[
  {
    "path": "README.md",
    "content": "# Numerical Python: Scientific Computing and Data Science Applications with NumPy, SciPy and Matplotlib\n\nRobert Johansson\n\nThis repository contains source code listings in the form of IPython notebooks for the book [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0), 3rd edition."
  },
  {
    "path": "ch01-Markdown.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# IPython notebook Markdown summary\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Test notebook for Markdown table in Chapter 1.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Italics\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Text that is surrounded by asterisks `*text*` is displayed as italics: *text*\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Bold\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Text that is surrounded by double asterisks `**text**` is displayed as bold: **text**\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Strike-through\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Text that is surrounded by double tidle `~~text~~` is displayed as strike-through: ~~text~~\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Fixed-width font\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Text that is quoted with ` characters are displayed as fixed-width font:\\n\",\n    \"\\n\",\n    \"`text`\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## URLs\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"URLs are written as\\t`[URL text](http://www.example.com)`: [URL text](http://www.example.com) \"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## New paragraph\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Separate the text of two paragraphs with an empty line.\\n\",\n    \"\\n\",\n    \"This is a new paragraph.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Verbatim\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Text that start with four spaces is displayed as verbatim:\\n\",\n    \"\\n\",\n    \"    def func(x):\\n\",\n    \"        return x ** 2\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Table\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"The format for tables are as follows:\\n\",\n    \"\\n\",\n    \"    | A | B | C |\\n\",\n    \"    |---|---|---|\\n\",\n    \"    | 1 | 2 | 3 |\\n\",\n    \"    | 4 | 5 | 6 |\\n\",\n    \"\\n\",\n    \"| A | B | C |\\n\",\n    \"|---|---|---|\\n\",\n    \"| 1 | 2 | 3 |\\n\",\n    \"| 4 | 5 | 6 |\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Horizontal line\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"A line with three dashes `---` is shown as a horizontal line:\\n\",\n    \"\\n\",\n    \"---\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Headings\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Lines starting with one `#` is a heading level 1, `##` is heading level 2, `###` is heading level 3, etc.\\n\",\n    \"\\n\",\n    \"# Level 1 heading\\n\",\n    \"## Level 2 heading\\n\",\n    \"### Level 3 heading\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Block quote\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Lines that start with `>` are displayed as a block quote:\\n\",\n    \"\\n\",\n    \"> Text here is indented and offset\\n\",\n    \"> from the main text body.\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Unordered list\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Unordered lists are created by starting lines with `*`\\n\",\n    \"\\n\",\n    \"* Item one\\n\",\n    \"* Item two\\n\",\n    \"* Item three\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Ordered list\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Ordered lists are created by simply enumerating lines with numbers followed a period: 1. ..., 2. ..., etc.\\n\",\n    \"1. Item one\\n\",\n    \"2. Item two\\n\",\n    \"3. Item three\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Image\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Images can be included using `![Alternative text](image-file.png)` or `![Alternative text](http://www.example.com/image.png)`:\\n\",\n    \"\\n\",\n    \"![Alternative text](image-file.png)\\n\",\n    \"\\n\",\n    \"![Alternative text](http://www.example.com/image.png)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## LaTeX\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Inline LaTeX equations can be included using `$\\\\LaTeX$`: $\\\\LaTeX$\\n\",\n    \"\\n\",\n    \"Displayed LaTeX equations (centered, and on a new line): `$$\\\\LaTeX$$`\\n\",\n    \"\\n\",\n    \"$$\\\\LaTeX$$ \\n\",\n    \"\\n\",\n    \"It is also possible to use latex environments like equation, eqnarray, align:\\n\",\n    \"\\n\",\n    \"`\\\\begin{equation} x = 1 \\\\end{equation}`\\n\",\n    \"\\n\",\n    \"\\\\begin{equation} x = 1 \\\\end{equation}\\n\",\n    \"\\n\",\n    \"`\\\\begin{eqnarray} x = 2 \\\\end{eqnarray}`\\n\",\n    \"\\n\",\n    \"\\\\begin{eqnarray} x = 2 \\\\end{eqnarray}\\n\",\n    \"\\n\",\n    \"`\\\\begin{align} x = 3 \\\\end{align}`\\n\",\n    \"\\n\",\n    \"\\\\begin{align} x = 3 \\\\end{align}\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Versions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"%reload_ext version_information\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/json\": {\n       \"Software versions\": [\n        {\n         \"module\": \"Python\",\n         \"version\": \"3.10.12 64bit [Clang 14.0.6 ]\"\n        },\n        {\n         \"module\": \"IPython\",\n         \"version\": \"8.12.0\"\n        },\n        {\n         \"module\": \"OS\",\n         \"version\": \"macOS 10.15.7 x86_64 i386 64bit\"\n        }\n       ]\n      },\n      \"text/html\": [\n       \"<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.10.12 64bit [Clang 14.0.6 ]</td></tr><tr><td>IPython</td><td>8.12.0</td></tr><tr><td>OS</td><td>macOS 10.15.7 x86\\\\_64 i386 64bit</td></tr><tr><td colspan='2'>Sat Nov 02 18:02:00 2024 JST</td></tr></table>\"\n      ],\n      \"text/latex\": [\n       \"\\\\begin{tabular}{|l|l|}\\\\hline\\n\",\n       \"{\\\\bf Software} & {\\\\bf Version} \\\\\\\\ \\\\hline\\\\hline\\n\",\n       \"Python & 3.10.12 64bit [Clang 14.0.6 ] \\\\\\\\ \\\\hline\\n\",\n       \"IPython & 8.12.0 \\\\\\\\ \\\\hline\\n\",\n       \"OS & macOS 10.15.7 x86\\\\_64 i386 64bit \\\\\\\\ \\\\hline\\n\",\n       \"\\\\hline \\\\multicolumn{2}{|l|}{Sat Nov 02 18:02:00 2024 JST} \\\\\\\\ \\\\hline\\n\",\n       \"\\\\end{tabular}\\n\"\n      ],\n      \"text/plain\": [\n       \"Software versions\\n\",\n       \"Python 3.10.12 64bit [Clang 14.0.6 ]\\n\",\n       \"IPython 8.12.0\\n\",\n       \"OS macOS 10.15.7 x86_64 i386 64bit\\n\",\n       \"Sat Nov 02 18:02:00 2024 JST\"\n      ]\n     },\n     \"execution_count\": 2,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%version_information\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": []\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"npbook_py310\",\n   \"language\": \"python\",\n   \"name\": \"npbook_py310\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "ch01-code-listing.html",
    "content": "<!DOCTYPE html>\n<html>\n<head><meta charset=\"utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n\n<title>ch01-code-listing</title><script src=\"https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js\"></script>\n\n\n\n\n<style type=\"text/css\">\n    pre { line-height: 125%; }\ntd.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }\nspan.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }\ntd.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }\nspan.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }\n.highlight .hll { background-color: var(--jp-cell-editor-active-background) }\n.highlight { background: var(--jp-cell-editor-background); color: var(--jp-mirror-editor-variable-color) }\n.highlight .c { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment */\n.highlight .err { color: var(--jp-mirror-editor-error-color) } /* Error */\n.highlight .k { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword */\n.highlight .o { color: var(--jp-mirror-editor-operator-color); font-weight: bold } /* Operator */\n.highlight .p { color: var(--jp-mirror-editor-punctuation-color) } /* Punctuation */\n.highlight .ch { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Hashbang */\n.highlight .cm { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Multiline */\n.highlight .cp { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Preproc */\n.highlight .cpf { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.PreprocFile */\n.highlight .c1 { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Single */\n.highlight .cs { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Special */\n.highlight .kc { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Constant */\n.highlight .kd { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Declaration */\n.highlight .kn { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Namespace */\n.highlight .kp { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Pseudo */\n.highlight .kr { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Reserved */\n.highlight .kt { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Type */\n.highlight .m { color: var(--jp-mirror-editor-number-color) } /* Literal.Number */\n.highlight .s { color: var(--jp-mirror-editor-string-color) } /* Literal.String */\n.highlight .ow { color: var(--jp-mirror-editor-operator-color); font-weight: bold } /* Operator.Word */\n.highlight .pm { color: var(--jp-mirror-editor-punctuation-color) } /* Punctuation.Marker */\n.highlight .w { color: var(--jp-mirror-editor-variable-color) } /* Text.Whitespace */\n.highlight .mb { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Bin */\n.highlight .mf { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Float */\n.highlight .mh { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Hex */\n.highlight .mi { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Integer */\n.highlight .mo { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Oct */\n.highlight .sa { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Affix */\n.highlight .sb { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Backtick */\n.highlight .sc { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Char */\n.highlight .dl { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Delimiter */\n.highlight .sd { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Doc */\n.highlight .s2 { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Double */\n.highlight .se { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Escape */\n.highlight .sh { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Heredoc */\n.highlight .si { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Interpol */\n.highlight .sx { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Other */\n.highlight .sr { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Regex */\n.highlight .s1 { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Single */\n.highlight .ss { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Symbol */\n.highlight .il { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Integer.Long */\n  </style>\n\n\n\n<style type=\"text/css\">\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*\n * Mozilla scrollbar styling\n */\n\n/* use standard opaque scrollbars for most nodes */\n[data-jp-theme-scrollbars='true'] {\n  scrollbar-color: rgb(var(--jp-scrollbar-thumb-color))\n    var(--jp-scrollbar-background-color);\n}\n\n/* for code nodes, use a transparent style of scrollbar. These selectors\n * will match lower in the tree, and so will override the above */\n[data-jp-theme-scrollbars='true'] .CodeMirror-hscrollbar,\n[data-jp-theme-scrollbars='true'] .CodeMirror-vscrollbar {\n  scrollbar-color: rgba(var(--jp-scrollbar-thumb-color), 0.5) transparent;\n}\n\n/* tiny scrollbar */\n\n.jp-scrollbar-tiny {\n  scrollbar-color: rgba(var(--jp-scrollbar-thumb-color), 0.5) transparent;\n  scrollbar-width: thin;\n}\n\n/*\n * Webkit scrollbar styling\n */\n\n/* use standard opaque scrollbars for most nodes */\n\n[data-jp-theme-scrollbars='true'] ::-webkit-scrollbar,\n[data-jp-theme-scrollbars='true'] ::-webkit-scrollbar-corner {\n  background: var(--jp-scrollbar-background-color);\n}\n\n[data-jp-theme-scrollbars='true'] ::-webkit-scrollbar-thumb {\n  background: rgb(var(--jp-scrollbar-thumb-color));\n  border: var(--jp-scrollbar-thumb-margin) solid transparent;\n  background-clip: content-box;\n  border-radius: var(--jp-scrollbar-thumb-radius);\n}\n\n[data-jp-theme-scrollbars='true'] ::-webkit-scrollbar-track:horizontal {\n  border-left: var(--jp-scrollbar-endpad) solid\n    var(--jp-scrollbar-background-color);\n  border-right: var(--jp-scrollbar-endpad) solid\n    var(--jp-scrollbar-background-color);\n}\n\n[data-jp-theme-scrollbars='true'] ::-webkit-scrollbar-track:vertical {\n  border-top: var(--jp-scrollbar-endpad) solid\n    var(--jp-scrollbar-background-color);\n  border-bottom: var(--jp-scrollbar-endpad) solid\n    var(--jp-scrollbar-background-color);\n}\n\n/* for code nodes, use a transparent style of scrollbar */\n\n[data-jp-theme-scrollbars='true'] .CodeMirror-hscrollbar::-webkit-scrollbar,\n[data-jp-theme-scrollbars='true'] .CodeMirror-vscrollbar::-webkit-scrollbar,\n[data-jp-theme-scrollbars='true']\n  .CodeMirror-hscrollbar::-webkit-scrollbar-corner,\n[data-jp-theme-scrollbars='true']\n  .CodeMirror-vscrollbar::-webkit-scrollbar-corner {\n  background-color: transparent;\n}\n\n[data-jp-theme-scrollbars='true']\n  .CodeMirror-hscrollbar::-webkit-scrollbar-thumb,\n[data-jp-theme-scrollbars='true']\n  .CodeMirror-vscrollbar::-webkit-scrollbar-thumb {\n  background: rgba(var(--jp-scrollbar-thumb-color), 0.5);\n  border: var(--jp-scrollbar-thumb-margin) solid transparent;\n  background-clip: content-box;\n  border-radius: var(--jp-scrollbar-thumb-radius);\n}\n\n[data-jp-theme-scrollbars='true']\n  .CodeMirror-hscrollbar::-webkit-scrollbar-track:horizontal {\n  border-left: var(--jp-scrollbar-endpad) solid transparent;\n  border-right: var(--jp-scrollbar-endpad) solid transparent;\n}\n\n[data-jp-theme-scrollbars='true']\n  .CodeMirror-vscrollbar::-webkit-scrollbar-track:vertical {\n  border-top: var(--jp-scrollbar-endpad) solid transparent;\n  border-bottom: var(--jp-scrollbar-endpad) solid transparent;\n}\n\n/* tiny scrollbar */\n\n.jp-scrollbar-tiny::-webkit-scrollbar,\n.jp-scrollbar-tiny::-webkit-scrollbar-corner {\n  background-color: transparent;\n  height: 4px;\n  width: 4px;\n}\n\n.jp-scrollbar-tiny::-webkit-scrollbar-thumb {\n  background: rgba(var(--jp-scrollbar-thumb-color), 0.5);\n}\n\n.jp-scrollbar-tiny::-webkit-scrollbar-track:horizontal {\n  border-left: 0px solid transparent;\n  border-right: 0px solid transparent;\n}\n\n.jp-scrollbar-tiny::-webkit-scrollbar-track:vertical {\n  border-top: 0px solid transparent;\n  border-bottom: 0px solid transparent;\n}\n\n/*\n * Phosphor\n */\n\n.lm-ScrollBar[data-orientation='horizontal'] {\n  min-height: 16px;\n  max-height: 16px;\n  min-width: 45px;\n  border-top: 1px solid #a0a0a0;\n}\n\n.lm-ScrollBar[data-orientation='vertical'] {\n  min-width: 16px;\n  max-width: 16px;\n  min-height: 45px;\n  border-left: 1px solid #a0a0a0;\n}\n\n.lm-ScrollBar-button {\n  background-color: #f0f0f0;\n  background-position: center center;\n  min-height: 15px;\n  max-height: 15px;\n  min-width: 15px;\n  max-width: 15px;\n}\n\n.lm-ScrollBar-button:hover {\n  background-color: #dadada;\n}\n\n.lm-ScrollBar-button.lm-mod-active {\n  background-color: #cdcdcd;\n}\n\n.lm-ScrollBar-track {\n  background: #f0f0f0;\n}\n\n.lm-ScrollBar-thumb {\n  background: #cdcdcd;\n}\n\n.lm-ScrollBar-thumb:hover {\n  background: #bababa;\n}\n\n.lm-ScrollBar-thumb.lm-mod-active {\n  background: #a0a0a0;\n}\n\n.lm-ScrollBar[data-orientation='horizontal'] .lm-ScrollBar-thumb {\n  height: 100%;\n  min-width: 15px;\n  border-left: 1px solid #a0a0a0;\n  border-right: 1px solid #a0a0a0;\n}\n\n.lm-ScrollBar[data-orientation='vertical'] .lm-ScrollBar-thumb {\n  width: 100%;\n  min-height: 15px;\n  border-top: 1px solid #a0a0a0;\n  border-bottom: 1px solid #a0a0a0;\n}\n\n.lm-ScrollBar[data-orientation='horizontal']\n  .lm-ScrollBar-button[data-action='decrement'] {\n  background-image: var(--jp-icon-caret-left);\n  background-size: 17px;\n}\n\n.lm-ScrollBar[data-orientation='horizontal']\n  .lm-ScrollBar-button[data-action='increment'] {\n  background-image: var(--jp-icon-caret-right);\n  background-size: 17px;\n}\n\n.lm-ScrollBar[data-orientation='vertical']\n  .lm-ScrollBar-button[data-action='decrement'] {\n  background-image: var(--jp-icon-caret-up);\n  background-size: 17px;\n}\n\n.lm-ScrollBar[data-orientation='vertical']\n  .lm-ScrollBar-button[data-action='increment'] {\n  background-image: var(--jp-icon-caret-down);\n  background-size: 17px;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Copyright (c) 2014-2017, PhosphorJS Contributors\n|\n| Distributed under the terms of the BSD 3-Clause License.\n|\n| The full license is in the file LICENSE, distributed with this software.\n|----------------------------------------------------------------------------*/\n\n\n/* <DEPRECATED> */ .p-Widget, /* </DEPRECATED> */\n.lm-Widget {\n  box-sizing: border-box;\n  position: relative;\n  overflow: hidden;\n  cursor: default;\n}\n\n\n/* <DEPRECATED> */ .p-Widget.p-mod-hidden, /* </DEPRECATED> */\n.lm-Widget.lm-mod-hidden {\n  display: none !important;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Copyright (c) 2014-2017, PhosphorJS Contributors\n|\n| Distributed under the terms of the BSD 3-Clause License.\n|\n| The full license is in the file LICENSE, distributed with this software.\n|----------------------------------------------------------------------------*/\n\n\n/* <DEPRECATED> */ .p-CommandPalette, /* </DEPRECATED> */\n.lm-CommandPalette {\n  display: flex;\n  flex-direction: column;\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n\n\n/* <DEPRECATED> */ .p-CommandPalette-search, /* </DEPRECATED> */\n.lm-CommandPalette-search {\n  flex: 0 0 auto;\n}\n\n\n/* <DEPRECATED> */ .p-CommandPalette-content, /* </DEPRECATED> */\n.lm-CommandPalette-content {\n  flex: 1 1 auto;\n  margin: 0;\n  padding: 0;\n  min-height: 0;\n  overflow: auto;\n  list-style-type: none;\n}\n\n\n/* <DEPRECATED> */ .p-CommandPalette-header, /* </DEPRECATED> */\n.lm-CommandPalette-header {\n  overflow: hidden;\n  white-space: nowrap;\n  text-overflow: ellipsis;\n}\n\n\n/* <DEPRECATED> */ .p-CommandPalette-item, /* </DEPRECATED> */\n.lm-CommandPalette-item {\n  display: flex;\n  flex-direction: row;\n}\n\n\n/* <DEPRECATED> */ .p-CommandPalette-itemIcon, /* </DEPRECATED> */\n.lm-CommandPalette-itemIcon {\n  flex: 0 0 auto;\n}\n\n\n/* <DEPRECATED> */ .p-CommandPalette-itemContent, /* </DEPRECATED> */\n.lm-CommandPalette-itemContent {\n  flex: 1 1 auto;\n  overflow: hidden;\n}\n\n\n/* <DEPRECATED> */ .p-CommandPalette-itemShortcut, /* </DEPRECATED> */\n.lm-CommandPalette-itemShortcut {\n  flex: 0 0 auto;\n}\n\n\n/* <DEPRECATED> */ .p-CommandPalette-itemLabel, /* </DEPRECATED> */\n.lm-CommandPalette-itemLabel {\n  overflow: hidden;\n  white-space: nowrap;\n  text-overflow: ellipsis;\n}\n\n.lm-close-icon {\n\tborder:1px solid transparent;\n  background-color: transparent;\n  position: absolute;\n\tz-index:1;\n\tright:3%;\n\ttop: 0;\n\tbottom: 0;\n\tmargin: auto;\n\tpadding: 7px 0;\n\tdisplay: none;\n\tvertical-align: middle;\n  outline: 0;\n  cursor: pointer;\n}\n.lm-close-icon:after {\n\tcontent: \"X\";\n\tdisplay: block;\n\twidth: 15px;\n\theight: 15px;\n\ttext-align: center;\n\tcolor:#000;\n\tfont-weight: normal;\n\tfont-size: 12px;\n\tcursor: pointer;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Copyright (c) 2014-2017, PhosphorJS Contributors\n|\n| Distributed under the terms of the BSD 3-Clause License.\n|\n| The full license is in the file LICENSE, distributed with this software.\n|----------------------------------------------------------------------------*/\n\n\n/* <DEPRECATED> */ .p-DockPanel, /* </DEPRECATED> */\n.lm-DockPanel {\n  z-index: 0;\n}\n\n\n/* <DEPRECATED> */ .p-DockPanel-widget, /* </DEPRECATED> */\n.lm-DockPanel-widget {\n  z-index: 0;\n}\n\n\n/* <DEPRECATED> */ .p-DockPanel-tabBar, /* </DEPRECATED> */\n.lm-DockPanel-tabBar {\n  z-index: 1;\n}\n\n\n/* <DEPRECATED> */ .p-DockPanel-handle, /* </DEPRECATED> */\n.lm-DockPanel-handle {\n  z-index: 2;\n}\n\n\n/* <DEPRECATED> */ .p-DockPanel-handle.p-mod-hidden, /* </DEPRECATED> */\n.lm-DockPanel-handle.lm-mod-hidden {\n  display: none !important;\n}\n\n\n/* <DEPRECATED> */ .p-DockPanel-handle:after, /* </DEPRECATED> */\n.lm-DockPanel-handle:after {\n  position: absolute;\n  top: 0;\n  left: 0;\n  width: 100%;\n  height: 100%;\n  content: '';\n}\n\n\n/* <DEPRECATED> */\n.p-DockPanel-handle[data-orientation='horizontal'],\n/* </DEPRECATED> */\n.lm-DockPanel-handle[data-orientation='horizontal'] {\n  cursor: ew-resize;\n}\n\n\n/* <DEPRECATED> */\n.p-DockPanel-handle[data-orientation='vertical'],\n/* </DEPRECATED> */\n.lm-DockPanel-handle[data-orientation='vertical'] {\n  cursor: ns-resize;\n}\n\n\n/* <DEPRECATED> */\n.p-DockPanel-handle[data-orientation='horizontal']:after,\n/* </DEPRECATED> */\n.lm-DockPanel-handle[data-orientation='horizontal']:after {\n  left: 50%;\n  min-width: 8px;\n  transform: translateX(-50%);\n}\n\n\n/* <DEPRECATED> */\n.p-DockPanel-handle[data-orientation='vertical']:after,\n/* </DEPRECATED> */\n.lm-DockPanel-handle[data-orientation='vertical']:after {\n  top: 50%;\n  min-height: 8px;\n  transform: translateY(-50%);\n}\n\n\n/* <DEPRECATED> */ .p-DockPanel-overlay, /* </DEPRECATED> */\n.lm-DockPanel-overlay {\n  z-index: 3;\n  box-sizing: border-box;\n  pointer-events: none;\n}\n\n\n/* <DEPRECATED> */ .p-DockPanel-overlay.p-mod-hidden, /* </DEPRECATED> */\n.lm-DockPanel-overlay.lm-mod-hidden {\n  display: none !important;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Copyright (c) 2014-2017, PhosphorJS Contributors\n|\n| Distributed under the terms of the BSD 3-Clause License.\n|\n| The full license is in the file LICENSE, distributed with this software.\n|----------------------------------------------------------------------------*/\n\n\n/* <DEPRECATED> */ .p-Menu, /* </DEPRECATED> */\n.lm-Menu {\n  z-index: 10000;\n  position: absolute;\n  white-space: nowrap;\n  overflow-x: hidden;\n  overflow-y: auto;\n  outline: none;\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n\n\n/* <DEPRECATED> */ .p-Menu-content, /* </DEPRECATED> */\n.lm-Menu-content {\n  margin: 0;\n  padding: 0;\n  display: table;\n  list-style-type: none;\n}\n\n\n/* <DEPRECATED> */ .p-Menu-item, /* </DEPRECATED> */\n.lm-Menu-item {\n  display: table-row;\n}\n\n\n/* <DEPRECATED> */\n.p-Menu-item.p-mod-hidden,\n.p-Menu-item.p-mod-collapsed,\n/* </DEPRECATED> */\n.lm-Menu-item.lm-mod-hidden,\n.lm-Menu-item.lm-mod-collapsed {\n  display: none !important;\n}\n\n\n/* <DEPRECATED> */\n.p-Menu-itemIcon,\n.p-Menu-itemSubmenuIcon,\n/* </DEPRECATED> */\n.lm-Menu-itemIcon,\n.lm-Menu-itemSubmenuIcon {\n  display: table-cell;\n  text-align: center;\n}\n\n\n/* <DEPRECATED> */ .p-Menu-itemLabel, /* </DEPRECATED> */\n.lm-Menu-itemLabel {\n  display: table-cell;\n  text-align: left;\n}\n\n\n/* <DEPRECATED> */ .p-Menu-itemShortcut, /* </DEPRECATED> */\n.lm-Menu-itemShortcut {\n  display: table-cell;\n  text-align: right;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Copyright (c) 2014-2017, PhosphorJS Contributors\n|\n| Distributed under the terms of the BSD 3-Clause License.\n|\n| The full license is in the file LICENSE, distributed with this software.\n|----------------------------------------------------------------------------*/\n\n\n/* <DEPRECATED> */ .p-MenuBar, /* </DEPRECATED> */\n.lm-MenuBar {\n  outline: none;\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n\n\n/* <DEPRECATED> */ .p-MenuBar-content, /* </DEPRECATED> */\n.lm-MenuBar-content {\n  margin: 0;\n  padding: 0;\n  display: flex;\n  flex-direction: row;\n  list-style-type: none;\n}\n\n\n/* <DEPRECATED> */ .p--MenuBar-item, /* </DEPRECATED> */\n.lm-MenuBar-item {\n  box-sizing: border-box;\n}\n\n\n/* <DEPRECATED> */\n.p-MenuBar-itemIcon,\n.p-MenuBar-itemLabel,\n/* </DEPRECATED> */\n.lm-MenuBar-itemIcon,\n.lm-MenuBar-itemLabel {\n  display: inline-block;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Copyright (c) 2014-2017, PhosphorJS Contributors\n|\n| Distributed under the terms of the BSD 3-Clause License.\n|\n| The full license is in the file LICENSE, distributed with this software.\n|----------------------------------------------------------------------------*/\n\n\n/* <DEPRECATED> */ .p-ScrollBar, /* </DEPRECATED> */\n.lm-ScrollBar {\n  display: flex;\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n\n\n/* <DEPRECATED> */\n.p-ScrollBar[data-orientation='horizontal'],\n/* </DEPRECATED> */\n.lm-ScrollBar[data-orientation='horizontal'] {\n  flex-direction: row;\n}\n\n\n/* <DEPRECATED> */\n.p-ScrollBar[data-orientation='vertical'],\n/* </DEPRECATED> */\n.lm-ScrollBar[data-orientation='vertical'] {\n  flex-direction: column;\n}\n\n\n/* <DEPRECATED> */ .p-ScrollBar-button, /* </DEPRECATED> */\n.lm-ScrollBar-button {\n  box-sizing: border-box;\n  flex: 0 0 auto;\n}\n\n\n/* <DEPRECATED> */ .p-ScrollBar-track, /* </DEPRECATED> */\n.lm-ScrollBar-track {\n  box-sizing: border-box;\n  position: relative;\n  overflow: hidden;\n  flex: 1 1 auto;\n}\n\n\n/* <DEPRECATED> */ .p-ScrollBar-thumb, /* </DEPRECATED> */\n.lm-ScrollBar-thumb {\n  box-sizing: border-box;\n  position: absolute;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Copyright (c) 2014-2017, PhosphorJS Contributors\n|\n| Distributed under the terms of the BSD 3-Clause License.\n|\n| The full license is in the file LICENSE, distributed with this software.\n|----------------------------------------------------------------------------*/\n\n\n/* <DEPRECATED> */ .p-SplitPanel-child, /* </DEPRECATED> */\n.lm-SplitPanel-child {\n  z-index: 0;\n}\n\n\n/* <DEPRECATED> */ .p-SplitPanel-handle, /* </DEPRECATED> */\n.lm-SplitPanel-handle {\n  z-index: 1;\n}\n\n\n/* <DEPRECATED> */ .p-SplitPanel-handle.p-mod-hidden, /* </DEPRECATED> */\n.lm-SplitPanel-handle.lm-mod-hidden {\n  display: none !important;\n}\n\n\n/* <DEPRECATED> */ .p-SplitPanel-handle:after, /* </DEPRECATED> */\n.lm-SplitPanel-handle:after {\n  position: absolute;\n  top: 0;\n  left: 0;\n  width: 100%;\n  height: 100%;\n  content: '';\n}\n\n\n/* <DEPRECATED> */\n.p-SplitPanel[data-orientation='horizontal'] > .p-SplitPanel-handle,\n/* </DEPRECATED> */\n.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle {\n  cursor: ew-resize;\n}\n\n\n/* <DEPRECATED> */\n.p-SplitPanel[data-orientation='vertical'] > .p-SplitPanel-handle,\n/* </DEPRECATED> */\n.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle {\n  cursor: ns-resize;\n}\n\n\n/* <DEPRECATED> */\n.p-SplitPanel[data-orientation='horizontal'] > .p-SplitPanel-handle:after,\n/* </DEPRECATED> */\n.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle:after {\n  left: 50%;\n  min-width: 8px;\n  transform: translateX(-50%);\n}\n\n\n/* <DEPRECATED> */\n.p-SplitPanel[data-orientation='vertical'] > .p-SplitPanel-handle:after,\n/* </DEPRECATED> */\n.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle:after {\n  top: 50%;\n  min-height: 8px;\n  transform: translateY(-50%);\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Copyright (c) 2014-2017, PhosphorJS Contributors\n|\n| Distributed under the terms of the BSD 3-Clause License.\n|\n| The full license is in the file LICENSE, distributed with this software.\n|----------------------------------------------------------------------------*/\n\n\n/* <DEPRECATED> */ .p-TabBar, /* </DEPRECATED> */\n.lm-TabBar {\n  display: flex;\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n\n\n/* <DEPRECATED> */ .p-TabBar[data-orientation='horizontal'], /* </DEPRECATED> */\n.lm-TabBar[data-orientation='horizontal'] {\n  flex-direction: row;\n  align-items: flex-end;\n}\n\n\n/* <DEPRECATED> */ .p-TabBar[data-orientation='vertical'], /* </DEPRECATED> */\n.lm-TabBar[data-orientation='vertical'] {\n  flex-direction: column;\n  align-items: flex-end;\n}\n\n\n/* <DEPRECATED> */ .p-TabBar-content, /* </DEPRECATED> */\n.lm-TabBar-content {\n  margin: 0;\n  padding: 0;\n  display: flex;\n  flex: 1 1 auto;\n  list-style-type: none;\n}\n\n\n/* <DEPRECATED> */\n.p-TabBar[data-orientation='horizontal'] > .p-TabBar-content,\n/* </DEPRECATED> */\n.lm-TabBar[data-orientation='horizontal'] > .lm-TabBar-content {\n  flex-direction: row;\n}\n\n\n/* <DEPRECATED> */\n.p-TabBar[data-orientation='vertical'] > .p-TabBar-content,\n/* </DEPRECATED> */\n.lm-TabBar[data-orientation='vertical'] > .lm-TabBar-content {\n  flex-direction: column;\n}\n\n\n/* <DEPRECATED> */ .p-TabBar-tab, /* </DEPRECATED> */\n.lm-TabBar-tab {\n  display: flex;\n  flex-direction: row;\n  box-sizing: border-box;\n  overflow: hidden;\n}\n\n\n/* <DEPRECATED> */\n.p-TabBar-tabIcon,\n.p-TabBar-tabCloseIcon,\n/* </DEPRECATED> */\n.lm-TabBar-tabIcon,\n.lm-TabBar-tabCloseIcon {\n  flex: 0 0 auto;\n}\n\n\n/* <DEPRECATED> */ .p-TabBar-tabLabel, /* </DEPRECATED> */\n.lm-TabBar-tabLabel {\n  flex: 1 1 auto;\n  overflow: hidden;\n  white-space: nowrap;\n}\n\n\n.lm-TabBar-tabInput {\n  user-select: all;\n  width: 100%;\n  box-sizing : border-box;\n}\n\n\n/* <DEPRECATED> */ .p-TabBar-tab.p-mod-hidden, /* </DEPRECATED> */\n.lm-TabBar-tab.lm-mod-hidden {\n  display: none !important;\n}\n\n\n.lm-TabBar-addButton.lm-mod-hidden {\n  display: none !important;\n}\n\n\n/* <DEPRECATED> */ .p-TabBar.p-mod-dragging .p-TabBar-tab, /* </DEPRECATED> */\n.lm-TabBar.lm-mod-dragging .lm-TabBar-tab {\n  position: relative;\n}\n\n\n/* <DEPRECATED> */\n.p-TabBar.p-mod-dragging[data-orientation='horizontal'] .p-TabBar-tab,\n/* </DEPRECATED> */\n.lm-TabBar.lm-mod-dragging[data-orientation='horizontal'] .lm-TabBar-tab {\n  left: 0;\n  transition: left 150ms ease;\n}\n\n\n/* <DEPRECATED> */\n.p-TabBar.p-mod-dragging[data-orientation='vertical'] .p-TabBar-tab,\n/* </DEPRECATED> */\n.lm-TabBar.lm-mod-dragging[data-orientation='vertical'] .lm-TabBar-tab {\n  top: 0;\n  transition: top 150ms ease;\n}\n\n\n/* <DEPRECATED> */\n.p-TabBar.p-mod-dragging .p-TabBar-tab.p-mod-dragging,\n/* </DEPRECATED> */\n.lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging {\n  transition: none;\n}\n\n.lm-TabBar-tabLabel .lm-TabBar-tabInput {\n  user-select: all;\n  width: 100%;\n  box-sizing : border-box;\n  background: inherit;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Copyright (c) 2014-2017, PhosphorJS Contributors\n|\n| Distributed under the terms of the BSD 3-Clause License.\n|\n| The full license is in the file LICENSE, distributed with this software.\n|----------------------------------------------------------------------------*/\n\n\n/* <DEPRECATED> */ .p-TabPanel-tabBar, /* </DEPRECATED> */\n.lm-TabPanel-tabBar {\n  z-index: 1;\n}\n\n\n/* <DEPRECATED> */ .p-TabPanel-stackedPanel, /* </DEPRECATED> */\n.lm-TabPanel-stackedPanel {\n  z-index: 0;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Copyright (c) 2014-2017, PhosphorJS Contributors\n|\n| Distributed under the terms of the BSD 3-Clause License.\n|\n| The full license is in the file LICENSE, distributed with this software.\n|----------------------------------------------------------------------------*/\n\n@charset \"UTF-8\";\nhtml{\n  -webkit-box-sizing:border-box;\n          box-sizing:border-box; }\n\n*,\n*::before,\n*::after{\n  -webkit-box-sizing:inherit;\n          box-sizing:inherit; }\n\nbody{\n  font-size:14px;\n  font-weight:400;\n  letter-spacing:0;\n  line-height:1.28581;\n  text-transform:none;\n  color:#182026;\n  font-family:-apple-system, \"BlinkMacSystemFont\", \"Segoe UI\", \"Roboto\", \"Oxygen\", \"Ubuntu\", \"Cantarell\", \"Open Sans\", \"Helvetica Neue\", \"Icons16\", sans-serif; }\n\np{\n  margin-bottom:10px;\n  margin-top:0; }\n\nsmall{\n  font-size:12px; }\n\nstrong{\n  font-weight:600; }\n\n::-moz-selection{\n  background:rgba(125, 188, 255, 0.6); }\n\n::selection{\n  background:rgba(125, 188, 255, 0.6); }\n.bp3-heading{\n  color:#182026;\n  font-weight:600;\n  margin:0 0 10px;\n  padding:0; }\n  .bp3-dark .bp3-heading{\n    color:#f5f8fa; }\n\nh1.bp3-heading, .bp3-running-text h1{\n  font-size:36px;\n  line-height:40px; }\n\nh2.bp3-heading, .bp3-running-text h2{\n  font-size:28px;\n  line-height:32px; }\n\nh3.bp3-heading, .bp3-running-text h3{\n  font-size:22px;\n  line-height:25px; }\n\nh4.bp3-heading, .bp3-running-text h4{\n  font-size:18px;\n  line-height:21px; }\n\nh5.bp3-heading, .bp3-running-text h5{\n  font-size:16px;\n  line-height:19px; }\n\nh6.bp3-heading, .bp3-running-text h6{\n  font-size:14px;\n  line-height:16px; }\n.bp3-ui-text{\n  font-size:14px;\n  font-weight:400;\n  letter-spacing:0;\n  line-height:1.28581;\n  text-transform:none; }\n\n.bp3-monospace-text{\n  font-family:monospace;\n  text-transform:none; }\n\n.bp3-text-muted{\n  color:#5c7080; }\n  .bp3-dark .bp3-text-muted{\n    color:#a7b6c2; }\n\n.bp3-text-disabled{\n  color:rgba(92, 112, 128, 0.6); }\n  .bp3-dark .bp3-text-disabled{\n    color:rgba(167, 182, 194, 0.6); }\n\n.bp3-text-overflow-ellipsis{\n  overflow:hidden;\n  text-overflow:ellipsis;\n  white-space:nowrap;\n  word-wrap:normal; }\n.bp3-running-text{\n  font-size:14px;\n  line-height:1.5; }\n  .bp3-running-text h1{\n    color:#182026;\n    font-weight:600;\n    margin-bottom:20px;\n    margin-top:40px; }\n    .bp3-dark .bp3-running-text h1{\n      color:#f5f8fa; }\n  .bp3-running-text h2{\n    color:#182026;\n    font-weight:600;\n    margin-bottom:20px;\n    margin-top:40px; }\n    .bp3-dark .bp3-running-text h2{\n      color:#f5f8fa; }\n  .bp3-running-text h3{\n    color:#182026;\n    font-weight:600;\n    margin-bottom:20px;\n    margin-top:40px; }\n    .bp3-dark .bp3-running-text h3{\n      color:#f5f8fa; }\n  .bp3-running-text h4{\n    color:#182026;\n    font-weight:600;\n    margin-bottom:20px;\n    margin-top:40px; }\n    .bp3-dark .bp3-running-text h4{\n      color:#f5f8fa; }\n  .bp3-running-text h5{\n    color:#182026;\n    font-weight:600;\n    margin-bottom:20px;\n    margin-top:40px; }\n    .bp3-dark .bp3-running-text h5{\n      color:#f5f8fa; }\n  .bp3-running-text h6{\n    color:#182026;\n    font-weight:600;\n    margin-bottom:20px;\n    margin-top:40px; }\n    .bp3-dark .bp3-running-text h6{\n      color:#f5f8fa; }\n  .bp3-running-text hr{\n    border:none;\n    border-bottom:1px solid rgba(16, 22, 26, 0.15);\n    margin:20px 0; }\n    .bp3-dark .bp3-running-text hr{\n      border-color:rgba(255, 255, 255, 0.15); }\n  .bp3-running-text p{\n    margin:0 0 10px;\n    padding:0; }\n\n.bp3-text-large{\n  font-size:16px; }\n\n.bp3-text-small{\n  font-size:12px; }\na{\n  color:#106ba3;\n  text-decoration:none; }\n  a:hover{\n    color:#106ba3;\n    cursor:pointer;\n    text-decoration:underline; }\n  a .bp3-icon, a .bp3-icon-standard, a .bp3-icon-large{\n    color:inherit; }\n  a code,\n  .bp3-dark a code{\n    color:inherit; }\n  .bp3-dark a,\n  .bp3-dark a:hover{\n    color:#48aff0; }\n    .bp3-dark a .bp3-icon, .bp3-dark a .bp3-icon-standard, .bp3-dark a .bp3-icon-large,\n    .bp3-dark a:hover .bp3-icon,\n    .bp3-dark a:hover .bp3-icon-standard,\n    .bp3-dark a:hover .bp3-icon-large{\n      color:inherit; }\n.bp3-running-text code, .bp3-code{\n  font-family:monospace;\n  text-transform:none;\n  background:rgba(255, 255, 255, 0.7);\n  border-radius:3px;\n  -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2);\n          box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2);\n  color:#5c7080;\n  font-size:smaller;\n  padding:2px 5px; }\n  .bp3-dark .bp3-running-text code, .bp3-running-text .bp3-dark code, .bp3-dark .bp3-code{\n    background:rgba(16, 22, 26, 0.3);\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);\n    color:#a7b6c2; }\n  .bp3-running-text a > code, a > .bp3-code{\n    color:#137cbd; }\n    .bp3-dark .bp3-running-text a > code, .bp3-running-text .bp3-dark a > code, .bp3-dark a > .bp3-code{\n      color:inherit; }\n\n.bp3-running-text pre, .bp3-code-block{\n  font-family:monospace;\n  text-transform:none;\n  background:rgba(255, 255, 255, 0.7);\n  border-radius:3px;\n  -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.15);\n          box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.15);\n  color:#182026;\n  display:block;\n  font-size:13px;\n  line-height:1.4;\n  margin:10px 0;\n  padding:13px 15px 12px;\n  word-break:break-all;\n  word-wrap:break-word; }\n  .bp3-dark .bp3-running-text pre, .bp3-running-text .bp3-dark pre, .bp3-dark .bp3-code-block{\n    background:rgba(16, 22, 26, 0.3);\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);\n    color:#f5f8fa; }\n  .bp3-running-text pre > code, .bp3-code-block > code{\n    background:none;\n    -webkit-box-shadow:none;\n            box-shadow:none;\n    color:inherit;\n    font-size:inherit;\n    padding:0; }\n\n.bp3-running-text kbd, .bp3-key{\n  -webkit-box-align:center;\n      -ms-flex-align:center;\n          align-items:center;\n  background:#ffffff;\n  border-radius:3px;\n  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.2);\n          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.2);\n  color:#5c7080;\n  display:-webkit-inline-box;\n  display:-ms-inline-flexbox;\n  display:inline-flex;\n  font-family:inherit;\n  font-size:12px;\n  height:24px;\n  -webkit-box-pack:center;\n      -ms-flex-pack:center;\n          justify-content:center;\n  line-height:24px;\n  min-width:24px;\n  padding:3px 6px;\n  vertical-align:middle; }\n  .bp3-running-text kbd .bp3-icon, .bp3-key .bp3-icon, .bp3-running-text kbd .bp3-icon-standard, .bp3-key .bp3-icon-standard, .bp3-running-text kbd .bp3-icon-large, .bp3-key .bp3-icon-large{\n    margin-right:5px; }\n  .bp3-dark .bp3-running-text kbd, .bp3-running-text .bp3-dark kbd, .bp3-dark .bp3-key{\n    background:#394b59;\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4);\n    color:#a7b6c2; }\n.bp3-running-text blockquote, .bp3-blockquote{\n  border-left:solid 4px rgba(167, 182, 194, 0.5);\n  margin:0 0 10px;\n  padding:0 20px; }\n  .bp3-dark .bp3-running-text blockquote, .bp3-running-text .bp3-dark blockquote, .bp3-dark .bp3-blockquote{\n    border-color:rgba(115, 134, 148, 0.5); }\n.bp3-running-text ul,\n.bp3-running-text ol, .bp3-list{\n  margin:10px 0;\n  padding-left:30px; }\n  .bp3-running-text ul li:not(:last-child), .bp3-running-text ol li:not(:last-child), .bp3-list li:not(:last-child){\n    margin-bottom:5px; }\n  .bp3-running-text ul ol, .bp3-running-text ol ol, .bp3-list ol,\n  .bp3-running-text ul ul,\n  .bp3-running-text ol ul,\n  .bp3-list ul{\n    margin-top:5px; }\n\n.bp3-list-unstyled{\n  list-style:none;\n  margin:0;\n  padding:0; }\n  .bp3-list-unstyled li{\n    padding:0; }\n.bp3-rtl{\n  text-align:right; }\n\n.bp3-dark{\n  color:#f5f8fa; }\n\n:focus{\n  outline:rgba(19, 124, 189, 0.6) auto 2px;\n  outline-offset:2px;\n  -moz-outline-radius:6px; }\n\n.bp3-focus-disabled :focus{\n  outline:none !important; }\n  .bp3-focus-disabled :focus ~ .bp3-control-indicator{\n    outline:none !important; }\n\n.bp3-alert{\n  max-width:400px;\n  padding:20px; }\n\n.bp3-alert-body{\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex; }\n  .bp3-alert-body .bp3-icon{\n    font-size:40px;\n    margin-right:20px;\n    margin-top:0; }\n\n.bp3-alert-contents{\n  word-break:break-word; }\n\n.bp3-alert-footer{\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -webkit-box-orient:horizontal;\n  -webkit-box-direction:reverse;\n      -ms-flex-direction:row-reverse;\n          flex-direction:row-reverse;\n  margin-top:10px; }\n  .bp3-alert-footer .bp3-button{\n    margin-left:10px; }\n.bp3-breadcrumbs{\n  -webkit-box-align:center;\n      -ms-flex-align:center;\n          align-items:center;\n  cursor:default;\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -ms-flex-wrap:wrap;\n      flex-wrap:wrap;\n  height:30px;\n  list-style:none;\n  margin:0;\n  padding:0; }\n  .bp3-breadcrumbs > li{\n    -webkit-box-align:center;\n        -ms-flex-align:center;\n            align-items:center;\n    display:-webkit-box;\n    display:-ms-flexbox;\n    display:flex; }\n    .bp3-breadcrumbs > li::after{\n      background:url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill-rule='evenodd' clip-rule='evenodd' d='M10.71 7.29l-4-4a1.003 1.003 0 00-1.42 1.42L8.59 8 5.3 11.29c-.19.18-.3.43-.3.71a1.003 1.003 0 001.71.71l4-4c.18-.18.29-.43.29-.71 0-.28-.11-.53-.29-.71z' fill='%235C7080'/%3e%3c/svg%3e\");\n      content:\"\";\n      display:block;\n      height:16px;\n      margin:0 5px;\n      width:16px; }\n    .bp3-breadcrumbs > li:last-of-type::after{\n      display:none; }\n\n.bp3-breadcrumb,\n.bp3-breadcrumb-current,\n.bp3-breadcrumbs-collapsed{\n  -webkit-box-align:center;\n      -ms-flex-align:center;\n          align-items:center;\n  display:-webkit-inline-box;\n  display:-ms-inline-flexbox;\n  display:inline-flex;\n  font-size:16px; }\n\n.bp3-breadcrumb,\n.bp3-breadcrumbs-collapsed{\n  color:#5c7080; }\n\n.bp3-breadcrumb:hover{\n  text-decoration:none; }\n\n.bp3-breadcrumb.bp3-disabled{\n  color:rgba(92, 112, 128, 0.6);\n  cursor:not-allowed; }\n\n.bp3-breadcrumb .bp3-icon{\n  margin-right:5px; }\n\n.bp3-breadcrumb-current{\n  color:inherit;\n  font-weight:600; }\n  .bp3-breadcrumb-current .bp3-input{\n    font-size:inherit;\n    font-weight:inherit;\n    vertical-align:baseline; }\n\n.bp3-breadcrumbs-collapsed{\n  background:#ced9e0;\n  border:none;\n  border-radius:3px;\n  cursor:pointer;\n  margin-right:2px;\n  padding:1px 5px;\n  vertical-align:text-bottom; }\n  .bp3-breadcrumbs-collapsed::before{\n    background:url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cg fill='%235C7080'%3e%3ccircle cx='2' cy='8.03' r='2'/%3e%3ccircle cx='14' cy='8.03' r='2'/%3e%3ccircle cx='8' cy='8.03' r='2'/%3e%3c/g%3e%3c/svg%3e\") center no-repeat;\n    content:\"\";\n    display:block;\n    height:16px;\n    width:16px; }\n  .bp3-breadcrumbs-collapsed:hover{\n    background:#bfccd6;\n    color:#182026;\n    text-decoration:none; }\n\n.bp3-dark .bp3-breadcrumb,\n.bp3-dark .bp3-breadcrumbs-collapsed{\n  color:#a7b6c2; }\n\n.bp3-dark .bp3-breadcrumbs > li::after{\n  color:#a7b6c2; }\n\n.bp3-dark .bp3-breadcrumb.bp3-disabled{\n  color:rgba(167, 182, 194, 0.6); }\n\n.bp3-dark .bp3-breadcrumb-current{\n  color:#f5f8fa; }\n\n.bp3-dark .bp3-breadcrumbs-collapsed{\n  background:rgba(16, 22, 26, 0.4); }\n  .bp3-dark .bp3-breadcrumbs-collapsed:hover{\n    background:rgba(16, 22, 26, 0.6);\n    color:#f5f8fa; }\n.bp3-button{\n  display:-webkit-inline-box;\n  display:-ms-inline-flexbox;\n  display:inline-flex;\n  -webkit-box-orient:horizontal;\n  -webkit-box-direction:normal;\n      -ms-flex-direction:row;\n          flex-direction:row;\n  -webkit-box-align:center;\n      -ms-flex-align:center;\n          align-items:center;\n  border:none;\n  border-radius:3px;\n  cursor:pointer;\n  font-size:14px;\n  -webkit-box-pack:center;\n      -ms-flex-pack:center;\n          justify-content:center;\n  padding:5px 10px;\n  text-align:left;\n  vertical-align:middle;\n  min-height:30px;\n  min-width:30px; }\n  .bp3-button > *{\n    -webkit-box-flex:0;\n        -ms-flex-positive:0;\n            flex-grow:0;\n    -ms-flex-negative:0;\n        flex-shrink:0; }\n  .bp3-button > .bp3-fill{\n    -webkit-box-flex:1;\n        -ms-flex-positive:1;\n            flex-grow:1;\n    -ms-flex-negative:1;\n        flex-shrink:1; }\n  .bp3-button::before,\n  .bp3-button > *{\n    margin-right:7px; }\n  .bp3-button:empty::before,\n  .bp3-button > :last-child{\n    margin-right:0; }\n  .bp3-button:empty{\n    padding:0 !important; }\n  .bp3-button:disabled, .bp3-button.bp3-disabled{\n    cursor:not-allowed; }\n  .bp3-button.bp3-fill{\n    display:-webkit-box;\n    display:-ms-flexbox;\n    display:flex;\n    width:100%; }\n  .bp3-button.bp3-align-right,\n  .bp3-align-right .bp3-button{\n    text-align:right; }\n  .bp3-button.bp3-align-left,\n  .bp3-align-left .bp3-button{\n    text-align:left; }\n  .bp3-button:not([class*=\"bp3-intent-\"]){\n    background-color:#f5f8fa;\n    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.8)), to(rgba(255, 255, 255, 0)));\n    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.8), rgba(255, 255, 255, 0));\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);\n    color:#182026; }\n    .bp3-button:not([class*=\"bp3-intent-\"]):hover{\n      background-clip:padding-box;\n      background-color:#ebf1f5;\n      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);\n              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1); }\n    .bp3-button:not([class*=\"bp3-intent-\"]):active, .bp3-button:not([class*=\"bp3-intent-\"]).bp3-active{\n      background-color:#d8e1e8;\n      background-image:none;\n      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2); }\n    .bp3-button:not([class*=\"bp3-intent-\"]):disabled, .bp3-button:not([class*=\"bp3-intent-\"]).bp3-disabled{\n      background-color:rgba(206, 217, 224, 0.5);\n      background-image:none;\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:rgba(92, 112, 128, 0.6);\n      cursor:not-allowed;\n      outline:none; }\n      .bp3-button:not([class*=\"bp3-intent-\"]):disabled.bp3-active, .bp3-button:not([class*=\"bp3-intent-\"]):disabled.bp3-active:hover, .bp3-button:not([class*=\"bp3-intent-\"]).bp3-disabled.bp3-active, .bp3-button:not([class*=\"bp3-intent-\"]).bp3-disabled.bp3-active:hover{\n        background:rgba(206, 217, 224, 0.7); }\n  .bp3-button.bp3-intent-primary{\n    background-color:#137cbd;\n    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.1)), to(rgba(255, 255, 255, 0)));\n    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);\n    color:#ffffff; }\n    .bp3-button.bp3-intent-primary:hover, .bp3-button.bp3-intent-primary:active, .bp3-button.bp3-intent-primary.bp3-active{\n      color:#ffffff; }\n    .bp3-button.bp3-intent-primary:hover{\n      background-color:#106ba3;\n      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);\n              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2); }\n    .bp3-button.bp3-intent-primary:active, .bp3-button.bp3-intent-primary.bp3-active{\n      background-color:#0e5a8a;\n      background-image:none;\n      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }\n    .bp3-button.bp3-intent-primary:disabled, .bp3-button.bp3-intent-primary.bp3-disabled{\n      background-color:rgba(19, 124, 189, 0.5);\n      background-image:none;\n      border-color:transparent;\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:rgba(255, 255, 255, 0.6); }\n  .bp3-button.bp3-intent-success{\n    background-color:#0f9960;\n    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.1)), to(rgba(255, 255, 255, 0)));\n    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);\n    color:#ffffff; }\n    .bp3-button.bp3-intent-success:hover, .bp3-button.bp3-intent-success:active, .bp3-button.bp3-intent-success.bp3-active{\n      color:#ffffff; }\n    .bp3-button.bp3-intent-success:hover{\n      background-color:#0d8050;\n      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);\n              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2); }\n    .bp3-button.bp3-intent-success:active, .bp3-button.bp3-intent-success.bp3-active{\n      background-color:#0a6640;\n      background-image:none;\n      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }\n    .bp3-button.bp3-intent-success:disabled, .bp3-button.bp3-intent-success.bp3-disabled{\n      background-color:rgba(15, 153, 96, 0.5);\n      background-image:none;\n      border-color:transparent;\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:rgba(255, 255, 255, 0.6); }\n  .bp3-button.bp3-intent-warning{\n    background-color:#d9822b;\n    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.1)), to(rgba(255, 255, 255, 0)));\n    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);\n    color:#ffffff; }\n    .bp3-button.bp3-intent-warning:hover, .bp3-button.bp3-intent-warning:active, .bp3-button.bp3-intent-warning.bp3-active{\n      color:#ffffff; }\n    .bp3-button.bp3-intent-warning:hover{\n      background-color:#bf7326;\n      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);\n              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2); }\n    .bp3-button.bp3-intent-warning:active, .bp3-button.bp3-intent-warning.bp3-active{\n      background-color:#a66321;\n      background-image:none;\n      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }\n    .bp3-button.bp3-intent-warning:disabled, .bp3-button.bp3-intent-warning.bp3-disabled{\n      background-color:rgba(217, 130, 43, 0.5);\n      background-image:none;\n      border-color:transparent;\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:rgba(255, 255, 255, 0.6); }\n  .bp3-button.bp3-intent-danger{\n    background-color:#db3737;\n    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.1)), to(rgba(255, 255, 255, 0)));\n    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);\n    color:#ffffff; }\n    .bp3-button.bp3-intent-danger:hover, .bp3-button.bp3-intent-danger:active, .bp3-button.bp3-intent-danger.bp3-active{\n      color:#ffffff; }\n    .bp3-button.bp3-intent-danger:hover{\n      background-color:#c23030;\n      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);\n              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2); }\n    .bp3-button.bp3-intent-danger:active, .bp3-button.bp3-intent-danger.bp3-active{\n      background-color:#a82a2a;\n      background-image:none;\n      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }\n    .bp3-button.bp3-intent-danger:disabled, .bp3-button.bp3-intent-danger.bp3-disabled{\n      background-color:rgba(219, 55, 55, 0.5);\n      background-image:none;\n      border-color:transparent;\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:rgba(255, 255, 255, 0.6); }\n  .bp3-button[class*=\"bp3-intent-\"] .bp3-button-spinner .bp3-spinner-head{\n    stroke:#ffffff; }\n  .bp3-button.bp3-large,\n  .bp3-large .bp3-button{\n    min-height:40px;\n    min-width:40px;\n    font-size:16px;\n    padding:5px 15px; }\n    .bp3-button.bp3-large::before,\n    .bp3-button.bp3-large > *,\n    .bp3-large .bp3-button::before,\n    .bp3-large .bp3-button > *{\n      margin-right:10px; }\n    .bp3-button.bp3-large:empty::before,\n    .bp3-button.bp3-large > :last-child,\n    .bp3-large .bp3-button:empty::before,\n    .bp3-large .bp3-button > :last-child{\n      margin-right:0; }\n  .bp3-button.bp3-small,\n  .bp3-small .bp3-button{\n    min-height:24px;\n    min-width:24px;\n    padding:0 7px; }\n  .bp3-button.bp3-loading{\n    position:relative; }\n    .bp3-button.bp3-loading[class*=\"bp3-icon-\"]::before{\n      visibility:hidden; }\n    .bp3-button.bp3-loading .bp3-button-spinner{\n      margin:0;\n      position:absolute; }\n    .bp3-button.bp3-loading > :not(.bp3-button-spinner){\n      visibility:hidden; }\n  .bp3-button[class*=\"bp3-icon-\"]::before{\n    font-family:\"Icons16\", sans-serif;\n    font-size:16px;\n    font-style:normal;\n    font-weight:400;\n    line-height:1;\n    -moz-osx-font-smoothing:grayscale;\n    -webkit-font-smoothing:antialiased;\n    color:#5c7080; }\n  .bp3-button .bp3-icon, .bp3-button .bp3-icon-standard, .bp3-button .bp3-icon-large{\n    color:#5c7080; }\n    .bp3-button .bp3-icon.bp3-align-right, .bp3-button .bp3-icon-standard.bp3-align-right, .bp3-button .bp3-icon-large.bp3-align-right{\n      margin-left:7px; }\n  .bp3-button .bp3-icon:first-child:last-child,\n  .bp3-button .bp3-spinner + .bp3-icon:last-child{\n    margin:0 -7px; }\n  .bp3-dark .bp3-button:not([class*=\"bp3-intent-\"]){\n    background-color:#394b59;\n    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.05)), to(rgba(255, 255, 255, 0)));\n    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.05), rgba(255, 255, 255, 0));\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);\n    color:#f5f8fa; }\n    .bp3-dark .bp3-button:not([class*=\"bp3-intent-\"]):hover, .bp3-dark .bp3-button:not([class*=\"bp3-intent-\"]):active, .bp3-dark .bp3-button:not([class*=\"bp3-intent-\"]).bp3-active{\n      color:#f5f8fa; }\n    .bp3-dark .bp3-button:not([class*=\"bp3-intent-\"]):hover{\n      background-color:#30404d;\n      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);\n              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }\n    .bp3-dark .bp3-button:not([class*=\"bp3-intent-\"]):active, .bp3-dark .bp3-button:not([class*=\"bp3-intent-\"]).bp3-active{\n      background-color:#202b33;\n      background-image:none;\n      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2); }\n    .bp3-dark .bp3-button:not([class*=\"bp3-intent-\"]):disabled, .bp3-dark .bp3-button:not([class*=\"bp3-intent-\"]).bp3-disabled{\n      background-color:rgba(57, 75, 89, 0.5);\n      background-image:none;\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:rgba(167, 182, 194, 0.6); }\n      .bp3-dark .bp3-button:not([class*=\"bp3-intent-\"]):disabled.bp3-active, .bp3-dark .bp3-button:not([class*=\"bp3-intent-\"]).bp3-disabled.bp3-active{\n        background:rgba(57, 75, 89, 0.7); }\n    .bp3-dark .bp3-button:not([class*=\"bp3-intent-\"]) .bp3-button-spinner .bp3-spinner-head{\n      background:rgba(16, 22, 26, 0.5);\n      stroke:#8a9ba8; }\n    .bp3-dark .bp3-button:not([class*=\"bp3-intent-\"])[class*=\"bp3-icon-\"]::before{\n      color:#a7b6c2; }\n    .bp3-dark .bp3-button:not([class*=\"bp3-intent-\"]) .bp3-icon, .bp3-dark .bp3-button:not([class*=\"bp3-intent-\"]) .bp3-icon-standard, .bp3-dark .bp3-button:not([class*=\"bp3-intent-\"]) .bp3-icon-large{\n      color:#a7b6c2; }\n  .bp3-dark .bp3-button[class*=\"bp3-intent-\"]{\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }\n    .bp3-dark .bp3-button[class*=\"bp3-intent-\"]:hover{\n      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);\n              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }\n    .bp3-dark .bp3-button[class*=\"bp3-intent-\"]:active, .bp3-dark .bp3-button[class*=\"bp3-intent-\"].bp3-active{\n      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }\n    .bp3-dark .bp3-button[class*=\"bp3-intent-\"]:disabled, .bp3-dark .bp3-button[class*=\"bp3-intent-\"].bp3-disabled{\n      background-image:none;\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:rgba(255, 255, 255, 0.3); }\n    .bp3-dark .bp3-button[class*=\"bp3-intent-\"] .bp3-button-spinner .bp3-spinner-head{\n      stroke:#8a9ba8; }\n  .bp3-button:disabled::before,\n  .bp3-button:disabled .bp3-icon, .bp3-button:disabled .bp3-icon-standard, .bp3-button:disabled .bp3-icon-large, .bp3-button.bp3-disabled::before,\n  .bp3-button.bp3-disabled .bp3-icon, .bp3-button.bp3-disabled .bp3-icon-standard, .bp3-button.bp3-disabled .bp3-icon-large, .bp3-button[class*=\"bp3-intent-\"]::before,\n  .bp3-button[class*=\"bp3-intent-\"] .bp3-icon, .bp3-button[class*=\"bp3-intent-\"] .bp3-icon-standard, .bp3-button[class*=\"bp3-intent-\"] .bp3-icon-large{\n    color:inherit !important; }\n  .bp3-button.bp3-minimal{\n    background:none;\n    -webkit-box-shadow:none;\n            box-shadow:none; }\n    .bp3-button.bp3-minimal:hover{\n      background:rgba(167, 182, 194, 0.3);\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:#182026;\n      text-decoration:none; }\n    .bp3-button.bp3-minimal:active, .bp3-button.bp3-minimal.bp3-active{\n      background:rgba(115, 134, 148, 0.3);\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:#182026; }\n    .bp3-button.bp3-minimal:disabled, .bp3-button.bp3-minimal:disabled:hover, .bp3-button.bp3-minimal.bp3-disabled, .bp3-button.bp3-minimal.bp3-disabled:hover{\n      background:none;\n      color:rgba(92, 112, 128, 0.6);\n      cursor:not-allowed; }\n      .bp3-button.bp3-minimal:disabled.bp3-active, .bp3-button.bp3-minimal:disabled:hover.bp3-active, .bp3-button.bp3-minimal.bp3-disabled.bp3-active, .bp3-button.bp3-minimal.bp3-disabled:hover.bp3-active{\n        background:rgba(115, 134, 148, 0.3); }\n    .bp3-dark .bp3-button.bp3-minimal{\n      background:none;\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:inherit; }\n      .bp3-dark .bp3-button.bp3-minimal:hover, .bp3-dark .bp3-button.bp3-minimal:active, .bp3-dark .bp3-button.bp3-minimal.bp3-active{\n        background:none;\n        -webkit-box-shadow:none;\n                box-shadow:none; }\n      .bp3-dark .bp3-button.bp3-minimal:hover{\n        background:rgba(138, 155, 168, 0.15); }\n      .bp3-dark .bp3-button.bp3-minimal:active, .bp3-dark .bp3-button.bp3-minimal.bp3-active{\n        background:rgba(138, 155, 168, 0.3);\n        color:#f5f8fa; }\n      .bp3-dark .bp3-button.bp3-minimal:disabled, .bp3-dark .bp3-button.bp3-minimal:disabled:hover, .bp3-dark .bp3-button.bp3-minimal.bp3-disabled, .bp3-dark .bp3-button.bp3-minimal.bp3-disabled:hover{\n        background:none;\n        color:rgba(167, 182, 194, 0.6);\n        cursor:not-allowed; }\n        .bp3-dark .bp3-button.bp3-minimal:disabled.bp3-active, .bp3-dark .bp3-button.bp3-minimal:disabled:hover.bp3-active, .bp3-dark .bp3-button.bp3-minimal.bp3-disabled.bp3-active, .bp3-dark .bp3-button.bp3-minimal.bp3-disabled:hover.bp3-active{\n          background:rgba(138, 155, 168, 0.3); }\n    .bp3-button.bp3-minimal.bp3-intent-primary{\n      color:#106ba3; }\n      .bp3-button.bp3-minimal.bp3-intent-primary:hover, .bp3-button.bp3-minimal.bp3-intent-primary:active, .bp3-button.bp3-minimal.bp3-intent-primary.bp3-active{\n        background:none;\n        -webkit-box-shadow:none;\n                box-shadow:none;\n        color:#106ba3; }\n      .bp3-button.bp3-minimal.bp3-intent-primary:hover{\n        background:rgba(19, 124, 189, 0.15);\n        color:#106ba3; }\n      .bp3-button.bp3-minimal.bp3-intent-primary:active, .bp3-button.bp3-minimal.bp3-intent-primary.bp3-active{\n        background:rgba(19, 124, 189, 0.3);\n        color:#106ba3; }\n      .bp3-button.bp3-minimal.bp3-intent-primary:disabled, .bp3-button.bp3-minimal.bp3-intent-primary.bp3-disabled{\n        background:none;\n        color:rgba(16, 107, 163, 0.5); }\n        .bp3-button.bp3-minimal.bp3-intent-primary:disabled.bp3-active, .bp3-button.bp3-minimal.bp3-intent-primary.bp3-disabled.bp3-active{\n          background:rgba(19, 124, 189, 0.3); }\n      .bp3-button.bp3-minimal.bp3-intent-primary .bp3-button-spinner .bp3-spinner-head{\n        stroke:#106ba3; }\n      .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary{\n        color:#48aff0; }\n        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary:hover{\n          background:rgba(19, 124, 189, 0.2);\n          color:#48aff0; }\n        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary:active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary.bp3-active{\n          background:rgba(19, 124, 189, 0.3);\n          color:#48aff0; }\n        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary:disabled, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary.bp3-disabled{\n          background:none;\n          color:rgba(72, 175, 240, 0.5); }\n          .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary:disabled.bp3-active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-primary.bp3-disabled.bp3-active{\n            background:rgba(19, 124, 189, 0.3); }\n    .bp3-button.bp3-minimal.bp3-intent-success{\n      color:#0d8050; }\n      .bp3-button.bp3-minimal.bp3-intent-success:hover, .bp3-button.bp3-minimal.bp3-intent-success:active, .bp3-button.bp3-minimal.bp3-intent-success.bp3-active{\n        background:none;\n        -webkit-box-shadow:none;\n                box-shadow:none;\n        color:#0d8050; }\n      .bp3-button.bp3-minimal.bp3-intent-success:hover{\n        background:rgba(15, 153, 96, 0.15);\n        color:#0d8050; }\n      .bp3-button.bp3-minimal.bp3-intent-success:active, .bp3-button.bp3-minimal.bp3-intent-success.bp3-active{\n        background:rgba(15, 153, 96, 0.3);\n        color:#0d8050; }\n      .bp3-button.bp3-minimal.bp3-intent-success:disabled, .bp3-button.bp3-minimal.bp3-intent-success.bp3-disabled{\n        background:none;\n        color:rgba(13, 128, 80, 0.5); }\n        .bp3-button.bp3-minimal.bp3-intent-success:disabled.bp3-active, .bp3-button.bp3-minimal.bp3-intent-success.bp3-disabled.bp3-active{\n          background:rgba(15, 153, 96, 0.3); }\n      .bp3-button.bp3-minimal.bp3-intent-success .bp3-button-spinner .bp3-spinner-head{\n        stroke:#0d8050; }\n      .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success{\n        color:#3dcc91; }\n        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success:hover{\n          background:rgba(15, 153, 96, 0.2);\n          color:#3dcc91; }\n        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success:active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success.bp3-active{\n          background:rgba(15, 153, 96, 0.3);\n          color:#3dcc91; }\n        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success:disabled, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success.bp3-disabled{\n          background:none;\n          color:rgba(61, 204, 145, 0.5); }\n          .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success:disabled.bp3-active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-success.bp3-disabled.bp3-active{\n            background:rgba(15, 153, 96, 0.3); }\n    .bp3-button.bp3-minimal.bp3-intent-warning{\n      color:#bf7326; }\n      .bp3-button.bp3-minimal.bp3-intent-warning:hover, .bp3-button.bp3-minimal.bp3-intent-warning:active, .bp3-button.bp3-minimal.bp3-intent-warning.bp3-active{\n        background:none;\n        -webkit-box-shadow:none;\n                box-shadow:none;\n        color:#bf7326; }\n      .bp3-button.bp3-minimal.bp3-intent-warning:hover{\n        background:rgba(217, 130, 43, 0.15);\n        color:#bf7326; }\n      .bp3-button.bp3-minimal.bp3-intent-warning:active, .bp3-button.bp3-minimal.bp3-intent-warning.bp3-active{\n        background:rgba(217, 130, 43, 0.3);\n        color:#bf7326; }\n      .bp3-button.bp3-minimal.bp3-intent-warning:disabled, .bp3-button.bp3-minimal.bp3-intent-warning.bp3-disabled{\n        background:none;\n        color:rgba(191, 115, 38, 0.5); }\n        .bp3-button.bp3-minimal.bp3-intent-warning:disabled.bp3-active, .bp3-button.bp3-minimal.bp3-intent-warning.bp3-disabled.bp3-active{\n          background:rgba(217, 130, 43, 0.3); }\n      .bp3-button.bp3-minimal.bp3-intent-warning .bp3-button-spinner .bp3-spinner-head{\n        stroke:#bf7326; }\n      .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning{\n        color:#ffb366; }\n        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning:hover{\n          background:rgba(217, 130, 43, 0.2);\n          color:#ffb366; }\n        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning:active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning.bp3-active{\n          background:rgba(217, 130, 43, 0.3);\n          color:#ffb366; }\n        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning:disabled, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning.bp3-disabled{\n          background:none;\n          color:rgba(255, 179, 102, 0.5); }\n          .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning:disabled.bp3-active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-warning.bp3-disabled.bp3-active{\n            background:rgba(217, 130, 43, 0.3); }\n    .bp3-button.bp3-minimal.bp3-intent-danger{\n      color:#c23030; }\n      .bp3-button.bp3-minimal.bp3-intent-danger:hover, .bp3-button.bp3-minimal.bp3-intent-danger:active, .bp3-button.bp3-minimal.bp3-intent-danger.bp3-active{\n        background:none;\n        -webkit-box-shadow:none;\n                box-shadow:none;\n        color:#c23030; }\n      .bp3-button.bp3-minimal.bp3-intent-danger:hover{\n        background:rgba(219, 55, 55, 0.15);\n        color:#c23030; }\n      .bp3-button.bp3-minimal.bp3-intent-danger:active, .bp3-button.bp3-minimal.bp3-intent-danger.bp3-active{\n        background:rgba(219, 55, 55, 0.3);\n        color:#c23030; }\n      .bp3-button.bp3-minimal.bp3-intent-danger:disabled, .bp3-button.bp3-minimal.bp3-intent-danger.bp3-disabled{\n        background:none;\n        color:rgba(194, 48, 48, 0.5); }\n        .bp3-button.bp3-minimal.bp3-intent-danger:disabled.bp3-active, .bp3-button.bp3-minimal.bp3-intent-danger.bp3-disabled.bp3-active{\n          background:rgba(219, 55, 55, 0.3); }\n      .bp3-button.bp3-minimal.bp3-intent-danger .bp3-button-spinner .bp3-spinner-head{\n        stroke:#c23030; }\n      .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger{\n        color:#ff7373; }\n        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger:hover{\n          background:rgba(219, 55, 55, 0.2);\n          color:#ff7373; }\n        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger:active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger.bp3-active{\n          background:rgba(219, 55, 55, 0.3);\n          color:#ff7373; }\n        .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger:disabled, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger.bp3-disabled{\n          background:none;\n          color:rgba(255, 115, 115, 0.5); }\n          .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger:disabled.bp3-active, .bp3-dark .bp3-button.bp3-minimal.bp3-intent-danger.bp3-disabled.bp3-active{\n            background:rgba(219, 55, 55, 0.3); }\n  .bp3-button.bp3-outlined{\n    background:none;\n    -webkit-box-shadow:none;\n            box-shadow:none;\n    border:1px solid rgba(24, 32, 38, 0.2);\n    -webkit-box-sizing:border-box;\n            box-sizing:border-box; }\n    .bp3-button.bp3-outlined:hover{\n      background:rgba(167, 182, 194, 0.3);\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:#182026;\n      text-decoration:none; }\n    .bp3-button.bp3-outlined:active, .bp3-button.bp3-outlined.bp3-active{\n      background:rgba(115, 134, 148, 0.3);\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:#182026; }\n    .bp3-button.bp3-outlined:disabled, .bp3-button.bp3-outlined:disabled:hover, .bp3-button.bp3-outlined.bp3-disabled, .bp3-button.bp3-outlined.bp3-disabled:hover{\n      background:none;\n      color:rgba(92, 112, 128, 0.6);\n      cursor:not-allowed; }\n      .bp3-button.bp3-outlined:disabled.bp3-active, .bp3-button.bp3-outlined:disabled:hover.bp3-active, .bp3-button.bp3-outlined.bp3-disabled.bp3-active, .bp3-button.bp3-outlined.bp3-disabled:hover.bp3-active{\n        background:rgba(115, 134, 148, 0.3); }\n    .bp3-dark .bp3-button.bp3-outlined{\n      background:none;\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:inherit; }\n      .bp3-dark .bp3-button.bp3-outlined:hover, .bp3-dark .bp3-button.bp3-outlined:active, .bp3-dark .bp3-button.bp3-outlined.bp3-active{\n        background:none;\n        -webkit-box-shadow:none;\n                box-shadow:none; }\n      .bp3-dark .bp3-button.bp3-outlined:hover{\n        background:rgba(138, 155, 168, 0.15); }\n      .bp3-dark .bp3-button.bp3-outlined:active, .bp3-dark .bp3-button.bp3-outlined.bp3-active{\n        background:rgba(138, 155, 168, 0.3);\n        color:#f5f8fa; }\n      .bp3-dark .bp3-button.bp3-outlined:disabled, .bp3-dark .bp3-button.bp3-outlined:disabled:hover, .bp3-dark .bp3-button.bp3-outlined.bp3-disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-disabled:hover{\n        background:none;\n        color:rgba(167, 182, 194, 0.6);\n        cursor:not-allowed; }\n        .bp3-dark .bp3-button.bp3-outlined:disabled.bp3-active, .bp3-dark .bp3-button.bp3-outlined:disabled:hover.bp3-active, .bp3-dark .bp3-button.bp3-outlined.bp3-disabled.bp3-active, .bp3-dark .bp3-button.bp3-outlined.bp3-disabled:hover.bp3-active{\n          background:rgba(138, 155, 168, 0.3); }\n    .bp3-button.bp3-outlined.bp3-intent-primary{\n      color:#106ba3; }\n      .bp3-button.bp3-outlined.bp3-intent-primary:hover, .bp3-button.bp3-outlined.bp3-intent-primary:active, .bp3-button.bp3-outlined.bp3-intent-primary.bp3-active{\n        background:none;\n        -webkit-box-shadow:none;\n                box-shadow:none;\n        color:#106ba3; }\n      .bp3-button.bp3-outlined.bp3-intent-primary:hover{\n        background:rgba(19, 124, 189, 0.15);\n        color:#106ba3; }\n      .bp3-button.bp3-outlined.bp3-intent-primary:active, .bp3-button.bp3-outlined.bp3-intent-primary.bp3-active{\n        background:rgba(19, 124, 189, 0.3);\n        color:#106ba3; }\n      .bp3-button.bp3-outlined.bp3-intent-primary:disabled, .bp3-button.bp3-outlined.bp3-intent-primary.bp3-disabled{\n        background:none;\n        color:rgba(16, 107, 163, 0.5); }\n        .bp3-button.bp3-outlined.bp3-intent-primary:disabled.bp3-active, .bp3-button.bp3-outlined.bp3-intent-primary.bp3-disabled.bp3-active{\n          background:rgba(19, 124, 189, 0.3); }\n      .bp3-button.bp3-outlined.bp3-intent-primary .bp3-button-spinner .bp3-spinner-head{\n        stroke:#106ba3; }\n      .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary{\n        color:#48aff0; }\n        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary:hover{\n          background:rgba(19, 124, 189, 0.2);\n          color:#48aff0; }\n        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary:active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary.bp3-active{\n          background:rgba(19, 124, 189, 0.3);\n          color:#48aff0; }\n        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary:disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary.bp3-disabled{\n          background:none;\n          color:rgba(72, 175, 240, 0.5); }\n          .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary:disabled.bp3-active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary.bp3-disabled.bp3-active{\n            background:rgba(19, 124, 189, 0.3); }\n    .bp3-button.bp3-outlined.bp3-intent-success{\n      color:#0d8050; }\n      .bp3-button.bp3-outlined.bp3-intent-success:hover, .bp3-button.bp3-outlined.bp3-intent-success:active, .bp3-button.bp3-outlined.bp3-intent-success.bp3-active{\n        background:none;\n        -webkit-box-shadow:none;\n                box-shadow:none;\n        color:#0d8050; }\n      .bp3-button.bp3-outlined.bp3-intent-success:hover{\n        background:rgba(15, 153, 96, 0.15);\n        color:#0d8050; }\n      .bp3-button.bp3-outlined.bp3-intent-success:active, .bp3-button.bp3-outlined.bp3-intent-success.bp3-active{\n        background:rgba(15, 153, 96, 0.3);\n        color:#0d8050; }\n      .bp3-button.bp3-outlined.bp3-intent-success:disabled, .bp3-button.bp3-outlined.bp3-intent-success.bp3-disabled{\n        background:none;\n        color:rgba(13, 128, 80, 0.5); }\n        .bp3-button.bp3-outlined.bp3-intent-success:disabled.bp3-active, .bp3-button.bp3-outlined.bp3-intent-success.bp3-disabled.bp3-active{\n          background:rgba(15, 153, 96, 0.3); }\n      .bp3-button.bp3-outlined.bp3-intent-success .bp3-button-spinner .bp3-spinner-head{\n        stroke:#0d8050; }\n      .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success{\n        color:#3dcc91; }\n        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success:hover{\n          background:rgba(15, 153, 96, 0.2);\n          color:#3dcc91; }\n        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success:active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success.bp3-active{\n          background:rgba(15, 153, 96, 0.3);\n          color:#3dcc91; }\n        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success:disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success.bp3-disabled{\n          background:none;\n          color:rgba(61, 204, 145, 0.5); }\n          .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success:disabled.bp3-active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success.bp3-disabled.bp3-active{\n            background:rgba(15, 153, 96, 0.3); }\n    .bp3-button.bp3-outlined.bp3-intent-warning{\n      color:#bf7326; }\n      .bp3-button.bp3-outlined.bp3-intent-warning:hover, .bp3-button.bp3-outlined.bp3-intent-warning:active, .bp3-button.bp3-outlined.bp3-intent-warning.bp3-active{\n        background:none;\n        -webkit-box-shadow:none;\n                box-shadow:none;\n        color:#bf7326; }\n      .bp3-button.bp3-outlined.bp3-intent-warning:hover{\n        background:rgba(217, 130, 43, 0.15);\n        color:#bf7326; }\n      .bp3-button.bp3-outlined.bp3-intent-warning:active, .bp3-button.bp3-outlined.bp3-intent-warning.bp3-active{\n        background:rgba(217, 130, 43, 0.3);\n        color:#bf7326; }\n      .bp3-button.bp3-outlined.bp3-intent-warning:disabled, .bp3-button.bp3-outlined.bp3-intent-warning.bp3-disabled{\n        background:none;\n        color:rgba(191, 115, 38, 0.5); }\n        .bp3-button.bp3-outlined.bp3-intent-warning:disabled.bp3-active, .bp3-button.bp3-outlined.bp3-intent-warning.bp3-disabled.bp3-active{\n          background:rgba(217, 130, 43, 0.3); }\n      .bp3-button.bp3-outlined.bp3-intent-warning .bp3-button-spinner .bp3-spinner-head{\n        stroke:#bf7326; }\n      .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning{\n        color:#ffb366; }\n        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning:hover{\n          background:rgba(217, 130, 43, 0.2);\n          color:#ffb366; }\n        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning:active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning.bp3-active{\n          background:rgba(217, 130, 43, 0.3);\n          color:#ffb366; }\n        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning:disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning.bp3-disabled{\n          background:none;\n          color:rgba(255, 179, 102, 0.5); }\n          .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning:disabled.bp3-active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning.bp3-disabled.bp3-active{\n            background:rgba(217, 130, 43, 0.3); }\n    .bp3-button.bp3-outlined.bp3-intent-danger{\n      color:#c23030; }\n      .bp3-button.bp3-outlined.bp3-intent-danger:hover, .bp3-button.bp3-outlined.bp3-intent-danger:active, .bp3-button.bp3-outlined.bp3-intent-danger.bp3-active{\n        background:none;\n        -webkit-box-shadow:none;\n                box-shadow:none;\n        color:#c23030; }\n      .bp3-button.bp3-outlined.bp3-intent-danger:hover{\n        background:rgba(219, 55, 55, 0.15);\n        color:#c23030; }\n      .bp3-button.bp3-outlined.bp3-intent-danger:active, .bp3-button.bp3-outlined.bp3-intent-danger.bp3-active{\n        background:rgba(219, 55, 55, 0.3);\n        color:#c23030; }\n      .bp3-button.bp3-outlined.bp3-intent-danger:disabled, .bp3-button.bp3-outlined.bp3-intent-danger.bp3-disabled{\n        background:none;\n        color:rgba(194, 48, 48, 0.5); }\n        .bp3-button.bp3-outlined.bp3-intent-danger:disabled.bp3-active, .bp3-button.bp3-outlined.bp3-intent-danger.bp3-disabled.bp3-active{\n          background:rgba(219, 55, 55, 0.3); }\n      .bp3-button.bp3-outlined.bp3-intent-danger .bp3-button-spinner .bp3-spinner-head{\n        stroke:#c23030; }\n      .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger{\n        color:#ff7373; }\n        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger:hover{\n          background:rgba(219, 55, 55, 0.2);\n          color:#ff7373; }\n        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger:active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger.bp3-active{\n          background:rgba(219, 55, 55, 0.3);\n          color:#ff7373; }\n        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger:disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger.bp3-disabled{\n          background:none;\n          color:rgba(255, 115, 115, 0.5); }\n          .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger:disabled.bp3-active, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger.bp3-disabled.bp3-active{\n            background:rgba(219, 55, 55, 0.3); }\n    .bp3-button.bp3-outlined:disabled, .bp3-button.bp3-outlined.bp3-disabled, .bp3-button.bp3-outlined:disabled:hover, .bp3-button.bp3-outlined.bp3-disabled:hover{\n      border-color:rgba(92, 112, 128, 0.1); }\n    .bp3-dark .bp3-button.bp3-outlined{\n      border-color:rgba(255, 255, 255, 0.4); }\n      .bp3-dark .bp3-button.bp3-outlined:disabled, .bp3-dark .bp3-button.bp3-outlined:disabled:hover, .bp3-dark .bp3-button.bp3-outlined.bp3-disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-disabled:hover{\n        border-color:rgba(255, 255, 255, 0.2); }\n    .bp3-button.bp3-outlined.bp3-intent-primary{\n      border-color:rgba(16, 107, 163, 0.6); }\n      .bp3-button.bp3-outlined.bp3-intent-primary:disabled, .bp3-button.bp3-outlined.bp3-intent-primary.bp3-disabled{\n        border-color:rgba(16, 107, 163, 0.2); }\n      .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary{\n        border-color:rgba(72, 175, 240, 0.6); }\n        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary:disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-primary.bp3-disabled{\n          border-color:rgba(72, 175, 240, 0.2); }\n    .bp3-button.bp3-outlined.bp3-intent-success{\n      border-color:rgba(13, 128, 80, 0.6); }\n      .bp3-button.bp3-outlined.bp3-intent-success:disabled, .bp3-button.bp3-outlined.bp3-intent-success.bp3-disabled{\n        border-color:rgba(13, 128, 80, 0.2); }\n      .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success{\n        border-color:rgba(61, 204, 145, 0.6); }\n        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success:disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-success.bp3-disabled{\n          border-color:rgba(61, 204, 145, 0.2); }\n    .bp3-button.bp3-outlined.bp3-intent-warning{\n      border-color:rgba(191, 115, 38, 0.6); }\n      .bp3-button.bp3-outlined.bp3-intent-warning:disabled, .bp3-button.bp3-outlined.bp3-intent-warning.bp3-disabled{\n        border-color:rgba(191, 115, 38, 0.2); }\n      .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning{\n        border-color:rgba(255, 179, 102, 0.6); }\n        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning:disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-warning.bp3-disabled{\n          border-color:rgba(255, 179, 102, 0.2); }\n    .bp3-button.bp3-outlined.bp3-intent-danger{\n      border-color:rgba(194, 48, 48, 0.6); }\n      .bp3-button.bp3-outlined.bp3-intent-danger:disabled, .bp3-button.bp3-outlined.bp3-intent-danger.bp3-disabled{\n        border-color:rgba(194, 48, 48, 0.2); }\n      .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger{\n        border-color:rgba(255, 115, 115, 0.6); }\n        .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger:disabled, .bp3-dark .bp3-button.bp3-outlined.bp3-intent-danger.bp3-disabled{\n          border-color:rgba(255, 115, 115, 0.2); }\n\na.bp3-button{\n  text-align:center;\n  text-decoration:none;\n  -webkit-transition:none;\n  transition:none; }\n  a.bp3-button, a.bp3-button:hover, a.bp3-button:active{\n    color:#182026; }\n  a.bp3-button.bp3-disabled{\n    color:rgba(92, 112, 128, 0.6); }\n\n.bp3-button-text{\n  -webkit-box-flex:0;\n      -ms-flex:0 1 auto;\n          flex:0 1 auto; }\n\n.bp3-button.bp3-align-left .bp3-button-text, .bp3-button.bp3-align-right .bp3-button-text,\n.bp3-button-group.bp3-align-left .bp3-button-text,\n.bp3-button-group.bp3-align-right .bp3-button-text{\n  -webkit-box-flex:1;\n      -ms-flex:1 1 auto;\n          flex:1 1 auto; }\n.bp3-button-group{\n  display:-webkit-inline-box;\n  display:-ms-inline-flexbox;\n  display:inline-flex; }\n  .bp3-button-group .bp3-button{\n    -webkit-box-flex:0;\n        -ms-flex:0 0 auto;\n            flex:0 0 auto;\n    position:relative;\n    z-index:4; }\n    .bp3-button-group .bp3-button:focus{\n      z-index:5; }\n    .bp3-button-group .bp3-button:hover{\n      z-index:6; }\n    .bp3-button-group .bp3-button:active, .bp3-button-group .bp3-button.bp3-active{\n      z-index:7; }\n    .bp3-button-group .bp3-button:disabled, .bp3-button-group .bp3-button.bp3-disabled{\n      z-index:3; }\n    .bp3-button-group .bp3-button[class*=\"bp3-intent-\"]{\n      z-index:9; }\n      .bp3-button-group .bp3-button[class*=\"bp3-intent-\"]:focus{\n        z-index:10; }\n      .bp3-button-group .bp3-button[class*=\"bp3-intent-\"]:hover{\n        z-index:11; }\n      .bp3-button-group .bp3-button[class*=\"bp3-intent-\"]:active, .bp3-button-group .bp3-button[class*=\"bp3-intent-\"].bp3-active{\n        z-index:12; }\n      .bp3-button-group .bp3-button[class*=\"bp3-intent-\"]:disabled, .bp3-button-group .bp3-button[class*=\"bp3-intent-\"].bp3-disabled{\n        z-index:8; }\n  .bp3-button-group:not(.bp3-minimal) > .bp3-popover-wrapper:not(:first-child) .bp3-button,\n  .bp3-button-group:not(.bp3-minimal) > .bp3-button:not(:first-child){\n    border-bottom-left-radius:0;\n    border-top-left-radius:0; }\n  .bp3-button-group:not(.bp3-minimal) > .bp3-popover-wrapper:not(:last-child) .bp3-button,\n  .bp3-button-group:not(.bp3-minimal) > .bp3-button:not(:last-child){\n    border-bottom-right-radius:0;\n    border-top-right-radius:0;\n    margin-right:-1px; }\n  .bp3-button-group.bp3-minimal .bp3-button{\n    background:none;\n    -webkit-box-shadow:none;\n            box-shadow:none; }\n    .bp3-button-group.bp3-minimal .bp3-button:hover{\n      background:rgba(167, 182, 194, 0.3);\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:#182026;\n      text-decoration:none; }\n    .bp3-button-group.bp3-minimal .bp3-button:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-active{\n      background:rgba(115, 134, 148, 0.3);\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:#182026; }\n    .bp3-button-group.bp3-minimal .bp3-button:disabled, .bp3-button-group.bp3-minimal .bp3-button:disabled:hover, .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled, .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled:hover{\n      background:none;\n      color:rgba(92, 112, 128, 0.6);\n      cursor:not-allowed; }\n      .bp3-button-group.bp3-minimal .bp3-button:disabled.bp3-active, .bp3-button-group.bp3-minimal .bp3-button:disabled:hover.bp3-active, .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled.bp3-active, .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled:hover.bp3-active{\n        background:rgba(115, 134, 148, 0.3); }\n    .bp3-dark .bp3-button-group.bp3-minimal .bp3-button{\n      background:none;\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:inherit; }\n      .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:hover, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-active{\n        background:none;\n        -webkit-box-shadow:none;\n                box-shadow:none; }\n      .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:hover{\n        background:rgba(138, 155, 168, 0.15); }\n      .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-active{\n        background:rgba(138, 155, 168, 0.3);\n        color:#f5f8fa; }\n      .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:disabled, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:disabled:hover, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled:hover{\n        background:none;\n        color:rgba(167, 182, 194, 0.6);\n        cursor:not-allowed; }\n        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:disabled.bp3-active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button:disabled:hover.bp3-active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled.bp3-active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-disabled:hover.bp3-active{\n          background:rgba(138, 155, 168, 0.3); }\n    .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary{\n      color:#106ba3; }\n      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:hover, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary.bp3-active{\n        background:none;\n        -webkit-box-shadow:none;\n                box-shadow:none;\n        color:#106ba3; }\n      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:hover{\n        background:rgba(19, 124, 189, 0.15);\n        color:#106ba3; }\n      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary.bp3-active{\n        background:rgba(19, 124, 189, 0.3);\n        color:#106ba3; }\n      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:disabled, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary.bp3-disabled{\n        background:none;\n        color:rgba(16, 107, 163, 0.5); }\n        .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:disabled.bp3-active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary.bp3-disabled.bp3-active{\n          background:rgba(19, 124, 189, 0.3); }\n      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary .bp3-button-spinner .bp3-spinner-head{\n        stroke:#106ba3; }\n      .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary{\n        color:#48aff0; }\n        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:hover{\n          background:rgba(19, 124, 189, 0.2);\n          color:#48aff0; }\n        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary.bp3-active{\n          background:rgba(19, 124, 189, 0.3);\n          color:#48aff0; }\n        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:disabled, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary.bp3-disabled{\n          background:none;\n          color:rgba(72, 175, 240, 0.5); }\n          .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary:disabled.bp3-active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-primary.bp3-disabled.bp3-active{\n            background:rgba(19, 124, 189, 0.3); }\n    .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success{\n      color:#0d8050; }\n      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:hover, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success.bp3-active{\n        background:none;\n        -webkit-box-shadow:none;\n                box-shadow:none;\n        color:#0d8050; }\n      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:hover{\n        background:rgba(15, 153, 96, 0.15);\n        color:#0d8050; }\n      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success.bp3-active{\n        background:rgba(15, 153, 96, 0.3);\n        color:#0d8050; }\n      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:disabled, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success.bp3-disabled{\n        background:none;\n        color:rgba(13, 128, 80, 0.5); }\n        .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:disabled.bp3-active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success.bp3-disabled.bp3-active{\n          background:rgba(15, 153, 96, 0.3); }\n      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success .bp3-button-spinner .bp3-spinner-head{\n        stroke:#0d8050; }\n      .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success{\n        color:#3dcc91; }\n        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:hover{\n          background:rgba(15, 153, 96, 0.2);\n          color:#3dcc91; }\n        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success.bp3-active{\n          background:rgba(15, 153, 96, 0.3);\n          color:#3dcc91; }\n        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:disabled, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success.bp3-disabled{\n          background:none;\n          color:rgba(61, 204, 145, 0.5); }\n          .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success:disabled.bp3-active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-success.bp3-disabled.bp3-active{\n            background:rgba(15, 153, 96, 0.3); }\n    .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning{\n      color:#bf7326; }\n      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:hover, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning.bp3-active{\n        background:none;\n        -webkit-box-shadow:none;\n                box-shadow:none;\n        color:#bf7326; }\n      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:hover{\n        background:rgba(217, 130, 43, 0.15);\n        color:#bf7326; }\n      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning.bp3-active{\n        background:rgba(217, 130, 43, 0.3);\n        color:#bf7326; }\n      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:disabled, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning.bp3-disabled{\n        background:none;\n        color:rgba(191, 115, 38, 0.5); }\n        .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:disabled.bp3-active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning.bp3-disabled.bp3-active{\n          background:rgba(217, 130, 43, 0.3); }\n      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning .bp3-button-spinner .bp3-spinner-head{\n        stroke:#bf7326; }\n      .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning{\n        color:#ffb366; }\n        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:hover{\n          background:rgba(217, 130, 43, 0.2);\n          color:#ffb366; }\n        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning.bp3-active{\n          background:rgba(217, 130, 43, 0.3);\n          color:#ffb366; }\n        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:disabled, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning.bp3-disabled{\n          background:none;\n          color:rgba(255, 179, 102, 0.5); }\n          .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning:disabled.bp3-active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-warning.bp3-disabled.bp3-active{\n            background:rgba(217, 130, 43, 0.3); }\n    .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger{\n      color:#c23030; }\n      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:hover, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger.bp3-active{\n        background:none;\n        -webkit-box-shadow:none;\n                box-shadow:none;\n        color:#c23030; }\n      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:hover{\n        background:rgba(219, 55, 55, 0.15);\n        color:#c23030; }\n      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger.bp3-active{\n        background:rgba(219, 55, 55, 0.3);\n        color:#c23030; }\n      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:disabled, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger.bp3-disabled{\n        background:none;\n        color:rgba(194, 48, 48, 0.5); }\n        .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:disabled.bp3-active, .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger.bp3-disabled.bp3-active{\n          background:rgba(219, 55, 55, 0.3); }\n      .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger .bp3-button-spinner .bp3-spinner-head{\n        stroke:#c23030; }\n      .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger{\n        color:#ff7373; }\n        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:hover{\n          background:rgba(219, 55, 55, 0.2);\n          color:#ff7373; }\n        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger.bp3-active{\n          background:rgba(219, 55, 55, 0.3);\n          color:#ff7373; }\n        .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:disabled, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger.bp3-disabled{\n          background:none;\n          color:rgba(255, 115, 115, 0.5); }\n          .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger:disabled.bp3-active, .bp3-dark .bp3-button-group.bp3-minimal .bp3-button.bp3-intent-danger.bp3-disabled.bp3-active{\n            background:rgba(219, 55, 55, 0.3); }\n  .bp3-button-group .bp3-popover-wrapper,\n  .bp3-button-group .bp3-popover-target{\n    display:-webkit-box;\n    display:-ms-flexbox;\n    display:flex;\n    -webkit-box-flex:1;\n        -ms-flex:1 1 auto;\n            flex:1 1 auto; }\n  .bp3-button-group.bp3-fill{\n    display:-webkit-box;\n    display:-ms-flexbox;\n    display:flex;\n    width:100%; }\n  .bp3-button-group .bp3-button.bp3-fill,\n  .bp3-button-group.bp3-fill .bp3-button:not(.bp3-fixed){\n    -webkit-box-flex:1;\n        -ms-flex:1 1 auto;\n            flex:1 1 auto; }\n  .bp3-button-group.bp3-vertical{\n    -webkit-box-align:stretch;\n        -ms-flex-align:stretch;\n            align-items:stretch;\n    -webkit-box-orient:vertical;\n    -webkit-box-direction:normal;\n        -ms-flex-direction:column;\n            flex-direction:column;\n    vertical-align:top; }\n    .bp3-button-group.bp3-vertical.bp3-fill{\n      height:100%;\n      width:unset; }\n    .bp3-button-group.bp3-vertical .bp3-button{\n      margin-right:0 !important;\n      width:100%; }\n    .bp3-button-group.bp3-vertical:not(.bp3-minimal) > .bp3-popover-wrapper:first-child .bp3-button,\n    .bp3-button-group.bp3-vertical:not(.bp3-minimal) > .bp3-button:first-child{\n      border-radius:3px 3px 0 0; }\n    .bp3-button-group.bp3-vertical:not(.bp3-minimal) > .bp3-popover-wrapper:last-child .bp3-button,\n    .bp3-button-group.bp3-vertical:not(.bp3-minimal) > .bp3-button:last-child{\n      border-radius:0 0 3px 3px; }\n    .bp3-button-group.bp3-vertical:not(.bp3-minimal) > .bp3-popover-wrapper:not(:last-child) .bp3-button,\n    .bp3-button-group.bp3-vertical:not(.bp3-minimal) > .bp3-button:not(:last-child){\n      margin-bottom:-1px; }\n  .bp3-button-group.bp3-align-left .bp3-button{\n    text-align:left; }\n  .bp3-dark .bp3-button-group:not(.bp3-minimal) > .bp3-popover-wrapper:not(:last-child) .bp3-button,\n  .bp3-dark .bp3-button-group:not(.bp3-minimal) > .bp3-button:not(:last-child){\n    margin-right:1px; }\n  .bp3-dark .bp3-button-group.bp3-vertical > .bp3-popover-wrapper:not(:last-child) .bp3-button,\n  .bp3-dark .bp3-button-group.bp3-vertical > .bp3-button:not(:last-child){\n    margin-bottom:1px; }\n.bp3-callout{\n  font-size:14px;\n  line-height:1.5;\n  background-color:rgba(138, 155, 168, 0.15);\n  border-radius:3px;\n  padding:10px 12px 9px;\n  position:relative;\n  width:100%; }\n  .bp3-callout[class*=\"bp3-icon-\"]{\n    padding-left:40px; }\n    .bp3-callout[class*=\"bp3-icon-\"]::before{\n      font-family:\"Icons20\", sans-serif;\n      font-size:20px;\n      font-style:normal;\n      font-weight:400;\n      line-height:1;\n      -moz-osx-font-smoothing:grayscale;\n      -webkit-font-smoothing:antialiased;\n      color:#5c7080;\n      left:10px;\n      position:absolute;\n      top:10px; }\n  .bp3-callout.bp3-callout-icon{\n    padding-left:40px; }\n    .bp3-callout.bp3-callout-icon > .bp3-icon:first-child{\n      color:#5c7080;\n      left:10px;\n      position:absolute;\n      top:10px; }\n  .bp3-callout .bp3-heading{\n    line-height:20px;\n    margin-bottom:5px;\n    margin-top:0; }\n    .bp3-callout .bp3-heading:last-child{\n      margin-bottom:0; }\n  .bp3-dark .bp3-callout{\n    background-color:rgba(138, 155, 168, 0.2); }\n    .bp3-dark .bp3-callout[class*=\"bp3-icon-\"]::before{\n      color:#a7b6c2; }\n  .bp3-callout.bp3-intent-primary{\n    background-color:rgba(19, 124, 189, 0.15); }\n    .bp3-callout.bp3-intent-primary[class*=\"bp3-icon-\"]::before,\n    .bp3-callout.bp3-intent-primary > .bp3-icon:first-child,\n    .bp3-callout.bp3-intent-primary .bp3-heading{\n      color:#106ba3; }\n    .bp3-dark .bp3-callout.bp3-intent-primary{\n      background-color:rgba(19, 124, 189, 0.25); }\n      .bp3-dark .bp3-callout.bp3-intent-primary[class*=\"bp3-icon-\"]::before,\n      .bp3-dark .bp3-callout.bp3-intent-primary > .bp3-icon:first-child,\n      .bp3-dark .bp3-callout.bp3-intent-primary .bp3-heading{\n        color:#48aff0; }\n  .bp3-callout.bp3-intent-success{\n    background-color:rgba(15, 153, 96, 0.15); }\n    .bp3-callout.bp3-intent-success[class*=\"bp3-icon-\"]::before,\n    .bp3-callout.bp3-intent-success > .bp3-icon:first-child,\n    .bp3-callout.bp3-intent-success .bp3-heading{\n      color:#0d8050; }\n    .bp3-dark .bp3-callout.bp3-intent-success{\n      background-color:rgba(15, 153, 96, 0.25); }\n      .bp3-dark .bp3-callout.bp3-intent-success[class*=\"bp3-icon-\"]::before,\n      .bp3-dark .bp3-callout.bp3-intent-success > .bp3-icon:first-child,\n      .bp3-dark .bp3-callout.bp3-intent-success .bp3-heading{\n        color:#3dcc91; }\n  .bp3-callout.bp3-intent-warning{\n    background-color:rgba(217, 130, 43, 0.15); }\n    .bp3-callout.bp3-intent-warning[class*=\"bp3-icon-\"]::before,\n    .bp3-callout.bp3-intent-warning > .bp3-icon:first-child,\n    .bp3-callout.bp3-intent-warning .bp3-heading{\n      color:#bf7326; }\n    .bp3-dark .bp3-callout.bp3-intent-warning{\n      background-color:rgba(217, 130, 43, 0.25); }\n      .bp3-dark .bp3-callout.bp3-intent-warning[class*=\"bp3-icon-\"]::before,\n      .bp3-dark .bp3-callout.bp3-intent-warning > .bp3-icon:first-child,\n      .bp3-dark .bp3-callout.bp3-intent-warning .bp3-heading{\n        color:#ffb366; }\n  .bp3-callout.bp3-intent-danger{\n    background-color:rgba(219, 55, 55, 0.15); }\n    .bp3-callout.bp3-intent-danger[class*=\"bp3-icon-\"]::before,\n    .bp3-callout.bp3-intent-danger > .bp3-icon:first-child,\n    .bp3-callout.bp3-intent-danger .bp3-heading{\n      color:#c23030; }\n    .bp3-dark .bp3-callout.bp3-intent-danger{\n      background-color:rgba(219, 55, 55, 0.25); }\n      .bp3-dark .bp3-callout.bp3-intent-danger[class*=\"bp3-icon-\"]::before,\n      .bp3-dark .bp3-callout.bp3-intent-danger > .bp3-icon:first-child,\n      .bp3-dark .bp3-callout.bp3-intent-danger .bp3-heading{\n        color:#ff7373; }\n  .bp3-running-text .bp3-callout{\n    margin:20px 0; }\n.bp3-card{\n  background-color:#ffffff;\n  border-radius:3px;\n  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.15), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0);\n          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.15), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0);\n  padding:20px;\n  -webkit-transition:-webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 200ms cubic-bezier(0.4, 1, 0.75, 0.9);\n  transition:-webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 200ms cubic-bezier(0.4, 1, 0.75, 0.9);\n  transition:transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9), box-shadow 200ms cubic-bezier(0.4, 1, 0.75, 0.9);\n  transition:transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9), box-shadow 200ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 200ms cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-card.bp3-dark,\n  .bp3-dark .bp3-card{\n    background-color:#30404d;\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0); }\n\n.bp3-elevation-0{\n  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.15), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0);\n          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.15), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0); }\n  .bp3-elevation-0.bp3-dark,\n  .bp3-dark .bp3-elevation-0{\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), 0 0 0 rgba(16, 22, 26, 0), 0 0 0 rgba(16, 22, 26, 0); }\n\n.bp3-elevation-1{\n  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.2);\n          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.2); }\n  .bp3-elevation-1.bp3-dark,\n  .bp3-dark .bp3-elevation-1{\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4); }\n\n.bp3-elevation-2{\n  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 1px 1px rgba(16, 22, 26, 0.2), 0 2px 6px rgba(16, 22, 26, 0.2);\n          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 1px 1px rgba(16, 22, 26, 0.2), 0 2px 6px rgba(16, 22, 26, 0.2); }\n  .bp3-elevation-2.bp3-dark,\n  .bp3-dark .bp3-elevation-2{\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.4), 0 2px 6px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.4), 0 2px 6px rgba(16, 22, 26, 0.4); }\n\n.bp3-elevation-3{\n  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);\n          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2); }\n  .bp3-elevation-3.bp3-dark,\n  .bp3-dark .bp3-elevation-3{\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4); }\n\n.bp3-elevation-4{\n  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);\n          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2); }\n  .bp3-elevation-4.bp3-dark,\n  .bp3-dark .bp3-elevation-4{\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4); }\n\n.bp3-card.bp3-interactive:hover{\n  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);\n          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);\n  cursor:pointer; }\n  .bp3-card.bp3-interactive:hover.bp3-dark,\n  .bp3-dark .bp3-card.bp3-interactive:hover{\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4); }\n\n.bp3-card.bp3-interactive:active{\n  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.2);\n          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.2);\n  opacity:0.9;\n  -webkit-transition-duration:0;\n          transition-duration:0; }\n  .bp3-card.bp3-interactive:active.bp3-dark,\n  .bp3-dark .bp3-card.bp3-interactive:active{\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4); }\n\n.bp3-collapse{\n  height:0;\n  overflow-y:hidden;\n  -webkit-transition:height 200ms cubic-bezier(0.4, 1, 0.75, 0.9);\n  transition:height 200ms cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-collapse .bp3-collapse-body{\n    -webkit-transition:-webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9);\n    transition:-webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9);\n    transition:transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9);\n    transition:transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9); }\n    .bp3-collapse .bp3-collapse-body[aria-hidden=\"true\"]{\n      display:none; }\n\n.bp3-context-menu .bp3-popover-target{\n  display:block; }\n\n.bp3-context-menu-popover-target{\n  position:fixed; }\n\n.bp3-divider{\n  border-bottom:1px solid rgba(16, 22, 26, 0.15);\n  border-right:1px solid rgba(16, 22, 26, 0.15);\n  margin:5px; }\n  .bp3-dark .bp3-divider{\n    border-color:rgba(16, 22, 26, 0.4); }\n.bp3-dialog-container{\n  opacity:1;\n  -webkit-transform:scale(1);\n          transform:scale(1);\n  -webkit-box-align:center;\n      -ms-flex-align:center;\n          align-items:center;\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -webkit-box-pack:center;\n      -ms-flex-pack:center;\n          justify-content:center;\n  min-height:100%;\n  pointer-events:none;\n  -webkit-user-select:none;\n     -moz-user-select:none;\n      -ms-user-select:none;\n          user-select:none;\n  width:100%; }\n  .bp3-dialog-container.bp3-overlay-enter > .bp3-dialog, .bp3-dialog-container.bp3-overlay-appear > .bp3-dialog{\n    opacity:0;\n    -webkit-transform:scale(0.5);\n            transform:scale(0.5); }\n  .bp3-dialog-container.bp3-overlay-enter-active > .bp3-dialog, .bp3-dialog-container.bp3-overlay-appear-active > .bp3-dialog{\n    opacity:1;\n    -webkit-transform:scale(1);\n            transform:scale(1);\n    -webkit-transition-delay:0;\n            transition-delay:0;\n    -webkit-transition-duration:300ms;\n            transition-duration:300ms;\n    -webkit-transition-property:opacity, -webkit-transform;\n    transition-property:opacity, -webkit-transform;\n    transition-property:opacity, transform;\n    transition-property:opacity, transform, -webkit-transform;\n    -webkit-transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);\n            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11); }\n  .bp3-dialog-container.bp3-overlay-exit > .bp3-dialog{\n    opacity:1;\n    -webkit-transform:scale(1);\n            transform:scale(1); }\n  .bp3-dialog-container.bp3-overlay-exit-active > .bp3-dialog{\n    opacity:0;\n    -webkit-transform:scale(0.5);\n            transform:scale(0.5);\n    -webkit-transition-delay:0;\n            transition-delay:0;\n    -webkit-transition-duration:300ms;\n            transition-duration:300ms;\n    -webkit-transition-property:opacity, -webkit-transform;\n    transition-property:opacity, -webkit-transform;\n    transition-property:opacity, transform;\n    transition-property:opacity, transform, -webkit-transform;\n    -webkit-transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);\n            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11); }\n\n.bp3-dialog{\n  background:#ebf1f5;\n  border-radius:6px;\n  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);\n          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -webkit-box-orient:vertical;\n  -webkit-box-direction:normal;\n      -ms-flex-direction:column;\n          flex-direction:column;\n  margin:30px 0;\n  padding-bottom:20px;\n  pointer-events:all;\n  -webkit-user-select:text;\n     -moz-user-select:text;\n      -ms-user-select:text;\n          user-select:text;\n  width:500px; }\n  .bp3-dialog:focus{\n    outline:0; }\n  .bp3-dialog.bp3-dark,\n  .bp3-dark .bp3-dialog{\n    background:#293742;\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4);\n    color:#f5f8fa; }\n\n.bp3-dialog-header{\n  -webkit-box-align:center;\n      -ms-flex-align:center;\n          align-items:center;\n  background:#ffffff;\n  border-radius:6px 6px 0 0;\n  -webkit-box-shadow:0 1px 0 rgba(16, 22, 26, 0.15);\n          box-shadow:0 1px 0 rgba(16, 22, 26, 0.15);\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -webkit-box-flex:0;\n      -ms-flex:0 0 auto;\n          flex:0 0 auto;\n  min-height:40px;\n  padding-left:20px;\n  padding-right:5px;\n  z-index:30; }\n  .bp3-dialog-header .bp3-icon-large,\n  .bp3-dialog-header .bp3-icon{\n    color:#5c7080;\n    -webkit-box-flex:0;\n        -ms-flex:0 0 auto;\n            flex:0 0 auto;\n    margin-right:10px; }\n  .bp3-dialog-header .bp3-heading{\n    overflow:hidden;\n    text-overflow:ellipsis;\n    white-space:nowrap;\n    word-wrap:normal;\n    -webkit-box-flex:1;\n        -ms-flex:1 1 auto;\n            flex:1 1 auto;\n    line-height:inherit;\n    margin:0; }\n    .bp3-dialog-header .bp3-heading:last-child{\n      margin-right:20px; }\n  .bp3-dark .bp3-dialog-header{\n    background:#30404d;\n    -webkit-box-shadow:0 1px 0 rgba(16, 22, 26, 0.4);\n            box-shadow:0 1px 0 rgba(16, 22, 26, 0.4); }\n    .bp3-dark .bp3-dialog-header .bp3-icon-large,\n    .bp3-dark .bp3-dialog-header .bp3-icon{\n      color:#a7b6c2; }\n\n.bp3-dialog-body{\n  -webkit-box-flex:1;\n      -ms-flex:1 1 auto;\n          flex:1 1 auto;\n  line-height:18px;\n  margin:20px; }\n\n.bp3-dialog-footer{\n  -webkit-box-flex:0;\n      -ms-flex:0 0 auto;\n          flex:0 0 auto;\n  margin:0 20px; }\n\n.bp3-dialog-footer-actions{\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -webkit-box-pack:end;\n      -ms-flex-pack:end;\n          justify-content:flex-end; }\n  .bp3-dialog-footer-actions .bp3-button{\n    margin-left:10px; }\n.bp3-multistep-dialog-panels{\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex; }\n\n.bp3-multistep-dialog-left-panel{\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -webkit-box-flex:1;\n      -ms-flex:1;\n          flex:1;\n  -webkit-box-orient:vertical;\n  -webkit-box-direction:normal;\n      -ms-flex-direction:column;\n          flex-direction:column; }\n  .bp3-dark .bp3-multistep-dialog-left-panel{\n    background:#202b33; }\n\n.bp3-multistep-dialog-right-panel{\n  background-color:#f5f8fa;\n  border-left:1px solid rgba(16, 22, 26, 0.15);\n  border-radius:0 0 6px 0;\n  -webkit-box-flex:3;\n      -ms-flex:3;\n          flex:3;\n  min-width:0; }\n  .bp3-dark .bp3-multistep-dialog-right-panel{\n    background-color:#293742;\n    border-left:1px solid rgba(16, 22, 26, 0.4); }\n\n.bp3-multistep-dialog-footer{\n  background-color:#ffffff;\n  border-radius:0 0 6px 0;\n  border-top:1px solid rgba(16, 22, 26, 0.15);\n  padding:10px; }\n  .bp3-dark .bp3-multistep-dialog-footer{\n    background:#30404d;\n    border-top:1px solid rgba(16, 22, 26, 0.4); }\n\n.bp3-dialog-step-container{\n  background-color:#f5f8fa;\n  border-bottom:1px solid rgba(16, 22, 26, 0.15); }\n  .bp3-dark .bp3-dialog-step-container{\n    background:#293742;\n    border-bottom:1px solid rgba(16, 22, 26, 0.4); }\n  .bp3-dialog-step-container.bp3-dialog-step-viewed{\n    background-color:#ffffff; }\n    .bp3-dark .bp3-dialog-step-container.bp3-dialog-step-viewed{\n      background:#30404d; }\n\n.bp3-dialog-step{\n  -webkit-box-align:center;\n      -ms-flex-align:center;\n          align-items:center;\n  background-color:#f5f8fa;\n  border-radius:6px;\n  cursor:not-allowed;\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  margin:4px;\n  padding:6px 14px; }\n  .bp3-dark .bp3-dialog-step{\n    background:#293742; }\n  .bp3-dialog-step-viewed .bp3-dialog-step{\n    background-color:#ffffff;\n    cursor:pointer; }\n    .bp3-dark .bp3-dialog-step-viewed .bp3-dialog-step{\n      background:#30404d; }\n  .bp3-dialog-step:hover{\n    background-color:#f5f8fa; }\n    .bp3-dark .bp3-dialog-step:hover{\n      background:#293742; }\n\n.bp3-dialog-step-icon{\n  -webkit-box-align:center;\n      -ms-flex-align:center;\n          align-items:center;\n  background-color:rgba(92, 112, 128, 0.6);\n  border-radius:50%;\n  color:#ffffff;\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  height:25px;\n  -webkit-box-pack:center;\n      -ms-flex-pack:center;\n          justify-content:center;\n  width:25px; }\n  .bp3-dark .bp3-dialog-step-icon{\n    background-color:rgba(167, 182, 194, 0.6); }\n  .bp3-active.bp3-dialog-step-viewed .bp3-dialog-step-icon{\n    background-color:#2b95d6; }\n  .bp3-dialog-step-viewed .bp3-dialog-step-icon{\n    background-color:#8a9ba8; }\n\n.bp3-dialog-step-title{\n  color:rgba(92, 112, 128, 0.6);\n  -webkit-box-flex:1;\n      -ms-flex:1;\n          flex:1;\n  padding-left:10px; }\n  .bp3-dark .bp3-dialog-step-title{\n    color:rgba(167, 182, 194, 0.6); }\n  .bp3-active.bp3-dialog-step-viewed .bp3-dialog-step-title{\n    color:#2b95d6; }\n  .bp3-dialog-step-viewed:not(.bp3-active) .bp3-dialog-step-title{\n    color:#182026; }\n    .bp3-dark .bp3-dialog-step-viewed:not(.bp3-active) .bp3-dialog-step-title{\n      color:#f5f8fa; }\n.bp3-drawer{\n  background:#ffffff;\n  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);\n          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -webkit-box-orient:vertical;\n  -webkit-box-direction:normal;\n      -ms-flex-direction:column;\n          flex-direction:column;\n  margin:0;\n  padding:0; }\n  .bp3-drawer:focus{\n    outline:0; }\n  .bp3-drawer.bp3-position-top{\n    height:50%;\n    left:0;\n    right:0;\n    top:0; }\n    .bp3-drawer.bp3-position-top.bp3-overlay-enter, .bp3-drawer.bp3-position-top.bp3-overlay-appear{\n      -webkit-transform:translateY(-100%);\n              transform:translateY(-100%); }\n    .bp3-drawer.bp3-position-top.bp3-overlay-enter-active, .bp3-drawer.bp3-position-top.bp3-overlay-appear-active{\n      -webkit-transform:translateY(0);\n              transform:translateY(0);\n      -webkit-transition-delay:0;\n              transition-delay:0;\n      -webkit-transition-duration:200ms;\n              transition-duration:200ms;\n      -webkit-transition-property:-webkit-transform;\n      transition-property:-webkit-transform;\n      transition-property:transform;\n      transition-property:transform, -webkit-transform;\n      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n    .bp3-drawer.bp3-position-top.bp3-overlay-exit{\n      -webkit-transform:translateY(0);\n              transform:translateY(0); }\n    .bp3-drawer.bp3-position-top.bp3-overlay-exit-active{\n      -webkit-transform:translateY(-100%);\n              transform:translateY(-100%);\n      -webkit-transition-delay:0;\n              transition-delay:0;\n      -webkit-transition-duration:100ms;\n              transition-duration:100ms;\n      -webkit-transition-property:-webkit-transform;\n      transition-property:-webkit-transform;\n      transition-property:transform;\n      transition-property:transform, -webkit-transform;\n      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-drawer.bp3-position-bottom{\n    bottom:0;\n    height:50%;\n    left:0;\n    right:0; }\n    .bp3-drawer.bp3-position-bottom.bp3-overlay-enter, .bp3-drawer.bp3-position-bottom.bp3-overlay-appear{\n      -webkit-transform:translateY(100%);\n              transform:translateY(100%); }\n    .bp3-drawer.bp3-position-bottom.bp3-overlay-enter-active, .bp3-drawer.bp3-position-bottom.bp3-overlay-appear-active{\n      -webkit-transform:translateY(0);\n              transform:translateY(0);\n      -webkit-transition-delay:0;\n              transition-delay:0;\n      -webkit-transition-duration:200ms;\n              transition-duration:200ms;\n      -webkit-transition-property:-webkit-transform;\n      transition-property:-webkit-transform;\n      transition-property:transform;\n      transition-property:transform, -webkit-transform;\n      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n    .bp3-drawer.bp3-position-bottom.bp3-overlay-exit{\n      -webkit-transform:translateY(0);\n              transform:translateY(0); }\n    .bp3-drawer.bp3-position-bottom.bp3-overlay-exit-active{\n      -webkit-transform:translateY(100%);\n              transform:translateY(100%);\n      -webkit-transition-delay:0;\n              transition-delay:0;\n      -webkit-transition-duration:100ms;\n              transition-duration:100ms;\n      -webkit-transition-property:-webkit-transform;\n      transition-property:-webkit-transform;\n      transition-property:transform;\n      transition-property:transform, -webkit-transform;\n      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-drawer.bp3-position-left{\n    bottom:0;\n    left:0;\n    top:0;\n    width:50%; }\n    .bp3-drawer.bp3-position-left.bp3-overlay-enter, .bp3-drawer.bp3-position-left.bp3-overlay-appear{\n      -webkit-transform:translateX(-100%);\n              transform:translateX(-100%); }\n    .bp3-drawer.bp3-position-left.bp3-overlay-enter-active, .bp3-drawer.bp3-position-left.bp3-overlay-appear-active{\n      -webkit-transform:translateX(0);\n              transform:translateX(0);\n      -webkit-transition-delay:0;\n              transition-delay:0;\n      -webkit-transition-duration:200ms;\n              transition-duration:200ms;\n      -webkit-transition-property:-webkit-transform;\n      transition-property:-webkit-transform;\n      transition-property:transform;\n      transition-property:transform, -webkit-transform;\n      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n    .bp3-drawer.bp3-position-left.bp3-overlay-exit{\n      -webkit-transform:translateX(0);\n              transform:translateX(0); }\n    .bp3-drawer.bp3-position-left.bp3-overlay-exit-active{\n      -webkit-transform:translateX(-100%);\n              transform:translateX(-100%);\n      -webkit-transition-delay:0;\n              transition-delay:0;\n      -webkit-transition-duration:100ms;\n              transition-duration:100ms;\n      -webkit-transition-property:-webkit-transform;\n      transition-property:-webkit-transform;\n      transition-property:transform;\n      transition-property:transform, -webkit-transform;\n      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-drawer.bp3-position-right{\n    bottom:0;\n    right:0;\n    top:0;\n    width:50%; }\n    .bp3-drawer.bp3-position-right.bp3-overlay-enter, .bp3-drawer.bp3-position-right.bp3-overlay-appear{\n      -webkit-transform:translateX(100%);\n              transform:translateX(100%); }\n    .bp3-drawer.bp3-position-right.bp3-overlay-enter-active, .bp3-drawer.bp3-position-right.bp3-overlay-appear-active{\n      -webkit-transform:translateX(0);\n              transform:translateX(0);\n      -webkit-transition-delay:0;\n              transition-delay:0;\n      -webkit-transition-duration:200ms;\n              transition-duration:200ms;\n      -webkit-transition-property:-webkit-transform;\n      transition-property:-webkit-transform;\n      transition-property:transform;\n      transition-property:transform, -webkit-transform;\n      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n    .bp3-drawer.bp3-position-right.bp3-overlay-exit{\n      -webkit-transform:translateX(0);\n              transform:translateX(0); }\n    .bp3-drawer.bp3-position-right.bp3-overlay-exit-active{\n      -webkit-transform:translateX(100%);\n              transform:translateX(100%);\n      -webkit-transition-delay:0;\n              transition-delay:0;\n      -webkit-transition-duration:100ms;\n              transition-duration:100ms;\n      -webkit-transition-property:-webkit-transform;\n      transition-property:-webkit-transform;\n      transition-property:transform;\n      transition-property:transform, -webkit-transform;\n      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(\n  .bp3-position-right):not(.bp3-vertical){\n    bottom:0;\n    right:0;\n    top:0;\n    width:50%; }\n    .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(\n    .bp3-position-right):not(.bp3-vertical).bp3-overlay-enter, .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(\n    .bp3-position-right):not(.bp3-vertical).bp3-overlay-appear{\n      -webkit-transform:translateX(100%);\n              transform:translateX(100%); }\n    .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(\n    .bp3-position-right):not(.bp3-vertical).bp3-overlay-enter-active, .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(\n    .bp3-position-right):not(.bp3-vertical).bp3-overlay-appear-active{\n      -webkit-transform:translateX(0);\n              transform:translateX(0);\n      -webkit-transition-delay:0;\n              transition-delay:0;\n      -webkit-transition-duration:200ms;\n              transition-duration:200ms;\n      -webkit-transition-property:-webkit-transform;\n      transition-property:-webkit-transform;\n      transition-property:transform;\n      transition-property:transform, -webkit-transform;\n      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n    .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(\n    .bp3-position-right):not(.bp3-vertical).bp3-overlay-exit{\n      -webkit-transform:translateX(0);\n              transform:translateX(0); }\n    .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(\n    .bp3-position-right):not(.bp3-vertical).bp3-overlay-exit-active{\n      -webkit-transform:translateX(100%);\n              transform:translateX(100%);\n      -webkit-transition-delay:0;\n              transition-delay:0;\n      -webkit-transition-duration:100ms;\n              transition-duration:100ms;\n      -webkit-transition-property:-webkit-transform;\n      transition-property:-webkit-transform;\n      transition-property:transform;\n      transition-property:transform, -webkit-transform;\n      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(\n  .bp3-position-right).bp3-vertical{\n    bottom:0;\n    height:50%;\n    left:0;\n    right:0; }\n    .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(\n    .bp3-position-right).bp3-vertical.bp3-overlay-enter, .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(\n    .bp3-position-right).bp3-vertical.bp3-overlay-appear{\n      -webkit-transform:translateY(100%);\n              transform:translateY(100%); }\n    .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(\n    .bp3-position-right).bp3-vertical.bp3-overlay-enter-active, .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(\n    .bp3-position-right).bp3-vertical.bp3-overlay-appear-active{\n      -webkit-transform:translateY(0);\n              transform:translateY(0);\n      -webkit-transition-delay:0;\n              transition-delay:0;\n      -webkit-transition-duration:200ms;\n              transition-duration:200ms;\n      -webkit-transition-property:-webkit-transform;\n      transition-property:-webkit-transform;\n      transition-property:transform;\n      transition-property:transform, -webkit-transform;\n      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n    .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(\n    .bp3-position-right).bp3-vertical.bp3-overlay-exit{\n      -webkit-transform:translateY(0);\n              transform:translateY(0); }\n    .bp3-drawer:not(.bp3-position-top):not(.bp3-position-bottom):not(.bp3-position-left):not(\n    .bp3-position-right).bp3-vertical.bp3-overlay-exit-active{\n      -webkit-transform:translateY(100%);\n              transform:translateY(100%);\n      -webkit-transition-delay:0;\n              transition-delay:0;\n      -webkit-transition-duration:100ms;\n              transition-duration:100ms;\n      -webkit-transition-property:-webkit-transform;\n      transition-property:-webkit-transform;\n      transition-property:transform;\n      transition-property:transform, -webkit-transform;\n      -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n              transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-drawer.bp3-dark,\n  .bp3-dark .bp3-drawer{\n    background:#30404d;\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4);\n    color:#f5f8fa; }\n\n.bp3-drawer-header{\n  -webkit-box-align:center;\n      -ms-flex-align:center;\n          align-items:center;\n  border-radius:0;\n  -webkit-box-shadow:0 1px 0 rgba(16, 22, 26, 0.15);\n          box-shadow:0 1px 0 rgba(16, 22, 26, 0.15);\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -webkit-box-flex:0;\n      -ms-flex:0 0 auto;\n          flex:0 0 auto;\n  min-height:40px;\n  padding:5px;\n  padding-left:20px;\n  position:relative; }\n  .bp3-drawer-header .bp3-icon-large,\n  .bp3-drawer-header .bp3-icon{\n    color:#5c7080;\n    -webkit-box-flex:0;\n        -ms-flex:0 0 auto;\n            flex:0 0 auto;\n    margin-right:10px; }\n  .bp3-drawer-header .bp3-heading{\n    overflow:hidden;\n    text-overflow:ellipsis;\n    white-space:nowrap;\n    word-wrap:normal;\n    -webkit-box-flex:1;\n        -ms-flex:1 1 auto;\n            flex:1 1 auto;\n    line-height:inherit;\n    margin:0; }\n    .bp3-drawer-header .bp3-heading:last-child{\n      margin-right:20px; }\n  .bp3-dark .bp3-drawer-header{\n    -webkit-box-shadow:0 1px 0 rgba(16, 22, 26, 0.4);\n            box-shadow:0 1px 0 rgba(16, 22, 26, 0.4); }\n    .bp3-dark .bp3-drawer-header .bp3-icon-large,\n    .bp3-dark .bp3-drawer-header .bp3-icon{\n      color:#a7b6c2; }\n\n.bp3-drawer-body{\n  -webkit-box-flex:1;\n      -ms-flex:1 1 auto;\n          flex:1 1 auto;\n  line-height:18px;\n  overflow:auto; }\n\n.bp3-drawer-footer{\n  -webkit-box-shadow:inset 0 1px 0 rgba(16, 22, 26, 0.15);\n          box-shadow:inset 0 1px 0 rgba(16, 22, 26, 0.15);\n  -webkit-box-flex:0;\n      -ms-flex:0 0 auto;\n          flex:0 0 auto;\n  padding:10px 20px;\n  position:relative; }\n  .bp3-dark .bp3-drawer-footer{\n    -webkit-box-shadow:inset 0 1px 0 rgba(16, 22, 26, 0.4);\n            box-shadow:inset 0 1px 0 rgba(16, 22, 26, 0.4); }\n.bp3-editable-text{\n  cursor:text;\n  display:inline-block;\n  max-width:100%;\n  position:relative;\n  vertical-align:top;\n  white-space:nowrap; }\n  .bp3-editable-text::before{\n    bottom:-3px;\n    left:-3px;\n    position:absolute;\n    right:-3px;\n    top:-3px;\n    border-radius:3px;\n    content:\"\";\n    -webkit-transition:background-color 100ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);\n    transition:background-color 100ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);\n    transition:background-color 100ms cubic-bezier(0.4, 1, 0.75, 0.9), box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);\n    transition:background-color 100ms cubic-bezier(0.4, 1, 0.75, 0.9), box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-editable-text:hover::before{\n    -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.15);\n            box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.15); }\n  .bp3-editable-text.bp3-editable-text-editing::before{\n    background-color:#ffffff;\n    -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n            box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n  .bp3-editable-text.bp3-disabled::before{\n    -webkit-box-shadow:none;\n            box-shadow:none; }\n  .bp3-editable-text.bp3-intent-primary .bp3-editable-text-input,\n  .bp3-editable-text.bp3-intent-primary .bp3-editable-text-content{\n    color:#137cbd; }\n  .bp3-editable-text.bp3-intent-primary:hover::before{\n    -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(19, 124, 189, 0.4);\n            box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(19, 124, 189, 0.4); }\n  .bp3-editable-text.bp3-intent-primary.bp3-editable-text-editing::before{\n    -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n            box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n  .bp3-editable-text.bp3-intent-success .bp3-editable-text-input,\n  .bp3-editable-text.bp3-intent-success .bp3-editable-text-content{\n    color:#0f9960; }\n  .bp3-editable-text.bp3-intent-success:hover::before{\n    -webkit-box-shadow:0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), inset 0 0 0 1px rgba(15, 153, 96, 0.4);\n            box-shadow:0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), inset 0 0 0 1px rgba(15, 153, 96, 0.4); }\n  .bp3-editable-text.bp3-intent-success.bp3-editable-text-editing::before{\n    -webkit-box-shadow:0 0 0 1px #0f9960, 0 0 0 3px rgba(15, 153, 96, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n            box-shadow:0 0 0 1px #0f9960, 0 0 0 3px rgba(15, 153, 96, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n  .bp3-editable-text.bp3-intent-warning .bp3-editable-text-input,\n  .bp3-editable-text.bp3-intent-warning .bp3-editable-text-content{\n    color:#d9822b; }\n  .bp3-editable-text.bp3-intent-warning:hover::before{\n    -webkit-box-shadow:0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), inset 0 0 0 1px rgba(217, 130, 43, 0.4);\n            box-shadow:0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), inset 0 0 0 1px rgba(217, 130, 43, 0.4); }\n  .bp3-editable-text.bp3-intent-warning.bp3-editable-text-editing::before{\n    -webkit-box-shadow:0 0 0 1px #d9822b, 0 0 0 3px rgba(217, 130, 43, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n            box-shadow:0 0 0 1px #d9822b, 0 0 0 3px rgba(217, 130, 43, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n  .bp3-editable-text.bp3-intent-danger .bp3-editable-text-input,\n  .bp3-editable-text.bp3-intent-danger .bp3-editable-text-content{\n    color:#db3737; }\n  .bp3-editable-text.bp3-intent-danger:hover::before{\n    -webkit-box-shadow:0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), inset 0 0 0 1px rgba(219, 55, 55, 0.4);\n            box-shadow:0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), inset 0 0 0 1px rgba(219, 55, 55, 0.4); }\n  .bp3-editable-text.bp3-intent-danger.bp3-editable-text-editing::before{\n    -webkit-box-shadow:0 0 0 1px #db3737, 0 0 0 3px rgba(219, 55, 55, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n            box-shadow:0 0 0 1px #db3737, 0 0 0 3px rgba(219, 55, 55, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n  .bp3-dark .bp3-editable-text:hover::before{\n    -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(255, 255, 255, 0.15);\n            box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(255, 255, 255, 0.15); }\n  .bp3-dark .bp3-editable-text.bp3-editable-text-editing::before{\n    background-color:rgba(16, 22, 26, 0.3);\n    -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }\n  .bp3-dark .bp3-editable-text.bp3-disabled::before{\n    -webkit-box-shadow:none;\n            box-shadow:none; }\n  .bp3-dark .bp3-editable-text.bp3-intent-primary .bp3-editable-text-content{\n    color:#48aff0; }\n  .bp3-dark .bp3-editable-text.bp3-intent-primary:hover::before{\n    -webkit-box-shadow:0 0 0 0 rgba(72, 175, 240, 0), 0 0 0 0 rgba(72, 175, 240, 0), inset 0 0 0 1px rgba(72, 175, 240, 0.4);\n            box-shadow:0 0 0 0 rgba(72, 175, 240, 0), 0 0 0 0 rgba(72, 175, 240, 0), inset 0 0 0 1px rgba(72, 175, 240, 0.4); }\n  .bp3-dark .bp3-editable-text.bp3-intent-primary.bp3-editable-text-editing::before{\n    -webkit-box-shadow:0 0 0 1px #48aff0, 0 0 0 3px rgba(72, 175, 240, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px #48aff0, 0 0 0 3px rgba(72, 175, 240, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }\n  .bp3-dark .bp3-editable-text.bp3-intent-success .bp3-editable-text-content{\n    color:#3dcc91; }\n  .bp3-dark .bp3-editable-text.bp3-intent-success:hover::before{\n    -webkit-box-shadow:0 0 0 0 rgba(61, 204, 145, 0), 0 0 0 0 rgba(61, 204, 145, 0), inset 0 0 0 1px rgba(61, 204, 145, 0.4);\n            box-shadow:0 0 0 0 rgba(61, 204, 145, 0), 0 0 0 0 rgba(61, 204, 145, 0), inset 0 0 0 1px rgba(61, 204, 145, 0.4); }\n  .bp3-dark .bp3-editable-text.bp3-intent-success.bp3-editable-text-editing::before{\n    -webkit-box-shadow:0 0 0 1px #3dcc91, 0 0 0 3px rgba(61, 204, 145, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px #3dcc91, 0 0 0 3px rgba(61, 204, 145, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }\n  .bp3-dark .bp3-editable-text.bp3-intent-warning .bp3-editable-text-content{\n    color:#ffb366; }\n  .bp3-dark .bp3-editable-text.bp3-intent-warning:hover::before{\n    -webkit-box-shadow:0 0 0 0 rgba(255, 179, 102, 0), 0 0 0 0 rgba(255, 179, 102, 0), inset 0 0 0 1px rgba(255, 179, 102, 0.4);\n            box-shadow:0 0 0 0 rgba(255, 179, 102, 0), 0 0 0 0 rgba(255, 179, 102, 0), inset 0 0 0 1px rgba(255, 179, 102, 0.4); }\n  .bp3-dark .bp3-editable-text.bp3-intent-warning.bp3-editable-text-editing::before{\n    -webkit-box-shadow:0 0 0 1px #ffb366, 0 0 0 3px rgba(255, 179, 102, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px #ffb366, 0 0 0 3px rgba(255, 179, 102, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }\n  .bp3-dark .bp3-editable-text.bp3-intent-danger .bp3-editable-text-content{\n    color:#ff7373; }\n  .bp3-dark .bp3-editable-text.bp3-intent-danger:hover::before{\n    -webkit-box-shadow:0 0 0 0 rgba(255, 115, 115, 0), 0 0 0 0 rgba(255, 115, 115, 0), inset 0 0 0 1px rgba(255, 115, 115, 0.4);\n            box-shadow:0 0 0 0 rgba(255, 115, 115, 0), 0 0 0 0 rgba(255, 115, 115, 0), inset 0 0 0 1px rgba(255, 115, 115, 0.4); }\n  .bp3-dark .bp3-editable-text.bp3-intent-danger.bp3-editable-text-editing::before{\n    -webkit-box-shadow:0 0 0 1px #ff7373, 0 0 0 3px rgba(255, 115, 115, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px #ff7373, 0 0 0 3px rgba(255, 115, 115, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }\n\n.bp3-editable-text-input,\n.bp3-editable-text-content{\n  color:inherit;\n  display:inherit;\n  font:inherit;\n  letter-spacing:inherit;\n  max-width:inherit;\n  min-width:inherit;\n  position:relative;\n  resize:none;\n  text-transform:inherit;\n  vertical-align:top; }\n\n.bp3-editable-text-input{\n  background:none;\n  border:none;\n  -webkit-box-shadow:none;\n          box-shadow:none;\n  padding:0;\n  white-space:pre-wrap;\n  width:100%; }\n  .bp3-editable-text-input::-webkit-input-placeholder{\n    color:rgba(92, 112, 128, 0.6);\n    opacity:1; }\n  .bp3-editable-text-input::-moz-placeholder{\n    color:rgba(92, 112, 128, 0.6);\n    opacity:1; }\n  .bp3-editable-text-input:-ms-input-placeholder{\n    color:rgba(92, 112, 128, 0.6);\n    opacity:1; }\n  .bp3-editable-text-input::-ms-input-placeholder{\n    color:rgba(92, 112, 128, 0.6);\n    opacity:1; }\n  .bp3-editable-text-input::placeholder{\n    color:rgba(92, 112, 128, 0.6);\n    opacity:1; }\n  .bp3-editable-text-input:focus{\n    outline:none; }\n  .bp3-editable-text-input::-ms-clear{\n    display:none; }\n\n.bp3-editable-text-content{\n  overflow:hidden;\n  padding-right:2px;\n  text-overflow:ellipsis;\n  white-space:pre; }\n  .bp3-editable-text-editing > .bp3-editable-text-content{\n    left:0;\n    position:absolute;\n    visibility:hidden; }\n  .bp3-editable-text-placeholder > .bp3-editable-text-content{\n    color:rgba(92, 112, 128, 0.6); }\n    .bp3-dark .bp3-editable-text-placeholder > .bp3-editable-text-content{\n      color:rgba(167, 182, 194, 0.6); }\n\n.bp3-editable-text.bp3-multiline{\n  display:block; }\n  .bp3-editable-text.bp3-multiline .bp3-editable-text-content{\n    overflow:auto;\n    white-space:pre-wrap;\n    word-wrap:break-word; }\n.bp3-divider{\n  border-bottom:1px solid rgba(16, 22, 26, 0.15);\n  border-right:1px solid rgba(16, 22, 26, 0.15);\n  margin:5px; }\n  .bp3-dark .bp3-divider{\n    border-color:rgba(16, 22, 26, 0.4); }\n.bp3-control-group{\n  -webkit-transform:translateZ(0);\n          transform:translateZ(0);\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -webkit-box-orient:horizontal;\n  -webkit-box-direction:normal;\n      -ms-flex-direction:row;\n          flex-direction:row;\n  -webkit-box-align:stretch;\n      -ms-flex-align:stretch;\n          align-items:stretch; }\n  .bp3-control-group > *{\n    -webkit-box-flex:0;\n        -ms-flex-positive:0;\n            flex-grow:0;\n    -ms-flex-negative:0;\n        flex-shrink:0; }\n  .bp3-control-group > .bp3-fill{\n    -webkit-box-flex:1;\n        -ms-flex-positive:1;\n            flex-grow:1;\n    -ms-flex-negative:1;\n        flex-shrink:1; }\n  .bp3-control-group .bp3-button,\n  .bp3-control-group .bp3-html-select,\n  .bp3-control-group .bp3-input,\n  .bp3-control-group .bp3-select{\n    position:relative; }\n  .bp3-control-group .bp3-input{\n    border-radius:inherit;\n    z-index:2; }\n    .bp3-control-group .bp3-input:focus{\n      border-radius:3px;\n      z-index:14; }\n    .bp3-control-group .bp3-input[class*=\"bp3-intent\"]{\n      z-index:13; }\n      .bp3-control-group .bp3-input[class*=\"bp3-intent\"]:focus{\n        z-index:15; }\n    .bp3-control-group .bp3-input[readonly], .bp3-control-group .bp3-input:disabled, .bp3-control-group .bp3-input.bp3-disabled{\n      z-index:1; }\n  .bp3-control-group .bp3-input-group[class*=\"bp3-intent\"] .bp3-input{\n    z-index:13; }\n    .bp3-control-group .bp3-input-group[class*=\"bp3-intent\"] .bp3-input:focus{\n      z-index:15; }\n  .bp3-control-group .bp3-button,\n  .bp3-control-group .bp3-html-select select,\n  .bp3-control-group .bp3-select select{\n    -webkit-transform:translateZ(0);\n            transform:translateZ(0);\n    border-radius:inherit;\n    z-index:4; }\n    .bp3-control-group .bp3-button:focus,\n    .bp3-control-group .bp3-html-select select:focus,\n    .bp3-control-group .bp3-select select:focus{\n      z-index:5; }\n    .bp3-control-group .bp3-button:hover,\n    .bp3-control-group .bp3-html-select select:hover,\n    .bp3-control-group .bp3-select select:hover{\n      z-index:6; }\n    .bp3-control-group .bp3-button:active,\n    .bp3-control-group .bp3-html-select select:active,\n    .bp3-control-group .bp3-select select:active{\n      z-index:7; }\n    .bp3-control-group .bp3-button[readonly], .bp3-control-group .bp3-button:disabled, .bp3-control-group .bp3-button.bp3-disabled,\n    .bp3-control-group .bp3-html-select select[readonly],\n    .bp3-control-group .bp3-html-select select:disabled,\n    .bp3-control-group .bp3-html-select select.bp3-disabled,\n    .bp3-control-group .bp3-select select[readonly],\n    .bp3-control-group .bp3-select select:disabled,\n    .bp3-control-group .bp3-select select.bp3-disabled{\n      z-index:3; }\n    .bp3-control-group .bp3-button[class*=\"bp3-intent\"],\n    .bp3-control-group .bp3-html-select select[class*=\"bp3-intent\"],\n    .bp3-control-group .bp3-select select[class*=\"bp3-intent\"]{\n      z-index:9; }\n      .bp3-control-group .bp3-button[class*=\"bp3-intent\"]:focus,\n      .bp3-control-group .bp3-html-select select[class*=\"bp3-intent\"]:focus,\n      .bp3-control-group .bp3-select select[class*=\"bp3-intent\"]:focus{\n        z-index:10; }\n      .bp3-control-group .bp3-button[class*=\"bp3-intent\"]:hover,\n      .bp3-control-group .bp3-html-select select[class*=\"bp3-intent\"]:hover,\n      .bp3-control-group .bp3-select select[class*=\"bp3-intent\"]:hover{\n        z-index:11; }\n      .bp3-control-group .bp3-button[class*=\"bp3-intent\"]:active,\n      .bp3-control-group .bp3-html-select select[class*=\"bp3-intent\"]:active,\n      .bp3-control-group .bp3-select select[class*=\"bp3-intent\"]:active{\n        z-index:12; }\n      .bp3-control-group .bp3-button[class*=\"bp3-intent\"][readonly], .bp3-control-group .bp3-button[class*=\"bp3-intent\"]:disabled, .bp3-control-group .bp3-button[class*=\"bp3-intent\"].bp3-disabled,\n      .bp3-control-group .bp3-html-select select[class*=\"bp3-intent\"][readonly],\n      .bp3-control-group .bp3-html-select select[class*=\"bp3-intent\"]:disabled,\n      .bp3-control-group .bp3-html-select select[class*=\"bp3-intent\"].bp3-disabled,\n      .bp3-control-group .bp3-select select[class*=\"bp3-intent\"][readonly],\n      .bp3-control-group .bp3-select select[class*=\"bp3-intent\"]:disabled,\n      .bp3-control-group .bp3-select select[class*=\"bp3-intent\"].bp3-disabled{\n        z-index:8; }\n  .bp3-control-group .bp3-input-group > .bp3-icon,\n  .bp3-control-group .bp3-input-group > .bp3-button,\n  .bp3-control-group .bp3-input-group > .bp3-input-left-container,\n  .bp3-control-group .bp3-input-group > .bp3-input-action{\n    z-index:16; }\n  .bp3-control-group .bp3-select::after,\n  .bp3-control-group .bp3-html-select::after,\n  .bp3-control-group .bp3-select > .bp3-icon,\n  .bp3-control-group .bp3-html-select > .bp3-icon{\n    z-index:17; }\n  .bp3-control-group .bp3-select:focus-within{\n    z-index:5; }\n  .bp3-control-group:not(.bp3-vertical) > *:not(.bp3-divider){\n    margin-right:-1px; }\n  .bp3-control-group:not(.bp3-vertical) > .bp3-divider:not(:first-child){\n    margin-left:6px; }\n  .bp3-dark .bp3-control-group:not(.bp3-vertical) > *:not(.bp3-divider){\n    margin-right:0; }\n  .bp3-dark .bp3-control-group:not(.bp3-vertical) > .bp3-button + .bp3-button{\n    margin-left:1px; }\n  .bp3-control-group .bp3-popover-wrapper,\n  .bp3-control-group .bp3-popover-target{\n    border-radius:inherit; }\n  .bp3-control-group > :first-child{\n    border-radius:3px 0 0 3px; }\n  .bp3-control-group > :last-child{\n    border-radius:0 3px 3px 0;\n    margin-right:0; }\n  .bp3-control-group > :only-child{\n    border-radius:3px;\n    margin-right:0; }\n  .bp3-control-group .bp3-input-group .bp3-button{\n    border-radius:3px; }\n  .bp3-control-group .bp3-numeric-input:not(:first-child) .bp3-input-group{\n    border-bottom-left-radius:0;\n    border-top-left-radius:0; }\n  .bp3-control-group.bp3-fill{\n    width:100%; }\n  .bp3-control-group > .bp3-fill{\n    -webkit-box-flex:1;\n        -ms-flex:1 1 auto;\n            flex:1 1 auto; }\n  .bp3-control-group.bp3-fill > *:not(.bp3-fixed){\n    -webkit-box-flex:1;\n        -ms-flex:1 1 auto;\n            flex:1 1 auto; }\n  .bp3-control-group.bp3-vertical{\n    -webkit-box-orient:vertical;\n    -webkit-box-direction:normal;\n        -ms-flex-direction:column;\n            flex-direction:column; }\n    .bp3-control-group.bp3-vertical > *{\n      margin-top:-1px; }\n    .bp3-control-group.bp3-vertical > :first-child{\n      border-radius:3px 3px 0 0;\n      margin-top:0; }\n    .bp3-control-group.bp3-vertical > :last-child{\n      border-radius:0 0 3px 3px; }\n.bp3-control{\n  cursor:pointer;\n  display:block;\n  margin-bottom:10px;\n  position:relative;\n  text-transform:none; }\n  .bp3-control input:checked ~ .bp3-control-indicator{\n    background-color:#137cbd;\n    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.1)), to(rgba(255, 255, 255, 0)));\n    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);\n    color:#ffffff; }\n  .bp3-control:hover input:checked ~ .bp3-control-indicator{\n    background-color:#106ba3;\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2); }\n  .bp3-control input:not(:disabled):active:checked ~ .bp3-control-indicator{\n    background:#0e5a8a;\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }\n  .bp3-control input:disabled:checked ~ .bp3-control-indicator{\n    background:rgba(19, 124, 189, 0.5);\n    -webkit-box-shadow:none;\n            box-shadow:none; }\n  .bp3-dark .bp3-control input:checked ~ .bp3-control-indicator{\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }\n  .bp3-dark .bp3-control:hover input:checked ~ .bp3-control-indicator{\n    background-color:#106ba3;\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }\n  .bp3-dark .bp3-control input:not(:disabled):active:checked ~ .bp3-control-indicator{\n    background-color:#0e5a8a;\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }\n  .bp3-dark .bp3-control input:disabled:checked ~ .bp3-control-indicator{\n    background:rgba(14, 90, 138, 0.5);\n    -webkit-box-shadow:none;\n            box-shadow:none; }\n  .bp3-control:not(.bp3-align-right){\n    padding-left:26px; }\n    .bp3-control:not(.bp3-align-right) .bp3-control-indicator{\n      margin-left:-26px; }\n  .bp3-control.bp3-align-right{\n    padding-right:26px; }\n    .bp3-control.bp3-align-right .bp3-control-indicator{\n      margin-right:-26px; }\n  .bp3-control.bp3-disabled{\n    color:rgba(92, 112, 128, 0.6);\n    cursor:not-allowed; }\n  .bp3-control.bp3-inline{\n    display:inline-block;\n    margin-right:20px; }\n  .bp3-control input{\n    left:0;\n    opacity:0;\n    position:absolute;\n    top:0;\n    z-index:-1; }\n  .bp3-control .bp3-control-indicator{\n    background-clip:padding-box;\n    background-color:#f5f8fa;\n    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.8)), to(rgba(255, 255, 255, 0)));\n    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.8), rgba(255, 255, 255, 0));\n    border:none;\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);\n    cursor:pointer;\n    display:inline-block;\n    font-size:16px;\n    height:1em;\n    margin-right:10px;\n    margin-top:-3px;\n    position:relative;\n    -webkit-user-select:none;\n       -moz-user-select:none;\n        -ms-user-select:none;\n            user-select:none;\n    vertical-align:middle;\n    width:1em; }\n    .bp3-control .bp3-control-indicator::before{\n      content:\"\";\n      display:block;\n      height:1em;\n      width:1em; }\n  .bp3-control:hover .bp3-control-indicator{\n    background-color:#ebf1f5; }\n  .bp3-control input:not(:disabled):active ~ .bp3-control-indicator{\n    background:#d8e1e8;\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2); }\n  .bp3-control input:disabled ~ .bp3-control-indicator{\n    background:rgba(206, 217, 224, 0.5);\n    -webkit-box-shadow:none;\n            box-shadow:none;\n    cursor:not-allowed; }\n  .bp3-control input:focus ~ .bp3-control-indicator{\n    outline:rgba(19, 124, 189, 0.6) auto 2px;\n    outline-offset:2px;\n    -moz-outline-radius:6px; }\n  .bp3-control.bp3-align-right .bp3-control-indicator{\n    float:right;\n    margin-left:10px;\n    margin-top:1px; }\n  .bp3-control.bp3-large{\n    font-size:16px; }\n    .bp3-control.bp3-large:not(.bp3-align-right){\n      padding-left:30px; }\n      .bp3-control.bp3-large:not(.bp3-align-right) .bp3-control-indicator{\n        margin-left:-30px; }\n    .bp3-control.bp3-large.bp3-align-right{\n      padding-right:30px; }\n      .bp3-control.bp3-large.bp3-align-right .bp3-control-indicator{\n        margin-right:-30px; }\n    .bp3-control.bp3-large .bp3-control-indicator{\n      font-size:20px; }\n    .bp3-control.bp3-large.bp3-align-right .bp3-control-indicator{\n      margin-top:0; }\n  .bp3-control.bp3-checkbox input:indeterminate ~ .bp3-control-indicator{\n    background-color:#137cbd;\n    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.1)), to(rgba(255, 255, 255, 0)));\n    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.1), rgba(255, 255, 255, 0));\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);\n    color:#ffffff; }\n  .bp3-control.bp3-checkbox:hover input:indeterminate ~ .bp3-control-indicator{\n    background-color:#106ba3;\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 -1px 0 rgba(16, 22, 26, 0.2); }\n  .bp3-control.bp3-checkbox input:not(:disabled):active:indeterminate ~ .bp3-control-indicator{\n    background:#0e5a8a;\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }\n  .bp3-control.bp3-checkbox input:disabled:indeterminate ~ .bp3-control-indicator{\n    background:rgba(19, 124, 189, 0.5);\n    -webkit-box-shadow:none;\n            box-shadow:none; }\n  .bp3-dark .bp3-control.bp3-checkbox input:indeterminate ~ .bp3-control-indicator{\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }\n  .bp3-dark .bp3-control.bp3-checkbox:hover input:indeterminate ~ .bp3-control-indicator{\n    background-color:#106ba3;\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }\n  .bp3-dark .bp3-control.bp3-checkbox input:not(:disabled):active:indeterminate ~ .bp3-control-indicator{\n    background-color:#0e5a8a;\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4), inset 0 1px 2px rgba(16, 22, 26, 0.2); }\n  .bp3-dark .bp3-control.bp3-checkbox input:disabled:indeterminate ~ .bp3-control-indicator{\n    background:rgba(14, 90, 138, 0.5);\n    -webkit-box-shadow:none;\n            box-shadow:none; }\n  .bp3-control.bp3-checkbox .bp3-control-indicator{\n    border-radius:3px; }\n  .bp3-control.bp3-checkbox input:checked ~ .bp3-control-indicator::before{\n    background-image:url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill-rule='evenodd' clip-rule='evenodd' d='M12 5c-.28 0-.53.11-.71.29L7 9.59l-2.29-2.3a1.003 1.003 0 00-1.42 1.42l3 3c.18.18.43.29.71.29s.53-.11.71-.29l5-5A1.003 1.003 0 0012 5z' fill='white'/%3e%3c/svg%3e\"); }\n  .bp3-control.bp3-checkbox input:indeterminate ~ .bp3-control-indicator::before{\n    background-image:url(\"data:image/svg+xml,%3csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 16 16'%3e%3cpath fill-rule='evenodd' clip-rule='evenodd' d='M11 7H5c-.55 0-1 .45-1 1s.45 1 1 1h6c.55 0 1-.45 1-1s-.45-1-1-1z' fill='white'/%3e%3c/svg%3e\"); }\n  .bp3-control.bp3-radio .bp3-control-indicator{\n    border-radius:50%; }\n  .bp3-control.bp3-radio input:checked ~ .bp3-control-indicator::before{\n    background-image:radial-gradient(#ffffff, #ffffff 28%, transparent 32%); }\n  .bp3-control.bp3-radio input:checked:disabled ~ .bp3-control-indicator::before{\n    opacity:0.5; }\n  .bp3-control.bp3-radio input:focus ~ .bp3-control-indicator{\n    -moz-outline-radius:16px; }\n  .bp3-control.bp3-switch input ~ .bp3-control-indicator{\n    background:rgba(167, 182, 194, 0.5); }\n  .bp3-control.bp3-switch:hover input ~ .bp3-control-indicator{\n    background:rgba(115, 134, 148, 0.5); }\n  .bp3-control.bp3-switch input:not(:disabled):active ~ .bp3-control-indicator{\n    background:rgba(92, 112, 128, 0.5); }\n  .bp3-control.bp3-switch input:disabled ~ .bp3-control-indicator{\n    background:rgba(206, 217, 224, 0.5); }\n    .bp3-control.bp3-switch input:disabled ~ .bp3-control-indicator::before{\n      background:rgba(255, 255, 255, 0.8); }\n  .bp3-control.bp3-switch input:checked ~ .bp3-control-indicator{\n    background:#137cbd; }\n  .bp3-control.bp3-switch:hover input:checked ~ .bp3-control-indicator{\n    background:#106ba3; }\n  .bp3-control.bp3-switch input:checked:not(:disabled):active ~ .bp3-control-indicator{\n    background:#0e5a8a; }\n  .bp3-control.bp3-switch input:checked:disabled ~ .bp3-control-indicator{\n    background:rgba(19, 124, 189, 0.5); }\n    .bp3-control.bp3-switch input:checked:disabled ~ .bp3-control-indicator::before{\n      background:rgba(255, 255, 255, 0.8); }\n  .bp3-control.bp3-switch:not(.bp3-align-right){\n    padding-left:38px; }\n    .bp3-control.bp3-switch:not(.bp3-align-right) .bp3-control-indicator{\n      margin-left:-38px; }\n  .bp3-control.bp3-switch.bp3-align-right{\n    padding-right:38px; }\n    .bp3-control.bp3-switch.bp3-align-right .bp3-control-indicator{\n      margin-right:-38px; }\n  .bp3-control.bp3-switch .bp3-control-indicator{\n    border:none;\n    border-radius:1.75em;\n    -webkit-box-shadow:none !important;\n            box-shadow:none !important;\n    min-width:1.75em;\n    -webkit-transition:background-color 100ms cubic-bezier(0.4, 1, 0.75, 0.9);\n    transition:background-color 100ms cubic-bezier(0.4, 1, 0.75, 0.9);\n    width:auto; }\n    .bp3-control.bp3-switch .bp3-control-indicator::before{\n      background:#ffffff;\n      border-radius:50%;\n      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.2);\n              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.2);\n      height:calc(1em - 4px);\n      left:0;\n      margin:2px;\n      position:absolute;\n      -webkit-transition:left 100ms cubic-bezier(0.4, 1, 0.75, 0.9);\n      transition:left 100ms cubic-bezier(0.4, 1, 0.75, 0.9);\n      width:calc(1em - 4px); }\n  .bp3-control.bp3-switch input:checked ~ .bp3-control-indicator::before{\n    left:calc(100% - 1em); }\n  .bp3-control.bp3-switch.bp3-large:not(.bp3-align-right){\n    padding-left:45px; }\n    .bp3-control.bp3-switch.bp3-large:not(.bp3-align-right) .bp3-control-indicator{\n      margin-left:-45px; }\n  .bp3-control.bp3-switch.bp3-large.bp3-align-right{\n    padding-right:45px; }\n    .bp3-control.bp3-switch.bp3-large.bp3-align-right .bp3-control-indicator{\n      margin-right:-45px; }\n  .bp3-dark .bp3-control.bp3-switch input ~ .bp3-control-indicator{\n    background:rgba(16, 22, 26, 0.5); }\n  .bp3-dark .bp3-control.bp3-switch:hover input ~ .bp3-control-indicator{\n    background:rgba(16, 22, 26, 0.7); }\n  .bp3-dark .bp3-control.bp3-switch input:not(:disabled):active ~ .bp3-control-indicator{\n    background:rgba(16, 22, 26, 0.9); }\n  .bp3-dark .bp3-control.bp3-switch input:disabled ~ .bp3-control-indicator{\n    background:rgba(57, 75, 89, 0.5); }\n    .bp3-dark .bp3-control.bp3-switch input:disabled ~ .bp3-control-indicator::before{\n      background:rgba(16, 22, 26, 0.4); }\n  .bp3-dark .bp3-control.bp3-switch input:checked ~ .bp3-control-indicator{\n    background:#137cbd; }\n  .bp3-dark .bp3-control.bp3-switch:hover input:checked ~ .bp3-control-indicator{\n    background:#106ba3; }\n  .bp3-dark .bp3-control.bp3-switch input:checked:not(:disabled):active ~ .bp3-control-indicator{\n    background:#0e5a8a; }\n  .bp3-dark .bp3-control.bp3-switch input:checked:disabled ~ .bp3-control-indicator{\n    background:rgba(14, 90, 138, 0.5); }\n    .bp3-dark .bp3-control.bp3-switch input:checked:disabled ~ .bp3-control-indicator::before{\n      background:rgba(16, 22, 26, 0.4); }\n  .bp3-dark .bp3-control.bp3-switch .bp3-control-indicator::before{\n    background:#394b59;\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }\n  .bp3-dark .bp3-control.bp3-switch input:checked ~ .bp3-control-indicator::before{\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4); }\n  .bp3-control.bp3-switch .bp3-switch-inner-text{\n    font-size:0.7em;\n    text-align:center; }\n  .bp3-control.bp3-switch .bp3-control-indicator-child:first-child{\n    line-height:0;\n    margin-left:0.5em;\n    margin-right:1.2em;\n    visibility:hidden; }\n  .bp3-control.bp3-switch .bp3-control-indicator-child:last-child{\n    line-height:1em;\n    margin-left:1.2em;\n    margin-right:0.5em;\n    visibility:visible; }\n  .bp3-control.bp3-switch input:checked ~ .bp3-control-indicator .bp3-control-indicator-child:first-child{\n    line-height:1em;\n    visibility:visible; }\n  .bp3-control.bp3-switch input:checked ~ .bp3-control-indicator .bp3-control-indicator-child:last-child{\n    line-height:0;\n    visibility:hidden; }\n  .bp3-dark .bp3-control{\n    color:#f5f8fa; }\n    .bp3-dark .bp3-control.bp3-disabled{\n      color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark .bp3-control .bp3-control-indicator{\n      background-color:#394b59;\n      background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.05)), to(rgba(255, 255, 255, 0)));\n      background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.05), rgba(255, 255, 255, 0));\n      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);\n              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }\n    .bp3-dark .bp3-control:hover .bp3-control-indicator{\n      background-color:#30404d; }\n    .bp3-dark .bp3-control input:not(:disabled):active ~ .bp3-control-indicator{\n      background:#202b33;\n      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2); }\n    .bp3-dark .bp3-control input:disabled ~ .bp3-control-indicator{\n      background:rgba(57, 75, 89, 0.5);\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      cursor:not-allowed; }\n    .bp3-dark .bp3-control.bp3-checkbox input:disabled:checked ~ .bp3-control-indicator, .bp3-dark .bp3-control.bp3-checkbox input:disabled:indeterminate ~ .bp3-control-indicator{\n      color:rgba(167, 182, 194, 0.6); }\n.bp3-file-input{\n  cursor:pointer;\n  display:inline-block;\n  height:30px;\n  position:relative; }\n  .bp3-file-input input{\n    margin:0;\n    min-width:200px;\n    opacity:0; }\n    .bp3-file-input input:disabled + .bp3-file-upload-input,\n    .bp3-file-input input.bp3-disabled + .bp3-file-upload-input{\n      background:rgba(206, 217, 224, 0.5);\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:rgba(92, 112, 128, 0.6);\n      cursor:not-allowed;\n      resize:none; }\n      .bp3-file-input input:disabled + .bp3-file-upload-input::after,\n      .bp3-file-input input.bp3-disabled + .bp3-file-upload-input::after{\n        background-color:rgba(206, 217, 224, 0.5);\n        background-image:none;\n        -webkit-box-shadow:none;\n                box-shadow:none;\n        color:rgba(92, 112, 128, 0.6);\n        cursor:not-allowed;\n        outline:none; }\n        .bp3-file-input input:disabled + .bp3-file-upload-input::after.bp3-active, .bp3-file-input input:disabled + .bp3-file-upload-input::after.bp3-active:hover,\n        .bp3-file-input input.bp3-disabled + .bp3-file-upload-input::after.bp3-active,\n        .bp3-file-input input.bp3-disabled + .bp3-file-upload-input::after.bp3-active:hover{\n          background:rgba(206, 217, 224, 0.7); }\n      .bp3-dark .bp3-file-input input:disabled + .bp3-file-upload-input, .bp3-dark\n      .bp3-file-input input.bp3-disabled + .bp3-file-upload-input{\n        background:rgba(57, 75, 89, 0.5);\n        -webkit-box-shadow:none;\n                box-shadow:none;\n        color:rgba(167, 182, 194, 0.6); }\n        .bp3-dark .bp3-file-input input:disabled + .bp3-file-upload-input::after, .bp3-dark\n        .bp3-file-input input.bp3-disabled + .bp3-file-upload-input::after{\n          background-color:rgba(57, 75, 89, 0.5);\n          background-image:none;\n          -webkit-box-shadow:none;\n                  box-shadow:none;\n          color:rgba(167, 182, 194, 0.6); }\n          .bp3-dark .bp3-file-input input:disabled + .bp3-file-upload-input::after.bp3-active, .bp3-dark\n          .bp3-file-input input.bp3-disabled + .bp3-file-upload-input::after.bp3-active{\n            background:rgba(57, 75, 89, 0.7); }\n  .bp3-file-input.bp3-file-input-has-selection .bp3-file-upload-input{\n    color:#182026; }\n  .bp3-dark .bp3-file-input.bp3-file-input-has-selection .bp3-file-upload-input{\n    color:#f5f8fa; }\n  .bp3-file-input.bp3-fill{\n    width:100%; }\n  .bp3-file-input.bp3-large,\n  .bp3-large .bp3-file-input{\n    height:40px; }\n  .bp3-file-input .bp3-file-upload-input-custom-text::after{\n    content:attr(bp3-button-text); }\n\n.bp3-file-upload-input{\n  -webkit-appearance:none;\n     -moz-appearance:none;\n          appearance:none;\n  background:#ffffff;\n  border:none;\n  border-radius:3px;\n  -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n          box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n  color:#182026;\n  font-size:14px;\n  font-weight:400;\n  height:30px;\n  line-height:30px;\n  outline:none;\n  padding:0 10px;\n  -webkit-transition:-webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);\n  transition:-webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);\n  transition:box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);\n  transition:box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);\n  vertical-align:middle;\n  overflow:hidden;\n  text-overflow:ellipsis;\n  white-space:nowrap;\n  word-wrap:normal;\n  color:rgba(92, 112, 128, 0.6);\n  left:0;\n  padding-right:80px;\n  position:absolute;\n  right:0;\n  top:0;\n  -webkit-user-select:none;\n     -moz-user-select:none;\n      -ms-user-select:none;\n          user-select:none; }\n  .bp3-file-upload-input::-webkit-input-placeholder{\n    color:rgba(92, 112, 128, 0.6);\n    opacity:1; }\n  .bp3-file-upload-input::-moz-placeholder{\n    color:rgba(92, 112, 128, 0.6);\n    opacity:1; }\n  .bp3-file-upload-input:-ms-input-placeholder{\n    color:rgba(92, 112, 128, 0.6);\n    opacity:1; }\n  .bp3-file-upload-input::-ms-input-placeholder{\n    color:rgba(92, 112, 128, 0.6);\n    opacity:1; }\n  .bp3-file-upload-input::placeholder{\n    color:rgba(92, 112, 128, 0.6);\n    opacity:1; }\n  .bp3-file-upload-input:focus, .bp3-file-upload-input.bp3-active{\n    -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n            box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n  .bp3-file-upload-input[type=\"search\"], .bp3-file-upload-input.bp3-round{\n    border-radius:30px;\n    -webkit-box-sizing:border-box;\n            box-sizing:border-box;\n    padding-left:10px; }\n  .bp3-file-upload-input[readonly]{\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.15);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.15); }\n  .bp3-file-upload-input:disabled, .bp3-file-upload-input.bp3-disabled{\n    background:rgba(206, 217, 224, 0.5);\n    -webkit-box-shadow:none;\n            box-shadow:none;\n    color:rgba(92, 112, 128, 0.6);\n    cursor:not-allowed;\n    resize:none; }\n  .bp3-file-upload-input::after{\n    background-color:#f5f8fa;\n    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.8)), to(rgba(255, 255, 255, 0)));\n    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.8), rgba(255, 255, 255, 0));\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);\n    color:#182026;\n    min-height:24px;\n    min-width:24px;\n    overflow:hidden;\n    text-overflow:ellipsis;\n    white-space:nowrap;\n    word-wrap:normal;\n    border-radius:3px;\n    content:\"Browse\";\n    line-height:24px;\n    margin:3px;\n    position:absolute;\n    right:0;\n    text-align:center;\n    top:0;\n    width:70px; }\n    .bp3-file-upload-input::after:hover{\n      background-clip:padding-box;\n      background-color:#ebf1f5;\n      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);\n              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1); }\n    .bp3-file-upload-input::after:active, .bp3-file-upload-input::after.bp3-active{\n      background-color:#d8e1e8;\n      background-image:none;\n      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2); }\n    .bp3-file-upload-input::after:disabled, .bp3-file-upload-input::after.bp3-disabled{\n      background-color:rgba(206, 217, 224, 0.5);\n      background-image:none;\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:rgba(92, 112, 128, 0.6);\n      cursor:not-allowed;\n      outline:none; }\n      .bp3-file-upload-input::after:disabled.bp3-active, .bp3-file-upload-input::after:disabled.bp3-active:hover, .bp3-file-upload-input::after.bp3-disabled.bp3-active, .bp3-file-upload-input::after.bp3-disabled.bp3-active:hover{\n        background:rgba(206, 217, 224, 0.7); }\n  .bp3-file-upload-input:hover::after{\n    background-clip:padding-box;\n    background-color:#ebf1f5;\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1); }\n  .bp3-file-upload-input:active::after{\n    background-color:#d8e1e8;\n    background-image:none;\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2); }\n  .bp3-large .bp3-file-upload-input{\n    font-size:16px;\n    height:40px;\n    line-height:40px;\n    padding-right:95px; }\n    .bp3-large .bp3-file-upload-input[type=\"search\"], .bp3-large .bp3-file-upload-input.bp3-round{\n      padding:0 15px; }\n    .bp3-large .bp3-file-upload-input::after{\n      min-height:30px;\n      min-width:30px;\n      line-height:30px;\n      margin:5px;\n      width:85px; }\n  .bp3-dark .bp3-file-upload-input{\n    background:rgba(16, 22, 26, 0.3);\n    -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n    color:#f5f8fa;\n    color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark .bp3-file-upload-input::-webkit-input-placeholder{\n      color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark .bp3-file-upload-input::-moz-placeholder{\n      color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark .bp3-file-upload-input:-ms-input-placeholder{\n      color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark .bp3-file-upload-input::-ms-input-placeholder{\n      color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark .bp3-file-upload-input::placeholder{\n      color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark .bp3-file-upload-input:focus{\n      -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n              box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }\n    .bp3-dark .bp3-file-upload-input[readonly]{\n      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);\n              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4); }\n    .bp3-dark .bp3-file-upload-input:disabled, .bp3-dark .bp3-file-upload-input.bp3-disabled{\n      background:rgba(57, 75, 89, 0.5);\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark .bp3-file-upload-input::after{\n      background-color:#394b59;\n      background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.05)), to(rgba(255, 255, 255, 0)));\n      background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.05), rgba(255, 255, 255, 0));\n      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);\n              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);\n      color:#f5f8fa; }\n      .bp3-dark .bp3-file-upload-input::after:hover, .bp3-dark .bp3-file-upload-input::after:active, .bp3-dark .bp3-file-upload-input::after.bp3-active{\n        color:#f5f8fa; }\n      .bp3-dark .bp3-file-upload-input::after:hover{\n        background-color:#30404d;\n        -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);\n                box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }\n      .bp3-dark .bp3-file-upload-input::after:active, .bp3-dark .bp3-file-upload-input::after.bp3-active{\n        background-color:#202b33;\n        background-image:none;\n        -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n                box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2); }\n      .bp3-dark .bp3-file-upload-input::after:disabled, .bp3-dark .bp3-file-upload-input::after.bp3-disabled{\n        background-color:rgba(57, 75, 89, 0.5);\n        background-image:none;\n        -webkit-box-shadow:none;\n                box-shadow:none;\n        color:rgba(167, 182, 194, 0.6); }\n        .bp3-dark .bp3-file-upload-input::after:disabled.bp3-active, .bp3-dark .bp3-file-upload-input::after.bp3-disabled.bp3-active{\n          background:rgba(57, 75, 89, 0.7); }\n      .bp3-dark .bp3-file-upload-input::after .bp3-button-spinner .bp3-spinner-head{\n        background:rgba(16, 22, 26, 0.5);\n        stroke:#8a9ba8; }\n    .bp3-dark .bp3-file-upload-input:hover::after{\n      background-color:#30404d;\n      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);\n              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }\n    .bp3-dark .bp3-file-upload-input:active::after{\n      background-color:#202b33;\n      background-image:none;\n      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2); }\n.bp3-file-upload-input::after{\n  -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);\n          box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1); }\n.bp3-form-group{\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -webkit-box-orient:vertical;\n  -webkit-box-direction:normal;\n      -ms-flex-direction:column;\n          flex-direction:column;\n  margin:0 0 15px; }\n  .bp3-form-group label.bp3-label{\n    margin-bottom:5px; }\n  .bp3-form-group .bp3-control{\n    margin-top:7px; }\n  .bp3-form-group .bp3-form-helper-text{\n    color:#5c7080;\n    font-size:12px;\n    margin-top:5px; }\n  .bp3-form-group.bp3-intent-primary .bp3-form-helper-text{\n    color:#106ba3; }\n  .bp3-form-group.bp3-intent-success .bp3-form-helper-text{\n    color:#0d8050; }\n  .bp3-form-group.bp3-intent-warning .bp3-form-helper-text{\n    color:#bf7326; }\n  .bp3-form-group.bp3-intent-danger .bp3-form-helper-text{\n    color:#c23030; }\n  .bp3-form-group.bp3-inline{\n    -webkit-box-align:start;\n        -ms-flex-align:start;\n            align-items:flex-start;\n    -webkit-box-orient:horizontal;\n    -webkit-box-direction:normal;\n        -ms-flex-direction:row;\n            flex-direction:row; }\n    .bp3-form-group.bp3-inline.bp3-large label.bp3-label{\n      line-height:40px;\n      margin:0 10px 0 0; }\n    .bp3-form-group.bp3-inline label.bp3-label{\n      line-height:30px;\n      margin:0 10px 0 0; }\n  .bp3-form-group.bp3-disabled .bp3-label,\n  .bp3-form-group.bp3-disabled .bp3-text-muted,\n  .bp3-form-group.bp3-disabled .bp3-form-helper-text{\n    color:rgba(92, 112, 128, 0.6) !important; }\n  .bp3-dark .bp3-form-group.bp3-intent-primary .bp3-form-helper-text{\n    color:#48aff0; }\n  .bp3-dark .bp3-form-group.bp3-intent-success .bp3-form-helper-text{\n    color:#3dcc91; }\n  .bp3-dark .bp3-form-group.bp3-intent-warning .bp3-form-helper-text{\n    color:#ffb366; }\n  .bp3-dark .bp3-form-group.bp3-intent-danger .bp3-form-helper-text{\n    color:#ff7373; }\n  .bp3-dark .bp3-form-group .bp3-form-helper-text{\n    color:#a7b6c2; }\n  .bp3-dark .bp3-form-group.bp3-disabled .bp3-label,\n  .bp3-dark .bp3-form-group.bp3-disabled .bp3-text-muted,\n  .bp3-dark .bp3-form-group.bp3-disabled .bp3-form-helper-text{\n    color:rgba(167, 182, 194, 0.6) !important; }\n.bp3-input-group{\n  display:block;\n  position:relative; }\n  .bp3-input-group .bp3-input{\n    position:relative;\n    width:100%; }\n    .bp3-input-group .bp3-input:not(:first-child){\n      padding-left:30px; }\n    .bp3-input-group .bp3-input:not(:last-child){\n      padding-right:30px; }\n  .bp3-input-group .bp3-input-action,\n  .bp3-input-group > .bp3-input-left-container,\n  .bp3-input-group > .bp3-button,\n  .bp3-input-group > .bp3-icon{\n    position:absolute;\n    top:0; }\n    .bp3-input-group .bp3-input-action:first-child,\n    .bp3-input-group > .bp3-input-left-container:first-child,\n    .bp3-input-group > .bp3-button:first-child,\n    .bp3-input-group > .bp3-icon:first-child{\n      left:0; }\n    .bp3-input-group .bp3-input-action:last-child,\n    .bp3-input-group > .bp3-input-left-container:last-child,\n    .bp3-input-group > .bp3-button:last-child,\n    .bp3-input-group > .bp3-icon:last-child{\n      right:0; }\n  .bp3-input-group .bp3-button{\n    min-height:24px;\n    min-width:24px;\n    margin:3px;\n    padding:0 7px; }\n    .bp3-input-group .bp3-button:empty{\n      padding:0; }\n  .bp3-input-group > .bp3-input-left-container,\n  .bp3-input-group > .bp3-icon{\n    z-index:1; }\n  .bp3-input-group > .bp3-input-left-container > .bp3-icon,\n  .bp3-input-group > .bp3-icon{\n    color:#5c7080; }\n    .bp3-input-group > .bp3-input-left-container > .bp3-icon:empty,\n    .bp3-input-group > .bp3-icon:empty{\n      font-family:\"Icons16\", sans-serif;\n      font-size:16px;\n      font-style:normal;\n      font-weight:400;\n      line-height:1;\n      -moz-osx-font-smoothing:grayscale;\n      -webkit-font-smoothing:antialiased; }\n  .bp3-input-group > .bp3-input-left-container > .bp3-icon,\n  .bp3-input-group > .bp3-icon,\n  .bp3-input-group .bp3-input-action > .bp3-spinner{\n    margin:7px; }\n  .bp3-input-group .bp3-tag{\n    margin:5px; }\n  .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:not(:hover):not(:focus),\n  .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:not(:hover):not(:focus){\n    color:#5c7080; }\n    .bp3-dark .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:not(:hover):not(:focus), .bp3-dark\n    .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:not(:hover):not(:focus){\n      color:#a7b6c2; }\n    .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:not(:hover):not(:focus) .bp3-icon, .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:not(:hover):not(:focus) .bp3-icon-standard, .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:not(:hover):not(:focus) .bp3-icon-large,\n    .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:not(:hover):not(:focus) .bp3-icon,\n    .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:not(:hover):not(:focus) .bp3-icon-standard,\n    .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:not(:hover):not(:focus) .bp3-icon-large{\n      color:#5c7080; }\n  .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:disabled,\n  .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:disabled{\n    color:rgba(92, 112, 128, 0.6) !important; }\n    .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:disabled .bp3-icon, .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:disabled .bp3-icon-standard, .bp3-input-group .bp3-input:not(:focus) + .bp3-button.bp3-minimal:disabled .bp3-icon-large,\n    .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:disabled .bp3-icon,\n    .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:disabled .bp3-icon-standard,\n    .bp3-input-group .bp3-input:not(:focus) + .bp3-input-action .bp3-button.bp3-minimal:disabled .bp3-icon-large{\n      color:rgba(92, 112, 128, 0.6) !important; }\n  .bp3-input-group.bp3-disabled{\n    cursor:not-allowed; }\n    .bp3-input-group.bp3-disabled .bp3-icon{\n      color:rgba(92, 112, 128, 0.6); }\n  .bp3-input-group.bp3-large .bp3-button{\n    min-height:30px;\n    min-width:30px;\n    margin:5px; }\n  .bp3-input-group.bp3-large > .bp3-input-left-container > .bp3-icon,\n  .bp3-input-group.bp3-large > .bp3-icon,\n  .bp3-input-group.bp3-large .bp3-input-action > .bp3-spinner{\n    margin:12px; }\n  .bp3-input-group.bp3-large .bp3-input{\n    font-size:16px;\n    height:40px;\n    line-height:40px; }\n    .bp3-input-group.bp3-large .bp3-input[type=\"search\"], .bp3-input-group.bp3-large .bp3-input.bp3-round{\n      padding:0 15px; }\n    .bp3-input-group.bp3-large .bp3-input:not(:first-child){\n      padding-left:40px; }\n    .bp3-input-group.bp3-large .bp3-input:not(:last-child){\n      padding-right:40px; }\n  .bp3-input-group.bp3-small .bp3-button{\n    min-height:20px;\n    min-width:20px;\n    margin:2px; }\n  .bp3-input-group.bp3-small .bp3-tag{\n    min-height:20px;\n    min-width:20px;\n    margin:2px; }\n  .bp3-input-group.bp3-small > .bp3-input-left-container > .bp3-icon,\n  .bp3-input-group.bp3-small > .bp3-icon,\n  .bp3-input-group.bp3-small .bp3-input-action > .bp3-spinner{\n    margin:4px; }\n  .bp3-input-group.bp3-small .bp3-input{\n    font-size:12px;\n    height:24px;\n    line-height:24px;\n    padding-left:8px;\n    padding-right:8px; }\n    .bp3-input-group.bp3-small .bp3-input[type=\"search\"], .bp3-input-group.bp3-small .bp3-input.bp3-round{\n      padding:0 12px; }\n    .bp3-input-group.bp3-small .bp3-input:not(:first-child){\n      padding-left:24px; }\n    .bp3-input-group.bp3-small .bp3-input:not(:last-child){\n      padding-right:24px; }\n  .bp3-input-group.bp3-fill{\n    -webkit-box-flex:1;\n        -ms-flex:1 1 auto;\n            flex:1 1 auto;\n    width:100%; }\n  .bp3-input-group.bp3-round .bp3-button,\n  .bp3-input-group.bp3-round .bp3-input,\n  .bp3-input-group.bp3-round .bp3-tag{\n    border-radius:30px; }\n  .bp3-dark .bp3-input-group .bp3-icon{\n    color:#a7b6c2; }\n  .bp3-dark .bp3-input-group.bp3-disabled .bp3-icon{\n    color:rgba(167, 182, 194, 0.6); }\n  .bp3-input-group.bp3-intent-primary .bp3-input{\n    -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px #137cbd, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n            box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px #137cbd, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n    .bp3-input-group.bp3-intent-primary .bp3-input:focus{\n      -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n              box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n    .bp3-input-group.bp3-intent-primary .bp3-input[readonly]{\n      -webkit-box-shadow:inset 0 0 0 1px #137cbd;\n              box-shadow:inset 0 0 0 1px #137cbd; }\n    .bp3-input-group.bp3-intent-primary .bp3-input:disabled, .bp3-input-group.bp3-intent-primary .bp3-input.bp3-disabled{\n      -webkit-box-shadow:none;\n              box-shadow:none; }\n  .bp3-input-group.bp3-intent-primary > .bp3-icon{\n    color:#106ba3; }\n    .bp3-dark .bp3-input-group.bp3-intent-primary > .bp3-icon{\n      color:#48aff0; }\n  .bp3-input-group.bp3-intent-success .bp3-input{\n    -webkit-box-shadow:0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), inset 0 0 0 1px #0f9960, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n            box-shadow:0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), inset 0 0 0 1px #0f9960, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n    .bp3-input-group.bp3-intent-success .bp3-input:focus{\n      -webkit-box-shadow:0 0 0 1px #0f9960, 0 0 0 3px rgba(15, 153, 96, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n              box-shadow:0 0 0 1px #0f9960, 0 0 0 3px rgba(15, 153, 96, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n    .bp3-input-group.bp3-intent-success .bp3-input[readonly]{\n      -webkit-box-shadow:inset 0 0 0 1px #0f9960;\n              box-shadow:inset 0 0 0 1px #0f9960; }\n    .bp3-input-group.bp3-intent-success .bp3-input:disabled, .bp3-input-group.bp3-intent-success .bp3-input.bp3-disabled{\n      -webkit-box-shadow:none;\n              box-shadow:none; }\n  .bp3-input-group.bp3-intent-success > .bp3-icon{\n    color:#0d8050; }\n    .bp3-dark .bp3-input-group.bp3-intent-success > .bp3-icon{\n      color:#3dcc91; }\n  .bp3-input-group.bp3-intent-warning .bp3-input{\n    -webkit-box-shadow:0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), inset 0 0 0 1px #d9822b, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n            box-shadow:0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), inset 0 0 0 1px #d9822b, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n    .bp3-input-group.bp3-intent-warning .bp3-input:focus{\n      -webkit-box-shadow:0 0 0 1px #d9822b, 0 0 0 3px rgba(217, 130, 43, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n              box-shadow:0 0 0 1px #d9822b, 0 0 0 3px rgba(217, 130, 43, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n    .bp3-input-group.bp3-intent-warning .bp3-input[readonly]{\n      -webkit-box-shadow:inset 0 0 0 1px #d9822b;\n              box-shadow:inset 0 0 0 1px #d9822b; }\n    .bp3-input-group.bp3-intent-warning .bp3-input:disabled, .bp3-input-group.bp3-intent-warning .bp3-input.bp3-disabled{\n      -webkit-box-shadow:none;\n              box-shadow:none; }\n  .bp3-input-group.bp3-intent-warning > .bp3-icon{\n    color:#bf7326; }\n    .bp3-dark .bp3-input-group.bp3-intent-warning > .bp3-icon{\n      color:#ffb366; }\n  .bp3-input-group.bp3-intent-danger .bp3-input{\n    -webkit-box-shadow:0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), inset 0 0 0 1px #db3737, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n            box-shadow:0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), inset 0 0 0 1px #db3737, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n    .bp3-input-group.bp3-intent-danger .bp3-input:focus{\n      -webkit-box-shadow:0 0 0 1px #db3737, 0 0 0 3px rgba(219, 55, 55, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n              box-shadow:0 0 0 1px #db3737, 0 0 0 3px rgba(219, 55, 55, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n    .bp3-input-group.bp3-intent-danger .bp3-input[readonly]{\n      -webkit-box-shadow:inset 0 0 0 1px #db3737;\n              box-shadow:inset 0 0 0 1px #db3737; }\n    .bp3-input-group.bp3-intent-danger .bp3-input:disabled, .bp3-input-group.bp3-intent-danger .bp3-input.bp3-disabled{\n      -webkit-box-shadow:none;\n              box-shadow:none; }\n  .bp3-input-group.bp3-intent-danger > .bp3-icon{\n    color:#c23030; }\n    .bp3-dark .bp3-input-group.bp3-intent-danger > .bp3-icon{\n      color:#ff7373; }\n.bp3-input{\n  -webkit-appearance:none;\n     -moz-appearance:none;\n          appearance:none;\n  background:#ffffff;\n  border:none;\n  border-radius:3px;\n  -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n          box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n  color:#182026;\n  font-size:14px;\n  font-weight:400;\n  height:30px;\n  line-height:30px;\n  outline:none;\n  padding:0 10px;\n  -webkit-transition:-webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);\n  transition:-webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);\n  transition:box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);\n  transition:box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-box-shadow 100ms cubic-bezier(0.4, 1, 0.75, 0.9);\n  vertical-align:middle; }\n  .bp3-input::-webkit-input-placeholder{\n    color:rgba(92, 112, 128, 0.6);\n    opacity:1; }\n  .bp3-input::-moz-placeholder{\n    color:rgba(92, 112, 128, 0.6);\n    opacity:1; }\n  .bp3-input:-ms-input-placeholder{\n    color:rgba(92, 112, 128, 0.6);\n    opacity:1; }\n  .bp3-input::-ms-input-placeholder{\n    color:rgba(92, 112, 128, 0.6);\n    opacity:1; }\n  .bp3-input::placeholder{\n    color:rgba(92, 112, 128, 0.6);\n    opacity:1; }\n  .bp3-input:focus, .bp3-input.bp3-active{\n    -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n            box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n  .bp3-input[type=\"search\"], .bp3-input.bp3-round{\n    border-radius:30px;\n    -webkit-box-sizing:border-box;\n            box-sizing:border-box;\n    padding-left:10px; }\n  .bp3-input[readonly]{\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.15);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.15); }\n  .bp3-input:disabled, .bp3-input.bp3-disabled{\n    background:rgba(206, 217, 224, 0.5);\n    -webkit-box-shadow:none;\n            box-shadow:none;\n    color:rgba(92, 112, 128, 0.6);\n    cursor:not-allowed;\n    resize:none; }\n  .bp3-input.bp3-large{\n    font-size:16px;\n    height:40px;\n    line-height:40px; }\n    .bp3-input.bp3-large[type=\"search\"], .bp3-input.bp3-large.bp3-round{\n      padding:0 15px; }\n  .bp3-input.bp3-small{\n    font-size:12px;\n    height:24px;\n    line-height:24px;\n    padding-left:8px;\n    padding-right:8px; }\n    .bp3-input.bp3-small[type=\"search\"], .bp3-input.bp3-small.bp3-round{\n      padding:0 12px; }\n  .bp3-input.bp3-fill{\n    -webkit-box-flex:1;\n        -ms-flex:1 1 auto;\n            flex:1 1 auto;\n    width:100%; }\n  .bp3-dark .bp3-input{\n    background:rgba(16, 22, 26, 0.3);\n    -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n    color:#f5f8fa; }\n    .bp3-dark .bp3-input::-webkit-input-placeholder{\n      color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark .bp3-input::-moz-placeholder{\n      color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark .bp3-input:-ms-input-placeholder{\n      color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark .bp3-input::-ms-input-placeholder{\n      color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark .bp3-input::placeholder{\n      color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark .bp3-input:focus{\n      -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n              box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }\n    .bp3-dark .bp3-input[readonly]{\n      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);\n              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4); }\n    .bp3-dark .bp3-input:disabled, .bp3-dark .bp3-input.bp3-disabled{\n      background:rgba(57, 75, 89, 0.5);\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:rgba(167, 182, 194, 0.6); }\n  .bp3-input.bp3-intent-primary{\n    -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px #137cbd, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n            box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px #137cbd, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n    .bp3-input.bp3-intent-primary:focus{\n      -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n              box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n    .bp3-input.bp3-intent-primary[readonly]{\n      -webkit-box-shadow:inset 0 0 0 1px #137cbd;\n              box-shadow:inset 0 0 0 1px #137cbd; }\n    .bp3-input.bp3-intent-primary:disabled, .bp3-input.bp3-intent-primary.bp3-disabled{\n      -webkit-box-shadow:none;\n              box-shadow:none; }\n    .bp3-dark .bp3-input.bp3-intent-primary{\n      -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px #137cbd, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n              box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px #137cbd, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }\n      .bp3-dark .bp3-input.bp3-intent-primary:focus{\n        -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n                box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }\n      .bp3-dark .bp3-input.bp3-intent-primary[readonly]{\n        -webkit-box-shadow:inset 0 0 0 1px #137cbd;\n                box-shadow:inset 0 0 0 1px #137cbd; }\n      .bp3-dark .bp3-input.bp3-intent-primary:disabled, .bp3-dark .bp3-input.bp3-intent-primary.bp3-disabled{\n        -webkit-box-shadow:none;\n                box-shadow:none; }\n  .bp3-input.bp3-intent-success{\n    -webkit-box-shadow:0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), inset 0 0 0 1px #0f9960, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n            box-shadow:0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), inset 0 0 0 1px #0f9960, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n    .bp3-input.bp3-intent-success:focus{\n      -webkit-box-shadow:0 0 0 1px #0f9960, 0 0 0 3px rgba(15, 153, 96, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n              box-shadow:0 0 0 1px #0f9960, 0 0 0 3px rgba(15, 153, 96, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n    .bp3-input.bp3-intent-success[readonly]{\n      -webkit-box-shadow:inset 0 0 0 1px #0f9960;\n              box-shadow:inset 0 0 0 1px #0f9960; }\n    .bp3-input.bp3-intent-success:disabled, .bp3-input.bp3-intent-success.bp3-disabled{\n      -webkit-box-shadow:none;\n              box-shadow:none; }\n    .bp3-dark .bp3-input.bp3-intent-success{\n      -webkit-box-shadow:0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), inset 0 0 0 1px #0f9960, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n              box-shadow:0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), 0 0 0 0 rgba(15, 153, 96, 0), inset 0 0 0 1px #0f9960, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }\n      .bp3-dark .bp3-input.bp3-intent-success:focus{\n        -webkit-box-shadow:0 0 0 1px #0f9960, 0 0 0 1px #0f9960, 0 0 0 3px rgba(15, 153, 96, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n                box-shadow:0 0 0 1px #0f9960, 0 0 0 1px #0f9960, 0 0 0 3px rgba(15, 153, 96, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }\n      .bp3-dark .bp3-input.bp3-intent-success[readonly]{\n        -webkit-box-shadow:inset 0 0 0 1px #0f9960;\n                box-shadow:inset 0 0 0 1px #0f9960; }\n      .bp3-dark .bp3-input.bp3-intent-success:disabled, .bp3-dark .bp3-input.bp3-intent-success.bp3-disabled{\n        -webkit-box-shadow:none;\n                box-shadow:none; }\n  .bp3-input.bp3-intent-warning{\n    -webkit-box-shadow:0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), inset 0 0 0 1px #d9822b, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n            box-shadow:0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), inset 0 0 0 1px #d9822b, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n    .bp3-input.bp3-intent-warning:focus{\n      -webkit-box-shadow:0 0 0 1px #d9822b, 0 0 0 3px rgba(217, 130, 43, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n              box-shadow:0 0 0 1px #d9822b, 0 0 0 3px rgba(217, 130, 43, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n    .bp3-input.bp3-intent-warning[readonly]{\n      -webkit-box-shadow:inset 0 0 0 1px #d9822b;\n              box-shadow:inset 0 0 0 1px #d9822b; }\n    .bp3-input.bp3-intent-warning:disabled, .bp3-input.bp3-intent-warning.bp3-disabled{\n      -webkit-box-shadow:none;\n              box-shadow:none; }\n    .bp3-dark .bp3-input.bp3-intent-warning{\n      -webkit-box-shadow:0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), inset 0 0 0 1px #d9822b, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n              box-shadow:0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), 0 0 0 0 rgba(217, 130, 43, 0), inset 0 0 0 1px #d9822b, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }\n      .bp3-dark .bp3-input.bp3-intent-warning:focus{\n        -webkit-box-shadow:0 0 0 1px #d9822b, 0 0 0 1px #d9822b, 0 0 0 3px rgba(217, 130, 43, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n                box-shadow:0 0 0 1px #d9822b, 0 0 0 1px #d9822b, 0 0 0 3px rgba(217, 130, 43, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }\n      .bp3-dark .bp3-input.bp3-intent-warning[readonly]{\n        -webkit-box-shadow:inset 0 0 0 1px #d9822b;\n                box-shadow:inset 0 0 0 1px #d9822b; }\n      .bp3-dark .bp3-input.bp3-intent-warning:disabled, .bp3-dark .bp3-input.bp3-intent-warning.bp3-disabled{\n        -webkit-box-shadow:none;\n                box-shadow:none; }\n  .bp3-input.bp3-intent-danger{\n    -webkit-box-shadow:0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), inset 0 0 0 1px #db3737, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n            box-shadow:0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), inset 0 0 0 1px #db3737, inset 0 0 0 1px rgba(16, 22, 26, 0.15), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n    .bp3-input.bp3-intent-danger:focus{\n      -webkit-box-shadow:0 0 0 1px #db3737, 0 0 0 3px rgba(219, 55, 55, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n              box-shadow:0 0 0 1px #db3737, 0 0 0 3px rgba(219, 55, 55, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n    .bp3-input.bp3-intent-danger[readonly]{\n      -webkit-box-shadow:inset 0 0 0 1px #db3737;\n              box-shadow:inset 0 0 0 1px #db3737; }\n    .bp3-input.bp3-intent-danger:disabled, .bp3-input.bp3-intent-danger.bp3-disabled{\n      -webkit-box-shadow:none;\n              box-shadow:none; }\n    .bp3-dark .bp3-input.bp3-intent-danger{\n      -webkit-box-shadow:0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), inset 0 0 0 1px #db3737, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n              box-shadow:0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), 0 0 0 0 rgba(219, 55, 55, 0), inset 0 0 0 1px #db3737, inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }\n      .bp3-dark .bp3-input.bp3-intent-danger:focus{\n        -webkit-box-shadow:0 0 0 1px #db3737, 0 0 0 1px #db3737, 0 0 0 3px rgba(219, 55, 55, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n                box-shadow:0 0 0 1px #db3737, 0 0 0 1px #db3737, 0 0 0 3px rgba(219, 55, 55, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }\n      .bp3-dark .bp3-input.bp3-intent-danger[readonly]{\n        -webkit-box-shadow:inset 0 0 0 1px #db3737;\n                box-shadow:inset 0 0 0 1px #db3737; }\n      .bp3-dark .bp3-input.bp3-intent-danger:disabled, .bp3-dark .bp3-input.bp3-intent-danger.bp3-disabled{\n        -webkit-box-shadow:none;\n                box-shadow:none; }\n  .bp3-input::-ms-clear{\n    display:none; }\ntextarea.bp3-input{\n  max-width:100%;\n  padding:10px; }\n  textarea.bp3-input, textarea.bp3-input.bp3-large, textarea.bp3-input.bp3-small{\n    height:auto;\n    line-height:inherit; }\n  textarea.bp3-input.bp3-small{\n    padding:8px; }\n  .bp3-dark textarea.bp3-input{\n    background:rgba(16, 22, 26, 0.3);\n    -webkit-box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), 0 0 0 0 rgba(19, 124, 189, 0), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n    color:#f5f8fa; }\n    .bp3-dark textarea.bp3-input::-webkit-input-placeholder{\n      color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark textarea.bp3-input::-moz-placeholder{\n      color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark textarea.bp3-input:-ms-input-placeholder{\n      color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark textarea.bp3-input::-ms-input-placeholder{\n      color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark textarea.bp3-input::placeholder{\n      color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark textarea.bp3-input:focus{\n      -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n              box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }\n    .bp3-dark textarea.bp3-input[readonly]{\n      -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4);\n              box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.4); }\n    .bp3-dark textarea.bp3-input:disabled, .bp3-dark textarea.bp3-input.bp3-disabled{\n      background:rgba(57, 75, 89, 0.5);\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:rgba(167, 182, 194, 0.6); }\nlabel.bp3-label{\n  display:block;\n  margin-bottom:15px;\n  margin-top:0; }\n  label.bp3-label .bp3-html-select,\n  label.bp3-label .bp3-input,\n  label.bp3-label .bp3-select,\n  label.bp3-label .bp3-slider,\n  label.bp3-label .bp3-popover-wrapper{\n    display:block;\n    margin-top:5px;\n    text-transform:none; }\n  label.bp3-label .bp3-button-group{\n    margin-top:5px; }\n  label.bp3-label .bp3-select select,\n  label.bp3-label .bp3-html-select select{\n    font-weight:400;\n    vertical-align:top;\n    width:100%; }\n  label.bp3-label.bp3-disabled,\n  label.bp3-label.bp3-disabled .bp3-text-muted{\n    color:rgba(92, 112, 128, 0.6); }\n  label.bp3-label.bp3-inline{\n    line-height:30px; }\n    label.bp3-label.bp3-inline .bp3-html-select,\n    label.bp3-label.bp3-inline .bp3-input,\n    label.bp3-label.bp3-inline .bp3-input-group,\n    label.bp3-label.bp3-inline .bp3-select,\n    label.bp3-label.bp3-inline .bp3-popover-wrapper{\n      display:inline-block;\n      margin:0 0 0 5px;\n      vertical-align:top; }\n    label.bp3-label.bp3-inline .bp3-button-group{\n      margin:0 0 0 5px; }\n    label.bp3-label.bp3-inline .bp3-input-group .bp3-input{\n      margin-left:0; }\n    label.bp3-label.bp3-inline.bp3-large{\n      line-height:40px; }\n  label.bp3-label:not(.bp3-inline) .bp3-popover-target{\n    display:block; }\n  .bp3-dark label.bp3-label{\n    color:#f5f8fa; }\n    .bp3-dark label.bp3-label.bp3-disabled,\n    .bp3-dark label.bp3-label.bp3-disabled .bp3-text-muted{\n      color:rgba(167, 182, 194, 0.6); }\n.bp3-numeric-input .bp3-button-group.bp3-vertical > .bp3-button{\n  -webkit-box-flex:1;\n      -ms-flex:1 1 14px;\n          flex:1 1 14px;\n  min-height:0;\n  padding:0;\n  width:30px; }\n  .bp3-numeric-input .bp3-button-group.bp3-vertical > .bp3-button:first-child{\n    border-radius:0 3px 0 0; }\n  .bp3-numeric-input .bp3-button-group.bp3-vertical > .bp3-button:last-child{\n    border-radius:0 0 3px 0; }\n\n.bp3-numeric-input .bp3-button-group.bp3-vertical:first-child > .bp3-button:first-child{\n  border-radius:3px 0 0 0; }\n\n.bp3-numeric-input .bp3-button-group.bp3-vertical:first-child > .bp3-button:last-child{\n  border-radius:0 0 0 3px; }\n\n.bp3-numeric-input.bp3-large .bp3-button-group.bp3-vertical > .bp3-button{\n  width:40px; }\n\nform{\n  display:block; }\n.bp3-html-select select,\n.bp3-select select{\n  display:-webkit-inline-box;\n  display:-ms-inline-flexbox;\n  display:inline-flex;\n  -webkit-box-orient:horizontal;\n  -webkit-box-direction:normal;\n      -ms-flex-direction:row;\n          flex-direction:row;\n  -webkit-box-align:center;\n      -ms-flex-align:center;\n          align-items:center;\n  border:none;\n  border-radius:3px;\n  cursor:pointer;\n  font-size:14px;\n  -webkit-box-pack:center;\n      -ms-flex-pack:center;\n          justify-content:center;\n  padding:5px 10px;\n  text-align:left;\n  vertical-align:middle;\n  background-color:#f5f8fa;\n  background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.8)), to(rgba(255, 255, 255, 0)));\n  background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.8), rgba(255, 255, 255, 0));\n  -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);\n          box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);\n  color:#182026;\n  -moz-appearance:none;\n  -webkit-appearance:none;\n  border-radius:3px;\n  height:30px;\n  padding:0 25px 0 10px;\n  width:100%; }\n  .bp3-html-select select > *, .bp3-select select > *{\n    -webkit-box-flex:0;\n        -ms-flex-positive:0;\n            flex-grow:0;\n    -ms-flex-negative:0;\n        flex-shrink:0; }\n  .bp3-html-select select > .bp3-fill, .bp3-select select > .bp3-fill{\n    -webkit-box-flex:1;\n        -ms-flex-positive:1;\n            flex-grow:1;\n    -ms-flex-negative:1;\n        flex-shrink:1; }\n  .bp3-html-select select::before,\n  .bp3-select select::before, .bp3-html-select select > *, .bp3-select select > *{\n    margin-right:7px; }\n  .bp3-html-select select:empty::before,\n  .bp3-select select:empty::before,\n  .bp3-html-select select > :last-child,\n  .bp3-select select > :last-child{\n    margin-right:0; }\n  .bp3-html-select select:hover,\n  .bp3-select select:hover{\n    background-clip:padding-box;\n    background-color:#ebf1f5;\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1); }\n  .bp3-html-select select:active,\n  .bp3-select select:active, .bp3-html-select select.bp3-active,\n  .bp3-select select.bp3-active{\n    background-color:#d8e1e8;\n    background-image:none;\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2); }\n  .bp3-html-select select:disabled,\n  .bp3-select select:disabled, .bp3-html-select select.bp3-disabled,\n  .bp3-select select.bp3-disabled{\n    background-color:rgba(206, 217, 224, 0.5);\n    background-image:none;\n    -webkit-box-shadow:none;\n            box-shadow:none;\n    color:rgba(92, 112, 128, 0.6);\n    cursor:not-allowed;\n    outline:none; }\n    .bp3-html-select select:disabled.bp3-active,\n    .bp3-select select:disabled.bp3-active, .bp3-html-select select:disabled.bp3-active:hover,\n    .bp3-select select:disabled.bp3-active:hover, .bp3-html-select select.bp3-disabled.bp3-active,\n    .bp3-select select.bp3-disabled.bp3-active, .bp3-html-select select.bp3-disabled.bp3-active:hover,\n    .bp3-select select.bp3-disabled.bp3-active:hover{\n      background:rgba(206, 217, 224, 0.7); }\n\n.bp3-html-select.bp3-minimal select,\n.bp3-select.bp3-minimal select{\n  background:none;\n  -webkit-box-shadow:none;\n          box-shadow:none; }\n  .bp3-html-select.bp3-minimal select:hover,\n  .bp3-select.bp3-minimal select:hover{\n    background:rgba(167, 182, 194, 0.3);\n    -webkit-box-shadow:none;\n            box-shadow:none;\n    color:#182026;\n    text-decoration:none; }\n  .bp3-html-select.bp3-minimal select:active,\n  .bp3-select.bp3-minimal select:active, .bp3-html-select.bp3-minimal select.bp3-active,\n  .bp3-select.bp3-minimal select.bp3-active{\n    background:rgba(115, 134, 148, 0.3);\n    -webkit-box-shadow:none;\n            box-shadow:none;\n    color:#182026; }\n  .bp3-html-select.bp3-minimal select:disabled,\n  .bp3-select.bp3-minimal select:disabled, .bp3-html-select.bp3-minimal select:disabled:hover,\n  .bp3-select.bp3-minimal select:disabled:hover, .bp3-html-select.bp3-minimal select.bp3-disabled,\n  .bp3-select.bp3-minimal select.bp3-disabled, .bp3-html-select.bp3-minimal select.bp3-disabled:hover,\n  .bp3-select.bp3-minimal select.bp3-disabled:hover{\n    background:none;\n    color:rgba(92, 112, 128, 0.6);\n    cursor:not-allowed; }\n    .bp3-html-select.bp3-minimal select:disabled.bp3-active,\n    .bp3-select.bp3-minimal select:disabled.bp3-active, .bp3-html-select.bp3-minimal select:disabled:hover.bp3-active,\n    .bp3-select.bp3-minimal select:disabled:hover.bp3-active, .bp3-html-select.bp3-minimal select.bp3-disabled.bp3-active,\n    .bp3-select.bp3-minimal select.bp3-disabled.bp3-active, .bp3-html-select.bp3-minimal select.bp3-disabled:hover.bp3-active,\n    .bp3-select.bp3-minimal select.bp3-disabled:hover.bp3-active{\n      background:rgba(115, 134, 148, 0.3); }\n  .bp3-dark .bp3-html-select.bp3-minimal select, .bp3-html-select.bp3-minimal .bp3-dark select,\n  .bp3-dark .bp3-select.bp3-minimal select, .bp3-select.bp3-minimal .bp3-dark select{\n    background:none;\n    -webkit-box-shadow:none;\n            box-shadow:none;\n    color:inherit; }\n    .bp3-dark .bp3-html-select.bp3-minimal select:hover, .bp3-html-select.bp3-minimal .bp3-dark select:hover,\n    .bp3-dark .bp3-select.bp3-minimal select:hover, .bp3-select.bp3-minimal .bp3-dark select:hover, .bp3-dark .bp3-html-select.bp3-minimal select:active, .bp3-html-select.bp3-minimal .bp3-dark select:active,\n    .bp3-dark .bp3-select.bp3-minimal select:active, .bp3-select.bp3-minimal .bp3-dark select:active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-active,\n    .bp3-dark .bp3-select.bp3-minimal select.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-active{\n      background:none;\n      -webkit-box-shadow:none;\n              box-shadow:none; }\n    .bp3-dark .bp3-html-select.bp3-minimal select:hover, .bp3-html-select.bp3-minimal .bp3-dark select:hover,\n    .bp3-dark .bp3-select.bp3-minimal select:hover, .bp3-select.bp3-minimal .bp3-dark select:hover{\n      background:rgba(138, 155, 168, 0.15); }\n    .bp3-dark .bp3-html-select.bp3-minimal select:active, .bp3-html-select.bp3-minimal .bp3-dark select:active,\n    .bp3-dark .bp3-select.bp3-minimal select:active, .bp3-select.bp3-minimal .bp3-dark select:active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-active,\n    .bp3-dark .bp3-select.bp3-minimal select.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-active{\n      background:rgba(138, 155, 168, 0.3);\n      color:#f5f8fa; }\n    .bp3-dark .bp3-html-select.bp3-minimal select:disabled, .bp3-html-select.bp3-minimal .bp3-dark select:disabled,\n    .bp3-dark .bp3-select.bp3-minimal select:disabled, .bp3-select.bp3-minimal .bp3-dark select:disabled, .bp3-dark .bp3-html-select.bp3-minimal select:disabled:hover, .bp3-html-select.bp3-minimal .bp3-dark select:disabled:hover,\n    .bp3-dark .bp3-select.bp3-minimal select:disabled:hover, .bp3-select.bp3-minimal .bp3-dark select:disabled:hover, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-disabled,\n    .bp3-dark .bp3-select.bp3-minimal select.bp3-disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-disabled, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-disabled:hover, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-disabled:hover,\n    .bp3-dark .bp3-select.bp3-minimal select.bp3-disabled:hover, .bp3-select.bp3-minimal .bp3-dark select.bp3-disabled:hover{\n      background:none;\n      color:rgba(167, 182, 194, 0.6);\n      cursor:not-allowed; }\n      .bp3-dark .bp3-html-select.bp3-minimal select:disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select:disabled.bp3-active,\n      .bp3-dark .bp3-select.bp3-minimal select:disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select:disabled.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select:disabled:hover.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select:disabled:hover.bp3-active,\n      .bp3-dark .bp3-select.bp3-minimal select:disabled:hover.bp3-active, .bp3-select.bp3-minimal .bp3-dark select:disabled:hover.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-disabled.bp3-active,\n      .bp3-dark .bp3-select.bp3-minimal select.bp3-disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-disabled.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-disabled:hover.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-disabled:hover.bp3-active,\n      .bp3-dark .bp3-select.bp3-minimal select.bp3-disabled:hover.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-disabled:hover.bp3-active{\n        background:rgba(138, 155, 168, 0.3); }\n  .bp3-html-select.bp3-minimal select.bp3-intent-primary,\n  .bp3-select.bp3-minimal select.bp3-intent-primary{\n    color:#106ba3; }\n    .bp3-html-select.bp3-minimal select.bp3-intent-primary:hover,\n    .bp3-select.bp3-minimal select.bp3-intent-primary:hover, .bp3-html-select.bp3-minimal select.bp3-intent-primary:active,\n    .bp3-select.bp3-minimal select.bp3-intent-primary:active, .bp3-html-select.bp3-minimal select.bp3-intent-primary.bp3-active,\n    .bp3-select.bp3-minimal select.bp3-intent-primary.bp3-active{\n      background:none;\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:#106ba3; }\n    .bp3-html-select.bp3-minimal select.bp3-intent-primary:hover,\n    .bp3-select.bp3-minimal select.bp3-intent-primary:hover{\n      background:rgba(19, 124, 189, 0.15);\n      color:#106ba3; }\n    .bp3-html-select.bp3-minimal select.bp3-intent-primary:active,\n    .bp3-select.bp3-minimal select.bp3-intent-primary:active, .bp3-html-select.bp3-minimal select.bp3-intent-primary.bp3-active,\n    .bp3-select.bp3-minimal select.bp3-intent-primary.bp3-active{\n      background:rgba(19, 124, 189, 0.3);\n      color:#106ba3; }\n    .bp3-html-select.bp3-minimal select.bp3-intent-primary:disabled,\n    .bp3-select.bp3-minimal select.bp3-intent-primary:disabled, .bp3-html-select.bp3-minimal select.bp3-intent-primary.bp3-disabled,\n    .bp3-select.bp3-minimal select.bp3-intent-primary.bp3-disabled{\n      background:none;\n      color:rgba(16, 107, 163, 0.5); }\n      .bp3-html-select.bp3-minimal select.bp3-intent-primary:disabled.bp3-active,\n      .bp3-select.bp3-minimal select.bp3-intent-primary:disabled.bp3-active, .bp3-html-select.bp3-minimal select.bp3-intent-primary.bp3-disabled.bp3-active,\n      .bp3-select.bp3-minimal select.bp3-intent-primary.bp3-disabled.bp3-active{\n        background:rgba(19, 124, 189, 0.3); }\n    .bp3-html-select.bp3-minimal select.bp3-intent-primary .bp3-button-spinner .bp3-spinner-head, .bp3-select.bp3-minimal select.bp3-intent-primary .bp3-button-spinner .bp3-spinner-head{\n      stroke:#106ba3; }\n    .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary,\n    .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary{\n      color:#48aff0; }\n      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary:hover, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary:hover,\n      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary:hover, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary:hover{\n        background:rgba(19, 124, 189, 0.2);\n        color:#48aff0; }\n      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary:active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary:active,\n      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary:active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary:active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary.bp3-active,\n      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary.bp3-active{\n        background:rgba(19, 124, 189, 0.3);\n        color:#48aff0; }\n      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary:disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary:disabled,\n      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary:disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary:disabled, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary.bp3-disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary.bp3-disabled,\n      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary.bp3-disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary.bp3-disabled{\n        background:none;\n        color:rgba(72, 175, 240, 0.5); }\n        .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary:disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary:disabled.bp3-active,\n        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary:disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary:disabled.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-primary.bp3-disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-primary.bp3-disabled.bp3-active,\n        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-primary.bp3-disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-primary.bp3-disabled.bp3-active{\n          background:rgba(19, 124, 189, 0.3); }\n  .bp3-html-select.bp3-minimal select.bp3-intent-success,\n  .bp3-select.bp3-minimal select.bp3-intent-success{\n    color:#0d8050; }\n    .bp3-html-select.bp3-minimal select.bp3-intent-success:hover,\n    .bp3-select.bp3-minimal select.bp3-intent-success:hover, .bp3-html-select.bp3-minimal select.bp3-intent-success:active,\n    .bp3-select.bp3-minimal select.bp3-intent-success:active, .bp3-html-select.bp3-minimal select.bp3-intent-success.bp3-active,\n    .bp3-select.bp3-minimal select.bp3-intent-success.bp3-active{\n      background:none;\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:#0d8050; }\n    .bp3-html-select.bp3-minimal select.bp3-intent-success:hover,\n    .bp3-select.bp3-minimal select.bp3-intent-success:hover{\n      background:rgba(15, 153, 96, 0.15);\n      color:#0d8050; }\n    .bp3-html-select.bp3-minimal select.bp3-intent-success:active,\n    .bp3-select.bp3-minimal select.bp3-intent-success:active, .bp3-html-select.bp3-minimal select.bp3-intent-success.bp3-active,\n    .bp3-select.bp3-minimal select.bp3-intent-success.bp3-active{\n      background:rgba(15, 153, 96, 0.3);\n      color:#0d8050; }\n    .bp3-html-select.bp3-minimal select.bp3-intent-success:disabled,\n    .bp3-select.bp3-minimal select.bp3-intent-success:disabled, .bp3-html-select.bp3-minimal select.bp3-intent-success.bp3-disabled,\n    .bp3-select.bp3-minimal select.bp3-intent-success.bp3-disabled{\n      background:none;\n      color:rgba(13, 128, 80, 0.5); }\n      .bp3-html-select.bp3-minimal select.bp3-intent-success:disabled.bp3-active,\n      .bp3-select.bp3-minimal select.bp3-intent-success:disabled.bp3-active, .bp3-html-select.bp3-minimal select.bp3-intent-success.bp3-disabled.bp3-active,\n      .bp3-select.bp3-minimal select.bp3-intent-success.bp3-disabled.bp3-active{\n        background:rgba(15, 153, 96, 0.3); }\n    .bp3-html-select.bp3-minimal select.bp3-intent-success .bp3-button-spinner .bp3-spinner-head, .bp3-select.bp3-minimal select.bp3-intent-success .bp3-button-spinner .bp3-spinner-head{\n      stroke:#0d8050; }\n    .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success,\n    .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success{\n      color:#3dcc91; }\n      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success:hover, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success:hover,\n      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success:hover, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success:hover{\n        background:rgba(15, 153, 96, 0.2);\n        color:#3dcc91; }\n      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success:active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success:active,\n      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success:active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success:active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success.bp3-active,\n      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success.bp3-active{\n        background:rgba(15, 153, 96, 0.3);\n        color:#3dcc91; }\n      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success:disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success:disabled,\n      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success:disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success:disabled, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success.bp3-disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success.bp3-disabled,\n      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success.bp3-disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success.bp3-disabled{\n        background:none;\n        color:rgba(61, 204, 145, 0.5); }\n        .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success:disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success:disabled.bp3-active,\n        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success:disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success:disabled.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-success.bp3-disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-success.bp3-disabled.bp3-active,\n        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-success.bp3-disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-success.bp3-disabled.bp3-active{\n          background:rgba(15, 153, 96, 0.3); }\n  .bp3-html-select.bp3-minimal select.bp3-intent-warning,\n  .bp3-select.bp3-minimal select.bp3-intent-warning{\n    color:#bf7326; }\n    .bp3-html-select.bp3-minimal select.bp3-intent-warning:hover,\n    .bp3-select.bp3-minimal select.bp3-intent-warning:hover, .bp3-html-select.bp3-minimal select.bp3-intent-warning:active,\n    .bp3-select.bp3-minimal select.bp3-intent-warning:active, .bp3-html-select.bp3-minimal select.bp3-intent-warning.bp3-active,\n    .bp3-select.bp3-minimal select.bp3-intent-warning.bp3-active{\n      background:none;\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:#bf7326; }\n    .bp3-html-select.bp3-minimal select.bp3-intent-warning:hover,\n    .bp3-select.bp3-minimal select.bp3-intent-warning:hover{\n      background:rgba(217, 130, 43, 0.15);\n      color:#bf7326; }\n    .bp3-html-select.bp3-minimal select.bp3-intent-warning:active,\n    .bp3-select.bp3-minimal select.bp3-intent-warning:active, .bp3-html-select.bp3-minimal select.bp3-intent-warning.bp3-active,\n    .bp3-select.bp3-minimal select.bp3-intent-warning.bp3-active{\n      background:rgba(217, 130, 43, 0.3);\n      color:#bf7326; }\n    .bp3-html-select.bp3-minimal select.bp3-intent-warning:disabled,\n    .bp3-select.bp3-minimal select.bp3-intent-warning:disabled, .bp3-html-select.bp3-minimal select.bp3-intent-warning.bp3-disabled,\n    .bp3-select.bp3-minimal select.bp3-intent-warning.bp3-disabled{\n      background:none;\n      color:rgba(191, 115, 38, 0.5); }\n      .bp3-html-select.bp3-minimal select.bp3-intent-warning:disabled.bp3-active,\n      .bp3-select.bp3-minimal select.bp3-intent-warning:disabled.bp3-active, .bp3-html-select.bp3-minimal select.bp3-intent-warning.bp3-disabled.bp3-active,\n      .bp3-select.bp3-minimal select.bp3-intent-warning.bp3-disabled.bp3-active{\n        background:rgba(217, 130, 43, 0.3); }\n    .bp3-html-select.bp3-minimal select.bp3-intent-warning .bp3-button-spinner .bp3-spinner-head, .bp3-select.bp3-minimal select.bp3-intent-warning .bp3-button-spinner .bp3-spinner-head{\n      stroke:#bf7326; }\n    .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning,\n    .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning{\n      color:#ffb366; }\n      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning:hover, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning:hover,\n      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning:hover, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning:hover{\n        background:rgba(217, 130, 43, 0.2);\n        color:#ffb366; }\n      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning:active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning:active,\n      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning:active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning:active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning.bp3-active,\n      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning.bp3-active{\n        background:rgba(217, 130, 43, 0.3);\n        color:#ffb366; }\n      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning:disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning:disabled,\n      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning:disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning:disabled, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning.bp3-disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning.bp3-disabled,\n      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning.bp3-disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning.bp3-disabled{\n        background:none;\n        color:rgba(255, 179, 102, 0.5); }\n        .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning:disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning:disabled.bp3-active,\n        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning:disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning:disabled.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-warning.bp3-disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-warning.bp3-disabled.bp3-active,\n        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-warning.bp3-disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-warning.bp3-disabled.bp3-active{\n          background:rgba(217, 130, 43, 0.3); }\n  .bp3-html-select.bp3-minimal select.bp3-intent-danger,\n  .bp3-select.bp3-minimal select.bp3-intent-danger{\n    color:#c23030; }\n    .bp3-html-select.bp3-minimal select.bp3-intent-danger:hover,\n    .bp3-select.bp3-minimal select.bp3-intent-danger:hover, .bp3-html-select.bp3-minimal select.bp3-intent-danger:active,\n    .bp3-select.bp3-minimal select.bp3-intent-danger:active, .bp3-html-select.bp3-minimal select.bp3-intent-danger.bp3-active,\n    .bp3-select.bp3-minimal select.bp3-intent-danger.bp3-active{\n      background:none;\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:#c23030; }\n    .bp3-html-select.bp3-minimal select.bp3-intent-danger:hover,\n    .bp3-select.bp3-minimal select.bp3-intent-danger:hover{\n      background:rgba(219, 55, 55, 0.15);\n      color:#c23030; }\n    .bp3-html-select.bp3-minimal select.bp3-intent-danger:active,\n    .bp3-select.bp3-minimal select.bp3-intent-danger:active, .bp3-html-select.bp3-minimal select.bp3-intent-danger.bp3-active,\n    .bp3-select.bp3-minimal select.bp3-intent-danger.bp3-active{\n      background:rgba(219, 55, 55, 0.3);\n      color:#c23030; }\n    .bp3-html-select.bp3-minimal select.bp3-intent-danger:disabled,\n    .bp3-select.bp3-minimal select.bp3-intent-danger:disabled, .bp3-html-select.bp3-minimal select.bp3-intent-danger.bp3-disabled,\n    .bp3-select.bp3-minimal select.bp3-intent-danger.bp3-disabled{\n      background:none;\n      color:rgba(194, 48, 48, 0.5); }\n      .bp3-html-select.bp3-minimal select.bp3-intent-danger:disabled.bp3-active,\n      .bp3-select.bp3-minimal select.bp3-intent-danger:disabled.bp3-active, .bp3-html-select.bp3-minimal select.bp3-intent-danger.bp3-disabled.bp3-active,\n      .bp3-select.bp3-minimal select.bp3-intent-danger.bp3-disabled.bp3-active{\n        background:rgba(219, 55, 55, 0.3); }\n    .bp3-html-select.bp3-minimal select.bp3-intent-danger .bp3-button-spinner .bp3-spinner-head, .bp3-select.bp3-minimal select.bp3-intent-danger .bp3-button-spinner .bp3-spinner-head{\n      stroke:#c23030; }\n    .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger,\n    .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger{\n      color:#ff7373; }\n      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger:hover, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger:hover,\n      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger:hover, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger:hover{\n        background:rgba(219, 55, 55, 0.2);\n        color:#ff7373; }\n      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger:active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger:active,\n      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger:active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger:active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger.bp3-active,\n      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger.bp3-active{\n        background:rgba(219, 55, 55, 0.3);\n        color:#ff7373; }\n      .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger:disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger:disabled,\n      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger:disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger:disabled, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger.bp3-disabled, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger.bp3-disabled,\n      .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger.bp3-disabled, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger.bp3-disabled{\n        background:none;\n        color:rgba(255, 115, 115, 0.5); }\n        .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger:disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger:disabled.bp3-active,\n        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger:disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger:disabled.bp3-active, .bp3-dark .bp3-html-select.bp3-minimal select.bp3-intent-danger.bp3-disabled.bp3-active, .bp3-html-select.bp3-minimal .bp3-dark select.bp3-intent-danger.bp3-disabled.bp3-active,\n        .bp3-dark .bp3-select.bp3-minimal select.bp3-intent-danger.bp3-disabled.bp3-active, .bp3-select.bp3-minimal .bp3-dark select.bp3-intent-danger.bp3-disabled.bp3-active{\n          background:rgba(219, 55, 55, 0.3); }\n\n.bp3-html-select.bp3-large select,\n.bp3-select.bp3-large select{\n  font-size:16px;\n  height:40px;\n  padding-right:35px; }\n\n.bp3-dark .bp3-html-select select, .bp3-dark .bp3-select select{\n  background-color:#394b59;\n  background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.05)), to(rgba(255, 255, 255, 0)));\n  background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.05), rgba(255, 255, 255, 0));\n  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);\n          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);\n  color:#f5f8fa; }\n  .bp3-dark .bp3-html-select select:hover, .bp3-dark .bp3-select select:hover, .bp3-dark .bp3-html-select select:active, .bp3-dark .bp3-select select:active, .bp3-dark .bp3-html-select select.bp3-active, .bp3-dark .bp3-select select.bp3-active{\n    color:#f5f8fa; }\n  .bp3-dark .bp3-html-select select:hover, .bp3-dark .bp3-select select:hover{\n    background-color:#30404d;\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }\n  .bp3-dark .bp3-html-select select:active, .bp3-dark .bp3-select select:active, .bp3-dark .bp3-html-select select.bp3-active, .bp3-dark .bp3-select select.bp3-active{\n    background-color:#202b33;\n    background-image:none;\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2); }\n  .bp3-dark .bp3-html-select select:disabled, .bp3-dark .bp3-select select:disabled, .bp3-dark .bp3-html-select select.bp3-disabled, .bp3-dark .bp3-select select.bp3-disabled{\n    background-color:rgba(57, 75, 89, 0.5);\n    background-image:none;\n    -webkit-box-shadow:none;\n            box-shadow:none;\n    color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark .bp3-html-select select:disabled.bp3-active, .bp3-dark .bp3-select select:disabled.bp3-active, .bp3-dark .bp3-html-select select.bp3-disabled.bp3-active, .bp3-dark .bp3-select select.bp3-disabled.bp3-active{\n      background:rgba(57, 75, 89, 0.7); }\n  .bp3-dark .bp3-html-select select .bp3-button-spinner .bp3-spinner-head, .bp3-dark .bp3-select select .bp3-button-spinner .bp3-spinner-head{\n    background:rgba(16, 22, 26, 0.5);\n    stroke:#8a9ba8; }\n\n.bp3-html-select select:disabled,\n.bp3-select select:disabled{\n  background-color:rgba(206, 217, 224, 0.5);\n  -webkit-box-shadow:none;\n          box-shadow:none;\n  color:rgba(92, 112, 128, 0.6);\n  cursor:not-allowed; }\n\n.bp3-html-select .bp3-icon,\n.bp3-select .bp3-icon, .bp3-select::after{\n  color:#5c7080;\n  pointer-events:none;\n  position:absolute;\n  right:7px;\n  top:7px; }\n  .bp3-html-select .bp3-disabled.bp3-icon,\n  .bp3-select .bp3-disabled.bp3-icon, .bp3-disabled.bp3-select::after{\n    color:rgba(92, 112, 128, 0.6); }\n.bp3-html-select,\n.bp3-select{\n  display:inline-block;\n  letter-spacing:normal;\n  position:relative;\n  vertical-align:middle; }\n  .bp3-html-select select::-ms-expand,\n  .bp3-select select::-ms-expand{\n    display:none; }\n  .bp3-html-select .bp3-icon,\n  .bp3-select .bp3-icon{\n    color:#5c7080; }\n    .bp3-html-select .bp3-icon:hover,\n    .bp3-select .bp3-icon:hover{\n      color:#182026; }\n    .bp3-dark .bp3-html-select .bp3-icon, .bp3-dark\n    .bp3-select .bp3-icon{\n      color:#a7b6c2; }\n      .bp3-dark .bp3-html-select .bp3-icon:hover, .bp3-dark\n      .bp3-select .bp3-icon:hover{\n        color:#f5f8fa; }\n  .bp3-html-select.bp3-large::after,\n  .bp3-html-select.bp3-large .bp3-icon,\n  .bp3-select.bp3-large::after,\n  .bp3-select.bp3-large .bp3-icon{\n    right:12px;\n    top:12px; }\n  .bp3-html-select.bp3-fill,\n  .bp3-html-select.bp3-fill select,\n  .bp3-select.bp3-fill,\n  .bp3-select.bp3-fill select{\n    width:100%; }\n  .bp3-dark .bp3-html-select option, .bp3-dark\n  .bp3-select option{\n    background-color:#30404d;\n    color:#f5f8fa; }\n  .bp3-dark .bp3-html-select option:disabled, .bp3-dark\n  .bp3-select option:disabled{\n    color:rgba(167, 182, 194, 0.6); }\n  .bp3-dark .bp3-html-select::after, .bp3-dark\n  .bp3-select::after{\n    color:#a7b6c2; }\n\n.bp3-select::after{\n  font-family:\"Icons16\", sans-serif;\n  font-size:16px;\n  font-style:normal;\n  font-weight:400;\n  line-height:1;\n  -moz-osx-font-smoothing:grayscale;\n  -webkit-font-smoothing:antialiased;\n  content:\"\"; }\n.bp3-running-text table, table.bp3-html-table{\n  border-spacing:0;\n  font-size:14px; }\n  .bp3-running-text table th, table.bp3-html-table th,\n  .bp3-running-text table td,\n  table.bp3-html-table td{\n    padding:11px;\n    text-align:left;\n    vertical-align:top; }\n  .bp3-running-text table th, table.bp3-html-table th{\n    color:#182026;\n    font-weight:600; }\n  \n  .bp3-running-text table td,\n  table.bp3-html-table td{\n    color:#182026; }\n  .bp3-running-text table tbody tr:first-child th, table.bp3-html-table tbody tr:first-child th,\n  .bp3-running-text table tbody tr:first-child td,\n  table.bp3-html-table tbody tr:first-child td,\n  .bp3-running-text table tfoot tr:first-child th,\n  table.bp3-html-table tfoot tr:first-child th,\n  .bp3-running-text table tfoot tr:first-child td,\n  table.bp3-html-table tfoot tr:first-child td{\n    -webkit-box-shadow:inset 0 1px 0 0 rgba(16, 22, 26, 0.15);\n            box-shadow:inset 0 1px 0 0 rgba(16, 22, 26, 0.15); }\n  .bp3-dark .bp3-running-text table th, .bp3-running-text .bp3-dark table th, .bp3-dark table.bp3-html-table th{\n    color:#f5f8fa; }\n  .bp3-dark .bp3-running-text table td, .bp3-running-text .bp3-dark table td, .bp3-dark table.bp3-html-table td{\n    color:#f5f8fa; }\n  .bp3-dark .bp3-running-text table tbody tr:first-child th, .bp3-running-text .bp3-dark table tbody tr:first-child th, .bp3-dark table.bp3-html-table tbody tr:first-child th,\n  .bp3-dark .bp3-running-text table tbody tr:first-child td,\n  .bp3-running-text .bp3-dark table tbody tr:first-child td,\n  .bp3-dark table.bp3-html-table tbody tr:first-child td,\n  .bp3-dark .bp3-running-text table tfoot tr:first-child th,\n  .bp3-running-text .bp3-dark table tfoot tr:first-child th,\n  .bp3-dark table.bp3-html-table tfoot tr:first-child th,\n  .bp3-dark .bp3-running-text table tfoot tr:first-child td,\n  .bp3-running-text .bp3-dark table tfoot tr:first-child td,\n  .bp3-dark table.bp3-html-table tfoot tr:first-child td{\n    -webkit-box-shadow:inset 0 1px 0 0 rgba(255, 255, 255, 0.15);\n            box-shadow:inset 0 1px 0 0 rgba(255, 255, 255, 0.15); }\n\ntable.bp3-html-table.bp3-html-table-condensed th,\ntable.bp3-html-table.bp3-html-table-condensed td, table.bp3-html-table.bp3-small th,\ntable.bp3-html-table.bp3-small td{\n  padding-bottom:6px;\n  padding-top:6px; }\n\ntable.bp3-html-table.bp3-html-table-striped tbody tr:nth-child(odd) td{\n  background:rgba(191, 204, 214, 0.15); }\n\ntable.bp3-html-table.bp3-html-table-bordered th:not(:first-child){\n  -webkit-box-shadow:inset 1px 0 0 0 rgba(16, 22, 26, 0.15);\n          box-shadow:inset 1px 0 0 0 rgba(16, 22, 26, 0.15); }\n\ntable.bp3-html-table.bp3-html-table-bordered tbody tr td,\ntable.bp3-html-table.bp3-html-table-bordered tfoot tr td{\n  -webkit-box-shadow:inset 0 1px 0 0 rgba(16, 22, 26, 0.15);\n          box-shadow:inset 0 1px 0 0 rgba(16, 22, 26, 0.15); }\n  table.bp3-html-table.bp3-html-table-bordered tbody tr td:not(:first-child),\n  table.bp3-html-table.bp3-html-table-bordered tfoot tr td:not(:first-child){\n    -webkit-box-shadow:inset 1px 1px 0 0 rgba(16, 22, 26, 0.15);\n            box-shadow:inset 1px 1px 0 0 rgba(16, 22, 26, 0.15); }\n\ntable.bp3-html-table.bp3-html-table-bordered.bp3-html-table-striped tbody tr:not(:first-child) td{\n  -webkit-box-shadow:none;\n          box-shadow:none; }\n  table.bp3-html-table.bp3-html-table-bordered.bp3-html-table-striped tbody tr:not(:first-child) td:not(:first-child){\n    -webkit-box-shadow:inset 1px 0 0 0 rgba(16, 22, 26, 0.15);\n            box-shadow:inset 1px 0 0 0 rgba(16, 22, 26, 0.15); }\n\ntable.bp3-html-table.bp3-interactive tbody tr:hover td{\n  background-color:rgba(191, 204, 214, 0.3);\n  cursor:pointer; }\n\ntable.bp3-html-table.bp3-interactive tbody tr:active td{\n  background-color:rgba(191, 204, 214, 0.4); }\n\n.bp3-dark table.bp3-html-table{ }\n  .bp3-dark table.bp3-html-table.bp3-html-table-striped tbody tr:nth-child(odd) td{\n    background:rgba(92, 112, 128, 0.15); }\n  .bp3-dark table.bp3-html-table.bp3-html-table-bordered th:not(:first-child){\n    -webkit-box-shadow:inset 1px 0 0 0 rgba(255, 255, 255, 0.15);\n            box-shadow:inset 1px 0 0 0 rgba(255, 255, 255, 0.15); }\n  .bp3-dark table.bp3-html-table.bp3-html-table-bordered tbody tr td,\n  .bp3-dark table.bp3-html-table.bp3-html-table-bordered tfoot tr td{\n    -webkit-box-shadow:inset 0 1px 0 0 rgba(255, 255, 255, 0.15);\n            box-shadow:inset 0 1px 0 0 rgba(255, 255, 255, 0.15); }\n    .bp3-dark table.bp3-html-table.bp3-html-table-bordered tbody tr td:not(:first-child),\n    .bp3-dark table.bp3-html-table.bp3-html-table-bordered tfoot tr td:not(:first-child){\n      -webkit-box-shadow:inset 1px 1px 0 0 rgba(255, 255, 255, 0.15);\n              box-shadow:inset 1px 1px 0 0 rgba(255, 255, 255, 0.15); }\n  .bp3-dark table.bp3-html-table.bp3-html-table-bordered.bp3-html-table-striped tbody tr:not(:first-child) td{\n    -webkit-box-shadow:inset 1px 0 0 0 rgba(255, 255, 255, 0.15);\n            box-shadow:inset 1px 0 0 0 rgba(255, 255, 255, 0.15); }\n    .bp3-dark table.bp3-html-table.bp3-html-table-bordered.bp3-html-table-striped tbody tr:not(:first-child) td:first-child{\n      -webkit-box-shadow:none;\n              box-shadow:none; }\n  .bp3-dark table.bp3-html-table.bp3-interactive tbody tr:hover td{\n    background-color:rgba(92, 112, 128, 0.3);\n    cursor:pointer; }\n  .bp3-dark table.bp3-html-table.bp3-interactive tbody tr:active td{\n    background-color:rgba(92, 112, 128, 0.4); }\n\n.bp3-key-combo{\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -webkit-box-orient:horizontal;\n  -webkit-box-direction:normal;\n      -ms-flex-direction:row;\n          flex-direction:row;\n  -webkit-box-align:center;\n      -ms-flex-align:center;\n          align-items:center; }\n  .bp3-key-combo > *{\n    -webkit-box-flex:0;\n        -ms-flex-positive:0;\n            flex-grow:0;\n    -ms-flex-negative:0;\n        flex-shrink:0; }\n  .bp3-key-combo > .bp3-fill{\n    -webkit-box-flex:1;\n        -ms-flex-positive:1;\n            flex-grow:1;\n    -ms-flex-negative:1;\n        flex-shrink:1; }\n  .bp3-key-combo::before,\n  .bp3-key-combo > *{\n    margin-right:5px; }\n  .bp3-key-combo:empty::before,\n  .bp3-key-combo > :last-child{\n    margin-right:0; }\n\n.bp3-hotkey-dialog{\n  padding-bottom:0;\n  top:40px; }\n  .bp3-hotkey-dialog .bp3-dialog-body{\n    margin:0;\n    padding:0; }\n  .bp3-hotkey-dialog .bp3-hotkey-label{\n    -webkit-box-flex:1;\n        -ms-flex-positive:1;\n            flex-grow:1; }\n\n.bp3-hotkey-column{\n  margin:auto;\n  max-height:80vh;\n  overflow-y:auto;\n  padding:30px; }\n  .bp3-hotkey-column .bp3-heading{\n    margin-bottom:20px; }\n    .bp3-hotkey-column .bp3-heading:not(:first-child){\n      margin-top:40px; }\n\n.bp3-hotkey{\n  -webkit-box-align:center;\n      -ms-flex-align:center;\n          align-items:center;\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -webkit-box-pack:justify;\n      -ms-flex-pack:justify;\n          justify-content:space-between;\n  margin-left:0;\n  margin-right:0; }\n  .bp3-hotkey:not(:last-child){\n    margin-bottom:10px; }\n.bp3-icon{\n  display:inline-block;\n  -webkit-box-flex:0;\n      -ms-flex:0 0 auto;\n          flex:0 0 auto;\n  vertical-align:text-bottom; }\n  .bp3-icon:not(:empty)::before{\n    content:\"\" !important;\n    content:unset !important; }\n  .bp3-icon > svg{\n    display:block; }\n    .bp3-icon > svg:not([fill]){\n      fill:currentColor; }\n\n.bp3-icon.bp3-intent-primary, .bp3-icon-standard.bp3-intent-primary, .bp3-icon-large.bp3-intent-primary{\n  color:#106ba3; }\n  .bp3-dark .bp3-icon.bp3-intent-primary, .bp3-dark .bp3-icon-standard.bp3-intent-primary, .bp3-dark .bp3-icon-large.bp3-intent-primary{\n    color:#48aff0; }\n\n.bp3-icon.bp3-intent-success, .bp3-icon-standard.bp3-intent-success, .bp3-icon-large.bp3-intent-success{\n  color:#0d8050; }\n  .bp3-dark .bp3-icon.bp3-intent-success, .bp3-dark .bp3-icon-standard.bp3-intent-success, .bp3-dark .bp3-icon-large.bp3-intent-success{\n    color:#3dcc91; }\n\n.bp3-icon.bp3-intent-warning, .bp3-icon-standard.bp3-intent-warning, .bp3-icon-large.bp3-intent-warning{\n  color:#bf7326; }\n  .bp3-dark .bp3-icon.bp3-intent-warning, .bp3-dark .bp3-icon-standard.bp3-intent-warning, .bp3-dark .bp3-icon-large.bp3-intent-warning{\n    color:#ffb366; }\n\n.bp3-icon.bp3-intent-danger, .bp3-icon-standard.bp3-intent-danger, .bp3-icon-large.bp3-intent-danger{\n  color:#c23030; }\n  .bp3-dark .bp3-icon.bp3-intent-danger, .bp3-dark .bp3-icon-standard.bp3-intent-danger, .bp3-dark .bp3-icon-large.bp3-intent-danger{\n    color:#ff7373; }\n\nspan.bp3-icon-standard{\n  font-family:\"Icons16\", sans-serif;\n  font-size:16px;\n  font-style:normal;\n  font-weight:400;\n  line-height:1;\n  -moz-osx-font-smoothing:grayscale;\n  -webkit-font-smoothing:antialiased;\n  display:inline-block; }\n\nspan.bp3-icon-large{\n  font-family:\"Icons20\", sans-serif;\n  font-size:20px;\n  font-style:normal;\n  font-weight:400;\n  line-height:1;\n  -moz-osx-font-smoothing:grayscale;\n  -webkit-font-smoothing:antialiased;\n  display:inline-block; }\n\nspan.bp3-icon:empty{\n  font-family:\"Icons20\";\n  font-size:inherit;\n  font-style:normal;\n  font-weight:400;\n  line-height:1; }\n  span.bp3-icon:empty::before{\n    -moz-osx-font-smoothing:grayscale;\n    -webkit-font-smoothing:antialiased; }\n\n.bp3-icon-add::before{\n  content:\"\"; }\n\n.bp3-icon-add-column-left::before{\n  content:\"\"; }\n\n.bp3-icon-add-column-right::before{\n  content:\"\"; }\n\n.bp3-icon-add-row-bottom::before{\n  content:\"\"; }\n\n.bp3-icon-add-row-top::before{\n  content:\"\"; }\n\n.bp3-icon-add-to-artifact::before{\n  content:\"\"; }\n\n.bp3-icon-add-to-folder::before{\n  content:\"\"; }\n\n.bp3-icon-airplane::before{\n  content:\"\"; }\n\n.bp3-icon-align-center::before{\n  content:\"\"; }\n\n.bp3-icon-align-justify::before{\n  content:\"\"; }\n\n.bp3-icon-align-left::before{\n  content:\"\"; }\n\n.bp3-icon-align-right::before{\n  content:\"\"; }\n\n.bp3-icon-alignment-bottom::before{\n  content:\"\"; }\n\n.bp3-icon-alignment-horizontal-center::before{\n  content:\"\"; }\n\n.bp3-icon-alignment-left::before{\n  content:\"\"; }\n\n.bp3-icon-alignment-right::before{\n  content:\"\"; }\n\n.bp3-icon-alignment-top::before{\n  content:\"\"; }\n\n.bp3-icon-alignment-vertical-center::before{\n  content:\"\"; }\n\n.bp3-icon-annotation::before{\n  content:\"\"; }\n\n.bp3-icon-application::before{\n  content:\"\"; }\n\n.bp3-icon-applications::before{\n  content:\"\"; }\n\n.bp3-icon-archive::before{\n  content:\"\"; }\n\n.bp3-icon-arrow-bottom-left::before{\n  content:\"↙\"; }\n\n.bp3-icon-arrow-bottom-right::before{\n  content:\"↘\"; }\n\n.bp3-icon-arrow-down::before{\n  content:\"↓\"; }\n\n.bp3-icon-arrow-left::before{\n  content:\"←\"; }\n\n.bp3-icon-arrow-right::before{\n  content:\"→\"; }\n\n.bp3-icon-arrow-top-left::before{\n  content:\"↖\"; }\n\n.bp3-icon-arrow-top-right::before{\n  content:\"↗\"; }\n\n.bp3-icon-arrow-up::before{\n  content:\"↑\"; }\n\n.bp3-icon-arrows-horizontal::before{\n  content:\"↔\"; }\n\n.bp3-icon-arrows-vertical::before{\n  content:\"↕\"; }\n\n.bp3-icon-asterisk::before{\n  content:\"*\"; }\n\n.bp3-icon-automatic-updates::before{\n  content:\"\"; }\n\n.bp3-icon-badge::before{\n  content:\"\"; }\n\n.bp3-icon-ban-circle::before{\n  content:\"\"; }\n\n.bp3-icon-bank-account::before{\n  content:\"\"; }\n\n.bp3-icon-barcode::before{\n  content:\"\"; }\n\n.bp3-icon-blank::before{\n  content:\"\"; }\n\n.bp3-icon-blocked-person::before{\n  content:\"\"; }\n\n.bp3-icon-bold::before{\n  content:\"\"; }\n\n.bp3-icon-book::before{\n  content:\"\"; }\n\n.bp3-icon-bookmark::before{\n  content:\"\"; }\n\n.bp3-icon-box::before{\n  content:\"\"; }\n\n.bp3-icon-briefcase::before{\n  content:\"\"; }\n\n.bp3-icon-bring-data::before{\n  content:\"\"; }\n\n.bp3-icon-build::before{\n  content:\"\"; }\n\n.bp3-icon-calculator::before{\n  content:\"\"; }\n\n.bp3-icon-calendar::before{\n  content:\"\"; }\n\n.bp3-icon-camera::before{\n  content:\"\"; }\n\n.bp3-icon-caret-down::before{\n  content:\"⌄\"; }\n\n.bp3-icon-caret-left::before{\n  content:\"〈\"; }\n\n.bp3-icon-caret-right::before{\n  content:\"〉\"; }\n\n.bp3-icon-caret-up::before{\n  content:\"⌃\"; }\n\n.bp3-icon-cell-tower::before{\n  content:\"\"; }\n\n.bp3-icon-changes::before{\n  content:\"\"; }\n\n.bp3-icon-chart::before{\n  content:\"\"; }\n\n.bp3-icon-chat::before{\n  content:\"\"; }\n\n.bp3-icon-chevron-backward::before{\n  content:\"\"; }\n\n.bp3-icon-chevron-down::before{\n  content:\"\"; }\n\n.bp3-icon-chevron-forward::before{\n  content:\"\"; }\n\n.bp3-icon-chevron-left::before{\n  content:\"\"; }\n\n.bp3-icon-chevron-right::before{\n  content:\"\"; }\n\n.bp3-icon-chevron-up::before{\n  content:\"\"; }\n\n.bp3-icon-circle::before{\n  content:\"\"; }\n\n.bp3-icon-circle-arrow-down::before{\n  content:\"\"; }\n\n.bp3-icon-circle-arrow-left::before{\n  content:\"\"; }\n\n.bp3-icon-circle-arrow-right::before{\n  content:\"\"; }\n\n.bp3-icon-circle-arrow-up::before{\n  content:\"\"; }\n\n.bp3-icon-citation::before{\n  content:\"\"; }\n\n.bp3-icon-clean::before{\n  content:\"\"; }\n\n.bp3-icon-clipboard::before{\n  content:\"\"; }\n\n.bp3-icon-cloud::before{\n  content:\"☁\"; }\n\n.bp3-icon-cloud-download::before{\n  content:\"\"; }\n\n.bp3-icon-cloud-upload::before{\n  content:\"\"; }\n\n.bp3-icon-code::before{\n  content:\"\"; }\n\n.bp3-icon-code-block::before{\n  content:\"\"; }\n\n.bp3-icon-cog::before{\n  content:\"\"; }\n\n.bp3-icon-collapse-all::before{\n  content:\"\"; }\n\n.bp3-icon-column-layout::before{\n  content:\"\"; }\n\n.bp3-icon-comment::before{\n  content:\"\"; }\n\n.bp3-icon-comparison::before{\n  content:\"\"; }\n\n.bp3-icon-compass::before{\n  content:\"\"; }\n\n.bp3-icon-compressed::before{\n  content:\"\"; }\n\n.bp3-icon-confirm::before{\n  content:\"\"; }\n\n.bp3-icon-console::before{\n  content:\"\"; }\n\n.bp3-icon-contrast::before{\n  content:\"\"; }\n\n.bp3-icon-control::before{\n  content:\"\"; }\n\n.bp3-icon-credit-card::before{\n  content:\"\"; }\n\n.bp3-icon-cross::before{\n  content:\"✗\"; }\n\n.bp3-icon-crown::before{\n  content:\"\"; }\n\n.bp3-icon-cube::before{\n  content:\"\"; }\n\n.bp3-icon-cube-add::before{\n  content:\"\"; }\n\n.bp3-icon-cube-remove::before{\n  content:\"\"; }\n\n.bp3-icon-curved-range-chart::before{\n  content:\"\"; }\n\n.bp3-icon-cut::before{\n  content:\"\"; }\n\n.bp3-icon-dashboard::before{\n  content:\"\"; }\n\n.bp3-icon-data-lineage::before{\n  content:\"\"; }\n\n.bp3-icon-database::before{\n  content:\"\"; }\n\n.bp3-icon-delete::before{\n  content:\"\"; }\n\n.bp3-icon-delta::before{\n  content:\"Δ\"; }\n\n.bp3-icon-derive-column::before{\n  content:\"\"; }\n\n.bp3-icon-desktop::before{\n  content:\"\"; }\n\n.bp3-icon-diagnosis::before{\n  content:\"\"; }\n\n.bp3-icon-diagram-tree::before{\n  content:\"\"; }\n\n.bp3-icon-direction-left::before{\n  content:\"\"; }\n\n.bp3-icon-direction-right::before{\n  content:\"\"; }\n\n.bp3-icon-disable::before{\n  content:\"\"; }\n\n.bp3-icon-document::before{\n  content:\"\"; }\n\n.bp3-icon-document-open::before{\n  content:\"\"; }\n\n.bp3-icon-document-share::before{\n  content:\"\"; }\n\n.bp3-icon-dollar::before{\n  content:\"$\"; }\n\n.bp3-icon-dot::before{\n  content:\"•\"; }\n\n.bp3-icon-double-caret-horizontal::before{\n  content:\"\"; }\n\n.bp3-icon-double-caret-vertical::before{\n  content:\"\"; }\n\n.bp3-icon-double-chevron-down::before{\n  content:\"\"; }\n\n.bp3-icon-double-chevron-left::before{\n  content:\"\"; }\n\n.bp3-icon-double-chevron-right::before{\n  content:\"\"; }\n\n.bp3-icon-double-chevron-up::before{\n  content:\"\"; }\n\n.bp3-icon-doughnut-chart::before{\n  content:\"\"; }\n\n.bp3-icon-download::before{\n  content:\"\"; }\n\n.bp3-icon-drag-handle-horizontal::before{\n  content:\"\"; }\n\n.bp3-icon-drag-handle-vertical::before{\n  content:\"\"; }\n\n.bp3-icon-draw::before{\n  content:\"\"; }\n\n.bp3-icon-drive-time::before{\n  content:\"\"; }\n\n.bp3-icon-duplicate::before{\n  content:\"\"; }\n\n.bp3-icon-edit::before{\n  content:\"✎\"; }\n\n.bp3-icon-eject::before{\n  content:\"⏏\"; }\n\n.bp3-icon-endorsed::before{\n  content:\"\"; }\n\n.bp3-icon-envelope::before{\n  content:\"✉\"; }\n\n.bp3-icon-equals::before{\n  content:\"\"; }\n\n.bp3-icon-eraser::before{\n  content:\"\"; }\n\n.bp3-icon-error::before{\n  content:\"\"; }\n\n.bp3-icon-euro::before{\n  content:\"€\"; }\n\n.bp3-icon-exchange::before{\n  content:\"\"; }\n\n.bp3-icon-exclude-row::before{\n  content:\"\"; }\n\n.bp3-icon-expand-all::before{\n  content:\"\"; }\n\n.bp3-icon-export::before{\n  content:\"\"; }\n\n.bp3-icon-eye-off::before{\n  content:\"\"; }\n\n.bp3-icon-eye-on::before{\n  content:\"\"; }\n\n.bp3-icon-eye-open::before{\n  content:\"\"; }\n\n.bp3-icon-fast-backward::before{\n  content:\"\"; }\n\n.bp3-icon-fast-forward::before{\n  content:\"\"; }\n\n.bp3-icon-feed::before{\n  content:\"\"; }\n\n.bp3-icon-feed-subscribed::before{\n  content:\"\"; }\n\n.bp3-icon-film::before{\n  content:\"\"; }\n\n.bp3-icon-filter::before{\n  content:\"\"; }\n\n.bp3-icon-filter-keep::before{\n  content:\"\"; }\n\n.bp3-icon-filter-list::before{\n  content:\"\"; }\n\n.bp3-icon-filter-open::before{\n  content:\"\"; }\n\n.bp3-icon-filter-remove::before{\n  content:\"\"; }\n\n.bp3-icon-flag::before{\n  content:\"⚑\"; }\n\n.bp3-icon-flame::before{\n  content:\"\"; }\n\n.bp3-icon-flash::before{\n  content:\"\"; }\n\n.bp3-icon-floppy-disk::before{\n  content:\"\"; }\n\n.bp3-icon-flow-branch::before{\n  content:\"\"; }\n\n.bp3-icon-flow-end::before{\n  content:\"\"; }\n\n.bp3-icon-flow-linear::before{\n  content:\"\"; }\n\n.bp3-icon-flow-review::before{\n  content:\"\"; }\n\n.bp3-icon-flow-review-branch::before{\n  content:\"\"; }\n\n.bp3-icon-flows::before{\n  content:\"\"; }\n\n.bp3-icon-folder-close::before{\n  content:\"\"; }\n\n.bp3-icon-folder-new::before{\n  content:\"\"; }\n\n.bp3-icon-folder-open::before{\n  content:\"\"; }\n\n.bp3-icon-folder-shared::before{\n  content:\"\"; }\n\n.bp3-icon-folder-shared-open::before{\n  content:\"\"; }\n\n.bp3-icon-follower::before{\n  content:\"\"; }\n\n.bp3-icon-following::before{\n  content:\"\"; }\n\n.bp3-icon-font::before{\n  content:\"\"; }\n\n.bp3-icon-fork::before{\n  content:\"\"; }\n\n.bp3-icon-form::before{\n  content:\"\"; }\n\n.bp3-icon-full-circle::before{\n  content:\"\"; }\n\n.bp3-icon-full-stacked-chart::before{\n  content:\"\"; }\n\n.bp3-icon-fullscreen::before{\n  content:\"\"; }\n\n.bp3-icon-function::before{\n  content:\"\"; }\n\n.bp3-icon-gantt-chart::before{\n  content:\"\"; }\n\n.bp3-icon-geolocation::before{\n  content:\"\"; }\n\n.bp3-icon-geosearch::before{\n  content:\"\"; }\n\n.bp3-icon-git-branch::before{\n  content:\"\"; }\n\n.bp3-icon-git-commit::before{\n  content:\"\"; }\n\n.bp3-icon-git-merge::before{\n  content:\"\"; }\n\n.bp3-icon-git-new-branch::before{\n  content:\"\"; }\n\n.bp3-icon-git-pull::before{\n  content:\"\"; }\n\n.bp3-icon-git-push::before{\n  content:\"\"; }\n\n.bp3-icon-git-repo::before{\n  content:\"\"; }\n\n.bp3-icon-glass::before{\n  content:\"\"; }\n\n.bp3-icon-globe::before{\n  content:\"\"; }\n\n.bp3-icon-globe-network::before{\n  content:\"\"; }\n\n.bp3-icon-graph::before{\n  content:\"\"; }\n\n.bp3-icon-graph-remove::before{\n  content:\"\"; }\n\n.bp3-icon-greater-than::before{\n  content:\"\"; }\n\n.bp3-icon-greater-than-or-equal-to::before{\n  content:\"\"; }\n\n.bp3-icon-grid::before{\n  content:\"\"; }\n\n.bp3-icon-grid-view::before{\n  content:\"\"; }\n\n.bp3-icon-group-objects::before{\n  content:\"\"; }\n\n.bp3-icon-grouped-bar-chart::before{\n  content:\"\"; }\n\n.bp3-icon-hand::before{\n  content:\"\"; }\n\n.bp3-icon-hand-down::before{\n  content:\"\"; }\n\n.bp3-icon-hand-left::before{\n  content:\"\"; }\n\n.bp3-icon-hand-right::before{\n  content:\"\"; }\n\n.bp3-icon-hand-up::before{\n  content:\"\"; }\n\n.bp3-icon-header::before{\n  content:\"\"; }\n\n.bp3-icon-header-one::before{\n  content:\"\"; }\n\n.bp3-icon-header-two::before{\n  content:\"\"; }\n\n.bp3-icon-headset::before{\n  content:\"\"; }\n\n.bp3-icon-heart::before{\n  content:\"♥\"; }\n\n.bp3-icon-heart-broken::before{\n  content:\"\"; }\n\n.bp3-icon-heat-grid::before{\n  content:\"\"; }\n\n.bp3-icon-heatmap::before{\n  content:\"\"; }\n\n.bp3-icon-help::before{\n  content:\"?\"; }\n\n.bp3-icon-helper-management::before{\n  content:\"\"; }\n\n.bp3-icon-highlight::before{\n  content:\"\"; }\n\n.bp3-icon-history::before{\n  content:\"\"; }\n\n.bp3-icon-home::before{\n  content:\"⌂\"; }\n\n.bp3-icon-horizontal-bar-chart::before{\n  content:\"\"; }\n\n.bp3-icon-horizontal-bar-chart-asc::before{\n  content:\"\"; }\n\n.bp3-icon-horizontal-bar-chart-desc::before{\n  content:\"\"; }\n\n.bp3-icon-horizontal-distribution::before{\n  content:\"\"; }\n\n.bp3-icon-id-number::before{\n  content:\"\"; }\n\n.bp3-icon-image-rotate-left::before{\n  content:\"\"; }\n\n.bp3-icon-image-rotate-right::before{\n  content:\"\"; }\n\n.bp3-icon-import::before{\n  content:\"\"; }\n\n.bp3-icon-inbox::before{\n  content:\"\"; }\n\n.bp3-icon-inbox-filtered::before{\n  content:\"\"; }\n\n.bp3-icon-inbox-geo::before{\n  content:\"\"; }\n\n.bp3-icon-inbox-search::before{\n  content:\"\"; }\n\n.bp3-icon-inbox-update::before{\n  content:\"\"; }\n\n.bp3-icon-info-sign::before{\n  content:\"ℹ\"; }\n\n.bp3-icon-inheritance::before{\n  content:\"\"; }\n\n.bp3-icon-inner-join::before{\n  content:\"\"; }\n\n.bp3-icon-insert::before{\n  content:\"\"; }\n\n.bp3-icon-intersection::before{\n  content:\"\"; }\n\n.bp3-icon-ip-address::before{\n  content:\"\"; }\n\n.bp3-icon-issue::before{\n  content:\"\"; }\n\n.bp3-icon-issue-closed::before{\n  content:\"\"; }\n\n.bp3-icon-issue-new::before{\n  content:\"\"; }\n\n.bp3-icon-italic::before{\n  content:\"\"; }\n\n.bp3-icon-join-table::before{\n  content:\"\"; }\n\n.bp3-icon-key::before{\n  content:\"\"; }\n\n.bp3-icon-key-backspace::before{\n  content:\"\"; }\n\n.bp3-icon-key-command::before{\n  content:\"\"; }\n\n.bp3-icon-key-control::before{\n  content:\"\"; }\n\n.bp3-icon-key-delete::before{\n  content:\"\"; }\n\n.bp3-icon-key-enter::before{\n  content:\"\"; }\n\n.bp3-icon-key-escape::before{\n  content:\"\"; }\n\n.bp3-icon-key-option::before{\n  content:\"\"; }\n\n.bp3-icon-key-shift::before{\n  content:\"\"; }\n\n.bp3-icon-key-tab::before{\n  content:\"\"; }\n\n.bp3-icon-known-vehicle::before{\n  content:\"\"; }\n\n.bp3-icon-lab-test::before{\n  content:\"\"; }\n\n.bp3-icon-label::before{\n  content:\"\"; }\n\n.bp3-icon-layer::before{\n  content:\"\"; }\n\n.bp3-icon-layers::before{\n  content:\"\"; }\n\n.bp3-icon-layout::before{\n  content:\"\"; }\n\n.bp3-icon-layout-auto::before{\n  content:\"\"; }\n\n.bp3-icon-layout-balloon::before{\n  content:\"\"; }\n\n.bp3-icon-layout-circle::before{\n  content:\"\"; }\n\n.bp3-icon-layout-grid::before{\n  content:\"\"; }\n\n.bp3-icon-layout-group-by::before{\n  content:\"\"; }\n\n.bp3-icon-layout-hierarchy::before{\n  content:\"\"; }\n\n.bp3-icon-layout-linear::before{\n  content:\"\"; }\n\n.bp3-icon-layout-skew-grid::before{\n  content:\"\"; }\n\n.bp3-icon-layout-sorted-clusters::before{\n  content:\"\"; }\n\n.bp3-icon-learning::before{\n  content:\"\"; }\n\n.bp3-icon-left-join::before{\n  content:\"\"; }\n\n.bp3-icon-less-than::before{\n  content:\"\"; }\n\n.bp3-icon-less-than-or-equal-to::before{\n  content:\"\"; }\n\n.bp3-icon-lifesaver::before{\n  content:\"\"; }\n\n.bp3-icon-lightbulb::before{\n  content:\"\"; }\n\n.bp3-icon-link::before{\n  content:\"\"; }\n\n.bp3-icon-list::before{\n  content:\"☰\"; }\n\n.bp3-icon-list-columns::before{\n  content:\"\"; }\n\n.bp3-icon-list-detail-view::before{\n  content:\"\"; }\n\n.bp3-icon-locate::before{\n  content:\"\"; }\n\n.bp3-icon-lock::before{\n  content:\"\"; }\n\n.bp3-icon-log-in::before{\n  content:\"\"; }\n\n.bp3-icon-log-out::before{\n  content:\"\"; }\n\n.bp3-icon-manual::before{\n  content:\"\"; }\n\n.bp3-icon-manually-entered-data::before{\n  content:\"\"; }\n\n.bp3-icon-map::before{\n  content:\"\"; }\n\n.bp3-icon-map-create::before{\n  content:\"\"; }\n\n.bp3-icon-map-marker::before{\n  content:\"\"; }\n\n.bp3-icon-maximize::before{\n  content:\"\"; }\n\n.bp3-icon-media::before{\n  content:\"\"; }\n\n.bp3-icon-menu::before{\n  content:\"\"; }\n\n.bp3-icon-menu-closed::before{\n  content:\"\"; }\n\n.bp3-icon-menu-open::before{\n  content:\"\"; }\n\n.bp3-icon-merge-columns::before{\n  content:\"\"; }\n\n.bp3-icon-merge-links::before{\n  content:\"\"; }\n\n.bp3-icon-minimize::before{\n  content:\"\"; }\n\n.bp3-icon-minus::before{\n  content:\"−\"; }\n\n.bp3-icon-mobile-phone::before{\n  content:\"\"; }\n\n.bp3-icon-mobile-video::before{\n  content:\"\"; }\n\n.bp3-icon-moon::before{\n  content:\"\"; }\n\n.bp3-icon-more::before{\n  content:\"\"; }\n\n.bp3-icon-mountain::before{\n  content:\"\"; }\n\n.bp3-icon-move::before{\n  content:\"\"; }\n\n.bp3-icon-mugshot::before{\n  content:\"\"; }\n\n.bp3-icon-multi-select::before{\n  content:\"\"; }\n\n.bp3-icon-music::before{\n  content:\"\"; }\n\n.bp3-icon-new-drawing::before{\n  content:\"\"; }\n\n.bp3-icon-new-grid-item::before{\n  content:\"\"; }\n\n.bp3-icon-new-layer::before{\n  content:\"\"; }\n\n.bp3-icon-new-layers::before{\n  content:\"\"; }\n\n.bp3-icon-new-link::before{\n  content:\"\"; }\n\n.bp3-icon-new-object::before{\n  content:\"\"; }\n\n.bp3-icon-new-person::before{\n  content:\"\"; }\n\n.bp3-icon-new-prescription::before{\n  content:\"\"; }\n\n.bp3-icon-new-text-box::before{\n  content:\"\"; }\n\n.bp3-icon-ninja::before{\n  content:\"\"; }\n\n.bp3-icon-not-equal-to::before{\n  content:\"\"; }\n\n.bp3-icon-notifications::before{\n  content:\"\"; }\n\n.bp3-icon-notifications-updated::before{\n  content:\"\"; }\n\n.bp3-icon-numbered-list::before{\n  content:\"\"; }\n\n.bp3-icon-numerical::before{\n  content:\"\"; }\n\n.bp3-icon-office::before{\n  content:\"\"; }\n\n.bp3-icon-offline::before{\n  content:\"\"; }\n\n.bp3-icon-oil-field::before{\n  content:\"\"; }\n\n.bp3-icon-one-column::before{\n  content:\"\"; }\n\n.bp3-icon-outdated::before{\n  content:\"\"; }\n\n.bp3-icon-page-layout::before{\n  content:\"\"; }\n\n.bp3-icon-panel-stats::before{\n  content:\"\"; }\n\n.bp3-icon-panel-table::before{\n  content:\"\"; }\n\n.bp3-icon-paperclip::before{\n  content:\"\"; }\n\n.bp3-icon-paragraph::before{\n  content:\"\"; }\n\n.bp3-icon-path::before{\n  content:\"\"; }\n\n.bp3-icon-path-search::before{\n  content:\"\"; }\n\n.bp3-icon-pause::before{\n  content:\"\"; }\n\n.bp3-icon-people::before{\n  content:\"\"; }\n\n.bp3-icon-percentage::before{\n  content:\"\"; }\n\n.bp3-icon-person::before{\n  content:\"\"; }\n\n.bp3-icon-phone::before{\n  content:\"☎\"; }\n\n.bp3-icon-pie-chart::before{\n  content:\"\"; }\n\n.bp3-icon-pin::before{\n  content:\"\"; }\n\n.bp3-icon-pivot::before{\n  content:\"\"; }\n\n.bp3-icon-pivot-table::before{\n  content:\"\"; }\n\n.bp3-icon-play::before{\n  content:\"\"; }\n\n.bp3-icon-plus::before{\n  content:\"+\"; }\n\n.bp3-icon-polygon-filter::before{\n  content:\"\"; }\n\n.bp3-icon-power::before{\n  content:\"\"; }\n\n.bp3-icon-predictive-analysis::before{\n  content:\"\"; }\n\n.bp3-icon-prescription::before{\n  content:\"\"; }\n\n.bp3-icon-presentation::before{\n  content:\"\"; }\n\n.bp3-icon-print::before{\n  content:\"⎙\"; }\n\n.bp3-icon-projects::before{\n  content:\"\"; }\n\n.bp3-icon-properties::before{\n  content:\"\"; }\n\n.bp3-icon-property::before{\n  content:\"\"; }\n\n.bp3-icon-publish-function::before{\n  content:\"\"; }\n\n.bp3-icon-pulse::before{\n  content:\"\"; }\n\n.bp3-icon-random::before{\n  content:\"\"; }\n\n.bp3-icon-record::before{\n  content:\"\"; }\n\n.bp3-icon-redo::before{\n  content:\"\"; }\n\n.bp3-icon-refresh::before{\n  content:\"\"; }\n\n.bp3-icon-regression-chart::before{\n  content:\"\"; }\n\n.bp3-icon-remove::before{\n  content:\"\"; }\n\n.bp3-icon-remove-column::before{\n  content:\"\"; }\n\n.bp3-icon-remove-column-left::before{\n  content:\"\"; }\n\n.bp3-icon-remove-column-right::before{\n  content:\"\"; }\n\n.bp3-icon-remove-row-bottom::before{\n  content:\"\"; }\n\n.bp3-icon-remove-row-top::before{\n  content:\"\"; }\n\n.bp3-icon-repeat::before{\n  content:\"\"; }\n\n.bp3-icon-reset::before{\n  content:\"\"; }\n\n.bp3-icon-resolve::before{\n  content:\"\"; }\n\n.bp3-icon-rig::before{\n  content:\"\"; }\n\n.bp3-icon-right-join::before{\n  content:\"\"; }\n\n.bp3-icon-ring::before{\n  content:\"\"; }\n\n.bp3-icon-rotate-document::before{\n  content:\"\"; }\n\n.bp3-icon-rotate-page::before{\n  content:\"\"; }\n\n.bp3-icon-satellite::before{\n  content:\"\"; }\n\n.bp3-icon-saved::before{\n  content:\"\"; }\n\n.bp3-icon-scatter-plot::before{\n  content:\"\"; }\n\n.bp3-icon-search::before{\n  content:\"\"; }\n\n.bp3-icon-search-around::before{\n  content:\"\"; }\n\n.bp3-icon-search-template::before{\n  content:\"\"; }\n\n.bp3-icon-search-text::before{\n  content:\"\"; }\n\n.bp3-icon-segmented-control::before{\n  content:\"\"; }\n\n.bp3-icon-select::before{\n  content:\"\"; }\n\n.bp3-icon-selection::before{\n  content:\"⦿\"; }\n\n.bp3-icon-send-to::before{\n  content:\"\"; }\n\n.bp3-icon-send-to-graph::before{\n  content:\"\"; }\n\n.bp3-icon-send-to-map::before{\n  content:\"\"; }\n\n.bp3-icon-series-add::before{\n  content:\"\"; }\n\n.bp3-icon-series-configuration::before{\n  content:\"\"; }\n\n.bp3-icon-series-derived::before{\n  content:\"\"; }\n\n.bp3-icon-series-filtered::before{\n  content:\"\"; }\n\n.bp3-icon-series-search::before{\n  content:\"\"; }\n\n.bp3-icon-settings::before{\n  content:\"\"; }\n\n.bp3-icon-share::before{\n  content:\"\"; }\n\n.bp3-icon-shield::before{\n  content:\"\"; }\n\n.bp3-icon-shop::before{\n  content:\"\"; }\n\n.bp3-icon-shopping-cart::before{\n  content:\"\"; }\n\n.bp3-icon-signal-search::before{\n  content:\"\"; }\n\n.bp3-icon-sim-card::before{\n  content:\"\"; }\n\n.bp3-icon-slash::before{\n  content:\"\"; }\n\n.bp3-icon-small-cross::before{\n  content:\"\"; }\n\n.bp3-icon-small-minus::before{\n  content:\"\"; }\n\n.bp3-icon-small-plus::before{\n  content:\"\"; }\n\n.bp3-icon-small-tick::before{\n  content:\"\"; }\n\n.bp3-icon-snowflake::before{\n  content:\"\"; }\n\n.bp3-icon-social-media::before{\n  content:\"\"; }\n\n.bp3-icon-sort::before{\n  content:\"\"; }\n\n.bp3-icon-sort-alphabetical::before{\n  content:\"\"; }\n\n.bp3-icon-sort-alphabetical-desc::before{\n  content:\"\"; }\n\n.bp3-icon-sort-asc::before{\n  content:\"\"; }\n\n.bp3-icon-sort-desc::before{\n  content:\"\"; }\n\n.bp3-icon-sort-numerical::before{\n  content:\"\"; }\n\n.bp3-icon-sort-numerical-desc::before{\n  content:\"\"; }\n\n.bp3-icon-split-columns::before{\n  content:\"\"; }\n\n.bp3-icon-square::before{\n  content:\"\"; }\n\n.bp3-icon-stacked-chart::before{\n  content:\"\"; }\n\n.bp3-icon-star::before{\n  content:\"★\"; }\n\n.bp3-icon-star-empty::before{\n  content:\"☆\"; }\n\n.bp3-icon-step-backward::before{\n  content:\"\"; }\n\n.bp3-icon-step-chart::before{\n  content:\"\"; }\n\n.bp3-icon-step-forward::before{\n  content:\"\"; }\n\n.bp3-icon-stop::before{\n  content:\"\"; }\n\n.bp3-icon-stopwatch::before{\n  content:\"\"; }\n\n.bp3-icon-strikethrough::before{\n  content:\"\"; }\n\n.bp3-icon-style::before{\n  content:\"\"; }\n\n.bp3-icon-swap-horizontal::before{\n  content:\"\"; }\n\n.bp3-icon-swap-vertical::before{\n  content:\"\"; }\n\n.bp3-icon-symbol-circle::before{\n  content:\"\"; }\n\n.bp3-icon-symbol-cross::before{\n  content:\"\"; }\n\n.bp3-icon-symbol-diamond::before{\n  content:\"\"; }\n\n.bp3-icon-symbol-square::before{\n  content:\"\"; }\n\n.bp3-icon-symbol-triangle-down::before{\n  content:\"\"; }\n\n.bp3-icon-symbol-triangle-up::before{\n  content:\"\"; }\n\n.bp3-icon-tag::before{\n  content:\"\"; }\n\n.bp3-icon-take-action::before{\n  content:\"\"; }\n\n.bp3-icon-taxi::before{\n  content:\"\"; }\n\n.bp3-icon-text-highlight::before{\n  content:\"\"; }\n\n.bp3-icon-th::before{\n  content:\"\"; }\n\n.bp3-icon-th-derived::before{\n  content:\"\"; }\n\n.bp3-icon-th-disconnect::before{\n  content:\"\"; }\n\n.bp3-icon-th-filtered::before{\n  content:\"\"; }\n\n.bp3-icon-th-list::before{\n  content:\"\"; }\n\n.bp3-icon-thumbs-down::before{\n  content:\"\"; }\n\n.bp3-icon-thumbs-up::before{\n  content:\"\"; }\n\n.bp3-icon-tick::before{\n  content:\"✓\"; }\n\n.bp3-icon-tick-circle::before{\n  content:\"\"; }\n\n.bp3-icon-time::before{\n  content:\"⏲\"; }\n\n.bp3-icon-timeline-area-chart::before{\n  content:\"\"; }\n\n.bp3-icon-timeline-bar-chart::before{\n  content:\"\"; }\n\n.bp3-icon-timeline-events::before{\n  content:\"\"; }\n\n.bp3-icon-timeline-line-chart::before{\n  content:\"\"; }\n\n.bp3-icon-tint::before{\n  content:\"\"; }\n\n.bp3-icon-torch::before{\n  content:\"\"; }\n\n.bp3-icon-tractor::before{\n  content:\"\"; }\n\n.bp3-icon-train::before{\n  content:\"\"; }\n\n.bp3-icon-translate::before{\n  content:\"\"; }\n\n.bp3-icon-trash::before{\n  content:\"\"; }\n\n.bp3-icon-tree::before{\n  content:\"\"; }\n\n.bp3-icon-trending-down::before{\n  content:\"\"; }\n\n.bp3-icon-trending-up::before{\n  content:\"\"; }\n\n.bp3-icon-truck::before{\n  content:\"\"; }\n\n.bp3-icon-two-columns::before{\n  content:\"\"; }\n\n.bp3-icon-unarchive::before{\n  content:\"\"; }\n\n.bp3-icon-underline::before{\n  content:\"⎁\"; }\n\n.bp3-icon-undo::before{\n  content:\"⎌\"; }\n\n.bp3-icon-ungroup-objects::before{\n  content:\"\"; }\n\n.bp3-icon-unknown-vehicle::before{\n  content:\"\"; }\n\n.bp3-icon-unlock::before{\n  content:\"\"; }\n\n.bp3-icon-unpin::before{\n  content:\"\"; }\n\n.bp3-icon-unresolve::before{\n  content:\"\"; }\n\n.bp3-icon-updated::before{\n  content:\"\"; }\n\n.bp3-icon-upload::before{\n  content:\"\"; }\n\n.bp3-icon-user::before{\n  content:\"\"; }\n\n.bp3-icon-variable::before{\n  content:\"\"; }\n\n.bp3-icon-vertical-bar-chart-asc::before{\n  content:\"\"; }\n\n.bp3-icon-vertical-bar-chart-desc::before{\n  content:\"\"; }\n\n.bp3-icon-vertical-distribution::before{\n  content:\"\"; }\n\n.bp3-icon-video::before{\n  content:\"\"; }\n\n.bp3-icon-volume-down::before{\n  content:\"\"; }\n\n.bp3-icon-volume-off::before{\n  content:\"\"; }\n\n.bp3-icon-volume-up::before{\n  content:\"\"; }\n\n.bp3-icon-walk::before{\n  content:\"\"; }\n\n.bp3-icon-warning-sign::before{\n  content:\"\"; }\n\n.bp3-icon-waterfall-chart::before{\n  content:\"\"; }\n\n.bp3-icon-widget::before{\n  content:\"\"; }\n\n.bp3-icon-widget-button::before{\n  content:\"\"; }\n\n.bp3-icon-widget-footer::before{\n  content:\"\"; }\n\n.bp3-icon-widget-header::before{\n  content:\"\"; }\n\n.bp3-icon-wrench::before{\n  content:\"\"; }\n\n.bp3-icon-zoom-in::before{\n  content:\"\"; }\n\n.bp3-icon-zoom-out::before{\n  content:\"\"; }\n\n.bp3-icon-zoom-to-fit::before{\n  content:\"\"; }\n.bp3-submenu > .bp3-popover-wrapper{\n  display:block; }\n\n.bp3-submenu .bp3-popover-target{\n  display:block; }\n  .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-menu-item{ }\n\n.bp3-submenu.bp3-popover{\n  -webkit-box-shadow:none;\n          box-shadow:none;\n  padding:0 5px; }\n  .bp3-submenu.bp3-popover > .bp3-popover-content{\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2); }\n  .bp3-dark .bp3-submenu.bp3-popover, .bp3-submenu.bp3-popover.bp3-dark{\n    -webkit-box-shadow:none;\n            box-shadow:none; }\n    .bp3-dark .bp3-submenu.bp3-popover > .bp3-popover-content, .bp3-submenu.bp3-popover.bp3-dark > .bp3-popover-content{\n      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);\n              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4); }\n.bp3-menu{\n  background:#ffffff;\n  border-radius:3px;\n  color:#182026;\n  list-style:none;\n  margin:0;\n  min-width:180px;\n  padding:5px;\n  text-align:left; }\n\n.bp3-menu-divider{\n  border-top:1px solid rgba(16, 22, 26, 0.15);\n  display:block;\n  margin:5px; }\n  .bp3-dark .bp3-menu-divider{\n    border-top-color:rgba(255, 255, 255, 0.15); }\n\n.bp3-menu-item{\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -webkit-box-orient:horizontal;\n  -webkit-box-direction:normal;\n      -ms-flex-direction:row;\n          flex-direction:row;\n  -webkit-box-align:start;\n      -ms-flex-align:start;\n          align-items:flex-start;\n  border-radius:2px;\n  color:inherit;\n  line-height:20px;\n  padding:5px 7px;\n  text-decoration:none;\n  -webkit-user-select:none;\n     -moz-user-select:none;\n      -ms-user-select:none;\n          user-select:none; }\n  .bp3-menu-item > *{\n    -webkit-box-flex:0;\n        -ms-flex-positive:0;\n            flex-grow:0;\n    -ms-flex-negative:0;\n        flex-shrink:0; }\n  .bp3-menu-item > .bp3-fill{\n    -webkit-box-flex:1;\n        -ms-flex-positive:1;\n            flex-grow:1;\n    -ms-flex-negative:1;\n        flex-shrink:1; }\n  .bp3-menu-item::before,\n  .bp3-menu-item > *{\n    margin-right:7px; }\n  .bp3-menu-item:empty::before,\n  .bp3-menu-item > :last-child{\n    margin-right:0; }\n  .bp3-menu-item > .bp3-fill{\n    word-break:break-word; }\n  .bp3-menu-item:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-menu-item{\n    background-color:rgba(167, 182, 194, 0.3);\n    cursor:pointer;\n    text-decoration:none; }\n  .bp3-menu-item.bp3-disabled{\n    background-color:inherit;\n    color:rgba(92, 112, 128, 0.6);\n    cursor:not-allowed; }\n  .bp3-dark .bp3-menu-item{\n    color:inherit; }\n    .bp3-dark .bp3-menu-item:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-menu-item{\n      background-color:rgba(138, 155, 168, 0.15);\n      color:inherit; }\n    .bp3-dark .bp3-menu-item.bp3-disabled{\n      background-color:inherit;\n      color:rgba(167, 182, 194, 0.6); }\n  .bp3-menu-item.bp3-intent-primary{\n    color:#106ba3; }\n    .bp3-menu-item.bp3-intent-primary .bp3-icon{\n      color:inherit; }\n    .bp3-menu-item.bp3-intent-primary::before, .bp3-menu-item.bp3-intent-primary::after,\n    .bp3-menu-item.bp3-intent-primary .bp3-menu-item-label{\n      color:#106ba3; }\n    .bp3-menu-item.bp3-intent-primary:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item, .bp3-menu-item.bp3-intent-primary.bp3-active{\n      background-color:#137cbd; }\n    .bp3-menu-item.bp3-intent-primary:active{\n      background-color:#106ba3; }\n    .bp3-menu-item.bp3-intent-primary:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item, .bp3-menu-item.bp3-intent-primary:hover::before, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item::before, .bp3-menu-item.bp3-intent-primary:hover::after, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item::after,\n    .bp3-menu-item.bp3-intent-primary:hover .bp3-menu-item-label,\n    .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item .bp3-menu-item-label, .bp3-menu-item.bp3-intent-primary:active, .bp3-menu-item.bp3-intent-primary:active::before, .bp3-menu-item.bp3-intent-primary:active::after,\n    .bp3-menu-item.bp3-intent-primary:active .bp3-menu-item-label, .bp3-menu-item.bp3-intent-primary.bp3-active, .bp3-menu-item.bp3-intent-primary.bp3-active::before, .bp3-menu-item.bp3-intent-primary.bp3-active::after,\n    .bp3-menu-item.bp3-intent-primary.bp3-active .bp3-menu-item-label{\n      color:#ffffff; }\n  .bp3-menu-item.bp3-intent-success{\n    color:#0d8050; }\n    .bp3-menu-item.bp3-intent-success .bp3-icon{\n      color:inherit; }\n    .bp3-menu-item.bp3-intent-success::before, .bp3-menu-item.bp3-intent-success::after,\n    .bp3-menu-item.bp3-intent-success .bp3-menu-item-label{\n      color:#0d8050; }\n    .bp3-menu-item.bp3-intent-success:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item, .bp3-menu-item.bp3-intent-success.bp3-active{\n      background-color:#0f9960; }\n    .bp3-menu-item.bp3-intent-success:active{\n      background-color:#0d8050; }\n    .bp3-menu-item.bp3-intent-success:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item, .bp3-menu-item.bp3-intent-success:hover::before, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item::before, .bp3-menu-item.bp3-intent-success:hover::after, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item::after,\n    .bp3-menu-item.bp3-intent-success:hover .bp3-menu-item-label,\n    .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item .bp3-menu-item-label, .bp3-menu-item.bp3-intent-success:active, .bp3-menu-item.bp3-intent-success:active::before, .bp3-menu-item.bp3-intent-success:active::after,\n    .bp3-menu-item.bp3-intent-success:active .bp3-menu-item-label, .bp3-menu-item.bp3-intent-success.bp3-active, .bp3-menu-item.bp3-intent-success.bp3-active::before, .bp3-menu-item.bp3-intent-success.bp3-active::after,\n    .bp3-menu-item.bp3-intent-success.bp3-active .bp3-menu-item-label{\n      color:#ffffff; }\n  .bp3-menu-item.bp3-intent-warning{\n    color:#bf7326; }\n    .bp3-menu-item.bp3-intent-warning .bp3-icon{\n      color:inherit; }\n    .bp3-menu-item.bp3-intent-warning::before, .bp3-menu-item.bp3-intent-warning::after,\n    .bp3-menu-item.bp3-intent-warning .bp3-menu-item-label{\n      color:#bf7326; }\n    .bp3-menu-item.bp3-intent-warning:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item, .bp3-menu-item.bp3-intent-warning.bp3-active{\n      background-color:#d9822b; }\n    .bp3-menu-item.bp3-intent-warning:active{\n      background-color:#bf7326; }\n    .bp3-menu-item.bp3-intent-warning:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item, .bp3-menu-item.bp3-intent-warning:hover::before, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item::before, .bp3-menu-item.bp3-intent-warning:hover::after, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item::after,\n    .bp3-menu-item.bp3-intent-warning:hover .bp3-menu-item-label,\n    .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item .bp3-menu-item-label, .bp3-menu-item.bp3-intent-warning:active, .bp3-menu-item.bp3-intent-warning:active::before, .bp3-menu-item.bp3-intent-warning:active::after,\n    .bp3-menu-item.bp3-intent-warning:active .bp3-menu-item-label, .bp3-menu-item.bp3-intent-warning.bp3-active, .bp3-menu-item.bp3-intent-warning.bp3-active::before, .bp3-menu-item.bp3-intent-warning.bp3-active::after,\n    .bp3-menu-item.bp3-intent-warning.bp3-active .bp3-menu-item-label{\n      color:#ffffff; }\n  .bp3-menu-item.bp3-intent-danger{\n    color:#c23030; }\n    .bp3-menu-item.bp3-intent-danger .bp3-icon{\n      color:inherit; }\n    .bp3-menu-item.bp3-intent-danger::before, .bp3-menu-item.bp3-intent-danger::after,\n    .bp3-menu-item.bp3-intent-danger .bp3-menu-item-label{\n      color:#c23030; }\n    .bp3-menu-item.bp3-intent-danger:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item, .bp3-menu-item.bp3-intent-danger.bp3-active{\n      background-color:#db3737; }\n    .bp3-menu-item.bp3-intent-danger:active{\n      background-color:#c23030; }\n    .bp3-menu-item.bp3-intent-danger:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item, .bp3-menu-item.bp3-intent-danger:hover::before, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item::before, .bp3-menu-item.bp3-intent-danger:hover::after, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item::after,\n    .bp3-menu-item.bp3-intent-danger:hover .bp3-menu-item-label,\n    .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item .bp3-menu-item-label, .bp3-menu-item.bp3-intent-danger:active, .bp3-menu-item.bp3-intent-danger:active::before, .bp3-menu-item.bp3-intent-danger:active::after,\n    .bp3-menu-item.bp3-intent-danger:active .bp3-menu-item-label, .bp3-menu-item.bp3-intent-danger.bp3-active, .bp3-menu-item.bp3-intent-danger.bp3-active::before, .bp3-menu-item.bp3-intent-danger.bp3-active::after,\n    .bp3-menu-item.bp3-intent-danger.bp3-active .bp3-menu-item-label{\n      color:#ffffff; }\n  .bp3-menu-item::before{\n    font-family:\"Icons16\", sans-serif;\n    font-size:16px;\n    font-style:normal;\n    font-weight:400;\n    line-height:1;\n    -moz-osx-font-smoothing:grayscale;\n    -webkit-font-smoothing:antialiased;\n    margin-right:7px; }\n  .bp3-menu-item::before,\n  .bp3-menu-item > .bp3-icon{\n    color:#5c7080;\n    margin-top:2px; }\n  .bp3-menu-item .bp3-menu-item-label{\n    color:#5c7080; }\n  .bp3-menu-item:hover, .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-menu-item{\n    color:inherit; }\n  .bp3-menu-item.bp3-active, .bp3-menu-item:active{\n    background-color:rgba(115, 134, 148, 0.3); }\n  .bp3-menu-item.bp3-disabled{\n    background-color:inherit !important;\n    color:rgba(92, 112, 128, 0.6) !important;\n    cursor:not-allowed !important;\n    outline:none !important; }\n    .bp3-menu-item.bp3-disabled::before,\n    .bp3-menu-item.bp3-disabled > .bp3-icon,\n    .bp3-menu-item.bp3-disabled .bp3-menu-item-label{\n      color:rgba(92, 112, 128, 0.6) !important; }\n  .bp3-large .bp3-menu-item{\n    font-size:16px;\n    line-height:22px;\n    padding:9px 7px; }\n    .bp3-large .bp3-menu-item .bp3-icon{\n      margin-top:3px; }\n    .bp3-large .bp3-menu-item::before{\n      font-family:\"Icons20\", sans-serif;\n      font-size:20px;\n      font-style:normal;\n      font-weight:400;\n      line-height:1;\n      -moz-osx-font-smoothing:grayscale;\n      -webkit-font-smoothing:antialiased;\n      margin-right:10px;\n      margin-top:1px; }\n\nbutton.bp3-menu-item{\n  background:none;\n  border:none;\n  text-align:left;\n  width:100%; }\n.bp3-menu-header{\n  border-top:1px solid rgba(16, 22, 26, 0.15);\n  display:block;\n  margin:5px;\n  cursor:default;\n  padding-left:2px; }\n  .bp3-dark .bp3-menu-header{\n    border-top-color:rgba(255, 255, 255, 0.15); }\n  .bp3-menu-header:first-of-type{\n    border-top:none; }\n  .bp3-menu-header > h6{\n    color:#182026;\n    font-weight:600;\n    overflow:hidden;\n    text-overflow:ellipsis;\n    white-space:nowrap;\n    word-wrap:normal;\n    line-height:17px;\n    margin:0;\n    padding:10px 7px 0 1px; }\n    .bp3-dark .bp3-menu-header > h6{\n      color:#f5f8fa; }\n  .bp3-menu-header:first-of-type > h6{\n    padding-top:0; }\n  .bp3-large .bp3-menu-header > h6{\n    font-size:18px;\n    padding-bottom:5px;\n    padding-top:15px; }\n  .bp3-large .bp3-menu-header:first-of-type > h6{\n    padding-top:0; }\n\n.bp3-dark .bp3-menu{\n  background:#30404d;\n  color:#f5f8fa; }\n\n.bp3-dark .bp3-menu-item{ }\n  .bp3-dark .bp3-menu-item.bp3-intent-primary{\n    color:#48aff0; }\n    .bp3-dark .bp3-menu-item.bp3-intent-primary .bp3-icon{\n      color:inherit; }\n    .bp3-dark .bp3-menu-item.bp3-intent-primary::before, .bp3-dark .bp3-menu-item.bp3-intent-primary::after,\n    .bp3-dark .bp3-menu-item.bp3-intent-primary .bp3-menu-item-label{\n      color:#48aff0; }\n    .bp3-dark .bp3-menu-item.bp3-intent-primary:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-primary.bp3-active{\n      background-color:#137cbd; }\n    .bp3-dark .bp3-menu-item.bp3-intent-primary:active{\n      background-color:#106ba3; }\n    .bp3-dark .bp3-menu-item.bp3-intent-primary:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-primary:hover::before, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item::before, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item::before, .bp3-dark .bp3-menu-item.bp3-intent-primary:hover::after, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item::after, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item::after,\n    .bp3-dark .bp3-menu-item.bp3-intent-primary:hover .bp3-menu-item-label,\n    .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item .bp3-menu-item-label,\n    .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-primary.bp3-menu-item .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-primary:active, .bp3-dark .bp3-menu-item.bp3-intent-primary:active::before, .bp3-dark .bp3-menu-item.bp3-intent-primary:active::after,\n    .bp3-dark .bp3-menu-item.bp3-intent-primary:active .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-primary.bp3-active, .bp3-dark .bp3-menu-item.bp3-intent-primary.bp3-active::before, .bp3-dark .bp3-menu-item.bp3-intent-primary.bp3-active::after,\n    .bp3-dark .bp3-menu-item.bp3-intent-primary.bp3-active .bp3-menu-item-label{\n      color:#ffffff; }\n  .bp3-dark .bp3-menu-item.bp3-intent-success{\n    color:#3dcc91; }\n    .bp3-dark .bp3-menu-item.bp3-intent-success .bp3-icon{\n      color:inherit; }\n    .bp3-dark .bp3-menu-item.bp3-intent-success::before, .bp3-dark .bp3-menu-item.bp3-intent-success::after,\n    .bp3-dark .bp3-menu-item.bp3-intent-success .bp3-menu-item-label{\n      color:#3dcc91; }\n    .bp3-dark .bp3-menu-item.bp3-intent-success:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-success.bp3-active{\n      background-color:#0f9960; }\n    .bp3-dark .bp3-menu-item.bp3-intent-success:active{\n      background-color:#0d8050; }\n    .bp3-dark .bp3-menu-item.bp3-intent-success:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-success:hover::before, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item::before, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item::before, .bp3-dark .bp3-menu-item.bp3-intent-success:hover::after, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item::after, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item::after,\n    .bp3-dark .bp3-menu-item.bp3-intent-success:hover .bp3-menu-item-label,\n    .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item .bp3-menu-item-label,\n    .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-success.bp3-menu-item .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-success:active, .bp3-dark .bp3-menu-item.bp3-intent-success:active::before, .bp3-dark .bp3-menu-item.bp3-intent-success:active::after,\n    .bp3-dark .bp3-menu-item.bp3-intent-success:active .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-success.bp3-active, .bp3-dark .bp3-menu-item.bp3-intent-success.bp3-active::before, .bp3-dark .bp3-menu-item.bp3-intent-success.bp3-active::after,\n    .bp3-dark .bp3-menu-item.bp3-intent-success.bp3-active .bp3-menu-item-label{\n      color:#ffffff; }\n  .bp3-dark .bp3-menu-item.bp3-intent-warning{\n    color:#ffb366; }\n    .bp3-dark .bp3-menu-item.bp3-intent-warning .bp3-icon{\n      color:inherit; }\n    .bp3-dark .bp3-menu-item.bp3-intent-warning::before, .bp3-dark .bp3-menu-item.bp3-intent-warning::after,\n    .bp3-dark .bp3-menu-item.bp3-intent-warning .bp3-menu-item-label{\n      color:#ffb366; }\n    .bp3-dark .bp3-menu-item.bp3-intent-warning:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-warning.bp3-active{\n      background-color:#d9822b; }\n    .bp3-dark .bp3-menu-item.bp3-intent-warning:active{\n      background-color:#bf7326; }\n    .bp3-dark .bp3-menu-item.bp3-intent-warning:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-warning:hover::before, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item::before, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item::before, .bp3-dark .bp3-menu-item.bp3-intent-warning:hover::after, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item::after, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item::after,\n    .bp3-dark .bp3-menu-item.bp3-intent-warning:hover .bp3-menu-item-label,\n    .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item .bp3-menu-item-label,\n    .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-warning.bp3-menu-item .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-warning:active, .bp3-dark .bp3-menu-item.bp3-intent-warning:active::before, .bp3-dark .bp3-menu-item.bp3-intent-warning:active::after,\n    .bp3-dark .bp3-menu-item.bp3-intent-warning:active .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-warning.bp3-active, .bp3-dark .bp3-menu-item.bp3-intent-warning.bp3-active::before, .bp3-dark .bp3-menu-item.bp3-intent-warning.bp3-active::after,\n    .bp3-dark .bp3-menu-item.bp3-intent-warning.bp3-active .bp3-menu-item-label{\n      color:#ffffff; }\n  .bp3-dark .bp3-menu-item.bp3-intent-danger{\n    color:#ff7373; }\n    .bp3-dark .bp3-menu-item.bp3-intent-danger .bp3-icon{\n      color:inherit; }\n    .bp3-dark .bp3-menu-item.bp3-intent-danger::before, .bp3-dark .bp3-menu-item.bp3-intent-danger::after,\n    .bp3-dark .bp3-menu-item.bp3-intent-danger .bp3-menu-item-label{\n      color:#ff7373; }\n    .bp3-dark .bp3-menu-item.bp3-intent-danger:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-danger.bp3-active{\n      background-color:#db3737; }\n    .bp3-dark .bp3-menu-item.bp3-intent-danger:active{\n      background-color:#c23030; }\n    .bp3-dark .bp3-menu-item.bp3-intent-danger:hover, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item, .bp3-dark .bp3-menu-item.bp3-intent-danger:hover::before, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item::before, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item::before, .bp3-dark .bp3-menu-item.bp3-intent-danger:hover::after, .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item::after, .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item::after,\n    .bp3-dark .bp3-menu-item.bp3-intent-danger:hover .bp3-menu-item-label,\n    .bp3-dark .bp3-submenu .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item .bp3-menu-item-label,\n    .bp3-submenu .bp3-dark .bp3-popover-target.bp3-popover-open > .bp3-intent-danger.bp3-menu-item .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-danger:active, .bp3-dark .bp3-menu-item.bp3-intent-danger:active::before, .bp3-dark .bp3-menu-item.bp3-intent-danger:active::after,\n    .bp3-dark .bp3-menu-item.bp3-intent-danger:active .bp3-menu-item-label, .bp3-dark .bp3-menu-item.bp3-intent-danger.bp3-active, .bp3-dark .bp3-menu-item.bp3-intent-danger.bp3-active::before, .bp3-dark .bp3-menu-item.bp3-intent-danger.bp3-active::after,\n    .bp3-dark .bp3-menu-item.bp3-intent-danger.bp3-active .bp3-menu-item-label{\n      color:#ffffff; }\n  .bp3-dark .bp3-menu-item::before,\n  .bp3-dark .bp3-menu-item > .bp3-icon{\n    color:#a7b6c2; }\n  .bp3-dark .bp3-menu-item .bp3-menu-item-label{\n    color:#a7b6c2; }\n  .bp3-dark .bp3-menu-item.bp3-active, .bp3-dark .bp3-menu-item:active{\n    background-color:rgba(138, 155, 168, 0.3); }\n  .bp3-dark .bp3-menu-item.bp3-disabled{\n    color:rgba(167, 182, 194, 0.6) !important; }\n    .bp3-dark .bp3-menu-item.bp3-disabled::before,\n    .bp3-dark .bp3-menu-item.bp3-disabled > .bp3-icon,\n    .bp3-dark .bp3-menu-item.bp3-disabled .bp3-menu-item-label{\n      color:rgba(167, 182, 194, 0.6) !important; }\n\n.bp3-dark .bp3-menu-divider,\n.bp3-dark .bp3-menu-header{\n  border-color:rgba(255, 255, 255, 0.15); }\n\n.bp3-dark .bp3-menu-header > h6{\n  color:#f5f8fa; }\n\n.bp3-label .bp3-menu{\n  margin-top:5px; }\n.bp3-navbar{\n  background-color:#ffffff;\n  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.2);\n          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.2);\n  height:50px;\n  padding:0 15px;\n  position:relative;\n  width:100%;\n  z-index:10; }\n  .bp3-navbar.bp3-dark,\n  .bp3-dark .bp3-navbar{\n    background-color:#394b59; }\n  .bp3-navbar.bp3-dark{\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4); }\n  .bp3-dark .bp3-navbar{\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 0 0 rgba(16, 22, 26, 0), 0 1px 1px rgba(16, 22, 26, 0.4); }\n  .bp3-navbar.bp3-fixed-top{\n    left:0;\n    position:fixed;\n    right:0;\n    top:0; }\n\n.bp3-navbar-heading{\n  font-size:16px;\n  margin-right:15px; }\n\n.bp3-navbar-group{\n  -webkit-box-align:center;\n      -ms-flex-align:center;\n          align-items:center;\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  height:50px; }\n  .bp3-navbar-group.bp3-align-left{\n    float:left; }\n  .bp3-navbar-group.bp3-align-right{\n    float:right; }\n\n.bp3-navbar-divider{\n  border-left:1px solid rgba(16, 22, 26, 0.15);\n  height:20px;\n  margin:0 10px; }\n  .bp3-dark .bp3-navbar-divider{\n    border-left-color:rgba(255, 255, 255, 0.15); }\n.bp3-non-ideal-state{\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -webkit-box-orient:vertical;\n  -webkit-box-direction:normal;\n      -ms-flex-direction:column;\n          flex-direction:column;\n  -webkit-box-align:center;\n      -ms-flex-align:center;\n          align-items:center;\n  height:100%;\n  -webkit-box-pack:center;\n      -ms-flex-pack:center;\n          justify-content:center;\n  text-align:center;\n  width:100%; }\n  .bp3-non-ideal-state > *{\n    -webkit-box-flex:0;\n        -ms-flex-positive:0;\n            flex-grow:0;\n    -ms-flex-negative:0;\n        flex-shrink:0; }\n  .bp3-non-ideal-state > .bp3-fill{\n    -webkit-box-flex:1;\n        -ms-flex-positive:1;\n            flex-grow:1;\n    -ms-flex-negative:1;\n        flex-shrink:1; }\n  .bp3-non-ideal-state::before,\n  .bp3-non-ideal-state > *{\n    margin-bottom:20px; }\n  .bp3-non-ideal-state:empty::before,\n  .bp3-non-ideal-state > :last-child{\n    margin-bottom:0; }\n  .bp3-non-ideal-state > *{\n    max-width:400px; }\n\n.bp3-non-ideal-state-visual{\n  color:rgba(92, 112, 128, 0.6);\n  font-size:60px; }\n  .bp3-dark .bp3-non-ideal-state-visual{\n    color:rgba(167, 182, 194, 0.6); }\n\n.bp3-overflow-list{\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -ms-flex-wrap:nowrap;\n      flex-wrap:nowrap;\n  min-width:0; }\n\n.bp3-overflow-list-spacer{\n  -ms-flex-negative:1;\n      flex-shrink:1;\n  width:1px; }\n\nbody.bp3-overlay-open{\n  overflow:hidden; }\n\n.bp3-overlay{\n  bottom:0;\n  left:0;\n  position:static;\n  right:0;\n  top:0;\n  z-index:20; }\n  .bp3-overlay:not(.bp3-overlay-open){\n    pointer-events:none; }\n  .bp3-overlay.bp3-overlay-container{\n    overflow:hidden;\n    position:fixed; }\n    .bp3-overlay.bp3-overlay-container.bp3-overlay-inline{\n      position:absolute; }\n  .bp3-overlay.bp3-overlay-scroll-container{\n    overflow:auto;\n    position:fixed; }\n    .bp3-overlay.bp3-overlay-scroll-container.bp3-overlay-inline{\n      position:absolute; }\n  .bp3-overlay.bp3-overlay-inline{\n    display:inline;\n    overflow:visible; }\n\n.bp3-overlay-content{\n  position:fixed;\n  z-index:20; }\n  .bp3-overlay-inline .bp3-overlay-content,\n  .bp3-overlay-scroll-container .bp3-overlay-content{\n    position:absolute; }\n\n.bp3-overlay-backdrop{\n  bottom:0;\n  left:0;\n  position:fixed;\n  right:0;\n  top:0;\n  opacity:1;\n  background-color:rgba(16, 22, 26, 0.7);\n  overflow:auto;\n  -webkit-user-select:none;\n     -moz-user-select:none;\n      -ms-user-select:none;\n          user-select:none;\n  z-index:20; }\n  .bp3-overlay-backdrop.bp3-overlay-enter, .bp3-overlay-backdrop.bp3-overlay-appear{\n    opacity:0; }\n  .bp3-overlay-backdrop.bp3-overlay-enter-active, .bp3-overlay-backdrop.bp3-overlay-appear-active{\n    opacity:1;\n    -webkit-transition-delay:0;\n            transition-delay:0;\n    -webkit-transition-duration:200ms;\n            transition-duration:200ms;\n    -webkit-transition-property:opacity;\n    transition-property:opacity;\n    -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-overlay-backdrop.bp3-overlay-exit{\n    opacity:1; }\n  .bp3-overlay-backdrop.bp3-overlay-exit-active{\n    opacity:0;\n    -webkit-transition-delay:0;\n            transition-delay:0;\n    -webkit-transition-duration:200ms;\n            transition-duration:200ms;\n    -webkit-transition-property:opacity;\n    transition-property:opacity;\n    -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-overlay-backdrop:focus{\n    outline:none; }\n  .bp3-overlay-inline .bp3-overlay-backdrop{\n    position:absolute; }\n.bp3-panel-stack{\n  overflow:hidden;\n  position:relative; }\n\n.bp3-panel-stack-header{\n  -webkit-box-align:center;\n      -ms-flex-align:center;\n          align-items:center;\n  -webkit-box-shadow:0 1px rgba(16, 22, 26, 0.15);\n          box-shadow:0 1px rgba(16, 22, 26, 0.15);\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -ms-flex-negative:0;\n      flex-shrink:0;\n  height:30px;\n  z-index:1; }\n  .bp3-dark .bp3-panel-stack-header{\n    -webkit-box-shadow:0 1px rgba(255, 255, 255, 0.15);\n            box-shadow:0 1px rgba(255, 255, 255, 0.15); }\n  .bp3-panel-stack-header > span{\n    -webkit-box-align:stretch;\n        -ms-flex-align:stretch;\n            align-items:stretch;\n    display:-webkit-box;\n    display:-ms-flexbox;\n    display:flex;\n    -webkit-box-flex:1;\n        -ms-flex:1;\n            flex:1; }\n  .bp3-panel-stack-header .bp3-heading{\n    margin:0 5px; }\n\n.bp3-button.bp3-panel-stack-header-back{\n  margin-left:5px;\n  padding-left:0;\n  white-space:nowrap; }\n  .bp3-button.bp3-panel-stack-header-back .bp3-icon{\n    margin:0 2px; }\n\n.bp3-panel-stack-view{\n  bottom:0;\n  left:0;\n  position:absolute;\n  right:0;\n  top:0;\n  background-color:#ffffff;\n  border-right:1px solid rgba(16, 22, 26, 0.15);\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -webkit-box-orient:vertical;\n  -webkit-box-direction:normal;\n      -ms-flex-direction:column;\n          flex-direction:column;\n  margin-right:-1px;\n  overflow-y:auto;\n  z-index:1; }\n  .bp3-dark .bp3-panel-stack-view{\n    background-color:#30404d; }\n  .bp3-panel-stack-view:nth-last-child(n + 4){\n    display:none; }\n\n.bp3-panel-stack-push .bp3-panel-stack-enter, .bp3-panel-stack-push .bp3-panel-stack-appear{\n  -webkit-transform:translateX(100%);\n          transform:translateX(100%);\n  opacity:0; }\n\n.bp3-panel-stack-push .bp3-panel-stack-enter-active, .bp3-panel-stack-push .bp3-panel-stack-appear-active{\n  -webkit-transform:translate(0%);\n          transform:translate(0%);\n  opacity:1;\n  -webkit-transition-delay:0;\n          transition-delay:0;\n  -webkit-transition-duration:400ms;\n          transition-duration:400ms;\n  -webkit-transition-property:opacity, -webkit-transform;\n  transition-property:opacity, -webkit-transform;\n  transition-property:transform, opacity;\n  transition-property:transform, opacity, -webkit-transform;\n  -webkit-transition-timing-function:ease;\n          transition-timing-function:ease; }\n\n.bp3-panel-stack-push .bp3-panel-stack-exit{\n  -webkit-transform:translate(0%);\n          transform:translate(0%);\n  opacity:1; }\n\n.bp3-panel-stack-push .bp3-panel-stack-exit-active{\n  -webkit-transform:translateX(-50%);\n          transform:translateX(-50%);\n  opacity:0;\n  -webkit-transition-delay:0;\n          transition-delay:0;\n  -webkit-transition-duration:400ms;\n          transition-duration:400ms;\n  -webkit-transition-property:opacity, -webkit-transform;\n  transition-property:opacity, -webkit-transform;\n  transition-property:transform, opacity;\n  transition-property:transform, opacity, -webkit-transform;\n  -webkit-transition-timing-function:ease;\n          transition-timing-function:ease; }\n\n.bp3-panel-stack-pop .bp3-panel-stack-enter, .bp3-panel-stack-pop .bp3-panel-stack-appear{\n  -webkit-transform:translateX(-50%);\n          transform:translateX(-50%);\n  opacity:0; }\n\n.bp3-panel-stack-pop .bp3-panel-stack-enter-active, .bp3-panel-stack-pop .bp3-panel-stack-appear-active{\n  -webkit-transform:translate(0%);\n          transform:translate(0%);\n  opacity:1;\n  -webkit-transition-delay:0;\n          transition-delay:0;\n  -webkit-transition-duration:400ms;\n          transition-duration:400ms;\n  -webkit-transition-property:opacity, -webkit-transform;\n  transition-property:opacity, -webkit-transform;\n  transition-property:transform, opacity;\n  transition-property:transform, opacity, -webkit-transform;\n  -webkit-transition-timing-function:ease;\n          transition-timing-function:ease; }\n\n.bp3-panel-stack-pop .bp3-panel-stack-exit{\n  -webkit-transform:translate(0%);\n          transform:translate(0%);\n  opacity:1; }\n\n.bp3-panel-stack-pop .bp3-panel-stack-exit-active{\n  -webkit-transform:translateX(100%);\n          transform:translateX(100%);\n  opacity:0;\n  -webkit-transition-delay:0;\n          transition-delay:0;\n  -webkit-transition-duration:400ms;\n          transition-duration:400ms;\n  -webkit-transition-property:opacity, -webkit-transform;\n  transition-property:opacity, -webkit-transform;\n  transition-property:transform, opacity;\n  transition-property:transform, opacity, -webkit-transform;\n  -webkit-transition-timing-function:ease;\n          transition-timing-function:ease; }\n.bp3-panel-stack2{\n  overflow:hidden;\n  position:relative; }\n\n.bp3-panel-stack2-header{\n  -webkit-box-align:center;\n      -ms-flex-align:center;\n          align-items:center;\n  -webkit-box-shadow:0 1px rgba(16, 22, 26, 0.15);\n          box-shadow:0 1px rgba(16, 22, 26, 0.15);\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -ms-flex-negative:0;\n      flex-shrink:0;\n  height:30px;\n  z-index:1; }\n  .bp3-dark .bp3-panel-stack2-header{\n    -webkit-box-shadow:0 1px rgba(255, 255, 255, 0.15);\n            box-shadow:0 1px rgba(255, 255, 255, 0.15); }\n  .bp3-panel-stack2-header > span{\n    -webkit-box-align:stretch;\n        -ms-flex-align:stretch;\n            align-items:stretch;\n    display:-webkit-box;\n    display:-ms-flexbox;\n    display:flex;\n    -webkit-box-flex:1;\n        -ms-flex:1;\n            flex:1; }\n  .bp3-panel-stack2-header .bp3-heading{\n    margin:0 5px; }\n\n.bp3-button.bp3-panel-stack2-header-back{\n  margin-left:5px;\n  padding-left:0;\n  white-space:nowrap; }\n  .bp3-button.bp3-panel-stack2-header-back .bp3-icon{\n    margin:0 2px; }\n\n.bp3-panel-stack2-view{\n  bottom:0;\n  left:0;\n  position:absolute;\n  right:0;\n  top:0;\n  background-color:#ffffff;\n  border-right:1px solid rgba(16, 22, 26, 0.15);\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -webkit-box-orient:vertical;\n  -webkit-box-direction:normal;\n      -ms-flex-direction:column;\n          flex-direction:column;\n  margin-right:-1px;\n  overflow-y:auto;\n  z-index:1; }\n  .bp3-dark .bp3-panel-stack2-view{\n    background-color:#30404d; }\n  .bp3-panel-stack2-view:nth-last-child(n + 4){\n    display:none; }\n\n.bp3-panel-stack2-push .bp3-panel-stack2-enter, .bp3-panel-stack2-push .bp3-panel-stack2-appear{\n  -webkit-transform:translateX(100%);\n          transform:translateX(100%);\n  opacity:0; }\n\n.bp3-panel-stack2-push .bp3-panel-stack2-enter-active, .bp3-panel-stack2-push .bp3-panel-stack2-appear-active{\n  -webkit-transform:translate(0%);\n          transform:translate(0%);\n  opacity:1;\n  -webkit-transition-delay:0;\n          transition-delay:0;\n  -webkit-transition-duration:400ms;\n          transition-duration:400ms;\n  -webkit-transition-property:opacity, -webkit-transform;\n  transition-property:opacity, -webkit-transform;\n  transition-property:transform, opacity;\n  transition-property:transform, opacity, -webkit-transform;\n  -webkit-transition-timing-function:ease;\n          transition-timing-function:ease; }\n\n.bp3-panel-stack2-push .bp3-panel-stack2-exit{\n  -webkit-transform:translate(0%);\n          transform:translate(0%);\n  opacity:1; }\n\n.bp3-panel-stack2-push .bp3-panel-stack2-exit-active{\n  -webkit-transform:translateX(-50%);\n          transform:translateX(-50%);\n  opacity:0;\n  -webkit-transition-delay:0;\n          transition-delay:0;\n  -webkit-transition-duration:400ms;\n          transition-duration:400ms;\n  -webkit-transition-property:opacity, -webkit-transform;\n  transition-property:opacity, -webkit-transform;\n  transition-property:transform, opacity;\n  transition-property:transform, opacity, -webkit-transform;\n  -webkit-transition-timing-function:ease;\n          transition-timing-function:ease; }\n\n.bp3-panel-stack2-pop .bp3-panel-stack2-enter, .bp3-panel-stack2-pop .bp3-panel-stack2-appear{\n  -webkit-transform:translateX(-50%);\n          transform:translateX(-50%);\n  opacity:0; }\n\n.bp3-panel-stack2-pop .bp3-panel-stack2-enter-active, .bp3-panel-stack2-pop .bp3-panel-stack2-appear-active{\n  -webkit-transform:translate(0%);\n          transform:translate(0%);\n  opacity:1;\n  -webkit-transition-delay:0;\n          transition-delay:0;\n  -webkit-transition-duration:400ms;\n          transition-duration:400ms;\n  -webkit-transition-property:opacity, -webkit-transform;\n  transition-property:opacity, -webkit-transform;\n  transition-property:transform, opacity;\n  transition-property:transform, opacity, -webkit-transform;\n  -webkit-transition-timing-function:ease;\n          transition-timing-function:ease; }\n\n.bp3-panel-stack2-pop .bp3-panel-stack2-exit{\n  -webkit-transform:translate(0%);\n          transform:translate(0%);\n  opacity:1; }\n\n.bp3-panel-stack2-pop .bp3-panel-stack2-exit-active{\n  -webkit-transform:translateX(100%);\n          transform:translateX(100%);\n  opacity:0;\n  -webkit-transition-delay:0;\n          transition-delay:0;\n  -webkit-transition-duration:400ms;\n          transition-duration:400ms;\n  -webkit-transition-property:opacity, -webkit-transform;\n  transition-property:opacity, -webkit-transform;\n  transition-property:transform, opacity;\n  transition-property:transform, opacity, -webkit-transform;\n  -webkit-transition-timing-function:ease;\n          transition-timing-function:ease; }\n.bp3-popover{\n  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);\n          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);\n  -webkit-transform:scale(1);\n          transform:scale(1);\n  border-radius:3px;\n  display:inline-block;\n  z-index:20; }\n  .bp3-popover .bp3-popover-arrow{\n    height:30px;\n    position:absolute;\n    width:30px; }\n    .bp3-popover .bp3-popover-arrow::before{\n      height:20px;\n      margin:5px;\n      width:20px; }\n  .bp3-tether-element-attached-bottom.bp3-tether-target-attached-top > .bp3-popover{\n    margin-bottom:17px;\n    margin-top:-17px; }\n    .bp3-tether-element-attached-bottom.bp3-tether-target-attached-top > .bp3-popover > .bp3-popover-arrow{\n      bottom:-11px; }\n      .bp3-tether-element-attached-bottom.bp3-tether-target-attached-top > .bp3-popover > .bp3-popover-arrow svg{\n        -webkit-transform:rotate(-90deg);\n                transform:rotate(-90deg); }\n  .bp3-tether-element-attached-left.bp3-tether-target-attached-right > .bp3-popover{\n    margin-left:17px; }\n    .bp3-tether-element-attached-left.bp3-tether-target-attached-right > .bp3-popover > .bp3-popover-arrow{\n      left:-11px; }\n      .bp3-tether-element-attached-left.bp3-tether-target-attached-right > .bp3-popover > .bp3-popover-arrow svg{\n        -webkit-transform:rotate(0);\n                transform:rotate(0); }\n  .bp3-tether-element-attached-top.bp3-tether-target-attached-bottom > .bp3-popover{\n    margin-top:17px; }\n    .bp3-tether-element-attached-top.bp3-tether-target-attached-bottom > .bp3-popover > .bp3-popover-arrow{\n      top:-11px; }\n      .bp3-tether-element-attached-top.bp3-tether-target-attached-bottom > .bp3-popover > .bp3-popover-arrow svg{\n        -webkit-transform:rotate(90deg);\n                transform:rotate(90deg); }\n  .bp3-tether-element-attached-right.bp3-tether-target-attached-left > .bp3-popover{\n    margin-left:-17px;\n    margin-right:17px; }\n    .bp3-tether-element-attached-right.bp3-tether-target-attached-left > .bp3-popover > .bp3-popover-arrow{\n      right:-11px; }\n      .bp3-tether-element-attached-right.bp3-tether-target-attached-left > .bp3-popover > .bp3-popover-arrow svg{\n        -webkit-transform:rotate(180deg);\n                transform:rotate(180deg); }\n  .bp3-tether-element-attached-middle > .bp3-popover > .bp3-popover-arrow{\n    top:50%;\n    -webkit-transform:translateY(-50%);\n            transform:translateY(-50%); }\n  .bp3-tether-element-attached-center > .bp3-popover > .bp3-popover-arrow{\n    right:50%;\n    -webkit-transform:translateX(50%);\n            transform:translateX(50%); }\n  .bp3-tether-element-attached-top.bp3-tether-target-attached-top > .bp3-popover > .bp3-popover-arrow{\n    top:-0.3934px; }\n  .bp3-tether-element-attached-right.bp3-tether-target-attached-right > .bp3-popover > .bp3-popover-arrow{\n    right:-0.3934px; }\n  .bp3-tether-element-attached-left.bp3-tether-target-attached-left > .bp3-popover > .bp3-popover-arrow{\n    left:-0.3934px; }\n  .bp3-tether-element-attached-bottom.bp3-tether-target-attached-bottom > .bp3-popover > .bp3-popover-arrow{\n    bottom:-0.3934px; }\n  .bp3-tether-element-attached-top.bp3-tether-element-attached-left > .bp3-popover{\n    -webkit-transform-origin:top left;\n            transform-origin:top left; }\n  .bp3-tether-element-attached-top.bp3-tether-element-attached-center > .bp3-popover{\n    -webkit-transform-origin:top center;\n            transform-origin:top center; }\n  .bp3-tether-element-attached-top.bp3-tether-element-attached-right > .bp3-popover{\n    -webkit-transform-origin:top right;\n            transform-origin:top right; }\n  .bp3-tether-element-attached-middle.bp3-tether-element-attached-left > .bp3-popover{\n    -webkit-transform-origin:center left;\n            transform-origin:center left; }\n  .bp3-tether-element-attached-middle.bp3-tether-element-attached-center > .bp3-popover{\n    -webkit-transform-origin:center center;\n            transform-origin:center center; }\n  .bp3-tether-element-attached-middle.bp3-tether-element-attached-right > .bp3-popover{\n    -webkit-transform-origin:center right;\n            transform-origin:center right; }\n  .bp3-tether-element-attached-bottom.bp3-tether-element-attached-left > .bp3-popover{\n    -webkit-transform-origin:bottom left;\n            transform-origin:bottom left; }\n  .bp3-tether-element-attached-bottom.bp3-tether-element-attached-center > .bp3-popover{\n    -webkit-transform-origin:bottom center;\n            transform-origin:bottom center; }\n  .bp3-tether-element-attached-bottom.bp3-tether-element-attached-right > .bp3-popover{\n    -webkit-transform-origin:bottom right;\n            transform-origin:bottom right; }\n  .bp3-popover .bp3-popover-content{\n    background:#ffffff;\n    color:inherit; }\n  .bp3-popover .bp3-popover-arrow::before{\n    -webkit-box-shadow:1px 1px 6px rgba(16, 22, 26, 0.2);\n            box-shadow:1px 1px 6px rgba(16, 22, 26, 0.2); }\n  .bp3-popover .bp3-popover-arrow-border{\n    fill:#10161a;\n    fill-opacity:0.1; }\n  .bp3-popover .bp3-popover-arrow-fill{\n    fill:#ffffff; }\n  .bp3-popover-enter > .bp3-popover, .bp3-popover-appear > .bp3-popover{\n    -webkit-transform:scale(0.3);\n            transform:scale(0.3); }\n  .bp3-popover-enter-active > .bp3-popover, .bp3-popover-appear-active > .bp3-popover{\n    -webkit-transform:scale(1);\n            transform:scale(1);\n    -webkit-transition-delay:0;\n            transition-delay:0;\n    -webkit-transition-duration:300ms;\n            transition-duration:300ms;\n    -webkit-transition-property:-webkit-transform;\n    transition-property:-webkit-transform;\n    transition-property:transform;\n    transition-property:transform, -webkit-transform;\n    -webkit-transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);\n            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11); }\n  .bp3-popover-exit > .bp3-popover{\n    -webkit-transform:scale(1);\n            transform:scale(1); }\n  .bp3-popover-exit-active > .bp3-popover{\n    -webkit-transform:scale(0.3);\n            transform:scale(0.3);\n    -webkit-transition-delay:0;\n            transition-delay:0;\n    -webkit-transition-duration:300ms;\n            transition-duration:300ms;\n    -webkit-transition-property:-webkit-transform;\n    transition-property:-webkit-transform;\n    transition-property:transform;\n    transition-property:transform, -webkit-transform;\n    -webkit-transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);\n            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11); }\n  .bp3-popover .bp3-popover-content{\n    border-radius:3px;\n    position:relative; }\n  .bp3-popover.bp3-popover-content-sizing .bp3-popover-content{\n    max-width:350px;\n    padding:20px; }\n  .bp3-popover-target + .bp3-overlay .bp3-popover.bp3-popover-content-sizing{\n    width:350px; }\n  .bp3-popover.bp3-minimal{\n    margin:0 !important; }\n    .bp3-popover.bp3-minimal .bp3-popover-arrow{\n      display:none; }\n    .bp3-popover.bp3-minimal.bp3-popover{\n      -webkit-transform:scale(1);\n              transform:scale(1); }\n      .bp3-popover-enter > .bp3-popover.bp3-minimal.bp3-popover, .bp3-popover-appear > .bp3-popover.bp3-minimal.bp3-popover{\n        -webkit-transform:scale(1);\n                transform:scale(1); }\n      .bp3-popover-enter-active > .bp3-popover.bp3-minimal.bp3-popover, .bp3-popover-appear-active > .bp3-popover.bp3-minimal.bp3-popover{\n        -webkit-transform:scale(1);\n                transform:scale(1);\n        -webkit-transition-delay:0;\n                transition-delay:0;\n        -webkit-transition-duration:100ms;\n                transition-duration:100ms;\n        -webkit-transition-property:-webkit-transform;\n        transition-property:-webkit-transform;\n        transition-property:transform;\n        transition-property:transform, -webkit-transform;\n        -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n                transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n      .bp3-popover-exit > .bp3-popover.bp3-minimal.bp3-popover{\n        -webkit-transform:scale(1);\n                transform:scale(1); }\n      .bp3-popover-exit-active > .bp3-popover.bp3-minimal.bp3-popover{\n        -webkit-transform:scale(1);\n                transform:scale(1);\n        -webkit-transition-delay:0;\n                transition-delay:0;\n        -webkit-transition-duration:100ms;\n                transition-duration:100ms;\n        -webkit-transition-property:-webkit-transform;\n        transition-property:-webkit-transform;\n        transition-property:transform;\n        transition-property:transform, -webkit-transform;\n        -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n                transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-popover.bp3-dark,\n  .bp3-dark .bp3-popover{\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4); }\n    .bp3-popover.bp3-dark .bp3-popover-content,\n    .bp3-dark .bp3-popover .bp3-popover-content{\n      background:#30404d;\n      color:inherit; }\n    .bp3-popover.bp3-dark .bp3-popover-arrow::before,\n    .bp3-dark .bp3-popover .bp3-popover-arrow::before{\n      -webkit-box-shadow:1px 1px 6px rgba(16, 22, 26, 0.4);\n              box-shadow:1px 1px 6px rgba(16, 22, 26, 0.4); }\n    .bp3-popover.bp3-dark .bp3-popover-arrow-border,\n    .bp3-dark .bp3-popover .bp3-popover-arrow-border{\n      fill:#10161a;\n      fill-opacity:0.2; }\n    .bp3-popover.bp3-dark .bp3-popover-arrow-fill,\n    .bp3-dark .bp3-popover .bp3-popover-arrow-fill{\n      fill:#30404d; }\n\n.bp3-popover-arrow::before{\n  border-radius:2px;\n  content:\"\";\n  display:block;\n  position:absolute;\n  -webkit-transform:rotate(45deg);\n          transform:rotate(45deg); }\n\n.bp3-tether-pinned .bp3-popover-arrow{\n  display:none; }\n\n.bp3-popover-backdrop{\n  background:rgba(255, 255, 255, 0); }\n\n.bp3-transition-container{\n  opacity:1;\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  z-index:20; }\n  .bp3-transition-container.bp3-popover-enter, .bp3-transition-container.bp3-popover-appear{\n    opacity:0; }\n  .bp3-transition-container.bp3-popover-enter-active, .bp3-transition-container.bp3-popover-appear-active{\n    opacity:1;\n    -webkit-transition-delay:0;\n            transition-delay:0;\n    -webkit-transition-duration:100ms;\n            transition-duration:100ms;\n    -webkit-transition-property:opacity;\n    transition-property:opacity;\n    -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-transition-container.bp3-popover-exit{\n    opacity:1; }\n  .bp3-transition-container.bp3-popover-exit-active{\n    opacity:0;\n    -webkit-transition-delay:0;\n            transition-delay:0;\n    -webkit-transition-duration:100ms;\n            transition-duration:100ms;\n    -webkit-transition-property:opacity;\n    transition-property:opacity;\n    -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-transition-container:focus{\n    outline:none; }\n  .bp3-transition-container.bp3-popover-leave .bp3-popover-content{\n    pointer-events:none; }\n  .bp3-transition-container[data-x-out-of-boundaries]{\n    display:none; }\n\nspan.bp3-popover-target{\n  display:inline-block; }\n\n.bp3-popover-wrapper.bp3-fill{\n  width:100%; }\n\n.bp3-portal{\n  left:0;\n  position:absolute;\n  right:0;\n  top:0; }\n@-webkit-keyframes linear-progress-bar-stripes{\n  from{\n    background-position:0 0; }\n  to{\n    background-position:30px 0; } }\n@keyframes linear-progress-bar-stripes{\n  from{\n    background-position:0 0; }\n  to{\n    background-position:30px 0; } }\n\n.bp3-progress-bar{\n  background:rgba(92, 112, 128, 0.2);\n  border-radius:40px;\n  display:block;\n  height:8px;\n  overflow:hidden;\n  position:relative;\n  width:100%; }\n  .bp3-progress-bar .bp3-progress-meter{\n    background:linear-gradient(-45deg, rgba(255, 255, 255, 0.2) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.2) 50%, rgba(255, 255, 255, 0.2) 75%, transparent 75%);\n    background-color:rgba(92, 112, 128, 0.8);\n    background-size:30px 30px;\n    border-radius:40px;\n    height:100%;\n    position:absolute;\n    -webkit-transition:width 200ms cubic-bezier(0.4, 1, 0.75, 0.9);\n    transition:width 200ms cubic-bezier(0.4, 1, 0.75, 0.9);\n    width:100%; }\n  .bp3-progress-bar:not(.bp3-no-animation):not(.bp3-no-stripes) .bp3-progress-meter{\n    animation:linear-progress-bar-stripes 300ms linear infinite reverse; }\n  .bp3-progress-bar.bp3-no-stripes .bp3-progress-meter{\n    background-image:none; }\n\n.bp3-dark .bp3-progress-bar{\n  background:rgba(16, 22, 26, 0.5); }\n  .bp3-dark .bp3-progress-bar .bp3-progress-meter{\n    background-color:#8a9ba8; }\n\n.bp3-progress-bar.bp3-intent-primary .bp3-progress-meter{\n  background-color:#137cbd; }\n\n.bp3-progress-bar.bp3-intent-success .bp3-progress-meter{\n  background-color:#0f9960; }\n\n.bp3-progress-bar.bp3-intent-warning .bp3-progress-meter{\n  background-color:#d9822b; }\n\n.bp3-progress-bar.bp3-intent-danger .bp3-progress-meter{\n  background-color:#db3737; }\n@-webkit-keyframes skeleton-glow{\n  from{\n    background:rgba(206, 217, 224, 0.2);\n    border-color:rgba(206, 217, 224, 0.2); }\n  to{\n    background:rgba(92, 112, 128, 0.2);\n    border-color:rgba(92, 112, 128, 0.2); } }\n@keyframes skeleton-glow{\n  from{\n    background:rgba(206, 217, 224, 0.2);\n    border-color:rgba(206, 217, 224, 0.2); }\n  to{\n    background:rgba(92, 112, 128, 0.2);\n    border-color:rgba(92, 112, 128, 0.2); } }\n.bp3-skeleton{\n  -webkit-animation:1000ms linear infinite alternate skeleton-glow;\n          animation:1000ms linear infinite alternate skeleton-glow;\n  background:rgba(206, 217, 224, 0.2);\n  background-clip:padding-box !important;\n  border-color:rgba(206, 217, 224, 0.2) !important;\n  border-radius:2px;\n  -webkit-box-shadow:none !important;\n          box-shadow:none !important;\n  color:transparent !important;\n  cursor:default;\n  pointer-events:none;\n  -webkit-user-select:none;\n     -moz-user-select:none;\n      -ms-user-select:none;\n          user-select:none; }\n  .bp3-skeleton::before, .bp3-skeleton::after,\n  .bp3-skeleton *{\n    visibility:hidden !important; }\n.bp3-slider{\n  height:40px;\n  min-width:150px;\n  width:100%;\n  cursor:default;\n  outline:none;\n  position:relative;\n  -webkit-user-select:none;\n     -moz-user-select:none;\n      -ms-user-select:none;\n          user-select:none; }\n  .bp3-slider:hover{\n    cursor:pointer; }\n  .bp3-slider:active{\n    cursor:-webkit-grabbing;\n    cursor:grabbing; }\n  .bp3-slider.bp3-disabled{\n    cursor:not-allowed;\n    opacity:0.5; }\n  .bp3-slider.bp3-slider-unlabeled{\n    height:16px; }\n\n.bp3-slider-track,\n.bp3-slider-progress{\n  height:6px;\n  left:0;\n  right:0;\n  top:5px;\n  position:absolute; }\n\n.bp3-slider-track{\n  border-radius:3px;\n  overflow:hidden; }\n\n.bp3-slider-progress{\n  background:rgba(92, 112, 128, 0.2); }\n  .bp3-dark .bp3-slider-progress{\n    background:rgba(16, 22, 26, 0.5); }\n  .bp3-slider-progress.bp3-intent-primary{\n    background-color:#137cbd; }\n  .bp3-slider-progress.bp3-intent-success{\n    background-color:#0f9960; }\n  .bp3-slider-progress.bp3-intent-warning{\n    background-color:#d9822b; }\n  .bp3-slider-progress.bp3-intent-danger{\n    background-color:#db3737; }\n\n.bp3-slider-handle{\n  background-color:#f5f8fa;\n  background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.8)), to(rgba(255, 255, 255, 0)));\n  background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.8), rgba(255, 255, 255, 0));\n  -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);\n          box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);\n  color:#182026;\n  border-radius:3px;\n  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.2);\n          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.2);\n  cursor:pointer;\n  height:16px;\n  left:0;\n  position:absolute;\n  top:0;\n  width:16px; }\n  .bp3-slider-handle:hover{\n    background-clip:padding-box;\n    background-color:#ebf1f5;\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1); }\n  .bp3-slider-handle:active, .bp3-slider-handle.bp3-active{\n    background-color:#d8e1e8;\n    background-image:none;\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2); }\n  .bp3-slider-handle:disabled, .bp3-slider-handle.bp3-disabled{\n    background-color:rgba(206, 217, 224, 0.5);\n    background-image:none;\n    -webkit-box-shadow:none;\n            box-shadow:none;\n    color:rgba(92, 112, 128, 0.6);\n    cursor:not-allowed;\n    outline:none; }\n    .bp3-slider-handle:disabled.bp3-active, .bp3-slider-handle:disabled.bp3-active:hover, .bp3-slider-handle.bp3-disabled.bp3-active, .bp3-slider-handle.bp3-disabled.bp3-active:hover{\n      background:rgba(206, 217, 224, 0.7); }\n  .bp3-slider-handle:focus{\n    z-index:1; }\n  .bp3-slider-handle:hover{\n    background-clip:padding-box;\n    background-color:#ebf1f5;\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 -1px 0 rgba(16, 22, 26, 0.1);\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.2);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 1px 1px rgba(16, 22, 26, 0.2);\n    cursor:-webkit-grab;\n    cursor:grab;\n    z-index:2; }\n  .bp3-slider-handle.bp3-active{\n    background-color:#d8e1e8;\n    background-image:none;\n    -webkit-box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n            box-shadow:inset 0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 1px rgba(16, 22, 26, 0.1);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), inset 0 1px 1px rgba(16, 22, 26, 0.1);\n    cursor:-webkit-grabbing;\n    cursor:grabbing; }\n  .bp3-disabled .bp3-slider-handle{\n    background:#bfccd6;\n    -webkit-box-shadow:none;\n            box-shadow:none;\n    pointer-events:none; }\n  .bp3-dark .bp3-slider-handle{\n    background-color:#394b59;\n    background-image:-webkit-gradient(linear, left top, left bottom, from(rgba(255, 255, 255, 0.05)), to(rgba(255, 255, 255, 0)));\n    background-image:linear-gradient(to bottom, rgba(255, 255, 255, 0.05), rgba(255, 255, 255, 0));\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);\n    color:#f5f8fa; }\n    .bp3-dark .bp3-slider-handle:hover, .bp3-dark .bp3-slider-handle:active, .bp3-dark .bp3-slider-handle.bp3-active{\n      color:#f5f8fa; }\n    .bp3-dark .bp3-slider-handle:hover{\n      background-color:#30404d;\n      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4);\n              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.4); }\n    .bp3-dark .bp3-slider-handle:active, .bp3-dark .bp3-slider-handle.bp3-active{\n      background-color:#202b33;\n      background-image:none;\n      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2);\n              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.6), inset 0 1px 2px rgba(16, 22, 26, 0.2); }\n    .bp3-dark .bp3-slider-handle:disabled, .bp3-dark .bp3-slider-handle.bp3-disabled{\n      background-color:rgba(57, 75, 89, 0.5);\n      background-image:none;\n      -webkit-box-shadow:none;\n              box-shadow:none;\n      color:rgba(167, 182, 194, 0.6); }\n      .bp3-dark .bp3-slider-handle:disabled.bp3-active, .bp3-dark .bp3-slider-handle.bp3-disabled.bp3-active{\n        background:rgba(57, 75, 89, 0.7); }\n    .bp3-dark .bp3-slider-handle .bp3-button-spinner .bp3-spinner-head{\n      background:rgba(16, 22, 26, 0.5);\n      stroke:#8a9ba8; }\n    .bp3-dark .bp3-slider-handle, .bp3-dark .bp3-slider-handle:hover{\n      background-color:#394b59; }\n    .bp3-dark .bp3-slider-handle.bp3-active{\n      background-color:#293742; }\n  .bp3-dark .bp3-disabled .bp3-slider-handle{\n    background:#5c7080;\n    border-color:#5c7080;\n    -webkit-box-shadow:none;\n            box-shadow:none; }\n  .bp3-slider-handle .bp3-slider-label{\n    background:#394b59;\n    border-radius:3px;\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);\n    color:#f5f8fa;\n    margin-left:8px; }\n    .bp3-dark .bp3-slider-handle .bp3-slider-label{\n      background:#e1e8ed;\n      -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);\n              box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);\n      color:#394b59; }\n    .bp3-disabled .bp3-slider-handle .bp3-slider-label{\n      -webkit-box-shadow:none;\n              box-shadow:none; }\n  .bp3-slider-handle.bp3-start, .bp3-slider-handle.bp3-end{\n    width:8px; }\n  .bp3-slider-handle.bp3-start{\n    border-bottom-right-radius:0;\n    border-top-right-radius:0; }\n  .bp3-slider-handle.bp3-end{\n    border-bottom-left-radius:0;\n    border-top-left-radius:0;\n    margin-left:8px; }\n    .bp3-slider-handle.bp3-end .bp3-slider-label{\n      margin-left:0; }\n\n.bp3-slider-label{\n  -webkit-transform:translate(-50%, 20px);\n          transform:translate(-50%, 20px);\n  display:inline-block;\n  font-size:12px;\n  line-height:1;\n  padding:2px 5px;\n  position:absolute;\n  vertical-align:top; }\n\n.bp3-slider.bp3-vertical{\n  height:150px;\n  min-width:40px;\n  width:40px; }\n  .bp3-slider.bp3-vertical .bp3-slider-track,\n  .bp3-slider.bp3-vertical .bp3-slider-progress{\n    bottom:0;\n    height:auto;\n    left:5px;\n    top:0;\n    width:6px; }\n  .bp3-slider.bp3-vertical .bp3-slider-progress{\n    top:auto; }\n  .bp3-slider.bp3-vertical .bp3-slider-label{\n    -webkit-transform:translate(20px, 50%);\n            transform:translate(20px, 50%); }\n  .bp3-slider.bp3-vertical .bp3-slider-handle{\n    top:auto; }\n    .bp3-slider.bp3-vertical .bp3-slider-handle .bp3-slider-label{\n      margin-left:0;\n      margin-top:-8px; }\n    .bp3-slider.bp3-vertical .bp3-slider-handle.bp3-end, .bp3-slider.bp3-vertical .bp3-slider-handle.bp3-start{\n      height:8px;\n      margin-left:0;\n      width:16px; }\n    .bp3-slider.bp3-vertical .bp3-slider-handle.bp3-start{\n      border-bottom-right-radius:3px;\n      border-top-left-radius:0; }\n      .bp3-slider.bp3-vertical .bp3-slider-handle.bp3-start .bp3-slider-label{\n        -webkit-transform:translate(20px);\n                transform:translate(20px); }\n    .bp3-slider.bp3-vertical .bp3-slider-handle.bp3-end{\n      border-bottom-left-radius:0;\n      border-bottom-right-radius:0;\n      border-top-left-radius:3px;\n      margin-bottom:8px; }\n\n@-webkit-keyframes pt-spinner-animation{\n  from{\n    -webkit-transform:rotate(0deg);\n            transform:rotate(0deg); }\n  to{\n    -webkit-transform:rotate(360deg);\n            transform:rotate(360deg); } }\n\n@keyframes pt-spinner-animation{\n  from{\n    -webkit-transform:rotate(0deg);\n            transform:rotate(0deg); }\n  to{\n    -webkit-transform:rotate(360deg);\n            transform:rotate(360deg); } }\n\n.bp3-spinner{\n  -webkit-box-align:center;\n      -ms-flex-align:center;\n          align-items:center;\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -webkit-box-pack:center;\n      -ms-flex-pack:center;\n          justify-content:center;\n  overflow:visible;\n  vertical-align:middle; }\n  .bp3-spinner svg{\n    display:block; }\n  .bp3-spinner path{\n    fill-opacity:0; }\n  .bp3-spinner .bp3-spinner-head{\n    stroke:rgba(92, 112, 128, 0.8);\n    stroke-linecap:round;\n    -webkit-transform-origin:center;\n            transform-origin:center;\n    -webkit-transition:stroke-dashoffset 200ms cubic-bezier(0.4, 1, 0.75, 0.9);\n    transition:stroke-dashoffset 200ms cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-spinner .bp3-spinner-track{\n    stroke:rgba(92, 112, 128, 0.2); }\n\n.bp3-spinner-animation{\n  -webkit-animation:pt-spinner-animation 500ms linear infinite;\n          animation:pt-spinner-animation 500ms linear infinite; }\n  .bp3-no-spin > .bp3-spinner-animation{\n    -webkit-animation:none;\n            animation:none; }\n\n.bp3-dark .bp3-spinner .bp3-spinner-head{\n  stroke:#8a9ba8; }\n\n.bp3-dark .bp3-spinner .bp3-spinner-track{\n  stroke:rgba(16, 22, 26, 0.5); }\n\n.bp3-spinner.bp3-intent-primary .bp3-spinner-head{\n  stroke:#137cbd; }\n\n.bp3-spinner.bp3-intent-success .bp3-spinner-head{\n  stroke:#0f9960; }\n\n.bp3-spinner.bp3-intent-warning .bp3-spinner-head{\n  stroke:#d9822b; }\n\n.bp3-spinner.bp3-intent-danger .bp3-spinner-head{\n  stroke:#db3737; }\n.bp3-tabs.bp3-vertical{\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex; }\n  .bp3-tabs.bp3-vertical > .bp3-tab-list{\n    -webkit-box-align:start;\n        -ms-flex-align:start;\n            align-items:flex-start;\n    -webkit-box-orient:vertical;\n    -webkit-box-direction:normal;\n        -ms-flex-direction:column;\n            flex-direction:column; }\n    .bp3-tabs.bp3-vertical > .bp3-tab-list .bp3-tab{\n      border-radius:3px;\n      padding:0 10px;\n      width:100%; }\n      .bp3-tabs.bp3-vertical > .bp3-tab-list .bp3-tab[aria-selected=\"true\"]{\n        background-color:rgba(19, 124, 189, 0.2);\n        -webkit-box-shadow:none;\n                box-shadow:none; }\n    .bp3-tabs.bp3-vertical > .bp3-tab-list .bp3-tab-indicator-wrapper .bp3-tab-indicator{\n      background-color:rgba(19, 124, 189, 0.2);\n      border-radius:3px;\n      bottom:0;\n      height:auto;\n      left:0;\n      right:0;\n      top:0; }\n  .bp3-tabs.bp3-vertical > .bp3-tab-panel{\n    margin-top:0;\n    padding-left:20px; }\n\n.bp3-tab-list{\n  -webkit-box-align:end;\n      -ms-flex-align:end;\n          align-items:flex-end;\n  border:none;\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -webkit-box-flex:0;\n      -ms-flex:0 0 auto;\n          flex:0 0 auto;\n  list-style:none;\n  margin:0;\n  padding:0;\n  position:relative; }\n  .bp3-tab-list > *:not(:last-child){\n    margin-right:20px; }\n\n.bp3-tab{\n  overflow:hidden;\n  text-overflow:ellipsis;\n  white-space:nowrap;\n  word-wrap:normal;\n  color:#182026;\n  cursor:pointer;\n  -webkit-box-flex:0;\n      -ms-flex:0 0 auto;\n          flex:0 0 auto;\n  font-size:14px;\n  line-height:30px;\n  max-width:100%;\n  position:relative;\n  vertical-align:top; }\n  .bp3-tab a{\n    color:inherit;\n    display:block;\n    text-decoration:none; }\n  .bp3-tab-indicator-wrapper ~ .bp3-tab{\n    background-color:transparent !important;\n    -webkit-box-shadow:none !important;\n            box-shadow:none !important; }\n  .bp3-tab[aria-disabled=\"true\"]{\n    color:rgba(92, 112, 128, 0.6);\n    cursor:not-allowed; }\n  .bp3-tab[aria-selected=\"true\"]{\n    border-radius:0;\n    -webkit-box-shadow:inset 0 -3px 0 #106ba3;\n            box-shadow:inset 0 -3px 0 #106ba3; }\n  .bp3-tab[aria-selected=\"true\"], .bp3-tab:not([aria-disabled=\"true\"]):hover{\n    color:#106ba3; }\n  .bp3-tab:focus{\n    -moz-outline-radius:0; }\n  .bp3-large > .bp3-tab{\n    font-size:16px;\n    line-height:40px; }\n\n.bp3-tab-panel{\n  margin-top:20px; }\n  .bp3-tab-panel[aria-hidden=\"true\"]{\n    display:none; }\n\n.bp3-tab-indicator-wrapper{\n  left:0;\n  pointer-events:none;\n  position:absolute;\n  top:0;\n  -webkit-transform:translateX(0), translateY(0);\n          transform:translateX(0), translateY(0);\n  -webkit-transition:height, width, -webkit-transform;\n  transition:height, width, -webkit-transform;\n  transition:height, transform, width;\n  transition:height, transform, width, -webkit-transform;\n  -webkit-transition-duration:200ms;\n          transition-duration:200ms;\n  -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n          transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-tab-indicator-wrapper .bp3-tab-indicator{\n    background-color:#106ba3;\n    bottom:0;\n    height:3px;\n    left:0;\n    position:absolute;\n    right:0; }\n  .bp3-tab-indicator-wrapper.bp3-no-animation{\n    -webkit-transition:none;\n    transition:none; }\n\n.bp3-dark .bp3-tab{\n  color:#f5f8fa; }\n  .bp3-dark .bp3-tab[aria-disabled=\"true\"]{\n    color:rgba(167, 182, 194, 0.6); }\n  .bp3-dark .bp3-tab[aria-selected=\"true\"]{\n    -webkit-box-shadow:inset 0 -3px 0 #48aff0;\n            box-shadow:inset 0 -3px 0 #48aff0; }\n  .bp3-dark .bp3-tab[aria-selected=\"true\"], .bp3-dark .bp3-tab:not([aria-disabled=\"true\"]):hover{\n    color:#48aff0; }\n\n.bp3-dark .bp3-tab-indicator{\n  background-color:#48aff0; }\n\n.bp3-flex-expander{\n  -webkit-box-flex:1;\n      -ms-flex:1 1;\n          flex:1 1; }\n.bp3-tag{\n  display:-webkit-inline-box;\n  display:-ms-inline-flexbox;\n  display:inline-flex;\n  -webkit-box-orient:horizontal;\n  -webkit-box-direction:normal;\n      -ms-flex-direction:row;\n          flex-direction:row;\n  -webkit-box-align:center;\n      -ms-flex-align:center;\n          align-items:center;\n  background-color:#5c7080;\n  border:none;\n  border-radius:3px;\n  -webkit-box-shadow:none;\n          box-shadow:none;\n  color:#f5f8fa;\n  font-size:12px;\n  line-height:16px;\n  max-width:100%;\n  min-height:20px;\n  min-width:20px;\n  padding:2px 6px;\n  position:relative; }\n  .bp3-tag.bp3-interactive{\n    cursor:pointer; }\n    .bp3-tag.bp3-interactive:hover{\n      background-color:rgba(92, 112, 128, 0.85); }\n    .bp3-tag.bp3-interactive.bp3-active, .bp3-tag.bp3-interactive:active{\n      background-color:rgba(92, 112, 128, 0.7); }\n  .bp3-tag > *{\n    -webkit-box-flex:0;\n        -ms-flex-positive:0;\n            flex-grow:0;\n    -ms-flex-negative:0;\n        flex-shrink:0; }\n  .bp3-tag > .bp3-fill{\n    -webkit-box-flex:1;\n        -ms-flex-positive:1;\n            flex-grow:1;\n    -ms-flex-negative:1;\n        flex-shrink:1; }\n  .bp3-tag::before,\n  .bp3-tag > *{\n    margin-right:4px; }\n  .bp3-tag:empty::before,\n  .bp3-tag > :last-child{\n    margin-right:0; }\n  .bp3-tag:focus{\n    outline:rgba(19, 124, 189, 0.6) auto 2px;\n    outline-offset:0;\n    -moz-outline-radius:6px; }\n  .bp3-tag.bp3-round{\n    border-radius:30px;\n    padding-left:8px;\n    padding-right:8px; }\n  .bp3-dark .bp3-tag{\n    background-color:#bfccd6;\n    color:#182026; }\n    .bp3-dark .bp3-tag.bp3-interactive{\n      cursor:pointer; }\n      .bp3-dark .bp3-tag.bp3-interactive:hover{\n        background-color:rgba(191, 204, 214, 0.85); }\n      .bp3-dark .bp3-tag.bp3-interactive.bp3-active, .bp3-dark .bp3-tag.bp3-interactive:active{\n        background-color:rgba(191, 204, 214, 0.7); }\n    .bp3-dark .bp3-tag > .bp3-icon, .bp3-dark .bp3-tag .bp3-icon-standard, .bp3-dark .bp3-tag .bp3-icon-large{\n      fill:currentColor; }\n  .bp3-tag > .bp3-icon, .bp3-tag .bp3-icon-standard, .bp3-tag .bp3-icon-large{\n    fill:#ffffff; }\n  .bp3-tag.bp3-large,\n  .bp3-large .bp3-tag{\n    font-size:14px;\n    line-height:20px;\n    min-height:30px;\n    min-width:30px;\n    padding:5px 10px; }\n    .bp3-tag.bp3-large::before,\n    .bp3-tag.bp3-large > *,\n    .bp3-large .bp3-tag::before,\n    .bp3-large .bp3-tag > *{\n      margin-right:7px; }\n    .bp3-tag.bp3-large:empty::before,\n    .bp3-tag.bp3-large > :last-child,\n    .bp3-large .bp3-tag:empty::before,\n    .bp3-large .bp3-tag > :last-child{\n      margin-right:0; }\n    .bp3-tag.bp3-large.bp3-round,\n    .bp3-large .bp3-tag.bp3-round{\n      padding-left:12px;\n      padding-right:12px; }\n  .bp3-tag.bp3-intent-primary{\n    background:#137cbd;\n    color:#ffffff; }\n    .bp3-tag.bp3-intent-primary.bp3-interactive{\n      cursor:pointer; }\n      .bp3-tag.bp3-intent-primary.bp3-interactive:hover{\n        background-color:rgba(19, 124, 189, 0.85); }\n      .bp3-tag.bp3-intent-primary.bp3-interactive.bp3-active, .bp3-tag.bp3-intent-primary.bp3-interactive:active{\n        background-color:rgba(19, 124, 189, 0.7); }\n  .bp3-tag.bp3-intent-success{\n    background:#0f9960;\n    color:#ffffff; }\n    .bp3-tag.bp3-intent-success.bp3-interactive{\n      cursor:pointer; }\n      .bp3-tag.bp3-intent-success.bp3-interactive:hover{\n        background-color:rgba(15, 153, 96, 0.85); }\n      .bp3-tag.bp3-intent-success.bp3-interactive.bp3-active, .bp3-tag.bp3-intent-success.bp3-interactive:active{\n        background-color:rgba(15, 153, 96, 0.7); }\n  .bp3-tag.bp3-intent-warning{\n    background:#d9822b;\n    color:#ffffff; }\n    .bp3-tag.bp3-intent-warning.bp3-interactive{\n      cursor:pointer; }\n      .bp3-tag.bp3-intent-warning.bp3-interactive:hover{\n        background-color:rgba(217, 130, 43, 0.85); }\n      .bp3-tag.bp3-intent-warning.bp3-interactive.bp3-active, .bp3-tag.bp3-intent-warning.bp3-interactive:active{\n        background-color:rgba(217, 130, 43, 0.7); }\n  .bp3-tag.bp3-intent-danger{\n    background:#db3737;\n    color:#ffffff; }\n    .bp3-tag.bp3-intent-danger.bp3-interactive{\n      cursor:pointer; }\n      .bp3-tag.bp3-intent-danger.bp3-interactive:hover{\n        background-color:rgba(219, 55, 55, 0.85); }\n      .bp3-tag.bp3-intent-danger.bp3-interactive.bp3-active, .bp3-tag.bp3-intent-danger.bp3-interactive:active{\n        background-color:rgba(219, 55, 55, 0.7); }\n  .bp3-tag.bp3-fill{\n    display:-webkit-box;\n    display:-ms-flexbox;\n    display:flex;\n    width:100%; }\n  .bp3-tag.bp3-minimal > .bp3-icon, .bp3-tag.bp3-minimal .bp3-icon-standard, .bp3-tag.bp3-minimal .bp3-icon-large{\n    fill:#5c7080; }\n  .bp3-tag.bp3-minimal:not([class*=\"bp3-intent-\"]){\n    background-color:rgba(138, 155, 168, 0.2);\n    color:#182026; }\n    .bp3-tag.bp3-minimal:not([class*=\"bp3-intent-\"]).bp3-interactive{\n      cursor:pointer; }\n      .bp3-tag.bp3-minimal:not([class*=\"bp3-intent-\"]).bp3-interactive:hover{\n        background-color:rgba(92, 112, 128, 0.3); }\n      .bp3-tag.bp3-minimal:not([class*=\"bp3-intent-\"]).bp3-interactive.bp3-active, .bp3-tag.bp3-minimal:not([class*=\"bp3-intent-\"]).bp3-interactive:active{\n        background-color:rgba(92, 112, 128, 0.4); }\n    .bp3-dark .bp3-tag.bp3-minimal:not([class*=\"bp3-intent-\"]){\n      color:#f5f8fa; }\n      .bp3-dark .bp3-tag.bp3-minimal:not([class*=\"bp3-intent-\"]).bp3-interactive{\n        cursor:pointer; }\n        .bp3-dark .bp3-tag.bp3-minimal:not([class*=\"bp3-intent-\"]).bp3-interactive:hover{\n          background-color:rgba(191, 204, 214, 0.3); }\n        .bp3-dark .bp3-tag.bp3-minimal:not([class*=\"bp3-intent-\"]).bp3-interactive.bp3-active, .bp3-dark .bp3-tag.bp3-minimal:not([class*=\"bp3-intent-\"]).bp3-interactive:active{\n          background-color:rgba(191, 204, 214, 0.4); }\n      .bp3-dark .bp3-tag.bp3-minimal:not([class*=\"bp3-intent-\"]) > .bp3-icon, .bp3-dark .bp3-tag.bp3-minimal:not([class*=\"bp3-intent-\"]) .bp3-icon-standard, .bp3-dark .bp3-tag.bp3-minimal:not([class*=\"bp3-intent-\"]) .bp3-icon-large{\n        fill:#a7b6c2; }\n  .bp3-tag.bp3-minimal.bp3-intent-primary{\n    background-color:rgba(19, 124, 189, 0.15);\n    color:#106ba3; }\n    .bp3-tag.bp3-minimal.bp3-intent-primary.bp3-interactive{\n      cursor:pointer; }\n      .bp3-tag.bp3-minimal.bp3-intent-primary.bp3-interactive:hover{\n        background-color:rgba(19, 124, 189, 0.25); }\n      .bp3-tag.bp3-minimal.bp3-intent-primary.bp3-interactive.bp3-active, .bp3-tag.bp3-minimal.bp3-intent-primary.bp3-interactive:active{\n        background-color:rgba(19, 124, 189, 0.35); }\n    .bp3-tag.bp3-minimal.bp3-intent-primary > .bp3-icon, .bp3-tag.bp3-minimal.bp3-intent-primary .bp3-icon-standard, .bp3-tag.bp3-minimal.bp3-intent-primary .bp3-icon-large{\n      fill:#137cbd; }\n    .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-primary{\n      background-color:rgba(19, 124, 189, 0.25);\n      color:#48aff0; }\n      .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-primary.bp3-interactive{\n        cursor:pointer; }\n        .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-primary.bp3-interactive:hover{\n          background-color:rgba(19, 124, 189, 0.35); }\n        .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-primary.bp3-interactive.bp3-active, .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-primary.bp3-interactive:active{\n          background-color:rgba(19, 124, 189, 0.45); }\n  .bp3-tag.bp3-minimal.bp3-intent-success{\n    background-color:rgba(15, 153, 96, 0.15);\n    color:#0d8050; }\n    .bp3-tag.bp3-minimal.bp3-intent-success.bp3-interactive{\n      cursor:pointer; }\n      .bp3-tag.bp3-minimal.bp3-intent-success.bp3-interactive:hover{\n        background-color:rgba(15, 153, 96, 0.25); }\n      .bp3-tag.bp3-minimal.bp3-intent-success.bp3-interactive.bp3-active, .bp3-tag.bp3-minimal.bp3-intent-success.bp3-interactive:active{\n        background-color:rgba(15, 153, 96, 0.35); }\n    .bp3-tag.bp3-minimal.bp3-intent-success > .bp3-icon, .bp3-tag.bp3-minimal.bp3-intent-success .bp3-icon-standard, .bp3-tag.bp3-minimal.bp3-intent-success .bp3-icon-large{\n      fill:#0f9960; }\n    .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-success{\n      background-color:rgba(15, 153, 96, 0.25);\n      color:#3dcc91; }\n      .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-success.bp3-interactive{\n        cursor:pointer; }\n        .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-success.bp3-interactive:hover{\n          background-color:rgba(15, 153, 96, 0.35); }\n        .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-success.bp3-interactive.bp3-active, .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-success.bp3-interactive:active{\n          background-color:rgba(15, 153, 96, 0.45); }\n  .bp3-tag.bp3-minimal.bp3-intent-warning{\n    background-color:rgba(217, 130, 43, 0.15);\n    color:#bf7326; }\n    .bp3-tag.bp3-minimal.bp3-intent-warning.bp3-interactive{\n      cursor:pointer; }\n      .bp3-tag.bp3-minimal.bp3-intent-warning.bp3-interactive:hover{\n        background-color:rgba(217, 130, 43, 0.25); }\n      .bp3-tag.bp3-minimal.bp3-intent-warning.bp3-interactive.bp3-active, .bp3-tag.bp3-minimal.bp3-intent-warning.bp3-interactive:active{\n        background-color:rgba(217, 130, 43, 0.35); }\n    .bp3-tag.bp3-minimal.bp3-intent-warning > .bp3-icon, .bp3-tag.bp3-minimal.bp3-intent-warning .bp3-icon-standard, .bp3-tag.bp3-minimal.bp3-intent-warning .bp3-icon-large{\n      fill:#d9822b; }\n    .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-warning{\n      background-color:rgba(217, 130, 43, 0.25);\n      color:#ffb366; }\n      .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-warning.bp3-interactive{\n        cursor:pointer; }\n        .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-warning.bp3-interactive:hover{\n          background-color:rgba(217, 130, 43, 0.35); }\n        .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-warning.bp3-interactive.bp3-active, .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-warning.bp3-interactive:active{\n          background-color:rgba(217, 130, 43, 0.45); }\n  .bp3-tag.bp3-minimal.bp3-intent-danger{\n    background-color:rgba(219, 55, 55, 0.15);\n    color:#c23030; }\n    .bp3-tag.bp3-minimal.bp3-intent-danger.bp3-interactive{\n      cursor:pointer; }\n      .bp3-tag.bp3-minimal.bp3-intent-danger.bp3-interactive:hover{\n        background-color:rgba(219, 55, 55, 0.25); }\n      .bp3-tag.bp3-minimal.bp3-intent-danger.bp3-interactive.bp3-active, .bp3-tag.bp3-minimal.bp3-intent-danger.bp3-interactive:active{\n        background-color:rgba(219, 55, 55, 0.35); }\n    .bp3-tag.bp3-minimal.bp3-intent-danger > .bp3-icon, .bp3-tag.bp3-minimal.bp3-intent-danger .bp3-icon-standard, .bp3-tag.bp3-minimal.bp3-intent-danger .bp3-icon-large{\n      fill:#db3737; }\n    .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-danger{\n      background-color:rgba(219, 55, 55, 0.25);\n      color:#ff7373; }\n      .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-danger.bp3-interactive{\n        cursor:pointer; }\n        .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-danger.bp3-interactive:hover{\n          background-color:rgba(219, 55, 55, 0.35); }\n        .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-danger.bp3-interactive.bp3-active, .bp3-dark .bp3-tag.bp3-minimal.bp3-intent-danger.bp3-interactive:active{\n          background-color:rgba(219, 55, 55, 0.45); }\n\n.bp3-tag-remove{\n  background:none;\n  border:none;\n  color:inherit;\n  cursor:pointer;\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  margin-bottom:-2px;\n  margin-right:-6px !important;\n  margin-top:-2px;\n  opacity:0.5;\n  padding:2px;\n  padding-left:0; }\n  .bp3-tag-remove:hover{\n    background:none;\n    opacity:0.8;\n    text-decoration:none; }\n  .bp3-tag-remove:active{\n    opacity:1; }\n  .bp3-tag-remove:empty::before{\n    font-family:\"Icons16\", sans-serif;\n    font-size:16px;\n    font-style:normal;\n    font-weight:400;\n    line-height:1;\n    -moz-osx-font-smoothing:grayscale;\n    -webkit-font-smoothing:antialiased;\n    content:\"\"; }\n  .bp3-large .bp3-tag-remove{\n    margin-right:-10px !important;\n    padding:0 5px 0 0; }\n    .bp3-large .bp3-tag-remove:empty::before{\n      font-family:\"Icons20\", sans-serif;\n      font-size:20px;\n      font-style:normal;\n      font-weight:400;\n      line-height:1; }\n.bp3-tag-input{\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  -webkit-box-orient:horizontal;\n  -webkit-box-direction:normal;\n      -ms-flex-direction:row;\n          flex-direction:row;\n  -webkit-box-align:start;\n      -ms-flex-align:start;\n          align-items:flex-start;\n  cursor:text;\n  height:auto;\n  line-height:inherit;\n  min-height:30px;\n  padding-left:5px;\n  padding-right:0; }\n  .bp3-tag-input > *{\n    -webkit-box-flex:0;\n        -ms-flex-positive:0;\n            flex-grow:0;\n    -ms-flex-negative:0;\n        flex-shrink:0; }\n  .bp3-tag-input > .bp3-tag-input-values{\n    -webkit-box-flex:1;\n        -ms-flex-positive:1;\n            flex-grow:1;\n    -ms-flex-negative:1;\n        flex-shrink:1; }\n  .bp3-tag-input .bp3-tag-input-icon{\n    color:#5c7080;\n    margin-left:2px;\n    margin-right:7px;\n    margin-top:7px; }\n  .bp3-tag-input .bp3-tag-input-values{\n    display:-webkit-box;\n    display:-ms-flexbox;\n    display:flex;\n    -webkit-box-orient:horizontal;\n    -webkit-box-direction:normal;\n        -ms-flex-direction:row;\n            flex-direction:row;\n    -webkit-box-align:center;\n        -ms-flex-align:center;\n            align-items:center;\n    -ms-flex-item-align:stretch;\n        align-self:stretch;\n    -ms-flex-wrap:wrap;\n        flex-wrap:wrap;\n    margin-right:7px;\n    margin-top:5px;\n    min-width:0; }\n    .bp3-tag-input .bp3-tag-input-values > *{\n      -webkit-box-flex:0;\n          -ms-flex-positive:0;\n              flex-grow:0;\n      -ms-flex-negative:0;\n          flex-shrink:0; }\n    .bp3-tag-input .bp3-tag-input-values > .bp3-fill{\n      -webkit-box-flex:1;\n          -ms-flex-positive:1;\n              flex-grow:1;\n      -ms-flex-negative:1;\n          flex-shrink:1; }\n    .bp3-tag-input .bp3-tag-input-values::before,\n    .bp3-tag-input .bp3-tag-input-values > *{\n      margin-right:5px; }\n    .bp3-tag-input .bp3-tag-input-values:empty::before,\n    .bp3-tag-input .bp3-tag-input-values > :last-child{\n      margin-right:0; }\n    .bp3-tag-input .bp3-tag-input-values:first-child .bp3-input-ghost:first-child{\n      padding-left:5px; }\n    .bp3-tag-input .bp3-tag-input-values > *{\n      margin-bottom:5px; }\n  .bp3-tag-input .bp3-tag{\n    overflow-wrap:break-word; }\n    .bp3-tag-input .bp3-tag.bp3-active{\n      outline:rgba(19, 124, 189, 0.6) auto 2px;\n      outline-offset:0;\n      -moz-outline-radius:6px; }\n  .bp3-tag-input .bp3-input-ghost{\n    -webkit-box-flex:1;\n        -ms-flex:1 1 auto;\n            flex:1 1 auto;\n    line-height:20px;\n    width:80px; }\n    .bp3-tag-input .bp3-input-ghost:disabled, .bp3-tag-input .bp3-input-ghost.bp3-disabled{\n      cursor:not-allowed; }\n  .bp3-tag-input .bp3-button,\n  .bp3-tag-input .bp3-spinner{\n    margin:3px;\n    margin-left:0; }\n  .bp3-tag-input .bp3-button{\n    min-height:24px;\n    min-width:24px;\n    padding:0 7px; }\n  .bp3-tag-input.bp3-large{\n    height:auto;\n    min-height:40px; }\n    .bp3-tag-input.bp3-large::before,\n    .bp3-tag-input.bp3-large > *{\n      margin-right:10px; }\n    .bp3-tag-input.bp3-large:empty::before,\n    .bp3-tag-input.bp3-large > :last-child{\n      margin-right:0; }\n    .bp3-tag-input.bp3-large .bp3-tag-input-icon{\n      margin-left:5px;\n      margin-top:10px; }\n    .bp3-tag-input.bp3-large .bp3-input-ghost{\n      line-height:30px; }\n    .bp3-tag-input.bp3-large .bp3-button{\n      min-height:30px;\n      min-width:30px;\n      padding:5px 10px;\n      margin:5px;\n      margin-left:0; }\n    .bp3-tag-input.bp3-large .bp3-spinner{\n      margin:8px;\n      margin-left:0; }\n  .bp3-tag-input.bp3-active{\n    background-color:#ffffff;\n    -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n            box-shadow:0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n    .bp3-tag-input.bp3-active.bp3-intent-primary{\n      -webkit-box-shadow:0 0 0 1px #106ba3, 0 0 0 3px rgba(16, 107, 163, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n              box-shadow:0 0 0 1px #106ba3, 0 0 0 3px rgba(16, 107, 163, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n    .bp3-tag-input.bp3-active.bp3-intent-success{\n      -webkit-box-shadow:0 0 0 1px #0d8050, 0 0 0 3px rgba(13, 128, 80, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n              box-shadow:0 0 0 1px #0d8050, 0 0 0 3px rgba(13, 128, 80, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n    .bp3-tag-input.bp3-active.bp3-intent-warning{\n      -webkit-box-shadow:0 0 0 1px #bf7326, 0 0 0 3px rgba(191, 115, 38, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n              box-shadow:0 0 0 1px #bf7326, 0 0 0 3px rgba(191, 115, 38, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n    .bp3-tag-input.bp3-active.bp3-intent-danger{\n      -webkit-box-shadow:0 0 0 1px #c23030, 0 0 0 3px rgba(194, 48, 48, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2);\n              box-shadow:0 0 0 1px #c23030, 0 0 0 3px rgba(194, 48, 48, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.2); }\n  .bp3-dark .bp3-tag-input .bp3-tag-input-icon, .bp3-tag-input.bp3-dark .bp3-tag-input-icon{\n    color:#a7b6c2; }\n  .bp3-dark .bp3-tag-input .bp3-input-ghost, .bp3-tag-input.bp3-dark .bp3-input-ghost{\n    color:#f5f8fa; }\n    .bp3-dark .bp3-tag-input .bp3-input-ghost::-webkit-input-placeholder, .bp3-tag-input.bp3-dark .bp3-input-ghost::-webkit-input-placeholder{\n      color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark .bp3-tag-input .bp3-input-ghost::-moz-placeholder, .bp3-tag-input.bp3-dark .bp3-input-ghost::-moz-placeholder{\n      color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark .bp3-tag-input .bp3-input-ghost:-ms-input-placeholder, .bp3-tag-input.bp3-dark .bp3-input-ghost:-ms-input-placeholder{\n      color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark .bp3-tag-input .bp3-input-ghost::-ms-input-placeholder, .bp3-tag-input.bp3-dark .bp3-input-ghost::-ms-input-placeholder{\n      color:rgba(167, 182, 194, 0.6); }\n    .bp3-dark .bp3-tag-input .bp3-input-ghost::placeholder, .bp3-tag-input.bp3-dark .bp3-input-ghost::placeholder{\n      color:rgba(167, 182, 194, 0.6); }\n  .bp3-dark .bp3-tag-input.bp3-active, .bp3-tag-input.bp3-dark.bp3-active{\n    background-color:rgba(16, 22, 26, 0.3);\n    -webkit-box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px #137cbd, 0 0 0 1px #137cbd, 0 0 0 3px rgba(19, 124, 189, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }\n    .bp3-dark .bp3-tag-input.bp3-active.bp3-intent-primary, .bp3-tag-input.bp3-dark.bp3-active.bp3-intent-primary{\n      -webkit-box-shadow:0 0 0 1px #106ba3, 0 0 0 3px rgba(16, 107, 163, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n              box-shadow:0 0 0 1px #106ba3, 0 0 0 3px rgba(16, 107, 163, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }\n    .bp3-dark .bp3-tag-input.bp3-active.bp3-intent-success, .bp3-tag-input.bp3-dark.bp3-active.bp3-intent-success{\n      -webkit-box-shadow:0 0 0 1px #0d8050, 0 0 0 3px rgba(13, 128, 80, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n              box-shadow:0 0 0 1px #0d8050, 0 0 0 3px rgba(13, 128, 80, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }\n    .bp3-dark .bp3-tag-input.bp3-active.bp3-intent-warning, .bp3-tag-input.bp3-dark.bp3-active.bp3-intent-warning{\n      -webkit-box-shadow:0 0 0 1px #bf7326, 0 0 0 3px rgba(191, 115, 38, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n              box-shadow:0 0 0 1px #bf7326, 0 0 0 3px rgba(191, 115, 38, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }\n    .bp3-dark .bp3-tag-input.bp3-active.bp3-intent-danger, .bp3-tag-input.bp3-dark.bp3-active.bp3-intent-danger{\n      -webkit-box-shadow:0 0 0 1px #c23030, 0 0 0 3px rgba(194, 48, 48, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4);\n              box-shadow:0 0 0 1px #c23030, 0 0 0 3px rgba(194, 48, 48, 0.3), inset 0 0 0 1px rgba(16, 22, 26, 0.3), inset 0 1px 1px rgba(16, 22, 26, 0.4); }\n\n.bp3-input-ghost{\n  background:none;\n  border:none;\n  -webkit-box-shadow:none;\n          box-shadow:none;\n  padding:0; }\n  .bp3-input-ghost::-webkit-input-placeholder{\n    color:rgba(92, 112, 128, 0.6);\n    opacity:1; }\n  .bp3-input-ghost::-moz-placeholder{\n    color:rgba(92, 112, 128, 0.6);\n    opacity:1; }\n  .bp3-input-ghost:-ms-input-placeholder{\n    color:rgba(92, 112, 128, 0.6);\n    opacity:1; }\n  .bp3-input-ghost::-ms-input-placeholder{\n    color:rgba(92, 112, 128, 0.6);\n    opacity:1; }\n  .bp3-input-ghost::placeholder{\n    color:rgba(92, 112, 128, 0.6);\n    opacity:1; }\n  .bp3-input-ghost:focus{\n    outline:none !important; }\n.bp3-toast{\n  -webkit-box-align:start;\n      -ms-flex-align:start;\n          align-items:flex-start;\n  background-color:#ffffff;\n  border-radius:3px;\n  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);\n          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  margin:20px 0 0;\n  max-width:500px;\n  min-width:300px;\n  pointer-events:all;\n  position:relative !important; }\n  .bp3-toast.bp3-toast-enter, .bp3-toast.bp3-toast-appear{\n    -webkit-transform:translateY(-40px);\n            transform:translateY(-40px); }\n  .bp3-toast.bp3-toast-enter-active, .bp3-toast.bp3-toast-appear-active{\n    -webkit-transform:translateY(0);\n            transform:translateY(0);\n    -webkit-transition-delay:0;\n            transition-delay:0;\n    -webkit-transition-duration:300ms;\n            transition-duration:300ms;\n    -webkit-transition-property:-webkit-transform;\n    transition-property:-webkit-transform;\n    transition-property:transform;\n    transition-property:transform, -webkit-transform;\n    -webkit-transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);\n            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11); }\n  .bp3-toast.bp3-toast-enter ~ .bp3-toast, .bp3-toast.bp3-toast-appear ~ .bp3-toast{\n    -webkit-transform:translateY(-40px);\n            transform:translateY(-40px); }\n  .bp3-toast.bp3-toast-enter-active ~ .bp3-toast, .bp3-toast.bp3-toast-appear-active ~ .bp3-toast{\n    -webkit-transform:translateY(0);\n            transform:translateY(0);\n    -webkit-transition-delay:0;\n            transition-delay:0;\n    -webkit-transition-duration:300ms;\n            transition-duration:300ms;\n    -webkit-transition-property:-webkit-transform;\n    transition-property:-webkit-transform;\n    transition-property:transform;\n    transition-property:transform, -webkit-transform;\n    -webkit-transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11);\n            transition-timing-function:cubic-bezier(0.54, 1.12, 0.38, 1.11); }\n  .bp3-toast.bp3-toast-exit{\n    opacity:1;\n    -webkit-filter:blur(0);\n            filter:blur(0); }\n  .bp3-toast.bp3-toast-exit-active{\n    opacity:0;\n    -webkit-filter:blur(10px);\n            filter:blur(10px);\n    -webkit-transition-delay:0;\n            transition-delay:0;\n    -webkit-transition-duration:300ms;\n            transition-duration:300ms;\n    -webkit-transition-property:opacity, -webkit-filter;\n    transition-property:opacity, -webkit-filter;\n    transition-property:opacity, filter;\n    transition-property:opacity, filter, -webkit-filter;\n    -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-toast.bp3-toast-exit ~ .bp3-toast{\n    -webkit-transform:translateY(0);\n            transform:translateY(0); }\n  .bp3-toast.bp3-toast-exit-active ~ .bp3-toast{\n    -webkit-transform:translateY(-40px);\n            transform:translateY(-40px);\n    -webkit-transition-delay:50ms;\n            transition-delay:50ms;\n    -webkit-transition-duration:100ms;\n            transition-duration:100ms;\n    -webkit-transition-property:-webkit-transform;\n    transition-property:-webkit-transform;\n    transition-property:transform;\n    transition-property:transform, -webkit-transform;\n    -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-toast .bp3-button-group{\n    -webkit-box-flex:0;\n        -ms-flex:0 0 auto;\n            flex:0 0 auto;\n    padding:5px;\n    padding-left:0; }\n  .bp3-toast > .bp3-icon{\n    color:#5c7080;\n    margin:12px;\n    margin-right:0; }\n  .bp3-toast.bp3-dark,\n  .bp3-dark .bp3-toast{\n    background-color:#394b59;\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4); }\n    .bp3-toast.bp3-dark > .bp3-icon,\n    .bp3-dark .bp3-toast > .bp3-icon{\n      color:#a7b6c2; }\n  .bp3-toast[class*=\"bp3-intent-\"] a{\n    color:rgba(255, 255, 255, 0.7); }\n    .bp3-toast[class*=\"bp3-intent-\"] a:hover{\n      color:#ffffff; }\n  .bp3-toast[class*=\"bp3-intent-\"] > .bp3-icon{\n    color:#ffffff; }\n  .bp3-toast[class*=\"bp3-intent-\"] .bp3-button, .bp3-toast[class*=\"bp3-intent-\"] .bp3-button::before,\n  .bp3-toast[class*=\"bp3-intent-\"] .bp3-button .bp3-icon, .bp3-toast[class*=\"bp3-intent-\"] .bp3-button:active{\n    color:rgba(255, 255, 255, 0.7) !important; }\n  .bp3-toast[class*=\"bp3-intent-\"] .bp3-button:focus{\n    outline-color:rgba(255, 255, 255, 0.5); }\n  .bp3-toast[class*=\"bp3-intent-\"] .bp3-button:hover{\n    background-color:rgba(255, 255, 255, 0.15) !important;\n    color:#ffffff !important; }\n  .bp3-toast[class*=\"bp3-intent-\"] .bp3-button:active{\n    background-color:rgba(255, 255, 255, 0.3) !important;\n    color:#ffffff !important; }\n  .bp3-toast[class*=\"bp3-intent-\"] .bp3-button::after{\n    background:rgba(255, 255, 255, 0.3) !important; }\n  .bp3-toast.bp3-intent-primary{\n    background-color:#137cbd;\n    color:#ffffff; }\n  .bp3-toast.bp3-intent-success{\n    background-color:#0f9960;\n    color:#ffffff; }\n  .bp3-toast.bp3-intent-warning{\n    background-color:#d9822b;\n    color:#ffffff; }\n  .bp3-toast.bp3-intent-danger{\n    background-color:#db3737;\n    color:#ffffff; }\n\n.bp3-toast-message{\n  -webkit-box-flex:1;\n      -ms-flex:1 1 auto;\n          flex:1 1 auto;\n  padding:11px;\n  word-break:break-word; }\n\n.bp3-toast-container{\n  -webkit-box-align:center;\n      -ms-flex-align:center;\n          align-items:center;\n  display:-webkit-box !important;\n  display:-ms-flexbox !important;\n  display:flex !important;\n  -webkit-box-orient:vertical;\n  -webkit-box-direction:normal;\n      -ms-flex-direction:column;\n          flex-direction:column;\n  left:0;\n  overflow:hidden;\n  padding:0 20px 20px;\n  pointer-events:none;\n  right:0;\n  z-index:40; }\n  .bp3-toast-container.bp3-toast-container-in-portal{\n    position:fixed; }\n  .bp3-toast-container.bp3-toast-container-inline{\n    position:absolute; }\n  .bp3-toast-container.bp3-toast-container-top{\n    top:0; }\n  .bp3-toast-container.bp3-toast-container-bottom{\n    bottom:0;\n    -webkit-box-orient:vertical;\n    -webkit-box-direction:reverse;\n        -ms-flex-direction:column-reverse;\n            flex-direction:column-reverse;\n    top:auto; }\n  .bp3-toast-container.bp3-toast-container-left{\n    -webkit-box-align:start;\n        -ms-flex-align:start;\n            align-items:flex-start; }\n  .bp3-toast-container.bp3-toast-container-right{\n    -webkit-box-align:end;\n        -ms-flex-align:end;\n            align-items:flex-end; }\n\n.bp3-toast-container-bottom .bp3-toast.bp3-toast-enter:not(.bp3-toast-enter-active),\n.bp3-toast-container-bottom .bp3-toast.bp3-toast-enter:not(.bp3-toast-enter-active) ~ .bp3-toast, .bp3-toast-container-bottom .bp3-toast.bp3-toast-appear:not(.bp3-toast-appear-active),\n.bp3-toast-container-bottom .bp3-toast.bp3-toast-appear:not(.bp3-toast-appear-active) ~ .bp3-toast,\n.bp3-toast-container-bottom .bp3-toast.bp3-toast-exit-active ~ .bp3-toast,\n.bp3-toast-container-bottom .bp3-toast.bp3-toast-leave-active ~ .bp3-toast{\n  -webkit-transform:translateY(60px);\n          transform:translateY(60px); }\n.bp3-tooltip{\n  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);\n          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 2px 4px rgba(16, 22, 26, 0.2), 0 8px 24px rgba(16, 22, 26, 0.2);\n  -webkit-transform:scale(1);\n          transform:scale(1); }\n  .bp3-tooltip .bp3-popover-arrow{\n    height:22px;\n    position:absolute;\n    width:22px; }\n    .bp3-tooltip .bp3-popover-arrow::before{\n      height:14px;\n      margin:4px;\n      width:14px; }\n  .bp3-tether-element-attached-bottom.bp3-tether-target-attached-top > .bp3-tooltip{\n    margin-bottom:11px;\n    margin-top:-11px; }\n    .bp3-tether-element-attached-bottom.bp3-tether-target-attached-top > .bp3-tooltip > .bp3-popover-arrow{\n      bottom:-8px; }\n      .bp3-tether-element-attached-bottom.bp3-tether-target-attached-top > .bp3-tooltip > .bp3-popover-arrow svg{\n        -webkit-transform:rotate(-90deg);\n                transform:rotate(-90deg); }\n  .bp3-tether-element-attached-left.bp3-tether-target-attached-right > .bp3-tooltip{\n    margin-left:11px; }\n    .bp3-tether-element-attached-left.bp3-tether-target-attached-right > .bp3-tooltip > .bp3-popover-arrow{\n      left:-8px; }\n      .bp3-tether-element-attached-left.bp3-tether-target-attached-right > .bp3-tooltip > .bp3-popover-arrow svg{\n        -webkit-transform:rotate(0);\n                transform:rotate(0); }\n  .bp3-tether-element-attached-top.bp3-tether-target-attached-bottom > .bp3-tooltip{\n    margin-top:11px; }\n    .bp3-tether-element-attached-top.bp3-tether-target-attached-bottom > .bp3-tooltip > .bp3-popover-arrow{\n      top:-8px; }\n      .bp3-tether-element-attached-top.bp3-tether-target-attached-bottom > .bp3-tooltip > .bp3-popover-arrow svg{\n        -webkit-transform:rotate(90deg);\n                transform:rotate(90deg); }\n  .bp3-tether-element-attached-right.bp3-tether-target-attached-left > .bp3-tooltip{\n    margin-left:-11px;\n    margin-right:11px; }\n    .bp3-tether-element-attached-right.bp3-tether-target-attached-left > .bp3-tooltip > .bp3-popover-arrow{\n      right:-8px; }\n      .bp3-tether-element-attached-right.bp3-tether-target-attached-left > .bp3-tooltip > .bp3-popover-arrow svg{\n        -webkit-transform:rotate(180deg);\n                transform:rotate(180deg); }\n  .bp3-tether-element-attached-middle > .bp3-tooltip > .bp3-popover-arrow{\n    top:50%;\n    -webkit-transform:translateY(-50%);\n            transform:translateY(-50%); }\n  .bp3-tether-element-attached-center > .bp3-tooltip > .bp3-popover-arrow{\n    right:50%;\n    -webkit-transform:translateX(50%);\n            transform:translateX(50%); }\n  .bp3-tether-element-attached-top.bp3-tether-target-attached-top > .bp3-tooltip > .bp3-popover-arrow{\n    top:-0.22183px; }\n  .bp3-tether-element-attached-right.bp3-tether-target-attached-right > .bp3-tooltip > .bp3-popover-arrow{\n    right:-0.22183px; }\n  .bp3-tether-element-attached-left.bp3-tether-target-attached-left > .bp3-tooltip > .bp3-popover-arrow{\n    left:-0.22183px; }\n  .bp3-tether-element-attached-bottom.bp3-tether-target-attached-bottom > .bp3-tooltip > .bp3-popover-arrow{\n    bottom:-0.22183px; }\n  .bp3-tether-element-attached-top.bp3-tether-element-attached-left > .bp3-tooltip{\n    -webkit-transform-origin:top left;\n            transform-origin:top left; }\n  .bp3-tether-element-attached-top.bp3-tether-element-attached-center > .bp3-tooltip{\n    -webkit-transform-origin:top center;\n            transform-origin:top center; }\n  .bp3-tether-element-attached-top.bp3-tether-element-attached-right > .bp3-tooltip{\n    -webkit-transform-origin:top right;\n            transform-origin:top right; }\n  .bp3-tether-element-attached-middle.bp3-tether-element-attached-left > .bp3-tooltip{\n    -webkit-transform-origin:center left;\n            transform-origin:center left; }\n  .bp3-tether-element-attached-middle.bp3-tether-element-attached-center > .bp3-tooltip{\n    -webkit-transform-origin:center center;\n            transform-origin:center center; }\n  .bp3-tether-element-attached-middle.bp3-tether-element-attached-right > .bp3-tooltip{\n    -webkit-transform-origin:center right;\n            transform-origin:center right; }\n  .bp3-tether-element-attached-bottom.bp3-tether-element-attached-left > .bp3-tooltip{\n    -webkit-transform-origin:bottom left;\n            transform-origin:bottom left; }\n  .bp3-tether-element-attached-bottom.bp3-tether-element-attached-center > .bp3-tooltip{\n    -webkit-transform-origin:bottom center;\n            transform-origin:bottom center; }\n  .bp3-tether-element-attached-bottom.bp3-tether-element-attached-right > .bp3-tooltip{\n    -webkit-transform-origin:bottom right;\n            transform-origin:bottom right; }\n  .bp3-tooltip .bp3-popover-content{\n    background:#394b59;\n    color:#f5f8fa; }\n  .bp3-tooltip .bp3-popover-arrow::before{\n    -webkit-box-shadow:1px 1px 6px rgba(16, 22, 26, 0.2);\n            box-shadow:1px 1px 6px rgba(16, 22, 26, 0.2); }\n  .bp3-tooltip .bp3-popover-arrow-border{\n    fill:#10161a;\n    fill-opacity:0.1; }\n  .bp3-tooltip .bp3-popover-arrow-fill{\n    fill:#394b59; }\n  .bp3-popover-enter > .bp3-tooltip, .bp3-popover-appear > .bp3-tooltip{\n    -webkit-transform:scale(0.8);\n            transform:scale(0.8); }\n  .bp3-popover-enter-active > .bp3-tooltip, .bp3-popover-appear-active > .bp3-tooltip{\n    -webkit-transform:scale(1);\n            transform:scale(1);\n    -webkit-transition-delay:0;\n            transition-delay:0;\n    -webkit-transition-duration:100ms;\n            transition-duration:100ms;\n    -webkit-transition-property:-webkit-transform;\n    transition-property:-webkit-transform;\n    transition-property:transform;\n    transition-property:transform, -webkit-transform;\n    -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-popover-exit > .bp3-tooltip{\n    -webkit-transform:scale(1);\n            transform:scale(1); }\n  .bp3-popover-exit-active > .bp3-tooltip{\n    -webkit-transform:scale(0.8);\n            transform:scale(0.8);\n    -webkit-transition-delay:0;\n            transition-delay:0;\n    -webkit-transition-duration:100ms;\n            transition-duration:100ms;\n    -webkit-transition-property:-webkit-transform;\n    transition-property:-webkit-transform;\n    transition-property:transform;\n    transition-property:transform, -webkit-transform;\n    -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-tooltip .bp3-popover-content{\n    padding:10px 12px; }\n  .bp3-tooltip.bp3-dark,\n  .bp3-dark .bp3-tooltip{\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 2px 4px rgba(16, 22, 26, 0.4), 0 8px 24px rgba(16, 22, 26, 0.4); }\n    .bp3-tooltip.bp3-dark .bp3-popover-content,\n    .bp3-dark .bp3-tooltip .bp3-popover-content{\n      background:#e1e8ed;\n      color:#394b59; }\n    .bp3-tooltip.bp3-dark .bp3-popover-arrow::before,\n    .bp3-dark .bp3-tooltip .bp3-popover-arrow::before{\n      -webkit-box-shadow:1px 1px 6px rgba(16, 22, 26, 0.4);\n              box-shadow:1px 1px 6px rgba(16, 22, 26, 0.4); }\n    .bp3-tooltip.bp3-dark .bp3-popover-arrow-border,\n    .bp3-dark .bp3-tooltip .bp3-popover-arrow-border{\n      fill:#10161a;\n      fill-opacity:0.2; }\n    .bp3-tooltip.bp3-dark .bp3-popover-arrow-fill,\n    .bp3-dark .bp3-tooltip .bp3-popover-arrow-fill{\n      fill:#e1e8ed; }\n  .bp3-tooltip.bp3-intent-primary .bp3-popover-content{\n    background:#137cbd;\n    color:#ffffff; }\n  .bp3-tooltip.bp3-intent-primary .bp3-popover-arrow-fill{\n    fill:#137cbd; }\n  .bp3-tooltip.bp3-intent-success .bp3-popover-content{\n    background:#0f9960;\n    color:#ffffff; }\n  .bp3-tooltip.bp3-intent-success .bp3-popover-arrow-fill{\n    fill:#0f9960; }\n  .bp3-tooltip.bp3-intent-warning .bp3-popover-content{\n    background:#d9822b;\n    color:#ffffff; }\n  .bp3-tooltip.bp3-intent-warning .bp3-popover-arrow-fill{\n    fill:#d9822b; }\n  .bp3-tooltip.bp3-intent-danger .bp3-popover-content{\n    background:#db3737;\n    color:#ffffff; }\n  .bp3-tooltip.bp3-intent-danger .bp3-popover-arrow-fill{\n    fill:#db3737; }\n\n.bp3-tooltip-indicator{\n  border-bottom:dotted 1px;\n  cursor:help; }\n.bp3-tree .bp3-icon, .bp3-tree .bp3-icon-standard, .bp3-tree .bp3-icon-large{\n  color:#5c7080; }\n  .bp3-tree .bp3-icon.bp3-intent-primary, .bp3-tree .bp3-icon-standard.bp3-intent-primary, .bp3-tree .bp3-icon-large.bp3-intent-primary{\n    color:#137cbd; }\n  .bp3-tree .bp3-icon.bp3-intent-success, .bp3-tree .bp3-icon-standard.bp3-intent-success, .bp3-tree .bp3-icon-large.bp3-intent-success{\n    color:#0f9960; }\n  .bp3-tree .bp3-icon.bp3-intent-warning, .bp3-tree .bp3-icon-standard.bp3-intent-warning, .bp3-tree .bp3-icon-large.bp3-intent-warning{\n    color:#d9822b; }\n  .bp3-tree .bp3-icon.bp3-intent-danger, .bp3-tree .bp3-icon-standard.bp3-intent-danger, .bp3-tree .bp3-icon-large.bp3-intent-danger{\n    color:#db3737; }\n\n.bp3-tree-node-list{\n  list-style:none;\n  margin:0;\n  padding-left:0; }\n\n.bp3-tree-root{\n  background-color:transparent;\n  cursor:default;\n  padding-left:0;\n  position:relative; }\n\n.bp3-tree-node-content-0{\n  padding-left:0px; }\n\n.bp3-tree-node-content-1{\n  padding-left:23px; }\n\n.bp3-tree-node-content-2{\n  padding-left:46px; }\n\n.bp3-tree-node-content-3{\n  padding-left:69px; }\n\n.bp3-tree-node-content-4{\n  padding-left:92px; }\n\n.bp3-tree-node-content-5{\n  padding-left:115px; }\n\n.bp3-tree-node-content-6{\n  padding-left:138px; }\n\n.bp3-tree-node-content-7{\n  padding-left:161px; }\n\n.bp3-tree-node-content-8{\n  padding-left:184px; }\n\n.bp3-tree-node-content-9{\n  padding-left:207px; }\n\n.bp3-tree-node-content-10{\n  padding-left:230px; }\n\n.bp3-tree-node-content-11{\n  padding-left:253px; }\n\n.bp3-tree-node-content-12{\n  padding-left:276px; }\n\n.bp3-tree-node-content-13{\n  padding-left:299px; }\n\n.bp3-tree-node-content-14{\n  padding-left:322px; }\n\n.bp3-tree-node-content-15{\n  padding-left:345px; }\n\n.bp3-tree-node-content-16{\n  padding-left:368px; }\n\n.bp3-tree-node-content-17{\n  padding-left:391px; }\n\n.bp3-tree-node-content-18{\n  padding-left:414px; }\n\n.bp3-tree-node-content-19{\n  padding-left:437px; }\n\n.bp3-tree-node-content-20{\n  padding-left:460px; }\n\n.bp3-tree-node-content{\n  -webkit-box-align:center;\n      -ms-flex-align:center;\n          align-items:center;\n  display:-webkit-box;\n  display:-ms-flexbox;\n  display:flex;\n  height:30px;\n  padding-right:5px;\n  width:100%; }\n  .bp3-tree-node-content:hover{\n    background-color:rgba(191, 204, 214, 0.4); }\n\n.bp3-tree-node-caret,\n.bp3-tree-node-caret-none{\n  min-width:30px; }\n\n.bp3-tree-node-caret{\n  color:#5c7080;\n  cursor:pointer;\n  padding:7px;\n  -webkit-transform:rotate(0deg);\n          transform:rotate(0deg);\n  -webkit-transition:-webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9);\n  transition:-webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9);\n  transition:transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9);\n  transition:transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9), -webkit-transform 200ms cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-tree-node-caret:hover{\n    color:#182026; }\n  .bp3-dark .bp3-tree-node-caret{\n    color:#a7b6c2; }\n    .bp3-dark .bp3-tree-node-caret:hover{\n      color:#f5f8fa; }\n  .bp3-tree-node-caret.bp3-tree-node-caret-open{\n    -webkit-transform:rotate(90deg);\n            transform:rotate(90deg); }\n  .bp3-tree-node-caret.bp3-icon-standard::before{\n    content:\"\"; }\n\n.bp3-tree-node-icon{\n  margin-right:7px;\n  position:relative; }\n\n.bp3-tree-node-label{\n  overflow:hidden;\n  text-overflow:ellipsis;\n  white-space:nowrap;\n  word-wrap:normal;\n  -webkit-box-flex:1;\n      -ms-flex:1 1 auto;\n          flex:1 1 auto;\n  position:relative;\n  -webkit-user-select:none;\n     -moz-user-select:none;\n      -ms-user-select:none;\n          user-select:none; }\n  .bp3-tree-node-label span{\n    display:inline; }\n\n.bp3-tree-node-secondary-label{\n  padding:0 5px;\n  -webkit-user-select:none;\n     -moz-user-select:none;\n      -ms-user-select:none;\n          user-select:none; }\n  .bp3-tree-node-secondary-label .bp3-popover-wrapper,\n  .bp3-tree-node-secondary-label .bp3-popover-target{\n    -webkit-box-align:center;\n        -ms-flex-align:center;\n            align-items:center;\n    display:-webkit-box;\n    display:-ms-flexbox;\n    display:flex; }\n\n.bp3-tree-node.bp3-disabled .bp3-tree-node-content{\n  background-color:inherit;\n  color:rgba(92, 112, 128, 0.6);\n  cursor:not-allowed; }\n\n.bp3-tree-node.bp3-disabled .bp3-tree-node-caret,\n.bp3-tree-node.bp3-disabled .bp3-tree-node-icon{\n  color:rgba(92, 112, 128, 0.6);\n  cursor:not-allowed; }\n\n.bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content{\n  background-color:#137cbd; }\n  .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content,\n  .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content .bp3-icon, .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content .bp3-icon-standard, .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content .bp3-icon-large{\n    color:#ffffff; }\n  .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content .bp3-tree-node-caret::before{\n    color:rgba(255, 255, 255, 0.7); }\n  .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content .bp3-tree-node-caret:hover::before{\n    color:#ffffff; }\n\n.bp3-dark .bp3-tree-node-content:hover{\n  background-color:rgba(92, 112, 128, 0.3); }\n\n.bp3-dark .bp3-tree .bp3-icon, .bp3-dark .bp3-tree .bp3-icon-standard, .bp3-dark .bp3-tree .bp3-icon-large{\n  color:#a7b6c2; }\n  .bp3-dark .bp3-tree .bp3-icon.bp3-intent-primary, .bp3-dark .bp3-tree .bp3-icon-standard.bp3-intent-primary, .bp3-dark .bp3-tree .bp3-icon-large.bp3-intent-primary{\n    color:#137cbd; }\n  .bp3-dark .bp3-tree .bp3-icon.bp3-intent-success, .bp3-dark .bp3-tree .bp3-icon-standard.bp3-intent-success, .bp3-dark .bp3-tree .bp3-icon-large.bp3-intent-success{\n    color:#0f9960; }\n  .bp3-dark .bp3-tree .bp3-icon.bp3-intent-warning, .bp3-dark .bp3-tree .bp3-icon-standard.bp3-intent-warning, .bp3-dark .bp3-tree .bp3-icon-large.bp3-intent-warning{\n    color:#d9822b; }\n  .bp3-dark .bp3-tree .bp3-icon.bp3-intent-danger, .bp3-dark .bp3-tree .bp3-icon-standard.bp3-intent-danger, .bp3-dark .bp3-tree .bp3-icon-large.bp3-intent-danger{\n    color:#db3737; }\n\n.bp3-dark .bp3-tree-node.bp3-tree-node-selected > .bp3-tree-node-content{\n  background-color:#137cbd; }\n.bp3-omnibar{\n  -webkit-filter:blur(0);\n          filter:blur(0);\n  opacity:1;\n  background-color:#ffffff;\n  border-radius:3px;\n  -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);\n          box-shadow:0 0 0 1px rgba(16, 22, 26, 0.1), 0 4px 8px rgba(16, 22, 26, 0.2), 0 18px 46px 6px rgba(16, 22, 26, 0.2);\n  left:calc(50% - 250px);\n  top:20vh;\n  width:500px;\n  z-index:21; }\n  .bp3-omnibar.bp3-overlay-enter, .bp3-omnibar.bp3-overlay-appear{\n    -webkit-filter:blur(20px);\n            filter:blur(20px);\n    opacity:0.2; }\n  .bp3-omnibar.bp3-overlay-enter-active, .bp3-omnibar.bp3-overlay-appear-active{\n    -webkit-filter:blur(0);\n            filter:blur(0);\n    opacity:1;\n    -webkit-transition-delay:0;\n            transition-delay:0;\n    -webkit-transition-duration:200ms;\n            transition-duration:200ms;\n    -webkit-transition-property:opacity, -webkit-filter;\n    transition-property:opacity, -webkit-filter;\n    transition-property:filter, opacity;\n    transition-property:filter, opacity, -webkit-filter;\n    -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-omnibar.bp3-overlay-exit{\n    -webkit-filter:blur(0);\n            filter:blur(0);\n    opacity:1; }\n  .bp3-omnibar.bp3-overlay-exit-active{\n    -webkit-filter:blur(20px);\n            filter:blur(20px);\n    opacity:0.2;\n    -webkit-transition-delay:0;\n            transition-delay:0;\n    -webkit-transition-duration:200ms;\n            transition-duration:200ms;\n    -webkit-transition-property:opacity, -webkit-filter;\n    transition-property:opacity, -webkit-filter;\n    transition-property:filter, opacity;\n    transition-property:filter, opacity, -webkit-filter;\n    -webkit-transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9);\n            transition-timing-function:cubic-bezier(0.4, 1, 0.75, 0.9); }\n  .bp3-omnibar .bp3-input{\n    background-color:transparent;\n    border-radius:0; }\n    .bp3-omnibar .bp3-input, .bp3-omnibar .bp3-input:focus{\n      -webkit-box-shadow:none;\n              box-shadow:none; }\n  .bp3-omnibar .bp3-menu{\n    background-color:transparent;\n    border-radius:0;\n    -webkit-box-shadow:inset 0 1px 0 rgba(16, 22, 26, 0.15);\n            box-shadow:inset 0 1px 0 rgba(16, 22, 26, 0.15);\n    max-height:calc(60vh - 40px);\n    overflow:auto; }\n    .bp3-omnibar .bp3-menu:empty{\n      display:none; }\n  .bp3-dark .bp3-omnibar, .bp3-omnibar.bp3-dark{\n    background-color:#30404d;\n    -webkit-box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4);\n            box-shadow:0 0 0 1px rgba(16, 22, 26, 0.2), 0 4px 8px rgba(16, 22, 26, 0.4), 0 18px 46px 6px rgba(16, 22, 26, 0.4); }\n\n.bp3-omnibar-overlay .bp3-overlay-backdrop{\n  background-color:rgba(16, 22, 26, 0.2); }\n\n.bp3-select-popover .bp3-popover-content{\n  padding:5px; }\n\n.bp3-select-popover .bp3-input-group{\n  margin-bottom:0; }\n\n.bp3-select-popover .bp3-menu{\n  max-height:300px;\n  max-width:400px;\n  overflow:auto;\n  padding:0; }\n  .bp3-select-popover .bp3-menu:not(:first-child){\n    padding-top:5px; }\n\n.bp3-multi-select{\n  min-width:150px; }\n\n.bp3-multi-select-popover .bp3-menu{\n  max-height:300px;\n  max-width:400px;\n  overflow:auto; }\n\n.bp3-select-popover .bp3-popover-content{\n  padding:5px; }\n\n.bp3-select-popover .bp3-input-group{\n  margin-bottom:0; }\n\n.bp3-select-popover .bp3-menu{\n  max-height:300px;\n  max-width:400px;\n  overflow:auto;\n  padding:0; }\n  .bp3-select-popover .bp3-menu:not(:first-child){\n    padding-top:5px; }\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */\n\n/**\n * (DEPRECATED) Support for consuming icons as CSS background images\n */\n\n/* Icons urls */\n\n:root {\n  --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);\n  --jp-icon-bug: url(data:image/svg+xml;base64,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);\n  --jp-icon-build: url(data:image/svg+xml;base64,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);\n  --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);\n  --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);\n  --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);\n  --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);\n  --jp-icon-caret-right: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik03LjIsNS4yTDEwLjksOWwtMy44LDMuOFY1LjJINy4yeiIvPgogIDwvZz4KPC9zdmc+Cg==);\n  --jp-icon-caret-up-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iMTUuNCwxMy4zIDkuOSw3LjcgNC40LDEzLjIgMy42LDEyLjUgOS45LDYuMyAxNi4xLDEyLjYgIi8+Cgk8L2c+Cjwvc3ZnPgo=);\n  --jp-icon-caret-up: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik01LjIsMTAuNUw5LDYuOGwzLjgsMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);\n  --jp-icon-case-sensitive: url(data:image/svg+xml;base64,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);\n  --jp-icon-check: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik05IDE2LjE3TDQuODMgMTJsLTEuNDIgMS40MUw5IDE5IDIxIDdsLTEuNDEtMS40MXoiLz4KICA8L2c+Cjwvc3ZnPgo=);\n  --jp-icon-circle-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDJDNi40NyAyIDIgNi40NyAyIDEyczQuNDcgMTAgMTAgMTAgMTAtNC40NyAxMC0xMFMxNy41MyAyIDEyIDJ6bTAgMThjLTQuNDEgMC04LTMuNTktOC04czMuNTktOCA4LTggOCAzLjU5IDggOC0zLjU5IDgtOCA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);\n  --jp-icon-circle: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iOSIgY3k9IjkiIHI9IjgiLz4KICA8L2c+Cjwvc3ZnPgo=);\n  --jp-icon-clear: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8bWFzayBpZD0iZG9udXRIb2xlIj4KICAgIDxyZWN0IHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgZmlsbD0id2hpdGUiIC8+CiAgICA8Y2lyY2xlIGN4PSIxMiIgY3k9IjEyIiByPSI4IiBmaWxsPSJibGFjayIvPgogIDwvbWFzaz4KCiAgPGcgY2xhc3M9ImpwLWljb24zIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxyZWN0IGhlaWdodD0iMTgiIHdpZHRoPSIyIiB4PSIxMSIgeT0iMyIgdHJhbnNmb3JtPSJyb3RhdGUoMzE1LCAxMiwgMTIpIi8+CiAgICA8Y2lyY2xlIGN4PSIxMiIgY3k9IjEyIiByPSIxMCIgbWFzaz0idXJsKCNkb251dEhvbGUpIi8+CiAgPC9nPgo8L3N2Zz4K);\n  --jp-icon-close: url(data:image/svg+xml;base64,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);\n  --jp-icon-code: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTExLjQgMTguNkw2LjggMTRMMTEuNCA5LjRMMTAgOEw0IDE0TDEwIDIwTDExLjQgMTguNlpNMTYuNiAxOC42TDIxLjIgMTRMMTYuNiA5LjRMMTggOEwyNCAxNEwxOCAyMEwxNi42IDE4LjZWMTguNloiLz4KCTwvZz4KPC9zdmc+Cg==);\n  --jp-icon-console: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwMCAyMDAiPgogIDxnIGNsYXNzPSJqcC1pY29uLWJyYW5kMSBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiMwMjg4RDEiPgogICAgPHBhdGggZD0iTTIwIDE5LjhoMTYwdjE1OS45SDIweiIvPgogIDwvZz4KICA8ZyBjbGFzcz0ianAtaWNvbi1zZWxlY3RhYmxlLWludmVyc2UiIGZpbGw9IiNmZmYiPgogICAgPHBhdGggZD0iTTEwNSAxMjcuM2g0MHYxMi44aC00MHpNNTEuMSA3N0w3NCA5OS45bC0yMy4zIDIzLjMgMTAuNSAxMC41IDIzLjMtMjMuM0w5NSA5OS45IDg0LjUgODkuNCA2MS42IDY2LjV6Ii8+CiAgPC9nPgo8L3N2Zz4K);\n  --jp-icon-copy: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTExLjksMUgzLjJDMi40LDEsMS43LDEuNywxLjcsMi41djEwLjJoMS41VjIuNWg4LjdWMXogTTE0LjEsMy45aC04Yy0wLjgsMC0xLjUsMC43LTEuNSwxLjV2MTAuMmMwLDAuOCwwLjcsMS41LDEuNSwxLjVoOCBjMC44LDAsMS41LTAuNywxLjUtMS41VjUuNEMxNS41LDQuNiwxNC45LDMuOSwxNC4xLDMuOXogTTE0LjEsMTUuNWgtOFY1LjRoOFYxNS41eiIvPgogIDwvZz4KPC9zdmc+Cg==);\n  --jp-icon-copyright: url(data:image/svg+xml;base64,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);\n  --jp-icon-cut: url(data:image/svg+xml;base64,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);\n  --jp-icon-download: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDloLTRWM0g5djZINWw3IDcgNy03ek01IDE4djJoMTR2LTJINXoiLz4KICA8L2c+Cjwvc3ZnPgo=);\n  --jp-icon-edit: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMgMTcuMjVWMjFoMy43NUwxNy44MSA5Ljk0bC0zLjc1LTMuNzVMMyAxNy4yNXpNMjAuNzEgNy4wNGMuMzktLjM5LjM5LTEuMDIgMC0xLjQxbC0yLjM0LTIuMzRjLS4zOS0uMzktMS4wMi0uMzktMS40MSAwbC0xLjgzIDEuODMgMy43NSAzLjc1IDEuODMtMS44M3oiLz4KICA8L2c+Cjwvc3ZnPgo=);\n  --jp-icon-ellipses: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iNSIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxMiIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxOSIgY3k9IjEyIiByPSIyIi8+CiAgPC9nPgo8L3N2Zz4K);\n  --jp-icon-extension: url(data:image/svg+xml;base64,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);\n  --jp-icon-fast-forward: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTQgMThsOC41LTZMNCA2djEyem05LTEydjEybDguNS02TDEzIDZ6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);\n  --jp-icon-file-upload: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTkgMTZoNnYtNmg0bC03LTctNyA3aDR6bS00IDJoMTR2Mkg1eiIvPgogIDwvZz4KPC9zdmc+Cg==);\n  --jp-icon-file: url(data:image/svg+xml;base64,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);\n  --jp-icon-filter-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEwIDE4aDR2LTJoLTR2MnpNMyA2djJoMThWNkgzem0zIDdoMTJ2LTJINnYyeiIvPgogIDwvZz4KPC9zdmc+Cg==);\n  --jp-icon-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY4YzAtMS4xLS45LTItMi0yaC04bC0yLTJ6Ii8+Cjwvc3ZnPgo=);\n  --jp-icon-html5: url(data:image/svg+xml;base64,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);\n  --jp-icon-image: url(data:image/svg+xml;base64,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);\n  --jp-icon-inspector: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY2YzAtMS4xLS45LTItMi0yem0tNSAxNEg0di00aDExdjR6bTAtNUg0VjloMTF2NHptNSA1aC00VjloNHY5eiIvPgo8L3N2Zz4K);\n  --jp-icon-json: url(data:image/svg+xml;base64,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);\n  --jp-icon-julia: url(data:image/svg+xml;base64,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);\n  --jp-icon-jupyter-favicon: url(data:image/svg+xml;base64,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);\n  --jp-icon-jupyter: url(data:image/svg+xml;base64,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);\n  --jp-icon-jupyterlab-wordmark: url(data:image/svg+xml;base64,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);\n  --jp-icon-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzYxNjE2MSIgZD0iTTE1IDlIOXY2aDZWOXptLTIgNGgtMnYtMmgydjJ6bTgtMlY5aC0yVjdjMC0xLjEtLjktMi0yLTJoLTJWM2gtMnYyaC0yVjNIOXYySDdjLTEuMSAwLTIgLjktMiAydjJIM3YyaDJ2MkgzdjJoMnYyYzAgMS4xLjkgMiAyIDJoMnYyaDJ2LTJoMnYyaDJ2LTJoMmMxLjEgMCAyLS45IDItMnYtMmgydi0yaC0ydi0yaDJ6bS00IDZIN1Y3aDEwdjEweiIvPgo8L3N2Zz4K);\n  --jp-icon-keyboard: url(data:image/svg+xml;base64,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);\n  --jp-icon-launcher: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkgMTlINVY1aDdWM0g1YTIgMiAwIDAwLTIgMnYxNGEyIDIgMCAwMDIgMmgxNGMxLjEgMCAyLS45IDItMnYtN2gtMnY3ek0xNCAzdjJoMy41OWwtOS44MyA5LjgzIDEuNDEgMS40MUwxOSA2LjQxVjEwaDJWM2gtN3oiLz4KPC9zdmc+Cg==);\n  --jp-icon-line-form: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGZpbGw9IndoaXRlIiBkPSJNNS44OCA0LjEyTDEzLjc2IDEybC03Ljg4IDcuODhMOCAyMmwxMC0xMEw4IDJ6Ii8+Cjwvc3ZnPgo=);\n  --jp-icon-link: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMuOSAxMmMwLTEuNzEgMS4zOS0zLjEgMy4xLTMuMWg0VjdIN2MtMi43NiAwLTUgMi4yNC01IDVzMi4yNCA1IDUgNWg0di0xLjlIN2MtMS43MSAwLTMuMS0xLjM5LTMuMS0zLjF6TTggMTNoOHYtMkg4djJ6bTktNmgtNHYxLjloNGMxLjcxIDAgMy4xIDEuMzkgMy4xIDMuMXMtMS4zOSAzLjEtMy4xIDMuMWgtNFYxN2g0YzIuNzYgMCA1LTIuMjQgNS01cy0yLjI0LTUtNS01eiIvPgogIDwvZz4KPC9zdmc+Cg==);\n  --jp-icon-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xOSA1djE0SDVWNWgxNG0xLjEtMkgzLjljLS41IDAtLjkuNC0uOS45djE2LjJjMCAuNC40LjkuOS45aDE2LjJjLjQgMCAuOS0uNS45LS45VjMuOWMwLS41LS41LS45LS45LS45ek0xMSA3aDZ2MmgtNlY3em0wIDRoNnYyaC02di0yem0wIDRoNnYyaC02ek03IDdoMnYySDd6bTAgNGgydjJIN3ptMCA0aDJ2Mkg3eiIvPgo8L3N2Zz4=);\n  --jp-icon-listings-info: url(data:image/svg+xml;base64,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);\n  --jp-icon-markdown: url(data:image/svg+xml;base64,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);\n  --jp-icon-new-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwIDZoLThsLTItMkg0Yy0xLjExIDAtMS45OS44OS0xLjk5IDJMMiAxOGMwIDEuMTEuODkgMiAyIDJoMTZjMS4xMSAwIDItLjg5IDItMlY4YzAtMS4xMS0uODktMi0yLTJ6bS0xIDhoLTN2M2gtMnYtM2gtM3YtMmgzVjloMnYzaDN2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);\n  --jp-icon-not-trusted: url(data:image/svg+xml;base64,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);\n  --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbi13YXJuMCBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);\n  --jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K);\n  --jp-icon-offline-bolt: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDIuMDJjLTUuNTEgMC05Ljk4IDQuNDctOS45OCA5Ljk4czQuNDcgOS45OCA5Ljk4IDkuOTggOS45OC00LjQ3IDkuOTgtOS45OFMxNy41MSAyLjAyIDEyIDIuMDJ6TTExLjQ4IDIwdi02LjI2SDhMMTMgNHY2LjI2aDMuMzVMMTEuNDggMjB6Ii8+CiAgPC9nPgo8L3N2Zz4K);\n  --jp-icon-palette: url(data:image/svg+xml;base64,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);\n  --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);\n  --jp-icon-pdf: url(data:image/svg+xml;base64,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);\n  --jp-icon-python: url(data:image/svg+xml;base64,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);\n  --jp-icon-r-kernel: url(data:image/svg+xml;base64,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);\n  --jp-icon-react: url(data:image/svg+xml;base64,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);\n  --jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);\n  --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);\n  --jp-icon-regex: url(data:image/svg+xml;base64,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);\n  --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);\n  --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);\n  --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);\n  --jp-icon-search: url(data:image/svg+xml;base64,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);\n  --jp-icon-settings: url(data:image/svg+xml;base64,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);\n  --jp-icon-spreadsheet: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNENBRjUwIiBkPSJNMi4yIDIuMnYxNy42aDE3LjZWMi4ySDIuMnptMTUuNCA3LjdoLTUuNVY0LjRoNS41djUuNXpNOS45IDQuNHY1LjVINC40VjQuNGg1LjV6bS01LjUgNy43aDUuNXY1LjVINC40di01LjV6bTcuNyA1LjV2LTUuNWg1LjV2NS41aC01LjV6Ii8+Cjwvc3ZnPgo=);\n  --jp-icon-stop: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik02IDZoMTJ2MTJINnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);\n  --jp-icon-tab: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIxIDNIM2MtMS4xIDAtMiAuOS0yIDJ2MTRjMCAxLjEuOSAyIDIgMmgxOGMxLjEgMCAyLS45IDItMlY1YzAtMS4xLS45LTItMi0yem0wIDE2SDNWNWgxMHY0aDh2MTB6Ii8+CiAgPC9nPgo8L3N2Zz4K);\n  --jp-icon-table-rows: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMSw4SDNWNGgxOFY4eiBNMjEsMTBIM3Y0aDE4VjEweiBNMjEsMTZIM3Y0aDE4VjE2eiIvPgogICAgPC9nPgo8L3N2Zz4=);\n  --jp-icon-tag: url(data:image/svg+xml;base64,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);\n  --jp-icon-terminal: url(data:image/svg+xml;base64,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);\n  --jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTUgMTVIM3YyaDEydi0yem0wLThIM3YyaDEyVjd6TTMgMTNoMTh2LTJIM3Yyem0wIDhoMTh2LTJIM3Yyek0zIDN2MmgxOFYzSDN6Ii8+Cjwvc3ZnPgo=);\n  --jp-icon-toc: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik03LDVIMjFWN0g3VjVNNywxM1YxMUgyMVYxM0g3TTQsNC41QTEuNSwxLjUgMCAwLDEgNS41LDZBMS41LDEuNSAwIDAsMSA0LDcuNUExLjUsMS41IDAgMCwxIDIuNSw2QTEuNSwxLjUgMCAwLDEgNCw0LjVNNCwxMC41QTEuNSwxLjUgMCAwLDEgNS41LDEyQTEuNSwxLjUgMCAwLDEgNCwxMy41QTEuNSwxLjUgMCAwLDEgMi41LDEyQTEuNSwxLjUgMCAwLDEgNCwxMC41TTcsMTlWMTdIMjFWMTlIN000LDE2LjVBMS41LDEuNSAwIDAsMSA1LjUsMThBMS41LDEuNSAwIDAsMSA0LDE5LjVBMS41LDEuNSAwIDAsMSAyLjUsMThBMS41LDEuNSAwIDAsMSA0LDE2LjVaIiAvPgogIDwvZz4KPC9zdmc+Cg==);\n  --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4=);\n  --jp-icon-trusted: url(data:image/svg+xml;base64,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);\n  --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);\n  --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);\n  --jp-icon-yaml: url(data:image/svg+xml;base64,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);\n}\n\n/* Icon CSS class declarations */\n\n.jp-AddIcon {\n  background-image: var(--jp-icon-add);\n}\n.jp-BugIcon {\n  background-image: var(--jp-icon-bug);\n}\n.jp-BuildIcon {\n  background-image: var(--jp-icon-build);\n}\n.jp-CaretDownEmptyIcon {\n  background-image: var(--jp-icon-caret-down-empty);\n}\n.jp-CaretDownEmptyThinIcon {\n  background-image: var(--jp-icon-caret-down-empty-thin);\n}\n.jp-CaretDownIcon {\n  background-image: var(--jp-icon-caret-down);\n}\n.jp-CaretLeftIcon {\n  background-image: var(--jp-icon-caret-left);\n}\n.jp-CaretRightIcon {\n  background-image: var(--jp-icon-caret-right);\n}\n.jp-CaretUpEmptyThinIcon {\n  background-image: var(--jp-icon-caret-up-empty-thin);\n}\n.jp-CaretUpIcon {\n  background-image: var(--jp-icon-caret-up);\n}\n.jp-CaseSensitiveIcon {\n  background-image: var(--jp-icon-case-sensitive);\n}\n.jp-CheckIcon {\n  background-image: var(--jp-icon-check);\n}\n.jp-CircleEmptyIcon {\n  background-image: var(--jp-icon-circle-empty);\n}\n.jp-CircleIcon {\n  background-image: var(--jp-icon-circle);\n}\n.jp-ClearIcon {\n  background-image: var(--jp-icon-clear);\n}\n.jp-CloseIcon {\n  background-image: var(--jp-icon-close);\n}\n.jp-CodeIcon {\n  background-image: var(--jp-icon-code);\n}\n.jp-ConsoleIcon {\n  background-image: var(--jp-icon-console);\n}\n.jp-CopyIcon {\n  background-image: var(--jp-icon-copy);\n}\n.jp-CopyrightIcon {\n  background-image: var(--jp-icon-copyright);\n}\n.jp-CutIcon {\n  background-image: var(--jp-icon-cut);\n}\n.jp-DownloadIcon {\n  background-image: var(--jp-icon-download);\n}\n.jp-EditIcon {\n  background-image: var(--jp-icon-edit);\n}\n.jp-EllipsesIcon {\n  background-image: var(--jp-icon-ellipses);\n}\n.jp-ExtensionIcon {\n  background-image: var(--jp-icon-extension);\n}\n.jp-FastForwardIcon {\n  background-image: var(--jp-icon-fast-forward);\n}\n.jp-FileIcon {\n  background-image: var(--jp-icon-file);\n}\n.jp-FileUploadIcon {\n  background-image: var(--jp-icon-file-upload);\n}\n.jp-FilterListIcon {\n  background-image: var(--jp-icon-filter-list);\n}\n.jp-FolderIcon {\n  background-image: var(--jp-icon-folder);\n}\n.jp-Html5Icon {\n  background-image: var(--jp-icon-html5);\n}\n.jp-ImageIcon {\n  background-image: var(--jp-icon-image);\n}\n.jp-InspectorIcon {\n  background-image: var(--jp-icon-inspector);\n}\n.jp-JsonIcon {\n  background-image: var(--jp-icon-json);\n}\n.jp-JuliaIcon {\n  background-image: var(--jp-icon-julia);\n}\n.jp-JupyterFaviconIcon {\n  background-image: var(--jp-icon-jupyter-favicon);\n}\n.jp-JupyterIcon {\n  background-image: var(--jp-icon-jupyter);\n}\n.jp-JupyterlabWordmarkIcon {\n  background-image: var(--jp-icon-jupyterlab-wordmark);\n}\n.jp-KernelIcon {\n  background-image: var(--jp-icon-kernel);\n}\n.jp-KeyboardIcon {\n  background-image: var(--jp-icon-keyboard);\n}\n.jp-LauncherIcon {\n  background-image: var(--jp-icon-launcher);\n}\n.jp-LineFormIcon {\n  background-image: var(--jp-icon-line-form);\n}\n.jp-LinkIcon {\n  background-image: var(--jp-icon-link);\n}\n.jp-ListIcon {\n  background-image: var(--jp-icon-list);\n}\n.jp-ListingsInfoIcon {\n  background-image: var(--jp-icon-listings-info);\n}\n.jp-MarkdownIcon {\n  background-image: var(--jp-icon-markdown);\n}\n.jp-NewFolderIcon {\n  background-image: var(--jp-icon-new-folder);\n}\n.jp-NotTrustedIcon {\n  background-image: var(--jp-icon-not-trusted);\n}\n.jp-NotebookIcon {\n  background-image: var(--jp-icon-notebook);\n}\n.jp-NumberingIcon {\n  background-image: var(--jp-icon-numbering);\n}\n.jp-OfflineBoltIcon {\n  background-image: var(--jp-icon-offline-bolt);\n}\n.jp-PaletteIcon {\n  background-image: var(--jp-icon-palette);\n}\n.jp-PasteIcon {\n  background-image: var(--jp-icon-paste);\n}\n.jp-PdfIcon {\n  background-image: var(--jp-icon-pdf);\n}\n.jp-PythonIcon {\n  background-image: var(--jp-icon-python);\n}\n.jp-RKernelIcon {\n  background-image: var(--jp-icon-r-kernel);\n}\n.jp-ReactIcon {\n  background-image: var(--jp-icon-react);\n}\n.jp-RedoIcon {\n  background-image: var(--jp-icon-redo);\n}\n.jp-RefreshIcon {\n  background-image: var(--jp-icon-refresh);\n}\n.jp-RegexIcon {\n  background-image: var(--jp-icon-regex);\n}\n.jp-RunIcon {\n  background-image: var(--jp-icon-run);\n}\n.jp-RunningIcon {\n  background-image: var(--jp-icon-running);\n}\n.jp-SaveIcon {\n  background-image: var(--jp-icon-save);\n}\n.jp-SearchIcon {\n  background-image: var(--jp-icon-search);\n}\n.jp-SettingsIcon {\n  background-image: var(--jp-icon-settings);\n}\n.jp-SpreadsheetIcon {\n  background-image: var(--jp-icon-spreadsheet);\n}\n.jp-StopIcon {\n  background-image: var(--jp-icon-stop);\n}\n.jp-TabIcon {\n  background-image: var(--jp-icon-tab);\n}\n.jp-TableRowsIcon {\n  background-image: var(--jp-icon-table-rows);\n}\n.jp-TagIcon {\n  background-image: var(--jp-icon-tag);\n}\n.jp-TerminalIcon {\n  background-image: var(--jp-icon-terminal);\n}\n.jp-TextEditorIcon {\n  background-image: var(--jp-icon-text-editor);\n}\n.jp-TocIcon {\n  background-image: var(--jp-icon-toc);\n}\n.jp-TreeViewIcon {\n  background-image: var(--jp-icon-tree-view);\n}\n.jp-TrustedIcon {\n  background-image: var(--jp-icon-trusted);\n}\n.jp-UndoIcon {\n  background-image: var(--jp-icon-undo);\n}\n.jp-VegaIcon {\n  background-image: var(--jp-icon-vega);\n}\n.jp-YamlIcon {\n  background-image: var(--jp-icon-yaml);\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/**\n * (DEPRECATED) Support for consuming icons as CSS background images\n */\n\n.jp-Icon,\n.jp-MaterialIcon {\n  background-position: center;\n  background-repeat: no-repeat;\n  background-size: 16px;\n  min-width: 16px;\n  min-height: 16px;\n}\n\n.jp-Icon-cover {\n  background-position: center;\n  background-repeat: no-repeat;\n  background-size: cover;\n}\n\n/**\n * (DEPRECATED) Support for specific CSS icon sizes\n */\n\n.jp-Icon-16 {\n  background-size: 16px;\n  min-width: 16px;\n  min-height: 16px;\n}\n\n.jp-Icon-18 {\n  background-size: 18px;\n  min-width: 18px;\n  min-height: 18px;\n}\n\n.jp-Icon-20 {\n  background-size: 20px;\n  min-width: 20px;\n  min-height: 20px;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/**\n * Support for icons as inline SVG HTMLElements\n */\n\n/* recolor the primary elements of an icon */\n.jp-icon0[fill] {\n  fill: var(--jp-inverse-layout-color0);\n}\n.jp-icon1[fill] {\n  fill: var(--jp-inverse-layout-color1);\n}\n.jp-icon2[fill] {\n  fill: var(--jp-inverse-layout-color2);\n}\n.jp-icon3[fill] {\n  fill: var(--jp-inverse-layout-color3);\n}\n.jp-icon4[fill] {\n  fill: var(--jp-inverse-layout-color4);\n}\n\n.jp-icon0[stroke] {\n  stroke: var(--jp-inverse-layout-color0);\n}\n.jp-icon1[stroke] {\n  stroke: var(--jp-inverse-layout-color1);\n}\n.jp-icon2[stroke] {\n  stroke: var(--jp-inverse-layout-color2);\n}\n.jp-icon3[stroke] {\n  stroke: var(--jp-inverse-layout-color3);\n}\n.jp-icon4[stroke] {\n  stroke: var(--jp-inverse-layout-color4);\n}\n/* recolor the accent elements of an icon */\n.jp-icon-accent0[fill] {\n  fill: var(--jp-layout-color0);\n}\n.jp-icon-accent1[fill] {\n  fill: var(--jp-layout-color1);\n}\n.jp-icon-accent2[fill] {\n  fill: var(--jp-layout-color2);\n}\n.jp-icon-accent3[fill] {\n  fill: var(--jp-layout-color3);\n}\n.jp-icon-accent4[fill] {\n  fill: var(--jp-layout-color4);\n}\n\n.jp-icon-accent0[stroke] {\n  stroke: var(--jp-layout-color0);\n}\n.jp-icon-accent1[stroke] {\n  stroke: var(--jp-layout-color1);\n}\n.jp-icon-accent2[stroke] {\n  stroke: var(--jp-layout-color2);\n}\n.jp-icon-accent3[stroke] {\n  stroke: var(--jp-layout-color3);\n}\n.jp-icon-accent4[stroke] {\n  stroke: var(--jp-layout-color4);\n}\n/* set the color of an icon to transparent */\n.jp-icon-none[fill] {\n  fill: none;\n}\n\n.jp-icon-none[stroke] {\n  stroke: none;\n}\n/* brand icon colors. Same for light and dark */\n.jp-icon-brand0[fill] {\n  fill: var(--jp-brand-color0);\n}\n.jp-icon-brand1[fill] {\n  fill: var(--jp-brand-color1);\n}\n.jp-icon-brand2[fill] {\n  fill: var(--jp-brand-color2);\n}\n.jp-icon-brand3[fill] {\n  fill: var(--jp-brand-color3);\n}\n.jp-icon-brand4[fill] {\n  fill: var(--jp-brand-color4);\n}\n\n.jp-icon-brand0[stroke] {\n  stroke: var(--jp-brand-color0);\n}\n.jp-icon-brand1[stroke] {\n  stroke: var(--jp-brand-color1);\n}\n.jp-icon-brand2[stroke] {\n  stroke: var(--jp-brand-color2);\n}\n.jp-icon-brand3[stroke] {\n  stroke: var(--jp-brand-color3);\n}\n.jp-icon-brand4[stroke] {\n  stroke: var(--jp-brand-color4);\n}\n/* warn icon colors. Same for light and dark */\n.jp-icon-warn0[fill] {\n  fill: var(--jp-warn-color0);\n}\n.jp-icon-warn1[fill] {\n  fill: var(--jp-warn-color1);\n}\n.jp-icon-warn2[fill] {\n  fill: var(--jp-warn-color2);\n}\n.jp-icon-warn3[fill] {\n  fill: var(--jp-warn-color3);\n}\n\n.jp-icon-warn0[stroke] {\n  stroke: var(--jp-warn-color0);\n}\n.jp-icon-warn1[stroke] {\n  stroke: var(--jp-warn-color1);\n}\n.jp-icon-warn2[stroke] {\n  stroke: var(--jp-warn-color2);\n}\n.jp-icon-warn3[stroke] {\n  stroke: var(--jp-warn-color3);\n}\n/* icon colors that contrast well with each other and most backgrounds */\n.jp-icon-contrast0[fill] {\n  fill: var(--jp-icon-contrast-color0);\n}\n.jp-icon-contrast1[fill] {\n  fill: var(--jp-icon-contrast-color1);\n}\n.jp-icon-contrast2[fill] {\n  fill: var(--jp-icon-contrast-color2);\n}\n.jp-icon-contrast3[fill] {\n  fill: var(--jp-icon-contrast-color3);\n}\n\n.jp-icon-contrast0[stroke] {\n  stroke: var(--jp-icon-contrast-color0);\n}\n.jp-icon-contrast1[stroke] {\n  stroke: var(--jp-icon-contrast-color1);\n}\n.jp-icon-contrast2[stroke] {\n  stroke: var(--jp-icon-contrast-color2);\n}\n.jp-icon-contrast3[stroke] {\n  stroke: var(--jp-icon-contrast-color3);\n}\n\n/* CSS for icons in selected items in the settings editor */\n#setting-editor .jp-PluginList .jp-mod-selected .jp-icon-selectable[fill] {\n  fill: #fff;\n}\n#setting-editor\n  .jp-PluginList\n  .jp-mod-selected\n  .jp-icon-selectable-inverse[fill] {\n  fill: var(--jp-brand-color1);\n}\n\n/* CSS for icons in selected filebrowser listing items */\n.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {\n  fill: #fff;\n}\n.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {\n  fill: var(--jp-brand-color1);\n}\n\n/* CSS for icons in selected tabs in the sidebar tab manager */\n#tab-manager .lm-TabBar-tab.jp-mod-active .jp-icon-selectable[fill] {\n  fill: #fff;\n}\n\n#tab-manager .lm-TabBar-tab.jp-mod-active .jp-icon-selectable-inverse[fill] {\n  fill: var(--jp-brand-color1);\n}\n#tab-manager\n  .lm-TabBar-tab.jp-mod-active\n  .jp-icon-hover\n  :hover\n  .jp-icon-selectable[fill] {\n  fill: var(--jp-brand-color1);\n}\n\n#tab-manager\n  .lm-TabBar-tab.jp-mod-active\n  .jp-icon-hover\n  :hover\n  .jp-icon-selectable-inverse[fill] {\n  fill: #fff;\n}\n\n/**\n * TODO: come up with non css-hack solution for showing the busy icon on top\n *  of the close icon\n * CSS for complex behavior of close icon of tabs in the sidebar tab manager\n */\n#tab-manager\n  .lm-TabBar-tab.jp-mod-dirty\n  > .lm-TabBar-tabCloseIcon\n  > :not(:hover)\n  > .jp-icon3[fill] {\n  fill: none;\n}\n#tab-manager\n  .lm-TabBar-tab.jp-mod-dirty\n  > .lm-TabBar-tabCloseIcon\n  > :not(:hover)\n  > .jp-icon-busy[fill] {\n  fill: var(--jp-inverse-layout-color3);\n}\n\n#tab-manager\n  .lm-TabBar-tab.jp-mod-dirty.jp-mod-active\n  > .lm-TabBar-tabCloseIcon\n  > :not(:hover)\n  > .jp-icon-busy[fill] {\n  fill: #fff;\n}\n\n/**\n* TODO: come up with non css-hack solution for showing the busy icon on top\n*  of the close icon\n* CSS for complex behavior of close icon of tabs in the main area tabbar\n*/\n.lm-DockPanel-tabBar\n  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty\n  > .lm-TabBar-tabCloseIcon\n  > :not(:hover)\n  > .jp-icon3[fill] {\n  fill: none;\n}\n.lm-DockPanel-tabBar\n  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty\n  > .lm-TabBar-tabCloseIcon\n  > :not(:hover)\n  > .jp-icon-busy[fill] {\n  fill: var(--jp-inverse-layout-color3);\n}\n\n/* CSS for icons in status bar */\n#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {\n  fill: #fff;\n}\n\n#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {\n  fill: var(--jp-brand-color1);\n}\n/* special handling for splash icon CSS. While the theme CSS reloads during\n   splash, the splash icon can loose theming. To prevent that, we set a\n   default for its color variable */\n:root {\n  --jp-warn-color0: var(--md-orange-700);\n}\n\n/* not sure what to do with this one, used in filebrowser listing */\n.jp-DragIcon {\n  margin-right: 4px;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/**\n * Support for alt colors for icons as inline SVG HTMLElements\n */\n\n/* alt recolor the primary elements of an icon */\n.jp-icon-alt .jp-icon0[fill] {\n  fill: var(--jp-layout-color0);\n}\n.jp-icon-alt .jp-icon1[fill] {\n  fill: var(--jp-layout-color1);\n}\n.jp-icon-alt .jp-icon2[fill] {\n  fill: var(--jp-layout-color2);\n}\n.jp-icon-alt .jp-icon3[fill] {\n  fill: var(--jp-layout-color3);\n}\n.jp-icon-alt .jp-icon4[fill] {\n  fill: var(--jp-layout-color4);\n}\n\n.jp-icon-alt .jp-icon0[stroke] {\n  stroke: var(--jp-layout-color0);\n}\n.jp-icon-alt .jp-icon1[stroke] {\n  stroke: var(--jp-layout-color1);\n}\n.jp-icon-alt .jp-icon2[stroke] {\n  stroke: var(--jp-layout-color2);\n}\n.jp-icon-alt .jp-icon3[stroke] {\n  stroke: var(--jp-layout-color3);\n}\n.jp-icon-alt .jp-icon4[stroke] {\n  stroke: var(--jp-layout-color4);\n}\n\n/* alt recolor the accent elements of an icon */\n.jp-icon-alt .jp-icon-accent0[fill] {\n  fill: var(--jp-inverse-layout-color0);\n}\n.jp-icon-alt .jp-icon-accent1[fill] {\n  fill: var(--jp-inverse-layout-color1);\n}\n.jp-icon-alt .jp-icon-accent2[fill] {\n  fill: var(--jp-inverse-layout-color2);\n}\n.jp-icon-alt .jp-icon-accent3[fill] {\n  fill: var(--jp-inverse-layout-color3);\n}\n.jp-icon-alt .jp-icon-accent4[fill] {\n  fill: var(--jp-inverse-layout-color4);\n}\n\n.jp-icon-alt .jp-icon-accent0[stroke] {\n  stroke: var(--jp-inverse-layout-color0);\n}\n.jp-icon-alt .jp-icon-accent1[stroke] {\n  stroke: var(--jp-inverse-layout-color1);\n}\n.jp-icon-alt .jp-icon-accent2[stroke] {\n  stroke: var(--jp-inverse-layout-color2);\n}\n.jp-icon-alt .jp-icon-accent3[stroke] {\n  stroke: var(--jp-inverse-layout-color3);\n}\n.jp-icon-alt .jp-icon-accent4[stroke] {\n  stroke: var(--jp-inverse-layout-color4);\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-icon-hoverShow:not(:hover) svg {\n  display: none !important;\n}\n\n/**\n * Support for hover colors for icons as inline SVG HTMLElements\n */\n\n/**\n * regular colors\n */\n\n/* recolor the primary elements of an icon */\n.jp-icon-hover :hover .jp-icon0-hover[fill] {\n  fill: var(--jp-inverse-layout-color0);\n}\n.jp-icon-hover :hover .jp-icon1-hover[fill] {\n  fill: var(--jp-inverse-layout-color1);\n}\n.jp-icon-hover :hover .jp-icon2-hover[fill] {\n  fill: var(--jp-inverse-layout-color2);\n}\n.jp-icon-hover :hover .jp-icon3-hover[fill] {\n  fill: var(--jp-inverse-layout-color3);\n}\n.jp-icon-hover :hover .jp-icon4-hover[fill] {\n  fill: var(--jp-inverse-layout-color4);\n}\n\n.jp-icon-hover :hover .jp-icon0-hover[stroke] {\n  stroke: var(--jp-inverse-layout-color0);\n}\n.jp-icon-hover :hover .jp-icon1-hover[stroke] {\n  stroke: var(--jp-inverse-layout-color1);\n}\n.jp-icon-hover :hover .jp-icon2-hover[stroke] {\n  stroke: var(--jp-inverse-layout-color2);\n}\n.jp-icon-hover :hover .jp-icon3-hover[stroke] {\n  stroke: var(--jp-inverse-layout-color3);\n}\n.jp-icon-hover :hover .jp-icon4-hover[stroke] {\n  stroke: var(--jp-inverse-layout-color4);\n}\n\n/* recolor the accent elements of an icon */\n.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {\n  fill: var(--jp-layout-color0);\n}\n.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {\n  fill: var(--jp-layout-color1);\n}\n.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {\n  fill: var(--jp-layout-color2);\n}\n.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {\n  fill: var(--jp-layout-color3);\n}\n.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {\n  fill: var(--jp-layout-color4);\n}\n\n.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {\n  stroke: var(--jp-layout-color0);\n}\n.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {\n  stroke: var(--jp-layout-color1);\n}\n.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {\n  stroke: var(--jp-layout-color2);\n}\n.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {\n  stroke: var(--jp-layout-color3);\n}\n.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {\n  stroke: var(--jp-layout-color4);\n}\n\n/* set the color of an icon to transparent */\n.jp-icon-hover :hover .jp-icon-none-hover[fill] {\n  fill: none;\n}\n\n.jp-icon-hover :hover .jp-icon-none-hover[stroke] {\n  stroke: none;\n}\n\n/**\n * inverse colors\n */\n\n/* inverse recolor the primary elements of an icon */\n.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {\n  fill: var(--jp-layout-color0);\n}\n.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {\n  fill: var(--jp-layout-color1);\n}\n.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {\n  fill: var(--jp-layout-color2);\n}\n.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {\n  fill: var(--jp-layout-color3);\n}\n.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {\n  fill: var(--jp-layout-color4);\n}\n\n.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {\n  stroke: var(--jp-layout-color0);\n}\n.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {\n  stroke: var(--jp-layout-color1);\n}\n.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {\n  stroke: var(--jp-layout-color2);\n}\n.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {\n  stroke: var(--jp-layout-color3);\n}\n.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {\n  stroke: var(--jp-layout-color4);\n}\n\n/* inverse recolor the accent elements of an icon */\n.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {\n  fill: var(--jp-inverse-layout-color0);\n}\n.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {\n  fill: var(--jp-inverse-layout-color1);\n}\n.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {\n  fill: var(--jp-inverse-layout-color2);\n}\n.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {\n  fill: var(--jp-inverse-layout-color3);\n}\n.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {\n  fill: var(--jp-inverse-layout-color4);\n}\n\n.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {\n  stroke: var(--jp-inverse-layout-color0);\n}\n.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {\n  stroke: var(--jp-inverse-layout-color1);\n}\n.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {\n  stroke: var(--jp-inverse-layout-color2);\n}\n.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {\n  stroke: var(--jp-inverse-layout-color3);\n}\n.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {\n  stroke: var(--jp-inverse-layout-color4);\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-switch {\n  display: flex;\n  align-items: center;\n  padding-left: 4px;\n  padding-right: 4px;\n  font-size: var(--jp-ui-font-size1);\n  background-color: transparent;\n  color: var(--jp-ui-font-color1);\n  border: none;\n  height: 20px;\n}\n\n.jp-switch:hover {\n  background-color: var(--jp-layout-color2);\n}\n\n.jp-switch-label {\n  margin-right: 5px;\n}\n\n.jp-switch-track {\n  cursor: pointer;\n  background-color: var(--jp-border-color1);\n  -webkit-transition: 0.4s;\n  transition: 0.4s;\n  border-radius: 34px;\n  height: 16px;\n  width: 35px;\n  position: relative;\n}\n\n.jp-switch-track::before {\n  content: '';\n  position: absolute;\n  height: 10px;\n  width: 10px;\n  margin: 3px;\n  left: 0px;\n  background-color: var(--jp-ui-inverse-font-color1);\n  -webkit-transition: 0.4s;\n  transition: 0.4s;\n  border-radius: 50%;\n}\n\n.jp-switch[aria-checked='true'] .jp-switch-track {\n  background-color: var(--jp-warn-color0);\n}\n\n.jp-switch[aria-checked='true'] .jp-switch-track::before {\n  /* track width (35) - margins (3 + 3) - thumb width (10) */\n  left: 19px;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/* Sibling imports */\n\n/* Override Blueprint's _reset.scss styles */\nhtml {\n  box-sizing: unset;\n}\n\n*,\n*::before,\n*::after {\n  box-sizing: unset;\n}\n\nbody {\n  color: unset;\n  font-family: var(--jp-ui-font-family);\n}\n\np {\n  margin-top: unset;\n  margin-bottom: unset;\n}\n\nsmall {\n  font-size: unset;\n}\n\nstrong {\n  font-weight: unset;\n}\n\n/* Override Blueprint's _typography.scss styles */\na {\n  text-decoration: unset;\n  color: unset;\n}\na:hover {\n  text-decoration: unset;\n  color: unset;\n}\n\n/* Override Blueprint's _accessibility.scss styles */\n:focus {\n  outline: unset;\n  outline-offset: unset;\n  -moz-outline-radius: unset;\n}\n\n/* Styles for ui-components */\n.jp-Button {\n  border-radius: var(--jp-border-radius);\n  padding: 0px 12px;\n  font-size: var(--jp-ui-font-size1);\n}\n\n/* Use our own theme for hover styles */\nbutton.jp-Button.bp3-button.bp3-minimal:hover {\n  background-color: var(--jp-layout-color2);\n}\n.jp-Button.minimal {\n  color: unset !important;\n}\n\n.jp-Button.jp-ToolbarButtonComponent {\n  text-transform: none;\n}\n\n.jp-InputGroup input {\n  box-sizing: border-box;\n  border-radius: 0;\n  background-color: transparent;\n  color: var(--jp-ui-font-color0);\n  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);\n}\n\n.jp-InputGroup input:focus {\n  box-shadow: inset 0 0 0 var(--jp-border-width)\n      var(--jp-input-active-box-shadow-color),\n    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);\n}\n\n.jp-InputGroup input::placeholder,\ninput::placeholder {\n  color: var(--jp-ui-font-color3);\n}\n\n.jp-BPIcon {\n  display: inline-block;\n  vertical-align: middle;\n  margin: auto;\n}\n\n/* Stop blueprint futzing with our icon fills */\n.bp3-icon.jp-BPIcon > svg:not([fill]) {\n  fill: var(--jp-inverse-layout-color3);\n}\n\n.jp-InputGroupAction {\n  padding: 6px;\n}\n\n.jp-HTMLSelect.jp-DefaultStyle select {\n  background-color: initial;\n  border: none;\n  border-radius: 0;\n  box-shadow: none;\n  color: var(--jp-ui-font-color0);\n  display: block;\n  font-size: var(--jp-ui-font-size1);\n  height: 24px;\n  line-height: 14px;\n  padding: 0 25px 0 10px;\n  text-align: left;\n  -moz-appearance: none;\n  -webkit-appearance: none;\n}\n\n/* Use our own theme for hover and option styles */\n.jp-HTMLSelect.jp-DefaultStyle select:hover,\n.jp-HTMLSelect.jp-DefaultStyle select > option {\n  background-color: var(--jp-layout-color2);\n  color: var(--jp-ui-font-color0);\n}\nselect {\n  box-sizing: border-box;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-Collapse {\n  display: flex;\n  flex-direction: column;\n  align-items: stretch;\n  border-top: 1px solid var(--jp-border-color2);\n  border-bottom: 1px solid var(--jp-border-color2);\n}\n\n.jp-Collapse-header {\n  padding: 1px 12px;\n  color: var(--jp-ui-font-color1);\n  background-color: var(--jp-layout-color1);\n  font-size: var(--jp-ui-font-size2);\n}\n\n.jp-Collapse-header:hover {\n  background-color: var(--jp-layout-color2);\n}\n\n.jp-Collapse-contents {\n  padding: 0px 12px 0px 12px;\n  background-color: var(--jp-layout-color1);\n  color: var(--jp-ui-font-color1);\n  overflow: auto;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Variables\n|----------------------------------------------------------------------------*/\n\n:root {\n  --jp-private-commandpalette-search-height: 28px;\n}\n\n/*-----------------------------------------------------------------------------\n| Overall styles\n|----------------------------------------------------------------------------*/\n\n.lm-CommandPalette {\n  padding-bottom: 0px;\n  color: var(--jp-ui-font-color1);\n  background: var(--jp-layout-color1);\n  /* This is needed so that all font sizing of children done in ems is\n   * relative to this base size */\n  font-size: var(--jp-ui-font-size1);\n}\n\n/*-----------------------------------------------------------------------------\n| Modal variant\n|----------------------------------------------------------------------------*/\n\n.jp-ModalCommandPalette {\n  position: absolute;\n  z-index: 10000;\n  top: 38px;\n  left: 30%;\n  margin: 0;\n  padding: 4px;\n  width: 40%;\n  box-shadow: var(--jp-elevation-z4);\n  border-radius: 4px;\n  background: var(--jp-layout-color0);\n}\n\n.jp-ModalCommandPalette .lm-CommandPalette {\n  max-height: 40vh;\n}\n\n.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {\n  display: none;\n}\n\n.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {\n  display: none;\n}\n\n.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {\n  margin-left: 4px;\n  margin-right: 4px;\n}\n\n.jp-ModalCommandPalette\n  .lm-CommandPalette\n  .lm-CommandPalette-item.lm-mod-disabled {\n  display: none;\n}\n\n/*-----------------------------------------------------------------------------\n| Search\n|----------------------------------------------------------------------------*/\n\n.lm-CommandPalette-search {\n  padding: 4px;\n  background-color: var(--jp-layout-color1);\n  z-index: 2;\n}\n\n.lm-CommandPalette-wrapper {\n  overflow: overlay;\n  padding: 0px 9px;\n  background-color: var(--jp-input-active-background);\n  height: 30px;\n  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);\n}\n\n.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {\n  box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),\n    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);\n}\n\n.jp-SearchIconGroup {\n  color: white;\n  background-color: var(--jp-brand-color1);\n  position: absolute;\n  top: 4px;\n  right: 4px;\n  padding: 5px 5px 1px 5px;\n}\n\n.jp-SearchIconGroup svg {\n  height: 20px;\n  width: 20px;\n}\n\n.jp-SearchIconGroup .jp-icon3[fill] {\n  fill: var(--jp-layout-color0);\n}\n\n.lm-CommandPalette-input {\n  background: transparent;\n  width: calc(100% - 18px);\n  float: left;\n  border: none;\n  outline: none;\n  font-size: var(--jp-ui-font-size1);\n  color: var(--jp-ui-font-color0);\n  line-height: var(--jp-private-commandpalette-search-height);\n}\n\n.lm-CommandPalette-input::-webkit-input-placeholder,\n.lm-CommandPalette-input::-moz-placeholder,\n.lm-CommandPalette-input:-ms-input-placeholder {\n  color: var(--jp-ui-font-color2);\n  font-size: var(--jp-ui-font-size1);\n}\n\n/*-----------------------------------------------------------------------------\n| Results\n|----------------------------------------------------------------------------*/\n\n.lm-CommandPalette-header:first-child {\n  margin-top: 0px;\n}\n\n.lm-CommandPalette-header {\n  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);\n  color: var(--jp-ui-font-color1);\n  cursor: pointer;\n  display: flex;\n  font-size: var(--jp-ui-font-size0);\n  font-weight: 600;\n  letter-spacing: 1px;\n  margin-top: 8px;\n  padding: 8px 0 8px 12px;\n  text-transform: uppercase;\n}\n\n.lm-CommandPalette-header.lm-mod-active {\n  background: var(--jp-layout-color2);\n}\n\n.lm-CommandPalette-header > mark {\n  background-color: transparent;\n  font-weight: bold;\n  color: var(--jp-ui-font-color1);\n}\n\n.lm-CommandPalette-item {\n  padding: 4px 12px 4px 4px;\n  color: var(--jp-ui-font-color1);\n  font-size: var(--jp-ui-font-size1);\n  font-weight: 400;\n  display: flex;\n}\n\n.lm-CommandPalette-item.lm-mod-disabled {\n  color: var(--jp-ui-font-color2);\n}\n\n.lm-CommandPalette-item.lm-mod-active {\n  color: var(--jp-ui-inverse-font-color1);\n  background: var(--jp-brand-color1);\n}\n\n.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {\n  color: var(--jp-ui-inverse-font-color0);\n}\n\n.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {\n  fill: var(--jp-layout-color0);\n}\n\n.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {\n  color: var(--jp-ui-inverse-font-color0);\n}\n\n.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {\n  color: var(--jp-ui-inverse-font-color1);\n  background: var(--jp-brand-color1);\n}\n\n.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {\n  background: var(--jp-layout-color2);\n}\n\n.lm-CommandPalette-itemContent {\n  overflow: hidden;\n}\n\n.lm-CommandPalette-itemLabel > mark {\n  color: var(--jp-ui-font-color0);\n  background-color: transparent;\n  font-weight: bold;\n}\n\n.lm-CommandPalette-item.lm-mod-disabled mark {\n  color: var(--jp-ui-font-color2);\n}\n\n.lm-CommandPalette-item .lm-CommandPalette-itemIcon {\n  margin: 0 4px 0 0;\n  position: relative;\n  width: 16px;\n  top: 2px;\n  flex: 0 0 auto;\n}\n\n.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {\n  opacity: 0.6;\n}\n\n.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {\n  flex: 0 0 auto;\n}\n\n.lm-CommandPalette-itemCaption {\n  display: none;\n}\n\n.lm-CommandPalette-content {\n  background-color: var(--jp-layout-color1);\n}\n\n.lm-CommandPalette-content:empty:after {\n  content: 'No results';\n  margin: auto;\n  margin-top: 20px;\n  width: 100px;\n  display: block;\n  font-size: var(--jp-ui-font-size2);\n  font-family: var(--jp-ui-font-family);\n  font-weight: lighter;\n}\n\n.lm-CommandPalette-emptyMessage {\n  text-align: center;\n  margin-top: 24px;\n  line-height: 1.32;\n  padding: 0px 8px;\n  color: var(--jp-content-font-color3);\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) 2014-2017, Jupyter Development Team.\n|\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-Dialog {\n  position: absolute;\n  z-index: 10000;\n  display: flex;\n  flex-direction: column;\n  align-items: center;\n  justify-content: center;\n  top: 0px;\n  left: 0px;\n  margin: 0;\n  padding: 0;\n  width: 100%;\n  height: 100%;\n  background: var(--jp-dialog-background);\n}\n\n.jp-Dialog-content {\n  display: flex;\n  flex-direction: column;\n  margin-left: auto;\n  margin-right: auto;\n  background: var(--jp-layout-color1);\n  padding: 24px;\n  padding-bottom: 12px;\n  min-width: 300px;\n  min-height: 150px;\n  max-width: 1000px;\n  max-height: 500px;\n  box-sizing: border-box;\n  box-shadow: var(--jp-elevation-z20);\n  word-wrap: break-word;\n  border-radius: var(--jp-border-radius);\n  /* This is needed so that all font sizing of children done in ems is\n   * relative to this base size */\n  font-size: var(--jp-ui-font-size1);\n  color: var(--jp-ui-font-color1);\n  resize: both;\n}\n\n.jp-Dialog-button {\n  overflow: visible;\n}\n\nbutton.jp-Dialog-button:focus {\n  outline: 1px solid var(--jp-brand-color1);\n  outline-offset: 4px;\n  -moz-outline-radius: 0px;\n}\n\nbutton.jp-Dialog-button:focus::-moz-focus-inner {\n  border: 0;\n}\n\nbutton.jp-Dialog-close-button {\n  padding: 0;\n  height: 100%;\n  min-width: unset;\n  min-height: unset;\n}\n\n.jp-Dialog-header {\n  display: flex;\n  justify-content: space-between;\n  flex: 0 0 auto;\n  padding-bottom: 12px;\n  font-size: var(--jp-ui-font-size3);\n  font-weight: 400;\n  color: var(--jp-ui-font-color0);\n}\n\n.jp-Dialog-body {\n  display: flex;\n  flex-direction: column;\n  flex: 1 1 auto;\n  font-size: var(--jp-ui-font-size1);\n  background: var(--jp-layout-color1);\n  overflow: auto;\n}\n\n.jp-Dialog-footer {\n  display: flex;\n  flex-direction: row;\n  justify-content: flex-end;\n  flex: 0 0 auto;\n  margin-left: -12px;\n  margin-right: -12px;\n  padding: 12px;\n}\n\n.jp-Dialog-title {\n  overflow: hidden;\n  white-space: nowrap;\n  text-overflow: ellipsis;\n}\n\n.jp-Dialog-body > .jp-select-wrapper {\n  width: 100%;\n}\n\n.jp-Dialog-body > button {\n  padding: 0px 16px;\n}\n\n.jp-Dialog-body > label {\n  line-height: 1.4;\n  color: var(--jp-ui-font-color0);\n}\n\n.jp-Dialog-button.jp-mod-styled:not(:last-child) {\n  margin-right: 12px;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) 2014-2016, Jupyter Development Team.\n|\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-HoverBox {\n  position: fixed;\n}\n\n.jp-HoverBox.jp-mod-outofview {\n  display: none;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-IFrame {\n  width: 100%;\n  height: 100%;\n}\n\n.jp-IFrame > iframe {\n  border: none;\n}\n\n/*\nWhen drag events occur, `p-mod-override-cursor` is added to the body.\nBecause iframes steal all cursor events, the following two rules are necessary\nto suppress pointer events while resize drags are occurring. There may be a\nbetter solution to this problem.\n*/\nbody.lm-mod-override-cursor .jp-IFrame {\n  position: relative;\n}\n\nbody.lm-mod-override-cursor .jp-IFrame:before {\n  content: '';\n  position: absolute;\n  top: 0;\n  left: 0;\n  right: 0;\n  bottom: 0;\n  background: transparent;\n}\n\n.jp-Input-Boolean-Dialog {\n  flex-direction: row-reverse;\n  align-items: end;\n  width: 100%;\n}\n\n.jp-Input-Boolean-Dialog > label {\n  flex: 1 1 auto;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) 2014-2016, Jupyter Development Team.\n|\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-MainAreaWidget > :focus {\n  outline: none;\n}\n\n/**\n * google-material-color v1.2.6\n * https://github.com/danlevan/google-material-color\n */\n:root {\n  --md-red-50: #ffebee;\n  --md-red-100: #ffcdd2;\n  --md-red-200: #ef9a9a;\n  --md-red-300: #e57373;\n  --md-red-400: #ef5350;\n  --md-red-500: #f44336;\n  --md-red-600: #e53935;\n  --md-red-700: #d32f2f;\n  --md-red-800: #c62828;\n  --md-red-900: #b71c1c;\n  --md-red-A100: #ff8a80;\n  --md-red-A200: #ff5252;\n  --md-red-A400: #ff1744;\n  --md-red-A700: #d50000;\n\n  --md-pink-50: #fce4ec;\n  --md-pink-100: #f8bbd0;\n  --md-pink-200: #f48fb1;\n  --md-pink-300: #f06292;\n  --md-pink-400: #ec407a;\n  --md-pink-500: #e91e63;\n  --md-pink-600: #d81b60;\n  --md-pink-700: #c2185b;\n  --md-pink-800: #ad1457;\n  --md-pink-900: #880e4f;\n  --md-pink-A100: #ff80ab;\n  --md-pink-A200: #ff4081;\n  --md-pink-A400: #f50057;\n  --md-pink-A700: #c51162;\n\n  --md-purple-50: #f3e5f5;\n  --md-purple-100: #e1bee7;\n  --md-purple-200: #ce93d8;\n  --md-purple-300: #ba68c8;\n  --md-purple-400: #ab47bc;\n  --md-purple-500: #9c27b0;\n  --md-purple-600: #8e24aa;\n  --md-purple-700: #7b1fa2;\n  --md-purple-800: #6a1b9a;\n  --md-purple-900: #4a148c;\n  --md-purple-A100: #ea80fc;\n  --md-purple-A200: #e040fb;\n  --md-purple-A400: #d500f9;\n  --md-purple-A700: #aa00ff;\n\n  --md-deep-purple-50: #ede7f6;\n  --md-deep-purple-100: #d1c4e9;\n  --md-deep-purple-200: #b39ddb;\n  --md-deep-purple-300: #9575cd;\n  --md-deep-purple-400: #7e57c2;\n  --md-deep-purple-500: #673ab7;\n  --md-deep-purple-600: #5e35b1;\n  --md-deep-purple-700: #512da8;\n  --md-deep-purple-800: #4527a0;\n  --md-deep-purple-900: #311b92;\n  --md-deep-purple-A100: #b388ff;\n  --md-deep-purple-A200: #7c4dff;\n  --md-deep-purple-A400: #651fff;\n  --md-deep-purple-A700: #6200ea;\n\n  --md-indigo-50: #e8eaf6;\n  --md-indigo-100: #c5cae9;\n  --md-indigo-200: #9fa8da;\n  --md-indigo-300: #7986cb;\n  --md-indigo-400: #5c6bc0;\n  --md-indigo-500: #3f51b5;\n  --md-indigo-600: #3949ab;\n  --md-indigo-700: #303f9f;\n  --md-indigo-800: #283593;\n  --md-indigo-900: #1a237e;\n  --md-indigo-A100: #8c9eff;\n  --md-indigo-A200: #536dfe;\n  --md-indigo-A400: #3d5afe;\n  --md-indigo-A700: #304ffe;\n\n  --md-blue-50: #e3f2fd;\n  --md-blue-100: #bbdefb;\n  --md-blue-200: #90caf9;\n  --md-blue-300: #64b5f6;\n  --md-blue-400: #42a5f5;\n  --md-blue-500: #2196f3;\n  --md-blue-600: #1e88e5;\n  --md-blue-700: #1976d2;\n  --md-blue-800: #1565c0;\n  --md-blue-900: #0d47a1;\n  --md-blue-A100: #82b1ff;\n  --md-blue-A200: #448aff;\n  --md-blue-A400: #2979ff;\n  --md-blue-A700: #2962ff;\n\n  --md-light-blue-50: #e1f5fe;\n  --md-light-blue-100: #b3e5fc;\n  --md-light-blue-200: #81d4fa;\n  --md-light-blue-300: #4fc3f7;\n  --md-light-blue-400: #29b6f6;\n  --md-light-blue-500: #03a9f4;\n  --md-light-blue-600: #039be5;\n  --md-light-blue-700: #0288d1;\n  --md-light-blue-800: #0277bd;\n  --md-light-blue-900: #01579b;\n  --md-light-blue-A100: #80d8ff;\n  --md-light-blue-A200: #40c4ff;\n  --md-light-blue-A400: #00b0ff;\n  --md-light-blue-A700: #0091ea;\n\n  --md-cyan-50: #e0f7fa;\n  --md-cyan-100: #b2ebf2;\n  --md-cyan-200: #80deea;\n  --md-cyan-300: #4dd0e1;\n  --md-cyan-400: #26c6da;\n  --md-cyan-500: #00bcd4;\n  --md-cyan-600: #00acc1;\n  --md-cyan-700: #0097a7;\n  --md-cyan-800: #00838f;\n  --md-cyan-900: #006064;\n  --md-cyan-A100: #84ffff;\n  --md-cyan-A200: #18ffff;\n  --md-cyan-A400: #00e5ff;\n  --md-cyan-A700: #00b8d4;\n\n  --md-teal-50: #e0f2f1;\n  --md-teal-100: #b2dfdb;\n  --md-teal-200: #80cbc4;\n  --md-teal-300: #4db6ac;\n  --md-teal-400: #26a69a;\n  --md-teal-500: #009688;\n  --md-teal-600: #00897b;\n  --md-teal-700: #00796b;\n  --md-teal-800: #00695c;\n  --md-teal-900: #004d40;\n  --md-teal-A100: #a7ffeb;\n  --md-teal-A200: #64ffda;\n  --md-teal-A400: #1de9b6;\n  --md-teal-A700: #00bfa5;\n\n  --md-green-50: #e8f5e9;\n  --md-green-100: #c8e6c9;\n  --md-green-200: #a5d6a7;\n  --md-green-300: #81c784;\n  --md-green-400: #66bb6a;\n  --md-green-500: #4caf50;\n  --md-green-600: #43a047;\n  --md-green-700: #388e3c;\n  --md-green-800: #2e7d32;\n  --md-green-900: #1b5e20;\n  --md-green-A100: #b9f6ca;\n  --md-green-A200: #69f0ae;\n  --md-green-A400: #00e676;\n  --md-green-A700: #00c853;\n\n  --md-light-green-50: #f1f8e9;\n  --md-light-green-100: #dcedc8;\n  --md-light-green-200: #c5e1a5;\n  --md-light-green-300: #aed581;\n  --md-light-green-400: #9ccc65;\n  --md-light-green-500: #8bc34a;\n  --md-light-green-600: #7cb342;\n  --md-light-green-700: #689f38;\n  --md-light-green-800: #558b2f;\n  --md-light-green-900: #33691e;\n  --md-light-green-A100: #ccff90;\n  --md-light-green-A200: #b2ff59;\n  --md-light-green-A400: #76ff03;\n  --md-light-green-A700: #64dd17;\n\n  --md-lime-50: #f9fbe7;\n  --md-lime-100: #f0f4c3;\n  --md-lime-200: #e6ee9c;\n  --md-lime-300: #dce775;\n  --md-lime-400: #d4e157;\n  --md-lime-500: #cddc39;\n  --md-lime-600: #c0ca33;\n  --md-lime-700: #afb42b;\n  --md-lime-800: #9e9d24;\n  --md-lime-900: #827717;\n  --md-lime-A100: #f4ff81;\n  --md-lime-A200: #eeff41;\n  --md-lime-A400: #c6ff00;\n  --md-lime-A700: #aeea00;\n\n  --md-yellow-50: #fffde7;\n  --md-yellow-100: #fff9c4;\n  --md-yellow-200: #fff59d;\n  --md-yellow-300: #fff176;\n  --md-yellow-400: #ffee58;\n  --md-yellow-500: #ffeb3b;\n  --md-yellow-600: #fdd835;\n  --md-yellow-700: #fbc02d;\n  --md-yellow-800: #f9a825;\n  --md-yellow-900: #f57f17;\n  --md-yellow-A100: #ffff8d;\n  --md-yellow-A200: #ffff00;\n  --md-yellow-A400: #ffea00;\n  --md-yellow-A700: #ffd600;\n\n  --md-amber-50: #fff8e1;\n  --md-amber-100: #ffecb3;\n  --md-amber-200: #ffe082;\n  --md-amber-300: #ffd54f;\n  --md-amber-400: #ffca28;\n  --md-amber-500: #ffc107;\n  --md-amber-600: #ffb300;\n  --md-amber-700: #ffa000;\n  --md-amber-800: #ff8f00;\n  --md-amber-900: #ff6f00;\n  --md-amber-A100: #ffe57f;\n  --md-amber-A200: #ffd740;\n  --md-amber-A400: #ffc400;\n  --md-amber-A700: #ffab00;\n\n  --md-orange-50: #fff3e0;\n  --md-orange-100: #ffe0b2;\n  --md-orange-200: #ffcc80;\n  --md-orange-300: #ffb74d;\n  --md-orange-400: #ffa726;\n  --md-orange-500: #ff9800;\n  --md-orange-600: #fb8c00;\n  --md-orange-700: #f57c00;\n  --md-orange-800: #ef6c00;\n  --md-orange-900: #e65100;\n  --md-orange-A100: #ffd180;\n  --md-orange-A200: #ffab40;\n  --md-orange-A400: #ff9100;\n  --md-orange-A700: #ff6d00;\n\n  --md-deep-orange-50: #fbe9e7;\n  --md-deep-orange-100: #ffccbc;\n  --md-deep-orange-200: #ffab91;\n  --md-deep-orange-300: #ff8a65;\n  --md-deep-orange-400: #ff7043;\n  --md-deep-orange-500: #ff5722;\n  --md-deep-orange-600: #f4511e;\n  --md-deep-orange-700: #e64a19;\n  --md-deep-orange-800: #d84315;\n  --md-deep-orange-900: #bf360c;\n  --md-deep-orange-A100: #ff9e80;\n  --md-deep-orange-A200: #ff6e40;\n  --md-deep-orange-A400: #ff3d00;\n  --md-deep-orange-A700: #dd2c00;\n\n  --md-brown-50: #efebe9;\n  --md-brown-100: #d7ccc8;\n  --md-brown-200: #bcaaa4;\n  --md-brown-300: #a1887f;\n  --md-brown-400: #8d6e63;\n  --md-brown-500: #795548;\n  --md-brown-600: #6d4c41;\n  --md-brown-700: #5d4037;\n  --md-brown-800: #4e342e;\n  --md-brown-900: #3e2723;\n\n  --md-grey-50: #fafafa;\n  --md-grey-100: #f5f5f5;\n  --md-grey-200: #eeeeee;\n  --md-grey-300: #e0e0e0;\n  --md-grey-400: #bdbdbd;\n  --md-grey-500: #9e9e9e;\n  --md-grey-600: #757575;\n  --md-grey-700: #616161;\n  --md-grey-800: #424242;\n  --md-grey-900: #212121;\n\n  --md-blue-grey-50: #eceff1;\n  --md-blue-grey-100: #cfd8dc;\n  --md-blue-grey-200: #b0bec5;\n  --md-blue-grey-300: #90a4ae;\n  --md-blue-grey-400: #78909c;\n  --md-blue-grey-500: #607d8b;\n  --md-blue-grey-600: #546e7a;\n  --md-blue-grey-700: #455a64;\n  --md-blue-grey-800: #37474f;\n  --md-blue-grey-900: #263238;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) 2017, Jupyter Development Team.\n|\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-Spinner {\n  position: absolute;\n  display: flex;\n  justify-content: center;\n  align-items: center;\n  z-index: 10;\n  left: 0;\n  top: 0;\n  width: 100%;\n  height: 100%;\n  background: var(--jp-layout-color0);\n  outline: none;\n}\n\n.jp-SpinnerContent {\n  font-size: 10px;\n  margin: 50px auto;\n  text-indent: -9999em;\n  width: 3em;\n  height: 3em;\n  border-radius: 50%;\n  background: var(--jp-brand-color3);\n  background: linear-gradient(\n    to right,\n    #f37626 10%,\n    rgba(255, 255, 255, 0) 42%\n  );\n  position: relative;\n  animation: load3 1s infinite linear, fadeIn 1s;\n}\n\n.jp-SpinnerContent:before {\n  width: 50%;\n  height: 50%;\n  background: #f37626;\n  border-radius: 100% 0 0 0;\n  position: absolute;\n  top: 0;\n  left: 0;\n  content: '';\n}\n\n.jp-SpinnerContent:after {\n  background: var(--jp-layout-color0);\n  width: 75%;\n  height: 75%;\n  border-radius: 50%;\n  content: '';\n  margin: auto;\n  position: absolute;\n  top: 0;\n  left: 0;\n  bottom: 0;\n  right: 0;\n}\n\n@keyframes fadeIn {\n  0% {\n    opacity: 0;\n  }\n  100% {\n    opacity: 1;\n  }\n}\n\n@keyframes load3 {\n  0% {\n    transform: rotate(0deg);\n  }\n  100% {\n    transform: rotate(360deg);\n  }\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) 2014-2017, Jupyter Development Team.\n|\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\nbutton.jp-mod-styled {\n  font-size: var(--jp-ui-font-size1);\n  color: var(--jp-ui-font-color0);\n  border: none;\n  box-sizing: border-box;\n  text-align: center;\n  line-height: 32px;\n  height: 32px;\n  padding: 0px 12px;\n  letter-spacing: 0.8px;\n  outline: none;\n  appearance: none;\n  -webkit-appearance: none;\n  -moz-appearance: none;\n}\n\ninput.jp-mod-styled {\n  background: var(--jp-input-background);\n  height: 28px;\n  box-sizing: border-box;\n  border: var(--jp-border-width) solid var(--jp-border-color1);\n  padding-left: 7px;\n  padding-right: 7px;\n  font-size: var(--jp-ui-font-size2);\n  color: var(--jp-ui-font-color0);\n  outline: none;\n  appearance: none;\n  -webkit-appearance: none;\n  -moz-appearance: none;\n}\n\ninput[type='checkbox'].jp-mod-styled {\n  appearance: checkbox;\n  -webkit-appearance: checkbox;\n  -moz-appearance: checkbox;\n  height: auto;\n}\n\ninput.jp-mod-styled:focus {\n  border: var(--jp-border-width) solid var(--md-blue-500);\n  box-shadow: inset 0 0 4px var(--md-blue-300);\n}\n\n.jp-FileDialog-Checkbox {\n  margin-top: 35px;\n  display: flex;\n  flex-direction: row;\n  align-items: end;\n  width: 100%;\n}\n\n.jp-FileDialog-Checkbox > label {\n  flex: 1 1 auto;\n}\n\n.jp-select-wrapper {\n  display: flex;\n  position: relative;\n  flex-direction: column;\n  padding: 1px;\n  background-color: var(--jp-layout-color1);\n  height: 28px;\n  box-sizing: border-box;\n  margin-bottom: 12px;\n}\n\n.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {\n  border: var(--jp-border-width) solid var(--jp-input-active-border-color);\n  box-shadow: var(--jp-input-box-shadow);\n  background-color: var(--jp-input-active-background);\n}\n\nselect.jp-mod-styled:hover {\n  background-color: var(--jp-layout-color1);\n  cursor: pointer;\n  color: var(--jp-ui-font-color0);\n  background-color: var(--jp-input-hover-background);\n  box-shadow: inset 0 0px 1px rgba(0, 0, 0, 0.5);\n}\n\nselect.jp-mod-styled {\n  flex: 1 1 auto;\n  height: 32px;\n  width: 100%;\n  font-size: var(--jp-ui-font-size2);\n  background: var(--jp-input-background);\n  color: var(--jp-ui-font-color0);\n  padding: 0 25px 0 8px;\n  border: var(--jp-border-width) solid var(--jp-input-border-color);\n  border-radius: 0px;\n  outline: none;\n  appearance: none;\n  -webkit-appearance: none;\n  -moz-appearance: none;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) 2014-2016, Jupyter Development Team.\n|\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n:root {\n  --jp-private-toolbar-height: calc(\n    28px + var(--jp-border-width)\n  ); /* leave 28px for content */\n}\n\n.jp-Toolbar {\n  color: var(--jp-ui-font-color1);\n  flex: 0 0 auto;\n  display: flex;\n  flex-direction: row;\n  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);\n  box-shadow: var(--jp-toolbar-box-shadow);\n  background: var(--jp-toolbar-background);\n  min-height: var(--jp-toolbar-micro-height);\n  padding: 2px;\n  z-index: 1;\n  overflow-x: auto;\n}\n\n/* Toolbar items */\n\n.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {\n  flex-grow: 1;\n  flex-shrink: 1;\n}\n\n.jp-Toolbar-item.jp-Toolbar-kernelStatus {\n  display: inline-block;\n  width: 32px;\n  background-repeat: no-repeat;\n  background-position: center;\n  background-size: 16px;\n}\n\n.jp-Toolbar > .jp-Toolbar-item {\n  flex: 0 0 auto;\n  display: flex;\n  padding-left: 1px;\n  padding-right: 1px;\n  font-size: var(--jp-ui-font-size1);\n  line-height: var(--jp-private-toolbar-height);\n  height: 100%;\n}\n\n/* Toolbar buttons */\n\n/* This is the div we use to wrap the react component into a Widget */\ndiv.jp-ToolbarButton {\n  color: transparent;\n  border: none;\n  box-sizing: border-box;\n  outline: none;\n  appearance: none;\n  -webkit-appearance: none;\n  -moz-appearance: none;\n  padding: 0px;\n  margin: 0px;\n}\n\nbutton.jp-ToolbarButtonComponent {\n  background: var(--jp-layout-color1);\n  border: none;\n  box-sizing: border-box;\n  outline: none;\n  appearance: none;\n  -webkit-appearance: none;\n  -moz-appearance: none;\n  padding: 0px 6px;\n  margin: 0px;\n  height: 24px;\n  border-radius: var(--jp-border-radius);\n  display: flex;\n  align-items: center;\n  text-align: center;\n  font-size: 14px;\n  min-width: unset;\n  min-height: unset;\n}\n\nbutton.jp-ToolbarButtonComponent:disabled {\n  opacity: 0.4;\n}\n\nbutton.jp-ToolbarButtonComponent span {\n  padding: 0px;\n  flex: 0 0 auto;\n}\n\nbutton.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {\n  font-size: var(--jp-ui-font-size1);\n  line-height: 100%;\n  padding-left: 2px;\n  color: var(--jp-ui-font-color1);\n}\n\n#jp-main-dock-panel[data-mode='single-document']\n  .jp-MainAreaWidget\n  > .jp-Toolbar.jp-Toolbar-micro {\n  padding: 0;\n  min-height: 0;\n}\n\n#jp-main-dock-panel[data-mode='single-document']\n  .jp-MainAreaWidget\n  > .jp-Toolbar {\n  border: none;\n  box-shadow: none;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) 2014-2017, Jupyter Development Team.\n|\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Copyright (c) 2014-2017, PhosphorJS Contributors\n|\n| Distributed under the terms of the BSD 3-Clause License.\n|\n| The full license is in the file LICENSE, distributed with this software.\n|----------------------------------------------------------------------------*/\n\n\n/* <DEPRECATED> */ body.p-mod-override-cursor *, /* </DEPRECATED> */\nbody.lm-mod-override-cursor * {\n  cursor: inherit !important;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) 2014-2016, Jupyter Development Team.\n|\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-JSONEditor {\n  display: flex;\n  flex-direction: column;\n  width: 100%;\n}\n\n.jp-JSONEditor-host {\n  flex: 1 1 auto;\n  border: var(--jp-border-width) solid var(--jp-input-border-color);\n  border-radius: 0px;\n  background: var(--jp-layout-color0);\n  min-height: 50px;\n  padding: 1px;\n}\n\n.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {\n  border-color: red;\n  outline-color: red;\n}\n\n.jp-JSONEditor-header {\n  display: flex;\n  flex: 1 0 auto;\n  padding: 0 0 0 12px;\n}\n\n.jp-JSONEditor-header label {\n  flex: 0 0 auto;\n}\n\n.jp-JSONEditor-commitButton {\n  height: 16px;\n  width: 16px;\n  background-size: 18px;\n  background-repeat: no-repeat;\n  background-position: center;\n}\n\n.jp-JSONEditor-host.jp-mod-focused {\n  background-color: var(--jp-input-active-background);\n  border: 1px solid var(--jp-input-active-border-color);\n  box-shadow: var(--jp-input-box-shadow);\n}\n\n.jp-Editor.jp-mod-dropTarget {\n  border: var(--jp-border-width) solid var(--jp-input-active-border-color);\n  box-shadow: var(--jp-input-box-shadow);\n}\n\n/* BASICS */\n\n.CodeMirror {\n  /* Set height, width, borders, and global font properties here */\n  font-family: monospace;\n  height: 300px;\n  color: black;\n  direction: ltr;\n}\n\n/* PADDING */\n\n.CodeMirror-lines {\n  padding: 4px 0; /* Vertical padding around content */\n}\n.CodeMirror pre.CodeMirror-line,\n.CodeMirror pre.CodeMirror-line-like {\n  padding: 0 4px; /* Horizontal padding of content */\n}\n\n.CodeMirror-scrollbar-filler, .CodeMirror-gutter-filler {\n  background-color: white; /* The little square between H and V scrollbars */\n}\n\n/* GUTTER */\n\n.CodeMirror-gutters {\n  border-right: 1px solid #ddd;\n  background-color: #f7f7f7;\n  white-space: nowrap;\n}\n.CodeMirror-linenumbers {}\n.CodeMirror-linenumber {\n  padding: 0 3px 0 5px;\n  min-width: 20px;\n  text-align: right;\n  color: #999;\n  white-space: nowrap;\n}\n\n.CodeMirror-guttermarker { color: black; }\n.CodeMirror-guttermarker-subtle { color: #999; }\n\n/* CURSOR */\n\n.CodeMirror-cursor {\n  border-left: 1px solid black;\n  border-right: none;\n  width: 0;\n}\n/* Shown when moving in bi-directional text */\n.CodeMirror div.CodeMirror-secondarycursor {\n  border-left: 1px solid silver;\n}\n.cm-fat-cursor .CodeMirror-cursor {\n  width: auto;\n  border: 0 !important;\n  background: #7e7;\n}\n.cm-fat-cursor div.CodeMirror-cursors {\n  z-index: 1;\n}\n.cm-fat-cursor-mark {\n  background-color: rgba(20, 255, 20, 0.5);\n  -webkit-animation: blink 1.06s steps(1) infinite;\n  -moz-animation: blink 1.06s steps(1) infinite;\n  animation: blink 1.06s steps(1) infinite;\n}\n.cm-animate-fat-cursor {\n  width: auto;\n  border: 0;\n  -webkit-animation: blink 1.06s steps(1) infinite;\n  -moz-animation: blink 1.06s steps(1) infinite;\n  animation: blink 1.06s steps(1) infinite;\n  background-color: #7e7;\n}\n@-moz-keyframes blink {\n  0% {}\n  50% { background-color: transparent; }\n  100% {}\n}\n@-webkit-keyframes blink {\n  0% {}\n  50% { background-color: transparent; }\n  100% {}\n}\n@keyframes blink {\n  0% {}\n  50% { background-color: transparent; }\n  100% {}\n}\n\n/* Can style cursor different in overwrite (non-insert) mode */\n.CodeMirror-overwrite .CodeMirror-cursor {}\n\n.cm-tab { display: inline-block; text-decoration: inherit; }\n\n.CodeMirror-rulers {\n  position: absolute;\n  left: 0; right: 0; top: -50px; bottom: 0;\n  overflow: hidden;\n}\n.CodeMirror-ruler {\n  border-left: 1px solid #ccc;\n  top: 0; bottom: 0;\n  position: absolute;\n}\n\n/* DEFAULT THEME */\n\n.cm-s-default .cm-header {color: blue;}\n.cm-s-default .cm-quote {color: #090;}\n.cm-negative {color: #d44;}\n.cm-positive {color: #292;}\n.cm-header, .cm-strong {font-weight: bold;}\n.cm-em {font-style: italic;}\n.cm-link {text-decoration: underline;}\n.cm-strikethrough {text-decoration: line-through;}\n\n.cm-s-default .cm-keyword {color: #708;}\n.cm-s-default .cm-atom {color: #219;}\n.cm-s-default .cm-number {color: #164;}\n.cm-s-default .cm-def {color: #00f;}\n.cm-s-default .cm-variable,\n.cm-s-default .cm-punctuation,\n.cm-s-default .cm-property,\n.cm-s-default .cm-operator {}\n.cm-s-default .cm-variable-2 {color: #05a;}\n.cm-s-default .cm-variable-3, .cm-s-default .cm-type {color: #085;}\n.cm-s-default .cm-comment {color: #a50;}\n.cm-s-default .cm-string {color: #a11;}\n.cm-s-default .cm-string-2 {color: #f50;}\n.cm-s-default .cm-meta {color: #555;}\n.cm-s-default .cm-qualifier {color: #555;}\n.cm-s-default .cm-builtin {color: #30a;}\n.cm-s-default .cm-bracket {color: #997;}\n.cm-s-default .cm-tag {color: #170;}\n.cm-s-default .cm-attribute {color: #00c;}\n.cm-s-default .cm-hr {color: #999;}\n.cm-s-default .cm-link {color: #00c;}\n\n.cm-s-default .cm-error {color: #f00;}\n.cm-invalidchar {color: #f00;}\n\n.CodeMirror-composing { border-bottom: 2px solid; }\n\n/* Default styles for common addons */\n\ndiv.CodeMirror span.CodeMirror-matchingbracket {color: #0b0;}\ndiv.CodeMirror span.CodeMirror-nonmatchingbracket {color: #a22;}\n.CodeMirror-matchingtag { background: rgba(255, 150, 0, .3); }\n.CodeMirror-activeline-background {background: #e8f2ff;}\n\n/* STOP */\n\n/* The rest of this file contains styles related to the mechanics of\n   the editor. You probably shouldn't touch them. */\n\n.CodeMirror {\n  position: relative;\n  overflow: hidden;\n  background: white;\n}\n\n.CodeMirror-scroll {\n  overflow: scroll !important; /* Things will break if this is overridden */\n  /* 50px is the magic margin used to hide the element's real scrollbars */\n  /* See overflow: hidden in .CodeMirror */\n  margin-bottom: -50px; margin-right: -50px;\n  padding-bottom: 50px;\n  height: 100%;\n  outline: none; /* Prevent dragging from highlighting the element */\n  position: relative;\n}\n.CodeMirror-sizer {\n  position: relative;\n  border-right: 50px solid transparent;\n}\n\n/* The fake, visible scrollbars. Used to force redraw during scrolling\n   before actual scrolling happens, thus preventing shaking and\n   flickering artifacts. */\n.CodeMirror-vscrollbar, .CodeMirror-hscrollbar, .CodeMirror-scrollbar-filler, .CodeMirror-gutter-filler {\n  position: absolute;\n  z-index: 6;\n  display: none;\n  outline: none;\n}\n.CodeMirror-vscrollbar {\n  right: 0; top: 0;\n  overflow-x: hidden;\n  overflow-y: scroll;\n}\n.CodeMirror-hscrollbar {\n  bottom: 0; left: 0;\n  overflow-y: hidden;\n  overflow-x: scroll;\n}\n.CodeMirror-scrollbar-filler {\n  right: 0; bottom: 0;\n}\n.CodeMirror-gutter-filler {\n  left: 0; bottom: 0;\n}\n\n.CodeMirror-gutters {\n  position: absolute; left: 0; top: 0;\n  min-height: 100%;\n  z-index: 3;\n}\n.CodeMirror-gutter {\n  white-space: normal;\n  height: 100%;\n  display: inline-block;\n  vertical-align: top;\n  margin-bottom: -50px;\n}\n.CodeMirror-gutter-wrapper {\n  position: absolute;\n  z-index: 4;\n  background: none !important;\n  border: none !important;\n}\n.CodeMirror-gutter-background {\n  position: absolute;\n  top: 0; bottom: 0;\n  z-index: 4;\n}\n.CodeMirror-gutter-elt {\n  position: absolute;\n  cursor: default;\n  z-index: 4;\n}\n.CodeMirror-gutter-wrapper ::selection { background-color: transparent }\n.CodeMirror-gutter-wrapper ::-moz-selection { background-color: transparent }\n\n.CodeMirror-lines {\n  cursor: text;\n  min-height: 1px; /* prevents collapsing before first draw */\n}\n.CodeMirror pre.CodeMirror-line,\n.CodeMirror pre.CodeMirror-line-like {\n  /* Reset some styles that the rest of the page might have set */\n  -moz-border-radius: 0; -webkit-border-radius: 0; border-radius: 0;\n  border-width: 0;\n  background: transparent;\n  font-family: inherit;\n  font-size: inherit;\n  margin: 0;\n  white-space: pre;\n  word-wrap: normal;\n  line-height: inherit;\n  color: inherit;\n  z-index: 2;\n  position: relative;\n  overflow: visible;\n  -webkit-tap-highlight-color: transparent;\n  -webkit-font-variant-ligatures: contextual;\n  font-variant-ligatures: contextual;\n}\n.CodeMirror-wrap pre.CodeMirror-line,\n.CodeMirror-wrap pre.CodeMirror-line-like {\n  word-wrap: break-word;\n  white-space: pre-wrap;\n  word-break: normal;\n}\n\n.CodeMirror-linebackground {\n  position: absolute;\n  left: 0; right: 0; top: 0; bottom: 0;\n  z-index: 0;\n}\n\n.CodeMirror-linewidget {\n  position: relative;\n  z-index: 2;\n  padding: 0.1px; /* Force widget margins to stay inside of the container */\n}\n\n.CodeMirror-widget {}\n\n.CodeMirror-rtl pre { direction: rtl; }\n\n.CodeMirror-code {\n  outline: none;\n}\n\n/* Force content-box sizing for the elements where we expect it */\n.CodeMirror-scroll,\n.CodeMirror-sizer,\n.CodeMirror-gutter,\n.CodeMirror-gutters,\n.CodeMirror-linenumber {\n  -moz-box-sizing: content-box;\n  box-sizing: content-box;\n}\n\n.CodeMirror-measure {\n  position: absolute;\n  width: 100%;\n  height: 0;\n  overflow: hidden;\n  visibility: hidden;\n}\n\n.CodeMirror-cursor {\n  position: absolute;\n  pointer-events: none;\n}\n.CodeMirror-measure pre { position: static; }\n\ndiv.CodeMirror-cursors {\n  visibility: hidden;\n  position: relative;\n  z-index: 3;\n}\ndiv.CodeMirror-dragcursors {\n  visibility: visible;\n}\n\n.CodeMirror-focused div.CodeMirror-cursors {\n  visibility: visible;\n}\n\n.CodeMirror-selected { background: #d9d9d9; }\n.CodeMirror-focused .CodeMirror-selected { background: #d7d4f0; }\n.CodeMirror-crosshair { cursor: crosshair; }\n.CodeMirror-line::selection, .CodeMirror-line > span::selection, .CodeMirror-line > span > span::selection { background: #d7d4f0; }\n.CodeMirror-line::-moz-selection, .CodeMirror-line > span::-moz-selection, .CodeMirror-line > span > span::-moz-selection { background: #d7d4f0; }\n\n.cm-searching {\n  background-color: #ffa;\n  background-color: rgba(255, 255, 0, .4);\n}\n\n/* Used to force a border model for a node */\n.cm-force-border { padding-right: .1px; }\n\n@media print {\n  /* Hide the cursor when printing */\n  .CodeMirror div.CodeMirror-cursors {\n    visibility: hidden;\n  }\n}\n\n/* See issue #2901 */\n.cm-tab-wrap-hack:after { content: ''; }\n\n/* Help users use markselection to safely style text background */\nspan.CodeMirror-selectedtext { background: none; }\n\n.CodeMirror-dialog {\n  position: absolute;\n  left: 0; right: 0;\n  background: inherit;\n  z-index: 15;\n  padding: .1em .8em;\n  overflow: hidden;\n  color: inherit;\n}\n\n.CodeMirror-dialog-top {\n  border-bottom: 1px solid #eee;\n  top: 0;\n}\n\n.CodeMirror-dialog-bottom {\n  border-top: 1px solid #eee;\n  bottom: 0;\n}\n\n.CodeMirror-dialog input {\n  border: none;\n  outline: none;\n  background: transparent;\n  width: 20em;\n  color: inherit;\n  font-family: monospace;\n}\n\n.CodeMirror-dialog button {\n  font-size: 70%;\n}\n\n.CodeMirror-foldmarker {\n  color: blue;\n  text-shadow: #b9f 1px 1px 2px, #b9f -1px -1px 2px, #b9f 1px -1px 2px, #b9f -1px 1px 2px;\n  font-family: arial;\n  line-height: .3;\n  cursor: pointer;\n}\n.CodeMirror-foldgutter {\n  width: .7em;\n}\n.CodeMirror-foldgutter-open,\n.CodeMirror-foldgutter-folded {\n  cursor: pointer;\n}\n.CodeMirror-foldgutter-open:after {\n  content: \"\\25BE\";\n}\n.CodeMirror-foldgutter-folded:after {\n  content: \"\\25B8\";\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.CodeMirror {\n  line-height: var(--jp-code-line-height);\n  font-size: var(--jp-code-font-size);\n  font-family: var(--jp-code-font-family);\n  border: 0;\n  border-radius: 0;\n  height: auto;\n  /* Changed to auto to autogrow */\n}\n\n.CodeMirror pre {\n  padding: 0 var(--jp-code-padding);\n}\n\n.jp-CodeMirrorEditor[data-type='inline'] .CodeMirror-dialog {\n  background-color: var(--jp-layout-color0);\n  color: var(--jp-content-font-color1);\n}\n\n/* This causes https://github.com/jupyter/jupyterlab/issues/522 */\n/* May not cause it not because we changed it! */\n.CodeMirror-lines {\n  padding: var(--jp-code-padding) 0;\n}\n\n.CodeMirror-linenumber {\n  padding: 0 8px;\n}\n\n.jp-CodeMirrorEditor {\n  cursor: text;\n}\n\n.jp-CodeMirrorEditor[data-type='inline'] .CodeMirror-cursor {\n  border-left: var(--jp-code-cursor-width0) solid var(--jp-editor-cursor-color);\n}\n\n/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */\n@media screen and (min-width: 2138px) and (max-width: 4319px) {\n  .jp-CodeMirrorEditor[data-type='inline'] .CodeMirror-cursor {\n    border-left: var(--jp-code-cursor-width1) solid\n      var(--jp-editor-cursor-color);\n  }\n}\n\n/* When zoomed out less than 33% */\n@media screen and (min-width: 4320px) {\n  .jp-CodeMirrorEditor[data-type='inline'] .CodeMirror-cursor {\n    border-left: var(--jp-code-cursor-width2) solid\n      var(--jp-editor-cursor-color);\n  }\n}\n\n.CodeMirror.jp-mod-readOnly .CodeMirror-cursor {\n  display: none;\n}\n\n.CodeMirror-gutters {\n  border-right: 1px solid var(--jp-border-color2);\n  background-color: var(--jp-layout-color0);\n}\n\n.jp-CollaboratorCursor {\n  border-left: 5px solid transparent;\n  border-right: 5px solid transparent;\n  border-top: none;\n  border-bottom: 3px solid;\n  background-clip: content-box;\n  margin-left: -5px;\n  margin-right: -5px;\n}\n\n.CodeMirror-selectedtext.cm-searching {\n  background-color: var(--jp-search-selected-match-background-color) !important;\n  color: var(--jp-search-selected-match-color) !important;\n}\n\n.cm-searching {\n  background-color: var(\n    --jp-search-unselected-match-background-color\n  ) !important;\n  color: var(--jp-search-unselected-match-color) !important;\n}\n\n.CodeMirror-focused .CodeMirror-selected {\n  background-color: var(--jp-editor-selected-focused-background);\n}\n\n.CodeMirror-selected {\n  background-color: var(--jp-editor-selected-background);\n}\n\n.jp-CollaboratorCursor-hover {\n  position: absolute;\n  z-index: 1;\n  transform: translateX(-50%);\n  color: white;\n  border-radius: 3px;\n  padding-left: 4px;\n  padding-right: 4px;\n  padding-top: 1px;\n  padding-bottom: 1px;\n  text-align: center;\n  font-size: var(--jp-ui-font-size1);\n  white-space: nowrap;\n}\n\n.jp-CodeMirror-ruler {\n  border-left: 1px dashed var(--jp-border-color2);\n}\n\n/**\n * Here is our jupyter theme for CodeMirror syntax highlighting\n * This is used in our marked.js syntax highlighting and CodeMirror itself\n * The string \"jupyter\" is set in ../codemirror/widget.DEFAULT_CODEMIRROR_THEME\n * This came from the classic notebook, which came form highlight.js/GitHub\n */\n\n/**\n * CodeMirror themes are handling the background/color in this way. This works\n * fine for CodeMirror editors outside the notebook, but the notebook styles\n * these things differently.\n */\n.CodeMirror.cm-s-jupyter {\n  background: var(--jp-layout-color0);\n  color: var(--jp-content-font-color1);\n}\n\n/* In the notebook, we want this styling to be handled by its container */\n.jp-CodeConsole .CodeMirror.cm-s-jupyter,\n.jp-Notebook .CodeMirror.cm-s-jupyter {\n  background: transparent;\n}\n\n.cm-s-jupyter .CodeMirror-cursor {\n  border-left: var(--jp-code-cursor-width0) solid var(--jp-editor-cursor-color);\n}\n.cm-s-jupyter span.cm-keyword {\n  color: var(--jp-mirror-editor-keyword-color);\n  font-weight: bold;\n}\n.cm-s-jupyter span.cm-atom {\n  color: var(--jp-mirror-editor-atom-color);\n}\n.cm-s-jupyter span.cm-number {\n  color: var(--jp-mirror-editor-number-color);\n}\n.cm-s-jupyter span.cm-def {\n  color: var(--jp-mirror-editor-def-color);\n}\n.cm-s-jupyter span.cm-variable {\n  color: var(--jp-mirror-editor-variable-color);\n}\n.cm-s-jupyter span.cm-variable-2 {\n  color: var(--jp-mirror-editor-variable-2-color);\n}\n.cm-s-jupyter span.cm-variable-3 {\n  color: var(--jp-mirror-editor-variable-3-color);\n}\n.cm-s-jupyter span.cm-punctuation {\n  color: var(--jp-mirror-editor-punctuation-color);\n}\n.cm-s-jupyter span.cm-property {\n  color: var(--jp-mirror-editor-property-color);\n}\n.cm-s-jupyter span.cm-operator {\n  color: var(--jp-mirror-editor-operator-color);\n  font-weight: bold;\n}\n.cm-s-jupyter span.cm-comment {\n  color: var(--jp-mirror-editor-comment-color);\n  font-style: italic;\n}\n.cm-s-jupyter span.cm-string {\n  color: var(--jp-mirror-editor-string-color);\n}\n.cm-s-jupyter span.cm-string-2 {\n  color: var(--jp-mirror-editor-string-2-color);\n}\n.cm-s-jupyter span.cm-meta {\n  color: var(--jp-mirror-editor-meta-color);\n}\n.cm-s-jupyter span.cm-qualifier {\n  color: var(--jp-mirror-editor-qualifier-color);\n}\n.cm-s-jupyter span.cm-builtin {\n  color: var(--jp-mirror-editor-builtin-color);\n}\n.cm-s-jupyter span.cm-bracket {\n  color: var(--jp-mirror-editor-bracket-color);\n}\n.cm-s-jupyter span.cm-tag {\n  color: var(--jp-mirror-editor-tag-color);\n}\n.cm-s-jupyter span.cm-attribute {\n  color: var(--jp-mirror-editor-attribute-color);\n}\n.cm-s-jupyter span.cm-header {\n  color: var(--jp-mirror-editor-header-color);\n}\n.cm-s-jupyter span.cm-quote {\n  color: var(--jp-mirror-editor-quote-color);\n}\n.cm-s-jupyter span.cm-link {\n  color: var(--jp-mirror-editor-link-color);\n}\n.cm-s-jupyter span.cm-error {\n  color: var(--jp-mirror-editor-error-color);\n}\n.cm-s-jupyter span.cm-hr {\n  color: #999;\n}\n\n.cm-s-jupyter span.cm-tab {\n  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);\n  background-position: right;\n  background-repeat: no-repeat;\n}\n\n.cm-s-jupyter .CodeMirror-activeline-background,\n.cm-s-jupyter .CodeMirror-gutter {\n  background-color: var(--jp-layout-color2);\n}\n\n/* Styles for shared cursors (remote cursor locations and selected ranges) */\n.jp-CodeMirrorEditor .remote-caret {\n  position: relative;\n  border-left: 2px solid black;\n  margin-left: -1px;\n  margin-right: -1px;\n  box-sizing: border-box;\n}\n\n.jp-CodeMirrorEditor .remote-caret > div {\n  white-space: nowrap;\n  position: absolute;\n  top: -1.15em;\n  padding-bottom: 0.05em;\n  left: -2px;\n  font-size: 0.95em;\n  background-color: rgb(250, 129, 0);\n  font-family: var(--jp-ui-font-family);\n  font-weight: bold;\n  line-height: normal;\n  user-select: none;\n  color: white;\n  padding-left: 2px;\n  padding-right: 2px;\n  z-index: 3;\n  transition: opacity 0.3s ease-in-out;\n}\n\n.jp-CodeMirrorEditor .remote-caret.hide-name > div {\n  transition-delay: 0.7s;\n  opacity: 0;\n}\n\n.jp-CodeMirrorEditor .remote-caret:hover > div {\n  opacity: 1;\n  transition-delay: 0s;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| RenderedText\n|----------------------------------------------------------------------------*/\n\n:root {\n  /* This is the padding value to fill the gaps between lines containing spans with background color. */\n  --jp-private-code-span-padding: calc(\n    (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2\n  );\n}\n\n.jp-RenderedText {\n  text-align: left;\n  padding-left: var(--jp-code-padding);\n  line-height: var(--jp-code-line-height);\n  font-family: var(--jp-code-font-family);\n}\n\n.jp-RenderedText pre,\n.jp-RenderedJavaScript pre,\n.jp-RenderedHTMLCommon pre {\n  color: var(--jp-content-font-color1);\n  font-size: var(--jp-code-font-size);\n  border: none;\n  margin: 0px;\n  padding: 0px;\n}\n\n.jp-RenderedText pre a:link {\n  text-decoration: none;\n  color: var(--jp-content-link-color);\n}\n.jp-RenderedText pre a:hover {\n  text-decoration: underline;\n  color: var(--jp-content-link-color);\n}\n.jp-RenderedText pre a:visited {\n  text-decoration: none;\n  color: var(--jp-content-link-color);\n}\n\n/* console foregrounds and backgrounds */\n.jp-RenderedText pre .ansi-black-fg {\n  color: #3e424d;\n}\n.jp-RenderedText pre .ansi-red-fg {\n  color: #e75c58;\n}\n.jp-RenderedText pre .ansi-green-fg {\n  color: #00a250;\n}\n.jp-RenderedText pre .ansi-yellow-fg {\n  color: #ddb62b;\n}\n.jp-RenderedText pre .ansi-blue-fg {\n  color: #208ffb;\n}\n.jp-RenderedText pre .ansi-magenta-fg {\n  color: #d160c4;\n}\n.jp-RenderedText pre .ansi-cyan-fg {\n  color: #60c6c8;\n}\n.jp-RenderedText pre .ansi-white-fg {\n  color: #c5c1b4;\n}\n\n.jp-RenderedText pre .ansi-black-bg {\n  background-color: #3e424d;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n.jp-RenderedText pre .ansi-red-bg {\n  background-color: #e75c58;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n.jp-RenderedText pre .ansi-green-bg {\n  background-color: #00a250;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n.jp-RenderedText pre .ansi-yellow-bg {\n  background-color: #ddb62b;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n.jp-RenderedText pre .ansi-blue-bg {\n  background-color: #208ffb;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n.jp-RenderedText pre .ansi-magenta-bg {\n  background-color: #d160c4;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n.jp-RenderedText pre .ansi-cyan-bg {\n  background-color: #60c6c8;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n.jp-RenderedText pre .ansi-white-bg {\n  background-color: #c5c1b4;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n\n.jp-RenderedText pre .ansi-black-intense-fg {\n  color: #282c36;\n}\n.jp-RenderedText pre .ansi-red-intense-fg {\n  color: #b22b31;\n}\n.jp-RenderedText pre .ansi-green-intense-fg {\n  color: #007427;\n}\n.jp-RenderedText pre .ansi-yellow-intense-fg {\n  color: #b27d12;\n}\n.jp-RenderedText pre .ansi-blue-intense-fg {\n  color: #0065ca;\n}\n.jp-RenderedText pre .ansi-magenta-intense-fg {\n  color: #a03196;\n}\n.jp-RenderedText pre .ansi-cyan-intense-fg {\n  color: #258f8f;\n}\n.jp-RenderedText pre .ansi-white-intense-fg {\n  color: #a1a6b2;\n}\n\n.jp-RenderedText pre .ansi-black-intense-bg {\n  background-color: #282c36;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n.jp-RenderedText pre .ansi-red-intense-bg {\n  background-color: #b22b31;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n.jp-RenderedText pre .ansi-green-intense-bg {\n  background-color: #007427;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n.jp-RenderedText pre .ansi-yellow-intense-bg {\n  background-color: #b27d12;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n.jp-RenderedText pre .ansi-blue-intense-bg {\n  background-color: #0065ca;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n.jp-RenderedText pre .ansi-magenta-intense-bg {\n  background-color: #a03196;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n.jp-RenderedText pre .ansi-cyan-intense-bg {\n  background-color: #258f8f;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n.jp-RenderedText pre .ansi-white-intense-bg {\n  background-color: #a1a6b2;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n\n.jp-RenderedText pre .ansi-default-inverse-fg {\n  color: var(--jp-ui-inverse-font-color0);\n}\n.jp-RenderedText pre .ansi-default-inverse-bg {\n  background-color: var(--jp-inverse-layout-color0);\n  padding: var(--jp-private-code-span-padding) 0;\n}\n\n.jp-RenderedText pre .ansi-bold {\n  font-weight: bold;\n}\n.jp-RenderedText pre .ansi-underline {\n  text-decoration: underline;\n}\n\n.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {\n  background: var(--jp-rendermime-error-background);\n  padding-top: var(--jp-code-padding);\n}\n\n/*-----------------------------------------------------------------------------\n| RenderedLatex\n|----------------------------------------------------------------------------*/\n\n.jp-RenderedLatex {\n  color: var(--jp-content-font-color1);\n  font-size: var(--jp-content-font-size1);\n  line-height: var(--jp-content-line-height);\n}\n\n/* Left-justify outputs.*/\n.jp-OutputArea-output.jp-RenderedLatex {\n  padding: var(--jp-code-padding);\n  text-align: left;\n}\n\n/*-----------------------------------------------------------------------------\n| RenderedHTML\n|----------------------------------------------------------------------------*/\n\n.jp-RenderedHTMLCommon {\n  color: var(--jp-content-font-color1);\n  font-family: var(--jp-content-font-family);\n  font-size: var(--jp-content-font-size1);\n  line-height: var(--jp-content-line-height);\n  /* Give a bit more R padding on Markdown text to keep line lengths reasonable */\n  padding-right: 20px;\n}\n\n.jp-RenderedHTMLCommon em {\n  font-style: italic;\n}\n\n.jp-RenderedHTMLCommon strong {\n  font-weight: bold;\n}\n\n.jp-RenderedHTMLCommon u {\n  text-decoration: underline;\n}\n\n.jp-RenderedHTMLCommon a:link {\n  text-decoration: none;\n  color: var(--jp-content-link-color);\n}\n\n.jp-RenderedHTMLCommon a:hover {\n  text-decoration: underline;\n  color: var(--jp-content-link-color);\n}\n\n.jp-RenderedHTMLCommon a:visited {\n  text-decoration: none;\n  color: var(--jp-content-link-color);\n}\n\n/* Headings */\n\n.jp-RenderedHTMLCommon h1,\n.jp-RenderedHTMLCommon h2,\n.jp-RenderedHTMLCommon h3,\n.jp-RenderedHTMLCommon h4,\n.jp-RenderedHTMLCommon h5,\n.jp-RenderedHTMLCommon h6 {\n  line-height: var(--jp-content-heading-line-height);\n  font-weight: var(--jp-content-heading-font-weight);\n  font-style: normal;\n  margin: var(--jp-content-heading-margin-top) 0\n    var(--jp-content-heading-margin-bottom) 0;\n}\n\n.jp-RenderedHTMLCommon h1:first-child,\n.jp-RenderedHTMLCommon h2:first-child,\n.jp-RenderedHTMLCommon h3:first-child,\n.jp-RenderedHTMLCommon h4:first-child,\n.jp-RenderedHTMLCommon h5:first-child,\n.jp-RenderedHTMLCommon h6:first-child {\n  margin-top: calc(0.5 * var(--jp-content-heading-margin-top));\n}\n\n.jp-RenderedHTMLCommon h1:last-child,\n.jp-RenderedHTMLCommon h2:last-child,\n.jp-RenderedHTMLCommon h3:last-child,\n.jp-RenderedHTMLCommon h4:last-child,\n.jp-RenderedHTMLCommon h5:last-child,\n.jp-RenderedHTMLCommon h6:last-child {\n  margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));\n}\n\n.jp-RenderedHTMLCommon h1 {\n  font-size: var(--jp-content-font-size5);\n}\n\n.jp-RenderedHTMLCommon h2 {\n  font-size: var(--jp-content-font-size4);\n}\n\n.jp-RenderedHTMLCommon h3 {\n  font-size: var(--jp-content-font-size3);\n}\n\n.jp-RenderedHTMLCommon h4 {\n  font-size: var(--jp-content-font-size2);\n}\n\n.jp-RenderedHTMLCommon h5 {\n  font-size: var(--jp-content-font-size1);\n}\n\n.jp-RenderedHTMLCommon h6 {\n  font-size: var(--jp-content-font-size0);\n}\n\n/* Lists */\n\n.jp-RenderedHTMLCommon ul:not(.list-inline),\n.jp-RenderedHTMLCommon ol:not(.list-inline) {\n  padding-left: 2em;\n}\n\n.jp-RenderedHTMLCommon ul {\n  list-style: disc;\n}\n\n.jp-RenderedHTMLCommon ul ul {\n  list-style: square;\n}\n\n.jp-RenderedHTMLCommon ul ul ul {\n  list-style: circle;\n}\n\n.jp-RenderedHTMLCommon ol {\n  list-style: decimal;\n}\n\n.jp-RenderedHTMLCommon ol ol {\n  list-style: upper-alpha;\n}\n\n.jp-RenderedHTMLCommon ol ol ol {\n  list-style: lower-alpha;\n}\n\n.jp-RenderedHTMLCommon ol ol ol ol {\n  list-style: lower-roman;\n}\n\n.jp-RenderedHTMLCommon ol ol ol ol ol {\n  list-style: decimal;\n}\n\n.jp-RenderedHTMLCommon ol,\n.jp-RenderedHTMLCommon ul {\n  margin-bottom: 1em;\n}\n\n.jp-RenderedHTMLCommon ul ul,\n.jp-RenderedHTMLCommon ul ol,\n.jp-RenderedHTMLCommon ol ul,\n.jp-RenderedHTMLCommon ol ol {\n  margin-bottom: 0em;\n}\n\n.jp-RenderedHTMLCommon hr {\n  color: var(--jp-border-color2);\n  background-color: var(--jp-border-color1);\n  margin-top: 1em;\n  margin-bottom: 1em;\n}\n\n.jp-RenderedHTMLCommon > pre {\n  margin: 1.5em 2em;\n}\n\n.jp-RenderedHTMLCommon pre,\n.jp-RenderedHTMLCommon code {\n  border: 0;\n  background-color: var(--jp-layout-color0);\n  color: var(--jp-content-font-color1);\n  font-family: var(--jp-code-font-family);\n  font-size: inherit;\n  line-height: var(--jp-code-line-height);\n  padding: 0;\n  white-space: pre-wrap;\n}\n\n.jp-RenderedHTMLCommon :not(pre) > code {\n  background-color: var(--jp-layout-color2);\n  padding: 1px 5px;\n}\n\n/* Tables */\n\n.jp-RenderedHTMLCommon table {\n  border-collapse: collapse;\n  border-spacing: 0;\n  border: none;\n  color: var(--jp-ui-font-color1);\n  font-size: 12px;\n  table-layout: fixed;\n  margin-left: auto;\n  margin-right: auto;\n}\n\n.jp-RenderedHTMLCommon thead {\n  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);\n  vertical-align: bottom;\n}\n\n.jp-RenderedHTMLCommon td,\n.jp-RenderedHTMLCommon th,\n.jp-RenderedHTMLCommon tr {\n  vertical-align: middle;\n  padding: 0.5em 0.5em;\n  line-height: normal;\n  white-space: normal;\n  max-width: none;\n  border: none;\n}\n\n.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,\n.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {\n  max-width: none;\n}\n\n:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,\n:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,\n:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {\n  text-align: right;\n}\n\n.jp-RenderedHTMLCommon th {\n  font-weight: bold;\n}\n\n.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {\n  background: var(--jp-layout-color0);\n}\n\n.jp-RenderedHTMLCommon tbody tr:nth-child(even) {\n  background: var(--jp-rendermime-table-row-background);\n}\n\n.jp-RenderedHTMLCommon tbody tr:hover {\n  background: var(--jp-rendermime-table-row-hover-background);\n}\n\n.jp-RenderedHTMLCommon table {\n  margin-bottom: 1em;\n}\n\n.jp-RenderedHTMLCommon p {\n  text-align: left;\n  margin: 0px;\n}\n\n.jp-RenderedHTMLCommon p {\n  margin-bottom: 1em;\n}\n\n.jp-RenderedHTMLCommon img {\n  -moz-force-broken-image-icon: 1;\n}\n\n/* Restrict to direct children as other images could be nested in other content. */\n.jp-RenderedHTMLCommon > img {\n  display: block;\n  margin-left: 0;\n  margin-right: 0;\n  margin-bottom: 1em;\n}\n\n/* Change color behind transparent images if they need it... */\n[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {\n  background-color: var(--jp-inverse-layout-color1);\n}\n[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {\n  background-color: var(--jp-inverse-layout-color1);\n}\n/* ...or leave it untouched if they don't */\n[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-dark-background {\n}\n[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-light-background {\n}\n\n.jp-RenderedHTMLCommon img,\n.jp-RenderedImage img,\n.jp-RenderedHTMLCommon svg,\n.jp-RenderedSVG svg {\n  max-width: 100%;\n  height: auto;\n}\n\n.jp-RenderedHTMLCommon img.jp-mod-unconfined,\n.jp-RenderedImage img.jp-mod-unconfined,\n.jp-RenderedHTMLCommon svg.jp-mod-unconfined,\n.jp-RenderedSVG svg.jp-mod-unconfined {\n  max-width: none;\n}\n\n.jp-RenderedHTMLCommon .alert {\n  padding: var(--jp-notebook-padding);\n  border: var(--jp-border-width) solid transparent;\n  border-radius: var(--jp-border-radius);\n  margin-bottom: 1em;\n}\n\n.jp-RenderedHTMLCommon .alert-info {\n  color: var(--jp-info-color0);\n  background-color: var(--jp-info-color3);\n  border-color: var(--jp-info-color2);\n}\n.jp-RenderedHTMLCommon .alert-info hr {\n  border-color: var(--jp-info-color3);\n}\n.jp-RenderedHTMLCommon .alert-info > p:last-child,\n.jp-RenderedHTMLCommon .alert-info > ul:last-child {\n  margin-bottom: 0;\n}\n\n.jp-RenderedHTMLCommon .alert-warning {\n  color: var(--jp-warn-color0);\n  background-color: var(--jp-warn-color3);\n  border-color: var(--jp-warn-color2);\n}\n.jp-RenderedHTMLCommon .alert-warning hr {\n  border-color: var(--jp-warn-color3);\n}\n.jp-RenderedHTMLCommon .alert-warning > p:last-child,\n.jp-RenderedHTMLCommon .alert-warning > ul:last-child {\n  margin-bottom: 0;\n}\n\n.jp-RenderedHTMLCommon .alert-success {\n  color: var(--jp-success-color0);\n  background-color: var(--jp-success-color3);\n  border-color: var(--jp-success-color2);\n}\n.jp-RenderedHTMLCommon .alert-success hr {\n  border-color: var(--jp-success-color3);\n}\n.jp-RenderedHTMLCommon .alert-success > p:last-child,\n.jp-RenderedHTMLCommon .alert-success > ul:last-child {\n  margin-bottom: 0;\n}\n\n.jp-RenderedHTMLCommon .alert-danger {\n  color: var(--jp-error-color0);\n  background-color: var(--jp-error-color3);\n  border-color: var(--jp-error-color2);\n}\n.jp-RenderedHTMLCommon .alert-danger hr {\n  border-color: var(--jp-error-color3);\n}\n.jp-RenderedHTMLCommon .alert-danger > p:last-child,\n.jp-RenderedHTMLCommon .alert-danger > ul:last-child {\n  margin-bottom: 0;\n}\n\n.jp-RenderedHTMLCommon blockquote {\n  margin: 1em 2em;\n  padding: 0 1em;\n  border-left: 5px solid var(--jp-border-color2);\n}\n\na.jp-InternalAnchorLink {\n  visibility: hidden;\n  margin-left: 8px;\n  color: var(--md-blue-800);\n}\n\nh1:hover .jp-InternalAnchorLink,\nh2:hover .jp-InternalAnchorLink,\nh3:hover .jp-InternalAnchorLink,\nh4:hover .jp-InternalAnchorLink,\nh5:hover .jp-InternalAnchorLink,\nh6:hover .jp-InternalAnchorLink {\n  visibility: visible;\n}\n\n.jp-RenderedHTMLCommon kbd {\n  background-color: var(--jp-rendermime-table-row-background);\n  border: 1px solid var(--jp-border-color0);\n  border-bottom-color: var(--jp-border-color2);\n  border-radius: 3px;\n  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);\n  display: inline-block;\n  font-size: 0.8em;\n  line-height: 1em;\n  padding: 0.2em 0.5em;\n}\n\n/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.\n * At the bottom of cells this is a bit too much as there is also spacing\n * between cells. Going all the way to 0 gets too tight between markdown and\n * code cells.\n */\n.jp-RenderedHTMLCommon > *:last-child {\n  margin-bottom: 0.5em;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-MimeDocument {\n  outline: none;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Variables\n|----------------------------------------------------------------------------*/\n\n:root {\n  --jp-private-filebrowser-button-height: 28px;\n  --jp-private-filebrowser-button-width: 48px;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-FileBrowser {\n  display: flex;\n  flex-direction: column;\n  color: var(--jp-ui-font-color1);\n  background: var(--jp-layout-color1);\n  /* This is needed so that all font sizing of children done in ems is\n   * relative to this base size */\n  font-size: var(--jp-ui-font-size1);\n}\n\n.jp-FileBrowser-toolbar.jp-Toolbar {\n  border-bottom: none;\n  height: auto;\n  margin: var(--jp-toolbar-header-margin);\n  box-shadow: none;\n}\n\n.jp-BreadCrumbs {\n  flex: 0 0 auto;\n  margin: 8px 12px 8px 12px;\n}\n\n.jp-BreadCrumbs-item {\n  margin: 0px 2px;\n  padding: 0px 2px;\n  border-radius: var(--jp-border-radius);\n  cursor: pointer;\n}\n\n.jp-BreadCrumbs-item:hover {\n  background-color: var(--jp-layout-color2);\n}\n\n.jp-BreadCrumbs-item:first-child {\n  margin-left: 0px;\n}\n\n.jp-BreadCrumbs-item.jp-mod-dropTarget {\n  background-color: var(--jp-brand-color2);\n  opacity: 0.7;\n}\n\n/*-----------------------------------------------------------------------------\n| Buttons\n|----------------------------------------------------------------------------*/\n\n.jp-FileBrowser-toolbar.jp-Toolbar {\n  padding: 0px;\n  margin: 8px 12px 0px 12px;\n}\n\n.jp-FileBrowser-toolbar.jp-Toolbar {\n  justify-content: flex-start;\n}\n\n.jp-FileBrowser-toolbar.jp-Toolbar .jp-Toolbar-item {\n  flex: 0 0 auto;\n  padding-left: 0px;\n  padding-right: 2px;\n}\n\n.jp-FileBrowser-toolbar.jp-Toolbar .jp-ToolbarButtonComponent {\n  width: 40px;\n}\n\n.jp-FileBrowser-toolbar.jp-Toolbar\n  .jp-Toolbar-item:first-child\n  .jp-ToolbarButtonComponent {\n  width: 72px;\n  background: var(--jp-brand-color1);\n}\n\n.jp-FileBrowser-toolbar.jp-Toolbar\n  .jp-Toolbar-item:first-child\n  .jp-ToolbarButtonComponent:focus-visible {\n  background-color: var(--jp-brand-color0);\n}\n\n.jp-FileBrowser-toolbar.jp-Toolbar\n  .jp-Toolbar-item:first-child\n  .jp-ToolbarButtonComponent\n  .jp-icon3 {\n  fill: white;\n}\n\n/*-----------------------------------------------------------------------------\n| Other styles\n|----------------------------------------------------------------------------*/\n\n.jp-FileDialog.jp-mod-conflict input {\n  color: var(--jp-error-color1);\n}\n\n.jp-FileDialog .jp-new-name-title {\n  margin-top: 12px;\n}\n\n.jp-LastModified-hidden {\n  display: none;\n}\n\n.jp-FileBrowser-filterBox {\n  padding: 0px;\n  flex: 0 0 auto;\n  margin: 8px 12px 0px 12px;\n}\n\n/*-----------------------------------------------------------------------------\n| DirListing\n|----------------------------------------------------------------------------*/\n\n.jp-DirListing {\n  flex: 1 1 auto;\n  display: flex;\n  flex-direction: column;\n  outline: 0;\n}\n\n.jp-DirListing:focus-visible {\n  border: 1px solid var(--jp-brand-color1);\n}\n\n.jp-DirListing-header {\n  flex: 0 0 auto;\n  display: flex;\n  flex-direction: row;\n  overflow: hidden;\n  border-top: var(--jp-border-width) solid var(--jp-border-color2);\n  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);\n  box-shadow: var(--jp-toolbar-box-shadow);\n  z-index: 2;\n}\n\n.jp-DirListing-headerItem {\n  padding: 4px 12px 2px 12px;\n  font-weight: 500;\n}\n\n.jp-DirListing-headerItem:hover {\n  background: var(--jp-layout-color2);\n}\n\n.jp-DirListing-headerItem.jp-id-name {\n  flex: 1 0 84px;\n}\n\n.jp-DirListing-headerItem.jp-id-modified {\n  flex: 0 0 112px;\n  border-left: var(--jp-border-width) solid var(--jp-border-color2);\n  text-align: right;\n}\n\n.jp-id-narrow {\n  display: none;\n  flex: 0 0 5px;\n  padding: 4px 4px;\n  border-left: var(--jp-border-width) solid var(--jp-border-color2);\n  text-align: right;\n  color: var(--jp-border-color2);\n}\n\n.jp-DirListing-narrow .jp-id-narrow {\n  display: block;\n}\n\n.jp-DirListing-narrow .jp-id-modified,\n.jp-DirListing-narrow .jp-DirListing-itemModified {\n  display: none;\n}\n\n.jp-DirListing-headerItem.jp-mod-selected {\n  font-weight: 600;\n}\n\n/* increase specificity to override bundled default */\n.jp-DirListing-content {\n  flex: 1 1 auto;\n  margin: 0;\n  padding: 0;\n  list-style-type: none;\n  overflow: auto;\n  background-color: var(--jp-layout-color1);\n}\n\n.jp-DirListing-content mark {\n  color: var(--jp-ui-font-color0);\n  background-color: transparent;\n  font-weight: bold;\n}\n\n.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark {\n  color: var(--jp-ui-inverse-font-color0);\n}\n\n/* Style the directory listing content when a user drops a file to upload */\n.jp-DirListing.jp-mod-native-drop .jp-DirListing-content {\n  outline: 5px dashed rgba(128, 128, 128, 0.5);\n  outline-offset: -10px;\n  cursor: copy;\n}\n\n.jp-DirListing-item {\n  display: flex;\n  flex-direction: row;\n  padding: 4px 12px;\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n\n.jp-DirListing-item[data-is-dot] {\n  opacity: 75%;\n}\n\n.jp-DirListing-item.jp-mod-selected {\n  color: var(--jp-ui-inverse-font-color1);\n  background: var(--jp-brand-color1);\n}\n\n.jp-DirListing-item.jp-mod-dropTarget {\n  background: var(--jp-brand-color3);\n}\n\n.jp-DirListing-item:hover:not(.jp-mod-selected) {\n  background: var(--jp-layout-color2);\n}\n\n.jp-DirListing-itemIcon {\n  flex: 0 0 20px;\n  margin-right: 4px;\n}\n\n.jp-DirListing-itemText {\n  flex: 1 0 64px;\n  white-space: nowrap;\n  overflow: hidden;\n  text-overflow: ellipsis;\n  user-select: none;\n}\n\n.jp-DirListing-itemModified {\n  flex: 0 0 125px;\n  text-align: right;\n}\n\n.jp-DirListing-editor {\n  flex: 1 0 64px;\n  outline: none;\n  border: none;\n}\n\n.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon:before {\n  color: var(--jp-success-color1);\n  content: '\\25CF';\n  font-size: 8px;\n  position: absolute;\n  left: -8px;\n}\n\n.jp-DirListing-item.jp-mod-running.jp-mod-selected\n  .jp-DirListing-itemIcon:before {\n  color: var(--jp-ui-inverse-font-color1);\n}\n\n.jp-DirListing-item.lm-mod-drag-image,\n.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {\n  font-size: var(--jp-ui-font-size1);\n  padding-left: 4px;\n  margin-left: 4px;\n  width: 160px;\n  background-color: var(--jp-ui-inverse-font-color2);\n  box-shadow: var(--jp-elevation-z2);\n  border-radius: 0px;\n  color: var(--jp-ui-font-color1);\n  transform: translateX(-40%) translateY(-58%);\n}\n\n.jp-DirListing-deadSpace {\n  flex: 1 1 auto;\n  margin: 0;\n  padding: 0;\n  list-style-type: none;\n  overflow: auto;\n  background-color: var(--jp-layout-color1);\n}\n\n.jp-Document {\n  min-width: 120px;\n  min-height: 120px;\n  outline: none;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Private CSS variables\n|----------------------------------------------------------------------------*/\n\n:root {\n}\n\n/*-----------------------------------------------------------------------------\n| Main OutputArea\n| OutputArea has a list of Outputs\n|----------------------------------------------------------------------------*/\n\n.jp-OutputArea {\n  overflow-y: auto;\n}\n\n.jp-OutputArea-child {\n  display: flex;\n  flex-direction: row;\n}\n\nbody[data-format='mobile'] .jp-OutputArea-child {\n  flex-direction: column;\n}\n\n.jp-OutputPrompt {\n  flex: 0 0 var(--jp-cell-prompt-width);\n  color: var(--jp-cell-outprompt-font-color);\n  font-family: var(--jp-cell-prompt-font-family);\n  padding: var(--jp-code-padding);\n  letter-spacing: var(--jp-cell-prompt-letter-spacing);\n  line-height: var(--jp-code-line-height);\n  font-size: var(--jp-code-font-size);\n  border: var(--jp-border-width) solid transparent;\n  opacity: var(--jp-cell-prompt-opacity);\n  /* Right align prompt text, don't wrap to handle large prompt numbers */\n  text-align: right;\n  white-space: nowrap;\n  overflow: hidden;\n  text-overflow: ellipsis;\n  /* Disable text selection */\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n\nbody[data-format='mobile'] .jp-OutputPrompt {\n  flex: 0 0 auto;\n  text-align: left;\n}\n\n.jp-OutputArea-output {\n  height: auto;\n  overflow: auto;\n  user-select: text;\n  -moz-user-select: text;\n  -webkit-user-select: text;\n  -ms-user-select: text;\n}\n\n.jp-OutputArea-child .jp-OutputArea-output {\n  flex-grow: 1;\n  flex-shrink: 1;\n}\n\nbody[data-format='mobile'] .jp-OutputArea-child .jp-OutputArea-output {\n  margin-left: var(--jp-notebook-padding);\n}\n\n/**\n * Isolated output.\n */\n.jp-OutputArea-output.jp-mod-isolated {\n  width: 100%;\n  display: block;\n}\n\n/*\nWhen drag events occur, `p-mod-override-cursor` is added to the body.\nBecause iframes steal all cursor events, the following two rules are necessary\nto suppress pointer events while resize drags are occurring. There may be a\nbetter solution to this problem.\n*/\nbody.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated {\n  position: relative;\n}\n\nbody.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated:before {\n  content: '';\n  position: absolute;\n  top: 0;\n  left: 0;\n  right: 0;\n  bottom: 0;\n  background: transparent;\n}\n\n/* pre */\n\n.jp-OutputArea-output pre {\n  border: none;\n  margin: 0px;\n  padding: 0px;\n  overflow-x: auto;\n  overflow-y: auto;\n  word-break: break-all;\n  word-wrap: break-word;\n  white-space: pre-wrap;\n}\n\n/* tables */\n\n.jp-OutputArea-output.jp-RenderedHTMLCommon table {\n  margin-left: 0;\n  margin-right: 0;\n}\n\n/* description lists */\n\n.jp-OutputArea-output dl,\n.jp-OutputArea-output dt,\n.jp-OutputArea-output dd {\n  display: block;\n}\n\n.jp-OutputArea-output dl {\n  width: 100%;\n  overflow: hidden;\n  padding: 0;\n  margin: 0;\n}\n\n.jp-OutputArea-output dt {\n  font-weight: bold;\n  float: left;\n  width: 20%;\n  padding: 0;\n  margin: 0;\n}\n\n.jp-OutputArea-output dd {\n  float: left;\n  width: 80%;\n  padding: 0;\n  margin: 0;\n}\n\n/* Hide the gutter in case of\n *  - nested output areas (e.g. in the case of output widgets)\n *  - mirrored output areas\n */\n.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt {\n  display: none;\n}\n\n/*-----------------------------------------------------------------------------\n| executeResult is added to any Output-result for the display of the object\n| returned by a cell\n|----------------------------------------------------------------------------*/\n\n.jp-OutputArea-output.jp-OutputArea-executeResult {\n  margin-left: 0px;\n  flex: 1 1 auto;\n}\n\n/* Text output with the Out[] prompt needs a top padding to match the\n * alignment of the Out[] prompt itself.\n */\n.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {\n  padding-top: var(--jp-code-padding);\n  border-top: var(--jp-border-width) solid transparent;\n}\n\n/*-----------------------------------------------------------------------------\n| The Stdin output\n|----------------------------------------------------------------------------*/\n\n.jp-OutputArea-stdin {\n  line-height: var(--jp-code-line-height);\n  padding-top: var(--jp-code-padding);\n  display: flex;\n}\n\n.jp-Stdin-prompt {\n  color: var(--jp-content-font-color0);\n  padding-right: var(--jp-code-padding);\n  vertical-align: baseline;\n  flex: 0 0 auto;\n}\n\n.jp-Stdin-input {\n  font-family: var(--jp-code-font-family);\n  font-size: inherit;\n  color: inherit;\n  background-color: inherit;\n  width: 42%;\n  min-width: 200px;\n  /* make sure input baseline aligns with prompt */\n  vertical-align: baseline;\n  /* padding + margin = 0.5em between prompt and cursor */\n  padding: 0em 0.25em;\n  margin: 0em 0.25em;\n  flex: 0 0 70%;\n}\n\n.jp-Stdin-input:focus {\n  box-shadow: none;\n}\n\n/*-----------------------------------------------------------------------------\n| Output Area View\n|----------------------------------------------------------------------------*/\n\n.jp-LinkedOutputView .jp-OutputArea {\n  height: 100%;\n  display: block;\n}\n\n.jp-LinkedOutputView .jp-OutputArea-output:only-child {\n  height: 100%;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-Collapser {\n  flex: 0 0 var(--jp-cell-collapser-width);\n  padding: 0px;\n  margin: 0px;\n  border: none;\n  outline: none;\n  background: transparent;\n  border-radius: var(--jp-border-radius);\n  opacity: 1;\n}\n\n.jp-Collapser-child {\n  display: block;\n  width: 100%;\n  box-sizing: border-box;\n  /* height: 100% doesn't work because the height of its parent is computed from content */\n  position: absolute;\n  top: 0px;\n  bottom: 0px;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Header/Footer\n|----------------------------------------------------------------------------*/\n\n/* Hidden by zero height by default */\n.jp-CellHeader,\n.jp-CellFooter {\n  height: 0px;\n  width: 100%;\n  padding: 0px;\n  margin: 0px;\n  border: none;\n  outline: none;\n  background: transparent;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Input\n|----------------------------------------------------------------------------*/\n\n/* All input areas */\n.jp-InputArea {\n  display: flex;\n  flex-direction: row;\n  overflow: hidden;\n}\n\nbody[data-format='mobile'] .jp-InputArea {\n  flex-direction: column;\n}\n\n.jp-InputArea-editor {\n  flex: 1 1 auto;\n  overflow: hidden;\n}\n\n.jp-InputArea-editor {\n  /* This is the non-active, default styling */\n  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);\n  border-radius: 0px;\n  background: var(--jp-cell-editor-background);\n}\n\nbody[data-format='mobile'] .jp-InputArea-editor {\n  margin-left: var(--jp-notebook-padding);\n}\n\n.jp-InputPrompt {\n  flex: 0 0 var(--jp-cell-prompt-width);\n  color: var(--jp-cell-inprompt-font-color);\n  font-family: var(--jp-cell-prompt-font-family);\n  padding: var(--jp-code-padding);\n  letter-spacing: var(--jp-cell-prompt-letter-spacing);\n  opacity: var(--jp-cell-prompt-opacity);\n  line-height: var(--jp-code-line-height);\n  font-size: var(--jp-code-font-size);\n  border: var(--jp-border-width) solid transparent;\n  opacity: var(--jp-cell-prompt-opacity);\n  /* Right align prompt text, don't wrap to handle large prompt numbers */\n  text-align: right;\n  white-space: nowrap;\n  overflow: hidden;\n  text-overflow: ellipsis;\n  /* Disable text selection */\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n\nbody[data-format='mobile'] .jp-InputPrompt {\n  flex: 0 0 auto;\n  text-align: left;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Placeholder\n|----------------------------------------------------------------------------*/\n\n.jp-Placeholder {\n  display: flex;\n  flex-direction: row;\n  flex: 1 1 auto;\n}\n\n.jp-Placeholder-prompt {\n  box-sizing: border-box;\n}\n\n.jp-Placeholder-content {\n  flex: 1 1 auto;\n  border: none;\n  background: transparent;\n  height: 20px;\n  box-sizing: border-box;\n}\n\n.jp-Placeholder-content .jp-MoreHorizIcon {\n  width: 32px;\n  height: 16px;\n  border: 1px solid transparent;\n  border-radius: var(--jp-border-radius);\n}\n\n.jp-Placeholder-content .jp-MoreHorizIcon:hover {\n  border: 1px solid var(--jp-border-color1);\n  box-shadow: 0px 0px 2px 0px rgba(0, 0, 0, 0.25);\n  background-color: var(--jp-layout-color0);\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Private CSS variables\n|----------------------------------------------------------------------------*/\n\n:root {\n  --jp-private-cell-scrolling-output-offset: 5px;\n}\n\n/*-----------------------------------------------------------------------------\n| Cell\n|----------------------------------------------------------------------------*/\n\n.jp-Cell {\n  padding: var(--jp-cell-padding);\n  margin: 0px;\n  border: none;\n  outline: none;\n  background: transparent;\n}\n\n/*-----------------------------------------------------------------------------\n| Common input/output\n|----------------------------------------------------------------------------*/\n\n.jp-Cell-inputWrapper,\n.jp-Cell-outputWrapper {\n  display: flex;\n  flex-direction: row;\n  padding: 0px;\n  margin: 0px;\n  /* Added to reveal the box-shadow on the input and output collapsers. */\n  overflow: visible;\n}\n\n/* Only input/output areas inside cells */\n.jp-Cell-inputArea,\n.jp-Cell-outputArea {\n  flex: 1 1 auto;\n}\n\n/*-----------------------------------------------------------------------------\n| Collapser\n|----------------------------------------------------------------------------*/\n\n/* Make the output collapser disappear when there is not output, but do so\n * in a manner that leaves it in the layout and preserves its width.\n */\n.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser {\n  border: none !important;\n  background: transparent !important;\n}\n\n.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser {\n  min-height: var(--jp-cell-collapser-min-height);\n}\n\n/*-----------------------------------------------------------------------------\n| Output\n|----------------------------------------------------------------------------*/\n\n/* Put a space between input and output when there IS output */\n.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper {\n  margin-top: 5px;\n}\n\n.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {\n  overflow-y: auto;\n  max-height: 200px;\n  box-shadow: inset 0 0 6px 2px rgba(0, 0, 0, 0.3);\n  margin-left: var(--jp-private-cell-scrolling-output-offset);\n}\n\n.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {\n  flex: 0 0\n    calc(\n      var(--jp-cell-prompt-width) -\n        var(--jp-private-cell-scrolling-output-offset)\n    );\n}\n\n/*-----------------------------------------------------------------------------\n| CodeCell\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| MarkdownCell\n|----------------------------------------------------------------------------*/\n\n.jp-MarkdownOutput {\n  flex: 1 1 auto;\n  margin-top: 0;\n  margin-bottom: 0;\n  padding-left: var(--jp-code-padding);\n}\n\n.jp-MarkdownOutput.jp-RenderedHTMLCommon {\n  overflow: auto;\n}\n\n.jp-showHiddenCellsButton {\n  margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));\n  margin-top: var(--jp-code-padding);\n  border: 1px solid var(--jp-border-color2);\n  background-color: var(--jp-border-color3) !important;\n  color: var(--jp-content-font-color0) !important;\n}\n\n.jp-showHiddenCellsButton:hover {\n  background-color: var(--jp-border-color2) !important;\n}\n\n.jp-collapseHeadingButton {\n  display: none;\n}\n\n.jp-MarkdownCell:hover .jp-collapseHeadingButton {\n  display: flex;\n  min-height: var(--jp-cell-collapser-min-height);\n  position: absolute;\n  right: 0;\n  top: 0;\n  bottom: 0;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Variables\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n\n/*-----------------------------------------------------------------------------\n| Styles\n|----------------------------------------------------------------------------*/\n\n.jp-NotebookPanel-toolbar {\n  padding: 2px;\n}\n\n.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {\n  border: none;\n  box-shadow: none;\n}\n\n.jp-Notebook-toolbarCellTypeDropdown select {\n  height: 24px;\n  font-size: var(--jp-ui-font-size1);\n  line-height: 14px;\n  border-radius: 0;\n  display: block;\n}\n\n.jp-Notebook-toolbarCellTypeDropdown span {\n  top: 5px !important;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Private CSS variables\n|----------------------------------------------------------------------------*/\n\n:root {\n  --jp-private-notebook-dragImage-width: 304px;\n  --jp-private-notebook-dragImage-height: 36px;\n  --jp-private-notebook-selected-color: var(--md-blue-400);\n  --jp-private-notebook-active-color: var(--md-green-400);\n}\n\n/*-----------------------------------------------------------------------------\n| Imports\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Notebook\n|----------------------------------------------------------------------------*/\n\n.jp-NotebookPanel {\n  display: block;\n  height: 100%;\n}\n\n.jp-NotebookPanel.jp-Document {\n  min-width: 240px;\n  min-height: 120px;\n}\n\n.jp-Notebook {\n  padding: var(--jp-notebook-padding);\n  outline: none;\n  overflow: auto;\n  background: var(--jp-layout-color0);\n}\n\n.jp-Notebook.jp-mod-scrollPastEnd::after {\n  display: block;\n  content: '';\n  min-height: var(--jp-notebook-scroll-padding);\n}\n\n.jp-MainAreaWidget-ContainStrict .jp-Notebook * {\n  contain: strict;\n}\n\n.jp-Notebook-render * {\n  contain: none !important;\n}\n\n.jp-Notebook .jp-Cell {\n  overflow: visible;\n}\n\n.jp-Notebook .jp-Cell .jp-InputPrompt {\n  cursor: move;\n  float: left;\n}\n\n/*-----------------------------------------------------------------------------\n| Notebook state related styling\n|\n| The notebook and cells each have states, here are the possibilities:\n|\n| - Notebook\n|   - Command\n|   - Edit\n| - Cell\n|   - None\n|   - Active (only one can be active)\n|   - Selected (the cells actions are applied to)\n|   - Multiselected (when multiple selected, the cursor)\n|   - No outputs\n|----------------------------------------------------------------------------*/\n\n/* Command or edit modes */\n\n.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt {\n  opacity: var(--jp-cell-prompt-not-active-opacity);\n  color: var(--jp-cell-prompt-not-active-font-color);\n}\n\n.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt {\n  opacity: var(--jp-cell-prompt-not-active-opacity);\n  color: var(--jp-cell-prompt-not-active-font-color);\n}\n\n/* cell is active */\n.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser {\n  background: var(--jp-brand-color1);\n}\n\n/* cell is dirty */\n.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {\n  color: var(--jp-warn-color1);\n}\n.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt:before {\n  color: var(--jp-warn-color1);\n  content: '•';\n}\n\n.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser {\n  background: var(--jp-warn-color1);\n}\n\n/* collapser is hovered */\n.jp-Notebook .jp-Cell .jp-Collapser:hover {\n  box-shadow: var(--jp-elevation-z2);\n  background: var(--jp-brand-color1);\n  opacity: var(--jp-cell-collapser-not-active-hover-opacity);\n}\n\n/* cell is active and collapser is hovered */\n.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover {\n  background: var(--jp-brand-color0);\n  opacity: 1;\n}\n\n/* Command mode */\n\n.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected {\n  background: var(--jp-notebook-multiselected-color);\n}\n\n.jp-Notebook.jp-mod-commandMode\n  .jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) {\n  background: transparent;\n}\n\n/* Edit mode */\n\n.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor {\n  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);\n  box-shadow: var(--jp-input-box-shadow);\n  background-color: var(--jp-cell-editor-active-background);\n}\n\n/*-----------------------------------------------------------------------------\n| Notebook drag and drop\n|----------------------------------------------------------------------------*/\n\n.jp-Notebook-cell.jp-mod-dropSource {\n  opacity: 0.5;\n}\n\n.jp-Notebook-cell.jp-mod-dropTarget,\n.jp-Notebook.jp-mod-commandMode\n  .jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget {\n  border-top-color: var(--jp-private-notebook-selected-color);\n  border-top-style: solid;\n  border-top-width: 2px;\n}\n\n.jp-dragImage {\n  display: block;\n  flex-direction: row;\n  width: var(--jp-private-notebook-dragImage-width);\n  height: var(--jp-private-notebook-dragImage-height);\n  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);\n  background: var(--jp-cell-editor-background);\n  overflow: visible;\n}\n\n.jp-dragImage-singlePrompt {\n  box-shadow: 2px 2px 4px 0px rgba(0, 0, 0, 0.12);\n}\n\n.jp-dragImage .jp-dragImage-content {\n  flex: 1 1 auto;\n  z-index: 2;\n  font-size: var(--jp-code-font-size);\n  font-family: var(--jp-code-font-family);\n  line-height: var(--jp-code-line-height);\n  padding: var(--jp-code-padding);\n  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);\n  background: var(--jp-cell-editor-background-color);\n  color: var(--jp-content-font-color3);\n  text-align: left;\n  margin: 4px 4px 4px 0px;\n}\n\n.jp-dragImage .jp-dragImage-prompt {\n  flex: 0 0 auto;\n  min-width: 36px;\n  color: var(--jp-cell-inprompt-font-color);\n  padding: var(--jp-code-padding);\n  padding-left: 12px;\n  font-family: var(--jp-cell-prompt-font-family);\n  letter-spacing: var(--jp-cell-prompt-letter-spacing);\n  line-height: 1.9;\n  font-size: var(--jp-code-font-size);\n  border: var(--jp-border-width) solid transparent;\n}\n\n.jp-dragImage-multipleBack {\n  z-index: -1;\n  position: absolute;\n  height: 32px;\n  width: 300px;\n  top: 8px;\n  left: 8px;\n  background: var(--jp-layout-color2);\n  border: var(--jp-border-width) solid var(--jp-input-border-color);\n  box-shadow: 2px 2px 4px 0px rgba(0, 0, 0, 0.12);\n}\n\n/*-----------------------------------------------------------------------------\n| Cell toolbar\n|----------------------------------------------------------------------------*/\n\n.jp-NotebookTools {\n  display: block;\n  min-width: var(--jp-sidebar-min-width);\n  color: var(--jp-ui-font-color1);\n  background: var(--jp-layout-color1);\n  /* This is needed so that all font sizing of children done in ems is\n    * relative to this base size */\n  font-size: var(--jp-ui-font-size1);\n  overflow: auto;\n}\n\n.jp-NotebookTools-tool {\n  padding: 0px 12px 0 12px;\n}\n\n.jp-ActiveCellTool {\n  padding: 12px;\n  background-color: var(--jp-layout-color1);\n  border-top: none !important;\n}\n\n.jp-ActiveCellTool .jp-InputArea-prompt {\n  flex: 0 0 auto;\n  padding-left: 0px;\n}\n\n.jp-ActiveCellTool .jp-InputArea-editor {\n  flex: 1 1 auto;\n  background: var(--jp-cell-editor-background);\n  border-color: var(--jp-cell-editor-border-color);\n}\n\n.jp-ActiveCellTool .jp-InputArea-editor .CodeMirror {\n  background: transparent;\n}\n\n.jp-MetadataEditorTool {\n  flex-direction: column;\n  padding: 12px 0px 12px 0px;\n}\n\n.jp-RankedPanel > :not(:first-child) {\n  margin-top: 12px;\n}\n\n.jp-KeySelector select.jp-mod-styled {\n  font-size: var(--jp-ui-font-size1);\n  color: var(--jp-ui-font-color0);\n  border: var(--jp-border-width) solid var(--jp-border-color1);\n}\n\n.jp-KeySelector label,\n.jp-MetadataEditorTool label {\n  line-height: 1.4;\n}\n\n.jp-NotebookTools .jp-select-wrapper {\n  margin-top: 4px;\n  margin-bottom: 0px;\n}\n\n.jp-NotebookTools .jp-Collapse {\n  margin-top: 16px;\n}\n\n/*-----------------------------------------------------------------------------\n| Presentation Mode (.jp-mod-presentationMode)\n|----------------------------------------------------------------------------*/\n\n.jp-mod-presentationMode .jp-Notebook {\n  --jp-content-font-size1: var(--jp-content-presentation-font-size1);\n  --jp-code-font-size: var(--jp-code-presentation-font-size);\n}\n\n.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt,\n.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt {\n  flex: 0 0 110px;\n}\n\n/*-----------------------------------------------------------------------------\n| Placeholder\n|----------------------------------------------------------------------------*/\n\n.jp-Cell-Placeholder {\n  padding-left: 55px;\n}\n\n.jp-Cell-Placeholder-wrapper {\n  background: #fff;\n  border: 1px solid;\n  border-color: #e5e6e9 #dfe0e4 #d0d1d5;\n  border-radius: 4px;\n  -webkit-border-radius: 4px;\n  margin: 10px 15px;\n}\n\n.jp-Cell-Placeholder-wrapper-inner {\n  padding: 15px;\n  position: relative;\n}\n\n.jp-Cell-Placeholder-wrapper-body {\n  background-repeat: repeat;\n  background-size: 50% auto;\n}\n\n.jp-Cell-Placeholder-wrapper-body div {\n  background: #f6f7f8;\n  background-image: -webkit-linear-gradient(\n    left,\n    #f6f7f8 0%,\n    #edeef1 20%,\n    #f6f7f8 40%,\n    #f6f7f8 100%\n  );\n  background-repeat: no-repeat;\n  background-size: 800px 104px;\n  height: 104px;\n  position: relative;\n}\n\n.jp-Cell-Placeholder-wrapper-body div {\n  position: absolute;\n  right: 15px;\n  left: 15px;\n  top: 15px;\n}\n\ndiv.jp-Cell-Placeholder-h1 {\n  top: 20px;\n  height: 20px;\n  left: 15px;\n  width: 150px;\n}\n\ndiv.jp-Cell-Placeholder-h2 {\n  left: 15px;\n  top: 50px;\n  height: 10px;\n  width: 100px;\n}\n\ndiv.jp-Cell-Placeholder-content-1,\ndiv.jp-Cell-Placeholder-content-2,\ndiv.jp-Cell-Placeholder-content-3 {\n  left: 15px;\n  right: 15px;\n  height: 10px;\n}\n\ndiv.jp-Cell-Placeholder-content-1 {\n  top: 100px;\n}\n\ndiv.jp-Cell-Placeholder-content-2 {\n  top: 120px;\n}\n\ndiv.jp-Cell-Placeholder-content-3 {\n  top: 140px;\n}\n\n</style>\n\n    <style type=\"text/css\">\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*\nThe following CSS variables define the main, public API for styling JupyterLab.\nThese variables should be used by all plugins wherever possible. In other\nwords, plugins should not define custom colors, sizes, etc unless absolutely\nnecessary. This enables users to change the visual theme of JupyterLab\nby changing these variables.\n\nMany variables appear in an ordered sequence (0,1,2,3). These sequences\nare designed to work well together, so for example, `--jp-border-color1` should\nbe used with `--jp-layout-color1`. The numbers have the following meanings:\n\n* 0: super-primary, reserved for special emphasis\n* 1: primary, most important under normal situations\n* 2: secondary, next most important under normal situations\n* 3: tertiary, next most important under normal situations\n\nThroughout JupyterLab, we are mostly following principles from Google's\nMaterial Design when selecting colors. We are not, however, following\nall of MD as it is not optimized for dense, information rich UIs.\n*/\n\n:root {\n  /* Elevation\n   *\n   * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:\n   *\n   * https://github.com/material-components/material-components-web\n   * https://material-components-web.appspot.com/elevation.html\n   */\n\n  --jp-shadow-base-lightness: 0;\n  --jp-shadow-umbra-color: rgba(\n    var(--jp-shadow-base-lightness),\n    var(--jp-shadow-base-lightness),\n    var(--jp-shadow-base-lightness),\n    0.2\n  );\n  --jp-shadow-penumbra-color: rgba(\n    var(--jp-shadow-base-lightness),\n    var(--jp-shadow-base-lightness),\n    var(--jp-shadow-base-lightness),\n    0.14\n  );\n  --jp-shadow-ambient-color: rgba(\n    var(--jp-shadow-base-lightness),\n    var(--jp-shadow-base-lightness),\n    var(--jp-shadow-base-lightness),\n    0.12\n  );\n  --jp-elevation-z0: none;\n  --jp-elevation-z1: 0px 2px 1px -1px var(--jp-shadow-umbra-color),\n    0px 1px 1px 0px var(--jp-shadow-penumbra-color),\n    0px 1px 3px 0px var(--jp-shadow-ambient-color);\n  --jp-elevation-z2: 0px 3px 1px -2px var(--jp-shadow-umbra-color),\n    0px 2px 2px 0px var(--jp-shadow-penumbra-color),\n    0px 1px 5px 0px var(--jp-shadow-ambient-color);\n  --jp-elevation-z4: 0px 2px 4px -1px var(--jp-shadow-umbra-color),\n    0px 4px 5px 0px var(--jp-shadow-penumbra-color),\n    0px 1px 10px 0px var(--jp-shadow-ambient-color);\n  --jp-elevation-z6: 0px 3px 5px -1px var(--jp-shadow-umbra-color),\n    0px 6px 10px 0px var(--jp-shadow-penumbra-color),\n    0px 1px 18px 0px var(--jp-shadow-ambient-color);\n  --jp-elevation-z8: 0px 5px 5px -3px var(--jp-shadow-umbra-color),\n    0px 8px 10px 1px var(--jp-shadow-penumbra-color),\n    0px 3px 14px 2px var(--jp-shadow-ambient-color);\n  --jp-elevation-z12: 0px 7px 8px -4px var(--jp-shadow-umbra-color),\n    0px 12px 17px 2px var(--jp-shadow-penumbra-color),\n    0px 5px 22px 4px var(--jp-shadow-ambient-color);\n  --jp-elevation-z16: 0px 8px 10px -5px var(--jp-shadow-umbra-color),\n    0px 16px 24px 2px var(--jp-shadow-penumbra-color),\n    0px 6px 30px 5px var(--jp-shadow-ambient-color);\n  --jp-elevation-z20: 0px 10px 13px -6px var(--jp-shadow-umbra-color),\n    0px 20px 31px 3px var(--jp-shadow-penumbra-color),\n    0px 8px 38px 7px var(--jp-shadow-ambient-color);\n  --jp-elevation-z24: 0px 11px 15px -7px var(--jp-shadow-umbra-color),\n    0px 24px 38px 3px var(--jp-shadow-penumbra-color),\n    0px 9px 46px 8px var(--jp-shadow-ambient-color);\n\n  /* Borders\n   *\n   * The following variables, specify the visual styling of borders in JupyterLab.\n   */\n\n  --jp-border-width: 1px;\n  --jp-border-color0: var(--md-grey-400);\n  --jp-border-color1: var(--md-grey-400);\n  --jp-border-color2: var(--md-grey-300);\n  --jp-border-color3: var(--md-grey-200);\n  --jp-border-radius: 2px;\n\n  /* UI Fonts\n   *\n   * The UI font CSS variables are used for the typography all of the JupyterLab\n   * user interface elements that are not directly user generated content.\n   *\n   * The font sizing here is done assuming that the body font size of --jp-ui-font-size1\n   * is applied to a parent element. When children elements, such as headings, are sized\n   * in em all things will be computed relative to that body size.\n   */\n\n  --jp-ui-font-scale-factor: 1.2;\n  --jp-ui-font-size0: 0.83333em;\n  --jp-ui-font-size1: 13px; /* Base font size */\n  --jp-ui-font-size2: 1.2em;\n  --jp-ui-font-size3: 1.44em;\n\n  --jp-ui-font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Helvetica,\n    Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji', 'Segoe UI Symbol';\n\n  /*\n   * Use these font colors against the corresponding main layout colors.\n   * In a light theme, these go from dark to light.\n   */\n\n  /* Defaults use Material Design specification */\n  --jp-ui-font-color0: rgba(0, 0, 0, 1);\n  --jp-ui-font-color1: rgba(0, 0, 0, 0.87);\n  --jp-ui-font-color2: rgba(0, 0, 0, 0.54);\n  --jp-ui-font-color3: rgba(0, 0, 0, 0.38);\n\n  /*\n   * Use these against the brand/accent/warn/error colors.\n   * These will typically go from light to darker, in both a dark and light theme.\n   */\n\n  --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);\n  --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);\n  --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);\n  --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);\n\n  /* Content Fonts\n   *\n   * Content font variables are used for typography of user generated content.\n   *\n   * The font sizing here is done assuming that the body font size of --jp-content-font-size1\n   * is applied to a parent element. When children elements, such as headings, are sized\n   * in em all things will be computed relative to that body size.\n   */\n\n  --jp-content-line-height: 1.6;\n  --jp-content-font-scale-factor: 1.2;\n  --jp-content-font-size0: 0.83333em;\n  --jp-content-font-size1: 14px; /* Base font size */\n  --jp-content-font-size2: 1.2em;\n  --jp-content-font-size3: 1.44em;\n  --jp-content-font-size4: 1.728em;\n  --jp-content-font-size5: 2.0736em;\n\n  /* This gives a magnification of about 125% in presentation mode over normal. */\n  --jp-content-presentation-font-size1: 17px;\n\n  --jp-content-heading-line-height: 1;\n  --jp-content-heading-margin-top: 1.2em;\n  --jp-content-heading-margin-bottom: 0.8em;\n  --jp-content-heading-font-weight: 500;\n\n  /* Defaults use Material Design specification */\n  --jp-content-font-color0: rgba(0, 0, 0, 1);\n  --jp-content-font-color1: rgba(0, 0, 0, 0.87);\n  --jp-content-font-color2: rgba(0, 0, 0, 0.54);\n  --jp-content-font-color3: rgba(0, 0, 0, 0.38);\n\n  --jp-content-link-color: var(--md-blue-700);\n\n  --jp-content-font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI',\n    Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',\n    'Segoe UI Symbol';\n\n  /*\n   * Code Fonts\n   *\n   * Code font variables are used for typography of code and other monospaces content.\n   */\n\n  --jp-code-font-size: 13px;\n  --jp-code-line-height: 1.3077; /* 17px for 13px base */\n  --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */\n  --jp-code-font-family-default: Menlo, Consolas, 'DejaVu Sans Mono', monospace;\n  --jp-code-font-family: var(--jp-code-font-family-default);\n\n  /* This gives a magnification of about 125% in presentation mode over normal. */\n  --jp-code-presentation-font-size: 16px;\n\n  /* may need to tweak cursor width if you change font size */\n  --jp-code-cursor-width0: 1.4px;\n  --jp-code-cursor-width1: 2px;\n  --jp-code-cursor-width2: 4px;\n\n  /* Layout\n   *\n   * The following are the main layout colors use in JupyterLab. In a light\n   * theme these would go from light to dark.\n   */\n\n  --jp-layout-color0: white;\n  --jp-layout-color1: white;\n  --jp-layout-color2: var(--md-grey-200);\n  --jp-layout-color3: var(--md-grey-400);\n  --jp-layout-color4: var(--md-grey-600);\n\n  /* Inverse Layout\n   *\n   * The following are the inverse layout colors use in JupyterLab. In a light\n   * theme these would go from dark to light.\n   */\n\n  --jp-inverse-layout-color0: #111111;\n  --jp-inverse-layout-color1: var(--md-grey-900);\n  --jp-inverse-layout-color2: var(--md-grey-800);\n  --jp-inverse-layout-color3: var(--md-grey-700);\n  --jp-inverse-layout-color4: var(--md-grey-600);\n\n  /* Brand/accent */\n\n  --jp-brand-color0: var(--md-blue-900);\n  --jp-brand-color1: var(--md-blue-700);\n  --jp-brand-color2: var(--md-blue-300);\n  --jp-brand-color3: var(--md-blue-100);\n  --jp-brand-color4: var(--md-blue-50);\n\n  --jp-accent-color0: var(--md-green-900);\n  --jp-accent-color1: var(--md-green-700);\n  --jp-accent-color2: var(--md-green-300);\n  --jp-accent-color3: var(--md-green-100);\n\n  /* State colors (warn, error, success, info) */\n\n  --jp-warn-color0: var(--md-orange-900);\n  --jp-warn-color1: var(--md-orange-700);\n  --jp-warn-color2: var(--md-orange-300);\n  --jp-warn-color3: var(--md-orange-100);\n\n  --jp-error-color0: var(--md-red-900);\n  --jp-error-color1: var(--md-red-700);\n  --jp-error-color2: var(--md-red-300);\n  --jp-error-color3: var(--md-red-100);\n\n  --jp-success-color0: var(--md-green-900);\n  --jp-success-color1: var(--md-green-700);\n  --jp-success-color2: var(--md-green-300);\n  --jp-success-color3: var(--md-green-100);\n\n  --jp-info-color0: var(--md-cyan-900);\n  --jp-info-color1: var(--md-cyan-700);\n  --jp-info-color2: var(--md-cyan-300);\n  --jp-info-color3: var(--md-cyan-100);\n\n  /* Cell specific styles */\n\n  --jp-cell-padding: 5px;\n\n  --jp-cell-collapser-width: 8px;\n  --jp-cell-collapser-min-height: 20px;\n  --jp-cell-collapser-not-active-hover-opacity: 0.6;\n\n  --jp-cell-editor-background: var(--md-grey-100);\n  --jp-cell-editor-border-color: var(--md-grey-300);\n  --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);\n  --jp-cell-editor-active-background: var(--jp-layout-color0);\n  --jp-cell-editor-active-border-color: var(--jp-brand-color1);\n\n  --jp-cell-prompt-width: 64px;\n  --jp-cell-prompt-font-family: var(--jp-code-font-family-default);\n  --jp-cell-prompt-letter-spacing: 0px;\n  --jp-cell-prompt-opacity: 1;\n  --jp-cell-prompt-not-active-opacity: 0.5;\n  --jp-cell-prompt-not-active-font-color: var(--md-grey-700);\n  /* A custom blend of MD grey and blue 600\n   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */\n  --jp-cell-inprompt-font-color: #307fc1;\n  /* A custom blend of MD grey and orange 600\n   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */\n  --jp-cell-outprompt-font-color: #bf5b3d;\n\n  /* Notebook specific styles */\n\n  --jp-notebook-padding: 10px;\n  --jp-notebook-select-background: var(--jp-layout-color1);\n  --jp-notebook-multiselected-color: var(--md-blue-50);\n\n  /* The scroll padding is calculated to fill enough space at the bottom of the\n  notebook to show one single-line cell (with appropriate padding) at the top\n  when the notebook is scrolled all the way to the bottom. We also subtract one\n  pixel so that no scrollbar appears if we have just one single-line cell in the\n  notebook. This padding is to enable a 'scroll past end' feature in a notebook.\n  */\n  --jp-notebook-scroll-padding: calc(\n    100% - var(--jp-code-font-size) * var(--jp-code-line-height) -\n      var(--jp-code-padding) - var(--jp-cell-padding) - 1px\n  );\n\n  /* Rendermime styles */\n\n  --jp-rendermime-error-background: #fdd;\n  --jp-rendermime-table-row-background: var(--md-grey-100);\n  --jp-rendermime-table-row-hover-background: var(--md-light-blue-50);\n\n  /* Dialog specific styles */\n\n  --jp-dialog-background: rgba(0, 0, 0, 0.25);\n\n  /* Console specific styles */\n\n  --jp-console-padding: 10px;\n\n  /* Toolbar specific styles */\n\n  --jp-toolbar-border-color: var(--jp-border-color1);\n  --jp-toolbar-micro-height: 8px;\n  --jp-toolbar-background: var(--jp-layout-color1);\n  --jp-toolbar-box-shadow: 0px 0px 2px 0px rgba(0, 0, 0, 0.24);\n  --jp-toolbar-header-margin: 4px 4px 0px 4px;\n  --jp-toolbar-active-background: var(--md-grey-300);\n\n  /* Statusbar specific styles */\n\n  --jp-statusbar-height: 24px;\n\n  /* Input field styles */\n\n  --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);\n  --jp-input-active-background: var(--jp-layout-color1);\n  --jp-input-hover-background: var(--jp-layout-color1);\n  --jp-input-background: var(--md-grey-100);\n  --jp-input-border-color: var(--jp-border-color1);\n  --jp-input-active-border-color: var(--jp-brand-color1);\n  --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);\n\n  /* General editor styles */\n\n  --jp-editor-selected-background: #d9d9d9;\n  --jp-editor-selected-focused-background: #d7d4f0;\n  --jp-editor-cursor-color: var(--jp-ui-font-color0);\n\n  /* Code mirror specific styles */\n\n  --jp-mirror-editor-keyword-color: #008000;\n  --jp-mirror-editor-atom-color: #88f;\n  --jp-mirror-editor-number-color: #080;\n  --jp-mirror-editor-def-color: #00f;\n  --jp-mirror-editor-variable-color: var(--md-grey-900);\n  --jp-mirror-editor-variable-2-color: #05a;\n  --jp-mirror-editor-variable-3-color: #085;\n  --jp-mirror-editor-punctuation-color: #05a;\n  --jp-mirror-editor-property-color: #05a;\n  --jp-mirror-editor-operator-color: #aa22ff;\n  --jp-mirror-editor-comment-color: #408080;\n  --jp-mirror-editor-string-color: #ba2121;\n  --jp-mirror-editor-string-2-color: #708;\n  --jp-mirror-editor-meta-color: #aa22ff;\n  --jp-mirror-editor-qualifier-color: #555;\n  --jp-mirror-editor-builtin-color: #008000;\n  --jp-mirror-editor-bracket-color: #997;\n  --jp-mirror-editor-tag-color: #170;\n  --jp-mirror-editor-attribute-color: #00c;\n  --jp-mirror-editor-header-color: blue;\n  --jp-mirror-editor-quote-color: #090;\n  --jp-mirror-editor-link-color: #00c;\n  --jp-mirror-editor-error-color: #f00;\n  --jp-mirror-editor-hr-color: #999;\n\n  /* Vega extension styles */\n\n  --jp-vega-background: white;\n\n  /* Sidebar-related styles */\n\n  --jp-sidebar-min-width: 250px;\n\n  /* Search-related styles */\n\n  --jp-search-toggle-off-opacity: 0.5;\n  --jp-search-toggle-hover-opacity: 0.8;\n  --jp-search-toggle-on-opacity: 1;\n  --jp-search-selected-match-background-color: rgb(245, 200, 0);\n  --jp-search-selected-match-color: black;\n  --jp-search-unselected-match-background-color: var(\n    --jp-inverse-layout-color0\n  );\n  --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);\n\n  /* Icon colors that work well with light or dark backgrounds */\n  --jp-icon-contrast-color0: var(--md-purple-600);\n  --jp-icon-contrast-color1: var(--md-green-600);\n  --jp-icon-contrast-color2: var(--md-pink-600);\n  --jp-icon-contrast-color3: var(--md-blue-600);\n}\n</style>\n\n<style type=\"text/css\">\n/* Force rendering true colors when outputing to pdf */\n* {\n  -webkit-print-color-adjust: exact;\n}\n\n/* Misc */\na.anchor-link {\n  display: none;\n}\n\n.highlight  {\n  margin: 0.4em;\n}\n\n/* Input area styling */\n.jp-InputArea {\n  overflow: hidden;\n}\n\n.jp-InputArea-editor {\n  overflow: hidden;\n}\n\n.CodeMirror pre {\n  margin: 0;\n  padding: 0;\n}\n\n/* Using table instead of flexbox so that we can use break-inside property */\n/* CSS rules under this comment should not be required anymore after we move to the JupyterLab 4.0 CSS */\n\n\n.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {\n  min-width: calc(\n    var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset)\n  );\n}\n\n.jp-OutputArea-child {\n  display: table;\n  width: 100%;\n}\n\n.jp-OutputPrompt {\n  display: table-cell;\n  vertical-align: top;\n  min-width: var(--jp-cell-prompt-width);\n}\n\nbody[data-format='mobile'] .jp-OutputPrompt {\n  display: table-row;\n}\n\n.jp-OutputArea-output {\n  display: table-cell;\n  width: 100%;\n}\n\nbody[data-format='mobile'] .jp-OutputArea-child .jp-OutputArea-output {\n  display: table-row;\n}\n\n.jp-OutputArea-output.jp-OutputArea-executeResult {\n  width: 100%;\n}\n\n/* Hiding the collapser by default */\n.jp-Collapser {\n  display: none;\n}\n\n@media print {\n  .jp-Cell-inputWrapper,\n  .jp-Cell-outputWrapper {\n    display: block;\n  }\n\n  .jp-OutputArea-child {\n    break-inside: avoid-page;\n  }\n}\n</style>\n\n<!-- Load mathjax -->\n    <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS_CHTML-full,Safe\"> </script>\n    <!-- MathJax configuration -->\n    <script type=\"text/x-mathjax-config\">\n    init_mathjax = function() {\n        if (window.MathJax) {\n        // MathJax loaded\n            MathJax.Hub.Config({\n                TeX: {\n                    equationNumbers: {\n                    autoNumber: \"AMS\",\n                    useLabelIds: true\n                    }\n                },\n                tex2jax: {\n                    inlineMath: [ ['$','$'], [\"\\\\(\",\"\\\\)\"] ],\n                    displayMath: [ ['$$','$$'], [\"\\\\[\",\"\\\\]\"] ],\n                    processEscapes: true,\n                    processEnvironments: true\n                },\n                displayAlign: 'center',\n                CommonHTML: {\n                    linebreaks: {\n                    automatic: true\n                    }\n                }\n            });\n\n            MathJax.Hub.Queue([\"Typeset\", MathJax.Hub]);\n        }\n    }\n    init_mathjax();\n    </script>\n    <!-- End of mathjax configuration --></head>\n<body class=\"jp-Notebook\" data-jp-theme-light=\"true\" data-jp-theme-name=\"JupyterLab Light\">\n\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput \" data-mime-type=\"text/markdown\">\n<h1 id=\"Chapter-1:-Computing-with-Python\">Chapter 1: Computing with Python<a class=\"anchor-link\" href=\"#Chapter-1:-Computing-with-Python\">&#182;</a></h1>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput \" data-mime-type=\"text/markdown\">\n<p>Robert Johansson</p>\n<p>Source code listings for <a href=\"https://link.springer.com/book/10.1007/979-8-8688-0413-7\">Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib</a> (ISBN 979-8-8688-0412-0).</p>\n\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput \" data-mime-type=\"text/markdown\">\n<h2 id=\"Interpreter\">Interpreter<a class=\"anchor-link\" href=\"#Interpreter\">&#182;</a></h2>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[1]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"o\">%%writefile</span> hello.py\n<span class=\"nb\">print</span><span class=\"p\">(</span><span class=\"s2\">\"Hello from Python!\"</span><span class=\"p\">)</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\">\n<pre>Overwriting hello.py\n</pre>\n</div>\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[2]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"o\">!</span>python<span class=\"w\"> </span>hello.py\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\">\n<pre>Hello from Python!\n</pre>\n</div>\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[3]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"o\">!</span>python<span class=\"w\"> </span>--version\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\">\n<pre>Python 3.10.12\n</pre>\n</div>\n</div>\n\n</div>\n\n</div>\n\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput \" data-mime-type=\"text/markdown\">\n<h2 id=\"Input-and-output-caching\">Input and output caching<a class=\"anchor-link\" href=\"#Input-and-output-caching\">&#182;</a></h2><p>(restart the kernel for the same output and cell numbers)</p>\n\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[1]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"mi\">3</span> <span class=\"o\">*</span> <span class=\"mi\">3</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[1]:</div>\n\n\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/plain\">\n<pre>9</pre>\n</div>\n\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[2]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"n\">In</span><span class=\"p\">[</span><span class=\"mi\">1</span><span class=\"p\">]</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[2]:</div>\n\n\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/plain\">\n<pre>&#39;3 * 3&#39;</pre>\n</div>\n\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[3]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"n\">Out</span><span class=\"p\">[</span><span class=\"mi\">1</span><span class=\"p\">]</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[3]:</div>\n\n\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/plain\">\n<pre>9</pre>\n</div>\n\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[4]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"n\">In</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[4]:</div>\n\n\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/plain\">\n<pre>[&#39;&#39;, &#39;3 * 3&#39;, &#39;In[1]&#39;, &#39;Out[1]&#39;, &#39;In&#39;]</pre>\n</div>\n\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[5]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"n\">Out</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[5]:</div>\n\n\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/plain\">\n<pre>{1: 9, 2: &#39;3 * 3&#39;, 3: 9, 4: [&#39;&#39;, &#39;3 * 3&#39;, &#39;In[1]&#39;, &#39;Out[1]&#39;, &#39;In&#39;, &#39;Out&#39;]}</pre>\n</div>\n\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[6]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"mi\">1</span><span class=\"o\">+</span><span class=\"mi\">2</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[6]:</div>\n\n\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/plain\">\n<pre>3</pre>\n</div>\n\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[7]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"mi\">1</span><span class=\"o\">+</span><span class=\"mi\">2</span><span class=\"p\">;</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[8]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"n\">x</span> <span class=\"o\">=</span> <span class=\"mi\">1</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[9]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"n\">x</span> <span class=\"o\">=</span> <span class=\"mi\">2</span><span class=\"p\">;</span> <span class=\"n\">x</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[9]:</div>\n\n\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/plain\">\n<pre>2</pre>\n</div>\n\n</div>\n\n</div>\n\n</div>\n\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput \" data-mime-type=\"text/markdown\">\n<h2 id=\"Documentation\">Documentation<a class=\"anchor-link\" href=\"#Documentation\">&#182;</a></h2>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[10]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"kn\">import</span> <span class=\"nn\">os</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[11]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"c1\"># try os.w&lt;TAB&gt;</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[12]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"kn\">import</span> <span class=\"nn\">math</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[13]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span>math.cos<span class=\"o\">?</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n\n\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output \" data-mime-type=\"text/plain\">\n<pre><span class=\"ansi-red-fg\">Signature:</span> math<span class=\"ansi-blue-fg\">.</span>cos<span class=\"ansi-blue-fg\">(</span>x<span class=\"ansi-blue-fg\">,</span> <span class=\"ansi-blue-fg\">/</span><span class=\"ansi-blue-fg\">)</span>\n<span class=\"ansi-red-fg\">Docstring:</span> Return the cosine of x (measured in radians).\n<span class=\"ansi-red-fg\">Type:</span>      builtin_function_or_method</pre>\n</div>\n\n</div>\n\n</div>\n\n</div>\n\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput \" data-mime-type=\"text/markdown\">\n<h2 id=\"Interaction-with-System-Shell\">Interaction with System Shell<a class=\"anchor-link\" href=\"#Interaction-with-System-Shell\">&#182;</a></h2>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[14]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"o\">!</span>touch<span class=\"w\"> </span>file1.py<span class=\"w\"> </span>file2.py<span class=\"w\"> </span>file3.py\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[15]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"o\">!</span>ls<span class=\"w\"> </span>file*\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\">\n<pre>file1.py file2.py file3.py\n</pre>\n</div>\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[16]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"n\">files</span> <span class=\"o\">=</span> <span class=\"o\">!</span>ls<span class=\"w\"> </span>file*\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[17]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"nb\">len</span><span class=\"p\">(</span><span class=\"n\">files</span><span class=\"p\">)</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[17]:</div>\n\n\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/plain\">\n<pre>3</pre>\n</div>\n\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[18]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"n\">files</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[18]:</div>\n\n\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/plain\">\n<pre>[&#39;file1.py&#39;, &#39;file2.py&#39;, &#39;file3.py&#39;]</pre>\n</div>\n\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[19]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"n\">file</span> <span class=\"o\">=</span> <span class=\"s2\">\"file1.py\"</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[20]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"o\">!</span>ls<span class=\"w\"> </span>-l<span class=\"w\"> </span><span class=\"nv\">$file</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\">\n<pre>-rw-------@ 1 rob  staff  0 Nov  2 17:58 file1.py\n</pre>\n</div>\n</div>\n\n</div>\n\n</div>\n\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput \" data-mime-type=\"text/markdown\">\n<h2 id=\"Running-scripts-from-the-IPython-console\">Running scripts from the IPython console<a class=\"anchor-link\" href=\"#Running-scripts-from-the-IPython-console\">&#182;</a></h2>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[21]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"o\">%%writefile</span> fib.py\n\n<span class=\"k\">def</span> <span class=\"nf\">fib</span><span class=\"p\">(</span><span class=\"n\">N</span><span class=\"p\">):</span> \n<span class=\"w\">    </span><span class=\"sd\">\"\"\" </span>\n<span class=\"sd\">    Return a list of the first N Fibonacci numbers.</span>\n<span class=\"sd\">    \"\"\"</span> \n    <span class=\"n\">f0</span><span class=\"p\">,</span> <span class=\"n\">f1</span> <span class=\"o\">=</span> <span class=\"mi\">0</span><span class=\"p\">,</span> <span class=\"mi\">1</span>\n    <span class=\"n\">f</span> <span class=\"o\">=</span> <span class=\"p\">[</span><span class=\"mi\">1</span><span class=\"p\">]</span> <span class=\"o\">*</span> <span class=\"n\">N</span>\n    <span class=\"k\">for</span> <span class=\"n\">n</span> <span class=\"ow\">in</span> <span class=\"nb\">range</span><span class=\"p\">(</span><span class=\"mi\">1</span><span class=\"p\">,</span> <span class=\"n\">N</span><span class=\"p\">):</span>\n        <span class=\"n\">f</span><span class=\"p\">[</span><span class=\"n\">n</span><span class=\"p\">]</span> <span class=\"o\">=</span> <span class=\"n\">f0</span> <span class=\"o\">+</span> <span class=\"n\">f1</span>\n        <span class=\"n\">f0</span><span class=\"p\">,</span> <span class=\"n\">f1</span> <span class=\"o\">=</span> <span class=\"n\">f1</span><span class=\"p\">,</span> <span class=\"n\">f</span><span class=\"p\">[</span><span class=\"n\">n</span><span class=\"p\">]</span>\n\n    <span class=\"k\">return</span> <span class=\"n\">f</span>\n\n<span class=\"nb\">print</span><span class=\"p\">(</span><span class=\"n\">fib</span><span class=\"p\">(</span><span class=\"mi\">10</span><span class=\"p\">))</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\">\n<pre>Overwriting fib.py\n</pre>\n</div>\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[22]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"o\">!</span>python<span class=\"w\"> </span>fib.py\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\">\n<pre>[1, 1, 2, 3, 5, 8, 13, 21, 34, 55]\n</pre>\n</div>\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[23]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"o\">%</span><span class=\"k\">run</span> fib.py\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\">\n<pre>[1, 1, 2, 3, 5, 8, 13, 21, 34, 55]\n</pre>\n</div>\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[24]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"n\">fib</span><span class=\"p\">(</span><span class=\"mi\">6</span><span class=\"p\">)</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[24]:</div>\n\n\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/plain\">\n<pre>[1, 1, 2, 3, 5, 8]</pre>\n</div>\n\n</div>\n\n</div>\n\n</div>\n\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput \" data-mime-type=\"text/markdown\">\n<h2 id=\"Debugger\">Debugger<a class=\"anchor-link\" href=\"#Debugger\">&#182;</a></h2>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[25]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"n\">fib</span><span class=\"p\">(</span><span class=\"mf\">1.0</span><span class=\"p\">)</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"application/vnd.jupyter.stderr\">\n<pre>\n<span class=\"ansi-red-fg\">---------------------------------------------------------------------------</span>\n<span class=\"ansi-red-fg\">TypeError</span>                                 Traceback (most recent call last)\nCell <span class=\"ansi-green-fg\">In[25], line 1</span>\n<span class=\"ansi-green-fg\">----&gt; 1</span> <span class=\"ansi-yellow-bg\">fib</span><span class=\"ansi-yellow-bg\">(</span><span class=\"ansi-yellow-bg\" style=\"color: rgb(98,98,98)\">1.0</span><span class=\"ansi-yellow-bg\">)</span>\n\nFile <span class=\"ansi-green-fg\">~/OneDrive/Desktop/npbook-ed3/code/numerical-python-code-ed3-v2-github/fib.py:7</span>, in <span class=\"ansi-cyan-fg\">fib</span><span class=\"ansi-blue-fg\">(N)</span>\n<span class=\"ansi-green-intense-fg ansi-bold\">      3</span> <span style=\"color: rgb(175,0,0)\">&#34;&#34;&#34; </span>\n<span class=\"ansi-green-intense-fg ansi-bold\">      4</span> <span style=\"color: rgb(175,0,0)\">Return a list of the first N Fibonacci numbers.</span>\n<span class=\"ansi-green-intense-fg ansi-bold\">      5</span> <span style=\"color: rgb(175,0,0)\">&#34;&#34;&#34;</span> \n<span class=\"ansi-green-intense-fg ansi-bold\">      6</span> f0, f1 <span style=\"color: rgb(98,98,98)\">=</span> <span style=\"color: rgb(98,98,98)\">0</span>, <span style=\"color: rgb(98,98,98)\">1</span>\n<span class=\"ansi-green-fg\">----&gt; 7</span> f <span style=\"color: rgb(98,98,98)\">=</span> <span class=\"ansi-yellow-bg\">[</span><span class=\"ansi-yellow-bg\" style=\"color: rgb(98,98,98)\">1</span><span class=\"ansi-yellow-bg\">]</span><span class=\"ansi-yellow-bg\"> </span><span class=\"ansi-yellow-bg\" style=\"color: rgb(98,98,98)\">*</span><span class=\"ansi-yellow-bg\"> </span><span class=\"ansi-yellow-bg\">N</span>\n<span class=\"ansi-green-intense-fg ansi-bold\">      8</span> <span class=\"ansi-bold\" style=\"color: rgb(0,135,0)\">for</span> n <span class=\"ansi-bold\" style=\"color: rgb(175,0,255)\">in</span> <span style=\"color: rgb(0,135,0)\">range</span>(<span style=\"color: rgb(98,98,98)\">1</span>, N):\n<span class=\"ansi-green-intense-fg ansi-bold\">      9</span>     f[n] <span style=\"color: rgb(98,98,98)\">=</span> f0 <span style=\"color: rgb(98,98,98)\">+</span> f1\n\n<span class=\"ansi-red-fg\">TypeError</span>: can&#39;t multiply sequence by non-int of type &#39;float&#39;</pre>\n</div>\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[&nbsp;]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"o\">%</span><span class=\"k\">debug</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\">\n<pre>&gt; <span class=\"ansi-green-fg\">/Users/rob/OneDrive/Desktop/npbook-ed3/code/numerical-python-code-ed3-v2-github/fib.py</span>(7)<span class=\"ansi-cyan-fg\">fib</span><span class=\"ansi-blue-fg\">()</span>\n<span class=\"ansi-green-fg\">      5 </span><span class=\"ansi-red-fg\">    &#34;&#34;&#34; \n</span><span class=\"ansi-green-fg\">      6 </span><span class=\"ansi-red-fg\">    </span>f0<span class=\"ansi-blue-fg\">,</span> f1 <span class=\"ansi-blue-fg\">=</span> <span class=\"ansi-cyan-fg\">0</span><span class=\"ansi-blue-fg\">,</span> <span class=\"ansi-cyan-fg\">1</span>\n<span class=\"ansi-green-fg\">----&gt; 7 </span><span class=\"ansi-red-fg\">    </span>f <span class=\"ansi-blue-fg\">=</span> <span class=\"ansi-blue-fg\">[</span><span class=\"ansi-cyan-fg\">1</span><span class=\"ansi-blue-fg\">]</span> <span class=\"ansi-blue-fg\">*</span> N\n<span class=\"ansi-green-fg\">      8 </span><span class=\"ansi-red-fg\">    </span><span class=\"ansi-green-fg\">for</span> n <span class=\"ansi-green-fg\">in</span> range<span class=\"ansi-blue-fg\">(</span><span class=\"ansi-cyan-fg\">1</span><span class=\"ansi-blue-fg\">,</span> N<span class=\"ansi-blue-fg\">)</span><span class=\"ansi-blue-fg\">:</span>\n<span class=\"ansi-green-fg\">      9 </span><span class=\"ansi-red-fg\">        </span>f<span class=\"ansi-blue-fg\">[</span>n<span class=\"ansi-blue-fg\">]</span> <span class=\"ansi-blue-fg\">=</span> f0 <span class=\"ansi-blue-fg\">+</span> f1\n\n</pre>\n</div>\n</div>\n\n</div>\n\n</div>\n\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput \" data-mime-type=\"text/markdown\">\n<h2 id=\"Timing-and-profiling-code\">Timing and profiling code<a class=\"anchor-link\" href=\"#Timing-and-profiling-code\">&#182;</a></h2>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[27]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"o\">%</span><span class=\"k\">timeit</span> fib(100)\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\">\n<pre>11.5 µs ± 140 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)\n</pre>\n</div>\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[28]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"n\">result</span> <span class=\"o\">=</span> <span class=\"o\">%</span><span class=\"k\">time</span> fib(100)\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\">\n<pre>CPU times: user 27 µs, sys: 1 µs, total: 28 µs\nWall time: 33.1 µs\n</pre>\n</div>\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[29]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"nb\">len</span><span class=\"p\">(</span><span class=\"n\">result</span><span class=\"p\">)</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[29]:</div>\n\n\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/plain\">\n<pre>100</pre>\n</div>\n\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[30]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"kn\">import</span> <span class=\"nn\">numpy</span> <span class=\"k\">as</span> <span class=\"nn\">np</span>\n\n<span class=\"k\">def</span> <span class=\"nf\">random_walker_max_distance</span><span class=\"p\">(</span><span class=\"n\">M</span><span class=\"p\">,</span> <span class=\"n\">N</span><span class=\"p\">):</span>\n<span class=\"w\">    </span><span class=\"sd\">\"\"\"</span>\n<span class=\"sd\">    Simulate N random walkers taking M steps, and return the largest distance</span>\n<span class=\"sd\">    from the starting point achieved by any of the random walkers.</span>\n<span class=\"sd\">    \"\"\"</span>\n    <span class=\"n\">trajectories</span> <span class=\"o\">=</span> <span class=\"p\">[</span><span class=\"n\">np</span><span class=\"o\">.</span><span class=\"n\">random</span><span class=\"o\">.</span><span class=\"n\">randn</span><span class=\"p\">(</span><span class=\"n\">M</span><span class=\"p\">)</span><span class=\"o\">.</span><span class=\"n\">cumsum</span><span class=\"p\">()</span> <span class=\"k\">for</span> <span class=\"n\">_</span> <span class=\"ow\">in</span> <span class=\"nb\">range</span><span class=\"p\">(</span><span class=\"n\">N</span><span class=\"p\">)]</span>\n    <span class=\"k\">return</span> <span class=\"n\">np</span><span class=\"o\">.</span><span class=\"n\">max</span><span class=\"p\">(</span><span class=\"n\">np</span><span class=\"o\">.</span><span class=\"n\">abs</span><span class=\"p\">(</span><span class=\"n\">trajectories</span><span class=\"p\">))</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[31]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"o\">%</span><span class=\"k\">prun</span> random_walker_max_distance(400, 10000)\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\">\n<pre> </pre>\n</div>\n</div>\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n\n\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output \" data-mime-type=\"text/plain\">\n<pre>         20011 function calls in 0.336 seconds\n\n   Ordered by: internal time\n\n   ncalls  tottime  percall  cumtime  percall filename:lineno(function)\n    10000    0.189    0.000    0.189    0.000 {method &#39;randn&#39; of &#39;numpy.random.mtrand.RandomState&#39; objects}\n    10000    0.070    0.000    0.070    0.000 {method &#39;cumsum&#39; of &#39;numpy.ndarray&#39; objects}\n        1    0.047    0.047    0.330    0.330 2615584822.py:3(random_walker_max_distance)\n        1    0.020    0.020    0.279    0.279 2615584822.py:8(&lt;listcomp&gt;)\n        1    0.007    0.007    0.336    0.336 &lt;string&gt;:1(&lt;module&gt;)\n        1    0.004    0.004    0.004    0.004 {method &#39;reduce&#39; of &#39;numpy.ufunc&#39; objects}\n        1    0.000    0.000    0.336    0.336 {built-in method builtins.exec}\n        1    0.000    0.000    0.004    0.004 fromnumeric.py:71(_wrapreduction)\n        1    0.000    0.000    0.004    0.004 fromnumeric.py:2692(max)\n        1    0.000    0.000    0.000    0.000 fromnumeric.py:72(&lt;dictcomp&gt;)\n        1    0.000    0.000    0.000    0.000 fromnumeric.py:2687(_max_dispatcher)\n        1    0.000    0.000    0.000    0.000 {method &#39;disable&#39; of &#39;_lsprof.Profiler&#39; objects}\n        1    0.000    0.000    0.000    0.000 {method &#39;items&#39; of &#39;dict&#39; objects}</pre>\n</div>\n\n</div>\n\n</div>\n\n</div>\n\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput \" data-mime-type=\"text/markdown\">\n<h2 id=\"Jupyter-notebook\">Jupyter notebook<a class=\"anchor-link\" href=\"#Jupyter-notebook\">&#182;</a></h2>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[32]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"kn\">from</span> <span class=\"nn\">IPython.display</span> <span class=\"kn\">import</span> <span class=\"n\">display</span><span class=\"p\">,</span> <span class=\"n\">Image</span><span class=\"p\">,</span> <span class=\"n\">HTML</span><span class=\"p\">,</span> <span class=\"n\">Math</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[33]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"n\">Image</span><span class=\"p\">(</span><span class=\"n\">url</span><span class=\"o\">=</span><span class=\"s1\">'http://python.org/images/python-logo.gif'</span><span class=\"p\">)</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[33]:</div>\n\n\n\n<div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/html\">\n<img src=\"http://python.org/images/python-logo.gif\"/>\n</div>\n\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[34]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"kn\">import</span> <span class=\"nn\">scipy</span><span class=\"o\">,</span> <span class=\"nn\">numpy</span><span class=\"o\">,</span> <span class=\"nn\">matplotlib</span>\n<span class=\"n\">modules</span> <span class=\"o\">=</span> <span class=\"p\">[</span><span class=\"n\">numpy</span><span class=\"p\">,</span> <span class=\"n\">matplotlib</span><span class=\"p\">,</span> <span class=\"n\">scipy</span><span class=\"p\">]</span>\n<span class=\"n\">row</span> <span class=\"o\">=</span> <span class=\"s2\">\"&lt;tr&gt; &lt;td&gt;</span><span class=\"si\">%s</span><span class=\"s2\">&lt;/td&gt; &lt;td&gt;</span><span class=\"si\">%s</span><span class=\"s2\">&lt;/td&gt; &lt;/tr&gt;\"</span>\n<span class=\"n\">rows</span> <span class=\"o\">=</span> <span class=\"s2\">\"</span><span class=\"se\">\\n</span><span class=\"s2\">\"</span><span class=\"o\">.</span><span class=\"n\">join</span><span class=\"p\">([</span><span class=\"n\">row</span> <span class=\"o\">%</span> <span class=\"p\">(</span><span class=\"n\">module</span><span class=\"o\">.</span><span class=\"vm\">__name__</span><span class=\"p\">,</span> <span class=\"n\">module</span><span class=\"o\">.</span><span class=\"n\">__version__</span><span class=\"p\">)</span> <span class=\"k\">for</span> <span class=\"n\">module</span> <span class=\"ow\">in</span> <span class=\"n\">modules</span><span class=\"p\">])</span>\n<span class=\"n\">s</span> <span class=\"o\">=</span> <span class=\"s2\">\"&lt;table&gt; &lt;tr&gt;&lt;th&gt;Library&lt;/th&gt;&lt;th&gt;Version&lt;/th&gt; &lt;/tr&gt; </span><span class=\"si\">%s</span><span class=\"s2\">&lt;/table&gt;\"</span> <span class=\"o\">%</span> <span class=\"n\">rows</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[35]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"n\">s</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[35]:</div>\n\n\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/plain\">\n<pre>&#39;&lt;table&gt; &lt;tr&gt;&lt;th&gt;Library&lt;/th&gt;&lt;th&gt;Version&lt;/th&gt; &lt;/tr&gt; &lt;tr&gt; &lt;td&gt;numpy&lt;/td&gt; &lt;td&gt;1.25.2&lt;/td&gt; &lt;/tr&gt;\\n&lt;tr&gt; &lt;td&gt;matplotlib&lt;/td&gt; &lt;td&gt;3.8.0&lt;/td&gt; &lt;/tr&gt;\\n&lt;tr&gt; &lt;td&gt;scipy&lt;/td&gt; &lt;td&gt;1.11.3&lt;/td&gt; &lt;/tr&gt;&lt;/table&gt;&#39;</pre>\n</div>\n\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[36]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"n\">HTML</span><span class=\"p\">(</span><span class=\"n\">s</span><span class=\"p\">)</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[36]:</div>\n\n\n\n<div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/html\">\n<table> <tr><th>Library</th><th>Version</th> </tr> <tr> <td>numpy</td> <td>1.25.2</td> </tr>\n<tr> <td>matplotlib</td> <td>3.8.0</td> </tr>\n<tr> <td>scipy</td> <td>1.11.3</td> </tr></table>\n</div>\n\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[37]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"k\">class</span> <span class=\"nc\">HTMLDisplayer</span><span class=\"p\">(</span><span class=\"nb\">object</span><span class=\"p\">):</span>\n    <span class=\"k\">def</span> <span class=\"fm\">__init__</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">code</span><span class=\"p\">):</span>\n        <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">code</span> <span class=\"o\">=</span> <span class=\"n\">code</span>\n    \n    <span class=\"k\">def</span> <span class=\"nf\">_repr_html_</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">):</span>\n        <span class=\"k\">return</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">code</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[38]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"n\">HTMLDisplayer</span><span class=\"p\">(</span><span class=\"n\">s</span><span class=\"p\">)</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[38]:</div>\n\n\n\n<div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/html\">\n<table> <tr><th>Library</th><th>Version</th> </tr> <tr> <td>numpy</td> <td>1.25.2</td> </tr>\n<tr> <td>matplotlib</td> <td>3.8.0</td> </tr>\n<tr> <td>scipy</td> <td>1.11.3</td> </tr></table>\n</div>\n\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[39]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"n\">Math</span><span class=\"p\">(</span><span class=\"sa\">r</span><span class=\"s1\">'\\hat</span><span class=\"si\">{H}</span><span class=\"s1\"> = -\\frac</span><span class=\"si\">{1}{2}</span><span class=\"s1\">\\epsilon \\hat{\\sigma}_z-\\frac</span><span class=\"si\">{1}{2}</span><span class=\"s1\">\\delta \\hat{\\sigma}_x'</span><span class=\"p\">)</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[39]:</div>\n\n\n\n\n<div class=\"jp-RenderedLatex jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/latex\">\n$\\displaystyle \\hat{H} = -\\frac{1}{2}\\epsilon \\hat{\\sigma}_z-\\frac{1}{2}\\delta \\hat{\\sigma}_x$\n</div>\n\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[40]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"k\">class</span> <span class=\"nc\">QubitHamiltonian</span><span class=\"p\">(</span><span class=\"nb\">object</span><span class=\"p\">):</span>\n    <span class=\"k\">def</span> <span class=\"fm\">__init__</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">,</span> <span class=\"n\">epsilon</span><span class=\"p\">,</span> <span class=\"n\">delta</span><span class=\"p\">):</span>\n        <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">epsilon</span> <span class=\"o\">=</span> <span class=\"n\">epsilon</span>\n        <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">delta</span> <span class=\"o\">=</span> <span class=\"n\">delta</span>\n\n    <span class=\"k\">def</span> <span class=\"nf\">_repr_latex_</span><span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"p\">):</span>\n        <span class=\"k\">return</span> <span class=\"s2\">\"$\\hat</span><span class=\"si\">{H}</span><span class=\"s2\"> = -</span><span class=\"si\">%.2f</span><span class=\"s2\">\\hat{\\sigma}_z-</span><span class=\"si\">%.2f</span><span class=\"s2\">\\hat{\\sigma}_x$\"</span> <span class=\"o\">%</span> \\\n            <span class=\"p\">(</span><span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">epsilon</span><span class=\"o\">/</span><span class=\"mi\">2</span><span class=\"p\">,</span> <span class=\"bp\">self</span><span class=\"o\">.</span><span class=\"n\">delta</span><span class=\"o\">/</span><span class=\"mi\">2</span><span class=\"p\">)</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[41]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"n\">QubitHamiltonian</span><span class=\"p\">(</span><span class=\"mf\">0.5</span><span class=\"p\">,</span> <span class=\"mf\">0.25</span><span class=\"p\">)</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[41]:</div>\n\n\n\n\n<div class=\"jp-RenderedLatex jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/latex\">\n$\\hat{H} = -0.25\\hat{\\sigma}_z-0.12\\hat{\\sigma}_x$\n</div>\n\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[42]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"kn\">import</span> <span class=\"nn\">matplotlib.pyplot</span> <span class=\"k\">as</span> <span class=\"nn\">plt</span>\n<span class=\"kn\">import</span> <span class=\"nn\">numpy</span> <span class=\"k\">as</span> <span class=\"nn\">np</span>\n<span class=\"kn\">from</span> <span class=\"nn\">scipy</span> <span class=\"kn\">import</span> <span class=\"n\">stats</span>\n\n<span class=\"k\">def</span> <span class=\"nf\">f</span><span class=\"p\">(</span><span class=\"n\">mu</span><span class=\"p\">):</span>\n    <span class=\"n\">X</span> <span class=\"o\">=</span> <span class=\"n\">stats</span><span class=\"o\">.</span><span class=\"n\">norm</span><span class=\"p\">(</span><span class=\"n\">loc</span><span class=\"o\">=</span><span class=\"n\">mu</span><span class=\"p\">,</span> <span class=\"n\">scale</span><span class=\"o\">=</span><span class=\"n\">np</span><span class=\"o\">.</span><span class=\"n\">sqrt</span><span class=\"p\">(</span><span class=\"n\">mu</span><span class=\"p\">))</span>\n    <span class=\"n\">N</span> <span class=\"o\">=</span> <span class=\"n\">stats</span><span class=\"o\">.</span><span class=\"n\">poisson</span><span class=\"p\">(</span><span class=\"n\">mu</span><span class=\"p\">)</span>\n    <span class=\"n\">x</span> <span class=\"o\">=</span> <span class=\"n\">np</span><span class=\"o\">.</span><span class=\"n\">linspace</span><span class=\"p\">(</span><span class=\"mi\">0</span><span class=\"p\">,</span> <span class=\"n\">X</span><span class=\"o\">.</span><span class=\"n\">ppf</span><span class=\"p\">(</span><span class=\"mf\">0.999</span><span class=\"p\">))</span>\n    <span class=\"n\">n</span> <span class=\"o\">=</span> <span class=\"n\">np</span><span class=\"o\">.</span><span class=\"n\">arange</span><span class=\"p\">(</span><span class=\"mi\">0</span><span class=\"p\">,</span> <span class=\"n\">x</span><span class=\"p\">[</span><span class=\"o\">-</span><span class=\"mi\">1</span><span class=\"p\">])</span>\n\n    <span class=\"n\">fig</span><span class=\"p\">,</span> <span class=\"n\">ax</span> <span class=\"o\">=</span> <span class=\"n\">plt</span><span class=\"o\">.</span><span class=\"n\">subplots</span><span class=\"p\">()</span>\n    <span class=\"n\">ax</span><span class=\"o\">.</span><span class=\"n\">plot</span><span class=\"p\">(</span><span class=\"n\">x</span><span class=\"p\">,</span> <span class=\"n\">X</span><span class=\"o\">.</span><span class=\"n\">pdf</span><span class=\"p\">(</span><span class=\"n\">x</span><span class=\"p\">),</span> <span class=\"n\">color</span><span class=\"o\">=</span><span class=\"s1\">'black'</span><span class=\"p\">,</span> <span class=\"n\">lw</span><span class=\"o\">=</span><span class=\"mi\">2</span><span class=\"p\">,</span> <span class=\"n\">label</span><span class=\"o\">=</span><span class=\"s2\">\"Normal($\\mu=</span><span class=\"si\">%d</span><span class=\"s2\">, \\sigma^2=</span><span class=\"si\">%d</span><span class=\"s2\">$)\"</span> <span class=\"o\">%</span> <span class=\"p\">(</span><span class=\"n\">mu</span><span class=\"p\">,</span> <span class=\"n\">mu</span><span class=\"p\">))</span>\n    <span class=\"n\">ax</span><span class=\"o\">.</span><span class=\"n\">bar</span><span class=\"p\">(</span><span class=\"n\">n</span><span class=\"p\">,</span> <span class=\"n\">N</span><span class=\"o\">.</span><span class=\"n\">pmf</span><span class=\"p\">(</span><span class=\"n\">n</span><span class=\"p\">),</span> <span class=\"n\">align</span><span class=\"o\">=</span><span class=\"s1\">'edge'</span><span class=\"p\">,</span> <span class=\"n\">label</span><span class=\"o\">=</span><span class=\"sa\">r</span><span class=\"s2\">\"Poisson($\\lambda=</span><span class=\"si\">%d</span><span class=\"s2\">$)\"</span> <span class=\"o\">%</span> <span class=\"n\">mu</span><span class=\"p\">)</span>\n    <span class=\"n\">ax</span><span class=\"o\">.</span><span class=\"n\">set_ylim</span><span class=\"p\">(</span><span class=\"mi\">0</span><span class=\"p\">,</span> <span class=\"n\">X</span><span class=\"o\">.</span><span class=\"n\">pdf</span><span class=\"p\">(</span><span class=\"n\">x</span><span class=\"p\">)</span><span class=\"o\">.</span><span class=\"n\">max</span><span class=\"p\">()</span> <span class=\"o\">*</span> <span class=\"mf\">1.25</span><span class=\"p\">)</span>\n    <span class=\"n\">ax</span><span class=\"o\">.</span><span class=\"n\">legend</span><span class=\"p\">(</span><span class=\"n\">loc</span><span class=\"o\">=</span><span class=\"mi\">2</span><span class=\"p\">,</span> <span class=\"n\">ncol</span><span class=\"o\">=</span><span class=\"mi\">2</span><span class=\"p\">)</span>\n    <span class=\"n\">plt</span><span class=\"o\">.</span><span class=\"n\">close</span><span class=\"p\">(</span><span class=\"n\">fig</span><span class=\"p\">)</span>\n    <span class=\"k\">return</span> <span class=\"n\">fig</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[44]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"kn\">from</span> <span class=\"nn\">ipywidgets</span> <span class=\"kn\">import</span> <span class=\"n\">interact</span>\n<span class=\"kn\">import</span> <span class=\"nn\">ipywidgets</span> <span class=\"k\">as</span> <span class=\"nn\">widgets</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[45]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"n\">interact</span><span class=\"p\">(</span><span class=\"n\">f</span><span class=\"p\">,</span> <span class=\"n\">mu</span><span class=\"o\">=</span><span class=\"n\">widgets</span><span class=\"o\">.</span><span class=\"n\">FloatSlider</span><span class=\"p\">(</span><span class=\"nb\">min</span><span class=\"o\">=</span><span class=\"mf\">1.0</span><span class=\"p\">,</span> <span class=\"nb\">max</span><span class=\"o\">=</span><span class=\"mf\">20.0</span><span class=\"p\">,</span> <span class=\"n\">step</span><span class=\"o\">=</span><span class=\"mf\">1.0</span><span class=\"p\">));</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n\n\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output \" data-mime-type=\"text/plain\">\n<pre>interactive(children=(FloatSlider(value=1.0, description=&#39;mu&#39;, max=20.0, min=1.0, step=1.0), Output()), _dom_c…</pre>\n</div>\n\n</div>\n\n</div>\n\n</div>\n\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput \" data-mime-type=\"text/markdown\">\n<h2 id=\"Jupyter-nbconvert\">Jupyter nbconvert<a class=\"anchor-link\" href=\"#Jupyter-nbconvert\">&#182;</a></h2>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[2]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"o\">!</span>jupyter<span class=\"w\"> </span>nbconvert<span class=\"w\"> </span>--to<span class=\"w\"> </span>html<span class=\"w\"> </span>ch01-code-listing.ipynb\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\">\n<pre>[NbConvertApp] Converting notebook ch01-code-listing.ipynb to html\n[NbConvertApp] WARNING | Alternative text is missing on 1 image(s).\n[NbConvertApp] Writing 341393 bytes to ch01-code-listing.html\n</pre>\n</div>\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[2]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"o\">!</span>jupyter<span class=\"w\"> </span>nbconvert<span class=\"w\"> </span>--to<span class=\"w\"> </span>pdf<span class=\"w\"> </span>ch01-code-listing.ipynb\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\">\n<pre>[NbConvertApp] Converting notebook ch01-code-listing.ipynb to pdf\n/Users/rob/miniconda3/envs/py3.10/lib/python3.10/site-packages/nbconvert/utils/pandoc.py:51: RuntimeWarning: You are using an unsupported version of pandoc (2.12).\nYour version must be at least (2.14.2) but less than (4.0.0).\nRefer to https://pandoc.org/installing.html.\nContinuing with doubts...\n  check_pandoc_version()\n[NbConvertApp] Writing 61299 bytes to notebook.tex\n[NbConvertApp] Building PDF\n[NbConvertApp] Running xelatex 3 times: [&#39;xelatex&#39;, &#39;notebook.tex&#39;, &#39;-quiet&#39;]\n[NbConvertApp] Running bibtex 1 time: [&#39;bibtex&#39;, &#39;notebook&#39;]\n[NbConvertApp] WARNING | bibtex had problems, most likely because there were no citations\n[NbConvertApp] PDF successfully created\n[NbConvertApp] Writing 64876 bytes to ch01-code-listing.pdf\n</pre>\n</div>\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[8]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"o\">%%writefile</span> custom_template.tplx\n<span class=\"p\">((</span><span class=\"o\">*-</span> <span class=\"n\">extends</span> <span class=\"s1\">'article.tplx'</span> <span class=\"o\">-*</span><span class=\"p\">))</span>\n\n<span class=\"p\">((</span><span class=\"o\">*</span> <span class=\"n\">block</span> <span class=\"n\">title</span> <span class=\"o\">*</span><span class=\"p\">))</span> \\<span class=\"n\">title</span><span class=\"p\">{</span><span class=\"n\">Document</span> <span class=\"n\">title</span><span class=\"p\">}</span> <span class=\"p\">((</span><span class=\"o\">*</span> <span class=\"n\">endblock</span> <span class=\"n\">title</span> <span class=\"o\">*</span><span class=\"p\">))</span>\n<span class=\"p\">((</span><span class=\"o\">*</span> <span class=\"n\">block</span> <span class=\"n\">author</span> <span class=\"o\">*</span><span class=\"p\">))</span> \\<span class=\"n\">author</span><span class=\"p\">{</span><span class=\"n\">Author</span><span class=\"s1\">'s Name} ((* endblock author *))</span>\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\">\n<pre>Overwriting custom_template.tplx\n</pre>\n</div>\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[&nbsp;]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"o\">!</span>jupyter<span class=\"w\"> </span>nbconvert<span class=\"w\"> </span>ch01-code-listing.ipynb<span class=\"w\"> </span>--to<span class=\"w\"> </span>pdf<span class=\"w\"> </span>--template<span class=\"w\"> </span>custom_template.tplx\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[11]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"o\">!</span>jupyter<span class=\"w\"> </span>nbconvert<span class=\"w\"> </span>ch01-code-listing.ipynb<span class=\"w\"> </span>--to<span class=\"w\"> </span>python\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n\n\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\">\n<pre>[NbConvertApp] Converting notebook ch01-code-listing.ipynb to python\n[NbConvertApp] Writing 5142 bytes to ch01-code-listing.py\n</pre>\n</div>\n</div>\n\n</div>\n\n</div>\n\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput \" data-mime-type=\"text/markdown\">\n<h1 id=\"Versions\">Versions<a class=\"anchor-link\" href=\"#Versions\">&#182;</a></h1>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell   \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[1]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span><span class=\"o\">%</span><span class=\"k\">reload_ext</span> version_information\n<span class=\"o\">%</span><span class=\"k\">version_information</span> numpy\n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n\n\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n\n<div class=\"jp-OutputArea-child\">\n\n    \n    <div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[1]:</div>\n\n\n\n<div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/html\">\n<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.10.13 64bit [Clang 14.0.6 ]</td></tr><tr><td>IPython</td><td>8.20.0</td></tr><tr><td>OS</td><td>macOS 10.15.7 x86\\_64 i386 64bit</td></tr><tr><td>numpy</td><td>1.24.3</td></tr><tr><td colspan='2'>Mon May 06 14:29:51 2024 JST</td></tr></table>\n</div>\n\n</div>\n\n</div>\n\n</div>\n\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs  \">\n<div class=\"jp-Cell-inputWrapper\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In&nbsp;[&nbsp;]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n     <div class=\"CodeMirror cm-s-jupyter\">\n<div class=\" highlight hl-ipython3\"><pre><span></span> \n</pre></div>\n\n     </div>\n</div>\n</div>\n</div>\n\n</div>\n</body>\n\n\n\n\n\n\n\n</html>\n"
  },
  {
    "path": "ch01-code-listing.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Chapter 1: Computing with Python\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Interpreter\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Overwriting hello.py\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%%writefile hello.py\\n\",\n    \"print(\\\"Hello from Python!\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Hello from Python!\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!python hello.py\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Python 3.10.12\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!python --version\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Input and output caching\\n\",\n    \"\\n\",\n    \"(restart the kernel for the same output and cell numbers)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"9\"\n      ]\n     },\n     \"execution_count\": 1,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"3 * 3\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'3 * 3'\"\n      ]\n     },\n     \"execution_count\": 2,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"In[1]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"9\"\n      ]\n     },\n     \"execution_count\": 3,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"Out[1]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['', '3 * 3', 'In[1]', 'Out[1]', 'In']\"\n      ]\n     },\n     \"execution_count\": 4,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"In\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"{1: 9, 2: '3 * 3', 3: 9, 4: ['', '3 * 3', 'In[1]', 'Out[1]', 'In', 'Out']}\"\n      ]\n     },\n     \"execution_count\": 5,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"Out\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"3\"\n      ]\n     },\n     \"execution_count\": 6,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"1+2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"1+2;\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = 1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"2\"\n      ]\n     },\n     \"execution_count\": 9,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x = 2; x\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Documentation\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import os\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# try os.w<TAB>\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import math\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"\\u001b[0;31mSignature:\\u001b[0m \\u001b[0mmath\\u001b[0m\\u001b[0;34m.\\u001b[0m\\u001b[0mcos\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0mx\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0;34m/\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\",\n       \"\\u001b[0;31mDocstring:\\u001b[0m Return the cosine of x (measured in radians).\\n\",\n       \"\\u001b[0;31mType:\\u001b[0m      builtin_function_or_method\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"math.cos?\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Interaction with System Shell\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"!touch file1.py file2.py file3.py\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"file1.py file2.py file3.py\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!ls file*\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"files = !ls file*\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"3\"\n      ]\n     },\n     \"execution_count\": 17,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"len(files)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['file1.py', 'file2.py', 'file3.py']\"\n      ]\n     },\n     \"execution_count\": 18,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"files\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"file = \\\"file1.py\\\"\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"-rw-------@ 1 rob  staff  0 Nov  2 17:58 file1.py\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!ls -l $file\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Running scripts from the IPython console\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Overwriting fib.py\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%%writefile fib.py\\n\",\n    \"\\n\",\n    \"def fib(N): \\n\",\n    \"    \\\"\\\"\\\" \\n\",\n    \"    Return a list of the first N Fibonacci numbers.\\n\",\n    \"    \\\"\\\"\\\" \\n\",\n    \"    f0, f1 = 0, 1\\n\",\n    \"    f = [1] * N\\n\",\n    \"    for n in range(1, N):\\n\",\n    \"        f[n] = f0 + f1\\n\",\n    \"        f0, f1 = f1, f[n]\\n\",\n    \"\\n\",\n    \"    return f\\n\",\n    \"\\n\",\n    \"print(fib(10))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[1, 1, 2, 3, 5, 8, 13, 21, 34, 55]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!python fib.py\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[1, 1, 2, 3, 5, 8, 13, 21, 34, 55]\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%run fib.py\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[1, 1, 2, 3, 5, 8]\"\n      ]\n     },\n     \"execution_count\": 24,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"fib(6)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Debugger\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"ename\": \"TypeError\",\n     \"evalue\": \"can't multiply sequence by non-int of type 'float'\",\n     \"output_type\": \"error\",\n     \"traceback\": [\n      \"\\u001b[0;31m---------------------------------------------------------------------------\\u001b[0m\",\n      \"\\u001b[0;31mTypeError\\u001b[0m                                 Traceback (most recent call last)\",\n      \"Cell \\u001b[0;32mIn[25], line 1\\u001b[0m\\n\\u001b[0;32m----> 1\\u001b[0m \\u001b[43mfib\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[38;5;241;43m1.0\\u001b[39;49m\\u001b[43m)\\u001b[49m\\n\",\n      \"File \\u001b[0;32m~/OneDrive/Desktop/npbook-ed3/code/numerical-python-code-ed3-v2-github/fib.py:7\\u001b[0m, in \\u001b[0;36mfib\\u001b[0;34m(N)\\u001b[0m\\n\\u001b[1;32m      3\\u001b[0m \\u001b[38;5;250m\\u001b[39m\\u001b[38;5;124;03m\\\"\\\"\\\" \\u001b[39;00m\\n\\u001b[1;32m      4\\u001b[0m \\u001b[38;5;124;03mReturn a list of the first N Fibonacci numbers.\\u001b[39;00m\\n\\u001b[1;32m      5\\u001b[0m \\u001b[38;5;124;03m\\\"\\\"\\\"\\u001b[39;00m \\n\\u001b[1;32m      6\\u001b[0m f0, f1 \\u001b[38;5;241m=\\u001b[39m \\u001b[38;5;241m0\\u001b[39m, \\u001b[38;5;241m1\\u001b[39m\\n\\u001b[0;32m----> 7\\u001b[0m f \\u001b[38;5;241m=\\u001b[39m \\u001b[43m[\\u001b[49m\\u001b[38;5;241;43m1\\u001b[39;49m\\u001b[43m]\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43m \\u001b[49m\\u001b[43mN\\u001b[49m\\n\\u001b[1;32m      8\\u001b[0m \\u001b[38;5;28;01mfor\\u001b[39;00m n \\u001b[38;5;129;01min\\u001b[39;00m \\u001b[38;5;28mrange\\u001b[39m(\\u001b[38;5;241m1\\u001b[39m, N):\\n\\u001b[1;32m      9\\u001b[0m     f[n] \\u001b[38;5;241m=\\u001b[39m f0 \\u001b[38;5;241m+\\u001b[39m f1\\n\",\n      \"\\u001b[0;31mTypeError\\u001b[0m: can't multiply sequence by non-int of type 'float'\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"fib(1.0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"> \\u001b[0;32m/Users/rob/OneDrive/Desktop/npbook-ed3/code/numerical-python-code-ed3-v2-github/fib.py\\u001b[0m(7)\\u001b[0;36mfib\\u001b[0;34m()\\u001b[0m\\n\",\n      \"\\u001b[0;32m      5 \\u001b[0;31m    \\\"\\\"\\\" \\n\",\n      \"\\u001b[0m\\u001b[0;32m      6 \\u001b[0;31m    \\u001b[0mf0\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0mf1\\u001b[0m \\u001b[0;34m=\\u001b[0m \\u001b[0;36m0\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0;36m1\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\",\n      \"\\u001b[0m\\u001b[0;32m----> 7 \\u001b[0;31m    \\u001b[0mf\\u001b[0m \\u001b[0;34m=\\u001b[0m \\u001b[0;34m[\\u001b[0m\\u001b[0;36m1\\u001b[0m\\u001b[0;34m]\\u001b[0m \\u001b[0;34m*\\u001b[0m \\u001b[0mN\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\",\n      \"\\u001b[0m\\u001b[0;32m      8 \\u001b[0;31m    \\u001b[0;32mfor\\u001b[0m \\u001b[0mn\\u001b[0m \\u001b[0;32min\\u001b[0m \\u001b[0mrange\\u001b[0m\\u001b[0;34m(\\u001b[0m\\u001b[0;36m1\\u001b[0m\\u001b[0;34m,\\u001b[0m \\u001b[0mN\\u001b[0m\\u001b[0;34m)\\u001b[0m\\u001b[0;34m:\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\",\n      \"\\u001b[0m\\u001b[0;32m      9 \\u001b[0;31m        \\u001b[0mf\\u001b[0m\\u001b[0;34m[\\u001b[0m\\u001b[0mn\\u001b[0m\\u001b[0;34m]\\u001b[0m \\u001b[0;34m=\\u001b[0m \\u001b[0mf0\\u001b[0m \\u001b[0;34m+\\u001b[0m \\u001b[0mf1\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0;34m\\u001b[0m\\u001b[0m\\n\",\n      \"\\u001b[0m\\n\"\n     ]\n    },\n    {\n     \"name\": \"stdin\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"ipdb>  N\\n\"\n     ]\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"1.0\\n\"\n     ]\n    },\n    {\n     \"name\": \"stdin\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"ipdb>  q\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%debug\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Timing and profiling code\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"11.6 µs ± 532 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit fib(100)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"CPU times: user 21 µs, sys: 1 µs, total: 22 µs\\n\",\n      \"Wall time: 24.8 µs\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"result = %time fib(100)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"100\"\n      ]\n     },\n     \"execution_count\": 29,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"len(result)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\\n\",\n    \"\\n\",\n    \"def random_walker_max_distance(M, N):\\n\",\n    \"    \\\"\\\"\\\"\\n\",\n    \"    Simulate N random walkers taking M steps, and return the largest distance\\n\",\n    \"    from the starting point achieved by any of the random walkers.\\n\",\n    \"    \\\"\\\"\\\"\\n\",\n    \"    trajectories = [np.random.randn(M).cumsum() for _ in range(N)]\\n\",\n    \"    return np.max(np.abs(trajectories))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \" \"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"         20013 function calls in 0.335 seconds\\n\",\n       \"\\n\",\n       \"   Ordered by: internal time\\n\",\n       \"\\n\",\n       \"   ncalls  tottime  percall  cumtime  percall filename:lineno(function)\\n\",\n       \"    10000    0.184    0.000    0.184    0.000 {method 'randn' of 'numpy.random.mtrand.RandomState' objects}\\n\",\n       \"    10000    0.071    0.000    0.071    0.000 {method 'cumsum' of 'numpy.ndarray' objects}\\n\",\n       \"        1    0.051    0.051    0.328    0.328 2615584822.py:3(random_walker_max_distance)\\n\",\n       \"        1    0.020    0.020    0.276    0.276 2615584822.py:8(<listcomp>)\\n\",\n       \"        1    0.007    0.007    0.335    0.335 <string>:1(<module>)\\n\",\n       \"        1    0.002    0.002    0.002    0.002 {method 'reduce' of 'numpy.ufunc' objects}\\n\",\n       \"        1    0.000    0.000    0.335    0.335 {built-in method builtins.exec}\\n\",\n       \"        1    0.000    0.000    0.002    0.002 fromnumeric.py:69(_wrapreduction)\\n\",\n       \"        1    0.000    0.000    0.002    0.002 <__array_function__ internals>:177(amax)\\n\",\n       \"        1    0.000    0.000    0.002    0.002 fromnumeric.py:2675(amax)\\n\",\n       \"        1    0.000    0.000    0.002    0.002 {built-in method numpy.core._multiarray_umath.implement_array_function}\\n\",\n       \"        1    0.000    0.000    0.000    0.000 fromnumeric.py:70(<dictcomp>)\\n\",\n       \"        1    0.000    0.000    0.000    0.000 fromnumeric.py:2670(_amax_dispatcher)\\n\",\n       \"        1    0.000    0.000    0.000    0.000 {method 'disable' of '_lsprof.Profiler' objects}\\n\",\n       \"        1    0.000    0.000    0.000    0.000 {method 'items' of 'dict' objects}\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"%prun random_walker_max_distance(400, 10000)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Jupyter notebook\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 32,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from IPython.display import display, Image, HTML, Math\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 33,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<img src=\\\"http://python.org/images/python-logo.gif\\\"/>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.Image object>\"\n      ]\n     },\n     \"execution_count\": 33,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"Image(url='http://python.org/images/python-logo.gif')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 34,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import scipy, numpy, matplotlib\\n\",\n    \"modules = [numpy, matplotlib, scipy]\\n\",\n    \"row = \\\"<tr> <td>%s</td> <td>%s</td> </tr>\\\"\\n\",\n    \"rows = \\\"\\\\n\\\".join([row % (module.__name__, module.__version__) for module in modules])\\n\",\n    \"s = \\\"<table> <tr><th>Library</th><th>Version</th> </tr> %s</table>\\\" % rows\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 35,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'<table> <tr><th>Library</th><th>Version</th> </tr> <tr> <td>numpy</td> <td>1.22.3</td> </tr>\\\\n<tr> <td>matplotlib</td> <td>3.7.1</td> </tr>\\\\n<tr> <td>scipy</td> <td>1.7.3</td> </tr></table>'\"\n      ]\n     },\n     \"execution_count\": 35,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"s\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 36,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<table> <tr><th>Library</th><th>Version</th> </tr> <tr> <td>numpy</td> <td>1.22.3</td> </tr>\\n\",\n       \"<tr> <td>matplotlib</td> <td>3.7.1</td> </tr>\\n\",\n       \"<tr> <td>scipy</td> <td>1.7.3</td> </tr></table>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"execution_count\": 36,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"HTML(s)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 37,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"class HTMLDisplayer(object):\\n\",\n    \"    def __init__(self, code):\\n\",\n    \"        self.code = code\\n\",\n    \"    \\n\",\n    \"    def _repr_html_(self):\\n\",\n    \"        return self.code\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 38,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<table> <tr><th>Library</th><th>Version</th> </tr> <tr> <td>numpy</td> <td>1.22.3</td> </tr>\\n\",\n       \"<tr> <td>matplotlib</td> <td>3.7.1</td> </tr>\\n\",\n       \"<tr> <td>scipy</td> <td>1.7.3</td> </tr></table>\"\n      ],\n      \"text/plain\": [\n       \"<__main__.HTMLDisplayer at 0x7fd091cbe680>\"\n      ]\n     },\n     \"execution_count\": 38,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"HTMLDisplayer(s)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 39,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\hat{H} = -\\\\frac{1}{2}\\\\epsilon \\\\hat{\\\\sigma}_z-\\\\frac{1}{2}\\\\delta \\\\hat{\\\\sigma}_x$\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.Math object>\"\n      ]\n     },\n     \"execution_count\": 39,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"Math(r'\\\\hat{H} = -\\\\frac{1}{2}\\\\epsilon \\\\hat{\\\\sigma}_z-\\\\frac{1}{2}\\\\delta \\\\hat{\\\\sigma}_x')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 40,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"class QubitHamiltonian(object):\\n\",\n    \"    def __init__(self, epsilon, delta):\\n\",\n    \"        self.epsilon = epsilon\\n\",\n    \"        self.delta = delta\\n\",\n    \"\\n\",\n    \"    def _repr_latex_(self):\\n\",\n    \"        return \\\"$\\\\hat{H} = -%.2f\\\\hat{\\\\sigma}_z-%.2f\\\\hat{\\\\sigma}_x$\\\" % \\\\\\n\",\n    \"            (self.epsilon/2, self.delta/2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 41,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/latex\": [\n       \"$\\\\hat{H} = -0.25\\\\hat{\\\\sigma}_z-0.12\\\\hat{\\\\sigma}_x$\"\n      ],\n      \"text/plain\": [\n       \"<__main__.QubitHamiltonian at 0x7fd093a851e0>\"\n      ]\n     },\n     \"execution_count\": 41,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"QubitHamiltonian(0.5, 0.25)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 42,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import matplotlib.pyplot as plt\\n\",\n    \"import numpy as np\\n\",\n    \"from scipy import stats\\n\",\n    \"\\n\",\n    \"def f(mu):\\n\",\n    \"    X = stats.norm(loc=mu, scale=np.sqrt(mu))\\n\",\n    \"    N = stats.poisson(mu)\\n\",\n    \"    x = np.linspace(0, X.ppf(0.999))\\n\",\n    \"    n = np.arange(0, x[-1])\\n\",\n    \"\\n\",\n    \"    fig, ax = plt.subplots()\\n\",\n    \"    ax.plot(x, X.pdf(x), color='black', lw=2, label=\\\"Normal($\\\\mu=%d, \\\\sigma^2=%d$)\\\" % (mu, mu))\\n\",\n    \"    ax.bar(n, N.pmf(n), align='edge', label=r\\\"Poisson($\\\\lambda=%d$)\\\" % mu)\\n\",\n    \"    ax.set_ylim(0, X.pdf(x).max() * 1.25)\\n\",\n    \"    ax.legend(loc=2, ncol=2)\\n\",\n    \"    plt.close(fig)\\n\",\n    \"    return fig\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 43,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from ipywidgets import interact\\n\",\n    \"import ipywidgets as widgets\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 44,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/vnd.jupyter.widget-view+json\": {\n       \"model_id\": \"32de52fb68014fa792832416359e353e\",\n       \"version_major\": 2,\n       \"version_minor\": 0\n      },\n      \"text/plain\": [\n       \"interactive(children=(FloatSlider(value=1.0, description='mu', max=20.0, min=1.0, step=1.0), Output()), _dom_c…\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"interact(f, mu=widgets.FloatSlider(min=1.0, max=20.0, step=1.0));\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Jupyter nbconvert\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 45,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[NbConvertApp] Converting notebook ch01-code-listing.ipynb to html\\n\",\n      \"[NbConvertApp] Writing 649717 bytes to ch01-code-listing.html\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!jupyter nbconvert --to html ch01-code-listing.ipynb\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 46,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[NbConvertApp] Converting notebook ch01-code-listing.ipynb to pdf\\n\",\n      \"[NbConvertApp] Writing 57494 bytes to notebook.tex\\n\",\n      \"[NbConvertApp] Building PDF\\n\",\n      \"[NbConvertApp] Running xelatex 3 times: ['xelatex', 'notebook.tex', '-quiet']\\n\",\n      \"[NbConvertApp] Running bibtex 1 time: ['bibtex', 'notebook']\\n\",\n      \"[NbConvertApp] WARNING | bibtex had problems, most likely because there were no citations\\n\",\n      \"[NbConvertApp] PDF successfully created\\n\",\n      \"[NbConvertApp] Writing 66341 bytes to ch01-code-listing.pdf\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!jupyter nbconvert --to pdf ch01-code-listing.ipynb\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 47,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Overwriting custom_template.tplx\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%%writefile custom_template.tplx\\n\",\n    \"((*- extends 'article.tplx' -*))\\n\",\n    \"\\n\",\n    \"((* block title *)) \\\\title{Document title} ((* endblock title *))\\n\",\n    \"((* block author *)) \\\\author{Author's Name} ((* endblock author *))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"!jupyter nbconvert ch01-code-listing.ipynb --to pdf --template custom_template.tplx\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 48,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"[NbConvertApp] Converting notebook ch01-code-listing.ipynb to python\\n\",\n      \"[NbConvertApp] Writing 5152 bytes to ch01-code-listing.py\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!jupyter nbconvert ch01-code-listing.ipynb --to python\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Versions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 49,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/json\": {\n       \"Software versions\": [\n        {\n         \"module\": \"Python\",\n         \"version\": \"3.10.12 64bit [Clang 14.0.6 ]\"\n        },\n        {\n         \"module\": \"IPython\",\n         \"version\": \"8.12.0\"\n        },\n        {\n         \"module\": \"OS\",\n         \"version\": \"macOS 10.15.7 x86_64 i386 64bit\"\n        },\n        {\n         \"module\": \"numpy\",\n         \"version\": \"1.22.3\"\n        }\n       ]\n      },\n      \"text/html\": [\n       \"<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.10.12 64bit [Clang 14.0.6 ]</td></tr><tr><td>IPython</td><td>8.12.0</td></tr><tr><td>OS</td><td>macOS 10.15.7 x86\\\\_64 i386 64bit</td></tr><tr><td>numpy</td><td>1.22.3</td></tr><tr><td colspan='2'>Sat Nov 02 17:59:59 2024 JST</td></tr></table>\"\n      ],\n      \"text/latex\": [\n       \"\\\\begin{tabular}{|l|l|}\\\\hline\\n\",\n       \"{\\\\bf Software} & {\\\\bf Version} \\\\\\\\ \\\\hline\\\\hline\\n\",\n       \"Python & 3.10.12 64bit [Clang 14.0.6 ] \\\\\\\\ \\\\hline\\n\",\n       \"IPython & 8.12.0 \\\\\\\\ \\\\hline\\n\",\n       \"OS & macOS 10.15.7 x86\\\\_64 i386 64bit \\\\\\\\ \\\\hline\\n\",\n       \"numpy & 1.22.3 \\\\\\\\ \\\\hline\\n\",\n       \"\\\\hline \\\\multicolumn{2}{|l|}{Sat Nov 02 17:59:59 2024 JST} \\\\\\\\ \\\\hline\\n\",\n       \"\\\\end{tabular}\\n\"\n      ],\n      \"text/plain\": [\n       \"Software versions\\n\",\n       \"Python 3.10.12 64bit [Clang 14.0.6 ]\\n\",\n       \"IPython 8.12.0\\n\",\n       \"OS macOS 10.15.7 x86_64 i386 64bit\\n\",\n       \"numpy 1.22.3\\n\",\n       \"Sat Nov 02 17:59:59 2024 JST\"\n      ]\n     },\n     \"execution_count\": 49,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%reload_ext version_information\\n\",\n    \"%version_information numpy\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3 (ipykernel)\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "ch01-code-listing.py",
    "content": "#!/usr/bin/env python\n# coding: utf-8\n\n# # Chapter 1: Computing with Python\n\n# Robert Johansson\n# \n# Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\n\n# ## Interpreter\n\n# In[1]:\n\n\nget_ipython().run_cell_magic('writefile', 'hello.py', 'print(\"Hello from Python!\")\\n')\n\n\n# In[2]:\n\n\nget_ipython().system('python hello.py')\n\n\n# In[3]:\n\n\nget_ipython().system('python --version')\n\n\n# ## Input and output caching\n# \n# (restart the kernel for the same output and cell numbers)\n\n# In[1]:\n\n\n3 * 3\n\n\n# In[2]:\n\n\nIn[1]\n\n\n# In[3]:\n\n\nOut[1]\n\n\n# In[4]:\n\n\nIn\n\n\n# In[5]:\n\n\nOut\n\n\n# In[6]:\n\n\n1+2\n\n\n# In[7]:\n\n\n1+2;\n\n\n# In[8]:\n\n\nx = 1\n\n\n# In[9]:\n\n\nx = 2; x\n\n\n# ## Documentation\n\n# In[10]:\n\n\nimport os\n\n\n# In[11]:\n\n\n# try os.w<TAB>\n\n\n# In[12]:\n\n\nimport math\n\n\n# In[13]:\n\n\nget_ipython().run_line_magic('pinfo', 'math.cos')\n\n\n# ## Interaction with System Shell\n\n# In[14]:\n\n\nget_ipython().system('touch file1.py file2.py file3.py')\n\n\n# In[15]:\n\n\nget_ipython().system('ls file*')\n\n\n# In[16]:\n\n\nfiles = get_ipython().getoutput('ls file*')\n\n\n# In[17]:\n\n\nlen(files)\n\n\n# In[18]:\n\n\nfiles\n\n\n# In[19]:\n\n\nfile = \"file1.py\"\n\n\n# In[20]:\n\n\nget_ipython().system('ls -l $file')\n\n\n# ## Running scripts from the IPython console\n\n# In[21]:\n\n\nget_ipython().run_cell_magic('writefile', 'fib.py', '\\ndef fib(N): \\n    \"\"\" \\n    Return a list of the first N Fibonacci numbers.\\n    \"\"\" \\n    f0, f1 = 0, 1\\n    f = [1] * N\\n    for n in range(1, N):\\n        f[n] = f0 + f1\\n        f0, f1 = f1, f[n]\\n\\n    return f\\n\\nprint(fib(10))\\n')\n\n\n# In[22]:\n\n\nget_ipython().system('python fib.py')\n\n\n# In[23]:\n\n\nget_ipython().run_line_magic('run', 'fib.py')\n\n\n# In[24]:\n\n\nfib(6)\n\n\n# ## Debugger\n\n# In[25]:\n\n\nfib(1.0)\n\n\n# In[ ]:\n\n\nget_ipython().run_line_magic('debug', '')\n\n\n# ## Timing and profiling code\n\n# In[27]:\n\n\nget_ipython().run_line_magic('timeit', 'fib(100)')\n\n\n# In[28]:\n\n\nresult = get_ipython().run_line_magic('time', 'fib(100)')\n\n\n# In[29]:\n\n\nlen(result)\n\n\n# In[30]:\n\n\nimport numpy as np\n\ndef random_walker_max_distance(M, N):\n    \"\"\"\n    Simulate N random walkers taking M steps, and return the largest distance\n    from the starting point achieved by any of the random walkers.\n    \"\"\"\n    trajectories = [np.random.randn(M).cumsum() for _ in range(N)]\n    return np.max(np.abs(trajectories))\n\n\n# In[31]:\n\n\nget_ipython().run_line_magic('prun', 'random_walker_max_distance(400, 10000)')\n\n\n# ## Jupyter notebook\n\n# In[32]:\n\n\nfrom IPython.display import display, Image, HTML, Math\n\n\n# In[33]:\n\n\nImage(url='http://python.org/images/python-logo.gif')\n\n\n# In[34]:\n\n\nimport scipy, numpy, matplotlib\nmodules = [numpy, matplotlib, scipy]\nrow = \"<tr> <td>%s</td> <td>%s</td> </tr>\"\nrows = \"\\n\".join([row % (module.__name__, module.__version__) for module in modules])\ns = \"<table> <tr><th>Library</th><th>Version</th> </tr> %s</table>\" % rows\n\n\n# In[35]:\n\n\ns\n\n\n# In[36]:\n\n\nHTML(s)\n\n\n# In[37]:\n\n\nclass HTMLDisplayer(object):\n    def __init__(self, code):\n        self.code = code\n    \n    def _repr_html_(self):\n        return self.code\n\n\n# In[38]:\n\n\nHTMLDisplayer(s)\n\n\n# In[39]:\n\n\nMath(r'\\hat{H} = -\\frac{1}{2}\\epsilon \\hat{\\sigma}_z-\\frac{1}{2}\\delta \\hat{\\sigma}_x')\n\n\n# In[40]:\n\n\nclass QubitHamiltonian(object):\n    def __init__(self, epsilon, delta):\n        self.epsilon = epsilon\n        self.delta = delta\n\n    def _repr_latex_(self):\n        return \"$\\hat{H} = -%.2f\\hat{\\sigma}_z-%.2f\\hat{\\sigma}_x$\" % \\\n            (self.epsilon/2, self.delta/2)\n\n\n# In[41]:\n\n\nQubitHamiltonian(0.5, 0.25)\n\n\n# In[42]:\n\n\nimport matplotlib.pyplot as plt\nimport numpy as np\nfrom scipy import stats\n\ndef f(mu):\n    X = stats.norm(loc=mu, scale=np.sqrt(mu))\n    N = stats.poisson(mu)\n    x = np.linspace(0, X.ppf(0.999))\n    n = np.arange(0, x[-1])\n\n    fig, ax = plt.subplots()\n    ax.plot(x, X.pdf(x), color='black', lw=2, label=\"Normal($\\mu=%d, \\sigma^2=%d$)\" % (mu, mu))\n    ax.bar(n, N.pmf(n), align='edge', label=r\"Poisson($\\lambda=%d$)\" % mu)\n    ax.set_ylim(0, X.pdf(x).max() * 1.25)\n    ax.legend(loc=2, ncol=2)\n    plt.close(fig)\n    return fig\n\n\n# In[44]:\n\n\nfrom ipywidgets import interact\nimport ipywidgets as widgets\n\n\n# In[45]:\n\n\ninteract(f, mu=widgets.FloatSlider(min=1.0, max=20.0, step=1.0));\n\n\n# ## Jupyter nbconvert\n\n# In[2]:\n\n\nget_ipython().system('jupyter nbconvert --to html ch01-code-listing.ipynb')\n\n\n# In[2]:\n\n\nget_ipython().system('jupyter nbconvert --to pdf ch01-code-listing.ipynb')\n\n\n# In[8]:\n\n\nget_ipython().run_cell_magic('writefile', 'custom_template.tplx', \"((*- extends 'article.tplx' -*))\\n\\n((* block title *)) \\\\title{Document title} ((* endblock title *))\\n((* block author *)) \\\\author{Author's Name} ((* endblock author *))\\n\")\n\n\n# In[ ]:\n\n\nget_ipython().system('jupyter nbconvert ch01-code-listing.ipynb --to pdf --template custom_template.tplx')\n\n\n# In[11]:\n\n\nget_ipython().system('jupyter nbconvert ch01-code-listing.ipynb --to python')\n\n\n# # Versions\n\n# In[1]:\n\n\nget_ipython().run_line_magic('reload_ext', 'version_information')\nget_ipython().run_line_magic('version_information', 'numpy')\n\n\n# In[ ]:\n\n\n\n\n"
  },
  {
    "path": "ch02-code-listing.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Chapter 2: Vectors, matrices and multidimensional arrays\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## The NumPy array object\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"data = np.array([[1, 2], [3, 4], [5, 6]])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"numpy.ndarray\"\n      ]\n     },\n     \"execution_count\": 3,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[1, 2],\\n\",\n       \"       [3, 4],\\n\",\n       \"       [5, 6]])\"\n      ]\n     },\n     \"execution_count\": 4,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"2\"\n      ]\n     },\n     \"execution_count\": 5,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.ndim\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(3, 2)\"\n      ]\n     },\n     \"execution_count\": 6,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"6\"\n      ]\n     },\n     \"execution_count\": 7,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.size\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"dtype('int64')\"\n      ]\n     },\n     \"execution_count\": 8,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.dtype\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"48\"\n      ]\n     },\n     \"execution_count\": 9,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.nbytes\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Data types\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1, 2, 3])\"\n      ]\n     },\n     \"execution_count\": 10,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.array([1, 2, 3], dtype=int)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1., 2., 3.])\"\n      ]\n     },\n     \"execution_count\": 11,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.array([1, 2, 3], dtype=float)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1.+0.j, 2.+0.j, 3.+0.j])\"\n      ]\n     },\n     \"execution_count\": 12,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.array([1, 2, 3], dtype=complex)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"data = np.array([1, 2, 3], dtype=float)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1., 2., 3.])\"\n      ]\n     },\n     \"execution_count\": 14,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"dtype('float64')\"\n      ]\n     },\n     \"execution_count\": 15,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.dtype\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"data = np.array([1, 2, 3], dtype=int)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"dtype('int64')\"\n      ]\n     },\n     \"execution_count\": 17,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.dtype\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1, 2, 3])\"\n      ]\n     },\n     \"execution_count\": 18,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"data = np.array([1, 2, 3], dtype=float)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1., 2., 3.])\"\n      ]\n     },\n     \"execution_count\": 20,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1, 2, 3])\"\n      ]\n     },\n     \"execution_count\": 21,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.astype(int)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"d1 = np.array([1, 2, 3], dtype=float)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"d2 = np.array([1, 2, 3], dtype=complex)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([2.+0.j, 4.+0.j, 6.+0.j])\"\n      ]\n     },\n     \"execution_count\": 24,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"d1 + d2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"dtype('complex128')\"\n      ]\n     },\n     \"execution_count\": 25,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"(d1 + d2).dtype\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/var/folders/dw/s8n_0fz93_517nztg9jpvkb80000gn/T/ipykernel_23573/208196152.py:1: RuntimeWarning: invalid value encountered in sqrt\\n\",\n      \"  np.sqrt(np.array([-1, 0, 1]))\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([nan,  0.,  1.])\"\n      ]\n     },\n     \"execution_count\": 26,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.sqrt(np.array([-1, 0, 1]))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0.+1.j, 0.+0.j, 1.+0.j])\"\n      ]\n     },\n     \"execution_count\": 27,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.sqrt(np.array([-1, 0, 1], dtype=complex))\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Real and imaginary parts\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"data = np.array([1, 2, 3], dtype=complex)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1.+0.j, 2.+0.j, 3.+0.j])\"\n      ]\n     },\n     \"execution_count\": 29,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1., 2., 3.])\"\n      ]\n     },\n     \"execution_count\": 30,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.real\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0., 0., 0.])\"\n      ]\n     },\n     \"execution_count\": 31,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.imag\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Creating arrays\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Arrays created from lists and other array-like objects\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 32,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1, 2, 3, 4])\"\n      ]\n     },\n     \"execution_count\": 32,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.array([1, 2, 3, 4])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 33,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"1\"\n      ]\n     },\n     \"execution_count\": 33,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.ndim\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 34,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(3,)\"\n      ]\n     },\n     \"execution_count\": 34,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 35,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[1, 2],\\n\",\n       \"       [3, 4]])\"\n      ]\n     },\n     \"execution_count\": 35,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.array([[1, 2], [3, 4]])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 36,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"1\"\n      ]\n     },\n     \"execution_count\": 36,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.ndim\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 37,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(3,)\"\n      ]\n     },\n     \"execution_count\": 37,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Arrays filled with constant values\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 38,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0., 0., 0.],\\n\",\n       \"       [0., 0., 0.]])\"\n      ]\n     },\n     \"execution_count\": 38,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.zeros((2, 3))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 39,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1., 1., 1., 1.])\"\n      ]\n     },\n     \"execution_count\": 39,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.ones(4)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 40,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"data = np.ones(4)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 41,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"dtype('float64')\"\n      ]\n     },\n     \"execution_count\": 41,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.dtype\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 42,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"data = np.ones(4, dtype=np.int64)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 43,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"dtype('int64')\"\n      ]\n     },\n     \"execution_count\": 43,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.dtype\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 44,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x1 = 5.4 * np.ones(10)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 45,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x2 = np.full(10, 5.4)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 46,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x1 = np.empty(5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 47,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x1.fill(3.0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 48,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([3., 3., 3., 3., 3.])\"\n      ]\n     },\n     \"execution_count\": 48,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 49,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x2 = np.full(5, 3.0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 50,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([3., 3., 3., 3., 3.])\"\n      ]\n     },\n     \"execution_count\": 50,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x2\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Arrays filled with incremental sequences\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 51,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10.])\"\n      ]\n     },\n     \"execution_count\": 51,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.arange(0.0, 11, 1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 52,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10.])\"\n      ]\n     },\n     \"execution_count\": 52,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.linspace(0, 10, 11)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Arrays filled with logarithmic sequences\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 53,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([  1.        ,   3.16227766,  10.        ,  31.6227766 ,\\n\",\n       \"       100.        ])\"\n      ]\n     },\n     \"execution_count\": 53,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.logspace(0, 2, 5)  # 5 data points between 10**0=1 to 10**2=100\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Mesh-grid arrays\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 54,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.array([-1, 0, 1])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 55,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"y = np.array([-2, 0, 2])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 56,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"X, Y = np.meshgrid(x, y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 57,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[-1,  0,  1],\\n\",\n       \"       [-1,  0,  1],\\n\",\n       \"       [-1,  0,  1]])\"\n      ]\n     },\n     \"execution_count\": 57,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"X\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 58,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[-2, -2, -2],\\n\",\n       \"       [ 0,  0,  0],\\n\",\n       \"       [ 2,  2,  2]])\"\n      ]\n     },\n     \"execution_count\": 58,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"Y\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 59,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"Z = (X + Y) ** 2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 60,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[9, 4, 1],\\n\",\n       \"       [1, 0, 1],\\n\",\n       \"       [1, 4, 9]])\"\n      ]\n     },\n     \"execution_count\": 60,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"Z\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Creating uninitialized arrays\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 61,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1., 2., 3.])\"\n      ]\n     },\n     \"execution_count\": 61,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.empty(3, dtype=float)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Creating arrays with properties of other arrays\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 62,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def f(x):\\n\",\n    \"    y = np.ones_like(x)\\n\",\n    \"    # compute with x and y\\n\",\n    \"    return y\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Creating matrix arrays\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 63,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[1., 0., 0., 0.],\\n\",\n       \"       [0., 1., 0., 0.],\\n\",\n       \"       [0., 0., 1., 0.],\\n\",\n       \"       [0., 0., 0., 1.]])\"\n      ]\n     },\n     \"execution_count\": 63,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.identity(4)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 64,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0., 1., 0.],\\n\",\n       \"       [0., 0., 1.],\\n\",\n       \"       [0., 0., 0.]])\"\n      ]\n     },\n     \"execution_count\": 64,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.eye(3, k=1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 65,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0., 0., 0.],\\n\",\n       \"       [1., 0., 0.],\\n\",\n       \"       [0., 1., 0.]])\"\n      ]\n     },\n     \"execution_count\": 65,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.eye(3, k=-1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 66,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[ 0,  0,  0,  0],\\n\",\n       \"       [ 0,  5,  0,  0],\\n\",\n       \"       [ 0,  0, 10,  0],\\n\",\n       \"       [ 0,  0,  0, 15]])\"\n      ]\n     },\n     \"execution_count\": 66,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.diag(np.arange(0, 20, 5))\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Index and slicing\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### One-dimensional arrays\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 67,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"a = np.arange(0, 11)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 68,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10])\"\n      ]\n     },\n     \"execution_count\": 68,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"a\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 69,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0\"\n      ]\n     },\n     \"execution_count\": 69,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"a[0]  # the first element\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 70,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"10\"\n      ]\n     },\n     \"execution_count\": 70,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"a[-1] # the last element\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 71,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"4\"\n      ]\n     },\n     \"execution_count\": 71,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"a[4]  # the fifth element, at index 4\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 72,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1, 2, 3, 4, 5, 6, 7, 8, 9])\"\n      ]\n     },\n     \"execution_count\": 72,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"a[1:-1]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 73,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1, 3, 5, 7, 9])\"\n      ]\n     },\n     \"execution_count\": 73,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"a[1:-1:2]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 74,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 1, 2, 3, 4])\"\n      ]\n     },\n     \"execution_count\": 74,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"a[:5]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 75,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 6,  7,  8,  9, 10])\"\n      ]\n     },\n     \"execution_count\": 75,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"a[-5:]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 76,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([10,  8,  6,  4,  2,  0])\"\n      ]\n     },\n     \"execution_count\": 76,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"a[::-2]\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Multidimensional arrays\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 77,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"f = lambda m, n: n + 10 * m\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 78,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"A = np.fromfunction(f, (6, 6), dtype=int)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 79,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[ 0,  1,  2,  3,  4,  5],\\n\",\n       \"       [10, 11, 12, 13, 14, 15],\\n\",\n       \"       [20, 21, 22, 23, 24, 25],\\n\",\n       \"       [30, 31, 32, 33, 34, 35],\\n\",\n       \"       [40, 41, 42, 43, 44, 45],\\n\",\n       \"       [50, 51, 52, 53, 54, 55]])\"\n      ]\n     },\n     \"execution_count\": 79,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 80,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 1, 11, 21, 31, 41, 51])\"\n      ]\n     },\n     \"execution_count\": 80,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A[:, 1]  # the second column\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 81,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([10, 11, 12, 13, 14, 15])\"\n      ]\n     },\n     \"execution_count\": 81,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A[1, :]  # the second row\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 82,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[ 0,  1,  2],\\n\",\n       \"       [10, 11, 12],\\n\",\n       \"       [20, 21, 22]])\"\n      ]\n     },\n     \"execution_count\": 82,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A[:3, :3]  # upper half diagonal block matrix\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 83,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[30, 31, 32],\\n\",\n       \"       [40, 41, 42],\\n\",\n       \"       [50, 51, 52]])\"\n      ]\n     },\n     \"execution_count\": 83,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A[3:, :3]  # lower left off-diagonal block matrix\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 84,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[ 0,  2,  4],\\n\",\n       \"       [20, 22, 24],\\n\",\n       \"       [40, 42, 44]])\"\n      ]\n     },\n     \"execution_count\": 84,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A[::2, ::2]  # every second element starting from 0, 0\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 85,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[11, 14],\\n\",\n       \"       [31, 34],\\n\",\n       \"       [51, 54]])\"\n      ]\n     },\n     \"execution_count\": 85,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A[1::2, 1::3]  # every second element starting from 1, 1\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Views\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 86,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"B = A[1:5, 1:5]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 87,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[11, 12, 13, 14],\\n\",\n       \"       [21, 22, 23, 24],\\n\",\n       \"       [31, 32, 33, 34],\\n\",\n       \"       [41, 42, 43, 44]])\"\n      ]\n     },\n     \"execution_count\": 87,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"B\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 88,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"B[:, :] = 0\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 89,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[ 0,  1,  2,  3,  4,  5],\\n\",\n       \"       [10,  0,  0,  0,  0, 15],\\n\",\n       \"       [20,  0,  0,  0,  0, 25],\\n\",\n       \"       [30,  0,  0,  0,  0, 35],\\n\",\n       \"       [40,  0,  0,  0,  0, 45],\\n\",\n       \"       [50, 51, 52, 53, 54, 55]])\"\n      ]\n     },\n     \"execution_count\": 89,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 90,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"C = B[1:3, 1:3].copy()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 91,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0, 0],\\n\",\n       \"       [0, 0]])\"\n      ]\n     },\n     \"execution_count\": 91,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"C\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 92,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"C[:, :] = 1  # this does not affect B since C is a copy of the view B[1:3, 1:3]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 93,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[1, 1],\\n\",\n       \"       [1, 1]])\"\n      ]\n     },\n     \"execution_count\": 93,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"C\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 94,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0, 0, 0, 0],\\n\",\n       \"       [0, 0, 0, 0],\\n\",\n       \"       [0, 0, 0, 0],\\n\",\n       \"       [0, 0, 0, 0]])\"\n      ]\n     },\n     \"execution_count\": 94,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"B\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Fancy indexing and Boolean-valued indexing\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 95,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"A = np.linspace(0, 1, 11)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 96,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0. , 0.2, 0.4])\"\n      ]\n     },\n     \"execution_count\": 96,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A[np.array([0, 2, 4])]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 97,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0. , 0.2, 0.4])\"\n      ]\n     },\n     \"execution_count\": 97,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A[[0, 2, 4]]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 98,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([False, False, False, False, False, False,  True,  True,  True,\\n\",\n       \"        True,  True])\"\n      ]\n     },\n     \"execution_count\": 98,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A > 0.5 \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 99,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0.6, 0.7, 0.8, 0.9, 1. ])\"\n      ]\n     },\n     \"execution_count\": 99,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A[A > 0.5]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 100,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"A = np.arange(10)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 101,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])\"\n      ]\n     },\n     \"execution_count\": 101,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 102,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"indices = [2, 4, 6]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 103,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"B = A[indices]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 104,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"B[0] = -1  # this does not affect A\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 105,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])\"\n      ]\n     },\n     \"execution_count\": 105,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 106,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"A[indices] = -1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 107,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 0,  1, -1,  3, -1,  5, -1,  7,  8,  9])\"\n      ]\n     },\n     \"execution_count\": 107,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 108,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"A = np.arange(10)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 109,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"B = A[A > 5]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 110,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"B[0] = -1  # this does not affect A\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 111,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])\"\n      ]\n     },\n     \"execution_count\": 111,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 112,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"A[A > 5] = -1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 113,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 0,  1,  2,  3,  4,  5, -1, -1, -1, -1])\"\n      ]\n     },\n     \"execution_count\": 113,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Reshaping and resizing\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 114,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"data = np.array([[1, 2], [3, 4]])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 115,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[1, 2, 3, 4]])\"\n      ]\n     },\n     \"execution_count\": 115,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.reshape(data, (1, 4))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 116,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1, 2, 3, 4])\"\n      ]\n     },\n     \"execution_count\": 116,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.reshape(4)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 117,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"data = np.array([[1, 2], [3, 4]])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 118,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[1, 2],\\n\",\n       \"       [3, 4]])\"\n      ]\n     },\n     \"execution_count\": 118,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 119,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1, 2, 3, 4])\"\n      ]\n     },\n     \"execution_count\": 119,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.flatten()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 120,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(4,)\"\n      ]\n     },\n     \"execution_count\": 120,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.flatten().shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 121,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"data = np.arange(0, 5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 122,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"column = data[:, np.newaxis]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 123,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0],\\n\",\n       \"       [1],\\n\",\n       \"       [2],\\n\",\n       \"       [3],\\n\",\n       \"       [4]])\"\n      ]\n     },\n     \"execution_count\": 123,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"column\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 124,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"row = data[np.newaxis, :]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 125,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0, 1, 2, 3, 4]])\"\n      ]\n     },\n     \"execution_count\": 125,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"row\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 126,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"data = np.arange(5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 127,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 1, 2, 3, 4])\"\n      ]\n     },\n     \"execution_count\": 127,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 128,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0, 1, 2, 3, 4],\\n\",\n       \"       [0, 1, 2, 3, 4],\\n\",\n       \"       [0, 1, 2, 3, 4]])\"\n      ]\n     },\n     \"execution_count\": 128,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.vstack((data, data, data))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 129,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"data = np.arange(5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 130,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 1, 2, 3, 4])\"\n      ]\n     },\n     \"execution_count\": 130,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 131,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4])\"\n      ]\n     },\n     \"execution_count\": 131,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.hstack((data, data, data))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 132,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"data = data[:, np.newaxis]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 133,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0, 0, 0],\\n\",\n       \"       [1, 1, 1],\\n\",\n       \"       [2, 2, 2],\\n\",\n       \"       [3, 3, 3],\\n\",\n       \"       [4, 4, 4]])\"\n      ]\n     },\n     \"execution_count\": 133,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.hstack((data, data, data))\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Vectorized expressions\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Arithmetic operations\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 134,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.array([[1, 2], [3, 4]]) \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 135,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"y = np.array([[5, 6], [7, 8]])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 136,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[ 6,  8],\\n\",\n       \"       [10, 12]])\"\n      ]\n     },\n     \"execution_count\": 136,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x + y\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 137,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[4, 4],\\n\",\n       \"       [4, 4]])\"\n      ]\n     },\n     \"execution_count\": 137,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"y - x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 138,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[ 5, 12],\\n\",\n       \"       [21, 32]])\"\n      ]\n     },\n     \"execution_count\": 138,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x * y\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 139,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[5.        , 3.        ],\\n\",\n       \"       [2.33333333, 2.        ]])\"\n      ]\n     },\n     \"execution_count\": 139,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"y / x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 140,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[2, 4],\\n\",\n       \"       [6, 8]])\"\n      ]\n     },\n     \"execution_count\": 140,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x * 2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 141,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[ 2,  4],\\n\",\n       \"       [ 8, 16]])\"\n      ]\n     },\n     \"execution_count\": 141,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"2 ** x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 142,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[2.5, 3. ],\\n\",\n       \"       [3.5, 4. ]])\"\n      ]\n     },\n     \"execution_count\": 142,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"y / 2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 143,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"dtype('float64')\"\n      ]\n     },\n     \"execution_count\": 143,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"(y / 2).dtype\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 144,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.array([1, 2, 3, 4]).reshape(2,2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 145,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"z = np.array([1, 2, 3, 4])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 146,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"ename\": \"ValueError\",\n     \"evalue\": \"operands could not be broadcast together with shapes (2,2) (4,) \",\n     \"output_type\": \"error\",\n     \"traceback\": [\n      \"\\u001b[0;31m---------------------------------------------------------------------------\\u001b[0m\",\n      \"\\u001b[0;31mValueError\\u001b[0m                                Traceback (most recent call last)\",\n      \"Cell \\u001b[0;32mIn[146], line 1\\u001b[0m\\n\\u001b[0;32m----> 1\\u001b[0m \\u001b[43mx\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m/\\u001b[39;49m\\u001b[43m \\u001b[49m\\u001b[43mz\\u001b[49m\\n\",\n      \"\\u001b[0;31mValueError\\u001b[0m: operands could not be broadcast together with shapes (2,2) (4,) \"\n     ]\n    }\n   ],\n   \"source\": [\n    \"x / z\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 147,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"z = np.array([[2, 4]])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 148,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[2, 4]])\"\n      ]\n     },\n     \"execution_count\": 148,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"z\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 149,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(1, 2)\"\n      ]\n     },\n     \"execution_count\": 149,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"z.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 150,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0.5, 0.5],\\n\",\n       \"       [1.5, 1. ]])\"\n      ]\n     },\n     \"execution_count\": 150,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x / z\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 151,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"zz = np.concatenate([z, z], axis=0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 152,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[2, 4],\\n\",\n       \"       [2, 4]])\"\n      ]\n     },\n     \"execution_count\": 152,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"zz\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 153,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0.5, 0.5],\\n\",\n       \"       [1.5, 1. ]])\"\n      ]\n     },\n     \"execution_count\": 153,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x / zz\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 154,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"z = np.array([[2], [4]])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 155,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(2, 1)\"\n      ]\n     },\n     \"execution_count\": 155,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"z.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 156,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0.5 , 1.  ],\\n\",\n       \"       [0.75, 1.  ]])\"\n      ]\n     },\n     \"execution_count\": 156,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x / z\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 157,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"zz = np.concatenate([z, z], axis=1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 158,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[2, 2],\\n\",\n       \"       [4, 4]])\"\n      ]\n     },\n     \"execution_count\": 158,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"zz\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 159,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0.5 , 1.  ],\\n\",\n       \"       [0.75, 1.  ]])\"\n      ]\n     },\n     \"execution_count\": 159,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x / zz\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 160,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[ 6,  9],\\n\",\n       \"       [ 9, 12]])\"\n      ]\n     },\n     \"execution_count\": 160,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x = np.array([[1, 3], [2, 4]])\\n\",\n    \"x = x + y\\n\",\n    \"x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 161,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[ 6,  9],\\n\",\n       \"       [ 9, 12]])\"\n      ]\n     },\n     \"execution_count\": 161,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x = np.array([[1, 3], [2, 4]])\\n\",\n    \"x += y\\n\",\n    \"x\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Elementwise functions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 162,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.linspace(-1, 1, 11)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 163,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([-1. , -0.8, -0.6, -0.4, -0.2,  0. ,  0.2,  0.4,  0.6,  0.8,  1. ])\"\n      ]\n     },\n     \"execution_count\": 163,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 164,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"y = np.sin(np.pi * x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 165,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([-0.    , -0.5878, -0.9511, -0.9511, -0.5878,  0.    ,  0.5878,\\n\",\n       \"        0.9511,  0.9511,  0.5878,  0.    ])\"\n      ]\n     },\n     \"execution_count\": 165,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.round(y, decimals=4)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 166,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])\"\n      ]\n     },\n     \"execution_count\": 166,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.add(np.sin(x) ** 2, np.cos(x) ** 2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 167,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.])\"\n      ]\n     },\n     \"execution_count\": 167,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.sin(x) ** 2 + np.cos(x) ** 2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 168,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def heaviside(x):\\n\",\n    \"    return 1 if x > 0 else 0\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 169,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0\"\n      ]\n     },\n     \"execution_count\": 169,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"heaviside(-1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 170,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"1\"\n      ]\n     },\n     \"execution_count\": 170,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"heaviside(1.5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 171,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.linspace(-5, 5, 11)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 172,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"ename\": \"ValueError\",\n     \"evalue\": \"The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()\",\n     \"output_type\": \"error\",\n     \"traceback\": [\n      \"\\u001b[0;31m---------------------------------------------------------------------------\\u001b[0m\",\n      \"\\u001b[0;31mValueError\\u001b[0m                                Traceback (most recent call last)\",\n      \"Cell \\u001b[0;32mIn[172], line 1\\u001b[0m\\n\\u001b[0;32m----> 1\\u001b[0m \\u001b[43mheaviside\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mx\\u001b[49m\\u001b[43m)\\u001b[49m\\n\",\n      \"Cell \\u001b[0;32mIn[168], line 2\\u001b[0m, in \\u001b[0;36mheaviside\\u001b[0;34m(x)\\u001b[0m\\n\\u001b[1;32m      1\\u001b[0m \\u001b[38;5;28;01mdef\\u001b[39;00m \\u001b[38;5;21mheaviside\\u001b[39m(x):\\n\\u001b[0;32m----> 2\\u001b[0m     \\u001b[38;5;28;01mreturn\\u001b[39;00m \\u001b[38;5;241m1\\u001b[39m \\u001b[38;5;28;01mif\\u001b[39;00m x \\u001b[38;5;241m>\\u001b[39m \\u001b[38;5;241m0\\u001b[39m \\u001b[38;5;28;01melse\\u001b[39;00m \\u001b[38;5;241m0\\u001b[39m\\n\",\n      \"\\u001b[0;31mValueError\\u001b[0m: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"heaviside(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 173,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"heaviside = np.vectorize(heaviside)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 174,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1])\"\n      ]\n     },\n     \"execution_count\": 174,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"heaviside(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 175,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def heaviside(x):\\n\",\n    \"    return 1.0 * (x > 0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Aggregate functions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 176,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"data = np.random.normal(size=(15,15))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 177,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.14239273282693837\"\n      ]\n     },\n     \"execution_count\": 177,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.mean(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 178,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.14239273282693837\"\n      ]\n     },\n     \"execution_count\": 178,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.mean()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 179,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"data = np.random.normal(size=(5, 10, 15))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 180,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(10, 15)\"\n      ]\n     },\n     \"execution_count\": 180,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.sum(axis=0).shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 181,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(10,)\"\n      ]\n     },\n     \"execution_count\": 181,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.sum(axis=(0, 2)).shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 182,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.761638142051446\"\n      ]\n     },\n     \"execution_count\": 182,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.sum()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 183,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"data = np.arange(1,10).reshape(3,3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 184,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[1, 2, 3],\\n\",\n       \"       [4, 5, 6],\\n\",\n       \"       [7, 8, 9]])\"\n      ]\n     },\n     \"execution_count\": 184,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 185,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"45\"\n      ]\n     },\n     \"execution_count\": 185,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.sum()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 186,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([12, 15, 18])\"\n      ]\n     },\n     \"execution_count\": 186,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.sum(axis=0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 187,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 6, 15, 24])\"\n      ]\n     },\n     \"execution_count\": 187,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.sum(axis=1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Boolean arrays and conditional expressions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 188,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"a = np.array([1, 2, 3, 4])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 189,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"b = np.array([4, 3, 2, 1])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 190,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ True,  True, False, False])\"\n      ]\n     },\n     \"execution_count\": 190,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"a < b\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 191,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"False\"\n      ]\n     },\n     \"execution_count\": 191,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.all(a < b)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 192,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"True\"\n      ]\n     },\n     \"execution_count\": 192,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.any(a < b)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 193,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Some elements in a are smaller than their corresponding elemment in b\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"if np.all(a < b):\\n\",\n    \"    print(\\\"All elements in a are smaller than their corresponding element in b\\\")\\n\",\n    \"elif np.any(a < b):\\n\",\n    \"    print(\\\"Some elements in a are smaller than their corresponding elemment in b\\\")\\n\",\n    \"else:\\n\",\n    \"    print(\\\"All elements in b are smaller than their corresponding element in a\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 194,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.array([-2, -1, 0, 1, 2])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 195,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([False, False, False,  True,  True])\"\n      ]\n     },\n     \"execution_count\": 195,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x > 0\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 196,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 0, 0, 1, 1])\"\n      ]\n     },\n     \"execution_count\": 196,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"1 * (x > 0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 197,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 0, 0, 1, 2])\"\n      ]\n     },\n     \"execution_count\": 197,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x * (x > 0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 198,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def pulse(x, position, height, width):\\n\",\n    \"    return height * (x >= position) * (x <= (position + width))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 199,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.linspace(-5, 5, 11)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 200,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0])\"\n      ]\n     },\n     \"execution_count\": 200,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"pulse(x, position=-2, height=1, width=5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 201,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1])\"\n      ]\n     },\n     \"execution_count\": 201,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"pulse(x, position=1, height=1, width=5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 202,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def pulse(x, position, height, width):\\n\",\n    \"    return height * np.logical_and(x >= position, x <= (position + width))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 203,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.linspace(-4, 4, 9)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 204,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([16.,  9.,  4.,  1.,  0.,  1.,  8., 27., 64.])\"\n      ]\n     },\n     \"execution_count\": 204,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.where(x < 0, x**2, x**3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 205,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 16.,   9.,   4.,  -1.,   0.,   1.,  16.,  81., 256.])\"\n      ]\n     },\n     \"execution_count\": 205,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.select([x < -1, x < 2, x >= 2],\\n\",\n    \"          [x**2  , x**3 , x**4])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 206,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 16.,   9.,   4.,  -1.,   0.,   1.,  16.,  81., 256.])\"\n      ]\n     },\n     \"execution_count\": 206,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.choose([0, 0, 0, 1, 1, 1, 2, 2, 2], \\n\",\n    \"          [x**2,    x**3,    x**4])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 207,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([-4., -3.,  3.,  4.])\"\n      ]\n     },\n     \"execution_count\": 207,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x[abs(x) > 2]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 208,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(array([0, 1, 7, 8]),)\"\n      ]\n     },\n     \"execution_count\": 208,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.nonzero(abs(x) > 2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 209,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([-4., -3.,  3.,  4.])\"\n      ]\n     },\n     \"execution_count\": 209,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x[np.nonzero(abs(x) > 2)]\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Set operations\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 210,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"a = np.unique([1,2,3,3])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 211,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"b = np.unique([2,3,4,4,5,6,5])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 212,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([False,  True,  True])\"\n      ]\n     },\n     \"execution_count\": 212,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.in1d(a, b)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 213,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"True\"\n      ]\n     },\n     \"execution_count\": 213,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"1 in a\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 214,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"False\"\n      ]\n     },\n     \"execution_count\": 214,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"1 in b\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 215,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"False\"\n      ]\n     },\n     \"execution_count\": 215,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.all(np.in1d(a, b))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 216,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1, 2, 3, 4, 5, 6])\"\n      ]\n     },\n     \"execution_count\": 216,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.union1d(a, b)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 217,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([2, 3])\"\n      ]\n     },\n     \"execution_count\": 217,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.intersect1d(a, b)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 218,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1])\"\n      ]\n     },\n     \"execution_count\": 218,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.setdiff1d(a, b)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 219,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([4, 5, 6])\"\n      ]\n     },\n     \"execution_count\": 219,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.setdiff1d(b, a)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Operations on arrays\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 220,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"data = np.arange(9).reshape(3, 3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 221,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0, 1, 2],\\n\",\n       \"       [3, 4, 5],\\n\",\n       \"       [6, 7, 8]])\"\n      ]\n     },\n     \"execution_count\": 221,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 222,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0, 3, 6],\\n\",\n       \"       [1, 4, 7],\\n\",\n       \"       [2, 5, 8]])\"\n      ]\n     },\n     \"execution_count\": 222,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.transpose(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 223,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"data = np.random.randn(1, 2, 3, 4, 5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 224,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(1, 2, 3, 4, 5)\"\n      ]\n     },\n     \"execution_count\": 224,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 225,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(5, 4, 3, 2, 1)\"\n      ]\n     },\n     \"execution_count\": 225,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.T.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Matrix and vector operations\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 226,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"A = np.arange(1, 7).reshape(2, 3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 227,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[1, 2, 3],\\n\",\n       \"       [4, 5, 6]])\"\n      ]\n     },\n     \"execution_count\": 227,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 228,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"B = np.arange(1, 7).reshape(3, 2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 229,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[1, 2],\\n\",\n       \"       [3, 4],\\n\",\n       \"       [5, 6]])\"\n      ]\n     },\n     \"execution_count\": 229,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"B\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 230,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[22, 28],\\n\",\n       \"       [49, 64]])\"\n      ]\n     },\n     \"execution_count\": 230,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.dot(A, B)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 231,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[22, 28],\\n\",\n       \"       [49, 64]])\"\n      ]\n     },\n     \"execution_count\": 231,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A @ B\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 232,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[ 9, 12, 15],\\n\",\n       \"       [19, 26, 33],\\n\",\n       \"       [29, 40, 51]])\"\n      ]\n     },\n     \"execution_count\": 232,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.dot(B, A)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 233,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[ 9, 12, 15],\\n\",\n       \"       [19, 26, 33],\\n\",\n       \"       [29, 40, 51]])\"\n      ]\n     },\n     \"execution_count\": 233,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"B @ A\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 234,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"A = np.arange(9).reshape(3, 3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 235,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0, 1, 2],\\n\",\n       \"       [3, 4, 5],\\n\",\n       \"       [6, 7, 8]])\"\n      ]\n     },\n     \"execution_count\": 235,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 236,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.arange(3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 237,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 1, 2])\"\n      ]\n     },\n     \"execution_count\": 237,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 238,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 5, 14, 23])\"\n      ]\n     },\n     \"execution_count\": 238,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.dot(A, x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 239,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 5, 14, 23])\"\n      ]\n     },\n     \"execution_count\": 239,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A.dot(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 240,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"A = np.random.rand(3,3)\\n\",\n    \"B = np.random.rand(3,3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 241,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[-0.01009463, -1.91644319,  3.15912556],\\n\",\n       \"       [ 0.1740972 , -0.97141965,  2.59426195],\\n\",\n       \"       [ 0.16080912, -0.81881145,  2.44567854]])\"\n      ]\n     },\n     \"execution_count\": 241,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"Ap = B @ A @ np.linalg.inv(B)\\n\",\n    \"Ap\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 242,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[-0.01009463, -1.91644319,  3.15912556],\\n\",\n       \"       [ 0.1740972 , -0.97141965,  2.59426195],\\n\",\n       \"       [ 0.16080912, -0.81881145,  2.44567854]])\"\n      ]\n     },\n     \"execution_count\": 242,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"Ap = np.dot(B, np.dot(A, np.linalg.inv(B)))\\n\",\n    \"Ap\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 243,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[-0.01009463, -1.91644319,  3.15912556],\\n\",\n       \"       [ 0.1740972 , -0.97141965,  2.59426195],\\n\",\n       \"       [ 0.16080912, -0.81881145,  2.44567854]])\"\n      ]\n     },\n     \"execution_count\": 243,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"Ap = B.dot(A.dot(np.linalg.inv(B)))\\n\",\n    \"Ap\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 244,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"A = np.matrix(A)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 245,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"B = np.matrix(B)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 246,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"Ap = B * A * B.I\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 247,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"A = np.asmatrix(A)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 248,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"B = np.asmatrix(B)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 249,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"Ap = B * A * B.I\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 250,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"Ap = np.asarray(Ap)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 251,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[-0.01009463, -1.91644319,  3.15912556],\\n\",\n       \"       [ 0.1740972 , -0.97141965,  2.59426195],\\n\",\n       \"       [ 0.16080912, -0.81881145,  2.44567854]])\"\n      ]\n     },\n     \"execution_count\": 251,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"Ap\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 252,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"5\"\n      ]\n     },\n     \"execution_count\": 252,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.inner(x, x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 253,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"5\"\n      ]\n     },\n     \"execution_count\": 253,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.dot(x, x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 254,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"y = x[:, np.newaxis]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 255,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0],\\n\",\n       \"       [1],\\n\",\n       \"       [2]])\"\n      ]\n     },\n     \"execution_count\": 255,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"y\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 256,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[5]])\"\n      ]\n     },\n     \"execution_count\": 256,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.dot(y.T, y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 257,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.array([1, 2, 3])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 258,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[1, 2, 3],\\n\",\n       \"       [2, 4, 6],\\n\",\n       \"       [3, 6, 9]])\"\n      ]\n     },\n     \"execution_count\": 258,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.outer(x, x) \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 259,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1, 2, 3, 2, 4, 6, 3, 6, 9])\"\n      ]\n     },\n     \"execution_count\": 259,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.kron(x, x) \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 260,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[1, 2, 3],\\n\",\n       \"       [2, 4, 6],\\n\",\n       \"       [3, 6, 9]])\"\n      ]\n     },\n     \"execution_count\": 260,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.kron(x[:, np.newaxis], x[np.newaxis, :])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 261,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[1., 0., 1., 0.],\\n\",\n       \"       [0., 1., 0., 1.],\\n\",\n       \"       [1., 0., 1., 0.],\\n\",\n       \"       [0., 1., 0., 1.]])\"\n      ]\n     },\n     \"execution_count\": 261,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.kron(np.ones((2,2)), np.identity(2))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 262,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[1., 1., 0., 0.],\\n\",\n       \"       [1., 1., 0., 0.],\\n\",\n       \"       [0., 0., 1., 1.],\\n\",\n       \"       [0., 0., 1., 1.]])\"\n      ]\n     },\n     \"execution_count\": 262,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.kron(np.identity(2), np.ones((2,2)))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 263,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.array([1, 2, 3, 4])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 264,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"y = np.array([5, 6, 7, 8])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 265,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"70\"\n      ]\n     },\n     \"execution_count\": 265,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.einsum(\\\"n,n\\\", x, y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 266,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"70\"\n      ]\n     },\n     \"execution_count\": 266,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.inner(x, y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 267,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"A = np.arange(9).reshape(3, 3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 268,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"B = A.T\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 269,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[  5,  14,  23],\\n\",\n       \"       [ 14,  50,  86],\\n\",\n       \"       [ 23,  86, 149]])\"\n      ]\n     },\n     \"execution_count\": 269,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.einsum(\\\"mk,kn\\\", A, B)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 270,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"True\"\n      ]\n     },\n     \"execution_count\": 270,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.alltrue(np.einsum(\\\"mk,kn\\\", A, B) == np.dot(A, B))\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Versions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 271,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/json\": {\n       \"Software versions\": [\n        {\n         \"module\": \"Python\",\n         \"version\": \"3.10.12 64bit [Clang 14.0.6 ]\"\n        },\n        {\n         \"module\": \"IPython\",\n         \"version\": \"8.12.0\"\n        },\n        {\n         \"module\": \"OS\",\n         \"version\": \"macOS 10.15.7 x86_64 i386 64bit\"\n        },\n        {\n         \"module\": \"numpy\",\n         \"version\": \"1.22.3\"\n        }\n       ]\n      },\n      \"text/html\": [\n       \"<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.10.12 64bit [Clang 14.0.6 ]</td></tr><tr><td>IPython</td><td>8.12.0</td></tr><tr><td>OS</td><td>macOS 10.15.7 x86\\\\_64 i386 64bit</td></tr><tr><td>numpy</td><td>1.22.3</td></tr><tr><td colspan='2'>Sat Nov 02 18:04:01 2024 JST</td></tr></table>\"\n      ],\n      \"text/latex\": [\n       \"\\\\begin{tabular}{|l|l|}\\\\hline\\n\",\n       \"{\\\\bf Software} & {\\\\bf Version} \\\\\\\\ \\\\hline\\\\hline\\n\",\n       \"Python & 3.10.12 64bit [Clang 14.0.6 ] \\\\\\\\ \\\\hline\\n\",\n       \"IPython & 8.12.0 \\\\\\\\ \\\\hline\\n\",\n       \"OS & macOS 10.15.7 x86\\\\_64 i386 64bit \\\\\\\\ \\\\hline\\n\",\n       \"numpy & 1.22.3 \\\\\\\\ \\\\hline\\n\",\n       \"\\\\hline \\\\multicolumn{2}{|l|}{Sat Nov 02 18:04:01 2024 JST} \\\\\\\\ \\\\hline\\n\",\n       \"\\\\end{tabular}\\n\"\n      ],\n      \"text/plain\": [\n       \"Software versions\\n\",\n       \"Python 3.10.12 64bit [Clang 14.0.6 ]\\n\",\n       \"IPython 8.12.0\\n\",\n       \"OS macOS 10.15.7 x86_64 i386 64bit\\n\",\n       \"numpy 1.22.3\\n\",\n       \"Sat Nov 02 18:04:01 2024 JST\"\n      ]\n     },\n     \"execution_count\": 271,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%reload_ext version_information\\n\",\n    \"%version_information numpy\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": []\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3 (ipykernel)\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "ch02-figures.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Chapter 2: Figures\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%matplotlib inline\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%config InlineBackend.figure_format='retina'\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import matplotlib as mpl\\n\",\n    \"import matplotlib.pyplot as plt\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def show_array(shape, sel, filename=None):\\n\",\n    \"    \\\"\\\"\\\"Visualize indexing of arrays\\\"\\\"\\\"\\n\",\n    \"\\n\",\n    \"    data = np.zeros(shape)\\n\",\n    \"    exec(\\\"data[%s] = 1\\\" % sel)\\n\",\n    \"\\n\",\n    \"    fig, ax = plt.subplots(1, 1, figsize=shape)\\n\",\n    \"\\n\",\n    \"    ax.patch.set_facecolor('black')\\n\",\n    \"    ax.set_aspect('equal', 'box')\\n\",\n    \"    ax.xaxis.set_major_locator(plt.NullLocator())\\n\",\n    \"    ax.yaxis.set_major_locator(plt.NullLocator())\\n\",\n    \"\\n\",\n    \"    size = 0.97\\n\",\n    \"    for (m, n), w in np.ndenumerate(data):\\n\",\n    \"        color = '#1199ff' if w > 0 else '#eeeeee'\\n\",\n    \"        rect = plt.Rectangle([n - size / 2, m - size / 2],\\n\",\n    \"                             size, size,\\n\",\n    \"                             facecolor=color,\\n\",\n    \"                             edgecolor=color)\\n\",\n    \"        ax.add_patch(rect)\\n\",\n    \"        ax.text(m, n, \\\"(%d, %d)\\\" % (n, m), ha='center', va='center', fontsize=12)\\n\",\n    \"        \\n\",\n    \"    ax.autoscale_view()\\n\",\n    \"    ax.set_xlim(-.5, 3.5)\\n\",\n    \"    ax.set_ylim(-.5, 3.5)\\n\",\n    \"    ax.invert_yaxis()\\n\",\n    \"    \\n\",\n    \"    if sel == \\\":, :\\\":\\n\",\n    \"        ax.set_title(\\\"data\\\\n\\\", fontsize=12)\\n\",\n    \"    else:\\n\",\n    \"        ax.set_title(\\\"data[%s]\\\\n\\\" % sel, fontsize=12)\\n\",\n    \"    \\n\",\n    \"    fig.tight_layout()\\n\",\n    \"    \\n\",\n    \"    if filename:\\n\",\n    \"        fig.savefig(filename + \\\".png\\\", dpi=200)\\n\",\n    \"        fig.savefig(filename + \\\".svg\\\")\\n\",\n    \"        fig.savefig(filename + \\\".pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 392,\n       \"width\": 352\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"show_array((4, 4), \\\":, :\\\", \\\"array_indexing_1\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 392,\n       \"width\": 352\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"show_array((4, 4), \\\"0\\\", \\\"array_indexing_2\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 392,\n       \"width\": 352\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"show_array((4, 4), \\\"1, :\\\", \\\"array_indexing_3\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 392,\n       \"width\": 352\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"show_array((4, 4), \\\":, 2\\\", \\\"array_indexing_4\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 392,\n       \"width\": 352\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"show_array((4, 4), \\\"0:2, 0:2\\\", \\\"array_indexing_5\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 392,\n       \"width\": 352\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"show_array((4, 4), \\\"0:2, 2:4\\\", \\\"array_indexing_6\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 392,\n       \"width\": 352\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"show_array((4, 4), \\\"::2, ::2\\\", \\\"array_indexing_7\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 392,\n       \"width\": 352\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"show_array((4, 4), \\\"1::2, 1::2\\\", \\\"array_indexing_8\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 392,\n       \"width\": 352\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"show_array((4, 4), \\\":,[0,3]\\\", \\\"array_indexing_9\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 392,\n       \"width\": 352\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"show_array((4, 4), \\\"[1,3],[0,3]\\\", \\\"array_indexing_10\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 392,\n       \"width\": 363\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"show_array((4, 4), \\\":,np.array([False, True, True, False])\\\", \\\"array_indexing_11\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 392,\n       \"width\": 363\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"show_array((4, 4), \\\":,np.array([False, True, True, False])\\\", \\\"array_indexing_12\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 392,\n       \"width\": 384\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"show_array((4, 4), \\\"1:3,np.array([False, True, True, False])\\\", \\\"array_indexing_12\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Summary\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"<table border=0>\\n\",\n    \"<tr>\\n\",\n    \"<td><img src=\\\"./array_indexing_1.svg\\\"></td>\\n\",\n    \"<td><img src=\\\"./array_indexing_2.svg\\\"></td>\\n\",\n    \"<td><img src=\\\"./array_indexing_3.svg\\\"></td>\\n\",\n    \"<td><img src=\\\"./array_indexing_4.svg\\\"></td>\\n\",\n    \"</tr>\\n\",\n    \"<tr>\\n\",\n    \"<td><img src=\\\"./array_indexing_5.svg\\\"></td>\\n\",\n    \"<td><img src=\\\"./array_indexing_6.svg\\\"></td>\\n\",\n    \"<td><img src=\\\"./array_indexing_7.svg\\\"></td>\\n\",\n    \"<td><img src=\\\"./array_indexing_8.svg\\\"></td>\\n\",\n    \"</tr>\\n\",\n    \"<tr>\\n\",\n    \"<td><img src=\\\"./array_indexing_9.svg\\\"></td>\\n\",\n    \"<td><img src=\\\"./array_indexing_10.svg\\\"></td>\\n\",\n    \"<td><img src=\\\"./array_indexing_11.svg\\\"></td>\\n\",\n    \"<td><img src=\\\"./array_indexing_12.svg\\\"></td>\\n\",\n    \"</tr>\\n\",\n    \"</table>\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Aggregation\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data = np.arange(9).reshape(3,3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0, 1, 2],\\n\",\n       \"       [3, 4, 5],\\n\",\n       \"       [6, 7, 8]])\"\n      ]\n     },\n     \"execution_count\": 20,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"36\"\n      ]\n     },\n     \"execution_count\": 21,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.sum()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 9, 12, 15])\"\n      ]\n     },\n     \"execution_count\": 22,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.sum(axis=0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 3, 12, 21])\"\n      ]\n     },\n     \"execution_count\": 23,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.sum(axis=1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def show_array_aggregation(data, axis, filename=None):\\n\",\n    \"    \\\"\\\"\\\"Visualize indexing of arrays\\\"\\\"\\\"\\n\",\n    \"   \\n\",\n    \"    fig, axes = plt.subplots(2, 1, figsize=(4, 8))\\n\",\n    \"\\n\",\n    \"    \\n\",\n    \"    ax = axes[0]\\n\",\n    \"    ax.patch.set_facecolor('black')\\n\",\n    \"    #ax.set_aspect('equal', 'box')\\n\",\n    \"    ax.xaxis.set_major_locator(plt.NullLocator())\\n\",\n    \"    ax.yaxis.set_major_locator(plt.NullLocator())\\n\",\n    \"\\n\",\n    \"    \\n\",\n    \"    colors = ['#1199ff', '#ee3311', '#66ff22']\\n\",\n    \"    \\n\",\n    \"    for (m, n), w in np.ndenumerate(data):\\n\",\n    \"        size = 0.97\\n\",\n    \"        color = '#1199ff' if w > 0 else '#eeeeee'\\n\",\n    \"        color = '#eeeeee'\\n\",\n    \"        rect = plt.Rectangle([n - size / 2, m - size / 2],\\n\",\n    \"                             size, size,\\n\",\n    \"                             facecolor=color,\\n\",\n    \"                             edgecolor=color)\\n\",\n    \"        ax.add_patch(rect)\\n\",\n    \"        if axis is None:\\n\",\n    \"            color = '#1199ff'\\n\",\n    \"        elif axis == 1:\\n\",\n    \"            color = colors[m]\\n\",\n    \"        else:\\n\",\n    \"            color = colors[n]\\n\",\n    \"            \\n\",\n    \"        size = 0.8\\n\",\n    \"        rect = plt.Rectangle([n - size / 2, m - size / 2],\\n\",\n    \"                             size, size,\\n\",\n    \"                             facecolor=color,\\n\",\n    \"                             edgecolor=color)\\n\",\n    \"        ax.add_patch(rect)\\n\",\n    \"\\n\",\n    \"        ax.text(n, m, \\\"%d\\\" % data[m, n], ha='center', va='center', fontsize=12)\\n\",\n    \"        \\n\",\n    \"    ax.autoscale_view()\\n\",\n    \"    ax.set_xlim(-.5, 2.5)\\n\",\n    \"    ax.set_ylim(-.5, 2.5)\\n\",\n    \"    ax.invert_yaxis()\\n\",\n    \"    ax.set_title(\\\"data\\\", fontsize=12)\\n\",\n    \"\\n\",\n    \"    if False:\\n\",\n    \"        ax = axes[1]\\n\",\n    \"        ax.set_frame_on(False)\\n\",\n    \"        ax.patch.set_facecolor('white')\\n\",\n    \"        ax.xaxis.set_major_locator(plt.NullLocator())\\n\",\n    \"        ax.yaxis.set_major_locator(plt.NullLocator())\\n\",\n    \"        ax.set_xlim(0, 3)\\n\",\n    \"        ax.set_ylim(0, 3)\\n\",\n    \"\\n\",\n    \"        if axis is not None:\\n\",\n    \"            ax.text(1.5, 1.5, \\\"data.sum(axis=%d)\\\" % axis, ha='center', va='center', fontsize=18)        \\n\",\n    \"        else:\\n\",\n    \"            ax.text(1.5, 1.5, \\\"data.sum()\\\", ha='center', va='center', fontsize=18)        \\n\",\n    \"\\n\",\n    \"        ax.arrow(0.3, 1.25, 2.1, 0.0, head_width=0.1, head_length=0.2, fc='k', ec='k')\\n\",\n    \"\\n\",\n    \"    if axis == 0:\\n\",\n    \"        adata = data.sum(axis=axis)[:, np.newaxis]\\n\",\n    \"    elif axis == 1:\\n\",\n    \"        adata = data.sum(axis=axis)[:, np.newaxis]\\n\",\n    \"    else:\\n\",\n    \"        adata = np.atleast_2d(data.sum(axis=axis))\\n\",\n    \"        \\n\",\n    \"    ax = axes[1]\\n\",\n    \"    ax.set_frame_on(False)\\n\",\n    \"    ax.patch.set_facecolor('white')\\n\",\n    \"    ax.xaxis.set_major_locator(plt.NullLocator())\\n\",\n    \"    ax.yaxis.set_major_locator(plt.NullLocator())\\n\",\n    \"    \\n\",\n    \"    \\n\",\n    \"    colors = ['#1199ff', '#ee3311', '#66ff22']\\n\",\n    \"    \\n\",\n    \"    for (m, n), w in np.ndenumerate(data):\\n\",\n    \"        size = 1.0\\n\",\n    \"        color = '#ffffff'\\n\",\n    \"        rect = plt.Rectangle([n - size / 2, m - size / 2],\\n\",\n    \"                         size, size,\\n\",\n    \"                         facecolor=color,\\n\",\n    \"                         edgecolor=color)\\n\",\n    \"        ax.add_patch(rect)        \\n\",\n    \"    \\n\",\n    \"    for (m, n), w in np.ndenumerate(adata):\\n\",\n    \"\\n\",\n    \"        if axis is None:\\n\",\n    \"            size = 1.0\\n\",\n    \"            color = '#000000'\\n\",\n    \"            rect = plt.Rectangle([1+m - size / 2, 0 + n - size / 2],\\n\",\n    \"                             size, size,\\n\",\n    \"                             facecolor=color,\\n\",\n    \"                             edgecolor=color)\\n\",\n    \"            ax.add_patch(rect)        \\n\",\n    \"            size = 0.97\\n\",\n    \"            color = '#eeeeee'\\n\",\n    \"\\n\",\n    \"            \\n\",\n    \"            rect = plt.Rectangle([1+m - size / 2, 0 + n - size / 2],\\n\",\n    \"                                 size, size,\\n\",\n    \"                                 facecolor=color,\\n\",\n    \"                                 edgecolor=color)\\n\",\n    \"            ax.add_patch(rect)\\n\",\n    \"\\n\",\n    \"            \\n\",\n    \"            if axis is None:\\n\",\n    \"                color = '#1199ff'\\n\",\n    \"            elif axis == 1:\\n\",\n    \"                color = colors[n]\\n\",\n    \"            else:\\n\",\n    \"                color = colors[m]\\n\",\n    \"\\n\",\n    \"            size = 0.8\\n\",\n    \"            rect = plt.Rectangle([1+m - size / 2, 0 + n - size / 2],\\n\",\n    \"                                 size, size,\\n\",\n    \"                                 facecolor=color,\\n\",\n    \"                                 edgecolor=color)\\n\",\n    \"            ax.add_patch(rect)\\n\",\n    \"\\n\",\n    \"            \\n\",\n    \"            if n == 0:\\n\",\n    \"                ax.text(1+m, n+0, \\\"%d\\\" % adata[m, n], ha='center', va='center', fontsize=10)\\n\",\n    \"\\n\",\n    \"            \\n\",\n    \"        if axis == 0:\\n\",\n    \"            size = 1.0\\n\",\n    \"            color = '#000000'\\n\",\n    \"            rect = plt.Rectangle([m - size / 2, 0 + n - size / 2],\\n\",\n    \"                             size, size,\\n\",\n    \"                             facecolor=color,\\n\",\n    \"                             edgecolor=color)\\n\",\n    \"            ax.add_patch(rect)        \\n\",\n    \"            size = 0.97\\n\",\n    \"            color = '#eeeeee'\\n\",\n    \"\\n\",\n    \"            \\n\",\n    \"            rect = plt.Rectangle([m - size / 2, 0 + n - size / 2],\\n\",\n    \"                                 size, size,\\n\",\n    \"                                 facecolor=color,\\n\",\n    \"                                 edgecolor=color)\\n\",\n    \"            ax.add_patch(rect)\\n\",\n    \"\\n\",\n    \"            \\n\",\n    \"            if axis is None:\\n\",\n    \"                color = '#1199ff'\\n\",\n    \"            elif axis == 1:\\n\",\n    \"                color = colors[n]\\n\",\n    \"            else:\\n\",\n    \"                color = colors[m]\\n\",\n    \"\\n\",\n    \"            size = 0.8\\n\",\n    \"            rect = plt.Rectangle([m - size / 2, 0 + n - size / 2],\\n\",\n    \"                                 size, size,\\n\",\n    \"                                 facecolor=color,\\n\",\n    \"                                 edgecolor=color)\\n\",\n    \"            ax.add_patch(rect)\\n\",\n    \"\\n\",\n    \"            \\n\",\n    \"            if n == 0:\\n\",\n    \"                ax.text(m, n+0, \\\"%d\\\" % adata[m, n], ha='center', va='center', fontsize=10)\\n\",\n    \"\\n\",\n    \"        if axis == 1:\\n\",\n    \"            size = 1.0\\n\",\n    \"            color = '#000000'\\n\",\n    \"            rect = plt.Rectangle([0 + m - size / 2, n - size / 2],\\n\",\n    \"                             size, size,\\n\",\n    \"                             facecolor=color,\\n\",\n    \"                             edgecolor=color)\\n\",\n    \"            ax.add_patch(rect)        \\n\",\n    \"            size = 0.97\\n\",\n    \"            color = '#eeeeee'\\n\",\n    \"\\n\",\n    \"            rect = plt.Rectangle([0 + m - size / 2, n - size / 2],\\n\",\n    \"                                 size, size,\\n\",\n    \"                                 facecolor=color,\\n\",\n    \"                                 edgecolor=color)\\n\",\n    \"\\n\",\n    \"            ax.add_patch(rect)\\n\",\n    \"\\n\",\n    \"            if axis is None:\\n\",\n    \"                color = '#1199ff'\\n\",\n    \"            elif axis == 1:\\n\",\n    \"                color = colors[m]\\n\",\n    \"            else:\\n\",\n    \"                color = colors[m]\\n\",\n    \"\\n\",\n    \"            size = 0.8\\n\",\n    \"            rect = plt.Rectangle([0 + m - size / 2, n - size / 2],\\n\",\n    \"                                 size, size,\\n\",\n    \"                                 facecolor=color,\\n\",\n    \"                                 edgecolor=color)\\n\",\n    \"            ax.add_patch(rect)\\n\",\n    \"            \\n\",\n    \"            if axis == 0 and m == 0:\\n\",\n    \"                ax.text(m+0, n, \\\"%d\\\" % adata[m, n], ha='center', va='center', fontsize=12)\\n\",\n    \"            if axis == 1 and n == 0:\\n\",\n    \"                ax.text(m, n+0, \\\"%d\\\" % adata[m, n], ha='center', va='center', fontsize=10)\\n\",\n    \"\\n\",\n    \"    ax.autoscale_view()\\n\",\n    \"    ax.set_xlim(-.5, 2.5)\\n\",\n    \"    ax.set_ylim(-.5, 2.5)\\n\",\n    \"    ax.invert_yaxis()\\n\",\n    \"    if axis is not None:\\n\",\n    \"        ax.set_title(\\\"data.sum(axis=%d)\\\" % axis, fontsize=12)\\n\",\n    \"    else:\\n\",\n    \"        ax.set_title(\\\"data.sum()\\\", fontsize=12)\\n\",\n    \"    \\n\",\n    \"    fig.tight_layout()\\n\",\n    \"    \\n\",\n    \"    if filename:\\n\",\n    \"        fig.savefig(filename + \\\".png\\\", dpi=200)\\n\",\n    \"        fig.savefig(filename + \\\".svg\\\")\\n\",\n    \"        fig.savefig(filename + \\\".pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[1, 2, 3],\\n\",\n       \"       [4, 5, 6],\\n\",\n       \"       [7, 8, 9]])\"\n      ]\n     },\n     \"execution_count\": 25,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data = np.arange(1,10).reshape(3,3)\\n\",\n    \"data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([12, 15, 18])\"\n      ]\n     },\n     \"execution_count\": 26,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.sum(axis=0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x800 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 790,\n       \"width\": 390\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"show_array_aggregation(data, None, filename=\\\"array_aggregation_1\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x800 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 790,\n       \"width\": 390\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"show_array_aggregation(data, 0, filename=\\\"array_aggregation_2\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x800 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 790,\n       \"width\": 390\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"show_array_aggregation(data, 1, filename=\\\"array_aggregation_3\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Broadcasting\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def show_array_broadcasting(a, b, filename=None):\\n\",\n    \"    \\\"\\\"\\\"Visualize broadcasting of arrays\\\"\\\"\\\"\\n\",\n    \"\\n\",\n    \"    c = a + b\\n\",\n    \"    \\n\",\n    \"    fig, axes = plt.subplots(1, 3, figsize=(12, 4))\\n\",\n    \"\\n\",\n    \"    data = a\\n\",\n    \"    ax = axes[0]\\n\",\n    \"    ax.patch.set_facecolor('black')\\n\",\n    \"    ax.xaxis.set_major_locator(plt.NullLocator())\\n\",\n    \"    ax.yaxis.set_major_locator(plt.NullLocator())\\n\",\n    \"    colors = ['#1199ff', '#ee3311', '#66ff22']\\n\",\n    \"    for (m, n), w in np.ndenumerate(data):\\n\",\n    \"        size = 0.97\\n\",\n    \"        color = '#1199ff'\\n\",\n    \"        rect = plt.Rectangle([n - size / 2, m - size / 2],\\n\",\n    \"                             size, size,\\n\",\n    \"                             facecolor=color,\\n\",\n    \"                             edgecolor=color)\\n\",\n    \"        ax.add_patch(rect)\\n\",\n    \"        ax.text(m, n, \\\"%d\\\" % data[n, m], ha='center', va='center', fontsize=12)        \\n\",\n    \"    ax.text(2.8, 1, \\\"+\\\", ha='center', va='center', fontsize=22)        \\n\",\n    \"    ax.autoscale_view()\\n\",\n    \"    ax.set_xlim(-.5, 2.5)\\n\",\n    \"    ax.set_ylim(-.5, 2.5)\\n\",\n    \"    ax.invert_yaxis()\\n\",\n    \"    \\n\",\n    \"    data = np.zeros_like(a) + b\\n\",\n    \"    ax = axes[1]\\n\",\n    \"    ax.patch.set_facecolor('black')\\n\",\n    \"    ax.xaxis.set_major_locator(plt.NullLocator())\\n\",\n    \"    ax.yaxis.set_major_locator(plt.NullLocator())\\n\",\n    \"    colors = ['#1199ff', '#ee3311', '#66ff22']\\n\",\n    \"    for (m, n), w in np.ndenumerate(data):\\n\",\n    \"        size = 0.97\\n\",\n    \"        color = '#eeeeee'\\n\",\n    \"        rect = plt.Rectangle([n - size / 2, m - size / 2],\\n\",\n    \"                             size, size,\\n\",\n    \"                             facecolor=color,\\n\",\n    \"                             edgecolor=color)\\n\",\n    \"        ax.add_patch(rect)\\n\",\n    \"        if (np.argmax(b.T.shape) == 0 and m == 0) or (np.argmax(b.T.shape) == 1 and n == 0):\\n\",\n    \"            color = '#1199ff'\\n\",\n    \"            #size = 0.8\\n\",\n    \"            rect = plt.Rectangle([n - size / 2, m - size / 2],\\n\",\n    \"                                 size, size,\\n\",\n    \"                                 facecolor=color,\\n\",\n    \"                                 edgecolor=color)\\n\",\n    \"            ax.add_patch(rect)\\n\",\n    \"        ax.text(m, n, \\\"%d\\\" % data[n, m], ha='center', va='center', fontsize=12)        \\n\",\n    \"    ax.text(2.8, 1, \\\"=\\\", ha='center', va='center', fontsize=22)        \\n\",\n    \"    ax.autoscale_view()\\n\",\n    \"    ax.set_xlim(-.5, 2.5)\\n\",\n    \"    ax.set_ylim(-.5, 2.5)\\n\",\n    \"    ax.invert_yaxis()\\n\",\n    \"\\n\",\n    \"    \\n\",\n    \"    data = c\\n\",\n    \"    ax = axes[2]\\n\",\n    \"    ax.patch.set_facecolor('black')\\n\",\n    \"    ax.xaxis.set_major_locator(plt.NullLocator())\\n\",\n    \"    ax.yaxis.set_major_locator(plt.NullLocator())\\n\",\n    \"    colors = ['#1199ff', '#ee3311', '#66ff22']\\n\",\n    \"    for (m, n), w in np.ndenumerate(data):\\n\",\n    \"        size = 0.97\\n\",\n    \"        color = '#1199ff' if w > 0 else '#eeeeee'\\n\",\n    \"        color = '#eeeeee'\\n\",\n    \"        rect = plt.Rectangle([n - size / 2, m - size / 2],\\n\",\n    \"                             size, size,\\n\",\n    \"                             facecolor=color,\\n\",\n    \"                             edgecolor=color)\\n\",\n    \"        ax.add_patch(rect)\\n\",\n    \"        color = '#1199ff'\\n\",\n    \"        #size = 0.8\\n\",\n    \"        rect = plt.Rectangle([n - size / 2, m - size / 2],\\n\",\n    \"                             size, size,\\n\",\n    \"                             facecolor=color,\\n\",\n    \"                             edgecolor=color)\\n\",\n    \"        ax.add_patch(rect)\\n\",\n    \"        ax.text(m, n, \\\"%d\\\" % data[n, m], ha='center', va='center', fontsize=12)        \\n\",\n    \"    ax.autoscale_view()\\n\",\n    \"    ax.set_xlim(-.5, 2.5)\\n\",\n    \"    ax.set_ylim(-.5, 2.5)\\n\",\n    \"    ax.invert_yaxis()\\n\",\n    \"    \\n\",\n    \"    #fig.tight_layout()\\n\",\n    \"        \\n\",\n    \"    if filename:\\n\",\n    \"        fig.savefig(filename + \\\".png\\\", dpi=200)\\n\",\n    \"        fig.savefig(filename + \\\".svg\\\")\\n\",\n    \"        fig.savefig(filename + \\\".pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"a = np.array([[11, 12, 13], [21, 22, 23], [31, 32, 33]])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 32,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"b = np.array([[1, 2, 3]])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 33,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 328,\n       \"width\": 950\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"show_array_broadcasting(a, b, filename=\\\"array_broadcasting_1\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 34,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 328,\n       \"width\": 950\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"show_array_broadcasting(a, b.T, filename=\\\"array_broadcasting_2\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Versions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 35,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%reload_ext version_information\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 36,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/json\": {\n       \"Software versions\": [\n        {\n         \"module\": \"Python\",\n         \"version\": \"3.10.12 64bit [Clang 14.0.6 ]\"\n        },\n        {\n         \"module\": \"IPython\",\n         \"version\": \"8.12.0\"\n        },\n        {\n         \"module\": \"OS\",\n         \"version\": \"macOS 10.15.7 x86_64 i386 64bit\"\n        },\n        {\n         \"module\": \"numpy\",\n         \"version\": \"1.22.3\"\n        },\n        {\n         \"module\": \"matplotlib\",\n         \"version\": \"3.7.1\"\n        }\n       ]\n      },\n      \"text/html\": [\n       \"<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.10.12 64bit [Clang 14.0.6 ]</td></tr><tr><td>IPython</td><td>8.12.0</td></tr><tr><td>OS</td><td>macOS 10.15.7 x86\\\\_64 i386 64bit</td></tr><tr><td>numpy</td><td>1.22.3</td></tr><tr><td>matplotlib</td><td>3.7.1</td></tr><tr><td colspan='2'>Sat Nov 02 18:04:57 2024 JST</td></tr></table>\"\n      ],\n      \"text/latex\": [\n       \"\\\\begin{tabular}{|l|l|}\\\\hline\\n\",\n       \"{\\\\bf Software} & {\\\\bf Version} \\\\\\\\ \\\\hline\\\\hline\\n\",\n       \"Python & 3.10.12 64bit [Clang 14.0.6 ] \\\\\\\\ \\\\hline\\n\",\n       \"IPython & 8.12.0 \\\\\\\\ \\\\hline\\n\",\n       \"OS & macOS 10.15.7 x86\\\\_64 i386 64bit \\\\\\\\ \\\\hline\\n\",\n       \"numpy & 1.22.3 \\\\\\\\ \\\\hline\\n\",\n       \"matplotlib & 3.7.1 \\\\\\\\ \\\\hline\\n\",\n       \"\\\\hline \\\\multicolumn{2}{|l|}{Sat Nov 02 18:04:57 2024 JST} \\\\\\\\ \\\\hline\\n\",\n       \"\\\\end{tabular}\\n\"\n      ],\n      \"text/plain\": [\n       \"Software versions\\n\",\n       \"Python 3.10.12 64bit [Clang 14.0.6 ]\\n\",\n       \"IPython 8.12.0\\n\",\n       \"OS macOS 10.15.7 x86_64 i386 64bit\\n\",\n       \"numpy 1.22.3\\n\",\n       \"matplotlib 3.7.1\\n\",\n       \"Sat Nov 02 18:04:57 2024 JST\"\n      ]\n     },\n     \"execution_count\": 36,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%version_information numpy, matplotlib\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": []\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3 (ipykernel)\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "ch03-code-listing.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Chapter 3: Symbolic computing\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import sympy\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"sympy.init_printing()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from sympy import I, pi, oo\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = sympy.Symbol(\\\"x\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"y = sympy.Symbol(\\\"y\\\", real=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"True\"\n      ]\n     },\n     \"execution_count\": 6,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"y.is_real\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"True\"\n      ]\n     },\n     \"execution_count\": 7,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x.is_real is None\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"False\"\n      ]\n     },\n     \"execution_count\": 8,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.Symbol(\\\"z\\\", imaginary=True).is_real\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = sympy.Symbol(\\\"x\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"y = sympy.Symbol(\\\"y\\\", positive=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\sqrt{x^{2}}$\"\n      ],\n      \"text/plain\": [\n       \"   ____\\n\",\n       \"  ╱  2 \\n\",\n       \"╲╱  x  \"\n      ]\n     },\n     \"execution_count\": 11,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.sqrt(x ** 2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAAsAAAANCAYAAAB/9ZQ7AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA8klEQVQoFXWS4Q2CQAyFi3EAZ9ANnEE3UEdwBcMv+GdwA3ECoxvoBkY20A00bIDva+4AE23Sa/t4LY8eSdM0luf5yMzW8on8oXqn6BaeHRSXg4ClgXBRnQYshpWSBcVApLHijUI2lz896w6wKyWT32o4U8iYcvSsO2ZKeaNPrknUAIj2khoTNlUAayeDY0t5JYI3O2LGgFpYRR0/kBztf/VC6JO/iJrG1FYv5CFHsI0i+ywUX3J2jrlez7iUX55lWSG/95+5DE3by+/erUM5G+BGtxEjRs1o6+/3oLpUU9w/XEvCv8F1sg0MrScRO60Om30Aa7RlfSPkRy8AAAAASUVORK5CYII=\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle y$\"\n      ],\n      \"text/plain\": [\n       \"y\"\n      ]\n     },\n     \"execution_count\": 12,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.sqrt(y ** 2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"n1, n2, n3 = sympy.Symbol(\\\"n\\\"), sympy.Symbol(\\\"n\\\", integer=True), sympy.Symbol(\\\"n\\\", odd=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\cos{\\\\left(\\\\pi n \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"cos(π⋅n)\"\n      ]\n     },\n     \"execution_count\": 14,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.cos(n1 * pi)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left(-1\\\\right)^{n}$\"\n      ],\n      \"text/plain\": [\n       \"    n\\n\",\n       \"(-1) \"\n      ]\n     },\n     \"execution_count\": 15,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.cos(n2 * pi)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAABgAAAAOCAYAAAA1+Nx+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAiElEQVQ4EWP8//8/A7VAQ0ODEdCs1UBsDGR/AJnLAiIoAUCDBID6ZwPxOyA2AWIlIIYDalgAcmkoyESgZWVACuQLOGCCs2jEGLWAYMDSPIhYoMlsL9ApoORGLAgF6jtHjGKQBaBkZkyMYnLU0DyIhr4FjNQo7IDxCCrgQIkEVBaB6HtADEoEpwEsISASVdEGngAAAABJRU5ErkJggg==\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle -1$\"\n      ],\n      \"text/plain\": [\n       \"-1\"\n      ]\n     },\n     \"execution_count\": 16,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.cos(n3 * pi)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"a, b, c = sympy.symbols(\\\"a, b, c\\\", negative=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"d, e, f = sympy.symbols(\\\"d, e, f\\\", positive=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Numbers\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"i = sympy.Integer(19)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"\\\"i = 19 [type <class 'sympy.core.numbers.Integer'>]\\\"\"\n      ]\n     },\n     \"execution_count\": 20,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"\\\"i = {} [type {}]\\\".format(i, type(i))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(True, True, True)\"\n      ]\n     },\n     \"execution_count\": 21,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"i.is_Integer, i.is_real, i.is_odd\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"f = sympy.Float(2.3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"\\\"f = 2.30000000000000 [type <class 'sympy.core.numbers.Float'>]\\\"\"\n      ]\n     },\n     \"execution_count\": 23,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"\\\"f = {} [type {}]\\\".format(f, type(f))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(False, True, False)\"\n      ]\n     },\n     \"execution_count\": 24,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f.is_Integer, f.is_real, f.is_odd\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"i, f = sympy.sympify(19), sympy.sympify(2.3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"sympy.core.numbers.Integer\"\n      ]\n     },\n     \"execution_count\": 26,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(i)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"sympy.core.numbers.Float\"\n      ]\n     },\n     \"execution_count\": 27,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(f)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"n = sympy.Symbol(\\\"n\\\", integer=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(True, False, None, True)\"\n      ]\n     },\n     \"execution_count\": 29,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"n.is_integer, n.is_Integer, n.is_positive, n.is_Symbol\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"i = sympy.Integer(19)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(True, True, True, False)\"\n      ]\n     },\n     \"execution_count\": 31,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"i.is_integer, i.is_Integer, i.is_positive, i.is_Symbol\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 32,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 8663234049605954426644038200675212212900743262211018069459689001$\"\n      ],\n      \"text/plain\": [\n       \"8663234049605954426644038200675212212900743262211018069459689001\"\n      ]\n     },\n     \"execution_count\": 32,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"i ** 50\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 33,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAABmYAAAAPCAYAAAD+kXCzAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAeoElEQVR4Ae2d4bXkxLWF27MIYBhHYDsDGDIwGQzPEWBnAIt//GNBBpgIjJ0BdgTAZGC/CMCTwby9das0JalU5zvd0rswq2stXUmlXfucs8+pUt/W7du/ef369eXeYgU+//zz97S9bJE6f6rzZ9r/p+2/H48VuGs51udtu/o25Vux/F75+aO2b3X86m3L1V48Z8X9NtXGnnb3/l+fAve6PC5nj6Vlds16LD+PU/rOZAXuefz110F27h4d8Rk1dAbn0XE/Nt8vXaPHrsvHys+vJe6Mn49Za49pO1NDvxY/MzHdsXcF7grcFfglK/BO65wW4a+b82c6/lh9izcfde43Jv9ScH4w4fMv1f/P0jftkrhPy9jn2v+s7VONXzwEKdenna592Z7r+G8tvtjGnMK/J46/a3tfx4t4Gzv/0jXHW/3ysdv7D7v+z8L9F+2rZl3gCKdrSHMTCxvmsOfAyH6Lj3Dl+iFaistxZ/I4rAvHIU7n7TNtP2n7rTaf/139i/pV39TUT2qjYol9lB/ZpTikkfhQDQmH9Ulg03NH3EMtSzyH1kZJ+SWw7Xpwbr4Wrg5p96/U/27taLhcb3/Q5rWy+yA3g2347c/u+iJOWkdV7z0/U3Gv/ButB7g2aCyN7RpT7VrfJzK1juZZNdTksnYtbNfOuhd+N4+6dvjcXdkd5WeCRvEUH/F8NKnGOObQ9uTAG/yo1of5No9s0pzjuiy84TyTbVxDwoZ8tlub8MPYi+36GsQa2BevRYv7ns6pPpNp4YmfWMviJ64j4Uc1lF2zMn6SuC9Qn4yWmFO26bqB6rLwZXJzhkajfE866gfOowcoruHcqaQNbu8eaS48f4RF+lT7da9x1mC0DhKNKp19HvIZKMxQI11HtVaNCh/Fbp+MQa+zzBv5aExtwkYanVFDWc7IR8eM6k04OscRX9XRe3GT2qDrBtKoxBPez6qfkY8N7tC6lN2IbzJd4kEaNbHsrkMmFQ7lEtpOzUfIaR9pXdL1JeMnqrUTtDQltm2wm7QK1wOCEw+qi8ko9JPmsXBOOxKPMHVtiWodzbNqn9g2trFfhy5+j9P1jJYTR8RZDdW98M776H5PNToUZ/+aWKL8/OJt3+OxAtP7orvvU9F837W8TcvpwYzE9uLyoza/CP6qiOrF4H917ocV0xuJBeeHJvUF0UXHfxbuO+0/0vaPMtZ8BOebrd8c+Mjj3HTsCfyj9h9qW79pYPx32rxITde09xs73lxMF50jTuHs4zfa/CDID4Q8btSM82ZdrIdj/UI8r7QfNftWH+akccVPoiXK4cCBq/08Q0txojw6noId1kUTt+ttrt8y3g9mnmpr6xfXBrFvftmicyzEFb+RRsV2WENFo1CfgvOOYvHcgVqiuO0g4TPODWI/ENTz2WuA42qbP0lTf7kyn/PoNaKtq7q2LR7OZLCtQR135634UL2ZC9rOxG3bdP6EtZGJpcTj+iDrAapf2T+l3uxr00Z5PHTuFj1RfkrsQy2T+mRqo5FnOtzTiObbJCjnwoV1abKiZbheU40on227Fd4oP9b8jBoK456c5FqieVY0IvWL1yzqJ80PxdkuxVJcwxnmXJxUc4RrbIe1QeMpOJJvm3ejcxevG/KB3svD9YXG/RBK9+dmHbxCo5Z4w1cvijfUqNgOa82cBRvWhqB47hIfG9u0jg6vIfkQchZ9qI8Oi9QbnruEz0bdiO4FYx8/ehg1jdv9HV8YqhGtt7B+Syz09TKqS8VL+S4ZjYSl65DDOrI2UNxFS1RvNG7hMq9fsJ/yNaw1x1PakVqaEtkusYfrAcXRWAoO+UnzaLKMn8KGtV74yP0kaxutGwoprAvH7SZfKefDgDc/R/fnUKNi+1DcGZzSB/l4hu0zOO/xxO99UY0o7ow8nsEZxVM/MeOF3/+Sa3ooUxx5qfMfdOw3Gusb2X4I82f1+0HM9Gajzr/V5qfVn2mrfRTnF2gfa5ubeP2Cy+O9GM1/eV4A7vunrrcPbHzTbt/kRJzieKVx04tFHX+iYz9wGTXrMeFHoPZa4W27uscBjmpJc7jxIbA/4/dw6j9DS5TH4hypi4v8tJZe/NfNNfgvbfUN9Gw8xD7ND8U5BqoRqiGqjw1nsIJn5g7RksZtVwmfcW4E6wd4m0/Jqc8vuqxLrSFrPj/sK9f8aRpf93r5ofvc1IexDyMefmqc1629huooYRvFbWfEmZk/pDZQLI0QYR5L3OFaUDjPqreJXr6M8njG3M3kJ9RSQWB9krUxpzTQiPh4EYe1pDkndWn/aG1SjShf1YbEfngNJeK2n1RLpFGihvCaVcQkftL8UJxNUyzFmRPlXDikeQJn29RPhEvk27bdSB6NI3OnrhvhvTyxvqC47eC6yUb3XnGFRhP1Hl9jl2hEa820NPbM3CU+XpIaHVpDRc+QM+OjsPR+huZ4gq+WB9Ed2a6E2ocaCZOpN+KjzR9dl5TPtpFGJT/hOmTCRC6RbVFm5iPlpLhMvjN+klo7Q0uniNpGr9WVb4qja4Z9dCN+0jxay4yfpNbxPKO2H8KOXxuIL6slXYuKC9M87t7vDSj2Q42Oxr1ttu/xxO9T0Rq6a3mMlk8spNoLbe3DjalTP15q8+JTm8+9sHqbmhI2H9c+7SnOf2H+X3E8bcb60A9evOBMb3a6Q8f20Q9P5r9IL/3+ZM38Jqf6MKfHn9Xkk31daNWzBXBUS5rDhRvA/oSnuAX5bScoj/KL1oW98aeqUg/XohAS9ml+KM6uIY2EozWU0SeDjWScrie0RHEn+C4J7Hc7waz/csZ1Zt3X7Xt1/FH22jUvg534ND5aX2gdUds07nW8R5zTWDJ5zNTv4fVWRQF5PGPuVvPDvXyz7o9+zx1plPDRsWZyPtSmuUhrE9WQeCnfJRH7GTWE/Wy0ig6pRhFPvX7GmkXjpjj7SrEUZ06ac6o5xZ0Vj3kPa4m5Y5v0HknXl0we55jlc3TPn7HkIOJLaERrzW7R2NHcTfhIJElhHtN2cZTWG527lO+SiJ3azmiP6i3ho20fWpcJPtumGtF1yJw0l9Q2mo82rEY5KQ7l+8H09En5crjYrX8/W1wMTo7WMjB36mUaS8YJmscMJ611Om+x7cS6gbVMcM5+akx0v6caHY2zj0dzUr4zbJ/BeY/Hqi7b+r0vqhHF2RrFUtwZnKHtJ5r89Q3Cn5caTmc/+WdZILz3p1Xe9b5ideyF0W3+H48UpzHm+Y/wfoDRa9U3X/Mncl4NsHV8hrOOOWP/J/n6V0A8xBEthak6hTns+DO03+Aprhly0yHNI60LO+MXl35T3J/4qpq533/xMdevOxIttN/YGuaH4hrfkEbiRfNWvBl9MtjG5eFhqGUZjeIWlvKZFmGlZf1UYHFlWh9dP1/MHQ8HfrHay3dd63y9tgy2jtmdj8k6QrYTcVf/DtknY7FNlEfhMvV7Rr1VfXbzaIDiP2PuVtvRnmpJ9Yns7V0faUR9NHcm53u+zP3J2gw1SvLZDxT70TV0hZ+zZsFBqFEwfnFZftK1ejFu74TGTXG2Q7EUV30Xnq4bVHOEo35SXI3nhD2aO8UuukcKG64vN8Y9WgevkSjiQxrRWsvELiydu8jHa8QBYx7Ttt0L663EgOZugs+0NHZqu7ga72i9UR+PrssMX4mWakTXIdMeWhuJ+WjbNB6ES+T7kvTTvpJ2qJbE4IkYGkvGBZTHDKGwYa0r1/U9nN7v2Yv3LpO26dqW0ZJytq5G9+dQo0J2NM60R3NSvjNsn8F5j8eqLtv6vS+qEcXZGsVS3Bmcoe13tLj5YYeNP/OPVfOXo7v1rl00zgb8pqS/82X3IcQeTv1+ctRrflJ80fWXzUX3+WOV3v9JmxdeP7FefHF7klPDeRO3Pz1Ubwa27e/kaX2cyNTnjx9+PZ0MflBcS6ExG83Vd1UOqX2Ka/2MjsU51FLXaW2gurA/4vSbFf6Fzw8T/Uktf/rKeWz/NZ9OUy20LzsoP8K5vm38WceDzVwUlmq0oNO4TQ0ZoH6sTwZbuIf5Lg6GWhYuGjfiy9gu2HknHfypvve0nz/Jp+O6Rsy4zsGU4wy2cmjMcH3RdVpv2M9qu+5lYxN3vZbdi2u3NmgsjU2Uc/Fmav2MervIh2Eem5jmQ425ee7OZPEB1ZLqE1tcIYBGyEfTigvnvOB367JcR/OsYJFG8tHwaW3wQdM267+u4dgbHutwUw1pPI672tWYoZbGCYM0qpzZvfjDNWvkp66huIXD9/EzOHu6yM5ezpHmGk9xh2vUiyfqk79RvaG5Ix58jxQ2XF+EQfqs49O49L1izdGeQz6kUcvrY3Hv1dpVsRfOvbl7lY9rn3vniuOQGmq5AWcLHx6LK6w3EwhH5y7iK04h3antNlCNiXRv4Y6vW28CUR8PrUv5k+ITPsyPMHgdsjjCo1wS2wuxy4nG7c1H2w7jKT4i3Nq++PfyvYbal10/iw9hrYnjFC3FG9reBHRjB42lNRP5qetX5bG10R6LD9W6cKl51toIjum6geqi2EKc1S/FNrzfJzSiWiKc/XubbN/jqRW3u/dXnNxrY1ee6QLWiGr5pNjzm9W+ga2bFxO3xTWR+41ILxz+7hk/mPhB26ZRXDvQY3Rue3tvdD4X5lNtX2mzfT+YqZ/aaanmY13fcM4X+YGL89ti19/F4wdS/iJvv0iYm87tu28YvX8Nl8bVAeKLNM/m8BQ/q7/BHmm55rAG6ptrQ+ftgoHqQmP8IqJ+l5Jz+Fzb5uGa+sKWtE/zQ3Fd/9YatSBf0zact7qO9Ulgw3yLK53LdWw6v6o2brTtGvLWtmfl5FXbWY5/LvsabwZ7ka9o3soGqaOU7VUsvbhXEHQa1gaMxdpUTW04XA+Ex7W+jkRjb1qLNJ7mcTJte9oOm7vreNbnspXSsjN+oc/6OjmPNLrGR42hOSd16TDIPOuGK196GiG+K2M/soaQnyVwquVGpx2NNjjYEa1ZxE8aN8XZdYqluFkO66dtuG7M4HJANR/gqJ8Ut3YxOh/mUX77em3RfSJ1jxQ3WV9ScYszda+oge3tCV9So8mUxpBaS8XexLCZu9f42PBFh0fWULU15KygzF4akHrbUDpX6pxfL1cA4btV9z3bxQeskXm0dde2K3w8rC5LHNfyTcM7GqXWIZOI49DaKHHV3WY+1gu9fSeeHsw+d+vSYF/T1s13l+yhc+RnptaO1hLbHsR21SVpmInlKj+dKzm3WV+gw5lav2merf2R3463tui1wYVoeQUnud9TjY7GWZujOSnfGbbP4LzH03zdiQUurX3vi2pEcTZBsRR3Biey/aQI5i8/9yIzP2TQ8XvqelWuV0GnU13zXwT6wYgX+L9p8wOKzcMRiis26s5fkPVX89eOZu8b8/qTOd/q+jfqbxfUZsh0OOJcY7vn4vd32VQ9Ljr2gxd/hHP9yZjhp4cacoqbhshepHkqhyKl9imuCW18qFiolmuivTziupDtWqf+pIzz5zr/t/rn2l8bBefEPs0Pxe25tafRRTFGNWQM1odihcvkm2jZi30v7gxfBmut/ALqhfauo2yrfwFPxrVYOh9vraPqV2t76rsx7spbuUhtZGNBeVQcuNYXTj+c3FpvNI9Vp0PnbieevS6kZWfwnj4d6G4X1Qj7SHMuHKlLO56tzTbYnkZZvkzsR9YQ9jOhZatNPe5pVK/hvXwI12roJ42b4hwDxVLcrItiCnM+g98cUM33cNRPinvjGTiCeTQTnjuB2fkeKdvknpKNm66DgZvz5Qwf1gjWWjb2i3ijuYt9nBUIDmSTrv/YdoIz8O7NZXGSensz4M1Rd+4m+XDsb8xOR13bvpLRSFiytlEfj67LNB/VaIVrT+d1yJ3S59DaqIbEG83HCm33uzlvQTrexcF8z3SRn7pO5/hF2EO1zNieAzroIBPLDX7u5vGgMGqt3zrP9txB60ZGSxlCnMJl7s97/ru/ajTCnIE7g5PGcobtMzjv8VjVcaMaUZytUSzFncH52ydm1eLiBw6/0/aRjj/R5r8y8M33e21uu5/+ENZPrD3en1zZfThCcML4IYc/HuhPwsxN5/WBSM+PHwW03efzgOZgj7OB3HJof34vG9bqor0/mrp+UONLi0Zxi0HNicZvNFefNUI5pPYprnHtlsOFlmsi+bKpjRKzoaguSjx+MeZPXPm7jT7UWD9cdBvW7wNk+VPjcV0WbJgfilt68nCmsRuNejj3CdurIdcv0kfjMXbHh0W+xYe1XPNp7CbuDF8Gu7JdPzG46u5+t0zF1Cfm0//AVefioXcFlf0CKz/R+uKxJaao3rDtlV97ca9gV5/2aiOKpcZso+F6ULREtb6OQmNvrTecx7Vtn8v+TXO3x7nuk41D5+OaPzqX/VCjrI+F86qcF38Xdem+4kNYm+t4NW5TQxm+YtdDwlpf2y52bqqha+NufNlo2VybDvc0WuPg+bVr1sJPGjfF2XeKpbg9PTR+k/M1VphuXWZw1E+KW9u+8nzOY7FrGjJ38D1SvOg1USbuwumcHNIoX/HRNolGG980vltrhTe7Xnbn7q0+bpyOO66toRHzzDkC9a4pflRv67Ea153jlO8W3fdsr31cnYcaiXdRb1kfC/6QurTvV/JNYWtsLz94HSr2D62NybE3P7rz8c3l5dFOPEuQzijOA4Vd5HtD9tCR8rNwbGpNts7UsnV9Y7u9eMTxtbGsbA/9lI1e/a4ohqe41mULv+81tFguFj6fOcZ1W7zXSLW8gpPc76lGR+OsydGclO8M22dw3uOxqtvWvp9FNaI4W6NYijuDE9l+p2pXFg/fyOamvrpATIuUzv3pgov2L2fQw8EP2vkTB97+QXEPQx9+aoxvfuZe+NBg7EN9s6jpng+nhyPzmQ4AZwvfPRaPv+Trmfbv74Ce6prte99b0OdhFFcHCI80N15Y67PQT33rHJ7iZ/U32sufUMs1h8aMaiNTF37g6BffcxO369Wfnvm3tql+54vsANuXnTA/NklxrXsas6uRrtEayuiDsLKdyTfWssY+iluYDF8GW837r6g8btHkU/3ft08XFx5Oat80jmKFQ/O2tWdune+uB9R2y1mOu3F3cMMu2ce1EcXSGKJ5RPXb8E6H8mN3ngkQ2tb4VB6FP2PursPaOw/jWQ8M9FnDu+dJjTI+opzLPq5LByD8cJ6tgxR+VEMZPhS77J1SQyRuYVJaVq00bqhRxSX2wzUr4yeJ235RXAZLOYWjOZ8l1BikOcEl/EzNndnZnQPZpfVG5w6+l8sltL7YdaKPMKl7xY4kc/cVfFSjVK2R2GenHw5Gcxf5uOIbnsq/Q2vIxhKcQ99WF3G91XHyYzTHM3xp3QPbWCPx0HpL+Sje7Fo0qkvHk+XzmG5+zKXNaXxac9nsa5/jrS2Ty2nMnu1K2OyHcTe4C+Uc4XSN5rs17eNdP8VJ57h5DtUyadv2j2w4lmv81Jhu/WYCEEeq1o0X/+7vuRnbBUvXDayleENOxYHv91Sjo3HW52hOyneG7TM47/F8blnrPcnHtdU+/1E8muMUZwMUS3FncFLb71TFdvbP1e9PsFhEi+onxhcdv+s+H68bxbXjNMY30D9oPy+uOvYiddG+vtjwfupzf6dV3HRJ4whnh6bbZR16T7qeGS1b/ki139T/QHt/hLNtflHhT9W43z76BUGIE96f6kCai2/U5hwWkDUM7QuD/RwZ71wLtWzHSIMoj6guipZPtd/Urfq8UPgvcKZ8tvbBMbI/4FnnZw+6i5PvuxqJzHVL5y3SR/ZclwgrnP0ezh1dry2l5ShuXTNXhi+DvRQNPJfWD6lrLP73Zr31qtZY++/PCNY6hvNWfs3fzVUdWe3XdURszxQg7hkLDjK10aNbx2JMmMcSA63f2a7GvdDJ6D4V2tZ4tP46j8XPQ+fuHAw7IPHMTECfGRscYI3Eg3wsWtKc31qXDq9Xm5cbNOrxhbGXuP8/a2jtZ1rLGzTqllXRYLRW13zR+1TPzjruHqbamV5T7wGa/qs4ac4bOxeqOcW13M3xVfE048khrbdw7jTGwntk0ZyuLw314nCtT2YdXBDtnGT5Qo1K3OH6suNP272OfbpW+EdzN/SxNQKPz6ghyolcvKbeNOaFyLuvX9TvtS9TvyndR7Z1zVxuoUYlblpvKR8fXNj8tE+b9br4MarLDVHp6PL5mjh386NrjiVchwpP5vczDyG2K87cKG4QT+XcjVsA1yXN98TnH7Id+ek8hPf7wpOZF7a9G4+uOY/ItuM4sl0RS8pPEHcmHFTrA0L7vpm3A3x7KVw3rtAy5JQD2fsz1ehonLU6mpPynWH7DM57PFZ12dbvfVGNKM7WKJbizuAMbU8PZsqC+o08+J2OX9kT7b1I+KHC9CkR95drvcXOi6DbdI3gHuCTHdvwG47rNxRfqL/9Phk/nfbDgnWzf/bNwU5Nx5SzDon2/s6btX8e44cxk91if/ahEqr/v8ZoX/9lli8hnMYgzU0orPUa5rDgbBvZT+BMTVuoZSVSTCSPqC6qltr7IZlvkuvmF3IbXdagzjm1T/ODcNWPSKMat2PzcR1X9s/Lfp63woT6VE6CFT/Ot7BIS/ss24fVhvnUsO0H+PTi2oe9F/fu94NYc66b1ys/yG1zQbCZeWt9aB0R220MtWb24m6x0TGqjUQstofyaP21hbVeAxD2yHrbrDPi39wnio+uk8Pmbo0H7pGW5oL6ILPiytQ68rFqqT3JOarLEjedZxfZDmtIGMwn+zh2YQ+toYSfWMuiZ6iRcclG1izkJ42b4hwHxSZw+HVjsY80l32KQzVM40nmGuVRnGjuFNvoHql40D2Fxi1cZh0MZbqCD2nkuGV8uL5U52jsFa99NHeRjw0fOTyjhign8e9izctG7mfGD+dulk9OYt0j203AoUbVT40h9ZbxEa1Zja/DupSfKT6oUWYdQmuR44G2a+jDuCuIckY4XU/dy6p97SM/w1ozV7Wv/SHzrPiHbBfsYbtsLDKM/RT3cH25Igha66l5Bv1A60bRE9WF7CJO4dDvhiUOpJGwR+Ns/mhOyneG7TM47/FY1WVbv/dFNaI4W6NYijuDM7T9pOjmhzDrN9r8L7D8JVQvC8Y7P5xYPBzRdS+MT7UZW99sRDjhbddOPtXx183mvpbvomvTLynae4Gbmo5t93+0TV8A5k71YU7jYZt8a7Gy80k5bx+4tJB6bB+9RW0Ph7QUOc3hnh979td4iluPq+dIS5pH4VBdFOPO1ea7ZMThj99+p33vgU31u7tP2Kf5obiLbNNapzWU0YdiUb4tLtWSxk35MrabIqhz+lXTNx/Kth8q/6y918ep6dhjFuuVL2SwE9Hyx958RHV0he1h3EvXwjNaGygWW1M8dD2g9WtONM8StnvC7OXxjLnbs7/po/FQfTYG8h0bjaiPxRTNOa1L06LaTGiE+Gw4EfsZNUT9xFomNHL4mUbWLOonjZviHAfFUpw5Uc6p5hRnw2rUT4p7YGU/UR4Tc+ciLL2X0/Xl1rg36yCTZhfV5UtohGqtWM/GPpy7CR93g+9cOLyGZANxdnwZdaF6k0bWnPyejfjsENU9Ydu0VCNUb9RHG1Y7tC4zfFQj4eg65HhQLqltE5Y2nI/GUE6KEyXKd/Gv7iI/aa2Z72gtM7ZrPEftUSzFGPIzkUccgzhprWfnbeiDbJ/xOyTl7Pm3d39GGlEtKc4OUuzRuDNsn8FJ4z7D9hmcjxnPY9p+LC1/8/r1a9u+KPj5gYdOvRD4DWwvJoumPn9KxIt7bV4Yv1xjCU4Yf0TVT9p7zX9VPn1ap72oPvtZb7rPdPyF+uaHRxlOYacXq+LwX1eY02/Mm+t7XftK+7np3HH6BYKb7fpBlv/dzCt3rJv6/WDLvDU+a+k3/9e8IU5jqOYoh62vR/kpnkO1FF+qNoQf1kWNWTjn4zNtzl9tm1rPxGMSYr9gqs3RHEN5FB/WSFhaQ0ifEjPCynZ27gxzmYmb5qYmRdxD2w3OMVn/jzXG/wZv09TvHLvWfioXP9B+sV6V/ksG6zHCk3WD1lHGzzDu4h9aDxQHqg3hUCyNnmEexUnrF8+zEntou/GT5PGMuYvyQ+KRjll9sO1in2iENE/kHNVlo09NaXddz2gk7Bm1fkYNIT8VD9IyqRGuoWJ/uFaXPFI/adwIR2sogyvYMOdUc4qzXTfhUewJXDbf6LV6se856/ZM2033Z/HRewrSZ/Kq/BD3cB3UdayRKSO+als4+zrUSJiw1lZ89bS7XtaL4vWcJHM39NGc4kMaFbtH1xBdX5CPJZ6w3hQLvj8LG/LZbm3CD3XP2Dan8FSjbL0N67fYxnOy+DmsS2EQn3CZ/DiOz7T9ZJ/VRr9ThLnM2LYx4cP5SDkprtjF+U74iWqt8B2qZdGRri9oPRAnxYWxOGY34qcwuH4LJ/UT1brso3mWsV2ww7WtYLCWlNM4N8U1vN8XDNXoUNzbZvseT3xPUT2iGrprebuW/wciBfr2mqTOMQAAAABJRU5ErkJggg==\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 93326215443944152681699238856266700490715968264381621468592963895217599993229915608941463976156518286253697920827223758251185210916864000000000000000000000000$\"\n      ],\n      \"text/plain\": [\n       \"93326215443944152681699238856266700490715968264381621468592963895217599993229915608941463976156518286253697920827223758251185210916864000000000000000000000000\"\n      ]\n     },\n     \"execution_count\": 33,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.factorial(100)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 34,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'0.2999999999999999888977698'\"\n      ]\n     },\n     \"execution_count\": 34,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"\\\"%.25f\\\" % 0.3  # create a string represention with 25 decimals\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 35,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0.2999999999999999888977698$\"\n      ],\n      \"text/plain\": [\n       \"0.2999999999999999888977698\"\n      ]\n     },\n     \"execution_count\": 35,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.Float(0.3, 25)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 36,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0.3$\"\n      ],\n      \"text/plain\": [\n       \"0.3000000000000000000000000\"\n      ]\n     },\n     \"execution_count\": 36,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.Float('0.3', 25)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Rationals\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 37,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{11}{13}$\"\n      ],\n      \"text/plain\": [\n       \"11\\n\",\n       \"──\\n\",\n       \"13\"\n      ]\n     },\n     \"execution_count\": 37,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.Rational(11, 13)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 38,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"r1 = sympy.Rational(2, 3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 39,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"r2 = sympy.Rational(4, 5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 40,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{8}{15}$\"\n      ],\n      \"text/plain\": [\n       \"8/15\"\n      ]\n     },\n     \"execution_count\": 40,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"r1 * r2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 41,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{5}{6}$\"\n      ],\n      \"text/plain\": [\n       \"5/6\"\n      ]\n     },\n     \"execution_count\": 41,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"r1 / r2\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Functions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 42,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x, y, z = sympy.symbols(\\\"x, y, z\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 43,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"f = sympy.Function(\\\"f\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 44,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"sympy.core.function.UndefinedFunction\"\n      ]\n     },\n     \"execution_count\": 44,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(f)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 45,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle f{\\\\left(x \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"f(x)\"\n      ]\n     },\n     \"execution_count\": 45,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 46,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"g = sympy.Function(\\\"g\\\")(x, y, z)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 47,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle g{\\\\left(x,y,z \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"g(x, y, z)\"\n      ]\n     },\n     \"execution_count\": 47,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"g\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 48,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left\\\\{x, y, z\\\\right\\\\}$\"\n      ],\n      \"text/plain\": [\n       \"{x, y, z}\"\n      ]\n     },\n     \"execution_count\": 48,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"g.free_symbols\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 49,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"sin\"\n      ]\n     },\n     \"execution_count\": 49,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.sin\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 50,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\sin{\\\\left(x \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"sin(x)\"\n      ]\n     },\n     \"execution_count\": 50,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.sin(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 51,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAABgAAAAOCAYAAAA1+Nx+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAiElEQVQ4EWP8//8/A7VAQ0ODEdCs1UBsDGR/AJnLAiIoAUCDBID6ZwPxOyA2AWIlIIYDalgAcmkoyESgZWVACuQLOGCCs2jEGLWAYMDSPIhYoMlsL9ApoORGLAgF6jtHjGKQBaBkZkyMYnLU0DyIhr4FjNQo7IDxCCrgQIkEVBaB6HtADEoEpwEsISASVdEGngAAAABJRU5ErkJggg==\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle -1$\"\n      ],\n      \"text/plain\": [\n       \"-1\"\n      ]\n     },\n     \"execution_count\": 51,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.sin(pi * 1.5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 52,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"n = sympy.Symbol(\\\"n\\\", integer=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 53,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAAoAAAAOCAYAAAAWo42rAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA0UlEQVQoFXWR0Q2CQBBEhVgAwQ60BLUCsQO0A+3BP/4MJWgLWgIdGCmBDiB2gG+OW0PIuckyO3Ozu5cj6vt+ZlEURenrFlyRJVojLTIjwht+BZ86ABNA2p66ib14BhMzee0Dqukm7ozggawlTOIFzzTdjBlCNzGJaqoii/1dBvr/m2pi6s+te2y3Lb/V48NQvdBE6woZbFurO9rKJOA0bXhHDBW5DBhtYmXP88C0CRjXaLW2OiPFHaEDczNTa+2RPEmb6+ND3RcMdoUtfAd3f+wLrOY/XeyA6s8AAAAASUVORK5CYII=\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0$\"\n      ],\n      \"text/plain\": [\n       \"0\"\n      ]\n     },\n     \"execution_count\": 53,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.sin(pi * n)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 54,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"h = sympy.Lambda(x, x**2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 55,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( x \\\\mapsto x^{2} \\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"     2\\n\",\n       \"x ↦ x \"\n      ]\n     },\n     \"execution_count\": 55,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"h\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 56,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 25$\"\n      ],\n      \"text/plain\": [\n       \"25\"\n      ]\n     },\n     \"execution_count\": 56,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"h(5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 57,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left(x + 1\\\\right)^{2}$\"\n      ],\n      \"text/plain\": [\n       \"       2\\n\",\n       \"(x + 1) \"\n      ]\n     },\n     \"execution_count\": 57,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"h(1+x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Expressions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 58,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = sympy.Symbol(\\\"x\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 59,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"e = 1 + 2 * x**2 + 3 * x**3\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 60,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 3 x^{3} + 2 x^{2} + 1$\"\n      ],\n      \"text/plain\": [\n       \"   3      2    \\n\",\n       \"3⋅x  + 2⋅x  + 1\"\n      ]\n     },\n     \"execution_count\": 60,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"e\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 61,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAHcAAAAaCAYAAACNU8MOAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAFXElEQVRoBeWa3XEUORCAx9QFsJgMTAbGzgAysCECTAZH+cl+oyADuAh8kAEQAZgMIAPszcD3fUI9pRnv+nZndnY9dlfJklpSq3+k7tast66urqq7DKenpxPkO84y7uT6JfjpGOSGT3k+oMivsuxT3oD/QX0jPGiPsuiA8rSNH3H/LfK8zuUQOS4o5yOS5y28PoL/D5R3tL9Rvpb8g3fONWgYl0mekGfUX67NHC/iCHnKw6oidsDtjkSkN/B5VvD6iPavom/zDHk+t3BVbVwGk/uiftWeNPK+8nwfqwzY44el4N8L+L7oV3n8I/XfJX4rYi4DWt4JH8oJd62NfN5cQ8/jMckGvxruBcVbqnu+BuB/gnxCnfKJv5xBx6C9R/3M/jxgXFf2kVITmDe3Cz7z8Tqv3aM2Phovy5PbhXRak/n35D/pTOSGhZn/8Hx6QvVqzO8d5qDxjuLF8wJW9mew4o3+h2JuUaWby0SRU+pQrGMJwMmkC1S0CtfAD8Gn00F7JQC9UERiTKLgvGWe2N55QKavnIe0V8o7NOVVPWnIMK64I3Cx5yfn9QVoqn8TQi9Y49DTl4dLSrJPxFyZuBaQwVUs0OgqRKbLwO7wKkFDviwJsqeHTUPoLToDdOLgeEiUZzfjOtOcsVAdmrzpGQL+zY3jQCxTQ2tCuaSUyV8cTC9aA5jnmAZ/7sCDYuGmkw4zWgXx9JWgS1NIDbQ05HXeHt+GGlVFeVD1RKsElapyQ/kVe9XtLhvl9fJZZsfqSbpxcNqktWPyfsZcJ//qy0h7hw59jajy5ylk0oGmS3Rhrm28bdmndp9O6gvQk/+HJR1wcYs9XF1BQx1D63cmsE99U85jUpVursZ18jyFMrQegPl02mbsllwS496MBLQ1lm5QkH/duTfbbFL4xpwU46gbCv8zPPxf9vXSGGpe0W68QOgvw79y17IvwLlz9XQTY64bXSywaO1TYFDDarR2omfiYvZoxugXGxO+p/SdpzwqdSMgzxSTQD2Dip4V7obkP2y5o3G3KVPKbQQTqfjslvhDcd7YtvF0f+mmUitPexzUegD+/OjgwdMTnVHOaYd7rmgPzX/Yclu3fCtvLkowTn2hbsfG7+DKBMO3uQpNOOp57p1p6wV4+URR2b5N4/k4NP9xc9PnRzf3tN8aQBEpnlK3DVuB09WVYGzzhmwU4Csy8TYf4Zblcx38hy0vdMu3ClCSLuwxdW1Y2n7oN/Y2AFxSGMhwyRW4lEw0Jg7ccU+2MBvXBdteCJg7BP+x/1Tj6s4CsRBT8yYtI9gsGqzfBb9P3U6gNPiF9CmfKaGUdADol27aZ8N0Fv3/w7Gukx7yfu4Zbrjcai93DDGD8p/3adxcs81goGRqqXZWjB8hGu/JRYmwzptpAqUC3hdFnM8JladRLcnQ1pTakMxxTHmWBtZq2M78s9YD2fjKB00PpXQH5589AtTjVH1tnZycqBCZioAfk+qaiUnpIDwEMutNMfb5nqw/YNP2AS3c9Mj+M6P1l7UeCm/uLDBhkqZ7mwmnfeiblapAkyrXa/TaRdNfCljbmX83Yr26LBM6FV3/cMD4oPxnHkxEt9nrsPInPwx8qZFt9y3QOaBM+tLZ1Po7wP85MhypP2Ou4HdKT/8qwJg5XQWhDdEYLf/ZM+j90nfnMK5XOT7nddZpJv67M4ENLxw7/6jPb8p1UpeMi1DGT7M541cfeA6NOgb3IbShtWPn36SufmmU/2ZjsP+KcQb5L4UNGevebIvd9Ly+NOrLVRtXLTCQMk/q+gPCvdHOiAXFXmblPh8beVPE3CQagz4jyo8EIxb5XrHuZSyfYEn4/wDgkLnIaVk7JwAAAABJRU5ErkJggg==\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 1, \\\\  2 x^{2}, \\\\  3 x^{3}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"⎛      2     3⎞\\n\",\n       \"⎝1, 2⋅x , 3⋅x ⎠\"\n      ]\n     },\n     \"execution_count\": 61,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"e.args\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 62,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 2 x^{2}$\"\n      ],\n      \"text/plain\": [\n       \"   2\\n\",\n       \"2⋅x \"\n      ]\n     },\n     \"execution_count\": 62,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"e.args[1]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 63,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle x^{2}$\"\n      ],\n      \"text/plain\": [\n       \" 2\\n\",\n       \"x \"\n      ]\n     },\n     \"execution_count\": 63,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"e.args[1].args[1]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 64,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAAsAAAAJCAYAAADkZNYtAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAxklEQVQYGV2QsQ3CMBBFD8gAQEnJCCD6FIyAxARASRmlSlqzAhMg2ACK9BFsACVlxAbm/ciWopz09O++ndN3Bt57U5VlOUb27WC2Qncwh23w6mFoJI4PToK+hjOsmTNUi1x7GUMbHXRrw3ALxhR1phhFUSykEeY7POMcNW5+dVfSr+HS8yzpG0TSRVWMYHjKbElorvR64AM9gC58pKFy5kwxtEk0GNrQwA/awtOZ/o6N0jT9onrtBJYc5lVVveEIMzyP10b6A5YUWgllggWIAAAAAElFTkSuQmCC\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle x$\"\n      ],\n      \"text/plain\": [\n       \"x\"\n      ]\n     },\n     \"execution_count\": 64,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"e.args[1].args[1].args[0]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 65,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAAwAAAAVCAYAAAByrA+0AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABGUlEQVQ4EY2S4XHCMAyFc0yQKxt4BKAb0A2gI8AG8DP52xHYgQ3SFWCDMELbDcL7FIvz+VKM7mRb0nt69lnVMAxV6k3TBI/Ts+dmVWJt2x4ULpJUiLlH6kFQYaPsXPvZqzp/c461MY2UpGv5xWXznRoY8q7wJfppbDG5UgNT2YPF/s275jEYVGa631q8m7GfL2A+udJWbo97jjfMB4SVvC+AKYMJEGr5j7xkYGoIb/K/Elp13mAKL2ANYo1RgMm1SmZXh8DdQgmtOgo3CFf5u7xkSwE6CJ08ndD/iHzw2Uej17cv8nHwWLUg74lRwBisvZ2ml2PEjMMHUx06OnlX32P3zmNXoC8zNTXi5KiN5kz22G3nOcW7XPUOBnnnsLTbW+8AAAAASUVORK5CYII=\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( \\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"()\"\n      ]\n     },\n     \"execution_count\": 65,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"e.args[1].args[1].args[0].args\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Simplification\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 66,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"expr = 2 * (x**2 - x) - x * (x + 1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 67,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 2 x^{2} - x \\\\left(x + 1\\\\right) - 2 x$\"\n      ],\n      \"text/plain\": [\n       \"   2                  \\n\",\n       \"2⋅x  - x⋅(x + 1) - 2⋅x\"\n      ]\n     },\n     \"execution_count\": 67,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"expr\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 68,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle x \\\\left(x - 3\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"x⋅(x - 3)\"\n      ]\n     },\n     \"execution_count\": 68,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.simplify(expr)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 69,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle x \\\\left(x - 3\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"x⋅(x - 3)\"\n      ]\n     },\n     \"execution_count\": 69,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"expr.simplify()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 70,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 2 x^{2} - x \\\\left(x + 1\\\\right) - 2 x$\"\n      ],\n      \"text/plain\": [\n       \"   2                  \\n\",\n       \"2⋅x  - x⋅(x + 1) - 2⋅x\"\n      ]\n     },\n     \"execution_count\": 70,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"expr\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 71,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"expr = 2 * sympy.cos(x) * sympy.sin(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 72,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 2 \\\\sin{\\\\left(x \\\\right)} \\\\cos{\\\\left(x \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"2⋅sin(x)⋅cos(x)\"\n      ]\n     },\n     \"execution_count\": 72,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"expr\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 73,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAEEAAAAVCAYAAAAZ6IOkAAAACXBIWXMAAA7EAAAOxAGVKw4bAAADm0lEQVRYCc2X61EbMRCALx4KMEkHpgMDHUAHPCoIdBAmv+AvdBBSQRI6MB3w6ABKMHRAvk8j3Qj5zhwen2Fn5D2t9q3VSq5eXl6qzzJOT09HffvSZGNQfRI4Ozv7gSvjFbgzirZqU1/M/FuA0AieO8YJ35dv8b93HZ17yGyDT3LZaDfRtlibMvThPud77zfyJvwRfKVs10owCUPGpkLLBBxR709wCjaoZ67Nc/BxHNo2+DvmO4FpwR/kLxDVpra7JQHma3jXwccKLRnO0ferQaf07zkd+ybqmfEvpy/4rU1tdEuCjDig8T7gAN1NR8zdfmIt7FZm2A0ZQrdSFoZoU9vDrsdhYWPzBHHAQB9beAzWc9uW/DI5LWrmkrV9sCYLhuzKOqTBpPwQ+ibDjFt+4mvm++AKrIz0r4y/DEvLBidsM27g8ezNA3UZ7AwkOzML8QZhvW6OfOvzUeTVtsdIfw8jTV9CE4zzhLS9uxYV2IB204qYeTj/YLNlMh6KdZ3YgP4ENhF7fIegwSbIBnbFaNtpWCo7flM/cG0Gol6De9VEmYcGqgA8dv7fDAP3JklnvykJxrQz4EdHtmBOFcA0QCnUFswt3DvI17vOd9olq2seaHM6j6FYs/IuC1tWQGhwGa8Vmfx3g8r1xKrtoZVgiTuxCVkeE4Y7WGYbciuYiCYoE1vy6OBzSWya4487qq/lDXULLd8gK/o+0cDh+DbphKbcyEoQvIPdyZS1B4Q7l6kK+gR8CecdXCaggpaqLrlg9f1Jkzdw2IQBSjxjKvP8mIx1hsaOmI/BfYI7Mbda8MHStvfUCeDbp2/wO3cOWjp+6ShU0LxO22xIn1oJBpo6q0LPDO9tFdkv+gSP4UwwySB+6NvMcxqaiZmyboATRgo+JIp5fjx8GbYdOSvhcY0fQUYbTs5slsrrS1oJKjKYRcBS9kqbAXwxOTZC+0B+NLU3hnbBMBkmwCrWN/2oY4Dm2g2jDaz8iUlQyJ0Pryew8I3hteNjxd2wu4aqYG7jtNnopHTXrR7pNlP5UjPy3e9OpjlLr0CZPMB80QRoo67SbNHkCW6SvhtshR3tWRnq9A+f1VIfDXkKUO6807/IQnCpU5z0rt4Hp8CWqr9NGfZMsAnbGLQxrZBuNdVNb4V2rVptd/8D1Zdz7ITl3Njte7RpFWhT2x+fhBioPaOtN0SWpSJt1X3qw3tCCi2eUZ/fYXcSfdkY/TZab5z6Gv0P+KAexI4IKwcAAAAASUVORK5CYII=\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\sin{\\\\left(2 x \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"sin(2⋅x)\"\n      ]\n     },\n     \"execution_count\": 73,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.trigsimp(expr)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 74,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"expr = sympy.exp(x) * sympy.exp(y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 75,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAACcAAAAQCAYAAACV3GYgAAAACXBIWXMAAA7EAAAOxAGVKw4bAAABv0lEQVRIDa2W4VECMRCFD4cCGOxAO1DpQDqAsQKlAxn/3T9GOkArYKQD6ECwBDpQ6eD83prN3B8xOW5n9l5uL3l52SQ716mqqsixsiwfQ/9L8Bmf4D21+bYHk43+t3S+wge0xz6Q9hofnnkgBRkgYStwDvbxBe0peINrklwbBq4RqAUWoHjEV3T1yLADgz07IluHsffEPzJ4JOKC/jNQ2duDhzBe71u1czP3EggEItmoAXGWsDDGBelYrBQLNgBt0VnifDRibAtdFKgsNDVx+Q6IIy46WZwE4N9BwR1Yz5ZWf4p9aTD8EtYDjbubwSiCDQMfQFspbV2Qc3yGNzVdqAlcO1A3Ni66Uy8ldNAhf8I/cZnKxZS4H1YLpj7+4wvf+6BdMlCLfgPtbMfMEVBKF/iYtqkHdR4kVqvLskS+V0jf8XnoL6Hx0pk4AjrQUq30xrTyLsG2hWCyZfAtIZUgOx7gdX0S21aCEiAhniGdI5kqtZWL39e0Z1t8ljmmlDCv/GkKjvdqha9eSrzyH582/evJfC7uTyK2aJSuJ/Zshc+31f8uIjuiVFYUl+daK3yxziHGC6rXuIKY/j4aWRt8P1MvxZSv1gyQAAAAAElFTkSuQmCC\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle e^{x} e^{y}$\"\n      ],\n      \"text/plain\": [\n       \" x  y\\n\",\n       \"ℯ ⋅ℯ \"\n      ]\n     },\n     \"execution_count\": 75,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"expr\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 76,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle e^{x + y}$\"\n      ],\n      \"text/plain\": [\n       \" x + y\\n\",\n       \"ℯ     \"\n      ]\n     },\n     \"execution_count\": 76,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.powsimp(expr)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Expand\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 77,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"expr = (x + 1) * (x + 2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 78,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle x^{2} + 3 x + 2$\"\n      ],\n      \"text/plain\": [\n       \" 2          \\n\",\n       \"x  + 3⋅x + 2\"\n      ]\n     },\n     \"execution_count\": 78,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.expand(expr)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 79,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\sin{\\\\left(x \\\\right)} \\\\cos{\\\\left(y \\\\right)} + \\\\sin{\\\\left(y \\\\right)} \\\\cos{\\\\left(x \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"sin(x)⋅cos(y) + sin(y)⋅cos(x)\"\n      ]\n     },\n     \"execution_count\": 79,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.sin(x + y).expand(trig=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 80,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"a, b = sympy.symbols(\\\"a, b\\\", positive=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 81,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAIgAAAAVCAYAAACdQqbPAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAFDElEQVRoBd2Z7VHcMBCGDUMBN0kHlw6SUAHQAZAKCB2E4Rf8JR0AFQToAFJBAh1AB7mhA/I+QuvItmzfyb6zyc7o9LkferVaSb7s5eUlG1M6OTmZptiTypei663wLIpJbPx6NiI6PT39JnM+Jpo09fyJ7P8XWyKWFQzX5DUsyKXSVOlOgveGgEp6d6V3U/lRqn4PypPym1QZXfikd7RYyraJ5nat9FlppvqH2FzVzib9h6GFSznKo9K11VeZS+9E6b4PnchBXh+yUmVI/2ix9PicN80txDA8Yp5iHrWitjPpOe9JF3KQl0zaRdtKX5MFaAd24O3K2oYlUe62RUmOYeggLTxL7d7Xglz0ocHLQR4hNZXg7cKfqrcPvloshcm2V3DXpCjEcOkOImXTFmMwuu8dh7z9Jr1vsa8HLHfAWnKe55i/w3CjbaCEsZMIW49+LJeba7UXvFB1FvpQCcE4BWEMXgy6VYpeitTPpbggS/UCiRd5XF6Z2B8lLqG7av+uPEbIA4xeolJMQUqb7B0aS9boQXZwEYVYE9Ymdql3GDZGEDFyXt0rnan83Sec4EhlU5KpbOfagcr0seg41bPKKIenjrhVm/NVxoifSZkNyMYp3BmpMoDHCHmNkSvGtMw22Toolh4rbACXC48jm47NHsPKYdjoIDAr3UhA+QhAME6DQuhYqRy68ED3ZNW4pgjBIs+UKiQ++rABxwhtoFzWF/Ijr855wnGrLA+KpSbKRoO2hOUzBctV5BNDmRyGG+VWq4vZvO2XtVmuPsIU1S9KDxQ60DvxOoMjMohCLPRVqY/JxsKiDbNjzurRXHMgEhlw4RhsytQfi3zMfaFvRRo/Biw5crE9x1plsIXev2aFX4dhrYNoqIWdXGCB/bXCxCGA5iybBAbQxwJ3IS6afLzLbfCTwrampxoLnPPUGSBZMQfI1M6O4qti3R2nTmRd+xiw5Cj/XTKQNqgSBNTmMGxyEAvp5mVOUunHxqCYC+GlQLXdyxE0zyWR8RUd4qWNVI5Q7nWi/qRjS/KGIMOpMs/AGBvTO5ZeBxuWjRySRcIYltg6q3UQLYCFI0JTIZyrz8KyKaReedmEljSUOetsh8WGlb2bSTmnkR3sdOw0cI0f7y+3Wd/K8xFhmWMim3AANtuhys8RUByGtQ7iGbaU/5SAcyYZCOHo4FVjbSggYhz4MdRnqscU+yF5hozNvOYL8Hr5ufOoztdN6ubx/HdTcF7P/kl50xHkh600GwxLP0twyrFUmUvzlfCri/IOQ/uzjgUnCrCghDi8ynmbcoTyGrHFpo7D2CKp6i50PEUJYyEhg7G1Z7n60MuYyncStU3Ud6lEFOEi9UMJO7CXNu4n5qSqvpLaeKLtKM93jPXNk4sv6Q4iPuY/ZiyxDWyavn84iAzDNf606UoSxm5lkd1uVs7CEqIMsDYnweg98VUWW+0LkWTgwE0f5lrlSUaSg7QKnmOAdA+OZYhh2xHTOiUPZqY8D/Uqs8tJfKvAUbg31EYR9eHZvCiirwq1L0LuG80iDJGxZn+ka3lNwgrHzJQPjWWO4XoP0+Wo4UlItIgRzmGX2Vg/gHAOIoPdn0yeHzl15+pcssXP0dVJxlyKqoMGx7KMYR8RhMskF5pj5Xw4478SiDsDRw1fQec5OnAkLk68mlIJR0TOmyThNAYsCxj2cgfpazUEEBFkW/nCu1c8vHDY+UkX077mMBY5KVjGMPwLo/icunFIEi4AAAAASUVORK5CYII=\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\log{\\\\left(a \\\\right)} + \\\\log{\\\\left(b \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"log(a) + log(b)\"\n      ]\n     },\n     \"execution_count\": 81,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.log(a * b).expand(log=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 82,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle i e^{b} \\\\sin{\\\\left(a \\\\right)} + e^{b} \\\\cos{\\\\left(a \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"   b           b       \\n\",\n       \"ⅈ⋅ℯ ⋅sin(a) + ℯ ⋅cos(a)\"\n      ]\n     },\n     \"execution_count\": 82,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.exp(I*a + b).expand(complex=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 83,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle a^{x} b^{x}$\"\n      ],\n      \"text/plain\": [\n       \" x  x\\n\",\n       \"a ⋅b \"\n      ]\n     },\n     \"execution_count\": 83,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.expand((a * b)**x, power_exp=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 84,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAFAAAAAUCAYAAAAa2LrXAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAC5ElEQVRYCdWY7VEbMRCGTcYFMNAB6YCECpJ0wEcFhA7C5J//ZUgHQAmkA+gghA5CBzh04DyPIl1ksE+Wx2eOnVlW2tuV3l2tPszGZDIZ1NJoNNrEZwt5X+vbB/tV4h8uGdBX/B7g70v6v7TbFH4SugugS3hM+1MNuI1lKrBmgtdiS+KuwHqPPK3BvGwF1szxWmw/AvRDLdiqCmR1nMRy36N9kE9G33PxDP4F296Gz9E35yTtL+ikt7C2J3Dwy+3QdULMMRM/emMSd6q+PdrH6B8FgpyL+40GFeT5cAHvM6iBB4ptAZgwv9/ATjqGA0UQP5Cem1uwtgJ+DxvAOmgmfiY2sS70RcT3k7YLPKBvHHNxDzVahBhoB7tvcJiMflid6OtkN+juYl/x+MTGfqpGk38dbV3p3C+qVyuYow2/iXVBU0xKF1ZqxV2TwBA8k7jtzsPQ//98ppnfXibZKmwIPyszkd/DdkG/VPLws2pDlaRB58gTbL0c2vCbrHysd/STfSvuhRMoOEBYOQZ/QHsXvos6P6fqsm0yr9I3ZFrZAe2wXZEhccgdOPfVv0jRP1+0RXye4Y9O6m+zAQ5pH2f9AfPNxF17Bpo8k2ZCjpwgtp8mSDuTcuh32CT90R7SL686K3pd9Ax/nLhZQHC6m26RnntF3MNK5G7LIwb2YM23sTfyKXovkrFt2Or4DUvqPCMFF86+OIY3tefquqgN/xmYxLuNTJVdxD31jMHRUk6vdIPyuWFimgpTuQ7qE5a2eJsKBLDlbVV5voUthnTfm9Bw4CPXQn3CUgo4JBDAXvFuLW+skLzoaFLTcyOquhV9wrJIpKkC03m2SQCeb55N0jX9qefIP3Wnf/uEpRhoSqCVll7bRaeODfqEpRhq/oxprvKiV/cGfcLSGm1K4FzAbOH91hFW/7FPWIrRpS3sz5ipBy2J80mjPv+JUxxwBQZ9wlIMp3kHZpfHQ/JC9yL/ce4TlpSLefIvxfdfgokYmpoAAAAASUVORK5CYII=\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle e^{i a x} e^{- i b x}$\"\n      ],\n      \"text/plain\": [\n       \" ⅈ⋅a⋅x  -ⅈ⋅b⋅x\\n\",\n       \"ℯ     ⋅ℯ      \"\n      ]\n     },\n     \"execution_count\": 84,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.exp(I*(a-b)*x).expand(power_exp=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 85,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle e^{a x} e^{- b x}$\"\n      ],\n      \"text/plain\": [\n       \" a⋅x  -b⋅x\\n\",\n       \"ℯ   ⋅ℯ    \"\n      ]\n     },\n     \"execution_count\": 85,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.exp((a-b)*x).expand(power_exp=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Factor\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 86,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left(x - 1\\\\right) \\\\left(x + 1\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(x - 1)⋅(x + 1)\"\n      ]\n     },\n     \"execution_count\": 86,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.factor(x**2 - 1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 87,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle x \\\\left(\\\\sin{\\\\left(z \\\\right)} + \\\\cos{\\\\left(y \\\\right)}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"x⋅(sin(z) + cos(y))\"\n      ]\n     },\n     \"execution_count\": 87,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.factor(x * sympy.cos(y) + sympy.sin(z) * x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 88,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\log{\\\\left(\\\\frac{a}{b} \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"   ⎛a⎞\\n\",\n       \"log⎜─⎟\\n\",\n       \"   ⎝b⎠\"\n      ]\n     },\n     \"execution_count\": 88,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.logcombine(sympy.log(a) - sympy.log(b))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 89,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"expr = x + y + x * y * z\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 90,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle x y z + x + y$\"\n      ],\n      \"text/plain\": [\n       \"x⋅y⋅z + x + y\"\n      ]\n     },\n     \"execution_count\": 90,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"expr.factor()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 91,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle x \\\\left(y z + 1\\\\right) + y$\"\n      ],\n      \"text/plain\": [\n       \"x⋅(y⋅z + 1) + y\"\n      ]\n     },\n     \"execution_count\": 91,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"expr.collect(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 92,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle x + y \\\\left(x z + 1\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"x + y⋅(x⋅z + 1)\"\n      ]\n     },\n     \"execution_count\": 92,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"expr.collect(y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 93,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"expr = sympy.cos(x + y) + sympy.sin(x - y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 94,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left(\\\\sin{\\\\left(x \\\\right)} + \\\\cos{\\\\left(x \\\\right)}\\\\right) \\\\left(- \\\\sin{\\\\left(y \\\\right)} + \\\\cos{\\\\left(y \\\\right)}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(sin(x) + cos(x))⋅(-sin(y) + cos(y))\"\n      ]\n     },\n     \"execution_count\": 94,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"expr.expand(trig=True).collect([sympy.cos(x), sympy.sin(x)]).collect(sympy.cos(y) - sympy.sin(y))\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Together, apart, cancel\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 95,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAJAAAAAtCAYAAABBEuITAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAED0lEQVR4Ae2c8VHbMBTGkx4DUEZIN6CwAWxQrhO0bFCufyX/wgalE3DtBqUTUBiBEdJskP4+n+1LjS2ZWHbk6L27d1b0HOnp02fpSVYyXa/Xk5hlsVgc498P9D3pVcy+xuTbULgdxNTowhcaf0j6O7pET9AZauJBYBe4xUogjTQXwgtQvnDRKGTiQQCsBsftjccnMxsCTgSMQE54zOhDwAjkQ8jsTgSMQE54zOhDwAjkQ8jsTgSMQE54zOhDwAjkQ8jsTgSMQE54zOhDwAjkQ8jsTgSMQE54zOhDYBrry1S25fUCVe/E9C5M12f0CX3AdsPVpAaBoXGLlkA12FhWhAjYFBZhp4zJJSNQh95iujhDP3coYvRfNQJ160LFZtJkxQiUbNeHabgRKAyOyZZiBEq268M03AgUBsdkS5nO53MFgb/R1wSDF6w+tKmXhNDWbzT0rKaxR3meDv9X5YnvZee6q4Z9+hxsIxGw4v59kKfX8H/queWFme98IHPGdeud8bHjFuxXGdt0wIseSTBj7LhZDJQgaUM22QgUEs0EyzICJdjpIZtsBAqJZoJlBQuiY8aOQHWGf1e5jzpfpGX3FfldtyJWlCPdawGnxj+4CLaMjxXBnDzXXMs9GdLX+Kvf3J+Tvo/V9136BS7aF9z8gwuR6C35/z0wo5jCcLrLsQmR5dNmZ1CeRiMBoVOPeytdcBNRUG0YXwLQXRNIoyAQzutpkG4j2kH+CxDV72vkOSRf09u+ShfcWmEyFgK1akzDTSLKM0RZNdirxGq4zbLrEAgeROdPenFK75RKNX3oKf+YO6BD8T/zdO8X6ipjn0pl2X8OYe8aSFeK3e5jbLi1bUUfI5AC1hspTjygCsQUwyju0NOumGSngi8ij0hdrMx26k9eefS41YEUlEB0jEaeKkH0wrEYcY5q7HV+9Z2n4Pk2J3nfdXnLHxFuL9oSegr7Axj6/VYh5yR0rCHL49o0nWT3Y3cem8CuFUFVXnVsIq/jvqGsatlDfY4etyYgghKITqnGE1oBtZ4mmjqV/M7HJgQA5WSxWVM9TSD1nY8/UePman/QKWyzIkAReSTF9DUhT8vmnax6qFckfMe1HMVI6yyPYqFoBH+iws0HTLARiIaLGIotFAxq6Zx1FOnNKe0rn1uPSD7n29qpU0HzaU3dItVt23L6uA+fosWtTXuDEYjK9ORI9Y5JoCzRFZoJebJpVTaoUK9GGBFbcY9irEIU0B+Tt/VpwqKgjtcocWvbpoO2N7a4T6OOnmYBMqFjLtFfqDrtEV2SLqcz3TOQiDwiUbE3tVltNfbYtA2VjhW3Cf0l7DQYnORgPJInzMo/uBjFy1ScDhJE5yAkcxkCt96C6MC9pKmwnA4Dl73PxfWO2z83R2bdnAkKbgAAAABJRU5ErkJggg==\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle - \\\\frac{1}{x + 2} + \\\\frac{1}{x + 1}$\"\n      ],\n      \"text/plain\": [\n       \"    1       1  \\n\",\n       \"- ───── + ─────\\n\",\n       \"  x + 2   x + 1\"\n      ]\n     },\n     \"execution_count\": 95,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.apart(1/(x**2 + 3*x + 2), x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 96,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAE8AAAAwCAYAAABQQCeSAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAEp0lEQVRoBe2a0VEbMRCGbYYCSEpwOoBQQUgHhFSQ0AEZnuAtAx0AFWRIB5AKCHRgOgjjDsj/naWLJJ91BumwuHhn1vKt7lba/1YrnbTDx8fHQd/p+Ph4UzZeirf0f5LL3vVcikrTI5A21KcL8YP4vXgkzkpFgycAdmTtSOX5U602HvaJ5/T/QAXel5XWsmrLrwzvgYuk0sErEjTbqSzDVsMC7/gqfice6/rUNmDqLlRWQ8jK+1Dm8rxDA9iVQDkMgNnT9W4g68VlMngCbSQkbgwaH1XeB8gguw5kvbjMMWwfBOBPgwZe9j1AhhkzlHm36PkzCbgvpLcIVL8fVuj6TvKlhoJk8GTAxBiI8cS+elmhOpYHyKKeNwecgeQMd5YqdQzVdTGUPGwdS/ACvKEC08gBdCLZnXNfb/7mBI/Y99/EOzwgJ3gecPI2vA5mBu4lrWe06pt0sZ47UflHzJoPisa76S3d/KovbAYQc/m2hW5NCLlRmRxHs4GnzhDr6tlP14BIDPQ8EgteitR23Z8u2swybNXJM/Gt7aD+87b54oguUez9kZIXAhdJuTyP2MZazRJbQecC0a7/rPxJpZ5f2pBfpKPDHJuhMrJaj5kGiXWXpRu+CDht92QBr62RvtZniXl9BafNrhV4bQhF6lfgRcBpq1qB14ZQpH54dHTU/7PHCAApVavZNgG91bBdgZeAQMKjnXievi5GCX0q5tE2O7KDpwY7OZ1fEqIcAWBPI2WdMNQQ37jbKtnbexWkvkaTgAx49ypnNjmygSflbEP9UrlVOmqmr24SEAC+kbxx+0tytts+hPW5tqTAi81Pd1sKWWckQ9gGe6kkIOzCPu8INGfM25NB9bFjZ6j9U4ynw52TsQv7vPaygGe8YGnb7Z2jN20A+zjUr6katgbRlEQdzgrm7vo6+ml4W/xFzHLmsxjiQGYmIE+rivnFPlJH6tFlPS81UYfTqXHEzBOBcwrrHvJaCNY7umZWZigQT0on7OOF17QmAxCkJuoAAOmrMyT9eHQIDksa62nko4T1M3oKEGCfF/MYtsmJOtIBABNxE/0WgG48xPXrI0nVRY8HVV9KEhA2eJ63rs5VRqtk6gfZekxLxvoH2dx4prooSUeYp0I7Cy+i9by3PLCNSV4dOqlMPry2OlvKGQdZcx7AA56bqMNbAeQoyVCAg+yQHUi2AU/FRf/SRy80MWwt4ZLu8EK+aGIiSj2X5mEDCikPTBh4b+VF+u+2w2S1sCeid0mE57n99hJ9vAoZhJfAiyTqMDRZgoRkdRBX7Zub2JtMG3aysuJSSz47PSxcz+PtPzdRB6VNn2Z4GzEUEAcCa198JeZevhfdyYpbXozUB0YEL5RlFtSWBIQN/qqAjIEm1tnGifi2qa5JpnvH4s2mui5kamtXfNCF7lCn2hmJx6G8mjDwBHFqog5vpXFm5LV2QAz/OgR0oN9Vyaj0vU4CO9vikj+cu/kCeFKijsBneLLLMTNxOHqz/VU716bNbDqbFBl7GndvbMwDWW5g15REHTzxOWs7ljvEEmbpvhDxuXEhn20z1CJl3hTfrfVi29a9tlI28GmJh3srEWvHX0NmbvQ7U+kvAAAAAElFTkSuQmCC\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{y + 1}{y \\\\left(x + 1\\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"  y + 1  \\n\",\n       \"─────────\\n\",\n       \"y⋅(x + 1)\"\n      ]\n     },\n     \"execution_count\": 96,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.together(1 / (y * x + y) + 1 / (1+x))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 97,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAADAAAAAtCAYAAADoSujCAAAACXBIWXMAAA7EAAAOxAGVKw4bAAACBElEQVRoBe2ZbU6DQBCGwXCAxiP0CH7coN5A4wm0N9D4q/3b3kA9gt5Ab1DbI3iEpjfA50WWEAKFJswGkp3kzcAOzM7XwjLEaZpGVrRcLi/Q/QEuOT5YzJP0rRRDJ+h8B3twBabAjCwcUKTvZDHOPMGUBTM6M9PsSXFwwFOgG6cJGWgMjSdByICnQDdOEzLQGBpPgtFnILbYzLGF0AZOeyLthcR/wQ5skK3hvZGJA71Z10HR6EsoONAhy6aXhAyYhreD8pCBDkEyvWT0GYgXi4VdX8U09v/Kw5vYQ5CPTjH6NRAcOJpfD8LeW4tWNvMdUdsoHrQDGN3aKDZ3ACNmZGUKfzs1O9zT2ij2sYgVRcGEfDhgYrhTWpRQXm+PueAa/gCm4D4f0wf5Z348GFbOwAoD1wLWbYD+ssw4f4arBFZgcJQ5gJGKfNXAW8ZcxM9r5INwxpXQD06od+PohoOdG4Nnv4ycsI5zzSvjeuJUSc5HyOdVAeeao1V3zX3FUOYAStR0KpMMUel0pgYDI8aVST1Ge21oOcPKayAbYyIXRVc+MmIiuJuGxJPcMLUCtYi/4VmqOS6X1AvnJ2XEl5PKgCIu7HNn9H/3ADJiTDI9lQZJCVYp6nrNy9AIg+fgC2hRboEcK8pJ1/gk5i43ijX1lrGiUWz+SclkfhexQXRVjkVJ9q3/D1xelBsYAjfpAAAAAElFTkSuQmCC\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{1}{x + 1}$\"\n      ],\n      \"text/plain\": [\n       \"  1  \\n\",\n       \"─────\\n\",\n       \"x + 1\"\n      ]\n     },\n     \"execution_count\": 97,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.cancel(y / (y * x + y))\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Substitutions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 98,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 2 y$\"\n      ],\n      \"text/plain\": [\n       \"2⋅y\"\n      ]\n     },\n     \"execution_count\": 98,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"(x + y).subs(x, y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 99,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\sin{\\\\left(y e^{y} \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"   ⎛   y⎞\\n\",\n       \"sin⎝y⋅ℯ ⎠\"\n      ]\n     },\n     \"execution_count\": 99,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.sin(x * sympy.exp(x)).subs(x, y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 100,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\cos{\\\\left(y e^{y} \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"   ⎛   y⎞\\n\",\n       \"cos⎝y⋅ℯ ⎠\"\n      ]\n     },\n     \"execution_count\": 100,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.sin(x * z).subs({z: sympy.exp(y), x: y, sympy.sin: sympy.cos})\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 101,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"expr = x * y + z**2 *x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 102,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"values = {x: 1.25, y: 0.4, z: 3.2}\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 103,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 13.3$\"\n      ],\n      \"text/plain\": [\n       \"13.3000000000000\"\n      ]\n     },\n     \"execution_count\": 103,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"expr.subs(values)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Numerical evaluation\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 104,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 4.14159265358979$\"\n      ],\n      \"text/plain\": [\n       \"4.14159265358979\"\n      ]\n     },\n     \"execution_count\": 104,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.N(1 + pi)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 105,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 3.1415926535897932384626433832795028841971693993751$\"\n      ],\n      \"text/plain\": [\n       \"3.1415926535897932384626433832795028841971693993751\"\n      ]\n     },\n     \"execution_count\": 105,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.N(pi, 50)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 106,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle x + 0.3183099$\"\n      ],\n      \"text/plain\": [\n       \"x + 0.3183099\"\n      ]\n     },\n     \"execution_count\": 106,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"(x + 1/pi).evalf(7)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 107,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"expr = sympy.sin(pi * x * sympy.exp(x))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 108,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[ 0, \\\\  0.774, \\\\  0.642, \\\\  0.722, \\\\  0.944, \\\\  0.205, \\\\  0.974, \\\\  0.977, \\\\  -0.87, \\\\  -0.695\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"[0, 0.774, 0.642, 0.722, 0.944, 0.205, 0.974, 0.977, -0.87, -0.695]\"\n      ]\n     },\n     \"execution_count\": 108,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"[expr.subs(x, xx).evalf(3) for xx in range(0, 10)]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 109,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"expr_func = sympy.lambdify(x, expr)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 110,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0.773942685266709$\"\n      ],\n      \"text/plain\": [\n       \"0.773942685266709\"\n      ]\n     },\n     \"execution_count\": 110,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"expr_func(1.0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 111,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"expr_func = sympy.lambdify(x, expr, 'numpy')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 112,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 113,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"xvalues = np.arange(0, 10)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 114,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 0.        ,  0.77394269,  0.64198244,  0.72163867,  0.94361635,\\n\",\n       \"        0.20523391,  0.97398794,  0.97734066, -0.87034418, -0.69512687])\"\n      ]\n     },\n     \"execution_count\": 114,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"expr_func(xvalues)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Calculus\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 115,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"f = sympy.Function('f')(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 116,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{d}{d x} f{\\\\left(x \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"d       \\n\",\n       \"──(f(x))\\n\",\n       \"dx      \"\n      ]\n     },\n     \"execution_count\": 116,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.diff(f, x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 117,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAEkAAAAuCAYAAABkgjQ+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAFyklEQVRoBd2a7XEUORCG1y4HYHwRnMkAjgiwM+BMBEAGR/mf/1F2BkAEBjIwGdiQwTkDfJuBeR5ZUsnanZndnbFvZ7tKK40+Wup3ulstzW7d3t5OhqCTk5Nd+BxHXvsxf0P9dAj+/yePnQEnPwWQd4kf5Y+Uf5Ceprqx5tsDLvwtwBwU/E4p71P3rKgbZXFIkNSiq1Gi0LHorVV8UtSOz/DW93zhOZtZmo86NekV+ejNbSWfhOA/AeA5uV7/IgGTcuo1sVek56luzPnK5gYQyf98LwGgXu1SiwRx9Dubsq2kSQ6EDknXJRAJIHLbJuRq1JT82uexUh+Q1KSsRQChBrntv4/giIm+6r2FMdNCIEUAFFbz+UUSHLXkAymRMZEBpXkmxs449dw4kkInSAipxnwl6WOC2ZAnZ11q0pORyLz0MlsdN2CoGQKkCZV+xfJP6jbCMXeh1goSg92lBOpLxeieP6raNu6xC6QjJP5eakzULp10MrmNA6UWqBGkCIZaZOBYksBNaM/+qGzcxHIjSIWwl0XZ4t+kABxAeexQqzaaGkFCeJ2yYGQQqHsbn9NB9gV1pUNfC7D6vLh5YxtBitK+JBeIf0g6ccExmt6zjvyctFYU19XnesbrHWXLtNItQB79yAUWb0Sfwo4PPKdyWAnPHqp9qb2ifMYLkkeubzLu0iT7rAWxYDV5j6T2avaGIZlod5M5Ju8FkAzhcRZ5yXM8ILFWgREggdLs691VENW0oUhe8pyMwtx4s2qNcdkTyvdMTCEk6v8jDXo0kies/xyLuc1cywRk4g/CCOJD7LLyPNopJ1u3MsJrYgIkCDc8e440r28WjN1q86Pqjuivb5GX9IL0hmRo85okXdInOOm7x/wrz8O11iQW/okkAAr50TKpBkiJ/iL9a6GB/Nx1ZqLd4Pgz6YBnnby8g+8hr0me+2sNkitGEN+41KgptCnojZ1qYrwaVINgqJA0x42gbk9s5Lm7A5NhPuEmtkvmzL/VMSQEhvQLR6GGvgo6bWi7YmzprzRfr3lCHbma2kT22RekrkU2MXisen1IKeRS8yJfDa7+bdFYKoC/9uaGQGpSLWgNlCBqcq0EYAIkJVObULdruque+bX+Zq13t7hknXJ5lz4jiYKQku/K7VF4d0Qdtz4tOH3KpWa2Relq0vWDgxQXehxXngRZ6N8mjLW/b7PNactaTdMsa1JzTF4/B62gPE2dqLOtvgpKzeZ+XL14cJCYpM+/TTS1CcJ0mZvR+LwjieB+IgmGfN6RLkj29auOMVc2PftU5LjT1mMJDFykMYVvdO43f+pbCR7unofkQRvI5WX84deXVuFpVxivZdp2ILoEAORpHNXKM3Re4Ac+rlNAn2639XdCkiqnqvq2ViH9wNWiA5nP2079iKQ/Og+l7h9jnXmBZvfI+T3cAUP81AqSY1lwUFWKXX7B7jPEeKPm7AfooCDe1TS9cReWdxz6tZlDns95ePDCTA3oRZGHvOQ5WcQntR4ul1kNk2q+Rrtt/zYJINHHvNPM6FOS/dVC19yHNPM8d6tPchYE08EZtfZSZcb7hsPklEvNcprBKM5zQB60YFnGjPMY42e0HCbcAylOoC0qxC87kwRJh5jVnrI+auFTdeTrLhfeDrkaNZp/m2RzY+H6HlW19Zs/7VLe1hnnfbA7oNcNxiNqi6YSQOU5adBo/20SQEIQNUOAOr/507fpVJ3OQ3sRJLJAaqL8zTPBp5f5ZkaPUEialJzlvG/+2cziepY6VQPGoFeqj4DJzBQpBDiiZaFv/ghdb92a6fkM5w2q2EZoTcFUCy9wE9ob4yPaBEjK2iY/0131Zvwmc1Oay0okd6IAHEIb21i+Iem7Vj1VM3R8pCZNWbYA5EiVOp2zz1ckya+ixg1qjsmDodoiaI4PRJ1tNdixdbxZiJOiwGEbR5Q/SPoYhdehK7T+ynOcwFgXLt159nJdLTPCdffqOlXTZXz0G7XfOjpQRMcnAAAAAElFTkSuQmCC\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{d^{2}}{d x^{2}} f{\\\\left(x \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"  2      \\n\",\n       \" d       \\n\",\n       \"───(f(x))\\n\",\n       \"  2      \\n\",\n       \"dx       \"\n      ]\n     },\n     \"execution_count\": 117,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.diff(f, x, x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 118,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{d^{3}}{d x^{3}} f{\\\\left(x \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"  3      \\n\",\n       \" d       \\n\",\n       \"───(f(x))\\n\",\n       \"  3      \\n\",\n       \"dx       \"\n      ]\n     },\n     \"execution_count\": 118,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.diff(f, x, 3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 119,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"g = sympy.Function('g')(x, y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 120,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{\\\\partial^{2}}{\\\\partial y\\\\partial x} g{\\\\left(x,y \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"   2          \\n\",\n       \"  ∂           \\n\",\n       \"─────(g(x, y))\\n\",\n       \"∂y ∂x         \"\n      ]\n     },\n     \"execution_count\": 120,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"g.diff(x, y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 121,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAH0AAAAyCAYAAABxjtScAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAJEElEQVR4Ae2c7VUUPRTHBw4FoFYgdoBSgdABQgVoB3j4BN842AFSgWIHaAWKHcBTgUgHPP9fNjdms5ndnd2ZcXFzzwmZ3CQ3d+5b3mZZeXh4qBYJTk5ONsTPO6UrzxflW+G/+nLJ5pTA6pz9u+iOkt8qofRzpRdF4ZJCi7DWIq2pSEmB62q4p0T+VeWfmY6va/CZpgXVVAIrfYZ3KXJbDO4o4cF3Sih/R/g3yh34NtQ9VTLDuB/Ulr9tSKA3pUuZKPBI+fuYcZUPVd5S7hSvHMNgTqcdyr9Q+iT8F+UFWpBAn0o/E78o+IkUGDxXzxjDb6WXeh4J9cJtqu5a+YryAi1IoM+F3I34/SjlBYXDvy+Dw8Mp75JHcMuz8K4+wpfHGSWwNmO/xt2ktI8TOm35+ku1jb2euR1wyh88lr/zSKA3pcOklMlW7KWSeft3PbP/JsQbfFC7OMzj+V+EK0o3Cc2Z96Z0KY19N4csLNIc6JmQjSEAptRT4Zn/fyk9o0LlsLqnXGA+CfSykJPS3OmacrZrQyAccz0HMm/0XFboQ9LpptC5p0uReDIePclbyzFrNzoeodrH6p399v0YL8bLmbNtnh9hsiDalUAfSkepWS+WookAACd0BXqSQKdKl1JROGCLtEHpz1+iwE+1yxrFn2blqU0JdK10lJ0N21I0W7Fp5vo237fQkgQ6VbqXMN48dMomhXO0ypk6hzB1UcB3f3yZ3ski3F9nPsdLX1s2lL6vxAWKwXsxlI0C1uAx5non7hc4j1iI7af4IJpuKv9g8uxF6TbYv55LsBg3N4ZEt4UB8TNkiEXpLalGguUo+ZtyjpkXDsTXtZji45T7Pub0hRNARwxxdLzIW094g8eqeDpSaAHkQb+VnrRAqjMS8Cjiz4untyBiCZPF0mPYhcDj3loL7/zPk5BSWaBxWcTlEMDKfFt4+0aAe4XaAya1Y76320S+GzhQYlvHjgb4rjaNVvsRzRfqf6NyWJ37ugvl6X0HPO4UT0fkY0CCYx7k2753SggW5bAoigX6SmUzCD2OwBl9fX++IeCMAqNhlY9BuLlWeROAJ/jhBvMo6binMoaagrvRLEpPxRKVJVQEx3bntaGFI0SiKHdd7PGU4zMIjw4fjqRKha55Nl8GpfWhf+5BPBAlMB6ACJROLeBykQce19dEYLF+4iKu/gZIDrkPL/FIvs2/N570zGkiYErjGcWFNiAi+KE+sVJQCPcNDqc8jhhRt7GPd+pn4+PVp0lr1hgpjiaMuYHScy9Lg6UGyQXl4sHpNgyBclUcK7JWVmoXf/pFO/rPdXgjms7AlEMLHm1tUQlnfOc83RlnCe+SWA0wTwOp0nKhEwNA+GPBK4k25qUoaZ00tmN9JVGCqOGMwDczo0z5pppx7orSvaTqMgk0eLRXDkKN53O6Mlcyzw4B7ZWulOgDuO8DVQ40hWNBFiutUnlaI2DMmBZj5IwSPICn3665x+SPH5S5gsHrfm+W9Kovenq2wjThHAg/9LIxhQ54YFwWUIzJe20p8RFmziNUVX1WOlf9hpIJljkeoC4GaEAvBZRN4nKJMTGO8M7CUWcLMj26hR/tOOjBgycd6cIXinTg6UEzfHzqqyyD3tWqlSz3HVEQcwJzxSvhLq1+xpwtCy9OIiTx8mx7sqA2MN46D6L5TLT5wQVbHYT9TSkLaoNy8Bp4P1RihQ3f3KAFxakM4PnMpSmYDHmft+qHMjB2jIl9O5EghHo6qwxtlDlN2HdrA/VxPKoPsgVy8zl4+PhS8QNGS8fHx+tKZ1a2XLhDpUsrN83V90Fp2/rpecPjNg1nufBd8bAp2mE8PZ8pXdu40+Rqf6N0nmvr6wL9XJsmONHbVVpv2Kf2nUQLmd9AL/V0vAurJsTEgMfvCp+z5rhd3TMW/qOuMsF3woN4J1wShg0I9edWiHPeU4lf2gQ5gFMbpohsH+GJBHVhVVWNgSvaNKIEIqojWoRoqWd4JXqchkbDD0QFdx6QKp0Tm4m/NxumNbkkhlKaCIcwGSvBCHXCgxHXmBg1wkJoYatj9T7H8AiFDtQOgTKfMz3leK48LeZ/DGMuEA3G+zWBCPx9itrAH3Iemi6o9zzBm3vftagTlXVCsGa5xYrVTZVrDDwGL8suUrrmQfQ5DuU98eSKcoZxvJn5e0/1nG2jBBReN1eq2gFzKusf1gLzAOPm+Ipp4rkokhNDeMSI6/jjfWy+H71aVUdCBAq5VwJY8ECMazm+Tw+dVW4E6mvhkV+zGP0RGl3yYINpDIwPj49/LGnVM+f+HbeVT3Kgmcdo0tHLkh2Y7UCq1NNZhU7ze7NKRLB+DGSqWx61R+GsMp0XKEfo98oDMypXKs/CA12JQgdKjLOvBLjbK9GE1/+U4n9rYkbHIUw2ZAvfGPz7LITCYV78jPCyam+lSoRNo6HFiMp4ueHweoMj1RGC6MccGAN7fEK4A7UzD2dfzCIJhUOTEBpA+KY8YEQTb6/UBgUzVmxgzIngPystFThPl1DwWIQwKXS7OUPtUaIZAJ4bC1PFkVMhwijeRh5AdMyYqhl4gGe3Gg0EB4bm9q7CPU3qeTcM1RZIRAZCu3m8issBFt4RFKF2ZOXnxYCS49+bNbrlEd1pPiNqykOj2yvxQAhvLYx7uTzKzMI7Ss2u/CQsIgDACtCBcM47fB0eHOYN4Qjd4LL0HIH8n6Y8pAqEz3gLkx+lYKtVKQlhA2mIHmAH14AcbOSUSMikLg6RCJ+okSrF6I3kc/JQqb8ZZohUwk1zjDnCyzIgUDrKjpUW3lt1LMYQaN1cj8GkxsIcnzMQofPQlAev0Ma3V/nRlw+76l+Z+TSstsFJsITpC6VxvzcbUrj6YCAktwpX3gSa8GDjsLZgKrlTCobr+bCFZhMelqJt+O5dgkLp+0oI0IBTqCBMQ1ruBY5hoHxWxezZ3d5ddUMGIfxEmJYHPy4rd45sK5XZtsE/UYYdQrzQVLFALIGg9Bg567MEjyK2lWePWGelW/q1KwEL742pSrGc9YZ9t54Js3j5aWNipUOvEphZ6eKSeTXeIhHms7c8vb5RGWyiBGYO7/Js5tANPwJzObdWjVbtE7krDTqRwP86tfeKz9xUUAAAAABJRU5ErkJggg==\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{\\\\partial^{5}}{\\\\partial y^{2}\\\\partial x^{3}} g{\\\\left(x,y \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"    5           \\n\",\n       \"   ∂            \\n\",\n       \"───────(g(x, y))\\n\",\n       \"  2   3         \\n\",\n       \"∂y  ∂x          \"\n      ]\n     },\n     \"execution_count\": 121,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"g.diff(x, 3, y, 2)         # equivalent to s.diff(g, x, x, x, y, y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 122,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"expr = x**4 + x**3 + x**2 + x + 1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 123,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAKoAAAAVCAYAAADW6nUiAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAE/UlEQVRoBe2a7VEbMRCGTYYCIOkAOiDQAXRAhgqADsLwj38MdJCkAkI6SFIBHx2EDgLugDzPjXQjyz7HvrPxncc7syOdpNPtq13trmSvvb6+9uZFFxcXW8x9CPfhDXgPvqT9kXIpCCziOg9gxCsd0y7mFc1oBdZnNE/VNFd0PKG0awdQfqb4DW/6vCR0Ba7TiIX6F+oP8HZsW5XNV+Bd8ynGznBJ700y4gP1p+R5GaonGOd+AsTNuUXbTtK2qjZcgbl6VJSVh3jTABW5TKQ3vV8mQG3EsjbPHDUCxmAN+UfwDfUiDYh9y1aCz414SLkK/TNUbqWhstCGrlPKMv9q8l3m8dBxC/+kvhBj5bsediIe5fHZHPMXZWNiHtdMjB+pL+QwFTCeBTC7lM/wGe15dAtD2leMWsdxhvoHCI+89GlWUIIAHjRU5JsuHN/TMPODzwltHn4+0f+DsjbxvkYf51qkkYqx1Bl1PbwR7YD6TDZk7UUa8yKyqZ9vsBvLDeam36S9WMuRhyk6BdaI/DD8AqeHiqhABZmamGsf1rjqkO958DFPjvQ9VOL1UmyfqmTO6Jk1hj68E9qmmsfBvNcEo0Z5nH6U+fSurruefu5UV37ec910GEa8m1zQIUNloIYlsGhU+TsTPfthBro70lO+p2Pbo4FQnYo2GC3XIT2435YLCjLGx1olc2ikelLvhzVQ18/FFnsdaoLR9dU55GukJ9VxKOu8qYn8lbKNOvUfAcicJuZylS9P0GEIOmeuv2GsF/4Lyd+QQWUN3N/SFr2rhlaXTGVUjmVJM1q/cr4JK2J0s/QrxucGXDGsfc0DhgpAQ/5YpTFGsDH8aniGGneqp3rpjjFFvkepF5NbR8im9zFUemD8mgrI8zQYB4w/neet68hd5qbZt4v0i/5SF9NgzOZayGMZ+hFcYzNPSEP1KKFM1q9lOu9gE2DzKnMhFazyW0vIqcdxQxoxVNyoO9BOY0wXX7w8q9t4ExC7O4WxNFSkH/IsEVEsAa0nzQ3R8BlPzO9H9MfXW1GCwZsMN5rex6T9gXpMAXrUO48xW2gPUV/BVV4JdhFjEfqD4GNDfgB/z9jU4x7QruKLNsqq0JOt3fhH5lEWQ3NOboQe/aPy56mv0pjnB9xnylvKeBWyNBjB5Dr+oszXqzHGMPfcdaS+pXU+aFjwRJgaoH1DxJgyxwmdCpqHlKH3pm3gO/nCFlPQrufzd/TSO0w6N+8M5WnhXUO/OGQNt7MYA56iAEdxjqAcWstZYBw1rx+mvbaOUvnz+joNGuoeH8jv2YrcJrT7D6gBg+RZxUox7PdoM0e11Eu1hoJcxamcevSc/5WPsZ3BmIJBbo1lm7I0UurquUc54JB47gRGPapXGvIA0f5Cg2GjCOeUGqHGbBLu+GIRqKfAvYoaMGjGLZyQyUOim0c8+SbaDQLa11mMcZHBoIPR8eR60HjNVTuJUY9aRQKSI7nzZO9YbX+G+3BBtNnnLUBbKVdcD5lVnlg8SGrMPncWI/LrNXUmbrr0zGFu722Hh8hOYlwHwAAFgLuhcZ/nn9Rl7xplFdmjXeX6BxMXxLD6TL1MAxzTJkI2vYl4UgWq2PQ3cCNFZzEiu0YqpnjPTbWkmHu3FiO6UX4dR7Q/b2SU+67yTyklvBZVEFpvUOsw1SIYY0XpOsZ5yf9u7Kq1r9NUo0w32ifeTCTqOsa5yP8PGft3wQh6wy4AAAAASUVORK5CYII=\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 4 x^{3} + 3 x^{2} + 2 x + 1$\"\n      ],\n      \"text/plain\": [\n       \"   3      2          \\n\",\n       \"4⋅x  + 3⋅x  + 2⋅x + 1\"\n      ]\n     },\n     \"execution_count\": 123,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"expr.diff(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 124,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 2 \\\\cdot \\\\left(6 x^{2} + 3 x + 1\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"  ⎛   2          ⎞\\n\",\n       \"2⋅⎝6⋅x  + 3⋅x + 1⎠\"\n      ]\n     },\n     \"execution_count\": 124,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"expr.diff(x, x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 125,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"expr = (x + 1)**3 * y ** 2 * (z - 1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 126,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 6 y \\\\left(x + 1\\\\right)^{2}$\"\n      ],\n      \"text/plain\": [\n       \"           2\\n\",\n       \"6⋅y⋅(x + 1) \"\n      ]\n     },\n     \"execution_count\": 126,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"expr.diff(x, y, z)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 127,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"expr = sympy.sin(x * y) * sympy.cos(x / 2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 128,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle y \\\\cos{\\\\left(\\\\frac{x}{2} \\\\right)} \\\\cos{\\\\left(x y \\\\right)} - \\\\frac{\\\\sin{\\\\left(\\\\frac{x}{2} \\\\right)} \\\\sin{\\\\left(x y \\\\right)}}{2}$\"\n      ],\n      \"text/plain\": [\n       \"                       ⎛x⎞         \\n\",\n       \"                    sin⎜─⎟⋅sin(x⋅y)\\n\",\n       \"     ⎛x⎞               ⎝2⎠         \\n\",\n       \"y⋅cos⎜─⎟⋅cos(x⋅y) - ───────────────\\n\",\n       \"     ⎝2⎠                   2       \"\n      ]\n     },\n     \"execution_count\": 128,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"expr.diff(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 129,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"expr = sympy.functions.special.polynomials.hermite(x, 0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 130,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{2^{x} \\\\sqrt{\\\\pi} \\\\operatorname{polygamma}{\\\\left(0,\\\\frac{1}{2} - \\\\frac{x}{2} \\\\right)}}{2 \\\\Gamma\\\\left(\\\\frac{1}{2} - \\\\frac{x}{2}\\\\right)} + \\\\frac{2^{x} \\\\sqrt{\\\\pi} \\\\log{\\\\left(2 \\\\right)}}{\\\\Gamma\\\\left(\\\\frac{1}{2} - \\\\frac{x}{2}\\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \" x             ⎛   1   x⎞               \\n\",\n       \"2 ⋅√π⋅polygamma⎜0, ─ - ─⎟    x          \\n\",\n       \"               ⎝   2   2⎠   2 ⋅√π⋅log(2)\\n\",\n       \"───────────────────────── + ────────────\\n\",\n       \"           ⎛1   x⎞             ⎛1   x⎞  \\n\",\n       \"        2⋅Γ⎜─ - ─⎟            Γ⎜─ - ─⎟  \\n\",\n       \"           ⎝2   2⎠             ⎝2   2⎠  \"\n      ]\n     },\n     \"execution_count\": 130,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"expr.diff(x).doit()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 131,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"d = sympy.Derivative(sympy.exp(sympy.cos(x)), x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 132,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{d}{d x} e^{\\\\cos{\\\\left(x \\\\right)}}$\"\n      ],\n      \"text/plain\": [\n       \"d ⎛ cos(x)⎞\\n\",\n       \"──⎝ℯ      ⎠\\n\",\n       \"dx         \"\n      ]\n     },\n     \"execution_count\": 132,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"d\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 133,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle - e^{\\\\cos{\\\\left(x \\\\right)}} \\\\sin{\\\\left(x \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"  cos(x)       \\n\",\n       \"-ℯ      ⋅sin(x)\"\n      ]\n     },\n     \"execution_count\": 133,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"d.doit()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Integrals\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 134,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"a, b = sympy.symbols(\\\"a, b\\\")\\n\",\n    \"x, y = sympy.symbols('x, y')\\n\",\n    \"f = sympy.Function('f')(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 135,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\int f{\\\\left(x \\\\right)}\\\\, dx$\"\n      ],\n      \"text/plain\": [\n       \"⌠        \\n\",\n       \"⎮ f(x) dx\\n\",\n       \"⌡        \"\n      ]\n     },\n     \"execution_count\": 135,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.integrate(f)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 136,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\int\\\\limits_{a}^{b} f{\\\\left(x \\\\right)}\\\\, dx$\"\n      ],\n      \"text/plain\": [\n       \"b        \\n\",\n       \"⌠        \\n\",\n       \"⎮ f(x) dx\\n\",\n       \"⌡        \\n\",\n       \"a        \"\n      ]\n     },\n     \"execution_count\": 136,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.integrate(f, (x, a, b))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 137,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle - \\\\cos{\\\\left(x \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"-cos(x)\"\n      ]\n     },\n     \"execution_count\": 137,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.integrate(sympy.sin(x))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 138,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\cos{\\\\left(a \\\\right)} - \\\\cos{\\\\left(b \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"cos(a) - cos(b)\"\n      ]\n     },\n     \"execution_count\": 138,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.integrate(sympy.sin(x), (x, a, b))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 139,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{\\\\sqrt{\\\\pi}}{2}$\"\n      ],\n      \"text/plain\": [\n       \"√π\\n\",\n       \"──\\n\",\n       \"2 \"\n      ]\n     },\n     \"execution_count\": 139,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.integrate(sympy.exp(-x**2), (x, 0, oo))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 140,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"a, b, c = sympy.symbols(\\\"a, b, c\\\", positive=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 141,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAADEAAAAVCAYAAADvoQY8AAAACXBIWXMAAA7EAAAOxAGVKw4bAAACp0lEQVRYCc2V7U0cMRCGfacUQJQOoAM+Kgh0QCgBOgjKv/t3unQAqYCEDkIHBDoIHYCug8vzGHtZ796t2JWi25FGY8+HPa9nbE9Wq1UYSrPZbJ/Yh77xxE36xnT5f+gyvsO2wOeApB7f4fvfXKZDV05VCNsGYP6DQRD7DbYSW6dBIDj9XTLfRd5tHQEJDAJB3GXiMWDoD4LT3yHzw7FUwVMcUgnvwdzgsdCkzz+RqvCA3GsCQPcVnZfdSm2ia/wu6kbm3i/bcwk/w7fwKfrvyBah9xD1kz7BN33/ibUvUlrYRb/AgjiCb+DDNI8PAH7Ff8L8GPsv2L/mCRmQvxHHSAELLBJjwWq7ZCzQgLxCLCoQKE5RLJFdL44nVFSBub/2PTIvbEWumD/BJnmHLJJHF9AJVgAmFQGohxwbWwGI2lcAt+jjPkl3hpxHEBhyK7jAQXIoRPIReUHoTbCe5Am63ApW5LoIeJvYFgL5+aaKI4HXEw2s575WoriL6D8aMWWg0Y3kfeae7Dq6wJaTW2cPKbZ+gq5Xn9fjPEWrVNkZCyq3Tadv3SiIXLqM0r4vCJ9zFK0qFE6vEy+tdyGTCbUoJWvC9QrqJ7CAvWrpDl9dI03zAGdPxGrY983NfT02tUVcIm0m2CoBDehtj0103zD4MERgxMU8kLlSfxu+cer6FYjkYJ9KJh3JxRh4ofJiydISAnhs+Blz0vRMPiZbHRY6453/Sf5H6PKF9wBbdxW7+b7Ei52CgkGwJ3mO9NUwCdvrc/bpkCabWzK7FVXJyiRd8wd7+KjE9x7pGoukq9qSufdRvUnnP4JhmKNbtj47lJY/vsdIT8LXxl4fLTXbKZCwp2eprYCcW4zhOKkFIqVpW+zAtlfuy3EiIKu1IEjcz8bkqws+WgQk9g+odQWMD1wRsQAAAABJRU5ErkJggg==\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\sqrt{\\\\pi} a c$\"\n      ],\n      \"text/plain\": [\n       \"√π⋅a⋅c\"\n      ]\n     },\n     \"execution_count\": 141,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.integrate(a * sympy.exp(-((x-b)/c)**2), (x, -oo, oo))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 142,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\int \\\\sin{\\\\left(x \\\\cos{\\\\left(x \\\\right)} \\\\right)}\\\\, dx$\"\n      ],\n      \"text/plain\": [\n       \"⌠                 \\n\",\n       \"⎮ sin(x⋅cos(x)) dx\\n\",\n       \"⌡                 \"\n      ]\n     },\n     \"execution_count\": 142,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.integrate(sympy.sin(x * sympy.cos(x)))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 143,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"expr = sympy.sin(x*sympy.exp(y))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 144,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle - e^{- y} \\\\cos{\\\\left(x e^{y} \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"  -y    ⎛   y⎞\\n\",\n       \"-ℯ  ⋅cos⎝x⋅ℯ ⎠\"\n      ]\n     },\n     \"execution_count\": 144,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.integrate(expr, x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 145,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"expr = (x + y)**2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 146,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{x^{3}}{3} + x^{2} y + x y^{2}$\"\n      ],\n      \"text/plain\": [\n       \" 3              \\n\",\n       \"x     2        2\\n\",\n       \"── + x ⋅y + x⋅y \\n\",\n       \"3               \"\n      ]\n     },\n     \"execution_count\": 146,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.integrate(expr, x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 147,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{x^{3} y}{3} + \\\\frac{x^{2} y^{2}}{2} + \\\\frac{x y^{3}}{3}$\"\n      ],\n      \"text/plain\": [\n       \" 3      2  2      3\\n\",\n       \"x ⋅y   x ⋅y    x⋅y \\n\",\n       \"──── + ───── + ────\\n\",\n       \" 3       2      3  \"\n      ]\n     },\n     \"execution_count\": 147,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.integrate(expr, x, y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 148,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAAsAAAAsCAYAAACzBUKoAAAACXBIWXMAAA7EAAAOxAGVKw4bAAABrElEQVQ4Ee2VO04DMRCGN4EDJBxhuUGAPgVH4HEClCMAVdKhvQKcgISSLinSUKGkpIOWCpQbhO83O5bteFFoESONPB5/M571a1vr9boYjUZlURTH6Bh7RZuVVg2fMDrJEt/OFUm6uzVwRLtE39DP2meNZrxUx+AOkQc2am1dXkH7EMJTA5K2Ajz1PtWc0+FwWKG9cKwJLAGnISi77aeIjYquNJY0mozKinuzvFzmAem0jBuSg7VB6Vq7wAhmmTp4SzS75REMdOhSbJMZUJklW2XWhwl8VkQq7tSlzqZ+WnMT5/z/cLg8v1qNls5uGP2T/ed30J4vvwhcrfQJuMfnLrCHcZRE6BkbYM8UTauXVbqvfrgpcs4M1CCia6aX1Un6PneBs/dPtGW+xtaD3QgKtpp72EtgtefoB6o6J2FZOzhU1xX6LmWw6vf7T+jjfD5foK/YL4z5MmT3AG9lBDLGvsOvhEUbw+r0Xx3AC2yB7qWyDxRoQQHrTe2BL0Owm8oPx4ab1TJri110zBT6g2lJ3Y46uO5o9/y5wNZMZ+iFJYhuSg1bOXtAN/j8X+ALNTLgMGEfOL4AAAAASUVORK5CYII=\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{7}{6}$\"\n      ],\n      \"text/plain\": [\n       \"7/6\"\n      ]\n     },\n     \"execution_count\": 148,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.integrate(expr, (x, 0, 1), (y, 0, 1))\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Series\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 149,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = sympy.Symbol(\\\"x\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 150,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"f = sympy.Function(\\\"f\\\")(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 151,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle f{\\\\left(0 \\\\right)} + x \\\\left. \\\\frac{d}{d \\\\xi} f{\\\\left(\\\\xi \\\\right)} \\\\right|_{\\\\substack{ \\\\xi=0 }} + \\\\frac{x^{2} \\\\left. \\\\frac{d^{2}}{d \\\\xi^{2}} f{\\\\left(\\\\xi \\\\right)} \\\\right|_{\\\\substack{ \\\\xi=0 }}}{2} + \\\\frac{x^{3} \\\\left. \\\\frac{d^{3}}{d \\\\xi^{3}} f{\\\\left(\\\\xi \\\\right)} \\\\right|_{\\\\substack{ \\\\xi=0 }}}{6} + \\\\frac{x^{4} \\\\left. \\\\frac{d^{4}}{d \\\\xi^{4}} f{\\\\left(\\\\xi \\\\right)} \\\\right|_{\\\\substack{ \\\\xi=0 }}}{24} + \\\\frac{x^{5} \\\\left. \\\\frac{d^{5}}{d \\\\xi^{5}} f{\\\\left(\\\\xi \\\\right)} \\\\right|_{\\\\substack{ \\\\xi=0 }}}{120} + O\\\\left(x^{6}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"                             ⎛  2      ⎞│         ⎛  3      ⎞│         ⎛  4      ⎞│         ⎛  5      ⎞│           \\n\",\n       \"                           2 ⎜ d       ⎟│       3 ⎜ d       ⎟│       4 ⎜ d       ⎟│       5 ⎜ d       ⎟│           \\n\",\n       \"                          x ⋅⎜───(f(ξ))⎟│      x ⋅⎜───(f(ξ))⎟│      x ⋅⎜───(f(ξ))⎟│      x ⋅⎜───(f(ξ))⎟│           \\n\",\n       \"                             ⎜  2      ⎟│         ⎜  3      ⎟│         ⎜  4      ⎟│         ⎜  5      ⎟│           \\n\",\n       \"         ⎛d       ⎞│         ⎝dξ       ⎠│ξ=0      ⎝dξ       ⎠│ξ=0      ⎝dξ       ⎠│ξ=0      ⎝dξ       ⎠│ξ=0    ⎛ 6⎞\\n\",\n       \"f(0) + x⋅⎜──(f(ξ))⎟│    + ────────────────── + ────────────────── + ────────────────── + ────────────────── + O⎝x ⎠\\n\",\n       \"         ⎝dξ      ⎠│ξ=0           2                    6                    24                  120                \"\n      ]\n     },\n     \"execution_count\": 151,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.series(f, x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 152,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x0 = sympy.Symbol(\\\"{x_0}\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 153,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle f{\\\\left({x_0} \\\\right)} + \\\\left(x - {x_0}\\\\right) \\\\left. \\\\frac{d}{d \\\\xi_{1}} f{\\\\left(\\\\xi_{1} \\\\right)} \\\\right|_{\\\\substack{ \\\\xi_{1}={x_0} }} + O\\\\left(\\\\left(x - {x_0}\\\\right)^{2}; x\\\\rightarrow {x_0}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"                       ⎛ d        ⎞│            ⎛           2           ⎞\\n\",\n       \"f({x_0}) + (x - {x_0})⋅⎜───(f(ξ₁))⎟│         + O⎝(x - {x_0}) ; x → {x_0}⎠\\n\",\n       \"                       ⎝dξ₁       ⎠│ξ₁={x_0}                             \"\n      ]\n     },\n     \"execution_count\": 153,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f.series(x, x0, n=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 154,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left(x - {x_0}\\\\right) \\\\left. \\\\frac{d}{d \\\\xi_{1}} f{\\\\left(\\\\xi_{1} \\\\right)} \\\\right|_{\\\\substack{ \\\\xi_{1}={x_0} }} + f{\\\\left({x_0} \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"            ⎛ d        ⎞│                   \\n\",\n       \"(x - {x_0})⋅⎜───(f(ξ₁))⎟│         + f({x_0})\\n\",\n       \"            ⎝dξ₁       ⎠│ξ₁={x_0}           \"\n      ]\n     },\n     \"execution_count\": 154,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f.series(x, x0, n=2).removeO()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 155,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 1 - \\\\frac{x^{2}}{2} + \\\\frac{x^{4}}{24} + O\\\\left(x^{6}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"     2    4        \\n\",\n       \"    x    x     ⎛ 6⎞\\n\",\n       \"1 - ── + ── + O⎝x ⎠\\n\",\n       \"    2    24        \"\n      ]\n     },\n     \"execution_count\": 155,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.cos(x).series()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 156,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle x - \\\\frac{x^{3}}{6} + \\\\frac{x^{5}}{120} + O\\\\left(x^{6}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"     3     5        \\n\",\n       \"    x     x     ⎛ 6⎞\\n\",\n       \"x - ── + ─── + O⎝x ⎠\\n\",\n       \"    6    120        \"\n      ]\n     },\n     \"execution_count\": 156,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.sin(x).series()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 157,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 1 + x + \\\\frac{x^{2}}{2} + \\\\frac{x^{3}}{6} + \\\\frac{x^{4}}{24} + \\\\frac{x^{5}}{120} + O\\\\left(x^{6}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"         2    3    4     5        \\n\",\n       \"        x    x    x     x     ⎛ 6⎞\\n\",\n       \"1 + x + ── + ── + ── + ─── + O⎝x ⎠\\n\",\n       \"        2    6    24   120        \"\n      ]\n     },\n     \"execution_count\": 157,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.exp(x).series()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 158,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 1 - x + x^{2} - x^{3} + x^{4} - x^{5} + O\\\\left(x^{6}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"         2    3    4    5    ⎛ 6⎞\\n\",\n       \"1 - x + x  - x  + x  - x  + O⎝x ⎠\"\n      ]\n     },\n     \"execution_count\": 158,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"(1/(1+x)).series()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 159,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"expr = sympy.cos(x) / (1 + sympy.sin(x * y))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 160,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 1 - x y + x^{2} \\\\left(y^{2} - \\\\frac{1}{2}\\\\right) + x^{3} \\\\left(- \\\\frac{5 y^{3}}{6} + \\\\frac{y}{2}\\\\right) + O\\\\left(x^{4}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"                           ⎛     3    ⎞        \\n\",\n       \"           2 ⎛ 2   1⎞    3 ⎜  5⋅y    y⎟    ⎛ 4⎞\\n\",\n       \"1 - x⋅y + x ⋅⎜y  - ─⎟ + x ⋅⎜- ──── + ─⎟ + O⎝x ⎠\\n\",\n       \"             ⎝     2⎠      ⎝   6     2⎠        \"\n      ]\n     },\n     \"execution_count\": 160,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"expr.series(x, n=4)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 161,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\cos{\\\\left(x \\\\right)} - x y \\\\cos{\\\\left(x \\\\right)} + x^{2} y^{2} \\\\cos{\\\\left(x \\\\right)} - \\\\frac{5 x^{3} y^{3} \\\\cos{\\\\left(x \\\\right)}}{6} + O\\\\left(y^{4}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"                                        3  3               \\n\",\n       \"                       2  2          5⋅x ⋅y ⋅cos(x)    ⎛ 4⎞\\n\",\n       \"cos(x) - x⋅y⋅cos(x) + x ⋅y ⋅cos(x) - ────────────── + O⎝y ⎠\\n\",\n       \"                                           6               \"\n      ]\n     },\n     \"execution_count\": 161,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"expr.series(y, n=4)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 162,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle - \\\\frac{61 x^{5} y^{5}}{120} + \\\\frac{5 x^{5} y^{3}}{12} - \\\\frac{x^{5} y}{24} + \\\\frac{2 x^{4} y^{4}}{3} - \\\\frac{x^{4} y^{2}}{2} + \\\\frac{x^{4}}{24} - \\\\frac{5 x^{3} y^{3}}{6} + \\\\frac{x^{3} y}{2} + x^{2} y^{2} - \\\\frac{x^{2}}{2} - x y + 1$\"\n      ],\n      \"text/plain\": [\n       \"      5  5      5  3    5        4  4    4  2    4      3  3    3              2          \\n\",\n       \"  61⋅x ⋅y    5⋅x ⋅y    x ⋅y   2⋅x ⋅y    x ⋅y    x    5⋅x ⋅y    x ⋅y    2  2   x           \\n\",\n       \"- ──────── + ─────── - ──── + ─────── - ───── + ── - ─────── + ──── + x ⋅y  - ── - x⋅y + 1\\n\",\n       \"    120         12      24       3        2     24      6       2             2           \"\n      ]\n     },\n     \"execution_count\": 162,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"expr.series(y).removeO().series(x).removeO().expand()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Limits\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 163,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAAgAAAAOCAYAAAASVl2WAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAXUlEQVQYGWP8//8/Aww0NDQYAdmrgdgYyP4AEmcBMgSA9GwgfgfEJkCsBMRwAFIAUhkKEgGyy4AUyBQ4YIKzcDBGFUAChmA4MIIiCxjEoAgCxQkoLkD0PSA+B8SnAeDgGGsGGU5UAAAAAElFTkSuQmCC\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 1$\"\n      ],\n      \"text/plain\": [\n       \"1\"\n      ]\n     },\n     \"execution_count\": 163,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.limit(sympy.sin(x) / x, x, 0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 164,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"f = sympy.Function('f')\\n\",\n    \"x, h = sympy.symbols(\\\"x, h\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 165,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"diff_limit = (f(x + h) - f(x))/h\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 166,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAEoAAAAVCAYAAADhCHhTAAAACXBIWXMAAA7EAAAOxAGVKw4bAAADIklEQVRYCd2Y7VEbMRCGnYwLMEkFsTsI0IHdAYQKQjoIwy/7L3QA6SChA0gFfHQQl+DQgfM8GunGHHfGuZPtGe/Mzp6+Xq1Wr1Z315nP551d1PF43G+6rqqx7zs7KJPJ5DvL+txiaf2IUUC8M+qbFBzoM98jesbzde65wTwC8xB71gab8QZ7ir0RZxuMMlA9dF8HcgqLEve8bZD0CYzLiCXm5gOFA3fMu4f9pgOZ5QK8q4yYYonZ2fjRy7iIV1AE/y+696qhRYWYDP+0jaPXwu36oSxoSOu0vkfjFjG/dBsPrxmIw942Ov2MhvONPaF+HzU//UK1d5SPsR2sY6z/gP5EpbtJWTlE7+ljzlgmYnmsK4Xx+nIaG8X8iurHSaxzjpC4YzkZMUdZAxWducCO0ixayiEfYd0dA/an1P5EeUC9NDdYRzyHwGAN4iP2Bl3GmAP6LctP+pX88Eb7gRocb9+Ui6oCpa/D3EdPZw+YODGJYpCyA3ULfqD3kPEFe3g2iIosXSbOOavqAIZMCkl5oV3GJr/cnHJ76ipmrxsX9dtCalnBHi8soOhOncdJYJOqlL1FZcL/vNMYrCp5yz8X+1w1kLoHfFjcHBn/lOqwIQXUjHVc30AJnvOdRqxzVAa4S1L+Gl3H6wDwbwtzJ1amzvq26uaFDch69HCorydYz70B86o2QKeUzTXrFHf+LdbpWzrC6dhZ11NrnLN+1q1pbFptMAxWSsSyVTZJdfNXeWepyiYe+bBRi4gxAN6oMtt0kBL64lFc9jYvo6ZZGRUddNLy7lguX93lPg7XqabiJnjtl0UGqbPolwF1A4NQZ9t9LFYZT8Zt1jfzOKns8UpNgfjoRLSZ6GWceUt2KSZuE6lMsF6nXYT15hD72W69DDABVybeOPcVdkC/Qijrh9jhlYTyJeqNp59+nBvA4hhSfiG0OW6UNVAvZthCIS6q8kZu4g54bqCbPFjH0WviU64xMifn7Sqrxdz83wMnXZew8/7f8qebTGglEUOs8M9s1xhlcMxhyz5lVg2gGEU+3KkclSIQ2eCnUKM/qIzzk8fLp3iF+Achi/pu+QW8DAAAAABJRU5ErkJggg==\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle - \\\\sin{\\\\left(x \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"-sin(x)\"\n      ]\n     },\n     \"execution_count\": 166,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.limit(diff_limit.subs(f, sympy.cos), h, 0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 167,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\cos{\\\\left(x \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"cos(x)\"\n      ]\n     },\n     \"execution_count\": 167,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.limit(diff_limit.subs(f, sympy.sin), h, 0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 168,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"expr = (x**2 - 3*x) / (2*x - 2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 169,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"p = sympy.limit(expr/x, x, oo)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 170,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"q = sympy.limit(expr - p*x, x, oo)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 171,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAFAAAAAyCAYAAADLLVz8AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAFMklEQVRoBe2b7XEURxCGJRUByHIGUgbCRICcgcERWGQA5X/654IMgAyMMgAiwJAByoBDGcjPM5re2rv9ujkkpN3brpqb3Zmenu13u3u+9navrq52hujs7OwdPK/JPwzxTqEePffRQ52fcH3Zp9NeX6V1CFDQe/KtAC/rLGgvSB/RWzA7qRfADN4F+ZtOCbkCnmPSV1Jvh0Ny7ks9enzhWf4hfe57pt0uF0bAKQ1fkB91CchgvaV+QfqNdEz6hfJes4dnNIQur3nYA/InbQ/dCiDMhzB/JT3k2jcxSPA9h+klaVIAqji6icVL8oYndrnwexq8osFa4NnJxMl4KICN8NQAECZdV5O10UwgABbnZBckPWyJGgBSK1PDVJdabeeNBnUKmIa3ipYApNI4ppk6+sxUQwBsnMYZ0pY8cwlAKp+RzmGezCiKPjdJGpZWWMXCCkAKnYJonrP1dUMeiwnHiUQVgNz9TboEyHnkvcam8Zs9UxD11ER1AE8oCYRz9Zy1IODS9hAw9dadBGB2X/3a+d9M/Qj8m6s1uGsAyf/MhbMFZiC6suzGDrK/y/MgMzqAGP+cLBYRbTRprde1sPSZMuPoJ/JXqWR6P/+hkphVAKq8hcUESK2L7GJBd9CAZxcEDcA1v1a1LmkgyYUf0FDrMRVb37q93Se+rG99BykNBoXP6ObCDrJOdOEQkAoLBY2OHaW1tOQ1XLvySq5YqEh467GjcAC4FRZYCFQXe2B1JIAHmSsKuxrN5RmBbMXeHQig8U/StGcqQ2BfAH/NbRZlbbeeW4NbssCtR6QQAA1u31E4xcCaX68lB/7hA+UsCd7dtYSuwYQsQ85HUoSeNVql813nbjdNB7ESKRZ8k6CUdE6/us7Dkja3yWsMTLEvv9nb7GuKshcC6BuVYjpzfXeLvxN5WeJ1KYDfMlYlMWVjeDN438l7T/w37uDnNryoW+BP6RrgtHgn7ft3ZYn0+47k3qe78JI7SJa5tFuXNLiFg0jM/zZyYTo9REacVLmrozw/Cekc9ag7Iv0B350Qff/QDhLtw1uTC8cSTiCKCEG28cT+WU6OjgLnGz0ZEPYIHq1xjBRYfdtDibCUTaYGHsL/VUcAeVqjwLjP1krw+AYj9rby3PPCADDFQJ9VK4wd5ZJn18ocEMKko61HA8a46CjKI39K3Zh3q0OvL3tZI60wCkPJdXKB8vvBLldcBTbJhH/sn448UhH0qCzQEal4VESAn8C2fT94nDuI8ODtlEjPSwdwYYGxwzoU+AdBAFDB05pjZB5sMyYG9FM3PSsdAScAKdRSdMM43uRyY3LweIPMMce4PuXDyM5lCgv02gPjqPS+mADNz2E/kFefPhQLuf8NPA827qfpXx3AdL5LxUYg0i59cDNx8Hy9LgA0lEQVgCieRlRKi2fptFWoq4vK8riuvh+57mr8v+gUX2VVs4gKwKyeE+NTGFunH20QwOug4apiddAQ1EVbmxGXqePS95ONr/QB4jtMDgKrgDT0hueQQkejNKTXGFxX+7+RtilOjW08l+hiaFNXPS2Wv0uDSGgjcM9hWscKjZuCqGnXk9bnqD4lCuurwFO5hgVaCHju1TmaDlqh/FMncAjra/wHZjUGBhZuEBgLta6Zev542AogwDmx9lvpzh2VbUEVLMRAb0wT51W9WwGUiQauJJwwNv5csipkqvfobix3OtY5tesEUFByQ0fTmP9MFauGXujs9Mwt/8eNylpBL4DyIcili7suG61Qan2N5hJdnYG8JT3munc28T+aH6SBJZnxuAAAAABJRU5ErkJggg==\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( \\\\frac{1}{2}, \\\\  -1\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(1/2, -1)\"\n      ]\n     },\n     \"execution_count\": 171,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"p, q\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Sums and products\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 172,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"n = sympy.symbols(\\\"n\\\", integer=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 173,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = sympy.Sum(1/(n**2), (n, 1, oo))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 174,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAADsAAAA6CAYAAAAOeSEWAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAFd0lEQVRoBe2a7XHUMBCGA0MBQAmhAz4qADogpAKgAxj+5V8GOgAqgNABUAEfHUAHhHQQnsdojew727qL784e2Jk92fpY7auVVivrLp2fn++V0NHR0WPqXYW/8fwxb8O7+Q9T+Ufev+XlU3m+NAQ2AXmDwm+T0s9TepeyM/gB74fwsSDhezzvk75O9SaTlIB9iuIvc415/yAg+AV8i/cnrXIHQOA/8vxdP18uUOCsXQcQ98kz/xX8rF3Ou9P85pL8nWaVgO1SUKvJn5ZU0OqTsqo6lkxjp+QPrFk7HZ616An8Bf5qOXxAvmtYZ/WCtDG1yRud6MPZox4upYUZ2O5wEKwNEKQnvgELRHpFXgWe1DydloNihwJ/RP5g59RbmVJ/OsxT+DYs4Gsl/RWBRdgkCYBPUUwnWQT2Imt2kgPQp9R/sH2jM+ey/5ads/X6dP+nLHslRgI3bnCw6RDvGf004uzofxtpDZbOjmGjkSCjkjpqisy+lPoGGNfhfdiBuwN7CjJfMvjYPVgUfS+jjJGQJHCjpmKivVGTbBRVn3nJNwLzwODR70Hqh9ftUmPNosQB3UcAr2K5pdfWDDmvYQfOM+7GY+YuRRfCRZRy+rl+g56obLxcNEWWhwgPCjGoK4ukrUZwaRgbmyrLJfeZss5lsgCWBns0iJjTV+kGeWsr90fE319kPYZHG8C/kvufloK1Ccr4NULnInnEW2n9/mk2rd/Gmm2p5vrV2UiuX6ffrKkTLOAEKuAgp1546sibVdoJVhSAc/vIF/wb8nQIs6ResCICnPtjBBcCXfbNyaqTp0GwCcFd0li/NxkAvw7Mjjq9cRsJAF2veZCxcjjZlrnt91LLOp0NJfO98RN5s1q/xZYNKwDwO8/76X0jpxj6KLuACqUK03XAClTAsws0iqdxNniuXZ2VVyCzopUsy/QyfDSMnJ1z0ir54d33TgKopyGBes0R+25n/W0XoJPO0o8DUviUxs1EEdgkyGBCh6RXniI17pfQ01jeo2p9gCldswJ9h4A8dJwaYGP3OKWpm4GPBxhnZEWDYKns1D0l3dkXhqTrUKJ+3ip2Ui9YADoVnP/56adTWGkBckc/PSHTTz8R0qqK4BtXrZ1gaehHMv8Ucr8lhKz1KcldX0BBS/pw6jqgt/LqS7ceKm9ki0GuCnhMvJYrMeYzsp2JzsjqcjyXveCNU+VRtxhkui3oMJwteXyd69J4po0DbuCi8vG/DafmT/gOvPBxLemuV64CHlIt7L8Bqu9nDbBkqpTu+sJbDLJU0s4O4XyNOuol5PJRDwfeNh98tyGpev4i9Vt3BYQ0LGqb8MAOTgzUQlDhFqOgQxqo5Cpku+uwaRc1HEZXpaSsIKXb8Bfy8m3PfqS8L43ku2lNtBNwRbVlyXT0YkQiTdVGS0oP/dWgoJPKy+12TvE9yutIjudBP5CDdQTqUVDYrgjFz1LfAaq+Skn5rsl23qC6lwdr7LaCS6m2XqaKPqD6asLAaPkimjpYLduwIOAqZ0caXv15EVIqTRYsYPSuWu1tC4zbTmVt6riVlXr36YIFhGCXeW/BGasL1LT4DmppBIWQUQmFtJChpzeCjRBu1I4GhNXeeKDe2sWAcxurvCppsTNZu8OehtsA6/ryv8d5FNWj0uaKKrAo4vx3ehl9eCYMS3gvO4m9F50uTLll3bdkY8sqNCM1/qxvyXnWOeg4huiEurE1DNXdWvkVlFL5d3B4t1xJ19hpaEPdWVtZsHFqcP+q9yzyncoej84C7NzTfBoL7jgD5KeYysoA9uZOJzPvaSw4QFTRioAysIJ3X9SLhvXnPY0TOMG2vwdrRU8X3wHcLkvNhpM0kA6Sgxf/zVBmfj4dFjRCjd8luQzwrRvzFAAAAABJRU5ErkJggg==\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\sum_{n=1}^{\\\\infty} \\\\frac{1}{n^{2}}$\"\n      ],\n      \"text/plain\": [\n       \"  ∞     \\n\",\n       \" ____   \\n\",\n       \" ╲      \\n\",\n       \"  ╲   1 \\n\",\n       \"   ╲  ──\\n\",\n       \"   ╱   2\\n\",\n       \"  ╱   n \\n\",\n       \" ╱      \\n\",\n       \" ‾‾‾‾   \\n\",\n       \"n = 1   \"\n      ]\n     },\n     \"execution_count\": 174,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 175,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{\\\\pi^{2}}{6}$\"\n      ],\n      \"text/plain\": [\n       \" 2\\n\",\n       \"π \\n\",\n       \"──\\n\",\n       \"6 \"\n      ]\n     },\n     \"execution_count\": 175,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x.doit()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 176,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = sympy.Product(n, (n, 1, 7))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 177,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\prod_{n=1}^{7} n$\"\n      ],\n      \"text/plain\": [\n       \"  7    \\n\",\n       \"─┬─┬─  \\n\",\n       \" │ │  n\\n\",\n       \" │ │   \\n\",\n       \"n = 1  \"\n      ]\n     },\n     \"execution_count\": 177,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 178,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 5040$\"\n      ],\n      \"text/plain\": [\n       \"5040\"\n      ]\n     },\n     \"execution_count\": 178,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x.doit()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 179,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = sympy.Symbol(\\\"x\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 180,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle e^{x} - 1$\"\n      ],\n      \"text/plain\": [\n       \" x    \\n\",\n       \"ℯ  - 1\"\n      ]\n     },\n     \"execution_count\": 180,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.Sum((x)**n/(sympy.factorial(n)), (n, 1, oo)).doit().simplify()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Equations\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 181,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = sympy.symbols(\\\"x\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 182,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[ -3, \\\\  1\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"[-3, 1]\"\n      ]\n     },\n     \"execution_count\": 182,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.solve(x**2 + 2*x - 3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 183,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"a, b, c = sympy.symbols(\\\"a, b, c\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 184,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[ \\\\frac{- b - \\\\sqrt{- 4 a c + b^{2}}}{2 a}, \\\\  \\\\frac{- b + \\\\sqrt{- 4 a c + b^{2}}}{2 a}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡        _____________          _____________⎤\\n\",\n       \"⎢       ╱           2          ╱           2 ⎥\\n\",\n       \"⎢-b - ╲╱  -4⋅a⋅c + b    -b + ╲╱  -4⋅a⋅c + b  ⎥\\n\",\n       \"⎢─────────────────────, ─────────────────────⎥\\n\",\n       \"⎣         2⋅a                    2⋅a         ⎦\"\n      ]\n     },\n     \"execution_count\": 184,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.solve(a * x**2 + b * x + c, x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 185,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[ \\\\frac{\\\\pi}{4}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡π⎤\\n\",\n       \"⎢─⎥\\n\",\n       \"⎣4⎦\"\n      ]\n     },\n     \"execution_count\": 185,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.solve(sympy.sin(x) - sympy.cos(x), x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 186,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[ - W\\\\left(\\\\frac{1}{2}\\\\right)\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"[-W(1/2)]\"\n      ]\n     },\n     \"execution_count\": 186,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.solve(sympy.exp(x) + 2 * x, x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 187,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[ \\\\operatorname{CRootOf} {\\\\left(x^{5} - x^{2} + 1, 0\\\\right)}, \\\\  \\\\operatorname{CRootOf} {\\\\left(x^{5} - x^{2} + 1, 1\\\\right)}, \\\\  \\\\operatorname{CRootOf} {\\\\left(x^{5} - x^{2} + 1, 2\\\\right)}, \\\\  \\\\operatorname{CRootOf} {\\\\left(x^{5} - x^{2} + 1, 3\\\\right)}, \\\\  \\\\operatorname{CRootOf} {\\\\left(x^{5} - x^{2} + 1, 4\\\\right)}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡       ⎛ 5    2       ⎞         ⎛ 5    2       ⎞         ⎛ 5    2       ⎞         ⎛ 5    2       ⎞         ⎛ 5    2       ⎞⎤\\n\",\n       \"⎣CRootOf⎝x  - x  + 1, 0⎠, CRootOf⎝x  - x  + 1, 1⎠, CRootOf⎝x  - x  + 1, 2⎠, CRootOf⎝x  - x  + 1, 3⎠, CRootOf⎝x  - x  + 1, 4⎠⎦\"\n      ]\n     },\n     \"execution_count\": 187,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.solve(x**5 - x**2 + 1, x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 188,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAAgAAAAOCAYAAAASVl2WAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAXUlEQVQYGWP8//8/Aww0NDQYAdmrgdgYyP4AEmcBMgSA9GwgfgfEJkCsBMRwAFIAUhkKEgGyy4AUyBQ4YIKzcDBGFUAChmA4MIIiCxjEoAgCxQkoLkD0PSA+B8SnAeDgGGsGGU5UAAAAAElFTkSuQmCC\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 1$\"\n      ],\n      \"text/plain\": [\n       \"1\"\n      ]\n     },\n     \"execution_count\": 188,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"1 #s.solve(s.tan(x) - x, x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 189,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"eq1 = x + 2 * y - 1\\n\",\n    \"eq2 = x - y + 1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 190,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[ \\\\left\\\\{ x : - \\\\frac{1}{3}, \\\\  y : \\\\frac{2}{3}\\\\right\\\\}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"[{x: -1/3, y: 2/3}]\"\n      ]\n     },\n     \"execution_count\": 190,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.solve([eq1, eq2], [x, y], dict=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 191,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"eq1 = x**2 - y\\n\",\n    \"eq2 = y**2 - x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 192,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"sols = sympy.solve([eq1, eq2], [x, y], dict=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 193,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[ \\\\left\\\\{ x : 0, \\\\  y : 0\\\\right\\\\}, \\\\  \\\\left\\\\{ x : 1, \\\\  y : 1\\\\right\\\\}, \\\\  \\\\left\\\\{ x : \\\\left(- \\\\frac{1}{2} - \\\\frac{\\\\sqrt{3} i}{2}\\\\right)^{2}, \\\\  y : - \\\\frac{1}{2} - \\\\frac{\\\\sqrt{3} i}{2}\\\\right\\\\}, \\\\  \\\\left\\\\{ x : \\\\left(- \\\\frac{1}{2} + \\\\frac{\\\\sqrt{3} i}{2}\\\\right)^{2}, \\\\  y : - \\\\frac{1}{2} + \\\\frac{\\\\sqrt{3} i}{2}\\\\right\\\\}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡                            ⎧               2               ⎫  ⎧               2               ⎫⎤\\n\",\n       \"⎢                            ⎪   ⎛  1   √3⋅ⅈ⎞        1   √3⋅ⅈ⎪  ⎪   ⎛  1   √3⋅ⅈ⎞        1   √3⋅ⅈ⎪⎥\\n\",\n       \"⎢{x: 0, y: 0}, {x: 1, y: 1}, ⎨x: ⎜- ─ - ────⎟ , y: - ─ - ────⎬, ⎨x: ⎜- ─ + ────⎟ , y: - ─ + ────⎬⎥\\n\",\n       \"⎢                            ⎪   ⎝  2    2  ⎠        2    2  ⎪  ⎪   ⎝  2    2  ⎠        2    2  ⎪⎥\\n\",\n       \"⎣                            ⎩                               ⎭  ⎩                               ⎭⎦\"\n      ]\n     },\n     \"execution_count\": 193,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sols\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 194,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[True, True, True, True]\"\n      ]\n     },\n     \"execution_count\": 194,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"[eq1.subs(sol).simplify() == 0 and eq2.subs(sol).simplify() == 0 for sol in sols]\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Linear algebra\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 195,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAABYAAAAzCAYAAACT1fi+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAB0klEQVRYCe2Y31HDMAyHW44BeowQNmhhA9iAjgDdgD4mr2UDYISu0A24sgGMQBmB72cSn0n8L8flzbpzrarSZ1W2Rei8ruvFzCNN03x7zAMTft74MzyPjFNv7AaEsGHfixVrPyfjD5QNKx/CsfmfwHnAe62MJ5HzXCqZLPHV116hJ+sfBQPQxrwyvhhXjIqRJSmwMluLxCKPTMo6SyarcQHb+pdSlFLYClgleqXlxVVW41HPUK+QHLG9M78xPxmL5yUHbHqFJzZqKufYlqeUopTCVsAqk52KnCtdkca2TUX9Qs8Y27ZftObhFAUTLOiO2fYLdD0wqhHdMoLPe6lSCHLv5gNM2etBRl0vKCnwDZEnYGqbrijTBXZ9I6+kwAJ8AlCGPukvaH1SNba1tRG/inmGY0E1fK+kMh4EARNUJehOysBHhtFgYrRpLywQ/LM0GgzsmaAD80bBMcnOGJj+t5jlQOWXBQZ2h++lC0WvNATxSRJMsDbrmrm/WVpM19srqeOmjLRZqqvq28kFyhJbcAOjYIIFFdzUl9mV4BmWUxRMRiuXNEZP1ngMzPUtYFuNyUrRnQrdoj+9lfehHmyzktKPw2Q4XcY6/O6PIf/5IcTE/gDr3YUolS5bFgAAAABJRU5ErkJggg==\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}1\\\\\\\\2\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡1⎤\\n\",\n       \"⎢ ⎥\\n\",\n       \"⎣2⎦\"\n      ]\n     },\n     \"execution_count\": 195,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.Matrix([1,2])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 196,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAADMAAAAZCAYAAACclhZ6AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABtElEQVRYCe2Y7U3DMBCGU8QAFSOUDVrYADagIwAbkJ/J37IBMAFihW5QwQZ0BOgIPK8VR1ZspwofloNqyfjiz3vsu7PLpKqql6Io5mSbLuu63tqPXEt0vEO3W0e/cgLMKw0Lp3J0IvrfSOmj0Wneo/BxT1vbBLnMUOa4QN61DX8osM6M6ctmiTPKD31T/9bUeUUUhkFTej+RNYkm0+RJUgOyolzaBZFXyHIJ+fTa1rtl1MwYsCMvyXKyZ3dQAlmKX7vroIdOSVYhCwmmKEywd7rKC5b6BEDW4SadyJT6oJXkCiOltygd888upAGO+oy7HallIFpf6axt7kPag0Eg15PpMBQFAAKRedkI5/UZDQyay/Efgbr3KJqKUcAA8IC+a0r3+eIxZQ8DgHmq7AMRWdYwAFyh46kLgjxT9o4lZxgUlsOfU3YdXoB6lXgp19CsnZfDy0/kLzadIMypCwaBXhgGaUJdUHqbKeltpBi/iU1oev38j9YVkPGXznTBO0Z99sHELq/O/L/7yUZ96/dV1gFg6BYdYIbuWKr+h5NJtdND1/lXJ2NCM6Hw3dmFMf7fTJdp+QXdsHfRU+TrRQAAAABJRU5ErkJggg==\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}1 & 2\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"[1  2]\"\n      ]\n     },\n     \"execution_count\": 196,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.Matrix([[1,2]])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 197,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}1 & 2\\\\\\\\3 & 4\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡1  2⎤\\n\",\n       \"⎢    ⎥\\n\",\n       \"⎣3  4⎦\"\n      ]\n     },\n     \"execution_count\": 197,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.Matrix([[1, 2], [3, 4]])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 198,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}0 & 1 & 2 & 3\\\\\\\\10 & 11 & 12 & 13\\\\\\\\20 & 21 & 22 & 23\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡0   1   2   3 ⎤\\n\",\n       \"⎢              ⎥\\n\",\n       \"⎢10  11  12  13⎥\\n\",\n       \"⎢              ⎥\\n\",\n       \"⎣20  21  22  23⎦\"\n      ]\n     },\n     \"execution_count\": 198,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.Matrix(3, 4, lambda m,n: 10 * m + n)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 199,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"a, b, c, d = sympy.symbols(\\\"a, b, c, d\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 200,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"M = sympy.Matrix([[a, b], [c, d]])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 201,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}a & b\\\\\\\\c & d\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡a  b⎤\\n\",\n       \"⎢    ⎥\\n\",\n       \"⎣c  d⎦\"\n      ]\n     },\n     \"execution_count\": 201,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"M\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 202,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAKMAAAAzCAYAAAD7CrjDAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAIPklEQVR4Ae2c7XUVNxCGLz4UQEgHpoOQVIDpwKQDTAdw+GX+cUgH4ArAdIA7gNBB6ABwB8n77JV0tF9a7a60V3Y05+hKGmlHM69mJa3uau+cn5/f2w3Qq1evrgfYlVURWI2AfGvQ5+5K8t8Kx50W3in/rMObzJpGXpqKVubT6tiT0P3fKlzK4JOO0Vc4I/RYDnO1T676fSM5zomVfitpOPuDVVLrxbcKAfnFY98g5c+Uf3LkMxOkzyTY9/g3knks3m8JZFcRtxwBOzKmMpNR8UsqYUvlyPlZkzAV/K7wQ/kbOzKXYssaPXQtg9GFAku3D8q72VN5R0mdUY2w1vSJRr+J/9Vn5k6rPR6+WHqwRDj4zbHG3lJsWaOHrqX/Hyr+V/GnMTxST9OuHTXM3XCq8NAxZyYk40SB9cRSQodR45cKPdB1q21JgCemL9KDtg1uo88mWZxRDTMcs17kblizRcR0S5hNMcbPFnqgCxLashhPTF+pBw8tzJKj/pB0mjYKN46oRpsnJsXcSdeKv1G+IU0av6Eua5sqxZY1ejAyjo6KABTtjHImnOyFAp79XeGjwqn4fyluyNRhO+eF0jghxLqR67YmjP8qPZ6bhnmI+aQ8erdIPEZxbIJ+VXgvXvZ1rtqYxLTRaL8nF2WLqZ8risJ0wC6cEH94HVLsKFRoyyQcJXgYYB8RR8MBcTry/jRKHVuXNOFMdUaHZpUnJ6MTxtPZ74y+3BCXSsNriLTCP8p8pg5BaezBObOS2rI4BTFVPfSZtCWrshIeq8eIXRbPdSOjUYJtEpzQn2pJt9YAKv8lNyiR8ulo6JF0am4EYgV4PFTZ0ZyHm4/i+6Pln+IF72CVryK1h4NFYap6sbas0ini4kk9JuxiZG/6Yqytu2MFHh+vBrwPHo8kyvmd2CmOz0pJRllrrH/hfTIqZ6rvEsY96TJNnrVNy3jVxQaIaRiZtMko2XI88be4oeZgOmkL9vhkbEuJJ+Jj9Jhjl69yk45xRkaKKxnovFppOpaOTLJtInlDzrYTn1GMqdSOZMpGEZvdXzo14UGf99GuZ5fhbxH12paNY5jG2NLSWbJS44n8GD3m2NXSmcxRj+MxDECA1F3M0+hO5cE1gCdq6yRrLNarPtlRlBsLm4bs8utnSQfaHsM0aEsWJYeFBvVYYFevlaAzerXtaGJZdGzjoFKCJ2pGydLIrW8NUHT2M6VZO14bZXl46ZHKh6a4Xr2VjDmYjtqyUoe5l8foMceuVvtBZzSdhtM5ZxOPf0TI22nwD/Gcki3ph8uwlnU6K32pwH+i/t+VpHv/DqkO654fCllI8rkR5mAaY0sWXTtCg3ossKsjPm6f8ZGuulBjzxU3e3CKWcyyJQHvvUJp9FQKWf3YX3wrXQHTkfKMktTB+b67Aj3QiGdHTo+dNDkH00lbkmo2LixGjzl29Vq6oze9maromOLWf9LpVLoteYDpGVoZzRq/SDzVz1neZ0zd54xQuUep1DqXLK9oPGO2dg4Gbomj9cHASNBw6XgGH2AS2F9FVASiEajOGA1VrZgbgeqMuRGu8qMRqM4YDVWtmBuB6oy5Ea7yoxEo+mk62opasRgE9MR+T8q8NAodmzjqQw7VGYvpxlujCP9qubeGlOZVPV5a4Z+wINVpOghPLVyAwJkc0H/RhL9boz7kUEdGD22ByGtSF4CnMHrY3LtkcVJtMZ3xAgfvCf5QfnLkWNxYpgtH8GJU/LKkyeqMHmoCl7dpJg+be5csTqot/pq70R8aGMJLPP/NKPDBOaM+5FDsNC2jThTWHOAHiNlEu+airV4cYTRO8sZ8yNhceIbwUhm28XJG71W9IV2LdUYpyzRG2Jp4Pa510CyXAqGOzNBmLjwH8ZJtLHVYL0Z/yKFO0/1eZ2TcalQc7Mi+SkVzenhZR1SMfTvFjJCTH3KIckYjPHiA34dL9f0XVpsXcsVjPbYpTekxYBdOCHCvN1KUjuQUIy8pQzzEFPWhgUYr8xODl6nDds7sDzlMOqOEAxhPfQy3zfECxaxxWNNxQJ6FeENKMzRThiLNm9WKUQznbO4SxdkpRg/VGbML/bKPjGqfaRPHh5pNYcP7qfiBgsW6FExj8WJPEdtaB+Jkj9t7xOAhCjqjAQdHnDzAb4TjiJsfih8wLKjHhF2t89YDslOx6FyoyA8N7FXb/87BS3UXnzsPOqNUYUTDyycP8EsJRkDu4tYUN6Wcuc52jC53dJ+UyofuKBzGHj11F5j6MXpE29USnjbDTNFyfNkE1hBLG2yPsYWqjsw1yfA0gjfBa8oZOd4Ze4C/V9chFEgIvCFnoyOWnteI0aNXR+3hCHZKDGicrIjN7u7mMDzo8z6a/6GBDHiiyiZ4HRmje5HpHDqo++CBYjuVu3VVoG5Pbk5GjB6BOj27cuoq2awXW+sq5e1of9APDfh2b4nXqDN6Ctm71LJ6B/il8LUpPOSh+N1MPSbtsgZnjN15c9Pp3BAlfWjANz07XqPOaDp2zmHzgxyK99Ey6aAeC+waaCIJi90GlgWWLpUo4kMDViHiLfEKnpuWIkzTFwrcFfYAP6MgC1p4TCduGlcaPvR9HzW/re0fjx9MStbSNeNuSg+Vz7IrqOjCQqMDeDGbTO0v0soqTNXeGjyz4iXdmnPTQWcEgUPRGvAOpXPJ7ZaMp3XG0Wm6AGAZgQmV0iBQPJ5TWztpYFggRXeLe1pfcHm9pIPATcCz5JGxA2fN3nYEqjPe9h6+QfZVZ7xBnXXbVbVrRg7M8PjuSPn68ODQqImUCHR9TbIb37MjI3/I//SC3S9MqUOVVRGwCLDB3/O3/wAccVYEJc5dRAAAAABJRU5ErkJggg==\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}a^{2} + b c & a b + b d\\\\\\\\a c + c d & b c + d^{2}\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡ 2                  ⎤\\n\",\n       \"⎢a  + b⋅c   a⋅b + b⋅d⎥\\n\",\n       \"⎢                    ⎥\\n\",\n       \"⎢                  2 ⎥\\n\",\n       \"⎣a⋅c + c⋅d  b⋅c + d  ⎦\"\n      ]\n     },\n     \"execution_count\": 202,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"M * M\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 203,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = sympy.Matrix(sympy.symbols(\\\"x_1, x_2\\\"))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 204,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}a x_{1} + b x_{2}\\\\\\\\c x_{1} + d x_{2}\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡a⋅x₁ + b⋅x₂⎤\\n\",\n       \"⎢           ⎥\\n\",\n       \"⎣c⋅x₁ + d⋅x₂⎦\"\n      ]\n     },\n     \"execution_count\": 204,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"M * x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 205,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"p, q = sympy.symbols(\\\"p, q\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 206,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"M = sympy.Matrix([[1, p], [q, 1]])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 207,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}1 & p\\\\\\\\q & 1\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡1  p⎤\\n\",\n       \"⎢    ⎥\\n\",\n       \"⎣q  1⎦\"\n      ]\n     },\n     \"execution_count\": 207,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"M\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 208,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"b = sympy.Matrix(sympy.symbols(\\\"b_1, b_2\\\"))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 209,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}b_{1}\\\\\\\\b_{2}\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡b₁⎤\\n\",\n       \"⎢  ⎥\\n\",\n       \"⎣b₂⎦\"\n      ]\n     },\n     \"execution_count\": 209,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"b\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 210,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}\\\\frac{- b_{1} + b_{2} p}{p q - 1}\\\\\\\\\\\\frac{b_{1} q - b_{2}}{p q - 1}\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡-b₁ + b₂⋅p⎤\\n\",\n       \"⎢──────────⎥\\n\",\n       \"⎢ p⋅q - 1  ⎥\\n\",\n       \"⎢          ⎥\\n\",\n       \"⎢b₁⋅q - b₂ ⎥\\n\",\n       \"⎢───────── ⎥\\n\",\n       \"⎣ p⋅q - 1  ⎦\"\n      ]\n     },\n     \"execution_count\": 210,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x = M.solve(b)\\n\",\n    \"x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 211,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = M.LUsolve(b)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 212,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}b_{1} - \\\\frac{p \\\\left(- b_{1} q + b_{2}\\\\right)}{- p q + 1}\\\\\\\\\\\\frac{- b_{1} q + b_{2}}{- p q + 1}\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡     p⋅(-b₁⋅q + b₂)⎤\\n\",\n       \"⎢b₁ - ──────────────⎥\\n\",\n       \"⎢        -p⋅q + 1   ⎥\\n\",\n       \"⎢                   ⎥\\n\",\n       \"⎢    -b₁⋅q + b₂     ⎥\\n\",\n       \"⎢    ──────────     ⎥\\n\",\n       \"⎣     -p⋅q + 1      ⎦\"\n      ]\n     },\n     \"execution_count\": 212,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 213,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = M.inv() * b\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 214,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}\\\\frac{b_{1}}{- p q + 1} - \\\\frac{b_{2} p}{- p q + 1}\\\\\\\\- \\\\frac{b_{1} q}{- p q + 1} + \\\\frac{b_{2}}{- p q + 1}\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡    b₁        b₂⋅p   ⎤\\n\",\n       \"⎢ ──────── - ──────── ⎥\\n\",\n       \"⎢ -p⋅q + 1   -p⋅q + 1 ⎥\\n\",\n       \"⎢                     ⎥\\n\",\n       \"⎢    b₁⋅q        b₂   ⎥\\n\",\n       \"⎢- ──────── + ────────⎥\\n\",\n       \"⎣  -p⋅q + 1   -p⋅q + 1⎦\"\n      ]\n     },\n     \"execution_count\": 214,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Versions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 215,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/json\": {\n       \"Software versions\": [\n        {\n         \"module\": \"Python\",\n         \"version\": \"3.10.12 64bit [Clang 14.0.6 ]\"\n        },\n        {\n         \"module\": \"IPython\",\n         \"version\": \"8.12.0\"\n        },\n        {\n         \"module\": \"OS\",\n         \"version\": \"macOS 10.15.7 x86_64 i386 64bit\"\n        },\n        {\n         \"module\": \"sympy\",\n         \"version\": \"1.11.1\"\n        },\n        {\n         \"module\": \"numpy\",\n         \"version\": \"1.22.3\"\n        }\n       ]\n      },\n      \"text/html\": [\n       \"<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.10.12 64bit [Clang 14.0.6 ]</td></tr><tr><td>IPython</td><td>8.12.0</td></tr><tr><td>OS</td><td>macOS 10.15.7 x86\\\\_64 i386 64bit</td></tr><tr><td>sympy</td><td>1.11.1</td></tr><tr><td>numpy</td><td>1.22.3</td></tr><tr><td colspan='2'>Sat Nov 02 18:08:14 2024 JST</td></tr></table>\"\n      ],\n      \"text/latex\": [\n       \"\\\\begin{tabular}{|l|l|}\\\\hline\\n\",\n       \"{\\\\bf Software} & {\\\\bf Version} \\\\\\\\ \\\\hline\\\\hline\\n\",\n       \"Python & 3.10.12 64bit [Clang 14.0.6 ] \\\\\\\\ \\\\hline\\n\",\n       \"IPython & 8.12.0 \\\\\\\\ \\\\hline\\n\",\n       \"OS & macOS 10.15.7 x86\\\\_64 i386 64bit \\\\\\\\ \\\\hline\\n\",\n       \"sympy & 1.11.1 \\\\\\\\ \\\\hline\\n\",\n       \"numpy & 1.22.3 \\\\\\\\ \\\\hline\\n\",\n       \"\\\\hline \\\\multicolumn{2}{|l|}{Sat Nov 02 18:08:14 2024 JST} \\\\\\\\ \\\\hline\\n\",\n       \"\\\\end{tabular}\\n\"\n      ],\n      \"text/plain\": [\n       \"Software versions\\n\",\n       \"Python 3.10.12 64bit [Clang 14.0.6 ]\\n\",\n       \"IPython 8.12.0\\n\",\n       \"OS macOS 10.15.7 x86_64 i386 64bit\\n\",\n       \"sympy 1.11.1\\n\",\n       \"numpy 1.22.3\\n\",\n       \"Sat Nov 02 18:08:14 2024 JST\"\n      ]\n     },\n     \"execution_count\": 215,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%reload_ext version_information\\n\",\n    \"%version_information sympy, numpy\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": []\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3 (ipykernel)\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "ch04-code-listing.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Chapter 4: Plotting and visualization\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%matplotlib inline\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"# %config InlineBackend.figure_format='retina'\\n\",\n    \"# %config InlineBackend.figure_format='svg'\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import matplotlib as mpl\\n\",\n    \"import matplotlib.pyplot as plt\\n\",\n    \"#mpl.rcParams['mathtext.fontset'] = 'stix'\\n\",\n    \"#mpl.rcParams['font.family'] = 'serif'\\n\",\n    \"#mpl.rcParams['font.sans-serif'] = 'stix'\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Gettings started\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.linspace(-5, 2, 100)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y1 = x**3 + 5*x**2 + 10\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y2 = 3*x**2 + 10*x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y3 = 6*x + 10\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<matplotlib.legend.Legend at 0x7f829047e830>\"\n      ]\n     },\n     \"execution_count\": 9,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots()\\n\",\n    \"\\n\",\n    \"ax.plot(x, y1, color=\\\"blue\\\", label=\\\"y(x)\\\")\\n\",\n    \"ax.plot(x, y2, color=\\\"red\\\", label=\\\"y'(x)\\\")\\n\",\n    \"ax.plot(x, y3, color=\\\"green\\\", label=\\\"y''(x)\\\")\\n\",\n    \"\\n\",\n    \"ax.set_xlabel(\\\"x\\\")\\n\",\n    \"ax.set_ylabel(\\\"y\\\")\\n\",\n    \"ax.legend()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"fig.savefig(\\\"ch4-figure-1.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"mpl.rcParams[\\\"font.family\\\"] = \\\"serif\\\"\\n\",\n    \"mpl.rcParams[\\\"font.size\\\"] = \\\"12\\\"\\n\",\n    \"\\n\",\n    \"fig, ax = plt.subplots()\\n\",\n    \"\\n\",\n    \"ax.plot(x, y1, lw=1.5, color=\\\"blue\\\", label=r\\\"$y(x)$\\\")\\n\",\n    \"ax.plot(x, y2, lw=1.5, color=\\\"red\\\", label=r\\\"$y'(x)$\\\")\\n\",\n    \"ax.plot(x, y3, lw=1.5, color=\\\"green\\\", label=r\\\"$y''(x)$\\\")\\n\",\n    \"\\n\",\n    \"ax.plot(x, np.zeros_like(x), lw=0.5, color=\\\"black\\\")\\n\",\n    \"ax.plot([-3.33, -3.33], [0, (-3.3)**3 + 5*(-3.3)**2 + 10], ls='--', lw=0.5, color=\\\"black\\\")\\n\",\n    \"ax.plot([0, 0], [0, 10], lw=0.5, ls='--', color=\\\"black\\\")\\n\",\n    \"ax.plot([0], [10], lw=0.5, marker='o', color=\\\"blue\\\")\\n\",\n    \"ax.plot([-3.33], [(-3.3)**3 + 5*(-3.3)**2 + 10], lw=0.5, marker='o', color=\\\"blue\\\")\\n\",\n    \"\\n\",\n    \"ax.set_ylim(-15, 40)\\n\",\n    \"ax.set_yticks([-10, 0, 10, 20, 30])\\n\",\n    \"ax.set_xticks([-4, -2, 0, 2])\\n\",\n    \"\\n\",\n    \"ax.set_xlabel(\\\"$x$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(\\\"$y$\\\", fontsize=18)\\n\",\n    \"ax.legend(loc=0, ncol=3, fontsize=14, frameon=False)\\n\",\n    \"\\n\",\n    \"fig.tight_layout();\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"fig.savefig(\\\"ch4-figure-2.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"mpl.rcParams[\\\"font.family\\\"] = \\\"sans-serif\\\"\\n\",\n    \"mpl.rcParams[\\\"font.size\\\"] = \\\"10\\\"\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Backends\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%matplotlib inline\\n\",\n    \"#%config InlineBackend.figure_format='svg'\\n\",\n    \"%config InlineBackend.figure_format='retina'\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import matplotlib as mpl\\n\",\n    \"#mpl.use('qt4agg')\\n\",\n    \"import matplotlib.pyplot as plt\\n\",\n    \"import numpy as np\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.linspace(-5, 2, 100)\\n\",\n    \"y1 = x**3 + 5*x**2 + 10\\n\",\n    \"y2 = 3*x**2 + 10*x\\n\",\n    \"y3 = 6*x + 10\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 433,\n       \"width\": 574\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots()\\n\",\n    \"\\n\",\n    \"ax.plot(x, y1, color=\\\"blue\\\", label=\\\"y(x)\\\")\\n\",\n    \"ax.plot(x, y2, color=\\\"red\\\", label=\\\"y'(x)\\\")\\n\",\n    \"ax.plot(x, y3, color=\\\"green\\\", label=\\\"y''(x)\\\")\\n\",\n    \"\\n\",\n    \"ax.set_xlabel(\\\"x\\\")\\n\",\n    \"ax.set_ylabel(\\\"y\\\")\\n\",\n    \"ax.legend()\\n\",\n    \"\\n\",\n    \"plt.show()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Figure\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x250 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 263,\n       \"width\": 722\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig = plt.figure(figsize=(8, 2.5), facecolor=\\\"#f1f1f1\\\")\\n\",\n    \"\\n\",\n    \"# axes coordinates as fractions of the canvas width and height\\n\",\n    \"left, bottom, width, height = 0.1, 0.1, 0.8, 0.8\\n\",\n    \"ax = fig.add_axes((left, bottom, width, height), facecolor=\\\"#e1e1e1\\\")\\n\",\n    \"\\n\",\n    \"x = np.linspace(-2, 2, 1000)\\n\",\n    \"y1 = np.cos(40 * x)\\n\",\n    \"y2 = np.exp(-x**2)\\n\",\n    \"\\n\",\n    \"ax.plot(x, y1 * y2)\\n\",\n    \"ax.plot(x, y2, 'g')\\n\",\n    \"ax.plot(x, -y2, 'g')\\n\",\n    \"ax.set_xlabel(\\\"x\\\")\\n\",\n    \"ax.set_ylabel(\\\"y\\\")\\n\",\n    \"\\n\",\n    \"fig.savefig(\\\"ch4-graph.png\\\", dpi=100) # , facecolor=\\\"red\\\")\\n\",\n    \"fig.savefig(\\\"ch4-graph.pdf\\\", dpi=300, facecolor=\\\"#f1f1f1\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Plot types\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"fignum = 0\\n\",\n    \"\\n\",\n    \"def hide_labels(fig, ax):\\n\",\n    \"    global fignum\\n\",\n    \"    ax.set_xticks([])\\n\",\n    \"    ax.set_yticks([])\\n\",\n    \"    ax.xaxis.set_ticks_position('none')\\n\",\n    \"    ax.yaxis.set_ticks_position('none')\\n\",\n    \"    ax.axis('tight')\\n\",\n    \"    \\n\",\n    \"    fignum += 1\\n\",\n    \"    fig.savefig(\\\"ch4-plot-types-%d.pdf\\\" % fignum)\\n\",\n    \"    \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.linspace(-3, 3, 25)\\n\",\n    \"y1 = x**3+ 3 * x**2 + 10\\n\",\n    \"y2 = -1.5 * x**3 + 10*x**2 - 15\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 251,\n       \"width\": 330\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(4, 3))\\n\",\n    \"\\n\",\n    \"ax.plot(x, y1)\\n\",\n    \"ax.plot(x, y2)\\n\",\n    \"\\n\",\n    \"hide_labels(fig, ax)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 251,\n       \"width\": 330\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(4, 3))\\n\",\n    \"\\n\",\n    \"ax.step(x, y1)\\n\",\n    \"ax.step(x, y2)\\n\",\n    \"\\n\",\n    \"hide_labels(fig, ax)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 251,\n       \"width\": 330\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(4, 3))\\n\",\n    \"width = 6/50.0\\n\",\n    \"ax.bar(x - width/2, y1, width=width, color=\\\"blue\\\")\\n\",\n    \"ax.bar(x + width/2, y2, width=width, color=\\\"green\\\")\\n\",\n    \"\\n\",\n    \"hide_labels(fig, ax)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 251,\n       \"width\": 330\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(4, 3))\\n\",\n    \"ax.fill_between(x, y1, y2)\\n\",\n    \"\\n\",\n    \"hide_labels(fig, ax)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 251,\n       \"width\": 330\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(4, 3))\\n\",\n    \"ax.hist(y2, bins=30)\\n\",\n    \"ax.hist(y1, bins=30)\\n\",\n    \"\\n\",\n    \"hide_labels(fig, ax)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 251,\n       \"width\": 330\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(4, 3))\\n\",\n    \"\\n\",\n    \"ax.errorbar(x, y2, yerr=y1, fmt='o-')\\n\",\n    \"\\n\",\n    \"hide_labels(fig, ax)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 251,\n       \"width\": 330\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(4, 3))\\n\",\n    \"\\n\",\n    \"ax.stem(x, y2, 'b', markerfmt='bs')\\n\",\n    \"ax.stem(x, y1, 'r', markerfmt='ro')\\n\",\n    \"\\n\",\n    \"hide_labels(fig, ax)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 251,\n       \"width\": 330\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(4, 3))\\n\",\n    \"\\n\",\n    \"x = np.linspace(0, 5, 50)\\n\",\n    \"\\n\",\n    \"ax.scatter(x, -1 + x + 0.25 * x**2 + 2 * np.random.rand(len(x)))\\n\",\n    \"ax.scatter(x, np.sqrt(x) + 2 * np.random.rand(len(x)), color=\\\"green\\\")\\n\",\n    \"\\n\",\n    \"hide_labels(fig, ax)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 300x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 251,\n       \"width\": 252\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(3, 3))\\n\",\n    \"\\n\",\n    \"colors = ['yellowgreen', 'gold', 'lightskyblue', 'lightcoral']\\n\",\n    \"\\n\",\n    \"x = y = np.linspace(-2, 2, 10)\\n\",\n    \"X, Y = np.meshgrid(x, y)\\n\",\n    \"U = np.sin(X)\\n\",\n    \"V = np.sin(Y)\\n\",\n    \"\\n\",\n    \"ax.quiver(X, Y, U, V)\\n\",\n    \"\\n\",\n    \"hide_labels(fig, ax)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Text formatting and annotation\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 387,\n       \"width\": 702\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"x = np.linspace(-20, 20, 100)\\n\",\n    \"y = np.sin(x) / x\\n\",\n    \"\\n\",\n    \"ax.plot(x, y)\\n\",\n    \"\\n\",\n    \"ax.set_ylabel(\\\"y label\\\")\\n\",\n    \"ax.set_xlabel(\\\"x label\\\")\\n\",\n    \"\\n\",\n    \"for label in ax.get_xticklabels() + ax.get_yticklabels():\\n\",\n    \"    label.set_rotation(45)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 251,\n       \"width\": 950\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(12, 3))\\n\",\n    \"\\n\",\n    \"ax.set_yticks([])\\n\",\n    \"ax.set_xticks([])\\n\",\n    \"ax.set_xlim(-0.5, 3.5)\\n\",\n    \"ax.set_ylim(-0.05, 0.25)\\n\",\n    \"ax.axhline(0)\\n\",\n    \"\\n\",\n    \"ax.text(0, 0.1, \\\"Text label\\\", fontsize=14, family=\\\"serif\\\")\\n\",\n    \"\\n\",\n    \"ax.plot(1, 0, 'o')\\n\",\n    \"ax.annotate(\\\"Annotation\\\",\\n\",\n    \"            fontsize=14, family=\\\"serif\\\",\\n\",\n    \"            xy=(1, 0), xycoords='data',\\n\",\n    \"            xytext=(+20, +50), textcoords='offset points', \\n\",\n    \"            arrowprops=dict(arrowstyle=\\\"->\\\", connectionstyle=\\\"arc3, rad=.5\\\"))\\n\",\n    \"\\n\",\n    \"ax.text(2, 0.1, r\\\"Equation: $i\\\\hbar\\\\partial_t \\\\Psi = \\\\hat{H}\\\\Psi$\\\", fontsize=14, family=\\\"serif\\\")\\n\",\n    \"\\n\",\n    \"fig.savefig(\\\"ch4-text-annotation.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Axes\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 32,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 6 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 418,\n       \"width\": 558\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(ncols=2, nrows=3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Line properties\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 34,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1600x300 with 4 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 272,\n       \"width\": 1260\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"x = np.linspace(-5, 5, 5)\\n\",\n    \"y = np.ones_like(x)\\n\",\n    \"\\n\",\n    \"def axes_settings(fig, ax, title, ymax):\\n\",\n    \"    ax.set_xticks([])\\n\",\n    \"    ax.set_yticks([])\\n\",\n    \"    ax.set_ylim(0, ymax+1)\\n\",\n    \"    ax.set_title(title)\\n\",\n    \"\\n\",\n    \"fig, axes = plt.subplots(1, 4, figsize=(16,3))\\n\",\n    \"\\n\",\n    \"# Line width\\n\",\n    \"linewidths = [0.5, 1.0, 2.0, 4.0]\\n\",\n    \"for n, linewidth in enumerate(linewidths):\\n\",\n    \"    axes[0].plot(x, y + n, color=\\\"blue\\\", linewidth=linewidth)\\n\",\n    \"axes_settings(fig, axes[0], \\\"linewidth\\\", len(linewidths))\\n\",\n    \"\\n\",\n    \"# Line style\\n\",\n    \"linestyles = ['-', '-.', ':']\\n\",\n    \"for n, linestyle in enumerate(linestyles):\\n\",\n    \"    axes[1].plot(x, y + n, color=\\\"blue\\\", lw=2, linestyle=linestyle)\\n\",\n    \"\\n\",\n    \"# custom dash style\\n\",\n    \"line, = axes[1].plot(x, y + 3, color=\\\"blue\\\", lw=2)\\n\",\n    \"length1, gap1, length2, gap2 = 10, 7, 20, 7\\n\",\n    \"line.set_dashes([length1, gap1, length2, gap2])\\n\",\n    \"axes_settings(fig, axes[1], \\\"linetypes\\\", len(linestyles) + 1)\\n\",\n    \"\\n\",\n    \"# marker types\\n\",\n    \"markers = ['+', 'o', '*', 's', '.', '1', '2', '3', '4']\\n\",\n    \"for n, marker in enumerate(markers):\\n\",\n    \"    # lw = shorthand for linewidth, ls = shorthand for linestyle\\n\",\n    \"    axes[2].plot(x, y + n, color=\\\"blue\\\", lw=2, ls='None', marker=marker)\\n\",\n    \"axes_settings(fig, axes[2], \\\"markers\\\", len(markers))\\n\",\n    \"    \\n\",\n    \"    \\n\",\n    \"# marker size and color\\n\",\n    \"markersizecolors = [(4, \\\"white\\\"), (8, \\\"red\\\"), (12, \\\"yellow\\\"), (16, \\\"lightgreen\\\")]\\n\",\n    \"for n, (markersize, markerfacecolor) in enumerate (markersizecolors):\\n\",\n    \"    axes[3].plot(x, y + n, color=\\\"blue\\\", lw=1, ls='-',\\n\",\n    \"                 marker='o', markersize=markersize,\\n\",\n    \"                 markerfacecolor=markerfacecolor, markeredgewidth=2)\\n\",\n    \"    \\n\",\n    \"axes_settings(fig, axes[3], \\\"marker size/color\\\", len (markersizecolors))\\n\",\n    \"\\n\",\n    \"fig.savefig(\\\"ch4-line-styles.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 35,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1000x600 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 505,\n       \"width\": 855\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"import sympy as s\\n\",\n    \"import numpy as np\\n\",\n    \"\\n\",\n    \"# a symbolic variable for x, and a numerical array with specific values of x\\n\",\n    \"sym_x = s.Symbol(\\\"x\\\")\\n\",\n    \"x = np.linspace(-2 * np.pi, 2 * np.pi, 100)\\n\",\n    \"\\n\",\n    \"def sin_expansion(x, n):\\n\",\n    \"    \\\"\\\"\\\"\\n\",\n    \"    Evaluate the nth order Talyor series expansion\\n\",\n    \"    of sin(x) for the numerical values in the array x.\\n\",\n    \"    \\\"\\\"\\\"\\n\",\n    \"    return s.lambdify(sym_x, s.sin(sym_x).series(n=n+1).removeO(), 'numpy')(x)\\n\",\n    \"\\n\",\n    \"fig, ax = plt.subplots(figsize=(10, 6))\\n\",\n    \"\\n\",\n    \"ax.plot(x, np.sin(x), linewidth=4, color=\\\"red\\\", label='sin(x)')\\n\",\n    \"\\n\",\n    \"colors = [\\\"blue\\\", \\\"black\\\"]\\n\",\n    \"linestyles = [':', '-.', '--']\\n\",\n    \"for idx, n in enumerate(range(1, 12, 2)):\\n\",\n    \"    ax.plot(x, sin_expansion(x, n), color=colors[idx // 3],\\n\",\n    \"            linestyle=linestyles[idx % 3], linewidth=3,\\n\",\n    \"            label=\\\"O(%d) approx.\\\" % (n+1))\\n\",\n    \"    \\n\",\n    \"ax.set_ylim(-1.1, 1.1)\\n\",\n    \"ax.set_xlim(-1.5*np.pi, 1.5*np.pi)\\n\",\n    \"ax.legend(bbox_to_anchor=(1.02, 1), loc=2, borderaxespad=0.0)\\n\",\n    \"fig.subplots_adjust(right=.75);\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 36,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"fig.savefig(\\\"ch4-sin-expansion.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 37,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x350 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 315,\n       \"width\": 670\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 2, figsize=(8, 3.5), sharey=True)\\n\",\n    \"\\n\",\n    \"data1 = np.random.randn(200, 2) * np.array([3, 1])\\n\",\n    \"area1 = (np.random.randn(200) + 0.5) * 100\\n\",\n    \"\\n\",\n    \"data2 = np.random.randn(200, 2) * np.array([1, 3])\\n\",\n    \"area2 = (np.random.randn(200) + 0.5) * 100\\n\",\n    \"\\n\",\n    \"axes[0].scatter(data1[:,0], data1[:,1], color=\\\"green\\\", marker=\\\"s\\\", s=30, alpha=0.5)\\n\",\n    \"axes[0].scatter(data2[:,0], data2[:,1], color=\\\"blue\\\", marker=\\\"o\\\", s=30, alpha=0.5)\\n\",\n    \"\\n\",\n    \"axes[1].hist([data1[:,1], data2[:,1]], bins=15, color=[\\\"green\\\", \\\"blue\\\"], alpha=0.5, orientation='horizontal');\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Legends\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 38,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAADGsAAAMNCAYAAACV4BgRAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAB7CAAAewgFu0HU+AAEAAElEQVR4nOzdd3gU5drH8d8mIZ0Qeu9IU2yIoChIE7EhSBFRugcFj+JRUThKURQsqFhAFAlNVFBADxYQpItiQUBRQDqhJYEEEkLazvtHXtYMaZtkk9nJfj/XxeXsvTPP3GGRZ2+euWcchmEYAgAAAAAAAAAAAAAAAAAAAAAAgEf4WZ0AAAAAAAAAAAAAAAAAAAAAAABAaUKzBgAAAAAAAAAAAAAAAAAAAAAAgAfRrAEAAAAAAAAAAAAAAAAAAAAAAOBBNGsAAAAAAAAAAAAAAAAAAAAAAAB4EM0aAAAAAAAAAAAAAAAAAAAAAAAAHkSzBgAAAAAAAAAAAAAAAAAAAAAAgAfRrAEAAAAAAAAAAAAAAAAAAAAAAOBBNGsAAAAAAAAAAAAAAAAAAAAAAAB4EM0aAAAAAAAAAAAAAAAAAAAAAAAAHkSzBgAAAAAAAAAAAAAAAAAAAAAAgAfRrAEAAAAAAAAAAAAAAAAAAAAAAOBBNGsAAAAAAAAAAAAAAAAAAAAAAAB4EM0aAAAAAAAAAAAAAAAAAAAAAAAAHkSzBgAAAAAAAAAAAAAAAAAAAAAAgAfRrAEAAAAAAAAAAAAAAAAAAAAAAOBBNGsAAAAAAAAAAAAAAAAAAAAAAAB4EM0aAAAAAAAAAAAAAAAAAAAAAAAAHkSzBgAAAAAAAAAAAAAAAAAAAAAAgAfRrAEAAAAAAAAAAAAAAAAAAAAAAOBBNGsAwEXq1asnh8Mhh8OhAwcOWJ0OspgzZ47rsxk0aJBbx5w9e1Y1atSQw+FQz549c9xn7dq1rnFvuukmzyUMt+3cuVMBAQFyOBx68cUXrU4HAADAo6gxvBc1RulFjQEAAEor6gvvRX1RelFfAACA0owaw3tRY5Re1BiAb6FZAwBQqj333HM6duyY/P39+XLrYQkJCfruu+/08ssvq3fv3qYC3uFwaM6cOW6P1bx5cw0cOFCS9OKLL+rIkSPFlDUAAABQNNQYxcPpdGrTpk2aOHGibr31VtWrV09hYWEKCgpStWrV1LFjRz3//PM6evSoW+NRYwAAAMAOqC+Kx+7du7Vw4UI99thj6tixoy699FJVqVJFZcqUUWRkpJo2bap7771XixYtUmpqar7jUV8AAADALqgxSl5iYqLq1q1rumZqwoQJeR5DjQH4Fpo1AACl1sGDB/Xmm29Kkvr27aumTZtanFHp0a9fP5UvX16dOnXSU089pU8//VQHDx4s0pj//e9/5e/vr6SkJI0fP95DmQIAAACeQ41RPF577TXVrFlTN9xwgyZMmKCvv/5aBw8e1Llz55SamqoTJ05ozZo1GjdunOrVq6eJEycqIyMj33GpMQAAAODNqC+KR2xsrJo0aaL+/fvrjTfe0Jo1a7Rz507FxMQoPT1dCQkJ2rVrlz766CP17dtXzZs317p16/Idl/oCAAAA3o4awxpjxozRoUOHCnwcNQbgO2jWAACUWs8//7zrjkhPPfWUxdmULseOHZNhGB4ds0GDBurdu7ckad68edqzZ49HxwcAAACKihqjeKxcuVLHjx93vQ4KCtINN9yg/v3764EHHlCXLl0UEhIiSUpLS9OECRM0YMAAOZ3OPMelxgAAAIA3o74ofn5+fmratKnuuOMODR48WMOHD1evXr3UoEED1z579+5V165dtWLFijzHor4AAACAt6PGKHmbN2/W9OnTC3UsNQbgO2jWAACUSkePHtW8efMkSTfccIMuv/xyizMqffz8/NS8eXMNGjRI77zzjrZs2aLatWsXacyRI0dKktLT0zV16lRPpAkAAAB4BDVG8XI4HLr11lu1ZMkSxcfHa8OGDVqwYIHee+89rVy5UocOHVK/fv1c+y9cuFAzZ87Md1xqDAAAAHgj6oviExgYqBEjRuirr77S6dOn9eeff+qLL77Q7Nmz9e6772rx4sXau3evvvvuO9WtW1eSlJKSosGDBysxMTHPsakvAAAA4K2oMUpeamqqhg0bJqfTqYYNG+raa68t8BjUGIBvoFkDAFAqTZ8+XWlpaZKkYcOGWZxN6TN9+nQlJCTojz/+UFRUlEaMGKFWrVrJz69oXy1uuOEGNWnSRJI0f/58nT592hPpAgAAAEVGjVF8unTpoq1bt+rLL79Ujx49FBwcnG2fSpUq6cMPP1T37t1dsUmTJuX7xD9qDAAAAHgj6oviExERoXfeeUfdunVTRERErvt16NBBK1asUJkyZSRlPlH8iy++yHNs6gsAAAB4K2qMkvfCCy9o586dkqQZM2a4nhBeENQYgG+gWQMAUOo4nU7NmTNHUuYdlO666y5L8ymNmjdvrvDw8GIZu0+fPpKkc+fO6eOPPy6WcwAAAAAFQY1RvB5//HFdccUV+e7ncDg0efJk1+ujR49q69at+R5HjQEAAABvQn3hPZo0aaIbb7zR9frXX3/N9xjqCwAAAHgbaoyS98cff2jKlCmSpP79+6tLly6FHosaAyj9aNYAgCJIS0vT/Pnz1adPHzVo0EBly5ZVWFiY6tevr379+mnp0qX53uUzq9jYWI0fP15XXnmlypUrp7Jly6pZs2Z65JFH9Oeff0qSDhw4IIfDIYfDoXr16rk17uHDh/X888/rxhtvVI0aNRQUFKQKFSroqquu0hNPPKHdu3fnO8agQYNc573wBT8pKUnTp0/XDTfcoKpVqyooKEi1a9dWv379tGnTJrd/bkn6888/9fDDD+uSSy5RaGioKlWqpGuuuUaTJ09WbGxsgcZat26doqOjJWXeGalcuXIFOt4dK1as0JAhQ9S4cWNFREQoJCREdevWVY8ePRQVFeXqVi+Ir7/+WsOHD9dll12mihUrqkyZMoqMjNTVV1+t4cOH64svvlB6errHfxZv06NHD9f2ggULLMwEAACg5FFjUGNQY+StWbNmKl++vOv1gQMH8j2GGgMAAPgq6gvqC+qL/FWpUsW1ffbs2Xz3p74AAAC+jBqDGoMaI7M5ZtiwYUpNTVWFChX02muvFWk8agzABxgAAJO6desakgxJxv79+3Pdb82aNUbDhg1d++b2q02bNsaRI0fyPe+KFSuMSpUq5TpOYGCg8e677xr79+93xerWrZvnmBkZGcazzz5rBAcH55ljQECAMXbsWMPpdOY61sCBA137R0VFGTt37jSaNWuW57jjxo3L9+c2DMOYNm2aERgYmOs41atXNzZu3GhERUW5YgMHDsx1vMcee8y130svvZTv+desWePav3379nnue+LECaNTp075fu6XXHKJ8dNPP7n18//+++/GNddck++Ykoy+ffu6NaZVsv7/ExUVVagxnE6nUaFCBUOS4efnZ8TExHg2SQAAgBJGjZEzaoxM1BgFd6FekGQsWrQo3/2pMQAAQGlCfZEz6otM1BcFd8UVV7jyf+GFF/Ldn/oCAACUNtQYOaPGyESNkd0bb7zhym/WrFmuePv27V3x8ePHuz0eNQZQ+gUIAFBgixcvVv/+/V1dwcHBwWrTpo3q1asnf39/7d69W5s3b1Z6erp++OEHXXfddfrpp59UtWrVHMfbtGmT7rrrLiUnJ0uSHA6HrrvuOjVt2lTnz5/X999/rwMHDujBBx/UtGnT3MoxIyNDffv21WeffeaKVa9eXa1bt1aVKlWUmJioH3/8UXv37lV6erpefPFFxcTE6L333st37KNHj6pz5846evSoIiMjdeONN6patWqKjY3Vd999p4SEBEnSc889p+bNm6tv3765jvXOO+/o0Ucfdb0OCgpShw4dVKtWLcXExOi7777TsWPHdPvtt2vUqFFu/ezffvuta/uGG25w6xh3nDhxQm3bttXevXtdsYYNG6p169YKCgrSzp079eOPP0qS9uzZow4dOuibb75R27Ztcx1z7dq1uvPOO013a6pTp46uvfZaVahQQUlJSdq1a5e2bdumtLQ0nT9/3mM/j7dyOBy6/vrrtXz5cjmdTq1evTrPP0MAAAClATUGNcYF1Bh5O3r0qE6dOuV6Xbt27XyPocYAAAC+hvqC+uIC6ou8zZ07V9u2bZOU+ec66x1tc0N9AQAAfBE1BjXGBb5eYxw8eFD//e9/JUnt2rXTkCFDijwmNQZQ+tGsAQAF9Mcff2jQoEGuAmTUqFF69tlnVaFCBdN++/bt08CBA7Vx40YdPnxYgwcP1ldffZVtvOTkZA0cONBVgFxyySVavHixrrjiCtN+77//vkaMGKHRo0e7lefEiRNdBUiVKlX01ltvqVevXvLz8zPt9+mnn2rYsGFKSEjQ+++/r86dO6tPnz55jv3cc88pJSVFo0eP1vjx4xUaGup679SpU+rdu7e+++47SdLYsWPVp08fORyObOPs2rVLjz/+uOt1586dNX/+fFWrVs0VO3v2rEaOHKn58+frxRdfzPfnTkxM1M6dOyVlfplt0aJFvse4a/Dgwa4CJDQ0VO+//77uvfde0z4///yz+vbtq3379ikxMVH9+vXT9u3bFRkZmW28w4cPq3fv3q4CpH79+poxY4a6du2abd/Tp09r0aJF+vvvv3PMbdq0adqzZ08Rf0Kz5557Ltuf65Jy+eWXa/ny5ZKkH3/8kSIEAACUatQY1BgSNYa7LjxuXpLKlSuna665xq3jqDEAAICvoL6gvpCoL3LjdDoVHx+v7du3a968eZo7d67rvdGjR6tZs2ZujUN9AQAAfAk1BjWGRI1xwYMPPqikpCQFBgZq5syZOX7OhUGNAZRyVj/aAwC8TX6P9+vYsaPr/UmTJuU5VmJioukReD/88EO2fd5++23X+2XLljUOHDiQ63jvvPOO6VFvuT3eb//+/Ya/v79rzD///DPPPFevXu0as1mzZjk+5i/r4/0kGWPGjMl1vOPHjxthYWF5/tyGYRj9+vVz7dOiRQvj3LlzOe6XkZFh3Hrrrabz5/Z4v82bN7v2qVmzZp4/9wXuPN7vu+++M53/888/z3W8/fv3G+XKlXPtO3HixBz369+/v+mzPH78uFv55iTro/Q89Suvx1vmJuv/P1FRUYX+eebPn+8ap0OHDoUeBwAAwBtQY1Bj5IQao+Cio6ONiIgI13ijR492+1hqDAAAUFpQX1Bf5IT6IndDhw7Nc5zg4GBj6tSpBfp5qC8AAEBpQo1BjZETaozs5s2b59p33LhxeeY0fvz4Av081BhA6WZuGwQA5Gnbtm2uTujGjRvr6aefznP/sLAwjRs3zvX6ww8/zLZPVFSUa/uxxx5T3bp1cx3vwQcfVJMmTfLNc9q0acrIyJCUeSegpk2b5rl/x44dXV3Kf/75p7Zu3Zrn/pUrVzb9XBerWrWqbrvtNtfrn376Kds+p0+f1pIlS1yvX3nlFYWEhOQ4np+fn6ZNm+ZWN/L+/ftd27Vq1cp3f3fNnDnTtX3HHXfozjvvzHXfevXqaezYsa7X7777rgzDMO0THR2tTz75xLRPbo9/9EU1a9Z0bWf9TAEAAEobaoxM1BjUGPnJyMjQwIEDdebMGUmZd0bL7/+XrKgxAACAL6C+yER9QX3hruuuu06///67/vOf/xToOOoLAADgK6gxMlFjUGPExMTosccek5T5/0LWn9cTqDGA0o1mDQAogKyP5+vdu7f8/f3zPaZjx46u7Y0bN5reO3v2rOkL/8WPiruYn5+f+vXrV6A877nnnnz3zy/Pi91xxx0KDg7Oc5+rrrrKtX3gwIFs73///fdKSUmRlFm0dOnSJc/xGjVqpOuvvz7PfSTpxIkTru2KFSvmu7+71qxZ49oeMmRIvvsPHjzY9SjFY8eOadeuXab3V61apfT0dEmZj3S85ZZbipTf2rVrZRiGR3/Vq1evSDkVRaVKlVzbx48ftywPAACA4kaNkYkagxojP0899ZRWrVrlej1nzhyVL1/e7eOpMQAAgC+gvshEfUF9kVXHjh01cuRIjRw5UsOHD9fdd9/tOnbz5s1q0aKFxowZo9TUVLd/HuoLAADgK6gxMlFjUGM8+uijiouLk5TZaBIUFFSk/C9GjQGUbgFWJwAAdrJ582bT9sMPP5zvMVk7hQ8fPmx6b9u2bXI6nZKkiIgIt7rBW7Vqlef7cXFx2r17t+v166+/7lan9c6dO3PN82ItWrTId7ysBUBCQkK293/77TfXdqtWrVxf2PPSpk0bbdq0Kc99kpKSXNu5daAXVHR0tE6ePOl67U4xVLlyZTVu3Fh//fWXJOnXX381de7/8MMPru2bbrrJI3mWJlk/u/Pnz8vpdLr1ZwQAAMBuqDEyUWNQY+RlxowZmjp1quv1s88+q27duhVoDGoMAADgC6gvMlFfUF9kde+99+Z4EeCaNWv00EMPadeuXZoyZYq2bt2q5cuXKyAg/0soqC8AAICvoMbIRI3h2zXGl19+qY8++kiSNHDgQHXo0MHj56DGAEo3mjUAoACOHj3q2v7uu+9cj/pz1+nTp02vY2NjXdvuPoou62PPcnLs2DHT6+nTp7uZ3T8uzvNi5cqVy3eMMmXKuLbT0tKyvR8TE+ParlOnjlt51a5d2639LnCn+HJH1lxDQkJUpUoVt46rV6+eqwjJ+llL5s72Bg0aeCDL0uXixyECAACUVtQYmagxqDFy8/HHH5sWAB966CE999xzBR6HGgMAAPgC6otM1BfUF+7o0KGDNm3apFatWmn//v1asWKFXnnlFY0ZMybfY6kvAACAr6DGyESN4bs1xtmzZ/XQQw9Jynz6xauvvlos56HGAEo3Wq8AoABy6nwuiIyMDNPrxMRE13ZoaKhbY4SFheX5flFzlOR67FxuPPHlvjh+9ov3OXfuXMETy0HWXN3JIad9z549a3ov6+vw8PAiZFc6nT9/3rUdHBxMtzgAACi1qDEyUWO4x9dqjC+//FIDBgxw3WmtX79+evvttws1FjUGAADwBdQXmagv3ONr9UVOKlasaGoGf/311131R16oLwAAgK+gxshEjeGe0lhjjBs3zvXklVdffVWVKlUqlvNQYwClG0/WAIACyPqlctmyZerevbvHxnP3C3PWx9flN2ZkZGS+3d9WyfrF21M/uyRVq1bNtX1xl3ZhZc3VnRxy2rds2bKm97K+zlrkFNa0adO0Z8+eIo+T1XPPPacKFSp4dEx3Ze3Sr169uiU5AAAAlARqDM+hxihdNcZ3332nXr16ue5Aduedd2revHmFXqCgxgAAAL6A+sJzqC9KV32Rly5duri2Y2JitGfPHjVp0iTPY6gvAACAr6DG8BxqDHvWGFu3bpWU2bAzY8YMzZgxI9fjd+7c6dqeNWuWvvnmG9frH374Ic9zU2MApRvNGgBQAFWrVnVte+ILX9Zu2+joaLeOyW+/rDnGx8crJiZGlStXLlyCxShrTocOHXLrmAudynmpV6+ea/vIkSMFzisnWXNNTk5WbGysW53SBw8edG1fvH/Wz2n//v1FznHp0qVat25dkcfJ6oknnrCsWSPrn/OsnykAAEBpQ43hOdQYpafG2LRpk+68807XnaQ6deqkRYsWKSCg8P+USY0BAAB8AfWF51BflJ76Ij/ly5c3vY6Li8v3GOoLAADgK6gxPIcaw941hmEY+vHHH90eKzo62u0/4xf2v4AaAyh9eFYOABRA69atXdsrVqwo8nhXXHGF61F5CQkJ2rVrV77H/PTTT3m+X716ddWpU8f1euXKlUVLsphceeWVru2ffvrJrcdK59dlLEktWrRw3Wn12LFj2R6rVxg1a9ZUlSpVXK+///77fI+Ji4szfZ5XX3216f02bdq4ttesWVPkHEubv/76y7Wd9c8KAABAaUON4TnUGKWjxvj555916623uu7Adf311+vzzz9XUFBQkcalxgAAAL6A+sJzqC9KR33hjmPHjpleu9MAQn0BAAB8BTWG51Bj+E6NURjUGEDpRrMGABTA7bff7tpevXq1duzYUaTxIiIidNVVV7leL1y4MM/9nU6nPvroo3zHve2221zbb7zxhgzDKHySxeT6669XYGCgJOnEiRP69ttv89z/77//duvLf1hYmJo3by4ps6t5+/btRU9WUocOHVzbc+bMyXf/uXPnugqrGjVqZHtkdpcuXVx3hd2zZ0+Ri9q1a9fKMAyP/rKyUzvr55a1+AcAAChtqDE8hxrD/jXGjh071LVrV505c0ZS5mLOV199ZXqMfWFRYwAAAF9AfeE51Bf2ry/ctXz5ctd2SEiI6tatm+8x1BcAAMBXUGN4DjWGPWuMgpynffv2ruPGjx9vei8/1BhA6UazBgAUwLXXXqubbrpJUuYX3Pvuu891EUl+UlNTdfr06WzxwYMHu7Zff/110yPhLvbuu++61VX++OOPy9/fX1LmXUknTpzoVo6SdPz4cbf3LYry5curZ8+ertdPPvmkkpOTc9zXMAw9+uijbhdTXbp0cW1v3LixaIn+v+HDh7u2ly5dqm+++SbXfQ8fPqxJkyaZjr1wZ4ALatSoob59+5r2OXHihEdytTvDMFwFp5+fnzp16mRxRgAAAMWHGsNzqDHsXWPs3r1bXbp00alTpyRJzZs314oVK1SuXLkij02NAQAAfAX1hedQX9i3voiLi3N734MHD+q5555zvb711lsVEhKS5zHUFwAAwJdQY3gONYZ9a4ziRo0BlH40awBAAb311lsKDw+XlNnVeu2112rVqlW57v/333/rhRdeUP369bVp06Zs7w8ZMkT169eXJJ09e1ZdunTRtm3bsu33/vvv69FHH1VQUFC+OTZs2FDPPPOM6/XEiRM1aNAgHTlyJMf9MzIytGrVKg0YMCDbY+iK07hx41w/z44dO9S9e/dsRdDZs2c1cOBAffXVV64O8/zccccdru3vvvvOI7l26NBB3bp1c73u3bu3Fi9enG2/rVu3qlOnTq6Cs3bt2nrkkUdyHHPy5MmqWLGipMwFgeuuuy7XzvH4+Hi99957Gj16dFF/FK/322+/uS7QatOmjSpVqmRxRgAAAMWLGsNzqDHsWWMcOnRInTt3di3MNGrUSKtWrfJYLUCNAQAAfAn1hedQX9izvrjllls0dOhQbdiwIdeL29LS0vTRRx/puuuu08mTJyVJZcqU0fPPP5/v+NQXAADA11BjeA41hj1rjOJGjQGUfgFWJwAAdnPZZZfpo48+Ut++fXXu3Dnt2rVLXbp0Ue3atdWqVStVqlRJqampiomJ0bZt23L94n9BaGio5syZo5tvvlkpKSnas2ePrrrqKl133XVq2rSpzp8/r++//14HDhyQJE2dOlWPPvqopMxu2tyMHz9eBw4c0Ny5cyVlPm5uwYIFuuqqq9S0aVOFh4frzJkzOnjwoLZt26bExERJcn0pLgnNmjXTyy+/7Pp5vv32W9WrV08dO3ZUrVq1FBMTo++++05nzpxRZGSkHn30Ube639u3b6+aNWsqOjpaa9euVUJCgkfuxhoVFaW2bdtq7969SkxMVJ8+fXTJJZeodevWCgwM1J9//qkffvjB9Y//YWFh+uijjxQZGZnjeLVr19Ynn3yiu+66S4mJidq/f79uueUW1a1bV9dee60qVKigxMRE7d69W7/99pvS0tLUvXv3Iv8cnvDzzz9r2LBh2eJHjx51bY8bN05vvPGG6f1rrrlGs2bNynPspUuXurb79+9ftEQBAABsgBrDc6gx7Flj9OrVS4cPH3a9btasmV544QW3jr311lt166235rkPNQYAAPAl1BeeQ31hz/oiLS1Ns2fP1uzZs1WuXDldccUVqlWrliIiInT+/HkdPnxYv/zyi+Lj413HBAQE6MMPP1SzZs3yHZ/6AgAA+BpqDM+hxrBnjVHcqDEAH2AAAEzq1q1rSDIkGfv37891v99++81o2bKla9/8ftWrV8/YunVrruN9/fXXRsWKFXM9PjAw0Hj33XeN3bt3u2KXX355vj/PW2+9ZZQvX96tHB0Oh3HnnXfmOM7AgQNd+0VFReV73qioKNf+AwcOzHPfqVOnGoGBgbnmVbVqVWPDhg0FGvOZZ55xO981a9a49m3fvn2e+x4/ftzo2LFjvr+XjRo1MrZs2ZLnWBf89ttvxhVXXOHWZ9S/f3+3xixuWX/PCvIrv99fwzCMpk2bGpKMkJAQIy4urvh/GAAAgGJGjUGNkRdqDPP/IwX9NX78+HzHp8YAAAClCfUF9UVeqC8M49prry1QTXHllVcamzdvdnt86gsAAFDaUGNQY+SFGsN97du3d+XtztrFBdQYQOnHkzUAoJCuuOIK/fzzz1q5cqWWLVumTZs26ejRo4qPj1dQUJAqV66sxo0bq02bNuratauuu+46ORyOXMe75ZZb9Oeff+qtt97S559/rv3798swDNWqVUudO3fWQw89pObNm+vHH390HZNbJ3JWDz/8sAYOHKj58+fr22+/1bZt2xQTE6Pz58+rbNmyqlWrli699FLddNNNuvXWW1W7dm1P/PYUyH/+8x/dcsstevvtt7Vy5UpFR0crNDRUdevWVY8ePTR8+HBVqVJFf//9t9tjjhgxQi+//LJSU1M1a9YsDRo0yCO5Vq1aVatXr9aKFSv08ccfa+PGjTp+/LjS0tJUpUoVXXXVVbrrrrt03333qUyZMm6NecUVV2jr1q1atmyZli1bps2bN+vEiRNKSkpSRESEGjRooGuvvVZ33HGHunbt6pGfw1tt3LhRf/31lyTp/vvvV4UKFSzOCAAAoORQY3gONQY1xgXUGAAAwFdRX3gO9YW96ouNGzdq06ZNWrdunX7++Wft2bNHx44dU1JSkoKCglSuXDk1atRI11xzjXr27KkbbrihQGNTXwAAAF9FjeE51Bj2qjGKEzUG4BschvH/zyACANjC+++/r3/961+SpOHDh+vdd9+1OCPv9cADD2jWrFmSpK1bt+rKK6+0NiHk695779VHH30kf39/7dy5U40bN7Y6JQAAgFKPGsN91Bj2Q40BAABQsqgv3Ed9YT/UFwAAACWPGsN91Bj2Q40B+AY/qxMAABTMokWLXNutWrWyMBPv9+yzzyowMFCS9PLLL1ucDfKzf/9+15/vAQMGUIAAAACUEGoM91Fj2As1BgAAQMmjvnAf9YW9UF8AAABYgxrDfdQY9kKNAfgOmjUAwEY+//xzrVq1SpIUFBSkHj16WJyRd6tTp44eeeQRSZnF24XHxsE7vfDCC8rIyFBoaKgmTpxodToAAAA+gRqjYKgx7IUaAwAAoGRRXxQM9YW9UF8AAACUPGqMgqHGsBdqDMB30KwBAF7g0KFD6tOnj77//nsZhpHt/dTUVL399tvq27evKzZ06FBVqFChJNO0pXHjxql69erKyMjQmDFjrE4Hufjzzz81Z84cSdLYsWNVu3ZtaxMCAACwOWqM4kONYQ/UGAAAAJ5DfVF8qC/sgfoCAADAs6gxig81hj1QYwC+xWHkNNsBAErUgQMHVL9+fUlStWrVdPXVV6t69epyOBw6evSoNm/erNOnT7v2b9q0qX766SeFh4dblTIAAAAAL0aNAQAAAMBTqC8AAAAAeBI1BgDAl9CsAQBeIGsRkp+OHTvqk08+UaVKlYo5KwAAAAB2RY0BAAAAwFOoLwAAAAB4EjUGAMCX0KwBAF5iy5Yt+t///qfNmzcrOjpasbGxio+PV9myZVW9enW1bdtWffr0UefOna1OFQAAAIANUGMAAAAA8BTqCwAAAACeRI0BAPAVNGsAAAAAAAAAAAAAAAAAAAAAAAB4kJ/VCQAAAAAAAAAAAAAAAAAAAAAAAJQmNGsAAAAAAAAAAAAAAAAAAAAAAAB4EM0aAAAAAAAAAAAAAAAAAAAAAAAAHkSzBgAAAAAAAAAAAAAAAAAAAAAAgAfRrAEAAAAAAAAAAAAAAAAAAAAAAOBBNGsAAAAAAAAAAAAAAAAAAAAAAAB4UIDVCeAf58+f144dOyRJlStXVkAAHw8AAACslZ6erpiYGElSixYtFBwcbHFGKAhqDAAAAHgbagz7or4AAACAt6G+sDdqDAAAAHib4qgx+JbrRXbs2KFrr73W6jQAAACAHG3ZskWtWrWyOg0UADUGAAAAvBk1hr1QXwAAAMCbUV/YDzUGAAAAvJmnagw/D+QCAAAAAAAAAAAAAAAAAAAAAACA/8eTNbxI5cqVXdtbtmxR9erVLcwGAAAAkI4dO+a6q1HW76uwB2oMAAAAeBtqDPuivgAAAIC3ob6wN2oMAAAAeJviqDFo1vAiAQH/fBzVq1dXrVq1LMwGAAAAMMv6fRX2QI0BAAAAb0aNYS/UFwAAAPBm1Bf2Q40BAAAAb+apGsPPI6MAAAAAAAAAAAAAAAAAAAAAAABAEs0aAAAAAAAAAAAAAAAAAAAAAAAAHkWzBgAAAAAAAAAAAAAAAAAAAAAAgAfRrAEAAAAAAAAAAAAAAAAAAAAAAOBBNGsAAAAAAAAAAAAAAAAAAAAAAAB4EM0aAAAAAAAAAAAAAAAAAAAAAAAAHkSzBgAAAAAAAAAAAAAAAAAAAAAAgAfRrAEAAAAAAAAAAAAAAAAAAAAAAOBBNGsAAAAAAAAAAAAAAAAAAAAAAAB4EM0aAAAAAAAAAAAAAAAAAAAAAAAAHhRgdQIAAHib1NRUJSYmKikpSampqXI6nVanBACF5u/vr+DgYEVERCgsLEwOh8PqlGAzhmEoKSlJZ86c0fnz55WRkWF1SgBQaH5+fgoMDFRYWJjCw8MVGBhodUoAAAAAAAAAAAAAgFKKZg0AAP6fYRiKjY1VbGys1akAgMekp6crJSVFCQkJCgkJUZ06deTnxwP24B6n06lDhw4pOTnZ6lQAwGMuNGefOHFClStXVsWKFWlmBAAAAAAAAAAAAAB4HM0aAAD8v2PHjikhIcEUczgc8vf3tygjACi6jIwMGYYhSUpOTtahQ4dUt25dLkpFvgzDyNaowbwIwO6yzouSFBMTo9TUVNWoUcPCrAAAAAAAAAAAAAAApRHNGgAASDp//rypUaNixYqKiIhQUFAQFzQDsDWn06nExEQdP35cGRkZSk5OVlJSksLDw61ODV4uKSnJ1ajh7++vatWqKTw8nCezALA1wzCUkpKiM2fOKC4uTpKUkJCgihUrKigoyOLsAAAAAAAAAAAAAAClCVfZAAAgKT4+3rVdpUoVValSRcHBwTRqALA9Pz8/RUREqFq1aq7Y2bNnLcwIdnHmzBnXdrVq1RQREUGjBgDbczgcCg4Odn3nv+D06dMWZgUAAAAAAAAAAAAAKI240gYAAEnnzp1zbUdGRlqXCAAUk/DwcFcD2oWnJQB5OX/+vKTMC5t5EguA0ijr9/6s9QAAAAAAAAAAAAAAAJ5AswYAAJIyMjIkSQEBAfL397c4GwDwPD8/P9ffbxf+zgPycuHPib+/P0/UAFAq+fv7MzcCAAAAAAAAAAAAAIpNsV5x8+uvv+rFF19Ut27dVLt2bQUFBSk8PFyNGzfWoEGDtGHDBo+f8+OPP1bXrl1VvXp1BQcHq169err//vv1ww8/uD1GXFycxo8fryuuuELlypVTRESErrjiCo0fP15xcXEezxkAAABA/qgvAACeduGpUwAA30SNAQAAAMCTqDEAAAAAXMxhGIZRHAO3b99e69evz3e/+++/X7NmzVJgYGCRznf+/Hn17t1by5cvz/F9Pz8/TZgwQc8++2ye4/z000/q3r27jh07luP7NWrU0Oeff65rrrmmSPnm5MiRI6pdu7Yk6fDhw6pVq5bHzwEAyNmePXuUnp6ugIAAXXLJJVanAwDFojB/13nLd1Tqi8IpyufH3AjAF/B3HQCUPGoM+9YY3vLZAQAAABd403dUaoyC86bPDwAAAJCK5ztqsT1ZIzo6WlLml/ZHH31Un376qbZs2aLNmzfrtddeU82aNSVJ8+fP16BBg4p8vqFDh7oKkA4dOmjZsmXasmWLPvjgAzVs2FBOp1Pjxo3TrFmz8sz5jjvu0LFjxxQQEKDRo0dr/fr1Wr9+vUaPHq2AgAAdPXpUt99+u+vnAwAAAFD8qC8AAAAAeBI1BgAAAABPosYAAAAAkJNie7LG7bffrgEDBujuu++Wv79/tvdjY2PVtm1b7d69W5K0fv163XjjjYU617p163TTTTdJku644w4tXbrUdM7Y2Fi1bNlShw4dUvny5bVv3z5FRkZmG2fQoEGaO3euJGnRokXq3bu36f3FixerT58+kqTBgwdr9uzZhco3N3SMA4B1uKMuAF9g5ydrUF8UDk/WAIC88XcdAJQ8agz71hje8tkBAAAAF3jTd1RqjILzps8PAAAAkGz2ZI3ly5erT58+ORYgklSpUiVNnTrV9frTTz8t9LlefvllSZK/v7+mT5+e7ZyVKlXSSy+9JEk6ffq0Pvjgg2xjnDhxQgsWLJAkde3aNVsBIkm9e/dW165dJUnz5s3TiRMnCp0zAAAAAPdRXwAAAADwJGoMAAAAAJ5EjQEAAAAgJ8XWrOGOC13ekrR3795CjZGYmKjVq1dLkrp06ZJrB0vPnj0VEREhSVqyZEm297/44gtlZGRIyuwGz82FRxFmZGToiy++KFTOAAAAADyP+gIAAACAJ1FjAAAAAPAkagwAAADA91jarJGamura9vMrXCpbtmxRSkqKJKl9+/a57hcYGKg2bdq4jklLSzO9v2HDBtd2XuNkfW/jxo2FyhkAAHjW3Llz5XA4dOmll8rpdHp8/FtvvVUOh0Pjx4/3+NiA21LOSunnrc7Cq1FfAJmYFwEAQL4y0qXfPpKK4btCaUKNAQAAALjpwEYprnDNB76EGgMAAABwQylbw7C0WWPdunWu7aZNmxZqjD///NPtMS68n56erj179uQ4Trly5VStWrVcx6hevbqr8zzrud1x5MiRPH8dO3asQOMBAAApKSlJY8aMkSQ9++yzhf6HzbyMGzdOkvTKK6/o8OHDHh8fyFdGmnT6gBSzS0qKlQzD6oy8kq/VFxI1BrJjXgQAAG7Z8Kq07EFp3p1SPPN5bnytxqC+AAAAQKEkxkiLB0nv3iD9PJs1jDxQY1BjAAAAwA2lbA0jwKoTO51OTZkyxfW6T58+hRon64UhuT3a74LatWubjmvevHm2cfIb48I4f/zxR4EvSsl6fgAA4Blvvvmmjh07pmbNmhX6+0R+2rRpoy5duujbb7/VpEmTNHPmzGI5D5Ajw5DiD0nO9MzXCYel8wlS+XqSn7+lqXkTX6wvLs4BkJgXAQCAG478LK17OXP7wAZpRlupx7tS01utzcvL+GKNQX0BAACAAjMM6Yt/S0kxma+XPybtXiH1ipICQ63NzctQYwAAAABuKIVrGJY9WeP111/Xli1bJEk9evTQNddcU6hxzp4969oODw/Pc9+wsDDXdmJiYo7j5DdG1nEuHgMAAJSs5ORkTZ06VZL02GOPFcvdwy94/PHHJUlRUVGKjo4utvMA2ZyLk1LOXBR0SA5LH5LndagvAOZFAADghtQkacm/JCMjSyxRCq9qXU5eihoDAAAAcMOvc6XdX5tjDj+pTIg1+XgxagwAAAAgH6V0DcOSJ2usW7dOTz/9tCSpSpUqmjFjRqHHOn/+vGs7MDAwz32DgoJc28nJyTmOk98YWce5eIz85NdhfuzYMV177bUFGhMAAF+2YMECxcXFKSgoSL179y7Wc3Xu3FlVqlTRyZMnNWPGDE2aNKlYzwdIktLPS2cuugjaL0CKrC05HNbk5IV8tb6QqDFgxrwIAADyteK/0qm95lj70VKtltbk46V8tcagvgAAAECBxO2VvhlrjoVVlu54kzWMi1Bj5IwaAwAAACaldA2jxJs1/vjjD/Xo0UPp6ekKCgrSokWLVLVq4TtegoODXdupqal57puSkuLaDgkxd/EHBwfr3Llz+Y6RdZyLx8iPO48OBAAA7vvggw8kSbfddpsiIyOL9Vz+/v7q27ev3nrrLc2ZM0fPPfdcsd6xHJBhSKcPSobTHI+sI/mXsSYnL+TL9YVEjQEz5kUAAJCnXd9Iv0SZYzWvkW58wpp8vJQv1xjUFwAAAHBbRnrmHW/TkszxO9+Wwitbk5OXosYAAAAA3FCK1zBK9EqK/fv36+abb9bp06fl7++vjz76SO3bty/SmGXLlnVt5/e4vaSkf4rEix/jd2Ecdx7Zd2Ecdx4FCAAA/pGWlqZq1arJ4XCoW7du+e7/+++/y+FwyOFw6MUXXzS9d/DgQf3444+SpLvvvjvH4+Pi4lSjRg05HA7VqFFDcXFxuZ6rZ8+ecjgc8vPz08qVK3Pc58J5oqOjtXHjxnzz90b/+te/XL+nCxcuzHW/L774wrVf//79SzBDuCQel9LOmWOhFaXgctbk44WoL2B3zIvWY14EAPiMxBjpi4fNsTKhUs/3JH9LHsDtlagxAAAAADdtmCpF/2yOtRwkNbnFknS8FTUGAAAA4IZSvoZRYs0aR48eVefOnXX06FE5HA7Nnj1bPXr0KPK4Wbuwjxw5kue+WR+vV7t27RzHyW+MrONcPAYAAMhbmTJlNGDAAEnSypUrFR0dnef+s2fPlpR59+6BAwea3lu7dq1ru02bNjkeX7FiRc2dO1cOh0PHjh3TAw88kON+H3zwgZYuXSpJeuSRR3TzzTfnuF+rVq3k7++f7fx28sYbb6hx48aSpBEjRujQoUPZ9jlx4oSGDRsmSapTp46mT59eojlCUmqSdPa4OeYfJEXUtCYfL0R9gdKAedF6zIsAAJ9gGNL/HpGSYszxri9KFRtak5MXosYAAAAA3HTkF2ndS+ZYhQbSzS9Yk4+XosYAAAAA3OADaxgl0qwRGxurLl26aN++fZKkt956y3VBSlE1b97ctf3XX3/lue+F9wMCAtSoUaMcx0lISNDx48ezHXvBsWPHdObMGUlSs2bNCpUzAMCenE5DcYkpPvXL6TQ8/vt44WJHp9OpefPm5bpfWlqaFixYIEm6+eabVbOm+SL1DRs2SJIqVKigBg0a5DpOly5dNGrUKEnS0qVL9cEHH5je37t3r+v9yy67TFOmTMl1rNDQUF166aWm89tNaGioFi5cqDJlyighIUH333+/nE6naZ8hQ4YoJiZGfn5+mj9/vsqV40kOJcqZIZ0+mD1evq7k51/y+Xgh6gvv4WtzI/OiGfMiAAA28es8addX5ljjWzLvegtJ1BgAAACA21KTpCUPSEbGPzGHv9TzfSmIpy5cQI0BAAAAuMkH1jCK/dkgCQkJ6tq1q3bu3ClJmjJlikaOHOmx8Vu1aqXAwEClpqZq3bp1evrpp3PcLzU1VT/88IPpmKxuuOEGzZ8/X5K0bt069e3bN8dx1q1b59pu27atJ34EAIBNnD6XqpaTVlmdRon65ZnOqhge5NExGzdurHbt2mn9+vWKiorSmDFjctxv+fLlionJ7JgdOnRotve///57SdJVV12V7zknT56s1atXa/v27Xr00UfVvn17NWrUSBkZGbrvvvuUmJiooKAgffjhhwoODs5zrJYtW2r79u3avHmzDMOQw+HI9/wXmzBhgiZOnFjg47KqW7euDhw4UKhjW7ZsqYkTJ2rs2LFav369Xn75Zdd3qHfeeUdffZX5Bfipp55Su3btipQnCuHMUSkjxRwLryYFhlmTj5ehvvAuvjY3Mi9mx7wIAICXO7VP+uai7xehlaQ735IKMW+XRtQYAAAAQAGsfFY6tdcca/ekVOsaa/LxQtQYAAAAgJt8ZA2jWJ+sce7cOd1222369ddfJUn//e9/9dRTT3n0HGXLllWnTp0kSatWrcr18XxLlixxdXrn9FjBO++8U35+mb8dUVFRuZ5vzpw5kiQ/Pz/deeedRUkdAACfdeEu4nv27NGmTZty3OfCfFypUiXdcccd2d6/MOdXqVIl3/MFBQVp4cKFCg4OVlJSkvr376/09HQ9//zzrn+knDx5si6//PJ8x7pwvqSkJMXHx+e7v7fKesHpuHHj9Msvv+ivv/7Sk08+KemfC1dRws4nSOdizbEyoVLZqtbk42WoL1BaMS9aj3kRAFAqZaRLS4ZLaUnmePe3pfD8vzP4AmoMAAAAoAB2r5R+Nj+pVzVbSu2esCYfL0SNAQAAALjJh9Ywiq1ZIzU1VT169HBdaPLoo49q0qRJBR5nzpw5cjgccjgcmjBhQo77PPFEZuGXnp6ukSNHKiMjw/R+bGysq/iJjIx0XQiTVbVq1dS/f39J0ooVK/Tpp59m22fx4sVasWKFJOn+++9XtWrVCvzzAAAAqVevXoqMjJSU8z/+nThxQl9//bUk6b777st2p5eUlBSdPXtWklS+fHm3znnppZfqpZdekiRt2bJF9957r1544QVJUufOnTVq1Ci3xqlQoYJr+8IdzgtqxIgR2rFjR5F+rVy5slDnvsDPz0/z589XZGSk0tLS1L9/f917771KTk5WaGioPvzwQ5UpU6ZI50ABZaRJ8YfMMYefVL5u5n99HPUFSjPmReZFAACKxcbXpSNbzLGrB0pNulmTj5ehxgAAAAAKIClW+vyip0OUCZV6vi/58+9mEjUGAAAAUCA+tIYRUFwD9+vXz3WxRMeOHTV06FD9/vvvue4fGBioxo0bF+pcHTt21D333KOPP/5YX3zxhbp06aJRo0apRo0a2rFjh1544QUdOpR54duUKVNyvXjlhRde0DfffKOYmBj169dPP//8s26//XZJ0vLlyzV16lRJUuXKlQtVUAEAgEwhISG69957NX36dC1atEjTpk1TWFiY6/358+crPT1dkjRkyJBsx586dcq17e5FqZL073//W19//bW++eYbLV68WFLmRaZz586Vw81Hp2U9X1xcnNvnzqpKlSpu3fm8uNWpU0czZsxQv379tGvXLlf8tddeU5MmTSzMzAcZhhR/WHKmm+MRNaWAYGty8jLUFyjNmBeZFwEA8Lgjv0hrJ5tjFRpIXV+0Jh8vRI0BAAAAuMkwpC/+LSWdNMe7viBVbGhNTl6IGgMAAABwk4+tYRRbs8aSJUtc2999950uv/zyPPevW7euDhw4UOjzzZ49W2fOnNFXX32lNWvWaM2aNab3/fz89Oyzz2r48OG5jlG7dm3973//01133aXjx4/rpZdect1p9IJq1app2bJlqlWrVqFzBQDYU/nQQP3yTGer0yhR5UMD89+pkB544AFNnz5dZ8+e1WeffaYBAwa43rtwV/FWrVqpRYsW2Y4NDv7n4vXk5GS3z+lwODRz5kzVr19fTqdTkvTmm2+qRo0abo+R9XwhISFuH+et7rnnHs2aNUurV6+WlHk39by+L6GYnIuTUhLMsaAIKbSiNfl4IeoL7+RrcyPzYnbMiwAAeKGURGnJMMnIcmdVh7/U4z0pKNy6vLwMNQYAAADgpl/nSru+Mscu6Sq1HGxNPl6KGgMAAABwgw+uYRRbs0ZJCwkJ0ZdffqmFCxdqzpw52rZtm+Lj41W1alXdeOONevjhh3XdddflO07r1q21Y8cOTZs2TcuWLXMVRvXr11f37t01atQoVazIRXMA4Iv8/ByqGB5kdRqlxpVXXqmWLVvql19+UVRUlOui1B9//FE7d+6UlPPdw6XMx/UGBAQoPT3ddDdxd7z99tuuC1IlaeXKla5H/Loj6/kqV65coHNfcPLkSZ08eTL/HfNQlLvtZPXbb79pw4YNrtfbtm3TiRMnVLVq1SKPDTeln5fORJtjfgFSZB3JzTvbw/OoL9zD3Og5zIvMiwAAeMzK/0qn9plj7Z6UareyJh9IosYAAACATcXtlb4ZY46FVpK6v80ahsWoMQAAAGBLPriG4TAMw7A6CWQ6cuSIateuLUk6fPgwXekAUIL27Nmj9PR0BQQE6JJLLrE6HZ/x7rvv6qGHHpLD4dDff/+tBg0a6MEHH9TMmTMVEhKiY8eOqVy5cjkeW716dR0/flzdu3fXsmXL3Drf2rVr1alTJzmdTkVEROjMmTOSpEWLFql3795ujfHoo4/qzTfflCSdP39eQUEFv0h5woQJmjhxYoGPy6qod9uRMvNv2bKldu7cqbCwMCUnJ8vpdOq2227T8uXLizQ23GQ4pdg9Uto5c7xCAyk45z/7RVGYv+v4jmpvRfn8mBtLHvNi4TEvorD4uw5AqfPXV9LH/cyxmtdIQ76R/MtYk9NFqDHsi88OAADAx2SkSbO7StG/mOP9PpaadLMmp4vwHdXe+PwAAAB8jI+uYfgVeQQAAIBCuvfeexUaGirDMDR37lwlJyfr448/liT17Nkz1wtSJalFixaSpN27d7t1rvj4eA0YMEBOp1NVqlTR1q1b1ahRI0nSgw8+qOjo6HxGkOl8jRs3LtQFqd7kySefdN2t/Z133tGTTz4pSfryyy81Y8YMK1PzHWdPZG/UCK1YLI0aALwf86K1mBcBALZ39oT0xcPmWJkwqed7XrPIAQAAAMBG1r+SvVGj5WCvadQAAAAAYCM+vIZBswYAALBMRESE+vTpI0maO3euPv30UyUkJEiShg4dmuexN954oyRp165dOnv2bL7neuihh3T48GFJ0uzZs9WgQQMtWLBAAQEBOnXqlAYNGiR3Hjj2888/m85fGBMmTJBhGEX6VdS7h3/zzTd6++23JUm9e/fWwIED9fzzz+vqq6+WJD3xxBPatWtXkc6BfKQmSYnHzTH/ICmipjX5ALAc8yLzIgAAhWYYmYsc5+LM8VsmSxUbWpMTAAAAAPs6vCWzWSOrio2kri9Ykw8AAAAA+/LxNQyaNQAAgKWGDRsmSTp48KBGjx4tSapfv75uuummPI+7cFGo0+l0XSiamwULFrjuTP7QQw/ptttukyS1bt1azzzzjCRp1apVeuONN/IcZ9++fYqNjTWd345iY2M1ePBgSVLNmjU1c+ZMSVKZMmX04YcfKiQkROfOnVP//v2VlpZmZaqllzNDOn3goqBDKl9X8vO3IiMAXoJ5seQxLwIASoWfP5D2rDTHmt4uXT3AmnwAAAAA2FfKWWnJA5Lh/CfmFyD1fF8KDLMuLwAAAAD25ONrGDRrAAAAS7Vt21bNmjWTJB0/nvmUgcGDB8vhcOR53PXXX6/y5ctLklavXp3rfgcPHtTIkSMlSU2aNNGrr75qev+ZZ55RmzZtJEljxozR77//nutYF87j7++vrl275pmfNxs2bJiOHz8uh8OhuXPnun4fJalp06Z65ZXMOyX98ssvmjBhgkVZlnIJR6SMVHOsbDUWOQAwL1qAeREAYHsxu6UVz5hj4VWlO96U8vkOAQAAAADZfP109htO3fS0VPNqS9IBAAAAYGOsYdCsAQAArDd06FDXtp+fnwYNGpTvMYGBgerTp48k6aOPPspxH6fTqfvvv19nzpxx3R07NDTUtI+/v78WLFig8PBwpaSkqH///kpJSclxvIULF0qSOnfurGrVqrnzo3md999/X59//rkkadSoUerUqVO2fUaOHKlu3bpJkqZMmaKNGzeWaI6lXnK8lHzKHCsTllmIAICYF0sS8yIAwPbSU6Ulw6T0ZHO8+3QprKI1OQEAAACwr52fS78tMMdqt5Fu+I81+QAAAACwL9YwJNGsAQAAvMD999/v2u7SpYtq167t1nEX7gy+b98+bd68Odv7U6ZM0YYNGyRJEyZMUMuWLXMcp2HDhpo2bZokafv27Ro7dmy2faKjo7V+/XpJ0ogRI9zKz9vs2bNHjz32mCSpRYsWmjx5cq77RkVFqXLlyqYLe+EBGalS/CFzzOEnla/rM93iAPLHvFgymBcBAKXCmhekY9vMsWv/JV3S2Zp8AAAAANjXmaPSF4+YY4FlpZ4zJT9/a3ICAAAAYF+sYUiiWQMAAHiBHTt2uLaHDBni9nEtWrRQ165dJUkffPBBtvfHjh0rwzBkGEaOF5pmNWTIENe+U6dOzfZ+VFSUnE6nmjRpottvv93tHL3JJZdcosTERBmGoe3btysoKCjXfatWraqTJ0/KMAzt379fERERJZhpKWUY0umDkpFhjperJQXk/lkA8D3MiyWDeREAYHv7N0ibppljlZpInSdakw8AAAAA+3I6paUPSufjzfFbX5bK17MiIwAAAAB2xhqGC80aAADAcrNnz5YkVaxYUd27dy/QsRMnZn6Bmzdvng4ePOjx3CQpMTFRb7zxhiRp/Pjx8vPjKxQKISlGSk00x4IjpZAKlqQDwHsxLwIAgHwln868kErGPzG/MtLds6TAUMvSAgAAAGBTP0yX9q8zx5rfJV3Rz5J0AAAAANgYaxgmXFEBAAAsdeDAAS1evFiSNHjw4Dzvap2T1q1bq0+fPkpLS9PkyZOLI0W98847iouLU6tWrXTPPfcUyzlQyqWdy3x8eFZ+ZaRytSWHw5qcAHgl5kUAAJAvw5CW/0c6c8Qc7zROqn65NTkBAAAAsK/jO6TVF93dNqKmdPvrrGEAAAAAKBjWMLIJsDoBAADge6Kjo3Xu3Dnt379fTz/9tNLS0hQcHKxRo0YVarypU6eqWbNmCgoKktPp9PgdvsuWLavx48erZ8+ecvCP0igop1M6fVCmbnFJKl9X8ufrOADmRQAAUEDbP5H+WGKO1W8nXfewNfkAAAAAsK+0ZOmzYVJGapagQ+rxrhTKk8EBAAAAFBBrGNlwdRgAAChx/fv317p15kcpP/fcc6pZs2ahxqtVq5YmTJjggcxyNmLEiGIbGz7g7FEp/bw5FlZFCiprTT4AvA7zIgAAcNvpA9KXT5hjwZHSXe9KHm7QBAAAAOADvh0vxfxljl3/78yLqQAAAACgIFjDyBHNGgAAwDKhoaFq3LixRo0apYEDB1qdDuB5589ISTHmWECIFFHdmnwAeDXmRQAAkKeMdGnJv6TUs+b4HW9I5QrX5AkAAADAh+35Vtoy0xyr1kLq+Iw1+QAAAACwL9YwckWzBgAAKHFr1661OgWg+GWkSfEHLwo6pPL1JIfvdosDyI55EQAAuGXja9LhH82xK/tLl/awJh8AAAAA9pUUKy276Am6AcHS3R9IAUHW5AQAAADAvljDyBVXiQEAAACeZhhS/CHJmW6Ol6splQm2JicAAAAA9nX4J2ntFHOsfD2p20uWpAMAAADAxgxD+nyklHTSHL95klS5iTU5AQAAALAv1jDyRLMGAAAA4GnnYqWUM+ZYUIQUWsmafAAAAADY1/kz0pJhkpHxT8zhL/V8Xwoqa11eAAAAAOzpp1nS7m/MsUu6Sq2GWZMPAAAAAPtiDSNfNGsAAAAAnpSWLCVEm2N+AVJkHcnhsCYnAAAAAPb19Wjp9AFzrP1oqfa1lqQDAAAAwMZO/imtfMYcC6ssdX+bNQwAAAAABccaRr5o1gAAAAA8xXBKpw9KMszxyLqSfxlLUgIAAABgYzs+lbZ9ZI7Vbi3d+IQ1+QAAAACwr/QU6bNhUvp5c/yuGVJ4FWtyAgAAAGBfrGG4hWYNAAAAwFPOHJXSk82xsMpScIQ1+QAAAACwr/hD0vL/mGNBEVLP9yT/AGtyAgAAAGBfqyZKJ343x64dLl3SxZp8AAAAANgXaxhuo1kDAAAA8ITzZ6SkGHMsIFgqW8OafAAAAADYlzNDWjJcSkkwx2+bKpWvZ0lKAAAAAGzs79XSD++YY1WaS12esyYfAAAAAPbFGkaB0KwBAAAAFFVGmhR/8KKgI7MA8eMrNwAAAIAC2viadOh7c6xFH+nyPtbkAwAAAMC+kmKlZQ+ZY/5B0t2zpDLB1uQEAAAAwL5YwygQrhwDAAAAisIwMh/t50w3xyNqSGVCrMkJAAAAgH0d+VlaM9kci6wj3faqNfkAAAAAsC/DkD5/WEo8YY53eU6qeqk1OQEAAACwL9YwCoxmDQAAAKAozsVKKWfMsaCyUlhla/IBAAAAYF8pZ6XPhklGxj8xh5/U830puJx1eQEAAACwp59nS7u/NscadZZaD7cmHwAAAAD2xRpGodCsAQAAABRWWrKUEG2O+QVIkXUlh8OanAAAAADY11ejpdP7zbF2T0p12liTDwAAAAD7OvmXtGKsORZaSbprBmsYAAAAAAqONYxCoVkDAAAAKAynUzp9UJJhjkfWkfzLWJISAAAAABvb8am0baE5VquV1G60NfkAAAAAsK+089JnQ6X08+b4XdOl8CrW5AQAAADAvljDKDSaNQAAAIDCOHtUSk82x8Iq8Vg/AAAAAAV3+qC0/DFzLLCsdPcsyT/AmpwAAAAA2NeqCdKJ382xa/8lNe5qSToAAAAAbIw1jCKhWQMAAAAoqPMJUlKMORYQLJWtaU0+AAAAAOwrI11a8oCUcsYcv/01qXw9S1ICAAAAYGO7V0o/zjDHqjSXujxnTT4AAAAA7Is1jCKjWQMAANje3Llz5XA4dOmll8rpdHp8/FtvvVUOh0Pjx4/3+NiwoYw0Kf7QRUFHZgHix9drANZjXgQAwGbWvyId/tEcu7yvdHkfa/IBAAAAYF+JJ6XPR5hj/kHS3R9IZUKsyQkAAACAfbGGUWRcTQYAAGwtKSlJY8aMkSQ9++yz8iuGi+XHjRsnSXrllVd0+PBhj48Pe3A4HJowfrwUf1ByppvfLFczx0WOtWvXyuFwaO3atfmOHxMTo6ioKA0YMECXXXaZypYtq8DAQFWrVk233HKLZs6cqeTkZA/9NABKK+ZFlBSHw6EJEyYU6BjmRQDIwaEfpPUvm2ORdaVbX7UmHwAAAAD25XRKyx7K/mTwri9IVZtbkxMAAAAA+2INwyNo1gAAALb25ptv6tixY2rWrJn69Cmejt02bdqoS5cuSk5O1qRJk4rlHLCJtHNSyllzLChCCq1UpGHff/99Va9eXUOGDNH8+fP1xx9/KDExUWlpaTpx4oRWrFihBx98UFdccYW2b99epHMBKN2YF1EaMC8C8BnJ8dJnD0hGlidhOfwz73gbHGFZWgAAAABsastM6e9V5ljjW6RWw6zJBwAAAIB9sYbhMTRrAAAA20pOTtbUqVMlSY899lix3D38gscff1ySFBUVpejo6GI7D7zDkiVLdO7cuexvXNSosfGn7dp/OkNyOJSenq5PPvlEhmHkObZhGPrkk0+Unv7P0zlOnDihjIwMBQYGqmfPnnr33Xe1bt06/frrr1q8eLFuvvlmSdKePXvUuXNnHTlypOg/JIBSh3kRxSXXefEiGzdu1P79+yWJeREA8mMY0vLHpIRD5niHMVLtVtbkBAAAAMC+ju+Qvh1njoVXlbq/Izkc1uQEAAAAwJ5Yw/AomjUAAIBtLViwQHFxcQoKClLv3r2L9VydO3dWlSpVlJaWphkzZhTruXzB2rVr5XA45PDCBYJ9+/apd+/eat68uZYvX54ZdGb8/7uZF5yeOp2gB558Xu16DNbESS9KyvzzeM8996h9+/bauXNnjmPv3LlT7du31z333KMFCxa44mFhYXrqqad05MgRffbZZxo+fLjatWunq666Sr169dKKFSv0n//8R5IUExOj8ePHF88PD8DWmBfty3bz4kVOnTqlBx54QO3atdPEiRMlMS8CQL5+Wyj9scQcq9tWuuE/1uQDAAAAwL5Sz0mfDpUyUs3xHu9KYUV7MjgAAAAAH8QahkfRrAEAAGzrgw8+kCTddtttioyMLNZz+fv7q2/fvpKkOXPmyOl05nME7KpBgwZasWKFypcvrzvuuEN33323ov/6xfX+vMXL1bR9T83/7Cs9/vjjeuONNyRJ999/v2bMmKHdu3fryiuv1NixY5WcnCwp8273Y8eO1ZVXXqndu3drxowZuv/++11jPvbYY5oyZYoqV66ca16TJ09W9erVJWXe4Ty/O5UD8D3MiygOOc6LWZ6mMm/ePDVt2lTz589nXgQAd8X+LX31pDkWXE7q+Z7k529NTgAAAADsa8UYKXaXOXb9v6WGHa3JBwAAAIB9sYbhcTRrAACAEpOWlqZq1arJ4XCoW7du+e7/+++/u+4y/eKLL5reO3jwoH788UdJ0t13353j8XFxcapRo4YcDodq1KihuLi4XM/Vs2dPORwO+fn5aeXKlTnuc+E80dHR2rhxY775e6N//etfrt/ThQsX5rrfF1984dqvf//+JZhh0Xnic+/cubN++eUXRUVF6ccfflCz1pkLGlNnLtCgx8ar043X6a8/d+qVV15xXRDt7++vBx98UH///bdGjx6tadOmqU+fPpKkPn36aNq0aRo9erT+/vtvPfjgg/L3L1gBExgYqLZt20qS4uPj8/y5ANgD86L1mBfN3JoXf/xRzZo1kyRNnTpVgwYNUqdOnfTXX38xLwKAO9JTpc+GSGlJ5vgdb0rlalmTEwAAAAD72vm59Mscc6za5VLHcZakAwAAAMDGWMMoFjRrAACAElOmTBkNGDBAkrRy5UrTXZlzMnv2bEmZF/sNHDjQ9N7atWtd223atMnx+IoVK2ru3LlyOBw6duyYHnjggRz3++CDD7R06VJJ0iOPPKKbb745x/1atWrlupAw6/nt5I033lDjxo0lSSNGjNChQ4ey7XPixAkNGzZMklSnTh1Nnz69RHMsKk997n5+fhp0373atvIj1ayWeWfvxKRzevuFp/XRos9Ur36DHMcNDw/XpEmTtGbNGtddvg3D0Jo1azRp0iSFh4cX+mdLSUkx5QfA3pgXrce8+A+35sVBg7Rt2zbVrFlTkpSYmKi3335bH330kerVq5fjuMyLAHCR1ROlY9vMsasHSJfeZUk6AAAAAGws/rD0xb/NsTKhUq/ZUkCgNTkBAAAAsC/WMIoFK9kAALjL6ZSSYn3rl9Pp8d/GCxc7Op1OzZs3L9f90tLStGDBAknSzTff7Loo8IINGzZIkipUqKAGDXK+aF6SunTpolGjRkmSli5dqg8++MD0/t69e13vX3bZZZoyZUquY4WGhurSSy81nd9uQkNDtXDhQpUpU0YJCQm6//775bzocx4yZIhiYmLk5+en+fPnq1y5chZlW3ie+NwNp1Pz33tDV3bpoyPHTkqSwsNC9fB/p+i+wcNyvKBXkpKSkjR+/Hh16NBBDodDkuRwONShQweNHz9eSUlJOR6Xn7S0NG3evFmSVKVKFVWoUKFQ4wAe5WtzI/OiCfOifXhkXjQMzZ8/X1deeaWOHDkiKbMR4+GHH9Z9993HvAgA7vh7lbT5bXOsUmPpltznWwAAAADIkTNDWvIv6XyCOd7tZanSJdbkBAAAAMC+WMMoNgFWJwAAgG0kn5JeaWh1FiXryb1SWCWPDtm4cWO1a9dO69evV1RUlMaMGZPjfsuXL1dMTIwkaejQodne//777yVJV111Vb7nnDx5slavXq3t27fr0UcfVfv27dWoUSNlZGTovvvuU2JiooKCgvThhx8qODg4z7Fatmyp7du3a/PmzTIMw3XRYUFMmDBBEydOLPBxWdWtW1cHDhwo1LEtW7bUxIkTNXbsWK1fv14vv/yynn76aUnSO++8o6+++kqS9NRTT6ldu3ZFytNKRfnc165dq8cfe0S//rZDPbp10JvPjVbtVt30+Mhhqt/sKj3x5JP67LPPNGrUKI0ZM0YRERFyOp2KiorSs88+q9jYWD3++ONq166dbr31Vi1atEjr16/X5MmT9f777+v555/X4MGDC3QX8Pfee0+xsbGSpN69e3v09wooNF+bG5kXs2FetI8iz4uPP65ff/1VPXr00JtvvqnatWvr8ccfV/369fXEE08wLwJAfhJjpKUPmWP+gdLdH0iBYdbkBAAAAMC+1r8qHfreHLu0p3TVfdbkAwAAAMC+WMMoVjxZAwAAlLgLdxHfs2ePNm3alOM+UVFRkqRKlSrpjjvuyPb+hTs6V6lSJd/zBQUFaeHChQoODlZSUpL69++v9PR0Pf/88/rhhx8kZV7AePnll+c71oXzJSUlKT4+Pt/9vVXWC07HjRunX375RX/99ZeefPJJSf9cuGpnhf3c9+3bp06dOikuNlb/m/OGlsyaqlo1qma+GVxOAwcN0q5du9S/f3+99NJLeuSRRyRJ8+bN07Bhw9SoUSP99ttvmjx5skJCQiRJISEhmjx5sn777Tc1atRIw4YNy/MO+hfbt2+f/vvf/0rKvIv52LFji/rbA8CLMC9aj3nRjXkxLk7/+9//tGTJEtWqVcv1/sCBA5kXASA/Tqe07CEp6aQ53uU5qXr+8y0AAAAAmBz6QVp30d1ty9WRbn9dKsTNVAAAAAD4MNYwih1P1gAAACWuV69eeuSRRxQfH6+oqCi1bdvW9P6JEyf09ddfS5Luu+8+BQYGmt5PSUnR2bNnJUnly5d365yXXnqpXnrpJT366KPasmWL7r33Xi1dulSS1LlzZ40aNcqtcSpUqODajomJcfv8WY0YMUK9evUq8HFZXfx7UlB+fn6aP3++rrjiCsXHx6t///4KDQ1VcnKyQkND9eGHH6pMmTJFOoc3KMzn3qBeHS16b6q63XStQv//olIXR2avc4UKFTRr1iwNGjRINWvWlJT5ZzU4OFh9+/bN9c7yzZs317p16/TJJ5+4/Wfg3Llz6tmzpxISMh9l/tZbb6lGjRpuHQvAHpgXmRdLSqHmxQYNtGjRInXr1k2hoaE5jsu8CAD5+PFd6e9vzbFLbpZaP2hNPgAAAADsKzle+myYZDj/iTn8pbtnSSGRVmUFAAAAwK5Ywyh2NGsAAIASFxISonvvvVfTp0/XokWLNG3aNIWF/fPItPnz5ys9PV2SNGTIkGzHnzp1yrVdkItC//3vf+vrr7/WN998o8WLF0vKvLhw7ty5uV5EeLGs54uLi3P73FlVqVLFrTufF7c6depoxowZ6tevn3bt2uWKv/baa2rSpEmRx69Xr54OHjyY7355/d6PHz9eEyZMKFIeBfrcDUOKP6y7u7U3x8tWz3HsG264wbUdEBCge+65J998HA6HW/tJUnp6unr37q1t27ZJkoYPH65Bgwa5dSwA+2BeZF7Myqvmxf939913uzU28yIA5ODYNmnVeHMsrIrUfTp3vAUAAABQMIYhLR8lJRw2x296WqrT2pKUAAAAANgYaxglgmYNAADcFVJBenKv1VmUrJAK+e9TSA888ICmT5+us2fP6rPPPtOAAQNc70VFRUmSWrVqpRYtWmQ7Njg42LWdnJzs9jkdDodmzpyp+vXry+nMvOPQm2++WaC7MWc9X8jFT12woXvuuUezZs3S6tWrJWXeVXv48OEWZ+VZBfrcz8VJ5+PNscBwKbxq8Sd6EcMwNGjQIH311VeSpN69e2v69OklngeQJ1+bG5kXs2FetB9PfO5WYF4EYEspidKnQ6SMVHO8x7tSeGVrcgIAAABgX1vnS38sNcfqtpVufNyafAAAAADYF2sYJYZmDQAA3OXnJ4VVsjqLUuPKK69Uy5Yt9csvvygqKsp1UeqPP/6onTt3Ssr57uGSFBkZqYCAAKWnp5vuJu6Ot99+23VhoiStXLlS/fv3d/v4rOerXLlwX0xPnjypkydPFurYCwIDA9W4ceMijSFJv/32mzZs2OB6vW3bNp04cUJVqxa9OWHlypVKTU3N8b2ffvrJ9fnu2LEj1zE8dad1tz73tPNSQrQ55vCXIutKDocMwyjweW+66aZCHSdJI0eO1IcffihJ6tatmz788EP5+fkVaiyg2DA3egzzIvOi182L+WBeBAA3fP2UFPe3OXb9v6VGnazJBwAAAIB9xeySvhptjgVHSj3fk/z8LUkJAAAAgI2xhlFiaNYAAACWGTZsmH755RetW7dO+/btU4MGDVx3Dw8JCVG/fv1yPM7hcKhSpUo6fvy4Tp8+7fb51q5dq6lTp0qSIiIidObMGc2bN0+33367evfu7dYYWc9XqVLhLlCePn26Jk6cWKhjL6hbt64OHDhQpDHOnz+v/v37KzU1VWFhYUpOTlZMTIyGDh2q5cuXF2lsSXleNBsbG+vavuyyy4p8rry49bk7ndLpA5Kc5oMj60gBgcWaX06eeuopzZgxQ5LUrl07ffbZZypTpkyJ5wGgZDEvFh7zovs88bmXNOZFALa041PptwXmWPUrpY7jLEkHAAAAgI2lnc+84236RU/VvfMtqVwta3ICAAAAYF+sYZQobkEIAAAsc++99yo0NFSGYWju3LlKTk7Wxx9/LEnq2bOnypUrl+uxLVq0kCTt3r3brXPFx8drwIABcjqdqlKlirZu3apGjRpJkh588EFFR0fnM4JM52vcuLGCgoLcOsZbPfnkk667tb/zzjt68sknJUlffvml64JIu3P7cz97NPsiR2glKSSyZBOWNGnSJL388suSpFatWmn58uUKCQkp8TwAlDzmRWsxL7r/uZck5kUAtnRqv7T8MXMsMFzqNduSZnAAAAAANvftOOnE7+bYNUOl5ndakw8AAAAA+2INo8TRrAEAACwTERGhPn36SJLmzp2rTz/9VAkJCZKkoUOH5nnsjTfeKEnatWuXzp49m++5HnroIR0+fFiSNHv2bDVo0EALFixQQECATp06pUGDBskwjHzH+fnnn03nL4wJEybIMIwi/Srq3cO/+eYbvf3225Kk3r17a+DAgXr++ed19dVXS5KeeOIJ7dq1q0jn8AZufe7n4qWkGPOBAcFSRM0Sz3fatGl69tlnJWVeeP3NN9+obNmyJZ4HAGswLzIvFjdPfe4lhXkRgC1lpEmfDZNSzpjjt70mVWxoTU4AAAAA7Ouvr6QtM82xKs2lri9Ykw8AAAAA+2INwxI0awAAAEsNGzZMknTw4EGNHj1aklS/fn3ddNNNeR534aJQp9PpulA0NwsWLHDdmfyhhx7SbbfdJklq3bq1nnnmGUnSqlWr9MYbb+Q5zr59+xQbG2s6vx3FxsZq8ODBkqSaNWtq5szMf+QvU6aMPvzwQ4WEhOjcuXPq37+/0tLSrEy1SNz+3F+5eEHDIZWvJ/mV7FflqKgoPfZYZud648aN9e2336pChQolmgMA6zEvljzmxYJ97iWFeRGAba15QYq+aC6+op90RV9r8gEAAABgX2eOSp+PMMcCgjPveFuGJ48CAAAAKCDWMCxBswYAALBU27Zt1axZM0nS8ePHJUmDBw+Ww+HI87jrr79e5cuXlyStXr061/0OHjyokSNHSpKaNGmiV1991fT+M888ozZt2kiSxowZo99//z3bGBdcOI+/v7+6du2aZ37ebNiwYTp+/LgcDofmzp3r+n2UpKZNm+qVV16RJP3yyy+aMGGCRVkWTYE+98lv6ve//v7nzXK1SnyRY9myZXrggQdkGIYiIiI0bdo0xcTE6Pfff8/1V1JSUonmCKBkMC+WPObFgn3uJYF5EYBt7V0jbXzDHKvQQLr1FUvSAQAAAGBjzgzpswek5NPm+C2TpSrNrMkJAAAAgH2xhmEZmjUAAIDlhg4d6tr28/PToEGD8j0mMDBQffr0kSR99NFHOe7jdDp1//3368yZM667Y4eGhpr28ff314IFCxQeHq6UlBT1799fKSkpOY63cOFCSVLnzp1VrVo1d340r/P+++/r888/lySNGjVKnTp1yrbPyJEj1a1bN0nSlClTtHHjxhLNsajc/tzffV3hYaFKSUlV/4f/q5SUVCm4nBRascRzXrZsmTIyMiRJZ86cUbdu3dSiRYs8f/30008lnieAksG8WHKYFzMV5HMvCcyLAGwpMUZaOlyS8U/Mr0zmHW+DylqWFgAAAACb2vCadPCif4dqdqfUcrA1+QAAAACwL9YwLEWzBgAAsNz999/v2u7SpYtq167t1nEX7hC9b98+bd68Odv7U6ZM0YYNGyRJEyZMUMuWLXMcp2HDhpo2bZokafv27Ro7dmy2faKjo7V+/XpJ0ogRI7K9bwd79uzRY489Jklq0aKFJk+enOu+UVFRqly5sukCT7tw63NPSVTDykGa9twTkqTtf+7R2JdmSJF1pHzuXg8AxY15sWQwL5q587kDAHLhdErLHpIST5jjXSZKNa6yJicAAAAA9nXoB2ntRf9WVa62dOebrGEAAAAAKBjWMCznMAzDyH83lIQjR464LsI5fPiwatWqZXFGAOA79uzZo/T0dAUEBOiSSy6xOh2fs3r1anXu3FmS9Mknn7juDO6OW265RStWrNDQoUM1a9as4kpRkyZN0rPPPqsmTZpo586d8vOj59W2MtKl2F1SRqo5XvESKSjcmpxKSGH+ruM7qr0V5fNjbrQO8yJQcvi7DoBHfP+2tPK/5lijLtK9iyTmyGyoMeyLzw4AAKAEnDslzWwnJRz+J+bwlwZ/JdVpY11eXorvqPbG5wcAAFACWMMokOL4jsrvMgAAsNzs2bMlSRUrVlT37t0LdOzEiRMlSfPmzdPBgwc9npskJSYm6o033pAkjR8/ngtS7cwwpIRD2Rs1ylYv9Y0aAOyDeREAABuJ/kVaNcEcC68q3TWDRQ4AAAAABWMY0hf/NjdqSNJNT9OoAQAAAKDgWMPwCvxOAwAASx04cECLFy+WJA0ePFhBQUEFOr5169bq06eP0tLSNHny5PwPKIR33nlHcXFxatWqle65555iOQdKyLlY6XyCORYYnlmIAIAXYF4EAMBGzp+RPh0iOdOyBB1Sz/ek8MqWpQUAAADApn6aJf213Byrd6N04+PW5AMAAADAvljD8BoBVicAAAB8T3R0tM6dO6f9+/fr6aefVlpamoKDgzVq1KhCjTd16lQ1a9ZMQUFBcjqdHr/Dd9myZTV+/Hj17NlTDofDo2OjBKWdkxKizTG/AKl8XYnPFYCFmBcBALAhw5CWj5JOHzDHb/yP1OAmCxICAAAAYGvHd0gr/muOhVaUer4v+flbkxMAAAAAe2INw6sU65M1Tp48qeXLl2vcuHHq1q2bKlWqJIfDIYfDoUGDBnnkHGvXrnWN6e6vm266Kcex6tWr59bx9erV80juAAD4qv79+6tx48bq2rWrtm7dKkl67rnnVLNmzUKNV6tWLU2YMEFjxozx+AWpkjRixAhNmDBBl19+ucfHRglxZkinDkgyzPHIOpJ/oBUZoRCoL1BaMS8CAGBDWxdIv39mjtVuLd00xpp8UCjUGAAAAPAKqUnS4sFSRoo5ftcMKaK6NTmhUKgxAAAA4BVYw/AqxfpkjapVqxbn8IXWpEkTq1MAAACSQkND1bhxY40aNUoDBw60Oh2UZmeOZF/kCKssBZezJh8UCvUFSjvmRQAAbCJml/T1aHMsuJx09yzJv4w1OaFQqDEAAADgFb4eLcXtMcfajJQad7UmHxQaNQYAAAAsxxqG1ynWZo2sateurWbNmmnlypUeHbdVq1basWNHvvs9/PDDWrdunSTle9FL9+7dNWnSpFzfDwzk7ssAABTF2rVrrU4BvuTcqcxfWZUJkSJqWJMPPIL6AqUJ8yIAADaSlix9OkRKO2eO3/lW5pP7YFvUGAAAALDE9sWZd73NqvqVUufxlqQDz6HGAAAAQIljDcMrFWuzxrhx49SqVSu1atVKVatW1YEDB1S/fn2PniMsLEyXXXZZnvvEx8frhx9+kCQ1atRI119/fZ77R0ZG5jsmAAAAbCD9vJRw2Bxz+Enl62X+F7ZCfQEAAADLrXxGOvG7OXbNUKl5d2vyQZFQYwAAAMBScXul5Y+ZY4HhUq/ZUkCQNTmhSKgxAAAAYCnWMLxSsTZrTJw4sTiHd9snn3yilJQUSdL9999vcTYAAAAoEYZTOn0g879ZlastBQRbkhKKhvoCAAAAltr5ufTTLHOsyqVS1xesyQdFRo0BAAAAy6SnZN7xNvWsOX7761LFhtbkhCKjxgAAAIBlWMPwWj5xO+F58+ZJkhwOB0UIAACArzhzNPPxflmFVJBCK1iTD0oN6gsAAAAfdPqg9Pm/zbGAkMw73pYJsSYnlBrUGAAAAD5o1QTp2G/m2JX9pcv7WJENShlqDAAAAB/DGoZXK/XNGnv37tX3338vSbrxxhs9/nhBAAAAeKHzCVJSjDnmHySVq2VNPig1qC8AAAB8UEaa9NlQKSXBHL/1ZalKU2tyQqlBjQEAAOCDdn0t/TDdHKt4idTtZWvyQalCjQEAAOBjWMPwegFWJ1DcLnSLS9LAgQPdOmb9+vW6/PLLtXfvXhmGoapVq+raa69Vv3791L17dzkcjkLlcuTIkTzfP3bsWKHGBQAUnb+/v9LT05WRkSHDMAr9dz0AL5CemtkxbuKQKtSX/PwtSckbGIahjIwMSZKfX6nv2S423lRfSMVbY1z4c8LcCKC0yjo3+vv77ncEAG747nnpyE/m2GW9pKu4OymKzptqDNYwAAAASkDCEWnZQ+aYf5DUe44UFG5JSihdqDEAAAB8DGsYXq/UN2ssWLBAkhQSEqJevXq5dcz+/ftNrw8cOKADBw5o0aJFatu2rT755BPVrFmzwLnUrl27wMcAAEpGYGCgUlJSZBiGzp07p7CwMKtTAlAYhiHFH5CMDHO8XE2ff6zfhb/jpMy/81A43lRfSMVbYwQGBio1NVWGYSglJUXBwcHFdi4AsMK5c+eYGwHkb88qadM0c6x8fen21yWaWeEB3lRjsIYBAABQzDLSpc+GScmnzfFbXpSqXWZNTih1qDEAAAB8CGsYtlCqmzU2bNigffv2SZJ69OihiIiIPPcPDAzUnXfeqZtvvlmXXXaZypUrp/j4eG3evFkzZszQ4cOHtWnTJnXp0kWbN29WuXLlSuLHAACUgIiICJ09e1aSdOrUKYWGhnIHccCOzh6TUpPMseByUmgla/LxImfOnHFt05BWOL5WX4SFhSkxMVFS5p8fmjUAlCaGYejUqVOu1/n9nQ7AR505Ji0dbo75lZF6R0nB/L2BovO1GgMAAMDnrZsiHdpsjjW7U7pmqDX5oNShxgAAAPAhrGHYRqlu1pg/f75re8CAAfnuv2XLFkVGRmaL33TTTXr44YfVq1cvrVy5Un/++acmTpyo1157rUD5HD58OM/3jx07pmuvvbZAYwIAPCM8PFwOh0OGYSgxMVFHjhxRhQoVaNoA7OT8GSnxhDnmHyhF1vHpbvGMjAzFx8crLi7OFQsP51HqheFt9YVUvDVGeHi4TpzI/H8qLi5O/v7+ioyMlL+/f6HGAwBvcOFJeqdOnXI1pDkcDuZGANk5M6QlD0jnYs3xm5+XalxlTU4odbytxmANAwAAoBjtXSOtf9Uci6wj3fmWT69hwLOoMQAAAHwEaxi2UmqbNVJSUrR48WJJUo0aNdS5c+d8j8mpALmgbNmyWrRokRo2bKi4uDi99957mjJligIDA93OqVatWm7vCwAoWX5+fqpZs6aio6NdDRuJiYlyOBxclArYgWFIqYmSDHO8jL90Zn+Oh/gCwzCUkZFhilWuXLlA32GRyRvrC6l4a4zAwEBVrlxZMTExkqSTJ0/q5MmT8vf3p5ERgG1lZGTIMP75vuBwOFSzZk35+flZmBUAr7T+VenABnOsya1S6wetyQeljjfWGKxhAAAAFJPEk9KSf8m0huEXIPWKkkIircoKpQw1BgAAgA9hDcNWSm2zxueff674+HhJUv/+/T1yoW25cuV0zz336J133lFSUpJ+/vlnXX/99UUeFwDgHcqWLWtq2JAyL3ROT0+3ODMAeTIMKSlGSj9vjodESv6G5OT/4QvKlSunihUrWp2GLflqfVGxYkWlpqYqISHBFbu4AQgA7OpCo0bZsmWtTgWAtzmwSVo3xRyLqCV1f4c73sJjfLXGAAAA8DlOp7R0uJR00hzvNF6qdY01OaFUosYAAADwEaxh2E6pbdaYN2+ea9udR/u5q3nz5q7t6Ohoj40LAPAOZcuWVePGjZWYmKgzZ84oNTWVi1IBb3d6vxT7tzkWVkmq1MCafLyMv7+/QkNDFRkZqeDgYKvTsS1frS8cDodq1KihChUqKD4+XufOnWNeBGBr/v7+CgwMVEREhMLDw3miBoDskmKlz4ZKhvOfmMNf6vWBFFrBurxQ6vhqjQEAAOBzNr0u7f3OHGvURbruYWvyQalFjQEAAOADWMOwpVLZrHHy5EmtWLFCknT11Vfrsssu89jYF+60DgAovfz8/BQREaGIiAirUwGQn4Obpa/vkYwsF4+HV5Me2pTZsAF4APWFFBwcrGrVqlmdBgAAQPFyOqWlD0pnj5njHcZKddpYkxNKJWoMAAAAH3Fws/TdC+ZYeDWpx7sSN5CAB1FjAAAA+ADWMGyrVFZ/CxcuVHp6uiTPdotL0s6dO13bNWrU8OjYAAAAKIBzp/6/WzxLo4bDL7NbnEYNeBD1BQAAgI/4/k3p72/NsQYdpBv+Y00+KLWoMQAAAHwAaxgoQdQYAAAAPoA1DNsqlc0aFx7tFxAQoHvvvddj4yYkJOiTTz6RJIWGhuqaa67x2NgAAAAoAMPI7BY/c9Hjlm8aI9W7wZqcUGpRXwAAAPiAQz9Kq58zx8KrSj3f44638DhqDAAAgFKONQyUMGoMAACAUo41DFvz+k9ozpw5cjgccjgcmjBhQr77//HHH9q6daskqVu3bqpcubJb5/nmm2+UnJyc6/tnz55Vnz59FBcXJ0kaOnSogoKC3BobAAAAHrb5bWnPCnOsfjvpxsetyQe2QX0BAACAbHK6460cUs/3pfAqlqUFe6DGAAAAQDasYaAIqDEAAABgwhqG7QUU5+AbN27U33//7XodGxvr2v777781Z84c0/6DBg0q8jnnzp3r2h44cKDbx02ZMkX9+/dXz549dcMNN6hhw4YKDw9XfHy8Nm/erBkzZujw4cOSpCZNmrhVEAEAAKAYHPlZWjXBHAurLPWcJfn5W5ISSgb1BQAAADzOMKTPR0oJh83x9k9JDdpbkxNKDDUGAAAAPI41DJ9GjQEAAACPYg2jVCjWZo1Zs2aZioKsNm3apE2bNpliRS1CnE6nFi5cKEkqX768br/99gIdf+rUKc2aNUuzZs3KdZ927dpp4cKFqlChQpFyBQAAQCEkn5YWD5ac6VmC/98tXraqZWmhZFBfAAAAwON+fFfa9ZU5Vu9Gqf1oa/JBiaLGAAAAgEexhuHzqDEAAADgUaxhlArF2qxR0lavXq3o6GhJUt++fQv0+L1XX31Vq1ev1ubNm7Vr1y7FxsYqPj5eoaGhqlGjhlq3bq1+/frp5ptvlsPhKK4fAQAAALkxDOmLf0sJh8zxdk9IDTtYkxNKNeoLAACAUi76V2nls+ZYaKXMC6m44y2KATUGAABAKcYaBixAjQEAAFCKsYZRajgMwzCsTgKZjhw5otq1a0uSDh8+rFq1almcEQAAgBf5cab09UWd4XWulwb+T/IvVT3IXoXvqPbG5wcAAJCL5HhpZjsp/qA5ft9nUqPOlqTkK/iOal98dgAAAHlgDcMSfEe1Nz4/AACAXLCGYZni+I7qV+QRAAAAgOIW/au04r/mWEgF6e5ZLHIAAAAAKBjDkL54OPsixw2PscgBAAAAoOBYwwAAAADgKaxhlDo0awAAAMC7JcdLiwdJzjRzvMdMqVxNKzICAAAAYGdb3pP+/J85VruN1OEZa/IBAAAAYF+sYQAAAADwJNYwSh2aNQAAAOC9cusWbztKanyzJSkBAAAAsLHc7njb6wPueAsAAACgYFjDAAAAAOBJrGGUSjRrAAAAwHtteT/nbvGOdIsDAAAAKKA873hby4qMAAAAANgZaxgAAAAAPIU1jFKLZg0AAAB4p+hfpZW5dYuXsSYnAAAAAPZkGNIX/+aOtwAAAAA8gzUMAAAAAJ7CGkapRrMGAAAAvM+FbvGMVHOcbnEAAAAAhbHlfenPL8wx7ngLAAAAoDBYwwAAAADgSaxhlGo0awAAAMC75Not/ijd4gAAAAAKLsc73pbnjrcAAAAACo41DAAAAACexBpGqUezBgAAALzLlvdy6BZvLXV81pp8AAAAANhXcrz06WDueAsAAADAM1jDAAAAAOAprGH4BJo1AAAA4D2if5FW5NQtPptucQAAAAAFYxjS5yOl0wfM8baPSo27WpISAAAAABtjDQMAAACAp7CG4TNo1gAAAIB3SD4tLR4kOdPMcbrFAQAAABTGj+9Kfy03x7jjLQAAAIDCYA0DAAAAgCexhuEzaNYAAACA9QxDWjZSij9kjrcdRbc4AAAAgII78rO08qIFjZAK3PEWAAAAQMGxhgEAAADAk1jD8Ck0awAAAMB6m9+Rdn1pjtW5jm5xAAAAAAV37lTOd7zt+R53vAUAAABQcKxhAAAAAPAU1jB8Ds0aAAAAsNbhn6RV482x0Ir/3y0eYE1OAAAAAOzJMKRlI6SEw+b4Df+RLuliTU4AAAAA7Is1DAAAAACewhqGT6JZAwAAANZxdYunZwk6MrvFI2pYlRUAAAAAu/r+LWn31+ZY3bZSh/9akw8AAAAA+2INAwAAAIAnsYbhk2jWAAAAgDWcTmnpcOnMEXO83RNSo87W5AQAAADAvg79IK2aYI6FVpLu/oA73gIAAAAoGNYwAAAAAHgSaxg+i2YNAAAAWOP7adKeleZYvRulm8ZYkw8AAAAA+0qKkz4dIhkZWYIO6e5ZUkR1y9ICAAAAYFOsYQAAAADwFNYwfBrNGgAAACh5BzZJq583x8KqZBYhfv7W5AQAAADAnpxOackD0ploc7z9aKlhB2tyAgAAAGBfrGEAAAAA8BTWMHwezRoAAAAoWYknc+kWf18qW82ytAAAAADY1IZXpb2rzbH67aT2T1mTDwAAAAD7Yg0DAAAAgCexhuHzaNYAAABAyXFmSJ8NlRKPm+MdxkoNbrIkJQAAAAA2tm+ttOZFcyy8qnT3B9zxFgAAAEDBsIYBAAAAwJNYw4Bo1gAAAEBJWjtF2r/eHGvYUbrxCWvyAQAAAGBfZ45Jnw2TZPwTc/hJvWZL4VUsSwsAAACATbGGAQAAAMBTWMPA/6NZAwAAACXj71XS+lfMsbI1pJ7vS358LQUAAABQABnpmXe8TYoxxzs+K9W7wZqcAAAAANgXaxgAAAAAPIU1DGRBRQkAAIDil3BE+uwBmbrF/QKk3nOksEpWZQUAAADArr57Xjq4yRy7pKvUdpQl6QAAAACwMdYwAAAAAHgSaxjIgmYNAAAAFK+MNGnxYCn5lDneeYJUp7UlKQEAAACwsV3fSJveMMfK1ZZ6vMsdbwEAAAAUDGsYAAAAADyJNQxchE8dAAAAxWvVBOnIFnOsyW3SdQ9bkg4AAAAAGzt9UFo63BzzK5N5x9vQCpakBAAAAMDGWMMAAAAA4CmsYSAHNGsAAACg+Oz8Qtr8tjkWWVe6a7rkcFiTEwAAAAB7Sk+RFg+Uzseb4zdPkmpdY0lKAAAAAGyMNQwAAAAAnsIaBnJBswYAAACKR9xe6fOR5ph/oNRnrhQSaUlKAAAAAGxsxVjp6FZzrPldUuvhOe4OAAAAALliDQMAAACAJ7GGgVzQrAEAAADPS0uWFg2QUs6Y47dMkWpcZU1OAAAAAOxr+2Lpp1nmWIWG0p1vccdbAAAAAAXDGgYAAAAAT2INA3mgWQMAAACe99UT0onfzbHL+0rXDLEmHwAAAAD2dfIv6X+PmmMBIVLf+VJwhDU5AQAAALAv1jAAAAAAeAprGMgHzRoAAADwrF/nS1sXmGOVm0m3v063OAAAAICCSUnMvONtWpI5fvtrUtVLrckJAAAAgH2xhgEAAADAU1jDgBto1gAAAIDnHN+ReUeqrMqESX3mSYFh1uQEAAAAwJ4MI/NuVLG7zPGrB0hX3mtNTgAAAADsizUMAAAAAJ7CGgbcRLMGAAAAPON8Qma3ePp5c/zON6XKja3JCQAAAIB9/fyB9Pun5li1FlK3l63JBwAAAIB9sYYBAAAAwJNYw4CbaNYAAABA0RmG9PlI6dQ+c/zaf0ktelmTEwAAAAD7iv5F+maMORZULvOOt2VCrMkJAAAAgD2xhgEAAADAk1jDQAHQrAEAAICi2/y29Of/zLGaLaWbJ1mTDwAAAAD7OndKWjRQykg1x++aLlVoYE1OAAAAAOyLNQwAAAAAnsIaBgqIZg0AAAAUzcHvpW/Hm2Mh5aXec6SAIEtSAgAAAGBTTqe05AEp4bA5fv2/pWa3W5MTAAAAAPtiDQMAAACAp7CGgUKgWQMAAACFd/aEtHiQZGRkCTqknu9LkXWsygoAAACAXa1/Rfp7lTlW53qp0/ic9wcAAACA3LCGAQAAAMCTWMNAIdCsAQAAgMLJSJc+HSwlnjDH24+WLuliTU4AAAAA7OvvVdLayeZYWBWpd5TkX8aanAAAAADYE2sYAAAAADyJNQwUEs0aAAAAKJzvnpMObjLHGnaU2j9lTT4AAAAA7Cv+sPTZA5KMf2IO/8xFjrLVLEsLAAAAgE2xhgEAAADAU1jDQBHQrAEAAICC+/N/0qZp5lhELannLMnP35qcAAAAANhTeoq0eKCUfMoc7zxeqneDNTkBAAAAsC/WMAAAAAB4CmsYKCKaNQAAAFAwcXulZSPMMb8yUp95UlhFa3ICAAAAYF8rxkrRv5hjTW+Xrn/EmnwAAAAA2BdrGAAAAAA8iTUMFBHNGgAAAHBf6jlp0QAp5Yw5fstkqVZLa3ICAAAAYF/bF0k/zTLHKjSQ7pouORzW5AQAAADAnljDAAAAAOBJrGHAA2jWAAAAgHsMQ/ryP9KJ383xFn2kVsOsyQkAAACAfZ3YKf3vUXMsIETqM18KLmdNTgAAAADsiTUMAAAAAJ7EGgY8hGYNAAAAuOfn2dK2j8yxys2kO96gWxwAAABAwZxPkD65T0o7Z47f/ppU7TJrcgIAAABgX6xhAAAAAPAU1jDgQTRrAAAAIH9HfpG+edocCywr9Z0vBYZZkxMAAAAAezIMadkI6dRec7zlIOnKey1JCQAAAICNsYYBAAAAwFNYw4CH0awBAACAvCXFSYsGSBmp5vhd70iVLrEmJwAAAAD2tWma9Ndyc6zGVdItL1mTDwAAAAD7Yg0DAAAAgCexhgEPo1kDAAAAuXNmSJ8Nkc4cMcev/7fUvLs1OQEAAACwr/3rpdUTzbGQ8lKfeVKZYGtyAgAAAGBPrGEAAAAA8CTWMFAMaNYAAABA7ta8KO1ba47VvUHqNMGKbAAAAADY2Zmj0qdDJMOZJeiQ7v5AiqxjWVoAAAAAbIo1DAAAAACewhoGignNGgAAAMjZrq+lDa+aY+HVpF6zJf8Aa3ICAAAAYE/pqdKigVJSjDneYazUqJM1OQEAAACwL9YwAAAAAHgKaxgoRjRrAAAAILtT+6Qlw80xvwCpz1ypbFVrcgIAAABgXyufkY5sMccu6Srd+IQ1+QAAAACwL9YwAAAAAHgSaxgoRjRrAAAAwCz1nPTJACklwRy/eZJUp401OQEAAACwr+2LpS0zzbHIulLPmZIf/0QNAAAAoABYwwAAAADgSaxhoJjxpwgAAAD/MAxp+SjpxA5z/NKeUusHLUkJAAAAgI0d/1364t/mWECw1He+FFLempwAAAAA2BNrGAAAAAA8iTUMlACaNQAAAPCPn2ZJ2z8xxyo3le58S3I4rMkJAAAAgD0lx0uf3CelJ5vjt02Vql9hSUoAAAAAbIw1DAAAAACewhoGSgjNGgAAAMh06Efpm6fNscCyUt8FUlC4NTkBAAAAsCenU1o6XDq93xxvOVi66j5rcgIAAABgX6xhAAAAAPAU1jBQgoq1WePkyZNavny5xo0bp27duqlSpf9j787Do6zPNY7fM1khkIR9S9gSQRBFZBNZJCgiyir7Kq4o0B5bezy1rVtrW23V1lbABRTZdwFRAcEQdgVUQEE0gUACIZBAIGRPZs4fKdSXZCAJM/POm3w/19XrSp/5ZXJbWpsnt7+8dWWz2WSz2TRp0iS3fZ0XX3zx8vte61+bN2++5vulp6frhRdeUPv27RUWFqbQ0FC1b99eL7zwgtLT092WGwAAwGdkpkrLHpQchcb50JlS3RvMyQRcgf0CAADAQra+Lv24zjhr0lHq/6o5eYBSsGMAAABYBB0GLIIdAwAAwCLoMOBF/p588wYNGnjy7T1i9+7dGjx4sFJSUgzz/fv3a//+/Zo1a5ZWr16tTp06mZQQAADAzYoKpOUPSZnG73/U41dSm4HmZAJKwX4BAABgET9tlGL/bJxVryuNnCv5B5mTCSgFOwYAAIAF0GHAQtgxAAAALIAOA17m0csaPxcZGak2bdpow4YNHv06Bw4cuOrrLVq0cPnaiRMnNHDgQKWmpsrf31+//vWvNWDAAEnS2rVr9cYbb+jkyZMaMGCA9u7dqyZNmrg1OwAAgCk2vigd226ctewt9XnOjDRAmbBfAAAA+KhzidKKRyQ5/zuz2aXh70thEWalAq6JHQMAAMBH0WHAotgxAAAAfBAdBkzg0csazz//vDp37qzOnTurQYMGSkxMvOoS4A7t2rWr8Of+/ve/V2pqqiRp4cKFGjFixOXXevbsqU6dOmnkyJFKTU3Vc889p/fff/+68wIAAJjqu5XSzreMs9AIadhsye5nTibABfYLAAAAH1eQIy2ZIOVmGOd3vSC1vNOUSMDVsGMAAAD4ODoMWAw7BgAAgA+jw4BJ7J5885deekkDBgywxGP+UlNTNX/+fElSv379DAvIJSNGjFC/fv0kSXPnzr28sAAAAFhS6kFp9TTjzC9QGjVXCqlrTibgKtgvAAAAfJjTKa39tXRqv3HeZqDU/X/MyQRcAzsGAACAD6PDgAWxYwAAAPgoOgyYyKOXNaxkzZo1KioqkiQ99NBDLs9NmjRJklRUVKQ1a9Z4IxoAAID75WRIS8ZLBVnG+X1/l5p0NCUSUJmwXwAAgCpnz2xp30LjrG4rafAMyWYzJxNQibBjAACAKoUOA/A4dgwAAFCl0GHARFzW+I+tW7de/vjOO10/zubnr23bts2jmQAAADzC4ZA+miydTTDOO0yQOk4yJRJQ2bBfAACAKuX4l9JnvzXOAmtIo+ZLwaHmZAIqGXYMAABQZdBhAF7BjgEAAKoMOgyYzN/sAO7Wt29fff3118rMzFR4eLjatm2re++9V5MnT1atWrVcft6hQ4ckSWFhYWrYsKHLc40aNVJoaKguXLhw+XPKKjk5+aqvp6SklOv9AAAAKmTL36Uf1xlnjTtI971mTh7Ah/nyfiGxYwAAAB+QeUpaOlFyFBjnQ2ZI9VqbkwnwYb68Y7BfAAAAn0CHAZQLOwYAAMBV0GHAB1S6yxobN268/PGZM2cUFxenuLg4vfrqq5ozZ44GDx5c6uclJSVJkiIiIq75NSIjI/X9999f/pyyioyMLNd5AAAAt/txvbT5r8ZZ9TrSyHlSQLA5mQAf5sv7xaXPBQAAME1hvrT0QeniKeO8+1NS29K/TwKqOl/eMdgvAACA6egwgHJjxwAAAHCBDgM+otJc1rj55ps1ZMgQdenSRY0bN1ZBQYEOHz6sBQsWaMOGDcrIyNCwYcP08ccfq3///iU+PzMzU5JUo0aNa36tkJAQSdLFixfd+xcBAADgSekJ0srHJDn/O7PZpRFzpHB+WAr8HPsFAABAGWz4g5S0yzhr2Vu663lT4gC+jB0DAADgGugwgHJhxwAAALgGOgz4iEpxWeOpp57Siy++WGLetWtXTZw4Ue+8846eeOIJFRUV6dFHH1V8fLyqVatmOJubmytJCgwMvObXCwoKkiTl5OSUK+e1bpinpKSoS5cu5XpPAACAMsnPkpZMkHLPG+d9/yi16GVOJsBHWWW/kNgxAACAifYtlr56xzgLayoNe1+y+5mTCfBRVtkx2C8AAIBp6DCAcmHHAAAAuAY6DPiQSnFZIzw8/KqvT548WXv27NGsWbN08uRJrVy5UuPGjTOcCQ4OVnZ2tvLz86/59fLy8iSpxCJzLWV5dCAAAIDbOZ3Sml9Kp783zm8aKnWbZk4mwIdZZb+Q2DEAAIBJUvZJH/+PceYfLI2aJ4XUMScT4MOssmOwXwAAAFPQYQDlxo4BAABwFXQY8DF2swN4y+TJky9/HBcXV+L1mjVrSirbI/uysrIkle1RgAAAAKbbOV36brlxVq+NNOgtyWYzJxNgcewXAACgyso+Ky0ZLxXmGucD/iE1vtWUSEBlwI4BAACqLDoMwCPYMQAAQJVEhwEfVGUua7Rt2/byxydOnCjx+qXb3MnJydd8r0uP6YuMjHRTOgAAAA85Eid9/rxxFhQqjV4gBfEDVaCi2C8AAECVVFQoLX9IyjhunHd+VLp1rDmZgEqCHQMAAFRJdBiAx7BjAACAKocOAz6qylzWcDqdV3390pJy/vx5nTp1yuW5lJQUXbhwQZLUpk0b9wUEAABwt4zjxUuIs8g4f+BdqU6UOZmASoL9AgAAVElf/FE6stk4i+gi9furKXGAyoQdAwAAVDl0GIBHsWMAAIAqhw4DPqrKXNY4ePDg5Y8bN25c4vUePXpc/ri0x/+V9lr37t3dlA4AAMDNCnKKH+uXnW6c935Wat3fnExAJcJ+AQAAqpzvVkrb3zTOajSURs2T/APNyQRUIuwYAACgSqHDADyOHQMAAFQpdBjwYVXmssY777xz+eM777yzxOuDBg2S3V78H8cHH3zg8n3mzJkjSbLb7Ro0aJB7QwIAALiD0ymt/ZWUss84b9Vf6vWMOZmASob9AgAAVCmp30urpxpn9gBp5FypZkNzMgGVDDsGAACoMugwAK9gxwAAAFUGHQZ8nM9f1pgzZ45sNptsNptefPHFEq8fOHBA8fHxV32Pd955R7Nnz5YkNWzYUEOHDi1xpmHDhho3bpwkaf369Vq+fHmJM8uWLdP69eslSRMmTFDDhvyPGAAA+KCv3pP2LTLO6kRLD7wj2X3+2z/Ao9gvAAAAyinnnLR4nFSQbZzf9zepaVdzMgE+hB0DAACgnOgwgKtixwAAACgHOgxYgL8n33zbtm2GBSEtLe3yx/Hx8ZdvX18yadKkcn+NvXv36tFHH1VMTIz69++vm2++WXXq1FFhYaF++OEHzZ8/X59//rkkyc/PT++8845CQkJKfa8///nPWrdunc6cOaMxY8Zoz549GjBggCRp7dq1ev311yVJ9erV08svv1zurAAAAB53bIe0/lnjLLCGNHqhFBxmTibATdgvAAAAvMxRJK14TDp31DjvMEHq+JA5mQA3YscAAADwMjoMVHLsGAAAAF5EhwGL8OhljVmzZunDDz8s9bXt27dr+/bthllFlhBJKioq0saNG7Vx40aXZ+rUqaPZs2df9ZF8kZGR+vjjjzVkyBCdOnVKr776ql599VXDmYYNG2rVqlWKiIioUFYAAACPOX9CWjpRchQa50NmSvVam5MJcCP2CwAAAC+L/YsU/7lx1qSjdN9rks1mTibAjdgxAAAAvIgOA1UAOwYAAIAX0WHAIjx6WcMb7rvvPs2ePVs7d+7UN998o9TUVKWnp8vpdKp27dpq37697r33Xk2aNEmhoaHXfL+uXbvqwIEDevPNN7Vq1SolJiZKklq0aKHBgwfrqaeeUp06dTz8VwUAAFBOBbnSkvFS1hnjvOdvpLaufwgLwIj9AgAA4D8OrpG2vmachdSTRs6TAoLNyQRYEDsGAACA6DAAN2LHAAAAEB0GLMXmdDqdZodAseTkZEVGRkqSkpKSuJUOAADKxumUVk+Tvp1vnEf3lcYukex+5uRCpcD3qNbGnx8AAKiQ04ek9+6SCrL+O7P7SxPXSM27m5cLlQLfo1oXf3YAAKBC6DDgQXyPam38+QEAgAqhw4AHeeJ7VPt1vwMAAADMtXtWyZKjVgtp2HuUHAAAAADKJ+ectHisseSQpH5/oeQAAAAAUH50GAAAAADchQ4DFsRlDQAAACtL3C6t+61xFhAijV4oVatlTiYAAAAA1uQoklY8Kp09YpzfOk7q8rg5mQAAAABYFx0GAAAAAHehw4BFcVkDAADAqs4nS0snSo5C43zoTKlBW3MyAQAAALCuL16W4jcaZ41vk+5/Q7LZzMkEAAAAwJroMAAAAAC4Ex0GLIrLGgAAAFZUkCMtHidlpxnnPZ+W2g42JxMAAAAA6/r+I2nbG8ZZSD1p1HwpINicTAAAAACsiQ4DAAAAgDvRYcDCuKwBAABgNU6ntPZXUsq3xnl0Xynm96ZEAgAAAGBhqd9Lq6YYZ3Z/aeRcKayJOZkAAAAAWBMdBgAAAAB3osOAxXFZAwAAwGq+fEfat8g4qx0lDZsl2f3MyQQAAADAmrLPSovHSgXZxvm9r0jN7jAnEwAAAADrosMAAAAA4C50GKgEuKwBAABgJUfipPW/M84Ca0ijF0rVwk2JBAAAAMCiigql5Q9L5xKN8w7jpc6PmhIJAAAAgIXRYQAAAABwFzoMVBJc1gAAALCKc8ekZZMkZ5FxPvRtqf6NpkQCAAAAYGGbXpSOxBpnTTpK970u2WymRAIAAABgUXQYAAAAANyJDgOVBJc1AAAArCA/S1o8Tso5a5z3ekZqM9CcTAAAAACsa/9Sace/jbMaDaRR86WAYHMyAQAAALAmOgwAAAAA7kSHgUqEyxoAAAC+zumUVk+TUg8Y563vk3o/a04mAAAAANZ18htpzS+MM3uANHKeFNrYnEwAAAAArIkOAwAAAIA70WGgkuGyBgAAgK/b9g/p+5XGWd3W0tB3JDvfzgEAAAAoh4tnpMXjpcJc4/z+16WmXc3JBAAAAMC66DAAAAAAuAsdBiohNmMAAABf9tPn0qY/GmdBYdLohVJwqDmZAAAAAFhTUYG0dKJ0Idk47/yo1PFBczIBAAAAsC46DAAAAADuQoeBSorLGgAAAL4qLV5a/ogk58+GNmnYLKlutFmpAAAAAFjVut9Kx3cYZ03vkPr91Zw8AAAAAKyLDgMAAACAO9FhoJLisgYAAIAvyr0gLR4r5Z03zu96Xmp1jzmZAAAAAFjX3g+l3bOMs9AIaeRcyT/QnEwAAAAArIkOAwAAAIA70WGgEuOyBgAAgK9xFEkrH5PSDhvnNz0g9fiVOZkAAAAAWNexndInTxtn/sHS6PlSjXrmZAIAAABgTXQYAAAAANyJDgOVHJc1AAAAfE3sn6Uf1xlnDW6WBr8l2WzmZAIAAABgTeeTpaUTJEeBcT7o31LjDuZkAgAAAGBddBgAAAAA3IUOA1UAlzUAAAB8yXcrpK2vG2fV60ijF0iBIeZkAgAAAGBN+dnS4rFS1hnj/I5fSreMNCcTAAAAAOuiwwAAAADgLnQYqCK4rAEAAOArUvZJq6YaZ3Z/aeRcqVYzczIBAAAAsCanU1rzi+I94+ei75buftGUSAAAAAAsjA4DAAAAgLvQYaAK4bIGAACAL7h4Rlo0VirMMc77vyo172FOJgAAAADWtf2f0nfLjbPaUdKw2ZLdz5RIAAAAACyKDgMAAACAO9FhoArhsgYAAIDZCvOlpROkC8nGecdJUqdHTIkEAAAAwMJ+XC9tfMk4CwqVxiyWqoWbEgkAAACARdFhAAAAAHAnOgxUMVzWAAAAMNtnz0jHdxpnTbtJ/f8u2WzmZAIAAABgTWd+lFY8Ksn5s6FNGjZLqtfKrFQAAAAArIoOAwAAAIC70GGgCuKyBgAAgJl2z5L2fmCchUZII+dK/oHmZAIAAABgTTnnpMVjpLwLxvldz0ut+pmTCQAAAIB10WEAAAAAcBc6DFRRXNYAAAAwy9Et0qfPGGf+1aTRC6Qa9c3JBAAAAMCaigql5Q9L6fHGebthUo9fmZMJAAAAgHXRYQAAAABwFzoMVGFc1gAAADDD2aPS0omSs8g4H/yW1PhWUyIBAAAAsLDPn5cSvjDOGt4iDXpLstnMyQQAAADAmugwAAAAALgTHQaqMC5rAAAAeFteprRoTPHj/X6u59PSzcPNyQQAAADAur6ZL+2abpyF1JPGLJICq5uTCQAAAIA10WEAAAAAcCc6DFRxXNYAAADwJodDWvm4dOaQcd6qvxTzB3MyAQAAALCu419Ka694RLg9QBq1QAqLMCcTAAAAAGuiwwAAAADgTnQYAJc1AAAAvCr2z9LhT42zem2kYe9Jdr41AwAAAFAO55OlJeOlonzjfOA/paZdTYkEAAAAwMLoMAAAAAC4Cx0GIInLGgAAAN7z3Qpp62vGWbVaxY/1C6ppTiYAAAAA1pSfLS0eK2WdNs5vnyp1GG9OJgAAAADWRYcBAAAAwF3oMIDLuKwBAADgDSe/kVZNNc5sftLIuVLtFuZkAgAAAGBNTqe0eqqUss84j+oj9f2jOZkAAAAAWBcdBgAAAAB3ocMADLisAQAA4GmZp6RFY6XCHOO8/6tSi17mZAIAAABgXVtek75faZzVjpKGvy/5+ZuTCQAAAIA10WEAAAAAcCc6DMCAyxoAAACeVJBT/Fi/zJPGeceHpM6PmpMJAAAAgHUdXCPFvmycBYVKYxZL1WqZkwkAAACANdFhAAAAAHAnOgygBC5rAAAAeIrTKa35pXRir3HerIfU/2+SzWZOLgAAAADWlLJf+miycWazF/82qnqtzMkEAAAAwJroMAAAAAC4Ex0GUCouawAAAHjKtn9IB5YaZ+HNpJFzJf9AczIBAAAAsKaLp6VFY6SCbOP8npelG/qakwkAAACAddFhAAAAAHAXOgzAJS5rAAAAeMIPn0qb/micBdaQxi6RQuqYkwkAAACANRXmSYvHSReSjfMO46Xbp5iTCQAAAIB10WEAAAAAcBc6DOCquKwBAADgbqnfSysfk+T82dAmDZst1W9jVioAAAAAVuR0Smt/JSV/ZZw37Sbd/4Zks5mTCwAAAIA10WEAAAAAcBc6DOCauKwBAADgTllp0qLRUv5F4/zuF6XW95oSCQAAAICF7XxL+naBcRYWKY2cJ/kHmZMJAAAAgDXRYQAAAABwJzoM4Jq4rAEAAOAuhfnSkglSxnHj/JbRUvf/MScTAAAAAOv6cb204TnjLCBEGrNIqlHPnEwAAAAArIkOAwAAAIA70WEAZcJlDQAAAHe49Fi/4zuM84jO0sA3eawfAAAAgPJJPSgtf0SS0zh/4F2p4c2mRAIAAABgUXQYAAAAANyJDgMoMy5rAAAAuMPOt6Rv5xtnoU2kUQukgGBzMgEAAACwpqw0adEoKT/TOO/zB6nNAHMyAQAAALAuOgwAAAAA7kKHAZQLlzUAAACu1+F1pTzWr3rxY/1qNjAnEwAAAABrKsyTloyXMo4b5zePkHr+xpxMAAAAAKyLDgMAAACAu9BhAOXGZQ0AAIDrkXpQWlHKY/2GviM1am9KJAAAAAAW5XRKa38tHd9pnDfpJA16S7LZzMkFAAAAwJroMAAAAAC4Cx0GUCFc1gAAAKioy4/1u2ic93lOajvInEwAAAAArGvnW9K3842z0Ahp9EIpINicTAAAAACsiQ4DAAAAgDvRYQAVwmUNAACAinD5WL+RUs+nzckEAAAAwLoOr5M2PGecBVSXxiySajYwJxMAAAAAa6LDAAAAAOBOdBhAhXFZAwAAoLycTmntr1w81u/fPNYPAAAAQPmkfi+teESS0zh/4F2p0S2mRAIAAABgUXQYAAAAANyJDgO4LlzWAAAAKK/tb0rfLjDOeKwfAAAAgIq4eEZaOFrKv2ic93lOajPQnEwAAAAArIsOAwAAAIC70GEA143LGgAAAOVxaK208UXjjMf6AQAAAKiIglxp8Vjp/HHj/OaRUs+nzckEAAAAwLroMAAAAAC4Cx0G4BZc1gAAACirlH3SysdkfKyfTXrgPR7rBwAAAKB8nE5pzS+k5K+M84jO0qB/SzabObkAAAAAWBMdBgAAAAB3ocMA3IbLGgAAAGWReUpaNEYqyDbO735BajPAnEwAAAAArGvLa9KBpcZZWKQ0eqEUEGxOJgAAAADWRIcBAAAAwJ3oMAC34bIGAADAtRTkFJccF04Y5+3HSt2fMiUSAAAAAAv7/iMp9mXjLLCGNHaJVKO+OZkAAAAAWBMdBgAAAAB3osMA3IrLGgAAAFfjcEirnpROfm2cN71DGvhPHusHAAAAoHxOfC199KRxZrNLw9+XGtxkTiYAAAAA1kSHAQAAAMCd6DAAt+OyBgAAwNXEvVJ8Y/znajWXRs2X/INMiQQAAADAos6fKP6Nt4U5xvk9L0ut+pmTCQAAAIB10WEAAAAAcBc6DMAjuKwBAADgyv6lUtyrxllQqDRmiRRSx5xMAAAAAKwp76K0aJR08ZRxftuD0u1TzMkEAAAAwLroMAAAAAC4Cx0G4DFc1gAAACjN8V3S6qnGmc1PGvGBVP9GczIBAAAAsCZHkbTyMenUAeO8RS/p/tclm82cXAAAAACsiQ4DAAAAgLvQYQAe5dHLGqdPn9batWv1/PPPq3///qpbt65sNptsNpsmTZrktq9z4cIFLV68WI899phuu+02hYeHKzAwUPXq1VPv3r312muvKSMj45rv07x588v5rvav5s2buy07AADwQecSpcXjpKJ847z/q1L03aZEAsB+AQAALGzjC9LhT42z2lHSiA8lvwBzMgFgxwAAANZEhwH4LHYMAABgSXQYgEf5e/LNGzRo4Mm3lyR99tlnGjp0qPLy8kq8lpaWpri4OMXFxem1117TokWLFBMT4/FMAADAwnLPSwtHSdlpxnmXx6Uuj5mTCYAk9gsAAGBRez+UdvzbOAsOl8Ytk6rXNiUSgGLsGAAAwHLoMACfxo4BAAAshw4D8DiPXtb4ucjISLVp00YbNmxw6/ump6crLy9Pdrtdffv21b333qv27dsrPDxcycnJWrBggZYsWaLU1FQNGDBA27dv16233nrV9xw8eLBefvlll68HBga69a8BAAD4iKJCadkk6cwPxnl0X6nfX02JBKB07BcAAMASjmyWPvm1cWYPkEbNl+pEmRIJQOnYMQAAgM+jwwAshR0DAAD4PDoMwCs8elnj+eefV+fOndW5c2c1aNBAiYmJatGihVu/RkBAgCZPnqzf/e53atq0qeG1Dh06aODAgerevbt++ctfKjs7W08//bQ2bdp01fcMDw9Xu3bt3JoTAAD4OKdT+uwZKeEL47x+W2n4+5Kf1+64AnCB/QIAAFjKmR+lpRMlR6FxPvCfUouepkQCYMSOAQAALIMOA7AEdgwAAGAZdBiA13h0Y3/ppZc8+faSpFGjRmnUqFFXPfOLX/xCc+fO1Z49e7R582alp6erTp06Hs8GAAAs5Mu3pT2zjbOQetLYJVJwqDmZABiwXwAAAMvISpcWjpRyzxvn3Z+SOow3JRKAktgxAACAZdBhAJbAjgEAACyBDgPwKrvZAbyld+/ekiSHw6GjR4+aGwYAAPiWH9dL639nnPkFSaMXSeFNS/8cAFUa+wUAAHCpME9aMl46d8X3CG0GSne9YE4mAD6PHQMAALhEhwGgAtgxAABAqegwAK+rMpc18vLyLn9st1eZv2wAAHAtKfulZQ9JTodxPnSmFNnZnEwAfB77BQAAKJXTKa35hXR8h3He6FZp6LsS3zcAcIEdAwAAlIoOA0AFsWMAAIAS6DAAU/ibHcBb4uLiJEn+/v6Kjo6+6tktW7bolltuUUJCgpxOpxo0aKAuXbpozJgxGjx4sGw2W4UyJCcnX/X1lJSUCr0vAACooAsnpYWjpIIs4zzm91K7YeZkAmAJvrBfSOwYAAD4nLi/SfuXGGehTaQxi6XA6uZkAmAJvrBjsF8AAOBj6DAAXAd2DAAAUAIdBmCKKnFZ45NPPtH+/fslSf369VNoaOhVz1/5+L/ExEQlJiZq6dKl6t69u5YsWaImTZqUO0dkZGS5PwcAAHhI3sXikiPzpHF+yyip1/+akwmAJfjKfiGxYwAA4FP2L5M2/8U4CwgpLjlCG5mTCYAl+MqOwX4BAIAPocMAcB3YMQAAQAl0GIBpKv1ljbNnz2rq1KmSJD8/P/3pT39yeTYwMFCDBg3SPffco3bt2iksLEwZGRnauXOnZs6cqaSkJG3fvl19+/bVzp07FRYW5q2/DAAA4E6OImnFo9Kp/cZ5s+7SoH9L1/Fb7gFUbuwXAACgVMd2SqunGGc2uzTiA6nRLeZkAmAJ7BgAAKAEOgwA14EdAwAAlECHAZiqUl/WKCoq0rhx43Ts2DFJ0h/+8Ad16NDB5fmvvvpK4eHhJea9e/fWtGnTNHz4cG3YsEGHDh3SSy+9pDfeeKNceZKSkq76ekpKirp06VKu9wQAABWw4Q/Sj58ZZ7WjpFHzJf8gczIB8Hm+tl9I7BgAAPiE9ARp8VipKN84v/cVqVU/czIBsARf2zHYLwAA8BF0GAAqiB0DAACUQIcBmK5SX9aYMmWK1q1bJ0m6//779dxzz131fGkLyCU1a9bU0qVLFRUVpfT0dL377rt65ZVXFBgYWOY8ERERZT4LAAA85Kv3pF0zjLNqtaRxy6Tqtc3JBMASfG2/kNgxAAAwXfZZaeFIKeescd5lstR1sjmZAFiGr+0Y7BcAAPgAOgwA14EdAwAAGNBhAD7BbnYAT3n22Wf17rvvSpJ69OihZcuWyc/P77reMywsTKNHj5YkZWVlac+ePdedEwAAeNFPn0ufPWOc2QOkUQukOlHmZAJgCewXAACghMJ8aelEKT3eOL+hn3TvX83JBMAy2DEAAEAJdBgArgM7BgAAMKDDAHxGpbys8eqrr+qVV16RJN12221au3atqlWr5pb3btu27eWPT5w44Zb3BAAAXnDqgLRskuR0GOeD35KadzclEgBrYL8AAAAlOJ3Sx7+UErca5w1ulobPluzX9w9DAKjc2DEAAEAJdBgArgM7BgAAMKDDAHxKpbusMWPGDP32t7+VJLVp00br169XWFiY297f6XS67b0AAICXXDgpLRgp5V80zns9I7UfbU4mAJbAfgEAAEoV9zdp3yLjrEZDaewSKaimOZkAWAI7BgAAKIEOA8B1YMcAAAAl0GEAPqVSXdaYN2+epk2bJklq2bKlNm7cqLp167r1axw8ePDyx40bN3brewMAAA/IuygtHCllnjTO2w2XYn5nTiYAlsB+AQAASrVvibT5L8ZZQPXikiOsiTmZAFgCOwYAACiBDgPAdWDHAAAAJdBhAD6n0lzWWLlypR566CE5nU5FRERo06ZNbl8Szp8/ryVLlkiSqlevrk6dOrn1/QEAgJsVFUrLHy5+fPjPNe0mDZkh2Wzm5ALg89gvAABAqRK3S2umGWc2uzT8fanxraZEAmAN7BgAAKAEOgwA14EdAwAAlECHAfgkn7+sMWfOHNlsNtlsNr344oulntmwYYPGjBmjoqIi1a9fXxs3blTz5s3L9XXWrVunnJwcl69nZmZq5MiRSk9PlyQ98sgjCgoKKtfXAAAAXuR0Sut+K/203jivHSWNXij58//jQFXEfgEAACos7Sdp8VipKN84v/cVqXV/czIBMB07BgAAqBA6DAAusGMAAIAKocMAfJa/J99827Ztio+Pv/zv09LSLn8cHx+vOXPmGM5PmjSp3F9j165dGjp0qPLz8xUQEKB//OMfKigo0HfffefycyIiIhQeHm6YvfLKKxo3bpweeOAB9ejRQ1FRUapRo4YyMjK0c+dOzZw5U0lJSZKk1q1bu1yIAACAj9g1U9r9nnFWrbY0bplUvbY5mQBcF/YLAABgmqw0acFwKTfDOO/6hNR1simRAFw/dgwAAGAaOgygUmLHAAAApqDDAHyaRy9rzJo1Sx9++GGpr23fvl3bt283zCqyhKxbt07Z2dmSpIKCAo0bN+6an/PBBx+U+rXOnj2rWbNmadasWS4/t1evXlq4cKFq1+YHJAAA+KxDa6X1vzPO/AKLfxtVnShzMgG4buwXAADAFAW5xb+N6lyicd76PqnfX0yJBMA92DEAAIAp6DCASosdAwAAeB0dBuDzPHpZw0pee+01bdq0STt37tThw4eVlpamjIwMVa9eXY0bN1bXrl01ZswY3XPPPbLZbGbHBQAAriTvlVY8KslpnA+ZKTXrZkokAFUP+wUAAJWEwyF9NFlK+tI4b9ReGjZLsvuZkwtAlcOOAQBAJUGHAcBHsGMAAFAJ0GEAlmBzOp3Oax+DNyQnJysyMlKSlJSUpIiICJMTAQBgMecSpVl3S1lnjPM+f5B6/a8pkQCr43tUa+PPDwCA6/T589L2N42z0AjpsU1SzYbmZAIsju9RrYs/OwAArhMdBuB2fI9qbfz5AQBwnegwALfzxPeo9ut+BwAAAF+Qc05aMKJkyXHreKnnb8zJBAAAAMC6ds8uWXIE1pTGLaXkAAAAAFA+dBgAAAAA3IkOA7AMLmsAAADrK8yTFo+X0n40zlv2lgb+U+LRvAAAAADK48cN0qdX/ANTdn9p1FypwU3mZAIAAABgTXQYAAAAANyJDgOwFC5rAAAAa3M6pdXTpGPbjPP6N0kj50p+AebkAgAAAGBNJ7+Vlk2SnA7jfOCbUlQfMxIBAAAAsCo6DAAAAADuRIcBWA6XNQAAgLXF/lk6sNQ4q9Gw+LF+wWHmZAIAAABgTRlJ0sJRUkGWcd7rGanDeHMyAQAAALAuOgwAAAAA7kKHAVgSlzUAAIB1fT1P2vJ34yywRnHJERZhTiYAAAAA1pR7Xlo4Urp4yji/ZZQU8ztzMgEAAACwLjoMAAAAAO5ChwFYFpc1AACANcVvktY+ZZzZ/KQRc6RG7c1IBAAAAMCqCvOlJROk0weN8+Y9pUFvSTabObkAAAAAWBMdBgAAAAB3ocMALI3LGgAAwHpS9ktLJ0qOQuP8/telG/qakwkAAACANTmd0se/lI7GGed1W0uj5kn+gebkAgAAAGBNdBgAAAAA3IUOA7A8LmsAAABrOZ9c/Fi//IvGefenpE4PmRIJAAAAgIXF/kXat8g4C6kvjVsmVatlTiYAAAAA1kSHAQAAAMCd6DAAy+OyBgAAsI6cDGn+cCkzxThvN0y66wVTIgEAAACwsK/nSlv+ZpwFVJfGLpFqNTMnEwAAAABrosMAAAAA4E50GEClwGUNAABgDYX50pLx0plDxnmz7tKQmZKdb2sAAAAAlMNPG6WPnzLObHZp+AdSk9tMiQQAAADAougwAAAAALgTHQZQafATAQAA4PucTmnNNClxq3Fet7U0eoHkH2ROLgAAAADWlLJPWvag5Cwyzu9/XWp9rzmZAAAAAFgTHQYAAAAAd6LDACoVLmsAAADf98XL0v4lxllIfWncMqlaLXMyAQAAALCmjCRpwUgp/6Jx3uNXUqeHzckEAAAAwLroMAAAAAC4Cx0GUOlwWQMAAPi2vXOkra8ZZwHVpXFLpVrNTIkEAAAAwKJyzkkLhksXTxnn7YZLfZ43JxMAAAAA66LDAAAAAOAudBhApcRlDQAA4Lt+XC+t/bVxZrNLI+ZIjTuYEgkAAACARRXmSYvHS2d+MM6b9ZCGzJDs/KgUAAAAQDnQYQAAAABwFzoMoNLif70AAMA3ndgrLZskOYuM8/tfl1r1MyUSAAAAAItyOKSPnpCObTPO67aWRs+X/IPMyQUAAADAmugwAAAAALgLHQZQqXFZAwAA+J6zR6QFI6WCbOO859NSp4fNyQQAAADAujY+L32/0jir0UAav1yqVsucTAAAAACsiQ4DAAAAgDvRYQCVGpc1AACAb8lKk+YPl7LTjPNbRkt9njMnEwAAAADr2vW2tOPfxllgDWnccim8qTmZAAAAAFgTHQYAAAAAd6LDACo9LmsAAADfkZ8tLRotnU0wzlv2lgb9W7LZTIkFAAAAwKIOrpbW/dY4s/tLI+dKjW4xJxMAAAAAa6LDAAAAAOBOdBhAlcBlDQAA4BscRdKKR6Xk3cZ5g5ulkfMk/0BzcgEAAACwpuO7pBWPSXIa54P+LUXfZUokAAAAABZFhwEAAADAnegwgCqDyxoAAMB8Tqf02TPS4U+M89AIadwyKTjUnFwAAAAArOnMj8W/8bYozzjv8wfp1rHmZAIAAABgTXQYAAAAANyJDgOoUrisAQAAzLftDWn3LOMsOEwav0IKbWROJgAAAADWdCFFmv+AlHPOOO84Ser5G1MiAQAAALAwOgwAAAAA7kKHAVQ5XNYAAADm+nahtOmPxplfoDR6kVT/RnMyAQAAALCm3AvSghHS+STjvNW90n2vSzabObkAAAAAWBMdBgAAAAB3ocMAqiQuawAAAPP8tFFa84srhjZp6DtS8+6mRAIAAABgUYX50pLxUuoB47xJR2n4+5Kfvzm5AAAAAFgTHQYAAAAAd6HDAKosLmsAAABznPxGWjpRchQa5/f+VWr3gDmZAAAAAFiTwyGtniIdjTPOa7eUxi6VAkPMyQUAAADAmugwAAAAALgLHQZQpXFZAwAAeN/Zo8WP9SvIMs7v+IV0+5PmZAIAAABgXRtfkA4sM85C6knjV0ghdc3JBAAAAMCa6DAAAAAAuBMdBlClcVkDAAB4V1aaNP8BKeuMcd5uuHT3H83JBAAAAMC6ds2UdvzLOAsIKf5tVLVbmpMJAAAAgDXRYQAAAABwJzoMoMrjsgYAAPCe/Cxp4Ujp7BHjvEUvacgMyc63JgAAAADK4buV0rpnjTObnzRyrtTkNnMyAQAAALAmOgwAAAAA7kSHAUBc1gAAAN5SVCAtmySd2GucN2gnjZov+QeZEgsAAACARR3dIn00WZLTOB/0b+mGu02JBAAAAMCi6DAAAAAAuBMdBoD/4LIGAADwPKdT+vh/pJ82GOdhkdK45VJwmDm5AAAAAFjTqQPS4nFSUb5x3uc5qcM4czIBAAAAsCY6DAAAAADuRIcB4Ge4rAEAADxv0x+lbxcYZ9VqSeNXSKGNzMkEAAAAwJrOHZPmD5PyLhjnnR6Rej5tTiYAAAAA1kWHAQAAAMBd6DAAXIHLGgAAwLO+fEfa9oZx5l9NGrtUqtfanEwAAAAArCkrXZr/gHQx1ThvM1C67++SzWZOLgAAAADWRIcBAAAAwF3oMACUgssaAADAc77/SPrs/4wzm10a8YEU2cWcTAAAAACsKT9LWjhSSo83zpt1lx6YJdn9zMkFAAAAwJroMAAAAAC4Cx0GABe4rAEAADzj6FZp5eOSnMb5gH9KrfubkQgAAACAVRUVSMsmSSf2GOf120qjF0oBwabEAgAAAGBRdBgAAAAA3IUOA8BVcFkDAAC436kD0uKxUlG+cR7zB6njg+ZkAgAAAGBNTqf08VPSTxuM89AIafwKqVq4GakAAAAAWBUdBgAAAAB3ocMAcA1c1gAAAO51LlGaP0zKu2Ccd3pE6vUbUyIBAAAAsLBNL0nfzjfOgsOlCSul0MamRAIAAABgUXQYAAAAANyJDgPANXBZAwAAuM/FM9K8odLFVOO8zUDpvr9LNps5uQAAAABY084Z0rZ/GGf+1aSxS6V6rc3JBAAAAMCa6DAAAAAAuBMdBoAy4LIGAABwj7xMacFw6ewR47xZd+mBWZLdz5xcAAAAAKxp/zJp/bPGmc1PGvGB1LSrOZkAAAAAWBMdBgAAAAB3osMAUEZc1gAAANevMF9aMl5K+dY4b9BOGr1QCgg2JRYAAAAAi4rfJK16ouR80L+k1v29nwcAAACAddFhAAAAAHAnOgwA5cBlDQAAcH0cjuIF5Mhm4zy8qTRuuVQt3IxUAAAAAKzqxF5pyQTJUWic3/WC1GG8OZkAAAAAWBMdBgAAAAB3osMAUE5c1gAAABXndBY/0u+7FcZ59TrS+I+k0Ebm5AIAAABgTWk/SQtGSAVZxnnXJ6UevzInEwAAAABrosMAAAAA4E50GAAqgMsaAACg4ra+Ln35tnEWECKNWybVjTYnEwAAAABrunBSmveAlJ1unLcbLvX7i2SzmZMLAAAAgDXRYQAAAABwFzoMABXEZQ0AAFAxe+dIX/zJOLMHSKPnS006mhIJAAAAgEVlny0uOc4fN85bxkhDZkp2fowJAAAAoBzoMAAAAAC4Cx0GgOvA3yEAAED5HVwjrS3l8X1D35ai+ng/DwAAAADrys+WFo2Wzhwyzht3kEbNk/wDzckFAAAAwJroMAAAAAC4Cx0GgOvEZQ0AAFA+R7dIKx6RnA7j/N5XpZuHm5MJAAAAgDUVFUjLHpSSvjTO60RL45ZLQTXNyQUAAADAmugwAAAAALgLHQYAN+CyBgAAKLuT30qLxkpF+cZ5r/+Vbn/ClEgAAAAALMrhkFZPlX7aYJzXbCRN+EgKqWtOLgAAAADWRIcBAAAAwF3oMAC4CZc1AABA2aQnSPOHSfmZxnnHSVLM702JBAAAAMCinE5pwx+k/UuM8+Dw4pIjvKkpsQAAAABYFB0GAAAAAHehwwDgRlzWAAAA13YhRZo3RMpOM87bDJLuf0Oy2UyJBQAAAMCitv1D2jXdOPOvJo1dKtVvY04mAAAAANZEhwEAAADAnegwALgRlzUAAMDV5ZyT5j8gZRw3zlv0kobNkux+5uQCAAAAYE1750ibXjLO7P7SqHlS066mRAIAAABgUXQYAAAAANyJDgOAm3FZAwAAuJafJS0cJZ0+aJw3ai+NWiD5B5mTCwAAAIA1HVwtrf1VyfngGdINfb2fBwAAAIB10WEAAAAAcCc6DAAewGUNAABQusJ8aelEKelL47x2lDRuhRQcak4uAAAAANaUECuteFRyOozzfn+V2o8yJxMAAAAAa6LDAAAAAOBOdBgAPITLGgAAoCSHQ1r1hBS/0Tiv2Via8JFUo545uQAAAABYU/JeafE4qSjfOO/5G6nbFHMyAQAAALAmOgwAAAAA7kSHAcCDuKwBAACMnE7ps2ek71YY59VqFZcctZqZkwsAAACANZ05LC0YLhVkGeedHpb6/MGcTAAAAACsiQ4DAAAAgDvRYQDwMI9e1jh9+rTWrl2r559/Xv3791fdunVls9lks9k0adIkj3zNxYsXq1+/fmrUqJGCg4PVvHlzTZgwQbt27Srze6Snp+uFF15Q+/btFRYWptDQULVv314vvPCC0tPTPZIbAACfsfmv0u73jLOAEGnccqn+jeZkAgCxXwAAYEkZSdK8oVLOWeP8pqHSfa9JNps5uQBA7BgAAFgSHQYAH8aOAQCAxdBhAPACf0++eYMGDTz59ga5ubkaMWKE1q5da5gfO3ZMx44d08KFC/Xiiy/queeeu+r77N69W4MHD1ZKSophvn//fu3fv1+zZs3S6tWr1alTJ7f/NQAAYLpdb0txrxpn9gBp9Hwpgv/vA2Au9gsAACwmK02aN0S6cMI4j+ojDX1XsvuZEgsALmHHAADAYugwAPg4dgwAACyEDgOAl3j0yRo/FxkZqXvuucdj7//II49cXkBiYmK0atUqffXVV5o9e7aioqLkcDj0/PPPa9asWS7f48SJExo4cKBSUlLk7++vZ555Rlu2bNGWLVv0zDPPyN/fXydPntSAAQN04sQJl+8DAIAl7Vssrfu/K4Y2adh7xYsIAPgQ9gsAAHxc7vni30aVHm+cR3SWRs2X/APNyQUALrBjAADg4+gwAFgMOwYAAD6MDgOAF3n0yRrPP/+8OnfurM6dO6tBgwZKTExUixYt3P514uLitHDhQknSwIED9dFHH8nPr/hWW+fOnTVo0CB17NhRx48f1zPPPKPhw4crPDy8xPv8/ve/V2pqqiRp4cKFGjFixOXXevbsqU6dOmnkyJFKTU3Vc889p/fff9/tfy0AAJjih0+kVVNKzge8UfxoPwDwAewXAABYREGOtGiMdGq/cV6vjTR2qRQYYk4uALgCOwYAABZBhwHAItgxAACwADoMAF7m0SdrvPTSSxowYIDHH/P3t7/9TZLk5+enGTNmXF5ALqlbt65efbX4cajnzp3T7NmzS7xHamqq5s+fL0nq16+fYQG5ZMSIEerXr58kae7cuZcXFgAALO3oFmnZQ5KzyDjv85zU6WFzMgFAKdgvAACwgKICaemD0rHtxnl4U2nCSql6bXNyAUAp2DEAALAAOgwAFsKOAQCAj6PDAGACj17W8IaLFy9q06ZNkqS+ffsqIiKi1HMPPPCAQkNDJUkrV64s8fqaNWtUVFT8A56HHnrI5debNGmSJKmoqEhr1qy5nugAAJjvxN7i2+JFecb5Hb+Qej5tTiYALjmdTuUWFF37ICqM/QIAgOvgcEgfPSH9tN44D6kvTVglhTY2JRYA13Ly2S88jR0DAIDrQIcBWAodhnewYwAAUEF0GIDlVJYOw/KXNb766ivl5RX/cObOO+90eS4wMFC333775c8pKCgwvL5169bLH1/tfX7+2rZt2yqUGQAAn3D6B2n+MCn/onHeYYLU90+SzWZOLgAlOBxOfXYgRQPf2qY/rT1odpxKjf0CAIAKcjqlT38jfbfcOA8OkyZ8JNWJMicXgFKlnM/RSx9/ry5/2agTGTlmx6nU2DEAAKggOgzAMugwvIsdAwCACqDDACylsnUY/mYHuF6HDh26/PGNN9541bM33nijNmzYoMLCQv30009q27ZtifcJCwtTw4YNXb5Ho0aNFBoaqgsXLhi+dlkkJydf9fWUlJRyvR8AABV2LlGaN0TKOWectx0sDXyTkgPwEQVFDn2876RmbE5Q/OniUvLHUxf1y7tuUIPQYJPTVU5W2i8kdgwAgA/54k/SntnGWUB1adxyqWE7czIBKCExLUtvxyVoxdfJKihySpLe23JELw66yeRklZeVdgz2CwCAz6DDACyBDsMc7BgAAFQAHQZgCZW1w7D8ZY2kpKTLH7t6tN8lkZGRhs/7+RJy6X2u9R6X3uf77783fO2y+PnXBwDANJmnpLlDpMwrfvgV1Ud64D3J7mdKLAD/lVtQpOV7k/V2XIKSzxlviOcXOTRr6xH9/v62Lj4b18NK+8WVGQAAMM32f0lbXzfO7AHSqPlSZBdzMgEwOHwqUzM2x+vjfSflcBpfW/TVcU3rE626NYLMCVfJWWnHYL8AAPgEOgzA59FhmIsdAwCAcqLDAHxeZe8wLH9ZIzMz8/LHNWrUuOrZkJCQyx9fvGh8XOql97nWe/z8fa58DwAAfF72WWneUOncUeM8okvxEuJv3W9qgMogK69QC788rve2HtHpzDyX53YkpMvhcMpu5zfIuRv7BQAA5bR3jvT5c8aZzS4NmyVF32VKJAD/9W1ShqbHxuvzg6kuzxQ5nPryyFndf0sjLyarOtgxAAAoBzoMwKfRYfgGdgwAAMqBDgPwaVWlw7D8ZY3c3NzLHwcGBl71bFDQf394k5NjvN1/6X2u9R4/f58r3+NarnXDPCUlRV26cFMPAOAheZnSguHS6YPGef2bpHFLpcCQ0j8PgMdlZOfrwx3H9MGOo8rILnB57saGNTU1Jlr33dyIksNDrLRfSOwYAACTHVguffxUyfnAN6Wbhng7DYD/cDqd2nkkXTNiE7QtPs3luUB/u0Z3jtTjvVoqolZ1LyasWqy0Y7BfAABMRYcB+Cw6DN/CjgEAQBnRYQA+qSp2GJa/rBEcHHz54/z8/Kuezcv7783+atWqlXif7Ozsa77Hz9/nyve4lrI8OhAAAI8oyJUWjZFO7DXOa7WQJnwkVatlTi6gijudmavZ245q/s5jysovcnmuQ9NwTYuJVp8b68tmo+DwJCvtFxI7BgDARD+ulz6aLOmKZxH3/ZN020RTIgFVndPp1Bc/nNb02Hh9fTzD5bmQQD+Nv72ZHunZQvVrBrs8B/ew0o7BfgEAMA0dBuCT6DB8EzsGAABlQIcB+Jyq3GFY/rJGzZo1L398rcftZWVlXf74ysf41axZU9nZ2WV6ZN+l9ynLowABADBdUYG0bJKUuNU4D20iTVwt1WxgSiygKks+l613txzRkt1Jyit0uDzXPbqOpsZEq1vLOhQcXsJ+AQBAGRzdKi2dKDkKjfNe/yt1/6U5mYAqrMjh1KcHUjQ9Nl4/nMp0eS6sWoAe6t5ck+5orvDq1/7NqXAPdgwAAK6BDgPwOXQYvo0dAwCAa6DDAHwKHUYluKzx81vYycnJ6tSpk8uzP3+8XmRkZIn3SU1NVXJy8jW/5qX3ufI9AADwOQ6HtOpJ6cfPjPPqdaUJq6RazUyJBVRVCWcuaubmBK365oQKHU6X5+5uU19TY6LVoSm/Mc7b2C8AALiGE3ulRaOlwlzjvMtkKeb35mQCqqj8QodWfXNCM+MSdDQty+W5ejWD9FjPFhrbtZlqBFm+ErAcdgwAAK6CDgPwKXQY1sCOAQDAVdBhAD6DDuO/LP9X1bZt28sf//DDD1c9e+l1f39/RUdHl3ifvXv36vz58zp16pQaNmxY6nukpKTowoULkqQ2bdpcT3QAADzL6ZQ+fVo6sMw4DwqVJqyU6rUyJxdQBX134rxmbk7Qp9+lyOmi37DbpAG3NNaTvaPUplGodwPiMvYLAACuIvWgNH+YlH/Fb1xsP1a69xWJ36IJeEVOfpGW7D6ud7cc0cnzuS7PNQmvpid6R2lExwgFB/h5MSF+jh0DAAAX6DAAn0GHYS3sGAAAuECHAfiE3IIiLf6KDuPn7GYHuF6dO3dWYGDx407i4uJcnsvPz9euXbtKfM4lPXr0uPzx1d7n56917969QpkBAPA4p1Pa+IK0533j3L+aNHap1Ki9ObmAKmZP4lk99MFXGvDvbfrkQOklR4CfTaM7R2rT0731rzEdKDlMxn4BAIALZ49I84ZKOeeM8zYDpUH/luyW/zEj4PMu5BZoxuZ49Xj1C7348UGXJUdUvRC9PqK9Nv9vb024vVmlLzl8HTsGAACloMMAfAIdhjWxYwAAUAo6DMB0mXQYLln+70A1a9bUXXfdJUnauHGjy8fzrVy58vJN76FDh5Z4fdCgQbL/52/IH3zwgcuvN2fOHEmS3W7XoEGDric6AACes+U1afubxpk9QBo9X2rWzZxMQBXhdDq15cczGvXOTg1/e6diD58p9VxwgF2T7miuuP+N0SvDblGLuiFeTorSsF8AAFCK88nSh4Oli6eM86g+0rDZkp/lH94L+LSzWfl6fcNhdX/lC/1t3WGlZ+WXeu6mxqGaOe42ff6rOzWsY4QC/Cz/4/9KgR0DAIBS0GEApqHDsD52DAAArkCHAZjqUodxx386jLSLpXcY7ZpU3Q7D5/9K58yZI5vNJpvNphdffLHUM7/5zW8kSYWFhZo6daqKiooMr6elpen//u//JEnh4eF69NFHS7xHw4YNNW7cOEnS+vXrtXz58hJnli1bpvXr10uSJkyY4PIRgAAAmGrnDCn2ZePMZpeGz5ai7zYnE1AFOBxOrfvulAZP366J73+lL4+eLfVczSB/TY2J0vb/66MXB92kxuHVvJy0amO/AACgnC6eluYOls4fN84ju0qj5kv+QebkAqqAU+dz9ae1B9X9lS/07y/ilZlbWOq5zs1rac5DnbX2Fz3U/+ZGstttXk5atbFjAABQTnQYgCnoMKyDHQMAgHKgwwBMU9YOo0vz2przUGd9PK3qdhgevTK2bds2xcfHX/73aWlplz+Oj4+/fPv6kkmTJlXo6/Tp00ejR4/W4sWLtWbNGvXt21dPPfWUGjdurAMHDujPf/6zjh8v/pvxK6+8olq1apX6Pn/+85+1bt06nTlzRmPGjNGePXs0YMAASdLatWv1+uuvS5Lq1aunl19+udT3AADAVF/PldY/W3I+eLrUdrD38wBVQGGRQx/vP6kZsQn66fRFl+dqhwTqkR4tNKFbM4UGB3gxYeXBfgEAgJdlny1+bHh6vHHe8BZp7FIpkN+qCXjC8fRszYxL0Iq9ycovcrg8d2ereprSO0pdW9bxYrrKhR0DAAAvo8MAvI4Ow7vYMQAA8CI6DMAU5ekwpsZEq0uL2l5M55s8ellj1qxZ+vDDD0t9bfv27dq+fbthVtElRJLef/99XbhwQZ9++qliY2MVGxtreN1ut+u5557T5MmTXb5HZGSkPv74Yw0ZMkSnTp3Sq6++qldffdVwpmHDhlq1apUiIiIqnBUAAI84sFxa88uS8/tek24d6/08QCWXV1ik5XuT9XZcgpLO5rg81zA0WI/3aqkxXZqqWqCfFxNWPuwXAAB4UV6mtGC4lPqdcV63tTThI6lauCmxgMrsx9RMzYiN15p9J+Vwln7GZpPuvamhpvSO1s0RYd4NWAmxYwAA4EV0GIBX0WGYgx0DAAAvocMAvK6sHUa/tg01NYYO4+c8elnDm6pVq6ZPPvlECxcu1Jw5c7Rv3z5lZGSoQYMG6tmzp6ZNm6Zu3bpd8326du2qAwcO6M0339SqVauUmJgoSWrRooUGDx6sp556SnXq8JvKAAA+5vBn0keTJV3xndBdL0hdHjMlElBZZecXauGXx/Xe1iNKvZDn8lyzOtX15J1RGnpbEwX5U3BYDfsFAKBKK8iRFo2RTuw1zsObSRNXSSF1TYkFVFb7kjI0PTZeGw6mujzjZ7dp8K2NNaV3lKLr1/RiOrgLOwYAoEqjwwC8hg6j6mDHAABUWXQYgFfRYVw/m9PpdHG/Bd6WnJysyMhISVJSUhK30gEAZXNks7RgpFR0xQ9cez4t3fW8KZGAyuh8doE+3JmoD7Yf1bnsApfnWjeoqSkxUbr/5kby97N7MaFn8D2qtfHnBwAot8J8ack46acNxnnNxtLDn0m1mpsSC6hsnE6nvjx6VtNj47X1pzSX5wL97RrZKUKTe0UpsnZ1Lyb0HL5HtS7+7AAAFUKHAXgFHQbfo1oRf34AgHKjwwC8gg7Dvd+jVponawAAUCUd21l8W/zKkqPrE1Kf58zJBFQyZzLzNHvbUc3fdUwX8wpdnmsfGa5pMdG668b6stttXkwIAADgJkWF0opHSpYc1etKE1dTcgBu4HQ6tfnwGb0VG6+9x865PFc90E/jujbVYz1bqn5osBcTAgAAuBEdBuBxdBgAAKDKoMMAPI4OwzO4rAEAgFWd+FpaMEIqyDbObx0v9furZOMHrcD1OJGRo3fjErR4d5LyCh0uz3VrWUfT+kTrjqg6svG/OwAAYFUOh7R6inRojXEeHCZN+Eiq18qcXEAlUeRwat13pzQ9Nl4HUy64PBdWLUCT7miuSXc0V62QQC8mBAAAcDM6DMCjTmTk6L0tR7Toq+N0GAAAoPKjwwA8ig7Ds7isAQCAFaV+L81/QMrPNM7bDpEG/UuyW/+xxYBZjqZlaebmeK38+oQKHU6X5+66sb6mxESrY7NaXkwHAADgAU6n9MmvpP1LjPOAEGnccqnRLebkAiqBgiKHVn1zQjPjEnTkTJbLc3VrBOnRni00/vZmqhHEj+0BAIDF0WEAHkOHAQAAqhw6DMBjCoocWv3tSc3YHE+H4UH8JwYAgNWk/STNHSzlXPGosVb9pQfek+x+5uQCLO7gyQuasTlenx5Ikat+w2aT7ru5kab2jlbbxqHeDQgAAOAJTqe0/nfS3jnGuX+wNHaxFNnFlFiA1eUWFGnpniS9E3dEJzJyXJ5rEl5Nj/dqqVGdIxUcwD4PAAAqAToMwCMOpVzQ9Fg6DAAAUMXQYQAekVtQpGV7kvQ2HYZXcFkDAAArOZcofThIyjpjnLeMkUbMkfx5vBhQXnuPndOM2Hht+uG0yzP+dpseuK2JnrgzSi3r1fBiOgAAAA/74mVp1wzjzB4gjVogtehlTibAwi7mFWr+rmOatfWo0i7muTzXsm6InuwdpSEdmijAj98sDQAAKgk6DMDt6DAAAECVRocBuBUdhjm4rAEAgFWcP1FccmSeNM6bdpNGL5ACgs3JBViQ0+nUjoR0vfVFvHYeSXd5LsjfrjFdmuqxXi3VJLyaFxMCAAB4wdbXpa2vGWc2P2nEB9INd5uTCbCoc1n5+mBHoj7ckajzOQUuz7VtFKqpMdG6t11D+dltXkwIAADgYXQYgNvQYQAAAIgOA3AjOgxzcVkDAAAryEwtfmx4xjHjvPFt0tilUmCIObkAi3E4nNp4KFXTNydoX1KGy3M1gvw1/vZmeqRHC9WrGeS9gAAAAN6yc4a06Y9XDG3S0HekNgNNiQRY0ekLuXpv6xEt+PK4svOLXJ7r2KyWpsVEq3frerLZKDgAAEAlQ4cBuEV5OowJ3Zrp4e50GAAAoJKiwwDcgg7DN3BZAwAAX5eVXlxypP9knDdoJ41fIQWHmpMLsJDCIoc+OZCiGbEJOpya6fJcreoBerh7C03s1lxh1QO8mBAAAMCLds+W1j9bcj7oX9ItI7yfB7CgpLPZejsuQcv2Jiu/0OHyXM8b6mpqTLS6tqhNwQEAAConOgzgutFhAAAA/AwdBnDdLncYe5KVX0SHYTYuawAA4MtyzknzhkhnDhnndVtJE1ZJ1WubkQqwjLzCIq38+oTejkvQsfRsl+cahAbpsZ4tNaZLU4UE8S0yAACoxL5ZIH3y65Lz/n+Tbpvo/TyAxcSfztSMzQla/e1JFTmcLs/1u6mBpvSOVvvIcO+FAwAA8DY6DOC60GEAAABcgQ4DuC7xpzM1IzZBq/fRYfgStjgAAHxV7gVp/nDp1H7jvFYLaeJqqUY9c3IBFpCdX6hFXyXpvS1HdOpCrstzTWtX1+Q7W2p4xwgF+ft5MSEAAIAJDiyX1kwrOb/7JanrZO/nASzkQPJ5TY+N1/qDp+R00W/42W0aeEsjTYmJVqsGNb0bEAAAwNvoMIAKK0+H8cSdURrWsQkdBgAAqPzoMIAKK2uHMah9Yz3ZO4oOw8u4rAEAgC/Kz5IWjpRO7DHOwyKlB9dIoY3NyQX4uPM5BZq3M1Hvb0/U2ax8l+duqF9DU2OiNeCWRvL3s3sxIQAAgEkOrpFWPi45r3jUce9npR5PmRIJsIIvj6Rr+uYEbfnxjMszgX52DesYoSfvjFLTOtW9mA4AAMAkdBhAhZS1w2jVoIam9KbDAAAAVQgdBlAhZe0whneK0BO96DDMwmUNAAB8TUGOtGi0dHyncV6zUXHJEd7UnFyAD0u7mKf3tx3VvJ3HlJlX6PLcLRFhmhoTrb5tGshut3kxIQAAgIl+XC8tf1hyFhnnPX4l3fl/5mQCfJjT6dTmH89oRmy8dieec3muWoCfxnVtqkd7tlTDsGAvJgQAADARHQZQbnQYAAAAV0GHAZSL0+lU3I9nNL2MHcZjvVqqQSgdhpm4rAEAgC8pzJOWTJCObjHOQ+pJE9dItVuakwvwUSnnc/RO3BEt3n1cuQUOl+e6tqitaX2i1SO6rmw2Cg4AAFCFJMQW7xiOAuO865PSXS9IfG8EXOZwOLX++1Oavjle35244PJczWB/TbqjuR7q3kK1QwK9mBAAAMBkdBhAudBhAAAAXAMdBlBmZe0wQoP99SAdhk/hsgYAAL6iMF9aNkmK/9w4r1a7uOSo18qUWIAvSkzL0ttxCVrxdbIKipwuz8W0rqepMdHq1Ly2F9MBAAD4iKNbpUVjpKI847zTw9K9f6XkAP6joMihNd+e1IzN8Uo4k+XyXJ2QQD3Ss4Um3N5MNYMDvJgQAADAB9BhAGVGhwEAAFAGdBhAmZS1w6hbI1CP9Gip8bc3pcPwMVzWAADAFxQVSisekQ5/apwHhUkTPpIatDUnF+BjDp/K1PTYeK3df1IOF/2GzSbd166RpsRE6abGYd4NCAAA4CuO7ZQWjpIKc4zzW8dJ971OyQFIyi0o0rK9yXonLkHJ53JcnmscFqzHe7XUqM5NVS3Qz4sJAQAAfAQdBlAmdBgAAABlRIcBXBMdRuXBZQ0AAMzmKJI+elw6tMY4D6wpjV8hNb7VlFiAL/k2KUNvfRGvjYdSXZ7xt9s0+NYmerJ3lKLr1/BiOgAAAB+TtFtaMEIquOK367QbJg36t2S3m5ML8BFZeYVa8OUxvbf1qM5k5rk816JuiJ68M0pDOjRRoD//uwEAAFUUHQZwTXQYAAAA5UCHAVwVHUblw2UNAADM5HBIq6dK360wzgNCpHHLpMjO5uQCfIDT6dTOI+maHhuv7fHpLs8F+ts1unOkHu/VUhG1qnsxIQAAgA86+Y00f5iUn2mctxkkDX1XsvMbdVB1ZWTna86ORM3ZkaiM7AKX525sWFNTY6J1382N5GfnN7gBAIAqjA4DcIkOAwAAoALoMACX6DAqLy5rAABgFodDWvs/0r5Fxrl/NWnsEqlZN3NyASZzOp364ofTeis2Xt8cz3B5LiTQT+O7NdMjPVqofs1g7wUEAADwVacOSHOHSHnnjfPW90nDZkt+/CgQVdPpzFzN3npU83cdU1Z+kctzHZqGa1pMtPrcWF82GwUHAACo4ugwgFLRYQAAAFQQHQZQKjqMyo+/uwEAYAanU/r0N9LXc41zvyBpzEKpRU9zcgEmKnI49emBFE2PjdcPpzJdnguvHqBJdzTXpDuaK7x6oBcTAgAA+LDUg9LcwVJuhnEe3VcaMUfy5/smVD3J57L1TtwRLdmTpPxCh8tzPaLrakpMlLq1rEPBAQAAINFhAKWgwwAAALgOdBhACXQYVQeXNQAA8DanU1r3W2nPbOPcL1AavUCK6mNOLsAk+YUOffRNst6OO6KjaVkuz9WrGaTHe7bU2K5NFRLEt7EAAACXnTkszR0kZacb5y1jpFHzJf8gc3IBJok/fVEzNydo9bcnVOhwujzXt20DTekdpQ5Na3kxHQAAgI+jwwAM8gsdWvXNCc2MS6DDAAAAqAg6DMCADqPqYUMEAMCbnE5p/e+lL982zu3+0ogPpRv6mpMLMEFOfpEW7z6ud7ccUcr5XJfnImpV0xN3Rml4xwgFB/h5MSEAAIAFpP0kfThQyjpjnDfvKY1eKAUEm5MLMMF3J85rxuZ4ffbdKTld9Bt2mzSwfWM92TtKNzYM9W5AAAAAX0eHAVxGhwEAAOAGdBjAZXQYVReXNQAA8BanU/r8eWnXdOPc5icNmy3deJ85uQAvu5BboHk7j+n9bUeVnpXv8lx0/Rp68s4oDbq1sQL87F5MCAAAYBHpCdKcAdLFVOM88nZpzGIpsLo5uQAv2514VtNj47X58BmXZwL8bBp2W4SeuDNKzeuGeDEdAACARdBhAJLoMAAAANyGDgOQRIcBLmsAAOAdTqe06Y/Sjn8Z5za79MC70k1DTIkFeNPZrHy9v+2oPtyZqMzcQpfn2jUJ1bSYaN3TtqHsdpsXEwIAAFjI2SP/KTlOGecRnaVxy6SgGubkArzE6XRqy09pmh4br6+OnnV5LjjArrFdmumxXi3UKKyaFxMCAABYCB0GQIcBAADgTnQYqOKcTqe2/pSmt+gwIC5rAADgHbF/kba9ccXQJg19R7p5uCmRAG85dT5X7245okVfHVdOQZHLc12a19bUPtHqdUNd2WwUHAAAAC6dS5TmDJQyTxrnjW+Txq+QgnksMiovh8OpDQdTNT02XgdOnHd5rmaQvx68o7ke6t5cdWoEeTEhAACABdFhoAqjwwAAAHAzOgxUYXQYKA2XNQAA8LTNr0pb/nbF0CYNmSndMtKUSIA3HEvP0ttxCVq+N1kFRU6X5+5sVU9TY6LVpUVtL6YDAACwqIzjxSXHhWTjvNGt0oSPpOAwU2IBnlZY5NCafSc1Y3OC4k9fdHmuTkigHu7RQhO6NVNocIAXEwIAAFgUHQaqqOIO44hW7E1WfpHD5Tk6DAAAgHKgw0AVVVjk0Mf7T2pGbIJ+osPAFbisAQCAJ235u7T5LyXng9+Sbh3j/TyAF/yYmqkZsfFas++kHC7uaNhs0r03NdTUmGi1a8IyDgAAUCYZScWPDT9/3DhveEtxyVEt3JRYgCflFhRp+d5kvbMlQUlnc1yeaxQWrMd7tdTozk1VLdDPiwkBAAAsjA4DVRAdBgAAgIfQYaAKyiss7jDejrt2h/FYz5Ya04UOoyrisgYAAJ6y5TXpi5dLzge+KXUY7/08gIftT87QW1/Ea8PBVJdn/Ow2Db61sab0jlJ0/ZpeTAcAAGBx55OlDwdIGceM8wbtpImrper8hk9ULll5hVr01XG9u+WITmfmuTzXvE51Pdk7SkM7RCjQ3+7FhAAAABZHh4Eqhg4DAADAg+gwUMVk5xdq4ZfH9d7WI0q9QIeBq+OyBgAAnrD1DemLP5Wc3/+G1HGS1+MAnuJ0OvXl0bOaHhuvrT+luTwX6G/XyE4RmtwrSpG1q3sxIQAAQCVw/kTxb6M6l2ic129LyYFK53x2gT7cmagPth/VuewCl+dubFhTT/aO0v03N5K/HwUHAABAudBhoIqgwwAAAPACOgxUIeXpMKbEROu+dg3pMMBlDQAA3G7bP6RNL5Wc9/+71PkR7+cBPMDpdGrz4TN6KzZee4+dc3mueqCfxt/eTI/2aKH6ocFeTAgAAFBJXDgpzblfOnfUOK93Y3HJEVLXnFyAm53JzNPsbUc1f9cxXcwrdHmufWS4psVE664b68tut3kxIQAAQCVBh4EqgA4DAADAS+gwUEWUtcO4NTJcU+kwcAUuawAA4E7b35Q2vlhy3v9vUtfHvR4HcLcih1Prvjul6bHxOphyweW5sGoBmnRHc026o7lqhQR6MSEAAEAl4qrkqNtaevBjqUZ9c3IBbnQiI0fvxiVo8e4k5RU6XJ67I6qOpsZE646oOrLZKDgAAAAqhA4DlVx5O4yHujdXeHU6DAAAgAqhw0AVQIcBd+CyBgAA7rL9X9Lnz5ec3/uq1HWy9/MAblRQ5NCqb05oZlyCjpzJcnmubo0gPdqzhcbf3kw1gvhWEwAAoMIupBQ/NvzsEeO8bitKDlQKR85c1MzNCfromxMqdDhdnrvrxvqa2idatzWt5cV0AAAAlRAdBioxOgwAAAAvo8NAJVeeDmNKTLQ6NqPDgGtsnwAAuMOOt6TPnys57/dX6fYnvJ8HcJPcgiIt3ZOkd+KO6ERGjstzTcKr6Yk7W2pEp0gFB/h5MSEAAEAldCFF+nCAdDbBOK/bSnpwrVSzgTm5ADc4ePKCpm+O16cHUuR00W/YbNL9NzfSlN7Rats41LsBAQAAKiM6DFRSdBgAAAAmoMNAJVaWDsNuk+6/pbGevDOKDgNlwmUNAACu1/Z/uSg5/iJ1m+L9PIAbZOYWaMGXxzVr61GlXcxzea5lvRBN6R2twbc2VoCf3YsJAQAAKqlLJUd6vHFe54bi30ZFyQGL2nvsnKbHxuuLH067PONvt+mB25roiTuj1LJeDS+mAwAAqMToMFAJ0WEAAACYhA4DlVRZOowAP5se6BChJ3pHqUXdEC+mg9VxWQMAgOux/c3SHxt+z5+lblO9nwe4Tuey8vXBjkTN2X5UF3ILXZ67qXGopvSO1r3tGsrPbvNiQgAAgErswsn/PDb8it9GVSdamrRWqtnQnFxABTmdTm2PT9dbsT9p15GzLs8FB9g1unNTPdarpZqEV/NiQgAAgEqODgOVDB0GAACAiegwUMmUt8N4vFdLNabDQAVwWQMAgIra9k9p4wsl533/JN0xzetxgOuReiFXs7Ye0YIvjys7v8jluU7Namlqn2j1blVPNhsFBwAAgNu4KjlqR/3nseGUHLAOh8OpjYdSNX1zgvYlZbg8VzPIXxO6NdPDPVqobo0g7wUEAACoCugwUInQYQAAAJiMDgOVCB0GvI3LGgAAVMS2f0gbXyw5v+dl6Y5feD0OUFFJZ7P1dlyClu1JVn6Rw+W5Xq3qaWrvKHVtWceL6QAAAKqI8yeKHxt+9ohxXie6uOQIbWROLqCcCosc+uRAimbEJuhwaqbLc7WqB+iRHi00oVtzhVUL8GJCAACAKoIOA5XE8fRsvb0lQcvpMAAAAMxDh4FKgg4DZuGyBgAA5bX1DWnTSyXn9/yZ30YFy/gpNVMzNydo9b6TKnI4XZ6796aGmhITpVsiwr0XDgAAoCo5n1z826jOHTXOKTlgIXmFRVr59Qm9HZegY+nZLs81CA3SYz1bamzXpqoeyI+mAQAAPIIOA5XAT6mZmrE5QWvoMAAAAMxFh4FKIK+wSCv2FncYx8/SYcD7+G8TAADlsfV1adMfS877/UXqNtX7eYBy2p+coemx8Vr/farLM352mwa3b6wne0fphgY1vZgOAACginFZctwgTeKx4fB92fmFWvRVkt7bckSnLuS6PNe0dnU92TtKD9zWREH+fl5MCAAAUMXQYcDiytphDPpPh9GKDgMAAMBz6DBgcdn5hVr45XG9t/WIUi/kuTxHhwFP47IGAABlFfd3KfblknNKDljAl0fS9VZsvLb+lObyTKCfXSM6RWhyryg1rVPdi+kAAACqoIyk4seGn0s0zuu2kh78mJIDPu18ToHm7kjU+9uP6lx2gctzrRrU0NSYaN1/cyP5+9m9mBAAAKAKosOAhdFhAAAA+Bg6DFgYHQZ8DZc1AAAoi82vSJv/WnJ+7yvS7U96Pw9QBk6nU5t/PKMZsfHanXjO5blqAX4a17WpHuvVUg1Cg72YEAAAoIo6d6y45Mg4bpzXbVX82PCaDczJBVxD2sU8vb/tqObtPKbMvEKX59pHhGlKTLT6tmkgu93mxYQAAABVFB0GLKisHUb1wOIO49GedBgAAABeQYcBiypPhzE1Jlp302HAS7isAQDA1TidUuxfpC1/K/nava9Ktz/h/UzANTgcTq37/pSmx8br+5MXXJ4LDfbXpDua66HuLVQrJNCLCQEAAKqws0elDwdK55OM87qt//PbqCg54HtOZuTo3S1HtHj3ceUWOFyeu71lbU2LuUHdo+vIZqPgAAAA8Dg6DFhQeTuMSd1bqDYdBgAAgHfQYcCCytNhTI2JVo/ounQY8CouawAA4IrTKW36o7TtjZKv3fea1OUx72cCrqKgyKE1357UjM3xSjiT5fJc3RqBeqRHS42/valqBgd4MSEAAEAVl55QXHJcOGGc12sjPbhGqlHfnFyAC4lpWZq5OUErv0lWQZHT5bmY1vU0rU+0Ojar7cV0AAAAVRwdBiyGDgMAAMDH0WHAYsraYfS5sb6mxkTRYcA0XNYAAKA0Tqe08QVp+5slX7v/DanzI97PBLiQW1CkZXuS9HbcEZ3IyHF5rnFYsB7v1VKjOjdVtUA/LyYEAACA0uKLS47Mk8Z5/ZuKS46QuubkAkrxw6kLmh6boE/2n5TDRb9hs0n3tWukJ3tHqV2TMO8GBAAAqOroMGAhdBgAAAAWQIcBCylPhzElJko3NabDgLm4rAEAwJWcTmnDH6Sdb5V8beCbUsdJXo8ElOZiXqEW7DqmWduO6kxmnstzLeqG6MneURpyaxMF+tu9mBAAAACSpDM/FpccF08Z5w1uliaulkLqmJMLuMI3x89pemy8Nh467fKMv92mIR2a6MneUYqqV8OL6QAAACCJDgOWQYcBAABgEXQYsAg6DFgVlzUAAPg5p1Na91vpy7eveMEmDfq3dNsEU2IBP5eRna85OxL1wfZEnc8pcHmuTaNQTY2JUv92jeRnt3kxIQAAAC47/UNxyZF1xQ+OG95SXHJU55HLMJfT6dTOhHS9FRuvHQnpLs8F+ts1unOkHu/VUhG1qnsxIQAAAC6jw4AF0GEAAABYCB0GfBwdBioDLmsAAHCJwyF9+htpz+wrXrBJQ2ZIt441JRZwyekLuZq17agW7DqmrPwil+duaxquqTHR6nNjfdlsFBwAAACmOfWdNHewlJ1mnDfuIE34SKpWy5xcgIoLjk2HTuut2Hh9m5Th8lxIoJ/Gd2umR3q0UP2awd4LCAAAACM6DPg4OgwAAACLocOAD6PDQGXCZQ0AAKTikuPjX0rfzDPObXZpyNtS+1Hm5AIkJZ3N1jtbErR0T7LyCx0uz/WIrqupMdG6vWVtCg4AAACznfxWmjdEyjlnnDfpKI1fKVULNyEUIBU5nPrkQIpmxMbrh1OZLs+FVw/QQ3e00KQ7miuseoAXEwIAAKAEOgz4MDoMAAAAC6LDgI8qcji1dv9JzdycQIeBSoPLGgAAOIqk1VOlfYuMc5uf9MC70s3DzcmFKi/+dKZmbE7Q6m9PqsjhdHmub9sGmhoTrVsjw70XDgAAAK6d2CvNGyrlnjfOI7tK45ZJwWHm5EKVll/o0EffJGvm5gQlpme7PFe/ZpAe69lSY7s2VUgQPz4GAAAwHR0GfBQdBgAAgEXRYcAH5Rc6tPLrZL0dR4eByof/pgIAqraiQumjydJ3y41zu780/H2p7WBzcqFK++7EeU2Pjde670/J6aLfsNukge0ba0rvaLVuWNO7AQEAAODa8S+lBcOlvAvGebPu0tglUhDfu8G7cvKLtHj3cb275YhSzue6PBdZu5om94rS8I4RCg7w82JCAAAAuESHAR9EhwEAAGBhdBjwMTn5RVr01XG9t/XqHUZErWp64k46DFgTlzUAAFVXUYG0/GHp0Brj3B4gjZwr3XifOblQZX119Kymx8Yr7sczLs8E+tk1rGOEnrizpZrVCfFiOgAAAFxT4nZp4Ugp/6Jx3qKXNGaxFMj3b/CeC7kFmrfzmN7fdlTpWfkuz91Qv4ae7B2lQe0by9/P7sWEAAAAuCo6DPiY3Yln9dYXdBgAAACWRYcBH3Kpw5i97ajOXqPDmBITpYG30GHAurisAQComgrzpGUPSYc/Mc79gqRR86VW95iTC1WO0+nUlp/SNP2LeH2VeNbluWoBfhrbtake69lSDcOCvZgQAAAAZXJks7RojFRwxaOZo/pIoxdKAdVMiYWqJ/1inj7YnqgPdyYqM7fQ5bmbm4Rpaky07mnbQHa7zYsJAQAAcE10GPARlzuM2Hh9dZQOAwAAwLLoMOAj0i/m6f3tRzV3xzFl5tFhoGrgsgYAoOopyJGWjJfiNxrn/sHSmEXFiwjgYQ6HUxsOntL02AQdOHHe5bmawf56sFtzPdS9uerUCPJiQgAAAJTZT59Li8dJRXnG+Q39in/jbQD/oAo8L+V8jt7dckSLvjqu3AKHy3NdWtTW1Jho9bqhrmw2Cg4AAACfQ4cBH0CHAQAAUInQYcAH0GGgKvPaM2GOHz+u3/zmN2rTpo1CQkJUu3ZtdenSRa+99pqys7Ov/QYubN68WTabrVz/6t27d6nv1bx58zJ9fvPmzSucFwBgsryL0oIRJUuOgOrSuGWUHPC4giKHVn6drHv+uUVPzP/aZclRJyRQz9zbWtt/20e/6deakgO4AvsFAMBnHFpb/Nuoriw5bhxQ/BtvKTngYYlpWXp25X71+lusPtie6LLk6N26npY90U1LJ3fTna3qUXIAV2DHAAD4BDoMmKygyKEVe8vWYfxvPzoMwBX2CwCAz6DDgMkS07L02xV0GKjavPJkjU8++UTjxo3T+fP/XeSzs7O1e/du7d69W7NmzdKnn36qli1beiOOWrdu7ZWvAwDwMbkXikuOpF3GeWDN4pKjWTdzcqFKyC0o0vK9yXo7LkHJ53JcnmsUFqzJvVpqVOemqhbo58WEgHWwXwAAfMZ3K6QVj0nOIuP8pqHSA+9JfgHm5EKVcPhUpmZsjtfH+07K4Sz9jM0m9W/XUFN6R6tdkzDvBgQshB0DAOAT6DBgotyCIi3bm6x3ytBhPN6rpUbTYQAusV8AAHwGHQZMdPhUpqbHxmvtfjoMwOOXNfbt26eRI0cqOztbNWrU0LPPPquYmBjl5ORo8eLFeu+993T48GHdf//92r17t2rUqFGu9+/cubMOHDhwzXPTpk1TXFycJOnBBx+86tnBgwfr5Zdfdvl6YGBguTICAHxAzjlp/jDpxF7jPDhMGv+RFNHRnFyo9LLyCrXwy+N6b+sRnc7Mc3mueZ3qerJ3lIZ2iFCgv9cefgZYDvsFAMBnfLtIWj1Fcl7xG4BuGS0Nni75eeV3pKAK2peUobdi4/X5wVSXZ/zsNg2+tbGm9I5SdP2aXkwHWA87BgDAJ9BhwCR0GIB7sV8AAHwGHQZM8m1ShqaXocMYcmsTPdk7StH1y/f9EGBFHv877lNPPaXs7Gz5+/trw4YN6tbtv7/xo0+fPrrhhhv0zDPP6IcfftAbb7yh559/vlzvHxISonbt2l31TEZGhnbtKv4NJNHR0brjjjuuej48PPya7wkAsJCsNGneEOnUFT+4qlZbmrhKatTejFSo5M5nF2jOjkR9sOOoMrILXJ67sWFNTYmJ1v03N5KfnUf4AdfCfgEA8Al7PpDW/krSFb8K6LYHpQH/lOz8gytwL6fTqV1Hzmp6bLy2xae5PBfob9fIThGa3CtKkbWrezEhYF3sGAAA09FhwAQZ2fn6cMexMncY97VrKH8/dl3gWtgvAAA+gQ4DXlaeDmNUp0g93qslHQaqFI/+XXf37t3avHmzJOmRRx4xLCGXPP3002rTpo0k6Z///KcKClz/IKCilixZory84t8CMWHCBLe/PwDAh2WekuYMKFlyhNSXJn1CyQG3O5OZp79+dkh3vLJJ/9j4o8uS49bIcM2a2Emf/U9PDWrfmIsaQBmwXwAAfMKut6W1T6lEydFlsjTwTUoOuJXT6dQXP6Rq2MwdGvPeLpclR/VAPz3eq6W2PROjl4fcTMkBlBE7BgDAdHQY8LJLHUb3V74oU4fx6S+LOwwuagDXxn4BAPAJdBjwoksdxvC3d161wwgJ9NPk/3QYfxrSjg4DVY5Hn6yxatWqyx8/9NBDpZ6x2+2aOHGinn32WZ07d06bN29W37593Zpj7ty5kiSbzcYiAgBVSUaSNHeQdPaIcV6zsfTgGqnuDebkQqWUfC5b7245oiW7k5RX6HB57o6oOpoaE607ourIZuOCBlAe7BcAANNtfV3a9MeS8zt+KfX9o8T3d3CTIodTnx5I0YzNCTqUcsHlubBqAZp0R3M91L25wqsHejEhUDmwYwAATEWHAS8qT4cxLSZa3egwgHJjvwAAmI4OA15S5HDqs+9SND2WDgMoC49e1ti6dauk4sfwdezY0eW5O++88/LH27Ztc+sikpCQoB07dkiSevbsqRYtWrjtvQEAPuzsEenDQdL5JOM8rGlxyVGb/z+AeyScuaiZmxO06psTKnQ4XZ67u019TYmJ1m1Na3kxHVC5sF8AAEzjdEqxf5a2/L3ka3f+n9T7WUoOuEV+oUOrvjmhmXEJOpqW5fJc3RpBeqxnC427vZlqBHn0R7xApcaOAQAwDR0GvIQOA/Ae9gsAgGnoMOAl+YUOrfr2hN7enKAjdBhAmXn0fwWHDh2SJEVHR8vf3/WXuvHGG0t8jrtcujEuSQ8++GCZPmfLli265ZZblJCQIKfTqQYNGqhLly4aM2aMBg8eXOHfIJGcnHzV11NSUir0vgCAK5z+QZo7WLp4yjiv3VKauEYKjzQnFyqV70+e14zYBH36XYqcLvoNu026/5bGmtI7Sm0ahXo3IFAJsV+UxI4BAF7gdErrfy/tml7ytbuel3o+7f1MqHRyC4q0+KvjenfLEZ08n+vyXJPwanqid5RGdIxQcICfFxMClRM7hhH7BQB4CR0GvIAOA/A+9ouS2DEAwAvoMOAFuQVFWrI7Se/EJdBhABXgscsaubm5SktLkyRFRERc9WytWrUUEhKirKwsJSUlXfVsec2fP1+SVK1aNQ0fPrxMn3P06FHDv09MTFRiYqKWLl2q7t27a8mSJWrSpEm5s0RG8oM1APC4lP3SvCFSdrpxXu9GaeJqqWZDU2Kh8tiTeFbTY+MVe/iMyzMBfjY90CFCT/SOUou6IV5MB1Re7BelY8cAAA9zOKRPfi3t/aDka/e+Kt3+hPczoVLJzC3QvF3H9P62o0q7mO/yXMt6IZrSO1qDb22sAD+7FxMClRc7RknsFwDgBXQY8DA6DMAc7BelY8cAAA+jw4CH0WEA7uGxyxqZmZmXP65Ro8Y1z19aRC5evOi2DFu3btWRI0ckSUOHDlVo6NV/G0RgYKAGDRqke+65R+3atVNYWJgyMjK0c+dOzZw5U0lJSdq+fbv69u2rnTt3KiwszG1ZAQBukLxHmv+AlHveOG94izRhlRRSx5RYsD6n06mtP6Vpemy8vjx61uW54AC7Rnduqsd7tVTj8GpeTAhUfuwXAACvKyqUVk+V9i++4gWbNPBNqWPZfjshUJqzWfn6YPtRzdmRqMzcQpfnbmocqmkx0brnpobys/OYesCd2DEAAF5HhwEPcTqd2hafpre+oMMAzMJ+AQDwOjoMeBAdBuBeHn2yxiWBgYHXPB8UFCRJysnJcVuGefPmXf544sSJ1zz/1VdfKTw8vMS8d+/emjZtmoYPH64NGzbo0KFDeumll/TGG2+UK8+1bsSnpKSoS5cu5XpPAMB/JG6TFo6S8q/4gVZEF2ncMqlauCmxYG0Oh1OfH0rV9Nh47U8+7/JczSB/TejWTA/3aKG6NYK8mBCoOtgvSseOAQAeUpgvrXhEOrTGOLf5SUPfkW4ZYU4uWN6p87l6b+sRLfzyuHIKilye69y8lqbGROvOVvVks1FwAJ7AjlES+wUAeBAdBjzA4XBqw8FUzdhMhwGYjf2idOwYAOAhdBjwEDoMwDM8dlkjODj48sf5+a4ff3NJXl6epOJH8blDXl6eli1bJklq3Lix7r777mt+TmlLyCU1a9bU0qVLFRUVpfT0dL377rt65ZVXyrRkXXKtRx0CACroxw3S0glSYa5x3rynNGaxFHTt314C/FxhkUMf7z+pGbEJ+um0699oUzskUA93b64J3ZorrFqAFxMCVQ/7RenYMQDAA/Kzi/eL+I3GuT1AGvGB1GagOblgacfTszUzLkEr9iYrv8jh8lyvVvU0tXeUurbktyoDnsaOURL7BQB4CB0G3KywyKG1+1M0Y3O8fkylwwB8AftF6dgxAMAD6DDgAXQYgGd57LJGzZo1L39clsf2ZWVlSSrb4wDLYvXq1crIyJAkjRs3Tn5+ftf9nmFhYRo9erSmT5+urKws7dmzR3fcccd1vy8A4Dp8/5G04jHJUWCcR/eVRs2TAniMM8our7BIy/cm6+24BCWddf2bbBqGBuuxXi01pkukqgd67NspAD/DfgEA8IrcC9Ki0dKx7ca5f7A0aoF0w7WLbuDnfkzN1IzYeK3Zd1IOp+tz997UUFNjonVzRJj3wgFVHDsGAMAr6DDgRnmFRVqx94TejkvQ8bPZLs/RYQDex34BAPAKOgy4GR0G4B0efbJG3bp1lZaWpuTk5KuePXfu3OVFJDIy0i1ff+7cuZc/Lsvj/cqqbdu2lz8+ceKE294XAFAB3yyQ1kyTnFfc6G0zSBo2S/LnUc4om+z8Qi388rje23pEqRfyXJ5rWru6nuwdpQdua6Ig/+v/ISeAsmO/AAB4XPZZaf4w6eTXxnlgjeLfdtuipzm5YEn7kjI0PTZeGw6mujzjZ7dpcPvGerJ3lG5oUNPlOQCewY4BAPA4Ogy4CR0G4PvYLwAAHkeHATfan5yht76gwwC8xaO/RqFNmzbaunWr4uPjVVhYKH//0r/cDz/8YPic63X69GmtX79eknTbbbepXbt21/2elzidV7k+BgDwni/flT7735Lz9mOkQW9JfvymIFzb+ZwCfbgjUR9sP6pz2QUuz7VqUENTY6J1/82N5O9n92JCAD/HfgEA8JjMVGneEOn0QeM8OFwav0KK6GRGKliM0+nUl0fPanpsvLb+lObyXKCfXSM6RWhyryg1rVPdiwkBXIkdAwDgMXQYcIPzOQWauyNR79NhAJbAfgEA8Bg6DLgBHQZgHo/+FKhHjx7aunWrsrKytHfvXnXt2rXUc3FxcZc/7t69+3V/3YULF6qwsFCSe2+MS9LBg//9P7zGjRu79b0BAGW09XVp0x9Lzjs/KvX/u2TnB9G4urSLeZq97ajm7Tymi3mFLs+1jwjT1Jho3d2mgex2mxcTAigN+wUAwCMyjktzB0tnjxjnIfWkCaukhu4ruFE5OZ1ObT58RtNj47Xn2DmX56oH+mlc16Z6tGdLNQgN9mJCAK6wYwAAPIIOA9eJDgOwJvYLAIBH0GHgOjmdTm3+8Yymf0GHAZjFo5c1hgwZor/+9a+SpA8++KDURcThcFx+HF94eLhiYmKu++teej9/f3+NHTv2ut/vkvPnz2vJkiWSpOrVq6tTJ24kAoBXOZ3Sppekbf8o+VqPX0l3vSDZ+GE0XDuZkaN3txzRoq+OK6/Q4fLc7S1ra1rMDeoeXUc2/jsF+Az2CwCA26XFF5ccF5KN89AIaeJqqW60OblgCUUOp9Z/f0rTY+P1/ckLLs+FBvtrUvcWeuiO5qoVEujFhACuhR0DAOBWdBi4TnQYgLWxXwAA3I4OA9eBDgPwHR79tR1dunRRz549JUmzZ8/Wzp07S5x5/fXXdejQIUnS//zP/yggIMDw+pw5c2Sz2WSz2fTiiy9e82t+//33+uabbyRJ/fv3V7169cqUdd26dcrJyXH5emZmpkaOHKn09HRJ0iOPPKKgoKAyvTcAwA0cDumTX5dectz1vHT3i5QccOloWpaeWb5Pd/49VnN2JLosOfrcWF8rnuymxY93U48b6lJyAD6G/QIA4FYp+6X3+5UsOWq3lB7+jJIDLhUUObR8b7L6/iNOUxZ87bLkqFsjUP93743a/ts++nXfVpQcgA9ixwAAuA0dBq4DHQZQObBfAADcig4DFUSHAfgejz5ZQ5LefPNNde/eXTk5Obrnnnv0u9/9TjExMcrJydHixYv17rvvSpJatWqlp59++rq/3ocffnj54wcffLDMn/fKK69o3LhxeuCBB9SjRw9FRUWpRo0aysjI0M6dOzVz5kwlJSVJklq3bl2mpQgA4CZFBdKqJ6UDy0q+1v9vUtfJ3s8ESziUckHTY+P16YEUOZyln7HZpPtubqQpvaN0U+Mw7wYEUG7sFwAAtzi+S1owUso7b5zXbytN+Eiq2dCcXPBpuQVFWrYnSW/HHdGJDNf/QEOT8GqafGdLjewUqeAAPy8mBFAR7BgAgOtGh4EKosMAKh/2CwCAW9BhoALK2mE0DgvW5DujNKozHQbgLR6/rNGhQwctWbJE48eP14ULF/S73/2uxJlWrVrpk08+Uc2aNa/razkcDi1cuFCSVKtWLQ0YMKBcn3/27FnNmjVLs2bNcnmmV69eWrhwoWrXrn1dWQEAZVSQIy2bJP24zji32aVBb0kdxpkSC77t6+PnNP2LeG364bTLM/52m4Z2aKIne0epZb0aXkwH4HqwXwAArlv8JmnJeKkg2zhvfJs0foVUnb8nw+hiXqEW7Dqm97YeVdrFPJfnWtYN0ZO9ozT41iYK9PfoA40BuBE7BgDgutBhoALoMIDKi/0CAHDd6DBQTuXpMJ7oHaUhdBiA13n8soYkDRw4UPv379ebb76pTz75RMnJyQoMDFR0dLRGjBihadOmqXr16tf9dTZt2qQTJ05IkkaNGlWuR/C99tpr2rRpk3bu3KnDhw8rLS1NGRkZql69uho3bqyuXbtqzJgxuueee3icKAB4S16mtGiMlLjVOPcLlIbNltoOMicXfJLT6dSOhHS99UW8dh5Jd3kuyN+u0Z0j9Vivloqodf3ffwDwPvYLAECFHVwtLX9EchQY5817SmMWSUHXV5KjcjmXla8PdiTqwx2JOp9T4PJcm0ahmhoTpf7tGsnPzv+vA1bEjgEAqBA6DJQDHQZQdbBfAAAqjA4D5VCeDmNaTLTubdeQDgMwic3pdLp4oCa8LTk5WZGRkZKkpKQkRUREmJwIAEyUfVaaP0w6+bVxHlBdGr1AiupjTi74HIfDqU0/nNZbsfHal5Th8lyNIH+Nv72ZHunRQvVqlv2HlUBVx/eo1safHwD8zDfzpTW/kJwO47xVf2nEHCkg2JRY8D2nL+Tqva1HtODL48rOL3J5rmOzWpoWE63erevxDy4A5cD3qNbFnx0A/AwdBsqIDgPwLL5HtTb+/ADgZ+gwUEZl7TBuaxquaX2iFdO6Ph0GUA6e+B7VK0/WAACgXM6fkOYNldIOG+fBYdLYZVLTrubkgk8pLHLokwMpmhGboMOpmS7PhVcP0MPdW+jBbs0VVj3AiwkBAADgM3a8JW34fcn5zSOlITMkP75PhJR0NltvxyVo2d5k5Rc6XJ7reUNdTY2JVtcWtSk4AAAAqiI6DJQBHQYAAADKjA4DZUCHAVgXlzUAAL4lPUGaO0Q6f9w4D6knTfhIanizKbHw/+zdd3hUZfrG8Xtm0jsJNYSSIh0BQZCeuIpdbKgIKipICbu61dX96bq77q5ucXXXgFIEFVHsvWBJQpWmAiqoaYRQAiSk95nz+yOIhsmB1JlJ8v1cl9eVPe8z5zyQJZn33POe13NU1tj1+ucHtDg1Xfvyykzrugb76s5JMZo+urcCfXnLAwAA0CEZhvTpQ9L6fzmPjbpDuvRfktXq+r7gUdKOFGtRcrre3HlQdof5JsRTBnXTgoQ4De8V5rrmAAAA4FnIMHAGZBgAAABoMDIMNAAZBtD2MesHAHiOQ7ukVddIpUfrHg+Jkm55U+oc556+4BHKqmr0wtb9WrouQ4eLKkzreoX7a97kWF03Mkq+XjYXdggAAACP4nBI7/1G2r7ceWzCL6Wf/VHiiUId2u6cQiUlp+nDbw7LMMk3rBbpymGRWpAQp37dgl3bIAAAADwLGQZOgwwDAAAAjUKGgTMgwwDaDxZrAAA8w77N0uobpMrCusc796t9GlVolHv6gtsVllfruc1ZenpjlvJLq0zrzuoapAUJsbri7Eh52XiyAAAAQIdWUyW9MU/66lXnsQv/LI2/y/U9wWNszczXE8lpWvfdUdMaH5tV146M0rzJMeoTEejC7gAAAOCRyDBgggwDAAAAjUaGgdMgwwDaHxZrAADc77u10ku3SDXldY/3GC7NfFUK7OyWtuBeeSWVenpjpp7dtE/FlTWmdUN7hioxIU5TBnWT1cpTBQAAADq8qrLa+UXaR3WPW6zS5Y9JI291S1twL8MwlPrdUSUlp2lb1nHTOn9vm24a01tzJsaoe6ifCzsEAACAxyLDQD2OlVTq6Q2Zem4zGQYAAAAagQwD9SDDANo3FmsAANxr9yvS63Mlxyk3svtMkKa/IPmFuKcvuM2hwnItWZehF7Zmq6LaYVo3JjpciQlxmnhWZ1nY+hEAAACSVF5Q+7Tb/Z/VPW71lq5dJg2+yh1dwY0cDkMffn1YSSlp+upAkWldsJ+XZo3rq9vGRys80MeFHQIAAMCjkWHgFIcKy/VUaoZe3EaGAQAAgEYiw8ApyDCAjoHFGgAA99m6VHrvt5KMusf7Xypd97Tk7e+WtuAeWcdK9WRqul79PEfVdsO0LqF/FyUmxGlU33AXdgcAAACPV3xYWnWtlPtV3ePegdKNq6TY893TF9yi2u7Q2zsPalFKutKOlJjWRQT66I6J0br5vD4K9vN2YYcAAADweGQY+ImsY6VanJKu174gwwAAAEATkGHgJ8gwgI6FxRoAANczDCnlYSn1YeexYdOlK5+QbPyK6ij2Hi7SouR0vbProBwm+YbFIl06pIfmx8dqSM9Q1zYIAAAAz5efIT13tXQ8q+5xvzBpxitSr3Pd0RXcoKLarpd35Oip1HTlHC83rYsM9dOdk2J0w7m95e9jc2GHAAAA8HhkGPgJMgwAAAA0GxkGTiDDADom7iIBAFzL4ZDe/620bZnz2Jh50kV/l6xW1/cFl/tyf4Ge+DRNH+/JNa2xWS26anhPzY+PVVzXIBd2BwAAgDbj8G7puWuk0iN1jwd1l25+Xeo2yD19waVKK2v0/JZ9Wro+U0eLK03rojsHav7kWF01oqd8vJh7AgAA4BRkGDiBDAMAAAAtggwDqs0wVm/J1tL1GTpChgF0OCzWAAC4Tk2V9Ppc6evXnMcS/k+a9Jvaxw+h3TIMQ5sz8pSUnKaNaXmmdT5eVt0wqpfunBSjXuEBLuwQAAAAbcq+TdLqG6XKwrrHw2NqQ45Ofd3SFlynoKxKz2zapxWbMlVQVm1aN6B7sBYkxOmyoT1kszLvBAAAQD3IMDq8HzKMRcnp2pB2zLSODAMAAAANQobR4RWUVWnlpiyt3JRFhgF0YCzWAAC4RmWJ9NLNUvqnpwxYpMv+LZ17h1vagmsYhqFP9x7RE8lp+iK7wLQu0Memmef10R0TotU1xM91DQIAAKDt+fZ96eVZUk1F3ePdh0ozX5OCurqlLbjGkeIKLV+fqVWf7VNpld20bnivMC1MiNPPBnaVhQ/WAQAAwAwZRof2Q4aRlJymzxuSYUyMVtdgMgwAAACcBhlGh3akuELLN2Rq1WYyDAAs1gAAuEJZvvT8NOnA9rrHrd7SNUukIde4py+0OrvD0Hu7DykpOU17Dxeb1oX6e+u28X01a1xfhQX4uLBDAAAAtElfrpbeXCgZp9zg7jNBmr5a8gt1T19odTnHy/RUaobWbN+vqhqHad34uAglxsdpbGwEAQcAAABOjwyjwyLDAAAAQKsgw+iwco6Xacm6DK3Ztl+VZBgATmCxBgCgdRXsl1ZdIx37ru5x70DpxlVS7Pnu6QutqqrGoTe+OKDFqenKPFZqWtcl2FdzJkbrpjF9FOTL2xIAAACcgWFIGx+XPv6j81j/y6Trnpa8ebppe5R2pESLU9L15pcHVOMwTOsuGNhNCxJidU7vTi7sDgAAAG0WGUaHRIYBAACAVkGG0WGlHSnRk6npeuMLMgwAzrijAABoPUf2SM9dIxUfrHvcP1ya8YoUNdI9faHVlFfZtWZbtpasy9DBwgrTuqhO/po7KUbTRvWSn7fNhR0CAACgzXI4pI/ulzY/4Tw2fKZ0xeOSjVtd7c1XBwq1KCVN7391WIZJvmG1SJefHan58bEa2CPEtQ0CAACg7SLD6HAalWFMjtW0kVFkGAAAAGgYMowOiQwDQEPw0x8A0Dqyt0irr5cqCuoeD+kp3fy61KW/W9pC6yiqqNaqz/Zp+fpM5ZVWmdbFdgnUgvg4XTk8Ut42qws7BAAAQJtmr5beTJR2rXEeG/cL6cI/S2wT3a5sz8rXE8lpSvn2qGmNt82ia8+J0rzJserbOdCF3QEAAKDNI8PoUMgwAAAA0KrIMDqcxmQYcyfHKpoMA+jQWKwBAGh5334gvTxLqimve7zLAGnmq1JolFvaQsvLL63Sio2ZWrkpS8UVNaZ1Q3qGKDE+ThcN7i6rlQkoAAAAGqGqVHrpFintY+exKQ9J437u+p7QKgzD0Prvj+mJ5DRtzcw3rfPztmr66N66c1KMeoT6u7BDAAAAtAtkGB0GGQYAAABaHRlGh9HYDGPOxBhFhpFhAGCxBgCgpX3xvPTWzyXDXvd4rzHS9BelgHD39IUWdbiwQkvXZ2j1lmyVV9tN60b3DdeChFhN7tdFFp4SAAAAgMYqzZNWT5MO7Kh73OolTV0kDbvBPX2hRTkchtZ+k6tFKWnalVNoWhfs66VbxvXRbeOj1TnI14UdAgAAoN0gw+gQyDAAAADgEmQYHUJjM4zbx0crggwDwE+wWAMA0DIMQ9r4mPTxg85jZ10kTVsp+QS4uCm0tH15pXoyNUOv7shRld1hWje5XxclJsRpdDTBFgAAAJqoIFtada107Lu6x70DpOuflc660D19ocXU2B16e9dBLUpO1/dHSkzrwgN9dMeEaN08to9C/Lxd2CEAAADaDTKMDoEMAwAAAC5DhtHuNTbDmHleH4X6k2EAcMZiDQBA8zkc0of3SluedB4bdpN05X8lG29G27JvDxdrcUqa3tp5UA6j/hqLRbp4cHctiI/T0KhQ1zYIAACA9uXwV7UhR8nhusf9O0kzXpGiRrmnL7SIimq7Xv08R0+mpmt/frlpXfcQP905KUbTR/eWv4/NhR0CAACgXSHDaPfIMAAAAOBSZBjtGhkGgJbGYg0AQPPUVEqvz5W+ft15bPxd0gV/qr0DjjZp5/4CJSWnae03uaY1NqtFU4dHakF8rOK6BruwOwAAALRLWRukF26SKk/ZSjokSrr5NalLf/f0hWYrq6rR6i3ZWrIuQ0eKK03r+kQEaP7kWF19Tk/5ehFwAAAAoBnIMNo1MgwAAAC4HBlGu0WGAaC1sFgDANB0FYXSizOkrPXOY1P+Ko1b6Pqe0GyGYWhLZr6SktO0/vtjpnU+XlZdPypKcyfFqlc428MDAACgBXz9hvTaHMleVfd4l4HSzFel0J5uaQvNU1hWrWc2Z2nFxkwdL6s2revfLVgLEmJ12dAe8rJZXdghAAAA2iUyjHbJMAx9lpGvRSlkGAAAAHAxMox2iQwDQGtjsQYAoGmKD0urrpNyd9c9bvWWrn5SGnqde/pCkxmGoZRvj+qJ5DTt2HfctC7Ax6YZY3przsQYdQ3xc2GHAAAAaNe2LpXe+60ko+7x3uOk6atrtw9Hm3K0uFJPb8zUc5v3qaSyxrRuWK8wLUyI088GdJXVylONAQAA0ALIMNodwzCU/O0RJSWnk2EAAADA9cgw2h0yDACuwmINAEDjHUuTVl0tFWTXPe4TJN2wSopNcE9faBK7w9AHXx1WUnKavjlUZFoX4uelWeOjddu4vuoU6OPCDgEAANCuGYb06V+k9f92HhtwuXTtMsnb3/V9ockOFJRrSWq6Xty2X5U1DtO6sTERSkyI0/i4CFksBBwAAABoIWQY7YrdYej9rw4pKTlde8gwAAAA4GpkGO0OGQYAV2OxBgCgcfZvlVbfIJXn1z0e2FWa8bIUOdwtbaHxqu0OvfHFAS1OTVfG0VLTus5Bvpo9MVozxvRWsJ+3CzsEAABAu2evlt76hbRztfPYqNulS/8lWW2u7wtNknG0RItT0vX6FwdU4zBM6342oKsWJMRpZB+eNAYAAIAWRobRbpBhAAAAwO3IMNoVMgwA7sJiDQBAw+19V3rldqmmou7x8Bhp5mtSeLR7+kKjVFTb9dL2/XoqNUMHCspN63qG+Wvu5BhdP6qX/LyZXAIAAKCFVRZLL90qpX/iPJbwB2nSbyWeVNQmfHOwSEkpaXpv9yEZJvmGxSJdNrSHFsTHaVBkiGsbBAAAQMdAhtEukGEAAADAI5BhtBtkGADcjcUaAICG2f609O6vJeOU7d8iR0g3vSwFdXFPX2iw4opqPb8lW8vWZ+pYSaVpXUznQM2Lj9XVI3rK22Z1YYcAAADoMIpzpdXTpEM76x63WKXL/yONnOWWttA4O/YdV1Jymj7de8S0xstq0TXn9NS8ybGK6RLkwu4AAADQoZBhtHmNyTDmx8fqKjIMAAAAtBYyjHaBDAOAp2CxBgDg9AxDSv6rtO6fzmNxF0rTVkq+vFn1ZMdLq7RiU5ZWbsxUUUWNad2gHiFKTIjTxUO6y2Zl9T8AAABaybE0adU1UsG+use9/KVpK6T+l7inLzSIYRjamJanJ5K/12cZ+aZ1vl5WTR/dW3MmxahnmL8LOwQAAECHQobR5pFhAAAAwKOQYbRpZBgAPBGLNQAA5uzV0tt3SV8+7zw2fKZ0xWOSzdvlbaFhjhRVaOn6DD2/JVtlVXbTupF9OmlhQpzi+3eRhS0aAQAA0Jr2b5NWXy+Vn3KDPCBCuuklKWqUe/rCGTkchj7ek6uk5DTtzCk0rQvy9dLNY/vo9vHR6hLs68IOAQAA0OGQYbRpuUUVWkaGAQAAAE9ChtFmncwwUtK1c3+BaR0ZBgB3YLEGAKB+lcXSS7dK6Z84j036nZRwn8RNcY+0P79MT6am6+XtOaqyO0zrJp7VWYkJcRoTHU7AAQAAgNa39z3pldulmvK6xzv1lWa+JkXEuqUtnF6N3aF3dx/SouR0fZtbbFrXKcBbt4+P1i1j+yo0gA/EAQAAoJWRYbRZZBgAAADwSGQYbRIZBoC2gMUaAABnxYel56dJh3fVPW6xSpc9Ko26zT194bS+zy3W4pR0vbnzoOwOw7TuosHdlJgQp7OjwlzXHAAAADq2rUul938nGad8EKfHcGnGy1JQV7e0BXOVNXa99vkBPZmarn15ZaZ13UJ8NWdijKaP7q1AX241AgAAwAXIMNqkxmQYC+LjNKxXmOuaAwAAQMdGhtHmkGEAaEv46QMAqOvIXun566TC/XWPe/lL01ZI/S9xT18w2tYEkAAAxEhJREFUtTunUEnJafrwm8MyTPINm9WiK4dFan58rPp1C3ZtgwAAAOi4HA7pkweljY87j8VdIE17RvINcnlbMFdWVaMXtu7X0nUZOlxUYVrXOzxA8ybH6tqRPeXrZXNhhwAAAOjQyDDanB8yjA++PmxaQ4YBAAAAtyDDaHPIMAC0RSzWAAD8KGuD9OJNUkVh3eMBEdL0NVKvc93TF+q1NTNfTySnad13R01rfGxWXTcqSvMmxap3RIALuwMAAECHV1MpvTFf+upV57HhM6UrHpNsbDXtKQrLq/Xc5iw9vTFL+aVVpnVndQ1SYkKcLj+7h7xsVhd2CAAAgA6PDKNN2ZKRp6SU9AZlGHMnxahPRKALuwMAAECHR4bRpjQ0w+jXLUjz42N1xdmRZBgAPAaLNQAAtXa/UjsJsZ/yhrZTtDTzVSki1j19oQ7DMJT63VElJadpW9Zx0zp/b5tuGtNbcybGqHuonws7BAAAACSVH5denCnt2+A8Fn+vNPkeyWJxfV9wkldSqeUbMvXc5n0qrqwxrTs7KlSJCXG6cGA3Wa187wAAAOBiZBhtQmMyjBljemvOpBh1CyHDAAAAgIuRYbQZZBgA2gMWawBAR2cY0qb/SR/d7zzWc5R00xopsLPr+0IdDoehD78+rKSUNH11oMi0LtjPS7PG9dVt46MVHujjwg4BAACAEwr2S89fJx3dW/e4xSZd8bh0zs3u6Qt1HCos15J1GXpha7Yqqh2mdefFhCsxIU4T4jrLQjgFAAAAVyPDaBMammGEnMgwZpFhAAAAwF3IMNoEMgwA7QmLNQCgI7PXSB/cI21b5jzW/zLp2mWST4Dr+8JJ1XaH3vryoBanpivtSIlpXUSgj+6YGK2bz+ujYD+2YQQAAICbHPxSWn29VJJb97hPkHT9M1LcBW5pCz/KOlaqJ1PT9ernOaq2G6Z1Cf27KDEhTqP6hruwOwAAAOAnyDA83g8ZxqKUNKUfLTWt6xzkozsmxGjmeb3JMAAAAOA+ZBgejwwDQHvEYg0A6KgqS6RXbpe+/9B5bPSd0sUPS1ab6/uCJKmi2q6Xd+ToqdR05RwvN62LDPXTnZNidMO5veXvw/cLAAAAbvTdh9LLt0nVp3xAJ6i7NONlqcfZ7ukLkqS9h4u0KDld7+w6KIdJvmGxSJcO6aEFCbEaHBnq2gYBAACAnyLD8GiNyTDmTo7V9aN6kWEAAADAvcgwPBoZBoD2jMUaANARFR+uXSl+aKfz2IV/kcb9vPYdLlyupLJGq7fs09L1mTpaXGlaF905UPMnx+qqET3l42V1YYcAAABAPbYtk977rWScshV1lwHSjFeksF7u6Qv6Ivu4kpLT9PGeI6Y1XlaLrhrRU/PjYxXbJciF3QEAAAD1IMPwWGQYAAAAaJPIMDxWbYaRro/35JrWkGEAaOtYrAEAHc2RPdLz06TC/XWP23ylq5+Uhlzjnr46uIKyKq3clKWVm7JUUFZtWjege7ASE+J06dAeslkJowAAAOBmDof08R+lTf91Hus7UbphleQf5vK2OjrDMLQ5PU9PJKdpU3qeaZ2Pl1U3nttLcybGqFd4gAs7BAAAAEyQYXikHzKMFRuzVFh++gxjQUKcLiPDAAAAgCcgw/BIP2QYSSlp2phGhgGg/WOxBgB0JBmp0pqbpcrCusf9O0k3viD1GeuevjqwI0UVWr4hU6s+26fSKrtp3YjeYVqYEKfzB3SVhSeGAQAAwBNUV0ivz5W+ecN57OwbpSv/J3n5uLytjswwDH2y54ieSE7Tl/sLTOsCfWyaObaP7pgQra7Bfq5rEAAAADgdMgyPQ4YBAACANosMw+P8kGEkpaTpi+wC0zoyDADtDYs1AKCj+PIF6a2fS45TnnjUqa8041Wpc5xb2uqo9ueX6al16Xppe46qahymdRPiOmtBQqzGxkQQcAAAAMBzlOZJL94k7f/MeWzS76SE+yTev7qM3WHo3d2HtCg5TXsPF5vWhQV467Zx0bp1XB+FBRBCAQAAwIOQYXiU/fllWrIuQ2u27yfDAAAAQNtDhuFRyDAAdHQs1gCA9s4wpJS/S6mPOI9FnStNf1EK7Oz6vjqotCMlWpySrje/PKAah2Fad+GgbloQH6sRvTu5sDsAAACgAY6lSc9fJx3PrHvc6iVd/ph0zs1uaasjqqpx6PUvcrQ4JV1ZeWWmdV2CfTVnYrRmjOmjQF9uBwIAAMCDkGF4lLQjJVqUkqY3vzwoOxkGAAAA2iIyDI/RmAzjzokxumlMbzIMAO0SP9kAoD2rqZTeTJR2v+w8NvAK6Zqlkre/6/vqgL46UKik5DR98PVhGSb5htUiXTEsUvPjYzWge4hrGwQAAAAaImtj7dOoKgrqHvcJlm54Voo93y1tdTTlVXa9uC1bS9Zl6FBhhWldVCd/zZ0cq2kjo+TnbXNhhwAAAEADkGF4DDIMAAAAtAtkGB6hMRnGvMmxuo4MA0A7x2INAGivyvKlF2dI2Zucx85LlKb8RbLyRre1bc/K1xPJaUr59qhpjbfNomvPidK8ybHq2znQhd0BAAAAjbDrpdoPUtmr6h4P6Snd9JLUfYh7+upAiiqq9dzmfXp6Q6bySqtM6+K6BmlBfKyuGBYpb5vVhR0CAAAADUSG4RG2ZeXriU/TlPrd6TOM60ZGae4kMgwAAAB4MDIMtyPDAID6sVgDANqjvHTp+WlSfnrd4xardMk/pNFz3NNXB2EYhtZ/f0xPJKdpa2a+aZ2ft1XTR/fWnZNi1COUp4MBAADAQxmGlPoPKeVvzmM9hknT10ghPVzfVweSV1KpFRuz9MzmLBVX1JjWDekZooUJcZoyqLusVosLOwQAAAAagQzDrQzD0Lrvjynp0zRtzTp9hnHT6D6aMymaDAMAAACeiwzD7RqTYSTGx+miwWQYADoWFmsAQHuT/Zn0wnSp/JQb7D5B0nUrpH5T3NNXB+BwGFr7Ta4WpaRpV06haV2wr5duHddXt43vq4ggXxd2CAAAADRSTZX09i+knS84j/W7RLpuueTDk1Vby6HCci1dl6kXtmarvNpuWje6b7gSz4/TpLM6y2Ih4AAAAIAHI8Nwm9oM47CSktO1+wAZBgAAANoBMgy3IsMAgIZhsQYAtCdmW/oFR0o3rZF6nO2evtq5GrtDb+86qEXJ6fr+SIlpXXigj+6YEK2bx/ZRiJ+3CzsEAAAAmqAsX1ozU9q30XlszHzpor9KVpvr++oAso6V6ql16XplR46q7YZp3eR+XZSYEKfR0eEu7A4AAABoIjIMt6i2O/T2zoNalJKutNNkGBGBPrqdDAMAAABtBRmG25BhAEDjsFgDANoDw5BSHpZSH3Ye6z5UuuklKSTS9X21cxXVdr36eY6eTE3X/vxy07oeoX66c1KMbjy3t/x9mAgCAACgDTiWJq2eJuVn1D1usUoXPyyNmeuevtq5bw8Xa1FKmt7eeVAOk3zDYpEuHtxdiQlxGtIz1LUNAgAAAE1BhuEWFdV2vbKjNsPIOU6GAQAAgHaEDMMtyDAAoGlYrAEAbV11Re2TqL56xXnsrIuk656WfINc31c7VlpZoxe2ZmvJugwdKa40resbEaD58bG6ekSUfLysLuwQAAAAaIbM9bVPo6ooqHvcO7B2ftH/Yre01Z7t3F+gJ5LT9NE3uaY1NqtFU4dHakF8rOK6BruwOwAAAKAZyDBcrqEZRp+IAM2fHKtrziHDAAAAQBtChuFyZBgA0Dws1gCAtqz0mPTiTdL+Lc5jbOnX4grLqvXM5iyt2Jip42XVpnUDugdrQUKcLh3SXV42Ag4AAAC0IV+skt6+W3Kc8n43OFK6aY3U42y3tNUeGYahzzLytSglTeu/P2Za5+Nl1fWjojR3Uqx6hQe4sEMAAACgmcgwXKqhGUb/bsFakBCry4b2IMMAAABA20KG4TJkGADQclisAQBt1dFvpeenSQX76h63WKVL/iGNnuOevtqho8WVWr4hU6s+26eSyhrTuuG9wrQwIU7nD+gqq9Xiwg4BAACAZnI4pE//Im141HmsxzBp+hoppIfr+2qHDMNQ8rdHlJScrh37jpvWBfjYNPO8PrpjQrS6hfi5sEMAAACgBZBhuExDM4xhvcKUGB+rCwZ2I8MAAABA20KG4TJkGADQ8lisAQBtUdon0su3SZWFdY/7BEvTVkhnXeievtqZAwXlWpKarhe37VdljcO0blxshBIT4jQuNkIWCwEHAAAA2piqUun1edKet5zH+l8mXbtU8gl0fV/tjN1h6P2vDikpOV17DhWZ1oX6e2vWuL6aNa6vOgX6uLBDAAAAoIWQYbhEQzOMsTERWng+GQYAAADaKDIMlyDDAIDWw2INAGhrti6V3r9HMux1j4f2qt3Sr9tg9/TVjqQfLdGTKel6/YsDqnEYpnU/G9BViefH6ZzenVzYHQAAANCCig5KL9woHdrpPDbu59IFf5KsNtf31Y5U2x16/YsDejIlXRnHSk3rOgf5as7EaM04r4+CfLllBwAAgDaKDKPVNTTDuGBgV82Pj9PIPmQYAAAAaKPIMFodGQYAtD6rqy6UnZ2t3/zmNxo4cKACAwMVHh6u0aNH61//+pfKysqade4HH3xQFoulQf+lpKSc8Xx5eXn64x//qGHDhik0NFQhISEaNmyY/vjHPyovL69ZvQJAk9lrpPd+K733G+eQo+dIafYnhBzN9M3BIiWu/lwXPJqql3fk1BtyWC3SFcMi9f5dE7V81rks1AAAN2F+AQAt4OCX0tLznUMOi026/DFpykOEHM1QUW3XM5uyFP/PFP3ulV2mIUfPMH/9ZepgbbgnQXMnxxJyAICbMMcAgGYiw2h1Xx8sbHCG8d4vJmrZreeyUAMA3IT5BQC0ADKMVkWGAQCu45KfnO+++65mzJihwsIft7otKyvTtm3btG3bNi1btkzvvfeeYmJiXNHOaW3btk1Tp07VoUOH6hzftWuXdu3apWXLlunNN9/UqFGj3NQhgA6porB2y/D0T5zHBl8tTV0k+QS4vq92Yse+fCUlp+vTvUdMa7xtFl0zIkrz4mMV3ZntEwHAnZhfAEAL+OYt6bU7pZryusf9QqVpz0ixCe7pqx0orqjWqs+ytXxDho6VVJnWxXQJ1IL4OE0dHilvm8uepwIAqAdzDABoJjKMVkWGAQBtC/MLAGgBZBithgwDAFyv1Rdr7Ny5U9dff73KysoUFBSke++9VwkJCSovL9eLL76opUuX6ttvv9Vll12mbdu2KSgoqFnX271792nHo6OjTccOHDigK664Qrm5ufLy8tKvfvUrXX755ZKkd955R48++qgOHjyoyy+/XDt27FDPnj2b1SsANEh+prT6BunYt85jk++RJv9esvKmuLEMw9CGtGNKSk7TZxn5pnV+3lbdeG5v3TkpRpFh/i7sEABQH+YXANBMhiFteFT65M/OY+Ex0k0vSZ3Pcn1f7cDx0iqt2JiplZuyVFRRY1o3ODJEiQlxumhwd9msFhd2CACoD3MMAGgmMoxWQYYBAG0T8wsAaCYyjFZDhgEA7tPqizXuvvtulZWVycvLS2vXrtXYsWNPjp1//vk666yz9Lvf/U579+7Vo48+qgceeKBZ1xsyZEiTX/uHP/xBubm5kqTVq1dr2rRpJ8cmTpyoUaNG6frrr1dubq7uv/9+Pf30083qFQDOKGujtGamVH7KjXibrzQ1STp7Wv2vgymHw9DHe3KVlJymnTmFpnXBvl66eWwf3T4hWp2DfF3YIQDgdJhfAEAzVFdIb98l7XrReazvROn6Z6WAcNf31cblFlVo6boMrd6arbIqu2ndqD6dlJgQp/j+XWSxEHAAgKdgjgEAzUCG0eIcDkMf7cnVIjIMAGiTmF8AQDOQYbQKMgwAcL9WfYzJtm3blJKSIkm644476kxCfvDrX/9aAwcOlCQ99thjqq6ubs2WTOXm5mrVqlWSpIsuuqjOJOQH06ZN00UXXSRJevbZZ09OWgCgVXz+rPTsVOeQI7CLNOsdQo5GqrE79MYXB3Tx4+t053M7TEOO8EAf/WZKP234/fn63cUDCDkAwIMwvwCAZig5Ij1zRf0hx4ibpZmvEXI00v78Mv3h9d2a+Eiylm3INA05JvXrojV3nqdX5o9TwoCuhBwA4EGYYwBAM5BhtKifZhhzT5NhdArwJsMAAA/F/AIAmoEMo8Vl55XpPjIMAPAIrbpY44033jj59W233VZ/A1arbrnlFknS8ePHT05cXO2tt96S3V77C8msV0maNWuWJMlut+utt95yRWsAOhqHXfrgPumtn0uOU27OdB0szflU6jXaPb21QZU1dq3ekq3z/52qu9d8qe9yS+qt6xbiq/+7bKA23JOgheefpVB/bxd3CgA4E+YXANBEh3ZJSxKknK2nDFikKQ9JV/5P8vJxS2tt0fe5xfrVmi8V/68UPb8lW1V2R711Fw/urrcWjtezt4/WmJgIF3cJAGgI5hgA0ARkGC2qMRnG/ZcP0sbfn0+GAQAeivkFADQRGUaL+j63WL9c86US/p2i1WQYAOARvFrz5OvXr5ckBQYGauTIkaZ1kydPPvn1hg0bdOGFF7ZmW/X6oddT+znVqb3OmTOnVfsC0MFUFEqv3C6lfew81u9i6dplkm+w6/tqg8qqarR6S7aWrs9QblGlaV3v8ADNj4/VNef0lK+XzYUdAgAai/kFADTBnrel1+6UqsvqHvcJqp1f9L/EPX21QbtzCpWUnKYPvj5sWmOzWjR1WKTmxceqXzfmbgDg6ZhjAEAjkWG0GDIMAGh/mF8AQBOQYbSY3TmFeiL5e334tflOSGQYAOAerbpYY8+ePZKkuLg4eXmZX2rAgAFOr2mqCy+8UJ9//rmKi4sVFhamQYMG6eKLL9bcuXPVqVOnM/YaGhqq7t27m9b16NFDISEhKioqanSvOTk5px0/dOhQo84HoJ3Jz5BW3ygd+9Z5bNwvpAselKzciD+TwvJqPbspS09vzNTxMvNtY/t1C9KC+DhdfnYPedladaMpAEALYX7hjDkGAFOGIa3/t/TpX5zHwnpL01+Uug12fV9t0JaMPCWlpGvdd0dNa3xsVl03KkrzJsWqd0SAC7sDADQHc4y6mF8AOC0yjBbRmAwjMSFOlw0lwwCAtoL5hTPmGABMkWG0mIZmGNNGRWkuGQYAuEWrLdaoqKjQsWPHJElRUVGnre3UqZMCAwNVWlqq/fv3N+u6H3/845Ncjh49qtTUVKWmpuqRRx7RypUrNXXq1Hpf98N1z9SrJPXq1Utff/11o3vt1atXo+oBdCCZ66SXbpHKj9c9bvORLn9MGjHDLW21JcdKKrV8Q6ae27xPJZU1pnVnR4UqMSFOFw7sJqvV4sIOAQDNwfzC/LUA4KS6XHrr59Lul53Heo+VblglBXZ2fV9tiGEYSvnuqBYlp2lb1nHTugAfm2aM6a3ZE2PULcTPhR0CAJqLOUb9rwOAepFhNFtDM4xhJzKMC8gwAKBNYX5h/loAcEKG0WxkGADQtrTaYo3i4uKTXwcFBZ2x/oeJSElJSZOuN3ToUF111VUaPXq0IiMjVV1drW+//VbPP/+81q5dq4KCAl177bV6++23dcklzttj/dBvQ3uV1OReAaCOrUul9++RDHvd4wGdpRufl3qf556+2oiDBeVasi5DL27LVkW1w7TuvJhwLUw4S+PjImSxEHAAQFvD/AIAGqjooPTiTdLBL5zHhs+ULn9U8vJ1fV9thMNh6IOvDyspOU1fHywyrQvx89Ks8dG6bVxfdQr0cWGHAICWwhwDABqIDKNZfsgwXtiarcqa02cYiQlxmhDXmQwDANog5hcA0EBkGM1idxj6sBEZxqxxfRVOhgEAbteqO2v8wMfnzD/wfX1rf8mWl5c3+lp33323HnzwQafjY8aM0S233KKnnnpK8+bNk91u1+zZs5WWliZ/f/96+23NXs+0yvzQoUMaPXp0o84JoA2zV0vv/07a/rTzWLch0vQXarf2Q70yj5XqyZR0vfZFjqrthmnd+QO6KjEhViP7hLuwOwBAS2N+UT/mGADqyNlRG3KUHD5lwCJN+Ys0dqHEh37qVW136M0vD2pxSprSj5aa1nUO8tEdE2I087zeCvbzdmGHAICWxhzDGfMLAHWQYTRL5rFSLU5J0+tfHCDDAIAOgPlF/ZhjAKiDDKPJyDAAoG1rtcUafn4/bptUVVV1xvrKykpJcpogNERYWNhpx+fOnavt27dr2bJlOnjwoF577TXNmFF3O14/Pz+VlZW1aq8N2T4QQAdRmle7Zfi+Dc5j/S+Vrlkq+Z75KRYd0d7DRUpKTte7uw7KYZJvWCzSpUN7aEF8rAZHhrq2QQBAq2B+UT/mGABO2rmmdttwe2Xd4z7B0nXLpX4XuacvD1dRbdfL2/frydQMHSgwD5wjQ/00d3Ksbji3l/y8bS7sEADQWphjOGN+AeAkMowm23OoSItSGpBhDOmhBQlkGADQXjC/qB9zDAAnkWE0CRkGALQPrbZYIzg4+OTXDdkKr7S0dsVfQ7bYa4q5c+dq2bJlkqTU1FSniUhwcLDKyso8olcA7Vzu19ILN0oF2c5jE38jJfxBslpd35eH+zz7uBYlp+njPUdMa7ysFl09oqfmx8cqpgs/owGgPWF+AQAmHHbpkz9JGx93HusULU1/Ueo6wPV9ebiSyho9/9k+LV2fqWMllaZ10Z0DNT8+VlcN7ykfL+ZpANCeMMcAABNkGE3SmAxjXnysYskwAKBdYX4BACbIMJqkURnG5FhdNYIMAwA8WavurNG5c2cdO3ZMOTk5p609fvz4yTf3vXr1apV+Bg0adPLrAwcOOI1HRUUpNzf3jL1KP27T11q9AmjH9r4rvXanVHXKTQ8vP2lqkjT0Ovf05aEMw9Cm9DwlJadpU3qeaZ2vl1U3nttLd06OVc+wxj/RAwDg+ZhfAEA9KgqlV+dI33/oPBY9SZr2jBQQ7vq+PNjx0iqt3JSllZuyVFhebVo3oHuwEhPidOnQHrJZ2XYdANoj5hgAUA8yjEZpbIYxZ1KMojoFuLBDAICrML8AgHqQYTRaQzOMgT1ClJgQq0uGkGEAQFvQaos1JGngwIFav3690tLSVFNTIy+v+i+3d+/eOq9pDYZhss/sCYMGDdKOHTtUWFiow4cPq3v37vXWHTp0SEVFRZJar1cA7ZDDIa37p5TyN+ex4Ejpxuelnue4vi8P5XAY+mTvESUlp+nL/QWmdUG+XppxXm/NnhCjLsG+rmsQAOAWzC8A4CeOpdU+7Tbve+ex0XOli/4q2bxd35eHOlJUoWUbMrXqs30qq7Kb1p3TO0wLz49TQv+uslgIOACgvWOOAQAnkGE0SmMyjJnn9dEdE6LJMACgA2B+AQA/QYbRKGQYANC+tereRxMmTJBUuyXejh07TOtSU1NPfj1+/PhW6eWbb745+XVkZKTT+A+9ntrPqVzRK4B2prJEevmW+kOOnqOkO5MJOU6wOwy9+eUBXfrf9Zrz7HbTkCMswFu/urCfNt5zvu69ZCAhBwB0EMwvAOCE7z+Slp7vHHJYvaQrHpcu/Qchxwn788v0f2/s1oR/JGvJugzTkGNCXGe9MOc8vTp/nM4f0I2QAwA6COYYACAyjEZoSobx+0sGkGEAQAfB/AIATiDDaLDGZBir54whwwCANqpVF2tcddVVJ79esWJFvTUOh0PPPvusJCksLEwJCQmt0stTTz118uvJkyc7jV955ZWyWmv/Osx6laSVK1dKkqxWq6688sqWbRJA+5OfKS2/UNrztvPYsOnSrHel4PqfUtGRVNU4tGZbtn727xTd9eKX2nu4uN66rsG++r/LBmrjPefrFz87S6EBTN4AoCNhfgGgwzMMacNj0vPTpMrCumMBEdItb0kjZ7mjM4+TdqRYv3rpS8X/K0WrPstWVY2j3roLB3XTG4njtWr2GI2NjSDgAIAOhjkGgA6PDKNBqmocenErGQYA4PSYXwDo8MgwGqwpGca42M5kGADQRrXqYo3Ro0dr4sSJkqTly5dr8+bNTjX//ve/tWfPHknSXXfdJW/vujetVq5cKYvFIovFogcffNDp9bt371ZaWtpp+3jqqae0fPlySVL37t119dVXO9V0795dM2bMkCR9+OGHeuWVV5xqXn75ZX344YeSpJtvvtl0G0AAkCRlpEhLE6Qj39Q9brFKF/1dumqx5O3nltY8RXmVXSs2ZmryP5N1z6u7lZVXVm9dr3B//fXqIVr3uwTNnhijQN/6t4wFALRvzC8AdGhVZdKrs6WP/yjJqDvWfah0Z4rUl6fbfXWgUPNX7dCF/1mn1z4/ILvDcKqxWqSrhkfqw7snaektozS8V5jrGwUAeATmGAA6NDKMMyqvsuvpDbUZxu9fI8MAAJwe8wsAHRoZRoOQYQBAx9Tqd4oef/xxjR8/XuXl5ZoyZYruu+8+JSQkqLy8XC+++KKWLFkiSerXr59+/etfN/r8O3bs0OzZs5WQkKBLLrlEQ4cOVUREhGpqarR3716tWrVKH330kSTJZrPpqaeeUmBgYL3n+utf/6oPPvhAR48e1fTp07V9+3ZdfvnlkqR33nlH//73vyVJXbp00UMPPdSUvw4AHYFhSFuelD78g2Scsj2dX5g0bYUUe75bWvMURRXVem7zPj29IVN5pVWmdWd1DdL8+FhdOSxSXrZWXV8IAGgjmF8A6JAK9ktrZkiHdjqPDb5ampok+dT/s6ij2JaVryc+TVPqd0dNa3xsVl07MkrzJseoT0TH/vsCAPyIOQaADocM44x+yDCWb8hUPhkGAKARmF8A6JDIMM5oa2a+kpLJMACgo2r1xRojRozQmjVrNHPmTBUVFem+++5zqunXr5/effddBQcHN+kadrtdH3/8sT7++GPTmoiICC1fvvy02/L16tVLb7/9tq666iodPnxYjzzyiB555JE6Nd27d9cbb7yhqKioJvUKoJ2rLpfe+aW08wXnsS4DpemrpfAY1/flIfJKKrViY5ae2Zyl4ooa07qhPUOVmBCnKYO6yWplCz8AwI+YXwDocLI2SC/dKpUdO2XAIv3sfmnCr6QOuu21YRha9/0xJX2apq1Z+aZ1/t423TSmt+ZMjFH30I79ZGAAgDPmGAA6FDKM08orqdTTGzP17KZ9Kq4kwwAANB7zCwAdDhmGKcMwlPrdUS1KTifDAIAOziV7sF5xxRXatWuXHn/8cb377rvKycmRj4+P4uLiNG3aNC1cuFABAQFNOvell156cvvAL774Qrm5ucrLy5NhGAoPD9ewYcN08cUXa9asWQoJCTnj+caMGaPdu3fr8ccf1xtvvKGsrCxJUnR0tKZOnaq7775bERERTeoVQDtXmCO9OEM69KXz2IDLpauflHybdsOlrTtUWK4l6zL0wtZsVVQ7TOtGR4drYUKcJp7VWZYOOlkDAJwZ8wsAHYJhSFuXSB/c6/y0W98Q6dplUr+L3NObmzkchtZ+c1hJyenafaDQtC7Yz0uzxvXVrHF9FRHk68IOAQBtDXMMAB0CGYapQ4XlWrouUy9szVZ5td20jgwDANAQzC8AdAhkGKbIMAAAp7IYhmG4uwnUysnJUa9evSRJ+/fvZ2U60JZkbZReuqWeleKSJt8jTf69ZO14W2BnHSvVk6npevXzHFXbzX/dxPfvosSEOJ3bN9yF3QEAGoL3qG0b3z+gjaquOPG029XOYxFx0o0vSF36ub4vN6u2O/T2zoNalJKutCMlpnURgT66fUK0bh7bRyF+3i7sEADQELxHbbv43gFtGBlGvbKOleqpdel6ZQcZBgC0VbxHbdv4/gFtFBlGvcgwAKB9aI33qC7ZWQMA2i3DkLYulT68V3KcsiW2T5B09VPSwMvd05sbfXu4WItS0vT2zoNymOQbFot0yZDuWhAfpyE9Q13bIAAAAOCpCg9Ia2ZKBz93HjvrIunapZJfx3r/XFFt1ys7cvRkarpyjpeb1vUI9dOdk2J047m95e9jc2GHAAAAgIciw6gXGQYAAADQRGQYTsgwAABnwmINAGiq6grpvV9LX6xyHguPlW5cLXUd4Pq+3OjL/QVKSk7TR9/kmtbYrBZNHR6pBfGxiuvaMbdUBwAAAOq1b1Pt025LjzqPTfqtFH9fh3rabWlljVZvydbS9Rk6UlxpWtc3IkDz42N19Ygo+Xh1nL8fAAAA4LTIMJzs3F+gJxqQYVw1vKfmx8eQYQAAAAA/RYZRBxkGAKChWKwBAE1RmCOtudlkpfgU6Zqlkn+Yy9tyB8Mw9FlGvpKS07QhrZ4t1E/w8bLq+lFRmjspVr3CA1zYIQAAAODhDEPaukT68L76n3Z71WJp0JXu6c0NCsuqtXJTllZsylRBWbVp3YDuwVqQEKfLhvaQzWpxYYcAAACAhyPDOMkwDG3OyNOi5PQzZhg3jOqlOyfFkGEAAAAAP0WGUUdjMoz58bG6bGgPedlYpAEAHRmLNQCgsTLXSy/Pksrquak/8TdSwn2Stf1vV2cYhj7de0RJyWn6PLvAtC7Ax6aZ5/XR7AnR6hri57oGAQAAgLagulx6+25p14vOY+ExJ552O9DlbbnDkeIKLd+QqVWb96m0ym5aN7xXmBYmxOlnA7vKYmGRBgAAAFAHGYakhmcYgScyjDvIMAAAAABnZBgnNTbDOH9AV1l50BQAQCzWAICGMwzps0XS2vsl45Q33d6B0lWLpMFXuaU1V7I7DL23+5CSktO093CxaV2ov7dmjeur28b3VViAjws7BAAAANqI4/ukNTOlw7ucx+IukK5dJvl3cn1fLpZzvExL1mVozbb9qqxxmNaNi43QwoQ4jY2NYJEGAAAAcCoyDEm1Gcb7Xx1SUnK69hwqMq0L9ffWbeP7atY4MgwAAACgXmQYksgwAADNx2INAGiIqlLprV9IX73iPBYeI93wvNRtkOv7cqGqGofe+OKAFqemK/NYqWldl2BfzZkYrZvG9FGQL79mAAAAgHqlfyq9codUnu881kGedpt+tESLU9L1xhcHVOMwTOsuGNhVCxLidE7v9h/6AAAAAE1ChkGGAQAAALQkMgwyDABAi+EOFACcSX6G9OJM6cjXzmP9LpaufkryD3N5W65SUW3Xi1uztWRdhg4WVpjW9Qzz17z4WE0bGSU/7/Y9IQMAAACazDCkjY9Jn/xZMk55ApNPsHT1YmngFW5pzVW+OlCoxSnpeu+rQzJM8g2rRbrs7EgtiI/VwB4hrm0QAAAAaEvIMMgwAAAAgJZChkGGAQBocSzWAIDT+fYD6bU7pcpC57HJv5cm3yNZra7vywWKK6r13Gf79PSGTB0rqTKti+0SqPnxcZo6PFLetvb5dwEAAAC0iIoi6c0F0p63nccizpJuXC116ef6vlxkx758PfFpmpK/PWpa422z6JoRUZoXH6vozoEu7A4AAABog8gwGpRhLIiP05VkGAAAAMDpkWGQYQAAWgWLNQCgPg67lPpI7X+n8g2Rrlkq9b/Y9X25QH5plVZuzNTKTVkqqqgxrRscGaKFCXG6aHB3Wa0WF3YIAAAAtEFH9kprZkp53zuPDbhcumqx5Nf+nr5kGIbWf39MSclp2pJZz3bpJ/h5W3Xjub1156QYRYb5u7BDAAAAoA3q4BnGihMZRvEZMozEExmGjQwDAAAAOD0yDDIMAECrYbEGAJyqLF96bY6U9rHzWJcBtSvFI2Jd31crO1xYoaXrM7R6S7bKq+2mdef27aTEhDhN7tdFFgsBBwAAAHBGX78uvZEoVZeeMmCRzv+DNOHX7e5ptw6HoY/25CopOU27cup5yu8Jwb5eunlsH90+IVqdg3xd2CEAAADQRnXQDCO3qEJL1pFhAAAAAC2ug2YYa7/J1aIUMgwAQOtjsQYA/NShndKam6WCfc5jg6+Rrvyf5Bvk+r5aUXZemRanpuvVHTmqsjtM6yb166LE+FiNiYlwYXcAAABAG2avkT7+o7T5Cecx/07StcukuAtc31crqrE79M6uQ1qUkqbvcktM68IDfXT7+L66eWxfhfp7u7BDAAAAoA3roBnGk+vS9cr2M2cYCxPiNDo63IXdAQAAAG0YGYZpHRkGAKAlsVgDAH7w5WrpnV9KNRV1j1ts0pS/SOctkNrRU5i+yy3WouQ0vbXzoByGed3Fg7srMSFOQ6NCXdccAAAA0NaVHJFeuV3KWu881v1s6YZVUqc+ru+rlVTW2PXqjgN6MjVd2fllpnXdQ/w0Z1KMpo/upQAfbksBAAAADdYBM4zFKel6a+dB2U8TYlw8uLsWJMTq7Kgw1zUHAAAAtHVkGPUiwwAAtAZ+owBAdYX0wT3SjpXOY4FdpGkrpb4TXN1Vq9m5v0BJyWla+02uaY3NatHUYZGaHx+rs7oFu7A7AAAAoB3Yt1l6eZZUcth5bPhM6bJ/Sd7+Lm+rNZRV1Wj1lmwtXZ+h3KJK07re4QGaHx+ra87pKV8vmws7BAAAANq4DpZh7MqpzTA+/JoMAwAAAGgVZBhOyDAAAK2JxRoAOrbjWdJLt9RuHX6qqNHS9c9IIZEub6ulGYahLZn5SkpO0/rvj5nW+dismjYqSnMnxap3RIALOwQAAADaAcOQPlskrb1fMux1x2w+0iX/kEbOahdPuy0sr9azm7L09MZMHS+rNq3r1y1IiQlxumxoD3nZrC7sEAAAAGgHyDDq8LFZdd2oKM0jwwAAAAAajwzDCRkGAMAVWKwBoOP6bq302hyposB57Nw50kV/k7x8XN5WSzIMQynfHlVScpq27ztuWhfgY9OMMb01e2KMuoX4ubBDAAAAoJ2oLJbeTJS+edN5LKSndP1zUtRI1/fVwo6VVGr5hkw9t3mfSiprTOuGRYVqQUKcLhzYTVZr2w92AAAAAJcjwziJDAMAAABoJjKMOs6OClUiGQYAwEVYrAGg43HYpZSHpXX/cB7zDpCu+K909jTX99WC7A5DH3x1WEnJafrmUJFpXYifl2aNj9Zt4/qqU2DbDnUAAAAAtzmyR1pzs5T3vfNYTIJ07TIpsLPr+2pBBwvKtWRdhl7Ymq3KGodp3Xkx4VqYcJbGx0XI0g6evgUAAAC4XAfJMD78ujbD+PogGQYAAADQqsgwTiLDAAC4A4s1AHQspcekV2dLGcnOYxFx0g2rpK4DXd9XC6m2O/Tmlwe1KCVNGUdLTes6B/nojgkxmnlebwX7ebuwQwAAAKCd2fWy9PYvpOoy57FJv5Pify9Zba7vq4VkHivV4pQ0vf7FAVXbDdO6nw3oqgUJcRrZp5MLuwMAAADaGTIMSVLnIF/NnhitGWPIMAAAAIBmIcOQJJ0/oKsSE2I1sk+4C7sDAKAWizUAdBzZW6SXZ0nFB53HBk2VrnxC8gtxeVstoaLarpe279dTqRk6UFBuWtczzF9zJ8fo+lG95OfddidbAAAAgNvVVEof3CttX+485hcmXbNE6neRy9tqKXsOFSkpOU3v7T4kh0m+YbFIlw3toQXxcRoU2TbnUgAAAIDHaOcZxsvb9+tJMgwAAADANcgwZLFIlw7toQXxsRocGeraBgEA+AkWawBo/wxD+myR9NEDkqOm7pjFJk35i3Tegtp36W1MSWWNVn22T8vWZ+pYSaVpXUznQM2Pj9XU4T3l42V1YYcAAABAO3Q8S3rpVunQl85jPYZJ1z8rderr4qZaxufZx5X0aZo+2XvEtMbLatE15/TUvMmxiukS5MLuAAAAgHaIDONkhnHViJ7ytpFhAAAAAM1ChqGrR/TU/HgyDACAZ2CxBoD2raJQejNR2vO281hQd2naCqnPONf31UzHS6u0YlOWVm7MVFFFjWndoB4hSkyI08VDustmbXtBDgAAAOBxvn1fen1u7VzjVOfcIl3yT8nbz/V9NYNhGNqUnqcnPk3T5ow80zpfL6umj+6tOZNi1DPM34UdAgAAAO1UO88wntmUpcLyatM6MgwAAACghZFhkGEAADwOizUAtF+Hdkkv3yrlZziPRU+Srl0uBXV1fV/NcKSoQkvXZ+j5Ldkqq7Kb1o3s00mJCbFK6N9Vljb4tC0AAADA49hrpE//Im18zHnMy1+6/D/S8Okub6s5HA5Dn+w9oieS07Rzf4FpXZCvl24e20e3j49Wl2Bf1zUIAAAAtGftNMNYtiFTqz7bR4YBAAAAuBIZBhkGAMBjsVgDQPtjGNLnz0jv3yPVVDiPT/qtFH+vZLW5vrcm2p9fpidT0/Xy9hxV2R2mdRPP6qzEhDiNiQ4n4AAAAABaStFB6ZU7pOxNzmMRcbVbhncb7Pq+mqjG7tC7uw9pUXK6vs0tNq3rFOCt28dH65axfRUa4O3CDgEAAIB2rJ1mGE+tS9dL23NUVUOGAQAAALgUGQYZBgDAo7FYA0D7UlkivfNLafdLzmP+naRrlkpnXej6vpoo7UixFiWn682dB2V3GKZ1UwZ1U2JCnIb1CnNdcwAAAEBHkPaJ9NqdUtkx57HBV0tX/k/yDXZ9X01QWWPXa58f0JOp6dqXV2Za1y3EV3Mmxmj66N4K9OXWEQAAANBi2mOGkZKuN788fYZx0eBuWhBPhgEAAAC0uHaWYbz++QEtJsMAALQz/LYC0H7kflO7Zfix75zHeo6Upj0jhfVyfV9NsDunUEnJafrwm8MyTPINm9WiK4dFan58rPp1axsTKwAAAKDNcNillIeldf+UdMqbcqu3dNHfpNFzpDbwNNiyqhq9sHW/lq7L0OGiep7ce0Lv8ADNmxyra0f2lK9X23mKLwAAANAmkGEAAAAAaClkGC7sEACA5mGxBoD24YtV0ru/kWrKncdGz5WmPCR5+bi+r0bampmvJ5LTtO67o6Y1PjarrhsVpXmTYtU7IsCF3QEAAAAdRHGu9OodUtZ657HQXtK0lVLUKJe31ViF5dV6bnOWnt6YpfzSKtO6s7oGKTEhTpef3UNeNqsLOwQAAAA6iHaSYWzJyFNSSvoZM4xrR0Zp/mQyDAAAAKBVkGEAANCmsFgDQNtWVSq991vpy+edx3xDpKlPSIOmur6vRjAMQ6nfHVVScpq2ZR03rfP3tmnGmN6aPTFG3UP9XNghAAAA0IFkpEqvzpZKjziP9btEumqRFBDu+r4aIa+kUk9vzNSzm/apuLLGtO7sqFAlJsTpwoHdZLV6/tO1AAAAgDang2UYN43prTlkGAAAAEDrIcMAAKDNYbEGgLbryB7p5VnS0b3OYz2G1a4UD49xdVcN5nAY+vDrw0pKSdNXB4pM60L8vDRrXF/NGh+t8EDPf7IWAAAA0CY57FLqP6TUR+S0ZbjFJl34J2nsQo/eMvxQYbmWrMvQC1uzVVHtMK0bEx2uxIQ4TTyrsywe/OcBAAAA2rQOkmEEn8gwbiPDAAAAAFoPGQYAAG0WizUAtD2GUbtl+Hu/rX/L8HNnS1P+Knl75pObqu0OvfXlQS1OTVfakRLTus5BPrpjQoxmntdbwX7eLuwQAAAA6GCKDkmvzal/y/CQntJ1K6TeY1zfVwNlHSvVk6npevXzHFXbDdO6hP5dlJgQp1F9PfupWgAAAECb1k4yjEUpaUo/WmpaFxHoozsmRuvm8/qQYQAAAACtiQwDAIA2jcUaANqWymLpnV9Ju19yHvMJlq58XBpyrev7aoCKarte2ZGjJ1PTlXO8noDmhMhQP905KUY3nNtb/j42F3YIAAAAdEBpn0iv3SmVHXMeO2uKdPVTHrtl+N7DRVqUnK53dh2UwyTfsFikS4f00Pz4WA3pGeraBgEAAICOpgNkGD1C/TSXDAMAAABwjQ6QYVwypLsWxMeRYQAA2i0WawBoOw7vrt0yPC/Neaz7UGnaM1JErMvbOpPSyho9v2Wflq7P1NHiStO66M6Bmj85VleN6CkfL6sLOwQAAAA6IHuNlPxXacOjzmMWm/SzB6Rxv5Csnvfe/Mv9BXri0zR9vCfXtMbLatFVI3pq3uRYxXUNcmF3AAAAQAdFhgEAAACgpbTzDMNmteiq4T01P54MAwDQ/rFYA4DnMwxp+9PSB/dK9nqCgnPnSFMe8rgtwwvKqrRyU5ZWbspSQVm1ad2A7sFKTIjTpUN7yGa1uLBDAAAAoIMqzJFenS1lb3YeC4mSrnva47YMNwxDmzPylJScpo1peaZ1Pl5W3XhuL905KUZRnQJc2CEAAADQQZFhAAAAAGhJ7TzDuGFUbYbRK5wMAwDQMbBYA4BnKz8uvfULac9bzmO+odLU/0mDprq+r9M4Ulyh5eszteqzfSqtspvWjegdpoUJcTp/QFdZLAQcAAAAgEvsfVd6Y4FUUeA81v9SaWqSR20ZbhiGPt17RE8kp+mL7ALTukAfm2aO7aM7JkSra7BnfQgMAAAAaLfIMAAAAAC0pDaaYSQlp+nzM2UY5/XRHRPJMAAAHQ+LNQB4rv1bpVfukAqzncciz6ldKR4e7fq+TOQcL9NTqRlas32/qmocpnXj4yKUGB+nsbERBBwAAACAq1RXSB89IG19ynnM6i1d+GfpvPmSh7xHtzsMvbf7kJKS07T3cLFpXai/t24b31ezxvVVWICPCzsEAAAAOjgyDAAAAAAthQwDAIB2i8UaADyPwyFtfEz69CHJqOepTuctkC74k+TlGW/i046UaHFKut788oBqHIZp3QUDuykxIVYjendyYXcAAAAAdCxNemWWdHi381hYH2naCqnnSJe3VZ+qGofe+OKAFqemK/NYqWldl2BfzZkYrZvG9FGQL7d3AAAAAJdptxlGVyUmxJFhAAAAAK7WTjOMOyfGaPqY3mQYAIAOj9+EADxLyRHptTuljGTnMf9w6arFUv+LXd9XPb46UKhFKWl6/6vDMkzyDatFuuzsSCUmxGpA9xDXNggAAABA2vmi9M6vpOp6QoNBV0lX/lfyC3V5W6cqr7JrzbZsLVmXoYOFFaZ1PcP8NS8+VtNGRsnP2+bCDgEAAAC0xwzj8rMjNT8+VgN7kGEAAAAALtfOMoyoTv6aNzlW15FhAABwEos1AHiO7z+W3pgnlR51HuszXrpmqRTa0/V9nWJ7Vr6eSE5Tyrf19HmCt82ia8+J0rzJserbOdCF3QEAAACQJFUUSe/9Rtq1xnnMy0+65BHpnFvdvmV4UUW1Vn22T8vXZyqvtMq0LrZLoBbEx+nK4ZHytlld2CEAAAAASe0yw5g7OVbRZBgAAACA67WzDCOua5AWxMfqimFkGAAAnIrFGgDcr6ZS+uTP0uYnnMcsVmnS76TJv5Os7ltxbRiG1n9/TE8kp2lrZr5pnZ+3VdNH99adk2LUI9TfhR0CAAAAOOnADumVO6Tjmc5jXQZI162Qug1yfV8/kV9apRUbM7VyU5aKK2pM6wZHhmhhQpwuGtxdVqt7QxkAAACgQyLDAAAAANCS2lGGMaRnbYYxZRAZBgAAZlisAcC9jqVJr94uHdrpPBbco/ZJVNETXd/XCQ6HobXf5GpRSpp25RSa1gX7eumWcX10+/hoRQT5urBDAAAAACc5HNKmx6VPH5Ic9YQH59wqXfyw5BPg+t5OOFxYoaXrM7R6S7bKq+2mdaP7hmtBQqwm9+sii5ufnAUAAAB0WGQYAAAAAFpKO8swEs+P06SzOpNhAABwBizWAOAehiF9uVp677dSdanzeL+LpalJUmBn1/cmqcbu0Nu7DmpRcrq+P1JiWhce6KM7JkTr5rF9FOLn7cIOAQAAANRRfFh6fa6UkeI85hsiXfGYNORaV3d1UnZemRanpuvVHTmqsjtM6yb366LEhDiNjg53YXcAAAAA6mhnGcbM8/oo1J8MAwAAAHAbD88w9uWV6snUDDIMAABaAYs1ALheRaH0zq+kr15xHrP5SlMekkbPkdyw8rqi2q5XP8/Rk6np2p9fblrXPcRPd06K0Y2jeynAhx+lAAAAgFt996H0xnypLM95LGq0dO0yqVMf1/cl6bvcYi1KTtNbOw/KYdRfY7FIFw3qrsSEOA2NCnVtgwAAAADq8uAMo7LGrld2kGEAAAAAbUo7yDAuHtxdC+LJMAAAaAruzgFwrezPpFfnSIXZzmOd+0nXPS11H+rytkora/TC1mwtWZehI8WVpnV9IgI0f3Ksrj6np3y9bC7sEAAAAICT6nJp7f3StqX1DFqkSb+RJv9esrn+9sfO/QVKSk7T2m9yTWtsVoumDo/UgvhYxXUNdmF3AAAAAOrloRlGWVWNVm/J1tL1GcotIsMAAAAA2gQyDAAAIBZrAHAVe4207h/Sun9KRj3b5Y2cJV30d8knwKVtFZZV65nNWVqxMVPHy6pN6/p3C9aChFhdNrSHvGxWF3YIAAAAoF65X0uv3CEd3eM8FhwpXbNEip7o0pYMw9CWzHwlJadp/ffHTOt8vKy6flSU5k6KVa9w186BAAAAANSDDAMAAABAS2rLGYbNqmmjojRvMhkGAAAtgcUaAFrf8azaJ1HlbHUe8wuVrvyfNGiqS1s6Wlyp5RsyteqzfSqprDGtG9YrTAsT4vSzAV1ltbp+S3MAAAAApzAMactT0kcPSPZ6nig74PLaOUZAuAtbMpTy7VE9kZymHfuOm9YF+Ng087w+mj0hWl1D/FzWHwAAAIDTIMMAAAAA0FLIMAAAwClYrAGgde16SXrnV1JVsfNYn/G1K8VDo1zWzoGCci1JTdeL2/arsqaep2OdMDYmQokJcRofFyGLhYADAAAA8AglR6Q3FkhpHzmPeflLF/9NGnmb5KL38HaHoQ++Oqyk5DR9c6jItC7U31uzxvXVrHF91SnQxyW9AQAAAGgAD8wwlq7L0Atbs8+YYSw8P07jYskwAAAAAI9BhgEAAOrBYg0AraO8QHr319JXrziPWWxSwn3ShF9KVptL2sk4WqInU9P12ucHVOMwTOt+NqCrFiTEaWSfTi7pCwAAAEADffuB9GaiVFbP1tzdhkrXLZe69HdJK9V2h9744oAWp6Yr42ipaV3nIF/NmRitGef1UZAvt2AAAAAAj+GBGcbilHS9/gUZBgAAANAmtdEMY/bEaM0kwwAAoFXxWxZAy8vaIL0+Tyrc7zzWKVq6drkUNdIlrXxzsEiLUtL03u5DMss3LBbpsqE9tCA+ToMiQ1zSFwAAAIAGqiqT1v5B2v50/eNjF0o/e0Dy8m31Viqq7Xpp+349lZqhAwXlpnU9w/w1b3KMpo3qJT9v13y4CwAAAEADeViGkXQiwzDIMAAAAIC2hwwDAACcAYs1ALScmiop5W/Shsck1ZMqDLtJuvQfkm9wq7eyY99xJSWn6dO9R0xrvKwWXXNOT82bHKuYLkGt3hMAAACARjr4hfTqHCnve+exoG7SVYuluJ+1ehvFFdV6fku2lq3P1LGSStO6mC6BWhAfp6nDI+Vts7Z6XwAAAAAagQwDAAAAQEsiwwAAAA3AYg0ALePod9Jrs6VDO53H/EKly/8jDbm2VVswDEMb0/L0RPL3+iwj37TO18uq6aN7a86kGPUM82/VngAAAAA0gcMubXxMSv6b5KhxHu93iTT1CSmwc6u2cby0Sis2ZWnlxkwVVdTTxwmDeoQoMSFOFw/pLpvV0qo9AQAAAGgCMgwAAAAALYUMAwAANAKLNQA0j2FI25ZJa++XaurZQq/vROnqJ6XQqFZrweEw9PGeXCWlpGvn/gLTuiBfL908to/umBCtzkGtv70gAAAAgCY4vk96Y760b6PzmHeAdNHfpJGzJEvrBQq5RRVatj5Dz2/JVlmV3bRuVJ9OSjw/TvH9usjSiv0AAAAAaCIyDAAAAAAtiQwDAAA0Eos1ADRd8WHpzUQp7WPnMau39LP7pbE/l6yts3Vejd2hd3cf0qLkdH2bW2xa1ynAW7ePj9Yt4/oq1N+7VXoBAAAA0EyGIe18UXrvt1JVPe/vI0dI1yyTOse1Wgv788v0ZGq6Xt6eoyq7w7Ru4lmdtTAhTqOjwwk4AAAAAE9FhgEAAACgpZBhAACAJmKxBoCm+eZN6e27pPLjzmOd+0vXLpV6DGuVS1fW2PXa5wf0ZGq69uWVmdZ1C/HVnIkxumlMbwX48OMOAAAA8FiledI7d0t73nIes1ilCb+S4n8v2Vrng0vf5xZrcUq63tx5UHaHYVp30eBuSkyI09lRYa3SBwAAAIAWQoYBAAAAoKWQYQAAgGbgzh+AxqkolN6/R9r5Qv3j586RLvyz5BPQ4pcuq6rRC1v3a+m6DB0uqjCt6x0eoPnxsbrmnJ7y9bK1eB8AAAAAWtD3H0tvLpBKcp3HQntL1zwl9RnXKpfenVOopOQ0ffjNYRkm+YbNatGVwyI1Pz5W/boFt0ofAAAAAFoIGQYAAACAluQBGcYHXx82rSHDAADA87lssUZ2drb++9//6t1331V2drZ8fX0VFxen66+/XgsWLFBAQNNvihYVFem9997TJ598oh07digjI0NlZWUKDQ3V4MGDdfnll2v27NkKCws77Xn69u2rffv2nfF6ffr0UVZWVpP7BdqsrA3S6/OlwmznsaDu0tQk6awLWvyyheXVem5zlp7emKX80irTun7dgpSYEKfLhvaQl611ti0HAACegfkF0A5UlUofPSBtW1b/+PAZ0sUPS34hLX7prZn5eiI5Teu+O2pa42Oz6rpRUZo3KVa9I1r+g1wAAMCzMMcA2gEyDAAA4CGYXwDtgBszjC0ZeUpKSSfDAACgnbAYhtmzI1vOu+++qxkzZqiwsLDe8f79++u9995TTExMo8/9/vvv6+qrr1ZlZeVp67p166YXXnhBCQkJpjXunojk5OSoV69ekqT9+/crKiqqxa8BNEl1hfTpX6TNSZLq+ZExaKp0+WNSQHiLXvZYSaWe3pCp5zbvU3FljWndsKhQJSbE6YKB3WS1Wlq0BwAAOjpPfI/K/KLhPPH7B0iS9m+VXp8r5Wc4j/mHS1c8Lg26skUvaRiGUr87qqTkNG3LOm5a5+9t04wxvTVnUoy6hfi1aA8AAMAz36Myx2gYT/zeAZLclmHklVRqORkGAABu5YnvUZlfNJwnfv8ASW7LMFK+O6pFZBgAALhVa7xHbfWdNXbu3Knrr79eZWVlCgoK0r333quEhASVl5frxRdf1NKlS/Xtt9/qsssu07Zt2xQUFNSo8+fl5amyslJWq1UXXnihLr74Yg0bNkxhYWHKycnR888/rzVr1ig3N1eXX365Nm7cqOHDh5/2nFOnTtVDDz1kOu7j49OoHoE27eAX0uvzpKN7ncd8Q6RL/yWdfb1kabmA4VBhuZ5KzdCL27JVUe0wrRsTHa6F58dpQlxnWVrw+gAAwHMxvwDauJoqKfVhacN/JKOe9/pnTZGufEIK7tZil3Q4DH349WElpaTpqwNFpnUhfl66dVxf3TY+WuGB/LsEAKCjYI4BtHFuyjCWrMvQC1vJMAAAQF3ML4A2zsMzjFnj+moWGQYAAG1Oqy/WuPvuu1VWViYvLy+tXbtWY8eOPTl2/vnn66yzztLvfvc77d27V48++qgeeOCBRp3f29tbc+fO1X333afevXvXGRsxYoSuuOIKjR8/Xr/4xS9UVlamX//61/rkk09Oe86wsDANGTKkUX0A7Y69Wlr/qLTuH5KjnidC9Z0oXbVYCuvVYpfMOlaqJ1PT9ernOaq2m2/6k9C/ixIT4jSqb8s+BQsAAHg+5hdAG5b7tfTaXCl3t/OYd4B00V+lkbe12Ieoqu0OvfXlQS1KSVP60VLTus5BPrpjQoxmntdbwX7eLXJtAADQdjDHANooMgwAAOCBmF8AbZiHZhgRgT66Y2K0bj6vDxkGAABtlMUwDPO7ic20bds2jR49WpI0d+5cPfnkk041DodDQ4YM0Z49e9SpUyfl5ubK27vl31ice+652r59u6xWq44cOaKIiAinmh+2+Lv11lu1cuXKFu/hTNjeDx7j6He12/kd/Nx5zOYr/ewB6bwFktXaIpfbe7hIi5LT9c6ug3KY/ESyWKRLh/TQ/PhYDekZ2iLXBQAAZ+ZJ71GZXzSeJ33/0IE57NKm/0nJf5XsVc7jUedKVz8lRcS2yOUqqu16eUeOnkpNV87xctO6yFA/3TkpRjec21v+PrYWuTYAADgzT3qPyhyjcTzpe4cOzg0ZRlJyut5tQIaxICFWgyPJMAAAcBVPeo/K/KLxPOn7hw7MgzOMuZNjdf2oXmQYAAC4UGu8R23VnTXeeOONk1/fdttt9dZYrVbdcsstuvfee3X8+HGlpKTowgsvbPFe4uPjtX37djkcDmVmZtY7EQE6PIdD2vKk9MmfpJoK5/Eew6Srl0hdB7TI5b7IPq6k5HR9vCfXtMbLatFVI3pq3uRYxXVt3BagAACgfWF+AbRBeenSGwuk/Z85j1m9pYR7pXF3Sbbm354oqazR85/t07INmTpaXGlaF905UPMnx+qqET3l49UyH94CAABtE3MMoI1xS4aRpo/3HDGt8bJaNHV4T82PJ8MAAKCjY34BtEEuzjBWb9mnpesbkGHEx+qq4WQYAAC0F626WGP9+vWSpMDAQI0cOdK0bvLkySe/3rBhQ6tMRCorf3yTY22hJ+kA7Up+pvRmorRvo/OYxSZN+o006beSrXlPdTAMQ5vT85SUkqaNaXmmdT5eVt14bi/dOSlGUZ0CmnVNAADQPjC/ANoQh0Patkz66AGppp4nQ3UdVPskqh5nN/tSBWVVWrExSys3ZamwvNq0bkD3YCUmxOnSoT1ks7bMNuUAAKBtY47hHlVVVSopKVFpaamqqqrkcDjc3RLagupyKfdrqVzSOX+sO2axSJ2ipfAYqdAiFX7frEsdL6vSvrwyFZRVa0yENGZCJ6cai0WKDPVXr3B/+XnbZBQe0veFzbos2iibzSY/Pz+FhIQoMDBQFgvzTQDoqJhfAG2IizOMlZtqM4yCMjIMeB7DMFRaWqqioiJVVFTIbre7uyUAaDKr1SofHx8FBgYqKChIPj4+7m5JUisv1tizZ48kKS4uTl5e5pcaMODHJ9z88JqWlpqaKkny8vJSXFzcaWvXrVuns88+W+np6TIMQ926ddPo0aM1ffp0TZ06tck32XJyck47fujQoSadF2gWw5C2Py2tvV+qLnUejzhLuuYpqaf5zYSGXcbQJ3uOKCklTV9kF5jWBfrYNHNsH90xIVpdg/2adU0AANC+ML9wxhwDHun4vtqF4Fnr6xm0SOPvkhLuk7x8m3WZI0UVWr4hU6s+26fSKvMbxyN6h2lhQpzOH9CVD80AAIA6mGPU1drzC8MwdOzYMR07dqxZ50EHVFkiVRRIfuG1//2U1VsKiJC8fKRmfqCkotquoooaVdU4FOZnU5ifzanGapECfb0U5Ot14gNUhmpqapp1XbRtNTU1qqysVGFhofz9/dW7d28+FAsAHRTzC2dkGPBILswwlm3I1PNnyDDO6R2mhefHKaE/GQZcz+FwKDs7W+Xl9SxaAoA26oeHBeXm5qpLly6KiIhw++/YVlusUVFRcfKGe1RU1GlrO3XqpMDAQJWWlmr//v0t3su7776rXbt2SZIuuugihYSEnLY+MzOzzv/OyspSVlaWXnrpJY0fP15r1qxRz549G91Hr169Gv0aoFUV5khvLpQykusfHzNfuuCPkrd/ky9hdxh6d/chLUpO097DxaZ1YQHeum1ctGaN66vQgObt3gEAANof5hf1Y44Bj2IY0ufPSh/eJ1WVOI93ipauWiz1Gdusy+zPL9NT69L10vYcVdWYP4V5fFyEEhPiNDbG/TdfAACA52GO4ay15xeHDh1SYWHdrQcsFotsNucPxAOSJMMhVVdIXlYpKNx53OYjeTX/oU81docq7Q4ZFpuC/ev//6PFIvnYrPK2WcX0Aj9lt9tlGIYkqby8XNnZ2erTpw/zUADoYJhf1I8MAx7FwzKMCXGdlZgQp/NiwnnvCLcwDMNpoQb3aQC0dT+9TyNJR48eVVVVlSIjI93YVSsu1igu/vFD2UFBQWes/2EiUlJSz5uhZsjPz1diYqKk2m1o//KXv5jW+vj46Morr9SUKVM0ZMgQhYaGqqCgQJs3b9bixYu1f/9+bdy4URdeeKE2b96s0NDQFu0VcBnDkL58XvrgXqmyyHk8rI901SKp74QmX6KqxqHXv8jR4pR0ZeWVmdZ1DfbVnIkxumlMbwX6tupmPwAAoA1jfgF4uMID0tt3SWkf1T8++k7pggcln8AmXyLtSIkWpaTpzS8Pyu4wTOsuHNRNiQlxGt4rrMnXAgAA7R9zDNeqqKios1AjIiJCISEh8vX15UMpcGYYUnl+7TzDcEg6ZZcCm48U1lvyDW7yJRyGoYKyKh0trlR1jUNW56tIkrxtVnUO8lV4oM+JnTSAuhwOh0pKSnT48GHZ7XaVl5ertLS0Qb9bAADtB/MLwMO5KMNYnJKuN748QIaBNqG0tPTkQg2bzabu3bsrKCiInQIBtGmGYaiyslJFRUXKy8uTJBUWFioiIkK+vs3bNas5WnVnjR/4+Picsf6Hv4SW3FLJbrdrxowZ2rdvnyTp//7v/zRixAjT+q1btyosLMzpeHx8vBYuXKjrrrtOa9eu1Z49e/SnP/1Jjz76aKP6OdOK+EOHDmn06NGNOifQaGeagIy8TZrylyaHHOVVdr24LVtL1mXoUGGFaV1UJ3/Nmxyr60ZGyc+bFbkAAOD0mF/UjzkG3O7kQvD7pMpC5/HQXtLUJ6SY+CZf4qsDhUpKTtMHXx+WYZJvWC3SFcMitSA+Tv27N/0DWwAAoONgjuGsNecXBQUFJ7/u2rWrIiIimnQedAA1VVLh/vofNCVJARFSSE/J2rRcweEwlP/DIg27+VNufWxWdQn2VacAH1lZpIHTsFqtJ59YfuDAAUm1H9hlsQYAdCzML+pHhgG3I8MATBUV/Tjv7t69+xl3YgKAtsBiscjPz09+fn6y2Ww6cuSIJOn48ePq3r272/pqtcUafn4/bjtcVVV1xvrKykpJkr+/f4v1sGDBAn3wwQeSpMsuu0z333//aevrm4T8IDg4WC+99JJiY2OVl5enJUuW6OGHH27QJOsHZ9rqEGhVZ5qAhPSUrvyfFPezJp2+qKJaz23ep6c3ZCqv1PzffFzXIC2Ij9WVwyLlZWMlLgAAaBjmF/VjjgG3OtNC8BE3Sxf9TfJr2s3dbVn5euLTNKV+d9S0xttm0bXnRGne5Fj17dz0J14BAICOhzmGs9acX5SV/bj78un+HOjA6uymYXcet3rX7qbRxPmF3eFQXkmVjpVUqcZhvkjD18umrsG+CgvwZtcXNEpQUJAsFosMw2jRD94CANoG5hf1I8OAW3lIhnHdyNoMo08EGQY8yw8LDS0WC4vNAbRLYWFhJxdr/PT+tDu02mKN4OAfV4E2ZNu+0tJSSQ3bDrAh7r33Xi1ZskSSNGHCBL388suy2Zr39P7Q0FDdeOONSkpKUmlpqbZv365x48a1RLtA6zrTBGTYTdLFf5f8wxp96vzSKj29IVPPbM5ScUWNad3QnqFKTIjVlEHdeQoVAABoNOYXgAc500LwoO61C8H7TWnCqQ2t+/6YkpLTtDUz37TOz9uqm0b30ZxJ0eoR2nKBJgAA6DiYY7iW3V774XsvL69m/znRDp1pNw3/cCm0p2RtfKxZY3foWEmV8korZXeYPOZWkr+3TV1DfBXixyINNI3VapXNZlNNTc3Jn3kAgI6D+QXgQcgwgAb5Yd5is9lktfLAZQDtj81mk81mk91ud/u9mlbdWaNz5846duyYcnJyTlt7/PjxkxORXr16NfvajzzyiB5++GFJ0jnnnKN33nmnxVajDxo06OTXP2xlC3gsw5C+WCV9+IfTTED+K/W7qNGnPlxYoSXrMvTC1myVV5v/IBsdHa7EhDhNOqszAQcAAGgy5heAhyjMkd6++wwLwf8m+Xdq1GkdDkNrvzmspOR07T5Qz9zlhGBfL906rq9uG99XEUG+jboGAADATzHHADyAYUhl+VLR6XbT6CX5hTb61NU1Dh0tqVR+aZUchvkijUAfL3UN8VWQrxcZBgAAaDLmF4CHcHeG4eelW8eSYQAA4Ck85X5fqy3WkKSBAwdq/fr1SktLU01Njby86r/c3r1767ymORYtWqTf//73J8/14YcfKjS08TdxzRinuaELeJSC7NrdNNI/rX982PQTu2k0bgKyL69UT6am65UdOaq2m/97iO/fRYkJcTq3b3ijzg8AAGCG+QXgRoYhff6M9OH/SVXFzuNB3aUrHpf6X9yo09bYHXp710EtSk7X90fMnzgXEeij2ydE6+axfRTi593Y7gEAAOrFHANwo5rKE7tp1DO/kJq8m0ZljV1Hiyt1vKz6tP8egv281TXYV4G+rRqVAgCADoT5BeBGZBgAAMCDteodyAkTJmj9+vUqLS3Vjh07NGbMmHrrUlNTT349fvz4Jl/vueee08KFCyVJMTEx+vjjj9W5c+cmn68+33zzzcmvIyMjW/TcQItwOKQdT0sf/VGqqmei0MQJyLeHi7UoJU1v7zwos53CLRbp4sHdlZgQpyE9W+4GAAAAgMT8AnCb41nSW7+QMlPrH2/CQvCKarte/TxHT6ama39+uWldj1A/3TkpRjee21v+PrZGNg4AAHB6zDEANzAMqeyYVHRQMhzO403cTaOi2q4jxZUqLKvS6T5SGOpfu0jD34dFGgAAoGUxvwDcxI0ZRveQ2gxj+mgyDAAAYK5V70ReddVV+vvf/y5JWrFiRb0TEYfDoWeffVaSFBYWpoSEhCZd67XXXtNtt90mwzAUFRWlTz75pMUnCoWFhVqzZo0kKSAgQKNGjWrR8wPNlpdeOwHZt6H+8bNvlC55uFETkJ37C/REcpo++ibXtMZmtWjq8EgtiI9VXNfgxnYNAADQIMwvABdzOKRtS6WPH5Sqy5zHg7pLVzwm9b+kwacsrazRC1uztWRdho4UV5rW9Y0I0Pz4WF09Iko+XtbG9w4AANAAzDEAF6upkAr21/+gKalJu2mUVdXoSFGliiqqTWsssigswFtdgn3l580HqAAAQOtgfgG4mBszjD4RAZo/OVZXn9NTvl7MMQAAwOm16iceRo8erYkTJ0qSli9frs2bNzvV/Pvf/9aePXskSXfddZe8vetuBbZy5UpZLBZZLBY9+OCD9V5n7dq1mj59uux2u7p27aqPP/5Yffv2bVSvH3zwgcrLzVfCFhcX6/rrr1deXp4k6Y477pCvr2+jrgG0Godd2pwkLR5f/0KN4Ejpppeka55q0EINwzC0OT1PM5dt0dSkjaYLNXy8rJp5Xm+l/CZej14/nIUaAACgVTG/AFzoWJq08lLp/d/VH3IMnyklftbgkKOwrFr//eR7TXjkUz307h7TkGNA92D9d/oIffyrybrh3N4s1AAAAK2KOQbgIoYhlRyRjnxb/0INq7cUHiN16tOghRqGYaikokYZR0uUdqTEdKGGxWJRRKCP+ncPUq/wABZqAACAVsX8AnAhN2UY/bsF6/Ebh+uTX03WjaN7s1ADAAA0SKvv8fv4449r/PjxKi8v15QpU3TfffcpISFB5eXlevHFF7VkyRJJUr9+/fTrX/+60ef/7LPPdPXVV6uqqkre3t76z3/+o+rqan311Vemr4mKilJYWFidYw8//LBmzJiha665RhMmTFBsbKyCgoJUUFCgzZs3a/Hixdq/f78kqX///qaTIsDlcr+R3vq5dGB7/ePn3CpN+UuDtgw3DEPJ3x7RE5+m6fPsAtO6AB+bZp7XR7MnRKtriF8TGwcAAGg85hdAK7NXS5v+J6U8LNnrCSNCoqQrH5fiLmjQ6Y4WV2r5hkyt+myfSiprTOuG9QrTwoQ4/WxAV1mtlqZ2DwAA0GjMMYBWVl0uFWTX/wEqSQqIkEIiG7xIo7iiRkeKK1VWZT6/sFosigjyUecgX3nbWAAOAABch/kF0MrIMAAAQBvU6os1RowYoTVr1mjmzJkqKirSfffd51TTr18/vfvuuwoObvxT+T/44AOVldXe4K2urtaMGTPO+JoVK1Zo1qxZTsfz8/O1bNkyLVu2zPS1kyZN0urVqxUeHt7oXoEWVVMlbXhUWvcvyVHPU6NCe0tX/leKPfO2mXaHofe/OqSk5HTtOVRkWhfq761Z4/pq1ri+6hTo05zuAQAAmoT5BdCKDu2U3lwoHd5V//io26UL/iT5hZzxVAcKyrUkNV0vbtuvyhqHad242AglJsRpXGyELBYCDgAA4HrMMYAze+aZZzRr1iwNGjRIu3fvltXagAUQhkMqyZWKcyUZzuM2Hym0l+QXoksvvVTvv/++HnjgAf3pT39yPpVhqLC8WkeKK1VRbTe9pM1qUecgX0UE+siLRRoAAMANmF8ArYgMAwBOatK9mkY4070aAI3T6os1JOmKK67Qrl279Pjjj+vdd99VTk6OfHx8FBcXp2nTpmnhwoUKCAhwRSum/vWvf+mTTz7R5s2b9e233+rYsWMqKChQQECAIiMjNWbMGE2fPl1TpkzhzRfcL2d77QTk6J76x8+dI13woOQbdNrTVNsdev2LA3oyJV0Zx0pN6zoH+WrOxGjNOK+Pgnxd8mMDAADAFPMLoIVVl0upj0gb/ysZ9XzwKayPdOX/pJjJZzxV+tESPZmSrte/OKAaRz0fyDrhgoFdtSAhTuf07tSczgEAAFoEcwzAXGlpqe69915J0v3339+w8L+qtHY3jZqK+scDOp/YTcMmSXrggQf0/vvv65///Kdmz56tXr16SZIchqGCsmodLa5UZY35Ig0vq1Vdgn0UHugrG0+5BQAAbsb8AmhhZBgAUEeT7tU0ktm9GgBNYzEMw/ydB1wqJyfn5A+1/fv3Kyoqys0dweNUlUqf/lX6bJHqfRJVRJx0xX+lvuNPe5qKarvWbNuvJesydKCg3LSuZ5i/5k2O0bRRveTnbWtm8wAAoC3iPWrbxvcPZ7Rvk/TWz6W8NOcxi1UaM186/w+ST+BpT/P1wUItSknXe7sPyewug9UiXXZ2pBbEx2pgjzM/2QoAALRPvEdtu5rzvfv+++9VU1MjLy8vnXXWWa3VIlrB3//+d913330aOHCgvvrqq9N/AMBhl4oPSaVH6x+3+Uphvet90NSUKVP00Ucf6c4779TixU8qv6xKx4orVWU3f8qtj82qLsG+6hTgIyuLNOAB+FkHAK7H/KJt4/uHMyLDAFoN85e2q1H3aprhp/dqnnrqqVa5BtDamvKzrjXeo/KIfKCtSPtYeueXtU+jOpXFJo2/S5p8j+TtZ3qK4opqrfosW8s3ZOhYSZVpXUyXQC2Ij9PU4ZHyZqtwAAAAoP0pL5A+/qO0Y2X9410GSlOfkKJGnfY0O/blKyk5XZ/uPWJa422z6JoRUZoXH6vozqcPTAAAAAB4jvLycv373/+WJP3yl788ffhfUSQV7pfsJtlDUDcpqLtkco5f//rX+uijj7RixQrdeOcvFdGtu+mlfL1s6hrsq9AAb1l50jMAAADQ/pBhAEC9GnWvppl+eq/mgQceUM+ePVvtWkB7x2INwNOVHpM+uFfa/VL9492HSlOTpB7DTE+RX1qllRsztXJTlooqakzrBkeGKDEhThcN7s5W4QAAAEB79c1b0nu/lUoOO49ZvaVJv5Em/Ery8qn35YZhaEPaMSUlp+mzjHzTy/h5W3Xjub1156QYRYb5t1T3AAAAAFxk1apVysvLk6+vr6ZNm1Z/kb1aKjoglR+vf9zLv3Y3DZ8A0+vU2B0acu4EhXfuovxjR/XCM8u08Hf/51Tn7127SCPE31sWFmkAAAAA7RMZBgCYatC9mhZywQUXqGvXrjpy5IgWL16shx56qFWvB7RnLNYAPJVhSLvW1C7UKK9n8mDzleJ/L437uWTzrvcUuUUVWrouQ89vyVZ5td30Uuf27aTEhDhN7teFgAMAAABor4oOSe/9Rtr7Tv3jPUdKVz4hdRtU77DDYeijPblalJymnTmFppcJ9vXSzWP76PYJ0eoc5NsSnQMAAABwg+XLl0uSLrvsMoWFhdUdNIzaBRqFOZJRX/5gkYK7S0FdJUv9T3mstjt0tLhS+aVVchiGLrriar2wYonefPkFLfjNfSefDhno46UuIb4K9vUiwwAAAADaKzIMADij096raWE2m0033HCD/ve//2nlypX685//3Ko7eQDtGf9yAE90PEtadY30+tz6F2r0mSDN3yhN/FW9CzWy88p03+u7NfGRZC3bkGm6UGNSvy56ae5YvTxvnOL7dyXkAAAAANojh0PatlxKGl1/yOEdKF30d+mOj+oNOWrsDr3xxQFd/Pg6zX1uh2nIER7oo99M6acNvz9fv7t4ACEHAAAA4GLV1dXq3r27LBaLLrnkkjPWf/XVV7JYLLJYLPrb3/5WZ2zfvn3asmWLJOnaa6+t+8KaSik/XXkZOxU54mey9DxHkedMUV5+Qe24T5DUZUDtYo0TCzWuueYaWSwWWa1WvfP++8o5Xqa9h4t1rKRSDsOQJF1wyZWSpCOHD+qLrZsV7Oet2C5Biu0apBC/trGbxp133nny73T16tWmdW+99dbJuhkzZriwQwAAAMDDkGEAaMdcdq/mhLy8PEVGRspisSgyMlJ5eXmm1/rpvZq1a9fWW/PDdQ4cOKANGzacsX9PxL0aeAIWawCexF4tbfiPlHSelP6p87hvqHTF49Ktb0udz3Ia/i63WL9c86US/p2i1VuyVWV31HuZiwd319sLJ+jZ20drdHR4S/8pAAAAAHiK3G+kFRdL7/5KqixyHo+7UEr8TBq7QLLa6gxV1ti1eku2zv93qu5e86W+yy2p9xLdQ/x0/+WDtOGeBC08/yyF+te/8x8AAACA1uXt7a1bbrlFkrR27VodOHDgtPVPP/20pNonJd566611xlJSUk5+fd5559V+YTik4lzpyF6pslgR4WF65rE/y2Kx6FDuMc353UNSaC8pIk7y9jv5+uXLl+v111+XJN1253z1GTpO+aVVMk4s0vjB4OEjZLPVzksydm9TdOdABfp6Nf4vwo0ee+wx9evXT5K0YMECZWdnO9Xk5uZq9uzZkqTevXtr0aJFLu0RAAAA8BhkGADauVa/V3OKiIgIPfPMM7X3ag4d0pw5c+qt++m9ml/84heaMmVKvXXnnnvuyXs1P71+W8K9GniCtnWHE2jPcrZLb98l5X5V//igqdIl/6h9EtUpduUUKCk5TR9+nWt6epvVoiuHRWpBfKzO6hbcUl0DAAAA8ETV5dK6f0obH5ccNc7jAZ2lSx6RhlwrnfJ02rKqGq3ekq2l6zOUW1Rpeone4QGaHx+ra87pKV8vm2kdAAAA0BAOh6HjZVXubsOlOgX4yGpt2d0iZs+erX/+859yOBx69tlnde+999ZbV11drVWrVkmSpkyZop49e9YZX79+vSQpPDxcMTExUlWpVLBfqimvU3fhpPN09+yb9J+lz+v19z/V8hff1B133HFyPD09XXfffbckKa7/QM37zf0yVHeRhiRZZFFkRJgGDRqs3bt36bNNG5v8d+BOAQEBWr16tcaOHavCwkLdfPPNSk5OltX64/Pzbr/9dh09elRWq1XPPfecQkND3dgxAAAA4AZkGECbwL2altFq92pMXHjhhbr77rv1n//8R6+//rqWL19ueq9myJAhevjhh03PFRAQoMGDB2vXrl0nr9/WcK8GnoDFGoC7VRRJn/xZ2rZMqiegUHCkdNm/pQGX1jlsGIa2ZOYrKTlN678/Znp6H5tV00ZFae6kWPWOCGjh5gEAAAB4nPRk6Z1fSscz6x8fdpN00V+lgLq77BWWV+vZTVl6emOmjpdVm56+X7cgJSbE6bKhPeRlY8NOAAAAtIzjZVUa+dDH7m7DpXb83wWKCPJt0XP269dPkyZN0rp167RixQrTDwC88847Onr0qCTVCex/sGnTJknSiBHDaxdplJnkEFZv/f0fj+qTLbu1a9cu3XXXXZo8ebJiY2NVVF6laTdMV0lJiXx8ffX3/y2Rr59fnZdbLBaFB3irc7CvfL1sGjVqpHbv3qXNmzfLMAxZLI3/gMSDDz6oP/3pT41+3U/16dNHWVlZTXrtyJEj9ac//Un33Xef1q1bp3/84x/6/e9/L0lKSkrSe++9J0m65557NGnSpGb1CQAAALQ5ZBhAm8G9mpbR8vdqRpzxmn//+9/1ySef1LlXExcXJ7vdrpkzZ6qkpES+vr56/vnn5XfKvZpTjRw5Urt2ca8GaA4WawDuYhjSnrek9++Rig/VU2CRRs+Rzr9f8gv5ycsMpXx3VEmfpmn7vuOmp/f3tmnGmN6aMylG3UJO/wsVAAAAQDtQclRa+wdp15r6x8NjpMv/I8XE1zl8rKRSyzdk6rnN+1RSWc8TrE4YFhWqxIQ4XTCwW4s/UQYAAABAy5k9e7bWrVun77//Xhs3btT48eOdalasWCFJ6ty5s6644gqn8ZycHElS1xBf84UagZ2l4Ej5Wm1avXq1Ro0apdLSUt04/SY9/+ZaPfavh/XFjm2SpF/c84D6DRxy8qVWi0URgT7qHOwr7598gKpr166SpNLSUhUUFKhTp05N+0tws3vuuUcffPCB1q1bpwceeEAXXnihAgMD9dvf/lbSjx8SAAAAADqMZmQYT5/IMIrJMAC0US16r+bEvZPT8fX1rXOvZsaMGdq4caMeeughffbZZ5JqF3ScffbZZzwX92qA5mOxBuAOx7Ok934rfb+2/vFuQ6QrHpeiRp085HAY+uDrw0pKTtPXB4tMTx3i56Vbx/XVbeOjFR7o08KNAwAAAPA4Dof0xbPSR3+UKgqcx61e0vi7pUm/kbz9Tx4+WFCuJesy9OK2bFVUO0xPPyY6XAvPj9OEuM5NelIKAAAAANe67rrr9Itf/EIFBQVasWKF0wcAcnNz9f7770uSZs6cKR+fullCZWmRiouLJUmdQoKcL+DlL4X1knwCTx4aNGiQHvzLX/X73/5aO7Zv0y/m3qZPP3hHknTexHjNnD1fkmSzWhQR6KvOQT71PuU2PPzHp+cePXq0SR8AWLBgga677rpGv+6nTv07aSyr1arnnntOw4YNU0FBgWbMmKGAgACVl5crICBAzz//vLy9vZt1DQAAAKBNIMMAgObfq6ms/PFeTQPvlQwePFiPPPKI7rrrLm3dulU33XSTXn/9dUnSBRdcoLvvvrtB5+FeDdB8LNYAXMleLW36n5T6D6mm3Hncy1+K/700NlGy1f7gr7Y79OaXB7U4JU3pR0tNT905yEd3TIjRzPN6K9iPXxoAAABAh5D7tfT23VLO1vrHe42pXQjedeDJQ5nHSrU4JU2vf3FA1XbD9NTnD+iqxIRYjewTbloDAAAAwPP4+/vrpptu0qJFi/TSSy/p8ccfV2DgjwsrnnvuOdXU1D6R9vbbb//xhYZDKjmi/LSvTh7qFPrjzt+SVQruLgV1kSy1Cy0chqGCsmodLa7UxTfcprfffU8bUz7R2nfekCSFhnXSXx5dJG+bTZ2DfRQR6COb1XmRxsnr/STwz8vLa9Kfv2vXrg16ymRr6927txYvXqzp06fr22+/PXn80UcfVf/+/d3YGQAAAOAiTcwwnkxJ12tf5JBhAGg3mnyv5oT8/PyTXzdmscTPf/5zvf/++/rggw/08ssvS6pdfPHMM880eIEb92qA5mOxBuAq+zZL7/xSOrqn/vHYn0mXPyp16itJqqi26+Xt+/VkaoYOFNSzsOOEyFA/zZ0cqxvO7SU/b1srNA4AAADA41SVSikPS5uTJMPuPO4bKl34oHTOLOnEB6H2HCrSopR0vbvroBwm+YbFIl06pIcWJMRqcGRoq7UPAAAAnKpTgI92/N8F7m7DpToFtN7u2HPmzNGiRYtUXFysV199VbfccsvJsRUrVkiSzj33XA0dOrT2YGWJVLhfqqmQn++PD4Qqr6is/cI3WArtJXn5SqrdDfx4WZWOFleqyl77lFuLxaL7H/6PLh03XA5H7bH7HvqHhg+IUXiAj6zWM38IoLz8xzzE39//NJVtw4033qhly5bpk08+kVT75Mq5c+e6uSsAAACglbVmhjG0hxbEk2EArsC9mpbV6Hs1P+Hn53fy65/eOzkTi8Wip556StHR0Sfv1fz3v/9VZGRkg8/BvRqg+VisAbS20jzp4wekL1bVPx7UTbr479LgaySLRSWVNXr+s31auj5Tx0oqTU8b0zlQ8+JjddXwnvLxMn8KFQAAAIB2Zu970vu/q/0gVX2GXCdd9DcpuJsk6fPs41qUnKaP9xwxPaWX1aKrR/TUvPhYxXYJao2uAQAAgNOyWi2KCPJ1dxvtxvDhwzVy5Ejt2LFDK1asOPkBgC1btuibb76RdOJJjfYaqfiAVPbjExrDQoPl5eWlmpoa5RcW1z5kyi9MslhkdxjKL63U0eIq1ZwI+X/qxZVLT4b/kvTV1vXqnDi7wX3/9EmRXbp0aeSfutaRI0d05Ij5/KchfHx81K9fv2adQ5K+/PJLrV+//uT/3rlzp3Jzc9WtW7dmnxsAAADwSGQYQLvBvZqW1eB7NfUICwv78V7NT+6dNMQTTzxR517N2rVrNWPGjAa/nns1QPOxWANoLQ6H9MWz0scPSuXH6ymwSKPnSOf/n+QXquOlVVq5KUsrN2WpsLza9LQDe4QoMSFWlwzpIVsDnkIFAAAAoJ04niW9f4/03Qf1j4fHSJf9W4o9X4ZhaFPaMSUlp2lTuvl2tL5eVt14bi/NmRSjqE4BrdM3AAAAALeYPXu2duzYodTUVGVkZCgmJubkkxr9/f01/cop0pFvnJ50a7FY1Dn8/9u77/CoisWN4+9ukk0vBBLpNQZRsVAERASkSbOgIBIREBQFC4iicFXABipcyk9BryUIooiKiiCioCCICKJSLiAICARpoaWXzZ7fH1xWYjYhCbubTc738zx57pozZ2Y2Q3LPO7NzTpQOH03WyUxDCq4ke55Dx9OzlZyWrbxCbnO74cc1mvOf1yRJERERSklJ0dw5c9SzRw/17t27WH0+efLv9ZQqVaqU5m1r5syZmjBhQqnOPatOnTr6888/L6iOrKwsJSQkKCcnR6GhocrMzNSxY8c0ePBgLV68+ILqBgAAAHwOaxgAcF7nnau5806X51ksFlWpUkWHDx/ON3dyPitXrtSUKVMk/T1XM2fOHPVgroa5GngVt+MHPOHQJuntTtIXj7jeqFH1CuneFVK3V3Q0J1AvfrldrV/6VtNX7Cp0o0aT2lF6Z2AzffnwdepxRXU2agAAAABmYc+Wvn9Feq2F60UOP5vU9gnpgR/lqNde32w7oltnrlXCWz8VusgRFuiv+9s20JonbtCEmy9nkQMAAACogPr166eQkBAZhqF3331XmZmZmj9/viSpV7eOitTpAhs1JEn+wWrc+ApJ0u+7dunQ6UztOJyqIylZhW7UsGemafyjw+RwOBQbG6tff/1VcXFxkqT7779fBw8eLFafd+7cKUmKj49XYGD5vnvn448/7rwz5muvvabHH39ckrRkyRLNmjWrLLsGAAAAuA9rGABQbEXO1fTqpcjIyELPbdy4saS/507O59SpU7r77ruZqzkHczUoKzxZA3CnrNPSdy9K6/8jGQUf/y1b2JknaTS/VwdO5+iNz7Zowc9JyrG7KPs/bS6uomHt4tSyfrQsFjZoAAAAAKay+zvpy8ek43+4Pl63jdT938qrfLEWb/5Ls1bu1o7DqYVWFxUSoHta19OAVnUVGRLgoU4DAAAA8AURERHq06ePZs+erXfffVdx9evp9OnTkqTBd/QoeILFKoVXk0JjdG2b6/XNim+18/ff9eehZIWGhbtsIyzQX7HhQbp30ANKSjogSXrnnXdUv359vffee7ruuut04sQJDRw4UF9//fV51zl+/vlnSVKbNm1K/b7Hjx+v8ePHl/p8d/jqq6/06quvSpJ69+6tAQMGKDc3V998841++eUXPfbYY7rhhhvUsGHDMu0nAAAAcEFYwwCAEikwVxMX9/dczeDBRZ7bpk0bffPNN/r999+Vmpqq8HDXczVnPfDAAzpwgLmas5irQVniyRqAOxiGtOlD6dXm0k+vu96ocVkv6cEN+qP+XXr0k61qN3ml3lu3v9CNGp0vvUifDW+tuYNbqFWDymzUAAAAAMzk9EHpo0HS3FtcL3KExkq93lJOwueavzdIHaas1CPzfyt0kSM2PFBPdW+kH564QQ93uJhFDgAAAMAkhgwZIknat2+fRo8+c7fAerVrqN21zfIXDIqSYhspK7CyDpzMVO1Lm0qSHA6H/rv5twL1RgQFKC42TPVjwvTZx/Odd4F84IEH1L17d0lSixYt9NRTT0mSli9frmnTphXZ1z179ig5OVnShX0AoKwlJydr0KBBkqQaNWrojTfekCQFBARo3rx5Cg4OVkZGhhISEpSb6/pp6wAAAIBPYw0DAEot/1zNaElSvXr11K5duyLPOztX4nA4nBsoCvPee+8xV3MO5mpQ1tisAVyoI/+VErtJn94npR0peDy6gdT/U229dpoeWHRInaZ+r4W/HHT5qHCrRbrlqupaNuJ6/efuZrqqVpTn+w8AAADAd9hzpDXTzmwE/+/CgsctVumaococ+pPeSWmmtpNX6smFW/Tn8QyX1dWKDtYLt16u70e315A29RUayAM2AQAAADNpfU0TNYpvIEk6fPTM4vqgPjf9fYMov0ApuoEyw2pp36lc7TySqpMZObqy6TWKiIySJK1fs0qSZJEUFWJT/EXhqlslVCE2f+3bt0/Dhw+XJDVs2FCTJ0/O1/5TTz2lli1bSpLGjBmjrVu3FtrXFStWnOmSn5+6dOnilvdfFoYMGaLDhw/LYrHo3XffVaVKlZzHLrnkEr3yyiuSpI0bN5b5XSUBAACAEvHQGsbqJ1jDAGAerVu3VqNGjSRJhw8fliQNGjTovDfzvvbaa51zDGfnUFxhrqYg5mpQ1tisAZRW1mnpqzHS622k/WsLHvcPkto/pZ+7L9GAVWHq8X9rtHTrYRkF92jI5mfVndfU0nePtdO0vlerYdWiH1EFAAAAoALas1J6vbW0fJyUm17weI2mShvwjV4Lvk/XTd+oZxdv06HTWS6rujg2TFPvuFLfjWqnhBZ1FBTg59m+AwAAAPAtDrt0Okk6tkOD77jJ+W2r1aqBfXpKskjh1ZQeGae9aX7adTRNpzP/vnNggM2mzj1vkSQtXfSJokNtiq8artrRIc584XA41L9/f6WkpDjvRBgSEpKvG35+fnrvvfcUFham7OxsJSQkKDs722WX33//fUlSx44dVbVqVTf+MLznzTff1Oeffy5JGjFihDp06FCgzPDhw9W1a1dJ0qRJk7RmzRqv9hEAAAAoFQ+uYQT6s4YBwFwGDx7sfG21WjVw4MDznmOz2dSnTx9J0gcffOCyDHM1BTFXA1/AZg2gpAxD2vSh9H/NpHUzJSOvYJGLO2td1yXqs/063f7mL1q185jLqoID/DT4unr6fnR7Tex1hepUDvV07wEAAAD4mtMHpY8GSnNulpJ3FjweFKW0Tq/olVqvqlXicb2y7HcdT89xWVXjGpF6/a6mWjbiet16dU35+xH7AQAAAFMxDCnjhHR0u5R+Zm2i/+3dnYc7Xd9CNevHKy3yYu3ODNPu5AylZuW6rOrOAfdKkpL2/akDOzYV+ADVpEmTtHr1aknS+PHj1bRpU5f1NGjQQNOnT5ckbd68WWPHji1Q5uDBg/r+++8lScOGDSvJO/YZu3bt0siRIyVJjRs31sSJEwstm5iYqJiYmHwfogAAAAB8EmsYAOB2/fv3d77u1KmTatWqVazzzj4xY8+ePfrxxx8LHGeuJj/mauAreHYYUBKHNklfjpYOrHN52IiqrV8aPalxv9fS1o+OFFpNeJC/BrSqq0Gt66pyWKCnegsAAADAl9mzpR9flb6fLOW6egS4RRmXJ+g1vwS981WKMnP3FlrVNfWi9WD7OLW5uMp5H5ELAAAAoILKyTjzNI1/3OV2y/Zdztf9BgzWH/ZYZZ50vUFDkvysFlUODdSl7VuqS5cuWrZsmd5++221atUqX7mxY8e6XMx35Z577tE999xT6PHExEQ5HA41bNhQPXr0KFadvubiiy9WWlpascpedNFFOnr0qId7BAAAAFwA1jAAwGO2bNnifF3UfMk/NW7cmLmaEmCuBr6CzRpAcWSckL59Tto4WzIcBQ4bfoHa0eAejTp0g7Z9lysp1WU1lUNtuue6eurfqo4iggI822cAAAAAvmvnMumrJ6UTe1wezo69Um9FDNP0XyOVk3ey0GraxsfowRvi1LxutKd6CgAAAMDX5dml1ENSRrLLw+98uEiSFFUpWpe26aHM3IJPDJckf6tVVcJtqhxqk5/1zB1uJ0yYoGXLlmnOnDl6+umnVadOHbd3Py0tTdOmTZMkjRs3TlYrd9cFAAAAyhRrGADgUe+8844kqXLlyrr55ptLdC5zNUD5w2YNoCiOPGljovTt81Km63BxMKaNRqbcqfWboyS5vhNVtcgg3Xd9ffVtXlvBNj+XZQAAAACYwPHd0ldjpF3LXB7OC4zUx1GD9a/9TWQ3rJIKbha3WKSul1fVsHZxurxGpIc7DAAAAMBnGcaZDRophyTD9QaMnX+d0keLl0uSbu7TT7bAgk/7DvCzKiY8UNEhNlmt+e9y26JFC/Xp00cLFizQxIkT9frrr7v9bbz22ms6fvy4mjdvrr59+7q9fgAAAADFxBoGAHjcn3/+qY8++kiSNGjQIAW6mKspCnM1QPnDZg2gMPt+lJY+Lh3e4vJwSlANTcjtr08ONJbk+hF9dSuH6IF2DXTr1TVl82d3IQAAAGBa2WnS6ilnHhmel1PgsCGLVod30yPHeurk6QiXVfhZLbrlqhp6oF19xcWGe7rHAAAAAHxZdpp0OkmyZxY4dPDQUaVm2bVxf4qef3GScnNzFRgYpITBD+QrF+jvp5jwQEWFBMhqcb3OIUlTpkxRo0aNFBgYKIfD4fa7KYaHh2vcuHHq1auXLEX0AwAAAICHsIYBAB518OBBZWRkaO/evXryySeVm5uroKAgjRgxolT1MVcDlC9s1gD+6XSS9M0z0tZPXB7OtQbqDeNW/d+pG5Utm8syl1QN17D2cereuJr8rPyfFQAAAGBaDoe0ZYH0zTgp7bDLIrtsjfRoaoK2ZNV3edzmb9UdzWrpvuvrq1Z0iCd7CwAAAMDX2XOklL+kLNdPA3fIoj4PjdPaH3/K9/1hj43RRdWqS5KCAvwUGx6oyOCAYi2416xZU+PHj7/grhdm2LBhHqsbAAAAQBFYwwAAr0hISNCqVavyfe/ZZ59VjRo1SlUfczVA+cJmDeCs3EzphxnSmqku70QlSV8ZLfVsRj/9pSouj19VK0oPto9Th0ax7CgEAAAAzC5po/TVE1LSBpeHT1or6bmsO/Rp1nUyVPBuJ6E2P93Vso4GX1dPsRFBnu4tAAAAAF/mcEjpR6TUo5IcLoucNkL1lxGtHOPM8l9QcIjq1G+guwY/oJt636kQm79iwwMVHuTPGgYAAABgdqxhAIDXhYSEKD4+XiNGjNCAAQPKujsAvITNGoBhSNs+k75+Wjp9wGWRnUZNjcsdoB8dl7k83jqusoa3i1OrBpVZ4AAAAADMLvWwtOJZ6bd5Lg/b5ad37Ddqhv1WpangXaYigwM0qHVdDby2rqJCXD/NDwAAAIBJGIaUderM0zTyclwWyTIC9JdRRWk68wGptz9anO94WOCZTRqhgWzSAAAAAEyPNQwA8LqVK1eWdRcAlCE2a8DcDm2Svhor7Vvj8vBpI1RT7bfpvbyOsrv4denYKFbD2sepSe1Knu4pAAAAAF+XmyWtmymtniLlpLkssirvCj1r76/dRsFH2saEB+reNvXUr0UdhQUS1wEAAADTy8mQUg4Wmi/shlVHVUnHjQgZLo5HBAUo5n+bNAAAAACYHGsYAAAAZYIrJ5hT6hHp22elX+dJLpYw8gyL3s/roH/bb9dJReQ7ZrVIPa6orgfaNVCjahEFzgUAAABgMoYhbftc+uZp6dR+l0X2Oi7Sc/b++tZxtaT8d7KtERWs+9s1UO+mNRUU4OeFDgMAAADwaXm5UupfUsYJl4cNQzqhcB0xKsmu/BnCIiky2KaY8EAF28gXAAAAgOmxhgEAAFCm2KwBc8nNkta9Jq3+d6G7xNc5GmlC7t3abtTJ9/0AP4tua1JTQ9s2UL0qod7oLQAAAABf99dv0ldjpP1rXR5ONYL1f/ZbNDvvRuUoIN+xBjGhGtYuTjddVV0BflYvdBYAAACAT3M4pPSjUtoRyXC4LJJmBOkvo7KyZMv3fYvFokohAYoJC1QgH6ACAAAAILGGAQAA4APYrAFzMAxp22fSN88Uuks8yaiiF3ITtNRxjc7dJR4UYFXf5rV13/X1VT0q2Dv9BQAAAODbUg9LK56TfnP9tD5J+sh+vV6299UxReX7/mXVI/Rg+zh1uayqrFaLy3MBAAAAmIhhSFmnpJS/pLwcl0VyDH8dMqJ1WvlvJmW1WBQdalOVsEDZ/PkAFQAAAACxhgEAAOBD2KyBii/pZ2nZWOnATy4PpxuBes1+s97O66bsc+5EFR7or7uvraN7WtdT5bBAb/UWAAAAgC/LyZB+fFVaM03KTXdZZL2joZ7L7a8tRv18329et5KGt49T2/gYWSwscAAAAACQlJMunT5YaL7IMyw6piglG5FynHOjKT+LRZXDbKocFshdbgEAAACcwRoGAACAz2GzBiquU/ul5ROkrR+7POwwLPoor60m23vrmCo5vx8datPg6+qpf6s6iggKcHkuAAAAAJNxOKTNH0ornpVS/3JZ5IAjRi/a+xV4Wl/b+BgNbx+na+pFe6mzAAAAAHyePVtKOSRlnXR52DCkkwrXYaOS7PJzft/falWVMJuiw2zyt7JJAwAAAIBYwwAAAPBhbNZAxZOVIq35t/TjTCkv22WRnxyX6Nnc/vqvUc/5vaoRQbrv+vq685raCrb5uTwPAAAAgAntXS19/S/p0CaXh9OMIL1mv0Xv5N2Y72l9N15WVcPbx6lxzUhv9RQAAACAr3PkSWlHpLSjkgyXRdKMIB0yKivznHwR4GdVTFigKoXa5GflLrcAAAAA/oc1DAAAAJ/GZg1UHHm50i/vSisnSenHXBbZ74jRxH/sEq9TOUQPtG2gW5vUUKA/mzQAAAAA/E/yLumbcdLvS1wedhgWLchrqynnPK3Pz2rRzVdV1wNtG+jii8K92VsAAAAAvsxwSBnHpdTDksPuski24a/DRrROK9T5PZu/VbHhgYoKsclqYZMGAAAAgP9hDQMAAKBcYLMGyj/DkH7/8kwAOb7LZZEUI0Qz7LdqTl5n5ShAkhR/UZiGt49T98bV5O/Ho8IBAAAA/E/aMWnlRGnjbMnIc1lkdd7letGeoO1GHUmSzc+q3s1q6v62DVQrOsSLnQUAAADg0wxDyjotpfxV6NPA8wyrjihKx40IGf+70VRQgJ9iwwMVGRwgC5s0AAAAAJzFGgYAAEC5wmYNlG9JG6Wvn5L2r3V52G5YNTevk2bYb9VJRUiSrqwZqeHt49Sx0UWy8qhwAAAAAGflZEjrXpPWTJNy0lwW+cNRXc/bE7TScZUki0JsfkpoUVtD2tTXRRFB3uwtAAAAAF+Xky6lHDzzvy4YhnRcETpqRMmuM0/+DrH5KSY8SBFB/mzSAAAAAPA31jAAAADKJTZroHw6sVf69jlp6yeFFvkmr4km2e/UbqOGJKlV/coa3j5OreMqs8ABAAAA4G+OPGnTB9K3L0ipf7ksctwI11T77Zqf1152+SsiyF8DW9fToGvrqlKozcsdBgAAAODT7NlSyiEp62ShRVKMEB0yopX9v6eBhwX6KyY8UGGBbNIAAAAAcA7WMAAAAMo1NmugfElPlr5/RdrwtuTIdVlks6OeXrQnaJ3jUklSh0tiNax9nJrWqeTNngIAAADwdYYh7fpaWj5eOrrNZZEsI0Bv53XV6/ablKoQVQkL1JA29ZTQorbCgwK8218AAAAAvi0vV0o7cmYtQ4bLIhmGTYeMykrXmbvaRgQFKCY8UKGBLNkBAAAAOAdrGAAAABUCM78oH3LSpR9nSj9Ml3JSXRZJMqro5dw79IWjlWSxqvsV1TS8XZwurR7h5c4CAAAA8HlJP0vfPCPt+8HlYYdh0UJHG03J7a1DqqwaUcF6vG199WlWS0EBfl7uLAAAAACf5siT0o+d2ahhOFwWyTH8ddiopFMKkyRFBgcoNjxIwTbyBQAAAIB/YA0DAACgwrCWdQeAIuXZpZ8TpRlNpO+ed7lR47QRohdy+6lD9mR9qevUu1ltrXi0rV7r14SNGgAAAADyS/5D+rC/9FaHQhc5Vuddrh45L+ix3PsVXKW2Xrn9Cq18vJ3ublWXRQ4AAAAAfzOMM0/ROLpdSj3kcqOG3bDqkBGtnUZNnVa4okNsanhRuOpUDi03GzXeffddWSwWXXbZZXI4XG9GuRDdunWTxWLRuHHj3F43AAAAUK6whgEAKAbmaoDyhc0a8E2GIf33MxkzW0qLR0hphwsUyTb89Za9q9pmT9Ucy03q2+pirRrdXi/ffqXqx4R5v88AAAAAfFfKIemLETJeu0bavshlke2O2hqQ84T6546Rql6h1/o10TePtlXvZrUU4Ed8BgAAAPA/hiFlnpRxdLt0+oDkyC1QxGFYdMyI0O9GLR1XlCqFBalh1XDVjA5RYDn6AFV6errGjBkjSXr66adltbo/Gz3zzDOSpFdeeUUHDhxwe/0oHywWi8aPH1+ic1auXCmLxaKVK1eet+yxY8eUmJiou+++W5dffrnCw8Nls9lUtWpV3XjjjXrjjTeUmZlZus4DAABcKNYwAADFxFwNvIW5GvfxL+sOAAXs/k7Gigmy/PWrLC4OOwyLPnW01lR7b52yVdNdreto8HX1FBMe6PWuAgAAAPBxmSelNdNk/PSGLPZMlxkjyaiiKbm99ZmjtZrUqazE9nFq1zBGFour0gAAAABMLStFRuohWXIzXOYLw5BOKUxHjErKswQoOtymKmGB5fbDUzNmzNChQ4fUqFEj9enTxyNttGzZUp06ddI333yj559/Xm+88YZH2oF5vfnmm3rggQeUl5dX4NiRI0e0bNkyLVu2TFOmTNHHH3+sK664ogx6CQAATIk1DABACTFXg4rAbHM15XNmGBXTwY1yvHuzNPcWWf761WWRlXlXqnvOi3o+4BHd0bG1fnjiBj3Z9RI2agAAAADILydDWjNVjmlXSj9Mk8Ve8I4LJ40wPZeboA7Zk5Xc4FZ9cN+1+vj+Vmp/SSyLHAAAAADyy0mXkfyHdGK3LLkZLoukGsHaZdTQIUusKkWEqWHVcFWLDC63GzUyMzM1ZcoUSdLIkSM9cqfGs0aNGiVJSkxM1MGDBz3WDnzDwoULlZHh+vfoXGvWrNHevXslSXa7XR9++KEMwyjyHMMw9OGHH8putzu/d+TIEeXl5clms6lXr156/fXXtWrVKv3yyy/66KOP1LlzZ0nSrl271LFjRyUlJV3AuwMAACgG1jAAAKXAXA08hbkazyqfs8OoWI7ukGN+f+nNG2Tdu9Jlkc2Oeroz5196IvgZ3dbtRq154gY91OFiRYYEeLevAAAAAHybPUfa8Jbs066Slo+XNft0gSJZRoBm2XuqbfZUJV1yjxYMb6+5g1uoZf3KLHAAAAAAyC83U8aJPVLyTllyUl0WyTBs2uOopiRrdVWKjFTDqhG6KCJI/uV0k8ZZ7733no4fP67AwED17t3bo2117NhRsbGxys3N1axZszzalhmsXLlSFovFJzPunj171Lt3b1166aVavHixyzInTpzQvffeq+uvv14TJkyQdObfY9++fdW2bVtt27bN5Xnbtm1T27Zt1bdvX7333nvO74eGhuqJJ55QUlKSPvnkEw0dOlTXX3+9rr76at1+++1atmyZHn30UUnSsWPHNG7cODe/awAAgP9hDQMAcAGYqym/mKsx91xN+Z4lRvl28k/ZP7lfjpmtZN2xyGWR3Y5qeiDnET0Y+m/1uPkOfT+6vYa0qa/QQH8vdxYAAACAT3PkSb99oJzpTaQlo+SfcaRAEbth1Tx7B7XPmarfLx+lj0d21Rv9m+nKWlHe7y8AAAAA32bPlnFyn4xjO2TJKvgBKunMh6j2OWK131pLkVGV1LBquGLCA+Vn9b1F19J4++23JUndu3dXVFSUR9vy8/PTHXfcIUmaPXu2HA6HR9tD2alfv76WLVumSpUqqWfPnrrtttvy3aFzzpw5uuSSSzR37lyNGjVK06ZNkyT1799fs2bN0s6dO3XVVVdp7Nixysw8cwfqzMxMjR07VldddZV27typWbNmqX///s46R44cqUmTJikmJqbQfk2cOFHVqlWTdOZukue7KyQAAECJsIYBAHAD5mrgCczVeB6bNeB9qYeVs2ik8mY0lf+WD2RVwT/ih4xoPZF7r4ZFzlSX3kP17WPtlNCijgL9/cqgwwAAAAB8lmFI2xYpY3oL6bP7ZUs94LLYF3kt1dU+RVubTNCHj92maX2vVvxF4V7uLAAAAACfl5crx6kDMo5ulyXzhFxtu8gx/JRkVNF+v9qKiI5Rw6rhqhwWKGsZ3xkvNzdXVatWlcViUdeuXc9bfuvWrc47+r344ov5ju3bt08//fSTJOm2225zef7x48dVvXp1WSwWVa9eXcePHy+0rV69eslischqterrr792WeZsOwcPHtSaNWvO239fdN999zl/pu+//36h5RYtWuQsl5CQ4MUeXjh3jHvHjh21ceNGJSYm6qefflKjRo0kSVOmTNHAgQPVoUMH7dixQ6+88orzwyd+fn66//779ccff2j06NGaPn26+vTpI0nq06ePpk+frtGjR+uPP/7Q/fffLz+/kq0p2mw2tW7dWpJ06tSpIt8XAABAsbGGAQCmxlxN2WOuJj/masoGmzXgPenHlbnkX8qdeoVsv7wjP8NeoMgpI1Qv5PbTQ1Xe0g39HtPSke11y9U1yv2jwgEAAAC4mWHI2LVcqf93nbSgv0JO73JZbFXeFbotb6J+azFVc0f308RejVW7coiXOwsAAADA5+XZ5Th1UI4j/5U1I1kWFbxTm92w6pARrf3+dRUeXVUXXxSuSiE2Wcp4k8ZZAQEBuvvuuyVJX3/9db474LnyzjvvSDqzsDpgwIB8x1auXOl83bJlS5fnV65cWe+++64sFosOHTqke++912W5t99+W59++qkk6eGHH1bnzp1dlmvevLlz0fbc9suTadOmKT4+XpI0bNgw7d+/v0CZI0eOaMiQIZKk2rVra+bMmV7t44Vy17hbrVYNHDhQmzZtUo0aNSRJaWlpevXVV/XBBx+obt26LusNCwvT888/r++++855R0XDMPTdd9/p+eefV1hYWKnfW3Z2dr7+AQAAlBprGAAAMVfjC5ir+RtzNWWn/PYc5UfmKaUuHa/sKZcreMOrCnBkFyiSbgRqhv0Wjaz6rq4f+Kw+evAGdbmsqqwV5FHhAAAAANzHsXuVTr56gyzzblP4ia0uy/zsiNcgjdPPbd7Sm08O0dM9LlXVyCAv9xQAAABAsTkcUnqy979SDyvv0FY5/vxB1uM7Zc08KWWeyveVl3FaRzMcOmiPUHiwTQ1CsxXpOC1LxvELa9tR8MnjF+rswrLD4dCcOXMKLZebm6v33ntPktS5c2fnAuxZq1evliRFR0erfv36hdbTqVMnjRgxQpL06aef6u233853fPfu3c7jl19+uSZNmlRoXSEhIbrsssvytV/ehISE6P3331dAQIBOnz6t/v37y/GPcb7nnnt07NgxWa1WzZ07V5GRkWXU29Jzx7gbhqG5c+fqqquuUlJSkqQzi/sPPvig7rrrLpcfnpCk9PR0jRs3Tu3bt3dulLJYLGrfvr3GjRun9PT0Ur2n3Nxc/fjjj5Kk2NhYRUdHl6oeAAAA1jAAVBhlNVdTll/M1eTDXE35wVyNb/Mv6w6gAstO1clvZyhow0yFO9JcFzECNDevozbXHaS7OzbXw3XL7y8TAAAAAM+y/7lWJ74Yp9jj61WpkDLbHHX0hn8/NWx7m6a3qquIoACv9hEAAABAKWWekF5pUCZN+xXjeKwnGn58txRaxa1VxsfH6/rrr9f333+vxMREjRkzxmW5xYsX69ixY5KkwYMHFzi+du1aSdLVV1993jYnTpyoFStWaPPmzXrkkUfUtm1bxcXFKS8vT3fddZfS0tIUGBioefPmKSio6A+gNW3aVJs3b9aPP/4owzBK9dSS8ePHa8KECSU+71x16tTRn3/+WapzmzZtqgkTJmjs2LH6/vvv9fLLL+vJJ5+UJL322mv68ssvJUlPPPGErr/++gvqZ1m6kHFfuXKlRo0apV9++UW33nqrZsyYoVq1amnUqFGqV6+eHnvsMX3yyScaMWKExowZo4iICDkcDiUmJurpp59WcnKyRo0apeuvv17dunXTggUL9P3332vixIl688039dxzz2nQoEEluuPif/7zHyUnJ0uSevfu7dafFQAAMAfWMABUOGU4V1NmmKspgLma8oO5Gt/FkzXgfjnpOrr0JaW9fKkq/fSygl1s1LAbVr2fd4Mm1HtPLR94QzOGdFEzNmoAAAAAcCF73wYdfLWb/Gd3Vezx9S7L7HZU01P+o7S+86ea9OTjGtb+YhY5AAAAAJjS2Ts27tq1Sz/88IPLMomJiZKkKlWqqGfPngWOn717Xmzs+bepBAYG6v3331dQUJDS09OVkJAgu92u5557TuvWrZN0ZrH4iiuuOG9dZ9tLT0/XqVOnzlveV527uP/MM89o48aN2rFjhx5//HFJf39IoDwr7bjv2bNHHTp00PHjx/XFF19o4cKFqlmzpvP4gAED9PvvvyshIUEvvfSSHn74YUnSnDlzNGTIEMXFxem3337TxIkTFRwcLEkKDg7WxIkT9dtvvykuLk5Dhgwp8m6l/7Rnzx7961//knTmjpFjx469oJ8NAAAwF9YwAADnw1xN2WOuhrmassSTNeA+ORk6+M2rCt/4mmIdp1wWcRgWLXJcq+3xw9S7Szv1iw3zbh8BAAAAlBuZf/6so19MUJ3j36tGIWWSjCqaF9hX9TsM0TNN68jmzz0JAAAAAJjb7bffrocfflinTp1SYmKiWrdune/4kSNHtHTpUknSXXfdJZvNlu94dna2UlNTJUmVKhV2T+D8LrvsMr300kt65JFHtH79evXr10+ffvqpJKljx44aMWJEseqJjv77xl7Hjh0rdvvnGjZsmG6//fYSn3euf/5MSspqtWru3Lm68sorderUKSUkJCgkJESZmZkKCQnRvHnzFBBQ/j+cV5pxr1+/vhYsWKCuXbsqJCTEZb3R0dF66623NHDgQNWocWZG4K677lJQUJDuuOOOQu/ieemll2rVqlX68MMPi/1vICMjQ7169dLp06clSf/3f/+n6tWrF+tcAABgbqxhAACKi7ka5mq8hbka38RmDVwwIyddf371qqJ/m6kahWzSkKQvHS31x6UP6tbOHXRLtOtfaAAAAABI3bNBRxdPUIMTq1WnkDKHjGh9FNJX9TsP1WNX1pGfteSPWwUAAACAiig4OFj9+vXTzJkztWDBAk2fPl2hoaHO43PnzpXdbpck3XPPPQXOP3HihPN1SRbgH3roIS1dulRfffWVPvroI0lnFnLffffdQhds/+nc9o4fP17sts8VGxtbrLtMelrt2rU1a9Ys3Xnnnfr999+d3//3v/+thg0bXnD9devW1b59+85brqif/bhx4zR+/PgL6kdpxv22224rVt3XXXed87W/v7/69u173nMsFkuxykmS3W5X7969tWnTJknS0KFDNXDgwGKdCwAAzIs1DABASTFXw1zNuZirKVxFnavx2maN/fv3a8aMGVqyZIn279+vwMBAxcXFqU+fPho2bFihu3FKav78+UpMTNTmzZt18uRJVa1aVW3atNHw4cPVsmXLYtVx/PhxzZgxQ5999pn+/PNPGYahevXq6ZZbbtHDDz+sypUru6Wv5Z2Rk6GdX/6fYjbPUj3HyULLrTCa6c/Gj6hnl87qFh7kxR4CAACgoiJfVEwn/tig5MXPKv7U9wovpMwxI1KLwu9Q/Rsf0kOX1Sr2JBIAAABQFDKGDwiOlh7f7bbqDEeeslOS5Z+VLH85Ci2XagQrOyhGkRHhCvDz8l1ug6PPX6aU7r33Xs2cOVOpqan65JNPdPfddzuPJSYmSpKaN2+uxo0bFzg3KOjvtZzMzMxit2mxWPTGG2+oXr16cjjO/MxnzJhRojvfndtecHBwsc/zVX379tVbb72lFStWSDpzB8OhQ4eWca/cyx3jXhYMw9DAgQP15ZdfSpJ69+6tmTNnlnGvAAAVBfmiYmINA4DpuHmuplxgrqYA5mrKH+ZqfI9XNmssWbJECQkJzkeSSGceU7JhwwZt2LBBb731lr788kvVr1+/1G1kZWWpd+/eWrx4cb7v79u3T/v27dP777+v8ePH6+mnny6yng0bNujmm2/WoUOH8n1/8+bN2rx5s9566y19/vnnatasWan7Wt7lZadr+xfTVf2/b6ihcarQcmt0tQ5c+Yi6dumuDiEX9ggiAAAA4CzyRcVzZMePOrH0eTU6vUaFTX8dN8K1LOoO1e82QvfE12SBAwAAAG5DxvARVqsUWuWCqzEceco6dVQBWccUZMmTgiNclktViHKCYxUZEalwb2/S8IKrrrpKTZs21caNG5WYmOj8AMBPP/2kbdu2SXJ9p0ZJioqKkr+/v+x2e747NxbHq6++6lwElqSvv/5aCQkJxT7/3PZiYmJK1PZZR48e1dGjR0t17lk2m03x8fEXVIck/fbbb1q9erXzvzdt2qQjR47ooosuuuC6v/76a+Xk5Lg8tmHDBuf4btmypdA63HVXywsdd+nMgnxJtWvXrlTnSdLw4cM1b948SVLXrl01b948Wa0V728BAMD7yBcVD2sYAEzLTXM1OIO5GuZqmKspWkWeq/H4Zo1NmzapT58+ysjIUFhYmMaMGaP27dsrMzNT8+fP15tvvqnff/9d3bt314YNGxQWFlaqdgYPHuwMIe3bt9cjjzyi6tWra8uWLXrxxRe1e/duPfPMM6pWrZqGDBniso6DBw+qZ8+eOnLkiPz9/fXoo4+qR48ekqTFixfr3//+t/766y/16NFDGzduVI0aNUr3QymncjJStG3RVNXe8bYu1+lCy621XK2jTUaqU+fuui7Qaw9vAQAAgAmQLyqWA1u+V+qyF3Vp2o8qbOrjhBGm7yr3VVz3kerXoKZX+wcAAICKj4xRcTjy8pR1+ohsWckKVl6h5dIUotyQixQREalwa8X+ANWQIUO0ceNGrVq1Snv27FH9+vWdd2oMDg7WnXfe6fI8i8WiKlWq6PDhwzp5svAnq//TypUrNWXKFElSRESEUlJSNGfOHPXo0UO9e/cuVh3ntlelSuk+EDJz5kxNmDChVOeeVadOHf35558XVEdWVpYSEhKUk5Oj0NBQZWZm6tixY/n+HlyIoj6gkJyc7Hx9+eWXX3BbRXHHuHvbE088oVmzZkmSrr/+en3yyScKCAgo414BACoC8kXFwhoGAMDdmKspPeZqio+5Gh9keFi7du0MSYa/v7+xdu3aAsdffvllQ5IhyZgwYUKp2li5cqWzjp49exp2uz3f8WPHjhm1a9c2JBmVKlUyTp486bKeAQMGOOtZsGBBgeMLFixwHh80aFCp+lqUAwcOOOs/cOCA2+svrYyUE8aGuf8yTo6rYRjjIgr9WjehrbH0y8+NzBz7+SsFAABAueBr16jki5LxtfE764+Ny42tL3UoMl+ceKa6sejVUcaO/X+VdXcBAADgRr52jUrGKL4LGbudO3ca27ZtM3bu3On2fuXZc4205CQj9+BvhnHwl0K/Ug/uME6dOmnk5Tnc3gdfdfr0aSMkJMSQZDzzzDNGRkaGERkZaUgyEhISijy3U6dOhiSjUaNGxWrr5MmTRq1atQxJRmxsrLF7924jLi7OkGRER0cbSUlJxarnxhtvNCQZ8fHxxSrvyrhx45z/Vkv7VadOnVK3f9aDDz7orG/27NnGE0884fzvmTNnXnD9Rfnuu++cbXmSu8bdm5577jnnz6Z58+ZGSkqK2+r25N86AIBr5Ivymy8Mw/fG7yzWMACYAfmlbDBXw1wNczUF+dpcjSeuUT066uvXr3d2eOjQoS7L5OXlGY0aNXKGhJycnBK3061bN0OS4efnV+gP5oMPPnD2ZfLkyQWOHz582PDz8zMkGV26dCm0rS5dujjbOnz4cIn7WhRfCyGnTx41fnrncePUuOpFBpANz15vfPv1IiPHnlfWXQYAAICb+dI1Kvmi5Hxp/AyHw9ixdrHx34nXn3eBY+nMUcafB93/8wAAAEDZ86VrVDJGyfjaZg17bo6RduzAeTdppB3cbqScPmnkOcyzSeNcAwcOdC5oz5kzxzmG3377bZHnPfvss4Ykw2q1FmuBtG/fvs66Fy9ebBiGYaxbt87w9/c3JBkdO3Y0HMUYgypVqhiSjMGDBxfvDfqopUuXOn8evXv3NgzDMHJycowmTZoYkoyQkBBjx44dHmvfWx8AcNe4e8u0adOc/W3cuLFx/Phxt9bPh50AwPvIF+U3XxiGb40faxgAzIb8UnaYqykbzNUwV1NcnrhGtcqDPvvsM+frQYMGuSxjtVp19913SzrzuJyVK1eWqI20tDStWLFCktSpUyfVrOn6kXK9evVSRESEJGnhwoUFji9atEh5eXlF9lWSBg4cKEnKy8vTokWLStTX8uLk0YP66T8Pyzqtsa7Z94Yileay3M8BTbWu/Qdq8q+Vat+ppwL8PPrPCQAAACZHviifDIdDW777SDtevFYNl/XTpVm/uSx3wgjX8hrDlP3gb7rxgcmqU72wh4oDAAAA7kHGKJ/suTlKO7ZfOrpNoTnH5C+Hy3LplhClhddXSLWGCo+IktVi8XJPfcOQIUMkSfv27dPo0aMlSfXq1VO7du2KPK9NmzaSJIfDoZ9//rnIsu+9957mz58vSXrggQfUvXt3SVKLFi301FNPSZKWL1+uadOmFVnPnj17lJycnK/98ig5Odn5e1qjRg298cYbkqSAgADNmzdPwcHBysjIUEJCgnJzc8uyqxfEXePuLYmJiRo5cqQkKT4+Xt98842io6PLuFcAgIqEfFE+sYYBAPA25mq8j7ka5mrKmkc/Xb969WpJUmhoqJo2bVpoubZt2zpfr1mzpkRtrF+/XtnZ2QXq+SebzaaWLVs6z/nnL9TZvp6vngvpq687enCvfpp5r4Jeu0ot/npXYcp0We7nwBba2PkTNR27Qi3bdpPVas4FDgAAAHgX+aJ8ceTl6ddlc7TnhWZqvGqILsnd5rLccSNSK+s8IuORzep470RVjYnxck8BAABgVmSM8iU3J1tpR/+U9eg2heUel1+hmzRClR7RQCFV4xUWHimLSTdpnNW6dWs1atRIknT48GFJZz6Qd76fy7XXXqtKlSpJkvMDga7s27dPw4cPlyQ1bNhQkydPznf8qaeecv7bHjNmjLZu3VpoXWfb8fPzU5cuXYrsny8bMmSIDh8+LIvFonfffdf5c5SkSy65RK+88ookaePGjRo/fnwZ9fLCuHPcveGzzz7TvffeK8MwFBERoenTp+vYsWPaunVroV/p6ell2mcAQPlDvihfWMMAAJQV5mq8j7ka5mrKmkc3a2zfvl2SFBcXJ39//0LLXXLJJQXOKWkb/6ynqHbsdrt27drlsp7IyEhVrVq10DqqVavm3H1e0r4mJSUV+XXo0KES1ecuB/f+rp9m3K2o/zRTi6MLFGzJcVluY/C12tJ9kZqN+VpNr+1o+gUOAAAAeBf5oiBfzBh5drs2fPG69r9wpa7+8SE1yNvtstwxVdLqBqMU8NgWtRv0rCpX0DskAAAAwHeRMfLzxXwhSTnZWUo7sld+x7YrzH5SVovhsly6JVSZkXEKrRav0LAI1jDOMXjwYOdrq9XqvENyUWw2m/r06SNJ+uCDD1yWcTgc6t+/v1JSUpx3IgwJCclXxs/PT++9957CwsKUnZ2thIQE5wcM/+n999+XJHXs2LHIf+e+7M0339Tnn38uSRoxYoQ6dOhQoMzw4cPVtWtXSdKkSZPK3Qcf3T3u3vDZZ5857x6ekpKirl27qnHjxkV+bdiwocz6CwAon8gXBflixmANAwDgC5ir8R7mas5grqZseWyzRlZWlvPxN4U9du+sSpUqKTQ0VJJ04MCBErVzbvnztVOrVi2X55373+er49x6StrXWrVqFfl1zTXXlKg+d/lr0zdqceJz2Sz2AsfyDIs2hLXXzl5fq+kTS9W4eeE76gEAAABPIV8Ufq7vZQxD1X+ZqroO1+/nkKpo7SVjFTb6v2rT/xlFhEd6uX8AAAAAGaOw83wvX0i5GSkKyzvlcpOGYUjp1nBlRV2s0GrxCg4NL4Me+r7+/fs7X3fq1Cnfv7WinL0b3549e/Tjjz8WOD5p0iTnXZnHjx9f6B2kGzRooOnTp0uSNm/erLFjxxYoc/DgQX3//feSpGHDhhWrf75m165dGjlypCSpcePGmjhxYqFlExMTFRMTk28xvbxw57gDAFBRkC8KP9f3MgZrGACAssdcjXcwV5MfczVlp/Ct3BcoNTXV+TosLOy85UNDQ5Wenq60tDSPtXM27Egq0M7ZeorbV1d1lFdXdbtXf22arurGUef3cg0//VKpsy7qOkbNG15Zhr0DAAAAyBfliZ9/gA5e/oBqbBmX7/sHLNX1V+MHdFX3+1QtMKiMegcAAACcQcYoP4Ijqygn84hs+vuGUw5DyvCPUEBkNYUGhRRxNiRpy5Ytztf33HNPsc9r3LixunTpomXLluntt99Wq1at8h0fO3ZssRd177nnniLbTkxMlMPhUMOGDdWjR49i99GXXHzxxcX+vbvooot09OjR8xcspXbt2skwXD+F5kK5c9y9Zfbs2Zo9e3ZZdwMAUIGRL8oP1jAAAL6AuRrvYK6mIOZqyobHNmtkZWU5X9tstvOWDwwMlCRlZmZ6rJ2zbbhq52w9nuzr+XaZHzp0qEx2jQfYAnWg0VBV3/accgx//Vqlh2r1HKsWdRt6vS8AAACAK+QL13w1Y1zV434d3vJ/qqpk7bXW0fEmD+mqLgNVKyDA630BAAAAXCFjFOSr+cJqtSonKEa2rENyGBZl+EfKFlVNYXyAqtjeeecdSVLlypV18803l+jcCRMmaNmyZZozZ46efvpp1alTx+39S0tL07Rp0yRJ48aNk9VqdXsbAAAAnkS+cM1XMwZrGACAssZcDWAuHtusERT09yR5Tk7OectnZ2dLkoKDgz3Wztk2XLUTFBSkjIwMj/a1OI8PLCtX9hymdSkHFdftEbWoXresuwMAAADkQ75wzVczhi0wSH+1fFqH/QJ0xQ19Vc/Pr6y7BAAAAORDxijIV/OFJIVExSjteK4CI2MVZgs8/wlw+vPPP/XRRx9JkgYNGpTvQ3vF0aJFC/Xp00cLFizQxIkT9frrr7u9j6+99pqOHz+u5s2bq2/fvm6vHwAAwNPIF675asZgDQMAUJaYqwHMx2ObNcLDw52vi/MYmfT0dEnFe8Reads524ardsLDw5WRkeHRvvqyoOAQtRwytay7AQAAALhEvih/mtw4sKy7AAAAABSKjFG+WK1+CoupVdbdKDcOHjyojIwM7d27V08++aRyc3MVFBSkESNGlKq+KVOmqFGjRgoMDJTD4XD73RTDw8M1btw49erVSxaLxa11AwAAeAP5ovxhDQMA4E3M1QDm5tEna1SpUkXJyclKSkoqsuzJkyedF/e1apVssv3cXdhJSUlq1qxZoWXPfbzeP9upWbOmjhw5ct6+nltPSfsKAAAAoHTIFwAAAADciYyBiiwhIUGrVq3K971nn31WNWrUKFV9NWvW1Pjx493QM9eGDRvmsboBAAC8gXwBAACKwlwNYG7u3U71D40aNZIk/fHHH7Lb7YWW27FjR4FziuvSSy91WU9R7fj7+ysuLs5lPadPn9bhw4cLrePQoUNKSUkpVV8BAAAAlB75AgAAAIA7kTFQ0YWEhOiqq67S7Nmz9fjjj5d1dwAAACo08gUAADgf5moAc/LoZo3rrrtO0plH4m3cuLHQcufuGGvdunWJ2mjevLlsNluBev4pJydH69atK3DOP/t6vnoupK8AAAAASo98AQAAAMCdyBioqFauXCnDMJSenq5ff/1VAwYMKOsuAQAAVHjkCwAAUBjmagBz8+hmjVtuucX5OjEx0WUZh8OhOXPmSJKioqLUvn37ErURHh6uDh06SJKWL19e6CP6Fi5c6NztfeuttxY4ftNNN8lqtRbZV0maPXu2JMlqteqmm24qUV8BAAAAlB75AgAAAIA7kTEAAAAAuAv5AgAAAIArHt2scc0116hNmzaSpLfffls//vhjgTJTpkzR9u3bJUmPPPKIAgIC8h2fPXu2LBaLLBaLxo8f77Kdxx57TJJkt9s1fPhw5eXl5TuenJysJ554QtKZsDNkyJACdVStWlUJCQmSpGXLlunjjz8uUOajjz7SsmXLJEn9+/dX1apVC33vAAAAANyLfAEAAADAncgYAAAAANyFfAEAAADAFY9u1pCk6dOnKzg4WHa7XZ07d9bEiRO1bt06fffddxo6dKhGjx4tSYqPj9eoUaNK1cYNN9ygvn37SpIWLVqkTp06adGiRfr555+VmJioli1bav/+/ZKkSZMmqVKlSi7reeGFFxQTEyNJuvPOO/Xkk09qzZo1WrNmjZ588kn169dPkhQTE6Pnn3++VH0FAAAAUHrkCwAAAADuRMYAAAAA4C7kCwAAAAD/5O/pBq6++mp9+OGHuuuuu5SSkqKxY8cWKBMfH68lS5YoPDy81O288847SklJ0ZdffqnvvvtO3333Xb7jVqtVTz/9tIYOHVpoHbVq1dIXX3yhW265RYcPH9ZLL72kl156KV+ZqlWr6rPPPlPNmjVL3VcAAAAApUO+AAAAAOBOZAwAAAAA7kK+AAAAAPBPHn+yhiT17NlTmzdv1siRIxUfH6+QkBBFRUWpWbNmeumll/Trr78qLi7ugtoIDg7WkiVLNG/ePHXq1EmxsbGy2WyqVauW+vXrpzVr1hT6iMBztWjRQlu2bNFTTz2lyy+/XGFhYQoLC1Pjxo311FNPaevWrWrRosUF9RUAAABA6ZEvAAAAALgTGcPz/Pz8JEl5eXkyDKOMewMA7mcYhvLy8iSd+YAsAMC8yBcAgPLgbG5hrgZARXXuXM3Z+emyYjH4S+szkpKSVKtWLUnSgQMH2JkOAACAMsc1avnG+AEAAMDXcI1afl3I2CUlJSk1NVWSVLt2bYWGhnqkjwBQVrKysrR3715JUlhYmPPvJQDAs8gX5RvjBwBl58CBA0pLS5Mk1atXT0FBQWXcIwBwr/T0dO3fv1+SFB4eXuxrTU9co3JbDwAAAAAAAAAAAHhMRESE8/WJEye4YyOACiclJcX5mg1pAAAAAHzdubnl3DwDABWBYRg6ceKE87/PnZ8uC2zWAAAAAAAAAAAAgMeEhYXJYrFIktLS0pSUlKT09HQ2bQAo9/Ly8nT8+HEdP37c+b2wsLAy7BEAAAAAnN+5ueVspsnLyyvDHgHAhTMMQ+np6UpKSnI+PchisZT5XI1/mbYOAAAAAAAAAACACs1qtapGjRo6ePCgDMNQWlqa0tLSZLFY5OfnV9bdA4BSMQyjwIeZYmJiZLPZyqhHAAAAAFA8NptNMTExOnbsmCTp6NGjOnr0qPz8/Jw33ACA8iYvLy/fDYIsFotq1Kghq7Vsn23BZg0AAAAAAAAAAAB4VHh4eL4NG9KZDzrb7fYy7hkAuEdkZKQqV65c1t0AAAAAgGKpXLmycnJydPr0aef3eLoGgIri7EaN8PDwsu4KmzUAAAAAAAAAAADgeeHh4YqPj1daWppSUlKUk5PDhwAAlGt+fn4KCQlRVFSUgoKCyro7AAAAAFBsFotF1atXV3R0tE6dOqWMjAzmaQCUa35+frLZbIqIiFBYWFiZP1HjLDZrAAAAAAAAAAAAwCusVqsiIiIUERFR1l0BAAAAAAAwvaCgIFWtWrWsuwEAFZZvbBkBAAAAAAAAAAAAAAAAAAAAAACoINisAQAAAAAAAAAAAAAAAAAAAAAA4EZs1gAAAAAAAAAAAAAAAAAAAAAAAHAjNmsAAAAAAAAAAAAAAAAAAAAAAAC4EZs1AAAAAAAAAAAAAAAAAAAAAAAA3IjNGgAAAAAAAAAAAAAAAAAAAAAAAG7EZg0AAAAAAAAAAAAAAAAAAAAAAAA3YrMGAAAAAAAAAAAAAAAAAAAAAACAG7FZAwAAAAAAAAAAAAAAAAAAAAAAwI38y7oD+Jvdbne+PnToUBn2BAAAADjj3OvSc69XUT6QMQAAAOBryBjlF/kCAAAAvoZ8Ub6RMQAAAOBrPJEx2KzhQ44dO+Z8fc0115RhTwAAAICCjh07prp165Z1N1ACZAwAAAD4MjJG+UK+AAAAgC8jX5Q/ZAwAAAD4MndlDOuFdwUAAAAAAAAAAAAAAAAAAAAAAABnWQzDMMq6EzgjKytLW7ZskSTFxMTI3997Dz45dOiQc5f6+vXrVa1aNa+1De9jvM2F8TYXxts8GGtzKcvxttvtzjsbNW7cWEFBQV5rGxeOjAFvYKzNhfE2F8bbXBhvcyFjoDTIF/AWxttcGG9zYbzNg7E2F/IFSouMAW9grM2F8TYXxttcGG9zqWgZw3tXuTivoKAgNW/evKy7oWrVqqlmzZpl3Q14CeNtLoy3uTDe5sFYm0tZjDePDS+/yBjwNsbaXBhvc2G8zYXxNhcyBoqLfIGywHibC+NtLoy3eTDW5kK+QEmQMeBtjLW5MN7mwnibC+NtLhUhY1jdWhsAAAAAAAAAAAAAAAAAAAAAAIDJsVkDAAAAAAAAAAAAAAAAAAAAAADAjdisAQAAAAAAAAAAAAAAAAAAAAAA4EZs1gAAAAAAAAAAAAAAAAAAAAAAAHAjNmsAAAAAAAAAAAAAAAAAAAAAAAC4EZs1AAAAAAAAAAAAAAAAAAAAAAAA3IjNGgAAAAAAAAAAAAAAAAAAAAAAAG5kMQzDKOtOAAAAAAAAAAAAAAAAAAAAAAAAVBQ8WQMAAAAAAAAAAAAAAAAAAAAAAMCN2KwBAAAAAAAAAAAAAAAAAAAAAADgRmzWAAAAAAAAAAAAAAAAAAAAAAAAcCM2awAAAAAAAAAAAAAAAAAAAAAAALgRmzUAAAAAAAAAAAAAAAAAAAAAAADciM0aAAAAAAAAAAAAAAAAAAAAAAAAbsRmDQAAAAAAAAAAAAAAAAAAAAAAADdiswYAAAAAAAAAAAAAAAAAAAAAAIAbsVkDAAAAAAAAAAAAAAAAAAAAAADAjdisAQAAAAAAAAAAAAAAAAAAAAAA4EZs1qhg9u/fr8cee0yNGjVSaGiooqOjdc0112jy5MnKyMhwWzvz589Xly5dVK1aNQUFBalu3brq37+/1q1b57Y2cH6eHO+UlBTNnz9f9957r5o0aaKoqCjZbDbFxMSoXbt2mjx5sk6dOuWeN4Ji8dbv97kOHTqkqKgoWSwWWSwWtWvXziPtID9vjvXy5cs1cOBAxcXFKTQ0VJGRkYqPj9ftt9+uWbNmKS0tza3toSBvjPe2bdv00EMPqXHjxoqIiHD+PW/fvr2mTp2q1NRUt7QD144eParFixfrmWeeUdeuXVWlShXn39WBAwd6pE2u1eAu5AtzIV+YC/nCXMgY5kLGqPjIGCjPyBjmQsYwFzKGeZAvzIV8UfGRL1CekS/MhXxhLuQLcyFjmAsZo+IjY7hgoMJYvHixERkZaUhy+dWwYUNj9+7dF9RGZmam0aNHj0LbsFqtxrPPPuumd4SieHK8v/zySyMwMLDQus9+XXTRRca3337r5ncGV7zx++3Kbbfdlq+dtm3bur0N5OetsT5x4oRx8803n/f3/Ndff73wN4VCeWO8J0+ebPj7+xc5znXq1DE2bdrkpneFfyrqZz9gwAC3tsW1GtyJfGEu5AtzIV+YCxnDXMgY5kDGQHlFxjAXMoa5kDHMg3xhLuQLcyBfoLwiX5gL+cJcyBfmQsYwFzKGOZAxCmKzRgXx22+/GSEhIYYkIywszHjhhReMtWvXGitWrDDuvfde5z+8Sy65xEhNTS11O/369XPW1b59e+Ozzz4z1q9fb7z99ttGgwYNnMfefPNNN747/JOnx3vu3LnOP1RdunQxpk6danz77bfGL7/8YixatMi44447nG2EhIRwkeJh3vr9/qdFixYZkozY2FiCiJd4a6xPnTplNG3a1Flf9+7djblz5xo//vijsWbNGmPevHnGiBEjjJo1a/L77UHeGO8PP/zQWY/NZjNGjhxpLFmyxPjpp5+M999/37juuuucx6tVq2acOnXKze8ShpE/hNSqVcvo3Lmzx0II12pwF/KFuZAvzIV8YS5kDHMhY5gHGQPlERnDXMgY5kLGMA/yhbmQL8yDfIHyiHxhLuQLcyFfmAsZw1zIGOZBxiiIzRoVRLt27QxJhr+/v7F27doCx19++WXnP7oJEyaUqo2VK1c66+jZs6dht9vzHT927JhRu3ZtQ5JRqVIl4+TJk6VqB+fn6fGeP3++MXToUGPfvn2FlpkxY4azjRtuuKHEbaD4vPH7/U+pqalGrVq1DEnGnDlzCCJe4q2x7t+/v7Od+fPnF1rO4XAYubm5pW4HRfPGeF9++eXOOhYvXuyyTK9evZxlpkyZUqp2ULRnnnnG+OKLL4zDhw8bhmEYe/fu9UgI4VoN7kS+MBfyhbmQL8yFjGEuZAzzIGOgPCJjmAsZw1zIGOZBvjAX8oV5kC9QHpEvzIV8YS7kC3MhY5gLGcM8yBgFsVmjAli/fr3zH9zQoUNdlsnLyzMaNWrk/EeXk5NT4na6detmSDL8/PyMAwcOuCzzwQcfOPsyefLkEreB8/PWeBdHs2bNDOnM7vLk5GSPtGF2ZTXeDz30kCGd2W1oGAZBxAu8NdarV692tjN+/PgL7TZKyRvjffr0aWcbTZo0KbTcpk2bnOVuu+22ErWB0vFUCOFaDe5CvjAX8oW5kC/MhYxhLmQMcyNjwNeRMcyFjGEuZAzzIF+YC/nC3MgX8HXkC3MhX5gL+cJcyBjmQsYwNzKGYViFcu+zzz5zvh40aJDLMlarVXfffbck6eTJk1q5cmWJ2khLS9OKFSskSZ06dVLNmjVdluvVq5ciIiIkSQsXLixRGygeb4x3cbVr106S5HA4tHfvXo+0YXZlMd7r16/Xa6+9JpvNplmzZl1QXSg+b431q6++KkkKCwvTqFGjSnw+3MMb452Tk+N8Xb9+/ULLNWjQwPk6Ozu7RG3Ad3CtBnciX5gL+cJcyBfmQsYwFzIG3I3rNbgTGcNcyBjmQsYwD/KFuZAv4G5cq8GdyBfmQr4wF/KFuZAxzIWMAXcrb9drbNaoAFavXi1JCg0NVdOmTQst17ZtW+frNWvWlKiN9evXO/8wnVvPP9lsNrVs2dJ5Tm5ubonawfl5Y7yL69z/s7Ja+XPiCd4eb7vdrvvuu08Oh0NPPPGEGjZsWOq6UDLeGOucnBx9/vnnkqSuXbsqLCxM0plx37dvn/bv35/vwhWe443xrlKliqKjoyVJe/bsKbTc7t27na/j4+NL1AZ8B9dqcCfyhbmQL8yFfGEuZAxzIWPA3bhegzuRMcyFjGEuZAzzIF+YC/kC7sa1GtyJfGEu5AtzIV+YCxnDXMgYcLfydr3GlUMFsH37dklSXFyc/P39Cy13ySWXFDinpG38s56i2rHb7dq1a1eJ2sH5eWO8i2vVqlWSJH9/f8XFxXmkDbPz9nhPnjxZmzZtUoMGDTR27NhS14OS88ZYb9q0SVlZWZKkVq1a6fDhwxo0aJCioqJUt25d1alTR5GRkerWrZvWrl1bineB4vLW7/Z9990nSfrll1+0dOlSl2Wee+45SZKfn5+GDBlS4jbgG7hWgzuRL8yFfGEu5AtzIWOYCxkD7sb1GtyJjGEuZAxzIWOYB/nCXMgXcDeu1eBO5AtzIV+YC/nCXMgY5kLGgLuVt+s1NmuUc1lZWUpOTpakQh/jclalSpUUGhoqSTpw4ECJ2jm3/PnaqVWrlsvzcOG8Nd7FsWTJEm3evFmS1KVLF+ejguA+3h7vPXv26Nlnn5UkzZw5U0FBQaWqByXnrbHetm1bvjYbN26s2bNnKz09Pd/3ly5dqjZt2mjatGklqh/F483f7X/961/q2LGjJOnWW2/VY489pqVLl2rDhg368MMP1a5dO3388cfy8/PTjBkz1KhRoxK3Ad/AtRrchXxhLuQLcyFfmAsZw1zIGPAErtfgLmQMcyFjmAsZwzzIF+ZCvoAncK0GdyFfmAv5wlzIF+ZCxjAXMgY8obxdr7FZo5xLTU11vj77mKainP1DlpaW5rF2zrZRmnZQNG+N9/mcOHFCw4cPl3Rmh+HZ3YZwL2+P99ChQ5WZmak77rhDnTt3LlUdKB1vjfWJEyecrydMmKDk5GT16NFDP//8s7KysnTkyBHNnDlTERERcjgcevTRRwvdZYzS8+bvdlhYmJYuXao333xTNWvW1JQpU9StWzddc8016tu3r1atWqVevXrphx9+0LBhw0pcP3wH12pwF/KFuZAvzIV8YS5kDHMhY8ATuF6Du5AxzIWMYS5kDPMgX5gL+QKewLUa3IV8YS7kC3MhX5gLGcNcyBjwhPJ2vcZmjXLu7GOaJMlms523fGBgoCQpMzPTY+2cbaM07aBo3hrvouTl5SkhIUH79u2TJD311FO6+uqr3VY//ubN8Z4zZ46WL1+uiIgITZ06tcTn48J4a6zP3RmenZ2tnj176vPPP1fTpk0VGBio2NhYPfDAA1qyZImsVqsMw9Do0aNlGEaJ2kHRvP23/Oeff9YHH3ygPXv2uDy+fPlyvfvuu0pJSSlV/fANXKvBXcgX5kK+MBfyhbmQMcyFjAFP4HoN7kLGMBcyhrmQMcyDfGEu5At4AtdqcBfyhbmQL8yFfGEuZAxzIWPAE8rb9RqbNcq5cx/BlZOTc97y2dnZkqTg4GCPtXO2jdK0g6J5a7yLMmzYMH311VeSpO7du+vpp592W93Iz1vjnZycrFGjRkmSXnjhBVWrVq1E5+PClcXfckl65ZVXZLUWvBS47rrr1KtXL0nS1q1btXXr1hK1g6J582/5xx9/rHbt2unbb79V48aN9emnn+r48ePKycnR7t279eKLLyo3N1ezZs3Stddeq8OHD5e4DfgGrtXgLuQLcyFfmAv5wlzIGOZCxoAncL0GdyFjmAsZw1zIGOZBvjAX8gU8gWs1uAv5wlzIF+ZCvjAXMoa5kDHgCeXteo3NGuVceHi483VxHs9ydrdgcR4nVNp2zt2RWNJ2UDRvjXdhxowZo//85z+SzlykfPTRR/Lz83NL3SjIW+P96KOPKjk5Wc2aNePxXmWkLP6W16tXTw0bNiy0bJcuXZyvN2zYUKJ2UDRvjfeRI0c0cOBAZWdn67LLLtPatWt1yy23KDo6WgEBAapfv77GjBmjL774QhaLRf/973/10EMPlezNwGdwrQZ3IV+YC/nCXMgX5kLGMBcyBjyB6zW4CxnDXMgY5kLGMA/yhbmQL+AJXKvBXcgX5kK+MBfyhbmQMcyFjAFPKG/Xa/5l0ircJigoSFWqVFFycrKSkpKKLHvy5EnnP7patWqVqJ2aNWs6XyclJalZs2aFlj1w4IDzdUnbQdG8Nd6uvPTSS5o0aZIkqUmTJlq8eDF3BfAwb4z3X3/9pblz50qSbrjhBi1YsKDI8kePHtX8+fMlnbmIbdGiRbHbQuG89bt9bvlz/66fr+zRo0dL1A6K5q3xnj9/vvPcsWPHKjQ01GW5Dh06qEOHDlq+fLkWLlyokydPqlKlSiVqC2WPazW4C/nCXMgX5kK+MBcyhrmQMeAJXK/BXcgY5kLGMBcyhnmQL8yFfAFP4FoN7kK+MBfyhbmQL8yFjGEuZAx4Qnm7XmOzRgXQqFEjrV69Wn/88Yfsdrv8/V0P644dO/KdUxKXXnqpy3qKasff319xcXElagfn543x/qeZM2fqySefdNa1bNkyRUZGXlCdKB5Pj/e5j4B6+eWXz1t++/btuvPOOyVJAwYMIIi4kTd+ty+77DLn67y8vCLLnnu8sL6g9Lwx3tu3b3e+btKkSZFlmzZtquXLl8vhcGjnzp38bpdDXKvBncgX5kK+MBfyhbmQMcyFjAF343oN7kTGMBcyhrmQMcyDfGEu5Au4G9dqcCfyhbmQL8yFfGEuZAxzIWPA3crb9Zq1TFqFW1133XWSzjyqZePGjYWWW7VqlfN169atS9RG8+bNZbPZCtTzTzk5OVq3bl2Bc+A+3hjvc82dO1cPPvigJKl+/fpavny5qlSpUur6UDLeHm+UHW+MdZ06dVS7dm1J0u7du4sse+7xGjVqlKgdnJ83xvvcYGO324ssm5ub6/I8lB9cq8GdyBfmQr4wF/KFuZAxzIWMAXfjeg3uRMYwFzKGuZAxzIN8YS7kC7gb12pwJ/KFuZAvzIV8YS5kDHMhY8Ddytv1Gps1KoBbbrnF+ToxMdFlGYfDoTlz5kiSoqKi1L59+xK1ER4erg4dOkiSli9fXujjiBYuXKiUlBRJ0q233lqiNlA83hjvsxYuXKhBgwbJMAzVrFlTK1asUPXq1UtVF0rH0+Ndt25dGYZx3q+z2rZt6/ze7NmzS/We4Jq3frdvu+02SdKRI0e0du3aQsstXLjQ+bpNmzYlbgdF88Z416tXz/l69erVRZb9/vvvJUkWi0V169YtUTvwDVyrwZ3IF+ZCvjAX8oW5kDHMhYwBd+N6De5ExjAXMoa5kDHMg3xhLuQLuBvXanAn8oW5kC/MhXxhLmQMcyFjwN3K3fWagQqhTZs2hiTD39/fWLt2bYHjL7/8siHJkGSMGzeuwPHExMQijxuGYaxYscJZ5qabbjLsdnu+48eOHTNq165tSDKioqKMEydOuOOtwQVvjPeyZcsMm81mSDJiY2ONHTt2uPldoLi8Md7nc/b8tm3blup8FI83xnrfvn1GUFCQIclo2rSpkZaWVqDM3LlznfV07979Qt8WCuHp8d6+fbthsVgMSUaNGjWMpKQkl/144403nPW0atXqQt8WimHv3r3On/mAAQOKdQ7XavA28oW5kC/MhXxhLmQMcyFjmBcZA+UBGcNcyBjmQsYwD/KFuZAvzIt8gfKAfGEu5AtzIV+YCxnDXMgY5kXGMAye31JBTJ8+Xa1bt1ZmZqY6d+6ssWPHqn379srMzNT8+fP1n//8R5IUHx+vUaNGlaqNG264QX379tX8+fO1aNEiderUSSNGjFD16tW1ZcsWvfDCC9q/f78kadKkSapUqZLb3h/y8/R4r1u3TrfeeqtycnIUEBCgqVOnKjc3V1u3bi30nJo1ayoqKqq0bwlF8MbvN3yDN8a6du3aevbZZzV69Ght3LhR11xzjUaPHq3LL79cp0+f1sKFC/X6669LkiIiIjR16lS3vT/k5+nxvuSSSzRo0CC98847OnjwoK6++mqNGDFCbdq0UXh4uA4cOKD58+fr/ffflyT5+fnpxRdfdOt7xBlr1qzRH3/84fzv5ORk5+s//vijwF04Bg4cWKp2uFaDO5EvzIV8YS7kC3MhY5gLGcM8yBgoj8gY5kLGMBcyhnmQL8yFfGEe5AuUR+QLcyFfmAv5wlzIGOZCxjAPMoYLZbZNBG63aNEiIyIiwrlT6J9f8fHxxq5du1yeW9xdpRkZGUa3bt0KbcNqtZZ6VypKxpPjPW7cuELrLewrMTHRs2/Y5Lzx+12Us+eza9zzvDXWTz75pHM3sauv2NhYl7uY4V6eHu+srCzjjjvuOO/f8NDQUGPevHkefKfmNmDAgBL9f6orXKuhLJAvzIV8YS7kC3MhY5gLGcMcyBgor8gY5kLGMBcyhnmQL8yFfGEO5AuUV+QLcyFfmAv5wlzIGOZCxjAHMkZBVqHC6NmzpzZv3qyRI0cqPj5eISEhioqKUrNmzfTSSy/p119/VVxc3AW1ERwcrCVLlmjevHnq1KmTYmNjZbPZVKtWLfXr109r1qzR+PHj3fOGUCRvjDd8B+NtHt4a64kTJ+qHH35Q//79VbduXQUGBioyMlLNmzfXc889p507d6pVq1ZueEcoiqfHOzAwUPPnz9e3336ru+++W/Hx8QoNDZW/v7+io6PVqlUrPf3009qxY4f69evnxneGssK1GtyJfGEuXG+aC+NtLmQMcyFjwN24XoM7kTHMhWtOc2G8zYN8YS7kC7gb12pwJ/KFuXC9aS6Mt7mQMcyFjAF3Ky/XaxbDMIyy7gQAAAAAAAAAAAAAAAAAAAAAAEBFwZM1AAAAAAAAAAAAAAAAAAAAAAAA3IjNGgAAAAAAAAAAAAAAAAAAAAAAAG7EZg0AAAAAAAAAAAAAAAAAAAAAAAA3YrMGAAAAAAAAAAAAAAAAAAAAAACAG7FZAwAAAAAAAAAAAAAAAAAAAAAAwI3YrAEAAAAAAAAAAAAAAAAAAAAAAOBGbNYAAAAAAAAAAAAAAAAAAAAAAABwIzZrAAAAAAAAAAAAAAAAAAAAAAAAuBGbNQAAAAAAAAAAAAAAAAAAAAAAANyIzRoAAAAAAAAAAAAAAAAAAAAAAABuxGYNAAAAAAAAAAAAAAAAAAAAAAAAN2KzBgAAAAAAAAAAAAAAAAAAAAAAgBuxWQMAAAAAAAAAAAAAAAAAAAAAAMCN2KwBAAAAAAAAAAAAAAAAAAAAAADgRmzWAAAAAAAAAAAAAAAAAAAAAAAAcCM2awAAAAAAAAAAAAAAAAAAAAAAALgRmzUAAAAAAAAAAAAAAAAAAAAAAADciM0aAAAAAAAAAAAAAAAAAAAAAAAAbsRmDQAAAAAAAAAAAAAAAAAAAAAAADdiswYAAAAAAAAAAAAAAAAAAAAAAIAbsVkDAAAAAAAAAAAAAAAAAAAAAADAjdisAQAAAAAAAAAAAAAAAAAAAAAA4EZs1gAAAAAAAAAAAAAAAAAAAAAAAHAjNmsAAAAAAAAAAAAAAAAAAAAAAAC40f8D89V5rvAzKGEAAAAASUVORK5CYII=\",\n      \"text/plain\": [\n       \"<Figure size 1600x400 with 4 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 390,\n       \"width\": 1589\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 4, figsize=(16, 4))\\n\",\n    \"\\n\",\n    \"x = np.linspace(0, 1, 100)\\n\",\n    \"\\n\",\n    \"for n in range(4):\\n\",\n    \"    axes[n].plot(x, x, label=\\\"y(x) = x\\\")\\n\",\n    \"    axes[n].plot(x, x + x**2, label=\\\"y(x) = x + x**2\\\")\\n\",\n    \"    axes[n].legend(loc=n+1)\\n\",\n    \"    axes[n].set_title(\\\"legend(loc=%d)\\\" % (n+1))\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch4-legend-loc.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 39,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAABYkAAAJVCAYAAACbEHr2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAB7CAAAewgFu0HU+AAEAAElEQVR4nOzdeXirdZk//nf2pEmbdN/XJO0BEVEHZlhkERiUUVBxARmWYRHQAZcZBf3yk6MDCCoyDCi4jMgOih7xO8yoKPsmIAwu58tpmu77mrRNmu15Pr8/kj5NTrckzdIk79d19SJtn+XT5dzn8M6d+6MSQggQERERERERERERUUlS53sBRERERERERERERJQ/DImJiIiIiIiIiIiIShhDYiIiIiIiIiIiIqISxpCYiIiIiIiIiIiIqIQxJCYiIiIiIiIiIiIqYQyJiYiIiIiIiIiIiEoYQ2IiIiIiIiIiIiKiEsaQmIiIiIiIiIiIiKiEMSQmIiIiIiIiIiIiKmEMiYmIiIiIiIiIiIhKGENiIiIiIiIiIiIiohLGkJiIiIiIiIiIiIiohDEkJiIiIiIiIiIiIiphDImJiIiIiIiIiIiIShhDYiIiIiIiIiIiIqISxpCYiIiIiIiIiIiIqIQxJCYiIiIiIiIiIiIqYQyJiYiIiIiIiIiIiEqYNt8LoDVCCASDQSwvL8Pn8yESiUCW5Xwvi4iIiIiIiIiIiDJErVZDq9XCbDbDYrHAYDBApVLldU0qIYTI6woIABAOhzE6OopAIJDvpRAREREREREREVGOGI1GtLS0QKfT5W0NDIl3gUAggJGREUQikYSPq9VqqNWcCEJERERERERERFQsZFleNz1Aq9WitbUVRqMxL2tiSJxnQgi43W6Ew2EAgE6nQ1VVFSwWC/R6fZ5XR0RERERERERERJkWCoWwvLyM+fn5hFzQbrfnZfQE21TzzO/3K78IBoMBHR0dqKqqYkBMRERERERERERUpPR6PaqqqtDR0QGDwQAgOo7W7/fnZT0MifPM4/Eoj2tqaqDVci9BIiIiIiIiIiKiUqDValFTU6O8H58V5hJD4jwLBoMAAJVKhfLy8jyvhoiIiIiIiIiIiHLJYrEoIyZWs8JcY0icZ5IkAQA0Gk1e5o0QERERERERERFR/qjVaqjV0Zh2NSvM+RryclciIiIiIiIiIiIiAoC8N48yJCYiIiIiIiIiIiIqYQyJiYiIiIiIiIiIiEoYQ2IiIiIiIiIiIiKiEsaQmIiIiIiIiIiIiKiEMSQmIiIiIiIiIiIiKmEMiYl2IUmScMQRR0ClUuHd7343hBBZv+c111wDlUoFo9GI/v7+rN+PiCgTWC+JiJLDeklElBzWSypVDImJdqG77roLb775JgDg5ptvhkqlyvo9r7nmGlRVVSEYDOLzn/981u+323i9Xjz55JP45je/iY997GPo6OiASqVS3n7yk5/s6PonnngiVCoVBgcHM7JeIopivcyt3t5ePPjgg/j85z+P9773vXjb296Guro66HQ62Gw27NmzB5/85Cfx05/+FKFQKK17sF4SZQfrZW6t1rJU3kZHR9O6B+slUWaxXubOhRdemHKtjH9LFutlchgSE+0yS0tL2Lt3LwDgmGOOwSmnnJKT+9psNlx11VUAgF/96ld47rnncnLf3eCcc85BZWUlTj75ZFx99dV49NFHMTQ0lO9lEdE2WC9za3Z2Fj09PTj33HPx7//+73jqqaewf/9+zMzMIBKJwOv14sCBA3jooYfwiU98AoceeiieeeaZfC+biMB6SUSULNbLwlFfX5/vJRQdbb4XQESJbrvtNszOzgIArr766pze+8orr8S3vvUt+Hw+XHvttSXzP/cTExMZewmR3++HyWRK6VlNn88Hs9mckfsTlRLWy/xRq9Xo7u6G0+lETU0N9Ho95ubm8PrrrysvkXS73TjttNPw2GOP4bTTTlt3DdZLotxhvcyvD33oQ2hubt72OIvFsuHHWS+Jcof1MrdOOeWUTWvfwSKRCL7//e8r7//jP/7jumNYL3dIUF719vaK/fv3i97e3nwvhXaBlZUVUVNTIwCItrY2IUlSztdw8cUXCwACgHjppZdyfv98OOGEE4RarRaHHnqouPDCC8V3v/td8corr4jW1lble3H33Xcnda3zzjtPHHPMMeL1119fdw8AYmBgQPmY1+sVX/jCF0RdXZ2YmZnJ4FdEVPxYL3PP6/WKT3/60+K///u/hdfr3fS4J598UrS3tyvfm8bGRrG0tLTuONZLotxgvcyP1VoGQDz11FM7uhbrJVFusF7ubv/1X/+lfG8AiD/96U/rjin0epnvjJDjJoh2kfvvv1951vKiiy6CWp37P6KXXHKJ8vi2227L+f3z4Xvf+x68Xi/++te/4u6778anP/1pHHnkkSl//0OhEMbHx/Hiiy/ib/7mb/DpT38a8/PzGx573333oaenB9/5zneg0+lw4MCBTHwpRCWD9TL3Kioq8N3vfhfvf//7UVFRselxJ510En7zm99Ap9MBiL5a41e/+lXCMayXRLnDelnYWC+Jcof1cne75557lMfvfOc78fa3vz3h86yXO8eQmGgX+c///E/l8cc//vG8rOHv/u7v0NbWBgDYt28fPB5PXtaRS4ceemjSL3HZil6vx+9+9zv85je/wTvf+U7ceeed6O7uxg9+8APIsgwA+N///V8cd9xxOP/88xEMBnHzzTejr68Pxx577I7vT1RKWC93t56eHrznPe9R3n/99dcTPs96SZQ7rJeFjfWSKHdYL3cvj8eT0HRw4YUXrjuG9TID8tK/TIp8t5JT6g4//HDl5Q0PPfRQ0uedc845ynlf+cpX1n3e7XYrn+/p6dnyWj/96U+VY7VarXj55Ze3PD4QCIh3vOMdyjlnnnnmlsdfddVVyrE/+MEPtv3ailX8y6WTHTexSpZl8cgjjwin05nwkhgAwmQyiauvvlosLCxseO6nP/1p5djW1tZNj1vlcrmExWJRzrn11ltTWitRtrBelrazzz5b+d586lOf2vQ41ksi1stilMlxE6tYL4lYL0vVnXfeqXxPdDqdmJ6e3vL4Qq2X+c4IGRLnWb5/ASh1t99+u/KH/5RTTknqnIWFBWE0GgUAoVKpRF9f37pjbrvtNuW6V1xxxbbXvOiii5Tj7Xa7WFxc3PTYz33ucwmzIWdnZ7e89r59+5TjzzjjjO2/wCK1k5B41crKijjxxBOV65SXl4tXXnll23Pe9ra3Ked8/OMf3/TYcDgsjjzySOXYv//7vxeyLKe1VqJMY70sbfH/M3TDDTdsezzrJZUy1svik42QeBXrJZUy1svSdPTRRycdsscrtHqZ74yQIXGe5fsXgFLn8XiEyWRS/oKJH3y+mTvuuEMpGieeeOKGx3zgAx9QjnnggQe2veby8nLCs2IXXHDBhsf9+te/FiqVSlnvb3/7222vPTs7q1zXbDaLSCSy7TnFaKch8c9+9jPR3d294TOX11xzzZbPSL755pvCYDBse/8vf/nLyjE1NTViYmIi5XUSZQvrZen6yU9+onxfVCqV2L9//5bHs15SqWO9LD7xIfH3vvc98d3vfldcffXV4l//9V/FjTfeKH7xi19sGxRthPWSSh3rZenp7e1NqHf79u1L6rxCrJf5zghVQggByhuXy4VIJAKtVgun05nv5VCSLrzwQmVo+le/+lV87Wtf2/L4d7/73co8xvvvvx/nnnvuumPq6+sxPT0NAPjzn/+Mww47bNt1vPbaazjmmGMQDocBAI888kjC7KSZmRkcfvjhmJycBAB84QtfwC233JLEVwg0NzdjfHwcAPDmm2/i8MMPT+q8zfzhD3/Afffdt6NrHOz000/H6aefntFrxuvo6MDQ0BAA4O67795w7tFGnnzySVxzzTV49dVXUV1djRtuuAEPPPAAnnvuOezbtw/f/va38cILL6CyshJf/vKXceWVV8JoNK67zm233YbPfe5zAACLxYL//d//hd1uVz7/9NNP4+STT1bmK/3qV7/CBz/4wZ190UQZxnqZukKsl7Isw+Px4E9/+hPuvfde3HPPPUptuvrqq3HTTTdteB7rJdEa1svU7eZ6eeKJJ+KZZ57Z8hiNRoOPfexj+PrXv77t/wuyXhKtYb1M3W6ul9u59tprccMNNwAAqqurMTExoWyQvJFCrpd5zwjzEk2TIpVnCSRJFrNLAb5t8iZJuXsJ1PPPP688W9Ta2iokSdr02DfeeEM51maziZWVlXXHTExMJHRcBYPBpNfyjW98I+H6Q0NDyuf+4R/+QfncEUcckdJ1Tz75ZOXce+65J+nzNnP33XevewZvp2/XXXfdjte1lVQ7iYPBoDjttNMEAKFWq8Xll18u5ubmhBBr3SQDAwNClmVxzz33iIaGBgFAtLS0iOeff37d9WRZFu973/uUNRx11FEiHA4LIYSYn58XLS0tyueSeUlUqZFkScytzPFtgzdJ3rxmZRrrZeoKpV5efPHFW97TaDSKW265ZcNzWS93F1mShX8xyLcN3mT++5L1Mk3xncTbvZWXl4tf/OIXG16H9XJ3kSVZRJaCfNvkLVc1k/Uydbu5Xm5FlmXR1tam3PPKK6/c9NhiqJf57iTWggrGgj+Ed1//u3wvY9f647WnoNpiyMm9jj32WLztbW/DX//6V4yMjOCJJ57AaaedtuGx8TuknnvuuRs+QzUwMKA8rqurg16vT3otX/rSl/Db3/4WTz31FDweD8477zw89dRT+N73vofHH38cAGAymfDggw+mdN3m5uYN10eb0+v1qK2txTHHHIM77rgD73znOzc8TqVS4fzzz8eHPvQh7N27Fw888AB6eno2PO4nP/kJDj/8cExPT+OVV17B3r17cf311+NTn/oURkdHAQCHHHJI0s9IlxJP0IMTHjkh38vYlZ75xDOoMlbl5F6sl6Xp6KOPxn333ZfQbRGP9XJ3CfjC+PEXn8/3Mnali751HEzlydeDnWC9LC5qtRonn3wyPvzhD+Poo4+G3W6H2WzG4uIi3nzzTTzyyCO4++67EQqFsLS0hLPPPhu/+93v8J73vCfhOqyXu4vsD2Pi+j/kexm7VuO1fwuNJfs1k/WydDz99NMYHh5W3t/q1b2slzunzvcCiArVpZdeqjyO/4snXjAYxIMPPqi8f/HFF2943NTUlPK4uro6pXWo1Wrce++9qKqKBj7PPvssLr30Unzxi19UjrnllltwyCGHpHTdmpoa5fHqy2N24sILL4SIzkHP2NvevXt3vK5M+/73v4/nn39+07+Q4lVUVOA73/kO+vv7E77f8err63H33Xcr73/jG9/AFVdcgUcffRRA9C/CBx98ECaTKTNfAFEWsF6mplDq5Xvf+1585jOfwWc+8xlcdtllOOuss9DR0QEAeOmll/D2t78dX/7ylxEKhTY8n/WSaD3Wy9Ts5nr56KOP4ne/+x0+85nP4F3vehesViu0Wi2qqqpw0kkn4a677sLzzz+vfE9CoRAuueQSRCKRdddivSRaj/UyNbu5Xm5ldawIABx22GF417veteXxrJc7w5CYKE3nnXee8izkY489htnZ2XXH7Nu3D/Pz8wCAd73rXZsWKp/PpzxOp7i0tLTghz/8ofL+j3/8YwQCAQDABz/4QVxxxRUpXzN+HfHro62VlZVBpVKldI7ZbN7y86effjquvPJKANG5n3fddZfyuRtvvBFHHHFEyuskyiXWy+L0yU9+EnfccQfuuOMO3HXXXXj00UcxMDCAJ598Ej09PVhZWcFNN92EM844Y8PQg/WSaD3Wy+KxGhht5cgjj8TDDz+svN/b24tf/vKX645jvSRaj/Wy+Pl8Pvz85z9X3r/gggu2PYf1cmcYEhOlqaqqCmeddRaA6DP/999//7pjfvzjHyuPN3vW8mCpFrRVH/nIR3DJJZckfKyhoWHTZ1W3I7in5a7yzW9+c93mCaeccgq+8IUv5GlFRMljvSwtJ510El544QV0dnYCAH7zm9/gW9/6Vs7uz3pJhYz1svScfPLJCSMm/ud//idn92a9pELGeln8fvGLX2B5eRlAdKPPf/zHf8zbWkqlXnImcQGpLNPjj9eeku9l7FqVZbmZFxfvU5/6FB544AEA0b+AVne+BIChoSH8/ve/BxB9FvCTn/zkpteJf+bK7/envZ76+vqE94899ljU1tamda3VZz6B7Z9Zo+09/fTTOzpfr9ev60g588wz0/5HTCmwGWx45hNb7ypeqmwGW87vyXpZWqqrq/H1r38d5513HgDg1ltvxdVXXw21evv+BNbL3DOadbjoW8flexm7ktG8+e7p2cJ6WXpOPvlkPPfccwCA//f//l/S57Fe5p66TIfGa/8238vYtdRlua2ZrJfFLX7UxGmnnYaGhoa0r8V6mRyGxAVErVblbGM2Ss7xxx+PPXv24K233sKf//xnvPrqqzjyyCMBAHfffTdkWQYAnHXWWbDZbJteJ77YbfQymWQ899xzuOmmmxI+9vOf/xyPPPIIPvGJT6R8vZmZGeVxY2NjWmuK94c//AH33Xffjq8T7/TTT8fpp5+e0WvuVjfddBOeffbZhI99+ctfxvvf//5NN4YqdWqVOmebs9H2WC+TVyz18tRTT1Uez8zMwOVybbgpSKaxXqZOpVblbHM22h7rZfKKpV7Gfy/m5uZydl/Wy9Sp1KqcbMxGyWG9TF6h1cuRkRE89dRTyvvJjJrIppKpl4Lyqre3V+zfv1/09vbmeymUpm9/+9sCgAAgLrvsMiGEELIsi/b2duXjTz311JbXmJiYUI5VqVQiGAymtAaPx5Nwvz179iiPbTabGB4eTvnreu9736tc45577kn5/IPdfffdyvUy9XbdddfteF1bif+e3n333Vm911ZeeeUVodVqlbX09PQoj//2b/9WhMPhvK2NKBWsl8kpxHq5kWAwmLCGF154Iev3ZL2kYsF6mZxiqZff+c53lPu/853vzMk9WS+pWLBeJqfQ6uUNN9yQ8D0MBAJZu9d2clkv850RciYx0Q5dcMEFMBiiHd4PPfQQ/H4/fve732FoaAgA4HA4cMIJJ2x5jYaGBtTV1QEAhBDo7e1NaQ1XXHGFcr/DDjsMf/zjH3H88ccDADweD8477zzlWdRkvfXWW8rjYhrEXmh8Ph/OPfdcZdOnSy65BE8//bSy++of/vAHfO1rX8vnEomSxnpZWiYmJhLeT2YTp51gvaRiwnpZWt544w3lcSY6BrfDeknFhPWyOMV3PZ999tnKzzjXSq5e5iWaJkW+nyWgzDj77LMTnuWLf//GG29M6hof+MAHlHPuv//+pO997733KucZDAbx5ptvCiGEGBoaEjabTfncDTfckPQ1Z2dnlfMsFouIRCJJn1tMdkMn8UUXXaSswel0iuXlZSGEEI899pjycY1GI5577rm8rI8oVayXpeOOO+5Qvjcmk0n4/f6s3o/1kooN62VpmJubE1arVfne3HzzzVm/J+slFRvWy+Ly8ssvJ3Qsv/TSS3lbS67rZb4zQobEeZbvXwDKjN///vdKgXjXu94lDAaDUizGx8eTusZtt92mXOPyyy9P6pz+/n5RUVGhnHfrrbcmfP7hhx9WPqfT6cSrr76a1HX37dunnHfGGWckdU4xyndI/Oijjyr312q14pVXXkn4/GWXXaZ8vr29XXg8npyvkShVrJeFa3Z2NuljBwcHRV1dnfK9Oeuss7K4MtZLKk6sl4VraWkpqeMkSRJnnXVWwvdzYGAgq2tjvaRixHpZXK644grl6+/p6cnbOvJRL/OdETIkzrN8/wJQZsiyLJxOZ8KzXQDEBz/4waSv4Xa7lfO6u7u3PT4SiYhjjjlGOefUU08VsiyvO+68887b8JmvrVx11VXKOT/4wQ+S/hqKTT5D4tHRUVFVVaXc//rrr193jM/nS5h3dc455+R0jUTpYL0sXH/zN38jLrroIvHss89u+P0TQohQKCQefPBB0djYmPA/Rfv378/aulgvqVixXhauU089VVx88cXiueee27Re/vWvfxWnnHJKws/2C1/4QlbXxXpJxYr1sngEg8GEOpVsJ3im5ate5jsjZEicZ/n+BaDMufnmm9f9pfTYY4+ldI2jjz5aOXe7/6G+7rrrlGOrq6s3fYZ0cXFRdHV1KcdefPHF266jra1NABB6vV7Mz8+n9DUUoldffVW84x3vWPem0+mU71tra+u6zyfzvUyHJEnipJNOUu593HHHCUmSNjz29ddfF3q9Xjn2vvvuy8qaiDKJ9bIwveMd71C+N1arVRx//PHik5/8pLj88svFhRdeKE4++eSEl1Wudl389Kc/zdqaWC+p2LFeFqYTTjhB+d7YbDZx4oknin/8x38Ul112mfjkJz8p3v72twuVSpXwc33f+96X1c3iWC+p2LFeFof47l21Wi1GRkZyvoZ81st8Z4QMifMs378AlDlTU1MJoWJDQ0PK/9D70Y9+pJy/1U6hL7zwgtBoNMqx+/bt2/K6L774YsLxP//5zzc9Nn7+zyc+8YmU1l+onnrqqXX/oEjm7YQTTsjKem666aaEIGZwcHDL4+P/QVRRUZH1lykS7RTrZWE66qijUqqRRxxxRNZnyLFeUrFjvSxM8SHxdm9Go1F89atfzWpALATrJRU/1svi8MEPflD5+k899dS8rCGf9TLfGSFD4jzL9y8AZdZ73/tepThcc801KZ+/srIiamtrBRDtXN3o2Sqv1ys6OzuV+1x66aVJXXvv3r3KOVVVVWJ0dHTD4y6++GLluBdffDHlr6EQ7aaQ+I9//GPCP24eeOCBbc+RZTnhd+/YY48tuc0NqPCwXhaeUCgknnrqKbF3717xgQ98QPT09IiKigqh0WhEWVmZaGxsFO95z3vE5z//+ZxsdsR6SaWC9bLwTE1NiX379okvfvGL4qSTThJ79uwRNTU1QqvVivLyctHR0SHOPPNM8Z3vfCelee/pYr2kUsF6Wdimp6eFVqtVvv5UNhDMlHzXy3xnhCohhADljcvlQiQSgVarhdPpzPdyaAeWl5fR0NAAn88HAOjt7U3rZ3rDDTfg2muvBQD88pe/xJlnnpnRdW5lYWEBra2t8Pl8eM973oNnn302Z/cmotLBeklElBzWSyKi5LBeUjHId0aozvkdiYrUww8/rPyFdMIJJ6T9B/qzn/0sampqAAA333xzxtaXjNtvv135Gq6//vqc3puISgfrJRFRclgviYiSw3pJtHMMiYkyQAiB22+/XXn/8ssvT/taFosFe/fuBQC89NJLeOKJJ3a6vKR4vV78x3/8BwDgjDPOwPHHH5+T+xJRaWG9JCJKDuslEVFyWC+JMoMhMVEG3HHHHfjTn/4EAGhvb8dZZ521o+tdfvnleMc73gEAuOaaa5CLqTA33XQT5ubmYDAYcOutt2b9fkRUmlgviYiSw3pJRJQc1kuizOBM4jzL97wRSs9rr72Ghx9+GKFQCH/605/wzDPPKJ+75557cP755+dxdUREuwfrJRFRclgviYiSw3pJxSrfGaE253ckKgJ/+ctfcMstt6z7+Mc+9jH+hUREFIf1kogoOayXRETJYb0kyg6GxEQ7ZDQa0d3djQsvvBBXXXVVvpdDRLRrsV4SESWH9ZKIKDmsl0SZw3ETeZbvVnIiIiIiIiIiIiLKr3xnhNy4joiIiIiIiIiIiKiEMSQmIiIiIiIiIiIiKmEMiYmIiIiIiIiIiIhKGENiIiIiIiIiIiIiohLGkJiIiIiIiIiIiIiohDEkJiIiIiIiIiIiIiphDImJiIiIiIiIiIiIShhDYiIiIiIiIiIiIqISxpCYiIiIiIiIiIiIqIQxJCYiIiIiIiIiIiIqYQyJiYiIiIiIiIiIiEoYQ2IiIiIiIiIiIiKiEsaQmIiIiIiIiIiIiKiEMSQmIiIiIiIiIiIiKmEMiYmIiIiIiIiIiIhKGENiIiIiIiIiIiIiohLGkJhoF5IkCUcccQRUKhXe/e53QwiR9Xtec801UKlUMBqN6O/vz/r9iIgygfWSiCg5rJdERMlhvaRSxZCYaBe666678OabbwIAbr75ZqhUqqzf85prrkFVVRWCwSA+//nPZ/1+u4ksy3jhhRfwta99Daeffjo6OjpgNpthMBjQ0NCA9773vfi3f/s3jI+Pp32PE088ESqVCoODg5lbOBGxXu4iy8vLaG9vh0qlUt727t2b8nVYL4myg/Uyv4LBIB599FGcc845OOSQQ2C1WmE2m2G323HCCSfgK1/5Cp544gmEQqGkr8l6SZQdrJf5sbKygnvvvRdnnXUWurq6YLFYoNfrUVNTg6OOOgqf/exn8dprr6V1bdbLJAnKq97eXrF//37R29ub76XQLrG4uChqamoEAHHMMcfk9N579+4VAAQA8eyzz+b03vlyyy23iIaGBuXr3upNp9OJvXv3ikgkkvJ9TjjhBAFADAwMZP6LICpRrJe7yz//8z+vq5vXXXddytdhvSTKPNbL/HryySdFd3d3Uv/efPXVV5O+LuslUeaxXubH008/LTo6OpKqkx//+MeF1+tN6fqFUi/znRGyk5hol7ntttswOzsLALj66qtzeu8rr7wSZrMZAHDttdfm9N758tvf/haTk5PK+waDAccddxzOPfdcXHrppTj11FNhMpkAAOFwGHv37sX5558PWZY3vJ7f70/55Ug+ny/9L4CohLFe7h4vvfQSvve976V0DuslUe6wXubPvffei1NOOQW9vb0AAI1Gg2OOOQbnnnsuPvWpT+Gss85Cd3f3ltdgvSTKHdbL3Hvuuefwvve9L6HL921vexs+8pGP4J/+6Z9w0kknoby8XPncT3/6U5x22mkIh8PrrsV6uTMMiYl2kUAggNtuuw0A0NbWhg984AM5vX9VVRXOPvtsAMCzzz6Ll19+Oaf3zxeVSoXTTz8dv/jFL+DxePDcc8/h/vvvxw9+8AP89re/xfDwMM455xzl+AcffBDf//73N7zW5ZdfjuOOOw5vvPHGtvddXFzEv/zLv6Crq0v5hwgRJYf1cvcIhUK45JJLIMsy7HY7jjrqqKTOY70kyg3Wy/x57LHH8E//9E9Kc8FnPvMZTE5O4oUXXsD999+P73//+3j00Udx4MAB9PX14eabb0ZVVdW667BeEuUG62XuSZKEiy66CIFAAADQ0dGBJ554An/5y1/w85//HD/+8Y/x5JNPYmBgAJdffrly3ssvv4w77rhj3fVYL3eGITHRLnL//fcrxemiiy6CWp37P6KXXHKJ8nj1L8hiduqpp+KNN97A448/jg9/+MMwGo3rjqmpqcEDDzyAM888U/nY9ddfv+4ZylAohPHxcbz44ov4m7/5G3z605/G/Pz8hve977770NPTg+985zvQ6XQ4cOBAZr8woiLHerl73HDDDdi/fz8A4M4771RefbEV1kui3GG9zI/5+XlcdtllSkB8xx134I477kBNTc2Gx9vtdnzpS19CV1dXwsdZL4lyh/Uy955//nn09fUp7+/btw+nnHLKuuOqq6tx5513JgT3999/f8IxrJcZkJchF6TI97wR2l3+7u/+Tpmzs3///ryto62tTQAQBoNBLCws5G0du83+/fsTZiH98Y9/3PC43/zmN+Ld7363ACCqq6vF97//ffGe97xHABD79u0Txx57rAAgKisrxc033yxWVlZy/JUQFT7Wy93hL3/5i9Dr9QKAOPfcc4UQazPfkMRMYtZLouxjvcyPz33uc8r3/cMf/vCOr8d6SZR9rJe5d9tttynf80MOOWTb4x966CHleIvFsuExhVwv850RMiTOs3z/AlDqDj/8cKUoPfTQQ0mfd8455yjnfeUrX1n3ebfbrXy+p6dny2v99Kc/VY7VarXi5Zdf3vL4QCAg3vGOdyjnnHnmmVsef9VVVynH/uAHP9j2aysllZWVyvfm5z//+abHybIsHnnkEeF0OtcN2jeZTOLqq6/e9C/8T3/608qxra2t2/7DwOVyCYvFopxz6623pv8FEmUQ62VxkyRJ+Z+pqqoqMTU1JYRILSQWgvWSSAjWy2KzsrKS8G/GN954IyPXZb0kYr0sNjfccIPytR599NHbHv/rX/9aOb6srGzT4wq1XuY7I2RInGf5/gWg1N1+++3KH/5TTjklqXMWFhaE0WgUAIRKpRJ9fX3rjol/Bu2KK67Y9poXXXSRcrzdbheLi4ubHhvfydDY2ChmZ2e3vPa+ffuU488444ztv8ASUlVVpXxvfvrTn257/MrKijjxxBOVc8rLy8Urr7yy7Tlve9vblHM+/vGPb3psOBwWRx55pHLs3//93wtZllP+uoiygfWyuP37v/+78rX/6Ec/Uj6eaki8ivWSShnrZXH52c9+pnythx56aMavz3pJpYz1srjcd999ytdaVVUlwuHwlsd/+9vfTilULrR6me+MkCFxnuX7F4BS5/F4hMlkUv6CGRgY2PacO+64QykaJ5544obHfOADH1COeeCBB7a95vLycsKzYhdccMGGx/36178WKpVKWe9vf/vbba89OzurXNdsNotIJLLtOaVgbGws4RnIl156acvjf/azn4nu7u4Nn7m85pprtnxG8s033xQGg0E55+67797wuC9/+cvKMTU1NWJiYmIHXyFRZrFeFq/BwUFhNpsFAHH88ccn/GM4nZCY9ZJKHetlcYkPhC677DIhRLRL8V//9V/FIYccIsxms6ioqBA9PT3i0ksvFc8//3zS12a9pFLHellcpqenE+rSN77xjU2PHR8fF01NTcqx991335bXLsR6me+MUCXEQTsvUU65XC5EIhFotVo4nc58L4eSdOGFF+Kee+4BAHz1q1/F1772tS2Pf/e7343XX38dQHS4+rnnnrvumPr6ekxPTwMA/vznP+Owww7bdh2vvfYajjnmGITDYQDAI488go9//OPK52dmZnD44YdjcnISAPCFL3wBt9xySxJfIdDc3Izx8XEAwJtvvonDDz88qfM284c//AH33Xffjq5xsNNPPx2nn356Rq+5lRtvvBH/5//8HwCA1WrF7OwstFrtuuOefPJJXHPNNXj11VdRXV2NG264AQ888ACee+457Nu3D9/+9rfxwgsvoLKyEl/+8pdx5ZVXbrhh3m233YbPfe5zAACLxYL//d//hd1uVz7/9NNP4+STT1Y2RPnVr36FD37wg1n4yonSx3qZukKol+9///vx61//Gnq9Hm+++Sb27NmjfO7EE0/EM888AwC47rrrsHfv3k2vw3pJtIb1MnW7tV4ed9xxeOGFFwAA//Ef/wGTyYSrrroKKysrm55z9tln48c//vGmm3+yXhKtYb1M3W6tl0B0E+Rrr71Wef9DH/oQPve5z6GnpwcVFRUYGhrCr3/9a9x0003Kz+if//mfcfvtt294vUKul3nPCPMSTZMipWcJJEmI5Rm+bfYmSdn/gcU8//zzyrNFra2tQtri3m+88YZyrM1m23Ao+sTEhHKMSqUSwWAw6bV84xvfSLj+0NCQ8rl/+Id/UD53xBFHpHTdk08+WTn3nnvuSfq8zdx9993rnsHb6VsqL2PeqbGxMVFRUaHc+0tf+tK6Y4LBoDjttNMEAKFWq8Xll18u5ubmhBBrnXUDAwNClmVxzz33iIaGBgFAtLS0bNhBIsuyeN/73qfc86ijjlJefjM/Py9aWlqUzyXzkqhSI0uSCM/N8W2DN5n1kvVyB+69917lul/96lfXfT6ZTmLWy91FliTh83r4tsEb6yXrZTpWN50CID7ykY8oj3U6nTj55JPFJZdcIj72sY+Jurq6hHsff/zx615qzXq5u0iSJJaXl/m2ydtWdSuTWC9Tt1vr5apvfetbQq1Wb3vPww47bNPvRzHUy3x3Eq9vgaPda2Ue+JZ9++NK1RfdgLkmJ7c69thj8ba3vQ1//etfMTIygieeeAKnnXbahsf+53/+p/L43HPP3fAZqoGBAeVxXV0d9Hp90mv50pe+hN/+9rd46qmn4PF4cN555+Gpp57C9773PTz++OMAAJPJhAcffDCl6zY3N2+4vlIkSRIuuOACLC4uAoj+jK655pp1x+n1etTW1uKYY47BHXfcgXe+850bXk+lUuH888/Hhz70IezduxcPPPAAenp6NjzuJz/5CQ4//HBMT0/jlVdewd69e3H99dfjU5/6FEZHRwEAhxxySNLPSJcSyeOB65hj872MXcn54gvQVlXl5F6sl8VlZmYGn//85wEA3d3d+MpXvpLWdVgvd5eV5SXceen6rioCrvjhAyirsObkXqyXxcPj8SiPf/GLXwAAjjzySDzyyCPo7OxUPhcKhbB371584xvfAAA8++yzuP766xNegcF6ubusrKzgW9/6Vr6XsWt98YtfhNlszvp9WC+Lz7/+67/iYx/7GL74xS/iZz/72YbHVFVV4aMf/eim3cuslzunzvcCiArVpZdeqjyO/4snXjAYxIMPPqi8f/HFF2943NTUlPK4uro6pXWo1Wrce++9qIoFPs8++ywuvfRSfPGLX1SOueWWW3DIIYekdN2amrXAffXlMTtx4YUXQkTnoGfsbauXMGfS1Vdfjd/97nfK+z/5yU9QWVm54bHf//738fzzz2/6F1K8iooKfOc730F/f3/C9ztefX097r77buX9b3zjG7jiiivw6KOPAoj+Rfjggw9u+tJEot2A9TI1u7lefvazn8Xc3BwA4K677oLBYEj7WqyXROuxXqZmt9ZLn8+X8H5zczN+85vfJATEQLQu3XjjjbjiiiuUj916661KY8Iq1kui9VgvU7Nb6+WqJ598Eh/5yEeUgPhd73oXzj//fFx66aV43/veB4vFgvn5eezduxcOhwP/9V//teF1WC93hiExUZrOO+885VnIxx57DLOzs+uO2bdvH+bn5wFEi9xmhSr+H5LpFJeWlhb88Ic/VN7/8Y9/jEAgAAD44Ac/mPAPz2TFr+Pgf+iWkjvvvDPhWcH/7//7//D+979/0+PLysqgUqlSusd2z7affvrpuPLKKwEAsizjrrvuUj5344034ogjjkjpfkS5xnpZHB5//HE89NBDAIALLrgAJ5100o6ux3pJtB7rZXE4uFPxK1/5yqYNBgDwb//2b8qTbouLi/jv//7vhM+zXhKtx3pZPL773e/ilFNOweuvv47DDjsMb7zxBv74xz/innvuwQ9+8AP8z//8D0ZGRnD55ZcDALxeLz7ykY/g+eefX3ct1sudYUhMlKaqqiqcddZZAKIvFbv//vvXHfPjH/9YebzZs5YHS7WgrfrIRz6CSy65JOFjDQ0Nmz6ruh3BPS3x8MMP45//+Z+V96+44gp8/etfz8tavvnNb67bPOGUU07BF77whbyshygVrJeFb2lpSfkfnJqaGnz729/O84o2x3pJhYz1sjhYLJaE9z/84Q9veXx1dTWOP/545f0XX3wxK+s6GOslFTLWy+Lw4osv4qqrroIQAg0NDfj973+/Yehqs9lw55134vzzzwcAhMNhXHbZZTn7PpVKveRM4kJiqorO3aWNmXIzXzPepz71KTzwwAMAon8Bre58CQBDQ0P4/e9/H12ayYRPfvKTm14n/pkrv9+f9nrq6+sT3j/22GNRW1ub1rVWn/kEtn9mrRg9/vjjOP/885WdSs855xzccccdaV/v6aef3tF69Hq98hKmVWeeeWba/4gpBRqbDc4XX8j3MnYljc2W83uyXha2r371qxgZGQEAfPvb3970JXmZwHqZeyZLOa744QP5XsauZLKU5/yerJeFr7q6Wnn5us1mQ2Nj47bnHHrooXjiiScAAGNjY0ndh/Uy90wmU8IYAUqU65fcs14Wvn/7t39T/p/7s5/9LOrq6rY8/sYbb8R9990HIQT279+PV155BX/7t3+77X1YL5PDkLiQqNU525iNknP88cdjz549eOutt/DnP/8Zr776Ko488kgAwN13360Uu7POOgu2LUKZhoYG5fFGL5NJxnPPPYebbrop4WM///nP8cgjj+ATn/hEytebmZlRHifzD9vt/OEPf8B999234+vEO/300zcdWr8TTz75JD760Y8iHA4DAM444wzce++9UKvz9+KLm266Cc8++2zCx7785S/j/e9/P+x2bmi5EZVanbPN2Wh7rJfJ24318o033gAQ7a658847ceedd2567P79+5XHP/rRj/DrX/9aef/ll19Oew3JYr1MnUqtztnmbLQ91svk7cZ6CQB79uxRauHBXcWbiT9uaWlpR/dPFutl6tRqdVEHdoWG9TJ5u7FehkIhPPXUU8r7yYwya25uRnd3Nw4cOAAAeO2115IKiXeqZOqloLzq7e0V+/fvF729vfleCqXp29/+tgAgAIjLLrtMCCGELMuivb1d+fhTTz215TUmJiaUY1UqlQgGgymtwePxJNxvz549ymObzSaGh4dT/rre+973Kte45557Uj7/YHfffbdyvUy9XXfddTte18Gef/55YTablXucfPLJIhAIZPw+qXjllVeEVqtV1tTT06M8/tu//VsRDofzuj6iZLFeJmc31ssTTjghI+vINtZLKhasl8nZjfVSCCG++tWvKtezWq1JnXPVVVcp53z0ox/d8Rq2w3pJxYL1Mjm7sV6OjY0lXM/lciV13jHHHKOcc8MNN+xoDcnIZb3Md0bImcREO3TBBRcoG0089NBD8Pv9+N3vfoehoSEAgMPhwAknnLDlNRoaGpSXVQgh0Nvbm9IarrjiCuV+hx12GP74xz8qc808Hg/OO+885VnUZL311lvK42IaxL6V1157DaeffrqyMcAxxxyDxx57TPn55oPP58O5556LSCQCALjkkkvw9NNPKy/1/sMf/oCvfe1reVsfUSpYLymbWC+pmLBeFraTTz5Zeez1ejE+Pr7tOfGvwmhtbc3KulaxXlIxYb0sXAePJ1ndZHA7c3NzyuOtOsQzoeTqZV6iaVLk+1kCyoyzzz474Vm++PdvvPHGpK7xgQ98QDnn/vvvT/re9957r3KewWAQb775phBCiKGhIWGz2dJ6hm12dlY5z2KxiEgkkvS5hepPf/qTqKqqUr7ud73rXcLj8eR7WeKiiy5S1uR0OsXy8rIQQojHHntM+bhGoxHPPfdcnldKlBzWy+IX33WcjVd8bIb1kooN62XhkiRJ1NXVKV/vHXfcseXxs7OzwmAwKMf/8pe/zOr6WC+p2LBeFiZZlkV5ebnytX7jG9/Y9pyRkRGhUqmUc37zm99kdY25rpf5zggZEudZvn8BKDN+//vfJ4SLq//I02g0Ynx8PKlr3Hbbbco1Lr/88qTO6e/vFxUVFcp5t956a8LnH374YeVzOp1OvPrqq0ldd9++fcp5Z5xxRlLnFLIDBw6I+vp65Ws+9NBDxczMTL6XJR599FFlTVqtVrzyyisJn7/sssuUz7e3t++KUJtoO6yXxS8fITHrJRUj1svC9vWvf135epubm8X8/Pymx15xxRXKsQ0NDWJlZSVr62K9pGLEelm4PvShDyXUv+np6S2PP++885Tjy8rKhM/ny9ra8lEv850RMiTOs3z/AlBmyLIsnE6nUiBW3z74wQ8mfQ23262c193dve3xkUgkYRbPqaeeKmRZXndcfBGNf+ZrK/Ez0X7wgx8k/TUUoqGhIdHa2qp8vQ6HI+l/SGTT6OhoQmfz9ddfv+4Yn8+XMO/qnHPOycNKiVLDeln8ch0Ss15SsWK9LGzLy8uiublZ+ZqPPPJI0d/fn3BMMBgUX/nKVxJ+vnfeeWfW1sR6ScWK9bJwPfvsswk/s8MOO0y88cYb645bWFhICGUBiC996UtZW1e+6mW+M0KGxHmW718Aypybb7553V9Kjz32WErXOProo5Vz9+/fv+Wx1113nXJsdXX1psHm4uKi6OrqUo69+OKLt11HW1ubACD0ev2WXQ/F4Mgjj1z3D4nPfOYzSb09/vjjWVmTJEnipJNOUtZ03HHHCUmSNjz29ddfF3q9Xjn2vvvuy8qaiDKJ9bK45TIkZr2kYsd6WdheffXVhA2RdTqdOOWUU8Sll14qPv7xjye8kg2AOPfcc7O2FtZLKnasl4XrX/7lX9b97N71rneJCy64QFx66aXife97X0ItXX3iLVtdxPmsl/nOCBkS51m+fwEoc6ampoROp1OKQ0NDQ8q7XP7oRz9K6n+sX3jhBaHRaJRj9+3bt+V1X3zxxYTjf/7zn2967Msvv6wc94lPfCKl9Rei+F1oU33LVvhx0003KfewWq1icHBwy+Pj/0FUUVEhBgYGsrIuokxhvSxuuQyJWS+p2LFeFr4XX3xR2O32Lf9NqdVqxdVXX71pCJEJrJdU7FgvC5csy+Kb3/xmwmz2rd4+/vGPi4WFhaytJ5/1Mt8ZIUPiPMv3LwBl1nvf+16lOFxzzTUpn7+ysiJqa2sFANHa2rrhPxS9Xq/o7OxU7nPppZcmde29e/cq51RVVYnR0dENj7v44ouV41588cWUv4ZCs9tC4j/+8Y8J/7h54IEHtj1HluWE371jjz22aDc3oOLBelm8chUSs15SqWC9LHw+n0/88Ic/FKeeeqpoaWkRer1eVFZWiiOOOEL8y7/8izhw4EBW7896SaWC9bKwTU5Oiptvvlm8733vE83NzcJkMgmdTidqamrEUUcdJT73uc9tOIoik/JdL/OdEaqEEAKUNy6XC5FIBFqtFk6nM9/LoR1YXl5GQ0MDfD4fAKC3tzetn+kNN9yAa6+9FgDwy1/+EmeeeWZG17mVhYUFtLa2wufz4T3veQ+effbZnN2biEoH6yURUXJYL4mIksN6ScUg3xmhOud3JCpSDz/8sPIX0gknnJD2H+jPfvazqKmpAQDcfPPNGVtfMm6//Xbla7j++utzem8iKh2sl0REyWG9JCJKDusl0c4xJCbKACEEbr/9duX9yy+/PO1rWSwW7N27FwDw0ksv4Yknntjp8pLi9XrxH//xHwCAM844A8cff3xO7ktEpYX1kogoOayXRETJYb0kygyGxEQZcMcdd+BPf/oTAKC9vR1nnXXWjq53+eWX4x3veAcA4JprrkEupsLcdNNNmJubg8FgwK233pr1+xFRaWK9JCJKDuslEVFyWC+JMoMzifMs3/NGKD2vvfYaHn74YYRCIfzpT3/CM888o3zunnvuwfnnn5/H1RER7R6sl0REyWG9JCJKDuslFat8Z4TanN+RqAj85S9/wS233LLu4x/72Mf4FxIRURzWSyKi5LBeEhElh/WSKDsYEhPtkNFoRHd3Ny688EJcddVV+V4OEdGuxXpJRJQc1ksiouSwXhJlDsdN5Fm+W8mJiIiIiIiIiIgov/KdEXLjOiIiIiIiIiIiIqISxpCYiIiIiIiIiIiIqIQxJCYiIiIiIiIiIiIqYQyJiYiIiIiIiIiIiEoYQ2IiIiIiIiIiIiKiEsaQmIiIiIiIiIiIiKiEMSTOM41GAwCQJAlCiDyvhoiIiIiIiIiIiHJJCAFJkgCsZYW5xpA4z7RaLYDoL0MwGMzzaoiIiIiIiIiIiCiXgsGg0jy6mhXmGkPiPCsvL1ceLy4u5nElRERERERERERElGvxmWB8VphLDInzLP4Hv7CwAL/fn8fVEBERERERERERUa74/X4sLCwo7zMkLlFarRYVFRUAAFmWMTIygunpaQQCAc4oJiIiIiIiIiIiKjJCCAQCAUxPT2NkZASyLAMAKioq8jZuQiWYROadLMsYHR2Fz+dL+LhKpcrbsGoiIiIiIiIiIiLKPEmS1jWHms1mtLS0QK3OT08vQ+JdQpZlTExMcC4xERERERERERFRCamoqEBjY2PeAmKAIfGuE4lEsLS0hKWlJUQiEUiSlO8lERERERERERERUYZoNBpotVqUl5ejvLw8byMm4jEkJiIiIiIiIiIiIiph3LiOiIiIiIiIiIiIqIQxJCYiIiIiIiIiIiIqYQyJiYiIiIiIiIiIiEoYQ2IiIiIiIiIiIiKiEsaQmIiIiIiIiIiIiKiEMSQmIiIiIiIiIiIiKmEMiYmIiIiIiIiIiIhKGENiIiIiIiIiIiIiohLGkJiIiIiIiIiIiIiohDEkJiIiIiIiIiIiIiphDImJiIiIiIiIiIiIShhDYiIiIiIiIiIiIqISps33AgpVIBDAn//8ZwBAbW0ttFp+K4mIiIiIiIiIiCi7IpEIZmZmAABvf/vbYTQad3xNJptp+vOf/4yjjjoq38sgIiIiIiIiIiKiEvXKK6/gyCOP3PF1OG6CiIiIiIiIiIiIqISxkzhNtbW1yuNXXnkFjY2NeVwNERERERERERERlYKJiQllwkF8RrkTDInTFD+DuLGxES0tLXlcDREREREREREREZWaTO2TxnETRERERERERERERCWMITERERERERERERFRCWNITERERERERERERFTCGBITERERERERERERlTCGxEREREREREREREQljCExERERERERERERUQljSExERERERERERERUwhgSExEREREREREREZUwhsREREREREREREREJYwhMREREREREREREVEJY0hMREREREREREREVMIYEhMREREREREREVFBCwQC+Otf/4qhoaF8L6UgafO9ACIiIiIiIiIiIqJUCCEwMzMDl8sFl8uF4eFhyLKMQw89FO3t7fleXsFhSExERERERERERES7XjgcxsDAgBIMezyedce43W5IkgSNRpP7BRYwhsRERERERERERES0Ky0sLCih8MDAACKRyJbHB4NBjIyMoKOjIzcLLBIMiYmIiIiIiIiIiGhXkCQJw8PDSjA8MzOT9LkajQYdHR1QqVRZXGFxYkhMREREREREREREebO8vKyEwm63G8FgMOlzKyoq4HQ64XQ60dXVBb1en8WVFi+GxERERERERERERJQzsixjfHxcCYbHx8eTPlelUqG1tVUJhuvr69k5nAEMiYmIiIiIiIiIiCirVlZW4Ha74XK50NfXB5/Pl/S5ZWVlcDgccDqdsNvtKCsry+JKSxNDYiIiIiIiIiIiIsooIQRmZmbQ29sLl8uF4eFhCCGSPr+xsVHpFm5uboZarc7iaokhMREREREREREREe1YKBTC4OCgEgx7vd6kz9Xr9bDb7XA6nXA4HKioqMjiSulgDImJiIiIiIiIiIgoLQsLC3C5XOjt7cXg4CAikUjS51ZXV6O7uxtOpxNtbW3QahlV5gu/80RERERERERERJQUSZIwPDysBMOzs7NJn6vRaNDR0aEEw1VVVVlcKaWCITERERERERERERFtamlpCX19fXC5XHC73QgGg0mfW1FRAafTie7ubnR2dkKv12dxpZQuhsRERERERERERESkkGUZ4+PjSrfwxMRE0ueqVCq0trYq3cJ1dXVQqVRZXC1lAkNiIiIiIiIiIiKiEreysgK3243e3l709fXB7/cnfW5ZWRkcDge6u7tht9thMpmyuFLKBobEREREREREREREJUYIgenpaaVbeGRkBEKIpM9vbGxUxkg0NTVBrVZncbWUbQyJiYiIiIiIiIiISkAoFMLAwABcLhdcLhe8Xm/S5+r1etjtdjidTjidTpSXl2dxpZRrDImJiIiIiIiIiIiK1Pz8vBIKDwwMQJKkpM+tqalRuoVbW1uh1TJKLFb8yRIRERERERERERWJSCSC4eFhJRienZ1N+lytVouOjg5l07nKysosrpR2E4bEREREREREREREBWxpaUkJhd1uN0KhUNLnWq1WpVu4o6MDer0+iyul3YohMRERERERERERUQGRZRljY2NKMDwxMZH0uSqVCm1tbUowXFtbC5VKlcXVUiFgSExERERERERERLTLraysoK+vDy6XC319ffD7/Umfazab4XA44HQ6YbfbYTKZsrhSKkQMiYmIiIiIiIiIiHYZIQSmp6fR29sLl8uFkZERCCGSPr+pqQlOpxNOpxNNTU1Qq9VZXG1+CUkgNLaEoNsLbaUBZUfU5XtJBYchMRERERERERER0S4QCoXQ39+vjJFYXFxM+lyDwQC73a4EwxaLJYsrzS8hC4QnfAi6PdG3wUWIoAQAMHRZGRKngSExERERERERERFRnszPzyvdwoODg5AkKelza2trlVC4ra0NGo0miyvNHyELRKb9CLg9CLq9CPZ7IQKRDY8NDi9ChGWodMXbOZ0NDImJiIiIiIiIiIhyJBKJYGhoSOkWnpubS/pcrVaLzs5OJRiurKzM4krzRwiByMwKgv2robAHsm/jUHidiEBweBFGuy2rayw2DImJiIiIiIiIiIiyaHFxUQmF+/v7EQqFkj7XarWiu7sbTqcTHR0d0Ov1WVxpfgghIM0HEHR7EYgFw/JS8t+jVdq6MhjsVmgsuiyssrgxJCYiIiIiIiIiIsogWZYxNjamjJGYnJxM+lyVSoW2tjYlGK6trYVKpcriavMj4omGwkG3B8F+LyRPMOVraGtMMHRZYbBbYeiyQVNefAF6rjAkJiIiIiIiIiIi2iG/3w+3243e3l709fVhZWUl6XPNZjMcDge6u7vR1dUFk8mUxZXmh7QUim00F+0WluYCKV9DYzPAYLdFQ2G7DVqrIQsrLU0MiYmIiIiIiIiIiFIkhMDU1JTSLTw6OgohRNLnNzU1wel0oru7G42NjVCri2ujNckXXpsp7PYgMpN8aL5KXaGHscsaC4Zt0FYZs7BSAhgSExERERERERERJSUYDGJgYEAJhpeWlpI+12AwwG63o7u7Gw6HAxaLJYsrzT15JYJgvzcWDHsQnvSnfA21WaeMjjDYrdDWmIpy1MZuxJCYiIiIiIiIiIhoE3Nzc3C5XOjt7cXQ0BAkSUr63NraWqVbuLW1FRqNJosrzS05GEFwYFHpFg6PLwPJN1IDAFQmLQxd1mi3sMMGbV0ZQ+E8YUhMREREREREREQUE4lEMDQ0pATD8/PzSZ+r1WrR2dmpdAtXVlZmcaW5JYckhIYWo+Mj+j0IjS4BcmrXUBk0MHSubTSnazRDpWYovBswJCYiIiIiIiIiopK2uLgIl8sFl8uF/v5+hEKhpM+12WxKt3BHRwd0Ol0WV5o7IiwjOLwYHSHh9iA0sgRIqbUKq/Rq6Dus0W5huw26JgtUGobCuxFDYiIiIiIiIiIiKimyLGN0dFQJhicnJ5M+V61Wo62tTQmGa2pqimJEgpBkhEaXEezzREdIDC0BkRRbhbVqGNrLozOFHTboWyxQaYprQ75ixZCYiIiIiIiIiIiKnt/vR19fH1wuF/r6+rCyspL0uWazGU6nE06nE3a7HUajMYsrzQ0hCYTHlxHs9yDg9iI06IUIpRgKa1TQt5bDYLfBaLdC31oBlY6hcCFiSExEREREREREREVHCIHJyUmlW3h0dBRCJD8uobm5WekWbmhogFpd2OGnkAXCk77oTGG3B8EBL0Qw+U34AABqQN8S6xS2W6Fvr4BaXzyb8ZUyhsRERERERERERFQUgsEg+vv7lWB4aWkp6XMNBgMcDgecTiccDgcsFksWV5p9QghEpv0JobDsj6R2ERWga7IoG80ZOiugNjBOLEb8qRIRERERERERUcGanZ1VQuGhoSFIUvLdsXV1dcoYidbWVmg0hdsVK4RAZHZF2Wgu2O+FvBxO+Tq6BnNiKFxWHBvx0dYYEhMRERERERERUcGIRCIYHBxUguH5+fmkz9Vqtejq6lKCYZvNlr2F5kBkPqAEwkG3B9JiKOVraGtNMNij4yMMnVZoLPosrJR2O4bERERERERERES0q3m9XiUU7u/vRzicfIeszWZDd3c3nE4nOjo6oNMVbmdsxBuMhsKxERKSJ5jyNTTVRhhjM4UNXTZoKhgKE0NiIiIiIiIiIiLaZSRJwujoqBIMT01NJX2uWq1Ge3u70i1cU1MDlUqVxdVmj7QUQrB/LRSOzAVSvobGZoChyxrrFrZBazNkYaVU6BgSExERERERERFR3vl8PvT19cHlcqGvrw+BQPKBqMViUULhrq4uGI3GLK40eyRfODo6ot8TDYWnV1K+hrpcD4PdqnQLa6qMBRuSU+4wJCYiIiIiIiIiopwTQmBychK9vb1wuVwYHR1N6fyWlhYlGG5oaIBarc7SSrNHXokgOLC20Vx4wpfyNdRmbXSTOXu0W1hbY2IoTCljSExERERERERERDkRDAbR39+vBMPLy8tJn2s0GuFwOOB0OuFwOGA2m7O40uyQgxKCg97o+Ih+D8Jjy4BI7RoqozY2PsIKo90GbV0ZVOrSDYVlWcLc6AgmXG9hwtULa20d/u6ss/O9rILDkJiIiIiIiIiIiLJCCIG5uTm4XC709vZiaGgIsiwnfX59fb3SLdzS0gKNRpPF1WaeCEsIDi0qM4VDo8uAnFoqrDJoYOioUGYK6xrNJR0K+70eTPQdwITrQDQY7nMhHFgby1Hb3smQOA0MiYmIiIiIiIiIKGPC4TCGhoaUYHhhYSHpc3U6Hbq6upRg2Gq1ZnGlmSciMkLDSwi4PQj2exAaXgKkFENhnRr61VC4ywp9czlUmtIMhaVIGNOD/Zhw9cYC4QPwTk1uec7s8BBCgRXojaYcrbI4MCQmIiIiIiIiIqId8Xq9Sig8MDCAcDic9LmVlZXo7u6G0+lEe3s7dDpdFleaWUKSERpdjm0050VoaBEinHynNABAq4KhrSI6QsJhg76lHCpt4c1X3ikhBJbmZpQO4XHXAUwPuCGl8LsUvY6MKbcLrW87PEsrLU4MiYmIiIiIiIiIKCWSJGF0dFQJhqenp5M+V61Wo729XQmGq6urC2ajNSELhMeXlZnCwYFFiJCU2kXUKuhby5WN5gxt5VDpCmuMRiaEgwFM9fdhwnUA473RLmHfwnza16uorUOjoweNzj2w1jdmcKWlgSExERERERERERFty+fzoa+vD729vXC73QgEAkmfa7FY4HQ60d3dja6uLhgMhiyuNHOELBCe9CHYH50pHBzwQgRSDIVVgK6lHMauaCisb6+A2lBaobAQAp7J8WggHOsUnhkagEhhPnU8rcGARns3Gp09aHD2oNHRA0tlVYZXXVoYEhMRERERERER0TqyLGNychK9vb1wuVwYGxtL6fyWlhYlGG5oaCiIbmEhBCIzK9FA2O1BsN8L2R9J7SIqQNdohqHLFu0W7rRCbSytCC7o92GiLzZH2BXdZC6wvJT29aqaWtDo3INGZw8anT2oaW2HusA2MdztSus3lIiIiIiIiIiINhUIBNDf34/e3l709fVheXk56XONRiMcDge6u7tht9thNpuzuNLMEEJAmgsgEJspHOz3QF5KbQYuAGjry2DossIY22xOXVY4c5V3SpYlzI0MR8PgvmggPDc2AojUNuxbZTCbo4GwIxoINzp6YLRYMrxqOhhDYiIiIiIiIiKiEiWEwOzsrDJbeHh4GHIKIwDq6+uV2cLNzc3QFEB3Z2QhsDZT2O2B5A2lfA1tjWltpnCXFRqLPgsr3Z38Xo8yMmLCdQCTbhfCgZW0rqVSqVHT3oEmZ4/SKVzZ0ASVuvQ27ss3hsRERERERERERCUkHA5jcHBQCYY9Hk/S5+p0OnR1daG7uxsOhwNWqzV7C80QaTGIoNuLQGx8hDSf/CzlVZoqY0KnsMZaGDOVd0qKhDE92K+MjJhwvQXv9FTa1zPbKmMjI6KBcH2XA3qjKYMrpnQxJCYiIiIiIiIiKnIejwculwsulwv9/f2IRJKfs1tVVaXMFm5vb4dWu7vjJGk5tLbRnNuLyGzqXa4aq35tpnCXDdoqYxZWursIIbA0N6OEweOuA5gecEMKpz5+AwA0Wi3quhwJXcLl1bUFMZu6FO3uP9VERERERERERJQySZIwMjKiBMPT09NJn6vRaNDe3q6Mkaiurs7iSndO9oejoXB/tFs4MuVP+Rpqi04ZHWG026CpNhZ9mBkOBDDV34fx1c3l+g7AtzCf9vWsdfUJm8vVtndBqyud2cyFjiExEREREREREVER8Pl8Sijc19eHYDCY9Lnl5eVKt3BnZycMht07TkEORBAc8CpzhcMTPiDFPdLUZVoYumIzhe02aGtNRR0KC1nGwuR4Qpfw7PAgRArzp+PpDEY0OLrR6OhGY/chaHR0w2yrzPCqKZcYEhMRERERERERFSBZljExMaEEw2NjY0mfq1Kp0NLSogTD9fX1uzYklUMSQoOLCLo9CPR7ER5bAlLMNlVGDQyda6Gwrr4MKvXu/HozIeBbxqTrQHSDub4DmHQdQMC3nPb1qppb0ejsQVOsU7i6tQ1q9e7fpJCSx5CYiIiIiIiIiKhABAIBuN1uJRj2+XxJn2symeBwOOB0OuFwOFBWVpbFlaZPhGUEhxeVmcKh0SVASq1VWKXXwNBZoYyQ0DVZijYUliUJsyNDCZvLzY+Ppn09o9mSsLlcg6MbRrMlgyum3ahgQ+Jkn9064YQT8PTTT2d3MUREREREREREWSCEwMzMjBIKDw8PQ05hREBDQwOcTiecTidaWlqgVquzuNr0iIiM0OhSdHyE24Pg8CIQSTEU1qmhb4+FwnYr9M0WqDS772vNBJ9nQQmDJ1wHMOl2IRwMpHUtlVqN2vZONDp6lGC4srFp13aVU/YUbEhMRERERERERFSMwuEwBgYGlGDY4/Ekfa5Op4PdbleC4YqKiuwtNE1CEgiNLUU3m3N7EBpchAinOD9Co4K+rQJGe3SEhL61HCpt8YXCkXAYM4P9yhzhCdcBLM5MpX09c2WVMjKi0dmD+i4HdAZjBldMhargQ+IrrrgCn/70pzf9vNlszuFqiIiIiIiIiIhSt7CwoITCAwMDiEQiSZ9bVVWF7u5uOJ1OtLe3Q6vdXXGPkAXCE77Y+AgPgoOLEEEptYuoVdC3lsc2m7PC0F4Bla64ZuIKIbA4Mx3tEO7rxYTrLUwPuCGl8LsQT6PTob7TkTA6ory6hl3CtKHdVTXSUFdXh8MOOyzfyyAiIiIiIiIiSpokSRgeHlaC4ZmZmaTP1Wg06OjoULqFq6urs7jS1AlZIDLtR6DPE+0W7vdCBFIMOlWArtkCg90GY5cV+g4r1IbiCoVDgRVMuV1Kh/CE6y34vZ60r2etb4iNjdiDJmcPajs6odHqMrdgKmoFHxITERERERERERWC5eVlJRR2u90IBoNJn1teXq50C3d2dsJgMGRxpakRQiAys4Jgf3SjuWC/B7Iv9e5XXaNZ2WjO0GmF2lQ8sZWQZcxPjCXMEp4dHoIQKY7ZiNEZTWh0OJUO4UZHD8qstswumkpK8fxpIyIiIiIiIiLaRWRZxsTEBHp7e+FyuTA+Pp70uSqVCi0tLUowXF9fv2vGBAghIM0HEHR7EXBHu4XlpVDK19HWlcFgt8Jot0HfaYXGXDxdryvLS5iMjYyYcB3ARN8BBH2+9C6mUqG6uRUNjm40de9Bo3MPqltaoVYXV2c15RdDYiIiIiIiIiKiDFlZWUF/fz96e3vR19cHXwrBoMlkUkZI2O12lJWVZXGlqYl4oqFwdK6wF5I3+S7oVdoa09pM4S4bNOX6LKw092RJwuzIkBIIj7sOYGF8NO3rGcsr0BTrDm507kGDwwlDGffcouwq+JD4Zz/7GR566CEMDw9Dq9WioaEBxxxzDC688EKcdNJJaV93dHTrP8wTExNpX5uIiIiIiIiIioMQAjMzM3C5XOjt7cXw8DCEEEmf39DQoHQLNzc3Q61WZ3G1yZMWQ8r4iEC/B9JcIOVraGyG6PgIuxUGuw1a6+4ZkbETywvzmOhbmyM86XYhksLokHhqjQa17Z0Jm8vZ6ht3Tdf4bhcOSpgf92F2dAlzo8uYHVtGRbUJp/zTofleWsEp+JB4//79Ce/39fWhr68P9957Lz70oQ/hJz/5CaxWa8rXbW1tzdQSiYiIiIiIiKiIhEIhDA4OKmMkvF5v0ufq9XrY7XY4nU44HA5UVFRkcaXJk5ZDyiZzQbcHkZmVlK+hrtDDuDpT2G6DtsqYhZXmViQUwvSgW+kQnuw7gMWZ6bSvZ6msQmNsZESjoxv1XQ7oDIX/fco2IQSW5gOYG13G3NgyZkeXMTfmg2faDxz0nMzyfHqBfakr2JC4rKwMZ5xxBk4++WTs2bMHFosFMzMzeOaZZ3DXXXdhbm4Ov/zlL3HmmWfiiSeegE5XPHNtiIiIiIiIiCi3FhYWlE3nBgYGEIkkvzFbdXU1nE4nuru70dbWBq02/3GM7A8jOLAYHR/R70F40p/yNdQWnRIIG7qs0NaYCroDVgiBxZkpjMdtLjc90A9ZSn0TPgDQ6vSo63Kg0dkTHR/h3IPy6poMr7r4hEMS5sdi3cFx/w2tJPdzWJoPILgSgaGINj7MhYL9bo2NjcFms637+Kmnnoorr7wS73//+/HGG2/gmWeewZ133omrrroqpeuPjIxs+fmJiQkcddRRKV2TiIiIiIiIiAqDJEkYHh5WxkjMzs4mfa5Go0FHR4cyRqKqqiqLK02OHIzEhcJehMeX13Vgbkdl0sLQFd1ozmC3QltXVtChcGjFj0l3XzQQjo2P8Hs9aV/PWt+AptjIiEbnHtS2d0CjZdPiZoQQWF4IRruCR1e7g5c37A5O1dzoMpqctoyss1SoRCqDcgpIf38/DjnkEIRCITgcDrhcroxef3R0VBlJMTIygpaWloxen4iIiIiIiIhya2lpCX19fXC5XHC73QimMGe2oqJCCYU7Ozuh1+d3UzY5JCE0tKhsNhcaWwLk1K6hMmhg6LQqM4V1DWao1IUZCgtZxvz4mNIhPOF6C7MjwxAixW9KjN5kQoMj2iHc4OhBo7MHZRWpjzstFZGQhPkJH2ZXw+BYIBz0p9elHU+lAqx1ZahpsaC6xYKaZgsaHVYYyoo3oM9GLlmwncTb6erqwqmnnorHH38cfX19GB8fR1NTU76XRURERERERES7hCzLGB8fV8ZIjI+PJ32uSqVCa2urEgzX1dXltatWhGUEhxeVmcKhkSVASq0vUKVXQ99hVbqFdU0WqDSFGQqvLC3GuoN7o5vL9fUi6PeldzGVCjUtbQmby1U1t0Ct1mR20UVgtTt4bW5wNBD2TPmRiTZVQ5kW1c2xMLjFgupmC6qazNDp+bPYqaINiQHg0EMPxeOPPw4gOp6CITERERERERFRaVtZWYHb7VaCYb8/+Vm8ZWVlcDgc6O7uht1uh8lkyuJKtyYiMkKjS9FO4X4PgkNLQCTFrlitGob2chi6ouMj9C3lUGnV2VlwFkmRCGaHB5UO4Ym+A1iYSD7wP5ipvCIaCDt60Ni9Bw32bhjKyjK44uIQ3x2sbCg3toygb+fdwVABtroyVDdb1jqEWyywVBoKesTJblbUIXGRTtIgIiIiIiIioiQJITA9Pa2EwsPDwynlBY2Njcqmc01NTVCr8xOiCkkgPL6MQGymcGjQCxFKMRTWqKBvLVc2mjO0VUClK7xQeHl+DhOuAxiPjY6Y6u9DJJT8aJB4ao0Gte1dCZvLWesbGETGEULA5wkqncGroXCmuoP1Ji2qm82oaSlf6w5uZndwrhV1SLx//37lMbuIiYiIiIiIiEpDKBTCwMCAEgx7vd6kz9Xr9bDb7XA6nXA6nSgvL8/iSjcnZIHwhC/aJez2IjjghQhKqV1EDehb4jqF2yugLrDgLRIKYWrAHTdL+ACW5mbSvl55dS0aHd3K6Ii6Ljt0ekMGV1zYImEJ8+O+hDA4k93B1loTauJGRVS3WFBeZWQovwsUbUjc39+PJ554AkB0PnFzc3OeV0RERERERERE2TI/P6+EwgMDA5Ck5APVmpoaJRRua2uDVpv7uEQIgci0H0G3FwG3B6EBL+RUN/VSAbomS3SjuS4bDB0VUBsLJ/oRQsA7PZWwudz04ABkKb2AUqs3oL7LEQuEo+MjyqtrMrzqwhTtDg7FwuClWBjsi3YHyztvD9YbNcomctWxcRHVTRboDIX1JEUpKZxKEef//t//i/e///2bFu2pqSl89KMfRTgcBgB85jOfyeXyiIiIiIiIiCjLIpEIhoeHlWB4dnY26XM1Gg06OzuVYLiqqiqLK92YEAKR2RVlo7lgvxfycjjl6+gaypROYUOnFeoyXRZWmx2hFT8m3a6E0REri8l3fR+ssrEpOkc4trlcTVsHNHkI/HebSFjCwoQ/rjN4CXOjPgR8qf++rbPaHXzQZnLl1ewOLjQF+SflyiuvRDgcxllnnYWjjz4aHR0dMJlMmJ2dxdNPP4277roLc3NzAIDjjjuOITERERERERFREVhaWlJCYbfbjVAolPS5VqtVCYU7Ozuh1+uzuNKNReYD0UDY7UGg3wt5Mfn1r9LWmqIzhWOhsMaS+68jHUKWMTc2Ere5XC9mR4aQ7lBbvakMDY5uNHVHA+EGezfKKqwZXnVhEULA7w0lzA6eXZ0dnMHuYGUzuWYLqprM0BdQtzptrmB/iuPj47j99ttx++23b3rMWWedhR/96EcwGDhbhoiIiIiIiKjQyLKMsbExJRiemJhI+lyVSoW2tjZl07na2tqcdzZGvMFYKBztFpY8qW+upq02rm0012WDpqIwQmH/oheTfb2YcL2FcdcBTPb1IrTiT+9iKhVqWtuVsRFNzj2oamqBKk+bCO4GUljG/IQvcTO5sWUE0uhG34i11pTQGVzTwu7gYleQIfE999yDZ555Bi+99BL6+/sxOzuLxcVFWCwWtLa24phjjsEFF1yAo48+Ot9LJSIiIiIiIqIUrKysoK+vDy6XC319ffD7kw8Wy8rKlG5hu90Ok8mUxZWuJy2F1jaa6/ciMruS8jU0NsNaKGy3QWvb/Y1vUiSC2eFBZWTEhOsteCaTD/QPZqqwKmFwtEvYCb2pLIMrLhxCCPgXQ2ujImJh8MJkZrqDdQbNWmdwLBRmd3BpKsif+AknnIATTjgh38sgIiIiIiIioh0SQmB6ehq9vb1wuVwYGRmBSGEEQVNTkxIMNzU1QZ3D7lLJF47OFI4Fw5Hp1Dtl1eV6GO1WJRjWVO3+bs2l+dlYGBwNhKfcfYiEUx+dAQBqjRZ1HZ3ROcKObjR2HwJrXf2u/x5kgxSWMT/pi80NXguFM9UdXFFjRE1LecKGchXVRqjUpfe9pvUKMiQmIiIiIiIiosIVCoUwMDCgBMOLi4tJn2swGGC32+F0OuFwOFBeXp7FlSaSVyIIDqxtNBee9AEpNnOqzTqlS9hgt0JbY9rVgWg4FMR0vzs6R9h1AON9B7A8l/wmgQcrr6lFo3MPmmKjI+o67NDmYT50vkW7g5eUDuG5sWUsTPghZ6A7WGvQoKbZHNchXI7qZnYH09b420FEREREREREWTc/Pw+Xy4Xe3l4MDg5CkqSkz62pqUF3dzecTifa2tqg0WiyuNI1cjCC4OBibHyEB+Gx5ZRDYZVJC0OnFQa7FUa7Ddr6sl0bCgsh4J2aVOYIT7gOYGaoH3IKP6t4Wr0BDXanMku40dEDS1V1hle9u0kRGQur3cFx84NXljLXHVzdvDYqoqbFgopqE7uDKWUMiYmIiIiIiIgo4yKRCIaHh5Vu4bm5uaTP1Wq16OzsVMZIVFZWZnGla+SQhNDQYnSEhNuD0OgykGJnp8qgiYbCsW5hXaN51wZ2Qb9f2Vxuoi8aCq8sJd/VfbDKxuZYIBydJVzT2g6NtnSiJ/9iSAmDZ8eWMDfqw8KkD7KUme7g6iZzwkZy1c0W6E2l8/2l7OJvEhERERERERFlxOLiIlwuF1wuF/r7+xEKJT+n1mq1Kt3CHR0d0OdgBIGIyAgNLyIQ6xQODS8BKQZ6Kp0a+o4KZaawvrkcKs3uC4VlWcL86IjSITzhegtzYyNACvOf4xnKzGhwdCujIxoc3TCVV2R41btTtDvYr3QFK93Bi+nNZT5YQndw7L/WGnYHU3YxJCYiIiIiIiKitMiyjLGxMaVbeHJyMulzVSoV2tralGC4trY262MYhCQjNLqszBQODi4CETm1i2hVMLRVKDOF9S3lUGlzt1lesvyL3oTN5SbdvQitrKR1LZVKjZrWNjQ4e9Dk3ING5x5UNTVDlcNNAvNF6Q5e3UhubBkLExnqDtar14XB1c0WGNgdTHnA3zoiIiIiIiIiSprf74fb7UZvby/6+vqwkkLwaDab4XA40N3dja6uLphMpiyuFBCyQHg8GgoH3F6EBr0QoRRDYbUK+tZyGOyxzebaKqDS7a5wVIpEMDM0oGwuN+E6AM/URNrXK7PalJERTc4e1Nud0Buz+7PKN0mS4Zn0KxvJrYbC/gx1B5dXG5UxEaujIqy17A6m3YMhMRERERERERFtSgiBqakpZdO50dFRiBRGFDQ1NSndwo2NjVBnsftUyALhSZ8yUzg44IUIpLjpmgrQtZTDGJsprO+ogFqfm43ykrU0N5uwudx0fx8i4fTCTLVGi/pO+9rmcs49qKit27Wb62XCylIoYUzE7GgWuoNX5wazOzjnRCgEVQ7G1RQb/oYSERERERERUYJgMIiBgQFlvvDiYvKbmRkMBjgcDjidTjgcDlgslqytUwiByLR/LRTu90L2R1K7iArQNZph6LLB4LDB0FEBtXH3xCXhYABT/X0JoyOWF+bTvl5FbR0aHWuBcF1HF7RFGqgldAevjovIZHdwlTE6KiJuM7mKWhPU7A7OOnllBaHhYYQGhxAaGkJocDD636Eh6Jub0fHIw/leYsHZPVWPiIiIiIiIiPJmbm5OCYUHBwchScl34NbW1sLpdKK7uxutra3QaLLTeSuEQGQusDZT2O2BvBxO+Tra+jIYYzOFDZ1WqMt0WVht6oQQ8EyOY8J1INYl/BZmhgYg5BRHZMRoDQY02J3K6IhGRw8slVUZXvXusLIcUkZFrI6LmJ/wQY5koDtYp0ZVswU1zWZUt5THQmEzDLvk96ZYyaEQwiMjsRA4MQiObDH/PBROvSYQQ2IiIiIiIiKikhSJRDA0NKQEw3Nzc0mfq9Vq0dnZqYyRsNls2VvnQiwUdnsR7PdA8qbeBaqtNcEQGx9h6LJCY9kdnbNBvw8Tfb0Js4QDy0tpX6+yqQVNcWMjalrboc5SYJ8vkiTDM+WPhsFx4yL8afxebMRSZUjYRK6mxQJrXRm7g7NERCIIj42tdQOvdgYPDSE8Pg6k8QSJ5PUisrAAbWVlFlZcvBgSExEREREREZWIxcVFJRTu7+9HKJR8sGaz2ZRu4Y6ODuh02emilLxBBOLGR0jzgZSvoakywtBlVbqFNRWGLKw0NbIsYW50JCEQnhsbAVKY7xzPYDZHO4Qd0c3lGhw9MGZxtEc+rCyHlBERq4FwprqDNTo1qpvMCeMiqpstMJrZHZxpQpYRmZhQwt+EMHh0FIikOCImCeGhIYbEKWJITERERERERFSkZFnG6OioEgxPbvES7YOp1Wq0tbUpwXBNTU1WNjOTlkNrM4XdXkRmV1K+hsaqj3UJR0NhbaUx4+tMld/rwUTf2hzhiT4XwoHUvzYAUKnUqGnviHUJR0dHVDY0QZXFTQBzSZZkeKZWMDu2FAuFfZgbXYIvU93BlYaEzmB2B2eeEAKRmZm1kRCx/4aHhhAaGoZI4QmpVGgbGqBvb4++dXRA3xF73NaWlfsVM4bEREREREREREXE7/ejr68PLpcLfX19WFlJPpg0m81wOp1wOp2w2+0wGjMftsr+cDQU7vci4PYgMuVP+Rpqiy4aCtutMHbZoKk2ZiXATpYUCWN6sD9hcznv9FTa1yuz2tDo3IOm7mggXN/lgN5oyuCK8yfgCyuzg2dHlzA35sP8uA9SJL25y/E0WjWqmswJG8lVt7A7OFOEEJA8nrhO4EFlXnB4aAiyP/U/y8nQVFdHA+CDw+C2NqhNxfHnYjdgSExERERERERUwIQQmJycVLqFR0dHIVIYYdDc3Kx0Czc0NECd4e5UORBBcMAbnSns9iA86QNSnBagLtOuzRS226CtNeUtFBZCYGluRgmDx10HMD3ghpTmZlkarRZ1nXalQ7jJuQflNbV5Db0zQZZkeKZXlE3kVsdG+DzBjFzfbDMoIfDqDGFbnQlqTXF0V+eTtLi4tllc/IiIoSHIi4tZuafaao0FwLEguL1DeV9TXp6Ve1IihsREREREREREBSYYDKK/v18JhpeWkt/szGAwwOFwwOl0wuFwwJLhObZySEJocBFBtwcBtwfhseWUQ2GVUQND51oorKsvgypPowHCgQCm+vswvjpLuO8AfAvzaV+vorY+FgZHR0fUdnRBm6X5zrkS8IUTwuC5sWXMjfsghTPXHRwfBtc0W2C0FPb3LN9kvz8uAE4MgqX59H+/t6IuK4Ouox2Gjg7oYl3Bq485Pzj/GBITERERERERFYDZ2VklFB4cHIQsJx/A1dbWoru7G06nE62trdBoNBlblwhLCA4tIdgfnSkcGlkC5NRSYZVeA0NnhTJTWNdkyUsoLITAwsR4wuZyM8MDECl8r+PpDEY0OLrR6OhGQ6xL2Gwr3DBMlgW80/61cRGxUHh5IUPdwVY9qlvKYx3CZtQ0l8NWz+7gdMnBIMLDw4lhcCwIjkxPZ+WeKoMhbixE3HiI9nZosjTXnDKDITERERERERHRLhQOhzE0NKQEw/MpdPdptVp0dXUp84VtNlvG1iUiMkIjS9GN5vq9CA4vApEUW4W1ahg6KmCwW2HoskHfYoEqD0FgwLeMyb7euM3lehFYTr4r+2BVza3KyIhGZw+qW9qgzmAgn0sBXzjaETy2rITCGe8ObjajpqUc1c3RTmGTRZ+BlZcWEQ4jPDaG4OBgbJO4IWVmcHhiAkhh9EzSdDroW1sTw+BYEKytry+aDRVLDUNiIiIiIiIiol3C6/UqoXB/fz/CKcy5tdlsSrdwR0cHdBkaYSAkgdDYUnSmcL8HocFFiFSDQo0K+rZyGO22aCjcVg6VNrdBkixJmB0ZUkZGTLgOYH5sJO3rGc0WNMZGRjQ6e9Dg6IbRnNnRHbmQ0B08ttYhvDyf6e7gaBBc3WxBZX0Zu4NTICQJ4YnJuI3iov8NDw4hNDYGRCKZv6laDV1zc0In8OqGcbrGRqi0jBSLDX+iRERERERERHkiSRJGR0eVYHhqairpc9VqNdra2pRguCZDL+UWskB4whftFHZ7EBxchAhKqV1ErYK+xRKbKWyFvq0Can1uO2p9noW1DmHXAUy6XQgHA2ldS6VWo7atMxYKR4PhysamgnvpfNAfjnUG+zA3uoTZ0WXMj/sQyUB3sFqrQlWjeW1ucCwQNpWzOzgZQghEpqdj84EH4zaNG0R4eAQiFMrKfbWNjWsdwXFBsL6lBSo9f3alhCExERERERERUQ75fD709fXB5XKhr68PgUDywaXFYlFGSHR1dcFoNO54PUIWiEz7EXB7Yt3CXohAip2JKkDXbIGhywaj3Qp9hxVqQ+5C4Ug4jJnBfky43sJ4bJbw4kzygfvBzLZKpUO4ybkH9V0O6DLwvc4VWRZYnFnB7OgyZkeXMDfmw+zoUsa6g8useiUEjs4PtsBWXwYNu4O3JISAND+/bj5waGgIoeFhCL8/K/fV1NYkhsDt7dC3d0Df1gq1yZSVe1LhYUhMRERERERElEVCCExOTqK3txculwujo6Mpnd/c3Kx0Czc0NEC9w3mfQghEZlaUjeaC/R7IvtRfrq5rNMPQZY12C3daoTblJmIQQmBpdgbjyuZyb2F6wA0pzZfca3Q61HXa0ejoQVN3NBgur64tmC7h4EokOiJidG1+8Pz4MiKhzHcHV7dYUMPu4G1JXu9a+DsQFwQPDkJeXs7KPTU227r5wLpYMKyxFN4YFMo9hsREREREREREGRYMBtHf368Ew8spBENGoxF2ux3d3d1wOBwwm807Wku0ezGAoNuLQCwYlpdSf+m6tq4MBrsVRrsN+k4rNObMzDzeTjgQwGS/K2F0hM+zkPb1rPUNaHSszhLuRm17F7QZmt+cTUIW8Ma6g+M3k1uaT2+ExsHKKvRKV/Bqh7Ctgd3Bm5F9voTwVxkPMTgIyePJyj3VZvO6+cCrHcKaDG5OSaWJITERERERERHRDgkhMDc3B5fLhd7eXgwNDUGWk+/krKurU7qFW1paoNHsbFRDxBMNhYNuD4L9Xkie1McMaGtMa53CXVZoctA9KmQZ8xNj0RnCfQcw7jqA2aFBCJFeV6zOaEKjw6mMjmh09KDMasvsorMguBJZ20RudUO5sQx1B2tUqNxgdnBZBbuDDyYHgwgPDyM4OIjwQZ3BkZmZrNxTZTRuPCO4owOaqqqC6XCnwsOQmIiIiIiIiCgN4XAYQ0NDSrfwwkLy3a06nQ6dnZ1Kt7Bth12A0mJIGR8R6PdAmku9u1RTaYhtNGeDscsKjdWwozUlY2V5CZN9vUqH8ETfAQR9vrSvV93Stra5nKMH1a1tUKtzu2FeKoQs4J1dWTcuYimNn99GTBWJs4NrVmcHa9kdvEqEwwiNjibMBw4PDSE4OIjIxCQgROZvqtNB39qaOCM4FgZr6+qg2uFIGaJ0MCQmIiIiIiIiSpLX61W6hQcGBhAOh5M+t7KyEk6nE93d3Whvb4duByMOJF94baaw24PIzErK19BU6GOhsBWGLhu0VdndmE2WJMyODCmB8LjrABbGU5vPHM9oKV8LhJ170GB3wmjevbNXQ4Ho7ODVIHh2dBlz4z5EgtKOr61Wq1DZWBabGVyO6hYzalrK2R0cIyQJ4YmJxPnAQ9EREeGxMUDa+c9gHY0Guubm2EiIjrXO4M4O6BobodrhqwWIMo0hMREREREREdEmJEnC6Oio0i08PT2d9LlqtRrt7e3KGInq6uq0Xyou+8MIDizGxkd4EJ70p3wNtUW3Nj7CboO22pjVl677PAsJm8tNul2IBFMfewEAKrUate2daHTuQVMsGLY1NO3Kl94LWWBxbgVzoz7Mji4pHcKLsxnqDi7XKZ3Bq+MiKhvMJd8dLGQZkenpxPnAsRnB4ZERiBSe0EmaSgVtYwMMHR3KJnFKV3BzM1R6hvRUOBgSExEREREREcXx+Xzo6+tDb28v3G43AoHkwz2LxQKn0wmn0wm73Q6DIb2RDXIgguDgojJTODy+DKT4qnd1mRaGTisMjuhMYW1dWdZC1Ug4jOkB99rmcn0HsDiTfKB+MEtlFRq79yizhOs77dAZstvpnI5QIIK5MV/cRnJLmBvzIZyh7mBbQ9laGBybIWzOwRiQ3UoIAWlubm00xODQ2uPhYYgU/qymQltbm7hRXGxEhK6tDeo0/4wT7TYMiYmIiIiIiKikCSEwMTEBl8sFl8uF0dHURiC0tLQoYyQaGhrSCmLlkITQ4KIyQiI0tgSkuEeZyqCJdgp3RUdI6BrMUKkzHwoLIbA4M4Vx1wFMug5gwnUA04NuSJFIWtfT6vSo63Kg0dkT6xLeg/Lqmgyvemei3cGB6OxgZUO5pYx1BxstuoTO4OpmC6oazNDoSrM7WPJ4EjqB48NgeQczq7eiqayMmw8cNyu4rQ1qszkr9yTaTRgSExERERERUckJBALo7+9XguHl5eWkzzUajXA4HOju7obdboc5jQBJhGUEh9c6hUMjS4CUWquwSq+GvsMKY2ymsK7JApUm86FwKLCCyT6X0iE84ToAv9eT9vVs9Y1odPagwdGDpu49qG3vgEab/nzmTAsFIpgf98U6g1dnBy8jHNh5d7BKrUJlQ1nCRnLVLRaUVeh35eiMbJKWfQgNDSJ8cBg8NATJ48nKPdUWy7qN4lZHRGis1qzck3JHCIHl8DIWQ4totjTnezkFhyExERERERERFT0hBGZnZ5VQeGhoCLKcfKtufX290i3c3NwMTYqbTomIjNDokrLRXHB4EYikOD9Cq4aho0KZK6xvsUClyWynqZBlzI+PKZvLTbjewuzIMIRIsa05Rm8yocHerYyNaHT2oKxid4RxQggszQWUmcGrm8ktprEJ4EaU7uDmuO7gxtLqDpYDAYSGhqObxA3FjYYYGoI0M5uVe6pMprXZwAeFwZqqqpIL44uFEALeoBdT/ilM+acw6ZuMPvZNKR+b8k3BH/GjvaId//Xh/8r3kgsOQ2IiIiIiIiIqSuFwGIODg0owvLCwkPS5Op0OXV1d6O7uhsPhgDXFLkMhCYTHlxFwexB0exAaXIQIpxi0alTQt5bDYLfBaLdC31oBVYYDxpXlJUy6DmB8dXO5vl4E/Wm+nF+lQnVzqxIINzl7UNXSCrU6tUA9GxK6g1fHRYxlpzt4dX5wmbU0uoNFKITQ6FjcnOC1IDgyMZGVe6r0eujaWqFvjxsP0R4Ng7V1dSXxfS8mspAxH5hPDH0PCn+n/FMISsltfDnlm4IQgr8HKWJITEREREREREXD4/EooXB/fz8iKczJraqqUrqF29vbodUm/7/MQhYIT/iUmcLBAS9EqpuXqQF9S7kyU1jfXgG1PnMBqyxJmBkeXNtcznUACxNjaV/PVF4R7Q52ROcINzicMJTld3brwd3Bq+MivLMrKW/8txGjWZewiVxNiwWVjWXQ6vIfhGeTkCSEx8cTN4qLBcLhsTEgha78pGm10Dc3Q9fRDkNHB3RKd3AHdI0NUKXYzU/5IckSZldm1wW+CSGwfwoROb2Z5hsJSAEshhZhNeyOVy0UCobEREREREREVLAkScLo6Ch6e3vhcrkwPT2d9LkajQbt7e1KMFxdXZ30uUIIRKb8CLo9CPR7Eez3QqykGHKoAF2TBYbYTGFDZwXUhsz9b/ry/JwyQ3jCdQCT/S5Egsl14h1MrdGgtr0rYXM5a316m/RlSjgoYW48bm5wLBQOZag72FZfFhsTYUZNSzlqWoq7O1jIMiJTU+vmA4eGhhAaGQHC4czfVKWCrqkprht4bcM4XXMzVLrdM6ua1gtLYUyvTG/a/Tvpn8TcyhwksfM/k6ma9k8zJE4RQ2IiIiIiIiIqKD6fT+kWdrvdCAQCSZ9bXl6uhMKdnZ0wGAxJnSeEQGR2Jdol3B/dbE5eTj000zWYE0PhssyEYJFQCFMD7rVZwn0HsDQ7k/b1LFXVaFLmCO9BXZcdOn1y36tMW+0OXp0bvDoqwjuTme5gg1mbMDu4pqW8aLuDhRCQZmcTx0KshsHDwxAp/FlKhbauLm7DuLgguLUV6iT/DFJuBSIBTPunt5z/OxeYy/m6VFChxlSD+rJ61JvrE/8be1xXVgeDhr9XqWJITERERERERLuaLMuYnJxUuoXHxpIfkaBSqdDS0qIEw/X19Ul3gkbmA9FN5mLdwvJiKOW1a+tMyvgIQ6cVGos+5WscTAgB7/RUwuZy04MDkKX0Xq6t1elRb3esbS7n6EF5dc2O15mOcEjC/JgPs6NLShg8N+ZDKNUu7Q2oVICtvkwZExENhcththVfd3BkYQHhoSEEY0FwOC4Mln1pzpzehqaqKqETWAmD29qgLivLyj0pPf6wH5P+yS3n/3qCnpyvS6PSoLasNiHwXf1vQ1kD6svqUVNWA52aHebZwJCYiIiIiIiIdp1AIAC32w2Xy4W+vj4sLy8nfa7JZILD4YDT6YTD4UBZkgFVxBuMhcJeBN0eSJ7URzNoqo0w2m0wdEW7hTUVOw+FQyt+TLpdmHAdwHgsGF5Z9KZ9PVtDY9zmcntQ09YBTQrzlzNBCIHlheBaZ3BsXIRn2p+Z7uAybeJGci0WVDWaoc3gjOd8k5aXY8Hv4EFzgocge9P//diKuqIiMQiOGxOhqajIyj0peUIILIWXtgx/p3xTWAov5XxtOrUOdWV1iaHvQR3A1cZqaHbBRpeliiExERERERER5Z0QArOzs0q38PDwMOQUNsOqr69Hd3c3nE4nWlpaoFartz1HWgqtbTTn9iAyl/pL7TVWQ7RL2G6DwW6D1razlzgLWcb8+KgSBk+4DmB2ZAgQ6SWnelMZGhzdaHT0oKl7Dxoc3SiryO2czkhIwty4L2FcxNzYMoL+DHYHr24kF/uvpdJQFN3B8soKQsPDayMh4sJgaXY2K/dUlZUlzghuX+sM1lRWFsX3tRAJIeAJehICX2UMRNzHViIrOV+bUWNcF/jGP24wN6DSwN+d3Y4hMREREREREeVFOBzG4OCgEgx7PJ6kz9XpdLDb7XA6nXA6nahIootR8oUR7I/NFHZ7EJlOPUxRl+thsFthjI2Q0FQZdxR8rCwtJmwuN+E6gNCKP72LqVSoaW2PzRGOdglXNbVAlURgngmr3cHKmIjV7uApf7oZd4LV7uD4cRFVTWboCrw7WA6FEB4ZSZwPHAuDI5OTWbmnSq+Hvr1tbTZwezsMHR3QtbdDW1vLMC/HJFnCfGA+YcO31cerc4GnfFMIyamPvNkpi86ybvSD0hFcFg2AK/QV/J0pAgyJiYiIiIiIKGc8Ho8SCg8MDCASSb6btLq6WgmF29vbod1mRIK8EkFwINolHOz3IjyR+ixWtVm7NlPYboO2xpR2GCJFIpgdHlTmCE/0HcDCxHha1wIAU4VVCYMbnT2o73LCkKPZr5GQhPkJ37pxEZnoDoYKsNWVxW0kV/jdwSISQXhsbMMgODw+DqTQNZ80rRb6lpa18RCrncEdHdA2NOTsyYNSF5EjmF2Z3XTztyn/FGb8M4iIDPzZSZHVYF234dvqGIiGsgbUldXBorfkfF2UHwyJiYiIiIiIKGskScLIyIgSDM/MzCR9rkajQUdHhxIMV1dXb3m8HIwgOLgYHR/R70F4bDnl+bYqozY6T9huhdFug7auDCp1esHk0vxsXIfwW5hy9yESTq8TUK3RoK6jK2FzOWt9Q9ZDUyEEfJ7o7ODVIHhuNHPdwXqTNm4TuVh3cHNhdgcLWUZkYiJuNvDgWiA8Ogqk8IRI0lQq6Jqb4+YDr4XBuuZmqHI8a7rUhKRQQqfvRvN/ZwOzkEUWngTYRpWxKqEDuMHcsC4QNmlNOV8X7V6sFkRERERERJRRy8vL6OvrQ29vL9xuN4LB5DeAq6ioUELhzs5OGAybz/gVYQnBoUVlpnBodBmQU0suVQYNDJ3WWDBsg67RnFYoHA4FMd3vjnYIuw5gvO8AlufSnxlbXl2rjI1odO5BXWcXdPqdzTveTkJ3cCwMnh1bRtCX6e5gM6pbylHdbEb5Dsd15JoQApHpmehmcfHdwENDCA2PQKTwu54KbUPDxkFwayvU+p1vjkjrrURWogFwXPh7cDfwfGA+5+tSq9SoMdYkjH84eBZwXVkd9Br+XlBqGBITERERERHRjsiyjImJCaVbeHw8+REKKpUKra2tSjBcX1+/aWgoIjJCw0sIuD0I9nsQGl4CpBRDYZ0a+o6K6EZzXVbom8uh0qQWUgoh4J2axITrLYzHOoVnhvohS1JK11ml1RtQ3+VQRkc0OLtRXlWT1rWSEd8drITBmewONmoSNpGraSmPzg42FEZ3sBACkscT1wkc1xE8NAThT3Nm9DY0NTWJQfDq5nFtbVCb2PGZSb6wb23270YdwP4peIPenK9Lq9Kitqx2XfjbYG5Q3q8x1UCrZpxHmcffKiIiIiIiIkpZIBCA2+1Gb28v+vr64PMlP+/XZDIpobDdbkfZJnN0hSQjNLoc22jOi9DQIkQ4xZdta1UwtMVCYbsV+pZyqLSpzWIN+v2YdPeuzRJ2HcDK0mJq64hT2disdAg3OntQ09oOTZbGAkTCEhYm/JgdXVJC4dnRzHUHW2tN68ZFlFcXRnewtLS0bj7w6mN5Mf2f71Y0Vit0HQcFwe3RzmCNhbNfd0oIgcXQ4lrHr38qsRs49t/l8HLO16ZX66Mbvh3UAbw6A7i+rB5Vxipo1IXxZAoVH4bEREREREREtC0hBGZmZuByudDb24uRkRHIKWy21dDQgO7ubjidTjQ3N0O9waZZQhYIjy8rM4WDA4sQoRS7czUq6FvLlfERhrYKqHTJh8KyLGF+dETpEJ7sO4DZ0WGk22JrKDOjwdGNRuceNDl70ODohqm8Iq1rbSXaHRyKhcBLmBvzrXUHpziCYyMHdwdXt1hQ3WTZ9d3Bst+P0PBwNAw+KAiW5rMzKkBdVqaMhNC1t8MQC4N17e3QVlZm5Z6lQBYyFgILm8//jT0OSIGcr82kNa0b+aDMAI69bzPYCuLJEypdDImJiIiIiIhoQ6FQCIODg8oYCa83+Zdf6/V62O12OJ1OOBwOVFSsD0aFLBCe9CHYH50pHBzwQgRSDIXVgL65HAa7FYYuG/QdFVCnsOmZf9GbsLncpLsXoZWV1NYQo1KpUdPahsbYyIgm5yGoamqGaoNAfCeksLw2Ozg2N3hudBkBX3jnF1cB1hpTbEzEWofwbu4OloNBhEdG1m8WNziIyPR0Vu6pMhigb2tLmA+82hmsqanZtd+r3UqSJcwF5tYFvvHjIKb90wjLGfgdT1G5rnzL+b/15nqU68r5M6eCx5CYiIiIiIiIFAsLC0q38ODgICKR5McSVFdXK93CbW1t0B40QkEIgcjMSjQQdnsQ7PdC9qc49kAF6BrNsfERNhg6KqA2Jve/tlIkjJmhQWVkxITrADxTE6ndP06Z1RYdG+GIjo5osDugN208OiMdQgj4vaGEMRFzY8tYmMxMd7DOoFkbExELhauazNAn+f3MJREOIzw2huDgYHSTuKEhpTs4PDGRdqf3lnQ66Fta1m0Wp+/ogLa+PuPhf7EKy2HM+mejG7/FzwCOC4Rn/DOQRHozvXfCZrBtGf7Wl9XDrDPnfF1E+bD7Kj8RERERERHljCRJGB4eVoLh2dnZpM/VaDTo6OhQguGqqqqEzwshIM0FEIjNFA72eyAvpd4JqK0vgzE2U9jQaYW6TJfUeUtzswmby0339yESDqV8fwBQa7So77THZglH3ypqN99kL1Wr3cGrYfBqIBxYzkznZEWtaW0judh/K6qNUKl3T/ejkCSEJyajG8XFzQkODw4hNDYGpPCERdLUauiamxM3jOuI/lfX2AhVlmZFF4ugFEyc+Rsf/sb+O7syC4EshPjbqDHVrAt+68rqlDEQdWV1MGqNOV8X0W7FakdERERERFRilpaW0NfXB5fLBbfbjWAwmPS5FRUVcDqd6O7uRmdnJ/R6fcLnIwuBWKdwNBSWvKmHstpa09pM4S4rNBb9tueEgwFMDbgTNpdbnp9L+d6rKmrrlA7hRmc36jrs0Oq3X8d2hBDwL4bWRkXEwmDPpB9yxrqDzahuKVfGRVQ3757uYCEEItMzsQB4cK0jeGgQ4eERiFB6If52tI2NiUFwe3s0DG5pgSoDP9di5A/7owHwJuHvlH8K84HszHXeilqlRo2pBg1lDQmhb3wHcJ2pDjpNck8mEVHU7vhbgoiIiIiIiLJGlmWMj4/D5XLB5XJhfHw86XNVKhVaW1uVYLiuri6he1byBhFYnSnc74U0n/qmUZoqIwxdVhgdsVC4wrDl8UIIeCbHMdHXqwTCM0MDkKX0Xq6uNRjQYHfGAuHo+AhLZdX2J25DiiR2B8/FAuGVNLqpN1JRY1TGRdS0lKO6xYyKalPeu4OFEJDm5+MC4LhN44aHIfz+rNxXU1OzNhKivWMtEG5rhdpkyso9C5EQAsvh5Q27f+PHQSyFlnK+Nq1au9b9u8Hoh/qyelSbqqFVM84iyjT+qSIiIiIiIipCKysrcLvdSjDsTyGYKysrg8PhUDadM8UFbNJySOkSDrq9iMymvsmbxmqIjo6IjZDQ2rZ+yXfQ70sIhCf6ehFYWkz5vqsqm1rQ6OhGU/ceNDr3oKa1HWpN8pvdbSTaHbykdAbPjS5jYSIz3cFagwY1zea4+cHlqG4yQ2/K7//SS15vNPiNmw+8+r68lJ2AUWO1KiMhdO3tMHR0QBfrENZYLFm5ZyERQsAb9Crh76Rvcl3375RvCv5IdoL6rRg0hm3n/1YZq6BWcdYzUT4wJCYiIiIiIioCQghMT08rofDw8DBECpt5NTY2wul0wul0orm5GerYplySL4yVv8wiEOsUjkylHi6py3UwdEUDYaPdBk2VcdNZvrIsYW50JGFzubmxkbQ3JjOYzbGxEbHN5RzdMFnK07oWEO0OXpj0Y250CbNjvuh/RzPfHby6kVxNiyWv3cGyz7cWBA8NITSwFgRLCwtZuafaYokbDRE3HqK9HRqbLSv3LASykDEfmN909MPq46CU/PiYTDFpTWtjH+JC3/iPWQ3WjM3wJkogy0DQC/jngRUPEAkAHcfme1UFhyExERERERFRgQqFQhgYGFCCYa/Xm/S5er0edrtdCYbLy6PBqRyIIPjWAoKxERLhSR9S3XNKbdZGQ+HYXGFtrWnTcMjv9WCi78DaLOE+F8KB1LuTAUClUqOmrV0JhBudPahqbIZKnV5non8xlDA3eHZ0GQuTPshSZrqDq5vMa3ODYxvK5aM7WA4EEBoejm4SNzSE4OBgdLO4oSFEZmayck+V0bgWBMdvGNfeDk11dcmFiRE5gtmV2XUBcMJMYP8UInIWNu/bRrm+XAl+G8oaNuwGtugsJfczoywQAgj5gJX5WOC7EPfYs/7jKwvR9wMeQMhr1ymrBr7Un6+vomAxJCYiIiIiIiog8/PzSig8MDAAKYU5vDU1NUoo3NbWBq1WCzkkITS4CM/zA9FQeGw55VBYZdQkhMK6+rINO1+lSBgzgwMYVwLhA/BOTaZ2szhlVlvCHOEGhxN6Y+qzZyVJhmfSj9mDAuGVxcxsopbQHRz7r7Umt93BIhxGaHQ0YT7waiAcmZhMu1N7Szod9K2tCZ3Aq2Gwtq4u7fC+0ISlMGZWZhJn/66OgYh9bHZlFpJIb6b2TlQaKrcc/1BfVo8yXVnO10VFIBLcIOg9+PHC+tBXykDdXVmIdheXSI3JFIbEREREREREu1gkEsHw8LASDM/OziZ9rkajQWdnpxIMV1VVQYQlBIeW4HtyFEG3F6GRJSDFubkqvQaGzoroTOEuK3RNlnWBpxACS3Ozax3CrgOYGuiDFE5vLINGq0Vdp10JhZuce1BeU5ty96J/MbS2kdxqd/BEhrqD9ep1YXB1swWGHHUHC0lCeGLioPnAsUB4dAxIc2O/LWk00DU3rwXAq2FwZwd0jY1Q7XDW824XiASUbt+D5/+ufnxuZQ4i1WdedkgFFWpMNeuC37qyuugYiLIG1JnrYNBsvUkkEaRItFN328B3tbM39jic+7nXChEbP2GqzN8aChBDYiIiIiIiol1maWlJCYXdbjdCoeQ7qyoqKtDd3Q2n04nOzk7o1FqERpYQfN2DafcoQiOLQCTFUFinhr69QtloTt9sgUqT2KEVDgQw1d+XMDpieWE+pfskfB21dWh07kFTbHREbUcXtDpd0ufHdwfPxQXC/gx1B5dXGZW5wasbyllrs98dLGQZkenpdRvFhYaGEB4ehkgzhN+SSgVtY8P6ILi9A/qWZqj0+szfcxfwh/2Y9E9uOf/XE/TkfF0alQa1ZbXru3/jZgDXlNVAp07+zwuVACGAgDcu3F3YPvT1L0TD1kKiNQKmqujYCobEKWFITERERERElGeyLGN8fBy9vb1wuVyYmJhI+lyVSoW2tjalW7i2uhbh8WUE3V54nz+A0OAiRFje/kLxNCro2ypgtEfHR+hby6HSroXCQgjMj48lbC43MzwAIad4nxidwYgGuzNhlrDZlvz/3K8shTA7tpwwP3h+wgc5xTB8I1qdGlXNFtQ0m1HdUh4NhVuy2x0shIA0N7c2GmJwKCEMFoFAVu6rra1VuoD17e3QrYbBbW1QG41ZuWc+CCGwFF7aMvyd8k1hKbyU87Vp1dq18Hc19D1oHES1sRoadXF3aNMWhIh26SqjGuYPGtuwwQiH1ffzMNIkbSpNNOQtq4r+11QV93j141XrH+s5HiVdDImJiIiIiIjyYGVlBW63G729vejr64Pfn/xLc8vKypRQuKuzC9oFKbrR3H/PYGLADRFKMQhQq6BvLY/NFLbC0F4BlW4thAr4ljH51964zeV6EVhOP0CrampZmyXs7EFNazvUSYwlWO0OVsZFjC5jdmwZfm/2uoMrak1QZ6k7WPJ4EmYEK2Hw4CBkny8r99RUVq7bKE7f0RENgs3mrNwzl4QQWAguREc9bDL/d8o/hZVIepsj7oRRY9x4/m/c40pjJdQqzlEtGZHQBmFuEpu2ScF8rzw1RusGQe/BjysTP26oALgZYk4xJCYiIiIiIsoBIQSmp6fhcrnQ29uLkZERiBQ2C2tsbER3dzccdgfqdZUIur0Ivu7FwqNvQgQiqS1GBeiaLTDYbTB2WaHvsEJtiIa0sixhdmQYE64DGI91Cs+PjaR2/ThGswUNzh40OrrR5NyDBkcPjBbLtuetLIfWRkXEwuCMdgc3mZWu4NVQ2FCW+ZfnS8s+hIYGER4aSuwMHhyE5M3Oy7jV5eXrNopbfV9jtWblnrkgCxnzgXlM+aYSx0Ac1AEckjPzpEEqyrRlyqiH+BnADWVrncAV+oqUZ2hTgZCltVEO67p7N3ocC4BDy/leeWp05liwa1vfxRsf+MZ/3GgFNIwfCwF/SkRERERERFkSCoUwMDCgzBf2phAK6vV62O326GzhqhboJiLRbuHnRzHtG0x5LbpGs7LRnKHTCnVsXILPs4D+P7+mjI6Y7OtFOJjeOAOVWo3atk6lQ7jRuQeVjU1bBmOyJGNhKtodrIyLGF2GL0PdwZZKgxICrwbC1rqyjHYHy4EAQkPDyiZx8d3B0kzyGw2mQmUyxc0GTgyDNVVVBRdGRuQIZldmEzZ/W934Lf79iEjxCZEMsBqsSsdvXVmdEv7WldUpwbBFv/0TH1QAhACCS9uPcDh4nMOKB8jx5oQ7otZtEO5Wbh76rj7WcqPDYsaQmIiIiIiIKIPm5+eVbuHBwUFIUvKjH2pqauB0OmFvaEfdSjnCA0sI/o8XvqUDKa9DW1cGg90Ko90GfacVGrMOkXAYM4P9mHjqeYzHZgkvzkylfO1VZlulMjaiybkH9V0O6LaYXRtYDsfNDl7C3JgP8+M+SJH0ZhnH0+jUqG4yJ4TB1c0WGM2Z6Q4WoRBCo6Nx84HXZgVHUpghnQqVTgdde1t0g7iDwmBtXV3BBMEhKbQW+G7S/TsbmIUsdv57kKoqY1VC96/SDRz7WF1ZHUxaU87XRRkQXkmum/fgj8u5fyIibSo1YLRtMJ93taN3o89VAXozRznQOgyJiYiIiIiIdiASiWB4eFgJhufm5pI+V6vVoqOjA47WTrSq62CakBF83QvJO4NFzKS0Dm2NaW2mcJcNaosOS7MzGHLtx8Sj0VnC0wNuSJH0AhCNVou6LgeanD1ocPSgqXsPyqtrNwwqZUmGZ3pFGROx2iHs82Rmjqal0oDquLnB1c0W2OpMUGt2NstVRCIIj4+vmw8cGhpCeGwMSHNjvi1pNNC3tEDXcVBXcHsHdI0NUCUxqzmfViIrCfN/E2YAxz42H5jP+bpUUKHGVLN+BETc47qyOug1+pyvjVIkhddm8m66Wdv8+q7fPMyd3hFDRXLdvPHhr8EKqDnDmjKDITEREREREVGKlpaWlFC4v78foVDyoxGsViscHXZ0mBpQv1QOaWAZ0l8CEJhE8lvXAZpKAwxdtmgobLdBGAQm+11wud7ExBPR0RE+z0LqX9zqOuvqEzaXq23vgla3vis34AuvjYmIbSg3P+GDFM5Ad7A2bnZwXCBstKTfHSxkGZHJybWxEANxIyJGR4FweMfrXkelgq6pKRYAr4bA0UBY19wM1Qbf191gObSMaf/05vN//VPwBrMzV3krWpUWtWW1m4a/DeYGVJuqoVPvzu9ryZJlIOjdYITDVuHvAhBczPfKU6M1HdTRW7lxN2/CYxug4e8r5RdDYiIiIiIiom3IsoyxsTElGJ6cnEz6XJVKhbbmVnTYmtEaroZ5TED6QwBAECEk31mrrtDDGJsprO+swFJoHhOuA5h4/QmMP3IAs8ODEGl2uuoMRjQ4upU5wo2ObphtlQnHyLLAwqRPmRm82iG8vJCZ7mCzzbAuDLbVp9cdLISANDurdAEnbBg3PAwRzMyaD6atq1sLgOPCYF1rK9SG3TPLUwiBxdDiluMfJv2T8IV9OV+bXq1P2PhNCYBj4W9dWR2qjFXQqHd3h3VREwII+Taez+tf2OTj80DAA+RhpEja1NqDunhXg93KTbp7Yx/Xl+V75URpYUhMRERERES0Ab/fD7fbDZfLhb6+Pvj9yff5msvM6KxtRZu6Fg1zZqj7VrtTV5DshGK1RRcbH2GDqkGHmflBDPb9ERO/O4BJ1wEEfMspf02rqlvaEjaXq25phToudAv4whjrXVC6g+dGlzE3ntnu4OoWC2pW5wen2R0cWVhAOBYCBwcHo49jYyJkX3YCTk1VVdxIiLgwuK0N6rL8h0NCCCwEFxIC3406gFfy8FJ8k9aUsAHculEQ5npUGioLZtZyUYiENg50NxvhsPpxKTMbS+aGCjBaNxjdcPAM34O6fA3lnNtLJYUhMREREREREaLh2tTUlNItPDo6CiGS362+saoebcZ6tPhssE1roZpfDReSG1+gLtNC32mFobMCvjIfpmb7MdH3MiYefgvz46NpfEVRRkt5QiDcYHfCaLYAiHYHe6f9cL8+Gw2CY+MiMtYdbNWjuqUcNS2roXB5yt3B0vJyLPgdTOgMDg8OQfJmZ9SBuqLioPnAsTC4vR2aioqs3PP/Z+9PY1zdF7PQ83lHz0OVa7BrHuxa60AY0gmHmw5DDgiQ4AYRAWkxiEEIISEkInGBhivx4UpXiFaDFD4xXSL4kA66KHDpe6BFbhPSh+6QHM5JcpKcvVe55nKV7SrbZZdnv8O/P7z2a7umZdeya1rPT9pa3rXKr99Va9h7PfXU8x+FZVsotUpDbd+bDeB8Iw/DnsJkxkcEteCD+7+LgUWEtBAD4GmxrfF3e5tXQOfxn2x6FnrwxoFsdzR6bwbA3gjA5jnRRzEkJiIiIiKiz1a73cbh4SHS6TTS6TSur0ffvvRoOtZCS1g1ZhEv+uE/H29OQPIo8GxFICV0XEmXOL/4gOzel8j9TBrmI+cQJFnG/PomEt2D5RKpd4jGlyBJkrMdfFbD7i9eoZA5RTFTQ+m8DnMC7WBZlTCbuLEdvBKELzjaoWB2s4nOyYkTBt+YiLDGOAhwHJLfPxAEr0Nf74bBmxtQotEnDzMN20ChUXAOfutuAF80LobC38vGJUzxuIMHP0XUE30w/F30LyKgBZ78vt4kIZwN3qGgt3z3du9g+Nt6+m3oT6J4RptwuHlYm/pyZluI3hqGxERERERE9FkpFotuKHx0dATLGnUAAoj5o1iV5rFcCWOxFYZcHb0RK+kytPUQjIiJgnmO0+yvI/vND7i+vHjMDwMAEJiZxdLA4XKLW0komgeViwaKZ3V8+MUqime/ikKmilppMu1gf0TH3Ep/Nzi2EkR00Q/lI+1g0emgk8n0t4GP+4GwOcbG8zgkXYe+vgZtfR2ejQ1oA+1gdX7+yYLgjtV5cP8338ij0CxAYPTm+qTEvLG7w9+BDWCv6n3y+3oTOo1+iPvQwWyDb29eAfbTfyLg0ST5gXA3en/LV/NxyoHohWFITEREREREb5ppmjg+PnaD4eIYzVRVVrCszWO5EcWqOYtQyzf6C6sylCUvGr4aLponOMr8CvL/aQ+W+bgASNE0LG6lkEjuOIfLpd5B90VQOm+gkKkh/d+q+Pn/7ddQOq/B7EyuHTzYDJ5bDsIXur8dLEwTxvm5EwAfDjeCjfNz4JEH6z1IVaGvrPSnITYGguB4HJI8/sF342gYjX7j947wN9/Io9QqTfUe7iJLMuZ987cOfxtsAC/4FqAp429Bf3Ys456Q9+bj8nC712w9952PxxsZPoTtzt3e2eHWrycMTPn3GBE9DYbERERERET05lxfX7uh8MHBATqd0Q9ZCil+rJoxrBqzSNgzUDHilqUiQcRkVLUKzqt72D/6Jmrpx4eD0cUEEql3iCffIb69A08ggatcC8WzGvZ+qYZf+H+mUS1NJoTyR3T3ELleKByN390OFrYNM5frz0IMtoLPzgBjCnu4kgRteXl4J7gbBmvLy5DU6fzVttapDQW+vRmIwUD4ujP6RMmkqJKKef98fwP4jvmHOd8cVJl/5R9i20CrfHeD997HV0Cn+tx3Ph7NfzvMfXC/dwbwRgGFv16IPmf8E4CIiIiIiF4927ZxdnaG3d1dpNNp5MaYL5AhYVFEnWDYnkNU+CFhhC+DlgAzYqOMS5yWvsDB8S/B3Bs9jB6k+3yIbzsN4bn1JHTfMuplGYVMDfu/UsM3/0MWZufsUdceJKsSZuKB4bmI5SD84eF2sBAC5uUlWt0g2BhoBHdOTiEeuZn8MeriYv+guO4+sL6+Dm11FbI+2r7xKIQQuO5cI1fPPdgArhv1ib3mqDyK56P7v7PeWcjSZ9zeFMI5cG2wtXvnhMONw9paZUBMoc0+LbJ2R6P3Y7u9M4DGeRAiGh9DYiIiIiIiepUajQb29vaQTqext7eHZrM58nN90LuhcAzLdgz6CH81EhLQ8bVRNM5xdPGryFb2YYpHhMKShNjyqnOo3OIWdP8y2s0wiucNHPxqDb/yn5sA9sa/7g3+sO5ORMRWbreDhRCwymV09n4d5eNjdI77W8HG8THsRuOT7+EuSiw2HAT3wuDVVch+/ydf3xY2Sq0S8o08Lup3zEB0H7esp58C8Km+O9u/ve3fuD+OiCfy5IfmPSujdTvMdR8PtHlvBsH2FBrr0yLJTlP3zgmH7nbvXaGvHuRuLxE9GYbERERERET0KgghkM/n3bZwJpOBEKMf9DVvh7FqOW3hOREaqS3c1Bq4aB7jpPhdXLZOYdjjN2i9oTDiWzsIz29A8y3DNOdQzls4+qIO85ctAOXuP48jK/128GAo3GsHW9WqE/5++7+hdDx8YJx9PZ2pBDkS6W8Dr69DX9/oBsNrUEKhR1/Xsi0UmoUH27/5Rh7mMxz8FdJDbvAb93dD3xuBcFALvt0A2DKdpu5dDd5bj6/6j43pfDJiavRQv817X+jrBr7dt3ki3O0lohePITEREREREb1Y7XYbBwcH7r5wtTr6NqguVCzbs1iz5rBix+DDx+cKGlIV2doBcrVDXLRO0LFHbycDgCTLmF1eR3h+E7p3Gaa5gOuSjtxJG7mT3ntdjXXNQb6Q5s5EOKFwCDNxP6ROC52TE3SOvkDnG8coHx3hohsIW2Mc1DcOORDo7gOvQ1tfh6fbDtbW16HOzIx9PcM2cNm4HN4AvjEHUWgWYAlrCj+ah816Z92m74J/4db8w6J/EX7t01vQL4JtA+3r22Hunbu9A6Fvu/Lcdz4e1Xs70L236TtwcBsP+iN6FrYt0DIttAwbTcNCa+gfG82O5X6/Zdv4v/y2tee+5VeHITEREREREb0oxWLRbQsfHx/DskYPBWfsAFbtOaxaMSyKCGQ83N6r2xU3EL5onaBljbdB6wvPIDS3Ac27BMtcQK0SQb0mo17rvYcAMH77WJYlzCT8/YPkloOYXfRAK+e6TeBfQudXjlA/PsbV8THMfH7s1xiF5PFAX1vrHxQ3MBOhzM2N3IptW21c1C+cg9/uaQAXm0UIjN4MnwQJEmK+mBv0xgPxW1vAC/4FeBTPk97XRAjhtHRHafPe3PZ9Vbu96vAe760Jh3sCX8333HdO9KoJIWBYAk3DQtu4Hd42u29rm5YT4BoWWmY/zG0b9sD7Oe87GPo6gW/3uaaNjjn6n0u6KjMkfgSGxERERERE9KxM08TR0ZHbFi6VSiM/VxEyluxZrNoxrFoxhPBw8FM3r3HRPMZF6xj55gma1ujNZFlREZxdg+pdhmnMod2cg5BDuH58MRiA0w7uNYNn4z5EtTr89SyszAdnFuIbTiP49PzcCf4mTdOgr6x0W8Eb/ZmIjQ2oi4uQPvJl8g2j8fD8Qz2Pq/YnfpAeQZEUzPvnbx/+NhD+LvgWoL2GZqjZeaDNO/i4PBz6WtM5YHBqHtztnbk94+CbBTwh7vYSddm2QNu8Hb66Qa5podnphrHd8NZ9/4Embu/9mwPhrfO24WvbT/t5vZF1TBuWLaDI/LNhHAyJiYiIiIjoyVUqFTcUPjg4gGGMfghVyPY6bWE7hoQ9AxXKve/bNKvIt05w0TzBResYdXP0L4n3BGJQPcswzXkIsQhJmUfHVNDptoSlMSdGZVlCNO5HbDmAmbBAGGUEaxnI54cwvjiG8R+O0Tk7Q9k0P2Gh+N4Xh7a83N8IHgiDtaUlSOrtvxoKIVAzarcC33wj7zSCu4+rndGD9klRZXUo8L21ARxYRMwbgyLf/2vjWdgW0KqMuNvbe3wF9xfda6EHb4S5D234zvSbvy/t54toAgzrdsh6V+u23W3POq1beyDEvTmnYKFp2N327nCQ2x6jbfvWtU0Lfp2x5zj40SIiIiIioqmzLAuZTMYNhvNjzCNIQkLcjmLVjmHNnkNE+O89dK5l1buBsPNP1RitlSwrHiieBGx7EbKSgKzGIcl+WAKQFIxwxN0wb1BDbEFH1NdByC4heH0KT3YX1i8ewDg+gTAM2AAmfWycmkgMB8HdzWB9ZQWS3t9kFkKg3C4j08gjn/3/3rn/m2/k0TTH22SeBK/ivRX43mwDz3hnII+b0k+SEEC7esc+70O7vSUnIH7iSY1Pouh3H8T20KFtviigvsJ5DvpsCOG0bYeaswMBbOtGe3Z4BuFmwGtjeF7hxsRCt9FK06HIEnyaAq8mw6sp3X9k+DQFJj/uY2NITEREREREU1Gv17G3t4d0Oo29vT20Wq2Rn+sTOlatGFbtOSzbs9Dv+atL22risnWKi9YxLponqBiFEa4uQVZjkOQ4JDUBWU1AkmchSfIDneR7riQDkYiMqKeFkFlEoHIM39mvQ/rFL4FGw30/G8Ck4lZlfm44BF5fh76+AX1tFbLPB1vYKLVKyNV7jd//ivyv3p6D6NidCd3R6AJa4Pb8w0AIHA/EEdbDI28dT4TRvL/N27zqbvfeMe9gm093j59Kkp0ph16QO9jg9c8MPL7R+tUDnHKgJ2FaNloDswft3izCjV3aUcLau8Nde2hegabHozqB7V3hrVdT4FUV+HTn3z29x2r/+32aAs/A8wav0/s+X/f7NOUZP1n4BjEkJiIiIiKiiRBCIJfLuYfOZTKZMZ4MzIsw1ixnRiImQne2hQ277YTCzRPkW8eodC4/ftiZ5IOsxiEriW4oHIckjd909GgCEb2BUOcCgdIhvKe/Bv/lPmQx+bBQiUb7LeBuGKytr0NZW0FJbt4IfL+DfO5nkD9w3nbRvID5DAFmWA/fav3G/cMHwQX14PRuwDIeaPPe1/i9Ap6hLf1JPJGBQ9kGw907Jhx6AbAnAnxkW5poUK9t2x4MYm+0bu/arG11ZxBu7uG2unMKg9dqdmx3J9ew2PqcFlmCG6p6bwS3vQDWMxjGuiGuAo8qD4S4Cny68/2D7z/4/R5Vhswd4FeLITERERERET1au93G/v6+OyNRq42+naoLFSv2LFatOazYMfig33of0+7gsnXmNoWvOrmPhMIyJGUesppwQ2FJjozVTJUgEJTrCLVy8Bf2ESjsIVg7g96pjD078RA5EBiahFDWVlGNh1CM6cir9YEt4DTy9f+C3HdzKHyrAFs8fQtu1jt769A3dw7C7/y7X/NP5sVsG2hX7j6I7c7H3fdrT3q8Y8o0/40w9yObvf5Zpw2s8K/xnyvLFrdmDe5q1bqHlN1o2g4fXtZv197Vwm2b9lTOySSHrsgfD2vdx8PtWW8vuNWUgSZu9/0HW7ndx5oiPe1XZ9Crxf+6EBERERHRyIQQKBaLblv4+PgYtj16aDljB7Fmx7BqxbAgIpAx3G60bBOF9pmzKdw8RqmdhY0Hri8FnUC4NxuhLECStJHvRxMtBOtZBK8OEaifIVQ7g7+RhTKhJq7k9UJfW4OyvgpjaQ7VxSAKczrOZwQyahX55gXyjQzy9W+hWCkCo5+rN5n7g4R533w/9L1j/3fBvwBduR3gf5QQQKc+4oTD4G5vGXiGIPzRZPWegPeO4Hcw9NW8z33n9ImEEOhY9r1h7dj7tqaN1tDhZMPvz7bt9MgShgJbT7dRO9SUHQhgfXe0cgf3cO/6PjcIVhUobNvSC8SQmIiIiIiIHmQYBo6Pj91g+OrqauTnqkLGkj2LVTuGVWsOQQwHY7awUGxncdE8xkXrBIX2GWxh3XM1BZIah6zE+6GwHBrtRoQNfyOPYO0MwfoZgrUzhGqZybSDNQ3S0iLay3OoLgRRnNNxPgschls4VMvItS5Qbh/03/+q+8+UKZKCBf/CvYe/xQNxxHwxaPIIobrZHp5uuLPZe3U7DLaefvf48SRnxuGufd7Bg9tuhsGeEHd7X5Be27YXujqNWWfjdviAshH3bW+2bge2cZuGxbbtFGmKdHf46ga2N7ZvB2cR7ghvb4a1ThjsPNYVmW1b+uwxJCYiIiIiolsqlQrS6TR2d3dxeHgIwzBGfm7Y9jmhsD2HuB2FOnAcnC1sXLVzuGg5m8KF1hkscfe1JTnqbAgrvZbwHCTp40fLqUZ9KAwO1jIINHJQ7NF/DDcJWUZnIYraQBP4MNzGl4EKjv0NCDkHIDf8pPqjX+6jNFm78/C33gbwgn8BMW8Minzj42WZTlO3eQUUj4HmLz2w21vqNn6vAGOKP5hp0EP3t3nvm3TwRoCbHy/6ZEIIGJa4ZwJhYMfWDWMHwl2zu2M71K61u/u2t/dw24aNjvWKWuivjCThVpPWc1d7dsTW7X0Hm/Xen21boqfFkJiIiIiIiGBZFjKZjNsWvri4GPm5spAQt6NYtZ1D5yLC7x46J4TAVacbCjdPUGidwhB3tUt1JwhW4/09Ydn38AsLG/7GBYL1DIK1cwRrGQTrZ/C0y49uB9dmfU4TuBsCn0QMZGclXEQBS7kGcNfu7WSDDK/i7e/9Dkw+DL5tRo9C6lRvhLtXQG4PaH7z/oPbWk+8Z/GpFM/HJxxuPvbNAOoj5jE+I7btHEp2c992eLPWHmrSuu8/0MS9K/jthbWD17bZtp0aTZHcg8QGA1l3MuGOjdu7d28H93Dvau6ybUv01jEkJiIiIiL6TNXrdezt7WF3dxf7+/totVojP9cvdKxYc1izY1iyZ6EP/NWi3Ll05yMuW6fo2LevKylz7sFyshqHJM9CkuRb79ejGo1bYXCgnn1UO7gSUnA+I3A+I5CdlZCdAXKzEnJRwNAMAIPXvP+eHiOoBYdD38AiFvUZLKo+LEo6Fm0ZYaMJqVV2wt36FVD4Emj8/243fe+d5XiBJOWBQ9nuOKDN3e31fRZTDr22ba8t2+rY/ebswLzBR6cRev9u9p/XvtHYbXUPJaPpcdux3UPFPKp8K3gdnDq4Gcx67jigbHDPtvc2rypDVSb7ZxQRfb4YEhMRERERfSZs20Yul3NnJM7OzkZ/sgAWRASrljMjERNBty183SnipHWCfPMYl61TtO3G8HMlX78drCYgq4uQJM89r2PD37zozkT0JiMyY7eDr31AdhbIzUg4n5WQmwWyMxJyM0DLI2HS7V8AiOgRLPpiWNQjWFSDWJQ9WISGRSEQN0wsGG0EW9dAuQyc/xrQ/P84Ya85ejj/Ingj/RD3vkPZbjZ+PeFXF/YK4bRth5qzA7MHYx1Idt/G7cB2rsW67dSosnTPpMGN3dqBUNar3m7W3mzoet3AdmB+QWXbloheJ4bERERERERvWKvVwsHBAdLpNNLpNGq12sjP9QgVK3YMK1YMq3YMXjhfwl8zrnDY+g7yzWNctE7RsgavKUNSFvsHyykJSHLkztDEaQcPh8HjtIPrHrgt4Gw3BM7OOkFw3TfZkGZW9WNR8TttXyEjbgssGh0sdppYbNSw0CjB1z6Z6GtOnRZ4xG5vFFCe76+RpmXfaMR2ZxEe2bq9He7aQ/MKND2em4eO3bNLO/R9qgKf3g9ohw4vG9jAvXktjW1bIqKPehMh8cnJCf7hP/yH+PrXv46TkxN4PB4kk0n86I/+KP7yX/7L8Pv9z32LRERERERPQgiBQqHghsLHx8ew7dHDrlk76Bw6Z81hQYQhQ0bdvEa2+QEXrRNcNI/RsKr9J0ghyNrOQCg8D0nSbtxUdzu4e4hcLxj2tK8+2udtaUBuBm7467SCnYmIaz8+uZ0qA5iDirgNLFoWFjttLLYaWLBMxE0Li5aJedPCi164lbU72rwzD4e+vhlA837yS/fatrfD2Lu2aQcPGBs4nGzgcdt8ILw1LJhs206NLGEgmHXasoPTCMObtfJAi1a5Efh2g1z1vu1b5/1lHkpGRPSivPqQ+Otf/zr+1J/6U6hU+gcwNBoNfPOb38Q3v/lN/LN/9s/w7//9v8fW1tYz3iURERER0fQYhoGjoyMnGN7dxVW5PPJzVSFjyZ7Fmj2HFSuGILxomjVctE7wrebPI986Qd3sXU+FpC5C8bzrhsJxSHJo+HpmA4HaMUIDYXCgfv5gO9hQgHzUCYL7jWDn36+CeHQQrAqBhW7Qu2BaiFsWFk0Li6bpBMKmhTnLejl/KZJkp6l7b5v3nsavHhj6GFm2uHUgmRu2XttoFi20jNK9Tdvhw8tut2tvXpumR1flW7u0Hm2gPXvXZMIdcwoe9cYe7mDrtvtYUyTOJBARfcZezP8PPcav/Mqv4Ed/9EfRaDQQDAbxt/7W38LXvvY1NJtN/NRP/RT+6T/9p/jw4QP+0B/6Q/jmN7+JYDD43LdMRERERDQR5XLZCYU/7OLw8BCGZY783LDtc9rC9hzidhSm1cZl6wRfNn8NF60TVI0SAECSo5DUBFTf/6nbEp6DJCnORYQNf/MSgVoawfoZQrUMArVzeNulO9vBlgRcRDF0UFy22xAuhAExZqtQtwUWLdMJfa1u8Nt93GsAz1r2hI+dG4Mn7DZ2hX8WticK0zMDQ4+irUfQ1sJoKhE0lAjqahg1OYQq/GiZuB3Wti20agNBrmmj1WmgZVbRMg5utW4Ni23baZEluGGsu007sEvbn0C4fSDZYJA70sSCqrBtS0RET+ZVh8Q/9mM/hkajAVVV8R//43/ED/zAD7jf93t+z+9BKpXC3/gbfwNffvkl/sE/+Af4O3/n7zzj3RIRERERPZ5lWchkMvjw5Qekv/iAy3Jx5OfKQkLcnsGqHcOaPQefKTvTEa1fwq81j1ExCoDkgazEIak70DwJ57HsAwAoZrO7G/ylMxdRO0ewfg7F7gy9jg3gMuIcFnezEXwZASxltMDLZ9vD4W8v+O0+XjAtzNj2FI6eu82UvWjrEbTUMBpKBA2lG+jKYVSkECoigDJCKNlBFG0/ClYABdOPmimhdW2hVXRauOLe3LbV/efiCX40b5OuyP2DxAaD2ZubtYPN2u6/+x5s4fav5+k+1hUeSkZERG+TJMT9/7vykn3zm9/EV7/6VQDAX/pLfwn/6B/9o1vvY9s2vud7vgdffPEFZmZmkM/noWnarfd7jEwmg9XVVQDA6ekpVlZWJnJdIiIiIqKeer2O9Jcf8OE7X+Igc4i2NdqBbgDgFx6sWk5beMH0o9zK4aJ5govWMcqdS0CZhawkIPW2hOVZSBDwNS8RrJ93w2DnQDlva7gdXAr2toGdIDg36/z7RRQw1IcDtJBl32gAW/39324DOGSLiQfAJhRUEEQZQVzZQZREEGURxBWCKIsQygjgSoRQ6X57JZz3bb/sNeIXSZLQb9eqg6HsjV3aG03b/tuV/sSC2t+49ai339erKVDYtiUios/MNHLJV9sk/rf/9t+6j//8n//zd76PLMv4M3/mz+Bv/a2/haurK/zn//yf8ft+3+97ojskIiIiIhqPbdvInp3ji2/+KnbTu7hoXo3+ZAEsiAhWrRiWzCjs1hUum6fYa/03/GLnGpK66ITC+u+E7o9DtSwnBC6fIVj7jrMd3MhCtdoAgIofyM4Av7YkITcru9MQuRmgrd8dys1YFhbbFhYsC3HTvNUGXjQt+D+xo2ILCdfw40oEUUEQVyKIKziN3isRwhWCqHTDXyfoDaEsAqjBBzxJ9/hl0hSpf5BY91CxocmEOw4Y89wKZAdatQMTC8PNXbZtiYiIXqNXGxJ/4xvfAAAEAgF83/d9373v97t/9+92H/+X//JfGBITERER0YvSarTwKz/7C/jiO7+OXKuEljT6trBHqFixY1i2ZuBrdFBuZnDR/HnsmxagLjoNYc9vRARthLqHyAVrv9RtBxfR8ADZWeBgRkJ225mGyM0oyM4CDe9wyDdnWli0DPygYWGxaQ21geOmhXnLgnfMALgmvCij2+gdCn27Qe9gAAyn3XuNAJ5xaXiibjZiPUPt2RHD2jvCXa/mtG57h515VRmq8jY+ZkRERDQdrzYk/uKLLwAAyWQSqnr/D+P9+/e3nkNERERENCm2LdA2u4eGmRaane4hYqaFVseE0ajArpfQqmdRLu2jtX8C+cIHW46g5pVQUlsQUjdcHaF8OWsHsWLNItICjNoFLjsH+FVDAOoiVCmOcGcWG/UcgvUzBGvfgto5x0WkjdyMhPRybydYQnZWQdUHyADmB9q+P2CaiNctLF733zZvWnhotK0tVJQRwZEI3Rv6lt15hxDKIogKAug8eNWnp8rSrUPGbh8wNjCF0H3svTGL4FUH3vfGxEKvuetR2bYlIiKil+NVhsStVguFQgEAPrq5MTMzg0AggHq9jtPT05FfI5PJPPj92Wx25GsRERER0dMyrG5oa/S+tdAc+Pdm921tw3YftwYet2+Evc2OBdtowtMpQ++U4TUr8JnXCFjXCNjX8CvXkNUybK0OU6pBabShVAG5GofcXEZAXoMSmUErqKKoL6IWacM5rOzjVKFgyZ7BbFuFWqui0q7jzGwhb3kQbQrEajaWmmdoKv8VhdAVzmYEsgknCL6MCni8NhbtbuvXtPDfWRYWTBPxsoXFgoWYZbl/KbCE1A95EUJRBLDfbfD2gt3epEN5YNO3CQ+mNeXgUW8fSHbXvu1QkKt2w9ru48Ht25tN3cHnamzbEhER0WfqVYbE1WrVfRwMBj/6/r2QuFarjfwavfFnIiIiIvp0Qgy0bYeCWSewbQ+Ft/bA2y20TLsb2PYft83bwe9gKGza988eqDARRR1RqYoZ1BCVuv+ghhmphjVUEZXqmEENEakKRamjrTZRVgVyqoq8V8GFrKDVUNC8VmFXZOjlEGKNZXjNJFpaEAiE4Av5YUcVXMcFDpVrWFJ95I9X2PZhwfDD2zBh1A0065doNlpQrRIMLYtW8ByF2RbaERsIWfD6LcS78w9f7baCA6YOcRlAZWijN4QCAkh3D2a7Oe9QhQ/iI1MOiiwNTRosd3dpexu1HvX2NMJQC3fgfXuPPXdOJjjzCzIPJSMiIiKaulcZErda/daFrn/8tGGPxwMAaDabU7snIiIiotfGtGy0zMGAdTBwHQ5yW7dauL05hdsTC06Ie6Oxa9r4xPPKbpFgI4wGZqQq5lFDRKphphv0RtTe4yoiqGNGqnaD4RpCkvP/hDaAkiIjr6jIqQryioK8quA7qoq8ouBCUWDWZcTKfsQv/FgqCSyWFGw1F/EVexn1wBLKgQiqHsCjtRGaU6EGQoDfg6x6jQP5euQfiywkzFsBhJoK1OsGGrUM6soFKoFT2NECxKqEmleDbvuhmAFEjVV47TDKdgiVShBX1TDOlRBaWgQtLQrDG4Hu0Z0phIEAthfi+jQFs7cOKbvdzO03d/uP2bYlIiIienteZUjs9Xrdx51O56Pv3247JzT7fL6RX+Nj0xTZbBZf/epXR74eERER0cf02rZDEwi3Nm6dt7WMbrvWvNmktdA07g5+e+Fuu3tdw5pwavtoAgG0EO22eme6rd6oVMNMt9U71PrtBcGoQ5bu/jGYAArd0DevKPhlVe0+9iOvhpBXVFyoCkwA0TqQKAGJkkDiSuB9CfhaSWC2HkLbu4x6cBnVwAqqgVmUF2wU7Qv4RAVzmoxlXxBGMIQLrY4v5BI6UmnkH7XP1jDT1uBptWBIOYiECfP9Gryhdcz7fzsk/ywU/yx0r+/efdteE5dtWyIiIiL6FK8yJA6FQu7jUSYk6nXnS/tGmabo+djWMREREX0eLFv0w9aB2QNns/bGYWWmE8AOhrd3bd8OhrWDe7gt05p42/apedC5J+ytIdpt885IVUSkOmZQ7Ya9NeiSNfJrGAAuVAWHiu6GwHlVQb7bAM6pCgqKArt3KJgQCDWBeAlYKgnsXAn87isgXrKQuAI8hoKGfxHV4ArqgWVUg8s4TsWxq7Rhm1nYVhYesY95vYgt3xpUfwpFvYNTpYhflQsACiPdtySAGfixGkvge3/Pf4f135jkwWVERERE9CK8ypDY6/Vibm4OhULhowfMXV1duSExd4aJiIhePyEEOpaNVqfbrP3INMJQs9bshrVuiNv/vrZx1x6ujY5lP/cP+VkosNyZht63vUB35lbo23/sl9qf9LotScJFN/TNKd3gdzAIVlQUVeXO5/paAokrIFUS+F0lgcSVjXjJeVuwu1bW0YKoBVdQCyyjNrOMX11dRs23CCG1nEDYzMI2fwV66xtY8C5j0b+OqPcHcO0VOFWK+Hm5gJZUHPnH45E0rM8v4zd872/Czm/5Cvx+/yd9fIiIiIiIpuFVhsQA8JWvfAXf+MY3sLe3B9M0oap3/1C+/PLLoecQERHR5Nm2uNWcvXfH9sb3Ne8Ide+eWOhf57W3bZ+WQBiNGzMN3aB3MADubvrOdg9xC6Mx8TtpSNLA9u9g+Ku6IXBZuTsA7vF0BNbzAvErgaUSuiGwQKIERAZu2ZZkNPwJ1ALLyC0toxZcRi2wjI4nAiEMCDMP28rCNr8Nu5qFJplY8K5hIbCGed9vBjx+nMpFfKkUkJd+DeKeWYu7LIRiSL3bwbvf/BWsrKxAlrnhS0REREQv26sNiX/H7/gd+MY3voF6vY5vfetb+O2//bff+X4/93M/5z7+wR/8wae6PSIiomdnWPdMHQwErh8Na+8Md+2BENe5Vsf8PNu2T8WnKfCqEqKaiQW1gTmlgZhSQ0yuu43esKghJKoI2dcI2FX4zQq8ZgUeswpZjD7l8BgCwLUsIa90g99u4zevKm4rOK+oqI544JlqCiyWexvB3SC4BCSuBGLV2+/f0YKoBZZxMtsPg+uBOISsQQgBYZchzCxs67/Bvs5CWJdQJQ3z3hUshNax4P1BhPQ5ZJUyTuUCvq2kUZNat1/oHpqiYWttAzvf8x6pVArhcHjk5xIRERERvQSvNiT+I3/kj+Dv/t2/CwD4iZ/4iTtDYtu28S//5b8EAESjUXzta1970nskIiIaZNvOoWTNOwLYu6YOnN1beyCM7Ye57Tved7iJa8OyWbedFlWW7jlIzHnsURX4dAVeVXa+1ZzHXl2BV1XgV2yEcY2QXUXAuobfuobPuobXqMBrVKB1ytDaZSjtMqTWFaTmFdAoAZ028PEzeydKALiS5aHg964GcHPMtqxiCcxXnCA4ftUNhLtB8Nw1IN/xy9eWZNQCi85URDcMrgWX0fFE+/drt2BbOYj2f+vuCecA0YIiaZjzLmMh/B6L3j+AGU8cdbmNU7mAb8o5nMtfwJJG/2THbGQWO+93sPNuB2tra/d+VRsRERER0Wvwav9v9qtf/Sp+5+/8nfjGN76B/+V/+V/wZ//sn8UP/MAPDL3P3//7fx9ffPEFAOCv/tW/Ck3TnuNWiYjoBTMs+4727O0gtz3Unh1o6N6YRRg6vOzG9di2na5eQOtV+2Ht7RD3xvepCnz6wPO6wa5X64W8d19L6zVibQtoloHmFdAsOUHuXY8rVwP/fgV0Pn7w7lOwAJQU2Q1/c4NBcDf8vVBUdOTHHa4m2U7gG7/qB8CJ7kTEQgVQH/gt0dECqAVWUAsudTeEl1APJCDk/v/PCWFDWEXY7e84TWEzC2GXAACypCDmWcJi8Pux4FvDrGcJkiQhJ1ewJxdwKv8iynJ95B+LoijY2NhAKpVCKpVCLBZ71MeEiIiIiOglerUhMQD8+I//OH7wB38QzWYTv//3/3787b/9t/G1r30NzWYTP/VTP4V/8k/+CQBgZ2cHf+2v/bVnvlsiIhqFEE7b9q6ZAzesvfOAMSecHZxAaHacEPfeyQTDgsm27dQosuS2a91mrSZ3g1mnbevV5KHw1qcp8HT/3Xcj4PXcEfb2HntUGZL0uCATACAE0K46gW6vtVu9uj/07T1uVeB0bV8eE0BBUYY3gDUded2LvKYhL0u4lCyYn/pCQmCm1p+G6DWC41cCi1eA/pGlC1uS0fAtDoTBt9vB7kvZddidE9hWthsK5wAYAAAZMmKeBBZ8P4AF7zrmPMtQZBUNtJFRiviO/F1k5CIMafTpjXA4jFQqhZ2dHWxubkLX9TE+MEREREREr8erDom/93u/F//qX/0r/Ok//adxfX2Nv/23//at99nZ2cHXv/51hEKhZ7hDIqK3wbTsoQDWac92DxSb8MZtm23bqdJV+cYEwnBT1nezaTtuWDvwWBtxf3bijGY/6B0Mfd2A9+rG27uP7U+OS59MR5JxEZhB3h9B3hNAXvc47V9JIC9M5O0mCmYD9r0B9pi/z4RAqIlbB8X1piK8xmiXMdSAGwZXA8uoB5dRDyRgy7e/2ksIE8K6dCYjzCyElYOwK+73S5Awq8ex4FvDgncd895lqLIOAYGCVMUvKyc4lQsoyHeMGN9DkiSsrq66wfDCwsKnffKBiIiIiOiVeNUhMQD88A//ML7zne/gx3/8x/H1r38dmUwGuq4jmUzij//xP46/8lf+Cvx+/3PfJhHRRPXatoOHkbVuzB60OgMbtgOPh8Pa28HuXTu5bNtOjyxhIGy9exrBMxjUuo1cpz1794zCzdC3/1z5kbMBz8IyulMOD8w4DE449EJfs/ncdz4eTwTwRQH/LOCbRdMbRt7jx4WmIS/LyEsWcqKDvNlA3qgg37pCqX3VfbIJoOJkvhPYKva3+i3gpZJAfGAiItAe/Tq2JKPpWxjaDa4Fl9H2zNz5/kIIwK7CtrIDofAFnEGMvqi+gAXvOhZ8a5j3rkKXPQCANgycyCWcKkWcygW0pBFTawB+vx/JZBKpVArJZBI+n2/0HygRERER0RshCSH4N/9HyGQyWF1dBQCcnp5iZWXlme+IiJ5br237UOh61/e1brRy27f2cG/v27ZMC/zTe3p0Rb6zXeu5o1V7sz071NK962295m5371ZTpLffVLRtoF0ZDnRvtXxvPi4D7evnvvPxqL5u0Dvj/OM+nnUf1zQ/8gqQFwbydhs5o4p88xL5Rt75p57HdWe6P25P5/ZBcYkrYLkkIdgYv8lvqP6BMNjZEK77E7CV+6cZhDAgzNxAKJwDxO194Ig2120Kr2HeuwaP4gS4AgJXUh2nchGnSgF5qQIhjf6HYiKRcLeFl5eXIY956B4RERER0XOaRi756pvERET3EUKgY9loDc4i3LVje2MWof/2u95/8HCy7vd1HxsWU9tpkST0G7Tq/QeSee7Yt/V2N25vN3EHd3L7Qa5HVaC8prbtUxIC6NRvt3mbV/dPODRKQKsMiFc0IyKrQ8Gu83jmVuA7+Fh4o7gWBnL13FDg63x7hvzFt5Fv5FE3Rj8o7VNoprMHnLgSWLlSsHntwdKVhLlCB/7KfZXgh/8Mc9rB8wNhsBMMt713t4PdqwoBYV+5B8vZVhbCKtz5ekF1Bou+dSx417DgW4NXCbjfZ8LCiVzAqVzAqVJETWp97MPg0nUd29vbbjDMGTIiIiIiomEMiYnoSdm26E8gDLVqP966vXPf9s6Jhf512LadHl2Rb2zTyv2mrD7Qnr3RnHXe/3bQe/dsgvNYVz7xUDK6zWw/sNl7s/E7EABbE9g0eDKSM+PQC3Tddu/sjabvjbd7Qs5nJrpsYeOqdTUc/DaOkC/+wlAg3LJGDy0nQbEEVmtefKUWxka1FwIbCOWr0ArXkNw/AG30DncblaH6hg6RqwW628EPtIN7hN2CbeWGQmGIu4PpgBpx5yMWvGvwq8PhbVVqdoPhIrLyFSxp9E82xGIx7OzsIJVKYW1tDarK/+0lIiIiIroP/2+Z6DMnhIBhiXtatQPbtG4YO7Bj2wtljcGmrt2dTLgjCDZtdHgo2VQNtmd93Qat90a7th/iKvDpshvcegdauveFtYPbuWzbvhCWCbQqI+72DhzaZjSe+87Ho4e6Ye7HAt+Bpq83AsjKg5e1bAvFVtEJf6/TyOecwDfXyLmB8EXjAoY9Xsg6CSEthLhvAclWBJtVL5ZKQKzohMD6WQHIXQJWHcDj28kCEhr+haHdYKcdPDva84UNYRWddnBvS9gu3fv+PiXkBsKL3nUEtMjQ91uwkZfLOJWLOJELqMij/zpVFAWbm5tuW3h2drQfAxERERERMSQmepFs2zmU7M6w9o4JhJZhOe/fGWzXOsHtXe/fvvFcnkk2PZoiwat25w4GA9mh8PVGs1a90bodet7dB5v1DjFj2/YVE8LZ4B1q9159PPRtVZ77zsejePrhrn+22/S9e8LBfeyNAurHG6w3GbaBQu0C+cZw6NtvA+dx2biEJayPX2zCop4oFv2LWAwsYtG3gJV2AMvdOYhQvgb9rADr9AzGyQGEMZmA2lB9Q1MR9ZkN1DwLsKXR/3dQ2HX3YDknGM7BOTzvbl4lgHnvGha78xEh7XZw20AbGcUJhc/kEgxp9J+PcDjstoU3Nzeh6+P/OiEiIiIiIobERCMzLPv21MEdrduhzdqBx+073tYybx9I1jQstm2nbGgW4Y7Dye5r4d4+vOyOlu6Nw8pUhYchfXaEAIzmA8HuA9MOzxBWPpqk3N/gfejtmn9oyuGx2lYbF/ULJ/wd2v/tB8DFZhHiIzu7kyZBQswXw4J/AXF/3AmB/YtY9C8g3vEjdtlGMF+FOD1H5/gYnaMjdE5+HqLZdK9hAWje/xIfJSCh4ZtHLbiCxkIK9ZlNVPV5NG3veNcRJoR1AdvM9Wcj7IcP1dNlr7snvOBdR0Sfu+P+BC6la5wqzoxEQa6OfE+SJGFtbc1tCy8sLPCTY0REREREE8CQmF6tXtv2/l3abug6eMDYAxu37ZuHkd3YvzVZt50aRZb6AezAoWI327M3g1nPHeHuffu27gFmbNvSOMxOP8D96ITDwNut+w4Ge6G8kQcPZbvz4DZPeCJh710aRuOOw9/yQ2+7al9N5bUfIksy5n3zA8HvIuKBeL8R7F/EbFuHyJw5AfCvdUPg42+jc3wMu1ZDC8Akl4sN1Ydm/D0aS78B9cgaqtocKm0PLOvGz81HPvfoHC53DWFl3aawsC7hRNb302QP5r2rTjDsXcOMZ/HO92vDQEYu4VQpICMX0ZJGb0f7/X43FN7e3obP5xv5uURERERENBqGxDRRpmWjNTB70B6YPWgZ/fbsSAeS3XmAmT00r0DT41HvOJDsgamDwWZu77Ayzz3v6wS8/eBWY9uWps22uru9VyMc1jYw9dAZveH4ImiBgSbvx0Lf3m5vFFCe7n8Hap3aUOjbm4EYnIOoPsPHXZVVN/gdDH173y74FzDnm4Mqq7BqdXSOj2AcH6PzrWN0jn4WnaNj1I6PUSmXp3J/UjAEY+s3o5l4j1poFdfyDMoNHfXawH8LDYx8Pp0QHdhm3g2FhZWDsD++baxKOua8K86msG8NUX0RsnT7z3ABgSupjlO5gFOliLxUgZBG/2RrIpFwZySWlpYgy/zvBBERERHRNDEkppH89f/1V1BuGh8Ndtm2nR5ZwtChYQ+GtTcOGBs8sGyopavfDnZ7bVuZh5LRSyQE0KndHfQ+dGhbqwI88ezAJ1H0Ow5ku2/CYXDKYbw5gUkSQqDSrvTbvve0gOvG4w9ZeyyP4rkV+N5qAHtnh8JOu9VC5/gEnQ9H6Bz/AjpHR8gcH6NzfAzrsjCV+5R8Pujr65DWttFY2EEtuIxrRFCuqShdtGB2bKAN5x/nLke6rtMSvoJtZgE7Cwl5GK0LjPJ7QpFUzHmW3fmIWU/izlAYAAxYOJdLOJWLOFUKqEujN+p1Xcf29jZ2dnaQTCYRCoVGfi4REREREX06hsQ0kv/05QWK9c5z38aLo6uyc8jYHTMIN/dtvTfas73n+XSlP7GgdsPaXitX72/naorEmQR6W4zWjaD3rsdXt8NgezKHeD0JSXaaug9OOAyGwd3HemBqUw6PYQsbpVbpwfmHfCOP9jPMbPhU352zD+6/+xcR8UTu/PNTdDroZM7Q+ZVfxdXxMTrHR+gcOUGwmc1O5X4lTYO2tgZ9YwPa2jraC5uo+ZdwbYdQuhIoZmqollpApveMTvef0Qm7CdvKQVEuIEsXaNczsIzRVo5lKIh5l7q7wuuIeRJQHjjY7lpqOm1huYCsXIYljf5VPnNzc25beHV1FarK/y0lIiIiInou/L9xGolXU577FkYiS7g/lL3RnvXp/c1bJ6h9uJl78/s8qgKFbVsiwDJvzDTcF/iWgGa53+41P+VormfgCQO+6GgTDr3Q1xMBXviXyVu2hUKz8PAGcCMP0zaf/N7Cenho/3focfffg1rwwU+gCcuCkck44e/RkbMV3P3HODsDrCkcFqgo0FaWoa+vQ9/YgL6+DiTWUfMuotL2IHveQDFTQ/GsBvPQBj5hqVgIGxIK8PhLkJFHu36KRuUCwGjLExJkzHoS7nzEnHflwVDYgo2cXHbawnIBFbkx8r2qqoqNjQ03GJ6ZmRn5uURERERENF0MiWkkXu3xIYeuyDe2aQfD14H2bHf2wDswe+C7+b53hLX9A8xk6AoPJSN6NNsG2pV7Grz3Pb4C2tfPfefjUX0PzzgMtnoH30fRnvvOx2ZYBi6bl8MbwPXcUCBcaBZgiSkEpR8x6519cP930b8Iv+Yf6VrCtmHm8074e9RvA3eOj9E5PQWMKbTPJQlaIgF9ox8Ea+vr0NbW0PLOoZhvIZupoZipofDdGqrfaAE4/eSX9fg78IdKgMihXcvg+vIYZqeNVnnE24aEGX3RmY/wbWDBtwrlI/87WEcbGaWIE7mAc7kEQxr910skEkEqlcLOzg42Njag6/rIzyUiIiIioqfDkJhG8md+YAPXTcNp3A5OJYywh8u2LdETEwLo1B9o997z9uYVIF7RgZCy+sCEwwMtX8333Hc+ES2zhYvGxXDwe2MCotQqQTzxFrMECXO+uQc3gBf8C/AonrGuK4SAVSj0g+Dj434YfHIC0XpcE/dj1IWFbiO4Hwbr3TDYFIoTAp/VUMjUUPiFGor/5hRm++iTX1eWJUQXPfCHKgByaNdOcZU9QOWsgMqY14rqC1jwrmEpnMScvgxFPPy/fzYELqVrnCoFnMpFFOXRDxKUJAlra2tuMDw/P89P3hIRERERvQIMiWkkf/b/vPHct0D0eTLbo7V5bx7cZr2yDXFv9PYu763HM8Nv94Re1G7vJDWMxsPzD/U8rtpXT35fiqRg3j/vhL7++FADOO53QuA5/xw0+fGta/PqCsbxMdrdINgYCIPt+nQOvVNmZ4emIdxAeG0Nst8PYQtcF5so9JrB/0cNxbNv4bowmWDaF9IQWw4gONOBJHJo1TIonR8g9+EAtjX+zEdYiyER2MJK7CuYkRagWAOTUfd8zqAFA2dyESdKERm5iLY0evs6EAggmUwilUphe3sbPt/b+EQMEREREdHnhCExEdFTsK3uHu9Vf5P3wcfd0NeYTig2NXrwdph7c87h5rSDLwrIr2P3/FMJIVA1qg8e/pav51E1Rm9uTooma+7Mgxv63tgDjnljUCbwc2XVat3g92h4J/joGHZl3J7saORweDgIdh+vQQmH3ffrtEwUz+o4Oauh8O1TFDNVFM/qMNqfPskhyxJmEn7EVoKIzKuQpUs0q6conu7h/Lsf0KiUH3XdoDqDjcXfhOXIDsLWDOROdyLqgS8MEBAoSTVnW1gp4EKujNU5X1pactvCiUQC8gvf3iYiIiIioocxJCYiGocQzgbvYLDbLN/T7h0IfVsV3Fvhe4kU/e6D2O5t+c46Ya863oTAWyKEQLldfnD/N9/Io/kMB/Z5FS/igfhQCDwY/i74FzDrnYUsTS7os5tNdE5OB0Lg/lawVShM7HUGST7fHSGw0wxWZmaGZg+cdnAL2f0aCmeHTkM4U51wOziI2EoQsWU/NO0ajfIJcge/hvPvfsCvnp5APHLeJRpcwPby9yMe2ESgFYTU+yX1kV9aBkycy1c4lQs41Uqoi9F/rB6PB9vb29jZ2UEymUQwGHzUvRMRERER0cvEkJiIPl+dxmht3ptvf4ZDvh5Nku84kO2+7d6B99H8b3bK4TFsYaPUKiFfzyPXyN3bAO7YTz/zEdSCtw5/uzkHEdbDU9mFFZ0OOpnM8GFx3VDYzOUm/noAIOk69PU1aL0geH0d+voG9I0NqAt37992WiYKh9f9uYhMDcXzGozWZNrB0bgfcytBxJaDmFsJIhAVKOcPkdv7dWQ/fMAvf30X7cYjvypAkrC88g6bid+COX0F3msPRNUCOnD++YiK1MCpXETGU8K5KMHuBdMjfM5qfn7ebQuvrq5CUT6Pxj8RERER0eeIITERvX6WcX+g+1Doa07noKup8US6we5Dbd6Z4fDXEwb4ZeAPMm0ThWZh6PC33oFwg/9uivG3YT9VxBO5ffDbwBzEgn8BQX26jU5hmjDOzoYPiuvtBZ+fA/YUDjtUVejLy04TeGMd2vo6PN1WsBqPQ7onrBRC4LrQ3Q7uHSaXqeH6cjLtbW9QGwqDYytBROY8uMqeIJv+gGz6S/zyf/iAq+z5o1/DFwpjdft7sDb3GzEjLUIrybBKbeCy+2PEw8G2BRs5uYyM7wqnShHlTne6ZISfJlVVsbm56baFZ2ZmHv3jICIiIiKi14UhMRG9HLYNtMoPB763Dm67AjpPv9/6STT/A23ee5q93iig8I/scRmWgYvmxb0bwLlGDoVmod+ufEKz3tmhBvDNEHjBvwCf+jQHgAnbhpnNDm0DuzMRmQxgTiEglyRoy8sD0xD9eQhteRmS+vCvd6NtoXjWD4OLmRoKZ5NpB0uyhJm4fygMnlsOwh/RUb8qIZv+gPP0N/DL/68PyB/swey0H/U6sqJgYWMLS5u/AcuRFCLWLETOgJlvABUAMD4SCTvqaOMscIWMr4zT5gUMywAsYJQnR6NRty28sbEBTXv8oYNERERERPR6MXEgoskTAujU7gh0bzZ6bwbAZbyq3V5Zu30I262m7x0BsOZ97jt/E5pm02n8DgS/N9vAxVbxye9LgoR53/zQ/MNg+NtrBuuK/qT3JYSAeXnZbwEfH6N9dATj+Bidk1OI9uOCzo9RFxeH94E3u0Hw6ipk/eMfAyEEqsWW2w7uzUVUCs2J/HHhDWhOCDzQEJ5J+KFqCoxOGxcH+8jufRvf+Y8fkE1/QLV4+ejXCsXmkUi9w9LmeywGNuBv+GEc1WAc1AEBGBjt0D4bAkVfHWfRKk7MPC6qRScQrn38ubIsY21tzQ2G5+bmpjJFQkRERERErwtDYiJ6mNEaodFbvh0G28Zz3/kYJOfQtTvbvDP3B756kLu9U1I36g/v/zbyqLRHC9QmSZVUzPvnb4W/CwFnAzgeiCPmi0GTn6eNKYSAVS73W8DuoXHHMI6OYTcaU3ldJRYbDoJ7YfDqKmS/f+TrGG0LxXMnCO41g4uZGjoTagdHF3vbwQHMrYQwt+K0gyVJghAClXwO2fR/w3f+DycQvjw+gG097rVV3YPFrWQ3FH6HmHcZ8oVAe78M4xdqgKiigdG/CqLttZGbbyCjFHFUPkOz1QSuRntuIBBAKpVCKpXC9vY2vF5+ooqIiIiIiIYxJCb6XFimM+Vwq9l7z4RD77ExnVBpavTgwIzDfaHvjQDYG+Vu7xMRQuC6c33n9MPgtzVjhErkhOmy3j/07Z7931nvLBT5+Q/vsqrVW/vAvcf29fVUXlMOh4dD4N7jjXUoodBY1xJCoFpqOWHwwHZw5XIy7WBPQMXcctBtCM+thNx2cE+70UBu/wtk/5OzJZxNf0Cz+viP3UxiCYnkOyRS7xHf3EFYzMI4rqK9X0Hn61U07NPxLqjLqC0LZHxlHNXPcXaRhbgc/YOzvLzsBsOJRAIy/4wjIiIiIqIHMCQmem2EAFqVuwPdh0LfZ2hdfhLVe3u24da0w43Q1xsF1Kf9En7qs4WNq9bVvYe/9R43zckcIjYOn+q71f51g+Du26Ke6Iv6snu70UDn5GR4H7gbBFul0lReU/b7oW2s324Fb2xAiT7u42N0LJTO6gNhcBXFszo6zU/fOZYk9NvB7lxECIGoPnSvwrZRPDt1D5fLpj+gkDlx/jx9BN3nRyL1zv0nvpmCciWhvV9G+6CC9jfyKJm58X4smgys+pGfqeHEuMB+9gjV7OhNY4/Hg2QyiVQqhWQyiWBwugcaEhERERHR28KQmOi5COG0dO89oK18/56v+PQvvX4ykjIQ6D4Q+t58rD3NgV00Gsu2UGqVbu3+Ds5BXDQuYDzDzEhIC310/zesh19UANxjt9swTk/7jeCBdrB5cTGV15Q8Huhra0MHxblB8Cfs0wohULtq9w+R67aEyxeNybSD/eqNMDiI2UQAqn672d24riC3t4ts+kucpz8gt7eLTvNxXxUhSTLmVtcQT73DUuo9Eqn3mFlcgpGto71fQfvbZVz99K9DGGMefqhI0NfCaC4BJ3IRh4VTHJ8cwzof/c/3+fl57OzsIJVKYXV1FYry/C13IiIiIiJ6nRgSE02C2bkR9N7X7L1xaJvVee47H483cjvQvRUA33i7J8zd3hfOsA0UGgUnAL4R+vYeXzYuYYpPb36OK+qJ3t7/7c1BdN8W0AJPfl/jEIYB4+xseBqi2w42stlHt1kfpGnQV1b6jeCBdrC6uAjpE6cHzI6F4nm/HdybjWg3JtcOHgyDY8tBBGc8dwbYlmmicHKE825DOJv+EuVc9tGv7wtHsLTzvj8dsZ2E5vHBOK85LeGfKSN7dArRHvOTdbIEfTUEZTOIC38NR9UzpPe/jdK3Rm+Fq6qKra0td0YiGo2Odw9ERERERET3YEhMNMi2nCmH+9q9tx6Xncedp99P/SRa4I5D2e4KfAce+6LAC9hipfF0rM5H938LzQLEJKqeY4p5Y/0NYH8/9O3NQCz4F+BVX8cBW8K2YWazaN84MM44Okbn7AwwpxCwyzK05eXhjeBuO1hLJCCpn/6f+F47ePAQuUKmhspFYyLZtsevIja0HRzETCIA7Y52cE+1WHAbwtn0B1wc7ME0HvcJN1lRsbC51Z2NeI+l1DuE5xcBAZgXDbT2yrj+X4/QPqhAtMb8OZQAbSUE71YEnYSK43YO6YPv4uBbBzCM0Rv30WjUbQtvbGxA057nUEQiIiIiInrbGBLT2yQE0K7eEe7eaPLeDH1bFUzk66KfiqLfsc/7sdB3BlA9z33nNAENo3H37u9AIFxqTWe79iGyJGPeN39r/3fBv+C2ghd8C9CU1xV2CSFgXlx2A+DhjWDj5BSiM52vDFDj8RsHxTlhsLayAlmf3Aa32bFQytZvzUVMoh0MCYgu+N1WcG824r52cI/RaSN/sDe0JVwrFR99G6G5eTcMjiffYXFzG6quOz+3l020D8oo/cyXaB+UYdcfEQrHA/BsR6FthnDpqeHD8QF2d38e+V/Ij3wZWZaxtrbmBsNznzABQkRERERENCqGxPTyGc3R2rw35x3sp//S+EeT5H7Ae+ecw8DjweBXD3DK4Y2qdWpDge/gDETv7ded6ye/L1VW+5u/gzMQA4FwzBeDKr/O/7wIIWBdXQ3vA/eawScnEI3H7dp+jDI315+EWB8Ig9dWIfsmu88thEC93O4eIucEwcVMDeX8ZNrBuk+9FQbPLj3cDu7dVzmfHQqEL48PYVuP22BXdQ/i26n+AXPJdwjOxtzXskottH+5hEr3sDm7On7Iry764d2OwrMVgZXQcHB2jN3db2P/f99Hszn6AY2BQACpVAo7OzvY2tqC1/s6GvRERERERPR2vM6/xdPrZJkDh7LdtddbumO39wowR/+L9ovgiTjTDKNMOPi7oa8nAnziRii9DkIIXHeu+4e/3dMArhv1J783XdaxGOjPPbit394GsH8Rs95ZyNLr/7VqXV/feVhc5/gYdrU6lddUIpF+C3hwImJ9HUowOJXXHGoH9+Yizmpoj9uSvUu3HeyEwQHEVkKYG6Ed3NNu1JHbSzuB8N4HnKc/oFV9/Cc+ZhLL7mxEIvUO82sbkAcOcjPLLdS/lUe7Gwpb5fbYr6HO+eDZjsCzHYW+GcZlrYTvpNPY/a8/i7OzM4gxUvbl5WW3LRyPxyHzvwFERERERPSMGBLT+GwbaFeGW7yD7d77DmxrP33r8ZOovuGJhsF2763HA7u9r+xL6GlybGGj1Cq5ga87BXGjAdyyWk9+bz7Vd6vx64bB3bdFPdE39WXtdqMx0AQeODTu+BhWaTozHHIgMDALMTARsb4OZYqHjA22g4sD28GTbAfHlgOYWwkhthxwDpVbCkLzjLZTbtsWSplTd0c4m/4SxbPTRx/a5wkEugfLdQ+XS+7AFwwNvY913UZjv4hWLxQujf/7Tpn1wrPlhMLerQhML3BwcIB0+ueR/pk0qmN8QsHr9WJ7exs7OzvY3t5GcEqfGCAiIiIiInoMhsT0cbYN/PM/MLDbWwaE/dx3NTpZvSPYfWjaofutNtkv8abXzbItFJqFB9u/+UYe5jPMnIS0kBP0BhadA+BuhMGLgUUEteCbCoB77HYbxsnJ8CxEtxlsXlxM5TUlrxf62tqtjWB9fR1KLDb1j7NpWCid11E8689FFDKTawdH5n3uIXK9Q+VCs96xflyNShnZvQ/IpneRTX+J3P4uOmPMLwzdkiRjbm19qCU8m1iGdKN5a9U6aB9U3KaweTn+6ykRHZ6tqNMW3opCnfWiUCjgO+k00v9bGkdHR7Dt0f/7t7Cw4M5IrKysQFF4+CcREREREb1MDInp42QZuPzgtIefleQ0de9t887c3fjVg9ztpQcZtoHLxuXwBvCNOYhCswBLPG4b9VPMeGZuBb43Q2C/5n/y+3pKwjDQyWTQOT6GcXyM9tERjG472MhmH91GfZCmQV9dvXFgnPNYXVi4FVBOg9MO7nRD4Gp3KqLutIPtT/8x614FsZUg5rpB8Ljt4B7LNHB5dNhtCTvTEZV87tH35Y9E3UB4KfUOi9sp6N7bn7SzG4YTCh9U0Novw8yPvxctBzV4upvCnu0o1JgXpmni+PgY6V/4JaTTaZTGaJ1rmobNzU2kUimkUilEp9geJyIiIiIimiSGxDQa/8xkQ2I9NLzJe2/oO/DYGwFktrBoPG2rjYv6hXPw2z0N4GKzCIEpBI0PkCAh5ovdG/7G/XHM++fhVT+PA6yEZcHIZm/MQjjfGpkz4JGHlz1IUaAtL7tzEINhsJZIQFKf7j+RlmH3t4O7u8HFTA2tujGR6/fawbGBA+VCsfHawYATXFeLhaHD5fKHe7CMx92nrKhY3NzuHy6Xeo/w/MKd92W3TLSPrtHeK6N9UIaRrWPc37ayX4VnMwJP0gmG1QU/JElCpVLBr6R/HemfSePg4ADGGD+emZkZty28vr4OTePkEBERERERvT4MiWk0vlng6uj22xVPf5PXP9tt+j4Q+Pbavqr+1D8CeoMaRsMNenP13FDwe9G4QL6ex1X76snvS5EUzPvn3QB48OC3Xgg875uH9pntVwvbhnlxceuguM7xMYyTE4hHBo0PkiSoifhwCLy+Dn19A/rKMiT9af8sEkKgcd3ph8HduYir3GTawZpHcUPgWHcyYnYpAN37uP/cG+0W8gd73VDYCYZrV4/fcw7PL3S3hJ3ZiIWNLaj3/BzYHQudo2u0D8po7VdgnFWBMZeOJI/itoQ9WxFo8QAkWYJlWchkMkj/v9NIp9PI5/MjX1OWZayvr7vBcOwJJkaIiIiIiIimjSExjeaH/q+A0bix2zvr7PbyL8c0YUII1IzarQPf8o280wjuPq52Rj80alJUWcWC73boO/jvMW8MymfaehdCwCqVhraB3TD45ATikbu0H6POzzvh76YTBGu9MHhtDbL3edrYlmGjlKsPNYOLZzU0q5MJw8PzPncqorcfHI55IcmP+zNZCIFy7hzZ9Ad3OuLy+BBijA3eQarHg8T2DhKpd4in3iGRfIfgzOz9r2/YaJ9cu5vCndMqYI0XnEu6DH0jAu+2EwxrS0H341Gv1/HFr34H6XQae3t7aLVGP8guGAy6ExJbW1vwPtOvKSIiIiIiomlhSEyj2fkDz30H9EYIIVBulx/c/8038mia0wkTH+JVvHfv/w48nvHOQJamv0f70lmVSj/8vREG27XaVF5TmZnpN4E3+61gbW0dSjAwldccRa8dPNgMLmRqKOcasCfWDg4gthLqHya3/Ph2cE+7UUd2b9edjcimP6BVe/wnXmaXVtyGcCL1DnOr65AfOKhNmDY6mSra+93D5k6uAXPMj5cqw7MRdtvC+koQkuL8/hRCIJvNIp122sKZTGasS6+srLht4Xg8zrYwERERERG9aQyJiWhibGGj1CohXx9u/N7cAu7YnSe/N7/qv9X+HQyB44E4wnqYQdAAq1ZH57h7SFwvDO4GwVa5PJXXlIPB4VmIgTBYiUSm8prjsEwbV7n6rbmIibWD57zuXMTcSgixlQDCMd+j28E9tm2heHrSbQk7oXDpPPPoQ/88gYATCCffYSn1DvHkO3iDwQefIyyBzlnVOWxuv4zO0TWEMWZLWZGgr4Xg2YrCux2BvhaGpPY/adNqtXDw4cANhmtjfMLC6/UimUwilUohmUwiEHi+TzwQERERERE9NYbERDQS0zZRaBbuPfwtX3d2gE1hPvm9hfXwrdZv3D8cCAf1hwOsz5XdaqFzfOIeEje4E2xdFqbympLPB31t7c4wWJmdfTFBvbMdXHWD4GKmhqvsZNrBqkfB3HJgYD84hNhSALpvMv9ZrpevhlrCuf00jNbj2vmSJGNufQNLqf6W8Ex8CZL8cKNe2AJGtu7OR7QPKxDtMQ8glAF9JeRuCuvrYch6v50shMDl5aUbCh8fH8MeYx5jcXHRnZFYWVmB8kDzmYiIiIiI6C1jSExE6Fgd56C3geB38N9zjRwKzQJs8bht0k8x6529Pf8wEAgv+Bfg1/xPfl+vieh00Mlk7jwwzsxmp/KakqZBW1u7fWDc5gbUhYUXEwQDvXZwA8VMFYWzuvNtZvLt4N528NxKcCLt4B7LNHBxdDB0uFzlYvSD2G4KRGfcMHgp9R6LW0loI2zwCiFg5hto7zsHzbUPKxDNMT9pJAHaUhCe7Qg8W1F4NsOQPcP/q2IYBo6Ojtxg+Opq9MMpNU3D1taWGwxHXkA7nYiIiIiI6CVgSEz0xrXMlhv4utu/N+YgSq3Sk9+XBAnzvvk7g9/e4wX/AnRFf/J7e42EZcE4P7/zwDjj7Ax45OFjD1IUaCvLwyHwxgb09Q1oiTikF9jKvGs7+CpXhz3mAWl3UT0KYksBdze49+2k2sGAE8RWi5duGHye/oCLw31YxuMCbUVVsbCVdGYjdpxgOBSbHynEF0LALDT7m8IHFdj18e9DiwecUHg7Cs9mBPIdH69yueyGwgcHBzDN0cPn2dlZNxTe2NiAqvJ/fYiIiIiIiG7i35SIXrG6UX9w/iHfyKPcLj/5fSmSggX/wu3Wb8B5W9wfx5x/DpqsPfm9vWbCtmHm8/0AeDAMzmSARwaFD5IkaIkE9I2BRnD3W215GZL2Mn8OLdNGOd9A4UYg3LyezB52KObtzkQEMbfshMGR+cm1g3uMVgv5gz13Rzi79wH1q8d/UieysDh0uNz8+hbUEX8OhRCwSi13U7h1UIH9iI+nuuBzWsLdtrASuP36lmUhk8lgd3cX6XQaFxcXI19fURSsr6+7h87FYrGx75GIiIiIiOhzw5CY6AUSQuC6c30r+L1oXAwFwlWj+uT3psnanc3fuD/uvm3WOwtFfnkt0tdACAGrUHDnIIbC4JMTiFZrKq+rLiz0A+CNfitYW12F7PFM5TUnpXHdcUPgYqaGwlkNV9kJtYN1uT8V0f02thyEZ4Lt4B5h27jKnQ+1hAsnRxCPbIFrHi/iyZ1uIPweieQOAtGZsa5hltv9TeH9Mqxye+z7UGNed1PYsxWFEr77qwPq9brbFt7f30drjF/roVDIbQtvbW3B88J/zRIREREREb00DImJnpgQAlftqwfbv/lGHk3zcYdMfQqv4r0V+N7cAp7xzLyoPdnXyry6gtENgttHR87jbhhs1+tTeU1lZmagDTzQDF5bgxwITOU1J8mybJRzDTcM7gXDjUm1g2e97m5wby5iGu3gnlathtzeB5x3G8K59Ae06rVHX292edXdEY4ndzC3tg55zE/WWNXOUChsFsf/pIQS9fRD4e0o1Ojdga1t28jlcm5b+OzsbOTXkCQJKysrbjAcj8f55xIREREREdEnYEhMNEGWbaHYKt4Kfgf3fy8aFzDsKcwCfERICzkTEA9sAIf1MIOWCbJqtW7wezR0WJxxdAyrUpnKa8qh0O2N4G4zWAmHp/Ka09CsdoZmIopnNZSyddjmBNrBmozZ5SDmlgOIrYS6oXAAHv/0pjNsy0Lh9HjocLnSeebR1/MGgv2GcOod4skdeAPBsa9j1Q03EG4flGFejP/JKTmkw9vbFN6KQJn13vvnSKvVwsHBAXZ3d7G3t4dabfRQ3OfzIZlMIpVKIZlMwu/ngZVERERERESTwpCYaESGbaDQKDgHwA2EvoOB8GXjEpawnvzeop7ovcFv73FAe/lN0dfIbjbROTm5dVhc5/gYVqEwldeUfL6hbeDBMFiZeV1N7147+OZcRKMymXZwcNbjzkTMrYQQWw4gsuCHPKV2cE+9fOWGwdn0B+T20zDaj5sKkWQZ82ub7o5wIvUeM4mlR/08200T7cNuKLxfgZEbv7UuBzS3JezZjkCd8917L0IIFAoFpNNp7O7u4uTkBPYY8xnxeNxtC6+srECW5bHvl4iIiIiIiD6OITERgI7VuX/6ofttoVmAwKe3GMcV88buDH/jgbhzGJx/AV7V++T39TkRnQ46mYwTBA+EwJ2jI5i53FReU9J1aGurw0Hw+gb0jQ2oC/OvKgjuadY6Tgg8EAZPqh2saDJiS4GhuYjYchDeOw5FmzTTMHB5dODuCGfTH3B9mX/09QIzs1gaOFxucSsJzfO43+N220T76LofCp/XMO4fY5JPhWcrAm9vPmLR/+CvP8MwcHR05AbD5XJ55NfSNA3b29tuMBx+Re13IiIiIiKi14whMb15TbP5YPibb+RRapWe/L5kScacb24o8L25/7vgW4CmTD/kIkCYJozz8+GD4rpBsHF+Djzy8LAHqSr05WW3BawNhMFaIg5JeZ2H/9mWjXK+icJZtRsK11HMVFGfVDt4xjN0kNzcSvBJ2sFA91DJywunIby3i2z6S1wc7sMyzUddT9E0LG4mh6YjQrG5R38SwO5Y6BxfuxMSnUwVGPOXruRR4NmMwLPtHDSnJQIf3WUul8tuKHx4eAhzjI9HLBZzQ+H19XWoKv/XhIiIiIiI6Knxb2L0qtU6taHAd2gGovv26871k9+XKqnD+783wt9F/yLmfHNQZf4WfErCtmHmcv028OBExNkZYExhK1qSoC0tDR8Y152H0JaWIGmv+5MArZqBwlm/GVzM1FA6r8MyPz1Ud9vBA2HwU7WDezqtJvL7abchnE1/iUal/OjrRRbjSCTfuQfMzW9sQlEf/+MRpo3OyTVa+xW0D8ronFQBa7yqsKTJ0DcjTlt4OwptKQhJeTgUtiwLp6enbjB8eXk58uspioKNjQ03GI7FYmPdLxEREREREU0eEyp6kYQQuO5cI1fPPdgArhvj72l+Kl3W7z38Le6PY8G/gJgvBlniduZzEELAvLx0g2BjoBHcOTmFaLen8rrq4uLwNMSm81hbXYWs61N5zadkWzbKF83+XER3Q7henszHs9cOji07YfDcShCReR9k5el+HwnbRil7NrQlXDg5hhCPC7w1rw+JZMptCCeS7+CPRD/tHi0bnUyte9BcBe2ja2DcQF6V4FkPw7PlbArrKyFI6sc/zrVaDXt7e0in09jb20N7jN9L4XDYDYU3Nzfh8XjGu2ciIiIiIiKaKobE9ORsYaPUKt0b/ObreVw0LtCyHnfI06fwqb7b4W9vDqL7tqgn+ir3YN8SIQSscnlgGqLfDDaOj2E3GlN5XSUWu/OwOH11FbLfP5XXfA6tunErDC5l67CMCbSDVRmzSwG3Fey2g4NP36hu1qrIdScjsukPyO59QLv+yE88SRJiy6vdQHgHidR7xFZWIcufNhkibAHj3AmFW/sVdI4qEJ0xfx4UCfpqyDlobisCz1oYkvbxUNi2bWSzWbctfH5+PvJLSpKE1dVVNxheXFzkn5tEREREREQvGENimijLtlBoFh5s/+YbeZj24/Y7P0VIDw2Hvnc0gYNakEHGC2JVqwP7wEdD8xD29XRmRORw+MY0xEb339eghEJTec3nYtsClYsGCgOBcDFTQ+1qMu3gQNQzHAavBBFdeNp2cI9tWSicHruB8Hn6A67OM4++njcUxlK3HRxPvUN8OwVvIPjJ9ylsASNXR7s7H9E+rEC0rPEuIgP6cjcU3o5AXw9D1kcLq1utFvb395FOp5FOp1EfIzT3+XxIJpPY2dnB9vY2/G/oEydERERERERvHUNiGplhGbhsXg5vAN+Ygyg0C7DEmIHGBMx4Zh7c/130L8KvMbB4iexGA52Tk+F94O5EhFUsTuU1Jb+/vw3cawR3v1Wib7Mp3qobbiu42AuEzyfbDh46TO6Z2sE9tasSsnv9HeHcfhrmI6dGZEXB/Prm0OFy0cXERH6dCCFgXjScUHjfCYXtxpifRJMAbSnotIS3o/BshCF7R/vPuxACl5eXbih8cnICe4xDGuPxOHZ2dpBKpbC8vAxZ5swOERERERHRa8SQmD6qaTbxB3/6D6LYLEJgvAORPpUECTFf7MHwdzGwCI/CfcuXzO50YJyc9A+LGwiCzXx+Kq8peTzQ19aGDorT19ehra9DnZ9/k0EwMNwOHjxMbpLt4H4zOIC55RCii8/TDu4xOx1cHO27DeFs+ktUC6MfpHZTcGbWCYN3nEB4cXMbmsc7kXsVQsAsNJ094e6usF0b/8BELe7vbgpH4dkMQ/aPHsgbhoHDw0M3GC6XyyM/V9d1bG1tuTMS4XB47HsnIiIiIiKil4chMX2UT/WhYTQmHhDLkox53/yD+7/zvnloyvO1EWl0wjBgnJ254W9/L/gYxvk5IKbwCQZVhb66euuwOH19HWo8DumNtxp77eChhvCE2sGyKmE2Ebg1F+ELPu8hfEIIXF/m3TA4m/6Ai8MD2NbjJmxUTcfCVhKJ1DtnPiL1HqHY3ETv2Sy1+gfN7ZdhXXfGv895X39TeCsCZcyfh3K5jN3dXaTTaRweHsI0R/94xWIxpFIp7OzsYG1tDarK/3UgIiIiIiJ6a/g3PRrJYmARh5XDkd9flVU39F3wL9y5ARzzxaDK/CX4mgjLgpHNDRwU53xrHB2jc3YGjBE8jUyWoS0v3z4sbn0d2tISpM8gsOq1g4tndRQyVbchXCtNqB0c0Z2JiG4QHFsOIrroh/KM7eCeTrOB3P6eEwh35yMalfKjrxeNJ5yWcNI5XG5+fQOKOtlPRJmVthMKd3eFrUe0uJVZL7zdTWHPVgRKeLyvlrAsCycnJ25b+PJy9Ga1oijY2NhwZyRmZ2fHvX0iIiIiIiJ6Zd5+ukITsejvh8QexXPn5MPgt7PeWcjS8wdMND5nI/WyGwAf9Scijo9gnJxCdMZvQY5CjceHtoHdg+NWViDpz9tefUrtRm87uI5ipopCpobSeR3mJNvB3d3gXjD83O3gHmHbKJ2fuQ3hbPpLFE5PIMTjfuy6z4d40mkIx5PvkEi9gz8cmfBdA1a1MzQfYRaaY19DiXicQLgbDKvR8ectarWaGwrv7++jPcYGczgcdtvCm5ub0D+j33NERERERETEkJhG9D98//8AwAmLI57Im91z/VwIIWBdXd3aB+79IxqNqbyuMjfXD3/XBwLhtVXIPt9UXvOlsm2B68umMxPRnYsoZKoTawf7w/pQM3huJYho/GW0g3ua1Wvk9nbd6Yjc3i7ajfrjLiZJmFtZGzpcbnZ5BbKsTPamAVh1A53DClrdtrB5Mf7vFzmkwbMVddvCyqx37D9XbdtGNpt1ZyTOz89Hfq4kSVhdXXWD4YWFBf65TkRERERE9BljSEwjeTf77rlvgR7Bur6+tQ/cC4XtanUqr6lEItA21uHZ2IDWm4hYdyYilGBwKq/50nWapnuAXC8ULp7VYHYm0A5WJMzEA24g3NsQ9odfVhPUMk0UTo7chnB27wOusqOHmjf5QuGhQDi+vQOP3z/BO+6zW6bTFO62hY1cHeNOtMsBtXvQXASerSjUed+jQtlms4mDgwPs7u5ib28P9froobrf70cymUQqlUIymYTvM/vEDBEREREREd2PITHRK2fX6+icnPQbwQPtYOvqaiqvKQcCt/aBexMRSjQ6ldd8DYQtUCk03c3gXihcLbYmcn1frx3cbQbPrXS3g9WX0w7uqZWKyKY/4Lw7HZE/2IPZeVxLWlYUzK9vDR0uF1mMT635arctdI4qaPVC4bPa2KGw5FXdQ+Y821Foi35I8vj3K4TA5eWlOyNxcnIC2x79kwuJRAKpVAqpVArLy8uQ3/hhjkRERERERPQ4DImJXgG73YZxcoL20RGM3izEoRMEm2McSDUOyeuFvrY2vA/cC4Jjsc/+S9M7TdOdiXC/Pa/DbFuffO2hdvBy/0C5l9YO7jE7HeQP9we2hD+gWnz8r8tQbN5pCXcPl1vY2oamj3dw2ziEYaF9fN09aK6CzmkVsMdLhSVdgWcz7GwKb0WgLQUfFQoDQKfTwdHREdLpNHZ3d1GpVEZ+rq7r2N7edtvC4XD4UfdAREREREREnxeGxEQvhDAMdDKZoUkI4/gY7aMjmNkcIMasMo5C06CvrvaD4IEwWF1YgMTWIYQtcF1sdjeDnXZw8ayG68KE2sEhrRsChzC3HEBsJYSZ+MtsBwNOs7VykR86XO7i6BC2ZT7qeqruweLWNhKp91hKvUc8tYPQ7NyE73qYMG10TqpoH5TR2q+gc3INWGOGwpoMfT3sHjSnLwchfcLe89XVlbstfHR0BNMc/eMZi8Wws7ODVCqFtbU1qCr/005ERERERETj4d8kiZ6QsCwY2Wx3H/hoOBDOnAHWp7dQb5FlaCsrAyFwvxmsJRKQGCi5Oi0TxbM6ipnqwHZwHcYk2sGyhJmEf+ggubmV0IttB/d0mg3k9tND0xHN69GbrTfNJJaQSPa3hOfWNqBM+degsAQ6Z1W0uwfNdY6vIYwx96AVCfpaGN5tZz5CXw1B+oQg3zRNnJ6eusFwoVAY/VYUBRsbG24wPDs7++j7ICIiIiIiIgIYEhNNnBACZj7fPyhuMAg+OYEwjKm8rrqU6AfB672t4A3oK8uQ9JcdRD61Xju4mKmjMBAIT7IdPDgTMbcSxEw88GLbwT3CtlE8O+0fLpf+gELm5NEtdt3n7x4u9849XM4fjkz4rm8TtoBxXnMPmmsfXkN0xgz6ZQn6asg9aM6zHoKkKZ90X9VqFXt7e9jd3cX+/j46nc7Izw2Hw24ovLm5CZ2/p4mIiIiIiGiCGBITPYIQAlap5IS/R8NBcOfkBKLZnMrrqvPz0NfXod04LE5fW4Ps9U7lNV87tx18NjwXMal2cDTu74fBy/3t4New2dy4riC3t4ts+kucpz8gt7eLTrPxuItJEuZW17tbwu+wtPMes0srTzJZImwBI99wAuEDZ1dYtMacv5AAbTkIz3YU3u0o9PUwZM+nhcK2beP8/NzdFs5ms6PfjiRhdXXVDYYXFhZexa8pIiIiIiIiep0YEhM9wKpU+m3gw+F5CLtWm8prKjMz/UbwZn8rWFtbhxIMTOU13wKnHdwaCoMLZzVcX04msPcGtVth8Gw8AEV72e3gHss0UTg5cicjsukvUc6NHlre5AtHkEi9w1J3NiK+nYLu80/wju8nhIB52RwIhcuw648IheMBd1PYsxmB7P30/yQ2m03s7+9jd3cXe3t7aDRGD939fj+SySR2dnawvb0Nn8/3yfdDRERERERENAqGxPTZs2p1GCcDTeCBmQjr6moqrykHg8OHxQ2EwUpk+l+O/9p1WiZK5/V+GJypoXheg9H69HawJEuYiftvzUW8lnZwT7VU6IbBTiCc39+DaYw+bzBIVlQsbGy6O8KJ1HtEFhaf7OMhhIBVbKF14GwKtw/KsKvjz7aoi354tiJOU3gzAiWgTeTeLi4u3Lbw6ekpxBjzHIlEwm0LLy0tQeZhkURERERERPQMGBLTZ8FutdA5OekHwQONYOty9AOjxiH5fNDX1u4Mg5XZ2VcVOD4XIQSqxZa7GVzoBsITawcHNDcEnuseKDebeD3t4B6j08bFwb67I3y+9wG14uN/XYfm5pFIvcdSd0t4YWMb6hNv4JpXLTcQbu9XYFXaY19DnfP1N4W3IlBCk/kxdDodHB4eIp1OI51Oo1IZ/SA/Xdexvb2NnZ0dJJNJhEKhidwTERERERER0adgSExvhuh00MmcoXPc2wnuN4PNMbZAxyFpGrS1teF94G4YrHJDdCxG20LxrHZrLmJS7eDoon8oDJ5bCcIfeV3tYMAJziv5nLsjnE1/wOXxAWzrcR8nVfcgvp3qHzCXfIfgbGzCd/1x1nUb7f0KWt0JCas0/iGCyoynOx8RhXcrAiXimdj9lUolNxQ+PDyENcbHe25uDqlUCjs7O1hdXYWq8j+9RERERERE9LLwb6r0qgjLgpHN9veBBxrBxtkZ8Mig7EGKAm1l+UYQvAF9YwNaIg5J+bTDrT43QghUS63+TEQ3DK5cNoHRv0r/Xp6AOhQEz62EMJPwQ9Ve589Tu9FwD5fL7jmhcLN6/ejrzSSWkUjuILHzFSRS7zC3ug7lGUJLq9Zx9oS7obD5iHa4Etb7m8JbUaizkzu80TRNnJycuDMSxWJx9PtSFGxubiKVSiGVSmF2dnZi90VEREREREQ0DQyJ6cURtg3z4sIJf49uBMGnpxDG+FukHyVJ0BIJ6Bv9IFjrtYJXViBpn75d+jkyOhZKZ3UUMlUUB77tNMc8ZOwOkgS3HRxzQ+EQAtHX1w7usW0Lpcyp2xDOpr9E8ewUGGPjdpDHH0A8ueNOR8STO/CFwhO+69HYDQPtw4rbFjbzox/o1iMHNXi2Ik4wvBWBOueb6M91tVp128L7+/vodEbfcI5EIm4ovLm5Cf2J5zmIiIiIiIiIPgVDYnoWzkFUxduHxR0doXNyAtEa/0vNR6EuLPQbwRvr7mNtdRWyZ3Jfmv65EUKgdtXuNoOrKGTqKJ7VUL5oTKYd7FdvhMHOdrCqv852cE/jujJ0uFxufxed5uP2liVJxtzq2tDhcrNLy5Ce6SA0u2WifXTtNIX3yzCy9bF/Lch+FZ7NCDzJbii84J9oKGzbNs7Ozty2cC6XG/m5kiRhbW3NnZGYn59/tZ+cICIiIiIiImJITFNllcu3D4vrBsJ2vT6V11RmZ4enIXrt4LU1yH7/VF7zc2J0LJTO6/25iO6OcLsxuXbwYBgcWw4iOON59QGcZRq4PD5yD5fLpj+gnH/8VrYvHMHSznskks6WcHw7Bd33fL++7Y6FztG1e9Bc56wK2ONdQ/IqTijcbQpr8QAkebI/741GA/v7+0in09jb20OjMXqjORAIIJlMYmdnB1tbW/D5fBO9NyIiIiIiIqLnwpCYPplVq904KK47DXF0DKtSmcpryuHw7cPiNjagr69BCT/Pl9O/Nb12cC8M7gXClYvGY9cPhnj8aj8IXnk77eCearEwdLjcxcEeTGP0+YJBsqJiYXPLbQgvpd4hPL/4rMG5MGy0T67dTeHOaRWwxvuFIemyEwpvObvC2lJw4qGwEAL5fN5tC2cyGYgxfgEvLS25MxJLS0uQn6mZTURERERERDRNDIlpJHazic7Jya2N4M7xMaxCYSqvKfn9AwFw97C49XXomxtQotFX3yx9ScyOhVK23g+DM5NtB0cW+tvBc8vOt2+hHdxjtFvIH+67sxHZ9AfUSqMfdHZTKDaPxI4TBidS77CwsQ31mTduhWmjk6mivd89bO7kGjDH/GyBKsOzEXYPmtNXgpCUyYeu7XYbh4eH7r7w9fXoB/15PB5sb28jlUohmUwiFApN/P6IiIiIiIiIXhqGxPRRZrGI9A/+jqlcW9J16Otr/UPi3EbwBtQFbnxOmtsOPhsOg8v5ybaDe83g2HIQs0sBaG+kHQw4H8NyPjsUCF8eH8K2rEddT9U9iG+nui3hd0gk3yE4G5vwXY9PWALGeQ2t7qZw5+gawhhzP0KRoK+F4N2OOqHwWgiSOp0mbrFYdEPho6MjWGP8fMzPz7tt4bW1NSjK2/n1SkRERERERDQKhsT0UcrsLGS/H/YY251DVBX6ysrwPnA3EFYTiWc7WOutG2wHD+4HT6IdDAmILvi7cxEBxFZCmHtj7eCedqOO3F7aCYT3PuA8/QGt6ujN1JtmllbchnAi9R5zq+uQX0AoKWwBI1t35yPahxWI9pjBtyxBXwk6m8LbEehrYchT+gSBaZo4Pj52g+FicfTmtqqq2NzcdIPhmZmZqdwjERERERER0WvBkJg+SpIkaBvraH/3i4feCdrS0sBhcRvdiYh1aMvLkFT+UpsWIQTq5bYbAvdC4Um1g3WfithyAHPdIDi2HMTs8ttqB/fYtoVS5tTdEc6mv0Tx7BSP/UB6AgEkku8QT77D0s57xJM78AVfxnyBEAJmvtFtCndD4eaYn0CQAG056G4KezbCkD3T+71+fX3thsIHBwfodEbfeI5Go24ovLm5CU3TpnafRERERERERK8Nkzsaib7uhMTq4uLwgXHdZrC2ugr5mTdTPwemYaF0XncD4WKmhsJZDe36JNvBge5+cAix5QBCs9431w7uaVxXumGwEwjn9nfRaTYfdS1JkjG3tu42hBOpd5hNLL+YprwQAmah6TSF9ytoH1Rg142xr6MlAvBsRZy28GYEsm96/xmxbRuZTMYNhnO53MjPlWUZa2trbjA8P8/5GiIiIiIiIqL7MCSmkcT/x/8RS//z/wzZ73/uW/ksOO3gDgqZaj8MztRQvmhC2J9eD9a9ytAhcrGVIGJLQWiet9cO7rFMA5dHh92WsDMdUcmPHjre5I9E3TB4KfUOi9sp6F7fBO/40wghYJVaaO9X0DpwgmG7Onrztkdd8HWbwlF4tiJQAtNt4DYaDezt7SGdTmNvbw/NMUL7QCDghsLb29vwer1TvFMiIiIiIiKit4MhMY1EnZt77lt4s0zDwlW24QTCmToKZ1UUMpNrB0fmfN1mcLC7IRxEKPZ228GAE5BWi4Whw+Xyh3uwjPGbswAgKyoWN7f7h8ul3iE8v/jiPoZmud1tCju7wla5PfY11JjX3RT2bEWhhKb7FQJCCOTzeezu7iKdTiOTyUCMMe+xvLzsBsOJRALyC2luExEREREREb0mDImJnogQAo1KB4VMrdsQdmYjyvnGRNrBmlfpN4O7YfDsUgC69+3/NjfaLeQP9oamI2pXpUdfLzy/gESyPxuxsLEF9QXOqVjVjhsIt/bLsIqtsa+hRD1DobAa9UzhToe1220cHh66wXC1Wh35uR6PB8lkEqlUCslkEsFgcIp3SkRERERERPR5ePvpEdEzsAwbpWzdPUiutyHcqj2uyXpTeN7nHiI3t9JtB896Ickvq9k6DUIIlHPnyKY/uNMRl8eHELb9qOupHg/i2yk3EE4k3yE4Mzvhu54Mq26g3Z2OaO+XYV6Ov58sh3V4e5vC21Gos08zyVAsFpFOp7G7u4vj42NYljXyc+fn57Gzs4NUKoXV1VUoytudRSEiIiIiIiJ6DgyJiT6BEAKN6467GdwLg8u5BuxJtIM9ihsEx1Y+r3ZwT7tRR3Zv152NyKY/oFUbvXl60+zSSj8QTr3D3Oo65BcaOtpNE+2DihsMG7n62NeQA5rbEvZsR6DO+Z5kJsM0TRwfH7vBcKk0erNbVVVsbm66wXA0Gp3ejRIRERERERERQ2KiUVmGjVKu3w4udgPhZnWC7eDuXETv23Ds82gH99i2heLpCbJ7H9xAuHh2CoyxUTvIEwg4gXDSOVwunnwH7wueJ7DbJtpH191d4QqM8xow5g9d8qnwbEXctrC66H+y7eTr62uk02mk02ns7+/DGGMDOhqNuqHwxsYGNG26B+QRERERERERUR9DYqI71CvtW2HwVXaS7eAAYishdzIitvx5tYN7GpWyOxmRTX9Abj8NozX+hAIASJKMufUNNwxe2nmPmfgSpBd8kJndsdA5vnbmIw7K6GSqwJirGZJHgWcz4raFtUTgyT6xYNs2MpmM2xbO5/MjP1eWZayvr7uHzs3Nzb24gwCJiIiIiIiIPhefXypFNMAybVzl6rfmIibWDp7z3pqLCMd8n1U7uMcyDVwcHQwdLle5GD1UvCkQnelORjjTEYtbSehe3wTvePKEaaNzco1Wd1O4c1oFrPE+8SBpMvTNiNMW3o5CWwpCUp7u11Oj0cDe3h7S6TT29vbQbI4e6geDQTcU3tragtf7NHvIRERERERERPQwhsT02Whcd1DIVFHM1FE4c769ytVhjxnS3UX1KJhbDnRbwUG3Iaz7Ps/fYkIIVIuXbhh8nv6Ai8N9WGPMDwxSVBULW8l+Szj1HqG5+RffPBWWjU6m1p2PKKN9XAXMMavCqgTPWrh70FwE+koIkvp07WghBHK5nDsjkclkIMaY/1heXnZnJOLxOOQX3OwmIiIiIiIi+lx9ngkWvWlOO7iBYqaKwlnd/bZ53ZnI9Xvt4F4zOLYcRGTu82wH9xitFvIHezjvHS639wH1q9EPKrspsrDYP1wu+Q7zG1tQX8FGrbAFjLMa2gdltPYr6BxVIDpjhsKKBH01BE93U9izFoakPW2w2m63cXBw4AbD1eroBwV6vV5sb29jZ2cHyWQSgUBgindKRERERERERJPwakPiH/qhH8LP/dzPjfS+47Te6HVpXHecqYizmjsZMcl2cGwp4B4k97m3g3uEbeMqd+62hLPpXVyeHELYY4ahXZrHi3hypz8dkdxBIDoz4bueDmELGLm6uyncPqhAtK3xLiID+nLI3RTWN8KQdWU6N/yAQqHghsJHR0ewx/j5XFhYcNvCKysrUJSnv38iIiIiIiIierzPO+2iV8OybJRzDfcguV4o3JhQOzgU87ohsNsOnv+828E9rVoNub0PzgFzex+QS39Aq1579PVml1aQ2HmPpW5TOLa6Bll+HaGiEALmRcMJhffLaB9WYDfM8S4iAdpSsN8U3ghDfoZDCw3DwPHxsRsMl0qjN781TcPm5qa7LxyNRqd3o0REREREREQ0da8+JP7+7/9+/MRP/MRz3wZNUOO6g+JZ/xC5QqaGq+yE2sG6PLwb3A2EPZ95O7jHtiwUTo+HDpcrnWcefT1vIDh0uFw8uQNvIDjBO54uIQTMYqu/KXxQgV0bf1dZXfTD290U9mxGIPufZzqjUqm4ofDBwQGMMTaiZ2Zm3Lbw+vo6tFcw/0FEREREREREo3n1yVggEMD3fM/3PPdt0CPcbAf3AuGJtYNnvUO7wXMrQYTnfZDZDnbVy1cDsxEfkNtPw2i3HnUtSZYxv77pTkYkUu8xk1h68YfL3WSWWs50RLctYdwsgAAAOdJJREFUbD3i16M673NawlsReLYiUIL6FO704yzLQiaTcYPhfD4/8nNlWcb6+robDMdisVf3c0lEREREREREo3n1ITG9Ds1apx8Gd+ciStk6bHMC7WBNxuxSoNsMDmFuJeC0g5+prflSmYaBi8N992C5bPoDri9HDw1vCszMYin1HvHkDpZ23mNxKwnN453gHT8Nq9JG66DitoWtq/bY11BiXni3uk3hrQiUsGcKdzqaer2Ovb09pNNp7O3todUaPfQPBoNIpVLY2dnB5uYmvN7X9/NJRERERERERONjSEwTZVs2rvINFAcOkitmaqhXJtMODs543GZwryUcWfCzHXyDEALXlxduQzib/oCLo31Y5pj7uV2KpmFxMzk0HRGKzb3KZqlV7aB9UHHbwmahOfY1lIjHCYS7ExJq9PnCVCEEstms2xbOZMabB1lZWXGD4Xg8/ip/TomIiIiIiIjo0zAkpkdr1QwUMlUUz+rut6XzOizT/uRrK5qM2FLA3QzuBcPeANvBd+m0msjvp53D5brzEY1K+dHXiyzGkUg6gfBS6h3mNzahqK/zY2/VDXQOK2h1N4XNfGPsa8ghHZ7tiNsWVma9zxqmtttt7O/vu8FwrTb6QYJerxfJZBKpVArJZBKBQGCKd0pEREREREREr8GrD4m//PJL/Lbf9tvw5ZdfwjAMzM3N4fu+7/vwR//oH8Wf+BN/gocrTYBtC2c7+KyKYqbebQdXJ9oOjq0EMcd28EiEbaOUPRvaEi6cHEOIx4XzmteHRDLlNoQTyXfwR6KTveknZLfMblPYmZAwcnVgzFUTOaDC485HRKHO+541FBZCoFAouKHw8fExbHv0n+/FxUWkUimkUimsrKxAUZQp3i0RERERERERvTavPiTO5/NDhzGdnZ3h7OwM/+7f/Tv8vb/39/Cv//W/xle+8pWxr/uxL9nOZrNjX/O1qpVa+H/8T7/wyddRNBmzid52cD8UZjv4Yc1aFbm93f50xN4HtOv1x11MkhBbXnUD4aXUO8yurEKWX29oaLctdI4q7q6wcVYbOxSWvKpzyNx2BN7tKNQFP6Rn/iSFYRg4Ojpyg+Grq6uRn6tpGra2ttxgOBKJTPFOiYiIiIiIiOi1e7UhsSzL+L2/9/fiD/7BP4jf8lt+C2KxGKrVKr797W/jH//jf4wvvvgC3/3ud/G1r30Nv/iLv4i1tbWxrr+6ujqlO399QjEvdJ+KTnP0PdvgjGdoNzi2HER0wQdZkad4p6+fbVkonB67gfB5+gOuzsfbmB3kDYWxlHrnHC6X+griyRQ8/tc9LyAMC+3ja7T3nbZw57QK2OOlwpKuwLMZ7m4KR6ElAs8eCgNAuVx2Q+GDgwOYY2xIz8zMYGdnB6lUCuvr6/wqCiIiIiIiIiIamSSEGLNz9zKUy2VEo9E7v88wDPzFv/gX8S/+xb8AAPzIj/wIfvqnf3qs64/zpeWnp6dYWVkZ6/qvzU//37+F7F7l1tsVVcZsdzvYnYtYDsIbZEA1itpVaehwudxBGma7/ahryYqC+fXNocPloouJV38QmTBtdE6qaB+U0dqvoHNyDVhjhsKaDH0j7E5I6MshSMrzf1wsy0Imk8Hu7i7S6TQuLi5Gfq4sy9jY2HDbwnNzc1O8UyIiIiIiIiJ6KTKZjFtwnVQuOdUmsWmaE2mz/cRP/AT+3J/7c0Nvuy8gBpwvtf5n/+yf4Rd+4Rfw5Zdf4t/8m3+Ds7MzLC8vj/yap6enD35/NpvFV7/61ZGv99rNLQdxXWj1D5FbCWBuOYToItvBozI7HVwc7bsN4Wz6S1QLl4++XnBmFomd924gvLi5Dc3jneAdPw9h2ehkamgflNHer6BzfA1hjLm3rErwrIW7ExJR6KshSOrL+HVar9fdtvD+/j5ardbIzw2FQm4ovLW1BY/HM8U7JSIiIiIiIqLPxaudm/gYVVXxF/7CX8Bf/+t/HQDwcz/3c/iTf/JPjvz8t94MHtfv+NEUftefePfct/FqCCFwfZl3w+Bs+gMuDg9gW6PPBwxSNR0LW0n3YLmlnfcIxd5Gc1TYAsZ5rTsfUUb78BqiY413EVmCvhpyD5rzrIcgaS9jZ9m2beRyObctfHZ2NtbzV1ZW3BmJeDz+6pvhRERERERERPTyTDUkVlUVX3zxxSdfJ5FIPOp5v+E3/Ab38bjBDA1jW/hhnWYDuf09JxDec6YjGpXyo68XXUx0ZyOc6Yj59Q0o6tuY8BC2gJFvoL1fdv45rEC0xgyFJUBbCcHbawqvhyF7XkYoDACtVgsHBwfY3d3F3t4earXayM/1+XxIJpNIpVLY3t5GIPC6N6SJiIiIiIiI6OWbepP4/fv3036Je73SuWV64YRto3SecXeEs+kvUTg9gRBjTiJ06T4f4tspJFJfcYNhfzgy4bt+PkIImJfNfih8UIHdGLNRLQFaPNA9aC4Cz2YEsvflfCGEEAKFQgHpdBq7u7s4OTmBbY/+62FxcdFtCy8vL0NRXk7gTURERERERERv38tJWabgu9/9rvt4aWnpGe+EXrNm9dptB2fTH5Db20W7UX/cxSQJcytrQ4fLzS6vQJbfTigohIBVbKHV3RRuH5RhV42xr6Mu+uHZisC7HYVnKwLZ/7Ka1IZh4OjoyA2Gy+XyyM/VNA1bW1vY2dlBMplEJPJ2PilARERERERERK/Pmw2JTdPEP//n/9z999/1u37XM94NvRaWaaJwcuQ2hLN7H3CVPX/09Xyh8FAgHN/egcfvn+AdvwzmVau/KbxfhlXpjH0Ndc7ntIS7obAS1Kdwp5+mXC67ofDh4SFMc/RG9OzsLFKpFHZ2drC+vg5VfbN//BIRERERERHRK/MqU4qf/dmfxfd+7/ciGo3e+f2GYeAv/sW/iC+//BIA8MM//MNYXV19wjuk16JWKiKb/oDz7uFy+YM9mJ32o64lKwrm17eQSO1gKfUeidR7RBbf5kFj1nUb7f0KWt35CKvUGvsayqx3qCmsRDxTuNNPY1kWTk9P3WD48vJy5OcqioL19XW3LTw39zYOGiQiIiIiIiKit+dVhsT/4l/8C/zhP/yH8Yf/8B/GD/3QD+Hdu3cIh8Oo1Wr41re+hX/8j/+xe2DewsICfvzHf/yZ75heArPTQf5w32kId6cjqsXRQ7+bQrF5pyWc3EEi9R4LW9vQ9JcXdE6CVeugfVBxN4XNy+bY11AiOjxb3U3hrSjUWe8U7vTT1Wo17O3tYXd3F/v7+2i3R/+kQSgUctvCm5ub8Hje5q8HIiIiIiIiInpbXmVIDDhBzk/+5E/iJ3/yJ+99n9/0m34Tfuqnfgqbm5tPeGf0EgghULnIDwTCX+Li6BC2NeaBaV2q7sHi1jYSqfdYSr1HPLWD0OzbbYbaDcMJhQ+ctrCZb4x9DTmoudMRnu0o1Jj3RbaqbdtGNptFOp1GOp3G2dnZyM+VJAkrKytuMLy4uPgif4xERERERERERA95lSHx3/ybfxO/9bf+Vvz8z/88vvvd7+Ly8hKlUgkejweLi4v4/u//fvyxP/bH8CM/8iNQlLdzIBjdr91oILe/6wTC3UPmmteVR19vJrGERLK/JTy3tgHlDW/I2i0T7aNrtPfKaB+UYWTrgBjvGrJfdQNhz1YE6oL/xQamrVYL+/v7bjBcr49+EKHP50MymUQqlUIymYT/DW5MExEREREREdHn5VWmXl/5ylfwla98BT/2Yz/23LdCz0DYNopnp/3D5dIfUMicAGLMVLNL9/m7h8u9cw+X84cjE77rl8XuWOgcXaN9UEZrvwLjrArY411D8irwbEbcCQktHoAkv8xQWAiBy8tLd1v49PQUtj36Dzgej7tt4eXlZciyPMW7JSIiIiIiIiJ6Wq8yJKbPS+O6gtzeLrLpL3Ge/oDc3i46zfHnDwAAkoS5lTUkdpyG8FLqPWaXViC98dBPGDbaJ9fOpvB+BZ1MFbDGC9UlXYa+0T1objsCbSn4YkNhwDnA8vDw0G0Ll8vlkZ+r6zq2trbcQ+fC4fD0bpSIiIiIiIiI6JkxJKYXxTJNFE6OcD6wJVzOZR99PV844obBTks4Bd339ucBhGmjk6mivd89bO7kGjDHbFqrMjwbYXdCQl8JQlJedph+dXXlhsKHh4cwzdE3qGOxmNsWXltbg/qG50WIiIiIiIiIiAYxBaFnVS0VumGwEwjn9/dgGp1HXUtWVCxsbnVnI95jKfUO4fnP4yAxYQl0zqrOYXP7ZXSOriGMMfcjFAn6WgierSi82xHoa2FI6ssOhS3LwsnJiRsMX15ejvxcRVGwsbGBVCqFVCqFWCw2xTslIiIiIiIiInq5GBLTkzE6bVwc7Ls7wud7H1ArFh59vdDcvBsGx5PvsLi5DVXXJ3jHL5ewBYxs3WkJH1TQPqxAtK3xLiJL0FeC7kFz+noYsv7yD3qs1WpuKLy/v492uz3yc8PhsNsW3tzchP6Z/HohIiIiIiIiInoIQ2KaCiEEKvmcuyOcTX/A5fEBbGvMILNL1T2Ib6f6B8wl3yE4+/k0P4UQMPMNtPedg+bahxWI5uhTCgAACdCWg/2m8EYEsuflh8K2beP8/NwNhs/Pz0d+riRJWF1ddYPhhYWFz6JZTkREREREREQ0DobENBHtRsM9XC6754TCzer1o683k1h2ZyMSqXeYW12H8hltxAohYBaa/U3hgwrsujH2dbREwN0U9mxGIPtex8ew2Wxif3/fDYYbjdEPKvT7/Ugmk0ilUkgmk/D5fFO8UyIiIiIiIiKi1+91JEb0oti2hVLm1G0IZ9Nfonh2CogxD0br8vgDiCd3BqYjduALhSd81y+bEAJWqeVuCrf2K7Cr428zqwt+eLYj8G5HoW9GoAS0Kdzt5AkhcHFx4YbCJycnEGP8ekokEu628PLyMmT5ZW8pExERERERERG9JAyJ6aOMVgsnv/4dNxDO7e+i02w+6lqSJGNudc1tCCdS7zG7tAzpMwz1zHK7vym8X4ZVHn1bt0ed83WbwhF4tqJQQq9nY7fT6eDw8NANhiuVysjP1XUd29vbbjAcCoWmeKdERERERERERG8bQ2L6qHr5Cv/2//Y/Peq5/kjU3RBOpN4jvp2E7vNP+A5fB6vaGQqFzWJr7GsoUY8zHbHtTEioEc8U7nR6rq6usLu7i3Q6jcPDQ1hjbFTPzc25ofDa2hrUz2h+hIiIiIiIiIhompiy0EdFFuPwhcIf3RiWFRWLm9v9w+VS7xGe/3wPCrPqBtoHZWdX+KAM82L89rUc1uHdjrq7wuqsdwp3Oj2maeLk5MRtCxcKhZGfqygKNjc33WB4dnZ2indKRERERERERPT5YkhMHyVJEhKpdzj49jeH3h6eX3AbwonUOyxsbEHVX8/cwaTZTdNpCXeDYSNXH/sackBzW8KerQjUOd+rC9mr1aobCu/v76PTGX1bORwOY2dnB6lUCpubm9A/419PRERERERERERPhSExjWT1N/5mdFrN/pZw8h2CM593s9Num2gfXvdD4fMaMObZfZJPhWcrAu9WBJ5kFOqC/9WFwrZt4/z8HOl0Gru7u8hmsyM/V5IkrK2tuW3hhYXPt3lORERERERERPRcGBLTSL7/v/8RfP9//yPPfRvPyu5Y6Bxfu/MRnUwVsMe7huRR4NmMuG1hLR6AJL++ULTZbGJ/f99tDDcajZGf6/f7kUwmsbOzg+3tbfh8vineKRERERERERERfQxDYqJ7CMNG++TaPWiuc1oFrPGqwpImQ9+MOG3h7Si0pSAk5fWFwkIIXFxcuG3h09NTCDH6xyKRSLgzEktLS5BleYp3S0RERERERERE42BITNQlLBudTA3tvbIzIXFcBcwxq8KqBM96GJ6tKDzbEegrIUjq6wxEO50ODg8P3bZwpVIZ+bm6rmN7exs7OztIJpMIhUJTvFMiIiIiIiIiIvoUDInpsyUsAeO8hvZBGa39CjpHFYjOmKGwIkFfDbkHzXnWwpC01xkKA0CpVHJD4cPDQ1iWNfJz5+bmkEqlsLOzg9XVVagq/3ghIiIiIiIiInoNmOLQZ0PYAkau7mwK75fRPqxAtEcPQQEAMqAvh9xNYX09DFlXpnPDT8A0TZyenmJ3dxfpdBqFQmHk5yqKgs3NTXdGYmZmZop3SkRERERERERE08KQmN4sIQTMi8ZQKGw3zPEuIgHaUtBpCW9H4dkIQ/a+7t821WrVbQvv7++j0+mM/NxIJIJUKoVUKoXNzU3ouj7FOyUiIiIiIiIioqfwutMuogFCCJiFpnvQXPugArtmjH0dLe53N4U9mxHIfm0Kd/t0bNvG+fm52xbOZrMjP1eSJKytrbkzEvPz85Ck13fwHhERERERERER3Y8hMb1qZqnlBsLt/TKs69FbsT3qvK+/KbwVgRJ8/e3YZrOJ/f197O7uYm9vD41GY+Tn+v1+ty28vb0Nn883xTslIiIiIiIiIqLnxpCYXhWz0nZC4f0K2gdlWFftsa+hzHrh3e42hbciUMKeKdzp0xJCIJ/PuzMSp6enEEKM/PylpSU3GF5aWoIsv97D94iIiIiIiIiIaDwMielFs6odtA96oXAFZqE59jWUiMc9aM6zHYEa9U7hTp9ep9PBwcGBGwxfX1+P/FyPx4Pt7W03GA4Gg1O8UyIiIiIiIiIieskYEtOLYtUNZzqiGwybF6PPJPTIIQ2erajbFlZmvW9mR7dUKrnbwkdHR7Asa+Tnzs/Pu6Hw2toaFEWZ4p0SEREREREREdFrwZCYnpXdMocOmjNydWD0lQQAgBxQ+wfNbUWhzvveTChsmiaOj4/dtnCxWBz5uaqqYnNz0w2GZ2ZmpninRERERERERET0WjEkpidlty10jipodTeFjbPa2KGw5FXdQ+Y821Foi35I8tsIhQHg+vraDYUPDg7Q6Yx+GF80GnVD4c3NTWiaNsU7JSIiIiIiIiKit4AhMU2VMCy0j6+dTeH9MjqZGmCPlwpLHgWejXB3UzgKLRF4U6Gwbds4OztzZyRyudzIz5VlGWtra24wPD8//2Za1ERERERERERE9DQYEtNECdNG56SK9kEZrf0KOifXgDVmKKzJ0DfC7oSEvhyCpLyt4LPRaGB/fx+7u7vY29tDszn6gXyBQMANhbe3t+H1vo2D+IiIiIiIiIiI6HkwJKZPIiwbnUzNPWiuc3wNYdjjXUSV4FkLO/MRySj0lRAkVZ7ODT8TIQTy+bzbFs5kMhBi9PB8eXnZDYYTiQRk+W19fIiIiIiIiIiI6PkwJKaxCFvAOK858xEHZbQPryE61ngXkSXoqyHnoLntKDxrIUiaMp0bfkbtdhuHh4duMFytVkd+rsfjQTKZRCqVQjKZRDAYnOKdEhERERERERHR54whMX2UVeug8cuXaO+X0T6sQLTGDIUlQFsJwds9aE7fCEPW314oDADFYhHpdBq7u7s4Pj6GZY3+sZqfn8fOzg5SqRRWV1ehKG/zY0RERERERERERC8LQ2L6KLtpovK/H4z+BAnQEgF3U9izGYHsfZu/1EzTxPHxsRsMl0qlkZ+rqio2NzfdYDgajU7vRomIiIiIiIiIiO7xNpM7mih1zgclrMO67tz/Pot+eLejzq7wVgSyX3vCO3xa19fXSKfTSKfTODg4QKdz/8flpmg06obCGxsb0LS3+3EiIiIiIiIiIqLXgSExfZQkSfBsR9H4pQv3beqcr78pvBWBEtSf8Q6ny7ZtZDIZty2cz+dHfq4sy1hbW3OD4bm5OUiSNMW7JSIiIiIiIiIiGg9DYhqJ7zfGAEVy28JKxPPctzRVjUYDe3t7SKfT2NvbQ7PZHPm5wWAQqVQKqVQKW1tb8Hq9U7xTIiIiIiIiIiKiT8OQmEbi+545+L5n7rlvY2qEEMjlcu6MRCaTgRBi5OcvLy+7beF4PA5Zlqd4t0RERERERERERJPDkJg+W+12GwcHB24wXK1WR36u1+vF9vY2dnZ2kEwmEQgEpninRERERERERERE08OQmD4rhULBDYWPjo5g2/bIz11YWHDbwisrK1AUZYp3SkRERERERERE9DQYEtObZhgGjo+P3WC4VCqN/FxN07C5uem2haPR6PRulIiIiIiIiIiI6JkwJKY3p1KpuKHwwcEBDMMY+bkzMzNIpVLY2dnB+vo6NE2b4p0SERERERERERE9P4bE9OpZloVMJuMGw/l8fuTnyrKM9fV1NxiOxWKQJGmKd0tERERERERERPSyMCSmV6ler2Nvbw/pdBp7e3totVojPzcYDCKVSiGVSmFrawter3eKd0pERERERERERPSyMSSmV0EIgVwuh93dXaTTaWQymbGev7Ky4gbD8XgcsixP6U6JiIiIiIiIiIheF4bE9GK1223s7++7MxK1Wm3k53q9XiSTSaRSKSSTSQQCgSneKREREdH/v707j46qPv84/slCNpAEAoSEYFhCMFRBKQQ9ioIKQSSiuCC1ilQWj+JRW63VnxJoLSpSq1Vb0SJaZCm4sLqgAhplIIAo9CgQENlkS0igBEIy4fv7g5PbQGZLcmcmYd6vc+ac0fud733IffLkO8/cuRcAAABovGgSo8EwxqioqMg6W3jnzp06deqUz69PSkqyzhZOTU1VRESEH6MFAAAAAAAAzg00iRFUFRUV2rlzp9UYLi4u9vm1TZo0UadOnazGcHx8vB8jBQAAAAAAAM5NNIkRcCUlJdYlJHbs2KGKigqfX9uiRQtlZGSoS5cuSktLU5MmTfwYKQAAAAAAAHDuo0kMv6usrNSePXuss4UPHjzo82vDw8PVoUMH62zhVq1a+TFSAAAAAAAAIPTQJIZflJaWatu2bdq6dau2b9+usrIyn1973nnnWU3hTp06KTo62o+RAgAAAAAAAKGNJjFscerUKe3fv986W3jv3r0+vzYsLEypqalWY7ht27YKCwvzY7QAAAAAAAAAqtAkRp2VlZXpxx9/1NatW7Vt2zYdO3bM59fGxsYqPT1dXbp0UXp6uuLi4vwYKQAAAAAAAAB3aBLDZ8YYFRYWqqCgQFu3btWuXbt06tQpn1+flJRk3XQuNTVV4eHhfowWAAAAAAAAgC9oEsOr4uJiORwObd26VSUlJT6/rkmTJurUqZPVGG7evLn/ggQAAAAAAABQJzSJ4dWpU6eUn5/v09iWLVtaTeG0tDRFRpJiAAAAAAAAQENGBw9eJSYmqmXLljp8+HCNbREREUpLS7Maw4mJiUGIEAAAAAAAAEBd0SSGTzIyMrR69WpJ0nnnnacuXbooIyNDHTt2VHR0dJCjAwAAAAAAAFBXNInhk4suukhxcXHKyMhQUlKSwsLCgh0SAAAAAAAAABvQJIZP2rVrp3bt2gU7DAAAAAAAAAA2Cw92AAAAAAAAAACA4KFJDAAAAAAAAAAhjCYxAAAAAAAAAIQwmsQAAAAAAAAAEMJoEgMAAAAAAABACKNJDAAAAAAAAAAhjCYxAAAAAAAAAIQwmsQAAAAAAAAAEMJoEgMAAAAAAABACKNJDAAAAAAAAAAhjCYxAAAAAAAAAIQwmsQAAAAAAAAAEMIigx1AY+V0Oq3n+/btC2IkAAAAAAAAAEJF9V5k9R5lfdAkrqNDhw5Zz7OysoIYCQAAAAAAAIBQdOjQIXXo0KHe83C5CQAAAAAAAAAIYWHGGBPsIBqjsrIybdq0SZLUunVrRUae2ydl79u3zzpjOj8/X8nJyUGOCOcC8gr+QF7BbuQU/IG8gj+QV/AH8gp2I6fgD6GWV06n07rKwUUXXaSYmJh6z3ludzb9KCYmRr179w52GEGRnJys1NTUYIeBcwx5BX8gr2A3cgr+QF7BH8gr+AN5BbuRU/CHUMkrOy4xUR2XmwAAAAAAAACAEEaTGAAAAAAAAABCGE1iAAAAAAAAAAhhNIkBAAAAAAAAIITRJAYAAAAAAACAEEaTGAAAAAAAAABCGE1iAAAAAAAAAAhhYcYYE+wgAAAAAAAAAADBwZnEAAAAAAAAABDCaBIDAAAAAAAAQAijSQwAAAAAAAAAIYwmMQAAAAAAAACEMJrEAAAAAAAAABDCaBIDAAAAAAAAQAijSQwAAAAAAAAAIYwmMQAAAAAAAACEMJrEAAAAAAAAABDCaBKHmGPHjunLL7/U1KlTddttt6ljx44KCwtTWFiYOnTo4Jd9OhwO3XnnnerQoYNiYmKUnJysQYMGae7cuT7P4XQ6NW3aNF155ZVq3bq1YmNjlZ6ernvvvVfff/+9X+JG7Rw/flzPP/+8srKy1LJlSzVr1kyZmZl65JFHtGvXrnrPX5WntXm4cvfdd/v8+p9++qnecaN+/J1XK1eu9DkfJk6c6HU+alXj4O+8cjqd+vTTT/Xoo4+qb9++at26tZo0aaKEhAT17NlTjzzyiLZv3+51HupV8O3atUuPPPKIMjMz1bRpU7Vs2VJZWVmaOnWqjh8/btt+5s6dq+zsbCUnJysmJkYdOnTQnXfeqdWrV/s8R1FRkXJzc9WjRw/Fx8erefPm6tGjh3Jzc1VUVGRbrKg/f+bV0aNHNXfuXI0ZM0Y9e/ZUQkKCoqKi1Lp1a/Xr109Tp05VSUmJ13k6dOjgU+3x1/sH1J4/82rixIk+/z1auXKl1/moV42Dv3KqNuvvqke/fv1czkWtahwOHjyoJUuWaMKECbruuuvUqlUr69jcfffdftkna6s6Mggp/fr1M5JcPtLS0mzf36RJk0x4eLjbfebk5JgTJ054nKOwsND06dPH7RzR0dFm+vTptscO323bts107drV7TGKj483S5curdc+3M3t7pGRkeFynpEjR/o8x44dO+oVM+onEHm1YsUKn/MhNzfX41zUqsbB33l18OBBk5iY6DWfoqKizIsvvuhxLupVcC1ZssTEx8e7/Zl37drVbN++vV77OHHihBkyZIjbfYSHh5s//vGPXufJz883ycnJbudJSUkxa9eurVessIc/8+rDDz800dHRXutFUlKSWb58uce50tLSfKo9/nj/gNrzd73Kzc31+e/RihUrPM5FvWoc/JlTtVl/Vz3Gjh3rci5qVePg6diMHDnS1n2xtqqfSCGkGGOs5y1atFCvXr3kcDh07Ngx2/f1z3/+U7m5uZKkzp0764knntBFF12kn3/+WS+99JJWrFihxYsXa/To0XrnnXdczlFZWalhw4ZpzZo1kqRhw4ZpzJgxatmypdasWaOnn35aBw8e1NixY9WuXTtlZ2fb/u+AZ8eOHdOQIUO0ZcsWSdKYMWN0++23KzY2VitWrNAzzzyjI0eO6NZbb5XD4VD37t3rtJ9NmzZ5HfP2229r6tSpkqSRI0d6HJuSkqJPPvnE45h27dr5HiBsFai8qu7NN99U79693W5v06aN223UqsYhEHl18uRJ68yCiy++WEOHDlWfPn2UlJSkI0eO6KOPPtLLL7+ssrIyPfTQQ4qNjdXYsWM9zkm9CrzvvvtOt912m44fP65mzZrp8ccfV//+/XXixAnNnTtXb7zxhrZs2aLrr79ea9euVbNmzeq0n3vuuUdLliyRJPXv318PPvigUlJStGnTJk2ePFnbt2/XhAkTlJycrNGjR7ucY+/evcrJydGBAwcUGRmp3/72txoyZIgkacmSJXrhhRf0888/a8iQIVq/fj25EkT+zquioiKdPHlS4eHhGjBggAYNGqQePXooISFBe/bs0axZs/Tvf/9bBw4c0JAhQ/T111/r4osv9jjn0KFD9fTTT7vdHhUVVasYYb9A1asq3tbkHTt2dLuNetU4+Dunevfu7dN7u/Hjx+uLL76Q5P29HbWq8Wjfvr0yMzO1bNkyv8zP2qqegt2lRmBNmzbNzJo1yxQUFFj/r+rTNzs/XSsuLjYJCQlGkjn//PPNoUOHztjudDpNTk6O9SnMF1984XKeGTNmWGPuu+++GtsLCgpM8+bNjSTTpUsXU1FRYdu/Ab6pfmbBlClTamxftWqViYyMNJJM//79/RpLVlaWkWTCwsLMzp07XY6pOjOPT5MbtkDlVfUzGbyd+eIJtapxCERe7dmzxwwYMMA4HA63Y1avXm1iY2ONdPrM5aNHj7ocR70KnqpvXkVGRppVq1bV2D5lyhQrlyZNmlSnfaxcudKaIycnxzidzjO2Hzp0yJx//vlGkmnRooUpLi52OU/1M87nzZtXY/u8efOs7aNGjapTrLCHv/Nq7ty5Zty4cW7XQMYY87e//c3ax9VXX+12XNX7A7vP8IL9AlGvqv/9rA/qVeMQiJzypri42PpmRHp6uttx1KrGYcKECWbx4sVm//79xhhjduzY4ZcziVlb1R9NYvilSVz9D8ecOXNcjtm9e7eJiIgwksyQIUNcjunWrZv1C1xaWupyzDPPPGPt691337Xt3wDvysvLrQ8DMjMzTWVlpctx48aNs47RunXr/BLL5s2brX14au7QdGn4AplXdjWJqVUNX0OqV8YY87vf/c7az/vvv+9yDPUqOPLz861jM27cOJdjKisrTWZmpvV7X15eXuv9DB482EgyERERZvfu3S7HzJkzx4pl6tSpNbbv37/fWktlZ2e73Vd2dra1r6o3aAisQOWVL3r16mV95bawsNDlGBovjUOg8sqOJjH1qnFoKLXqtdde86kRTa1qnPzVJGZtVX/cuA5+sWDBAklS8+bNNWzYMJdjUlNTde2110qSPv300xqXvCgoKLBu9DR8+HDFxcW5nKf6hc7ff//9ekaO2li5cqV185ORI0cqPNx1SQnEMfrXv/5lPff2dSQ0bA0pr3xBrWocGlpe9e/f33ruy03sEDhVaxhJGjVqlMsx4eHhuuuuuyRJxcXFPt2oqbpjx47p888/lyQNGDBAqampLscNGzZMzZs3l+Q6HxctWqTKykqPsUr/y+vKykotWrSoVrHCHoHIK19V3QDq1KlT2rFjh1/2gcBoSHnlDfWqcWgoOVX13i4sLEx33nmn7fPj3MPayh40iWG78vJy5efnS5Iuu+wyj9f/ueqqqySdvobj2rVrz9iWl5dXY5wrbdu2VUZGhiTpq6++qnPcqD1fj1GvXr3UtGlTSf45RsYYzZo1S5LUtGlT3XzzzbbvA4HTUPLKV9SqxqGh5dXJkyet5+4a1giOqlxp2rSpfvnLX7odVz2Papsr+fn5Vg54yseoqChdeuml1msqKipcxuptnvrECnsEIq98Rf05dzSkvPKGetU4NISc2r59u1atWiVJ6tu3r8frXANVWFvZg1UBbFdQUCCn0ylJuuCCCzyOrb79hx9+OGNb9f/2dZ7du3ertLS0VvGi7nw9RpGRkercuXON19hl5cqV2rlzp6TTnwz6cvOEoqIi9e3bVwkJCYqOjlZycrKys7P1yiuv6Pjx47bHCN8FK6+eeOIJpaamKioqSi1atNAll1yihx9+WFu3brUl3urbqVWB11DqVZWqG7F4i0eiXgVa1XFPT09XZKT7ezx7WsP4uo+z5/G0H6fTqYKCApfzxMfHq23btm7nSE5Ots6a8Wdew71A5JWvqupPZGSk0tPTPY798ssv1b17dzVt2lRxcXHq2LGjhg8frgULFpxxQ2wERzDyasCAAUpMTFRUVJTatGmjfv366dlnn1VxcbFPsVKvGraGUKvq8g1RahVYW9mDJjFst3v3buu5u1P8q7Rv397l6+o6jzFGe/bs8TlW1E/VMWratKkSEhI8jq06RocOHTrjDBY7VF9IVH31yZtjx47pq6++0pEjR1ReXq79+/dr2bJleuCBB5SRkWF9eo3AC1ZeORwO7d27VxUVFSopKdG3336rF198UZmZmZo4caLbBSa1qnFoKPVKkvbt26cZM2ZIklq1anXGpSdcoV4FTllZmQoLCyV5/31u0aKFddb52WsYb+xeK3mbo/o8tY0V9ReovPLF0qVLtXHjRklSdna29QbXnR07dmjTpk06fvy4Tpw4oZ9++knz5s3TTTfdpL59+2rv3r22xwjfBCuvPvvsMx0+fFgVFRU6dOiQvvjiCz3++OPq1KmTFi5c6PZ11KuGr6HUqnfeeUeSFBsbq1tuucWn11CrwNrKHu4/GgLq6L///a/13NsZnVV/WCTVuCaxXfPAf6qOkS9n7p59jKKjo22J4fjx43rvvfcknS7kV199tcfxYWFhuvTSS5WTk6OePXsqKSlJZWVl2rRpk6ZPn678/Hzt3btXAwcOVF5eni655BJb4oTvAp1XycnJGjZsmK644gp16tRJkZGR2rVrlxYvXqyZM2eqoqJCkyZNUnl5uSZPnuw2Xl9iplYFT0OoV9LpDwjuvfdeK56nnnpKsbGxLsdSrwKvNr/P0ulcKS0trfXvs91rpdrkNbUn8AKVV94cPnxY999/vyQpIiJCf/rTn9yOjYqK0g033KCBAwfqwgsvVHx8vEpKSuRwOPSPf/xDu3fv1tdff60BAwbI4XAoPj7e1ljhXaDz6qKLLtKNN96orKwspaSkqKKiQlu2bNGsWbO0bNkylZSU6Oabb9bixYt13XXXuY2XetVwNYRalZeXpx9//FGSdNNNN3n9IItahSqsrexBkxi2Kysrs557uh6xpDPeeJ84ccIv88B/qo6Rt+Mj+e8YLViwwCrkv/71r71eW++vf/2ry7MIL7vsMo0ZM0ZPPvmkJk+erNLSUo0ePVrr1q1TWFiYbfHCu0DmVe/evbVz5041adLkjP/fs2dP3XjjjRo3bpwGDhyoI0eO6Nlnn9Vtt92miy++2GW8vsRMrQqehlCvJGny5MnWzS369++v8ePHux1LvQq82vw+S//Lldrmid1rJX/GivoLVF55UllZqTvuuMO6PNeTTz7p8YOl/Px8l/WnX79+Gj9+vG655RYtW7ZMP/zwgyZNmqQXXnjBtljhm0Dm1UMPPaSJEyfW+P99+vTRXXfdpWnTpunee+9VZWWlRo8erW3bttX4AJR61fA1hFo1c+ZM67kv3xClVqEKayt7cLmJBsjpdCosLKzej7feeiso8cfExFjPy8vLPY6t/jXesxcSds0D/+VU1THydnwk/x2j2l5qwtPXzMPCwvTnP/9Z1157rSTpm2++4WvcHpwLedW0adMaDeLqsrKy9Oqrr0o6fQZo1fPqqFX2Ohfyyp1Zs2bpqaeekiR16NBBs2fP9vjBFvUq8Grz+yz9L1dqmyd2r5X8GSvqL1B55cl9992njz/+WJJ0/fXXW7XIHU/157zzztO8efOUmJgoSXr99dd9+nfBXoHMK2+XaRo3bpxGjx4tSfr555/1/vvv1xhDvWr4gl2rTp48qfnz50uSUlJSrDWOJ9QqVGFtZQ+axLDdeeedZz33dtp99Rs3nX06v13zwH+qjpEvX6/wxzHat2+fPvvsM0mnzwjNzMy0Zd5x48ZZz6vfXAqBEey8Otvw4cOtr6a5ygdqVeMQ7LxaunSpRo0aJWOMkpKS9Omnn3q8GYavqFf2qs3vs/S/XKltnti9VvJnrKi/QOWVO48//rhef/11SdIVV1yh+fPnKyIiol5zxsfH6/bbb5d0Ot5169bVO07UTrDz6mze/h5Rrxq+YOfUwoULVVJSIkm644476l2nJGpVKGFtZQ8uN9EARUZG2nJ3xOTkZBuiqb3qF/j2dmOm6hf4rn7xcFfztGrVyus8YWFhPl1gPNT4K6dSU1O1Zs0alZaWqqSkxOMnuVXHqHXr1rZd33PWrFmqrKyU5PsN63zRrVs36zk3OXDvXM2rs0VGRiojI0Nr1651mQ/UKnudi3m1cuVK3XLLLaqoqFCLFi20bNkypaen13teiXplt5iYGLVq1UqFhYVe1zDFxcXWm4Oz1zDenF03evXq5Xast7XSgQMHfLoRZtU8tY0V9ReovHLlueee07PPPivp9KWUlixZYtsZT9Sf4ApmXrniLR+oVw1fsHOqLjcj9wW1KjSwtrIHTeIG6oILLgh2CHWWkZGhiIgIVVZWavPmzR7HVt9+9lmg1Yv55s2ba1wH1NU87du3P+Mi5Pgff+RUt27drJvGbd68WZdeeqnLcU6nU9u3b5dU8zjXR9U1q5o0aaIRI0bYNq8xxra5znXnYl654iknqFX2O5fyKj8/Xzk5OSorK1OzZs300UcfqXv37vWetwr1yn6ZmZnKy8vTtm3b5HQ6FRnpernsaQ3jzdl1w5Oq7ZGRkTU+XOjWrZvWr1+vI0eOaP/+/W7PTt+3b5+OHj1ap1hhj0Dk1dn+/ve/6w9/+IM11yeffGLrTZuoP8EXjLxyx1s+UK8ah2Dl1MGDB/XJJ59IOv2B1oUXXljvOatQq0IDayt7cLkJ2C4qKkpZWVmSJIfD4fFaLlVfRYqOjq7xSc8VV1xRY5wr+/fv19atWyVJl19+eZ3jRu35eozWrVtnfdJs1zH69ttvtXHjRkmnr61Xda0pO3z//ffW85SUFNvmhW+CmVeuOJ1Oq8a4ygdqVeMQjLzauHGjBg0apGPHjikmJkaLFy9Wnz596jXn2ahX9qvKldLSUq1fv97tuOp5VNtc6d27t3VDFE/5WF5ertWrV9d4zdmxepunPrHCHoHIq+pmzpxp3RizU6dO+uyzzzx+06UuqD/BF+i88sRbPlCvGodg5dTs2bPldDol2XsWsUStChWsrWxiEPLS0tKMJJOWlmbbnM8995yRZCSZOXPmuByze/duExERYSSZwYMHuxyTmZlpJJmWLVua0tJSl2OeeeYZa1/z5s2z7d8A706ePGni4+ONJJOZmWlOnTrlcty4ceOsY5Sfn2/Lvh9++GFrzg8++MCWOatcc8011tx5eXm2zg3vgplXrsycOdPazz333ONyDLWq4Qt0Xm3ZssUkJSUZSaZJkyZm6dKldZ7LE+qV/dasWWP9TMeNG+dyTGVlpfV7n5CQYMrLy2u9n+uuu85IMpGRkWb37t0ux8yZM8eKZcqUKTW279u3z4SHhxtJJjs72+2+srOzjSQTHh5u9u3bV+tYUX+ByitjjHnvvfesNXZqaqrZsWNHPSJ3raSkxCQmJhpJJi4uzpSVldm+D3gXyLzy5p577rFimTlzZo3t1KvGIVg5dckll1h/Ew8ePFjv+apQqxqmHTt2WHk2cuRI2+ZlbVV/NIlR6yZx9V/oq666yuWYoqIi6814WlqaKSwsPGO70+k0OTk51jzLly93Oc/06dOtMffff3+N7du2bTPNmzc3kkznzp1NRUWFT/8G2Oepp57yWGRXrVplIiMjPeaLLzlVndPpNG3btjWSTGJios8LE4fDYX7++We320+dOmX+7//+z4qlR48ebhtJ8K9A5NXhw4fNihUrPMaxZs0ak5CQYCSZsLAws3btWpfjqFWNQ6Dq1c6dO0379u2NJBMREWHmz59f61ipV8HVt29f603GqlWramyfMmWK9bPPzc2tsX3GjBketxtjzOeff26NueGGG4zT6Txj+6FDh8z5559vvQk/fPiwy3nuvPNOax5XuTZv3jy/vBFD7QUirz755BMTFRVlJJk2bdqYzZs31zrOjz76yBw/ftzt9qNHj5qBAwdasTzwwAO13gfs4++82rhxoykoKPAYw2uvvWbN0bZtW3Ps2DGX46hXjUMgalV1//nPf6zxOTk5PsdJrWq86tIkZm0VGDSJQ0xBQYGZMWPGGY+qT9YSExNrbHP1iYivDb3qi4XOnTubN99806xdu9YsXLjQ9O/f39o2YsQIt3M4nU5z+eWXW2Nvvvlm8/HHH5s1a9aYl19+2bRp08b69ObDDz+040eEWjp69KjJyMiwjtHYsWPN8uXLjcPhMJMnTzbNmjUzkkxsbKzZsGGDyzlq2yReunSpNX78+PE+x5qbm2uio6PN0KFDzSuvvGKWL19uvvnmG+NwOMy0adNMVlaWNW9cXJxfz06FZ4HIq6rt3bt3NxMmTDALFy40+fn5Zv369eaDDz4wv/nNb0yTJk2sOR599FG38VKrGodA5FVhYaHp0qWLNeb3v/+92bRpk8fHnj17asxDvQqub775xsTGxhpJplmzZmby5MnG4XCY5cuXm7Fjx1o/+4yMDHP06NEar/f1DfLtt99ujevfv79ZuHChWbt2rXnzzTdN586drW2vvfaa2zl27dplWrdubb2hf+yxx0xeXp7Jy8szjz32mPXBR+vWrd2eVYPA8HdeORwOExcXZ6TT32CYNWuW1/pTXFxcY56rrrrKtGzZ0owePdq89dZbJi8vz2zYsMGsWLHCTJ482foQTJLp2rWrKSoq8sNPC77yd17NmDHDREREmGuvvdb85S9/McuWLTPr1683a9asMW+//bYZMGCA9fqIiAizcOFCt7FSrxqHQP0NrPLoo49a4999912f46RWNR55eXln9Jmef/5569hcfvnlNfpQrrC2CgyaxCGm+i+WLw9XZ9nVpqE3YcIEExYW5nb+wYMHmxMnTnic49ChQ6Z3795u54iKijKvv/56PX4qqK+CgoIzmiJnP5o3b24WL17s9vW1bRIPHz7cGl+bxkhubq5PeX/++eebr776yud54R/+zqvq2z09IiIizMSJE72epUmtahz8nVcrVqyo1d9ZyfUZCNSr4Fu0aJH1DQBXj4yMDLdn1/n6Rub48eNm8ODBbvcRHh7u0xvs1atXW9+wcfVo27atWb16dR1/ErCTP/PK17pR/eHqzfhVV13l02uvvPJKlx9yIfD8mVe+vn9MTEw0CxYs8Bor9apxCMTfQGNOX7qiXbt2RpJp0aJFrS4HQa1qPEaOHFmrv02usLYKDNe3qgRsMmnSJGVnZ+vVV19VXl6eDhw4oISEBPXo0UOjRo3SiBEjvM7RqlUrrVq1Sm+88YZmz56tH374QaWlpUpJSdE111yjBx98UL/4xS8C8K+BO+np6dqwYYNeffVVzZ8/X9u2bVN5ebnat2+vwYMH68EHH1RaWpot+zp69KgWLVokSbrgggvUu3dvn187atQoJSUlyeFwaOPGjTp48KCKiooUGRmpVq1aqWfPnsrJydGvfvUrxcTE2BIv6s7feZWSkqL58+fL4XAoPz9fe/fuVWFhocrKyhQfH6+uXbuqX79+Gj16tDp06OB1PmpV4xDIelUf1Kvgy8nJ0caNG/XSSy9p6dKl2rNnj6KiopSenq5bb71V48ePV1xcXL32ERsbq6VLl2r27Nl666239N1336mkpERJSUnq27evxo8fr8suu8zrPH369NGmTZv00ksvacGCBfrpp58kSR07dtTQoUP10EMP2XqDV9RdIPKqvqZOnarPP/9cDodDW7ZsUWFhoUpKShQXF6eUlBT16dNHI0aM0MCBAxUWFhbUWHGaP/Nq8ODBmj59uhwOhzZs2KADBw6oqKhIxhi1bNlSPXr00KBBg3T33XerefPmXuejXjUOgapVn3/+ufbu3StJGj58uKKjo31+LbUKrrC2qp8wY4wJdhAAAAAAAAAAgOAID3YAAAAAAAAAAIDgoUkMAAAAAAAAACGMJjEAAAAAAAAAhDCaxAAAAAAAAAAQwmgSAwAAAAAAAEAIo0kMAAAAAAAAACGMJjEAAAAAAAAAhDCaxAAAAAAAAAAQwmgSAwAAAAAAAEAIo0kMAAAAAAAAACGMJjEAAAAAAAAAhDCaxAAAAAAAAAAQwmgSAwAAAAAAAEAIo0kMAAAAAAAAACGMJjEAAAAAAAAAhDCaxAAAAAAAAAAQwmgSAwAAAAAAAEAIo0kMAAAAAAAAACGMJjEAAAAAAAAAhDCaxAAAAAAAAAAQwmgSAwAAAAAAAEAIo0kMAAAAAAAAACGMJjEAAAAAAAAAhDCaxAAAAAAAAAAQwmgSAwAAAAAAAEAI+39IGOjNNL1U/QAAAABJRU5ErkJggg==\",\n      \"text/plain\": [\n       \"<Figure size 850x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 298,\n       \"width\": 708\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(8.5, 3))\\n\",\n    \"\\n\",\n    \"x = np.linspace(-1, 1, 100)\\n\",\n    \"\\n\",\n    \"for n in range(1, 9):\\n\",\n    \"    ax.plot(x, n * x, label=\\\"y(x) = %d*x\\\" % n)\\n\",\n    \"\\n\",\n    \"ax.legend(ncol=4, loc=3, bbox_to_anchor=(0, 1), fontsize=12)\\n\",\n    \"fig.subplots_adjust(top=.75);\\n\",\n    \"fig.savefig(\\\"ch4-legend-loc-2.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Axis labels\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 40,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 291,\n       \"width\": 782\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 3), subplot_kw={'facecolor': \\\"#ebf5ff\\\"})\\n\",\n    \"\\n\",\n    \"x = np.linspace(0, 50, 500)\\n\",\n    \"ax.plot(x, np.sin(x) * np.exp(-x/10), lw=2)\\n\",\n    \"\\n\",\n    \"ax.set_xlabel(\\\"x\\\", labelpad=5,\\n\",\n    \"              fontsize=18, fontname='serif', color=\\\"blue\\\")\\n\",\n    \"ax.set_ylabel(\\\"f(x)\\\", labelpad=15,\\n\",\n    \"              fontsize=18, fontname='serif', color=\\\"blue\\\")\\n\",\n    \"ax.set_title(\\\"axis labels and title example\\\", loc='left',\\n\",\n    \"             fontsize=16, fontname='serif', color=\\\"blue\\\")\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch4-axis-labels.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Axis range\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 41,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1100x300 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 296,\n       \"width\": 924\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"x = np.linspace(0, 30, 500)\\n\",\n    \"y = np.sin(x) * np.exp(-x/10)\\n\",\n    \"\\n\",\n    \"fig, axes = plt.subplots(1, 3, figsize=(11, 3), subplot_kw={'facecolor': \\\"#ebf5ff\\\"})\\n\",\n    \"\\n\",\n    \"axes[0].plot(x, y, lw=2)\\n\",\n    \"axes[0].set_xlim(-5, 35)\\n\",\n    \"axes[0].set_ylim(-1, 1)\\n\",\n    \"axes[0].set_title(\\\"set_xlim / set_y_lim\\\")\\n\",\n    \"\\n\",\n    \"axes[1].plot(x, y, lw=2)\\n\",\n    \"axes[1].axis('tight')\\n\",\n    \"axes[1].set_title(\\\"axis('tight')\\\")\\n\",\n    \"\\n\",\n    \"axes[2].plot(x, y, lw=2)\\n\",\n    \"axes[2].axis('equal')\\n\",\n    \"axes[2].set_title(\\\"axis('equal')\\\")\\n\",\n    \"\\n\",\n    \"fig.subplots_adjust(wspace=0.25)\\n\",\n    \"fig.savefig(\\\"ch4-axis-ranges.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Ticks\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 42,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x300 with 4 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 290,\n       \"width\": 1189\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"x = np.linspace(-2 * np.pi, 2 * np.pi, 500)\\n\",\n    \"y = np.sin(x) * np.exp(-x**2/20)\\n\",\n    \"\\n\",\n    \"fig, axes = plt.subplots(1, 4, figsize=(12, 3))\\n\",\n    \"\\n\",\n    \"axes[0].plot(x, y, lw=2)\\n\",\n    \"axes[0].set_title(\\\"default ticks\\\")\\n\",\n    \"\\n\",\n    \"axes[1].plot(x, y, lw=2)\\n\",\n    \"axes[1].set_yticks([-1, 0, 1])\\n\",\n    \"axes[1].set_xticks([-5, 0, 5])\\n\",\n    \"axes[1].set_title(\\\"set_xticks\\\")\\n\",\n    \"\\n\",\n    \"axes[2].plot(x, y, lw=2)\\n\",\n    \"axes[2].xaxis.set_major_locator(mpl.ticker.MaxNLocator(4))\\n\",\n    \"axes[2].yaxis.set_major_locator(mpl.ticker.FixedLocator([-1, 0, 1]))\\n\",\n    \"axes[2].xaxis.set_minor_locator(mpl.ticker.MaxNLocator(8))\\n\",\n    \"axes[2].yaxis.set_minor_locator(mpl.ticker.MaxNLocator(8))\\n\",\n    \"axes[2].set_title(\\\"set_major_locator\\\")\\n\",\n    \"\\n\",\n    \"axes[3].plot(x, y, lw=2)\\n\",\n    \"axes[3].set_yticks([-1, 0, 1])\\n\",\n    \"axes[3].set_xticks([-2 * np.pi, -np.pi, 0, np.pi, 2 * np.pi])\\n\",\n    \"axes[3].set_xticklabels(['$-2\\\\pi$', '$-\\\\pi$', 0, r'$\\\\pi$', r'$2\\\\pi$'])\\n\",\n    \"axes[3].xaxis.set_minor_locator(mpl.ticker.FixedLocator([-3 * np.pi / 2, -np.pi/2, 0, np.pi/2, 3 * np.pi/2]))\\n\",\n    \"axes[3].yaxis.set_minor_locator(mpl.ticker.MaxNLocator(4))\\n\",\n    \"axes[3].set_title(\\\"set_xticklabels\\\")\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch4-axis-ticks.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"#### Grid\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 43,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 390,\n       \"width\": 1189\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 3, figsize=(12, 4))\\n\",\n    \"\\n\",\n    \"x_major_ticker = mpl.ticker.MultipleLocator(4)\\n\",\n    \"x_minor_ticker = mpl.ticker.MultipleLocator(1)\\n\",\n    \"y_major_ticker = mpl.ticker.MultipleLocator(0.5)\\n\",\n    \"y_minor_ticker = mpl.ticker.MultipleLocator(0.25)\\n\",\n    \"\\n\",\n    \"for ax in axes:\\n\",\n    \"    ax.plot(x, y, lw=2)\\n\",\n    \"    ax.xaxis.set_major_locator(x_major_ticker)\\n\",\n    \"    ax.yaxis.set_major_locator(y_major_ticker)\\n\",\n    \"    ax.xaxis.set_minor_locator(x_minor_ticker)\\n\",\n    \"    ax.yaxis.set_minor_locator(y_minor_ticker)\\n\",\n    \"\\n\",\n    \"axes[0].set_title(\\\"default grid\\\")\\n\",\n    \"axes[0].grid()\\n\",\n    \"\\n\",\n    \"axes[1].set_title(\\\"major/minor grid\\\")\\n\",\n    \"axes[1].grid(color=\\\"blue\\\", which=\\\"both\\\", linestyle=':', linewidth=0.5)\\n\",\n    \"\\n\",\n    \"axes[2].set_title(\\\"individual x/y major/minor grid\\\")\\n\",\n    \"axes[2].grid(color=\\\"grey\\\", which=\\\"major\\\", axis='x', linestyle='-', linewidth=0.5)\\n\",\n    \"axes[2].grid(color=\\\"grey\\\", which=\\\"minor\\\", axis='x', linestyle=':', linewidth=0.25)\\n\",\n    \"axes[2].grid(color=\\\"grey\\\", which=\\\"major\\\", axis='y', linestyle='-', linewidth=0.5)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch4-axis-grid.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"#### Ticker formatting\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 44,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x300 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 287,\n       \"width\": 789\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 2, figsize=(8, 3))\\n\",\n    \"\\n\",\n    \"x = np.linspace(0, 1e5, 100)\\n\",\n    \"y = x ** 2\\n\",\n    \"\\n\",\n    \"axes[0].plot(x, y, 'b.')\\n\",\n    \"axes[0].set_title(\\\"default labels\\\", loc='right')\\n\",\n    \"\\n\",\n    \"axes[1].plot(x, y, 'b')\\n\",\n    \"axes[1].set_title(\\\"scientific notation labels\\\", loc='right')\\n\",\n    \"\\n\",\n    \"formatter = mpl.ticker.ScalarFormatter(useMathText=True)\\n\",\n    \"formatter.set_scientific(True) \\n\",\n    \"formatter.set_powerlimits((-1,1)) \\n\",\n    \"axes[1].xaxis.set_major_formatter(formatter)\\n\",\n    \"axes[1].yaxis.set_major_formatter(formatter)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch4-axis-scientific.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Log plots\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 45,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x300 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 287,\n       \"width\": 1188\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 3, figsize=(12, 3))\\n\",\n    \"\\n\",\n    \"x = np.linspace(0, 1e3, 100)\\n\",\n    \"y1, y2 = x**3, x**4\\n\",\n    \"\\n\",\n    \"axes[0].set_title('loglog')\\n\",\n    \"axes[0].loglog(x, y1, 'b', x, y2, 'r')\\n\",\n    \"\\n\",\n    \"axes[1].set_title('semilogy')\\n\",\n    \"axes[1].semilogy(x, y1, 'b', x, y2, 'r')\\n\",\n    \"\\n\",\n    \"axes[2].set_title('plot / set_xscale / set_yscale')\\n\",\n    \"axes[2].plot(x, y1, 'b', x, y2, 'r')\\n\",\n    \"axes[2].set_xscale('log')\\n\",\n    \"axes[2].set_yscale('log')\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch4-axis-log-plots.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Twin axes\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 46,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 387,\n       \"width\": 784\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax1 = plt.subplots(figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"r = np.linspace(0, 5, 100)\\n\",\n    \"a = 4 * np.pi * r ** 2  # area\\n\",\n    \"v = (4 * np.pi / 3) * r ** 3  # volume\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"ax1.set_title(\\\"surface area and volume of a sphere\\\", fontsize=16)\\n\",\n    \"ax1.set_xlabel(\\\"radius [m]\\\", fontsize=16)\\n\",\n    \"\\n\",\n    \"ax1.plot(r, a, lw=2, color=\\\"blue\\\")\\n\",\n    \"ax1.set_ylabel(r\\\"surface area ($m^2$)\\\", fontsize=16, color=\\\"blue\\\")\\n\",\n    \"for label in ax1.get_yticklabels():\\n\",\n    \"    label.set_color(\\\"blue\\\")\\n\",\n    \"    \\n\",\n    \"ax2 = ax1.twinx()\\n\",\n    \"ax2.plot(r, v, lw=2, color=\\\"red\\\")\\n\",\n    \"ax2.set_ylabel(r\\\"volume ($m^3$)\\\", fontsize=16, color=\\\"red\\\")\\n\",\n    \"for label in ax2.get_yticklabels():\\n\",\n    \"    label.set_color(\\\"red\\\")\\n\",\n    \"    \\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch4-axis-twin-ax.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Spines\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 47,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 390,\n       \"width\": 790\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"x = np.linspace(-10, 10, 500)\\n\",\n    \"y = np.sin(x) / x\\n\",\n    \"\\n\",\n    \"fig, ax = plt.subplots(figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"ax.plot(x, y, linewidth=2)\\n\",\n    \"\\n\",\n    \"# remove top and right spines\\n\",\n    \"ax.spines['right'].set_color('none')\\n\",\n    \"ax.spines['top'].set_color('none')\\n\",\n    \"\\n\",\n    \"# remove top and right spine ticks\\n\",\n    \"ax.xaxis.set_ticks_position('bottom')\\n\",\n    \"ax.yaxis.set_ticks_position('left')\\n\",\n    \"\\n\",\n    \"# move bottom and left spine to x = 0 and y = 0\\n\",\n    \"ax.spines['bottom'].set_position(('data', 0))\\n\",\n    \"ax.spines['left'].set_position(('data', 0))\\n\",\n    \"    \\n\",\n    \"ax.set_xticks([-10, -5, 5, 10])\\n\",\n    \"ax.set_yticks([0.5, 1])\\n\",\n    \"\\n\",\n    \"# give each label a solid background of white, to not overlap with the plot line\\n\",\n    \"for label in ax.get_xticklabels() + ax.get_yticklabels():\\n\",\n    \"    label.set_bbox({'facecolor': 'white',\\n\",\n    \"                    'edgecolor': 'white'})\\n\",\n    \"    \\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch4-axis-spines.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Advanced grid layout\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Inset\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 48,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 393,\n       \"width\": 721\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig = plt.figure(figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"def f(x):\\n\",\n    \"    return 1/(1 + x**2) + 0.1/(1 + ((3 - x)/0.1)**2)\\n\",\n    \"\\n\",\n    \"def plot_and_format_axes(ax, x, f, fontsize):\\n\",\n    \"    ax.plot(x, f(x), linewidth=2)\\n\",\n    \"    ax.xaxis.set_major_locator(mpl.ticker.MaxNLocator(5))\\n\",\n    \"    ax.yaxis.set_major_locator(mpl.ticker.MaxNLocator(4))\\n\",\n    \"    ax.set_xlabel(r\\\"$x$\\\", fontsize=fontsize)\\n\",\n    \"    ax.set_ylabel(r\\\"$f(x)$\\\", fontsize=fontsize)\\n\",\n    \"    \\n\",\n    \"# main graph\\n\",\n    \"ax = fig.add_axes([0.1, 0.15, 0.8, 0.8], facecolor=\\\"#f5f5f5\\\")\\n\",\n    \"x = np.linspace(-4, 14, 1000)\\n\",\n    \"plot_and_format_axes(ax, x, f, 18)\\n\",\n    \"\\n\",\n    \"# inset\\n\",\n    \"x0, x1 = 2.5, 3.5\\n\",\n    \"ax.axvline(x0, ymax=0.3, color=\\\"grey\\\", linestyle=\\\":\\\")\\n\",\n    \"ax.axvline(x1, ymax=0.3, color=\\\"grey\\\", linestyle=\\\":\\\")\\n\",\n    \"\\n\",\n    \"ax = fig.add_axes([0.5, 0.5, 0.38, 0.42], facecolor='none')\\n\",\n    \"x = np.linspace(x0, x1, 1000)\\n\",\n    \"plot_and_format_axes(ax, x, f, 14)\\n\",\n    \"\\n\",\n    \"fig.savefig(\\\"ch4-advanced-axes-inset.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Subplots\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 49,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 9 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 389,\n       \"width\": 515\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"ncols, nrows = 3, 3\\n\",\n    \"\\n\",\n    \"fig, axes = plt.subplots(nrows, ncols)\\n\",\n    \"\\n\",\n    \"for m in range(nrows):\\n\",\n    \"    for n in range(ncols):\\n\",\n    \"        axes[m, n].set_xticks([])\\n\",\n    \"        axes[m, n].set_yticks([])\\n\",\n    \"        axes[m, n].text(0.5, 0.5, \\\"axes[%d, %d]\\\" % (m, n),\\n\",\n    \"                        horizontalalignment='center')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 50,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 600x600 with 4 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 594,\n       \"width\": 579\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(2, 2, figsize=(6, 6), sharex=True, sharey=True, squeeze=False)\\n\",\n    \"\\n\",\n    \"x1 = np.random.randn(100)\\n\",\n    \"x2 = np.random.randn(100)\\n\",\n    \"\\n\",\n    \"axes[0, 0].set_title(\\\"Uncorrelated\\\")\\n\",\n    \"axes[0, 0].scatter(x1, x2)\\n\",\n    \"\\n\",\n    \"axes[0, 1].set_title(\\\"Weakly positively correlated\\\")\\n\",\n    \"axes[0, 1].scatter(x1, x1 + x2)\\n\",\n    \"\\n\",\n    \"axes[1, 0].set_title(\\\"Weakly negatively correlated\\\")\\n\",\n    \"axes[1, 0].scatter(x1, -x1 + x2)\\n\",\n    \"\\n\",\n    \"axes[1, 1].set_title(\\\"Strongly correlated\\\")\\n\",\n    \"axes[1, 1].scatter(x1, x1 + 0.15 * x2)\\n\",\n    \"\\n\",\n    \"axes[1, 1].set_xlabel(\\\"x\\\")\\n\",\n    \"axes[1, 0].set_xlabel(\\\"x\\\")\\n\",\n    \"axes[0, 0].set_ylabel(\\\"y\\\")\\n\",\n    \"axes[1, 0].set_ylabel(\\\"y\\\")\\n\",\n    \"\\n\",\n    \"plt.subplots_adjust(left=0.1, right=0.95, bottom=0.1, top=0.95, wspace=0.1, hspace=0.2)\\n\",\n    \"\\n\",\n    \"fig.savefig(\\\"ch4-advanced-axes-subplots.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 51,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 5 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 394,\n       \"width\": 520\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig = plt.figure()\\n\",\n    \"\\n\",\n    \"def clear_ticklabels(ax):\\n\",\n    \"    ax.set_yticklabels([])\\n\",\n    \"    ax.set_xticklabels([])\\n\",\n    \"\\n\",\n    \"ax0 = plt.subplot2grid((3, 3), (0, 0))\\n\",\n    \"ax1 = plt.subplot2grid((3, 3), (0, 1))\\n\",\n    \"ax2 = plt.subplot2grid((3, 3), (1, 0), colspan=2)\\n\",\n    \"ax3 = plt.subplot2grid((3, 3), (2, 0), colspan=3)\\n\",\n    \"ax4 = plt.subplot2grid((3, 3), (0, 2), rowspan=2)\\n\",\n    \"\\n\",\n    \"axes = [ax0, ax1, ax2, ax3, ax4]\\n\",\n    \"[ax.text(0.5, 0.5, \\\"ax%d\\\" % n, horizontalalignment='center') for n, ax in enumerate(axes)]\\n\",\n    \"[clear_ticklabels(ax) for ax in axes]\\n\",\n    \"\\n\",\n    \"fig.savefig(\\\"ch4-advanced-axes-subplot2grid.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### gridspec\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 52,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from matplotlib.gridspec import GridSpec\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 53,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 600x400 with 10 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 332,\n       \"width\": 489\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig = plt.figure(figsize=(6, 4))\\n\",\n    \"\\n\",\n    \"gs = mpl.gridspec.GridSpec(4, 4)\\n\",\n    \"\\n\",\n    \"ax0 = fig.add_subplot(gs[0, 0])\\n\",\n    \"ax1 = fig.add_subplot(gs[1, 1])\\n\",\n    \"ax2 = fig.add_subplot(gs[2, 2])\\n\",\n    \"ax3 = fig.add_subplot(gs[3, 3])\\n\",\n    \"\\n\",\n    \"ax4 = fig.add_subplot(gs[0, 1:])\\n\",\n    \"ax5 = fig.add_subplot(gs[1:, 0])\\n\",\n    \"\\n\",\n    \"ax6 = fig.add_subplot(gs[1, 2:])\\n\",\n    \"ax7 = fig.add_subplot(gs[2:, 1])\\n\",\n    \"\\n\",\n    \"ax8 = fig.add_subplot(gs[2, 3])\\n\",\n    \"ax9 = fig.add_subplot(gs[3, 2])\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"def clear_ticklabels(ax):\\n\",\n    \"    ax.set_yticklabels([])\\n\",\n    \"    ax.set_xticklabels([])\\n\",\n    \"\\n\",\n    \"axes = [ax0, ax1, ax2, ax3, ax4, ax5, ax6, ax7, ax8, ax9]\\n\",\n    \"[ax.text(0.5, 0.5, \\\"ax%d\\\" % n, horizontalalignment='center') for n, ax in enumerate(axes)]\\n\",\n    \"[clear_ticklabels(ax) for ax in axes]\\n\",\n    \"\\n\",\n    \"fig.savefig(\\\"ch4-advanced-axes-gridspec-1.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 54,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x400 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 332,\n       \"width\": 334\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig = plt.figure(figsize=(4, 4))\\n\",\n    \"\\n\",\n    \"gs = mpl.gridspec.GridSpec(2, 2,\\n\",\n    \"                           width_ratios=[4, 1],\\n\",\n    \"                           height_ratios=[1, 4],\\n\",\n    \"                           wspace=0.05, hspace=0.05\\n\",\n    \"                           )\\n\",\n    \"\\n\",\n    \"ax0 = fig.add_subplot(gs[1, 0])\\n\",\n    \"ax1 = fig.add_subplot(gs[0, 0])\\n\",\n    \"ax2 = fig.add_subplot(gs[1, 1])\\n\",\n    \"\\n\",\n    \"def clear_ticklabels(ax):\\n\",\n    \"    ax.set_yticklabels([])\\n\",\n    \"    ax.set_xticklabels([])\\n\",\n    \"\\n\",\n    \"axes = [ax0, ax1, ax2]\\n\",\n    \"[ax.text(0.5, 0.5, \\\"ax%d\\\" % n, horizontalalignment='center') for n, ax in enumerate(axes)]\\n\",\n    \"[clear_ticklabels(ax) for ax in axes]\\n\",\n    \"\\n\",\n    \"fig.savefig(\\\"ch4-advanced-axes-gridspec-2.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Colormap\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 55,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = y = np.linspace(-2, 2, 150)\\n\",\n    \"X, Y = np.meshgrid(x, y)\\n\",\n    \"\\n\",\n    \"R1 = np.sqrt((X+0.5)**2 + (Y+0.5)**2)\\n\",\n    \"R2 = np.sqrt((X+0.5)**2 + (Y-0.5)**2)\\n\",\n    \"R3 = np.sqrt((X-0.5)**2 + (Y+0.5)**2)\\n\",\n    \"R4 = np.sqrt((X-0.5)**2 + (Y-0.5)**2)\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 56,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAABEsAAAOICAYAAAAuA3/vAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAB7CAAAewgFu0HU+AADsqUlEQVR4nOzde5gV1Z3v/093b9sGGmwQFRASiMSIR02igjpeMcFLFEXj3cRg1JBEJ/I7GmZ0BoMzMVFjTMycJMcElHjhYJJxiIpGgiN4GZxGc4FEUDGDXAQUQ4Ncm778/jB0Nl3f7v72XmvXrm7er+fheTar67KqalXV7tVVn1XW3NzcLAAAAAAAAEiSyktdAQAAAAAAgCyhswQAAAAAACAPnSUAAAAAAAB56CwBAAAAAADIQ2cJAAAAAABAHjpLAAAAAAAA8tBZAgAAAAAAkIfOEgAAAAAAgDx0lgAAAAAAAOShswQAAAAAACAPnSUAAAAAAAB56CwBAAAAAADIQ2cJAAAAAABAHjpLAAAAAAAA8tBZAgAAAAAAkIfOEgAAAAAAgDx0lgAAAAAAAOShswQAAAAAACAPnSUAAAAAAAB56CwBAAAAAADIQ2dJEfz2t7/Vt771LZ155pkaMmSI9t57b1VXV+vggw/W+PHj9fzzz0df58yZM3X66adr4MCBqqqq0tChQ/X5z39eL730UvR1AQAAAADQnZU1Nzc3l7oS3cnJJ5+s5557rsPpPv/5z2vq1KmqrKwMWt/27dt14YUX6oknnjB/Xl5erilTpmjy5MlB6wEAAAAAYE/BkyWRrV69WpI0aNAgXX/99frlL3+p2tpaLViwQHfffbcOPPBASdKDDz6o8ePHB6/vqquuaukoGT16tGbNmqXa2lpNmzZNBx10kJqamnTLLbdo6tSpwesCAAAAAGBPwJMlkZ199tm64oor9NnPflYVFRWJn69fv17HH3+8Xn/9dUnSc889pxNPPLGgdc2fP1+nnHKKJGns2LH6j//4j93WuX79eh111FFasWKF+vbtqz//+c+qqakpaF0AAAAAAOwp6CwpgSeeeEJjx46VJH3ta1/TPffcU9ByzjrrLD355JOqqKjQ8uXLNXjw4MQ0M2fO1KWXXipJuuuuu3TDDTcUXnHD9u3btXjxYknSfvvtp1wuF3X5AAAAAPwaGhr07rvvSpIOP/xwVVVVlbhGPg0NDVq7dm2pq9GhAQMG8DvPHoLOkhLYvHmzevfuLemDDo+28kY6Wkb//v21Y8cOnXHGGXrqqafM6err67Xffvtp06ZN+ru/+zu9+OKLQXVvbeHChRo1alTUZQIAAAAIV1tbq5EjR5a6Gi6rVq3SkCFDSl2NDq1cudL8IzW6HzJLSqC+vr7lc3l5YYegtrZWO3bskPRBqGxbKisrdeyxx7bMs3PnzoLWBwAAAADAnoLnh0pg/vz5LZ8POeSQgpaxZMkS9zIOOeQQzZkzRw0NDXrjjTd06KGHutezatWqdn/e0NDQ8vmFF2o1cOBASZL3ybS82TutsTFZZsTEmKz6laspWfjXDqndWJW2yqwKhrA2ztqQYj8WGLL93gPu3QZrn1iPmjr3XZPRfxzSRt3tLKT9xNynkfdTSBMIYW2q9/Qp2fHxzhvz/A45z2KvA27W+Veo2PfgrmhPat5pXH8t3v0UdP3N0ncz5/eQplxyRMxCv3a23qx169bojDM+ePJ7v/32Sy6gC7hGUnWpK5Fns6SflroSSF0Xu8x3fU1NTbr99ttb/n/RRRcVtJyVK1e2fO7oMbD8x9lWrlzZqc6SzjwKN3DgwJa6pNFZEvJ7hPuXpO3bfSv2loXwdoxkpbMkZJ+EHEjrS4pzP2Wqs8S74pj7NPJ+SuO0sIScKiU7Pt55S9FZErLOrvbbZBeQlc6SUv3iHdue1Ly7TWdJGt9DvAK+h1idJYV+7Wxvs7pqtka1pH1KXQns8brm2dOFfe9731Ntba0k6bzzztPRRx9d0HLef//9ls/V1e33u/bq1avl8+bNmwtaHwAAAACkoVzZyovIUl2QHjpLUjR//nz94z/+oyRp//33149//OOCl7U9r+u5sjLZM51v7733bvm8bdu2Tq0n/wkWy5o1awh4BQAAAAB0K3SWpORPf/qTzjvvPDU0NGjvvffWz3/+cx1wwAEFLy9/CLD8wFjLjrwXIHv06NGp9ZD0DAAAAADY09BZkoL/+Z//0WmnnaYNGzaooqJC/+///b92R7Dx2DX0sNTxqzVbtmxp+dzRKzshcrnOv79rTR8SweB+L7bB6GDyvttqvVBqib0hIRtc6I6O/b5vSH29Zca7wiEZG5ZUXv+NnSfhyB4x90lAbI8ljdiaVHjPqZAKWu+9e+tiKDTrIugV/xJl1IQwcxMyxFs/z/GOfQ9OI8ontpDTNnZ2miVme8zlCn+RII18G6t+5Wlc5GNvnPU90bieW0ejqsqXY9KRkODirOA1HGQBx73I3n77bX3605/W22+/rbKyMt13330677zzgpeb/8RHRyPW5L9K0xXGLgcAAAAAoJToLCmi9evXa8yYMfrzn/8sSfq3f/s3XXHFFVGWnT+izdKlS9uddtfPc7mchg8fHmX9AAAAAAB0V3SWFMnGjRt1+umn69VXX5Uk3X777br22mujLX/kyJEtwa7z589vc7r6+nq99NJLiXkAAAAAIIvKM/gPex6OexFs3bpVZ511ln77299Kkv7pn/5J//AP/xB1Hb1799anPvUpSdLcuXPbfBXn0Ucf1aZNmyQpyus/AAAAAAB0dwS8RlZfX6/zzjtPL774oiTp+uuv1ze/+c1OL2f69Om68sorJUnf+MY3NGXKlMQ0N954o5566ik1NDTo2muv1aOPPqqKvESn9evXt3TS1NTU6Oqrry5gi/zK1dRuEJk3XDAky8tcvzeN0hvSlUbAaci8JUu8bCWNMFejrL7BF+ZqKdWhjX3MCg20DTlVsp77m8rxCViJ9/roDeH1zpsVsbOqU7kMZnmHyvnXMGNHVRr7rtBw4M5II0A0ZHmlurV6Q1k9QbAh4cAhobde9n7vxqGvxnaUG7nehYS+ZuWrINDVcSpFdumll2rOnDmSpFNPPVVXXXWV/vjHP7Y5fWVlpQ4++OCC1nXqqafqkksu0cyZM/XYY49pzJgxmjhxogYNGqTFixfrtttu04oVKyR98BpQ3759C1oPAAAAAKQla6++ZKkuSA+dJZE9+uijLZ//8z//U0cccUS703/4wx/W8uXLC17ffffdp02bNunJJ5/Us88+q2effXa3n5eXl2vy5MmaMGFCwesAAAAAAGBPQidZF9ejRw/Nnj1bDz/8sMaMGaP9999flZWVGjJkiC677DK98MIL5is8AAAAAADAxpMlkTU3N0dZzvjx4zV+/Hj39Jdddpkuu+yyKOsGAAAAgFIpU7b+ql9W6gqgJOgsQWpCgsXcy8tSmKtXSBpl7MBYz/bGTli0pqtKJpxZ7SLkkHmnix2SFjsoMWYoa+ww164YMBdyfELaXhrzFlvWQ1q996DoF5GsHCCLcyd7AzUrjem8YaEh159Cb2eh04W05di3zdb72d3eDVkKgg0KfbXKOkpG7WxlYs9r1M8T+tp6tq54/93TvfPOO6qtrVVtba0WLlyohQsX6r333pMkfeELX9D06dOjr3PmzJm6//77tWjRIm3YsEEDBgzQiSeeqGuvvVbHHnusaxnvvfeefvCDH2jWrFlavny5mpubNWzYMI0bN05f+9rXtO+++0avd5o4lQAAAAAAKJEDDjggtXVt375dF154oZ544ondyt966y299dZbmjFjhqZMmaLJkye3u5yFCxfq3HPP1Zo1a3YrX7RokRYtWqSpU6fqV7/6lY4++ujo25CWLD3dBAAAAADYw5Vn8F9ahgwZotNOO61oy7/qqqtaOkpGjx6tWbNmqba2VtOmTdNBBx2kpqYm3XLLLZo6dWqby1i9erXGjh2rNWvWKJfLadKkSXruuef03HPPadKkScrlcnr77bd19tlna/Xq1UXblmLjyRIAAAAAAErklltu0ciRIzVy5EgdcMABWr58uYYNGxZ9PfPnz9eMGTMkSWPHjtV//Md/qKKiQpI0cuRInXPOOTrqqKO0YsUKTZo0SRdccIFqamoSy/mnf/onrVu3TpI0Y8YMXXjhhS0/O/HEE3X00Ufroosu0rp16zR58mTdd9990bclDTxZAgAAAABAidx66606++yzi/46zp133ilJqqio0I9+9KOWjpJd+vfvrzvuuEOStGHDBk2bNi2xjHXr1umhhx6SJJ1++um7dZTscuGFF+r000+XJD3wwAMtHStdDU+WIJ6GhvYDrLxBciEhfLETKkN4w8Zil1kK3d6QVLqAsvqGZD9u7MOdRvhZyHpjb2+hAa+xdbVToDPLi335KcWlq1QhrbFzrt0B4JbYBy1kulKIHDDuDd60wmGtIM80zotShcOGzNu6zNp3liwFwcYOfbWUGwHy7tB/b2W8Ioa+tg583XvvQiuVHWm/+tKRLNWlUJs3b9YzzzwjSRozZowGDx5sTnf++eerT58+2rRpkx599FHdcMMNu/38scceU2NjoyTpyiuvbHN948eP19NPP63GxkY99thjuuaaayJtSXq6w3EHAAAAAABtqK2t1Y4dOyRJJ598cpvTVVZWtoyGU1tbq507d+728+eff77lc3vLyf/ZCy+8UFCdS40nSwAAAAAAcGg9+oulrac2SmnJkiUtnw855JB2pz3kkEM0Z84cNTQ06I033tChhx6aWM4+++yjAQMGtLmMgQMHtjyhkr/uroTOEgAAAAAAHEaNGtXhNM3NzSnUpHNWrlzZ8rmjzpwhQ4bsNl9+Z8mu5Xg6hIYMGaI//elPu627K6GzBAAAAACQGWSWxPf++++3fK6urm532l69erV83rx5s7mcjpaRv5zWy+gq6CwBAAAAAMChtrZWAwcOLHU1Om17XlhwZWVlO1NKe+elBG/bts1cTkfLyF9O62V0FXSWID3eSPfYIxakMUJOyNAdVjJ77KFaQvazZ1nOMisR3xtCH/uQZWmEHO90xd5X3rqVaqCn2Mcn65ea2CN8FLr/Yo9oE/t4u0e+ydJoOFma1yPyCDneA26NpGONmlNZVfioaiFiH7KYo+b4z7PkfgoZIcfiXZ53RJuQfWd9DzFHbLK+m2VphJxW07XeqvKG+sLrgA4NHDgwk5kkHanKa9f19e23kV1BsJLUo0ePxHK2bt3a4TLyl9N6GV0FnSUAAAAAgMwoU7ZefSkrdQUi6N27d8vnjl6L2bJlS8vn1q/b9O7dW1u3bnW9WrNrOZ5XdrIoS20QAAAAAABElv80zKpVq9qdNj+QNT/sNX85HS0jfzmtl9FV0FkCAAAAAEA3lj+izdKlS9uddtfPc7mchg8fbi5n48aNWrt2bZvLWLNmjTZt2iRJGjFiREF1LjU6SwAAAAAAmVGWwX9d3ciRI1tCWefPn9/mdPX19XrppZcS8+xywgkntHxubzn5Pzv++OMLqnOpkVmCeBob/xY4VWgiWWem68ZhrlYAWQh3WFvEBEhvuF5IaGmINMJcLWk05ZhNvjuHuWZpv4eE6xY6XamOmXde93Wr2OGmkj8kO2aYdlsKXV4aoZMlCoK17q3eIFjrfhtyDypVFnDMa2Yaoa8Wax3W8Qn5ihk99DWNLzGedbSuW2Nj4etDt9W7d2996lOf0lNPPaW5c+dq1apVZlDto48+2vJEyHnnnZf4+TnnnKOvfOUrampq0v3336+LL77YXN/06dMlSeXl5TrnnHPibUiKeLIEAAAAAIAubPr06SorK1NZWZmmTJliTnPjjTdKkhoaGnTttdeqsVXH2vr16/UP//APkqSamhpdffXViWUMGDBAl19+uSTp6aef1i9/+cvENL/4xS/09NNPS5I+//nPa8CAAQVvVynxZAkAAAAAIDMq/vovK4pdlxdeeEHLli1r+f/69etbPi9btqzlKY1dxo8fX9B6Tj31VF1yySWaOXOmHnvsMY0ZM0YTJ07UoEGDtHjxYt12221asWKFJOn2229X3759zeXcdttt+vWvf613331Xl156qV5++WWdffbZkqQnnnhC3/3udyVJ++23n775zW8WVNcsoLMEAAAAAIASmTp1qn72s5+ZP3vxxRf14osv7lZWaGeJJN13333atGmTnnzyST377LN69tlnd/t5eXm5Jk+erAkTJrS5jCFDhujxxx/XuHHjtHbtWt1xxx264447dptmwIABmjVrlvmqT1fBazgAAAAAAOwBevToodmzZ+vhhx/WmDFjtP/++6uyslJDhgzRZZddphdeeKHN13jyHXPMMVq8eLH++Z//WYcddpiqq6tVXV2tww8/XP/8z/+sP/7xjzrmmGOKv0FFVNbc3Nxc6kqg61q1alXLuNkrX39dgw88sO2J0wh9tUK1QtZRojDX2PmzlkLD2rz1Dck8CwnKJGg0bhZj5OaeSrBu1sNcQ8TMxUwjpNU7ryUoUDKNMNOQeUsxXRrJo7GlcUEPuFfHvqcV+96fxu4MCmZ2XhxCQvBDwnHNbctKcn2rjVi1erWGHHGEJGnlypVd5i/7+b9XfFuS/QJIaWyQdNNfP3elfYowPFkCAAAAAACQh84SAAAAAACAPAS8AgAAAAAyo1zZ+qt+luqC9HDcAQAAAAAA8vBkCdITOzQvdghdCgFx9Q2+/smQgE5veFmhAWlpBLeWKigzJKAyjeYdM7jVmi7rYa5ZCm5NI4S52AGssY9Z7OMdEuKoXGXUeVMJmy32dN6GHHKBi33xDqmzJeCmWW5c+HpW+e7zIXn0llLdNz1yueT2m+dPyLFwno/WNST296by2MnWhR7I1vM1Nha2HAC7obMEAAAAAJAZZcrWKxBlpa4ASiJLbRAAAAAAAKDk6CwBAAAAAADIw2s4AAAAAIDMYDQcZAGdJcieLKV7Rg5zjR3aGZLN55kudgBmSKCdJeQwxs5ks6QRDOo9toUGfnrDXIMCMA0h4Z57UkhryDpiB7J6xQ5DTmNe62uyf/8lA2PNeY1gWe86zPOv0Au6JY005FId3M2bk2UBF9tK46KZq/IdW29YusUzXUhervf+YIke+mqvxLWOkoW+WjvL+6UoK+m9wB6ITjIAAAAAAIA8PFkCAAAAAMgMXsNBFnDcAQAAAAAA8tBZAgAAAAAAkIfXcNA1lCqJ0QjkajJC+NIIlPSGjYUsr9gBryFSyOTtkrzb5imzluUKjgwVcDDSCMz1hxgWXhayvNjhuq15w3bTyAoNWW/seb1ih0nb01mhlZXt/l+SciHnfJbKvGIHwVoXB2Md5cZ0lcaBzFUnj5GVAerJBU1jN1n18N+DI4e+Or8kEfradfAaDrKA4w4AAAAAAJCHzhIAAAAAAIA83eRBdAAAAABAd1D2139ZkaW6ID08WQIAAAAAAJCHJ0vQvZQozNXK4ypVBmbMULdSZfDFDm4NCdm0lOrYxg65TQTdxT64kXd8yGq9QvZxUCCrO1GxyGHXzp2XpRzPNIJg01DsIFh/m+04LFaSclXJslTCYUMCMGM3Fm/CqTM5ujyXnK6nMZ11jFpXJWTXWULOH38QLKGvBd/Asn6BA7ooOksAAAAAAJlRLqmi1JXIw+sYeyaOOwAAAAAAQB46SwAAAAAAAPLwGg4AAAAAIDPKla2/6mepLkgPxx0AAAAAACAPT5aga0hheIvYI9+kMXJHsXXFkW9co750gpVgHyKNkW8qc84RKTzDJ3il0JBjXwa80wWNaGONXpPGqAUFjnxjtffYA5eEDEiSxsg3WR/JLOaoOfFHf0phJJ2QkVDSGIoppM7WDcxQaSwvV737Pi3VoEHezbc21R41J9mmzHtcdxkhx7tjOlKRpWhUoOvK8K9pAAAAAIA9Da/hIAs47gAAAAAAAHnoLAEAAAAAAMjDazgAAAAAgMzgNRxkAZ0liKeiovMJjCFBaJYMhbmGbFoaoa8xg1pD6hsS3BoUvGlxhrxZgXOxuYNGG+qThVaoaEjSZqEyFPqaSkhr7PRji7dhFCiNTMyQ9aYhy6HbnVHo/vPek+KHVfvCYSurA4I8Y9/UYycOe+tn3BDLq1pPktx33lVaYn/PsdbrzLeV9Wtrdwl9NRVyUeouFzKgxOgkAwAAAAAAyEO3IwAAAAAgM8qUrb/ql5W6AiiJLLVBAAAAAACAkqOzBAAAAAAAIA+v4aBriJwkl0bum5c//K7wdZRCyHZZIW9meFupAjUjz+oOH/U20mKHuZaoMWYqpLVUF4KIy7OCCbO++SFZ34grdqCvuw14g2CrAhpVGkGwIeGwjrJy40ba0yizgnWtzQ8Jgu3Ooa8h7FUkt6N8Dw14ZTQcZAHHHQAAAAAAIA+dJQAAAAAAAHm6/jNaAAAAAIBug9dwkAUcdwAAAAAAgDw8WYJ4crn2A6VSCMuyllff4Asv84aN7elCQkutoDarLCjc1Cug7Vn1s0LZvPMGBQxmJcw18rns3k8hZSEhjiGKHNzaltaBrqUKZO0GuYMlFbs5ZkVI3mkqQbBZCn21FPiFpdK8MfvuZyGhr16ZCn0115BcnhWeHZYrW0Doa0VF+z8H4MJXFgAAAABAZpT99V9WZKkuSA+v4QAAAAAAAOShswQAAAAAACAPr+EAAAAAADKj4q//siJLdUF66CxBerypfs70NitAK41cNe903gDEkDJLVrI9vQGv5Q31ycKsp+0aGxc9kLQUKcSxG6NXGiGJWQ9zLdUFo3iLCl5vCPN8dLLuLbGFNLNC543dtLMUNBtWF18QbHm1M6EzjWu3Z4MDrnl26Gtyn1hCNtV7HENCX82wVOt6EZBY7Q199fKEviYCX0nSBqLgNRwAAAAAAIA8dDsCAAAAADKjTNn6qz6j4eyZstQGAQAAAAAASo7OEgAAAAAAgDy8hoNomlTeboCVO3AvcphrSK5j7DDX2PN6lxeyHR5WsJq1LDPMNY3gzTQCSb3ThYT/FbuRZimVuFRBuGkkOHtPGO90EcNcQ4JRg9rn9hIknkpthDMWPq9XZcANotKYtdDwyCyFvqYRGOttovZp5gyCtYJGQ+4ZxU70dV4bK63LUXVy+zdvTk5nXcqs1YZ8f/GGvtrTlSb01WpThTaV1stKI6i62MqVrb/qZ6kuSA/HHQAAAAAAIA+dJUXwzjvv6IknntAtt9yiM888U/3791dZWZnKyso0fvz4aOuZMmVKy3I7+jdv3rxo6wUAAAAAoDvjNZwiOOCAA0pdBQAAAADokngNB1lAZ0mRDRkyRCNGjNCcOXOKup7Fixe3+/Nhw4YVdf0AAAAAAHQXdJYUwS233KKRI0dq5MiROuCAA7R8+fKid1YcdthhRV2+R0PD3wKnrAyskLCpkPzH2GGullLlYlq8YXWFspZVmTOC0Lwhm96ATq9ShblaShXm6lXsgFdLdw5zTSO4NaB9mwHLraVxEU2jbXuFJHF7pwsIhfSHRzo4w2K9rHt6yGUgZN6Q6WLPa4a+etuF9x5p8VQ68rlnhdlWG6Gv3k3wTmfx3gqsy6/dHgNCXwOEhNwCiI/OkiK49dZbS10FAAAAAOiSeA0HWcBxBwAAAAAAyENnCQAAAAAAQB5ew+kmxowZo9/+9rd6//33VVNTo0MPPVRnnHGGJkyYoL59+xa83FWrVrX78zVr1hS8bAAAAABorUzZ+qt+WakrgJKgs6SbmDt3bsvnd999V/Pnz9f8+fN1xx13aPr06Tr33HMLWu6QIUMKmi92GFV3CXP15jqaIWIGb8BeoWF67rqVKsg0dphriKw3Uk/jCwkeDZGl/RT7ZPbOayl2aG7Wk7Njp1XHbrdppJnGFLke3vuUxRssG/seV6rvJlZYqBkEa10aCg2CjR1O7mRtQ1VVclut6lmXRu/XBu/xDgmCdYe+OlnzFjoYgufyDqDzMvSbBgpx+OGHa9y4cRo1apQGDRqknTt36rXXXtPDDz+sOXPmqK6uTp/97Gf1+OOP68wzzyx1dQEAAAAAyDw6S7qwiRMnasqUKYnyY445RldccYXuvfdeffnLX1ZjY6OuvvpqLVu2TD169OjUOlauXNnuz9esWaNRo0Z1apkAAAAA0BZGw0EW0FnShdXU1LT78wkTJujll1/W1KlT9fbbb+vRRx/V5Zdf3ql1DB48OKCGAAAAAAB0PXSSdXMTJkxo+Tx//vwS1gQAAAAAgK6BJ0u6uUMPPbTl8+rVq0tYEwAAAADoWJmyNQJNluqC9NBZ0s01Nzentq7Gxr+lb4cE/XsTvGMPvGAp2cg3zg0pd+5oK8HdtfzYI99457V055FvLN7tDWmQrctij3yTpVFuvNOFnMze6UKE7D/PaBmxR6yKfRzTGFkm5MIfu+155+0OjGPrvcdZo+uEjKRjiT2wk8UcIafQ4x37Wht5hJzq6uS2bt6cnC72oFOxj3fsEXLsdSTLGO0GSAev4XRzr776asvnQYMGlbAmAAAAAAB0DXSWdHP33ntvy+eTTz65hDUBAAAAgI5VZPBfWlasWKEbb7xRI0aMUK9evdSvXz+NGjVKd911l7Zu3VrwcufNm6eysrJO/TvllFPMZQ0dOtQ1/9ChQwuubxbQWZJR06dPb2lk1vDAixcv1rJly9pdxr333qtp06ZJkgYMGKDzzjuvGFUFAAAAAASaPXu2jjjiCH33u9/V0qVLtXXrVm3YsEELFy7U17/+dR155JH685//nFp9Pvaxj6W2rizqpi++ltYLL7ywW0fG+vXrWz4vW7ZM06dP32368ePHd3odr7zyiq6++mqNHj1aZ555pg4//HDtu+++amho0NKlS/XQQw/pN7/5jSSpoqJC9957r3r16lXQ9gAAAAAAiucPf/iDLrroIm3dulXV1dW66aabNHr0aG3btk0zZ87UT3/6U7322ms666yztHDhQlVXV3dq+SNHjtTixYs7nO66665rGUX1C1/4QrvTnnvuufrmN7/Z5s8rK5P5RF0JnSVFMHXqVP3sZz8zf/biiy/qxRdf3K2skM4SSWpsbNTcuXM1d+7cNqfZd999NW3aNJ1zzjkFraNQsYOn0giyip3pZ4a5NtT7KhOSVGZM5w4ba728QoMj2yrL+oEMUaptCwkfbVVmBSJ6xQ60cwsJxYwc3Grtv5A8Unf4c6HnZKkCeC2xg1GzVGZxth9LloMdg9p25BRLc28a6/CGw3qlEiBqXZM8K/CGtJYo9LWqyvdLVcBqgzbNs9slu015WedGSHvsysqVrVcg0qjLxIkTtXXrVuVyOc2ZM0fHHXdcy89OPfVUffSjH9WkSZO0dOlS3X333brllls6tfxevXrpsMMOa3eauro6vfTSS5Kk4cOH6+/+7u/anb6mpqbDZXZlWWqD6ITPfOYzmjZtmq6++modddRRGjx4sHr06KGqqioNGjRIZ555pu655x79+c9/1rnnnlvq6gIAAAAADAsXLtS8efMkSVddddVuHSW73HDDDRoxYoQk6fvf/7527twZvR6PPPKIduzYIUn6/Oc/H335XQ1PlhTB9OnTE6/adNb48ePbfeJk//331xe/+EV98YtfDFoPAAAAAKB0Zs2a1fL5yiuvNKcpLy/XFVdcoZtuukkbNmzQvHnzNGbMmKj1eOCBByRJZWVldJaIJ0sAAAAAABlSpr+9ipOFf2XF3Vw9//zzkj54Veaoo45qc7r80U1feOGFqHV488039V//9V+SpBNPPFHDhg2LuvyuiCdLAAAAAABwWLNmTYfTDB48uFPLXLJkiaQPckJy7QRAHXLIIYl5Ytn1VInUcbDrLs8995yOOOIIvfnmm2pubtYBBxygUaNG6dJLL9W5556rsrJidzMVF50liKah4W/BWSHZmWlkDoZk9TlyMiW1EeYaOygxciCeK+DVG9yaRgBk7LJSJSem0CCbcsngvJibGxJoF3TBiLzvvPupISBg0GLugmIHLMe+iHplKXw1crBsSEhr7GDQmOd3yG6yp0vuJzMU3bvAyDvFOoqVAcfbWxX/MUuut7L19Sx2SGsKoa+VVoBqQOhrqc4pM5Q3cgh66+aY5eDn7mjUqFEdTtPc3Oxe3vbt21tGT+2ok6Vv377q1auXtmzZopUrV7rX4fHQQw9Jknr06KELLrjANc///M//7Pb/5cuXa/ny5fr5z3+u448/Xo888ogOPPDAqPVME50lAAAAAIDM2JNGw3n//fdbPnuGA97VWbJ58+ZodXj++ef15z//WZJ03nnnqU+fPu1OX1lZqXPOOUennXaaDjvsMO2zzz6qq6vTggUL9OMf/1grV67Uiy++qDFjxmjBggXaZ599otU1TXSWAAAAAADgUFtbq4EDB0Zb3va8R6MqKzt+mmrvvfeWJG3bti1aHR588MGWz1dccUWH09fW1qqmpiZRfsopp+i6667TBRdcoDlz5mjJkiW69dZbdffdd0era5roLAEAAAAAwGHgwIGdziRpT1Xea3T19cZr/K3sGtq3R48eUda/Y8cO/eIXv5AkDRo0SJ/+9Kc7nMfqKNmld+/e+vnPf66DDjpI7733nn7yk5/o9ttvd3UEZU2Wnm4CAAAAAOzhSj36jfWvWHr37t3y2fNqzZYtWyT5Xtnx+NWvfqW6ujpJ0uWXX66KiorgZe6zzz665JJLJH1Q35dffjl4maXAkyXoVryZnZkKc/VWMHbwoqcusZN1vUIOUOwQx9j7PWQ6Z4Osb0je0q1AUs+mhezOIJGPtze4dbvxHSV2BrMZZGmF/5Xi/EujHWc8uDUkpLVU0xXaBEp16fbOW1UVEAQbe+OM5cUOgg35itD6um/Vw7yGWrIU+lptbYdxj8vQeWYfs8JDX63pQsKFkT1VVVXq37+/1q9fr1WrVrU77YYNG1o6S4YMGRJl/fmj4HhewfE69NBDWz6vXr062nLTxJkGAAAAAECJjBgxQpK0bNkyNbTTM7d06dLEPCHeeecdPf3005KkI488UocddljwMnfpzIhAWUVnCQAAAAAgM0r9yk2ar+FI0gknnCDpg1dWXnnllTanmz9/fsvn448/Pni9M2bMaOmciflUiSS9+uqrLZ8HDRoUddlpobMEAAAAAIASGTduXMvn+++/35ymqamp5ZWZmpoajR49Oni9u5aXy+V02WWXBS9vl40bN+qRRx6RJPXs2VNHH310tGWnic4SAAAAAABKZNSoUTrxxBMlSdOmTdOCBQsS03z3u9/VkiVLJEnXX3+99tprr91+Pn36dJWVlamsrExTpkzpcJ1/+tOf9Lvf/U6SdOaZZ2q//fZz1fXXv/51u8MWv//++7rooov03nvvSZKuuuqqluGOuxoCXlEU3kCyNMTOCHQHMQYEmgXtwJjpZWkETIYk64YE2HnF3jbvdMZ2uENKnWGurctCqmuFzZm98bHDOI19Ym6/UebdT86qhF3jShGcHDuNs0QhrbGDDtMIPU0j19tzObeEbH/s88cf0J5sA1VVyWtDUJByACuA1qqzl2e/WEHfmQp99d68jDpXGnW2woBDrvGW2OdQSOjrnqBM2fqrflkK67jnnnt0/PHHa9u2bTrttNN08803a/To0dq2bZtmzpypn/zkJ5Kkgw8+WDfccEPw+n72s5+1fP7CF77gnu/222/X5ZdfrvPPP18nnHCCDjroIFVXV6uurk4LFizQj3/8Y61cuVKS9LGPfczVcZNVdJYAAAAAAFBCn/zkJ/XII4/oc5/7nDZt2qSbb745Mc3BBx+s2bNn7zbccCGampo0Y8YMSVLfvn119tlnd2r+v/zlL5o6daqmTp3a5jQnnXSSZsyYoX79+gXVtZToLAEAAAAAoMTGjh2rRYsW6Z577tHs2bO1atUqVVZWavjw4brwwgt13XXXqWfPnsHreeaZZ1qG87344os79ZrMXXfdpWeeeUYLFizQa6+9pvXr16uurk49e/bUoEGDdMwxx+jSSy/VaaedprKyNJ7JKR46SwAAAAAAmVGmdF598UqzLh/+8Id199136+677+7UfOPHj9f48eNd044ZM6bgoX2PPvroLhvY2llZehUMAAAAAACg5HiyBEWRRphryDq8GWeVOSNoy0oMi50iVuykv7YUmgjo5d3x3vQ/KwQ1oA/YDFaL3Zid2+YNLi00zNUrJHQxKLjVOI5mHuBmoyxgn4RkKwflloacajEDUyOfe0GBiCXKVg455a1riLVfspzXXejyOyN2EKx1G7HWYYWA5oxrrfsuErBjrHVYdSk0DNiaJpXQ19gpqM5g2aqqwl9LSCO71hLzWtM6LLZUgyoA3Q2nEgAAAAAgMyr++i8rslQXpIfXcAAAAAAAAPLQWQIAAAAAAJCH13AAAAAAAJlRrmz9VT9LdUF66CxBlxAUMmlIJcw1jXBUS+wEMo+QHe8NlzPKrLC6sODA5PLKQ5IindNZ2xE7uNQj5DyzpzO+WjgDDM0wV+fpGDtv2ZJKeF7IeeVZnrMtmsfHaJ+x97ElJJDVms4MdY6chBryBdsM3zTKKqs6DkkOOc9CApJjB8t6rz/+0FerzAp9NdqKJXLoq9UGPEHm3n3nDn0NKQs54M70VetebR3HkDblFda+je8h3rYHIDo6yQAAAAAAAPLwZAkAAAAAIDN4DQdZwHEHAAAAAADIQ2cJAAAAAABAHl7DAQAAAABkRpmy9Vf9slJXACVBZwmiyeXijBARMiJHSFkqcf8hOyhkyIdSjHzj3fHGUARNVT0TZQEh+UFCRsixRixIY5SXkPMlppBTpVQj38S+rrhHYPFWxjpfnO2sdZk14lLs0Uwsaexjc3SzNIZ+scTeWc7pWl+nrBFOKo321LPGOWJXwPkYct7GvgV7562qco4aY4ncVqx7kDn6mGPx7hFyvKNuWWIP5WYtzzoHnCMdxW57lpDvttY1nhFygHRkqcMOAAAAAACg5HiyBAAAAACQGYyGgyzguAMAAAAAAOShswQAAAAAACAPr+GgKEKCI0NyUd0Biw31ycLYiZoWOzUuWRaywTGFLN+5XVaYa+zdHpsVpFeq4NLYOcKFLivkFAjZJyEhv2kEjVqssD7lkqGDlpAAzdZlaZxTJQtzTeNE62qhr87AYKvMDIetrjZm9QXBWlVJ41DEvp4p06GvybpFDxn1hr6GtPfIoa+VVckyb7u1xD7li31P70p4DQdZwHEHAAAAAADIQ2cJAAAAAABAnj30wS4AAAAAQBbxGg6ygOMOAAAAAACQhydLEE1FRfshVCHBYl5mmKuM8L/YqXHeDYm9cWnMW+jyA8Jc0wg3jR1C7A3ZTCM70suT/xgijYDbEGmEj3qve5bYwbet1xs7YzR2mZEfaodzbw5oQF0x4NXLc0J7A8at6Yx9V2mFwxplVVXJQGPrUGze7FqtKeQ6HZLRaoWFWttr/rUyYvvJGaHRsZunFXaeDJqVu/1ED4J1NpYq47tJGqd3yP3B2vcA4qOzBAAAAACQGWV//ZcVWaoL0kO3JAAAAAAAQB46SwAAAAAAAPLwGg4AAAAAIDPKJVWUuhJ5eMJgz0RnCaLJ5TofEBk7UNIMc42dIFqqlEnvvJbYSbqtGeFtTUa4XKnCPUNC1LxCwgSzEmYaO5M4jRxlLytfMHaZJWTbvOGWIVmmrYW0gZB95w5zzfq12+K9/sZOj/RM562bNwXVeXDNIFhjOivEMiQItlRNxVLs0FdrWVboq3eV/uBRY7us62XI95KQlGxjHda1xjo+pThFpeJn9ANoG51kAAAAAAAAeeirBAAAAABkRrmy9Vf9LNUF6eG4AwAAAAAA5KGzBAAAAAAAIA+v4SCacjXZAatpylKipMWbnhhS5lVouJoxTRphrrEDXr1CgtpK1aQKDdoMaWKe8FApnWMbc5+0VRaSQxgS/FuKgGBrW61A1uhhriEnX0hIdqlSHENOjkLn9c4X0uCtBmo1AmO6nsZ0VTU9E2VW9UICki1p3Kuih74mlpX8jmaF6HpX6a1GpfeibIm9452hrznjWFhV9rYfS8zs5+4YAstrOMgCjjsAAAAAAEAeOksAAAAAAADydMOHtgAAAAAAXRWv4SALOO4AAAAAAAB5eLIExRE7sTGNlM00UiYD0iibAvo2ywtN/rLCXI16hARWeue1lCrQLEthriEBp62n8+btxc61DMniTCPM1Rtc7T03Yge8FtrOYu8nb+iruT/DUjELnzf2RaRU9ypPWcjFNnJ4prk86zga05VXJ8v6GI3PCi61Ql8tIbslJPDT0rOqwHBd5zGzvx8U/n3DDi1NLs9cb0hZyLliHDSrfjkjzD7kK6slJF8ZQHycfgAAAACAzChTtl6BKCt1BVASWWqDAAAAAAAAJUdnCQAAAAAAQB5ewwEAAAAAZAaj4SAL6CxBPA0Nf0umCkl2TCMgL0TsULKAEFUvK1xNRlBZ6+DFkDDXkGDLECFhoVlSaEir5A/abD2vN8jUak8hp4BX7DDXypwzaNSbuGecUyHni5d3n7beB7HDXK16lDfU+ypX6EYoLFjXksotw5lJG9RGWze0kITtkIt8icp6Wo20OnmOekXOD+3EvSrZvis9MwecBFaQqXcV3umsdZRb54X3+hv7u6Nx0Cqrk+ttcN4PY4e+etYJIBydZAAAAAAAAHnohwQAAAAAZAav4SALOO4AAAAAAAB56CwBAAAAAADIw2s4iKexsf2A1zQSr9JI5vNO50xKbHKGQsbeNFvH/afe7L+QEEt3nmbkMNeQgDRvnb1SCTP1pOs6g0y9AnI8g/ZJ+fatycLtIWGucW+fIZnY3rLW+8UbBGzuTysMOGAj3GHSm42yFLJHQ4TdRqzwyOT5Z5VVVffc7f+VNc5rQBplltjp4c7Q11xNz0SZZbPR9iyxw83N9mO0i4JDXw122Hfhf1/1nlPmNoSUxU7gNeatqvJ9h7OE5Il3NF863xmLi9dwkAUcdwAAAAAAgDx0lgAAAAAAAOThNRwAAAAAQGaUKVt/1S8rdQVQEllqgwAAAAAAACVHZwkAAAAAAEAeXsNBPA0N7cdvhwz3kKVY74Bkdmvkm5BRY4ot9ogSIcnvhY740ZnpLLGbbexts0Y0KW+oTxZudjQ057Ad5cZ0uZw1aodrcUHbXynntnpPNG+lzXmzPUpQ67ZijnJjtR1r1CAvawQw4+801kgj3oFVrHlDBlaJLfYAH4WeL9bIOlVVyZFgqozRYexrSsBBiz1qjrcRGGWVNcnJagJGyPG2Ke/meuWqdz++QX8NNTbCGnHJOWsn7qPJWpdbF6o0Rlx0jpBTXu27H8Ye/DHygGyZxGg4yAKOOwAAAAAAQB46SwAAAAAAAPLsAQ9xAQAAAAC6Cl7DQRZw3IvgnXfe0RNPPKFbbrlFZ555pvr376+ysjKVlZVp/PjxRVnnzJkzdfrpp2vgwIGqqqrS0KFD9fnPf14vvfRSUdYHAAAAAEB3xZMlRXDAAQektq7t27frwgsv1BNPPLFb+VtvvaW33npLM2bM0JQpUzR58uTiV6ajgFdLlsJcQxIWnWVpBKF6eXZ9SN1C6uGdLnboa2whuXTeZla+fWuy0Jtk6Ql4dW6EFf4Xsv1WmXtbQ8IjQ9KAnUJWETX41xP6G1gRb5hrSFmhzb2tMi9vu7XEDn/2XM+deZVtXHuS53d1Tb9EmTsI1iqzKhNycAMSVENCXy0h2bXeTWu9+6xjFvIX0nI1maWF8m5rZcB9yf0d03shcM5r7fuQVXim2xMCX4FS4MmSIhsyZIhOO+20oi3/qquuaukoGT16tGbNmqXa2lpNmzZNBx10kJqamnTLLbdo6tSpRasDAAAAAMRSnsF/2PPQD1kEt9xyi0aOHKmRI0fqgAMO0PLlyzVs2LDo65k/f75mzJghSRo7dqz+4z/+QxUVFZKkkSNH6pxzztFRRx2lFStWaNKkSbrgggtUU1MTvR4AAAAAAHQndJIVwa233qqzzz676K/j3HnnnZKkiooK/ehHP2rpKNmlf//+uuOOOyRJGzZs0LRp04paHwAAAAAAugM6S7qozZs365lnnpEkjRkzRoMHDzanO//889WnTx9J0qOPPppa/QAAAACgEKV+5YbXcCDxGk6XVVtbqx07dkiSTj755Danq6ys1LHHHqs5c+aotrZWO3fu1F577VWcSjU2tp9MFTt9Ko0g2IB0vfqG5GU1JHcyJHcxZHmx5uuMkOBWq6wyZwXTeesS9/YYEkAbFHAa84AbZeVGha19Z26XFRxobYM33dO7/SVKxIsdVlwpK1TTsV+8iZ8BZd5sz7o633QheZ9eaYROh4TDFtpsvfvE2u/efWwFW1ZZQbBWQw5J+S1R6Gt1ddzQ15Aqt24XVjsxw1IDTpbYGf32vMn7iLkdhSYfd4bzmlle7bsfxtR6sxobi7o6YI9BZ0kXtWTJkpbPhxxySLvTHnLIIZozZ44aGhr0xhtv6NBDD3WvZ9WqVe3+fM2aNe5lAQAAAADQFdBZ0kWtXLmy5XNbr+DsMmTIkN3m60xnSf68AAAAAFBsZZLKyspKXY0WZc3Npa4CSoDXr7qo999/v+VzdXV1u9P26tWr5fNm6/FVAAAAAADQgidLuqjtee9NVlYm3xHOt/fee7d83rZtW6fWk/8Ei2XNmjUaNWpUp5YJAAAAAECW0VnSRVXlhaPV1xvhfnl2BcFKUo8ePTq1no5e8SmpkOAub0KeM0G0KZfssGoICCL0ZlHGDjFsvbzYYa6Rd7s/zDUgAdIKLjXD5YwH9bzba9Y5dsCph7VDAxqt+9FF7zaEJH56RQ599e5SO4zRaBfewMtC94tVEevpxYBQ61IdxtjBummEuVpi3gu884WEkVrNp6oqGYxaWROwU0KCngtNUJXU06pztfF9IODeX2iZmUVanTxH3ddp88KV3NaQ9umdrrLKeZKGfJkKqbRRlrO+J6YQmN+l5XJShl7DUXNzagdtxYoV+sEPfqDZs2drxYoV2nvvvTV8+HBddNFF+upXv6qePQsPl54yZYpuvfVW17TPPvusTjnllHanee+99/SDH/xAs2bN0vLly9Xc3Kxhw4Zp3Lhx+trXvqZ999234LpmAZ0lXVTv3r1bPnf0as2WLVtaPnf0yg4AAAAAIH2zZ8/W5Zdfro0bN7aUbd26VQsXLtTChQs1depUPfnkk/rIRz5Swlp+YOHChTr33HMTA34sWrRIixYt0tSpU/WrX/1KRx99dIlqGI7Oki4q/4mPVatWtdsI81+lIbAVAAAAALLlD3/4gy666CJt3bpV1dXVuummmzR69Ght27ZNM2fO1E9/+lO99tprOuuss7Rw4cLgP4IvXry43Z8PGzaszZ+tXr1aY8eO1bp165TL5fS///f/1tlnny1JeuKJJ3T33Xfr7bff1tlnn61XXnlFBx54YFBdS4XOki4qf0SbpUuXtjvtrp/ncjkNHz68qPUCAAAAgCB74Gs4EydO1NatW5XL5TRnzhwdd9xxLT879dRT9dGPflSTJk3S0qVLdffdd+uWW24JWt9hhx1W8Lz/9E//pHXr1kmSZsyYoQsvvLDlZyeeeKKOPvpoXXTRRVq3bp0mT56s++67L6iupcJoOF3UyJEjW4Jd58+f3+Z09fX1eumllxLzAAAAAABKb+HChZo3b54k6aqrrtqto2SXG264QSNGjJAkff/739fOnTvTrGKLdevW6aGHHpIknX766bt1lOxy4YUX6vTTT5ckPfDAAy0dK10NT5Z0Ub1799anPvUpPfXUU5o7d65WrVplhrE++uij2rRpkyTpvPPOK26lGhr+1uMaOSQxiLcuAcl83my5kBBDb05ZTGlk6HrDFN1hrt6dHHmH2qGvBjNg0CgLCXMtdHtD/mIS0pBjh9l6j23kE6hcyfaYyyX/JuEP9HXuF6vM0wZCUkuNebdHDm4NCYQOua5kPeDV4tmn3suCN+/Uuzxv86yqSv4xp2dNTXJCa+fV1SXLLCGhr9aGmKGvNclVGMGq3tUWetys3WQtv6cVluoNQDeued6w85BMVStM2rwHe8ti3/uMMiuUtsG4P3hXge5n1qxZLZ+vvPJKc5ry8nJdccUVuummm7RhwwbNmzdPY8aMSamGf/PYY4+psbFRUtt1laTx48fr6aefVmNjox577DFdc801aVUxGp4syajp06errKxMZWVlmjJlijnNjTfeKElqaGjQtdde29Jod1m/fr3+4R/+QZJUU1Ojq6++uqh1BgAAAIBgFRUfdG5l5V9FRVE39/nnn5ck9erVS0cddVSb05188sktn1944YWi1qktu+oq7V6f1rJQ11AZ+vN/9/HCCy9o2bJlLf9fv359y+dly5Zp+vTpu00/fvz4gtZz6qmn6pJLLtHMmTP12GOPacyYMZo4caIGDRqkxYsX67bbbtOKFSskSbfffrv69u1b0HoAAAAAAEqM/mKxnvhvz5IlSyRJw4cPV66dxw8POeSQxDyFGjNmjH7729/q/fffV01NjQ499FCdccYZmjBhQru/N+5a7z777KMBAwa0Od3AgQPVp08fbdq0KbiupUJnSRFMnTpVP/vZz8yfvfjii3rxxRd3Kyu0s0SS7rvvPm3atElPPvmknn32WT377LO7/by8vFyTJ0/WhAkTCl4HAAAAAEAaNWpUh9M0Nze7l7d9+/aWP6531MnSt29f9erVS1u2bNltxNNCzJ07t+Xzu+++q/nz52v+/Pm64447NH36dJ177rnmfLvW6+kQGjJkiP70pz8F17VU6Czp4nr06KHZs2drxowZmj59uv7whz+orq5OBxxwgE488URdd911ZkAQAAAAAGRSLieVZygxosnK6Inj/fffb/nsGQ54V2fJZitLyeHwww/XuHHjNGrUKA0aNEg7d+7Ua6+9pocfflhz5sxRXV2dPvvZz+rxxx/XmWee2WZ9vXWVVHBdS43OkiKYPn164lWbzho/fnynnji57LLLdNlllwWtMzNKFQ7rTPWzgsW8QWUhgWZp7BZP3mfsenhDF3tWOUMxY6foWpUJ4U31i50aXOiBC2m03uXF3taQ7Y+cxlneUJ8s9KZgessKbQMBQbjWdTB2mGvs4Nag4Oigi3yyyAx19jJ2gjnOXevpjIDJplxyzpAM1JAQWbOtVDtDXy1W6GvIcXQGvFpl1dV9Cl6tV+t5rX1sVbfJiC8sDwhBLVF+qhmgmkqSsreBG3XJGedfKcL80Xm1tbUaOHBgtOVtz2sznpFL9957b0nStm3bOr2uiRMnmnmYxxxzjK644grde++9+vKXv6zGxkZdffXVWrZsmXr06GHWt9h1zQJOPwAAAAAAHAYOHNjpTJL2VOX13NfXG39kaWXHjh2SlOjE8KjpoMN5woQJevnllzV16lS9/fbbevTRR3X55Zcn6rt169ai1zULMvRsEwAAAABgj7cHjYbTu3fvls+e11W2bNkiyfcaTCHysy7nz5+f+Pmu+mahrsVGZwkAAAAAACVQVVWl/v37S5JWrVrV7rQbNmxo6YAYMmRIUepz6KGHtnxevXp14ue7nqrpqK7S38Jgi1XXYqOzBAAAAACAEhkxYoQkadmyZWpoJ+hn6dKliXli62gkn12dKRs3btTatWvbnG7NmjXatGmTpOLVtdjILEH3EpKCZcxrBZ+F5FPGzqK0ePMpPSFssUPFQsIZo4eAWkKS6UKmC2ksIcl5rYU0Hkvs5ONShbkWegK1VRYS5mqVFdq+A07ILAW3Wk/2msG61r6rK8F5VirGTi43dmhPcycny6qqkvdHb/6wxXuqWH/n62k1Au8x855TAaGvVmBqVVVPoyy5uEJvDyGX0MoU7v2xQ1+t0OlKa4fGvrcGLC9XlQzHjL2vurQiv/rSaWVlRV38CSecoOeff15btmzRK6+8omOOOcacLv+1mOOPP74odXn11VdbPg8aNCjx8xNOOEEPPvhgS30uvvhiczlp1LXYeLIEAAAAAIASGTduXMvn+++/35ymqalJDzzwgKQPglpHjx5dlLrce++9LZ9PPvnkxM/POecclf91WOe26iqpZXTY8vJynXPOOXErmRI6SwAAAAAAKJFRo0bpxBNPlCRNmzZNCxYsSEzz3e9+V0uWLJEkXX/99dprr712+/n06dNVVlamsrIyc3jgxYsXa9myZe3W495779W0adMkSQMGDNB5552XmGbAgAEtI+Q8/fTT+uUvf5mY5he/+IWefvppSdLnP/95DRgwoN31ZhWv4QAAAAAAsmPXaDh7kHvuuUfHH3+8tm3bptNOO00333yzRo8erW3btmnmzJn6yU9+Ikk6+OCDdcMNN3R6+a+88oquvvpqjR49WmeeeaYOP/xw7bvvvmpoaNDSpUv10EMP6Te/+Y0kqaKiQvfee6969eplLuu2227Tr3/9a7377ru69NJL9fLLL+vss8+WJD3xxBP67ne/K0nab7/99M1vfrOQ3ZEJe1YLBAAAAAAgYz75yU/qkUce0ec+9zlt2rRJN998c2Kagw8+WLNnz95tuOHOaGxs1Ny5czV37tw2p9l33301bdq0dl+dGTJkiB5//HGNGzdOa9eu1R133KE77rhjt2kGDBigWbNmtYye0xXRWQIAAAAAQImNHTtWixYt0j333KPZs2dr1apVqqys1PDhw3XhhRfquuuuU8+eyYBoj8985jMtr/j87ne/07p16/Tee++publZ/fr108c//nGdccYZGj9+vPr06dPh8o455hgtXrxY99xzj2bNmqXly5dLkoYNG6Zzzz1XEydO1L777ltQXbOirLmjsYGAdqxatapl3OyVCxdq8K7E5JAhEEr0yF1TLplK7g2/T2NQlpDRImLu0pBUdu82uEeyCNnxITs59ugopRrpp/W2WSNKhDQo77aGHFuL9zha2xt7H8Qe+cYeHiTJql/rbaupSU5jlDXV9HNVI/bh6VnVlCyMPWpQyPnjnS5k3thDhnjWGXD+NBkjvHjbSsihsE7bnjnjPlJX5yvzth9vZaxzrX//RNGmzckoQat6nnPNWzX3CFMyzkfnPrFGqok9YmD0a4j3gmYJuN9491VrrffJ6tWrdPDBf/1+vnJll/nL/m6/VwwZosEZeg1nVUODhqxcKalr7VOEIeAVAAAAAAAgD50lAAAAAAAAebLzbBMAAAAAAFkbDYfkij0ST5YAAAAAAADkyVB3HboVb2hciQJem4x+Qm8WZUhGYIjYuzR2lmCh64we5hoSyubdKSE7z9uAYjcqTyJehs5RU0hQpjcNOSTQN+SCkUZbbr1tzu33NkXvrnOHLq6qS5Z50y5jp83GblPeuoRcL1qXhbRPZ1l5dbKsjxVsadyDY58+uepkaHulVRfvikOmcwZbV1UlR5+wmk+ht4yQw11pXX4D7gVp3Eat73rlpfqS5Kx0zhhsoNjf1wC0jc4SAAAAAEB25HK8hoOS4zUcAAAAAACAPHSWAAAAAAAA5MnQs00AAAAAgD0er+EgAzLUAtHl5V/UAoIYrUCu2CJn2rnX4ZVGmGu5kiGLrQPcrGMRct8yw1xDglu9gXveSofMWyreA+4JngwJPPU2+Nghst5ttYIdrTJjXu81yX3lih3oW+jxdm5/gxWe6TxklTLO+fV1Rtn6ZJkV5moFwYYk0HrLampcZU1VPRNl3suUyTq0xmGrzDlCc50ho2mknXtDX0OqZ7bR6uTxKbfq4l2JxZrX2hCjnVUaZVVVycDPQqsX8v0llzPCUo3vEZY0Akr9QbUphJaHfKF0BrwCSAev4QAAAAAAAOShrxIAAAAAkB0VFdl6rKbJ9yQVuheeLAEAAAAAAMhDZwkAAAAAAECeDD3bhG7PGeYaO/TLEjtfMfNhrlawqoPZmxoSlho7ODAsra7wMos3wS72ei2FBlkaQYfeczRnhNK5249VN4t3fzrDXL1hnBYzzDT248Ih4b2efWDMV9/g+xuKP8zVCG71llmhmN4kz5Dg1v79E0VNNf0SZWaV1xplzpDSkMtFdXXyuNXU9Nn9//37JKYpt/aJFazrvU5b01nLM1RXJ+sXcsuw9ru173pa54q1EmtfhRxcZ+irFfDqOQ3SCKMvlZBtq6wKuAenkEprh+buoX/bztpoOLyGs0faQ88+AAAAAAAAG50lAAAAAAAAeTL0bBMAAAAAYI+XtdFwGhtLXQOUAE+WAAAAAAAA5MlQdx26vPweYGdYVuygVa+Q/NAshblaeXNmmGuhGxI74CxLYa6W2AfIK/Y6Cgz8tMI9QwJPrWBCM1DSOmbe0FdnwKsV5urNZrRY1XMHB1pCpnMG2rYOM61XYcGRklSZM4Lu1tcly6xwTysZ1RsqavHuEyO4VQMGJIo2KRk0un55ctaQzfBeCi2F5vnam5/c1j4DjBV4A3i9iazGvOXGcayuTp63IbcMM7e1xnmdsspCgm+tdmtMV2kc3KqqjoO3Q26Z3rLKyLe92Kw6W6HlVtsLCn2N/B3GClAvdPEAOofOEgAAAABAdmRtNBxew9kj8RoOAAAAAABAHjpLAAAAAAAA8mTo2SYAAAAAwB4va6PhEAyzR8pQC0SXl/9uoXFxs0K1ShXwmobYmaJmmKuMkMWQ5MCYYqfoerchdkir92CECFmHd14jJHDr9t3PyZCm4911ld7t8gYiGstrMsLwvMGbIfnAVuiiGRzoDbn1Bt86wlylZKBr0PY7QzvNHW9N562Mtf3GtnrDXP/SkAw4Xbs2OatVFhLmGvsy7WkW3t0+YEDy/Nnf2p+WyKGvlf2TG+YJN21rFd5m28c6p7zXpJBkVWcFq6qS7bb1rFn6HdP8rmJ8J4y9O/1BtZFD270ifjdrXd2KimiLBvZovIYDAAAAAACQJ0P9zgAAAACAPV7WRsPJUl2QGp4sAQAAAAAAyENnCQAAAAAAQB6eJ0I8eY/LWQGL3kC7kLwr7xNyIYFhIev1zmuF9VXmAsJcvWWtKxOSdmlJI9E3JKTVW+YMMDbDPWM3PmedW4e5SsncwJDQSedukoxwRjP01Xkc6xuM7apLzho7U9R7aN3Bgd7gWyt40iirz/VMlHmOtzvncHtAomZIsqy1/Vb46ODBiSIrzHXVquSs69cny2IHBFuHO2RXWe27dVnIOSA5Q1+9oaUBiaw5o217edt8dXVye8u994fY+8CYzvo+kMuVt/q/b5WWrAftxw59rawKCHyPvVON6czvEnvC37uzNhoOqbl7pD3gTAMAAAAAAPCjswQAAAAAACBPhp5tAgAAAADs8RgNBxnAkyUAAAAAAAB56CJDPHlBTCEZo1kKFosdGBuQHxoUiFf0nRoSehayDu90AWGu3rBiuyrJ/uicsbzy6oD9Z2yvJ8xVSm6HNU0I9x9hjNBXaz8VGmzZVpn3OFqsbbOWZwYHBgTaWvNaYa5WIKnn+HpzZjMV5jpgQKJoay4Z5rrWCHP1Brda1aupSZa5r+cGa73WMbPq7NmOkPut3RST52gfa6dYibneyhg7paom2d69gbkWb7Pt6b2PeC+kAfvAmq718cjSd6lS8e5iM6Ddu5ISJel68vgBhKOzBAAAAACQHbyGgwzgNRwAAAAAAIA8dJYAAAAAAADk4XkiAAAAAEB25GUhZkJFRalrgBLgyRIAAAAAAIA8GequQ5eXF8TU4BwAIXY6f6l4B7LwllXmmpKFm1PYqa3FHg4oZB1eKYx84x8Nx1vmGw3GEjIoSetBG9IYHSb2dN4RREKOo8U7AILVpsqt9mjNbI18o+TyCh0dxds+o/Ou2BpZxRj5pqn//omytcuTs3pHvrEOj1UV58A8qlR9stB5vN9Zn7w2LF+enHWVMdJP6zLvKFFr17qqZpZVD0+OQlRu7WTrYDhHgilvSO5P63rpvYZYzNFwapxDHXnP75AR7oyyXKvRcLzXqOjnvHMlsdcbMgCNVVbpvU7FHobGW8Fc+8c7S9+Rga6MUwkAAAAAkB2MhoMM4DUcAAAAAACAPHSWAAAAAAAA5OF5IgAAAABAdjAaDjIgQy0QXV2TytX014eVQnJHQwLIYoeXxZ7XmwVnBrqFhMEVKvZNKo3lBQS8esNCQ/LcrKqEBG2GBLy2LgsJrvWGtIaE8MXc1rbKLN7tcAcHmid9Un1D8uFPqz1aWZmekFvvqWJuQ7LI5j1Hq6uTZc4EVSuQdP36ZJm1T6zqWSGtw4cnyypX/TlZOHdpssxKX7Uan7EP9h86NFn2iU8kygYM6Jcoa71tVjCsN/TV2p/eQ9bP29C89z2jzBuIbfFea6zz0TyX00guNfdBx9Uo2e+djoBSKZ36RQ94zdIv8wCi4zUcAAAAAACAPHSHAgAAAACyg9FwkAE8WQIAAAAAAJCHzhIAAAAAAIA8PE+EaBoa/haSFRJ+2NayPbxPyJUqt9TKgitXU7LQmzgXslNj7oQ0Hk0MScw1kgi3bveFZ4bs9pD2mEbAa+s6hwTXeoWsI+S08E7nXa93Onte398pvIHD3jLPdkRvA1ZDtpJBa2qSZUZa6KbtyVBIK3zUCr21WKs1MlVV+cffJgvnzUuWvfRSsmypEfpqVdCqzGGHJctOOCFR9KEzzkhO94mP7PZf69haoa8h7c7arH5DjePtTdu1mBfbwme1eK+h7oDX2CnRRlnr7xK5XPI6461Gd3nbIOi7aFW2w1xbH++m7vj3b0bDQQZ0wzMLAAAAAACgcHSWAAAAAAAA5MnQs00AAAAAgD0eo+EgA3iyBAAAAAAAIA9dZIimsbF4Aa+xgzJDOoejh3YWmsbZVplXoaluaezQkIZhBO7VNyT7hUOCUa2ykEBWKyPQEjkPMJVA1z1dyD72Bm2GXEI805jzecOVvQGYzoDX9cuTk1kBr97zzFiFeq5fkSx84YVk2axZiaKdzz+fKHs7Oae2GmVVK1cmygYtXpwo23vVKmPupA9dcslu/187uF9iGiuQ1bs/vaGv1vW3MvJfaENuS6mEgMb+i7SjgrlcMgzZUqo/lpvh9hn6G64VmGrWbk9LzQX2MJy5AAAAAIDs4DUcZEB2unABAAAAAAAygM4SAAAAAACAPDxPBAAAAADIjoqKbL36UlFR6hqgBDLUAtHVNTS0H/AaW+zrZxrLK2+oTxaWKrXTE7wYkpgbkq4XkKLbZITabQ8IxQzJ2vVmYMY+X4p9/sVuFtFDkwOU6ntZyOldaLu1ttUdDOs9GNXVvumMgNdNm5MPv1qBpN7QW6sqVq6sXl5mlL2cKGo0wlxfNRZnxMXKqLJ6GmV/McoOM9a79+DByQkPOWS3/w497NTEJFZWrLWPLd62Yk0XFPDqvMClcmuNfUGzeC/oiRM8eS+Mfq2NnNwf+6uEdzr3PTP2sY2odWCuHaALoLN4DQcAAAAAACAPT5YAAAAAALKD0XCQATxZUmQrVqzQjTfeqBEjRqhXr17q16+fRo0apbvuuktbt24NWvaUKVNUVlbm+jdv3rw4GwQAAAAAQDdHF1kRzZ49W5dffrk2btzYUrZ161YtXLhQCxcu1NSpU/Xkk0/qIx/5SAlrCQAAAAAA8tFZUiR/+MMfdNFFF2nr1q2qrq7WTTfdpNGjR2vbtm2aOXOmfvrTn+q1117TWWedpYULF6raSp7rhMWLF7f782HDhgUt36OjgNeQUEyvNEImLWaQVqmCWy2Fbpx3RxmppU3OB9fKA3Z8fUNyHbHDXL0hhmmEj3oVu82HLN+TKyyF7WNviK51bEPqHLsNFPsSEnTpqTZ2irWjLNZ0xj2wbm1yMm/Aq5dZ5fXrk2XLlycnM2Y1qiwjQ1WbjDIr4NXSzygb9sc/Jgtb1Xn/U5L3qerq5DU0JIQ6KCizRBfMkCBl6x5khtfG3jZHpXMB19pUmCtOhtKWilU9s3aZ2qndDKPhIAMy1AK7l4kTJ2rr1q3K5XKaM2eOjjvuuJafnXrqqfroRz+qSZMmaenSpbr77rt1yy23BK3vsMMOC60yAAAAAAAQmSVFsXDhwpaMkKuuumq3jpJdbrjhBo0YMUKS9P3vf187d+5Ms4oAAAAAAKANdJYUwaxZs1o+X3nlleY05eXluuKKKyRJGzZsIIAVAAAAAKS/jYaTpX8pKeYAIZs2bdLMmTN1zTXX6Mgjj1RNTY0qKyu133776ZRTTtFdd92lOuud11aGDh3qGmRk6NChQfUtNV7DKYLnn39ektSrVy8dddRRbU538sknt3x+4YUXNGbMmKLXDQAAAACQPcUcIOSpp57Seeedpx07diR+tn79es2fP1/z58/XXXfdpf/3//6fRo8eHbQt3QGdJUWwZMkSSdLw4cOVa6cX8pBDDknMU6gxY8bot7/9rd5//33V1NTo0EMP1RlnnKEJEyaob9++BS931Sormu5v1qxZ0/K5sTGbmVberDUzpNUSknQXO7g1duhr62Q/Z9qlFXLnr1pyXm9eWkgwnze4tVRtuhRBx951WgGQIWWlCkG1xA6qjX0cYwrad96dYrECoXPJ6MSQEGZL0LlszFxvTGZVxVtmsf5+aM7rSb41dlRVVTJW1jqM3jBkd5tNI/E9YLVB94KQ9OcS3HCCviPFvtimIPqxDZkOaKXYA4S899572rFjh8rLyzVmzBidccYZ+vjHP66amhqtWrVKDz/8sB555BGtW7dOZ599tl588UV94hOfaHeZ5557rr75zW+2+fPKyuwENxeCszmy7du3a/1fk/QHDx7c7rR9+/ZVr169tGXLFq1cuTJovXPnzm35/O6777b0DN5xxx2aPn26zj333IKWO2TIkKB6AQAAAECn7IGj4RR7gJC99tpLEyZM0M0336wPfehDu/3sk5/8pMaOHavjjz9eX/va17R161bdcMMNeuaZZ9pdZk1NTbceaITMksjef//9ls+e3r5evXpJkjYXOPbh4YcfrsmTJ+vxxx/XK6+8opdeekk/+9nPdNppp0mS6urq9NnPflZPPfVUQcsHAAAAABRPGgOEXHzxxfq///f/JjpK8v393/+9jj76aEnSvHnz9N5773VqHd1Nhrrruoftec+qeh472nvvvSVJ27Zt6/S6Jk6cqClTpiTKjznmGF1xxRW699579eUvf1mNjY26+uqrtWzZMvXo0aNT6+joiZc1a9Zo1KhRnVomAAAAAOADnRkg5KabbmoZIKQYmZennHKKXn75ZTU1Nel//ud/tO+++0ZfR1dBZ0lkVXkv+9bXW280725XwE5nOzGkDx57as+ECRP08ssva+rUqXr77bf16KOP6vLLL+/UOjp6lQgAAAAAokp5BJoOFbkuWRogJD8Atrx8z34RZc/e+iLo3bt3y2fPqzVbtmyR5HtlpxATJkxo+Tx//vyirAMAAAAA9gRr1qzRqlWr2v3XWaUYIKQtu35nzOVyGj58eLvTPvfcczriiCPUq1cv9ezZU8OGDdPFF1+sWbNmqbm5uSj1S1OGuuu6h6qqKvXv31/r16/v8ETZsGFDS2dJsYJUDz300JbPq1evLso6dmlo+FuieOxRRULC5c1U94aOn/qRFH+kmjSG7vBO5ylzjnzjHVnGy7tZ3pFv0hiYyCt2W465n72DUVijZVj9vVZZpTWGyHbfiqur4yaqh4x84y2rzDlH2XKOChV7NCEP65xqMupbHrBDQ0a+8Y6GY/39whpEZn/rqc3+/RNFfYx1eMss1lhC1p9RkuPXSLLq7BndzBByDrhHyAm51hoLjH2ND5muMo2hzCIu3j0IUchOdq44V5WdUTPsY2tMGHJjztJTE+gUTwRBZzoKSjVAiGX27NlatGiRJOn0009Xnz7t38X+53/+Z7f/L1++XMuXL9fPf/5zHX/88XrkkUd04IEHRq9nWjhLi2DEiBF6/vnntWzZMjU0NLTZO7h06dLd5imG7tCjBwAAAGAPsgeNhlPIACFbtmwpeICQtvzlL3/RtddeK0mqqKjQv/7rv7Y5bWVlpc455xyddtppOuyww7TPPvuorq5OCxYs0I9//GOtXLlSL774osaMGaMFCxZon332iVrXtGSoBXYfJ5xwgp5//nlt2bJFr7zyio455hhzuvzXYo4//vii1OXVV19t+Txo0KCirAMAAAAA9gS1tbUaOHBgtOWlOUBIWxobG3X55ZfrrbfekiT98z//sz75yU+2OX1tba2Zn3nKKafouuuu0wUXXKA5c+ZoyZIluvXWW3X33XdHq2uayCwpgnHjxrV8vv/++81pmpqa9MADD0j6IKh19OjRRanLvffe2/I5PxAIAAAAANA5AwcO1ODBg9v91xlpDhDSlq9+9av69a9/LUk666yzNHny5Hanb2+gkd69e+vnP/95yyg6P/nJT1zblUV0lhTBqFGjdOKJJ0qSpk2bpgULFiSm+e53v9sSynP99ddrr7322u3n06dPV1lZmcrKyszhgRcvXqxly5a1W497771X06ZNkyQNGDBA5513XiGbAwAAAADp2TUaTpb+FUmpBwi56aab9JOf/ETSB29I/OIXv1BF4GtH++yzjy655BJJH9T35ZdfDq5nKfAaTpHcc889Ov7447Vt2zaddtppuvnmmzV69Ght27ZNM2fObGmQBx98sG644YZOL/+VV17R1VdfrdGjR+vMM8/U4Ycfrn333VcNDQ1aunSpHnroIf3mN7+R9ME7Z/fee6969eoVdRtLzR3mKiNgMY10z1IliFoKTBBtyiUfBdxuXMOzFPDaFYNbQ8ITvVl6nnljB7yaYa7WlwDnASo3Vlxd7Y3PTPK2M+/29qwyrjXOk6PSWEmVEXYY0lY8vOeKtVk9ixxO2RZv0LPV9NauTZbtbyX/f+ITiaJ9jC9+Q9esMWqYtMkoswJeBxhl5gu1eaMjtGj1l816JduT93h72511XljTqc5503C2nzTy1IPuLbETux37xfzu4wySji7g2Kax2qDj6J2O0Fe0o5QDhNxxxx26/fbbJUlHHnmknnjiiWhPrKQ50EixcEYWySc/+Uk98sgj+tznPqdNmzbp5ptvTkxz8MEHa/bs2bv1JnZGY2Oj5s6dq7lz57Y5zb777qtp06bpnHPOKWgdAAAAAIDiKcUAIT/60Y/0j//4jy3Levrpp6MGsXaHgUboLCmisWPHatGiRbrnnns0e/ZsrVq1SpWVlRo+fLguvPBCXXfdderZ0xwEsEOf+cxnWl7x+d3vfqd169bpvffeU3Nzs/r166ePf/zjOuOMMzR+/PgOh3wCAAAAgMwo8qsvnVbkuqQ9QMiDDz6o6667TpL0kY98RHPnzlX//v0LXp6lOww0kqEW2D19+MMf1t13393pBODx48dr/Pjxbf58//331xe/+EV98YtfDKwhAAAAAKBUxo0bp29/+9uSPhggxOosiTVAyKOPPqorr7xSzc3NGjx4sJ555pnonRkbN27UI488Iknq2bOnjj766KjLTwsBrwAAAAAAlEgaA4RI0pw5c3TppZeqsbFR+++/v+bOnauhQ4d2qq6//vWv2x22+P3339dFF12k9957T5J01VVXtQx33NXwZAmiaWzsfJBmSCimO0vQmz5aqvDVECFhY47EPu9uCgl4DQktjS1kHSHBrd6y8oZkYGplVXLFTUY/uLU867h5WMsyw1zr6nwrtcqcDcPq8e9jpsP79onFe2zNBNFCd7Kk6upkIKe1Cm/QZut5Ywcp+y/KPiGLs+pnNUcrR2/4KR9JlPU84YTkhEY67LAnnkiU9TNCX62A1+TRlqwHoiv++mV6N8cemyxrFfpqhdl6Tz2rjVmjRlrtrnz7Vt+KA24aDQG3+ej3m5D7csTprPuAV1Awflf8LhUidvI6/qaiIlv7KHB0GI9iDxDy0ksv6bzzzlN9fb322msvfe9739POnTv1xz/+sc15Bg8enBgm+Pbbb9fll1+u888/XyeccIIOOuggVVdXq66uTgsWLNCPf/xjrVy5UpL0sY99rM2Om64gQy0QAAAAAIA9T7EHCPn1r3+trVs/6MDeuXOnLr/88g7nuf/++81oiL/85S+aOnWqpk6d2ua8J510kmbMmKF+/fp1uq5ZQWcJAAAAAAAlVswBQmK566679Mwzz2jBggV67bXXtH79etXV1alnz54aNGiQjjnmGF166aU67bTTVFZWVtK6hqKzBAAAAACQHXvYaDj5ijVAyJQpU6K8EnP00Ud32cDWziLgFQAAAAAAIE+GuuuAtnlzsbpNKFkaSaPGdE253SMGtzvzKkN2J2GuUs8qo916g1AN5UYFK40VV1Z3HAhonlNWPazkUW/gqTcE1dp5zoZmhb7WN/j+XlCZCzg+1j6wGPNataup6VNwVYp+iQs4qWKHIVu73Rvw+vvfJ8v+7tOfThZaBgxIFO1jLHCf9euT81r7zxqhwPprnhFAWz9496Da9UZ+n9UmvGGu/Y30WatMa+uSZQHBx2bAa8BtPpVbf0iYa5GDQc1Fxd6h3hDUDAmqXsj2EgQLZApnHwAAAAAgO/bA0XCQPbyGAwAAAAAAkIfOEgAAAAAAgDwZerYJAAAAALDH24NHw0F2cNSRmlTyzUqV8hb7Aho7fdSZSNo6c88bHBkSJplGllmJdqeMTFGzLHoQqlVBa95WlbaCYc0DGRJuGrJdIQ3NmM4KvbX3nbEOb6CtVeZN1TT0HJCcrqamMlHm2aXWNN4mYO5278lizFzeUJ8oq65ObpcVNGqdU1aYq7W9Vs7q0qXJMutB3E+ccFqirOfw4clZly1LllkVtFiJqcY6tvb/UKJseavVWqu0Do+1P43cWrNq5XV/SRZ6D0bAzT/kslIyGQ59zX5ibmnYIehOBLcCXRKv4QAAAAAAAOShSxMAAAAAkB2MhoMM4MkSAAAAAACAPHSWAAAAAAAA5MnQs03YE4XklpWrKVnoDRtLI/ktJLwtZB3O9NGmXDI8scER8Bo7480bKBmSjeZdh5c34NUqK9++NVkYOwjVYlWm9U4ISff0boN3OoszBNXdMLwNLSTkNnZKsrEPavrvX9DiQi49VtXc4YfO/WkF11oBr1bQqDdX19pPa9f65rVySwcP/kiibMAnkmXWdlis+lnrXW+E0raeztoGK8zVqpsV8NpHm4yKGIm53oNhVcZopPUNyVZVqhx39zkU+wZW4PLc36UsKYS52nUp/O+6qbzBkcJ3OOva2pr7OHYljIaDDODJEgAAAAAAgDx0lgAAAAAAAOTheSIAAAAAQHbwGg4ygCdLAAAAAAAA8tBFhqKInVvmVqqUtyzN69ypnrBDbyCidxeHhLlaYrefkGBZK3u0UvXJwthBqCE7utDEz5DzLHaZxdp3sdOAY4e5ehkBmuVGnWtq+iXKWm+GFRRqCWkWyYhW/8zW+dO/f3KJIaeKtQ+8oa/WdFa+qZVb6swyNRV6+woJc+2XM8JcrZ1i7QBrRwWElobkI1si5qcWZ8XO9PDWIaDue2sa12RL5HDYEDwwAKAtXB4AAAAAANlRUZGtnqyKilLXACXAazgAAAAAAAB56CwBAAAAAADIk6FnmwAAAAAAezxGw0EGcNQRTf6rhakEq8UOIAtJGg0RO/TVKGvKJUMRtxuhiK13QRq5b5Ez7qIfMm/9yhsih7l657UUuhO8G5ulMFdveKR331mNKvZ2eOvi3QdGnXsOSJbV1PTscFEhVTMDXr1t0bnifkYiacPg5EOyIdcfK/TVWp73FLWCVUOuZ955W++q/v2T01hhrj0bjDDXVauSZVaYq7VTLN6EW2O67XXJyWIHvHqPhf3dxLmSyJWJmpeaxo2+REIORRoraR3UC6C0OCMBAAAAAADyZKerFwAAAAAARsNBBvBkCQAAAAAAQB46SwAAAAAAAPJk6NkmAAAAAMAej9FwkAEcdRRFGiOSaHuJRt+whAzr447Y963XSlL3jhTgGQ3HksboRyGj5pSrqePKtcUczcQ5wol35BvvvMUeDcfaeSFit/cQaVwHSrVe5z7tM3hwq1XGfbjU3IRqo015L0jWdMZQNf379+uwbpL/euEd5MV7Ooaw6mcNJGONdNO6zBr5pnz9O8nCtWuTZdZOsYYNsniH7zE2zBzJLfLIN2ncqk0Bwx/VG+euZx+kMrJggJCRYEr2e6x3xDjn97UuOMAQ0K3xGg4AAAAAAEAe+iUBAAAAANnBaDjIAJ4sAQAAAAAAyENnCQAAAAAAQJ4MPduErq6Q0GpvYJoZ0BkSQJZCUJkpIDXOG3xWqozb1gIyat1BjD2rjHZRaJptZ3iXFxJkmUadPbwH0hsO661HGumZIWInQHr3i5U06j1hWpX1M1JBc7nkdca7Sot13Sq36hZwTpXX/SVRtn//mkSZtW1WWGpNclYzyzQkaNSbeWrVxSqzAl77VNXvXrDKCG71hrlajcAZYulun8bB8Abreqti8YboBoWHe6+PAWGurcuif5fyloXc/FOQSsZ45DBXS+t5K7vjb3SMhoMM4MkSAAAAAACAPHSWAAAAAAAA5OF5IgAAAABAdjAaDjKAJ0sAAAAAAADyZKi7Dt1dUB5iVlJLpbANsUK/cpWJspCc2pi7xVuPNMJczXw8K+nPWxa7XXiDW73BpaUIIQ5p27GD/kLWkUaZdRy9DdcbcOptt1YKppVI2no7jO2qrumXnM8QknHc07v91nZZrJUY29/PSO2srk5ef61dFxI0agkJeO1TbYR0WqGsq9Z3PI13Y73nnjct1dowY7rtRpVjX2q8Ya7mPShyZazvA9udh6PQakT/LpXCvSv2Lci7jjTE/t4FIAynGgAAAAAgOxgNBxnAazgAAAAAAAB56CwBAAAAAADIw/NEAAAAAIDs4DUcZABHHdF0NMJXUMDr9hKEXYZyblwa2bWFLi+NHE9vkF55Q32y0EpYDEliDLkRxg4Xjp1M59nR3nBGb928+zh2KG9IQ7PK3Bcqg7X/vNvrPQGdAaeJ5RnbWm6Fvlb3SZR5s1et6tY3JB9qrTTTMw3eduEMUq40tnf/mmRd+vc3gjedWc0W9zXO2tHL65Jl1vFuXWZNE3JtDAlzNcq2bk+2i5DqhVTZexmQ9xLvDHP1ZusWfPtK48uF91yOLHaGt1eT8yH9kF3P7+hA6fAaDgAAAAAAQB76KgEAAAAA2dHRI+tpq6godQ1QAjxZAgAAAAAAkIfOEgAAAAAAgDwZerYJXV1HodXeUK1yNflWGDsZNXagplFmBRt6A+xC8tZiih3m6g/5dYa5hiTkWWI/AppGCl2hAadW0qE3/dBi7WNred5QXm+iZhoBryHXkNjXrkJDX531tf6qYoW+Bl3LjLDLymrnORCyYmeZFXzbMzmn33pn+/Ze4zxl3mue97ywzuX+/X1lxrzb65KThYS5WmXeS5xV5v5uYuwrKwQ0JIvc0np77UDaFBLlLQGB9yGrCKhKkDRydLP0dkrRMBoOMoAnSwAAAAAAAPLQWQIAAAAAAJCH54kAAAAAANnBaDjIAJ4sAQAAAAAAyJOh7jp0dbECXqMHi8UWkC7XEDmH0JJGQFqhy/LmBlbmjCA9b+BnSDCopVThqyGhooUmGxrT1OeSMZbbnRm6UjK0s6rKKOufXEf59q2+lYQE9VpBjEbQqDuQtMZ5HC3e7Wgd0ir5UyFbT2cty9merL+0VEUOfW3IJddSVWW0Fev8CUnKtIRcgENCeUPafOv94m2L3gt1TU3BZVu3J4+t9/LmvVyG5NSaYa7O/R4S5uptAgXfq9MIc7VEfjoghTz+kuV1W7L0cAWwp+H0AwAAAABkB6PhIAN4DQcAAAAAACAPnSUAAAAAAAB5eJ4IAAAAAJAdjIaDDMhQC0R34g3LMkPUvNJIMg2Yzgp5i53z51XovSaNHFOrLHqYa0jAqzdN0BI7Nc7Lm2LYqswKc7UyQL1hhRZv9qwV5GlNF/I9ymwq7vBaqy7Jc77aCD2tHBD51msdJM+Fxdp53tBXQ7kxnXUcC82jbWs66yHZnNGWc85T2R3umUayo8WqdMg1rrWQZFQjzLXeCHouNKO2M9O5w8O9x8e6zxtBz2ncqjynZCoB+rG/JDgnC8k6L9Xv3gHNrLAVZGlgBKAL4zUcAAAAAACAPDxZAgAAAADIDkbDQQbwZAkAAAAAAEAeOksAAAAAAADy8DwRAAAAACA7GA0HGZChFoiuLv+alsoIA17eKPWQ5Rlij3zjH5HDN2/MlHjvstyjE2wO2Clp7DzvvO7hfwJ4d74xckXrUSqsgVC8ZbEHHLJHyPGVhQw45D1HLd5BSmpqkiO19BwwwLdAL8+QRTGH3mhDuTE6SpUxQpBVXUvISGH+QTqs0XWSo57IGOXFvAwYbdl9P4x9g/DwnlTGdPUNvlHgQlZrlZn3EXO4mYDGYpRZ2+YdLczb5gsdXMbdxmILGZYm7uGJPkJOGl9Doo6QAyAYr+EAAAAAAADkoa8SAAAAAJAdjIaDDODJEgAAAAAAgDx0lgAAAAAAAOTheaIiW7FihX7wgx9o9uzZWrFihfbee28NHz5cF110kb761a+qZ89k0F8hZs6cqfvvv1+LFi3Shg0bNGDAAJ144om69tprdeyxx0ZZR0fyn5Yzg8W80gggs0ROB4sdBJZCJm1iukLna6vMzDY1Q/icZWnsvICwQ3dKaUjinDFdk9EPboUJti7zhrl6liWFBQt7d501nTtLMIXz0aqz1ZT790/eC/pYoa8xeQNFrUYQwPorTbUz9NV7GfBm18YPh/VNV1XlC5G1y4z1OnKjQ54gN/dT5FBnMxi+od5Ybwqp6AHXVW+Ya+TqJctKtJ+ipsdnvyqEuRbTHvwaTlf6/fG9997TD37wA82aNUvLly9Xc3Ozhg0bpnHjxulrX/ua9t133yh1LZUMtcDuZ/bs2br88su1cePGlrKtW7dq4cKFWrhwoaZOnaonn3xSH/nIRwpex/bt23XhhRfqiSee2K38rbfe0ltvvaUZM2ZoypQpmjx5csHrAAAAAAAUV1f6/XHhwoU699xztWbNmt3KFy1apEWLFmnq1Kn61a9+paOPPrrgupYar+EUyR/+8AdddNFF2rhxo6qrq3Xbbbfpv/7rv/TMM8/ommuukSS99tprOuuss7TZO36c4aqrrmpp6KNHj9asWbNUW1uradOm6aCDDlJTU5NuueUWTZ06Ncp2AQAAAADi6kq/P65evVpjx47VmjVrlMvlNGnSJD333HN67rnnNGnSJOVyOb399ts6++yztXr16oLrWmo8WVIkEydO1NatW5XL5TRnzhwdd9xxLT879dRT9dGPflSTJk3S0qVLdffdd+uWW27p9Drmz5+vGTNmSJLGjh2r//iP/1BFRYUkaeTIkTrnnHN01FFHacWKFZo0aZIuuOAC1dTURNk+AAAAACiKiopsvYbz19+xiqkr/f74T//0T1q3bp0kacaMGbrwwgtbfnbiiSfq6KOP1kUXXaR169Zp8uTJuu+++zpd1yxI7cmS22+/PfGITne1cOFCzZs3T9IHPXf5DX2XG264QSNGjJAkff/739fOnTs7vZ4777xTklRRUaEf/ehHLQ19l/79++uOO+6QJG3YsEHTpk3r9DoAAAAAAMXTlX5/XLdunR566CFJ0umnn75bR8kuF154oU4//XRJ0gMPPNDSsdLVpNZdd/PNN+uWW27R6aefrquuukpnn322clnqLYxo1qxZLZ+vvPJKc5ry8nJdccUVuummm7RhwwbNmzdPY8aMca9j8+bNeuaZZyRJY8aM0eDBg83pzj//fPXp00ebNm3So48+qhtuuMG/IZ1Urqa/BbuGpFuFTOcVO/XLCniNnEcaOwjMswtCAtOsAL/oYX2xw1y9vBvsTCStb0j2W3t3i8UbeNn6CU5vcKuV9+nN5LVYu9NarxXmaq3DGx5pid3MQkJKG/onwz37xQx99aZOekNfA3aeN/TV4s2fjZ0b7ZVGUHaxr+chdavMGYHv5gUpIL03JHHZuXEhWeQh10LvdMmA1xJ9b4r8/Sr2+eMdgMAK9PVK46tJh8e7sTHuClF0Xen3x8cee0yNf21jbdVVksaPH6+nn35ajY2Neuyxx1peJepKUs0saWho0JNPPqnPfvazOvDAA3XjjTfqT3/6U5pVSMXzzz8vSerVq5eOOuqoNqc7+eSTWz6/8MILnVpHbW2tduzYkVhOa5WVlS1pxrW1tQX1QAIAAABAanaNhpOlf0XUlX5/3FXXjpYTUtesSK2zZPHixZo4caL69++v5uZmvfvuu/re976nI444Qscee6x++tOf6v3330+rOkW1ZMkSSdLw4cPbfXrmkEMOSczT2XW0Xk5762loaNAbb7zRqfWsWrWq3X97yqtVAAAAALBmzZoOf0fqrK70++Ou5eyzzz4a0M4TrwMHDlSfPn0KqmtWpPYezP/6X/9Ld999t+6880498cQTuv/++/XUU0+poaGhZSik/+//+//02c9+Vl/84hfb7aXKsu3bt2v9+vWS1OajTbv07dtXvXr10pYtW7Ry5cpOrSd/+o7WM2TIkN3mO/TQQ93ryZ8XAAAAAPZko0aN6nCa5uZm9/K62u+Pu5bT0TJ2LedPf/pTp+uaFakPHZzL5TRu3Dj96le/0qpVq3TnnXdqxIgRam5u1tatW/XQQw/p1FNP1fDhw/Wtb32ryw01lP90TLX1gn0rvXr1kqROD//UmfXsWkch6wEAAACANDW1pCFm51+xdLXfH3ctp5h1zYqSJqzuv//+uvHGG3XjjTeqtrZW9913nx555BFt3LhRf/7znzV58mR94xvf0JgxY3TVVVfpnHPO0V577VXKKndoe16KV2VlMpyvtb333luStG3btqKtZ9c6CllPR72Aa9as+VvvakPD3xKsQpIo00jSC1meUea9gJYqt7TQgLSALLyuGeYakmJolDUZAZXeENXYwZOe0MGQuoVsg3cXe7MerXu399Cm0fSCgkaN0Nf9vaGvngtBSOirJWDnlRvT9TGGL2wwApIt3irHvkx5xQ5WbV3mzaAOKauUcd23glu9F4yQi4j3BLfu6bnkebY9cpUtIW0gEaQb0kCLnTYs//em2MGtIWn5aXxd6aZjX3Q7tbW1GjhwYLTldbXfH3ctp5h1zYrMnJKjRo3SqFGj9P3vf1+//OUvNWnSJK1du1aNjY16+umn9fTTT2vffffVF7/4RV1//fVRG2hMVXk3jvp640tDK7tCdnr06FG09exaRyHr8TxeBQAAAAB7goEDB0b9Hamr/f5YVVWlrVu3FrWuWZH6azjtWb58ue644w7dcsstWrduncrKyiR98M5Xc3Oz1q9fr+985zsaPny47r777hLX1ta7d++Wz57HjbZs2SLJ9xhToevZtY5C1gMAAAAAadr1wHqW/hVLV/v9cddyilnXrCh5Z8m2bdv00EMP6VOf+pSGDx+uf/mXf9Hy5cvV3NysQw45RHfddZfWrVunuXPn6tJLL1Uul9O2bdv09a9/XQ899FCpq59QVVWl/v37S1KHScgbNmxoaUCdDVLN783saD35r9IQ2AoAAAAA2dDVfn/ctRzPqD+7ltNVfwctWWfJggUL9KUvfUkDBw7UF77wBc2bN09NTU3q0aOHxo8frxdeeEF/+tOf9L//9//Wfvvtp1NPPVUPP/ywXnvtNX3yk59Uc3Ozvve975Wq+u0aMWKEJGnZsmVqaKcbcunSpYl5vPITifOX0956crmchg8f3qn1AAAAAACKpyv9/rhrORs3btTatWvbXMaaNWu0adOmguqaFalmlqxZs0YPPPCA7r///pbxmncNq3TUUUfp6quv1mWXXbbbI0KtDR06VLfffrtOP/10vf7666nUu7NOOOEEPf/889qyZYteeeUVHXPMMeZ08+fPb/l8/PHHd2odI0eOVGVlperr6zV//nz94z/+ozldfX29Xnrppd3mKZk0AjpDhCSrGUI2LSQfN2QzPAGvZoiaN9EudhqelzcxLSTZ0Hi80Ho6sa7OVxY74NUzr/fwpJHTG7JdFm8OoXcdIWXxg2WN0NeYeVMhKb8hG+ZsaP3++te4fLmc729B1rlnVSX2pnl5MzULXZYlKMzV2qGxw1wt1sZZj3w7Ny4kxNobJGwJyVUtuKEVmgDfmbLIVTG/h0T+3pCl7HmX1ivN0vfrAjU2ZmszGhuLu/yu9PvjCSecoAcffLClPhdffHH0umZFak+WnHXWWfrQhz6km2++Wa+//rqam5u1zz776Ktf/ap+97vfaeHChZowYUK7HSW7DBs2TJK0devWYle7IOPGjWv5fP/995vTNDU16YEHHpAk1dTUaPTo0Z1aR+/evfWpT31KkjR37tw2H4N69NFHW3r0zjvvvE6tAwAAAABQXF3p98dzzjlH5eXl7dZVkqZPny5JKi8v1znnnNOpumZFap0lTz31lBobG9Xc3KyTTjpJDzzwgN5++239n//zf/Txj3+8U8vq2bOnTjrpJJ100klFqm2YUaNG6cQTT5QkTZs2TQsWLEhM893vfldLliyRJF1//fWJIZGnT5+usrIylZWVacqUKeZ6brzxRklSQ0ODrr32WjW26vJcv369/uEf/kHSByfU1VdfHbRdAAAAAIC4utLvjwMGDNDll18uSXr66af1y1/+MjHNL37xCz399NOSpM9//vMaMGBAm9ueZam9hrP//vvrC1/4gq6++mp99KMfDVrWoEGDNG/evDgVK5J77rlHxx9/vLZt26bTTjtNN998s0aPHq1t27Zp5syZ+slPfiJJOvjgg3XDDTcUtI5TTz1Vl1xyiWbOnKnHHntMY8aM0cSJEzVo0CAtXrxYt912m1asWCFJuv3229W3b99o2wcAAAAAxVDsEWg6K426dKXfH2+77Tb9+te/1rvvvqtLL71UL7/8ss4++2xJ0hNPPKHvfve7kqT99ttP3/zmNwuqaxak1lmyatUq5QLeY+xqPvnJT+qRRx7R5z73OW3atEk333xzYpqDDz5Ys2fPdr161Jb77rtPmzZt0pNPPqlnn31Wzz777G4/Ly8v1+TJkzVhwoSC1wEAAAAAKJ6u9PvjkCFD9Pjjj2vcuHFau3at7rjjDt1xxx27TTNgwADNmjVrt1F4uprUei/2pI6SXcaOHatFixbpnnvu0ezZs7Vq1SpVVlZq+PDhuvDCC3XdddepZ8+eQevo0aOHZs+erRkzZmj69On6wx/+oLq6Oh1wwAE68cQTdd111+m4446LtEUdyE9iSiOx0St2eJkhZshmZ+YNOa08oXHuMNeQgNeQnRISLheSpGeU1Rshm7EDXkOCAy2ePLgs/VXH2n7rkHn3k7cJRM4jNcXPOU6+ZesKfQ1ZaanSgI119LFCX/sn77exLyHWOR8iJFOz9WXKmUttllU2GBlx3jBXbzJqyHXfm+BsTNeUM67ddclZY1+TA6pst9FCAz5jJ/86G6j5/cKSxnfHgO96aXyHs6Zz7z90OV3p98djjjlGixcv1j333KNZs2Zp+fLlkj7IFz333HM1ceJE7bvvvkF1LbWy5l3D0QAFWLVqVcu42Stff12DDzzwgx+k0VlSqmEHrF+Uc8mLlvcX5ZBRFrxV9n4hbl1WmStRZ0nIsCwhvylbO6+mJllm/CJWX90vUbZ+fXJWqyzLnSWxD0XsfrCAAS8y1Vni3TZnc5T1avD+/Vudz1awmzUEYMgIJ5aQc89bZuyUrUpep72dl95z1Hs99wq4LSXaj7c9WWWZ7yzx3uSMdtFU3SdR5r1Ohxxv73Es+BiFnKOWkAtroUM4Sel0lljf6xqSHc4hTTn2d7ieVa2u560qt2r1ag356/CuK1eu7DJ/2c//vWLRopU68MDs1Hv16lU64oi//s7ThfYpwqQW8AoAAAAAANAV0FkCAAAAAACQZ88LEgEAAAAAZFZ+FGIWtBphF3sIOksQT/4YX6VKioydeJpC6Gvseb1cmxY7nCJ20IPF+250yHvvRpk3v6BUAa+FNuWQ189D8j+8y4stjXMvdr6pv867P0y6vxVsEiJ2qHNIiI4xb08j6KFqQDJryBvNYJ231nRpZJl6cg5Klk8SEuwRM+G2jbLYkSqWyFVuI+C1wIp4pwsJfvKKf9FLihzmmvVgdABheA0HAAAAAAAgD0+WAAAAAAAyI/+B9SzIUl2QHp4sAQAAAAAAyENnCQAAAAAAQB5ew0E8HQW8tjVPKYSEkhnTNTiDN7O0uZZyNe1eEDlgsVRBbbHT9ZpylYmykKzDNDIRPdl8IWGuIfmc3uWFZD2GlMUOoA05Dax2UXhdku04euirN73Y2gHekyCg8ZUb0/WzgmCrkvvKG+YaEtbsbaOeHGprGjPMNeQilUYyqifNto2yeqPNh9y+LCHBrd4M1cS9WkpWMPL3nNgh+KkkqDrr0mT87ThL39fsQN/u/04Io+EgC3iyBAAAAAAAIA+dJQAAAAAAAHnoLAEAAAAAAMhDZgkAAAAAIDMYOhhZwJMlAAAAAAAAeXiyBOmJ3SXrTVz3zhuS6m7Ieg+0K109ZGiH2CMixU72DxhRIfZgEbF3qXcEm9a7xbtLQk692AMgxL4MWEIGY7COY8h6LVY786zDPqWSo4X0S2OEnJBG4B0iyOIcNaenNULOgD6uqoSMthJzIK9K1fsqF3uUG2+D9w4P47xOW2XbAwZYCrkFhYyGY17PY14MU/g+FDRcWuzRlKwRDSPfl9IYzU2t19F6pVn/Egp0EXSWAAAAAAAyg6GDkQW8hgMAAAAAAJCHzhIAAAAAAIA8vIYDAAAAAMgMRsNBFtBZgnjyXy4MSUS0lCrM1ShrMh7IytIFNCTz1BUQlvWEzkLTDyUzELBeycDL2MGt3jJLzIxbI8PSLPOGvlplaTSpkGzhUjVl7/GOGfq6fn3H03xQljwH+vTvX3jlLFaFYx9cbxCs80Baj+b2Ma4rVVXJ/Reyad5zrTLXtHvB5sghrSEXn8jXaWu6+obC79Wl2jRvOLerMgEbYX3PsZSrKVkYO8w19kEzxL63WGJn5iYqU+jxB9AuXsMBAAAAAADIQ7cjAAAAACAzGA0HWcCTJQAAAAAAAHnoLAEAAAAAAMjDazgojlI9Nxc5zNUqS2PTvMGYQWGulkIDXr1BbV4hqXnWdM5AwKaqnomyzXXJWb2BrGmExlm8u6r1brEyO62yfjVGqJ83oFNGWVXhiYhWiKP3WMQO4I19PnpDXy2e7bUOWV1dssw8HQckz5WeAwb4Kuc9v0OSj728DcNqj866VFZbB7wEf6uKfV0tVTi383reEBCSHRK0msbuKzSU1XtJdq7SL+S7hFfIBTiFe3DIvGaQ7h6A0XCQBTxZAgAAAAAAkIfOEgAAAAAAgDy8hgMAAAAAyAxew0EW8GQJAAAAAABAHp4sQXq8XbJBKWJOzrQ1KzAtJKAzduhXCNfyQhJKYwe8eqcLCXM1Ai+9ZSGhrxbvLvDmH9bUJMtah7da+Zx9tClZuGxtssxKBnWHvhqcAa+VxsZaZeYOGJCcbuv25Dkf0i68vLsl5FTz5Ddb22AdCjMItn/ynKq0EoItVoP3nmje9OuQMFOvyBfqsL9k7t6Wc8Y1r9y7T0p13XceH+teHZLtHiJkHd5wd+tvnZ5dH/v+U2lNF5KSHbuCkb/XpZFbn8ZXYAB+nJIAAAAAgMxobMzWqy+NjaWuAUqB13AAAAAAAADy0FkCAAAAAACQh9dwAAAAAACZwWg4yAI6S5A93rA+S0Baljf0KzbvpoVkGLoVmhCXRuptQGBjdwlz9ebZWlmmZr5pq0BXM8x1+XJf2Vpn6Kt3R4Uk13rSbNso62nM29OYrqrKFygZm7X7vAqtn7e9W+dKvxrjmIWcGLFPNGeQsDc42iqzQoO9mxEzUNK+hFYmyqqqkmU5Y1PL1ZQsLNG9wKpLLpfc79ZhLJXY+ekxv6+4v1uksRGRvyN02zBXzwkPoNN4DQcAAAAAACAP3Y4AAAAAgMxgNBxkAU+WAAAAAAAA5KGzBAAAAAAAIA+v4SCe/Njq2CFvJQp9LUWwWltCsroKnjdkY2NPZ3EeW28YZezQV4s3Y9I7b6FhrpLUr7p+94Kly5MTLVvmK1u1Kllmhb56d15IwKu1sVbZ4MG+6Yz69bGmq0kGY6YR2Bg7P7PQdVpl9Q3Jv8lUeo+txXt/8M4bEPBqBUd7rzWxQ6I9QjbfntcKObbCYZNl7nBYi/NiG/2vgQHfOawAeUtI8K9n94WEjJrHzFvh2I07IEG1ITtVCQt9bT1hlt5XiYTRcJAFPFkCAAAAAACQh84SAAAAAACAPLyGAwAAAADIDEbDQRbwZAkAAAAAAEAenixB9oSEuTpZYWtdMXQxKBwsplIl3FpBekbA4Oa65Kwhwa0hIXyWkODF/v2TZd58Uy1vFcq6fHlyGivMdelS33RW6Ov69cky746yQkCtHWAFt1pldXXJMqsROOvXx1jH9u3Ja423TcU+v1vPGz1wsNCKtFVmNXjvjvKu1xs2a0wXcg3xNjNvcLTFc7y91y1vCLU3HDZ68nHse1DkhE7vsY0Z8Bo9A99bkZCNiFxp73c9r5KFuXq0XlhFRcSFA3suOksAAAAAAJnBaDjIAl7DAQAAAAAAyENnCQAAAAAAQB5ewwEAAAAAZAaj4SALeLIEAAAAAAAgD0+WoLRSGPnGK2SUmzSC+L3TecvK1dS5SnVW7GGDLM5RB7yB/SGjW4SMfGOVWQNyeAeDsUa+KV/7drKw9eg3IaPhGGU7NmxIlBm7U/VGmaVy27ZEWc93302U9bBG4Rk6NFnmPbgW58gq1dX7u1Ybci57L6MxR8PxjnpiXsu2pzDCSeQhKuobfKNqeEc4KcUoW94RbTzL6gzzXpPG8DBe3gZuMaazRmApVRtoLWiUls0ZOj4BoxCVaGCedEYVK+oKgT0TZxIAAAAAIDMYDQdZwGs4AAAAAAAAeegsAQAAAAAAyMNrOAAAAACAzOA1HGQBnSWIJ5crXqBUiUJA07gwhgQ2dlsBOz6N0EVvBqjFmyXoDXO1yno2bEoWrl2bLGsdhOoNeDXKthhhrn9JzqmNRtlOo8yKH7ZOgZ5GWc377yfK+i9enCgr87Yz7wGqqUkU9TQOUFVV8qFO7/kdkpscM+DV247LG4z43thplxZvBd1pj5W+9RpC7jel+HIeuw2407RjtwFLyInmTDVOI+TXUuj57T5vYzfa2Bcg67teQF53ocHZbZWFsEKDizEPgCTOJAAAAAAAgDx70t+qAQAAAAAZ19iYrVdfGhtLXQOUAk+WAAAAAAAA5KGzBAAAAAAAIA+v4SB7vKlaKTybV6oQPm84WEnCxrKUNBs5vDeN422F6QXkh6pfjRGFuswR5mqVeaaRtOPddxNlVpirVVZnlFkZfFbo615GmRXwai3POmQDlixJlJVZ7dt7MKy03QEDEkVVVX0SZd5LXEh7bD1d7BxGM9xzc0bSLjvDmLeyJrlxuVzy700hGbKWkDDp1nXxXntCrlHl27cmC60w15CAV68UbqT1Dck2kEZ4uGfTvOeouSzveRv7fAyodOxA0xTyZ4N0tOuz9PpKoRgNB1nAkyUAAAAAAAB56CwBAAAAAADIk6Hn6QEAAAAAezpGw0EW8GQJAAAAAABAHp4swR4pjXDPkN7w2Ll0malIhv5EYFUldgifGXhp8GbaWYGKWr/eV7bWCH1tXeYMeDWiGbXRKKtzlhmRkGYgq9UavfNarOXtt3x5stAIadXgwckya7/X1SXXW5MMePXytluPkFBZN2+FvYGfsdOVzZPKYOysPua8hf8NKvb1vPW83s335hkHhblaZSE34ZCUTWeibVNVMk56e0BObUh2raX1pnk3v7yhPlmYRpK9N0nYuSElyn6Oft7G+o7JUxBAHHSWAAAAAAAyg9FwkAW8hgMAAAAAAJCHzhIAAAAAALqxrVu36jvf+Y5GjRqlfv36qbq6WiNGjNCNN96oFStWBC+/oaFBv/nNb/T1r39dJ554ovbbbz/ttddeqqmp0ZFHHqkbb7xRb775ZofLGT9+vMrKylz/lluvT0fEazgAAAAAgMxgNJy43nzzTZ111ll67bXXditfunSpli5dqqlTp2rGjBn6zGc+U9Dy3333XY0YMULvvfde4mcbN27U7373O/3ud7/Tv/3bv+nOO+/U9ddfX9B60kZnCYojdrhn7PTVyNJYbUiwmBk2Vop9FTv1LPI2lCrkNyzg1UgYNEJFXUGwxjQ7t21LlFkBr8mp7PBVq8xanrXrrEchjWhCk9XyrPzd6vffT5T1sIJvrcBca78bQZZVRl6s99QICXj1tEer3aUS+hqSuBx7vQEbV11deHiv9zrgrV7reb15mtZ1xgwB9Qa3eoN6MxTmapWFBLfGvt16Ns27qdoe+QSP/WXFHSDfcdXaEhLSGjVUX/G+X2SpkwGlt3nzZp199tktHSXXXHONLrnkEvXo0UPPPvusvv3tb2vjxo268MILtWDBAh1xxBGdXseOHTtaOko+8YlP6Nxzz9UxxxyjAw44QBs3btRTTz2lf/u3f9P27ds1ceJE9ejRQ1/60pfaXeagQYP09NNPtzvNgQce2Om6dgadJQAAAAAAdEN33XWXli5dKkm688479fWvf73lZ8cdd5xGjx6tk046SVu3btXEiRP1n//5n51eR1lZmcaMGaN/+Zd/0bHHHpv4+ejRo/XZz35Wo0eP1rZt2zRp0iRdeuml6t27d5vL3GuvvXTYYYd1ui4xkVkCAAAAAMiMXaPhZOlfV7Rz507dc889kqQRI0bohhtuSExz3HHH6aqrrpIkPfvss3rllVc6vZ4DDzxQc+bMMTtKdjnmmGP01a9+VdIHr+bMnTu30+tJG50lAAAAAAB0M/PmzVPdX18T/sIXvqDycvvX//Hjx7d8fvTRR4tWn9GjR7d89oS9lhqdJUVU7MThefPmuZOCp0yZEr5BAAAAAIAu4fnnn2/5fPLJJ7c53dFHH61evXpJkl544YWi1WfHjh0tn9vquMkSMkuKpNiJw5lUURE/6SoG47m5XK6y0FmD8gBj756gALJCHycMCmAr/jOMaYSthQSwhbQVd8iiM2g0MZ0xnxWnaYWq7jDKrOm884aEzltntzds1irrYYXjWvvYud8rc02Jslwu+YUhJAfVmq51uKPVxqxm4g0BtdZZmUaoc+zEZYvzGmd97fOGvnovmYVeQ7zH0Wqf2hw5pNUrheBWq6zeuIqEhLmGXPcL3VxrGvMeksaXGu9GOHdAk/NvvaUKafWKeTnL4tfvUFl79SW/LmvWrOlw+sGDBxexNn5Llixp+XzIIYe0OV0ul9NBBx2kRYsW7TZPbPPnz3fVR5Lee+89nXjiiVq8eLG2bdumfv366YgjjtDYsWP1xS9+UT179ixaPXfphqdW6aWRONzafffdp5EjR7b58/333z94HQAAAACwJxs1alSH0zQ3N6dQk46tXLlSktSrVy/V1NS0O+2QIUO0aNEivfvuu9qxY4f23nvvqHVZs2aN7r//fklS//79d3slx7J58+bdnnJZu3at1q5dqzlz5uj222/Xz3/+c/3d3/1d1Dq2RmdJEaSRONzasGHDSp4WDAAAAADIhvfff1+SVG09StjKrtdwpA86KmJ2ljQ3N+vLX/5yS30mT56sHj16mNOWlZXp2GOP1dixY3XkkUfqgAMO0Pbt27V48WJNmzZNtbW1Wr16tU477TQ9//zz+uQnPxmtnq3RWRJZZxKH77333pbE4aOOOirtqgIAAABA5jQ2Zus1nMa894Nra2s1cODA0lWmE7b/9X3BysqOIwjyO0e2bdsWtR7f+ta39Nhjj0n6IOT1uuuua3Pa733ve+ZTMMcdd5yuueYa/fM//7O+9a1vacuWLbr66qv18ssvq6ysLGp9d8l+qkoXk7XEYQAAAABAHAMHDtTgwYPb/ddZDQ0N7oE72vs3ffr03ZZb9dd8oPp6KzVud/nhq2099VGIhx9+WJMnT5YkDR06VDNmzGg33LW914XKysp022236dOf/rQk6be//a3+67/+K1pdW+PJksg6mzi8ZcuWoiYOl0yW0rIyxKpe7AAy96737KuQlaaRrGbu0LirCKlKKs0xJAW0dZqnMY21CVaZFchqxESaZRZrOuu2ak1n1W+nczrzq4SVeuotc6ZC5nLJkLKQwE+rzKqeZ53Wk7ue5iRJ/ariBju6eU8+a0Os9XrTPa3QV2N7q6vjhoxbPAGvdvh3Cgml3nm903nTa42ypqrkubfdaMtZykH1lJnr3O7ciJBzLyQEPqD9lCrMNXbge8a/xqIL6t27t6QPXqvpyJYtW1o+e17b8Zg9e7auvPJKNTc364ADDtBvfvMbDRgwIHi5EyZM0Ny5cyV9EBp7/PHHBy/TQmdJZKVKHL755pu1YsUKvfPOO+rVq5eGDh2qU045RV/5yld08MEHF7zcVatWtftzTxo0AAAAAHhleTScYsjlclF+J2z9etDgwYP13//939qyZYvq6urafWpjVxjsfvvtFyWvZN68ebrgggu0c+dO9e3bV3PmzNHw4cODlytJhx56aMvn1atXR1mmhc6SyEqVOLxgwYKWz3V1dfr973+v3//+9/rBD36gyZMn6xvf+EZB73INGTKk4DoBAAAAADrW0VC6hTj00EP17//+75KkpUuX6thjjzWna2ho0Jtvvinpg9zNULW1tRo7dqy2b9+u6upqPfXUU1FGgN0lrdGG6CyJLO3E4YEDB+r888/XCSecoI985CPK5XJasWKFHn/8cT344IPauXOnbr31VtXX1+tb3/pWp5cPAAAAAOh6TjjhhJbP8+fPb7Oz5OWXX255DSf0lZZFixbpjDPO0ObNm1VVVaXHH39cxxxzTNAyW3v11VdbPg8aNCjqsvPRWRJZmonDI0eO1FtvvaW99tprt/IjjzxS48aN04QJE3Taaadp48aNuv3223XRRRfpE5/4RKfWsetJmbasWbPGNdY4AAAAAHhkeTScruSUU07RPvvso40bN+pnP/uZJk2aZL5tkB8Me9555xW8vtdff12nnXaaNmzYoL322kv//u//rlNOOaXg5bXl3nvvbfncXk5oqD22s6ShoSHRyVCI+++/f7eRbdJMHM5/MsUyatQo/fCHP9TnPvc5NTc364c//KF++tOfdmodnUpzzuXaT87yphVaQlKwzPAyX7he7KrEDhbzZqGVe2M1ix36moIUcuSCmp6VCRk95K3QBRrTeANZrfBVq8zaxSFvxVrLs8qsq33QcHDewM/IAa8x26i3uiFZtk01ye2yAk/dKZbek8qSpWRH4x4UcosstBpWWaU3ZdSa2ZrOWxmL9yQIaFMhwZtp5KB6N631vO77viVLAa+GoG0L0OS8a4S0qULP+VKNq4Dsq6ys1Ne+9jX967/+q5YsWaK77rpLX//613ebZsGCBZo2bZqkDzoeRo4cmVjO8uXLNWzYsJZp5s2bl5hmxYoV+vSnP61169apoqJCM2bM0Gc+85lO1fell17Shz/84TaHZm5ubtbkyZP1zDPPSJI+/vGPFy3cVdqDO0uKpdSJw61dfPHFuvbaa7Vx40bNnz+/KOsAAAAAAGTP17/+dT3yyCN6/fXXNWnSJC1btkyXXHKJevTooWeffVbf+ta31NDQoB49euj73/9+Qet477339OlPf7rlrYQbbrhBhxxyiP74xz+2OU/fvn114IEH7lb261//WrfffrvOOOMMjRkzRoceeqhqamq0Y8cOLVq0SNOmTVNtba0kqWfPnvrpT39aUC6n1x7bWdIdE4ctuVxOBx98sBYuXFjUpGAAAAAAiGFPGw2nmHr37q3Zs2frM5/5jN544w395Cc/0U9+8pPdpunTp48efvjhTkc27LJ48WK98cYbLf+/8847deedd7Y7zxe+8IXdXv/ZZceOHfrVr36lX/3qV23O+6EPfUgzZswwn4KJaY/tLJG6V+Jwe9JKCwYAAAAAZMvw4cP1u9/9Tj/84Q/1i1/8QsuWLVN9fb2GDBmiz3zmM7r++uv14Q9/uNTV1JVXXqkDDjhACxYs0KJFi/TOO+/ovffeUy6XU//+/XXkkUdq7Nixuuyyy1riL4ppj+4sKYZSJA63p6GhQa+//rqk4iYFAwAAAACyqVevXpo0aZImTZrU6XmHDh3a7h/gTznllCh/oP/whz+sr3zlK/rKV74SvKwYgvLtkLQrcViSfvazn7XZaGIlDndk5syZ2rRpk6TiJgUDAAAAQAy7RsPJyr+uOhoOwvBkSWRpJQ5v2LBBf/jDH9odiqm2tlZ///d/L0kqKyvTl7/85YAt66SQEVNCXgp0zluq1PBSjZpjivnyZchxDBnewyiLHcTvLfMOyOEdzMMcWcQYQcM9sohnQ4z5csaw5tYRs8aXsh6O9LY6ax1W77613uT4K3ZdrBFyzHGyvENUBLTlkJFvCr1ehIzO4B01x5qupxVobs3sHYHF4h26JPLIKt51lGK0DIt53apKnmmV3kedrQXGvj8EHEdrNJM07suRN8M3b+wNK9V0pQqKCDjgaZzfjH4DpINTrQjSSBzeuHGjRo8erSOOOELjxo3TUUcdpYEDB6qiokIrVqzQ448/rgcffFA7d+6UJN144406+uijI24lAAAAAADdE50lRZBG4vAuixYt0qJFi9r8eUVFhSZPnqxbbrklaD0AAAAAkAZGw0EW0FlSJMVOHB40aJB+8YtfaMGCBaqtrdXq1au1fv16bd++Xfvss48+9rGP6ZRTTtHVV1+toUOHxtswAAAAAAC6OTpLiqiYicOVlZW64IILdMEFF4RUEQAAAAAAtEJnCdITO8zVKyD0NSRAy5svGJu5jmKHucbeeQHBb+VqMhaXDPULyWsMERLwamVg9rHCMgstM6ap2rAhUdYjuSQzVLXeKLNYuzh5FMMCXmuMsn2MMmMvSf37GxMaUwYEflr7IGrYo3P5lpBMVTvg1VixtT9Dkg5LFfBqbEe90Uq9YbgxA169m2oyQl9zVckzrdx7LGInWwZcqGOHK4fc+6PeXoudEF0MhLm6ta5yR//vinaNhpMVjIazZ2LoYAAAAAAAgDx0lgAAAAAAAOTpBg9pAQAAAAC6C0bDQRbwZAkAAAAAAEAenixBPLlc5xOlQhIGA8qsENCQvsOQAETvdKn0aLdeScz0sbQYda6qSgYseoMyQwI1Y4e5mgGvNTXJQqvMCiltXWZMs/fatYmy3jt3JsqSJTYrkNUKgrXO0AqjbG+jzAqgtcJc+1nL69s3WTh4cLJswIBkmbXfreBSo7E0GG3AEpJRWuh80U/lkBRLdyJpwHq94b3G8faGuZYi4NXahJBbq515m9z+LP1VLiQAPPZ9vtjh4dZ2KWcdH+tqG7EinZmuVDvZOV3sMNeYm9F6mgrrhgmg0+gsAQAAAABkBq/hIAuy1OEPAAAAAABQcnSWAAAAAAAA5OE1HAAAAABAZjQ2ZuvVl8bGUtcApUBnCYojJAHTu7wQxnpzRvCZdzOcq3CLPa8VqpmpO1ChnIlp3mNrBxb6ykIC3bwBr+vXJ8v69++TKKu0wketstbBpdYKjIr0eeON5HSGvYwyK57T2xKtU89q20Y8p1m29377JQuHD/eVRQ59bahLTmaJmXnqbdvevNPo4bCxQ19DTnpjJ4SEuaYR8Np6c70hrZ5ltbU88/4Tcu+3hISAGnUpN8qsOpuBqc7VhkxX6LzOzZf3IXNrXnc4bBopqF7Oi1KTsV+89+/Ym+G5FHb0fwCF4TUcAAAAAACAPPQ7AgAAAAAyg9FwkAU8WQIAAAAAAJCHzhIAAAAAAIA8vIaD0ood/GYJCAH1ytBmFF/slLKQ6SxG/aoCAiq9ZVbIm3czvAGvdXXJMiuTdZAVNDp0aMcLtFZq7M+y5FTaZ/nyRFnVzp2JMmNTzYBXqyff2p1WPuVePXokC61AVqvMG/BqlVn72DgWf6lLbp1z15u8uaWtp/OGuVplztxaO0A0K4mIbZU5T/rtzpDWkLKY1/g0Ah/NdcQO9/Qnl/qmc5ZZQbDWdFYQbOzQV8903u8lIUH2pjSOtyVyG4gd5hqy7z1lrcN23eG7GcZoOMgCniwBAAAAAADIQ2cJAAAAAABAHl7DAQAAAABkBqPhIAt4sgQAAAAAACAPT5agOLwJVd7EqxTSUnOOQMS2yiJXJXpZ5Z50phs7wAo6q6pK9hVbAZVW8KY39DXkmHkDXteuTZZVD++TKOtjhZm2XklIkJ6x8/Y20mf3tjbMm45r7WQrabR//2SZN+DVCmkNKNuk5LGwQnmtY+sNfS00t9S7O70Br1ZZZcPWZKG1Yd52UaLQ1ybn35YyE8QdICQH1wyVDEmzjR34GbJx3nUY0sg39cwXPWPdW+HYoc4hX8Sc53caTdRScLNtvdKuduEBMmpP+hUKAAAAAJBxjIaDLOA1HAAAAAAAgDx0lgAAAAAAAOThNRwAAAAAQGYwGg6ygM4SlFap0lINVjBdLpd8+CokM857oY0eIpZGUm0pBOyoqqpKoyw5a0joa0hAnDWvtV4rLNSqy/DhgxJllcMdDcgZ5mqGqlqV86aWWrxJo1ZdBgxIloWEvhrT/WVzsk1ZAbze3RKSb+rJrLR2Z/QwV29yrTcE1Cty4rIZXGo8nBtyqY2cWZko817fvAHWlTljn4Qc2zQCfb3Brc501JBg0NiZp63FbnfmORB7w0JSaS3OE7LYx6ITVSm8bHuryhGwAUTBazgAAAAAAAB5usGflgEAAAAA3QWv4SALeLIEAAAAAAAgD50lAAAAAAAAeXgNBwAAAACQGY2N2Xr1hczcPROdJUhPyPAwsTljznO55OgWsQeWiT1CjpXqXlWVfIisvDuMhuPlPLbeUSCsESSs/W5NZ/Em8VsDTYSk6Q8d+qHd/l/pHfnGOwJNyGg43pEsvCPzeEfDMaZrGpAcScga5cYqswaDscqKPfKNNZ13d1pllapPFlrH1lsWMhpOCqNlWDvLGlHLqrL3+ISMvuFZR8j1rWeVc+SbkGMb+/tAyHAwzoMWcl9OY/AfzzTu7zQhGxEyspWX85hZIxiFDNZTqhFy7BG6AMTGazgAAAAAAAB59qA/LQMAAAAAso7RcJAFPFkCAAAAAACQh84SAAAAAACAPLyGg9KKnYzqXZ4zpSskwC92nm3sADIzzLM7hL46d0ClEVhoBeGGBLzGDoiz1mGFhXq1Xu/gwckg0z6HOANevemm3gBIb/u06uINoDXCXLfm+iTK1i5PzhoS5urNuLV4w0I984YEfqouIMzV2wZCdoqXd4ca9ctV+0KiY4d4F5pH6j3eqYS5xg78LPQkaKvMWF59Q/L+YG2G9/yOvQtab0ZQeGiDEeAccmxjn8uFplor7F7tFbLv3V/NWlewo/93QYyGgyzgyRIAAAAAAIA8dJYAAAAAAADk6QbP3AMAAAAAuouGBqmiotS1+JssvRKE9PBkCQAAAAAAQB6eLEHXFRLm6kxfLVcy6C6XS/YxhoR0hQSLeee1As0qqx0VjB34GrtbPnLqrRXo6w1ztaYLqZ43/C8k9LX1eq1lDRiQDDztPzRZVmmEpQYFvFqs9mjteKvMCHj9S13yXF5vBLeuX+8ri725Fm+OZaHMsEfjOuhutLGTqb1SuLB67w/eYxY7UNIT8GqGuYYEeYaEe3oFhLR6y5pyRrh75KzikN3iyTL17pLKnBXom0JiuVdAmKsVyht7M9IIczWvwQBSQWcJAAAAACAzGA0HWcBrOAAAAAAAAHnoLAEAAAAAAMjDazgAAAAAgMxoaJDKM/Rn/Sy9EoT00FmCrsGbjBqbsY6cEfzmDemyhGyaN2PRykJrMh4sK289obWwUh0LS+TwyJwR8Grtu9hhrl6xQ189Aa9WgKEVbtq/fzL0tbrGKBucnLe8oT5Z6GQFMVp13mwEt1r7xBvcGhLmGhIcGKLg/ObYYamlkkJgdez7g5cnt9QMmg0J6g0RcoOMHeZa1TNRFju4NXZ4r6fMmYFauvDekONozGvdCxoCjpn3q05IE416bSh2QD+wh8pQfx0AAAAAAEDp0e0IAAAAAMgMRsNBFvBkCQAAAAAAQB46SwAAAAAAAPLwGg6yJ3aAqDfkyrkOK6TLm4MaO8zVW+bNauvpCQhLY8NCBOyUcmM7qlIIfQ0REvrqCXj1hr5agafWPrHz+3yhmJaQ9m4GwUYOdgwRO9uy0NM7SEiQp3e6yIGf7mDQgEDJEJnObQypXMj9xnlRtsJcQ/JN08g8LbR5W9OYYdppXOBCjq1zB2Q5bLczZfibhgaprKzUtfibLL0ShPTwZAkAAAAAAEAeOksAAAAAAADy8AAYAAAAACAzeA0HWcCTJQAAAAAAAHl4sgRdV0gyltU97AwptUNAk/2OscPG0gh4rarZPbCw3EqISyPZ0rs8b7CsN4HXmK6yOjlddbXveHtDX2MrNK/Pu+usENTYeZqxT++Q88IbotvVMkq98wWdj94NCzkxvBviTxx2lZUqBNTLc35Xxg5VDbk/pHBieK8DsTfDy3st9Gxu5sNcQ8KVjb/1pnF8vMsrScBr64VVVERcOLDnorMEAAAAAJAZjY3Zeg2nsbHUNUAp8BoOAAAAAABAHjpLAAAAAAAA8vAaDgAAAAAgM7I2+kzW6oN00FmCPZM3VcsZfJbLVRplvtV6M0otxQ597WmFrXnDUkM2zOLdCG/oYEDoa1VVz0SZlR1ZKs7NSJSFtB1vfl9I9p8ljSBY73pD6hySf2i1vZqajsus+SpzTcnC7ZHDHkMCXr2NyhvmakzXZJzfVqhxSJhr7PxMzy61c82TDxibwd6W2CnmISeGMV19Q3LbQsJ20wgGDQl4TZy71nkbu+F5p4tcFvuX1pBNC5kuSEcrSaUSQPfHazgAAAAAAHRjW7du1Xe+8x2NGjVK/fr1U3V1tUaMGKEbb7xRK1asCF7+vHnzVFZW5vo3ZcqUDpfX0NCge++9VyeddJL2228/9ejRQ8OHD9eXv/xlvfrqq8H19aDbEQAAAACQGVkbfSZr9emsN998U2eddZZee+213cqXLl2qpUuXaurUqZoxY4Y+85nPlKiGu3vvvfd01lln6b//+793K3/zzTf15ptvavr06frRj36kL37xi0WtB50lAAAAAAB0Q5s3b9bZZ5/d0lFyzTXX6JJLLlGPHj307LPP6tvf/rY2btyoCy+8UAsWLNARRxwRvM777rtPI0eObPPn+++/f5s/a2xs1Pnnn9/SUXL++efrmmuuUb9+/fTf//3f+uY3v6l33nlHX/rSl3TggQfq9NNPD65vW+gsAQAAAACgG7rrrru0dOlSSdKdd96pr3/96y0/O+644zR69GiddNJJ2rp1qyZOnKj//M//DF7nsGHDdNhhhxU074MPPqjnnntOkvTVr35VP/zhD1t+NmrUKJ155pk66qijtGnTJv393/+9Xn31VeWKlNNDZwmwi51+55o1JLssJOuw2AGvVTXJ4Foz/C8kBTR26GvsnWIoN7ajujq5r0KEtCkrjNLTlGPvzti5jiFl3vV6pwuZNyTE0cotLbTMDCWOnWRqiX3BDEjCrVfyvN1u7II0douXN3e7Ne/ltzKkwXtXHDKvO1C88FUEfB1wryNynq0v0dcrjY11blhT5HjFNJpyyBgC1ryF7IPY+60UGhqk5uZS1+JvuuprODt37tQ999wjSRoxYoRuuOGGxDTHHXecrrrqKt1777169tln9corr+ioo45Ku6otvvOd70iS+vbt2/I53/Dhw3XTTTfppptu0htvvKFf/epX+uxnP1uUunT9MwkAAAAAAOxm3rx5qqurkyR94QtfUHm5/ev/+PHjWz4/+uijKdTM9sYbb7SEt1588cXq2TM5Qp2UXn3pLAEAAAAAoJt5/vnnWz6ffPLJbU539NFHq1evXpKkF154oej1aou3vgMGDNDBBx8sqbj15TUcAAAAAEBmNDZm6zWcpqa/fV6zZk2H0w8ePLiItfFbsmRJy+dDDjmkzelyuZwOOuggLVq0aLd5CnXzzTdrxYoVeuedd9SrVy8NHTpUp5xyir7yla+0dHKE1HfXz19//XWtXLlSW7ZsaensiYnOEgAAAAAAHEaNGtXhNM0Z6elZuXKlJKlXr16qqalpd9ohQ4Zo0aJFevfdd7Vjxw7tvffeBa93wYIFLZ/r6ur0+9//Xr///e/1gx/8QJMnT9Y3vvENlZWVtVlfqeMOpyFDhkj6YF+vWrVKH/vYxwqub1voLAEAAAAAoJt5//33JUnVZqr77vKfzNi8eXNBnSUDBw7U+eefrxNOOEEf+chHlMvltGLFCj3++ON68MEHtXPnTt16662qr6/Xt771rTbr66lz6/oWA50lyJ7YQweEcA7xYY2OksslI4G8A8nEHv2q0MFgrOtOH+vCZS0sZGO9FfbO6xzlxs1Yb7k5+EbhI+TEHg3GM0JOyOgeIaPhWLyHO2TgBUupBmoJGNDFLLPmrVT97gV1AUO8xB72pUQj31jnReyRb2LvlkKX57+sJu9d1j0uaMWWIg37WMgqYt+rY1/Py9WULCxUqYb5iTzqUgrNJxWxvgJn6at0oRoapDaySEsi/zWc2tpaDRw4sHSV6YTtf71ZVVZ2/J00v3Nk27ZtnV7XyJEj9dZbb2mvvfbarfzII4/UuHHjNGHCBJ122mnauHGjbr/9dl100UX6xCc+YdbXU+fQ+npkqAkCAAAAAJBdAwcO1ODBg9v911kNDQ0qKysL/jd9+vTdllv1197f+vp6Y62727FjR8vnHj16dHobevXqlegoyTdq1Cj98Ic/lPTBqzO7Pueryuut7qjOofX1oLOkCDZv3qznnntOd911ly666CINGzaspQEPHTq0KOtcsGCBPv/5z2vo0KGqqqrSwIEDdcYZZ2jmzJlFWR8AAAAAILt69+4tyfeaypYtW1o+e17bKcTFF1+sffbZR5I0f/78xM931VfquM5p1LebPLSWLWPHjtW8efNSW9+//Mu/6NZbb1VT3vNha9eu1dq1a/X0009rxowZ+vnPf75bTx0AAAAAZFFj4+6vvpRasfNac7lclFFoWr8eNHjwYP33f/+3tmzZorq6unZDXneFq+63335B4a7tyeVyOvjgg7Vw4UKtXr068fP8p3JWrVql/v37t7msXfUtKysr2uhDdJYUQX76cd++fXX00UdrwYIFRQmemTp1qr7xjW9Ikg466CDdfPPNOvzww/X222/rnnvu0bPPPqvHH39cV199tR566KHo6wcAAAAAhOloqNxCHHroofr3f/93SdLSpUt17LHHmtM1NDTozTfflCSNGDEiej3ytTdS0KGHHtryeenSpYlMk3xLly6V9MGoOMUYNliis6QoLrvsMn3pS1/SqFGjNHz4cEnS0KFDo3eW1NXV6etf/7ok6UMf+pBeeuml3Xrfzj77bJ133nl6/PHH9fDDD+tLX/qSTjrppKh12E1Fxd8StrpDslRnGNtbVZUMJfIGxFkPAYXkKXozT1vXxa5b8u29Sm/oYuxk0JB2Fjv01eANfS00kLWtMu/haL2OkGzP2O2zVGF9IfvTG7QaMp1VVt5gvNPrSSnNUmpp5GTdplzyPNseOc82dsatxRvwGvPBUXd4aKlSnZ3rqDQvIoW/fR4StluSzNPYwa1pzGuw2qMVQlwqsU8Dr+4SaIviO+GEE1o+z58/v83OkpdffrnltZbjjz++aPVpaGjQ66+/LkkaNGhQ4uet63vJJZeYy1m7dm3LcopZ3+xcbbqRL33pS7rssstaOkqK5ac//anq6uokSXfccUfiMaWKigr96Ec/UkVFhSTpO9/5TlHrAwAAAAChGhqy968rOuWUU1oyQn72s5+1+VRHfjDseeedV7T6zJw5U5s2bZIknXzyyYmfH3zwwS1Ptvz85z/X1q1bzeWkVV86S7qwWbNmSZL69Omj888/35xm8ODB+vSnPy1J+s1vflO0MagBAAAAANlRWVmpr33ta5KkJUuW6K677kpMs2DBAk2bNk3SBx0YI0eOTEyzfPnylgFLTjnllMTPN2zY0GFmZ21trf7+7/9e0gc5I1/+8pfN6W688UZJ0l/+8hdNmjQp8fM333xT3/72tyV9EENRzM4SHuLqourr61VbWytJOu6449odh/rkk0/W008/rR07dmjhwoUaPXp0WtX8/9u79/AqqkP94+9ONiGQcFOqBInEloLYSi9CWpAKiFoEeQTrQaGiwSKI57GeY5V6+XlBWyrFVqyiR1TEUtCi+GCpPbXawy01NVi1eI5QgYrITQuVS7jFneT3B2U7yV5JVvasPTNJvp/nyeNm9pqZtWfWzI4rs94FAAAAAAjJzTffrF//+td67733NH36dG3atEmXX3652rVrpxUrVmjmzJlKJBJq166d5syZk9Y+9u3bp2HDhqlfv34aM2aMzjrrLBUUFCg7O1tbt27V8uXLtXDhQn366aeSjnWI9O/f37itq666SvPnz9ef/vQnzZ07V7t27dI111yjLl26qLy8XPfee6/279+vrKwsPfTQQ4pncFwanSXN1MaNG5X41/NgjYUBed9fv359kzpLtm3b1uD7O3futN4WAAAAADQmkZBisbBr8ZlMz4aTSR06dNBLL72kkSNHauPGjZo3b57mzZtXq0zHjh21aNGiBgNVbaxbt07r1q2r9/3s7GzdcccduvPOOxsss2zZMo0cOVJr167V0qVLkyG1x+Xk5Ojhhx/WhRde6Ku+jaGzpJk6PlWSpEanSiosLDSuZ8O7Lv7FRxqlbXik7S78BM7ZhL7aBo927tw+ZVlWvuMw1yCCJ22TcH1sL8twwtsblpkC7ExVsQlura9c3bBQm0xQv8vCygo1fX7bcq4DWW2X5cgQ3LrX8iSlG/DqOpXXaWKl/fb8ZElHKbDRT1uuu8w2qNj6Puj64AWQWBk3BP9GnflSS/1+yGoJiZ+W9xXbEGLbIFjXmfJhZFu0hNOPzOrVq5feeustzZ07V88995w2bdqkyspKFRYWauTIkbrhhhvUs2fPtLffvXt3PffccyorK1N5ebm2b9+u3bt368iRI+rUqZP69OmjoUOHavLkySoqKmp0e127dtVrr72mxx9/XIsXL9b69et18OBBde/eXcOHD9cNN9ygL33pS2nX1xaXVjN14MCB5Ot802/ZHt6plMgsAQAAAIDWJS8vT9OnTzfmgDSmqKiowSl/c3JydOmll+rSSy/1U8Va4vG4pk2bpmnTpjnbZpPrENqe4csRz195GsorkaS2bdsmXx8+fLhJ+2nsSZSdO3equLi4SdsEAAAAgPpVq6bGcirzQESpLghKq+0sSSQSatOmje/tPPXUUyopKfFfoSbK9Tw7W1lpeFTb4+jRo8nX7dq1a9J+GhviAwAAAABAS8PUwc1Uhw4dkq8bG1pz8ODB5OvGhuwAAAAAANDatdonS+LxuNavX+97OwUFBQ5q03TeJz4am7HGO5Qmo4Gt8fhnCVN+kkebI1OQp+EYmMLGXIe+mqQbSmbK9LMNfe1o6pjzEwjo58P6CZE1nQw/oa8mhvrlmEJf81OH3NmGNtoEsJpOmZ/QV9c5kbaCCHh1vSzryKHUhaaDb3tCTOVsLnA/YZymdW1vZn6YAl59fDTLXfjiJ8zVdlnddmYqk5UwPJnqOq3Z9n7uJzTYmFSbyvZ72cR1s3V/GdT+HMbAV9vjHsTvawHcB0xBsNWWfyf2E+YawEdrtEzLCHyt+tdPVESpLghKi7iU0tXYlLtR1rt3b2VnZ6uqqkobNmxosKz3/b59+2a6agAAAAAANGsMw2mmcnJyksGqZWVlDeaWrFq1StKxoNf+/fsHUj8AAAAAAJorOkuasTFjxkiS9u/frxdeeMFYZtu2bXr11VclScOHD6+VdQIAAAAA0VMVwR+0NnSWRNSWLVsUi8UUi8U0dOhQY5nJkyerU6dOkqRbbrlFe/bsqfV+VVWVrrvuOlVVHbu4b7rppozWGQAAAACAlqBVZ5ZkyqZNm1RaWlpr2fEZayoqKrRgwYJa740YMULdunVr8n5OOOEEzZo1S9dee60++OADfeMb39Dtt9+uM888Uzt27NCcOXO0YsUKSdL48eM1bNiw9D6QpWplJYOzfAWL2fITAhoEQ/3i8dSATj/5dX4CyGzK2QZ0mj9Dal9se9vQV1t+Air9hL76aWc+QjCzDOVyDHXJyU9dlpubej5s8j5Np8xPmGsQAa8mrgM1Qwtz9ZO4W3dZGCmE9QkgUNK2en4+hp99+AlzNS1rn1sn3DLddlLfsrC+v/2Ew/rg+qsl00zfwabA03pWTl0WVhCsHwG0AT+HxU+Tr7us7rm1PtcAGhSh/7NsOUpLSzVp0iTje3v27El5b8WKFWl1lkjS1KlTtWPHDt17773avHmzrr766pQyI0eO1Pz589PaPgAAAAAEq1rRGvpCB1RrxDCcFmDGjBkqLS3VhAkTVFhYqJycHJ100kk6//zztXjxYr300kvKtZxWDwAAAACA1o4nSzKgpKREJSUlvrZRVFSkmpoa6/KDBg3SoEGDfO0TAAAAAADQWQIAAAAAiJRqRWvoS5TqgqDQWQJnEonPQq1MoZPWCYtBhMb5CYPzkdxlCtwyhbD5CaO0zSO1+Rj+Al4Ny/JTA25zTAmYtpWxZap0WPuwPRm2ib6WB98YBFtnWfvOqWWqDaM1/QS8+gnICyKP1HTYTeVMzda0rjHM1XWoZnMLXvTz/eA4sNHPLlyGM0r+wlxz4oZf4uuGAQfR7kzCSsy1XNf1vcsPlzm1vi6VqN9nfHw424/hOj/ez1e/Scr2bBL6ATQZmSUAAAAAAAAePFkCAAAAAIiQKkVrNpwo1QVB4ckSAAAAAAAADzpLAAAAAAAAPBiGA2eOHv0sECuen9oPlxX10Ncg1jWIx1NDT13nH6ZbZdvDbpttatK5c/uUZcZeXNdhZWGFvvpp85luBKZQYsOy9sZ0ytRlHfPtAmP95Ab6OT1+Dl1WojJ14RHLlMC6wZv1lct0oKLr8Ew/ibm2SaaGdU1tyg/XubKug4SNba/CIqg1iBDhsO5llssqE24Dq0385N46zi+2E/XUbR/r2n7fhBXo6+cWnDJhQN3KVbWEISPVitbQF2bDaY14sgQAAAAAAMCDzhIAAAAAAAAPhuEAAAAAACKE2XAQPp4sAQAAAAAA8KCzBAAAAAAAwINhOHAmkfgsjNuUGJ4T1mw4Jn7i6h1LSTSXFI+n9mOaZk/wwybZ3zYN3naWANPhNE0Mkp9vmCEn33EbMHE9A4DtLBCmk+t6Bgkbrqf8MDDNrmO6N6TOEWW/D18zVplOrevZIoKYZsG2TdXlekYS21luTNO+WK4b9Zks/EwIZJ51yXJWG5vZcPwcKD/Xo2278LHMduYb1xMCuZbuYTb9buFr6p9mOPON63MbxKVhWpYTtziXNtd7s8MwHISPJ0sAAAAAAAA86CwBAAAAAADwYBgOAAAAACBCqv/1ExVRqguCwpMlAAAAAAAAHjxZAmeqqj4LvzLlSsXzU/vmTGGPRkGEvpoEsQ+DeNwYb2ko53aZDT/ZpqYwV1v5+R1Tljnv7bUNRLNNfrNtt8YLxkdIaQDBxE65rm8Qn9/PheCnnMuL2c/2/aSWWi6rNtwH/QR0BpF36Of+aw5xjFBocF1BBP9aLjt0JNphrq4DP02HJaX9uA5zDeIA2K5rWOYnkD6sQGjbc2tVwbr/riKMFHChmf1GDQAAAABo2aoVrRloGIbTGjEMBwAAAAAAwIPOEgAAAAAAAA+G4QAAAAAAIqRK0RqGE6W6ICh0lsCZROKzfCnbUK32uZbpVrYBmK6DN0MKyswyjIuMx1MfBPMVGGaQbgCinyA0P6GLxtBX24NimzYbRFJkSEHCafNT36h/1qiH47pMigwpoLMykXovM15mhks0iIBO11mUrvdhLd2duE4jtW0/+fkpi/yE/PoJeDXx8yuC6zB2437rfjjXAa+2/BwUH/cQ14G+tlyfR9Pvf6EEOAOQxDAcAAAAAACAWiL+JzQAAAAAQOvCMByEjydLAAAAAAAAPOgsAQAAAAAA8GAYDpypqmo44NW0zBTSleMnGct1mGuUArQMQXe2+Wi2+bguQwdtD53rrNT8/PYpy3z1CttW0HUAW5TaXl1+EhGDKOea69RO1xef7Y2gbjmbMvWVsw1d9BHSGlaYq+3Xg5+McdOyHNsmkOmbt599+mg/LSXM1fFlZVyWdeRQ6sK6HziIMFcTx4mn1YZv8CDuDSau869z4oYw13Q/XGP/bpaqFa2hL4bzhRaPJ0sAAAAAAAA86CwBAAAAAADwYBgOAAAAACBCqhWtoS9RqguCwpMlAAAAAAAAHjxZAmcSiaYHvBpD7nLdhoM5T3TzkxzoQ5ahRzset+vvtA0gq8tPtqmfQ+c6mM8U+prT2bL9VBgSKk3l/CTOtSZ+TmRYQbBhBbf6SYq0KReh4E3Xl4/rrG8/69oyBVlmZXrHrtu2ZVt03aYinlGa+TBXKfUgROlAOb7XtJDs2mBSaQH4QmcJAAAAACBCqhSt2XCiVBcEhWE4AAAAAAAAHnSWAAAAAAAAeDAMBwAAAAAQIdWK1tAXZsNpjegsQUbYhm+ZAq8qE6kPPOUEEfBq4idIL4BALlP4nyn0Nd0MP1Mmm+k82pZzfXpM2au228vNTQ2Sa9+5c2pBQl9TOQ4v9sV1unBYggjatAh4NQUsmpq76zBO16HOtqLUlDPOTxsz8RHmGlaupZ/z7TJbub5lxjBX2wNT9yIK4uD5SK71E/IbpeBW2zZgCul3+kHq7rRV3dyAzGEYDgAAAAAAgAfdjgAAAACACGE2HISPJ0sAAAAAAAA86CwBAAAAAADwYBgOMsI2s8oU3GUSz08NAssyhGoFEsga+aDI1GOVbl6fnzDXIEJfXWf3Jgzhwvn5HVOWmYJ1nSdettQgWNvP5Wddk7CSIv0kB2Z4mW3Aop/m6boZ264bkUPcpGUZD4A0cR36alkuiFuZ6zBXP/mmxvOdqExd6Dr92EYQ6aaGZWHdQ4K4lnPilteynw/XWAPPzrbbTqQxDAfh48kSAAAAAAAADzpLAAAAAAAAPBiGAwAAAACIkBrJNDwxNDVhVwAh4MkSAAAAAAAAD54sQahss61M+Wbtcy3DxsJKC3XNMq3OFBIYj6fXL+o6zDWI0xNEQGV+fvuUZTmdDR+uoiJ1mW1wqZ8Pkml+khNdn/AoXbdBJAfaJkpaLAsrYNGW7SHxsz3bfEo/QZ6mcsYAyDDCn/2EogcgiKoEkW9qDHMNI7jVtpzji6XSEJ6e6Y8vBXP7NR5m18GtNuvWXS9C1zHQnHElAQAAAAAihNlwED6G4QAAAAAAAHjQWQIAAAAAAODBMBwAAAAAQIQwDAfh48kSAAAAAAAAD54sgTPx+Gfh236CwG3XNaWr59jGl5ti2NNNIK+Pn3Ud1yXLsL2ozJDjh5925nriidzc1OOZn98xZVmW6/YYlRlyTFyn8Udp5hsT17NPOJ6RorrO30eCaDp+DomfiVrCmnDIeiaUihBmvvHD9sAbT1pO2puzFUT7sT7fhhnpInP/CWB6mLr3GSm8+4rtun6WGc+3n8qk23CZDQfICK4kAAAAAECEVCtaQ198dIyh2WIYDgAAAAAAgAedJQAAAAAAtGCHDh3S7NmzVVxcrBNOOEH5+fnq27evbrrpJm3dutX39mOxWJN/TEpKSqzX37Jli+96N4RhOAAAAACACGE2HJc2b96sUaNG6W9/+1ut5Rs2bNCGDRv0xBNPaPHixRo5cmRgderdu3dg+0oXnSUIlW12nW0waDw/NUguyxDK5iv5LYiQSdvEVB9ae+irbRPwsz1zEGxqG801tlvDwbK9OJpbKKTrdaMkgERS20DFuk0liDxRP6fR9pYXUl6u++BW25thuifE9qD42adhe+YAzPQfbPaTienncjSJdJir7XoB3Hv8COJrxE9bca6lfPchUioqKnTRRRclO0quueYaXX755WrXrp1WrFihn/zkJ9q3b5/+7d/+TWVlZerXr19a+3nnnXcaLfP000/r/vvvlyRdddVVDZbt3r27Xn755QbLnHLKKfYVTANXJAAAAAAALdD999+vDRs2SJJ++tOf6uabb06+N3DgQA0bNkznnHOODh06pP/4j//Q//zP/6S1ny9/+cuNllm9erWkY0N2rrjiigbLtmnTxmqbmURmCQAAAAAgQqoj+NP8fPrpp3rwwQclSX379tUPfvCDlDIDBw7U9773PUnSihUr9Je//CUjdfnb3/6m8vJySdLQoUN16qmnZmQ/LtFZAgAAAABAC7Ny5Urt3btX0rFhL1lZ5v/9LykpSb5+4YUXMlKXX/7yl8nXjQ3BiQo6SwAAAAAAaGHWrFmTfD1kyJB6y/Xv3195eXmSpNLSUuf1qKmp0aJFiyRJeXl5+s53vuN8H5lAZgmcyc5uOJfKNvTLTzlzqKhleKZJpgP3mrJuAKFxdUNf0w18lcyBiK7PrS0/+/WzzDbk1rzMEARr25bTrXRYSZ6uUxcdB+SZQgz98NUefdyS0j3dPrI9nZcLIszVV3Crn8BlPyck06GQjrfvJ6TV9cf3s67p3mB9t4jKOfNzUTnmeheRCnj1s8EwAtojIbqz4ezcubPR0j169MhkZaytX78++fr000+vt1w8HtcXvvAFrVu3rtY6rqxcuVIffPCBJOmSSy5Rfn5+o+vs2bNH3/rWt/TOO+/o8OHDOuGEE9SvXz+NHj1aV199tdq3b++8nnXRWQIAAAAAgIXi4uJGy9TU1ARQk8Z9+OGHko49zdG5c+cGyxYWFmrdunX6xz/+oaNHj6pt27bO6uEdgnPllVdarVNRUVHrKZddu3Zp165d+sMf/qD77rtPS5Ys0aBBg5zV0YTOEgAAAAAAWpgDBw5IktWTHMeH4UjHOipcdZYcOnRIS5culXTsiZtzzz23wfKxWEzf/OY3NXr0aH3961/XySefrCNHjuidd97Rk08+qfLycm3fvl0XXHCB1qxZo6997WtO6mlCZwkAAAAAIEKqFa1hOJ/NhlNeXq6CgoIQ62LvyL+Gh+bkpA7lrsvbOXL48GFndVi2bFmy0+aKK66oN2T2uAceeMD4FMzAgQN1zTXX6P/9v/+nmTNn6uDBg5o8ebLeeOMNxWIxZ/X1IuAVAAAAAAALBQUF6tGjR4M/TZVIJBSLxXz/LFiwoNZ2c/8V2FVZacjjquPo0aPJ1+3atWvyZ6hPU4fgNDRcKBaL6cc//rHOO+88SdKbb76p1157zXcd68OTJXAmHm96fpWfjDvbwE9TnXJsA16DSKW1PWghBHzVDXyV/IW+moQVBOs6k9e0X9twQj9BsKbzYQqCjZvCYT1/Jam3cq5ZtnfbUFXXIahBlIvKuq5Pd1jBrbZhrsbg1iM+QlqjFObqMvXUcVKv6Vp2HbptK4jAWF/f6WGEvjbD4NYg2J4eY8iv69/rbLbXakNg0ZgOHTpIOjaspjEHDx5MvrYZtmNj586devXVVyVJAwYMUN++fZ1sd+rUqcntrlq1SmeffbaT7dbVDG9fAAAAAICWK7qz4WRCPB53MgtN3eFBPXr00Ouvv66DBw9q7969DT61cTwM9nOf+5yzvJJFixapqurYsbMNdrVxxhlnJF9v377d2XbrorMEAAAAAIAQNTS1b7rOOOOMZLjqhg0b9M1vftNYLpFIaPPmzZLk7OkPSVq4cKEkqU2bNho/fryz7QY12xCZJQAAAAAAtDCDBw9Ovl61alW95d54443kMBxXQ1refvttrVu3TpI0atQonXjiiU62K0nvvvtu8nX37t2dbbcuOksAAAAAABFSHcGf5mfo0KHq1KmTJOnpp5+u94kMbzDs2LFjnezbG+x61VVXOdnmcY899ljy9ZAhQ5xu24thOBlQUVGhN998U+Xl5SovL9fatWu1ZcsWSVLPnj2Tr/1auXKlhg0bZlX2rrvu0t133+1kv/XJzm44g8pPTp3t9qwDP3NT+wlzbFMC/SR5+vnAEWEb+mr7Uf0EnrpuK65zGG2bgOsgWNsmmptyHRiCYd1mPQYS7BjWubVd11YYtwY/59tPXqWf4FZTOXOYq+PgVttyJlE5uY6XVcdT7yGu779R/8o0fR/6CvxMd90AUlVTQsJl/vwt5dchX6Gvpv/Rdv1LMGCQk5Oj73//+7r33nu1fv163X///br55ptrlSkrK9OTTz4p6VjHw4ABA1K2s2XLFp122mnJMitXrmxwv1VVVXrmmWckSSeeeKJGjRplVd8///nP6tmzZ71TM9fU1OiOO+7QH//4R0nSV77ylYyFu0p0lmTE6NGjG21AAAAAAABk0s0336xf//rXeu+99zR9+nRt2rRJl19+udq1a6cVK1Zo5syZSiQSateunebMmeNkny+//LJ27dolSRo/frzatGljtd7vf/973XfffRoxYoTOP/98nXHGGercubOOHj2qdevW6cknn1R5ebkkqX379nr88ccVi8Wc1NmEzpIM8D7e1KVLF/Xv319lZWVWUzala/78+cZewONOOumkjO0bAAAAANypVrRmw2mew3CkY9MHv/TSSxo5cqQ2btyoefPmad68ebXKdOzYUYsWLdJXv/pVJ/v0DsFp6iw4R48e1YsvvqgXX3yx3jKnnnqqFi9e3OD//7pAZ0kGTJgwQVOmTFFxcbF69eolSSoqKspoZ8lpp52mL3/5yxnbPgAAAACg+enVq5feeustzZ07V88995w2bdqkyspKFRYWauTIkbrhhhvUs2dPJ/vav3+/fvOb30g6NsNPUzo0Jk2apJNPPlllZWVat26dPv74Y+3Zs0fxeFxdu3bV17/+dY0ePVoTJkxQrmlsrmN0lmTAlClTwq4CAAAAAACSpLy8PE2fPl3Tp09v8rpFRUXW0/V27NhRhw4davI+pGP5ntOmTdO0adPSWt81OkvgTDzecJ6Y6wxUP6GYJvH81GC6LD8dls0t/M8H47RalkGwJrZhrn4Op227sN2ebTk/oa9+rg3TsrrHwE89XGuO4b226/op55Lr8+i6/diuawxObI6poq4PTN1ltum4pnKGZaYQS9uvveZ42CPF5sAE8QuW5cGLega+7T5cB1tbS+d8N7PfI82qFK1hOFGqC4LC1MEAAAAAAAAezbE/HQa33Xabtm7dqo8//lh5eXkqKirS0KFDNW3aNPXu3Tvt7W7btq3B93fu3Jn2tgEAAAAAiCI6S1qIsrKy5Ou9e/fq7bff1ttvv61f/OIXuuOOO3TXXXelNa1SYWGhy2oCAAAAQCMYhoPw0VnSzBUUFOiSSy7R4MGD9fnPf17xeFxbt27V8uXLtXDhQn366aeaMWOGKisrNXPmzLCrCwAAAABA5NFZ0owNGDBAH3zwgdq0aVNr+de//nWNGTNGU6dO1QUXXKB9+/bpvvvu07hx45o8d/aHH37Y4Ps7d+5UcXGxpPQCXk2CCP2yDfzMzbUMfTVt0BSSZ5sqGlbSXYZlWYa+2p5vP+GZNoGnTdlvEIGkmc5/DCKg04+wAlmDaANBqHs+/IQauuYrSDhKJ8P1xeHnoqz7HWQb5mooV5lofmGufn5vCCSgs7mlRFseUNP3vCkM2LWw2o+vtuKyXbTIgFcgfK024DWRSCgWi/n+WbBgQWifIS8vL6WjxKu4uFhz586VJNXU1CRfN0WPHj0a/CkoKEi7/gAAAACQqlqfDcWJwo9h5jW0eK22s6S1uOyyy9SpUydJ0qpVq0KuDQAAAAAA0ddqh+HE43GtX7/e93ai/mRFPB5X7969tXbtWm3fvj3s6gAAAAAAEHmttrNEkk4//fSwqxCImpqasKsAAAAAAJaqFa2hL1GqC4LCMJwWLpFI6L333pMkde/ePeTaAAAAAAAQfa36yZLW4Nlnn9X+/fslSUOGDMnovrKz3cyGY+Ingdx25htb5hlyLGe+cX0QXE8JVLd+ps/lOA7e2GNrOWuOiW2VXc+Q46dNmYRxul3PfBPELCp+RGn2hDAmZfEz0UoQy0yyXP9lL6xG6vrCspnVxlDGNMtNwnAvaykz31hO/mO9D9MyYxsNY0qtIG5Ijq+fsCa2CmTmGxOX7aJumaqq9OoEoBaeLImoLVu2JGfcGTp0aMr7n3zyiVauXNngNsrLy3X99ddLkmKxmK699toM1BQAAAAAXAp79hvTD1qbiP/dr3natGmTSktLay2rqKhI/rfudMMjRoxQt27dmrSPffv2adiwYerXr5/GjBmjs846SwUFBcrOztbWrVu1fPlyLVy4UJ9++qkk6aabblL//v3T/1AAAAAAALQSdJZkQGlpqSZNmmR8b8+ePSnvrVixosmdJcetW7dO69atq/f97Oxs3XHHHbrzzjvT2j4AAAAAAK0NnSXNVPfu3fXcc8+prKxM5eXl2r59u3bv3q0jR46oU6dO6tOnj4YOHarJkyerqKgo7OoCAAAAgKWoDX2JUl0QFDpLMqCkpEQlJSW+tlFUVNTglL85OTm69NJLdemll/raT5BcB2O5Drv0F/raPmWZdSCQnx1nOjnPdUitD6bjmWMZBOsnQ8029NU2IM42KNGWyybgJ9DOdThsEEIL9bOsSxj78BPIahue6Sv0NYi0UBPXCcauD4zh4FfXuWv6CauOepir63LWYa6JytSFQRysdA+qn5ue5bK67a6+XQRxSFzfV0ML+Q3iHgfAiIBXAAAAAAAAD54sAQAAAABESLWiNfTF8dT1aBZ4sgQAAAAAAMCDzhIAAAAAAAAPhuHAmXg8vKDG44IIyrTNYw0t9NXENvmsBYSIBREE6yfM1XUQbKZPY5SaRFRCUJtSziTKgZeuc0dtl+XEIxSIGFYqpG2AZjwnZZnNPcTPd1ymc0frE0TgsG05Y5ir6zRck0wnl/oIL7YNcw2rTbkOLTexDnP101ZM6pYL+xfwjGA2HISPJ0sAAAAAAAA86CwBAAAAAADwaInPbAEAAAAAmq1qRWsGmijVBUHhyRIAAAAAAAAPnixBRgSRMxVE2KUpj8sUBhdI6KvrFNB099lC+AmCNfET5uqnLbvMEnR9uv18Lj/lTILI7AxCpsNcbcvZLrMPPwwgFNO1AA5gumGupnJ+AstNgsjQDSK41RgubPvd6jq005bL7/kQ2mJTlvnh+hK1DqKO0kEA4AudJQAAAACACKlWtGagYRhOa8QwHAAAAAAAAA86SwAAAAAAADwYhgMAAAAAiJAqRWsYTpTqgqDQWQJnslSdDPOrNjy0FETAYhC5WLb7cB766idt1uWB8bMtl6F0mdivoVyWZf3a5xoC8QxnMkoBrzYBkCa25VpCCGprK2cdyGpcZtig61DDKAW32q7rY5nLQxWl8Ezbcq4DXrMSlakLTeHCrgM6Xafh2izzcfBMYa5BHBLXId5+lkU+zLWx852dnf62ASQxDAcAAAAAAMCDJ0sAAAAAABHCMByEjydLAAAAAAAAPOgsAQAAAAAA8GAYDjLCFBJoCrs0cR0aZ+I6o9SWr9BX0we23WCmw8aCCF0Mi+Nw2NTYPCnHEA6bm5t6vWQ6YC9KuZthhUf6Wdf19oxhqybpBrC6PuFBNJaw0oUDSCu2/Y40SfeQ2gZJRz3M1XkYp5+g9DDCXE3LTAfPsMzU7kwfP6wcUxM/h8m2TUUqzNWGTcBvs1OtaA19sfxORovCkyUAAAAAAAAedJYAAAAAAAB4tIRntAAAAAAALQaz4SB8PFkCAAAAAADgwZMlcCeR+CzAyhAsZQorjMdT++vCyu9znTloWmYKFrMPfU2NBs0ybM/Idid1uT4otmmCrrner+tGarpeDMvamzZnCIe1DewLI+A1SkGwYYW+GoNbXYcERiXRN+rhz2GFIDreb6Y/RhABr7bBm8brx3Vwa9TDXG0OlqFMZcLud66wckzDCgjOSlSmLoxSmKvNh2uRAa9A+LiSAAAAAAARUq1ozUATpbogKAzDAQAAAAAA8KCzBAAAAAAAwINhOAAAAACACKlWtGagYRhOa0RnCTLDNtzTIEqZVK4zukx5YX4+r3Xoq2knpsrYBMGGFfrqulwQXNfPsrGYw2FNAXG1l5mCYYPIHQ1CWEGwzsNcXS5zGRbbHLSQMNd0uQ5ptV3XVxiyKXjTtj3aBnT6EcSNJc3kUlOYq+vM0rDybVtMmKtt+0kn0Ldt2/TqBKAWhuEAAAAAAAB4ROPPHQAAAAAASDo2BCdKw3CiVBcEhSdLAAAAAAAAPOgsAQAAAAAA8GAYDgAAAAAgQhiGg/DRWQJ3qqo+SwW3nbXDMFOEaUaOiEwmIMl9mL5tiL/tuqYZcnJy0zyAQcTkhzWjTViNyvZYuT4GFlMKmB41zDGsZ1pWd2YdyXwtm7ieYMnE9Uwg1rPcmERlNhw/dbPl+gTZrhulKV0M/Mw8FYYgJn3xNfNN1L8fHE/pUh1P/Z6vewiY+aYZzHzjcFnde4rt9y+AhnElAQAAAAAAeETo7/UAAAAAAFT/6ycqolQXBIUnSwAAAAAAADzoLAEAAAAAAPBgGA7cSSSaHn5lCK0i9NU+9NX6GOQajl9u+5RlWXU3aNqpbfqsH7aBp37WjUpyYn38hMul+3kdp6CmtKd61k2NKrTfR9rhxfVxHWYaROhrprm+9vzsI4ikUcfJk37CXP00n3QFEuYa1uPsQfziEFL7qfvV7LqNBZGZbBvcmhO3DNgOIqTVz7o+ltUN+a37saL+K46dakVrBhqG4bRGPFkCAAAAAADgQWcJAAAAAACAR4QGMgAAAAAAUKVoDcOJUl0QFJ4sAQAAAAAA8ODJEgTHR4pYcwx9NXGdHWliyl81rWsKUsvNrR0YlmUoYzzItju1Xeb6RAaxD9fCCBp1fUyiFO4ZljASOuuT6ePiOvzQtlxIy6IU3BrG5R15UQ9zddym0mWbBx7WJRpImKvr+28Q9yQAgeDqAwAAAABECMNwED6G4QAAAAAAAHjQWQIAAAAAAODBMBwAAAAAQIRUK1pDXwz5OWjx6CyBO4lEwyFZtililutGPfTVNiAtiKA/22NQd926ga+SlJNrGT7mOvTVdQBbcwx9tZXusTKdMz+CCPz0s25LOd8m6X625hjy6zgk0XVwq+vbWbpfm372GalLxU9lXN/3IxQQnOnQ19Au0SAOQMTDqW3aSt1/V0WpjwFoxhiGAwAAAABAC1RRUaHVq1fr/vvv17hx43TaaacpFospFoupqKgoI/ssKyvTxIkTVVRUpNzcXBUUFGjEiBF69tlnrbeRSCT02GOP6ZxzztHnPvc5tWvXTr169dK1116rd999NyP1ritKfysAAAAAALR61YrW0Jco1aVpRo8erZUrVwa2v3vuuUczZsxQdfVnx2zXrl3atWuXXn75ZS1evFhLlixRbm5uvdvYs2ePRo0apddff73W8s2bN2vz5s1asGCBHnnkEV199dUZ+xwST5YAAAAAANAi1dTUJF936dJF559/vvLz8zOyryeeeEJ33XWXqqur9YUvfEFPPvmkysvLtWzZMg0bNkyStHz5ck2ePLnebVRVVemSSy5JdpRccskl+u///m+9/vrr+sUvfqGTTjpJR48e1ZQpU/Tyyy9n5HMcx5MlAAAAAAC0QBMmTNCUKVNUXFysXr16SZKKiopUUVHhdD979+7VzTffLEk69dRT9ec//1ldu3ZNvn/RRRdp7NixWr58uRYtWqQpU6bonHPOSdnOwoULtXr1aknSddddp7lz5ybfKy4u1oUXXqizzjpL+/fv1/XXX693331X8QyFa9FZAneqqpoesNUMQ19tq+wnf8xPOKxtOVOWp81xScRTj6cpCDbL9GRdlFISoy7dVN761s30sWqOgXtRWtePTO83iJBW23J+gjIt84uDuCVF5dYVqeDWIAQR5hoSm0DfsD6+7bqm3+FCE6H7WTqbz85OazMRU6VozYYTpbo0zZQpUwLZz+OPP669e/dKkmbNmlWro0SSsrOz9cgjj+h3v/udqqqqNHv2bGNnyezZsyUdewrm+GuvXr166dZbb9Wtt96qjRs36sUXX9R3vvMd9x9IDMMBAAAAAAA+LFu2TJLUsWNHXXLJJcYyPXr00HnnnSdJeuWVV1Kebtm4cWMyvPWyyy5T+/btjdspKSlJvn7hhRd81rx+dJYAAAAAAIC0VFZWqry8XJI0cOBA5eSkPnV+3JAhQyRJR48e1dq1a2u9t2bNmpRyJt26dVPv3r0lSaWlpWnXuzHReX4QAAAAAABVK1pDXz4bJrZz585GS/fo0SOTlYmcjRs3KvGv8X+nn356g2W9769fvz4Z/Hr836Zy9W3nvffe04cffqiDBw8qLy8vnao3iM4SAAAAAAAsFBcXN1rGOwNNa/Dhhx8mXzfWUVRYWGhcL93t1NTUaNu2berTp491fW3RWQJ3Egk3qXXNMPQ1CGHkeNqGwJr2aQp9zcn1kY7rpzJhpSm6blSuE/vS3aeJ68YYxLqO7zWBJCr6YbM914mNluv6CWn1E6raUoJbbZpj1L/jIiVK163lLjJ9vgMJc3UdCh7WPZmLDa3QgQMHkq8bm5bY+wRI3cwSV9txhasZAAAAABAh0Z0Np7y8XAUFBSHWJXqOeP6o2VBeiSS1bds2+frw4cMZ2Y4rdJYAAAAAAGChoKDAeSZJIpFQmzZtfG/nqaeeqjVTTFByc3OTrysrKxsse/To0eTrdu3aNbgd77+bsh1XmA0HAAAAAACkpUOHDsnXjQ2JOXjwYPJ13aE2rrbjCk+WAAAAAAAiJLrDcDIhHo/XmgkmXWEND/I+abNt27YGy3pDXL1hr6btdO3atdHtxGKxjM0+RGcJghNEcJflun5CX8PI2KyPn9BXm2W2QW22nz8RNx1jyyBYlx+svmVRF0ZDy3SKcCa253q/fm4EYd0w0g1zDSu4NaTwVde3BtdN2WUWpZ/T7WeZdZBnlO7Tfq5bx9d8lG4rGd+n6++bqNxrm1Au3d9Pm+OvNEjV2FS5Uda7d29lZ2erqqpKGzZsaLCs9/2+ffvWeu+MM86oVe6rX/1qo9spLCzMyLTBEsNwAAAAAABAmnJycpJTKpeVlTWYW7Jq1SpJxwJa+/fvX+u9wYMHp5Qz2bVrl9577z1J0tlnn512vRtDZwkAAAAAIEKq9dlQnCj8GJ6SQy1jxoyRJO3fv18vvPCCscy2bdv06quvSpKGDx9eK6NEOvaEyvGnTZYsWaJDhw4Zt7NgwYLk67Fjx/qsef3oLAEAAAAAAEZbtmxRLBZTLBbT0KFDjWUmT56sTp06SZJuueUW7dmzp9b7VVVVuu6661RVdSz/5aabbjJu5/jyf/7zn5o+fXrK+5s3b9ZPfvITSdIXvvCFjHaWkFkCAAAAAEALtGnTJpWWltZadnymmYqKilpPaUjSiBEj1K1btybv54QTTtCsWbN07bXX6oMPPtA3vvEN3X777TrzzDO1Y8cOzZkzRytWrJAkjR8/XsOGDTNu56qrrtL8+fP1pz/9SXPnztWuXbt0zTXXqEuXLiovL9e9996r/fv3KysrSw899JDiGcwnorMEAAAAABAh1YrW0Jco1aVpSktLNWnSJON7e/bsSXlvxYoVaXWWSNLUqVO1Y8cO3Xvvvdq8ebOuvvrqlDIjR47U/Pnz691Gdna2li1bppEjR2rt2rVaunSpli5dWqtMTk6OHn74YV144YVp1dMWnSXIDD8zRdgKYIYc86rRHr3m8tC7nmUiNzd1mbFuhmOcm5s6a04WM+TYszlWQcz6EsS9oSWLyvQoBmHNfON6hhw/5Ww5nkDD6rT5Od2me7evWW5MonRPjvjMN62en/MTlgxPYWRzvQNBmTFjhr797W9r7ty5WrNmjT766CN17txZX/nKVzRp0iSNHz++0W107dpVr732mh5//HEtXrxY69ev18GDB9W9e3cNHz5cN9xwg770pS9l/LNwKQEAAAAA0AKVlJSopKTE1zaKiopUU1NjXX7QoEEaNGiQr33G43FNmzZN06ZN87UdX3UIbc8AAAAAAKQ4PgtNVESpLghKtMcTNFNbt27Vo48+qssuu0x9+vRRXl6ecnNz1aNHD1188cV65plnlHD8aGBZWZkmTpyooqIi5ebmqqCgQCNGjNCzzz7rdD8AAAAAALR0PFni2J133qkf/ehHxseUtm/fru3bt+s3v/mNfv7zn2vp0qU69dRTfe/znnvu0YwZM1Rd/dn44V27dmnXrl16+eWXtXjxYi1ZskS5pkHHAAAAAACgFjpLHNuxY4dqamqUl5ensWPHavjw4friF7+o3NxcrV+/Xr/4xS+0du1avfHGGzrvvPP05ptvKj8/P+39PfHEE7rrrrskHZtn+rbbbktOz/Tggw9qxYoVWr58uSZPnqxf/epXrj5meqIe+mq5PVOonSnY0GUOoxSdsEM/h/PIkdRltgGD5sBY03EPIAi2pbBppEEkYEY9jdOW64veZbpnU7ZnIaww17C4DksM4tS6DHjNSlSmLiTM1XnDyPQhCOAjWDPdQ4yhwVFPvfVzUC3Xtf29s+VhGA7CR2eJYyeeeKJmzZqladOmqUOHDrXeO+usszR+/HhNmDBBS5Ys0caNG/XAAw/ojjvuSGtfe/fu1c033yxJOvXUU/XnP/9ZXbt2Tb5/0UUXaezYsVq+fLkWLVqkKVOm6Jxzzkn/wwEAAAAA0Aq0hm7JQM2aNUvTp09P6Sg5Ljs7W4888ohyco799fv5559Pe1+PP/649u7dm9yvt6PEu6/s7GxJ0uzZs9PeFwAAAAAArQWdJSE48cQT1a9fP0nS5s2b097OsmXLJEkdO3bUJZdcYizTo0cPnXfeeZKkV155RRUVFWnvDwAAAAAyr1qfDcWJwo9hmBhaPDpLQnL06FFJUlZWeqegsrJS5eXlkqSBAwcmn1QxGTJkSHKfa9euTWt/AAAAAAC0FmSWhODjjz/W+vXrJUmnn356WtvYuHFjcvrhxrbhfX/9+vUaNmyY9X62bdvW4Ps7d+787B/x+GfBVFEPYjSxDRELKfQ1Klzn9/kJHbTdnvMgWJMotWWX/DTaKIW+ut6vSXNMAbUo4yfMNSx+7heu92tbLtPLjOGZpoNyJCJp4n4FcXIzHKQsZf6Q2q7n55qKUrBsIEL4wHV3GaX7MdCcteRbVWTNnj072dExbty4tLbx4YcfJl/36NGjwbKFhYXG9Wx41wUAAACAzKtWtIa+RKkuCAqdJQF7/fXXNWfOHEnHOjmuu+66tLZz4MCB5OvGph7Oy8tLvs5kZsnOjz767B+uu7RNPfL/Cq5ttJyf7dmua2A7rZvtoaoyzFhm+4c923VN5WzW88PPqbUt17atXTnrv7ya2By81iaIJ0tcH/coPVni556U7j3Ox5MltqfCz33LdnsmQVyifk6Z7f0s3XWt72+uv2xMovRkSaYPfD2CuK5c8nM4bbdnbKMmUbrobWX4d8y6h8T75Hei2T5mcjTsCtQRtfogCHSWBOijjz7SpZdeqkQioVgspqefflrt27dPa1tHjhxJvm4or0SS2nr+T/Hw4cNN2k9jT6K8/fbbGj16tCSpeMSIJm0bAAAAQOb84x//UFFRUdjVSMOasCsAtN7OkkQioTZt2vjezlNPPaWSkpJGyx04cECjRo1KZoDMnDlT5557btr7zc3NTb6urKxssOzxMFlJateuXZP209gQn1qZJQAAAAAAtACttrMkSEeOHNHFF1+sv/zlL5KkG2+8UbfccouvbXbo0CH5urGhNQcPHky+bmzITlOdeeaZKi8v10cffZR8wqS8vFwFBQVO9wOEbefOnSouLpZEG0fLRBtHS0cbR0vmbd+vvfaa4v8a0nPmmWeGWa0m6datW5PzFcPQrVu3sKuAgLTazpJ4PJ6ckcaPxr5oE4mExo0bpxUrVkiSJk+erJ/97Ge+9+t94qOxGWu8Nx3Xga25ubkaMGBArToUFBQ0+kQK0JzRxtHS0cbR0tHG0ZIVFhY2y/Ydj8ebZb3RcrXazhIp/Wl7bVVXV2vixIlavny5JOmyyy7TY4895mTbvXv3VnZ2tqqqqrRhw4YGy3rf79u3r5P9AwAAAADQUtlN14G0TJ06Vc8++6wk6aKLLtLChQuVleXmkOfk5CQftSsrK2swt2TVqlWSjgW99u/f38n+AQAAAABoqegsyZAbb7xRTzzxhCRp+PDhev75550EynqNGTNGkrR//3698MILxjLbtm3Tq6++mqyHN+sEAAAAAACkorMkA+6++2498MADkqRBgwbpxRdfrDV9r40tW7YoFospFotp6NChxjKTJ09Wp06dJEm33HKL9uzZU+v9qqoqXXfddar61zzzN910UxM/CQAAAAAArU+rzizJhIceekgzZsyQJJ1yyin66U9/qvfff7/Bdfr06ZPWUycnnHCCZs2apWuvvVYffPCBvvGNb+j222/XmWeeqR07dmjOnDnJYNnx48dr2LBhTf9AAAAAAAC0MnSWOLZ06dLk6+3bt2vw4MGNrvP++++rqKgorf1NnTpVO3bs0L333qvNmzfr6quvTikzcuRIzZ8/P63tAwAAAADQ2jAMpwWYMWOGSktLNWHCBBUWFionJ0cnnXSSzj//fC1evFgvvfSScnNzw64mAAAAAADNQqympqYm7EoAAAAAAABEBU+WAAAAAAAAeNBZAgAAAAAA4EFnCQAAAAAAgAedJQAAAAAAAB50lgAAAAAAAHjQWQIAAAAAAOBBZwkAAAAAAIAHnSUAAAAAAAAedJYAAAAAAAB40FkCAAAAAADgQWcJAAAAAACAB50lCMTWrVv16KOP6rLLLlOfPn2Ul5en3Nxc9ejRQxdffLGeeeYZJRKJsKsJpK2iokKrV6/W/fffr3Hjxum0005TLBZTLBZTUVFR2NUDGrR161bddNNN6tu3r/Ly8nTCCSeouLhY999/vw4dOhR29YC0fPzxx/rtb3+rO++8UxdeeKG6du2avC+XlJSEXT3AtzfffFMzZ87UhRdeqMLCQrVt21b5+fnq3bu3SkpKtGbNmrCrCDRrsZqampqwK4GW7c4779SPfvQjNdbU+vfvr6VLl+rUU08NqGaAO8OGDdPKlSuN7/Xs2VNbtmwJtD6ArZdeeknf/e53tW/fPuP7ffr00e9+9zt9/vOfD7hmgD+xWKze96666iotWLAguMoAjg0ZMkSrV69utNzEiRP1xBNPKCcnJ4BaAS0LT5Yg43bs2KGamhrl5eXpiiuu0FNPPaXS0lK98cYbWrhwoQYMGCBJeuONN3TeeeepoqIi5BoDTeftDOzSpYvOP/985efnh1gjoHF//etfNW7cOO3bt0/5+fn68Y9/rNdee01//OMfdc0110iS/va3v2nUqFHcm9GsFRYW6oILLgi7GoAz27dvlyR1795dN9xwg55//nmVl5errKxMP//5z3XKKadIkhYuXMiTVECaeLIEGffDH/5QJ554oqZNm6YOHTqkvF9VVaUJEyZoyZIlkqR77rlHd9xxR9DVBHyZN2+e8vPzVVxcrF69ekmSioqK9MEHH/BkCSLr+BNR8Xhcq1ev1sCBA2u9P3v2bE2fPl2SNGPGDN15551hVBNIy1133aUBAwZowIABOvnkk7VlyxaddtppkniyBM3fRRddpCuvvFLf+c53lJ2dnfL+7t27dfbZZ+u9996TJK1evVrf+ta3gq4m0KzRWYJI2LNnj7p3767Kykr169dPf/3rX8OuEuAbnSWIsrVr16q4uFiSNHXqVP3Xf/1XSpnq6mp9+ctf1vr169WlSxd99NFHatOmTdBVBZygswStzW9/+1uNHj1akvT9739fDz74YMg1ApoXhuEgEk488UT169dPkrR58+aQawMALd+yZcuSrydNmmQsk5WVpSuvvFKS9Mknn9SbywMAiJ6hQ4cmX/P7NdB0dJYgMo4ePSrp2C/nAIDMOj5LQl5ens4666x6yw0ZMiT5urS0NOP1AgC4UVlZmXzN79dA03HVIBI+/vhjrV+/XpJ0+umnh1wbAGj5jt9ze/XqpXg8Xm857z35+DoAgOhbtWpV8jW/XwNNR2cJImH27NlKJBKSpHHjxoVcGwBo2Y4cOaLdu3dLknr06NFg2S5duigvL0+S9OGHH2a8bgAA/6qrq3Xfffcl/83v10DT0VmC0L3++uuaM2eOpGO/tF933XXhVggAWrgDBw4kX9tMcX28s4TpgwGgeXjggQdUXl4uSRo7dqz69+8fco2A5ofOEoTqo48+0qWXXqpEIqFYLKann35a7du3D7taANCiHTlyJPk6Jyen0fJt27aVJB0+fDhjdQIAuLFq1SrdcsstkqSTTjpJjz76aMg1AponOkuQdLzDwu+P7VR8Bw4c0KhRo7Rt2zZJ0syZM3Xuuedm8BOitQu6jQNRlZubm3ztDQCsz/EA7nbt2mWsTgAA//7v//5PY8eOVSKRUNu2bbVkyRKdfPLJYVcLaJboLEEojhw5oosvvlh/+ctfJEk33nhjsgccAJBZHTp0SL62GVpz8OBBSXZDdgAA4Xj//fd1wQUX6JNPPlF2draeeeaZWjOaAWia+uPv0erE43EnMx0UFBQ0+H4ikdC4ceO0YsUKSdLkyZP1s5/9zPd+gcYE1caBqMvNzVXXrl21e/fu5NN99fnkk0+SnSWFhYVBVA8A0EQ7duzQeeedpx07digWi2n+/PkaO3Zs2NUCmjU6S1BLpqcVq66u1sSJE7V8+XJJ0mWXXabHHnsso/sEvJg6Dzimb9++WrNmjTZt2qREIlHv9MEbNmyotQ4AIFp2796t888/X3//+98lSQ899JCuvPLKkGsFNH8Mw0Ggpk6dqmeffVaSdNFFF2nhwoXKyqIZAkDQBg8eLOnYEJvjQyJNVq1alXx99tlnZ7xeAAB7+/bt07e//W29++67kqT77rtP//7v/x5yrYCWgf9LRWBuvPFGPfHEE5Kk4cOH6/nnn1ebNm1CrhUAtE5jxoxJvn7qqaeMZaqrq/XLX/5SktS5c2cNGzYsiKoBACwcOnRIo0aN0ptvvilJuv322/XDH/4w5FoBLQedJQjE3XffrQceeECSNGjQIL344ovJqSgBAMErLi7Wt771LUnSk08+qbKyspQyP/vZz5I5PzfccAMd3AAQEZWVlRo7dqz+9Kc/STp2j/7Rj34Ucq2AloXMEmTcQw89pBkzZkiSTjnlFP30pz/V+++/3+A6ffr04ZdyNCubNm1SaWlprWXHZxmpqKhImW54xIgR6tatW1DVA4wefPBBnX322Tp8+LAuuOAC3XbbbRo2bJgOHz6sZ599VvPmzZMk9e7dWz/4wQ9Cri3QNKWlpdq0aVPy37t3706+3rRpU8p9uaSkJKCaAf6NHz9ef/jDHyRJ5557rr73ve/pf//3f+stn5OTo969ewdVPaBFiNXU1NSEXQm0bEOHDq015t3G+++/r6KiosxUCMiABQsWaNKkSdblV6xYoaFDh2auQoCl5cuX64orrtD+/fuN7/fu3VsvvfSSevXqFXDNAH9KSkr09NNPW5fnV2I0J7FYrEnle/bsqS1btmSmMkALxTAcAABasdGjR2vdunX6z//8T/Xu3Vvt27dX586d1b9/f82aNUtvvfUWHSUAAKDV4ckSAAAAAAAAD54sAQAAAAAA8KCzBAAAAAAAwIPOEgAAAAAAAA86SwAAAAAAADzoLAEAAAAAAPCgswQAAAAAAMCDzhIAAAAAAAAPOksAAAAAAAA86CwBAAAAAADwoLMEAAAAAADAg84SAAAAAAAADzpLAAAAAAAAPOgsAQAAAAAA8KCzBAAAAAAAwIPOEgAAAAAAAA86SwAAAAAAADzoLAEAAAAAAPCgswQAAAAAAMCDzhIAAAAAAAAPOksAAAAAAAA86CwBAAAAAADwoLMEAAAAAADAg84SAABamWeeeUaxWEyxWExTp06tt9zWrVvVuXNnxWIx9e7dWwcPHgywlgAAAOGhswQAgFZm/Pjx+u53vytJmjdvnl588cWUMtXV1bryyiu1b98+xeNxLVq0SHl5eUFXFQAAIBR0lgAA0Ao98sgjKioqkiRNnjxZu3btqvX+7NmztWrVKknS3XffrQEDBgRdRQAAgNDEampqasKuBAAACF5paamGDh2qqqoqjRgxQr/73e8Ui8X01ltv6Zvf/KYqKys1ePBgrVy5UtnZ2WFXFwAAIDA8WQIAQCs1ePBg3XrrrZKk3//+93r44Yd1+PBhffe731VlZaU6duyohQsX0lECAABaHZ4sAQCgFUskEjr77LNVXl6u3NxcjRgxQsuWLZMkLVy4UFdccUW4FQQAAAgBnSUAALRymzZt0le/+tVas91cfvnleuaZZ0KsFQAAQHgYhgMAQCvXq1cv3XLLLcl/d+3aVY8++miINQIAAAgXnSUAALRyFRUVeuqpp5L/3rNnj958880QawQAABAuOksAAGjlrr/+ev3973+XJHXo0EE1NTW66qqr9Mknn4RcMwAAgHDQWQIAQCu2dOlSLViwQJJUUlKiJUuWSJK2bduma6+9NsSaAQAAhIeAVwAAWqkdO3bozDPP1D//+U99/vOf19tvv60OHTro+uuv18MPPyxJ+uUvf6mJEyeGXFMAAIBg0VkCAEArVFNTo29/+9t65ZVXlJ2drTVr1mjgwIGSpMOHD6t///5699131bFjR61bt049e/YMucYAAADBYRgOAACt0Jw5c/TKK69Ikm677bZkR4kktWvXTr/61a+Uk5Oj/fv3a+LEiaqurg6rqgAAAIGjswQAgFbmnXfe0a233ipJKi4u1p133plS5mtf+5ruueceSdKaNWs0a9asQOsIAAAQJobhAADQihw9elQDBgzQO++8o7y8PL311lv64he/aCxbXV2tc889V6tWrVKbNm1UVlams846K+AaAwAABI/OEgAAAAAAAA+G4QAAAAAAAHjQWQIAAAAAAOBBZwkAAAAAAIAHnSUAAAAAAAAedJYAAAAAAAB40FkCAAAAAADgQWcJAAAAAACAB50lAAAAAAAAHnSWAAAAAAAAeNBZAgAAAAAA4EFnCQAAAAAAgAedJQAAAAAAAB50lgAAAAAAAHjQWQIAAAAAAOBBZwkAAAAAAIAHnSUAAAAAAAAedJYAAAAAAAB40FkCAAAAAADgQWcJAAAAAACAB50lAAAAAAAAHnSWAAAAAAAAeNBZAgAAAAAA4EFnCQAAAAAAgAedJQAAAAAAAB7/H53d6njWM5ZKAAAAAElFTkSuQmCC\",\n      \"text/plain\": [\n       \"<Figure size 600x500 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 452,\n       \"width\": 549\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"Z = np.sin(10 * R1) / (10 * R1) + np.sin(20 * R4) / (20 * R4)\\n\",\n    \"\\n\",\n    \"fig, ax = plt.subplots(figsize=(6, 5))\\n\",\n    \"\\n\",\n    \"p = ax.pcolor(X, Y, Z, cmap='seismic', vmin=-abs(Z).max(), vmax=abs(Z).max())\\n\",\n    \"ax.axis('tight')\\n\",\n    \"ax.set_xlabel('x')\\n\",\n    \"ax.set_ylabel('y')\\n\",\n    \"cb = fig.colorbar(p, ax=ax)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 57,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 600x500 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 453,\n       \"width\": 549\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"Z = 1/R1 - 1/R2 - 1/R3 + 1/R4\\n\",\n    \"\\n\",\n    \"fig, ax = plt.subplots(figsize=(6, 5))\\n\",\n    \"\\n\",\n    \"im = ax.imshow(Z, vmin=-1, vmax=1, cmap=mpl.cm.bwr,\\n\",\n    \"               extent=[x.min(), x.max(), y.min(), y.max()])\\n\",\n    \"im.set_interpolation('bilinear')\\n\",\n    \"\\n\",\n    \"ax.axis('tight')\\n\",\n    \"ax.set_xlabel('x')\\n\",\n    \"ax.set_ylabel('y')\\n\",\n    \"cb = fig.colorbar(p, ax=ax)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 58,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1400x300 with 6 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 290,\n       \"width\": 1389\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"x = y = np.linspace(-2, 2, 150)\\n\",\n    \"X, Y = np.meshgrid(x, y)\\n\",\n    \"\\n\",\n    \"R1 = np.sqrt((X+0.5)**2 + (Y+0.5)**2)\\n\",\n    \"R2 = np.sqrt((X+0.5)**2 + (Y-0.5)**2)\\n\",\n    \"R3 = np.sqrt((X-0.5)**2 + (Y+0.5)**2)\\n\",\n    \"R4 = np.sqrt((X-0.5)**2 + (Y-0.5)**2)\\n\",\n    \"\\n\",\n    \"fig, axes = plt.subplots(1, 4, figsize=(14, 3))\\n\",\n    \"\\n\",\n    \"Z = np.sin(10 * R1) / (10 * R1) + np.sin(20 * R4) / (20 * R4)\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"p = axes[0].pcolor(X, Y, Z, cmap='seismic', vmin=-abs(Z).max(), vmax=abs(Z).max())\\n\",\n    \"axes[0].axis('tight')\\n\",\n    \"axes[0].set_xlabel('x')\\n\",\n    \"axes[0].set_ylabel('y')\\n\",\n    \"axes[0].set_title(\\\"pcolor\\\")\\n\",\n    \"axes[0].xaxis.set_major_locator(mpl.ticker.MaxNLocator(4))\\n\",\n    \"axes[0].yaxis.set_major_locator(mpl.ticker.MaxNLocator(4))\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"cb = fig.colorbar(p, ax=axes[0])\\n\",\n    \"cb.set_label(\\\"z\\\")\\n\",\n    \"cb.set_ticks([-1, -.5, 0, .5, 1])\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"Z = 1/R1 - 1/R2 - 1/R3 + 1/R4\\n\",\n    \"\\n\",\n    \"im = axes[1].imshow(Z, vmin=-1, vmax=1, cmap=mpl.cm.bwr,\\n\",\n    \"               extent=[x.min(), x.max(), y.min(), y.max()])\\n\",\n    \"im.set_interpolation('bilinear')\\n\",\n    \"\\n\",\n    \"axes[1].axis('tight')\\n\",\n    \"axes[1].set_xlabel('x')\\n\",\n    \"axes[1].set_ylabel('y')\\n\",\n    \"axes[1].set_title(\\\"imshow\\\")\\n\",\n    \"cb = fig.colorbar(im, ax=axes[1])\\n\",\n    \"\\n\",\n    \"axes[1].xaxis.set_major_locator(mpl.ticker.MaxNLocator(4))\\n\",\n    \"axes[1].yaxis.set_major_locator(mpl.ticker.MaxNLocator(4))\\n\",\n    \"#cb.ax.set_axes_locator(mpl.ticker.MaxNLocator(4))\\n\",\n    \"cb.set_label(\\\"z\\\")\\n\",\n    \"cb.set_ticks([-1, -.5, 0, .5, 1])\\n\",\n    \"\\n\",\n    \"x = y = np.linspace(0, 1, 75)\\n\",\n    \"X, Y = np.meshgrid(x, y)\\n\",\n    \"Z = - 2 * np.cos(2 * np.pi * X) * np.cos(2 * np.pi * Y) - 0.7 * np.cos(np.pi - 4*np.pi*X)\\n\",\n    \"\\n\",\n    \"c = axes[2].contour(X, Y, Z, 15, cmap=mpl.cm.RdBu, vmin=-1, vmax=1)\\n\",\n    \"\\n\",\n    \"axes[2].axis('tight')\\n\",\n    \"axes[2].set_xlabel('x')\\n\",\n    \"axes[2].set_ylabel('y')\\n\",\n    \"axes[2].set_title(\\\"contour\\\")\\n\",\n    \"\\n\",\n    \"axes[2].xaxis.set_major_locator(mpl.ticker.MaxNLocator(4))\\n\",\n    \"axes[2].yaxis.set_major_locator(mpl.ticker.MaxNLocator(4))\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"c = axes[3].contourf(X, Y, Z, 15, cmap=mpl.cm.RdBu, vmin=-1, vmax=1)\\n\",\n    \"\\n\",\n    \"axes[3].axis('tight')\\n\",\n    \"axes[3].set_xlabel('x')\\n\",\n    \"axes[3].set_ylabel('y')\\n\",\n    \"axes[3].set_title(\\\"contourf\\\")\\n\",\n    \"\\n\",\n    \"axes[3].xaxis.set_major_locator(mpl.ticker.MaxNLocator(4))\\n\",\n    \"axes[3].yaxis.set_major_locator(mpl.ticker.MaxNLocator(4))\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch4-colormaps.pdf')\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 59,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Text(0, 0.5, 'y')\"\n      ]\n     },\n     \"execution_count\": 59,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 600x500 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 453,\n       \"width\": 547\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(6, 5))\\n\",\n    \"\\n\",\n    \"x = y = np.linspace(0, 1, 75)\\n\",\n    \"X, Y = np.meshgrid(x, y)\\n\",\n    \"\\n\",\n    \"Z = - 2 * np.cos(2 * np.pi * X) * np.cos(2 * np.pi * Y) - 0.7 * np.cos(np.pi - 4*np.pi*X)\\n\",\n    \"\\n\",\n    \"c = ax.contour(X, Y, Z, 15, cmap=mpl.cm.RdBu, vmin=-1, vmax=1)\\n\",\n    \"\\n\",\n    \"ax.axis('tight')\\n\",\n    \"ax.set_xlabel('x')\\n\",\n    \"ax.set_ylabel('y')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 60,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 600x500 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 463,\n       \"width\": 567\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"x = y = np.linspace(-10, 10, 150)\\n\",\n    \"X, Y = np.meshgrid(x, y)\\n\",\n    \"Z = np.cos(X) * np.cos(Y) * np.exp(-(X/5)**2-(Y/5)**2)\\n\",\n    \"\\n\",\n    \"fig, ax = plt.subplots(figsize=(6, 5))\\n\",\n    \"\\n\",\n    \"p = ax.pcolor(X, Y, Z, vmin=-abs(Z).max(), vmax=abs(Z).max(), cmap=mpl.cm.bwr)\\n\",\n    \"\\n\",\n    \"ax.axis('tight')\\n\",\n    \"ax.set_xlabel(r\\\"$x$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(r\\\"$y$\\\", fontsize=18)\\n\",\n    \"ax.xaxis.set_major_locator(mpl.ticker.MaxNLocator(4))\\n\",\n    \"ax.yaxis.set_major_locator(mpl.ticker.MaxNLocator(4))\\n\",\n    \"\\n\",\n    \"cb = fig.colorbar(p, ax=ax)\\n\",\n    \"cb.set_label(r\\\"$z$\\\", fontsize=18)\\n\",\n    \"cb.set_ticks([-1, -.5, 0, .5, 1])\\n\",\n    \"\\n\",\n    \"fig.savefig(\\\"ch4-colormap-pcolor.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## 3D plots\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 61,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from mpl_toolkits.mplot3d.axes3d import Axes3D\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 62,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = y = np.linspace(-3, 3, 74)\\n\",\n    \"X, Y = np.meshgrid(x, y)\\n\",\n    \"\\n\",\n    \"R = np.sqrt(X**2 + Y**2)\\n\",\n    \"Z = np.sin(4 * R) / R\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 63,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1400x400 with 4 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 401,\n       \"width\": 1337\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 3, figsize=(14, 4), subplot_kw={'projection': '3d'})\\n\",\n    \"\\n\",\n    \"def title_and_labels(ax, title):\\n\",\n    \"    ax.set_title(title)\\n\",\n    \"    ax.set_xlabel(\\\"$x$\\\", fontsize=16)\\n\",\n    \"    ax.set_ylabel(\\\"$y$\\\", fontsize=16)\\n\",\n    \"    ax.set_zlabel(\\\"$z$\\\", fontsize=16)\\n\",\n    \"\\n\",\n    \"norm = mpl.colors.Normalize(-abs(Z).max(), abs(Z).max())\\n\",\n    \"\\n\",\n    \"p = axes[0].plot_surface(X, Y, Z, rstride=1, cstride=1, linewidth=0, antialiased=False, norm=norm, cmap=mpl.cm.Blues)\\n\",\n    \"cb = fig.colorbar(p, ax=axes[0], shrink=0.6)\\n\",\n    \"title_and_labels(axes[0], \\\"plot_surface\\\")\\n\",\n    \"\\n\",\n    \"p = axes[1].plot_wireframe(X, Y, Z, rstride=2, cstride=2, color=\\\"darkgrey\\\")\\n\",\n    \"title_and_labels(axes[1], \\\"plot_wireframe\\\")\\n\",\n    \"\\n\",\n    \"cset = axes[2].contour(X, Y, Z, zdir='z', offset=0, norm=norm, cmap=mpl.cm.Blues)\\n\",\n    \"cset = axes[2].contour(X, Y, Z, zdir='y', offset=3, norm=norm, cmap=mpl.cm.Blues)\\n\",\n    \"title_and_labels(axes[2], \\\"contour\\\")\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch4-3d-plots-1.png\\\", dpi=200)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 64,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1400x400 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 401,\n       \"width\": 1300\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 3, figsize=(14, 4), subplot_kw={'projection': '3d'})\\n\",\n    \"\\n\",\n    \"def title_and_labels(ax, title):\\n\",\n    \"    ax.set_title(title)\\n\",\n    \"    ax.set_xlabel(\\\"$x$\\\", fontsize=16)\\n\",\n    \"    ax.set_ylabel(\\\"$y$\\\", fontsize=16)\\n\",\n    \"    ax.set_zlabel(\\\"$z$\\\", fontsize=16)\\n\",\n    \"\\n\",\n    \"norm = mpl.colors.Normalize(-abs(Z).max(), abs(Z).max())\\n\",\n    \"\\n\",\n    \"r = np.linspace(0, 10, 100)\\n\",\n    \"p = axes[0].plot(np.cos(r), np.sin(r), 6 - r)\\n\",\n    \"#cb = fig.colorbar(p, ax=axes[0], shrink=0.6)\\n\",\n    \"title_and_labels(axes[0], \\\"plot\\\")\\n\",\n    \"\\n\",\n    \"p = axes[1].scatter(np.cos(r), np.sin(r), 6 - r)\\n\",\n    \"title_and_labels(axes[1], \\\"scatter\\\")\\n\",\n    \"\\n\",\n    \"r = np.linspace(0, 6, 20)\\n\",\n    \"p = axes[2].bar3d(np.cos(r), np.sin(r), 0* np.ones_like(r), 0.05* np.ones_like(r), 0.05 * np.ones_like(r), 6 - r)\\n\",\n    \"title_and_labels(axes[2], \\\"contour\\\")\\n\",\n    \"axes[2].text(0, 0, 0, \\\"label\\\")\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch4-3d-plots-2.png\\\", dpi=200)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Versions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 65,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%reload_ext version_information\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 66,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/json\": {\n       \"Software versions\": [\n        {\n         \"module\": \"Python\",\n         \"version\": \"3.10.12 64bit [Clang 14.0.6 ]\"\n        },\n        {\n         \"module\": \"IPython\",\n         \"version\": \"8.12.0\"\n        },\n        {\n         \"module\": \"OS\",\n         \"version\": \"macOS 10.15.7 x86_64 i386 64bit\"\n        },\n        {\n         \"module\": \"numpy\",\n         \"version\": \"1.22.3\"\n        },\n        {\n         \"module\": \"matplotlib\",\n         \"version\": \"3.7.1\"\n        }\n       ]\n      },\n      \"text/html\": [\n       \"<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.10.12 64bit [Clang 14.0.6 ]</td></tr><tr><td>IPython</td><td>8.12.0</td></tr><tr><td>OS</td><td>macOS 10.15.7 x86\\\\_64 i386 64bit</td></tr><tr><td>numpy</td><td>1.22.3</td></tr><tr><td>matplotlib</td><td>3.7.1</td></tr><tr><td colspan='2'>Sat Nov 02 18:10:21 2024 JST</td></tr></table>\"\n      ],\n      \"text/latex\": [\n       \"\\\\begin{tabular}{|l|l|}\\\\hline\\n\",\n       \"{\\\\bf Software} & {\\\\bf Version} \\\\\\\\ \\\\hline\\\\hline\\n\",\n       \"Python & 3.10.12 64bit [Clang 14.0.6 ] \\\\\\\\ \\\\hline\\n\",\n       \"IPython & 8.12.0 \\\\\\\\ \\\\hline\\n\",\n       \"OS & macOS 10.15.7 x86\\\\_64 i386 64bit \\\\\\\\ \\\\hline\\n\",\n       \"numpy & 1.22.3 \\\\\\\\ \\\\hline\\n\",\n       \"matplotlib & 3.7.1 \\\\\\\\ \\\\hline\\n\",\n       \"\\\\hline \\\\multicolumn{2}{|l|}{Sat Nov 02 18:10:21 2024 JST} \\\\\\\\ \\\\hline\\n\",\n       \"\\\\end{tabular}\\n\"\n      ],\n      \"text/plain\": [\n       \"Software versions\\n\",\n       \"Python 3.10.12 64bit [Clang 14.0.6 ]\\n\",\n       \"IPython 8.12.0\\n\",\n       \"OS macOS 10.15.7 x86_64 i386 64bit\\n\",\n       \"numpy 1.22.3\\n\",\n       \"matplotlib 3.7.1\\n\",\n       \"Sat Nov 02 18:10:21 2024 JST\"\n      ]\n     },\n     \"execution_count\": 66,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%version_information numpy, matplotlib\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3 (ipykernel)\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "ch04-figures.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Chapter 4: Figures\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%matplotlib inline\\n\",\n    \"import matplotlib.pyplot as plt\\n\",\n    \"import matplotlib as mpl\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig = plt.figure()\\n\",\n    \"\\n\",\n    \"ax = fig.add_axes([0.05, 0.05, .88, .88])\\n\",\n    \"ax.set_yticks([])\\n\",\n    \"ax.set_xticks([])\\n\",\n    \"ax.text(0.001, 0.01, \\\"(0,0)\\\")\\n\",\n    \"ax.text(1.001, 0.01, \\\"(1,0)\\\")\\n\",\n    \"ax.text(0.001, 1.01, \\\"(0,1)\\\")\\n\",\n    \"ax.text(1.001, 1.01, \\\"(1,1)\\\")\\n\",\n    \"ax.text(0.02, 0.92, \\\"Figure\\\", fontsize=18)\\n\",\n    \"\\n\",\n    \"ax.text(0.12, 0.06, \\\"(0.15, 0.15)\\\")\\n\",\n    \"\\n\",\n    \"ax = fig.add_axes([0.15, 0.15, 0.68, 0.66])\\n\",\n    \"ax.text(0.03, 0.88, \\\"Axes\\\", fontsize=18)\\n\",\n    \"ax.set_yticks([])\\n\",\n    \"ax.set_xticks([])\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"fig.savefig(\\\"figure-axes-schematic.pdf\\\");\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig = plt.figure()\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"ax.text(0.12, 0.06, \\\"(0.15, 0.15)\\\")\\n\",\n    \"\\n\",\n    \"ax = fig.add_axes([0.15, 0.15, 0.68, 0.66])\\n\",\n    \"ax.set_yticks([1, 2, 3])\\n\",\n    \"ax.set_xticks([1, 2, 3])\\n\",\n    \"\\n\",\n    \"#ax.set_yticklabels(['', '', ''])\\n\",\n    \"\\n\",\n    \"ax.set_xlabel(\\\"x axis\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(\\\"y axis\\\", fontsize=18)\\n\",\n    \"\\n\",\n    \"ax.set_xlim(1,3)\\n\",\n    \"ax.set_ylim(1,3)\\n\",\n    \"\\n\",\n    \"ax.xaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.25))\\n\",\n    \"ax.yaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.25))\\n\",\n    \"\\n\",\n    \"ax.annotate(\\\"Major tick\\\",\\n\",\n    \"         xy=(1, 2), xycoords='data',\\n\",\n    \"         xytext=(+35, +30), textcoords='offset points', fontsize=16,\\n\",\n    \"         arrowprops=dict(arrowstyle=\\\"->\\\", connectionstyle=\\\"arc3, rad=.2\\\"))\\n\",\n    \"\\n\",\n    \"ax.annotate(\\\"Minor tick\\\",\\n\",\n    \"         xy=(1, 1.5), xycoords='data',\\n\",\n    \"         xytext=(+35, +30), textcoords='offset points', fontsize=16,\\n\",\n    \"         arrowprops=dict(arrowstyle=\\\"->\\\", connectionstyle=\\\"arc3, rad=.2\\\"))\\n\",\n    \"\\n\",\n    \"fig.savefig(\\\"figure-axis-schematic.pdf\\\");\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Versions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%reload_ext version_information\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/json\": {\n       \"Software versions\": [\n        {\n         \"module\": \"Python\",\n         \"version\": \"3.10.12 64bit [Clang 14.0.6 ]\"\n        },\n        {\n         \"module\": \"IPython\",\n         \"version\": \"8.12.0\"\n        },\n        {\n         \"module\": \"OS\",\n         \"version\": \"macOS 10.15.7 x86_64 i386 64bit\"\n        },\n        {\n         \"module\": \"numpy\",\n         \"version\": \"1.22.3\"\n        },\n        {\n         \"module\": \"matplotlib\",\n         \"version\": \"3.7.1\"\n        }\n       ]\n      },\n      \"text/html\": [\n       \"<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.10.12 64bit [Clang 14.0.6 ]</td></tr><tr><td>IPython</td><td>8.12.0</td></tr><tr><td>OS</td><td>macOS 10.15.7 x86\\\\_64 i386 64bit</td></tr><tr><td>numpy</td><td>1.22.3</td></tr><tr><td>matplotlib</td><td>3.7.1</td></tr><tr><td colspan='2'>Sat Nov 02 18:11:39 2024 JST</td></tr></table>\"\n      ],\n      \"text/latex\": [\n       \"\\\\begin{tabular}{|l|l|}\\\\hline\\n\",\n       \"{\\\\bf Software} & {\\\\bf Version} \\\\\\\\ \\\\hline\\\\hline\\n\",\n       \"Python & 3.10.12 64bit [Clang 14.0.6 ] \\\\\\\\ \\\\hline\\n\",\n       \"IPython & 8.12.0 \\\\\\\\ \\\\hline\\n\",\n       \"OS & macOS 10.15.7 x86\\\\_64 i386 64bit \\\\\\\\ \\\\hline\\n\",\n       \"numpy & 1.22.3 \\\\\\\\ \\\\hline\\n\",\n       \"matplotlib & 3.7.1 \\\\\\\\ \\\\hline\\n\",\n       \"\\\\hline \\\\multicolumn{2}{|l|}{Sat Nov 02 18:11:39 2024 JST} \\\\\\\\ \\\\hline\\n\",\n       \"\\\\end{tabular}\\n\"\n      ],\n      \"text/plain\": [\n       \"Software versions\\n\",\n       \"Python 3.10.12 64bit [Clang 14.0.6 ]\\n\",\n       \"IPython 8.12.0\\n\",\n       \"OS macOS 10.15.7 x86_64 i386 64bit\\n\",\n       \"numpy 1.22.3\\n\",\n       \"matplotlib 3.7.1\\n\",\n       \"Sat Nov 02 18:11:39 2024 JST\"\n      ]\n     },\n     \"execution_count\": 5,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%version_information numpy, matplotlib\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": []\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"npbook_py310\",\n   \"language\": \"python\",\n   \"name\": \"npbook_py310\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "ch05-code-listing.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Chapter 5: Equation solving\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"%matplotlib inline\\n\",\n    \"import matplotlib.pyplot as plt\\n\",\n    \"import matplotlib\\n\",\n    \"matplotlib.rcParams['mathtext.fontset'] = 'stix'\\n\",\n    \"matplotlib.rcParams['font.family'] = 'serif'\\n\",\n    \"matplotlib.rcParams['font.sans-serif'] = 'stix'\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from scipy import linalg as la\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from scipy import optimize\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import sympy\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"sympy.init_printing()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import matplotlib.pyplot as plt\\n\",\n    \"%matplotlib inline\\n\",\n    \"\\n\",\n    \"#import matplotlib as mpl\\n\",\n    \"#mpl.rcParams[\\\"font.family\\\"] = \\\"serif\\\"\\n\",\n    \"#mpl.rcParams[\\\"font.size\\\"] = \\\"12\\\"\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from __future__ import division\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Linear Algebra - Linear Equation Systems\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"$$\\n\",\n    \"2 x_1 + 3 x_2 = 4\\n\",\n    \"$$\\n\",\n    \"\\n\",\n    \"$$\\n\",\n    \"5 x_1 + 4 x_2 = 3\\n\",\n    \"$$\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"x1 = np.linspace(-4, 2, 100)\\n\",\n    \"\\n\",\n    \"x2_1 = (4 - 2 * x1)/3\\n\",\n    \"x2_2 = (3 - 5 * x1)/4\\n\",\n    \"\\n\",\n    \"ax.plot(x1, x2_1, 'r', lw=2, label=r\\\"$2x_1+3x_2-4=0$\\\")\\n\",\n    \"ax.plot(x1, x2_2, 'b', lw=2, label=r\\\"$5x_1+4x_2-3=0$\\\")\\n\",\n    \"\\n\",\n    \"A = np.array([[2, 3], [5, 4]])\\n\",\n    \"b = np.array([4, 3])\\n\",\n    \"x = la.solve(A, b)\\n\",\n    \"\\n\",\n    \"ax.plot(x[0], x[1], 'ko', lw=2)\\n\",\n    \"ax.annotate(\\\"The intersection point of\\\\nthe two lines is the solution\\\\nto the equation system\\\",\\n\",\n    \"            xy=(x[0], x[1]), xycoords='data',\\n\",\n    \"            xytext=(-120, -75), textcoords='offset points', \\n\",\n    \"            arrowprops=dict(arrowstyle=\\\"->\\\", connectionstyle=\\\"arc3, rad=-.3\\\"))\\n\",\n    \"\\n\",\n    \"ax.set_xlabel(r\\\"$x_1$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(r\\\"$x_2$\\\", fontsize=18)\\n\",\n    \"ax.legend();\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch5-linear-systems-simple.pdf')\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Symbolic approach\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"A = sympy.Matrix([[2, 3], [5, 4]])\\n\",\n    \"b = sympy.Matrix([4, 3])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAAkAAAAOCAYAAAD9lDaoAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA30lEQVQoFW2RMRKCMBBFg3qAjEeA1orRnsIjWNupR6CEVm8gpa2tnRY0tt5AjoDeIL4fBycqf+ZPsn//bnYhcs6ZsixjY0wOhSlsYY5+kzCEMmwRllmWnWBV1/UE7cB5JW4GMsAV/IACdX3Co0SZ5vBBwkoIcOFu0WOZFDQEquyDNRq8j0VR3CEp55/7q6ZriqiF/MZ6rg8auMK8UzJSuxAk9oo5N53+1YnE+tegeNS5MSy4J2EH7prrPTiBBp1xdr9GOUGFbcSacp+hvleIMUFKYaLntImMfh7OEP4HvwBvn1+w+m4NrAAAAABJRU5ErkJggg==\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 2$\"\n      ],\n      \"text/plain\": [\n       \"2\"\n      ]\n     },\n     \"execution_count\": 11,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A.rank()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{\\\\sqrt{2 \\\\sqrt{170} + 27}}{\\\\sqrt{27 - 2 \\\\sqrt{170}}}$\"\n      ],\n      \"text/plain\": [\n       \"  _____________\\n\",\n       \"╲╱ 2⋅√170 + 27 \\n\",\n       \"───────────────\\n\",\n       \"  _____________\\n\",\n       \"╲╱ 27 - 2⋅√170 \"\n      ]\n     },\n     \"execution_count\": 12,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A.condition_number()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 7.58240137440151$\"\n      ],\n      \"text/plain\": [\n       \"7.58240137440151\"\n      ]\n     },\n     \"execution_count\": 13,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.N(_)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 3 \\\\sqrt{6}$\"\n      ],\n      \"text/plain\": [\n       \"3⋅√6\"\n      ]\n     },\n     \"execution_count\": 14,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A.norm()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"L, U, P = A.LUdecomposition()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}1 & 0\\\\\\\\\\\\frac{5}{2} & 1\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡ 1   0⎤\\n\",\n       \"⎢      ⎥\\n\",\n       \"⎣5/2  1⎦\"\n      ]\n     },\n     \"execution_count\": 16,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"L\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}2 & 3\\\\\\\\0 & - \\\\frac{7}{2}\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡2   3  ⎤\\n\",\n       \"⎢       ⎥\\n\",\n       \"⎣0  -7/2⎦\"\n      ]\n     },\n     \"execution_count\": 17,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"U\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}2 & 3\\\\\\\\5 & 4\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡2  3⎤\\n\",\n       \"⎢    ⎥\\n\",\n       \"⎣5  4⎦\"\n      ]\n     },\n     \"execution_count\": 18,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"L * U\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = A.solve(b)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}-1\\\\\\\\2\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡-1⎤\\n\",\n       \"⎢  ⎥\\n\",\n       \"⎣2 ⎦\"\n      ]\n     },\n     \"execution_count\": 20,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Numerical approach\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"A = np.array([[2, 3], [5, 4]])\\n\",\n    \"b = np.array([4, 3])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"2\"\n      ]\n     },\n     \"execution_count\": 22,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.linalg.matrix_rank(A)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 7.58240137440152$\"\n      ],\n      \"text/plain\": [\n       \"7.582401374401516\"\n      ]\n     },\n     \"execution_count\": 23,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.linalg.cond(A)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 7.34846922834953$\"\n      ],\n      \"text/plain\": [\n       \"7.3484692283495345\"\n      ]\n     },\n     \"execution_count\": 24,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.linalg.norm(A)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"P, L, U = la.lu(A)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[1. , 0. ],\\n\",\n       \"       [0.4, 1. ]])\"\n      ]\n     },\n     \"execution_count\": 26,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"L\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[5. , 4. ],\\n\",\n       \"       [0. , 1.4]])\"\n      ]\n     },\n     \"execution_count\": 27,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"U\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[5., 4.],\\n\",\n       \"       [2., 3.]])\"\n      ]\n     },\n     \"execution_count\": 28,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.dot(L, U)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[2., 3.],\\n\",\n       \"       [5., 4.]])\"\n      ]\n     },\n     \"execution_count\": 29,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.dot(P, np.dot(L, U))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[2., 3.],\\n\",\n       \"       [5., 4.]])\"\n      ]\n     },\n     \"execution_count\": 30,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"P.dot(L.dot(U))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([-1.,  2.])\"\n      ]\n     },\n     \"execution_count\": 31,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"la.solve(A, b)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Example : rank and condition numbers -> numerical errors\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 32,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"p = sympy.symbols(\\\"p\\\", positive=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 33,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"A = sympy.Matrix([[1, sympy.sqrt(p)], [1, 1/sympy.sqrt(p)]])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 34,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"b = sympy.Matrix([1, 2])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 35,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}\\\\frac{2 p - 1}{p - 1}\\\\\\\\- \\\\frac{\\\\sqrt{p}}{p - 1}\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡2⋅p - 1⎤\\n\",\n       \"⎢───────⎥\\n\",\n       \"⎢ p - 1 ⎥\\n\",\n       \"⎢       ⎥\\n\",\n       \"⎢  -√p  ⎥\\n\",\n       \"⎢ ───── ⎥\\n\",\n       \"⎣ p - 1 ⎦\"\n      ]\n     },\n     \"execution_count\": 35,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.simplify(A.solve(b))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 36,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"# Symbolic problem specification\\n\",\n    \"p = sympy.symbols(\\\"p\\\", positive=True)\\n\",\n    \"A = sympy.Matrix([[1, sympy.sqrt(p)], [1, 1/sympy.sqrt(p)]])\\n\",\n    \"b = sympy.Matrix([1, 2])\\n\",\n    \"\\n\",\n    \"# Solve symbolically\\n\",\n    \"x_sym_sol = A.solve(b)\\n\",\n    \"x_sym_sol.simplify()\\n\",\n    \"x_sym_sol\\n\",\n    \"Acond = A.condition_number().simplify()\\n\",\n    \"\\n\",\n    \"# Function for solving numerically\\n\",\n    \"AA = lambda p: np.array([[1, np.sqrt(p)], [1, 1/np.sqrt(p)]])\\n\",\n    \"bb = np.array([1, 2])\\n\",\n    \"x_num_sol = lambda p: np.linalg.solve(AA(p), bb)\\n\",\n    \"\\n\",\n    \"# Graph the difference between the symbolic (exact) and numerical results.\\n\",\n    \"p_vec = np.linspace(0.9, 1.1, 200)\\n\",\n    \"\\n\",\n    \"fig, axes = plt.subplots(1, 2, figsize=(12, 4))\\n\",\n    \"\\n\",\n    \"for n in range(2):\\n\",\n    \"    x_sym = np.array([x_sym_sol[n].subs(p, pp).evalf() for pp in p_vec])\\n\",\n    \"    x_num = np.array([x_num_sol(pp)[n] for pp in p_vec])\\n\",\n    \"    axes[0].plot(p_vec, (x_num - x_sym)/x_sym, 'k')\\n\",\n    \"axes[0].set_title(\\\"Error in solution\\\\n(numerical - symbolic)/symbolic\\\")\\n\",\n    \"axes[0].set_xlabel(r'$p$', fontsize=18)\\n\",\n    \"\\n\",\n    \"axes[1].plot(p_vec, [Acond.subs(p, pp).evalf() for pp in p_vec])\\n\",\n    \"axes[1].set_title(\\\"Condition number\\\")\\n\",\n    \"axes[1].set_xlabel(r'$p$', fontsize=18)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch5-linear-systems-condition-number.pdf')\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Rectangular systems\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Underdetermined\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 37,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"unknown = sympy.symbols(\\\"x, y, z\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 38,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"A = sympy.Matrix([[1, 2, 3], [4, 5, 6]])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 39,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = sympy.Matrix(unknown)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 40,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"b = sympy.Matrix([7, 8])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 41,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"AA = A * x - b\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 42,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left\\\\{ x : z - \\\\frac{19}{3}, \\\\  y : \\\\frac{20}{3} - 2 z\\\\right\\\\}$\"\n      ],\n      \"text/plain\": [\n       \"{x: z - 19/3, y: 20/3 - 2⋅z}\"\n      ]\n     },\n     \"execution_count\": 42,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.solve(A*x - b, unknown)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Overdetermined: least squares\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 43,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"np.random.seed(1234)\\n\",\n    \"\\n\",\n    \"# define true model parameters\\n\",\n    \"x = np.linspace(-1, 1, 100)\\n\",\n    \"a, b, c = 1, 2, 3\\n\",\n    \"y_exact = a + b * x + c * x**2\\n\",\n    \"\\n\",\n    \"# simulate noisy data points\\n\",\n    \"m = 100\\n\",\n    \"X = 1 - 2 * np.random.rand(m)\\n\",\n    \"Y = a + b * X + c * X**2 + np.random.randn(m)\\n\",\n    \"\\n\",\n    \"# fit the data to the model using linear least square\\n\",\n    \"A = np.vstack([X**0, X**1, X**2])  # see np.vander for alternative\\n\",\n    \"sol, r, rank, sv = la.lstsq(A.T, Y)\\n\",\n    \"y_fit = sol[0] + sol[1] * x + sol[2] * x**2\\n\",\n    \"fig, ax = plt.subplots(figsize=(12, 4))\\n\",\n    \"\\n\",\n    \"ax.plot(X, Y, 'go', alpha=0.5, label='Simulated data')\\n\",\n    \"ax.plot(x, y_exact, 'k', lw=2, label='True value $y = 1 + 2x + 3x^2$')\\n\",\n    \"ax.plot(x, y_fit, 'b', lw=2, label='Least square fit')\\n\",\n    \"ax.set_xlabel(r\\\"$x$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(r\\\"$y$\\\", fontsize=18)\\n\",\n    \"ax.legend(loc=2);\\n\",\n    \"\\n\",\n    \"fig.savefig('ch5-linear-systems-least-square.pdf')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 44,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"# fit the data to the model using linear least square: \\n\",\n    \"# 1st order polynomial\\n\",\n    \"A = np.vstack([X**n for n in range(2)])\\n\",\n    \"sol, r, rank, sv = la.lstsq(A.T, Y)\\n\",\n    \"y_fit1 = sum([s * x**n for n, s in enumerate(sol)])\\n\",\n    \"\\n\",\n    \"# 15th order polynomial\\n\",\n    \"A = np.vstack([X**n for n in range(16)])\\n\",\n    \"sol, r, rank, sv = la.lstsq(A.T, Y)\\n\",\n    \"y_fit15 = sum([s * x**n for n, s in enumerate(sol)])\\n\",\n    \"\\n\",\n    \"fig, ax = plt.subplots(figsize=(12, 4))\\n\",\n    \"ax.plot(X, Y, 'go', alpha=0.5, label='Simulated data')\\n\",\n    \"ax.plot(x, y_exact, 'k', lw=2, label='True value $y = 1 + 2x + 3x^2$')\\n\",\n    \"ax.plot(x, y_fit1, 'b', lw=2, label='Least square fit [1st order]')\\n\",\n    \"ax.plot(x, y_fit15, 'm', lw=2, label='Least square fit [15th order]')\\n\",\n    \"ax.set_xlabel(r\\\"$x$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(r\\\"$y$\\\", fontsize=18)\\n\",\n    \"ax.legend(loc=2);\\n\",\n    \"\\n\",\n    \"fig.savefig('ch5-linear-systems-least-square-2.pdf')\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Eigenvalue problems\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 45,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"eps, delta = sympy.symbols(\\\"epsilon, delta\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 46,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}\\\\epsilon & \\\\delta\\\\\\\\\\\\delta & - \\\\epsilon\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡ε  δ ⎤\\n\",\n       \"⎢     ⎥\\n\",\n       \"⎣δ  -ε⎦\"\n      ]\n     },\n     \"execution_count\": 46,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"H = sympy.Matrix([[eps, delta], [delta, -eps]])\\n\",\n    \"H\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 47,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"eval1, eval2 = H.eigenvals()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 48,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( - \\\\sqrt{\\\\delta^{2} + \\\\epsilon^{2}}, \\\\  \\\\sqrt{\\\\delta^{2} + \\\\epsilon^{2}}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"⎛    _________     _________⎞\\n\",\n       \"⎜   ╱  2    2     ╱  2    2 ⎟\\n\",\n       \"⎝-╲╱  δ  + ε  , ╲╱  δ  + ε  ⎠\"\n      ]\n     },\n     \"execution_count\": 48,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"eval1, eval2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 49,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[ \\\\left( - \\\\sqrt{\\\\delta^{2} + \\\\epsilon^{2}}, \\\\  1, \\\\  \\\\left[ \\\\left[\\\\begin{matrix}\\\\frac{\\\\epsilon}{\\\\delta} - \\\\frac{\\\\sqrt{\\\\delta^{2} + \\\\epsilon^{2}}}{\\\\delta}\\\\\\\\1\\\\end{matrix}\\\\right]\\\\right]\\\\right), \\\\  \\\\left( \\\\sqrt{\\\\delta^{2} + \\\\epsilon^{2}}, \\\\  1, \\\\  \\\\left[ \\\\left[\\\\begin{matrix}\\\\frac{\\\\epsilon}{\\\\delta} + \\\\frac{\\\\sqrt{\\\\delta^{2} + \\\\epsilon^{2}}}{\\\\delta}\\\\\\\\1\\\\end{matrix}\\\\right]\\\\right]\\\\right)\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡⎛                  ⎡⎡       _________⎤⎤⎞  ⎛                 ⎡⎡       _________⎤⎤⎞⎤\\n\",\n       \"⎢⎜    _________     ⎢⎢      ╱  2    2 ⎥⎥⎟  ⎜   _________     ⎢⎢      ╱  2    2 ⎥⎥⎟⎥\\n\",\n       \"⎢⎜   ╱  2    2      ⎢⎢ε   ╲╱  δ  + ε  ⎥⎥⎟  ⎜  ╱  2    2      ⎢⎢ε   ╲╱  δ  + ε  ⎥⎥⎟⎥\\n\",\n       \"⎢⎜-╲╱  δ  + ε  , 1, ⎢⎢─ - ────────────⎥⎥⎟, ⎜╲╱  δ  + ε  , 1, ⎢⎢─ + ────────────⎥⎥⎟⎥\\n\",\n       \"⎢⎜                  ⎢⎢δ        δ      ⎥⎥⎟  ⎜                 ⎢⎢δ        δ      ⎥⎥⎟⎥\\n\",\n       \"⎢⎜                  ⎢⎢                ⎥⎥⎟  ⎜                 ⎢⎢                ⎥⎥⎟⎥\\n\",\n       \"⎣⎝                  ⎣⎣       1        ⎦⎦⎠  ⎝                 ⎣⎣       1        ⎦⎦⎠⎦\"\n      ]\n     },\n     \"execution_count\": 49,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"H.eigenvects()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 50,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"(eval1, _, evec1), (eval2, _, evec2) = H.eigenvects()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 51,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAABQAAAAZCAYAAAAxFw7TAAAACXBIWXMAAA7EAAAOxAGVKw4bAAABUElEQVQ4Ee2V0W0CMQyGA2IABBvABrRMAN0AukHLBpz6dPcKG9AV6AbtBgg2KBuAGIHPp7OU5pyUnnisJct27P+PHXKhlef51jk3QlWeiqI4apCy1C3JL7yarAXhnsSDt9jIheNVgO1G6ASok8iVKXZeVTUn7BBdsRY9kmSHAPcQ7LAZusbP0E/8AdaUKCEgOZMu9kOR+Bd8iTe6FtooIYVz9BACiHfoFPKukUv+KFMAZwMkXYpIviZmh7HdA3QviMvQJCSjxdqNj9Wu/zyyT2L5fWsx1qF2YWG0e7mXNTEJq+shxdZYumZebpOw2vYLO6h832iHkq9JilBeoccawjl5SA7eFD9KooQA3qk8Y2eKwJdxn9EXXQvtb4+DdPMGkY4+Jp4QW19QyZ0kBHihSh6EmyU68s0MQeE/YXAgDcK7n2F5bbge314zTf+X5ZPMruoDUe0UkU+lAAAAAElFTkSuQmCC\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}0\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"[0]\"\n      ]\n     },\n     \"execution_count\": 51,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.simplify(evec1[0].T * evec2[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 52,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[1, 3, 5],\\n\",\n       \"       [3, 5, 3],\\n\",\n       \"       [5, 3, 9]])\"\n      ]\n     },\n     \"execution_count\": 52,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A = np.array([[1, 3, 5], [3, 5, 3], [5, 3, 9]])\\n\",\n    \"A\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 53,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"evals, evecs = la.eig(A)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 54,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([13.35310908+0.j, -1.75902942+0.j,  3.40592034+0.j])\"\n      ]\n     },\n     \"execution_count\": 54,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"evals\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 55,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[ 0.42663918,  0.90353276, -0.04009445],\\n\",\n       \"       [ 0.43751227, -0.24498225, -0.8651975 ],\\n\",\n       \"       [ 0.79155671, -0.35158534,  0.49982569]])\"\n      ]\n     },\n     \"execution_count\": 55,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"evecs\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 56,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([-1.75902942,  3.40592034, 13.35310908])\"\n      ]\n     },\n     \"execution_count\": 56,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"la.eigvalsh(A)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Nonlinear equations\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Univariate\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 57,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAABKUAAAEiCAYAAAAoMGGMAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAACY9UlEQVR4nOzdd3xT5fcH8E9Gk+507106mIVC2RtEhovhVlygKDh/DhQR9Ysi4t6oiAo4EQeIguxVRqGsttC9926TZj+/PzLoSBekvUl63q9XX5Dbm+TkJnmanHue8/AYYwyEEEIIIYQQQgghhPQiPtcBEEIIIYQQQgghhJC+h5JShBBCCCGEEEIIIaTXUVKKEEIIIYQQQgghhPQ6SkoRQgghhBBCCCGEkF5HSSlCCCGEEEIIIYQQ0usoKUUIIYQQQgghhBBCeh0lpQghhBBCCCGEEEJIr6OkFCGEEEIIIYQQQgjpdZSUIoQQQgghhBBCCCG9jpJShBBCCCGEEEIIIaTXUVKKEEIIIYQQQgghhPQ6SkoRQgghhBBCCCFWTqVScR2CVaDjZFkoKUVIF8jlcjzyyCNISEhAv379sGvXLq5DIoRYGa1Wi7fffhsPPPAAEhIScOTIEa5DIoQQQoiNSE5OxtmzZ7kOwyr8/PPPkMlkXIdB9CgpRSwCYwybNm2CVqvtcL/U1FScP3++l6K6Ytu2bXjjjTdw6tQpvPjii3jiiSd6PYZrdejQIUyZMoXrMAjpMZY+jqSnp2PRokXYuHEjli9fjl9//dVst93Y2IhHH30UPj4+8PLywpNPPgmNRtOl6z733HNISEi4qvu19GNOSG/oK+8DS3ictbW1eOihh+Dn5wdfX188/PDDqK+v75H7IsSa1NXV4ddff+3w73ljYyNKSkp6MarecTXFAzfffDNef/31Xoiu91ljMQUlpUivq66uxtNPP401a9ZgypQpUKlUWLx4MYYOHQo+v+OX5IABA3D06FHs2LGjl6LVWbBgAby8vAAAo0ePhq+vb6/e/7VoaGjAli1b8PDDD+PAgQNch0OIWVjjOBIbGwsPDw+o1WocPXoUTz31lNlu+8UXX8ScOXNw8eJFvPvuu/j444/x5Zdfdum6gwYNwujRo7t9n9ZwzAkxN2sce8zBUh7nkiVLEB0djU8++QSzZs3CV199hSVLlpj9fojtsYSkanuu5eSQwdtvv4277rqrxbY9e/aAx+MZfwICAuDi4mL8PWMM77zzDp5//nm8/PLLWLRoERoaGtrc9v/+9z88+OCDLbaZOp5cnQDvqHigvefTxcUFzs7OOHHiRI/FZYnHw2IxQnrZrFmz2MGDB1l5eTl79tln2aJFi9iWLVu6dRt33XUXy8rK6qEIO7Zu3TqWmJjIyX1fi5dffpnRW57YCmsdR+RyOfv888/Z8OHD2YIFC8xymzk5Oez48eMttg0bNowtXbrULLffnsWLF1vFMSfEnKx17LlWlvB+T05OZl9++WWLbTfffDMTCARMLpeb7X6I9auqqmJPPfUUe/PNN9nkyZOZUqlkDz30EDt//nyXrv/ZZ5+x7du393CUV3z77bds2bJlV339qqoqNmHChDbb77zzTvbNN9+wjRs3so0bN7KjR4+2+P3q1avZ1KlTjZdXrlzJbrzxxja3M3ToUPbXX38ZL7c+nvX19Wzz5s0sJiaGk+8aCoXC+P+LFy+2ORbtPZ95eXns+uuvN3s8ln48LBF9QyW96sSJEyw0NNR4ed++fWzgwIHdvp3ExERO3mCJiYnsv//+6/X7NYdVq1ZRUorYBGsfRxhjTK1Ws7CwMFZZWdkjtx8ZGdmtD9QajaZbt2+Nx5yQa2ULY8/VsJTHmZiYyJRKZYttH3/8MQPAqqqqzHY/xPr1teTxpk2b2JNPPtliW1ZWFnv44YfbvU5VVRVzcHBg33//vXFbTk4OA8AOHTrUYpuzszNramoybmsvSX01J8D/+usvVlZW1q3rdKS94oH2ns+IiAhWXV3dpdvubqyWUBBgLcUUNH2P9KqNGze2KGN85513cMMNN3T7dkaNGoWUlBQcPnzYnOF1KDExEXw+H9OnTwdjDNnZ2b1234SQK6x5HDHg8/mIjo6Gu7u72W97w4YNeOSRR9ock++//x5vvfUW1q5dCx8fH5w9exYXL17EU0891WL6XmJiIhYuXIi77roLv/76K6KiouDt7Y0tW7YY97HGY07ItbLUsSc/Px9PP/00HnjgAQwePBjPP/+8cUrN6dOnkZCQAB6Ph/Xr1yMnJwehoaF4+eWXUVdXh8TERCxatAhPPPEE3nvvPfj7+8Pd3b1FrxVLeZyjR4+GnZ1di21yuRyRkZHw8PAwy30Q63fy5EmkpqZi4sSJ8Pb2xuzZs5GYmNhmaltnHn/8cdx///09E6QJnU0r7Mjff/+NYcOGtdhmmMYfExODFStWoKampsXv//nnHzQ1NWH48OHGbWFhYfD09MQvv/xi3LZt2zbMnDkT9vb2AID9+/fj2LFjJo+nQCDoduyPP/44UlNTu309U44fP46hQ4eabEnQ3vM5ePDgLvdc6m6sV3M8zKmj42FpKClFesXZs2fx6quv4quvvkJDQwNeffVV5OXlYc+ePRgwYECLfXfv3o0bb7wRkyZNAgD88ccfCAoKwp9//mnch8fjYcCAAWZrFNzZff7555+YP38+HnzwQQwaNAjh4eFmG2i68ngJIdY/jvzzzz+Ij4/Hli1bsGXLFnz44Yed9mbpjtTUVNx+++1YtGgR3n//fSQlJRl/J5fL8cILL2D58uV44YUX8NlnnwEAfHx8UFZWhvLycuO+CQkJKC8vx7FjxwAAKSkpuP322/HEE09Aq9VCoVCYPOZdOQbmPuaE9AZLHns0Gg0effRRrF69Ghs3bsT333+PdevW4YsvvgAADB8+HL/99hucnJxQXl6O0tJS3HrrrVi9ejUkEgk8PT2xb98+/Pvvvxg4cCBOnjyJuXPnYtWqVfj9998t/v1++PBhs/bnI9bPUpPHpk4MAWhzcqgrJ4ZaO3/+PEJCQlpsGzp0KJ544gkwxvDmm28iPj4excXFxt9fvHgRABAUFNTiekFBQS1W8Nu2bRvmzp1rvHy1x7OndVY80N7zGRISggsXLvRmqL3C6oopuC3UIn1Jeno6A8BSUlIYY4ydP3+eAWD//PNPm31PnDjBALAdO3awPXv2sNra2jYl2wsWLGBjxowxXj548CATi8Wd/ixatMhkfF25z57SG/dN0/eILaBxpH1qtZpVVFSwH374gbm7u7O4uDjj7+rr65lQKGSffvopY0zXb8Aw3WXVqlUtpiQxxth9993HJk2aZLy8a9cuBoAVFxd3eMwZ6/wYtD7mhFgDSx17fvrpJxYTE8OefPJJ48/o0aPZq6++2mK/tWvXMkdHRzZjxgzW2NjY4neTJk1iCxcuNF5uampiHh4ebNasWRb9fk9NTWUTJkxgarW6R26fWJfk5GS2atUqJhAI2Pz589mqVatYbm4uE4lE7Lvvvmux765du9gNN9zAJk6cyBhj7Pfff2eBgYHsjz/+aLHf+PHj2eOPP37NsTU1NTE/Pz/j5V9//ZUlJyczxhgrKytjd9xxh/HvsEqlYtdffz0LDQ1lv/zyC1MoFGzp0qXMw8Oj3an2np6eLCkpyeTvNBoN++yzz5hQKGQ33XSTcfvDDz/MALR5/4wbN47FxMQwxhgrLS1lYrGY1dbWMsZ0fTFNHU+Dq/muERoayvbv39/pfh09Z3/88Qfz9/dnAwcOZAMHDmShoaEsNze3zW2Yej5XrFjR7me6q43VoCe/e5njeFgSYa9mwEifdvz4cXh6eqJ///4AdEuXAoBIJGqz7/Dhw+Hi4oJ9+/bh3XffNXl7Dg4OqKioMF4eMWJEi8x+eyQSicntXbnPzvj5+aGsrKzDfTZu3NimfLQr9321t02ILaFxRMfUe10gEMDLywt33nknlEol7r//ftTV1UEikcDFxQWvvfYali5diu3bt+Pzzz9HWFhYl2MyHF+FQtHhMQc6Pwatjzkh1sBSx57k5GTEx8fjgw8+6PB6Tz/9NL799ls4OTnBycmpze95PJ7x//b29hg1ahRycnJ67P1+rZ9plEolXnnlFfz000+cT5EhlmHo0KFwcnLCa6+9htdffx0DBgzAhQsXoFQq4ePj02LfGTNmwM3NDaNGjcLff/8NFxcXpKSkwNHRscV+fn5+LaqODx06hBkzZnQay7333ouvvvrKeFmlUqGyshKfffYZHnvsMdx0001obGwEoKtYjomJQWJiIgBAKBTCz88Pcrkct956KwDgpptuwqeffoqysjL4+/u3ub+amho4OzubjIXP5+PRRx9FTU0NVq5cCaVSCZFIZHxPN3/vGy4bpsn+8ccfmDx5snHcSU9PN3k8e0NHz5mdnR1uvvnmTm+j9fMJAM7OzmabPtibzHE8LAklpUivOX78OMaPH28c/AwfigyDcnMCgQARERHtfggCdCXrhvnNAODo6IjY2Nirjq8r99mZCxcuQKPRdLiPqS+zXbnvq71tQmwJjSM6nb3XR44cCUD34dbgpZdeQkxMDJ588knExcVh586dGDduXLfj6+iYA50fg9bHnBBrYKljj1QqRU5OTpvthi+eBnV1dfDw8MDvv/+O//77D9ddd12Ht+vq6gpXV9cee79f6zi3YsUKvPLKKwgICOjwNkjfYqnJY3OeGDLF1dUVMpmsw9u4//77sWLFClRVVcHf3x/e3t4AdGOIi4uLcT+pVGp8X23btg3z5s0z/q6zJHVnDh48iGnTprXYptFoMG3atBbJsVdeeQWvvPJKm+tf64k/U0lymUwGNzc3s8faVdeSoDfHiVBLQUkp0muOHz/eoileVFQU+Hw+amtr2+z7/fffY+jQodi3b1+7t1dbW4uIiAjjZVODhyn33XcfNmzYcFX32RnDAN9dXbnvq71tQmwJjSNdU1JSgoSEBOMXyrKyMpSVlWH+/PmYMWMGZs2ahXXr1l1VUqqjYw50fgxaH3NCrIGljj1RUVH47LPPcO7cOcTFxRm3r1u3DitWrDBefvnll/Hjjz9i0aJFWLp0KS5cuACxWNzu/eTm5mLq1Kk99n6/lnHunXfewezZszF48GDjttTUVJN9r0jfYqnJY8B8J4ZM8fX1RX19fYf7uLm5QSAQGBdYMYwXRUVFLR5TUVERpkyZgtraWhw8eBDfffed8XedJak7k5CQYOxlZTBt2jSsWbPGeDINALy8vExe/1pP/JlKktfX18PX19fssXbVtSTozXEi1FJQUor0CplMhvPnzxsbbwK6csnRo0cjJSUFANDU1ITa2loUFBTAw8MDTzzxBEaOHInS0lIcOHAAd9xxR4vbzM7OxpIlS4yXTQ0epjR/Y3f3Ps2pt+/bcHZFq9WatbkyIb2FxhHTsrOzsX79ejzxxBMIDAyESqXCBx98gPfee69FjOvXr8enn34KFxcXLFiwAOnp6QB00wqUSmWL21Sr1WCMGS8bfq/Vatscc8Ptd/UYtD7mhFg6Sx17AOCee+7BypUrcdNNN+Htt9+Gr68vvvnmmxb39++//yIsLAzBwcH45JNPMHjwYLz11ltYtWqVcZ+CggIwxsDj8XD69Gnk5+fjmWeesbj3++bNm3HmzBmEhYVh69atAIDS0lIUFhbirbfeMtv9EOtkqcljc54YMiUmJqZFE3NTkpKSMHXqVGNSZsaMGXB0dMSZM2eMSamCggKUl5djwYIF2LFjB4YPHw4/Pz/jbXSWpO6MqaSenZ0dQkJCupTsu9YTf6aS5MXFxZgzZ47ZY+2qa0nQm+NEqMXguqkV6RsOHjzIPD092zTo+/77740NMP/880/m5eXFPvzwQ8YYY1qtlg0fPpxNmDCBVVRUtLheWVkZc3V1ZZWVldcUV3fu09x6676VSiXbtGkTCwkJYQDYihUr2IULF8x2+4T0FhpHTLt48SKLiIhgbm5u7LHHHmOvv/46O3fuXIt9cnJyGJ/PZ8uWLWOff/45W7x4MausrGT79+9ncXFxjMfjsQ8//JDV1tayxMREFhwczNzd3dlff/3FSkpK2Lx58xgA9uyzzzKpVNrimHfnGJjrmBPSmyx17GkeX1xcHBOLxWzgwIFs69atxt/9+++/zMfHh+3cuZMxxlhhYSGLiYlhQqHQGOukSZPYqFGj2OLFi9myZcvYggULWFpamsnH2Z3H2hOP087OjgFo87Nnzx6z3AexXlKplAmFQnby5MkW28eOHcuef/55xhhjMpmMFRcXsxMnTrDt27ez06dPM4FAwEpKStiPP/7Y5jZjY2PZBx980OI+0tLSOv0pLi5ucTs5OTnsscceM15+//332aOPPmq8/NJLLzF/f3/j5bvvvtvYwJqxK4uNZGVlmXzsX3zxBXvuueeMl48fP87mzp3LDh06xBhjrKGhgc2cOZNdvHixxfVeeuklNmPGDOPl119/nY0fP55ptVo2d+5ctm7dujb31fx4trZ8+XIGoN2G7KZ01jy8u89ZR1o/n4wxFh0dzUpLS80Sa2tXczw6Y87jYUkoKUV6xeuvv86WLVvWZrtGo2FTp05lp0+f7tbtrVy5kr3//vtmio4QYg1oHLEcdMxJX2LrY8+kSZPYfffd1+7vbeVxEttmycnj9k4MMcbanBw6cOBApyeGWissLGSTJ082Xk5NTWVxcXHM3t6e3X///WzFihUmE1oajYatWLGCPf744+yVV15h9957L6uqqmIymYw5OjqyjIyMNtdpnaRm7NpOgHeW6DHXiT9Tz2dZWRmbMGFCl2+jq0mpniwI4PpEaE+hpBTpMWlpaWzDhg1Mq9WyUaNGsby8PJP7FRUVsdmzZ5scZE05fvx4i7MLhBDbReOI5aJjTmxZXxp7OktKMWYbj5PYNltPHnfm0UcfZdnZ2T1+P1d7PNuzbNkylpKSYpbb6oip5/O9995ju3bt6vJt9FasfRE1liE9pry8HN999x3WrVuH//3vfwgJCTG5X0BAADZs2ID33nuvRQ8TU9LS0nDq1Cl8+umnPREyIcTC0DhiueiYE1vWl8YejUYDlUrV4T628DiJ7bl06RK++eYbMMbw999/47nnnmuzD5/Px6ZNm7By5cpOV6gzOHHiBCorK/HUU0+ZOeKes3LlyhZNyXvK1RzPjnz88cc9vkiBqedTqVQiOzsbM2bM6PLt9EasfRWPdfaXhZBewvQNNq91H0JI30XjSO+jY06I9b4PvvvuOyxbtgzOzs5Ys2YN7rzzzg5X5bPWx0ls06FDh7By5UrMmTMHw4YNw3XXXdfuvqWlpfj666+xYsWKDl+faWlp2Lt3L5YuXWp1r+O9e/fCy8urxUqcPaWrx5Nr7T2f33//PWbPnn3Nq+cR86CkFCGEEEIIIYQQm9YXkqqNjY1wdnbulfuyhmPVXoy9eZxI5ygpRQghhBBCCCGEEEJ6HfWUIoQQQgghhBBCCCG9jpJShBBCCCGEEEIIIaTXCbkOwNJptVoUFxfDxcXF4ufMEkJ6B2MMDQ0NCAgIAJ9/7bl9GmcIIc3RGEMI6Wk0zhBCelpXxxlKSnWiuLgYwcHBXIdBCLFABQUFCAoKuubboXGGEGIKjTGEkJ5G4wwhpKd1Ns5QUqoTLi4uAHQH0tXVtdP9f07Kx/+2p8FRxMefS8fD382hp0MkhPSy+vp6BAcHG8eHa9XdcYYQYh3OFdTg7q9PwtVeiCMvTAWf37XqARpjCCEd0WgZZn90CEU1crx8Q3/ckRDS7dugcYYQ0tO6Os5QUqoThvJTV1fXLg2wD00eiF2X65GUV4N1+wvw1cLhVMJKiI0y13u7u+MMIcQ6pFVVgC92xOhYH7i5Sbp9fRpjCCGm7LxQghIZH57uEtw7oT8cRIKrvi0aZwghPa2zcYYanZsZn8/Dm/MGw07Aw560MuxKKeU6JEIIIYRw4GRODQBgZLgHx5EQQmzJV4ezAQD3jg69poQUIYRYAkpK9YBoXxc8MjESALDqrxTUy1UcR0QIIYSQ3qTVMiTlVQMAEsIoKUUIMY/TedVIzq+FSMjHvWPCuA6HEEKuGSWlesiyqf0Q7uWEsnoF3tl1metwCCGEENKLMisaUStTwcFOgEGB3Z+6Rwghpnx5SFclNXdoILxdxBxHQwgh146SUj3E3k6AN24ZBADYdDwPp/NqOI6IEEIIIb3lRHYVAGBYiBvsBPRxixBy7XIqpdidWgYAWDQhnONoCCHEPOhTUg8a288L8+ODwBjw0rYLUGm0XIdECCGEkF6QqE9KjYnw5DgSQoit+PxAJhgDpsX6IMrXPKvmEUII1ygp1cNWzOkPd0c7XC5rMDYlJIQQQojt0moZjmfr+kmNiaSkFCHk2hXVNmHbmSIAwNKp/TiOhhBCzIeSUj3Mw0mEl+cMAAB8uCcD2RWNHEdECCGEkJ6UXt6AaqkSDnYCDAly4zocQogN+PJgFtRahrGRnogPcec6HEIIMRtKSvWCefGBmBDlBYVai+e3nodWy7gOiRBCCCE9JDFLN3VvRJg7REL6qEUIuTYVDQr8dKoAALBsClVJEUJsC31S6gU8Hg9r5g2Gk0iApLwafJeYy3VIhBBCCOkhhqQUTd0jhJjD10eyoVBrMSzEjcYVQojNoaRULwlyd8Ty2f0BAG//exn5VTKOIyKEEEKIuWm1DCdy9P2kqMk5IeQa1cqU2JyYBwBYOrkfeDwexxERQoh59amk1Mcffwwej4cDBw5wcv93jwzB6AgPNKk0eOE3msZHCCGE2JrUknrUNangLBZicKCE63AIIVbu22O5kCo1iPVzwbT+PlyHQwghZtdnklLFxcV45513OI2Bz+dh7fwhcLATIDG7Cj+eyuc0HkIIIYSY1/Fs3dS9hDB3CAV95mMWIaQH1MtV2Hg0FwCwdApVSRFCbFOf+bT0+OOP48UXX+Q6DIR6OuG562MAAGt2XkJRbRPHERFCCCHEXKifFCHEXL45koO6JhUivZ0we7A/1+EQQkiP6BNJqe3bt8POzg4zZ87kOhQAwH1jwzA81B2NCjVe3HYBjNE0PkIIIcTaqTVanDT2k/LiOBpCiDWrlSmx4XAOAOCp6dEQ8KlKihBim2w+KSWVSrFixQq8//77XIdiJNBP4xMJ+TiUXoFfTxdyHRIhhBBCrlFKcT0aFGq42gsxIMCV63AIIVbsq8PZaFCoEevngjlUJUUIsWE2n5RauXIllixZAn//rg3mCoUC9fX1LX56Qj8fZzxzXTQA4H87UlFSR9P4COkremucIYT0rkR9P6mR4Z6cVjXQGEOIdatqVBh7ST01PRp8C6ySonGGEGIuNp2USk5OxokTJ7BkyZIuX2fNmjWQSCTGn+Dg4B6Lb9H4cMQFSdAgV+P5redpGh8hfURvjjOEkN5zzEL6SdEYQ4h1W38oGzKlBoMCXXH9QF+uwzGJxhlCiLnYdFJqx44daGpqwtSpUzF58mTccccdAICnnnoKkydPRmZmZpvrvPjii6irqzP+FBQU9Fh8QgEf7942FGIhH4czKrH5eF6P3RchxHL05jhDCOkdcpUGJ/SVUhOiuO0nRWMMIdarvEGO7xNzAQDPXBdtsSvu0ThDCDEXIdcB9KSVK1di5cqVxsu5ubkIDw/HBx98gMmTJ5u8jlgshlgs7qUIddP4ls+KxWvbU/HGzjSMj/JGuJdTr90/IaT39fY4QwjpeafzaqBQa+HrKkaUjzOnsdAYQ4j1+mx/FuQqLYYGu2FKjA/X4bSLxhlCiLnYdKWUtbhvTBjG9fOEXKXFM7+chVqj5TokQgghhHTDoYwKAMD4ft4WW9lACLFs+VUybDmhmznxfzMst0qKEELMqc8kpZ566qkW0/cM/7cEfD4P6xbEwcVeiOT8Wqw/lM11SIQQQgjphsPplQC4n7pHCLFe7+y+DJWGYUKUFyZEeXMdDiGE9Aqbnr7X3AcffMB1CB0KcHPAazcNxDO/nMP7/6VjUrQ3BgVKuA6LEEIIIZ2obFQgtUS38tS4fpSUIoR03/nCWvx1rhgA8MLMWI6jIYSQ3tNnKqWswdxhgZg50A9qLcP//XIOcpWG65AIIYQQ0omjmboqqf7+rvB2oR4rhJDuYYxhzc5LAHTfB+jENCGkL6GklAXh8Xh4Y+4geDmLcLmsAe/9l851SIQQQgjpxOEMXVJqIk3dI4RchQPpFUjMroJIwMf/zYjmOhxCCOlVlJSyMJ7OYqyZNwQA8NXhbBzTn30lhBBCiOVhjOGwock5JaUIId2k0TKs/UdXJXX/uDAEuTtyHBEhhPQuSkpZoOsG+OLOkcFgDHj6l7OokSq5DokQQgghJmSUN6KsXgGxkI+EMA+uwyGEWJnfzhTiUmkDJA52WDq5H9fhEEJIr6OklIVaecMARHg7oaxegRd+Ow/GGNchEUIIIaQVw9S9keEesLcTcBwNIcSaNCrUWLfrMgBg6ZRISBztOI6IEEJ6HyWlLJSjSIiP7hgGkYCP3all2HIin+uQCCGEENKKYereBJq6Rwjppo/3ZaCiQYEwT0fcNzaM63AIIYQTlJSyYIMCJXh+ZgwA4H87UpFR1sBxRIQQQggxUKg1OJFdDQCYEOXNcTSEEGuSUynFN0dyAOhmSIiFVGlJCOmbKCll4R4cF46J0d5QqLV4/MdkyFUarkMihBBCCIAT2dVoUmng4yJGrJ8L1+EQQqzI6h2pUGkYJkV7Y2qsD9fhEEIIZygpZeH4fB7euXUIvJxFuFTagLf0q3MQQgghhFv7L5cDAKbE+IDH43EcDSHEWhy4XI69l8oh5POw8oYBNH4QQvo0SkpZAR8Xe6xbEAcA+PZYLvZdKuM4IkIIIYTsv6RPSsXS1D1CSNco1Vq8viMVAHD/2DD083HmOCJCCOEWJaWsxJRYHzwwLgwA8Nyv51FWL+c2IEIIIaQPy6mUIrdKBjsBD+P6UZNzQkjXbDyag+wKKbycRXhiehTX4RBCCOcoKWVFXpgZi/7+rqiSKvH4D8lQa7Rch0QIIYT0Sfv0VVIJYR5wsadl3AkhnSuskeGDPRkAgOdnxsKVxg5CCKGklDWxtxPgs7vj4SwW4mRuNd77L53rkAghhJA+6YC+nxQ1KCaEdAVjDK/+lYImlQYjwz1w6/AgrkMihBCLQEkpKxPu5YS35g8GAHx2IMvYz4IQQgghvUOqUONEdjUA3fR6QgjpzK6UMuxJK4edgIc35w6i5uaEEKJHSSkrdMOQACwcEwoAePqXsyiubeI4IkIIIaTvOJpZCaVGixAPR0R4OXEdDiHEwjUq1Hj1rxQAwMMTI9DPx4XjiAghxHJQUspKrZjTH4MDJaiVqbDshzNQUX8pQgghpFfsv1wBQDd1j6odCCGdef+/dJTWyxHi4YjHp1Jzc0IIaY6SUlZKLBTg07vi4WIvxJn8Wrz97yWuQyKEEEJsHmPM2E9qcow3x9EQQizd+cJabDyaAwD43y2DYG8n4DgiQgixLJSUsmIhno5YtyAOAPDV4RzsTinlOCJCCCHEtqWW1KOkTg57Oz5GR3hyHQ4hxIIp1Bo89+t5aBlwY1wAJkVTIpsQQlqjpJSVmznIDw+OCwcA/N+v55BbKeU4IkIIIcR27U4pAwBMivamigdCSIc+3ZeJy2UN8HQS4bWbBnIdDiGEWCRKStmA5bNiER/ihga5Gks2n4ZMqeY6JEIIIcQm7U7VJaVmDPDjOBJCiCW7WFSHTw9kAdBN2/NwEnEcESGEWCZKStkAkZCPz+8ZDi9nMS6VNuD5refBGOM6LEIIIcSmFFTLkFZSDwGfh6mxPlyHQwixUEq1Fs/+eg4aLcPswX6YPdif65AIIcRiUVLKRvi62uPze+Ih5POw43wJvj6cw3VIhBBCiE0xVEklhLnDnaoeCCHt+OxAJi6VNsDd0Q6v3zyI63AIIcSiUVLKhiSEeWDlDQMAAGv+ScOxzEqOIyKEEEJsh2FBEZq6Rwhpz8WiOnyyLxMA8NrNg+DlLOY4IkIIsWyUlLIxC8eEYl58ILQMWPZjMopqm7gOiRBCCLF6NVIlTuVWAwCuG+DLcTSEEEvUpNTgyZ+SodYyzBzohxuH0LQ9QgjpDCWlbAyPx8ObcwdjUKArqqVKLNl0GnKVhuuwCCGEEKu291I5tAwY4O+KYA9HrsMhhFigN3emIatCCh8XMd6cNxg8Ho/rkAghxOJRUsoG2dsJ8MU9w+HuaIcLRXV4adsFanxOCCGEXAPj1L2BVCVFCGlrb1oZNh3PAwC8e1scrbZHCCFdREkpGxXk7ohP7oqHgM/DtuQifHEwm+uQCCGEEKvUpNTgUEYFAOonRQhpq6JBgee3ngcAPDQ+HBOivDmOiBBCrIfNJ6V++eUXzJgxA9OmTUNCQgLmz5+P7Oy+kaAZ188Lq27UNT5/e9cl41leQgghhHTdwfRyyFVaBLk7oL+/C9fhEEIsCGMMz289hyqpErF+Lnju+hiuQyKEEKti80mpe+65B88++yz27t2LEydOwMXFBTNnzoRcLuc6tF6xcEwY7hkdAsaAp34+i9Tieq5DIoQQQqzKjvMlAIDZg/2pRwwhpIVvjuZi/+UKiIR8fHjHMNjbCbgOiRBCrIrNJ6VuvvlmzJgxAwDA5/OxbNkyZGRk4MyZMxxH1ntW3TgQ4/p5QqbUYPH3SahoUHAdEiGEEGIVmpQa7E0rBwDMGUwraRFCrjidV4M1O9MAAC/P6Y8YP6qkJISQ7rL5pNSvv/7a4rK9vT0AQKlUchEOJ+wEfHx213BEeDmhqLYJj2xKohX5CCGEkC7Yf7kcTSoNgtwdMCRIwnU4hBALUS1VYtkPZ6DWMswZ4o97R4dyHRIhhFglm09KtZaYmIiAgACMGzeO61B6lcTRDl/fNwKu9kKcya/Fi7QiHyGEENKpvy/opu7NGUJT9wghOlotwzO/nEVJnRwRXk5YO38IjQ+EEHKVhFwH0JsUCgXWrVuHjz76CHZ2du3uo1Bcmd5WX287PZgivJ3x2d3Dcd/Gk/g9uQjhXk54YloU12ER0ufY8jhDiC2RKdXYp5+6d8PgAI6j6ToaYwjpWZ8fzMKByxUQC/n49O54OIv71FcqADTOEELMp09VSj3yyCNYsGAB5s+f3+4+a9asgUQiMf4EBwf3YoQ9b3yUF167aSAA4L3/0rH1dCHHERHS99j6OEOIrdh/qQJNKg1CPBwxKNCV63C6jMYYQnrOscxKvLv7MgDgfzcPQn9/6xkbzInGGduSXdGID/dkILO8ketQjAprZPhobwZSiuu4DoX0MB7rI3O4li9fjsrKSnz11VcdlteayvoHBwejrq4Orq6280fnrX8u4YuDWRDyedj4QAImRHlzHRIhVqO+vh4SieSqx4W+Ms4QYu0e23IaOy+U4tHJkXhhZmyv3S+NMYRYpoJqGW785AhqZSosGB6Ed26N4zqkq0bjDDFQabSY9PZ+FNfJEejmgL3/N4nzVSS1WoY5Hx9BWkk9XOyFOLZ8KlzsTc90Iparq+NMn6iUWrt2LXJzc/Hll1+Cx+Ph9OnTOH36tMl9xWIxXF1dW/zYouevj8FNcQFQaxke3XwGqcVUcktIb+kr4wwh1kyqUGPfJetcdY/GGELMT6pQY/H3SaiVqRAXJMHqWwZxHRKnaJyxHXvTylBcJwcAFNU24d+LpRxHBBzPrkJaie77aYNcjT/OFnMcEelJNp+U+uKLL7Bp0yY8+eSTOHPmDJKSkrB9+3ZcuHCB69A4xefzsO7WIRgd4YFGhRoPfHsSxbVNXIdFCCGEWIQ9aWWQq7QI9XTEwAD6skVIX2ZobH6ptAHeLmKsv3cE55UkhHSkTqZCg1zVpX0Ts6paXN6rPyHDpUMZlS0uH8mo6NL1ZEo1qqXKngiJ9CCbTko1NDRg6dKlSElJwdixY5GQkICEhAS89tprXIdmEcRCAdbfOwJRPs4oq1fg/o0nUdfUtcGLEEIIsWW/JxcBAG6OC6BVtQjp4z7el4ldKWUQCfj44p7h8JPYcx0SIe3KqZRi/Np9mPD2fuRWSjvdP7mgFgBw7+hQAMDJnKoO9u4dRzJ1SaiFY3Qxncqt6XTl+DqZCte9dwij1+xFcn5Nj8dIzMeml4pwcXGBRqPhOgyLJnGww7cPjsTcT48ivawRj2xKwrcPjKSzP4QQi9aoUCOtpB5FNU2oaFCgtkl3VozP40HiYAdvFzEC3BwQ4+cCV+pBQLqpokGBw/qztHPjgziOhhDCpX8ulOD9PekAgNW3DMLwUHeOIyKkYz+dzEeDQq37/6kCLJ/Vfk9EuUpjbONy75hQbDmRh7J6Bcrq5fB15Sb5qlBfiWnR+AhsPp6HaqkSFQ0K+HQQ06+nC1Ckn/mz4UgOPrmL3qvWwqaTUqRrAt0csPGBBNy+/jiOZ1fj8R+T8fnd8RAKbLqQjhBiRRRqDY5lVWH/pXIcyahEdhfO/BkEezggIdQDE6K9ML6fN7xdxD0YKbEF288VQ6NlGBrshnAvJ67DIYRw5HReDZ76+SwA4P6xYbgtgVaYI5ZvX7Ppd4fSKzpMSmWWN0KtZfBwEiHKxxn9fJyRXtaIC4V18B3ATVIqr0oGLQNc7IUI9nBAiIcjcqtkyCxv7DAp1XzK38mcajDGqNLZSlBSigAABgZI8OXC4bh/4yn8l1qG5dsu4O35Q8Dn0xuZEMKdrIpG/HAiH7+dKUStrOX0Yn+JPcK9nODtIoabgx14PB4YY6iRqVDeIEdelQwldXIUVDehoLoI25KLwOMBo8M9MXdYIGYO9qMqKmKSYere3GGBHEdCCOFKbqUUi79PgkKtxdRYH7w8pz/XIRHSKblKg6yKRuPlS6X1kKs07c6CydGf5Av3cgKPx8PgQDddUqqoDtMH+PZKzK1llevij/B2Bo/HQz8fZ11SqqIRY/t5mbwOYwwXCmuNl8sbFCisaUKwh2NvhEyuESWliNHYSC98cucwPLrlDLaeLoTEwQ4vz+lPGWZCSK/LLG/EB3vS8feFEhhaCPi6ijE11hdTY30QH+IGT+fOK55qZUpcLKrHsaxKHM6oxIWiOiRmVyExuwqvbk/BbSOCcf/YMIRRNQzRyyxvwIWiOgj5PNwYF8B1OIQQDtRIlXjg21OolioxKNAVH985jGYQEE5lVTTiWFYVbhkaAJcOTqillzVAywAPJxHUGi3q5WpkV0gxoJ0FOww9p8I8dZ+DYv1cAACZzRJbvc1QDR/prYupn48L9qSVI7O8/ZjKGxSokakg4PMQ7O6A3CoZsioaO0xKyVUa/Hm2CMNDPdDPx9m8D4J0CyWlSAszBvph7fwhePbXc9hwJAfujnZYNjWK67AIIX1EXZMK63Zdwg8n8qHVJ6Omxfrg7tEhmBTtA0E3qzfdHEUYH+WF8VFeeH4mUFgjw59ni/F7chEyyxvx7bFcfJeYi1mD/PDMddHo5+PSA4+KWJNtZ3RVUpNjvOHhJOI4GkJIb5OrNFj8fRJyKqUIdHPAN/clwElMX5kId5RqLR7YeAr51TIcyajA+ntHtLtvXpUMANDP2xlaxpCUV4OM8oZ2k1I5VYZKKV3yxpCcyeogAdTTDPcd6e2s/1eXnMrpoHWDoZeUr4sYsX6uyK2SIbtCiskx7d/P/3akYsuJfLiIhTiyfCokDlQ9zxUaYUkbC4YHob5Jhdd3pOKd3emQOIqMqzEQQkhP+fdiCVb+mYKKBgUA4LoBvnh6enS7H6SuRpC7I5ZO6YfHJkfiaGYVvj6SjQOXK7DzQin+vViKefFBeGp6FILcqdy7L9JqGf48WwwAmDuMGpwT0teoNVo88WMykvJq4GIvxMYHEjrsYUNIbziaWYn8al2yaVdKGeqaVO0mUMrq5QAAX4k9HOz4SMqrMSaqTDFWSukrxg2JoOxKKTRa1u2TgeZgmH5oSEYFujsAAIpqmtq9Tmmd7nH7uzkgogtJLJVGi+3ndH/vGxRq7LtURn/3OUR1qMSkB8eH44mp/QAAr/x5EdvOFHIcESHEVslVGrz0+wUs2XwGFQ0KRHg54YfFo/DVwhFmTUg1x+PxMD7KC98+MBL/PjUBMwb4QsuAracLMe3dg/hobwYUalq9ta85kVONotomuIiFmNbfh+twCCG9SKtleOG3C9idWgaRkI8v7x2BaF+qniXcO5Vb3eLyyZzqdvbUTWMDdBVDgW66E2wdJXMK9L8L9biSABIJ+VCqtR1er6cwxpBdYZi+p0uQBRkeR20TmKGnQyvF+kopP4m9ccqeoXrKlItFdaiXq42XDzdrkk56HyWlSLuevi4a940JBWPAs7+ew59ni7gOiRBiY/KrZLjl06P44UQ+eDzg0cmR2PnkBIyNNN3IsifE+rniy4Uj8PtjYzEq3AMKtRbv/ZeOmR8cxqH0il6Lg3Dv16QCAMCcIf7tNoUlhNgexhj+93cqfjtTCAGfh0/uHIYxkZ5ch0UIAOBsQW2Ly2kl9e3ua6yUcrVHkL7CqLDWdKWUUq1FZaMuieXvpqsIFPB5iNBXTWVx0FeqokGBBoUaAj4PIZ665JKfxB48HqBQa1ElVZq8Xom+UipAYg9/iX2LbaaktjqGaSUN5gifXCVKSpF28Xg8rLpxIO4cGQwtA57++Sx2nC/mOixCiI04W1CLuZ8dxaXSBng5i/D9gyPxwsxYzpIBw0Lc8dPDo/HhHUPh7SJGTqUUC785iRe2nkeDXNX5DRCrVtekwt8XSgAAt9Oy74T0KR/uzcDGo7kAgLfnD8GMgX7cBkRIM4ZpaLMH616XXUpKSew7nfZWVi8HY4BIwIdnsx6Kkfq+Uh01Fu8phgbrwe4OEAt1nwdFQj58XHSL27T3WErqdNv9JQ7wlzi02GbKJX0Sas4Qf939ljdApdGa4RGQq0FJKdIhPp+HN24ZjFuHB0HLgCd/Oot/L5ZwHRYhxMr9l1qGO75MRJVUiYEBrtjx+ARMiPLmOizweDzcPDQQe/9vEu4fGwYeD/g5qQAzPziM49lVXIdHetCfZ4ugUGsR4+uCocFuXIdDCOklG47k4IM9GQCAV28cgPnDqa8MsRxNSo2x4md6f18AHfdKKqtvPn1Pl5wprpVDq2077a1Un8DSVSJd6R0Vqa+Uyq7s/aRU66l7BgHGx9JeUkpfKeVmb6z6qpWp0KQ03YrB0KNrYpQX7O34UGkYJ9MViQ4lpUin+Hwe3po/BPOGBUKjZVj2QzJ2p5RyHRYhxEr9c6EEj24+DblKiykx3vjlkTHwk1hWI1lXezu8etNA/LR4NILcHVBU24Q7vzqON3em0Zk0G8QYw48ndVP37hgZ3OLDOSHEdm08moP/7UgFADw9PRr3jwvnOCLSF2RVNOK17Sk40oU+RnnVuiSNq70QQ4LcAACFNaZ7KzHGWkzf85fYQ8DnQanRokI/Ta85Q4LHv9VnsAh9Qiirov3kV08xNjn3aZmUMiTY2usTVVJrSLA5wEUshJNIV2XVXrWUYXuAm4NxcZuCmvYbwhsk59fgte0puFhU1+m+pOsoKUW6RMDnYd2tcbgpLgBqLcPSH85gb1oZ12ERQqzMzgslWPZjMtRahluGBuCrhSMseqntURGe+PepibhzZDAYA748lI3b1ye2e6aOWKeLRfVIK6mHSMjH3GGBXIdDCOkF3xzJwWvbdQmpxyZH4olp/TiOiPQFjDE8suk0Nh7NxUPfnTKuONwew+p44d7Oxh5RjQo1amVt2wo0KtSQ6SuDfFzFEAquTHsz9bnFuGJdq6RUuFfnq9f1FEMizNDXyqCjpJRao0V5w5WeUjweD/5uhil8pvtKlTR77MH641pQ3fFnuyalBg9+ewobj+bi/o2naEEcM6KkFOkyAZ+H926Lw5zB/lBpGJZsPo1/L1LFFLF+RzIqUSsz3TiRmM/+y+V4/MdkaLQM84YF4t3bhkIosPw/Q85iIdbMG4L19w6Hi70QZ/JrMeejwzhITdBtxo+n8gEAMwf6wc1R1MnehBBr982RHLyur5BaOiUSz10fQxWSpFeczqsx9mpSqLX4u5N+vXlVuuqdME9H2NsJjEkmU1U9hql7LvZCOIp0J/wMCadSE8kZY2JGn8AxiPDWJYQqGhS93lMzu71KqQ76Y5U3KKBlgJ2ABy9n3fHpqNl5o0KNBv3Ke34SB+NqfZ1VSu1JK0ONPhlY2ajAvrTyLj8u0jHL/zZALIpQwMcHdwzFnCG6xNTSH87QqnzEqu04X4z7N57Ewm9OolGh7vwK5KqcL6zF0i1noNEy3Dw0AOtujYOAb11fAK4f6Ie/H5+AQYGuqJGpcP/Gk/hgT7rJPg3EesiUavx1Vvel4I6R1OCcEFu3oVlCatmUfnh2BiWkSO85mtmyP2VnJ7ia930CYEygGHoiNVfebOqegaHpd7GJ5Ex70/dc7O3grU9+ZffiFL4mpcZYCdW6p5Sf/jEZjkdzhql4vq724Os/W/q46PY3VFA1V6rf38VeCGexEMGG6XsmjmlzhzNaPleHMzuffkm6hpJSpNvsBHx8ePtQzIvX9Zh66uez+OVUAddhEdJtW08X4gn9VLIILyfYC2lI7An5VTI8+O0pyJQaTIjywroF1peQMgjxdMTWJWNx96gQMAZ8sCcDj/+Y3G4jTWL5/jxbjEaFGqGejhgdTkvAE2KrGGP4aG+GsYfUsin98H8zoikhRXrV2YIaAMC8eN1U8eSCWpP9oQwMPaIMSRnDVLNCExVDZQ2GpJTYuO1KpZSJ6Xv1hilsDm1+F8FBs/OcSikYA9wc7eDh1LJqOaCD6XjFtW2nIRqOQXl92+mRJa2mLQZ7tH9MmztfqOsjNT9etxhCUm51J4+IdFWPfANraGhASUkJams7fpMR6yUU8PHOgjjjF7PnfzuP747lch0WIV22KTEXz/56DloG3JEQbDVTyayNTKnGw5uSUNmoxAB/V3x+z3CIrDz5Z28nwBtzB2Pt/MGwE/Dw94US3Lr+WIdLDxPLxBgz/u26Z1So8QwrIcS2aLUMr+9IxXv/pQMAnpwWRQkp0usYYzhbUAsAuHNkCERCPmplqg6TIYZpd4aklDE5Y6K30pWV964kZ/w6mMZmKpljYJjCl9OLlVLGJuetqqSAK4+jslEBpbrlgjNXemNdSa4ZqsXKTFZWtdzfsG9H/b2alBpk6KddLhwTCgDILG+kvlJmYpZvBgUFBVi3bh2mTJkCd3d3uLm5ISgoCJ6ennBycsLw4cPx3HPP4eTJk+a4O2Ih+HweVt8yCIvG61YqWfVXCr44mMVxVIR0jDGGD/dkYOWfKQCA+8eGYc28wVZbuWPJGGN44bcLuFTaAC9nMb65PwHOFtzUvLtuTwjBlkWj4eEkwsWietz0yVEk59dwHRbphpM51bhU2gB7Oz5uG0FT9wixRWqNFs9uPYeNR3MBAKtuHICnr6OEFOl9ZfUK1MhUEPB5GBIkMVYjGXpMtXcdAPDVJ2UM/Z9MTcczJGd8myWZDImX1kkppVqLSv2KfCaTUl76Ffh6sdm5YapgpLdTm995OokgEvDBWNtEU7H+pKC/W9tKKZNJqVbJOENSqrxB3m5LhrTSemi0DF7OYgwJksDVXggt46YZvC26pqRUfn4+7rnnHkRGRuKFF17AwYMHUVdXB8aY8UculyM5ORnvvvsuxowZg8mTJ+Ps2bNmCp9wjcfjYcWc/nhiqm7Fkrf+uYQ1O9OoxwqxSFotw6t/peD9PVfOlK66cQB9MO0hG47kYPu5Ygj5PHx+T7zxLJctGRnugT+XjkOsnwsqGhS448vj2JVCC0BYi+8T8wAAc4cFQuJox3E0hBBzk6s0WLL5DLadKTIu2PPAuHCuwyJ9VKG+kba/xB5iocBYEWSoEGpNq2XGnkiGxEmAsfLJVMNv/b4uzabvuZludG5I1oiE/DZT5YArlVJX01NKoda0qWbqCsNxiDBRKcXj8YyfI1v3lTIkmQKaVUp5G3tKta1+Kq039NJy0O+rO14qDUNNOwsfGSrGon2dwePxEO3rAgDIKOu96Y227KqTUp999hkGDBiAzMxMvPjii/j9999x8eJFVFRUQCaTQaPRQC6Xo6amBpcuXcK///6LN954A1qtFqNGjcK6devM+TgIh3g8Hp6ZEYMXZ8UCANYfysazv56DStP9wYiQnqJUa/HUz2fxnf5L6Gs3DaQzpT3odF4N1vxzCQCw8oYBSAjz4DiinhPs4Yitj47FtFgfKNRaPLr5NDYfz+M6LNKJkrom/KtPIC4cE8ZtMIQQs6tsVODOr45jT1oZREI+1t8zHPP0vWAI4YJhml6Qvi+UoSKovaRUtUwJlYaBx4Nx1T1j5VNt2wogY1VVi0bnVxI5mmZFA837Kpn6LGxIDOVUNna52KBOpsIzv5zF4FW7EbvyHzy6+bTJRuPt6Wj6HnBlCl9xq6mLhgSdXzs9pVq3E2o9bdFOwIeXsy4xV2aiBxUA5FXpklKhnrrnLMpXF2NGWUOnj4t07qrmUTz22GNITU3FkSNHMHTo0Hb3E4lEEIlEkEgkiI6OxowZM7B8+XKcPXsWy5YtQ35+Pj7++OOrjZ1YmEcmRcLLWYznfzuPbclFqJQq8fnd8XCyoek6xDrJlGos2XwGh9IrIOTz8O5tcbh5aCDXYdmsRoUaT/98Fhotw01xAca597bMWSzE+nuHY+WfF/HjyQK8/MdFlNbJqWeJBdtyPB8aLcPIcA/093flOhxCiBllljfigW9PoqC6CRIHO3x573CMiqCFDAi3DJVSQfrV3iJ9dImN9qbvGaqbPJ3EsNP3PQ3QVz5VSZWQqzSwtxMY9zdUP/k0S0r5uNhDwOdBo2WobFQYE1bGRI6r6Sr2IHcHCPk8yFValNbLjb2s2tMgV+Gur48jpbjeuO2fi6VIKa7H74+NhaezuINr66rCOpq+B1ypEmtd9WVIsLWslNLdn1KjRa1MBfdm1WDGPl3NkljeLvaobFSivEGOAWj7mSBPvzJfqKf+uTNWudH0PXPodqXUc889B29vbxw4cKDDhFRHhg4disOHD0MkEmH16tVXdRvEMs0fHoSv7xsBBzsBDqVX4K6vjqOqsf2mcYT0tMpGBe766gQOpVfAwU6Ar+8bQQmpHvbaXynIr5Yh0M0Bq+cO6jNJGaGAjzfnDsYz10UDAD7Zn4nntp6nqlELpFBr8OPJfAC6vnKEENuRmFWFeZ8dRUF1E0I8HLHtsbGUkCIWoXWlVJi+6iZfn/BozZBkar6ansTBDg76RFTz5AxjzLjSXPP9BXyescqqeV+p0lYr0LVmJ+AjRJ+A6coUvlf/SkVKcT28nEX4dckY7Hh8PII9HJBfLcNTP5/tdPGz4romNKk0sBPwEOzhaHIfPxP9sZRqLSoMvbGa9ZQSCwXGaYllDa2TWLrnIcBEDypTq/UBQG6V7jkK0x+TEH2MhkQjuTbdSkr99ddf8PHxwWuvvXbNd8zj8fDuu+8CAA4dOnTNt0csx5QYH/yweBTcHe1wrrAOC75INJY8EtKbMssbcMunR3G2oBYSBztsXjQKk2N8uA7Lpv1zoQS/ni4Ejwe8d1scXO37Vp8eHo+HJ6ZFYe18XfP8racLsei7JDQpaXUWS/L7mSJUSZXwl9hjxgBfrsMhhJjJ1tOFWPjNCdTL1Rge6o7fHxvb7lQgQq5Web0ca/5Jw1/nirt1vStJKUf9v7okS1m9wuQqboapZM2rmXg8njH5Utysr1StTAWl/iSYt0vLqiRD4qn5in0lxmqh9iugDM3Osys77pt0IrsKv50pBJ8HfH7PcCSEeWBQoARfLRwBezs+DmdUdnqs0vXT4CK9nY1VYa0ZkkjN+2mV1cvBGCAS8OHZqjeWIRnXfEqeVKFGvVwNoOVjN6xYaKoxOtB2+p7hOSzoYOVEU/ZfKseaf9KQ3c6Uzb6qW0mpCRMm4LnnnjNrAC+//DL69+9v1tsk3BsW4o6tj45FoJsDciqluOXToziRXcV1WKQPOZZViXmfHUNhTRNCPR3x+2NjMTzUneuwbFqNVImX/7gIAHh0UmSfPjN9e0IIvl6oqxo9mF6h/5Kk4josAt0UgS8PZQMAHhofDmE7H34JIdZDpdHi1b9S9D1NGW4Y4o8ti0Z1OmWIkO5SabS4Z8MJrD+YjSd+TMafZ4u6fN0r0/d0yRAPJxHs7XR/g0z1iDI09PZtVc0UYKKvlKEayMNJBLFQ0GJ/UyvwGSqlmlcLtRbZxWbnhtXXb08IadFDNNbPFcumXFkMy1TizeByqS5JE6VvIG6KITnXvELMcIz8TPTGMkxVbJ5oMhwDF3thixWhjav1meiBVSdToVam+wxnqJAK8tAd02qpElKFut2YmzucUYEHvj2F9Qezcc/XJ9BAnwuNuvVJzN29/S909fX1UKmu7sB6e3tf1fWIZYv0dsbvj41FXJAENTIV7tlwAltPF3IdFukDtp4uxMINJ5udKR1nciUPYl6r/05DlVSJaF9nPDU9mutwODcl1gebF42Ei70Qp3JraDqzhfgvrQzZlVK42gtxx8gQrsMhhFyjykYF7v76BL49lgsAeGJaFD66Y1iLXjuEmMvOCyVIb7bi2vv/pXc6NQ3QnRAxNNgO1Pdn4vF4xoqbQhMVN2V1htX0WiaO/E00/DZUA/m4tE3E+plYsa/EkMxpp6cUAIR7ddyIHQAuldZj/+UK8HnAIxMj2vx+0YQI+Lnao6ROjm1n2k/gGSqlYnzb/7xuSK4VN0tKGY6BqWmIV6bkdT5t0dCHy9T0PcP0Si9nsbFXsqu9HSQOutkApp47UwzJO8Nj+PlUQZeu1xeY7fTgkCFDMHfu3HZ/n5aWZq67IlbEx9UePz08BrMH+0GlYXj213N4+99LXV7FgZDu0GoZ3tt9Gc/+eg5q7ZUzpaaWuiXmdSSjEr+d0U3be2v+EIiEVH0CAMNDPfDTw6Ph6STCxaJ63LY+sU2DTtJ7GGPGD4X3jgltcZaUEGJ9zhXU4saPj+BkTjWcxUJ8ee9wPHNdNPj8vtHLkPS+HedLAOgqbR1FAuRWyXCusK7T61U0KqDUaCHg81okRAxVU6Z6ExmqdvwkrabjubVNzpSZaN5t3N+YlGqenDEkc9qfvtdZI3YA+PKgrvJ41iB/hHm1bVBubyfAognhAID1B7NarADY3OVSXVIquoNKKcO0xcpGBZRq3VRFY5NzE43Yr1RKXUk0FRtX6mu5v3GqX0PbpJThuQn2aHkdw+Wu9JUqqm3CsSzdrKElkyIBANv1ryVixqSURCJBbGxsu78/duwY3n77bXPdHbEiDiIBPrkzHo9P1ZVvfnYgC0t/OEM9VohZNSrUWLL5ND7alwkAWDolks6U9pImpQYv/X4BALBwdCjiQ2iaZHMDAyT4ZckY+EvskVUhxYIvjlGfPY4k5dUgOb8WIiEf91GDc0KsFmMMW07k4db1iSipkyPC2wl/LB2HGQP9uA6N2LAmpQYH0ysAALeOCMIUfZ/Sg5crOr2uIXHh52rfYtq4oWqqqNZEpZSh+qlVNVOAiconY1N0F1NJKd19GE6KqTRalOuTL6aSWAb9/V3B4+kSP+UmprUV1TYZe0U9MqltlZTBnSND4OZoh9wqGXallLb5vUqjRaa+GqujpJSHowgiAR+MwRiPoU+WqcdxpaeUiWmLrfb3NVZKmX6cwJXnyiDITd9Xqp1G9c3tv1QOxoCRYR54YFwYAOB8YS0qqYIegBmTUl988QXy8/Oh1ZpeZeihhx5CbW0tXnzxRXPdJbEifD4P/zcjBu/dFgeRgI9/LpZi3ufHkF9FKxaQa5dTKcXcT49id2oZRAI+1i0Ygueuj6Uzpb3k84NZyK+WwV9ij+dmtn9yoi+L9HbGr0vGIMzTEYU1Tbj1i0TjWUHSe9brq6TmxwfBx8QHd0KI5auXq7Dsh2Ss+P0ilGotpvf3xR9Lx6GfD03TJz0ruaAGSrUWfq72iPF1wehIXe/MEzmd981tvfKeQUfT98rbSTQZKqVM9ZRqvvLelf1bVkqVNyjAGGAn4LVpDt6cs1iIKP376nxB22qwDYdzoNYyjI30xJAgt3Zvx0ksxL2jQwEAXx/ObvP7y6UNUKq1cLEXGns2mcLn85pNRdQ9luJ2kkxAsyl5zaqfSupMJ7F8m+3bekaP4bkJdDddKdWVZucncqoBAGP7ecLX1R4DA1zBmG6mATFjUmrMmDFYvnw5HnzwQeTl5Rm3NzQ0YOfOnXj22Wfx9ddf4/PPPzfXXRIrNC8+CFsWj4KXswhpJfW48ZMj2H+5nOuwiBXbf7kcN31yBBnljfB1FePnR0bj1hHBXIfVZxTWyIxf9F+5YQBNh+pAkLsjflkyBrF+LihvUOD2LxNxvrCW67D6jJTiOuxJKwePBzxsou8FIcTynS2oxZyPDuPvCyUQ8nlYMbs/vrx3eJ9b6ZVwIym3BgCQEO4BHo+H0eG6pt5n8muM08na03rlPYPAdqbvqTRaVEmVANommgwJmOI6Ez2lTPSIMkzfK6uXQ6NlxuoiX1f7Tk/gxumTTedafV6plSnx06l8AMAj+uloHbl3TChEAj7O5NfidF5Ni98lF+hue2iwW6fxtE5KtXdcAdPVT8bpfq2m73k5i8DnARotQ6W0ZfWSoVIqqFWllLHKrZOkFGMMJ/WJy5H618xo/WJAZ/Jr2r1eX2LWph/x8fF47LHHMHPmTCxcuBAJCQnw9PTEjTfeiPfeew/V1dW48847zXmXXfL7779jxIgRmDBhAiZNmoSUlJRej4FckRDmge2Pj8fQYDfUNanw4Len8PHeDOozRbpFq2X4dH8mHvz2FBr0Dc23Pz4ew2jqWK9a888lKNRajI7wwMxBNG2iMz4u9vjp4dEYGuyGWpkKd311Aqdyq7kOq0/4YE8GAOCmuABj81ZCiHXQahm+OpSNBZ8fQ0F1E4LcHfDrkjFYPDGCqqJJrzEkUxLCdJ81+/k4Q+JgB7lKa2zU3Z7WK+8ZGC63TmxU6Kt77AQ8uDu2rGYyVEo1yNVo1K/8ZqyqMpGU8nGxh4DPg1rLUNmoQJ5+pkpHVUkGQ4LdAOgSws1tPp4HmVKD/v6umBjl1ent+LjY4+ahAQCADUdaVksl649rVz7DG/tj1TaBMWacOte63xPQrNF5s+qn0nZ6bwkFfHjpV+ssq2uVlGqnUipQnwgzNfWyuYpGBcrqFeDxgGHBusc4tJ3j2leZLSn1+uuvw9fXF2PGjMHly5exefNmnD59Gn5+fnj00Ufx888/o7S0tNcrpU6ePImFCxdiy5YtOHz4MB566CFcf/31aGigaRNc8pc44OdHRuOuUSFgDHj3v3Q8vCkJdU20NCbpXI1UiUXfJ2HdrstgTDdX/cfFo2k6Ti87kV2Fv8+XgM8DXrlhYJuleIlpbo4ibF40CqPCPdCoUGPhhpNUvt3DLhbV4b/UMvB5wONTo7gOhxDSDQXVMtz19XG8sTMNai3D7MF++PuJCXQSivQ6Q+JpYIAEgG71vAH+rgCA1JL6Dq/b7vQ9fYKptF7eotrK0AfJx6VtNZOzWAhXe11luqHqqdS4f9vpewI+z7i9pE5u7GsZ6tn5CZoRobr3WVJuDeQqXT9guUpjXO1yyaSILn/+WzRBV6X878VSYzJJq2U4kqn7DGRI9nXE0B+rqLYJtTKVMSlnqlLKy1kMHg9QaxmqZbqqs45W6zMkqkpb9ZW60lOqVZVbB/3AmsvQr9YY6uEIB5Gu160hKZVWUm88rn2Z2ZJSa9euRXV1NcaMGYMXXngB27dvx6VLlzBmzBhMmDABt956K7y8Os+imtvatWsxe/ZsxMTEAADuueceqNVqfPfdd70eC2lJLBTgzbmD8bZ+pa49aeW48eMjOEcZY9KB03k1mPPRYey7VA6RkI835w7GmnmDabW3XqbVMry+IxWALik4IMCV44isi7NYiG8fGIlJ0d5oUmnw4LensCe1jOuwbNYHe9IB6KqkqO8MIdaBMYafT+Vj1oeHcTy7Gg52ArwxdxA+vSveuBQ7Ib2lUaE2Tv1q/nfE8PkntbjjpFR71TZezmKIhHxoGVqszntlOl7bJBNwZbW54jp5i8blplahA5pNe6ttQq6+UirMs/NKqVg/F/hL7NGk0iAxWzcFbcuJfFQ2KhHo5oDZg/07vQ2DGD8XTIjygpYB3xzNAQCkFNejvEEBJ5HAOLWtIxH6SufsCiny9YktHxexyYWN7AR8eDpdaXYuVahRL9clsfw7WK2veVKqUaE2Fk20rZTSXa6WKiFTqtuN2ZDMjGrWxD3I3QHujnZQaViHqxv2FWb7FpeQkIDMzEwcOXIEa9aswZw5cxAdHY2ff/4ZZWVl+L//+z+oVL1fBbN3714kJCQYL/P5fAwfPhx79uzp1u1IpVIwdmV6mVKphFQqhUKhaLOfVCpt0fBdpVJBKpVCLpdf9b4ymQxSqRQazZVMqlqthlQqRVNT01Xv29TUBKlUCrX6yhtJo9F0e1+ZrOU8aLlcDqlU2uI5b2/fmwZ74/uFQ+DvYof8ahnmf34MXxzIQENDI6TSlitUKRQKSKVSKJVK4zatVms8lp3tyxgz7mvq+ezOvl157s3xOjH1fJrjdWJ4Pq/1ddL6+bzW10l7z2dTUxM+2XURt312GMV1coR7OeG3JaNx8yDPbj/33dm3K8+9uVjTOLP1RBYu5JbD2Y6HZ66L7nBfSxhnuvNa661xxkEkwPp74zG1nyvkTTI8sikJ2/Wr2NA4o2OOcSYpswy7z+WDp1XjiWm6Kqn2ns9rfZ2Yc5zpCdY0xljbZxlLHGO6sq+ljjE5JVV4YOMJvPDbBTQq1Bge7IJti+Mxb4hPi6oMSxhjuvPcW9IYQ59lurdvSn4FtEo5vByFxqSoRqNBhJsQWpWiRaVU69ePVstQUN2ou36rHJNSqYC/I8A0auMUP41Gg4LyamhV8hZNzpu/fgyVPkXVUmQXV0GjkEMk5Bsbl7d+TQRIHMCYFrml1cgq1lUmGSqlOnr9yGQyTI31BgBsPV2IqnopPt51AUyjwuNT+8FOwO/Wa23xhAholXL8eDQDJbUy/Hm2CAAwNtwNaoW809dJpI8zmEaNy4UVyCrVtT8wTEM09Xx6OwmgVcpRWFFnrFZzc7QDX6Nss6+Pk1C3b3mtcVtRTRO0KgVcBBo4CK+MPWq1GkKtEk4CjXE/U889AFwqroNWKUeY5ErijMfjIcJdBK1SjtTCK32l+uw4w8zk7bffZk1NTe3+/uzZs2zBggWsoqLCXHfZqcrKSgaAbdq0qcX2Bx98kA0ePNjkdeRyOaurqzP+FBQUMAAMACsvLzfut3r1agaALVq0qMX1HR0dGQCWk5Nj3Pb+++8zAOyuu+5qsa+XlxcDwC5evGjc9uWXXzIA7Oabb26xb2hoKAPATp48ady2efNmBoBNnz69xb4DBgxgANj+/fuN237//XcGgI0dO7bFviNGjGAA2I4dO4zbdu/ezQCwuLi4FvtOmjSJAWC//PKLcduRI0cYANavX78W+86ePZsBYBs3bjRuS05OZgBYQEBAi30XLFjAALB1733IlmxKYqEv7GABi9czAMxVImmx73333ccAsLffftu4rbCwkAFgQqGwxb6PPfYYA8BWrVpl3FZTU2N8PpVKpXH7s88+ywCwZ5991rhNqVQa962pqTFuX7VqFQPAHnvssRb3JxQKGQBWWFho3Pb2228zAOy+++5rsa9EImEAWHp6unHbJ598wgCwBQsWtNg3ICCAAWDJycnGbRs3bmQA2OzZs1vs269fPwaAHTlyxLjtl19+YQDYpEmTWuwbFxfHALDdu3cbt+3YsYMBYCNGjGix79ixYxkA9vvvvxu37d+/nwFgAwYMaLHv9OnTGQC2efNm47aTJ08yACw0NLTFvjfffDMDwL788kvjtosXLzIAzMvLy7itskHOIkdfzwAw96mL2dItp1l9k5Ll5OQwAMzR0bHF7S5atIgBYKtXrzZuKy8vNz6fzT355JMMAHvppZeM2xobG437NjY2Gre/9NJLDABbsmQJA8Dq6urY1bD2cUap1jBHX92+T7x7ZXy1hnHmk08+MW5LT09nAJjEQsaZ4Cd/YuHLd7CfT+XTOKNnjnEmaOhE3Wt48UrjNlPjDGOM3XXXXQwAe//9943buBpn+vIYw5j1fpax5DHGGj7LaDRa5hsUxgAw37vfZlErdrIvD2axn3762WLHmK5+lmHMssaYvv5ZhrHujTORA4YwAGzCsnXGbYZxxs4nnA1a9S/TarWMsbbjTFldE/O9++0OxxnP2U+xn0/lM8aujDMCZw/2yh8XjPs2H2de3Haehb6wgy3fuIsBYDyxE5u87srjaD3OvPl3Kgt87Fvdc8QXsNAXdrDUYt1z39k4cy6vkoW+sIOFLd/BIqbewQCwoIm3MaVawxjr3jij1WoZjy/QvZ9XbWUxL+9koS/sYA8/u7JL40ytVMk8rtO9dgeNm8FCX9jBnv45mTFmepwZ96DudoeOncL2pJay0Bd2sDkfHTL5WebBVz7UPbYBw43b9qaVMjuf8HbHGdfgGBb6wg6271IZY8z0ODPhqY91n/Miols8tvC40QwAu/XZtcZtfXWcMVul1MKFCzvMhMXFxWH48OG4/fbbzXWXnTJkGMXililpsVjcJvtosGbNGkgkEuNPcDCt4tVbHEQCfHZ3PN6YO8g4FUuqUONwRgXHkREu7Uktw/UfHEKJvpR2zhA/fHznMLhY8Uo71j7O/JpUCJWaAQBmDup62Tbp2PzhQdAy4Pmt56nxpZkczqgwrl40rb8Px9H0HmsfY0jflF7WgNvWJ6JKv/JVPx8n7Hh8PDUzt1B9bZxRqHSVOv6SttO+eNA1HS+uk7f5HQAUdLI6m0Ghif1MraYHXFmBr6LZVLMAt/Z7q8b6u7S4bCfgIcK7a4t+9Pd3xZwh/mAMqGzU/U2dEusDO0H3Uwk8Hg8C/fs5s6IRcpUWI8M9EOndtan1Ekc7OOlXejYcb0NfL5P766valGrtlaboJvpPtd7XoLOV9QzfWdvbjzGGAn0FXOtWI04ifV+wdl43fQmPsWZ1Vj1s0KBByMnJ6bGy9Naqqqrg5eWFTZs24Z577jFuf+ihh3Dq1CmcP3++zXUUCkWL5Fp9fT2Cg4NRXFwMPz8/Y8mwUqmESqWCUChskfQyPDYHBwfw+boXnkqlglKphEAggL29/VXtK5PJwBiDvb09BAJd6Z9arYZCoQCfz4eDg8NV7dvU1AStVguxWAyhUPfG0Gg0kMvl3dqXx+PB0fHKG1wul0Oj0UAkEsHOzq7b+6YV12Hpd4nIrJCCL7LHvaNDsXxWLITQQK1Ww87ODiKRrjxVq9UaS2ydnK4MrgqFos2+jDFjQtLR0bHN89mdfbvy3JvjdWLq+TTH68TwfF7r66T183mtrxPD8ylVqPH+gTz8eLIAANDPQ4S35g1CXKhXm327+9xf6+tEJpPBx8cHdXV1cHXtfi8lax5n5CoNJq87gOKqWrw0KxaLp8Ra7TjTnddPb4wzDg4OWP33JXxzNAdMo8LTUyPx6NRoGmeucpzRaBlu+PgIUgsqcc+oILx6y9BOn/trfZ2Ya5ypqqpCQEBAnxxjrmZfGmOs+7OMSgt8dawA6w9mQ61lsOep8OTUKDw0OQYiO2GXnntL/SzT+vm0lDGmr3+WuZp9H/z6CPaklmHVzUPw0CTdVHDDa+LmT44hs0aJjfcnYEqsT5vXz59ni/DED6cxPMgZmxeNbvP6+WxfOj7cn4P5CaF477ah0Gg0uGf9YRzNqsK7d47ErSOCjfsaXj9/nS/D//16DuMiPDAswBEf7cvE7WP6Yd2tccbnp/lr4nJpA2a8fwBMpUsqDY3wxV/LxpvcF2j7+pEpNXjvv3TkltfhrhEBmBDrf03jzIXCWnx3shgezvZ4dkYMnOzQ5dfJvV8ew8FLJeDx+eAJRfhh0SiM7edl8vlc908KPv7vEu4YFQpXJ0d8fSQHiyeE4+kpYW323Z9Wgvu+OoYoXxfsfWEGAGDNP2n4fE8a7hkVjP/Nj2/zOnnj7zT8cKYMj06OxAszY9s896V1cox6Yzf4WjXOvHId3F2vJAePXi7CneuPw9/dBSdWzmjxmupr44yw3d+YsHfvXsTHx8Pd/epWu3jwwQeND8CguroaZ8+exdSpU6/qNjvi6ekJiUSC0tLSFttLS0sRERFh8jpisbhNZRWge0Kaz2EXiURtHothv9bs7OyML4ir3bf5i9JAKBQa/1Be7b7NB1sDgUBgMrbu7Nv8j8PV7Ns/QIK//+86vLkzDZuO52HT8TwcTK/AO7fGtWmCx+fzTd6uqeeSx+OZ3NfU89mdfQHTz6c5Xiemnk9zvE5MPZ+W8Drh8/m4VKnEM7+cRV6VDDwesGh8OP5vRkybJobmeO6v5nXSfP751bDmcWZTYh5K6+UI9nbHA5OvJKRM7WtgqeNMd14/vTXOrLyhP5zFAny0LxMfHMyHRiDCM9dFG18XNM50fd8/kouQVlIPV2dHPDs7rsVjae/5vNbXibnGGVPbu8Oax5ir2ZfGGB1r+ywjFAqx93IV3tyZZmxYPL2/L16/eWCbZs2WOMYYdOe5t5Qxpq9/lrmafXPr1OCL7BETcOV7sOE10T/EC5k1xbhc1oApsT5tXj+FNU3g8QUI8/Noc5/29vaIDPAET1BgrJQSCASoUvDAt7M3Nt827Gvgr6+KKmlQIFjhBL7IvsX7pvXz08/HGV7O9qiS6hI7I0I92t0XaPv6cRILsfKGAW2Oi6l9DTp67kfHOGF0TGCb/U3t29q4GF8czq7RxS7kI06/kp2p5zPAwxl8kT2qmhjqlLpxJsjd0eS+Qfp9K5qu1OwU1TSBbydGhL+nyc+8YX7uAMqMlVKtn/v0sgbw+AKE+7q2SEgBwOBQH/BF9iiTqlDXpILEwa7PjjPdqrkbMmQI7r77blRXV3fnakbPPPMMli1bZrxcUVGBBQsWGFfG6wlTp05FUlKS8TJjDGfOnMH06dN77D6JeTiIBPjfLYOw+aFRCJDYI79ahtu/TMTqHam0dKaNkinVeH17KhZ8cQx5VTIESOyxZdEorJgzwOSqGqR3yZRqfH4wCwDw5PQoiIX0nJgbj8fDMzNi8MLMWADAx/sysfrvNPRiUbNNkKs0eHf3ZQDAY5P7wd2p7QddQgh3LpXW4+6vT2DJ5tPIr5bB11WML+6Jx1cLh7e7ehghXFGqtcjTr1gX6dP2C3iMr27qWXppg8nrF9XqEhZB7UwbM2w3JDYYY+2u1mcQoJ9GWFIrN67e1tF0PAGfh1mD/YyX5w4LbHdfS3f9QD8Y8p5TYnyM0/lMCfXQr9ZXKUV2ha7qKrSdVQd99VMi6+VqNCn1Dcz1z11gO+NSoJtji/1aM6y8F+Pr0uZ3rvZ28HHRJXlyKntnJpml6lallLe3N5YvX46JEydi8+bNGDp06FXf8dGjR/HAAw/g008/RWBgz70pli9fjunTpyM9PR3R0dHYsmULBAIB7rvvvh67T2Je46O88O/TE7F6Ryp+SSrE10dysPdSOd64ZRDG9vPiOjxiJgfTK7Di9wvGs0TzhgVi1U0DadlnC/LTyQJUS5UI8XDEPCv+MGMNHp0cCUeRAKv+SsGGIzmQKdVYfctgYx8G0rHPD2ShuE4Of4k9HhgXxnU4hBC9aqkS7/+Xji0n8qBluh4rD0+IwKOTIzv8YkkIl/KrpdBoGZzFQviZ6PEUrU84XC4znZQyfLYNaiexEaxPPJXUNUGl0aJBroZUnxRpLxniJ7EHjwc0qTRIyqtpEUd7np0RAyGfjwhvJwwOknS4ryUL93LCu7fG4VRuDZ6aHtXhvtF+uoRh86RP/3Z6ULmIhXAUCSBTalBS14QIb2fjc9dectCwvb2eUoakVFQ7z024lxPKGxTIrmjEUH3FV1/U7dF/4sSJWLt2LaZMmYKFCxfiiSeeQGRkZJevf/z4cXz88cfYuXMnNm/ejOuuu667IXTLyJEj8d133+Guu+4yzkXdtWsXXFw6ftMSy+Jqb4e3F8Rh5iA/LP/tAnIqpbjr6xOYNywQK+b0h6dz2/JhYh1qpEr8b0cqtiXrloQNdHPA6rmDMCWm7zQltgYKtQZfHsoGoEuYCK+iuSXpnvvGhsFBJMDy387jx5MFaFJq8M6tcXTsO5FXJTVW9L1MVZaEWASZUo2NR3Ox/mAW6uW6pdJnD/bDi7P6I9jDdNUCIZbCUIkU6d1yaqKBIRmUUd4IjZa1OYFUWGOYNmY6seHlLIZIyIdSrUVJrRw1Ml3fJx8Xcbt/w+ztBIj2cTEmwgT8zhuXuzmK8OpNAzvcx1rMiw/CvPigTvfzdhbD3dEONTIVAMDN8Up1Ums8Hg/B7o64XNaAvGoZvF3EqGjQ9U0L9zJ9bA1Jw7IGOZRqbZtm5ullutdOtK/pRu4R3s44kVNNlVLdvUJWVhaOHj2K7du349FHH8Unn3yC6OhoxMfHIyIiAj4+PnB0dIRQKIRCoUBDQwOKi4tx+fJlnDp1CpWVlRg7diwSExMRGxvbE4+pjblz52Lu3Lm9cl+kZ02N9cWe//PAO7suY9PxPGxLLsK+y+V4cVYsbh0eTKuzWBGNluHXpAK8vesyqqVK8HjAfWPC8Nz1MXS21AJtO1OE0no5/FztMS+eqqR6y20jguFgJ8DTP5/FH2eL0aTS4KM7h9HUyXYwxrDqrxQo1VqM7+eF2c2mKhBCep9SrcVPp/Lx0d5MVDbqvtz193fFqhsHYHSEJ8fREdI1V5JSphMLwR6OsLfjQ67SIq9Kiohm+zWfitfe9D0+n4cQD0dkljcip0qKBrnKeLsdiQ91Myal4kPc6LOBCTweD6PCPfFviq7H9KhwD5OJRYNQT31SqlIKT/3Uf28Xcburfns5iyAW8qFQa1FaJ0dIs6mBjDHja8fU9D1Al+gEYJxa2Fd1+5vf3XffjVOnTsHZ2RlnzpzB+vXr8f777+PHH38EAJNPsqEXxtixY/H5559j3rx51xg26ctc7e3w+s2DMC8+CC9uu4C0knq88NsF/JJUiFduGGBsdkcs1+m8Grz6VwouFNUB0J09eGv+EMSHXN0iCqRnqTVafKGvPFk8MYI+9PSyG+MC4GAnwGNbzmBXShke/v40vrhnOBxE9Dy09l9qGQ5croCdgIfXbh7Y4QdPQkjP0WgZ/jxbhPf3pKOgWveFPMTDEc9cF40b4wJoKjKxKln6hEGkj+mklIDPQ5SPCy4U1SG9rLFFUqqiUQGFWgs+Tzflrj1RPs7ILG9ERlkDVBrdd+fgdiqrDK4f6Gdcpfr6gXQSpj3XD/I1JqVmDfLvcF9DRVRulczYj7K9KilAl/sIdHNAdqUUhbWyFkmp4jo5GhVq2Al4CGvnNgy3nU2VUt3Tv39/rFixApMnT4adnR2WLVuGZcuWISkpCYcOHUJKSgrKy8shl8vh7OyMoKAgDB06FDNmzEBwcHBPPAbSRw0NdsP2ZePw7bFcvPdfOk7n1eDmT49iXnwgnr8+tsOBn3CjvEGOt/65hG1ndFP1XMRCPDk9CveNDYMdTUmyWH9fKEFelQweTiLcOZLGcS5MH+CLb+5PwOLvk3AwvQL3bzyJDfcnwJmqCo0a5Cq8+lcKAGDxhIh2z2gTQnqOUq3FH8lF+PxglnE6ireLGE9M7YfbE0LaTG0hpCcxxqDUaK/5ZJqh2qVfO0kpQDeFT5eUasDMQVcSRIakrJ+rfYev/yhfF/xzsRQZZY1g0CWlQjqplJoU7Y2VNwxAk1KNe8eEdvnx9DU3xQWiqlGJJqUGN8UFdLivIXmUUyk19rWN6CApBej6SmVXStv0lTI0vg/3cmr3e44hgZlT2Qitll3TrB+FWgORgG+VJ+S6/WlWoVBg1qxZbZbKXL16Nf744w9zxUVIlwgFfCyaEIEbhgTg7V26ZMe2M0X450IplkyKxMMTI6iawAI0yFX46lA2vj6SA5m+ceOtw4Pw/MxYeLczr5tYBsYYvjio6yX14LgwOIooCcKV8VFe+P6hkXhw4ymcyKnGPV+fwHcPjITEkRYDAIA3d6ahuE6OYA8HLJvaj+twCOlT5CoNfkkqwPqD2cZVqNwc7bB4QgQeoL8dhAMXi+rwxE/JyK6QYnKMN967bSg8rmIlVq2WIaui86RUjL6hdutm53lVhhXfOk5sGHoOpZc3QKtl+ts03ZDbgMfj4aHx4R3uQ3SVbIsmRHRpX8PKfNmVjRDrk4gdPe/Alb5SrVfg66zJOaDrMybk8yBXaVFSL2+3sX1HmpQaLN92Hn+dK0aAxAFvLxiCcVa2GFi3T1dMnjwZkyZNwqFDh1psLyoqMltQhHSXn8Qe7902FH8uHYfhoe5oUmnw/p50THh7P749mgOFWsN1iH2SQq3BN0dyMGndAXy0LxMypQZDg93w+2Njse7WOEpIWYHE7CqkldTDwU6Ae0eHcR1On5cQ5oEti0fBzdEOZwtqccdXx419WvqyQ+kVxikMb8+Poy/AhPSSOpkKnx/Iwvi1+/HKnykoqm2Cl7MYL82OxdEXpmLplH70fiS9rqxejoXfnDT26TlwuQLLfjgDjT7Z0x0l9XLIlBoI9X2f2mNodm6ojjHIq9I1OQ/17LjqKdZPd/2U4nqkltTrtvnTwly9bYB+Zb6C6iYcTK8AAAwJcuvwOoZEUmHrSqmyjvtJAYCdgG+c8pdzlX2lntt6Dn+eLQZjusTYQ9+dQrY+kWotup2UevjhhzF+/HhMnjwZoaGheOSRR7Bx40ZotdqeiI+QbokLdsPWJWPw8Z3DEOTugMpGBV7dnoqp7xzEz6fyodLQ67Q3qDRa/JJUgGnvHsTrO1JRLVUiwssJX9wTj98fG4th1DvKanxzJAcAcOuIIKrIsRBDgtzw08Oj4eUsRlpJPW5fn4jSOjnXYXGmQa7C8t/OAwDuGxOKMZHUPJmQnpZV0YiX/7iA0Wv2Yu2/l1DZqECgmwNev3kgjrwwBQ9PjKRFSwhn1uxMQ7VUiQH+rtiyaBQc7AQ4llWFv851v4giSz91L6yDKVgAEKNPKuVUSlucDO9qpVSElzM8nERQqrVQaRgkDnYI6+Q6xPzcHEXG6XoKtRYCPg+DAjuuWAvU9/5qPX0vo1yXoGxv5T2DCC/d77Mru59IOphegR3nSyDg87DhvhEYG+kJuUqLV/5M6fZtcemqJnavXbsWhw4dQmxsLL7++mssWrQIZ8+ehZeXF2644Qa88cYb2LdvHxobrStDR2wDj8fDjXEB2Pd/k/G/WwbB11WMotomvPDbBVz33kH8dDKfKqd6iFylwabjeZi87gCe33oehTVN8HERY828wdj99ETMHORvlfOc+6qcSin2XioHANw/NozbYEgLsX6u+OWR0fCX2COrQooFXxwz9rzoSxhjWPVnCorr5AjxcMQLs3pnVV9C+iLGGI5kVOKBjScx7d2D2Hw8H00qDWL9XPD2giHY/+xkLBwT1u4S9oT0hoJqGf48VwwAWDtfN43JMKX7wz0ZxqlxXWXsJ9VJn0I/V3u42Auh1jJjPzVA1zAbAMI6qZTi83kY32zK1fgoL1oQgCMTo72N/x8b6dlptaep6XtqjRaXSw1JqY4r3iKuYQW+Lw7oFiK6b0wYpvX3xdr5QyDk83AksxJn8mu6fXtcuepug+PHj8euXbuQmZmJ1157DUKhEPX19di5cydWrlyJ6667Du7u7hg6dCgeffRRfP/998jNzTVj6IR0TCTk497RoTj43BS8PKc/PJxEyK2SYfm2C5iwdj++OJhlXHKVXJtGhRpfH87GxLf3Y+UfF1uU7x98bgruHBkCITUytzrfHs0BY8C0WJ8WK8kQyxDh7YxfHhmDME9HFNY0Yd5nR3E8u4rrsHrV1tOF2JZcBAGfh3dvo2l7hPSEaqkSXx3KxrR3D+KeDSew/3IFeDxgen8f/LB4FP55cgJuGxFMTcyJRdh8PA+MAROivDA4SAJAd2LNRSxEbpWs238nM/XToCJ9Oq5a4vF4xmlal5tN4TNUSoV0kpQCgEcmRUAs5IPP0yUZCDcWjgmFWMgHjwc8MC6s0/2D9NM6S+qaoNbPysmtkkKh1sJRJOi04i3iKlfgSymuQ2J2FYR8HhZN0PUWC/ZwxC3DAgHo3gvW4po/vYWHh+Pll1/GX3/9hUOHDuHMmTM4deoUTp06hZMnT+LChQs4f/48vvzyS+P+8+fPxwMPPIDYWDqjSXqevZ0AiyZE4I6RIfjxRD42HMlBab1uFbhP92XirtEhuHd0KILcO/9jQVrKq5Liu2N5+DWpAA0KNQDAX2KPJZMicXtCMJ0ttWJ1TSr8eroQAPAgNdG0WMEejvjt0bFY/H0SzuTX4t4NJ7BuQZzxA4ktyyhrMJanP3NdNBLCPDiOiBDbwRhDYnYVfjxZgF0XS6HUf9FyEglw64hg3Dc2rMNl0gnhgkbLsFX/2WVhs6SOk1iIm4YGYMuJfPx0qgBju9EEuisr7xlE+7kgKa/G2OC6rkmFGpnuBHhn0/cAYGCABLufngiVRot+PtRPiisR3s7Y/fREKNXaDpuUG/i72sNRJIBMqUFulQz9fJyRUqzrCxbj59LpinrhxhX/ulfx/keybjrq9QP9ENCsQfqdI0Ow9XQh/r1YitW3qK3ihJ1ZI7S3t8fYsWMxduxY47ba2lokJSW1SFStW7cO7777LubPn48PP/wQfn5+HdwqIebhLBZi8cQI3Dc2DH+cLcL6g1nIqpBi/cFsfHkoG9NifXDP6FBMjPK+puU4bZ1Wq/uguvFoLvZeKgPTV0FHeDth8YQIzI8PorOlNuCXUwWQKXXTMsZSjx6L5uksxg+LR+OZX85i54VSPPXzWRRUy7Bsaj+bnS4rVaix7IdkNKk0mBDlhUcnRXIdEiE2oaBahj/PFuG3M0UtpiANCZLgzpEhuDEuAM7UK4pYqFO51aiSKuHmaIfJMd4tfnfbiGBsOZGP/1LLIFdpunzi1NAwup9358mJK5VSuutk6JNTvq7iLr9vupK8Ij2vO88Dn89DlK8LzhXUIr2sAf18nJFWonvuDY3TO2KYjVBY09Tl16ZWy/D3+RIAwI1xAS1+Fx/ihjBPR+RWybArpRRzhwV1+bFwxWx/Vfbt22dyu5ubG6ZPn47p06cbtxUXF2P//v347bffMGrUKBw4cADh4XQmnvQOkZCP20YEY0F8EPakleG7xFwczazCnrRy7EkrR4iHI+4YGYxbhga2yDr3dYU1Mmw9XYitpwtbrC4xKdobD4wLo2SeDdFqGTaf0JX83j82zGYTG7bE3k6AT+6Mx1r3S1h/KBvv/peOvGoZ3pg7CGKhbVUsarUMT/98FpfLGuDlLMZ7tw2lsYeQa1ArU+LvCyX4I7kIp3Kv9CBxFgtx89AA3DkyBIMCJRxGSEjX7EopBQBMi/Vt05R8SJAEgW4OKKptwpGMSkwf4Nvp7dXKlKhsVAK40venI8YV+PTJKEO1TFcSE8S6Rfs441xBLS6XNmD2YH/jCor9u/DcezmL4GIvRINcjbwqmbFpfkeSC2pQXCeHk0jQJgFr6K/88b5M7Ekt71tJKWfnrvcbCQgIwN133427774b58+fx+rVq7FhwwZzhUJIl/D5PMwY6IcZA/2QVdGILcfz8evpAuRXy/D2v5exbtdljA73xNz4QMwa5AcX+7638lhdkwp7UsuwLbkQx7KqjFVRLmIhbhkWiPvGhnWpnJlYl2NZVcirksFFX+5OrAOfz8OLs/sjyN0Bq/5KwdbThcgsb8QX9wyHn8Se6/DM5r3/0rE7tQwiAR/r7x0Obxcx1yERYnUaFWrsv1SO7eeKsf9yOVQa3R94Hk/X2PfmoYGYM9ifVtAjVoMxhl0XdUmpmYPazsLh8Xi4boAvvj2Wi92ppV1KShmm7gVI7Lv0XjCsspZfLYNUoUZKcR0A3bQ8YtsMiaRLpfXQaBnO6puMD+5CQp/H4yHS2xlnC2qRWd7YpaTUrpQyAMD0Ab4mK6umxvrg432ZOJReAZVG2+HKkZaA0780Go0GTk5O8PCgPhCEW5HeznjlxgF49vpo7DhXgt/OFOJETjUSs6uQmF2FlX9cxOQYb1w3wA/TYn3g7iTiOuQeUydTYXdqKf65WIrDGRXGD6oAMK6fJ24dHozrB/rBQWRb1Rfkii36Kqm58YFWMQ+dtHTvmDCEejrh8R+TcbagFjd8fASf3R2PkeHW/7d26+lCfLI/EwDw1vzBGB7qznFEhFiPWpkS/6WWYVdKKQ5lVEKp1hp/19/fFXOHBeCmuECbSmKTviOrQoriOjnEQj4mRJnuGWVISu1NK4dGyzpd3c6QlIrs4glYT2cx/CX2KKmT40x+DS4W6aplBgZQpZStGxrsBgA4lVuD1OJ61MvVcBYLu/zcR/noklIZ5Q0A/Dvd/1B6BQBd8smUIUFu8HASoVqqRFJuDcZYeCsOTr9tvP7661i9ejX69++PdevWcRkKIQAAR5EQtyUE47aEYBTWyPDn2WJsO1OIrAopdqWUYVdKGQR8HhLC3DG9vy/GR3khxtfFqqc3McaQWlKPg+kVOJRegaTcGqibLZcb5eOMOUP8MT8+CMEe1Aze1pXXy/Ffqu7sy12jQjiOhlytidHe+GvZODyy6TQulTbgrq+O45UbB+De0aFWO17tSinFC7+dBwAsmRSJefGWX45OCNeKa5uw71I5/r1YisTsKmia/X0P93LCzEF+uHloAGL96EszsW5n8nSVKXHBbu325BkZ7gEXsRBVUiUuFtUhTp9IaE+WYeW9bqxAPDHKGz8nFeC304VIK9UlpegEiu0bEuQGBzsBqqVKbDyWAwBICHPv8urjUfoqO0MitCNl9XJcKm0AjwdMiPI2uY+Az8PkaG9sSy7C/svllJTqyC233ILCwkIsW7aMyzAIMSnI3RFLp/TDY5MjkVpSj90pZdidWoa0knocz67G8exqAICnkwhjIj0xrp8XEsI8EOHlZNH9TbRahvTyBiTl1iAptxpHs6pQ0aBosU+snwtmDfLH7MF+XVp1gtiOX5IKoNYyDA91py8pVi7U0wnbHhuL57eex47zJXjlzxScyK7Gm3MHQ+JoXdORj2VW4vEfkqHRMiwYHoTnr4/hOiRCLJJKo0VSbg0OpJfjwKUKXC5raPH7WD8XzBzkh1mD/BHt62y1SWpCWkvK030u7ygBZCfgY3SkJ/5LLcORzMpOk1LpZboEQXQ3PgtPidUlpf44WwxA957zcaXqQ1snEvIxIswdhzMqse2MblW8yTGmq5hMMbRD6UpSylAlNThQAo8OZu9MitElpRKzqrocB1c4TUoNGzaMekkRi8fj8TAwQIKBARI8fV00Cqpl2J1ahoPpFTiVo1vlY8f5EuzQr4DgYi9EXJAb4oIlGBLkhmhfF4R4OHZaItwTNFqG3Cop0krqcamkAReL63Amrwb1cnWL/RxFAoyN9MSkaG9MjPamlT/6KI2W4ceTBQCAu0ZSlZQtcBQJ8fGdwxAX5Ia1/17C3xdKcLagFh/cMRQJYdYxne/A5XI8suk0lBotZg70w1vzBlt04p+Q3lZQLcOxrEocuFyBIxmVaFBc+RvP5+mmlVw3wA8zB/kZlx4nxNac1ldKjeikKmlClBf+Sy3D4YwKLJ3Sr8N9DQ3LY/y6Xik1OcYH3i5i4wnf2xOCu3xdYt1uHRGMwxmVAAAHOwFuiut6X9YoH13iM7tCCrVG22GFleE+2pumajAqXFcdlVJch3q5Cq4W3B+ZmoUQ0k3BHo54aHw4HhofDoVag7P5tTiaVYXErEqcL6xDg1yNI5mVOJJZabyOSMhHhJcTonxdEOLhAH+JAwLc7OEvcYCfqz1cHeyuKmml1mhRLVOiqlGJigYFCmpkyK+WoaBahrwqGbIqGiFXadtcz1EkwLAQNwwP9cDocA8MD3O3uRW6SPcdyqhAUW0TJA52mDOk8/nsxDrweDwsnhiBhHAPPPlTMvKqZLh9fSKWTY3Csin9IBJabvPLnRdK8ORPyVBpGKbG+uDDO4d2uRSeEFtVWidHYnYljmXq+l42XxEXADycRJgc7Y1JMd6YGOVt030wCQGAGqkSWRVSAMCwkI6TUuP76b7In86rgUypbrd3Zl2TCiV1cgBAP5+uV0rZ2wnw1rzBePmPi4j1c8GddJKvz5gz2B9708pwLKsKq24c0K2xN9DNAfZ2fMhVWhTUNLV7AkGrZcbvmBPbmbpn4CexR6inI/KqZDidW4Mp7fSfsgSUlCLkGoiFAoyK8MSoCE/gumioNFpcLm3AucJanM2vRUpxPbIqGqFQa3GptAGXShvavS0XsRCuDnZwdbCDvR0fQj4PAj4PQj4fPB6gUGkhV2uM/9Y1qVArU3Uao70dHzF+rhjg74L+/q6ID3FHrJ8LfbEjbfx4Ih8AMD8+qN1+DMR6DQ12w99PTMArf1zEtuQifLQ3A7tTSrF2/pBOpzD0NsYYNhzJwZs706BlwA1D/PH+7UMtfvUYQsyNMYaC6iacya/BydxqJGZVIadS2mIfIZ+HIUESTIz2xuQYHwwJlFA1IelTzuhXOovwdupwOhOg66UW6OaAotomnMypbneKVWa57jO7v8QeEofuVZhM6++Laf07X92P2BYBn4cP7xh2Vdfl83Ur8KUU1yOjrKHdpFRKcT2qpUo4iQSI70KvslHhHsirkuF4ThUlpQjpK+wEfAwKlGBQoAR3jwoFoJsSVVTThIzyBmSWN6KotgnFtU0orpWjpK4JNfrEUoNCjQaFGkW1TR3dRRt8HuDuKIKXsxhB7g4I9nBEiP4n3NsJYZ5OnEwdJNalqlGBfZfKAQB3jKRSc1vlLBbivduHYlKMN179KwWXShsw97OjeGh8OJ6aHm0Ry7/LVRqs+P0ifjtTCAC4c2QIVt8yiMYx0ifIVRpcKNJNtT+dV4Mz+bWobGzZ95HPAwYFSjAmwhNjIj2REOZhEe9dQrjS1al7gK56eHw/L/ycVIAjGZXtJqUul3a/nxQh1yLKR5eUyqxoxIx29jmUoesnNSbSq0sn6kaFe+KXpEKc0PdCtlT0F4yQHibg8xDi6YgQT0eTZ02Uai3q5SrUN6lQ16RCvVwNpVoLjVYLtZZBo2XQMgaxUAB7O77xX1d7O3g4ieDmKKIva+Sa/XWuGGotw5AgCX0A6wNuHhqI8f288Nr2VPx1rhhfHc7Bn2eL8dz1MZgfH8RZlcWl0no89dNZXCptgIDPw8tz+uP+sWHUjJnYJKVai4zyBqQU1eNicR3OFdYhtbgOKg1rsZ+dgIcBARIMD3HHmEhPjAz36HblBiG2LEmflOrqKnfjo/RJqWatNloz9JOK9u16PylCroVhcanLHcysMTQ5nxTdcT8pg5Hhuv6hF4rqIFWoLfYEhmVGRUgfIhLy4eUshpezmOtQSB9mqEqZHx/EcSSkt3g6i/HRncNw89AAvLo9BQXVTXhu63l8n5iHZ6+PwcQor15LBqk0WnxzJAfv7k6HUqOFp5MIH94xDOM7aeJJiLWQqzRIL2vAhaI6XCyqR0pxHS6VNECpadv30ctZjOGhbogPccfwUHcMCpTQlGpC2qHSaHGuoBYAMDy0awt4jOvnBR4PuFTagPIGOXxc2q6OZ0gM0CrUpLcMCNCten2hqM7k7xsVauNU1Qmd9JMyCPZwhJ+rPUrr5bhQVIfREZ7mCdbMKClFCCF93OXSBlwsqoedgNetlUKIbZjW3xfjo7zw7dFcfLwvExeK6nDfNycxJEiCZVP6YXp/3x6rnGKM4WB6Bf63I9XYpHZarA/emj8E3i6UqCfWR6nWIruyEelljcgoa8Dl0gZklDcir0oKLWu7v6u90Djtf2CAru9jkLsDVQcS0kUpxfVQqLVwc7RDRBdXl/RwEmFggCsuFtXjSEYl5rU6IafVMlzUJwYGBUjMHjMhpgwO1L3WciqlaFSo4dyqqulEdhVUGoZgDweEejp2+XbjQ92w80IpkvNrKSlFCCHEMhmqpKbG+tAqTX2UWCjAI5MiMX94ED4/kIUtJ/JwvrAOD286jVBPR9yREIIFw4PMlijSahn2pJXhi4NZOJNfCwDwdBLhhZmxuHVEEH0hJxavRqpETpUUuZW6n8wKXSIqt1IKtansE3RfhAcFSjAowFX/rwTBHpSAIuRaGPpJDQ9x79YJlIlR3rhYVI/9lyvaJKWyKxvRoFDDwU5A0/dIr/FyFsNfYo+SOjlSiup0C2k1czjjyqp73fm7MSzYXZ+UqjFrvOZESSlCCOnD1Bottp0pAkBT94juA9HKGwbgscmR2HAkB5sS85BXJcPafy/h3d2XMSbSEzMG+GJqf18Eujl067a1WoZLpQ3Ycb4Yf54tNi7qIBLysXB0KJ6YHgVXe+qTQywDYwy1MhXyq2XIrZIiR598yqmSIbdSirqm9le/dRELEe3ngmhfZ0T7uiDa1wVRvs7wdhZTAooQMzudp2vg3JWVyJqb1t8Hnx3IwoHL5VBptC2aRifrT5YMDpTQatWkVw0OlKCkTjfVrnVSytDkvKtT9wyGhbgBAM7k14IxZpF/hygpRQghfdjhjEpUNirg4SRqdwUa0vd4Oovx/MxYLJvaDzvOl+DHk/lIzq/F4YxKHM6oxMo/U+AvsUd8iDuifV0Q4umAAIkDnMRC2NvxoVBr0ShXo6xBgeyKRlwubcCJnGpUS5XG+3CxF+Ke0aF4YFyYyX4ehPQkrZahslGBwtomFNY0oaimCUW1MhTV6C/XNkGm1HR4G36u9gjzckS4lxMivJyNiSg/V3uL/NBPiK1hjHVr5b3mhga7w8NJhGqpEkm5NRgTeSUBcK6wFgAQF0xT90jvigt2w+7UMpzKrcaiCRHG7flVMmRXSCHg81q8VrtiUKAEQj5P9zevpgnBHl2f+tdbKClFCCF9mGHq3k1xARAJ6WwgaclRJMRtI4Jx24hgZFc04r/UMuxKKcW5wjqU1Mnx94US/H2hpMu3Z2/Hx/h+3rhlWACm9/el5s2kR0gVapTVy1HeoND9W6/7t0x/uaxejpJauckm4615OYsRrk88hXk5IdxT92+opyMcRfQxmhAuFdU2oaxeASGfhyFBbt26roDPw5QYH/x2phB708pafNE/ka2rvhoW0r1EFyHXaqz+dZiYVQWNlhlXWP/nou6z1uiI7q++am8nwIAAV5wvrENyQS0lpQghhFiORoUae9LKANDUPdK5CG9nPDLJGY9MioRMqca5gjokF9Qgr1KGvGopSuvkaFJp0KTUQGwngItYCA8nESK8nRDp7Yzhoe4YEuRGyU/SbVotQ12TClVSJaqlSlRLFbr/NypRJdX9VDYoUNagS0A1KtRdul0+T1ftFOjugCB3RwS6OSDQ3aHFv5Q4JcRyGaqkBgZK4CDq/nt1en9dUmp3ahlWzOkPHo+H4tomZJQ3gs+7kiAgpLcMDpTAxV6IerkaF4vqEBfsBgDYebEUADBzkP9V3e6wYDddUiq/xiIXNbLZpFR1dTU++ugj7NmzB0KhELW1tViwYAGWL18OodBmHzYhhHTZ3rQyyFVaRHg5YVCgK9fhECviKBJiTKRnt0vISd+m1TI0KNSob1KhTv/T/P91TSrUy1WokalQ3ahLQFVJlaiRKaFpp3l4e5zFQvi4iOHjKoavqz18Xe3h4yI2/hvg5gA/iX2LPjKEEOvSvMn51ZgU4w1nsRD51TIkZldhbKQX9l8uB6CbRuXmSIu/kN4lFPAxJsITu1PLcOByBeKC3ZBV0YhzBbXg8YDrB/pe1e3Gh7rju8Q8Y780S2Oz2ZmdO3fi119/xbFjxyCRSFBcXIz4+HgolUq8/vrrXIdHCCGc236uGABwwxB/6n9CCGmXWqOFVKFBo1INqUKNRoXuX93/Ne1uq5dfSTTVyVRoUKjBupdbasHFXghPJxE8nETwcBLDy9nwfxG8nA3JJzF8XO3bLKVNCLE9Sbn6pFQ3+0kZOIqEuHloALacyMeWE/kYG+mFrad1bQ2uH+hntjgJ6Y4ZA/2wO7UM25IL8fjUftiUmAcAmBbrc9U9OIcF694jqcX1UKg1EAstqwrYZv9ie3p64v/+7/8gkega1AUEBGDBggX46aefKClFCOnz6mQqHEzXreJxowWW8RJCuLPou1O4XNagS0Qp1FCqO++91B32dnxIHOyMP672+n/1l90c7eDhJIKnk1j3r7MI7o4imvpJCDFqVKhxqbQeADAi7Op7P909KhRbTuTj7/MliPbJQHJ+LYR8HrU1IJyZPdgPr/2VgrwqGd7fk44fTuQDABaOCbvq2wz2cICnkwhVUiVSiusRb2H90mw2KTVr1qw22+zt7aFUKk3sTQghfcuulFKoNAyxfi6I8nXhOhxCiAUpqZOjoLqpzXaRgA8nsQBOYiGcxUI4GX5Ezbdd+X/rZJOrgxASBzuLO0NLCLE+Z/NroWVAoJsDfF2vfgXXAQGumBcfiG1nivD+nnQAwK0jguHtIjZXqIR0i6NIiAfGheGjfZn4eF8mAGBStDcmRHld9W3yeDwMC3HDnrRynMmroaQUlxITE3HrrbdyHQYhhHBu+3nd1D2qkiKEtPbG3MHQaLX6hNOVBBRVKhFCLIWhn9S1VEkZvHrTQFQ0KHA4oxITo73x0uzYa75NQq7F0qn9kF0pxY7zJYgPccO6W4dcc6uNYSHu2JNWbpF9pfpMUmrfvn3Iz8/Hzp07O9xPoVBAoVAYL9fX1/d0aISQPobrcaayUYGjmZUAdP2kCCG25VrHmKH61X4IIaQ9XH+WOZ1/bf2kmnO1t8Omh0ZBpdHS4gfEIoiFAnxyVzzev10LIZ9nlt6vw0LcAABn9O8dS2J177pXX30VPB6vw5+kpKQW1ykqKsKSJUvw559/GntMtWfNmjWQSCTGn+Dg4J58OISQPojrceafCyXQMiAuSIJQT6devW9CSM/jeowhhNg+LscZjZYhOc98SSkDSkgRS2Mn4JttMaK4IDfwebop+iV1bafoc4nH2LWsg9L7Ghsb0djY2OE+Xl5eEAp1RWDV1dW47rrrsHbtWkyfPr3T2zeV9Q8ODkZdXR1cXWnJdEKIblyQSCRXPS5wPc7c9kUiTuZW4+U5/bFoQkSP3x8hpHusfYwhhFg+ax5nLpXWY+YHh+EkEuDcqhkQUjKJkC6Z/eFhpJbU49O74jGnF2ZLdHWcsbrpe87OznB2du7Svg0NDbjxxhvxyiuvGBNSX375JR5++OF2ryMWiyEWU2M7QkjP4XKcKW+Q41ReNQBg9mCaukeILaLPMoSQnsblOJOUq6uSGhbiTgkpQrohPtQNqSX1SM6v6ZWkVFfZ7LtYLpfjpptuwujRoxEYGIikpCQkJSVh/fr1XIdGCCGc+S+1DIwBccFuCHBz4DocQgghhJBuOaOfuhdvxql7hPQFhlX3LK2vlNVVSnXVhg0bcODAARw4cADvvfce1+EQQohF+PdiKQBg5kA/jiMhhBBCCOm+pB7oJ0VIX2BISl0sqodCrYFYKOA4Ih2brZRaunQpGGMmfwghpC+qa1IhMasKAHD9QF+OoyGEEEII6Z7yBjnyq2Xg8a6sJkYI6ZpQT0d4OImg1GiRUty7K2Z2xGaTUoQQQlrad6kMai1DtK8zIry71puPEEIIIcRSGKbuxfi6wNXejuNoCLEuPB4P8fpkruG9ZAkoKUUIIX0ETd0jhBBCiDU7maP7Ip0Q5sFxJIRYp2H6KXzJ+bXcBtIMJaUIIaQPaFJqcDC9AgAwg5JShBBCCLFCp3J1KwiPCKN+UoRcDcO0V0tqdk5JKUII6QMOpldArtIiyN0BAwNcuQ6HEEIIIaRbGhVqpBTXAQBGhlOlFCFXIy7IDXweUFInR0ldE9fhAKCkFCGE9Am7UnRT964f6Acej8dxNIQQQggh3ZOcXwMtA4LcHeAvceA6HEKskpNYiP7+uhPUSbmWUS1FSSlCCLFxKo0We9PKAAAzB9HUPUIIIYRYn1M5uql71E+KkGszKtwTAJCYXcVxJDqUlCKEEBuXlFuDerkaHk4ixIdQDwZCCCGEWJ+TuZSUIsQcxkTqklLHsygpRQghpBfsu6SrkpoS4wMBn6buEUIIIcS6yFUa42phI8PpBBsh12JkuAf4PCC7UorSOjnX4VBSihBCbN3eS+UAgKmxPhxHQgghhBDSfUm5NVCotfB1FSPS25nrcAixahIHOwwOlAAAErMrOY6GklKEEGLTciqlyK6QQsjnYUK0F9fhEEIIIYR02+HMCgDA+H7etGALIWYwWj+F71gm91P4KClFCCE2bJ++SmpkuAdc7e04joYQQgghpPsOp+uqOSbSCTZCzGJspO69dCyrCowxTmOhpBQhhNgwQz8pmrpHCCGEEGtU2ahAakk9AGBcP0pKEWIOCWHuEAn5KKptQmZ5I6exUFKKEEJsVINchRPZupVqpvX35TgaQgghhJDuO5Khq5Ia4O8KL2cxx9EQYhscRUKM00/h+y+tjNNYKClFCCE26nBGJdRahggvJ4R7OXEdDiGEEEJIt+1KKQVAVd+EmJvhpPXetHJO46CkFCGE2CjDHxj6EEcIIYQQayRXaXDgsq7J+cxBfhxHQ4htmdZf9x3hTH4NKhsVnMVBSSlCCLFBGi3Dgcv6pFR/SkoRQgghxPocSq9Ak0qDQDcHDAxw5TocQmyKv8QBgwMlYAz4L5W7KXyUlCKEEBt0rrAWVVIlXMRCJIR5cB0OIYQQQki3/XWuGABw/UA/8Hg8jqMhxPbMHuwPAPj9TBFnMVBSihBCbNBBfan7hGgv2AloqCeEEEKIdamRKrE7RVe9MS8+kONoCLFNtwwLAI8HnMytRn6VjJMY6JsKIYTYoEMZuqTUxChvjiMhhBBCCOm+P84WQanRYmCAKwYFSrgOhxCb5C9xwPh+XgCAracLOImBklKEEGJj6mQqnCuoBQBMjKakFCGEEEKsi0bLsOl4HgDg9oRgjqMhxLbdNkL3Htt0PA8ypbrX75+SUoQQYmOOZlVCy4B+Ps4IcHPgOhxCCCGEkG7592IpsiukkDjYYV58ENfhEGLTZg3yQ7CHA2pkKvxyqverpSgpRQghNuawfurehCgvjiMhhBBCCOkehVqDd3dfBgDcNzYMzmIhxxERYtuEAj4enhgJAPhkfxbq5apevX9KShFCiA1hjOFQeiUAmrpHCCGEEMu08WgO/r1YavJ3n+zLRHalFN4uYiyaEN7LkRHSN902IggRXk6obFRgzc40k/sczazEx3szzH7flJQihBAbkl0pRVFtE0QCPkaHe3IdDiGEEEJIC+cKavG/HalYsvk0Vu9IhVylMf5u25lCfLwvEwDwyg0D4Gpvx1WYhPQpYqEAq28ZBAD48WQB1h/MAmMMAKDWaPHp/kzcu+EE3v0vHfsvlZv1vqkWkhBCbMihdN3UvYRwdziIBBxHQwghhBDS0oAAVzw4LhxfH8nB10dy8PeFEkyK9kZJnRwH9Z9j7h8bhhvjAjiOlJC+ZWw/Lzx3fQzW7bqMNf9cwr5L5ejn44wjmZXIq5IBABYMD8KYSPOe+KakFCGE2BBDUmpiFE3dI4QQQojlsRPw8fINA5AQ7oFVf6agpE6On/TNlfk8YPHECDx/fSzHURLSNz02ORIiAR9r/72EEznVOJFTDQBwd7TDi7P649YRQeDxeGa9T0pKEUKIjVCoNTierfvDQf2kCCGEEGLJrh/oh0nR3th/qRxppQ1wEgkwrb8v+vk4cx0aIX0Wj8fD4okRmDnID7tSSlHfpEKkjzOm9fftsUUH+kRSSqvVYvTo0SgvL0dubi7X4RBCSI84nVuDJpUG3i5ixPq5cB0OIYQQQkiH7O0EmDXYH7MG+3MdCiGkmWAPRyyaENEr99UnGp1/+umnyMgwf5d4QgixJIcydKvuTYjyMntZLSGEEEIIIYSYm80npYqKirBhwwY8/PDDXIdCCCE96mimLilF/aQIIYQQQggh1sDmk1JPPPEE1qxZAwcHB65DIYSQHlMnU+FicR0AYKyZV8QghBBCCCGEkJ5g0z2ltm/fDqFQiFmzZuHEiRNduo5CoYBCoTBerq+v76nwCCF9VE+MM8dzqsAYEOntBB9X+2u+PUKI9aLPMoSQnkbjDCHEXGy2UqqxsREvvfQSPvjgg25db82aNZBIJMaf4ODgngmQENJn9cQ4k5hVBQAYG+l1zbdFCLFu9FmGENLTaJwhhJiL1SWlXn31VfB4vA5/kpKSsHLlSixZsgT+/t1byeHFF19EXV2d8aegoKCHHgkhpK/qiXHmWJaunxRN3SOE0GcZQkhPo3GGEGIuVjd979lnn8WS/2/vfkO0qtsEjl8zjt6uOznbauij6VYoQUVF5iapjf1BeISM0IhAlIrKF0EvCjLaaoIKLHoj/UfMPySRkEggFCVF0NSzoxUlSYLOFtY8LprNhDWi/fZFjPsYPTkz3uc+c875fEBwZu6p68c034bLc44rV/7payZOnBh33nln7Ny5M7Zs2RIREd3d3dHT0xMLFiyIGTNmxNq1a//wc2u1WtRqtbrPDTCg3p35377++PrvP0VExJwLLKWg6vwsA2RNZ4B6KdxSqrW1NVpbW0/7us8///yUtzs6OmL9+vXx/vvvZzQZQD469/12695FfxkfZ//rmJynAQAAGJzC3b4HwKn+/3lSrpICAACKo/RLqYFb9tavX3/K7wHKonPgeVIzLKUAAIDiKNzte0M1efJkt+wBpXXgyM/RfehojGpuitnn/Xve4wAAAAxa6a+UAiizgVv3Lj23Lc4aOzrnaQAAAAbPUgqgwD4auHXP86QAAICCsZQCKKiU0j885HxiztMAAAAMjaUUQEF9e/jn+P7HX2L0qKa4YvrZeY8DAAAwJJZSAAX1yf7frpK67Nx/i38ZMyrnaQAAAIbGUgqgoP62/3BERMw+39+6BwAAFI+lFEBB/a37t6XUf1pKAQAABWQpBVBAf+/9Jf7n0NFoaoqY9R+eJwUAABSPpRRAAQ3cunfRX8bH+LGjc54GAABg6CylAApoYCnl1j0AAKCoLKUACui/B54ndZ6lFAAAUEyWUgAFc+TosdjT0xcR/uY9AACguFryHmCkSylFRERvb2/OkwAjxUAPBvpwpobamff3HIxf+4/GeRPHxZhf+6O3t78ucwAjQ96NAcpPZ4CsDbYzllKn0df329UI06ZNy3kSYKTp6+uLtra2uvxzIobemW8jou2/zvhfD4xQeTcGKD+dAbJ2us40pXqtx0vq119/je+++y7OOuusaGpqOu3re3t7Y9q0afHtt9/G+PHjGzBhfqp01ohqnbdKZ40Y+nlTStHX1xdTpkyJ5uYzvwt6KJ3xtSm3Kp23SmeNGNp582zMUGctgyqdt0pnjajWeYv0s8xw5i26Kp23SmeNqNZ5s+qMK6VOo7m5Oc4999whf9748eNL/x/lgCqdNaJa563SWSOGdt56/KnigOF0xtem3Kp03iqdNWLw5827MRG+NmVWpbNGVOu8RfpZJqJaX5uIap23SmeNqNZ5690ZDzoHAAAAoOEspQAAAABoOEupOqvVavHYY49FrVbLe5TMVemsEdU6b5XOGlGs8xZp1npw3vKq0lkjinXeIs1aD1U6b5XOGlGt8xbtrEWb90xV6bxVOmtEtc6b1Vk96BwAAACAhnOlFAAAAAANZykFAAAAQMNZSmXk8OHD0dHREfPmzYsFCxbE5ZdfHk888UQcP34879Eys3fv3rj66qtjwYIFeY9Sd1u3bo0rr7wy5s+fH+3t7bF79+68R8rUsWPH4qGHHoqWlpbo7u7Oe5zMvPHGG7Fw4cK4/vrrY/bs2bFkyZLYt29f3mMNms6US5U6U5XGRBS7M1VsTITOlIXO6MxIVtbOVKkxETpTt84kMrFp06Z00UUXpSNHjqSUUjpw4ECaNGlSeuSRR3KeLBsbN25Mc+bMSXPnzk3t7e15j1NXn3zySWptbU179uxJKaW0YcOGNHXq1NTb25vzZNnYv39/mjNnTlq+fHmKiLR///68R8rM6NGj09tvv51SSunEiRNpxYoVaebMmennn3/OebLB0ZnyqFJnqtSYlIrdmao1JiWdKQud0ZmRrKydqVJjUtKZenbGlVIZmTBhQtx///3R1tYWERFTpkyJpUuXxuuvv57zZNmYMGFCfPDBBzFjxoy8R6m71atXx6JFi+LCCy+MiIhly5bF8ePHY8OGDTlPlo2ffvopNm3aFLfffnveo2TupptuioULF0ZERHNzc9x7772xd+/e2LVrV86TDY7OlEeVOlOlxkQUuzNVa0yEzpSFzujMSFbWzlSpMRE6U8/OWEpl5K9//Wvccccdp7xv7NixcezYsZwmytaiRYtizJgxeY+Riffeey9mz5598u3m5uaYNWtWvPvuuzlOlZ1LLrmkdP+T/Ge2bNlyyttjx46NiCjM96nOlEeVOlOlxkQUuzNVa0yEzpSFzujMSFbWzlSpMRE6U8/OWEo1UGdnZ9xyyy15j8EQHDp0KH788ceYPHnyKe+fPHlyYe7VZ/A6OztjypQpMXfu3LxHGTadKR6dqZaid0ZjiklnqkVnaDSNqZ56dqalDvMwCDt27Ihvvvkmtm/fnvcoDMHRo0cjIqJWq53y/lqtdvJjlEN/f38888wzsWbNmhg9enTe4wyLzhSTzlRH0TujMcWlM9WhM+RBY6ql3p1xpdQQdXR0RFNT05/+6urqOuVzDhw4ECtXroxt27advF+6CIZz1rIZN25cRPz2jfeP+vv7T36Mcrjnnnti6dKlsWTJkrxH0RmdOfm2zpTLSOlMlRoToTMROlMlOpOPqndGY6ql3p1xpdQQPfDAA7Fy5co/fc3EiRNP/v7w4cOxePHieOGFF+KKK67Iery6GupZy2jChAnR1tYWPT09p7y/p6cnLrjggpymot5WrVoVLS0t8eSTT+Y9SkTozO/pDGUwkjpTpcZE6EyEzlSFzuSn6p3RmOrIojOWUkPU2toara2tg3ptX19f3HjjjfHoo4/GDTfcEBERr7zyStx9991Zjlg3QzlrmV133XWn/MlGSil27doVDz/8cI5TUS+rV6+O7u7u2Lx5czQ1NcXOnTsjImLWrFm5zaQz1aMz5TbSOlOlxkTozACdKTedyZfOaEwVZNUZt+9l5JdffonFixfHnDlzYurUqdHV1RVdXV3x8ssv5z0aQ7Rq1arYvn17fP311xER8dprr8WoUaNixYoVOU/GmXrppZdi06ZNcd9998WuXbuiq6sr3nrrrfjiiy/yHm1QdKY8dKa8itwZjSkXnSkvnWEk0Jhyy7QziUw899xzKSL+8FcZbdu2LbW3t6dJkyaltra21N7entauXZv3WHXz5ptvplmzZqV58+ala665Jn355Zd5j5SZ/v7+1N7eni677LIUEemqq65KS5cuzXusuuvt7U3Nzc1/+D366quv5j3eoOiMzhRRVRqTUvE7U7XGpKQzZaEzOjOSlbkzVWlMSjpTz840pZTSma+2AAAAAGDw3L4HAAAAQMNZSgEAAADQcJZSAAAAADScpRQAAAAADWcpBQAAAEDDWUoBAAAA0HCWUgAAAAA0nKUUAAAAAA1nKQUAAABAw1lKAQAAANBwllIAAAAANJylFAAAAAANZykFAAAAQMNZSgEAAADQcJZSAAAAADScpRT8Ez09PfH0009He3t7jBs3Ljo6Ok5+rLOzMy699NKYPn16HDlyJLcZgWLTGSBLGgNkTWc4U00ppZT3EDAS/fDDD1Gr1eLgwYMxY8aMOPvss+PgwYPx6aefxlNPPRXTp0+PPXv2xNatW6NWq+U9LlBAOgNkSWOArOkMZ8pSCgZh7ty58dFHH8XHH38czz//fKxbty5aWlryHgsoEZ0BsqQxQNZ0huFw+x4Mwvz58yMiYvny5fH444+LK1B3OgNkSWOArOkMw2EpBYMwb968iIiYPXt2nH/++TlPA5SRzgBZ0hggazrDcFhKwSDMnDkzIiK++uqrnCcBykpngCxpDJA1nWE4PFMKTiOlFLfeemt0dnbG999/H4cOHYq2tra8xwJKRGeALGkMkDWdYbhcKQWnsWbNmrj55ptj8eLFceLEifjwww/zHgkoGZ0BsqQxQNZ0huGylII/8dlnn0V3d3fcdttt0d7eHhERO3bsiIiItWvXxu7du/McDygBnQGypDFA1nSGM+Fx+PA7zz77bKxbty6WLVsWXV1dsXnz5oiIuPbaa6O5uTk2btwYtVot2tra4uKLL855WqCIdAbIksYAWdMZ6sWVUvA7Y8aMiX379sU777wTL774YtRqtYiIOOecc+Kuu+6KY8eOxYkTJ+LBBx/MeVKgqHQGyJLGAFnTGerFg84BAAAAaDhXSgEAAADQcJZSAAAAADScpRQAAAAADWcpBQAAAEDDWUoBAAAA0HCWUgAAAAA0nKUUAAAAAA1nKQUAAABAw1lKAQAAANBwllIAAAAANJylFAAAAAANZykFAAAAQMNZSgEAAADQcJZSAAAAADTc/wEcyumUCc5VpwAAAABJRU5ErkJggg==\",\n      \"text/plain\": [\n       \"<Figure size 1200x300 with 4 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"x = np.linspace(-2, 2, 1000)\\n\",\n    \"\\n\",\n    \"# four examples of nonlinear functions\\n\",\n    \"f1 = x**2 - x - 1\\n\",\n    \"f2 = x**3 - 3 * np.sin(x)\\n\",\n    \"f3 = np.exp(x) - 2\\n\",\n    \"f4 = 1 - x**2 + np.sin(50 / (1 + x**2))\\n\",\n    \"\\n\",\n    \"# plot each function\\n\",\n    \"fig, axes = plt.subplots(1, 4, figsize=(12, 3), sharey=True)\\n\",\n    \"\\n\",\n    \"for n, f in enumerate([f1, f2, f3, f4]):\\n\",\n    \"    axes[n].plot(x, f, lw=1.5)\\n\",\n    \"    axes[n].axhline(0, ls=':', color='k')\\n\",\n    \"    axes[n].set_ylim(-5, 5)\\n\",\n    \"    axes[n].set_xticks([-2, -1, 0, 1, 2])\\n\",\n    \"    axes[n].set_xlabel(r'$x$', fontsize=18)\\n\",\n    \"\\n\",\n    \"axes[0].set_ylabel(r'$f(x)$', fontsize=18)\\n\",\n    \"\\n\",\n    \"titles = [r'$f(x)=x^2-x-1$', r'$f(x)=x^3-3\\\\sin(x)$',\\n\",\n    \"          r'$f(x)=\\\\exp(x)-2$', r'$f(x)=\\\\sin\\\\left(50/(1+x^2)\\\\right)+1-x^2$']\\n\",\n    \"for n, title in enumerate(titles):\\n\",\n    \"    axes[n].set_title(title)\\n\",\n    \"    \\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch5-nonlinear-plot-equations.pdf')\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Symbolic\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 58,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x, a, b, c = sympy.symbols(\\\"x, a, b, c\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 59,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"e = a + b*x + c*x**2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 60,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( \\\\frac{- b - \\\\sqrt{- 4 a c + b^{2}}}{2 c}, \\\\  \\\\frac{- b + \\\\sqrt{- 4 a c + b^{2}}}{2 c}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"⎛        _____________          _____________⎞\\n\",\n       \"⎜       ╱           2          ╱           2 ⎟\\n\",\n       \"⎜-b - ╲╱  -4⋅a⋅c + b    -b + ╲╱  -4⋅a⋅c + b  ⎟\\n\",\n       \"⎜─────────────────────, ─────────────────────⎟\\n\",\n       \"⎝         2⋅c                    2⋅c         ⎠\"\n      ]\n     },\n     \"execution_count\": 60,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sol1, sol2 = sympy.solve(e, x)\\n\",\n    \"\\n\",\n    \"sol1, sol2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 61,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAAoAAAAOCAYAAAAWo42rAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA0UlEQVQoFXWR0Q2CQBBEhVgAwQ60BLUCsQO0A+3BP/4MJWgLWgIdGCmBDiB2gG+OW0PIuckyO3Ozu5cj6vt+ZlEURenrFlyRJVojLTIjwht+BZ86ABNA2p66ib14BhMzee0Dqukm7ozggawlTOIFzzTdjBlCNzGJaqoii/1dBvr/m2pi6s+te2y3Lb/V48NQvdBE6woZbFurO9rKJOA0bXhHDBW5DBhtYmXP88C0CRjXaLW2OiPFHaEDczNTa+2RPEmb6+ND3RcMdoUtfAd3f+wLrOY/XeyA6s8AAAAASUVORK5CYII=\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0$\"\n      ],\n      \"text/plain\": [\n       \"0\"\n      ]\n     },\n     \"execution_count\": 61,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"e.subs(x, sol1).expand()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 62,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAAoAAAAOCAYAAAAWo42rAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA0UlEQVQoFXWR0Q2CQBBEhVgAwQ60BLUCsQO0A+3BP/4MJWgLWgIdGCmBDiB2gG+OW0PIuckyO3Ozu5cj6vt+ZlEURenrFlyRJVojLTIjwht+BZ86ABNA2p66ib14BhMzee0Dqukm7ozggawlTOIFzzTdjBlCNzGJaqoii/1dBvr/m2pi6s+te2y3Lb/V48NQvdBE6woZbFurO9rKJOA0bXhHDBW5DBhtYmXP88C0CRjXaLW2OiPFHaEDczNTa+2RPEmb6+ND3RcMdoUtfAd3f+wLrOY/XeyA6s8AAAAASUVORK5CYII=\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0$\"\n      ],\n      \"text/plain\": [\n       \"0\"\n      ]\n     },\n     \"execution_count\": 62,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"e.subs(x, sol2).expand()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 63,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"e = a * sympy.cos(x) - b * sympy.sin(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 64,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAe8AAAA/CAYAAADJwEBWAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAS50lEQVR4Ae2d7bXUthaGD2dRADep4JIOSFIB3A4IqSChA7L4l3+s3A4SKiChA3IrgNBB6CAJHZz7Pj7axuORPbYsa6zx1loef0lbW+/W662vse/c3NxcTQk//vjjz4r3p/b/nRLf46Qh4Din4VZjKtn6vvR+o+1LHX+ssQyu8zACzuVhbC7tTg4uz5VxPQVECf1e8b7S3h33FMAS4zjOicBVmkz2/iDVaRT/VmkRXO0BBJzLA8Bc6OUcXJ4r46TzlsAHwvsnbd9cKO6bKJbjvAkzFFdCdm8axNrDMQ8XgIBz+QKMmFCEHFyeI2PUeUvQPZXhf9p+0DG9BA8rIOA4rwBqXSJpGH+vevC4LrVd2z4CzuU+Irs7z8HlSTLujM15qyIypMdw+Ze7M0HBAu8FZ5WTUZxvtT0rCO/mshIOd/pK6RqO+6W2f+vY57/7AFVyLtvt5pmpssLnPyoxzSpqCoNVuCy5J58Hd4dKFAzDXLc77iGQMlzfGc4MDTOK80MG6C5KhDB5rQ182J5eVOF2UpidcRmrUldZbPl+JyaeVMwcXJ4iY9B5S0t6ATxQ3DCTTJYcaRc4qx7RSr9KqU9Kw/TN84AwK7QJ3+n65nqoC3WlUfObZPykzaepGjNX9bMLLmMR1c8kPitdNVwO5UzVNweXR2VEnbcApsuOcXyRGhZcKewMZ5wvLfWUgDNre6M6ZmiS4bovUoStnCZZV5XLGsuU7z8r6+niMyKwMy6DXCqfk/mR0VxzRCXpm4PLp2QMLVjjIfu7Envrf46Z58edjLNscU/bG23/aPtzflbnSyF96S3f1/73RC1YzPWokxbckNe0/jvXVz1UflNssFTXFyrEo9JlWxW4fQjfBZcxpermEj4v5Ue22lSAzzm4PCjjyHmHhwbGofXvYSUE5uKs+B+10RujQZXqBFcqzUmxDP+wpQZ63e9SE+dKN9EGi3RVHq+lL9MByPFQAQKyGY3Iyc/MifVoyyVfwudF/MgJykQ7JOubg8tjMmLD5gyHXIVEObFyWYcIpOLMg+LFoajtnqkeMWfEPxaSnZHS/tIrIbI+6HrSegyloxdPz70vt5fN4OmgDSIyU3T9VTmzWDQZs0HN/cYaCJyVyxnq82RMlNciPmfiR6tvprKvyeccXI7KOOh5B8Mw3536UGtB9YNhBFJxDhUVwTX1vBlOfDGMxrw7wgCiUUeX/AuCBxDb7DDHBgt0bd64pvQ4cA8bRkA2oh7NfmbOqUcTip9cnyfI7kfJxucF/OjqtKjsc+yQqG8OLkdlHDhvIfIkoOJD5t3qkf84Fedm2FyV6GN+lfJLlJ4Qi/lbhoIXB8lhaJKHxznfBT7JBkt0VVoaZ9jYe94CYeNhF1zGBqqX2fi8hB+Z68OqfM7B5SEZ/WHzZnW5IicNR2YG9ZLFpeLMcO972cdecsJqaxaxZXGOKwDOcCLOdjBIdxwyc2g4q7+0UZbHut68NlTHTQjxWPkJ2a60pwfOOoDSiypP2kA6NY0M7Zfo2gyVIesMZWww959JCOyFy4AxyudQ72viMmUqweccXD6ScY32nUBBahqS7ahe1eFsnEUMWr04LBzDLzrHuUEU/hfMtaJBeeJgKcdYIM7gFExIz1++cMq8vIUyMerDOeVtgo4pH9df6PgBm47plf6trVgIOo3aIKOub0LBTmFcrPyeURSB6rlMqVRvF/FZ6cGhGi6HMp98pmbicw4uH8lonXcAnzJ5rxsUVgoLcLaH+EPJoJd6ZXsdMudWLChfev68kGKwVx3i4HCjQfchDnM5/ffm05NmMVpTxpCYh4I9HDhm+74XJ0RddTfFBrl0NR42vfdVS+XCkxBQ/bP6YLaaKsfSnZ3LKKxyLOKz0tfIZYo+xQ45+Gz1YwmXj2TcpQQh2AtZzMPbdd/nRSAVZwzPkHnr1AJp0O7zIRVDHD4uA8Gmhm+UzirLQRpdb3r+ukiez3ROTzgW96muj71EBcePTgwHdQOEOpgGkJx/dSNMPVY6Gg9G0G6yzzjR/dicMhibjbppOD5pA6VN0rWfkeRYAyamfz+6n58HAasnc5+ZJ+tRrDiqE7nr85Vk5uBzjVwG4pN2ED6L+SwZi7kck9F13l+FCvMuVnH8WjYEUnEmXd82JuvtkHYyOs5+ycrsA9FUIi5ozwpyWuzPtdlDTIfNPVZJD/a6m0i3iyN5EVC/McLDZO7DMIg83El2zDmj+2PFZC6ZYfo5IckGczLoxcXej6QnL4dpcerF8dPzIWD86/PylEZJ9Uh1IHd9vpLMHHx+ogLXxmVslGSHU8YduJ+DywcyrjsZMZdnLYTOZT/MjEAqzqRjCKcbzGkWX6cQnAnz2cyV4XC7gbn4sbluetxs/R47DwEeKMXLQ74TQmkbWCPGe98TjHOGKBfBZXAT52gczuaz0tXKZYpdks85uHwgo3HeMoA9fEuv3AXA3YQMOLf2CaTB2TE8DfHOEWzOG2fdBOnyWAe8o3uKTv0RAxojjUNHjjarl7fCt/Fb0gaWF8N7HjaEQKdumo3matemkywc4Lm5jP5L+FwjlylzKTtYPku4fCCjcd4qAC0Qgt28PfPf3Agswfm1lOk6MxZ7/SriD/Zwcyvfl6e8qS/0klk8xgOIwDA6Q+qDQXFx7Djptjy6xlA75zYE+XWQr0ubCaVtYHxscdoMEq7IRXEZcwa+zeKz0tTKZYpcks85uHwgw+a87eFQ1QcvQL+ysATn71RW/kL1THsWgv2sYyrfuQOtdYZ1ceBUrneB0Kf0eqgIL0N5WPz2ShutUisj51sLpW1wQNatgbFzfS6Ry5g0hc81cpmyluRzDi4fyDDnbauC7SYFWzXooU3lt+FWFg78zbmu9+dBV9WjsPBknINDjC5YKVyGg+ykFwtVsBk9buqPzcMfxOufhPLE4sau9ZOf5by0DchPG2U1R3GWck/JVHrujc8Xx2XsLDvO5rPS0PuO8TZ2bUp1KhIn6F3kmUpe2ihXMpf7Mq4DSiawiPOWEuRHD4v5WjZWQ+MA/tAxvbgsQbJoRW4pFMW5YMEZJmfYnAWPRerQwrLxsGGrITR6Clfw3WSQbnvk85a4nLs+18Tn3GVfk2M5uNzKuA6afhb2zY01tQ+ycaoMWbRBDwB64eTPXO7iEB4o9xYLyiugNM55tR+QJqwZvsdp20jKQMxtXJa+9C7OtlZgJgrWGLK6MzN5keh75LPZo9Qzc9CQuetzTXzOXfZBkPPcyMHlVoY5b2tFMnRdItC7/kfA950riyX4T6vps0QXVj1vLVi5SuFcrPyy2RfarGIVy3cHGVldsbqzxSLvkc9mD7PPFu2SrJPzORm6sYRWV6zujMUdutfKuA4xGicqg5VqReKkx/5T3nfqQwWJXlc5HujG1obM0bU0zlF8/GJVCBgnF3Fi5RLvkc/O5ZUr1QWKz8HlVsbdcwAk5zq0kAGne6X774f00j3+UmQPMlYpE17oelMo7elxf9tcvX07lQ3Dv9K9dnX2BDnoQlqGx3iFJ40B681/reO3kjH3DV1K5sERuCwExAPn82WZ1EtTAQJncd4xXPQAwFkynDA4b6o4OE+cKN9zboZotec1nLy7u3kFqM5x0LwkhL+9Mbd5tJpQ16bIoQHBUPA/2uPAeWlI46y1R1cW15GPDxULDA+rIWDDZNTBakLgiPO5Gou5ogUQyMHlVsa1SGa92AK6j2ZBL9c+dTkasXeTdHwcY8k8AiKH5LzTvUeS3/aydYxjJzDXNylsCOdJ+nokR2AhAhfLZ+fywprhybMg0O1521j6ScGh8ub8UhW952gvuauM8m161VwLOnylQ17sMSskyMGBx0JKw2cyzrEM/druELD6klLXJoEVuOR8/jQdNwk3RTLbTI3v8faNgNWXJVxuZXSd92RYRXYENMPUkxMNRJQs5rCvtD8a3o4lUTwKztA5w4ivtL3VNjvkkjM744QE0vUmIZkn2SgCsuedLakmfZzPhQziXC4EdKFszsnlJOedCxcVnLln5pVbx63jZvhb+6O55BD/pdLwvWlWuF5pz/zzyaB4vBSmmU/XnnyT5JzMaIUI0ndTD/sViugiLwCBwCvn84gtncsj4PitWQgw5912w2elXBhZ+eJ0+fhEf4EajtUm5fu54HD5GEfjuMPNdiEPMrXZ3LeVqy+D8zlyYulnX5Neps+92Yk9wZ4RsPpi9SeKheqXxYveX/si3FMeu+Czc3nt2nSx8o2jo1w+UfpWxll63qr8OFgWtDDPzXy3BRwxDrhdHGY3wt4U717moUHgHnPg5tjZP9IWC3PkoNNQYyIm2685AkUREF+oz7z06L22LNNZcwqgPJ3PcwDzuI5ABgTO4rylN44bwjfz3b1y2Eru3uXmlAfTcz0s+LIWw+rI4DWXn2ujN81/ue0vZHzk5Dc2Xedat5FwUo7i86a3N9rTOOCl8hwzSkADwf7XynvZ6W3YuW55cASyIkDjkTDYgFT9o35Sx6mzbB+bFOV+nM/lsPac6kXgJJcnFK2VYc4bssd6oxNkzY+ih0tS70DpcOwxR9kfem+UUvxY3KsZcmIr2dEh9b3YRXGebxlPsUEEJvFSdZq5Zqacigflu0c+O5eL17TqM5zE5ROlbGVch4hNq14kbG+cEOC30xBwnNNw81S3o0encGAUCKfiYX0EnMvrY3ypOTSjwwsL98GctwmzLvlCuZ58AAHHeQAYvzyIAFNDhFGnHBref91G9d8CCDiXC4B8YVlM4vKJMrcy+s7bbpxI77cTETDCO86JAO4wWdOglnO2ujMEwRPFGVroOZTGr6cjYPZwLqdjuLeUU7k8hksrw5y3teq9Io7Btvye47wcw71JuKcCW70ZLLscd+o6jEGZfmMUAbOJPzNHYfKbHQQmcbkTP3bYyjDnzUc8CF/c7vx3JQQc55WAvUSxcsjmGJr51UssY8Vlci5XbLzSqufgcl+GrTb3IaAy1nSceziHCsm/BejJMGfL++vbL7jpeM/BnPf7PYOw0bI7lyOGcT5HQLm9lIPLBzKuQ1b24Q27OaiB31iEgOPcgU9E5yU6f2hrXl2rc+Zs+T8+5wwP7T0YH9/uHYgNlt+53DOK87kHyOFpDi4fyLhGvkCn10NL8gHnHtZBwHH+hKuwwDnzcg9epmO9GCJw/CFgxfmeg/1/2t4auGcsNlV25/KhOZzPh3hEznJw+UBG47xDRs0DQkYw7x7J3y9lQMBxvgWRL8PhwH/tYUpvnKFzD7dv87sSJ33YfJu1wbn8yS7O509YxI54M+dSLh/I6Dpvhi8JPDw9rIeA43yL7RPteLc9oz5N0DHOnMYjr6L1cDsS1h2VcEy2hYBz+ZM9nM+fsIgdMaq9lMsHMrrO24bmrGseU8CvLUdg9zgHJ42j7vcoeQDQOjWMlqNdqQRhYFNYPgqxXRtaPd31M9P5PF5Bc3A5JqN13rpJq4BekPe8x22x6K7jfABffyEW76JvHLpwYsU5vfC9BuPhq70CsPVyO5ePLOR8PoKkuZCDy0cyWucd8uRFD/dVKekVeVgPgV3jrPpFIxEn3TpnXeMLc5zbKl7e0710mEniqg18FIevhfVHJ6ot0IUqvmsuY1PVUefzeOXOweUjGX3nbZ/NjH2qc1w9vzsHAcf56uqhAMNBP9PGYhecNhX0M65pv9sep8pP45mWtg3L6tDDRhFwLt8axvkcqaA5uDwk4243P0XiLzq09L/V5u9J7oKT8dhxblvrsU+2xq5lRL8KUc3cvzR9UYW2O1bSuXxrfOFA7zvG3di1PdWYHFyOyuj3vAGVluQDGaMd0twT0gXL6jgXBLuyrJ5KX2tIV6b6LtV1Lu/S7JMKnYPLURkx523/uyWBh/UQcJzXw7ZayaHRzEpzphI81IGAc7kOOxXVMgeXx2QcOW9FZviDRRg+772iqR3nFcGtW3TTaFb9gIMeKkDAuVyBkc6jYg4uD8o4ct6hjHwo4p4qJQuHPKyHgOO8HrbVSRbfWKgG56gXHupCwLlcl71W1TYHl0/JiDpvJaL3TWV8vmoJdy7ccd55BTguPkPlzHX7YtFjbDZ9xbm8afOcQ7kcXB6VEXXelDQ8QP7W3nvfK5recV4R3IpEqx7cl7pMVflak4rs1lXVudxFY7/HObg8Rcag8w7Q8yDh84w8WDysh4DjvB62tUimlf1aXPP/dtdisbiezuU4Lnu6moPLJ2WMOu/wIGEIj083elgJAcd5JWArESv70+PmpSzfVaKyqzmAgHN5AJidXM7B5aky7tzc3JyEVcL4ytMb7X0u7iRa6REc53Tsak0pmzOqxdepHurYX4VaqyF7ejuXe4Ds4DQHl+fIGO15d/DmLTlPJdi+dNS55YcZEXCcM4JZiShGtX4Qt9xxV2KwiWo6lycCdUHRcnB5soxJzlsPFlafN++dviCgN1cUx3lzJllVIdmbv4bhuP0/3asiXV64c7k85ufMMQeX58r4P5w6atvwCcG+AAAAAElFTkSuQmCC\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( - 2 \\\\operatorname{atan}{\\\\left(\\\\frac{b - \\\\sqrt{a^{2} + b^{2}}}{a} \\\\right)}, \\\\  - 2 \\\\operatorname{atan}{\\\\left(\\\\frac{b + \\\\sqrt{a^{2} + b^{2}}}{a} \\\\right)}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"⎛       ⎛       _________⎞         ⎛       _________⎞⎞\\n\",\n       \"⎜       ⎜      ╱  2    2 ⎟         ⎜      ╱  2    2 ⎟⎟\\n\",\n       \"⎜       ⎜b - ╲╱  a  + b  ⎟         ⎜b + ╲╱  a  + b  ⎟⎟\\n\",\n       \"⎜-2⋅atan⎜────────────────⎟, -2⋅atan⎜────────────────⎟⎟\\n\",\n       \"⎝       ⎝       a        ⎠         ⎝       a        ⎠⎠\"\n      ]\n     },\n     \"execution_count\": 64,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sol1, sol2 = sympy.solve(e, x)\\n\",\n    \"\\n\",\n    \"sol1, sol2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 65,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAAoAAAAOCAYAAAAWo42rAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA0UlEQVQoFXWR0Q2CQBBEhVgAwQ60BLUCsQO0A+3BP/4MJWgLWgIdGCmBDiB2gG+OW0PIuckyO3Ozu5cj6vt+ZlEURenrFlyRJVojLTIjwht+BZ86ABNA2p66ib14BhMzee0Dqukm7ozggawlTOIFzzTdjBlCNzGJaqoii/1dBvr/m2pi6s+te2y3Lb/V48NQvdBE6woZbFurO9rKJOA0bXhHDBW5DBhtYmXP88C0CRjXaLW2OiPFHaEDczNTa+2RPEmb6+ND3RcMdoUtfAd3f+wLrOY/XeyA6s8AAAAASUVORK5CYII=\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0$\"\n      ],\n      \"text/plain\": [\n       \"0\"\n      ]\n     },\n     \"execution_count\": 65,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"e.subs(x, sympy.atan(a/b))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 66,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAAoAAAAOCAYAAAAWo42rAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA0UlEQVQoFXWR0Q2CQBBEhVgAwQ60BLUCsQO0A+3BP/4MJWgLWgIdGCmBDiB2gG+OW0PIuckyO3Ozu5cj6vt+ZlEURenrFlyRJVojLTIjwht+BZ86ABNA2p66ib14BhMzee0Dqukm7ozggawlTOIFzzTdjBlCNzGJaqoii/1dBvr/m2pi6s+te2y3Lb/V48NQvdBE6woZbFurO9rKJOA0bXhHDBW5DBhtYmXP88C0CRjXaLW2OiPFHaEDczNTa+2RPEmb6+ND3RcMdoUtfAd3f+wLrOY/XeyA6s8AAAAASUVORK5CYII=\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0$\"\n      ],\n      \"text/plain\": [\n       \"0\"\n      ]\n     },\n     \"execution_count\": 66,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"e.subs(x, sol1).simplify()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 67,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAAoAAAAOCAYAAAAWo42rAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA0UlEQVQoFXWR0Q2CQBBEhVgAwQ60BLUCsQO0A+3BP/4MJWgLWgIdGCmBDiB2gG+OW0PIuckyO3Ozu5cj6vt+ZlEURenrFlyRJVojLTIjwht+BZ86ABNA2p66ib14BhMzee0Dqukm7ozggawlTOIFzzTdjBlCNzGJaqoii/1dBvr/m2pi6s+te2y3Lb/V48NQvdBE6woZbFurO9rKJOA0bXhHDBW5DBhtYmXP88C0CRjXaLW2OiPFHaEDczNTa+2RPEmb6+ND3RcMdoUtfAd3f+wLrOY/XeyA6s8AAAAASUVORK5CYII=\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0$\"\n      ],\n      \"text/plain\": [\n       \"0\"\n      ]\n     },\n     \"execution_count\": 67,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"e.subs(x, sol2).simplify()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 68,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"ename\": \"NotImplementedError\",\n     \"evalue\": \"multiple generators [x, sin(x)]\\nNo algorithms are implemented to solve equation -x + sin(x)\",\n     \"output_type\": \"error\",\n     \"traceback\": [\n      \"\\u001b[0;31m---------------------------------------------------------------------------\\u001b[0m\",\n      \"\\u001b[0;31mNotImplementedError\\u001b[0m                       Traceback (most recent call last)\",\n      \"Cell \\u001b[0;32mIn[68], line 1\\u001b[0m\\n\\u001b[0;32m----> 1\\u001b[0m \\u001b[43msympy\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43msolve\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43msympy\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43msin\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mx\\u001b[49m\\u001b[43m)\\u001b[49m\\u001b[38;5;241;43m-\\u001b[39;49m\\u001b[43mx\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mx\\u001b[49m\\u001b[43m)\\u001b[49m\\n\",\n      \"File \\u001b[0;32m~/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/sympy/solvers/solvers.py:1112\\u001b[0m, in \\u001b[0;36msolve\\u001b[0;34m(f, *symbols, **flags)\\u001b[0m\\n\\u001b[1;32m   1108\\u001b[0m \\u001b[38;5;66;03m#\\u001b[39;00m\\n\\u001b[1;32m   1109\\u001b[0m \\u001b[38;5;66;03m# try to get a solution\\u001b[39;00m\\n\\u001b[1;32m   1110\\u001b[0m \\u001b[38;5;66;03m###########################################################################\\u001b[39;00m\\n\\u001b[1;32m   1111\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m bare_f:\\n\\u001b[0;32m-> 1112\\u001b[0m     solution \\u001b[38;5;241m=\\u001b[39m \\u001b[43m_solve\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mf\\u001b[49m\\u001b[43m[\\u001b[49m\\u001b[38;5;241;43m0\\u001b[39;49m\\u001b[43m]\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43msymbols\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mflags\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m   1113\\u001b[0m \\u001b[38;5;28;01melse\\u001b[39;00m:\\n\\u001b[1;32m   1114\\u001b[0m     solution \\u001b[38;5;241m=\\u001b[39m _solve_system(f, symbols, \\u001b[38;5;241m*\\u001b[39m\\u001b[38;5;241m*\\u001b[39mflags)\\n\",\n      \"File \\u001b[0;32m~/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/sympy/solvers/solvers.py:1744\\u001b[0m, in \\u001b[0;36m_solve\\u001b[0;34m(f, *symbols, **flags)\\u001b[0m\\n\\u001b[1;32m   1741\\u001b[0m \\u001b[38;5;66;03m# ----------- end of fallback ----------------------------\\u001b[39;00m\\n\\u001b[1;32m   1743\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m result \\u001b[38;5;129;01mis\\u001b[39;00m \\u001b[38;5;28;01mFalse\\u001b[39;00m:\\n\\u001b[0;32m-> 1744\\u001b[0m     \\u001b[38;5;28;01mraise\\u001b[39;00m \\u001b[38;5;167;01mNotImplementedError\\u001b[39;00m(\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;130;01m\\\\n\\u001b[39;00m\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;241m.\\u001b[39mjoin([msg, not_impl_msg \\u001b[38;5;241m%\\u001b[39m f]))\\n\\u001b[1;32m   1746\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m flags\\u001b[38;5;241m.\\u001b[39mget(\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124msimplify\\u001b[39m\\u001b[38;5;124m'\\u001b[39m, \\u001b[38;5;28;01mTrue\\u001b[39;00m):\\n\\u001b[1;32m   1747\\u001b[0m     result \\u001b[38;5;241m=\\u001b[39m \\u001b[38;5;28mlist\\u001b[39m(\\u001b[38;5;28mmap\\u001b[39m(simplify, result))\\n\",\n      \"\\u001b[0;31mNotImplementedError\\u001b[0m: multiple generators [x, sin(x)]\\nNo algorithms are implemented to solve equation -x + sin(x)\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"sympy.solve(sympy.sin(x)-x, x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Bisection method\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 69,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAABKUAAAGGCAYAAACqvTJ0AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAACBtklEQVR4nOzdd3gUVdsG8HtLdtM3vZFK74TQSwDpRSkxgCICNmwIqPgJvhZQEREVUECKvoiorxRpIkgRkCAtofceIIWQvmlbsnu+P0IWliQQIMmk3L/r2mszZ87MPLObLMnNmTMyIYQAERERERERERFRBZJLXQAREREREREREdU8DKWIiIiIiIiIiKjCMZQiIiIiIiIiIqIKx1CKiIiIiIiIiIgqHEMpIiIiIiIiIiKqcAyliIiIiIiIiIiowjGUIiIiIiIiIiKiCsdQioiIiIiIiIiIKhxDKSIiIiIiIiIiqnAMpYiIiIioXGVlZSE0NBRubm4IDg4ut+MYDIYKOQ4RERGVDYZSREREVCnl5eUhNDQUPj4+kMlkaNy4MUJDQ9GgQQP4+vqiY8eOWL9+vdU2ubm5CAkJwf/93/9JVHWBqVOnYteuXUXa161bBxcXF8TExFR8URVk165dmDp1qlWbk5MTjh49ioEDB5brsVUqVYUch4iIiMoGQykiIiKqlOzs7HD06FG88sorAIBNmzbh6NGjOHfuHE6fPg1bW1tERERgz549lm0UCgUCAwPh5eUlVdkAgGnTphUbSjk7OyMoKAj29vYVX1QF2bVrF6ZNmyZ1GURERFQFKKUugIiIiOhBubq6Yty4cdi5cyc2bNiAzp07AwDUajX++ecfiasrWffu3XHs2DGpyyAiIiKqFDhSioiIiKqk/Px8AIBcXvDrzPXr1xEaGgpHR0d069bNqu/cuXMRGhqKsLAwNG/eHMOGDSsSXkVHR6NXr14ICQlBSEgI+vbti6NHjxY57vbt2xEeHo7atWujRYsWaN++Pb744gtkZ2dj586dCA0NBQAsXLgQoaGhCA0Nxfbt2zF//nw0btwYMpkMP/74o9U+L168iGHDhiEwMBD16tVDq1atsGLFCsv6c+fOWZ3bihUr0LVrVwQEBKBr1644f/78PV+rwrpUKhXGjBmDb775Bp06dYKPjw9GjhyJ3NxcREdHo3///ggKCkKXLl1w4cKFIvvZsmULOnTogLp16yI4OBhDhw7FlStXLOuHDx+OhQsXAoDl3CMjI4vsZ8eOHejRowdCQkLQqlUrHDhwoEifQ4cOoV+/fggKCkJISAjCw8Oxffv2Iv3++ecftGrVCj4+Pmjfvj2+/vrre74WREREVIkIIiIiokrso48+EgDElStXLG2XL18WrVq1Ej4+PlbtQgjRtWtX0bVrV8vyL7/8Ijw9PUViYqIQQgidTieGDh0qRo8ebekTHR0tbG1txaRJkyxtb7/9tnBychIXLlywtK1fv17I5XKxePFiS9vy5csFAHHkyBFLGwDx0UcfFTmXK1euCABi6dKllrbY2Fjh7u4unnnmGWE0Gi3HUSgUYt68eUXOzcvLS8yYMcNyLu3btxfh4eHFvnZ3CwoKEn5+fmLlypVCCCHi4+OFs7OzeO6558SHH34ohBBCr9eL9u3bW72Gd557YU1Go1EMHz5c1KpVS6Smplr6Fb5fxRk9erRwdnYWb775pjCbzcJkMoknn3xShISEiPz8fEu/6OhoYWdnJyZPnizMZrMQQoh58+YJuVwu1q9fb+l3/vx5oVarxUsvvSRMJpMQQoi5c+cKLy8vERQUVKrXhIiIiKTDkVJERERUJfTv3x+hoaGoW7cu6tSpA7lcjg0bNtz3Lmt79+6Fq6urZZ4ptVqNjz76CL1797b0mTRpEuzt7fHJJ59Y2j7++GMIITBjxgwAgBACEyZMQIsWLfDSSy9Z+o0cORLt2rWzjNh6UB999BG0Wi1mz54NpbJgZoWBAweif//+mDJlCrKysqz6G41GvPXWW5ZzGTJkCPbs2QODwVCq47m5uWHo0KEAAD8/P3Tp0gU//vgj3njjDQAFk4VHRERg9+7dln0KITBx4kQ0bNgQr7/+OgBAqVRi1qxZiI+Px/z580t9vllZWZgyZQpkMhnkcjmGDx+OK1eu4PLly5Y+kyZNgqOjIz7++GPIZDIAwOuvv44mTZpg4sSJEEIAAD755BMIIfD5559bXv833ngDzs7Opa6HiIiIpMNQioiIiKqEwonOL168iJycHAwaNAgdO3bEd999d8/tevTogfPnz6Njx45YunQpUlJS0KRJE4wYMQJAwR379uzZg9atW8PW1taynb29PerUqYMdO3YAAM6fP4/Y2Fi0bdu2yDH279+P5s2bP9R5bdmyBbVr14anp6dVe4cOHZCVlYV9+/ZZtdeuXRsqlcqy7OHhASEEkpKSSnW8hg0bWi27ubnB3d0dHh4eljZ3d3erfZ4/fx5XrlyxzN1VKCAgABqNxvIalYa7u7vVubq7uwMAbty4AaDg/YiKikJYWBhsbGystu3QoQOuXLliubTw33//RZ06deDm5mbpI5PJ0LRp01LXQ0RERNJhKEVERERVjp2dHf7zn/+gefPmmDhxItLT00vsO2TIEGzbtg1ubm4YO3YsfHx88MQTT1iCjfT0dJhMJkRHR1vmQSp8pKWlwWw2AwBSUlIAwCoAKQspKSnF7rMwrElOTrZqd3R0tFouHCFkMplKdTwHBwerZZlMVqTt7n0Wnvv69euLvEYODg4wGo2lOnZxx7/7WOnp6TCbzaV6TRISEuDq6lqkn0ajKXU9REREJB3efY+IiIiqrLp16+Lw4cM4f/482rVrV2K/nj17omfPnkhOTsbPP/+MTz75BL169cLly5fh6uoKuVyOrl27Yu3atSXuo3AkUVpaWpmeg4eHR7H7TE1NBYAiI6ikUHjuTz/9NGbPnl2uxyp8P0rzmvj5+RXbLyMjo1xrJCIiorLBkVJERERUZV2/fh0A4OPjU2KfOXPmWO7u5unpiTfffBPvv/8+rl69ioyMDNjb2yM8PBzHjh2zjIoqtG7dOkybNg0AUL9+fQQHB+PgwYNFjjFo0CDs2rXLsqxUKi3zHl29ehV79+4tsb4+ffrg8uXLltFIhfbv3w8nJyd06NDhHq9AxSg89yNHjhRZt3jxYqtLKAsvuSs8/y1btjxQkFf4fhw5cqTICKz9+/cjJCQE9erVAwB06tQJly9fttq/EAKnTp0q/ckRERGRZBhKERERUZX0448/Yt++fRg8eDCCgoJK7Hf06FF8/vnnyM3NBQAYDAb8+++/aNmypeUSsVmzZiExMdEyuTkAnDt3DhMnTkRYWBiAgsvc5s6di2PHjmHJkiWW/S9atAhnz55F+/btLW0hISGIi4sDACxcuBDff/99ifVNnToVzs7OePvtt5Gfnw8A2LhxI/7880/MmDEDTk5OD/PylKnCc4+KisLSpUst7fv378eHH35oNc9WSEgIACAuLg6ZmZkYMmQIsrOzH+h4s2bNglarxbRp0yzvx8KFC3Hy5EnMmTPHMvn5+++/D5lMhsmTJ1sCxW+//RaJiYmPdL5ERERUQaS56R8RERHRveXm5ooWLVoIb29vAUA0atRItGjRQjRv3lwEBgaKli1biunTp4u8vDwhhBDXrl0TLVq0EA4ODsLBwUG0aNFCXLx4Ufzzzz9i6NChonHjxiI0NFQ0btxYjBo1SsTFxVkdLzo6WvTu3VvUqlVLhIWFic6dO4v169cXqWvbtm2ic+fOIjg4WDRv3lwMHTpUXL161arP+vXrRe3atUXz5s1Fhw4dxIULF8S8efNEo0aNBAAREBAgRowYYel/4cIFERkZKQICAkSdOnVEy5Ytxf/+9z/L+pSUlCLnlpubK959910REBBgeX2WLVtW7Gt5/Phx0aJFC2FjYyNcXV1F586dhRBCdO7cWbi6ugobGxvRokULcfbsWTFx4kSrfS5ZssSyn61bt4pOnTqJwMBAERYWJnr06CF2795tday8vDwxePBgERISIho1aiQ+/fRTIYQQbdu2tTrWxYsXxdy5c0WdOnUEAFGnTh0xY8YMy35iYmJEnz59RGBgoAgODhadOnUSW7duLXJuu3btEq1atRJeXl4iLCxMfPDBB2LUqFGW4+zYsaPY14SIiIikJxPi1n8/ERERERERERERVRBevkdERERERERERBWOoRQREREREREREVU4hlJERERERERERFThGEoREREREREREVGFYyhFREREREREREQVjqEUERERERERERFVOKXUBVR2ZrMZCQkJcHJygkwmk7ocIiIiIiIiIqJKTQiBrKws+Pn5QS4veTwUQ6n7SEhIQEBAgNRlEBERERERERFVKdevX4e/v3+J6xlK3YeTkxOAghfS2dlZ4mqIiIiIiIiIiCo3rVaLgIAAS6ZSEoZS91F4yZ6zszNDKSIiIiIiIiKiUrrfNEic6JyIiIiIiIiIiCocQykiIiIiIiIiIqpwvHyPiIiIiIiIiOgeMjIycO7cOZw/fx6Ojo4YMmSI1CVVCxwpRURERERERERUgmvXrmHmzJl48sknMWrUKJw6dUrqkqoNhlJERERERERERCUIDAzEjBkz0LRpUwBAly5dJK6o+mAoRURERERERER0D2azGdHR0bCzs0O7du2kLqfaYChFRERERERERHQPhw8fRlpaGsLDw6FWq6Uup9pgKEVEREREREREdA/bt28HAPTo0UPiSqoXhlJERERERERERPewbds2AAylyhpDKSIiIiIiIiKiEuh0Ouzduxdubm5o2bIlTp06hSFDhsDd3R1+fn545513kJ+f/8jHEULg1wPXkK1/9H1VFQyliIiIiIiIiIhKEBUVBZ1Oh8ceeww7d+7EW2+9hWeeeQbffvstZDIZvvzyS3z11VePfJwlUZfx3toTeHrxfhjyzWVQeeWnlLqAinD16lX83//9H5KTk5GSkgIbGxt8+eWXeOyxx6QujYiIiIiIiIgqscJL9+rWrYtVq1Zh06ZNUCgUAIDU1FSMHz8emzZtwrvvvvvQx1h/NB6fbToLABgU6geVsmaMIar2Z5mSkoLHHnsMY8eOxY4dO3Ds2DHUrVsXp06dkro0IiIiIiIiIqrkCic5P3LkCL7++mtLIAUA3t7eAACDwfDQ+//3YgomrToGAHihcwheDK/9CNVWLdV+pNQXX3yBtm3bWiYjk8lkmDVrFszmmjEUjoiIiIiIiIgeTkpKCo4ePQoAmDRpEuzt7a3Wnz9/HgDQvHnzh9r/6QQtXl5+CEaTwIDmvvhP/0aPVG9VU+1HSv3+++/o2rWrVVtgYCCCg4OlKYiIiIiIiIiIqoS///4bQgh07twZvXr1KrJ+5cqVAICnn376gfcdl56LMUsPIlufj/a13fD1sBaQy2WPXHNVUq1HSuXk5ODy5cswm8145plnEBsbC3t7e7z88suIjIwsdhu9Xg+9Xm9Z1mq1FVUuEREREREREVUihfNJvfjii0XWbdmyBSdOnED37t3RrVu3B9pvRq4Bo/97EDez9Gjg7YRFz7aGWqm4/4bVTLUOpTIyMgAA77//Pv7++2+EhYXh4MGD6Nq1K0wmE4YPH15kmxkzZmDatGkVXCkRERERERERVTZ///03ZDIZnnjiCat2vV6PiRMnwtvbGz/99NMD7VNnNOGFZTG4lJwDX40tfny+DTR2NmVZdpVRrS/fk8sLTu/xxx9HWFgYAKBt27YYMmQIZs+eXew2U6ZMQWZmpuVx/fr1CquXiIiIiIiIiCqHCxcuIDY2Fg0aNICbm5vVupdeegnJyclYu3YtatWqVep9mswC4/93BIeupsPZVollz7eFr8aurEuvMqr1SClPT0+o1Wr4+/tbtQcFBeHvv/8udhu1Wg21Wl0R5RERERERERFRJbVv3z4At++wBwDZ2dkYP348Tp48iejoaISEhJR6f0IITN1wCltPJ0GllOP70W1Q39upzOuuSqp1KKVUKtGhQwckJiZatSclJSEwMFCiqoiIiIiIiIioshsyZAhOnTqFzZs346WXXoJcLkdaWhqeeOIJLFmyBArFg80BNW/HRSzffxUyGTBneCjahrjdf6NqTiaEEFIXUZ7++usvPPXUUzhy5AhCQkJw9epVhIaG4ptvvsGzzz573+21Wi00Gg0yMzPh7OxcARUTERERERERUXWyfP9VfLDuJABg6hONMaZT6UdYVUWlzVKq9UgpAOjbty/mzZuHJ598Evb29sjPz8dXX31VqkCKiIiIiIiIiOhRbDyegA/XFwRS47vXrfaB1IOo9iOlHhVHShERERERERHRw9h9PhkvLIuG0SQwsn0gPhnUFDKZTOqyyl1ps5Rqffc9IiIiIiIiIiIpHL6WjpeXH4LRJPB4c19MG1gzAqkHwVCKiIiIiIiIiKgMnU/KwvM/RiPPaEJ4PQ98PSwUCjkDqbsxlCIiIiIiIiIiKiPX03Lx7A8HkJFrRMtAFyx6thVUSsYvxeGrQkRERERERERUBlKy9Rj134NI0upR39sRS8e0gb2q2t9j7qExlCIiIiIiIiIiekRZOiNG//cgrqTkoJaLHX56vh1c7FVSl1WpMZQiIiIiIiIiInoEuYZ8PP9jNE4laOHuoMLPL7aDj8ZW6rIqPYZSREREREREREQPSWc04eXlhxAdmw4nWyWWPd8WIR4OUpdVJTCUIiIiIiIiIiJ6CEaTGeN+PYKoCymwVynw43Nt0bSWRuqyqgyGUkRERERERERED8hkFnhzxVFsP5MEtVKO70e3RqsgV6nLqlI4BTwRERERERER0X2YTCZERUUhMTER3t4++DNZg43HE2GjkGHhyFboWMdD6hKrHIZSRERERERERET3sGbNGkyYMAFxcXGWNoWTB9x7jsWCaePwWEMvCaurunj5HhERERERERFRCdasWYPIyEirQAoATFkpuLl2BnQX9klUWdXHUIqIiIiIiIiIqBgmkwkTJkyAEKLY9TIZMHHiRJhMpgqurHpgKEVEREREREREVIyoqKgiI6TuJITA9evXERUVVYFVVR8MpYiIiIiIiIiIipGYmFim/cgaQykiIiIiIiIiomL4+vqWaT+yxlCKiIiIiIiIiKgYibZBUDh5lLheJpMhICAA4eHhFVhV9cFQioiIiIiIiIjoLiujr+O99afh1mMsABlkMpnV+sLlOXPmQKFQSFBh1cdQioiIiIiIiIjoDqtiruPdNcchBPDqmKexevUq1KpVy6qPv78/Vq9ejYiICImqrPqUUhdARERERERERFRZ/H4oDv/3e0Eg9Wz7IEwd2AQyWVMMHjwYUVFRSExMhK+vL8LDwzlC6hExlCIiIiIiIiIiArD2SBwmrT4GIYCR7QPx8aAmlsv0FAoFunXrJm2B1Uy1DqWmTp2KdevWwcXFxdKm0Wiwfv166YoiIiIiIiIiokpn3ZF4vL2yIJAa0S4QHw9sWmQeKSpb1TqUAgomHGOSSUREREREREQlWX80Hm+tPAqzAJ5uG4BPBzWFXM5AqrxxonMiIiIiIiIiqrE2HEvAmysKAqnhrQMwfXAzBlIVpNqPlCIiIiIiIiIiKs7vh+LwzupjMAtgaCt/zIhgIFWRqv1Iqf/+97/o1q0bOnXqhNGjR+PSpUtSl0REREREREREEvvfwWuYdCuQeqpNAGY+2ZyBVAWr1qFUYGAgWrZsie3btyMqKgohISFo1aoV4uPjS9xGr9dDq9VaPYiIiIiIiIio+vhpXyymrDkBIYBRHYLw2RCOkJKCTAghpC6iophMJtSqVQsvvPACpk+fXmyfqVOnYtq0aUXaMzMz4ezsXN4lEhEREREREVE5+j7qMj798wwA4MXOIfjPgEa8y14Z02q10Gg0981SqvVIqbspFAoEBwff8xK+KVOmIDMz0/K4fv16BVZIREREREREROVl/s6LlkDqtW51GEhJrFqHUhMmTCjSlpCQgICAgBK3UavVcHZ2tnoQERERERERUdUlhMDX285j1pZzAIA3e9bHO30aMJCSWLUOpTZs2IANGzZYlr///nvcvHkTzz//vIRVEREREREREVFFEUJg5l/n8M3fFwAA7/ZtiAk96zGQqgSUUhdQnqZPn445c+Zg9uzZ0Ov1UKlU2LZtGxo1aiR1aURERERERERUzoQQ+HjjaSz9NxYA8MHjjfFC5xBpiyKLGjXR+cMo7eRcRERERERERFR5mMwCH6w/iV8PXAMAfDK4KZ5tHyRxVTVDabOUaj1SioiIiIiIiIhqHqPJjLdWHsMfxxIgkwGfRzTD8DaBUpdFd2EoRURERERERETVRp7BhNd+OYSd55KhlMswe3gonmjhJ3VZVAyGUkRERERERERULWh1Rrz4YwwOxqbB1kaO70a2wmMNvKQui0rAUIqIiIiIiIiIqrzUbD1GLz2Ik/FaOKmV+GFMG7QNcZO6LLoHhlJEREREREREVKUlZuZh5PcHcCk5B+4OKix7vi2a1tJIXRbdB0MpIiIiIiIiIqqyrqTkYOT3BxCfkQc/jS2Wv9gOdTwdpS6LSoGhFBERERERERFVSacTtBj134NIydajtocDlr/YDrVc7KQui0qJoRQRERERERERVTmHrqbhuaXR0Ory0djXGT+90BYejmqpy6IHwFCKiIiIiIiIiKqU7aeTMO5/h6EzmtE6yBU/jGkDjZ2N1GXRA2IoRURERERERERVxoroa3hv7UmYzAKPNfDEgmdawU6lkLoseggMpYiIiIiIiIio0hNCYN6Oi/hq23kAwNBW/vgsohlsFHKJK6OHxVCKiIiIiIiIiCo1k1lg6oZTWL7/KgDg9cfqYFLvBpDJZBJXRo+CoRQRERERERERVVo6owkTfzuKv07dgEwGTH2iCUZ3DJa6LCoDDKWIiIiIiIiIqFLKzDPipZ9icPBKGlQKOWYPD8WA5r5Sl0VlhKEUEREREREREVU6NzJ1GP3fgziXlAUntRKLR7VGhzruUpdFZYihFBERERERERFVKhdvZmH0f6MRn5EHLyc1fnyuLRr7OUtdFpUxhlJEREREREREVGnsv5yKl5cfQmaeEbU9HLDs+bYIcLOXuiwqBwyliIiIiIiIiKhSWHckHu+sPgajSaBloAt+GN0Gbg4qqcuicsJQioiIiIiIiIgkJYTAvB0X8dW28wCA/s188PWwUNjaKCSujMoTQykiIiIiIiIikozRZMZ7a05g1aE4AMDLXWrj3b4NIZfLJK6MyhtDKSIiIiIiIiKShFZnxGs/H8aeiymQy4Bpg5ri2fZBUpdFFYShFBERERERERFVuLj0XDz/YzTOJ2XDXqXA/BFheKyhl9RlUQWSS11ARfr2228hk8mwa9cuqUshIiIiIiIiqrFOxGViyIK9OJ+UDS8nNVa+3IGBVA1UY0ZKJSQk4Msvv5S6DCIiIiIiIqIa7e8zSRj36xHkGU1o6OOE/45pAz8XO6nLIgnUmJFSb7zxBqZMmSJ1GUREREREREQ1khACS3Zfxos/xSDPaEJ4PQ+seqUDA6karEaMlPrjjz9gY2ODvn37Sl0KERERERERUY1jyDfjP2tv32Hv6bYB+HhQU9goasxYGSpGtQ+lcnJy8J///AdbtmyBXq+/b3+9Xm/VT6vVlmd5RERERERERNVaWo4Bryw/hIOxaZDLgPcHNMZznYIhk8mkLo0kVu0jyQ8++ACvvPIKfH19S9V/xowZ0Gg0lkdAQEA5V0hERERERERUPZ1PysKg+XtwMDYNTmol/jumDZ7vHMJAigBU81DqyJEjOHDgAF555ZVSbzNlyhRkZmZaHtevXy/HComIiIiIiIiqp51nbyJiwV5cT8tDoJs91rzWEd0a8A57dFu1vnxv48aNyMvLQ/fu3QEAOp0OADBx4kS4uLjg+++/R926da22UavVUKvVFV4rERERERERUXUghMAPe67gs01nYBZAuxA3fDeyFdwcVFKXRpWMTAghpC6iosTGxiIkJAQ7d+5Et27dSrWNVquFRqNBZmYmnJ2dy7dAIiIiIiIioirMkG/Gh+tP4rfogquOhrcOwCeDm0KlrNYXatFdSpulVOuRUkRERERERERUMVKy9Xjtl8M4eKVgQvP3+jfCC5w/iu6hxoRSEydOxP79+y1fN2zYEL/99pvEVRERERERERFVfSfiMvHy8hgkZOrgqFbim6dD0b2ht9RlUSVXY0KpOXPmSF0CERERERERUbWz9kgcJv9+Avp8M0I8HLBkVCvU9XKSuiyqAmpMKEVEREREREREZSffZMaMzWfxw54rAIDuDb0we3goNHY2EldGVQVDKSIiIiIiIiJ6IGk5Boz79TD2XkoFALzRvS7e7Fkfcjnnj6LSYyhFRERERERERKV2OkGLsctjEJeeB3uVAl8Pa4G+TX2lLouqIIZSRERERERERFQqG44l4P9WH4POaEaQuz0WP9saDXw4fxQ9HIZSRERERERERHRP+SYzZm05h0W7LwMAutT3xLdPtYTGnvNH0cNjKEVEREREREREJUrO0uON/x3G/stpAIBXu9XBpN4NoOD8UfSIGEoRERERERERUbFiYtPw2i+HcTNLDweVAl9EtsCA5pw/isoGQykiIiIiIiIisiKEwNJ/Y/HZpjPINwvU83LEdyNboa6Xo9SlUTXCUIqIiIiIiIiILLL1+Xj39+P483giAGBgCz/MiGgGBzUjBCpb/I4iIiIiIiIiIgDAhaQsvPLzIVxKzoGNQob3BzTGqA5BkMk4fxSVPYZSRERERERERIQNxxIw+ffjyDWY4ONsi/nPhKFVkKvUZVE1xlCKiIiIiIiIqAYz5Jvx2aYz+HFvLACgU113fPNUS7g7qqUtjKo9hlJERERERERENdS11FyM+99hHI/LBACMe6wu3uxVHwo5L9ej8sdQioiIiIiIiKgG2nQiEe+uPo4sfT5c7G3w1dAW6NHIW+qyqAZhKEVERERERERUg+iMJkz/8wyW778KAGgd5Ipvnm4JPxc7iSujmoahFBEREREREVENcSUlB6//chinE7UAgNe61cGbverDRiGXuDKqiRhKEREREREREdUA64/G4701J5BjMMHNQYXZw0PRtb6n1GVRDcZQioiIiIiIiKgayzOYMO2PU/gt+joAoF2IG755uiW8nW0lroxqOoZSRERERERERNXUuRtZGP+/IziXlAWZDHjjsboY36MelLxcjyoBhlJERERERERE1YwQAsv3X8X0P89An2+Gh6Mac4aHonM9D6lLI7JgKEVERERERERUjaRm6/F/q4/j77M3AQBd63viy6Et4OmklrgyImvVOpRav349lixZAr1ej7y8POTl5eHdd9/FsGHDpC6NiIiIiIiIqMxFXUjGWyuPITlLD5VCjsn9GmJMx2DI5TKpSyMqolqHUt999x1GjBiBUaNGAQD++OMPDB48GI0aNUKzZs0kro6IiIiIiIiobOjzTfhyyzksiboCAKjn5Yi5T7VEYz9niSsjKlm1DqWmT5+OFi1aWJa7desGs9mMixcvMpQiIiIiIiKiauHizWxM+O0ITiVoAQAj2wfiP/0bw06lkLgyonur1qFUq1atLF8bjUbMmjULjRs3Rq9evSSsioiIiIiIiOjRCSHwW/R1fPzHaeQZTXC1t8EXkS3Qq7G31KURlUq1DqUKvf766/jll1/QpEkTbNmyBY6OjlKXRERERERERPTQkrP0mLLmOLafKZjMvHNdD3w1rAW8nW0lroyo9ORSF1AR5s+fj9TUVPTo0QOdOnVCYmJiiX31ej20Wq3Vg4iIiIiIiKiy+OtkIvrM2Y3tZ25CpZDjvf4N8dPzbRlIUZVTI0IpAFAoFJg6dSqEEPj6669L7DdjxgxoNBrLIyAgoAKrJCIiIiIiIiqeVmfEWyuP4pWfDyMtx4BGvs7Y8EYnjO1Sh3fXoypJJoQQUhdRXgwGA1QqlVVbjx49YGtriz///LPYbfR6PfR6vWVZq9UiICAAmZmZcHbmXQuIiIiIiIio4v17MQXvrDqGhEwd5DLgla51MKFnPaiVnMycKh+tVguNRnPfLKVazykVFhaGkydPWrUlJiaiU6dOJW6jVquhVqvLuzQiIiIiIiKi+9IZTZj511ks/TcWABDkbo+vh7VAqyA3aQsjKgPV+vK906dPW42I+vnnn3Hu3DmMHj1awqqIiIiIiIiI7u/Y9QwM+CbKEkiNaBeITePDGUhRtVGtR0rNnTsX06dPx+effw6TyQSZTIYNGzagc+fOUpdGREREREREVCyjyYz5Oy/i2x0XYTILeDqp8UVkczzWwEvq0ojKVLWeU6oslPY6SCIiIiIiIqJHdSohE++sOo7TiQV3gh/QzBefDm4KVwfVfbYkqjw4pxQRERERERFRFWHIN2PezotYsPMi8s0CGjsbfDyoCQa28INMxjvrUfXEUIqIiIiIiIhIQifiMvHO6mM4eyMLANCniTc+GdwUXk62EldGVL4YShERERERERFJQJ9vwtztF7Bo92WYzAJuDip8PKgJBjTz5egoqhEYShERERERERFVsKPXM/DOqmO4cDMbADCguS8+HtgE7o5qiSsjqjjlEkplZWUhOzsbdnZ20Gg0THiJiIiIiIiIAOiMJszedh5Loi7DLAAPRxU+HdwUfZv6Sl0aUYUrk1Dq+vXr+O2337Bp0yYcPXoUWq3Wsk6tVqNRo0bo3r07hg4dirZt25bFIYmIiIiIiIiqlINX0jB5zXFcTs4BAAwO9cNHTzThnfWoxpIJIcTDbnzt2jW89957WLlyJfLz8+9/MJkM4eHhmDNnDkJDQx/2sBWqtLcxJCIiIiIiIipOZp4Rn28+i/8dvAYA8HJSY/qQZujV2FviyojKR2mzFPnDHmDBggVo3LgxLl68iClTpmDt2rU4efIkkpOTkZubC5PJBJ1Oh/T0dJw9exZ//fUXpk+fDrPZjHbt2mHWrFkPe2giIiIiIiKiSk8IgT+PJ6Ln1/9YAqmn2wZg25tdGUgR4SFHSr322ms4ffr0Q494Onr0KMaNG4eWLVvi22+/feDtKxJHShEREREREdGDSsjIwwfrTuLvszcBALU9HTBjSDO0q+0ucWVE5a/cRkq988478PT0xK5dux76ErzQ0FBERUVBpVLh008/fah9EBEREREREVU2JrPA0n+voNfX/+Dvszdho5BhfI962DQ+nIEU0V0eKJTasGEDvLy8MG3atEc+sEwmw1dffQUA2L179yPvj4iIiIiIiEhKpxO0iFjwL6b9cRo5BhNaB7li0/hwvNWrPmxtFFKXR1TpPFAoFR4ejnfeeadMC3j//ffRqFGjMt0nERER0aNo0qQJPD09IZPJoFKp4OPjAx8fH3h6esLR0RHNmzfHxx9/jJycHKlLpYe0detWaDQaLF26VOpSylRubi58fHyg0Wggk8nw448/Sl3SI9HpdPjggw9Qp04deHl5ISQkBO++++5D/eyZTCZ899136NChAwIDA+Hi4oI6dergqaeewrFjx4r0P3bsGIYPH47atWvDy8sLtWvXxtNPP41Tp04Vu//MzExMmzYNzZo1g7e3N/z8/NCpUyf88ssvMJvND1wvVS15BhNm/nUWT8zbg2NxmXBSK/Hp4KZY+XIH1PN2kro8okrrgUIpV1fXEtdptVoYjcaHKsLT0/OhtiMiIiIqD6dOnUJ0dDQAoGPHjrhx4wZu3LiB5ORkJCQkoEuXLvjoo4/QvXt3mEymCq0tODgYwcHBFXrM6ig7OxtZWVnIzMyUuhSLsnhv7e3tcePGDcydO7dsiioDU6dOhUwmw65dux5oO6PRiH79+uH777/HqlWrcPPmTWzYsAG//vorevToAZ1OV+p96XQ69OvXD8uXL8f333+Pa9euISUlBa+99hpWrFiBI0eOWPXftWsX2rRpg7i4OOzcuRM3b97Erl27cO3aNbRq1Qp79uwpsv/OnTtj5syZmDFjBm7cuIHY2Fj07dsXI0eOxBtvvPFA505Vy/bTSeg1+x98t+sSTGaBfk19sP3trhjZPghyuUzq8ogqtYe++97dmjdvjiFDhpS4/syZM2V1KCIiIiLJODs7Y+7cuQgODsbBgwfx559/Sl0SPYSIiAjk5uZi4sSJUpdCJfj222+xa9cuzJw5E2FhYQCAZs2a4auvvsKBAwfw5ZdflnpfkydPxuHDh7Fp0yY0adIEAKBUKvH2228jMjISHh4eVv0/++wzGI1GLFiwAEFBQQCAwMBALFiwAHq9vsi8uGvWrMHJkyfx8ssv4/HHH7eMsvzggw8QGhqK7777DomJiY/yclAldD0tFy8ui8aLP8UgLj0PfhpbLH62Fb4b2QrezrZSl0dUJZRZKKXRaNCwYcMS1+/duxdffPFFWR2OiIiISDIKhcJyw5fTp09LWww9NFtb/tFYmc2fPx9KpRKRkZFW7YMHD4adnR0WLFhQqsvibt68ifnz52PkyJFwcXEpsn7VqlV4/PHHrdquX78OAKhfv75Ve7169QAAV69eLVX/wm2EELh27dp9a6WqQZ9vwrwdF9Br9j/YfuYmlHIZXulaB9vf7oreTXykLo+oSimzUGrhwoW4du1aif8wvPDCC8jIyMCUKVPK6pBEREREkin8ncfb27vIuqNHjyIyMhK+vr7w9vZGSEgIxo8fj+Tk5GL3tWbNGnTt2hWenp7w8vJC8+bNMWvWLKupEX766Sf4+Pjg+vXruH79umWeKx8fH1y8ePGetWq1WsyYMQOdOnWCv78/XF1dUadOHUyaNAlZWVlWffv27WuZT2vMmDH45ZdfEBYWBl9fX7i6umL48OFWf5Bv374dPj4+sLOzg0wmw/79+zFmzBgEBwfD2dkZjRs3xqJFi6yO8dJLL8HHxwcymQzdunXD4cOH0atXL9SqVQsymczqErasrCy8//77aNCgAby9veHt7Y3+/fvjn3/+sfSJjY2Fj48PlEolZDIZPDw8sGLFCgBAnTp1YGdnBwcHB8sImeeee87q+IWWLl0KHx8fqFQqyGQyJCUlYfjw4fD19YWHhwdGjx5tmbJi0qRJqF27Ntzd3TFkyBAkJCQUed3XrVuHoUOHWuYk8vDwwMCBAxETE2PVr7TvrVarxZQpU1C3bl24ubnB3d0dffv2xY4dO+75/gPAkiVL4ObmBplMBnt7e/j4+FjmUTp48CB8fHygVquh0Wjw8ccf33NfFy5cwNtvv43mzZvDz88PGo0GLVu2xIIFCyCEsPTT6/Xw8fGxjGiKiIiwnNf06dPveYwrV67g8uXLqF+/Puzt7a3WqVQqNG3aFImJiaUKhdetW4f8/Hy0b9/+vn0LNW/eHEDR0Lnw6o9mzZqVqj8AnD17Fmq1utjAiqqePRdS0G9OFL7ceh46oxnta7th84RwTO7XEPYqpdTlEVU9ogwdOnRIjB49WsTGxlratFqt+PPPP8Xbb78tPD09hUajKctDlrvMzEwBQGRmZkpdChEREVWgK1euCACia9euRdYZDAYREBAgXF1dRVJSktW6zZs3C7VaLYYOHSrS0tKEEEKcOXNGNGrUSAQGBoq4uDir/h9++KEAIGbOnCn0er0QQog///xTODg4iN69ewuj0WjVPygoSAQFBT3QuURHR1uOYTQahdlsFnv27BE+Pj6iffv2wmQyFXvuPj4+YsCAAeLGjRtCCCGOHDkiAgIChK+vr0hISLDaZvTo0QKAqFu3rli9erUwGo0iLy9PvPPOOwKAmDp1apG6AIjatWuL/v37i2vXrgkhhPj2228t55eZmSmaNWsm/Pz8xIEDB4QQQmRnZ4tx48YJuVwuli5darW/GTNmCADi+eeft7Rdu3ZN+Pr6isOHDxd7/OLe365duwoAYujQoeLcuXNCCCG2bdsm5HK5GDp0qJg8ebLYv3+/EEKIw4cPC0dHR9GzZ88i+2nSpIno0qWLiI+PF0IIkZSUJCIiIoStrW2x9dzrvS18LQICAsS+ffuEEEJkZGSI559/XsjlcvHzzz9b9V+6dKkAYPUapaamCltbW9G4ceMi+8/NzRVubm7ixIkTxR7/TrNmzRIODg5iy5YtQgghjEaj+OGHH4RcLhf/93//V6T/Rx99JACInTt33nffhf78808BQPTq1avY9YMHDxYAxKpVq+67r7FjxwoAYtOmTeLDDz8UTZo0ER4eHqJu3bri5ZdfFlevXi2yzaVLl0SdOnVEmzZtxOnTp4XZbBZnzpwRbdq0EYGBgeLChQtFtnnuueeEra2tWLlypdDr9SIzM1O89957QqFQiPnz55f63KlySszIE6//ckgEvbtRBL27UbT6ZJtYdyROmM1mqUsjqpRKm6WUaSglhBAHDhwQDRs2FM8++6xo3bq1sLGxEXK5XMhkMqFQKMQrr7xS1ocsVwyliIiIaqaSQqmEhATx0ksviS5duhQJFnJzc4W3t7ewt7cXGRkZVus2b94sAIhBgwZZ2mJiYgQA0alTpyLHf/fddwUAMXv2bKv2hwmlTp06JZ544oki7fPmzRMAxObNm63aC8/d0dHREqwV+u233wQAMWbMGKv2wlDqvffes2o3m82icePGQqFQiEuXLlmtA1CkPS0tTfzwww9CCCHeeOMNAUAsWbLEajuj0Sj8/f2Fra2tVThmMplEt27dBADx008/CYPBINq3by++/PLLYl+X+4VSq1evtmrv1KmTkMvl4quvvrJqf/rppwUAS3hX6MknnxRHjhyxasvMzBQKhUIMHz68yHHv9d4WvhZ3hzB6vV7UqlVLuLu7i9zcXEt7caGUELffpx07dli1//DDD6JLly7FHvtuy5YtE9OmTSvSHhkZKWxsbIr83vwwodQvv/wiAIjBgwcXu/6ZZ54RAMTixYvvu6/HH39cABBeXl7imWeeEXFxccJgMIht27YJX19f4e7uLs6ePVtku2vXrolBgwYJAEKlUgkA4sknnywSyBbKz88Xn3/+uXB0dBQ2NjZCJpOJOnXqiE2bNpX6vKnyMeabxJLdl0TjDzaLoHc3ipDJG8VH60+KzDyD1KURVWqlzVLK7PK9jz/+GN7e3ujQoQPOnTuHn3/+GYcOHYKPjw9effVVrFixAjdu3MB3331XVockIiIiKnd79+61XHJkb28PPz8/7N+/H3PnzkXLli2t+m7duhVJSUno3r07NBqN1bo+ffrA0dERf/zxBzIyMgAAP//8MwAUe7OYwnl0fvrpp0c+h8aNG2PDhg1F2hs1agQAOH78eLHbtW3btsjdl/v16wcAWLt2bbHTNvTt29dqWSaToW/fvjCZTFi7dm2R/rVr10bt2rUty66urnj++echhMAvv/wCoOjro1QqMWjQIOh0OqxatcrSLpfLsXz5cri6uuLVV1/FqFGj4OjoiLfeeqvY87ufzp07Wy0HBgbCbDajU6dOVu2FE2HfPWfQ6tWrLXOPFXJ2doafn1+Jr3lxCl8LuVxe5PVVqVQICwtDamoq/v333/vu67XXXgMALFiwwKr9u+++w+uvv16qekaNGoUPP/ywSHujRo1gNBpx9uzZUu3nUYhblwnKZPe/s1leXh4AwM7ODkuXLkWtWrVgY2ODnj17Yvbs2UhNTS0y4f2ff/6JFi1aIDs7G2fPnkVeXh4uXrwInU6HVq1aFbmTYHJyMrp06YJZs2Zh+fLl0Gq1yMjIwPjx4zF48GC8++67ZXLeVLH2XEhBv7lR+PTPM8gxmBAa4IIN4zpj6sAmcLa1kbo8omqhzC56nTlzJgwGAzp06IDw8HB07twZ9erVwwcffIDw8HAMHTq0rA5FREREVGE6duxo+QM0NzcX06dPx2effYbevXvj3LlzVqHNuXPnAAC1atUqsh+ZTAY/Pz+cP38eFy5cQJs2be7Zv7CtsM+jWr16Nb7//ntcuHABWVlZkMvlMBgMlvMqjp+fX5E2Z2dnODs7IzMzE8nJyUXm1CpuG39/fwAodu4rH5/iJwVOTk5GWloa1Go13N3di6wv6fXx9/fH4sWLMXToUKxevRpXrlwpVXBRHE9PT6tllUpVbLtarQYA5OTkWLWfPXsWs2fPxt69e3Hz5k1LHcnJyQgICCh1HYWvhUwmQ926dYus1+v1cHBwKHZeq7u1bdsWrVu3xrp165CQkAA/Pz8cOHAAcXFx97yT9p1yc3OxePFirFy5EtevX4fBYIBMJkN2drZl/aMqnJD87tf0zhru7HcvDg4OAICePXvCxsY6SCic4Hz79u3Q6XSwtbVFWloann32WZjNZqxatcryM16nTh389ttvqFOnDiIjI3Hu3DnL9+Y777yDvXv34r///S8GDx4MoGAi/fHjx+Ps2bP44osv0KhRI4wZM+ZBXgaSyPW0XHz652lsOZUEAHC1t8H/9W2I4a0DIJc/3OcJERWvzEZKtWnTBhcvXsSePXswY8YMDBgwAPXr18eKFSuQlJSEt99+22qyTiIiIqKqxt7eHtOnT0ePHj2QnJyMWbNmWa0Xd0zyXBoP2v9hffjhhxg6dCg0Gg2ioqJw8+ZN3LhxA2vWrHmo/en1egClG6UCADqdrsT+cnnxv44+yEiYu7Vv3x729vbIz8+3jEZ7GCXVVlL7nU6ePIlWrVph48aNWLhwIRISEnDjxg3cuHHjgQIp4PZroVKpLPu485Geno7s7GyMGjWqVPt79dVXkZ+fj8WLFwMoGDU1duzYIoFNSfr164c333wTAwcOxJkzZ5CUlIQbN25g0qRJD3Re91I4ii8+Pr7Y9YXt97r7d6HCifPvDhOBgsDK0dER+fn5SEtLAwAcOHAA6enpCAsLKzJS0NHREW3btkVqaip2795tad+8eTMAoEePHkWOUdhW3EhBqlxyDfn4css59Pj6H2w5lQSFXIYxHYOxc1I3PN02kIEUUTkos1BqwIABxd59BgDGjx+PUaNGYcSIEUhJSSmrQxIRERFJ4uuvv4ZcLse8efMsf8gCt/+QjouLK7KNEAIJCQmQy+WW28rfq39hW2n+6L6f+fPnAwC++eabYkcylSQxMbFIW2pqKvR6PTQaDTw8PEq1TeEInuJG+ZTEy8sLbm5u0Ol0xf7+WNLrYzab8eyzz+K9995DgwYN8OGHH+LQoUOlPm5ZWbp0KXJzczF+/Hh06tQJCoXioffl5eUFd3d36PV63Lx5s8j6nJwcbN++HZmZmaXa39NPPw1XV1csWbLEEk6OHTu2VNueOHECu3fvRsOGDTF58mQ4Ojo+0LmUVkhICGrXro3z588XGXllMBhw8uRJ+Pr6onHjxvfdV5cuXQAAN27cKLIuNzcX2dnZUCqVcHNzAwDLiK+SAtHC9sLLcO+3TXH9qXIRQmD90Xh0//IfzNt5EYZ8MzrVdcem8eGYOrAJXOxVUpdIVG2VWSg1atQoy/+aFadFixZo1aoVhg8fXlaHLJWVK1eid+/e6NGjB9q0aYMnn3wSly9frtAaiIiIqHpp3rw5RowYgaysLMyZM8fS3qtXL3h7e2PHjh1IT0+32mbLli3Izs7GwIEDLZccjRw5EgDw+++/FzlGYdvdo18cHBysRp8vXboUK1euvGe9JY2AiY2Nved2Bw4cKPKH9Lp16wAAERERxY4Y2rJli9Wy2WzGH3/8AYVCUerLw4CCP+RLen3y8/Oxfv162NnZWebeKvTFF19ArVbjvffew//+9z/IZDKMGDGixMvAyktJr7lery82HAFKfm/vfC1WrFhRZLsffvgBw4cPt1xGeD92dnYYPXo0EhISEBkZib59+xZ7CWlx7jWaqqTvp8LL5wrP7cyZM3j77bfve6zXX38d+fn5WL16tVX7unXrkJeXh1dffbXI92BKSkqREGvAgAHw9/fH1q1bLZesFir8fu3Xrx9sbW0BFFziKJfLceTIEWRlZVn1z8vLQ0xMDACgXbt2lvb27dsDAP75558i51E4oqqwD1UuJ+MzMWzRPkz47ShuaHXwd7XDwpGt8PML7dDAx0nq8oiqv/Kdb91akyZNhL29fUUeUtjY2FhuV2symcTo0aNFvXr1RF5eXqm25933iIiIaqaS7r5353qVSiU0Go1IT0+3tG/evFmo1Wrx5JNPitTUVCGEEGfPnhWNGjUSAQEBIi4uzmo/H374oQAgZsyYIfR6vRBCiE2bNglHR0fRu3dvYTQarfo/9dRTQqlUioSEBJGVlSXq1asnvvnmm3uey6RJkwQAMXz4cEutx44dEyEhIQKA+Oijj4o994YNG4ohQ4aIpKQkIYQQR48eFQEBAcLX17fIHcgK7+rWvn17sXbtWpGfny/y8vLEO++8IwCIqVOnFqnrXq+vEAW/hzVr1kz4+PiI/fv3CyGEyM7OFuPGjRNyuVz8+OOPVv2jo6NFrVq1rO6C98UXXwgA4sUXXyz18Qvvvne3wnO8cuWKVXtxd5c7dOiQUKlUwtfXV8TExAghhNBqtWLMmDECQLF32bvXe6vVakWLFi2Eu7u72LZtmxCi4Hfb1atXC0dHxyKvRUl33yt07tw5IZPJir0T372YTCbRtm1bAUDMmjVLGI1GYTabxe+//265Q93dd9n766+/LP2FEGLy5MkiLCzsvscyGAyiW7duwsfHx3KnyxMnTgh/f3/Rtm1bq7sNCiHEvn37hFKpFL6+viInJ8dq3datW4VKpRIjR44Uqampwmw2i/3794vAwEDh6+srLl++bNW/8O6XgwYNsnyvJyUlieHDhwsARe4oHh0dLRwcHISvr6/YsWOHMJlMwmAwiB9//FGoVCoRGBho+TmiyiE5Sycm/35MBE/eKILe3Sgavr9ZfPv3eZFnyJe6NKJqobRZygOFUtu3by9yW+AH8dVXX4lvv/3Wqi01NVX8/fffD73P+4mMjLRajo6OFgDEv//+W6rtGUoRERHVPI0bNxYeHh4CgLCxsRHe3t5i4MCBRfqNHz9eABCurq7C29tb6HQ6IYQQhw8fFhEREcLb21t4eXmJoKAgMW7cuBL/KF29erUIDw8XHh4ewtPTUzRt2lR88cUXwmAoesvxS5cuiccee0y4u7sLPz8/MWrUKMtxS2IwGMRnn30mGjRoIOzs7ERgYKAYPHiwmDdvngAgHBwchLe3t+X3ncJQavTo0WLz5s2iXbt2wtfXV7i4uIhhw4YVCWWEuB3YHDt2TLz++usiJCREODk5iUaNGomFCxda9Z0yZYrw9va+7+srREEY895774l69eoJT09P4enpKfr27St27dpl1a927drC3t5e2NnZiZYtWwohCgJCLy8vAUAAEN7e3mL16tVizJgxRY6/bNky8ccffwhvb29hY2Nj6f/pp5+KCxcuCG9vb2FraysACA8PD/Hyyy8LnU4nvL29hYODg+X74M6Qa+fOnaJbt27CxcVFeHh4iNDQUPHTTz+JwMBAIZfLhbe3t1i8eHGp39usrCzx/vvvi/r16wt3d3cREBAgevToITZv3mzpk5OTI7y9vYWzs7MAIJydna2+N+/Us2dP0ahRoxK+a0qWlJQkxo4dKwICAoSDg4OoU6eOeOONN8Trr79ueR169Ohhtc1bb70lfH19hbe3t2jTpo2Ijo4u1bHy8vLEf/7zHxESEiI8PT1FUFCQeOedd0R2dnaRvqdPnxbe3t6ibdu2loD3TjExMWLgwIHCzc1NuLi4iJCQEPHGG29YhZh3WrFihejRo4dwdXUVLi4uwsXFRXTp0kX8+OOPwmw2F+l/7tw58dxzz4mgoCDh7OwsHB0dRcOGDcXbb78tkpOTS3W+VP7yDPli/s4LosmHf4mgdwsCqTd+PSwSMnLvvzERlVppsxSZEKWfYTM5ORmjR4/Gzz//bLnm+lEkJydj+PDhWL58eamHDD+qkydPolmzZti5cye6det23/5arRYajQaZmZlwdnYu/wKJiIiIJBYbG4uQkBCMHj0aP/74Y6m2GTNmDJYtW4YrV65YJpamym3AgAHo378/Xn/9dalLISp3ZrPAH8cT8MVf5xCfkQcAaFZLgw+faIw2wY/+ty0RWSttlqJ8kJ16enpi8uTJ6NKlC37++WeEhoY+dIH//vsvnnvuOcyfP7/CAikA2LdvH/z8/NCpU6di1+v1equ5sbRabUWVRkRERERUbjIzM+Hk5AS5XI7Y2Fj8+++/+O2336Qui6jcRcem4dONp3EsruBmAL4aW/xf3wYY1KIW76hHJLEHnui8S5cumDlzJh577DFMmDABly5deqDt9+/fj2eeeQaPP/44Zs+ejV69ej1oCQ9Nr9dj1qxZ+Oabb0qcpHHGjBnQaDSWx4PespeIiIiIqDIaNGgQfv/9d5jNZvznP//Byy+/DCcnTuRM1VdsSg5eWX4IQxfuw7G4TDioFHinTwPsnNQNQ1r6M5AiqgQe6PI9ALh06RJ++OEH9O/fH6+++ipOnz6N+vXrIywsDLVr14aXlxfs7e2hVCqh1+uRlZWFhIQEnDt3DtHR0UhJSUHHjh2xZMmSMrnF8YMYM2YM/Pz88Nlnn5XYp7iRUgEBAbx8j4iIiGqEvn374tChQ0hJSYGtrS00Gg3+97//4bHHHiu2//bt2zFy5EhkZmZCp9PBw8MDbdu2xZ9//lnBldP9vPjii1ixYgUcHR3RuXNnLFu2DPb29lKXRVTmMnIN+Obvi1i+PxZGk4BcBjzVNhBv9qwPT6fS3aWSiB5NaS/fe+BQqn379oiOjsYnn3yCd955B4sWLcLs2bNx5cqVgh3KiqbNhYfo2LEj3nrrLURERDzIIcvE5MmTkZKSgiVLlhRbY0k4pxQREREREVHlpzOasHzfVczbeRGZeUYAQLcGnnivfyPU9+aoQKKKVG6h1HPPPYeIiAh069bNarhvTEwMdu/ejVOnTuHmzZvQ6XRwdHSEv78/QkND0bt3b8kuhZs5cyaOHDmCX3/9FXK5HIcOHQIAtGrV6r7bMpQiIiIiIiKqvPJNZqw5HI/Z288jMVMHAGjo44T/DGiE8HqeEldHVDOVy0TnQMHlbf369YNSab3pp59+inXr1j1woeVt4cKFWL58OZYsWYLDhw8DADZu3Ijg4OBShVJERERERERU+QghsOVUEr7ceg4Xb2YDAPw0tpjYsz6ebOUPBeeMIqr0HjiU6tatG7p27YoZM2agS5culvb4+PgyLawsZGVl4fXXX4fZbEbHjh2t1i1dulSiqoiIiIiIiOhR7L+cipl/ncWRaxkAABd7G7zerS6e7RAEWxuFtMURUak9cCg1duxYXLp0Cd26dUNAQAD69u2L9u3bw2w2l0d9j8TJyQkmk0nqMoiIiIiIKoXvv/8eM2fOxK+//oo2bdpIXQ7RAzudoMUXW85i17lkAICdjQIvdA7B2K614Wxb/B3WiajyeuA5pQrt2bMHn3zyCbZv325pc3V1Rfv27dGhQwd06NABbdu2haOjY5kVKwXOKUVERERE1UViYiIGDx6Mo0ePYv78+XjxxRelLomoVK6l5uLrbeew/lgChACUchmeahuA8d3rwcvZVuryiOgu5TbR+d2uXLmCX375BZ988gmEEMjPzy/YsUwGuVyOJk2aWEKqLl26IDg4+FEOV+EYShERERFRdaLX6zFx4kQsXLgQr7zyCubNmweFgpc7UeV0I1OHBbsu4n8Hr8FoKvjT9fHmvpjUuwGCPRwkro6ISlJhoVShtm3bYvfu3Th8+DCio6MRHR2NgwcP4tKlSxBCQCYrmGQuJCQETz75JJ577jk0bNiwLA5drhhKEREREVF19MMPP2Ds2LF46qmnsGzZsiI3MiKS0s0sHRbuuoyfD1yFIb9gqpjweh74vz4N0cxfI3F1RHQ/koRSBw8eLNKekZGBmJgYq6AqISEBcrkcTz75JObOnQsfH5+yKKFcMJQiIiIioupq1apVGDFiBAYNGoRff/0VKpVK6pKohkvLMWDRP5ewbF8sdMaCMKp1kCve6l0fHet4SFwdEZVWhYdS2dnZpZ4/KiEhATt37sTvv/+OQ4cOYdeuXQgJCSmLMsocQykiIiIiqs42bNiAoUOHonfv3li1ahVsbTk/D1W8jFwDvo+6gqX/XkGOoeBmVS0CXPB2r/oIr+dhufKGiKqGCg+lHtbx48cxd+5c/PDDD1KWUSKGUkRERERU3W3ZsgWDBw9GeHg41q1bB3t7e6lLohpCqzPiv3uu4IeoK8jSF8xP3LSWM97qVR+PNfBiGEVURZU2S5H0wnGTyQQHBwe4ublJWQYRERERUY3Wp08fbNq0CU888QQGDBiAv/76C2q1WuqyqBrL0efjx72xWLz7MjLzjACAhj5OeLNXffRu7M0wiqiGkEt58I8//hj169fH5s2bpSyDiIiIiKjGe+yxx/DXX39h7969ePPNN6Uuh6oprc6IeTsuoPPMHZi15Rwy84yo6+WI+SPCsGl8OPo08WEgRVSDSDpSavDgwYiLi8O4ceOkLIOIiIiIiAB07twZ3377LV5++WV06NABzz77rNQlUTWRnmPA0n+vYOneWGTpCi7TC/FwwIQe9fBECz8o5AyiiGoiyeeUquw4pxQRERER1SRCCDz//PNYsWIF9u3bhxYtWkhdElVhKdl6LIm6jJ/3XbVMYF7PyxHjutfF480ZRhFVV1VmovPKjqEUEREREdU0eXl56NixI7KyshATEwMXFxepS6Iq5kamDot3X8avB69CZzQDABr7OuON7nXRp4kP5AyjiKq1KjHRORERERERVT52dnb4/fff0apVK4waNQrr1q2DXC7pdLRURcSl52LhP5ewMjoOBlNBGNUiwAXju9dF94a8mx4RWWMoRURERERERdSuXRvLly/HE088gW+++QYTJ06UuiSqxC7ezMbi3Zew5nA88s0FF+O0CXbFG93rIbyeB8MoIioWL9+7D16+R0REREQ12euvv46ff/4ZFy5cgJeXl9TlUCVz+Fo6Fu66hK2nkyxtneq6Y9xj9dC+thvDKKIainNKlRGGUkRERERUk6WkpKBevXoYNmwYFi1aJHU5VAkIIbDrXDK+++cSDl5Js7T3auyNV7rWQasgVwmrI6LKgHNKERERERHRI/Pw8MDUqVPx1ltv4bXXXuPd+Gowo8mMjccTsOifyzh7IwsAYKOQYXBoLbzctTbqejlJXCERVTUcKXUfHClFRERERDWd0WhE8+bN4ePjgx07dvCSrBom15CPFdHX8X3UFcRn5AEAHFQKjGgXiOc7h8BXYydxhURU2XCkFBERERERlQkbGxt8/fXX6N+/P9atW4chQ4ZIXRJVgJRsPZbvu4qf9sUiPdcIAHB3UOG5TsF4tn0wNPY2EldIRFUdR0rdB0dKEREREREV6N+/P86dO4fTp09DrVZLXQ6Vk/NJWfgh6grWHo2HId8MAAh0s8dLXWpjaCt/2NooJK6QiCo7jpQiIiIiIqIy9eWXX6JJkyZYtWoVRo4cKXU5VIaEENh9IQXfR11G1IUUS3sLfw1eDK+Nfk19oFTIJayQiKojjpS6D46UIiIiIiK6rVevXsjNzcW///4rdSlUBnRGE9YdiccPe67gws1sAIBcBvRp4oMXOoegVZAr5xAjogfGkVJ3MBgM+OijjzBr1ixcvHgRwcHBUpdERERERFQlvfLKK4iMjMTx48fRvHlzqcuhh5ScpcfP+6/i5/1XkZpjAFAwefmwNgF4rmMIAt3tJa6QiGqCah9KxcbG4umnn0b9+vVhMpmkLoeIiIiIqEobOHAgfH19sXDhQixYsEDqcugBnYzPxLK9sVh/NAEGU8F8UbVc7DCmYzCGtw2Asy0nLyeiilPtQ6ns7GwsX74ccXFx+Omnn6Quh4iIiIioSrOxscGLL76I2bNnY+bMmXBycpK6JLoPQ74Zf526gWV7Y3HoarqlvUWAC14KD0HfJpwvioikUe1DqaZNmwIA4uLiJK6EiIiIiKh6eOmllzB9+nT8+uuvePnll6Uuh0pwU6vDrwev4dcD13AzSw8AUMpl6NfMF2M6BiEskPNFEZG0qn0oRUREREREZSsgIACPP/44vvvuO4wdO5bBRiUihMDha+lYtvcqNp1IRL654L5Wnk5qjGgbiGfaBcLL2VbiKomICjCUuoter4der7csa7VaCashIiIiIqqcXnzxRQwcOBBnz55Fo0aNpC6nxtMZTdhwLAE/7YvFyfjbf8O0CnLFqA5B6NfUFyolL9EjosqFodRdZsyYgWnTpkldBhERERFRpda9e3eoVCps27aNoZSErqbm4NeD17Ay+jrSc40AALVSjkGhfhjVIRhNa2kkrpCIqGQyIYSQuoiKsGvXLjz22GO4cuUKgoODS+xX3EipgIAAZGZmwtnZuQIqJSIiIiKqGrp37w4HBwf88ccfUpdSoxhNZmw/nYRfD15D1IUUS3stFzs82yEIw1sHwNVBJWGFRFTTabVaaDSa+2YpHCl1F7VaDbVaLXUZRERERESVXu/evTF9+nQYDAaoVAxBytv1tFz8Fn0NK2PikHxr4nKZDAiv54ln2gWiZyNvKOSc34uIqg6GUkRERERE9FB69eqFKVOmYP/+/ejSpYvU5VRL+SYztp+5if8dvIbdF5JReJ2Lh6Maw1r74+m2gQhws5e2SCKih1TtQymDwYDevXsjIyMDAPDUU08hICAAq1atkrYwIiIiIqIqrmXLlnB3d8e2bdsYSpWSyWRCVFQUEhMT4evri/DwcCgUiiL94tJzsSL6OlZEX8fNrNvTi3Su64ER7QLRq7E3bBScuJyIqrYaM6fUwyrtdZBERERERDXRU089hStXruDAgQNSl1LprVmzBhMmTEBcXJylzd/fH3PnzkVERAQM+WbsOJuEFdHXsev87VFR7g4qRLb2x9NtAhHs4SBR9UREpcc5pYiIiIiIqNz17t0bL730EtLS0uDm5iZ1OZXWmjVrEBkZibvHBMTHxyMyMhLDJ8/GObvGSMsxWNZ1qO2OEe0C0aeJD1RKjooiouqHoRQRERERET20zp07w2w24+jRo+jevbvU5VRKJpMJEyZMKBJIAbC0rZr3KWq98gO8NPZ4Mswfw1r7o7anY0WXSkRUoRhKERERERHRQwsJCYGNjQ3Onj3LUKoEUVFRVpfsFceUlYLxTfIxYWR3KDlXFBHVEPy0IyIiIiKih2ZjY4O6devi7NmzUpdSaZ26eLVU/fxUegZSRFSjcKQUERERERE9koYNG+LcuXNSl1GpZOmM2HzyBtYejsfOXQml2sbX17ecqyIiqlwYShERERER0SNp2LAhfvnlF6nLkFy+yYyoiylYczge207fgM5oBgCo/ZvAztULeRnJQDHzSslkMvj7+yM8PLyiSyYikhRDKSIiIiIieiQNGzbEtWvXkJOTAwcHB6nLqVBCCJxK0GLN4XhsOJaAlGy9ZV0dTwdEhPljUKgfDrb/DpGRkYBMZjXhuUwmAwDMmTMHCoWiwusnIpISQykiIiIiInokDRs2BACcP38eLVu2lLiaipGQkYd1R+Ox9nA8LtzMtrS7O6jwRAs/RITVQrNaGkvo5B8RgdWrV2PChAlWk577+/tjzpw5iIiIqPBzICKSGkMpIiIiIiJ6JA0aNAAAnD17tlqHUpm5Rvx1KhHrjyZg3+VUy5V4KqUcvRp7I6JlLXSp7wmbEiYrj4iIwKBBgxAVFYXExET4+voiPDycI6SIqMZiKEVERERERI9Eo9HAy8sLFy5ckLqUMpejz8f2M0nYcDQBuy8kw2i6felduxA3RITVQr9mvnC2tSnV/hQKBbp161ZO1RIRVS0MpYiIiIiI6JG5u7sjIyND6jLKhM5owq5zyfjjeAL+PpNkmbAcABr5OuPx5r4YFOoHf1d7CaskIqr6GEoREREREdEj02g0yMzMlLqMh2Y0mfHvxRT8cSwRW0/dQJY+37IuxMMBT7TwwxPNfVHP20nCKomIqheGUkRERERE9MiqYihlMgtEx6bhj2MJ2HzyBtJyDJZ1fhrbgiCqhR+a+DlbJiwnIqKyw1CKiIiIiIgembOzM9LT06Uu477yTWYcvJKGTScT8dfJJKRk6y3rPBxV6N/MFwNb+CEs0BVyOYMoIqLyxFCKiIiIiIgeSlZWFpycCi5n02g0iI2NlbagEhjyzdh7KQV/nbyBraeTrEZEOdsq0bepDwa2qIX2td2gLOHOeQ8jMTER06ZNQ0JCAubOnYuZM2ciJiYG+/btw1dffYX58+dj48aN8PT0xPjx4xETE4NRo0bh448/LrMaiIgqM4ZSRERERET0wIQQ8PHxwZIlSzBixAhoNBpotVrL+qioKEyYMAGHDh2S5NI3ndGEPRdSsPnkDWw7fQNa3e05olztbdCniQ/6NfNFh9ruUCnLLoi6k6+vL+zt7VGvXj1ER0dj4sSJGDhwIJYvX47x48dj8eLFMBqNiIqKwooVK5CTk4P69evjrbfegouLS7nURERUmTCUIiIiIiKiByaTydCjRw98+umneOqpp6zmlDKbzZg4cSJsbW0rtKY8gwn/nL+JzSdv4O8zN5F9x2TlHo5q9G3qjf5NfdE2pGxHRN3Lnj170L17dwwbNgxLliyBra0t+vfvj6SkJGRnZyMsLAwtWrSAQqGAs7MzGjduDDs7uwqpjYhIagyliIiIiIjoobz77rvo3LkzNm7caBVKrVq1CocPH8bu3bvLfZRUeo4BO87exLbTSfjnfDLyjCbLOh9nW/Rt6oP+zXzRKsgVigqeIyo5ORnHjx/HypUrAQBbtmzByJEj4ePjg0WLFqFPnz6Qy+WQy+WW/j179oRara7QOomIpCITQgipi6jMtFqt5R9YZ2dnqcshIiIiIqpUwsPDYTKZ8OKLL+KFF15Abm4umjdvjvr16+PPP/+87/YmkwlRUVFITEyEr68vwsPDoVAo7rnN9bRcbD2dhG2nbyA6Nh0m8+0/afxd7dCvacGleaH+LpJOVr5s2TKsXbsW69atg9FohLe3N86fPw8PDw8MHToUgwYNQt26ddG+fXsIIbB06VKMHj36vudPRFTZlTZL4UgpIiIiIiJ6aO+++y6eeOIJdOvWDQDw3//+F5cuXcLvv/9+323XrFmDCRMmIC4uztLm7++PuXPnIiIiwtImhMDJeC22nS6YqPzsjSyr/TT0cULvxt7o1dgHTWs5SzKHVXE2bNiAyMhIAAVzbDVo0AAeHh4AgNTUVBw5cgQDBgwAAKxduxbDhw+HQqHA1atXERQUJFndREQVhSOl7oMjpYiIiIiISmY2m9GiRQvI5XIcP34cPj4+6NmzJ5YvX37P7dasWYPIyEjc/edIYaD024qV8A3tim2nk7DtdBISM3WWPgq5DG2CXdG7sQ96NfZGgJt92Z9YBfruu+/w+eefw8nJCQaDAfPmzUPv3r2lLouI6KGVNkthKHUfDKWIiIiIiO5t+fLlGDVqFADARqnEufPnERISUmJ/k8mE4OBgqxFSd7Nx9oTvy99DJi+4lM1epUDX+p7o1dgb3Rt6wcVeVbYnQUREZYaX791h7dq1mD59Ouzs7CCXy7FgwQI0adJE6rKIiIiIiKqFp556ChNffBFpBgNeqV37noEUUHAp270CKQAwapNhm3oBEQN6oXdjH3So4w5bG861RERUnVT7UOrgwYMYNWoUYmJi0KBBA/z000/o06cPzpw5AycnJ6nLIyIiIiKq8uRpaXjGaMR8AO9dvAhTUhIU3t7F9s3SGfHXwdOl2u+H3X3xTETzMqyUiIgqE7nUBZS3mTNnon///mjQoAEAYOTIkcjPz8eyZcskroyIiIiIqOpbs2YNPmvQAF8LgVwAnmYzpjdogDVr1gAomKT8UnI2vo+6jBFL9iPsk2348WhmqfZdq5ZfOVZORERSq/Yjpf7++2+8//77lmW5XI5WrVph+/btGDduXKn3k5OTAycnJ8vEiwaDAUajEUqlEmq12qofAMulggBgNBphMBigUChga2v7UH1zc3MhhICtra3lFrH5+fnQ6/WQy+Wws7N7qL55eXkwm81Qq9VQKgu+HUwmE3Q63QP1lclksLe/PcGkTqeDyWSCSqWCjY3NA/c1m83Iy8sDADg4OFj66vV65Ofnw8bGBiqV6oH7CiGQm5sLALC3ty/yfj5I39K892XxfVLc+1kW3yeF7+ejfp/c/X4+6vdJSe/no36f3Pl+Pur3SUnv58N+n/Azgp8R/IzgZ8TdffkZwc+IB+1boZ8R8fHQXb0KIQT+/fdfTH/3XaxEwf92KwGYATyTmYmhTz6JA6PfQrJDCG5k5CHF2QM3NV4AgAbNWyF3qxey0pKBYqa4lclk8Pf3R3h4OD8j+BnBz4gS3s9K+xkB/h5R2r7V+TPCZDKhVEQ1lpKSIgCI5cuXW7U///zzolmzZsVuo9PpRGZmpuVx/fp1AUAAEDdv3rT0+/TTTwUA8eKLL1ptb29vLwCIK1euWNpmz54tAIgRI0ZY9fXw8BAAxMmTJy1tixcvFgDEoEGDrPoGBQUJAOLgwYOWtp9//lkAED179rTq27hxYwFA7Ny509K2du1aAUB07NjRqm/r1q0FALFx40ZL29atWwUA0aJFC6u+Xbt2FQDEypUrLW179uwRAETdunWt+vbv318AEEuXLrW0HTlyRAAQfn5+Vn0jIyMFADFv3jxL2/nz5wUAodForPqOHj1aABBffPGFpS0uLk4AEEql0qrva6+9JgCIjz76yNKWnp5ueT8NBoOlfdKkSQKAmDRpkqXNYDBY+qanp1vaP/roIwFAvPbaa1bHUyqVAoCIi4uztH3xxRcCgBg9erRVX41GIwCI8+fPW9rmzZsnAIjIyEirvn5+fgKAOHLkiKVt6dKlAoDo37+/Vd+6desKAGLPnj2WtpUrVwoAomvXrlZ9W7RoIQCIrVu3Wto2btwoAIjWrVtb9e3YsaMAINauXWtp27lzpwAgGjdubNW3Z8+eAoD4+eefLW0HDx4UAERQUJBV30GDBgkAYvHixZa2kydPCgDCw8PDqu+IESMEADF79mxL25UrVwQAYW9vb9X3xRdfFADEp59+amm7efOm5f2804QJEwQA8d5771nasrOzLX2zs7Mt7e+9954AICZMmGC1D35GFOBnRAF+RhTgZ8Rt/IwowM+IAtXiMyI8XAjA6mG6a9l817IAxBG/EPFD1GVxOTnb8hkBQMhkMsvXdz5+//13IQQ/I+7Ez4gC/IwoUGk/IwR/jyhUkz8jCt/vzMxMcS/V+vK9wvTxzuSwcLlw3d1mzJgBjUZjeQQEBJR7nUREREREUhO3Rixt27YNu3btKvl/uV98EXqZDOY7mu7+o0J2x9dmAHkATJFP4PnOIQjxuD2KwN/fH7Vq1SpyiAkTJiAiIuJhToOIiKoQmSj816caSk1NhYeHB5YvX46RI0da2l944QVER0fj+PHjRbbR6/XQ6/WWZa1Wi4CAACQkJMDHx6dKDZfjkFoOqS3Ne88htTV3SC0/I/gZUZr3np8R/Iy4V19+RlSfz4g1a9Zg/PjxiI+Pt2zr7++Pr7/+Gv3794dcLodMqUJ0bBqiLqTg0t//YsqidxCSk4F73Q/PBCDbxwc2f/wBVWhose+9Wq1GVFQUEhMT4ebmhg4dOsDe3p6fEfyM4GdEJfqMeNj3nr9H1NzPCIPBADc3N2RmZsLZ2RklqdahFAC4uLjg/fffx6RJkyxtAwYMgI2NDdatW3ff7bVaLTQazX1fSCIiIiKiqmjNmjWIjIzE3X8WFP7x89K0ecj1a4Xo2DTojLfHR8kvx2D6qql4+h77/hWA/+bN6NK3bzlUTkRElVVps5RqffkeAHTv3h0xMTGWZSEEDh8+jJ49e0pYFRERERGR9EwmEyZMmFAkkAIKfm8WQuCHWR9h97kk6IxmeDmpEdnKH3OfCsX+Je/ghIuL1WV8dzIDOOnqik69epXrORARUdVV7e++N3nyZPTs2RPnz59H/fr18csvv0ChUGD06NFSl0ZEREREJKk1m7YhLi7unn1MWSkYFpCDF4YOQAPv23ejBoCxrVrB9PffkKMghLrz2QTgpVatLJd6EBER3a3ah1Jt27bFsmXLMGLECMu1klu2bIGTk5PUpRERERERVaiUbD32XUrF3ksp2HspFaejdpRquzAPoKFP0csvgm/cAADkAzAC+A7AqwBsbj1CEhPLqHIiIqqOqn0oBQBDhgzBkCFDpC6DiIiIiKhC3cjU4cCVVBy4koYDl1NxKTnHar2Nk1up9uPr61u0UacDzp4FACgaNMDhyZPhq1bjhF6PNjNmAOfPF6zX6YA7JswlIiIqVCNCKSIiIiKiqsJkMlnuRufr64vw8PBSXQInhEBcep4lgDpwJQ3X0nKL9Gvo44ROdT3Qqa47wgJ6oNnu+YiPjy92XimZTAZ/f3+Eh4cXPWBeHtC0KRAWBtm8eWhrb4+2heuGDgXGjQOOHrUKpRITEzFt2jQkJCRg7ty5mDlzJmJiYrBv3z589dVXmD9/PjZu3IgWLVoAAI4cOYJFixZh4cKFpX35iIioCmEoRURERERUSaxZswYTJkywmufJ398fc+fORUREhFVfIQSupORYQqiDV9KQkKmz6iOXAU38NGgX4oa2tx4u9iqrPnPnzkVkZCRkMplVMFU4d9ScOXOKD8VcXYHDhwF5MfdOcnAAli4FzGar9b6+vrC3t0e9evUQHR2NiRMnYuDAgVi+fDnGjx+PxYsXw2g0AgCysrKwY8cO6HS6ovsnIqJqgaEUEREREVElsGbNGkRGRhYZsRQfH4/IyEisXLkKjTr2xKGr6ThwJQ0Hr6QhOUtv1Vcpl6G5vwbtarujbYgbWge5wsnW5p7HjYiIwOrVq4sNw+bMmVMkDLNSXCB1n/V79uxB9+7dMWzYMCxZsgS2trbo378/kpKSkJ2djbCwMADA77//joiICJw4ceLexyAioiqLoRQRERERkcRMJhMmTJhQ7CV0hW1Pv/Aq/F7+HjL57VFLKqUcLQNc0C7EDe1qu6NloAvsVQ/+K35ERAQGDRr0UJcN3s/OnTuRnJyMHj16wGw24/jx41i5ciUAYMuWLRg5ciR8fHywaNEi9OnTB3K5HBs3bkS/fv2Ql5f3yMcnIqLKi6EUEREREZHEdu/ebTVKqTj52mTIk86ic5euaBPshnYhbmgR4AJbm0cPjgBAoVCgW7du9+33IPNCzZ49GwaDAe+++y4AYNmyZejbty+Cg4NhNBqxY8cOy3xR27dvx6BBg7B//34sX74c33//PXJzc3H27Fl88803GD9+fJmcJxERVR4MpYiIiIiIKpjRZMaZRC1iYtNx6Fo6tqzfXqrtPu3tj2eeaVfO1d1baeeFOnfuHH799VccPHjQsu2GDRsQGRkJAIiKikKDBg3g4eEBAEhNTcWRI0cwYMAArFixAgAQGxuLqVOnMpAiIqqmGEoREREREZUjIQQSM3U4ej2j4HEtAyfiM5FnNFn66BSOpdpXrVp+5VXmAynNvFCfffYZ3N3d8cknn2Dfvn346aef8Pvvv1v20b17d+zbt8+yvGPHDilOhYiIJMRQioiIiIioDGXr83E87nYAdfR6Bm7eNSE5ADjbKtEqyBWtg90Q6t8Gw3cvQEJCfLHzSslkMvj7+yM8PLwiTqFYZrMZOp0OOTk5pZoX6tq1a3jttdcwcOBAzJ07F4sWLcL777//QMcMDg7Gjz/+WA5nQ0RElQFDKSIiIiKih2QyC1y4mWUJn45ez8D5pCyY78qVFHIZGvo4ITTABaEBLmgZ6ILaHo6Qy2WWPt98MxeRkZGQyWRWwZRMVtBnzpw5ZTLxOPBg80J99dVX+O677+Do6Ih9+/Zh06ZNpZoXytXVFfJbd99r2LAh1q1bVya1ExFR9cFQioiIiIioFIQQiEvPw4n4TByPy8TR6+k4EZeJHIOpSF8/jS1aBroWhFCBLmjqp4Gd6t6BUkREBFavXo0JEyZYTXru7++POXPmICIioszOpbTzQhmNRiQlJeHkyZOwtbUFUPp5oXr27IkDBw7g8ccfR3p6Opo1a1Zm9RMRUfUgE8WNDyYLrVYLjUaDzMxMODs7S10OEREREVUAIQTiM/JwIi4TJ+JvPzJyjUX6OqgUaO5fED6FBrigZYALvJxtH/rYJpMJUVFRSExMhK+vL8LDw8tshNSd2rZti+7du+Pzzz/HkiVL8O2332Lr1q3Iy8tDu3btcOPGDVy8eBFvvvkmYmJisHDhQgwZMuSBjjFp0iS0bNkSV69exZtvvgk7O7syPw8iIqp8SpulMJS6D4ZSRERERNWbEAIJmbpbAVQGTsRrcSIuA+nFBFA2Chka+jijaS0NQgM0CA1wRV0vRyjuuAyvKkhOTkZAQADOnj2L4OBgREZGom3btvi///s/LFq0CHv27MHy5cst/c+fP48BAwbg1KlTUKlUElZORERVQWmzFF6+R0REREQ1RuEIqFMJWpy8dRneyfhMpOYYivRVymVo4OOE5v4aNK2lQfNaLqjv4wi1suxHLVW00s4L1b59ewBA/fr10a9fP2i1WsulekRERI+KoRQRERERVUuGfDMu3szG6UQtTidocToxE6cTtNDq8ov0VcplqO/thGa1NGjmr0GzWho08HGCrU3VD6CKU9p5ofR6PdRqNQDA1taWgRQREZUpXr53H7x8j4iIiKjyy8wz4owlfCp4vnAzC0ZT0V91bRQy1PVyQrNazmjm74JmtTRoWI0DqEfx+eef499//8WwYcMQEhKCzp07S10SERFVAZxTqowwlCIiIiKqPAovvzuTmIVTCZmWECouPa/Y/k62SjT2dUYTPw0a+zmjsa8z6no5QqWUV3DlRERENQfnlCIiIiKiKi0j14CzN7JwPimr4PlGFs4lZSGrmMvvAKCWi50leCp89ne1g0xWeSchT0xMxLRp05CQkIC5c+di5syZiImJwb59+/DVV19h/vz52LhxI+rWrYupU6fixIkT6Nq1K6ZMmSJ16URERI+MI6XugyOliIiIiMqXzmjChaRsnEvKwrkbWksQlaTVF9tfKZehnreTVfjU2NcZGnubCq68bLz11luQyWRo164dmjdvjoEDB2Ly5Ml46qmn0LRpU6xcuRK2trZo1KgR5HI5evXqhe3bt0tdNhERUYk4UoqIiIiIKhWTWSA2NQfnbxSMfDp3K3yKTc2BuYT/Jq3lYoeGPk5ocMejtkf1uvxuz5496N69O4YNG4YlS5bA1tYW/fv3R1JSErKzsxEWFga5vOB89+3bh5deekniiomIiMoGQykiIiIiKlOGfDOupubg4s1sXLyZjQu3ni8lZ0Ofby52G1d7GzTwcUJDH2c08HFCfW8n1Pd2hJNt1Rz9VFrJyck4fvw4Vq5cCQDYsmULRo4cCR8fHyxatAh9+vSxBFLXrl3DwoULER0djUGDBsHW1lbK0omIiB4ZQykiIiIieih5BhMuJWffET5l4eLNbFxNzUV+CUOfbG3kqO/thAbe1qOfPB3VlXrup/KyadMm9O3bF8HBwTAajdixYwcWLlwIANi+fTsGDRqE/fv3o3379ggMDMSyZcvw9NNP48SJE2jTpo3E1RMRET2aah9KXbhwAaNHj4ZKpcKuXbukLoeIiIioysnMM94KnrKsRj/FZ+ShpNlJHVQK1PVyRF0vp1vPjqjn5YgAN3so5DUvfCrJhg0bEBkZCQCIiopCgwYN4OHhAQBITU3FkSNHMGDAAKttfH19Ubt27QqvlYiIqKxV64nOly9fjgULFkChUECpVD5UKMWJzomIiKiyMZlMiIqKQmJiInx9fREeHg6FQvFI+zTkm3EtLRdXUnJwOTm74DklB5eTc5CSXfyE40DBZXf1vJxQ51boVNfLEfW8HeHjbFsjRz6Vl7lz5+LAgQMYMWIEbG1t0bNnT6lLIiIiKhEnOgfg7u6Of/75B2PHjkVsbKzU5RARERE9sjVr1mDChAmIi4uztPn7+2Pu3LmIiIi457Zms0BSlg6XkwsCpyvJObiSko3LKTm4npZb4mTjAODjbIt63o6o43l71FNdL0e4O6rL6tToHiZMmCB1CURERGWuWodS/fv3l7oEIiIiojKzZs0aREZG4u6B7vHx8YiMjMTq1asRERGBzFwjLqcUjHa6cmu00+WUHMSm5CDPaCpx/w4qBUI8HRDi4YjaHg6o7emAEI+CR3WfcJyIiIgqXrUOpYiIiIiqC5PJhAkTJhQJpABY2p554VXUO2YHrb74O9wBgFIuQ6CbPUIsoZOj5Wsvp5o52TgRERFJg6HUXfR6PfT62/MmaLVaCashIiKimspoMiMhIw+xqbm4lpqDXbt2WV2yVxxdxk3cvHAUtoHN4eWkRm1PB9T2LBj1VBA8OcLf1Q42CnkFnQURERFRyapcKDV16lRMmzbtnn2io6PRunXrh9r/jBkz7rt/IiIiorKg1RlxPS0Xcel5uJaai6tpObiamourqbmIz8iD6Y5JnnJOny7VPt8J98arL/SBvarK/ZpHRERENUyVu/tednY2srOz79nHw8MDSuXtX8TGjBmD2NjYUt19r7iRUgEBAbz73j3k5uZi9uzZ2LdvH+rUqYO8vDz069cPEydOxMsvv4z33ntP6hKJiIgkka3PR1x6LuLS8hCXnovr6beeby1rdfn33N7WRo5AN3sEujlAJJzEf9977r7H3LlzJ7p161ZGZ0BERET04Krt3fccHR3h6OhYbvtXq9VQq3kXmdK6dOkS+vXrh549e2LdunVQKpXIy8tDvXr1EB8fz9sVExFRtZZryEd8eh7i0vNwPb1gxNOdoVN6rvG++3B3UMHf1Q6B7g4IcrNHoLs9gtzsEexhPceTydQSWxd8gPj4+GLnlZLJZPD390d4eHiZnycRERFReahyoRRVHmfOnEH37t3RqVMnLFiwwNJuZ2eHvLw8uLu7P/RllERERFITQiAtx4DETB3iM/KQmJGHhFtfx6XnIT49FynZhvvux9XeBv6u9vB3tUOAW8Gzv6sdAlztUcvVrtSX2SkUCsydOxeRkZGQyWRWwVRhcDVnzhwoFIqHO2EiIiKiClatQ6kNGzbg66+/xtmzZ6HT6dCtWzc8++yzeOGFF6QurcrT6XQYNmwYDAYDFi5caLVOq9UiPT0dQ4cOhVzOiVSJiKhyyjXkIyFDh4SMPCRm5iH+jq8L2/X5Jd/FrpCzrbKY0MkeAW52qOViBydbmzKrOSIiAqtXr8aECROsJj339/fHnDlzEBERUWbHIiIiIipv1TqUGjhwIAYOHCh1GdXStGnTcPLkSXz66afw8PCwWvf3339DCIHevXtLVB0REdV0RpMZN7P0SMjIu/XQ3QqbCsKnxMw8ZJTi0joA8HRSw8/FDrVcbOGrsYOvxtYSOvm72kNjV3ahU2lERERg0KBBiIqKQmJiInx9fREeHs4RUkRERFTlVLmJzitaaSfnqkm0Wi18fX1hMBiQmJhYJJTq27cvtmzZgtjYWAQFBUlUJRERVUdCCGjz8nFDq8MNrQ5JmTrL1zdvPd/I1CM1R4/S/IbjpFbCz8UOvi62t4KngtDJz8UOfho7eGvUUCsZ9hARERE9iGo70TlJb9OmTcjNzUXXrl2LBFK7du3Cli1bULt2bQZSRET0QAz5ZtzM0iHpVrB0Q1v4dcFz0q3QSWe8/yV1AGCjkFlGNtW6I3gqDJx8XWzhXIaX1hERERHRg2EoRQ/s+PHjAICmTZtatWu1Wnz99dcAwFtRExGRhc5oQnKWHjez9EjO0iM5W49krQ7J2Xrc1N4On0ozaXghF3sb+DjbwtvZtuBZc+vZWV3QprGFm70KcrmsHM+MiIiIiB4FQyl6aDqdzvJ1Xl4eJkyYgF69euGPP/5Ahw4dkJ6ejh9//BFvvvmmhFUSEVF5MJsFMvKMuJmlKwia7gydsvSW9ptZemTp8ku9X5VCDi9ntVXQdPfXXs5q2NrwkrqSnDx5ssh/HBERERFVRgyl6IF17twZALBy5Uq0b98earUaP/30E7766iusXLkSAHD58mW88847mDNnjoSVEhHRgxBCQKvLR2q2Hqk5BqRm3w6ZCkc1Jd/Rlm8u/bSUKqUcXk5qeDqp73i2haeT+vaIJ40tXO1tIJNxdNOdEhMTMW3aNCQkJGDu3LmYOXMmYmJisG/fPnz11VeYP38+Nm7ciBYtWiAmJgbdunVDdna21GUTERER3RdDKXpg/fv3x4cffogFCxbggw8+wIABA7Bs2TL4+fnh+PHjcHZ2xqVLl7Bo0SI4OjpKXS4RUY2mM5qQkq1HarYBqTl6pGQbCr6+FTzduS4txwCj6cHuf+LmoIKnoxpezmp4OhaETZ53hU6eTmo42yoZNj0kX19f2Nvbo169eoiOjsbEiRMxcOBALF++HOPHj8fixYthNBbcSbB169ZF5nskIiIiqqx497374N33iIioMtHnm5CRa0RajgFpd4VKqdmGgtDp1tep2XrkGEwPfAwntRLujiq4O6rh7qC6FTjZWoInL+eCoMndQQ2VUl4OZ0l3a9u2Lbp3747PP/8cS5YswbfffoutW7ciLy8P7dq1w40bNyCXF7wXwcHBiI2NlbZgIiIiqtF49z0iIqJKrjBgSs8tCJjSc4xIyzUgI8eAtFwD0nMMSMs1IsOy3vBQIZNKIb8VMqng7qCGu6MKHrcCJ3fHW8u32t0cVJyvqZJJTk7G8ePHLZfIb9myBSNHjoSPjw8WLVqEPn36WAIpIiIioqqEoRQREdEjEkJAZzQjM8+IjLyCAKlwNFN6jgHpdwZPubceOUZk60s/AfidFHIZXOxs4Oagsoxo8rgjYHJ3UMPD8fayk5qXzlVlmzZtQt++fREcHAyj0YgdO3Zg4cKFAIDt27dj0KBB2L9/P9q3by9xpUREREQPhqEUERHRLSazgDbPeCtcKhihlFm4nHvns8Hydcat9YZ880MdUy4DXO1VcHVQwc1eBRf7grDJ1UEFV3sbuNqr7lgu6ONkq4RczpCpptiwYQMiIyMBAFFRUWjQoIFl3qjU1FQcOXIEAwYMkLJEIiIioofCOaXug3NKERFVLWazQJY+H9o8I7J0+dDqCkKjzNyCUUx3hklay9cGZOYaodU93MilQkq5DBo7m9vB0q1AycVeBTeHgoDJEkA5MGCisnf48GGEh4dj3bp16NWrl9TlEBERUQ3FOaWIiKhK0ueboM3LR5auICTK0hnvWDYWu06ruxVA5RmRbcjHo/53i4NKARd7FTR2NpaQycXeBs52NnCxKxjNpLGzgYudDTSFX9ur4KBS8DI5klRYWBhycnKkLoOIiIioVBhKERFRmRBCIM9oQrY+H9m6/ILnu76+c/SS9laIdHfwpH/Iy+DuplbK4WxnAydbZUF4dCs4ujtoKlhW3fG1DWwUnDSaiIiIiKi8MZQiIqrhDPlmZOvzkaPPR5YlQDIiW2+6FSjd/XX+rWXjre1MyLr1tbkMLwh3UistoZKzrQ2c7ZRwsrWBs+2tZ7uCduuvb2+jVvIOckRERERElRlDKSKiKsRsLhiNlGPIR67+1rPBVPDQ5yPHYEKuoSAosno2mJBTzMilbH3+Q0/QXRKZDHBUKeFoq4SDWglHtRJOtko4qJSW8OjOsKkwSLrza0e1EgrOs0REREREVK0xlCIiKgdCCOjzzdAZTQVBkb4gPLo7TMoprv3Wc57BVCRkyjWYyq1mOxsFHG4FSI5qJRzUCjiqbe5YVlp9bQmb7vjaUa2EnY2CE3cTEREREdF9MZQiohpHCAGjSSDPYEKeseCRa8iHzmhCnsGMXEM+8oymW8sm5BpN0BkK+5ks63INBet1xtvrCrfJM5rK9FK2u8lkgL2NAvZqJRxUCtirCkIkq2fV7fV2t5adbG3goFbcCpBs4GirhOOtbZScR4mIiIiIiCoQQykiqhTMZgGDqWBkkc5Y8Fw40khnNEGXb4b+1rPOaILear0Z+vyC57w7QqG7A6U715nKMzG6i0oph71KAQeVEvaqEoKkW+0F/UoKmZSwVxfsx9ZGzru8ERERERFRlcZQih6ZyWRCVFQUEhMT4evri/DwcCgUnGC4qso3mWEwmaE3Fjwb8gsCH32+2RIC6QsDojvCoLvDIV2+qUhfq6DpVr/CoKms5zUqLRuFDLY2CtjZKGCnuuv57raS2m1K7mNro+Cd3IiIiIiIiIrBUIoeyZo1azBhwgTExcVZ2vz9/TF37lxERERIWFnVYjILS/hjuBX+6G8FNQUBkemOgOhW+x1hUXEh0u0+dz3fZ38VOICoREp5QVBkayOHWqmA2kYOW+XtZVsb+a31RfvYqRSwvxUGFYZD9ioFbFXFLzMwIiIiIiIikgZDKXpoa9asQWRkJISwTjHi4+MRGRmJ1atXSx5MFV4SZjSZYTQJGG8FMcZbo4GM+Xeuv9WeL6yXTQLG/LuWTWYYb4VBD7SNZbvbtRhM5gq9lOxByGWAWqmASimHWimHSim3BEEFIZEC6ltt6ltBUeHy7RCphADpVp/bX9/ennMbERERERERVX8MpagIIQRMZoF8c0Fwkm8SMJoLnk232vTGfLw27o0igVTh9pDJ8PJrb8Ac2ApmyJFvEsg3FwRD+Saz1b7zzUXbCo939zZWbbf6WEKlW8HQnSFUZQ177kUuw60QqCAMUinkUNvcer6z/Y6g6HYf6wBJfWefwm0Vd217q11dzD4ZDhEREREREVF5qbahVFpaGr755hts374dSqUSGRkZiIyMxOTJk6FUVtvTLtFTi/chS5dvHfiYzDCaiw987kd37TiSEhNK7iAEUpISMO7rX2Eb2LwMz+TRKOUy2CjksFHIoFLKb31dsGyjuB3G2CjksFHKoVLI7ugjh0p513LheuVdy7f2Vfw2ctgUtslvB06FgRCDICIiIiIiIqoJqm06s2nTJqxatQp79+6FRqNBQkICwsLCYDAY8PHHH0tdXoU7naCFVpf/SPuwUciglMuhVMgAY1aptqnrmI96DTyhvBX8KORy2MhlUCpkBW3ygmelQgabW/u2UcihvNVesM3tdcVtY6OQ3QqQ5HcETTKrcMnmVl+5nHcrIyIiIiIiIqoMZKK466+qgc2bNyMxMRHPP/+8pW3cuHHYunUrzp8/X+r9aLVaaDQaZGZmwtnZuTxKrRC7zt2EAO4Ifm4HTDYK+V3BT9GASCGXWd1+fteuXXjsscfue9ydO3eiW7du5XdiRERERERERFSplDZLqbYjpfr161ekzdbWFgaDQYJqpNetgVeZ7i88PBz+/v6Ij48vdl4pmUwGf39/hIeHl+lxiYiIiIiIiKh6qFGT1+zbtw9Dhw69Zx+9Xg+tVmv1oKIUCgXmzp0LAFYjqO5cnjNnDhQKRYXXRkRERERERESVX40JpXbs2IFr167h/fffv2e/GTNmQKPRWB4BAQEVVGHVExERgdWrV6NWrVpW7f7+/li9ejUiIiIkqoyIiIiIiIiIKrsqN6fU1KlTMW3atHv2iY6ORuvWrS3L8fHxeOyxx/Dbb78hLCzsntvq9Xro9XrLslarRUBAQJWfU6o8mUwmREVFITExEb6+vggPD+cIKSIiIiIiIqIaqrRzSlW5UCo7OxvZ2dn37OPh4QGlsmC6rLS0NPTq1QszZ85Ez549H/h41WWicyIiIiIiIiKiilBtJzp3dHSEo6NjqfpmZWXhiSeewIcffmgJpBYvXoyxY8eWZ4lERERERERERHQf1XZOKZ1Oh4EDB6J9+/aoVasWYmJiEBMTg0WLFkldGhERERERERFRjVflLt8rrfnz52PcuHHFrnuQU+ble0REREREREREpVfaLKXajpR6/fXXIYQo9kFERERERERERNKqtqEUERERERERERFVXgyliIiIiIiIiIiowlW5u+9VtMLL/bRarcSVEBERERERERFVfoUZyv2mUGIodR9ZWVkAgICAAIkrISIiIiIiIiKqOrKysqDRaEpcX23vvldWzGYzEhIS4OTkBJlMJnU5lZZWq0VAQACuX7/OuxQSVTH8+SWqmvizS1R18eeXqOriz2/pCCGQlZUFPz8/yOUlzxzFkVL3IZfL4e/vL3UZVYazszN/MImqKP78ElVN/Nklqrr480tUdfHn9/7uNUKqECc6JyIiIiIiIiKiCsdQioiIiIiIiIiIKhxDKSoTarUaH330EdRqtdSlENED4s8vUdXEn12iqos/v0RVF39+yxYnOiciIiIiIiIiogrHkVJERERERERERFThGEoREREREREREVGFYyhFZSotLQ1Tp05F586d0a1bN4SGhuLTTz9Ffn6+1KURUSlduHABHTt2RLdu3aQuhYjuYe3atWjdujXCw8PRtWtXnDp1SuqSiKgUDAYDpkyZAqVSidjYWKnLIaJSWrlyJXr37o0ePXqgTZs2ePLJJ3H58mWpy6rylFIXQNXLpk2bsGrVKuzduxcajQYJCQkICwuDwWDAxx9/LHV5RHQfy5cvx4IFC6BQKKQuhYju4eDBgxg1ahRiYmLQoEED/PTTT+jTpw/OnDkDJycnqcsjohLExsbi6aefRv369WEymaQuh4gewMiRI7Fx40b07t0bZrMZzz//PPr27Yvjx4/D1tZW6vKqLI6UojLl7u6Ot99+GxqNBgDg5+eHyMhI/PbbbxJXRkSl4e7ujn/++Qd169aVuhQiuoeZM2eif//+aNCgAYCCX5Tz8/OxbNkyiSsjonvJzs7G8uXL8dxzz0ldChE9oEGDBqF3794AALlcjnHjxuHChQs4fPiwxJVVbQylqEz169cPzz//vFWbra0tDAaDRBUR0YPo378/VCqV1GUQ0X38/fffaNOmjWVZLpejVatW2L59u4RVEdH9NG3alP/xQ1RFrVq1ymq5cHQU/9Z9NAylqNzt27cPQ4cOlboMIiKiaiE1NRWZmZnw8fGxavfx8eHcFkRERBVk37598PPzQ6dOnaQupUrjnFJUrnbs2IFr165h06ZNUpdCRERULeTm5gIA1Gq1VbtarbasIyIiovKj1+sxa9YsfPPNN7CxsZG6nCqNI6WoVKZOnQqZTHbPR0xMjNU28fHxeOWVV7B+/XrLHFNEVPEe5ueXiCove3t7AAW/EN9Jr9db1hEREVH5efnllxEZGYknn3xS6lKqPI6UolKZNGkSXnnllXv28fDwsHydlpaGgQMHYsGCBQgLCyvv8ojoHh7055eIKjd3d3doNBrcuHHDqv3GjRuoXbu2RFURERHVDJMnT4ZSqcT06dOlLqVaYChFpeLo6AhHR8dS9c3KysITTzyBDz/8ED179gQALF68GGPHji3PEomoBA/y80tEVUP37t2tRjgKIXD48GH85z//kbAqIiKi6m3mzJmIjY3Fr7/+CplMhkOHDgEAWrVqJXFlVRcv36MypdPpMHDgQLRv3x61atVCTEwMYmJisGjRIqlLIyIiqjYmT56MTZs24fz58wCAX375BQqFAqNHj5a4MiIioupp4cKFWL58OSZMmIDDhw8jJiYGf/zxB06cOCF1aVWaTAghpC6Cqo/58+dj3Lhxxa7jtxpR5bdhwwZ8/fXXOHv2LHQ6HUJDQ/Hss8/ihRdekLo0IrrL2v9v745d6V8DOI5/ruT0sxwGI6WYlE0GJItRmaQki7/BysCgLAqLKIPVbrAoDAqDmGQjJcqmOHe7y69+9zI8x7m9Xut3+czvnuf5HhxkeXk5v379SlNTUzY3N9PX11fvWcAfvL+/Z3x8PK+vr7m6usrg4GA6Ozt/+9U88LO8vb2lra0tn5+fv33b3d3N3Nxc+VH/E6IUAAAAAMW5vgcAAABAcaIUAAAAAMWJUgAAAAAUJ0oBAAAAUJwoBQAAAEBxohQAAAAAxYlSAAAAABQnSgEAAABQnCgFAAAAQHGiFAAAAADFiVIAAAAAFCdKAQAAAFCcKAUAAABAcaIUAAAAAMWJUgAAAAAUJ0oBADSAx8fHrK6uZnR0NK2trVlcXPzn2+npafr7+9PV1ZXX19e6bQQA+Iq/arVard4jAAD4s5eXl1QqlTw9PaWnpyft7e15enrKxcVFVlZW0tXVldvb2xwcHKRSqdR7LgDAvxKlAAAazNDQUE5OTnJ2dpaNjY3s7Oykubm53rMAAL7E9T0AgAYzMjKSJJmdnc3S0pIgBQA0JFEKAKDBDA8PJ0kGBgbS3d1d5zUAAN8jSgEANJje3t4kyc3NTZ2XAAB8nzelAAAaSK1Wy9TUVE5PT/Pw8JDn5+dUq9V6zwIA+DInpQAAGsj6+nomJyczMTGRj4+PHB8f13sSAMC3iFIAAA3i8vIy9/f3mZ6ezujoaJLk6OgoSbK9vZ3r6+t6zgMA+BK/agEA+MHW1tays7OTmZmZnJ+fZ39/P0kyNjaWpqam7O3tpVKppFqtpq+vr85rAQD+OyelAAB+sJaWltzd3eXw8DBbW1upVCpJko6OjszPz+f9/T0fHx9ZWFio81IAgK/x0DkAAAAAxTkpBQAAAEBxohQAAAAAxYlSAAAAABQnSgEAAABQnCgFAAAAQHGiFAAAAADFiVIAAAAAFCdKAQAAAFCcKAUAAABAcaIUAAAAAMWJUgAAAAAUJ0oBAAAAUJwoBQAAAEBxohQAAAAAxf0NU1Hfj2KV+ksAAAAASUVORK5CYII=\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"# define a function, desired tolerance and starting interval [a, b]\\n\",\n    \"f = lambda x: np.exp(x) - 2\\n\",\n    \"tol = 0.1\\n\",\n    \"a, b = -2, 2\\n\",\n    \"x = np.linspace(-2.1, 2.1, 1000)\\n\",\n    \"\\n\",\n    \"# graph the function f\\n\",\n    \"fig, ax = plt.subplots(1, 1, figsize=(12, 4))\\n\",\n    \"\\n\",\n    \"ax.plot(x, f(x), lw=1.5)\\n\",\n    \"ax.axhline(0, ls=':', color='k')\\n\",\n    \"ax.set_xticks([-2, -1, 0, 1, 2])\\n\",\n    \"ax.set_xlabel(r'$x$', fontsize=18)\\n\",\n    \"ax.set_ylabel(r'$f(x)$', fontsize=18)\\n\",\n    \"\\n\",\n    \"# find the root using the bisection method and visualize\\n\",\n    \"# the steps in the method in the graph\\n\",\n    \"fa, fb = f(a), f(b)\\n\",\n    \"\\n\",\n    \"ax.plot(a, fa, 'ko')\\n\",\n    \"ax.plot(b, fb, 'ko')\\n\",\n    \"ax.text(a, fa + 0.5, r\\\"$a$\\\", ha='center', fontsize=18)\\n\",\n    \"ax.text(b, fb + 0.5, r\\\"$b$\\\", ha='center', fontsize=18)\\n\",\n    \"\\n\",\n    \"n = 1\\n\",\n    \"while b - a > tol:\\n\",\n    \"    m = a + (b - a)/2\\n\",\n    \"    fm = f(m)\\n\",\n    \"\\n\",\n    \"    ax.plot(m, fm, 'ko')\\n\",\n    \"    ax.text(m, fm - 0.5, r\\\"$m_%d$\\\" % n, ha='center')\\n\",\n    \"    n += 1\\n\",\n    \"    \\n\",\n    \"    if np.sign(fa) == np.sign(fm):\\n\",\n    \"        a, fa = m, fm\\n\",\n    \"    else:\\n\",\n    \"        b, fb = m, fm\\n\",\n    \"\\n\",\n    \"ax.plot(m, fm, 'r*', markersize=10)\\n\",\n    \"ax.annotate(\\\"Root approximately at %.3f\\\" % m,\\n\",\n    \"            fontsize=14, family=\\\"serif\\\",\\n\",\n    \"            xy=(a, fm), xycoords='data',\\n\",\n    \"            xytext=(-150, +50), textcoords='offset points', \\n\",\n    \"            arrowprops=dict(arrowstyle=\\\"->\\\", connectionstyle=\\\"arc3, rad=-.5\\\"))\\n\",\n    \"\\n\",\n    \"ax.set_title(\\\"Bisection method\\\")\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch5-nonlinear-bisection.pdf')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 70,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"# define a function, desired tolerance and starting point xk\\n\",\n    \"tol = 0.01\\n\",\n    \"xk = 2\\n\",\n    \"\\n\",\n    \"s_x = sympy.symbols(\\\"x\\\")\\n\",\n    \"s_f = sympy.exp(s_x) - 2\\n\",\n    \"\\n\",\n    \"f = lambda x: sympy.lambdify(s_x, s_f, 'numpy')(x)\\n\",\n    \"fp = lambda x: sympy.lambdify(s_x, sympy.diff(s_f, s_x), 'numpy')(x)\\n\",\n    \"\\n\",\n    \"x = np.linspace(-1, 2.1, 1000)\\n\",\n    \"\\n\",\n    \"# setup a graph for visualizing the root finding steps\\n\",\n    \"fig, ax = plt.subplots(1, 1, figsize=(12,4))\\n\",\n    \"\\n\",\n    \"ax.plot(x, f(x))\\n\",\n    \"ax.axhline(0, ls=':', color='k')\\n\",\n    \"\\n\",\n    \"# repeat Newton's method until convergence to the desired tolerance has been reached\\n\",\n    \"n = 0\\n\",\n    \"while f(xk) > tol:\\n\",\n    \"    xk_new = xk - f(xk) / fp(xk)\\n\",\n    \"\\n\",\n    \"    ax.plot([xk, xk], [0, f(xk)], color='k', ls=':')\\n\",\n    \"    ax.plot(xk, f(xk), 'ko')\\n\",\n    \"    ax.text(xk, -.5, r'$x_%d$' % n, ha='center')\\n\",\n    \"    ax.plot([xk, xk_new], [f(xk), 0], 'k-')\\n\",\n    \"\\n\",\n    \"    xk = xk_new\\n\",\n    \"    n += 1\\n\",\n    \"\\n\",\n    \"ax.plot(xk, f(xk), 'r*', markersize=15)\\n\",\n    \"ax.annotate(\\\"Root approximately at %.3f\\\" % xk,\\n\",\n    \"            fontsize=14, family=\\\"serif\\\",\\n\",\n    \"            xy=(xk, f(xk)), xycoords='data',\\n\",\n    \"            xytext=(-150, +50), textcoords='offset points', \\n\",\n    \"            arrowprops=dict(arrowstyle=\\\"->\\\", connectionstyle=\\\"arc3, rad=-.5\\\"))\\n\",\n    \"\\n\",\n    \"ax.set_title(\\\"Newton's method\\\")\\n\",\n    \"ax.set_xticks([-1, 0, 1, 2])\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch5-nonlinear-newton.pdf')\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### `scipy.optimize` functions for root-finding\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 71,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0.693147180560118$\"\n      ],\n      \"text/plain\": [\n       \"0.6931471805601177\"\n      ]\n     },\n     \"execution_count\": 71,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"optimize.bisect(lambda x: np.exp(x) - 2, -2, 2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 72,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0.693147180559946$\"\n      ],\n      \"text/plain\": [\n       \"0.6931471805599455\"\n      ]\n     },\n     \"execution_count\": 72,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"optimize.newton(lambda x: np.exp(x) - 2, 2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 73,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x_root_guess = 2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 74,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f = lambda x: np.exp(x) - 2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 75,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"fprime = lambda x: np.exp(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 76,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0.693147180559946$\"\n      ],\n      \"text/plain\": [\n       \"0.6931471805599455\"\n      ]\n     },\n     \"execution_count\": 76,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"optimize.newton(f, x_root_guess)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 77,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0.693147180559945$\"\n      ],\n      \"text/plain\": [\n       \"0.6931471805599453\"\n      ]\n     },\n     \"execution_count\": 77,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"optimize.newton(f, x_root_guess, fprime=fprime)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 78,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0.693147180559945$\"\n      ],\n      \"text/plain\": [\n       \"0.6931471805599453\"\n      ]\n     },\n     \"execution_count\": 78,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"optimize.brentq(lambda x: np.exp(x) - 2, -2, 2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 79,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0.693147180559938$\"\n      ],\n      \"text/plain\": [\n       \"0.6931471805599381\"\n      ]\n     },\n     \"execution_count\": 79,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"optimize.brenth(lambda x: np.exp(x) - 2, -2, 2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 80,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0.69314718055904$\"\n      ],\n      \"text/plain\": [\n       \"0.6931471805590396\"\n      ]\n     },\n     \"execution_count\": 80,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"optimize.ridder(lambda x: np.exp(x) - 2, -2, 2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Multivariate\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 81,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def f(x):\\n\",\n    \"    return [x[1] - x[0]**3 - 2 * x[0]**2 + 1, x[1] + x[0]**2 - 1]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 82,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0.73205081, 0.46410162])\"\n      ]\n     },\n     \"execution_count\": 82,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"optimize.fsolve(f, [1, 1])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 83,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def f_jacobian(x):\\n\",\n    \"    return [[-3*x[0]**2-4*x[0], 1], [2*x[0], 1]]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 84,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0.73205081, 0.46410162])\"\n      ]\n     },\n     \"execution_count\": 84,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"optimize.fsolve(f, [1, 1], fprime=f_jacobian)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 85,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}- 3 x^{2} - 4 x & 1\\\\\\\\2 x & 1\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡     2         ⎤\\n\",\n       \"⎢- 3⋅x  - 4⋅x  1⎥\\n\",\n       \"⎢               ⎥\\n\",\n       \"⎣    2⋅x       1⎦\"\n      ]\n     },\n     \"execution_count\": 85,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x, y = sympy.symbols(\\\"x, y\\\")\\n\",\n    \"\\n\",\n    \"f_mat = sympy.Matrix([y - x**3 -2*x**2 + 1, y + x**2 - 1])\\n\",\n    \"f_mat.jacobian(sympy.Matrix([x, y]))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 86,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"#def f(x):\\n\",\n    \"#    return [x[1] - x[0]**3 - 2 * x[0]**2 + 1, x[1] + x[0]**2 - 1]\\n\",\n    \"\\n\",\n    \"x = np.linspace(-3, 2, 5000)\\n\",\n    \"y1 = x**3 + 2 * x**2 -1\\n\",\n    \"y2 = -x**2 + 1\\n\",\n    \"\\n\",\n    \"fig, ax = plt.subplots(figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"ax.plot(x, y1, 'b', lw=1.5, label=r'$y = x^3 + 2x^2 - 1$')\\n\",\n    \"ax.plot(x, y2, 'g', lw=1.5, label=r'$y = -x^2 + 1$')\\n\",\n    \"\\n\",\n    \"x_guesses = [[-2, 2], [1, -1], [-2, -5]]\\n\",\n    \"for x_guess in x_guesses:\\n\",\n    \"    sol = optimize.fsolve(f, x_guess)\\n\",\n    \"    ax.plot(sol[0], sol[1], 'r*', markersize=15)\\n\",\n    \"\\n\",\n    \"    ax.plot(x_guess[0], x_guess[1], 'ko')\\n\",\n    \"    ax.annotate(\\\"\\\", xy=(sol[0], sol[1]), xytext=(x_guess[0], x_guess[1]),\\n\",\n    \"                arrowprops=dict(arrowstyle=\\\"->\\\", linewidth=2.5))\\n\",\n    \"    \\n\",\n    \"ax.legend(loc=0)\\n\",\n    \"ax.set_xlabel(r'$x$', fontsize=18)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch5-nonlinear-system.pdf')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 87,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0.73205079, 0.46410162])\"\n      ]\n     },\n     \"execution_count\": 87,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"optimize.broyden2(f, x_guesses[1])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 88,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/Users/rob/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/scipy/optimize/minpack.py:175: RuntimeWarning: The iteration is not making good progress, as measured by the \\n\",\n      \"  improvement from the last ten iterations.\\n\",\n      \"  warnings.warn(msg, RuntimeWarning)\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"def f(x):\\n\",\n    \"    return [x[1] - x[0]**3 - 2 * x[0]**2 + 1,\\n\",\n    \"            x[1] + x[0]**2 - 1]\\n\",\n    \"\\n\",\n    \"x = np.linspace(-3, 2, 5000)\\n\",\n    \"y1 = x**3 + 2 * x**2 -1\\n\",\n    \"y2 = -x**2 + 1\\n\",\n    \"\\n\",\n    \"fig, ax = plt.subplots(figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"ax.plot(x, y1, 'k', lw=1.5, label=r'$y = x^3 + 2x^2 - 1$')\\n\",\n    \"ax.plot(x, y2, 'k', lw=1.5, label=r'$y = -x^2 + 1$')\\n\",\n    \"\\n\",\n    \"sol1 = optimize.fsolve(f, [-2,  2])\\n\",\n    \"sol2 = optimize.fsolve(f, [ 1, -1])\\n\",\n    \"sol3 = optimize.fsolve(f, [-2, -5])\\n\",\n    \"sols = [sol1, sol2, sol3]\\n\",\n    \"colors = ['r', 'b', 'g']\\n\",\n    \"for idx, s in enumerate(sols):\\n\",\n    \"    ax.plot(s[0], s[1], colors[idx]+'*', markersize=15)\\n\",\n    \"\\n\",\n    \"for m in np.linspace(-4, 3, 80):\\n\",\n    \"    for n in np.linspace(-15, 15, 40):\\n\",\n    \"        x_guess = [m, n]\\n\",\n    \"        sol = optimize.fsolve(f, x_guess)\\n\",\n    \"        idx = (abs(sols - sol)**2).sum(axis=1).argmin()\\n\",\n    \"        ax.plot(x_guess[0], x_guess[1], colors[idx]+'.')\\n\",\n    \"    \\n\",\n    \"ax.set_xlabel(r'$x$', fontsize=18)\\n\",\n    \"ax.set_xlim(-4, 3)\\n\",\n    \"ax.set_ylim(-15, 15)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch5-nonlinear-system-map.pdf')\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Versions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 89,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%reload_ext version_information\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 90,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/json\": {\n       \"Software versions\": [\n        {\n         \"module\": \"Python\",\n         \"version\": \"3.10.12 64bit [Clang 14.0.6 ]\"\n        },\n        {\n         \"module\": \"IPython\",\n         \"version\": \"8.12.0\"\n        },\n        {\n         \"module\": \"OS\",\n         \"version\": \"macOS 10.15.7 x86_64 i386 64bit\"\n        },\n        {\n         \"module\": \"sympy\",\n         \"version\": \"1.11.1\"\n        },\n        {\n         \"module\": \"scipy\",\n         \"version\": \"1.7.3\"\n        },\n        {\n         \"module\": \"numpy\",\n         \"version\": \"1.22.3\"\n        },\n        {\n         \"module\": \"matplotlib\",\n         \"version\": \"3.7.1\"\n        }\n       ]\n      },\n      \"text/html\": [\n       \"<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.10.12 64bit [Clang 14.0.6 ]</td></tr><tr><td>IPython</td><td>8.12.0</td></tr><tr><td>OS</td><td>macOS 10.15.7 x86\\\\_64 i386 64bit</td></tr><tr><td>sympy</td><td>1.11.1</td></tr><tr><td>scipy</td><td>1.7.3</td></tr><tr><td>numpy</td><td>1.22.3</td></tr><tr><td>matplotlib</td><td>3.7.1</td></tr><tr><td colspan='2'>Sat Nov 02 18:16:50 2024 JST</td></tr></table>\"\n      ],\n      \"text/latex\": [\n       \"\\\\begin{tabular}{|l|l|}\\\\hline\\n\",\n       \"{\\\\bf Software} & {\\\\bf Version} \\\\\\\\ \\\\hline\\\\hline\\n\",\n       \"Python & 3.10.12 64bit [Clang 14.0.6 ] \\\\\\\\ \\\\hline\\n\",\n       \"IPython & 8.12.0 \\\\\\\\ \\\\hline\\n\",\n       \"OS & macOS 10.15.7 x86\\\\_64 i386 64bit \\\\\\\\ \\\\hline\\n\",\n       \"sympy & 1.11.1 \\\\\\\\ \\\\hline\\n\",\n       \"scipy & 1.7.3 \\\\\\\\ \\\\hline\\n\",\n       \"numpy & 1.22.3 \\\\\\\\ \\\\hline\\n\",\n       \"matplotlib & 3.7.1 \\\\\\\\ \\\\hline\\n\",\n       \"\\\\hline \\\\multicolumn{2}{|l|}{Sat Nov 02 18:16:50 2024 JST} \\\\\\\\ \\\\hline\\n\",\n       \"\\\\end{tabular}\\n\"\n      ],\n      \"text/plain\": [\n       \"Software versions\\n\",\n       \"Python 3.10.12 64bit [Clang 14.0.6 ]\\n\",\n       \"IPython 8.12.0\\n\",\n       \"OS macOS 10.15.7 x86_64 i386 64bit\\n\",\n       \"sympy 1.11.1\\n\",\n       \"scipy 1.7.3\\n\",\n       \"numpy 1.22.3\\n\",\n       \"matplotlib 3.7.1\\n\",\n       \"Sat Nov 02 18:16:50 2024 JST\"\n      ]\n     },\n     \"execution_count\": 90,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%version_information sympy, scipy, numpy, matplotlib\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"npbook_py310\",\n   \"language\": \"python\",\n   \"name\": \"npbook_py310\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "ch06-code-listing.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Chapter 6: Optimization\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"%matplotlib inline\\n\",\n    \"import matplotlib.pyplot as plt\\n\",\n    \"import matplotlib\\n\",\n    \"matplotlib.rcParams['mathtext.fontset'] = 'stix'\\n\",\n    \"matplotlib.rcParams['font.family'] = 'serif'\\n\",\n    \"matplotlib.rcParams['font.sans-serif'] = 'stix'\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import sympy\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"sympy.init_printing()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from scipy import optimize\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import cvxopt\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"#from __future__ import division\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Univariate\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"r, h = sympy.symbols(\\\"r, h\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"Area = 2 * sympy.pi * r**2 + 2 * sympy.pi * r * h\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"Volume = sympy.pi * r**2 * h\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"h_r = sympy.solve(Volume - 1)[0]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"Area_r = Area.subs(h_r)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"rsol = sympy.solve(Area_r.diff(r))[0]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{2^{\\\\frac{2}{3}}}{2 \\\\sqrt[3]{\\\\pi}}$\"\n      ],\n      \"text/plain\": [\n       \"   2/3 \\n\",\n       \"  2    \\n\",\n       \"───────\\n\",\n       \"  3 ___\\n\",\n       \"2⋅╲╱ π \"\n      ]\n     },\n     \"execution_count\": 14,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"rsol\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0.541926070139289$\"\n      ],\n      \"text/plain\": [\n       \"0.541926070139289\"\n      ]\n     },\n     \"execution_count\": 15,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"_.evalf()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 12 \\\\pi$\"\n      ],\n      \"text/plain\": [\n       \"12⋅π\"\n      ]\n     },\n     \"execution_count\": 16,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# verify that the second derivative is positive, so that rsol is a minimum\\n\",\n    \"Area_r.diff(r, 2).subs(r, rsol)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAFYAAAAXCAYAAACRUrg+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAEfElEQVRYCdWY7XEUMQxANxkKAEoIHUDoADoAOoB0AMO//GOgA6ACPjoAOgA6gBIgHYT3jLXj3bXv9pa9AzSj2JZkWZIlrS9Hl5eX3f8C5+fnN7H1y1x7kT+aK7u23JW1Fe6qLwfrNO+7y/gM2teGnufQb23gN7YdnvzXA4vLBuuJwQJ/MH8N3gIHAM9s7ZQbMPa8yOfOrpIw518I7H2MvwCvYlTK2DBuND5l7SUcGhZVyV8PbA7qCdG6kyP2fRw5ZOSfMH4c85as0WP2b20/Wa5j3LlK+sCyWePPsqFmj+vn0FdxJuudDJ4LGsxXjJ77k/EaeFEIP2Eu9gBf+4JmkGwjqaX0Qu3JrPbD9sVVkgKbHdKoCGzH/BGKPzBaqu/bNi7noNdAfgPj6319rC3LnDKWtsWl3w95+AbrC+NdcFsybG0/6PCMxVVynA0ziI9Qdi+vHd7mube2F+A8s/KM0bMfMzc4BqbMVmnPwBKkPSwJ7DF73feupNfm6gcN3IPMn7Qf6JMqqelq0Y58x3KI/U2DvMn+tpn7yPVrPflKtxSuSedcM9osvFHqZf2TtbxBy4CuDybHDea1YMFKL4toPx1y6lFfryvTPjEu9jtagcG8BvaA0sjelz3x8JNWj9Pem9hohtbAYFUhB21j+2FjrUqq+lrElLFjJoebwQbUj9erMX+NNXq9OEuyr5CxXnjfwEG2jmXKtfKszcbo2SW7n8O39QlewG3wJbRkB6O0SZVA6+DZrrzs5sXB8yN8ljKWRQIIPkMMqof5xPgMrg6FgZZrtdyyzOxqybbbN+Ol0LQb2U3JUq0S9pjFgh/MuJA3zE/zOi4mPc2qGYtghyIzKvruaq8C9Oq8TyMdMAOqP1GRW5KtH9nXvx7QPYDs085Vwj4TzkpIcWDU7veM3/Pcc1NA48B4FcS6HxFUyQX4jnkz9eWBl+Csn33IaYx640tvgAcA31LdJVuV3RZUg+HP5cg8pkPgXGUm50L3A14mly+X+Dha3THvFabAIuSHwFsZw+dMsD1UgX0GScUhW5UbE/M+S/Iec7O4BMt5U7n2suxN/ZJxU6aqX31iy1d1+vR74aQF8I2TPgdUP6LHCJqNZpsN2/nOwD6fN03HNiiM7On7InpsQZZZaXxVRZYdnA3Nkh1cFOs1q0Q/7a0Bg7OCaGB1QKw5Y2MWml/u3+xlf3U46/YHQlyqrSHaRFMx8mbObcb+UrKwF2MPnwCy+rm4SrKNVsggHtAnFR2vgrFxHcIaqLOWhwbtC8xaDTO4qaVsOw++WeKH1b5a9sTr0CzNTeXseQZHn1OVIT+3Stxnvy3j4dz/yg2CfQyhQ9BbtFx8zyVk7aE2aXl7A/RrkF9UM1WM9sC0CQbV4OpoiQaodJrlEDhvcZWgqfZvzUFA47TmcysEDjHirAExWLYj34l7Bc6wQj6AZq2BNoFS9jJfBVLGrqLpD5TglE8ZHZy0pD9Q29zKeUuqpKmvxogeW+MdlIazs3+6rmSYH0irxBbopa4K/0TGrurRTGX7rpJfckAMnwhb1c0AAAAASUVORK5CYII=\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 3 \\\\cdot \\\\sqrt[3]{2} \\\\sqrt[3]{\\\\pi}$\"\n      ],\n      \"text/plain\": [\n       \"  3 ___ 3 ___\\n\",\n       \"3⋅╲╱ 2 ⋅╲╱ π \"\n      ]\n     },\n     \"execution_count\": 17,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"Area_r.subs(r, rsol)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAJ8AAAAPCAYAAAD6fR2jAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAGX0lEQVRoBeWa7ZEUNxCG19QFsOAIgAw4yAAyADsCIAMofh3/KMgAHIGBDIAIMJcBOAKOy+D8PNrp8YxWs+oxLspV7iqdpFb3q+5W62MWNhcXF5uTk5Mb1tMCb0u5NuUttb9Xv8b9t/Fq/P9q///m99FmRx+ePn26pXk69G1Lx7uq+zelzxzXQHo4oDmH/efw3w+8qLJ4YjyhfKX8TLH/poEHe0eM3aD1hnJM+3xgzyr4zweGuNcp2vhlJlR1BtyH1OFfJfF394Bsyu9AAudltKmvUO7Dm/lEPxXzQe7xgHeT+ozyGH7kxDC0q+CnYoTcoo2RfE5kcWEM8lvKMxRnjsBboq4+WCaGzoyLQ/sBvHfU9yjOGdTFGwRNihFPHn2Tb0sZ8ewz9BtFXAPrgjQJ2U8M6HvRH3Q/Ud+hHEpAE/q0CbrPXJJN+R02AfuS9gvhqV27P6ndVMVO6lTMkYtD4J5YEjyTK/yeHQ6MdWOEjHMrt2hjJN8pwuPEKKyljL6J9oB5TLZIjNfw3BmeXsGjuenigSGeztV0H8YHyoiH7Dn94h/tR7RdqD0aMOvEPYcvlnbe2VOCMWC2hvZ4Hdmu3wOgG+kKWCXx5NFW9w+anl6xIbMxN9GM20hgeVCo70a5HAMDLxOjro2XAvQH1J4KJoGlEI6M7eCtqL0Ov2fDtKYSr3V6fYR/G3u3tRI8E3nmVy0T/TWyobNQ34XfOoW13YQJysb8NgrfGv554plo05siG6OujT8s+XDgPeWydUSGtgZK03fBjtP/+w4RE8KTdJoU7uJ/gueMLsKZjYpikzhe06/M/6pmLvTXyDYhJr627PyqEjLlZKfOxtw1+YJ8+FnPPY1vN0bghPxBG49iFhTcMaHkqeJd7c5J0Vp95HXCRPGRvrd4PTzGDazXoQnsrvW60e7ptU43R+iH74cUrkwH0fEKTyV6Vha5g+vAuM8AzZjZIgPyo0tqjW3Qa8Yc/tINEklc8gC5VIyQS9kYJ5+gr1F6YaEdj02NzVBaH/wbFBfNd4lO+U6pKYUHjkGLd48236SkN0w1aSzYecW3ezbwtKsQc3sVGeTW9TdIrZZN+Q2qm875ayrJAnM2ho2ZmM+w1Blw4gvY8TUx6tpYko+J/JIbg07bgHoUZ3d1Wh9sH8YmuYnzO8Uvqrh+6ZZrI4U30fPE014D9hl+dtMgvoriZFGpeWIvoKVksTvlN3OUj4Opn7T1PdYwNksxh7FuzBt2+6HxCt3Y3A2RJiti1LWxJF8TYvegvcbks120INtim8AH9cF2dxiw8vNIC2TCm+Gh6/XkYvlV5nvFL9G4PjJ4E+jSnC1YNRg7Pt5Uzp3dmGnZas7ozvyWia/G7CrFn6geUTz1XSc/jCR1moRsN+bI6JvPmvhqDqw1MeraeMQEPtz9bD+OGap6W/Vn3aw+cu7MDfXpDGB37XpSWd5m8ZA14C7ASOiq7yn4mVLwxsFOA714p7T8DZ5J7iJvqRcXOKZaKbtqHbSXeWbJAS82RLGNfirmYa81Om4W6xn2wEvFSFkJjIM2HiHjO6mV0WW3A1Ani7hT6uqD4eKV3+Ro+8WrUUuUxTMB9nDgmSDu7jitluZp8b26Wyd9YDmufbeYw2tpSi60J718bfCtJFZWtus3WD0SwxPLJFkT84KLzl0a16nHxKNd4kEdmy0To0N2jjaafN7r00dlKHpyOFGPuvrgGwwTpQSmAtQYKeZK44HpYkdQdii7vwY+8Kb8XtvE8UStyVvBd1PxgfYeNmPf5FPH1b+hrVxKFrmu38gUAtck8Ufcq7S1yblMEjdAucHkD2OZmKuvrhulzgXnmv4akYmReF0bLwHsTypxXNMtjvg1Kk0D6UlzQan/VSGlD5ZOebWMNBhoovggL0GkncXTtr23HTheG/7c0kpKhpYJHYN8Rm3gCtHWvl8os38B2I3O/ipnyVBLNuu3+CZafVu5hsZxelOlYo6OeCaVa1zsGGp507XZwM/GqGvjT/4PDwAVjIz3itExH/Ln1CPR9y3lThqPZQfpZ/U9TceEpq3e3n8sWIHnbn1CmS6ECdk6bUpwkb1JcfFNThfqI/LjFx1tx8QsHxfUtyjP4E8XFdaO4LvoYmqL5Nwm/4hZuPzpyTKeiqN4yE5PaG1e8rsbc7A8UMJ+4afkiT/7HqCfilHPxr8AnYvDBBpROk4AAAAASUVORK5CYII=\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 5.53581044593209$\"\n      ],\n      \"text/plain\": [\n       \"5.53581044593209\"\n      ]\n     },\n     \"execution_count\": 18,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"_.evalf()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def f(r):\\n\",\n    \"    return 2 * np.pi * r**2 + 2 / r\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"r_min = optimize.brent(f, brack=(0.1, 4))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0.541926077255714$\"\n      ],\n      \"text/plain\": [\n       \"0.5419260772557135\"\n      ]\n     },\n     \"execution_count\": 21,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"r_min\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 5.53581044593209$\"\n      ],\n      \"text/plain\": [\n       \"5.535810445932086\"\n      ]\n     },\n     \"execution_count\": 22,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f(r_min)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"     fun: 5.535810445932086\\n\",\n       \"    nfev: 19\\n\",\n       \"     nit: 15\\n\",\n       \" success: True\\n\",\n       \"       x: 0.5419260772557135\"\n      ]\n     },\n     \"execution_count\": 23,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"optimize.minimize_scalar(f, bracket=(0.1, 4))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"r = np.linspace(0, 2, 100)[1:]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"ax.plot(r, f(r), lw=2, color='b')\\n\",\n    \"ax.plot(r_min, f(r_min), 'r*', markersize=15)\\n\",\n    \"ax.set_title(r\\\"$f(r) = 2\\\\pi r^2+2/r$\\\", fontsize=18)\\n\",\n    \"ax.set_xlabel(r\\\"$r$\\\", fontsize=18)\\n\",\n    \"ax.set_xticks([0, 0.5, 1, 1.5, 2])\\n\",\n    \"ax.set_ylim(0, 30)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch6-univariate-optimization-example.pdf')\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Two-dimensional\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x1, x2 = sympy.symbols(\\\"x_1, x_2\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f_sym = (x1-1)**4 + 5 * (x2-1)**2 - 2*x1*x2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"fprime_sym = [f_sym.diff(x_) for x_ in (x1, x2)]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}- 2 x_{2} + 4 \\\\left(x_{1} - 1\\\\right)^{3}\\\\\\\\- 2 x_{1} + 10 x_{2} - 10\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡                  3⎤\\n\",\n       \"⎢-2⋅x₂ + 4⋅(x₁ - 1) ⎥\\n\",\n       \"⎢                   ⎥\\n\",\n       \"⎣-2⋅x₁ + 10⋅x₂ - 10 ⎦\"\n      ]\n     },\n     \"execution_count\": 29,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# Gradient\\n\",\n    \"sympy.Matrix(fprime_sym)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"fhess_sym = [[f_sym.diff(x1_, x2_) for x1_ in (x1, x2)] for x2_ in (x1, x2)]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}12 \\\\left(x_{1} - 1\\\\right)^{2} & -2\\\\\\\\-2 & 10\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡           2    ⎤\\n\",\n       \"⎢12⋅(x₁ - 1)   -2⎥\\n\",\n       \"⎢                ⎥\\n\",\n       \"⎣     -2       10⎦\"\n      ]\n     },\n     \"execution_count\": 31,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# Hessian\\n\",\n    \"sympy.Matrix(fhess_sym)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 32,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f_lmbda = sympy.lambdify((x1, x2), f_sym, 'numpy')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 33,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"fprime_lmbda = sympy.lambdify((x1, x2), fprime_sym, 'numpy')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 34,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"fhess_lmbda = sympy.lambdify((x1, x2), fhess_sym, 'numpy')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 35,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def func_XY_X_Y(f):\\n\",\n    \"    \\\"\\\"\\\"\\n\",\n    \"    Wrapper for f(X) -> f(X[0], X[1])\\n\",\n    \"    \\\"\\\"\\\"\\n\",\n    \"    return lambda X: np.array(f(X[0], X[1]))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 36,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f = func_XY_X_Y(f_lmbda)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 37,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"fprime = func_XY_X_Y(fprime_lmbda)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 38,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"fhess = func_XY_X_Y(fhess_lmbda)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 39,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Optimization terminated successfully.\\n\",\n      \"         Current function value: -3.867223\\n\",\n      \"         Iterations: 8\\n\",\n      \"         Function evaluations: 10\\n\",\n      \"         Gradient evaluations: 10\\n\",\n      \"         Hessian evaluations: 8\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"X_opt = optimize.fmin_ncg(f, (0, 0), fprime=fprime, fhess=fhess)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 40,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1.88292613, 1.37658523])\"\n      ]\n     },\n     \"execution_count\": 40,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"X_opt\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 41,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 600x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(6, 4))\\n\",\n    \"x_ = y_ = np.linspace(-1, 4, 100)\\n\",\n    \"X, Y = np.meshgrid(x_, y_)\\n\",\n    \"c = ax.contour(X, Y, f_lmbda(X, Y), 50)\\n\",\n    \"ax.plot(X_opt[0], X_opt[1], 'r*', markersize=15)\\n\",\n    \"ax.set_xlabel(r\\\"$x_1$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(r\\\"$x_2$\\\", fontsize=18)\\n\",\n    \"plt.colorbar(c, ax=ax)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch6-examaple-two-dim.pdf');\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Brute force search for initial point\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 42,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def f(X):\\n\",\n    \"    x, y = X\\n\",\n    \"    return (4 * np.sin(np.pi * x) + 6 * np.sin(np.pi * y)) + (x - 1)**2 + (y - 1)**2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 43,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x_start = optimize.brute(f, (slice(-3, 5, 0.5), slice(-3, 5, 0.5)), finish=None)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 44,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1.5, 1.5])\"\n      ]\n     },\n     \"execution_count\": 44,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x_start\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 45,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle -9.5$\"\n      ],\n      \"text/plain\": [\n       \"-9.5\"\n      ]\n     },\n     \"execution_count\": 45,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f(x_start)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 46,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Optimization terminated successfully.\\n\",\n      \"         Current function value: -9.520229\\n\",\n      \"         Iterations: 4\\n\",\n      \"         Function evaluations: 21\\n\",\n      \"         Gradient evaluations: 7\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"x_opt = optimize.fmin_bfgs(f, x_start)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 47,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1.47586906, 1.48365787])\"\n      ]\n     },\n     \"execution_count\": 47,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x_opt\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 48,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle -9.52022927305502$\"\n      ],\n      \"text/plain\": [\n       \"-9.520229273055016\"\n      ]\n     },\n     \"execution_count\": 48,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f(x_opt)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 49,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def func_X_Y_to_XY(f, X, Y):\\n\",\n    \"    s = np.shape(X)\\n\",\n    \"    return f(np.vstack([X.ravel(), Y.ravel()])).reshape(*s)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 50,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 600x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(6, 4))\\n\",\n    \"x_ = y_ = np.linspace(-3, 5, 100)\\n\",\n    \"X, Y = np.meshgrid(x_, y_)\\n\",\n    \"c = ax.contour(X, Y, func_X_Y_to_XY(f, X, Y), 25)\\n\",\n    \"ax.plot(x_opt[0], x_opt[1], 'r*', markersize=15)\\n\",\n    \"ax.set_xlabel(r\\\"$x_1$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(r\\\"$x_2$\\\", fontsize=18)\\n\",\n    \"plt.colorbar(c, ax=ax)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch6-example-2d-many-minima.pdf');\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Nonlinear least square\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 51,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def f(x, beta0, beta1, beta2):\\n\",\n    \"    return beta0 + beta1 * np.exp(-beta2 * x**2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 52,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"beta = (0.25, 0.75, 0.5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 53,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"xdata = np.linspace(0, 5, 50)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 54,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y = f(xdata, *beta)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 55,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ydata = y + 0.05 * np.random.randn(len(xdata))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 56,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def g(beta):\\n\",\n    \"    return ydata - f(xdata, *beta)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 57,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"beta_start = (1, 1, 1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 58,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"beta_opt, beta_cov = optimize.leastsq(g, beta_start)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 59,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0.25692728, 0.74831712, 0.51663561])\"\n      ]\n     },\n     \"execution_count\": 59,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"beta_opt\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 60,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots()\\n\",\n    \"\\n\",\n    \"ax.scatter(xdata, ydata, label=\\\"samples\\\")\\n\",\n    \"ax.plot(xdata, y, 'r', lw=2, label=\\\"true model\\\")\\n\",\n    \"ax.plot(xdata, f(xdata, *beta_opt), 'b', lw=2, label=\\\"fitted model\\\")\\n\",\n    \"ax.set_xlim(0, 5)\\n\",\n    \"ax.set_xlabel(r\\\"$x$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(r\\\"$f(x, \\\\beta)$\\\", fontsize=18)\\n\",\n    \"ax.legend()\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch6-nonlinear-least-square.pdf')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 61,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"beta_opt, beta_cov = optimize.curve_fit(f, xdata, ydata)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 62,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0.25692728, 0.74831712, 0.51663561])\"\n      ]\n     },\n     \"execution_count\": 62,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"beta_opt\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Constrained optimization\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Bounds\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 63,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def f(X):\\n\",\n    \"    x, y = X\\n\",\n    \"    return (x-1)**2 + (y-1)**2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 64,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x_opt = optimize.minimize(f, [0, 0], method='BFGS').x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 65,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"bnd_x1, bnd_x2 = (2, 3), (0, 2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 66,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x_cons_opt = optimize.minimize(f, [0, 0], method='L-BFGS-B', bounds=[bnd_x1, bnd_x2]).x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 67,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 600x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(6, 4))\\n\",\n    \"x_ = y_ = np.linspace(-1, 3, 100)\\n\",\n    \"X, Y = np.meshgrid(x_, y_)\\n\",\n    \"c = ax.contour(X, Y, func_X_Y_to_XY(f, X, Y), 50)\\n\",\n    \"ax.plot(x_opt[0], x_opt[1], 'b*', markersize=15)\\n\",\n    \"ax.plot(x_cons_opt[0], x_cons_opt[1], 'r*', markersize=15)\\n\",\n    \"bound_rect = plt.Rectangle((bnd_x1[0], bnd_x2[0]), \\n\",\n    \"                           bnd_x1[1] - bnd_x1[0], bnd_x2[1] - bnd_x2[0],\\n\",\n    \"                           facecolor=\\\"grey\\\")\\n\",\n    \"ax.add_patch(bound_rect)\\n\",\n    \"ax.set_xlabel(r\\\"$x_1$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(r\\\"$x_2$\\\", fontsize=18)\\n\",\n    \"plt.colorbar(c, ax=ax)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch6-example-constraint-bound.pdf');\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Lagrange multiplier\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 68,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = x1, x2, x3, l = sympy.symbols(\\\"x_1, x_2, x_3, lambda\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 69,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f = x1 * x2 * x3\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 70,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"g = 2 * (x1 * x2 + x2 * x3 + x3 * x1) - 1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 71,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"L = f + l * g\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 72,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"grad_L = [sympy.diff(L, x_) for x_ in x]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 73,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[ \\\\left\\\\{ \\\\lambda : - \\\\frac{\\\\sqrt{6}}{24}, \\\\  x_{1} : \\\\frac{\\\\sqrt{6}}{6}, \\\\  x_{2} : \\\\frac{\\\\sqrt{6}}{6}, \\\\  x_{3} : \\\\frac{\\\\sqrt{6}}{6}\\\\right\\\\}, \\\\  \\\\left\\\\{ \\\\lambda : \\\\frac{\\\\sqrt{6}}{24}, \\\\  x_{1} : - \\\\frac{\\\\sqrt{6}}{6}, \\\\  x_{2} : - \\\\frac{\\\\sqrt{6}}{6}, \\\\  x_{3} : - \\\\frac{\\\\sqrt{6}}{6}\\\\right\\\\}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡⎧   -√6       √6      √6      √6⎫  ⎧   √6      -√6       -√6       -√6 ⎫⎤\\n\",\n       \"⎢⎨λ: ────, x₁: ──, x₂: ──, x₃: ──⎬, ⎨λ: ──, x₁: ────, x₂: ────, x₃: ────⎬⎥\\n\",\n       \"⎣⎩    24       6       6       6 ⎭  ⎩   24       6         6         6  ⎭⎦\"\n      ]\n     },\n     \"execution_count\": 73,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sols = sympy.solve(grad_L)\\n\",\n    \"sols\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 74,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAAoAAAAOCAYAAAAWo42rAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA0UlEQVQoFXWR0Q2CQBBEhVgAwQ60BLUCsQO0A+3BP/4MJWgLWgIdGCmBDiB2gG+OW0PIuckyO3Ozu5cj6vt+ZlEURenrFlyRJVojLTIjwht+BZ86ABNA2p66ib14BhMzee0Dqukm7ozggawlTOIFzzTdjBlCNzGJaqoii/1dBvr/m2pi6s+te2y3Lb/V48NQvdBE6woZbFurO9rKJOA0bXhHDBW5DBhtYmXP88C0CRjXaLW2OiPFHaEDczNTa+2RPEmb6+ND3RcMdoUtfAd3f+wLrOY/XeyA6s8AAAAASUVORK5CYII=\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0$\"\n      ],\n      \"text/plain\": [\n       \"0\"\n      ]\n     },\n     \"execution_count\": 74,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"g.subs(sols[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 75,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{\\\\sqrt{6}}{36}$\"\n      ],\n      \"text/plain\": [\n       \"√6\\n\",\n       \"──\\n\",\n       \"36\"\n      ]\n     },\n     \"execution_count\": 75,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f.subs(sols[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 76,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def f(X):\\n\",\n    \"    return -X[0] * X[1] * X[2]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 77,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def g(X):\\n\",\n    \"    return 2 * (X[0]*X[1] + X[1] * X[2] + X[2] * X[0]) - 1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 78,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"constraints = [dict(type='eq', fun=g)]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 79,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"result = optimize.minimize(f, [0.5, 1, 1.5], method='SLSQP', constraints=constraints)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 80,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"     fun: -0.06804136862287297\\n\",\n       \"     jac: array([-0.16666925, -0.16666542, -0.16666526])\\n\",\n       \" message: 'Optimization terminated successfully'\\n\",\n       \"    nfev: 77\\n\",\n       \"     nit: 18\\n\",\n       \"    njev: 18\\n\",\n       \"  status: 0\\n\",\n       \" success: True\\n\",\n       \"       x: array([0.40824188, 0.40825127, 0.40825165])\"\n      ]\n     },\n     \"execution_count\": 80,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"result\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 81,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0.40824188, 0.40825127, 0.40825165])\"\n      ]\n     },\n     \"execution_count\": 81,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"result.x\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Inequality constraints\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 82,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def f(X):\\n\",\n    \"    return (X[0] - 1)**2 + (X[1] - 1)**2\\n\",\n    \"\\n\",\n    \"def g(X):\\n\",\n    \"    return X[1] - 1.75 - (X[0] - 0.75)**4\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 83,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"CPU times: user 2.3 ms, sys: 1.01 ms, total: 3.31 ms\\n\",\n      \"Wall time: 2.49 ms\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%time x_opt = optimize.minimize(f, (0, 0), method='BFGS').x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 84,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"constraints = [dict(type='ineq', fun=g)]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 85,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"CPU times: user 8.71 ms, sys: 3.08 ms, total: 11.8 ms\\n\",\n      \"Wall time: 9.24 ms\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%time x_cons_opt = optimize.minimize(f, (0, 0), method='SLSQP', constraints=constraints).x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 86,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"CPU times: user 967 µs, sys: 397 µs, total: 1.36 ms\\n\",\n      \"Wall time: 1.1 ms\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%time x_cons_opt = optimize.minimize(f, (0, 0), method='COBYLA', constraints=constraints).x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 87,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 600x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(6, 4))\\n\",\n    \"x_ = y_ = np.linspace(-1, 3, 100)\\n\",\n    \"X, Y = np.meshgrid(x_, y_)\\n\",\n    \"c = ax.contour(X, Y, func_X_Y_to_XY(f, X, Y), 50)\\n\",\n    \"ax.plot(x_opt[0], x_opt[1], 'b*', markersize=15)\\n\",\n    \"\\n\",\n    \"ax.plot(x_, 1.75 + (x_-0.75)**4, 'k-', markersize=15)\\n\",\n    \"ax.fill_between(x_, 1.75 + (x_-0.75)**4, 3, color=\\\"grey\\\")\\n\",\n    \"ax.plot(x_cons_opt[0], x_cons_opt[1], 'r*', markersize=15)\\n\",\n    \"\\n\",\n    \"ax.set_ylim(-1, 3)\\n\",\n    \"ax.set_xlabel(r\\\"$x_0$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(r\\\"$x_1$\\\", fontsize=18)\\n\",\n    \"plt.colorbar(c, ax=ax)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch6-example-constraint-inequality.pdf');\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Linear programming\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 88,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"c = np.array([-1.0, 2.0, -3.0])\\n\",\n    \"\\n\",\n    \"A = np.array([[ 1.0, 1.0, 0.0],\\n\",\n    \"              [-1.0, 3.0, 0.0],\\n\",\n    \"              [ 0.0, -1.0, 1.0]])\\n\",\n    \"\\n\",\n    \"b = np.array([1.0, 2.0, 3.0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 89,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"A_ = cvxopt.matrix(A)\\n\",\n    \"b_ = cvxopt.matrix(b)\\n\",\n    \"c_ = cvxopt.matrix(c)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 90,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Optimal solution found.\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"sol = cvxopt.solvers.lp(c_, A_, b_)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 91,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.array(sol['x'])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 92,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0.25],\\n\",\n       \"       [0.75],\\n\",\n       \"       [3.75]])\"\n      ]\n     },\n     \"execution_count\": 92,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 93,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"{'x': <3x1 matrix, tc='d'>,\\n\",\n       \" 'y': <0x1 matrix, tc='d'>,\\n\",\n       \" 's': <3x1 matrix, tc='d'>,\\n\",\n       \" 'z': <3x1 matrix, tc='d'>,\\n\",\n       \" 'status': 'optimal',\\n\",\n       \" 'gap': 0.0,\\n\",\n       \" 'relative gap': 0.0,\\n\",\n       \" 'primal objective': -10.0,\\n\",\n       \" 'dual objective': -10.0,\\n\",\n       \" 'primal infeasibility': 0.0,\\n\",\n       \" 'primal slack': -0.0,\\n\",\n       \" 'dual slack': 0.0,\\n\",\n       \" 'dual infeasibility': 1.4835979218054372e-16,\\n\",\n       \" 'residual as primal infeasibility certificate': None,\\n\",\n       \" 'residual as dual infeasibility certificate': None,\\n\",\n       \" 'iterations': 0}\"\n      ]\n     },\n     \"execution_count\": 93,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sol\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 94,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle -10.0$\"\n      ],\n      \"text/plain\": [\n       \"-10.0\"\n      ]\n     },\n     \"execution_count\": 94,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sol['primal objective']\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Quandratic problem with cvxopt\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Quadratic problem formulation:\\n\",\n    \"    \\n\",\n    \"$\\\\min \\\\frac{1}{2}x^TPx + q^T x$\\n\",\n    \"\\n\",\n    \"$G x \\\\leq h$ \\n\",\n    \"\\n\",\n    \"For example, let's solve the problem\\n\",\n    \"\\n\",\n    \"min $f(x_1, x_2) = (x_1 - 1)^2 + (x_2 - 1)^2 =$\\n\",\n    \"\\n\",\n    \"$x_1^2 -2x_1 + 1 + x_2^2 - 2x_2 + 1 = $\\n\",\n    \"\\n\",\n    \"$x_1^2 + x_2^2 - 2x_1 - 2x_2 + 2 =$\\n\",\n    \"\\n\",\n    \"$= \\\\frac{1}{2} x^T P x - q^T x + 2$\\n\",\n    \"\\n\",\n    \"and\\n\",\n    \"\\n\",\n    \"$\\\\frac{3}{4} x_1 + x_2 \\\\geq 3$, $x_1 \\\\geq 0$\\n\",\n    \"\\n\",\n    \"where\\n\",\n    \"\\n\",\n    \"$P = 2 [[1, 0], [0, 1]]$ and $q = [-2, -2]$\\n\",\n    \"\\n\",\n    \"and\\n\",\n    \"\\n\",\n    \"$G = [[-3/4, -1], [-1, 0]]$ and $h = [-3, 0]$\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 95,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from cvxopt import matrix, solvers\\n\",\n    \"\\n\",\n    \"P = 2 * np.array([[1.0, 0.0],\\n\",\n    \"                  [0.0, 1.0]])\\n\",\n    \"q = np.array([-2.0, -2.0])\\n\",\n    \"\\n\",\n    \"G = np.array([[-0.75, -1.0],\\n\",\n    \"              [-1.0,  0.0]])\\n\",\n    \"\\n\",\n    \"h = np.array([-3.0, 0.0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 96,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"_P = cvxopt.matrix(P)\\n\",\n    \"_q = cvxopt.matrix(q)\\n\",\n    \"_G = cvxopt.matrix(G)\\n\",\n    \"_h = cvxopt.matrix(h)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 97,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"     pcost       dcost       gap    pres   dres\\n\",\n      \" 0: -1.7901e+00 -2.0988e-01  6e+00  9e-01  1e+00\\n\",\n      \" 1: -7.1216e-01 -1.2878e+00  6e-01  1e-16  3e-16\\n\",\n      \" 2: -9.9733e-01 -1.0027e+00  5e-03  0e+00  8e-17\\n\",\n      \" 3: -9.9997e-01 -1.0000e+00  5e-05  2e-16  0e+00\\n\",\n      \" 4: -1.0000e+00 -1.0000e+00  5e-07  1e-16  1e-16\\n\",\n      \"Optimal solution found.\\n\",\n      \"CPU times: user 5.68 ms, sys: 7.67 ms, total: 13.3 ms\\n\",\n      \"Wall time: 5.07 ms\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%time sol = solvers.qp(_P, _q, _G, _h)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 98,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"# sol\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 99,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = sol['x']\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 100,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.array(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 101,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 1.00000026717038$\"\n      ],\n      \"text/plain\": [\n       \"1.0000002671703823\"\n      ]\n     },\n     \"execution_count\": 101,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sol['primal objective'] + 2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 102,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 600x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(6, 4))\\n\",\n    \"x_ = y_ = np.linspace(-1, 3, 100)\\n\",\n    \"X, Y = np.meshgrid(x_, y_)\\n\",\n    \"c = ax.contour(X, Y, func_X_Y_to_XY(f, X, Y), 50)\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"y_ = (h[0] - G[0, 0] * x_)/G[0, 1]\\n\",\n    \"mask = y_ < 3\\n\",\n    \"angle = -np.arctan((y_[mask][0] - y_[mask][-1]) / (x_[mask][-1]- x_[mask][0])) * 180 / np.pi\\n\",\n    \"ax.plot(x_, y_, 'k')\\n\",\n    \"ax.add_patch(plt.Rectangle((0, 3), 4, 3, angle=angle, facecolor=\\\"grey\\\"))\\n\",\n    \"\\n\",\n    \"ax.plot(x_opt[0], x_opt[1], 'b*', markersize=15)\\n\",\n    \"ax.plot(x[0], x[1], 'r*', markersize=15)\\n\",\n    \"\\n\",\n    \"ax.set_ylim(-1, 3)\\n\",\n    \"ax.set_xlim(-1, 3)\\n\",\n    \"ax.set_xlabel(r\\\"$x_1$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(r\\\"$x_2$\\\", fontsize=18)\\n\",\n    \"plt.colorbar(c, ax=ax)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch6-example-quadratic-problem-constraint-inequality.pdf');\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Versions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 103,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%reload_ext version_information\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 104,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/json\": {\n       \"Software versions\": [\n        {\n         \"module\": \"Python\",\n         \"version\": \"3.10.12 64bit [Clang 14.0.6 ]\"\n        },\n        {\n         \"module\": \"IPython\",\n         \"version\": \"8.12.0\"\n        },\n        {\n         \"module\": \"OS\",\n         \"version\": \"macOS 10.15.7 x86_64 i386 64bit\"\n        },\n        {\n         \"module\": \"numpy\",\n         \"version\": \"1.22.3\"\n        },\n        {\n         \"module\": \"scipy\",\n         \"version\": \"1.7.3\"\n        },\n        {\n         \"module\": \"cvxopt\",\n         \"version\": \"1.3.0\"\n        },\n        {\n         \"module\": \"sympy\",\n         \"version\": \"1.11.1\"\n        },\n        {\n         \"module\": \"matplotlib\",\n         \"version\": \"3.7.1\"\n        }\n       ]\n      },\n      \"text/html\": [\n       \"<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.10.12 64bit [Clang 14.0.6 ]</td></tr><tr><td>IPython</td><td>8.12.0</td></tr><tr><td>OS</td><td>macOS 10.15.7 x86\\\\_64 i386 64bit</td></tr><tr><td>numpy</td><td>1.22.3</td></tr><tr><td>scipy</td><td>1.7.3</td></tr><tr><td>cvxopt</td><td>1.3.0</td></tr><tr><td>sympy</td><td>1.11.1</td></tr><tr><td>matplotlib</td><td>3.7.1</td></tr><tr><td colspan='2'>Sat Nov 02 18:21:02 2024 JST</td></tr></table>\"\n      ],\n      \"text/latex\": [\n       \"\\\\begin{tabular}{|l|l|}\\\\hline\\n\",\n       \"{\\\\bf Software} & {\\\\bf Version} \\\\\\\\ \\\\hline\\\\hline\\n\",\n       \"Python & 3.10.12 64bit [Clang 14.0.6 ] \\\\\\\\ \\\\hline\\n\",\n       \"IPython & 8.12.0 \\\\\\\\ \\\\hline\\n\",\n       \"OS & macOS 10.15.7 x86\\\\_64 i386 64bit \\\\\\\\ \\\\hline\\n\",\n       \"numpy & 1.22.3 \\\\\\\\ \\\\hline\\n\",\n       \"scipy & 1.7.3 \\\\\\\\ \\\\hline\\n\",\n       \"cvxopt & 1.3.0 \\\\\\\\ \\\\hline\\n\",\n       \"sympy & 1.11.1 \\\\\\\\ \\\\hline\\n\",\n       \"matplotlib & 3.7.1 \\\\\\\\ \\\\hline\\n\",\n       \"\\\\hline \\\\multicolumn{2}{|l|}{Sat Nov 02 18:21:02 2024 JST} \\\\\\\\ \\\\hline\\n\",\n       \"\\\\end{tabular}\\n\"\n      ],\n      \"text/plain\": [\n       \"Software versions\\n\",\n       \"Python 3.10.12 64bit [Clang 14.0.6 ]\\n\",\n       \"IPython 8.12.0\\n\",\n       \"OS macOS 10.15.7 x86_64 i386 64bit\\n\",\n       \"numpy 1.22.3\\n\",\n       \"scipy 1.7.3\\n\",\n       \"cvxopt 1.3.0\\n\",\n       \"sympy 1.11.1\\n\",\n       \"matplotlib 3.7.1\\n\",\n       \"Sat Nov 02 18:21:02 2024 JST\"\n      ]\n     },\n     \"execution_count\": 104,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%version_information numpy, scipy, cvxopt, sympy, matplotlib\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"npbook_py310\",\n   \"language\": \"python\",\n   \"name\": \"npbook_py310\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "ch07-code-listing.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Chapter 7: Interpolation\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%matplotlib inline\\n\",\n    \"\\n\",\n    \"import matplotlib as mpl\\n\",\n    \"mpl.rcParams[\\\"font.family\\\"] = \\\"serif\\\"\\n\",\n    \"mpl.rcParams[\\\"font.size\\\"] = \\\"12\\\"\\n\",\n    \"\\n\",\n    \"mpl.rcParams['mathtext.fontset'] = 'stix'\\n\",\n    \"mpl.rcParams['font.family'] = 'serif'\\n\",\n    \"mpl.rcParams['font.sans-serif'] = 'stix'\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from numpy import polynomial as P\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from scipy import interpolate\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import matplotlib.pyplot as plt\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from scipy import linalg\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Polynomials\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"p1 = P.Polynomial([1,2,3])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/latex\": [\n       \"$x \\\\mapsto \\\\text{1.0} + \\\\text{2.0}\\\\,x + \\\\text{3.0}\\\\,x^{2}$\"\n      ],\n      \"text/plain\": [\n       \"Polynomial([1., 2., 3.], domain=[-1,  1], window=[-1,  1])\"\n      ]\n     },\n     \"execution_count\": 8,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"p1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'Polynomial([1., 2., 3.], domain=[-1,  1], window=[-1,  1])'\"\n      ]\n     },\n     \"execution_count\": 9,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"p1.__repr__()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"p2 = P.Polynomial.fromroots([-1, 1])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/latex\": [\n       \"$x \\\\mapsto \\\\text{-1.0}\\\\color{LightGray}{ + \\\\text{0.0}\\\\,x} + \\\\text{1.0}\\\\,x^{2}$\"\n      ],\n      \"text/plain\": [\n       \"Polynomial([-1.,  0.,  1.], domain=[-1.,  1.], window=[-1.,  1.])\"\n      ]\n     },\n     \"execution_count\": 11,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"p2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([-0.33333333-0.47140452j, -0.33333333+0.47140452j])\"\n      ]\n     },\n     \"execution_count\": 12,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"p1.roots()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([-1.,  1.])\"\n      ]\n     },\n     \"execution_count\": 13,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"p2.roots()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1., 2., 3.])\"\n      ]\n     },\n     \"execution_count\": 14,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"p1.coef\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([-1,  1])\"\n      ]\n     },\n     \"execution_count\": 15,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"p1.domain\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([-1,  1])\"\n      ]\n     },\n     \"execution_count\": 16,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"p1.window\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([10.75, 24.75, 44.75])\"\n      ]\n     },\n     \"execution_count\": 17,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"p1(np.array([1.5, 2.5, 3.5]))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<bound method ABCPolyBase.__repr__ of Polynomial([0., 2., 4.], domain=[-1.,  1.], window=[-1.,  1.])>\"\n      ]\n     },\n     \"execution_count\": 21,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"(p1+p2).__repr__\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/latex\": [\n       \"$x \\\\mapsto \\\\text{-0.2}\\\\color{LightGray}{ + \\\\text{0.0}\\\\,x} + \\\\text{0.2}\\\\,x^{2}$\"\n      ],\n      \"text/plain\": [\n       \"Polynomial([-0.2,  0. ,  0.2], domain=[-1.,  1.], window=[-1.,  1.])\"\n      ]\n     },\n     \"execution_count\": 22,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"p2 / 5\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"p1 = P.Polynomial.fromroots([1, 2, 3])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/latex\": [\n       \"$x \\\\mapsto \\\\text{-6.0} + \\\\text{11.0}\\\\,x - \\\\text{6.0}\\\\,x^{2} + \\\\text{1.0}\\\\,x^{3}$\"\n      ],\n      \"text/plain\": [\n       \"Polynomial([-6., 11., -6.,  1.], domain=[-1.,  1.], window=[-1.,  1.])\"\n      ]\n     },\n     \"execution_count\": 24,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"p1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"p2 = P.Polynomial.fromroots([2])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/latex\": [\n       \"$x \\\\mapsto \\\\text{-2.0} + \\\\text{1.0}\\\\,x$\"\n      ],\n      \"text/plain\": [\n       \"Polynomial([-2.,  1.], domain=[-1.,  1.], window=[-1.,  1.])\"\n      ]\n     },\n     \"execution_count\": 26,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"p2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"p3 = p1 // p2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/latex\": [\n       \"$x \\\\mapsto \\\\text{3.0} - \\\\text{4.0}\\\\,x + \\\\text{1.0}\\\\,x^{2}$\"\n      ],\n      \"text/plain\": [\n       \"Polynomial([ 3., -4.,  1.], domain=[-1.,  1.], window=[-1.,  1.])\"\n      ]\n     },\n     \"execution_count\": 28,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"p3\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1., 3.])\"\n      ]\n     },\n     \"execution_count\": 29,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"p3.roots()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/latex\": [\n       \"$x \\\\mapsto \\\\text{-2.0} + \\\\text{1.0}\\\\,x$\"\n      ],\n      \"text/plain\": [\n       \"Polynomial([-2.,  1.], domain=[-1.,  1.], window=[-1.,  1.])\"\n      ]\n     },\n     \"execution_count\": 30,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"p2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"c1 = P.Chebyshev([1, 2, 3])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 32,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/latex\": [\n       \"$x \\\\mapsto \\\\text{1.0}\\\\,{T}_{0}(x) + \\\\text{2.0}\\\\,{T}_{1}(x) + \\\\text{3.0}\\\\,{T}_{2}(x)$\"\n      ],\n      \"text/plain\": [\n       \"Chebyshev([1., 2., 3.], domain=[-1,  1], window=[-1,  1])\"\n      ]\n     },\n     \"execution_count\": 32,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"c1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 33,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([-0.76759188,  0.43425855])\"\n      ]\n     },\n     \"execution_count\": 33,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"c1.roots()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 34,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"c = P.Chebyshev.fromroots([-1, 1])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 35,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/latex\": [\n       \"$x \\\\mapsto \\\\text{-0.5}\\\\,{T}_{0}(x)\\\\color{LightGray}{ + \\\\text{0.0}\\\\,{T}_{1}(x)} + \\\\text{0.5}\\\\,{T}_{2}(x)$\"\n      ],\n      \"text/plain\": [\n       \"Chebyshev([-0.5,  0. ,  0.5], domain=[-1.,  1.], window=[-1.,  1.])\"\n      ]\n     },\n     \"execution_count\": 35,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"c\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 36,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"l = P.Legendre.fromroots([-1, 1])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 37,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/latex\": [\n       \"$x \\\\mapsto \\\\text{-0.6666666666666667}\\\\,{P}_{0}(x)\\\\color{LightGray}{ + \\\\text{0.0}\\\\,{P}_{1}(x)} + \\\\text{0.6666666666666666}\\\\,{P}_{2}(x)$\"\n      ],\n      \"text/plain\": [\n       \"Legendre([-0.66666667,  0.        ,  0.66666667], domain=[-1.,  1.], window=[-1.,  1.])\"\n      ]\n     },\n     \"execution_count\": 37,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"l\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 38,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([-0.75,  1.25,  5.25])\"\n      ]\n     },\n     \"execution_count\": 38,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"c(np.array([0.5, 1.5, 2.5]))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 39,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([-0.75,  1.25,  5.25])\"\n      ]\n     },\n     \"execution_count\": 39,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"l(np.array([0.5, 1.5, 2.5]))\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Polynomial interpolation\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 40,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.array([1, 2, 3, 4])\\n\",\n    \"y = np.array([1, 3, 5, 4])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 41,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"deg = len(x) - 1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 42,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"A = P.polynomial.polyvander(x, deg)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 43,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"c = linalg.solve(A, y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 44,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 2. , -3.5,  3. , -0.5])\"\n      ]\n     },\n     \"execution_count\": 44,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"c\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 45,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f1 = P.Polynomial(c)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 46,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"4.1875\"\n      ]\n     },\n     \"execution_count\": 46,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f1(2.5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 47,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"A = P.chebyshev.chebvander(x, deg)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 48,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"c = linalg.solve(A, y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 49,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 3.5  , -3.875,  1.5  , -0.125])\"\n      ]\n     },\n     \"execution_count\": 49,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"c\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 50,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f2 = P.Chebyshev(c)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 51,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"4.1875\"\n      ]\n     },\n     \"execution_count\": 51,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f2(2.5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 52,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"xx = np.linspace(x.min(), x.max(), 100)\\n\",\n    \"\\n\",\n    \"fig, ax = plt.subplots(1, 1, figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"ax.plot(xx, f1(xx), 'b', lw=2, label='Power basis interp.')\\n\",\n    \"ax.plot(xx, f2(xx), 'r--', lw=2, label='Chebyshev basis interp.')\\n\",\n    \"ax.scatter(x, y, label='data points')\\n\",\n    \"\\n\",\n    \"ax.legend(loc=4)\\n\",\n    \"ax.set_xticks(x)\\n\",\n    \"ax.set_ylabel(r\\\"$y$\\\", fontsize=18)\\n\",\n    \"ax.set_xlabel(r\\\"$x$\\\", fontsize=18)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch7-polynomial-interpolation.pdf');\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 53,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f1b = P.Polynomial.fit(x, y, deg)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 54,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/latex\": [\n       \"$x \\\\mapsto \\\\text{4.187500000000003} + \\\\text{3.187499999999996}\\\\,\\\\left(\\\\text{-1.6666666666666667} + \\\\text{0.6666666666666666}x\\\\right) - \\\\text{1.687500000000004}\\\\,\\\\left(\\\\text{-1.6666666666666667} + \\\\text{0.6666666666666666}x\\\\right)^{2} - \\\\text{1.6874999999999973}\\\\,\\\\left(\\\\text{-1.6666666666666667} + \\\\text{0.6666666666666666}x\\\\right)^{3}$\"\n      ],\n      \"text/plain\": [\n       \"Polynomial([ 4.1875,  3.1875, -1.6875, -1.6875], domain=[1., 4.], window=[-1.,  1.])\"\n      ]\n     },\n     \"execution_count\": 54,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f1b\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 55,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f2b = P.Chebyshev.fit(x, y, deg)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 56,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/latex\": [\n       \"$x \\\\mapsto \\\\text{3.3437500000000004}\\\\,{T}_{0}(\\\\text{-1.6666666666666667} + \\\\text{0.6666666666666666}x) + \\\\text{1.9218749999999991}\\\\,{T}_{1}(\\\\text{-1.6666666666666667} + \\\\text{0.6666666666666666}x) - \\\\text{0.8437500000000021}\\\\,{T}_{2}(\\\\text{-1.6666666666666667} + \\\\text{0.6666666666666666}x) - \\\\text{0.42187499999999944}\\\\,{T}_{3}(\\\\text{-1.6666666666666667} + \\\\text{0.6666666666666666}x)$\"\n      ],\n      \"text/plain\": [\n       \"Chebyshev([ 3.34375 ,  1.921875, -0.84375 , -0.421875], domain=[1., 4.], window=[-1.,  1.])\"\n      ]\n     },\n     \"execution_count\": 56,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f2b\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 57,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"4659.738424139959\"\n      ]\n     },\n     \"execution_count\": 57,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.linalg.cond(P.chebyshev.chebvander(x, deg))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 58,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"1.8542033440472896\"\n      ]\n     },\n     \"execution_count\": 58,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.linalg.cond(P.chebyshev.chebvander((2*x-5)/3.0, deg))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 59,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([-1.        , -0.33333333,  0.33333333,  1.        ])\"\n      ]\n     },\n     \"execution_count\": 59,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"(2 * x - 5)/3.0\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 60,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f1 = P.Polynomial.fit(x, y, 1)\\n\",\n    \"f2 = P.Polynomial.fit(x, y, 2)\\n\",\n    \"f3 = P.Polynomial.fit(x, y, 3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 61,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAArAAAAF/CAYAAACxEvpKAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAACEVUlEQVR4nO3dd1hURxsF8LP0jggCooiIvYFYPrvG3rB3jT1No1FjEk00lphooilGE02MEHsvWGPX2Dv2GrECCkiVvjvfHyO7LqCiwhY4v+fZR3fu7r0vhshxdu47CiGEABERERGRkTDRdwFERERERK+DAZaIiIiIjAoDLBEREREZFQZYIiIiIjIqDLBEREREZFQYYImIiIjIqDDAEhEREZFRYYAlIiIiIqNipu8CdEWlUiEsLAz29vZQKBT6LoeIiIiIshBCICEhAR4eHjAxefE8a6EJsGFhYfD09NR3GURERET0Cvfv30fJkiVfeLzQBFh7e3sA8g/EwcFBz9UQERERUVbx8fHw9PRU57YXKTQBNnPZgIODAwMsERERkQF71XJP3sRFREREREaFAZaIiIiIjAoDLBEREREZFQZYIiIiIjIqDLBEREREZFQYYImIiIjIqDDAEhEREZFRYYAlIiIiIqPCAEtERERERqXQ7MRFRERUWKhUQEwM8PgxEBkpf33yBEhMlI+nT+UjMRFISwOEkO8RQj4AwMICsLEBrK01v9raAs7OgIuL9sPRETDhlBjpEAMsERGRkUlLA27dAm7fBu7cAe7e1Tzu3ZOhVanUXT0WFoCnJ1C6NODlpXmULQtUqQIUKaK7WqhwYIAlIiIyUGlpwOXLwIULwNWr8nHtGvDff7oNqK+SliZr+u+/nI8XLy6DbOXK8lGzJlC9ugy+RG+CAZaIiMgApKYCISHA2bOax8WLQHp67s+hUADu7jIwuroCxYppfnVxAezt5TIAW1vAzk7+amkpP/5XKDQPQIbS5GQgKUk+kpPlkoPoaCAqSs7yRkXJR1iYnP1NSMi5rvBw+dizRzNmYQHUqAHUqSMf//ufnLHNvD7RyzDAEhER6UFUFHD0qHwcOQKcOiVD7KtYWwMVKgCVKgHlyml/bF+ypAyk+iAEEBurWcpw5w5w/bqcQb58WQbf56WlASdOyEcmDw+gWTPgnXfkr6VL6/ALIKOiECJzuXbBFh8fD0dHR8TFxcHBwUHf5RARUSETFwccOCBnIffulcsBXsbERAZVf3/Az09+BF+pElCqlHHeMPX4MXDlilwOceoUcPIkcOPGy99TujTQsiUQEAA0by5vJqOCLbd5zeAD7J07d1C1alWULVs227G5c+eiUaNGuToPAywREelSRgZw7Biwc6cMrCdPyjv9X8THB2jQQH6c7u8v14ja2uquXn2IiQFOn5azsEeOAIcOye4IObG2Blq0ADp2BDp0kEslqOApUAF20KBBOHDgwFudhwGWiIjellIlcDL0CR4npMDV3gp1vIvC1ESzaDMmRgbWLVuAHTvk85yYmsobmRo2lKG1fn0GMkAuKzh1Cti/H9i3Ty6veNGyigYNgL59gR495BpfKhgYYLNggCUiorfxz6VwTN1yBeFxKeqx4o5WGF67Kp5cdsPGjcDhwy/uDlClivwYvEULoEkTgD+KXi0pSc5eb9kiHxER2V9jagq0aiXDbKdO8kY1Ml65zWu8iYuIiOgV/rkUjo+WnUXmjE9GvBWSrhdHxLXiGBDmlON7HByANm2A9u3lOs7ixXVXb0FhYyPXvwYEyOUXp08DmzcDGzZo1hArlXK2e8cOucygZ0/ggw+AunXZ0aAgM4oZ2LZt26J27dq4dOkSEhISUKlSJYwaNQotWrTI9Xk4A0tERG9CqRJo+P0+PAhX4ulVDzy9UgJpLwitZcvKsNWhg1wewD6n+UMIeTPYihXAypXA/fvZX1O1KvD++0D//oBTzv+5yADlNq8Z/H2MpqamUKlUGDp0KE6dOoWLFy/Cz88PrVq1wl9//fXC96WmpiI+Pl7rQURE9DqSk4EZ8xJxPrAqHvzWAjF7qmYLr+bOCXBscANLt8fixg3gp59kCyiG1/yjUAC+vsD338t2XYcOAR9+KLe0zXTpEjBqlGzNNXgwcP683sqlfGDwM7AvUrt2bdy8eROPHj2CZQ5N76ZMmYKpU6dmG+cMLBERvYwQ8kaiv/4CVq8Gcpr/MHeJh03FcNhUiICFSyIAYE5vP3TyK6Hjaul5SUnA2rXAn3/KG8CyatEC+PRToHVrLi8wVAXmJq4XGTVqFObOnYszZ87A398/2/HU1FSkPnfrYnx8PDw9PRlgiYgoR0+eAMuXAwsXyh2wsjK1S4Ft5YewrfIQFq7Zt5xa+V5d1PNx1kGllBuXLsn/lkuWyA0WnlelCjB2rLzxy8pKL+XRCxSYJQRxcXFITk7ONm5qagoAyMjIyPF9lpaWcHBw0HoQERE9TwjZOaB/f/lR86hR2uHVzg4YMECg0pCzKPnRXji9cy1beFVAdiOo411Ut8XTS1WtCsyZAzx4AMybJ/vsZrp8GRg6VI7NmwekpLz4PGSYDD7AfvLJJ/j555+zjZ85cwbW1taoUqWKHqoiIiJjlpQklwjUqAE0aiRnXp/vN1q3LrBoERAeDixerMBPY4pDYSLD6vMyn08OqKzVD5YMh60tMGKE3NZ2wwbZczdTWBgwciSDrDEy+AALAPPnz8eN5/abmz9/Pg4dOoSJEyfCtqBvU0JERHnm9m1g3DigZEngvfe0b+wpWhT45BM5A3vsGDBkiJyBBYA2VYtjfn9/uDtqf97s7miF+f390aYqe2QZOlNToEsXuePXsWOyZ2ymrEH2RZsnFDppaTL1//67vivJxuDXwF68eBGLFi3Cvn37oFAoEBMTAw8PD4wYMQLvvvturs/DNlpERIWTEPKGntmzgeBg+fx5//ufnKHr0ePV6yFftRMXGZdz54Bp04BNm7THS5cGvv0W6N0bMDGKqb48dvEiEBgILFsGREXJ3SEiImRj3nxW4G/iel0MsEREhUtGBrBxI/Djj8CJE9rHLCxkOPn4Y6B2bf3UR4bjRUG2Vi1g1iygaVN9VKVjMTGyqW5gIHDmTPbjK1YAffrkexkMsFkwwBIRFQ5JSXL96s8/A6Gh2sc8PORs63vvAcWK6ac+MlznzgHjxwO7dmmPd+gA/PADUKmSfurKN0olsG+fDK0bN2ZfO2FpCXTuLNfTNG8u12HkMwbYLBhgiYgKtrg4uVTv55+ByEjtY9Wry/6fvXtzgwF6tV27gM8+k7t9ZTI1letkp06V2wQbtdu3gb//lo+ctjGrWVPu/tCnj1wcrkMMsFkwwBIRFUxRUcAvv8ibb+LitI+1bi2Da4sWbFxPr0epBJYuBb76St7klal4cbkspXdvI/ueSkoC1q+Xs60HDmQ/7uws+8kNGSL/xacnDLBZMMASERUsjx7Jj3UXLJA/mzOZmAA9ewITJuj15zAVEElJMrB+9512m6133gF++83AlxUIARw/DgQFAatWAQlZNuAwMQHatpWhtUMHg/h4ggE2CwZYIqKCITJS3lgzbx7w/D435ubAgAHAF18A5crprz4qmO7ckW3WNm/WjJmZybZsX38NWFvrrbTsIiLk9HFgIHDtWvbj5cvLJQIDBsiF4QaEATYLBlgiIuMWFSVbYc2bBzx9qhm3sgLef18GCU9P/dVHhcPWrXLHtudvEKxQQd442KCB/upCWhqwbZucbd2+Xa6BeJ6dHdCrlwyu9esb7PoHBtgsGGCJiIxTfLz8CPenn4DERM24pSXw4YdyxrU49xEgHUpOBr7/HpgxQ+ZGQObBUaNk/1id7rF06ZIMrUuXZr97EQAaN5ZLBLp10+zMYcAYYLNggCUiMi4pKcD8+TIQREdrxi0s5Izr+PFAiRL6q4/o6lWZDY8f14x5e8ttips1y8cLx8ZqeraePp39eIkSwKBB8lG2bD4WkvcYYLNggCUiMg4ZGcCSJcCUKdodfszMZP/WL7+UW8ESGQKlEpgzR3YreP4mr+HD5VrtPNu8SqUC9u6Vs60bNmTv2WphoenZ2qKFTnq25gcG2CwYYImIDJsQcgnf55/Lma1MCgXQt6/cKalMGf3VR/QyN28Cw4YB//6rGatUSU6U+vq+xYlDQzU9W+/dy37c31+GVj30bM0Puc1rhXGHXyIiMjBnz8qNfgICtMNr+/Zyd6RlyxheybCVKwfs3w/MnavpSHD1KlCnjly/rVK9xsmSkuSa1mbN5Df+tGna4dXZWbZECAmR276OGFEgwuvr4AwsERHpzf378qPXpUu1x+vVkzfJNGqkn7qI3sbVq/JTg5AQzVjLlnIS9YVdq4QATpyQ61pXr5Z3Lz7PxARo00bOtgYEGETP1vzAJQRZMMASERmOxERg5kzZXeD5dYM+PjK4du1qsF1+iHIlNRWYOFG2fsvk7CzXd7dr99wLX9WztVw5GVoNsGdrfmCAzYIBlohI/4QAli+Xra+e357TyUk2gx8+vMBOLFEhtWcPMHCg9vf7V+OVmFprC0wXB+bcs9XWVm4nN3SoQfdszQ+5zWtmOqyJiIgKsVOn5LK9Y8c0Y+bmwMiRcqbKyUl/tRHllxYtgAsXZBYNDpZj3840xTHYYyWOwxXPhdfGjeVGA927G0XPVn3iTVxERJSvIiLkz+Q6dbTDa0AAcPmyXEbA8EoFVmwsnNcuwMaw/2EWxsEUGQCAfWiOGjiHwy6d5ULwmzeBgwdl71aG11fiDCwREeWLjAzg99+BSZO070epWBH45RegdWu9lUaUv1QqYN8+Tc/WlBQoAIzDSfwPJ9ALqxEOD4ShBJrGbMAPRRUY4wMUnoUCb48BloiI8tzRo3I96/nzmjFHR2DqVDlubq6/2goCIQRSMlKQqkxFhioD6cp0pKvS1b+qhAqZt7gICPXvTU1MYaowhamJKcxMzGCqMIW5qTksTS1haWYJS1NLmJoYZwN8g5DZs3XxYuDu3ezH/fzQaEhPnG1uhb4fy7ZbSqUCn34qOxb8+SdgZaXroo0TAywREeWZx4/lFq9BQdrjQ4bIfeNdXfVTl6FQCRWeJD9B5NNIRCdHIzYlFjHJMYhJiVH/mpCagIS0Z49nv09MS0RyejKSM5KRkpGClIyUV1/sDZmZmMHS1BI25jawtbCFnYUdbM1t1b93tHSUDyv5axGrIihiVQTONs5wsXGBs7UznG2cYWVWSJJYUpKcZQ0MlIk0q6JFgf795ToaPz8AgDuAXbuAyZOB776TL1u6FLh+Hdi0CSheXFfFGy92ISAioremUsn937/4Qm7TnsnPTy4jqFdPX5XpRlxKHB7EP0BYQhjCE8MRnhAuf00Mx6PER4hMilSHVpV4nY72xsvW3Bautq5ws3ODu5073Gzd4GYrf+9h74GSDiVRwqEEXG1dYaIwsltyhABOnpShddWqnHu2tm6t6dlqafnCU61fLztkJSXJ5x4e8mavWrXysX4DxjZaWTDAEhHlj0uXgA8+kMsGMjk6AtOnAx9+CJgZ+Wd9KqFCeEI4QmNDERoTitDYUNyLu4f78fdxP+4+HsQ/QEJaQr5d39LUEnYWdrA2t4a1mbX6VyszK1iaWcLcxBzmpuZav2YGQgUUUCgUUEABAQGVUCFDlQGlUEKpUkIplEhXpiNVmSqXJGSkqn+flJ6Ep2lP8TT9KZLSk/Lt6zMzMVMHWi9HL3g5eqF0kdLwKvLsV0cvWJtb59v1X8ujR3KqNCgIuHIl+/Fy5eRM64ABQIkSuT5tSAjQqZNmsy0rK5mN+/TJm7KNCQNsFgywRER5KylJhtRZs+QNW5nefVeOubnpr7bXpVQpcTfuLm5G38TNJzfVv/4X8x/uxt5FqjL1rc5vY26DYjbFUMy2mPpXZ2tnOFk5wcnaSf1rEasicLB0gL2FPewt7WFvYQ9zU/0vGFYJFZLSk5CYloi4lDjEpcYhLiUOsSmxiEuNw5PkJ4hOikZ0snxEJUUhKikKj58+xpPkJ299/ZIOJeHj5IOyRcuqfy3vXB7lnMvBxtwmD77Cl0hPl71ag4KAbdu0v9kBTc/WIUOABg3euGfr48dyA48jRzRjEyfKXWQLURtYBtisGGCJiPLOrl3ARx8Bt29rxsqVAxYskNu3G6rk9GRcj76Oq5FXcTXq2SPyKm4+uYk0Zdprn8/KzAqeDp7wdPSUH4nbl0Bxu+Iobl9c/au7nXv+hywDlqZMQ+TTSDx6+ggRiRGISIzAw/iHeJjwEA/iH6h/jUqKeqPzezl6oaJLRVRwroCKLhVRxbUKqhSrAmcb57cr/PJlGVqXLpXpMqtGjeRsa48eedb2KjVV3uQYGKgZe/dduTynsGzwwQCbBQMsEdHbi44GxoyRP9MzWVjIG7cmTDCcO6iVKiVux9zGxccXcfHRRfnr44u49eTWa61BtTG3gXcRb3g7ectfn/3ey9ELno6ecLZ2hqIwTY/lo+T0ZNyLu4c7sXdwN+4u7sbexZ24O7gdcxu3ntx67YDrbueOKsVkmK3mVg2+br6o6lr15csRYmPlmtagILnGNSsPD9mnddAg+S+2fCAEMGcOMHas/D0ANG8u18o6OubLJQ0KA2wWDLBERG9OCGDNGrlrVmSkZrxJEznrWrGi/mpLzUjF5cjLOBd+Duci5ON8xHk8TX+aq/ebm5ijvHN5+ZF00XIo51xO/Wtxu+IMqAYiLiUO/8X8h/+e/IdbT27hevR1XIu6hmtR1xCXGperc5goTFDRpSJ83Xzh5+4H/+L+8HfzQ9Hj52VoXb8eSMnS4cHCQi5QHTwYaNUKMNVNm7GNG4G+fTXlVKsmVzKULKmTy+sNA2wWDLBERG/mwQP5seaWLZoxR0e5g9aQIbpdn6dUKXEl8gpOhZ3CqYencDLsJC4+uoh0Vfor32tlZoXKxSqjSrEqqORSCZWLVUalYpVQxqkMzEyM/E6zQkwIgcdPH+Na1DVcibyCy5GXcTnyMi4+uojo5OhcnaPME6BmOFArTPNwqOQnv8H79gWc33I5whs6ehTo2FF+8gHI+8J27JBhtqBigM2CAZaI6PUIIdfejRun3SWoa1dg3jzd9Kp8lPgIxx4cw7H7x3D84XGcCTuTq5nV0kVKw8/dD9Vcq6G6W3VUc62GskXLskl/IZIZbC89voSLjy8iJCIE58PP4fLjy0iH8qXvVUCBysUqo27Juqhbsi7+V+J/qFyssl6+f27cANq21aw3d3CQbbaaNtV5KTrBAJsFAywRUe7dvQsMGwbs2aMZc3eXwbVbt/y5pkqocPnxZRy6dwhH7x/FsQfHcDvm9kvfo4ACFV0qwr+4P2q410CN4jXg5+6HotZF86dIMj5CAKdOqXu2piXG4ZoLEOIOnCkOnC4BnPMwQbLpy9dG21vYo55nPTT0bIiGpRqiTok6sLWw1cmX8Pgx0KGD/DIA2VZ23To5VtAwwGbBAEtE9GpCyO0sx40DEhM144MHyyUDTk55d610ZTrOhJ/BobuHcOjeIRy+dxgxKTEvfY+Xoxdql6iNOh51ULtEbfgX94eDJf9Opxw8egQsWyaDa049W8uWVfdszfBwx7WoazgddhonH57EiYcncD7iPJTixTO1pgpT+Bf3R6NSjdC0dFM08mqEIlZF8u3LefpUduvavl0+NzMDliwpeL1iGWCzYIAlInq5O3fkrOvevZqxkiXlMoLWrd/+/EqVEmfDz2L/nf3YF7oPh+8dfulyACszK9T2qI16Jeuhnmc91C1ZF+527m9fCBVc6elykWhg4Mt7tg4eDDRs+NIF3EnpSTgbfhbHHxzH8QfHcfT+UYQnhr/w9Qoo4Ofuh6alm6Jp6aZo7NU4zwNterrcI2HVqmfXVADz58uNRAoKBtgsGGCJiHKWudZ17FjtWddhw4DZs9+8dY8QAteirmH37d3Yc3sPDt49iPjU+Be+3sXGBY1KNUKjUo3QsFRD+Lr7wsK0kDS/pLdz5YqmZ+ujR9mPN2ggb8jq0QOwt3+jSwghEBobiiP3juDwvcM4fP8wrkTmMLP7jInCBLU9aqNFmRZo7t0c9T3rw9LsxVvK5pZSCYwYAfzxh2bs+++Bzz9/61MbBAbYLBhgiYiyCwuTQXXHDs2YpyewcOGbzbpGPo3Entt7sPv2buy+vRsP4h+88LXF7YrjHe930MSrCRqVaoSKLhXZsopyLy5O07P1xInsxz08gIEDZc/W8uXzpYTopGgcuncIB+4cwMG7B3E+4jwEco5V1mbWaOTVCK19WqNN2Tao5FLpjb/fhZC9l3/4QTM2YQLw7bfGv2sXA2wWDLBERNpWr5a7acU8t+x06FC51jW3s65KlRKnw05j+83t2HFrB06HnX7hD/BiNsXQtHRTNPNuhndKv4PyzuUZWOn1qFTAgQNyiUBOPVvNzWXP1iFDgJYt5UJRHXqS/ASH7h7CvtB92Bu6F5cjL7/wtZ4OnmhTtg1a+7RGizIt4Gj1eh91CAHMnAl8+aVm7NNP5TbOxvy/FQNsFgywRERSdLT8CHL1as2Yu7tcRtC+/avfH5Mcgx23dmD7ze3459Y/L+y1aWVmhcZejdGyTEu0LNMS1dyqwURhkkdfBRUqd+8Cf/8tH3fuZD/u66vp2eriouPiXiw8IRz7QvdhT+ge7Lm954WfSJiZmKFRqUboUL4DOpTvgPLOuZ8x/u034OOPNc+NPcQywGbBAEtEBOzaJT9RDX/uXpSePYHff395r/ab0Tex5cYWbLmxBYfuHnrh3dnV3aqjjU8btPJphQalGsDKzED2liXjk5wst6MKCpJ3FmaNK05OQL9+MrjWqKGfGl9D5prwf279g3/++wcH7xxEqjI1x9eWLVoWHcp1QMcKHdHIq9ErN9r46y/gvfc0z8eOlevXjTHEMsBmwQBLRIVZcrJcM/frr5oxJycZXHv3zv56IQROhZ3Cxqsbsen6JlyLupbjee0t7NHSpyXalm2LNmXboKRDAd/nkvKXEMDp03KJwMqVcp3r8xQKuZ3rkCFyiyor4/0HUlJ6Ev69+y923NyBrTe3vrDncVHrouhQvgM6V+iMVj6tXth7tqCEWAbYLBhgiaiwCgmRE1XPt8Js3VpmBA8PzViGKgOH7h7CxmsbsfHaxhd+3Onj5IOOFToioHwAGpRqwE4B9PYeP9b0bL2cw7pRHx91z1Z4euq+vnwmhMD16OvYdmMbtt7c+sJPOazMrNDKpxW6VeqGgPIBcLLWbsy8aJG8KTOTMYZYBtgsGGCJqLBRKoGffgK++kr2jwTkhNWsWXINrEIhQ+v+0P1Ye2UtNl7biKikqGznUUCB+p711aGV3QIoT2RkaHq2bt2avWerjY2mZ2ujRsaVwt5SbEosdtzcgeDrwdh+czsS0hKyvcbcxBzNyzRH90rd0aliJ7jYyLW/ixbJmdjMdGdsIZYBNgsGWCIqTB48kJNV+/drxvz8gOXLgfIVXx1azU3M0aJMC3St1BUdK3SEq62r7oqngu3qVbmudcmSfOvZWpCkZqRi/539CL4WjODrwTlupmCqMMU73u+gd5Xe6FqpKzaudMKwYZoQ+/XXwNSpOi78DTHAZsEAS0SFxcaN8mPEJ0/kc4UC+OwzgbbvHcPa68ux9spaRCZFZnufjbkN2pVrh64Vu6JduXav3daH6IXi4mTbi6Ag4Pjx7MeLF5f/4ho8GKhQQff1GQmVUOH4g+NYf2U91l1dh3tx97K9xtzEHK3Ltob79a/w19S66vFZs+QW0YaOATYLBlgiKuiSkuTHhc/v0OPmkYZmY4NwxPS7HH/Y2ZjboH259uhZpSfalm37whtEiF6bSgUcPKjp2ZqcrH3c3FzeiDVkiLwxS8c9W42dEAKnw05j3ZV1WHtlLUJjQ7O9xuzUWGRs+1H9/I8/gPff12WVr48BNgsGWCIqyM6fB/r0kZ/OZnKosQvxrXoB1rFar7Uys0KH8h3Qs3JPtCvXjqGV8tbdu8DixbJna2j2UIXq1eVMa//+BtWz1ZhlhtlVl1Zh9eXVeJjwUHPw3y+Bfd/K3ytUmPLrLXw9opzBrmNngM2CAZaICiIhgHnzgHHjBNLSnv1AMn8KtPkE8F8EPBsyVZiipU9L9K3aF50qdoKDJf8epDyUnAxs2iSXCOzZk71na5Ei2j1bDTQ8FQQqocKRe0ew6tIqrLmyBlFPo4A9M4EjX8gXKDLgNnQ4PupXAgN8B8DbyVu/BWfBAJsFAywRFTRRUQKd+zzBkT3P7UDgfg7o1gcodh0AUN+zPvpV64celXugmG0xPVVKBZIQwJkzMrSuWAHExmofVyiAFi3k/sSdOhl1z1Zjla5Mx+7bu7H0/DKsnfUOlCefNYo1TQH6tQPK7EfT0k0xyHcQulXuBjsLO/0WDAbYbBhgiaigeBD/ANOW7EfQpBbIiC2uOVD3J6DFBHi7yJmV/tX7o2zRsvorlAqmyEhNz9ZLl7IfL1NG07O1VCnd10c5iktOQLsej3F0m48csIgHBjcGip8HANia26J75e4Y5j8MDTwb6G2JAQNsFgywRGTM0pXp2HpjK/48vQg7/64BsX8KIEzlQesoWPf8CP27OWGg70DU96xvsOvbyEhl9mwNCgK2bMm5Z2uPHpqerSYm+qmTXiojA+jWDdi8WT43dXgM5eA6gNNdrddVcK6AYf7DMMB3gM5b6DHAZsEAS0TG6HbMbfx19i8EhQQhIlwAG5YDoc3Vx4tUPI9pv/6HoU3bwMbcRo+VUoF07ZqmZ2tERPbj9evLda09e7Jnq5FISpIrO44dk89L+STjnWkTseneIsSlam/da2Zihk4VOmGY/zC0LNMSpiam+V4fA2wWDLBEZCzSlekIvh6MP878gT2398jB282A9cuBp+4AAIWJCp98HofZ051gmv8/U6gwiY8H1qyRSwQyU87z3N01PVsrVtR9ffTWoqPlfhHX5VJ51KsHbNmRjB131+Ovs3/h4N2D2d6zvOty9K3WN99rY4DNggGWiAzdg/gHWHhmIRaeXajZbUdlAvw7ETg4GRDyY1kPD4EVKxRo0kSPxVLBolIB//4rZ1vXrZPTdM8zM5M9WwcPBtq0Yc/WAuDOHRlcMyfWO3aU7XrNzIAb0TcQeC4Qf4f8jUdPH8HB0gHhn4br5FMeBtgsGGCJyBAJIbAvdB9+P/07gq8FQymUmoOJrrDevAHJNxqoh1q1ApYuBVy5syvlhXv3ND1bb9/OfrxaNblEoF8/oBi7WBQ0ISFA48ZAQoJ8/v77wIIFmi5n6cp0bLu5DRGJEfiw1oc6qYkBNgsGWCIyJIlpiVhyfgnmnpyLa1HXtI6ZKkxRL2MCriyYiCeRlgDkPTHffAOMH8/7Y+gtpaTInq2BgS/u2dq3r5xtrVmTPVsLuL17gbZtgfR0+XzGDPn3jL7kNq8Z3V+DCxYsgEKhwJQpU/RdChHRa7v15BbG/DMGJX4qgRHbR2iFV3c7d0xqOBnjlNE4+u036vBavDiwbx/w5ZcMr/SGhABOnwZGjJDfUH36ALt3a8KrQgG0bAmsXAmEhwO//QbUqsXwWgg0by4n4DNNmABs2KC3cnLNqBaxxMTEYNKkSfoug4jotQghsP/Ofvx8/Gdsu7ENAtozXo29GuPj2h+jsWtnDB1sjm3bNMdatpQtN7lkgN5IZCSwfLmcbb14Mftxb29g0CD5YM/WQqtvX7nr78SJ8nn//nJJdK1a+q3rZYwqwE6aNAkNGjRAcHCwvkshInql1IxUrLq0Cj8f/xnnH53XOmZlZoV+1fphZJ2R8HX3xenTwP9qy23kATnxNWUK8NVXYJcBej0ZGcA//8gbsjZvzt6z1dpaNgMdMgRo0oTT+gRAfsJz/bpcY5+cLG/qOnZcICz9CR4npMDV3gp1vIvC1MQwZuWNJsBevHgR69evx44dOxhgicigRSdFY8HpBZh3ah4iErV7Z3o6eGJE7REY5j8MzjbOEAKYPx8YPRpIS5OvcXGRO3O2bKn72smIXb8uQ+vixTn3bK1XT65r7dkTcHTUfX1k0BQKYOFCORN7+LBcSVK5biKce5+CiYW8ubS4oxUmB1RGm6rFX3G2/Gc0AXbkyJGYNm0aihQpou9SiIhyFBoTip+O/YRF5xYhOSNZ61idEnUwtu5YdKvcDWYm8q/ep0+BDz6Qn/BmqlcPWL0a8PTUZeVktDJ7tgYFAUePZj+e2bN10CCgUiWdl0fGxdIS2LgRqFYjAxEPzJAUbg+xpQaKdTkNhQkQEZeCj5adxfz+/noPsUYRYFevXo2EhAQMHToU9+7d03c5RERazoafxayjs7Dm8hqohEo9bqIwQZeKXTC23ljUK1lPa3vXmzeBrl21t5IfPRr4/nvAwkKHxZPxEULTs3Xt2px7tgYEyNnWtm3Zs5Vei1NRAbfup/Bofi2IVHMk33JD7IFKcGp2FQKAAsDULVfQsrK7XpcTGPx3dVJSEj7//HOsWLECJq+xTic1NRWpqanq5/Hx8flRHhEVUkII7A3di++PfK/ZLesZG3MbDKsxDKPrjoa3k3e29wYHy0mxzL+W7OzkPTY9euiicjJa9+9rerb+91/241Wranq28q4/ekMnQ58g1vIJinU+g8dr6gDCBPGnysC8WDzsqj2EABAel4KToU9Qz8dZb3UafICdMWMGGjZsiAYNGrz6xVneN3Xq1HyqiogKK5VQIfhaMGYcnoFTYae0jhWzKYZR/xuFj2p9BGeb7H+xZ2QAkyYBM2dqxipVki1ruCMn5SglRf6LJzBQu+1VJkdHeQv5kCHs2Up54nFCCgDAunQ0ira6jCc7q8HCPRZWpaNyfJ2+GHSADQ0Nxfz583H+/PlXvziLCRMmYOzYsern8fHx8OSiMiJ6Q+nKdKy6tAozj8zElcgrWsfKFi2LT+t9ioG+A2Ftbp3j+yMjZevNvXs1Yz16AIsWAfb2+Vk5GR0hgHPnZGhdsQKIidE+rlAALVrIJQKdO8uuAkR5xNXeSv17e797UJgpYVMhHCbmqhe+Th8MOsDu2bMHtra2aN++vXos7dltugsWLMCmTZtQtmxZrFu3Ltt7LS0tYWlpqbNaiahgSs1IxeLzizHj8Azcib2jdczXzRdfNvoS3Sp1g6nJi3tdnTkj17tmLuE3NQVmzZJrXjlhRmpRUfKOvqAgIKeJm8yerQMHAl5eOi+PCoc63kVR3NEKEXEpEADsqj7UOq4A4O4oW2rpk9FtJXvnzh14e3tj8uTJr7UbF7eSJaLXkZKRgkVnF2HmkZl4EP9A61gDzwb4qtFXaFO2jdaNWTn5+2/gww+BzCX5bm7yvptGjfKpcDIuGRnArl1ytnXzZs1+npmsrYHu3eVsK3u2ko78cykcHy07CwBa265k/m2Xn10IcpvXDHoGlohI15LSk7DwzEJ8f+R7hCeGax1r7dMaXzX6Co28Xp0+09LkDOv8+ZqxevWAdesAD488LpqMz40bmp6t4eHZj9etK9e1smcr6UGbqsUxv78/pm65gvA4zVpXdwPqA2s0M7CxsbFo2rQp0tLScPXqVbi5ucHd3R1jx47FgAEDXvl+zsAS0cskpyfjzzN/YsbhGXj09JHWsYDyAZjUeBJql6idq3OFhcn1rc+35fzoI+CXX9giq1BLSJDT74GBwJEj2Y+7uWl6tlaurPPyiLJSqgROhup2J64CNwNbpEgRhISE6LsMIipgUjNSsfDsQsw4PANhCWFax7pU7IJJjSehRvEauT7fsWNyl87MSTVLSzkLO3hwXlZNRkMI4NAhGVpf1LO1fXtg6FCgTRvA3Fw/dRLlwNREoddWWS9jNAGWiCgvpSnTEHguEN8e+jbbGtfulbvj68Zfo5pbtdc658KFwIgRmmWMnp6yRVatWnlVNRmNBw/k8oCgoJx7tlapIpcI9O/Pnq1Eb4ABlogKFaVKiWUXlmHKwSnZugp0qdgFU5pOQXW36q91zrQ0YNQo4I8/NGNNm8odPosVe/uayUhk9mwNCpI3Zr2oZ+vgwfJfNWxBQfTGGGCJqFAQQmDD1Q2YtH8SrkZd1ToWUD4AU5pOgX9x/9c+b3i4vEn8+fWun3wi22Tx0+BCIrNn6/Ll2Xu2ApqerV26sGcrUR5hgCWiAk0IgZ3/7cTEfRNxJvyM1rHWPq3xzTvf5PrmrKxOnJD9XcOeLZ21tAT+/FPeh0MFXHS0DKyBgTn3bC1dWtOztXRpHRdHVPAxwBJRgXXy4Ul8secLHLhzQGu8gWcDfNf8OzT2avzG5168GHj/fbl8AABKlgQ2buR61wJNqdTu2Zr5Hz+TlZX8F83QoXINCXu2EuUbBlgiKnBuRN/AV/u+wror2rv0+bn74btm3+VqA4IXycgAPvtMtsTK1LixvMGc9+IUUDduyB0pFi/WTLc/73//k0sEevUCihTRdXVEhRIDLBEVGOEJ4Zh2cBoWnl0IpVCqx8sWLYtvm32L7pW7w0Tx5rNiT57IjLJnj2bso4+AOXO43rXAyezZGhQEHD6c/birq1wrMngwe7YS6QEDLBEZvcS0RMw+Ohuzjs5CUrqmz6abrRsmN5mMYf7DYG76dgnz8mWgY0fg9m353MwMmDcP+OCDtzotGRIhZFjN7Nn69Kn28cyerYMHA+3a8V8tRHrEAEtERkupUiIoJAiT9k9CRGKEetzewh6fN/gco+uOhp2F3VtfZ/NmoF8/IDFRPi9WDFi/Hmj06h1lyRg8eAAsWSJnW2/dyn68cmVNz1Y3N93XR0TZMMASkdHJ7Czw2e7PcOnxJfW4mYkZPqr1ESY1noRitm/fgFUIYMYMYOJETUvPGjWATZuAUqXe+vSkT6mp8l8mQUHAzp2ASqV93MFB07O1dm32bCUyMAywRGRULj++jLG7xmLXf7u0xrtW6oqZzWeinHO5PLlOcrK8mXzlSs1Yz54y79jY5MklSB/OnZP/EZcvl4uas2reXM62smcrkUFjgCUioxCVFIXJ+ydjwZkFUAnNbFmdEnXwY6sf0bBUwzy71sOHQKdOwJnn2sZOnw58+SUn4oxSZs/WoCAgJCT7cS8vOdPKnq1ERoMBlogMWpoyDb+d/A1TD05FXGqcetzL0QszW8xEryq93rglVk5OnAA6dwYini2ptbUFli2TY2REctOztVs3OdvKnq1ERocBlogM1rYb2zBm5xjcfHJTPWZnYYcvG36JMfXGwMrMKk+vt2KFzDOpqfK5l5fMPtWr5+llKD/dvClnWpcskVPpWdWpI/8js2crkVFjgCUig3Mj+gZG/zMaO27tUI8poMBgv8GY3mw6itsXz9PrqVTApEnAd99pxho3Btatkx0HyMAlJmp6th46lP24qyvw7rtymUCVKrqvj4jyHAMsERmM+NR4TP93On45/gvSVenq8UalGuGXNr/Av7h/nl8zMVH2o9+4UTM2bBjw22+AhUWeX47yihDAkSNyicCaNdl7tpqayp6tQ4awZytRAcQAS0R6J4TAsgvL8Pmez7X6uZZ0KInZLWejZ5WeebrONdO9e3JzgvPn5XMTE+Dnn4GRI3mzlsF6+FDTs/XmzezHK1eWM639+wPu7rqvj4h0ggGWiPTqwqMLGLF9BA7f02zXaWlqic/qf4bxDcfD1sI2X657/Li8MevRI/nc0RFYvRpo3TpfLkdvIzc9W/v0kcG1Th3+64OoEGCAJSK9iEuJw+QDkzHv5DwohVI93rliZ/zY6keUcSqTb9devlz2eM28WatsWWDLFqBixXy7JL2JkBAZWpcty7lna7Nmmp6tbM5LVKgwwBKRTgkhsPzicozbNQ6Pnj5Sj5crWg5z285F67L5NwWqUgGTJ8uerpneeUferFW0aL5dll7HkyeyHURgoNx0IKtSpTQ9W729dV8fERkEBlgi0pkrkVcwfNtwHLx7UD1mbWaNiY0n4tN6n8LSzDLfrp2UJDPPunWasfffB+bN4/09eqdUArt3y9nWTZty7tnatasMrs2asWcrETHAElH+S0pPwvR/p2PW0VnIUGWox7tU7IKfW/8MryJe+Xr9sDC5s9bp0/K5iQnw44/AJ59wuaRe3boF/P03sHgx8OBB9uO1a8slAr17s2crEWlhgCWifLX95nZ8vP1jhMaGqsd8nHwwt+1ctC3XNt+vf/as7DSQ2dPe3h5YtUp2ViI9SEyU0+BBQcC//2Y/XqyY7CAwZAhQtaru6yMio8AAS0T5IiwhDJ/88wnWXdF8Zm9uYo7xDcdjQsMJsDa3zvcaNm0C+vWTywcAubPW1q3MRTonBHD0qAytq1fLEPs8U1P5L4rMnq1swEtEr8AAS0R5SiVUWHB6ASbsnYD41Hj1+Dul38Hv7X9HRZf8v9VfCGDWLGD8ePl7AKhXTwZaV9d8vzxlCgvT9Gy9cSP78YoVZWh99132bCWi18IAS0R55vLjy3hvy3s49uCYeqyYTTH81Pon9KvWL182I8gqLQ346CN5E3umfv2Av/6S9wJRPktNlT3JgoKAf/7J3rPV3l7Ts/V//+MiZCJ6IwywRPTWUjJS8O2/3+L7I99rbQE7tMZQ/NDyBxS11k2PqidPgG7dgAMHNGPTpgETJzIn5bvz5zU9W6Ojsx9v2lTOtnbrxp6tRPTWGGCJ6K38e/dfvLflPdyI1nxEXN65PP7o8Aealm6qszpu3gTat9fsLmppKW9w791bZyUUPk+eACtXyunus2ezH/f0BAYNko8y+bcxBREVPgywRPRG4lPjMX7PeMw/PV89lnmT1peNvoSVme4+rz94ULYJzdysydUVCA4G6tbVWQmFh1IJ7NkjZ1s3bszes9XSUu6MNWSI7NlqaqqfOomoQGOAJaLXtv3mdnyw9QM8iNf07qxXsh4WBixEFdcqOq1l8WLgvfeA9GcrF6pWlUswS5fWaRkF33//ydD6op6ttWrJda19+gBOTrqvj4gKFQZYIsq1qKQojP5nNJZfXK4eszW3xYzmMzC89nCYmuhutk2lAr7+Gvj2W81YmzayS5ODg87KKNiePtX0bD14MPtxFxfZQWDwYKBaNd3XR0SFFgMsEeXKuivrMHzbcEQmRarHWpZpiT8D/kTpIqV1WktyslxWuWaNZmz4cGDOHMCMf6u9HSGAY8fkutYX9Wxt21YuEWjfnj1biUgv+Fc9Eb1U5NNIjNg+AmuvrFWPOVk54efWP2OA7wCdtMZ63uPHclvY48flcxMT4OefgZEj2WngrYSFAUuXytnW69ezH69QQc60DhgAFC+u+/qIiJ7DAEtEL7T28loM3z4cUUlR6rHOFTtjfvv5cLfTfeP5K1fkpN+dO/K5ra3cFrZDB52XUjCkpWl6tu7YkXPP1l695Gxr3br8FwIRGQwGWCLK5vHTxxixfYTWNrDO1s6Y124eelXppfNZV0De+N69OxAXJ5+XKCG3hfXz03kpxu/CBblEYPlyICoq+/EmTeRsa/fu8l8JREQGhgGWiLRsuLoBH279UGuta9dKXfF7u9/hZueml5r++kvurpWRIZ/XqCEnDkuU0Es5xim3PVsHDgR8fHReHhHR62CAJSIAQExyDEb9MwrLLixTjzlbO+O3dr+hZ5Weepl1VamAr74CZs7UjAUEACtWAHZ2Oi/H+CiVwN69MrRu2iS3eX0ee7YSkZFigCUi/HPrHwzdPBRhCWHqsc4VO2NB+wV6m3VNTpaTgWs1945h9Ghg9mzmrFf67z+5DdnixcD9+9mP16wplwj07cuerURklBhgiQqxxLREfLrzU/x59k/1mKOlI+a2nYv+1fvrZdYVyLnTwNy5slUWvcDTp8D69fKGrAMHsh93cQH695fBtXp1nZdHRJSXGGCJCqmj94/i3Y3v4nbMbfVYK59WWNRxEUo6lNRbXVevyk4DoaHyuZ2dbEfarp3eSjJcQsiUn9mzNSFB+7iJiaZna4cO7NlKRAUGAyxRIZOmTMO0g9Mw4/AMqIRsm2RrbosfW/2I92u+r7dZVwDYvx/o2hWIjZXPS5QAtm0DfH31VpJhCg+XPVsDA1/es/XddwEPD93XR0SUzxhgiQqRq5FX0X9jf5wN19yFXq9kPSztshQ+RfV75/nixcCwYZpOA35+sk0WOw08k5Ym/0Aye7YqldrH7eyA3r1lcK1Xjz1biahAY4AlKgSEEJh3ch4+3/M5UjJSAABmJmaY0mQKvmj4BcxM9PdXgRDA118D06drxtq3lxsUsNMAgIsX5UzrsmXs2UpE9AwDLFEBF5EYgcHBg/HPrX/UYxVdKmJZl2Wo6VFTj5XJrk5Dhsi2WJlGjAB++QUwK8x/O8XEyJ6tQUHA6dPZj5csKVs0DB7Mnq1EVCgV5h8RRAXe1htbMSR4iNamBKPqjMLMFjNhbW6tx8qA6GjZgvTQIflcoQB++gn45JNC+um3SiV7tgYFARs25NyztXNnmfibN2cvMSIq1BhgiQqg5PRkfLb7M/x26jf1mLudO/7u9Ddal22tx8qkW7dkV4GbN+Vza2s5C9u5s17L0o/btzU9W+/dy37c31+G1j59gKJFdV4eEZEhYoAlKmDOR5xHn/V9cDXqqnosoHwAFnVchGK2xfRYmXT0KNCxo5yBBQA3N3lvUq1a+q1Lp5KSND1b9+/PftzZWdOzlS0YiIiyYYAlKiAyb9Qat3sc0pRpAABrM2v81PonfFDzA722x8q0Zg0wYIDm0/EqVWSbLC8v/dalE0IAJ07IG7JWrXpxz9bBg+V+uezZSkT0QgywRAVAVFIUhgQPwZYbW9Rjfu5+WNF1BSoVq6THyiQhgB9+AMaP14w1bw6sWwcUKaK3snQjIkLTs/XatezHy5eXSwTYs5WIKNcYYImM3P7Q/ei/sT/CEsLUY2PrjsV3zb+DpZmlHiuT0tNlZ4GFCzVjQ4YACxYA5ub6qytfpaXJqeWgIGD79px7tvbqJWdb69cvpHetERG9OQZYIiOVrkzH1INT8d2h7yAgAADFbIrh785/o105w9h3NT4e6NkT2LlTMzZ9OvDllwU0s128KEPr0qU592xt3Fim927d2OSWiOgtMMASGaH7cffRe31vHL1/VD3WokwLLOm8BMXti+uxMo379+WGBBcvyucWFjLb9e2r37ryXGys7NkaGPjynq2DBgFly+q6OiKiAokBlsjIbLm+BYOCB+FJ8hMAcketb5t9i3H1x8FEYaLn6qSQEBlew56tanByAjZtkhOQBYJKBezbJ0NrTj1bLSw0PVtbtGDPViKiPGbwAfbevXtYsGABdu/eDZVKheTkZJibm2Po0KEYOXKkQdxZTaQLaco0TNgzAT8d/0k95uXohdXdV+N/Jf+nt7qUKoGToU/wOCEFrvZWiLpaFH37KJCYKI+XKSOXgVaooLcS805oqOzZ+vffOfdsrVFDhta+fdmzlYgoH71xgN22bRuCg4NRoUIFdO3aFd7e3nlZl9q+ffswd+5c7N27F3Xq1AEABAcHo2vXrkhISMBXX32VL9clMiShMaHovb43Tj48qR7rUrELFnVcBCdrJ73V9c+lcEzdcgXhcSkAgIRzpfBkd1E8W5KLunWBzZuBYvpvP/vmctOztV8/eUOWn5/OyyMiKowUQgjxJm8sUqQIEhMT8c033yAlJQXh4eHo168fmjRpkqcF/vPPPzhx4gQmT56sNe7r6wtTU1OcPXs2V+eJj4+Ho6Mj4uLi4ODgkKc1EuWnTdc2YdCmQYhLjQMAWJha4MdWP2JE7RF6/QTin0vh+GjZWQjINlmxByoi/qSP+njDlsnYFWwNa/3uWPtmMnu2BgXJnq3x8drHTUyA1q3lbGtAgNzmlYiI3lpu89obz8BOnDgRHh4e6PvsjgwhBFauXIkhQ4bgk08+gW8e7R7Tpk0btGnTJtt4QkICypUrlyfXIDJE6cp0jN8zXmvJgI+TD1Z3X42aHjX1WJlcNjB1yxUIAKp0E0Rv80XSdU0PU4c6/yG9yR1YWDYDYETLfDJ7tgYFAVevZj9erpymZ2uJErqvj4iIALzFDOyLpKamYvbs2YiMjMTkyZPh5JS3H28mJCTgu+++Q2BgIHbs2AF/f/8X1pH63I0V8fHx8PT05AwsGYX7cffRa10vHHtwTD3WvXJ3LOq4CA6W+v/+PfZfNPosPA5lkgUi19dCatiz/88VAkVbXoJ9Dbk+dOV7dVHPx1mPleZCerrs2RoYmHPPVltbTc/WBg0KaP8vIiLDkNsZ2Dy/ZTkqKgq+vr6IiYlBpUqVsHbt2jw7d+XKleHk5IQtW7Zgw4YNLwyvADBjxgw4OjqqH56ennlWB1F+2nFzB2r8UUMdXs1NzDG37Vys6b7GIMIrADxOSEH6E1tELK2vDq8K8wy4djulDq+ZrzNYly4Bn34qZ1K7dAG2bNEOr40ayZnYiAhg0SKgYUOGVyIiA/HWM7Dx8fHYvn07tm7din///RcPHz4EIJcUKBQKFCtWDK1atcL8+fNha2v71gWnpaVh2bJl+OijjzB9+nR89tlnOb6OM7BkbJQqJSYfmIxvD32rHvNy9MLaHmtRu0RtPVaW3fxVcfh4sDVUKRYAAFO7FLh2PwULN+21ogY3AxsbK9e0BgYCp05lP16iBDBggJxt5RIlIiKdy/c1sDt37sTvv/+OnTt3Ij09HUIIWFpaokmTJmjcuDEaN26MOnXqwM7ODrdu3cLIkSMxceJElClT5k0vCQCwsLDAkCFDcOzYMUyYMAFdu3aFj49PttdZWlrCkjdWkJGIfBqJvhv6Ys/tPeqxDuU7YHHnxShqbVjtmFasAEYPdoAqTc5GmheLh2v3UzBz0My2KgC4O1qhjrcB1K5Sye4BQUGym0BKlllhCwugUye5trVlS/ZsJSIyAm8cYHv16oX4+Hi4urqiR48eCAgIQOPGjWFlZZXttWXLlsUff/yBL7/8Ev3793+tG7ySk5NhYWEB0yw/VPz8/KBUKnH27NkcAyyRsTjx4AS6r+2OB/EPAACmClN81/w7g9qYAJA35s+YAcjOdTK8Wnk/hmunc1BYZqhfl/kh++SAyjA10eNH7nfuaHq23r2b/bifn6Znq7MBzRITEdErvXGArVixIpo3b47JkyfDwsLila83NzfHrFmzMGzYMEycOBGlS5fO1XXatm2LDz74AH369NEav/vsB5KLi8tr105kCIQQmH96Pkb/MxrpqnQAgJutG1Z3X40mpfO2Hd3bSk8HPvxQfvKe6b33gI4fKfHtP2YIj9MEWHdHK0wOqIw2VfWwpW1ystwZKzBQ7pSVVdGimp6tNWrovj4iIsoTbxxg//e//+Hbb7999QuzcHBwwAcffICdO3fm+j0zZsxA/fr14eXlBQA4ePAgfv/9d9SpUweNC8zelFSYPE17ig+3fYhlF5apxxqWaojV3VfDw97jJe/Uvbg4oHt3YI9mdQNmzAC++AJQKIqjra+71k5cdbyL6nbmVQi5njUwUK5vjYvTPp7Zs3XwYKBjR/ZsJSIqAN74Jq69e/eiefPmr/WetLQ02NrawsbGBnFZf8i8wNGjRxEUFIRjx47BxMQET58+hYWFBTp37owJEybk+oYsbmRAhuK/J/+h65quuPDognpsbN2xmNliJsxNzfVYWXZ37wLt2wOXL8vnlpbA4sWyq5TePXoELFsmg+uVK9mPly0rlwgMGMCerURERiLfb+J63fAKyBuwfv75Z7i6uub6PfXr10f9+vVf+1pEhmjHzR3ou6EvYlNiAQB2FnYI7BiIHlV66LewHJw5A3ToILtIAXKZaHCwbIWqN+npwI4dMrRu2wZkZGgft7UFevQAhg5lz1YiogLsjQPsm/r44491fUkivVMJFb7991tMPjAZAvJDjwrOFbCx10ZUKlZJz9Vlt2UL0Ls3kJQkn5crJ3v8ly2rp4KuXJFdBJYsAR4/zn68YUM529qjB2Bnp/v6iIhIp3QeYIkKm7iUOAzYNACbr29Wj3Wu2BmLOy82mI0Jnjd3LjB6tOw+BchsuGmTHm7Uj4vT9Gw9eTL7cQ8PYOBAYNAgoHx5HRdHRET6xABLlI+uRl5F59WdcSP6BgBAAQW+bfYtvmj4hUG1yALkJlSffgrMmaMZ691bTnzm0B0vf7yqZ6u5OdC5s7whq1Ur9mwlIiqkGGCJ8knwtWC8u/FdJKQlAACcrJywsttKtC7bWs+VZff0qewuFRysGfvyS+Cbb+RN/Pnuzh15d1hQ0It7tg4eLHu2snUeEVGhxwBLlMdUQoXp/07H5AOT1WPV3apjY6+NKOP0djvR5YeICCAgADh9Wj43MwMWLJD3QeWrzJ6tQUHA3r3Zj7NnKxERvQADLFEeSkhNwMBNA7Hx2kb1WM8qPRHYMRC2FrZ6rCxnly8D7doB9+7J5w4O8pP7Fi3y6YKZPVuDgoCVK3Pu2dqqlbwhiz1biYjoBRhgifLIrSe30HlVZ1yOlE1TFVBgRvMZ+LzB51AYYDun3bvlBgXx8fJ5qVKyM1XVqvlwscyerUFBmqayz/Px0fRsLVkyHwogIqKChAGWKA/sub0HPdf2RExKDADA0dIRK7utRNtybfVcWc7++gv46CNNG9WaNWXrrOJ5uftrZs/WoCBg69bsPVttbDQ9Wxs2ZM9WIiLKNQZYorcghMDck3MxdudYKIUSAFDJpRKCewejnHM5PVeXnUoFfPUVMHOmZqxTJ2D5crkHQJ7I7Nm6dKmcec2qQQNNz1Z7+zy6KBERFSYMsERvKE2ZhhHbRuCvc3+pxzqU74DlXZcbZH/X5GTZNnXtWs3YmDHArFl50I0qLg5YvVoG1+PHsx/38JDLAwYPZs9WIiJ6awywRG/g8dPH6LamGw7fO6wem9BwAr555xuYmhheb9LISDnTeuyYfG5iAvz6KzBixFucVKUCDh6UoXXdOpmQn2duLi+a2bPVjH/dEBFR3uBPFKLXdD7iPDqu6oh7cfLWfSszKyzquAh9q/XVc2U5u3oVaN8eCA2Vz21t5WRp+/ZveMK7d2XP1r//1pz0edWry3Wt7NlKRET5hAGW6DVsvr4Zfdf3xdP0pwAAD3sPbOq1CbVL1NZzZTnbtw/o2lXTrcrDQ95P9dptVZOT5X6ygYGyZ6sQ2sednGTP1iFD2LOViIjyHQMsUS4IITDr6CyM3zMeAjK81SlRBxt7bYSHvYeeq8tZYCDwwQeam//9/GR4LVEilycQQu5uEBQErFiRvWerQqHds1Vn+80SEVFhxwBL9AqpGan4cNuH+Dvkb/VYn6p9sKjjIlibW+uvsBfIqdNAhw5y3wA7u1yc4PFjTc/WS5eyH/fxketaBwwAPD3zrG4iIqLcYoAleonIp5Houqar1s1a05pOw8TGEw1yc4KcOg2MGgX89NMrOg1kZMierYGBL+/ZOmQI0KgRe7YSEZFeMcASvcCVyCvosKIDQmPljUrWZtZY3HkxelTpoefKcvbokfwk/+RJ+dzEBJgzB/j445e86epVOdO6ZEnOPVvr15ehtWdP9mwlIiKDwQBLlIPd/+1G97XdEZ8q91ktblccm/tsRi2PWnquLGeXLsllAnfvyud2dsCqVS/oNPCqnq3Fi2t6tlaokK91ExERvQkGWKIsFp5ZiI+2faTeWauGew1s7rMZJR1K6rmynO3cKT/dT0iQz0uWlKsAfH2fe1FuerZ27ChDa+vW7NlKREQGjT+liJ5RCRW+2P0FZh+brR7rWKEjlnddDjuL3Nz9pHvz5wMjRwJKmbVRsyawZYucRAUA3Lsne7YGBeXcs7VaNdmztV8/9mwlIiKjwQBLBCApPQn9N/THxmsb1WNj647FDy1/MMidtZRKYNw44JdfNGNdugBLlwK2pinAqk3yhqw9e7L3bC1SRAbWwYMBf3/ekEVEREaHAZYKvYjECASsDMDpsNMAAFOFKea2nYuPan+k58pylpAA9OkDbNumGfv8M4EZ3c/A5PNnPVtjY7XfpFAALVvK0Nq5M3u2EhGRUWOApULtSuQVtFveDnfj5N1P9hb2WNtjLVqXba3nynJ27568WeviRfnczExgftc9GPbPp8Csi9nfUKaMpmdrqVK6LZaIiCifMMBSobU/dD+6rO6CuFS5w5Sngye299uOqq5V9VxZzk6cADp10nS7KmKeiPXKLmi2Zo/2C21sgO7dNT1bTUx0XywREVE+YoClQmnZhWUYEjwE6ap0AIB/cX9s6bPFYLeFXbMGGDhAhZRUGUbL4ia2pbdHedzUvKh+fTnb2rMn4OCgp0qJiIjyHwMsFSpCCEz/dzq+PvC1eqxduXZY3X21QXYaEHHx+GbATUzeXBOADK9NcADr0Q3OeAK4u2t6tlasqN9iiYiIdIQBlgqNdGU6Ptz6IQJDAtVjH9b8EHPbzYWZiQH9r6BSAf/+i+SFyzB0dSusVPZUHxqMQCww/RgWndrK0NqmDXu2EhFRocOffFQoJKYlosfaHvjn1j/qsR9a/IBx9cdBYShtpDJ7tv79NyJuP0VnbMIJ1AUAKKDCTLdf8NnnCijevQsUK6bnYomIiPSHAZYKvIjECLRf0R5nw88CACxMLbC0y1L0rNLzFe/UgZQUYNMmudHA7t2AEDiP6gjAftyH7BpgY5aKFTPvo9PYMezZSkREBAZYKuCuR11Hm+VtcCf2DgCgiFURBPcORmOvxvorSgjg7FkZWpcv1+rZuhkB6IsVeAq5HrdkCYEtWy3h51dWT8USEREZHgZYKrCO3j+KgJUBeJL8BABQyrEUdvTbgcrFKuunoMhIGViDgoALF7QOCQCznGZgfOwXEELOstapA2zapNBsC0tEpCNKpRLp6en6LoMKEDMzM5iamubZsj0GWCqQgq8Fo/f63kjJSAEA+Lr5Ynu/7bpvk5WRAezcKbd13bIFyPoDwdoaqV164/2o77Bkl7t6uFcvmXOtrXVbLhEVbkIIREREIDbrbn5EecDU1BSurq5wdHR86yDLAEsFzp9n/sRH2z6CSqgAAC3KtMD6nuvhYKnD3qjXr8sEumQJEB6e/Xi9esDgwXj0Tm90GWCPY8c0h6ZNAyZO5HJXItK9zPDq6uoKGxsbw7nJlYyaEAIZGRmIj49HeHg4kpOTUfwtP15kgKUCQwiBaQenYcrBKeqxftX6IbBTICxMLfK/gIQEueNAYCBw9Gj2425uwMCBwKBBQKVKOH8e6NhcNh8A5GzrkiVyEy0iIl1TKpXq8Ors7KzvcqgAsre3h6WlJaKiouDq6gpTU9M3PhcDLBUISpUSw7cNx59n/1SPjas3Dt+3/B4minzcSlUI4NAhGVrXrgWSkrSPm5kBAQGanq3m5gBk44H+/YGnT+XLSpQANm8G/P3zr1QiopfJXPNqY2Oj50qoILO1tUVkZCTS09MZYKlwS05PRt8NfbHp2ib12I+tfsTYemPz76L376t7tuK//7Ifr1oVGDIE6NcPcHVVDwsBfPstMGmS5qXyZi3wZi0iMghcNkD5iTdxEQGITYlFwMoAHL53GABgbmKOvzv/jb7V+ub9xVJSgOBgubZ11y6ZRp/n6Aj06QMMHQrUrJltEWtSksy0q1drxvr2Bf76izdrERERvQ4GWDJa4QnhaL2sNS4+vggAsLOww4aeG9DSp2XeXUQI4Nw5uURgxQogJkb7uEIBNG8uk2nnzi9Mog8eyMNnzmje9t13wBdf8GYtIiKi18UAS0bp1pNbaLm0pXqDgmI2xbCj3w7U9KiZNxeIitL0bD1/Pvvx0qXlzViDBgFeXi891fHjMrw+eiSf29nJLBwQkDelEhFR7sTGxmLEiBFYsWIFQkNDUbp0aX2X9MbS0tJQp04d3Lt3Dw4ODrhz546+S9KpfLy7hSh/nAs/hwaBDdThtXSR0jgy5Mjbh9eMDGD7dtkGwMMDGD1aO7xaW8s7r/btk+teJ09+ZXhdvBho0kQTXsuUkYGW4ZWISLd27doFf39/nM9pUuI1xMbGYsqUKQgJCcmbwt6QhYUFQkJC0LFjR73WoS+cgSWjcvDOQXRc1RHxqfEAgKquVbGz/86326Dgxg0507p4cc49W//3P7lEoFcvuc41FzIygM8+A375RTPWtCmwbh3A7jRERLr3zTffYP369QgODsbly5ff+DyxsbGYOnUqSpcuDT8/v7wrkF4LAywZjeBrwei1rhdSlakAgAaeDbClzxY4WTu9/skSEmTbq8BA4MiR7Mfd3IABA+QSgcqvt/VsdLTMunv3asY++giYM0fdRYuIiHRs//79MDMzQ3BwsL5LoTzAJQRkFBaHLEbXNV3V4bV9ufbY9e6u1wuvmT1bBw+WPauGDtUOr2ZmcrFqcLBsk/XDD68dXi9dkm2xMsOruTnwxx/A778zvBIR6ZOZWe7m7FasWIFatWrB398f1atXR4cOHbBp0yYAwPLly9GuXTsAwNdffw0/Pz/4+fnhypUrLz3nmTNn0LZtW3h5ecHb2xuNGjXCnj171Mf3798PPz8/WFhYYNCgQfjtt9/QsGFDFCtWDAqFQr2178GDB1GzZk24u7ujbt26+Omnn154zeXLl8PX1xfly5dH6dKlMXToUERFRamP9+rVC6VKlYJCocC///6Lbt26wc/PDwqFAqNHj87Vn5VeiUIiLi5OABBxcXH6LoVe0y/HfhGYAvWj/4b+Ii0jLfcnuH9fiOnThShbVggZY7UfVaoI8eOPQjx69FZ1btwohJ2d5rSurkIcOvRWpyQi0pnk5GRx5coVkZycrO9S8tXkyZMFABEaGprt2OHDh4WFhYW4evWqEEKIjIwMMXr0aNGkSRP1a0JDQwUAERQUlKvrnTp1SlhbW4vx48cLlUolhBBi3rx5wsTERAQHB2u91svLSxQvXlzMmzdPCCFETEyMcHR0FDExMeLGjRvC0tJSvPfee0KpVAohhJgzZ45wdXUVXl5eWueZN2+eUCgUYvPmzUIIIRISEkTjxo2Fr6+vSE1NVb8uKChIABAtWrQQERER6j+fTz75JFdf25t41fdZbvMalxCQwRJCYOrBqZh6cKp6bGSdkfilzS+v3l0rNVW7Z6tKpX08s2frkCFArVpv1ctKpQKmTgWmTdOM+fsDGzcCpUq98WmJiAxDrVpARIS+q9BwdwdOn86XUx87dgxWVlbwenaDrqmpKT7//HOsX7/+jc85btw42NnZYdq0aeom/iNGjMAff/yB0aNHIyAgQKu5v729PUaMGAEAKFKkCM6cOQMHBweMGjUKQgjMnDkTJibyZ+DIkSMxd+5c9S5qAJCQkIAJEyagbdu2CHh2x7CdnR2mT5+Oxo0bY/Xq1Xj33Xe1ahwyZAjc3NwAAJ9++imeZm4TacAYYMkgqYQKo/8Zjbkn56rHJjeZjMlNJr98F4/ne7Y+eZL9eGbP1i5d8mT3gPh42ZhgyxbNWJ8+cnMC7sZIRAVCRATw8KG+q9CJJk2aYMKECahVqxY++ugjdO7cGSVLlsTHH3/8RudLSkrCoUOH0LJlS5hnWUdWr149/Pnnn7h58ybKly+vHq9atarW63x8fAAAR44cgY+PD4oWLao+plAoULVqVZw7d049dvToUSQkJKBhw4Za56lWrRoAYN++fdkC7PPXtLe3h729/Zt8uTrFAEsGJ0OVgaGbh2LJ+SXqsV9a/4JP6n6S8xuio2VgDQwEcmpr4uUl170OHCj7t+aR69flktlr1+RzExPg+++BTz/l5gREVIC4u+u7Am35WE/t2rVx9OhRzJ49G5999hlGjhyJxo0bY/bs2ahdu/Zrny8mJgYqlUordGZyftaSJjIyUivAvig8hoWFwd/fP9u4Y5buOJnrXOfPn4/Vz2/9CMDNzQ0pKSnZzmEMgTUrBlgyKKkZqei9vjc2XdsEADBRmGBRx0UY5DdI+4VKpVwaEBgIbN4MpKVpH7eyArp1k8H1nXdkusxDW7bImdd42c0LTk7AqlVAq1Z5ehkiIv3Lp4/rDVXt2rWxevVqJCQkYM2aNZgyZQpatGiBO3fuwMnp9breODk5wcTEBE9y+EQwOjoaAFCsWLFcncvDwyPH82Te4JXJxcUFgFwK8MknL5j4KQDYhYAMxtO0pwhYGaAOrxamFljXY512eL1xA/jyS7m4tF072Vj1+fBapw6wYIHs57psmVwykIfhVaWSa107ddKE12rVgFOnGF6JiIzdihUrsHnzZgByVnLo0KGYM2cO4uPjERoaCgDqpQBCCADA1atXX7ipgY2NDRo1aoRz585prVMFgOPHj8Pb2xvlypXLVW0NGjTA7du3tUKsECJbT9v69evDzs5Oa1lBpunTp7/Vel5DwgBLBiEuJQ5tlrfB7tu7AQA25jbY2mcrulTqInu2BgYCjRoBFSoAM2YAYWGaN7u6ys/tL10CTpwAPvgAKFIk72uMk0tnJ0+WfQYAuWnX0aPAsyVKRERkxG7cuIEZM2YgJiYGAKBSqfDvv//Cw8MDlZ+1VXRzc4O1tTUePHgAAJg2bZo69OZk1qxZiI+Px9SpU9Whd8GCBbh06RJ++eWXl9/X8ZyJEydCoVBg/PjxUD27MXnu3LkIz7IBj729PWbMmIGVK1di586d6vHNmzdj3rx5qFOnTi7/NAxcHndHMFhso2W4Ip9GCv8//NVtshxmOIjDdw4J8e+/QgweLIStbfbWV6amQnTqJMSmTUKkvUZLrTd06ZIQ5cppLq9QCDFjhhDPOqIQERm9gt5Ga+rUqcLX11e4ubkJAKJSpUrC19dXnDp1Sv2akJAQMXDgQPWxKlWqiC5duogrV65oneuPP/4QXl5eolq1aqJFixYiMjLypdc+ffq0aN26tShVqpQoXbq0aNCggdi1a5f6+IULF4Svr68wNzcXTk5OwtfXV2zbti3beQ4cOCBq1qwpXF1dhb+/v5g0aZIYMGCAMDc3F76+vmLfvn3q165YsULUqFFDeHt7ixo1aoiOHTuKCxcuqI8PHz5ceHp6qv8sAgICXvvP9E3kVRsthRCZc0kFW3x8PBwdHREXFwcHBwd9l0PPhCWEoeXSlrgSKZtAu1gVxc6MPvBfvAu4eTP7GypVkl0E+vfX2Y0F69bJDbkyu4oULQqsXMklA0RUsKSkpCA0NBTe3t6wsrLSdzlUQL3q+yy3ec3gb+K6ffs2/vzzT+zduxcZGRlITk6Gt7c3vvzySzRq1Ejf5dFbuBt7F82WNMPtmNsAAI80S+z+PQaVH/+m/UIHB9mbavBgucZVR7f4Z2QAEyfKzgKZ/PyADRsAb2+dlEBEREQ5MPgAO3z4cDx+/Bhbt26Fh4cH0tPTMWrUKDRt2hQbN25Ex44d9V0ivYFbT26h2V+NcD9ZNscuHQPsXZKKMjHPvahZM03PVh03VX38WGbmffs0Y/37y21h2d+ViIhIv4ziJq5JkybBw8MDgLz776effoKJiQlmz56t58rotUVH48ovX6LxD5XU4bVCFHAoCDK8liol75K6fRvYuxfo10/nifHECaBmTU14NTUF5swBlixheCUiIjIEBj8Du2XLFpiZaZdpbW2NokWLqu8SJAOnVAK7dwNBQTh/dANa9slApK08VO0RsHuVBdw6dJezrfnQszW3hADmzwdGjwYyu524uwNr1sgGCERERGQYDD7AZt16DZDNfyMjI9G7d+8Xvi81NRWpqanq5/GZTTtJd27eBP7+G1i8GHj4EKc8gNbvAjHPdnD1j7PBrqpT4Xx7WL60vXodSUnAhx8CS5dqxho2lOG1eHH91UVERETZGXyAzcn8+fPh4uKCCRMmvPA1M2bMwNSpU3VYFQEAEhOBtWuBoCDg0CH18BFPoF0/IP7ZDYf1ivpi+xcHUMSqiH7qfM7Nm7Kf64ULmrExY+TNWzn8+4mIiIj0zCjWwD7v1KlTmD17NlatWgX3l7RRmjBhAuLi4tSP+/fv67DKQkYI4PBhYOhQ+Zn7kCFa4fWgtwlaDzJVh9cmXk2w8/1DBhFe16+X610zw6utLbB6NfDTTwyvREREhsqoZmAvXbqELl26YNmyZWjWrNlLX2tpaQlLS0sdVVZIhYXJO5sCA1/Ys3XvwEYIyFiC5IwUAEArn1bY2GsjbMz1ezdUejrwxRfAzz9rxipWlIH22WYrREREZKCMJsCeO3cOnTt3RmBgIFqxg7z+pKYCW7bIJQL//AM8285Ozd4e6N0bGDwYO13i0HlNF6Q8C6/ty7XHup7rYGWm3wbZDx4AvXrJLWAz9e4NLFwI2Nnpry4iIiLKHaNYQnDy5El06tQJS5Ys0QqvtWrV0mNVhUxICPDJJ0CJEkCPHsD27drh9Z135B1QERHAn39im/MTdFzdSR1eO1XohPU91+s9vO7eDdSooQmv5ubAb78BK1YwvBIRERkLg5+BPXz4MNq1a4fBgwcjPDwcq1atUh87c+aMHisrBJ48kckuMBA4dy778VKl5B6rgwZpbU0VfC0YPdb2QLpK9qLqVqkbVnZbCXNT/S0qVSqBqVOB6dPlkl1Alr92rdzci4iIiIyHwQfYUaNGISEhAb/++it+/fVXfZdT8D3XsxWbNgFpadrHrayArl3ltq7NmmXr2brh6gb0WtcLGaoMAECvKr2wtMtSvYbX8HCgb1/gwAHNWLt2cvmus7PeyiIiogKmRYsWuHTpEh49egSROVtSiOvITwa/hODs2bMQQrzwQXnk1i3gq68ALy+gbVvZAPX58FqrluzyHx4OLF8OtGiRLbyuv7IePdf2VIfXftX6YVnXZXoNr3v3An5+mvBqagrMnCmX8TK8EhEVDrdv38b48eNRu3Zt1KhRAxUrVkTbtm1x6LmOOXlhz549+PDDD/P0nMZcR34y+BlYykeJicC6dXK29d9/sx8vVgx4910521q16ktPte7KOvRe1xtKoQQADPQdiEUdF8HUxDQ/Kn8lpRL45htg2jTNkoESJYBVq+QGBUREVHgMHz4cjx8/xtatW+Hh4YH09HSMGjUKTZs2xcaNG9GxY0d9l0ivyeBnYCmPCQEcOQIMGya3mBo8WDu8mpoCHToAGzfK2/V//PGV4XXt5bVa4XWw32C9htewMDlBPHWqJry2aSPvQ2N4JSIqnCZNmgQPDw8AcpfPn376CSYmJpg9e7aeK6M3wQBbWISFyc/OK1aUKW7RIjkDm6liReCHH2Ro3bIF6NwZsLB45WnXXF6DPuv7qMPrEL8h+KvjX3oLr9u3A76+2ksGZswAtm0DXFz0UhIREenZli1b0LlzZ60xa2trFC1aFDExMeqxXr16oVSpUlAoFDh48CC6dOmCKlWqwMfHB4sWLcp23gsXLqBp06ZwcXFBnTp18OWXX0KpVOa6rlu3bqFnz54oVaoUypUrh5o1a2L16tXq49evX4efnx/s7OzQtGlTrF27Fo0bN4anpycUCgVCQkJeu46dO3eiXr16KFu2LEqXLo0ePXogNDRUfXzMmDEoW7YsFAoFNmzYgIEDB6JWrVowNzfP9meoV6KQiIuLEwBEXFycvkvRndRUIdatE6JdOyFMTISQE5Kah729EMOGCXH0qBAq1WufftXFVcJ0qqnAFAhMgRgaPFQoVcp8+EJeLTVViE8/1f7ySpYU4t9/9VIOEZHRSU5OFleuXBHJycn6LkUnoqKihEKhEKNGjdIaDwoKEgBEQECAiI2NFUIIMWfOHGFiYiJu3Lihft2TJ0+Es7OzaNeunUhJSRFCCLFp0ybh5uYmchOv7ty5I5ydnUW/fv1Eenq6EEKI4OBgYWpqKubNm6f12iZNmghXV1cxfvx4IYQQqampoly5cuLcuXOvVUdwcLAwMTFRnz89PV306tVLlChRQkRHR6tft3//fgFA1KxZU/01BwUFiU6dOr3y63qVV32f5TavcQ1sQXT+vFzXumwZEB2d/XjTpnK7165d5d6pb2DN5TXot6GfeuZ1WI1h+CPgD5godD+p/99/ciOC06c1Yx07yu5fvFGLiOjt1PqzFiISI/Rdhpq7nTtOv3/61S98hfnz58PFxQUTJkzI8fiAAQPg6OgIAOjduzc++eQTHDhwAOXKlQMA/Pzzz4iOjsYPP/yg3vmzU6dOmDt3Lh49evTK60+ePBnx8fH4+eefYWYm41jHjh3Rrl07TJgwAQMGDIC9vb369SkpKZg8eTIAwMLCAnv27IGrqyu+++67XNUhhMDo0aNRsWJFjBgxAgBgZmaGWbNmoVSpUvjtt98wadIkrRq7deum/np79+79yl1QdYkBtqB48gRYuVKmtrNnsx/39NT0bC1T5q0ute7KOvRd31cdXt/zfw8LOizQS3hdsQL48EMgIUE+t7AAZs8GPv4YUCh0Xg4RUYETkRiBhwkP9V1Gnjp16hRmz56NDRs2wN3dPcfXVKxYUf17l2dr0CIiNEH+yJEjsLa2RpUqVbTeV61aNezdu/eVNezcuRNlypRBsWLFtMbr1auHLVu24NixY1qbN5UtWxZWVprNgEqVKvVaddy4cQOhoaF4//33tV7n6ekJR0dH7Nu3L1uArfrcPTBWVlbqaxoCBlhjplTKPlGBgbJna2qq9nFLS6BLF3mjVvPmckHoW9pwdYPWDVvDagzTS3iNj5chdelSzVjZssDq1YC/v05LISIq0Nztcg54+vK29Vy6dAldunTBsmXLXjqjaPfc9owmz9pGPr+uNCwsDE5OTtnelzlr+ypRUVHwfm4ToEzOzz46jIyM1Bp/fjb2ebmtIyoqCgAQHByMEydOaB2ztbVFenp6tnO86JqGgAHWGP33n1wisHixvOkqq1q1ZGjt0wfI4Zv6TW26tgm91vXSumFLH8sGTp6UX9rt25qxd9+VW8Ia8P9rRERGKS8+rjcU586dQ+fOnREYGKg1u/kmPDw8cPfu3WzjsbGxuXq/i4sLnjx5km08+tnSv6wzs29bR+Yscp8+ffDzzz/n6tyGjF0IjMXTpzKwNmkipxq//VY7vLq4AGPGABcuAKdOAcOH52l43Xx9s9YmBQN9B2Jhx4U6Da9Kpewo0KCBJrw6OMh9FZYsYXglIqIXO3nyJDp16oQlS5ZohddatWq90fkaNGiA5ORkXLp0SWv84sWLuXp/69atcfv2bfXMaKbjx4/D3t4e9erVy9M6ypcvj9KlS+NcDlvD//nnn5g/f36urmcoGGANmRDA0aOyZ6u7u1y/+nzPVhMT2bN1wwbg4UPgp5+AatXyvIytN7ai+5ruSFfJjxferf4uFnVcpNPweu+eXAXx5ZdAhszQqFtX9nbt21dnZRARkRE6fPgwWrRogS5duiA8PByrVq1SP86cOfNG5xwzZgycnZ3xxRdfIPXZEr7g4GCcPHkyV++fMmUKHBwc8OmnnyLj2Q+2rVu3Ytu2bZgxY0auP77PbR0KhQJz5szBoUOHEBQUpB4/fvw4vv76a9SpUydX1zMYb90PwUgYVRutsDAhZs4UokKF7K2vADk+c6Z8XT7bcXOHsPjGQt0qq9/6fiJDmZHv133e8uVCODpqvnwTEyEmTRLiWdcRIiLKAwW5jVaNGjUEgBc+Mg0fPlx4enoKAKJSpUpi1apV4siRI8LX11cAEG5ubqJbt27q11+4cEE0adJEODs7C39/fzF8+HAxfvx4AUD4+vqKZcuWvbSumzdviu7duwtPT0/h4+MjatSoIVauXKk+HhUVJXx9fYWtra2wtbUVvr6+YuHChdnO8zp17Nq1SzRo0ECUKlVK+Pv7i+bNm4t/n+s5OX36dOHj4yMACB8fH1GzZs03+jN/kbxqo6UQInOvooItPj4ejo6OiIuLg4ODg77LyS4tDdi6Vd6Q9c8/8vPy59nbA716yfZXdevq5Bb7vbf3osPKDkjJSAEA9K7aG0u7LIWZiW6WTsfGypUQK1dqxkqVkjduNW6skxKIiAqNlJQUhIaGwtvbW+tud6K89Krvs9zmNd7EpW8XL8rQumwZkGUdDAC55nXIEKBbtzfu2fomDt09hI6rOqrDa/fK3XUaXg8cAAYMAO7f14z17w/Mmwfk8gZPIiIiKqAYYPUhJkbTszWntTeensDAgXLNq4+Pzss7dv8Y2q1oh6T0JABAxwodsaLrCp2E15QUYOJEuZw387OBIkWA+fPlZgVEREREDLC6olQC+/bJ0LpxY849Wzt3lu2vWrTIk56tb+LUw1Nos7wNEtMSAQBty7bFmu5rYG5qnu/XPnNGzrpeuaIZe+cd2XzB0zPfL09ERERGggE2v92+Dfz9t3w8/3l4ppo15RKBPO7Z+iZCIkLQellrxKfGAwBalGmB9T3Xw9LMMl+vm54OfPcdMH26psOApaXsFDZmjGy2QERERJSJATY/PH0KrF8vNxs4cCD7cRcXuaBz8GCgenWdl5eTK5FX0HJpS8SkxAAAmng1QXDvYFibW+frda9elbOup5/rk+3vL/u6ZtkVj4iIiAgAA2z+mDIFmD1be8zEBGjbVs62dugAWFjopbSc3HpyCy2WtEBUkryJrL5nfWztuxU25jb5dk2lUq5znTRJs5rC1BT46iu5BtY8/1csEBERkZFigM0PAwZoAmyFCnKm9d13AQ8P/daVg7uxd9F8SXOEJ4YDAGoWr4ntfbfDzsLuFe98c1evyj+S57dirlhRzrrWrp1vlyUiIqICggE2P1SrBkydKm/GqldPJz1b30RYQhiaL2mOe3H3AABVXatiZ/+dcLTKnz5VSiXw44/A119rZl0VCrnOdfp0wDp/VysQERFRAcEAm1++/lrfFbxU5NNItFjSAv/F/AcAKO9cHnve3QNnG+d8ud6VK3L1xPOzruXLy2XC9evnyyWJiIiogOL93YVQTHIMWi1rhatRVwEA3kW8sXfAXrjZueX5tdLSgG++AWrU0IRXhQIYNw4ICWF4JSIiotfHGdhCJjEtEe1WtENIRAgAoIR9CewdsBclHUrm+bVOngSGDgUuXdKMlS8vO4rVq5fnlyMiIqJCgjOwhUhKRgo6reqE4w+OAwBcbV2xd8BeeDt55+l1nj4Fxo6VITUzvJqaAl98IWddGV6JiIjobTDAFhLpynT0XNsT+0L3AQCKWBXBrv67UMGlQp5eZ9cueQ/bzz8DKpUcq1FDzsbOnMkbtYiIqGD59ddfUblyZSgUCvz999+Fvg5dYYAtBJQqJQZuGogtN7YAAGzNbbGj3w74uvvm2TUePQL69QNatwZCQ+WYpaUMrSdOyM0JiIiI9OHevXv48ssvUbt2bdSsWROVK1eGr68vfv31Vwgh3urco0aNwvbt2/OoUuOvQ1e4BraAE0Lgo20fYeWllQAAS1NLbO6zGXVL1s2T86tUwKJFwOefA7GxmvFGjYC//pJrXomIiPRp3759mDt3Lvbu3Ys6deoAAIKDg9G1a1ckJCTgq6++0nOF9Lo4A1uACSHw2e7PsPDsQgCAmYkZ1vZYi2bezfLk/JcvA40bA++/rwmvTk4y0B44wPBKRESGwd3dHePGjVOHVwDo1KkTqlativXr1+uxMnpTDLAF2HeHvsOPx34EACigwNIuSxFQIeCtz5uYKGdc/fyAI0c04+++C1y7Jvu9mvA7i4iIDESbNm0wefLkbOMJCQkoVqyY+nmvXr1QqlQpKBQK/Pvvv+jWrRv8/PygUCgwevRoAEBKSgpGjRqFYsWKoWrVqggICMDt27dzXUt6ejqmTZuG8uXLo2LFivD29saYMWOQmJiYb3WEh4dj4MCB8PLyQvny5eHv749169apj+/fvx9+fn6wsLDAoEGD8Ntvv6Fhw4YoVqwYFAoFYp//iNVQiEIiLi5OABBxcXH6LkUn5p2YJzAF6sefp/9863OqVEKsXi1EiRJCAJpHuXJC7NmTB0UTEZHeJCcniytXrojk5GR9l5Lv4uPjxfjx44Wrq6s4c+aM1rGgoCABQLRo0UJEREQIIYSYPHmy+OSTT4QQQgwePFg4OTmJ8+fPCyGECA8PF02bNhUARFBQ0Cuv3b17d1GyZElx48YNIYQQERERokqVKqJevXoiLS0tz+uIjY0VPj4+okmTJiIxMVEIIURwcLBQKBRi5cqVWrV5eXmJ4sWLi3nz5gkhhIiJiRGOjo4iJibmlV9Xbr3q+yy3eY1rYAug5ReW4+MdH6ufz2o5C+/VfO+tznntGjByJLBnj2bM0hIYP14+rKze6vRERGSgatUCIiL0XYWGuztw+vSbv79y5cq4ceMGKlasiA0bNsD/BXcZDxkyBG5ucoOfTz/9FE+fPsXNmzexePFijB07FtWrV39WjzuGDh2KAwcOvPLaBw4cwLp16/DLL7+gXLlyAAA3NzdMmzYN3bp1w/LlyzFo0KA8rePnn3/Gf//9h5UrV8LW1hYA0LFjR7zzzjv46quv0Lt3b63X29vbY8SIEQCAIkWK4MyZM3BwcHjl16ZrDLAFzNYbWzFw00D18wkNJ2Bc/XFvfL6EBODbb4GffgLS0zXj7doBv/4K+Pi8TbVERGToIiKAhw/1XUXeuXLlCtLS0rBs2TI0a9YM06dPx2effZbtdVWrVlX/3t7eHvb29ti9ezdUKhVq166t9dpq1arl6to7d+4EAPzvf//TGq/3rEH6rl27sgXYt61j586dsLKyQs2aNbO9dt++fbh79y68vLxyvB4A+BjoD3oG2ALk4J2D6LG2B5RCCQD4sOaH+LbZt290LpUKWLpUzq4+/y9vLy9gzhygY0e5JSwRERVs7u76rkBbXtRjYWGBIUOG4NixY5gwYQK6du2aLajZ29tne19YWBgAwMnJSWvc0dExV9eNiooCABQtWlRr3NnZGQAQGRmZ7T1vW0dUVBSUSmW2mebExES4ubkhKipKK8DmdD1DxABbQJwNP4uAlQFIyUgBAPSu2hvz2s2D4g1S5okTwKhRcvOBTBYWwGefAV9+CdjY5FXVRERk6N7m43pDkZycDAsLC5iammqN+/n5QalU4uzZs7maafTw8AAAPHnyRGs8tzc5ubi45Pj+6OhoANC6oSyv6nBxcUFUVBRCQkJydW5jwXvFC4Ab0TfQZlkbJKQlAADalm2LxZ0Xw9TE9BXv1BYWBgwYANStqx1eO3cGrl4Fpk9neCUiIuPTtm1brFmzJtv43bt3AWiC5avUrVsXJiYmOHXqlNb4xYsXc/X+1q1bAwBOnDihNX78+HGt43lZR+vWrREbG4s7d+5ojd+6dQt9+vRBRkZGrq5paBhgjdzD+IdotbQVIpPkxw4NSzXEup7rYGFqketzJCYCkycD5crJZQOZqlQBdu8GNm4EypTJ68qJiIh0Z8aMGerACgAHDx7E77//jjp16qBx48a5Oke5cuUwcOBABAYG4sKFCwCAiIgIzJ07N1fvb9q0Kbp3744ff/wR//33HwDg8ePHmDx5MurVq4e+ffvmeR2jR4+Gj48PPv74Y3WrrtjYWIwYMQKenp4wMzPSD+PzrC+CgSuIbbSik6JFld+qqFtlVZ9fXcQkx+T6/RkZQvz5pxDu7tptsZychJg7V4j09PyrnYiIDEtBbqN15MgRMWzYMFGlShVRrVo1UaZMGVGxYkUxfvx4rVwwfPhw4enpKQCISpUqiYCAgGznSk5OFiNHjhQuLi6icuXKonnz5iI4OFgAEJ6enqJnz54vrSUtLU1MmTJFlC1bVlSoUEGULl1ajB49WsTHx+dbHeHh4WLQoEGiZMmSonr16qJGjRrihx9+EEqlUgghxIULF4Svr68wNzcXTk5OwtfXV2zbtu21/5xzI6/aaCmEeMtNgI1EfHw8HB0dERcXZ5DtIF7X07SnaLm0JY49OAYAKONUBocHH0Zx++KvfK8QwM6dck3rpUuacTMzYMQIYNIk4Nl6ciIiKiRSUlIQGhoKb29vWLE3IuWTV32f5TavGem8ceGWrkxHj7U91OHVzdYNu/rvylV4PX4cmDBBbvX6vK5dgZkz5TICIiIiIkPGAGtkVEKFQcGDsOPWDgCAg6UD/un/D3yKvvzuycuXgYkTgU2btMfr1AF+/BFo2DCfCiYiIiLKY7yJy4gIITB251isuLgCAGBlZoUtfbbAz93vhe+5excYPBioXl07vJYtC6xcCRw7xvBKRERExoUzsEbkhyM/YM6JOQAAU4UpVndfjcZeOd85ef8+8N13wKJF2jtoFS8uOw4MGQKYm+uiaiIiIqK8xQBrJBaHLMb4vePVzxcGLETHCh2zve7hQ2DGDGDhQiAtTTNepIhc+/rxx+zlSkRERMaNAdYIbLuxDUM3D1U//67ZdxhcY7DWax4+BL7/HvjzTyA1VTNuZwd88gnw6adAlh3niIiIiIwSA6yBO/7gOHqs7QGlUAIARtYZifENNTOxt2/L4Pr339ozrra2wMiRMrjmcoMRIiIiIqPAAGvArkZeRfsV7ZGckQwA6FmlJ35p8wsUCgUuX5ZLBVauBFQqzXtsbGQv188+A3K5pTIRERGRUWGANVBhCWFos7wNniQ/AQA0826GJZ2X4PgxE8yalb0dlr09MHw4MGYM4Oam+3qJiIiIdIUB1gDFpcSh7fK2uBd3DwDg51oTgyy24J3Gljh2TPu1zs7A6NFy1pVrXImIiKgwYIA1MKkZqeiyugsuPLoApNnA+fo4xJydhAGh2v+pPDyAceOA996TN2oRERERFRYMsAZEJVQYuGkg9p+9C5yaDUXIUEQnF0H0c6+pWlUG1969AUtLvZVKRERktO7cuYPOnTvj1q1bqFWrFg5k3V+dDB534jIQKhXQ/dtFWP3lu8CvN4Fjn0IkF1Efb9kS2LkTuHABGDiQ4ZWIiOhNlS5dGiEhIahVq9Ybn+Pvv//G33//nXdF5ZOTJ0+iSJEiCA4OfqP3h4SEYMqUKYiNjc3bwt6S0QTY2NhY9OvXDwqFAnfu3NF3OXnm8WNg9mzAzSsGGye9B9xsj8z/LJaWMqyGhAC7dgGtWgEKhV7LJSIiIhhPgLW1tYWXlxccHR3f6P0hISGYOnWqwQVYo1hCsGvXLnz44YewMZItpJQqgZOhT/A4IQWu9lao410Upiaa5KlSAXv2yN2ygoMzt3rV3IFV1D0Bn4+2x9Ch7OFKRETG7VU/Eyl/ValSBefPn9d3GXnOKGZgv/nmG6xfvx7du3fXdymv9M+lcDT8fh/6LDyOT1aFoM/C42j4/T78cykcd+4A33wDlCkDtG4NrFuXGV6f8d6DXt+swqP79vjiC4ZXIiIybi/7mahr69atQ6VKleDp6Yn69etj+fLlOb7ur7/+QuPGjVGrVi34+fmhUaNG2Lt3r/p4QkIC/Pz8cPr0aZw+fRp+fn7w8/PDzJkzAQChoaF477334OvrC39/f/j6+mLMmDGIj49/aX379++Hn58fLCwsMHDgQEyZMgV16tSBm5sbatWqhYMHD2Z7z549e9C4cWOUKVMGXl5eaNu2Lc6ePas+vnHjRvj5+UGhUGDKlCkAgOvXr8PPzw92dnZo2rQpVq9ejSZNmsDT0xNNmjTBjRs31O8fM2YMvv76awBAu3bt4Ofnh/r166uPz5kzB35+fvD390f16tXRs2fPHOvMF8IIpKenCyGEmDx5sgAgQkNDX/sccXFxAoCIi4vL4+o0dlwME6W/2Cq8nnuU/OQf4dz6vLAsGSUAke2hsHsk0GCmwMflxLDgYUKlUuVbfURERC+SnJwsrly5IpKTk/PkfDn9TPT6Yqso/eyx42JYnlwnNw4cOCAUCoX45ptvhBBCqFQqMW7cOOHi4iKaNGmi9dqKFSuKzZs3q5/v379f2NjYiHPnzmm9rkmTJtneK4QQK1euFI0bNxaJiYlCCCESExNFly5dRNeuXXNVq5eXl7CxsRFz5swRQgihVCrFkCFDhJWVlbhx44b6dcHBwcLExETMnz9f/TV99tlnwtraWpw6dUrrnADE5MmTs9Xv6uoqZsyYIYQQIiUlRdStW1c0atRI63VBQUE5Zq/ly5eLYsWKifDwcPX7e/ToIQYOHPjSr+9V32e5zWtGMQNrZmb4Kx2UKoGpW65AABBKBZJuuCFyoz8ezGuB6J3VkfrAWf1ahQJo1jIFzoPehxhTAmg5Hm3rlsX8DvOh4CJXIiIycs//TMwqc2zqlitQqnJ6Rd6bNGkS3NzcMGHCBACAQqHA1KlTkZqamu21GzduREBAgPp506ZNUa1aNSxcuDBX12rdujXWrFkDW1tbAHIN6vvvv48NGzYgMjIyV+fw8PDAyJEjAQAmJib4/vvvoVKp8M033wAAhBD45JNPUK1aNXz44Yfqr2n69OmwtbXFuHHjcnWd9PR0jB07FgBgaWmJLl264PDhw0h7fm/6Fzh69CicnJzg6uqqfv/kyZPRqlWrXF37bRl+MnxDqampWt+Yr5q6f1snQ58gPC4FABD7bwXEn/TJ9hpz5wQMHWSCkR8I9NvXCNERIQAA/+L+WNNjDcxMCux/DiIiKkSe/5mYEwEgPC4FJ0OfoJ6P8wtflxeUSiWOHz+OFi1awNTUVD1uY2MDH5/sP6tNTEwwePBghISEQKVSQaFQ4NatW7m+CcrBwQGLFi3C8uXLER0dDTMzMyQmJgIAbt26hWK52Oe9WrVqWhNaLi4u8Pb2xtGjRwEAN27cwJ07d/DBBx9ovc/CwgL+/v7Yu3cvkpOTYW1t/dLrlClTBhYWFlrXEULg0aNH8PT0fOl7mzdvjt9++w3169fHBx98gICAAFSpUgVVqlR55deXF4xiBvZNzJgxA46OjurHq/5DvK3HCZr/UW0qhal/b2KTCvtat+E+8BCKD/0XLfpGYsyJbgh5Fl5LFymNbX23wc6CuxEQEVHB8PzPxLx43duIiopCeno6nHLYrjJrKA0PD0fDhg0RGxuLgwcP4vz58+p2WznN1uZk8uTJGDlyJCZNmoRLly4hJCQEf/31FwDk+hwODg7ZxooWLYqHDx+qv6bMsaycnZ2hVCrx5MmTV17HLstOSCYmMhYqlcpXvrdLly7YvXs3ihYtivfffx/u7u4ICAjAzZs3X/nevFBgA+yECRMQFxenfty/fz9fr+dqb6X+vYVbPOxr34Zr95MoOWIvija/Ckv3eEAhEHTlK+z6bxcAwMnKCTv67YC7nXu+1kZERKRLz/9MzIvXvQ0XFxeYm5vnGOiytobaunUrIiMj8dVXX+UYInMjKCgILVu2RIsWLd7o/QAQFxeXbSw6OholSpQAIL8mADl+TdHR0TA1Nc0x3Oa1Fi1aYPv27QgLC8OsWbNw5MgRtGzZEiqVKt+vXWADrKWlJRwcHLQe+amOd1EUd7SCAnKNa9FmV2HtEwmFiVzfowCgsluHbf+tkPWZWiK4dzAqulTM17qIiIh07fmfiTlRACjuKFtq5TdTU1PUrVsX586dQ0ZGhno8KSkJt2/f1npt5gxp5kxkpvDw7F0TzM3NIe+PAp4+fYrNmzerz5Gb97/MpUuX1OcG5IxraGiougNA+fLlUbp0aZw4cULrfWlpaTh37hwaNWr0yuUDuWVubg4A6noOHTqEBw8e4JdfflFfv1ixYhgzZgwmTpyIu3fv6qRnbIENsLpmaqLA5IDKAJDtf1gFgETTvXigXKweW9JlCRp5NdJdgURERDryqp+JADA5oLLO+sF+8803ePz4sbrVlRACkyZNyjZT2KpVK1haWmL27NlIf9bncsmSJVqtpTJ5e3vj4cOHEELg8OHDGD16NAAgICAAu3fvxunTpwEAMTEx+PHHH1+r3vj4eMydOxcAoFKpMH78eJiYmGDSpEkA5A1bc+bMwYULF9Q3lwkhMHnyZCQmJmLWrFmvdb2X8fb2BgA8ePAAGRkZ6NevH27fvo2QkBDMnDkTSUlJAGR4PnLkCGrUqKGT2V8G2DzUpmpxzO/vD3dH7Y9ErO2vIdZynvr5Dy1+QM8qPXVdHhERkc686Geiu6MV5vf3R5uqxXVWS5MmTbB27VqsWLECJUuWRO3ateHt7Y1atWqpe7lev34d5cuXx8aNG3Ht2jV4e3ujadOmuHDhgtbroqOjAQDjxo1D0aJFUblyZYwbN04dOOfMmYN3330XnTp1Qs2aNdGnTx91V4Nhw4bh22+/fWW9bdu2RUZGBurWrQsPDw+cO3cOO3fuRLly5dSv6dixI3bu3IklS5bA29sbpUuXxrlz53Do0CH1FrmZfWABYMGCBXjnnXcQHR2drY9tcnIyxo8fr9XzdcmSJQCA+vXr47333sO7774LX19fBAQEoHHjxhgyZAjMzc1Ru3Zt1KhRAzVq1ICdnR22bNmSN//RXkEhnp+jNnBTpkzB1KlTERoaitKlS7/We+Pj4+Ho6Ii4uLh8X07w/K4jT5V3MXx3O8SlyvUsH9X6CL+1+43tsoiIyKCkpKQgNDQU3t7esLLKu7Wp3Inr9ZQuXRpNmzY1im1q38Srvs9ym9eMom/TtGnTsGHDBkRERACQ/zKwsLDAX3/9pf5XhiExNVGgno8zIhIjUPevvurw2r5ce/za9leGVyIiKjQyfyYS5SWjCLBff/21elrbWDxNe4qAlQG4G3cXAFDDvQZWdV/FXq9EREREb4lrYPOBUqVE3w19cTpMLuD2dPDE1r5b2euViIiIcrR//374+fkhLCwMmzdvhp+fX652xCqsOB2YD77Y8wU2X5ftNBwsHbCt7zZ42HvouSoiIiIyVO+88w5CQkL0XYbR4AxsPuhWqRtcbFxgZmKG9T3Xo5pbNX2XRERERFRgcAY2H9TzrIfjQ4/jbPhZtCjz5jtxEBEREVF2DLD5xKeoD3yK+ui7DCIiotdiRN01yQjl1fcXlxAQERGResvQzJ2ViPLD06dPoVAo1N9vb4ozsERERARTU1MUKVIEjx8/BgDY2NiwbznlCSEEMjIyEB8fj/j4eBQpUgSmpqZvdU4GWCIiIgIAuLu7A4A6xBLlJVNTUxQvXhyOjo5vfS4GWCIiIgIAKBQKFC9eHK6urkhPT9d3OVSAmJmZwdTUNM9m9RlgiYiISIupqelbf8RLlJ94ExcRERERGRUGWCIiIiIyKgywRERERGRUGGCJiIiIyKgwwBIRERGRUSk0XQgyty6Lj4/XcyVERERElJPMnPaqLWcLTYBNSEgAAHh6euq5EiIiIiJ6mYSEhJdueKAQr4q4BYRKpUJYWBjs7e11sjVefHw8PD09cf/+fTg4OOT79Yj0id/vVJjw+50KE11/vwshkJCQAA8PD5iYvHila6GZgTUxMUHJkiV1fl0HBwf+BUeFBr/fqTDh9zsVJrr8fs/NVrO8iYuIiIiIjAoDLBEREREZFQbYfGJpaYnJkyfD0tJS36UQ5Tt+v1Nhwu93KkwM9fu90NzERUREREQFA2dgiYiIiMioMMASERERkVFhgCUiIiIio8IAmw9iY2PRr18/KBQK3LlzR9/lEBEREb2xBQsWQKFQYMqUKfouRa3QbGSgK7t27cKHH34IGxsbfZdClK9u376NP//8E3v37kVGRgaSk5Ph7e2NL7/8Eo0aNdJ3eUR56t69e1iwYAF2794NlUqF5ORkmJubY+jQoRg5cqROdngk0oeYmBhMmjRJ32VkwxnYPPbNN99g/fr16N69u75LIcpXw4cPx65duxAcHIxz587h4sWLKF26NJo2bYrNmzfruzyiPLVv3z7MnTsXv/32G86cOYMrV65g2rRpGDNmDL777jt9l0eUbyZNmoQGDRrou4xsGGDz2P79+1GjRg19l0GkE5MmTYKHhwcAwNzcHD/99BNMTEwwe/ZsPVdGlLfc3d0xbtw41KlTRz3WqVMnVK1aFevXr9djZUT55+LFi1i/fr1BLR3IxCUEeczMjH+kVDhs2bIl2/e7tbU1ihYtipiYGD1VRZQ/2rRpgzZt2mQbT0hIQLly5fRQEVH+GzlyJKZNm4YiRYrou5RsOANLRG/E3Nw827q/6OhoREZGolmzZnqqikg3EhISMGHCBDx9+hQzZszQdzlEeW716tVISEjA0KFD9V1KjjhdSER5Zv78+XBxccGECRP0XQpRvqlcuTJu3LiBihUrYsOGDfD399d3SUR5KikpCZ9//jlWrFgBExPDnOs0zKqIyOicOnUKs2fPxqpVq+Du7q7vcojyzZUrV5CUlISxY8eiWbNmmDVrlr5LIspTM2bMQMOGDQ3y5q1MnIElord26dIldOnSBcuWLePyASoULCwsMGTIEBw7dgwTJkxA165d4ePjo++yiN5aaGgo5s+fj/Pnz+u7lJdigCWit3Lu3Dl07twZgYGBaNWqlb7LIcoXycnJsLCwgKmpqda4n58flEolzp49ywBLBcKePXtga2uL9u3bq8fS0tIAyA0NNm3ahLJly2LdunX6KhEAlxAQ0Vs4efIkOnXqhCVLlmiF11q1aumxKqK817ZtW6xZsybb+N27dwEALi4uui6JKF+89957uHv3LkJCQtSP7du3AwA+/PBDhISE6D28ApyBJaI3dPjwYbRr1w6DBw9GeHg4Vq1apT525swZPVZGlD9mzJiB+vXrw8vLCwBw8OBB/P7776hTpw4aN26s5+qICheFEELou4iCZNq0adiwYQMiIiLw6NEjVKpUCRYWFvjrr784K0UFir+/P86dO/fC4/yrhQqSo0ePIigoCMeOHYOJiQmePn0KCwsLdO7cGRMmTICDg4O+SyTKc7GxsWjatCnS0tJw9epVuLm5wd3dHWPHjsWAAQP0WhsDLBEREREZFa6BJSIiIiKjwgBLREREREaFAZaIiIiIjAoDLBEREREZFQZYIiIiIjIqDLBEREREZFQYYImIiIjIqDDAEhEREZFRYYAlIiIiIqPCAEtERERERoUBloiIiIiMCgMsERERERkVBlgiIiIiMioMsERERERkVBhgiYiIiMioMMASERmJiIgI/PDDD2jSpAlsbGwwZcoU9bFjx46hevXqKFWqFGJjY/VWIxGRLiiEEELfRRAR0avFxMTA0tISjx8/RtmyZeHk5ITHjx/j3Llz+O6771CqVClcu3YNGzduhKWlpb7LJSLKNwywRERGqEGDBjh69CiOHz+O3377DYGBgTAzM9N3WUREOsElBERERqhRo0YAgAEDBmDq1KkMr0RUqDDAEhEZoYYNGwIAateuDW9vbz1XQ0SkWwywRERGqFy5cgCAq1ev6rkSIiLd4xpYIiIjI4RAr169cOzYMYSHhyM6OhqOjo76LouISGc4A0tEZGR+/fVXdOnSBR07doRSqcShQ4f0XRIRkU4xwBIRGZGQkBDcuXMHffr0QZMmTQAA+/btAwD89ddfuHz5sj7LIyLSCd62SkRk4H788UcEBgaif//+OH36NFasWAEAeOedd2BiYoIlS5bA0tISjo6OqFKlip6rJSLKf5yBJSIycBYWFrh9+zZ27dqF+fPnqzcpKFasGN577z2kpaVBqVTiiy++0HOlRES6wZu4iIiIiMiocAaWiIiIiIwKAywRERERGRUGWCIiIiIyKgywRERERGRUGGCJiIiIyKgwwBIRERGRUWGAJSIiIiKjwgBLREREREaFAZaIiIiIjAoDLBEREREZFQZYIiIiIjIqDLBEREREZFQYYImIiIjIqDDAEhEREZFR+T9LmByVn9RJOwAAAABJRU5ErkJggg==\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"xx = np.linspace(x.min(), x.max(), 100)\\n\",\n    \"\\n\",\n    \"fig, ax = plt.subplots(1, 1, figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"ax.plot(xx, f1(xx), 'r', lw=2, label='1st order')\\n\",\n    \"ax.plot(xx, f2(xx), 'g', lw=2, label='2nd order')\\n\",\n    \"ax.plot(xx, f3(xx), 'b', lw=2, label='3rd order')\\n\",\n    \"ax.scatter(x, y, label='data points')\\n\",\n    \"\\n\",\n    \"ax.legend(loc=4)\\n\",\n    \"ax.set_xticks(x)\\n\",\n    \"ax.set_ylabel(r\\\"$y$\\\", fontsize=18)\\n\",\n    \"ax.set_xlabel(r\\\"$x$\\\", fontsize=18);\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Runge problem\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 62,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def runge(x):\\n\",\n    \"    return 1/(1 + 25 * x**2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 63,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def runge_interpolate(n):\\n\",\n    \"    x = np.linspace(-1, 1, n + 1)\\n\",\n    \"    p = P.Polynomial.fit(x, runge(x), deg=n)\\n\",\n    \"    return x, p\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 64,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"xx = np.linspace(-1, 1, 250)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 65,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"ax.plot(xx, runge(xx), 'k', lw=2, label=\\\"Runge's function\\\")\\n\",\n    \"\\n\",\n    \"n = 13\\n\",\n    \"x, p = runge_interpolate(n)\\n\",\n    \"ax.plot(x, runge(x), 'ro')\\n\",\n    \"ax.plot(xx, p(xx), 'r', label='interp. order %d' % n)\\n\",\n    \"\\n\",\n    \"n = 14\\n\",\n    \"x, p = runge_interpolate(n)\\n\",\n    \"ax.plot(x, runge(x), 'go')\\n\",\n    \"ax.plot(xx, p(xx), 'g', label='interp. order %d' % n)\\n\",\n    \"\\n\",\n    \"ax.legend(loc=8)\\n\",\n    \"ax.set_xlim(-1.1, 1.1)\\n\",\n    \"ax.set_ylim(-1, 2)\\n\",\n    \"ax.set_xticks([-1, -0.5, 0, 0.5, 1])\\n\",\n    \"ax.set_ylabel(r\\\"$y$\\\", fontsize=18)\\n\",\n    \"ax.set_xlabel(r\\\"$x$\\\", fontsize=18)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch7-polynomial-interpolation-runge.pdf');\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Spline interpolation\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 66,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.linspace(-1, 1, 11)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 67,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y = runge(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 68,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f = interpolate.interp1d(x, y, kind=3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 69,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"xx = np.linspace(-1, 1, 100)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 70,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"ax.plot(xx, runge(xx), 'k', lw=1, label=\\\"Runge's function\\\")\\n\",\n    \"ax.plot(x, y, 'ro', label='sample points')\\n\",\n    \"ax.plot(xx, f(xx), 'r--', lw=2, label='spline order 3')\\n\",\n    \"\\n\",\n    \"ax.legend()\\n\",\n    \"ax.set_ylim(0, 1.1)\\n\",\n    \"ax.set_xticks([-1, -0.5, 0, 0.5, 1])\\n\",\n    \"ax.set_ylabel(r\\\"$y$\\\", fontsize=18)\\n\",\n    \"ax.set_xlabel(r\\\"$x$\\\", fontsize=18)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch7-spline-interpolation-runge.pdf');\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 71,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.array([0, 1, 2, 3, 4, 5, 6, 7])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 72,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y = np.array([3, 4, 3.5, 2, 1, 1.5, 1.25, 0.9])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 73,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"xx = np.linspace(x.min(), x.max(), 100)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 74,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"ax.scatter(x, y)\\n\",\n    \"\\n\",\n    \"for n in [1, 2, 3, 5]:\\n\",\n    \"    f = interpolate.interp1d(x, y, kind=n)\\n\",\n    \"    ax.plot(xx, f(xx), label='order %d' % n)\\n\",\n    \"\\n\",\n    \"ax.legend()\\n\",\n    \"ax.set_ylabel(r\\\"$y$\\\", fontsize=18)\\n\",\n    \"ax.set_xlabel(r\\\"$x$\\\", fontsize=18)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch7-spline-interpolation-orders.pdf');\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Multivariate interpolation\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Regular grid\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 75,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = y = np.linspace(-2, 2, 10)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 76,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def f(x, y):\\n\",\n    \"    return np.exp(-(x + .5)**2 - 2*(y + .5)**2) - np.exp(-(x - .5)**2 - 2*(y - .5)**2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 77,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"X, Y = np.meshgrid(x, y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 78,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# simulate noisy data at fixed grid points X, Y\\n\",\n    \"Z = f(X, Y) + 0.05 * np.random.randn(*X.shape)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 79,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f_interp = interpolate.interp2d(x, y, Z, kind='cubic')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 80,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"xx = yy = np.linspace(x.min(), x.max(), 100)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 81,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ZZi = f_interp(xx, yy)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 82,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"XX, YY = np.meshgrid(xx, yy)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 83,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x500 with 4 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 2, figsize=(12, 5))\\n\",\n    \"\\n\",\n    \"c = axes[0].contourf(XX, YY, f(XX, YY), 15, cmap=plt.cm.RdBu)\\n\",\n    \"axes[0].set_xlabel(r\\\"$x$\\\", fontsize=20)\\n\",\n    \"axes[0].set_ylabel(r\\\"$y$\\\", fontsize=20)\\n\",\n    \"axes[0].set_title(\\\"exact / high sampling\\\")\\n\",\n    \"cb = fig.colorbar(c, ax=axes[0])\\n\",\n    \"cb.set_label(r\\\"$z$\\\", fontsize=20)\\n\",\n    \"\\n\",\n    \"c = axes[1].contourf(XX, YY, ZZi, 15, cmap=plt.cm.RdBu)\\n\",\n    \"axes[1].set_ylim(-2.1, 2.1)\\n\",\n    \"axes[1].set_xlim(-2.1, 2.1)\\n\",\n    \"axes[1].set_xlabel(r\\\"$x$\\\", fontsize=20)\\n\",\n    \"axes[1].set_ylabel(r\\\"$y$\\\", fontsize=20)\\n\",\n    \"axes[1].scatter(X, Y, marker='x', color='k')\\n\",\n    \"axes[1].set_title(\\\"interpolation of noisy data / low sampling\\\")\\n\",\n    \"cb = fig.colorbar(c, ax=axes[1])\\n\",\n    \"cb.set_label(r\\\"$z$\\\", fontsize=20)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch7-multivariate-interpolation-regular-grid.pdf')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 84,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 600x500 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(6, 5))\\n\",\n    \"\\n\",\n    \"c = ax.contourf(XX, YY, ZZi, 15, cmap=plt.cm.RdBu)\\n\",\n    \"ax.set_ylim(-2.1, 2.1)\\n\",\n    \"ax.set_xlim(-2.1, 2.1)\\n\",\n    \"ax.set_xlabel(r\\\"$x$\\\", fontsize=20)\\n\",\n    \"ax.set_ylabel(r\\\"$y$\\\", fontsize=20)\\n\",\n    \"ax.scatter(X, Y, marker='x', color='k')\\n\",\n    \"cb = fig.colorbar(c, ax=ax)\\n\",\n    \"cb.set_label(r\\\"$z$\\\", fontsize=20)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"#fig.savefig('ch7-multivariate-interpolation-regular-grid.pdf')\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Irregular grid\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 85,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"np.random.seed(115925231)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 86,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = y = np.linspace(-1, 1, 100)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 87,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"X, Y = np.meshgrid(x, y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 88,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def f(x, y):\\n\",\n    \"    return np.exp(-x**2 - y**2) * np.cos(4*x) * np.sin(6*y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 89,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"Z = f(X, Y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 90,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"N = 500\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 91,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"xdata = np.random.uniform(-1, 1, N)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 92,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ydata = np.random.uniform(-1, 1, N)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 93,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"zdata = f(xdata, ydata)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 94,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x600 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 6))\\n\",\n    \"c = ax.contourf(X, Y, Z, 15, cmap=plt.cm.RdBu);\\n\",\n    \"ax.scatter(xdata, ydata, marker='.', color='black')\\n\",\n    \"ax.set_ylim(-1,1)\\n\",\n    \"ax.set_xlim(-1,1)\\n\",\n    \"ax.set_xlabel(r\\\"$x$\\\", fontsize=20)\\n\",\n    \"ax.set_ylabel(r\\\"$y$\\\", fontsize=20)\\n\",\n    \"\\n\",\n    \"cb = fig.colorbar(c, ax=ax)\\n\",\n    \"cb.set_label(r\\\"$z$\\\", fontsize=20)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch7-multivariate-interpolation-exact.pdf');\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 95,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def z_interpolate(xdata, ydata, zdata):\\n\",\n    \"    Zi_0 = interpolate.griddata((xdata, ydata), zdata, (X, Y), method='nearest')\\n\",\n    \"    Zi_1 = interpolate.griddata((xdata, ydata), zdata, (X, Y), method='linear')\\n\",\n    \"    Zi_3 = interpolate.griddata((xdata, ydata), zdata, (X, Y), method='cubic')\\n\",\n    \"    return Zi_0, Zi_1, Zi_3\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 96,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x1200 with 9 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(3, 3, figsize=(12, 12), sharex=True, sharey=True)\\n\",\n    \"\\n\",\n    \"n_vec = [50, 150, 500]\\n\",\n    \"\\n\",\n    \"for idx, n in enumerate(n_vec):\\n\",\n    \"    Zi_0, Zi_1, Zi_3 = z_interpolate(xdata[:n], ydata[:n], zdata[:n])\\n\",\n    \"    axes[idx, 0].contourf(X, Y, Zi_0, 15, cmap=plt.cm.RdBu)\\n\",\n    \"    axes[idx, 0].set_ylabel(\\\"%d data points\\\\ny\\\" % n, fontsize=16)\\n\",\n    \"    axes[idx, 0].set_title(\\\"nearest\\\", fontsize=16)\\n\",\n    \"    axes[idx, 1].contourf(X, Y, Zi_1, 15, cmap=plt.cm.RdBu)\\n\",\n    \"    axes[idx, 1].set_title(\\\"linear\\\", fontsize=16)\\n\",\n    \"    axes[idx, 2].contourf(X, Y, Zi_3, 15, cmap=plt.cm.RdBu)\\n\",\n    \"    axes[idx, 2].set_title(\\\"cubic\\\", fontsize=16)\\n\",\n    \"\\n\",\n    \"for m in range(len(n_vec)):\\n\",\n    \"    axes[2, m].set_xlabel(\\\"x\\\", fontsize=16)\\n\",\n    \"    \\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch7-multivariate-interpolation-interp.pdf');\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Versions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 97,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"%reload_ext version_information\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 98,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/json\": {\n       \"Software versions\": [\n        {\n         \"module\": \"Python\",\n         \"version\": \"3.10.12 64bit [Clang 14.0.6 ]\"\n        },\n        {\n         \"module\": \"IPython\",\n         \"version\": \"8.12.0\"\n        },\n        {\n         \"module\": \"OS\",\n         \"version\": \"macOS 10.15.7 x86_64 i386 64bit\"\n        },\n        {\n         \"module\": \"scipy\",\n         \"version\": \"1.7.3\"\n        },\n        {\n         \"module\": \"numpy\",\n         \"version\": \"1.22.3\"\n        },\n        {\n         \"module\": \"matplotlib\",\n         \"version\": \"3.7.1\"\n        }\n       ]\n      },\n      \"text/html\": [\n       \"<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.10.12 64bit [Clang 14.0.6 ]</td></tr><tr><td>IPython</td><td>8.12.0</td></tr><tr><td>OS</td><td>macOS 10.15.7 x86\\\\_64 i386 64bit</td></tr><tr><td>scipy</td><td>1.7.3</td></tr><tr><td>numpy</td><td>1.22.3</td></tr><tr><td>matplotlib</td><td>3.7.1</td></tr><tr><td colspan='2'>Sat Nov 02 18:57:55 2024 JST</td></tr></table>\"\n      ],\n      \"text/latex\": [\n       \"\\\\begin{tabular}{|l|l|}\\\\hline\\n\",\n       \"{\\\\bf Software} & {\\\\bf Version} \\\\\\\\ \\\\hline\\\\hline\\n\",\n       \"Python & 3.10.12 64bit [Clang 14.0.6 ] \\\\\\\\ \\\\hline\\n\",\n       \"IPython & 8.12.0 \\\\\\\\ \\\\hline\\n\",\n       \"OS & macOS 10.15.7 x86\\\\_64 i386 64bit \\\\\\\\ \\\\hline\\n\",\n       \"scipy & 1.7.3 \\\\\\\\ \\\\hline\\n\",\n       \"numpy & 1.22.3 \\\\\\\\ \\\\hline\\n\",\n       \"matplotlib & 3.7.1 \\\\\\\\ \\\\hline\\n\",\n       \"\\\\hline \\\\multicolumn{2}{|l|}{Sat Nov 02 18:57:55 2024 JST} \\\\\\\\ \\\\hline\\n\",\n       \"\\\\end{tabular}\\n\"\n      ],\n      \"text/plain\": [\n       \"Software versions\\n\",\n       \"Python 3.10.12 64bit [Clang 14.0.6 ]\\n\",\n       \"IPython 8.12.0\\n\",\n       \"OS macOS 10.15.7 x86_64 i386 64bit\\n\",\n       \"scipy 1.7.3\\n\",\n       \"numpy 1.22.3\\n\",\n       \"matplotlib 3.7.1\\n\",\n       \"Sat Nov 02 18:57:55 2024 JST\"\n      ]\n     },\n     \"execution_count\": 98,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%version_information scipy, numpy, matplotlib\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"npbook_py310\",\n   \"language\": \"python\",\n   \"name\": \"npbook_py310\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "ch08-code-listing.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Chapter 8: Integration\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%matplotlib inline\\n\",\n    \"import matplotlib.pyplot as plt\\n\",\n    \"import matplotlib as mpl\\n\",\n    \"\\n\",\n    \"mpl.rcParams['mathtext.fontset'] = 'stix'\\n\",\n    \"mpl.rcParams['font.family'] = 'serif'\\n\",\n    \"mpl.rcParams['font.sans-serif'] = 'stix'\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from scipy import integrate\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import sympy\\n\",\n    \"import mpmath\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"sympy.init_printing()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Simpson's rule\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"a, b, X = sympy.symbols(\\\"a, b, x\\\")\\n\",\n    \"f = sympy.Function(\\\"f\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"#x = a, (a+b)/3, 2 * (a+b)/3, b # 3rd order quadrature rule\\n\",\n    \"x = a, (a+b)/2, b # simpson's rule\\n\",\n    \"#x = a, b # trapezoid rule\\n\",\n    \"#x = ((b+a)/2,)  # mid-point rule\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"w = [sympy.symbols(\\\"w_%d\\\" % i) for i in range(len(x))] \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"q_rule = sum([w[i] * f(x[i]) for i in range(len(x))])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle w_{0} f{\\\\left(a \\\\right)} + w_{1} f{\\\\left(\\\\frac{a}{2} + \\\\frac{b}{2} \\\\right)} + w_{2} f{\\\\left(b \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"              ⎛a   b⎞          \\n\",\n       \"w₀⋅f(a) + w₁⋅f⎜─ + ─⎟ + w₂⋅f(b)\\n\",\n       \"              ⎝2   2⎠          \"\n      ]\n     },\n     \"execution_count\": 10,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"q_rule\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"phi = [sympy.Lambda(X, X**n) for n in range(len(x))]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[ \\\\left( x \\\\mapsto 1 \\\\right), \\\\  \\\\left( x \\\\mapsto x \\\\right), \\\\  \\\\left( x \\\\mapsto x^{2} \\\\right)\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡                   2⎤\\n\",\n       \"⎣x ↦ 1, x ↦ x, x ↦ x ⎦\"\n      ]\n     },\n     \"execution_count\": 12,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"phi\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"eqs = [q_rule.subs(f, phi[n]) - sympy.integrate(phi[n](X), (X, a, b)) for n in range(len(phi))]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[ a - b + w_{0} + w_{1} + w_{2}, \\\\  \\\\frac{a^{2}}{2} + a w_{0} - \\\\frac{b^{2}}{2} + b w_{2} + w_{1} \\\\left(\\\\frac{a}{2} + \\\\frac{b}{2}\\\\right), \\\\  \\\\frac{a^{3}}{3} + a^{2} w_{0} - \\\\frac{b^{3}}{3} + b^{2} w_{2} + w_{1} \\\\left(\\\\frac{a}{2} + \\\\frac{b}{2}\\\\right)^{2}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡                       2           2                       3            3                     2⎤\\n\",\n       \"⎢                      a           b              ⎛a   b⎞  a     2      b     2         ⎛a   b⎞ ⎥\\n\",\n       \"⎢a - b + w₀ + w₁ + w₂, ── + a⋅w₀ - ── + b⋅w₂ + w₁⋅⎜─ + ─⎟, ── + a ⋅w₀ - ── + b ⋅w₂ + w₁⋅⎜─ + ─⎟ ⎥\\n\",\n       \"⎣                      2           2              ⎝2   2⎠  3            3               ⎝2   2⎠ ⎦\"\n      ]\n     },\n     \"execution_count\": 14,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"eqs\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"w_sol = sympy.solve(eqs, w)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left\\\\{ w_{0} : - \\\\frac{a}{6} + \\\\frac{b}{6}, \\\\  w_{1} : - \\\\frac{2 a}{3} + \\\\frac{2 b}{3}, \\\\  w_{2} : - \\\\frac{a}{6} + \\\\frac{b}{6}\\\\right\\\\}$\"\n      ],\n      \"text/plain\": [\n       \"⎧      a   b        2⋅a   2⋅b        a   b⎫\\n\",\n       \"⎨w₀: - ─ + ─, w₁: - ─── + ───, w₂: - ─ + ─⎬\\n\",\n       \"⎩      6   6         3     3         6   6⎭\"\n      ]\n     },\n     \"execution_count\": 16,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"w_sol\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{\\\\left(a - b\\\\right) \\\\left(- f{\\\\left(a \\\\right)} - f{\\\\left(b \\\\right)} - 4 f{\\\\left(\\\\frac{a}{2} + \\\\frac{b}{2} \\\\right)}\\\\right)}{6}$\"\n      ],\n      \"text/plain\": [\n       \"        ⎛                  ⎛a   b⎞⎞\\n\",\n       \"(a - b)⋅⎜-f(a) - f(b) - 4⋅f⎜─ + ─⎟⎟\\n\",\n       \"        ⎝                  ⎝2   2⎠⎠\\n\",\n       \"───────────────────────────────────\\n\",\n       \"                 6                 \"\n      ]\n     },\n     \"execution_count\": 17,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"q_rule.subs(w_sol).simplify()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## SciPy `integrate`\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Simple integration example\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def f(x):\\n\",\n    \"    return np.exp(-x**2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"val, err = integrate.quad(f, -1, 1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAJ8AAAAPCAYAAAD6fR2jAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAGoUlEQVRoBe2a25EVNxBAx9QGsKwjADJYcAaQgTERABlA8QV/FGQAGwGPDIAIeGQAjsCwGazP0apljeale5cPu8pd1SNNq9UvtVqauzucnZ0N/+O/IwaPHz8+btcC2iF4taX/F963/DkYKnjy5Mkxr2/A6/RPq6GdulnOfdr77URoLyraEf27rS7er0KPuYf0fX8G/T3tBKA/a4ivoH1paKNXxvV1YiN09T0C/wJ/BX1/A32km3dteggKN8Dv4EPoi3oZ27LzAzzqCxn2hevnzfS5JZPxne1UC/Nm45PHumIE76o/ByhR0Alo8Ayixl4UTOAIYJKV9Xzm5QX95xJpdfBPWpP9W6Zpj4sYyTfQvwftHe1t8K18An1tfQeaRCk5aNUtXgPXYGJjZjbJi25pygQPwaSbVr3y3c5zBvom1mfaW+BcovbY6RqIxsV4qO8p8k5pRwBt0/fM023nSMF5DEdrWI1vxijzrvpj8ulYCiL9B/R1fG/IMubmm+BHjKfEk4H+F/ATXStILLiJdg+6yRaJ9hqaFdOKFDS6Kcnew1cvtsmbElmGOYBfPycAXd1ukBbuQvgAhm4TTVoB5rphnG9SXy4D5x1pPXYaj5LQjYz2tUfmrnYmHdgwGx8Hs489MZJ91Z9LcvwswDAT12Se7FRov4NzSeHuctECfB/JQO5EHjTlqS+OvjQfupXnVnqZeTC2ZqPVsmfxb8L3A1mHjQo3gRXSqpSA/l52xvy5dgeZ3XaGHmSvxUe23hiFyMX2pyYfWu5g/MtWG7RYJMtwC96thuy0rRXism0w0ncBhfq+aBU8ZWySmIlz+TFrY2b3aLyJTKtu2OyQFaTWrW3fVnTXc/e1U71L0CtzFztD11p85OmNUchbbEcfHItcHQMshKW6XqAyy0UCfT8qxH86XuqFubGBee5eF997XZ3Y7lDLuu0d0CR2V04+DqAlgHfRRhkYN/E9Wk12K5tVVZn1FUC+peqoLY5bvQN2spO5ngKRvOr2jlzLU26XTObtYucA/2p8VAxPV4zkFeBf9OenVD4UeMyYYHPHajKCh4sqXwtpwSCOxpB1DBoM74IG/xOYAHosju83ePe+9RyU1+SLSpn4fUDrsVE+FyzupSb9DbBdfEhjYJ5+qKNcA6Dtaqf8r5mnL9qgfj9i3IAJ9pAZU2P+xE4HkNsVn8zbG6NVfy4liy7+aKvSnMR0QW8CaSBOM/P3ehJ8VjUXQUdfgS5Cm1QmaF0NFeHHyQn0euGl99g4VDqsOh5b2vgVekkA3ufAD4CX8EXi1jxddjLX+2rEY6DvZtaGuROlS2ZtRO4v2dkVH2VgV6zDaozgW/XnwsmHAsvqXHCyr+cNfAb1CujPJQ9Ad7W77SMoLFZNeK2azo+fPGKB5ub4JXYIWrESML/XRvkMmJXUO50fLnF0Jd3nEsdP+PTf4yi+2BMD7zvZOZZa3vTxKrKM1XARmcxdsrMrPln/XjFybobiz0FQ9mlzQPy6m0uCicgcuHaBInGTDHisNANte9R57Fp9RJNR/lhcuhOIxbLttdEN4QYpgB1vQXf4VzB01+MuhvaO/CoM/XZ6kT9CztIPym6ogC7fg9kWubN2Qt8lPorqihFyN/25UPJhiIb/hiJLeQ3pXpHpVpByD6qZct8KZdXwzmiA029I9P3iXUsuFyAlWJbTNimZM8+mjfA9BU3SiU5o+mDCH4EFoHn8XKMtiUc/2UQb+nvtNA6jq0dWlHQir96MvTKTCOYu2glD9xoix/XpjdGmPxdKPozxPiKOAPoPCCZUHFkDfQNwAl6hnxaYVsdN1LTbpeexlIzQa9AZIfS5A91dLShLOYkvtzGn8EKfs9F5HnGROIWfjoEvcuDRbpO63Vj6Wd9Du+x0zowsyKnaFr0SgF6Zw5adjOtrK995S/HpjdGmP5eSKx0PjDkEz8BUmTampB3S8Jho7c72yPWiW+9qF3OUVIy7oMqUNxLXgJmkLkQC+vL8AY7++nA+OnnO2ehmmdztkOuR5c8tKSlp9cVqb0z8KSRQWrGR/sBYr51JhnMCmOvXvlA2sS+9MuHrtlO5DczFR5auGMG36c8v/ncERqZAMsHqolKDbEJ8ZKx8vdH33uOCl2OG9wLQTSZlWBUEA++iJRm0JVGgq8eFntt13q3qgBtE/544x6tMZQkeUU/hq5M5DcSDsS0btf0RWG+UkZ3IcAOGjyE6Wr/SJ/c2aJt2wqOfUUn1RRv8+DkN4XW7JZPxfexcjY/6kbsZo8y36s/fII/qcpPKWW0AAAAASUVORK5CYII=\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 1.49364826562485$\"\n      ],\n      \"text/plain\": [\n       \"1.493648265624854\"\n      ]\n     },\n     \"execution_count\": 20,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"val\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 1.65828269518814 \\\\cdot 10^{-14}$\"\n      ],\n      \"text/plain\": [\n       \"1.6582826951881447e-14\"\n      ]\n     },\n     \"execution_count\": 21,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"err\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"val, err = integrate.quadrature(f, -1, 1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 1.493648265645$\"\n      ],\n      \"text/plain\": [\n       \"1.4936482656450039\"\n      ]\n     },\n     \"execution_count\": 23,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"val\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 7.45989714445727 \\\\cdot 10^{-10}$\"\n      ],\n      \"text/plain\": [\n       \"7.459897144457273e-10\"\n      ]\n     },\n     \"execution_count\": 24,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"err\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Extra arguments\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def f(x, a, b, c):\\n\",\n    \"    return a * np.exp(-((x-b)/c)**2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"val, err = integrate.quad(f, -1, 1, args=(1, 2, 3))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 1.27630683510222$\"\n      ],\n      \"text/plain\": [\n       \"1.2763068351022229\"\n      ]\n     },\n     \"execution_count\": 27,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"val\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 1.41698523481695 \\\\cdot 10^{-14}$\"\n      ],\n      \"text/plain\": [\n       \"1.4169852348169507e-14\"\n      ]\n     },\n     \"execution_count\": 28,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"err\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Reshuffle arguments\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from scipy.special import jv\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"val, err = integrate.quad(lambda x: jv(0, x), 0, 5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0.715311917784768$\"\n      ],\n      \"text/plain\": [\n       \"0.7153119177847678\"\n      ]\n     },\n     \"execution_count\": 31,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"val\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 32,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 2.47260738289741 \\\\cdot 10^{-14}$\"\n      ],\n      \"text/plain\": [\n       \"2.47260738289741e-14\"\n      ]\n     },\n     \"execution_count\": 32,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"err\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Infinite limits \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 33,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f = lambda x: np.exp(-x**2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 34,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"val, err = integrate.quad(f, -np.inf, np.inf)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 35,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 1.77245385090552$\"\n      ],\n      \"text/plain\": [\n       \"1.7724538509055159\"\n      ]\n     },\n     \"execution_count\": 35,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"val\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 36,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 1.42026367809449 \\\\cdot 10^{-8}$\"\n      ],\n      \"text/plain\": [\n       \"1.4202636780944923e-08\"\n      ]\n     },\n     \"execution_count\": 36,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"err\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Singularity\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 37,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f = lambda x: 1/np.sqrt(abs(x))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 38,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"a, b = -1, 1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 39,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/var/folders/dw/s8n_0fz93_517nztg9jpvkb80000gn/T/ipykernel_24799/525825373.py:1: RuntimeWarning: divide by zero encountered in double_scalars\\n\",\n      \"  f = lambda x: 1/np.sqrt(abs(x))\\n\",\n      \"/var/folders/dw/s8n_0fz93_517nztg9jpvkb80000gn/T/ipykernel_24799/3799611134.py:1: IntegrationWarning: The maximum number of subdivisions (50) has been achieved.\\n\",\n      \"  If increasing the limit yields no improvement it is advised to analyze \\n\",\n      \"  the integrand in order to determine the difficulties.  If the position of a \\n\",\n      \"  local difficulty can be determined (singularity, discontinuity) one will \\n\",\n      \"  probably gain from splitting up the interval and calling the integrator \\n\",\n      \"  on the subranges.  Perhaps a special-purpose integrator should be used.\\n\",\n      \"  integrate.quad(f, a, b)\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAG8AAAAVCAYAAABIfLDHAAAACXBIWXMAAA7EAAAOxAGVKw4bAAADhUlEQVRoBe2Z7XETMRCGDw8FGOjA6cCQCkg6SNIB0AFMftn/GKeDJBVA0oGTCpjQAaYCwB2Y91GkjIyls04X5HPGO7OWtFpptXq9+rpqsVhUPo9Go4Ff3uWX52dT8xHCpVd5NB6PP6o49ES7bHdmYGDxeRjRM/5JkCqOlOwr/WTLgHgqHojJz1S3p3SJJJtK8EbcF8/EN5J9UJpE0i1iJzaYUvYfw476ILjA4Rp/DHgqMPG3Sl8j9EkyJvdSTHqt8rFfT14y2t8pXQH3X91YWW2L2Nm0/bZ+qv2dfHirdO6WzYkE5xHH5rYOtI/UiAhdIjqS4GZJ2LxQyk5sZKXst7UDTuBVOfBOBMBFzCsrf6cUw5fS7a/RbVNdyk5sjKXsZ9mxOIFXv6efA3nBXlVL0gM4lkyAu6pVblFZyk5siKXst7QDXifP9QMgSUueDHIYIULfK4XXRWuFnvRdpL5SHvosOX+GIKmusZ1gR5nCHPuF/QSvQ5ZNToo/Uv3UIDlJgvy58pxEo6R69kfWZw46Z2JOsgB5K64l6Sbbqe0os7KJfemW9hO8BoDHZP5u6KM7ceYsn7QZyuFa4O142thp6FJQvY39/+knePUB76U4uoSFXNLEf5f8TAwI3D2CpDoi7oWYu0lfzP56GFQOCKWfZCfQ9FFEqfalV9pPVj4TeVmOasAsgXQyUT4aRaoDNI633BWJ8m/iZEq1k9xhQ8VU+4X9NAFH5AEAk5pDblnhlWWF5BB7wU/xlfLHYu6K2GtKtXaadpahX2t/A36arQ7wWD+jkaO6KLAaNMsaEUj7UB9E21fp+adZ/jWGJPf3vjZ2KvUVbe/srUmj7dV3Z/y0PjCHM8BjYPtWGEoAJfrsJcfY++gjRKEJGVpF6jjpOsq2Y4H7o5Sno1zKti+DRfz0HOMZc8o9jyVv5WlME8Ekc8znkFGpTMr9zDyKIvOIZcU8aHsyshg5VRvzoKo8E8TdkPseUflFzJ7IGLLtqP1cbJZ/pfQ3V39JJN2t8dNziLmauIdp7g3sSbEI8tp1N6vxs8dywU8Gr7vehEcm3wiAqdK9nlUhwpI/44S77YSUT1pPFjg7w6xw4HX/MC2HWcr42AeqW0kaO/vOr60cfOKgLT7gZJ4lXeTRnH1rZe9L7LcLary0c3h6ygQ+7tpy/zHWeWuRPXDIOvku3fwMCBMe+NnPH+7JfwFBhFKPBJMzcgAAAABJRU5ErkJggg==\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( \\\\text{NaN}, \\\\  \\\\text{NaN}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(nan, nan)\"\n      ]\n     },\n     \"execution_count\": 39,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"integrate.quad(f, a, b)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 40,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 3.99999999999998, \\\\  5.6843418860808 \\\\cdot 10^{-14}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(3.9999999999999813, 5.684341886080802e-14)\"\n      ]\n     },\n     \"execution_count\": 40,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"integrate.quad(f, a, b, points=[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 41,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 3))\\n\",\n    \"\\n\",\n    \"x = np.linspace(a, b, 10000)\\n\",\n    \"ax.plot(x, f(x), lw=2)\\n\",\n    \"ax.fill_between(x, f(x), color='green', alpha=0.5)\\n\",\n    \"ax.set_xlabel(\\\"$x$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(\\\"$f(x)$\\\", fontsize=18)\\n\",\n    \"ax.set_ylim(0, 25)\\n\",\n    \"ax.set_xlim(-1, 1)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch8-diverging-integrand.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Tabulated integrand\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 42,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f = lambda x: np.sqrt(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 43,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"a, b = 0, 2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 44,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.linspace(a, b, 25)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 45,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y = f(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 46,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 3))\\n\",\n    \"ax.plot(x, y, 'bo')\\n\",\n    \"xx = np.linspace(a, b, 500)\\n\",\n    \"ax.plot(xx, f(xx), 'b-')\\n\",\n    \"ax.fill_between(xx, f(xx), color='green', alpha=0.5)\\n\",\n    \"ax.set_xlabel(r\\\"$x$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(r\\\"$f(x)$\\\", fontsize=18)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch8-tabulated-integrand.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 47,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"val_trapz = integrate.trapz(y, x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 48,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 1.88082171605085$\"\n      ],\n      \"text/plain\": [\n       \"1.8808217160508505\"\n      ]\n     },\n     \"execution_count\": 48,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"val_trapz\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 49,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"val_simps = integrate.simps(y, x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 50,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 1.88366510244871$\"\n      ],\n      \"text/plain\": [\n       \"1.883665102448715\"\n      ]\n     },\n     \"execution_count\": 50,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"val_simps\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 51,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"val_exact = 2.0/3.0 * (b-a)**(3.0/2.0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 52,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 1.88561808316413$\"\n      ],\n      \"text/plain\": [\n       \"1.8856180831641267\"\n      ]\n     },\n     \"execution_count\": 52,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"val_exact\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 53,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0.00479636711327625$\"\n      ],\n      \"text/plain\": [\n       \"0.004796367113276245\"\n      ]\n     },\n     \"execution_count\": 53,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"val_exact - val_trapz\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 54,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAL8AAAAPCAYAAAC1IB5zAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAGjUlEQVRoBeWa7XEWNxCADUMBjlMB0IEJHUAHkFTg0AEZ/vGPgQ6ADgIdABUQ3AGkAsAdOM8ja290d3rv9mzjYSY7o1fSarXf2tOdfe309HTv/wJPnz49pB239jLfZ35A/6XF/+xj9L2FjvdofzM+uQx94fPT++cy7b7ROg3Gz+v8K/1t2nNw6aTI7s/SqQu0h3RvaHcYd4MM/qW0FQ7oj3bQfgBvsscBcCzcOevOfqExsf6quN/ovzkHH/vqUtEvJbvKfcJGffsrTdlvwL+nHwG4TBz0i7JfQj/aXycn4H9pF5iv+TLln5ZnjCvvR/SPAtf2CdmFPEGXthtei3Eckh/CT0h/Rv9WLegNzif6+7TVAwBNan+GDhplv6aZdCafRsyg0inXBHghAb3O+ZfewzLVW342aVzTVm0+oS/AWFke+ocVtcfYZAxflGQFV/wDPitbnqPEYG7y79OKz5XHOOVHSO/SPIzaoU0t+EQoh1f+jFd9WTev+qcVMhlboNRngKzsLF1lnLV7NY4l+RH+J4ynQbByGBSry/0quNtl92+gMxlL8rHnMWOTtQcG1StLSXwJGB/T/mFo8EfJxty1IamZ98BEP2oX2GPV10cGOKppWnbda1JPQTkfaCX5K102DtKNnlgyB1cKBX3wzPrS7Rn/SDcCZBmjGYBPyc7SVQEpu6FdjeP1ytCEGJ3aiv9Ifw/lrB5LkN2fpVuS1a49YDKt7q5ri8l6HrBqfu/YbMXX8SW5GG+R7RVy7dBBUmiycXjnhg7MnjAdmktD4Q8Lk0luuwrI2r0ax0h+Cb91NA+DXF+C7P4s3ZKsstYkZ0/vrxLVwKzymhCY5F/YG7ZPlssB2K/IrGwDZhF5R4u9srA6te8Maf/Ap1R2mQSAk9+zmF9R/wdyX12RrL0Ndq/G8QbM2mDssuFg10J2f5Zul5wpHn4nNNE93XyhFGZr7ClXvLPl8lLvnX2otox3VWgr3F7Q0jud8Qc3kw3te5rJ6tPCp4pXMp8GHoa4nlw0Dj6R/FoTL+pMtwP7F/3TcoTW6057eNvlKxmjQ9du8KtxtPJHAE862kZlWwpMdn+WrqPGTpSJo/FTOKyI6Zp2+GnwhY2xldIXWSvuTmBdfvJqE2uTbHgYjHg3Ua4v8sOhY3xR/8jTdhFI+wd79IcFqHftvIgOW/em7Z7G8XpSUlSzJPmMLLs/SxcCyospRg3JWw2MgxyHt9Cz5perWNtjbOB8PK5VL190X0EfySu/rbKt+oIVX5keqM/wHHRnvgZd/8DDRHxAL99zA/u3+MfPmld23ekZdQ67R3E0+UcJMhES1ajcoSdrMc3uz9IF39Ue403km7SHjB/TrAImgi/qQqYqSXOrOrJsan/AezC8toy+HDFPy4bWq4SJ5Vcj3yfuM4/Hcvncyfwi/lG3Y9qPgJl/qj1rBeNH6DLlmbYbnWdx9M4fd+f9KWfmgduZRNn9WbqODoso+UIwTcwIzKA3dL50+ln0zg6GYeuwDG35YkQ/4h8E4FOyofdQekgHYO9bmk+BzzRfhp27PtOjwQ32SNjAri9PDcnyENkp/0BncfGr1y5dlgVd7mrKbnTtxvFG1cXHpUZNISr/2uM0uz9LN9Vj69z7tNXa5AwQ16uuxUZoR5WTuY69TT8kPuPiI/qlwI9kQ2symyytLkUn+dB8d2j9vCkOlb97RvoXAdt+sv5R1l3keoVo4ZCJT1Dx2tW+H7V0lzLO2g3dzjhG8qtw72XJKukfPmaBm1iQ3Z+lm7DvT6thr1m9GTrSGxwDMa3w3tl7AfHOPTrc0LnfAE/pdWS557LmeFU2dD5ZbSZG79B4OEL+efxj0gq9g322kvtN+Qcb1DX0HTiD/y6ePq5zw9oPGqzajS6LcbyuYhAZ0G/0BrQAY4PyO6282IkURzuljf5ayTy7P0WnrCSY6NOge+XxZWxaCf2kGdehwp55/GVyCBg4eZqE2lr21F6cfKMQbJEt/7jbMzwDePk49nNnORT05/GPcRJCr7PZ9t+UfxbYqkfoskB2aUshq2s3vlyN47X4r06IZfaEFi+3dxn7fy+jJGLuHbX3Apjdn6UrCYgsT7h7TBB1+YgOw1cXxu0TSzqTbFaZwO+B1yFRzQ8Ye3B8CT2hL8DYg23F6IFPweGJwniLbHnqX2UGzHSFZ8o/wQB6bVLnI8blbwaxFj34rC9X/RM8o4e3BcUYhc/0vQe6xGiD7JSOjdxFu5G7Gsf/AATHEEY63t00AAAAAElFTkSuQmCC\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0.00195298071541172$\"\n      ],\n      \"text/plain\": [\n       \"0.001952980715411723\"\n      ]\n     },\n     \"execution_count\": 54,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"val_exact - val_simps\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 55,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.linspace(a, b, 1 + 2**6)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 56,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 65$\"\n      ],\n      \"text/plain\": [\n       \"65\"\n      ]\n     },\n     \"execution_count\": 56,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"len(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 57,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y = f(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 58,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0.000378798422913107$\"\n      ],\n      \"text/plain\": [\n       \"0.00037879842291310695\"\n      ]\n     },\n     \"execution_count\": 58,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"val_exact - integrate.romb(y, dx=(x[1]-x[0]))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 59,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0.000448485554158218$\"\n      ],\n      \"text/plain\": [\n       \"0.0004484855541582178\"\n      ]\n     },\n     \"execution_count\": 59,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"val_exact - integrate.simps(y, dx=x[1]-x[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Higher dimension\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 60,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def f(x):\\n\",\n    \"    return np.exp(-x**2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 61,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"CPU times: user 144 µs, sys: 35 µs, total: 179 µs\\n\",\n      \"Wall time: 183 µs\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 0.882081390762422, \\\\  9.7930706961782 \\\\cdot 10^{-15}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(0.8820813907624215, 9.793070696178202e-15)\"\n      ]\n     },\n     \"execution_count\": 61,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%time integrate.quad(f, a, b)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 62,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def f(x, y):\\n\",\n    \"    return np.exp(-x**2-y**2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 63,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"a, b = 0, 1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 64,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"g = lambda x: 0\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 65,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"h = lambda x: 1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 66,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 0.557746285351034, \\\\  8.29137438153541 \\\\cdot 10^{-15}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(0.5577462853510337, 8.291374381535408e-15)\"\n      ]\n     },\n     \"execution_count\": 66,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"integrate.dblquad(f, a, b, g, h)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 67,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 0.557746285351034, \\\\  8.29137438153541 \\\\cdot 10^{-15}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(0.5577462853510337, 8.291374381535408e-15)\"\n      ]\n     },\n     \"execution_count\": 67,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"integrate.dblquad(lambda x, y: np.exp(-x**2-y**2), 0, 1, lambda x: 0, lambda x: 1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 68,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAk4AAAHqCAYAAADyPMGQAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOz9eXAkeZ7lh338jvvEfeZ9VOVV913V3dXXdPccy51Zzu5qSa1Io0iZSBmXu5LWJNkYzSQtZbNmkkxLiisuJRpnD3KHMzvTM93TR3V1dVV13VfedyKBxBlAIO4Iv3/6wwMBICuzKjMREQCy4pmFeSAAuDscEe7Pv9/3fU8SQgh66KGHHnrooYceevhSyNu9Az300EMPPfTQQw+7BT3i1EMPPfTQQw899HCP6BGnHnrooYceeuihh3tEjzj10EMPPfTQQw893CN6xKmHHnrooYceeujhHtEjTj300EMPPfTQQw/3iB5x6qGHHnrooYceerhH9IhTDz300EMPPfTQwz1C3e4deBjg+z7z8/PE43EkSdru3emhhx566KGHHu4DQggqlQojIyPI8hfXlHrEqQ2Yn59nfHx8u3ejhx566KGHHnrYAm7dusXY2NgX/kyPOLUB8XgcCA54IpFo23qFENQtB8txAVAUmXhI/1I2/FWBEIKG41Gu29i+D4AExEM6iZCGLH91qn+O51MxXWqWS91x8W8LUgppClFNIWKoRHQFuVcZ7aEL8HxB3Xap2x4128Vy/U3flyWI6ipRQyVuqKjKV+fc5vk+pYZDzXJY+7gaikwyYhDSlG3dt50Ez/epNCz85kktpGuEdbXt3Z1yucz4+Hjrev5F6BGnNmDtH5hIJNpGnDzfp9qw0WUNPQwhTSViaL1WYBOm41GoW9iSghHVCQHxsEYipKN8BQiTEALL9alYLmXTwXQAdDB0IgaoskTMUIkZKlFDQe2R7R62CekNzx3Pp2a5VCyXmuXhCYEAqgKqJkQ0hXhIJRHS0NWH/z2bToHr+5QbDpXgQ0wDECikIzq62iNQAKmkoGbaWK4HgKTIxMJGR24A7+Ua2yNOOxC261E1LYQIKiixkI6u9f5VEJx4CzWLhtP8AAHxkEYi/PATprUKW8V0KZsutrf57j2iKcRCAVkKqXKPZPew46ApMqmITiqit97P1SaRMh2fuuNRdzyWKhaGKpNokijjIX4/q7JMJmqQCGmUGg5Vy8F0PBZKDaK6Siqif6UqcXeCJEnEwgaq41IzbRzPp1QziYd1VKX75LJ3Nd5BEEJg2i51O7jzUGSJeNhA6VUL8HyfYt2marmt12KGSjKiP9TVFCEEpuNTMh3KpoPjrffgJAhaHCGVxFeszdHD7ockSUR0lYiuMhAPborKpkvFdKjZHpbrs1y1Wa7a6IpMMhyQqIe1jaUqMtmYQSKsUazb1G2XWvORCGkkw/pXSn5wJ4Q0FVWWg9adEJTqFtGQTqjLhYUecdohEEJQNW3sZinSUBWiIf2hvcu6V/hCUG44lBt2SwcQ1hTSEQPtIS3lCyEw3aB8X7qNLMlSQBgTIY2YoT70VbYevjrQFJlsVCcb1XF9n2qzslq1gurqGokKKlEaiZD6UJIoTZHpj4ewXI9CzcJyfcpmUIlKhnXioa+2ZENVZJLREFXTxnE9aqaN5/ldlbL0iNMOwJr4zWuK36KGhqG1X/y2myCEoGa7FOt267joqkz6IRZO2q5PseFQajib2nBBO1IlGdKIhdSesLuHhx6qvN7S83xBxXQoNYcfgkqUxXI1aOelwhrJsIb2kFVcDVVhMBGm4XgU60F7qlC3qZgO6ahBWFO+stcIWZKIh3QatkvDdjAdF9f3iYeMrlTlesRpm+G4HpU1PZME8ZCB9hUXBG6804JA6JyKGET0h+9E4fmCkulQqjvUm7otWCdLiZBG3FC/8iX6Hr66UGTpC0nUUsViqWIR1RVSYe2hmqhda2eGNYWq5VKq27i+YLliEtIUMlHjoSOM9wpJkogYGqosUTFtXM+nVDeJh42OyxZ6xGkbYdouNcsGenom+LyOSQKSYZ1E+OEqTQshqFouxYZDxXTZ6BywdvKPh7ReG+4BIYTA9dcfnu83l8HD9QW+WHuw/twPnovWemDtK9F8ce1tKCGtP5dARkKWJWQpuBsOHsFzVZZQ5LWlvOlrVZYeqvd2p3E7idp401Gzg8dC2SQe0kiHtYfmZkuSJOIhjaihUqrbzUlaj/linXhII/UV1j/pmkpyk+7JJBbSMTqoe+oRp23Amj+T2fRn0lWF2FdYzyREcBdZbNitC9TDOE0SlNqdoOy+wWjpYW43tBOeL7A9H9v1sTwf2/WwPYHj+Ti+j9t6Lr58ZTsImiKhyTKaIq8/V2UMRUZfWyryV/bCeDcoskQmopOJ6Bva3Da2Jyg1W966IpOOaKTC2kNxLpEliXTUIBbSWtPFFdOhZrmkIjox46sp8WjpnhoWjudTNQOJRyf8ngAkIcTuOsvsQJTLZZLJJKVS6Ut9nHwhWv9cgHCHzLx2C0zHY7W2fjx0JRjNNR4SHdNadalQd6hsmAhUpKCalopoPeuAJjxfYLrBNJXpeliO3/ra9oKq0f1AkTZWetaXiiyh3FYVCqpFwdfBfyKoKEnBU9b+O0EVau35enVqY8VqrZLlCYHvCzwhWhWv9aX/OZPSL4MqSxiqjKEqGKpMqPl8bdmrUK5bdhTrwWDF2jFea32nIzrRh6QKBdCwXVbrFq63rgPNRo2vrP/TVooS93Md71WcuojbReDxr7A/k+cHQsdak0zIEqQjBtGH5I5prbpUaGoS1hDRA2O7xFdU5L02MdhwvM897oUYyRLNSoyCrgaVGE2W1qs1iowmy6iKtOOPry+aFTIvIFJOs2Jmez6Ot1ZVC772BUHrsdmOuhM0RSKsKYRVJVg2Hw+zB9Lt2GhxMOiHKJnBZ9B0AquDsumiKUGlKhXRUXc52QzrKiOa0qrY267PQqnxlW3fSZJENKSjyDI1K5hSLzestovGexWnNuBemKrr+ZQbZlMELpHogoBtJ6Kl76lbrbvBmKGSihi7/o557W43X7MpmxuqS7JEKqyRjmgYX5E7QSEEjhdMRtYcr+lJ42E6Hl90wtlYVdlYUVlrWSlfQU3QmmbL9nws18dyPcy1pRO85n3BaVyWAguPiBbE7UR1hYiuon+Fzj8Nx6NQtyk1NlehkmGNbFR/KCZ1Xd+nUAv8nyCouKajOpGvaEfDcT0qDQtBUFVORL5YQ3w/FacecWoDvuyA265LpdETgduuR75mYTen5QLflt3flvNFoKlYrdmYG7K4IppCJqoTf8irS2vxL1U78NypNrPJ7lZBkiUI3VYVCWsKIU1+qM1MO4U1YmW6Hg3Hx2y6bzecLyaqmiIR1YJInpgeOM4/7MT+yz6ridDuJxkN22W1ZrU+f1/l6TvX81ui8S+bWu8Rpy7jiw54w3aoW4ETuNbBfJ2djGDSIZgEgWAKKfUQGLm5ns9q3Wa15rTu+NfuYjNRnfAuJ4R3g+P5LYJUsQKydDeSFNaaFQ5NJap/9VpH242NrdFas+pXt91NpGEjNEUi3iRRMUMlbjyc0513qw6rskQ2qpOO7O4IJyHWBPLBDbsEJCNB+PlX7bPn+4JKw8JtBsHfbeKuR5y6jDsd8NtFaoamEDW+epNzpuORr5qtC2tEV0lHd3dMiuX65GsWxfp6qvm6bkLb1X/bnWC5XqAPsQL7hI1+U2uQCPRbMUMlpqtEm94zu/ni8zDD80XQPm1mxVWtO/9fIbDISBiBU3c8pD10Lb41Y8lC3WmdpwLNZeBivpsrNY7ns1qzMJv/W70Z6/JVE4/fnswR0TVCt7Uwe8Spy7j9gN/LP+lhhy8ExabLLQT99kzMIKLvXjF83XZZqdlUNtyhhrWg3fgwlPhhve1WMp1mPt7nw4QBQqpM3NCIGQFZimo9k87dDs8PNGkbq4nWHSpTIVUmHtJIhjSSoYenvbfWxsvX7E1/dzKs0beLdVBCCGqWS2GDrjQZDrLvHoZz1r3i9mJGSFM3xbT0iFOXsfGAx+NxKhvsBjptxLUT0XBc8tX16cGYoZKOdMcKv90Iol88lqsW9Q3TTDFDpS+qPxQGe5brUTLdgCzdFveyhqiuBPlgxsNZdejhzrBcj0qz2li+S7UxpMoBiWq6du/298baAMtKzf7cZ74/pu/amz/PD6pPa3+T1qw+PSzE916xUT6z0a6gR5y6jLUDXigUkTSj1UuNh79aJVFfCAo1q+X8rcgS2ahBeBeeaNZOnstVi4YT/D8flikcXwjKpkuhYVNsODRuuxhKQLwZJLwW+dJrufUATbGtFRCpUiOoTN2OiBZYbqTDwXtnN99YNGyPlZq1SQcV1RX6Y7s3AqpmBeJxv3npT4QD64Ld+Lc8KCzHpWoG+i9NkYmHDSqVSo84dRNrxGl6fpFoLB5ceCIGmrJ7L673C8vxWNmgZYoZGumovuuE8IGLeUCY1gS0EpCO6vTtYr2D5XoUG06LLN2u5Y7pSqtq8LAKgntoP1w/8Edaq1beXpFSZIlUSCMd0UmFd281ym4GCxcbTuu1iKbQHzd2paGm54tm9SkghJoi0/cV0z7ZTbsCCEKlhWuRTqV6xKlbWCNOU7MLJJPJroQM7hQIISg2bMrNE4oiS2RjBuFd1p4UzSrMcnU9XHhNINoX3X3RL62pobrNat3+nGmipkikw0FVIBl6OOIoeth+OJ6/iaDfPm0ZN1QyEZ1sZHdWbW3PZ6W6eTAkrAUVqJix+whU3XLJ18zWjVQ6svunne8HjudRqQdeT7VqhcmRoR5x6hbWiNPN+UXGBvu/Mh5NjuuzUjVbmpiorpKJ7i4t01pLLldZrzDJEmSiwUTNbpqQE0JQtb2mRYJF4zZhb9xQAyPO8MMVO9HDzkQrbqhJpG4n7xFNIRsNsuYi2u56Pzqez0rVplC3WwQqoisMxA2iu0ya4Pk++arVatkbqkJf7Ktz87/m9VQqldg7NtwjTt3CRo1TKpXc7t3pOFqhvM2TRkA0QkSN3XXCqFkuS5X1E4YsQTaqk43uHhfzgCwFQtZ8zd4k7JaAVFhrBaHu1jZjDw8HLNdjte6wWrcpmc6m74WaGWt90d1FolzPZ6Vms1pbJ1AxQ2EgHtpVPm4tklsLqi+SBNmoQdTQtnvXugLP91lZLTDU39cjTt3C/ajxdzs8X5Cvmi2yEdIUsjFjV1VmGrbHUsVs3QFLBBWmvtjuqDAJIag7gWh15bbRaVmCdDhohTyMnlI9PBxw1sxj60FLb+NFKKwp9EV1+qLGriEfjhdooAr1dUKYCKn0x4xd1ZIMKmlmK90hajS7CLuEyG4Fvam6LuOrQpzMpgB8zWZgt/XDbddnqWJumpBJRzT6Y7sjjsB0PJabZGnjJJwsQSYSXGhSIW1XtUq7Bb+Znef4Pq4n8HyB14wqWXvu+QJfCIQAQUBQNz6HIGdSIrgj3/hcliQUWUKVJZTm87XlevjwVy9n717g+YJCw2altrn1BcEEW1/UoD9qoKs7/zNquz65qkVpg4g8Hdboj++Ocwx83nVclSX646GHXjjeI05dxsNOnHb7B8nzBctVa1M5PRnWGIjt/JOx5wtW6za5qklpA+GTWBeup8O7Ox7iQSCEwPL8Vsit5XlYrt8Mvw0ejhc87CY52glQ14iULKMrcjPQWL4t2FgmpCroylePaLm+z2rdYaUWkI+N/7V08zObjuz8aV3T8chVLCpNaxZZgr6YQXYXTRrffqOciRrEdrm9xBehR5y6jIeZOLm+T75iYTZd0HdT6VYIQaHukNtgxhnVFYYSoR1dPl/TLeUqQXXJ2/ARTYaCClnmIW/DrRGjmuVRc4LQ4Ibr07A9Gm4QYPsgXEhtVoVUeXNVaO25LEnIEiCBRPM5tC4WQohmBQoEzYqUCCpani9whcDfUMFy/aDS5T3AaVaR+FwQcqSZ/RfV1YeeWDmeT75us1xdJyDQvHGLGQzEdr4Qu267LJbNlhecJksMJEIkd0nSwO3SjIiukI2GHsqqdo84dRkPK3Fq2C4r1WayNJCJGcR2iViwYjosVdatBXRFZiixs++YXM9nuWaxuEGwDmCoMgMxI9BL7JIq373C9QNDxYoVBNAGD5eq7d1TlWitWhNSgorNxgqOrshBi6xZ4dEUadsIf6tV2KyCOb5oVsrWKmReq1Jmuv4d3dtvhyZLRHW1SaQCMhU31IfSsLTheOSqJrmqheOtvy9iusJgPETfDh7oEEJQMl1yZROn+Z4OazJDidCucCFfGwYq1IOOgyJL9MdCGDv45vNB0CNOXcbDRpxub81pikx/PLQrevS267NYNlt3qIok0R8PKjQ7kTCtWQgsVUxWautZUrIE2YjOQCz0UOTg+U1j0XKTJK097hYsu4a1CkvktspLWJMJa8quqHw+CDxftCprwcOn4XjU7aACt1bBuBuiutIiUXFDJWGoxAx11x8vIQSFRlBF3qiHUqSgCjW4g+0AfCHI1+zmzWjwWjKsMbhL9E+W67FSWTc5fthadz3i1GU8TMTJ9wUrG0qzMUMlvQtac74QrFQtVqrrJ9NsVKc/tjPvRD1fsFKzWNww3QdBa2YoHohhd6uPiucLKpZLsekmXTQdKpZ719aaocjEDZWYoWyooKhENGVH/u92AtYCeTdX6QIyant3PtCKBIlmOG8qrJJsxuns9M/23WA3J9kWK+amydK4oTIUD+1YPZHr+SxV1l3IZQn6m/qnnU5CfF+Qr5mtvLvdJN34MvSIU5fxsBAn2/VY3nBHkY0axEI7uzUnRHCRXiybrRJ+VFcYToZ2ZHil5Xoslk0WN+iuJKAvqjMYD+3KbK+G41FoOM3xcoeSuVnUuwZNlkiEVOKG1qqCxA11xwv0dxPWtGEVc72qV24+7tT6lCVakSiZiEYmrGPssv9H0ApzWKxYrDbbSRC834YSIYZ2aLW8YXsslBut6qGhygwndr4fXpCyEPj4QSCD6I+Hdu2N3hp6xKnLeBiIU81yyFcD8zOlOTW3E4nHRljNttxaqLDaPFHuxNZW1XJZKDdY2TDZF1JlhuKhXWOHAOtENd8kSasN+45tI00JMsqC6oZGMqTuKmPDhw1CCGq2R9F0KDYcSs18udsjUSC48cg0jVOzkd3lMm+7PktVk6WK1dKJyRL0Rw2GE2Ei+s46pwWRVQ5LZas1QJAMqQwmdibZ24iG47JSCeJagqnB0K4MdF9Djzh1GbuZOAWTZzaVppNvSFPoi4V2dItkTSuwXGm63LLelttJ0x5reoz5cmOTd1TCUBlJhkmHd6buaiPWzTYDn53l29zJ15AMqaTDa1ULjXCPJO14rJGp1UYg/F1tOJum19YQVuWWIWVfVN8VppRr54j5cmNTKzwd1hhJhHfczZXrC3IVs2WgKUswGA+R3qHazDW4ns9yZT12KxXRSewib7+N6BGnLmO3EifPF6xUzJbVQCKkkYrs7D573XaZL61rGnZiW84XgpWazVyp0dKKrZG7kUSY2A4vxa9pR3JVm5W69bmKktI03MxEdDJhjXS4FxL8sMD2fArNSuJq3abQcD6nTQtMKXUGmkRqJ1dGhBCULZeFUoPVDaaUMV1hNBnZcUMjDcdjobSuMQ1rCiPJnW+fslqzWpX/iK6QjYV2ne6pR5y6jN1InBzPJ1du4PqB1UA2trN7654vyG3QMCjNttxO8kPxfEGuajFfbrSInSJJDMYNhhM7i9xthBCCoumSq1rBtFJjc46YRHCn3hfV6Y8apMLajq5I9tA+uE0D1rWKY9H8/HsjE9EZiOkMxAwSO1ij13ACTVFuw1RbWFMYTYbp20FCciEEq3WHXLMNJhGYZ/bFds4+3gkV02G1ZgG7U/fUI05dxm4jTht704osMbDDXcArpsPCBvF3MqwxlNg5+Xiu77NYtlgoN1o+LaosMZII76j93Ai36aa+UAm8cW6fxIobKgOxgCg97GabPdw7WqaUNZtc1drUBoNAtzcQMxiOh+iL7kxHe9vzWSibLJbNlq7IUGRGkmEGdtAUruP5zJfWNZyGKjOS3NneT6bjsVxpBNcWSaJ/B98w3o6vPHGybZs/+IM/4A//8A+5du0ae/bs+cKff/vtt/n7f//vYxgGlmXxh3/4h7z00kv3vL3dRJw23hUYanBXoOzQi6LnCxbKZiv3SVMkRpI7p9Xl+YL5coP50s4+Aa/B8XwWK8H4dq5qsZErqbJEfzSoGgzEdk+4ag/bi6rtsly1WKra5Guff08NxoJq68AODNC+0w2PJkuMpsIMxXaGO3YwweayUN4QfRLRGUzsXAsAp6l7cjx/V3Qz1nA/1/Gd/9fcJ27evMnf/Jt/k0OHDuF5X2yuBzA9Pc33v/99/vzP/5yvfe1r/OpXv+IHP/gBZ86cYXJysgt73B3cLgKP6irZmLFjy+pVy2Wu2NhgjbBzPJk8X7BYMZkrre/fTiz5w/rd9XzZ3DTRB4G55FDcYCgeIhPRdtR+97A7ENNVYhmVvZloEM9Rt1msmCw0XfvnyiZzZRNZgoGYwUgixFB8Z1RhVVlmLBVmOBHa1GK/uVpnvmQylgpugLbzcyFJEsmwRtRQWSqbFJu2H1XLZTS1M6tPmiIzlAizXDVbeXeOp5PcBcMw94qHruJ07tw5QqEQs7OzfP3rX2dqauoLK07/2X/2n/H222/z/vvvt157+umnefnll/nH//gf39M2d3rFyfdF600MkArrJHbom9jzBUsbpkt0Rd4xJwhfBPs2W2q02oYhVWYiFdlR5nVu8xjOlYOx7I0f8LihMhwPWik7bbJop2BjHp0vRCuXDoILmQTIkoQkBfqT3jH8PNYmShcqJgtla5NDvCJJDMUNRpOhbScmG+GLoH19q9hoTYkZqsx4Kkx/dGfcZFZMh/nSutdeX1SnP75zjuFG3H6zHtFV+nbwzfpXuuJ07NgxAGZnZ+/p51977bXPteWeeuopXnvttbbv23bA9f0gI2kXlE3rdlBlWtPbZCI6g/HttxgQzRPqzO0n1GSY/h1yIlg76c+WTBYr1qZQ2bihMpoIMZII7Zg2Z6fg+SKIJnG8z2XB2WvPPR/XCwJ4g4ffeu754o7mnV8EiUAruB4gLKMqwXNNltBVGUPZkKOnyOiqTEiVgygZVdn293i7IUlSa/LykYHmZFuz+lSzvVYlSpMlhhMhRpMh+rZ5oleWJAbjIfqjBktVk9liUIG6tlJjrmQykQqT2eZ9jIc09usqiyWTkumwUrOpWC5jqfCOm7yTJIlMNPCoW61Z1G2XpbJPfzy8IzoHW8HDfRa9B9y4cYPf+73f2/Ta0NAQN27c2KY9ah8c12ep0sDzxY4W6vlCsFyxWKk1s/FkiZHUztAyFRs2N1frrTtmXZEYS0YY2CF3eRXLZaZY51bR3OSvFNEURpMhRhMhEjvc/f1e4fuCajMAuGIFESM1OyBJG8lStyGgRbwCfLlE4HaE1CB7L9J8RHWFmKES14OMuai+e3P5JEki2TRDPdwfo2i6zJUazJdNTNdnpthgptggrAU3I+Op8LbmzcmyxHAizEAs1GrJNxyPy8tV4obKnnSE+DZ+plRZYiwdJtFQmS8H1iw3VmoMxHdmbEs8pKEqEsvNaJylcoOBXTZxdzu2/8q0zajX6xiGsek1wzCo1+t3/R3LsrAsq/V1uVzu2P49KDZON6iyxGAivCPfqLbrM1ust7yCkmGN4cT2G3DWbJfpQr2VJ6XIEmPJMEPx7d83x/OZL5vMFBubrAN0RWY0GWIsESK1Q1uxXwZfCKqWS8lsZt2ZDmXTpWK71G3vnqpBshRozkKq0qrwGKqMrqxXfIKKkNyqEmmKhCLLqFJwoZfXljTbc81D2WrfEVQifREs16tXm6tYjic2Vbo2Vr9Mx6fueggBputjuv7nrCDWILEe3JsIaaRCQdZcKqTtKmdvSZJIN72/Hh2Mk6/bzJUCDV7D8bmyUuPKSo2+iM5EOszwNn7eFFliNBlmMG4wXzKZLzeoWC5nF8tkIzqT6ci2VnkSYY2wrrQm75YqVlP7FN5x3lphTWUoEW51Pxab5GknT3N/Eb7yxCkSiWwiQRAQo0gkctff+Uf/6B/xn//n/3mnd+2BUbcDuwEB6KrMwA4tjRYbDgultdFVGEmGSYS3tzpiuz4zxTq5avCekIChRIix5PaejNaiGW4W6sxviGeQgMG4wcQOELLeD4QIWmr5uhPEtzTWSJLDXTJqgUAfEzOUTZWYtSpNRFcIawqGIneESHTqMy/rIRQjjBKKoBhh5FAENRRDicRQw8EDRaFqe1Rtj4XK5vOV7zq4tTJOtYhTXsUur+KU8/i2dZct7jxIskJydA/ZPYeJD46xUrdZqdu4do7CzDVWrl/ALK9u6z4akSj7Tz3DyIGjgSVDpcGtS2e4ceYj3G0+1nuPHOPk81+jBpyZzvHRGz9l8dbNrm3/D/7gD770Z3RVYSgZJlcJNKJL5Qb98Z3XYrwXfOWJ0759+1hcXNz02uLiIvv27bvr7/zDf/gP+Xt/7++1vi6Xy4yPj3dsH+8HG+0GwppCX3znObjebjMQ0RVGU2H0bSQmvi+YKzeYaxI5gGxEZyId2dbRfK+5XzdX6xQ3xLbEdIWJVISxVIjQDr9rE0JQtT2Wa1Yr4y5ftzHv0lZTpKaLfSjIuEuGglDgmKESVjtDirYTvm3i2yZOpXDXn1GMSECkInG0WBI1mmwuE8iqhp7MoiezMLq/9TuuWQuIVCkgUlYhh281uvEn3TeE71G8dZ3iretokRjZyUNk9h7GiCboP/Ao/QcepbI8z8q18xTnboLofkvWqte48M7rzFw8zaEnXyA7MsHko48xcuAo1z/7gNnLZ9muWaupS+dYWZznmVe/Ryrbz4u/8de4cuZjzn3wa3z//lvHnYKqyAwmIixXGq22Xd8O1t3eDbtrbzuAV199lXfeeWfTax999BHf/OY37/o7hmF8rr233RBCUGrYLTISM1QyO2QSZCMajsdsYV1k3R8z6I9tX19+bfpnarXW0sfEmjqG7dQGBa3CBjPFekssL0swkgixJx3Z0Tl3tuc3c+0slms2y1WLxh1IkgQkQxqZiEY2ogdEKawR28V6nk7Bs+p4Vh27kNv8DUlCjcQDIhVPoycyaIlMQKpCUdRQlPDA+k2d26hhF5exi8tYhWWc0gpiB11YAZx6lcWLn7B48RNiA6P07TtKanQv8f4R4v0j2I0a+RsXWblxEde8u6SiU6gW8nzy8x+SHZng4JMvEE9nOfLMy4weepTL7/+KwtJ81/cJoFJc5fU/+1ccf+YlDh57jEMnnqB/eIz3XvsRtUppW/bpTlBkiYFEmJVKEC2zUjXxhbGturH7xUNnR7CGN9544452BH/37/5dXNflj/7oj4DAx+nEiRP8xV/8BS+//DJvvfUW3//+9zl79uw9+zhttx3B7WOfyfDO88wI9tFhsRy0EFVZYiwV3tY7jYbjMbVaa+mYdEVmMh2hb5sElmtRC9fzNRar66X/sCazJx1hIhXBUHeWdgGC47hUtVr+PXfS6UgSZMM6fdFg0iob1kjvMkfyndyevx2SoqIlMk0iFVSjtEQaSdp8vIXv45TzmKtLWPlFrNUlhGtv017fHVo4SnbfUfr2HUULBTIK4XsUZm+Qu3yGRnFle3ZMkhg9+AgHHnsWPRQGYOHGFa5+9GusRm179gkYntzHk698GyMUxrEtPvrVz5mbutqx7d1Lq+523J5xlwrrJCN6u3ftnvGVtiOwbZtvf/vbFItFAH7/93+f8fFx/viP/xgA0zRxnPUT++TkJH/5l3/JP/gH/wBd17Esix/96Ee7xvxSCEG+ZlFrvvky0Z3H3H0hmC+Zm6pho6nQtl00PV8wVwracoKg8jGSDDGWjGyLFkwIwULF4tpKbVMWWH9UZ08mwtAOsTxYg+l4zFfMpgu59bn8Mghaif1Rg/6mcWl2l5Gk3Q7hudiF3KYKlaSo6Mk+9FQ/erofPdWHGooGX6f6Yd8xhBA45VWs/CLm6iJWfgHh3lmw3k04jRqL5z9i6cInpMb20nfgGLG+ITITB8lMHKSyNEfuymnKi7e6u2NCMHflPEs3r3HgsWcZO3yM4X2H6B/fw43THzJz4TRiG9qKC9M3eO1P/jnPvPo9+oZGee5bP+DKmY85+/7b27I/d8KaXYEiS5QaDsWGjY8gFd55k4G346GtOHUT21VxEkKwUg38MQCyMYOYsbNIk+363CrUW3qWwW0emV2t20zla1jNVmEqpLE3G90WHZPr+9wqNrieX7c7kCUYT4bZl40S3yF9f18IVmo2s6UGs00H8tuRDmsMxQIX8sG4QWQXCj6/DLup4nSvUEJRjMwgRnYIIzOEFktu+r7wfaxCDnN5FnN5DmebBdobEU71MXDoBOnx/UhNUt4o5cldPkNh5tq2EIR4pp8jz75Cqn8IgGoxz8V336CYW+j6vkBATo499QKHTz0FwPL8LO/94kdYjfa2OB+k4rQR5YZNoRngHg9ppLfBL+srn1XXbWwHcRJCsNzsEQM7UmBXMR1mi41WmPD4NrbmbM9nKl8j3/xw6orM3kxkWwztbM9narXOjdVay4FcUyT2piPszUR2hNeW6XjcahKl+ZLZIpprSIc1hptxLUMxY1dOxtwvHkbidDtkI4yRGSKUHcLIDn+OSHlmHXN5jsbyHOby7I6oRmnhGAMHj5HddxRFC1o9dqNG7vJp8jcu4nvul6yh/Rg5cJSDTzzfat/dunyWax+/i+tsTxt0ZM8Bnvrat9F0g0atynuv/Yh8G7VYWyVOsHmwKWqoZLus0e0Rpy6j28TJb5Im0/GQgP54iPAOiCRZw5rT9nI1OEmENYXx9PaM8wshyFUtpgv1lkHhSCLEeKr7bTnb9bmxWuPG6vq+RDSF/dkI46nwtreyqpbLdLHOdLHxuagWXZEYSYQZa5pqbqdB4Xbhq0CcbocSjhHqHyXcP4bRN4ysrle0he9hrizQWJqhsTSz7RN7iqaT3XeUgYPH0cJRAByzQe7KaVauX8DvMslTdYODTzzP2KFHATDrVS69/ybLM9tjrhxLpnnuW79JMpPF9z1Ov/sm189/1pZ1t4M4AVQth3xT39ntiJYeceoyukmcfCHINcMoJWAgESKk7ZyLmOcLZouNluAvE9EYTGyPJYLpeFzP1yi1go0V9mdjXXckt1yfG/kaNwr1VsJ53FA51BdlJBHa1n5+oWFzszm9l69vvrBkwhrjqTBjiTD9sZ0VXrwd+CoSp02QZYz0YECkBsfRYqnWt4QQ2MVlGovTNBanceuVbdtNSZJJTx5k6OhjGM2KmWs1yF05y/K1c10nUOnBUY4+93WiyRQASzevcen9N7G3YSJQUTWefOVbjO8/DMDNKxf45K3X8L2tTVa2izgB1CyXlaoJBDfd/fHunCN7xKnL6BZx2kSaJBiMhzF2UIvEcn1mVuvYzVy8kWSI1DZMSQRia5OZQh1fNHVDqUjXSYrt+lzL15harbcMKxOGyqH+GMPx7RN8ly2XqdUa1/P1TcJuCRiMGUymw0ykIjtGY7VT8JUnTrdBjSYJD00QHpzESPdv+p5dXKY2f4P6/NT2VaIkiczEAQaPPk4ongLAtUxyV850nUDJisLeE0+x59jjyLKMY5lc/uAtFm5c7to+bMTB449x/JmXkWWZ1dwi7/z0h5hbmAJsJ3ECaNguuUp3yVOPOHUZ3SBOnyNNifCO0MKsoWa53CrU8ZoRLxOZ7TGONF2PaytVyk2zyIShsr8v1tV9cX3B1GqNqyu1VksuGQoI03ZNyNVtj6lC0CZc3iDuliUYTYSYTEcYT4a31eyzE3A8n4bj0XCaSzfItXM8geP52J6P468/d71mjArB0hfry9zSEggRiI6FaD6C58J3wXMRXrBcf+4gHBvhmAjHAsdCuBb4O2OyqV1QQhHCgxOEhyYxskMt2wMhBNbqIvW5GzQWp/GdbXDYliTS4wcYemSdQDlmncULn5C/cbGrIvJYuo9HX/gGiewAAEvT17n47i9xLLNr+7CG/pFxnv3m9zFCYerVCu/89M8p5pcfaF3tJk5wG3nSFfpjnSVPPeLUZXSaOAWkycRyvR1Jmgp1m/nS2t2BzHg60nU9kxCC5ZrFVD6o7sgS7ElHGexiZccXglvFBpeXq60pwoShcmQgxuA2ECbPF0wX61xdqTHf9M+CZoxM3GB/Jspkemd6Q30ZhBBULJey5QaBv2vLtQBgy6XueBuCd3cWhOcgbBNhNRB2HWHVg+dW87lZQ9g70+X7yyDrISLDe4mM7MXIDLZeF75PI3eL2q0rmMtzAfHsKiTSE/sZfvTJVgvPqpaYP/shxdnr3dsLSWLy2OPsP/k0sqJgNepcfPd1lrsYkbKGaCLJC9/5bRLpLK7j8MHrf8X89P0fi04QJ9hMniK6Ql8HyVOPOHUZnSROm4TgO6w9J4RgqWKRb1YwEiGV0VS461oYx/O5nq+xujbOaqgc6GKVSQjBYsXiYq5C1Q60AhFN4XB/jLFk9zVMq3WbKys1rm9wQ4fAF2pfJsreTGRX2AWskaN83aHYcCg0bIpm8LzYcFvtzy/DWuhvWFMIqwohLQj61RQZTZHQm8/1ZtCvsiHoV94Q+PtHf/RHgZMnUlBRkSSQ5GADsoqkqKCsLbX1paYjaQaSZoBmfM6E8q5/v+ciGhX8RgXRqLae+/US2N2vUDwIlHCUyPA+IiN7g0iYJlyzRn32GrVbV7uvh5Jk+vYdYeiRJ1pmmvXVZebOvk81N9e13Yil+zj20reIp4PjMnf1Apc/fAvP6a4GS9MNnv3m9xkcm0QIwbkP3uby6Y/uax2dIk5wO3nqnGC8R5y6jE4RJyEEuQ3TcwOJnROIeLsIfLuiU1brNtdXqji+QCLQMo12kawU6jbnliott2xdkTjUF2My3d2pPcfzubFa5/JKdZPPUkRTONgX5WA2uq0RMl+Gmu2yUrODR91uPbe9u7dRZCkgyWuPmK62Mu3ihkqkSZZ0RWrL+6FtGidFC4iUHkYywkhGZMMjjGREg+UXECzhWPi1In6thGgu/VoRdqDr9xq0WIro+EEiowdQjFDrdTO/QG3mCvXFaehi/IusqPQfOsHg4ZMtG4Py4i3mTr+LWb57bmBb90FW2P/YM0w++hiSJNGolDn39s+77vskSRInn/8aBx49BcDNy+f5+K3XEPfYUu4kcYIguH65SZ6iukq2A+SpR5y6jE4Qp40+TTuNNDleIAI3m5N9o6kwyXB3L8q+L5gq1FhqJsUHBCHWNZ8o0/G4kKsw22xRKpLE/myE/dloV9uUJdPhYq7C1fy6J5QkwUQyzKG+GKPJnRfyXLc9lqrrzuOLFbNVqbsdshR4RqXDOqmwRiqskQ4Fy0RI7erf1lVxuCQjhaJI4ThyONZcxpHCcaRw7K6kym9U8CurzUcev1rYeWRKkgkPjhMdP0Sof7R1AfQsk9qty1SnL+OZ3YsrUfUQg0cfp+/AI8iygvB9Vq5fYOH8R3hd0mSlBoY59uK3CMcTCN9n6uzH3Dj9QddDg/c/cpKTz38NWZbJzd/i3Z/9BY795ceg08QJNpOnTmSx9ohTl9Fu4iSEIF+1qDUdwQd3kOWA5XpMr9ZxPIEiS0ykw0S67OnTcDwu5yott+3hRIjJVAS5CxUezxfcWK1xZbnWahWNJ8McHYh1jdj6QjBbMrmYqzBXXm/ZJAyVw/0xDmyTE/qd4Dd9tGZLJnOlBosVi7J1Z0PCVFijLxLk2a09MmF9W2Jw7oQdM1Uny0iRJHI0hRwNllI0iRyK3fHH/UYFv5zHL+XwSsuIWrG7+/sFUEJRomMHiE4cQg0H+y+ET2Nxhur0Raz8Ytf2RY/GGT3xLKmxfUBgYbBw7iNWpi52RY+lqBqHn3mZ0QNHASgsznH2rZ9h1bubeTc4Nsmz3/wBmq5TWl3hrR//KeaX7EM3iBNstipIhDTSUaNt6+4Rpy6jncTp9sDe/nio68TkbqjbLjOrDTwhgkDcTAS9y8Li5arF9XwVvzm9d7A/RjrcecuDNR3T+aV1wpYOaxwbSpDuUrXNdn0ur1Q3aakgIG6PDMS23RMKgmrkQtlktmwyW2owXzZblbCNyIQ1Bjc4jw/EDfRtMEi9H+wY4nQ3qBpyLIMczyLHM8EjHP/cjwnHwi+v4BVz+KVl/Eo+mA7cTkgS4YFxYnuOEuobab3sVApUbl6kPnsN0aU2XmxglLFTzxFuarIaxTyzn71Ddbl9TttfhME9B3nkua+j6jq22eDcWz8nPz/TlW2vIZnp48Xf+GuEozHq1TJv/fjfUCnePW6nW8QJNjuMpyI6yTad/3vEqctoJ3Eq1m1KjaC0vpOy5yqmw61CEIob1mQm0hHULl7ovOaIf67pKpsIqRzqi3eFuFVtl7ML5dYYf0iVOToQ75rwu257nM+VubRcbZEQXZE53BflyEB8W/2WgmlGm5uFOjcLdWaL5udE24YiM5oMMZoMMRIPMRgP7cpJvh1PnO4EVQ8IVKIfJdmPnOxDUjafU4Tn4BeW8AoLeKsLiMb2mVcCqLEUsckjRMcOtJzKPcukevMC1emL+N2ILZEk+vY9wvCxJ1H1QI9VuHWd2c/ewe2CcWUknuT4K99p2RZMnf2Y65++19XWXSSW4KXv/TXiqQyW2eDXP/lzVu+iveomcYLN2XbtCrbvEacuo13EaeObIR3RSXShknIv2Gg3EDNUxlLhrrZP6rbHleX1Ss9YMsx4Ktxx0uL5gmv5GldXqi0jzf3ZKAf7ol2JRymZDmcXy1zL11ibqk+FNI4NxtmX6S5x3YjAEyogStOFOrXb9EkxXWEsGWY0GWIsGaYv+nC4ju9K4nQ7JAk5lkZODiAn+1GSA0h6aNOP+GYNf3WhRaTwtiePTlI1omMHiO99FDUSVM5816E2c4XK1Pmu6KAU3WD40Sfp2/8IkiTjOTbz5z5g5doFoLOXTllWOPjUC0wcOQFAYWmes2/+DKte7eh2N0I3Qrzw3d8hOziM6zq8/9qPWbhDZEy3iRNAoW5Rbg7ltCOrtUecuox2EKea5bDSrKYkw/q2OG7fCctVi1xTgJ0Ka4x0ebx+pWpxrdma02SJg/1xUl1ojeXrNqfnS62WWH9U5/hwglgX2qYrNZsziyVuFtZ9fAaiOieGE4wnO08Y74TVus21fI1rt3lCQfB/GU+F2ZOOsCcdIRPRtr1l2Ak8FMTpDpBiaZT0MEpmCDk5gCSv6+OE7+MXl/Dys3grcwiru3qbYAclIsN7iO873rI0EL5Pfe465etncWulju9COJll/ImXiGYDX6raao5bH/2KRunu7at2YWByP488/w003cA2G5x962eszt/q+HbXoKgqz37z+wxP7EP4Ph+9+XOmr1zY9DPbQZyEEKzWrNZk90AiRHgLWuAeceoytkqcTMdjqRxcJOMhjXSk+2P9tyOwQrBao+19UZ2BLppJCiGYLtSZb4qfkyGNg32xjrfmHM/nQq7CdJO06IrMsaE4o13QD+XrNp/Ol5gprhOm8WSI40MJhuKhL/jN9kMIwXzZDMhSvsbqbTl2AzGdvU2iNJIMo+4QAXcn8bASp02QFeTUQJNIjSBHk5u+7VdW8fKzuCuziGp3RvY3ItQ/Snz/cULZYSAQktfnblC+ehq3Xu7w1iX69h1l+PjTqLqB8H2WLp9m8cLHHddfhWMJjr/yHZJ9gwjf5+on7zJ9/tOObnMjJEnm8ZdfZe/hYwB89s4bXDu3vv3tIE4QnKdWqhZ120WSYCgRRn9Ac+geceoytkKcHM9nsRRkqnXaGfVeIYRgsWy1DCUH4wZ9sfZNL3wZHM/n6nK1laM2mgwxkYp0/LgsVkzOLJRbrt8TqTCPDMY7LlpebRKm6SZhkoB9mQgnhhNdEb6vQQjBUtXiUq7KpeUqlQ3Tb0HeX5gD2SgHdrgnVKfwlSBOt0EKx1Gyoyh944E+aoMNgl8v4+WmcXM3ER0nLZuhp/qI7z9BZGgSaBKo2euUrp3G67ChphqKMPbYC6Sb03dmpcStj35FdaWz3kuSLHP0mVcYPfQoAAs3rnDhndfxvTtPqXYCJ555iUMnnwTg3Advc+mzD4HtI07QPG8148gUWWIoGX4gKUWPOHUZD0qcPN9nodTA8wW6KjOY6L7r9u0QQrBQMluGjsOJEJlo9y7eNdvlcq6C6frIEhzoi9HXxpHTO8HxfM4ullueTFFd4eRwouPbLTQcPpsvMVVYF5vuy0R4bCRJsovEJF+zuZircGm52vq/Q2Dmub9JlPZmIjsq5qcd8IXAdoOMOtP1sVwfx/Px/I05daL19f/0x38MbM6okwieS74HnovkO0i+C37gv/ZQQTNQMiMofWMomZHAGb0Jv1rAzU3j5aYRZvc0OFoiS/LQKcKDE0DQwqvNXqN87TReo7P7kRyZZOyxF9EjgY1C7soZ5s9+0PHq09jhYxx++iVkWaGcX+b0L3+MWeueoP/o48/w6JPPA3Dh4/e48PG720qcINCjLpbquL5AU2SGkvd/Le0Rpy7jQYiTLwRLpQa256PKEkPJ7jpN3wlCCOZKJqXGeqWnm1qrfM1qCbENVebIQJxohzVFuarFZ/OlVpXpQDbK4f5YR/8XVcvl47ki11fXCdPedIRTI8muWRs0HI8LSxXOLZXJVdenlFQ5IEtHBmKBAL0LIvh2QQhBzfaa8SwOFcul1syvqzbz66q2R812sZyAMHXs5CcE+C6S5yC5NrJrIW14rH0t23Vkpw6es7uIlqKiZMdQByaRM8ObdFFeaRl38TpebjoIPO4C9GQfiUOPER4YAwICVZ25TPnqZ/gdjKeRVY3Rk8/Rty/wXjIrRaY/+CX11VzHtgmQHhzhxCvfRQ9HsM0GZ974CYWl7sXFHDr5JCeeeQmAy6c/4q995+vb3ikJujcNfCEIaQoD8fvr3vSIU5dxv8Rpoyu4LMFQsvuhuHfap9lig7IZnOjGuugGLprhuLOloFWVDKkc6o939Ji4ns/5DVqmqK7w2EiSTAeJouX6nFkocSFXYc3aaDIV7vh21+A3dWNnFytcW6m29kGWAuJ2ZCDOgWy0695c9wPH81mp2eSqFstVK8ixqwdEqdiwse/gGfVlkAiIuqHK6IqMIkutjDpZllCaz29OTwc/3cyoE5IEBJl1QlYRigqy2syzu094TpNENYKlXUM2K8hWFdmuIu3k07Sqo/SPByQqNdhq5wnPxVuexl24jl9a7squ6Kl+koceI9Q/CgRTeJXrZ6ncONfRSlBiaJzxJ19BD0cRwmfp0mkWL3x0z5ElD4JQNMbJr3+PRHYA3/e58uHb3Lp0pmPbux0HHj3FqRe+DkAmojG0A3zkLNdjqRTY5tyvu3iPOHUZ90ucCjWLclO/M7gDolQ2kiYJGEuHu6Zh8X3B1ZUq+aaeajgRYk+6s3qm1brNJ3Ollr3B3kyEowPxjgmcfV9wabnKp/MlrGb22nDc4KmxVMfbgQBl0+HMYplzi5VNuqWBmMHxoThHB+I7xml8DbYbGGnOl00WyibLVZvlmkWh7nxplShuqK1IlpiuEjUU4oZKVFeJGwpRXcVQZUKqgqEGQb/38n67F42TAJCVgEjJGkJREarRevgbn2shhB5BqF/yHhBiE5FSzBJKo4RslpG227jydugh1MF9qMP7kCPrwnK/XsZduI67eAOczgcUG5khUkefRE/1A+A2apQuf0J97lrHtqloOmOPvUBm8hAQGGfefP8XHc29kxWVR577OsP7DwNw69IZLn/wVtf8nvYeOc7jL72KJEmkIxrDO4A8bYxmuR9bnx5x6jLu54BXTYd80/W0L2YQ3WaDy9tJ03g63BYzsXuB4/lcygUXcwnY3xdlINa56TEhBFdWalxeDrQPYU3msZFkx8iLEIJbpQYf3Cq2YkZSIY2nxlIdN89c2/YncyWurdRaZMNQZR4ZiHN8KMFgvHuC/y9CzXaZKTSYL5nMlU3mSybLVeuuBCmkyvTHDAZiOn1Rg3REI93MsUuFtY5VKjslDheSgq+H8bUIQo/g6xF8I4ZnxPCNOCh3aVcLH9msoDSKKI1SsKwXAo3VDoCc6EMd3o8yMNky3RS+h5ebwZ27hF/p/Ch/eHgvqSNPtHyg7FKe4sUPOhrlkhzZw/iTL6MZYXzPZe70e6xcP9+x7QFMPvoYB594HkmSWL41xZk3f4rvdud9MHnwEZ76+ncAyER0hhLdm76+GzZ6Ig7EQ4TvQfLRI05dxr0e8I22A8mwRiqyvRcuIQRzxQalbSBNpuNxYSmYYFMkiSMD8Y62Bk3H4+O5UquyNdYc8+/URbZkOrw3U2hlyYVUmcdHkxzqi3V0AMDxfC4sVfhkvtSykoAgluXkSKJr5p13g9+c2LxZqDO9GhhobtRYbURMVxhJhhhJhBiIGwzEDPqjBjFD2ZYT83ZM1QlAaCF8Ix4QqVAcL5TED6cQ6h3upIVANssotVXUeh6ltopsVbZXP6WoKP2TqCMHUBJ9rZe98gru7GW85ZnORr7ICvE9R0kcOImsBcesPj9F8eIHeB1yAVeNMBNPvkJyJJj6K85OMfPRG3gddD0fmNjPsZe+haKqlFaW+OwXP8Lugss5wH/yD/5hyyQ5E9UZ6qJ1zZ2w0eNJkmA4EUH7EglCjzh1GfdywF0vmKDzhdgRtgNCCOZLJsWmEHy8i+25iulwMVfB9YPMu0cG4x3N41uqWHw6X8T2BIokBUaSqXBHtuV6Pp8tlDm3VMYXoEjw6GCCE8OJjtoalE2HT+ZKnF1ct1PQZIlHBuM8NpqkvwstwTvBb1Y0ry4HDuzThWBs+Hb0R3XGUmFGEiFGmvEscUPd9jvXjdhJdgQBoQrjhVN44WTzkUYY0c/9rOTaKLU8anUZtZJDNkvbRqTkeBZ19DDKwERLUC6sBu7CVZy5K+BYndu2bpA4+BixycNIkozvOpSvfkZl6kLHiFv/gWOMnHwWWVawaxWm3vsF9dWljmwLINk/xKlvfB89FKZRLfPpa39BrdR5v60/+IM/2JQw0W3fvztho03BvQxg9YhTl/FlB9wXgsVSA8fzH3hUsp0QQrBQNik0TQ3HU2ESXRKCb5yci+oKRwcSHRMj+0JwMVflej5wO06EVJ4cTRHrQLabEIKZYoP3bhVaESRjiRDPTqQ7SkhXajYf3CpwMVdpxbIkQyqPjSQ5PpToun5OCMFSxeLqSo2ry1WurdRaRG4NhiIzkQ4zmQkMNCcz4Y5PT7YDO4k43Q2+GsKLZnAjGbxoFi+SBnnze0ByzIBEVZdRKjlku9Z9IqWFUEcOoI4cRDYiQCAmdxdv4N66gOhgnIoWT5M+9hxGJnABdypFCuff7Vj7LpzqY+9z38SIJRG+z/y5D8hdPt2RbUGQc/fYN3+TSCKFY5mc/uWPKSx1NqB4zY5gtWaz0Kyy9zfDu7cTni9YKNXx/C+ftOsRpy7jiw544GxqUrc9ZEliOBnetoyxtf1Zqljkm22c0VS4KxEmAAvlBlPNEfx0WONQf7xjY/912+PjuWLLl2hvOsIjg53ZXtlyeW9mdZMP1LPjaSY6mKc3XzZ5f6bAtfz6BWYiFebJsRR7M5GuEnPb87m2XOP8UpkLixVK5mZtRUiVOdAX5WB/jH3ZCMOJ0Lb7lT0IdgNxuh1CkvBCKbxYH258ADfa9znNlGxVUcsLaKVFlNpydyf4JAmlbwJ1/EirjSeEj5ebwZk5j6gVO7bpyNgBUkeeRDGC6nNt7jrFix/iW40v+c37h6xqTDzxMumJAwCUF28x/f7ruB2yStCMEKe+8X1SA8P4nsf5X7/G4tTVjmwLNhtgrlQtlpoxXd02T74TbNdjsTlpFzc0MnfZnx5x6jK+6ICXGjbFNQfuHTBBtzF7biQZIt2FMfjb7QYG4wb7MtGOkYpc1eLjuSKOJ9BkiVMjSYYT7Red+0JwYanCx/MlPF8gS3BsMMHJ4c5op4QQTBcbvD9T2BTLcqgvytPj6Y78jXdDseFwYanChcUKV1eqOBtsAFRZYl82wsG+GAf6o4wluxsK3SnsRuJ0O4Qk4UUyuLEB3Hg/XiQLGzVvnoNaWUIrLaBWlpDdzrXOboecGkSbeAQlM9J6zV2ZxZ05h1/Od2SbkqqTPPw4sckjSJKE71gUL3xAbbYz03fZvUcYO/U8sqph16tMvfMz6oXOWDXIisKxF7/F4J4DCCG49P6vmL18riPbut0Ac7likat29zrzRdg4aZeNGcTuMJTVI05dxt0OeMNxyZXXBHNG14TXd8PGHvRQwiDbBd2LEIKbq3UWmm/aiVSY0Q4F1QohuJ6vcyEXuOimQhpPjiU7op8qNhzevpkn16zcDccNnp/MdMzxe7bY4K2b+VZVS5bg0cE4T4+nu+IBBVBo2JyeK/PZ3OY8PQgqiI8Mxjk6FOdAX7TjMTXbgYeBON0OISu48UGcxBBuYhihbSDfQqDUVtAKs2ilua6RKCmWRpt4FKV/onWe8PJz2FOnO5aPpyWyZI4/j54Kql6N3CyFs+/gdaBlGEqk2fvctwgl0viey62P32J1+krbt7OGw0+/zMTREwBc/fgdbp77pO3buJNz+GLZbHU2Jro4eHQ3FOs2pYaNBAwlP59p1yNOXcadDvhGMXjUUMnehxFXR/bRdLjVNHvsi+oMdqE6ERCZWuvOY28mwnCiQ6JsX3B6vtSaYhtPhTkxlGh7pcMXgnOLFT6dL+KJQID99HiaQ32dqaAtlE3evrnKzWYsiyJJnBxJ8NRYqiti/lLD4fR8mc/mS9zc4HQuAZPpMI8MJXhkKM7wNgtBu4GHkThthAC8cBo3OYSTGMaPpDd8U6BUl9ELt1BL88he56bD1iCF4wGBGtrbMtV0c9M4N890JhtPkojvfZTkoceQFBXfsSle/JDarfaTGlnVmHz6G6RG9wCQu3qWudPvdUykvv+xZ9h34ikAps58xLVP32vr+u9EnDYOIEnAZDayrVrGILjexHS8O4rFe8Spy7j9gAchuQ1sd2eIwWuWy/RqHQGkwhojHfYQgoBgXF1eN7Y80EGPprrt8cFsoeVFdWwo3hETzULD5q2pVVaaf9NoIsQLezLEOnAyWK5ZvD212tIwyRIcH0rw3GSGeAfE7RthuR6n58p8OFvkxgYPKAnYmw2iYU6MJB6KoF/X86k7Hg3Ho+H4WK6H5wf5dK6/nlXn+oI/+ZM/QRICiWZOnfCbWXUCWbjIvoviB0upc2EuXYOvhXFSYzipMbxoZv0bwket5NBWp9FK8x034ZTCcbQ9x1EG9iBJUqCBWrqJc/NsR3Lx1GiSzMkXMdIDAJgr86ye+XVHsu+GHnmC4UeD0NxKbo6b777WMd3T5KOPcejJFwCYuXSGy++/2bZ13y2rTgjBTKFB1XKDhIJsdFvlKhvF4mFNoX+DWLxHnLqM2w94vmpRtZwdEadiOh5T+Rq+CByVx9OdEyyvwfMFl5crrTuNQ/2xjrUFV2oWH80GVgO6IvPUWIpsm0OJfSE4s1Dms4USvgjCb58ZT3Mg2/4qU8l0eGsqz8VccJKWgEcG4zw/memoiF8IwdRqnfenC5yeL2N76xfDPekwp0aTnBhJdm2Q4EEhhKBkuixXLQp1m5LpUmo4lEyntSybLnU7IEuu35nTn+R7LTKlehaKZzeX1vrXronmNlB8e8fn1Pl6FDs1ipMax4+kWq9Lro1WuIW+ehO5Uezo3yFFU2h7TqD2jwNBHp27cA3n5pkO2BhIxPYeJXn4CWRFxXcdSpc+ojp9qc3bCQwzJ5/+OoqmY9cq3HjnZzSKK23fDsDYoUc58uzXkCSJ+euXuPDrX7TFZfyLQn59IZjO16k3Kz17t7mVbzXF4gDJsN7KY+0Rpy5j4wFXjDArzdbUvTqWdgqO53NjpYbrCyKawmS289NWni+4uFSm3LzDODwQJ32Plvf3i6nVOucWywiCEfynx9Ntjw6pWC6/urHS0jKNJ8O8MJluu27K9nzenynw4a0iXvMjeagvygt7svS1mQhuRNl0+HCmyAczBZY3GGb2R3WemkjzxFhy24Wdt8PzBbmqxWyxwWI5cBlfrtnBsmptEqrfKwxVJqwFESyqLLXy6tQNy6mbN4NcOoKcurWsOiFJ+JKCL6sI+f7fF5LvorkNNLeO5jTQ3Aa6U0N3KmhuY8eRKs+I4aQnsDOTCD3Sel1ulNDzN9EKMx1t5cnxDNreky0RuXAdnOlzuLOX2t7qUiNx0ideJJQdAqCRu8Xq6bfbHhwciqfY+8J3CMVT+J7L9Ae/pDh7o63bWMPQ3kM8+uI3kWWZpZvXOPvmzxBbPG5fRJwg+MxO5WtYro+hyuzNRrd1YGRjgsfadbpHnLqMtQO+slqgJlSE2H5ncM8X3MwHHjqGKrMnG+1YFtvGba6RJkWSODoY70g7RwjBhVyF6/lAczOWDHFyONn2D+KN1RrvTK9iewJNkXi2A1UmIQTnlyq8OZVv+T+NJ8N8bX+WoXhnWptCCG4WGrx1I8+Z+VLL/8lQZE6OJnhmIs2eTGfzAu91P3NVi+nVOrMlk7lig9lig4Wy+YWVIkmCbEQnHdFIhjSS4Y1LlURII6orhDWFsK4QVhXke3jv3FtWnYQvByTKlzQ8RcWTDVzFwFP05tLAVXRcNYSrhL4wFFjyPXSniuFU0e0qhlPBsMqonrnthEoAbmwAJzuJkxxd94vyPbTCDMbKdZRGqWPbl1MDaPsfR4lng802KjjXP8FbmW37tmJ7HiF15AkkRcUz6+RPv4W10l5vJEXTmXzmGySHA7fxudPvkrvSmdDe/vE9nHjlN5AVhaXp65z91U+3RJ6+jDjB5hv5qK4wuc3nmHzVpNq8Vg2nItSqlR5x6ibWiNPlmQWMSAxDlRlMdL4ldjcIIbhVaFCxXBRZYl8XEu89X3AxV6ZsBm/ER4bixDuQw+f5gk/nS8w3ReBH+mMcbLMw2/F83rtV4OpKoC/qj+p8bV9f27VFc6UGr19fYbFpD5EKaXxtf7YjLUAI/q5P50q8fWN9Og9gTybCsxNpTo4mMNTt0R8IIVit29zI17mRr3FjpcaNfK1FJm+HocqMJEMMx0P0r8WxxAz6YzrZiN4Rr7ROiMN9ScZVwjhaGEcN46gRHDWMrcWwtShCvvP/Q3EtQnaJkLX2KKL6nRds3w1C0bDT49iZvZtaeUp1BWP5GmppvmO6L2VwL9q+Uy0jTa+wiH3t47Z7QGnxNNnHXkGLB6L58vWzlC5/0uYql8ToqecYOHgcgOVr55j99B3owLHLjk5w6uvfR1YUFm9e5dybP3vgtt29ECeAhuNxsykd2e5Q4I3G1GFNwRA2qVSqR5y6hTXidHZqjmQiwXAysq0ml2tjoBKwJxvpaJwJgO8LLuYqlEynOSaf6Mjoqe36fHCrwGpTO3VqJNn26JR83eaX11daobwnhxM8Npy8p4rEvaJmu7xxPd+yTdAViWcnMjwxlupIVbDYcHhnapV3p1dbRESVJZ4YS/Hivgyjyc5MOn4R1qJYLi5WuJircHnp88aZa/s5ng4z3rSxGGsu+2J61wcuuj1VJ5Bw1DCWHsPW4puWSJ8/v6hug7C5SsRcJWyuojvddwQXgBfJYPcfwEmNtvZTsuvo+RvoK1OdaeMpKtrEo6jjR5FkBSF83PmrODdOg+e0bTOSrJB65Glik0cAsIvL5D99E7fNU379B48zevI5JEmiNH+Tm+/9At9rf2hv3+gkJ7/+PWRFYeHGZc69/Ro8ACW4V+IEQeTWTGHd0287DTJt12OhqXdSXJPxof4eceoWNhKnvcMDRDs89fRFWK3bLDSrCWOpcEeDcyG4AF7KBUJwWYJHBjszbVWzXd6bCeJMVFni6fEUfW0UnAftvyofzhbwBUQ0hVf2ZttqKimE4PRCmTen8q28thNDCV7cm+nImG6uYvH6tWU+vlVq6abSYY3n92Z4djLd1dFgXwimV+tcWKpwabHCpVzlc9UkWYLxVIR92Qj7+qLsy0YZT22v0/5G7BQ7Al+SsfQEpp7ENIKHrcU+1/JTPCsgUo1VImYe3al2lUj5agi7bx92du+6P5TvoudvYuSuIDvtd+iWQlG0fY+hDgTtLmE1sK99jLc83dbthAcnSJ94EUU38F2Hwtl3qM+3V5OUHN3Lnme+gayo1FZz3Hj7J7gdcDXvH9/Lia99F1lWmL92ifPv/OK+ydP9ECfY7C7ezZzUO6HcsCnUbSqVMsf3jvaIU7ewRpym5pbYMzKwbftRbdoOQHdygnwhuJyrUGiSpqODiY4YQBYaNu/PFLE9n7Aq80yb898cz+etDV5JE6kwL+7JEGpj2ypXtfjZlRwLa1EEMYNvHezviNv3rWKDX1xZ5uxCuVXg35eN8PK+Ph4d6lzMze2omC5nF0p8NlfizHyJ8m0VJUOVOdQf4+hQnCMD8a60lLeCnUKc7gRfUmgYKRqhDPVQBtNIfa7Np7oNovVloo1lIo08imh/BeNOEJKMkxrF7j8YZOcBCD/QQS1dQbEqbd+mnBpEP/Q0ciS4AHqr89hXPmyrfYESipI59XJLOF6dvkThwvvgt691F80Osu+F76AaYaxqmetv/xVWpdi29a9hYGI/x1/5DrIsM3f1Ahfeef2+fv9+idPGvFRZgj3ZaNsHe+5nX5YrJrnVQo84dRNrxKlQLJJKJrdlH2zX58ZKFU8EE2ajHcxJg+DNdqXp0yRLcHQg0ZHqVq5qtSbNkiGVZ8bTbfUBKZkOv7i2TNEMpgCfGkvzyECsbcfO8XzenS60Klm6IvHiniyPjSbb3mq6ka/x2pVlLuXWLw6PDsV59WA/ezKRL/jN9mAtWueTW0U+mytxdaW66cY1pMocHYxzpOkwvicTQZV3LlG6HTuZON0OHxnTSAZEKpyhYWQ2EynhEzFXidaXidVz6G7nQnVbmwS82ADm4GG8ePMGUwi04hxG7lL7heSSjDrxCNrksaB957k4N880p+/addmTSBw8SeLgKSRJwirkyH/8Szyr/uW/eo8wYgn2v/Q9jFgS12pw/a2/6khMy+CeAxx/6dtIsszMxdNc/uCte/7d+yVO0IyQWq1Tsz00WWJfX3TbqsueL1hcWWVssK9HnLqF+xlj7AQ2jnqGNYU9HbYdEEJwI19jqWohAUcGO2M5sFA2+XiuiC+a4/FjqbZ+sGaKDX41tYLjBXYN39jfx0Ab++2zpQY/uZxrBQ0f7Ivy6oH+tovMZwp1fnxxiSvL62aZj40m+UaHKlobsXbye2+6wAfTqy2h+xrGU2FOjiY5OZrkcH9sx7TdHgS7iTjdDl+SaYQyVMP91CIDOFp00/d1u0y8tki8toDhdJ5EuZE01sBh3NRo6zW1OEdo4XzbK1BSOI5+6CmU9DAAfmUV69K7bRWPh/pHyZx6BUU38Mw6K5/8EruQa9v6VT3Evpd+g2hmAM+xuf72T6itLLRt/WsY2neI4y99G4Drn77PjTMf3tPvPQhxguDadWOlhu35RHRlW6d5e3YEXcZ2EifRFNmWTTcIV+2Ldtxwc6ZQbwX2HuqPtVVrtIbZUoNP50oIghy4J8ZSbSODQgg+Wyjz6XxwhzsYM/j6/j4ibapkub7P21OrfDhbBCCmK3zzYD8H+2JtWf8aliomP76Y4+xCIExVJImnJlK8erC/7SagGyGEYCpf5/3pVT6YKbS0ChBE0JwYSXJqLMmp0WRX8hC7hd1MnG6HrUaoRfqphgeoh7ObxOa6XdlAotrvlr0RXiiBNXgYJzUeaLSEQFudJrR4EdlpX9UGQBnah77/cSTNQPheUH2auUi7JtaUSJy+J76BnsggfJ/ihffbapgpqxr7XvgO8YFRfNfhxjs/o7LUfuuF8SPHOfLMKwBcfO9XzF4++6W/86DECcByPG40J+0yEZ3hZPfCyjeiR5y6jO0kTstVi1zF6toE3UK5wVRTR7UvG+2I19B0oc7pJhkYT4Y4OdK+tpbt+bw5lW+F1B7tj/H0eLptup+lqsWPLy2x0jSTPDYY5xsH+to65r9at/nppRwf3SoiCNzFnxhP8Z3DAx0lTPmazds3Vnjzep6F8rqdga7InBpN8vRkmsfGUtumVeg0HibitBGerFGNDFCJDlML920iUYZVJlGdJVGd76jdgReKYw49ul6B8j30/BTG0qX2hgtrIfTDT6P2Be7jXmkZ+9I7iDbFqUiKSubEi0RG9gJQvXWFwrl326Z7kmSFvc9/i+TwJL7ncfO91yjN32zLujdi38mn2H/qGYQQnPnVT8hNX//Cn98KcYLNWaqjyVDLzbub6BGnLmO7iNNGMfhwIkSmgxdNCOJNriwHJ5jxVJjxVPt1M9fzNc4vBaX6PekIx4fibSvdViyX164tU2g4KBI8N5nhUJuqQL4QvD9T4J3p1dZU3ncODXCgL/rlv3yPqNkuP7u8zDs3V/GaBpDHhuJ87+ggQx1qydmuz0e3Cvzq2grnNojNDTUgS89MZjg1mtzW/Kn7gRCCiuVStVxqlkfNdqnZHjXLpWq7mI6P4/mtfDp3Q27dxx9/hCQEcmBz2cytE8jCR8ZD9V1U4aKIYLn2UIS77WaV9wpPVqlGBqlEhqhH+hBS8/8qfGL1HInqLLH6csc8mdxIGnP42LoGynMxlq9i5K4g+e0TsytD+9APPIGk6oH26fonuPNX27b++L5jJI88gSTJWKtLrHz8etvcxiVJZvKZb5Ae34/wfaY/+CWFW9fasu6NOPLMK4wfOY7veXzy2g8pLM7d9We3SpwAchWT5Wpgo7O3r/ti8R5x6jK2gzhtFIN3I7i31HC4sBRcOIfiBnsz7TdpvLJc5VKTmB3IRjnaRpF2rmrx2rVlzKYO7Jv7++hvk56p0LD50cWl1sTcwb4o3z44QERvzwff8wW/nlrlp5eXaDjBneuBvijfPzrIZIdE3zOFOj+/nOOdqVUazrptwNHBOC/v7+PpyfbH22wVQgiKDYe5ksl8qcFK1SZf2/Co2xRqNk6H8unuBkl4GL6N7lvNR/Dc8E1CfoOwV0fdgeTKkzXK0WHK8TFMI9V6XfEsEtV5UuVpdLe97bQ1uLEBzJFH8SJBuLDkNAjNn0MrzLTtOElGBP3IcyjpYCrOW53HvvQewm7PyL/RN0Lf419D1gzceoXlD3+OW22TAF6SmHjyFbJ7DgdDGR+/SX6qzTl6ksSJl7/D4J4DuLbNhz/5U6qFO2fotYM4bQwE3g6xeI84dRndJk6+CMTgptMdMXjddjm7UMYTgmxE51B/+wjNGjaSpna7gd8s1PnVjXxz/zW+eaC/bR5GF3MVfnolh+MJDEXm1YP9bZ3Ku7pc5d+cXWiJrocTIX7r0SEO9befuLq+z0czRX52aWnTZF5fVOfl/X28tD/LYIdiYO4Htuczs1rnxkqNmUKD+VKjSZbMTSTvixBSZaKGSlRXiOoqUUMhZqiENQVFDrLpgoeMqgTPX//lGwiCjLpmrQm/mV3nSQqupOJJKq6stp770r2RS9V3WiQq5DWIeDWiXpWwV0fuUHXnfmBpMUqxUcqxUTx1/T0QredIlaeJNpbbTvwE4CZHMEeO4xtBZVip5QnPfobSKLZtO+roYbR9p5AUFWGbWBffwS+0R3itRpP0PfVNtGgC37FY+egXWKtLbVk3wNhjL9J/4FEApj98g9Wbl9u2bgBZVnjsm79JZngMs1blgx/9MVbj88MD7SBOsFksHjNUJroQSr+GHnHqMrpNnNacwRVJYn9/Z8XgjudzZqGE5frEDZVHBxNtddEGuLpS5WLzQn10INZWEfWFpQrv3SoAgV7qa/v62nK8XN/n9WsrLS3WWDLE948Mts1fqlC3+eH5RU7PB+uP6gq/cXSQZyfTbSfJpYbDL68u89qVHKv1YAJQluDpiTSvHhrg6FC86y7dayibDldyVa6vBDEs11dq3Co2Wq3K2yERuBEPJ0MMxA2yUYNsRCMT1ck2H5mI/kDvgQfROPnI2LKOLRtYstF6bks6lhKmIYexlbuTUUn4RLwqMbdK1KsSdavEvDKquDeC2G4IJGrhfoqJCWrh/pbppubUSJWnSVZm2+4PJSQZu+8A5tARULRAQJ6/SWjhXNtcyKVIAuPoC8jxDEII3OlzODfP0g7huKwZ9D35KkZmEOF55E+/RWNhaus73cToyecZOHQ8qNh8+Aar01fatm4AVdN56nu/SyyVoZzP8eFP/hTf3fw/bhdxAjAdjxsrNQTddRbvEacuo5vEaaOIbiId7ki0yRp8X3B+qUzFcjFUmRPDybaTtBv5GueamqYj/TEO9beHNAkh+HC22Fr34f4Yz020h3QUGw4/vLDIUjWoAj03keb5PZm2rNv1fX55dYXXri7jeAIJeH5Phu8eHWi70/dsscFfnl/knal8KzQ3EVJ59dAArx7qJ9NlgabfzFg8v1DmwmKFC4vlVjTD7YgbKvv6ouzJRBhNhRhJhhlNhhhMhNA7dCPRKXG4h4yphDHlMA0lQkMJU1di1JQYnnyH/7kQRL0qcbdEwimRcEuE/EbXW322GqGYmKQUG8NXgvOQ5Lskq7NkSlNobntdrn01hDlyHCczEbzg2oQWz6Ov3GjP3y7LaPufQBs9BASZd9bFX0MbtEmSrJA59TKR4T0AFC9+SOXGuS2vdw1jp16g/+AxhPC5+d7rFGe/WMx9vwjF4jzzvd9DD0fIzdzg9Bt/tckLq53ECTYnYOztwtAT9IhT19Et4uR4PteXA11TNqp3TBAMAfG4ulJlpVnZOj6cbJtmZw03C3XONCs2h/qiHBmIt2W9ni94cyrPVNMJ/InRJCeGEm0p+V5ZqfKTSzmspov5948OsjfTHgH4zdU6//qzuVZbbl82wl87Ptz2LLnrK1V+eG6BD2eKrdf290X5zpEBnpnMdNzOYg1rfmAfzwSGmRcWy1Stz1dSRpMhDvTH2NcXZX82yr6+KP0xvet+L93PqgNTDlFTYtTUODUlRlWNYymffz9ovk3CLZF0Vknbq4T9eteIlC8plGMjFBJ7sPXmZ1j4JKrzZEo32m5p4EazNEZPtcKElVqe8K1PUMz25MUpA3vQDz+NpGgIq4F18W38Yjs8mSRSjzxFfG/QWqvcvEDx/Ae0yw5h/ImX6dt3FOH7TL3787ZP2yX7h3jiO7+DoqjcPP8pVz/6det77SZOG212NEVif1+s44kHPeLUZXSDOAkhuJmvU3c8QprM3my0o+2TW8U6t4rBXezRwQSpNruC3yo2Wj5K+7MRHhloz/Sc4/m8dm2ZhYqFLMGLe7IcyG6d2Hi+4Fc3Vvh4LtjnkUSI3zzantac6Xj8+OISv55aRRD4Pv3WsWGeGEu2jRwIIbiwWOHPzy1wbmH9AvPURJrffHSIA22q9H0ZVqoWn9wq8nHzUWxsDmANqTKHB+M8OhTnkeEERwfjHc9bvFfsFDsCW9Ipa0nKapKKmqSiJhC3hf4anknKWW09dNG+oNu7QQD1UJbV5D7qkf7W67HaIpnidcJ2+5zBBWD37cMcPha073wfI3cZY+kSktj66L8USWA8+hJyNIUQPs7UGdyZ81vfcSC29xHSjzwDQH3+BvnP3oI27DNITD79NTKTh/B9j6lf/5Ty4q02rHcdQ3sPcvzl7wBw4Z3Xmbt6AWg/cYI1vVMV2xPEDZXxDuud7uc6vn1ptD3cF3JVi7rjtYJQO0ma8jWLW02fo73ZaNtJ00LZbJGmven2kSbL9fnp1RwrNRtVlnh1f19bqjU12+XPzy8y1/QuenIsxct7s225A7qUq/CvP5tvEYinxlP81rGhtrXlhBCcXSjzJ6fnuLrBWfyFvVl+89gwY6n2VrPutP3rKzV+fSPP2zfyTOU3T2GFVJkTo0keH09xYiTJvmxkV7uLdwO6sOmzl+mzg9gNH4mqGqekpinoGcpqCksJsaSMsBQaASGIeWX6rGWy9jIRvzOTcBIQNfNEzTymniSf2k81OtR6RBrL9BWuEraKbdmWsXIDrbRAY+wUbnIEa+goTmqU8MzHqPXVLa1f1MuYH/8E/dBTqEP70fedQkn0Ba07b2sarurUBTyzQfbUS0RG9iGpOvmPX0f4W9WtCaY/fANJVkiP72fv89/m2ps/bqvD+OLUVSKJFPtPPcORZ1+hVipQzLXfwRxAkSXGUhGm8jUqlkuh7nTccude0as4tQGdrjjVbbd1wRlLhTt6B163Xc4slPAFDMdD7G1DtWYj8jWbd2cCr6OJVJiTw+1poZmOx0+v5sjXHQxV5tsH++lvg2v1ctXiT88tULZcDEXmN44MtEW83nA8fnhukfdnAuF6NqLxeydHOTTQvsrP9ZUq/8Mns5xfDHRemizxtYP9/ODRobZZMdwJfrO69fb1Fd6+kWexvG5gKAEHB2I8OZ7i8fEUjwwnOqZJajd2SsXpy+AhU9ZSFLQMBS1DXd3cAg+7NfrsHFl7mZhX6WhLz9KirCb3U46NtIw1Y7VF+gqX2xbtsjZ91xg7hdDCIAT68lVCC+fbUn1ShvahH3wKSVHxq0Wsc28gzK3vu9E3Qt8T30BWNcyVeVY++gVii6QMAElm3/PfJjkyiWtbXP3lDzHLWyOSt+P4y99haO9BrEaN9//iX/O//9/+/baufyPyNYvFcmDyvL8/2lYz4Y3oteq6jE4Sp43lymRY62iFwPV9zi6UaTgeiVAwQdfO0mjJdPj1zVVcXzAUN3iyTTEqDcfjJ1eCTLiQKvMbhwfakp13PV/jLy4u4niCVFjjrx8bbotg+ka+xr/4eJZCw0ECXtyX5XtHBzHU9hCIhbLJ//jpLB9MB6RMlSW+eXiA33x0iHSHBN9CCC4tVfn55RxvXV+hUF9vDRmqzJMTKV7cF/g/7ZTW2/1itxCn22FLOnm9j7zeT1HLbGrrGV6DPjvHoLVA1OtcRp2thllNHaAUG2tFqySrs2QLV9G89hhD+oqGOXoSJzMJgNwoE5n+AMXceotQjmcxjr2CZIQDy4Jzv8Iv39nT6H6gpwfpf/pbAXnKL7Ly4c/bQp4kWeHAy98n1j+M3ahx5fU/w6m3T2smqypPf+/3iKezFHMLfPepRzvWBdkYBhxuylQ60bLrEacuo5PEab7UoFB3Oi6QE0JwebnKat1GV2ROjCTbWgmo2x5v3cxjuT6ZiMZzE5m2/C112+WvruQomS5hTeE3Dg1subUohODjuRJvXF9BEFTGfuuRoS0bPnq+4KeXc/ziyjKCoMr0Nx8fY1+bqnqFus2fnJ7njWvL+IIWKfvdU6MdqzAtVUx+cXmZn1/Ktdq7ENgnPLc3wwv7sjw5sfPMMh8Eu5U4bYQrKaxqfazoAxT07CafqahbYdBaoN9aQhediVextCgr6cNUo4HppOR7pMrTZEvXUfz26LCcxBCN8ceD6pPvEVo4h758bcuVNckIYxz7WmBZ4HvYl9/DW7q55f3VU/0BedIMrEKO5Q9+jnC3fvwVTefg13+bcDKDWS5w5Zd/jme3L74mHE/yzA/+BppuMBQ32JftnE7S8XyuLVeDwPeYwUC8/eezHnHqMjpFnCqm0xrH3pOJEDU6J0mbLTaYKQaTOMeGE8SN9lUFbM/n7ak8Vdsjbqi8uKc9k1tVKyBNFcsNfI4ODWxZrO35gteuLbem/U4MJ/jmgf4tk7zlqsW/+Hi2lZH39ESK3zk23JaoEsv1+Itzi/zl+UVsL2hNPDaW5N9+bIyJdPudxRuOx1vXVvjZpRynm0HMEFSWXtyX5dXD/Tw2luradF638DAQp43wkCnoWXL6EKt633olSvhknFUGrAWy9nJHDDgbRorl9GEa4SwAsueQLV4jXb7ZljgXX9FpTDyBmxwBQC0vEZ75CNndYnVLVtCPPo/aH1giONPncKZOb3V30RJZ+p/5DopuYJdWWH7/Z/jO1kmOFopw6NXfQY/Eqa4scu1Xf9kGLdU6+kYneeybvwkEaQYDsc5NepcaDrMbtLftnvLuEacuoxPEyfV8rq3U8HzRceuBYsPmQtPvaH822lZ3aM8XvDuzymo9aKO9tDfblupD1XL58eUlqrZHTFf4jcODxLdILBuOx5+fX+RWKZgm/Nr+Pp4Y3dpkmxCCD2eK/OnZBWzPJ6zJ/N7JUU6NJre0r2vr/mCmwD//8Bb5enCHeqg/xu8/PsaRwfZYO2zETKHOD88u8LNLOer2+sn31GiSbx0Z4KX92a74rTwIhBAU6w65isVyxaJsOlRNl4rpUF5bNlwatovjC1zPx/UEjufj+ALPExRLReTAL7yZUdfyD0fFQ8VFEy4azUfzeUhYGNho7LxYlTU4ksqyPkjOGKairb83Nd9m0Jpn2Jwj5LenpbYGAdTC/aykD2MZwXlTt6sM5C8QNbfeBhOAnd2LOXoCZBXJtQjPfIxW3rqYWdt7Em3yGADu8gz2xXdgi4REi6fpf+a7KEYIu5Rn+f2ftoU8hRJpDn79t1F1g+LsFFPv/px2WSDAeiCwLMGxoSSxDt7g3yrUKZsuuiKzvy/aVjPmHnHqMjpBnNbeIIYqs6+vc9YDlutxer6E6wsGYgYH2ujaLYTg0/kSsyUTVZZ4cU+mLeP7dcfjx5eWKFsucUPlNw4PENviBbtiufzxmXnydRtdkfjB0SH2b7GFZrkef3x6nk9m120X/tYTY23RXy2UTf6796c526yM9UV1/tYT4zwzmW5r/9/zBR9Mr/JnZxb4+Fax9fpIMsR3jg7yzUP9DHaQ1N8PapbLzGqd6XyN6ZU6i2WTXNlkqWKxXLZa1bjtgiI8DCzCwm4uLaKiTkw0iNJAYXv3bw11OULOGGLJGF53NReCrLPMSGOWpFtoKwEUQCk2xkrmMJ4StGDi1QX6Vy+geVsnDp4Rpz75FH4kDYC+fI3Q/BmkLV76lMG96IefQZIVvNIy1tk3YIstNjWWZOCZ76KEItjFZXLv/xThbr2FGesbZv/L30dWFJYufcb82fe3vM6N+Bv/4X9KoREM5pwcSaLKnak2u77g+nIV1xdkojrDbTz39IhTl9Fu4rTRHXxfB1OihQicwctm0Oo6PpRsK4Nfi1KRgGcn0m3R2Viuz48vL1FoOMR0he8fGdzy6H6hbvOvz8xTtlxiusLvHh/Z8r4uVy3+vx/MsNT0k/rukUG+cbBvywTYdn3+/NwCf3FuAdcXaLLEbx4b5jePDbV12qRmu/zV+SX+/OwCC00bBgl4dk+G3z4xzOPj7RH2Pwgcz+d6rsrFhTI3lmtM5+vczNdYrnz5RTYT1RmIGyTDGrGQSjykEQ+pJJrLqKGiKhKaIqPKwVKRJVRF4p/9s3+GQMJHbi6lVv3JkVRcVBxUHClYuijYkoaJgSN9+Q1DSJjERJ2oaBAXdZKiQpQ629XwFEjk9T4WjDGKeqb1esStMmLOMmAttJXsebJKPnWQQmIPSBKS79JXuNqW9p2QJMzhY9gDgSu4UssTmXpvy607OdkfiMY1A79awDzz+padxtVYkoFnv4dihDDzC6x88PO2tNfS4wfY8+yrANx8/3UKM1e3vM41/B/+j/8nTs+XsDy/Y3mma6iYLjNNc+N2uor3iFOX0U7i5PmCa01G3RfVO3o3v2ZyKUtwciTVVoK2WDH5oFmhOD4Ub4u7tuP5/ORKjuWaTViT+f7hrRtQLlUt/qcz89Qdj3RY4/dOjJDc4jrPL5b5Fx/PYro+CUPl33lqvC0C8PMLZf6bd2+Sa0a9nBxJ8u8+PdHWNm6p4fBnZ+b5N2fmWy7ecUPlu48M8lvHh9t6h3cv8HzB1EqViwsVLi2UubhQ4VquguPd+bSViepMZiNMZCKMpsMMJEIMxg0GEiH648aWdFdb0Th5SJgYmJKBiY4pGTSkEFXC1KTIXYmVLDwSokZSVEmICklRJUr341VqSpSF0BhLxhC+FFyoNN9irDHDkDmHSvt0M6YeZyl7DDPUrBDZZYaXzxJqg4GmkximPvkkKDqS0yBy833UWn5L65SiKUInvoFkhPEbFazTryPMrU2waYksA89+F1nTaSzdYuXj19tikjl87CmGjj6O73lcfeOH1Ffb4YgeGGBWTIdzi2UE7Zd83I7ZYoNSs8LVro5Mjzh1Ge0kTnPFBsWGE/Rw+zvXoiuZDucXgzbPwb5YW6euyqbDWzdX8XzBZDrclrgT1xf8/GqOhYqFrsh8/8jWLQdmiw3+5FygPRqI6fzu8ZEtVa98Ifj5lWV+eik4Ge3JRPifPzW+ZXJXtz3+5ce3eP1qYHiYiWj8O09N8NRE+9py+ZrN//TpHH9xfgHTCU7Q46kwv/vYKK8e6m+LiP1e4PmCa7kKn0wX+Xi6wGe3CtTuEMOSCKscHUpwYDDGnmyUyWyUyWyERAetDjopDrdRqUkRqoSpShEqUpSSFMOTPv9+1IRDRpSCh18iRvfiVVxJZckYZi403op+UX2HEfMWI+YttDYF/AqgHBtjOXMET9FBCDKlG2SLV5G3SCA8PUp973P44SQIn9DsafT81vLupFAM4+Q3kMNxfKuOdeaXiFpxS/uppwfpf+bbyIoaOIx/+ibt0Cbtff7bpEb34ph1Lr/2pziNrdtQrDmHz5UaTBfqyBKcGE52TPPo+j7XlgMNcH9MZ6ANJK1HnLqMdhGnquUyvRqUIPdkI20PdV2D4/mcni9hez79UYODbYzbsF2fN6fy1B2PbETjucmth9/6QvD69RVmig1UWeI3Dg1smehdz9f44YVFXF8wlgzxbx0b3lKrq+F4/MsNZpMv7Mnw28eHttzrPz1X4p+9e7Ml/v7W4QF+//GxtlUHF8sm/8Mns/z0whJOM+h3f1+Uv/3kOC/sa487+pdhJl/nnesrfDJd4LNbRSrm5otvRFc4OpzgyHCcI0MJjg4nGEmFvhJZdTXClKUYJSlGufnwpM3/e13YpEWZrCjS7xcI076R87vBRyJnDDEbnqShBNVURbgMmXOMNWbaZmfgyhq57CNUYqNAIB4fWjmzZfdxISs0xp/ASY8DoOVvEp79dGuGmXqI0IlXkWMphGNhnX1jy15Pof5R+p58FUlWqE5fpnDunS2tD0BWNQ5947cJJ7PUC8tc+eUPt+wdtUachBBcXKpQNB0imsLx4WTHziEbp+z290W3fHPXI05dRjuIk+8Lrq1UcTxBJqIx3OZg1zUIIbicq7DaNIs8OZJq2xvbF4L3pgus1G0imsJLe7NbNnUUQvDWzVWu5WsoEnz74MCW20UXcxV+fGkJX8C+TITfemRoSy2cXMXiv31/muVm1Mvvnhzh6Yn0lvaxbnv8849meONacOIdiBn8B8/v4ZGh9gwfFOo2f/ThLX50fhGvSZgeHYrzt54c5+k2C8xvh+cLzs4WefPqCm9fXebWamPT9yO6wqmJFE9Mpnl8Is3BwXhXCNyXYSfYEfhIlKQYq1KSVSlJQUps8mICiIkaA36eQbFKQlQ7Wo0SwIo+wK3wHmpNh3JZeIyYtxhv3EQV7WnhVSIDLGWP4akhEIJ0aYq+4pUtVZ8EYPcfwhw5BpKEUl8lMvUusrMFjZKqYxz/GkqyH+G5gVFmYfHB1weEh/aQffwVJEmmfP0spUsfbWl9AHokzqFv/jU0I0xh5ho33//Flta3MavO9nxOzxVxfMFg3GB/h/ydhBDcKjSoWC4hTWbfFo0xe1l1uxDLVQvHC8S+7Sg7ftF2VpuO1Yf723tBupyrslK3USSJp8dTbXHC/mS+xLV8DQn4+v6+tpCmH11cQgBHB2L8xuHBLR2Days1/n8fTNNwfFJhjb/71ATj6a2R3otLFf7rX99guWojAd85OsjfODXalnZZw/H4k8/m+B8/maPhBBe1x8dT/O0nxzkx0l6n+I2wXZ93r+d588oyv762QmlDuK8qSzw+meapvRken0hzaCjWsamc3Q4ZQVpUSIsK+5ndRKRWpDQFKUFVilJVotxgAkNYDPirDIg8WVFsu9BcAvrtHH12joKWZSa8l4qWZDa8h0VjhInGFMPm3Ja9oOL1HBHzLXKZo5TjYxRS+6hF+hle/oyQXXngfTeWr6A0itT3PI0XyVA9+A2iN3794G7jro11+hcYx15GyYxgHP9aUHnaAnlqLN6kcFYjc+JFEvuP4zWqVKcvPfD6AOx6hal3fs7BV75PeuIA1ZVFVq63J8RYV2QO9se4sFRhqWKRiehtmSS+HZIkMZwMUVuuYjo+q3WHbJey7HrEaQfAcj3ytaC0PZQMdezu2nI9ppqtwPF0ew01FysmV/NBr/zUSKIttgNXVqqcbo7bv7Anw0Rqa2aOl5erLdJ0fCjBdw71b4kofDpX4l9+MovnC/akw/zdZya35CXl+4J/c3aePz0zjxDQH9P5D1/Yx9E2eDJ5vuAnF5f479+fWfd8GojxHzy/h1NjqS2v/07wheDMrSI/ObfI65dym1pw8ZDKCwf6eOlgH8/sy3bU3PVhxu1EykZlRUqzJGdZkVJYksEtZZhbDKMLm2F/mRGx3PZKlARknDxpJ8+q1sdU5AANNcqN6GHmQ+PsqV+nz85taZuK7zC8coZ4bZHF/uPYepyZkefpz18iVZl+4HWr1RyxK69T2/sCfjhB9eArRKfeQ60+oHDa97DO/gr90RdR+8Yxjr0SkKfi0gPuIdRuXUXWw6SOPEHq0WdwG1XM3OwDrw+gtrLA3On3GHvsBUZPPUe9sNw2sXgqrDMcD7FQMbm+UuPUiNqR8G5NkRmMh1gom+QqJslQZ7ZzO3pnq22GEIKFkokAYoa6ZRPHL9rO9ZUanhDEDJXRNk5H1WyXT+eCO7S9mQijbWgzzpdNfj0dBFOeHE5waIv+UldXqvzlxUUEcGwwvmXS9Ma1FX54PriLPD6c4G8/MbaliJpC3ea/evtGSyP18v4s/85Tk21xx/1gepV/+uubLf3cUMLg33t2D6+0wR7hTpharvLT80v89Pwii6X1tkdfzOAbRwd45VA/J8Y75/XyVYaOy4hYZsRbxkciLyXJSVkW5T5sSWdaGWWaUaKizoi/zLCfI9JGTZQEZJ0VMqU8i8Yw05F9mEqES/HjxNwS+2pXSbpbm46LNXLsmX2Lxb7j1KKD5PoepR7OMLRyFsV/MK2ObNeJXXuD2t7n8GL91Pa/QHjmI/TCrQfbSeFjn38b6djLKNnRoPJ05nX80vKDrQ+oXD+DGokTmzhE9rGvkXv3xzhbDO9dvnaOaN8Q6fH97H3um1z6+Z+0LZZlIh2h0LAxXZ+pQr0t4eh3QjqiUagH21mqWIx2MM91DT3itM2omC4120MChhKdE7zmqhZF00GWgim6dm3H8wUfzQb97HRY49E2VEeKDYfXry8jmhqkx0e25rJ9oykE90XQnvvO4YEH/vt9IfjhuUXevBGMML+4N8PvHB/eEgE5O1/iv3z7Rsvw9H/xzCQv7e974PWtYbFs8l+9dYN3poKTa9xQ+Z89Nc5vHh9uaw4hgOl4vHZhiT/9ZI6LzSohBHqlrx8Z4LvHhnhsIr0jtEpfFcgI+kWRflHkqH+DFSnFvDxATspQkyJcVSa5qkyS9ktM+AsMinzb4lUkBMPWPAPWErPhCWbDE1TVJGeSTzJgzrO3fn1LAnLVtxnNfUwhsYflzBGq0WGm9STDuU8JP6BtgeQ5RK+/TWPiSZz0OI3Jp/G1MEbuyoNVs4SPdf5NjGOvNNt2X8c68wv88oPbHxTOvYMaiRHqG6HvyW+S+/Vf4ln1B14fwMxHvyKcyhKKp9jz9De4/vZfbWl9a1BkiQN9Mc4tllmuWmQjeltC0m/HWstuKl+n2HBIR7SOJxj0iNM2wvcFi01zwWxMb4sm6E4wHY+p1aCNNpGKtNWv6fxSmZLpoisST4xt3RSx4Xj87GoO2wuczF/ck90SyZtarfNn5wPSdLg/xveODD7wPjqez7/8ZJbT8wEx+MEjg3z9QN8D75/nC/7k9Bx/fnYBQTD+/5+8sn/LFTvb8/njT+f4lx/dwnJ9FFni3zoxwt9+arztcQgz+Tr/5tNZfnRmodWKU2SJ5/dn+fajQ7x4sK9rVgY93B0yggFRYMAr4KKwJGWZl/vJSykKcpKCnEQXNmP+IuP+Utsm8xQ8Jps6p+nIPhZDo+RCI+T1fvY0bjBszj2wuaUEZMo3CZsFFgYew9EizIw8R//qpaZp5gOsU/iEpz9AchrYA4ewRo4j9Aih2c8ejDz5Pta5NwPBeHoI48Q3sE7/Ar/ygJUiIVj5+JcMPv99tHiKvqe+Se7dH29pKs53Habe+TmHX/0dEsMTDB59jKWLnz7w+jYiEdIYSYSYL5tcz1eJG53JsIzoKqmwRrHhsFAy2de3NaH4l6E3VdcGPOhU3VLFZKVqoykSB/pjHWmbCCG4sFShZDrEDZVjbfBUWsNcqcHHzRbdsxNpBrZoEeD5gr+6vESuZhM3VH5wZHBLJG+21OCPz8zj+oID2Si/9cjQA1c8TMfjv31/muv5Oook8fuPj/LEFrRBpYbD/+vN662MwFcP9fN3npxA3yJ5Pj1X4v/xy2vcao7pnhxN8h+/vI89bTDgXIMvBO9ez/PHH93i/RvrF4CRVIjfeWyUH5wYId0lkeb9wHQ8FgoNFooNinWbQs2hVLcp1h2KNZtS3aZiuriej+MJbNcPsuo8H8f1MU0zyKqTAr/wtdw6GYEmeeiSi4GLLjUfuBiSQ0SyCUs2irTzTrUmOrfkIWblISyp+T8TgkGRZ8JfICNKbdVCldUE16OHqarBeTLmljlYvUjM25phpCerLPYdpxodDtZbW2Ro+QzKFnylrL4DQc6dJKEW54hMf/DgdgWygnHiGyipAYRjYX76c0T9wVuWSjjG4As/QDHCNBZnWPl4a1NxAJnJQ0w+/XWEEFz71V9QXb73TL+NU3W3w/MFZxZKNByP/qjOwf7252hCM991uYonYDgRInOf56CeHUGX8SDEyfF8ruaqrUpDp4z7clWTayu1truD1x2PN66v4PqCQ31Rjgxs/cPwzvQql5ar6IrEbx4d2pKD93LN4l99Nofl+uzNRPidR4dRH5A0NRyPf/rOTWaKjaCV9vTElryvZgp1/vAXV8nXbUKqzL//3B6e35t94PVB0PL9/7wzxV9dCASomYjG//KFvXxji1qujXB9n9cuLPHfvzPN1EpQwZSA5w5k+euPj/FMl3yfvgg1y+XaYoVrSxVmV+vMrTaYLzSYL9TJV9vjLfRgEIRwiMoWEckmIllEJYukXCcumajS9ubU+UjkpAwz8jCrcqr1esKvsN+/xYBYbRuBEsCCMcp0ZD+urIEQjJozTNZvbCnCRQDF+CTL2SMISUG3K4wufYTuNr70d+8GJzlKffIpkBXU8iKRqXcfnDwpKsbJV1ESfYFJ5ic/RWyhzaan+hl49rtIikrp8ieUr51+4HWtYeLJV8juPYJdr3LpZ3+M59zbZ+aLiBNAxXJauZqPDMZJdWDKDgIj38WyiSJLHOyP3df5qEecuowHIU5rlvERXWFPJtKRsqLt+Xw2V8T1BZPp9oi2IahivTO9Sr7ukA5rvLBn6yaXV5arvN0Ug3/rQD/jWxD4lU2Hf/HpLFXbYyQR4m+cGHng8nDNdvmn79xktmQS1RX+g+f2bGnfPr5V4J+8dQPL9RlOhPh7XzuwZTHjRzMF/vEvrrLSnMz8waND/PvP72lbW852ff7q7AJ/9O40c81KVtRQ+K1To/z1x8cY3aL9woNACMGtfJ2L82WuLla4ulDm6lKFudUvvkhGDZXhVIhMzCAV1UlFNJKR9WU8pKKrMroqoynNhyqjKRL/5J/8E/xmNp0vmkskPGQcoWALFRs1WDafm0KjLnQ8vuiGRRCTTBJSg6TcICHXSUt1IvL2EL0KEWbkYebkgZZHVEzU2OfdYlistI1A2ZLO9eghVoxBAMJejUPVCyTc8pf85hejYSSZH3gCVw2heBYjS58QsQoPvD43NkBt73OgqKiVJSI33kV6UH8qVSf02LeRo0n8Wgnz059tKRg4OnaAzMmXEEKw8tFrW560kxWVw9/6XULx5H35O30ZcQKYytdYqJgYqsypNvoHboQQgmvLNWzPJxvV7yuOqkecuoz7JU5122OqObq/Lxsl3IbJqTvhynKFlVpgRnliJNm2VuBaeK8iSbyyP0tsi0K85arFjy4HhpSPjyQ5tQUxuOl6/KtP51ip22QjOn/z1OgDV9lqtst//c5N5pqk6T96fi8jyQebRhRC8JfnF/kfPplFAI8OJfjfvLJ/S+Sm4Xj8N+/c5Idng5L6aDLE33/1IMe3KKZfg+l4/PCzef75e9OtAN1UWOPffnqC331ijFioexJJ2/W4OFfms+lC67F6lwpSf9zgwFCcyb4oo5kwI+kgt240HSEeVh/4JuVBDTCFaEaqCIO60Kn7BjVhUBUhSn4YmztXVsOSTUaukpUrZOUqSSmIsugWLDSm5RGm5eFW9EtENNjnzTIicm0Tkq9qWa5Gj2ArgbnleOMmE42pLa3fUQzmBp/EMoJYlaGVsySrcw+8PjfaR23fC6CoKJUc0al3kB4weFcyIhiPfRs5FMUr5rDO/AL8B6+0pY89S2zyKL5jsfT2X+LWt0Y8I+l+Dn3jd5Bk+Z7DgO+FOHm+4NO5IrbnM5IIsacN+aV3QsV0mCkEeY4H+mP3LH/oGWDuYAghWGoKwpNhrWOkqVC3WxWI/X3t00+VTIdLuUCPcGwovmXSZDoer99YwRcwkQpzcvjBnbFdX/Bn5xZZqdvEdIXfPT78wKSpagWkab5sEjMC0vSg5puu5/PfvjfNr64HLuCvHurn3316Ykvj+BcWy/zffn6Fuea4/28fH+bff35PW1qxtuvzZ5/O8d/9eopCPTCq7IsZ/K1nJ/idU6Mde89uhOcLzs8WefvyMh9cz3N+toTtbr64aIrMoeE4h4cTHBiKc7D52Gn6KkkCAxdDcslQY2PxSQiwUCn5Ecp+mJKIUPLDlEWEhtCZ8zLMeRkgEFpn5Br9cpkhpURSqtPJ1BkDh0P+NHv92SaBGqEuhTmnHuSaGOeAN8Oo2Jo3EwT+T4+X3ud69DDLxhC3Insp6FkOVS8Q9R4sR03zLCYW3mWh/yTV6DCL/SextRh9hcsPtL9qbYXojbep7XsBLz5Abe/zD0yehFXHOvtLQo99GyU1gH7keewLbz/AXgUonP8ALZ7ByAySfeLr5N750ZbE4vXCMgsXPmLk2NOMP/4C1ZUFnPrWNGgQDI3sy0a5lKswXzbpixptH1aBwNYnqivUbI+lisl4emv+f3dCjzh1GWXTpe54SBIMxtsXrLsRni+40ZyiG06E2uYN5fmCT+ZKCGAobjCxxRaTLwRv3MhTsz0ShsrLW5igE0Lwk8tL3Co10BWJv3585IFNOKuWy//7nSkWyhZxQ+U/en7PfZV8N6Jiuvzff3WNS0sVJAn+zpMTfOfIg9shuJ7PH314i3/18S18AX1Rnb//6kGe3GLECzRDii8s8U/fuM5Ck5ANJ0P8necm+f6JkS0L178Mq1WLX19e5u0ry7x7dYVS3dn0/XRU5+REilN70pyaTPPIaBJjl0/sSRKEcAkpZQaV9UqBK2QKfpS8HyPvx1j1YzioLPsJlv0EF9wxDGwGlTJDcpEBpYwutSfe5HZoeBzwb7HHn+OWPMyUPIophTinHuKmGOWQd5N+UdgSgdKEy5HqebL2MteiR6iqCT5NPsWe+nVGzVsPtG5Z+IzkPmUlXWM1dYDV1H5sLcrw8mnkB2i1qbU80etvU9v/YkCe9r1A9MavH4w81UrBtN2Jr6MOTCKsGs71B5xkEz4rn/ySoRd/Cz2RIX38eVY/e/PB1tXE0qXPSAxNEOsbYvKpr3PtV39JOwKGMxGdbEQnX7e5nq9yYjjZdpmKJEkMJUJcX6lRNl1qttv23NceceoihBDkKsEFqS9qdGQsE4JpMsv10RV5y27bG3F5uUrFcjEUmZNteMOfWSgzXzFRZYlXD/Rt6cL87kyBi7kqsgS//cjwA0/4NRyPf/ruTRbKFglD5T96Ye8DE9zlqsV/8doVFsomYU3mP355P6dGUw+0LgimMP/PP7nMxQ2TeP/rl/cTb0PL7Mxskf/na1e50LRayEZ1/r2X9vKbJ0c66sSbK5v89PQCPz+7wJlbRTYKB+IhlecO9vHcwX4e35tmssMjxjsJquTTr1ToV4L/tRBQFmFW/Bg5L0nOT2ChM+P1MeP1ITmCrFxhTFllVClgSFsLbb3jPuGz159jwl9gRh7mhjxGVYryifooWb/AEW+KOFvzFOq3cyScIldjRynofUxFD1HUshyunkcTzpev4DZIQH/hCrpdZan/ONXoELfUEKOLH6H6968tUuurRK+/RW3/S4FR5t7nA/L0AIJxv7iEfek9jEdeQBt/BL9Wxlu8ft/rAfCtBvlP36D/me8SHd2PtbJAbfbLW2x3hRBMf/BLjnzrrxMfGKH/wKMsXzv34OvbgL2ZKEXToWZ7LFasLcdo3QkhTWkaYzoslS32ZpW2njt6xKmLKDQcbE+gyFLHMnVMx2O+FAhk92YibRPgFRsO15u6rJMjiS17TuWqFp/OB+O4z02kt5RldHWlyq9vNoXlBwfYk3kwsmi5Pv/Ne9PMlYL23P/qhb0MPCBpmi81+L/+/HKQnxTR+d998xBjW6jQfXKryP/lp5comS5RXeE//foBvnaw/4HXt4aFYoP/8pfX+MXFIGohrCn8necm+f2nJzrWkivVbV47t8hffbbAR1P5TWTp8HCCl4/088Lhfo6Pp7oSn7AbIEmQbIrH96vLeEIi78dY8pMseikqIsyKn2DFT3DamWBALjOurDKsFNDaPLGnNAnUmL/IDXmcm/IIeTnNr6UUY2KJg940BvdPctZgCJtHK6dZNEa5ET1IQc/yafIpjlbOEvceLJcuWZtHd+vMDj6JaaS4NfwMY4sfoHn371el1gvr5Ck+QH3PM0Sm3nsgPyovdxM7/P9n77zj7DjL6/+dmdvv7t7tvWm10q66ZFX3Cu6mBzDG1CQk2IFQAqYESAIESEIC/CAkNJsQigFjcImxjXtT72VVtvd2e5vy/v6Ye1eykc2+c+/axuh8PvpIlvW+M7t7Z+bMec5znhI8i9bgWbqRTDKKFXWWLp6ZGSfSs5Py7g2Ur9hMZnYcI+Hc75RNRBne+zSt6y+gYdUmIiN9ZItQsvO47Bf63pkEg+Ek1UHPgogINSVewkmdlG4SzxiUFmEMWB6vSOJ0xx138PnPfx6/34+qqnzzm99kxYoVp/23P/jBD/jnf/5n6uvrn/X39957L35/8bqFLCHmDLY1JZ4Fa9vum00igJDPVbSUVksIdo/YJbrGMh/1BQ4hzhoWD5+YQmAng3cWkDE0mchw92G7Bf+sphCrHXqkDMviB9sG6JtJ4nervO9s56SpfybJFx84QjRt0BjycctlXY6JshCCn+4c5ntP92EJWFpTwt9f2e24dJiHblr87zMDfO/xXrKGhQJcu7aRv7igg6oC87hOh6xh8tDBCe7ZNczjPZMY5smHzNq2Cq5c28DFy+uoK1Ln5ysdmiKo1WLUajFWuYdIWF6GzQqGzErCIsi4Vc64VY6mm9RrEVq1KerVSFE9UW5Muqw+WqxRerR2xtQahpR6xpRqllp9tFhjjst3CtCQGabMCHOodDUpLcCe0Ho6E0eoz8w/X+hU+DNhWkefYqh+E1lPKYMNZ9M89oyjuAJXcpZg75MkOs7DCDWSal2Pf2C7o6/X6N+PGizHVduGd+X5pHf8n+OYgtjxffiqG/FVN1K17iLGn7yrIOP59IlDVLR2UlrTSMv6Czj+2D2O9zoV9aVexmNpkrrJYDhFRxFz5vJwayqVQQ/TiSzjsQwlXueNIc/FK444bd26lRtvvJHt27fT1dXFbbfdxuWXX86hQ4coLT191tDHP/5x3vnOdy7oec0msxiWwK0qVCxA7DzYoYozuQGu7ZXFK2scn04QzRi4NYVV9YXlNQkheGJghnjWpMSjcU5bpePzTOkmd+wfRTcFreV+LupwNqbEEoKf7BrmyISdIfXnW9odd8/1TMb58oM9JLMm7ZUBPn7ZUsdeq0TW4CsPHOXx3HiXy5fV8oELOwsPyRwM8+V7D3Mil8W0vq2CD1y2hCVFGJfzXAzNJPnF1gHu2DbEbOJkaWRpfSlXrm3kijWNNL4EcQavNATVDEvVMZa6x4hZPgbNSobMKuLCN2cw9ysZ2rVJ2l1T+BXnitBzESDDWvMIs9YIh9QOomopB7VOhpVaVprHCirfBc0EayNbOVKyghlPDUdLlhNzhVicOOKo686rJ2gdfZrB+k3o7uAcefLq8iZ0V3yKQO/TJDvORq9sQzEy+Ef2Se8DkD38FGqgDLWkAs/KC8jsuh8cdu1N736U+gteiydURahrPZFD2xztk8fg9kfpfvUbKatvobJtKTP9PQXtB7YPqb0yyMHxKGOxNPWl3gUZk1Jd4mE2mSVjWETTBqEi5SW+4nTwL33pS1x11VV0dXUBcMMNN2AYBrfeeutLdk6mJZjMtU7XlHoXLCE8P1alrtRbNDNcLGNwZDLXRVdXhtdVWPnm2HSC3pkkCnBRR7XjmWmWEPzm4BiRtEHI53KcCi5ys+d2DkVQFXjHxlbHpb79o1G+eP8RklmTpTUlfPLVXY5JU/9Mkptv38PjJ6ZxqQofvGgxH7lkSUGkKZrS+ed7DvG+H+7gxFSCioCbz163gq9fv66opMm0BA8fHOf939/GNV95mO89fILZRJaaMi/vvXgxv/jb87n9g+fz7osWnyFNC4BSNc1y9wiv8u7jYu8BOrUxPOikhJdDRjP/l17NM5nFTJilFDOMpkLEONvcwzLzOJowiKhlPOlaxxG1HaOAR41LmCyP7aUteRyEYMzXxN6y9WRUZ8qo20jROvo0nmwMw+VjsGELaY8zpdodG8M/sAPAHtFSs8TRPlgmmf2PILJptNIqPF2bne2D7Xea2WN36ZV1rMRX3eh4L4BMPMLoge0ANK09G5e3ONdsud9NZY7I9M0kWYhkJJeqUhW0PycTsUzRjvGKI04PPvggGzdunPtvVVVZv349DzzwwEt2TjPJLKYl8Ggq5QuUED4ez5DUTTRVKZohXAjBnpEIloDaEg/NDlWYPKJpnacG7CC6dY2hgka0PNY7TX84hVtVeN0K57EDDx+fnhvY+5Z1zSxzSCB2DYX5yoM9ZAyLVQ1lfPyypY7J6xMnprnp9j0MzKaoDnr46utXc83KhoIUxN8dGuct336KO3ePAHDd2kZ+/Jdnc/nK+qIpk8mMwa2PnuDqLz/EB27bweNH7EHNW5ZU8283nMW9H7uYmy/vonMBlK0z+H0oClSoSVZ7BrnSt4cN7hNUqjEEKsNWJY9nu7k/s5ITRg2mKM5nQAHarFHON3ZSZ00hFIVerZknXGcxpTjPF1OA1lQfK2O7cVk6MXeInaFNRFzljvZzmRlaR5/Glwljal4GGzaT8jrbyzM7gG94LwDpptVkK1oc7SPSCTIHHkNYFq66RbiauhztA5CeGCTWdwiAyjXno3oKK79P9OwlOTuJy+Ojed25Be11KtoqgyhAOK0zmyqeCnoqqoIeNEUha1qEi3SMV1Spbnp6mkgk8nt+pfr6erZte3658q677uK2224jm83S2NjILbfcwrp1657332cyGTKZk6bCaPT5DXiWJeZGPdSUehekK8i0BIOzthzeUu4vmtFuMJJiJqWjKQqr6wvrohNC8FjfDIYlqC/xOvYiAZyYTrB1MAzAld111DgkYPtHo9x1YAyA61bUs6Gl3NE+e4YjfPXhYxiWYENLOTdfsNjxz+DOvSN849ETCOw5c5+6vKug0m4srfPlew/zQM783V4V4GNXdrO2CPEFpx7jJ0/28z+P9xLORQiEAm5es76ZN25upa16YYLuioWMbjITzzAdyxBJ6mR0k6xhkTWsZ/35ULIaTbHQcvPqNCz7d0XgVQx8qoFXNV+WM+k0RdDqmqbVNU3E8nPCqGXQrCIu/OzW2zmsN7LUPcoibbIo5+8jyzrzMBNWBQe1xaQUH9tdq2gxR+m2eh2PVqnQZ1gX2crB0lUkXGXsK1tHV/wANdkJ6b00S6d5dCvDdetJ+asYqt9I8+hW/Fn5GXLeyaNYbh/Z2qWkWtajZhK4kvKDfK3IBPrxnXiWbMC9eB1WdNLxQODIoW34qupxl1ZQseJspnc97GgfAIRgYNsjdF32eipaFjPde5jYeGEp5WA3ozTkhgD3zyap8LuL/ozUVIXqEg/jsQxT8SzlRTjGK4o4JZM2efB6n/0g9Xq9c//vuairq2PJkiV89rOfxev18v3vf5/NmzfzzDPPPC95+uIXvzjvFOHZVBZTCDyaQmiBkpZHoil0S+BzqQUbt/PQTYuD43aJrqumhECBHVYHJ+KMxzO4VIXzF1U5LlfGMgb3HLHN4OsaQ3Q5nBk3HEnxPzvsFO9z2yu5qNOZP+rAWJR/e+gohiXY1FrBTRd0OAq2FELw/af7+d8d9s3omhX13Hzh4oKaCPYOhfnMnQcYi6TRFIUbz2njnecuKloeUzSp86MnevnRE33E0nb7e2tVgHddtJir1jbiexlkLFmWYDySom8iQd9EnP7JOIPTSaaiaaZjNlmKp+fbuj+/kocnR6Lyv0q1LKVaZu53v2osaHDlH0JITbHO089KMUi/WU2P3kAaD3v1No7ojSx1jbLINVmU+Xm1YpZKYyc9ajsDWiODWgOzahlrjCOOvU8+K82ayA6OlKxg2lvL4ZKVZJM9NKXlH+SaMGge385Q3YYcedpEy9jT+LLy3Xu+kX1YniBGeRPJRWdTcvQh1Kz812gMH0Etr8VV04pn+Xmkt98LprxSIiyT6d2PUXfuNQQaF5Ec7SU11i+9Tx6pyDSTx/ZTu3Q1zevO5fB9tyOczu07Bc3lfibiGVK6yUQ8Q12RnmGnoiLgYSqeJWsWx+v0ihq5Mj09TXV1NT/84Q+54YYb5v7+Pe95D9u2bWPv3r3z2mfjxo0sXbqUH/3oR6f9/6dTnFpaWn4vqt0SgqMTcQxL0BDyFa3L7VRkTYudQ7NzHVfVweJ0RO0bi9I7k6TEo3HR4uqCfFnRtM6vDo5hWIKzWytY5nAgsCUEP9szwmAkRW2Jh7eta3ZEUqJpnX9/9AThlM7SmiB/vqXdEUE5NhnnC/cfIW1YrG8p5wMXLnZ0PoZp8dWHjnHfYfut+Z2bW3nbhhbHb0WmJbj1yT6+91gvphA0lfv53GtXsKJIo1jCiSw/fLyXHz/ZTyJjk46O2hLee/FiLl/d8JJFCESSWfYPhNk/MMv+gTAnxuMMTCZI63/YZOtSFapKvYSCHrwuFa9bs2fWuVU8LvvP+/ftw0TFFAqWUOb+bAqVjNDIWC7EPPqqXIpJqZalTMtQ5U5S5UpR6UrhVl+aQb+mUGwCZTSQFPb9w4POEtc4i13jRRtAPKWUs1dbSlbxoAqTbqu3oM47ARwPLmXUZ5fGmlN9tCePO9rPUjSG6jeS8lWimRlaR57GY8gbxoWqEe+8ECtQgZqKUHL0YRTLQaaWy41vw1WovhKMiT6yB5+Q3yOHsqXrCC1Zi5lJMfbIHVi6fARDHqrLw/Ir34zbF2B479NMHLEHC89n5MoLYSSSom82iUdTWNdUsSBd5xOxDJPxDD6XSsdpMuH+ZEeuVFVVEQqFGBsbe9bfj42N0dHRMe99Fi9ezPHjzx9E5vV6f0/VOh0iKR3DErhUZcG8TUPhFJaAoEejqkjELJLW6Z2x35RW1ZcVRJqEEDyeK9E1lHrpdqgQATzVP8tgJIVbU7h2Wb0jkqKbFt/bOkA4pVNb4uHGDa2OLtLB2SRferCHtGGxsqGMv7nAGWlKZU3+8b7DbO2fRVXgby/u5Mrl9X944fNgIprms78+wK6BMACXr6jno1d0ESxCenxGN/nxk/1856FjcwrT0vpS/vySTi5bWY/6Ig5S002LvX2z7OqdYf/ALPv6wwxMnf5B51IVmqsDtNWU0F5bQlt1kJqQj6pS79yvsnnI95/73Au3YgsBWaGRtlxzv5KWm5jpIWZ6iRkeEpYHQ2jMGn5mDT/9mfL8aptIuVJUuZPUuJNUuFIvymw6TRF0uCZp16YYMKs4YjSQED4OGM0cM+pY7h6mTZss+FyqRZhzjV3s05YwpVZyUOtkSqlgpXkUD/LkQgEWJ3rwmhn6gp0M+dvJql6WxA9Jd9ypwqRpbDuDDZvJeEMMNmyideQp3GZa7pwsk2DvU8SXXozlD5Fs20Sg90l5MmfoZA8+jnftq3HVtmPOjmGOOgvHjB7dg7+uDU9ZBeUrtjCz+xFH+wBYRpaRvU/TtukS6pevZ3bgGHrK2VicU1Ff5mM0liZjWIxG0wVl3j0f7GiCDGnDKjjX6RVFnAAuueQStm/fPvffQgh27tzJJz/5ydP++1tuuYVPf/rTBAInDdXDw8O0tDgz+J163Mm4zeyrgp4F6aRL6fYsHoD2iuLEDwgh2Ddme7YaSr2O/UN5HJ6MM5Yr0Z1bwEiVwXCKp/rtWv+rl9Q6Uu+EEPxs9zADsyn8bo33bG5zVIIci6b54gM9JLImS2qCfOiiTkeeptlklk/edZCeiThel8qnr+hmS3ul9D55PHJkki/cc5BoyiDg0fjI5V1cuarB8X55WJbg//aO8PX/62EkbGfeLK0v5a9etYSLltW9KIRJCEHPSJQnj0zy5JEJth2dnlO7TkVLdZDVbeWsaClnaWMZ7TUlNFYFFiyl/1QoCngVE69qEuL0b/WmUIibHmKmh7DhY9oIMK37SVoeoqaPqOmjN2P7zzyKQZ0nQb07ToMnRqmWXdASn6oI2l1TtGpTDJlVHDIaSQgfu/R2jhl1rHQPFpwF5UVnvXmQftHIEbWdCbWKJ5QSVps9VAl5b5ECtKT78YgMR4PLmPA2kFU8LIvtw4VcO78mDJrHtjHYsIWsp4TBhs20jjwlnTCu6ikCJ54iseRCjFAD6YaV+EflU7et6DR67248i8/C07mBdHQKkZD/HiEsZvY+Rt051xBs6iA12ktqfEB+nxxm+o9S1bGMkuoGmlZvoe+ZBx3vlYeq2E1NR6fiDEdS1JUWf7KGKxcFNJ3IMhnPFpTr9IojTh//+Me57LLL6OnpmSu3aZrGO97xDgDe9a53YRgGP/zhDwF46qmn+O53v8vNN98MwP3338+TTz7Jb3/724LOI5I20HMp4QtRogMYDNthl+V+d9HyKUaiaWaStiF8Rb1zAzfYOUTbhsIAbGgqp8yh6pHWTe46NIbAHiy83GFX1uO9M+zIxQ68c2OLI1IYSel88YEewimd1go/H71kqSMvz2Q8w0d/tZ+hcIoyn4vPX7OCZQ4zskxL8K2Hj/Gjp+2b4bKGUj73mpW0OIxVOBUHhsL8868PsjenYNWW+bjp1Uu55qymBQtxzSOdNXnk4BgP7h3jicMTTESe/fZfEfSwobOK1W0VrGytYGVrOeUvswG/z4WmCEKuDCFXhmbvSR9NynIxo/uZNvxM6wEm9CBZ4WIwE2IwY5dYg2qWBk+MFm+UBk9swdQoVYFW1zTN2gwnzBoO643EhJ+nskupVSOscQ9QqsopMadCAdqtESqtCHtcXSSUANu0lSy1+lhkDTsqtdVlxnBbWQ6VriLsqWJfaB0ro7txCzkly2VlaR7bykDDFnR3kKH6jbSOPi09286VmsU/sJ1U+2aydV24krO4I8NSewAYg4fQyuvQqprw5v1ODnxFemSa2Il9lHWuoWLl2aSnRxGG8w6zoZ1P0PWq11PR2snU8YOO9zkV1UEPI1F7OO9wJEV7ZfGbSqqCHmYSWVK6SSJrOh4y/IojTps2beLWW2/l+uuvn0sOv+++++bCL9PpNLp+8gPzsY99jG984xvcfvvtmKaJZVn88pe/5NJLL3V8DkIIpvNqU8CzIG/kKd1kKhcoWKz4AdMSHJqwDeGd1UECBZp7nxkMY1iC2qCHZbXOS3QPHp8injWp8Lu5tNPZmJHB2RS/3m+XcK9dUc8SByXDjGHyrw8dZTKeobbEyy2XdTm68KbiGT58xz5GImlqS718+bqVNDvMM0pkDD776wM8fnQKgOs3t/K+i5x39eURTmT593sP86sdQwgBfo/Gey5azA3nLVqwUSxglwMfPzzBPTuGeXDv6LNUJZ9bY2NnFed013J2Vw3LmkIvanlwIeFXDZq8MZpyZMoSMGP4Gc2WMpYtYVIPkLA8HEtXcSxdhUcxaPVGaPNFqHPHF4REqYqg0zVBqzZNj9HAMaOOCSvEA5kVdLomWOYaLsj/VEaCs43dHNIWM6zW0aMtIqEEWGEecxRuWanPsDqyk/1la4m7QuwrW8eq6C5p8uQ207SMbWWg8Wwy3hAjtetoGt8hPVLFEx7CHC8nW9dFsnU9JUfCaFn5slbm8FP4N16NGizHvWg1+ond0nsARI7uxl/fhruknNDSdYQPbnW0D9hG8akTh6hZvILG1ZsRQhRc8VByqtOhiRhjsTRNoeJ1iOfh1lTKczPsphNZx8TpFWUOf6nwXFNZImPQlwt5XFpX4sj78odwdDLOZCJDhd/NsrrClKE8Tkwn2D8ew+tSubSzuqDzHo6mua9nAgW4bnm9Y//V0ak4vzpgG0ivX9dMo4NRIynd5F8fPsZMUmdVQxnv3ChvvLaE4D8eOc62gVlKPBqfu2q5o+GU04ksH/rlXoYjaerLvPzra1dR53B8ymgkxUd/tpfjk3E8LpVPXb2MV61w7o/K44F9o3z+zgPM5GI0rl7XyAev7KZ2AYZxgk3Ynzg0wd07h7h/zyixU7JWGir8XLmuiQtX1LF+cRXel7BTb76dtAsBQyiMZ0sYzpYykA6RFicVZq9i0OYL0+aNUOtOLFg5L2552au3MmaVAxBQMpzl7qVWczY/7lT0qw0cUjtAUaiwIqwzDznyPQEktCD7ys5CVz2UGBFWRXfhklSMAFLeEIP1WxCqRnm0n9rpA9JqmEAh0XkBZkk1anLWNos7UIy0qma8qy5ECIvMrvuxolPSewB4qxup3Xw5wrIYf/zX6LFZR/sAuLx+ll/1VjSXmw3N5Y7uzc+FEIK9oxESWZOmkI+2iuKrThnD5NikTWA7q4Nz95Q/WXP4ywV5Jag84F4Q0pTWTSYTtqLVXCS1STcteqZOxg8Uct6mJXh6wPYjLastcUyaUrrJb3vsgZcbW5xdmCI3TmUmqVMZcPOWdU2O3ox+vGOQbQOzuFSFD128xBFpmk1m+eiv9jGcU5oKIU37hiJ87Od7mE3qVAY9fPmNq1nRVFjX3HQswxfuPMADOWWuo7aET79+JWcV4Lt6IYyHU9z+VD8/e6KP0dmT88JqQz6uPKuJq89qYk175StGVSoELkXMKVIbSkaY0IP0pcsZzITICBc9qWp6UtWUahmW+KdZ7JvFqzob2fF8KFEznOM9ypgZYpfeRlJ4eTzbTbs2ySr3IG7F+fHarFECIsUerZtZNcRTylrWGwcoQX6OXNBMsCq6k71lZxF3hdhfupaV0d3Snid/JkLD5G5Gas8iXNaGW09SGe2V2kNBEOjfSrzrUqxABenG1fiHd0vtAWBOD2GMncBV34Gne4tdsnMwkiUzNUJytJdAwyIqVm5h4ql7pffIw8ikmDiyh4YVGzg4HqO+CFMxFEWhpTzA4YkYo9E0jWXFV528Lo1Sr4tYxmA6kaXRgRH9DHEqMjKGPYkZcDzY9Q9hKGLfTMp9bkqL0C0FcGwqQdYUlHg0WgvsaDgwHiOSNvC5VNY1ljve58FjkyR1k6qAh3Pbqxzt8XjvDPtGo2iKwjs2tDpKGH/o6CR3H7Szo/7ynEV0O/BYRVI6H/3VfgZmU9SUePiXAkjTffvH+MLdh8iaFktqS/jKn61xvBfY5PLu3SN8+TcHiSR1NFXh3Rd28BeXduIpcMTOc2FZgqd6JvnxY708sHcU07IF7/Kgm6vXN3PVWc2sX1y14P6pP2aoCtR7EtR7EmwSw4xlS+jPlDOQCREzveyMN7I7Xk+bL8JS/zTVrmRRVah6LcJl6n4O6M2cMOvoM2sYM0Os8/TRoDkwL+dQI8JsMfaww7WclOLnadca1piHqRFh6b1s8rSLfWVnEXOXc6BsDSuju6WDN0uT49TMHGayahmTld149AQlKbmwTVVP4e/fRnLxeWRrFuOKTzryO2WP7UCtqEcNhHC3r0Y/sUt6D4DwwW34aprxVtYTaFpMcthZtx7YieLVi5eTJED/bJJFRfAlVfjdBNwaSd1kNJqmtaI44sCpqCrxEMsYdnd1qVc6QuUMcSoypnNqU6nXVfBct9MhY5hz3XrFatlM6SYncnPultWVFvTWEM8a7B61b54bm8vxOgxbPDoV59BEHAW4sqsWl6PIgJO+putW1tPiwEd0aDzG956xQ+PesKaRczvkCVwsbfB3d+6nbyZJVcDDV167ytEQYSEE//3oCb7/RB8AFyyt5jPXrShoOOZENM0//HIfjx22lb2uhjI+98ZVLCtQvXoukhmDnz7Rx/8+doK+iZM+j/Udlbz1/A6uWNf4kpbh/lihKtDojdPojbPBGqEvU05PqopZw09vuoLedAXlrhRd/mk6fLNFSzV3KxZrPQM0mzPs0BeRED6eyi6lRZtijXsAj0P1qYQUZxt72KUtY1YNsUNbwTLrBG3WqPxeZpyV0V3sK1tH1F3BgbK1rHBAniqivWTdQSJlrYzUrqVt5Em8elxqD3dsHO/4YTJ13c79TkYWvWcr3lUX4WrpxpwawIpOy+0BmOkE0WN7KO/eQHn3BlLjA46N4pahM3ZgBy3rz+fIZJzmIviSFEWhudxPz2TcVp1CvqJXbgJuDb9bJaVbzCRt8iSDV9ysupcSpiXmRk4slNo0EkkjgJDP5XiA7HNxdCqOKaDS76a+wPiBHUM5Q3iJl84qZ28fWcPigaMnS3ROymJZw+J/dgxiCsGqhjLOWyRfbppNZvnaI8cwLcGWtgpev1p+WGbGMPnU3Qc5nhuq+y+vW+mI8FpC8C/3HZkjTW8/u40vvmF1QaTpiZ5J3vTvj/HY4UncmsrNly/lRzedU1TSlMwYfOeBo1z89/fxhV/so28iQdDn4oYLOrjrE5fwkw9fyGs2tZwhTUWAW7VY4p/hqoqjXFFxlA7fDBoWYcPPM7Fmfj3dRU+qsmhz6QCqtTiXeg+wxDUKCAbNah7MrGDGcq48eDDYaO6nyRoHReGQtphjaosDuziUmjFWxnajWQYRdwVHSlfOK6T0VChA3fQB/KlphOpiuG49piJ/3XlHD6LFp0Bzk2rbKH0eAOb0MMbYCRRFxbN0M06lxNiJA+jxMJovQFnnGkd75DHVe5igRyNrCk7MOEuDfy6qAh78bg1TCMZizgM7nw+KoswN/51NZqWH/54hTkVEJKUjAK9LLXhEyelgmBbjcbsNuClUPLVpIJfN011bWlBnxFQiy/HchbOlpcLxXk/2zxDPmoR8Ls5pc+avuevgGJOJLCGfizevlfc1mZbg64+dIJI2aCn385fnLnK0xz/dd4QDo1FKvBpffs1KWhzIzqYl+OI9h/jlTrtV++NXdvPXF3c6VgYtS/CfDxzl/d/fRjip091Yxk//5lzee7GzPKrT4VTC9KU79jMTz9JSHeQf3rKWJz5/JZ958xq6iqxqnYENRYFqd4pzyoZ4ffUhzioZwa/qJCwPWxeAQLkUi1XuIS7yHqJESZMSXh7JdHPcqMFp65GKYKV5lCWmrfYe09o4qrY5Ik9lRpQVsT0owmTaU8OxYJf0PgqCxomduIwUujvIePUqR3sE+reCqWMGq8jULpXcwUb22A6EnkYtqXA+CFhYhA/Z81tL25eh+QsosQlrbvTViekEull40ryiKDTlXpjHoimsBehhK/O5cKkKhiXmAn3nizPEqYiYTdlluoqAZ0GG+Y7FM1jClhlDRVObElgCqgJuqgtQyYQQbBuyOzQWVwYc7zWZyLA9l/10WWeNowd5z2Scx3ttc/pb1jU5IrG37x7i8HgMn0vlAxculi67CiH4f4+d4KneGdyawj9evZxFDhQ4w7L4p7sOcteeUVQF/v665bxmXZP0PnmEE1lu+sF2vvXAUYSAN21u5Yd/fTaLHWZjPRfPR5i+eMNZ3Pf3l/HW8xcRXKCZjWfw+/CqJssDU7y26jAbSoYXlEBVqgku9h6gSZ1BoLJHb2e73oEhnD1mFGCxNUiXeQKAE1oLR9R2R+QpZITpjh8AIRjzNTHob5few2XpNE7sAmERK2kgXNYmvYeqp/AP7QYgU78c0+egI9rIks1FErjbV6N4nL1EpyeGSE+NomguQl3rHe2RR1OZjxKPhm6JuakThaK6xItbU8iaYq7hqphQlJMTPWaScvufuYMVEVnDwgsLMl7FEoLRqK0MNYZ8RSFmttpkf8idDsvNYyiSZjSWQVNgfVO5oz2EEDxwdBIBdFYF6XBANNK6yU932cbLc9or6XIwF2/nUHjOG/UX5yyi0YG698s9I/x63ygK8IlXd7HKwZw4w7T4zJ0H+N3hCTRV4XOvWcGly+qk98lj/2CYj/xoJ6PhND63yqdeu5Jr1zc73u9UWJbgV1sH+NdfH5wLqmypDvLXV3Txmk0tL0py93yRNUwmwynGZpOMh5OMz578NRNLk9YNMlmTtG6SzhpkdJN01iQeb8ClCjRF4FLs3zXV/rNPswi6TAK5X0GXSUAz8busF2Vsyh+Cpgi6A9Ms8c9wNFXJgWTtHIE6mKxhfckozZ5owSZyt2KxyXOcY2ac/XoLg2YVEcvPZs9xx6GZi6wRVASHtMX0ac1YqCyzTkgXuqqzkyxOHOF4STf9gcX4zSQ1WTmjtz8TzpnFlzNRuQxfJow/I2eId88OoJc3YYQaSbZupKTnd9IZUeboccz6xWihGtydZzmeZRc+tI36868j2LTYLt858EyBTUKW1pSwczjC8ZkEHZWBgmdWqopCQ6mfgXCSkUiKmmDxBYmKgIepRNYOw5TIJDtDnIqMkN+9IB1Bk/EMuinwaErRBvkey6lNlQF3QXPuLCHmEsKX15Y6DhU7OBFjKJLGpSpc0lntaI/fHBxjNmVHD1y7Qp5kTMYzfOtx+w331V21jkagPHFimv983G5b/otz2zl/sfzXkjUsPv2rfTzaM4VLVfj861dxwVJn4Z9CCH6+dZAv/fogumnRWhXgX284i6UNxcn/2nF8ms//fC/7cunizVUB3n9l90tOmDK6yYnRCEeGZukZmuXI0CxHhsL0T0QdlpA0JDvaURCEPAYVHp0Kj0GFV6fCoxPyGC8JoXougdqfrCVuenkk0k6dO86G0hEqXM5TwcEuFS5xjVOhJNiaXUxUBHgos5z1nl6aNGe5QW3WKKqwOKB1MqA1YikqK8xj0uSpMTNMWvMz7G/jSMlyvNEMZYYc8amI9pHyVRAPNjBSexbtw4+jWfM3VyuAf3An8WAVVqCcTF03vvFDkl8JZI9uw7f+Cly17Rgjx7DC49J76NFpEkPHCDZ3Ur5sI5PP/J/0Hnk0lfk4MhknkTXpnU2ypLqwl3GA+lIvQ5EkSd0knNap8BfXO+xxqZR4NeIZk7CE6nSGOBUZFYHiq01CCEai9s2socxflLl3ad2k/xS1qRAmf3QqQTit49VUVjc4861kDJOHj9tvO+e0VToqRfZMxnmqz74xv2Vdk3R5zbAsvvbocRJZk46qIG/bID+v8PhUnC/+9ggCuGZFPW9cK19W002LW365lyePTePRVL74hlWc45BI6qbF5+/Yzx3bhwC4ZEUd//Cm1QUNuMxjKprmi7/cz6+3DQIQ9Ll4/xVd3HjR4pfE7D0TS/PkwVGeOjjK04fHODYSnos7eC7cmkpdRcD+VR6Y+3NVmQ+/x4XXreGb+13D59b4z29/G8NSMIX9y7DI/a6SMlWShkbC0EiZKglDI2loCBTCWTfhrJtTE4BUBJVenXp/hsZAhnp/Bq/24mUR5wnUYt8sB5I1HEzWMK6XcM/MEpb4p1kbHMOjFuZVqdbiXOI7wNbsYqasMp7JdrLUNcoK15AjZatFjKOagn3aEobUegQKK82j0uRpUfIYaS3AtKeGA6WrWRfZhs+aP1lUgPrJffR7ytDdQUZr1tA0vl3qPFQjg29oN6n2zWTqu3FHRtDScgROxGcxhntwN3fjWbqR9LZ7HI1jifTsJNDQjq+6AV9NM+nJIek9IKc6VZewayTC8ekEiyoDBXfDuTSVuhJ7APBIJF104gS26hTPpAin509+zxCnIsLjUh3lBP0hRNMGKd1EVaBOsm3y+XBiJmmrTX431QWoTaYl5uIH1jSUOY4feGZglqRuj1XZ0Fwuvd4wLX6xZwSAc9sr6XTwtvOrvaMcn0oQ8Gh84EL5sSWxtMFn7zlM2rBY31LOTRd0ODKUf+7XB3jy2DRel8qX37SGTQ46AgFSWZOP/u9OHjs8iaYqfOCKLm48X97k/lxYluAnT/TxL3ceIJbSURR409lt/O21y6leoHTx0yGSyPDUoVGePGj/Ojz4+2pGWcBDV3MFS5vL6WquoKu5giVN5dSE/NLfhyqvXMu2EJAwNMJZFzNZN7MZN7NZN+GMC12oTGU8TGU87A+XoiCo8uo0BjI0+DM0BDK41YUnUm7VYm3JOJ3+GXbGGxjIlNOTqmYgE2JDyQht3sKG+voUg/M8RzhoNNNjNNBjNJAWLs5y9zlS3JrEBKppsVfrYlitwyVMuiXLdgrQFdvP3tB64q4yDpWuYk1kB6pETIEmDBondjLQcA6JQC2R0lbKY3KDc93hIfRwM0Z5E6nmtQSPPSJNAvXevbhq21ADIVyNnRjDPZI7gJlKEOs7RNniVYSWrnNMnACaQj56pmzVaWA25chu8Vw0hGziFEnrJLNGQZ3Ep0Op1zaJP99L1ulwhjgVEeU+98KYwmP221BNibcoeRaGadE3a6tNndXBgs752HSCRNbE71bpdjiPLprW2TFsk6+LOqodlTofOjbFZCJLqdfFVcvlS3QnphL8ap9NvN67pV16ALAlBF964Aij0TT1pV4+eXmXdI1fCMF/PNDDg4cmcKkK//zG1Y5JUySZ5W9u3cHu/ll8bpUvX7+OCwvwR+UxOJXg727bwfacOriipZx/eOtaVrdVFLz3fDATS3Pfjn7ufqaPxw8MY5jPvtl1NVdwzvIGzl7ewNqOGhoqAwtyTc4HigIlbpMSt0lz8GRLtRAQNzQmUh5GUl5Gkl6iunuOSO2dLUVTBC3BNItKkrQG03gWWI0q0XQuCA0wlp3mmVgzMdPL49E2ej1RtpQN4VedjT8BO2tqpXuIUiXFTn0RA2YNWeFmk+e4o1l3DWIKYSrsdXXRrzXiJUOHJRcoqWGxLLaXXaFNxF1lHA8uZUnisNQevmyM6tkjOb9TN4HUJB5j/knnCuAf3kOstA6zpBq9sg3PTL/UOWDq6H378CzdhLt9FcZYL5jymUyxE/soaevGU16Nr7aZ9IQz8qQqCosrg+wdi3JiJkl7ZaDgConPpVHhdzOb0hmPZVhUVVzaoigKIb+bsITgd4Y4FRFlC2AKzxrWnOO/vrQ4b/P94RSGZaeE1xWQ22RZgj05tWlVXZljUvd43wyGJWgO+VhcJd+uP53Icn9uNMt1K+ulVb+safGtJ05gCdjSXunI1/S/2wd5um8Wt6bwmSuXOcrY+tEzA9yeK6l95roVbHEQtgkwHknxvu9u48REnFKfi2+8ayNrCyQ2Qgh+8fQA/3T7XhIZg6DXxYeuW87bLuhY8JTvqUiK/9vez91be3ny4Oiz3gw7G0Ocu7yRs5c3sKW7nuoixXQsJBQFSt0mpe4Ui8vsB21CVxlNeRlJ+hhJeYnpLvrifvriflRF0BxIs6g0RVswtaAlvXpPgmsqeziQrGF/opbhbBl3TS9lS9kQLd5oQXu3uabxKAbPZDsZs8p5PLuUczxHHYVlNopJsqabw1oHPdoivCJLk5iU2sNnZeiOH2B/6VrGfE2UGhHqM3JBmxXRPuKBOlL+KsaqV9My9oxcyU5P4Rs7SLppNenGVbgiI6iSxMcYPYarqQs1GMLduhy9d4/UegArmyHef5iyxasoW7LWMXECaCn3c3gyNpf8XYzonPpSH7MpnYl4htaKQNHvOeV+NyPa/Pc8Q5yKiIUwwo7H7cDLUq+LYBEkSkuIuZTwxVWFq03xrInfpdLtsCtvIp7hwLg9JPSijmpH5/Or/aMYlqCzOshZDrKBfrF7mOFImpDPxbs2ybcYbx+Y5dZnbJn+Axd2ssSB8nbfgTH+3++OAfA3ly7hMgeqGUDvRJz3fXcrY5E0NWVevvXuTSypLyxqYDqW4dM/3sX9e+yHyobFVXzpxvW0Vhd/AGcehmnx4K5BfvjgYR7dN/ysHJeV7VVcvamdqza2s7iAkT4vJwTdFp3uFJ1lKYSAmayb3pif3rifcNbNQMLPQMKPiqCtJEV3KEFTILMgA301RbA6OEGLN8oT0RbChp9HIu0s9s2woWQEdwHepwYtwvmeIzyZXcKMVcqjmW7O8fYQUORVknZrhDQe+rRm9mtL8Jo61ZLjWSr0GdpSJ+gPLOZYsIsSI06JOf+hxQpQP7WXvqbzSfmrCJe1UxHtkzoHz+QxspVtWP4QmYaV+IckR6kIgX5il50o3tyNMdKDyMjP+Iud2E9J+zK85TX4appIT8qPhQHQVIVFlUGOTMY5Np2gsazwLvByvxuvSyVjWEwlMtQVSUTIw+fWWCxh7zhDnF7GEEIwnktNLZbaNBJNk9ItPJpKcwFvAtYp3qaV9WWOW08fPWGXfLprShwlhB8Yi3JgLIaqwOtXNUhfoD0TMe46aEcPvPfsdkolM4YmYhm+kDODX7W8jiscEJ5tvTP8028OAvCWTS28dXOr9B4AewfC3PwDO9SyvSbIt969iUYHY2ZOxUP7x/jE/+xkKpbBrSl84JrlvPeyJQumMo3OJPjfh47w44eOMDZ7Mg9mTUc1V29axFWb2mmvK0434MsVimL7qaq8Ohuqo8xkXPTG/fTGAsxm3fTGA/TGA5S5DbpDcbpCSXxa4aGDz0WFK82VFcfYk6jjYLKG4+lKxrNBzikbpNbjPKunSotzgfcwT2SWEhUBHsks4zxPj6O4gi6rj7TiZUytYZfWzWZjH2XIjTJpSfURc5Ux46nhYOkq1kW24hbzL016jBS1M4cZr17JZEUXwdQkHn3+56Ag8A/tJrHkQrJVi3BP9+FKyXUfmtPDmOEJtPJa3O2ryR55Rmo9gJVNk+g/TGnHSlt1ckicANorAhydihNJG0wn9YIyAsEup9WX+uifTTIWSxedOOWPMV+cIU4vY8ymdLKmhUtVijbC5cS0fUEvqixM7jwxmySeNfEVoDYNhJP0ziZRFThvkXxZyjAt7thnqyAXLa6mXpJ4GabFt5/sQwg4v6OK9S1y5SzTEnzx/iNE0wZLa0q46YLFUusB+qcT3PLLvRiW4NJltdx86RLpPQB298/yV9/dSjJrsqI5xP9710YqCvjM6KbFV361n+//zh4AurSxjK/cuJ7lLeWO93wh7Do+yXfu3c/dW3vnfEtVZT7+7IIlXH9xN4vqX9lk6YVQ6TWo9MZYXxVjJuPiUKSEo9EAUd3F1qlydkyH6CxNsLIiTqXXuRfpdNAUwVklYzR5YjwZbSFuebk/vJjVwXFWBiYcK14hNcVF3kM8nl1KXPh5NNPN+d7DlEmSJwVYbfaQxc2MWs4O13LONnbjQy4eoCt+kF2hjaS1AMeC3XTH90uV3EKxAWLBOpL+GsaqV9Ey+rTUeldiCvdMP3plG+nmtQSPPiRvFD++E239FWj1i1EGDyGS8qXV6In9BNu68VbU4q1qIDMtPyMQ7OkZLeV++mdTnJhOFEycAGpLvAzMJklkTeIZw3HsTTHw8kmlO4Pfw0RumG9NibcoEQThlE44befHtBcwcVoIwf4x+6JcUVfquET5VL/9VrW6IUSFA3/YE30zzCR1yrwuXtUln3F098ExRqN2ie7tG+VVnjv2jLBvJIrfrfGpK7rxSHYUJjIGH/v5XhIZk9XNIT597XJHP+cjI1Fu+v42klmTzZ1VfOfPNxdEmsKJLO/+xhNzpOldlyzml3930YKQpl3HJ7n+i/dy7d//mjufOoFhCjZ31/PNmy5m69fewiffuulPmjQ9F5Veg3Nrw7ytY5QL6mao9mYxhcKRaAm/6K/n/pFKZjLFf6DUeRJcXdlDh28GgcKeRD2PRVsxCkgdD6hZLvQeplxJkMHN45kuEpb851ZFsM48RFAkyShedmvLsCRph0sYdMf2owiLKW8dkx455TgfUaBYBilfJdES+RgS38i+3DiWSvRy+WBaKzaNMTmAoii421ZKrwewMikSg3ZnXmmHsz3y6Ki0S/lj8Qwp3dnQ51Ph1tQ5ASH/bHypcIY4vUxhmBazOVN4bYGDd/Poz5U+Gkp9jmMDAEZjGWZSOi5Vcaw2DYVTDIRTqApsdvBATukm9x+xzaBXLKuVzmyajGe4Y6/9NnX9+hbpt5f+mSTffboPgPedt4jGkJzaZQk7dqB/OklNqZcvvH6V9NcA0D+V4H3f20osbbCuvYL/uHEDgQLexE6Mx3jTvzzM0z1TBL0uvvUXm/nEG1YXPZfp4MAM7/7X+7n273/No/tHcGsqbzp/Cfd9/rX84tNXc93ZHWcG/74A3KqgK5Tkta0TXNsywaKSJCDoiwf4RX8dD41WEM0W9/vnUS3OKRtiS+kgKhYDmXJ+O7uYpOn88+ZVDM7zHqFMSZLGw+PZLtJCfj83JmcZB3EJg7BaxiG1Q3qPUjNGS6oPgOPBLrKKHIlzm2mqwrZPcbKyG1OV+zpUI4N3wiYt6YaVCAcvUXr/fgC02jYUvzNvY6z3IEII/LXNuEqcz5Ms9bqoyuUa9s8WZwxLTS78eSqRWZD5dfPFGeL0MsVUMovAnktXDFO4bloM5UZhFKI2Aewft9Wmzqqgo4c9wJMD9iy5VfVljjrQHjw6SVI3qSv1sqlVvmPsf7YPkDUtuutKOU+ye80wLb70QA+6KdjUVuEo/uD7j/fy2NEpPJrKP79hNVUOyPF4JMX7vrOVmXiWroYyvvaODfgLGC79xOEJ3vSVR+ibSNBUGeCnH76Ay9Y0Ot7vdDgxGuH933iIyz9xB7/dOYCqKPzZBUt45F/eyFffdwEr2p11Ev6pQlGg3p/lssYZ3tA2TntJElA4Fgvys756HhsvJ64Xl0B1+me5rPwEXsVgxghw7+wSpnXnXjqPYnKut4eAkiEhfDyR6SIr5M85SJo15hEQgkGtgUFF/rpsSfVRYkQxVDc9Jcuk5+JVRnrxZGOYmpepCvkhvt7Joyh6CuENkq2SJ38iPosxNYSiqLjbVkivBzCTMVLjdrNL6SJne+SRf9YMhIszqLfc78adG8wbTsk3FBQLZ4jTyxSTp5TpioGhSBpT2BEElQWkm4dT+hwBW+lwMOxwJEX/bE5tckB6wimdR3M5Qtcsr5Mub+0eDrNtIIyqwLs2tUobyn+yc4ieiTilXhcfurhTev3TJ6b57mN2jvTfXdnF8kb5UtRsIsv7vruNkXCK1uoA33r3xoLiMP73sV7e8/+eJJrSWbeokl/83UV0OehQfD5MRlJ85L8f4+K/+wV3PnUCIeDazYv43Zdfz7/95QW0OpgpeAbPRqXX4FWNM7y2dZzmQBqBwuFICT/rq+epiRAZs3iG/lpPkisqjxHS0qQsN7+dXUx/2vnnxa/onOc5gpcsERHgyewSR8OBa8QsSyw7C+mgtpgIcp2fKoKl8YMowmTWU824t0FqvYKgbvoAAOHSNtIeuWtbsUy8Y/b4lUz9MoSkagVg9O8DQKtbhOJzVhGInbCVq2DTYlSPcyN2fakPj6aQNizGi1BeUxSF6twzcfIlLNedIU4vQ6R0k1jGNnnWFGEunRBiTiptqygsEDCvNrWW+x0pRQBPDdjephV1pY5Gq9x3eALDEiyqDLBckrxlTYtbt9pvU1cuq6NFUn07Ohnnh7kRIzdd0DF3Ec8XE9E0n73zAAJ47bomrl4tr+gkMwbv/76d01QX8vHt92ymymGivGkJ/unne/nMT3ZjWoLrNrbwww+c53i/58KyBLfef5ALPnw7P3m4B9MSXLauhfs+/1q+9TeX0PkKiRN4OaHGp3Nl8xTXtkxQ789gCoX94VJu76vnWNTvcE7f76NUy3J5xTEaPVFMVB6LtrEvUet4/xI1w3neHtwYzFilPJ3txHLgoeqwhqi1phGKym7XMnTk1KugmaA9ac+rPBFcSlqVIw6B9Ayl8RFQFMarVkqrVp7pPtR0DOHykqmVV62s2Azm9EhBqlN2doLM7CSK5qKkrdvRHmBHE7SU2/fYYpXr8taVmWQWwyx+N+l8cIY4vQwxlbCZdLnPLW04Ph0iaYNoxjaFt5Q7l9QzhsXxafvD71Rtmohn6J1JouBMbZpKZNiWG61x7Yp6aRJ436FxxmMZKvxuXr9GzsBpWoKvPnQM0xKcv7iKSySH7lpC8I93HSSS0umqL+WDr5LvoDMtwS0/2c2BoQgVQQ/ffo/zyAHdtPjwD7Zz60O2CfxD1y7nX96xvmjeot6xKG/6/D188gdPEUvprF5Uza8+cw0/+Mirz5TkXgTU+7Nc0zzJFU2ThNw6KVPjobEqfjtSRcIozq3fo1pcFOqj22/7Dfck6tkRb3BMnkJqinM8PWiYTFghduut0nspwCqzB79Ik1J8HNLku12b0gOU6WFMxcXxoDx5qZ05hGrppH3lxIJyL0cKAt+orfhkajqxNPmXS/0U1QmHilGs11bOStq6QXH+eWnL3Z8m4tmimMSDHhcBt4YApiUG8xYTZ+IIXoaYTtgfhmJFEAxF7DA0WzZ1fgEcn05gCkGF3+04cXxnbrTK0poSRwMbf3d0CktAd20J7ZVyalEia/Dr/bYh/M/WNUsnjN9zcIyeiTgBj8bNFyyWJm2/2D7E9j57BMo/vnalI3/Y1+47wsOHJvC4VL72jvUscjjmxjAtPvKD7dyzcxiXqvCVd2zgmg3ynTyng2lZfO++g3zpZ9tJZ00CXhe3vGUjN17WjVaEkUELBdO0mI2nSKZ1EqksibROMq2TzGRJpHR6phXcKrhUcGsCtwpuDdwq+FwsSBhloVAUaAlmaGwfZ89MKbumyxhI+Pl5n5eza8IsKUsWfN6qAhtKRynRsmyPN3E4VYNAYUPJiKO9q7QEmzzHeSq7hD6zljI1TadrXGoPNyZrzCM8ra1mRK2l1pqmXkzPe70CLIkfYmf5ZmY8NUy7q6nSp+a93mVmqAyfYKqyi6mKpZQmRlEktCdXZAQ1Fcbyl5Ot6cSXK9/NF1Z0CjMygRaqxd24FL1vr9R6gNRYH2Y6ieYL4K9rITUmOQ4mhxKPi8qAm5mkzlAkxRIHc0Sfi+qgh4FwiulEdkEynf4QzhCnlxlSuklSN1GAygKG7+ZhCTHnSWqR7Pw6FUIIDk/GAeiqKXFU7ktmTQ7mUsKdJHyHUzrbBsIAXCap9gD8Zv8YiaxJU8jH+ZKG8Nlklu8+1QfAuza3USlJagemk/y/h+yOm/df3EmLJOkDuHvXMD94xC4hfO6Nq1jtQLEDW7X66G07uGfnMG5N4et/vplLV8l5OZ4Px0fCfPi/HmP70QkAzl3RwFfee/7LxsOkGyY9g1P0js7SPxambzRM/9gsfWNhBscjZI0XeiN+fqKrKYIyL4R8gpAXyryCkA9CXkGFH0cDbYsJTYGzqmK0l6R4ZKySqYyHR8YrORHzc15dmBJ34UpAd2Aat2LxVKyZI6lqFATrS0YdkacGLcIq1yD7jFb26i2UKSlqNblconIRo8Ma5ITWygGtkwojilci3ylgJWlKDzDkb+d4cCnl4Rk0iUHAFdE+Zsva0N0BwqWtVMTmTzwUwDt+mFT7FrLVnXgnjqJYchldxtARtFAtrsYl6AP7wZIsawlBYugoZZ1rKGntckycAFpC/hxxStNZ4MQKgKqgl4FwikhaRzetBZna8UI4Q5xeZsiX6UJ+d1E+DJPxDFnTTgovxGg+Ec8STutoqkJnpbNRG3tGI5hCUF/qpclBSvhDx6YwhWBxVUB66vZsMsv/HbLfWt+8rhlV8kn2nSf7iGdMFlcHuU6SZBiWxT/85gAZw2LTokpev15e2TkyEuUffmnL7++5aDFXrZXPiQGbNH3sth3ctX0Il6rwtfdsKhpp+vljR7nl+0+SyhiU+Nx86m2beNvFXS/ZkF2A8Zk42w4Psf3QMNsPD7P72CipzAs/gPxeFwGvh4DPTcDnJuiz/9zb24thKWRNMCzQLdBNMIWCKRRm0zCb/v2v1a0K6koEDSVQXyKoLxEswFjLeaHSa/Ca1gn2zpayY7qMwaSfX/Z7uLB+lrYS+eTu52KxfxYLhWdizRxO1aAocFbQGXnqdI0TEX4GzBq2Zju4xHuQgCpXmum0BplUK4kpJezXOjnLPCSV8NSa7GXSU0dG8zPob6c9dWLea1VhUh0+xnj1SqYrOgnFh1DF/AmqOzxMJh3D8pWSre6YiyqYL8ypQax0AtUXRKttxxyb/7nnER/ooXTxanw1TWiBUszk/MfRnIrGMh/7xqLEMgaRtEF5gReA360RcGskdZOZ5IuvOp0hTi8zTOXKdNVFUJsABnNqU3PIV1CI5uEp+4LpqAg48l2ZlmDXiF2mW99ULv0wjWUMnu63IwwuW1orffxf7h0ha1osrSlhvWRu1MHRKPcdthWUD1y4WDpx/X+e6ufASJQSr4tPXr1M+ucQTep86H92ktYtzllazftfLe+5gJw/6n92cue2QTRV4d/fs7EocQOpjMGnbn2Knz5i39jPXdHAv/3FBTQVQZKXRTSZ4cFtx7lv61GeOTjIwPjvjzwvC3rpbKqivaGctvpy2usr5n5vqC593vFBn/vc507796YF8SxEMgqRNEQzCpEMRNIK4TTolsJQVGHoFMGk3CdoLBUsKhe0hgQvZmSVqsDayhhtwRQP59Sn345Us7oixsbqSMHq2BL/DALYGmvmULIGFcHa4Jg0eVIUWOfuJ2oFCIsgT2c7udB7CE2Zf8lLRbDa6OFJ11om1SqGrTqaxfzLfhoWHcmjHCpdzZC/jbrMKH5r/nPgQrFBZkKL0N1BZkKLqM7lPM0Hc6pT20YyNUvwTB5DERKqkRAYw0fwLD4Ld3O3I+JkpuKkJ4fx1zZT0rKUyJEd0nuAHV5ZX+pjJJpmKJIqmDgBVAe9DISTTL0E5bozxOllhGTWIFXEMp1uWozFcmW6Ak3hfTP2zaLLYeDlkck4iaxJ0KM52uPR41PopqCl3M/SGjm1aSya5qGjtnn1LWc1S5E2Swi+8Zh9w7l8WS3LG+Tai49NxOaiBz58+VJqJZU2IQSfun0PQzNJGiv8/PNb1joalSOE4LM/3c0dzwygqQpffddGLneoWp2KwckY7/63Bzg0MIOiwIdefxZ/89o1L6qXKZ7K8n9P93DHowd5cMdxdOPkw0VRYFlbLRu6G9nQ3czGZU10NlVJK44vBE3FLsv5BISAU7wsloCZFIzGFMbi9q/ZtEI49+vgJLhUm0AtrRK0lQuK0A8yL1R4Da5rmeCZqRAHwqXsnS1lPO3hVQ3T+F2FdSst9c8ghMK2eBMHkrVoisXq4IT0Ppoi2OI5xu8yywmLIHv0Vs7yyJWMSkmyxOqnR1vEIW0RVcYsfuavXFVlJ6nITjPrqeJEcAkrYvP3CykIqmd7GK1dx0yog/JoPy5r/uVC9+wg6frluVynRXinjs97LYAxehx3+2rUkgrU8jqssJxXDCAxcAR/bTPBliVEenbi1PnfEvLniFOa5XWlBU/DqAp6GAgnX5Jy3Rni9DLCTNK+oEJ+t+OhuadiLJbBEnaCa1kBadJ9s8k5U3iNQ8P63txA4DUNIekHf9a0eKrP7qS7dEmNtFr1mwNjWALWNIXoluwGfPz4ND0Tcfxujfee3S611hKCL//fEQxLcOHSGi5fUS+1HuDnWwd5JGcG/7cbziLkkFB/674efvJ4H6oC//rODVx5VuGkaduRcd777w8wHU1TE/LzjfdfxLkrihuY+XywLMFvtx3lZw/u57fbjj6r/NbZXMWVW5Zy0bpFnNXVSFmgONEKTqAqUB2A6oBgVZ39wEnpMJ5QGIgoHJ9RiGUVjs4oHJ2xy3qLKwXLqgXNZWLBDeeaCufURmjwZ3hkvJLxlJdfDdRyedNUwXPvugLTCGB7vIm9iXoCqk6nX254LdijWTZ6TvBEdil9Zi31ZoRGLSy1xyJrmAmlirBaxmGtg3Xm4XmvVYCORA873LZRPOoKUWb8vpL5fChNjDKT6SDjDREua6c6fFTi2ALvRA/plnVkazrxTB2XGyZjZDHGe3E3LsHV0EnWAXFKTQzOmcR91U2kJ4ek9wCoKfHg0VSypsV0IltwRqHfrRH0aCSyJrOpLLUlL57qdIY4vYwwm7LfgioddJudDiNRW21qKPUW5DM5MWMPBl5c6czUN5vMzpUMV9XLm4R3DUVI6iaVATcrG+TWzyazPHbc7oZ5zUo5L49pCX7wjP12+8a1jVRIkpZ79o6ybyhCwKPxocuXSn/vBqYS/MtddjfN31zexTKHgZS/emaAr/7mIACfftMarnbgsXoufv7YUf7uO4+TNSxWtlfxvQ+9ikZJ35kTJNJZfnz/Xr5951ZOjJx8CHc0VvD6C1fwuguW090m3zjwYsLvhvZyQXu54PxWmEjA0RmVnmmFeFbh8JTC4SmbbK2rt1hStfAq1KLSNBXeCe4briaqu/j1YC2X1M/QWqDvqTswTdpysT9ZxzOxZgKqTqM3Lr1PnRZliWuMo0YDu7LtVPr241PmT+wUYIV5jCeVdYyr1Uxa5dSI8LzXB6wk9ZlRxnxN9AUWsyq6c94ERgEqI8cZrT2L2bI2KiMnpLxOntl+0o0rsLwlGKV1uGNy5MccPYa7cQlaTQsc9YAh2cIvBMnRPkoXLSfQ1OGYOKmKQkOpl/5wipFYuijhzhV+D4lsipmkfoY4/SlCN6250MuKApK98zBMi8mc0bzRgRE7j0TWYDRm79PhoBMMYF9uIPCiyoB0aKYQgsd77Tbic9orpeXdew+NY1iCpTUl0mrTg0cmGJhNUep18cZ1cgpNLK3zzVwX3bvPW0StZA3eMC0++bM9pHWTjR1VvO3cdqn1eew6Mc0n/ncXAO+9bAk3XCg/xuFUCCH4t1/u4qu/tPe8YkMbX/urCwk4DEOdL0amonznNzu49d6dhOP2wzxU4uP6y1bzxotXsqZTPtPr5QBFgboSqCuxOLcFRuNwZErl0JTCVFLh/hMaTwwK1tRZrKxdWFN5ucc2jj8wUsVoystvR6o4pzbM8vJEQfuuCY6TMD30Zip4LNrGFRXHCLnkU5+Xu4YZN0NERYBd2Xa2eI5JKXKlJGmzRujTmjikdVBl7EKViAhoTfUy7q0n4q4g7K6kQp+Z/7ETY0zpCXR3kHBpC5XRvnmvVSwTz3Q/2dolZKsXSxMnKzaDFZ9BLanEVdeOMSxnMgdIjhyndNFy/HWtKJoLYTpTIxvKfPSHU4xGM6yuFwVfsxUBD0ORFOFUFkuIgst/88XLN1TlTwyzubk7QY/meP7bqRiP22W6oEejtJChrzN24GVdiVd6EC7Y5ar9uQiC1Q6m3PfOJBmOpHGpCpvb5NrvE1mDB3tsX4VsJ9ypCeNvWd8sPS/we4/3MpvUaasK8GcbW6TWAnzv4RPsHQhT4nXxj3+22pEnZyyc4v3//Qy6YfGqNQ189DWFzZ2yLMHf3/b0HGm66bo1/NcHLl1Q0nSob4L3feVO1r3r//Eftz9JOJ6mo7GCf/6rV7P31pv5p794FWuXNPxRkqbnQlGgsRQuXmTx7nUm57SYBN2CpK7w1JDG93Zp/K5XJVJ489vzwqdZXNk8SVdZAoHCExMV7J4pLShtXFFgS9kQNe4EutB4ONJO1pJ/9GiKYIPnBAoWo1YF/Wa19B6d1gAekSWpBOhX5crKXitDQ3oYgL7AYqlEcFt1sr2Ss6FFCLmCG54pe61RVo/pkVd2jVHbG+Vq6JReC5ANT2EkoqguN/46+ftZHtVBD25VIWtac9aUQlDi0XCrCpaAaPrFm113hji9TDCbS0B1Egp5OuTLdI2lvqKU6ZyqTSemkySyJgG3xmIHpZzHe+23uvXN5dLk5YEjE6R0i5ZyP2sly1z3HhhjPJahKuDhNZKkq28qwe3bbTn7g69aKm1aPDAU5tsP2j6IW167ggYHxv501uSvv/00k9EMXY1lfOXGDQUZog3T4sP/9Rjf/61d8vund5zNx99c2J4vhJGpKDd/9TdccNN3uP2h/RimxTkrW/nhp9/I099+H39+7UZKinStvBzhc8GGRsE715pcvtikNijs0SkTKj/cq/Fov8pCzTjVFDi/bpZ1lbZSvG0qxNapUEHkSVMEF4b6CKhZYqaXx6OtWA72K1dTrHDZ5GWv3krCkiv3uDBZavYBcExtIYMc6W9J9aEKg7irjGmPXEm4LD6MZqQxXH6iJXKkTcvGcUXHQFHIVssnoRvjfQjLtE3ipZXS6wESIzZ5CzQ6V61VRaE+N85pJFb4G4CiKHMWitkiELH54gxxehlAiJOTnotRpjMtwUTcJmINBZTpImmd6aSOosAiyZlueeTLdCvqSqVN4bGMwd5chMG5i+QudsO05nKbrl1ZLyXhZk2L/80Rn7dtbMEn2Sv+jd/lxrIsqWaLZNCmblr8/e17MSzBq1fVc/VaZ2brL/xiH/sGwpQH3XzrL7cQ9DlXHS1L8OH/eozbHzuKpir8x19dyDtfvdzxfi8Ew7T45i+fYctffpv/vX8vliW49txuHvyPd/ObL7+dq87uQnuRw+5eSmgqdFUL3rzC5A3LDFpDFpZQ2D1mE6gDE0rRZs+dCkWBDdVRNleHAdg7W1owefKpJheG+tGwGMmWsT8pHysCsMQ1RpUaw0Bjp94ufU5NYoKQFcNUXBzV2qTWeoROU8qeVdnvXySlOqnCoiJXopsJdcjPsJu0VaNsZRtCdgSKkcWctBV0rV6eeAEkc8TJV9OM4nL+0pJ/Jo1G04gifHjzYkPeI/xi4E/nDvQyRjxjYAqBS1UokVRVTofpZBZTCHwulVABD8yBsB1B0FDikyYPYMcY9OYUK9lhvAA7h8JYwo5SaJZUXbYNzM4FrW1plyNdD/VMMp3MUh30cOXyOqm1B4YjPHFsCk1RuOkS+Vl0P3uqn2PjcSqCHj7x2pWO1MIH947y48ftCISvvmsTLdXOTdtCCD5921P84vFjaKrCf/7NJbzhPGdy/x/C1oNDXPI33+XT33mARCrLxmVN/N+/vZMffPINrF1SnJDOP1YoCjSVwWu7LV7bbVLlF6QNhQd7NX5+UGOqOPNTfw+rK+OcV2ub8PfOlrJ7prAE+Cp3is2l9kvJvkQdk7r8C5miwAZ3LyoWk1YZw5ZcCV8Bui2bBAwrtSSRU62a0gNowiDpKiXslru3lEcHUCyDrKeUlFfuvF2xMZRsElwe9JD89WCM2/cEV02Lo/lARjyCHptFUVX8tc4bTGqCXlQF0sZJX28hCPntZ1zasEi/YPJ/8XCGOL0MEMnVZst87qJ4NSbitvGytqSwbro8cWp1OET22HQCU0BlwFmMwfbBMAAbJQMrAR7osXObLllSg0siU0gIwe277FLA69Y0SpfZ/vtR+4Z8xap6WqvkHgoz8QzfesAu0d306qVUOPieTUTS3PKjnQC859JOzlvm7K0+j6/cvoNb7z+EosC/v+9CrtzYXtB+p0MknuaD/3E3V37kVg70TlBR6uff/+Yq7vnKO9jYXXhswisNrSHBW1aanNdq4lYFo3GFH+/TeHxAxViAYfHLyhNsrgkDsH06xIFwYd2THf4w7d5Z20MVaXHkdwqqGZa67LmT+/QWDCG3R4WIUW3NIhSV41qr1Fq3MKhLjwAw5JNbqwmDsoS9Nlwmp3YpgGfGVo30Crm1ANbsGELPoHj8qCFn94XUuH38QnxOmqrMBTznKyOFwKWqc/7b6ELVr5+DM8TpZYBI2mbdoSKZbE8lTk6R1s25fVpDzojTkQnbFO5ktt1IJM1wJI2mKKxrlvMnDYdTHBqPoSpw8RI5H8K2gTB9M0kCbo2rJXOX9gyGeaZ3Bk1VePd5i6TWAnzjtz3E0gbdjWW8zoGh3LIEH/vhDmbjWZY1h/jbawsrp33rrr187c49AHzhnefwunOdSfwvhK0Hh7jwpu/ww/t2A3D9q1bzzH+9j7dfsW7B/FOvBGgqnNUguGG1yeIKC4HCzlGVn+zXmF4A9Wl1RXzO8/TkRAVHo85K93lsKh0mqGaJW162x52Vo5e6xvArGVLCy1FDPiOt07KjRoaVWhLIWRqa0oMgLMKeKuKaXKBvedQmH7FgPYYq93LknrXP2Sirw3JJ3t+FwJy0y4xarTzxAkiN2+t9Nc0gWy48Bfln00RCvrvydMg/OyMvkkH8DHF6iWFZglgmF3xZQFktj2TWJJ6108edhlUCDEZSCKDS73bUTZc2THpn7Tt4t4Ok8G2DdnlgeX2ptCn8wVxK+Lrmcqokvwe377LLCFetqJP+uv/rEduDcM3qBholS4uHhiP8cpt9U/rYtcsdpYPf+vBxHj80gdet8m/v2oC3gDkeP3ukh8//eBsAt7xlA2+/bJnjvU4H07T41588zjV/dxuDExHa68u568tv5+t/ey1VocIeyn9KKPXC1Ustrl1qEnALZlIKP9mvsW+8+N6n9VVRVpTbL0OPjFUwEHfun/SoFueWDaAgOJGupC8tn1HmUixWuexrpseoJ2nJXevlIk6NNQOKwjFJ1clnpanJ2h27w37JtdkovkwYFJVIqVzJS8vE0RLToKjoFXLHBTAmbeLltFyXDU9ippOobg/eKnmymkeeOM0ksxiyw4dPg5PEySiKb+oP4QxxeokRyxhYAtyagr8IA6vyDL6iwCHB/fkyncNRLcemEljCnrlXHZR7MzItwc4h2xS+qbVcam3WsHg0F3gpO9Pu6GScXUP2rK7XSc5w29E3w86BMG5N4Z3nyqlNQgi+/JuDCAFXrGngLEkjPMDh4QhfufMAALe8fhWdDqIf8nj60Cgf++4TAPzVNat4/7VrHO91OkxFErzhUz/mC7c9gmkJ3nDhCh76xns5e6X8g+AMbCyqEFy/yqQtZGEKhYf6NO45qpItouVDUeDsmghLclEFvxutZCbj/GWv1pNkRcAmH8/EmkmY8op7kzZLtRrFRGOfIa/Sdpo2kRhVaogjd69rStnK0aSnjowqd4/Lq06R0hZpk7h7xj7nbGWb9ForPI7IplHcPtRyOf9mHqkJm6z665xfr0GPPaTXEifnsxaCUq8LBbuxJ70Q9ern4AxxeokRnVObiuNvyn8IC0llNS0xF2fQWu7s7f/olG0KX+pAbTo+lSCWMQh6NLpr5cyoOwZnSWZNqoMeVjXKkYdf77M9Exd21kgPjfzh0/bN7No1jdSH5NY+0TPJzr5ZfG6Vv72yW2ot2MTrMz/ZjW5YXLKqnuvPly8T5jEVSfHX33gI3bS4dvMibnnzRsd7nQ6H+iZ41Qe/z2N7+gj63HzjQ9fy7b97zUs6FuWVgoAbruuyOK/VRFUEx2dVbj+gES1ONQSwydP5dbM0+NPoQuWBkSp0y/l9a3VwnGqXne+0Iy5veFYUWO0eAATDZiVhS+5+FSJBnTUFikKvJqf+lJoxQrrtkxr1ynnxShOjqJaO7g6S8smZxD3hIbBMLH8Iyytp1hcCYypXrqt25lOa8znVOvc5KYpCTYmtEE4WgThpqjKXV/hi5DmdIU4vMfJdBaXewv1NQgimcx/C6gKGBE8mMhiW3ZVX5SAewbAE/WG7TNcpaZAG2DdqeylWNpRJl6ye7LNzn87tqJKKIEhlTR4+aitV166Uk6B7J+M8c2IGVYG3bZHzDggh5gzhbz67jXoHCt9dO4bYeWIGv0fjs29e65iAW5bgA//5CBPhFF3N5fzbX15QVJ/R/duOccWHb2VgPMKihgru//d389bLVr8iwitfLlAU2/v0xuV26W46pfDT/RqjseIdQ1PgssYZgi6DiO7miYlyx3upCmwuG0ZBMJApZywrbzwvV1O0aPZ1f0iX90stsuxmkBGlRjrXqT4XiDnhbZCMJjApSdhxKdGg3Dkrpo4rZit1ern812tO2+esVTrzlmWmxxCWiStQgivgXNnOP6NmksWJESjNleuK0an3h3CGOL2EEEIQnyNOhfubElmTjGmhKlBewGyG4Xx4Zpmz8MzhSArdFATcmrRB3RJiLvtpVYPcRRnPGOwetkt850hGEDx6fIqUbtIU8kkrVT/LZT6dv6RG2tv0ZM8U+wcj+Nwq7zhfPlgumTH48h12ie4vX72UBocdkAD/efc+Htk7jM+j8c2bL8FfhM9kHj95cC/Xf+5nxFNZzlvdxm+/+k66WuWTn89gfqgvgTevMKkOCFKGwi8PafSFi0dQfZrFxfUzKAiORoP0FGAWr3ClWeK3xyptjzc6Csbsco0AglGrgrAldw2UixghK4pQVAZVuZem6uwkLksno/mkowny3XXxYIN0krg7Yq81QvJdp9asTXxUfwmKA+IjTIPMrE3cvNXOY0KqcsQpkjbQzcLLa/ln6Bni9ApHSrcwLIGqQMBTuL9pOsfcy/1uR+biPEZOIU5OkB/T0lEZkCZeg7MpomkDr0tlqWT+0LaBWUxL0FLup0UysPPeg/bb3+XL6qTOOZLUuTdX4nvzJjnp+lS16U2b26gqlS9X/df9PYyFUzRXBXjPpfK5UXnsODrOl362HYB/uPFsuprlygcvhFvv3clN//YbLEvw1stWc/s/vpXKsjMG8IVGqRfeuNykvdz2Pd3Vo3J8pnjkqSGQ5awq+yXnifFywlnnRHtNcByPYhA2/BxLy3v8ytQ0zTnV6bAuTybaLZuIDKgNWBIkRsWiJjMGwJhXTsEJpKbRzAym5iHhl3uJcEVH7S65QAWWW/JlyTKxwvb9zqnqlJ6yv1++GudxIT637XMCijN+JUecUrqJUQQi9kI4Q5xeQsRz/qYSj6sowwnzxKmqgDJdxrDmfFJOiVM+9LLDwYiVfJluWV0pLklz+5O58SznSJqrh2ZT7B+Noirw6m45Q/lv9oyQMSyW1JWwVjJv6smjU+wbDON1qbzTwfDdoekE38kRr4+9biU+h+Q7nMjw119/CNMSvObsDt560VJH+5wO//XrbXzo6/ciBLznmvV87YPX4ClCE8QZzA8eDa5eYtFZaSeO33NUpWe6eORpbWWMBn8aQ6g8OFLpOEfKq5qsDtoP8z3xejKW/GekO6c6jVgVRCRVpzoxjVdkyCoexhQ5ElOfsUnEtKcGXZk/eVQQlMbtl65YUE65UY0MWsK2FughJ+U6+5y1Kofluskccaqqd9Sdl0e+63m6COU6j6bic9nPjHh2YVWn4mnxZyCNvKTopN3/dMiz9kKI02gsjcCORnCSYj43pgVoc1A22u+wTBdO6Rwct9ee3S435iQ/mmVjawXVEqVFSwh+udMu071pQ4u0uvZfDx6z125updqB2vQvdx4ko1tsXlLN5Q5HswB84ntPMDydoK2ulH9+97lF8xx9967t3PKfvwXgpjds4bPvvuRl62eajSbZeqCfI/3jTEcSTIfjzEST9p9zvxLxOAGPgs+tEnAr+NwKAY+C361QU6JRH3Lhdb38vj5NhSs6LR44AYenVO47pqJgsaSq8LZtVYGLG2b4ZX8dM1kP26ZCnF0bcbTXUv80R1NVREwf+xK1bCgdlVqfV52GzCoO641s9h6f91oVQas1xlGtjX61gUZzct5rS8w4QSNKwlXGhLeepvTQ/M85MUI41E4sWE/d9H5UMX/m6Y6MYJbUoIca8U7N/2sFMGds4qOGakFzgSlHNLKRaSw9g+r24gnJ3W9PRVXAzWA4VRTiBPazNG1kiWUMyhdwluUZ4vQSIs+Ki0GcMoZFUrd7jysK8DeN50IvGyS7yvIYzI9pKfPhc8m9Nc4ks0zEs6gKdNfKdePtHgojBHRUBaiVICFCiLn4gldJqk27B8KMRtKUeF28SnI0y8GhCLv7Z3FpCu9woDYdG4tyT460feINqxwTkgd3D/Lrp3vRVIVv3nQxpQWQ7lNx79M9fDxHmv72zefwyRsvetmQJiEEx4emeGpfL8/s6+Xp/X0c6h2b19pEVgCnf7gpQE2pRlO5RlPIRVO5izKf8rL4ulUFXtVh+x8PTqr89rhKicekobAJKgAEXRYX1s1y30g1B8IldJYlqfHJl15UBdaXjPC7SAdHU1WsCE7iV+Ue6F2uUYbMKoatCpKWh4A6/wdyszXGMbWViFpG3PRTQmrea+syY5xwlTHlqZUiTr5MGJeRwnD5SfkqCaam5r3WFRmFpjWYwWqEqqFY88+eEKkYViqO6i9BLavGmp3f5/+UHUhPjxGob8Nb4SzWAKDSn/c56VhCFFx5KfG6mEpk57zDC4UzxOklghCCVI7oyAY8ng75xNQSj1ZQftNkganjgxH7ZtMi2ZIPcHTSLvG1VgSkM6125Uzh65rLpdb1TicZiaTxaCqb2+RKfP+3377ZXLKsVnqW30+esuMLXrWynloHJdFv39eDEPCqNQ0sdzCSBiCVMfjUD54E4L1XrmRNh1zK+vNhZ88If/6lO7AswY1XrH1ZkCYhBLuODPLDu7dyx8N7mJyN/96/6WyuYW1XMzUVJVSFglSWBakqD1JZFqAyFOTb3/42KV2QygrSuiCpW6R1QSIjGI0aRNOCiZjJRMxk16D9wC71KnTXe1jV6KG65KUtUSoKXLLIIqVDb1jlNz0af7bCpNx5juUcWkvSLC5NcjwW4PHxCl7TOoETm2WDJ06VK8m0EeBwspp1JXIP9JCaolqNMmWV0WvWsEIdnvdaLzrVYpZJpZJRtYYl1sC811ZnJzgRXErUVU5W8eAR8yNsChBMThIpayXur5UiTmo2gZJJILxBjGA17tj4vNcCWJEJVH8JWnmdA+IE2dlJAvVteCqcj3UKejRcqoJhCWIZo+DpGUG3/SxNFjPA7DQ4Q5xeIqR0E0vYb1n5umwhCKdO5kE5hWkJpnKSaa3D1PGhsG0sb3YwpqVn0n6YLZE0hRumxf5RmzitbZJLIH4spzZtaC3HL+ERyhgmDx22O0sulxzNEk3p3LfXlsrffLb86IOBqQS/yXXy/dXlXdLr8/jPu/cxOBmnsSrIh1+/zvE+p6J/LMz1n/0ZqYzBpes7+Mr7r3xJSdPkbJyf3r+D2+5+hgPHT5Z+vB4XZ3W1sGXVIrasamfzykXUVLywyllf9sK3y1jaYjhiMBw2GQ4bTMRMYhnBtv4M2/ozNIQ0VjV6WFbnwet+ab4nqmKX7X5xSGEioXDnYY03rTBxkDrye9hSE2Yw4WMq46EnGqA7JD/7RVFgZXCCRyLtHElVsTwwiVeVewgudk0wlS2jz6hmmWsEVZl/SbLBmmRSrWREraHTGpi3TdxrZSgxIsRdIaY91TTkfE/zQTA1QaSslUSgBjHDvI+pAK74BLp3EUZprTRxMsMTuOo7HM+tm+usq6hFCOHoOlcUhXKfm6lklkhKL5w45e7hGdPCMC1pn+x8cYY4vUTIM+KA21WUB0ueOBUSQzCdzGIJm8g5iUeIZQzCadvf1CSpOAkhODplEyfZ0Mwjk3FSukWZz8UiSUP6Y8ftNujzF8sZQp88Nk08Y1Bb6mWtZLr5XTuHSesWnXUlrG2T7177r9/2YFqC85fVssrBeoCR6QTfvGsvAJ966yYCRZiTGEtmeMtnfspkOMGqjjq+e8vrF+zG9UIQQvDbpw9z611Pc88TB9BzE9O9HhfXXbCaG67ayPlrO/EWQek9FaU+lW6fh+5c5UI3BX3TBvtGMhyfMhiNmIxGUvzuSIqldW7WNHlpqXjxb8FuDa7rMvnZAY1IRuHuHo3XLzMp9EcVcFmcVRXl6clytk+F6ChJ4dHkfVTNnijlrhRhw8+RVBWrgxNS6xvUMF50MngYtcpp0mbnvbZWTKMJk5TiJ6yUUiHmH4BVnZkk7gox5amVJE7TKMJEdwfR3UE8emLea12xCfQqmzjJworY31e1rApUDSRKfQB6ZAphWWi+AIms6dhyEvLbxGk2rVPo7ACXpuLRVLKmRUI3CZ0hTq8sJHS7BhssQgyBEILZdOHE6dThwE7I3FCuTFdb4sUr6W8ajWWIZ0w8mkJbpZxatXsoDNhqk0yNfGg2Rd9MEk1V2CKZ+5Qv012+sl7qmEIIfr7VLgG8cXOr9Pd5dDbFL3Mp5X99hXO16Ys/3UYqY7BxaR3XbnGeNJ6HEIIP/sfd9AxOUV9Vwo8/92ZKX4I08Md3H+eT/+/XbD90ssxyVncLN169mTdeuo6KFzEGwa0pLKl1s6TWTSJjcWA0y76RLNMJi4OjOgdHddoqXVy0xEfdH1Czig07ZdwmT6NxhScGVS5oK7yFe3l5nEPhIBHdza6ZMjbXyBvFFQVWBSZ4LNrG4WQ1y/xTuNX5n5uqCNpck/QYjfQaNVLEyYVFnZhmRKllVKmRIk5V2Qn6gp1E3BXoigu3mJ/PRhUm/vQMSX8NcX8tlXrv/M83bpvYLX85luZBNefv6RKpGFYmieoNoJZWzRGpea+3TPToNJ7yGsbjGcfEKe/Jzb/8F4qgRyObskhmCy/9PR/OxBG8REjkFacivPVmDIuMYaePFPJByUffOx0OnCdOzQ78TcdyZbpFVUFcqtzHcu+I3U23tqlcat2TvdO5dSFKJQYsJzIGT+VKfK+WLNMdGIpwfDyOz61y9Tr5DJQfPnIc3RRsWlLNhk5nAZIHB2a44wm7C+ezb99cFMXzZ7/bz68eO4RLU/nBJ95AQ1URXMcSiMRT3Pzln3H5Td9g+6EBAj4Pf/2mC3jm1o/y2Hc+xJ+/7twXlTQ9F0GvyqZ2H+8+u5QbNpWwusmDqkD/jMFtW+M8ctQOjX0xUem3DeMAu8dUBiKFfw40BbbkyNL+cAkJw9kjpsUboUxLkxUuR7lOi7RJQDBhhaSH/zZYNoEYVWuk0sADVoqAEUcoKrNuuU6zYNImQImA3DWtGhnUlP39NkvkPYpzqlO503Kdfd6TCedzfcp9+VEpBqaT9NPnIO8ZTiygz+kMcXqJkDeGFyP4Mpo5qV65Cgi+nEkVNq5lLGZfPE7yn/pnbdLVUSn3cItnjLlOvuX1cg/rXflBwpLlrm19M+imoKXST6dk99/9+2yl6qLldZRJqoNZw+KXT9tKyrsuXiy19lR8K1eiu2bzoqIYwqcjST713/cD8PEbLmDjMrmZX4Xi3icOsOHtX+J7v34KgHddu4V9P/0kX/nA61i52HlMw0JAURQaQy6uWB7gz88tpavOjRDwTF+GHzwdY3B24VOPT8XiSsHqOps8/a5XRS/Cs6YlmKben8ESCvtnnRFoVYFuv/1ycixViezA+6CapVq11aIRS+76rhIRXMJAV9xEFLnru1K3X8ZkU8QDKXtdylshnSLuyuU5GUF5gmlF7eOqpfJrwY4lAJgpQC3yu+3nlgASRchfyodqporxYX4enCFOLwFMS5DJJcXJdo+dDrEijG0xTIto2t6n0gFxMi3BZNwmXnUOMokGZm0jaatk4nfeUN5Q5qNMQm3TTYt9I8468Z7K+aLOlvRFCSF4IFfie5XkPDyAh/aPMh3LUBvycZGD9QCDkzF+/dQJAN5/7WpHezwXn/7OA8xEUyxvr+WmN2wpyp7zwVQ4zrs+90Pe+LHvMDIZoaOpmnu/9n6+8bE3U1/lfIbWi4WQX+M1q4O8bk2QoEdhNmnx4+1x7j+cJGO8eOrTOS0WJR5BNKOwdbjwR4KiwJoKm7QcCgfJmM5e5tp9YTQsIqaPKUNeLcyX6IZNOeKkIqgW9tpJRY5QlOt2CG/YXSGlVnn1GKqpI1QXGY8c2dQS9jHNgAPiFLPXqiXOiJOeWz+b1BGy7DYHRVGKOi7Ff4Y4vTKRzplVNVXBXYQhqtEiEKfZtI7ANoY7IXPTySymEHg1lXLJcmE8YzCdC+9slQzNPDJu36Blc58Oj8dIGxblfjftEoOIhRA8ecwmTucslpPjD49EGZpJ4nOrnNMlr/Tk1abXbmpxbLr+9j37MS3BBSsbWbWo8Flxj+zu5acP7kNR4Kt/cxVuSW+bU+w4NMDmd3yFn92/E1VV+MBbL+aZWz/KBWd1vijHLyaW1Lp5zzmlrGq0X1h2DWa59ekY04mFbanOw6PBRe32i9zOUYUp+Wa430NLME2FR0cXKgfDctfm3HmpFm2+MADHU/JNEI054jRtlZIScvekaitPnOSOW6aHUYRFRvOTVuevvCuAP2MfM+WTO6aWtNeZgXJptcqKzyCEQPUFwS3/wqvHIwjLImOezBF0grLcsytaBOKUj4YxLFGUGXinwxni9BIgz4T9bq0o/pJYTimSUVyei3zqeKXDtNXxXJmurlTeWD4wmzeVe6RJ25EJW3HqqnNWplvbLGcoPzoRZyqewedWpbvp8mrTeV210t62qWiaRw7Y7cav3yIfYQAwHU3xk4ePAPD+69Y42uNUpDI6H/76vQC899oNbOh2PrdKBr94cBevfv83GJuO0t1ex8Pf/iBfeP91BHwLlxS80PC5Va5cEeDNZwUp8ymEUxb/szVO33RxDLN/CB0VgsUVFgKFB09ojgbtngpFgTWV9kvNgXCJ41EsHT6bFPRnyjGE3H3Fr+hUqvb9YURSdarJKU5RtZQM87+valiUGva9RbZc50/niJNXbp2aiYGZBdWF5ZdUWk0DkbI9oo7KdZaJkbC/3kLmzRVTcdJUBW/uxXKhVKczxOklwKnEqVAIIYhli6A45fxNlQ4DXcZyHXl1DoIz+x2W6bKmxYlpu3W3y0HSODgwlOfUpg3tlVKdg6eW6S5bJV9m+/W2QUxLsKa9gsWSXq48vvfbg6SzJms6qjlnufOp5nn8608ep3d0lsbqUj5540UF7zevY/7Pg9z4mdtIZ3WuOGc5D//XB1m/rNAm5pcP2qrcvH1zKU0hjYwhuH1Xgn3Dzo23Mriw3cKjCcYTCvvGC3+hW1yapMRlkDI1eqLycysB6twJgmoWXWgMZuQy2gCaVLuUJFuu86JTZtnET1Z1KtdtAhRxy63zp+1zTfrkynwK4ErYxzRegnJdNmqvz3tknaCYxAkWvlx3hji9BEjniVMRyhppw8K0bIG2kGiD2Zy5z+m4lkISx4cjdmhmS7lcmW5gJolhCcp8LqnjGqbFoVyJTzYwc0e/fZPY0iFXphuaSdI3mcClKVwgOdoF4P922bkwr93kjCSYlsWPH7LVpr+6ZnXBSuf4TJxv3bEVgH9+3+UvSvTAN29/lL//z7sAuPnNF/GzL76H0kARYq9fZgh6VN68voTlDbZx/N6DKQ6PFWeW1wuhxGP7nQC2DhduFFcVWFVhKz6HI86Ik6LAopzqNJiR962dWq7ThdzjLq86zajlUutCeeLkklvny0ZAWJguH4Ym97meK9f55UuaJ4mTs0w4PRYGCosTyBOnRNbEcuiVOhW+M8TplYe8MdxbhMTwfJCm360VNOcnz/TLvM6IU/5tw8mA4bGYTZwaJLvx8iW+toqAFBHom0mim4KgR6NJYt6EaQkO5qIP1rTIEa5tJ+yb06qWcoKSyuBMPMPuPnv9paudmcKfODDKRDhFeYmXV68vXKH55h3PkM4abOhu4qqzlxa83x/Cj+/bzkf/4w4APvnuy/nnm1+D9hKEa75YcGkKV68IsKbJvp7u2p+kd2rhy3YrawVlXkHKUNg/Ubjq1FmWREUwnfEwk3GmiDd77WtuNFsqXUIMqlmCShqBwrQlp9SWC/u4YUVuXYkRAyHIaj6yyvzvh6qw5sIvZQ3iatoul1k+eTXaSuZKdQFnDRVGwl5fiFrkdalzI3oK8Uqduh+cfNYWG6/cO8/LGOkiEqdEEWINTEsQzxGwMok8ozxSuklKt7+mCslSX8aw5mrj9ZLdeE5LfEdznXhLa0ukCFfvVJxk1iTg0VhULVca3JbrxNsoqVQBPH5oAiGgu6mMBsmvNY9fPnEMgOu2LMJToNI5HUny/bt3APCRt5634CNV7n3iAH/5hR8D8FdvPJ9b3nX5gh7v5QJFUXjVMj/ddW4sAb/ak2A4vLBxBaoCGxrzRnHVsTcpD59m0RK0X4yORZ19dqtcKbyKgS40JnR55SofSzApTZzsdUnFL+VzcmHiN+17U9wld0xv1iYhGY8cidHS9jrTVyZV5gPmPE6K35kFwMgRr0KM3YqizMUIFGPO3BxxOmMOf2VACEHWLKbiZH9YAwX4peK5PVyq4mhu3kwyP9DUhUdSBZjImcpLvJp08uxgjjjJJo3nDeVLJEe77M0Zypc3lqFJdEMKIdieU5w2dMj7CPKm8AslwzbzSKZ17t1mp42//tzCu87+81dbSaR11nTWc9kG53lS88ETe45zw6dvxTQt3nL5er78N699yQcGv5hQFYWrVwZYVOVCt+DnuxJMxhe2225ZtaDUI0joCgeKpDoBHIsFpPOYwC7XNeVUp5Gs/MO9Jk+cTDky4sYkKOxzj0iqTqWmfb7yxMk+V2nFKRMHYYHLg3BJjrtKJxCWiaK5ULzyxNRI2uecNqy5Z5sT5BtmiqM42c/DrHGmVPeKQP6DpYA0yTgd8h+yQvxN+fymMq+zuXmF+KPyZbr6UvnZdvlSnbTilCdOkoby/cM2cVop6YsamE4yEU3j1lTWSIZtmpbgsYN54lQntTaP3+4cIJHWaa0pZf0S55PMARLpLN/LqU1/++ZzF5TEjEyGuf6TPyCd1bnq3BX85y1vRZVMlX8lQFMVXrMmSGPOMH7H7gQZfeFynjQVzmo4mSheaIddazCFR7VIGC5GU868cI0e++E87MDnVKPlSm4igC7k7pP5ct2sk3IdEHfJna/PoeKkCAs1Y5f5TJ/k90gIRMo+XyUgT0yFoc+9cBdSrgsugOKUNUVRPFPPxZ/eXeglRr7m6nGpRXno5IlTIYpTNGMTHydlOjipODkJzhw7JcZABlOJLEndRFMVqaRy45ROPNlhwgeG7Zva6mY54rT9hF2mW9NaPmdanC/29s8ym8hS6nezbpGzrpdfPWmPV3ndeYsL/sz94uEDhONp2uvLuWrLwnmbhBD8+T/9L1PhOKuXNHHbP9z4omVEvRzh0RTesO5kVMEDR4oQtvQCWF4j8GqCSEahP1zYZ8alwqIS+3yPx+TU4TwaPHEUBBHTR8KUe0HzKzolShpQmLLkrvmKXGddWJEjI3niFNOcKU5ZdxBLkXs8q7lynXQkAYX7nOZymNLOiVPeblIMxcmtKnOeqewC+JzOEKcXGXnFqRhqE0A65y2SfSCfivxMn6DDuXn52na5A+I1PTcfT444jUVtpaqu1CsVBjkWy6CbAp9LpUFipl5aNxmcsW/+splRh/KEq61cah3A7l67xLeps8pR6KVuWDx5cBSAqze2S69/Lu549CAA77jyrAU1Z9/31EEe3nEUr8fF//zjO/B7/3gzmooFv1vlutV2KeXAqM5YdOH8Tm4NltXYb+pHZwp/wVtUaqvDw0lnXZBe1aTSZe8xqct7pfJ5TmFLbm2ZsNfFlYCUdyho2uuymg+T+d+bNTODauqgKOguuXPVMvYxLY98uU2k7bWKz1n3Y3CuK875ZzIfIZAuAnFSFGXuGVtI+fD5cIY4vcjID/J0F+mhk1ewnHiT8ihUtSpk5Eu+zCebH5Uf7yIbfzCcm2vXGPJJdSEOziQRQKnPRYXkEOSjY/Zb5NJ6+be5vf12m/Hqdmdq0/7+aZIZg1DQQ3eLsz3yCMdSPLHX9kpdc25XQXu9EEzT4tP/eTdgm8EXNxc+T++VgsaQi+X19rXyyNG04zEX88HiCvve0jurUOizp86fRUEQ013EdWf3mSq3/eIy7YA4hRR7bVSSOAVJgRDoihud+d/fXMLAZdn3qJQ2f5VNAdyGfa66S06dU7L2Ossj//0RGXut4nVm4J8zdhdAevKhlcUydOefsQuRHn6GOL3IyP8Q3Vrhb3GGZWHmbpyFGM1TRSJOsuZuOJn9US7pj5qI24pTjSxxiuSJk9xNqX/avrG0Vwelyl1CiDnitKRB3j+wf8AmTqskU8rz2HrYDt3c1FWPWuB4n/u2HsO0BMvaauhoLIyEvRD+977tHDwxSkVpgI/ccNmCHeePFed3+tAU6J8x6JtZONWpoRT8LkHGVBiJFfbZ8aiCKq99rY+lnKmHVTnFadqQL/eVqfbaiJBbq2Hhx7YTxBU5UpHvrEtpcuvchn2uultunarniJNb/vtTLOJUSG5S/hmWLlJpLT/OTC/UpHcanCFOLzJ0K0ecimByzX/ANEXBVcB+hShOQgjiDhUn3bTmSJdsjMGEY8XJJlxNkmGbfVO2L6q9Sk7KHplNkcgYuDWVtmq5tdFklr4J+7grHRKnZ3LEaXO3s468U3H3U3aA5tXnLJzalMpk+cfv2GNcPvL2y6goc3YjfyUj5NdY12J/7hdSdVIVWFRh7318tvAXvXq/TUDGHBrE84rTjOGXNqyH1Fw8gPBhSAZh5jvrEsjdM/yWTYDSqty6k4qTJHHKKU7ij1VxyhEn0xIYVuHk6Yzi9ApCMUt1xQrSTBYwAiapm+S+JEokPVJ5tcmjqdKkLZ9UXlMi9/Y6kkspb5LwNwH05QzlbRIDgeFkma6jtkT6Z75/IAxAc1WACgeJ7JYleOZIcYhTMq3zux22yXwhAy+/9fPHGJ4I01JXwfvecN6CHeePHWcv8uJ1wUTM5ODYwgVjLs4TpxnFUZTAqWgI2Nes0866Mi2DhoUhNGKm3B4+xcCLDijEhNy1HxQ2AZJVnHymvU5acdJzipNkqW6OOLm8CFXufioy9jEVB6QLTj47CiFOLlUhX4gpRnCla444nVGc/uhhFLFUVwziZFjW3AfLCXGKZ06qVTLZRvDsMp1st9fUHHGSu4GO5kzljZLEaSBnDG+TVJyO50a7dNbLT4g/mMuNWtXqbBTCibEIkUQWv9fFyjb54M1T8fSBAVIZg+aaMlYvLly9Oh0Mw+Q/fvwwAJ9+75X4HKbY/ynA71HZ3G5/hp/pTS/YcVpCArdqZzpNpwrbq95vq8ThrJuMKX//UxWodNsnMeOoXJf3OcmtLckpTklFUnHKlerSEh4nKMDjZBlg2vdUS7LMJ7IphBAoqgpueQN/MUp1iqLM5S8VgzjNlerOKE5//DByGrMsyTjtXnMkzPmPMWvY52PnSsmfU9pwrlblu/lKvHJrLSHmSnyy3qjZXHRClaTBeyofm1Am2f2XU7gaHSR+D+VUrvZaZ50ux0ds4tXZEMJdoCq551hOuVresmDZTU/sPcFUOE5VKMibX3XWghzjlYS1zR5UBaYSFtOJhQn6c6mQ//hNJAr7ufs0C79mn2dUd9bBW6rl/EamvE8qoOTM2kJurQ97XVpifAqAJ2cOlxm7AuAy7XWmJv81qob9/REuybVCgGEfV3HLH9dzSm5SIaXjvKBgFMGXlH/GmmdynP74kf8huorw8Mmb3twFkLDsKQqYkwdiuoCuvnzQmWyZLpk15zwOMob0rGnNkbVy//xvDoZlEc6NhamUJFwTOeJUJ6lwAQzlDOlNkuXBPHrH7RiERQ66+Z6L/SfsEM6VHc5COOeDOx/eC8DV563E9Sec2TRf+NwqbZX2579nfOHKdTVB+2KbShZ+zwp57BeeSNYZcSrR7Ie7bJYTgN8hcfIKe10GuXXu3DpdlTtXLUe4TNUjPT5FyZEf4YB0iTxxkiVdPPuluxAztquIKlF+L/OMOfyPH/kfYqEdTnCSlbsKKPsVmiuVySlOTsqFST03LkYy9TyvNvlcqpTaFsmVBjVVkVK5wkkdgV0qKJcM+RzPlQZrJZUqgJFcebCx0hlx6hvLEye5wM7TYd9xmzitWrwwxMmyLO58xCZOr7lo9YIc45WIpbX2Q7lnYgGJU8C+z0wWqDgBlLnta9ep4hRU7a8z4UBx8iv2Wlni5MkpTlncUkTGnSNAhupBMP/vnZZTnISqIRS5e6OSX+uA/OQVJxys1ZRTAicLID35JqeiKk5niNMfP8wiluryrLyQjrpsgeW+k4qTA2N5XnGSNJXP5UZJBm7mVaNyn5ynaiYX0lkR8Ej/3PKKU61EujnY3YrDOcWp2SFx6h23S3WFKk6xZIYTo3YQ50IpTlsP9DM2HaUs6OPi9QtnPn+lYUmtGwUYj5mEUwtTrqvOE6ckBRvEC1WcgjnFKW7JP9x9c4qTnALkQbe/cEUhKzHs1y30uW+Yrsx/nSJMFMv+WZqa3Lm+VIrTswInC/An5UWAYkQIaMqZUt0rApYQc28sWhFKdUYRS3Vex4pTPrncieLkrFTnNP5gzowuGX0wnYs+qJTs4NMNa450yZbqwonsHLF0qjj1jhWnVHeobxIhoL6qhJpyZ36rP4Rf5cp0V567Aq/DBPs/RQQ8Ki0VC1uuq/SDqgiypkIsW9heoQIVp1NLdbLPw3ypLi2pOKnkyBNIESeFHHlCrlynAJplrzNVuXOdU5wkCRfYM+fAGXECipLUnY/pMYpQqlPPKE5yuOOOO9iwYQPnn38+F154IQcOHHjBf//444+zZcsWLrzwQrZs2cJjjz22IOd16rDBYihOxVCvCi33FVLqy4+L8UuSrmQ2X+KTu/nGHQZ1RtP2DSUkaUSPpPT8i6p0iW8qaps8y4NuvA7ztcZypb6mavmOvlPRO2qHcC5tqS5onxfCjkN2IvmrtyxbsGO8UtFRbX+eR6MLozhpKpTneH84Xdh9qyRHnBKGMw+bX7XXW6hkJQf2ehV7bQaXNOlyY6/NSihHAK48cZJcp84RJ0nFKddV54Q4kSNOuJyR2rynqJAyWzHLa3lxYiGG/Dp+tbv77ru588476erq4vWvfz2LFi0q5nk5xtatW7nxxhvZvn07XV1d3HbbbVx++eUcOnSI0tLfT27u7+/n6quv5s477+Siiy7ikUce4ZprrmHv3r20tbUV9dxO/fkVoy8p/4EohIOd3MPZJnOeLQfr8xKqLPGby8KSXOeU5GXnYh/kbtT5mUtelybtaZtLc3eovqSz5tzPtlTCCH86RBJ2ubGy1NmA1vlgeDJXVmwsLDbhTxEhv/15jqeL33adR74qXujgereaK11Zzt7ZNUWgIBAomELumnKR//4oWChoEo4lLbfWkrxzq8JeJyQH9ioO15Fbh+w6QBSwFk4+AwohKvnbZDE+yflH0kLkwzpWnN72trfxve99j2w2yw9+8AP+4i/+gkceeaSY5+YIX/rSl7jqqqvo6rLTjW+44QYMw+DWW2897b//2te+Rnd3NxdddBEAF154IV1dXXz9618v+rmd+vMrRkt3fr9C9soTe6fky5ojP/Jr59QuyYOfVMnkDup03E2eOHkkDfCZHPlxUsZM5Q3wksb5PBLpk2Ubf4Glr2huvE2oxNmA1j8Ey7IYyRGnxurCjex/aij12p+vWGbhiJNHs6+5TIETXtyqfY665TxQ06XYe8gmgGunPI5NyUdfngBZkusUHK6bI05y9yrHhAsgl9atOCZOuW0KICr5r7YYZEfJ7bYQufqOidOnPvUpbrvtNm655RY+97nPD+naywABAABJREFU8e1vf5vh4WHe/e53s2fPnmKeoxQefPBBNm7cOPffqqqyfv16HnjggdP++wceeOBZ/x5g48aNz/vvC0E+36JYKTj5D1ch9VarAMUImEsNd6Q4zZUa5b6Cufwqp0qVJOFy2jmYyZUinZTaUnnjvIP5fwCJjD63vtAOzkjCLhuWBReGOE1FEuiGiaIo1FcXHp3wp4ZSX05xyhSWofNCyDehZgpVnBT7/GzFyNkeTomTgiD/GJUmTjkCJE+47ONZfwSK09xah81GxVGccmSnCJ/jUx9Jxb4uHD9zP/KRj3D99dfP/beiKFx//fV861vf4q677uKDH/wgs7OzRTnJ+WJ6eppIJEJ9/bOTjevr6zlx4sRp15w4cULq3xeC/M+uWPmB+Q9ocRQnZ3vkiZcTs7vpcK3u0JeVfZEVp/Sc4uScODlZC5DIGeFLJH1Zp0O+VBcKOhuV8YcwPBEGoK6yFPeZ/CZpBD32u7UlIJFdIOKU4+8Zo7Cbl0s9eX7Oy3XOSIyinCzXmQ7VKlnlaK5UJ/m6nFeqXhLiVHCpztFy+9BFUK2euxcUX3Uqujl8amqKNWvWMDs7y7Jly7j99tuLfYjnRTJpm2G93mff4L1e79z/O90amX8PkMlkiEajz/o1H8yV1oqkORWDiBXqk8r7lJyoGidT1J2uc1qqk1WcnK5znnGVyhng/Y5Ldbn1DhWrUxHJlerKFog4jebKdA1n1CZHUFWFoNe+/mIL5HMqluKkKicVI13So5RHnvzIKk5wkgA5VZyklSOn6+YIl+S6XLlNOFGNrEIVp9w2RVCcrCJQnVOfs8UWYgu+q0ajUe655x7uuusuHn30UYaHhwFbGlMUhZtvvpnf/OY3fOtb3yIYXJhW5jwCAbttO5PJPOvvM5nM3P873RqZfw/wxS9+kc997nPS51f0QRVF2HDOQFfoKTjYwOnpnzym3EFPysByx9McyseFSNd5w7zTNy8tp6qJIjxH8yqQsQDDMgE8OQ9W1liYrrBi4TOf+cxLfQrPi+9e/SnimQQ33/TXrOhoKPr+n/v+79h2+1Oce/YWPvMXrypor9ve+QMM3eTDf/tBGqvkOz6f+acHCI/GeMeNN3J2V43U2gf/4X4ySZ2b3v/XdNTO/9gf+/kexnumuPaaa3jtuqZ5r7vl1wfYNjDLa1/zGi5fNv8MtC8/2MPu4Qivue46Lloy/6/xqb4Zbt8zQndXF+++8dXzXgfwWO80Tw/MsnnTJi69/mqptXCqMOAcc2JAAXu8GHBMnO677z6++c1vct9996HrOkIIvF4vF154IRdccAEXXHABmzZtoqSkhGPHjnHzzTfzqU99io6OjmKe/7NQVVVFKBRibGzsWX8/Njb2vMft6OiQ+vcAt9xyCx/60Ifm/jsajdLS0vKHT3COpBTnAZR/LyhE1iy0Ll3IPCDNYfvqXCy/5Lp8iU42zv/kHCa5dXlvk5OBlXlTeF55kkXQZ5fo4unCs33yJbpoYmGGyTbVlAMwMhFZkP1f6UhlskxH7LmG+e9lsVGsBgHdsOaaJgI+Z2XkuTK2AzU2oztTgfMzPWXL9U5V7rwfU7YBxmnDDRTWIQ2Fd2jDyWdjIXvM7XXKM6nY4zUdE6c3v/nNRKNRamtredOb3sS1117LBRdcgM/3+xdWZ2cn3/72t/nEJz7BDTfcwJo1awo66RfCJZdcwvbt2+f+WwjBzp07+eQnP3naf3/ppZfy5JNPPuvvtm/fzmWXXfa8x/B6vb9X3psPVJwpHs8HpQhGukI7IQohXk5nCeVvQrKEK7/OMXGSJED5m3PawcTwfAxBymH/dzBXoksUgTiV5R6W+ZJdsdFYY3fSzcaSJNNZAr7C4hP+1JDvSAz4PAvW+VisBoF80wI4b3yYa5yQJE5CiLnsOFnvYF4NlY0ycdrJa1pO1znP9pvrkHZIMuaalYrguS0Gz3lWF3sR9jsVjj1O3d3d3HLLLQwMDPD1r3+dV7/61aclTXm43W6+8pWv8PWvf52+vj6nh/2D+PjHP84999xDT08PAD/60Y/QNI13vOMdALzrXe/i7W9/+9y//8AHPsChQ4d49NFHAXjsscc4dOgQN998c/FP7pSyWDG7BgrZqtAuhrlYewfMy2nY2VzQmiQBOkmc5I7nlDjlb8757jqptUVSnDK6WXAKb1nAfkmILJDiVBb0UeK3j5EnAWcwf+S/Z001oaLEnJwO+Z99oT63ZI7Ie1wqHoeNAE6jOk69fr2SESFzExakFSdnnbx6gVEtzoiT/bvTLtxi5AqKIjQ8ndzr5J+LfV04Vpw2b97M5z//eel1ZWVl/OVf/iX33Xef00O/IDZt2sStt97K9ddfj9/vR1VV7rvvvrnwy3Q6ja6ffOtpa2vjrrvu4qMf/Sgej4dMJsPdd99d9PBLWADWWwQjXaGdEHkfYSE+HulSncN5Rvm3N+mSm1PFaY44vfiK06llkERaL6gjLq9i5FWHYkNRFBprQvQMTDA8GaazRc638qeOfHhoQ83CZWDl1cZCOyvjuW5Pp2U6IYTjcNhTX2BkI0IyDjtrnc4CNRzOITXnCJe8JjIXSOy4VGf/XlCprsBcwWftRXHjf06FY+J03XXXSa/JZrN8/etff0HjdTHwute9jte97nWn/X8//vGPf+/vzj//fJ5++ukFPSd49gfKEs4l0TzmWjcLEBTyH1CnEff5i8xJzL7TiP68XK5Ll86ceY7y61KSBCjfEZcxLHTTkrp5BnJtTPGUM8XJ69bwujUyukkkkS3ogVdRYieGT84mHO/xh9BcV07PwASHe8e58KwlC3acVyKO9I0D0FJXsWDHmIrYXcYVBabHR5P2LLVShzEZyYw593D1e+XIT35Uk0tTpIlM2qk3yqFSlc0pVR7Jh4Seexg4UZwK9TiZRVCcihGxk0ex439OheNS3aWXXiq9xuPx8NWvfpX//u//dnrYP2qc+oEqxsTmk8SjgKGKDn0/eeRvCE4M0P7cW19SkpAEc2+aCckyVig3NyIq6fupyA0Fnk3ITTgN+d1z6th0TE6tqSu3H1CJjDH3sJFFc25G3cBEzNH6PLpa7Rl1B/sm5nK7io2LNywF4DeP7VuQ/V/J+M2j9oDk/Pew2IgmM/SPhYHC5xX2jdvRLS01vz/+aj4YmbUJXKnfTYmkajWRm/9YXSL/EjGbsO8ZFUE5/11+sHj+3jNf5O9tQUkfWMrh4HQ4ZWC7g/gUcG6EPxWFmNufC6c5gfPBiz7k96abbuLP/uzPXuzDviygKMpJM3YRHkBzk6QL2OvkRGtnezhVceCkuTMpWY4qzd2EYpLzH/JDevM3s/miMneznJYkTqqqUFtql7kmonL+oIDXRUWJfdzhmZTU2jwW1du5SL1jhfmGlrRU4XVrxFNZBsbDBe31fHjtRXbDyKO7js11iJ3BH8aR/nEO9Y3jdmlcec6KBTnGwd4JABqrS6kKFVYt6M0Rp/xnUxYj+cHVlfLKV/4arAvJGdzTujk3ILxSgjhlTWvu3iYzINwSYu7eVipJnJIOjfMA6QJy56Cwge955O0XslMhTgens1DngxedOP2po5jTn4sxjfokcXKmOOXfTtJOiJM7b4CWJE65m0ksbUiZ2stzN69o2pD6/lfm3lBjaUPa51Sbu0mPR+SN1c2V9kNqeNoZkThJnOYX0Pp8cLs0utts39He4+MF7fV86GiqZlVnI6Zpcffj+xfkGK9E3PnwSbWpfIGGMO89bse1rOqYfw7R86FvLE+cnPmxhqbzxEmewOWvwVpJ4pRXmj2aSokEkYnkXtA0VZFal8yeLEc6Jk4OFKf0nOIkv1YIMWeEL4Q45asnslMhTodCOgz/EM4QpxcZc11o/5+9846Oozy7+G+2qffeJcsqtiz33jHNxjQDBkIgQEgIJSFAaB8QWgIh1FBCh0DovRkbgzHuBfcmy+q91+115vtjdmXhGPDMrAwhvuf44CM8s6vZnXee9z73uTcIrbqA2Flb4aROMB3AwVadGgG0ulZdYDHxiJIipis61DggFFTSrosONQwUqd0KBdLJ0XLR1aGicEoPFE6qGSf54RTY5WtB4KG5t6btB/6legRYp49X7x6y1/i54aPVuwA4Y87oIXuNvTVysVyan/oD//KHESji81K0MU7pKgqnAOOUHK2scAowzfERJkXamwCzHRtqVKQbCrBNYUa9Yh8nu0c94xRYS9UwTl7xoDuhUl3Wt84T8K9S6V4+GFrF7t+HY4XTUUZwGSdt+iT4tieSmsm4wO5EDeOkVqsUYtANULlK2nV6nTBAmffaj7xwEgSBBH/brEdhuy6wSAf0FUqQMVA4aWWctI/4Bx6ae4aIcYKDD/+VWw7Qa/7uyKNjkFHT3MWuimZ0OoGFM0cN2evs8TNOozQyTpIkDXwX1bbqmnvUM06BzYviwskq3/OBNeBI0edfY2LDlWmxAmuaEpYqgGC06kIVWjXAwY23IGhjeILaqjvGOP18EIz2WgBqnbAHI2TQjkaTwFvF2Hyk/+ZWqlUShMEFkLJCJt6/iHValTJH8mLb2qeMOUqPk9sn9V3Ki58cfyREVas6cXdBRiwANa1mrA51AvMAxhXKMR4b9jbg8qib9PshjMhLZVR+Om6Pj8fe/HpIXuPnhL+/8iUA8yYWkRSnPLrkSNDVb2OvX+M0vjBd07nqOyxYHB6Meh3ZyerE4YF7ISdJeXxXo7/NF7gnjxSt/TLjmxylTFTe5Wen48OVFlzyvapUUC4N0kZFKrRq8PjEgVZbmIpWXWDjHKLXaZqIC4bAPAAtnlY/hGOF01GG1im2wdAizA5ApxMGdEpKW2ZwsG3m8omK232BnVifw6OY7Ury6446rMoKgvQYedFsUdg6y0mQd7j1CvVGBWnyzrqqXXnxMyo7FoC9DX2qDEpT4yLISY5ClCS2VnYoPn4wxhWkkxIfidXhZt2uek3n+j7cftl8AJ58ZzUtnX1D9jr/7dhb3cLry7YAB6/ZUGD55kpEUWJ0fgoZSdpCmDeXy8zV2PwkQhU+2EE2g61slVt9o3KUWS+IokRlm3wPFqYpK9rq/JuenERlxVqTf5OVrlBT1eHf1CUrnP6zunx4RQkBiAlTdn2tftbfqBNUtersGqb5ApAkSVO78FAEswg7FMcKp6OMwCScR4v5kh8hg4TZWpzIB0TaKgqnEINuoKdtVTrlFmpEJ8ieVmansmMDhZNS5igjVl7EmvqU6YZyEuRFs04hc1SQKi/Sjd127AqvT1F6NEa9QK/NPSCKVYrJRXKLLfDQUgudTmDBVHnc/bONBzSd6/tw6qxRTC3NxeHycO9LQ2OS+3PAHc8sQZIkFs0dw6SS4Jv1BvDZBvmzXjitSPO5At/BKcXqtFJljf2IkizuTo1Vxho19dhxenyEGHRkJSgrgOr9916uwuNa/ExVYM05UnT4rUuSFDJcvX5WWdZkKnu0D57iU8MYabFBCMDtO6iTCk7hpM61/UhwrHA6yjjYXtPeqgu02SSUu2gPhlo/pQAGptwUFgY6QSAmVJ1FQIA2V1o4qWWcAotmvcICJi7CNLAAKmWdQox6ijJkgffehj5FxwYQeEhpLZwAFk6TC6dlmyqGzM9JEATuvUo21/33Z5vZXzt0YvT/VqzZXsXyjfsx6HXc9TvlKfZHCqvDzaodtQCcEozC6YC2wmlPQy9wkIlVggo/25SfEqm4dRNgmQOs85EisMYE1pwjRaefRVfKOPX619A4FeaiFpe89qvRVcFBqUaYCm1VAIEBI6NeCErIb4CcCIZe6lAcK5yOMoLZqtPrhIEvhZZ2XbgGnRIcvNmUFk4wyFxSoVYp2S/U7FDKOPlp8+Z+ZYxTbqK/VddjVyzsL/C3BgKtAiUozZZbErvrexUfCwcfUjurO3GqzL0LYOboXKIjQujotbG1vFnTub4PU0vzOG1WKaIocddznw3Z6/w3QpIkbn/6UwB+ffq0IY2nWbmtGpfHR15aHCNytb1OW6+N+nYLOkFgYkGyqnPsqe8DoFRhmw6gyn/vFSgUpffbPQODJNkKCidJkgbWmEyFhZPaVl3vgBhdeUi2VaVvVADBaNW5NNghHA7HWnU/I6gNmv0uHGzXqSt6QL0tQABRJg2Fk3931KNgyg0GaZwUOnJn+in+NrNTUfGaFhOGSa/D7RUHxKJHikL/Yn2gRbktQGlOLAC76noUHwuQmxJFSmw4bq/IlgptE3Emo56TJg0H4MM1ZZrO9UO4+4qF6PU6lqzdy7L1+4b0tf6b8K9PNrJtfwORYSHccunJQ/paH63ZD8DC6UWaIzDW72sFoCQnnigVD3Y4eA+UqmCcyv33nlJ9U22XFYCU6BBF2XjdNjdOj4hOkI89UoiiRJe/cEo6qoxTcAqnMA2F02CBeTBwsFV3jHH6r0fAHMzlU1/oDEaYBn1SAIEJDKUapQAGJtwUttvgYPyBUuYoPVougLpsbkVMWUKEiagQA6IEdQrabnqdQL5/yq1MYQFUmiW327bXKWeNJg+XIy521vZgUXF9BUFg3thMAD7eWKP4+ENx7rxSAN74chdm+9CE/gIU5aRw1TmzAfjtX9+guqlzyF7rvwXbyxu44bEPAfi/S08mJV7dZNqRoKmjnyUbygFYfJx2q4OPN1YDMG9slqrjG7ps1Hfa0OsExuXFKzpWFCV2+hnbUVmxio4t84vRC1OUXesqvxYyKy5cEePRbnXhESVMeh2JCuNdBrRRCm0T4KA+KkZl+PIAY6VC9B+AY6D40l6WSJJ0MCdQHxwGazCOFU5HGYF0bY9PnW/SoVAbWzIY0f5dhlll4ZTg30H2qMhUS/Xrf9oUMkdRoYYBa4HGviMvgARBYLh/lLmi06roNUszZOZob7MyX6QJwxIAuVXXo7BAzEmOJDc5Ao9PYsMBdZNxZ82UWaLPNtdqbtcdN34YBVkJWB1u/r1sh6Zz/RDuuWIhk0bm0Guxc9p1z/xPT9kdqG9n0Q3P4XJ7mT99JNecP2dIX+/Zj7fgEyVmjs7R7N/U1e9g9W65tXvWjHxV51i9V9ZHTchPIFohY1XdYaHX5ibUqKckU5lj+d4m+V4vVXhcZYe8thQotE1o8GfxZcaGoVOozWmzyJqq1ChlYnQ4yPjHK/ScArlICTw7ohVaKAzGQfNO9ecIwBXwleIY4/SzgFF3MK9Oiy4pgEBP2aaBcRrIfnN7VRVzcYMYJ6XTfYGbvN3iUvza2XGy5qChV2HrzO8hE1jcjhSj/ELtPU3KCqe4CNPAdN32WuUttzklsk5p9T51rbYpRamkJ0RgcXhYsaNR1TkC0OkE/nD2VAD++cEmHC7lLNiRwmQ08Pb9l5GfmUh9aw+nX/8sPeb/vRy7xrZeTrvuGbr6bIwvzuLluy5CFwRn5e9CV7+Nl5duBxj4rLXgk001+ESJMcMSyU+PVXWOwHd/TonyIm5LtXzPjcuNU8T+SJLEHv8mKXDvHykq/GtLYbIyf616v8FnjkKvKYfHR79/MjlF4TSexycOFD5KPacAHF5xwAZBqX/UYGiJizkUgWeryaDNV+q7cKxwOsoQBGGghxuMwingvq2FcYow6tELIElgU3GeQOHk9Io4PMp+p8QIE3pBwO0TFU/WZfsXl8Au7UgRWMwqlBZO/l1nZYcVp8JCdeIwub3wTY2awkl+WKze167KdkKnE1g0Xd7pf7i+SvHxh2LxcaVkJkXT0Wvj1eU7NZ/v+5ASH8Wnj15JWmIM+2vbOOuG57EOYYvwp4bOXiunX/8MzR19FOUk8+FDlxMVrpxRUIKnPvgGu8vD2II0jp+ojiEajA/Wy226s2YMV3W8w+1lU6Xcqp1bonwib0tNNwCT8hMUHddmdtJldaPXCYxIUyYqD7DZhQqNPhv9m8DApvBIEWDsY0MNinVGAYlFqEGnqmix+Au2CJNek9mklriYQxFMP6jD4Vjh9CPgoHGldp1TuEYrAZCLuYAoUEmGWwBGvW6g3dej0KFarxMGevJtCmNJDjJOygqngiS5cKrttikSiKdGh5IYGYJPlNjfqkznNMnfrttS3a3oOJB1TmEmPR39TvYrZLsCCLTrVu5soteiPDdvMExGPX88dzoAj7+7ccicxAPISYvnk0d+R3x0OFvK6vnFbS9hd2pzQv9vQK/Zzpl/epaKhg4yk2P55JErSIwdGofwgde0OHhhyVYA/nT+DM279eqWPnZWd6LXCZw+bZiqc2yu6MLlEUmLCxuYUD1SiKLENj/LO2mYMm1UoE1XkBxJqIKCotvmptvmRidAvkLTzHr/WpatMFKmzZ/Dl6KqTefP4lMp2jf7WWe1wnIAUZIGnmERQWCc3P5na0iQJvQOxbHC6UfAwWDcILTqTAfdw70aTDWjQmTWqF+lzilw03UpzHIDSPPHmbSYFZpSDmrVKfnd06JDiAox4BElqjqPvPUjCMKA1mGHQl+lCXnxCALUdFhpU2i+GWLUM71IHgdfvrNF0bEBFGXGUZITj8cn8tbqClXnGIxfnjSGtIQoWrstPPn+Js3n+yGMHJbGBw9eTkSYiZVbKjj590/S2qU9g++nisqGDuZe/g92VjSRGBvJp/+4kswU5WP4SnHfv1djc7gpyUseMDzVgtdWygLz2aUZJCkcyw8g8J2fU5KiuJDb19xPv91DuEnPCIXttp2NfYByfVO5368tOy5cEftjcXoH1s8shQafrf7CKVXBBF8A3QOFkzpheKBFGK1SWA4HN/46ITgsUbAn9A7FscLpR0BoECbhAjDpdQNfjoCJmRrEqQi/HYwUP2vUrlD8DAcXCaVapbSYUMJNelxekYaeIz9WEARG+4XeO5r6FL3mFP9Ez0aFzFFshInxufKxX+1Vbup42iR5GumjzQ2qzSd/fXIJAC8s24dL43cvxGjg7suOB+DhN9dR1aScSVOKSSU5fPTQ70iIiWB7eSOzfvMoO8q1abZ+ili1rZLjfvcYVU2dZKXE8dljV1KYrc77SAm+KWviX0u3AXDv5SdqZpt6rS5eXyk7jwe+e0phd3lZtkMWlp82UflE3gr/vTarOFmxvmmD/x6fMkxZiy+wpoxWqovqlAuujJhQxUaUgbVTacEFsr4UIEWh/UEAgYk8NTYIAWh1Lj8UjiDYI3wfjhVOPwKCYSEwGAedu9ULdQO7DaWttgBSBom8lSKgVarvdSjS8OgEgSJ/2+1AhzJzyXGZsQDsVDghN82vk9jX3D8QxnmkOH6UrM/4UkXhdMLoNKLCjLT0Othc2aX4eIBFM/JJjQunvc/OB0HQOp01ZyTHTxiGy+PjT08u0xT7c6SYPmYYq5+7luLcFFq7+jn+qsd58NUVeILQ9v6x4XC5ue2pTzjtuqfptdiZXJLD6uevY1S+tnDdI4Hb4+O6J5YiSXDBiaOZNSZX8zlf+bIMu8vLyOx45o7OUHWOL3e1YHN6yUqMYKJCjZIkSazYI99rJ5Yq00bVddlo63di0uuYoNBwc4e/xTdOIVN1oEOdLsrrE2n2M045CrVRAG1WbYVTj18jFa+lcHJq85E6FMcKp58hBmfDBeNhMzAVpzDvbTDiw2TGSM1kHBy86bpsLsXO2pkxYegEedehVCBe5F9kDigUegcKp70tZkXhxMnRoQxPjkQCNisUep8wShZ576zvpcOsTGcUYtRz6gTZj+n9jepCdk0GPZefInvyPL1kDz6NeYmCIPDg1QsICzGwbnc9b3y5W9P5jhR5GYmsfOaPnDKjBJfby13Pfsacyx9lZ0XTUXn9ocDaHVVMufhB/vHG14iixC8XTGLZ41cPqVfTYDzx/kbK6ztJiA4fYBK1wOHy8tJy2ST1qtNGq2YRPtjUAMCiKdmKx/PLW8w09dgJNeqYUaTM+Xy9n20anxOnSN/UY3NT32NHAMYoZJwCm78ihZN4zf1OfKJEhEmvuN1mdXmxuX0IKHcqB1kiEhgoigtTp5EC7Qacg+HxyVN+cKxw+lkhxKBDQM6YC4bOKUqjDxPI/ht6QcArSqocwGNCDYQadPgkuXhSApNBN6BzalCo/wlMyB3osCgq+LLjwogPN+L2iQMmd0eKAOu0oVoZ85MSE8aY7FgkCVbuU846nT0tG5A1H2YVnlkAFxxXREy4iZrWfj7fqq4AG4yc1FhuuVD2FLrjhRV09h0du4CYyDDeuf8ynr/9AuKjw9lV0czs3z7Knc9+hnMILRKCDbPNyR8fepf5f/gn1U1dpCfF8O79l/HcbRcQGqJ+B68EVU3dPPzmOgDu/d2JxEcrZy0OxVurK+ixOMlOiuLUKXmqztHQZWPDgU4EARZNUd+mm1mUrNgbaGOVfG9PV8hyBdp0w5MiFGl+3F6RGr8hr9LCqd7fpsuJC1dcoAakFQnhJlXRJIE2XYRJr0mbZA5i4RRgm0L0Ok1Tft+HY4XTjwBBEDQH6w6G2pDdwdAJArGB+BOVDtUB1qlNhc4pQDHXK9Q5DUuMwKAT6Hd6FZloCoLAWD/rtEPhpFpgMd1U061YkH+Cv2Xw5R7lhdPonDiK0qNxenx89I06bU9kmIlLThoJwD8/2R0UxvOKMydTOiyFPquTm59aflRadiB/hhfMn8TW125h0dwx+HwiD726gikXP8hHq3YdtfehBj6fyL8/28yEC+/nhY82AHDpaVPZ+urNnDJTu1O3kvdx/RNLcXl8HDd+GOfMVadFGgy318dzS/cAcMWppRhUCnTfXV8HwIziZDITlE2nSZI0cI+dMEpZm87q9LLLvyZMVVw4yccF1pYjRXWXFZ8oERtmVMz8NPgNgLMVej/BQRsDpd5PARxs06lnm0RJwuYOfuE0VGwTHCucfjQEs3AKWAE4vaImBivBT/OqmYyDg2aWgVRwJciNl2/66i5ljIVJr2O4X+e0V2EUykR//MImhTlwozJjiAkzYnZ42aYwRuXE0jQEAbbW9NDYrex3FQSB82fKu/d/raxSHRT965NHEh5iYHdtFx9t0B7DYtDrePSaU9DrBD5et58Xl2zTfE4lSImP4rW/XsIb915KSkIUVU2d/PL2l5l40d959I2VtHUrzwgcKjS09XDfS59Tev69XPm3t2jp7Cc3LZ7PHruKJ28+j5hIdZNnavG311azfk8DEaFGHrp6flCEuS8tL6Ox00pybBiLZxeoOofF4eGNtbUAnD8zV/HxO+t7qe+yEWrUM6tYWZtudUUHPlEiNyGcLAW2AD5RYnO9vJZMUBjtssfPeo9IiVL0GUiSNLBm5qrQNwUmmVNVFk6BZ0WCyok8kDf8ogQGnRAU88uAp2FYEPygvgvHCqcfCREDUSnaPXCMeh2R/vMp1QgNRrLK3LgAsmLlwqlRYQguwPBEufhp6nMoNvMc69cS7GjuU3TclNx4dIJcrLUoeM8GnY7jR8hTTp8rFHqnxYYxvUBeyN9TwRqdPS2bhKgQmrrtLNmqTtOTEB3G708fA8B9b23BrsK761CMK0znrl/L2pjbn/+StbvqNJ9TKc6YM5qdb9zK/116EhFhJsrr2rn9qU8pPOtuzr3lRT5ds+dHEZE7XG7e/mIbp177NCMX/5V7X1pOfWsP8dHh3HvV6Wx97WbmTlBXYGjBx2v38+jbMtv1jz8uJDdNu91BV7+Dxz6Uo3huPnciYSqdpN9YW4PZ4SE/NYoTRysXx7+7WdZGzR+TRqTCMfnAPX2yQqaqrM1Mr91DZIhesb5pgKlSeFyH1U2/04tBJ5CboKxw8okSzf5NbqZKq4gOlYHEgxF4ZsWGGoNSuNv8vnLB8IP6LhwrnH4kBHruapy6D4dAm61Pw0MwOUL+8nfa3apG3jOiwxCQfT2UGmkGKGqJgwGZR4rAYrOvzYxbAeMWE2YcWODWKbQXCCyqayo6cSj8DM/x6zU+3tqERyFDGGYycOk82czymeUHFAvxA/jtKaPITIyktcfG05/tUXWOQ3HlosmcNWckHq/Ir/76HuX1Rz+YNzoilNsvW0DVR3fz5E3nMmVULj6fyGfr9nL+rS9RsOgubnniY1Z8U06/VXmBf6To7rexbP0+rn3oPfLPuJNf3/MaX2+tQJIk5kwo4MU7LuTAB3dy7QXHERaivs2hFpv2NXLlQx8DcOWZkzlrjvYWHcAD727D4vAwOi+RxbPUFYN2l5cXv5KnPq84qVCxKLzP5h5o050zJVvRsZ0W1wCLfJJCl/LAGjI1N16RXqjH7qa+V52gvNLvUJ4XHz4QIH+kCAQKhxp0JCkMFAa5JRbQJgWeHWowUDhpmMoLQJKkg9EtQci8+y4M3ZmP4XsRYJwcHh+iKCleHA5FbJiRpn6nJsYpJtSASS/g9kn0ODyK07lNBh0pUSG0WVw09TsZqXCnV5gUQYfVRWWnldHpRx5xkBUbRkK4iW67m7J2M2MzYo/42Jn5iexo6mdtdTfnjs884uNKM2JIjw2lpc/J2spORYvs7OJkkqJD6DS7WLGvjQVjlO2oL5iVx/NfVlDTbmX5jmZOmXDk7zuAMJOB2y+YzBWPr+SpT3dz9szh5KYoi5U4FIIg8MR1p9HSZWHTvkbOu+Mtlj96CalHaTJsMKIjQrn09Glcevo0yuvaeXXpZt74fCsdPRaeeHsVT7y9CkEQGDkslWmleUwZlcvU0jzy0hMU73pFUaSioZPNe2vZtKeOTXtqqWj4diBzVkocF50ymV8umERuujLdTLBR2dTNhfe8i8vjY+H0oqBM0QHsrO7kzVWyb9NdF01Rvaa9vb6OXqubzIRwTp2o/Lv9yfYm3F6RorSogZikI8WXZW1IwOjMGNIVeCJJksQ6f7TLrPxERa+5y2+Jkp+oTFAOB6NdAmkIStDkZ9kzYkJVMT2dtoMxL1qE4YHNfjAKJ7fvYG5eMKJbvgvHCqcfCSa9DoNOnmKze3yKDc8ORWyodsZJEASSIkJoNjvpsLoUF04gU75y4eRgZIqyB2ZhUiTranuo7FJmLSALvWP4qqKTHU39ygqnYQk8ubqa/e0WuqwuEo+QchYEgZNLUvnX+jqW721TVDgZ9DrOnpTFM19V8fbGesWFU1SYkYvn5vP40nKe+vwA88dlqHpILZycy8ySdNbta+G2lzfw2k0na6bKQ00GXv3zOcz/0ytUN/dwwV3v8MnfLyJSg3hUK4pzU7j3qtO56/KFfLlpP+9/vZPNe+qobelmX3Ur+6pbBwTaMZGhJMVGkRAbQXx0OPExESTERBAfEwGSRFe/jZ5+G939Nnr67XT32+jstWA5TH5eUU4yU0vzOOf4ccydUDCkwbxHis4+G+ff8Ra9FgcTitJ55oYz0AfBXdnrE7n5xXVIEpw1I5/JRcoz5QBcHh8vrqgE4IqTCxULy0VR4h2/hcG5U3MUf5/VtukqO220W1yEGnRMzI5VdOxOv8RAaZtOlKQBdr4wSZl4Hg4WTlmq23SyvklLm84nSpj9NjqxodrLkUAHJ8yoRzcE4b4BHCucfiQIgkCESU+/04vN7dVcOAV2Ki6viMPjUz1RkBIpF07tVpfiwgfkm3BrUx+NCm0FQN5xCcg3ZI/drSg7aWxGrL9w6uOSydlHvGAmRJgYmRrFvjYLa6q7OGvMkRv1nTxKLpw21/QoKroAzp6SzQtfV7Ojrpd9TX2UKJzCuWhuPi9+VcWBFjPLd7awYLxyg0FBELjv0umccMsHrN7dzNurKzl/rvaYjfjocN6+53zmX/8yu6rauOCut3n9znOJCle/wAYDRoOeU2aOGphaa+3q55t99WzaU8umPbXsONBEv9VJv9VJVZOyNmOoycjEkdlMGZXLtNI8JpXkDHmunFJ09tk4+7Y3qGvrIzc1ltfvPJdwDTEZg/HUp7vZV99DTLiJO345RfV53lxXS3u/k5TYUM6crKzNBrCmvIPGbjtRoQZOGadsQ1LVYaGy3YpeJ3B8cYqiY1f77Qsm58Qpykdze0X2+IdalE7iNfQ6cHpFwow6MhU6houSRFOQ9E1a2nRmlwcJMOqFoEzBBabzhpJtgmOF04+KCJOBfqcXq8uLihrlWzDoBGJC5fP12N1kqLwZAtMVrRYnkiQp3rFlxoYiII+p9jk8iujXMKOevIRwarrt7G21MFvBKPCotChCDTq6bG4qu2wUKqCujytMYl+bheX7OxQVTjkJEYzOjGF3Uz8fbW/mN7OPPMQ0OTqUk8ek8dmOFp79qorHL554xMeCHOFy6bzhPLmsnL9/uJfjRqUSqmKxGJYWw5/OGc/f3trKn/+9kQkFyRQoYOy+C3lpcbxx17mcfdubrN/TwOI/v8k795xPdITyENKhQlpiDGfMGc0Zc0YDsoi7trmbHrN9gFXq7rfRY5aZJZ0g+NmncPm/0QfZqGEZCZiMP93ltLXbwlm3vkFFYxcpcRG8dc/5JMUqZykOh28OtPHQe9sBuOuiqSSqXHt6rC6e+EzOtrt6fjEhCh+kkiTx3EpZG3X2lGzFGpf3/MMWswuTiFEwJeYTJVaUy63ZuQXKJvh2Nvfh9IokhJvIVRjsu9c/iVeUHKWYXWk1O3F5RUL98gql8PhEOvytujSVE3kAPfaDdgbBEIZb/ZorrUTED+Gne6f/D0AO1nVq8l8ajIRwE/1OL90aCqekiBAMOgGnV6TH4SFBYWJ2qEFPRkwoTf1OanvsjFNIP5emRVPTbWdPm1lR4RRi0DMxO451Nd1srO1WVDjNK0zi2XW1VHfZqOywUqDAgO6cCZnsburnwx3N/Gp6LiYFvf7L5w1n2c4WVu/vYH9zv+IQ0t+eWMB7G+tp7rHz4leVXL2gWNHxAVy5cDTr97awZm8LVzy+kiV/OV31NNRgTCjK4IP7LmDx7W+yZX8zZ/7f67z3118ExWBxKBAWYmLksLQf+20EHU0d/Sy69XVqWnpJT4ziw/t+yfDM4Oisei1Orn5yFaIkcdaMfM6ZNVz1uR5bsh+zw0NxRgznzshVfPy6A53sa+on1Kjn4lnKTDf7HZ6BNt1ihbqqLfW9dNvdxIQamObPsjxSbKiV7Qum5cUrKn4kSRqwMChNU65NrO2RvZ9y48JVtbTaLC5ECSJNek3eS1oDhgdDkqSgOpB/H378pvv/MAIfrt3jUz0dNRiB1la3yqBeAL1OGGCdWhTGggQwLF7eydb2KHeRDiwCNV22gd3DkWKaP0R3U12PousZHWpkhr9I+3x/u6LXPK44mcTIEHpsbr5SeGxuUiTz/fqmZ79Snh0XHmLg5kVy2+nZLypoVWgeGoBOJ/DYVXNJignjQFMvd7+6WdV5Dofxhel8fP+FJESHs6uqjYU3vkpdqzLvq2NQj7017Zxy47+paeklOyWGJQ/8KmhFkyRJ/Om5tbT22MhLjea+S6erZg3Km/t5a53s23T74tGKHZ8lSeJpvzbq/Gk5xCvU3XyysxmXV6QgJZKxCj2YAmvGCUXKgoTtbt+A0/j0XGUFV7vFRafNjV4nMEKh0zhAjb9wylPIcgXQYpGfDenR6oTlIH9mPfaAD5R2DaTTe1AYHjGEE3VwrHD6UWEy6AamEYLBOgW+fBaXV9FY/qHI8MefqC2cAjdjfZ9DsbN2fLiJjJhQJKCsTVlwb2l6NJEhcruyrE2Z6eGCEbKm4auKDkXXzqDXcY5/h/rWN42K3aovnzccQYCvy9opV2jgCbBwQgYThsXjcPt48KO9io8PICkmjMevmoMgwGsry1myuVb1uQ7FqGEpfPLAhaQmRFLR2MVJ173Mxr0NQTv/MRwen2+u4JQbXqG508zwzASWPPArclJjg3b+F5fv44vtDZgMOp75wzzVAwCSJPHXd3cjSrBgXAZTCpRNpQGsrzjINv1qtjK2yesTB9p05006cn0kQK/dzUa/ge78kcp0UVsbe/GIEmnRoeQoLGACbFNhUoSiLD0Aq9s7ELWiunAyHyyc1MLi8uL2SegHpVZogWVQm24oheFwrHD60RFgnaxByNcKMRw0wuxxqHP/hoM3Q5vFNRCWqARJESYiTXq8oqRKJD7KzzrtUVj8GHQ6pviTzAMU+JFibGYsyVEhWF0+1irMoDtzbAYmg46Kdgs7G/sUHZuXHDkwVfeMf8esBIIgcPvi0QgCfLq1iW0K/agGY9aojAFjzBufX0tde/Act4uzk/jy0UsZMzyVbrOdRbe+zquf7/hJx6L8t0IUJR57dwMX3vMuNqeH2WNzWf7wxWQkabObGIxdNZ3c+8YWAP78yymU5KpnsT7f0cLmyi5CjDpuWqTcT0qSJJ5ZITO2503LJkEh2/R1eQcdFhdx4UZOVFj8rDggu4wXp0SSpzAWZkOtfK9Oz4tXzNpoadPV+dmm1KgQVcyM3e2j1297kx6lvnAK6JviwoxBKXQCz9Ch1jfBscLpR8dAQK8zeDonUB+bArK1QbhRj0+SaLMoZ50EQRho11UqNLMEGO1fDMo7rIpdxKfnyQv45voenAribPQ6gfl+1umTPa2KXjMm3MgC//jyKxvqFB0L32adtiuMfwEYlR3HOdNyALjltW3YNHyX/nT2eCYVpmBxeLjkoS/oVxjY/H1IT4xmyQO/4vSZxXi8Itc+vpTLH/gIs00ds3kM/4mOXivn3fkW9/zrayQJLjllPO/ccz6xUcGLcmnptvHrR1bg8YnMn5jDJSeOUH2uLrOTu9/ZBcBvTihQnEkHcu7jnsY+Qo06Lp515AMaIE+X/XujHHZ91vhMRRpFnyjxid9oc/4IZfYF3Tb3QPETWLOOFJ1W2SdPAEpSlRdOgTVZLdvU5I9pSQg3Kma7BqMr0KZTYXtzOASeoUOtb4JjhdOPjoCNgNnlQQzC7jtJY2wKyIVPwNujQQVjBAd9RSq7bIp/r7ToUNKiQ/GJEjublQXwFidHkhoVgtMrKmadTi1JxagT2NdmYV+rMrblomm56HUCm2t62KWCdTprkuwm/vdPylTp3W5eNIrU2DDqOmzc9/5uxccHYNDrePqa40iLj6CqpZ9fP/wljiANLwCEhxp58Zaz+PMlx6HXCXywuoy5f3iRreXNQXuN/1Ws3FbN7KtfYOW2GsJCDDx6zSk8dPV8jArG438IvVYXv3pwOe29dgozYnnkd7M1aVxueW073RYXRenRXHlykeJzONw+Hlm6H4BL5+SToHDC6+vyDqo6rESE6FnsvwePFOtrumk1O4kONXBCkbJpulVVnUgSFKdEkaaw3bXVv74UJUcqLhJcXnFAGF6YqM4uI/BMyI5VP+QhShKdgbiWIBROHp84kPuq1ERUDY4VTj8ywo16DDoBUUKxGPpwSIowIQBWt2/A00INsmMPFk5q2inZseGEGnTYPT5V7bpJfoHmlkZlQmJBEDi+UM6RW1HR8QP/+tuIjzBxQrF87Ls7lD3IM+LCOHW0PJH1/Brlwbm/P6mQqFAD5S1mPtqqPMMuJtzEQxdPQBDgnQ31LN+pvhBJjYvglRtOJCrMyOYD7Vz+2Fe4g5jxptMJXHvudD576GKyU2Kob+tj4Y3/5r5/r8IRhJb1/xrMNic3P72cxX9+i84+GyNzk1nx2K/51fxxQRnxDsDqcHPRA8spb+wlJTacV248iWgNot7X19Syel87JoOORy6dpNh+AOCVNTW09jlJiw3lYgV2ICAzRi8GgoQnZROjQGcjSRLv+NeI00vTFDEvPlHi60rZJ+x4hfYFoiQNFE6TFIrYAaq6bfgkifhwo6qCxesTafbrm7IVekcNRp/Dg0eUMOoE4oKgb+r3Gz+HG/WKo2fU4Fjh9CNDEARi/BVyfxDCVo16HXH+0c5Oq/p2XVp0KAadgN3jGxgZVQK9ThjY0ZR3KnMCBxifGYNOgPpeBx0WZezZrPwEjDqBuh471QpdyM8ZK/s4ra/ppllhwXfxjFwMOoFt9b1sr1dW8MVHhnDlCXK21xPLKzCriM6ZUpjE5SfKBpa3v7GDNpVsIcDInARevuEkQk16vt7VxLVPr8anUOj/Q5hUnMHqJ3/Dotkj8fpEHn5rPTOvfI4VW5RPGP4vQpIk3l+1j6mXP8MLn24F4LJTJ/DFo5dQnK3sgfxDcLq9XPboCnZWdxIbGcLrt5xMVpJ687nKFjP3fyhnJN68aBSFCiKWAmjtc/Cv1dUAXH/KCMIU+pit2N9ObZeNqFAD501Wxjbta7NQ3m7BqBc4o1SZhcWOpj567B6iQgxMzlEWrFzTbaPX4SHUoKNEhb7pQIc8cFOUFKmqqG6xOPGJEhEmPfEaCp7B4cDBKO4Dz86Yo8A2wbHC6SeBwE4nGIUTHHRy1dKuM+iEgek6te26Ir+XUmWnVXG7LjrUSJF/zHarwtZXdKiRKf7x3hUHlDlA58SHMyUnDgl4f1eLomPTYsI4faws9H5udbVipu7caTkMS46k1+bmWRVCcYBrFo5gVHYsfTYPN/97m6qw5gCmFKfy/LUnYNTr+GRTLbe8uD7oYu7oiFCev/lMXr7tbNITo6hr6+O8O9/mknvfp7kreOL0nxuqmro5+7Y3ufyBj2jvtZGfEc/7917AA1fNJywkuA8Pj1fkqie+Zv2+ViJCjbx208kUZykbnx8Ml8fH9S9vweURmT0yhYvmKGOKAnhkaTlOj8jEvHhOLFWmMfKKIi+ulZnhC6ZkE6XwgfvuDnkK78SiZOIUsm4BJnzu8ERF9gUAWxr6ADkMWCmz4vT6qO2V23TFKrLtYHCbLkxTwTPgOh4ZHH1Tv3+jqYQ11IJjhdNPAIEq2eL0BsXPKdmvc+q0uTWdL0DF1qssnLLjwggz6nB4Rer9N6wSTMqSd2NbG3sVF14nFMo77g113VgUiqUXj5NZp+X72+lVyLZdPCMXk17HrqZ+NtUo01gZ9TpuOk0W2r65sZ79CvVdIFtcPHzJRMJMejYc6OS5LysUn2MwjhuTyRNXz0UnCLy5qoI//3uTpmLscBAEgdNmFLPhmd9x1aIp6HUCn64vZ9rlz/DgG2uxapgQ/bmh1+LgjhdWMOuq51m9s5YQo57/u3A2a5/6LXPHKRvDPxK4vT6ueWoVX2xvIMSo519/OpGx+drYrL9/uJfyZjPxkSb+ftF4VQ/gDRWdfLG7FZ0AN58+Unkm3Z42GnscxIQZWTxRGdvU2Gtng//ePmecsqijNrOT3S1mBGTjXSVweX3s9luWqGrTddkQJUgMN5GoIiZFlKSg6JtcXh99/jVZS1zL4PM5/RYy0UdBGA7HCqefBEINOkx6HRLBYZ1i/GnVPknSNF0n7yqg1x+fohQ6QaDIT+fvVejJBFCSGkW4UU+f06vY06kgKZKcuHA8PokvFWqdxmTEUJwSicsr8ta2JkXHJkeFcvYE2dfp8RUVeH3K2lvTCpI4sTQVnyhx2zu7cCmYDAxgWEoUf14sx4g88mkZq/yOyGpx6pQ8HvjNTABe/qKM659bo/j3OhJEhYfwl9+ewNdPXMakERnYnB7uf20Nk37zFI+8vZ4es/Li++eC1m4Lf33layZc9hT//GAzbq+P4ycMY/0zv+OGC2YRMgRxLw6Xl988uoJPN9di1Ot49pp5TB+pzVn93Q11vLpaZnruv2gCiSp8gPrtbu54Tx6AOG9aDoUKW1Y2l5dnVsktvoum5RCh8GH7yjcNSMg2AtlxygqIz8rke3FMRgwpCkf5tzX24/KJJEWYVE3EBexdilUYZoJsT+P0ipj0OlI1BPu2+aUXMaEGTVN5AQSeTZEhBsWh0GpxrHD6CUAQhAHLeaUMx3edL81/U7aqsBMIIMSgJ9O/sNWocAEHKE2VC6fKLisOhUWAUX/Ql2ldrTJ/IkEQOM1vEfD5/nZF1gSCIHDJFHm8/5O9rYo1VpfOzCU2zEhdt533FBZeALeeUUJ8pInqditPLFfHGC2ensv5M3ORJLjuX1uoVlG4Dsb5cwt57Mo56HUC762t4nePr8SpYfjg+1CSl8Kyhy7mxVsWkZcWR0evjXtfWcXoi5/gT08uo7JJvVfVfxt2V7dx5UOfMO7SJ3n07Q30W52U5CXzzj3n8/Y955OXpkwjc6Qw291c+MByVu5sItSk56U/ncgJ45WH7g7Gjppu7nxbth64ZuEIjhulrL0WwH0f76PT7CInMYJr5iufxPvX+lq6bW6y4sMUs01VnVZWVXYhwMAacaToc3hY4w8DPm2UsgJUkqSBNVCN71OP3T1gYTBKhYUBHHwG5MWFK3Z2H4xWv7g8TYMH1GAE3Me1aK6U4ljh9BNBnN91t9fhCYqOJD36YFivFpuDgB9TdY9d1ftKiQwhOdKET4KyduUP7xl58QhARaeNdoVF4JSceJIjQ7C6vAPp5UeKCVmxjE6PxuOTeG2LMpfrqFAjVx6XD8ALa2voUcj6xUeGcNfZpQC8uq6WzQrfewB/XjyGifkJWJ1ernx2E30a2EeAs2cO57k/Hk+IUc/yrfWcd98yOvvVC9C/D4IgcObskWx45nc8c+MZjM5PweHy8vLS7Uy9/Bl+cefbrNlZ97M00BRFic83V3DGLa9x3B9e5J2Ve/B4RaaVZPHv28/h68cv4/iJ+UGdmBuM+g4zZ971KZvL24gKM/LGLfM5boyy/LZD0dpr56rnNuPxipw8Np2rVRQ8AMt2tvD5rlb0OoF7zxujOMi3vtvG29/IU6vXnlCoyLcJ4F+bZM+nuQVJDEtU5jn1+f42PKJEQVKEYtanqstGm8WFSa9jcrbyYjnANuXFh6vyOfKJEnV+ucWwBPVtOrdPpNO/DmlxHR/8vgJdGqVaMy04Vjj9RBATakQnyF8spaaPh0N8uAmTXsDjk+jW2K4z6AQsLq+qtp8gCJT6dzi728yKH3Tx4SZK/KzVOoW+THqdwKkl8q72s7I2RfEvgiDw62m5gMxYKZ2wWzg6neLUKGwuH099rXxKbM6IFM72T/rc8e5uVVN2JoOOJ387hfS4MGo7rFz57CZVrb/BOHliDq/edDIx4Sa2VXZw6p8/pqxBuWnnkcJk1LP4uFGsfPwyPvn7hcyfWoAgwBdbqlh06+vMvOp5Hnl7PbU/g/y78vpO7vv3Kib95il+efe7rNtdj14ncM7cElb841KWPPgrFk4vQj+E7YjN5W2cdsenVDT3kRIXzru3n8LkInXMUABmu5vL/rmBLr9f098vmoBOBWPR3u/gXn+s0OXzhlOqUOcjSRKPflmBV5SYPjyB6cOVRbvsazWzub4XnQAXT1HGvtndXr70D6qcPipNcdEbWPsmZsUSprC95ROlAalEqUq2qanfgdsnEW7Ua2rTtVtcSMgmlcFw+DY7PYgSmPQ6woPQ9jtSHCucfiLQ6QRi/SJxLXEpA+cTBFL9VGiLhnadUa8bEIlX96jTmIxMjkIvCHTZ3AP9bSWY6XfW3drQp6jlBjB7eCIxoQa6bG42Kiy8RqVFMyUnDlGSdQ1KoNcJ/Mlv6PfZ7lbFppgANywcQVZCOG39Tv7+SZni4wESokJ47sppRIYa2FrdzU0aJ+0Apo9M49N7TicvNZrmbhuL7l7Cl9uHNntOEARmlObw+h3nsunZK/j1wgmEhxgpr+/k3ldWMfGypzjh2pf45webqG/rG9L3EkxUNHbx8FvrmHnlc8y48jkefms9dW19REeE8IdzprHjX7/n2ZvOZFxh+pC/l3dWV3D+fcvosTgZnZfIZ385nVG5ynPjBsPtFbn6+c1UtlpIjgnluSunERGq/IEpihJ/fnc3FqeXUVkxXOZndJXg6/IONtf0YNQLXHtCoaJjJUnixY11AMwfkUKmQg+jFRWdODw+MmJCGZcZq+jYXrubvX5D3pl5yqcZa3ps2D0+wo168lU4s8PBtX9YfLgmpvNgm067KBwOPivjwo1DxsAeDscKp58QAlRjTxB0TnCQCm01uzS16/L97bqaHpuqh26oUT/gJL5LoSM3QEFSBMmRIbh8IpsblDELJr2OBf44hI/2tCqeMrx0qqxj+LqikwMKW42jMmIG7An+tnS/4qIvPMTAveeOQSfAkh3NfLxVuV4KoCgjhn/+dgpGvcDS7c3c8dZOzcXTsLQYPrn7dGaUpGFzerj04S/5+ztbh0Q0fiiGZybw4NXz2fPvP/D4tQuZOy4PnU5gR0Urd7zwFeN//U9mX/08d7ywgk/WldParU3fFSxIkkRDex/vr9rHLc8sZ8rlzzDtd89y379Xs7++E6NBx/ypBTx305ns+fc13PXreUHNl/suONxebn5xHdc/txaPT2Th5Fze//NCUuPUPWQD8PhErn3pGzZVdBERYuD5K6eRrjLm41+rq9lc1U2oUce9545RPMbf7/DwqH/C9KJpuWQpfB+b63vZ3WLGqBe4cJIytsnp8bHULwo/bVSa4ly2tbU9SEBBYgSpKtpbgTW3JCVKlTbJ5RUHTIzVFl4gfx86/BFOwWjTSZJE70De3dFr0wEcndm9YzgixIWboNuGze3D6fFpnjhIjDBh0uvkvrLVTYrKKj8jOlS2FfCI1Pc5VE10jE2PYX+Hlf0dFmYPS1BEqwqCwJz8BN7d1cLXVV3MyI1XND1xQlEyS8raaDU7WVPdxXEK3HqHJ0VyQlESKw508uSaGh47Z7Sihe+q44azvrKL+m47z66u5o8Kd7pjcuL43fEFPL2ikr9+tJfCtChGZMQoOgfA9OJk/v6rCfzp5a28vb4OvU7grvPGaNqlxUWG8NpN87n79c28/EUZT3y8i2/K23jy93Jky1AjNiqMX540ll+eNJbOPhufrNvPx2v3s3FfI/tqO9hX2wFsBiAjKZpJxRlMGpHJhKJ0CjITgprfdigkSaLbbKeioZut5c1sKW9iW3kz7b3fHrIwGnTMGpPLmbNGsnBa4ZC+p8OhprWf3z2+kv0NPQgCXLdoHNcuGqeqlTYYHp/IdS9t4ctdrQMt45EqRuhBth544gu56Ln5tBJyVXgQPbz8AF1WN9nx4Vw0TZmo2+0Tedrv+bRodDrJCtfRpfvbMTu9pESFMF0hY2Rzeweio+bkK2f/euzugYiVMSoMM+Gg23hcmFGTALvF7ESU5DZdMPLkLC4vbp+IXjjYrTlaOFY4/YRg0uuICTXS7/TQZXMrpoMPhU4QyIwJpabHTmO/Q3XhpNMJFCREsrvNzIEuq6rCKSM6lJTIENqtLna39DM1R9kCMikrli8PdNDn9PJNYx/Tc4/8+HCTnjNK03h9ayPv72pmRl6CIlHob6blsr6mh/3tFpbvb2fByCPXfMSEGfm/hSO44Z1dvP1NI7MKkhiv0C348nnD2dfUz5ryDq5/dTtv/mEGsSriEk6bmIXXJ3Hzq9t4Y20tep3AnxeP1lQ8GQ06/nrxNKYWp3LDc2vZfKCdk/7vQ+69ZDqnTc07avR5UmwEl506kctOnUiP2c6KrdVsLmtia3kTZXWdNHeaae4089Ha/QPHxESGkpsaS05qLDmpceSmxpKeGEVkWAjhoUbCQ41EhJqICDUSHmpCQsLu9GBzuLE5Pdid8n+tDhdNHWbq2/qoa+v1/7cP22Fa7ga9jtL8FCYWZzCtJJvjJgwjOjw4bQslEEWJ11aWc++bW7A5PSRGh/LE1XOZNUqZL9Hh4PWJ3PDyVpbvbMFo0PHU5VOYOSJZ1bmae+zc8tZOJAnOmpTFWQodvgFWlLXzZVk7ekHgztNLFG9I39neRHO/k4RwExcqzLMzOz18tk8ODV88NgODThlTtramG7dPJCMmlBEpygvG7X4vuPyEcFXiaUmSOOBPflDrNh5AgLXKjAkNyroQ0O7Ghxs1F/pKcaxw+okhMcJEv9NDt92luXACyIoJo6bHTpvFiccnKqa4AyhKkgunFrMTs9OjOEhREAQmZMaytLydHS39TMqKU0QbG/Q65g5P4qO9rays7GRKtrLjTyxK5vOydrrtbr440M6pJUc+DpwYGcKvJmfx7Po6XthQx4xhCYp+/xnDEzl9bDqf7Gzhr0vKePU3UxR5x+j8E0QXPLmexm47N725g39eOknVZ7loSjY+UeLW17fz6uoadDqB284u1byQnTolj5KcBK58YiV767q56smv+WRTDfddOp1kDWZ5ahAfHc6580o5d548mWixu9hZ2cqW8ma27m9iZ2Ur7b02+q1OdlW1satKm8/V9yE9MYrxhelM9LNdY4anBt3ZWynqO8zc+Pw6NpTJD/RpI9J48uq5pCj0JDocvD6RG/+9jaXbmzHqBZ78zWTmlKgTl9vdXq57dTv9dg8lmTHccvpIxefosrp4cHk5IJvTjlQY7dJqdvKGv0X+u5l5iqf4Pt7TisMjkhsfzlQFmz2QW3xra2QLghMKkxTfo06Pj73+aboJGbGKjg2gw+qmz+lBrxMGJBtqYHN76fEPuGTGaH+uSZJEl11u+yUEwURTKY4VTj8xxIebqPa36xwen+IJikMRHSrTohaXlxazkxyVi2NUiIGM6FCazU4OdNmYpFDgCLLN/+qaLqxuHwc6rYxMUZZ1NTUnjhUVHfTYPWxv6mOSgrFck17HOWMzeHZDLR/vaeW4giQiFCyCi0ans3x/B3U9dl7aWM+1xw1X9N6vOb6ALbU9tPY7eWxFJbcuHKHo+OgwI49cOJ5fPb2RzVXdPLhkP7eeUaLoHAGcMy0HUZS47Y0dvPJ1NToB/u8s7cVTXmo0n9x9Gk9+vIvHP97J51vr2bi/lXt+NY2zZgzd+PwPISo8hFljcpk1JnfgZzanm8b2fpkhau2jvr2P+rY+Wrst2F0yq2R3erA7Pf8RcBxi1BMeahpgpMJDjaQnRpGbGkdOaqzMYqXFkZUcQ6jCB+1QQhQlXv6yjL+9vRWHy0tYiIFbzp3IpSeNDMqO3esTufnV7SzZ2oRBJ/DEb6YwT2GO2+D3evvbuzjQaiYuwsTDF45XHAIsSRJ/+2w/ZoeXotQoLp2Rq/h9PLWmBrdPZGxGDMcVKGuVdVpdfHlANt89f3ymYm3T+toeHB6R5MgQSlW02Xa3mfGIEokRJtWBvOVdsj5wWFw4IQqtGwajqV8WhSdFmDQ/0wDMLi8enyS36Y6if1MAP527+hgAeYotNtRIn9NDdxDadYIgkBUTRlmHhcZ+h+rCCWTWqdnspLLLyvj0GMVCQ71OYGx6DOvretjW3MeIZGXUr8mgY87wRD4ra+eryk4mZMUqWoxmDUtgyb5WmvudfLq3lfPHHzntbtDruGZOPtd/uIfP9rUxf2QKxQoKv4gQA7efOpLfv76dT3e1MKswkVkKk9EL06K577wxXP/adt7eWE9eUgS/mJ6r6BwBnDsjF58occdbO/nXymosDi/3/GKsakYyAJNBz/Vnj2f+xByuf24te+u6+ePTq/l0Uw1/uXiapmDYYCIi1ERxThLFOT/8GXi8PuxOD4IA4aGmo+ZOHEwcaOrl1pfWs/lAOyCzTA/+dia5KcERn9tdXq7/1xa+2tOGQSfw2GWTOX60epfxJ7+o4Kt97Rj1Oh69aDxpKtbBj3e2sKG6G5Nexx2njVT8uW2s7WZjXQ8GncAf5igv/N/b2YxXlChJjVJc+Li9IqurZf+2EwoTFRddoiSxw9+mm5ARq2rT4vL6qPPro4pUZtuBXMAebNMFR8N3sE1nUnxtgoH/vhXgfwAJfv1Kl019SO9gZMTIEww9dg9Wl3q35+yYMMKNepxecSAsUinGpEWjFwTaLC5V4cEzcuMJM+rpsLrZpnDEX6cTOH+8bOS3tKx9YDT2SDE6I4YTipKQgAe/qsTtVTZBNj4njvMnyxM5f11SRlu/cpuIeSWpXOO3Ofj7p2UsUxhEPBi/mJXHfb8ch06A9zbW8+sn12s2yQxgZE4Cn959OjctnoBRr2PFjkbm3vg+D723HUuQpkaPFowGPTGRoURHhP7XFU3dZgd3vbqJk2/9kM0H2uVJzUum8fatC4JWNLX2OvjFo2v4ak/bgBD8pLHq7RNeW1fLi/5IlDvPGsU4hS0ugMp2y8AU3e/mDmOYwge/2enhH1/L7+HssRnkKNR1VnRaB9ps543PVFy4rKnpxur2ER9uZJyKNtv+Ditml5cwo44RKiNWDnTa8EkQF2YkSYWmMoBuuwe7x4deEEiL1t5WkySJblugTXd0p+kC+O9aBf5HkBBuQgDsHh+2IMRahBn1pPhNy9SE7Qag0wkDN+FeFWaWABEmA6P9u6+N9cpNC0ONeo73U+bLyjvwKBx/H58ZS2laNF5R4pVv6hX/DlfOHEZcuJH6Hjsvb65XdCzAFXPzGZEWhdnh5bYP9yh+/wCXzhnGeVOzkSS4/e1drC1XlsU3GIun5/L076YSEWJgU0UXix9aRa0Kh/fDwWjQcc2ZY1l+35lMG5GGy+PjHx/uYNp17/DUp7txaCjij+H70W9z8eC725h+3bu88Pk+vD6JkyfmsPLvZ3HxicFpzQHsru/lnAdXUdbYT3ykiX9fM1MT0/TJtiYeXCIL+K8+sZDTJih3LLe55HvL7RWZlp8wsFlRgn+uqaHb7iYrNoxfKRSki6I04DA+Oz+R4YnKCheb28vKStksc35ximJmX5QkNvlNaSdmxqpikX2iRFmHvA6UpERparMHnjmZMaGKxfGHQ5/Dg0eUMOh+nDYdHCucfpIw6HXE+ycgOqzBYZ1y4mSKtKHfodjLaDCKkyIx6AR6HB5aVZhZArKwW4DGfscAhasEM4clEBtqoM/hYb1CU8tADp1BJ7C7xcwWhb5QMWFGrvfrm97d0cyeln5Fx5sMOu5dVEpUqIGyFjOPfKE8i04QBG45vYRTxqbjFSVueH072xVeh8GYV5rGW3+aTXpcGHUdNs55cDUbNBRjh6IwM453blvAM9fMY3h6DH1WF/e9tYUZ17/Dv74o0+xmfgwHYXN6ePLjXUy/9h0e+2gnNqeH0XmJvHbzybx43QlkBrFVumx7Mxc8uoaOficFaVG8f9NcJuQnqD7fyn1t3PX+HgAumpnHb+cpN7kUJYm7P9lHY4+D1OhQ7jytRHErZ01VF19VdKIT4OYTCwkxKNPkfFnRQX2vnXCTnl+MV174rajoxOkVSY8OZXymcuuRik4rPXYPoQYd49JjFR8PUNtrx+7xEWbUaRKFu7wiLX5mX4tMZDA6/WxTUkTIj9Kmg2OF008WSX6GqMvqCkoeV0pkCGEGHR6fpDn4d7jfBG1fu3IzS5CF5oGgyY31yh/4Jr2O+cUpAHxZ0ak4oiYtOnQgiuXVLY2KjSmn5SVw8ohkJOCBFZU4lL5+bBh3n1GCAHy0o5kPtys3ttTpBO5ZPJpZxUk4PSJ/eHkr+5uVFXGDUZwRw/s3zWVcXjxmh4df/3MDb66tVX2+QyEIAqdOyWPF/Wfx6O9mk5UUSUefgz+/spHZf3qXt1ZV4FHY+jyGg3C6vbywbC8zrnuH+9/ZSr/dTVFmLM9fezyf/eV05o7WljU3GJIk8eSycq558RtcHpE5JSm8/ac5ZGowR9xc1cVNb+zEJ0qcMSGTPy0sVsVyvLS2lrWVXZj0Ou49q5SYcGWMRK/dzWOr5Iik8ydkKdIxgmy0+e6OZgDOG5dJjEJGpMfuHohXObUkRXFhIEnSAJM/ITNWlaBbkqSBtX1EkjrTzAAa+xxIQGyoISjskFcUBwyikzREv2jFscLpJ4rYMCMGnYBHlOhTkVN2KARBINtf8depjE4JoMS/mDT2O1W/tynZcegEqO9z0KwiKHZidiypUSE4PD6+8tPaSnBGaRqJESa67W4+2qNcJ3TlzGEkR4XQanbyvD+KQQmm5Sfyu7nyjvqRLypURbIY9Toe+uV4JuTFY3V5ufKlLdT5PVfUIDE6lFf/OJPTJ2UNCMfventnUBkhg17H4tkFrH7oHO67dDopceE0d9u44fm1TL/uHf756S56g8Sy/i+gvdfOg+9tY/I1b3PXa5vpMjvJSYni8avm8MXfFrFgUm5QpxmtTg/XvrSFx/zttEvn5fPsFdOI0vBQ3N3Qx7X/3obHJ3J8SQp3nDVK1XtefaCTF9fJxf5NC4oVWw9IksQ/VlXR7/SSnxjBRQo9mwDe2NaI3eMjLyGc4xUOf4BslukTJQoSI1QJsiu6bHTZ3YTodYxXYZQL0GZx0W2XLQiUhhEPhiQdDAYOFtvUbXMjSrL8JMJ09LLpDsWxwuknCp0gkOj3pwhWuy47NgwB6HF4MDvVF2MxocaB8da9KlmnmFAjo/zi1A0qWCedcDDAd01Nt+Ig4xCDnov92ofPytppVKj9igwxcMO8AgA+2dPKNyp+h19Ny+G44mS8osStH+yhVUXbMtSo57GLJ1CcHk2vzc1lz22mQkWsTQAhRj0PXTyB606TPXNeX1PL4odWU9mi/pyHg8mg51cnjGDdI4u545eTSYoJo7XHxt/e2srE37/Jdc+sYVtlR1DY1p8bRFFi3d4Wrnh8JVP++BaPfbiTHouTzMRI/n7ZDFY9cA5nzRiOPgh6ksHYUdvDmfd/zdLtzRh0An+9YCy3nj1aEyOxvbaHq176Brvbx5ThCdz/i7GqBPiV7Rbu+XQfAIsnZrJQhc5q+f4O1tfIU3Q3n1CoWBtU1mZmbU03AnDplBzFOrKGXjvbm2TW+LSSVMXFo8w2yevQ+MwYQhW2GAMIrOkFCRGqzwHQaXNj9/gw6ISBASWt6LQebNP9WPYmcKxw+kkj2U9F9tjduIOQARZm1JPqdw9XG9gbwCg/61TVbVM9qRdgnep6HQM7EyUYkRxJYVIEPlHiwz2tih+yE7LimJAZi0+UeHp9LV5RodA8K5ZF/gX6/i8raFc4pScIArefOoLhyZH02Nxc+9ZO+u3KC9qoUCNP/3oShalRdFlc/PrZTZo0T4IgcNX8Il68ajpxkSb2N/Vz5t+/5l8rqzRn3B2KMJOBy08pZdNj5/GPK2YzKjcBl8fHu2srOeOuTznp1o94+YsyulSwkj83tHRbeeazPcy58T3O/9sylmyuxeuTmFSYwrN/nMe6Rxbzy3nFGDX47RwOHp/Io5+Wcf7Dq6nvtJEWF8Yb18/mvBl5ms779b52fvfiN1icXibkxfOPiyZgUvGgbu13cP3bO7G7fYzPjuWa4wsUn6Omy8YTa+QpuounZDMsUVnb0eHx8ewGme2aV5ikWBAuShLv75YNSSdmxqqyoSnrsNBpk9kmtYaXXTY3jf1OBA52FtSiuluOF8qKCQuKKNzu9mL2P2uSIn+caboAjhVOP2FEhhiINBmQgA6VQuxDEQhpbOpzKNb2DEZqVChpUSGIkmy0pgaxYUbGpst08uqabsWFjyAILCpNRy8IlLVb2NemfBrs11NziDDpqeux88meVsXH/3ZGHoXJkZidXu7+vFyxRUG4ycDD540hJTqEhh47N763S9XnEh8Zwou/m8q43DgsTi9XvPgNq8raFZ9nMGaXpPDZrcczpyQFt1fkvvf3cMkT62nRWHQfDiFGPefMKmDZX8/g47tO49zZBYQY9exv6OH2VzYy/uo3OffepbzyZRntGiZD/9vQ2Gnh2c/2cPqdnzD5mrf56xvfUNtmJjLUyMUnjOCLvy3iwztPZeHkvCGxSqhqM3PuQ6t56vMDiBKcMSmLJbfOY5zCzLVD8cGWRq5/bRtur8hxI1N46teTCFeRX9bv8HD9WzvpsroZlhjB/eeMVnwdrC4vdy3bj8srMik7jvNUCLrf2NZIp9VNUqSJCyYob/FtrOuhsc9BqEHHqSUpio/3iiJr/ZulKdlxqk0md7bKjNew+HBiNOS/9Ts9dPq7AMMSgtOma/M/A+PDjYoF+8GGIB3jwjXDbDYTExNDX18fMTHq+srfhQ6Lk6pum9yzzlRnZHYo1tZ20+vwUJAQwQgNu4pWi5NlBzrQCbC4NF2RE3cAdreP57+px+0TOaU4RdUuZ0lZGysru4gLM3LzvAJFOXQAG2q7eXJtDXpB4C+njCBXoci13ezkird3YnF5WViSynUKXcUBajqtXPHqNixOL7MLk7jvrFJVLRCnx8fNb+xg1X75c7njrFIWqdBqDIYkSby1ro6/fbAHh9tHVJiRO88dzemTsoaULu+zuXhvbSUfrq9mV03XwM8FASYXpnDK5DxOnpAd1EmxHxuSJFHbZmbZ1jqWflP3H7/3pMIUzplVwBnThhExhMGmoijx2poaHvhoLy6PSGyEkXvOH8eC8dqy7CRJ4qVV1Ty+XJ4mPXNiJn9eNEpV0efy+vjjGzvY1dRPclQIz188keRoZS0hUZK487P9bKzrITUqhKfOG6s4Tmp3Sz/3r5B/n9tOKqIkVZm2yuLycv9XFTg8IotK05g1TPlk4jeNvayu6SYqxMBlk7JVWRB02918XCbHD51VkqZJzL2juY/GfidpUSFMylKWzXk4+ESJrY29+CSJkSlRxIYFl3GSJImu3j6SE+Lp7+8nOvr7P8NjhVMQECic2rp6SEnQ/iUZDJ8osa2pF68oUZwcNWBToAWtZidbmvow6gROLEzSRKMuLW+nzepiRFIk0xQG9wawqaGHtbU9RIcYuGxytuL34/KKPLCykl6HhxMKkjhlpLIdmyRJPLa6mm8aesmKDeOvC0cqXni2NvTyf5/sQwJuPL6Ak0co3zXubOjlj2/uxO0TOWt8BjecXKSqMPH6RP7y4V4+8mdsXTO/iF/PGaa5yKnrsHLDK1vZVSdP7cwpSeHOc8eQpbCtoQaNnRaWflPHZ9/Usr3q28MAOclRTB2RxvSR8p80DePTRxuSJNHQaWFjWRsbylrYUNZK2yBGTScITClOZeHkXBZMyg1KntwPoaLFzB1v7mBbjcxgzByRzP0XjidFY4qBKEo89Nl+Xl9fB8Blc/P5w8mFqr6XPlHizx/u4esDnUSGGHjmognkqxAyv7G1kZc21WPUCzx+9hgKFJ7D5vZy8yd76bF7OLk4mYsn5yh+D29ub2JLYx8ZMaFcOztf8YbJ4fHx/OZ6XD6RBUXJAxPLSvFVVSf1fQ6GxYczd5iyeJlD38+Kyk4kYFZuvKpw4UPRbnFS3W2TLRZUOqF/HyxOD2UN7UwtyjpWOB0tBAqnisZ2CjLVpYB/H2p7bLSancSFGRkRBLdfSZJYWd2Fze1jVEoUwzSMEbeYnXxeoY118vhEXvimHqvbx5xhCUxWsUPZ3WLm5S0N6AWBG48bTnKUslFVs9PDTZ/sxez0clpJKr9QQbe/tqWBlzc3YNLreOyc0RSomIpZub+d2z/ciwRcMj13YPJOKSRJ4vHlB3hpVQ0AF87I5fqFIzQJeUEuyp75ooKnlpXj8UmEGvVcvaCIS+cNV5wlphYt3VaWbpEZmW2VHf/hS5aXGs20EWmMG55EYUYcRZmxRAZ5h6oWfTYXFU29VDT1sa2ygw1lLTT7tSABmAw6f7GUx8kTc0gKUkzFD8Hm9PLPz8v511dVeEWJcJOeG88cxS9n52l+ULm9Pu58bw9Ld8oTrDedOoJfzlSnkRIlifuXlvPprhaMeoF/nD+O8TnK14xtjX383yd7ESX407zhLBipPIz4qXU1rKvpJiUqhL+dWkKownugttvGE/5JwGtmDSNXoUM5wMqqTrY195MUYeJXE7JUeRv12N185GebFpWkEaeBbSprt1DVbSM+3MjMXPW+XgFIksTu1n5sbh85ceFkDMH90NRrp7mz51jhdDQRKJy2VDYxPj896KZcDo+PHc19AIzLiA1KSGJdj53dbWbCjDqOH56k+j1LksTSAx20W10UJ0UyXSXrtLfNzLIDHZj0Oi6bnE2kwgJMkiRe2FzP/nYrwxLCuWpGnuLfaUtDL4+uqkIAbj6hkNHpytquoiTx5yVlbK7vJTkqhCfPGUO8ikiAD7Y18eDyAwBcMiOXy2erZ4teW1c74MQ8tSCR+88fS1wQYgqq2yzc9fZONlXIraTsxAhuOWsUJ4xOO6rTLlaHm28OtLOhrJWN+1vZU9uNeJglLSMhgqKsOAoz4ijMiCUjMZKUuHBSYsOJDDMG7T1LkkS/3U17r532XjvN3VYqmno50NjLgea+w+qzDHqBcfnJTBuRyvSR6UwoSCZMhd5HLURR4qNvGnj4kzI6/DFAJ45J48+LR5MWBIarpdfBDa9vZ19TPwadwF/OHc0pY9W1/ERJ4u/LyvlkZws6Af66qJTjipVvVpt6HfzhvV1YXF4WjEzhT/OUC8rXVHfxzPpaBAHuPLmYwmRlLWOPT+SR1dW0W1xMyYnjPBXXpNvu5uWtDYgSnFOaTp6KwgtgRVUnDX0O8uLCOS5fPdvk8Yl8WdmJV5SYnBVLapT2aTqz08PeNjMCMDErTnOe5qHwiRIH2i1YLOZjhdPRRKBw2nSgkeKsFMWmZ0eCsnYzfQ4PKVEh5Ceo99YIwCdKrKjqxOUVGZ0WTa6GBbLN4mTpgQ4E5N2Kmt64KEm8vqOJNouLkclRLFTR6uq2uXnw6yrcPpEzR6UxW4WL8Qsb61hZ2UlUiIH7Ti1RnIVkcXr5w3u7aOpzUJgcySOLShXvQgHe2FzPE1/JRny/nJrN1ccNV/1w/3xXC3e+twenx0dqTCgP/nI8o7NjVZ1rMCRJ4pMtjTzw0b6BB+60wiRuPaeUYpUeMlrRb3PxzYF2Nu1vZX9Dz3cWK4MRFmIgJTaclLhwEqJCCQsxEGLUE2rSE2oyEGrUE2LSI0ng8vhwur043b6BvzvcPrrNDtp77bT12n/Q9yojIYLCzDhKchKYNiKVSYUphA+hXun7sL2mm3vf28Nuv2liVmIEt51dqik2ZTDWV3Tyf/5p0ZhwI3//xVimqfA3AlkAfe+S/Xy+tw2dALefOpIFpcrfZ7/DwzXv7aK538mIlCgeXlSqWBfZ1Ofgz0vLcHlFzhqdzjkqip4l+9pYWdVFVIiBm+YNV8zWS5LEO7tbaOhzkB8fzlml6vIBg7F+B1DeYaGiy0ZUiIG5wxKCsiEpbzfT4/CQHBmieFrxSNBtc9FmduF2WBmfn3GscDpaGFw4pSTEKRYXHwn6HR72tZvRCTAhMzhVd023jb3tFs2sExzcsWTHhnHCcHULY5vFyat+F+3zxqSTHau8mFtf2837u1sx6gVumDtcsbus2ydy59L91PfaKUyK5PaTixRrrlr6Hfzh3V30O73MHJbAHQuKVV3bd7c08og/qHTxxEyuO1GdHgSgqt3C9a9up77LhkEvcOOpIzhvak5QFjab08uzXxzgxa+qcHtFBAFOGZ/B1fOLKVBoQjgUCLTHAqxPdUsfbT122vvsmIcocDg2MoSU2HBS48MpSI/9FtsVFQTNh1bsquvhiaXlrN4nT15GhBq4an4RF8/ND0rLVRQlnltZxTNfVSJJUJIZw0O/HE96nLo2i9cncvcn+1ixvwO9IHDXGSWcoFDLCPL9fdNHe9nbaiY1KoQnFo9RrMFxenzcvrSMln4no9KiueX4QsWeTXU9dp5YW4ME/HpyNqPSlN8n+zssLNnfjkEncOnEbFUFjyRJfLq/nS67W1PHAL7NNk3MjCVdoVD/cBjcbRmbHkt4kE0vJUmiusuGyysSgZu89KRjhdPRwuDCKTIqmuFJkaqs7r8Pg/u8WbFhZKkoKg7FYNZpTFq0JnfXPoeHD/e1IgGnFCWrpmi/qOhgV6uZhHATF0/IUhVw+eyGOiq7bOTFh3P1TOUtu3aLk1uXlOHw+Fg4MoVfTlQeErq31cyNH+7BI0qcNSadK2eq04l8tKOZB5aVIwFnjE3nJpVFGMiuz3e9v4cv98hahlPGpvPns0YRrkKXdjg0ddt48KN9LN0uR0781Aqow8Hu9NDe56C910Z7n50eiwun2+tnk3zf+rsgQKhJ72ejAkyU/N/EmLAB1io5NozQIF3TYOPQgkmvEzh7ajbXnTaSxCA86AD6bG5ufXsX6ytkEf/iKdncdNoIVR5NAG6vyJ8/2suaik651bdoFHOLlLfnREnib18c4OvKLiJMeh4/Zww5CltbkiTxz7U1bKjrIS7MyH2nlijuMLh9Io+sqqbD6mJ8ZgwXqtBTurwiL26px+b2MSM3XnXBU9NjY1VNNwadwOLSdE0ykAOdVg50WoPKNlV3WWm3uoKm7z0UNreXum47ggBpoRLxcbHHCqejhUDhtKe2BSEkgoQIE6lBWoQGo8vmoqLTikEnMCEzTrPQF2STsn3tFsKNeuYNT9TEOm2o76G800piuInTRqSounEcHh8vbqnH4RFVC8V77HLLzuUVOXVkCvNUtAa+qe/hH6tlQ7zr5g5nUrby9/F1RSf3fiFrlS6fnsu5KvxhAD7b3cK9S/bLRWlpGrdqEHlLksTr6+t4dGk5XlFiWHIkj1w4njwN0QqHory5nyeXlrPcLwT+byigfu44XMF0xuQsrjq5iJwgfvZ7G/u44fXttPY5CTXquH1RKadpsDBweX3c+v4eNlR3Y9LruO/sUmYMV67BkSSJp9fV8sGuFgw6gftOK2F8Vqzi83x5oIN/ba6XW4UnFSvOsgP4aE8ra/zWAWpadHBQEB4bZuTSiVmqJqN9osT7e1uwun2MT48Z8NRTA49PZEVlJx5RYkJGTFAE3G6fyLbGXiRgVGq0YpuII0FTn4N+h4fYMCNROg8xMTFHVDgdM8AMImL9lG+fw3NYgapWJISbCNHr8IrSQEK0VuTEhROi12H3+GhUEfkxGOPSYzDoBLrsbmpUmiSGGfUDo7Ab6npURcPEh5s4c5SsfVhW3kFLv/JQ48k58Szw66yeXV9Lm0JXcIDjCpO4wu+u/NyGOr7Yr86QcuHodO48owS9ILB0Tyt3fLRXtXmpIAhcODOP5y+fQlJUCDUdVs5/Yj1vb6wPmit4cUYMT/52Cp/eOo+Tx6YjSfDZtmYW3vcVVz23ifXlHUF3ID+G/4TXJ7JiVwuXPrmecx5czep97eh1AmdNzWb5n0/g7xdNCFrR5PGJPL+yiouf2Uhrn5PshHBeu3q6pqLJ4vRwwzu72FDdTYhBxwOLR6sqmgDe3t7MB7vkQv7G4wtUFU3VXVZe3dIAwPnjM1UVTZWdVtbUdANw3rgMVUVTh9XFdn+g9wnD1dvJ7O+wYHX7CDPqNbuE1/bY8YgSkSZ9UFp0AG1mJxIQaTIQNQTDEl5RwuzPWo1TGAZ9rHAKIqJCDBh0Ar5BH0gwIQgCaf4vZXO/Iyg5XgadwHC/D09Fp/U/RruVIMyoZ7TfQ2RLUx8elTExJSlRZESH4hElvqjoVPV7Ts6OpSQ1Cp8o8e+tjbi8yguNX0zIpCApArvHx8NfV2J3K4+WOWdcBueMlUWbD62sZGWF8kBigJNLUvnLolEYdAIryzv4/evb6daQYTg+N563rpnJlOEJOD0+7vt4H795fjMNXbYfPvgIcbgC6stdrVzyxHpOuudLXlhRSc+xQN+go63PwRNLyznuji+48rnNrNvfMWQFE0B5i5lfPrmBJ7+owOuTOLE0lTf+MIMClX5CAI09dn77yla21vUSZtTzyHljmaLCGBLg/Z3NvOAP4v7djFyOV9Hm67G7eeRr2aZhQlYsC1VYF1icXl7bJms4p+bEMVJFseITJT4/0IEEFCZGqJ6is7t97PC7hE9Ij9GkmXV5Rar8lhqFSZFBadH5RIk2i7xZTY8JHZJJ3V67GwkINegUtyiPteqCgECrrr+/H5cuhA6Li1CDjmGJEUH/wAcbYg5PjBzIs9N6zpVVnTi8IiOSIynQMLngFUU+2NuK1e2jNDWKSZnqDEG77W5e2dqIT5KYX5RMqYpF2Ory8rA/7XxCZgwXjM9U/Hn02t38eWkZPXYPY9JjuGFegSrd1aNfV7GsrF2m+E8uZrbKnfO2uh7+74M9WJxeUqJDeHDxGAo07BZFUeKtjfU8vvwADrePUKOOq04s5MKZeUFpBQ9GZYuZN9fV8uHmBqxOuQg1GXQsGJfBL2blMX5Y/I8a3PnfDFGUWH+ggzfX1rJyT9vABigu0sQ503I4f2Ye2UE2KnV7fTz3VRX/Wl2DV5SICTdy02kjWTg2XdPnuL2+l//7YDdmh5ekqBAeXDyaIpVF2Me7W3hijd/LbFIWl0xRblDp8vr4y/JyarrtZMSEcveCkYpFyqIk8dzGOio6baRGhXDt7HzFk3wAG+t7WFfXQ6hBx6WTlNu2BLC6povqHrsmWUUAe9vM1PTYiQ41MCcvONqmpn4HDb32ITO8FCWJyg4rXlEiIyaU2HDTt57jxzRORwGDL3h4ZBQVHRYkCXLiw4kcAoqxqc9BQ5+dMIOOsUH6UjX0OdjZ0o9RJ3B8QRImDTuQhj4HK6o6EQRYNFL9eGsgRsCk1/HrSdmq6NqabhtPra9FlOC8sRlMUWGUV9ttk3PofCInFCZx6RTl02iiJPHwV5UsL5d3/3fML2aGyh10Y4+dG97ZRUOPnTCjnrvPKGFWobpJxgCaeuzc88EeNlfJbYRRWTHcfc5ohmuk8A8Hm9PLZ9uaeGNtLfsa+wZ+npUYwcLxGZwyIZPijOhjRdQPQJIkdtb1snRbE8t2NNPed7CdPGl4Ar+YlcdJY9KHxJh0d0Mvd763h5oOKwAnlqbyf6eXkKDQePZQfLqrhQeWyfq7EWnRPLB4NIkqN4dL9rbxj1Wypcf54zO5bJqK+1aUeGxNFVsa+ogMMfCXU0aQomLw5csDHSwr78CkF7h2dr4qDWynzcW/tzUiSrCwOEUVYwUH7QcAThuRQlKE+s/M5vaysqoLCZiaHRe0jfxBciCC5Mjg64X77G6a+50YdAIFyZHoBOFY4XS0cegFb+130GP3EBliUDy1cSQY/MUqTIokUcMXPwBJklhV043F5SU/Plxx3tKh+LKyk8Z+B2lRIcwvTFb1EBQliTd2NNFqcZEbF845perMFb+q6OQz/9jutXPyVfXgtzT08o9VVUjALydksbBEOVXvEyUeWFHBV/7poLsWjGCqyrBUs8PD7R/uZUtdDwJw1XHD+eXUbE3FhiRJfLi1iYeX7Mfq8mLQC1w6J5/L5uYTFuQx4AD21Pfy5rpalmxtwuE+2E4dlhLJKeMzOWVCBgUqRrV/rpAkiX2NfXy2rZll25tpHqQljAozcubkLH4xK2/IrpnZ7uGpFRW8tbEeSYKESBO3nlHCCSr8lAbDJ0o89XUVb2yWNUTHj0jm9lNHqvJAA/i8rJ2HVlYCcM7YdH43Q91U62tbG1haJq8dt55YpErXVNVl5en1dUjAL8ZlqBo08YkSr+1oosPqIj8hnEUl6tZCUZT4eH8bvQ4PRUmRzNBgPwCwramPZrOTpAiT6sitQ9HS76Cu106In20KtqG0JEnUdNlwekWSo0IGLGuOFU5HGYdecJdXpKpT3okNT4wYkh1fY5+dxj4HYUY9Y9NjgrI777C62NTQi06AefmJmsbUzS4vH+5twSfB3GEJDFOZH9Ztd/PvbY14RYmTCpMYk6Z88kOUJF7YVE95h5XkyBCumzNMVbr20rI2XtvaCMC1c/KZrGKh8IkS931xgNVVXRh1AndqKJ68PpFHv6zgA//4/8LRadw0v1hVC2Aw2vud/PXDvawpl3elqTGh/GnhCE4sTR0yFsju8rJqbxufbW9m1d423N6D+rjhqVHMKUlh5ogUJg1POGrRLj8V2JxeNld2sm5/B6v3tX9LhxYRYmBeaSoLJ2Yyszh5yK6NKEp8tLWJx5cfoNefen/a+AxuPHUEMRp9qWwuL3d+vI/1VbIL/WUz87hslvqYl+X723noq0ok4MzRaVw9S53z/hfl7bz8jVzI/X7WMKbnKWeILU4vD62qwuLyMjk7lvPHqZusXV/Xw4Z6f4tuYrbqTsa+djObG/sI0es4uzSNUJUWESAPQa2plRnqOXkJQTF+FkWJbc29eHwS+QkRqti9H4LV5aW+R7YgKEyOwuCXJPzPFk5ut5sbb7yRdevWATBjxgweeughTKbvvrHnzp37Hz+bM2cOd9999xG/7uEueEOPHYvLS2yYkQyN4ZiHg9cnsq2pD58UXNZpY30vXXY3GdGhTMiM1XS+HS397GjpJ9yoZ1FJmmpvqy2Nvayq6caoF7h4QhZxKnLHBuudxmXEcOEE5XonSZJ45ZsGvjjQgVEvcMsJRYxQsQP1+kT+uvwA62q60esEbjq+QJVgNfCe3tvaxD9WVCBKUJwaxT1njiJLI9MpSRJf7W3j4c/KafFPW47LjeP6U0YExXX8+2B1evhqdxtLtzextqwdj+/gEhVi1DFhWALTipKYXpxMSVZs0LVYPzY8PpFdtT1sPNDJhgOd7KztwTtoaCPUqOe4UamcMiGDuSWphA4RGxjApsouHllazoFWMwDDkiO5+bSRTC1QH80RwIE2M3d8tI+GHjsmvY7bTx3BiSrY3ADe39nM0/7st1NHpfLHOfmqiqZv6nt4bE01kiRPv52hwpXbJ8q6psoubbqmVrOTN3Y2IUpw6ogURiiMdgnA5vbywd5WPKLEjJx4ilRkaQYgSRIb6nvptrvJjAllfEas6nMNRqvZQa3/uzA+M/hsE0B9jx2ry0tcuJH0QbYJ/7OF0zXXXENZWRnLly8HYP78+YwcOZLHHnvsO4+ZO3cuq1at0vS6h7vgdreX2m47AjA8OVKTZui70NBrp6nfQahf6xSML9ngXcSMnHjFkSOD4RVFPtrXhtnlpSAxglkqAx9FSeKdXc009jtJiQzhgnGZA7sEJRisd1o4IoXjVeiCRFHi0VVVbGvqI8yo47aTilWFJHt9In9fUcnXlfKU3eXTc1k8LkP1LntTTTd3frwXs8NLmFHPDfOLWDBKO0PkcPt4ZU0N/1pdjdMjs0Anj07jmvlFZA5BG/pQ9NvdrC3rYO3+dtbv76D9EGuJiBADI7NiKM2OY1ROLKXZceQkBX8oY6jgEyVq2i3sbehjT30vexv6KGvqw+X59kRqZkI4M0ckM2tECjOKk4kIHXqDzco2C/9YVs66A/J3NCrUwBUnFHDetBzNyQWiJPH2lkaeWilPqiVFhfC3s0opURnVI0oSz2+o490dMvuqxXR2d0s/D66sxCdKHFeQxG9UOux/uKeVtX6N5rWzh6nSNbm8Pl7Z1ki/00tRUqRqIbckSXxZ2UmTv612arE2QXhzv4Ntzf3+7kRSUBy9vaLI9qY+2V8uPmJIvBAdHh81fsb2UKPq/8nCqbu7m7S0ND7++GMWLFgAwNKlSznzzDNpa2sjPv7w7ZChKpwA6rpt2Nw+4sONpA1BovNQfdF2tfZT3+sgKsTAnGEJmgqywULEkwqSyFR5HSwuL69sbcDhFZmQEcM8lbEuG2p7eG93CwJwyeRsSlVoQdxekQe+qqCs3UJkiIE7Ti4mUwWrKEoSz66r5X2/v8xZY9K5QoXTeQAdZid3fbKPHQ19AJxUksJN84uJCMKAQnu/gye/qODT7c1IkhxMe+bETH49J5+Mo1BAgT8eod3CxnKZidlc2YXlMLYfUWFGSrNjGZ4WTW5SBLnJkeQkR5IRH/6jsVMen0hTl426Tht1HVbqO60caDZT1tiH3f2fVhlxESamFSUNMGvBnoj7PtR0WHl+ZRWf72pBlGTLkvOm5fDbecODEhDdY3Pz1yVlbKyWN2izC5O49ZQRxCj00gnA4xN56KtKvvJbffxmWi7njVe3CanosPC3FRW4vCJTcuL4w6x8xXEqcHCdAbhkUjajVRi/BuJQDnRaiQk1cPGELFUSA4DKLitr63rQC3CGhoEdkJ87K6u6cHpFipIiNTFXgzEURMDhXsPi9BITaiTzkPif/8nC6cMPP+Sss86is7OTxESZQu7s7CQ5OZkPP/yQM88887DHDWXhNNBLBQqTIzEMAesUoDaNOoHxQXITd3tFvqruxOOTGJUSpYpRGYxNDT2UdViJMMktO7XsW3W3jQ/2tgJyGOVwlQ+T93e3sL62B5Nexx9m5alyuXV4fNz7xQFqum3EhRm5c/4IklVOFL27o4ln19cBMLcgkZtOKFR9jXyixKsb63hhTS0+SSIjNoy7zyhRvZM/FAdazDyyrJxNlbIexaATOHV8BpfNzT+qD3eQWbuadusAU7OnoZf9Tf3f0kcNhlEvkJUYQXZSBMnRoSREhRAfFUJCVAgJkfJ/YyJMhBh0mAx6Qoy6w96zkiThFSXcHhGX14fLI9Jnc9NtcdFtcdFjdQ38vaPfSV2HleYe+3d6pIWZ9JRkxTIqO5ZR2XGU5sSSmxSp6oGtBRWtZp5fWcWXe9sIPBVOGJXKH+cXBe2z3VzTzT2fltFjc2My6PjjCQUs0sC02t1e7lpWzvbGPvQ6gRvmFXBisbq2d32Pnb8sL8fu8TEmPYY/HTdc1Zpd2Wnl2Y11iBKcMiKZEwrVvZ+dLf18WdmJToALxmYOePgphd3t5YN9rbh9squ3Gp3oYJS1W6jqthFu1HNcfmLQnjnbm3sRJShKiiQhCNKTQ+H0+Kj2s035iRH/MXjwP1k4Pfzww9xyyy14PN/egRoMBh544AGuv/76wx43d+5cxowZw86dO5EkienTp3PbbbcRFfXdfWSXy4XLddC4z2w2k5WV9R8XXJIkarvtODw+EiNMpAwB9ShKEjub+3B6xaBl2AHU9drZ3WrGoBOYNzxRk4jQ4xP5qKwNi8tLUWIkM3LVT198Xd3F1qY+Qg06Lp6QpcqG3ydKPL9J9lSJDTNy7exhqs5jcXr5yxflNPU5SIoM4Y6Ti1Tf8F8d6ODBryrxihJjM2K465QRmqws9jT1c8fHe2nrd6LXCfx29jAunJoTNMZlW00Pz62sZJPfvkAnwIKx6fz2uOFBjW9RCo9PpLLFzN6GPmraLdT7GZ6GLtt3FlTfB50AIUY9JoMOSZIXeJfXh5pVM8ykJycpgpykSHKTIxmWEklpdhzDUqN+VJ1WWVM/z62s4uuyg87280pSuHzecEYEqeB2e0WeXV09MDU3LCmCe84YRb6G70qPzc2tS/ZR1Wkj1KjjzvkjmKTCbgRki5e/flGO2emlKDmSW04oVMXudFhdPLamGodHVO0dB9BpdfHajia8osTcYQlMUhE9BfIzaEVVF439DhLDTZw6IkUTk2NxeVlVLdsPTM6KVZ1Jeiiqu620W1xEhhgoTR0aK5JAvEpUiIHsw7Dk/5OF01/+8hfuv/9+bLZvOx+Hh4dz6623cvvttx/2uGuvvZZTTjmFk046CYvFwvnnn09XVxcbNmxArz/8jXPXXXcdVjx+uAtudnpo7HWg8yv4h2KBDGTY6QQYnxkXFD2VJEmsqe2m3+klKyaUcRrFf61mJ8sq5JbdyYXJZKgsIn2ixBs7m2izuMiIDuX8sRmqFgKHx8dja6rpsLrJjg3jqpl5qq5br93NPcvLabe4SIkK4faTilXrwrY19nHX0v04PD6GJYTzl4UjNRXbFqeHB5aVs2K/fN1HZURz6ykjyAsStQ6yn89zX1Wx1q+DEQQ4cVQqv5iey7jcuJ+M1sgnSrT1OqjrtNLYZRtghL71x+qi3+ZGqXm+XicQG2EaYK7io0JIjJb/nhgdQnZiBDnJkaQMkQOyGoiixMaqLt5YXzegYRIEOKk0jd/Oy9fk+n0o9rX0c9+S/QPakrPGZ/CH4wtUWw2ALIO4fUkZbRYXsWFG7j11JEUqfY2a+xz8xV805SWEc9uJRaomim1uL4+vqaHT5iY3LowrZ+Sp0oK5fSKvbW+k2+5hWHw4Z41SZz0AUNVtY01tNzoBzhiZqmqwJgBJktjU0EunzU1KZAhTVNgqHA4Oj48dzX3A0GXSub0ilf5J92EJEYe1V/lZFU7fVaQMxpYtW1i9erUqxulQ7Nu3j1GjRvHFF19w4oknHvbfHCnjBH5dRpcNl1ckKTJEdTvn+yBJErtb+7G5faREhpCvwfl7MHrtbtbW9QAwPSdO8+ReIAQ4wqjnzJJU1f36PoeHV7Y14vaJTMyM5bh8ddM9nVYXj62pwe7xMSo1iosnZasqbLttbv6yvJwOq4ukSBO3nlikeoy2stPKbZ/uo8fuITrUwG0nFzNBRa5WAJIksXRPK49+WYHN5cOgE7hwWg4XT8/V9OA6FIdjLYanRLJ4ajanjssgcggWw6GC1yfi9sp/XB7fAMskIBBilNt4JoNu4O//TVN9vTY3H21t5L3NjTT5PaD0OoEFY9L5zXH5QWULbS4vz6yq5v1tTUjIeWC3nDKC2RrNWldVdvLQykqcHpH0mFDuP73kW9NRSlDXbeNvKyqwuLzkxodz64lFqphet0/k2Q111PbYiQszcu3sfKJUCPglSeKz8nb2d1iJNOm5eGI24SrvU4vLy8dlcotOa4gvyG7e2/2C8OPyE1Xl7B0O+9vN9Do8xIUZGZEyNP5jLf0Oeu0eIkx6cr9DevKzKpysVitWq/V7/01iYiKffvqpKo3ToXA6nYSFhfH0009zxRVXHNExP3TB+x0emvpk1qkgOVJ1KOP3od/pYV+bPC48Jj0maF/qgFA83Khnbn6iqmm2ADw+kY/L5Cm7nNgw5uUnqt5JVXRa+bisDdDmolvTbeOZDXV4RYmpOXEsHqMuLqLL6uLeLw/Q7t8B33pikSrBOEC7xcndS8sHWMRLp+ZwvkrKP4AOs5MHlx9gnV+blBkXxo3zi5ms0kPqu1DZZub1dXUs29UyMIUXZtJzyth0zp2aQ7EKkewxaIMkSeys7+WdTQ18uadtIEMyKtTAqeMzuGB6blD1aZIksepAJ498UUGXP4tw/qhUrj2hULUAHGTW8IUNdby7U56cG5cZw+0nF6v2D6rosPDAV5XYPT7yEsK55fgiVcWOT5R4eUsD+9oshBl1/H7mMNV6pEBagk6A80ZnqF5DREliaXk7HTY3SREmFhZra9G5vCJfV3fi9klBFYT3OdyUtVsQkJ9bWrwDvwuD2abchPDvfDb+rAqnI0Vgqu6TTz5h/vz5ACxbtowzzjjjO6fqOjo6eP7557ntttsGflZdXc3w4cNZsmQJCxcuPKLX/qELPtipNCHCNCRjlgAHOix0291EhxooSQlOn9jjE/m6Wp6gyE+I0Jyi3WVzs6S8DVGSWaziJPXnW1vbzaaGXgw6gV+MzVDdb9/TaublbxqQgBMLk1gwIkXVefocHv725QEa+xxEhhi45YRC1cJ6t1fk8dXVfL5fZnBmDkvgxhMKNBXEkiSxukJ+oHVaDj7Q/nB8AfFBmJYaDLPDw6fbm3lvc8NALAfAyIxoFoxN5+TR6aTEDM19cAwymrrtLNvVwtKdLf/xGSyemsP8MWlBf1C19jt4eHnFgJllVnwYN80vZqIGXSPI7Pdflx9gV7McTHve+Ax+PTVXNdu3p6WfR1ZV4fKKFCVHcuO8AlXXQpIk3tnZwmb/OnTF9FzV93xtj43397QiAccPT9TkjbS9uY+drWaMeoEzR6apiqsajG3NfTT3O4MyaR2AJEnsbOnH4fGRFhVKnsYhpO9CQNsUGaIn53uMmP8nCyeQfZzKy8tZtmwZgiCwYMECioqKePzxxwGZgRo/fjzPPPMMCxcupK6ujgkTJrBt2zZyc3Px+XxcdtllbNiwgd27dxMaemQL+5FccIvTQ0OvAwGZddLqg3I4OD0+drb0BX0yod3iZLM/U2x2XoKmUVaAPW1mtjTJUzCnj0glTuX5JEniw72tVPfYiTTpuWhClurQy411PbzrtwU4c1Qas/PVeU5ZXV7uX1FBTbeNMKOOG+cVqoppAD9tv6+df66pxiNKZMWGcdcpIzTH+NhcXp5bXc27W+UWSmSIgUtm5LJ4YpZm1/FDIUkS22p7eGdTA1/ta8PrN7MUBJiQF8+CMemcWJqq2X36GGR0mp18sbuVZbta2TMoBzDUqGP+mHQWT8lmlIbW73fB7vby2sZ63tjcgMsrYtAJ/Gp6Lr+anqO6JR9AWZuZe5aV02VzE2bUc+PxBapDsgG2NvTy+JpqvKLE6PRorps7XPV7XLKvjZVVXQjApZOzGaUy6qbH7ua17U24fCKjU6M5qTBJ9ca3zeJk2YEOJGRH73yNBcng9X9WXoLq9fpQBCbCDTqB8RmxQzJ1PniSblhiBGHf0/b8ny2cXC4XN954I+vXrwdg+vTpPPTQQ4SEyAVEe3s7JSUlvPDCC5x55pk4nU4eeeQRPv30U0JDQ7FareTn5/P3v/+dnJwjT9E+kgs+eMJuqHyd4KAXRohBx7j02KCNNAcyiaJDDMzWuOOQJIkvKjtpNjuJCzNy2ohU1S1Al9fHazua6LF7SI8O5bwxGarPFQjiBDh/bAaTVU7oODw+HlpZyf52Cya9jj/OyWecBhf28nYLdy/bT6dVfnBcP284xxVo04kAlLWYeeDzcg60WQDIiA3j6nnDmVukftH+PvRYXazY28bSnS3sqOsd+LlBLzC9IIl5JSnMKk4mcQh0gD9ntPQ6WFvewVf72thS3T0gbtcJMHl4IgvGpDGvJJXoID3wBsMnyhq6Z1dV0+2PYhmXHctN84vJ1dj+kySJT/a28fTaGryiRHZcGHcu0LZxWFvdxbMbZBPcSdlx/H7WMNWb2BUVnSz1M8Lnjk1nqsqsNpfXx2vbm+hxaF/DXF6Rj8pasbl9DE+IYLaKmJjB+FbHIQgZpoPPu6N5aM0u4aBvU1Sogey47//e/M8WTj8WjvSC21xe6vy+TsOTIoO+uwd5IdvR3IfbJ5IdG0ZmkOwJgt3jtnt8fLSvFadXZERyJNOy1VP5vXY3r+5owuUVGZUSxfwidaHCkiTx6b42VlV3IwAXTsxinMpxbLdX5B+rq9jpF1NeNjVXU7HTa3dz7/ID7PS3Kk4ekcxVs4Zp1rL5RInP97byzKpquqzyg29MZgxXzyugNDM4o+iHQ0uvg+W7W1i2s4UDrZZv/b+RGdHMKEpmRmEipVlDsxP9b4bHK7K9rocNFV2sO9BBVfu3NaCjs2NZMCadk0anDVkRKkkSm2t7eOrrKir9r58RG8bv5w1nThAK7z6Hh0e/rmR9jTycMis/gRuPV9dOC7zfT/a28rbfWXzWsAQun56nutW3prqbj/yecqeXpDJXJQMm+lnzmh47USEGLhqfqfqeliSJr2u6qOt1EB1i4IyRqZo7G7tb+6kLksZ1MGq6rbRZXIQb9YwJUtbqoXC4fdR0f7dv06E4VjgdZSi54AE38ehQA1k/UAGrRafVRWWXLCwemx4btOmpwFSFgEzZam3ZNfY5+LJKHoXWEgQMUNtj5/09LUjIUTHTVWoqJEni3V0tbKrvRQAumJCpOrPP6xN5bmMd62pkr6OFI1P4xfgs1SygT5Sz8t7c2ogEpEaFcNMJhYwOgtdOoNXy+uaGAb+j2YVJXD57mCavnSNBTYeVL3a3sqa8g31N/d/6f1GhBqYWJDIuN55xOXEUpkX9zxVSbq+P/c1mdtb3sq22h2+qu3EMchvXCTAmJ47ZxcmcVJpGZsLQOrnvbe7nmVXVbKuXWcOIED2XzsgLWqt3Q203j6ysos/hwaAT+M20XM4eq25oA2R24/lB9+EpI1O4YEKWatZ8dXUXH++VB1NOKkpifrE6TWQgBmWX3y9Pi04TYG+bmW+a+hAEOLU4hSSNUo1A6DvAtJw4zecLwOLysMefe1iSEh2UcOBDIUkSdT127G4fMWHGIxLZHyucjjKUXPDBWTl5CeFDMkUgSRJl7Rb6nR5iQo2MTIkKSkUvSRJbm/potbiINOmZPUz7DmRrUx+72+SF47QRKZp8RgJOuwALipIZpZJWFiWJd3Y2801DHwLwi/GZTFSpC5Ekifd3tfCBP35hXGYMv5+V/7299h/C7uZ+HlhRQZvFhQCcMzaDS6fmBOWh1W528sLaGpbubh1o+cwuTOKSGbmMUKnfUIIui4sNFZ2sO9DJxsouzIdEqoQa9ZRmxTI2N45xOXGUZsUSrWFS66eIbquLPQ197KjvZWddL2XN/+mGnhBpYkZhEtOLkphekDjkGjFJktjR0Me/1tey1d9mNeoFzhqfySUzcokNwuvb3F6eXls7MBCRGx/OzScWUqCB3e53eHh0VdXAhOrFk3JUO4sDfF3Vxaf75KLphMIkFhSrY7dBTlRYWyszameUpFKowUZmsK5panYcI1UGAQfg8oqsqunC5RXJiw+nNEgtOlGS2N3Sj93jIynCRIGG4aDvg9nhobHPoSgr9ljhdJSh5IKDbLjW5/AQZtSTlxA+NDSlx8cuv1B8eGIkyZHB2S24vSJf+2+o3LhwRmt8mIqSxBcVnbRYZP3U6SNSNRUAa2q62dzYi06As0alkaeSxRIlifcGMU/nj8tgkgbDtw213Ty7oRaPTxZ53zCvgCQNn4nN7eWZdbUsKwveQ2YwajutPL+2llXl8mIMMGVYPJdMz2VskIzvfgg+UWJvYx/fVHezs76XXfW9WJze//h3KTGhFKRGMTw1isLUKApSo8hLisQ4BK3wYMLp8VHbYaWi1UJlm4XKNjOVbRa6/S3TwYiLMDE2J44xObFMHZ5IUVr0UYlkkSSJjdXdvLyhjj1+NlCvE5g/KpXLZuaRpnJc/lDs8m8G2v2bgcXjMrhkirbNQGOvnYe+rqTT6ibcqOePc/Ip1eBl9FVlJ5/577eTipI4WaUkAGBfu4Wl5fK5tE7Q2dxePilrw+HXIc3OS9D0TJEkiS1NfbRZXESFGJidlxA0r7KmPgcNfbIgfFxG7JAMSYmSRFWnFY9PIjHSdMSeescKp6MMpYWTxydS1WlFlGRdgNaW13dhqL6kgyncKVlxpGjUUTg8Pj7Z34bN7SMrJpQThqvXSEiSxNLyDso6LBh1AudroL9FSeKD3a1sqOtBAM4dm8EUlYJxgKouK498LbcgokMNXD93OIUad4Yba7t52N/W0OsEfjEhkwsmBG86rq7Lxisb6vhyXzs+/1IxNiuWi2fkMiUv/qg6YYuiRHWHlV31vez0/2nsth/23xp0AulxYaTHhZERHz7w9/S4cNJiw4iPMA15YeXy+OixuWntddDc66Cl105zj4OWXgctfXZaex2HdSkXBMhLihwolMbmxJGTGHFUr7VPlFhT0cnL6+uoaJc1aCa9jlPHpHHhtJygDbfY3V5e2lTPx7tbB9rPN59YqKnAAdjR1MeTa+Xok5SoEG6YV6AqkzKAFRUdLPU78J9clMzJGlir2h45c1OUYFJmLHNVGviCX5x/oJ1Om5u4MCOnFqdoXufre+3sajUjIE9RB6uVNlSb+UPRZXXRbnFh0AkMT4o84qLvWOF0lKG0cALotLjosLow6uUPdyiSoIeSFt3bZqamx45Jr+O4/ATNI8ddNjeflbfhk2BsWrSmHZhPlHh/Twv1fQ7CjDouGJtJvMpWgiRJfLCnlfV+Sn1RaRqzhqmfVOm2uXhoZRX1vXJBe+mUHM0Tcn0OD//4umpAw5EZG8Z1xw1nTJByxgCaex28urGOpXta8fgtBYYlRnDOxEzmj0o7bITB0YDF6aGqLcDY+P+0WrC6/pOZOhQRIQZiwo3ERZiICTcSG24iKtSA0aDDZNBh1Mt/TIaDYb8er4jH7yzu8R38u9nhoc/uod/ups/mps/u+ZYO6bsQE26kIDWKwtToAdZseEok4Rp9d9TC4vSwZFcr729rornPAchWBovGZ3LBlGwSg/iw21DbzROrq+n0M2wLRqZw5cw8TfKFwIDH2zuakCQYmRLFH+cMV2VsGTjfsv0drAhIAIqTObFIfdHUanby9q5mPKJEcVIkp45I0VQQr6vrpqLLhkmv4/QRKZrjSqwuL6truvFJEiOTo1QHqR8KWT5ipt/pDap85FB4RZHKDpmUSI8JJU7Bun+scDrKUFM4iZJEZYcVryiRHBlC0hBNv1hcXva0yhT7iOQoRV+k74NPlLPsLC4vyZEmpmRpzyWr7LIORLwcNyyRPA1jx26vyFu7mmm3uogOMXD+2AxiVC4qkiTxyb42VlfLhcmJhUnM16BtcHp8PL2+hi0NfQDMzk/kksnZmkT8kiSxtrqbJ9dU02OXdUEnFiVz+YzcoH3mAB0WJ69vauDTnS04PHJhEBli4JTSVBaNz9Q8gh4MSJJEe7+Tpp4Aw2OXWR7/n7b+wzM9QwGDTiA1NmwQ43WQAcuMDycpKuQnkV9X3mrmg+3NfLGvDZf3oLP42RMyOW9SVlA0TAG0mp08tbaGjf7NSFp0KNfOzWeCxhaw1eXlmfW1bG/qA+C44YlcOiVH9TCBT5T4YE8LG/2aroUjUzhewyanw+ri7V3NOL0iOXFhnD0qXVMLrKzDMsD8n1SQRKZGFtAnSqyv66bP6SUx3MS0nOBlTbZbnFR324I+sHQoWvsd9Ng9hBp0DFPI0h4rnI4y1BROIDMFzQEB2xDZE4BMDbeanZj0AmPTgzfebXZ6WFMr+8YUJ0VSGAR9zaaGXso6LOgFgQVFyZroXJvby5s7m+l1eIgJNfCLsZmqHXQlSeKLA50sPyDT9ZOyYjl3bIbqhU+UJD7Z08q7u5qRJMiICeWa2fmaJy2tLi8vbKzjs71tSEC4Sc+lU3I4vTQtqJlqFqeHJbv9zESvY+Dn47NjWTQ+k5kFiUO2OGqFKEpYnB56bW767R767G76bPJ/rU7vAJMks0vSAKskCAywUEaDDqNeGGCmokKNxIYbiY0wERNuGvh7ZIjhqGiR1MDm8vJ1eQcf7mimrMU88PNhSREsnpjFySWpQWUS3V6Rd3Y08cbWJtw+Eb1O4JyxGVw0KUvzd6Wiw8ITa2rotrsx6AQunpzNvAL1LX+XV+TVrY0DcSBnjU5jhgZPpC6bm7d3NWP3+EiLCuHc0Rna9Ft9DlZUdSIBEzJiGJOmnV3e3WqmrteOUS8wd1iipgGWwXB5fexs7scnSeTEhWtqmX4fBg9e5cSHK84cPFY4HWWoLZwGj0xGhRjI1ugI/V3wiRK7WvpwekWSIkKCJiAGaOizs9O/6E7LjtMkeAa5oPiqqpPGfiehBh2njUjVFBdgcXl5c2cT/U4vcWFGzh+ToSrEM4CNdT28t0u2PShKjuTiidoW/bI2M0+uraHP4cGoF7hkcg5zh6vP8AugvN3C46uqqfBnNOUnRnD5jDxNgcGHgyhJfFPbw4fbm1hX2TXA5ESE6JlblMz8UamMy477rwrC/TnD6xPZXNvD8r1trKnoHGCXDDqB44qTOXtCJqMzg+urI0kS62q6eX5DHS39TgDGZsTwhzn5ml3wRUliyb423tnRhChBSlQIf5yd/51BrkcCi8vLi5vqaehzyKHYE7IYrSFjscfu5q1dzdjcPpIjQzhvdLqmNaPb7uaz8na8okRBYgQzc7RrDQNWMyBP5QVLfzR4wjsqxMCo1OBEgR3udQIG02qtfo4VTkcZagsn+LYlfHZcuOpe/A/B4vSwxx8CXJwcpVrzczjsbOmnoc+BSa9jzrAEzTsVj0/ks/J2ehweYkONLCxOIUTD7qzf6eGtnc2YXV7iw+XiSYtx5L42M69ubcTtk8iMCeU3U3M0aQv6HR6eXl/Dbn8BOj0vnsum5mq+jj5RYmlZGy9trMfi1/xMzI7lt9Nzydcw+vxdaDc7+WhHM5/vaaPN7Bz4eVJUCCeVpDB/VCrDNYrhj0E5JEliX4uZz/e28VVZO32DLB6y48M5ZXQap41JD3peIcDeVjPPra+lzO9OnxBu4oqZecwt0L45MDs9PL2ull0t8gN/em48l03Tdt90Wl08t6mebps8iXfZ1BxNkoFeh4e3djZhdftIjDBx/pgMTe/P5vby6f72Aebq5IJkzYymxeVljV/XVJgYQXEQ79E2s5OaHrlFNyY9Nmgs1qHotbtp6XeiE+TujRqB/LHC6ShDS+EE8per2+bGpNeRnxQxJEJxgLoeGy1mJ0adwNggTtn5RIm1td1yYRJmZHpuvObfIdgLRJ/Dw1u7mrG4vCRGmDhvTAbhGm7i+l47L26qx+qWI3R+OzVX03ShKEks2dvGOzsP7pyvmjksKOxgv8PD61sb+WRPK15RQgBOLE7mkik5JA+Btk6UJHY39vH53jZWlnd8y0IgOz6c2YVJzCpMZFRGzJB91//X4fWJ7GzsY21lF2srOmntP1jIxoUbObEklfmjUilOHRqRbmOvnRc31g8MLIQadJwzLoNzx2UExbtuV3M/z26oHWBqL56Uw3Eai7FD7+nLp+Zquj8Gb9gSwk2cNyZd04bt2xtKAwuLUzVtKEEWU6+p6R4o7KZlB0/XNDg7NTc+nPTooWnR+USJyk4rPlEiJSpE9QDDscLpKENr4eQTZd+JoRaKi6LErlY5jToxwkRhEKfsrG551yJnD4WrNp8cjG9R0gkRzMzVRkn32t286afMkyJMLB6tbSHrsrl4bmO9P3xUx8WTsjXrvA50WHjCL/AWBDhjVBpnjU4Pii6tpd/BixvrWe1PrjfpdSwak8754zOHjOl0e0U2VHexfG8b66u6BibyQH6AzyxIYmZBIpNy43+0ybyfC6xOL5tqullX2cWG6q5vFayhRh1zi5I5qSSVSXlxGHRDo6fssbl5bWsjS/zj9joB5o9I4VeTgzOR5/T4eHN7E1/6tYbpfm3gD+WQ/RB2Nvfz5o4mPEFikfscHt7Z3XxQIjA2Q3UAOchr94rqTpqCJGEAmYnc3txPs1k+55xh2qejB597X7sZs9NLdIiBkiFq0cFBQXiIQUe+BtuOY4XTUYbWwgm+LRTPT4oI2hf4UAyesgu2l0ar2ckW/0TL+IwYzVMe8G0R5KiUKCZlxmq6Abttbt7eLRdP8WFGFo9O17RAWl1eXtpcT12v/NmdVpLKnHxtBnRWl5eXv6lng3/qKCs2jN/NyGOYxpTzAPa3WXh+Q+1AazDcqOf00jTOHpse1Am8QxF4sK+p6GRjdfe3LANMeh2lmTGMy45lQk4cI9NjhmxY4ucCp8fHnqZ+ttf3sr2hl30tZnyDxgVjw4zMKEhkdmHSkBem7RYn72xvZllZO26frJualhvPb6bnatYxBbCvzcxzG+rotLoAOKkomV9MyNS0VoqSxNKydlb6NxMjUiL51cQsTefssrl4d3cLVrePWL+uUkuRI0nyBHN1jx29TmBBobahmQCqum0D4vfpufEkBPHeb+p30NBrH/IpOrvbS63fyy03PpwIDdf5WOF0lBGMwkmSJOp77NjcPsJNenLjh8ZRHKCxz05jn2NI+s5l7Raq/GOnM3ITiAuCeVpFl5V1fpuC8ekxjNVojtdjd/PO7hYsLi9RIQYWj07XtGh4fCLv7WphS2MfAOMyYjh3bIZmGn1TXQ//2izrk3QCnFqSxtlj0oPSYpUkiU11Pby0qX5g4THpdZxSksK54zKHpIU3GB6fyI6GPtZVdrKusutbrSSAEINcSE3IiWNcdhxFqVE/2Sm9owWby8v+VjPb63vZ0dDHvpb+bzF4ADkJ4cwsSGRWQRKjMmKGXJTf1Ovgze2NrDjQOVC0jUiJ4rJpOYxVmfF4KBweH29sa+SrCtlLKTHCxG+n5Wo2ybS5vby6tZGKTlljOnd4IqeOTNHUPm4xO3l/TwtOr0hiuMxqaxlGkSSJjQ29lHdaEQQ4Pj+J7CC4tbdbXGxulK0MRqVEBW1TBrKedm+bGQnIT4g4YudupRAliZouGy6veMR5dN+HY4XTUUYwCieQ2xrVXbJ5V1p06JCINeHbNGqESU9pWvC0JpIk8U1jH+1WFyEGHbPztIvFAfa1m9nsL0yCkcVkdnp4d08LPXYPYUYd55SmawrYlCSJ9bU9fORvUaRFh3Dp5GwSNQZjmp0eXv6mgU3+wjEjJpTfTs8LivUDyIvPxtoe3tjayIEOeQLPoBM4sTiZ88dnkhGkSI3vgyRJ1HfbB5iT7fW99Nq/nVGnEyAvMZLitChGpEVTnBbF8OTIIWNmf2w43D4q2i2Ut5opb7Owv9VMQ7edQxfrpKiQgeJyQk4cGXFD/3kBVHdZeWNrE2uqugbe07jMGC6YmMXYjOBN5e1q7ufFTXX/396bBsl13ue9z9l733v2BRhsBAkuAvdFBCVStCVZsn1TXuQrW1aUpJJKyY7Kdjn+ZCmbEztSpZQ49oeUFEm5upXr2JJpSbYkiiIpihRJcANIAsQymMHsPb2vZ3/vh/ecMz2DATDAnF5m5v1VNXs2cM706fOe//tfngf5BhXJfOJwFp+4e3zba8pCpYWvvnIZxaYBWeDwa3eN4n3bDPRmSk18++0lGDbBcFTBP7p9ZNvH6Xp5AsCJ/Wkc8CHAqWkmfnKJtlVMJIK4c9i/Mppp2XhrqQLNtJEJyziUiXQsAbBSU5GvU/mJA9nItn1TWeDUZfwKnABaSlqu0umAA9mtmRPeDJpp4a3FCkybYDgawH4fdxyGZeOFmSJqmolEQMTD+/zxOnp9oYw3HVft9+9L4dA2J8OahoW/Pr2I5ZoGWeDwy8eGMZHYXllhutDA116dQ00zEZR4fPLucRwd3H4v2auXS/jKz2ZQcfpWPnAwg18/Pu5bbxIhBK/PV/DNk3N4yxlL5jngof1p/NIdw7jTx5vhVo5lJt/Aa7MlvH65jFNzZRQaV/q3iTyHfZkwJtMhTKbD2JcOYTITxkQqtGOyUw3NxOViE7OFBmbzTcwUGpjJN3C52NxUpHMwpuDO8QSOTyRxfDKJsWSwa+fFJgSvzJbw7VOLOOmItwK0JPeJe8Zwq09GsABdB//Xyct4eZZmRbIRBf/soX24zYff8dpcGf/fWwswLIJ0SMKn75vESHx7WZH3Vuv47hnqfDCZCOKXjg1ve+0+tVTFyYUyAOChyRRu8WGzpFu0Gbxp0Ab4hya3P8jjQgjBudU6Ck0disjjzpF4x3rp2qfRxxNBxHyobLDAqcv4GTgRQjBTaKJpWIgoIiY6uDAWmzrO5uiYsN8SBQ2d7mp0i2A0FsBxH268bjbrnRyty3/gQAb7ttkUqps2vvXOEi6XWxA4Dh+/dWjbNgPlloGvvXoZs07f04eOZPHkkYFtL1A11cQ3X5vDcxdpP0ZEEfGJ42M4cTDj63TaO0tVfPPknHfTAoD96RB+8fYRPH4k27GR4muxWtNwdqmKM0tVnFmimZj2sfqNDMUDGIkHMBALYCCmYDAaQDamYDAWQDaiIBaUOl7GMi1qxZKraVipasjVVKzWNKxUVeSqGhbKLazWtKv++0xEwdHhKG4ZjuHocBRHhmIdy0Jfi7pm4h/OrOCp00ueDhPPAScOZvCJu8cx5aNavGnb+P6ZHP7PWwvQTBs8B/zcLYP4lbtGtx0Mm5aNp95ZxgtO7+AtAxF88u5xhLbZ+3VqqYofnKNm2IczYXz06NC2sx9nV2t40bn+7h1L4HYfAkabEPzscskbZnl0f2bb7QTtLNdUTBca4AAcG44hqnTGg5UQgulCA6phIxoQtz0Y4MICpy7jZ+AE0GzQxdUGCGhpxk+7g424quIiz+GOkTgCPpY+8g0NL82WQOCfsjghBC/MFHHe6aN64uD2rQZM28bfvbuCC85F/6FDWdy5zf4J07LxrbeXPLuGg5kwfuP4mC+GzmdXavjqy7OYc7zEDmbC+O37Jn29gQHApUIDf3tqCU+/l4PqCCVGFAE/d8sgPnZsGGNdKgttBiGEasSsNjBbaGAmT7M2M4UGqq3r+9QBVKQzGpAQDYiIOc9hRYTIc5AEHqJAnwXnc0IITJvAtAhMm6qKmxZ9rmsmaqqBmrr23NyCVx0ApMLyFVmzA9lIx6Zrt8rFfB1/d3oZT5/LQTXWzv/PHx3Ex28fxojPCtDvLFXx9Vcve+/rw9kIPn3/pC/N5bmahv/12hzmncDviUNZ/PzR7W1miBOIuP2XdwzF8KHD2W1vYi4WGnjuUsH7f97jQ68YIQSnl2uYKTUhcBwe2Z+6aQuqzWjodOjIJuioOjiwZuK7Hc2mzWCBU5fxO3ACqBBbrgNvjo3YhODtpQrquoWwLODYkL8NpTOlJk455bX3jcQx7kPPjE0Inp3OY6bUgsABHzyQ3fb/1yYE338vh7cdJ/i7R+N47MD2Mzkn50r4P28tQbdsBCUBv3rXyLaDMsDZmZ/N4a/fpN5XHGgG4FfuGvV9Mq6mmvj+mRX87eklLLUJWx4bjuFDtwzgxMHMthpg/abU0DFbaHhZnpWqhlXnOVdVr+if6iQcgHRERjYawGBMwUBUoVmwqIKheBCT6ZAvZQa/KLcM/PjcKn54NuepzgN0YumX7hjG40cGfM845moavvn6HF5xMiwRRcRvHB/Doz5kUgkh+NlsCX/79hJ0iyAsC/jE+8Zw69D2yuembeMf3svhjNMXeN94Ao/u3940LUD9Ol+YKYIAOJqN4AGfdJXO5+vesd47lsBwzL+GbcOyccrpa0oEJRwd6Iw2GEBLdNN5mlS4URPf68ECpy7TicCpXUI+LAuY7OCUXXu/Uzai4GD65rUwNuOdlRouOtmc+32S87dsgh9P53HZmQ78wFQGk9tM2W7cQe5PhfCxo9sXmcvVNfw/r817O+n7J5L4pduHfGlsLjV1/L+vz3tCg4rI48NHB/ELtw35IjTYjmUTnLxcwlOnl/CKk0kEAEng8PBUGh86MoB7doC9imnZqDqZobpqeh9XWwaaugXTpv50lvPsZpaANa86UeAg8hxEgXrWhWUR0YCIaHB9BisSEDvW5+EXumnjZzNF/PBsDq9cLnnTcQLP4ZGpND52bKgjPW6VloFvn17E0+foRB7HAU8cHsCv3LU9WySXumbi/3tzAW87quWHMmF8woesb0M38a23l7DkbGwfP5jd9qQvQPukfjpL157DmTAe9sFKBVhvp3LbYNSXBnMXQgjO5Goot6iO0h3D8Y5u8t0puqgiYtznNhYWOHWZTgROgFOyyzdACDAUU5De5oTWtSi3DLy7QjNDU6kwhnzckbQLrYk8h4cnU4j7sMu2bYJnLxUwU2qC44DH9me2ZY/g8t5qHd9zhDczIRm/fGx424utZRP8w9kVPHOeTiFlwjI+efeYb/X5c7ka/tfJOVxwGiYjiohfvH0YHzoy0JEBg3xdw4+czMRMsel9PRmS8IFDWbz/QBq3DsX6Pojaq5iWjbcWKnj+YgHPXVhFXVsrKx4ZiOBDtwzgA4eyvlynG2kZFr77zjK+9+6yVwK+fTiG//uecR+vhzq++fo8qpoJgePw0VsH8eiB9LYzWLm6hm+9vYSqZiIg8vj4rUPb3rABwLu5Gn52mWbc/Mw0rdY1/Owy3eT4JUzczuVSE/MVunm9fSi+LR2l6+E6bAg8h4OZsG9m9S4scOoynQqcAKrEu1RVwQGYyoQ7Oi20UGlhttSkzX1DMUR9rIFbNsHLl0vIN3UoAo9H9qe2pdrtYhNq93KxSI/7/fvTOOjDjmq5puJbby+hrlsISjx+6bZhXwQ9L+Qb+Obr8yi3DLpbPZTFh45kfclKEEJwcq6M//3GvNfEmwnL+Ed3juL9U+lte1pd7XdeyDfww7M5PHNudV3DdiIo4aH9KTxyIIP3jXVuJ8rYGqph4bW5Mn5yMY+fzRTXBUvZiIwnjgzgiSMDvglWbsSwbPzo3Cq+fXoRVWc6dCodwq8fH8exYX/WTc208N13V7wG8IGIgk/ePbZtjR+AXrvfObsMwyJIBiX8X8eGfRmoeXu5ilcc4eDbBqO4b5sivy7lloGfzhZh2QQjsQDu9jlr2D5cdCgT2bbB+7VoaKa3QRtPBrclWnw1WODUZToZOBFCcLnUQt3Z4ezPdM7LjhCC91brKDZ1yAKHO0YSvmYrDMvGT2eLqKomQpKAR/anfGlGtwnBT2eLOO9kWx7Zl8JhH0xsaxpNya/UNQgc8OThAV92bE3dwv85tYg3nfT5cEzBr79vzJf+L4AGqc9fzOOv31pA0ennGY0H8Mt3jOCByVRHAiiAZjFOXi7juQv0xlxrUwYPyQIe2JfCg/tSeN94wpcmecb1ydc1vD5XxouXinj1cgmak+EBHGXxqTROHMzgrrHO+Qaalo2fTBfw7dNLnur3UFTBr75vDPdP+ueNdn61jv/95tp7/qF9KXz8tqFtK9ATQnByvoxnnXL4RCKIX7x1yJdN7FtLFbzmrAN3DMV8C27qmokXZorQLaqndP+4vyX0lmHh1GIFFiEYigZ8FdDciGUTXMzXYVgEiaDUMW05Fjh1mU4GTgANOC6uNmARgnRY9rWMthHLJjjl+NlFHY8hPxdU1bTwwqUimoaFmCLioX0pX4KzdoVdALh/PIHbBrd/LnTLxvfOrnhB2V0jMXzgQHbb48YA9cf6G8eageeARw9k8PNHBnyzGtFNG98/u4Kn3l5Cw5nwGooq+NixYbx/Ku17qrsd07Lx1mIVL1zM48XpIgrN9TpMB7Nh3D2exN3jCRwbjjF7FZ9oGRZOLVTw2lwZr82VMdtWRgXo+X94Ko1HulBKVQ0LP76wiu++s+wFM4mghH905whOHMz41vvV1C383TvLeNkpdSWDEn7trlEcHtj+5kkzbXz/XA7vOevKncMxPH4wu+3XjRCCkwsVnHbELf1wRHBpGRZ+OkPX2HhAxEOTKV+zvaZt4/RStWP3iHYIIVgoq6io1Mz5QCbSsfcsC5y6TKcDJ4AqSM+VaHPxRDLoaxltI+27iWxYxkGf1V/ruomfzhTpFEZAxIM+XdiEELwyX8Y7zmScXzs4Qgh+OlPES87CPBhR8PFbh3zJmtQ1E986vYQ3nF1nKiThV+4cxREfFn2Xhk6n4v7hzArqTgCVCkn46G1D+MDBbMfFIm1CcHa5hhemC3j1csmzeHFRRB7HhmO4YzSO24aiODIQZYa/W6SumTizXMO7y1W8tVDBu8s1mG3KmRyAQwMR3DuRxCMH0ji4DRPUrdLQTfzwbA5/f2bFyzomghJ+4bYhfPCQf+83QgjeWqziW6eXvN/z0L4UfuHWQV9+R66u4al3l1FyyuofOJDB+0a2v57YhODF2SLOOZsxv3SaABqs/nS2iIYzJf3wPn+y+i6EEJxZqaGsGpAF2gzeyU1Pqal7bQf70yHfB17aYYFTl+lG4ASsuUALPIcDmXBHe0bKLR3vOgHIRCKIsW0qam+kppn46QwVyEwFJTww6Y9jOyEEp5arXvr7QDqERyb9US6/VGzgu2dW0DJtKAKPD98ysG31cpd3lqv467cWUXZ6P+4ei+Njtw35WstXDQs/Ok8zAG4vUlQR8XO3DOCDhwe6Vj4rNnS8Pl/GycslvD5X9rIRLjwHHMiEcetQDLcORXHrcAxDUaVrCtn9ik0IFssq3l2u4p3lGt5ZqmK2eKUNy2BUwfHxBO6ZSOKu0XhHGrw3Y7Wu4Yfv5fCjczm0HN2ngYiCjx0bwqMHMr6uV4WGjm+dXvLWqIGIgl+9a8SXkpGrefSjC6swbYKoIuLjtw5hxIdMv2HZ+PHFPOadvtWHJlM44pN9kmbaeHG26LkWPLLPH7srF0IILhUbWHamCY8NxTsqQ9IuPTAQVTraQwWwwKnrdCtwsgnBpXwDqml33AgYoFMM00W6KzqcjWzbd20jFdXAizNFGM702v0+jrKfc0Z7CYDhqILHD2R92RlVVQN/d2YFi46e0T1jVL/Fj+NWDQvfO7OCn16ix62IPH7uyAAemUr5OtJuWDaev5jH3729jJzTcyLwHB6YTOLJWwa7kpVwIYRgptjEm/MVvLNcxTtLNa8Ppp2wLGAqE8ZUOoypTBgHMmHs20HWKjdKUzcxXWhiOt/AdL6Bi/kGLhUbnhBlOyPxAA0wh2I4Pp7AaDzQ1fP3znINPzi7gtfmy3DvJuOJIH7x9mHcP5nytbSimzZ+dH4VP76Qh2kTCByHxw9n8MShrC+lZ92y8fT5VS9rvT8VwkdvGfQlAGkaFn54PoeCs/l9bH/al4k8gB73i07/aEDk8fA+f4Zv2lmqtnDJKf0eyUaR7qCKfbv0QKfleFxY4NRluhU4AXRqZDrfgE3oJMxAh5ynXVxl8U5M2gFAqaXjpdkS1ZAKy7jPxybGuUoLP75IF9hkUMKTh7K+LCaWTfD8pQJOOpMwI7EAPnZ00Lfs0Gypib85teTpPg1EFPzy7UM4sk1j441YNsHLs0V8/+wKzjsO8QCddHrylkE84FP/2Y2Sq2l4d7mKd50S1IXVxrrykwsHYDgewGg8iJF4AKOJAEbiQYzGAxiMBXpy7DeCZlpYqqhYqKhYrLScZxUL5RZWrmLFIgs8Dg9EcNtw1MvI+S14uhVUw8JPpgv4wdkVLFTWi6L+/NFB3DXqb7O5W5Z7qi1beigTxi/fPuxbz2ehoeOpd5eRb+rgADyyP4X7x/1pXi+3DPzgfA513UJA5PHEwawvenYA3Qi9NFtCWTWgCDRo8jsT1D5B12llcABYKLdQbhnUwLcD0gObwQKnLtPNwAmgF+GCc1OdTIU6mi4lhOBsroZSy4DEc7h9OO77Lr/Q0PGzyyVYhGAgLONeH4OnfEPHD8/n0DJthCUBHzqU9c2T73y+jr8/m4Nm2QiIPJ48POBb2t0mBK9eLuO77y57fUnHhqL4+LEh3zN/ADUn/sHZFbx0iWYAASAWEPHogQxOHMh0bJJlK5iWjculFqYLNPMynW9gutC4pgI4zwHJoIx0WEYqLCEdVpAK0ed0WEJEERGWRYQVAWFZREgWtn2jt2yClmGhrplo6CYamoWaZqLQ0FFs6ig01h7Fpn5dBfNMWPaya+7zaDzYM20sNzv43IU8fjJdQMug70tF5PHogQyePDLQkffJYlXF355e8gY0kkEJv3hsCLcPx3wJagghOLVUxY8v5mHYVF38Y0eHfJtyXa6pePpCHrpFhRt/7lDWt01We9AkCxwemkz5Pqrf0EycXqZ2KgMRBQd8FkjeSKVlYL5L97d2WODUZbodOAFrEbnAc5jKhDu6u7ZsgreXK2g4u6XbO6AOm2/oeNkJnjIhGfdNJHwrT9U0Ez84n0NFNSHyHB6bymDCp0Wx3DLwd2eWsexkCI4ORPCEjw3XLcPC98/m8MKlAmziqDnvT+HxQ9mOLChV1cAz51fx9Hu5db1HBzJhPHoggwc7sJu9WYoNHXPlFs3WlNdnbdyb+lbhQCUTgpIAkecgOKrgIs95DwLAtAks2/Wsc9TFbYKWbqF5g78ToCXI0QTNkrnZspFEEOOJYNd6k65HpWXghUsFPH8h72VBATqh9+QtVFiyE0275ZaBH7yXw8uOSr3Ic/jgoQw+eNCfsjvgGBify3klqIlEEL9wdNC3Mtf5PG0ZsAmQDct44qB/JtmaaeNnl4uoqCZkgcODk/76zwE0s3h6uQLDIogHRBwd7NwEnfv7pgtU9LkbFZV2WODUZXoROLX3OwUkHvvTndN3AmhZ4fRSFbplIyLTEVS/d775ho6X56jlQzIo4YGJpG8BmmZaeOZiHktOgHPPaAK3D/njqWTZBC/NFj2F3ogs4OePDPqiYu6yXFXx7beXcM4pqSkij8cOZHDiQLojfT6WTfD6fBnPX8jjjYUy3EqZxHO4eyKJRw+kcWw41pd2IoQQlFsG8nWa3cm3ZXyKzsc0K2ShoZlehs0vZIFHxMlkhRUR6bCEVIhmv9ofmbCCWEDsy6Z33bLx5nwZz18s4M0N5/+eiSQePZDB7SOduYnWNRPPnF/FC5eKXon2zpEYfuHWIV/7as7mavjh+VWopg2B4/D+/Snc45P4pE0IXpsv47TTK7UvGcSj+/yTAFENCy/OFlHXLcgCjwcnk74HTYZl4/RShfbUSgKODcU6K2FiE0w7ek3d6mtqhwVOXaYXgRNAGyWn81TfKR6UOt4U2tQtvL1MPe0SAQm3DEZ9XzhLTVq2M2y6w3lgIrVtrzgX26ZaT+/lqSbL/mQIj+zzT+Nksarie2dXUHJ6MO4aieHEVMa3bCAtm9bxvTNrfSVhWcATh7N4yMe/YyOVloGfXirguQ0Zh4gs4J6JJO6bTHZ8Ue0kuml7pbWmYcG07baskpthssFxTibKedCPaVYqKAtO+U/YsQrpumnjrcUKXp4p4vX5smeHAgAHnYzjAx3MOKqGheemC3j2Qt4T6pxKh/DRo4PY76PAYsuw8PT5VU/zbTCi4CO3DCLjU1CmmhaevVjAYo1eo3cOx3DcBxkDl6Zu4sXZEpoGrQA8NOn/OWmvMigCrTJ0UnaACj03UdcsSAKtonR7U8YCpy7Tq8AJoLszV+RuKBbo6KQDANQ0A+8sV2ET2oNxyGeNJ4BO2700W/J6Ah6cSPqq/XJ2tY6fzZVACO2XePxgFjGfFh7DsvH8pYJnqpkISPjwkQFfLB9cbKdR9h/OrGC1QYUlE0EJP3dkAPeMJzrWA0MIwWyxiecu5vHSTNGzzQBomeue8QTun0zh2HBsxwYPew3NtPDmQgUvz5bwxnx5nbJ4KiTh4f1pPNrhHjfDsvHiTBE/Orfq9fONxgP4yNFB3DLg7/pysdDA98/l0NAtcAAenEzigQn/Jv8KTR0/ukD/DpHn8Mi+FKZS/gV9dc3Ei7NFLwv04GTS9+k529Fqqqi0Ofv24bivsgabsVJVkW/oXbEWuxoscOoyvQycAGqr4E7h7EuFOmq0CNCs0NlcDQS0z2F/yv9mwY0LxEOTSV/7KJZrKn58MY+WaUMWeDw2lfbFi85lttTE37+X84T57hyO4cRUGoqPYnSWTfDK5RJ+8B7t3wKAdEjCBw9lce94oqMZINumQwMvz5bwymzR+/0AaB/cSAx3jiRw52i848E848ZYqal4c6GCNxcqeHe5CsNauwVkwjLum0zi/skUDnTQ3gmgQdtLMyU8eyGPqnOdZMMyfv7oIO70uQzY0E08cyHvZZlSIQkfOTKIYR9dGC4WGnjB8YaLKiIeP5DxbRAFoBvKn82WoFk2IrKABydTvgc07bZbPAfcNhRDVOlsr117M/hYD3v7WODUZXodOLXL0gs8h6l0uOMWFvm6hnNOyWs0HsREIuh78NTQTbzkpKQVkccDE/7W8Ru6iWcu5r2szfGROO70aVIHoCn756YLOLVEbRXCsoDHD2Zx2GedJN2y8eKlIp45v7ZjjwdEnDiQwYP7kr4Ga5th23SxfWW2iFdmS16p0mU8EcRdo3HcMRrHkWxkx5b0diq6aePMSg1vLVbw1kIFS1V13fezERn3T6Zw32Sy4xNTAL3uXrhUxAvTBc8KKBGU8KHDWdzno5Yb4IpZVvHcdAGqaYMD1V572MfStm0TvLqw5lgwGgvgMZ83SfmGjlfnaAtDLCDiQR9bGFwIIbhYaCBX18ABODoY67gobnszeKftxK4HC5y6jPuC54slpJOJnhxDe7O4ItJm8U6PLbcLZI4nghj3WV0coBfWS5dLqGkmBJ7DvWMJ3/RPAKex+/Ka/cFYPIBH9/nbcD1XbuH753JeQLE/FcITB7O+L0q6aeNns0U8cyHvldFCkoBHplJ4/1Ta95T+ZtiuoOVCBW/Ol3HRUf51kQUeh7JhHB2M4uhgFAeykb7XW9ppqIaFc6t1nFmp4exKDRfz63WwBI7D4YEI7hqN467ROMY6sOnZjHLLwPMX83hphmZNAHqzfPxQBveM+zdF67Ja1/CD86ueWO1ARMHPH85i0MdJrbpu4tmLeeSczdftjs2Tn9my+UoLby5SOYBUUMJ9E0nfrxlCCKYLDaw44rNHshGkOyB70o5h0R5d0+5NM3g7mmlhfjmPg+NDLHDqFm7g9N7lJRwaG+zZyW9/I0YUARPJzr8RFystzJTWRnn9tmYB6N/16lzZE6a7Yzjmm+Kuy7l8HS/NUjmEkCTgxP60r2l807bxs8slvHK5BIvQ0eoHJ5K4Zzzpi2Hwut9l2Tg5X8aPz69l02SBw/GxBN4/5e/fdT2qqoHTi1W8tVjBqcXKur4ogL4OBzNh3DIYxcFsBAfS4b4Zw98JEEJQbOqYLjRxwQmWLhWasDYs66mQhDtH4rhzNI5jw7GOen5tZLbYxE8uFfDWQtU7rpFYAI8fyuCOkbjvGzzdsvHSbBEn5+k0oMRzeGR/Gsd9DmhmSk28MFOEbtmQBA6P7vNPCRyg5/ZCoYEzOZrZH44qOD7qfw9ju5UKABzKRDpub2ITgksFqoQvCzymMp3f6F/rWJbKTZQqFdy+f5QFTt3CDZxOX1rAaDaNZIcj9WvRMixcclKfqZCE4Q4rvAJ0R3TZCZ46pSprE4I3FyuYd6bJDmfCOJL1t3G00NTx7HTe69e5Y4hOw/A+XtDFpo4fnl/FZaemnwhIeOxAGgc7UCKxCcGpxSqeOb/qvW4A1WR6//5URyQlrgUhBAsVFWdWal42pNy6UgQyFZI8a5WpdBj7U2FEA/2hHdVLCCGoqCYuOUKglwpUCLSyIRgFaK/S0cEobnEye4Nd9vozLRtvLlbwk+niuknMqXQIjx/K+t70DTj2Lys1PH9prQR4KBPGBw9kfBWFNC0bL8+X8Z7TL5UJyXhsKu3r77AJwemlKmad124qFcJtg/7Ip7TjipouOROABzNhDEQ6u7EihGCu3EJNNSFwjg5hh1tLrkW+rqKhmWjWa7h13wgLnLpFe+AUjcYwEAsgKPVuoa+qBuZK9ILrxqQdAMyVm94CuS8ZwkgHgie3cbG9rHbXiL+7SMOy8fJcyfsd2bCMx6YyiPrYcE8IwZlcHc9O570FfiIRxAcOZHwtQ7b/vulCEy9cKuD0UtXT5EkGJTy0P4X7J5I9EbUkhGC5puHsSg3v5WhJabGiXmFaC9CerbFEEKPxIEYTQYzFAxhNBH1XSe4H3ABpvtzCQrmF+Yr7rKKuXRkk8RwwnghhKh3CLU6w1OmMwdUotwy8NFPES7NF1DX63hZ4DsdH43hkKu2bGvdG5h17JTdrkghI+MCBDA5m/JtoA+jG59npAsoqDfhvH4ri+Ii/WSDTtnFyvuL5SB4bjPpiXrwRQghmS02vlHkgHfa1jHk12ifoJtOhrrQQXI2GZiDvvM5BGBjMpFjg1C3cwOnSwgo4JQSB4zCcCPUs9Qisn7SbSAZ995jbjMulJuYrnQ2eADqxdmqpCgK627tnPOF7zX+62MCLs0XoFoEkcHhoIoUDPi9eumXj5cslvDpXhkUIOAC3D8fwSAcMOl1KLR0vXSrhpdmiF7QJPIfbh6K4fzKJQ9lIRyeprodqWJgpNjFdWLNWWb6KbxtAG+6zEQUDEeqeno3I3ufJkIygxPedwCQhBE3DQrGhI1fXsVrX1j1ydf2qyuccqKlve0ZuMhnq6Y7dsgneXaETlmdWal7gGw+IeGhfCg/sS/m68Winqhp4brrgTcu5CtrHRxO+lsAJITizWserc7TUHpR4PLov7Xt2XTUsvDxXQkU1IXDA8dFER0rrrm7SghM0TaXCXWnMLjV1LDrZ79F4AIke+Cy6GJaNpUoThADxoATe1FhzeDdxA6dSuYwGEWFaBAFJwEC0ey7lGyGEYLGiotwywHPAvnS441ochBBcLrew4ARPE4mQr/pF7eTqGl6dL8NyGgvvHUv4nn2oayaenV5r/JxKhfDghP9TahVn8X+vbfG/fyKJ46P+B4QuhmXjjYUKXpgurCvjJQIi7p1I4t6JREc88W4G1bCw4NiprGVhVKzWrx5QuUgCh3hAQiIoIR6QEAtKiAdEz16l/RGSBSgiD8ERuvQezucAPGFMm6xZr1g2gWbaaBnWukfTsWGptAxUVIM+t0xUVGNT0+J2OI4KM44mgl6mbcyxZellkNTOUlXFK5dLeG2u7E1zArQc98j+NG4f7lwpWDUsvDJXwmsLFe+1vGMohkf2+7/paOgmfjpTxLwTZIzHA3hkX9r39bTY1PGqo6UlCzzuH090xMB5Y3lufyqE4VjnWzraNQczEbkr2a2rQQjBcqUF3aLDVIOxIGq1Ggucukn7GGMgFMZypQUCGsUmQr27+diE4HKxiYZuQeA57E+HfR9h3Yhbv3YzT6OxQMea1CuqgVfmSmgZNi0HjMR93525vVVvORmuoMjjwckU9vncnA4A8+UWnrmY9yZbQpKAByaSuHOks9YmC5UWXp4t4bX5yrpMx1Q6hLvHErhjJNbTdPrVUA0LOS9TozvZGg3562Rt+gU3W0YzZLL3sZsx65cAqZ2qauCtxSpOzpXX9S5FFRH3jCdw30QSg9HOrXm6aeO1hTJenSt7k3nj8QA+cCDr++8lhOB8oYFX5krQLQKBA+4ZS+LWDvRntWfRo4qI+8YTHbnm3IZzd9OxPxXuyrBIy7AwU2jAJtQ8vFuTnFejUKdlb54DhuMhiALP5Ai6zcYXvK4ZKDhvzIFoAMEe3nQsm2CmQGUKJIEGT91QdV6otDDrNIwPRhVMdUAkE6BGlyfnyyg0aVaoE03jAM1wvTBTQNlpxN2fDOGBiWRHBOjO5Op4YabgNf1GFREPTiZxbLCzzdyGZeOd5RpeuVzCe7m6V3LhOeBwNoK7RtyJrO6r+t4Mmmmh0jJRdrI9VdVAuWWgqpo0K6RbaJnW2seGBc107FYIwfVWRp6Dl40KeJkr/opMVtzJdsWDYtvH0o6RYaipJk4tUcHM6UJz3fvitqEY7ptI4JaBaMffm28uVvCys1ECaAP8+/elcSDt/8asrpn46WzRK2W5vyvp88SnTQjeXq5ixulJHY4qeN9IvCNaZzYhOL9a99bKg5lIR3oqN6KZFp30dKoDE6lQT9sB6qqBQuPK+zMLnLrMZi94e0Q7FA/11ILCsGxcKjRgWAQBkce+Lmg8AVSde7qw1mR9sAP2LABdEN5dqWHaSQMPRhQcH437/pqbNs0+nV6mO8OAI8q5vwMZNeoVVfWMPAEqEvjwZAq3DHS+D6ncMvDafBlvLlQ8XzyABgpHBiK4cySGW4eifZmJ8gubENhuOc7pQeM56lPH81xPF/9OU1UNvLNcw5sLFVzYoMW1LxnEXaMJHB+Ld3yowLKpgOVLbddBMijh4X0p3NKBDRIhBO/l63h1rgzDJl6f0W0d8OVUTQsn58ooOpOlt2QjOOSzOK6LZRO8t0qnWDnQjVCndZqA3t17roZmWlh2qiHxoLyux4oFTl1msxecEILlagu6U68ejAd7utDqJn0DmzZByBEb68bxrNY1nM+v2Rwczvq/ALlcLrdwaokKxUVkAfeNd2ZaLN/Q8ZOZgidoOZkI4sHJFEId6CEzbRtvLlbx8mWqoA7Q1/H+8SSOdniX75Kra3hroYI3FirrGrU5APvTIdw6GMVtQ1EMRLo78s7wD1cq4t2VGt5Zrq0rwwFU4PZ9o3HcORLrSN/NRgzLxunlKl6dK3t2LDFFxIOTKRwb6swaUtNMvDBTwJLzHh8Iy3j//rSvbgUupZaBV+dKUE0bojN1ONShnh/TtnF2pYaqs5G/ZSCKRLDz59CyqVaT27O1Px3qqWuAZRMsVWjmKygJyG7oQWaBU5e52gtuOl37NgHCioh0uLc3lvY6c1QRMZ7sTp252NTxnuNtFw9IODIQ6VjPzsYF6c7hWEd0pSyb4K2lCt5aroIQ2tB9z2gChzs0laZbNl6fL+OVNiPWmCLi3vEEbh/qnqnuclXFm4sVnFqsXjHtlg5JuHUohqODEUyleqvNwrg+qmHhQr6BM7ka3l2uXaEHNRYP4M4Rqi7eLb9BzbTw5mIVJ+fL3kbBNbO9Yzjuu1gs4GR3V6p4c6kKyyYQeA73jMZxdMD/AI1KALTw9kq14xs8gK4bZ1aqtM+V43B0MNoVCQ/bMQRvOmbH+7tgA3YtCCFYraloGfR4huJXTr2zwKnLXOsFb+kmcs70QjIkI9aFSP9aNJzJBjeIGU10Z/Kv0jJwJkcXi5Ak4OhgtGMeaqpp4bX5MgpNJyOUDHasP6jQ1PHCTMH7XZmQjAcnk8h2KA2umbTXo/3GEpR43D2awF0jnXcxb6fY1PHucg3vrtRwPt+A1W7rwXPYlwziYDaCw5kwJpK9ledg0CzOTLGJ8/kGzq/WMVduoX24TxY4HM5GcOtQFLd26QbrUtdMvLZQxpuLVejW2sbgvokkjg1GO7YxWKyqeOnymkn1UFTBI5Opjvztbp+Wm9EacvqZOvW3NXULZ3JVaM4m8tbBWFf02tqHkngO2J8O+2phdTOUGhqqKi1TDsWDkDe597DAqctc7wWvtnSUnIa8XjeLA+sFMhNBCSPx7gRPdc3EmZUqDJtAFngcHexcj4ztiGWed4Qso4qIe8YSHdGTsQnB2Vwdry2WPaf5I9kI7h6NI9Ch4NCwbLy9XMOr8yVv0Zd4DseGYnjfaBzpLuujaKaFc6sNvLNcxbnVxhWK4IrAYyoTwlQ6jH3JEMYT/TNWv1tRDQuXS9QS6WK+gUvF5hUyCJmwjCNOsHQw053BkXZWaipeX6jgTK4G59JBJiTj3vFER0vRDd3EK3NlXHIGWAIij3vHEh1R8AeoftFrCxU0Dcsx0I3iQAe92SqqgfdyNZg27S06OhjryqbKJgTzpRZqTllwMhXqqr3PZrQPa2UiCsLK5kExC5y6zPVecEIICg0NjT5pFgdoBmje6WNIhSQMxboTPKmGhTO5GlqG5TUad7LenqtreGOhAs2yIXAcbh+OYjzemRJl07Dw6nwJFwt0MVZEHveOJjrW8AmsBYgvXy55vnQAzbIdH0lgKt39CRZCCPIN3ctsXMg3PLFNF56jfmX7UiFMpkLYlwwhFZJYj9RNYhOCfF3HTKmJmWITs6UmlqvaFSrsMUXEoWwYh5xG5G70K23EsgnO5et4faHiqVYD9P1w/3iyI1NyLrZN8E6uhjcWqf4TB+CWgQiOjyQ6ItVCCMHFQhNnnFaFkCTg7rGE79N57eSdvlICIKKIODrQuYxdO4QQzJdbqKomOAATqVBPHAna0QwLy1V6n4sFJSSvIQ/EAqcus5UXnBCClWrLS5tuVmPtNuWm7k1MpcIyhrrkZ2VaNs7maLMiB2Cqw1L/qmnh9YUK8k5gMRoP4M6hWMcaFZdrKl6cLXm2DOmQjPvGExju4N/oio++vlDBBWeSEaDqze8bieP24VjHsl/XwyYES1UVF/INXCo0MVNqXmH2C9CS40iMijyOxgIYiQcwFFV62lDaj+imjaWaisWK86jSZ1fXqJ1USMJkMoT9qRAOZcM9beBv6CbeWqrizcWKF0jzHM3OHh9NYKSDekKEEMxVWnh1vuxlaLNhGQ9NpjqWndVMG28slpGr03VnJBbAncOd60d0G/wvl+nGLRWScSgT6cp9hhCChXILFSdoGk+Geu4vaVo2listWGTzZvCNsMCpy2z1BbdsG0uVFiy798riLu0S+Omw3DUzUJsQXMjXvWBmLB7EeAdF0QghOJ9v4L3VurfzOz4aR6pDi6ZtE7zr7GwNpzwykQji3rFER6Z02im3DE82QXUayUWew5FsBLcPxTDWpdLs1SCEoNwyMFNq0exIsYmFigprk6WI54ABRxByoM1SJRuRd7UUAiEEDZ0KfOY2CHyu1vVN/fxEnsN4IkizeMkQ9qV67+VnO35op5aquOAMpgBU/PPO4TjuHO58302hqeOVuZLXWxQQedwzlsChDpXlAGClpuHNRZrp5jng2FAMkx1e36YLDU88dzgWwL4OCQ9v9rsXKioqTnl+PNkf77sVRxlcEngMbWGqnQVOXeZGXnDd0ZEgAKIBCak+sLUoNnQsVbsfPG1UGc+EZRxId3aHVGjqeH2h7InoHUxTwcxO/c6WYeGNxYoXsHEc1Wu5a7jzjdyGZePdXG1dtg2gfW23D0VxrEvNolvBtGys1DUstGVRFirqNdW/w7KATFhGMiQjGaS2KsmghGSIfhyShJ5vTK6GGxiVWgZKTQPllo5Siwp0FpsG8g3Ne49uRkQRMBILYDQedJ4DyEaUnmexXcotA28vV/H2Sg21NmPi4aiC46OJjl5zLnXdXJeBFTjgtsEY7hiKday/zrRsvJOrYdbpIY0qIu4ejXc0kDAtG+dW616Gu1sWKkB/Bk2EEOTrGpr6jbXGsMCpy9zICw7QybZ8vX8m7QCg0NCx7ARPqZCMoVj3UvorNRUXncUtLAs4MhDtaFnJ1YhxPdqiiojjI3HEO9h3UGoZeHW+5P1Oiedwx3AMt3ah/4AQgqWahlNLVZzN1bwMGAe6yB4bimEq1fu+u40QQlBWDSxV19uqrNY1T8H9Wgg8h4gsIKKIiMgiwoqAqCIiLAtQRAEBkYcs8giIPBSR+tTJAg+ep0KfvKMKznPwdqvUo84Rx3T86ixCoJsEmmVDM6n6uPtQDQt13UJdM9HQTdQ0Cw3NREO3Ns2wtcOBBrkD68yLZQzHAj2/OW2Gbto4X6jj7eUaLrfpQAVEHrcORnH7UKxrStWnlmt4d6XqNZzvT4Vwz2hnhkNc8g0dby5WvGnXqVSo41prTd3E2VwNqkkzW4cy0a5JR7T3NAHAWCLY0TV0q7gTdAAwGAtueaKPBU5d5kYDJwCotHSUnUm7bCSAUB/s/ItNHUvOjT0ZlDDcxZJO+xSIyHM4MhDteElrqarirSU6/uyq6R7KhDvaTL1YVfHqfMmTLwiIPG4fiuFoNtKVXh7dsvHeah2nl6qenQRAzXAPpSM4OhDB5A6QDtBMC6t1HYWmjrKTtXEzNqWWjrrW3z51LjFFRCLkZMqCEhJBGcmQhHRIRiYi970ti2HZmC42cTZHlfvbp/b2JYO4fSiGg5lwR70WXTTTxjsrVbyTq3nTrUMRBfeOJzomDwJQRwH37wdor977RuIdN8kuNHScz9dgEzq1estAFOEu3Ufap+c4AGN9kGkCgJpqoOjYqaQjCiJXmaDbDBY4dZmbCZwIISg2NNSdN95gLAilx1oXwPqG8XhQwmgXgyfVtPBeroaGTkd296VCGOpwH5hm2ji1tKatEg+IuGsk3tGgjRCC6WITbyxWPFXkoMjjjuEYjmQ7Jw66kWJTx9vLVZzJ1b3jAGgwdzgbwdFsBGOJ3ire3yyGZaOumV62p/3jhm7SbFBbZsjNFBmWDYvQHrXrLYwcAJ7nIHCALPBQ2jJX7iMgCggrAiKySDNf7R/Lwo5sfLds2rd0ZrWOC/k6dGvtlUoGJdw6QJXkO73xcdEtG++u1PD2StU7lmRQwt2j8Y5N0LoUmvq6ZvfJRBC3DUY7el43tjjEAiKOZLszOQfQoGmu1ERds5xG8CCifRA0NXUTqzX33rXeTmUrsMCpy9xM4ASsVzPtF5kCYL1UQSwgYrSLN0/LJrhYWGsaH4gomEp3NgtECMFCVcXpJaoxxQE40OHeJ8BpkC808OZixfPhCkkCDaC6NA0D0L9/sari7GodZ3N1r9QA0N3zgVQYBzNhTCZDfZ8B8RPbMfp1y3FrgRIHrq18txdQTQuXik06GVlsrpvgiykibhmI4JZsFAMRuWsbLbeH7+3lmnc8iYCE46PxjjZit/9ut5cpIPK4ayTe8VKkads4v1r37J6Go4Gu2WcB9FqYKzW9zW0/SA4ANAO94vQORxQRqZtw6WCBU5e52cAJWN/93y8yBQAVyZwvrb0Rx5PdC57cG/msI04XkUUcGYh0TGncRTUsnF6uetmnsEyDmE6m+QGa3ThfaODNpbWda0gScGwwiiPZSFeDadvZzZ7N1XEuX/em8gDa9zOZDOJgJowDqXBfLJiMzlFRDVwsNHAh38BcZb3KeEgScCRLS7sjXdKAc1FNC2dydbybq3n2Q67sRicMtzeyVFXXTaxOJIK4dTDa8U1Fy7Bw1tHA4wAcyIQxEOmchMNGTJsqgrsb/YlkqGulwWseV5vswHam1Vng1GW2EzgB62UKZJHHYKw/yiN1zcRlx54lKAmYSIU64hV1NcotHedW617f06FMpCuCfRsXxrF4ALcNxjoikNeOZROcz9fx1lIVDSfrIwscjg5EcetAtKt2Ku7xLFRauFBo4EKhcYWX2UBExr4kFa8cjQe6VmJkdAbdsjFfpkrjM6Wm14fnkg5JOJgO40A63PVgCaDr0dsrNZzL171eqpjiBExdyLo0DQtvL1WxXF/bWN05HOt4LxNAzdIvFuqwCS0LHxmIIHoD/TvbxbBszBab0EwqJDyZCiEo9761xLIJliu0t04SeAzFguBv8h7FAqcus93ACQAM08ZylRoC94vGE0DrxpeLTViEKmFPpLpbrlENC++t1rxMzEgsgIlk5xdJw7JxJlfHjJP1kgQOtw5EMdHhEgDglisbOLVc9XqPBI7DoUwYx4ZiiPVgl0cIQb6p40K+gYuFhpeVcxF5DuNxR0MoEUQm3L2SDePmsAlBrq5h1rFlWai00NauBA5ULPZgOoyD6d6ojANAqaXj1HIV08Um3LtVKijhjuEY9nVhLbCdnsT3cnWvZHswHcbhLkgqWDbBpWIDOSdYiwVEHM5Eu2pXpBoWZp3Gf5GnQVOvvecAmqlfqdJqjcBzGIoFt9VbxgKnLuNH4ARQefiVKi2PhWQBmUh/BE+9vnBsQjBTbGK5tiYfcDjb+dIdQAVC31paC2DiARG3D8U6JpzZju2ogZ9arno9XxyoncrRgSiGeqwC7d5wZ5yeh3YCIo9RR2doLB7AUDTQFyXovYxhUcXx+YqKhUoLi1V1XWM3QDM4+xwLnMnE1ke5/YYQgvmKindztXXTn8NRBXcMxbqW8crVNby9XPV6EN2ArRsTZE3dxLnVtZ7DTosEb0bD2TjbPdo4Xw3qxKFCMy3wHIeheHDbLQ0scOoyfgVOANDSTeScAOFmm9w6QXuqtlf17UJDw4V8AxahAdzBTKRrAcylYhPvra6VCEZjAdw62J3yGSEEyzUNp5bXSwgkgxKODkRwINV9c9aNx5dv6pgpNp3MheppRbmIPIehqIKRGA2ihqIKYorYF+/t3Yirzr5c17Bc07BQaWGlrmHDaYEs8BhPUJXp/ckQEsHe+gVqpo3z+TrOrNbXCWe60gad7jd0qWsm3lmpeUrcssDj6ECkKxlnAMjVVUw7SuuSwOFwJtp1jaT2PtdetGpcjfahKo5zJtJ92ESzwKnL+Bk4AesFMmMBCYlQf5Q9LKc50HX4Hu2B4NnG0t1wLIDJLqTrAdqUejZX98T93PLZgXS4a9mUYlPHmdU6LhYaXhAnC7T/62g20hdaKpZNS0DzlRbNblRbm6pgB0Ueg04QNRhVkA0rSARYMHWj2ISg1DKw6gRJK3UNKzVtU++6iCxgLB7EaDyAsTgtqfZDP2WxqeNMro6Lxd6+rw3Lxrl8A9OFBlX6BxXP7NaQhmVT65TVhiuPIuFQNtL1LE+7m0RUETHWxeGga0EIQaGuoaFTGZ+BGxC4vB4scOoyfgdOAFBXDRTci+cmNCk6RbvwGQAMRhWku9zPYhOC2WITS05mLiwLOJSJINQl77Jyy8Dp5ao3EhyShK5PF2mmjQuF+hUaTMNRBYczVMSyH3aHgKNZ1jKwUGlhqUZv6quNK7MfAM1MpUMyMmHn4XwcZdkp2ISgqprIN3Tkmxp9bugoNnVYV3kts2HZy/CNxYOI91Fgalg2LhWbOJevI9dmCeRqQXVTzb59mtQNOAcicldtiWqqgfNtk6zjiSDGOqxDtRFCCFZqGgrO+UgEJYz02NvSpV37EACy0YCvaz4LnLpMJwInAKi2dJQcdfFESEa8D6xZAKd0VFVRdKZuEo7KeLd3JMWmjgvOhA3t/QlhuEvBi6v99O5KzVvoEgEJtw5GujJl034c81UVZ3I1z84FoKWFg+kQDmUiHXN/3w6mTZBvOBmSmoblOl2sr2ZDInAcEkEJiaCIREBCMijTzwNUTLIf9M/8QLds1DQTlZaBstquhm6gohqbBpsAtfDJOD6TQ5EA3dCE5L7rKyOEYLWh41y+vk5p3L1+bx2IYLCLvXuEECzXNZxZqXl9TGFZwLHBGAaj3bmObce6xBW0lAUeh7KRrgmIulg2wUJ5bVM8EFGQ6aIu17UghKDU1FFzrFQyEQVhn6cKWeDUZToVOAFApamj3KLBU7/42gFO9N/UsVylWbGQLGA8Gez6SLruZF7KTvYnpog4mI101OuuHdO2cbHQxIVCA5ZzE8iGZdw62D3lZJeaZuJ8vo7zhca6Zu10SMbhTBj7k/0xDXM1bKcvh2ZUdC+jUmrpVw0YXAIij4giIiqLiDoK3SFZRFDkEZSEtgff9feoYdloGRZaJn1WDQtNw0JTt1DTqap5TbNQ00zom5TX2hE46iW5lpFTkAnLfZVJ2oymbuJisYnz+fo6n8GYIuJwJoKD6TBCXR5vLzR1vLtS8zLHtJco0hVpA5emTq9Z93rNhmXsT4W7riivWzbmik2oJrWfGkkEkegD3zngyqApHVYQ6cDaygKnLtPJwAmgNiiVPgyeAJpeni+3HH0RDhOpUFem3dohhGClrmGmSJspBY7D/lQI2S7uXFXTwvnVBmZKTc+qYzQewC3ZCMJdKiG62I6A6Lk87cdygw6OA0ajAUylw5hMbH8KpVu4JaqSk4Upt3nSVVXzikb06yHxHGSRh8TzkAQOssBDEnjIAgeR5z1TX1cd3P2cgL7XbLKmKm4Tqipu2gSGZUO33GcbhkWgW/Y6/7atIAscYgHHu859drzsIorYF70mW0E1LcyUWpguNrDcJl8h8Bz2J0M4nAl3NbvkUlUNnMnVvcZvgQOmHMmFbl0ThBAsOSK/BLSsOpUOdzVb7dLUTcyVWt7U9Hgy2LW2h+tBCEG5qXumvamw0jF7FxY4dZlOB04AUG5qqDg7o34LnlTDwuVSE4ZFwHPAeLI3Mvwtw8KF/No0TjIo4UA60lXNk4Zu4myu7k2/ufIBhzKRrgtYAvQ1uVho4GKxsU7QUOA4jCcCmEqFMRYP9k0/1I1CCIHm+NLVNBN1J3NT002a5TEstAzb+7hXix3P0cmkoEizXm4GLKq4GTKaLYsoYseFVjuJYdm4XKbB0nxVRfvdZSAs42A6jKlUuKvXpEtdM3EuX/dK2hyo6veRbKSrmdiWYeFifq03MRGUcLDL65RLpWVgoUwn5/pJbgBwJ0N1VFudD5oAFjh1nW4EThvfRP0WPJmWjblSy9Mc6UXTOOD0HlVUzJXpTk7gOOxLhTDQ5Z1tuWXg3Vxtnf7ShBNAhXpULnMtNKaLzXUN5SLPYSwexGQiiPF4sCcLeDdwg6yWYbdlhdYyQ4ZFYNo2bLI+s+Q+cxzAYS0DxXMA5zxLAs1eSQIPmW/7WOARlOhzP5fStoNqWLhcaWG2RLWh2vvUUkEJU6kwpnroaVZzAqaFyno9qFsGooh28ZhcK6m5MtVF4jlgX6o3WTdCCHI1zVufogr1JO2Xnrhe3O9Y4NRluhE4AVemLfsteLIJwVJF9fqN4gERI/Gbl8DfDg3dxIW23oF4QMKBdLjrPT75hob3VhsoNNsCqAT1e+t2Cc+FEIJC08B0kRq2NtpMfXnOMQ5NBDGRCHW974SxM6hpJi6Xm5gtUX2o9ptIVBExlQphKhVGsod9MlXVwPl8Y5322WBEweFspOvH1dBNXMzXvQb0Xq1HAB3MWCi3vOm0tDNU0C+Bfa/ucyxw6jLdCpyAKyPxeFBGvMeide1sbBpXRB7jyVBPyg+b7fDGEiGMxLo/AZhvUN+9fFsANZYI4mA63NVd70Zc8crZUguXy811jbsAkAnJnuZPtk80fxjdx7JpH+FCpYX5quo1VLukQxImEyFMJIJI9ng9KrcMXCg0sNgWMA05AVO3G54tm2C+0sRiRe1pBtylZViYc9oq+q0JHLhScqCbyQEWOHWZbgZOAH1zVVuGN23XTyKZLg3NxHyZNhzyHBXL7JU4o+r0+VTUNd2lA5lwV00yXQpNGkCttunWDEYUHEyHkQr1PgCuqAZmSy3MlpvrjhGgTcsjMWqhMhbzV0OF0X/UNBPzlRYWqioWq+q6JncO9H07mQxiMtG7MpwLIQS5uo4LhbXsLuDomvVgtB+gAdx0YU2XKRWSe9bfBVD7qCUngJMEDuPJUE/6Lq8GIQSFhoaGEzR1uqdpIyxw6jLdDpy839um89RP9iwuhtP31HJKQZmI3LOdFiEEq3UNM6U17ZiBiILJZPdE9topNuki3z5tlAhIOJgJY7hP0uZN3cJClWYYFivqFUrUMUXEUFTBsCOw2KvSI2P7EEJQ0y0s11Qs1zQs11SvrOQSFHnPe3AkFuia5Me1sGyChWoLFwtNbyik3Zy4F5s1zbQwU2x6AZwscJhKd8ceajNsR3ev5AyHRBQRY33UzwQ4me+6iqbu3iv812m6Hns6cDp//jw+9alPQZZlPPvss9f9eUII/u2//bf49re/DVEUcfjwYfz5n/854vH4ln9nrwIngMoBFB2F8bAiIt1nwZNNCFaqGorOIhKWBYwltudivR10y8ZsseFlU0Sew0Qi1LMaf10zcbHYwFybbEBIEjCVCmG8jyQDbEKQb+heBmJjNgqgvS1DUQVDEWqf0u/aQnsZVzNrtaHTYKmuXWHUzHHAYFjxSrWpPmoJ0Ewbl8tNTDv+mQC9licTQUylwz3JpLgyIPNOawAADEUDmOiBvp2LbtqYLzc9y6NsREG2T0QtXWxCkHe85wD/FcG3yp4NnL7xjW/gv//3/w5BECCK4pYCpy996Uv4yle+gldeeQWhUAj/+B//YxQKBfzt3/7tln9vLwMnAGhoBvL1NSHKTKQ/JPLbKbcMLFZaIMSZ4koEu24S3E5VNTBdaHhTgGFZwFQq3NXUcDuaaeGSY5LrOtYLHIexRAD7k6G+8KBrRzNtrNQ1L0NRaOpXjPrLAodsWEE2LNPniNwXWYq9SFO3sNrQsNrQkWvQaaqN+lI8B2TCNPAdjioYiCh9E7i7lFo6LhWbWKyqXnASEHlMpcKYTPZuo1Fu6bhUaKDlBHFRRcRUuncDIABd4xacDZnAAaOJEKKB/soK2zZBrqZCM6n/aTYaQLBHr9meDZy+973v4YknnsA/+2f/DDMzM9cNnCzLwvDwML7whS/gX/yLfwEAePfdd3Hbbbfh9OnTOHbs2JZ+b68DJ4CKmK063m2KyGMg2ptptmuhGhbmyy1vh5iNyF0VqdwIIQTLNRWXSy1vhDobpuW7XvUhmDb1zLpUbKwrlaRDEvanwhiKKn3ZoK1ba4FUrk6Vv61NhB8jsoB0SEYqJCMdkpAKyQhLQt8F+jsVt+RWbOooNKmPXbFprJucdHG97AYitNw6EJZ7lgm+FrQcp2Km2ERZXWtKjwdE7E+FMdYDuycX1bAwU2p49lMSz2EyFUa2B1IsLhtLc0GJZvn7TWbEtG3kqioMywbHAQNR/wx7b4YbuY/3V/i5TT7ykY/c0M+fOnUKq6uruPfee72vHT16FOFwGE8//fSWA6d+ICSLGIgFsFpToZk2lqstDEQDfbUQBiQBU+kwlqpUsmC1rqOhWRjt0UXNcRyGY0Gkwwoul5rI1an5bKGpYSQWxGi8+30AIk9Vz/clgyg06e6aZnQMFJplBEQeE4kgxhPBvuopkgUe43GqAwXQnWSxZXhZjtWGhopqoq5bqOstzJZb3r9VRB4pRxk7HqBq2fGAhKC0e7WPtgshBA3DcjztTFQcRfVCS4exmeMvqCBsNixjwMn+xQNSXwbhLq7kwVy55WVheQ4YidEsbKKHpUPDsjFfaWG5qnqZ1uFYAOOJ3pXlgCs3p+mwjIE+3GwZlo2VaguWTcBzHAZiga47TmyH/ll5e8D09DQAYGhoyPsax3EYHBz0vreTCEoihmJBL4qnwVN/7TR4nsNoIoiIImKxQgUzL+brGI0HEevRWKws8DiYiWAwqmCm2PSmiVbqKiYSvRkd5jgOmbCCTFhBy7AwU6KaOapp41y+gXP5BjJhGROJIIajgb5q9AToeXb91I46X9NMey0T0jJQaOooqwY008ZSTcNSW6M8QCd/3EAqIgvrFLZDstB3NwO/sW2CumGhrjl+djpVR6+oBiqqeVUrF56jQZKb2Us5H/db2W0zDMvGYlXF5XJrneRBUOKxL0nlDnp5g7Udq5T5SsvLqCaCEvYlQz2dMiWEoNQysOzKHjjtEL2edtwMzbCQq9ESoshzGIj1Ty/nVum/V7WLNJtNAICirPcHUhTF+95maJoGTVtb5KvVamcO8CaQRQFD8SBWqlQKYKXaRLbHKdDNiAclBCXBa1ycK7eQ0EwMxXoXBEQVCceGYig2dcyWqOHlRUcPZl8Pd7hBScDRgSgOZyJYrqmYLbc8A9x8Q4fIVzEWD2A8EUKijxuyFZHHcCyA4VjA+5pp0yblYktflz2paSYMi3h/40Y4DghLAiKyiKAsICTRR7DtOSDyUES+7wIsy6ZK5apJjX6bji1M07GFaRoW6rqJpn5tixiOA+KKiLiToUsEJaQcf7t+K9NfC6r9ZuByuYnFquaVzV3Jg/FkEIOR3mZN6Ki8jtnyWjN6SBKwLxVCoscixKZtY6miouposIVlAaN9NFjSTlM3ka/R4E52Wkr6bdO3Ffo+cPr85z+PL3zhC9f8mVdffRX33HPPDf+/Q6EQAKwLgtzP3e9txp/8yZ9c95h6iSjwGIqHsFqjKdtctYVMJIBQn+0+ZJHH/nTYk/4vtww0dBNjid6ZTHIch3RYQTIkY7mmYr5M5RTO5GqIByRMJIM90X8C6C5yNE5LiE3dxFxFxWUn8JwptTBTatGpxXgQo7FAX+42NyK2ZabasWyCqmag3DJR1WggVded7ItuwiZwyn5X9u5sRBI4KAINohRBcAx+OYjuQ+C9jwWeowa/gGfyy2G9yS/BepNfAhoAWo7Rr2mTtocNzXQeFn2+EdNfgaPj4xHZ8bSTRcQDIhJBCVFZ3FEBUjuEEFQ1EwsVFQvVljf1BdA+uIlECGOJ/pA8KLcMXC41UddpYCILHMZ7lIneSE01sFhZ09jqldXVVmifAA9KAjLR3vWmbZe+bw6v1+uo1+vX/JlMJgNRXLtJ/PZv//aWmsPfeOMNHD9+fF3gRQhBNBrFv/t3/w7/6l/9q03/3WYZp/Hx8Z42h2/GxjHPZEhGNNA/I8XtNDQTC5WW15+RCcvI9kFt3nR6GZbaehmSQQkTyVBf9BgRRybgcrmFpdrapBFAm2dHnSCqn4TutotNCFoGNfNt6GtZmo3P+lV6ffoFReDXMmQyvy5rFpFpkLTb+rwaOg2W5iutdUGvyHMYiQX6QnncparSLJibyeE5YDQexEis91kSyyZYqa01gCsij9FEsC+v841uF/2oOQjssubwSCSCSCTSkf/3HXfcgWw2i5MnT3qB09mzZ9FoNPDEE09c9d8pinJFea8f4TkO2WjAk7AvNXUYlt2Xb9qwIuJAJoJlp3E839BR08yeLwaiwGNfKoyhaABzlRZW6xpKLQOlVgXpkIzxHvu5cRznaLMotK+tpmGh2sJqXUdFNVFRa3h3pYZ0SKJClbFAz0yG/YLnOIRl8bqBq00I9LZMj2bZ3uemY+hruJki24blZInaM0nex8T93fQ1p4a/TkaKg5OxWstceZ+vy3Y5zyIPSei/EmKnqGsmlmoqlqrauqk4nqOluNE4LcX1OhhxqTtN6a7nJgdgMEq1rPqhX3TjJrNfG8ABeu0U2oQt40EJ8WB/ZsRuhL7PON0MV8s4ra6u4vjx4/jLv/xLfPSjHwVAdZy++tWv4uWXX0YoFMI/+Sf/BLlcDk899dSWf18/yBFcC0IIaqrhqYwHRJom7ZeFaiNVJ/3sNl/2k2hbU7cwV26us3XIhhWMJ/qrj0wzbdrEWm15o9IuiYBIe42iO6Ocx9hZuGW4paqKpZrmKXq7ZMMyRuNBDEf7SyeqoZuYK7c8sV6AuguMJYJ9UTLcKCYsCbR030s9vGthWjZWayp0x3EgHVEQ6VGbw1bYVRmnG+Gpp57Cl770JZw9exaqquKxxx7Db/7mb+Izn/kMAMC2bbRaLRjG2o3kc5/7HOr1Oh5++GFIkoRDhw7h61//eq/+hI7AcRxiQarRkq+pUE0Ly5Vm304zxAISQpKApSpteFyta6iqBkbjQQR7mN0BqMDokYEoXWRLzbaRew0Z54bQDyU8ReSxLxXCvlQITcNybmIqik3agF1W6ziTqyMiCxiKBjAYUZAM9fd4OqN/sWyCQlNHrq5huaZ5wrIAzdhkwrKT8VT6Ighpp6YamK+sn+LLhmWMJfrHy62umVhsyzIlgxIGezhIcz0008JqVYVFqFdpPw4obYddmXHqNv2ecWpHNy3kaqqjnwFkogEEpd7f6DeDEIKqamKponqTNmlHsK9fmmJrmoG5cstL6wN0URuN987U+FqopoWVmoYlxzal/eJvF0QciCh9c9Ng9CcN3USurlHB04buXaMAbWrPOsKag1EFcp9t0AghqDgBk9vDBMApv/duOGUjdDJa9dYXkecwEg/0zOFgKzQ0E4W6aybMIxsN9OUGfSN7Vjm8V+ykwAkALNv2hDKB7rtQ3yimZWO5qqHi9EdIAoeReH9plNSdvoP2El5Moc3ZvRTquxaGo/a9UtewWteuaKaOKiKyzsTbTtEBYnQO3bSRb9IgabVxpbddQOS9oHsgIvdUCPJqEEIzYwuVlnf8HGiQNxrvn+Zqb9NYXWtZSIUkDPRxiwUhBJWWgUqLroFBidp/9csm93qwwKnL7LTACXAWkLqGhjNi26+TDu3UVANLVdVLV8eDEoaiSl+po7cMCwtOE7l7YYUkASPxADLh/mzgBJzJF9XNIGjryhYuiYDkBVKpkNy3CzjDH0zLRqGpY7VBLXTaMzMADThSIRkDEZqljCn9qyFm2QS5uoalKhWRBZzm9GgAI32mWq1bVJep7vSGKSKPkXhvjG+3ysYm8GhAQjLUH32pW4UFTl1mJwZOgLurMVB2siSyyCMb6S+blo1YNkGuttYgKXAcBqK0P6efLlLNtLBYVbHSJhEgCZxTuuj/1LVu2lh1zGDzTf2K7ALPAfGAhFRIQiooIxmS+q53hXFjtAzqcVdsGSg6gdLGm0NUEanuVogG0DvhfbxUo9ehq3Uk8PQ6HI7113VoE4JiQ8dqXYNNnN6wiIxMj8U/r4dh2cjVWjCdDW2/VzCuBgucusxODZxcWrqJfJ3e4KmEgYJAn/Y9uTR1C0uVtd1jQKKq1P22KzMtG8t1DcvV9X5b2YiCkVj/lAauR9OwHBVvGky5r3s7YVlAMkgDqXhQQkwRWVaqTzFtG1XVRFk1UGpS5fZ2EUqXkCSslWvD8o4Jjhu6icWKinxjLfMbEHkMx4IY6CPpA5e6Rns53Qk0N0ut9Pn60NRM5BsqCKEBaTbS/8d8NVjg1GV2euAE0F3Dao163AH9LZbpQq0adORqmpfVSQQlDPZZ+Q5wUtkNHYvV1rrsTTxAy43JkNzXu8p2CCFoGhaKzg232DSuGDkH6I45qlCVa+o5JyIakCD22U1rt2NaNiqa6VjaUJ+7q52vWED0/O1SIXnHBPbA2mTfSk1d9/fFFBHDsSBSfZaVBmhZbqW6Zpci8hwGowrifdoX6UIIQbmpo6quCXBmowEIfdjXtlVY4NRldkPgBDip4ra+p5AsIt3naWKA3hhWapo3ecJzwEA00JcLpdv0uVhdP/4sCRwGI3QCqZ/6LbaKYdkoOSWeUstARTWuqtwdkqhhb0wREQ2sWYn0WxZgp2HaNuqahapmoubY1NQ0c9NMEkBvdgnX4y4kIRmU+rKh+3q0DAvLNRWrdc0rx3GgE7jDsSCifTRE4kJ7gvR1vZCpEBWy7PfrwLIJ8nUVqrFz+5k2gwVOXWa3BE4AvbHXNQPFxprIWiYSgLwDbuZNnaa73TKSIvIY6mPPNtWwsFLXkKupMNq8UpJBCYPRQN9YT9wMhBC0THsty+EY+LqliM0ISQLCsvsQEXGeQ7LQ98F7t7Bs4pkANzQLDZ3azjR0E61NyqcuAZH3jIDjARGJgLSjdXVsm6DY0rFcU9c1rSsCj8GogoFIoC9UvjdCCEFNM7FSVb2NRUgWMBwL7IjzoRkWVut00o8DFbUM97Go5Y3AAqcus5sCJxfVsJCvUf0kDkAyrCDSx1MzLoQQlJrGuqbsiCJiKNa/mRzbKTmu1NYkFwAatGbD9CbQS1sXP9FMy8uEVDUTNadsZFzH+DYoUl839+F6ugWkNTuTfn9vXg/PIsa00TJdzz0bLcd/r2VYm/aWtSMLPM3ktT8CYt/pKN0MhBA0dAu5uoZ8Q1tnlpwMShiKBvpW+gNwMmPVtckzkecwGAsgHtgZ62r7IJHIUzuvnbCh3ioscOoyuzFwAqjeU76ueSnZkCwiHe4f8clrYdo2Vmv6OvuEVEhCNqr0dTmiZVhYqanI1dffGKKKiIEIdT7v5+O/GQgh0Czby5w0NCej4ny+Va/ejX5wskA94WSB+sbJAgfJ+ZrAcRB4DgJPJzP9unERQmAR6n/net8ZNoFh2TAs59n5XLdsqE6gpJn2NbNx7Yg8h7BMjYDd7Jz7rPRhlmW7GBad8MxtUCSXBaob1e/lbcNpJai0ed+lIzIy4f4vywE7+z5wI7DAqcvs1sAJ2HynkYn2l+7JtdBMCyvVNb8sd6ItFe7vZmzbyZzl6uq6Xiieo70QmbCCRHD3W6QQQqCZNppe1sV2MjFrGZitBhzXgudoAMXznGfeC8Az83UDK9Jm/ktAnGdaOrIIwXUSZ1tCFngEJX5dZm0t00YDwn7PUGwXyyYotegUZ6lpeH1ArnbUYFRBvM+HVyyboNDQkK+vKfTHneGVfpJBuBYtw0Shpu24ysPNwAKnLrObAycX1bCQr6+p2O6Eqbt2GpqJ5epa/5MkcMhGlL5O7bu4mkq5uoZW245b4DmkHT2dfr+JdJL2Epdq2tAsC5q5luHR27I8hkVg2jbNCHV45aNZLWo7IfE8JC/jxUHiaQDkZse8xx4Iiq6GTQjKLQP5BtVpaw9Cw7KAgUhgR2hH0U2PjtW67q2XIccTstdem1uFqoDrXpZMEnhkIsquKs1thAVOXWYvBE6As4Oqq97NOygJSEeUHTOCSpyFOVdbK4PJAo+BqILYDukzqOump6dktN35RZ5DOiwjHaJ/y27PRPkBLavBCaJoac0mThZpQ2bJFSSkGSiOPrd97JX+nGeeQ9+/n/oB2yYoq3Qas7DB704ReWTCCjJhuS+Ms68HIQSlloHVDevLYFRBdAesLy6GZaNQX7Pkiigikn3seuAXLHDqMnslcAKcqRDVQMkp3fEch3RE6TvhyWvhKvTmG2s7woBIA6idkoYmhKCqmcg3NBQa+rp+KJHnkAxSwcJ4QNoRfRSMvYNbhis0dJRa6zNLssAh7QRLEXnnXIsV1cRqTfPKxiJPHQ12QkbbhRCChmai2NRACN0YpMO7Z2ruelQqFSQSCRY4dQs3cMoXikinkr0+nK6gmxbydc0TzNyJuxLag6Cj0FgT0AxKArIRBRFF2DELnu04vRcatBm+PYjiOSAZpN5yiaDU92UOxu5Et2yUmvT9WW4Z66xcZIFHKiQhHe5vv7uNuJpsq3XNy85Q9Wx5RwnaAu5aqKLlTPwpIo90pL8saTqJbprI5YsYHx7cUuC0c9IEO4BaS0PUtHZ1HdhFFgUMx4OeemxdM6EaFtKRnaFHAtBFbiBKG8ULdZq5aRkWLpeaCEg8shEF0R2wkPMczTAlg7KXiSo2dBSaOnTHqLXgZAijiohkUEIyKCMk75zgkLGzcMvKpaaBUutKr8OAyCMdkpHaQZklFzfDlG8LmHgOyITpWrLTMrxN3UShrsF2ciiJkIzYHuqZVA0TDVWHeQNDJizj5ANuxunS/BKisRgiARlKn3u9+cnGxvFYQEJiByrJGpbtZW3cqyIg0qbIndADtRFX96bQpJNJ7aPcAC2LJIKyZ4myV3aXjM6gmzYqqoFyi6rHmxtGDMOyQO1cQjJC0s4L2t0eyXxd90pyPEcVytM7RFqgHZsQlBoa6s7E8V5oAN9ISzfQ1GgDvNZsYHRogJXquoUbOC0s56CEwgCAkCIhKO+N2jDgKPk2NTS8i5BDOrwzDR/NtgDKXfsVJ4DaCWJ1V0MzLZRatD+tohpXjM6HJAFxJ4iKBcRdpxfF8BfDslFVqb1ORTXXTXwCtGE+EaRWLomg3JdK3lvBm/arrw1kCBwdxtiJGSaAGrsXGpq32d0ttilbhRCCpmZANej9KiCJMLUW63HqJm7gVC6XISrBtZMhiwjJeyflCVyZ9o0FJMR3WL3fxbQJik7ztRtkSAKHVIj2MOzEBdPFtgmqmoFSk974NmajACAii4gFREQVGkixjNTeRjdtVDUDNdVEVTOuKL8BNKsUd27CUWVnT3eato1Sw0ChuTZEIvAcMuGde/1v3OCKPB3uCeyhCgkhBA1Vh2Y6gp5OkoNN1XWZ9hc8Go1C1U00ddc1WkA4sHciecCZmmmsmQXTi3Pn9D5txLKJ1zPkLqCuEGVqB+jKbAXdzR44Br2bWXsEJcEx5pUQU6hK9V56X+8lCCFQTfqeqDqBknaV90Q8IDkPEeJuuBZMG4WGhlLL8Er2NIO+85q+22nqJop1zZN8iDotFTv177kZCCGotdaGmsIB2QsaWeDUZTZ7wVXdRENzjXJ5RII7a+LMD5q6iWJbOjiiiEiGdq5Uv5uyL7T1OHCgasDpsLxjA8PN0EwLFdVETTVQ1a4swwCAxHOIKCJ9yPR5NwSRexHdtFHXTdQ156GbV/QoATSjFFVo4BwLSDu2/LYZLd1CvqGtMw0OiDzSO7xEb9k2ig0dzV2ykb1ZbJug2tJg2XTtjgZkyG2ZNhY4dZmrveC6aaHW0gDQFG80uHPEIv3CtglKzbUGRIHnkAwpO3qiy3U4z9f1dQFFWBaQCss7YhLvRjEsmxrzOhmIhm5is4VDEXnPQy3kPO8Fi5Cdgmth03C8AJuGibpmbWpbwwGOSbDkZBp3X9+bTQiqLQPFpnHFtZyJKAjv8HWqrpkoN9fkVnZy68R2MC0btRZtIeE4IBpUIAnrA0cWOHWZa73gpmWj2tJAnBMWCwZ2RTr7RlEN2vvk7mIDkoBUeOd4Nl2Npk4DKNcLD6CZmGRYRjIo7dpzbdsEDWMtQ1HTzE3LewANlsMSDaRCsuO7JgqQBP/MdRnrIYRAt+w2bz8TTcc0+Wp+eiFJWJc9DMnCrr3BGpaNYlNHqWl4GXEOQCwoIbMLsse6aaHYWJNLkASaOdspHqN+YjgJDAIq3RILbZ7AYIFTl7neC27ZNNr1JhiCMmRx7zTjudDdnb7OJTwWlBHfQeq6V0O3bJQadAx740KcCkkI7sDx6xvFtGi5p+HcoJs6NeK92gIjcFybgS2PgCRAEXkERAEiz4Kq60EIgWERaCY1O1ZN1wiZPq4WIHGg3mkhWURYEhB2gqWd2Ox8I7jyHKWmvq4cJ/LuwMfO3+jYhKDc1FFT19bYxA7zFfUTV6MJAESBR/QaLTMscOoyW3nBbUJQb2tK22tyBe0Ylo1iQ4PqpMZFnkMqrCC4g2xbroab+i80dajGWgZGEXkkQxLiQRniLr9BtWMTgpZh0bKQbqLp3NQ3azRuh+eAgLgWSMmOAa4sUnNcWeR3bTbExbZp1kizbGpibNnQnSBJM21o5tWDI5eAyCMoCQhJa6XTgLR7M0mbYVg2yo4MR7u/Y0gWkA7JO8pH7moQQtDULZSa2jpj4WRI2fHB4M1ACEFLN9By+rpkUUDkOkNaLHDqMlt9wakXkA7NCRgUSURY2Zs7AXqhmyi1GXuGZBHJkLwrLnTiBAzFpoFqm8WEm4VKhqQdKQLoF7ZN0HIyJKoTTKlOMKBbW1uSJIGDLPCQeB6SwEESeEgCD5HnvGeRp6a7Is/31HiXEGoUbNo2TJsaCps2gWHZMCwCw7bXPrZs6Ja9aXP2ZsgCj4DIQ5HWyqBBSUBA2v3B5dVws0vFpo5aW3aJ5+gwRyq088txLrt5I3ozEEJQV3XojtxAUBYR3IIs0I0ETnvzle0RHMchrMgQOCpXoBkmLNu+Zvpwt0JfCwlBSUS5RVPLTd1ESzcRC8qIBaUd/ZpwHOf09IiwYgFvx6uZNh35bxmQBR6JkLQnPeR4nkNYFjd1vbdtAs2yoTqZKdWkzctrWRcbBHCCDAvAlRN/V8MNpHiOA8/RciHPceB5OF+j7zkO1OQU4MBx9HMC+h8CgDgfEOfrhBDYNg2ObEJgkbaPnSDppl4nDl6Gzc24KaJAAyUnI7eTrxO/0UwLlZaBcstYl10KSgLN+AakHTvVuxHbJt7a6RIPSogF917zt8vGtph2uQE/YRknH7iRSNVFN03UWrT2ynN04m43ZFpulo3NjHT6TkZoh/lYXQuahbI95e72Ky8sU9XuWEDa9b0m24UQGohoppulsWFskr1pz+z0CxzgZMBoAOdmyaQNH7slSdbrdX1M20a1ZaLcWj8Zx3NAIkh7l3ZLdglon5bTPaHhoCQguQuGbbaDYVqoqRoIoZueaECBdAPN8CzjtAOQRRHxEO+NSFaa6p7zuGtHFgUMxoLr6vT5ugZFNJAK7w7/JJqFEhCSgxiyA6iqdGdMp53oY6miIhYQEQ9KCO9w5eVOwXGcV5rbCu1lMssJpiwnG2S3ZYbcjJGTT/ICWwLifUyzT1zbxwBAs1d8WyaL5zgnmwWvVEgzXb0rF+4mbEJQV2mwVNfWS2NEFAGJIO1d2m3Xj2pYKDU0Tz5CEqi8y14ty7m06yZ2Q/pnb7/aPUYUeMTDAa9pvK7qsGx7S/XY3Qgt34kIygKqLQPVFi1tLVVaCCsiEsHd0f8ErGXUkiGZmqM65QXdslFRTVRUEwJH1X1jAQkRZe/2Q20XjuMgcIDA7/zgey9jO5mWastATVsvqxAQeeqzuEvL3oZlo9zU0HRsbjgnm7ZXp+VcaN8wbXsBttYE7gcscOoxbpnONRxsOYq9kcDerVPzHIdESEZEEVFqUsXbhmaiqZmIBiXEA/Ku6VMAAFnkkY0qyERktAwblRYdlzZtqlRebhkQOA5RNxO1g0X5GIwbwSYEDc1EpWWipq03ppYEDrEA7RHcTaW4diyboLKhjymiiEiElD1f0rdtgpqqwXSyb0FZQrBLrR0scOoDOI5DOCBDEHg0VB2GaaHSVBEN7O2+J1HgkY0GoBm0fKeZNqotA3XVQHwX7rbWlfJidLy44ih1W5sEUdEAFSrcqwE2Y3di2U5mSaVluHXBEs8hFqSm07tZG80mBLWWgYqqe2XioCQgEZJ3RdvCdjEsC/UW7fHiAES6rI3IAqc+IiBREbp6S4dts74nF0Wi/U8tp75v2gQlR+QtscPtW66GW7YMKyKG24OolgmLrAVRHAdEZBGxALXG2Ou7UMbOxLRsVDUTNZVml9t7lkSeZpbiwd0dLAFu6Yk2frsyLbLAIxGWEdzj9wHAMZ82TDQ1moHjeQ6xgAKhywkGdib6DEkQEA8FUFfX+p4My96zek8u7nh/UBK8iRLTJsjXVUgCj0RI3rWL6mZBVFWlpQvDor55Nc0EKipCsuAZ7wZE5hHH6E9cnTPXsqdlrBdElQUe0YC46zNLLlR3ykTFWdeA3TlZvB1sQtBo02eSRQHhHrW0sMCpD+GdqQBX+VQzTJiWjWhQ3nMmwRvhOA7RAJ04q7Z0VFUDhmVjtaY6ukhU2G63LjTtQdQQUaCaNmpOOU8zbTR1C03dQq6mQeQ5L4gKK+KeUixn9B+GZaPhBPkNzfIyKi4BiUcsICGqiFD2SNDvCgGXWzpMR3eKinTuvlaE7dBu0gtQ542A1LuAkgVOfQrHcQgpMkRBQL2lwbJtVBoqIsHdMZq/XWgDuYJoQEbVaZ7ULRu5mgpZ5JEKKVB2acOoC9fm9TYQBXTT9nbwDX19czlAJ4/odOLubaZl9BdNnQpSNnTzCpsdnoMX2EcUcVdOw12Llm46NjD0deE56t0ZDexs8V+/0QwTdXVN8zASlCEJvV2/WODkA66GaLVa7cj/n7NtNFpUqsA2WOC0EQFAVHAaxzVqb8KbgT3ZEyACSIhATKAlvYZmoq6bNKgCkAdgJoKIBfamTyKjuxQbOlZqqve5IvGIyDRQoiU4EzBNtEyg1cPj7AV1zUCxoYEDEA04GSZDRd1Qr/tv9xKqYaKp6hAFHpGAglbD6Mh7xb1/b0UTfO/dWTpArVYDAIyPj/f4SBgMBoPBYNwstVoN8Xj8mj/DLFd8wLZtLC4uIhqN7uiadLVaxfj4OObm5rZsHcPoDOxc9BfsfPQX7Hz0D7vlXBBCUKvVMDIyAv46vcQs4+QDPM9jbGys14fhG7FYbEdfALsJdi76C3Y++gt2PvqH3XAurpdpctlb3XgMBoPBYDAY24AFTgwGg8FgMBhbhAVODA9FUfDHf/zHUBSl14ey52Hnor9g56O/YOejf9iL54I1hzMYDAaDwWBsEZZxYjAYDAaDwdgiLHBiMBgMBoPB2CIscNrjnD9/Hg899BAee+yxLf08IQT/5t/8Gxw/fhz33XcfPvnJT6JSqXT2IPcIuq7jd3/3d3H33Xfj7rvvxu/8zu9A1/Vr/pvHHnvsiscf//Efd+mIdxff+ta3cM899+D9738/Tpw4gXfeeeeaP//CCy/ggQcewIkTJ/DAAw/gJz/5SZeOdPdzI+fif/7P/4lbbrnliuug1dprWuSdQ9d1/NEf/RFEUcTMzMx1f37XXxuEsWf5+te/Th544AHy8MMPkxMnTmzp33zxi18kt912G2k0GoQQQj796U+Tj3/84x08yr3DZz/7WfL4448T0zSJaZrkiSeeIL/zO79zzX+z1fPGuDYvv/wyiUQi5OzZs4QQQr72ta+R0dFRUq1WN/35mZkZEovFyI9//GNCCCHPPvssicViZGZmpluHvGu50XPx1a9+lXz1q1/t4hHuLS5dukQeeOAB8lu/9VsEALl06dI1f34vXBss47SHSafTeO6553Dw4MEt/bxlWfiP//E/4l/+y3+JUCgEAPj93/99PPXUU3j77bc7eai7nkKhgL/8y7/E7/3e70EQBAiCgM997nP4i7/4CxSLxV4f3q7nP/2n/4SPfOQjOHLkCADgk5/8JEzTxNe+9rVNf/7LX/6yl+UAgBMnTuDIkSP4r//1v3brkHctN3ouGJ2lXq/jG9/4Bj796U9v6ef3wrXBAqc9zEc+8hHIsrzlnz916hRWV1dx7733el87evQowuEwnn766U4c4p7h+eefh2EY617be++9F4Zh4Pnnn+/hke0NfvSjH6177Xmex913333V9/XTTz+97ucBer7YdbB9bvRcMDrLsWPHtry5BvbGtcECJ8aWmZ6eBgAMDQ15X+M4DoODg973GDfH9PQ0RFFEJpPxvpbNZiEIwnVf29/93d/FiRMn8Oijj+Jf/+t/7ZlOM7ZGoVBApVJZ974G6Pv8aq/99PT0Df08Y2vczLkAgO985zv44Ac/iEceeQS/+qu/ijfeeKPTh8q4Cnvh2mCBE2PLNJtNALhC6ExRFO97jJuj2Wxumv2TZfmar+1dd92Fj370o3juuefw3e9+F6dPn8YTTzwBy7I6ebi7ipt5XzebTXYddICbOReDg4M4dOgQ/v7v/x4vvPACPvzhD+P+++9nwVOP2AvXBgucdhmf//znwXHcNR8nT568qf+329ekadq6r2ua5n2PsZ6tno9QKLTpBJ2u69d8bf/Lf/kvePLJJwEA0WgUf/qnf4pXXnkFzzzzTMf+pt3GzbyvQ6EQuw46wM2ciw9/+MP4kz/5E+9m/elPfxp33nkn/vN//s+dPVjGpuyFa0Ps9QEw/OX3f//38c//+T+/5s+0l4NuhKmpKQDA8vIyxsbGAFB5gpWVFe97jPVs9XzMzc3BNE3k83nv/KyursKyrBt6bQ8cOAAAuHjxIj70oQ/d/IHvIdLpNOLxOJaXl9d9fXl5+aqv/dTU1A39PGNr3My52IwDBw7g4sWLfh8eYwvshWuDZZx2GZFIBENDQ9d8iOLNxct33HEHstnsuozV2bNn0Wg08BY+9lIAAAVmSURBVMQTT/j1J+wqtno+Hn30UUiStO61PXnyJCRJwqOPPrrp/zuXy+Hf//t/v+5rCwsLAIDx8fHO/VG7kA9+8IPrXntCCF5//fWrvq8ff/zxKzK3J0+eZNeBD9zoufijP/qjK8pACwsL7BroEXvi2uixHAKjD/jUpz61qR5QLpcjY2Nj5Dvf+Y73tS9+8Yvk2LFjno7TZz7zGfKxj32sW4e6q/nsZz9LPvShDxHTNIllWeTJJ58kn/3sZ73vbzwfly5dIqlUytNVMU2TfOpTnyKHDh0irVarF3/CjuXll18m0WiUvPfee4QQQr7xjW+s0w767d/+bfLJT37S+3lXq+a5554jhBDy/PPPk2g0uqu0anrFjZ6LEydOkC9/+cve5z/4wQ8Iz/Pk6aef7u6B73J+/OMfb6rjtBevDVaq28M89dRT+NKXvoSzZ89CVVU89thj+M3f/E185jOfAQDYto1WqwXDMLx/87nPfQ71eh0PP/wwJEnCoUOH8PWvf71Xf8Ku4s/+7M/wB3/wB7jvvvsAAA899BD+7M/+zPv+xvMxNDSE3/u938MnPvEJBAIB1Ot1HDhwAD/84Q8RCAR68jfsVO677z587Wtfw2/8xm8gGAyC53l8//vfRzQaBQCoqrruOpicnMR3vvMd/MEf/AFkWYamafjud7+LycnJXv0Ju4YbPRd/+Id/iP/23/4b/uqv/gqWZcG2bfzN3/wNHn/88V79CbsKXdfx5JNPolwuAwB+/dd/HePj4/irv/orAHvz2uAIIaTXB8FgMBgMBoOxE2A9TgwGg8FgMBhbhAVODAaDwWAwGFuEBU4MBoPBYDAYW4QFTgwGg8FgMBhbhAVODAaDwWAwGFuEBU4MBoPBYDAYW4QFTgwGg8FgMBhbhAVODAaDwWAwGFuEBU4MBoPBYDAYW4QFTgwGg8FgMBhbhAVODAaDwWAwGFuEBU4MBoPBYDAYW4QFTgwGg8FgMBhbhAVODAaDwWAwGFuEBU4MBoPBYDAYW4QFTgwGg7GB5eVl/Omf/ilOnDiBUCiEz3/+8973XnrpJdxxxx2YmJhAuVzu2TEyGIzewBFCSK8PgsFgMPqJUqkERVGQy+Vw8OBBJJNJ5HI5vPHGG/gP/+E/YGJiAmfPnsW3vvUtKIrS68NlMBhdhAVODAaDcQ0efvhhvPjii/jZz36GP//zP8dXvvIViKLY68NiMBg9gpXqGAwG4xq8//3vBwD81m/9Fr7whS+woInB2OOwwInBYDCuwSOPPAIAuPfee7F///4eHw2Dweg1LHBiMBiMa3Do0CEAwJkzZ3p8JAwGox9gPU4MBoNxFQgh+LVf+zW89NJLWFpaQqFQQDwe7/VhMRiMHsIyTgwGg3EVvvzlL+OXf/mX8fGPfxyWZeEnP/lJrw+JwWD0GBY4MRgMxia8+eabmJmZwSc+8QmcOHECAPDMM88AAP7H//gfeOedd3p5eAwGo0ew8RAGg8Fw+OIXv4ivfOUr+OQnP4mTJ0/im9/8JgDgAx/4AHiex9e//nUoioJ4PI7bbrutx0fLYDB6Acs4MRgMhoMsy5iensYPfvAD/MVf/IUnbpnNZvFP/+k/ha7rsCwLf/iHf9jjI2UwGL2CNYczGAwGg8FgbBGWcWIwGAwGg8HYIixwYjAYDAaDwdgiLHBiMBgMBoPB2CIscGIwGAwGg8HYIixwYjAYDAaDwdgiLHBiMBgMBoPB2CIscGIwGAwGg8HYIixwYjAYDAaDwdgiLHBiMBgMBoPB2CIscGIwGAwGg8HYIixwYjAYDAaDwdgiLHBiMBgMBoPB2CIscGIwGAwGg8HYIixwYjAYDAaDwdgi/z+5IbrLvqYnbwAAAABJRU5ErkJggg==\",\n      \"text/plain\": [\n       \"<Figure size 600x500 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(6, 5))\\n\",\n    \"\\n\",\n    \"x = y = np.linspace(-1.25, 1.25, 75)\\n\",\n    \"X, Y = np.meshgrid(x, y)\\n\",\n    \"\\n\",\n    \"c = ax.contour(X, Y, f(X, Y), 15, cmap=mpl.cm.RdBu, vmin=-1, vmax=1)\\n\",\n    \"\\n\",\n    \"bound_rect = plt.Rectangle((0, 0), 1, 1,\\n\",\n    \"                           facecolor=\\\"grey\\\")\\n\",\n    \"ax.add_patch(bound_rect)\\n\",\n    \"\\n\",\n    \"ax.axis('tight')\\n\",\n    \"ax.set_xlabel('$x$', fontsize=18)\\n\",\n    \"ax.set_ylabel('$y$', fontsize=18)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch8-multi-dim-integrand.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 69,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 0.732093100000809, \\\\  1.6564972931774 \\\\cdot 10^{-14}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(0.7320931000008094, 1.6564972931774035e-14)\"\n      ]\n     },\n     \"execution_count\": 69,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"integrate.dblquad(f, 0, 1, lambda x: -1 + x, lambda x: 1 - x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 70,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def f(x, y, z):\\n\",\n    \"    return np.exp(-x**2-y**2-z**2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 71,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 0.416538385886638, \\\\  8.29133528731442 \\\\cdot 10^{-15}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(0.4165383858866382, 8.291335287314424e-15)\"\n      ]\n     },\n     \"execution_count\": 71,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"integrate.tplquad(f, 0, 1, lambda x : 0, lambda x : 1, lambda x, y : 0, lambda x, y : 1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 72,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 0.416538385886638, \\\\  8.29133528731442 \\\\cdot 10^{-15}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(0.4165383858866382, 8.291335287314424e-15)\"\n      ]\n     },\n     \"execution_count\": 72,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"integrate.nquad(f, [(0, 1), (0, 1), (0, 1)])\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### nquad\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 73,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def f(*args):\\n\",\n    \"    return  np.exp(-np.sum(np.array(args)**2))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 74,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"CPU times: user 589 µs, sys: 71 µs, total: 660 µs\\n\",\n      \"Wall time: 664 µs\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 0.746824132812427, \\\\  8.29141347594073 \\\\cdot 10^{-15}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(0.7468241328124271, 8.291413475940725e-15)\"\n      ]\n     },\n     \"execution_count\": 74,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%time integrate.nquad(f, [(0,1)] * 1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 75,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"CPU times: user 10.4 ms, sys: 542 µs, total: 11 ms\\n\",\n      \"Wall time: 10.8 ms\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 0.557746285351034, \\\\  8.29137438153541 \\\\cdot 10^{-15}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(0.5577462853510337, 8.291374381535408e-15)\"\n      ]\n     },\n     \"execution_count\": 75,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%time integrate.nquad(f, [(0,1)] * 2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 76,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"CPU times: user 207 ms, sys: 5.22 ms, total: 213 ms\\n\",\n      \"Wall time: 211 ms\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 0.416538385886638, \\\\  8.29133528731442 \\\\cdot 10^{-15}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(0.4165383858866382, 8.291335287314424e-15)\"\n      ]\n     },\n     \"execution_count\": 76,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%time integrate.nquad(f, [(0,1)] * 3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 77,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"CPU times: user 4.28 s, sys: 27.9 ms, total: 4.31 s\\n\",\n      \"Wall time: 4.32 s\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 0.311080918822877, \\\\  8.29129619327777 \\\\cdot 10^{-15}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(0.31108091882287664, 8.291296193277774e-15)\"\n      ]\n     },\n     \"execution_count\": 77,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%time integrate.nquad(f, [(0,1)] * 4)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 78,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"CPU times: user 1min 31s, sys: 695 ms, total: 1min 32s\\n\",\n      \"Wall time: 1min 33s\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 0.232322737434388, \\\\  8.29125709942545 \\\\cdot 10^{-15}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(0.23232273743438786, 8.29125709942545e-15)\"\n      ]\n     },\n     \"execution_count\": 78,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%time integrate.nquad(f, [(0,1)] * 5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Monte Carlo integration\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 80,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from skmonaco import mcquad\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 81,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"CPU times: user 2.01 s, sys: 160 ms, total: 2.17 s\\n\",\n      \"Wall time: 2.05 s\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%time val, err = mcquad(f, xl=np.zeros(5), xu=np.ones(5), npoints=100000)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 82,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAaIAAAAVCAYAAAAEs+oWAAAABHNCSVQICAgIfAhkiAAACVJJREFUeJztnXuMX0UVxz/tdi11bUBojV3Lug1IBBqrKLaFFASMidRYpcYAFqmIDSQkRqU2oASwgg9QwESlArZBrUJxgYaHRiE/4zug1RIBH43xVWhpVYqgllr848zQ2dmZe8/cO7dd7XyTX377m/udOWfmnDlz53HvQkFBQUFBwTjFC4GJ+1qJGhyQyO8DXtWFIntJbmp9/9exv9V3vKPOj8e7vcazfhOAtwDXAcuBhYo8ezuetYm3A0gdk3A8cDXQb34PAauBlcDngFuBlyvLWgpsBP4F/AH4EjAtwDsB6AFPAo8DNwEHR8qcClwEPFEj+3vAc97n3c71LwSu288TDXhauSD1/QpwDXAHsAo4JFIPbX0t+oEHkbZvytPql5sHuvqm+Esq2vi7Nm9unouYXbvwY9DZaym6OJCbp9XPRVW/0MpNsdtsYANwN3BohV654hl0E3+q9BsEPkFCH10M3IaMZiCNt5nRRjkP+Aswo6asc4GHgMuAK4FfGeV+g8y4LE4Gvo3cBcwFPm54twfKfIMp7xnDieE44MfIgGo/K4HJ5vpU4PfAp4ELvc9GxMFSeFq5AG8CtrDH8BOAW5D2mdqwvi6uMNylDXla/XLzQFffFH9JRRt/1+bNzfMRsmsXfgw6e2njQG6eVj8fsX6hlZtitwXIzdRqqmcMueIZdBN/NP5yMHAv9f2IucAm4EAn7U7gz4xupD7gMeCrFWVNAb7rKdIP/IDRI+UEZKTsYzTuB3ZUlP9DqhtmPXBUxfX3AK8NpE9CRv43JvK0cvsQh/HbbjZSn09F8tXV1+J4YIT6gSjG0+qXm+cjVt+m/qJFU39PyZub5yJm19x+7CNmL20cyM3T6ucj1n4pcrV2GwS2IgPAC2r0yhXPuoo/Wn+Zg/RVv/8+jz7gEeACJ20Q2A3cHOCvBXYSn86djAxsPt6FVOjD5vdExMg+bkeMHEOPeMPMQabOdyB3BK+oKMfHmxHDTWrA08idh+h9aeDadmAb4TujHvUdaSpwF/BKqgeiKp5Wv9w8Hz3C9W3qLxq08Xdt3tw8F1r7u2jqxz56hO2ljQO5eVr9XFS1n1Zuit1Wmbxn1OiVM551EX9S9RsBLnYT3MMIixEDjDhp841Svw4U9ihyR3BcRNj9wE8D6U+a74fN927gnx5nCBhG15FCWIg0/iLgKmTqfCNjlxVCOB1pg10NeBq5s8y3X2eQNedDgMMUeoZwNXAJ4hRNeVr9cvO06MJfLNr4uzZvbp4Lrf1dNPVjLbRxIDevCaraTytXa7fJwBIkuA8BP0GWvzYBKxg9GOSMZ13En1T91iMHMgZsgjsQvcMUttlJGzLf2wKF2Y2rVKVnA38CvhW4NhEZEL+PVOaZxLItrkQ2/aYhM7wtwHuBNTX5JiONua4hTyPXtuXMQLn/MN/Ta+SHcBoy5d7QkqfVLzevCXL5i0Ubf9fmzc2z0NrfRRs/bouqONAlL4Ym7ReSq7Xb65B9pR3Aj5CZyiDiy59E9j0tcsazLvpjqn4bgIOQU4LA6IHoWGRd04VdAtkZKOzf5vtFCQpPAs5GNu5CM45lyFrms8A7kbsEf/MsBduBzwNHA79A7g5eX8E/1cju1ZRbx6uSuxFpz7cy9ni8PaX4dI18HzOAs5CNyrY8rX65eU2Q21/a+Ls2b24e6O3vo40ft0FdHOiKF0PT9gvJ1dpt0Px9IzL4APwd8emtwAcZ68s54lmX/VGrnx1nFtgEV5EZAQXs6NnPWDRRejnwNeCeyPXrgfOBI5CjiIcC5ySUH8N25MQLhNd5Ldosy2nlbgGuRU7WXIE4s3XoVyNTdf+GoA7XAR9Alq3a8rT65eY1QW5/aePv2ry5eaC3v482ftwGdXGgK14MTdsvJFdrt/+Yvzd7nJ3Ad5BnduZE5LaJZ132R61+T5nvYZvgblCGNqgeM9+hDVp7dv53SuUWmTwfUnB3I+uky5AgkwM/A/5G/KGsAWSquKimHC2vSu5FwF+BM005m5B10z7g5+aaFhcA9yHP0lgZdm2236TtQu7aNLxdCfrl5jVFLn9p4++peXPxtPb3B5scftwE2jiQmxdD0/aLydX6weNemgs7OPlH0V20iWdd98c6/WxbBk8K/pGx66PTkZH7ywH+zaZAzQNKpyCbWKnYine6wkEP/XMBIAPtU8DbItfPQNZwo8cKE3lauRYXIvVZFrneI1xfm171uSyB11S/3Dyrbwqq/EWDNv6uzZub16OZXXP7sdWjCto4kJsH7fuPVq7WblOQpbivB3jXGLlHRmRAvnhmkbs/Vuk3YMpaG8o4gnRkH+uRTTwXE5Hp24iXPsRYnAh8JpD+YuCkkCIGM5E11cMj13ukNcxJiM6ho78gZ/9XKcrR8rRyQabJ24AHiDtOj3B9j0I2Ot3P2w13pfk9M4HXVL/cvB5p9o35i7YjWrTxd23enLymds3txz2q7aWNA7l5dfqltp9Grta+1yODkT8zuBc5dVf1gGuueAbd9Mcq/WaZslaEMtqjhP5Tr0cgRxSXOGnvQxrQPbWzwuRf7qQtQAxyCfBR5/MxZPY1DXl49j7gcvZszg0gr7s4P1ZL5BUczzF2LXY+Mj1ey54NwVnI0ct5kbIORI5snlIhr47XRC7IxuUDyPHPl1TwYvUNYRjdcyQanla/3LxYfVP8xT63UTc7c9HG37V5c/N8DFNt1y78uMo/NXGgC55WPx/DhNtPK1drt5chs5aPOGmzkdOf1jZdxjNo3x+b6LeQihnfZGQEOzdw7WjktT+fRTa61iHPHLk4G5mKnWV+H2N+x6a79sneKcjRx6dNhdYgp1eOiVRiPnK0cbcp5wZGr4NOR4LSDmQddjUStF4aKQ/E4TTT2CpeE7nzkFMsa4if9qqrbwjD5BmINPrl5tXVN8Vf1plyHqrQKYQm/p6Stwuei2Gq7bqUfH5cZy9tHMjN0+oXwjBj2y9VrtZuhwPfRF6x80VkxnSCc73LeJajPzbR71pk1vc8/KnfYmR0n0OzY5AFOixBHHUX8A3kFR/jCVr9cvO6wCSkc/gDRkHB/op92R+nAb9E3mH32yriVcgDVQUF/w+4GDmWWlBQsG/Rh7yK61RthkuB93emTkHB3sFc4DX7WomCggL6kdOAJ6ZmPJb6N8IWFBQUFBTUYRbx/xdVUFBQUFBQUFBQUFCwH+O/zLnzqeNNJKYAAAAASUVORK5CYII=\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 0.2315775914499913, \\\\  0.00047512221420657915\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(0.2315775914499913, 0.00047512221420657915)\"\n      ]\n     },\n     \"execution_count\": 82,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"val, err\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 83,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"CPU times: user 1.93 s, sys: 101 ms, total: 2.03 s\\n\",\n      \"Wall time: 1.96 s\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%time val, err = mcquad(f, xl=np.zeros(10), xu=np.ones(10), npoints=100000)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 84,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 0.0540332249061147, \\\\  0.0001721803643623528\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(0.0540332249061147, 0.0001721803643623528)\"\n      ]\n     },\n     \"execution_count\": 84,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"val, err\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Symbolic and multi-precision quadrature\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 79,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = sympy.symbols(\\\"x\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 80,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f = 2 * sympy.sqrt(1-x**2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 81,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"a, b = -1, 1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 82,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"sympy.plot(f, (x, -2, 2));\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 83,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"val_sym = sympy.integrate(f, (x, a, b))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 84,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAAwAAAAJCAYAAAAGuM1UAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAuUlEQVQYGXWPIQ7CQBBFW+AAnIEjNOA3gTrOATcgwa0jIJG1KM5ARU9QWYnF4pDlfdjZbEmY5Of/P/Ons837vs9U3vsdtAdT+T9V5VogfAyBG6yFBbiCefA1rFw7hgvwwpydc/emadb4C75DL9G1gswe6GwiAwtWJb1TMLpU2UA8Sg1BXXsmvYJe6ocLBLdAb7eamTCOF/iSfnYDPj9oAfor0+K4gFa4/XmCnlOCWOmCBoc4+YrBNbXekOM5QGb1RHgAAAAASUVORK5CYII=\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\pi$\"\n      ],\n      \"text/plain\": [\n       \"π\"\n      ]\n     },\n     \"execution_count\": 84,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"val_sym\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 85,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"mpmath.mp.dps = 75\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 86,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f_mpmath = sympy.lambdify(x, f, 'mpmath')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 87,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"val = mpmath.quad(f_mpmath, (a, b))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 88,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 3.14159265358979323846264338327950288419716939937510582097494459230781640629$\"\n      ],\n      \"text/plain\": [\n       \"3.14159265358979323846264338327950288419716939937510582097494459230781640629\"\n      ]\n     },\n     \"execution_count\": 88,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.sympify(val)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 89,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 6.90893484407555570030908149024031965689280029154902510801896277613487344253 \\\\cdot 10^{-77}$\"\n      ],\n      \"text/plain\": [\n       \"6.908934844075555700309081490240319656892800291549025108018962776134873442530e-77\"\n      ]\n     },\n     \"execution_count\": 89,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.N(val_sym, mpmath.mp.dps+1) - val\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 90,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"6.08 ms ± 255 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit mpmath.quad(f_mpmath, [a, b])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 91,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f_numpy = sympy.lambdify(x, f, 'numpy')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 92,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"1.43 ms ± 31 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit integrate.quad(f_numpy, a, b)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### double and triple integrals\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 93,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def f2(x, y):\\n\",\n    \"    return np.cos(x)*np.cos(y)*np.exp(-x**2-y**2)\\n\",\n    \"\\n\",\n    \"def f3(x, y, z):\\n\",\n    \"    return np.cos(x)*np.cos(y)*np.cos(z)*np.exp(-x**2-y**2-z**2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 94,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAa0AAAAaCAYAAAAE7gNOAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAOmklEQVR4Ae2c23EdNxKGj1gMgOZGYDsDS4pgqQwkOQJ7M7BLT9Kbys7AUgT2OgPZEeiSgb0RiGYG3P8D0RAGgxk0zplDF11AFYgB0OjLj8Z15vDe9fX1boSBwEBgIDAQGAhshcCLFy/OxOup4n/0fD/nq/wXlCu+ieXk/1T5bzG/mpyUtWr4WPGiLB/5gcBAYCAwEBgItBDQ+vGVaL5VZOEiloFFinoWrZ8Uv6wtWCr7QXWzcJqXiOix8o+UsgqOMBAYCAwEBgIDgS4EtH58UIMPcT1ZavvvSLdUT/nPonmj+CgnSictVbAiPlM6FqwcofE8EBgIDAQGApsjoLXmQpGbvdppbKdyFr//Kv0uF54WLSoVOar9Y4KM5Zg6CSo7U+R4erQAf8VvkXU0IYPx5giMfvsE6cDiExbj6SgIPBPXPxV5j/Va/sYt3yyo/JUKeS+W5tJwPYiDquKB0skxLOegOrtf/KjyLxV/UBlCu4PasZigyORUpzx6WBlKkkfO7AWdyjz6/C46+LBiE8zwyYvBm6rdLuNpRRxPra2VTVLV12yhjA3AT6qf0MfMlco/swo955uFc5V/o7Irq19KRVOTvVP51jgmFcTbcLeyGUYZTdNXROuy3UtnSu2ZdvVbTYb0BPvvY90DpZfkVT7xI+XxRQYuGP1LkTy7ypmvqzwF1Vf73AhU78LT6EkXeHZhIR4un/PSRb1cPM2WaAeb7/t6Xhw/HXTm64t+3GNPtKm7f8y+3tRjp2iaNvbKbdFLJj6e/Fz5l8q/V7y30BbMXis+od7eaTHIWNGqQUxh+FLprxAoZYC9V8r7r30WLhyrNogZ3LZo7fQcXtYpfaIYZEf5Xn2YMIgMQPSEB3ZMHFp5BgcvBVlIA5hK0ZHIAr0WZraI+KEi9iET+Xm4UCZMapIRcFSexe1HiJSi6/+UMvBa2M5kqw08t8ZxJ74ujETn6puoJ7SrtnvpxGeL4Oq3JUERIzZZYXBBp2cmBRsraaCqDLrk65GWRYubgOTrlBdh1ufU005JE8+Cl2VrPN1YRNlNn/PSoZSXNtIxoTHO2CTgp7PgpbOGom/6sVdHeEbaffvH1GqmUU4Tj6iTx0bmI1vY1uQzd7bmq9BedFwJ5j4e2qnsQjEfIyaPtYnxwti4skWLxaF6yhJR+ApEaRJCw5hnBay2M2llqnaT+8msHjlcqfHizWT9ojJkPFMMZarr0YeXgWkCEY+lwKD9TbQ5YEwCq50g+iVbAHd2mlNZGFBKzT6c61z5sGChnJ7R+Z0eWdgmkxr1FkSzJPsYOCK2iZF06ukbr+1eOoPmkNTbb0syGNzf5JXChMkcXMAvnK5jngmjDLT9XdH8Y1Kvdkt9Dt1eOK3w7MHC5XPS0UuHPS5a6X8l2jDGoy1MsrPgpaOhaJGN/akfaB/z+Zzn0jEqs1f/xLbuBD1F7MHDZaP4sfnumuMdyrI5Y1MOb8L5TVKfb7Ep0j4V3asTZayTmShrAQCMeV7/VhlWRiZ3V4iyAJVYBmRM6kRfo9tMHxSQDO5SwcCudCimnFPkYmepjjYTfUPDmz9vsuf8sdxdI7u2MIIFTlUNDdmb4yh5Xox6+sZru5euilVnobfflthyiv5LeJ0VBGyGmATtFMDpPUwsBd1ittHntOvGqcGzBwuvz3npsKeHFvotg9ePe3Ts7p8tDarw8tpYaXpw0Y/yPbCzADa/qqw2FxoN61MYM5y0GGj8sKu2QNCA+trVodFTn3YkNFgJX0vO5BrBaFXOwE7veShXGcYQ2N1Y2FIfeHKKYyU3e0xOK12zZYaH+LML5+42BOVtYru0siz9yLNovlLMO9dI1mQfA0cvRq6+8douY82J98HIsHKn0qvZbw1mYE+fLfmS9TkLwneiI+Xq2+jxkdzXlU1hrc+Nby9OazzdWEh/l8956bC4hzYhtN2D14+9du/bP9tZNOfksnHerF2ivmNzxi0RMvgoDZ/+Q6ndKPGKBl9nnuN97k751ibuD5Fx0tqdKj5UtEFDWQpiZGCnssqDHe0qVZ+KxIurjaUB+YkwPokegzGMu9KwaO6jj9qEY3Bkyw6Xdyj5QsCJiSs50q8VARK6xZfiou21hU5kMkunOT2zUKo4HY15thA6UpkZtnvI3gLHJkbSy+0rXttFR7+AyQwHlS1iRIMtgmTP+m2Nr+iXBh747VQf/E4pV9EsCmzKOJnhF/hcfjWu7E1Q/aq/qb7bl1o8TbalondjIdqZzxmfPPXS0aaHNpfR+yw5bj8ueS/pqPLu/il5b5k/xEaPHuLPZjPNdWUb8FirL+ljnrFzhu6nPCjWdmjQ2mSBkDJYm2YnSxAOT8fZzrnklfKiYYDj9CymKPpO0UKvPuj2i3gG/aMerPhc/TFx5Lrz9WQCWs9MJnzFN9lxKu+2xZRWyuJLLAO8sbUMYZJTIbJS6JEt2k1wFB8vRr1947XdS5dw2vBhqd/cImI/0I/Jt2isck5Y8GdBIsXXZz4iGq+/uXHq4CmVUmhiIb5rPpcYeelo0EObBBz20OvHXh3d/XOY+q7W3Ta6uB6XyNabL04kBwPCpL6nTNvxrjVPp6U1IurkpOyuufNk1/qzIl9e2TUhJK2Q9FE7Fqdkm55ZNDnSlyc+TkHlFSgfgfD7gXzSRrbbFojVnkmHr2WQW4bw0l51aeHSMwPfdLaOsnZu2eKzGY5ReA9Gpm+Zpr5Rhdd2L10p66C88Fvrtx7efIDxSvzsaiS0Vd58mhMWvkG/s6FKvhAI/f7Wg5Pbj9BBOrmwEJ3L57x0UbaLZ8TqtpLcj8HHo2NP/9yWHWtyJjauEd5Snc2J5yxaTMrl5Gh6LJVTb6t1eP9iDcpUHcr1XLlIlGTVvNqyO0HZ8Cmw0oP1EQ8WLu5ZiQZE7QT4XnRg80AxhD1t4W73Q2QxSaL8z1XIrpt3HOxmmSD4yIWQ9NpTdmCitnvjqLZejLr6JvJt2u6lC4Zu+2ex37xipDt+z4keXikoz5hgQ/W9Iu+THylvV4vm6zuVu8eOaOknD55unknhm/cTVR/OaCaP0qf0uUm9Zbx00PfQGv890i4/Lvkv6ahyV/+U/Cyv9lyNXSsyLx0aDrLxUOF7tk86n4oBYNoCNOEH0IqUnU0qbjJWlibWkkZtmYABe5HG2oiGneZOaTk43qmY3eeF6vjCRI9tfUTHS+5zpfdpUAm5/mCwFLBhJz5uWwpG7KgX7RdfZJeTmi3yoV2PbNFuimO0BT1WMZJcJmfIDVeeLVjZBAfRN22HgZfOhG2UrvZbS4Z0ZnFA90nfxnZsTlhgUhAdvs2pixfO+DrjwDV2jInarOKp+mP5cNPnpCP2ueiwp4fW7N8ilVz3nNerI7yl48QfVDYZ60s2RL0YP8yHB4XICx42LnN+VjYZqznB3/R8HuVenjoU4OoiTNwFrTGpXXsZKe0eCiSuSPKA83LSoRxwXiqGHYTKPgNU5ZeCVx9OSGl1zpgFvSXDFkfk1+yzJtZ5LlvEN7270DMOQDuTZTxbKbqzCBgOLtlqcwwc0dWLkbdv4LkUStsPpVtqv1h+QL8FnmrPgsd/rk4TlJ7Nx/BJFiPr26SHyjh1cULBR119Lvrkb4nR9CHhKVqem+Mx56nnVR+O9c2x66VD9R7aqamb5Zp+vKGOqX9a2ksmm5qtQtPGrQRtxAc/JIQfFzMhWUEoLf6wsLAzLAMnGO5yZ4PPCFUHMMRJUPlfKmBStiuRnZ7hk0/U1oZOJRgfrz68R6gNaE5txgu+2Fb7TQr2sesKtDHN29F2p/KZLaHi5o/pXls8aftYZK8VP9dzwFEpkxWLejohqgy5LtmRz5Y4SrQPI9F5+2YnPb22u+hQUjyriwF1nWG139Z4SQf6joWh9D3swCfxKSKbNtsQ5SwZi/Qfda4+p7HomziJxu1H8IxhFQvxDPaIdtXnvHTI7KGNOm6duPwYPSV41W5TTLTN/jHaW0pdNt6SLh4x4bAhwssT/XmraI45ayyw+UDhMoIe6vXMwHqqGF4uUkiZovfOlfbEPDDIJ4uH+NHR0PHi+ApipS59RMqn7Xb0pilt+VKLkC+WYSCrLi3MekbmxL7Qqv4HWmItWPlVrVJlLFDlgobO2Os5ndVkb43jTrq4MBKdt2+Aw2u7i06ywYIvPre481/tN2QpznxdZejKZEB98L+YUpZ8WM/4X3p3pecQRMuVIp+91xazSBV8zfSzMlIXTnmD7LnmR1Ztsq6soJK6fE7tvHSI6KGtqLR/kfD3+nGPjof0z/7GLLTssHGBw60Xg1/YIN17/vw5Jw8Wi8VrORmI4z5T/KhIeKj4UuWTiVV57uPZeaRrEYgtqJwJmQWS3SiByZBBGr6sUoouaUHRM4ryXySgS0F5rz60x7EIrNQsELz8ng1AlbFowZcA7cy+UBP/iH7VFshEg3wm0dmn89QTRJMWS2WRv/j7MOgJarMqW/Wb4ngjNem6ipFkU9/0lWiHy3bx9NLhf4TVf5h6Q7L8V/I8/TbzdbWjr823SwHcSuSnZ+jAKd+0LPa92q72OcJE48IJWoKTZxOLyMvrcy66Tp5ho6A2zC34H4s+c9Nb2Zi+2tSzi07twMblx6Lrsaerf9Bjn+C102vjPjps3Ua64v98o/Dk3vX19U4PXHHxBdtkcdha8OA3EDg2AvJhTue1K5tjix78BwIDgSMhoHHNhpDbi1cnUQa/SeKz2xEGAncdAd4nXd11I4b+A4GBwA0CGs+cermZYJ3a2aLF0St8okvhCAOBu4hAdG67wr6LJgydBwIDgTkCfF/ATybCZjQsWspw/8uVClcrIwwE7ioCT+XD6R3GXTVi6D0QGAhMEOC7BPs2IZ20oOBLQF4MjzAQuJMIaMHiq68RBgIDgX8IAhrT4T+4KE1f1IYPMcw+VXDS4t/LVL/+M7qRDgQGAgOBgcBA4JgIaB3iy1U+vph8b2HvtIJsVfJrfD5B5zPOEQYCA4GBwEBgIPB3IcDhKf8JVNDj/36RkPMPVqo0AAAAAElFTkSuQmCC\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 0.430564794306099, \\\\  7.28494733311039 \\\\cdot 10^{-15}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(0.4305647943060992, 7.28494733311039e-15)\"\n      ]\n     },\n     \"execution_count\": 94,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"integrate.dblquad(f2, 0, 1, lambda x : 0, lambda x : 1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 95,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 0.282525579518427, \\\\  7.2848958098526 \\\\cdot 10^{-15}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(0.2825255795184269, 7.2848958098526e-15)\"\n      ]\n     },\n     \"execution_count\": 95,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"integrate.tplquad(f3, 0, 1, lambda x : 0, lambda x : 1, lambda x, y : 0, lambda x, y : 1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 96,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x, y, z = sympy.symbols(\\\"x, y, z\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 97,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f2 = sympy.cos(x)*sympy.cos(y)*sympy.exp(-x**2-y**2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 98,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f3 = sympy.cos(x)*sympy.cos(y)*sympy.cos(z) * sympy.exp(-x**2 - y**2 - z**2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 99,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left(\\\\int\\\\limits_{0}^{1} e^{- x^{2}} \\\\cos{\\\\left(x \\\\right)}\\\\, dx\\\\right) \\\\left(\\\\int\\\\limits_{0}^{1} e^{- y^{2}} \\\\cos{\\\\left(y \\\\right)}\\\\, dy\\\\right) \\\\int\\\\limits_{0}^{1} e^{- z^{2}} \\\\cos{\\\\left(z \\\\right)}\\\\, dz$\"\n      ],\n      \"text/plain\": [\n       \"1                1                1               \\n\",\n       \"⌠                ⌠                ⌠               \\n\",\n       \"⎮    2           ⎮    2           ⎮    2          \\n\",\n       \"⎮  -x            ⎮  -y            ⎮  -z           \\n\",\n       \"⎮ ℯ   ⋅cos(x) dx⋅⎮ ℯ   ⋅cos(y) dy⋅⎮ ℯ   ⋅cos(z) dz\\n\",\n       \"⌡                ⌡                ⌡               \\n\",\n       \"0                0                0               \"\n      ]\n     },\n     \"execution_count\": 99,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.integrate(f3, (x, 0, 1), (y, 0, 1), (z, 0, 1))  # this does not succeed\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 100,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f2_numpy = sympy.lambdify((x, y), f2, 'numpy')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 101,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 0.430564794306099, \\\\  7.28494733311039 \\\\cdot 10^{-15}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(0.4305647943060992, 7.28494733311039e-15)\"\n      ]\n     },\n     \"execution_count\": 101,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"integrate.dblquad(f2_numpy, 0, 1, lambda x: 0, lambda x: 1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 102,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f3_numpy = sympy.lambdify((x, y, z), f3, 'numpy')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 103,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 0.282525579518427, \\\\  7.2848958098526 \\\\cdot 10^{-15}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(0.2825255795184269, 7.2848958098526e-15)\"\n      ]\n     },\n     \"execution_count\": 103,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"integrate.tplquad(f3_numpy, 0, 1, lambda x: 0, lambda x: 1, lambda x, y: 0, lambda x, y: 1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 104,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"mpmath.mp.dps = 30\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 105,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f2_mpmath = sympy.lambdify((x, y), f2, 'mpmath')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 106,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"mpf('0.430564794306099099242308990195783')\"\n      ]\n     },\n     \"execution_count\": 106,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"res = mpmath.quad(f2_mpmath, (0, 1), (0, 1))\\n\",\n    \"res\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 107,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f3_mpmath = sympy.lambdify((x, y, z), f3, 'mpmath')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 108,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"res = mpmath.quad(f3_mpmath, (0, 1), (0, 1), (0, 1))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 109,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0.282525579518426896867622772405$\"\n      ],\n      \"text/plain\": [\n       \"0.282525579518426896867622772405\"\n      ]\n     },\n     \"execution_count\": 109,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.sympify(res)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 110,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"CPU times: user 2min 9s, sys: 192 ms, total: 2min 10s\\n\",\n      \"Wall time: 2min 10s\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%time res = sympy.sympify(mpmath.quad(f3_mpmath, (0, 1), (0, 1), (0, 1)))\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Line integrals\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 111,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"t, x, y = sympy.symbols(\\\"t, x, y\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 112,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"C = sympy.Curve([sympy.cos(t), sympy.sin(t)], (t, 0, 2 * sympy.pi))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 113,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 2 \\\\pi$\"\n      ],\n      \"text/plain\": [\n       \"2⋅π\"\n      ]\n     },\n     \"execution_count\": 113,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.line_integrate(1, C, [x, y])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 114,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{\\\\pi}{4}$\"\n      ],\n      \"text/plain\": [\n       \"π\\n\",\n       \"─\\n\",\n       \"4\"\n      ]\n     },\n     \"execution_count\": 114,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.line_integrate(x**2 * y**2, C, [x, y])\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Integral transformations\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Laplace transforms\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 115,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"s = sympy.symbols(\\\"s\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 116,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"a, t = sympy.symbols(\\\"a, t\\\", positive=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 117,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f = sympy.sin(a*t)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 118,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAALEAAAAyCAYAAAATDTqzAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAJu0lEQVR4Ae2d7XXUOhCGNzkpIIQOkg7CpQKgAz4qADqAc3/BPw7pAFIBXDqAWwEkHZBbAZAOuO8ja3T8IXttr+0VG805Wlnfo9Gr8Xis3d37/fv3ah29fv36H9V5p/jLurq5PEtgCgkIa4fqB9w90vV1V5/7XYWUqQM6+qw4A3idsHL5ZBLwwH2pDv/VNYBupU4QewBfKX7f2kMuyBKYSQLC3aW6fqNw0TXEXps5oQ6eqeFLxSddHeSyLIG5JSAMvtMYR4ofxcaKamJVPlZlGkYbxTrKeVkCc0lAeHyuvk8Vo1gbFAWxan1WOFMj1HmmLIEUJIB9/FaYbNjHDRB7tKO6aZQpSyAJCQiPn8TIlcLbOkMH9QxfKdkHOU0GU4cNhtvlhwKTe6j8M8WZdlsCrDueMjQygHZU0cQqeKFc1DVPhMmR+LsvpnhSZRI8dAJcbPfobUb5mXZIAlpv3LyYuBUroQJiFWJAf1JltFxSJJ7YXPisAW/YhUpzjRswOZ7FV6bpJYCCfebx4HoPIFbmqXK4VSephcUXthBA/qhQJrQzJkWmmyEBe+kWPBUBxJr/3wrXAnOqHonH4u9LWeP63cjGw5uS6QZIwK8/QMZqcFQGMRrNUO6L04g8WNHC9Q0GsFcqT5LvNKS3k1xgVh5r3VFgKwdiJTAlAEnqGu0rTJeIlzEO2JoDHgo3qVJ5vtxNCZhJieItQKz4iZ9rkhpN4OShDbAGkCoPm4j0NwXorvLKD3xFbv7cOQl4PICJB0zuwM8QTYw9nDII7onHc/GIG/C2wgcFJoF7jTzSmW6OBFBe4DaA+C9dm0YjPznyuy92liOWlxz/fRnSPO2NFC9yOHxVcez37aernsbA1475iDb76WMHCH+NMqP8yMe4MJ3WUzoV4s7szIkDMQezhJS1cCqCm5UPD643ip3L0K/NheIHClOuD4DlsLkbh0npmrsZG+i5rsMbW10/VN65Qmr0HYbE330e7MzOdJmpcXpT+NFiYOMfKi4DC01JmreSk5D6R2HxQiuM09Wxr/etq86Wyoyn0zKIp9zpW5rXHz1s8LTUZoFH5r4HX61oVBITYagX6nLC8UcxHWlkeD0BxEwKsswilT+XlgD2HfZpndDGkLP/isuNPseYjtylDScbDT5VY20qk8sR3gkmBVlmkcqfi0mgp5abBEQaiweioYSC4/QYPHAsgfRdBTYWdxAwhN2MacpbVfewrRgTicM6rp3SlZOGSlOfcjNlT5QX3sQpvw8doolxV0ExLVCU5M+5JWAAjSkSWxdTNnPz0uhfwAKYeErgwb6uhp1+qoCpg7lxR9fwGvhUHg+I5Ic8XTtSGW3tRCJfwADg3xWT15euVfEIEDcG6NtDrreoBEzZLDpobTA0MKDlwZDrW4qDJ0Np8iqkcoAWI14df/T9uHJdA2S+hoRHpA+5TYM54bRAx2DRzlR//Q9WRFvuTqZksDfRbEzbxrozLY3feNsEIANQh2LGmFc7tPCxQkzrXiofU6WX90T1nE2seDhNuIDDB9+xFoBBgVnF7oqWF8Cz5el3bbi+rAFg6I7mHY5UFlnOnWjuM5/VHaGJHVPqDB9lm+rv7iWXTiEBzq3Y4pb7M02cyrmWKTBiG5KHxb4atyyT8vXPfaWMKRNWuUK+HiABFMGA6vWq2Ii8/q8TD0Y8ONk6rTYcp97/rGnx2tiYysNkYD528KzCg8rxevQhMHuNJjZba5MFWDugFzwH7yGb2FPlh8UpitL4HMqvr/9LsT2pD5qI2r1X4KtXHCl12kkxa8KZaQ4/OfJ5o8exfkbG8NOFE16i1F1kAJI1Nq+GLh0xJ36iigfFcJfRNa++h7yhvNp79eoVNgmNsE/YIbOQ+uYHCcMESWsgJlCf3CzjD+10DL9qY/5OZMnCDSK1ASBsdFMsPOBwlqKyLpuOY0ypHwDGmjAudwFi+MYmJXZj+3r4cw2QlLOeDVNAeXaAyWTB2d//FCAOEnFncaRrlBn1MWkZD6JfMzeKnJZP1cO58B4Q487gVsYhk7AjWtqNzvYDhjGUZgJMdNbNM5bhsfyqHfKsfI1qLA9d7ZYap4uHbZZp/my4Xwpn+/ow1AOqOYkdzw7+U2gsvxzON60y51yXGmfOOWzSt+H1x4EEjg1HZ0HNb9JzW1uNUXaKUw2QcHup3Crb2tfz1Y5bG9+zqvdbrzoqHel3Lb9qg3YwU2DUuH0aLTVOH162WMdAfIUmhtDGsSdjVzj1hxYBZze33U02DoAhzE4D+H2supXzATMxt9Q4M7E/SbcG4ksDMdrQMicZoa0TLTLjYMyPevhp63eu/CH8qu4sd4X63JYapz5uYmkeeleSxdWBZwzXCK6dUS881A5g8vSKLcjtlKdW+qtoJV+Pr9u4r7ooRiPztsrsciWXI43LZrLb/21d8zTOHBzp2m04xUnwa3zl2EkAc9I5IgzE9sBFQcNt0iU0LTBt8G6gWR0YFbMpcJ/h+3SgUAwgcKvhCwW8EHYm4F+cxAM8wouzyRUzD0ANTyulk+IXnjIVEvBrgynJGobfnWAhAVv0DQoVY6TO6AgA9/l9tAvVAyjEFp6pDwdy5S1GXghssvJDJZsJvoyS4dcYynGQADiCnMI9KK7dJ05p3g4NITQXQKZtmRikotEFmFvlCn2v1c69FInU55XjSuVOc9bK8bi4g9m1/EpSddjJbEL8upVv8yo9it/KADkxlwRYKzxb7s5fBjGLiWZEQ/V96QHoK459tQXU3Iqdqle8Eam/GEhXyse7gYutYnf3GUxtEADt+Iav29WkFbZi2vThOdepSIC1D2u1b0VaQIALstdqMNqoPmAllG/JFDlt7vsjnSSJP0wgzgOzq5n7Cz+nJPnNTBUS0BrZ0c3gCQog9kLCPEAbA86+9LVWkU1gD0t4KNDKyZD4wTti7/VXum6YEskwmxmJSQANXPkN7QqItaCg+1qBQyidpLrUA6wBpMpjl5A2b0eKv4+G+YCdHUh8c3sKnpRQkC+SkoDWibUDX8GUgMGyTUwaogIniSo+U1fS/OA43Z/2+2hPxTN2P/awEb7qqO1tFXKchARMC1feKzRArMVEI7GgaOMK4uvTUD20ccyGjuXVm28lLZ65e9Tt+K3wkgftLwGtG1qY0PAa7bd0g7bCNkZ1p0psIEKmmyEBvGf8flxjzbv+Fpfb7RM12uSQzs0Qb57lrBIQBgHwSnH0Dt+miWmAHxV/Kh6LTFkCW5GA8GfvA6IAhqlWEFOoDmjY+p+61MmUJTCXBIQ/ztjwbIYDoZU6QUwrdcTLAGwRjOpMWQKLSEB4O9RA5wr3dN2wg8tM/A9Fd3JGRk5JZwAAAABJRU5ErkJggg==\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( \\\\frac{a}{a^{2} + s^{2}}, \\\\  0, \\\\  \\\\text{True}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"⎛   a            ⎞\\n\",\n       \"⎜───────, 0, True⎟\\n\",\n       \"⎜ 2    2         ⎟\\n\",\n       \"⎝a  + s          ⎠\"\n      ]\n     },\n     \"execution_count\": 118,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.laplace_transform(f, t, s)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 119,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"F = sympy.laplace_transform(f, t, s, noconds=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 120,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{a}{a^{2} + s^{2}}$\"\n      ],\n      \"text/plain\": [\n       \"   a   \\n\",\n       \"───────\\n\",\n       \" 2    2\\n\",\n       \"a  + s \"\n      ]\n     },\n     \"execution_count\": 120,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"F\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 121,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\sin{\\\\left(a t \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"sin(a⋅t)\"\n      ]\n     },\n     \"execution_count\": 121,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.inverse_laplace_transform(F, s, t, noconds=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 122,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[ \\\\frac{1}{s^{2}}, \\\\  \\\\frac{2}{s^{3}}, \\\\  \\\\frac{6}{s^{4}}, \\\\  \\\\frac{24}{s^{5}}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡1   2   6   24⎤\\n\",\n       \"⎢──, ──, ──, ──⎥\\n\",\n       \"⎢ 2   3   4   5⎥\\n\",\n       \"⎣s   s   s   s ⎦\"\n      ]\n     },\n     \"execution_count\": 122,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"[sympy.laplace_transform(f, t, s, noconds=True) for f in [t, t**2, t**3, t**4]]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 123,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"n = sympy.symbols(\\\"n\\\", integer=True, positive=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 124,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle s^{- n - 1} \\\\Gamma\\\\left(n + 1\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \" -n - 1         \\n\",\n       \"s      ⋅Γ(n + 1)\"\n      ]\n     },\n     \"execution_count\": 124,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.laplace_transform(t**n, t, s, noconds=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 125,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{s}{\\\\left(a + s\\\\right)^{2}}$\"\n      ],\n      \"text/plain\": [\n       \"   s    \\n\",\n       \"────────\\n\",\n       \"       2\\n\",\n       \"(a + s) \"\n      ]\n     },\n     \"execution_count\": 125,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.laplace_transform((1 - a*t) * sympy.exp(-a*t), t, s, noconds=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Fourier Transforms\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 126,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"w = sympy.symbols(\\\"omega\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 127,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f = sympy.exp(-a*t**2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 128,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"F = sympy.fourier_transform(f, t, w)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 129,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{\\\\sqrt{\\\\pi} e^{- \\\\frac{\\\\pi^{2} \\\\omega^{2}}{a}}}{\\\\sqrt{a}}$\"\n      ],\n      \"text/plain\": [\n       \"      2  2 \\n\",\n       \"    -π ⋅ω  \\n\",\n       \"    ───────\\n\",\n       \"       a   \\n\",\n       \"√π⋅ℯ       \\n\",\n       \"───────────\\n\",\n       \"     √a    \"\n      ]\n     },\n     \"execution_count\": 129,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"F\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 130,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle e^{- a t^{2}}$\"\n      ],\n      \"text/plain\": [\n       \"     2\\n\",\n       \" -a⋅t \\n\",\n       \"ℯ     \"\n      ]\n     },\n     \"execution_count\": 130,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.inverse_fourier_transform(F, w, t)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 131,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAAoAAAAOCAYAAAAWo42rAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA0UlEQVQoFXWR0Q2CQBBEhVgAwQ60BLUCsQO0A+3BP/4MJWgLWgIdGCmBDiB2gG+OW0PIuckyO3Ozu5cj6vt+ZlEURenrFlyRJVojLTIjwht+BZ86ABNA2p66ib14BhMzee0Dqukm7ozggawlTOIFzzTdjBlCNzGJaqoii/1dBvr/m2pi6s+te2y3Lb/V48NQvdBE6woZbFurO9rKJOA0bXhHDBW5DBhtYmXP88C0CRjXaLW2OiPFHaEDczNTa+2RPEmb6+ND3RcMdoUtfAd3f+wLrOY/XeyA6s8AAAAASUVORK5CYII=\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0$\"\n      ],\n      \"text/plain\": [\n       \"0\"\n      ]\n     },\n     \"execution_count\": 131,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.fourier_transform(sympy.cos(t), t, w)  # not good\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Versions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 132,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%reload_ext version_information\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 139,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.6.8 64bit [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)]</td></tr><tr><td>IPython</td><td>7.5.0</td></tr><tr><td>OS</td><td>Darwin 18.2.0 x86_64 i386 64bit</td></tr><tr><td>numpy</td><td>1.16.3</td></tr><tr><td>matplotlib</td><td>3.0.3</td></tr><tr><td>scipy</td><td>1.2.1</td></tr><tr><td>sympy</td><td>1.4</td></tr><tr><td>mpmath</td><td>1.1.0</td></tr><tr><td>skmonaco</td><td>0.2.1</td></tr><tr><td colspan='2'>Mon May 06 14:55:36 2019 JST</td></tr></table>\"\n      ],\n      \"text/latex\": [\n       \"\\\\begin{tabular}{|l|l|}\\\\hline\\n\",\n       \"{\\\\bf Software} & {\\\\bf Version} \\\\\\\\ \\\\hline\\\\hline\\n\",\n       \"Python & 3.6.8 64bit [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE\\\\_401/final)] \\\\\\\\ \\\\hline\\n\",\n       \"IPython & 7.5.0 \\\\\\\\ \\\\hline\\n\",\n       \"OS & Darwin 18.2.0 x86\\\\_64 i386 64bit \\\\\\\\ \\\\hline\\n\",\n       \"numpy & 1.16.3 \\\\\\\\ \\\\hline\\n\",\n       \"matplotlib & 3.0.3 \\\\\\\\ \\\\hline\\n\",\n       \"scipy & 1.2.1 \\\\\\\\ \\\\hline\\n\",\n       \"sympy & 1.4 \\\\\\\\ \\\\hline\\n\",\n       \"mpmath & 1.1.0 \\\\\\\\ \\\\hline\\n\",\n       \"skmonaco & 0.2.1 \\\\\\\\ \\\\hline\\n\",\n       \"\\\\hline \\\\multicolumn{2}{|l|}{Mon May 06 14:55:36 2019 JST} \\\\\\\\ \\\\hline\\n\",\n       \"\\\\end{tabular}\\n\"\n      ],\n      \"text/plain\": [\n       \"Software versions\\n\",\n       \"Python 3.6.8 64bit [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)]\\n\",\n       \"IPython 7.5.0\\n\",\n       \"OS Darwin 18.2.0 x86_64 i386 64bit\\n\",\n       \"numpy 1.16.3\\n\",\n       \"matplotlib 3.0.3\\n\",\n       \"scipy 1.2.1\\n\",\n       \"sympy 1.4\\n\",\n       \"mpmath 1.1.0\\n\",\n       \"skmonaco 0.2.1\\n\",\n       \"Mon May 06 14:55:36 2019 JST\"\n      ]\n     },\n     \"execution_count\": 139,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%version_information numpy, matplotlib, scipy, sympy, mpmath, skmonaco\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"npbook_py310\",\n   \"language\": \"python\",\n   \"name\": \"npbook_py310\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "ch08-figures.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%matplotlib inline\\n\",\n    \"import matplotlib.pyplot as plt\\n\",\n    \"\\n\",\n    \"import matplotlib as mpl\\n\",\n    \"mpl.rcParams['mathtext.fontset'] = 'stix'\\n\",\n    \"mpl.rcParams['font.family'] = 'serif'\\n\",\n    \"mpl.rcParams['font.sans-serif'] = 'stix'\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import sympy\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Integral\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x, x0 = sympy.symbols(\\\"x, x_0\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f = (x+0.5) ** 3 - 3.5 * (x+0.5) **2 + x  + 3\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/latex\": [\n       \"$\\\\displaystyle x_{0} + \\\\left(x - x_{0}\\\\right) \\\\left(- 7.0 x_{0} + 3 \\\\left(x_{0} + 0.5\\\\right)^{2} - 2.5\\\\right) + \\\\left(x_{0} + 0.5\\\\right)^{3} - 3.5 \\\\left(x_{0} + 0.5\\\\right)^{2} + 3$\"\n      ],\n      \"text/plain\": [\n       \"x_0 + (x - x_0)*(-7.0*x_0 + 3*(x_0 + 0.5)**2 - 2.5) + (x_0 + 0.5)**3 - 3.5*(x_0 + 0.5)**2 + 3\"\n      ]\n     },\n     \"execution_count\": 6,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f.subs(x,x0) + f.diff(x).subs(x,x0) * (x - x0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f_func = sympy.lambdify(x, f, 'numpy')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def arrowify(fig, ax):\\n\",\n    \"    xmin, xmax = ax.get_xlim()\\n\",\n    \"    ymin, ymax = ax.get_ylim()\\n\",\n    \"\\n\",\n    \"    # removing the default axis on all sides:\\n\",\n    \"    for side in ['bottom','right','top','left']:\\n\",\n    \"        ax.spines[side].set_visible(False)\\n\",\n    \"\\n\",\n    \"    # removing the axis labels and ticks\\n\",\n    \"    ax.set_xticks([])\\n\",\n    \"    ax.set_yticks([])\\n\",\n    \"    ax.xaxis.set_ticks_position('none')\\n\",\n    \"    ax.yaxis.set_ticks_position('none')\\n\",\n    \"\\n\",\n    \"    # wider figure for demonstration\\n\",\n    \"    #fig.set_size_inches(4,2.2)\\n\",\n    \"\\n\",\n    \"    # get width and height of axes object to compute\\n\",\n    \"    # matching arrowhead length and width\\n\",\n    \"    dps = fig.dpi_scale_trans.inverted()\\n\",\n    \"    bbox = ax.get_window_extent().transformed(dps)\\n\",\n    \"    width, height = bbox.width, bbox.height\\n\",\n    \"\\n\",\n    \"    # manual arrowhead width and length\\n\",\n    \"    hw = 1./25.*(ymax-ymin)\\n\",\n    \"    hl = 1./25.*(xmax-xmin)\\n\",\n    \"    lw = 0.5 # axis line width\\n\",\n    \"    ohg = 0.3 # arrow overhang\\n\",\n    \"\\n\",\n    \"    # compute matching arrowhead length and width\\n\",\n    \"    yhw = hw/(ymax-ymin)*(xmax-xmin)* height/width\\n\",\n    \"    yhl = hl/(xmax-xmin)*(ymax-ymin)* width/height\\n\",\n    \"\\n\",\n    \"    # draw x and y axis\\n\",\n    \"    ax.arrow(xmin, 0, xmax-xmin, 0., fc='k', ec='k', lw = lw,\\n\",\n    \"             head_width=hw, head_length=hl, overhang=ohg,\\n\",\n    \"             length_includes_head=True, clip_on=False)\\n\",\n    \"\\n\",\n    \"    ax.arrow(0, ymin, 0., ymax-ymin, fc='k', ec='k', lw = lw,\\n\",\n    \"             head_width=yhw, head_length=yhl, overhang=ohg,\\n\",\n    \"             length_includes_head=True, clip_on=False)\\n\",\n    \"\\n\",\n    \"    \\n\",\n    \"    ax.text(xmax*0.95, ymin*0.25, r'$x$', fontsize=22)\\n\",\n    \"    ax.text(xmin*0.35, ymax*0.9, r'$f(x)$', fontsize=22)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(8,4))\\n\",\n    \"\\n\",\n    \"xvec = np.linspace(-1.75, 3.0, 100)\\n\",\n    \"ax.plot(xvec, f_func(xvec), 'k', lw=2)\\n\",\n    \"\\n\",\n    \"xvec = np.linspace(-0.8, 0.85, 100)\\n\",\n    \"ax.fill_between(xvec, f_func(xvec), color='lightgreen', alpha=0.9)\\n\",\n    \"xvec = np.linspace(0.85, 2.31, 100)\\n\",\n    \"ax.fill_between(xvec, f_func(xvec), color='red', alpha=0.5)\\n\",\n    \"xvec = np.linspace(2.31, 2.6, 100)\\n\",\n    \"ax.fill_between(xvec, f_func(xvec), color='lightgreen', alpha=0.99)\\n\",\n    \"\\n\",\n    \"ax.text(0.6, 3.5, r\\\"$\\\\int_a^b\\\\!f(x){\\\\rm d}x$\\\", fontsize=22)\\n\",\n    \"ax.text(-0.88, -0.85, r\\\"$a$\\\", fontsize=18)\\n\",\n    \"ax.text(2.55, -0.85, r\\\"$b$\\\", fontsize=18)\\n\",\n    \"ax.axis('tight')\\n\",\n    \"\\n\",\n    \"arrowify(fig, ax)\\n\",\n    \"fig.savefig(\\\"ch8-illustration-integral.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Quadrature rules\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from numpy import polynomial\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from scipy import integrate\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from scipy import interpolate\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"a = 0\\n\",\n    \"b = 1.0\\n\",\n    \"\\n\",\n    \"def f(x):\\n\",\n    \"    return np.exp(-x**2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"a = -1.0\\n\",\n    \"b = 1.0\\n\",\n    \"\\n\",\n    \"def f(x):\\n\",\n    \"    return 3 + x + x**2 + x**3 + x**4\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.linspace(a, b, 100)\\n\",\n    \"xx = np.linspace(a-0.2, b+0.2, 100)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1600x400 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(16, 4))\\n\",\n    \"\\n\",\n    \"npoints = 2\\n\",\n    \"npoints = 5\\n\",\n    \"\\n\",\n    \"X = np.linspace(a, b, npoints)\\n\",\n    \"\\n\",\n    \"ax1.plot(xx, f(xx), lw=1, color='k')\\n\",\n    \"ax1.fill_between(x, f(x), color='lightgreen', alpha=0.9)\\n\",\n    \"\\n\",\n    \"i = 0 # (b-a)*f_mid\\n\",\n    \"for n in range(len(X) - 1):\\n\",\n    \"    f_mid = f(X[n:n+2].mean())\\n\",\n    \"    ax1.plot([X[n], X[n]], [0, f_mid], 'b')\\n\",\n    \"    ax1.plot([X[n+1], X[n+1]], [0, f_mid], 'b')\\n\",\n    \"    ax1.plot(X[n:n+2], [f_mid] * 2, 'b')\\n\",\n    \"    ax1.plot(X[n:n+2].mean(), f_mid, 'xk')\\n\",\n    \"    \\n\",\n    \"    i += (X[n+1]-X[n])*f_mid\\n\",\n    \"\\n\",\n    \"#i = (b-a)*f_mid\\n\",\n    \"ax1.text(-1, 5.5, r'$\\\\int_{\\\\,a}^{\\\\,b} f(x)dx \\\\approx %f$' % i, fontsize=18)\\n\",\n    \"ax1.plot(X, f(X), 'ro')\\n\",\n    \"ax1.set_xlim(xx.min(), xx.max())\\n\",\n    \"ax1.set_title('Mid-point rule')\\n\",\n    \"ax1.set_xticks([-1, 0, 1])\\n\",\n    \"ax1.set_xlabel(r'$x$', fontsize=18)\\n\",\n    \"ax1.set_ylabel(r'$f(x)$', fontsize=18)\\n\",\n    \"\\n\",\n    \"names = [\\\"Trapezoid rule\\\", \\\"Simpson's rule\\\"]\\n\",\n    \"for idx, ax in enumerate([ax2, ax3]):\\n\",\n    \"    ax.plot(xx, f(xx), lw=1, color='k')\\n\",\n    \"    ax.fill_between(x, f(x), color='lightgreen', alpha=0.9)\\n\",\n    \"\\n\",\n    \"    i = 0\\n\",\n    \"    for n in range(len(X) - 1):\\n\",\n    \"        XX = np.linspace(X[n], X[n+1], idx+2)\\n\",\n    \"\\n\",\n    \"        f_interp = polynomial.Polynomial.fit(XX, f(XX), len(XX)-1)    \\n\",\n    \"        ax.plot([X[n], X[n]], [0, f(X[n])], 'b')\\n\",\n    \"        ax.plot([X[n+1], X[n+1]], [0, f(X[n+1])], 'b')\\n\",\n    \"        XXX = np.linspace(X[n], X[n+1], 50)\\n\",\n    \"        ax.plot(XXX, f_interp(XXX), 'b')\\n\",\n    \"        \\n\",\n    \"        F = f_interp.integ()\\n\",\n    \"        i += F(X[n+1]) - F(X[n])\\n\",\n    \"    ax.text(-1, 5.5, r'$\\\\int_a^{\\\\,b} f(x)dx \\\\approx %f$' % i, fontsize=18)\\n\",\n    \"    ax.plot(X, f(X), 'ro')\\n\",\n    \"    ax.set_xlabel(r'$x$', fontsize=18)\\n\",\n    \"    ax.set_ylabel(r'$f(x)$', fontsize=18)\\n\",\n    \"    ax.set_xlim(xx.min(), xx.max())\\n\",\n    \"    ax.set_title(names[idx])\\n\",\n    \"    ax.set_xticks([-1, 0, 1])\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch8-quadrature-rules-%d.pdf' % npoints)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1600x800 with 6 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ((ax1_2, ax2_2, ax3_2), (ax1_5, ax2_5, ax3_5)) = plt.subplots(2, 3, figsize=(16, 8), sharex=True)\\n\",\n    \"\\n\",\n    \"ax1, ax2, ax3 = ax1_2, ax2_2, ax3_2\\n\",\n    \"npoints = 2\\n\",\n    \"\\n\",\n    \"X = np.linspace(a, b, npoints)\\n\",\n    \"\\n\",\n    \"ax1.plot(xx, f(xx), lw=1, color='k')\\n\",\n    \"ax1.fill_between(x, f(x), color='lightgreen', alpha=0.9)\\n\",\n    \"\\n\",\n    \"i = 0 # (b-a)*f_mid\\n\",\n    \"for n in range(len(X) - 1):\\n\",\n    \"    f_mid = f(X[n:n+2].mean())\\n\",\n    \"    ax1.plot([X[n], X[n]], [0, f_mid], 'b')\\n\",\n    \"    ax1.plot([X[n+1], X[n+1]], [0, f_mid], 'b')\\n\",\n    \"    ax1.plot(X[n:n+2], [f_mid] * 2, 'b')\\n\",\n    \"    ax1.plot(X[n:n+2].mean(), f_mid, 'xk')\\n\",\n    \"    \\n\",\n    \"    i += (X[n+1]-X[n])*f_mid\\n\",\n    \"\\n\",\n    \"#i = (b-a)*f_mid\\n\",\n    \"ax1.text(-1, 5.5, r'$\\\\int_{\\\\,a}^{\\\\,b} f(x)dx \\\\approx %f$' % i, fontsize=18)\\n\",\n    \"ax1.plot(X, f(X), 'ro')\\n\",\n    \"ax1.set_xlim(xx.min(), xx.max())\\n\",\n    \"ax1.set_title('Mid-point rule')\\n\",\n    \"ax1.set_xticks([-1, 0, 1])\\n\",\n    \"ax1.set_xlabel(r'$x$', fontsize=18)\\n\",\n    \"ax1.set_ylabel(r'$f(x)$', fontsize=18)\\n\",\n    \"\\n\",\n    \"names = [\\\"Trapezoid rule\\\", \\\"Simpson's rule\\\"]\\n\",\n    \"for idx, ax in enumerate([ax2, ax3]):\\n\",\n    \"    ax.plot(xx, f(xx), lw=1, color='k')\\n\",\n    \"    ax.fill_between(x, f(x), color='lightgreen', alpha=0.9)\\n\",\n    \"\\n\",\n    \"    i = 0\\n\",\n    \"    for n in range(len(X) - 1):\\n\",\n    \"        XX = np.linspace(X[n], X[n+1], idx+2)\\n\",\n    \"\\n\",\n    \"        f_interp = polynomial.Polynomial.fit(XX, f(XX), len(XX)-1)    \\n\",\n    \"        ax.plot([X[n], X[n]], [0, f(X[n])], 'b')\\n\",\n    \"        ax.plot([X[n+1], X[n+1]], [0, f(X[n+1])], 'b')\\n\",\n    \"        XXX = np.linspace(X[n], X[n+1], 50)\\n\",\n    \"        ax.plot(XXX, f_interp(XXX), 'b')\\n\",\n    \"        \\n\",\n    \"        F = f_interp.integ()\\n\",\n    \"        i += F(X[n+1]) - F(X[n])\\n\",\n    \"    ax.text(-1, 5.5, r'$\\\\int_a^{\\\\,b} f(x)dx \\\\approx %f$' % i, fontsize=18)\\n\",\n    \"    ax.plot(X, f(X), 'ro')\\n\",\n    \"    ax.set_xlabel(r'$x$', fontsize=18)\\n\",\n    \"    ax.set_ylabel(r'$f(x)$', fontsize=18)\\n\",\n    \"    ax.set_xlim(xx.min(), xx.max())\\n\",\n    \"    ax.set_title(names[idx])\\n\",\n    \"    ax.set_xticks([-1, 0, 1])\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"####\\n\",\n    \"ax1, ax2, ax3 = ax1_5, ax2_5, ax3_5\\n\",\n    \"npoints = 2\\n\",\n    \"npoints = 5\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"X = np.linspace(a, b, npoints)\\n\",\n    \"\\n\",\n    \"ax1.plot(xx, f(xx), lw=1, color='k')\\n\",\n    \"ax1.fill_between(x, f(x), color='lightgreen', alpha=0.9)\\n\",\n    \"\\n\",\n    \"i = 0 # (b-a)*f_mid\\n\",\n    \"for n in range(len(X) - 1):\\n\",\n    \"    f_mid = f(X[n:n+2].mean())\\n\",\n    \"    ax1.plot([X[n], X[n]], [0, f_mid], 'b')\\n\",\n    \"    ax1.plot([X[n+1], X[n+1]], [0, f_mid], 'b')\\n\",\n    \"    ax1.plot(X[n:n+2], [f_mid] * 2, 'b')\\n\",\n    \"    ax1.plot(X[n:n+2].mean(), f_mid, 'xk')\\n\",\n    \"    \\n\",\n    \"    i += (X[n+1]-X[n])*f_mid\\n\",\n    \"\\n\",\n    \"#i = (b-a)*f_mid\\n\",\n    \"ax1.text(-1, 5.5, r'$\\\\int_{\\\\,a}^{\\\\,b} f(x)dx \\\\approx %f$' % i, fontsize=18)\\n\",\n    \"ax1.plot(X, f(X), 'ro')\\n\",\n    \"ax1.set_xlim(xx.min(), xx.max())\\n\",\n    \"#ax1.set_title('Mid-point rule')\\n\",\n    \"ax1.set_xticks([-1, 0, 1])\\n\",\n    \"ax1.set_xlabel(r'$x$', fontsize=18)\\n\",\n    \"ax1.set_ylabel(r'$f(x)$', fontsize=18)\\n\",\n    \"\\n\",\n    \"names = [\\\"Trapezoid rule\\\", \\\"Simpson's rule\\\"]\\n\",\n    \"for idx, ax in enumerate([ax2, ax3]):\\n\",\n    \"    ax.plot(xx, f(xx), lw=1, color='k')\\n\",\n    \"    ax.fill_between(x, f(x), color='lightgreen', alpha=0.9)\\n\",\n    \"\\n\",\n    \"    i = 0\\n\",\n    \"    for n in range(len(X) - 1):\\n\",\n    \"        XX = np.linspace(X[n], X[n+1], idx+2)\\n\",\n    \"\\n\",\n    \"        f_interp = polynomial.Polynomial.fit(XX, f(XX), len(XX)-1)    \\n\",\n    \"        ax.plot([X[n], X[n]], [0, f(X[n])], 'b')\\n\",\n    \"        ax.plot([X[n+1], X[n+1]], [0, f(X[n+1])], 'b')\\n\",\n    \"        XXX = np.linspace(X[n], X[n+1], 50)\\n\",\n    \"        ax.plot(XXX, f_interp(XXX), 'b')\\n\",\n    \"        \\n\",\n    \"        F = f_interp.integ()\\n\",\n    \"        i += F(X[n+1]) - F(X[n])\\n\",\n    \"    ax.text(-1, 5.5, r'$\\\\int_a^{\\\\,b} f(x)dx \\\\approx %f$' % i, fontsize=18)\\n\",\n    \"    ax.plot(X, f(X), 'ro')\\n\",\n    \"    ax.set_xlabel(r'$x$', fontsize=18)\\n\",\n    \"    ax.set_ylabel(r'$f(x)$', fontsize=18)\\n\",\n    \"    ax.set_xlim(xx.min(), xx.max())\\n\",\n    \"    #ax.set_title(names[idx])\\n\",\n    \"    ax.set_xticks([-1, 0, 1])\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch8-quadrature-rules-%d.pdf' % npoints)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"6.0\"\n      ]\n     },\n     \"execution_count\": 18,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# mid-point rule\\n\",\n    \"(b-a) * f((b+a)/2.0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"10.0\"\n      ]\n     },\n     \"execution_count\": 19,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# trapezoid rule\\n\",\n    \"(b-a)/2.0 * (f(a) + f(b))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"7.333333333333333\"\n      ]\n     },\n     \"execution_count\": 20,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# simpsons rule\\n\",\n    \"(b-a)/6.0 * (f(a) + 4 * f((a+b)/2.0) + f(b))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"7.066666666666667\"\n      ]\n     },\n     \"execution_count\": 21,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# exact result\\n\",\n    \"integrate.quad(f, a, b)[0]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"7.3125\"\n      ]\n     },\n     \"execution_count\": 22,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"integrate.trapz(f(X), X)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"7.083333333333332\"\n      ]\n     },\n     \"execution_count\": 23,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"integrate.simps(f(X), X)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"7.066666666666666\"\n      ]\n     },\n     \"execution_count\": 24,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"integrate.quadrature(f, a, b)[0]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"7.066666666666666\"\n      ]\n     },\n     \"execution_count\": 25,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"integrate.romberg(f, a, b)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0.33333333, 1.33333333, 0.33333333])\"\n      ]\n     },\n     \"execution_count\": 26,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"integrate.newton_cotes(2)[0]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots()\\n\",\n    \"\\n\",\n    \"ax.fill_between(x, f(x), alpha=0.25)\\n\",\n    \"ax.plot(X, f(X), 'ro')\\n\",\n    \"\\n\",\n    \"for n in range(len(X) - 1):\\n\",\n    \"    f_mid = f(X[n:n+2].mean())\\n\",\n    \"    ax.plot([X[n], X[n]], [0, f_mid], 'k')\\n\",\n    \"    ax.plot([X[n+1], X[n+1]], [0, f_mid], 'k')\\n\",\n    \"    ax.plot(X[n:n+2], [f_mid] * 2, 'k')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots()\\n\",\n    \"\\n\",\n    \"ax.fill_between(x, f(x), alpha=0.25)\\n\",\n    \"ax.plot(X, f(X), 'ro')\\n\",\n    \"\\n\",\n    \"for n in range(len(X) - 1):\\n\",\n    \"    f_mid = f(X[n:n+2].mean())\\n\",\n    \"    ax.plot([X[n], X[n]], [0, f(X[n])], 'k')\\n\",\n    \"    ax.plot([X[n+1], X[n+1]], [0, f(X[n+1])], 'k')\\n\",\n    \"    ax.plot(X[n:n+2], [f(X[n]), f(X[n+1])], 'k')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": []\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"npbook_py310\",\n   \"language\": \"python\",\n   \"name\": \"npbook_py310\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "ch09-code-listing.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Chapter 9: Ordinary differential equations\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%matplotlib inline\\n\",\n    \"%config InlineBackend.figure_format='retina'\\n\",\n    \"import matplotlib.pyplot as plt\\n\",\n    \"import matplotlib as mpl\\n\",\n    \"# mpl.rcParams['text.usetex'] = True\\n\",\n    \"mpl.rcParams['mathtext.fontset'] = 'stix'\\n\",\n    \"mpl.rcParams['font.family'] = 'serif'\\n\",\n    \"mpl.rcParams['font.sans-serif'] = 'stix'\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import sympy\\n\",\n    \"sympy.init_printing()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from scipy import integrate\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Symbolic ODE solving with SymPy\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Newton's law of cooling\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"t, k, T0, Ta = sympy.symbols(\\\"t, k, T_0, T_a\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"T = sympy.Function(\\\"T\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ode = T(t).diff(t) + k*(T(t) - Ta)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle k \\\\left(- T_{a} + T{\\\\left(t \\\\right)}\\\\right) + \\\\frac{d}{d t} T{\\\\left(t \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"                 d       \\n\",\n       \"k⋅(-Tₐ + T(t)) + ──(T(t))\\n\",\n       \"                 dt      \"\n      ]\n     },\n     \"execution_count\": 8,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ode\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ode_sol = sympy.dsolve(ode)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle T{\\\\left(t \\\\right)} = C_{1} e^{- k t} + T_{a}$\"\n      ],\n      \"text/plain\": [\n       \"           -k⋅t     \\n\",\n       \"T(t) = C₁⋅ℯ     + Tₐ\"\n      ]\n     },\n     \"execution_count\": 10,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ode_sol\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle T{\\\\left(t \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"T(t)\"\n      ]\n     },\n     \"execution_count\": 11,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ode_sol.lhs\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle C_{1} e^{- k t} + T_{a}$\"\n      ],\n      \"text/plain\": [\n       \"    -k⋅t     \\n\",\n       \"C₁⋅ℯ     + Tₐ\"\n      ]\n     },\n     \"execution_count\": 12,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ode_sol.rhs\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ics = {T(0): T0}\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left\\\\{ T{\\\\left(0 \\\\right)} : T_{0}\\\\right\\\\}$\"\n      ],\n      \"text/plain\": [\n       \"{T(0): T₀}\"\n      ]\n     },\n     \"execution_count\": 14,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ics\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"C_eq = ode_sol.subs(t, 0).subs(ics)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle T_{0} = C_{1} + T_{a}$\"\n      ],\n      \"text/plain\": [\n       \"T₀ = C₁ + Tₐ\"\n      ]\n     },\n     \"execution_count\": 16,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"C_eq\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"C_sol = sympy.solve(C_eq)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[ \\\\left\\\\{ C_{1} : T_{0} - T_{a}\\\\right\\\\}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"[{C₁: T₀ - Tₐ}]\"\n      ]\n     },\n     \"execution_count\": 18,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"C_sol\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle T{\\\\left(t \\\\right)} = T_{a} + \\\\left(T_{0} - T_{a}\\\\right) e^{- k t}$\"\n      ],\n      \"text/plain\": [\n       \"                       -k⋅t\\n\",\n       \"T(t) = Tₐ + (T₀ - Tₐ)⋅ℯ    \"\n      ]\n     },\n     \"execution_count\": 19,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ode_sol.subs(C_sol[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Function for applying initial conditions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def apply_ics(sol, ics, x, known_params):\\n\",\n    \"    \\\"\\\"\\\"\\n\",\n    \"    Apply the initial conditions (ics), given as a dictionary on\\n\",\n    \"    the form ics = {y(0): y0: y(x).diff(x).subs(x, 0): yp0, ...}\\n\",\n    \"    to the solution of the ODE with indepdendent variable x.\\n\",\n    \"    The undetermined integration constants C1, C2, ... are extracted\\n\",\n    \"    from the free symbols of the ODE solution, excluding symbols in\\n\",\n    \"    the known_params list.\\n\",\n    \"    \\\"\\\"\\\"\\n\",\n    \"    free_params = sol.free_symbols - set(known_params)\\n\",\n    \"    eqs = [(sol.lhs - sol.rhs).diff(x, n).subs(x, 0).subs(ics)\\n\",\n    \"           for n in range(len(ics))]\\n\",\n    \"    sol_params = sympy.solve(eqs, free_params)\\n\",\n    \"    return sol.subs(sol_params)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle T{\\\\left(t \\\\right)} = C_{1} e^{- k t} + T_{a}$\"\n      ],\n      \"text/plain\": [\n       \"           -k⋅t     \\n\",\n       \"T(t) = C₁⋅ℯ     + Tₐ\"\n      ]\n     },\n     \"execution_count\": 25,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ode_sol\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle T{\\\\left(t \\\\right)} = T_{a} + \\\\left(T_{0} - T_{a}\\\\right) e^{- k t}$\"\n      ],\n      \"text/plain\": [\n       \"                       -k⋅t\\n\",\n       \"T(t) = Tₐ + (T₀ - Tₐ)⋅ℯ    \"\n      ]\n     },\n     \"execution_count\": 26,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"apply_ics(ode_sol, ics, t, [k, Ta])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ode_sol = apply_ics(ode_sol, ics, t, [k, Ta]).simplify()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle T{\\\\left(t \\\\right)} = \\\\left(T_{0} + T_{a} e^{k t} - T_{a}\\\\right) e^{- k t}$\"\n      ],\n      \"text/plain\": [\n       \"       ⎛         k⋅t     ⎞  -k⋅t\\n\",\n       \"T(t) = ⎝T₀ + Tₐ⋅ℯ    - Tₐ⎠⋅ℯ    \"\n      ]\n     },\n     \"execution_count\": 28,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ode_sol\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y_x = sympy.lambdify((t, k), ode_sol.rhs.subs({T0: 5, Ta: 1}), 'numpy')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 390,\n       \"width\": 791\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"x = np.linspace(0, 4, 100)\\n\",\n    \"\\n\",\n    \"for k in [1, 2, 3]:\\n\",\n    \"    ax.plot(x, y_x(x, k), label=r\\\"$k=%d$\\\" % k)\\n\",\n    \"\\n\",\n    \"ax.set_title(r\\\"$%s$\\\" % sympy.latex(ode_sol), fontsize=18)\\n\",\n    \"ax.set_xlabel(r\\\"$x$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(r\\\"$y$\\\", fontsize=18)\\n\",\n    \"ax.legend()\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Damped harmonic oscillator\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"t, omega0 = sympy.symbols(\\\"t, omega_0\\\", positive=True)\\n\",\n    \"gamma = sympy.symbols(\\\"gamma\\\", complex=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 32,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = sympy.Function(\\\"x\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 33,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ode = x(t).diff(t, 2) + 2 * gamma * omega0 * x(t).diff(t) + omega0**2 * x(t)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 34,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 2 \\\\gamma \\\\omega_{0} \\\\frac{d}{d t} x{\\\\left(t \\\\right)} + \\\\omega_{0}^{2} x{\\\\left(t \\\\right)} + \\\\frac{d^{2}}{d t^{2}} x{\\\\left(t \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"                               2      \\n\",\n       \"       d            2         d       \\n\",\n       \"2⋅γ⋅ω₀⋅──(x(t)) + ω₀ ⋅x(t) + ───(x(t))\\n\",\n       \"       dt                      2      \\n\",\n       \"                             dt       \"\n      ]\n     },\n     \"execution_count\": 34,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ode\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 35,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ode_sol = sympy.dsolve(ode)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 36,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle x{\\\\left(t \\\\right)} = C_{1} e^{\\\\omega_{0} t \\\\left(- \\\\gamma + \\\\sqrt{\\\\gamma^{2} - 1}\\\\right)} + C_{2} e^{- \\\\omega_{0} t \\\\left(\\\\gamma + \\\\sqrt{\\\\gamma^{2} - 1}\\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"                ⎛        ________⎞             ⎛       ________⎞\\n\",\n       \"                ⎜       ╱  2     ⎟             ⎜      ╱  2     ⎟\\n\",\n       \"           ω₀⋅t⋅⎝-γ + ╲╱  γ  - 1 ⎠       -ω₀⋅t⋅⎝γ + ╲╱  γ  - 1 ⎠\\n\",\n       \"x(t) = C₁⋅ℯ                        + C₂⋅ℯ                       \"\n      ]\n     },\n     \"execution_count\": 36,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ode_sol\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 37,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ics = {x(0): 1, x(t).diff(t).subs(t, 0): 0}\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 38,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAOkAAAA1CAYAAACky8y3AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAME0lEQVR4Ae2dSY4VORCGC1QrVgw3oG/AsG8JuAHQJwBuAGLHrgQ3AE4A9A0AqfcMN4A+AdW1Rkj0/7lsl9N25svxZeZ7DskvPYTD4QiH58x37vfv3wcFigTmksCzZ89eyj2aq/w1lHu4iUkJ8KpwXoIn/51N+CW9SKCjBO4Lf++MVLZ0TfX+KHck/4smmZ1vSlTmx0r/ZnHuNeGWtCKBIoH2EpBtfRU2NvVU/m9yDIZZOFc33VWm58qBkT6S/1U2d4mcVQLSC73xazkU/Fbh1Y1I4vk/uUuzCnLGwlX3iyqeERUdXlf4e8xOdiQV4m0hYqCv5C8GGkttIWHp5qvcdbGDot8vhK3CRgcJSH8nQr9ls5hlZZw9a6RCegKiCKyuZ44ruOth6YgOFfhw+ii/a5OANVQGw9vyMzuqQJ2Rovii9IqoFhtgM++7VfRimSyMbZTAG4vhOl2fITFSKZupE8AwXGD5Eigd6vJ11IZDZ29/xMiHcUQQPg78xbsACagDvSo2WIqg0B9yzHaYHh3JFVi3BGrtrclI113lHeNeBsqI+U7O7wAqzm0WlaXJjuk7rE4y3Q0Ti38ZErBLEAz0ifzhFj1+dnjdVGkZDBcuRpVAMdJRxTkZMc6sL8q9jUoo69FIILsYLEa6Dq1yde5DOGLa0ZU1qpvyrqMmKZcX0qgSE0qgGGkojQX6rTEyinKNLAQM90Dpa1+P/gwrVfypBIqRpjJZasyniDHufRrDlaHelWNUXSP8WiPT2+R5diPt07j65NmmUMcsS3VlUwhj9EaouIc2/NmWdVNx4YaSjR7/0Ub2bXDG52x3Kc5qpFIm94OTa1AtxH3V5m2BuhMo3O3EEB/LsYmEcXLT6LKVg7utoqjpwJbVRl/7pp/phC7Ks52TSuF3Vf4VPZN36RRHQwQ4sOcGxnPF+ZFCfjZRrskxzfsbxCmBskTfnVFu/bhD5VNm7lXBXNwkokDWIpzVV1ygcLeqn7j8ucOqf2P77crfLCOpKsFGCO/RmYv8IdOK+6LwJ9LkMGBw3svvp3vg2zRoQGt0gK7cOzneTHCvg41ezhoIWhnX6Qs5Je9DKg7dTaafpcpN9W7VfrvwP4uRikF6muS1HFWQtRZK96Oj/IwihBN8G+d6LQXHA8qVuyfHm0BvxqO8SkpZfdmacFbL9NbPdIIaorNJ9BOUsRivZNC1/eZ4vxxH5ozUjVgYx1RwXxXKvafqdyyjgtnZ5DWeyqhpaUCrEh/lLcHhEqjTF5RZG8fHQ6bEPdRPp/ZrhGR/JCtnb0lbzhkpPSMwySG5mIF+rtelTNKO8UTgKuB4C5OhZc4Mw8jiH0cCG/RFIeik6ax2n/TTp/2GiqKzS9r4YYhh/U/15P3EJsH7bMLD8hnmgZtyD+QYjf+SA1hf+umrwvQ2CW1LB/wmSKYCQoYWvXluZE5oqRy+2cTGxl6+0G7lPEhfokFDQn7oHl2zicfGGrqONwI76Uc0FgWqT6v2IrxkBMxUJNd+QzTeZmIf5KGcb8+VkVQJbt1Ho28L7Ly+wCkD01I2WZiasuED4/Ga5Ibi3MfN5PXgKnDiY848bnTNCQJaNJSNIJ7IDy487CsM1pfkSCdHZ2vai/x3CMvFBoqMW+tnaQpRfbq0l77t11db5TGYYZwv5fdt+rzDUCQCZ9p4S/666ahDN0/h0SPHRshWvRs5YTxOp+LO6OTtBFcy2NDKGW+CKn5PFHlJT74LtHcwgb5q16OBcFvrJ8izCO8E7SXXfit1VZnMUDDUL/Kbqe+hPDRwto3pHbt+te2z8oQGbZTm4vSkt40Bw8VYYmgyXNdLcW4aA+X7XidOjMPiKVd2jDZrWDyO9sVy0ToXVGZMfUGWRuQ65KCYineTfv6pYC8s0KG99G2/SY1VJl/oZE+Iqe9RZU2qCI4/Wjdi4X6NSkBpydlnhJMNUq4caXQaMbi4sENwOHVG79JX95QcQsMajf+R9YVO6Bw3bTBu0s+fo1VwRkID2m8d19ihMfzzlrj7rsq/Cl+ry9UUr3wYKOB7VsVh9M7ATlNPd3bjOJfGJkNuVHQjabLhJHxoNfVijnZ5BhIYQV9mXS86XicZXVPiPumnT/sNtHLqlRxZerIRZ9b54ZqUufBbuY9CyhmKks4AhchxE8gZJ/kPFA5HO26cnJzlMj4Mqo4+jOU2dVhD1n2BAAMOy1Rwu6A61nU622WkoTR4lBtTX5X1qGizF+E605CT2fUTMjOxv0/7rbAkObKHw14Pe0NmpuqNFExFYmgYEYVtAowTd6x8rrf0Bqk40j5liFAwRzUJKA8LZuihcAOWNhtaD2xU/MCAN025TB5oyf2WYw0+Clj++Ar7aDRHYSwlMra+6GhN52hlUHfrqLV+UpbnjaFecq3bi3D7tF9fSeVHR7x0wprUGCiJFSMlQsBQy7kXGZqAoR2mwHsofAz8gZ5sH9MTUEE/9VXYAQZ1zQUyT5Tq3viA4ddyvlfJ4FN+rpwEVfzQidCwPieJmQjhs3CH36c2mR034uDLgPyOJvWls1oqjK0vc8SmOqNrbiTljl+QRWv9LE1wgW5btRfLf9f2G1bb7OeoXOzKQ/JfMELAgBgVOPvstQnkqdd4RJezM+bbvreoQW2MVn56c6Zwbk3diD9lonhg9GeH3M8mpihP9NEPHRd138r/v6jMXvpSvo36Ec5e/xdM2EYkC3b1WdZh6B4Ove/M49Z3U44KzLsZec069qzozj46kfgctjORkTIw+rca0YeUpzLo2PisJwpllPegOHRGB8vlAqdHnz7A01dfS9LPgOpPn9XqjoISveWmu5NzJIYYzlnD0NP2ApsXGpWpQS9iAzOJB4zjx0AyrbOrPKaQgN9ZPQ2aqWXd2tCidH9YGXfSl/Kg20Xop3uNZ81xHJc+i5FaJvy1spiplmHWzrnLEi2zj4rWtCYbtSBLjJ3V3P+/VHZcRy64q76WpJ+RRbFdcrMZqXpa1m7sYrHx0AlsHvJCY3YQH9sezRlJ41EUOdTFD5aRlXUrfS1NP4MrPzOB3Jp0ayxJmcy/OzfwGYxiazKJC1JdmTaytqNDYkqNcbJ5dCR3oHQMk7U9U25wm95IUXJ/UFmt9CW8zjrtz9Xu55zVSHdfvMNqaA2QM+va/38RDkbLrjK7y7f1ZMq7JriwJmbn4HW26e4clV1TmTI2RkYMtO3/v0y5Hp1SdD+nJL4LtIuRLleLHHtgqFzVDKFu3VkXH+Zdov/XEplaEk/FSJekjSovXIWsXI6wo+tVxefOR5P4KrkSWqsEipEuUHPWGBlF4xtZGO6B0uOd3RtxvKVBdIGVS6AY6bIVGL+gwFmlMVwZYfj/L5X1KGnCu7zsqhXu2kqgaXe3KLmtFEfGk5GdyGGMTGENKMx5MmE3iobXEIk318mEZ45i9Jz8iqJhbMIf1YErjtzxTq7KdSlW+d3VUY6w+Ar/JHfSu/DUBbeMpF2ktV3cLv//QqPjLZxNb6RstwYDSlNd6Gw48x3DQH9gmHK8qcMLGZU1/QA2x8xaOygmI6kqQC9O4QipwEwSQA8qOnftMYkTLg15beejmyTLbnW8Jt+UJ5dOx0WHZ0CyYjMOQx39jrMro+fT2Rt6r0DdSMqUioNxl7GSqQSKBKaSgDUepqdmiqownyDlhlVngJYy0Ybjhk+4F83OTLTPQKcEvDl9nP0mI6lNYvrEeoCXnVc1f7f8l8dKJSDDYlbA1JRGe6SnX1vLz6V9DG8T8GI+VxPdIHMcZSBcO72McCcPilf4xNZ4lzSZPWSNFEQ55u+P9fwk5wU1OcelgCKBUwkw0rlNMhOjdjj0/WMnWwzUGbCLm+WpOsHHR1t4spQhvm66e6DMjKA4eiV6sAJFAluRgNoboyh7IycDC3T541ETwxi0ITWQL5Pd1pMZK/z4+9kx7exI6pBEhE+oMIry3SIW27u2OeGqWp7zScBv6gQs+FFUbY4GfFlP3p/tNN21eTBUaMSQTCtjhCnD4o06cjebKT2z1lpoNFJyUVE9inHWirAkDJGA2lfOWPhmlbvIwWdhzb6Inn2mu6xNGZlNOaJh/HrOOpKqfPhp9Y8RyYfIlLFAkcCsErCGxPqMqSB/jZEz5NY8Kn94mYEOgI0pRthVwP9RvoCT3dYIUQAAAABJRU5ErkJggg==\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left\\\\{ x{\\\\left(0 \\\\right)} : 1, \\\\  \\\\left. \\\\frac{d}{d t} x{\\\\left(t \\\\right)} \\\\right|_{\\\\substack{ t=0 }} : 0\\\\right\\\\}$\"\n      ],\n      \"text/plain\": [\n       \"⎧         ⎛d       ⎞│      ⎫\\n\",\n       \"⎨x(0): 1, ⎜──(x(t))⎟│   : 0⎬\\n\",\n       \"⎩         ⎝dt      ⎠│t=0   ⎭\"\n      ]\n     },\n     \"execution_count\": 38,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ics\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 39,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x_t_sol = apply_ics(ode_sol, ics, t, [omega0, gamma])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 40,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle x{\\\\left(t \\\\right)} = \\\\left(- \\\\frac{\\\\gamma}{2 \\\\sqrt{\\\\gamma^{2} - 1}} + \\\\frac{1}{2}\\\\right) e^{- \\\\omega_{0} t \\\\left(\\\\gamma + \\\\sqrt{\\\\gamma^{2} - 1}\\\\right)} + \\\\left(\\\\frac{\\\\gamma}{2 \\\\sqrt{\\\\gamma^{2} - 1}} + \\\\frac{1}{2}\\\\right) e^{\\\\omega_{0} t \\\\left(- \\\\gamma + \\\\sqrt{\\\\gamma^{2} - 1}\\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"                                    ⎛       ________⎞                             ⎛        ________⎞\\n\",\n       \"                                    ⎜      ╱  2     ⎟                             ⎜       ╱  2     ⎟\\n\",\n       \"       ⎛        γ         1⎞  -ω₀⋅t⋅⎝γ + ╲╱  γ  - 1 ⎠   ⎛      γ         1⎞  ω₀⋅t⋅⎝-γ + ╲╱  γ  - 1 ⎠\\n\",\n       \"x(t) = ⎜- ───────────── + ─⎟⋅ℯ                        + ⎜───────────── + ─⎟⋅ℯ                       \\n\",\n       \"       ⎜       ________   2⎟                            ⎜     ________   2⎟                         \\n\",\n       \"       ⎜      ╱  2         ⎟                            ⎜    ╱  2         ⎟                         \\n\",\n       \"       ⎝  2⋅╲╱  γ  - 1     ⎠                            ⎝2⋅╲╱  γ  - 1     ⎠                         \"\n      ]\n     },\n     \"execution_count\": 40,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x_t_sol\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 41,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x_t_critical = sympy.limit(x_t_sol.rhs, gamma, 1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 42,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left(\\\\omega_{0} t + 1\\\\right) e^{- \\\\omega_{0} t}$\"\n      ],\n      \"text/plain\": [\n       \"            -ω₀⋅t\\n\",\n       \"(ω₀⋅t + 1)⋅ℯ     \"\n      ]\n     },\n     \"execution_count\": 42,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x_t_critical\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 43,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 391,\n       \"width\": 788\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"tt = np.linspace(0, 3, 250)\\n\",\n    \"for g in [0.1, 0.5, 1, 2.0, 5.0]:\\n\",\n    \"    if g == 1:\\n\",\n    \"        expr = x_t_critical.subs({omega0: 2.0 * sympy.pi})\\n\",\n    \"    else:\\n\",\n    \"        expr = x_t_sol.rhs.subs({omega0: 2.0 * sympy.pi, gamma: g})\\n\",\n    \"    x_t = sympy.lambdify(t, expr, 'numpy')\\n\",\n    \"    ax.plot(tt, x_t(tt).real, label=r\\\"$\\\\gamma = %.1f$\\\" % g)\\n\",\n    \"\\n\",\n    \"ax.set_xlabel(r\\\"$t$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(r\\\"$x(t)$\\\", fontsize=18)\\n\",\n    \"ax.set_xlim(0, 3)\\n\",\n    \"ax.legend()\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch9-harmonic-oscillator.pdf')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 44,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 391,\n       \"width\": 788\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"tt = np.linspace(0, 3, 250)\\n\",\n    \"for g in [0.1, 0.5, 1, 2.0, 5.0]:\\n\",\n    \"    if g == 1:\\n\",\n    \"        x_t = sympy.lambdify(t, x_t_critical.subs({omega0: 2.0 * sympy.pi}), 'numpy')\\n\",\n    \"    else:\\n\",\n    \"        x_t = sympy.lambdify(t, x_t_sol.rhs.subs({omega0: 2.0 * sympy.pi, gamma: g}), 'numpy')\\n\",\n    \"    ax.plot(tt, x_t(tt).real, label=r\\\"$\\\\gamma = %.1f$\\\" % g)\\n\",\n    \"\\n\",\n    \"ax.set_xlabel(r\\\"$t$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(r\\\"$x(t)$\\\", fontsize=18)\\n\",\n    \"ax.set_xlim(0, 3)\\n\",\n    \"ax.legend()\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch9-harmonic-oscillator.pdf')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 45,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"# example of equation that sympy cannot solve\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 46,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = sympy.symbols(\\\"x\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 47,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"y = sympy.Function(\\\"y\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 48,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"f = y(x)**2 + x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 49,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{d^{2}}{d x^{2}} y{\\\\left(x \\\\right)} = x + y^{2}{\\\\left(x \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"  2                  \\n\",\n       \" d               2   \\n\",\n       \"───(y(x)) = x + y (x)\\n\",\n       \"  2                  \\n\",\n       \"dx                   \"\n      ]\n     },\n     \"execution_count\": 49,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.Eq(y(x).diff(x, x), f)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 51,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"ename\": \"NotImplementedError\",\n     \"evalue\": \"solve: Cannot solve -x - y(x)**2 + Derivative(y(x), (x, 2))\",\n     \"output_type\": \"error\",\n     \"traceback\": [\n      \"\\u001b[0;31m---------------------------------------------------------------------------\\u001b[0m\",\n      \"\\u001b[0;31mNotImplementedError\\u001b[0m                       Traceback (most recent call last)\",\n      \"Cell \\u001b[0;32mIn[51], line 2\\u001b[0m\\n\\u001b[1;32m      1\\u001b[0m \\u001b[38;5;66;03m# sympy is unable to solve this differential equation\\u001b[39;00m\\n\\u001b[0;32m----> 2\\u001b[0m \\u001b[43msympy\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mdsolve\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43my\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mx\\u001b[49m\\u001b[43m)\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mdiff\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mx\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mx\\u001b[49m\\u001b[43m)\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m-\\u001b[39;49m\\u001b[43m \\u001b[49m\\u001b[43mf\\u001b[49m\\u001b[43m)\\u001b[49m\\n\",\n      \"File \\u001b[0;32m~/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/sympy/solvers/ode/ode.py:605\\u001b[0m, in \\u001b[0;36mdsolve\\u001b[0;34m(eq, func, hint, simplify, ics, xi, eta, x0, n, **kwargs)\\u001b[0m\\n\\u001b[1;32m    602\\u001b[0m given_hint \\u001b[38;5;241m=\\u001b[39m hint  \\u001b[38;5;66;03m# hint given by the user\\u001b[39;00m\\n\\u001b[1;32m    604\\u001b[0m \\u001b[38;5;66;03m# See the docstring of _desolve for more details.\\u001b[39;00m\\n\\u001b[0;32m--> 605\\u001b[0m hints \\u001b[38;5;241m=\\u001b[39m \\u001b[43m_desolve\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43meq\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mfunc\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mfunc\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m    606\\u001b[0m \\u001b[43m    \\u001b[49m\\u001b[43mhint\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mhint\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43msimplify\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;28;43;01mTrue\\u001b[39;49;00m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mxi\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mxi\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43meta\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43meta\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;28;43mtype\\u001b[39;49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[38;5;124;43m'\\u001b[39;49m\\u001b[38;5;124;43mode\\u001b[39;49m\\u001b[38;5;124;43m'\\u001b[39;49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mics\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mics\\u001b[49m\\u001b[43m,\\u001b[49m\\n\\u001b[1;32m    607\\u001b[0m \\u001b[43m    \\u001b[49m\\u001b[43mx0\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mx0\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[43mn\\u001b[49m\\u001b[38;5;241;43m=\\u001b[39;49m\\u001b[43mn\\u001b[49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[38;5;241;43m*\\u001b[39;49m\\u001b[43mkwargs\\u001b[49m\\u001b[43m)\\u001b[49m\\n\\u001b[1;32m    608\\u001b[0m eq \\u001b[38;5;241m=\\u001b[39m hints\\u001b[38;5;241m.\\u001b[39mpop(\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124meq\\u001b[39m\\u001b[38;5;124m'\\u001b[39m, eq)\\n\\u001b[1;32m    609\\u001b[0m all_ \\u001b[38;5;241m=\\u001b[39m hints\\u001b[38;5;241m.\\u001b[39mpop(\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124mall\\u001b[39m\\u001b[38;5;124m'\\u001b[39m, \\u001b[38;5;28;01mFalse\\u001b[39;00m)\\n\",\n      \"File \\u001b[0;32m~/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/sympy/solvers/deutils.py:241\\u001b[0m, in \\u001b[0;36m_desolve\\u001b[0;34m(eq, func, hint, ics, simplify, prep, **kwargs)\\u001b[0m\\n\\u001b[1;32m    238\\u001b[0m         \\u001b[38;5;28;01mraise\\u001b[39;00m \\u001b[38;5;167;01mValueError\\u001b[39;00m(\\n\\u001b[1;32m    239\\u001b[0m             \\u001b[38;5;28mstr\\u001b[39m(eq) \\u001b[38;5;241m+\\u001b[39m \\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124m is not a solvable differential equation in \\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m \\u001b[38;5;241m+\\u001b[39m \\u001b[38;5;28mstr\\u001b[39m(func))\\n\\u001b[1;32m    240\\u001b[0m     \\u001b[38;5;28;01melse\\u001b[39;00m:\\n\\u001b[0;32m--> 241\\u001b[0m         \\u001b[38;5;28;01mraise\\u001b[39;00m \\u001b[38;5;167;01mNotImplementedError\\u001b[39;00m(dummy \\u001b[38;5;241m+\\u001b[39m \\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124msolve\\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m \\u001b[38;5;241m+\\u001b[39m \\u001b[38;5;124m\\\"\\u001b[39m\\u001b[38;5;124m: Cannot solve \\u001b[39m\\u001b[38;5;124m\\\"\\u001b[39m \\u001b[38;5;241m+\\u001b[39m \\u001b[38;5;28mstr\\u001b[39m(eq))\\n\\u001b[1;32m    242\\u001b[0m \\u001b[38;5;28;01mif\\u001b[39;00m hint \\u001b[38;5;241m==\\u001b[39m \\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124mdefault\\u001b[39m\\u001b[38;5;124m'\\u001b[39m:\\n\\u001b[1;32m    243\\u001b[0m     \\u001b[38;5;28;01mreturn\\u001b[39;00m _desolve(eq, func, ics\\u001b[38;5;241m=\\u001b[39mics, hint\\u001b[38;5;241m=\\u001b[39mhints[\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124mdefault\\u001b[39m\\u001b[38;5;124m'\\u001b[39m], simplify\\u001b[38;5;241m=\\u001b[39msimplify,\\n\\u001b[1;32m    244\\u001b[0m                   prep\\u001b[38;5;241m=\\u001b[39mprep, x0\\u001b[38;5;241m=\\u001b[39mx0, classify\\u001b[38;5;241m=\\u001b[39m\\u001b[38;5;28;01mFalse\\u001b[39;00m, order\\u001b[38;5;241m=\\u001b[39mhints[\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124morder\\u001b[39m\\u001b[38;5;124m'\\u001b[39m],\\n\\u001b[1;32m    245\\u001b[0m                   match\\u001b[38;5;241m=\\u001b[39mhints[hints[\\u001b[38;5;124m'\\u001b[39m\\u001b[38;5;124mdefault\\u001b[39m\\u001b[38;5;124m'\\u001b[39m]], xi\\u001b[38;5;241m=\\u001b[39mxi, eta\\u001b[38;5;241m=\\u001b[39meta, n\\u001b[38;5;241m=\\u001b[39mterms, \\u001b[38;5;28mtype\\u001b[39m\\u001b[38;5;241m=\\u001b[39m\\u001b[38;5;28mtype\\u001b[39m)\\n\",\n      \"\\u001b[0;31mNotImplementedError\\u001b[0m: solve: Cannot solve -x - y(x)**2 + Derivative(y(x), (x, 2))\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"# sympy is unable to solve this differential equation exactly\\n\",\n    \"sympy.dsolve(y(x).diff(x, x) - f)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Direction fields\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 52,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def  plot_direction_field(x, y_x, f_xy, x_lim=(-5, 5), y_lim=(-5, 5), ax=None):\\n\",\n    \"    \\n\",\n    \"    f_np = sympy.lambdify((x, y_x), f_xy, 'numpy')\\n\",\n    \"    \\n\",\n    \"    x_vec = np.linspace(x_lim[0], x_lim[1], 20)\\n\",\n    \"    y_vec = np.linspace(y_lim[0], y_lim[1], 20)\\n\",\n    \"    \\n\",\n    \"    if ax is None:\\n\",\n    \"        _, ax = plt.subplots(figsize=(4, 4))\\n\",\n    \"\\n\",\n    \"    dx = x_vec[1] - x_vec[0]\\n\",\n    \"    dy = y_vec[1] - y_vec[0]\\n\",\n    \"\\n\",\n    \"    for m, xx in enumerate(x_vec):\\n\",\n    \"        for n, yy in enumerate(y_vec):\\n\",\n    \"            Dy = f_np(xx, yy) * dx\\n\",\n    \"            Dx = 0.8 * dx**2 / np.sqrt(dx**2 + Dy**2)\\n\",\n    \"            Dy = 0.8 * Dy*dy / np.sqrt(dx**2 + Dy**2)\\n\",\n    \"            ax.plot([xx - Dx/2, xx + Dx/2],\\n\",\n    \"                    [yy - Dy/2, yy + Dy/2], 'b', lw=0.5)\\n\",\n    \"    ax.axis('tight')\\n\",\n    \"\\n\",\n    \"    ax.set_title(r\\\"$%s$\\\" %\\n\",\n    \"                 (sympy.latex(sympy.Eq(y(x).diff(x), f_xy))),\\n\",\n    \"                 fontsize=18)\\n\",\n    \"    \\n\",\n    \"    return ax\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 53,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = sympy.symbols(\\\"x\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 54,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y = sympy.Function(\\\"y\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 55,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 385,\n       \"width\": 1189\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 3, figsize=(12, 4))\\n\",\n    \"\\n\",\n    \"plot_direction_field(x, y(x), y(x)**2 + x, ax=axes[0])\\n\",\n    \"plot_direction_field(x, y(x), -x / y(x), ax=axes[1])\\n\",\n    \"plot_direction_field(x, y(x), y(x)**2 / x, ax=axes[2])\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch9-direction-field.pdf')\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Inexact solutions to ODEs\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 61,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = sympy.symbols(\\\"x\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 62,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y = sympy.Function(\\\"y\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 63,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f = y(x)**2 + x\\n\",\n    \"#f = sympy.cos(y(x)**2) + x\\n\",\n    \"#f = sympy.sqrt(y(x)) * sympy.cos(x**2)\\n\",\n    \"#f = y(x)**2 / x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 64,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{d}{d x} y{\\\\left(x \\\\right)} = x + y^{2}{\\\\left(x \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"d               2   \\n\",\n       \"──(y(x)) = x + y (x)\\n\",\n       \"dx                  \"\n      ]\n     },\n     \"execution_count\": 64,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.Eq(y(x).diff(x), f)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 65,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ics = {y(0): 0}\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 66,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle y{\\\\left(x \\\\right)} = \\\\frac{x^{2} \\\\cdot \\\\left(2 C_{1}^{3} + 1\\\\right)}{2} + \\\\frac{x^{5} \\\\cdot \\\\left(10 C_{1}^{3} \\\\cdot \\\\left(6 C_{1}^{3} + 1\\\\right) + 20 C_{1}^{3} + 3\\\\right)}{60} + C_{1} + \\\\frac{C_{1} x^{3} \\\\cdot \\\\left(3 C_{1}^{3} + 1\\\\right)}{3} + C_{1}^{2} x + \\\\frac{C_{1}^{2} x^{4} \\\\cdot \\\\left(12 C_{1}^{3} + 5\\\\right)}{12} + O\\\\left(x^{6}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"        2 ⎛    3    ⎞    5 ⎛     3 ⎛    3    ⎞        3    ⎞            3 ⎛    3    ⎞             2  4 ⎛     3    ⎞        \\n\",\n       \"       x ⋅⎝2⋅C₁  + 1⎠   x ⋅⎝10⋅C₁ ⋅⎝6⋅C₁  + 1⎠ + 20⋅C₁  + 3⎠        C₁⋅x ⋅⎝3⋅C₁  + 1⎠     2     C₁ ⋅x ⋅⎝12⋅C₁  + 5⎠    ⎛ 6⎞\\n\",\n       \"y(x) = ────────────── + ──────────────────────────────────── + C₁ + ───────────────── + C₁ ⋅x + ─────────────────── + O⎝x ⎠\\n\",\n       \"             2                           60                                 3                            12                \"\n      ]\n     },\n     \"execution_count\": 66,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.dsolve(y(x).diff(x) - f, hint='1st_power_series')  # use hint to get power series approximation\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 70,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ode_sol = sympy.dsolve(y(x).diff(x) - f, hint='1st_power_series')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 71,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle y{\\\\left(x \\\\right)} = \\\\frac{x^{2} \\\\cdot \\\\left(2 C_{1}^{3} + 1\\\\right)}{2} + \\\\frac{x^{5} \\\\cdot \\\\left(10 C_{1}^{3} \\\\cdot \\\\left(6 C_{1}^{3} + 1\\\\right) + 20 C_{1}^{3} + 3\\\\right)}{60} + C_{1} + \\\\frac{C_{1} x^{3} \\\\cdot \\\\left(3 C_{1}^{3} + 1\\\\right)}{3} + C_{1}^{2} x + \\\\frac{C_{1}^{2} x^{4} \\\\cdot \\\\left(12 C_{1}^{3} + 5\\\\right)}{12} + O\\\\left(x^{6}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"        2 ⎛    3    ⎞    5 ⎛     3 ⎛    3    ⎞        3    ⎞            3 ⎛    3    ⎞             2  4 ⎛     3    ⎞        \\n\",\n       \"       x ⋅⎝2⋅C₁  + 1⎠   x ⋅⎝10⋅C₁ ⋅⎝6⋅C₁  + 1⎠ + 20⋅C₁  + 3⎠        C₁⋅x ⋅⎝3⋅C₁  + 1⎠     2     C₁ ⋅x ⋅⎝12⋅C₁  + 5⎠    ⎛ 6⎞\\n\",\n       \"y(x) = ────────────── + ──────────────────────────────────── + C₁ + ───────────────── + C₁ ⋅x + ─────────────────── + O⎝x ⎠\\n\",\n       \"             2                           60                                 3                            12                \"\n      ]\n     },\n     \"execution_count\": 71,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ode_sol\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 72,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ode_sol = apply_ics(ode_sol, {y(0): 0}, x, [])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 73,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle y{\\\\left(x \\\\right)} = \\\\frac{x^{2}}{2} + \\\\frac{x^{5}}{20} + O\\\\left(x^{6}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"        2    5        \\n\",\n       \"       x    x     ⎛ 6⎞\\n\",\n       \"y(x) = ── + ── + O⎝x ⎠\\n\",\n       \"       2    20        \"\n      ]\n     },\n     \"execution_count\": 73,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ode_sol\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 74,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"('1st_rational_riccati', '1st_power_series', 'lie_group')\"\n      ]\n     },\n     \"execution_count\": 74,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.classify_ode(y(x).diff(x) - f)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 75,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ode_sol = sympy.dsolve(y(x).diff(x) - f, ics=ics, hint='1st_power_series')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 76,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle y{\\\\left(x \\\\right)} = \\\\frac{x^{2}}{2} + \\\\frac{x^{5}}{20} + O\\\\left(x^{6}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"        2    5        \\n\",\n       \"       x    x     ⎛ 6⎞\\n\",\n       \"y(x) = ── + ── + O⎝x ⎠\\n\",\n       \"       2    20        \"\n      ]\n     },\n     \"execution_count\": 76,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ode_sol\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 77,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 400x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 387,\n       \"width\": 389\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 1, figsize=(4, 4))\\n\",\n    \"\\n\",\n    \"axes = [0, axes]\\n\",\n    \"\\n\",\n    \"plot_direction_field(x, y(x), f, ax=axes[1])\\n\",\n    \"x_vec = np.linspace(-1, 1, 100)\\n\",\n    \"#axes[1].plot(x_vec, sympy.lambdify(x, ode_sol.rhs.removeO())(x_vec), 'b', lw=2)\\n\",\n    \"\\n\",\n    \"ode_sol_m = ode_sol_p = ode_sol\\n\",\n    \"dx = 0.125\\n\",\n    \"for x0 in np.arange(0, 2., dx):\\n\",\n    \"    x_vec = np.linspace(x0, x0 + dx, 100)\\n\",\n    \"    ics = {y(x0): ode_sol_p.rhs.removeO().subs(x, x0)}\\n\",\n    \"    ode_sol_p = sympy.dsolve(y(x).diff(x) - f, ics=ics, n=6, hint='1st_power_series')\\n\",\n    \"    axes[1].plot(x_vec, sympy.lambdify(x, ode_sol_p.rhs.removeO())(x_vec), 'r', lw=2)\\n\",\n    \"\\n\",\n    \"for x0 in np.arange(0, -5, -dx):\\n\",\n    \"    x_vec = np.linspace(x0, x0 - dx, 100)\\n\",\n    \"    ics = {y(x0): ode_sol_m.rhs.removeO().subs(x, x0)}\\n\",\n    \"    ode_sol_m = sympy.dsolve(y(x).diff(x) - f, ics=ics, n=6, hint='1st_power_series')\\n\",\n    \"    axes[1].plot(x_vec, sympy.lambdify(x, ode_sol_m.rhs.removeO())(x_vec), 'b', lw=2)\\n\",\n    \"\\n\",\n    \"axes[1].set_ylim(-4.75, 4.75)\\n\",\n    \"axes[1].set_ylim(-4.75, 4.75)\\n\",\n    \"    \\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch9-direction-field-and-approx-sol.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 78,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 387,\n       \"width\": 789\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 2, figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"plot_direction_field(x, y(x), f, ax=axes[0])\\n\",\n    \"x_vec = np.linspace(-3, 3, 100)\\n\",\n    \"axes[0].plot(x_vec, sympy.lambdify(x, ode_sol.rhs.removeO())(x_vec), 'b', lw=2)\\n\",\n    \"axes[0].set_ylim(-5, 5)\\n\",\n    \"\\n\",\n    \"plot_direction_field(x, y(x), f, ax=axes[1])\\n\",\n    \"x_vec = np.linspace(-1, 1, 100)\\n\",\n    \"axes[1].plot(x_vec, sympy.lambdify(x, ode_sol.rhs.removeO())(x_vec), 'b', lw=2)\\n\",\n    \"\\n\",\n    \"ode_sol_m = ode_sol_p = ode_sol\\n\",\n    \"dx = 0.125\\n\",\n    \"for x0 in np.arange(1, 2., dx):\\n\",\n    \"    x_vec = np.linspace(x0, x0 + dx, 100)\\n\",\n    \"    ics = {y(x0): ode_sol_p.rhs.removeO().subs(x, x0)}\\n\",\n    \"    ode_sol_p = sympy.dsolve(y(x).diff(x) - f, ics=ics, n=6, hint='1st_power_series')\\n\",\n    \"    axes[1].plot(x_vec, sympy.lambdify(x, ode_sol_p.rhs.removeO())(x_vec), 'r', lw=2)\\n\",\n    \"\\n\",\n    \"for x0 in np.arange(-1, -5, -dx):\\n\",\n    \"    x_vec = np.linspace(x0, x0 - dx, 100)\\n\",\n    \"    ics = {y(x0): ode_sol_m.rhs.removeO().subs(x, x0)}\\n\",\n    \"    ode_sol_m = sympy.dsolve(y(x).diff(x) - f, ics=ics, n=6, hint='1st_power_series')\\n\",\n    \"    axes[1].plot(x_vec, sympy.lambdify(x, ode_sol_m.rhs.removeO())(x_vec), 'r', lw=2)\\n\",\n    \"    \\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch9-direction-field-and-approx-sol.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Laplace transformation method\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 79,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"t = sympy.symbols(\\\"t\\\", positive=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 80,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"s, Y = sympy.symbols(\\\"s, Y\\\", real=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 81,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y = sympy.Function(\\\"y\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 82,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ode = y(t).diff(t, 2) + 2 * y(t).diff(t) + 10 * y(t) - 2 * sympy.sin(3*t)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 83,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAVQAAAAuCAYAAAB3XOGmAAAACXBIWXMAAA7EAAAOxAGVKw4bAAANwElEQVR4Ae2d75XUNhTFhz1bACEdhA4IVBDSASEVAB2Qwyf4xkk6IFQApIOECiB0EDogoQNyfxrJaDSyLduaHc34vXO8kvXn6fnKun6SNd5rX7582ZgYAoaAIdASAs+ePbsue554m77z4QOlf27JztSWyzTBzg0BQ8AQaACBX0Wej4Idir9Q/G8dN0Nai+FFi0aZTYaAIbB6BB6KRO9GKPyq+HdKuxWlNRc1Qm2uS8wgQ8AQEAJ4p+9PDYlrtoZ6al1m9h4bAe8lvZQdrO291nk3NT22bafYfgmeKoOHek9h01N+W0M9xTvQbD4qAhrUH2TA9wp5o/vnUY05g8bH8FQ+0/x7Or5v/XJtyt96D5l9TSKgQR7W9/5q0sATM6oPT6UzC8A75QHW9Bt+IDcPFRRMDIHpCPyoKh9PYZBPv7Sj1NjDM5CpQvI2CvFUPyv8eBQLCxo1Qi0AyYoYAhkE8FDNO80AMzNpB0+RJp4pW6V+8USKWtaqfyHSqhihttozZlczCPjBzUBmyvlJB0SKt/Rch8lEBArxZM8pm/sJO1Hdpl8AGqF2XWURQ2AfAQ1gPKc3OljDc1NNheFFlHmo+5ANppTiqXLfDCpqNNNeSjXaMWbW8RHQoMZDgkyZdsbrdsQ/KK35lyTHR/GrBWvA0wj1a39bzBBIEeDtMqT6OsnYWe9L8uy0H4Gzx9MItb/zLccQuC8I/oo9Ue9l8cIkTPsNpXIEzh5PI9Tym8FKrggBT5x4p2zijwVS2Cjf1k9jVEbia8HTCHXkRrDs1SPwLkHgJ507khVJ8FNIvFWTcgTOGs8mCbX0Ji0tV97X6yt5CAwPofOqe0bXwAsniLMjTKU99Ofhox13lBa/rKpuZimWpeWqG1ioUPY1gWeJuaVY5so1R6gy8rEuuvQTXXzOi/ImMxCYiPWUFs6lX37QRUOaj3XwQgUi5Vc7Nzx2rxQ/mEzsn1PA/Kh4lnTUUsx3vjYlZRBZ2HPHE2VPVIYbC2GDM19+4UOwVZ7S0sMHELiBi38NobIQKj8B/EPh0UTt48kEu28r/i/nSk/X4Ipt9DrZ2Iye34srFhSUvl6sfbthAzXriFwb/Vy8bqiyZ9svBfAuLjLUP33KW8G8z77W02tgfu3p06cMGD5FBgFABJDqN1K+R6hKY3A/V+jISyF1SftR8UWk6nW9VZj9osxQW8rDhh8U7tms9IOL2g2Ew/qaE6Xx4IFUwKaYiLa1t39Vj+05vE3+XfFAcHGRWXHpot+yWPu89GvpTHX5GeBPyt95cPny2XtAeWfZL7NAn1DJY5rtH9S0jPmEy2yqaC3ML6SIjw0wUBiwvVMY5TOorivsBpTiEBjnDLalAgEN6YFcmNbkiJt6wXNeasec+rT9IK4oO8NPFfH4Z4l0QMQ83KqRqTdkCGv6+aHaxIMNEvZhPgkJUXjQfpEdd3Vg0xw5SL/MMWRinaH+QdVBMaeBhbij4tSkCuYXE666e7uZ1OGtHTc9Xs8SuS8dQ9Na1q6y02dfj/pLbZhrPzf4f5n2IUQeQniws0R1eWjVliGswZg2u3ZHbDh0v9CnHHPkYP0yx5gJdYb6BzWHxpw2luBO/VOTKphfTrhqbs4c4YWBR37nvU7Qu9GApW7O84zVjOmn/n0dORtjPYeIQ5y3BohnLiFUt3UMa+U7rzhuWGnBW83NIKxfYrAWxsf6x6tvGfOFCFx99ZqYX5aYrwZLCOEGunxZpmi8sPpH57+Rjvi8lwq7tcZtzoZzBvKOqBw3DtNd2sfLg7SYQr9T2OnVOUJ9ntxXTqiZ68EexO1WUH6fZ00+18hDKWD8s8rzIQ6ul2sl5Nc6DjOF1CEdvJmKM1UJhHdH8Rw2Su4ki3WXm0TUHvbRxiPFHbY+7Wz7JYFg8anwom9Lx0S2f04F88VgVVAwEW9arIZ5EaGqQQYvwsBPhZdZSCCEJ7og3kozyHnZFRMfHmQY/Ip2cluxPe9HOiBJyIQ6LCtAmH3yjzIY/E2IbIX4IMPw5n/HLuWDFy9/dq5J5269VCEeN8TKdXWic8j5psL/FNIvbC53GCukzb8V/qGjz+PPYq16O+J1gSckTZvvQwHlnW2/hGusHE4ZE9n+OWXMK2NZom4K3uirhvlFiXWFZb5Vp0MgrKkiEEU6qEnb80SVBrkEYlZ0T6jHoB4S6gdSHyp3VXl4kbydjx8ocdt04m3lpzanyyYphkEHBMdDptOveMBo6MEyhrXTjy506+Dp/UoHRH3PZX79c4798vXqKsSE2dQxMdY/p4h5BSTLVMzAG8XVMC/1UIfILnivn2TYv7qgQAh4o8+xNhIGeppGNjo+E+kR6gW9PUUceXPzDorsA7y3OghLhV0QgaxG66gs3jaetfM2cxWURz648jKLhwzbo/Assx5tTofSINWcDF3bGNZ7+mQTdtE/bxTGW+pq9guYoS8Vd3+p3RyWkD6EXyQqO9gvyuef7lUR6brmFU0dE2P9Uw1z7POYVMe9JpYlHbIAb9RXw/yy0Fi2VlE0N1BDWvf/dVSWDiK9W89U2i2flvNQlZUX1UMPRAnhDMkYKK6u9H1WJLvXdUh5aZ70uy0+CnMEkKrBjic6wIt1SpYAqu45lc5Jovbpp43C9AHiPGJlYSsEW7tfsnipHbxitst1nrjOJ4vqj/aLygQSnKy/r4J0cr9tFC4eE9JRFXNv10Fwl63VsezDOE5Xu9Xw9vhMwvwiNmYkDhHmPECIDImJEq8B78FdnMvdDkSIOR2oZDOtxfCcMDXeqF6nX/FcWdLw+I4msovBz/pmd5MqDhns4RbSFLLeDLHyhXLqPdS5IzXFDyG9WKtdMGQzPtP7HMaxPWfZL/EFVo6Xjone/pE9J4N5ZezmqCvFG93VMJ9CqKwJug5Nrg4ySMkTAsHIWPrWTykDEe6Rjq+8s2akgQ5pBRL3RVxAWtpmnH/QuCfB3M9msTdH9JCm85owTPV52ODRs7SRw5liNaQXa2xQAxxhih+3F2wKD7Zz7Zf4mmvGS8dEb//ImJPAvCZoC3SV4k0T1TC/LDWYwa7Dvb1X6NYzFeLFsFbKRw9igdg60lM5pjscnecWF1b8g447SVo47YDx7eHxufZDAR9C7GPLAkmVOqeyBxt54LAuyjpdEDBgq1ffdJW3keAKiQUB00BacVqIhxDd3AhTZQhrdO2t4co+HgrYxdapYOs59ws41JbSMTHUP81jXhs09Ome495jaQwBA+RBdC9uU3b/luJNrWqYO0KVYZABRgcvhCkfjaR7Gt2an/LCRUGC/IaesrEwKNlvyrogL6vYk4qkRLFN3RJhTEQhnRBdL6QrrIH1kROETXvHEPADk87jjIxIsQlZEBMeafwLr291zjoq69F4sFyP6xOd87BgGkM7pJOPV0s6GFGOfATiw1sO59vU7V/K92G9UR0I/q6OuAxtpt8kONd+ibGqGS8dE0P9cwqY18Qs6Eq/LcG9ydJU4JVQLg5L8aZONcx3vjYVW1MzrsEJATBIIeSsKI/9lpPepgdFqsuA/1PhEMCh+OrDJVhPAa9Gv0gH3vHil1JT7M6VlR08wF5ii47XOu+bbeWq76Wpfu+YUN7Rx4JsOBju0j0JS5Vn90X3QNc5fQBG7NPuc1h2MFe5XrwpqPwqmDsPdaflhScyjKcH+ysdeSrE88VzezCimgvmJp1zo/I0or5JGQJLsC5rYVuqRr/gyXMcVXQfM3AZwAxuPJpO/D2Ox8Sg31vHV9rUMbGkf2pgzrUdDHfhMRVLOIFdJkUyA2/0VsH8osjCaYWYer+KqvBUZxqZW/fsiimf6W/2jXhXKBNRPZ5W1Ou2aGWKWVKEwFysIxWj0Vr9Ij2sSzfRt7KDextJl65I5x7cI1NXevv+oHhM+Os96liQDQfFfQqW4KEjfqhCsCyL9XmnkzmINnwfwifFono7/HNZXLO8IE9IbobHCpmCs/6Z3oB92ljzYz2St5mlwtM/t1ZYWn+t5eZgPQWrc+wX7stuv3UExs7b9yg9ROeMiTn9c0qYz8JSXMJyAcsRvcuHypuDN321GPMrWUPF0lLxjM9666hXojIsJfAk7fMMSptdZbkpWE8B6Fz7RdfFtP69wp1lKZ2z/sZWMwZyNZE+vJ+zHAu6tslYejzcQ0Px2GNtBvPmCLUaMqbIEFiAgB+8ECQD95MOZlmQAC9OIU+mlRDrdR3EyadsujNGSeuWGlh6Hbztd7NRhWGXS1POlBHquu91u/oMAhqsECRLT7yEcgNWIS+iSI+/ZbBROtNPvnFwlJ9aqu2mRbgsxlI68NTxTOMZAA8z9sUfxFOdC+rl3IpWzxA4RwQ0QPE4IVMGa+z9EE9/EQgEY+unlFmlVMSSmQH9QtiJ9O8svXQZR4wYoR4RfGu6SQTYPsPgfZ1Yh6eV26nSl55UX+VpFSxFnHzn4iTk4iSsNCMNgatDgJ9S86Kzm0p6T4tpZ27/6V761ZnafEurw9IItfl70gy8KgQ8ceKdpvsbIYaN8tPtf7fTdK+D5FXLWrE0Ql31bW8X34PAuySdN8uOZEUU/MsZvFJkZ/2UPKXdcDn2JyCwKiyNUEO3W7h6BESITPMhzkCYG6Wx15nz8NNHPjoTXlaRHnYB4NkO/VpK2euRtWJp26bWc4/blRYgICKAGPm5NJ4VX//iJ6MQLS9YSGN9NXirECrbed7o2Ch99McolFuLrBHL/wEpTv1b/k8PjwAAAABJRU5ErkJggg==\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 10 y{\\\\left(t \\\\right)} - 2 \\\\sin{\\\\left(3 t \\\\right)} + 2 \\\\frac{d}{d t} y{\\\\left(t \\\\right)} + \\\\frac{d^{2}}{d t^{2}} y{\\\\left(t \\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"                                      2      \\n\",\n       \"                         d           d       \\n\",\n       \"10⋅y(t) - 2⋅sin(3⋅t) + 2⋅──(y(t)) + ───(y(t))\\n\",\n       \"                         dt           2      \\n\",\n       \"                                    dt       \"\n      ]\n     },\n     \"execution_count\": 83,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ode\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 84,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"L_y = sympy.laplace_transform(y(t), t, s)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 85,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\mathcal{L}_{t}\\\\left[y{\\\\left(t \\\\right)}\\\\right]\\\\left(s\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"LaplaceTransform(y(t), t, s)\"\n      ]\n     },\n     \"execution_count\": 85,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"L_y\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 87,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# L_ode = sympy.laplace_transform(ode, t, s, noconds=True)  # previously like this, not working now\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 88,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"L_ode = sympy.laplace_transform(ode, t, s)[0]  # instead use this\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 89,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{\\\\left(s^{2} + 9\\\\right) \\\\left(s^{2} \\\\mathcal{L}_{t}\\\\left[y{\\\\left(t \\\\right)}\\\\right]\\\\left(s\\\\right) + 2 s \\\\mathcal{L}_{t}\\\\left[y{\\\\left(t \\\\right)}\\\\right]\\\\left(s\\\\right) - s y{\\\\left(0 \\\\right)} + 10 \\\\mathcal{L}_{t}\\\\left[y{\\\\left(t \\\\right)}\\\\right]\\\\left(s\\\\right) - 2 y{\\\\left(0 \\\\right)} - \\\\left. \\\\frac{d}{d t} y{\\\\left(t \\\\right)} \\\\right|_{\\\\substack{ t=0 }}\\\\right) - 6}{s^{2} + 9}$\"\n      ],\n      \"text/plain\": [\n       \"⎛ 2    ⎞ ⎛ 2                                                                                                                       ⎛d       ⎞│   ⎞    \\n\",\n       \"⎝s  + 9⎠⋅⎜s ⋅LaplaceTransform(y(t), t, s) + 2⋅s⋅LaplaceTransform(y(t), t, s) - s⋅y(0) + 10⋅LaplaceTransform(y(t), t, s) - 2⋅y(0) - ⎜──(y(t))⎟│   ⎟ - 6\\n\",\n       \"         ⎝                                                                                                                         ⎝dt      ⎠│t=0⎠    \\n\",\n       \"──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\\n\",\n       \"                                                                         2                                                                            \\n\",\n       \"                                                                        s  + 9                                                                        \"\n      ]\n     },\n     \"execution_count\": 89,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"L_ode\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 90,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def laplace_transform_derivatives(e):\\n\",\n    \"    \\\"\\\"\\\"\\n\",\n    \"    Evaluate the laplace transforms of derivatives of functions\\n\",\n    \"    \\\"\\\"\\\"\\n\",\n    \"    if isinstance(e, sympy.LaplaceTransform):\\n\",\n    \"        if isinstance(e.args[0], sympy.Derivative):\\n\",\n    \"            d, t, s = e.args\\n\",\n    \"            n = d.args[1][1]\\n\",\n    \"            return (\\n\",\n    \"                (s**n) * sympy.LaplaceTransform(d.args[0], t, s) - \\n\",\n    \"                sum([s**(n-i) * sympy.diff(d.args[0], t, i-1).subs(t, 0)\\n\",\n    \"                for i in range(1, n+1)]))\\n\",\n    \"        \\n\",\n    \"    if isinstance(e, (sympy.Add, sympy.Mul)):\\n\",\n    \"        t = type(e)\\n\",\n    \"        return t(*[laplace_transform_derivatives(arg) for arg in e.args])\\n\",\n    \"    \\n\",\n    \"    return e\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 91,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{\\\\left(s^{2} + 9\\\\right) \\\\left(s^{2} \\\\mathcal{L}_{t}\\\\left[y{\\\\left(t \\\\right)}\\\\right]\\\\left(s\\\\right) + 2 s \\\\mathcal{L}_{t}\\\\left[y{\\\\left(t \\\\right)}\\\\right]\\\\left(s\\\\right) - s y{\\\\left(0 \\\\right)} + 10 \\\\mathcal{L}_{t}\\\\left[y{\\\\left(t \\\\right)}\\\\right]\\\\left(s\\\\right) - 2 y{\\\\left(0 \\\\right)} - \\\\left. \\\\frac{d}{d t} y{\\\\left(t \\\\right)} \\\\right|_{\\\\substack{ t=0 }}\\\\right) - 6}{s^{2} + 9}$\"\n      ],\n      \"text/plain\": [\n       \"⎛ 2    ⎞ ⎛ 2                                                                                                                       ⎛d       ⎞│   ⎞    \\n\",\n       \"⎝s  + 9⎠⋅⎜s ⋅LaplaceTransform(y(t), t, s) + 2⋅s⋅LaplaceTransform(y(t), t, s) - s⋅y(0) + 10⋅LaplaceTransform(y(t), t, s) - 2⋅y(0) - ⎜──(y(t))⎟│   ⎟ - 6\\n\",\n       \"         ⎝                                                                                                                         ⎝dt      ⎠│t=0⎠    \\n\",\n       \"──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\\n\",\n       \"                                                                         2                                                                            \\n\",\n       \"                                                                        s  + 9                                                                        \"\n      ]\n     },\n     \"execution_count\": 91,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"L_ode\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 92,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"L_ode_2 = laplace_transform_derivatives(L_ode)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 93,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{\\\\left(s^{2} + 9\\\\right) \\\\left(s^{2} \\\\mathcal{L}_{t}\\\\left[y{\\\\left(t \\\\right)}\\\\right]\\\\left(s\\\\right) + 2 s \\\\mathcal{L}_{t}\\\\left[y{\\\\left(t \\\\right)}\\\\right]\\\\left(s\\\\right) - s y{\\\\left(0 \\\\right)} + 10 \\\\mathcal{L}_{t}\\\\left[y{\\\\left(t \\\\right)}\\\\right]\\\\left(s\\\\right) - 2 y{\\\\left(0 \\\\right)} - \\\\left. \\\\frac{d}{d t} y{\\\\left(t \\\\right)} \\\\right|_{\\\\substack{ t=0 }}\\\\right) - 6}{s^{2} + 9}$\"\n      ],\n      \"text/plain\": [\n       \"⎛ 2    ⎞ ⎛ 2                                                                                                                       ⎛d       ⎞│   ⎞    \\n\",\n       \"⎝s  + 9⎠⋅⎜s ⋅LaplaceTransform(y(t), t, s) + 2⋅s⋅LaplaceTransform(y(t), t, s) - s⋅y(0) + 10⋅LaplaceTransform(y(t), t, s) - 2⋅y(0) - ⎜──(y(t))⎟│   ⎟ - 6\\n\",\n       \"         ⎝                                                                                                                         ⎝dt      ⎠│t=0⎠    \\n\",\n       \"──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\\n\",\n       \"                                                                         2                                                                            \\n\",\n       \"                                                                        s  + 9                                                                        \"\n      ]\n     },\n     \"execution_count\": 93,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"L_ode_2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 94,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"L_ode_3 = L_ode_2.subs(L_y, Y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 95,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{\\\\left(s^{2} + 9\\\\right) \\\\left(Y s^{2} + 2 Y s + 10 Y - s y{\\\\left(0 \\\\right)} - 2 y{\\\\left(0 \\\\right)} - \\\\left. \\\\frac{d}{d t} y{\\\\left(t \\\\right)} \\\\right|_{\\\\substack{ t=0 }}\\\\right) - 6}{s^{2} + 9}$\"\n      ],\n      \"text/plain\": [\n       \"⎛ 2    ⎞ ⎛   2                                    ⎛d       ⎞│   ⎞    \\n\",\n       \"⎝s  + 9⎠⋅⎜Y⋅s  + 2⋅Y⋅s + 10⋅Y - s⋅y(0) - 2⋅y(0) - ⎜──(y(t))⎟│   ⎟ - 6\\n\",\n       \"         ⎝                                        ⎝dt      ⎠│t=0⎠    \\n\",\n       \"─────────────────────────────────────────────────────────────────────\\n\",\n       \"                                 2                                   \\n\",\n       \"                                s  + 9                               \"\n      ]\n     },\n     \"execution_count\": 95,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"L_ode_3\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 96,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ics = {y(0): 1, y(t).diff(t).subs(t, 0): 0}\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 97,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left\\\\{ y{\\\\left(0 \\\\right)} : 1, \\\\  \\\\left. \\\\frac{d}{d t} y{\\\\left(t \\\\right)} \\\\right|_{\\\\substack{ t=0 }} : 0\\\\right\\\\}$\"\n      ],\n      \"text/plain\": [\n       \"⎧         ⎛d       ⎞│      ⎫\\n\",\n       \"⎨y(0): 1, ⎜──(y(t))⎟│   : 0⎬\\n\",\n       \"⎩         ⎝dt      ⎠│t=0   ⎭\"\n      ]\n     },\n     \"execution_count\": 97,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ics\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 98,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"L_ode_4 = L_ode_3.subs(ics)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 99,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{\\\\left(s^{2} + 9\\\\right) \\\\left(Y s^{2} + 2 Y s + 10 Y - s - 2\\\\right) - 6}{s^{2} + 9}$\"\n      ],\n      \"text/plain\": [\n       \"⎛ 2    ⎞ ⎛   2                       ⎞    \\n\",\n       \"⎝s  + 9⎠⋅⎝Y⋅s  + 2⋅Y⋅s + 10⋅Y - s - 2⎠ - 6\\n\",\n       \"──────────────────────────────────────────\\n\",\n       \"                   2                      \\n\",\n       \"                  s  + 9                  \"\n      ]\n     },\n     \"execution_count\": 99,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"L_ode_4\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 100,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"Y_sol = sympy.solve(L_ode_4, Y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 101,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[ \\\\frac{s^{3} + 2 s^{2} + 9 s + 24}{s^{4} + 2 s^{3} + 19 s^{2} + 18 s + 90}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡      3      2               ⎤\\n\",\n       \"⎢     s  + 2⋅s  + 9⋅s + 24    ⎥\\n\",\n       \"⎢─────────────────────────────⎥\\n\",\n       \"⎢ 4      3       2            ⎥\\n\",\n       \"⎣s  + 2⋅s  + 19⋅s  + 18⋅s + 90⎦\"\n      ]\n     },\n     \"execution_count\": 101,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"Y_sol\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 102,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle - \\\\frac{6 \\\\cdot \\\\left(2 s - 1\\\\right)}{37 \\\\left(s^{2} + 9\\\\right)} + \\\\frac{49 s + 92}{37 \\\\left(s^{2} + 2 s + 10\\\\right)}$\"\n      ],\n      \"text/plain\": [\n       \"  6⋅(2⋅s - 1)       49⋅s + 92     \\n\",\n       \"- ─────────── + ──────────────────\\n\",\n       \"     ⎛ 2    ⎞      ⎛ 2           ⎞\\n\",\n       \"  37⋅⎝s  + 9⎠   37⋅⎝s  + 2⋅s + 10⎠\"\n      ]\n     },\n     \"execution_count\": 102,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.apart(Y_sol[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 103,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y_sol = sympy.inverse_laplace_transform(Y_sol[0], s, t)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 104,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAfoAAAAuCAYAAADAzdvEAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAO8ElEQVR4Ae2d65XmNBKGe+Z0AMOSAWTAJQKGDLhEwJABHH7BP86SARABlwyACGYhg50MFiaD3vcRklv2J9vy7bN6eHWOWrJUKpXeKpUudnc/uru7u3EwAkbgugh89dVXv6vHD5W+uG7P7s0IGIFXHYGhf3nkhf5VV7nH1xoCmoRPJNNfSh+1JpvlMQJG4GEjUPIvj8eGJOI3xuq2lB/FtyWZWhzjFnxaaLs3pjX8amhWYvNU7f5Y2dbNKhHYW39786schskWILC3jmr41dAsGMIepBf+pbjQS/DP1Ntbe/SY8ziKb97H0vxBMr0R+S4Vx/QFBE7U0a561Djg928NkXhDXnH3eVaA8B9XJFyP8GG72kMrShFWjOuZIjdNDzacqPMm7CLqsehfLq7uRfyBNP2u0s/HNK664Kiy+h9UNnlCqeGb8QtZteFWgXeZnyv/3bB+6/OYTLHfTyN/jB85cMq/1vYpWhzNC6U/17Y5mk6yLNbb0TLN8ZfMRXtUOTo5XEfqZ3c9iic2/bXSlmyDDcenkilhGlSj5804B0bZj8jT8zrDZG1WWKK3nxTfVv7lHJ9I39Ozyphj8BgLL0Xz2lhlC+VxDBfrlso32694zPqAGppr4SRZLvxLb6EXAYvab0rfLgmlckD7RRFDCYueUgzkLaVvltpQprpJvhPtuIKgv+/Eo+eAxtrUlo/JFMtZ1Lv+lH8mvt8q8vFUzzlHeoB9X/neh1V6pvw9pbMTUHSHBfW/Sm+HCVTJWHIX7SaWX01H6m9XPYofX8C+pvRUu8jVIFn+q+c/lH6YypUH/2qcU7u5VHw9r+dAmqiPevleJH8qvqPIYl9lT2pb0jMHAHSC/4JnHijnoNXzeznB2fmIx8W6Fcur7TfSr/blar+rn1iLq+S48C+3A2YonAVtLLCo/ypG+ckWZ9Bb4AqN5/gWmoQNAn1VGXCRwXThmEws6lxj/aKYjPtHlYHLF4qpTNkQmAhc3ZQwoA39dJuG0OL6P9bq7fqS9ntsRUe76VF2gr1wQtq0yEc+2N3mmy7x4MRSCkvnQonHRZn687wWKsIh+Y5FOlQ7bCdsyJRHd1WvfyLthT5U8ER1F4c7lXFAuFE69HklHmeWvXJ+IuKOXhnbXODgHdYfpUX/8njA4SMRFo1O5Vzv0HHvSl/lnGTfH/AZPo7yHRIOn8V7k0Mc8suex2TiFQR9dv3OyMDYi68t1A4s6eeJ0lOC+t6it1NkzjptQkc765E5lG7DcLDBmWZjrs1iU5vtSv0jD7ZOHIalc2HYfvRZ/Zb6G6VfUNGEzVTKi/6Ih4cZPXNrWgq903CJoJGyJnQujHf19+LHDVtYX2fS/JBZ9C+3SVFixE4gb5CqUsppdvFJpIJv4n+1dEom1eGEe++jVMZiSeBkNwzgNrXjBdOPFIsbqCGzA55X6e0AORaxbFBHe+mRV1zPIxhfaJy9jfMikPYh/hgZFC9unVS2dC7sI9FKLpJ31IetGEvr83opSlN6vvBfwouT5NdLO7k2fYM638tPrIWy6F9uM25cBeVX8llVyLJTYIdB+rHi/xRh+lOcRMoWwyjfyIsJxe4+7WwxSD4s4aTDlTMpV33pqor+Kf+XIlfqGGRaiN9V/rlov1E6FUZlGjYSL+SjD65HwmIdy3CMyIx8fKOATKW+wZRT/1kL/Vq93WhMjI+xo58UGGPnGDIa3v0RLmxCNMhQ1HNoUf7Rmo6q9BjxYHPF/CCABwtpwhA74VsPrsV/UDwtSAaufUub16JMor+YCyVC0Y3qW3We1yXQDixboefk06o2oeJvP3Gvvyo/AXnEbcpX3HOtzxX9y23W/h3li5M+CpRI39FzZwDK84c/PlHsnH8ijGmRr+iDcSjtXfvrOZwslLIzYsFPC0hgp2euE99U+pdSFvsPlA8Lu1IczO9Kf1ak/VgoypQTR144NjYP9PmfVK86lMnmgw3GU6W9MSS6mCI/fK4eJBcYp7BIb2rLZOfjkk63KmMcbOz4bYK06cOwuF7q8Fae7xvY/HyjOKlntR0LreloVo8aK/gwh1jIw+scpdgkkznMGT0H29HzqUFyoF9u6Dq9jQkUx1CcC8M2op3Ud+zP83oI3EHPwrtaz5kIbO6JsyHyt5+4R2rWT0Aq3GZ9xT3L+pz4Fv3L44wFE/TP7LmUxXkPT6acqr9Xeb6o5G3H+OLIWXyG7YYbhjFHxMLLItud3pUPzpXyXIBCfkymjhRe8FbkZMnJiw0EC3seRt/PZ0RgOhxjVn2V7Bq9sYAPfz0wjeNllBqa0qaKRY33eyxytXqOLLukNR1N6lFjxaHyrpNxJztkMNji2DtQ6s8K3Q3VnACMR3FuLiQ2tfr2vE6IHZtW6xkxpGfsmMMTC0ZNsJ/oozTpJyCNGF/VV9xmMnI6Tg48Kw6CsfOnrDQ52c1xDckELxlHkS+GpAgo3AjQjoGzaHS3BXqeC90pe0CYFqRBcfdYlKmrHWQkE3KBDafZ/LcAcOLDjcmgdcCMyTMbxBu5f1Ockz/n1Z0e80LyyKxIdpHeohws0t0mCiYqZ6xhvMpTz7ieK/aC6lgYKEvvBdfouTUdgeGUHtNt2BONnSvx1wFAgduN0rz4u3bmp9rCFzsbBvC5Uf3Fu3UVgz8b1GJQHfM1yVukGStU27G5EJqo3vN6AJ4w2V2Hgy6Kjyv1jD3lG9UibwrFHz9lP9FHaM5PQJ3m3q6+oi9G/+m2/zj5xABY7MbClBMca8OvdHyhiCML10Uynt1/Z36s81K5+sdwMeKhsbOpQE4izg4jZ8xzp7XqBUs8wffi11xUtiWs0VvSZXrPXOo/0UzZRMBSjXfVs3A6Q0dzekx20dsclYBbUqaxlhbyG5Vzu8Sv1y3qT/ToDQeDXUwG0VThXGCyq74L/BcX1Y5FdEfM6111WDN4jaNazwN+2NWsbcQ2yQfYT9yDOOcnoDzEV9yLcJl7nBWhXIx8LNTUl9oW20VDvFHKh0o4Br50Z0I803NwMCVmO5WNycT4uaHgmn4KC8TgBuNGdN1pbaQNfDjRnhWKY82EoX4YUhkfko2FRDOFE1f/wRkoXarnotwR4zN0VKPHhMkYZi2Uo493hSO3U11UGXPuaSzj9QPjrcVZpH8HtVur78RiS9qazWwZy9a2VXrOO4k6p93LvHwin+zdfuIepBo/AXXC7r7lgbnbjDeLUZikWVme5cRdOr2ySHNF3C14eSPlx/jiWOgvnEjUHuPiNM97bxbR4YlaRbuFokzIEOXg+nFo7GFhlwRpnL3386JnJ4zMw3bs8K6qVPWXh8V6izgwljTmnN8NY1VMV7jg0Ht9oTp2rASuqNbquTUdzelxVMcJr4DIyT8kC/abbLiTRuV83Irdd1f+ymPLNXOh46PMWn3nPNbmW7OZtePY3G6JnrPO0nwHx9mAfSjaT/SRmvMTUF/dVzzOZERhfGFeDMlwlLJwhKD8E2X4HfFP/i4p/pziy+8RwyMPPA8d0ZAGegBdG6Zk4huB3oZGMrKIIwMftryMnbJJCQqLYxj763hshHr8YvurJJItOHalS/WGw2dMvM/tQuQDfoT3FPljFTj3PNAXH28lulo95zxa09GcHhlz2uCEcWj8XJGz2Uk45ONrLY99D+dZ7VwYjqVW38P+4ON5PURz3+eSnlMPSR8vU0FFaj/RB2nOT0B9dV/R/a17OSSc1LdKp65hblSPkMkgmJRfq2zUkamuyDeWcxrk1xESv9eVDx8vqZ7Fg77SLpN35MGoYjl8MUjKcUjQUU85C/DoB0ljMqlNCLEeXimwqHOd2W1AlKcMJ85Xpzd6Hv42AsWUM77er5+Fiiv/kByL9IZ4aoNevlf8UxGsCdhItyNVHhzAP9UHXFQesFKKPkb1rLpiiO1G7THWX01H6m9Wj6JJH+F17yxVtugdehGMQqH4svlc/I5+yEp8sGHmTtqsoTfmYLppQ3+TOKu+C2o3qW/Ve15HtITFah2qLX6H+YnuSIPPU/pcdRc2p7JJPavdjWiYu7yu6X6llvK5oHb0bz8hEITFrJ8AT9FdzVfQX7fQx84RcvQrbmjWhDj43fmukSW1uYZM6oOJg9Oc3DwlmZz2EWhFRy3qUTKtXiT6KL9aT63YTA2q1mENSvM0rehccjTr7x8PYOTUV/xCdEC39PEovkvlyOmvIRMnXfpxWIdAKzpqUY/coBAd+gi0YjN9qcpP1mEZl6Wlrei8RT8RsOyd6CnRroT3ybyL7q5nA+XGH0fx3SLWkTKJN7s7rp65tnZYicDZOrIeVyruxGZn28yJQ//Hdn22zlv3E8MTPYbC+zje5+wdjuK7Rc4jZQLD/N3mFjn/yW3P1pH1+PCs72ybeXiIPXyJz9Z5037i4kSPvuPu5KnS4gdma23iKL5r5TlqrBonX6rza0m73opsGedDbnuE3dToqIbmIeP6Kst+ls28ypi2PrazdP4Q/ERxoW9doZbPCBgBI2AEjIARqEOgdHVf19JURsAIGAEjYASMQPMIeKFvXkUW0AgYASNgBIzAegQeffnll3frm7ulETACRsAIGAEj0DICfkffsnYsmxEwAkbACBiBjQj46n4jgG5uBIyAETACRqBlBLzQt6wdy2YEjIARMAJGYCMCXug3AujmRsAIGAEjYARaRsALfcvasWxGwAgYASNgBDYicLuxvZsbASNwMgL6y1z861f+benbyo/+o5u96U4etrs3AkagEgEv9JVAmcwItISAFu0nkif9D3D+J/kbJfn2piv14TIjYATaRsALfdv6sXRGoIhAPLmHf5qk/Gci4lR/Efamu+jABUbACDSPgN/RN68iC2gEjIARMAJGYD0CXujXY+eWRsAIGAEjYASaR8ALffMqsoBGwAgYASNgBNYj4IV+PXZuaQSMgBEwAkageQS80DevIgtoBIyAETACRmA9Al7o12PnlkbACBgBI2AEmkfAC33zKrKARsAIGAEjYATWI+CFfj12bmkEjIARMAJGoHkEvNA3ryILaASMgBEwAkZgPQJe6Ndj55ZGwAgYASNgBJpH4NHd3V3zQlpAI2AELhHQn7flH9nwN+/5W/ekLxT/UHyuum+UhrA3XeLr1AgYgYeBwP8BJ2KxAGaPZ8AAAAAASUVORK5CYII=\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\frac{\\\\left(6 \\\\left(\\\\sin{\\\\left(3 t \\\\right)} - 6 \\\\cos{\\\\left(3 t \\\\right)}\\\\right) e^{t} + 43 \\\\sin{\\\\left(3 t \\\\right)} + 147 \\\\cos{\\\\left(3 t \\\\right)}\\\\right) e^{- t}}{111}$\"\n      ],\n      \"text/plain\": [\n       \"⎛                           t                             ⎞  -t\\n\",\n       \"⎝6⋅(sin(3⋅t) - 6⋅cos(3⋅t))⋅ℯ  + 43⋅sin(3⋅t) + 147⋅cos(3⋅t)⎠⋅ℯ  \\n\",\n       \"───────────────────────────────────────────────────────────────\\n\",\n       \"                              111                              \"\n      ]\n     },\n     \"execution_count\": 104,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.simplify(y_sol)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 105,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle 0.00900900900900901 \\\\cdot \\\\left(6.0 \\\\left(\\\\sin{\\\\left(3 t \\\\right)} - 6.0 \\\\cos{\\\\left(3 t \\\\right)}\\\\right) e^{t} + 43.0 \\\\sin{\\\\left(3 t \\\\right)} + 147.0 \\\\cos{\\\\left(3 t \\\\right)}\\\\right) e^{- t}$\"\n      ],\n      \"text/plain\": [\n       \"                    ⎛                               t                                 ⎞  -t\\n\",\n       \"0.00900900900900901⋅⎝6.0⋅(sin(3⋅t) - 6.0⋅cos(3⋅t))⋅ℯ  + 43.0⋅sin(3⋅t) + 147.0⋅cos(3⋅t)⎠⋅ℯ  \"\n      ]\n     },\n     \"execution_count\": 105,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.simplify(y_sol).evalf()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 106,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y_t = sympy.lambdify(t, y_sol.evalf(), 'numpy')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 107,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 391,\n       \"width\": 787\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"tt = np.linspace(0, 10, 500)\\n\",\n    \"ax.plot(tt, y_t(tt).real)\\n\",\n    \"ax.set_xlabel(r\\\"$t$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(r\\\"$y(t)$\\\", fontsize=18)\\n\",\n    \"fig.tight_layout()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Numerical integration of ODEs using SciPy\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 108,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = sympy.symbols(\\\"x\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 109,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y = sympy.Function(\\\"y\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 110,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f = y(x)**2 + x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 111,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f_np = sympy.lambdify((y(x), x), f, 'math')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 112,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y0 = 0\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 113,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"xp = np.linspace(0, 1.9, 100)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 114,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 100,\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(100,)\"\n      ]\n     },\n     \"execution_count\": 114,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"xp.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 115,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"yp = integrate.odeint(f_np, y0, xp)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 116,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"xm = np.linspace(0, -5, 100)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 117,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ym = integrate.odeint(f_np, y0, xm)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 118,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAAtAAAAMFCAYAAABd08G0AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAB7CAAAewgFu0HU+AAEAAElEQVR4nOydd3RUVRfFd4CE0HtRQJBiAQSkiiK9iKIiFhTFilgQO2BFih1RQRQBC1YsCEpVkCa9915CSCCdVEhIMnO/P/Y3IcAkpMw7bzJzfmtlTcrk7Tczr+x77rnnBBhjDBRFURRFURRFyRPF7N4BRVEURVEURSlKqIFWFEVRFEVRlHygBlpRFEVRFEVR8oEaaEVRFEVRFEXJB2qgFUVRFEVRFCUfqIFWFEVRFEVRlHygBlpRFEVRFEVR8oEaaEVRFEVRFEXJB2qgFUVRFEVRFCUfqIFWFEVRFEVRlHygBlpRFEVRFEVR8oEaaEVRFEVRFEXJB2qgFUVRFEVRFCUfqIFWFEVRFEVRlHygBlpRFEVRFEVR8oEaaEVRFEVRFEXJB2qgFUVRFEVRFCUfqIFWFEVRFEVRlHygBlpRFEVRFEVR8oEaaEVRFEVRFEXJB2qgFcUHcTgc2L17N3788Ufs2LHD7t1RFEVRFJ+ihN07oCiKZ4iJicF9992Ho0ePIiwsDOnp6QCAFStW2LxniqIoiuJbBBhjjN07oSiKZ8jMzMTRo0fRrFkzpKamomTJkkhMTETJkiXt3jVFURRF8Rk0hUNRfIgSJUqgYcOGCAoKAgC0a9dOzbOiKIqieBg10IriY5w4cQKJiYkAgI4dO9q8N4qiKIrie6iBVhQfY/Xq1Vnfd+rUycY9URSlMCQkJGDs2LFo27YtKlWqhKCgINSqVQv9+vXDggUL7N49RfFrNAdaUXyMIUOG4IsvvkBQUBBOnjyJMmXK2L1LiqLkkzVr1uCOO+5AdHR0js+566678MMPPyA4OFhwzxRFAbQKh6L4HMuXLwcAXHfddWqeFaUIsn//fvTu3RtJSUkAgJo1a6JEiRI4ceIEnE5n1vNmzpyJwMBA/Pzzz3btqqL4LZrCoSg+RExMDPbu3QsA6Natm817oyhKQRg8eDAcDgfef/99JCUlISIiAmFhYTh58iQmTJhwzsB4xowZWLVqlY17qyj+iRpoRfEhli9fDldWlhpoRSl6/Pfff1i1ahX+/PNPjBgxAuXKlcv6W4UKFfDss89i0aJFKFHi7ATy77//bseuKopfowZaUYogISEhGD58OFq1aoUOHTqgRYsWWLBgQVb6RtmyZdG2bVt7d1JRlHzzww8/4KmnnkL37t1zfM7111+PAQMGZP186NAhiV1TFCUbaqAVpQjhdDrx7rvv4sorr0RUVBT+/vtvrFq1CosWLcJ7772X1XWwY8eOCAwMtHlvPUN0dDRefvllOBwOy7X27t2LN954I6uLo6JIs379erz55psXfV7Pnj2zvg8ICPCYvp5vipI31EArShEhLS0Nffr0weuvv45nn30W3333HapVqwYAqF69Opo0aYLdu3cD8J30jd9//x1NmjRBWloaihWz/nJVrlw5zJ07F23btsXOnTst11OU81m/fj1q1Khx0edlf07jxo09oq3nm6LkHTXQilIESEtLw+23346FCxeiZ8+e+PDDDy94TvYbXlE30JmZmRg8eDDuuecePPXUU5g0aZJHo2w5Ubt2baxcuRLVq1dH27ZtMWvWLMs1FSU7pUqVytPzUlJSsr7v06dPoTT1fFOU/KMGWlGKAM888wwWLVqEatWqYcaMGW6jQ5GRkQCAqlWrolmzZtK76DESExPRu3dvTJs2DaNHj8aYMWNE9cuXL4/58+ejU6dOuPvuuzFlyhRRfUXJC67ZpmbNmhWq46ieb4pSQIyiKF7N999/bwAYAOazzz7L8XlXXnmlAWDuvvtuwb3zLCdPnjTXXHONAWAef/xxW/clJSXFtG3b1gAwkyZNsnVfFOV8brjhBgPALFq0qMDb0PNNUQqOdiJUFC8mJSUF9evXR0xMDBo0aIC9e/e6XRwYFRWFmjVrAgAmT56MJ598UnpXC01qaiq6d++ONWvWoHPnzvj3339RvHhxW/cpOjoaTZs2xcmTJzFv3jzcdNNNtu6PogDA9u3b0aJFCwwaNAjTpk0r0Db0fFOUwqEpHIrixXzyySeIiYkBAAwdOjTHyhrZcwe7du0qsm+exBiD++67D2vWrEGFChXw/fff234zB7g4c8qUKXA4HOjfvz/27dtn9y4p57F8+XKMGjUKo0aNwvTp0+3eHRFefvlltGrVChMmTCjQ/+v5pigewN4AuKIoudGgQQMDwBQrVsxERUW5fY7T6TTNmjUzAEytWrWE99AzfP7551lpKl999ZXdu3MBd9xxhwFgrrvuOuNwOOzeHSUbb731Vtax06lTJ7t3x3ImT55sLr/8cnP8+PECb0PPN0UpPBqBVhQvZc+ePTh8+DAALhSqXr262+fNmTMHO3bsAAB06dJFbP88xeHDhzF8+HAAQKNGjfDwww/bu0NueP311wEA69atw6RJk2zeG8VfWbt2LcaPH48lS5bg0ksvLdA29HxTFM+gBlpRvBTXKnsAaNq0qdvnpKenY9SoUVk/F0UD/eyzz+LUqVMAgFdeecUrppLPp1WrVlnv7euvv55V8URRpNi3bx+efPJJLFiwAJdffnmBt6Pnm6J4BjXQiuKlREREZH1fvnx5t88ZNmwYEhISsn7u3LkzANZ13bt3r5W75xE2b96MBQsWAACCgoJw11132bxHOePat5SUFHz88cc2743iTxw+fBgDBgzAjBkz0KhRowJvR883RfEcaqAVxUspV65c1veuVI7sfPvttzh27Bjq1asHgE0J6tevDwAYMmQI4uLiRPazMIwdOzbr++7du+c4UPAGbrnllqzvJ0+ejJMnT9q4N4q/EBISgrvuugvTp08vdMdBPd8UxXOogVYULyV72sbixYsxa9YsGGMQGRmJ559/Hm+//Ta++uorHDp0CABQq1YtpKen45lnnkGjRo3QoUOHQukbY3DkyBH8+eefGDt2LAYMGIBrr70WZcqUwa+//nrR/33yySdRrlw5NG/eHKtXr77gOZGRkZg7d27Wz506dSrwvsbFxWH69Ono378/6tWrhzJlyuDhhx+G0+l0+/z09HS88847uPzyy1GuXDk8++yzF9WoW7du1tR5SkoKpk6dWuD9LUpIvLdFBavPifM5evQo7rjjDnz11VcXbY40Y8YM/Pjjjzn+Xc83RfEwti5hVBQlV3r16pW1Wh6AKVWqlAFg6tevbw4ePGiMMaZKlSpZfw8MDDSvv/56oXU3bNhg6tata+rXr2+CgoLO2QcApnHjxrn+/5o1a855ftWqVU1iYuI5z/niiy/Oec7ixYvzvZ+LFi0yffv2NYGBgRfsIwDz888/X/A/iYmJWU0osn+tWrXqonp9+/bNen7z5s3zvb9FCen3tqBIVeGQOCeyExoaapo1a2bWrl2b63adTqeZNWuWqVGjhklKSsrxeXq+KYpn0Qi0ongxM2bMwGOPPYaqVasiMDAQderUwRtvvIFt27ahYcOGAIDHHnsMwcHBaNmyJX7//Xe8/fbbhdZt06YNjh49isOHDyMxMRHvvvsuAgICsv6+Z88erFmzJsf/r1GjxjmLk2JjY7F169ZznpO9djUAXHvttfnez/379+Oee+7BgQMHEBkZiccee+ycv8+YMeOcnzMyMnDbbbe5jf6lpqZeVK958+ZZ32/fvh0HDhzI9z4XFaTfW29H4pxwER4eji5duiA0NBQPP/wwrrrqKrdfV155JapUqYJ+/frhlltuOSft63z0fFMUD2O3g1cUpWjw7LPPnhNBeuqpp3J9/s8//2zKlCmT9fw1a9Zk/c3hcGRF0wGY0qVLe2QfExISTMmSJbO2W758+XPqyA4ZMsRUqVLFzJ8/3+zatcsMHTrUVKhQwfTp08dkZmZedPvffffdOe/BuHHj8r2PDz30kNvonZVfdevWzfd+no/V721BsbMOtCfPCRfh4eGmYcOG+f6M3W3LhT+fb4piFWqgFUXJE9HR0efcLKtVq3bRm+DOnTtN2bJlTUBAgElISMj6/b59+865MTZs2NBj+9mjR49ztr17925jjDGzZ882pUqVMps2bSrwthctWnTOtu+55558b6OoGmhjrH1vC4qdBtqT54SLRo0a5fvzvVj6iD+fb4piFZrCoShKnqhWrRpuv/32rJ9jYmKwcuXKXP+nadOmaNeuHVq0aIEKFSpk/X779u3nPK+gTSHc4Srl52LTpk2IiorCoEGD8Nlnn6FVq1YF3vYll1xyzs9btmwp8LaKIla+t0URT54TLg4cOADD4Faev7LXjHeHnm+K4nnUQCuKkmcGDBhwzs/n51W6IyQkBP369Tvnd6Ghoef8nFvuZn654YYbzvl506ZNGDJkCNq3b39BzmZ+qVKlyjk/Hz58ON/5vdOnT8+3QSrs19GjRwv1ul1Y+d4WVTx1TliJP59vimIVJezeAUVRig49e/ZE6dKlcfr0aQDA3LlzMXHixByff/DgQRw9ehQDBw485/eJiYnn/FyyZEmP7WPbtm0RGBiIjIwMAMD3338Ph8OBPXv2FHrbwcHB5/xsjEFcXBxq165d6G0XBax8b4sqnjonrETPN0XxPBqBVhQlz5QqVQo9evTI+vno0aO5djz87rvvcNNNN6Fu3brn/P78G/r5N8rC7mP2CgOJiYl48803UadOnUJv253xyN4J0tex8r0FgIcffhgBAQH5+ho9enTW/69YsSLf/39+CkJ+8dQ5YSV6vimK51EDrShKvujVq9c5Py9evNjt806fPo0vv/wSL7/88gV/O38aNnt5L09w/fXXn/NzYU2SC3fG43xz4utY9d4WZTxxTliJnm+K4nnUQCuKki/ONwvLli1z+7wvvvgC9evXR5cuXS742/k5mGfOnPHcDuLCvMydO3d6ZLuZmZkX/K5UqVIe2XZRwar3tijjiXPCSvR8UxTPowZaUZR8Ub9+fdSrVy/rZ3dNEpKSkvDBBx+cM72enYoVK57zc1pamid38YLp8by0Tc4L7oyHu0oKvoxV7y1QsAWWb731Vtb/d+rUKd//v3z58kLvtyfOCSvR801RPI8aaEVR8k3Xrl2zvo+JiUFISMg5f3/vvfdwxRVXoHfv3m7/v3Llyuf87MkbemZmJoYOHXrO7zxhkgD3++lPN3Qr39uiTmHPCSvR801RPI8aaEWxifwudrLyK79069btnJ+z12cNDQ3FhAkT8OGHH+b4/40bNz7n55iYmHzvQ06MHDkSu3btOmdaOSQkBGFhYYXe9qlTp875uWzZsheU2roYBVkoV9iv7NHRwmDle1vUKew5YSX+fL4pilWogVYUJd906tTpnJ+3bt2a9f1LL72EW2655YK8yOxkX7UPAMePH/fIfq1YsQIffPABJk+ejIceeuicv3kiKhYZGXnOz82aNSvQAKQoYvV7W9Qp7DlhJXq+KYrnUQOtKEq+qVWrFi6//PKsn13RtqVLl2L+/Pn44IMPcv3/ypUrn5M3GRMTk1VHtqDEx8fjgQcewEMPPYSBAwdeYGhWrFhRqO0DQERExDk/N2/evNDbLApIvLdFncKeE1ai55uieB410IpiE9Ld6HL7Kgg33nhj1vdbt25FRkYGnnnmGbz88suoX7/+Rf8/ey6oMQYHDx4s0H64ePzxx1G+fHlMmjQJAHDFFVec0wrYXURs3759+Omnn/KsER4efs7PHTt2zPd+FsVOhBLvrS9Q2HPCSvz1fFMUq1ADrShKgche+zUyMhLDhg1DSkoKXn311Tz9/1133XXOz9lzRvPLlClTsHDhQvz2228oXbp01u+z33APHz58Tl5mamoq+vfvjzJlyuRZZ8eOHVnfBwcH45ZbbinwPhcVpN5bX6Cw54SV6PmmKJ5FDbSiFEEcDgd2796NH3/88ZybjCTt2rU75+cJEybgiy++OOeGmhudO3dGtWrVsn7Oyw193bp1+PTTT8+pcLBmzRo8//zzmDRpEpo0aXLO88+fVp45cyYAVg544IEH0KRJE/Tt2zdP+wucm9fas2fPC+rrFmXsfm99gcKeE1ai55uieBijKEqRIDo62nTr1s00aNDABAUFGQAGgFmxYoUt+5Oenn7OfvTv3z/f2xg5cmTW/zdp0iTX5x4+fNgEBgYaACYwMNA8/fTTZty4caZcuXLm4Ycfdvs/+/fvz9o+AFOxYkUzceJE07VrV1OvXj0THx+f531NTk4+5/UuWLAgPy/Vq7H7vS0Mb731VtY+dOrUSUQzJzxxTliJnm+K4jnUQCtKESIjI8McPHjQlCpVygAwJUuWNGlpabbtT+PGjQ0AU7lyZRMZGZnv/4+NjTVlypTJukkePHgwx+fOmzfvnJuz6+v66683qampOf5fkyZNLvifMmXKmM2bN+drX3/99des/2/VqlW+/tfbsfu9LQzeZKCNKfw5YSV6vimK59AUDkUpQpQoUQINGzZEUFAQAE4ZlyxZ0rb9cU2pfvHFF6hRo0a+/79KlSp44oknsn7ObYFR+/btUbNmzXN+161bNyxYsADBwcE5/t+YMWNQrNjZS13VqlUxf/58tGzZMl/76pqOBnBO9ztfwO731pco7DlhJXq+KYrnCDCmgEvwFUWxhRMnTqBWrVoAgDfeeANjx461ZT9SUlJQs2ZN3HHHHfjhhx8KvJ3ExERcffXViIiIQJUqVRAaGprjQqOYmBj88ccfOHXqFFq3bn1BzmVObN68GcuWLUPlypXRr1+/C1obX4yDBw/i6quvhsPhwB133IFZs2bl6/+LAna9t4Vl1KhRWe2xO3XqZGtNak+dE1ai55uieAi7Q+CKouSP3377LWtqc/Hixbbtx+uvv27q1atnEhISCr2tP/74I+s1ffDBBx7YO89y//33GwCmatWqJioqyu7dUbLhTSkcnjwnrETPN0UpPGqgFaWI8fTTTxsAJigoyKSkpNiyD//++68pXbq02bRpk8e2ed999xkApnTp0rnmZkozd+5cA8AUL17czJs3z+7dUbwUK84JK9HzTVEKh+ZAK0oRwzVFfd1119lSZzc8PBwDBgzAhAkT0KpVK49t9+uvv0bbtm1x+vRpPPLII3A4HB7bdkGJiorCY489BoA5rVqHVnGHVeeElej5piiFQw20ohQhYmJisHfvXgBc0CNNWloa+vXrh/vuuw+DBg3y6LZLlSqFOXPmoF69eli1ahWGDh3q0e3nl5SUFPTp0wfR0dEYM2YMBg8ebOv+KN6JleeElej5piiFQw20ohQhli9fntV620oDnZCQcEFEyuFwYMCAAahduzY+/vhjS3Rr1KiB//77D02aNMHkyZMxbtw4S3QuRnp6Ovr164etW7fi888/x5tvvmnLfijeg13nhJXo+aYoBUcNtKJ4ISEhIRg+fDhatWqFDh06oEWLFliwYEFW+kbZsmXRtm3bc/5n27ZtGDFiBJo3b47SpUvjueeeu2C7v/zyCxo2bIgqVarg33//das9dOhQVKpUCVWqVMFXX30FAEhKSsJdd92FU6dO4eeffz6nTJWnqVOnDlatWoXOnTtj+PDh+OijjyzTcocrErZ27Vr89ddfePrpp0X1Fe/D7nPCSvR8U5QCYncStqIoZ3E4HOadd94xgYGB5sEHHzTR0dHGGGOioqJMhw4dspoU3Hzzzef83+jRo83gwYPNW2+9ZapUqWIAmICAABMeHp71nC+++OKc5gaDBw++QP/IkSMXNEG48sorTeXKlc0tt9wi2rQlPT3dvPXWWyYwMNC88sorIpqRkZGmZcuW5oYbbjCHDh0S0VS8G286J6xEzzdFyR9qoBXFS0hNTTW9e/c2AMxLL710wd+feOKJrBv4+PHjc9zOxIkTs573ww8/GGOM+e+//8zVV19tFi1aZN5//33Ttm1bs3r16gv+Ny4uLqt9b/av4cOHm8zMTM+92Hywbds28/jjj4vo//fff+a9994zDofDci2laOCN54SV6PmmKHlDDbSieAGpqammZ8+eBoDp2bOn2xvKU089lXXz3rZtW47byh4xGzp0qElISDDNmzc3hw8fztO+/Prrr6ZBgwamXLlypmfPnm6NtqL4E3pOKIpyPtqJUFG8gEGDBuHrr79GtWrVsG/fPlSuXPmC5/Tr1w+zZ89G1apVER0djYCAgBy3d+mllyIiIgLXX389GjdujE6dOuGBBx6w8iUoiqIoit9QNFc9KIoP8cMPP+Drr78GAIwcOdKteQaAPXv2AAC6dOmSq3kGgPbt2wMANm7ciKNHj6p5VhRFURQPogZaUWwkJSUFL730EgCgQYMGeOKJJ9w+LyoqCvv37wcAdO3a9aLbdRnojIwMDB8+3EN7qyiKoigKoAZaUWzlk08+QUxMDACWygoMDHT7vFmzZmV9nx8DDbBLmqIoiqIonkMNtKLYyHfffQcAKFasGO677z63zzHG4MsvvwQA1KpVC1dcccVFt+sy5QCwatUqD+ypoiiKoigu1EArik3s2bMHhw8fBgA0a9YM1atXd/u8OXPmYMeOHQCY/3wxoqOj8fzzz6NevXoAgJUrV3pmhxVFURRFAaAGWlFsY/fu3VnfN23a1O1z0tPTMWrUqKyf82KgBw0ahBEjRuDuu+8GABw8eBBRUVGF21lFURRFUbJQA60oNhEREZH1ffny5d0+Z9iwYUhISMj6uXPnzgCAzMxM7N2794LnT5kyBUFBQXjqqafQqVOnrN9nj0InJyfjyJEjhdx7RVEURfFf1EArik2UK1cu63tXKkd2vv32Wxw7diwrFaN27dqoX78+AGDIkCGIi4s75/n79+/HxIkT8dVXXwEAOnTogGLFeIqvWLEi63lDhw5FUlKSR1+LoiiKovgTaqAVxSayp20sXrwYs2bNgjEGkZGReP755/H222/jq6++wqFDhwBwAWF6ejqeeeYZNGrUCCtXrkTHjh0xb948HD16FHfffTe+/vprVKxYEQBQoUIFtGjRAgDw22+/4fjx43j11VdRr169rN8riqIoipJ/tBOhotjITTfdhH/++Sfr51KlSiE1NRX169fHP//8g4YNG6Jq1apZ0ebAwEAMHz4cb7/9NmrUqIHo6Ois//3yyy8vqCM9evToc3Kou3fvjr///hvFixe39oUpiqIoig+jEWhFsZEZM2bgscceQ9WqVREYGIg6dergjTfewLZt29CwYUMAwGOPPYbg4GC0bNkSv//+O95++20AwPPPP4+yZcuiTp06+Oqrr9w2YRk6dCjatWuHChUqYNCgQZg9e7aaZ0VRFEUpJBqBVhRFURRFUZR8UMLuHSiqpKWlYefOnQCAatWqoUQJfSsVRVEURVG8iczMzKzmYtdccw2Cg4M9sl11fQVk586daNu2rd27oSiKoiiKouSBDRs2oE2bNh7ZluZAK4qiKIqiKEo+0Ah0AalWrVrW9xs2bMAll1xi494oiqIoPs1LLwG//Xbu78qVA/bssWd/FKWIEBERkZUxkN27FRY10AUke87zJZdcgtq1a9u4N4qiKIpP4656TqlSgN57FCXPeHK9mqZwKIqiKIq3k5Z24e88tBhKUZT8owZaURRFUbydM2cu/J0aaEWxDTXQiqIoiuLtuItAlywpvx+KogBQA60oiqIo3o+mcCiKV6EGWlEURVG8HTXQiuJVqIFWFEVRFG/HXQ60pnAoim2ogVYURVEUb0cj0IriVaiBVhRFURRvRw20ongVaqAVRVEUxdvRFA5F8SrUQCuKoiiKt6MRaEXxKtRAK4qiKIq3owZaUbwKNdCKoiiK4s04HEBm5oW/1xQORbENNdCKoiiK4s24y38GNAKtKDaiBlpRFEVRvBl36RuAGmhFsRE10IqiKIrizeRkoDWFQ1FsQw20oiiKongzaqAVxetQA60oiqIo3kxqqvvflyolux+KomShBlpRFEVRvJmcDHTp0rL7oShKFmqgFUVRFMWbOX3a/e81Aq0otqEGWlEURVG8GY1AK4rXoQZaURRFUbwZzYFWFK9DDbSiKIqieDM5pXBoBFpRbEMNtKIoiqJ4MxqBVhSvQw20j3LiBBATI68ZHS2vGRUlqxkRYY9mZKSsZmSkPZoREbKaUVE8jnxdMzoaOH5cXjM8XFYzJsYezbAwCwVyiECfSJCNQMfGAseOiUoiLg4IDZXVPHkSOHpUXjMkRFYzPh44csT3Na1CDbSPMngwMGiQrObTTwOPPiqr+cwzwCOPyGo++yzw4IOymi++CDzwgKzmyy8D994rqzliBHDPPbKar70G3HmnrOabbwJ9+8pqjhoF3HqrrObbbwM33yyr+d57QM+esprjxgHdulkokEME+o4BshHozz4DbrhBVBJffAFcd52s5pQpQJs2sppffw1ce62s5nffAc2ayWr+9BNw1VWymlahBtpHSU4GypXzfc2UFKBsWf/QLFNGXtMfXuepU/ZoSqevnj7tH5o++d7mEIEuVkbWQNvxeaamymeq+JNmcLCsZlqa72QeqYH2Uewy0NKGS027tZp2GEt/eZ3+oOkvpt1yzRwi0AFlZF+oHSbPrs/TXwy0P2hahRpoH0Uj0KpZWOwws/5iLFXTOvzFQDsRgMAyQRaKXohGoFWzKGpahRpoH8VfDLSadt/T9BeTp8ZSNfMlcB5nipdG6TIBFoq63w2fe2/dkJqqAwUrNaXTRqxCDbSPkpwMlC8vq5mS4h9m1p9Muz+kcPhLZNZfNH1ycOImAp1erJTfGC7VtAY78pE1B1rxahwOXtAlTZ4xGoH2NU01s76n6Q/RQ5/UdBOBTi1W2vdeZw6aduRd+4OB9hdNq1AD7YMkJ/NR0limpgJOp6zhSk/nl6Sm02nfQjd/iED7SwqHXWZW31trsCMCnRZQym9SGzSdQjW9ETXQPogdBtoOzZQUPkoaS1cgSHqgkJkpq+lw8EInqWmMRr19TdMno8F2aLqJQJ+GPRFofzBcqmmtpuZAK16LvxloXzftLk1J82PXQMHhkH2ddg4UNDKrmnnGTQT6tJGPQPvke+sGjXpbh+ZAK16Nv5hZ1+u0w8z6i6akybNzoCCpmZEhP1BwOnmz9Jeot89F2nMw0P5guOyqPe0Pr9NfNK1CDbQPohFo6/CXVJVTp/xLU9Jw2aHp8l/SA4WMDNlInjE+GiV1k8KR4vCfRYT+Eg32l9epBlrxWuw00JLmRyPQ1mv6urH0F02X/5K8QdsR3T9zhiZa8nU6HNSVjkCnOP0jhcNfTJ4/aWoOtOK1aATaek1/MdBq2q3TlDQi/mLa7XhvXd5WOgJ9yshGoI3xL5PnL2kj0mZWc6AVryYpCQgKAkqWlNPUCLRvadppLP3ldfq6afeXqLfI63QTgU6FbA60HdF9p5OGSxcRqqY3ogbaB7GruUiZMkAxwSMqJQUoUUJ2oGDn4jo17apZUOwwlv4S9bZcMzOTyeTn6wqXsROJtJ9HWhofJQ2X6+2W1NToftFEDbQP4m8dAQMCZDWDg2ncJTUDAmQvOnZEg/0lhUPNrG9pWm4s3USfAUag7XhvJa9Ddn6ekq8zI4PRdn8x7ZoDrXgtdhlo6QYY/jJQcDUXkR4olCjBVCAp7DB5/mLaNe+6CGvmYKClI9D+Ymb9RTM9XV7TGKYCaQRa8Vr8xVja1d7aX1pq29ERMDgYKF5cVhOwJ7rv61FvnzSzdmi6WUAIyEeg7TB5dkS97UhV8RfTbkdKjpWogfZB/MVAq2m3DjsaYNgxUHB155PM3T91ioMEO6L7vh6B9smody4pHP6STuHrqSr+YqDt0LQSNdA+SHIyUL68rGZKippZ1SwcrlQVaU27TLtkSs7p00BgIL8kNQHfz5n1lwi0pnCopqc0NQda8Vr8JRpsR961v5hZf4l6+5Npt6O9dcmSsik5LpMneYO23Fi6wurnkYKyPm9m1bT7lqamcCheT1KS/5hZjXpbgz+lcNhhLO2Kektr2vHeliolm5Jz+jRnEywrp+la6Xoep1BGI9CqqZo2IliMS5GiZk2gdm1ZzerVgTp1ZDWrVQMuu0xWs0oV6kpSuTLfX0kqVpQt1efSbNBAVrNCBXnNcuWARo1kNcuWBa64QlazTBl5zVKlgCuvlNUMDgauusrClJwcItAVLi0rmkcfFARcfrms+SlRgpqSpr14cWpKDv5cmpKBkoAAoH59+SBU/fryKaZWEWCMMXbvRFEkPDwcdf7vGMPCwlBb2rEqiqIovs/06cAjj1z4+61bgRYtpPdGUYocVvk1TeFQFEVRFG8lhxQO8bwuRVHOQQ20oiiKongrOaRwiCeYK4pyDmqgFUVRFMVbySkCrQZaUWxFDbSP8tlnQNeuspoTJ9qj2aWLrOZnn9mj2bmzvGanTrKaX3wB3HijvGaHDrKaX34JtG8vqzl1KtCunazmV18BbdrIan77LdCypazmd99ZmI6cQwT6x9llcM01FmnmwM8/A40bsyWzFL/8wkWaTqec5syZXIyamSmnOXs2Nc+ckdOcO5eaOZQat4T586mZnCynaRVqoH2UkBAgMlJW8+hRICJCVjM0VDWt4tgx4MQJ39cMD/cPzePH7dE8flxW88QJH9N0Z6CDgxERXRzh4RZp5kBkJI9dySZAUVG8/kmWJoyO5j1UshJRdDRw8KBsh9LoaODAAQtLMLohNlZe0yrUQPsoJ08ClSrJasbH+4dmQgJLrkmSmMiSa5IkJfmPpnRZJTu6hdpVH95fatJbpukuhaNMGdtq0vtDsyM7a9JLdygNDpZtdnTqFAcmkgMFq1AD7aPEx7N+sLSmP5hZf9G0w7QnJtpjLP1B0586lPpUgyV3EeiyZW1rsORPZlY1Pc/p0/JNnaxCDbSP4i8R6IQE/zDtdplZjUBbp+kPxtIuM+tTUW8vi0D7g2m3S1M7lBYt1ED7KHZFoKWNpR2aCQn2mFl/Me3+Eg32F02fMrM5YKlp96IItF0G2h8is/6iqRFoxevxpwi0P6RT2GXa/SUa7C+aGoG2TlM0hcOmCLQdhstfXqddZtYfXqdVqIH2UfwpB9ofTLu/pHD4k2n3BzPrL5r+tIjQH8ys5l1bh0agFa8mNRVIS5M1lhkZPBklNZ1O+dQGY+xLp/AH0+4v0WB/SuGQNlx2aWoKh+9o+ouZ1RzowqEG2geJj+ejZATapSlpoJOSaGgljeXp0yyuL6l55gwHRJJm1uHgjUtS0zU4UdNunaa/RIM1Am3drviLsVTTbg0agVa8mpMn+ShpZhMS/EtT0kAnJvJR0lgmJfFR0uSlptK4S2pmZFBXUtMY/0lt8KdFhJZoOp3u28T5WRk7NbPWoDnQhUMNtA/iLxFol6akmXUZaEkz6zLQkq/TZaDtMO2Smq52spIG+tQpmmhJzTNngPR0WU2nk69VTXshyKnHsuZAq6aHNKWjwRqBVrwaOyLQdhhoO6LB/hKBtlNT0uTZoWlHdN81UJA0lq7MA0nN9HTOKkhqWjpQcJf/DPiVgdZUFdX0VtRA+yB2RoN9XdNO0+7rBtrOqLcdBlrS5PmLgXa9TknD5QoSW6KZg4HODC6L9HTZ12mM/xgu1bQOjUArXs3Jk7ywBgbKacbHs7+95Mloh7G0MwLtL1Fvf4kG+3oEWk27B3C3gBDAmRJlrNPMgdRUmmhJzcxMph/ZMVDQVBXf0bQKNdA+iJ1dCAMC5DQTEniRK1FCTjMxkQOTUqVkNQF7Uhv8JQLt61FvNe3WYalpzyECnVqc7k7S5Llep6Sm6+VLGq70dC5mltR0OjlA8YdosEagFa/GX7oQ2tn50I6BQvHicpqJiRyY2DFQkDQ//pLC4S9pI3akcFhqLHOIQKcWk49Au3ZF0uTZYdrteJ2uNCBJzcxMDhYkNe1KA7IKNdA+iD91IfSHNt52NlGRHCgkJTEyIZl6lJQEFCsmGxHxl8isz0WDL6JpiclzjXzO1yxW3jrNHHBFg/1F09cNtF3RfadTI9CKF+MvEWi7DLQ/tLe2S9OuhibSA4WSJfklhR2RWX+JQFv6Ol0bP4+UAIr5TKQ9B+wwef5i2l2akmbWjtdpJWqgfRB/SadQ024ddplZf+lCKF2nOCmJNy3JNKDkZEb3JdOA7Ix6S0agkyAfgbYzncJfzKyvR71dmhqBVryWkyflUzgSEvzHzPpDCocdZtbOCLQkycn2aNrV0EQyup+SAgQF8UtSE7DIiOQQgU50ykeg/cVYqqZvaVqJGmgfxJ9SOPzBtPtLCoc/RaD9xbRLlwKzS7NUKYui+zlEoBOc5REQIBvd95cItB2LCP3FzGoEWvFqnE6aPH9YROgqnSeJnQv6/EHTH8ysXSkc/tJSW1ozJcVCTXcR6BIlkJhWEmXKMEVGipQUDhIkc/f9xVhqDnTRRA20j5GURBMtaWYdDur6QzTYXzTtikD7g4H2txQOSSw1s7loWhYhdReBLl8eKacCbGtvbUdKjmRlHn8x0JoDXXgCjDHG7p0oioSHh6NOnToAgLCwMNSuXdvmPSJOJxAeTjMrdSMxBggLo+GSNF3HjvE1Shr3sDCe/FWqyGmGhzPqU62anOaJE6wDXb26nGZEBG/ONWvKaUZFcQB46aVymtHRQEYGUKuWnGZMDJCWBvz/kiVCbCyNQd26cppxcTTu9erJacbH86t+fQs2fvvtwJw55/6ubl0kbDuKuDigQQMLNHMgMZHHUcOGcppJSTxHGzWS00xO5rXoiivkNFNSeM1t1EhugHLqFHD8OI8hqcXFp0/zfnb55bKDIqv8mhroAuKtBlpRFEXxEbp0AZYvP/d311wD7Nhhy+4oSlHEKr+mKRyKoiiK4o3kkMKhKIr9+KSBHjZsGAICAhAQEIBRo0bZvTuKoiiKkn/cLSKUTvJWFMUtPmegt2zZgk8++cTu3bCdqChgxAjmCUtx/Dg1jx+X0wwNBYYPByIj5TRDQoBhw5jLKsWhQ9SMjZXTPHCAmnFxcpr79wMvv8xSjFLs3UvN+HhZzZdektXcs4eaCQlymq7XKa354ovymi+8YIFmLhFol6bkMbRvHzUlz8/9+4Hnn5e9Dh04QE3J6+3Bg8BzzzHPXIpDh6gpeS87coSakvdsq/ApA52ZmYlBgwbB4XDYvSu2c/gw8OGHOZYRtYSDB6npWlEswYEDwLhxXCAlxb59wEcfAenpcpp791IzM1NeU/J02r0bGD+ei2Gl2LOHmpKrQfbsAT7+2B5N6fdW+nXu3Qt88ons69y7F/j0UwvOlVwi0Pv2UVPymrB/v7zmgQPAhAmymgcPUjMjQ07z0CFg4kTgzBk5zSNHqJmaKqcZEkJNV0WOooxPGejx48dj69atuP322+3eFduJiODjJZfIaUZF8VG6igIgWy3CNVqXrIrhioRIVv9waUrWFI+L4yp0ycoqJ09SU7KCjB2a8fH2aAKyabuuKLCkZmIiHz363mZmuncZ/39hlmheBDs0XUEgyc/TpSmZLeMaK0m+Tjs1fSETyWcM9OHDhzF69Gi0adMGQ4cOtXt3bCcigmViJM1PZCQQHCx7YkRFsQarZF3J6GjeQCQbCsTEsBa0ZOmf2Fga2RIl5DTj4vg6pcoquTQrVZLVPHlS/nXGx/O4ldRMSLBHs1w52eM2IYH1dD2q6WqJdz7/v8AmJrIToWTb8qQk6kle+xIT+b4GB8tpJidzsClZI9llLCXre9s5UFAD7UUMHjwYGRkZmDZtGopLXq29lMhIRoIli97boRkdDdSoIacH0MxKRp/t0oyNBapWldWMi5ONsgM0s3Z07vSXbqH+0GDJkg6lOeXfZYtA+0OH0qQkakreV1wNlqQ1pbtLJidzYCI52ExJoZ7kIMwqfMJAf/3111i6dCleeuklNG/e3O7d8QoiImTTNwBGgyXTN1yakukbAE27tKYdZtYuA22HprSZPXlSzayvaXrcWLrLfwbOiUDbZWalNbVDqXWadnQoLVtWdnBiFUXeQEdGRmLYsGFo0KAB3nrrLbt3x2uww0BHRspHgzUCbR2xsfLRYDs0T570j6i3mvYipumlEWh/MLN2adphZv1B0yqKvIF+5plnEB8fjylTpqBUqVJ2747XYJeBtiMCbYdpl45AawqHddhlZv0lhUPazNqhaYmZzSkC7WcpHHaZdjuMpb9EoH3FQAtmvniev/76C3/88QcefvhhdOvWzaPbDg8Pz/XvEa4yF16Kv6Rw2GFm1UBbR1wc0K6dvGaLFrKaJ08CV18tqxkfD1x+uaxmQgJw6aXymna8To9fb10lL85HUzh8VtMfzKwaaC8gKSkJQ4YMQbVq1TB+/HiPb9/VN70o4nDQcEkaaKdTPhpsjHwKhzH+ZWY1Am0NdkWD7XidPpFOcRESEy0YEOVkoP//4hITgcsu87DmRUhMBBo0kNVMSpIfhNkxUPCXCHRKiu8Y6CKbwjF8+HAcP34cEyZMQGXpu4KXEx1NQysZDY6Lo3GX1ExIYDMTyWjwqVMsOi+peeYML3SSpj0zk+ZH0kA7nfL5yMbYt4jQX0y7v+RAe9xw5dTWMJuB9ocUDn9Z0OdPEWjJUn1WUiQj0CtXrsTUqVNx00034b777rNEIywsLNe/R0REoG3btpZoFxZ/aaLiamgiGYF2tVmVNLN2aLpa9Uoa6MREmmhJA336NAdhkprp6YzCSBpop5N+TNLMGiOvCfhQGbucDPT/Hawlpv0i+FM6hT+Y9uRkoF49eU3pmU2rKHIGOj09HY8//jiCgoIwduxYxLppVp+Yberr9OnT5zynQoUKCMxDN4ratWt7ZodtwA4D7eprL2lm7exCKKnpOnwlLzp2aMbF8VHSzLoGCpJm1tWdT1IzKYmGVtLMpqZysCBpZjMzOTiR1HQNFDxuZt2lcBQrlhW+s8S052GXdBGh72j6S9qIVRQ5A33ixAns378fANCmTZuLPn/cuHEYN25c1s/Lli1D586drdo9ryAigjUWJc2sHQbajgi0HQbajgi0nQba1027HQbaNVCQNNCuAKqkpstzShrLlBRG+EUi0BUqAMWKIT0dSEuTNbNOp32LCP0h0u4vZlYNtI3UrFkTixcvzvU527dvx8svvwwAGDhwIB588MGsv/lDo5XISJotye5CUVE8KSRbn0ZFsbW15M3SZWYlDZe/GWhfj0DbYWZdpt0OTcnz007TLpIDnS3/2RLNXDh1itF2SZN35gy/JDWdTv/JgbZD05cWERY5Ax0cHIzu3bvn+pwS2Zxj/fr1L/p8X8OfmqhUry7fOrxyZRp3KWJigFKlZAcnsbF8XyXNj8u0Sxpol2m3w0DbkTbi66bd5TntMO1iEWjYY6Dt0HSVwpY0s3YMFNLT5QcKxthjZn1pEWGRrcKh5Iw2UbEOfylhFxtLg1e8uJxmXBxQujQQHCynefIk00olTYGdEWhJ0+5TZjYXLDOW7nKgbYxAuxoj2mHaJY2lHabdpSlpZk+fZrRdUjMzk2sjfCUCrQbaB4mIsMfM2qGpTVSswZ9qQFeqRBMtqSk9UIiP54yCpCnQCLSHNpwdGw20HWbWZdrt0JQ0ef5i2lNS5DWtpMilcOTEjh07sGPHDgDA3r17z/n9jz/+CACoUaMGevToYcv+SRIRAXTpIqsZGQlccYWsZnQ00KiRvKY/GGh/aeNth6adLbUlBwoJCRwkSA4UXJ5T0ohYtnDRSw20r0e97TDtdphZf9G0Ep8x0LNmzcLo0aMv+P3s2bMxe/ZsAECnTp183kAbQzPrLykcN9wgqxkTA9SvL68p3XHMXwy0HQ1N/KmJih0NTcqXl009Skjggu1SpTy4UYfjrNvIjp+lcNgZgfaXqLdGoAuOz6RwjBo1CsaYXL+WL19u925aTkICFyNIGujMTBouaQMt3cbbpSkdgY6N1Qi0lZr+YKBdqSqS+EsXQlc9Zo8uZnY5qvPJtoiwVCnZxcyJiXyNkgvA/MVA+0sKh0tTFxEqXokdTVRiYhj5ljSzqak8GSU1jbEnncKfUjikNaVbh7s0/SECbVdLbX9o421HF8LERJotyTSgxERG9yXTgOyIBvtLBNrXUjjUQPsY/tbGWzIanJTEckOSmg4HjaW/GGh/MbP+oqmmvRAbdUe2FA7p12lnExXJUqVJSUDJkkBQkJymHZFZNdCFRw20j+Ey0JJm1tWFUFLTZdp9vQthfDwj35JmNj2dNxFpMxsb6x+LCDWdwjrsyLu2pL11Hgy0v7TU9oeOgElJrPMvmbufnMyBiWR/AV8z0D6ziFAh7doB06axTJYUjRsDX34pa2YvuwyYMgW4/HI5zSpVqNm4sZxmcDA1W7WS0zSGx1CHDnKaTicwcSLQvr2cJgC8/z7QrJms5ltvAQ0ayGqOGCG/RuH55+VvlE89JZtiAACPPMJ1Jx7FXQ1oIMs133//2TKBUtx1l/z5eeutstdbAOjZU34RfufOwMcfy2pefz0waZJsdL91a2DCBEb4fYEAY4yxeyeKIuHh4ahTpw4AICwsDLVr17Z5jxRFURSf4NtvgUcfvfD3mzcDLVvK74+iFGGs8muawqEoiqIo3oSrXeX5SOcbKYqSI2qgFUVRFMWbyMlAS68EVRQlR9RA+zBhYUBoqKzmoUPAsWOymnv28LVKsm0bcPy4rOamTcCJE7Kaa9eeXZgqxcqVZxemSrF8+dmFqVIsWXJ2YaoExgCLF8tqOp3AokUsxSiFw0HN2Fg5zcxMD2u6M9AlSpxTpiEjA/jnH9nXmZ5Ozbg439f8+29ZzTNnqCn5edqluXChrKZVqIH2YT78ELj5ZlnNV15xn7pnJU89xUVSkgwcCLz3nqzmnXcCn38uq9mnD/Ddd3J6xgA9egC//SanmZkJdOsGzJkjp5maCnTvTmMgRXIyF0gtXSqnmZAA9OrFQZEUsbHUXL1aTjMmhprr13tog+6cW+XK56z4iooCbroJ2LjRQ5p5IDKSmps2yWtu3iynGREB9O4NbNni25qRkfKaUVH0JZKaVqEG2ofZvx+48kpZzUOHgEaNZDWPHJFtr20McPQoUK+enGZmJiPeki29T59mIExyfezJk4xQXHqpnGZ0NCOlvl473V9KP7qi3ZK1013RNI+Vm3QXgT4v/9nlsSXTol2akpkkrrdCUtNV4USy9KOrcqEdmpKlH+3QtAo10D6MtIE2hga6YUM5zbQ0GktJAx0fD6SkAHXrymlGRHBqWtJAu1JUJA20K0WlVi05TVeKiqRp19rp1uGzBvo8B+kys5I14l27JWna7TDQLk1JM+tvpl26jrkVqIH2UU6dYi6ypIGOjKSupIEODaVxlzTQR4/yUTIC7corlzTQrrxySQPtMu12GGjJCLQaaOuww0C7NCUNtMu0awTa87jMrK9HvV2aGoEuGGqgfZSDB/l41VVymocO8VEyhePIET5KNlSx00D/v5SlCOHhfJQ0sy4DLWksT5xg8w1JkxcZya5jkuYnKorr0CRv0NHRQGCgbLQpJkZeMzaW763HOtjllAN93lM8qpkH4uJ43Eq+tydP8vyUfJ0nTzLdXPJ1usyspKYdZtbVI0gj0IrXsn8/HyUj0AcP8qIjGQ0OCeFNRDJKGhrKTo+SU6dhYbzgSN5EwsNp8EqVktM8cYJGNihITjMigpqSbXQjIxkJluyaFxXF1ympGR3NSLBkt7OYGJ6bkpqxsR7UTE9njtj5uIlAV6ki+zpPnrxgLaOIZqVKssetqyW8pGZCAjt3lhDsD52QwFbegYGymiVLsstuUUcNtI+yfz9vXJLRpkOHaGQlT4wjRxgJljQ/R48y/1nyJnLsmGz6BkADLRnxBhiBlox4AzTQkvnPAA20dGvtqCjZ9A2ABloysg/QQEumbwA0sx7TzKlHt5tFhNJ9VeLi5EtRu0y7JPHxsvdOuzQTEuRTKezQtAo10D6KVuCwDukKHIB9Blq6Q/3x4/JmNiJCNv8ZUANtJXYYaFfU2yPkVHzYTQRachYMsMe022GgXVFvSdRAFz3UQPso+/bJG+iDB2UXEAL2GOjQUDXQVnHihHwE+sQJNdBW4S8G2qNmNo9dCO0ys/5goOPj/SfqLW1mExPVQCtejDHAgQO+X8LOGPsi0JIl7AD/MdB2pXCogbYGNdAFwIsNtL+kcPhTBNoOTV9YQAiogfZJTpzgGhRJAx0dTU3JFI64OHZXkzTQCQkcQUtGoFNSeHGVzEdOS6MRkTTQGRk8jiRTOJxOmllJTWPUQFuJvxhof0nhsMO0azqFb2lahRpoH8RVgcOOEnaSEeiQED76eg1oVz1mX2+iEhlJcykZgY6JYYMayQh0YiK7LUoa6FOn+CVpoNPTaUQkDbTTScMlaaCN8fAiQleB5/Pxggi0pnBYq+kPpl1TOBSvZv9+lsKRrI3sqjstaWbtqAEdGspHX2+i4qoBrU1UPI+/NFFx+UBJAx0fzwGRpIE+dYozNh6LBudkoLO9qPR0IClJ1sw6nfalU2gKh3WaGoEuOGqgfZB9+4AGDWRrO7pK2JUuLad55AgvOJIn49GjLNMnaQqOHWM9Usk0AzsMtKuNt+TrtKONt0vT1w20v3Qh9Hgbb9eLyE5wMAv2/h9XlodkCkdiIk20pGlPTeXgRNJAOxx8rZJm1hjNgS6KqIH2QewqYecPFTjsqgF96aWyA6LwcF5Ys92zLef4cRbYl7xBnzjBz1LSWNoRgXaZWcnX6fKBdhhoSU0RA31eNxpXpTvJc8Vl2u3QlDTQru58kpqpqVwDImlmMzO5hkgyAGWMRqAVL8cOA60l7KwjLEy+oYmdNaAlBycRETQ+koOTyEjO1JQtK6cZFcVZDEnz4zLtktFgn41An7dxj2vmAZdplzSWdhhoVx8bSTNrh2ZSEh8lzWxqKo27GmjFK0lNpcmzo4SdvzRR0RJ21nDihP80UbnkEtmBQlQUTaVkx87oaA4SJNO6YmL4GiWNiFgEOht2RKDtjHr7i4GWNJZ2vE5XdF9TOBSv5NAhGlrJChyxsRzNSkagMzIYmdUuhNYQFuYfNaDtMO1aws46YmJo8IoJ3tliYpjqVKqUhzbobhHheQY6NpYDMEnD5S8pHP5i2l1mVvIYskPTStRA+xj79vFRMgLtqsAhaaDDwrjYQ9JAJyXxQidpoJ1OvlZ/iUBrExVr8CcDXaRrQKencwXb+biJQFeuLDujEBfHNQoeGyjkAZeZ9ZfIrBroooUaaB9j/35eWCVz41w1oBs0kNN0lbCTNNB2lLCLjuY9VdJAp6fTcNmVAy2JGmjriI6WN7NF3kDnoYQdYF9DkypVZFOPTp7kdH+JErKaJUrIrlHwlwi0a2yoBlrxSuyqwHHppbIVG44cYfRFcnGdq4mKZA60q4mK5Ot0lZOT1ExO5pdkBNoYNdBWohHoAuAu/xlwm8KhTVSswVVOTnKgEB/PtQJBQXKaCQl8jZL5yJoDrXg1/lSBo04d2eoJR4/yAidpfvyliYrLtEsa6Lg45tJLRr0zM+mR1EBbg78Y6Lg4e9p4+0MTFX9paBIfD5QvL7teICGBgS/JYJuVqIH2IYyxLwLtDxU4QkMZfZa84Bw7xsiE5E3Ezi6EdjQ0kYxAx8TwPJU00GlpnDpVA22dpuUpHG7K2NmVwiGJv3Q+9Lc23pLRfSsRzCxSrCY9HXjwQeDGG2V1e/YEWrSQ1WzXTna6CwAaN5YtyQUw3/rhh2UvONWqAffeC5QrJ6dZrhzQr5+sgQ4MpKZkSo7DAdx1l+x6gbQ0akpW5snIAG6+GWjaVE4TALp0kb8WdegAtGnjoY3lMQLdrh1w9dUe0swjrVrJD06aNZMNWAC8zkundV1xheyCUIABqN69ZTUvuwzo00dW00oCjDHG7p0oioSHh6PO/5NEw8LCUFt6xZWiKIriW7z5JvD22xf+3o78CUXxEazya5rCoSiKoijeQFTUhb8LDJSf31cU5aKogVYURVEUbyAy8sLf1ajhO0mjiuJDqIFWFEXxE+xI2FPNfOAuAp3LitMi+zrzidOpmqrpfaiB9gNGjADWrZPTW7MGGDiQnfukGD0aePVVOT0A6NUL+OYbOb3kZFY7WbZMTnPzZpYodDXLkWDmTC6yO3VKTnPCBC54kzQHr70GdOwopwcATz4J3HqrrOa99wIDBshq3nIL8PjjspqdOwNDhxZyIzlFoHOgbVtg2LBCauaTa64B3nhDVvOqq4AxY2Q169cH3ntPVrNOHeDDD2U1L7kE+OgjWc0aNYBPPpHVtAI10D5OSAhPSFeZMAnmzQMWLZLt5PTHHzkvYLeCxES+RsmV0zt20MhKriXauRM4fFh2VfqePRwsSNYK3bePn6XkTPmBA/KVZA4fBoKDZTWPHJGvXnP0qHyt2dDQQl7zjHFvoHOJQIeFyVbLAXgvkdY8cUJW09VkSVLT6WTpR0lNh4MlEaU14+LkjyErUAPt48ydy5t0z55ymkuWAF27ypUfSkgAdu0CbrhBRg9gZBbwYPmqPLBtG9cTSZav2r2bkRhpMytZcg2gmfWHWuYhIcDll8tqHjsmWyrQGBpLyU6aTidNXqEaASUmshbp+eRgoDMzabgkSz+mpfF6KzmgTknhbJRkHfOkJH4UknXMExL4mUprOp2y5Qnj43mOSjcCsgI10D7OnDmsjSo12ktIADZtArp1k9EDgLVreUJ26CCnuXEjo02STWu2bQOaNJGNWu7aRU1J9u2Tr3F78CBrsUphDKPBkvWgHQ6a2Xr15DRTU2nyJDtpJibSdEka6NhY1r4uVHUsd9FnIEfnGBXF40jSzLp2UbIRkCstXNJAR0fzUdLMumZQJc2sS1PSzLp6BamBVryaxERgxQrgttvkNJcv54hW0kCvXs2LjmQ78Y0b2VhAMoVj2zb5JhG7dsk2w3A65SPQqamMWEpGoOPiGOWSNNAnTjDCJWmgw8L4KBmBtrOTZqEi0O4WEAI5utUTJ/goGYF2GWhJ0+56WyRNu78YaJeZtUNTuqulFaiB9mH+/ps3TMlFQ0uWcFpacpp49Wqmb0jmr27cKJu+kZlJMytpoBMSaEYkDXRYGA2tpIE+fJiPkgb6yBE+SqZwhITwUfLcPHaMj5IRaJdpl4xAe8RA5zMCbYeBjojgo6SZdb0tkhFof4t6S0aD4+LkNa1CDbQPM2cODZfkjWTJEtnoc0YGsH69bP5zdDSNgaSBPnCA+YeSBnrPHj5KGuh9+/goaaAPHuSjpIF2mXbJCPTRo3yUjAaHhnJgKxkNDgvj+gvJKGl4OGejCmW48hmBjoigpmT0MDISKFFCNnoYFcXXKbl4OjqampL9a2Ji5DVjY3l+Sr63rgi0L/QGUgPto2RkAAsWyKZvHD8O7N0ra6C3bmXEUjr/GZBfQAgAzZvLae7axQu6ZJ73vn2sEiEZsTx4kGsEJCM/R47wplWhgpxmSAgNnmRFjGPHaGQl8/bDw6lZooSc5vHj9LmFSunKKQKdSwpHzZpyi7UBmvYaNWQ1o6J4bkpqRkdzYCKpGRPDgYm0ZuXKsqmIcXE0z5Lnp1WogfZRVq3iFLykgV66lI9du8pprl5Nw9WypZzmxo280Enmkm7bxshhxYpymrt2MSpbsqSc5r59NOySF3RXBQ7JFCDpBYQAI9CSxyxAAy05GALkK3AANNCFSt8AzuZkZKdUqRxXgJ84IZu+AdDjS6ZvADTQdmhKDqiBs6ZdkthYezR9IX0DUAPts8ydy4urpLFcsoQRUskTcvVqRoIlI1yu/GdJw+UPCwgBzmBIl7CTrsAB+I+BDg2VN9Dh4bIpI4CFBrpWrRwvNBER9hhoydQYl6ZkLjJAMyutGRMjb9rtMLOxsb6xgBBQA+2TGMP851tvlTN5xgD//iubvmEMDbRk+oYx8gsIjbHHQO/ebU8JOzsMtNaAtgbpGtBAEY5Au+t2lYtDtiMCHRFhTzTYDgMtbWZjYuSjwTEx8gY6Lk4j0IoXs3cvI1yS6RsHDvD6L2mgjxxhdEJyAeGxY7zoSBroiAhqShro6Gh+SUag4+N5s5Q00CkpfH8lDXRaGs8VyQh0ZiYjs5IRaKeTZlYyAm1HExWAn2eho97uItAXMdB2RIOlNe1I4bDDQGsKR9FDDbQPMncuFwpJ5iIvWcJFAR07ymmuXs3H9u3lNO1cQChpoHfv5qOkgd6/n4+SBvrQIT5KGuijR2n0JCPQ4eFspCJpoKOi2M1NMgKdkACcPi2bwnH6NHULFYF2beR8cthoRgYH1ZIRaKfTnhxoO1I47MiBtiOFw44ItKZwKF7NnDlAr15cXCfFkiXAddexO58Uq1cDjRvLluDZuJE3Z8mbyLZtrNYgaUR27WJeuWRzmn37mHIkmY984AAffb2EndaAtg6P1IB2F30GcnTIri6Ekgb65EnOZEhe+1JSOLaQNNDp6ZwNkzSzxtgXDZbW1BQOxWuJjmZra8nmKQ4HK3BIpm8ArDQimf8MyOc/A2fznyUXLe7ezUiwZKmhvXs5SJAss3bwIEsqSUZEDh/m4KTQObP5wFUDWtLMhobKaxZZA+0u/zmXjbr8th1tvO3oQihpoF11iiU1ExI4OJE0s6mpwKlTsmbW4eBATCPQilcyfz4fb7lFTnPrVl4AJA30yZNs9CGZ/+x0Aps322egJbGjAoddCwilK3AcOcJIsGS916NHaXwkZ6WOHWMFNsnSi66GJpJRUjsi0K6OgL7ehdBf2njboWlHG++EBEbbNQKteCVz5zInWPJEXLIEKFMGaNdOTnPtWj5KGugDB4CkJFkDnZLCPF3JBirG+JeBlq7AYUcJOzsqcLhK2EnOnISF0VRK1hE/fpwpVmXKFHIj7sjBIZ84wdkhSSPiikD7SxtvO1pqS5pZl4GWPIbs0LQSNdA+RFoa8M8/stU3ABrojh1lazGvXs0LueRCLNcCwtat5TR37qShlYxAnzgBJCbKlrBLT6ex9AcDbUcJO7uaqGgJuzySzwi0qwKHdBfCChXY20UKu9p4A75voO007ZrCoXgdS5dywYVk/nNaGrBypT35zzfcIBvd2rSJZktySnrbNkaaGjeW09y1i4+SEejDh5kfJ2mgExJ4E5E00E4nDbQ/NFGxowuhHU1UwsM9YKBdydvZqVQpR7caEWFPCTu7akBLt/EuV052oBAdzdcoOVCwIxocFyevaSVqoH2IOXN4Y776ajnNtWtport3l9NMT2c0WDJ9A7BvAWHjxrLttHft4kI+ScO1bx8fJY/dgwf5KGmgIyJ4vkga6PR0mjy7UjgkKbI1oN0Z6FzePLuaqPhDF0K7SthVrSo7UIiJ4SChUKlH+cRl2iUHClaiBtpHMIb5z7fdJhuVXbKEJ/4118hpbtlCEyJpoDMyuFjSXxYQNm4sezHfu5cBN8npRDsM9JEjfJRM4QgL4/VBckCUnMxSYJIpHHY2USl0BNpV8y87ubwQOwy0nRFoSfylC6FdbbwrVpSt7mQlaqB9hC1beFG1I/+5a1dZs7V6NUfO114rp7l7N027pIHOzAR27LCnhbddCwglB38HD/JGWaGCnKarBrRkNNhVwk7SQLsCqpIR6JMneY5KpnA4HIzMFspAp6efXS2XHS+LQNvVhdAfDLS/dCH0pRrQgBpon2HOHI7sJKOyiYnAhg325D+3awcEBsppbtzIQYKkaT94kIZA0kA7nfYaaEnsqsBxySWyta5DQjgw0RrQnic6mia60DWgjbnw9zm8EFcXQmkzGxFhTwTajjbe0qZduxAWTXwkkK60bg2MHClrKhMTgbvuAnr0kNMEGGHq1ElWMyCAtbUljc/Jk6xRLFnCLi6O0+7NmslpAlxpL5kGBND4SGumpckPTlJSeBxJVslJTGRkXzJKGh/PTqiSBjoujpqFMtDu8p+BHEcfcXFA+fKy7+2ZM/T40qY9LU3ezKamypvZtDR5TTteZ2qqfNTbSgKMcTf0VS5GeHg46vz/Sh0WFoba0ku/FUVRvBhjZFNyXJqAPboF1vzxR2DgwAt/v3Jlrq1W7Xp/VVM1i5qmVX5NI9CKoiiKx5G+SdqlWWjdnCLQFwml+8v7q5qq6a1oDrSiKIqi2IW7ChzFismvElQUJV+ogVYURVEUu3CtuMzOJZfILmhRFCXfqIFWlCKIqw2rFNu25dxt2AoyM4FvvjlbeF+CzZuBr77i4kIpfvwR+OMPOT0AGDMGWL5cTi8zE3jySWD7djnN48eBwYPde1Or2L4dePxxLmbMFyEhF/4ujzUHly0DBg1iZQ4p/voLePppOT2A58lLL8lqTp0KvPaarOaECcCoUbKaH34IvPuurObYsdQt6qiBVnwOY852tpNgzRrg9ttZNUOCvXtZ2um//2T0AOCpp4AhQ+T0Nm4EHnvsbLMTCX7+meayeHE5zY8/BubPl9M7c4Y3r9275TQPHQKmTJE7PwCa2WnT5PQAHrPffJPPSj3GnC3UnZ08FgpfswaYPVs2WP3ff8C//8rpARworFwpq/nvv8C6dbKaixezp4Mk//wjO7gFgL//lr0GWYUaaEUEp5OleiT46y920tu2TUbv/fdp9CpWlNH77jtqtWsno3fiBG8kd9whowcAixaxDJpk45qVK4Ebb5TTS01lo5y2beU0d+9mRFiynvnOnXyULBm4dy+NrGRJuwMHGDguWTIf/xQV5f7CmEcDffgw0LBhPvQ8QEiIbFMegDMJkl0tAa7tlG5F75G28PnEX7paWoEaaMVyjAFeeAHo1cv66fGUFGDoUNZslqifvGsXW6iPGCHTjTEzE/j+e2DAgHzeqAvBX38xKtunj4wewEhMt25yLV9TUhj56dhRRg+gnsMhNxAC2I4+IEC2zvfOnbxZSjZt2LuXjXkkO6QeOFCAxjzu0jeAPDvUw4eBBg3yqVlIQkJkO2kC9hlo6bbw4eEeaAufT6QNtDFsyiNdU9wK1EArlvPBB8DEicB991k/PT5qFBsNfPaZTLmcDz/kRfa++6zXAhiZjYgAHn5YRg/gFHHnzkDlyjJ6iYmMeEs26Fm3jmZWMgK9YQMQHCzbWGXrVjZVKVtWTnPnTvnmMXv3AldfLat54ADf23yRk4HORwTa1w2008lCJZIGOjOT11lJA52WxjUfkhHolBQgKUnWQCclcfZNDbRSpDl1iubISr79Fnj1VeCtt7iQyEq2bwc+/ZRaElOMoaHMm33pJbkub99+y6nwli1l9OLjmX/Yr5+MHkA9hwPo2VNOc+VKtpiVNF3r1wOtWsnmr27dKpu+AXCWRjJ9wxh5A+1wMNdb0kCnpnLKX9JAx8dzgCtpoKOigPR02XSKEydo3CUNtGuRtmQEOiKCj5IG2qWpBlopkhgD/P47pzjvv58XKCuYN4+r0gcPpqm1EqcTeOIJvqYXX7RWy8X48czTHTRIRi8uDpgzB3jkEbli9PPnMxpz++0yegDTNxo0AOrXl9P87z82fZMs8r9hg2z+s8PBQabU4AvgIP3wYVkDHR1NoydpoENDWQkj3wba3QLC4sXzFIY8coSPkjnQLr8vaaBdZbIlI9Cu3jaSBvr4cT5KGmiXaZc00JGRfNQcaKXIsWcP0L07cM89vJHu2gXUqOF5nbVrqXHrrcAXX1hvTKZNY0Rv8mSZiF5MDEuePfssUKaM9XoAMGMGBwr33y+jB3CGol072Yv6okWy0ef0dKZwSKZvxMTQjEga6EOHaGglI9B79nDALpnCsXcvHyUN9IEDfMy3gXa54OzUqZOn5P/Dh/koGYG2w0C7ShH6uoEOD+ejZAqHHQZaI9BKkSMpiakGzZtzRD9/PheHWRHl27uXC85at2aKg9V5z1FRwCuvAI8+KmeCXDnWzzwjowcwfeOWW4Dq1WX0Tp8GFi6Urb5x5AiNnmT+8+bNzD+Uzn8GZBcQuspjSVfgCAgAmjSR09y7l/5TMjJ74AAX9ebbcB06dOHv8uiIDx9mpRHJSF5ICAMGkgtCQ0OBcuXkqhwBNNDlynGGUYrjx6lZrpyc5okT8poRETyGJDWtQg20j2MM8MMPwJVXAl9+yTq3u3YBN99sjV54OKttXHop0w1KlbJGJzsvv0yT/sEH1msBQHIyMGkSU1OqVJHR3LGDBuiRR2T0AEaCU1NlDfTixfwsu3SR01y5khd0SWO5fj1NiGQ5sK1bafCkjlmA15oGDfJZG7mQ7N1L8yyZW37gADXzFSxISzsb6sxOHp3/oUMMgEimHbkWEEpquipwSGraVYHDH0rY+UoFDgAQKhKl2MG2bYyQrl7NdIqPPrL2ohAfD9x0Ey90f/8tEzFYupRdqr75Ri4qMm0aTbRUrjXA6HP16tYNfNwxezbraed7WroQLF7MqKxktGnlSqB9e1nDtWEDX6ekKbBjAeHOnbL5z0ARq8BhzIW/z6OBtqsGtD+UsDt2TN5AHz/u+yXsAN+pAQ1oBNonOXmSxrlVK5raJUuAX3+19oKQmgrcdhtHl//8I3MhOHOGHfJuvBF46CHr9Vya48cDDzwgd4FNT+cg4YEH5ExeRgbrW0tGnzMzeaxK5j87ncCqVbLpG8bILyA0xj4DrSXscsBd+gaQLwPt6yXsAP9pomJHBPr4cY1AFwY10D6E08mFbVdeyWYbH33EKHTXrtbqZmayscfmzcytvuoqa/VcfPghc2YnT5ZrmPDTTxy1Dx8uowcACxawPqhk7ef//uPgS9JAb9oEJCTI5j/v2kVNSQN96BDfW8n85/BwVnGRNNAxMVyfIBmBTkykKWjcWE4zNZURS0kDnZnJAh6SBtrVddxfDLRGoK1BDbTidWzYAFx3HcvG3XILIyIvvGB9xNIY4OmnGa2cOZP7IMGhQ8A77zD/WWqBksNB0963r2yE69tvOZsgaURmz2YERrLk2eLFQPnyspHZlSt5jkia2fXr+SjZpnzrVj5Kfp67dvFR8rjdt4+Pkufn4cO8DnrMQOfBFR87RhMtaaAjI5m2LWmgExK4AF7SQKelcfAnaaAdDppZyQi0MWqgC4sa6CJOTAzrELdrx2n3VauA6dPlcoxGjWJO8Ndfy+XnGgMMGcKT8M03ZTQBVi3Zv59tu6WIimJUX3LxoNMJ/PknBwqSObqLFsm27wZooFu3ll3ktmEDWz5LdXYEaKCrVJG9Qe/cycoUknm6rhJ2V14pp1ngEnbuDHTt2nlaee0qYefrNaDtKGHnKicnaaCjo2miJSPQiYmcPZE00GlpnH3THGjFVjIzWQniiiuAWbNYa3nTJuCGG+T2YfJkVvV4/325HGQA+O03mq1Jk+SMjzF8nZ07y0XZAeY+Fy8u1yoc4HF0/Lhs+kZSEmuHS+Y/G0MDLZm+ATACLRllB1jB5dprZQdEO3cyEiw5INq7l2ZLqjY7QANdoQJQrVo+/3H//gt/l4/85xIlZPN0XT1f7DDQkq9Ta0Bbh6tpm0agFdtYuZJT+s8+y+oaBw5wMZ3V9Zaz88cfjAI//7xsPnBCAjX79WOqihTLlgEbN7LetBTGMH3j9ttlo5WzZzNa2aGDnKYd7btDQngTkTTQZ85wXYJkygigFTisxLWAMF+Dk9Onz7rD7OQxdH74MAcKkoOTkBBeFyTr9x47BgQFyUYsXQZa0sz6SxdCX2qiAqiBLlJERrISQ8eOnOXbsAGYMkW2qD0ArFjBRYP33suKFJJRrTfeAFJSgAkT5DQBRp9btJA1eJs3A7t3y6ZvADTQt90me3NevJg1baXbdwcEyM7abN/OqiqSEei4OJoCSQPtdPLY9QcDffBgAdI3Dh50//s8rsA+dMh/KnDUqSO3SBzguVKlimxaV3g4BwqS93KXgZY0s2qgFdtISeFN/9tvgTVrmLt5PpmZ1u7Djh00Vx07Mtda8sK2cSNTVcaMkY0ObN5Mg/fKK7KDhW+/ZXRA0rTv3cuZZcn0DUC+fTfAmZymTYFKleQ0N2zgosUWLeQ0XQsIJQ10aCivV5Il7NLSWJWnSJSwc5e+AeQrAu0vBtpfKnBceqns/fTECV77JJqduYiIYGBGspmTlWgjlSJEw4a8QeQWGWzfnib6hhvOfnkqf+zoUTZKadSIeddBQZ7Zbl7IzASeeAJo1gwYOlROF2CHwwYNgDvvlNNMS2Mb9CeflE3NmT2b+aOSpeSOHmVATqqTpIuVK2VfJ8D85xYtuLhOiq1bGU1r1EhOc+dOPkpGoA8eZORb0kAnJHABWL4NtKtcyPnkwUAbw/uAZFlLgAbaXdDGSkJDZdvAA/bVgPaHEnaRkUCNGrIDBStRA13EyM08JydzsZDTyTzLzz/n72vXPmumO3TgTS2/0/MpKWzRXbo06xJL97H/4gu+prVrZVMLDh5keb7Jk2V1//qLN2fpm+Ts2UDv3kBwsJymHe27IyP52Y4dK6cJMAItHWnfupWmXXIgtmsXu0lKmgJXBQ5JA+3KxPBIBLpkyTyFW6OigFOnZCPQmZnMR5ZsPQ/QQEt2XwVooDt2lNU8flzbeBdFfGQcoACMbjmdF/4+PJydCJ99lnVgK1XiTXz0aLbCPnXq4tsuU4aLBv/5hy2lJTl+nLnPTz4pv/hq3Di+XskqIwDTN9q3ly3HFRbGChz9+slpAkzfaNtWtn33qlV8lFxAGB/P6X7pChx2LiCUTHnau5eVMCSnh10l7PId3XcXgW7UKE+jHFf1O0kDHR7ORb6SKRxpaRws+EMKh79EoNVAexGxsbGYPHky+vbti7p16yI4OBilS5fG5Zdfjv79+2Pu3Lkwxti9m2KsXp2356WkMOo3ahTr7laowJv6iy8yNSM6+sL/CQigAZfOuwMYWb/xRuDdd2V1o6KA775jQxrJiOzx4/x8pBcP/vkn83MlIz4Oh3z7boBrCerXl72BbNzIR8lBYEoKg53awtsaDhxghYh8zcg5nWfD5dnJ4wJCVw1oyQW3dtSAPnaMj5IGOiWFM3+SBtoY+yLQ0qbd1wx0kU3hePnll/H5558jLS0N1apVw/33349GjRrBGINly5Zh5syZ+O2339C1a1f8/vvvqCxZB8wm1qwp2P85HLy5b9wIfPIJf3fllTStrq969WSjSdm56io2E5GmenVg4UKWDJTkzBlWW7nnHnnde+7hgEoKV5kqaQO9d698/eft2xlll2x+sWsXb9CSBjo9naZ9yBA5TYCfafv2spoFWkAYEsIOFueTx2Tfw4c58JOsEuEy0JJm1o4mKnbUgE5IYFVDSTNrVxfCyEjfaaICAAGmiIZoa9asiaioKHTq1Al//fUXKpx31583bx769u0Lh8OB66+/HitXrkQxD2auh4eHo87/z7KwsDDUlh4+umHaNEYuV68+W6LGU9SqRcPRsSO/rr7adxYCKPZiDL8kjydj6GEkTYgxLCknWarKFd2qUYOzC1KaERFc3S9Z4SQigsEAyUtxdDQ7uuUrhWPOHBZ3P5/ffgPuvvui/x4Xx8+0WbN8aBaShAT59KPkZA4AW7eWO3ZTUznQbdoUKFtWRjMjg2uXGjSQuzY4nQyY1akja6I3beJrlM6lt8qvFWkDHRcXh8OHD+OyHJbMPvnkk5gyZQoAYMaMGbj33ns9pu+NBtqFMRy9r1599mvnTv7eU1Spcq6hll6kpCiKUiR5913g9dcv/P3u3UDjxvL7oyg+jlV+rUjHEFu0aJGjeQaAO7PVHZs7d67ELnkFAQEc4d1/P6tXbN/OBUwLF3IxXufOha/9GBfHnNkXX2SEoHJl5s5+8AGwbh1H1YqiKMp57N594e8CA2XrDCqKUmiKbA70jBkzUOUiy63rZkueOuZakeCnVKjAGs433cSfMzK4On/lSlYkWLUKiI0t+PaTkmjQFy7kz2XKANdfT7PeuTNNtmTdaEVRFK/EnYG+8kq5PAVFUTxCkY1Ad+nSBc0ukgSWkJCQ9X2ZMmUs3qOiRWAg89leeom1f6OjuQhn2jTgwQcLv9r61CnmY7/+OutPu0rnvfsuFzump3vmdSiKkn8yMz2b0pUX3FX3sZJTp9hwRPJ1hoRQM0cyMtxX4ChEt5CNG9mMSJJFi1h6TQpjgN9/Z2UkKZKTmZYeHy+nGRlJzZQUOc2QEJa5PXNGTnPvXmDGDPdld4sSRdZA54UQ19JhAB2lK6MXMQICWO1i0CCWbjtyhBfIGTOAp54qfEmq06cvNNS9egHvv8/61Va3IFeU/PDzz7yBSvHAA2zYI8X48UCbNnI3sIwMZii4qvxIsHgxF2a5KitIMG4c0KdPLk/Yv9999KAQKwKffBIYM6bA/55vHA6ugZQ8Xo8fZ4UgVylICXbtAvr3P1tOT4K1a6l5+rSc5r//AgMGyFbZmjePx61dlb08RZFN4cgLs2fPBgAEBwfj4Xy2dAu/yPA6IiKioLvlMebOBSZNYok3K7rk1aoF3HsvvwDmPa9axbSPFSuYAuJwFGzbp08zirFoEX8uV46LErt25Vfz5lrlQznLsGGcMclDkYJCs24d1w/ksShCodm9G/jpJ6BvX+u1XMycyVkmqXNs/Xqmed1wg4wewGtU3bqybZnXrQOuuy6XJ2zf7v73BTTQ6elcIP7oowX69wJx6BCbnEi2ad+zh4+SayxdzSIly04eOsR7YbVqcpohIaxcI5liefQoz0010F5KdHQ0/vrrLwCsGX1pPmu11JFuRVQAatRglGXCBKZiWElGBjB1KvDcc2crMCUns8LHihVsTLFxY8EXDyYns0X4ggX8uVIl5k5360ZDfdVVRf9k8zWWLeOgx+oW5//8A3z0EdOLJBgzhjfqbGuQLWXaNN4wb7tNRu/oUZaTsvqakZ2//2blHsma6itWAJ06yemdPg3s2MHIWo7kZKCbNy+Q5u7dvOa2bFmgfy8QO3fyUbKM3p49XPguWRP6wAGWeZPM/jx0iLMmkve6I0dkG+QArBIm3WHSCnw2xjds2DCkpaWhZcuWeOONN+zeHUto25bdAd988yJ5dx5g/37gnXdoKly5UuXKcVHie+/RSCcksKvcyJEsbVeYEW18PHOzn3mGZqZ2bWDgQGD6dNkpWcU933zDwc0PP1irk5QEPP440KMH8Nhj1moBHAS6qtVIRGfT0vgePvywXATojz+AkiWBW26R0QNooHv2lCt1mZgIbNsma6A3b+aMXL4j0JUqFbh49ebNPE4lzeyOHQzeSEZJ9+zhOkvJUqn79xegSU4hOXxYNuINMAIt2dUSUAPt1fz444/4/vvvUb16dfzxxx8oWbJkvrcRFhaW69eGDRss2PP88/bbvJA9+aS1i2WaNgX++otRxwED3Ocsly7NaPHo0Yz+JCTw+SNH8kZWGINw4gTw449sb33ZZbyYDhnC1uOSizwUmudBg3jMPfSQtVrDhvHznTZNJiozdiyPLakukLNmASdP8v2UYuZMDnzz1X66EERH0+i5KgBJsGoVr4eSBnrdOkYrc10P6M5AN2tW4IN7yxbOzklGSXfskDXsAA20dIns/ft5LZDk0CF5Ay0dgTaGs2DSzVSswOdSOP777z88/vjjKF++PBYsWIB6BfyUvKkxSm6ULQt8+SVrMP/wAytoWEW3blwJ3a8fc+6mT889Sleq1NkydgC7PK1bByxfzq916wpejePAAX598QX3oXVroHt3Rirbt2eEzR+JiOAMgVUXp+zmedIka6O0S5YwbWjyZJloxZYtXFfwww9yka5p02jypCJdYWE876yeOciOa52DZLv2FSvYYU0ysrZuHRdm5njsnDjhvoxEAdM3AB6zkukbAFM4JPP1jaGB7t1bTtPhoJkdPFhO88wZLliUNNApKSxfK3mexMdTVyPQXsaGDRtw6623IigoCP/88w9aSSbc2Ujv3owKv/CC9aWibr2VN98ff2QEOD9R71KlgC5dzkao4+O5Avi11zjtWVDT4nQCGzawRF6XLmebunz6KXMEi2avzfxx7BjTXS6/nCk9ViBpnpOTmbLRpYvcTWzsWFaK8GDD0lw5eJADScno86xZLGF5661ymv/8A1x7LVCzppymK/9ZKpfUGFZQyDV9Y/Nm978voAPOzGRAW/I2l5zMiKVkBDo6mvcKyQj0sWM0tJIpHCEhPI4kDbSrUJlkBDo0lI++YKB9JgK9efNm9OrVC8YYLFq0CNfleiXzPT75hHmGL7zAFf1Wcu+9rLE6aBCngT/4oGA3qtKlGdXu1o0/JyezwsfSpVwcuWNHwfbv9Olzm7pceimjXz17MkJdtWrBtuuNHD7MHPTvvmOznDff5MDG02Q3z59/br0xeeUVICaGx4JELvL27eysOX269YsiXXz1FVCxotxiRYDpGz178liRwOmkgZbIX3eRnEyvKlmZIjycsz+53na2bHH/+wI64H37mEMvGYF29YCRXkAIAFdfLad54AAfJVM4Dh3iY4MGcpqutVOSBtpVs9wXUjhgfIAtW7aYSpUqmbJly5rVq1eLaIaFhRkABoAJCwsT0bwY331nDGDMggUyep9+Sr0xY6zZfmysMdOmGdO4MXU88RUQYEzr1sa8/roxK1cak5Fhzb5bzZ49xjzwgDHFihlTo4Yx48YZk5xsjdZXX/G9e+opY5xOazSys2wZ9SZOtF7LxZ13GlO/vtzxcOaMMdWrGzN0qIyeMcacOMHj/9tv5TQ3beJnuXy5nOY//1Bz7145zd9/p2ZERC5PuvXWCy9IpUoV+KCbPp2bSEws2D4XhClTjCle3JjUVDnNSZOMCQw0Jj1dTnPCBGNKljQmM1NO89NPjQkONsbhkNP85BNqSlzXs2uWKiWraZVfK/IpHDt27ECPHj2Qnp6OhQsX4vrrr7/gOaNHj0br1q1t2DtZBg5khPXJJ2U6GT33HBcxjhzJdAlPU6UKo567dzPa4sqBq1iRaRoFwRiW8HrnHZZgq1KFEcBp04pGdY/t27nArUkTTv9PmMBpuJdfZj68p/n6a34GTz0lE3k+dYrRyhtvtCaS7o6dO1mZ4vXX5aLP8+Zxavrxx2X0AFa1KV5crlwewFmxcuW4LkGKFSuA6tVlo4fr1nFKOtc0FXcpHC1aFPig27KFKUflyxfo3wvEzp1MawgOltPcs4eakp3ODxxgKoVk1Q9XCTvJ/gchIYw+S5bNCw1lIQBfKEtbpFM4du3ahW7duiE1NRULFy5Ehw4d3D4vJCQEm3PKP/MhAgK4oLBpU07lS3T9eu01Tpm+8AJXgltlCK68kjWi160Dhg9nqkebNjRaBw7QTBZk0JCUxLzQWbP4c61avKe1acO1PWXKcEHixb4CA629IGzcyMHKnDmc+vryS1bAsHKxpLR5Bng8RURw2l/qRvL223xPBw6U0QM4YGvXTrYZxcyZTJcq6OCzIPz9NzUlmzSsWMEympI36Is2UDlxgl/nU4j8CzsWEO7YIXvMAmz7bEcFDukSdnZV4JAuYecrFTiAImyg9+zZg27duiE2NhYjR46E0+nE8uXL3T43MjJSdudspH59NoIYPhy47z7WiraSgADm4KakAE88QcM5YIB1etddxxvkggXMk/34Y+Cuu9jpLC6OudOLF3NRYUHaFB8/zq/58/P/v0FB7s31tdcWPC991SoavH/+4QX9u+/4uVodjfnqKw6GJM3zypXAZ5+xzbTUjWTPHlaWmTJFLsIVGsrPU6oxDMBo94oVfJ1SJCZyYd3nn8tpnj7Nc//jj+U009MZXL7rrlyelFPZ0zZtCqTpdLITrORsgjGMQEtWUwF4jubanMYCDhyw9j7mjkOHzjYpkyIkhAu1JQkNLfBh73UUSQOdlpaGbt26Ifr/JSfGjBmDMWPG2LxX3sPzzwMzZjB6uHmz9cYgIACYOJEm+sEHaaKtvBAEBLAJxE03sRrIm29yUcvgwUwnGTOGq7aXLaNRWbTo7MKFwnDFFTTwrVtz2iszkyu1z/9KTz/353w2wYQxXDw3dixNT9OmwC+/8AYtMaXoMs9PP81qGxLm+fRpLvpq357NgaR4+212G7O6nnV2vvmG50j//nKaf/7Jz1Gy/NiSJSwH1quXnOa6dezMJ1n/eccOLuZr1y6XJ61f7/73uf5Tzhw8yHQnyQj08eO8rkpGoOPiWPlPcgHh6dOswiEZgc7M5D1KcgGhMTTQkottARroXAebRQmPZVMLEh8fn5UQnp8vT+KNiwizs2ULF3u8846cZkYGF2MFBRmzaJGcbmoqF9FVqmRM6dLGvPnmuQtrnE5jDhww5rPPjOnTh88p7GLEatWMeeghLh7y1CIep9OYefOMue46arRqZczs2bKLSqZOpfbTT8su8njxRS5m2bdPTnPvXi6qmzxZTjMz05jatY0ZPFhO0xhjevQwpls3Wc3HHzfmqqtkNUeONKZyZdlzxrXILdeFdV27XngRqVChwDv600/cRFxcgf69QMyfT82QEDnNlSupuWOHnOb27dQUqkdgjDHm8GFqSt43IyOpOXu2nGZSEjV/+klO0xjr/FqRNNDegLcbaGOMGT6cK4n375fTPHPGmN69aVJXrpTTNcaYkyeNGTGCRqxqVa6kPnPmwuelpRmzZAnfn2bNCm+mAwNpUCZOLNjNxeEw5o8/jLn2Wm6vfXtWUpE0sMbYZ55Xr6aR/fBDOU1jWMWkdm0eD1LMm8f3eONGOc3YWA6mJQcKTqcxdeoY8/zzcprGGNO5szF9+8pqPvCAMW3b5vKEzExjypW78MLRvXuBNV96yZh69Qr87wXi/ff5MiSvDVOmsNKQ5Dn622/8eGJi5DRdlWOOHJHTXLuWmtu2yWnu3EnNVavkNI3RKhxKAXjrLS6KGzy4YPnABSEoiBUN2rZlmoXk2s1KlYD33+f05u23c2HjVVcxnSX76y9Zki3HP/iAVS2OH+eCubvuKlh93IwM5l0/+yxTO5o3ZyrJ5s25N3FxOLhvzZqxEkjFikzdWL2aFUckF0FNm8bjRDJtA2B3ykcf5fHy4osymgCPkZ9/Zh69ZNfKadO4SFWy+cVff/H4v+MOOc29e1nVRjJ948wZpnB07CinCeRhAeHu3VxpfT4FTN8A7F1AKHld2ruX6yEkz9H9+7nQVrJfwKFDTLWsU0dO044a0L7URAXwsU6EyrmULs1WyCtWMO9SilKlWC3i6qt5A3UV35eidm3m8bou+AMGMG950yb3z7/0Upq4339n847//gNGjCh4s4AdO5i/3Lo1y/U88ww7LmZknPu8p5/mvtWpw8WCS5dyQYd0eZ+pU2mehwyRNc8AMGoU8/C++Ua2ZNQ77wA1asg2+IiIYPm6QYNk3+OZM2kqa9SQ0/z7b5Y6k8xF3rCBuciSmrGxND+5euHVq93/voC1/Yyxr4W3ZAMVgAsIJfOfAS4glCyBCPAYuvxyuTKaAK+7VarIlkE8epQDhUsukdO0EjXQPk63bsDDD7NOcESEnG65cuwEWKsW0L372S5LkjRpwujbypVny9FdjMBAlsZ7/31Gp8PCWLngtts4IMkv4eGsQtCjB2vTDhzIknmnTjFivXEj36cbbsj/tj3B1KmsnjJkCCtgSBq7DRuAjz6iiZYsU3X4MBefjhghW8/22285Q3P//XKa8fEcvEkv2vn7bxrZUqXkNFes4AxS8+Zymq61gblGoNescf/7AhrokBBWOJGcxUhPZzRYuoTdnj3+U8JOcgEhwONIuoRdaCgDRpLBEitRA+0HfPQRzaNkdQOAKRWLFnGE262bfY1KOnSgiS7Ixb92bUZn//qLK8IXLqTZLMgUVEICjduddwLVqrF6yP79vBnagZ3m+cwZ4JFHWOJv2DA5XQB4911Ozw4eLKfpdHJW5O67maojxdy5nPno109O8/RpzuLcdJOcJkAD3aGD7M15/Xqey7lOg7uLQDduXOCC3K60uGuvLdC/F4j9+1kpQjICnZTEAISkgTbGngj04cP21ICWTN8AaKB9JX0DUAPtF1Spwo51M2fSCEpSowYjYAEBNNGxsbL6niQ4mKZg0iSO3nfsoBm77rr8m8/UVHaGe+ABRqb79AGmT2fEUIK//7bPPAMsNXjwIF+z9LTl99+zTrpkdHTpUmpLdh4EeM7fcEP+SykWhhUrOECSNNAZGQz0SqZvAGfzn3M8f06c4Ad/Pm465uaVLVs4syeZkrNjBx+bNpXT3LePj5IGOiaGgQ7JCLTTaY+BdnUhlMSXmqgAaqD9hv79uajv6aflI5516rAm7E03FWyRnjcSEMCI9quvsllERAQXIt52W/6NWXo6G7c88ghvijffzOl+K810165c0GaHed68mQs433xT9oYMsOlP5cryjRmmTWMup2SqTlIS66Dbkb5Rt65sFG/zZka+JQ2008kIdK75zytWuP99IQ4Eu/KfL7tMdvZkzx5em666Sk7zwAE+Sh67x49zwClpoDMyOCNsRwqHRqCVIkdAAPDFF5ze3LVLXr9BAzZbker2Jk2NGlyI+NdfjLL/+Sdzz6tUyd92MjKYJvLoo9zmrbcy7cPdIv7CEBQkv5jNRWgop9pfeUVed/p0rgcoSD57QYmN5WyD9Ps9bx4HZ5LpGwAN9E03yb7WFSu4zkEyrWHfPg5Scs1/zslAF7BUiF0LCO1o4b1nD82W5Lm6fz+PW8l8ZNf6IEkDHRbGKlCSEejUVDbFUQOtFEkuu4xTRXYtWPMXSpdmGb1vvwUiI4Hly9kdMr8XjowMmqCBA5nmcdddLBGYlmbFXsvRrx+7REoPpipUYHnBp56S1T10iJ/9gw/K6i5fzvKAl10mp3n0KKN4duQ/33CD7DG1bh3NVq5tif/778Lf1a5dYOcSHs4BmeQCQsC+ChzSCwgPHOC5KpnedegQUKyYbGqDK6tIMgJ97BgffSmFo0i28lYKjq9GgL2VEiU4rdypE/Dxx4wezZ5NI+zK8csLaWn8nz/+4KLMfv1YzaFLl6K5otmOyHfFisAbb8jrXncdb8zSr3nKFC58laRuXc5wSd8kP/mElW0k6dED+O23XMqARUezdMX5dOpU4IOhfHnOohSwgEeBMIZlH6Uj0I8/Ln+/6t1bvmxeq1bAhx9yVlCKOnXYJ0Ky7nS5cqy4JP3+WkmAMbm1elByIjw8HHX+f/SFhYWhdu3aNu+RUtTYs4eGeObMs4t08ssll7CW9IMPykeIFEXJhV9+Ae6778LfT50qv5pUUfwYq/yapnAoik00bsyFdNu3M/fu7bfzb4IjIoDx41n7tnlzfh8Zac3+KoqSD5Yscf/7Ll1k90NRFEtQA60oXsAVVwCvv04zvW8fy7w1aZK/bezYwQVytWtz8eEff3ARmaIoNuDOQF92mXzHDEVRLEENtKJ4GVdeycj0rl1cvPP66/lb7OFwcPHhXXexXuyLL8q3U1cUv+bIEff1n7t1s2cBgA9gR7JpZqa8ph2LxFNSZPWMYb3too4aaB9h/Hg29ZAiLIwLsiQjnPv3y5/odtO0KVM7Dh3iqv9nn2VFjrwSG8sFVk2bcuHRN9/433uoeBeeLsl4MRYvBjZtktPbvh345ZF/3P+xWzdLNB99FPj8c0s27RZXDWFXV0QJvvySwQWHQ07z0UeBvn3l9ADWFR8+XE7P6eQ95Ysv5DRjYtipeM4cOU0rUAPtI4SF8QRwOmX04uO5MnvhQhm9kyeZH/zVVzJ60dG8eEZHy+hdjIAAXlgnTGDh/YULWYUjP+WW1q0DHnuMXemefpo3ekWJjXVfLMIKjGETH6n27cYAzzzDCjhS/PwzUGHd3+7/2L27x/VOnQJ++kk2Wrp8OQPskjV9161jJQfJqkObNnEWT4r0dJ6LklVsQkNZo1mypN3+/Xws6tlMaqB9hL59aaykIgLNmrGY//TpMnqVKwP33ssbYUaG9XrFirEpilQkYOFCYPXqvD23RAnW2f3xRxamnz49f+uSkpOByZOBFi1YO/enn9gJS/E/jGFL9549ZWaT5syhKbn5Zuu1ANYbP3BArvOkMcDsX9PRxSy98I8tW1rSf3vpUn52Uu8pQAN9zTVA1apymmvXypbvS0nhehTJmtv79vH+JllRyZXel981N4Vh/37eY6Xbl3saNdA+QocO7Hr3559ymg8/zFzbmBgZvWHDGGn/5RfrtapWBd5/H/juO2DlSmu1jOHA4Lbb8lcbGmBE5qGHeBM9ehQYOzZ/o/o1a4AHHuDCw9dfZ6MGxX5++QUYN856ne++A2bNAj791Po6tE4nc/u7dpUrRPHll6w7e+ONMnobNwK1QlcjOMNNnpRF3WUWLqQRadTIks27ZflyoHNnOb3YWODgQVkDvW0br82SBtpVzlSy5vaePUDZsrwHSLF/P6PsJUvKaVqBGmgfoUQJVl6YPVtO8777mFrw888yek2bArfcwqLzEgtKHnuMaRNPP21t1DsgAPj9d6BmTRbyL2gZurp1mZd+8CA7sz30UN5TPGJjmUNfrx5wzz001loh3h4+/5y1vXftsvYzCAlhTv1DDwF33mmdjouZM7koduxY67UAnkezZzP6LLVu77ffgHtKzXP/x169PK5nDLBgAa8bUhw7xjWSkgZ63To+ShrozZtp8CS7IW7fzmtwhQpymq6Oj5JrW/fvZz57UUcNtA/Rty/zp1z5RVZTtSrQpw+jWFIMH05jIZF7XawYUx327AE++8xarYoV+ZrOnOF7WpiFfgEBQMeOTO2IiGBu/LXX5u1/HQ6a+Rtu4ODh559lUmYUmqFRo5iz+8ILbAVv1U3N4WCL+CpVgIkTrdHITmYm26j37g1cf731egAXzAYGyrVQN4YGul/Q3Av/WLGiJS983z7msEqmb6xYwceOHeU0161j9otkbvDmzUylkOyGuGOHfEOs3btl0zcANdCKF9KjByOO0mkcW7fKLUi78Ua2Rv7gAxm9a68Fhgxh29Pjx63VuuwyRpMOHGAU2BOLgipUAJ56ii3EN27kwsi8TtVv3MiFivXrAx99BCQmFn5/ijIZGcD69dZs2+GgcR49GnjvPb7fxSy8On/4IWcZvv8+l1bUHuTnn3nTlIo+OxxsZX7fffSuEqxfDwSHHUCNxIMX/rF3b04TepgFC4DgYHYHl8Ku/OfrrpONkm7eLJu+AcgbaKeTQTfJKHtGBmcw1EArXkXp0kyzkzTQvXsD1arJRaEDAhiF/u+/s9N6VjN2LFCmDOspW02LFmyAsngxja8np/Bbtwa+/po562PHMn86L4SHM//8ssuAESMY1fYnQkOZu3vZZRzAnTzp2e2np3Og8uWXwLRpwCuvWGsUtmxhNHjECJnc4IwMDgz69pUzJH//zVQDqcWDAKPPD5T7y/0f+/SxRHPhQuaU56caT2FZvly2maLDAWzYIJu+ceqU/ALC6GimHTVvLqcZFsbXKmmgjxxhcMgXDDSMUiDCwsIMAAPAhIWF2b07WXz3nTGAMSdOyGm+8IIx1aoZk54uo+dwGHPllcbccYeMnjHG/Pgj39dFi2T0XJ/jmDHWaTidxrz7rjGlS1Mrr19BQcYMHmzM4cPW7ZvdZGYaM3euMbfcYkxAgDHlyhnz9NPGbN/uWZ3kZGN69uR7+scfnt22O06fNubqq4259lpjzpyxXs8YY6ZO5Xu4Y4eMnjHG9OljTMuWPMYlcDiMqVXLmMM12194whQvbkxcnMc1k5KMCQw05rPPPL7pHAkN5UuaNUtOc9s2aq5YIae5ahU1t2yR01y8mJr798tpzp9PzaNH5TT/+ouax4/LaVrl1zQC7WP06cM6mX/lEAixgocfZlRTqiZ0sWKMiP75p1y+94ABXDQzZIhMybcHH2QDlZEjrSsVGBAAvPoqIx+uhVZ5qbGang5Mncr24wMH5l5DOCZGvnFGYThxgtH5yy/notyICKYCnDjBxX2enF6Ni2NZ4LVrGTHt189z286JESO4ePDHH62vugGwq9qYMUD//nKVBUJDgfnzZRcPrl0LOI5HoH7k2gv/2KkT63B6mKVLGd339fzntWuZ/dK6tZzm5s08PyRzg3fs4EyCZG3kPXs4u1qnjpzm/v2s+nHJJXKaVqEG2seoXJnXa8k0jmbNmHoguZjwgQdYteKjj2T0AgJooEJC5DRfew14/HF+LVpknU6ZMlwsuX372SnLvKwCdzhoxJo0YY1ud+3Chwxhjm2FCnxez57Mwx45ksZ0/nzqxsbaV/XD6eT7268f0zTef58FEzZu5I308cd5wfckYWFMnzhyRG5KfNEiLob94AO5Kdtp0zj4GDVKRg9gs6Vy5Zj/LMVvvwGPVMihBJJFrewWLOAgVrIBxrJlvN5XqSKnuW4d0xpKl5bTdC0glBhkutixg5WmJBvF7NnDMo9Wrrc4H9cCQl/oaO/5VQ2K7fTtC7z0Ehd9SZXDefhhRoVjY2UWl5QsCTz/PHNTx4yRGc02bsw86LffZkT68sut1QsIYAWN48dZZmzlSg5UrOKaaxjt+eor5pmXK8cuXBerTW0M8Ouv/y/hdQ/N0lVX8W+vvsrjMTycryM8nBftRYsY3c3eObNkSerVrs0vd9/XrOm5G0x0NCtdTJ1KI9u0KTs9PvCAtefNvn0cSBQrBqxaRRNkNXFxPEd79OBiRQlOn2ZpxIED5fIdMzJ4/A4c6PlBT044naxcs6Lc74C7hbYWGGhjOOMnUX4wO8uXc2ZGkrVredxKsnkzeytIsmOH/KJFrcBRSDyWDOJneGsOtDHGHDvGHKOff5bTjI42pkQJYyZOlNNMSDCmfHljRoyQ00xONqZ2bWNuvVVWs3VrYy65RC5XLTLSmPvv53F07bXM0w0IyFuOdLFixgwcePEc6YwMY8LDjVm3zpiZM42ZMMGYYcOMue8+Yzp2NKZ+feYGn59OWquWMe3aGdOvnzFjx+bvdTmdxixbZkz//swfLVmS+7p6tUy+7IYNxlSpYkyTJnztEjidxtx1lzGVKslpGmPMuHG8Jkjmyv/+O48TyXzrFSuMqYEI43R3grRrZ4nmzp3c/D//WLJ5txw9Kp//HBtLzR9/lNNMSeE1bOpUOc30dF7rJO+fTqcxZcsa88EHcprGcL3U6NGymlb5NTXQBcSbDbQxxrRqZcw998hq9u3LhTuSDB9OE52QIKf5xx+8qP/1l5xmZKQxl1/OBWAnT8rpLl5sTMOGNJtPP23MQw/x+7wY6cBAY4YMMSYiouD6TqcxMTHGbN1qzLx5xnz5pTFvvGHMI48Y06MHzW9eiIsz5pNPuPgUMOaKK4z5+GPeoKVYvNiYMmWMuf56S9aU5YhrQepvv8lpJiVxoPDEE3KaxhjTrZsxN9wgqzlkiDGvV5zk/iQYP94SzQ8/5OLf1FRLNu8W13Ekec7Mm0dNyUHY6tXU3LxZTnPXLmouXy6n6Qq0zZ0rp3nyJDV/+UVO0xg10F6HtxvosWM5upS8wP75p3z05/hxjtwlR9FOpzE33WRM3brGnDolp7t/P01Jx47GpKXJ6aamGjNyJN/nBg2M+eEHY4YONSY4OG9GukwZ/n9Sktw+G8PPafVqYx58kPsaGMjI87JlctUZXPz2G/V795Y9ZkJCWEEkrwMNT/H224zuS14a9++Xj1ZmZhpTo4YxIZe4qb4BsGyFBXTuzEojkjzyiDHNmslqvv66MdWry56vEyfyWidVpcYYzhYDssGRhQupeeSInObatdTculVO0xitwqHkkzvuYDe7pUvlNHv3Zv6z5GLCSy9lvuOnn8pUxwCYm/zZZ6zZ+c47MpoAc2XnzGFN1IceOjd/2EqCg1nHd8cOrtYeOJDVNdatY8e8i9WgPXWKeeoNG7LWsScaxOSGMcwdb96cHRVXrmRedng48MsvrKYiuYDlyy9ZheKee1gdR2oxlMPBai6VK1vfSTM78fHAuHHAE08wb12KqVO5uE0yL3jlSqB01BHUi3BTfeP667kq1cMkJTF3XrL6BsD8Z8n23QCvMXY0ULnmGvkFhHXqAJUqyWnu2cNrUd26cpquqlmNGslpWokaaB+lcWMaFslqHEFBbAjx44+y7Z9ffplm9scf5TQbNmTDi3Hj5ErpAbwn//wzF+yNGCGnC3Dhx9KlHCD9+y+rvTRqBBw8CDz77MVvONHRbA7TvDnLtllFQAAwcyY/o7//Bg4d4ntVvbp1mu4whiXxnnoKGDqUXf8k2wJ/9BGN1nffyS0mBoCPP2apw1dfldNMTeWC0Ece4YBPit9+A4ZU+Mn9H++/3xLNf//lILR3b0s275bQUFYgkjTQDge7O0o2UAHs6UC4fbt8C2+7KnDUqcPKTz6Bx2LZfoa3p3AYY8zLL3P6KzNTTnPrVvm8KmOYf33llWxoIMXp00xp6NZNPiVg4kS+zxMmyOq6iI01ZtCgs+ukoqI4XT94MBf65SW14+abrWsakJFhzXbzisPBNBeA6VTSx8eWLUwZGTZMVjcmhqljw4fL6n7/Pd/rAwfkNDMyjKlW1WliKjZw3zwlOtoS3UGDuBZCku++4yJiyfzn7dvl84JPneICwilT5DSN4cLoV1+V1bzuOvnUrn79jOneXVbTGE3hUArAHXcw6ifV8hpgmbXmza1r/pETw4dzdDtnjpxmqVKcGl+yhJEoSYYOZeT9+eeBWbNktQFOlU+bxinsK6/kz7Vrs7bzvn2sC30xFixg6bhhwzzfbKWEjQU609OZ5jJpEutrv/GG7BR0aipL8TVuzAi4JB9+yMdhw2R1v/ySTWkkp4ZXrACuiF2NqgmHL/zjTTcB1ap5XNNVvk4y+gwwfUO6/vPatSxZKdlAZft2psZJRqDj4ljiUzICbQwj0JItvAEfK2EHTeHwadq1A2rUAGbnUN/fKh5+mEY2Lk5Os317Nqb44APZhhy9e7MBxwsvMDdRkg8+YF7t/fcDa9bIarvo0IEpAtlrMzdsCMyYAWzaBHTrlvv/Z2Qw1eDKK/k/djVT8SQjRrAu8K+/shueNK++Chw+zJSmkiXldCMiOGh44QWZWvAuduzg8f/UU3KaAAfNz5X9xv0fH37YEs2dO2m2/CH/ee1aBmMkp/s3b2aaVdOmcpo7d/KxeXM5zRMneL+SrAHtcDCdTg20UiQoXhy47TbmQUsakwEDqPfLL3KaAKPQ69Yx71OSTz9l0xrJbmsAc9e++44DpWeekVtUmFdatQIWL2ak+WKRjogIHjddu168cYu3M3w4G8Xcfbe89uLFbAbz3nuyJgCgZsmSbDYkyZdfspGSZIOPzEzgn9+TcPuZXy/8Y6VKlu3MggU0lJJNPuzIfwbOLiCUxLWAUHLguX079SRnT1xdYyUj0KGhXOivBlopMtxxB6NR7tosW0X16oyQSKdx3HwzR9QffCCrW6cO8NZbwMSJXFAnScmSnGGYO1d2MUheCQhglH77dqYzXCwy6ZoqHjmSqQhFkUsukTcbLpYsYdT/uedkdcPCmL4zbBhQsaKcbnIy8MMPwKBBsgs0ly4FesXPQFDG6Qv/+MADljmwhQuZqiJp8Fas4HncsaOc5smTnO73hwWEO3bwviWZdrZnDxfb1qsnp+labK8GWikydO3KlrZ2pHFs2gQcOCCnWawYb+AREWwjLIkrF7lhQ1ldgAGvWrXkdfNDiRJMZzh4kO9VbjeLjAzm7jZrBixbJraLPsH77wPz5skPppKTmfb77LOyukuXcqA1aJCs7m+/GjwX9KX7P1q0MwkJwOrV9uU/V64sp+latyNpoFNTaSztMNDSFTh272YFjuypd1azfz/XDdWpI6dpNWqgfZySJVneSXo6+ZZbgC1bWLtYkoEDadylau26CApiuozkYrGiSMWKwCef8KbRvXvuzz10iAPAQYNYW1jJG5Jl3Fw0bswa12XLyurefjunhi0ot5wrY25eh8bp2y78Q9u2lrmhgABg/HigTx9LNp8jdsxoVKoEPPYYUL++nGZSEhc/33CDnCYAtGwJ9Oghq1m3rvxxVLEiZ8S9caa0oAQY4wvLduQJDw9Hnf8PpcLCwlBbsmOAovgAxrBe84svsslJblxyCXNdb7tNZt8UJVfuv58F2c/n228tW0CoKErBsMqv+dBYQFGUokRAAGdG9u6lic5tOjEigtHG+++Xre6iKBdw4oT7upWVKrHlpKIofoEaaEVRbKVsWU5Nb9rEGfDc+PlnVpeYN09m3xTlAiZPdt+P/tFHL97XXlEUn0ENtKIoXkGLFqznO2FC7rVfIyNZJeyRR+Rrbyt+zqlTwBdfXPj7YsVYS1JRFL9BDbSPYAzw2mtcyCPF8eNsGnHypJzmxo1sUiGFMey2l5Ymp+l0sl6mP1K8OCs57N7Nqg65MX0612utXCmya4rCHGd3F7zbb5etCeaGkydlrxupqazuJHlt/P134J9/5PQyM9n1VbIM7Pr1rFjk6e6suTFtGu/lkrz8MnsoFGXUQPsIAQHAv/9yUZYUDgdb90qWGvv1VxosqaYhhw6x/qlUyoDDAbRpA3z8sYyeMXxPQ0Jk9PJK3bpsGvHtt0CFCjk/LzQU6NQJeOUVttBWlNwo1HUjI4O5Ru546aULfjV1KrtsSvH662yqJFUWYMECdmE9dkxGD2C9fXfp51axdSu7ayYmymkuWsRrsmQHxr/+OtsRUYrff+falqKMGmgfokMH2S58l13GMnX//iunefvtnMLfsEFGr1Ej5uV+/72MXvHirEM6caJMNCk1lfd+qe5xsbFsBpEXAgJY0GDPHpZFzAlj2Dzn+utl644rRYvNm9kuOTS0gBv45Rfg6NELf9++/QW1z5KSOCMo1VgpMZENZfr2lSul+csvLMEmVao0JIQLjnO7FniaZctYErVNGznNtWvZgVGq3JsxXH8iWf86Pp4DL8n25VagBtqH6NCB1/eLlQTzJN27s32wFNdfz252kqkqDz5I0xcdLaP34oscJLirkuVpSpdmlOzPPxn5sJpPPuFNPj8DvUsvZafFr78GypXL+XmbNwPXXsvnaXHOooPE7EdyMmv8lizJkoj5xuEA3nnH/d+GD7/gV+PHM1165MgCaBWAH35gKsXjj8voJScD8+fzPZViwQJ2m7xY/XhPsmwZ76tSXS6dThro66+X0QNYVCYqCmjdWk5zxw4+SjeQ8TRqoH0IVxBk9Wo5zR492CpcKgWgeHEWgJc00P37M6rzyy8yelddxUVy48fLGMH+/Zmm8txz1qdBvPUWA3Z33AEcOZL3/wsIYJGDXbtyb5N9+jQbr9x3HyMc/ppLXhRwOIAXXmAb47Awa7WGDuWgdMYMNj3KN7/+erYXcXYaN76gOHl0NFOwhg6V6RBqDNc13nGHXEfSuXM5e3XPPTJ6AA37jTcC5cvL6GVkcH1Fly4yegAPsYQE2Q6MmzbxUTICvWMHz8Oi3tZbDbQPUaMGUw4k0zg6d+ZU05Ilcpq3386pPKnp0apVOW0olcYBMK1i926ZBTMBAUwZOXCA+X5WEhQE/PEHu1L16ZP/3MLLLuOxNm5c7kbo11/pbZo0YR6j4l2cOgXceSePu3HjrG3v+9NPwHff0WQ2alSADWRmAqNHu//bq69eMNf+7rsc6L/ySgG0CsDy5bweDhkiowcwmNC+PdcqSHD6NKPBkukbmzbxOJU00GvX8nC6WDlPT7J5M72D1OALALZv57VZKrJvFWqgfQzpPOiKFZkfJpkH3aMH2xVLp3Fs3iy3GrtjR06pSS1Cat4ceOopYNQoRuqspEoVRrAiIhj9dldSNzeKFeMK7o0baZJz4tQpRrlbt+brysgo1G4rHiIykgPvf//lOWyl8Tt8mMf1Aw8AAwcWcCPff+8+uf6KKy7IYQgNZZnoYcOAypULqJdPPv+c50GnTjJ68fHA33/Lpm8sW8YUlZtvltUsV042MrtmDevcS0XZgbP5z1K58wANdFFP3wDUQPscHTpwekRy1XD37owKSlXGKFOGJlrSQN98M2+IP/wgoxcQQJO4ZAmwbZuM5pgxjOq++qr1WlddxVXY//7LafyC0KwZL/5PP53zc4zhcTl6NI30rl0F0/InoqM5E2FFje3du7lA6vhx4L//OAthFenpTOWpXp0ms0CkpXH05Y433wRKlDjnV6NGMajw3HMF1Msnx49z/cLTT8sZoNmzOei9+24ZPYDpG/Xry075L1vGlJHzPmJLkc5/di0glMx/djh4HS7qCwgBNdA+R4cONAzr1slpdu/O6grbt8tp3n47R+sxMTJ6JUsy4vLjj7wASHDnnZwizalylqepXJnrpKZPlzl+unenUZs0qeAGp1Qp/u+ff1484rd3LxcZvv9+/qPevk5SEgOtN93ERZsvvMB6tJ5kyRKu0yhfnttu2dKz2z+fkSOZvjNjRiEiep995j5Bu3FjuvNs7NnD9/DNN9ldU4KpU3kOFDi6XgB+/ZUzCAVajFkAjKGBvuUWuUHCmTNcSySZvhEfz2NIMv85PJz3UMko+8GDHJf6goGGUQpEWFiYAWAAmLCwMLt3Jwun05hq1Yx54w05zbQ0Y0qXNubDD+U0IyONCQgw5ptv5DTXrTMGMGbxYjnNTz4xpkQJY6QOscxMY6691pjWrY1xOGQ0n3vOmOLFjfnnn8Jt59gxY268kZ9RTl/Fi/O4advWmL17PbL7xhhj1qwx5ttveYwkJnpuu1aSmmrMrFnG3HWXMcHBfH86djTmyy+NiYnxrNY33/A47tVL5v1ZtIivp1DXpJgYYypUcH8gzZx5wdPvuMOYevWMOXOmEJr5ID3dmJo1jXnqKRk9Y4yJiuI5NGWKnOauXXzLFy6U0/zvP2pu2iSnuXAhNQ8elNOcNYuax4/Laf7yCzU9fY3JDav8mhroAuKtBtoYXsg7d5bVvOkmY3r2lNW8/npjbr9dTs/pNKZRI2MefFBOMymJ9/Bhw+Q0V63iBe6rr2T0MjONuflmY8qXN2b37sJtKyODg8eAgNyNdLlyxpQsacz48dQvLK+/fu72a9UypkcPY559loZ0xQrZG0ZOZGYa8++/xjz66Flv2KIFjWZoqOf1nM6z783gwTR9VhMVRWPZo0chB4HPPOP+4Gnbli8sG+vX80/ff1+4fc8Pv/5KzZ075TS/+IIGWvJY/uADBmhSU+U0R482pmJFz1wb8sqbbxpTteoFh5alvP46zxVJXn3VmEsvldVUA+1leLOBHj/emFKl5CIhxhjz0UfUlLzIffABNU+dktMcO9aYMmWMSU6W0xw+nOZSMrJ5//2cyYiPl9FLTDSmaVNj6tf3zM150SJjqlfP3URXqcLHDh08E/VJSTFm82ZjfvjBmNdeM6ZvX2OuvJKGw6VZtSqj5E88Ycynn3I/w8KsvWk6nTR4zz/PmyVgTIMGvGHv2WOdblqaMffdR70PPpAxBg6HMb1789iNiCjEhnbsOPeDy/61YsUFT+/a1ZgmTWQNV8eO/JKkY0cGS6Q1b71VVrNzZ2Nuu01Ws3t3ec1evYzp00dW85ZbeI5Kogbay/BmA+2KhqxbJ6e5bRs1ly6V09y3j5p//SWnGRIiH2kKD+f09/jxcprHj3Og8NxzcpohITQ+N95I81VYTpzgzTc3E126tDE1avDxs8+sSVs5c4bT0L//zsjWvfca06wZI+DZI+Jt2xrz8MM0m3PmGHPoUOEM2d69NMkNGlCjRg1+nuvXW29mY2P5OZYsacxvv1mrlZ1PPuFrXbCgEBtxOo3p1Mn9AdOv3wVPX7xY/jq0cyc1f/1VTjMsjDM706fLacbHcxwzebKcZmoqj9tPPpHTzMw0pmxZY957T07T6eSA/q235DSNMaZ2bWNeeUVWUw20l+HNBjo9nZHZjz6S03Q4GPF79VU5TWOMueoqTkdL0qkTowWSPPigMZddJjMF7uL993nzkpwiXr3amKAgYx56yDMmLyPDmBEjcjfRgDEtW/Kxa1caeQkyMxn5njOHpvmhh2iiy5Y9u1/BwcY0b27Myy/nbZthYcaMG8c8doBpGo8+SpMnFR09eJCpTlWr8vOUYvNmYwIDjXnxxUJu6Pvv3R8kQUEc1WTD6eR6gfbtZafen3qKswmSs4wff8y3ICFBTtOVpmJFelFOLF1KzW3b5DS3b89xcsMyjh6l5ty5cppxcdT8+Wc5TWPUQHsd3mygjTGmSxdOIUty333GtGkjqzliBKOWklOnX3/NSIzkx+6K8EteeNLSaIS6dpU1Bz/+yNf6/vue2+acOcxpvJiJrlWLBnbKFNnXnB2nk8fWP/8wzeOJJ5gSkhOxsdzfTp14XJYsyYWBs2bJplQZQ8NcpYoxV1xxgde0lORkarZsWcjZi9hYXlDcHSBuogMzZ/JPy5cXQjOfJCbyGB05Uk7TGGPatZO/pzz4IFO7JBk5ksew1CJqYxhhL1FCNh3xjz947J44Iae5bBk1C7vWJb+ogfYyvN1A27EgwWUsT56U01yzhifkypVymomJjAx60uDlhR49aBAkP9P58/n+/v67nKYxXAgI0AR6isOHuWAuNxN92WU0CQDzA73w1M4iOZn5i4GBxhQrxv2dPt2+KiC//ELzfuONjDRJ8sgjTDnav7+QG3roIfcHRu3aFyx8yMhgjnuvXoXUzCeTJnFmKDxcTvPIEb4Nv/wip+lwcCwzYoScpjE8ft1k6ljKgw9yJkMSOxbzffoprxEZGbK6Vvk1rQPto3TowNrM7hpoWUX37rzbLFsmp9muHduQSjZVKV8euOMO1nw1Rk735ZeBLVuAFSvkNG++mc0uXnqJ7XSlGD2ajRoeeICv2RPUr8/a4Y88kvNzjh1jl7WXXgJ27mRXsO++k/2c80qZMkCFCsDHHwMnTnC/H3pItosZwPfm/fdZJ/2uu4DFi+W68AGs8/ztt6wnfsUVhdjQwoX8sN0xceIFxZ2//x7Yv5+tu6Uwhi3J+/aVbb38669A6dLWNr45n02bWKNYsn336dOsgS9Z/xngdUmy/jNwtgOhJK4W3pLNaSzFY1bcz/D2CHRiIqNSUqXIXFxxhWxdUmOMGTSIqQaSkVlXzU7JOqFOpzHXXMNVzJIcPMjcR+kp41OnmBJ06aWerVPqdDLlISgo92j04MHGPPAAv7/1VtmpzqJCejrPP4CzXtJpL4cPs0LNffcVUjs+nvk77g6EW2+9YOOpqQxK33NPoXY/37imwJcskdVt3tyY/v1lNUeOZNqVZLTStSB01y45zehoas6YIafpdBpTuTIXNUvSqhVni6TRCLSSL8qXZ6efVatkdbt3ZwRKkttvZ3ejffvkNLt3B2rWZBRKioAARkbnz2dXPSkaNqTuBx8AISFyuqVLc2ahWDHgtts8FwEPCAAGDwZWrgRq1875eVOnMiI9fTqwYQPQqZNcF8qiQGIiI5LTpzMCPGaMXKc4AMjIAAYMAKpUASZPLqT2M8+wL/b5lCvHkO95G588GYiIAMaOLYRmAfj8c+Cqq2QjpPv2MXJ4771ymgCvc716yUYrly1j6/fGjeU0167lo2QE+uhR4ORJ2Qh0ZqbvtPB2oQbah+nQwR4DfegQT1ApunU7a7akKFGCN+8ZM3gjl+K++9hq+eOP5TQB4LXXgKpVaaQlueQSYO5c3sQffJBt6j1F27bA5s00xjnx33/AG28AP/wAfPMNULy45/SLMsYwjWn9euCff4CHH5bfh7fe4uc3YwZTWQrMzz8DP/3k/m8ffXTBKCspiS3vH320kCkj+eTECWD2bODpp2UHKr/+yoDMTTfJaUZG8rOVTN8AaKA7d5Z9f9eu5TX9ssvkNDdv5qOkgT5wgC3SmzWT07QaNdA+TIcONLORkXKaXbowYrhkiZxmqVKMVEgaaICGLiaGBkKKoCDg2WcZ+Zb8XMuWBcaN4w1ceoahRQv6m1mzgJEjPbvt6tX5ep5/PufnhIcDt97KWQ6FBAQw93fNGqBrV3n9JUuYdz12LNdBFJgjR4CnnnL/tx49gMcfv+DXH38MnDrl+WPxYkydCgQH87ojhTHAL79wsBQcLKe7cCGPMUnTnpICbNwon/+8di2jz5KmfdMm5tDXrCmnuWMHHzUCrRQJbriBj6tXy2lWrAi0aQP8+6+cJsA0jvXrZU1l8+YcTUumcQBMPwgM5HSuJPfeC9x4I/Dcc7JRd4Cf7yefAK1be37bgYHc9k8/cTDmjjNnGHEcMgRIT/f8PhRFrrtOdqo7O++9R+M+fHghNnLmDNC/P0PK51OxIqccznM1MTHA+PHM+Mgt/cfTZGTQQA8cWMhoez7ZsYOzP/37y2kCTN9o2xaoVk1Oc9Uqphl07iynmZHB9LDrr5fTBBiBtuJamhvbt/OckVxgbDVqoH2YWrWAyy+3J41jyRLPTrdfjFtu4b1u7lw5TYDRoDlzgPh4Oc1KlYBBg3hDlTSyAQHAZ59x2u/UKTldF889x+oDVjFgACOq9erl/JwvvqBxkxyoKRcyZw5TN4oV5g724osMxbnjyy/dOuQtW+itX3mlELoF4M8/mXP99NOyur/8QsPTvbucZkYGsGiRPekbNWsCV14pp7ljB5CaKpv/bAwNtB0VOHwpfQNQA+3zdO/OE1SSXr14EYqLk9OsWhV48kne3CQZMIA5stK88goj7oGBsrrNmzMfWPp9lqJFC3qq3AzD6tVAy5Y024o9lC5dyOjk999zNOSORx7JMeTaqxezPqpUKYR2AejVC/jtN+Caa2R1W7ViqorkdSY2FujYUbZkHkBj2bevbCrF8ePMf27ZUk4zOppreKQj0BERvpW+AQABxnhjhVPvJzw8HHXq1AEAhIWFobbkfJ6iKJaSmcmFk+PG5fycwEBgwgQO3CRvukoh2biRuUhnzlz4t6uv5t/LlJHfL8UvMUb++uGq0VioGZwCkJEhH/QBrPNrGoFWFEU5jxIlgA8/5BR26dLun5ORwSn1Rx+Vn+VRCkh4OBPq3Znn0qWB339X86yIYsfgOyBA3jwD9phnK1EDrSiKkgP9+3OVfP36OT9n+nQuApKska0UgORk5gVERLj/+7RpbJOmKIqSB9RAK4qi5EKzZpzVz62k1rZtzBddsEBst5T8kJHBPuPbt7v/+4svckGDoihKHlED7UNs2sTV6ZL891/O9yQrSE8HVqyQrQKRkcF62pKkp2vXO2+icmVg3rzcF4zGx7NywBtv6GfnVTid7PSyaJH7v/fqxTabSpEgMVFW7/BhICFBVvPvv2U1T5xgnX3JVLT16+V7N3gaNdA+xPffAy+/LKv5zDMsbSbFsWOs07l8uZzm8OGsyiC13DYigiuz//5bRs8YLpj76isZPYBl4KKj5fQ8QfHibNzx55/szJYT77wD9OwJREWJ7ZqSE8YAQ4ey26A7Gjdmortkv2gL2bMn58p8VvDtt0xzkhow7t7N6ivr1snoASyfeeedcnqRkUDv3nLXf4Bad98tWxZ16lRg1Cg5PStQA+1DtGnDbmmSI9cOHWQbtTRowJanko1aevcGQkOBnTtl9GrWZAvrH3+U0QsIYOv1d9+VuRE6HDxuhg2zXgugh9q/33Pbu/12pnTkli67dClL4kkO9JTzMIYHWU7l6mrWZMcOC2sypqcDY8awy50Ezz8PPPSQTA1+Y4BPPwXS0uRa3P/yC9d4XnutjF5qKs/l3r1l9ADWowZkOyKuWQM0bZp7YMDT2NHMxdOogfYh2rblo2QEokMHdqqKjZXRCwhgNFjSQHfqBJQrJzfdFBDAjmN//um+SZoVvPgiF8FJvMbixRnV//57TuNZzdSpvOFu2eK5bV5xBff9vvtyfk5kJNCtG6PWmtIhjMs8jx/v/u9ly9I859Y1xwO89hrw9tueHcDlxL//si39O+/IVFhYtYqNQJ55xnotgB/pjBlAv35AyZIymsuW0URLNnVZtowTIzVqyGmuWSPbDTE1Fdi1Sw204kU0asQR5IYNcpquduGSTSW6d+fJJ9UNrmRJRiAk88sHDGClrT/+kNFr3ZrNC3LyG57mscdYVP+556yPlj34IKPFt9/u2WOmTBm2//7ss5zLMzmdbETRowebJigCOJ1M28jhYDZBQXij2RzE1LG2e8X8+dyF99+3vuub08nmSu3b8ziXYNIkDiS7dZPR27SJ+ci5DVo9zbx57OZ71VVymkuXykafT54E9u6VNdDbtzOooAZa8RqKFeMBuXGjnOZll7HjrWS78K5d+bh0qZzmbbfxAi5lgmrX5kX0hx9k9ABGodeskckvLF4cmDiRUdyffrJWq1QpRvMzMxm9clcCuKAEBDACt3Il8P86/W5ZtowDhnnzPKetuCEjgwsGP//c7Z+dxUvgwVIz8XNEF8THW7cb4eFMpejTB3jhBet0XPz+O6fE339fpq6wa9HZkCFy9YR/+YVRWSlzaQwHQX36yNVqDgvjIMF1j5PAdb2XNNCbNjHo0LSpnKYVqIH2Mdq0kTXQAQFM45A00DVqsKWtdB508eLA3LlymgMHMoc2LExGr08foGFD4JNPZPQ6dgTuuQcYMcL6HNFatWiit2xh50BPLwht1w7YupXnQk7ExQG33srmK6dPe1ZfAQ+i227LcdTpLFYcAwJmILTZrdiwgdFTK8jM5AxSqVKsEW61+crIYOWXW27hOSXB1KmcmXvoIRk9pxP49VcudJPKt969m4vWpdM3AgKYNijF2rVA9eq517r3NJs2sTyoVCqOVaiB9jHatmWU9MQJOc0bbuAJIVkCx5UHLVUZo3Jl3pwk0zjuvBMIDrY+QuuieHFGy2bO5KJCCT78kOXf3n3Xeq127VhpZPp0awYJVaqwxOI77+RumiZPBlq2lF2rUFQo8Pl8/DhP0BxKFziKlUB/5wyUHngXFi8GqlYt+D5ejNGjOZMzYwaPCav56itGLd97z3otgAsjp0xhalSFCjKaK1fyI5ZO3yhdWtbMLl3KmSqJ48bFmjVM/ZHsiLhpU9FP3wDUQPscbdrwUTIK3aEDoyCShqB7d0ZmJesz33YbsGSJ3Ir6cuWAvn0ZUJMaKDz0EG+KEyfK6NWtywWF48cDR45Yr/fAA9QbNgxYuNDz2y9WjAvHVq9mVCcn9u8HrrsOeOstGhJ/xRjmQ44cyTz1AqW4bNjAC9/WrW7/nFEsCHc6Z6LduLvx9dfWRr2WLOEAavTo3GcjPEVKCrUGDuSsnASzZnEtwZAhMnoA0zfq1qXRk2L+fN5ngoNl9IxhBFoy/zkzk2l0kukbp04x51oNtOJ11K7NFAdJA33NNTR7kmkcHTuydKtkGsdtt9Hs/POPnObAgaztmoM38DhlyjDF4auv5BoWDB9OsylVw/zdd5mSc++9rCBjBe3b0yTfdlvOz3E4WOLsuusK1oxoyxZOpW/YULRSQozhPo8YwYXPLVpwwNayJcs35ouvvwZuvDHH9tynipVFv6D5eGzO7Xj5ZWujbFFRwP33c1HdK69Yp5OdTz/lDM6YMTJ6ABcPdu4s1/U8I4M53v37y0VJT55kZLZPHxk9gFWQjh2TNdA7d9LQShrobduYkqMGWvE6AgKYxiFpoIsXp2GQrAddtiyNh6SBrl+fix4k0zh69OCASHIx4TPPsLbr11/L6JUpw1SO2bMZwbOa4sXZV6NWLRpcqxaTVazIvOupU4GgoJyft3UrbyZvvMH3Pa+sXMl86nbtOIBt0oQG7qOPeF5IlZbMCw4Hu5Y+9xwXHrdrB3zzDc3CwoVsqvPDD/m4qZ46BTzyCDBoUI4h/Jhi1XFP9eV4Z3133Hqr516LO5xODnYBvg6JPN2YGJ43Q4YwOivBtm28zkuVrgN4LMfFyaZv/PMPP9Obb5bTXLqUM1hSeewABwmBgdZXicnOpk2cBZIagFmKUQpEWFiYAWAAmLCwMLt35xzGjDGmUiVjnE5ZzYoVjXE45DRHjaJmZqac5muvGVOlijEZGXKazz9vTI0aspoPPmjMZZfJaTqdxtxwgzFNm8ppHjzI86RHD+s1DxwwplkzYxh/zfnryiuNWbYs79s9fdqYjRuNmTbNmKefNub6640pU+bs9mrXNqZPH2PefNOYP/4w5vBhuetCeroxixYZ88QTPH4BYy65xJghQ4xZurQQ7/m2bcZcfXWub+SegKtNv2uPmMhIj76kHHn3XWMCAoxZvFhGzxheF8qXNyYmRk5z0CAeU9LXoquukr2fDRhgTIsWcnouzTZt5DXbtZPVfOABY9q2ldW0yq+pgS4g3mygFy7kfeTgQTnNpUupuXOnnOaqVdTcuFFOc/16aq5YIae5eTM1FyyQ09y6lZq//CKnuWkTTcikSXKaS5YYU7y4Mc89Z71WeroxI0caU6zYxY30wIHGREUVTMfhMGb/fmN+/dWYV14x5qabzhpYgKarY0e+5m+/5Wd95oxnXmNamjFz5xrz8MPGVK5Mvbp1jXnxRWNWry7kADsjw5j33zcmMDDXN28hepnH7443qameeU0XY+VKHkOvvy6jZ4wxISHGBAUZ8/bbcppxccaUKiWrefq0MeXKMVgiRWYmj13Jz9PpNKZmTWNGjJDTNMaYyy835oUXZDWvuoqDfUnUQHsZ3mygY2J4L/n5ZznNlBTeRL78Uk4zPd2YsmWNee89OU2Hgxe6l16S03Q6jWnc2Jj77pPTNMaYrl0ZEZGM/Dz2GKPCsbFympMm8Xz56isZvU2bjKlf/+Imunx5Y8aP95y5jYjg4Prdd4255x5jrriCAxaAnrRFCxrfCRM4QExIyNt2U1KMmTmTx2e5cmcj6a+9xsGfR46fnTsZtrrIm/YBhpl3x2SIHbOxsYzIduggG5UdOJDXoZQUOc2PPuJxIhXVN4bHFcABoRSuwMzatXKae/dS8++/5TRPnKDmb7/JaSYl8ZrzzTdymsaogfY6vNlAG8Mb9PPPy2q2acPpGUluucWYbt1kNR9/3JiGDWWN5XvvMfqTlCSnOW8eL7CrVslpRkbShD3zjJym08k0g8BARhMlSE01ZtiwvEWjr7jCmL/+suZ4S0piZHjSJE7Pt25tTMmS1L3xxpz/LzHRmJ9+MqZfPx6XAFNURo82ZtcuD+5rSgrDciVK5PomJRcvb+4N+sP88YeHdPOA02nMrbcypUvyFrB9O03I5Mlymg4H7yn33y+naYwxd91lTMuWspqvvGJM1aqyqYFffMFDPDlZTvOPP3j6SB67K1ZQc8cOOU1j1EB7Hd5uoPv3Z06pJM8/b0y9erKan3zCG/7p03KaLmO5Z4+c5rFjvGl++62cpsPB6bY77pDTNMaYceM4myGZDnTmjDGdOhlTrZoxR4/K6W7bxsHYxUw0wPNZYjCTns73fsOGC/8WHc1Ba1AQ96lNG2ZVeDxdzOGgQ69d+6JvzNbA1ub6GofM5s0e3oeL8Mkn3IW5c2V1b77ZmEaN+DlJMX++fFQ2MdGY4GBjPvxQTtMYY665hhF+Se66S/5+/dJLXOciyfjxHHBLztYYY51f84kqHLGxsXjzzTfRtGlTlC1bFpUrV0b79u0xceJEpPtpkdU2bVjmKjNTTrNDBzbgkGp3DbBO55kzshVAunZlgX3Jahx16rB0lGQ1jmLF2Fjlzz/ZqEGKZ59lxZPnn4dY/eugIDaQKVMGuP12uVrfzZuzJurbb7MsY26sXs1zrHdva9utu1rsumrKZ6dyZVaY+PBDIDT0bDm6hg09uANLl7LEzv33syd2DphixTCuxKt4utlqzNzaAC1benAfLsKmTSy/+OKLsqXOVqwAFixgrenAQDndSZNYqaFdOznNv/5iVZr+/eU0jx1jaTfJ7oNOJzvOSpavA1iBQ7J8HcDzpkWLi1/rigwes+I2sX79enPJJZcYAKZHjx5m0qRJZty4caZp06YGgLn22mvN8ePHPa7r7RHo//5jxGD7djnNiAhq/vqrnKbTyQVSr7wip2mMMX37GtO+vazmN98wCi15uJ0+zSnqoUPlNI05G+WfPVtWd8cO5tXfeadsRRlj+Lm2aZO3aDTA6iGLF8umElmG08mVyJ075+nFx1ZpZNpjtenfX3b2yRjmhtevz8/KU/npecHpZMWE1q1lP/ODB/m2S85+GcNIu3RUdvJkzn7Fx8tpbt/O93fpUjnNtDTOIk2cKKdpDGdOpO8lxmgKh1tCQ0NNtWrVDADz/HkJv2lpaaZLly4GgGnVqpVJS0vzqLa3G+iUFOZXTpsmq9uggfwJMmAAbyqSfPstzazkghrXlOb778tpGsMSaGXKGHPypJym08nqEfXrG7FqCi7+/JOf7Vtvyeq6+OknY0qXzruRbtHCmOnT5Y2kR8jIMOb33+kM8/BinSVKmL8av2KCcdqMGiU/eHA6uQCzfHmWBJRk1iy+DUuWyOq+8AKrUkgeX7GxzAmWrMhjDNOTOnWS1fz0U6YhSl7n1qzhsSRZwSo+nprffSen6UINtBvuueceA8Bcdtllbg3yoUOHTPHixQ0A89FHH3lU29sNtDGsqTt4sKzmQw/JL/pwRWbj4uQ0o6M5QPn6azlNY4y5915jmjSRNQ6RkYxWSBv3PXt4E5WssuLinXfkV6hnJy2NC9TKls27ka5cmeXidu2yZ5/zRXi4MWPHGlOnTp5foPPGjmbgtTtNcLBsecXsfPmlPcdFRgYrm/TsKaubksJa+8OHy+p++SWvrwUt5VgQTp9mfq50zvXtt3PiRZKPPuJrlcyjX7KE587u3XKaLtRAn8eBAwdMQECAAWDeeOONHJ/XvXt3A8BUq1bNZHgwc70oGOhHHjHm2mtlNadN44VPslpEaChPzJkz5TSNYemq226T1XQt5tm6VVb30UeNufRS2SlrY7gwtUwZYyzIwsoVp5ODlVKljNmyRVY7O6dOcQBRoULejTTA8378eNkFkRclIcGY7783plevvJUfcX3VrUvH7HSar79mLXY72L6dM0BPPSWvPW0a3wrpY3HqVAYnQkJkdTt3ZoqSJK5rq6TBy8zkuT1mjJymMayeIx1p//BDXsslq5u40EWE5zFz5kyY/68w6t69e47P69GjBwAgJiYGy5cvl9g1r6FtW2DHDiA1VU7zhhu4KMLKRU7nc9llQKNGMm2gs3PbbcDixcDp03KaPXsC1avLLiYEuJjwxAng999ldUeOBEqVAl59VVY3IICtzBs3Bv74Q1Y7O6VLA6+8wsW5o0YBFSrk7f+2bgVeegmoVw9o2ZL/u3o1kJFh3b5egDHAwYNcgda7N1CtGvDgg2f7JF+MqlWBjz8G9u3jSrKAADz6KK9r0hgDPPwwcMUV3CVJTp8G3nqLrayvvVZO1xh+dLfeyuNIiuPHuVhSsnU3AMybB1x+OXD11XKa27YBiYmyCwiNsW8BYcuWMm3upSiyBnrp0qVZ37do0SLH512b7YqT/X/8gTZtAIeDJ6kUV10FVKkiWxUDYDWOf/+V1bztNg5OJI17iRK8sfz8s2yFlaZNad4//liuMgYAVKrEChVLl/JGI0np0lwdP3asrK47KlakiTp6lBUYatTI+/9u3QqMHs0KHlWqAL160VAvXEiz4rHPMyUFWLsW+OwzVtCoW5eOc+hQ4O+/8+7eq1YF3n0XOHKEI7fgYA/tYMEJCACmT+cAUnp3fv8diI6WPw5XrWIAZsgQWd3ffmOFkTvukNM0Bpg/n9U3AgLkdJcu5XVGclB49CgQGWmPgW7VSlbTaopsMZFdu3YBAMqVK4cKuYRl6tSpk/X97t27Ld8vb+Kaa1iea+NGoH17Gc2AAEahV62S0XPRvTswZQovDDVrymheeSWjFbt2MUojxcCBwPr1fK21a8vpvvkmsHs3g4eSUYRBg+jHypaV03Rhh2ZuVKwIvPYao8s//ghMnEiTk1eSk4FFi/jlolIlHsv16tHz1qhBo107/QjKnolDYDEHAos7EVQsEyUdp1G3cjJw8iQQFcUycyEhjDSHhhbuxTVoQMP8yCN0FV5Gs2b26D74II1HgwayumXLAk88wWurJCdPAv368ViXIjwciIuTLV8HnC1NGRQkp7l2LR+vu05O8+RJjodbt5bTlCDAGMl4kmc4c+YMgv8fBmjYsCEOHjyY43Pj4+NRuXJlAECzZs2wfft2j+xDeHh4ljkPCwtDbUknkw82buTNsXx5Oc2jR3lTzut0sydITWXN0EqV5DQB1qAuWVJWU1FcGMMb4uTJrGOdlua5bf+EARiAGZ7boDuKFWN6x1NP8bFYkZ0UVTyIMbKRYIDX8mLFZOtrp6cDsbHApZfKaWZkAHv2sAa9FJmZrK9dty5ryUtjlV8rkhHo5OTkrO+DLzKfVqpUKbf/dzHCcyngDwARERF53paduGuGYDWS+XIuSpXilzRqnhU7CQjgVOz11zNf9Y8/mB+/YkXhUzMcsHCaoWlTTis88IDsNIpSJJA2z4A91/KgIFnzDHCAIGmeAaYeSubvS1EkDXRqtlVxQReZ+8j+99P5WO2VPfVDURTF26lQAXj0UX5FRbFT5uzZzOMuyEJip6eXyLRpw1ynO+/k6kxFUZQiTJE00Nmjyhdr1Z3976W9MK9OURTF09SoATz+OL/S0rjq/t9/+bhxY94qxxQqAh0QQJPcoQN70HfrxiociqIoPkKRNNDlypXL+j7tIkl/2aPV2f/vYoSFheX694iICLS1o55SLmRmcrW25JRQZiZvxpI51hkZXMQmmS5pR06eoniC4GCga1d+ATxnd+06+7V7N9ctHD3KQhou8hSBLl4cqFWLK9yuuIKmuVkz1quSvCgoikXYce1PTZVNSUxL4301Hxap0MTGMm1GUtPTFEkDXbJkSdSsWRORkZGIiorK9bnZ/14vH8m53rooMDcGD2ai/saNcprNmnHl8rhxMnr793MmeNEiuVXEn3zCEkdSZfJiYoBnnmG1BYlcNWOAZctY+EDqPTVGvpqHQkqUAFq04Fd2jAGSkliNIC4OMOsex9awbshwFEO6szgyHMVRrHQwOt1Slqt1q1ZlVFk/RK8hMZGmRKrU3po1wN69rJEtcRhERwN33w188QXQpIn1egDvq5mZwLffyuidOsXTavp04J57ZDQXLOD7GhHBPgMSvPsu08wOHZLRs4IiaaABoGnTpoiMjERycjISExNzLGWXfTFgE6kzziZatmRpK8nKEM2by9Z8btCA0YAlS+TMXrVq1DtxQia6X7EiDW3t2sD48dbrBQQAb7zBBS0SvYYcDuCmm4AePYDhw63Xc2mqz8udgADmUVeoANSvD6BNOwDt7N6tIs+GDXJ1ft94A/jvP9b+lpihe+89ICyMefcSzJxJ056fOuiFwemkyXv4YRk9gPfT1FSWoZVizRreb6TMM3C2sUpRpsjWDOrqmo8EsC2XTiFbtmxx+z++SNu2nIbJT13YwtKhA08EqW6HJUqwa5Nk05Sbb6b5mjdPRi8wUL5ZyosvsnLD5s3WaxUvzujR2LGMeFjNnDlcAR4fb72WomTn11+Bdu14blnN4cOshT9ggIx5DgnhzNwzz8ilOMyYwYF31aoyeps3M+otWR962TL2MrjqKjlN6c6EDgcHeUW9LnSRNdB33XUXAv5/1i7JpRXcv/93WlWrVkXnzp0lds02mjen+dqwQU7zhhto2jdtktPs3p0n/KlTMnqVKwM33gj89ZeMHsBmKZGRcl0O+/Zl+cFPPpHRe+stzpK89pr1Wk2asOPePffIdm9UvJOMDNbNdjis1Tl8mIs4770X6NjRWi2AjY6qVWPjRwkmT+ZsxYABMnrHjrFBl2SL7/nzOSMoaS6XLmWQSGpQcuYMBwqSr/HAAa63UANtE40aNcLdd98NAPjhhx/cVuM4cuRIVvvuESNGoESJIpuxkidKlmROsmQO9DXXcBGAZOfBbt1YgF5S87bbaGazL7KyklatGIH44QcZvRIlgOeeY8TsIiXQPUKlSmxJPX269cdrgwZsh7xsGTv4WcnSpdTwZEMTxXPEx3NG6dlnrQ00nDkD9O/PKfEpU6w3Q1u3Mjo7erRME8fTp4GvvgIee0yuaeRvvzG3+/bbZfQAzjr26sXrowSJiQxGdekiowcAW7bwfirVrRg4G3DTFA4bGTduHKpVq4ajR4/itfNCWWfOnMHgwYPhcDjQqlUrPPPMMzbtpSxt2sga6OLFOXKVNLNXXcVcZMk0jttu400xewtkKwkIYBR69mw50+66GX72mYzeoEEc8D37bOGbflyMrl3Z9nriRN74rSIkhA1N2rblgl7Fezh4kOsmtmwBFi+21jC88gpT6X79VaYYySuv8Loolav7yy9AQgIbSEoxYwZTKaSKu0REMDLbp4+MHgCsXMm8a8ls0zVrWPFDsrnKpk1Ao0ay7dqtoEgb6Msuuwxz587FJZdcgvHjx+Omm27CF198gfHjx6NNmzZYsmQJWrRogTlz5ly0Y6Gv0LYtV0Xno+liobnhBp6ETqeMXkAA0zik0hsARjGbNGE+rRT3389Iz6xZMnrlynHF+ZQpMqa9eHFgwgRg3Trme1vN008DTz7Jx5UrrdF47DEOYI3h9OTHH8udF0rOLF3KXORixYD161ma2irmzAE+/RT46CPOJFnNkiUc2L/7rkyk1BgOEnv35nVRggMHOPCRTN9YuJD3mptuktNctgyoU+f/i3iFWLOGvkGyhfmmTTLnhuUYHyAmJsa8/vrrpnHjxqZMmTKmYsWKpm3btubTTz81Z86csUQzLCzMADAATFhYmCUaBWHnTmMAY5Ytk9NcupSaO3fKaX7/PTVjYuQ0X33VmCpVjMnMlNPs1MmY7t3l9EJDjSle3JiJE+U077rLmEsvNSY52Xqt9HS+p9WqGXP0qHU6qanGvPgij9GuXY3xokuE1+FwGLPmf+2dd3hVZdbFV+gdRRBQUMSCY6EIMqKAVEFHir2XmbGjWLErKjYUu9iwAMonFgSkiCACKp3QOyQBEkhCEtJ7ct/vjzUX0VHGaM46yT379zx5LjOJWefm3nvOevfZ79qLnLv3XudWrSr/3//OO85Vq+Zc377OpaeX/+8/kJ07nTv0UOcGDXIuFPJWyzlqdOrk3BlnaPSc42sFODdzpkbPOeeefNK5+vWdy8vTaV5wgXNduuj0nHOufXvnrr1WpxcKOdesGa9tKoqLnatd27lRo3SaXvm1iDDQflBRDXRJiXN16zr3wgs6zZwcXqDeflunuXs3T+KffabTXLyYmj/8oNN8/33noqKcS0jQaV5xhXOtW+sWCnFxztWs6dwjj2j0UlKcO+YY59q29d60f/edc0ce6dwhh5T/ezU5mYZNZZzKk5ISLvJvv51/H8C5ww93btKk8tMoLnbuzjv5u4cM4f/2kqIi584807mjjnIuLc1brTCff87nN3++Rs8556680rljj+XCR0Eo5NyJJzp3zTUaPeecKyhwrl49555+WqeZlsZz/dixOs3YWL5/pk3TaYaLfMr3rFd+rVK3cBj/TdWqvDWi7IOuW5cxYco86COOAP72N20fdOfOzB9VtnFcfDE3hypaHMLccw8QG6tLHWnVChg2jLe84+K812vcmK9hbCxw7bXetlj07s1e2HPO4aaya67hRqHyYOxY4OijgcMOY8/kvfdy0+n69UyaqGgUFQHffss2oebNuVFqyhTgoosY87ZnD3DhheWjlZkJDBjAVoPwl9ftDcOHsz3k00+Z3OM1xcVMsTnvPODss73XA5gM9MUXwJAhukmwa9YAmzdr2zd+/JFtbMr+5wUL2B6j3EC4eDEfVTMVALZvREXRM1R2zEBHIKefro2yA5gHrdxICOj7oKtU4UVZaaAbNuQGRlUaB8De3W7d2L+r4sEHaWyHDdPonXIKMGECDdyTT3qr1agRN119/DHfO23bctjFX+X664Fp04C772aqyeTJXBCEk3E6dWKM2ujR7HNUbUY9kPx8LsSuu46Lz/792Y/8z3/SbO7axT747t3Lb9BNTAw3CC5ezD7WIUPK5/cejNmzgeefZ7KMKg7sgw/4XJ97TqMHAGPGcCGiHCwycSIXiX366DRnzOBgkbZtdZrff8+e8qOO0mkuWgSccIIuVxuggW7TRrcZ1FPKrZYdMCpqC4dzzk2cyFske/fqNCdNoqay1WDKFGrGxOg0v/6amps26TSnTaPm6tU6zcmTqblkiU5zwgRqfv+9TvPZZ6n5+ecavR07nOvenbdqH3jAufLeopGe7tyCBc69+qpz11/vXLt2bK8CqHn88c5deimf9zffOJeYWL76zrEt5rPPqFO3LrVPOsm5xx7je9jLlpMFC7hP4bjjdJ/RPXvYftKvn66tISeHvavKtoaiIrbb3HijTjMUcu7oo527+WadpnN8/9x0k1bz5JOdu+EGrWaHDjxPKPn73527+mqtpvVAVzAqsoGOieFFa8YMnWZSkr4nOSPDuSpVnHvvPZ1mXh43QIwcqdMsKnKucWNuslJRUsKLyKWX6jRDIfaQnnqq9/2qB2pecQVf0+hojWZJiXPPP+9c9ercNLRhg7d6BQXcnPfhh84NHepct27ckMUbxs41bepc//7OPfggF99btpTdCKanc2PvoEHO1arF39uhA3tIVUb2gw/4N+3ZU9eDXFLCTaLNm7MnXcXTTztXowb3D6j44gv9Qn7hQn2/7JYt1Jw6VacZvn5OmKDTzM7WXz+Lirjf5ZVXdJrOmYGucFRkAx0KsQrzxBNa3eOOc+6OO7SaZ5yhNXnO0SScdZZW8/bbeZFWJoC8+SZPsMqL9PLlvJC89ZZOMy+PSQYtWvBCpmLlSuf+9jcaztdf124GLC3lQvvLL5179FHn/vGPnzfzAawc/6/K1N69zo0ZQ/NdvTr/uzPOcO7FF7V3hUpKnLvvPurfeCMv0ipGjGBlX3nXJCWFC6C77tJpOsf0mm7dtJp33MGEHuV57+WXafJycnSa4bvGe/boNOfOpeb69TrNVauo+eOPOk3nzEBXOCqygXaOF7XzztNqXn89q05KHn2UiwXVrVPnWMmLitJWnJYu5Ynn2291mjk5jOS65x6dpnPO/fOffE1VVUTn2HrUvDljqwoKdLp5eTQJAFsAdu/Waf8We/c6N3s2U3zeeee/v5+dzYVVz55cXFWp4lyPHlwA+HEazMpy7vzzeRyvvqpdhCxYQN3hw3Wazjl399000MoIz7Vr+R6dOFGnWVzMuyN3363TdI53FPr312refDOTRpSMGOFcw4baa+f77/Mzo4gsPRAz0BWMim6gH3uMWbfKC8qYMfxwZGXpNOfN44ndi/zY3yM5mQb6ww91mqGQcyecoO8de+ghXqwzMnSaiYmMkBo6VKfpHPu9a9bkQlAdDTdrFntaGzUq3yi38iY727kGDWj233tPu4j8NXFxzp1yCt+fykxi52hejziCiwdldXTHDrZujBih03TOuVtu4QLTo7EKv8l33/HcvmyZTjMzk3sG3nhDp+kc9ybcdptW87zz+DlWcsst7PVWYzF2Rpno3BlISeEudxVduzISbMkSnWaXLhxDqoyzO/xw6irTOMKjvb/6SpumcPvtQEEBd/yraNYMeOwxpkds3KjT/fvfOeZ77FhOklPSrx9Hf/fowVi3f/1LO030j1KvHqPMZs1iwsfhh/tzHAsX8hyXm8u0jXPP1WmHQkyhKCpikkt5pYf8ER5/nIkrd9+t08zIAMaPB26+GahRQ6f76adMpejUSac5Zw5QUsKR4SoSEjhmXhlfFwrxc6NKjAmzYoX29fQaM9ARyumn81EZZ9emDeOGlHF2NWsyAktpoAFg0CBGV+Xn6zSvvpqjvadM0WkecQRw+eWMGisp0eneeSdwzDHAXXexK1fF1VcD998P3HcfM4uVNG4MfPkl8OGHzNpt354xUxWN2rX91f/4Y+Zet2nDKLyTT9bqv/IKY87Gj+fnQ8XatXzuw4cze1/FuHFcLNx0k06zsBCYNInnnqgone6MGcBJJ/Hco2LePD56OV7+12zZAqSnaw10YSEzvc1AGxWepk2Bli21A1WiooCzztIOVAGYD/rDD/yAqhg4kGZWmUPdqhXzmZWZ0AAHq+zaxeq3ipo1mUM9Zw6zjpU8+ywrmpddxguNkqgoZiSvWcNK/PDh2gVERSYU4uCQa68FrrySi+YmTbTHsHQpM8vvv19b9Qb43I89FrjhBp1mKMQ7QRddxOE3KmbPZuVbOTwlFKKBVlafARrotm21WcyLFnGuQefOOs3wgKeOHXWaXmMGOoI5/XStgQbYxrFkiXYSWu/erASHpyopaNMGOP54bRsHwDaO774DEhN1mu3bs+L30ktaM3f++Zzgd8892sVR1aqc/HjEEVwopafrtMO0bs3JZJ99pq3AVXTi4oAXXmCVvmZNrXZGBiuinToBTz+t1f7hB5q7Z54BqlfX6c6Zw/aC22/XaQJs3zjlFO3dhehoYO9efwy0sn0DoIE+9VTtMJMVK3hubddOp+k1ZqAjmM6deVIoLdVpdu3KvsQ1a3Sa7dqxdURZDY6KYhvHtGnejoL+NZdcwguocrQ3QBO7bJm2pSAqirfLd+xgC4mSBg24OEpJAR55RKsdplo1zUjoykKVKnzfDxumX1Q4x8pvRgbNndLEOgc88AArdxdfrNMFWH1u1453FlXk5nJ6pbL6DHCB0rChtq0hLo7nt169dJoAi01dumg1o6O5IKpTR6vrJWagI5jTT+dGJOVt6NNOY2VI2cZRpQqr0Oo+6IEDuaFKWeU/5BCOE1e3cZx7LqvuyvHeAPsRhwxhxS8zU6t93HGswClHJRsHx89qfI8ewEcfsZVKydSpvKs3ciTPdSri4oDp01l9Vv7dp09ne9zll+s0w7r9+2sXR/Pm8TXt3l2nuW8fsGmTbSAsD8xARzDhXiOlwatZk5Vv5UZCgH3Qy5ZpTVaXLqx8T52q0wTYxrFhA7Bzp06zShVurAO0dzQA4IknmPrQsKFWF+BnyA9do2IRFUUjOXiwXvuMM3gHpndvre769VwsXHmlVnfqVF5DWrfWaSYmskKqbt/4/nsWnQ45RKcZTslSGuiCAqYMRZqBjnLOtqj8GRISEtCyZUsAQHx8PFq0aOHzEf02I0cCffvyQ6pixgwaLuUmm8REmvbzz9emBCxaBJx4ovZWe3ExbyWrN1AZhhEsQiFt1Rtg4seePdpKf3Ex+8xPO40xgSoWLwayshhjqWL7dm4IV7ZCZWUBb77Jzaht2mg0D8Qrv2YG+k9SWQy0YRiGYRhGUPHKr1kLh2EYhmEYhmGUATPQhmEYhmEYhlEGzEAbhmEYhmEYRhkwAx0hOMfYnw8+0Glu3w5ccAE3fKiYOpUDPVTk5nJogzLdIzvbn+EdhmGUH+rdRbGxQEKCTi8jA3j+eSAtTaf56qvA++/r9AoLOcwpnFyhYPZsDlbJytJpjhihz92+5BLgoYe0muWNGegIISqKRvabb3SaDRsCU6Zo85dXreKHXTXpMD2dAxQmTdLolZZyrKsqe7ioiBnLK1dq9AzDT5Sm5PHHgTvu0Ok98gjNnsq4T5nC8eIFBRo95zhYae1ajR5A4zxnjnbq5YIFzGmuX1+rqXodw/z4ozZz2wvMQEcQ3boxyk11Am3ShGOelQZ60CBWgxcs0Oi1aMH81fHjNXpVqwKXXgq8+67mYh8VBUycyAu94n2zZQvw9tve6xjGr5k5EzjmGN4585rERN4pU41KTkriIv+mm3TRZBMncgDIkUdq9DZsAHbt0mY1z5vHWDvl+OlFi5jRrHodnWMGtjKjOTmZX5V9rLcZ6Aiia1e+KWNidJp9+tBAq0x7+/bAUUdph5dcey0N+44dGr2hQzmJS3Grsnp14PXXedKeMMF7vSlTgNtuAz7/3Hsto+JTWgrMn++9TmIicP31HH507LHe6z39NFCrFrN2Fbz/Pke/X3+9Ri8lhed95bTAmTM5Bvrss3Wa8+ZRT5WFXVLCgWDKMduxsWzHCQ9eU7BmDR/bttVpeoEZ6AiiSxeuWpVTAPv25cVp0yaNXlQUR2hPnaoz7RdcANStC3zyiUbvyCM5/eu11zStKr16ARdfDNx/P/uvveT++/ncrruOFwov2bWLF3qjYpKTw8l+/foB8fHe6YRCXARXrcpR3F5X9mJigPfeAx58UDNhrqSEd6yuuko30S7c0nbRRRo9gAO6evfmwkRBfj5bOHr21OgBbE/Jy9NOCVyxgo9KA712La+pisWsl5iBjiAOOQQ49VStge7aFahRQ9/GER8PrF6t0atXjxeK8eN1pv2ee2gAv/xSozdqFKsQTz/trU5UFDe6dujAhZCXxmnoUODkkzl1y6hY7NnDyt78+VwM/2fGgSeMGgXMncsFsGJ65/DhwOGHc/S3gmnTuHlwyBCNHgB89hnNrGoaano6sHChtn1j0SLuEVEa6MWLeVdQaWajo3lXVznZds0aehX1lMvyppIfvvFrunbVGug6dYCzzuJGCxVnn80NjOo2jm3bgKVLNXrt2rG6P2qUxrQffTQrZq+8Amzd6q1WrVrA5Ml8HDCAlUgvePddvjcvuojVuX37vNExysa6dcAZZ7Dd7KefgP79vdNatoyb6x54gIbPa9auBf7v/7iBsE4d7/UAYPRo3n1s316jt2cPW9qU7Rtz5rDd57zzdJrz5gGNG3MRrmLRIo4TV1XZAVaglf3PAA10ZW/fAMxARxxdu3KjlvLWdZ8+rCSpkjGqV+eJVGmge/TghkLVZkIAuO8+pmOoNkwOG8b2kbvu8t60N23KyllMDM1taak3Gl99BXz8MfsnTz4ZmD69/HUiCed423roUBrc8mb2bC5qDjuMi1EvNxFlZTGa67TTgKee8k7nQB55hLel//Uvjd7mzayuK6vPX3zBfusLLtBpzpjBiqWXdyp+zfz5PO8rq6SLF2v7n0MhXmOUFe+iIrZ8VvYNhIAZ6Iija1c+Llyo0+zbl1VEr3taD2TQILZw7Nyp0ataFbj6au48LyzUaPbty4vGqFEavdq1gZdfZhTijBne6516Kv+e06d7lwcaFcXXbf16to0MGAD885/aXO/KwIYNwKOP0vx16cLWofK+E/H++1z4dusG/PCDt+kNzgG33spCwqefauKyFi7ke3nECF0819tv89b7xRdr9AB+Zs89V9dvHQrxnKRs38jN5fVM2b6RlATExWn7n2NieC5UVqA3bWLfvhloo8LRsiX7mZRtHKedxpOpsg/63HN5kfr6a53mNdewF09hLgGav3vvpZ5qk+bgwTTud92lyQX9xz8Y9/Xii94OATrySP4dP/iAG6BOOYXV0PJi2jQuAj7+mLdEvWpLKU927gRGjuSF7JRT2ArQuzcrmvHxNLrlQSjEv82NNzJmbepU7zNuP/6YrRTvvgu0bu2tFkDD/uCDbKO49FLv9QCavLFjmVOvyinesYN3KJTtG8uXcyGkNNALF/KOqrr/GdBWoKOj+ehHAsepp+o0vcIMdASi7oOuWpVJDkoD3aABT27KNo6TTuJK/eOPdZpXXAEccQQrwwqiopj+sXMn+6EV3HkncPPNwC23eBtpFhXFW+vr1wMnnsj0h1tuKZ/kkZgYxgBeey1w+uk0iEcfzf7ee+4BxozhRdnvPuyUFFYtu3UDWrUCnniCf4spU1gBGzOGn+WqVctHr6CAqSsjR3KhNHo0b/97ydatjEq8/nrddLVvvuE599lndbf8J0zgQu3mmzV6AOMna9fmnRwVM2cyi/mMM3Sa8+YBzZrxs6Fi8WIWwFq00GmuWMHzwGGH6TTXrmUeuyoj3VOc8aeIj493ABwAFx8f7/fh/IK33nKuWjXncnP1mllZOs3Ro6mZnq7TfO0156pXdy4lRaf5/PPO1ajhXGKiTvOee5yrU8c51Vu7qMi53r2da9TIuW3bvNcLhfierVvXuVatnPv++/L5vVlZzi1b5ty4cc498IBzAwc6d9xxzlWp4hzrlM41bepcjx7O3Xabc2+84dzcuc7t2cNj8oKsLOc+/ti5c891rmpVfp17rnPjx3v7eU1Jce7MM52rVcu5SZO80zmQwkLnTjvNueOPdy47W6NZWupcu3bOde/u3Wv4a0Ih59q25ftLSYcOzl1yiVazY0fnLr9cq/n3v+s1zzrLuUsv1Wr26OHcRRdpNfv0cW7wYK2mV37NDPSfpCIb6LVreaGeN0+nuW0bNadN02nGx1NzwgSdZnIyTfubb+o09+2j0Xv0UZ1mZiaN3hVX6DT37XPuhBOca9OG/1YQE+Pc2WfzfXTHHc7l5Hijk5/v3Jo1zk2c6Nzjj9OEnHwyF2NhY33IIc516eLcv//t3KhRzs2c6VxcHA1aWSkocG7KFOcuu8y52rX5+886i4vOvXvL/en9F1u3cuHQpIlzS5Z4rxfm3nv5N42O1mn+3//x77twoU7zp5+o+e23Os3Nm6mpWgw5x4UlwAWgiqwsLjLffVenWVjoXM2azr36qk6ztNS5+vWde+45nWYoxHPC8OE6TefMQFc4KrKBLi11rmFD50aM0GmGQs4dfbRzd96p03SO1Qn1qn3AAOc6d9Zq3nknq7PKuwoffcSL14IFOs2tW5079FBWo4uKNJqlpbxw1a5N0/fTTxpd55wrLnZuyxbnJk927tlnnbv6ar6n69T52VjXqUMj/L8oKWEl/YYbaMYBVimff965HTs8fyr7+eEHvldPPNG52Fid7jff8Dm//LJOs6jIuWOP5TlByRVX8L36ZxZXf5Ynn6ThysvTaX74oXNRUZpFX5gZM/g+2rpVp7lkCTWXLtVphhdEc+boNMMLIuUizDkz0BWOimygnXPuvPOc69dPq/nvf7OqpuSpp3hSLyjQaX7xBU8CmzbpNOPi2AYwerROs7SUtzLbtqXRUzFvHqv8N9+suyXuHI1sly68YN97r9Yo/JrSUpremTOde+kl595++7d/LhRybsUKttwccQTfl61aOffww86tW6c9Zud4N6hGDd4aVt1FcI7tTYcfztYUpal8+22+X9au1WkmJbHKrlwohEJcEF1zjU7TObYXnHGGVvO++/hZUp57XnmFrU6FhTrNCRN4vkhL02nOmkXN7dt1ms6Zga5wVHQD/eyzNJYlJTrNTz/lh2PPHp3mmjXUnDVLp5mfzwrfww/rNJ1jpf3YY7Wv6bJlNAhK4+6cc++/z9dVeUvTOf5tX3iBt1NPPFFbESor2dlseQFoHu+4w7nFi7UX/jChkHNPP81jueYarREoLXXunHPYcpScrNPNzXWueXPeNVDy9NO8W6JcoITPszNm6DQLC3kNe+opnaZzvAN01VVazUsuca5rV63m3Xc717q1VnPkSOfq1dMucp3zzq9ZCkeE0rUr0wXWrdNphid9KdM4Tj2Vu4iVaRy1agGXXcY0jlBIp3vffUx7UEb3nX46kysefRRIS9Pp/vvffL733MNd+CqqVuVAmZUrOcK9SxcOx1Blf5eFevU4hObbb4Hdu4HXX2dSQVSU9jiKi/l6PfooUz3GjQNq1NDpv/wyIwk//pgjtFW88QZTTZ58UqdZUsJoviuvZDKFis8+o16fPjrNhQt5DVPG12VkAKtWaePrACZwKPOfAUbYKePrgMgZ4R0mQp6G8WtOP50XMWWcXZMmzEFVGuioKA5VmTpVa2avvZZZuaopgQBf0+7ddYNVwjz7LP+2jz6q1X3+eeD885k5u369Vvukk3hRe/JJZlSffjovrBWNxx8HzjnH+2i43yMjg5nsn3zCKZ3Dh2sN/PLlzJi+/37ml6tIT+f78+abNTnTYaZP53nnttt0ms5xeMpFF2kXRjNmAM2bcwCSih9+4LlOaaDj44GEBH8mEKpHeK9dGxkDVMKYgY5QatXih0NpoAFWKL77zvtR0AcyaBCwZ8/PofAKunTh1DblaG+Ag1UWLfo5dF/B4YfTSL77rtZEVq3KrNvWrWmk9+7VaQM0pY8+SpNWpQrvOngxcryysnMnx3JHR7MCfM01Wv3sbOY8t2/P6X9KXnyRI4nVi8q33uJdhtNO02muWAHExmqHpwA00Oeeq12QzZvHQWTHHKPT9GOAytatzBBXVqALCzl63gy0USno2hX48Uetme3Th2Z282adZrduvL2obOOIimIV+ssvgbw8ne755wMnnMChFEpuuw3429+AoUO176d69Tjlr7CQUxIV0xF/Tbt2HOs7c2b5DRip7DhHw5yfTwPQo4f+GIYMAZKTOapbWRlNTOSwobvu4rANFVu3AnPm8HkrmTgRaNpU+xrHxvIaomzfAGige/bUmvZFi1gkaNpUp7liBR+VC7GNG9mC1LatTtNrzEBHMF270szu3KnT7NaNFzNlG0e1ajzRKg00AFx9NVfxU6boNKtUYRX6q6/YD62ienX2fP70E0ckK2nZkq/tqlXA7bdrtcPUqAEcd5w/2hWRqCjgo4841lk5rS3Mxx/z6+239a/L009zdPawYVrdt98GGjcGLr5YpxkKsf/5kku0i8eZM3nOUfZcp6WxRzcI/c8rVvAOqrKPfu1aPkbCCO8wZqAjmPCHUtnGUacOb+vOmaPTBNjGsX49KxcqWrfmIkXdxnHNNbyQqkZth+nVixfvYcPKZ/x1WejcmZVGZe+ncXCOPVa7ae9Apk3j5+Dqq7W6sbHAe+8BDz4IHHKITjc3lwuWG25ge56KhQu5QdWP9o1u3bTjnsP7WZQGOj+fhQFl+wbAtit1//OaNTxn1K+v1fUSM9ARzGGHcTOUH33Q8+dzd76Kfv1YJVRXoa+9louFPXt0mrVr8zbutGnavzHADYy33srqkJrBg7W3HI2Ky8SJNLJqkpJYmFDfCZkyBcjK4qZFJZ99BrRooTV4eXlspfCjfaN1a/ZAq4iO5jlcWYEuLeUGQj8SOCKp/xkAfNq7bai4/HJtzyrAE19sLKuUjRppNOvXB555Rm+wLrkEaNhQ9zzD3HMPK8FqI3v00cBjj2k1DePXVKmircSGOfNMbfJOmCuuYDGkVSut7tVX886TMnYsL48FgoEDdZoAq6P//rdWs7iYveWnnKLT3LeP18kzztBpArxGq1tVvCbKObW9igwSEhLQsmVLAEB8fDxatGjh8xEZhmEYhmEYB+KVX7MWDsMwDMMwDMMoA2agDcMwDMMwDKMMmIE2DMMwDMMwjDJgBjpC2LGDO2uV7N6t1TMMwygr+flavcxMDo1QMmsWsGWLTi8/n8OckpJ0mkuXUlM5DfTjj4EPPtDpAcwZV84WABgPOn++Tq+gALjySu1kWy8wAx0hDB0K3HmnTu/77xlvpJo4uG8fcM45wA8/aPQAhs3bFlsj0nFO+z4fNQr45hud3lVXMW5Sxeefc1hEaqpGzznmQytj/RYvBu67D0hJ0WlOmgS8+qp2oMv773NxosI5Psd163SaGRkc0pOYqNPcto25/rm5Ok0vMAMdIQwezND7vXs1emedxSlG48Zp9A49lNWOkSM1eps2AaefrhuSkp1d+U8mRuXkww85Ir6oyHutnTuBhx9mJqyC3buBr7/WRnZ9/jmHcTRurNFbt47P89xzNXoAq5WHHQacfLJOc8kS7esYCrFCqsxL3rOHExGV467Dd0tOOkmnGb5b0qaNTtMLzEBHCAMGcLzu119r9GrWZDbp+PGaW2pRUcD993PEq2J1/re/8fkNGwakp3ur5RwNzOWXAyUl3moZlYPUVGDrVu91YmJ456pZMw4i8poRI7gYvuMO77UA3n6vVUs3sTAlhXfnLr1Uowewml+3Lif3qZg/Hzj7bF0+dHEx7wgqB7ps28bChtJAh8ddqw10lSpaM7tlC88DqkWmV5iBjhCaNOFYaWXv1PXXc8X83Xcavcsu45SoF1/U6L30Enu1HnnEW52oKOChh3ghvP12axsJOrt20QxdeaW374WSEo7DPvxw3jb2mu3bgbFjOQa7bl3v9UpK2NZw1VW6kdCTJvHzfOGFGj2ARYXevVnUUJCXx35k5cjrNWvYd6000NHRfFQO51q7lgNHjj5ap7lhA4fIKAcTbdlCwx4VpdP0AjPQEcQFF3CsdHa2Rq9TJ972UbVxVK/OCXyffkqT4TXNm7Ni9s47rH54Sf/+vNi/+y7w/PPeaj3zjO4WulE2Nm1ie1RBAd/nXl5gnn+eRujjj3nR9ponnwSaNgVuucV7LQCYMYOtDSo9gO0bvXvrKmuZmWzdO+88jR7AVoqiIk7QU7F4Me+QKM1sdDQnPx52mE5z7VpWn5WTHzdu1LZvAD8b6MqOGegIYtAgnthUmx6ioliFnjyZGxEU/PvfvNi/8opGb8gQntBuvdX7VpV//Qt44gn2iH78sTca2dk0Zh07chNQTo43OkbZWbaMledDDqEpOv5477RWrKChffBBGnav2bgRmDABePRRoHZt7/UALnw7dwY6dNDoJSVxzLeyfWPOHJ6X1P3PjRtrTdfixTTPqio7QAOtbN8AWNhQtm8AegPtnBloowJyzDFAu3baNo6rr6Zp//xzjV69emxzGDOGyRxeU60adyivWEFNr3n8cRrpf/0LmDu3/H9//fqMOxwxAhg9mpuAVH3zlZmEBC5uzjrLm4XUnDlAr17AiScyaeaII8pfI0xeHj+3bdsCw4d7p3Mgw4ez/erf/9boxcYC337Lha+Kr75i5XDwYJ3mN9/wM3zUUTrNefO0/c+APxsIV67UGujCQqZaKQ10ZibPbcrNoHv3UtcMtFHhuOAC3rpU7KgH2ObQrx97G1XcfjtNzFtvafS6dOGF/6GHvE85iYpi5ax3b/ZRhjeVlCc1avC5bNjAysOgQXzfxMeXv1ZlprSUBmXQIPYkvvQS48nKu2r/+efAP/5BUzJ7NjfXeMmwYUzD+OQTzcbB1auBL7/k4lChB7AdqmFDbTX4s8+APn10t/ydY/+zsvoc7n9Wtm8kJwNxcdr+5+3b9RsIN23iOaddO60m4E8Cx4kn6jS9wgx0hDF4MFd3ylD066/nLTZVkP/hh7NC+/rruiEJzz/PissDD3ivVb068MUX3Nhx3nneGdvWrXkB/vxzXhRPOomtMUFPAklKAp59FjjuOP79d+3iYm3PHi5uGjYsP6233mL6ymWX8c5RnTrl97t/i2++oeaLLzJpRsHjj/NvqcpiLixkNN9113n/9wyzZw/w449aw756Nd+ryv7nxYuZiKHufwb82UDoRwLHKafoNDduZNFGncBRpQqvb5UdM9ARRtu23PgwebJOc+BA9m2qMpMB4N57mZf50UcavcaNaaLHjgV++sl7vfr1eSehWjVWmLzqMY+KAi65hJWI66/n37VzZ/bjlgejRtE4PfwwjdvUqbw4JSfzNmlFIRRiy8yllwItW3IaWM+eXFisXAncfHP5brRzjj3IQ4YwRm7cOC6cvCQ1lQvPfv2oq2DpUmDaND7XatU0mpMnM07u5ps1egDTN6pV07dv1Kun6WEP41f/85FH8nOpIjqad52UGwjXrGFRQ7GhN8yGDdRULTQBGuhjjtH2s3tFlHMWmvVnSEhIQMv/fKLj4+PRokULn4/oZ+65B5g4kb1Nqj61227jhXLHDt2kqMsvB5Yv5wdScXEOhYAzz+RtzJUrNZrhVIZ27bg51OuTzvLlNB6rV/M1feaZv1ZxffZZVrkTElilKy7++XvVq7PXt0ULXiAPfAz/+4gjvDWWqalcFL33HnNfTzqJqQ3XXMNFoReEQjTNb77Jv+9DD3kf5+QccNFF3OS2bp23PdYH0q8fX/u1a3XnhR49+PecN0+jB3DzZ8OGwPTpOs2uXXk37quvdJrdujFJ5csvdZpnn83n+cUXOs2ePYFGjbgwUtG3LxdEyuLXuefy/KrcBzNgAM+BM2boND3za874U8THxzsADoCLj4/3+3B+wYIFHM67ZIlOc8kSas6erdOMjqbmxIlazSpVnHv5ZZ3mjz86V7Omc1de6Vxpqfd6xcXOvfKKc/XqOde8uXOffeZcKPTXf29pqXNJSc6tWOHc1KnOjR7t3MMPO3fttc716uVcmzbO1akTHizNr6go55o1c65jR+cGDXJuyBDnnn3WufHjnZs717nt28t+HKGQcz/84NxVVzlXowa/rrqKf+fyeJ4Ho7DQucsv53vo3Xe91TqQDz/k3/PLL3Wa4fOQUnPDBv05IT6emuPG6TT37eN76L33dJq5uc5Vr+7cG2/oNIuKnKtd27lRo3SapaXONWjg3DPP6DSdc+7ww50bPlyredRRzj34oFbz+OOdu/turaZXfs0M9J+kIhvokhLnGjd27oEHdJqhkHMnnkiTp6RPH+dOO81743Mgt99Oc5mQoNP84guaSeXJLj7euQsuoDno39+5mBjvNUMh59LTnVu/3rlZs5x7/33nnnzSuRtvdO7cc51r29a5Ro1+NtgdOvzx352e7tzrrzt30kn8b48/nhfmlBSvns0vyclxrl8/GnalqYyN5fv1uut0mqGQc9268fVRLPrCDB3qXJMmXKioeOUVvqbp6TrNiRP5HlZeer77jprr1uk0V6yg5sKFOs2tW6k5a5ZOMzGRmpMm6TSzsqg5frxOs7DQuapVnXvnHZ2mc2agKxwV2UA759y//sWKnpLnn3euVi3nMjJ0mnPm8CQwZ45OMz3duaZNnbvsMp2mc6x6A6zcKvn6a1YqatViVUZpTn6PvDzntm1zbu3ag/9cKOTc0qXO/fOfrGRVq+bcJZeweq00dmlpzp1xBo3s3Lk63ZIS5846y7lWrZzLzNTpzp7N9+r06TrN3FznGjbUV9S6dHFuwACt5nXXOXfqqVrNRx9lYUb5uXnjDVa98/N1mp9+yveuamHtnHPffkvNbdt0mkuXUnPFCp3mpk3UnDdPp+mcd37NNhFGKIMHszd482adZjgTWtmr1rs3ByWMHKnTPOQQbo777DPdGHMAuPtu4K67gDvu4GY8FQMGcLPJ7bczUaFDByYO+Ent2kx2OPXU3/5+djanOp52GvD3vwPff88hHvHxTB3p1Uu3PyAhgb2j27ezL7dXL40uALzwArBoETf4qsZZOwc89hj/7sqEiM8+A7KygJtu0mnu2sVNbpddptMMhbiBUPm3BbiBUJ3/HB6gohwzHR3NXG3VNEmAewTq1uWGPhUbNnCvgCqNB/g5qSsSMqABS+GIWPr04QdSuSHhyCOBc87RZkJHRTFa7rvvuLFPxVVX8WIyZAhjs1S89BLzoa+4gsMFVNSrx+iz6Ggase7dmY2dlqY7hj+Kc4yfuu02XghnzgRiYpgE0qyZ9li2bOEm0JwcThfs1EmnvXIlFzwPPEADr2LGDKZvPP2095sjD+Sdd4D+/bnDX8WXX3Jj74ABOs1Vq5hH70f+c8+eOk2A5zhlfB3gzwTCtWtZDFCP8G7VSp/AUb++/jzsFWagI5TatXkxUU4lBJi9unAhEw1UXHQRL5ovvKDTjIpiLFtsLKvRKqpU4Zjvjh150d6+XacNMA1k4UJOZ5w0iWH448bRtFYUoqJ4fDt2sFJ/7rm6BIgDWbGCSQn16rEKfMIJOu38fN4ROvVURsipCIVYfT77bN4dUrFyJaMXb7lFpwmw6n3uubrqPsAFYYMGTARS4Uf+8969PL8qJxA6p59ACARjhDfw8whv5cLaS8xARzCDB/Oisnu3TnPQIMY5jRun06xWDbjvPraOxMbqdE86iZGBTz/NSVkqatWiMWzcmIuklBSdNkATf8stbA/q25ctJV5PaCwrvXtrc2N/zdy5rNYddxzbXY48Uqv/wAN8T6qmDYb56itGII4Yoa8+t2ihbWvYsYPnV+XwFIDtG337ep8bfiB+5T8D2gp0TAwHkSkNdFER40rVBnrDBu0Ib+BnAx0pmIGOYP7xD5pLZb9s7drMZx4/Xjso4/rrmdv50ks6TYDVtsaNmeurpFEjXkhzc4Hzz+ctVjXNmgH/93800k2b6vUrKpMm0ch17crWokaNtPqzZwNvvMF9AUrDU1oKDB/ONi5ly0hmJt+HN96oG9YCcMFeq5a2fSMtjW0NfvQ/h/O1VSxezLxy9QAVQGugt2xhdV9poHNygJ07/atARwpmoCOYQw/lSU/dxnH99dyspRxkUKcOMHQoR/gqq6H16gGvvcYhMsoweoD9azNmsJJw+eX+tVGohnJUFgoLOd1x6lTuQ1CSlsbPX58+3PSpZOJE3hYeMUKrO2ECUFAA3HCDVvfzz1mkqFdPpzl7Nj/n/fvrNMP9z8r2DYAGuksXrWmPjqZhb9JEpxke4a000OFwAaWB3rePg6vMQBuVhsGDaWTT03Waf/87+z2VmwkBbhqrUoUT3pRccAEvaEOH6ivBp53GStg//hE5fWWVnSuvZJ+6snUizLBhNJNjx2o3JJWUAE88AQwcyFHwKpxjv/ugQdqFXEwMe9zV7RszZwLt22uf66JF+v7nkhJORVX2PwP+bCBcs4Zjw//KxNeysmEDHy2B469hBjrCGTSIJ6OZM3WaUVGsgk2axFgpFYcdxtu4b76pNbJRUbxl3qaNdqES5txzOX7bqDj4tZh56il+7tQ91wsWcP/BU09pdRctAtav128e/OILtqv94x86zVAImDXLn/YNdf/z2rXcCKvsf/ZrA+Hatf5sIDz6aO3dk7CBPv54nabXCDvGDD9o0YI9eurK6DXX8IKam6vdoT5sGDNZldE8ADeLffutVtMwfk2LFvxS07s3P+9HH63VPfJIRvUpEz8AtubcdJO2RWfPHrblKePrAL6u6v7n9et5B0dpZnftAjIy9AZ63Trgn//UavqVwHHUUfprs5dEOVeRAqgqDwkJCWj5n90N8fHxaOHHVcswDMMIFM7p73AUFelbkjIztW0NAA10rVrawS2ZmbxLfNhhOs2sLOoqN2hmZwOJido4zzBe+TWrQBuGYRhGJcGP9iA/+vnV5hnglFk1fjzPBg20d4YBDlCpX1+r6TXWA20YhmEYhmEYZcAMtGEYhmEYhmGUATPQhmEYAaO4WJ8bnpio1czJAbZu1WrGxFBTyZIl1FUycyY33alwDvj0UyApSaeZnc0BPWlpOs2kJGrm5Og0Y2OZpV5YqNPcuJFRn8pha15gBrqSY1tADaP8GT+em2xUXH45B3OoeOkloEMH3QWsuBg48UTglVc0egAwZw6jJRMSdJqjRjEXXslttwHPPqvTKykBLrqIY9tVJCQwXz08KVDBunXAVVdp3z+LF1NTmZr13XfAtddqc+OnT+egJ6WmF1Tyww82U6Zw4lhxsd9HYhjecvfdnHSnYNEi4LrreGFRsG4d8NlnQNWqGj0A+PJL7oZXXcCWLOHOf+WI7wULOK1TmTSwZIl2+EdhISPfTjtNp7l9O4f1KLOLN27ko3LwR/hOgjK3ePt2brRTTkKMi2P0ZfXqOs2dO/WRl15gBroS06IFQ+4VVZ2iIo7ozc31XsuoHMyZo1m8ffMN8OqruqrMU08BJ5+sqySOGQMcfjjz2hXExbGSd/HFGj2AA0AaN9Zm7C5YAJx9tk4vN5eLIaWB3rCBn0Hl33XdOj6eeqpOc+NGDq5Rmq4tW7j4UuYWb9/OmQLKpJW4OKB1a50eAOzYwcVtZccMdCWmUyfgrruA4cP5wfOSbduAkSNpKgoKvNUyKj5jxgDnnAN88om3OpmZnC7Zr59m2MDSpRyI89hjmupsfj57Aa+/XhcVNmkSc26VE+1mzeL7RVXxzsjgiGSlgY6OBkpLgb//Xae5ciX/pspq8Nq1QLNm2irppk1sAVLepdmyRT92OmyglcTGAscco9W0CrRRIXjqKZ7MbrnF237ok09m39KPP7Jf09pGgsuYMZzCdvvtNH5ect99vPU/ZoymKjNiBG8Tq6qzX31Fs3fDDRo9gO0b556rG+ObnEyj17+/Rg8AfvqJ50OlgV6yhJMJTz5Zpxkdzferskq6bp0/o6fVk/O2bg2GgVZXoJ0zA21UEOrWBd55B5g7Fxg3zlutHj1YvZo5k8aptNQbndWrWW1U7vKOFBISWFHwivfe+9k8v/66t6Z29mzg/fe5MUvRx7piBTBjBvDoo7pK15gx/Fyp+ix37WKVXdm+MXs2H885R6e5YAHHfCsra0uWAJ07a6ukK1dq+58BVqCV7RvO6Q10aSnNrHJqXmEhEB8PHHusTjM7G0hN1X5O9u1jyoi1cBgVgn79gKuvBu65h9UeLznvPMbsTJzoXdU7IYFG5oQTgPvv5wfOODhxcXw9jj2WLT1e8N57wM03a8xzdjZbN/r04aOCESP4nrvsMo3e1q00eqrnB7DiXaMGcP75Os1Zs2jymjbVaYb7n1W9pM7pNxAWF7NNRWmgs7N5rlFWoJOTgfR07QbCXbtoaJUV6Lg4vo+UFei4OD4qK9A7d/LRKtBGheGVV1j5uOsu77Uuvhj48ENWB++9t/xN9PnnM9f0wQeBt96iKXzhBfaLGr9k61beDTj+eJqjp54CRo8uf52web7jDu/NM8CFU1qarnVj1Srg66+11ef33wcaNQIuvFCjB7B9o18/3RjfUIgVaGX7RnY2K7PK9o2EBOZcK/ufN2+myVNuIFy/no/qDYSAtgK9ZQsflRXo8D4mPwy0sgJtBtqocDRuTBM9cSKrt15z3XXAm29S84knyv/316/P3xsTw1zMRx6hSfzwQ+9aRyoT69cDV1zBqszs2WxziIsDHnig/M3Ru+/+bJ5fe817Q/v992xLeuEF3W2+ESN44briCo1eUREwdixwzTXc0Kdg925g4UJm+KpYuZK3iPv102kuWsRzhLr/GdBvIASA9u11muvWcYGprAZv2sSINWVrw9atQM2awFFH6TS3b2fSSPPmOs3YWGoq7w7t2EFN5SZUrzADHUFcdRUvVLfeyiqM1wwZAjz3HKueo0Z5o9G0KY36pk1A167Av//N24fTpgVziEx0NCuWp55Ko/DmmzwJ3nUX++HLm3ffZWuIyjzn5PA17tGDugrWrgUmT+YirVo1jebXXwMpKdr2jcmT+fwGDtRpzprFxXCXLjrNBQt43lBWD5cs4WKvWTOdZnQ0n2P9+jrNtWupqVr0AaxAt2mj+2wCrEAfd5y2n337di4SlMNF4uJYfVbG5oU3ECo1vUL4lixfCgoKMGPGDEydOhXLly9HQkICioqK0KhRI7Rt2xYXXHABrr32WtRRbk/2magoVu5OPplm4PXXvdd88EGanmHDuKvfK9Nz3HGsrt93H6usAwfSUI8cCZx55l/73R99xD7rmjX/+6tGjd/+/3/rq2pV704KixcDTz/NDZzHHcdK/NVXext+rzbPAN9Pe/dyiInqQjJiBC8iV12l0QPYmtKlizax4csv2VN+6KE6zVmzqKkc0rBgAdC9u/YCre5/BvzbQOhHAoey4g34l8ChrLIDPxtoJZGSwAEAcJWQTz75xDVt2tQBcDVq1HDXX3+9GzVqlBszZowbMmSIq1evngPgWrdu7VauXOnJMcTHxzsADoCLj4/3ROPP8vLLzkVFObd4sUYvFHJu6FBqjh+v0Zs1y7l27ZwDnBs82LmNG//87+ve3bn69Z2rUYO/789+RUU5V6uWcw0bOnf44c61bOncccc5d+mlf/55zpvnXK9e/P0nneTchAnOFRf/+ef6R3n7bWrecQePQ8H8+dR87TWNnnPOrVtHzfff12nGxfG98uGHOs2kJGoqn+e+fc5VqeLcu+/qNHNznate3bk339RpFhY6V7Omc6+8otMsKXGubl3nXnhBpxkKOXfIIc4984xO0zmeS4cP12q2bOncgw9qNY87zrl779VqnnQSz/FK2rd37uabtZpe+bVKWYGeNm0akpOT0aRJEyxcuBDH/yoD6u6770b37t0RGxuLvn37Ys2aNTjyyCN9Olo9Q4cyKeOGG1il8HpAQ1QUe6FzcrihrW5dbzdGRUWxVaVvX+DTT7nx65RTgH/9i33TZX2pFyz4+d/OsT+1sPCXX7/1//3e169/9ogjynY8znGYx9NPs2e1fXtWDy+4QFOVfecdtgENHcoJgIpKXm4uWze6dmXKh4qnn2Y15JprdJoffMDb7pdeqtOcPJnvnUGDdJpz53ITobL/efFiplMo+5/XruXnXFmB3raNnxllBTohgZnlyg2EaWm8I6XcQJibyzg5ZQW6uJi9wcoNhM5R048KtPLc5ynlZsWFXHbZZQ6AmzBhwu/+zKeffrp/xXGzB8udilyBds651audq1rVuREjdJolJc5ddhkrQN98o9MtKGD157DDnKtd27mHHnIuPV2nX16Uljo3ZYpznTqxKtq5s3PTpukqwM4599Zb1B46VKt7552s3m/dqtPcuJFVWWWFtLjYuSOOcO6WW3SazjnXpw+/lNxwg3N/+5tW87HHeB4oLdVpvvEG714VFOg0J0zg53TfPp3mjBnU3LFDp/njj9Rct06nuXo1NRct0mlu307NOXN0mklJ1Jw8WaeZlUXNg1g3T/DKr1XaTYRVqlTB+QcJMx00aBCq/WfXwbRp01SHVWFo1459ySNGMO5IQdWqHEvcrx+rpT/8oNGtWZOb6GJimIX96qvsJXv55coxdry0FPj8c6BDB2DwYE4Vmz2bfZXnn6/r5Xz7beC227SVZ4BV9tdfB555RjdQBGD1uUUL76cpHsg33wB79mgnD6amAvPmaYenOMf+Z2V8HcBzTvfu2o1YS5bws1uzpk4zOpqVQ2U/+9q1TPhRJlNs3MjrivK8EJQIu/DALT8yoCNhiApQSVM4HnroIcydOxcNDpLXVbt2bTT5T05KYmIiSkpKVIdXYXj8cZ7sbrqJt1IVVK8OfPEFN/adfz6wfLlGFwAaNqQp2r4duOQSZgm3aQOMH18xo+9KSrjgOOUUDu9o2pTtJAsWsD1FuQnKL/Ocn8+pk2ecAdx5p0YT4EVy4kTgoYe8b3E6kDFjaLaU2b1Tp9LQDh6s09y4kbf8lQa6oIBmtnt3nSYQnA2E69axfUN5Xtq4kcUQ5eJk61bgsMP4pWL7dl47FRNXw/iRAb1jBx8jZRNhpTTQ7dq1Q48ePf7nz2VmZgIAatasiarKPJoKQu3aHIDx44+8cKuoVYsX7VNPZTV63TqdNsCe43feYVZyp07MrD7tNGDZMu1x/C9uuw249lpWV5YsYdVZffEHOKzmtttoYJXmGQAee4xTvz78UBsZ9cwzzFv91790mrt3M6NdGV0HsH++e3dt1uusWTwPdOum01y2jL3Iyv7nlBTe+VLmP4dCwRjhDehHeANcXCurzwDfQ8ccoz0HxsZyfoQyBnHnTi4UlFnXXlIpDfQfITk5GXl5eQCAbt26ISoSQgf/BD17cnPW/ffz1rGKevVoFlq1YjV161addpgTTwQmTeLGokaN2BpRkbjrrp8n4CkvwAfy1lvM877zTm4EVUd/vfIKc8RPPFGnu307MGEC4xCVla2xY2kqr7xSp5mezkhAZfsGQAPdowcX8SoWLOBdKGXM2tKlfFRWoOPigKwsrYEuKmIroB8RdmoD7VeEnbJ9A/Avwu6oo7QtVl5SKVM4/giTJ0/e/+9bb721zP99QkLCQb+fmJhY5t/pFy++CEyfznSDr77S6R5yCNMkzj6bWbA//ujPrZszzmAPaEVDfWH4NX6a54ICtm507Mi+dSXPPMNqrLISHAoxfePSS2nyVHz9NduXLrhAp5mby17kF17QaQI00N26aat4S5cChx+u7ekMTyBUGujNm9lypqxAZ2Xxro3yPOkcK9DKdieABrpvX62mHwZ6x47Iad8AItRAO+fw/vvvA2D1efCf+DS0VDYjecyhhwJvvMGL91dfeRsx92uaNAHmzOGFrXdvVoMjYYRnZeebb/wzzwDjBmNjaQaUE8ZiY9l3PmqUdpra3Lm8YH3yiU4TYPvGWWeVPUrxr7BgASuWyv7noiJO5nzqKZ0m8HP/s/LzEx3Nza+HH67TXLuWj0oDvWkTH5VDVFJSgMxMbQW6tJQtHH+izveXiI3V3/ncuVM7PMprIqSQ/kvGjh2L6OhoNGjQAB999FFg2zcO5OKLgQEDWIXOyNBqH3kkDcTAgdpd48bv06cPJzD6YZ6XL+ddkeHD9SfTZ59l399NN2l1x4xhJU050jozk331frRvtGql7SONjuaGVGX/c2kpK9BqE+LXBsKjj9bePdm4kecmZXuXHwkcu3dzAaicQlhczKxrm0L41/DUQJeUlCAqKuovf40dO/YPa27atAl33nknqlSpggkTJuDYP/mujI+PP+jXsoq2I+1/EBXFW/Y1a/LEpOaYYxgrp6w2Gr9P9eqMb/Njbbl7N3vzhw3T6u7YAYwbR11lP3xKCjBlCltGlH/v6dN5YVbecQJ+jq9TPtcFC7jvokMHnebmzUB2trb/2blgbSBs1Ur7Wd26le9bZT9yTAwflZrx8WwrU0bY5ecDycmRE2EHRFgLR1JSEgYMGIDs7GyMGTPmoDnR/4sWLVqU45FVDFq04AQrM7GGnwwezIl4avN+6KHMRb/lFq1uTAwvjspphwD3HJxxhjYaa8cOnmNefFGnCdBAn3WW9ty2ZAnfw6efrtOMj+d0Pj8q0Nddp9XctMmfBI6jj9a2d23fzk11SmMZzoBWVqB37eJjJFWgPT3dVKtWDZvCjUx/geZ/IPMkNTUVffv2RUxMDEaPHo0blJMKKhFmno2KgB+V74YNgQcf1OuecQawYYP+Ob/9NlM4lBx9NCuz6i0kb7zBzYtK+vdnyo8yBuyQQ9hHf+aZOk3nuCFU3W51yy28U6bk/PP1lfZOnYCXXtLm0bdqxWKCcihOgwac0+D35vnyJMo55/w+iL/Kvn370KtXL6xZswZvvvkmhgwZ4rlmQkLC/o2G8fHxEVmxNgzDMAzDqMx45dcq/SbC9PR09OnTB2vWrMFrr70mMc+GYRiGYRhGcKnUBjozMxPnnHMOVq1ahZdffhlDhw79r5+ZPn06OnXqhOjoaB+O0DAMwzAMw4g0Kq2BzsrKwjnnnIMVK1bgxRdfxN133/2bP5eamoro6GhkZ2eLj9AwjMqEH81sJSV6zYICvWZOjlavpIQJGUry8zn8Q0lODuMKlWRk6KNQ09L0mnv36vcQJCcD+/ZpNffs0WsmJPA1rexUSgOdnZ2N/v37Y9myZRg0aBA6deqE+fPn/+bX5s2b/T5cI8LJzf05P1RBURHw6KM8Cal48knGEKpISeGmJWVa5NtvA+3aMd9XxSWX6NMNjjtOOyUwPZ0b7ZRTUNes4aal8NQ+BbNnc6NqcrJOc8IE4LDDmOurYvRobWYxADz3nDbtBOA5tndvreY992inhgKcDXHVVVrNG28EIiHnoVJmMlxzzTVYvHgxAGDq1KmYOnWqz0dkVCTS05m2MGKEZlrX++8D99/Plfxhh3mvN20ax1FfeaX3WgAN5ejRzI1WMXcuc2CPPFKn+cMPQN26ulHQzjEK7Z//1OgBNHe7d2vjq9av5+Pxx+s0w+FPymzdrVu5UFBOCNy+ncknyrQKP0ZA+zGAIz5enyaze7f2nBfWPOUUrWZiojZJxisqZQV6x44dfh+CUUa2bAG++06j9fDDwMSJmtvjRUUcC3355RrzDHCCYOfOujigRYtYEVZWRmbPZgVadTFxjrnJ3bpp9ADeQUhK0k6yW7WKj8qBI+vXMz5TOR550ya+dxo00Glu3coJdsq4wpgYfTU4SAZaGfMG8JygDvTaswc44gitZmIi0KyZVtMLKmUFevXq1X4fglEG9uwB+vVjhml0tLcVviVLgHffBV5/XXNS+L//40nv/vu91wJ44vnmG1aEVUyeDDRvrjN6ztFAX3qpRg+gKdizR2ugw+0pnTvrNFetYpVUOYFs3TqOY1bm3G7aBPztbzo94GcDrSQmhgNklMTFAR07ajV37mRGsxJ1Bdo5fQU6FOI1RWmgS0pYkPkD4z0qPJWyAm2UH15vnMrMBM49l20A06Z5a55LShi+f9ppwK23eqcTJhQCRo4EBg7UDRn45BMakcsv1+g5RwM9aBCnZSnYvJkXknPO0egBbN+IitKakaVLWW1SXkhWrQLat9e9lgANtPoWsR9T7LZu1bapOKevQJeUcKKcsgKdn88NfcpqcFYWv5QGet8+bvBVVqBTUnhtVhrovXv53jUDbVRaQiFg7Fjg7LOBwkJvNAoKaLzi44FZs7w/Gb3+Oi/W776r6WP9+muaPdV0O+fYvnHBBazmK1izhuOZ1e0bNWoA3bvrNH/8kSbv0EN1msuWads3ABpoZfuGc/xMKqe7FRVxnLiyAp2VxXYcZQU6OZkbmJUGOiGBhktpoOPj+ahs4QhrKg307t18VFag9+zho9JAJyby0Qy0USmJjmal7Z//5Go3L6/8NUpLubN36VJg+nTvK7Tx8cDjjwNDhmhuLzrHneHduwNdunivB9Bwbdqk3cw3eTKTBXr00GnOng107QrUqaPT/PFHrWEvLQVWrNC2b2RlcdPZaafpNHfv5l0opYHevp1/X6WB3raNj0oDHRPDR6WBjovjo9JA79zJx0g30OFUJWUF2gz0X8MMdIBIS2OLw+mnMz90/nz28JZ31c054I47gClTgM8+0+y2vfNObhgaMcJ7LQBYsICGVlV9Blh9btFCG600eTJ7D1X9q4WFfF8q2zeSkmiAlP3PGzeyeqisQK9Zw0dlBXrdOj4qDXQ4gUNpoLdu5aOyhSNsoJX97GEDrTSzO3eyvUppLOPjqak0lrt3s7VKubluzx4+z6ZNdZpJSdRUptV4hRnoAFBaCrzzDqsjn34KvPoqb+WefbY3ek8/zUzdd99lf7DXTJtGo/fqq6yWKnj+eaBtW6B/f41efj6TRa67ThezFhNDA6Rs31i8mHdElAb6p5/4qDTQS5fyYqncjLVyJVCzptZYrlsH1Kun7V/dtAlo1Aho0kSnuXUrDYGqtQrg57N5c0YvqoiLo6msVUunuXMnNZWbUOPj+bdVxgMmJNA8VxNGO+zZQ/Os1ExM5GdTqekVEfAUjIOxeDHbGlatYsvGc895u9ocM4atFE8/rQlKz81ltbtfPw6lULBqFfDtt6zeqyKrpkzhrXB1+0atWrpFAsD2jSZNONBExQ8/sIqnrDYtW8a2pnr1dJqrVrHPW2kK1q+npnLTYjiBQxkn50cCx/btFmHnFUHJgPYrwi4S2jcAq0BHLMnJNFtnnskLyeLFwIcfemuep0xhi8iQIcxiVjBiBG8JjR6tu2COHMmLiMqwA2zf6NpVOxhi8mRWgpUVrtmzgT59tIZLnf8MsAKt7H8G9BsIAf0GQiBYEXZmoL1h1y69gQ5SBrQZaKNCUlzMVoYTTmBrw7vvstp1xhne6v70E3DFFcCFFwKvvaYxs+vXAy+9xJGrqgvJ9u3AF18Aw4bpbkHt2sUhNMqJdUlJXHQp2zdSU9lmoGzfyMxkb7DSQOfm8r2r7H8uLGTftdJAl5TQzCoj7EIhJuMoDbRz/hlo5YIaYCJPEAy0H0NUglKBTkqKjCEqgBnoiGL+fO6wv+ceJmBs3QrcdJP3PbPr1wMDBjCN4pNPND26oRCzno89lmZWxahRQOPG2laK8eOB2rW1Fe+pU1kFHjBApzl3Ls1I3746zUWLqKlM4IiO5vtXWYFev56GVmmgt22jcVdWoHft4n4BpYHeu5cJJ0oDnZnJBaeyAl1QQMOlNNAlJazMKg20c/60cPhVgVab9kiqQFsPdASQkEATOXEiTeyKFbqoql272CN79NG85V+zpkZ37FhWvb//XqeZmMhWiieeoKFV4Byf6yWXcIKcismTaSpV48kB/fhugO0bTZtqK3nLljGiTzV8B2D7RpUq3PiqYv16PgYlgSPSI+zCcXJKA71nDzfBKw10WhoXC0oDnZsLZGRoz30lJWz1VFagnYssA20V6EpMYSH7cU88EZg3Dxg3jqZSZZ7T0rh5r3p1jpdWJWCkpnLBcM01QM+eGk2ArSk1a2qmHIb56SdeLJUV78xMLkwuvFCn6RwwZ462+gxwA2G3btoNZ0uXMn1DuQt91SqgTRttP/u6dbxV27ixTnPTJi5OlLfft27l+0dpZoOSZlFiAQAAPPVJREFUAb1rFx+Vr6efQ1SUFejkZJ53lQY6PZ2DjsxAG77y7besJj3yCNs0tmwBrr1Wt/kqL4/5wGlprBwqPxD3389b4KNG6TQzMxnNd+ut2qiqjz7iBUvZYjBjBnvpBw/WaW7ZwguXsv+5oABYvly/gdCPCYQrV/qzgdCPEd5t2mg3oW7dygqpMtotJobnoUaNdJpxcWzPU1ZJgzJEJShTCJOS+Gg90IYvxMVxY1f//vywrVkDvPyyrvoL0FxdeikvkDNnaocH/PADTeXIkdog9rffpuG66y6dZk4O8PnnrD4rDcHkyRy2o6yG+DG+e9kyVkOUBjopiVU1Zf9zaSmwdq0lcHiFnwkcyjsncXGsBCvvnOzcyUWCMu4xPp53VZXDRcJTCJUGOmzabQrhn8cMdCViyRLgpJNYNfvsM266UvZRArzlc/PNrIB/9RXQqZNOu6iIMXlnnKHJmA6Tn89kk+uv137wv/ySvXHXXafTzM/nokiZvgH8PL5b2WLw44+cXqnsC162jI/KCvTWrbxjpDTQublAbKzWQDsXHANtGdDeER9PI6ssWuzezYnAderoNPfs4WJI2WJlBtrwjY4dmXu8eTMrwMrqQ5hHHmEFeOxY7e12gJF1W7dyqqLy5DZuHJCSok37APh37tVLewGZM4dmS2mgi4qYIKPuf/7xR+Css3STHQH2Pzdtqr09vGoVH5UGeuNGGlqlgU5JAfbt0xro0lJWgy0D2huCMkQlIcGfCLvmzbXX0sREFi2UCwUvMQNdiaheHbjvPu3trAN5/XVOMnzpJcbkKYmNBZ56ii0Uyil1JSXAiy8CF1+sTWqIiWG7ijL7GWD7xokn8kvF4sWsWCoXZCUlwMKF/vU/Kxe/q1bx1ruyX3bdOj7Hk07SafqRwBEfz83cSgNdWEjDpc6ADpKB9iMDOghDVCIpAxowA238QXJygBdeoIG/5x6ttnPA7bdzxPMTT2i1v/yS5v2BB7S648Zxpa5Mwigp4fAdP9o3GjcG2rfXaa5Zw/e00kCHQmy/8mMCoSqZJ8y6dayQKitNmzbxboLSWPoRYRcXx3OisgKdlcXqvtJAO2cVaC+xKYR/HTPQxh+iXj0OgBg5Uq89fz5j8t54Q1t9dw54/nlWRpUGJBSigb7sMq0B+fFHpqqoDXQ4vk49vrtmTW6WVLF1K9NclP3Pzvkzwnv9en82EB53HDejqti6lXrKiuX27XyM9Ai71FTuyVAa6FCI1WC1gQ5KBdoMtBFYmjbVmpwwPXpww+SgQVrdlBTehn7wQa3u4sVMalBmPwNs32jRQrsxNC2Ng3/86H/u3Fk3hAf4eQOh8u+7axcrh0GJsPNjA+Fxx2n76GNi+L5Vmh8/DLQfEXbJyUyZUhro4mK2NlgFuvJhkwiNCk9UFDfTqTn8cObnqjnrLLYYqCt4t94KnHeetj83KopV/v79dZoABwApEz8AXqxuv12bI15UxA3HHTtqNXv10veXn3SSfjPfkUfyM6PkkEOY0a4sZtSowddTGe0WCnGybqtWOs28PODMM7XV/exsairjYEtL9XtdAP5dlfsivCbKOef8PojKSEJCAlr+Z5kaHx+PFur7L4ZhGIZhGMZB8cqvWQuHYRiGYRiGYZQBM9CGYRiGYRiGUQbMQBuGYRiGYRhGGTADHQDefPPnIQMK1qzhxMKcHJ3m6NHAK6/o9ADg3/8GJk3S6eXnA717c6S7ig0buCFsxw6d5rffAj17criKirFjubFQuSNk1ChGFSp55BG+b5XccQdw551azX/+U5+ec9llwPDhWs2BA4Fnn9VqnnMOh0sp6dEDeO01reZZZ/G6oqRzZ07aVdKxI/Dee1rN9u2B99/XanqBGegIJzGRF7AVK3SaU6fyxFO7tk5z7FhtYkZuLjX37dNprl8PfP89UE2YnbN6NTBvHnDooTrNlSu5CFNmYEdHc5iBMoFkxQrGZilZsQJIT9drZmXpNZULsLBmfr5WMzqakwmVrFzJ6LVI1gznp5eUaDVXr2ZChopQiOdatea6dXys7JiBjnCmT2fckTJq6bvvWEFUZaPm5vJkd9ZZGj2AeqGQdhDH6tX8m558sk5zwwZmojZsqNPctInxSkozu22bNkYK4ITL1q21mjt2aGPBAGZRq0cjq6fJOcdhGMos39JSLsCUWb5FRcxuV2b55ucz6k0ZoZebS93DD9dpZmVxkdCkiU4zM5Pvo8aNdZoZGbx2KjW9wgx0hPP110DXrsBhh2n0cnPZYtC7t0YPAJYu5Umga1ed5vLlQK1aWjO7ejXQpo22sr9+vfY5AsDmzfp8Uj8MdEyMNm82FOJwCqWBLiriXTClgc7OpjFQJovu28dKsNJAp6TwvKc0s+E7Js2aBUNTadr37uWj0kCnpvqnqfIkXmIGOoLJy2M1eOBAneaPP3IVrTTQCxdyuIAyoH35ck53q15dp7l6NXvHlKxfr50o55zeQBcVsTKrNNAZGTRdygp0UhJNnnKaXEICX1PlNLmEBD4qK9C7d/NRadr37OGjsgKdlMRHpWkPa/phZpUV6JQU/zSV1eC0NL2mV5iBjmC++w4oKAAGDNBpzp3LE7rSAC1cyIlVyslcy5dr2zfCvWpKA52byxG+SgOdmMgKovL9ExvLv69yil1sLB+VFejwRlBlBTo8jllZgY6P56PSzIYNtLIC7YeBTkzkY1CqwX6YWatAVx7MQEcwX3/NW/5KY/Ddd6w+q/pXS0uBxYu1/c/p6cD27VoDHRNDQ6s00Bs38lHZwrF5Mx//9jed5rZtfFRWoGNi+BjpBnrXLj4qq8HhzaBKM7t7NzWVxjIxkUUDpclLSqKm0nAlJ1NTWbHcu5evp9LkpaT4owkAjRrpNM1AGxWeUIgbCJXtG6mpbDNQtm+sX8/NF8r+53CiidJAr1nDx3btdJrr1/OErjSzmzaxLUbZZrBtGxM/lJW82FigQQPthSsujhet+vV1mrt20eAp+/bj41mtrFFDp7l7NzWVLV179vBvq0zlSUykpmqDOEAD3aSJXrNxY63m3r38fCo1U1OZsKR836alcVO6UtMrzEBHKMuX8ySgNNDz5vFR3f9crZrWzC5fTvOjrFiuXk2Dp6w2rV/PHt26dXWamzfz76o0Bdu2Accdp039CG8gVGr6kcCxc6c+gSMhQdu+EdZUVrwBGmjlog9gBVpZZQ9rKts3AJpZtWZKirayH9ZU9yKnpkZG9RkwAx2xfP0136Rduug0585ly4jy4rVwIXDaadrM4BUrgE6dtD3Xfmwg3LBB2/8MBCuBIygRdsoNhIA+wg7QR9gBrAb7YaCVGwgBFoL8MNDKYgXgj4FOTdVrpqVFxgZCwAx0xPL118A//qG9HRTuf1aycKG2fQPQbyAE/EvgCEKE3dat/mRAK/ufAbZwKFtjAH8q0EEx0H5UoBMT9RXo5GR/NNUG2g/TnprqTwXaDLRRYYmLo/lRtm/s3MmqmtJAJyRQV7mBMCmJup066TRTUniBVvY/p6dTU1mBzs7m31ZpoPPzabiUG22LiliZVRro0lJqKivQzvlTgfajhcMvA62uBvtRgfarhSMIFWi/qt7WwmFUWKZN4waac87Rac6dy37Onj11mgsX8lFpoJcv56MfGwiVFegNG/ioNNBbt/JRuWkxnIahrEDv2sVNvsoWjsRE5rMrDXRqKmM0lRXorCx+KSvQBQW8La007X5MIXTOvwq09UB7gx/VYGvhMCo0X39NI6vcbT93LtCxI3f0qli4kFU85Ylu+XKe5JSmYPVqbuRTViw3bGD7j7Iyu2kTH9u00WkGJcIuLo6PyhYOPzOglQY6nMesrEDv3ctFmNJAZ2Tw7kmkj/EuKaHJU1agneNrapsIKxdmoCOMjAxgwQJt+4ZzNNBB6n9WpiesXg20bavtZ1+/nua5Zk2d5ubNNCHKhd+2bdRTXixjYpgyojR54QxoZTtFOAPajymEQRmiojSzfg5RUWqmpvKapjwnZGXxDpFSs7CQixOlaQ+FrAJtVGBmzeIKWjl9cMMGnuj69NFpZmfTWCrbN5wL1gbCICRwhDcQKhdEsbE0lcqovh07eKFURhLu3Mn8Z2W1KT6er6WyMuuHgQ6bWT/GeCvNbNDGeCvNrB8jtTMzaaLNQBsVkmnTgA4dtNWtuXNZqVSa2aVL+UFUau7YwZOO0kDn59NYWgKHN/gVYReEBI7wBkLl4iQ+nlVZ5ZCG3buBevWYDa9izx5/phACwRnj7Yem0kD7OTrcWjiMCkdxMTBzprb6DDC+7swztdPGFi7kFDel4fJjA+GGDdwwpDTQe/fyRKesQJeU0MwqNxAC1FT2eQOsQAclAzoIQ1T8SuBo1kzb1pWYyIVCvXo6Tb/GeAP+VKCVmmEzq/zb+lH19hIz0BHETz+xB1rZ/1xSwp5rP/qfzzxTO8xk+XIaAuVJbvVqPkelmV2/no9Kzbg4blBSLohycmgKlBVo54JTgbYMaO9ITAxOhJ0fY7zr1NG2O6Wk8E6NsjLrZwXaDLRR4Zg2jT1xp52m01y+nP3Iyv7nkhJg8WJt+wbgT//zmjWskConLa5fzxhEpcnbvJmPSgO9fTsflQZ6714gN1f7ty0pobG0KYTeYENUvCNIUwgbNdIuFFJTeZ5X3lEIG+hGjXSaXmIGOkJwjvF1Awdqew7nzmXvX8eOOs1161g9VCZwlJYC0dHB2EC4YQNbKZSb3DZv5olcaQr8iLCLjeWjsoVj926+f5UGOi+PpkBZgXaOBlrdwuFH24gfBjopyQx0JGmGc6eVfiEtjX6hRg2dppeYgY4QNm3irWE/+p979NCarYUL+QFUTgPcsoWmXWmgQyFWoIOUwKE8mW/dytxy5W3TcAa00kD7kQEdzmNWVqAzM1ndV1agQyGa2aBUoNUtHH6N8bYhKt5pRsoGQsAMdMTw9de8zd+rl04zL4+tFH70P3fsCNSqpdMMbyBUVtrj4tgeozTQzvlnoIOygbBJE23WdTgDWlkNDmdAR/oQldRUbt5WGuiSElYs/ehHVptZG+PtHampwTDtXmIGOkJo1gy4/XatqUxMZL+1sv8Z4AVEuVAA+MHv0AFo2FCnuXMnF0VKA52Swtv96gi73bv1EXYJCfoIu1279BsI4+N5flCm5ITzmJXG0o8hKkGZQlhYCOzb508FOggG2i/TbmO8/xpRzjnn90FURhISEtDyP6WO+Ph4tFA3wRlynNO2GAA0s8qNJQAvzqGQti3HOVbylL1xzgEFBVpj6RzbDJQbd5zjpDPl4s85JgIdeqhes2FDXTqPc2wdqVtXlz0dfj1r1tQVTMKa1app0ymysnjOVd6xycri81V+XrKzWRhSfl6ys3nOVW7oy8nhOVdtor3ya8JLpGFUbtTmGdCbZ4DmQxkPCPBvq95YEhWlNc9hTaV5DmsqzUBYU2kG/NQ85BC9ph+vp1oT0A6n8VNTuUDwU1OdI+411sJhGIZhGIZhGGXADLRhGIZhGIZhlAEz0BHMt98C772n1fz8c+Djj7Wa778PfPGFVvO115h8ouS554BZs7Saw4cD33+v1XzwQeCHH7Sa997LRBkVzgF33AEsW6bTDIWAIUOAFSt0msXFwG23AatW6TQLCoBbb2WGuoq8PGquXavTzMmhZnhyqILsbL1mVhY1N2zQat5yi1YzM9MfzZtv1r+eak2vMAMdwUycCHzwgVbzo4+ASZO0mu+8A8yerdV8/XWOTlfy8ssc5qLCOeDFFzm4RkVJCTXDkwkV5OfzbxueTKggMxN4882fI+YUpKUBb731c9ybgtRU4O23f06rULB3L88JiYk6zZQUaiYn6zTDz1OpmZxMzb17dZrh5xkePa3SfPfdyNdMSWGRLdI1vcIMdASzeTPQpo1Wc9s24LjjtJqxsdohEaWljCNTT3ZLTdXm6qan01wqA2aSk1kpVcaChY2WMqIrKYmPylzdsNFSxoKFjZYyoit8YVZm3IY1lekCaWl8VA6m8ENz3z4+KtMi/NBMT+ejclNqRgYflZtvw5rqzbdeYAY6QnGO0/OU2brFxayoKbN1MzJ44lFOdktMZKVUOWUtnHGrHBLhR67u7t189MNAK3N1wwZaadr9NNB+mFmlaU9N5aPSQPuhGTaWkW6gw2bWD2MZ6WY2rOlHqkt5YwY6QklN5UlAWYHeuZPVWWUFOjymWGmgw7fdlRVoPya7+TmYQmlmrQLtHX4aaKWmH2bWzwp0pFeDw5pKM+uHafez6m0VaKPCsmULH5UGets2PioNdGwsH/0w0MoK9K5d+slu8fHMoVaavN27OZBCaUQSEzmUQnlCT0rilEllJmpysl5z714O3lAO30hJoZ4y4zs1Va+ZlsbXU61ZqxZ1Vezbx8+n8nmmp/M8pHzfpqfzfKvMZ87I4HVFmX2dmclHP/K2yxsz0BHKli38YCjN7PbtPNEp2wxiY3nCUVZhdu6kwVMakV27aGRr1tRpJiSwKqsc5rJ7NzWVg1z27KGmclBOUhJfT6VmUMYip6Roq88ADbR6ulpqqva8B9DM+qHZqJH2s5KezkqwWvOQQ7Sa6smdYc169bSTbr3CDHSEsnkzWwxUo14BGujWrbUfxthYaipPOjt2aKvPAA20sn0DoIFWT6jfs0dbZQdYgVa2jAA/G2glZqC91VQb6LQ0vZlNS9O2UgA/G2i1pnqqZUaGvq0hKJpeYQY6QtmyJTgJHMr2DYAGWtn/DLCdQlnZB2ig1Zq7d/tjoJX9z4AZaC8JUgU6CKbdDwOdnu6Pptq0h6veSjIzzUAbFRw/DPT27doEDsAfA71zp95AB6UCvXu3vhocbuFQYgbaO4JioP0ys0Ew0H5UoP0w0BkZwai0e4UZ6AikuJjGUhlhV1LCRAxlBbq0lGZWaaBDIWoqWzic0xto51j1DkoLhxlobwiSgVZrWguHd/hVDQ6CmQ33XUcCZqAjkNhYGlp1hF1JidZA797NxYJyiEpSElBUpK1Ap6ZyPLHSQGdlAbm5WgOdm8vbe0oDXVhIU6CsepeW0uQpDbRzNLNmoL3TtBYOb7AWDu+wHui/hhnoCCQ8BllpoMNjkIMSYRfpGdDhcc+RngHtx0CTlBTeyVAa6PR0LjaVBjo3lxM0lQa6qIiLMKWBDoVoLJVm1jlr4fBa09opvMF6oI0KzZYtjIlRmoLt25mbqTR5sbFM31C2U+zcyUelZtjM2hTC8seGqHiHH2O8wwNNlAY6I4MmWmmg8/J4V0qpWVzMO1NKM+tcsFo41MYyKFVvrzADHYGENxAqo922bWMlWJkZHBtLs6WM6tuxgyccZQj8rl3Mf1aagoQEvn+UxjJsoP2YQuhH1TvSDbQfI7VtCqF3hKfWKTWzs9nypDTQhYVcoCg1Q6HgVKCtB9qo0PiVwGERdt4Q3kCoXBCFh6hUr67T3LOHCxPlgJo9e/gclaYgbKCVxjIoFeigGOiwph9jvJWafozx9mOkdlYWq+1KzYICfikNdCjE52oVaKPCsmWLNoED8CfCLi7OIuy8wq8IOz8SONQTAZOSaAiUUyWTk6mnvHMSNtBKY+mHgfZDM2xm/ah6K82snwZaqZmRwUelgQ6P1Faa2exsLhTMQBsVkrQ0VieUFejSUlaDg1KBVk8hjI83A+0VQYuwUy4U9u5ltVI5sjclhQsF5V2McDVYabj8rAZHegU6rKk0s35Uvf3QDC8UrIXDqJBs2cJHpYHetYsbTJQGOieHF2ilgXbOvwq0H1MI/ciA9mOIio3x9gY/I+yUC4XUVJoQ5UIhNZWtR8qFQtAq0H6YWWVlNmxmI13TS8xARxhhA61spwhH2Ck14+L4qMyATk5mz5jSQBcVsUqqrkD7MUTFKtDe4ZeB9iOPOShTCBs31i4U0tKA+vW1+yL27ePG9Pr1tZpAcKrBZqD/PGagI4wtW2i26tTRaW7fzuqLOsIO0Fag/Yiw272blW/1EJWsLK2Bds6mEHpJ0CrQSvww0KmpwcqAVi4U0tOB2rW16U5hA61sbfDDzPrRd+0lZqAjDD8SOLZtYyVYeQszNpYnOaUpCMoQlXCcnNJAp6ayDUjZTlFcTMNlBtobgmKg/ZhCqB7cEtYMyuhwP+LkGjbUxsCmp/OaXbeuTtN6oI0KzebNwUjgCG8gVFYmduzgB1+5evZziIpS048hKsnJrHwrTXt+Pqsw6jHeZqC9IzVVrxkkM2tjvL0hnAGtvIZmZLCyr0wg8hIz0BFESQkQExOMDOggRdgddpi2JSdsoJXGMjzG26YQlj9ZWRwOoTTQoRDNrB8GWq1pLRzeagbBzAZlImAkjfEGAOFNd0PBrFn6avA77+hPco8/zou0kptvBi68UKt54YXAKadoNXv0AD79FKhRQ6fZrh0wfrzW5LVqBXz8sXbx16gR8MknfL4qatQAJkwAzjxTpxkKAePGAaefrtMEgDff1H9eRo7UL6yfeEJv2u+/n21zSoYO5R0UJTfeCOTmajWvvhro31+refHFQOfOWs3zz9f7Ey+Jck799owMEhIS0PI/97jj4+PRQh1ZYBiGYRiGYRwUr/yatXAYhmEYhmEYRhkwA20YhmEYhmEYZcAMdISSkwN8883PuYsKsrKomZWl00xPB2bO5PNVsW+fXjM1lZrK3ryUFGDGDCAvT6e5d69eMzkZmD6dCRmRrjltWjA0v/46GJpTp+o/K2rNvXv90ZwyRX++nTJFf12ZPFmrmZZGzexsnaZXmIGOUDZvBs47j6kcKtavp2Y4u1jBmjXAP/7xc6KCgpUrqZmSotOMjqZmeJyuguXLuekjHPKvYOlSaioXfkuXAgMGaBd+S5ZQU3kRWbIEGDjQH03lBXrpUmDQIO3zDGsq30PLlgGDB2s1V6ygZjjPV6mpPA+tWgVccMHPUwkVrF5NTeU5fs0ablTfu1enuW4dNcOJRJUZM9ARSthQKuOykpP1muEPvjK6yg/NsFlX5s2mpvJRGV0Vvnj4oRnpo3v9GFHs57hg5bCG8ILPNMuf8ALBD80GDfSayrHl4UVmpGt6hRnoCCUpiQHpSpOXlMTJRspIu+RkhrIrT3QpKYxzUk5wSkmhnjJGKjUVqFdPO9I2LY2aygi9fft4Mldr1qsHVK+u00xP53so0jUzMvg5UQ5ryMignvKzkpnJv6tSMyuL0/KUufRZWbyWKc+3YTNbr55OMyhmNnw3ygy0UWFJTKR5Vo7XTkqiZhXhuyo5mZrKaUp+TFjzY9qZXwMi/BhRHJQJa34MiFAPTvBjQIRfQykaNtSe+zIzWaxQamZl+aNZt652tHZWFhdDysVmdjY9gnKxmZ3N11K5CPOKiDPQM2fORFRUFKKiotCjRw+/D8c3EhO1E9YAmlll+wZAM6seUezHuOCUlOCYWZuw5g1+jCjOyAjOhDVli0HQNJV3GIGfTbuS7Gz/NJWLk+xsVvaVml4RUQY6JycHt956q9+HUSHww0AnJekNdLgCrcSPCrQfpj1IBtoq0JGjGbQKtJKsLH80g2Cgs7L0bQ3Z2cHQ9IqIMtAPPfQQdikjICowfhlodTXYjwp0kAy02sz6YaD9aOEIipn1o4XDD02rBnuHH6bdr2qw2lgGxbR7RcQY6CVLluCtt97CwIED/T6UCkFSUjBaOPyoQAelGhykCnRQqt5+VIOtAu0NQTHtQalAB8W05+SYga5QFBUV4YYbbkDdunUxevRovw/Hd5zTt1P4oQlYBdpL0tKCYaBtE6G3mkExs348T2vh8E7TqsHeaSrTTbwkIgz0c889hw0bNuC5555DixYt/D4c39m3Dygq0lags7KAggKtmc3N5ZdSs7CQz1VpZktK+JoqNUMhvYF2zirQXuJXP3JQKtBBqAb70cJhmwi91QyCafeKSm+gN23ahGeffRZdunSxDYT/ITxERWmggzJEJTzQRKkZHvShNNCZmUBpqdZA5+Zy4ac0s4WF1FWa2dJS/n2Vms75k8IRlAp0UKretnHRW80gmFkz0BUE5xxuuOEGOOcwZswYVFEGEFdg/DDQ4bGcfkw+VFag/TDt4YmASjPrh2Z4oaDUDE/nU5r2zEwaWmVlNjeXdzKUmkVFQF6eVjMU0htL56wf2TT/OlaBrnxUasc5evRoLFq0CA8++CBOPvlkvw+nwhA2s34YaKWZDRvoSB+p7ecYbz9Mu9LMhg20sjLrh6Yfo8PDI7WVmtnZNLRKA11QwMWCUrO0lJuxlAbar4VCUMxsUCrQkbSJUDinrnxJSEjAww8/jDZt2uCRRx7x5PcfjMRwmbcCkpjIk7lyxGt4pLby5Lp3L8PYlSYvXIE2A13+hCvQSgMd1jQD7Z2m0liGTbtSMzOTj8pzX3jUtFIzP593MZSaJSW8e6I0s875Z2aDUoGOlE2EldZA33rrrcjJycF7772Hmh7MoWzZsmW5/04ViYn6NIxwAodyulByMg2ectxqSgo//LVr6zRTUzluVXnhChtopcnzw0D70cLhZ9U70ivQfmoGxbQrTV52tl6zoIDGXalZWsqFQhAq0NbC8QcpKSnZP1b7r3yNHTv2F7934sSJmD59Om688UZ0797dy6dQKbEhKt5q+hFh17ixdnGSmsoLSI0aOs20NKB6dW11wg9j6Wc12CrQ5U/YzEa6gQ5Kpd2PhUJOjl6zsBAoLtZqhkLWwuEr+/btw5133olmzZph5MiRnunEx8cf9PuJiYno3LmzZ/p/hcREQJ3m59cQlaAY6CBlQCsXCmlpvDhXE54J9+3jQqFuXZ2mH2bWz75rP0y7mVnvNJUmz09NpbEMV/eVmrm5ek0v8fSyUa1aNWzatOkv/57mB5RT77vvPuzduxfvvPMOSkpKkBq+1/wbFBcX/+L7derUQZ06df6QZmXOk05KAk4/Xa/ZsaNWc+9efaXdDzMblMmHfmVA+zVERblQSE/nRat6dZ1mRgbbq5QLBT/NbFAq0EExs5HequKHaQ9X2s1A/0FOPPHEcv1933//PQDglltuwS233HLQn120aBGaHOA8hg8fjieeeKJcj6ci4kcLhx/V4ORkoH17rebevcCpp2o1bYy3t5o2hdBbTeVCISMDqFNH23qUkcHnqGw9CkrV2w/T7kdlNigV6LCmbSL0iQkTJiA/P/+gP9O3b18AQNu2bfHSSy/t//9bt27t6bFVBHJz+SZVGuhQyL8WjiC0U6SkAOW8Dv2fpKYCxx6r1fSjbcSPKYR+DTQJykRAv6YQKscQZGbyboIyacnPanCkt434UYH200BbBdonzjrrrD/8s4ceeij69Onj4dFUPPwYopKezs0ISgNdXEzzYz3Q3pCaCvz973rNo47SavrxHtq3z79qcKRr+jUR0I8hKoccoq3uZ2ayuq/cL5CVxeeobAOyHujI0vSSSj1IxfhvwgY60icC+jFSOy+PFX6lpnPWwhFpmn71XZuBjhzNoE0+VC4UsrK4SFBW94NiZs1AGxUaP6cQKk17eKCJH6ZdWQ3OymK1XalZWupPa0OQzKy1cESOZtDMrJLMTP/GeCtNe3Y2Dbtyk68f/ci2ibACkpycjDlz5vzm///JJ5/s/99XX3218rB8oWlT4MortSfXhg2Byy7TGuhatYDLLweU826qVAGuuAI45hidZkkJNU84QadZWEjNk07SaToHDBwItG2r0wSAfv2A007TavbqBagTMLt31/fRd+mi3xdx+unaDYQA0KGD/m/btq2+reukk7SmEuB5b+BArWbr1sAFF2g1jz4auOQSrWaLFtRUDiJr1gwYPJitQJFAlHPO+X0Qf5X58+ejZ8+e//PnyvOpJiQk7J9WGB8fX6lj7wzDMAzDMCIRr/xaRFSge/ToUa7m2DAMwzAMwzB+D+uBNgzDMAzDMIwyYAY6Qikq4mYw04wMzcJCf55nSYlpRpJmcbFpeqVZVBQMzcJC7lmIZM3iYn80CwpMszJhBjpCefZZoFUrvebRR+s11dnBzz2n13z+eX80lZs0AeCFF4Ajj9RqjhoFHHGEVvPll/Ub7F59VZ95/frr+jjE0aP1iSNvv61P/xgzRp9m8OGH2kxmABg3jpvGlYbrk0+oqSxafPopULu2dvH3xRfU/B+z6cqVr76iZjgFpDJjBjpCSU/Xn9D90AxKVFZ42pkSv6KyghDP5Zem2nBlZwdDMyfHH031SOSwpjKNIyeHpl056TE3F6hZUzs0JjeXesoUmdxcPiozr/Py+BgJSRxmoCOUoAxOCEq+bVCyZv3IffUrazYIxtLMrGn+VXJz9VXvsGlXkpurN5V5edRUL05q1NAuTrzCDHSEkp5uwxoiSTM8uletaRVob8jODo6mH6Y9CMYySGY2CM8zKJph0x4JmIGOUIJSgc7I8EdTbfKC0sLhVzU4CKY9KFVvPyrQfj1PM+3eaQblearNrB/P0yvMQEcoQalAB6XvOigtHGZmvSMoLRxmZk3zrxKUarBVoP8aZqAjFL8q0EEws9bC4a1mEDb0Bamdwlo4IkszCCYvKJp5ecF4nl5hBjoCcS44FWg/Wjj8MLN+tXBYO0XkaAbFtFsLh3f41dpgC4XI0bQKtFGhyc1llqTSWBYU8EupWVLCC5fSzIZCegPtXHDaKYJSgfajhSNIbSNBqQYHRTMIxtJ6oCsfZqAjkPR0Pior0GFNpYHOzOSj0szm5NBEKzULCrggUmoWF7NSoDTQzgWnAh2UanBQNP0ylkF4nkGpegfFtFsF2qjQ7NvHR6WZzcgIlqbSzIY1lcYyK0uvmZNDE600loWFHBWs1Cwt5XNVajoXHNPuVwtHEKrBQcpkDoKm9UD/NcxARyBBqUCHNSPdzIYr7ZGuGTbtSpPnh2ZODh+VJq+ggC1PSs2SEo4IVmqGFwpWDY4cTeuB9lbTr+EtkYAZ6AjEjwq0Hwbaz2qwUtOPVhUz7d6Rne2fptLkhRcKSvNTWMgKv/J5lpZyoaB8ns4Fx0AHycyaZuXCDHQE4kdl1k8DHemm3cysaf5VgmLa/dDMzeWj0lgWFbHCr9QMhfy75R+EVpWgaFoF2qjQ7NtH41O1qk4zPR2oWROoXVurGRWlNQV+GMugtI340XcdFAMd1ox0MxvWVBquoFT38/L0mkVF3NCsNHnOBce0+2FmrQJtVGj27QtOBnSDBkAV4bs4IwOoVYtfKjIzuVBQXqD9rHqbmS1/glIN9qO/3A8zGxRNP6r7BQU00UqTV1rK9iOrQFcuzEBHIEEZqe2XafdjIqB6oZCZCdSowbsKKvwwlkFrp7AWjvInKGbWT02lyfNDM7xQUGqG24DU1X0/2oC8wgx0BBKkCnQQJgL68Tz9GqJSr5629SgrC6hWTXtHwSrQ3mtaC0f544fJ86MC7cfzDLfHRLppD1f3rQJtVFj8qkAHxUD7UYH2w8wGYfJheIhKVJRWs3ZtGnelZlSU9mJpLRymWV6aZtrLn7BpV5pZP56nl5iBjkCCUoEOimkPioEOyhhvvwaa1KunXShkZ3ORoGwD8qMCHTQzG+k90H5W2iNd0w/T7iVmoCMQv4xlEMxsUDSDVoGOdE0/pxCqTXutWtrqfti0K01B0Fo4TNM0KyJmoCOQoFSg/TDtmZnBMLNBqUD7VfVWT63zQzMoY7zDw0WUm3xzcrhXQFndD0rVOyibCMOayoWfVaCNCk1pKU1BENop/Ej+CEo1OEgVaLWmn9XgIGgGZTqfuiUnJweoXp3pPCqCUiW1jYuVEzPQEUZ2Ng3BYYfpNEtKeMtUXfUGgqHpXHA01YuwUMgfTfXfNiiapaV6zZIS0/SK4mIuNpXJPCUlrOwrq6TFxdRUx9j5oVmrVuRUoKOcc87vg6iMJCQkoGXLlgCA+Ph4tGjRwucjMgzDMAzDMA7EK79mFWjDMAzDMAzDKANmoA3DMAzDMAyjDJiBNgzDMAzDMIwyYAY6QnnoIeCxx7Sajz4KPPywVvOxx4AHH9RqDh8ODBum1XzqKeDee7WaTz8N3H23VvO554ChQ7WaL7wADBmi1Rw1CrjlFq3mK68AN96o1Xz9deBf/9Jqjh4NXHedVvOdd4Crr9ZqjhkDXH65VvOjj4BLLtFqjh8PXHihVnPCBGDQIK3mxInAP/6h1fzyS6B/f63m5MlA795aTa8Qxs0bSpYv1yZxAMCKFfo4p+hobRYqAKxapdULaxYVaTVXr/55SISKNWuA1FSt5tq1QEKCVnPdOiAmRqu5YQOwfr1Wc+NG/n3VmmvWaDU3b+bnRcmWLfpz0datwMqVWs1t23ieV7J9O6+hSmJigGXLtJpxccDSpVrNHTv0ml5hFegIJUgZrH4NToh0zdxcf56nOiM0N9c0vSIvTx9ZZZqRpZmfD9SurdcMyvMMgqZXmIGOUGxwgrea6ufpl5kNgmn3y1j6YaDVpsBMe2Rp+mF+gvI8g6RZq5ZW0yvMQEcoQTHQVoH2jqBUSYNS9fbDtPtlLIPwPP2okpqZNc2/SkGBVaCNCk5QzGyQRvf6YSyD8DyDslAIimZQqsFBMe1+Vb2tbSRyNL3CDHQE4hyNZYMGWt2gmPagVKD9MrNBqbT70U4RBJMXJM0gGEureptmRcUMdASSlweEQlpjWVwMFBZqzU8opDdczgXHQAfJzAZB06++6yAsToJk2oNiZoPyPNX9yNYDbVRowtFjSgPth2Zurl6zqAgoKdEay9JSnnT8WChYP7Jp/hWCYvKCommbCE3zr2I90EaFJigGOieHj0pj6edCQfk8CwpY4VcvFNR3MZwLTjU4KCYvKH9b20ToHX71QJtm5cIMdATip5k10x4Zmn6Y9rCm0vwUFnKhoNQsLeUCRanp10LBqt6mWRk1g2Isg6LpFWagIxCrQJtmeWkqzY8fmn6Y9rw8vWZREY270oiEQsGpkgZlE2FQDFdQNP1op7AeaKNC46eB9qOdItLNrJ/V4EjX9NO0Kw2XH6Y9P1+vWVzML+Xf1rlgmfagVIOD8jyDYNq9wgx0BBI2lsoYu6C0jVg12Dv8qAYHpVXFz0q7HwsFpWZhIU20UjO8X8D6rr3TDIKZDYqmV5iBjkCys4EqVbQnnaBUvYPWwhHpC4WgmFk/q96RXmn343kWFOg1w9V9pflxLjgmzzQrH2agI5CsLBqfqCidZk4OUKMGv5SagPZiGZRe76C0cASlB9oPTat6e6+pNCLhlhzl8ywqYi+9uiXHr97goGhaD7RRYfFjIqBfmnXrstquIicHqFYt8hcKVg02zb9K0MxspGuGDbQfpl2p6Ud1v7SUi4UgGGjrgTYqNH6ZWT+m8/k1xltd3a9Vi8ZdqRkVpT3RmWn3Dj8MV1Cep2l6hx8G2o/qvh+mvaSEX0FoyfEKM9ARSJAq0EEYqe3XGO86dbTV/dxcfXU/KP3IZmZN0zT/GEGptPuhWVzMlhwz0EaFJSgG2s8KtGmWP+GhG8rqfm4uDbuyuu+ngY500x6UhYIf/chBMXlB01T2I/uh6SVmoCOQoJjZoFSgc3ODoZmTo59a54dmbi4vlMrqfl4eFybKC1fQKpaRvokwaK9nUAy0H60qVoE2KizZ2doM6LBmUEy7H88zKMbSr6q3krw8/0ZqK6v7eXlA1apA9epaTcCMpRcEpeptpj2yNL3EDHQEkpVl1WDTrHyafpjZIGmqh1H4ZdqrVzfT7qVmpD/PoBjLoGh6iRnoCCQoPdB+VYPNzHqDX1XvIGj6UfUOyqjpvDygZk1W25WagJlZ0/zz+NFOEWk90FHOOef3QVRGEhIS0LJlSwBAfHw8WrRo4fMR/czy5cBhhwGtW+s0V66kmT3+eJ3mmjX8ILZpo9Ncu5Ybzk46Sae5YQN3Lp96qk5z40bumG7XTqe5ZQsv0h066DS3bQMyM4FOnXSasbFAairQubNOMy4OSE4GzjhDp7lrF5CQAJx5pk4zIQHYsQPo2lWnuWcPsH070L27TjMpCdi8GejRQ6e5dy/PRT166O4qpKYC69YB3brpNvru28fz/Jln6hKBMjKA1av5+VSZy8xMYNUqnodUi6LsbCA6GujYUVv88sqvmYH+k1RkA20YhmEYhmF459eshcMwDMMwDMMwyoAZaMMwDMMwDMMoA2agDcMwDMMwDKMMmIE2DMMwDMMwjDJgBtowDMMwDMMwyoAZaMMwDMMwDMMoA2agDcMwDMMwDKMMmIE2DMMwDMMwjDJgBtowDMMwDMMwyoAZaMMwDMMwDMMoA2agDcMwDMMwDKMMmIE2DMMwDMMwjDJgBtowDMMwDMMwyoAZaMMwDMMwDMMoA2agDcMwDMMwDKMMmIE2DMMwDMMwjDJgBtowDMMwDMMwyoAZaMMwDMMwDMMoA2agDcMwDMMwDKMMmIE2DMMwDMMwjDJgBtowDMMwDMMwyoAZaMMwDMMwDMMoA2agDcMwDMMwDKMMmIE2DMMwDMMwjDJQze8DqKyUlJTs/3diYqKPR2IYhmEYhmH8Fgd6tAO921/FDPSfJCUlZf+/O3fu7OORGIZhGIZhGP+LlJQUtGrVqlx+l7VwGIZhGIZhGEYZiHLOOb8PojJSUFCAdevWAQCaNGmCatWsmK8gMTFxf8V/2bJlaN68uc9HZPwR7HWrnNjrVjmx163yYq9d+VNSUrK/a+DUU09FrVq1yuX3muv7k9SqVQunn36634cRaJo3b44WLVr4fRhGGbHXrXJir1vlxF63you9duVHebVtHIi1cBiGYRiGYRhGGTADbRiGYRiGYRhlwAy0YRiGYRiGYZQBM9CGYRiGYRiGUQbMQBuGYRiGYRhGGTADbRiGYRiGYRhlwAy0YRiGYRiGYZQBG6RiGIZhGIZhGGXAKtCGYRiGYRiGUQbMQBuGYRiGYRhGGTADbRiGYRiGYRhlwAy0YRiGYRiGYZQBM9CGYRiGYRiGUQbMQBuGYRiGYRhGGTADbRiGYRiGYRhlwAy0YRiGYRiGYZQBM9BGxDNz5kxERUUhKioKPXr08PtwjF9RUFCASZMm4dprr8Xf/vY31K9fHzVr1kTz5s3Rr18/vPPOO8jLy/P7MANHamoqHnvsMZxyyimoV68eGjVqhC5duuD1119HUVGR34dn/Aapqal4++23MXjwYBx99NGoVasW6tSpg2OOOQaXXXYZpk2bBpudVnkYNmzY/mvXE0884ffhGL/CJhEaEU1OTg5OPvlk7Nq1CwBw9tlnY/78+f4elLGfCRMm4N5770VycjJq1KiBK6+8EqeccgoaNmyI1atXY9y4ccjJyUHr1q3x5ZdfokOHDn4fciBYtmwZBg8ejMTERPTt2xeDBg1Cfn4+xo0bh/Xr16NDhw6YPn06jjjiCL8P1fgP9913H0aPHo2CggI0adIEV111FY4//ng45zBv3jxMnjwZoVAIvXr1whdffIFGjRr5fcjGQVi5ciU6d+6M0tJSAMDw4cPNRFc0nGFEMLfffrsDsP/r7LPP9vuQjAO47LLLHADXpEkTt3Xr1v/6/vbt290RRxzhALjDDjvMJSQk+HCUwWLnzp2uSZMmDoC76667fvG9goIC17NnTwfAdezY0RUUFPh0lMavadq06f5zXEZGxn99f9q0aa5q1aoOgDvzzDNdaWmpD0dp/BGKi4tdhw4dfnHtGj58uN+HZfwKa+EwIpYlS5bgrbfewsCBA/0+FON/8Oqrr+L444//r///2GOPxUsvvQQASEtLw4gRI9SHFjiGDRuGlJQUHHXUUXj++ed/8b2aNWtizJgxqFq1KqKjo/Hmm2/6dJTGb1GtWjWMHz8eDRs2/K/vnX/++bjhhhsAAIsWLcLnn3+uPjzjD/LSSy9h1apVGDRokN+HYhwEM9BGRFJUVIQbbrgBdevWxejRo/0+HOMgVKlSBeeff/7vfn/QoEGoVq0aAGDatGmqwwok27ZtwxdffAEAuPbaa1GzZs3/+pljjz0WPXv2BACMHDkSJSUl0mM0fp/27dvjqKOO+t3vX3TRRfv/bZ+liklMTAyefPJJnH766bjjjjv8PhzjIJiBNiKS5557Dhs2bMBzzz2HFi1a+H04xu/w0EMPYe7cuWjQoMHv/kzt2rXRpEkTAEBiYqIZNg/58ssv928y69Onz+/+XN++fQEAKSkptqeggvDpp5/igw8+OOjPHH300fv/Hd4XYlQsbrrpJhQXF++/02NUXMxAGxHHpk2b8Oyzz6JLly649dZb/T4c4yC0a9fuDyWjZGZmAmALgV1UvOP777/f/+/27dv/7s8duJnzwP/G8I+ePXuibdu2B/2ZjIyM/f+uW7eux0dklJUPPvgA33//Pe699160a9fO78Mx/gdmoI2IwjmHG264Ac45jBkzBlWq2Fu8spOcnLw/xq5bt26Iiory+Ygil/Xr1wMA6tev/5t9tGFatmy5/98bNmzw/LiM8iEuLm7/v7t37+7jkRi/JikpCcOGDcOxxx6L4cOH+304xh+gmt8HYBjlyejRo7Fo0SI89thjOPnkk/0+HKMcmDx58v5/2x0F7ygsLERSUhIAoGnTpgf92QO/v2PHDi8PyyhHwp+lWrVq4frrr/f3YIxfcPvttyM9PR1ffPEFateu7ffhGH8AK88ZEUNCQgIefvhhtGnTBo888ojfh2OUA845vP/++wBYfR48eLC/BxTBZGdn7/93rVq1DvqzB17gD/zvjIrL3r17MXXqVADMjLYM74rD1KlTMWnSJFx//fXo3bu334dj/EHMQBsRw6233oqcnBy89957v5keYFQ+xo4di+joaDRo0AAfffSRtW94SH5+/v5/16hR46A/e+D3bUpk5WDYsGEoKCjAaaedhkcffdTvwzH+Q1ZWFoYMGYImTZrsj+w0KgdmoA0pJSUl+0eT/pWvsWPH/uL3Tpw4EdOnT8eNN95ovX0e4NXrdjA2bdqEO++8E1WqVMGECRNw7LHHevcEjV9Ulf/XqO4Dv1+nTh3PjskoHz755BOMHz8ehx9+OCZNmmQFhgrE/fffj927d+O1116z6ZCVDOuBNio9+/btw5133olmzZph5MiRfh+OUQ4kJSVhwIAByM7OxpgxYw6aE22UD/Xr19//74KCgoP+7IHV6gP/O6Pi8cMPP+DGG29EgwYNMHPmTLRq1crvQzL+w48//oj33nsP/fv3xxVXXOH34RhlxAy0IaVatWrYtGnTX/49zZs33//v++67D3v37sU777yDkpISpKam/u5/V1xc/Ivv16lTxypofwAvXrffIzU1FX379kVMTAxGjx69f3qa4S01a9ZEs2bNkJSUhOTk5IP+7IHfN0NWcVm2bBkGDBiAGjVq4Ntvv0XHjh39PiTjPxQVFeHGG29EjRo1MGLEiN+8boXjOwG2Sh34Mw0bNkT16tUlx2r8NlEunJpvGJWUVq1aYefOnX/qvx0+fDieeOKJ8j0g40+zb98+9OrVC2vWrMGbb76JIUOG+H1IgaJv37747rvvADAz+Pei7L777rv9w1QeeughPPvss7JjNP4Y0dHR6NOnD0pLSzF79mycccYZfh+ScQA7duzAMccc86f/+3nz5v2hDH3DO6wCbVR6JkyY8Itbyr9F+GLftm3bX2zUaN26tafHZvxx0tPT0adPH6xZswavvfaamWcf6NWr134DvXr1apx99tm/+XMrV678xX9jVCxWrVqFvn37oqSkBN9++62Z5wpIs2bNMGfOnIP+zJo1a3DfffcBAK655hpce+21+79ng1b8xwy0Uek566yz/vDPHnrooQcdUWz4Q2ZmJs455xysWrUKL7/8MoYOHfpfPzN9+nQ88cQTePfdd+1WtEdcfPHFeOSRR+Ccw9y5c3/XQIdNduPGja0KVsFYu3Yt+vbti6KiIsyaNQtnnnnmf/3Mk08+iWnTpmHFihU+HKEBMCryf12LqlX72aK1bt3arl0VDEvhMAzDV7KysnDOOedgxYoVePHFF3H33Xf/5s+lpqYiOjracoc95Pjjj8cll1wCAPj4449/M40jNjZ2//juBx544BcXecNf1q9fj969eyM/Px8zZ85E165df/Pn4uLiEB0dLT46w4gs7MxnGIZvZGdno3///li2bBkGDRqETp06Yf78+b/5s5s3b9YeXEB58cUXMW/ePOzYsQMPP/wwRo0atf97hYWFuOmmm1BaWoqOHTvi9ttv9/FIjQPZuHEjevfujdTUVDz++OMIhUK/+1kKT5w0DOPPY5sIjYgkOTn5F/1l11xzDQDgxBNP/MWUwquvvlp+bMbPDB48eP90tD+KbZ7xnqVLl+KCCy5AYmIi+vXrh4EDByI/Px/jxo3DunXr0L59e8yYMcOm2VUQCgoKcMwxx5TZGNvlv+Kxdu1arF27FgCz8MMbdC+44AJceOGFAICmTZvu39dj+IcZaCMimT9/Pnr27Pk/f87e/v7Svn17rFmzpkz/jRloDampqXj11VcxefJk7Ny5E9WrV8cJJ5yAK6+8Erfeeuv/nFZo6MjIyMChhx5a5v/Ozn8VjyeeeAJPPvnkQX/m7LPP/t27C4YOM9CGYRiGYRiGUQZsE6FhGIZhGIZhlAEz0IZhGIZhGIZRBsxAG4ZhGIZhGEYZMANtGIZhGIZhGGXADLRhGIZhGIZhlAEz0IZhGIZhGIZRBsxAG4ZhGIZhGEYZMANtGIZhGIZhGGXADLRhGIZhGIZhlAEz0IZhGIZhGIZRBsxAG4ZhGIZhGEYZMANtGIZhGIZhGGXADLRhGIZhGIZhlAEz0IZhGIZhGIZRBsxAG4ZhGIZhGEYZMANtGIZhGIZhGGXADLRhGIZhGIZhlAEz0IZhGIZhGIZRBsxAG4ZhGIZhGEYZMANtGIZhGIZhGGXADLRhGIZhGIZhlAEz0IZhGIZhGIZRBsxAG4ZhGIZhGEYZMANtGIZhGIZhGGXADLRhGIZhGIZhlIH/B6hBblqLtOgrAAAAAElFTkSuQmCC\",\n      \"text/plain\": [\n       \"<Figure size 400x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 386,\n       \"width\": 360\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(4, 4))\\n\",\n    \"plot_direction_field(x, y(x), f, ax=ax)\\n\",\n    \"ax.plot(xm, ym, 'b', lw=2)\\n\",\n    \"ax.plot(xp, yp, 'r', lw=2)\\n\",\n    \"fig.savefig('ch9-odeint-single-eq-example.pdf')\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Lotka-Volterra equations for predator/pray populations\\n\",\n    \"\\n\",\n    \"$$\\n\",\n    \"x'(t) = a x - b x y\\n\",\n    \"$$\\n\",\n    \"\\n\",\n    \"$$\\n\",\n    \"y'(t) = c x y - d y\\n\",\n    \"$$\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 119,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"a, b, c, d = 0.4, 0.002, 0.001, 0.7\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 120,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def f(xy, t):\\n\",\n    \"    x, y = xy\\n\",\n    \"    return [a * x - b * x * y,\\n\",\n    \"            c * x * y - d * y]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 121,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"xy0 = [600, 400]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 122,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"t = np.linspace(0, 50, 250)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 123,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"xy_t = integrate.odeint(f, xy0, t)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 124,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 250, \\\\  2\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(250, 2)\"\n      ]\n     },\n     \"execution_count\": 124,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"xy_t.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 125,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 389,\n       \"width\": 789\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 2, figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"axes[0].plot(t, xy_t[:,0], 'r', label=\\\"Prey\\\")\\n\",\n    \"axes[0].plot(t, xy_t[:,1], 'b', label=\\\"Predator\\\")\\n\",\n    \"axes[0].set_xlabel(\\\"Time\\\")\\n\",\n    \"axes[0].set_ylabel(\\\"Number of animals\\\")\\n\",\n    \"axes[0].legend(loc=2, facecolor=\\\"white\\\", framealpha=1)\\n\",\n    \"\\n\",\n    \"axes[1].plot(xy_t[:,0], xy_t[:,1], 'k')\\n\",\n    \"axes[1].set_xlabel(\\\"Number of prey\\\")\\n\",\n    \"axes[1].set_ylabel(\\\"Number of predators\\\")\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch9-lokta-volterra.pdf')\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Lorenz equations\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"$$\\n\",\n    \"x'(t) = \\\\sigma(y - x)\\n\",\n    \"$$\\n\",\n    \"$$\\n\",\n    \"y'(t) = x(\\\\rho - z) - y \\n\",\n    \"$$\\n\",\n    \"$$\\n\",\n    \"z'(t) = x y - \\\\beta z\\n\",\n    \"$$\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 126,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def f(xyz, t, rho, sigma, beta):\\n\",\n    \"    x, y, z = xyz\\n\",\n    \"    return [sigma * (y - x),\\n\",\n    \"            x * (rho - z) - y,\\n\",\n    \"            x * y - beta * z]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 127,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"rho = 28\\n\",\n    \"sigma = 8\\n\",\n    \"beta = 8/3.0\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 128,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"t = np.linspace(0, 25, 10000)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 129,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"xyz0 = [1.0, 1.0, 1.0]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 130,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"xyz1 = integrate.odeint(f, xyz0, t, args=(rho, sigma, beta))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 131,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"xyz2 = integrate.odeint(f, xyz0, t, args=(rho, sigma, 0.6*beta))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 132,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"xyz3 = integrate.odeint(f, xyz0, t, args=(rho, 2*sigma, 0.6*beta))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 133,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 10000, \\\\  3\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(10000, 3)\"\n      ]\n     },\n     \"execution_count\": 133,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"xyz3.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 134,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from mpl_toolkits.mplot3d.axes3d import Axes3D\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 135,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x350 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 347,\n       \"width\": 1124\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(12, 3.5), subplot_kw={'projection': '3d'})\\n\",\n    \"\\n\",\n    \"for ax, xyz, c, p in [(ax1, xyz1, 'r', (rho, sigma, beta)),\\n\",\n    \"                      (ax2, xyz2, 'b', (rho, sigma, 0.6*beta)),\\n\",\n    \"                      (ax3, xyz3, 'g', (rho, 2*sigma, 0.6*beta))]:\\n\",\n    \"    ax.plot(xyz[:,0], xyz[:,1], xyz[:,2], c, alpha=0.5)\\n\",\n    \"    ax.set_xlabel('$x$', fontsize=16)\\n\",\n    \"    ax.set_ylabel('$y$', fontsize=16)\\n\",\n    \"    ax.set_zlabel('$z$', fontsize=16)\\n\",\n    \"    ax.set_xticks([-15, 0, 15])\\n\",\n    \"    ax.set_yticks([-20, 0, 20])\\n\",\n    \"    ax.set_zticks([0, 20, 40])\\n\",\n    \"    ax.set_title(r\\\"$\\\\rho=%.1f, \\\\sigma=%.1f, \\\\beta=%.1f$\\\" % (p[0], p[1], p[2]))\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch9-lorenz-equations.pdf')\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Coupled damped springs\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"As second-order equations:\\n\",\n    \"\\n\",\n    \"\\\\begin{eqnarray}\\n\",\n    \"m_1 x_1''(t) + \\\\gamma_1 x_1'(t) + k_1 (x_1(t) - l_1) - k_2 (x_2(t) - x_1(t) - l_2) &=& 0\\\\\\\\\\n\",\n    \"m_2 x_2''(t) + \\\\gamma_2 x_2' + k_2 (x_2 - x_1 - l_2) &=& 0\\n\",\n    \"\\\\end{eqnarray}\\n\",\n    \"\\n\",\n    \"On standard form:\\n\",\n    \"\\n\",\n    \"\\\\begin{align}\\n\",\n    \"y_1'(t) &= y_2(t) \\\\\\\\\\n\",\n    \"y_2'(t) &= -\\\\gamma_1/m_1 y_2(t) - k_1/m_1 (y_1(t) - l_1) + k_2 (y_3(t) - y_1(t) - l_2)/m_1 \\\\\\\\\\n\",\n    \"y_3'(t) &= y_4(t) \\\\\\\\\\n\",\n    \"y_4'(t) &= - \\\\gamma_2 y_4(t)/m_2 - k_2 (y_3(t) - y_1(t) - l_2)/m_2 \\\\\\\\\\n\",\n    \"\\\\end{align}\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 136,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def f(t, y, args):\\n\",\n    \"    m1, k1, g1, m2, k2, g2 = args\\n\",\n    \"    \\n\",\n    \"    return [y[1], \\n\",\n    \"            - k1/m1 * y[0] + k2/m1 * (y[2] - y[0]) - g1/m1 * y[1], \\n\",\n    \"            y[3], \\n\",\n    \"            - k2/m2 * (y[2] - y[0]) - g2/m2 * y[3] ]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 137,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"m1, k1, g1 = 1.0, 10.0, 0.5\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 138,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"m2, k2, g2 = 2.0, 40.0, 0.25\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 139,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"args = (m1, k1, g1, m2, k2, g2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 140,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y0 = [1.0, 0, 0.5, 0]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 141,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"t = np.linspace(0, 20, 1000)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 142,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"r = integrate.ode(f)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 143,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<scipy.integrate._ode.ode at 0x7f8152e543d0>\"\n      ]\n     },\n     \"execution_count\": 143,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"r.set_integrator('lsoda')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 144,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<scipy.integrate._ode.ode at 0x7f8152e543d0>\"\n      ]\n     },\n     \"execution_count\": 144,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"r.set_initial_value(y0, t[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 145,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<scipy.integrate._ode.ode at 0x7f8152e543d0>\"\n      ]\n     },\n     \"execution_count\": 145,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"r.set_f_params(args)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 146,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"dt = t[1] - t[0]\\n\",\n    \"y = np.zeros((len(t), len(y0)))\\n\",\n    \"idx = 0\\n\",\n    \"while r.successful() and r.t < t[-1]:\\n\",\n    \"    y[idx, :] = r.y\\n\",\n    \"    r.integrate(r.t + dt)\\n\",\n    \"    idx += 1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 147,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAB78AAAMNCAYAAADgO7BmAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAB7CAAAewgFu0HU+AAEAAElEQVR4nOzdd1hT1xsH8G/YKjhBRBH3xr03WvfWulGrddStbX9aXF2uWvfWah11a5249957Kw6U4R6Iiqzc3x+nQO5NgAQSAuH7eZ485p7ce8+Jxoz7nvc9KkmSJBAREREREREREREREREREaVhVuYeABERERERERERERERERERUXIx+E1ERERERERERERERERERGkeg99ERERERERERERERERERJTmMfhNRERERERERERERERERERpHoPfRERERERERERERERERESU5jH4TUREREREREREREREREREaR6D30RERERERERERERERERElOYx+E1ERERERERERERERERERGkeg99ERERERERERERERERERJTmMfhNRERERERERERERERERERpHoPfRERERERERERERERERESU5jH4TUREREREREREREREREREaR6D30RERERERERERERERERElOYx+E1ERERERERERERERERERGkeg99ERERERERERERERERERJTmMfhNRERERERERERERERERERpHoPfRERERERERERERERERESU5jH4TUREREREREREREREREREaR6D30RERERERERERERERERElOYx+E1ERERERERERESxJEnCvHnz4OjoCJVKhaNHjxq9j927d6NVq1bIkycPHBwcUKBAAfTq1QuXL182el9ERERElH4w+E1EREREREREREQAgIcPH8LLywtDhgzBp0+fjH5+tVqNfv36oXnz5jh16hR69OiBOXPmoGHDhli7di2qVq2KOXPmGL1fIiIiIkofVJIkSeYeBBEREREREREREZmPJEmYP38+fHx8YG1tjZIlS+Ls2bMAgCNHjsDLy8so/fj4+GDKlClwdnbGmTNnULhw4djH9u7di+bNm0OSJGzYsAEdOnQwSp9ERERElH4w85uIiIiIiIiIiCid++233zBkyBDUqlULN2/eROPGjY3ex61btzB16lQAwPjx42WBbwBo0qQJunfvDkmSTJZ5TkRERESWjcFvIiIiIiIiIiKidE6SJCxduhR79+5F3rx5TdLH5MmToVarkSFDBnh7e+vcp2/fvgCAFy9eYOnSpSYZBxERERFZLga/iYiIiIiIiIiI0rlff/0VvXv3Ntn5w8PD4evrCwCoWrUqnJycdO5XvXp1ODo6AgA2bdpksvEQERERkWVi8JuIiIiIiIiIiCidU6lUJj3/xYsX8eHDBwBAuXLl4t3PysoKZcqUAQCcOXMGYWFhJh0XEREREVkWBr+JiIiIiIiIiIjIpG7evBl7P7Gy6jGPq9Vq3L1716TjIiIiIiLLYmPuARApffnyBTdu3AAAuLi4wMaGL1MiIiIiIiKi1CgqKgqvXr0CAJQuXRoODg5mHhGlVv7+/rH3XV1dE9xX83F/f3+UL19e734CAwMTfPzLly+4e/cuXF1ded2JiIiIyMxM8XuC3+4o1blx4waqVKli7mEQERERERERkQHOnz+PypUrm3sYlEqFhobG3k/somaGDBl0HqePxLLKiYiIiCh1MtbvCZY9JyIiIiIiIiIiIpPSXLvbzs4uwX01H//8+bPJxkREREREloeZ32mUJEmYP38+fHx88OnTJxw5cgReXl5G7WP37t1YtGgRLl26hDdv3sDNzQ1eXl4YMmQIKlSoYNS+NLm4uMTeP3/+PNzc3EzWFxEREREREREl3bNnz2Krt2n+nidS0szmjoiISHBfzcczZsxoUD8BAQGJPl6jRg0AvO5EREREZG6m+D3B4Hca9PDhQ3z77bc4fvy4Sc6vVqvRv39/LFmyBNmzZ0e/fv1QoEABXLx4EStXrsTq1asxffp0DB061CT9a6615ObmBnd3d5P0Q0RERERERETGw7WTKSFOTk6x9798+ZLgvppZ4prH6cOQ60i87kRERESUehjr9wR/laQhmtne1tbWqFatGs6ePWv0fkaPHo0lS5bA2dkZZ86cQeHChQEA/fr1Q7t27dC8eXMMHz4cbm5u6NChg9H7JyIiIiIiIiIiy5I/f/7Y+y9evEhwX83HNY8jIiIiIkoM1/xOQ3777TcMGTIEtWrVws2bN9G4cWOj93Hr1i1MnToVADB+/PjYwHeMJk2aoHv37pAkCUOGDMGnT5+MPgYiIiIiIiIiIrIsnp6esfcTK00eGBgIALCyskLx4sVNOi4iIiIisiwMfqchkiRh6dKl2Lt3L/LmzWuSPiZPngy1Wo0MGTLA29tb5z59+/YFIGbhLl261CTjICIiIiIiIiIiy1GpUqXYEuZXr16Ndz+1Wo1r164BAKpXry5bK5yIiIiIKDEMfqchv/76K3r37m2y84eHh8PX1xcAULVq1XjXVKpevTocHR0BAJs2bTLZeIiIiIiIiIiIyDLY29ujVatWAIBz587h48ePOvc7e/Zs7GNcbo+IiIiIDMXgdxqiUqlMev6LFy/iw4cPAIBy5crFu5+VlRXKlCkDADhz5gzCwsJMOq40JToakCRzj4KIiIiIiIiIKEXdvHkTRYsWhbu7O44fP65zHx8fH1hZWSEsLAxr167VuU9MlUFXV1f06dPHZOMlIiIiIsvE4DfFunnzZuz9xMqqxzyuVqtx9+5dk44rTfn+e6BzZ4ATAoiIiIiIiIgoHZk4cSL8/PwQFBQEHx8fnft4enpixIgRAICxY8fi0aNHssf379+PlStXAgDmzp2LTJkymXbQRERERGRxbMw9AEo9/P39Y++7uromuK/m4/7+/ihfvrze/QQGBib4+LNnz/Q+V6qycCEwd664//gxsG0bkDu3WYdERERERERERKSv1atXx96/fv167P0DBw7EXs9xdXVFw4YNtY5Vq9Wx96UEquJNmjQJb968wdKlS1GlShV89913yJ8/Py5duoTly5fDysoKM2bMYMlzIiIiIkoSBr8pVmhoaOx9BweHBPfNkCGDzuP0kVhWeZp08CAwZEjc9oULQLNmwPnzgJ2d+cZFRERERERERKSn7t2762yfNGlS7P26devqDH6PGTMGly9fRlhYGKZMmRJvH1ZWVliyZAnatm2LhQsXYtmyZXj37h1y5cqFzp07Y9iwYahQoULynwwRERERpUsMflMszbW77RIJ2Go+/vnzZ5ONKc2QJCBTJuC/NdMBANeuAVu3Ap06mW9cRERERERERER6SihjOzFlypSBn5+f3vs3a9YMzZo1S3J/RERERES6MPhNsTSzuSMiIhLcV/PxjBkzGtRPQEBAgo8/e/YMVapUMeicZtewIXD2LFCzJvDuXVz74sUMfhMRERERERERERERERGlAAa/KZaTk1Ps/S9fviS4r2aWuOZx+nB3dzdsYGlFiRJize9u3eLajhwBgoO59jcRERERERERERERERGRiVmZewCUeuTPnz/2/osXLxLcV/NxzePSvfbtgSxZ5G3HjplnLERERERERERERERERETpCIPfFMvT0zP2fmKlyQMDAwEAVlZWKF68uEnHlabY2wN16sjbjh41y1CIiIiIiIiIiIiIiIiI0hMGvylWpUqVYkuYX716Nd791Go1rl27BgCoXr26bK1wAlC3rnybmd9EREREREREREREREREJsfgN8Wyt7dHq1atAADnzp3Dx48fde539uzZ2Mc6dOiQYuNLM7y85Nv37gFv3phlKERERERERERERERERETpBYPf6cjNmzdRtGhRuLu74/jx4zr38fHxgZWVFcLCwrB27Vqd+yxduhQA4Orqij59+phsvGlW2bKAnZ287cYN84yFiIiIiIiIiIiIiIiIKJ1g8DsdmThxIvz8/BAUFAQfHx+d+3h6emLEiBEAgLFjx+LRo0eyx/fv34+VK1cCAObOnYtMmTKZdtBpkY0NUKqUvO2/MvFEREREREREREREREREZBo25h4AGWb16tWx969fvx57/8CBAwgMDAQgMrIbNmyodaxarY69L0lSvH1MmjQJb968wdKlS1GlShV89913yJ8/Py5duoTly5fDysoKM2bMYMnzhJQtC1y5ErfN4DcRERERERERERERERGRSTH4ncZ0795dZ/ukSZNi79etW1dn8HvMmDG4fPkywsLCMGXKlHj7sLKywpIlS9C2bVssXLgQy5Ytw7t375ArVy507twZw4YNQ4UKFZL/ZCxZmTLybQa/iYiIiIiIiIiIiIiIiEyKwe80JqGM7cSUKVMGfn5+eu/frFkzNGvWLMn9pWtly8q3b90C1GrAiisNEBEREREREREREREREZkCI3FEplCypHw7PBwICDDPWIiIiIiIiIiIiIiIiIjSAQa/iUzB1RVwcpK3GZB1T0RERERERERERERERESGYfCbyBRUKqBoUXnb/fvmGQsRERERERERERERERFROsDgN5GpMPhNRERERERERERERERElGIY/CYylSJF5NsMfhMRERERERERERERERGZDIPfRKaizPzmmt9EREREREREREREREREJsPgN5GpFCok3376FFCrzTMWIiIiIiIiIiIiIiIiIgvH4DeRqeTLJ9+OiABevDDPWIiIiIiIiIiIiIiIiIgsHIPfRKbi6grY2cnbnjwxz1iIiIiIiIiIiIiIiIiILByD30SmYmUF5M0rb2Pwm4iIiIiIiIiIiIiIiMgkGPwmMiVl6fOnT80zDiIiIiIiIiIiIiIiIiILx+A3kSl5eMi3mflNREREREREREREREREZBIMfhOZkjLzm8FvIiIiIiIiIiIiIiIiIpNg8JvIlFj2nIiIiIiIiIiIiIiIiChFMPhNZEose05ERERERERERERERESUIhj8JjIlZeZ3SIi4EREREREREREREREREZFRMfhNZEp582q3MfubiIiIiIiIiIiIiIiIyOgY/CYyJXt7wM1N3sZ1v4mIiIiIiIiIiIiIiIiMjsFvIlPjut9EREREREREREREREREJsfgN5GpKdf9ZvCbiIiIiIiIiIiIiIiIyOgY/CYyNQa/iYiIiIiIiIiIiIiIiEyOwW8iU8ubV74dFGSecRARERERERERERERERFZMAa/iUwtTx75dnCwecZBREREREREREREREREZMEY/CYytdy55dvBwYAkmWcsRERERERERERERERERBaKwW8iU1MGv8PDgXfvzDMWIiIiIiIiIiIiIiIiIgvF4DeRqeXKpd3G0udERERERERERERERERERsXgN5Gp2dkBLi7ytqAg84yFiIiIiIiIiIiIiIiIyEIx+E2UEvLkkW8z85uIiIiIiIiIiIiIiIjIqBj8JkoJynW/GfwmIiIiIiIiIiIiIiIiMioGv4lSAoPfRERERERERERERERERCbF4DdRSmDwm4iIiIiIiIiIiIiIiMikGPwmSgkMfhMRERERERERERERERGZFIPfRCmBwW8iIiIiIiIiIiIiIiIik2LwmyglKIPfz54BarV5xkJERERERERERERERERkgRj8JkoJyuB3dDTw6pV5xkJERERERERERERERERkgRj8JkoJOXMC1tbytqAg84yFiIiIiIiIiIiIiIiIyAIx+E2UEqytgVy55G1c95uIiIiIiIiIiIiIiIjIaBj8JkopytLnDH4TERERERERERERERERGQ2D30QphcFvIiIiIiIiIiIiIiIiIpNh8JsopTD4TURERERERERERERERGQyDH4TpRQGv4mIiIiIiIiIiIiIiIhMhsFvopSSEsHvt2+Bvn2BKlWAVq2AkyeN3wdZnqgoYMsWYNw4YNs2IDLS3CMiIiIiIiIiIiIiIiIyGIPfadTr168xbtw4eHp6wtHREdmzZ0f16tUxZ84cREREJOvcR48ehUql0us2bdo0Iz2jdMDUwe/wcKB5c2DpUuDCBcDXF2jYELh507j9kGUJDgYqVwa+/hqYMAFo2xaoXh14+dLcIyMiIiIiIiIiIiIiIjIIg99p0Pnz51GmTBlMmDABuXPnxpQpUzB69Gh8/PgRw4YNQ7Vq1RDMktqpjzL4/fKlcTNsJ00Czp6Vt335AvToAajVxuuHLEd4ONCmDXD1qrz90iVROSCZE2mIiIiIiIiIiIiIiIhSko25B0CGefr0KVq0aIFXr15h+PDhmDlzZuxjQ4YMQdOmTXHkyBG0atUKp06dgr29fZL7WrlyJapUqZLgPjlz5kzy+dMdZfBbkoDnz4G8eZN/7vBwYP583Y9duQKcOAHUrZv8fsiyzJkjqgTocu4csGQJMGhQyo6JiIiIiIiIiIiIiIgoiRj8TmNGjBiBV69ewcPDA3/88YfsMXt7eyxZsgTFihXDpUuXMG/ePPz4449J7svDwwPFixdP7pApRo4cgJ2dPJs2ONg4we+tW4E3b+J/fPVqBr9JLjQUmDIl4X3Gjwd69QIyZkyZMRERERERERERERERESUDy56nIX5+fti0aRMAoEePHjqzugsVKoR69eoBAKZMmYKoqKgUHSMlQKUy3brf69Yl/PimTcYtsU5p35o12hMmpk6Vb794AWzenHJjIiIiIiIiIiIiIiIiSgYGv9OQf//9F5IkAQAaNGgQ734NGzYEALx69QpHjx5NiaGRvpTB76Cg5J8zIgI4fFjeNmGCfDskBLh8Ofl9keVYtky+3bw58L//Acr3FuV+REREREREREREREREqRSD32nIYY0AZ7ly5eLdr3z58jqPSY6IiAiEhYUZ5Vzpmikyv8+cAT5+lLf17QuULClvO348+X2RZbhzR3ut7wEDxJ99+8rbjx4Fnj5NkWERERERERERERERERElB4PfacjNmzcBAE5OTsiSJUu8++XVWEP61q1bSe7v9OnTaN26NXLnzg0HBwdkzJgRWbNmRfPmzbF169bYLHQygCkyvw8ckG+XLw/kzAnUqSNvP3Ei+X2RZdiyRb7t5gY0bizut24NZMsmf9zXN2XGRURERERERERERERElAwMfqcR4eHheP78OQDA1dU1wX01H/f3909yn2PGjEFQUBB8fHzg6+uLdevWoW3btti3bx/atWuHVq1aITQ01ODzBgYGJnh79uxZksec6uXJI982Rub36dPy7f/K3usMfnPCAgHAjh3y7a+/BmxsxH17e6BFi4T3JyIiIiIiIiIiIiIiSoVszD0A0o9mkNnBwSHBfTNkyKDzOEMNHToUM2fOhJVV3ByJzp07o3PnzmjRogV27tyJrl27wtfArFDNzPR0Rxn8Tm7md3Q0cP68vK1mTfmfMd6/B548AfLnT16flLY9e6b9mmndWr7dsiWwalXc9pEjorS+o6Ppx0dERERERERERERERJREzPxOIzTX27azs0twX83HP3/+bHBf1apVg7+/P2bNmiULfMdo3Lgx+vfvDwDYuXMntm/fbnAf6Zaxy57fugV8+iRvq1pV/Jk3r3b56mvXktcfpX2HD8u3M2fWrhLQuDFgaxu3HRkJnDxp+rERERERERERERERERElA4PfaYRmNndERESC+2o+njFjRoP7cnBwQL58+aBSqeLdp3fv3rH3ly1bZtD5AwICErydV2alWhJl5veHDyKjNqnOnpVv588PxJS9V6mAsmXljzP4TUePyre9vADlhJrMmYEqVeRtyqA5ERERERERERERERFRKsOy52mEk5NT7P0vX74kuK9mlrjmccZUunRp2NvbIzw8HKeVa04nwt3d3SRjShOUmd+AWPe7aNGkne/yZfl2TNZ3jDJl5MFOBr9JV/Bbl/r1gVOn4raPHDHViIiIiIiIiIiIiIiIiIyCmd9phL29PXLlygUAePHiRYL7aj6e30TrO1tbWyN79uwAgDdv3iAqKsok/VgcR0eRVaspOaXPr16Vb1eoIN9m5jdpCgwEHjyQt9Wrp3tfZfvly0BoqGnGRUREREREREREREREZATM/E5DPD098fz5c4SGhiIkJARZsmTRuV9gYGDs/VKlSplsPGq1GgCgUql0rg1O8ciTR5Q7jxEcnLTzREcD16/L28qVk2+XLi3ffvwYCA8H7O2T1ielbcqs72zZRHUAXapXF+t+R0aKbbUauHgx/mA5ERERERERERERWYzw8HA8ePAA9+/fR2hoKBwcHGQ3e3t7rTYHBwc4OTkxXkBEZsXgdxpSv359HDx4EABw9epV1K1bV+d+lzVKYdevX9+gPkJCQjB37lzUrl073vMDQGRkJN6+fQsAyJkzJz/MDJEnD3DnTtx2UjO//fwAjRL3ALQzvYsVk2+r1cDDh0DJkknrk9I2ZfC7Th0gvv+7Dg7i9XTxYlzb2bMMfhMREREREREREVmQ9+/f49KlS7h37x7u37+Pe/fu4d69e3jy5ElsApwhHBwcUKBAARQsWBAFCxbUuu/o6GiCZ0FEFIfB7zSkffv2GDNmDCRJwqFDh+INTscEyJ2dneEV33q+8Xj37h3GjRuH7777LsHg96VLlxD5X0ZorVq1DOoj3VOu+53U4LeyhHmuXICrq7wtc2bR/vx5XNv9+wx+p1f6rvcdo1o17eA3ERERERERERERpXlv377FhAkTMH/+fERERBjtvF++fMGdO3dwRzMBTEPOnDllAfGCBQuiSJEiKFeuHJycnIw2DiJKvxj8TkOKFCmCDh06YOPGjVi1ahXGjh0LOzs72T6PHj3C4cOHAQA//fQTbGzk/8Q3b95Eu3bt8PnzZ6xduxZ16tTR2df+/fsRHR0Na2trnY8vXLgw9n6/fv2S87TSnzx55NtJLXt+65Z8W5n1HaNoUXnw+969pPVHpnP3LnDhApA/P1CrFqBSGb+PZ89E1r+mxILfVasC8+bFbZ87B0iSacZHREREREREREREJhceHo758+dj/PjxeP/+fYr3//LlS7x8+RLnzp2TtatUKhQpUgQVKlSIvZUvXx7Zs2dP8TESUdrG4HcaM3XqVBw5cgT+/v4YPXo0pk2bFvtYeHg4+vXrh+joaFSsWBGDBw/WOn7ixInw8/MDAPj4+OD06dM6+3n8+DFGjhyJadOmQaUIdK1cuRKrVq0CAHTp0gUNGzY01tNLH5TB76RmfitnzsWXzV2sGHD8eNz2/ftJ64+MT5KAceOASZPEfQCoWBHYtg1wdzduX8qsbScn7TXhlapVk2+/eAE8eSKC9ERERERERERERJSmbN68GSNHjsSjR4/0PsbNzQ2urq4IDw/Hly9fYv+MuSWlNLoukiTh/v37uH//PtavXx/bnj9/fllAvEKFCnBVVkAlItLA4Hca4+HhAV9fX7Rt2xbTp0/HzZs30apVK4SFhWHlypW4ceMGypUrhx07dsDBwUHreM0PIikm2KbB0dERhQoVwsOHDzFjxgwcPnwYX3/9Ndzd3fHu3Tvs2bMHBw4cAAD07NlTlgFOejJW2XNl8Lt4cd37FS0q32bmd+oxYwYwcaK87dIlsa72pUuibL2xKGZSokoVIJ7KDrEKFQJy5ADevIlrO3uWwW8iIiIiIiIiIqI0ZuHChRg4cKDOx2xtbeHp6YlixYqhaNGiKFasGIoVK4YiRYogcyLXKKOiomID4Z8+fUJAQAAePXoUe3v8+DEePXqE4CRWQPX394e/vz+2bNkS25Y7d25ZMLxatWoMiBNRLAa/06CqVavi+vXrmDVrFrZu3YqRI0fC1tYWRYsWxaxZszBgwACtcugxxowZg8uXLyMsLAxTpkzRetzZ2Rl+fn44cuQIfH19cfbsWcyaNQshISFwcHBAnjx50KdPH/Tu3RvVlFmhpB9l5vezZ4BaDVhZ6X+OqCjgvwz+WCVK6N5XGfx+/Fj/fsh0njwRWd+6PHgAjB8PTJ1qvP6Uwe+qVRM/RqUS++3eLT9P587GGxcRERERERERERGZ1Lt37zBy5Eidj3Xq1AmTJk1CwYIFk3RuGxsbODo6wtHREc7OzsiXLx9q1aqltV9YWBj8/f1lAfFHjx7hwYMHuHfvHqKiovTuMzg4GMHBwdi5c2dsW5EiRVC7du3YW8GCBbWq2hJR+sDgdxrl7OyMCRMmYMKECQYdV6ZMmdiy5/FRqVSoX78+6tevn5whUnyUwe/ISOD1ayBnTv3P8fgxEBEhb4sv8ztfPvn2s2fi2HgmSFAKmTkTCAuL//FZs4DBg7X//ZIiOlqsKa5J38kryuC3snw6ERERERERERERpWoLFizAx48fZW01atTA9OnTUyzJLUOGDChRogRK6Eji+vLlC27evInLly/H3q5fv47w8HC9z+/n5wc/Pz8sW7YMgCjXrhkML126NKwMSUAjojSLwW+ilObqKrK8NddCCQoyLPh99658O0cOwMVF977K4KkkAQEBoqQ1mUdYGLBypbytQQPg2DExGQIQ2f0LFwJ//JH8/m7dAj59krfpk/mta7+rV8XYbPjxQURERERERERElNp9/vwZs2fPlrW1b98eGzduTDWZ0Q4ODqhUqRIqVaoU2xYZGYk7d+7IAuJXrlzB58+f9Trns2fPsHHjRmzcuBEAkCVLFtSsWRO1a9dGnTp1UKlSpXgr6BJR2sboBVFKs7ERAfBnz+LagoOB8uX1P4dyve/4Sp4DQNasYu3oDx/i2vz9Gfw2p23bgPfv5W2LF4s1wOfPj2tbsgT49VfAwSF5/SmztQsU0H+yRYUK8u0vX4D794GSJZM3JiIiIiIiIiIiIjK55cuX49WrV7K2MWPGpJrAd3xsbW1RpkwZlClTBj179gQAREdH4/79+7KA+MWLF7Wy2nUJCQnB7t27sfu/KpcODg6oWrVqbGZ49erV4eTkZMqnREQphMFvInPIk0ce/A4KMux4ZeZ3fCXPY+TLB9y4Ebf95Ilh/ZFx7dgh327YEChYEBgyRB78fvtWlBxv1y55/SVlve8YLi7i9ar5Gr1yhcFvIiIiIiIiIiKiNGD9+vWy7SZNmqBcuXLmGUwyWVtbx5ZO9/b2BgBERUXh2rVrOHHiROxNGezX5cuXLzh27BiOHTsWe+6qVauiQYMGaNiwIapWrQpbW1uTPh8iMg0ucEBkDrlzy7cNDX4bkvkNAPnzy7cZ/DafyEhgzx55W/v24s9ixQAvL/lja9cmv8/kBL8BQPll+OrV5IyGiIiIiIiIiIiIUsibN29k2+2Sm2iTytjY2KBixYoYPnw4Nm/ejBcvXuDu3btYsmQJevTogQIFCuh1nujoaJw+fRq///47ateujRw5cqBVq1aYO3cu7t69C0mSTPxMiMhYmPlNZA558si3DQl+S1LSMr81MfhtPqdPAyEh8rbmzePud+0KHD0at71zp1ivO1OmpPX34QNw+7a8zdDgd/nywK5dcdtXriRtLERERERERERERJSiChYsiDsayVSBgYFmHI3pqVQqFCtWDMWKFUOfPn0AAEFBQbLM8Js3byYazA4NDYWvry98fX0BAO7u7rFZ4Q0aNEBOfZeVJKIUx8xvInNQBr+Dg/U/9sUL7fWiE8v8ZvA79fivjE6scuXkr4evvxbrwscIDwcOHUp6fxcvigkTMWxtDVtfHtDe/8oV+TmJiIiIiIiIiIgoVSpcuLBs28/Pz0wjMZ88efKgc+fOmD9/Pq5fv443b97A19cXI0eORPXq1fUqbx4YGIgVK1bA29sbrq6uKFeuHEaMGIF9+/bh8+fPKfAsiEhfzPwmMofklD1Xljx3cAA8PBI+hsHv1OPECfl2vXry7ezZgVq15Nnfu3cDrVolrT9lyfOyZcVrxhDKsudv3wKBgUDevEkbExEREREREREREaWIIkWKyLbTY/BbKVu2bGjRogVatGgBAPj8+TNOnDiBAwcO4MCBA7h+/Xqi57h27RquXbuGadOmwd7eHjVr1kTDhg3RsGFDlC9fHlZWzD0lMhf+7yMyh+SUPVeWPC9WDLC2TvgYZfA7IACIjta/TzKOqCjgzBl5W+3a2vtplkEHRMnxpGZanz8v3za05DkAFCgAZMkib2PpcyIiIiIiIiIiolRPV/Cb61fLZcyYEY0bN8a0adNw7do1PH/+HKtXr0bPnj2RR3ktX4fw8HAcPnwYo0aNQqVKlZAzZ0507doVa9aswevXr1PgGRCRJga/icxB+YH55o0ob60PZeZ3YiXPAe3gd1SUYaXWyTiuXhXrd2uqVUt7v2bN5NuBgcCNG4b3J0namd9JCX6rVNrZ3wx+ExERERERERERpXrKsuchISG4deuWmUaTNri6usLb2xvLly9HQEAAbt++jdmzZ6NFixZwdHRM9Pg3b95g3bp16NatG1xdXVGjRg1MnDgRV65c4cQDohTA4DeROSjLngP6B6OVmd/Fiyd+TM6c2qWuWfo85V24IN8uWhRwcdHer0QJIH9+edvu3Yb3FxgIPHsmb6tSxfDzANrB76tXk3YeIiIiIiIiIiIiSjH58uVDjhw5ZG1//PGHmUaT9qhUKpQoUQJDhw6Fr68v3r59ixMnTuDnn39G9erVYZ1IVVa1Wo0zZ85g7NixqFChAtzd3dG3b19s3boVoaGhKfQsiNIXBr+JzCFrViBjRnlbQIB+xyYl81ul4rrfqcGlS/LtypV176dS6S59bihlyfOsWQFFmSO9lS8v32bmNxERERERERERUapnbW2NQYMGydrWrVuHBw8emGlEaZutrS1q1aqF3377DadPn8abN2+wdetWDBo0CEWLFk30+ODgYCxduhTt2rVDjhw50LBhQ8ycORP3799nVjiRkTD4TWQOKhXg4SFv0ycYHRoqsnk16ZP5DTD4nRoog98VK8a/r7L0+ZkzQEiIYf0pS55XqQJYJfFtXxn8fvIEePs2aeciyyBJwL//Ao0aAXnzitfIr78a/jpNqhcvgFGjgDJlAHd34KuvgJUrAbU6ZfonIiIiIiIiIkojhg4dKivXrVarmf1tJFmyZEGbNm0wb9483Lt3D/7+/li0aBFatmyJjMoEOIXIyEgcPHgQP/zwA4oVK4YiRYpg2LBh2LdvH758+ZJCz4DI8jD4TWQuBQrItx8/TvyYe/fk2yqVKJ2tD2Xw299fv+PIOL58AW7elLclFPz28gLs7eO2o6OBI0cM61NX8DupSpQA7OzkbdeuJf18lLZFRgLdugEdOgAHDohJOVevAr/9BpQqZfrXxoEDgKcn8McfwI0bQFAQcPgw0LMn0LhxygXgiYiIiIiIiIjSgBw5cmDgwIGytpUrV+Lp06dmGpHlypcvH7777jvs2LEDb968wd69ezFkyBAULFgw0WMfPnyIOXPmoEmTJsiRIwdat26NxYsXI0DfqrFEBIDBbyLzUa7prE8wWrned4EC2mt5x0eZaa7MICfTunULiIqK21aptLOpNWXMCNSuLW/bt0///qKigIsX5W1Vq+p/vJKtrQg2amLp8/RJkoABA4C1a3U/HhQE1K2rvUSDsezbB7RoAbx+rfvxgweBli3FhBMiIiIiIiIiIgIA/PDDD3DQuJYcFRWFP//804wjsnwODg5o3Lgx5syZgwcPHuDu3buYPn06vvrqK9ja2iZ47OfPn7Fjxw70798fHh4eKFeuHH7++WdcunSJ5dGJEsHgN5G5JCXzOynrfcfIk0e+HRys/7GUfLduybcLFgScnBI+plEj+fb+/fr3d/s28PmzvC05wW9AO1h/9Wryzkdp07//An//nfA+ISEiAB0aaty+790T2eYREQnvd+IE4ONj3L6JiIiIiIiIiNIwV1dX9OvXT9a2dOlSPHv2zEwjSl9UKhWKFSuGH374AQcPHsTr16+xZcsW9O7dG25ubokef+3aNYwfPx6VKlWCh4cHBg0ahP379yMisetkROkQg99E5pKUzG8Gv9MuZfC7VKnEj1EGvx89Ah4+1K8/ZcnzAgUAFxf9jo1PuXLybWZ+pz+hocCQIfI2Bwfg99+BGjXk7Q8fijW5jSU6GvD21g6ot2oFzJ0LuLrK22fPFkFwIiIiIiIiIiICAIwYMUKWcRweHo5x48aZcUTpV+bMmdG2bVssXboUQUFBuHz5MsaPH49q1apBpVIleGxgYCAWLFiAxo0bw8XFBZ07d8a6devw/v37lBk8USrH4DeRuSgzvwMC5GWxdVGWPS9eXP/+cueWb796BYSH6388JY8y+F2yZOLHlCmjHdDTt/T52bPy7eSs9x1Dmfl95w4QFpb881LaMWcO8OKFvO3vv4Fx40S58cqV5Y/Nnw+cPGmcvpcvBy5dkrd17gxs2QIMHiwqIyiXgRg+HFCrjdM/EREREREREVEa5+7ujl69esna/v77b/j6+pppRASIrPDy5ctj7NixOHPmDF6+fIlVq1ahc+fOyJYtW4LHfvjwARs2bEDXrl3h4uKCBg0aYO7cuVzPndI1Br+JzEWZ+R0dnfA63JGRgJ+fvM2QzG9l8BsAnj/X/3hKntu35dv6ZH6rVEkvfX78uHy7WjX9jktImTJiTDGio7WD+mS5Pn0Cpk+XtzVrBnTpIu5nyACsXy/+1NS3b+JlyhMTEgKMHi1vK15cBN6trcV2mTLA5MnyfS5fFsFxIiIiIiIiIiICAIwZMwaOjo6ytj59+uDVq1dmGhEpOTs7o1u3bli3bh1evnyJY8eO4YcffkChQoUSPC4qKgqHDh3C0KFDkS9fPpQvXx6//vorrly5wnXCKV1h8JvIXHLkABRfMhJc9/vBA+3McEMyv7Nl086KZOnzlPHpk/a/rT7Bb0A7+H34sJgIkZDgYPF60VS3rn79JcTJCShcWN7G0ufpx6pVwLt38rZJk+QTIgoWBCZMkO9z9y6waFHy+h4/XlSr0DR3LpAxo7xt8GDtSUFTpwL8ck9EREREREREBADw8PDArFmzZG0vX75Ev379GCBNhWxsbFCnTh1Mnz4dfn5+uHXrFiZNmoSqVasmeuzVq1fx22+/oUKFCsifPz+GDBmCgwcPcp1wsngMfhOZi0pl2LrfygzbXLmA7NkN60+Z/R0UpP/xlHTKtdpVKv0nLjRsKN8ODdUuaa507Jh8O2tWkRVrDMrS55cvG+e8lLpJkihhrql5c6BsWe19hw0DKlWSt/36K/D2bdL6vndPrN+tqXVroEED7X1tbICff5a3nT9vvNLrREREREREREQW4Ntvv0XLli1lbdu2bcOKFSvMMyDSi0qlQsmSJTFq1CicPXsWwcHBWLx4MZo1awZ7e/sEj3369CnmzZuHhg0bImfOnOjSpQs2bNiA0NDQFBo9Ucph8JvInJTrfieU+X3zpnzb09Pw/pTBb2Z+pwzlxIWCBbVLQ8fH1RUoV07elljp86NH5du1a8eVhk6uChXk28o1mMkyXb2q/R40dKjufa2tAcXsYbx7p50Rrq8ffpBXvbCzA6ZNi3//9u2BfPnkbQntT0RERERERESUzqhUKixZsgQuLi6y9qFDh+JxQteoKVVxc3NDv379sGvXLrx+/RqbN29Gjx49kD2RpLmQkBCsX78enTt3houLC1q1aoUVK1bgzZs3KTRyItNi8JvInJKT+Z2U4HeePPJtZn6nDOW/nb4lz2MYuu63MvPbGCXPYygzeq9fT7wMO6V9a9fKt/Pl0515HaNmTaBDB3nbvHmAn59h/e7eLW6avv9eu/y+JhsbsY+mHTuAR48M65uIiIiIiIiIyIK5urpiyZIlsraPHz/im2++QXR0tJlGRUnl6OiIdu3aYeXKlXjx4gWOHj2K77//HgULFkzwuPDwcPj6+qJXr15wdXVFgwYNsGDBAgQzcY7SMAa/icxJmfmdUPBbmXVpaAAVYOa3udy+Ld9ObvD7wgUgvll4z5+LMtGajBn8VmZ+h4drB/fJsqjVwLp18rauXQGrRL5C/PGHyNKOERkJjBypf78RESLrW1OuXMCYMYkf27u3KPevaeVK/fsmIiIiIiIiIkoHWrdujd69e8vaTpw4genTp5tpRGQMNjY2qFu3LmbMmIEHDx7gxo0bmDBhAqpUqZLgcdHR0Th06BAGDRqEPHnyoEaNGpg+fToeMamE0hgGv4nMSZn5HV9JmfBw7YxJlj1PO5Kb+V2zprxMuiQBhw7p3leZ9e3kpF02PTmyZRNl2zVdvGi881Pqc+KEdpWIrl0TP65gQWD4cHnbtm3aZfnjM3++9kSOP/4Qr+nEODoC3t7ytpUrRSCfCACePAFmzAB69QK6dwd++QU4fVq8vxIRERERERGlIzNnzkQBRZLW2LFjcfXqVfMMiIxKpVLB09MTY8aMwblz5xAUFIRFixahcePGsLW1TfDYM2fO4H//+x8KFSqE8uXLY/z48bh16xYkXj+hVI7BbyJzUmZ+BwWJQLfSvXuAstRMyZKG98ey5ykvLEw7o9/QfzsHB8DLS962c6fufffulW/XqiXKQBtTxYryba77bdmUWd+lS+s/+Wb0aMDZWd72ww+JB6FfvgR++03eVrmyCFLqq1cv+faTJ8CRI/ofT5bp3Tugb1/x+fvjj8CKFcDq1cDvv4uJRpUrAydPmnuURERERERERCnGyckJ//zzD1QqVWxbZGQkvv76a7x+/dqMIyNTyJ07N7777jvs3bsXL1++xOrVq9GuXTtk0Ey+0uHq1av4+eef4enpieLFi2PUqFG4cOECA+GUKjH4TWROygxaSQIePNDeT1ny3MMDyJzZ8P6Y+Z3ydJWEKVLE8PM0bSrf3rFDlIXWpFYDu3bJ25o0MbyvxJgi+B0YCIwYAdSrB7RtC2zaxAzM1ECtFtnamvTJ+o6RJYsIKmq6cgVYtSrh4374AQgJkbfNnp14qXVNFSqIQL2mFSv0P54sz507QKVKwNKl8b+/XLoE1KkDTJzISgFERERERESUbtSqVQs//fSTrO3Ro0do3749IpTXIMliZM2aFd7e3ti8eTNevXqFzZs3w9vbG5kTiT3cv38ff/zxB6pUqYJ8+fJh+PDhOH78ONeKp1SDwW8ic8qcWTsgffeu9n7K4HdSSp4D2n2FhoobmY5yMkOuXKIks6HatpVvh4QABw/K286fB169krc1b254X4mpVEm+ff26WM85qY4dE6Xgp00TJbG3bQM6dhRlq6OikjNSSq6rV4EXL+Rt7dsbdo6+fYESJeRto0cDnz7p3n/vXmDNGnlbt25A9eqG9atSaWd/b97M97z06vFj4KuvdE9IUpIkYOxYoEMH4MsX04+NiIiIiIiIKBX47bffULVqVVnbsWPHMGTIEGb3pgOZMmVCu3btsHr1arx69Qp79uxBnz594Kys6qgQEBCA2bNno27dunBzc0O/fv1w4MABRCbnejFRMjH4TWRuxYvLt+/c0d4nuWtGx1AGvwFmf5vaw4fy7UKFknYed3egWjV52+rV8u316+XbJUokvb+EVKgg3w4P136N6uvWLaBZM+DDB+3H1q0Dfv01aecl41CW0S9cWNwMYWMDTJ8ubwsOBn7+WXvfkBCgf395W9aswNSphvUZw9tbXvY/LEw7k50s38uXQKNGwLNn8vZMmYCePcXa9LreK7dsAdq0Ea8bIiIiIiIiIgtnZ2eHrVu3Io9i6cy//voL8+bNM9OoyBzs7OzQpEkTLFmyBM+fP8fRo0cxdOhQuLu7J3jcq1evsGTJEjRq1Ahubm7o06cP9u3bx0A4pTgGv4nMTZkRqSv4bazM70yZRBliTQx+m5Yy89vQwKGmzp3l21u2iPVrAZEhrVyb+euvk95XQrJl0y7Zf+6c4eeJiBDByc+f499n0iSRfUzmoQx+K8vv66tJExF81DRjBvDvv3HbUVFiTe8nT+T7TZ0qKiYkRc6cQOPG8jblpBGybGq1eJ9RvhdXqiQ+b5cvB2bOFFVXJk3SLq2/bx/QujUzwImIiIiIiChdcHNzw/bt27XWfx4+fDj2799vplGROVlbW6Nu3bqYPXs2nj59ivPnz8PHxwdFElna882bN/j777/RpEkTuLq64ttvv8WePXtYRp9SBIPfROamDH4ry56/e6ddpjWpwW9AO/s7KCjp56LEGSvzGxABHFvbuO3wcGDJEnF/+3aR3aipe/ek95UYRQkknDpl+DkWLACuXZO35cgh35Yk3RnCZHrv3wOnT8vbkrqGvEolgt12dvJ2b2/gr7/E+1779oCvr/zxunWB3r2T1qdmH5oOHgSeP0/eOSntmDVLe4mI0qWBAweAvHnj2mxsgFGjRLBbua7VgQPi9ckfZ0RERERERJQOVKxYEStXrpS1qdVqdOzYEffu3TPTqCg1UKlUqFy5MiZPnox79+7hxo0b+O2331C2bNkEj3v37h2WL1+OZs2awdXVFT179sSuXbsQHh6eQiOn9CbdBr8rVqxo7iEQCbrKnkdHx21fvix/3M4uecFvRdkaBr9NTBn8Tk7mt7Oz9trf06cDHz8CkyfL26tUAYoWTXpfialVS7598qRhx4eEAL//Lm8rXRoIDAR++03e7uurXf2ATO/QIfl7kb094OWV9POVKqVd/jwiAvjuOzEJaPt2+WPOzsA//4jAeXK0aiWqXsRQq4ENG5J3Tkobrl8XAW1NefKIAHfWrLqPadBABLuVj+/aBXTtKioUJFdEhPisP3tW/MnSX0RERERERJTKdOjQAb8qliMMCQlBy5Yt8S6mEiWlayqVCp6envj5559x9epVPHjwAH/++ScqV66c4HHv37/HypUr0aJFC7i6uqJHjx7w9fXFF1bdIyNKl8Hvjx8/4irL6FJqUbq0fDssDNCcQXfxovzxsmW1sycN4eYm31augUrGExkJ+PvL25K7Bvf//ifffvkScHICLl2St//wQ/L6SYwy+P34sWETKZYujSvZHmPxYsDBQYzd2Vn+2N9/J22clHR79si369YFMmZM3jkHDdJe01sXBwdREt3DI3n9ASLwrZw0smZN8s9LqZtaDQwYIM/WVqmAVau0PweVqlQR2eLKDPDNm8Ua4ZqTQvQVHS1e0+3bA9mzAyVLAtWriz+zZRMVCpSVMIiIiIiIiIjMaNy4cejQoYOszc/PDx07dkSUMSaHk0UpVKgQRowYgfPnz8Pf3x/Tpk1DVWX1UIWQkBCsWrUKrVq1Qs6cOdGtWzds376dgXBKtnQZ/D5w4IC5h0AUJ2dO7WxszWxvZfA7kZlTiWLwO+U8faodJElO5jcg/v0TKz1duLAIsJhSqVLa68frW/o8KgqYM0fe1qaNCAQBgKMj0Lev/PF//mHJ4ZQkSdrrfSe15LkmlQqYNw8YNiz+fbJnF1m2desmv78YytLnFy4Afn7GOz+lPqtWaZftHzECqFdPv+MrVhQTQDSrBgBi4kT37mLZCX1IErB1q5i41qGDCKB/+iTf59MnYO1aoHx5YPhw/c9N6VNkpJhwdu6cuAUHi8keRERERERERmZlZYUVK1agQoUKsvaDBw/i+++/N9OoKC3Ily8ffvzxR5w9exZPnjzBjBkzUD3m2m88QkNDsWbNGrRp0wYuLi7o2rUrtm7dirCwsBQaNVkSG3MPICG3b9/Gv//+a9RzPnv2DKtWrTLqOYmSrWJFedbspUtAt27iovmZM/J9K1VKXl8MfqecBw/k21mzisBecs2ZA5QrB3z+rPvx+fMBa+vk95MQa2ugRg15dvDJk0DHjokfu2WLmBigaeRI+fa338pLub99Cxw+bJwALCXu1i3tTH5j/d1bW4t1mBs1EqXvz58X73WZMgFdugC//AK4uxunrxgNGoiJRi9fxrWtWQMoyneRhXj/Xvs9pVAh7SUVElOjBrBzJ9C0KaA543jdOvHZuW4dkCuX7mMlSZRXHztWuzJHfCQJmD1bTHrz9RUZ4USACHhv3CiqBxw4oD2BIls2oHlz8RncvDlglS7nNxMRERERkQlkzJgR27dvR+XKlfH8+fPY9nnz5qFUqVLor0+FP0rXPDw88P333+P7779HYGAgNm/ejE2bNuFUAolUHz9+xLp167Bu3TpkypQJLVu2RMeOHdG0aVM4ODik4OgprUrVwW8XFxdMnToVn+ML8CSRJElQJXcNUSJjqlAB2LEjbjvmQvnDh9oBqGrVktcXg98px5jrfWsqUgRYtkxksyozy8eNE0HFlFCrlnbwWx8zZ8q3q1aNy/qOUbiwaNOc/LF1K4PfKUVZ8jxfPqB4ceP20ayZuIWGilvOnICNib6W2NgAnToBc+fGta1eLQLt/D5geX75RT7RARCThpLy48jLC9i2Tawdr1l94uhRUQFj2jQxWc3WVrSHhYnKBdOmiazchGTMqHsS06lTIoB54IB25jmlL9HRYtmPiRO1J41pevdOvKetXg0UKwaMGSO+IzAITkRERERERuDu7o5t27ahbt26CNeoVjZo0CDkzp0brVq1MuPoKC1xd3fHsGHDMGzYMAQFBWHLli3YtGkTTp48CUmSdB7z6dMnrF+/HuvXr4eTkxNat26Njh07olGjRrC3t0/hZ0BpRaq+IuLi4oKBAwfGvuglSTLKjSjVqVhRvn3hgsgyO3JE3p4rV/IDUAx+pxxl5ndy1/vW1KkTcPy4CJC4ugK1awMbNohM2pSiXPf72jXgw4eEjzl7Vtw0xVcmSblO87ZtLO2aUnSVPDdVkNjJCcid23SB7xjdusm3Hz4UWedkWa5fF6X1NbVqJSZaJFXjxmKCmqOjvP3tW1GlIlcuoH59oE4dUd2jQ4f4A99lyohg5osXInv3+XPxvq0MzJ85A7RrJzJ+KX26elVMAvvuu4QD30r37gE9eojvBVxHnoiIiIiIjKRq1ar4+++/ZW1qtRodO3bE8ePHzTQqSsvy5MmDIUOG4Pjx4wgKCsK8efNQt27dBBNXQ0NDsXr1arRq1Qqurq7o2bMn9uzZgwgul0kKKimVR4PfvHmDAgUKQKVSoVu3bsiZM2eSzxUREYHbt29jx38ZttHKjElKFQIDA5E3b14AQEBAANyNXf42NXr3DsiRQ5Q8jXHoELBkCbB+fVxb586izGpy+PkBRYvK2z58EAEoMq7WreUZ/WPGABMmmG88xhYWJtb91gzObN8uAk3x6dRJlG6NkTcv8OiR7sDngwciy13TpUuiUgKZTmioeD/S/HfdulWsy56WSZJ479OclDJkiPb685R2SZJYK/7Eibg2e3vgzh2gQIHkn//yZaBFi6RNGitaVAS5O3TQnY177ZoI0AcHy9v/9z9g6tSkjZfSJrVaLA3h45Pw5Ad7e7FvQvtYWQFDh4rvHqwiQEQmlC5/w1OaxtcsEVHSjR07FhMnTpS1Zc6cGceOHUO5cuXMMyiyKM+fP8fWrVuxadMmHDt2DGo9kqGyZcuGdu3aoVOnTqhXrx5sTJ1kQ0Zliu9mqf4VkCNHDgwZMgQRERGYaqSLfwsWLMCQIUOMci4io8iWTazlfeFCXNvOnaJ0qqa6dZPflzLzGxAX8hn8Nj5TZn6nBhkyiDVxjx2La9uzJ/7g99OnwObN8rYhQ+LP+C1cWAS//fzi2vbvZ/Db1I4ckQdTbGyAr74y33iMRaUSZYA1133esAGYMcP0WeeUMtaskQe+ARFANEbgGxDvPdeuifetDRv0OyZ/fuDnn4Hu3RN+nZUtK97f6tQRGeUxpk0TpdebN0/OyCmtePUK6NkT2L1b9+M1aohM8MaNxVIRkgQ8eSL2X7JEO9M7JpC+fbt43BLey4mIiIiIyKzGjx+P58+fy7LAP3z4gCZNmuDUqVMoZGnXPynF5cqVCwMGDMCAAQPw8uVLbNmyBRs2bMCxY8firez87t07/P333/j777/h7OyMr7/+Gp06dUKdOnVgbW2dws+AUoNUXfY8xo8//ohgZSZMMnTp0sVo5yIymoYN5dszZ4oMzBgqFdCyZfL7cXTULt3K0ufGp1aLjGZNxlrzOzVRlhLes0dewUDT3LnyNcozZQL69k34/Mr1y/fvN3yMZBhlyfNatSxncoy3t3z75Uvg4EHzjIWMKyQEGDFC3lagAPDTT8btx8VFVGTZuROoWVP3PlZW4rF168TknV699JtgUaqUCGLa2cnbv/lGlEcny3b4sJgEoSvwXayYWAP+5ElR0tzVVXwvtLISr/NBg4ArV0S1GV0Xmh4/Bho0APr0Ad6/N/lTISIiIiIiy6VSqbBo0SK0UVQIfPHiBRo1aoRnvM5MRpQzZ070798fR44cQXBwMObOnYtayqU4FV6/fo3Fixejfv36yJMnDwYPHozjx4/rlUFOliNNBL+zZ8+OEiVK4L2RLtZky5YNFZg5SKlNYuuR1qkD5MljnL647rfpBQeLdds1WeLMx6ZN5dtPnog1d5Xevwf++kve9u23QNasCZ9fGfw+dUr775WMR5LEBAZNTZqYZyymUKQIULmyvG31avOMhYzr11+1A8SzZokKFabQvLkIRD55IrLAp08Xk9a2bhXZuydPiqVKDK0qULWqyPbW9OYNMGyY8cZOqUtEBDBypAhOK7+PqVSiesG1a+LxBNY9i50kefOmqHBhb6+9z99/AyVLAitXyiejEZlKSAhw5ox4zc2YIZZ/+OMPYN48MYno/n0xYZSIiIiI0hQbGxusW7cOdRVVSh89eoSmTZsaLY5DpClXrlwYPHgwTpw4gcDAQMycORPVq1dP8JgXL15g/vz5qFu3LvLmzYthw4bh9OnTDISnA6l+ze8Y0dHRUKlUsNK1TiJZlHS79pIkAaVLA7du6X588WKgXz/j9OXlJS9VPWMG8P33xjk3CceOib/nGBkyAJ8+JXzhOi2SJJF19uRJXNuoUcCkSfL9Jk4Exo6N21apxAXPxLLhQ0LEsgCaH1UnT8afcUnJc+8eULy4vO3aNaBMGfOMxxRmzwaGD4/bzpQJePGC6+GmZTduAOXLy4N5zZuLwEpaJElAu3bAtm3ydl9fseY4WY6rV4HevcV68kqursCqVdqVgfR1/77I9FYuBRCjVCnx3a9rV9NNEqH058kTUcXg8GHg+HGx5E1ismcHatcW73utWwNZsph+nGR06fY3PKVZfM0SERlHSEgIvLy8cPXqVVl77dq1sW/fPmTgbw1KAU+ePMGmTZuwceNGXNBcVjYBHh4e6NSpE7p06YJy5cpBZWnX7NMYU3w3SzORZGtrawa+ybKpVGIdUV0KFBBlLo2Fmd+mp2u9b0v8EFWpgI4d5W3r18uzeD59EhmYmjp00K8MfJYsgKenvO3UqSQNlfSgzPrOnVtMyrEknTqJUsExPn0S6+FS2hQdDQwYIA9829uLSQ5plUoFLFokJv5oGjBAvhwKpV0BAcDAgUDFiroD340aiYlHSQ18A0DRosDRo8CCBdrL3QBismWfPoCzM9CmDTBliphgceaMKKF+/rz4vD18WJRi37IF2LhRfE5cuMDXIglPnohJGn36iO+6+fOLyj6rV+sX+AaAt2/F5/A334i17Nu2FWX+08YcfSIiIqJ0LUuWLNi7d6/WOt8nTpxA586dERUVZaaRUXqSL18+/O9//8P58+fx8OFDTJ48GeXLl0/wmKdPn2Lq1KmoUKECSpQogV9//RV3795NoRFTSjCwFiMRmVTv3uLC4uHDcW22tuLCpYOD8fph8Nv0Hj6Ub1viet8xOncGpk6N2378WKwbHVPKf8kS4PVr+TGjRul//po1RWZnDAa/TUe53neTJpY3aSNXLhFQ2rcvrm3NGpH9SGnPtGna7wk//ZT2l5lwdRVVWXr1imsLDATGjAHmzDHfuCiOWi0mur14IaqU2NsDmTOLW9asYvJCzHc3tRrw9wfOnRNB5G3bAF0XgezsgMmTRXUKY0z6tbISkyaaNxd/6lpP/PNnEXhMyiSgokXFZ32HDkD16pb3eWHJQkPFEj1v34pbdLT4zRFzs7EBrK3j/gwPF/u9eiWqCty+LSZJaFb+MYaICPH/Y9s2sdb94MFiAnDmzMbth4iIiIiMxtXVFfv370fNmjXxXGM5sh07dqBv375YtmwZs2opxRQsWBA+Pj7w8fHB/fv3sWnTJmzYsAE3NK8tK9y7dw+//fYbfvvtN5QrVw5dunRBp06dkC9fvhQcORlbqit7fubMGYSFhaFevXp8U0zA69evMXv2bGzduhX+/v6ws7NDsWLF0KVLF/Tv3x92dnZG6Wf37t1YtGgRLl26hDdv3sDNzQ1eXl4YMmSIydZNT/flpz5/Fhfud+wQF33GjROlAI1p6lSxvmSMr74CDh40bh/pXceOwKZNcds//qi9jqulkCSgXDn5Wt/16gGHDom1aosWBd69i3usWTNg1y79z796NdC9e9y2szPw8iUvshtbWJgoPaq5pvrGjSKoYWlWrZJX07C2FpOAXFzMNyYy3NWrQJUqQGRkXFvBgmLNY0sorSZJYqLGoUNxbSqVyMitVMl840rPIiLEuu4rV4pJFx8+JLy/g4MIaH/6lPga2yVKAGvXis9TU5AkMcHpp5/kE8qMpVIlMTmjdWt+PqdGL1+KyQ9794r3kMePU65vGxugSBFRTcbJSbxnv3kjJoq+epX48U5OIit88GDx24hSpXT/G57SHL5miYiM7/r166hTpw5CQkJk7SNGjMCff/5pplERCXfu3MHGjRuxYcMG3LlzR69jatSogc6dO6Njx45wdXU18QjTN1N8N0tVwe9hw4Zh3rx5AICWLVtim3KtQwIAnD9/Hm3atMGzZ8/QsGFDtG7dGmFhYVi5ciVu3ryJ8uXLY+fOncidO3eS+1Cr1ejfvz+WLFmC7Nmzo1+/fihQoAAuXryIlStXQq1WY/r06Rg6dKgRn5nAHyEpQBlMLFky/rXGKWmUpUwXLgT69zffeEzt779FyUtNa9eKEug7dsjbDV2z+/FjEdDSdPcuL4Aa2549cdn6gMgYfP1au/SyJQgNFZm1YWFxbVOmyCcFUer2/LnINPX3j2tTqcQas7VqmW1YRvfggVh6QHNSSsWKIoPY2tp840pvJElMmvHxMX61HAcHYPRoYMQI41b5iY9aLQKgc+YA+/cbv7T0V1+J7zxFihj3vGQ4SQKOHAHmzRMl7VOq5KSzs5gEWb+++L5XrJiYBKLL06dijJs3i4osEREJn7tRIxEEb9JEZKhTqsHf8JTW8DVLRGQaJ06cQKNGjfBF8zcsgD///BMjRoww06iI4kiShBs3bmDdunVYv349/DWvK8XDysoK9erVQ5cuXdCuXTtks8RrpWZm8cHvzJkz4+PHjwCArFmz4u3btwYdv3btWjg6OqJVq1amGF6q8PTpU1SqVAmvXr3C8OHDMXPmzNjHwsPD0bRpUxw5cgQVK1bEqVOnYG9vn6R+fHx8MGXKFDg7O+PMmTMorFGyee/evWjevDkkScKGDRvQwchZgfwRkgIOHQIaNIjbzpZNlDIk45Ak8XeqOdNx//7krd2Z2oWFidLuwcEJ79epkwiIG0KSgDx55AGHv/8Wa0qS8QwaJJZYiFGjhmWXmPf2FhM0Yri5iYkWSfzcJANIEnD6tFjTNeZHRuHCIou7Zk0gU6aEj//4EfDyAi5dkrf7+IiS0ZZm8mQRHNU0d64IAJHpBQUB3bqJ9bONycFBTBobMQLw8DDuufX16pXIBj5zRlRvefoUeP9elLi2sxPBRXt7MVZ7ezHh4sMHUeo9oUx2e3sRXO/bl1ng5nLypKgeZezXrS7ZswN16gB164qAt6dn0sr2h4SIz+V580RZ9YQ4OwPt2wPt2onPjYwZkzZ2Mhr+hqe0hq9ZIiLT8fX1Rdu2bRGt+M2waNEifPfdd2YaFZE2SZJw7tw5rF+/Hhs2bJCV7Y+Pra0tmjRpgi5duqBly5ZwdHRMgZFaPosPfhcsWBBP/ls3bMiQIZg1a5ZBx9+7dw+dOnVC6dKlMX/+fGS2wLXBOnXqhI0bN8LDwwP379/XCm4/fPgQxYoVQ3R0NKZNm4Yff/zR4D5u3bqFMmXKQK1WY+HCheivI1u1Z8+eWLlyJVxdXfHw4UNkSuxCtQH4IyQF3L4NlColbwsLS5mMo/Tg9Wvt8smPHgEFCphnPCll/XqgS5f4H8+RA7h2TQSyDdW+vcgKitG7N7B0qeHnId0kCcifXwQ+YkyaZNja7GnN+fNA1arytiVLtCsYkHGdOAEMGybWitUlQwZRgaB9e7FOsZOT/HF/f/GYMvBdpYo4t5GWfUlVIiJEKWzNslyZM4sKGG5uZhtWunDuHNCmjag0EJ/MmYEsWcS/04cP8ooSSjlyiPedtm3FLUcOow85RXz5Ikqn79olMuIfPdK9n7e3eF+1hGUI0opnz8Rktq1b9ds/UyYxYdPWVpQjj4oSf0ZHi/sxNxsb8XrNkQNwdxe/I0qWFOXuS5Y0zhr1MWIy1ufOFdWD1OqE97ezA6pVE2Px9BRjK1LEMivXpGL8DU9pDV+zRESmtXLlSvTs2VOrfdmyZejVq1fKD4goEdHR0Th27BjWr1+Pf//9F+80l/CMR8aMGdGyZUt07twZTZs2TXIiKqWD4PfEiRMxbtw4qFQq3Lx5EyVKlDD4HF++fIG3tzeuXr2KLVu2oGzZsiYYqXn4+fmhWLFikCQJY8eOxfjx43Xu17BhQxw8eBAuLi4IDg6GjY2NQf1069YNa9asQYYMGfDixQs4KS88Azh16hRq/VdWdNasWRg2bJjhTyge/BGSAt69E1kamh4/FsEvSr5z58RFuBg2NuJiuIH/F9McSRLrKK9erf2Yra0os1q/ftLOPXMm8MMPcdss1W9c168Dys/LGzfERWRLVr++uMAeo2hRMTlI33LSL18CK1aIyg6BgSJQW6OGyHa09L87Q0kS8OefYkKFvl897e1FadtmzUTw7OxZYPly7eBigQIic9WS1186dkxku2vq3BlYt84sw0kX9u4Vge/wcO3HatcW/8+/+kqsY6wpMlJkT797J26RkYCjo3h95spleZnQUVHAxo2i8kJAgPbj1asD27drTwok45IksRb999+L158uGTIATZsCjRuLCUPFiqX+iQlPnoiqNEuXGl6lKls2UVWkUCFx07zv5mZ5/xfNjL/hKa3ha5aIyPSmT5+O//3vf7I2lUqF1atXo2vXrmYaFVHiIiIicODAAaxbtw7btm3Dp0+fEj0mS5YsaNeuHTp37oz69esbHJNL70zy3UxKRSIiIqSaNWtKVlZW0t69e5N8nqioKKl+/fqSk5OTdOLECSOO0LwmTZokAZAASEePHo13vylTpsTud+DAAYP6+PLli5Q5c2YJgOTl5RXvftHR0ZKjo6MEQKpZs6ZBfSQmICAgdvwBAQFGPTf9R62WJHt7SRKXysTt9Glzj8pyrF4t/7stXNjcI0o5kZGSNGSIJFlZxT3//Pkl6fjx5J339Gn536mVlSR9/GicMZMkTZwo//vNl0+8T1i6vXvlzxuQpKVLEz8uMlL8nWXIoH18zOtzxAixHwljx+r+u0ruLUcOSbp719zPLmV8843289+3z9yjskx79mh/TwIkycNDknx9zT261Ck0VJIGD9b9/7RQIUm6d8/cI7Rc/v6S1Lhx/O+T7u6SNG+eJL1/b+6RJt3nz5L099+SVKWKcT47MmaUpDJlxGt2505+pzQC/oantIavWSKilPHLL7/Evt/G3KytraV///3X3EMj0sunT5+kjRs3Su3atZPs7e21Xs+6bjlz5pQGDRoknThxQoqOjjb3U0gTTPHdzIj1yZLP1tYWe/bsQe3atdG9e3dcvXo1SeextrZG27Zt8fHjR7Rv3x4fPnww7kDN5PDhw7H3y5UrF+9+5cuX13mMPi5evBj795VQH1ZWVihTpgwA4MyZMwhLqMQjpT4qlXapVM31lCl5Hj6UbxcubJ5xmIONjVjnMyAA2LNHlCG+f19kySVH2bLykppqtSihTsaxc6d8u2XL9JER1aiRKCetafRosXRBfB4+FGubjhkTf3ljtRqYOhXo2FFkfaZ3S5YAEyZotxcuLNatHjRIVMvQN+M+RsGCYl36YsWMM87UbupU7TK+ffrEn+VJSXP2rO6M76++EuX6W7Qwy7BSPUdHUaZ682ZRCl7Tw4eiKsbZs+YZm6VSq4GFC0WlkX37tB93dhbfyfz8xPtsliwpP0ZjyZAB+PZbUV3p4UOxNEuVKkkvt/75s6h6M2+e+D+dI4eoprFvX8Lr2RMRERGRQX755Rf4+PjI2qKjo9G5c2f4+vqaaVRE+suYMSM6dOiAzZs348WLF1ixYgWaNGkC6wSuYb18+RLz589H7dq1kT9/fowYMQKXL1+GlHqKcKcLqSr4DQBOTk44ePAgOnbsiFq1amHFihUGHR8UFITZs2fjl19+AQC8evUKW7ZsMcFIU97NmzcBiL+jLAlcvIgpDwCI9buT0ofyPAn1o1arcffuXb37CAwMTPD2jEHYlMHgt+k8eCDfLlTIPOMwp9y5RbniWrVEyfPkypgRUC6FoVzzl5Lm5UvtgER6Ce6oVMCUKfK2ly9FOWPlGqOSJIK4ZcuKEtv62LoVGDrUOGNNq65eFQFupYkTxZrVc+eK4MOZM8CLF6K0bZMmCS8TYW0NfPedCESml8A3IMpGK1+vAQF8jRnT06e6A9/du4sy6MolY0hbu3ZiUoqHh7z9zRux1MSuXeYZl6W5dw+oVw8YOBD4+FH78a5dgTt3gCFDAAeHlB+fKRUsKJbQOHdOLC2wcycwdizQtq2YVJWUgHh4OLBhg/j8yZ8fmD4dsJAJ9ERERETmpFKpMGnSJAwfPlzWHhUVhfbt22OfrkmcRKlUlixZ8M0332DPnj149uwZFixYgDp16iR4TEBAAKZNm4aKFSuiePHi+OWXX3Dnzp0UGnH6luqC3wBgY2ODefPmYfXq1RgxYgTatGmDoKAgnfsGBQVhzZo16NevH4oWLQoPDw/88MMPsgXp3xq6PlgqFB4ejufPnwMAXBNZ01LzcX9/f4P60dzfVP3kzZs3wVuVKlUMGjMlEYPfppOeM79NqWJF+fbly+YZh7lJEuDrK9ZXb9wYGDAAOH486efbtEm+BnOmTNprC1uyRo2A1q3lbdu2ib/XiAixfeeOyPrs1w9QrvNjZSX+LdauFWve2tnJH1+0SFxQT4+iooCePeP+HmMsXiwy7JWzZHPkAHr3FlUjYtZT//prkZ3v6Sle7+PHiyzGRYu0s0vTg969RQBR06pVwJo15hmPJfn4EWjVSkzC0NStm1hrnut16c/TU0yqqlBB3h4WJt5vly83z7gsQXg48PvvQJkyuj/7c+cGduwQ7wnOzik/vpSWOTPQvLn4bNiyRXw+hIWJqkN79ojJVd9/LyralCyp30SAwEDgf/8TEzhGjQL++w1OREREREmjUqkwY8YMDBgwQNYeERGBNm3a4MiRI2YaGVHSubi4YMCAATh27BgCAgIwffp0VKpUKcFj7t+/j99//x0lS5ZEuXLlMGXKFIPjd6S/VH0Vp02bNqhRowYGDRqEkiVL4ueff0bdunVx48YNnDp1CkePHsXjx49j99csG6BSqSBJEqysrFCvXj1zDN+oQkNDY+87JPKjPUOGDDqPS039UCrA4LfpMPPbNCpUAP75J247PWZ+f/wIdOoE7N4tb1+0SLQvXSpKzxpi7Vr5duvWgL198saZ1ixcCJw8KTITY/z1l8hQzJVLTLTQVZqoUCEReKxeXWx36SKyxpo0Ab58idtv4EARPE8PgQhNc+dqL0/w/fdiEkFismUDvvlG3CiOlZUIHJYuLc9K7NNHZMEn8kOL4qFWi+xu5eu1USPx921oSX4S3zOPHQPat5eX5I6OFuWrnz8XE4bSwxIbxqBWA+vXAz//rD3JMkafPmJ5hKxZU3RoqY6dHVCkiLgpqdXiN8+DB8Dp06Kiw+nTYrKWUkgI8McfwMyZ4u925EjtigZEREREpBeVSoV58+YhPDwcy5Yti23/8uULWrRogX379qFWrVpmHCFR0rm7u+OHH37ADz/8gAcPHmD9+vVYt24dbt++He8x165dw7Vr1+Dj44Pq1avD29sbHTp0QM6cOVNw5JYtVWZ+x7h79y7279+P3Llzw8rKCiNHjkTVqlXRp08fLF++HI8ePYIkSbFBb5XGxRNJklCqVCls3LhRtgZ2WqW5pradMqtMQfPxz58/p7p+AgICErydP3/eoDFTEjH4bRqhoSJjURMzv41Dmfl9+3b8ay5boshIUY5cGfiOsWGDKIEaEqL/OR8/Fhd9NXXtmvQxplVubsC6ddqZnUFBYpKFrsB3v36ipHdM4DtG3bqiPLqmt291r3ltyQIDRZBGk6enCCRQ8nh4APPny9u+fBHluuMLilHCxo4VFR80FSsm3leZ8Z10jo6iUkn37tqPjR4t3keVJeZJLixMTPwrVw7w9tb9fzx/fuDAAfHZk94D34mxsgLy5BGf1aNGiQkaz5+LyVrKSgUxwsPFe26hQqL6hp9fyo6ZiIiIyEJYWVnhr7/+gre3t6z98+fPaNasGc6dO2emkREZT+HChTF27FjcvHkT169fx6hRo1CgQIEEjzlz5gwGDx6M3Llzo2nTpli9ejWTTY0g1QW/N2zYgDZt2iBbtmwoVaoUvvnmG8ybNw8fPnyIDXTHF+zOlSsXOnXqhAULFuDevXu4ceMG2rZta66nYlSaWdYRyvKhCpqPZ8yYMdX14+7unuDNTRmUJdNg8Ns0lBclVSogkQ840lO5cvIMseho4Pp1sw0nxf32m7hIm5CLF0UGuK4MJl3Wr5dv58ghMh3To4YNRRZ8YlnvHh5ifdHFi+PPsu/WTWQ7alqwIH0FJseO1V6HdtEi7bLwlDTduonS/JqCgoDatcXEINLfqlXA5MnytmzZRNCWgcTks7UVSxiMGKH92NKlQJ066eu9MTGRkeK7zYoVYjKam5uogHHjhva+1taiPPfNm0CDBik+VIuRIwcweLCY7Hb6tFg7XFdFgqgoYNkyoHhxUenl9Gndk+OIiIiIKF7W1tZYsWIF2iuumYSGhqJx48a4nF6XOCSLo1KpULp0aUyaNAkPHz7E2bNnMWzYsARjX9HR0di7dy+6d+8OV1dXdOnSBb6+vonG6Ui3VJXK0KtXL/zzX0lbZQlzJUmSoFKpUKtWLfTo0QN169ZFEV2lzSyEk5NT7P0vmqVUddDM3tY8LjX1Q6kAg9+mobyA6+6u3/qClDhHR5GJd/duXNulS0DVquYbU0q5e1c7YzZbNqBzZxHAfvcurn3fPmD4cLHOZUIkSXud4A4dRKAiverQAShYEBgyBDhzRv5YliyifPmYMWJd9MRMnSrWXY35ghoZKTId08P633fvioCipt69gZo1zTMeSzV7tgh0a06KefYMqFxZvF8MHBh/ue5374Bbt8T+Hz8CGTKI7NGSJdPXWuqnT4tyxppsbIDNm3WXTKaksbIC/vxTfPf84Qf5Y+fPA2XLitds//6Wm2n/5Yv4jnjvHhAcLP4Pat5evBAZyMHBcZ8bCalWTUyqsoAKZ6lK9epi7fB798Tn+D//iM9vTTEl6NevF++ZvXqJNcWLFmUZfyIiIiI92NjYYO3atYiIiMCOHTti20NCQtCoUSMcOXIEpUuXNuMIiYxLpVKhatWqqFq1KqZPn47jx49j/fr1+Pfff/H27Vudx4SFhWH9+vVYv349smfPjg4dOsDb2xs1a9aElVWqy2lOlVLV1YVNmzbFBrVj1uwGRKDb1tYW5cuXR40aNVCzZk3ky5cPgwcPxtWrV9G/f3+LDnwDgL29PXLlyoXnz5/jxYsXCe6r+Xj+/PkN6kdzf1P2Q6mAMvj98qXIaLDUi44phet9m1bFivLgd3qZETpqlMh0j2FjI9aprFIFGDZMZHu+ehX3+Pz5YlKArlKzMU6eFMEvTemx5LlSxYrAqVMik+78eRGEKFQIqFULMKSaSv78Iog+fXpc28aNwK+/AiVKGHvUqcuvv4rgQIxMmYBJk8w2HItlayuCtA0aiBL8MT5/BoYOFYGbr74SS2+oVCIz/MED8doODo7/nE2bimBO69aWHcjx8wNatdIONM6bJ5aQIOP7/nsxKbBnT/E6jfHpk3i/nDtXTBLq0MGw99vUKCoKOHxYVAo5elR83mq+LyaVpycwcaIItlry/09zK1ZMVCb45Rdg2jTgr7/EBAal27dFVYMRI8R3hZo1gdKlRVA8Z04ge3YxuSg6Ou4WESFu4eHiFnNfpQKcnMQEJCenuBsrphAREZEFsrW1xcaNG9GmTRvs3bs3tv3Nmzdo0KABjh07huLFi5txhESmYW1tjXr16qFevXqYO3cu9u/fj7Vr12L79u3xLi389u1bLF68GIsXL0bevHnRpUsXeHt7o3Tp0joTh0lIVVEuFxcXPH36FJIkwd7eHnXq1IGXlxdq1qyJKlWqwEGRPXnq1CmMGzcOPXr0wJEjRzB37lytfSyJp6cnnj9/jtDQUISEhCBLliw69wsMDIy9X6pUKYP7iBEQEJDgvjH9WFlZ8cMoLVIGvyVJBMBz5zbPeCyFMvObwW/jqlhRnq186ZL5xpJSbt/WXot2xAgR+AbEBdpt24D69eVrp/bvL/6+SpbUfd7Zs+XbMRdtSVyALl1a3JJj9Gjg77+B9+/j2mbM0F4T3JLcuKGd3T5smAgCkPHlyAEcOSIC1mfPyh8LCBClkw0RGSkqFuzYISZ8zJljmZmlr14BzZoBb97I24cNA777zjxjSi86dBBlo9u21f7OdP++CIwPGQJ4eYks3AIFRPl5Kyvx3qwZNIy5WVmJIGPu3GJykTnL1fv5AQsXAuvWiUxuY2nUSHyut24tni+ljLx5xfel0aOBmTPF5ELlkh4xHj40fgl/Fxfx+4yIiIjIAtnb22PLli1o0aIFDh8+HNv+8uVL1K9fH0eOHEGxYsXMOEIi07Kzs0OLFi3QokULfPz4Edu3b8fatWuxb98+RGsmQWkICAjAn3/+iT///BOlSpWCt7c3unTpwuRUHVLVL+eq/5Wu7dOnD168eIF9+/Zh1KhRqFOnjs6gtrW1NSZNmoRDhw5h3759qFy5Mu5qZgRamPr168fev6qZ4aOguTaG5jH6qFSpUmwJ84T6UKvVuHbtGgCgevXqsrXCKY1wcdEuhxpfJpilefVKlDGcMQO4cMG45/bzk29beFWKFFehgnz75k3dmTiWZNYs+Xa2bMBPP8nbatQQGUqaPn8WQYZPn7TPefOmKOupafBgXlA3tuzZRelpTatWifK2lkpZnj9LFrEmLZlO1qzAwYPGD9qePCkm2SxaZFnr2n7+LDK+lZVamjYVGZ5keqVLA1euxP+aDQ0Va66PHi3WVm7aFGjcWASAW7QAvv5aVCrp1UsEhPv1A9q3F5+F2bKJ5Sv69BGfc5qTwkzp8WPg229F8H3mzOQHvvPnFxMEFi4UE1n27RPb/Jw2D1dX8fn29Kn4s3DhlOmXS4sRERGRhcuQIQN27NiB2rVry9qfPXuGevXq4f79+2YaGVHKcnR0hLe3N3bt2oVnz55h/vz5qFGjRoLH3Lp1C6NHj0aBAgVQs2ZNLFiwAK80K4Omc6nq13OTJk0AABMnTkRmA9YbrFu3Lq5fv45ixYqhcuXKseuGW5r27dvHljE4dOhQvPsdPHgQAODs7AwvLy+D+rC3t0erVq0AAOfOncPHeGa2nz17NvaxDh06GNQHpRJWVuJCjqb0sO739etAqVLAN98AP/4oLuyPG2e8C/sMfpuWMgMxKkoEci3Vhw/A6tXytgEDREBRqVs3EQDQdPu2CC5ovr4lCfDxkbdlziyCCGR8gwfLS5aGh4vMMUvk76+d9f399yIYRaaVKZMIUh85Iio+6MPWVnxGVawoAjm6lj2JihLvOQMGyJdeSKs+fgSaN9fOki9fXrx2ufRLynFyEq/Zw4eBSpWMe+7Hj0XVja+/BnLlEgFyUy2TEhAgPmeLFgWWL0/8/0nu3KKqQqtW4rvo8OHAb7+JIPeWLWId+rdvxXPYskWM3d3dNGMnw8VMQLx3Dzh0SEyyMGXVLAa/ycxev36NcePGwdPTE46OjsiePTuqV6+OOXPmIEK5bIiBjh49GrvkYWK3aZycRkRk0TJlyoRdu3ahWrVqsvZnz57By8uLAXBKd1xcXDBw4ECcOnUKjx49wsSJE1Eyvsqe/zl9+jQGDRoENzc3NG/eHGvWrIk3tpduSKnImzdvJDs7O+nJkydJPseiRYukDBkySL1795bCw8ONOLrUoWPHjhIAKX/+/Dqf38OHDyVra2sJgDR16lStx2/cuCEVKVJEypMnj3Ts2DGdfdy4cUOysrKSAEiLFy/WuU+vXr0kAJKrq6v08ePH5D0phYCAAAmABEAKCAgw6rlJoWJFSRIhMHGL59/bYrx6JUm5csmfc8xtwYLkn//TJ+3zXruW/POSXNGi8r/jRYvMPSLT+ftv+XO1tpakoKD49//8WZLKltV+Hfr4SJJaLfb55x/tx3/9NUWeTrrVq5f879vZWZK+fDH3qIxvyBD588yYUZLevDH3qNIftVp89syeLUne3pLUqpUkNWsmXoe//SZJGzZI0q1bkhQRIT/u/XtJWrZMkgoU0P052a2bJEVFmec5GcOzZ5JUrZr28/LwSPh9lUxPrZakrVslqUkTSVKpdL/+jHGrX1+S9uyJ+zxMjuBgSRo8WJLs7BLus1IlSZo4UZJOnpSkDx+S3y+lPmq1JF2+LElz5khS376SVLWqJLm6SpKtbfyvC5VKkhwcJClLFknKmVOS3N0lKXduSXJykv8fqFXL3M9Ob/wNb3nOnTsnubm5SQCkhg0bSvPmzZOmTp0qeXp6SgCk8uXLS0HJ+Pw8cuRI7GsmsZuua1vJxdcsEVHq8+7dO6ly5cpanwO5c+eW7t27Z+7hEZmVWq2Wrl27Jo0cOVLKmzevXt+hMmbMKHXp0kXy9fWVIpTXgFIZU3w3U0lS6qpj2K5dO3Tq1AmdOnVK8jlOnz6Npk2bomzZsti1a1dsGW9L8PTpU1SqVAmvXr3Cjz/+KJsBGx4ejubNm+PQoUOoWLEiTp48qVUuvkuXLli/fj0AUa789OnTOvvx8fHBlClT4OLigrNnz6JgwYKxj+3fvx9NmzaFWq3Gxo0bjZ75HRgYiLx58wIQaxi4M9vBdFq2BHbujNv+9Vfgl1+Md/4zZ4CRI0VWTMGCwPTp5l07dMSI+EuaZs4M3L2rvRa6IW7cAMqUkbd9+gRkzJj0c5K2Ll2A/97HAAB9+wJ//WW+8ZhS3brA8eNx2y1birV4E+LnJzI5Q0Pl7Z06iXKskyfLy8DmzCnWWdWVTU7GcesW4Okpb1u/XvybWIrXrwEPDyAsLK5t2DDtsv2U+n35Avz8MzB1qvZj3t5i2ZCULL388qX4fA0OFq+vLFnEZ3WZMvqv7XzgANCjh3Yp6mzZgBMnREUYSh2Cg0UFg5MnxefZ06fiNRkdDajVomKBgwNgbx93i4wU67c/fSqqFSSmdGmxHEOnTuJ4QwQFie+zCxfGv+xKxoxiyYvevcX65pQ+SZKoNhEZKd4zra3Fzc5O/PlfRTctarVYnuHDB3E/jfwW5m94y6J53Wn48OGYOXNm7GPh4eFo2rQpjhw5gooVK+LUqVOwN/S9FCLzu169eli5ciWqVKmS4L45c+ZE9uzZDe4jIXzNEhEZhyRJuHTpEjZt2oTHjx/jw4cPCA0NRWhoKMLCwuDi4gJ3d3fZLW/evPD09NQZs3n//j0aNWqEC4plKnPnzo0jR46gaNGiKfXUiFIttVqNU6dOYc2aNdi0aRPevn2b6DE5cuRAhw4d4O3tjRo1asAqlS2pZZLvZkYJoRvRgQMHpHnz5iX7PNOmTZNUKpXUqFEjI4wqdTl79mzsDNzGjRtL8+fPl6ZNmyaVLl1aAiCVK1cu3hm4MZnjAKRq1arF20d0dLTUp08fCYCUI0cOafTo0dJff/0lfffdd5KdnZ1kY2MjzZo1yyTPjzNwU1DfvvIshO++M965z5wRWX+a58+aVZJu3jReH4Z49UqSMmRIODtn5Mjk9bF5s/x8efIYZ+wkN3WqdlaVJXrxQjsD7t9/9TvW11eSrKz0y4TbuNG0z4OEunW1MxAtya+/alcp8Pc396goOTZskCR7e+33jBEjTN93SIh4r1dWqFHeChaUpA4dxL7HjklSaGjcOT59kqQdOySpaVPdxzo7S9LVq6Z/LpRywsPFv+nMmZLk5ZX455+LiySNGiVJjx4lfF61WpKuXJGk3r0TzuZ1cJCk77+XpOfPU+LZEqUq/A1vWWKuG3l4eEhfdFQrevDgQWzFwWnTpiWpj5jM7yNHjiRztEnD1ywRUfJERUVJc+fOja0IYuhNpVJJJUuWlHr06CHNmTNHOn36tPT582dJkhLOAL9//76ZnzlR6hIeHi7t2LFD6ty5s5QhQwa9/v95eHhIP/30k3T9+nVzDz+WKb6bpbrgt7EMGjRIUqlUkpWVlXT8+HFzD8foXr16JY0ZM0YqWbKklClTJilr1qxSlSpVpFmzZiVY7v3atWtS4cKFEyx7rmnXrl1SixYtpFy5ckn29vZSvnz5pB49ekiXLl0y5tOR4Y+QFPTzz/KLdq1aGee8ERGSVKiQ7guDFSoYp9ykoebN0w7M1Kwpb8uWTZKSU8Z/yhT5+erWNdrwScOhQ/K/Zzs77fK9lmDpUvnzzJRJksLCDDs+sfKxAwaY5/9jerRmjfbfv6X8aPv0SZJy5JA/t27dzD0qMoa9e3UHwOfONU1/4eGSNGmSmCynz+QdXbcsWbRfj8pb3ryi9DtZtsePRal/V9fEXzfly0vSDz9I0sqVkrR7tyiPvmyZKG1eokTCx9raStKgQSyfT+kaf8Nbjvv370sqlUoCII0dOzbe/Ro0aCABkFxcXKTIyEiD+2Hwm4go7YqOjpZat26dpKB3Qjdra2upbNmy0tChQ6VVq1ZJxYsXZwCcyAChoaHSqlWrpKZNm8ZOVEzs5unpKU2ePFnyN3MCiym+m9kYkiWeVvj7+2PJkiVQ/VdK7OLFi6hdu7aZR2Vczs7OmDBhAiZMmGDQcWXKlIGfn5/e+zdr1gzNmjUzdHiUVuTOLd9+9sw45123Dnj4UPdjly+L8qONGhmnL31t2CDfbt8e+P13oFixuLZ374B//wW++SZpfSj/bxUpkrTzUMKUpfMjIoDbt4GyZc0zHlPZulW+3bSpKPWqr969RUng3r2BkBDtx/v1A+bMib/sJhlXu3ZAjhyiNG+MJUuAP/8035iMZdky+fMCxDITlPY1bgxs2yaWXNAsJz10KJAnD9C2rfH6unwZ6NULuH49eefR9X6nqXFjYPVqwNk5ef1Q6pc/vyjhP3IksGqVKFd+757ufa9cETdD2NiI1+zYsWLZByIiC/Dvv/9CkiQAQIMGDeLdr2HDhjh48CBevXqFo0ePJrgvERFZllmzZmH79u1GP290dDSuXbuGa9euxbtPcHAwvLy8cPToURThdVciGUdHR3Tr1g3dunXDy5cvsWnTJqxZswZnzpyJ95ibN29i1KhRGDVqFGrWrAlvb2906NABzhZwzSR1FXY3ku3btyMyMjJ2O1OmTGYcDVEqplzf2ljB7xkzEn48pdeADQ4Wa3pq6toVKFoUaNJE3q4MkhuCwe+UkS2buKCt6fJlswzFZEJDgYMH5W1JCTJ9/bWYGODjA1SoABQuLM6zezeweLG4cE8pw8FBe2LN8uXy9dfToshIYNo0eVvTpmI9ZrIMTZqIiRqaJEl8jp4+bZw+li0DqlePP/CdKRPg6QlUrSrWULa1NbwPV1exTvPu3Qx8pzcODkDfvuLzcPt2wMsreeeztwcGDBCB9L/+YuCbiCzK4cOHY++XK1cu3v3Ka0xI1jwmOSIiIhAWFmaUcxERkWk8ffoUo0aN0mrPly8ffvzxR/z5559YuHBh7FrE8+bNg4+PD7p16wYvLy8UKlQI1tbWyRpDcHAwihcvblCCH1F6kzNnTgwaNAinT5/Gw4cPMWHCBJQoUSLBY06dOoWBAwfCzc0NLVq0wNq1a/Hp06cUGrHxWeRV72rVqsHW1haRkZFwc3PD119/be4hEaVOyuD38+eAWg1YJWNezN27gHKGXsuWgK9v3PaBA8D79yIrNSUog4iZM4vMLwDo3h3Yu1c+ttevk3Zh/MED+Xbhwoafg/RToQLg7x+3HZMxaCn27pUHRW1sgKRW4cidG5g8WdzIvPr1k08Oev1aZNV26mS2ISXbxo3Akyfytp9+Ms9YyHR69gSePgV++SWu7csXoEULMbmsVKmknTciAvj+e2DBAt2Pt20LDBoE1K4N2NnJj7t1C7h0CbhwATh/HrhxA4iOlh9vZQXUqiUmAn37LeDomLRxkmWwsgJatRK327fF627dOuDtW/2O9/AQ3xsHDwZy5TLtWImIzOTmzZsAACcnJ2TJkiXe/fLmzRt7/9atW0nu7/Tp05g5cyYuXLiA58+fQ5IkZMmSBTVr1kSfPn3Qpk2b2KqORERkfrt27UJERETstkqlwvr169G+fXtY6Xk9OSwsDNeuXcPFixdjb3fu3IFardZ7HGq1GkWLFkWfPn0wYsQIFC1a1ODnQpReFCxYEGPGjMHo0aNx/fp1rFmzBuvWrUNgYKDO/aOiorBr1y7s2rULGTNmRJs2beDt7Y2GDRvCNinJCGaikmLqGVmYx48f486dO6hevTqyZctm7uGQAQIDA2N/SAUEBMDd3d3MI7JggYGAxo9WAMDLl4CLS9LPOX68KDEZI1cuERDPmVNcrI6xdi3QpUvS+zHEN98A//wTt92mTVxJ6Y8fxdg0Z5j/84+4uGmIz59FZpqm69eB0qWTNGRKxMSJosxojBo1gFOnzDceY+veXZTljdGoEbBvn/nGQ8bj5QUcOxa3Xb8+cOiQafuMjhaZusbO9JcksdzAjRtxbdWqiWxgXqS0PJIksmf//lveniePeP/Nl8+w8z1/DnToAJw8qf1YmTLA0qVA5cr6n+/zZ+DRIxHIjIgQE/w8PAAnJ8PGRelLVJR4DR45IsqeP3wIfPgg2nPmFK/r6tWBunXF+1tyJogSWTD+hrcM4eHhcPhvmaXChQsnmFH37t07ZM+eHYBYXi+hErW6HD16FPXq1QMAVKxYET169EChQoUQGhqKffv2YdWqVYiOjo7NOnIy8PM8vou5MZ49e4YqVaoA4GuWiMgQU6dOxciRI2O369evj0NGuKbx8eNHXLlyBSdOnMCBAwdw6tQpWWXfxJQoUQJt27ZFmzZtUKlSJU6cIkqEWq3GiRMnsHbtWmzatAnv3r1L9JgcOXJg586dqFatmtHHY4rfExaZ+Q0ABQoUQIECBcw9DKLUzdVVBCg058A8e5a84LdyzZf27YEsWYAGDUSp0Rg7dqRM8FuStANLX30Vd9/RMW5N0xh79xoe/FZmfQNAoUKGnYP0V6GCfPvaNRHgS2bppFRBkrSrFbRubZ6xkPH16ycPfh8+LJZMMPYyCcHBwMyZ4j35wQPxXl+0qFh7fMgQ42Qt7tkjD3wDIuubPzItk0olyoY/eyb/PA8KEhN0jhwRlSb0cfasyMYODtZ+7PvvgSlTDC9tnjGjKI1OZAgbGzEpKbml0ImILEBoaGjs/ZggeHwyZMig8zhDDR06FDNnzpRlC3bu3BmdO3dGixYtsHPnTnTt2hW+mpXk9JBXOcmfiIiMwk6zIhcAY+VVOjo6onbt2qhduzZGjx6NT58+4cSJEzh48CAOHDiA6/EtkfWfO3fu4M6dO5g0aRLy5MmD9u3bo2vXrqhcuTID4UQ6WFlZoW7duqhbty7mzp2LvXv3Yu3atdixY0e8y9B8/PgRJUuWTOGRJh2nrhOlZ7a22uW9k7Pu95s32msvt2sn/lQG744elQfdTeXxY3FhXpNm8BuIK4EeY/9+Uf7dEMrgd5484kI8mYYy+P3pk/aa62nVnTsiI1JTo0bmGQsZX7t2QI4c8ra//jLe+SVJrOdepIhYi9vPT7Sp1aIKx6RJYkmGxYuT9x4sSdql9IsXF+WEyXLZ2gKbNolqG5ru3xdt9+8nfLwkidd7nTragW8HB2DVKrE0QBoqo0VERGQpNC90KoMbSpqPf/782eC+qlWrBn9/f8yaNUtnmdzGjRujf//+AICdO3diu3KSPRERmUUmRdXLu3fvIioqyiT9NGnSBNOmTcO1a9fw/PlzrFmzBk2aNEn02KCgIMyePRtVq1ZFkSJFMG7cONy5c8foYySyFHZ2dmjVqhXWr1+PFy9e4J9//kHjxo1hrUgya9myJTJnzmymURqOwW+i9E657ndygt9HjsiDKRkyxF0g/6+kWaznz0VpSVM7d06+7eIiAjSalMHv16+1g/iJuXtXvm3sLE6Sc3XVzjA09N9MH9HRooxucv5fGEpZqcDDg1UELImDg1iKQdOyZfKlF5JKkgAfH6B/f1ECOj6fPol9evZMer/79mmXqx45kiWB04OMGYGdO7WzrJ88AapWFUs26JpY8fQp0LIl8N13gLJ8nYeHKJ3erZvpxk1EREQJ0szm1lzPVRfNxzMmYdK3g4MD8uXLl2A2Xu/evWPvL1u2zKDzBwQEJHg7f/68wWMmIiKgatWqsu1nz54ZXJ0jKVxdXdG1a1fs2bMHz5UJIwl4+PAhJkyYgJIlS6J8+fL4888/8fTpUxOOlChtc3JyQvfu3bF3714EBQVh7ty5sWXOvb29zTw6w/AKJVF6Z8zgtzJoV7s2YG8v7hcuLAKWmk6cSHpf+lIGv6tW1S7JW6AAUKyYvG3vXsP6uXVLvl2ihGHHk+GU2d/GDH6r1cD8+SKDv1AhEWivUAE4ftx4fcRH+f+ofn2WkbY0330n3377VmTTJockiXLRf/6p/zH//AO0aCGC4YZQq4FRo+RtHh5AGvsSTMmQLZuYAKGc6PX+vVg25KuvxOvr3DlRer97d/E9YNcu7XPVrw9cvKj9nk5EREQpSnNd7S9fviS4r2aWuKHrceurdOnSsP/vesLp06cNOtbd3T3Bm5vyOggREemldOnSWgHwhQsXpugYXF1d8fbtW1Qw8Dfk1atX8dNPPyFfvnyoU6cOFi1apNc6x0TplaurKwYPHowzZ87g4cOHaNq0qbmHZBAGv4nSO2MGv5VZgJrlxVUqEQzXlBLBb+WM7ipVdO+nzP7et8+wfm7flm+XKmXY8WQ4UwW/1WqxLvPgwcCLF3HtV66I1/S6dcbpR5foaLEkgCZlmX5K+4oWBRo2lLctWJC8cy5YAMyerd3+7bciAHnqlMj0Vjp8GGjWDPj4Uf++Nm4Erl6Vt/32G5BIeUyyMLlzi8/9SpW0HztyRFQ4qFYNaNNGZIMrs70B4H//E5+3Li4mHy4RERElzN7eHrly5QIAvND8HaSD5uP58+c3yXisra2RPXt2AMCbN29MUlaXiIgMN2DAANn2gQMHcOPGjRQdQ7Zs2XDgwIF4A+CJrfN94sQJDBgwAG5ubujSpQsOHDiA6OhoUwyVyCIULFgwdlJiWsHgN1F6Z6zgd0iIdvazMthds6Z8+9KlpPWlr8hI7YCoYnZiLOWaMWfOiAw2fURHa5c9Z/Db9HQFv42xjvwffwB//637sagooFcv05RYB8R5Q0LkbfXrm6YvMq+BA+Xb586J7NekuHhRZH1rsrICVqwQr+UqVcQSFMuXiwxzZXbO8eNirW59SqC/fw/8+KO8rWRJkdlL6U/OnGICRdeuhh2XKxewdSswdSpgY2OasREREZHBPP9b1iQ0NBQhyt8lGgIDA2PvlzLhb1+1Wg1ABDF0rQ1OREQpr2PHjsiWLZusrW/fvikePM6ePXu8AfA8efJg3bp1GD58eILVPsLDw7F+/Xo0atQIBQoUwM8//4xHjx6ZcthElEL4zZEovTNW8Pv8eXng0c5OOzipzA67dQtIpJxasvj5AeHhCY8hRt26cSXaARHQ1rfE9aNH2s+DwW/TU76+QkKAx4+Td85r14Bffkl4n/BwoEcPEQg3NmXJ8+LFtdc2J8vQogXg7i5vmzbN8PO8ewd06KCdVbtqlfba4gDQvj1w7BjwXxZNrCNHgHbttN8zlUaMAIKD5W0TJgDW1oaPnSyDkxOwZg3w77/a3ymUHByAQYNEtZQ2bVJkeERERKS/+hoTb68qK/1ouKwxGbi+gZN1Q0JCMGHCBBw7dizB/SIjI/H27VsAQM6cORn8JiJKJTJkyIAhQ4bI2s6dO4cFya1olwQxAfDy5cvL2gMDAzFixAgMHjwYAQEBOHToEHr37o2sWbPGe66AgACMHz8ehQoVQr169fDPP//gk6HLxBFRqsFvjkTpnbGC32fOyLcrVJAHkwGgbFn52sXR0YApy+LcvCnfzpNHO+ATI2NGkRmpSRmIjI8y493FhSVcU4K7O+DsLG+7cCHp55MkYNgweVDbygpYuxbo21e+761bwF9/Jb2v+Bw+LN9myXPLZWMDKEqFYdMm4MED/c8hSaISgb+/vH3EiIQzccuXF6+1HDnk7Xv3Ah07xj8pac8eYOlSeVujRgxikvD112Iy2IoVopKAu7v4bHVxERPM/vgDCAgA5s0Ta4YTERFRqtO+ffvYUrGHEvg9fPDgQQCAs7MzvLy8DOrj3bt3GDduHNYlspzUpUuXEPnfBM9atWoZ1AcREZmWj48PihQpImsbNWoUnj59muJjyZ49Ow4ePKgzAF6vXj34+/ujfv36WLp0KZ4/f45t27ahffv2sLW1jfecR48exTfffAM3Nzf069cPl0xdvZSIjI7Bb6L0TlfwOymlo5VBx2rVtPdxchJr3WoyVfloQDuw/l8Jt3gpA41JDX6XLKnfcZQ8KpV2Jv+5c0k/3759IiNWk48P0KULMH++mLyhaeLExLNkDREeLtbP1cSS55ZtwADA0TFuW60WZaD1NWsWsH27vK1mTfHaTEzZssCBA4By1vOOHeK98NUrefuVK+L/giZHRzEJJJG1tCgdcXAQFQe2bxeB7k+fgJcvgaNHgZ9+0p6wRERERKlKkSJF0KFDBwDAqlWrEBERobXPo0ePcPi/Sbs//fQTbBRLmNy8eRNFixaFu7s7jidQTW3//v0JlshduHBh7P1+/foZ9DyIiMi0MmTIgCVLlsjaPn36hP79+0MyxpKEBoovAB4QEIB69erh4cOHAAB7e3u0bt0amzZtQnBwMGbPno2yyut9GkJDQ7FkyRJUqlQJVapUwbJly/D582eTPhciMg4Gv4nSO2XwOyxMe81hfVy7Jt+Or7y4slT1lSuG96UvZeZ36dIJ768MNN66BTx/nng/t2/Lt1nyPOUoJ1mcPZv0cykDhnnzAuPGifu2tiLQqCk4GPjnn6T3p3TmjHzNZZUKMDCLgtKYbNm0s79XrAA01lCM15kzwMiR8jZnZ2D9evF61Uf58iLbW7kG+OnTQLlyYo3wBw+AxYtF5q7ys2HKFCBfPv36IiIiIqI0YerUqXBxcYG/vz9Gjx4teyw8PBz9+vVDdHQ0KlasiMGDB2sdP3HiRPj5+SEoKAg+Pj7x9vP48WOMHDlSZ5Bk5cqVWLVqFQCgS5cuaNiwYTKfFRERGVvdunXRV1Epcc+ePZgzZ45ZxpNYAFy5lrezszOGDh2Kq1ev4vLlyxgyZIjWWuaaLly4gN69eyN37twYNmwY7ty5Y5LnQUTGweA3UXqnaz1hfQIvmt68ERlemsqV072vcjadMnBsTMrgd2KZ35UraweBjhxJvB9l5jeD3ymnenX59uXLScvGPnNGO+v6119FFmMMLy/tYPTcuUmrlKCLsuR5hQrxl+kny/H99/IlIiIi4iZdxOfNG6BTJ3mJfpVKrPOtXEc8MVWrArt3A5kzy9uDg4FvvwWKFAH69wdCQ+WPd+gg2omIiIjIonh4eMDX1xdubm6YPn06mjRpggULFmD69OmoXLkyDh06hHLlymHHjh1w0Py99B+1Wh17X1dg29HREYUKFQIAzJgxAxUqVMCECROwYsUKzJw5E40aNULPnj0hSRJ69uyJZcuWme7JEhFRsvz555/IlSuXrO3HH3/EMWVlxRQSEwAvp7guHRAQAC8vL60AeIzy5ctjzpw5ePbsGTZu3IgmTZrELgOiFBISgjlz5qBkyZLw8vLChg0bdFZKISLzYvCbKL1zcABy5pS3Gbo+izLr294eKFZM974lSsi3TTVL7tMn4L+SNrESC37b2IjsRk2JlT6Pjgbu3pW3MfidcqpUkW+HhwNXrxp+ngUL5Nvu7kC3btr7/fSTfPvGDeDiRcP700X5WmPJ8/TBzQ3o3VvetnKlyL7WJTIS6NxZe8LR6NFAkyZJG0OtWmLyR968+u1fr57IULfi10giIiIiS1S1alVcv34dY8aMQUBAAEaOHIkJEyYgQ4YMmDVrFs6dO4fcuibSAxgzZgwKFy6MPHnyYMqUKVqPOzs7w8/PD4cOHcLw4cPh4OCAWbNmoW/fvvj555/x9OlT9OnTB2fOnMHy5ct1BtiJiCh1yJo1K5YuXSpri46ORseOHREUFGSWMSU1AA6IsugdOnTAnj178PTpU/z+++9wTyDJ4NixY+jcuTPy5s2L0aNHI0B5rYaIzIZXLYkI8PCQbxsa/FYGG0uXFoFkXZTrYb9+rb22rDHcuSPPyFWp9FuL29B1vx8+1M40ZvA75WTNqj2hwtDS5+/eAf/+K28bOhSws9Pet1EjIH9+edvffxvWny6hocD58/I25WuRLNfPP8vX/pYkkXX98aN8P0kSZdIPHpS3e3mJSgXJUbo0cO4c0Lhxwvv16AHs2gVkzJi8/oiIiIgoVXN2dsaECRNw69YtfPz4Ee/evcO5c+cwbNgw2On6rfSfMmXKwM/PD4GBgahTp47OfVQqFerXr4+ZM2fizJkzeP36NSIjIxEaGoq7d+9iyZIlqKZc4oqIiFKl5s2bY5yigt3Lly/Rvn17hCelOqMR5MiRI94AuK4S6Lq4u7tj3LhxePz4MbZv346mTZvGmw3+8uVLTJ48GQUKFEDHjh1x6tQps6x9TkRxGPwmIuMHv+MreQ4ABQrIS/wCpsn+vnFDvl24MJAhQ+LHKbNt/f2Bx4/j31+Z9e7iItbdpZSjLH1uaPB79Wrgy5e4bVtboGdP3ftaWQG9esnb1q4VlQaS48QJeQlrW1uRjUvpg6sr8Msv8rZ79wBvb5HpDQBqNTBihPZkC1dX8RqMb8KRIdzcgD17gJ07gaZN4wLcGTOKrPJ9+0RWuj7vpURERERERESULvzyyy9o2rSprO3s2bP4/vvvzTSi+APgT58+1TsADgA2NjZo1aoVdu/ejQcPHsDHxwcuLi46942OjsamTZtQq1YtVK5cGatWrWJJdCIzYfCbiLSD34aWaDEk+G1trV0S3RTrfivX+y5dWr/jPD1FAFtTQtnfly7JtytU0K8fMh5lRoAhwW9JApYskbe1aaP9GtDUq5eoJBAjNFQ7c9xQytdYtWpApkzJOyelLcOHA5Uqydt27ABq1wamT4/7U1OGDGIfNzfjjUOlApo3F+uAh4aK24cPIijeqJHx+iEiIiIiIiIii2BtbY3Vq1ejYMGCsvaFCxdi8eLFZhpVXAC8bNmysvaYAPjjhBKedChYsCAmT56MgIAArFu3DnWVy2dquHTpEnr06IF8+fLh999/x4sXL5L0HIgoaRj8JqLkZX5/+aKduZ1Q8BtImXW/lcHvxNb7jmFlpZ39nVDwW7nec8WK+vVDxqMMfvv7A8+e6XfshQvaVQL69k34mLx5tUtDr16tX3/xUb7GWPI8/bGxAdavF6X8NZ07B/zvf9prgKtUwJo12uveG5OVlSjHbm1tuj6IiIiIiIiIKM3Lnj07tmzZggyKanEDBw7Ezp07zTQqEQA/dOiQzgC4l5eXwQFwQKwN3rlzZxw9ehS3bt3CoEGDkCmeJJbnz5/jl19+gYeHB3r27IkrV64k6XkQkWEY/Cai5AW/b9+Wl2sGgDJlEj5Gufa2KTK/b92Sb+sb/Aa0A4+HD8vXD48hSdqZ38rMTTK9kiWBzJnlbUeP6nesMuu7QAH9As/KsuiHDwPPn+vXp9Lr19rl8xn8Tp8KFQK2b098PW1ra2DFCqBt2xQZFhERERERERFRYsqWLYslimttarUanTp1woULF8w0qoQzwJMaAI9RsmRJzJs3D4GBgZg2bRry58+vc7+IiAisXLkSFSpUQIMGDXDgwAGuC05kQgx+E5F28DswEIiO1u9YZdCuUCHAySnhY0yd+f35MxAUJG8rXlz/45WBx5cvtYPpAPDwIfD+vbyNmd8pz9palITWdORI4seFhgLr1snbevcW2a6JadlSXpZcrQY2bUr8OF0OH5ZvZ8xo2mxeSt3q1BGTNwoX1v14vnziNdOjR4oOi4iIiIiIiIgoMd7e3hgzZoys7fPnz2jevDkePnxoplEBzs7OCZZA9/f3T9b5s2bNih9//BEPHjzAli1bEiyJfujQITRq1AgVKlTAunXrEKVMLCOiZGPwm4i0g99RUfpnsRqy3ncMZeZ3UBAQEqJff/rQ9UWqUCH9jy9QQASYNOkqfX7ypHw7Z05REptSXr168m19gt8bNgCfPsVtW1mJ9bz1kTEj0Lq1vE0ZSNfXgQPy7Tp1ADu7pJ2LLEPlyqIc/9KlQLt2QI0aQPv2wLJlwN274jVCRERERERERJQKjR8/Hj0Uk/ZfvXqFJk2a4NWrV2YaVVwAvIyiaumTJ0/g5eWV7AA4INY/b9u2LY4ePYorV66gZ8+esIvnOt/Vq1fRtWtXFClSBHPnzsUnzeuURJQsDH4TEeDiAtjby9v0LX2elOB3kSLaa8jevatff/rw85Nv58mTeBlhTSqVdvb3wYPa+x0/Lt+uXVscSylPGfx+8ABIrGSRsuR58+ZA7tz699mli3z7zBmx3rghJEk7+N2woWHnIMvk4CAqEWzeDJw6JSoL9Ool2omIiIiIiIiIUimVSoUlS5agoeIa14MHD9CyZUt8/vzZTCMTAfBDhw6ZNAAeo1y5cli+fDkCAgLw+++/w9XVVed+/v7+GDp0KDw8PPDLL7+YdYIAkaVg8JuIRMarMmNZn+C3JCUt+G1np13S15jrfiuD30WKGH4OXcFv5ey7Eyfk28zGNJ+yZQFnZ3nbnj3x73/lCnD+vLytb1/D+mzUCMiWTd62fr1h53jwAHjyRN7G4DcREREREREREaVhdnZ2+Pfff7XKjJ87dw6dO3dGZGSkmUaWsgFwAMiZMyfGjRsHf39//PXXXygSz7Xqt2/f4vfff0e+fPkwdOhQBAYGGnUcROkJg99EJChLn+sT/Pb3Bz58kLfpE/wGtNfgVgask8MYwe8mTeTZ6V++APv3x20/fSoCl5qU605TyrG2Fv9mmnbvjn//+fPl27lzA02bGtannR3QoYO8be1aw86hzPrOlQvw9DTsHERERERERERERKlM5syZsXv3bngorjv7+vqiZ8+eUKvVZhpZXAC8dOnSsnZTBcABwMHBAX379sWdO3ewefNmVKlSRed+YWFhmDt3LgoVKoSBAwfiqb4VWokoFoPfRCQkJfNbmfWdI4coMa4PZea3MpCcHMYIfmfPDtStK2/799+4+76+2vsrZgtSCmvWTL596JD25AwAePdOO0j93XeAjY3hfSpLn9+4Ady6pf/xmhMqAKBBA5bOJyIiIiIiIiIii5A7d27s2bMHWbNmlbWvXbsWAwcOhCRJ5hkYRAD88OHDOgPg9erVM0kAHBDrgrdr1w5nz57FsWPH0Lx5c537RUREYOHChShcuDD69euHx4kt8UhEsRj8JiJBmfkdEJD4MbpKnusbuFMGvx8+1O84fSgD6cq+9NW2rXx761YgJETc37FD/ljz5trrmFPKatJEHsD+8gXYvl17v+XLgbCwuG0bG8NLnseoXVt7nfB16/Q7NioKOHJE3saS50REREREREREZEFKliwJX19fZMiQQda+ePFijBw50uwBcF0Z4P7+/iYNgANibfQ6depg586duHHjBr755hvY6EjOiYyMxJIlS1CkSBH06tULfsasoEpkoRj8JiIhKWXPk7Led4xCheTbDx6INcST69MnIDhY3paUzG8A6NRJHkwNCxOBzWfPgMOH5fu2bJm0Psh4smUT63BrUmZ4R0Vplzz/+mvAzS1pfVpbi9eJpnXr9HstnzihnZneoEHSxkFERERERERERJRK1apVC1u3boWtra2sfdq0aZg4caKZRiW4uLgkGAB/8uSJycfg6emJFStW4OHDhxg4cCDs7Oy09omOjsaKFStQvHhxdO/eHffv3zf5uIjSKga/iUhQBr/1mdV27Zp8u2xZ/ftTZmN/+AC8eaP/8fHRVT5dGWjXl4uLdlD7zz9F8DQqKq4tQwagceOk9UHGpSxDvm+fvKrA2rXAo0fyfQYONG6fjx4BFy4kfty2bfLtcuW0s8iJiIiIiIiIiIgsQOPGjbF+/XpYWcnDUuPGjcPs2bPNNCohoQC4l5dXigTAAcDDwwPz58/Ho0ePMHToUDg4OGjto1arsXr1apQsWRL9+vVDYGBgioyNKC1h8JuIhIIF5dvv3gFv38a//7t3gPJD35DM77x5tddYNsa638qyL3nziuB0UvXvL99+/BhQzkb09gYyZ056H2Q8bdoAWbLEbUsSMHOmuP/5M/Dzz/L9K1USpcuTo1Il7QkWiZU+lyTt4LeyzD4REREREREREZEFadeuHZYvX67VPnz4cCxbtswMI4oTEwD39PSUtad0ABwA8uTJg9mzZ+Px48f48ccftUrGAyITfMmSJShcuDBGjBiBN8ZILCOyEAx+E5GQL5/2mtUJrcOtzPq2swOKF9e/PxsboEAB/fvTlzL4ndSS5zEaNgSqV094n0GDktcHGY+jI9C7t7xt8WLg1i1g9GjtCRu//qr/OvXxUam0s783bACio+M/5soV7aUFGPwmIiIiIiIiIiIL16NHD8ybN0+rvW/fvlirXMIwhbm4uODw4cM6A+ApVQJdU65cuTBt2jT4+/vjp59+QqZMmbT2CQ8Px7Rp01CwYEGMHz8eHz9+TNExEqVGDH4TkWBrC+TPL29LKBP70iX5tqenOIchdK37nVzKcyjLqxtKpQKmTgWs4nm7/OYbwzLeyfSGDhWTMWJERYnXp7J8Ut26QLNmxumza1f59rNnwLFj8e+/dat8u2BBMUYiIiIiIiIiIiILN2jQIEyePFnWplar0b17d2zYsMFMoxLiywB//PixWQLgAJAzZ0788ccf8Pf3h4+Pj85M8A8fPuDnn39GoUKFMGfOHISHh6f4OIlSCwa/iSiOMlBsSPC7YsXk95caM78BoGZN7cApAJQpo7udzCtfPmDEiIT3sbMDFixIftZ3jBIltNe8j6/0uSQBW7bI29q2Nd5YiIiIiIiIiIiIUjkfHx+MGjVK1qZWq+Ht7Y1NmzaZaVRCzpw5cejQIZQqVUrWHhMAN9c6287Ozpg8eTIePnyIgQMHwka5rCiAly9fYtiwYfD09ISvry8kSTLDSInMi8FvIoqTnOB3hQqG92eKzG9TBL8BYPBg4NAhEaSsUAH45Rfg5En5+tKUeowenXBG/qJFQMmSxu1TWfr833+BsDDt/S5dAm7flre1aWPcsRAREREREREREaVyEydOxPDhw2Vt0dHR6NKlCzZv3myeQf0nZ86cOHz4sM4A+FdffYXnz5+baWSAm5sb5s+fj7t378Lb2xsqHUk1Dx48QKtWrdCkSRPcVl6LJLJwDH4TURx9g98fPgD378vbUkPmd2gooPzSYazgNwDUry8ydi9dEmtFOzkZ79xkXBkzAvv2AVWqyNsdHICFC4FevYzfZ+fO8u3374E1a7T3W7ZMvp0vH1CjhvHHQ0RERERERERElIqpVCrMmDEDQ4YMkbVHR/+fvfuOa+p6/wD+SZgyVBBQluLGBSouXKiAe9bZVnGvaqt+3Vatu9ZR97ZV6xY3ghO11l33wq0Iiggqsmfu7w9/pFwSRiAhjM/79cqL3Oeee88TwiWQJ+ecFPTp0weH0i8dmMcyKoA/ffoUHh4eCA8P11JmX1WsWBE7duzAnTt30LFjR6VtTp06BScnJ/z000/49OlTHmdIpB0sfhPRf9IXowMCvk7RnN6dO+JtXV2gVi3V+0s/8vvDh6+F9ZxKX6yXSL6upUxFk5UVcOUK4OsLzJkDrFz59WdkxAjN9FeuHODpKY79/juQkvLf9qdPwF9/idsMHJjxmvJERERERERERESFmEQiwYoVK/DDDz+I4snJyejVqxeOHj2qpcy+Si2AOzo6iuIPHz5E69atERERoZ3E0nBycoKPjw8uXryIRo0aKexPSUnBqlWrULlyZaxduxYpad+vJCqE+G47Ef0n/TTQnz8DoaGK7dJPeV6z5tcRtaoqX15xnePcjP5OX/y2t89ZXlR4SKVA+/bAjBnAjz8Ctraa7W/cOPF2QIB47e/Vq4GYmP+2dXSAAQM0mxMREREREREREVE+JpFIsGrVKoxIN2glOTkZPXr0wLFjx7SU2Vepa4BXTDeY6/bt22jXrh2ioqK0lJlYkyZNcPnyZezYsQM2NjYK+z99+oRRo0bB1dUVDx480EKGRHmDxW8i+o+DA1CsmDimbD0Qdaz3DXwtTNvZiWO5KX5rar1vouxq0wZwchLHJk/++kGS4GBg0SLxvl69vo4YJyIiIiIiIiIiKsKkUinWrFmDoUOHiuJJSUno3r07/Pz8tJTZVzY2NvD390fZsmVF8atXr6Jjx46IjY3VUmZiEokE33//PZ48eYLp06fDwMBAoc2///6LunXrYvbs2UhMTNRClkSaxeI3Ef1HKgWqVRPHHj5UbJe++J2T9b5TZXed8exIX/xOf24iTZNKgXnzxLF374DmzYEWLcSjviWSr4VxIiIiIiIiIiIiglQqxfr16zF48GBRPDExEd988w1OnDihpcy+KleuHPz9/WFtbS2KX7hwAV27dkV8fLyWMlNkYmKCuXPn4vHjx+jRo4fC/qSkJMyaNQv16tXDv//+q4UMiTSHxW8iEqtRQ7ydvvgdHQ08eSKO5ab4nX7db3VOe86R36QNHTt+HQGe1oMHij/bQ4YAzs55lxcREREREREREVE+J5VKsXHjRgxIt1RgQkICunbtilOnTmknsf9XqVIl+Pv7w9LSUhQ/ffo0evXqle9GUjs4OMDb2xvnzp1D1apVFfbfv38fjRo1wpQpU5CUlKSFDInUj8VvIhJLv+73vXvi7evXAUH4b1tHR3GaZ1Woc+R3+uIiR36TNkgkwObNgLl5xm3KlgV+/TXvciIiIiIiIiIiIiogpFIpNm/eDC8vL1E8ISEBXbp0wZkzZ7SU2VfVqlXD6dOnYWZmJor7+Pigb9++SE5O1lJmGWvRogXu3LmDqVOnQkdHR7RPJpPht99+Q8uWLRESEqKlDInUR1fbCRBRPlO7tnj7zh0gORnQ/f9fF//8I95ft67iOuGqUNfI75gYIP0LM4vfpC12dsDJk0Dr1l/X+07Lygo4fhwoVUo7uREREREREREREWUgKioKjx8/xosXL/Dx40d8/vxZfouIiBBtx8XFiY4V0g6aSsPIyAgmJiYwNjaGiYmJ/JZ+u2TJkrC0tISFhQUsLCzw22+/ISkpCbt375afKz4+Hp07d8axY8fQqlUrjX4vMuPs7IxTp07B3d0dkZGR8ri3tzcMDQ2xdetWSKX5a/ypoaEhFixYgB49emDQoEG4e/euaP+lS5dQt25d7Nu3D82aNdNSlkS5x+J3AZScnIxNmzZhx44dePz4MRISElC2bFl06dIFY8aMQZkyZXLdh0QiyVa7Dh064NixY7nuj/KRevXE23FxX6c+T52e+eJF8f6mTXPXX/oCdXAwEB8PGBqqdh5lRfMKFXKeF1Fu1asH3L0LLFgA+Pt/HRHepg3w889A6dLazo6IiIiIiIiIiIqwiIgI3L17FwEBAaJbcHCwtlPLUlxcHNzd3dGnTx98++23sLW1hY2NDaysrBRGNWtSvXr14OfnhzZt2iAmJkYe3759O4oVK4b169dnu9aSl+rWrYt///0XixYtwpw5c0RTtb9//x4tW7bEkiVLMGbMmHyZP1FWWPwuYMLDw9GxY0dcu3YNjo6OmDx5MkxMTODr64uFCxfijz/+wP79+9G8eXNtp0oFlYUFUL488OrVf7Hr178Wv5OSgCtXxO1z+wmw9CO/BQF4+VJx+vWspJ8u3c4udyPSidTB3h5Yt07bWRAREREREREREeHp06fw8fGBj48PLl68iJSUFG2nlCt79uzBnj175NtSqRRlypSRF8NTb2XLloWDgwPKlSsHW1tb6OqqrzTWpEkTHD16FB06dEB8fLw8vnHjRhgaGmL58uX5soCsp6eHn3/+Ge3atUP37t3x+vVr+b6UlBSMGzcO4eHhmDdvnvaSJMohFr8LkOTkZHTr1g3Xrl1D48aNcebMGRT7/+LeDz/8gGnTpuHXX39Fly5dcP36dVSuXDlX/Y0aNQqjR4/OtI2JiUmu+qB8qkEDcfH72jVg6FDg0qWv04un1aRJ7voyNf06DfSHD//FXrzIffGbU54TERERERERERFRESYIAi5fvoxDhw7Bx8cHT58+1XZKGiWTyfDu3Tu8e/cuwzY6Ojqwt7eHg4ODvCCeet/BwQF2dnYqF8dbtWqFQ4cOoXPnzkhKSpLHV65cCSMjIyxYsCBfFsCBr6PAb9y4gb59++LEiROiffPnz4eZmRnGjx+vpeyIcobF7wJk06ZNuHjxIiQSCTZt2iQvfKeaPXs2vL298fz5c/zvf/+Dj49PrvqzsLCAo6Njrs5BBVTDhsDevf9tnz79dUS2n5+4Xd26XwvXuVWpkrj4nb6QnR0sfhMREREREREREREBAC5cuIBp06bh0qVLKh8rlUrh4OAAGxsbmJmZZXgzNjbOsqgrk8kQFxeH6OhoREdHIyYmRn4/7XZUVBQ+ffqE8PBwhIWFidbRVqeUlBS8fv1aNNI5LR0dHdja2ooK4mkL5fb29tDT01M4rm3btti3bx969OghGlG/cOFCGBkZYcaMGRp5POpQqlQpHDt2DHPnzsXs2bNF+yZMmAAzMzMMGjRIS9kRqY7F7wJCEAT8+uuvAL5Oo1FdyahYPT09DBgwANOnT8exY8dw9+5dOKeu00ykitatxdtv3gABAUD69d3bt1dPf5UqAZcv/7etbP3urKQvfqefTp2IiIiIiIiIiIiokLt9+zamTZumMIpXGX19fTg6OqJatWryr9WqVUOVKlVgaGiYB9lmLDExER8/fpQXw8PDwxEeHo53795h/vz5Gus3JSUFb968wZs3b3DhwgWF/VKpVFQcTztyvFatWtiyZQsGDBgAmUwmP2bmzJkwNTXF2LFjNZZ3buno6GDWrFmwt7fHkCFDRPt++OEHeHp6wt7eXkvZEamGxe8C4urVqwgKCgIAeHh4ZNjO09MT06dPBwB4e3uz+E05U7361zWzg4P/i82c+bUAnlaHDurpL32hmiO/iYiIiIiIiIiIiLItPDwcP/74o2gNbGXKlCmDjh07olOnTnB3d4exsXEeZagafX19WFtbw9raWmHfzJkz0bNnTxw9elRh34wZM2BnZ4d3797h7du3ePv2LQIDA/H69WvExsbmOi+ZTIagoCAEBQXhn3/+UdgvkUggCIJCfNy4cfj8+TOmTZsGAwODXOehKYMHD8bnz58xceJEeSwhIQEbNmzg+t9UYLD4XUCcPXtWfr927doZtnN2doZUKoVMJhMdk1symQyxsbFc47uokEiAtm2BzZv/ix04IG7j4PB1bXB1SF+oVrX4HR8vLtQrOycRERERERERERFRIRQcHAwPDw88efJE6X4HBwf069cPnTp1gouLC6RSaR5nqF76+vrYt28funfvDl9fX9G+lStX4syZMxg2bJgoLggCwsPD5YXwtLfAwEC8evUKMTExuc5NWeE71Zw5czBnzhzY2NgoXW/cwcEBZcuW1fqo+wkTJuDhw4fYunWrPLZp0ybMnj0bOjo62kuMKJtY/C4gHjx4IL+f2dQSBgYGsLS0RGhoKB4+fJirPt+8eYPhw4fj9OnTCA4ORlJSEvT19eHi4oLevXtj2LBhCuuOZ0dw+iJlOiEhITlNmdTJy0tc/E5v6FBAXX8kpS9UBwYCSUmAkrVTlHr16uua5Glx2nMiIiIiIiIiIiIq5J49ewZPT08EBgYq7CtdujRmzJiBoUOHQl9fXwvZaY6BgQEOHDiAbt264fjx4/L4ly9f4OnpCX9/f9StW1cel0gksLS0hKWlJerVq6dwPkEQ8OnTJ1FBPH2RPCoqSi25v3v3Du/evcPltEuBpmFhYQE7OzvY29vDzs5OdN/e3h62trY5qs1klyAICkXuDx8+ICQkBHZ2dhrrl0hdJEJmH0OhfMPV1RVXr14F8LV4bGtrm2FbZ2dn3Lt3DwDw6dMnmJmZqdyfRCIBANja2mLo0KHy6dOvX7+OdevWISIiAlWqVMHRo0dRtWrVHJ07O4KCgvjLVFsE4evI7hs3FPcZGn4tOJcpo56+Pn4ELCzEsefPs1/A9vEBOnf+b7t0aeD9e/XkRkRERERERBkKDg6Wf0if/8NTQcCfWSIqTO7fvw9PT0+EhoaK4iVKlMDkyZPx008/5dtpzdUlPj4eXbt2xcmTJ0VxMzMz+Pv7o06dOmrpRxAEREREKB01/vr1a7x69QqRkZFq6Ss7TE1NYWVlJb+VLl1aft/S0hLFixeHiYmJws3Q0BDJyclITExEYmIikpKSEB8fjzdv3uDx48d4/PgxLl26hJs3b4r6s7W1xZs3bwr8rAGU/2jibzOO/C4g0n6iKKspL9J+4icqKipHxW8AaNKkCXx9fVGiRAl5rGvXrhg+fDiaNm2Kp0+fok2bNrh58yZKlSqVoz4oH5NIgAULgDZtFEdV//ab+grfAGBuDpQsCURE/BdTpfjN9b6JiIiIiIiIiIioCAkNDYW7uzvCwsJEcUdHR5w+fTpPPtxz4MABzJkzB/r6+ujVqxeGDx+O4sWLa7zftAwNDXH48GF07twZp0+flsc/f/4MDw8PnD17Vj64LzckEgnMzMxgZmaWYUE9tTiedtT4y5cvla5NnltRUVGIiorCixcv1H5uZX788UcWvqnA4E9qAREXFye/n9X0JGn3x8bG5qi/V69e4fTp06LCd6py5cph+fLlAIDAwEDMmzdPpXMHBQVlert+/XqOciYN8PQEtm0DUj9QIZEAI0cCo0ertx+JRLFgrcqLNovfREREREREREREVITMmTNHofBdt25dXLhwIU8K3wEBAejZsyfu3buHGzduYNKkSbC2tsaiRYuQkJCg8f7TMjQ0xJEjR+Du7i6Kf/r0Ce7u7rh//36e5FGyZEnUrl0bXbp0wZgxY7Bs2TIcOXIEiYmJaN++vdJjmjVrhrp168Lc3DxPcswJZ2dnjBo1SttpEGUbi99qlpycDIlEkuvb1q1bRedNO5o7MTEx0xzS7jcyMsrR43BwcMh0zYiuXbvKR3tv3boVMpks2+dOXaMio5u1tXWOciYN6dfva3H5/HkgNBRYu1Z9a32nlX6Ud/qCdmZY/CYiIiIiIiIiIqIi4sWLF9i4caMo1rRpU5w9exaWlpZ5ksPTp0+RflXd2NhYTJ48GTVr1sSxY8cU9mtSsWLFcPToUbRs2VIU//jxI9zd3fHo0aM8yyU9PT09eHt7o3Hjxgr74uLicP78eXz8+BGRkZF4+PAhTp48iT/++AOzZs3CkCFD0LZtW9SoUUPpYEVNKl++PDZs2IBr167BxMQkT/smyg1Oe15AmJqayu/Hx8dn2jbtKPG0x6mTjo4OateuDX9/f0RERCAgIAA1atTQSF+UD9jYfL1pkjpHfmd3unQiIiIiIiIiIiKiAmbGjBlITk6WbxsYGGD37t15Whz18PCAlZUVPnz4oLDv+fPn6NSpE9q1a4dly5ahatWqeZKTkZERfHx80KFDB/z999/yeFhYGNzd3XHhwgVUrlw5T3LJKLfmzZvj4cOH8viNGzfwzTff4NixYzA1NUX16tVRvXr1DM8TFRWFkJAQfPjwAR8+fEBoaKj8fup2eHg4YmJiEB0djejo6CwHVKbmV7VqVVStWhWOjo5wcXFB27ZtoavLMiIVPPypVTNdXV0EBATk+jzpRz87ODjg6tWrAL6u5WFra5vhsaGhoQCA4sWL53i97+ywsrKS33///j2L35Q76Yvf2R35nZgIvH6d+bmIiIiIiIiIiIiICoH79+9j9+7dotiPP/6YJ1Odp2VsbIzDhw8rHc2c6vjx4zhz5gzGjx+PmTNnZjrbrDrz8vX1Rbt27fDPP//I4+/fv0erVq1w4cIFlC9fXuN5KGNubo6TJ0+icePGePPmjTx+5swZeHl5YdeuXdDR0cn0HKampjA1NUWVKlWy3W9iYiJiYmIQFRWF+Ph46OnpQV9fX/TVyMgIEokkx4+NKD9h8VsDHB0d1X7OmjVryu8HBQWhbt26StslJCTI1/nQdDE67VTnWf1CJsqSspHfMlnWU6wHBn5tl9m5iIiIiIiIiIiIiAqB/fv3i7aLFy+OKVOmaCUXV1dX3L59G506dUJwcLDSNklJSVi4cCEOHDiAzZs3o3nz5hrPy9jYGH5+fmjdujWuXLkijwcHB8sL4Pb29hrPQxlbW1ucOnUKTZs2RXh4uDy+b98+WFhYYPXq1WovQuvr60NfX1+jgyWJ8hOu+V1AtGrVSn7/zp07Gba7e/euvCid9hhVrF69Gn/99VeW7d6/fy+/z3W6KdfSF6wTEoA0n37LUPoR4ubmAF/EiYiIiIiIiIiIqBC6f/++aLt///4oVaqUlrIBateujRs3bqBp06aZtnv27Bnc3NwwcuRIREZGajwvExMTHD9+HPXq1RPFX79+jVatWiEkJETjOWSkatWqOH78uMI62mvXrsWcOXO0lBVR4cHidwHRqFEj+bQl/v7+GbY7c+aM/H7Pnj1z1NeSJUuwYMGCTNskJCTg9u3bAABLS0uVptggUqp0aSD9mjSPH2d93NOn4m2O+iYiIiIiIiIiIqJCKu160QBQp04dLWXyn9KlS8Pf3x8//PBDlm3Xr1+PGjVqwNfXV+N5lShRAidPnoSTk5Mo/vz5c7i7uytdrzyv1KtXD4cOHYK+vr4oPmvWLKxdu1ZLWREVDix+FxASiQTTpk0DAFy8eBGPlRQFk5OTsXXrVgBAhw4d4OzsrNAmOjoaHh4eKFmyJFasWJFhf0+fPsXLly8z3L9r1y75p7OGDh3KtSAo9yQSoFo1cSwgIOvjHj0Sb6c/BxEREREREREREVEhEBcXh+fpZsJMu2SqNunr62PNmjXYtGkT9PT0Mm0bHByMjh074rvvvsPHjx81mpe5uTnOnDmDauneNw4ICICnpyc+ffqk0f4z4+HhgR07dijUV0aPHo19+/ZpKSuigo/F7wJk6NChaNq0KQRBwNChQxEXFyfaP2vWLDx79gwlS5bEsmXLlJ5j586d8Pf3x5cvXzBhwgTExMQobScIAgYOHIioqCiFfXfu3MGECRMAfF3ffPLkybl8ZET/z9FRvJ2dkd8sfhMREREREREREVER8PjxY/myp6mqV6+upWyUGzJkCM6fP48yZcpk2Xb37t1wcnLC6dOnNZqTpaUl/P39USndrKH37t1D69at8eXLF432n5mePXtizZo1opggCOjXrx8uXbqkpayICjYWvwsQXV1dHDp0CA0bNsTFixfh4uKCxYsXY+3atejYsSPmz58PCwsLHD58GJUrV1Z6jvQvjIIgKLRJHTF+4cIFVK1aFRMnTsQff/yB9evXY8CAAWjYsCE+ffqE+vXr49SpUyhevLj6HywVTaqO/BYExeJ3Pvtjj4iIiIiIiIiIiEgd3r9/L9q2srKCsbGxlrLJWOPGjXHz5k00bNgwy7bv3r1D69at8b///Q/x8fEay8na2hpnz56Fg4ODKH7z5k20a9cuw4GCeWHkyJGYPXu2KJaYmIiuXbtmOkMvESnH4ncBY2FhgYsXL2Lt2rUoWbIkfv31V0ycOBEvXrzApEmTcO/ePbi5uWV4fN++fdGiRQsUL14cS5YsgYmJiUKbI0eO4MGDB5gzZw6qV6+OXbt24YcffsC4ceNw9uxZdOzYEfv27cOVK1dgb2+vyYdLRY2qI7/DwoD009Jw5DcREREREREREREVQmZmZqLtL1++KB3glh/Y2Njg77//xuDBg7PVftmyZWjQoAHu37+vsZzs7e1x9uxZ2NnZieJXrlzBN998g8TERI31nZUZM2YorJkeHh6Ojh07anVkOlFBJBHy629GKrKCg4PlRfWgoCCFFyIqxJ4+BapWFcfCw4FSpZS3//tvoEWL/7YNDICYGEBHR2MpEhERERER0X/4PzwVNPyZJaKC7OXLl6hYsaIoFhkZCVNTUy1llDVBELBx40b8+OOPSEpKyrK9gYEBFi5ciJ9++glSqWbGbz59+hRubm4KI+l79eqFXbt2QUdL7y8nJyejc+fOOH78uCjeunVr+Pr6QldXVyt5EWmSJv4248hvIso/KlQA9PTEscxGf6ef8rxqVRa+iYiIiIiIiIiIqFCytLRUiIWFhWkhk+yTSCQYPnx4ttcBT0hIwLhx49C2bVu8e/dOIzlVqVIFZ86cgbm5uSi+b98+jBo1Smuj6XV1dbFnzx7UrFlTFD916hR++umnfDvKnyi/YfGbiPIPXV0g/Xr1ma37nX4f1/smIiIiIiIiIiKiQsrExASGhoai2IcPH7SUjWpS1wF3dXXNVvvTp0/DyckJJ0+e1Eg+NWrUwPHjxxXWTN+wYQOmT5+ukT6zo3jx4jh27BisrKxE8XXr1mH16tVayoqoYGHxm4jyl/Rrdqsy8pvrfRMREREREREREVEhJZFIFEZ/v3nzRkvZqM7Gxgbnz5/HiBEjstX+48ePaNeuHWbNmoWUlBS159OgQQMcPnwY+vr6oviCBQuwdOlStfeXXeXKlcORI0dgYGAgio8dOxZ+fn5ayoqo4GDxm4jyF0dH8XZmxW+O/CYiIiIiIiIiIqIipFq6AUDnzp3TUiY5o6+vj3Xr1mHTpk0KRWdlBEHA7Nmz0bZtW41M8e7h4YFdu3YprC8+YcIEbNmyRe39ZVejRo2wdetWUUwmk6FPnz64f/++dpIiKiBY/Cai/CX96O2HD5W3+/IFSL/mC4vfREREREREREREVIi5u7uLts+cOaOlTHJnyJAhuHDhAmxtbbPV/syZM6hbty5u3ryp9ly6d++OjRs3KsSHDBmCQ4cOqb2/7OrTpw9mzZolikVFRaFTp04IDQ3VTlJEBQCL30SUv9SsKd5+/RqIiFBsl74orqMDVKqkqayIiIiIiIiIiIiItM7T01O0/fz5c7x+/Vo7yeRSw4YNcePGDTRt2jRb7YODg9G0aVPs3r1b7bkMHjwYixYtEsVSR1qfP39e7f1l18yZM/Htt9+KYoGBgejatSvi4uK0lBVR/sbiNxHlL9WqAXp64tjdu4rtbt1SPC4b0+QQERERERERERERFVTOzs6wsLAQxQrq6G8AKFOmDPz9/TFq1KhstY+Pj8d3332HqVOnqn0d8IkTJ2Ly5MmiWGJiIrp164aA9Etw5hGJRII///wTrq6uovjVq1cxaNAgCIKglbyI8jMWv4kof9HXB2rUEMfu3FFsl356m7p1NZYSERERERERERERUX4glUoLzdTnqfT19bF69WqsWrVKYe3tjCxcuBDdu3dHbGysWnP59ddfMXToUFEsIiIC7du319pU44aGhjh8+DAcHBxE8T179mD27NlayYkoP2Pxm4jynzp1xNvKit/pR367uGgsHSIiIiIiIiIiIqL8wsPDQ7R94sQJtReBtWH06NHw8fGBiYlJttofOXIErVq1QlhYmNpykEgkWLduHbp27SqKv379Gp07d9ba99nKygo+Pj4wNTUVxWfPno1du3ZpJSei/IrFbyLKf2rXFm//+694Oz5ecc1vjvwmIiIiIiIiIiKiIqBt27aQSCTy7S9fvsDb21uLGalP+/btcenSJdjb22er/bVr19C4cWO8ePFCbTno6Ohg586dqF+/vih+/fp19O3bV+3TrWdXzZo1sW/fPoXR8YMGDcK/6d9DJyrCWPwmovynQQPx9qNHQETEf9s3bgBp/8CQSABn5zxJjYiIiIiIiIiIiEib7Ozs0KZNG1Fs48aNWspG/ZycnHDt2jXUq1cvW+2fP38OV1dX3L17V205GBkZwcfHR2Gq8UOHDmHSpElq60dVbdu2xYoVK0SxhIQE9OrVC58/f9ZSVkT5C4vfRJT/1Knzde3vVIIAXLv23/bFi+L2Tk5AuuleiIiIiIiIiIiIiAqrYcOGibYvX76MBw8eaCkb9bO2tsbff/+Nb775Jlvtw8LC0LJlS9y8eVNtOZQuXRp+fn4oWbKkKP77779jzZo1autHVaNHj8aoUaNEsdevX2PQoEEQBEFLWRHlHyx+E1H+Y2AApP9U3+XL/93/5x/xvqZNNZ8TERERERERERERUT7RsWNHlClTRhTbtGmTlrLRDCMjI3h7e2Py5MnZav/582e4u7vjWtqBVLlUrVo1HDx4EHp6eqL4Tz/9hGPHjqmtH1UtW7YMTZo0EcUOHz6sMCqcqChi8ZuI8qfGjcXbZ89+/ZqSIi6EA0CzZnmTExEREREREREREVE+oKenh0GDBolif/31F+Li4rSUkWZIpVIsXLgQGzZsUFjrWpkvX77A09MT169fV1sOLVu2xObNm0UxmUyG3r17486dO2rrRxV6enrYs2cPSpUqJYpPmjRJrY+dqCBi8ZuI8qcWLcTbly8Dnz9//Zp2/W+AI7+JiIiIiIiIiIioyBkyZIhoOyIiAnv27NFSNpo1bNgw7N27F/ppl8vMQFRUFDp06IBnz56prX8vLy/MmjVLFIuNjcU333yjtbW27ezssH37dlEsKSkJvXr1wqdPn7SSE1F+wOI3EeVPLVsChob/bctkwKlTwJEj4nZOToCtbd7mRkRERERERERERKRl5cuXR+vWrUWxhQsXIiUlRUsZaVaPHj3g6+sLY2PjLNuGh4ejbdu2CA0NVVv/M2fOhJeXlyj26tUr9O3bFzKZTG39qKJdu3aYOnWqKBYYGIiBAwdy/W8qslj8JqL8ycjoawE8rR07gIMHxbEuXfIuJyIiIiIiIiIiIqJ85McffxRtP336FPv27dNSNprn4eGBs2fPwtzcPMu2L1++RIcOHRAbG6uWviUSCTZt2gRXV1dR3M/PD/PmzVNLHzkxZ84cNEu3NOjRo0exbNkyLWVEpF0sfhNR/tW1q3j72DHg1StxjMVvIiIiIiIiIiIiKqI6dOiAOnXqiGJz584ttKO/AaBBgwY4c+ZMtgrgN2/exNixY9XWt76+Pry9vWFlZSWKz5o1CydOnFBbP6rQ1dXF7t27YWlpKYpPnjwZV69e1UpORNrE4jcR5V/ffQcUL57x/jp1gLp18y4fIiIiIiIiIiIionxEIpFg5syZolhAQAAOHDigpYzyRp06dbJdAN+0aRP27t2rtr5tbW2xd+9e6OjoyGOCIOC7777Dq/SDt/KIra0tduzYAYlEIo8lJydz/W8qklj8JqL8y8QEGDgw4/0TJwJpXsyJiIiIiIiIiIiIipouXbrA2dlZFJs7d67W1qHOK6oUwIcNG6bWwnSLFi2wcOFCUezz58/o0aMH4uLi1NaPKlq3bo1p06aJYkFBQejfv3+h/1kgSovFbyLK32bMAMqVU4w3awb06pX3+RARERERERERERHlIxKJBDNmzBDFHjx4gEOHDmkpo7xTp04dnDp1CiYmJpm2i4yMxMSJE9Xa9/jx49G9e3dR7NatWxg9erRa+1HFrFmz4ObmJoodO3YMS5cu1VJGRHmPxW8iyt9KlQJ8fAB7+/9iTZsCR48CaaaVISIiIiIiIiIiIiqqunXrhpo1a4pis2fPLtRrf6dycXHBgQMHoKurm2m7AwcO4PLly2rrVyKR4M8//0TVqlVF8T///BPbtm1TWz+qSF3/O/2a5FOnTlXrYyfKz1j8JqL8r1Yt4NUr4OFD4MED4Px5oGRJbWdFRERERERERERElC9IpVKF0d/379/H9u3btZRR3mrdujX++OOPLNtNmjQJgiCord/ixYvj4MGDMDY2FsV/+uknBAcHq60fVVhbW2Pnzp2i9b9TUlLQp08fREVFaSUnorzE4jcRFQw6OkD16kCNGhzxTURERERERERERJRO9+7dUaNGDVHs559/RmxsrJYyylteXl6YO3dupm0uXbqER48eqbXf6tWrKxTeIyMjMWzYMLUW2lXh4eGh8GGIoKAgTJ8+XSv5EOUlFr+JiIiIiIiIiIiIiIgKOB0dHSxevFgUe/fuHX7//XctZZT3pk2bho4dO2ba5uDBg2rvt3fv3ujXr58odvz4cWzdulXtfWXXzJkz0aJFC1Fs1apVuH79unYSIsojLH4TEREREREREREREREVAm3btoWnp6cotnDhQrx//15LGeUtqVSKbdu2oVy5chm2OXz4sEb6XrFiBaytrUWxcePGaW36cx0dHWzevBmGhobymCAIGDZsGJKSkrSSE1FeYPGbiIiIiIiIiIiIiIioEJBIJFi8eLFoveeYmBj88ssvWswqb5mbm2Pfvn3QyWD5zMePH2ukXzMzM2zYsEEU+/LlC4YPH6616c8rVqyo8NzfvXsXy5cv10o+RHmBxW8iIiIiIiIiIiIiIqJCwtnZGQMHDhTFNm/ejAcPHmR5rCAIuHPnDnbs2IGtW7fi6NGjePToEVJSUjSVrkY0aNAAo0ePVrovNjZWY8XoTp06KUx/7ufnh23btmmkv+wYP348atWqJYr98ssvePXqlZYyItIsFr+JiIiIiIiIiIiIiIgKkblz58LIyEi+LZPJMHHixEyPCQgIgIuLC+rUqYN+/fph4MCB6NKlC2rUqAEzMzO0bdsWK1euLDBF09mzZ8PKykrpPk1O+718+XKUKVNGFBs7dizevn2rsT4zo6enh40bN4pmA4iLi8PIkSO1NiKdSJNY/CYiIiIiIiIiIiIiIipEbGxsFIrdJ06cgK+vr9L2kZGR8PT0xO3bt5Xuj4qKwsmTJzFmzBhUqFABzZo1w5YtWxAdHa323NWlRIkSmD9/vkJcKpVCX19fY/2am5tj48aNotiXL18wffp0jfWZlUaNGuGHH34QxU6ePIk9e/ZoKSMizWHxm4iIiIiIiIiIiIiIqJCZMGGCwgjkMWPGID4+XqHt7t27VRqZfPHiRQwaNAhlypTBoEGD8O+//+Y6X01wcXFRiMlkMo33q2z687/++gtPnjzReN8ZWbBgAWxsbESxMWPG4NOnT1rKiEgzWPwmIiIiIiIiIiIiIiIqZExMTPDbb7+JYi9evMCSJUsU2j58+FAh5uLiolA8Ty8mJgZbtmxBgwYN4O7ujtOnT+ebqbQfPHiAXr16KcT19PTypP8lS5bA2NhYvi2TyTBr1qw86VuZ4sWLY/Xq1aJYWFgYJk2apKWMiDSDxW8iIiIiIiIiIiIiIqJCqG/fvmjcuLEotmDBAgQGBopiadcHB4DWrVvjxo0bCAkJQUhICPbt24f+/fujVKlSGfZ19uxZtG7dGi4uLvD29s6TEdbKJCUlYd26dWjQoAGeP3+usD+jdcDVzcrKCmPGjBHF9uzZg3v37uVJ/8p069YNXbp0EcX++OMP/P3331rKiEj9WPwmIiIiIiIiIiIiIiIqhKRSKdasWQOp9L9yUFxcHP73v/+J2tWtW1e0fe7cOYSHhwMAypQpg549e2Lr1q149+4dDh48iI4dO4rOmdbt27fRq1cvNGzYEBcuXFDzI8pYfHw81q9fj8qVK+OHH35AXFyc0nbv3r1DQkJCnuQ0YcIElChRQhT75Zdf8qTvjKxevRomJiai2PDhw5VOh09UELH4TUREREREREREREREVEjVrl0bI0eOFMUOHjyIU6dOybfbtGkDAwMD+XZSUhKWL1+ucC59fX1069YNPj4+CA4OxoIFCzKcGv3GjRtwc3PDN998g2fPnqnnwaSTkJAAHx8feHl5oXTp0hg5cqTCqPb0BEFAYmKiRvJJz8zMDOPHjxfFDh8+rNU10u3s7LBgwQJR7MmTJ1i8eLGWMiJSL4mQXxZfIPp/wcHBsLe3BwAEBQXBzs5OyxkRERERERERkTL8H54KGv7MElFR9fnzZ1SpUkU+mhsAqlSpgnv37smL3l5eXti+fbt8f/HixREYGIiSJUtmeu74+Hhs374dixYtUjrNOPB1ne3Jkydj+vTpoiK7qhISEvDvv//in3/+wT///IOLFy8iKioq02MMDAxEI70dHBzw6tWrHOegqsjISFSoUAEfP36Ux1q3bo2TJ0/mWQ7ppaSkoHHjxrh+/bo8VrJkSQQGBqJ48eJay4uKHk38bcaR30RERERERERERERERIWYmZkZFi5cKIo9ffoUy5Ytk29PmzYNEolEvh0ZGYkVK1ZkeW5DQ0MMHToUjx8/xt69e1G1alWFNklJSZg3bx7q1q2brTWvBUFASEgITp8+jd9//x0DBw5EvXr1UKJECTRr1gzTpk3D8ePHMy18u7q64siRIyhXrpwo3rBhwyz7V6fixYtj8uTJotipU6fw5MmTPM0jLR0dHWzYsEEUi4iIUIgRFUQsfhMRERERERERERERERVyAwcORIMGDUSxuXPnyqcJd3R0RM+ePUX7ly5dig8fPmTr/Do6OujVqxfu37+P1atXw8LCQqHNo0eP0LBhQ/z5558ICwvDnTt34Ofnh3Xr1mHChAn45ptv4OzsjOLFi8PGxgatW7fG+PHjsXXrVty8eTNba3W7u7vD398fFy5cwNGjR/H06VPR/vbt22fr8ajTqFGjYGVlJYodPHgwz/NIq3bt2ujataso9vvvv3PtbyrwWPwmIiIiIiIiIiIiIiIq5KRSKdasWSMa3R0bG4sxY8bIt6dPny7aHxUVhblz52a7D0EQEBcXBw8PD2zcuBHW1tYKbeLj4zF48GBYWVmhTp066NChA3744QcsXboUhw4dwr179xAdHa3SY2vatClWrFiB4OBgnDlzBs7Ozmjbti3++OMPUbuGDRvi+++/V+nc6mBkZIQePXqIYtoufgPAlClTRNvv37/HX3/9paVsiNSDa35TvsO1l4iIiIiIiIgKBv4PTwUNf2aJiIAffvgB69atE8WOHj2KTp06AQD69+8vKoDq6uri4cOHMDc3R0hISJa32NhYjeYvkUjg5OSEpk2bolmzZmjevLm8yB4ZGYnVq1dj6dKl+PTpk+g4fX193L59G9WrV9dofhnx9/eHh4eHKBYYGIiyZctqJZ9UrVq1wrlz5+TbFStWxOPHj6Grq6vFrKio0MTfZvzJJSIiIiIiIiIiIiIiKiLmz5+PAwcOiKYzHzp0KI4dO4YPHz7A1tZW1D45OVnpOt55wcjICDVq1ECtWrXkNxcXF5QsWVLeRhAE3LlzB/v27cOGDRsUit7A18L3tm3btFb4BoDmzZvD3NxclN+hQ4dEI++1YerUqaLi94sXL7B//3706dNHi1kR5RyL30RERERERERERERERIWcIAh4+/Yt7t69CxsbG1HxOzQ0FPXr19dabi4uLqhQoQIqVKiAihUromLFiqhQoQLs7e2ho6Oj0D42Nhb//vsv/Pz8sH//frx8+TLDc1tbW+PgwYNo1KiRJh9ClvT09NC5c2ds3bpVHjt48KDWi98eHh5wcXHBzZs35bGFCxeid+/eoinwiQoKFr8LMH9/fwwePBiBgYH45ZdfMGvWLLX38eDBA6xYsQL+/v4ICQlByZIlUbduXQwdOhRdu3ZVe39ERERERERERERERJQ7MpkMAQEBuH79Ou7evYu7d+/i3r17SkdFa0rJkiVhY2MDGxsb2Nrayr9OnDgRcXFx8naWlpa4ceNGhudJTEzE8+fPcffuXVy+fBlXrlzB3bt3kZycnGUO3bp1w+rVq2FjY6OWx5Rb3bp1ExW///nnH4SHh8PCwkJrOUkkEkydOlW0Jvndu3dx4sQJtGvXTmt5EeUUi98FUFRUFCZNmoQNGzZAk0u2//HHHxg1ahRSUlLg5eWFhg0b4s2bN9i4cSP8/Pzw3XffYdu2bVz3gYiIiIiIiIiIiIhIi5KSknDr1i38888/+Oeff3Dp0iV8/PhRI31ZWlrC2tpadCtTpoxCzMjICMDXEefv37/HtWvX4Ofnh/j4eNH59PT0EBcXh6CgIAQFBeHNmzd48uQJAgIC8PjxY7x48QIpKSkq5ditWzfMnDkTtWvXVtfDVgtPT08YGBggISEBwNfvzZMnT7Ra/AaArl27okqVKnj69Kk89uuvv7L4TQUSq5YFTOpo76CgILi7u+PMmTMa6cfX1xfDhg2DTCbDoUOHRKO8hw4dCldXV+zatQtmZmZYvXq1RnIgIiIiIiIiIiIiIiLloqKicPz4cRw+fBi+vr6IjIxU27m7d++OMmXKYM2aNaK4g4MDnj59Cj09PSQlJSEsLAyhoaH48OEDQkNDcfXqVfl2SEgInj59isDAwEz7evfunbxQnhsODg7o0aMHvLy8UKtWrVyfTxOKFSsGS0tLBAcHy2NfvnzRYkZf6ejoYPLkyRg8eLA8lvohiiZNmmgxMyLVsfhdgJw7dw6enp6oVKkSLly4gKSkJI0UvxMSEvDDDz9AJpOhd+/eCtOblytXDgsWLMDAgQOxdu1aDBgwAPXq1VN7HkRERERERERERERE9J/4+Hjs27cPe/fuxZkzZ5CYmKjyOYoXL46aNWuiSpUqsLW1xfz58xXaDB06FPHx8Xjy5ImoDvH69Wvo6+vn6jGoi1QqhZOTE9q1a4cePXqgTp06BWKN6hIlSoiK3xEREdpLJo2+ffvil19+EeX266+/4tixY1rMikh1LH4XINHR0Rg7dizmz5+PYsWK4fz58xrpZ/v27Xjz5g2Ary9wyvTp0wc//fQToqKiMH/+fBw6dEgjuRARERERERERERERFXWvX7/G+vXrsXnzZpWmM7e3t0f9+vXh7OwMJycnODs7w9zcHBcvXsSFCxdw5coVpce1bdtWXamrjbW1NVxcXODq6gpXV1fUr18fJiYm2k5LZSVKlBBt54eR3wCgr6+P8ePHY9y4cfKYn5+f1tckJ1IVi98FSMeOHdGpUyeN9+Pt7Q3g6y+6Zs2aKW1jaGiIpk2b4vjx4zhx4gSio6ML5IsMEREREREREREREVF+9eDBA0yfPh1Hjx6FIAhZtrewsICDg4P8lpycDB8fHxw8eDAPss29kiVLwt7eHhUqVEC1atXg6Ogov6UvGhdUJUuWFG3nl5HfwNcBkT///DNiY2MBfF2T/Ny5c+jZs6eWMyPKPha/C5C8mK4jJSUFFy5cAABUr1490+lL6tSpg+PHjyM+Ph6XL19G69atNZ4fEREREREREREREVFhFxYWhl9++QUbNmyATCbL9nHh4eEIDw/HjRs3NJhdzlSoUAHW1tawsrJC6dKlUbp0adjZ2cHe3l5+MzU11XaaGpf+MeaXkd8AYGxsjObNm+PEiRPy2JkzZ1j8pgKFxW8Sef78OeLj4wF8nQ4lM2n3P3z4kMVvIiIiIiIiIiIiIqJckMlkWLVqFX755Zd8VRTNSOPGjVG5cmVYWlrC3Nwc5ubmKFWqlPy+ubk5LC0tUaxYMW2nmm/cvn1btG1mZqalTJTz8PAQFb/9/f21mA2R6lj8JpHXr1/L75cuXTrTtmn3pz0uK8HBwZnuDwoKkt8PCQnJ9nmJiIiIiIiIKG+l/b89OTlZi5kQEREVbIIg4Nq1a3B1ddV2Kgp8fX1RpUoV1K5dGzExMfL4tGnTMH/+fC1mVvC8fPkST58+FcVatWqlpWyUc3d3F22/ePECr169Qvny5bWUEZFqWPwmkaioKPl9Q0PDTNum/aRW2uOyktWI8rQaNGiQ7bZEREREREREpD1hYWFwcHDQdhpEREQFRmhoKM6cOYPTp09j27ZtGu/P1NQUnTt3hoeHB5o3bw57e3vo6emJ2vz9999o0aKFKLZz507s3LkTI0aMwNKlS+XxPXv2YN68eXmyZGthcfz4cdG2paUlXFxctJSNck5OTrCwsEB4eLg85u/vjyFDhmgxK6Lsk2o7Acpf4uLi5PczW+87/f7Y2FiN5UREREREREREREREVBg8ffoUM2bMgLOzM8qUKYO+fftqpPBdvHhx9OnTBzt37kRYWBgEQUBkZCR27NiBAQMGoEKFCgqFbwBwc3ODl5eXKLZr1y74+/vj22+/FcWVjWKmzPn5+Ym227ZtC6k0f5XqpFKpwuhvTn1OBQlHfqtZcnKy0hcMVW3ZsgUDBgzIfUIqSjuaOzExMdO2afcbGRllu4+005orEx8fj8ePH6N06dKwtLSErm7B+DENCQmRj1S/fv06rK2ttZwR5RSfy8KBz2PhweeycODzWHjwuSw8+FwWDnweC4+C+lwmJycjLCwMAFCrVi0tZ0NERJQ/ffz4EXv37sVff/2Fa9euqXSsVCqFo6MjXFxc4OLigqtXr2LPnj0Ztnd3d8fw4cPRpUuXLAe4ZWTx4sU4evQoIiIi5LEff/wRd+7cgY2NDd69eyePnz9/HlWrVs1RP0XN9evXcfr0aVGsffv2Wsomcx4eHti7d69829/fHzKZLN8V6omUKRhVRcozpqam8vvx8fGZtk07SjztcVmxs7PLsk2lSpWyfb78yNraOluPk/I/PpeFA5/HwoPPZeHA57Hw4HNZePC5LBz4PBYeBe255FTnREREyp0/fx4rV67EsWPHkJSUpNKx//vf/9CtWzfUrl0bJiYmAIBFixZlWPju2bMn5syZA0dHx0zPGxERgQsXLuDOnTsIDw/H58+fkZiYCAsLC1hZWcHW1haVK1fGuHHj8Msvv8iPCwgIwOrVq9GiRQvs2rVLHr9y5QqGDx+u0mMrij59+oRevXqJfg709fXRunVrLWaVsfQjv8PCwnD//n04OztrKSOi7GPxW810dXUREBCQ6/No6xPeaf9hDQ0NzbRt2v38R5eIiIiIiIiIiIiI6Ou62bNmzcL58+dVPrZt27Y4ePCgaJZW4Gvhe/LkyQrtnZycsHnzZtSvX1/p+QICAvDjjz+qZdrq8ePHY+LEiaLYixcvcn3ewk4mk8HLywuBgYGi+Pjx42Fubq6lrDJXvnx5VKhQAS9fvpTH/P39WfymAoHFbw3I6pNV+VmlSpVgaGiI+Pj4LKcnDw4Olt+vUaOGplMjIiIiIiIiIiIiIsq3Lly4gFmzZuHcuXOZtrOysoKurq5o+nAAqFu3Lry9vRUK32fOnFFa+B4zZgwWLlwIQ0NDUVwmk8Hb2xt9+vTJ4SPJ2OLFi0Xbr1+/Vnsfhc1vv/0GX19fUaxZs2aYM2eOljLKHg8PD2zcuFG+ffHiRfzvf//TYkZE2cPJ+UlER0cHzZs3BwA8evQo03W/b926BQAwNDRE48aN8yQ/IiIiIiIiIiIiIqL85OPHj+jZsyfc3NwyLHwbGBigd+/e8PX1xbNnz6CrKx6baG9vD19fX/kU56nCwsLg5eWlcL7ff/8dy5cvVyh8P3v2DE2bNtVI4VuZrJZPLcpiYmIwYsQITJs2TRS3srLCnj17FH4G8pv0Az2jo6O1lAmRalj8JgU9e/YEACQmJuLixYtK28THx+PSpUsAvk7Dkv4FmYiIiIiIiIiIiIiosDt9+jRq1aqF/fv3K91vZ2eHVatW4f3799izZw/at2+P1atX482bN6J2K1asQJkyZRSOnzlzJkJCQkSxX3/9FePGjVNoe/nyZTRo0ABXrlzJxSNSjUQiybO+CpJ///0XderUwYYNG0RxiUSCXbt2wcbGRkuZZZ9MJhNtS6UsKVLBwJ/UIiY6OhoeHh4oWbIkVqxYobRNv379ULZsWQDA5s2blbbZt28fIiMjAUDhU0tERERERERERERERIVZfHw8xo0bh9atWysUpwHA1tYWa9aswfPnzzF69GiULFkSACAIgmgqaQBo2bIlunbtqnCOt2/f4s8//xTF2rZti0mTJim0ffHiBTp06ICIiIgMc65duzbWrVuHly9fIiUlBYIgiG6JiYn4/Pkznj9/jgMHDmDSpElo0KBBpt+H/LpmtbYkJydj3rx5cHV1xbNnzxT2z5s3D+7u7lrITHUpKSmibR0dHS1lQqSa/D2nAqndzp074e/vDwCYMGEChgwZAmNjY1EbAwMDrF27Fp07d8aePXvQp08fdO7cWb7/zZs3mDp1KgBg1KhRqF+/ft49ACIiIiIiIiIiIiIiLfr8+TNat26NGzduKOwrVaoUZs+ejcGDBytMSQ4A169fR2BgoCj222+/KR1BvWzZMtHSpPr6+ti8ebPCCFxBEDBgwIAMC9+///47xowZk+XIXT09PZQsWRIlS5ZExYoV8c033wD4Okuss7MzHj9+rHBMjRo1Mj1nUREfHw9vb28sW7YMt2/fVthvZGSE5cuXY8iQIVrILmc48psKKha/C5jTp08jNDQUABAQECCP37t3Dzt27JBv9+3bV+nx6X9ZCYKgtF2HDh2wYcMGjBo1Cj169ICXlxcaNmyIN2/eYMOGDQgLC8O3336L5cuX5/IREREREREREREREREVDBERERkWvtu0aYMtW7bA2to6w+P37t0r2q5SpQrq1aun0E4QBIW2gwYNgq2trUJbPz+/DJcwnTRpktIp0lWhr6+PlStXonXr1gr7XFxccnXugi4wMBDr16/H5s2bER4errRNw4YNsX37dlSuXDmPs8sdjvymgorF7wJm/vz5+PvvvxXihw4dwqFDh+TbGRW/+/bti3379uHWrVuYM2dOpmt1DxkyBI0aNcLy5cvh7++PHTt2oGTJknBxccGwYcPQrVu33D+gQsTOzi7DDxNQwcLnsnDg81h48LksHPg8Fh58LgsPPpeFA5/HwoPPJRERUf4XGRmJdu3aKRS+DQ0NsWjRIowePTrLNbB9fHxE271791Z6zP379xEcHCyKjRo1Suk5//jjD6VxqVSKCRMmZJpPdnl6eiqNZzUtemEkk8lw5swZrFmzBseOHVMYdJhKR0cHM2bMwM8//wxd3YJXjuPIbyqoCt7VVsSdP38+V8ebmpri3Llz2W5fs2bNDNf9JiIiIiIiIiIiIiIqCmJjY9GhQwdcvXpVFLe1tcWJEydQs2bNLM8RFxeHFy9eiGKdOnVS2vbUqVOi7XLlyimdYjwpKQknTpxQeo5atWrB0tIyy7yyIygoSGl8y5Yt8PDwUEsf+VlgYCD8/f1x9uxZnD17Vuk672lVqVIF27ZtQ6NGjfIoQ/VLP/KbxW8qKFj8JiIiIiIiIiIiIiIiysT06dMVpha3trbG2bNnUaVKlWyd48WLFwozvVSrVk1p27TLngKAh4eH0hHiDx8+RFxcnNJzlCtXLlt5ZSU6OhqdO3dWum/Xrl0YN26c0qnbC7LQ0FCcO3dOXvB++fJlto5zd3fHqFGj0KlTpwI52jut9CO/Oe05FRQF+8ojIiIiIiIiIiIiIiLSoBs3bmDFihWimJWVFfz9/bNd+AaAp0+firZtbGwyXJr0+fPnou2qVasqbZdZUfbp06dISUnJVdHyw4cP6NixI+7cuZNhm4kTJ+Ls2bNZTvmeHyUnJ+PFixd49OgRAgICEBAQgNu3b+Phw4fZPoepqSn69++PH374IcMPMxREERERom2O/KaCgsVvIiIiIiIiIiIiIiIiJZKTkzF06FDRKFgDAwOcPn1a5UJnYGCgaLtSpUoZtn39+rVou2LFikrbffjwIcNzPH78GDY2Nujfvz8mTpyo8hToV65cwffff49Xr15l2u78+fM4fvw42rdvr9L584ogCIiKisKLFy/kBe7U27Nnz5CUlJSj89aoUQOjRo1C3759YWpqquastSs5ORn79+8XxTL6GSTKb1j8JiIiIiIiIiIiIiIiUmLFihUKo55nzJgBJycnlc+Vfg1lIyOjDNvGxsaKts3MzJS2S0hIyLTPDx8+YPHixdi0aRO2b9+Ojh07ZplndHQ05s+fj0WLFilMfV2qVCmcPXsWHTt2FK0DPmnSJLRu3TpPp/pOSUlBWFgYQkJC8P79e9HX9LH038+cKFWqFFq1aiW/Va5cuUCOds+OU6dOKaxr3qdPHy1lQ6QaFr+JiIiIiIiIiIiIiIjSSUxMxK+//iqK1ahRAxMnTtR43+lHI+vr6yttZ2BgkK3zRUREoGvXrvj777/RpEkTpW2Sk5Oxbds2zJgxQ6HwCXxdQ/zEiRNwdHTEvHnz0L9/f/m+hw8fYtu2bRg8eLA8JggCUlJSkJCQgMTERKVfU+/HxMQgKioKkZGRiIyMlN/PLBYREaFQnFcnExMTuLm5oVWrVnB3d0etWrWKzNTfW7ZsEW3Xq1cPNWvW1FI2RKph8ZuIiIiIiIiIiIiIiCid48eP4+PHj6LYxo0bIZPJ8PnzZ8TGxiIuLk7+Ne39hIQEJCUlITk5WX5bvny56FwnTpzAzz//jOTkZIW2X758EbUdMGAAGjZsCJlMBkEQIJPJIJPJFKamzkxKSgqaNm2K5s2bi84TExODe/fuZXl8REQEunTpAplMhuTkZIX9Q4YMwfjx4yEIgry4LQhCtvPTptKlS6NatWrym4uLC+rXrw89PT1tp5bnPn78iKNHj4piAwcO1FI2RKqTCAXlNw8RERERERERERFRLgQHB8Pe3h4AEBQUBDs7Oy1nRER5KSUlBV++fMHnz5/x6dMnfPr0SX5f2dcLFy4onEMikRSYgi4pcnBwEBW5U2/m5ubaTi3fWLVqFX766Sf5toGBAUJCQjKcep8oNzTxtxlHfhMRERERERERERERUYGVkpKC0NBQvHnzBkFBQQgKCpLfDw4ORnh4OD59+oQvX77kunDNwnf+I5VKUbp0aVhbW6NMmTKZfi1WrJi208330k953rVrVxa+qUApGosTEKkgPDwcM2bMQM2aNWFiYgJzc3O4urpi5cqVSExMVFs/fn5+6Ny5M2xtbWFoaIjy5ctj4MCBuHXrltr6KKrCw8Oxbt06dO3aFeXKlYOhoSGMjIxQvnx59O7dGz4+Prn+I/X8+fOQSCTZui1ZskRNj6xoadGiRba+vyYmJmrpj9ek+g0YMCDb10nqrWvXrir3w+tRvQRBwOrVq2FiYgKJRILz58+rdPzly5fx3XffoWzZsjA0NIS9vT169eql8nmyEhMTg0WLFsHFxQUlS5ZEiRIlUKdOHcyfPx+RkZFq7augyulzeevWLUyZMgVNmzaFhYUF9PT0YGZmBhcXF0yYMAHPnj1TS36q/I4IDw9XS58FUU6ex9evX2f7ezt69Gi15MlrMms5eS5VfR2VSCQ4fPhwjvLjNZk5df6PwddKIiIi1clkMrx8+RLHjh3D2rVrMXXqVHz//fdo3rw5HBwcYGhoCFtbW7i6uqJXr14YP348VqxYgYMHD+L69et4+fIlIiIiWLjOZ/T09OTvwdvZ2aF69epo1KgRPD090b17dwwcOBA//fQTpk+fjkWLFmHdunXYuXMnfHx8cP78edy5cwfv379HYmIi3r17h5s3b8LX1xebN2/GvHnzMGrUKHTv3h2NGzdGhQoVWPjOhkuXLuH27duiGKc8p4KGI7+J0rh+/Tq6du2KkJAQeHp6YuTIkYiLi8O2bdswZswYbN26FceOHYONjU2O+5DJZBgxYgQ2bdoEc3NzDBs2DOXLl8eNGzewbds27NixA0uXLhVNK0LZN2HCBKxZswbx8fGwtLTE999/j8qVK0MQBJw7dw779+/Hvn370KpVK3h7e3M6G+I1mc+ULl1a2ykUaS9evMCgQYOUTuuWHXPmzMHs2bNhaGiIIUOGoGbNmggICMCmTZvg7e2NiRMnYtGiRbnO8/nz5+jYsSOePHmC+vXrY9asWZBKpdi7dy+mT5+OP/74Az4+PqhRo0au+yqocvJcvn79Gv369cPFixcBAE2aNMHo0aNhb2+P9+/fY/fu3Vi6dClWrlyJBQsWYMKECZpKn/5fbq/JvMJrMmt5+VzytVT91Pk/Bl8riYiIshYZGYn79+/j7t27uHfvHu7du4f79+8jOjpa26llSCKRoFixYjAyMpJ/NTAwgJ6eHnR1deVf3717h6dPn4qO9fT0hLW1NXR1deVtdXR0sHLlSoV+pk6dColEAqlUColEgnPnzsn/h1OXgQMHokWLFpBKpfJ+0t9PH+vUqZPCea5evYpixYpBX18fBgYG8q+p9/X19SGRSNSaO+XOy5cv8c0334hidnZ28PDw0FJGRDkkEJEgCIIQGBgoWFpaCgCEsWPHivbFx8cLLVu2FAAILi4uQnx8fI77mTx5sgBAsLCwEJ49eybad/z4cUEqlQoSiUTYt29fjvsoykqXLi0AENzc3ISIiAiF/T4+PoKOjo4AQGjcuLGQkpKSo37OnTsnABC2bdsmBAQEZHr7+PFjbh9WkeTm5ibUr18/y+/vkydPctUPr0nN6d+/vwAgy+cwICBAKFeunABAuHz5ssr98HrMPZlMJqxatUowNjYWihcvLjRq1EgAIAAQzp07l61zrFu3TgAgGBoaClevXhXtu3XrlmBsbCwAEBYvXpyrXCMiIoQqVaoIAITu3bsLycnJosfx/fffCwCEcuXKCWFhYbnqqyDKzXN5/Phxedvly5cr7E9OTha+++47eZv169fnKtf+/fsLNjY22fodkfZ5Lgpye02+evVKACAsWLAgy+/t+/fvc5Urr8nM5fa5BCB07do1y+dx586dAgChatWqOc6V12TG1PU/Bl8rifKHoKAg+e/ioKAgbadDVKTJZDLhyZMngre3tzB9+nShc+fOgoODg/wa1fRNX19fKFOmjFCtWjWhSZMmQqdOnQQvLy9h7NixwuzZsxXaN23aVLh69apw79494dmzZ0JwcLDw6dMnIS4uTpDJZNl6zElJSYJUKhWd98qVK0rbzpw5U9Suffv28n3BwcFCt27d1PJ9sLKyEqZMmSI8f/48x8+lj4+Pwnn37NmT4/NR3vvw4YNQuXJlhedx3rx52k6NCjlN/G3G4jfR/+vVq5cAQChbtqzS4vbz58/lb2gsWbIkR308ePBA/sfNunXrlLZJLRaVLl1aiI6OzlE/RVnp0qUFXV1dITAwMMM2w4cPl/8y3b17d476SS22ZbcoRKpzc3MT3NzcNNoHr0nNSv3eZeXSpUsCAKFWrVo56ofXY+798ssvAgChTZs2wps3b+Tb2f2+fvjwQTAxMREACJMnT860D0NDw1z9ITtp0iQBgGBiYiJ8+PBBYf+nT5+EkiVLCgCE0aNH57ifgio3z2Vq8dvT0zPDNtHR0UKpUqUEAELJkiWFuLi4HOfav39/oVy5cjk+vjDL7TWZWvzesmWLxnPlNZm53D6XAIT+/ftn2W7o0KECAGHp0qU5zpXXZMbU8T8GXyuJ8g8Wv4m0KzQ0VNixY4fQr18/oUyZMmovaOvp6Qnly5cX3NzchL59+wpTp04V1q5dKxw8eFA4f/68cPfuXSEoKEiIiYnJsmCd+mGy1Nu2bdvU8j2oVq2a6Lxr1qxR2u6vv/4StatUqZIgCF/fB7GyssrV96lEiRLCgAEDBF9fXyEhISHXj0kmkwm1a9cW9VGzZs0cDzyivBUdHS00aNBA4eekVatWuRoISJQdmvjbjGt+EwF49uwZvL29AQBeXl4wMDBQaFOxYkW0bNkSAPDbb78hOTlZ5X5+/fVXyGQyFCtWDN9//73SNkOHDgUAhIaGYvPmzSr3QUDt2rVRtmzZDPd3795dft/HxycvUqJ8itekZjk6OsLNzS3Ldhs3bgQADBs2TNMpUQYEQcDmzZtx4sQJ2Nvbq3z8ihUr5NPPDRkyRGmbIUOGQCKRID4+HkuXLs1RnlFRUVi1ahUAoGvXrrC0tFRoY2Zmhh49egAANmzYUOTWpc3tcwkAXbp0yXCfsbEx2rRpAwCIiIjAP//8k6M+KHPqeB7zAq/JrOX2uXRzc4Ojo2OmbaKjo7F7924YGBigf//+OU2VspDb/zH4WklEREVVYmIizp8/j6lTp8LFxQWlS5dG3759sX37drx//17l85mbm6Nhw4bo0aMHxo0bh2XLlmH//v24du0aQkJCEB8fj5cvX+L8+fPYvn07FixYgJEjR6Jbt25wc3ODk5MT7OzsYGRklOmU28nJyXj58qUoVrlyZZXzVcbFxUW0fePGDaXtqlatKtp+8eIFvL290bJlS3z48EHlfkuUKIH+/fvD19cXHz58wJYtW9C+fXvo6+urfK70JBIJpk+fLoo9ePAAR44cyfW5SbOSk5PRp08fXL9+XRR3cnLCwYMHldZKiPI7rvlNBGD//v0QBAEAMl2/wtPTE2fOnEFYWBjOnz+v0loXCQkJ8jdBGjZsCFNTU6XtXF1dYWJigujoaHh7e2PMmDEqPBLavXs3SpUqlWmbcuXKye+/efNG0ylRPsVrUvOmTJmCKVOmZNrmy5cv8Pb2hpGREfr165dHmVF6s2bNytU6W/v37wcAODg4oFKlSkrb2NnZwdHREQEBAdi/fz9+//13lfs8duwY4uLiAGT9er1582YkJSXh8OHDGRYZCqPcPJf16tXD8ePHUb9+/Uzb8XVU83J7TeYVXpNZy+1zef78+Szb7Nq1C9HR0fjuu++y/DuYckYd/2PwtZKIiIqSly9fws/PDydPnsS5c+cQExOj8jl0dXXh6OgIJycnODs7w8nJCU5OTrC2ts6Tv5Xfvn2rMPgpo9dwVdWrVw87duyQb2dU/K5ZsyakUilkMhmArx+s7NWrl8r9DR8+HJ07d4a7u7tGC5ndunVDjRo18PDhQ3lsxYoV6Natm8b6pNwRBAEjR47EsWPHRPGyZcvi+PHjKFGihJYyI8odjvwmAnD27Fn5/dq1a2fYrk6dOkqPyY4bN24gMjIyyz6kUimcnJwAAFeuXJG/cUHZ07JlS/n3LyMRERHy+8bGxmrrOzExkc+XhkVFRcn/4M8tXpP5w/bt2xEbG4vevXur9Q9qXo+qyc0bB2/fvsWTJ08AZH4tAf+9jgYHB+PZs2cq95UXr9cFXW6eSwsLC7Rt2zbLAo+mXkeBryNYU1JS1HrOgkgTb+YlJyfn6E3HzPCazFpevDGbOoPK8OHD1X5uXpNf5fZ/DL5WFg27du1S++9ZIqKCJCUlBUePHkXr1q1RsWJF/Pjjjzh27Fi2fjdaWVnB09MT48ePx7Zt23Dnzh1ER0fj/v372LlzJyZNmoS2bdvCxsYmzz4kquz9JyMjI7Wcu169eqLthw8fymeISevt27e5fh/M1dUV69evR/v27TU+glcqlWLq1Kmi2N9//43Hjx9rtF/KmeTkZEyZMkVhpkszMzOcOHECNjY2WsqMKPdY/CbC1ylYAMDU1DTT4kvaqQrTfoJNlT7SnyezfmQyGf840IBXr17J7zdv3jxX57p8+TK6dOkCGxsbGBoawsjICCVLlkSHDh1w6NAh+YwClDOxsbGYM2cOnJycYGxsjOLFi0NPTw/Vq1fHxIkT8e7duxyfm9dk/rBp0yYA6pnynNejduTkWgJUfx1Vpa/c9kOZS30dlUgkaNKkSa7OlZycjBUrVqB+/fooUaIETE1NoaenhwoVKmDkyJE5KvzQfx4+fIjvvvsOZcuWhaGhIUxMTGBsbAx3d3ds2bIlR8v4pMVrUvtu376NmzdvwtHRMdd/1wK8JnMjs/8x+FpZNEilUlSuXBnDhg3DtWvXtJ0OEVGeCQ8Px2+//YaKFSuiS5cuOH36dJbHGBsbo1OnTli9ejWePn2K9+/f49SpU1iyZAm8vLzg7Oys9amWlfWfkJCglnPXrl0burr/Tcork8nkS0rFxMRg69ataN68OapUqZLrvqpVq5brc6iiZ8+eCsuupH5Yk/KPK1euwMXFBYsWLRLFDQ0N4ePjk+c/N0TqxuI3FXkJCQny9WVKly6dadu0+1+/fq1SP2nba7IfytqhQ4cAfH0xHzBgQK7O9fPPP+Pt27eYMmUKfHx8sHv3bnTr1g0nT57EN998g86dOyMqKkoNWRdN//77L3799Vc0a9YMW7ZswbFjx7Bo0SKkpKRgyZIlcHR0xNGjR3N0bl6T2nf16lXcu3cPTk5OaNSoUa7Px+tRO/LyWko9RldXF+bm5hm2MzQ0RPHixXPcD2Xsy5cv8mmYO3XqlOv1qN++fYvx48ejevXqWLt2LXx9fbFq1SqUKlUK69evR40aNbBhwwY1ZF40LVmyBDdv3sTo0aNx6NAheHt7Y/Dgwbh8+TIGDRqEZs2aISQkJMfn5zWpfanXhzo+RAbwmsyNzP7H4GtlwXH58mWMGzcOnTp1QufOnTFlyhRcvHgxW8f26dMHa9aswebNm9G4ceMsZwsgIiro/v33XwwYMAB2dnaYMmUKAgMDM21ft25dTJ06FefPn8enT59w9OhRjBo1CpUrV86XS/4oWwdbXcVvY2NjuLq6imJbtmzB5MmTYWdnh4EDB8qL4Znp27cvDh48iMWLF2fYJqtlrdRNX18fAwcOFMW2bduG+Pj4PM2DlPv48SOGDh2Kxo0b4969e6J9UqkUu3fvzvWH3InyA675TUVe2kKIoaFhpm2LFSum9Lj81A9l7sOHDzhy5AgAYMKECbmevuWnn37CsmXLIJX+91miPn36oE+fPujYsSOOHTuG7777Tr62NKnGysoK586dQ/Xq1eWxDh06YPTo0ejUqRNOnz6Nnj174ty5c2jcuLFK5+Y1qX2pn/xV1xv2vB61Iy+vpdRjsuonta/IyEhER0dDEIR8+WZKQZT6poW+vj4WLlyY6/MZGRnh+PHjCqMkR44ciUGDBmHbtm0YMWIEzM3N0bNnz1z3V9R0794dO3fuFI1a6dGjBwYOHIgWLVrg6tWr6NSpEy5dupSjkTW8JrUrJiYGu3btgoGBAby8vNRyTl6TOZPV/xh8rcz/EhMTMWjQIOzevVsU9/X1xeLFi+Hs7IwlS5agVatWmZ6nW7duMDMzw+fPnzminogKJUEQsG/fPvz++++4fv16pm3Nzc3RsWNHtGnTBp6engqjgfM7TY78BgAPDw9Rgdvb21ul42/duoU6deogJCQEQ4YMybCdp6dnjnPMqaFDh4pGFH/69An79+9H37598zwX+komk2Hbtm2YNGkSwsPDFfZLJBKsXbsWXbt2zfvkiDSAI7+pyEu7JqyyT/SllXZ/bGxsvuyHMjdx4kTEx8ejbt26mD59eo7P06hRI7x+/RrLly8XFdpStWnTBiNGjAAAHDt2TP5mGGXfnj178PjxY1HhO5WBgQG2bt0KAwMDJCYmYvTo0Sqfn9ekdkVGRmLv3r0wMjLK9T8/vB61Ky+vpdS+suonbRuZTKbWNyiKsg8fPmDu3LkAgPnz5+d6GrQlS5bg9evXSqdqlkqlWLNmjXwE5JgxYzhSQAV2dnZ49eoVdu/erfRNuzp16mDmzJkAgJs3b2L9+vU56ofXpHbt3r0bUVFR6NGjB0qVKpXr8/GazLms/sfga2X+17dvX+zatUu+TI4gCKLbnTt34OnpiREjRmT5s1/QijtERNkVGBiItm3bok+fPpkWvl1cXLBlyxYEBwdj27Zt+O677wrk70Zlf0er8z2hGjVqZKtdRkt01qlTB5GRkejevTs+ffqktI2TkxMqVqyY4xxzqlKlSvDw8BDFOHuQ9jx48ABubm4YNGiQ0sJ3rVq18M8//2D48OFayI5IM1j8piIv7SfrExMTM22bdr+RkVG+7IcytmPHDvz111+wsrLCgQMHcrV2kKGhIcqVK5fp6IjBgwfL7//555857quoKlOmDMzMzDLcb2Njg7Zt2wL4ut7l7du3VTo/r0nt2rFjB2JjY9G7d+8M/5HLLl6P2pWX11JqX1n1k7aNVCrV+lpxhUFKSgq8vLwQHh6OPn36YPz48bk+p4WFRaZvghkbG6NPnz4AgJCQEBw/fjzXfRYVurq6cHBwgJ6eXoZtBg4cKP+9mdPfi7wmtUvdM6jwmsyZ7PyPwdfK/O348ePYv38/JBIJJBIJdHR04OXlhR07duD06dM4dOgQ5s2bB1dXV2zcuBFubm4IDQ3N8HxFeQQ9ERVOMpkMq1evRo0aNXDq1CmlbfT19dG3b19cvXpVPh162te/gkhfX1/hA4bPnz/P9XlTUlKwZs2aLGfuadu2Lfbv349nz54p7KtSpQpCQ0PRpk0bXLlyJcNzjBw5Mtf55lT6QurFixfx6NEjLWVTNL1//x6TJk1CnTp1lC7jYmxsjKVLl+LmzZuc6pwKHRa/qcgzNTWV38/qE9xpP7Gf9rj81A8pd+HCBQwdOhTFixeHn58fHBwcNN5nrVq15G8iXb58WeP9FUX16tWT31f1e8xrUrtS37DPq0+V8nrUnLy8llKPyc5ow9S+TExM+Ca0Gvz00084efIk3N3dsXXr1jz7nubm9zxlztzcHBUqVAAA3L9/H9HR0Sqfg9ek9ty5cwf//vsvHB0dlY7U1hRek2LZ/R+Dr5X52+bNmwF8He1tbGyMv//+G1u3bsV3330Hd3d3dOnSBdOmTcPFixdx+/ZtFC9eHE2aNMGbN2+0nDkRkeY9ffoUbm5u+PHHHxETE6Ow397eHvPnz0dQUBC2b9+Ohg0bFqrXlPSzEQYEBOTqfK9fv0bTpk0xevToDEeRjxo1Ck+ePMHx48fRvXt3XL16VaHN06dPUbt2baX70urXr1+u8s2NLl26yGcNSpX6mkuaExMTgx07dqBt27awtbXF4sWLkZycrNCue/fuePz4Mf73v/9l+qFpooKKxW8q8gwMDFCmTBkAyPTT2+n3q1o8Tdtek/2QouvXr6NTp07Q19fHyZMn4eLikif96ujowNzcHADw8eNHpX9oUO5YWVnJ779//16lY3lNas+1a9dw9+5dODs7o2HDhnnSJ69HzcnLayn1mOTk5AyndQO+vuEfGRmZ435IbOrUqVi7di1atmyJI0eO5OnowNz8nqespX5/BUHI8vpVhtek9qROG5nXUxPymvyPKv9j8LUyf7t27RqAryO2FyxYAFdX1wzbOjs74/Tp05gwYQI8PT3x8uXLvEqTiChPJScn47fffoOTk5PSEaO2trbYs2cPXr58iWnTpon+RihM0i/1lJvi97Fjx1C3bt0sC9a//vorqlSpIt/++++/lbbL6m+xadOmwdjYWPVE1URPTw8DBw4UxY4cOSJfYoTUJyUlBadOnYKXlxdKly6Nfv364eTJk5DJZApty5cvD19fX+zfvx92dnZayJYob7D4TQSgZs2aAICoqCh8+fIlw3bBwcHy+9ldlyV9HwAQFBSUadvUfqRSKRwdHVXqh8Ru3ryJNm3aQBAEnDx5Eo0aNcrT/lP/yJBIJErXIqbcSftHnI6OjkrH8prUHnVP05pdvB41IyfXEqD666gqfeW2H/rPjBkzsHDhQri5ueHYsWN5/uZJbn7PU9Zy+/3lNakdMTEx2LVrFwwNDbOcLlPdeE1+per/GHytzN/CwsIAfP1bv3///tk6ZsSIEdi6dSu6d++OJ0+eaDI9rQkPD8eMGTNQs2ZNmJiYwNzcHK6urli5cmW2ptXPLj8/P3Tu3Bm2trYwNDRE+fLlMXDgQNy6dUttfRCRasLCwtCkSRNMmTIFCQkJCvuHDRuGhw8fonfv3tDV1dVChnlHXSO/V69ejU6dOuHz589Ztk2/tMz58+dz1OfcuXNzdJw69erVS7T98uVLpdO4k+oEQcCdO3cwfvx42Nvbo02bNti+fbvSGRqArx9GmD59Oh4+fIj27dvncbZEeY/v/BIBaNWqlfz+nTt3MmyX9p+vtMdkR7169eRT0GXWh0wmw927dwEArq6uBX59HG26ffs2PD09kZycjBMnTqit8P3lyxfMmzcvw09epkpKSpKPtrCysmKxTQU+Pj6YN29elp8GTfspV2tra5X64DWpHZGRkdi7dy+MjIzQt2/fXJ+P16P22drayj+Vntm1BPz3OmpnZ4fKlSur3FdevF7Tf2bNmoV58+ahWbNm8PX1zdHasxm5cOEC5s2bl+WbP7n5PV+UzZs3D0eOHMmyXer3VyqV5mi0Dq9J7dizZw8iIyPRo0cP+awmucVrMvty8j8GXyvzt9QPdtnY2Kg01byrqyt2796N7777Dg8fPtRUelpx/fp1ODk5Yd68ebCxscFvv/2GadOmITo6GmPGjEGjRo3w7t27XPUhk8kwbNgwdOjQAZcuXYKXlxdWrlwJT09P7Nq1Cw0bNsTKlSvV9IiIKLsiIyPRtm1bXL9+XWFfhQoV4O/vjw0bNqBEiRJayC7vpR/5/ejRI6WjaTPz22+/4ccff1SIV6xYEWfPnkWbNm1E8YMHD8rvf/z4ETdv3lSpPwBo3759vnjfo3bt2gp/M/r6+mopm4IvJSUF9+/fl8/KUKdOHfz+++8ICQnJ8BgTExP0798f9+/fx9y5c/m+JhUZ2v8NSJQP9OjRQ74ejb+/f4btzpw5AwCwsLBAixYtVOrDwMAAnTt3BvB1WrWM1lW8evWqfF/Pnj1V6oP+c+/ePXh6eiIxMRHHjx9H48aNFdrMnj1btG5hdn3+/BkzZszA7t27M2138+ZNJCUlAQCaNm2qcj9F2YEDBzBjxowsp4VMO1WUqt9jXpPasXPnTsTExKBPnz4oXrx4rs/H6zF/SL02Xr9+neH0n2/fvsXjx48BiF93VdGxY0f5P2rZeb3W09NDly5dVO6HgPnz52P27Nlo0qQJ/Pz8lI74rlevHmbPnp2j8589exYzZszIcrRcbn7PF2UzZszAunXrMm0TEhKCwMBAAEDdunVz9OEGXpPaoYkZVHhNZk9u/sfga2X+lfohg5wsi+Po6Ih9+/ahX79+WX6woaB48+YNOnbsiJCQEIwdOxanTp3CqFGjMGHCBNy4cQMtW7bE7du30blzZ6UjQrNr2rRp2LRpEywsLHDt2jX8+uuvGDZsGDZu3IgjR45AJpNh7Nix8Pb2VuOjI6LMxMXFoXPnzgozL0gkEowbNw737t0rch+YSjujCgBER0er9Pv+jz/+wJQpUxTiPXv2xK1bt9CyZUt069ZNtM/X1xdxcXHYt28fLCwscpT36NGjc3ScukkkEoVRxn5+flrKpuAJCQnB4cOHMXXqVLRq1QolS5aEk5MTpkyZggcPHmR4nI6ODtq1a4edO3fi/fv32Lp1K6pWrZqHmRPlAwIRCYIgCL169RIACA4ODkJCQoLC/hcvXgg6OjoCAGHx4sUK++/fvy9UrlxZsLW1Ff7++2+lfdy/f1+QSqUCAGHDhg1K2wwcOFAAIJQuXVqIjo7O3YMqou7fvy9YWFgIRkZGGT4XgiAI/fv3F5T9GszquXz16pUAQChfvryQnJyc4fm9vLwEAAIA4dSpUzl7MEVU6nPz559/Ztjm6dOn8muycePGCvt5TeZPderUEQAI165dy1Z7Xo/a8csvv8i/X+fOncuyfWhoqGBiYiIAEKZOnaq0zezZswUAgqGhoRAUFKS0zdKlS4XixYsLnp6eQkxMjNI2kyZNEgAIpqamQnh4uML+iIgIwczMTAAgjBo1KsvcCztVn0tBEISFCxcKAARXV1chMjIyw3YAhP79+yvdl9VzmZrXzJkzMzz/x48f5c9luXLlhMTExGzlXxip+jymXiNfvnzJsM3MmTPl59y4caPSNrwm1S8n12Rad+/eFQAI1apVU+k4XpO5l9v/MfhamX/NmTNHkEgkglQqzfHf+y9fvhTq1KkjXLt2TXB0dJSfryBKfW+kbNmyQnx8vML+58+fy/8PW7JkSY76ePDggfz/sHXr1iltk3otaeL/sKCgIPnv4oyuNaKiJjExUejUqZP82ki9lS1bVrh8+bLG+pXJZEJycrKQlJQkJCQkCPHx8UJsbKwQExMjREVFCZGRkcKXL1+E6OhoITExUZDJZBrLJSNVqlQRfU8WLlyYreMuX74s6OvrK3xP586dK3ocISEhgkQiUWiX05ujo6OQkpKiqW+Hyg4cOCDKT09PT4iKitJ2WvlOTEyMcOHCBWHx4sVCjx49BHt7e5WfexcXF2HZsmXC+/fvtf1wiFSiib/NWPwm+n+BgYGCpaWlAEAYP368aF98fLzg7u4ufxGJi4tTOL5Pnz7yC9TV1TXDfiZPniwAECwtLYUXL16I9p08eVL+D+C+ffvU88CKmIcPHwpWVlbyN+/OnTuX4a1NmzZK35jK6rlMLbYBEP73v/8p/cN769at8j9cv/32W4081sIs7RsdT548Udj/8eNHwcXFRQAgGBkZCbdu3VJow2sy/7l+/boAQHB2ds72MbwetSMnxZl169bJ37C/fv26aN+dO3cEY2PjDD9AJgiCEB0dLejq6sr7zegDKREREfI3H3r27Cn6p14mkwn9+vWTF2bCwsKy94ALMVWfyyVLlsh/Jx45ciTT19GMit/ZeS5T8zI2NhYuXbqksD82NlZo3769AECQSqWCn59fTh5+oZGT4jcAoXfv3ko/1Hny5EnBwMBAACA0b95cSEpKUmjDa1Izclv8/uGHHwQAwrJly7J9DK/J3FPH/xiCwNfK/CoiIkKwsrISpFJpht/77Hj16pXg7OwsmJmZFdji99OnT+V/N0+fPj3Ddh4eHvK/F5S9hmTl+++/FwAIxYoVy/CDdhcvXpT/rC9fvlzlPjLD4jeRWEpKitC3b1+lxbSVK1cK+/btE/78809h5cqVwoIFC4Sff/5ZGDNmjDB48GChd+/eQocOHQQ3NzfBxcVFqFq1qmBrayuUKFFCMDY2FoyMjARDQ0PBwMBA0NPTE3R1dQWpVJqrYq+urq5gZGQklChRQrCwsBBsbGyEcuXKCZUqVRKqVasmODs7C/Xq1RNcXV0FNzc3wcPDQ2jXrp3QpUsXoUePHsK3334rDBw4UBg1apQwadIkYdasWcKiRYuENWvWCFu2bBH27t0rHDt2TDh79qxw9epVoXnz5qL+W7ZsmeX3NDo6WihbtqxC7hn9DdekSZMcfz/S37Zv367mn5Dc+fLli6CnpyfK8fDhw9pOS2uSk5OFoKAg4eLFi8Kff/4pDB8+XKhdu7b8g2Wq3sqWLStMmzZNePTokbYfGlGOaeJvM10QEQCgbNmy8PHxQbdu3bB06VI8ePAAnTt3RlxcHLZt24b79++jdu3aOHr0KAwNDRWOT7vei5DJOsULFizAx48fsXnzZjRo0ADDhw+Hg4MDbt68iS1btkAqleL333/n9Mo5EB8fD3d3d3z48AEAMGfOHMyZM0fl82T1XJqYmKBixYp48eIFfv/9d5w9exbdu3eHnZ0dPn/+jOPHj+P06dMAgAEDBmQ57Sgpql69OvT09BAaGoratWujT58+qF+/PvT19REQEIC//voLYWFhKF26NPbu3Ys6deoonIPXZP6TOk3r8OHDs30Mr8e8s2PHDvn9e/fuye+fPn0awcHBAIDSpUvD09NT6fEjRoxAaGgo5syZg5YtW2LIkCGoUaMGHj9+jE2bNiEmJgYTJkzAhAkTlB4vfP1QpmhbmRIlSsDX1xcdOnSAt7c33rx5g2+//RYSiQT79u3DpUuXUL58efj4+OR4iriCLqfP5eHDh+XPT1hYWI6nwc3Oc1m5cmUYGRkhJiYGbm5u+Oabb9CsWTMYGxvjxYsX2LFjBwIDA2Fqaoo///wT7dq1y1EuBVlurklnZ2fcvXsXe/fuxc2bN9GnTx9UqFABMTExOH/+PA4ePAhBEORT4enqKv5byGtSfXL7+zVVbGwsdu7cCUNDQ3h5eWW7f16TuaOu/zEAvlbmVyVKlMChQ4fQrl07zJkzBy4uLmjZsqXK53FwcMDRo0fRsmVLREREqD/RPLB//375z5WHh0eG7Tw9PXHmzBmEhYXh/PnzmbZNLyEhAT4+PgCAhg0bZrjOuqurK0xMTBAdHQ1vb2+MGTNGhUdCROkJgoCIiAi8ffsWwcHB8q/BwcHYvHlzhsf99NNPeZhl9iQnJ+doqQp1OXfuHCQSCczMzGBkZARjY2PRVyMjIxw5ckThOIlEgmLFimH79u2itjExMbh06ZJacmvWrBm+//57tZxLXYoXL45mzZrh7Nmz8pifn1+hXXYlMTERQUFBeP36NQIDAxVuQUFBuf75LVeuHDw9PdG3b180a9YsX6zvTpTvqKWETlSIhIWFCT///LNQvXp1wdjYWChZsqTQoEEDYfny5UpHzqS6e/euUKlSpUynWE7L19dX6Nixo1CmTBnBwMBAKFeunODl5SXcvHlTnQ+nSPn8+XOOPiGXXnaeS5lMJvj7+wtjx44VGjVqJJQqVUrQ1dUVTExMhKpVqwpDhgwRrly5oumHXKiFhIQIa9asEbp27SpUrFhRMDIyEvT09AQrKyvB3d1dWLZsWabT8fKazF8iIyMFExMTwdjYONNpeNPj9Zh3svP70s3NLcvzXLp0Sejdu7dga2sr6OvrCzY2NkL37t2Fs2fPZnnsokWL5FO5ZjW9ZXR0tLBw4UKhTp06gqmpqWBqaio4OzsLc+fOVelnrDDK6XO5bNkylV9DM5r2PDvP5efPn4UtW7YIvXv3FhwdHQUTExNBV1dXsLCwEJo0aSLMnTtX+PDhgxq/MwVLbq/Jq1evClOmTBGaNWsmWFlZCXp6eoKRkZFQoUIF4fvvvxdOnDiRZQ68JtVDXb9f//zzTwGA0LdvX5Vz4DWZc+r6HyMtvlbmT48fPxaaN28u6OrqCj/99FOOf96DgoKESpUqFciR36kjugEIERERGbY7deqUvF1G0/hnJO2I7rFjx2batnHjxgLwdcaJ2NhYlfrJDEd+U2Elk8mEFy9eCPv27RN+/vlnoV+/fkLLli2FKlWqCEZGRjl6PeOtYN1GjRolbNq0Sdi5c6dw+PBh4dSpU8LFixeF27dvC0+ePBGCg4OFT58+CfHx8Xk6hfzixYtFebq4uORZ37klk8mE2NhYISQkRHj8+LFw7do14dSpU4K3t7ewdu1aYfLkyUKfPn0EV1dXwcbGRq1T2ANfl7Fxd3cXpk2bJhw5ckQICQnR9reESO008beZRBAyGQ5HRERERERERERURFy4cAE7duzA9evXce3aNRgYGKh8jrdv36JVq1Z48uSJBjLUHGtra7x//x6mpqaIjIzMsN3jx49RrVo1AEDnzp2VjnDMyIYNGzBixAgAwNKlS/G///0vw7Z9+vTB3r17AQC3bt1SOuNXTgQHB8Pe3h4AEBQUBDs7O7WclygvCYKAN2/e4MaNG7h58yZu3LiBGzdu4PPnz9pOjQoIqVSKYsWKwdDQEIaGhqL7GcWy08bAwAC6urrQ0dGRfz137hxmzJgh6v/JkyfQ1dVVaKvsq0QikY/4T0lJkd/P6S02NhZfvnyR3yIjI0Xb6W9JSUl59pzUqlULDRs2lN8cHR2ho6OTJ/0TaYsm/jbjtOdERERERERERFQkXLlyBXFxcWjZsiUkEonC/ubNm6N58+a56sPW1rbAFb4TEhLw/v17AF+XYshM2v2vX79WqZ+07VXtJ7vF79QlJTISEhKSrfMQ5ReCIODt27fyAndqsTs8PFxjfero6MDU1BQmJibZvhkbG4vu6+vrQyqVQiKRQCKRyO+n/5rZvtTpnFNSUpCYmIikpCQkJSXl+n58fDxiY2MRGxuLxwUNPwAA/iJJREFUmJiYTO/HxcVp7PusTTKZDDExMYiJidFK/1WrVtVKv/mFoaEhypYtKyp2u7i4wNjYWNupERUKLH4TEREREREREVGhN2bMGKxevRoA0KlTJxw+fFi7CeUjUVFR8vuGhoaZti1WrJjS4/JLP6kjh4gKMkEQcPPmTezatQve3t5ZfqhDFVZWVrC2tsbdu3cV9j169Ah2dnYwMTFR+gGhokgmk+HWrVuoX7++KP7LL7+gYcOGokL5gQMHcObMGVG7unXrwt7eHjExMQr7qPAqUaIEypUrl+HNysqK1xiRBrH4TUREREREREREhd6WLVuQuvrfhQsXVD5+165dMDExQefOndWdmtalHdmor6+fadu0+2NjY/NlP0QF1fPnz7Fr1y7s2rUrxzNIWFhYoF69eqhatSrs7OzkN1tbW9jY2MDAwAAHDhxAjx49RMcdPHhQvqQB/UcqlaJevXpwdnYWfWDg3bt3aNeunahtQECAqMDduHFjXLp0CQBw584dtGjRAl++fFFrfm5ubihdunSWo9hTUlLU2m9RZWhoiBIlSqBEiRIwMzODvb09ypUrBwcHB1Fxu0SJEtpOlahIY/GbiIiIiIiIiIgKPQsLC/n0rl5eXiof7+Ligt69e8Pb2xtr1qxB8eLF1Z2i1qQdZZ2YmJhp27T7jYyM8l0/QUFBme4PCQlBgwYNsn0+Ik0LDQ3F3r17sXPnTly/fl2lY83MzFCvXj35zcXFBWXLls10RKkgCJg3b54oVrNmTXTp0iVH+RcV3377raj4feDAAaxevVr0QZ3z58+Ljkktjr969Qpt2rRRe+EbAObPn48mTZpk2kYQBCQlJYmK4jExMUhISEB8fDzi4uIQHx8vuqWPZadN6i0lJUW+Nnfq17ycXl1PT0++Xriym4GBgbyAreotqw9uEVH+wOI3EREREREREREVeoMHD8aMGTMgkUgwfPhwlY+vWrUqrl69iu+//x516tTBwYMH4ezsrIFM856pqan8fnx8fKZt047eTntcfunHzs5OpZyItCExMRH79u3Djh07cObMmWyNyi1RogRcXFxExW4HBweVp04+fvw47ty5I4pNnz5dvr42Kde7d29MmTJFvv3p0yecPn0aHTp0APB1XfL0o/WbNWuGpKQkODk5ITo6Otc5lChRQqGA/u7duyyPk0gk0NfXh76+PkqWLJnrPHJi0qRJWLx4sXy7c+fO2LNnj0KRXNlXmUyWYSE7/Y0/x0QEsPhNRERERERERERFwKRJk3D8+HFcuXIFb968ydH0voaGhti3bx9at26NZs2awc/PD02bNtVAtnnLwMAAZcqUwfv37xEaGppp27T7HRwcVOonbXtN9kOUn124cAHDhw/H48ePs2xboUIFfPfdd+jduzeqV6+ulsLegQMHRNtVq1ZVmAKdFDk4OMDV1RVXrlyRx7Zs2SIvfr9+/RoJCQmiY6pUqQJLS8tcF751dHQwaNAgzJs3Dz169MA///wj35ed4nd+oGwa8LSzgRARqRM/BkNERERERERERIWenp4ejh8/jmbNmqFfv34KIx+zS0dHB926dUN0dDR69OiByMhI9SaqJTVr1gQAREVFZTo1b3BwsPx+jRo1ctQHkPX05Kn9SKVSODo6qtQPUX708eNHDB48GG5ubpkWvi0tLTF69GhcuXIFz58/x9y5c1GzZk21jWh99OiRaHvw4MHQ0dFRy7kLu759+4q2Dx8+jJCQEADKi9AtW7ZUy1TnAQEB2LhxI6ysrGBmZibal5fTiedGbGysaFvVZTOIiFTB4jcRERERERERERUJpqamOHPmDHr16oWmTZti69atKh3/9u1brFixAr/88gsAICwsDAcPHtRApnmvVatW8vuZfTDg1q1bSo/Jjnr16smnMM+sD5lMJl9b19XVlaMDqUATBAHbt2+Ho6Mj/vzzT6VtjI2N0bdvX/j5+eHt27dYtWoVGjVqpPKU5tnJJX3hPe2HUihz33//vahom5KSIn9OlRW500+DnlNpR5Tr6oon801KSlJLH5qWdikLgKO+iUizWPwmIiIiIiIiIqIiQ1dXF6tXr8aOHTswceJEdO3aFW/fvlXa9u3bt9i5cyeGDRuGKlWqoGzZsvjf//6Hz58/y9t8+vQpr1LXqB49esgLbf7+/hm2O3PmDADAwsICLVq0UKkPAwMDdO7cGQBw7dq1DKcCvnr1qnxfz549VeqDKD959uwZPD094eXlhfDwcIX99erVw65duxAaGort27ejXbt20NPT01g+Hz58QEREhCjGmRWyr0SJEvj2229FsU2bNiElJUUta3oDwJIlSxTW5fbz85PfT//zkZycrJZ+NS39yG8Wv4lIk1j8JiIiIiIiIiKiIqdr1654+PAh9PT0UL16dSxduhQ3btzAli1bMGTIEFSqVAlly5aFl5cX/vjjDzx//hyCIEAQBHmRWCqVomXLllp+JOpRuXJleaF5+/btSExMVGjz8uVLnD17FgAwefJkhRGIDx48QJUqVWBnZ4cLFy4o7WfKlCmQSqWIi4vDrl27lLbZvHkzAKB06dIYMmRIjh8TkbYIgoBFixahVq1aSj9MYmpqipUrV+Lq1av49ttvYWxsnCd5pR/1bWhoiLJly+ZJ34XF8OHDRduBgYE4efJkrqelnz9/PlJSUjB+/Hj07t1btO/48ePy++nXFS8oU9anH/nNac+JSJNY/CYiIiIiIiIioiLn8ePHOHXqFGxsbCCVSjFp0iQ0bNgQQ4YMwZYtW/Dy5Ut5sRuAaPphQRBQo0YN7Nu3D3Xq1NHWQ1C7xYsXw9LSEq9fv8a0adNE+xISEjBs2DCkpKTAxcUFo0ePVjh+/vz5ePbsGd6+fYspU6Yo7aNmzZqYOHEiAGD69Ol4+fKlaP+pU6ewbds2AMCqVavyrChIpE5z587F5MmTFQqVANCtWzc8evQIP/74Y54XLtMXv6tUqVJgiqf5Rb169RR+769fvx7v37/P0fmmTZuGpKQkTJs2TV5Ab9eunajNxYsXERkZCQAIDQ0V7bOysspRv3ktKipKtM2R30SkSbpZNyEiIiIiIiIiIir49u7di927d+Pvv/+WFxJSpRa5ga+FbolEIo8JggBra2s0b94cbm5ucHd3R+XKlfM097xQtmxZ+Pj4oFu3bli6dCkePHiAzp07Iy4uDtu2bcP9+/dRu3ZtHD16FIaGhgrHy2Qy+f2038/0FixYgI8fP2Lz5s1o0KABhg8fDgcHB9y8eRNbtmyBVCrF77//zinPqUA6ePAgfvnlF4W4nZ0dVq9ejS5dumghq6/Sr0HNKc9VJ5FIMGLECNEIcB8fH/j4+Kh0nu+++w6LFi2Cra2twr5WrVpBT09Pvp53cnIy/P390a1bN4Xid+nSpXPwKPKWIAi4evWqKGZjY6OlbIioKGDxm4iIiIiIiIiICr2BAwfir7/+AqBY6E4vdWrzpk2bwsvLC25uboWy2K1Mw4YNce/ePSxfvhyHDh3CpEmToKenhypVqmD58uUYOXIk9PX1lR77888/49atW4iLi8Nvv/2WYR9SqRSbNm1Ct27dsG7dOvz555/4/PkzypQpgz59+mDMmDGoW7euph4ikcbcu3cPXl5eophEIsGYMWMwZ84cmJqaaimzr9LPtFClShUtZVKwffvtt5gwYYLCaObsqF27NlatWoWmTZtm2MbU1BTNmjWTLzMBAP7+/mjdujUCAwNFbQtCEfnhw4cICQkRxVq1aqWlbIioKGDxm4iIiIiIiIiICj1vb295UTv9qG49PT3UqVMHjRs3RpMmTVCuXDmMHj0ad+7cwYgRI4pM4TuVhYUF5s2bh3nz5ql0nJOTE549e5bt9u3bt0f79u1VTY8oXwoLC0Pnzp0RExMjii9duhTjxo3TUlZiBgYGou3UkcWkmkePHqlc+JZIJFi3bh2GDBmSranm3d3dRcXvS5cu4d9//0VKSoo8pqurC2dnZ5Xy0IbTp0+LtsuWLVvkXleJKG+x+E1ERERERERERIWepaUl3rx5A0EQYGBggObNm6NFixZo0qQJGjRooDCN96VLlzBjxgx4eXnh3LlzWLVqldKpvomIEhMT0aNHD4VRuQMGDMDYsWO1k5QS1tbWou30o3Epc9HR0fj555+xatUqlY8NDw+Hubl5ttunHxl+7949+Pn5iWLOzs4wMjJSOZe8lr747enpqXTWFSIidWHxm4iIiIiIiIiICr2GDRvizZs3GDJkCJYsWYLixYtn2l5HRwcLFixAmzZt0K9fP9SvXx/e3t5cI5eIFIwdOxYXLlwQxVxdXbF+/fp8VeRj8TvnHjx4gB49eiism54dNWvWVKnwDQD169cXrfstk8mwePFiUZvGjRurnEtei4mJwd9//y2KtW7dWkvZEFFRIdV2AkRERERERERERJrWtm1bAMD8+fOzLHyn5ebmhnv37qFq1aqoX7++fN1wIiLg64jcdevWiWJ2dnY4ePCgwjTj2pZ+fWgWv7PnyJEjaNiwYY4K38DXnwdVFStWDHXr1s20Te/evXOUT15avHgxYmNj5dsSiQTu7u5azIiIigIWv4mIiIiIiIiIqNDr3LkzdHV1ERcXp/KxJUuWxP79+7FkyRKMGDECQ4YMQWJiogayJKKC5uDBg6LtYsWK4ciRIyhTpoyWMsoYR36r7q+//kL37t1FBVwAMDQ0xMKFC7N1jpwUvwGgUaNGGe5zdHTM9yO/g4ODsWjRIlGsbdu2KFWqlJYyIqKigsVvIiIiIiIiIiIq9MzNzdGhQwdcuXIlx+cYPnw4zpw5A29vb3h4eCAqKkqNGRJRQeTr6yvaHjFiRJYjdrUlffH748ePSEhI0FI2+Z+Pjw8GDBiAlJQUUbxu3bq4d+8eJk+enK3z5LT4Xb169Qz3DR06NF9Nqa/M1KlTRR84k0ql+O2337SYEREVFSx+ExERERERERFRkfDDDz8gPDw8V+do3LgxZs6ciYsXL6JHjx5qyoyICqKQkBDcuHFDFOvUqZOWssla+uI3ALx//14LmeR/Dx8+xLfffgtBEETxAQMG4NKlS6hcuTJiYmKydS5bW9sc5eDo6Kg0bm9vjxEjRuTonHnl+vXr2LFjhyg2bNgw1KpVS0sZEVFRwuI3EREREREREREVCR4eHhg1alSuz/Pq1SsAwJkzZ/DPP//k+nxEVDAdP35ctF28eHE0bdpUS9lkzczMTGEd8sePH2spm/wrOTkZAwYMUChujx8/Hn/++ScMDQ0BQGFEeEbKly+fozzKli2rNP7777/DyMgoR+fMC2FhYejfv78oVrx4ccyZM0dLGRFRUcPiNxERERERERERUTa9fv0amzZtkk83m37UJxEVHceOHRNtt2nTBnp6elrKJmsSiURhSnY/Pz8tZZN/bdiwQeF3u5eXFxYvXiyaalxHRydb56tUqZLKOcTExCj9sJaRkRG6d++u8vnyyufPn+Hp6anwoYqZM2fC0tJSS1kRUVHD4jcREREREREREVE2HTlyBElJSfJtY2NjLWZDRNqSkJCA06dPi2IdOnTQUjbZlz7HY8eOKUztXZQlJiYqrEvt6OiIDRs2KKyxnd0POqi65veHDx/QqlUrpR9MWLt2bb5d6zsqKgrt2rXD3bt3RfEaNWpg9OjRWsqKiIoiFr+JiIiIiIiIiIiyqVGjRtDT04MgCChTpky+HoFHRJpz48YNREdHy7clEgnatWunxYyyJ33x++XLl3jy5ImWssl/jh49iqCgIFFs3bp18qnO09LT04Ourm6W58zuCHEAuHDhAho2bIjr16/n+lx5KTY2Fh07dsS1a9dEcQcHB5w4cUJhun0iIk1i8ZuIiIiIiIiIiCibGjZsiMePH+PYsWN48OABSpUqpe2UiEgL0ha+AcDS0hJWVlZayib7nJ2dYWtrK4r5+vpqKZv858CBA6LtJk2aoEWLFkrbSiQSmJqaqqXf2NhYjB07Fi1atMDr168zbPflyxe19KdOjx49QvPmzXHhwgVR3NbWFv7+/iqPfCciyi0Wv4mIiIiIiIiIiFRQvnx5tG/fHmZmZtpOhYi0JP0HXz5//lwgpg+XSCRo3769KJZ+7fKiShAEnDp1ShTr169fpsfktvidnJyMTZs2oUqVKlixYkWWP0PJycm56k+dUlJSsHTpUtStWxc3b94U7bO0tMSZM2dQoUIFLWVHREUZi99ERERERERERERERCpIX/xOSkpSGA2eX3Xs2FG0ffHixXw5ojivvX37Fp8+fRLFWrdunekx2Sl+JyYmKsQSEhKwY8cO1KhRA8OGDcPbt28V2jRt2lRhNoH88qGrly9fomXLlpgwYQISEhJE+8zMzHDmzBk4OjpqKTsiKupY/CYiIiIiIiIiIiIiUoGyJQ8+fvyohUxU5+7uLlqDOTk5WWHEc1H0/Plz0baJiQkcHBwyPSYwMDDL8+7Zs0d+Pzg4GDNmzEDZsmXRr18/PH36VKG9oaEhfv/9d5w/f15hrXFtF79jY2OxYsUKODk54Z9//lHY7+joiHPnzsHJyUkL2RERfaWr7QSIiIiIiIiIiIiIiAoSU1NT6Orqiqah/vjxY5bF0vzA2NgYLVq0wMmTJ+WxQ4cOoWfPnlrMSvs+f/4s2i5TpgwkEolCu/fv3+PEiRPYuXNntkb7//zzz0hOTsbevXvh7++PlJSUDNu2atUKa9asgaOjIwRBUPhAhbaK358/f8aaNWuwcuVKhIWFKeyXSCQYN24c5s2bh2LFimkhQyKi/7D4TURERERERERERESkAolEglKlSiE0NFQeCw8P12JGqunYsaOo+L1//34sXboU1tbWWsxKu2JjYxVit27dwsOHD/Hw4UM8evQIDx8+xMuXL1U6b3BwMAYPHpxpm3r16uHXX3+Fh4eHPPb06VPExMSI2pUtW1alvnPr7du3WLZsGTZs2JBhod/BwQFbt26Fm5tbnuZGRJQRFr+JiIiIiIiIiIiIiFRkYWEhKn4XlGnPAaB3796i9ZqTkpKwZs0azJs3T8uZaU/6taufP38OFxcXjfbZokULjBkzBl26dFEYZX7p0iXRtq2tLezt7TWaDwCkpKTgn3/+wV9//YUdO3YgKSkpw7bDhg3DkiVLsrX2ORFRXuGa30REREREREREREREKkq/7nd21n/OLywtLeHl5SWKrVu3TmGkcVEREBCQ5ehsdTE2NsbIkSNx//59nDt3Dl27dlU6vfrFixdF240bN1baTh2SkpJw+vRpDB8+HNbW1mjZsiW2bNmSYeG7TZs2+Pvvv7FhwwYWvoko32Hxm4iIiIiIiIiIiIhIRY6OjqLtQ4cOaSmTnBk3bpxo+9OnT/jrr7+0lI12zZw5M0/62bt3L0JDQ7F27VrUrFkzw3ZRUVHYv3+/KNa4cWO15pKQkAA/Pz8MGjQIZcqUQevWrbFx40ala3oDgFQqxbfffovbt2/jxIkTaN68uVrzISJSFxa/iYiIiIiIiIiIiIhU1L17d9H2v//+ixcvXmgpG9VVq1YN7du3F8WWLVsGmUympYy0Jy9GvBsZGcHT0xPGxsZZtt22bRuioqLk21KpFF27ds1V/58+fcKxY8cwdepUNG/eHCVLlkSHDh2wZcsWfPr0KcPjDA0NMXLkSDx79gy7du1C7dq1c5UHEZGmcc1vIiIiIiIiIiIiIiIVtWrVChYWFggPD5fH9u3bh6lTp2oxK9X873//g5+fn3z72bNn8PX1RadOnbSYVd5ITk7Gw4cPcf36ddy+fVvj/cXGxmLz5s2YOHFipu0SEhKwYsUKUaxz585wcHDIdl8ymQwvXrzApUuX5LeAgACV8q1duzZ69OiBIUOGoHTp0iodS0SkTRJBEARtJ0FERERERERERESkacHBwbC3twcABAUFwc7OTssZUUE3cuRIrF+/Xr7t5OSEu3fvajEj1QiCgNq1a+PevXvyWIsWLXDu3DktZqV+giDg9evXuH79uvx28+ZNxMXFqeX8+/btQ6tWreDg4IDo6OgM25UtWxYvX76Ejo5Ohm2mTp2KhQsXimJnz55Fy5YtFdqmpKTg5cuXCAgIwKNHj/Do0SMEBAQgICAgR6PZGzRogO7du6N79+6oWLGiyscTEalKE3+bceR3ASUIAtasWYMpU6YgJiYG586dQ4sWLdTah5+fH9avX4+bN2/i48ePsLa2RosWLfDjjz+ibt26au2LiIiIiIiIiIiIqKDp06ePqPh97949PHr0CNWrV9diVtknkUjwv//9DwMGDJDHzp8/j1u3bhXo94CTkpJw8+ZNnD9/HhcvXsT169czXMs6p7p06YKBAweic+fOkEgkWLlypajwLZVKcejQIXTp0kUee/PmDU6ePKkw3Xyqy5cvY9GiRaKYo6MjSpcujZMnTyIoKAhv3rzB06dP8ejRIzx9+hQJCQm5ehxNmjRB9+7d8c0336BcuXK5OhcRUX7Akd8F0IsXLzBo0CBcuHBBHlNn8Vsmk2HEiBHYtGkTzM3NMWzYMJQvXx43btzAtm3bIJPJsHTpUvz0009q6Y+IiIiIiIiIiCgvcOQ3qVtKSgrKli2Ld+/eyWMzZ87E7NmztZiVahITE+Hg4ICQkBB5rHfv3tizZ48Ws1KNIAh48uQJfH19cfr0aVy8eFFt63gPHz4c3377LXR0dCCVSmFrawsbGxvo6enJ27x9+xbOzs74+PGjPNa6dWucPHkSLi4uuHXrljzetWtXHDp0CDExMQgPD0dYWBjCw8Nx+fJlzJ07Vy05Z8TQ0BANGjRAkyZN0KRJE7i6usLc3FyjfRIRZYYjv4u4tKO9dXR00KhRI1y9elXt/UybNg2bNm2ChYUFrly5gkqVKgEAhg0bhm+++QYdOnTA2LFjYW1tjZ49e6q9fyIiIiIiIiIiIqKCQEdHBz179hSt0bx3717MmjULEolEi5lln76+PkaPHo2ff/5ZHtu7dy/Gjx+P+vXrazGzzMlkMly6dAne3t7w9fXFy5cvc3SeihUron79+qhfvz7q1auHIUOG4NmzZ/L91tbWcHNzU3psQkICgoOD4erqKip8A4CZmRnmzp2rsNb24cOH8+xno3Tp0vJCd5MmTVCnTh3o6+vnSd9ERNrCkd8FyKxZszB79my0adMGmzZtwh9//CH/BKG6Rn4/fPgQTk5OkMlkWLduHUaMGKHQZsCAAdi2bRtKly6NFy9ewNjYONf9EhERERERERERaRpHfpMmXL16Fa6urqLYrVu3UKdOHS1lpLpPnz6hfPnyiIyMlMeaNm2KCxcu5Lsi/pMnT/DXX39h586dCAwMVPn4qlWronr16qhRowaqVauGYsWKITo6GjExMYiOjsbEiRMVjmndurWoTVRUFL58+ZLrKcfVxcLCAtWrV0f16tVRrVo1+VcbG5t89/wREaXFkd9FnCAI2Lx5MwYPHqyxPn799VfIZDIUK1YM33//vdI2Q4cOxbZt2xAaGorNmzdjzJgxGsuHiIiIiIiIiIiIKD9r2LAhypUrJyrE/vbbbwVq2nBzc3NMnz4dkyZNkscuXryIgwcPonv37nmejyAIiI+PR0REBD5//ozPnz/jyJEjWLx4ca7P/eTJEzx58gSHDh3K9jGnTp3Kdb+5VapUKdjb26Ns2bJwcHAQFbktLS21nR4RUb7Bkd8FiCAIok9ppY4EB9Qz8jshIQFWVlaIjIxEixYtcO7cOaXtZDIZSpQogejoaDRp0gQXL17MVb9ERERERERERER5gSO/SVNmzJiBefPmiWL//vsv6tX7P/buO6yJrAsD+Bu6CKJYsABiQ8Xexd5Q14q9YVcs69rWrmt37d219957F7uiYC+IXREUFVFUFGnJ98f9wAyhBAiEwPt7njzLnJnMnKwRMzn3nltRSxklXmhoKIoXL45Xr15FxwoWLIhHjx7B2Ng4WedWKBQIDg7G+/fv8eHDh+hHzO3Pnz8jKCgIQUFBCAsLS+5L0llDhw5F6dKlo4vd1tbWMDU11XZaREQax5nfGVxKtye5efNmdFubsmXLxnmcnp4eSpcuDXd3d1y7dg0hISHIlClTiuZGRERERERERERElFYNGzYMy5YtQ1BQUHRs9OjRcHNz05m208bGxpgzZw7atWsXHXv58iWWLl2KESNGJPj8kJAQvH79Gi9fvsTLly/x4sWL6J9fvXqFnz9/pmT6aUahQoWQJUsWWFhYwMLCAlmzZkXOnDkxb968BJ9bt25d7Nu3D9myZUuFTImI0icWvynaw4cPo3+OGmURl6j9crkcjx8/1qn1a4iIiIiIiIiIiIg0ydLSEmPHjsXo0aOjY+fOncPp06fRqFEjLWaWOG3atEH16tVx9erV6Ni0adPQvXv36NbaCoUCb968wa1bt3Dz5k3cunULXl5eePv2rbbS1roOHTpg9erVyJIli8q+0NBQHDp0KN7nGxgYYNq0aRg5ciT09fVTKk0iogyBxW+K9vr16+ifrays4j1Wef/r168TVfz28/OLd/+vX7/w+PFjWFlZIWfOnDAw4NuUiIiIiIiIKC2KiIhAQEAAAKBUqVIwMTHRckZERNrz119/YcmSJZIi8OjRo+Hk5AQ9PT0tZqY+mUyGhQsXonLlytGxb9++oWLFinBxcYkueAcGBmoxS6B27drIlSsXMmfOjNDQUFy/fl3Srj211KpVC//++y+qV68uiUdGRuLGjRvYs2cPNm/ejE+fPsV5jiJFimDbtm2oVKlSSqdLRJQhsKpI0b5//x79c0I3q8ptzpWfp46EZpUTERERERERke7x9PTkF/dElKFlypQJU6dORe/evaNj9+7dw/bt2+Hi4qLFzBKnUqVKqFevHs6dOxcde/PmDf7991+NnD9z5sywsrJC7ty5YWVlJXncuXMHa9asUXmOubk5pkyZgkGDBsHQ0DA6vmnTJgwYMAAhISEayU0dFhYW6NixI3r37o2KFStGt7UPCgqCm5sbjh49iuPHj0cPDkvIw4cPYWRklJIpExFlKCx+UzTlDwgJ/WOrvD+jrNVCREREREREREREFJ/u3btjwYIF8PLyio5NmDAB7dq1g7GxsRYzS9iHDx+wdu1aHDx4EDdv3kzyeXLmzIlChQqhYMGC0f8tUKAAbGxsYGVlhcyZM8f6vBcvXmDcuHEq8Xr16mHLli3ImzevJB4QEIA+ffogIiIiybkmRtWqVTFz5kxUr14d+vr6ePr0KTZu3Ah3d3dcu3YNjx49gkKhSNQ5c+XKpTNdAYiIdAWL3xRNeTZ3WFhYvMcq7zc1NU3UdXx9fRPcX61aNQBi1HiePHkSdX4iIiIiIiIiSh3+/v7RrXGj1oIlIsrI9PX1MXPmTLRo0SI65uPjgxUrVmDo0KHaSyweL168wLx587BhwwaEhoaq/bxs2bKhQoUKqFChAsqXL49ixYqhQIECMDc3T1IeAwYMQFBQkCTWr18/LF26VDLbO8rz58+TXfjW19dHtmzZYGlpiWzZsiF37tzRBftBgwZJjjU0NMTmzZsxevRoeHl54cePH4m6Vu3atVG3bl1Mnjw5Ovbx40fcunULVapUSdbrICKi31j8pmjKH0p+/foV77HKs8QT+2HG2tpa7WPz5MmTqOOJiIiIiIiISDsMDPg1ExERADRr1gw1a9bE5cuXo2PTp09Hz549YWFhocXMpO7du4dZs2Zh9+7dkMvlaj9vzZo1qFevHgoUKBDd8ju5PDw8cObMGUmsbdu2WLFiRZzXKFOmDHLkyBHvetoNGjRAx44dYWtrC1NTU2TOnDn6YWZmhvDwcLx//x7+/v549+4d/P394ePjgyNHjqic6/Lly5I/U3U4ODigZcuW6NGjB+zt7QEAu3btgre3t+S8LH4TEWkO70oomp2dXfTPHz58iPdY5f3KzyMiIiIiIiIiIiLKyGQyGWbPnh3d3RIAAgMDMXXqVMyfP1+LmQkREREYP3485syZE+9xFhYW+Pr1q0rcw8MDffr00WhOixYtkmznzp0bGzZsiLe4bmpqij179qBFixb4/v17rMe4ubnBzc0tejtnzpywtrbG58+f8f79+0TNdFeHsbEx6tSpg6ZNm6Jp06YoWLCgyjG1atVSKX6PGDFCo3kQEWVkLH5TtJIlS0b/nFBrcj8/PwCAnp4eihUrlqJ5EREREREREREREekSR0dHtGrVCgcOHIiOLVy4EM7OzqhZs6bW8nr37h06duwY5wxmQ0NDuLi4wMXFBTVr1oSBgQGaNGmCkydPRh+zdu1adOjQAQ0aNNBYXhcvXpRsDx8+HGZmZtHb3759g6+vLz58+ICPHz9GPz58+IBChQrh7t27al0nICAAAQEBGss7b968qFatGhwdHVGtWjWUK1cuwbXda9WqhVWrVkVvX758GXK5nGt/ExFpCIvfFK1ixYowNzfH9+/f4/2wIJfLce/ePQDiQ5zyWuFEREREREREREREBMycORPHjh1DWFgYAEChUKB79+64d+9ektfFTo7z58+jY8eO+Pjxo8o+MzMz9O/fH0OHDkW+fPkk+1atWoUSJUogODg4Ota3b188ePBAUqBOKn9/f/j7+0tiFy5cwOXLl+Hj44M3b96orAWuDZUrV0bJkiWjHyVKlECePHkS3fo95uCHL1++wMvLC6VKldJkukREGRaHElE0Y2NjtGjRAoBoXaP8YUbZ9evXo/e1a9cu1fIjIiIiIiIiIiIi0hVFixbF9OnTJbFXr17h77//TvVcbty4gcaNG6sUvg0NDTF58mS8efMGc+fOVSl8A4Ctra1Ki/TXr19j/PjxSc5HoVDgwYMHWLp0KWrVqqWy//jx4zhy5Aju37+v9cJ3mTJlEBoaCg8PD6xbtw7Dhg2Dk5MT8ubNm6Q1z21sbFCgQAFJ7OrVq5pKl4gow2PxOwN5+PAh7O3tYW1tjUuXLsV6zJgxY6Cnp4eQkBBs37491mPWrl0LALCystL42i5ERERERERERERE6cXw4cNVZvquWbMGR48eTbUcgoOD0blz5+gZ6FHy58+PK1euYNKkSciWLVu85+jXr59KkXrp0qWJLto+fvwYY8eOhb29PUqXLo3Bgwfj+fPniTqHuoyNjZEjR44kP9/AwABDhw7F9evXYWRkpMHMRBdWZa9evdLo+YmIMjK2Pc9AZsyYgWfPngEQRW53d3eVY0qWLImRI0di9uzZmDBhAho0aICCBQtG7z99+jQ2bdoEQHy4yZw5c+okT0RERERERERERKRj9PX1sXHjRpQpU0bSabNPnz54+PBhsoqz6ho6dKhKgblp06bYvHkzLC0t1TqHnp4e1q5di9KlS+PXr18AxOzt3r174+7duzAxMYn3+d7e3pg8eTL27NkDhUKRtBcCwNLSErly5UKuXLlgZWUV/XPMbSsrK5ibm6vMzP727Rs8PT3x+PFjPHv2DM+fP4efnx+Cg4Ohr68Pc3NzFCpUCNWqVUObNm1gY2OT5Fzjkz9/fsn2mzdvUuQ6REQZEYvfOmbr1q3RP9+/fz/65zNnzsDPzw+AmJHt5OSk8ly5XB79c3wfMP79918EBgZi7dq1qFy5Mvr16wc7OzvcunULGzZsgJ6eHhYsWMCW50REREREREREREQJKFiwIBYuXIi+fftGxz58+ID+/ftjz549SWqdra6TJ09i3bp1kljVqlVx8OBBGBgkrjxQpEgRTJs2DSNHjoyOPXnyBFOmTMHMmTPjfN769evRv39/hIeHq30tc3NzDB48GAUKFED+/PmRP39+2NjYJFhkT0iWLFnQoEEDNGjQIFnnSS5bW1vJNovfRESaI1MkZ5gVpTp1PgjVrl0bFy5cUInfv38fbdq0iW5pHttaKsqOHz+OFStW4ObNm/jy5Qty586N2rVrY8iQIShfvnxSX0KC/Pz8okfU+fr6wtraOsWuRURERERERERJx3t40jV8z5K2KBQKNG/eHMeOHZPEt27dii5duqTYdZ2dnXHo0KHobTMzM9y9exeFChVK0vkiIyNRrVo1eHp6Rsf09fXh4eGBChUqqBw/a9YsjB07Ns7z2djYoF69etHdRqOMHj0as2bNSlKOuuDQoUNwdnaO3ra2toavr6/2EiIi0pKU+GzG4jelObwJISIiIiIiItINvIcnXcP3LGnT+/fvUbJkSQQGBkbHLCws8ODBgxRprx0REYHs2bPj27dv0bGlS5di0KBByTqvl5cXypUrJ5nJXapUKXh6ekpmZt+7dw/ly5eXdCQFxOxrV1dXtG/fHhUrVoRMJsOYMWMwe/bs6GPy5s0LHx+fRM9O1xW3b9+WDBbQ09NDeHg49PT0tJgVEVHqS4nPZvxNSkRERERERERERESUwnLnzo1Vq1ZJYl+/fkXPnj1VCsSacPPmTUnhGwDatGmT7POWKFECEyZMkMQePHiAMWPGSGJTpkxReV2DBw/G69evMXfuXFSqVCm602nnzp0lx717905llnx6EluROyXb3xMRZSQsfhMRERERERERERERpYI2bdrAxcVFEjt79iyWLVum8WudP39esu3g4IA8efJo5NxjxoxBmTJlJLHFixfj+PHj0duXL1+W7B8yZAgWL16MbNmyqZyvdOnSqFy5siQ2bdq0FBkUkBYEBwdLts3NzVn8JiLSEBa/iYiIiIiIiIiIiIhSydKlS5EvXz5JbMSIEbh27ZpGr/P27VvJdqVKlTR2biMjI2zbtk3S5hwAevTogffv3yMsLAyfPn2S7OvUqVO85/zzzz8l27du3cK+ffs0k3AaE7P4bWZmpqVMiIjSHxa/iYiIiIiIiIiIiIhSSdasWbFx40ZJLDw8HG3atIG/v7/GrmNhYSHZ/vnzp8bODYj25wsWLJDEAgIC0L17d+jr66sUdF+/fh3v+Tp37oxixYpJYqNHj8aPHz80km9awuI3EVHKYfGbiIiIiIiIiIiIiCgVNWjQACNHjpTE/P390bZtW4SFhWnkGtmzZ5dsf/78WSPnVda/f3+0aNFCEjt9+jSWLFmC6tWrS+KLFi2CQqGI81wGBgaYMWOGJPbq1StMmjRJcwmnEQ8fPpRsW1paaikTIqL0h8VvIiIiIiIiIiIiIqJU9u+//6JBgwaSmLu7O4YMGaKR88csfsdsQ64JMpkM69atU1lLfPTo0ShcuLAkdv36dWzevDne87Vq1Qo1a9aUxBYuXAhPT0/NJJxGnDlzRrIdc6AAERElHYvfRERERERERERERESpzMDAADt37oSdnZ0kvnLlSqxduzbZ58+dO7dk28vLK0Vmf+fIkQNbtmyBTCaLjoWHh+PkyZMqOQwcOBCPHj2K81wymQxr1qyBkZFRdEwul6Nz58749u2bxnPXhm/fvsHDw0MSizkIgoiIko7FbyIiIiIiIiIiIiIiLciePTsOHDiATJkySeJ//vmnSoE0sapVqwZjY+Po7YiICBw6dChZ54xL/fr1Vdq4v3jxAuHh4ZLYz58/0axZM7x9+zbOcxUtWhQTJ05UOVe/fv3ibZuuK06cOIHIyMjobSMjI9SoUUOLGRERpS8sfhMRERERERERERERaUnZsmVVZnqHhYWhdevWeP/+fZLPa25ujj/++EMS27t3b5LPl5Bp06ahQoUKklhgYCBy5Mghib169QpOTk7xtmEfNWoUHB0dJbGdO3dixYoVmktYC8LDw1UK+9WqVUPmzJm1lBERUfrD4jcRERERERERERERkRZ17twZw4cPl8TevXuHdu3aISwsLMnnbdu2rWT7zJkz+PLlS5LPFx8jIyPs2LFDpZD748cP5MqVSxLz9vZGrVq14OvrG+u5DA0NsWPHDmTNmlUSHzJkCC5evKjRvFPT6tWr8fTpU0nM1dVVS9kQEaVPLH4TEREREREREREREWnZ7NmzUa9ePUnsypUrKkXxxGjevLmk9Xl4eDiWLFmS5PMlpEiRIli2bJkkFhISAnNzcxQoUEAS9/b2RvXq1fH48eNYz5U/f36sX79eEouIiEDbtm3x+vVrjeadGj58+IDJkydLYhUrVkSHDh20kxARUTrF4jcRERERERERERERkZYZGBhg165dyJ8/vyT+33//YcOGDUk6Z5YsWdCiRQtJbP78+QgICEhyngnp3r27SkH3xYsXqFChAmxtbSVxX19fODo64vTp07Geq1WrVhg3bpwk9unTJzRt2hRBQUEazTslff78OdZW7/Pnz4eeHss0RESaxN+qRERERERERERERERpQI4cObB//36YmJhI4gMGDICnp2eSzjlx4kTIZLLo7e/fv2PmzJnJyjM+MpkMK1euRMGCBSXxvXv3YtiwYShWrJgkHhQUhD/++AMLFy6EQqFQOd+0adPQrFkzSezRo0do1aoVQkNDNf8CNOz79+/4448/8ODBA0nc2dkZtWrV0lJWRETpF4vfRERERERERERERERpRPny5bF69WpJLDQ0FM2bN8erV68Sfb6SJUvCxcVFElu+fDnevHmTrDzjkzVrVuzZs0fSch0AJk2ahA0bNqBy5cqSuFwux/Dhw9GpUyd8+/ZNsk9PTw9bt25FiRIlJPELFy6ge/fuiIyMTJkXoQEvX75Ew4YNVQYuFCxYECtWrNBSVkRE6RuL30REREREREREREREaUjXrl0xZMgQSezjx4/4448/EBgYmOjzTZkyBYaGhtHboaGhGDNmTLLzjE/58uVV1hf/9u0b+vXrh2PHjqFt27Yqz9m1axcqVqyIu3fvSuIWFhY4duwYcufOrXJ8//79Y50xrk1yuRzLly9H6dKlcf36dcm+fPny4ezZsyqvhYiINIPFbyIiIiIiIiIiIiKiNGbu3LmoX7++JPbkyRM4Ozvj169fiTpXgQIF0K9fP0lsx44d2L9/f7LzjE/fvn3RtWtXSez+/fsYM2YMdu/ejalTp6o859mzZ6hSpQrmzp0rmdWdP39+HDt2DJkzZ5Ycv3btWowYMSLNFMC9vb3RsGFD/Pnnn/jx44dkX86cOeHm5gY7OzvtJEdElAGw+E1ERERERERERERElMYYGhpi3759KFWqlCR+5coVdO/eHXK5PFHnmzBhAiwsLCSxfv364cOHD8nONS4ymQwrVqxQaVm+bt06bNq0Cf/88w8OHTqErFmzSvaHhYVh1KhRqF27Np4/fx4dL1++PA4cOAAjIyPJ8QsWLMC0adNS7HUkRKFQwM3NDU2aNIGDgwPOnj2rcoydnR3c3NxU1jwnIiLNYvGbiIiIiIiIiIiIiCgNsrCwwPHjx5EvXz5JfPfu3Rg1alSizmVlZYWlS5dKYp8+fYKrq2uKzprOnDkz9u7dqzJje+DAgbh//z5atGiBO3fuqKwDDgBXr15FmTJlsGLFiugcnZycsGvXLujr60uOnTRpEhYtWpRiryM2nz59wtq1a1GmTBk4OTnhxIkTsR7Xv39/3L9/H6VLl07V/IiIMiIWv4mIiIiIiIiIiIiI0ihra2scP34c5ubmkvj8+fNVitkJcXFxQevWrSWxw4cPY9OmTcnOMz7FihXD2rVrJbGQkBC0bdsW3759g52dHS5fvowRI0ZAJpNJjvv58ycGDhyIRo0awdfXFwDg7OyMjRs3qlxn2LBhWLduXYq9DoVCgQcPHmDmzJmoXr06cuXKhb59++LBgwexHm9jY4PTp09jxYoVKn9+RESUMlj8JiIiIiIiIiIiIiJKw0qXLo19+/bBwMBAEh8yZAgOHDig9nlkMhlWrlyJXLlySeKDBw/G48ePNZJrXDp27Ig///xTEnv27Bl69+4NhUIBIyMjzJ07F5cuXULBggVVnn/mzBk4ODhgwYIFCA8Ph4uLC/777z+V4/r27Yvdu3drJOegoCCcP38e8+fPh4uLC+zs7FC6dGmMGzcO7u7ucc6Yt7S0xPjx4/HgwQM4OTlpJBciIlKPTJGS/UyIksDPzw82NjYAAF9fX1hbW2s5IyIiIiIiIiKKDe/hSdfwPUu6btOmTejRo4ckZmJignPnzsHR0VHt8xw6dAjOzs6SWNGiReHh4aGyLrgmhYaGombNmrhx44YkvnDhQgwdOjR6Ozg4GKNHj8by5ctjPU+pUqWwfPly1KhRA7Nnz8aYMWMk+w0MDHDo0CE0adIkwZzCwsLg6+sLHx8fvH79Gj4+Pnj06BFu376Nly9fJur12dvbY9iwYejWrRtMTU0T9VwioowoJT6bsfhNaU5GvAnx8gIWLgQePwaKFAH++gsoX17bWRERERERERHFLyPew5Nu43uW0oNp06Zh4sSJklj27Nlx7do1FClSJMHnKxQK/Pr1C+3bt8fRo0cl++zs7LBv3z7I5XLI5XLo6+tDT08P+vr6av8c23ZUDABev36N8uXL48uXL9HX1dfXx9mzZ1G7dm1JPqdPn0bv3r3h5+cX62vp0aMH5syZg3nz5mHOnDkq+ydNmoTSpUvj8+fPKg9/f3/4+Pjg3bt3yVrz3NTUFE5OTujduzeaNm0a/TqJiChhLH5ThpDRbkIOHAA6dwZ+/fod09cHNm8WcSIiIiIiIqK0KqPdw5Pu43uW0gOFQgFXV1eVNbT19fWxceNGhIeH4927d5LH169fERwcjO/fvyM4OBhyuVwruevr68PAwAChoaGx7pfJZLC1tY0umMvlcnz+/FlSKE8L8ufPj2bNmqFZs2aoU6cOTExMtJ0SEZFOSonPZgYJH0JEKeXRI9XCNwBERgK9egElSgBlymgnNyIiIiIiIiIiIkp7ZDIZpk2bplL8joyMRNeuXbWUlXoiIyMRGRkZ536FQgEfH59UzChhRkZGKFWqFMqXL49y5cqhZs2aKFGiBGQymbZTIyKiWLD4TaQlCoUocMcsfEcJDQWGDgXOn0/VtIiIiIiIiIiIiCgN+vr1K/bv349du3bBzc1N2+mkO1myZIGdnR3y58+PAgUKoGzZsihXrhwcHBxgZGSk7fSIiEhNLH4TacmhQ4CHR/zHXLgAXL4M1KyZKikRERERERERERFRGiOXy7Fq1SqMGTMG3759S/XrGxoaIjIyUmut0jWpU6dOyJ49OywtLZEjRw7Y2tpGF7yzZs2q7fSIiEgDWPwm0gKFApg2TRorUgTw9ARKlgTevv0dX7qUxW8iIiIiIiIiIqKMyMfHBy4uLrhy5UqSnv/PP/8gX758sLS0hLm5OczNzWFmZhb9yJQpEwwNDaGvr48+ffpgy5Ytkufb29vj6tWryJEjBxQKBRQKRXTr8qiHXC6PdzvmIyIiQrJ9584dDBkyRCX3sWPHokqVKtDT04vzcefOHUyaNAnBwcFq/f/o1KkTmjdvnqT/l0REpBtY/CbSguvXgdu3pbEpU4CsWYGRI0W78yiHDwNBQWIfERERERERERERZQzBwcGoV68eXr58Gev+TJkyoUGDBqhYsSKCg4Mxd+5clWMUCgX69eun1vVWr16NN2/e4OLFi9Gxp0+folmzZjh79iwyZ84MmUwGPT09GBoaJu1FxaJmzZrIkSMHunTpIolv3boVw4YNQ86cOeN8bt26dTFs2DAcO3YMY8aMgZeXV7zX2rVrF4vfRETpnJ62EyDKiFaskG4XKAC0by9+dnEBlD87hoYC+/alXm5ERERERERERESkfWPGjIm18N2sWTPs2LEDHz9+xOHDhzFx4kTMmTMHJ06cUClKT58+HfPnz1freiYmJjh48CBKlSoliXt4eKBDhw6IiIhI+otJQOfOnTFUeUYQAF9fX3Ts2DHB68pkMjRr1gz37t3Dhg0b4ODgEOexWbJk0US6RESUhrH4TZTKQkKA/fulsQEDAH198XP27EDTptL9hw+nTm5ERERERERERESkfT4+Pvjvv/8kMTs7O5w5cwZHjhxBx44dYWZmJtnfuHFjbN26FTKZTBIfMWIE1q1bp9Z1s2bNihMnTsDGxkYSP3bsGFxdXaFQKJLwatQzZ84c1K5dWxI7d+4cxo4dq9bz9fX10aNHDzx8+BCnT59GkyZNJPstLS0xZswYjeVLRERpE4vfRKns1Cngx4/f23p6QLdu0mPatJFuu7mJGeBERERERERERESU/sVc4ztTpkw4c+YMGjRoEO/z2rdvj1WrVqnEXV1dsXfvXrWunS9fPpw6dQrZsmWTxDds2IAhQ4akWAHc0NAQu3btQr58+STxefPmYffu3WqfRyaTwcnJCceOHcP79+9x4MAB7Nu3Dz4+PrC1tdV02kRElMaw+E2UymK2MK9VC7CyksYaNQKUB2j+/AkoLbVDRERERERERERE6dj3798l2+XKlUPhwoXVem7fvn0xZ84cSUwul6Nz5844deqUWucoXrw4jh49ChMTE0l86dKlGD16dIoVwK2srLBv3z4YGRlJ4r169cLDhw+TdD5nZ2e0bt1aZaY8ERGlTyx+E6Wi0FDVFuYxZ3kDQM6cQOXK0tjZsymXFxEREREREREREaUdkZGRkm1/f3/I5XK1nz9y5EiVduHh4eFo1aoVrl69qtY5qlWrht27d0M/ar3G/5s7dy4mT56sdi6JVaVKFSxdulQS+/HjB1q3bo2goKAUuy4REaUPLH4TpaKzZ4Fv36Sx1q1jPzZmB6NLl1ImJyIiIiIiIiIiIkpbKlasKNl+9eoVLly4kKhzzJgxAwMGDJDEQkJC0LRpU9y9e1etczRv3hzbtm2Dnp60lDB16lT8+++/iconMfr27YvevXtLYs+ePUO3bt0SNQiAiIgyHha/iVJRzJbn1aoBefPGfmzt2tLtmzela4UTERERERERERFR+lS5cmU4ODhIYv/88w8iIiLUPodMJsOyZcvQqVMnSfzr169o1KgRnj59qtZ5OnTogA0bNkCmvE4jgPHjx2PBggVq55MYUbnHHARw5MgRzJgxI0WuSURE6QOL30SpJDwcOHhQGmvbNu7jHR0B5Y5CERHAtWspkhoRERERERERERGlITKZDH379pXE3N3dMX369ESdR09PD5s2bULTpk0l8Y8fP8LJyQm+vr5qnadbt25YuXKlSvzvv//GwoULE5WTukxMTLBv3z7kyJFDEp80aRKOHz+eItckIiLdx+I3USq5eBH4/Fkai6vlOQCYmQHly0tjnp6az4uIiIiIiIiIiIjSnj59+qBAgQKS2LRp0xLd/tzQ0BB79uxB7RitJt+8eYMGDRrg/fv3ap3H1dUVS5YsUYkPHz4c8+bNS1RO6rK1tcWuXbskbdcVCgW6dOmCFy9epMg1iYhIt7H4TZRK9u6VbleqBOTPH/9zqlSRbt+8qdmciIiIiIiIiIiIKG0yMzPD9u3boa/UHlIul6NFixbwTOQsmUyZMuHw4cOoUKGCJP706VPUr18fAQEBap3nr7/+wpw5c1TiI0eOxMyZMxOVk7rq1auH2bNnS2JBQUFo1aoVfnCdSCIiioHFb6JUEBkJHDggjbVpk/DzYnwWxa1bmsuJiIiIiIiIiIiI0raqVati2rRpktj379/RsGFD3Erkl4VZsmTByZMnUbx4cUn80aNHaNiwIT7HbFsZh5EjR2LWrFkq8XHjxqnkqil///032rdvL4k9ePAAffv2hUKhSJFrEhGRbmLxmygVXLkCfPwojSWl+P3mDaDmIEwiIiIiIiIiIiJKB0aNGoWWLVtKYl+/foWTk1OiC+A5cuTAmTNnUKhQIUn87t27aNy4Mb5+/arWeUaPHo358+erxCdOnIhJkyZpvCAtk8mwbt06lChRQhLfsWMHFi9erNFrERGRbmPxmygV7Nsn3S5TBihcOOHnFS8OZMokjXH2NxERERERERERUcahr6+PXbt2oXHjxpL4ly9fUKtWLRw+fDhR58uXLx/OnTuH/DHWZLxx4waaNGmC4OBgtc4zfPjwWAvPU6dOxbhx4zReADczM8OBAweQJUsWSXzEiBG4ePGiRq9FRES6i8VvohQml6sWv9u2Ve+5BgZA2bLSGIvfREREREREREREGYuxsTH279+PBg0aSOI/f/6Es7Mz5s2bl6his62tLc6ePYt8+fJJ4u7u7mjevDl+/vyp1nkGDx6M//77TyU+a9YsDB06FHK5XO2c1FGkSBFs3bpVEouMjET79u3h5+en0WsREZFuYvGbKIV5eADv3klj6rQ8j8J1v4mIiIiIiIiIiChTpkw4dOgQ6tWrJ4krFAqMHDkSrq6uCAsLU/t8hQoVwtmzZ2FlZSWJX7hwAa1atcKvX7/UOs/AgQOxatUqlfiSJUvg6uqKyMhItXNSR/PmzTFx4kRJ7OPHj2jbti1CQ0M1ei0iItI9LH4TpbCdO6XbDg6inbm6KlaUbrP4TURERERERERElDGZmpri+PHj6N69u8q+tWvXonbt2vDx8VH7fEWLFsXZs2eRI0cOSfz06dNo27at2sV0V1dXbNiwAXp60pLDunXr4OLigvDwcLVzUsekSZPQpEkTSczDwwNDhgzR6HWIiEj3sPhNlIIiIoBdu6Sxdu0Sd46YM7/fvAECApKXFxEREREREREREekmY2NjbNiwATNnzlTZd/36dZQtWxYHDx5U+3wlSpTAmTNnkDVrVkn82LFj6Nixo9qF6x49emD79u0wMDCQxHfu3Im2bduqPZNcHXp6eti6dSsKFiwoia9atQrr1q3T2HWIiEj3sPitoz59+oR//vkHJUuWhJmZGSwtLeHo6IglS5YkqrVNbC5cuACZTKbWY968eRp6RenT+fPAhw/SWKdOiTtHsWJApkzS2N27yUqLiIiIiIiIiIiIdJhMJsOYMWOwd+9eZIrx5WFQUBBatWqFwYMHq90GvGzZsjh9+jSyZMkiiR84cADdunVTu3V5hw4dsG/fPhgZGUnihw8fRosWLdReS1wd2bJlw4EDB1Re/59//okbN25o7DpERKRbWPzWQZ6enihdujSmT5+OvHnzYvbs2Rg3bhyCg4MxZMgQVK1aFe9iLjJNWrFtm3S7QgWgaNHEncPAAChZUhrz8kpeXkRERERERERERKT72rRpgytXrqBQoUIq+5YuXQpHR0c8evRIrXNVqlQJJ06cQObMmSXxnTt3onfv3pDL5Wqdp0WLFjh69ChMTU0l8TNnzqBx48b49u2bWudRR+nSpbF27VpJLDQ0FG3atMHHjx81dh0iItIdLH7rmDdv3qBZs2bw9/fH0KFDcfr0afz5558YMWIEbt68ibp16+LOnTto0aKF2qP64rJp0yZ4e3vH++jVq5eGXln6ExIC7N8vjXXpkrRzlSgh3X74MGnnISIiIiIiIiIiovSlfPnyuH37Njp06KCy786dOyhfvjzmzp2r1uztatWq4dixYyqzqTdt2oQBAwZAoVColZOTkxNOnToFc3NzSfzy5cto0KABPn/+rNZ51NG5c2cMHTpUEvP19UXHjh0RERGhsesQEZFuYPFbx4wcORIBAQGwtbXFrFmzJPuMjY2xZs0a6Ovr49atW1i2bFmyrmVra4tixYrF+7C0tEzWNdKzPXuA799/b8tkQCyfP9USc+Y3i99EREREREREREQUJUuWLNixYwdWr14NExMTyb7Q0FCMGjUKNWrUwJMnTxI8V+3atXHo0CEYGxtL4qtXr8bgwYPVLoDXqFED586dU/kO+caNG6hTpw4+xFwvMhnmzJmD2rVrS2Lnz5/H2LFjNXYNIiLSDSx+65Bnz55hz549AIBu3bqpfPgAgEKFCqFu3boAgNmzZ3Nkm5YoFMCSJdJY/fpA3rxJO1/Mmd9eXuIaRERERERERERERIBYB7xv377w9PRE8eLFVfZfv34dZcuWxYIFCxKcBe7k5IS9e/fC0NBQEl+2bBmGDRumdgG8YsWKuHDhAnLlyiWJP3jwALVr14afn59a50mIoaEhdu3ahXz58kni8+bNw+7duzVyDSIi0g0sfuuQvXv3Rn+oaNCgQZzHOTk5AQACAgJw4cKF1EiNYnBzA27dksb+/DPp54s58zs4GHjzJunno/QnLAw4cwZYuxY4fhz4+VPbGRERERERERERkTaUKlUKt27dwt9//w2ZTCbZ9+vXL/z999+oVq0a7t69G+95mjVrhl27dkFfX18SX7x4MUaOHKl2AbxUqVK4fPkyrK2tJfEnT56gZs2aePnypVrnSYiVlRX27dsHIyMjSbxXr154yFaaREQZBovfOuTcuXPRP5ctWzbO48qVKxfrc5IjLCwMISEhGjlXehcRAYwZI43Z2QHNmyf9nPnyARYW0hg/r1GUM2eAokWBhg2Bvn2Bpk0BW1tgyxZtZ0ZERERERERERNqQKVMmzJs3D5cvX0bhwoVV9nt6eqJChQoYPnw4goOD4zxPq1atsH37dujpSUsJ8+fPx9ixY9UugNvb2+Py5csoWLCgJP769WvUqlULjx8/Vus8CalSpQqWLl0qif348QOtW7fGt2/fNHINIiJK21j81iFRo9PMzc1hEbMSqsTGxib6Zy8vryRfz93dHS1btkTevHlhYmICU1NTZM2aFU2bNsWBAwfU/mCTkYSGAoMHA7dvS+MTJgAxBkgmikwWe+tzov37gSZNgNevpfHAQKBbN2DyZG1kRUREREREREREaUH16tVx7949DBkyRGUWuFwux8KFC1G8eHEcPHgwznO0b98eW7ZsUSmAz549G//884/a3xPb2dnh0qVLKFasmCT+9u1b1KpVC/fu3VPvRSWgb9++6N27tyT27Nkz9OvXj99pExFlACx+64jQ0FC8f/8egGjfEh/l/a9jVsQSYfz48Xj79i3GjBmDI0eOYMeOHWjVqhVOnTqF1q1bo0WLFvj+/Xuiz+vn5xfvw9/fP8k5a8vjx0CrVoClJbBihXRfsWJA9+7Jv0bM1uec+U3e3oCLi+g2EJcpU4DVq1MvJyIiIiIiIiIiSltMTU2xaNEiXLhwAfb29ir7/fz80KpVK7Ro0QKvXr2K9RydO3fGxo0bVQroM2bMwNSpU9XOJV++fLh48SLKlCkjiQcEBKBOnTrw8PBQ+1xxkclkWLZsGSpWrCiJ79y5E2vWrEn2+YmIKG1j8VtHKBeZTUxM4j02U6ZMsT4vsQYPHgxPT08MHjwYTZs2RceOHbFhwwYcO3YMBgYGOHr0KDp37pzo89rY2MT7qFy5cpJz1hYzM+DgQdV1lvX1gY0bAQOD5F8jZvGbM78zNrlcDKqIuRqBmZnqsYMHc7AEEREREREREVFGV6tWLdy/fx9TpkyBsbGxyv4jR46gePHimDBhQqyt0Lt27Yp169apxCdPnowZM2aonUeuXLlw/vx5VKlSRRIPCgpCgwYNcOnSJbXPFRcTExPs2bMHWbNmlcQHDx6ssRnmRESUNrH4rSOU19s2MjKK91jl/T9jVmPVULVqVbx+/RqLFi1SaWUDAI0aNUL//v0BAEePHsWhQ4cSfY30xtoaiDFYETIZsHw5EOMzXJLFbHv+6BEQGamZc5Pu2bEDuHFDGuvZE/j6VbzvlIWGAgMHAuzqRERERERERESUsRkbG2PixIl48OABGjRooLI/NDQUM2bMQNGiRbF161bI5XLJ/p49e2J1LG0GJ0yYgNmzZ6udR7Zs2XDmzBnUrl1bEg8ODkbjxo1x6tQptc8VFzs7O2zYsEESCw0NRfv27ZM1aYyIiNI2Fr91hPJs7rCwsHiPVd5vamqa6GuZmJggf/78Ki1slCmvmbJ+/fpEnd/X1zfeh6enZ6JzTguaNBH/lckAR0fg1CnA1VVz549Z/P71S3WdZ8oYIiOBSZOkMXt74L//AD09YMAAYMgQ6f7Ll4Ft21IvRyIiIiIiIiIiSruKFCmC06dPY9u2bciVK5fK/nfv3qFr166oXr26yve1ffv2xYqYaz8CGDNmDObPn692Dubm5jh+/DgaN24siYeEhKBFixbxrkOuLmdnZwyJ8UXZ06dP0b9/f67/TUSUTrH4rSPMzc2jf/7161e8xyrPEld+niaVKlUqujWOu7t7op5rbW0d7yNPnjwpkXKKc3EBNm0C3r8H3N0BJyfNnj9XLrGmuLJHjzR7DdINBw8CL15IY3PnAkpjZDBzJmBnJz1mxAjg27eUzo6IiIiIiIiIiHSBTCZD586d8eTJEwwZMgT6+voqx1y/fh1VqlRB165d4ePjEx3v378/li5dqnL8iBEjsHjxYrVzMDU1xcGDB9GqVStJPCwsDG3btsWOHTsS8YpiN2fOHJX1v7dv3x5rC3ciItJ9LH7rCGNjY+TOnRsA8OHDh3iPVd5vF7P6pSH6+vqw/H8lNjAwEBERESlyHV3i4AB06yaK1ClBJgOKF5fGvL1T5lqUti1ZIt0uXx5o3lway5QJiHmf8eGD6nOJiIiIiIiIiChjy5o1KxYtWoT79++jYcOGsR6zdetW2Nvb4++//0ZgYCAAYNCgQVi4cKHKsUOHDsV///2n9vWNjY2xe/dudOnSRRKPjIxEly5dsHbt2kS8GlVGRkbYtWsXLCwsJPG//voL9+/fT9a5iYgo7WHxW4eULFkSAPD9+3d8/fo1zuP8/Pyify4Rs1e2BkWt9yKTyWJdG5w0j8VvevUKuHRJGvv7bzE4IqbmzX+344+yYIFYF5yIiIiIiIiIiEiZg4MDTp48icOHD6Nw4cIq+8PCwrBgwQIUKlQIs2fPRkhICIYOHYp58+apHDto0CCsXLlS7WsbGBhg06ZN6Nu3rySuUCjQt2/fRM0mj03BggVVlu/89esX2rdvj+Dg4GSdm4iI0hZWLHVIvXr1on++e/dunMfdvn071ueo4+vXr5g+fTouXrwY73Hh4eH4/PkzACBXrlwsfqcSFr9p61bptqUl0KZN7MfKZMC//0pjX74AsXSkIiIiIiIiIiIigkwmQ/PmzfHw4UPMmTMn1mU1v379ijFjxsDe3h7r16/HkCFDMGvWLJXjBgwYkKhZ2/r6+li1apXKGt2AmE3+b8wvuhKpdevW+OuvvySxJ0+eYMCAAVz/m4goHWHFUoe0bdsWsv9P7zx79mycx7m5uQEAcuTIgTp16iTqGl++fME///yT4Foqt27dQnh4OACgRo0aiboGJZ2Dg3Tb2xvg57KMQ6EAtmyRxjp0AIyN435OmTJA69bS2Pz5nP1NRERERERERERxMzY2xsiRI/HixQsMHjwYhoaGKsf4+fmhd+/ecHBwgLW1NaZMmaJyjKurKzZu3Kj2dWUyGRYuXIgJEyao7Bs/fjzGjRuXrEL13LlzUaFCBUls69at2LlzZ5LPSUREaQuL3zqkSJEiaNeuHQBgy5YtCAsLUznm5cuXOHfuHABg9OjRMDAwkOx/+PAh7O3tYW1tjUsxeycrOX36NCIjI+Pcv2LFiuifXV1dE/U6KOlizvz+9g3w99dOLpT6PDyAZ8+ksW7dEn7epEnS7aAgrv1NREREREREREQJy5kzJxYvXgxvb2907Ngx1mOePXsGFxcX7Ny5Ew4xZu8oFAr06tULW2O2M4yHTCbDtGnTMHPmTJV9M2fOxNChQ5NcADc2NsauXbuQJUsWSXzgwIF4+/Ztks5JRERpC4vfOmbu3LnImTMnXr9+jXHjxkn2hYaGwtXVFZGRkahQoQIGDRqk8vwZM2bg2bNnePv2LcaMGRPndV69eoVRo0bF+iFi06ZN2PL/6aedOnWCk5NTMl8VqcvGBjA1lcYePdJOLpT6tm2TbhcpAlSpkvDzSpdWbY2+YIEoghMRERERERERESWkUKFC2LFjB27cuBHnUpve3t54FMuXlQqFAt27d0+w22hMY8aMwZJYZnAsWbIErq6ukMvliTpflEKFCmH16tWSWFBQEHr16sX250RE6QCL3zrG1tYWR44cQZ48eTB//nw0btwYy5cvx/z581GpUiWcPXsWZcuWxeHDh2FiYqLyfOUPBLH9Q25mZoZChQoBABYsWIDy5ctj+vTp2LhxIxYuXIiGDRuiR48eUCgU6NGjB9avX59yL5ZU6OkBxYpJY1z3O2NQKIBDh6QxFxexrrc6Jk6UbgcFiQI4ERERERERERGRuipWrAg3NzecPHkSFStWVPt5crkcLi4u2L17d6Ku99dff2HdunXRy4FGWbt2LUaMGJHkYnWHDh3QqVMnSez06dNYuXJlks5HRERph0zBoUw66dOnT1i0aBEOHDgAHx8fGBoawt7eHp07d8aAAQNgZGQU6/Pu37+PNm3aICQkBNu3b0etWrVUjlEoFDh//jyOHDmC69ev49mzZ/j69StMTEyQL18+1KxZE71790bVqlVT5LX5+fnBxsYGAODr6wtra+sUuY6ucnGRzgAeMABYvlx7+VDquHcPKFtWGnvwAChZUv1ztGsH7N37e9vcHHj5EsiRQyMpEhERERFRBsR7eNI1fM8SaY5CocCRI0cwceJE3Lt3T63n6OvrY9euXWgTs01hAnbu3AkXFxeVpTpnzJih0iFVXZ8/f0apUqXw7t276JipqSnu3buHwoULJ+mcRESUOCnx2YzFb0pzeBMSv3//BcaP/71dpw5w/rzW0qFUMm2adPZ2gQLAixfqz/wGRIv8kiXFLPIoo0YBs2drLk8iIiIiIspYeA9PuobvWSLNk8vlOHDgACZNmgQvLy+1nnPw4EG0bNkyUdc5ePAg2rZtq1IAX7lyJfr165eoc0U5deoUGjduLIk5Ojri8uXL0NfXT9I5iYhIfSnx2Yxtz4l0TPHi0m22Pc8YjhyRbjdvnrjCNwA4OACdO0tjy5YBHz4kLzciIiIiIiIiIsq49PT00KZNG9y7dw/bt2+Hg4NDgs9xdnbGihUrEnUdZ2dnbNq0SSU+YMAAnDx5MlHnitKoUSMMGDBAErt27Rrmzp2bpPMREZH2sfhNpGNiFr8/fAA+f9ZOLpQ63r0DbtyQxlq0SNq5Jk0ClAet/vwJzJiR9NyIiIiIiIiIiIgA0dK8U6dOePDgAQ4cOJDgmuADBw5EtmzZ4OnpqfY1unTpgsWLF0tiCoUCnTp1wosXL5KU99y5c1GoUCFJLDGt3ImIKG1h8ZtIxxQqBBgYSGOc/Z2+HT8u3c6SBahZM2nnKlIE6NZNGvvvP+DOncSfKyRErBnOmeNERERERERERBRFT08Pzs7O8PT0xOnTp1GnTp04jw0KCkKVKlVQrVo1bN68GSEhIQmef/Dgwfjnn39UzuPs7Izg4OBE55s5c2Zs2rQJenq/yyXh4eHo2rUrQkNDE30+IiLSLha/iXSMoaEoYCpj8Tt9O3VKut24MWBklPTzTZwIGBv/3pbLAVdXIMZySbFSKIADB4B69UQRvlAhIHduoHBhYMkSIDw86XkREREREREREVH6IZPJ4OTkhPPnz+Pq1atoEU8rw2vXrqF79+7Ily8fhg4dCu8EvvCcMmUK2rZtK4k9fPgQEyZMSFKu1atXx6hRoySxBw8eYN68eUk6HxERaQ+L30Q6KOayOSx+p1+RkcDZs9JYo0bJO6edHTB+vDR28yaQ0Gf5p0+Bhg2B1q2B8+eBiIjf+168AIYMAerWBT59Sl5+RERERERERESUvlSrVg2HDh3C48eP4z3uy5cvWLx4MRwcHFCjRg2sWLECAQEBKsfJZDJs2LABJUqUkMSXLVuGR48eJSnHyZMno3Tp0pLYjBkz8ObNmySdj4iItIPFbyIdFHPdbxa/06/bt4EvX6QxJ6fkn3fUKKBYMWls3Djg2DHVY3/9EmuFlyoFuLnFf96rV0WB/MeP5OdIRERERERERETpS9GiRREREYE//vgjwWOvXr2KgQMHIk+ePGjSpAm2bNmCT0qzLszMzLB//34YK7U4jIyMxPiYsz7UZGxsjA0bNkAmk0XHQkJC8PfffyfpfEREpB0sfhPpIBa/M44zZ6TbRYsCNjbJP6+xMbB6NaD0WR5yuZjVvXKlmNUdGgps2iSuOXUqEBam3rnv3AH69Ut+jkRERERERERElP7o6+vj8OHDaN++vVrHR0ZG4sSJE+jWrRty5cqFihUrYuzYsTh69CgUCgUGDBggOf7kyZOIVGd9v1iUL18e/fv3l8T27t0Lt4RmhBARUZphoO0EiCjxYha/fXyAnz8BU1Pt5EMpJ+bnak3M+o5SsyYwebKY1R0lLAwYMAAYMUK0XP/1K/bnWlsDM2cCzZoB9+4BXbsCvr6/92/bBrRvD8SzlBNlcL9+iffJsWPAy5eAoaHoLtCxo3ifKw/MICIiIiIiotT1/ft33L59G0+ePEGmTJmQPXv26IeVlRXMzc21nSLpOAMDA2zduhVhYWE4ePCg2s9TKBS4desWbt26Fecxv379gq+vL+zs7JKU2/Tp07F7924EBgZGxwYPHox79+7B0NAwSeckIqLUw+I3kQ4qWlQUhhQKsa1QAE+eAOXKaTcv0qyfP0UbcWWaLH4DwIQJovC4aZM0Hlfbcn19YOhQUTQ3MxOx2rXFuuSVKwNBQb+PHToUaNwYMDLSbM6k+44fB1xdgbdvpfGbN4ENG4Dq1YF168TvOiIiIiIiIko9AQEB6NGjB06cOAFF1BdPsciTJw+KFy8OBwcHFC9ePPphZWUlaRlNFB9DQ0Ps3LkTzs7OOHnypMr+ChUq4NGjRwgJCUnUeQ0MDGAW9cVVElhaWuLff/9FP6XWht7e3li6dCmGDx+e5PMSEVHqYNtzIh1kagrEHLj46JFWUqEUdOmStNW4vj5Qp45mr6GnB6xdCwwenPCxtWqJNcjnzftd+I5SpAiweLE09uqVaK1OFEWhAGbMAJo2VS18K7t6FahQAThxIvVyIyIiIiIiImDq1Kk4fvx4vIVvAPD398e5c+ewbNky/Pnnn6hXrx7y5MmDnDlzomHDhhg3bhz27dsHHx+fBM9FGZuxsTH279+PunXrquz7+PEjbty4gW3btqF58+YwVbPt5ZgxY5AjR45k5dW7d29UqFBBEps8eTL8/f2TdV4iIkp5LH4T6Siu+53+xVzvu2pVIEsWzV/HwEAUrk+eBCpVUt1fs6aYqXvhAlC6dNzn6doVqFZNGpszBwgP12i6pMMmTxbdBtTx4wfg7Czee0RERERERJQ6fJXXNEuCwMBAnDlzBjNnzkTbtm1hZ2eHnDlzonHjxhg/fjz279+f7GtQ+pMpUyYcPnwYjo6Okrivry9atGiB2rVr4/Dhw/j8+TPOnz+PcePGoVq1aioF7uzZs2Ps2LGYMmVKsnPS19fHsmXLJLHv379j9OjRyT43ERGlLLY9J9JRxYtLi0Isfqc/MYvfmm55HlOjRuLx9i3w7JmYaV68OKDuQFmZTKwDXrv275ivL7BnD9C5c8rkTLpj0yZg6lTVeJ06QJcuwNevwPLlog1/lLAwoFUr4NQpzXc9ICIiIiIiIlUFCxaMc5+JiQl+/fqV6HMGBgbi1KlTOHXqVHQsX758cHR0jH6UL18exsbGScqZ0gczMzOcOHEC9evXl6zn/fLlSzRo0AAXL15Erly5UKdOHdRR+pIgKCgI7969g5WVFSwtLTXadr9q1aro0aMHNm7cGB3bsmULBg8ejIoVK2rsOkREpFkyBfvOUBrj5+cHGxsbAGJ0n7W1tZYzSpvWrQP69Pm9Xbw4W5+nJ+/fA3nySGNXroi1kNO6atWAa9d+b9esKVq4U8Z19y7g6Agof0cikwHz54u14aPuS3/+FL/XduyQPj9HDrEeeP78qZUxEREREamL9/Cka/iejd/Nmzfh6OiIiIgISdzQ0BBDhgzB8OHD8eXLF3h7e0sejx8/TvS6zMqMjIxQvnx5SUGcfzYZU2BgIOrUqYOHDx9K4qVLl8b58+dhaWmZqvl8+PAB9vb2+PbtW3Ssffv22LVrV6rmQUSUXqXEZzMWvynN4U2IetzdpYVQAwNRODI01F5OpDlbt4o24lHMzYHAQN348927F2jXThp79gwoXFg7+ZB2ffsGlC0r1oBXtnIl0K+f6vGRkUCvXsDmzdJ4uXJiLfBMmVIsVSIiIiJKAt7Dk67hezZhbm5u6NChAz5//qyyL1euXJgxYwZ69uwJfX396LhcLsfr169x584d3Lp1Czdv3sTNmzfx5cuXJOdhbW2N6tWro0aNGqhZsyZKliwpuSalXx8+fECtWrXw9OlTSbxixYpwc3ODhYVFquYzc+ZMjBs3LnpbT08Pz549i7dTAhERqSclPptxzW8iHRVzze+ICODFC+3kQpoXs+V53bq6UfgGgBYtgOzZpbGYhUzKOEaPVi18DxoUe+EbEO32168HmjeXxu/cEeciIiIiIiKilNWgQQPcuHEDpUuXVtn38eNH9O3bF5UqVYKbmxui5lXp6emhYMGCaNOmDf7991+cPn0agYGBePnyJXbv3o3Ro0ejfv36yJo1q9p5+Pn5YdeuXfjrr79QtmxZZM+eHU2aNMG///6Ly5cvJ6kFO+kGKysrnD17FgUKFJDEb968iaZNm+LHjx+pms+AAQNgZmYWvS2Xy7Fw4cJUzYGIiNTH4jeRjsqWDcidWxpj2/P0QaFI/fW+NcnISHWN782bAblcO/mQ9ly4IGZ4K3N0FO3O46OvD2zZAtjbS+NLl4r1v4mIiIiIiChlFSxYEO7u7hg5ciQMYxmNf+fOHTg5OaFGjRo4deoUYmsuKpPJUKBAAbRr1w6zZs2Cm5sbAgMD8ejRI6xbtw59+vRBiRIl1F6j+evXrzhx4gTGjx+PWrVqwcLCAjVq1MCYMWNw7NixZM0yp7TH2toaZ8+eVZkBePXqVTg7OyM0NDTVcsmaNSv69u0ria1fvx6BgYGplgMREamPxW8iHRZz9re3t3byIM3y9gb8/aUxXSp+A0CPHtJtHx9RCKWMI2r9bmWmpsC2bWKAREIsLIADBwATE2m8Rw/g0yeNpUlERERERERxyJw5M+bMmQMvLy+0aNEi1mPc3d3RuHFjODo64sSJE7EWwZXp6emhePHi6NWrF9asWYOHDx/iy5cvOHXqFCZPnoxGjRqp3dI6LCwMV69exezZs9GsWTNkz54dpUuXxsCBA7Fjxw74+vom+jVT2lKgQAGcPXsWVlZWkribmxu6du2KyMjIVMtl6NChkrb7P3/+xIoVK1Lt+kREpD4Wv4l0GIvf6VPMWd82NqozYNO6cuWAkiWlsV27tJMLacfEiapLMcycCcToWBYvBwdg3jxp7P170TI9ge9TiIiIiIiISEOKFCmCQ4cO4fTp03BwcIj1GA8PDzRp0gRVq1bFsWPHEiyCK7OwsEDDhg0xadIknDx5Ep8/f4aXlxdWr16Nbt26qb2uskKhwIMHD7BixQp07twZtra2sLOzg4uLC1atWgUvLy/I2ZZO59jb28PNzQ3ZY6yxt2fPHgwaNChR77XksLW1RceOHSWxpUuXsv0+EVEaxOI3kQ5j8Tt9iq3luZodwNIMmQzo2lUaO3yYrc8zitu3gZhLX1WrJtb6TqyBA4HGjaWx/fuBjRuTnB4RERERERElgZOTE+7du4fVq1fDzs4u1mM8PT3RrFkzlC9fHtu2bUN4eHiir6OnpwcHBwf07dsXmzZtwosXL6LX/x40aBDKli2rdqt0Hx8fbNu2Df3790fJkiWRM2dOtGjRAnPnzsW1a9cQFhaW6Pwo9ZUsWRInT56UrLsNACtXrsSkSZNSLY8RI0ZItj9+/IgtW7ak2vWJiEg9MkVqDY0iUpOfnx9sbGwAAL6+virrutBv584B9ev/3jY1Bb5/B/Q4rEVnhYUBlpbAjx+/Yzt2ADEGluqEZ89UZ6xfuwZUraqdfCh1RESIP+Nbt37HjI2Bu3eBYsWSdk5/f6BUKUB5Ka3MmUWRXde6IhARERGlN7yHJ13D96xmhIeHY/PmzZgxYwZevXoV53HW1tYYOnQo+vbtiyxZsmjs+l+/fsW1a9dw5coVXL58GR4eHklaA9rExARVqlRBzZo1UaNGDTg6Omo0T9Kss2fPokmTJiqDFhYvXozBgwenSg5OTk5wc3OL3q5bty7OnTuXKtcmIkqPUuKzGUtkRDos5szvnz8BLmek265flxa+AekAB11SpIhoW63s4EGtpEKp6L//pIVvAJgwIemFbwDIkwdYs0Ya+/FDDApJwncbRERERERElEyGhobo3bs3njx5gvXr16NQoUKxHufn54cRI0bAxsYGI0eO1Ng63BYWFmjcuDGmT5+Oixcv4uvXr5L1v7Nly6bWeX79+oWLFy9i+vTpaNy4MbJly4by5ctj8ODB2L17N/z9/TWSL2lG/fr1sW3bNpWZ/0OGDMH27dtTJYeBAwdKtt3d3dn6nIgojWHxm0iH5c4NWFhIY48eaScX0oyYLc/LlQNy5tROLprg7CzdZvE7ffP1FYVuZcWLA6NGJf/crVoBffpIY3fuAKNHJ//cRERERERElDSGhobo2bMnHj9+jI0bN6JIkSKxHvft2zfMmzcPBQsWRNeuXXH37l2N5mFsbIxq1aph1KhROHLkCD59+qSy/rc65HI57ty5g6VLl6JDhw7ImzcvChUqhO7du2Pt2rV4/Phxqq0xTbFr27YtVqxYoRLv3r07Tpw4keLXr1u3LvSU2m6Ghobi2rVrKX5dIiJSH4vfRDpMJuO63+lNzOJ3gwbayUNTYha/nzzhezQ9GzwYCA6WxlatAoyMNHP+RYtUf+ctXizWkyciIiIiIiLtMTAwQPfu3eHt7Y39+/ejWrVqsR4XERGBrVu3oly5cqhfvz4OHjyIyMhIjeejp6eHkiVLon///ti2bRt8fHxU1v9W18uXL7F582b07dsXxYsXR65cudCqVSvMnz8fHh4eSVrXnJKnX79+mDZtmiQWERGBNm3apHghOmvWrChfvrwkxrbnRERpC4vfRDqOxe/0IzAQuHFDGnNy0k4umlKhApAvnzR2/Lh2cqGUdeCA6sz+Pn2AmjU1d43MmYFdu8Qa4spcXID79zV3HSIiIiKijCwiIgIrVqxA9erVkT17dpiZmcHBwQFjx47F+/fvNXINmUym1qNZs2YauR6lHn19fbRq1QpXr16Fu7s72rRpo9KiOsq5c+fQqlUrFCpUCLNnz0ZgYGCK5mZra4vOnTtjxYoVePDgAQIDA3HkyBGMGjUK1apVg6GhoVrn+fTpEw4ePIgRI0agatWqsLCwQL169TBx4kScOXMG379/T9HXQcL48eNV1vkOCQlB06ZN4eXllaLXrlu3rmT7/PnzKXo9IiJKHBa/iXQci9/px/HjgFz+e9vUFKhRQ3v5aIKeHtC0qTR2+rR2cqGU8+ED0K+fNJYzJzB7tuavVaqUmAGu7Pt38T57+1bz1yOKolAAz58Du3eLjgZLlogBH0+fin1ERERE6cGnT59Qo0YNDBw4EJ8/f8bo0aMxZ84cFChQALNmzULp0qVx6dIlbadJOsLR0RF79+7F06dP8eeffyJTpkyxHufj44MxY8bA2toavXr1wp07d1IlP0tLSzRr1gyzZ8/G1atX8fXrV1y6dAkzZszAH3/8gSxZsqh1npCQEJw/fx7Tpk1Dw4YNkTVrVlSoUAFDhw7F3r17NTZohKRkMhkWLlyILl26SOJfvnxBo0aN4OPjk2LXrlevnmTbw8MDwTFb4RERkdbIFFykhNIYPz8/2NjYAAB8fX1hbW2t5YzStmPHAOWB0JaWwKdPoiU66Zb27YE9e35vt2gBHDqkvXw0Zd8+oG3b39smJsDnz0Ac97ykYxQKoHlz8btI2ZYtYkZ2Sl3TxQXYvl0aL1QIOHsWyJ8/Za5LGdPdu8D69eL3c1zfWRUuDHTrBvTvLwZ+EBERZSS8h08/IiIiULduXVy5cgXVqlWDm5ubpFg5btw4zJw5E1mzZoWnp2ecazurQyaT4c8//8SgQYPiPc7MzEzj7ym+Z7UnMDAQK1aswLJly/Dhw4d4j61WrRr++usvtG7dGkaaWksrkSIjI/Hw4UNcuXIFV65cweXLl/E2iaOuCxcujBo1aqBGjRqoWbMmihQpEueMeEqc8PBwtGzZUmW9b3t7e1y9ehU5cuTQ+DWDg4ORLVs2RERERMfc3NxQv359jV+LiCi9S4nPZix+U5rDm5DEeflSFHyUffgA5MqlnXwoacLCRMHk27ffsTVrRNtoXfflC5Ajh3RW+6lTQMOG2suJNGfePGDkSGmsZUvRBj0l7+N//QIaNACuXpXGra3FgIvKlVPu2pQx3LoFTJgAnDyp/nMsLICJE4G//gLU7JhIRESk83gPn36sWLECAwcOhEwmw8OHD+Hg4CDZHx4eDgcHBzx//hzNmjXDkSNHknwtmUyGSZMmYfLkycnMOvH4ntW+X79+Yffu3Vi6dClu3rwZ77F58uRBv3794Orqijx58qRShrFTKBTw8fGRFMMfPXqUpHPlzJkTNWrUQLVq1eDo6IgKFSrAxMREwxlnHD9+/ICTk5PKet81a9bEmTNnYBxz/TQNsLe3x7Nnz6K39+zZg7bKsz+IiEgtKfHZjG3PiXRc/vxiJq2yJH7uJi26fFla+AZU24XrqmzZgCpVpDG2Pk8fjh4FRo2SxqysxMCNlB7AbmIiCuz29tK4nx9QvTowfTrw82fK5kDpk7c30K4dULFi4grfAPD1K/D332Kt+zdvUiY/IiIiopSgUCgwc+ZMAED16tVVCt8AYGhoiB49egAAjh49inv37qVmipSOmJiYoFu3bvD09MT169fRpUuXONfb9vf3x+TJk2Fra4t27drBzc0NcuXR9alIJpPBzs4OLi4uWLlyJby8vPDp0yccPnwYI0eOhKOjo9rrhgcEBODAgQMYOXIkatSogSxZsqBq1aoYNmwY9uzZAz8/vxR+NelL5syZcfToUZQoUUISv3z5Mvr164eUmP8XEhKikgMREaUNLH4T6Th9faBoUWmM637rnpgD5itWBLQ8oFmjYs7yPnVKO3mQ5ly+DHTqpLrW8YYNqdf2OWdO4OJFoGRJaTwiAvjnH9GKesYMFiFJPa9fAz17ivfT3r1xH2dlBTg6ikEWcb3XPTyAcuVEG34iIiIiXXD9+nX4+voCABo0aBDncU5OTtE/71Fet4soCWQyGapUqYKtW7fC19cXU6dORd68eWM9NiIiAnv37oWTkxPs7e0xe/ZsfPz4MZUzVpU9e3Y0b94cc+bMgbu7O75+/YoLFy5g+vTpaNy4sdrrhoeHh8PDwwOLFi1C+/btYWNjAxsbG7Rv3x6LFi2Ch4cHwsLCUvjV6DZLS0ucOnUK+fLlk8Q3bdqEWbNmafx6P2OMuDc1NdX4NYiIKGlY/CZKB2IMasTdu1pJg5JILhczWJU1b66dXFJKo0bS7YcPgXfvtJMLJd/x4+LPNDhYGp8xA/jjj9TNJXdu4MIFoEYN1X3+/qJtdf78ovvAv/+Kzhhc8IWUPX8O9O4NFCkCbNwoXaIhipWVGFDx+LF4X7m7A1euiGVGrl0DOndWfc7nz+Lvw86dKf4SiIiIiJLt3Llz0T+XLVs2zuPKlCkDPT09leckl1wuR3DMGwzKUKysrPDPP//g9evX2LVrF2rEdpP3fy9evMCYMWNgbW2NDh064OzZs1qbDR5TpkyZULt2bYwfPx4nTpzA58+fcefOHSxduhTt27dPVOt2Pz8/7NmzB8OGDUPVqlWRJUsW1KhRAyNHjsT+/fvxjl+sqMiXLx8OHz6sUogeN24c9sY3yjkJfvz4IdnmzG8iorSDxW+idKB8eel2AsslURrj7q46M7VlS+3kklIqVRJr4Spj63PdExwMDB0qWvLH6O6Fzp2BsWO1khayZwfOnxeF7rjarXt6AuPHi8FC9vZinXJ2acy4wsKAY8eANm1E95T160XHgJiyZQNmzwZevgSmThXHKr/HZDKgalVg2zbxu7xwYenzw8NFh4Q1a1L29RAREREl18OHD6N/jlpzMTbGxsbI+f/2N15eXsm65ps3b9CvXz8ULFgQJiYmMDc3h7GxMapVq4bFixertBSmjMHQ0BDt27fH5cuXcefOHfTu3RuZMmWK9djw8HDs3r0bDRo0QNGiRTF37lwEBASkcsbx09fXR9myZTFo0CDs2rULb9++xcuXL7Fp0yb069cPpUuXhkzNdcNCQ0Nx9epVzJs3D23atEG+fPlgbW2NVq1aYebMmTh79iy+fv2awq8o7Stfvjy2b9+u8v+1a9euuHHjhkauERERgdDQUEmMM7+JiNIOmSIlFrwgSoaUWNw+vbtwAahb9/e2oSHw/TtgbKy1lCgRBgwAVq78ve3gIGZGp/SayamtTRtg//7f2506Adu3ay8fUo9cLrpJ7N8PrFghZrPG1LIlsGtX2vidc/s2MG6c+q3127cXM8ILFUrZvEg7FArg/XvgyRPg6VPx8PYGLl1S7VygLHNmYPhw8ciaVf3rff0qWqfH7OYBiAJ7z56JfglERERpHu/h0wdHR0dcv34dgPgzjdk2WFmZMmVw//59AMDnz5+RLVu2RF8vqiiVL18+9O3bF2XKlAEAeHp6YsWKFQgKCoK9vT0OHz6MojHXektAQmsl+/v7o3LlygD4ntUVQUFB2Lp1K1atWiUZqBEbIyMjtG7dGq6urqhTp47ahWVt+vbtGzw9PXHt2jW4u7vj+vXrCAoKSvL5ihYtisqVK6NSpUqoXLkyypQpAxMTE80lrCPmzZuHkSNHSmK5c+eGh4cHbG1tk3XuHTt2oHOMFmD+/v7InTt3ss5LRJQRpcT9BIvflObwxjnxvn5V/XL+5k2gQgWtpEOJEBYm1vZWLihOny5mqKY3q1cD/fr93s6RQ7QM1mMPkjQnMBBwcwNOnhSP9+/jPrZzZ9Eq2tAw1dJTi4eHWH981y4goe8MTE3FzNzYWleT7ggPFy3IPTzEIIioYndiumeamAD9+4suBrlyJS0PuVx0SFi6VBqXyYBNm4CuXZN2XiIiorSK9/DpQ8mSJaNncn/69AnZs2eP89iqVavCw8MDAODj45OkIpJMJkP16tVx7NgxWMRoE+bj44MaNWrAz88P+fPnx61bt+LNJ7Zzq4vvWd2iUChw7do1rF69Grt27cKvX7/iPb5w4cLo1asXunXrFu+AjrRGLpfj8ePHuHbtWnRB3NvbO8nnMzQ0ROnSpVG5cuXoonixYsWgr6+vwazTHoVCAVdXV6xdu1YSL126NK5cuQJzc/MknTcyMhIlS5bE48ePo2PlypXD7du3k5UvEVFGxeI3ZQi8cU6aokXFl/xRVq6UFhopbTp6VHV975cvgQIFtJNPSnr1CihYUBq7dUu1bT9ph0IhukjMmycK3gktl2ZsDMyaBQwenLYHMISFARcvAgcPAocOAW/fxn3ssGHA/Pnpr+tCeuflBSxaJLoTxNaZQB2ZMwN//ilmeltZJT8nhQKYNAmYNk0a19MDtm4VnS+IiIjSC97Dpw+FChXCy5cvAYhZqPEVhWrVqoXLly8DALy9vVGsWLFEX+/169ewsrKKs531vn370LZtWwDA0KFDsXDhQrXPzeJ3xvDlyxds2bIFq1atwqNHj+I9Vk9PD40bN0avXr3QvHlzGBkZpVKWmvPlyxd4eHjA3d0d165dg4eHB75//57k82XOnBmlS5dG2bJlUa5cOZQtWxYlS5aM8++krgoPD0fjxo1x7tw5SbxZs2Y4ePBgkgYAbNu2DS4uLpLYgQMH4OzsnJxUiYgyLBa/KUPgjXPSdO4M7Njxe7tvXzHTltK2mK3Aq1UDrl7VXj4pzd4eePbs9/asWcDo0drLhwR/f6BXL1H0VkezZsCcOUDx4imbl6YpFGLAxb59YoBQbDPChw8XAwBYAE/7/PyAv/8G9uwRf7aJJZMBVaoAPXoAHTsCMSYcJZtCIVrwz5oljevri3+v27XT7PWIiIi0hffwqSsiIgKGGmi7tGHDBvTo0SN6O7VnfickMjISVlZWCAwMRNasWREYGAg9NUfdsu15xqJQKODu7o5Vq1Zh9+7dKuswx5QjRw64uLigV69eKFWqVCplqXlyuRxPnjzBjRs34OnpiRs3buDu3bsICwtL8jn19fVRrFix6GJ41CMxnRfSoi9fvsDR0RFPnjyRxIcNG4YFCxYk6lxPnz5Fw4YN4ePjEx0rW7Ysbt++rRMt9omI0qKUuJ8wSPYZiChNqFBBWvy+dUt7uZB6fH3FTFRlXbpoJ5fU0qCBtPjt5sbit7adOSMGz3z6FP9xRYoATZoAffoAJUumTm6aJpMBFSuKx6hR4hGj+xkWLBDLSPzzj1ZSJDXt3AkMGJBwS/somTKJ97C9vXg4OABOTklvba4OmUysJx8eLjoKRImMFDO/9fWB1q1T7vpEREREiaE80zuhVtIhISGxPk+T9PX1UbZsWZw9exZBQUHw9vZGiRIl1Houi9kZS1QL/erVq2PRokXRs8HjahP+6dMnLFq0CIsWLULFihXRs2dPdOrUKUlr12uTnp4eihcvjuLFi6Nbt24AgNDQUNy/fz+6IO7p6YnHjx9D3blvkZGR8PLygpeXF7Zu3Rodt7GxiS6IlytXDiVKlEDBggV1pm16tmzZcPToUVSpUgWfldqFLVy4EOXLl1eZxR2X/fv3o0ePHioz7idPnszCNxFRGsOZ35TmcNR40ly8CNSp83vb0BD4/l20Jqa0adQoYO7c39tmZqIlc5Ys2ssppR04IC32GBsDX76IwhSlvsOHgbZtRXEupkyZgLp1gUaNgD/+EIXD9GjDBtEpIzJSGj95Urx2SlsUCmD8eGDmzLiPKVMGqFoVKF1aLAlibw/ky6e99vwKhWipv3ixNG5gILoQtGihnbxI+4KCgCtXgHv3gOfPgY8fgR8/xENPT/weVn6Ymv7+2cBA/O4ODxfLO/z6Bfz8KZ7786f0AQCWluJhYyP+blSuLJYd0ZHvK4kojeM9fOpTXmc2qfLkySNZa7tTp07YuXMnAODWrVsoH8/6VLlz58aHDx+QJUsWfP36Ndm5xKVz587Y8f9R/m5ubqhfv75Gzsv3bPqnUChw/fp1rF+/Hjt37kRwcHC8xxsbG6N169bo1asX6tWrp3aXAV3w7ds33Lp1K3p2uKenJ3x9fZN9XmNjY9jb20cX4IsXLw4HBwfY29vDOI1+GXnp0iU0aNAA4UpfgmTOnBm3b9+Gvb19nM+LiIjA2LFjMW/ePJV9VapUwbVr11j8JiJKBs78Tobt27ejZcuWyJw5s7ZTIUoR5cpJt8PDgfv3gUqVtJMPxe/TJ2D5cmmsa9f0XfgGRDFVT+/3etKhoaLNe4MG2s0rI/LwADp0UC1858kjios9eoh1kNO7nj3FYKFu3aSts7t2Be7eBfLm1VpqFENkJNC/v+psfUC0LB8yRLTvz58/9XOLj0wGLFwo/q4p/96PiBCDT/btA5o3115+lLq+fhWdC7ZuFf/+aXMYcvbsYhmLnj2BWrW43AMRkS5JyhrbCSmp1N7J19c3zuJ3aGgoAgICAEDtmdhJJY+6cQR0ZoYppQ0ymQyOjo5wdHTEokWLsHfvXqxfvx6XLl2K9fjQ0FDs2LEDO3bsQP78+dGtWzd07doVRdLBKPAsWbKgbt26qFu3bnTsw4cPuHv3Lu7cuRP932fPnqk9QxwQ/88ePHiABw8eSOJ6enooWLCgpCBevHhxFCtWDFm0/KVXrVq1sGbNGsmSDz9+/ED79u1x/fp1mJiYSI5/9uwZduzYga1bt+KZchvD/ytVqhT27NnDwjcRURqUYYrfenp6KFKkCJo1a4bevXujSpUq2k6JSKOyZBEz3JSXr7l2jcXvtGraNDE7K4qenlhrOL3LmlW8J/+/PBwA0Xabxe/U9fWrWG84ZjfDFi2A9etFQSQjcXEBPnwARoz4HQsIEIXUEydYEEoLomZPx1b47twZWLpUzGpNq2QykWNkJLBq1e94eDjQqhWwerV4v1H6FRgoBkEsXQp8+6btbITAQGDTJvEoUQIYO1YMijLIMHeIRESkrF69etE/3717Fy1btoz1uHv37kUXpZWfkxjLli1DlixZols1x+X9+/fRP+fJkydJ1yLKnDkzunfvju7du+PZs2fYuHEjNm3ahLdv38Z6vI+PD6ZNm4Zp06ahSpUq6NatGzp06KDz614rs7KyQqNGjdBIqd1ZcHAw7t+/LymKP3jwIME11GOSy+V4/vw5nj9/jiNHjkj2Zc+eHfnz54ednR3y58+v8siWLVuKF5K7d++OK1euYK3SzeW9e/cwfPhwLF++HP7+/ti1axe2b9+OGzduxHmerl27YuXKlTA1NU3RfImIKGl0qu25u7s79uzZg+fPn0Mmk8HBwQHNmjVDjRo11Hr+gQMH0KZNG8hkMpQoUQL3799P4YwpKdh+Kul69RItfKO0bQvs2aO9fCh2t2+LdqPKbZZdXIAtW7SXU2qaMAGYMeP3dvnyXKM+tfXsCWzcKI316AGsW6e91tDaplAAzs6iFbyy3bvFQAHSrnnzgJEjpTE9PWDlStG2XlfI5YCrq/i7FtOUKWKteQ62SF8iI8Wf99ixgNLygmlWyZKiQK+8lA4RUUJ4D58+KBQK2Nraws/PDzVr1oxzhuy///6L8ePHAxBF8jJlyiT6WnZ2djAxMYm3fXtoaChy5cqFb9++IWfOnPjw4YPGimJ8z1JkZCTOnDmD9evX4+DBg5I22LExNDREkyZN0LVrVzRr1izNtvXWtPDwcDx58iS6GH737l3cu3cPgYGBKXI9MzMzSWHcxsYGlpaWyJYtm8rDwsIiye3pg4KCkDNnTkRERKjs09PTk3SdiMnQ0BCLFy9G//79OeObiEhDUuKzmU4Uv8PCwtCrV6/odX5iKlOmDObNm6fWiNPs2bPjy5cvkMlkiIy5wCelCbwJSbr164HevX9vW1kB/v78Ij0tCQwEHB0B5W5JJiaAtzdgZ6e1tFJVzPXpZTKxzmmOHFpLKUM5fBiIOYmjdm0xA9/QUDs5pRWBgWIt3Hfvfsfy5gUePwbMzbWXV0Z34gTQpIk0ZmgoBiY4O2slpWSRy4E+faSD1aJ06ACsWcP3W3rh5ycGt128GPcxxsZiQFyJEqJlv5mZWHJCLgdCQsTj58/fP0c9IiLE34OoR9Sa4Kam4vlRP5uainN9/iw6Wjx+DNy4Ie0UFJsOHcRMdU6yo9goFMCXL6KDTFiY2DY3F0tQZPTPEhkV7+HTjxUrVmDgwIGQyWR49OiRSnv1iIgIODg44NmzZ2jatCmOHj2qco7g4GA4Ozvj5s2bmDJlCoYMGaJyjJ2dHd68eYPnz5+jYMGCseayYcMG9Pp/a5xx48ZhhvII6mTie5aUffr0Cdu3b8e6devUmiiVNWtWdOjQAV27dkW1atUyZAE0ICAA3t7eksejR4/g5+eXajnIZDJYWFhICuJ6enqIiIhAREQEIiMjY/3558+f8PPzS1SL9yjFixfHhg0b2FGWiEjDMmzxu3379ti7dy8A8Q9bbCnLZDL07dsXixYtUlmfQ1mxYsXw9OlTFr/TMN6EJN2zZ4C9vTT29CmQDpYoSheePRMzSO/dk8YnTQImT9ZKSloRGiraE//8+Tu2axfQvr32csoowsKA4sWBly9/x8zNgQcP0t46ydqyZ4/qe3HECGDuXO3kk9H5+gLlyomBCcq2bRPtznWVXA6MHw/MmqW6r0gRMZhNzcZGlEYdPCgGJMY221smE4OQevQAGjUSg+BSm4+P+H23dm3chfDs2UVL/tatUzc3Sls+fwauXxePGzfEZ4g3b1SXToliZgbY2orPFfnzAwULivsTe3vxcwaZKJfh8B4+/YiIiEDdunVx5coV1KhRA6dPn0amTJmi90+YMAEzZsxA1qxZ4enpGet6yKtWrUL//v0BAAYGBggKCkLmzJklx9jZ2cHHxwe1atXC0aNHYR5j5N/du3dRv359fP78GcWKFYOHh4dG1wrme5Zio1AocOfOHWzevBnbt2+PXts+PgULFoSLiwu6du2KwoULp0KWadv379/x+PFjlcL48+fP451NnZblzJkTHTp0QOfOnVG1atUMOdiBiCilZcji94kTJ9C0adPof1j09fXRuXNnNGzYEFZWVggODoaXlxeOHz8Od3d3VKpUCYcPH4aVlVWs5ytevDiePHnC4ncaxpuQpFMoxCxFpWWxsHw5MGCA9nLKaCIjxReDt2+L2cxfvgDBweKLwsuXpa3OATHb68qVjDdLpkkTMZszSt++4gt2SlnLlwN//imNrV8v2qCToFAAjRsDp0//jhkbi8Er//+niVJJZKToSnD1qjQ+cyYwZox2ctK0//4D/vpLvO9i6tdPFMezZk31tCgZ5HJg3Dhg9uzY97dtC0ybBsSYSKc1cjlw5IgYiBdzcF6U7t2BJUsADdYcKI3z8QH27xeDOK5cEe8TTdDTEwXxqGK48sPGBtDX18x1KPXxHj59+fTpE5o1awYPDw8UL14cPXv2RObMmXH8+HEcO3YMOXLkwN69e1G7du1Ynx81exwQxe8vX77AzMxMckzLli1x+P/rDeXJkwddunRBsWLFEB4ejuvXr2PHjh0ICwtDpUqVsG/fvuj3l6bwPUsJCQ8Px+nTp7FlyxYcPHhQrXWvHR0d0bVrV7Rv3z5drQ+uCaGhoXj16hV8fHzw+vVr+Pj4SB5v375N0kzslNStWzd07twZ9evXh4GBgbbTISJK1zJk8btNmzY4cOAAALHux6lTp+Do6Bjrsffu3cOIESPw6tUrnDt3Dra2tirHsPid9vEmJHm6dgW2bv297ewM/P+vEKUghUKsoTxlivjCUB02NuILxVh+VaV7CxYAf//9e9vOTgwQ4ADalBMcDBQuDHz48Dvm6CgKi/z/LvXsGeDgINoKR+nTR7SjptSzZAkQs0ums7MoyKSn9+zRo+Lf7qAg1X3Zs4tC/59/irbWlLb9/Al06wbs26e6L39+Mcu6QYPUz0sdkZHAqlXAhAli4F5Mdnbi82X16qmeGqWSyEjg5EkxUO7EidgH5aQkY2OgUKHYC+O5cqWv3/vpEe/h05+IiAisWbMGW7ZswePHjxEaGgpbW1u0aNECQ4cORZ541sX4/v07WrRogdu3b2Pq1Kmxtj0HAC8vL+zfvx8XL16Et7c3Pn36BD09PeTMmROVKlVCx44d0bp1a+inwMgYvmcpMb5+/Yq9e/diy5YtuBjfejb/Z2BgACcnJ3Tq1AktW7bUaNeC9CosLAx+fn7RxfCoArm/vz++fPkieWjy+/ycOXPCysoKDx8+VNl3+PBhNG/eXGPXIiKiuGXI4re1tTXevXsHmUyGxYsXY9CgQQk+Z+XKlVi4cCFOnDihsnYQi99pH29CkmfLFvHFa5QsWYBPnzLezOLUFBoqChd79qj/nKJFxUyrjNqS/sEDsbaysufPxZeelDJmz1adLXvxIlCrlnbySev+/FMUAKLo6QFeXmlntmZ69+aNGIDw48fvWIECoqtGepwJ/eoV0LEj4OkZ+/48ecRs4j59tNMimxL2/j3QooXo/hJTu3aiu4kuvHcDAoCBA4H/rzgloacH/POPKJBz8kv6ERAgusCsXAm8fq3tbGKXJYtYtqV6dfG5pVYtIFs2bWdFyngPT7qG71lKqtevX2Pbtm3YsmULnsS1dowSExMTNG3aFB07dkTTpk0lywhQ4ikUCgQHB6sUxL98+YKgoCDIZDLo6+vDwMAg+qG8ra+vD0NDQ9jY2KBQoUKwsLAAICbUValSRTLD38bGBt7e3irLNhARkeZlyOK3sbExwsPDoa+vj8+fP6usAxSXa9euYeDAgdi5cyeKFi0aHU8vxe9Pnz5h8eLFOHDgAF6/fg0jIyMULVoUnTp1Qv/+/WFkZKSR6xw/fhwrV67ErVu3EBgYiDx58qBOnTr466+/UL58eY1cIybehCSPv79ofa7MzQ2oX187+aR3crloYaru7PpMmURRbeJEsdZyRqVQiGKO8izkFSuA/y8NRxoWFiYKh+/e/Y41aQIcO6a9nNI6f38xU155bfouXaSdNShlKBSiiHj0qDR+4YJog55eRUQAy5aJwqJy0V9ZnjzA6NGAqytngqclDx8CTZuKQRvKDAxEB4P+/XVr1qpCIX7XDRoEfPumut/REdi2Tfy7QrpJoRBreC9fDuzeLT4nxMfEBKhUCahaFShTRnQysLUV63tH3XZ+/w58/SoGgvj4iL8Pr1+LbipPn0o/8yWXvr4ogDs7izXpebuofbyHJ13D9ywll0KhwM2bN7F582bs3LkTnz59SvA5ZmZmcHZ2RqdOneDk5ARDzlJJU1auXIkBMdaN/OeffzB16lQtZURElHFkyOK3paUlgoKCYGNjAx91ewn/3+PHj9GlSxds3rwZJUqUAJA+it+enp5wdnaGv78/nJyc0LJlS4SEhGDTpk14+PAhypUrh6NHjyJvzApoIsjlcvTv3x9r1qyBpaUlXF1dUaBAAdy8eRObNm2CXC7H/PnzMXjwYA2+MoE3IclXsSJw69bv7QEDpDMYSXNmzQLGjlWNFysmHpaWYraKpSVQqpQYhJCRi97KXFzEl+dRWreOvVUsJd/WraI7gbIbN8TvCorb+PHAv//+3tbTE1/ix2gqQxq2d6+YKassI7Wd9/EBhg2Lf1BV7tyiCD5w4O/CE2nHqVPi/fr9uzRuYSHey2m1zbk6fHxEN6FLl1T3mZuLz5YuLqmfFyXd16/Arl1iwOHdu/Efa2EBtGkjCswNGiR/wM23b78L4TEfsQ2yUJeeHtCwIdCrlxg4ZWycvDwpaXgPT7qG71nSpPDwcJw8eRJbtmzBkSNH8OvXrwSfY2lpibZt26Jjx46oVatWirT3p8RRKBRo0KABzp07Fx0zNjbGo0ePVDrLEhGRZmXI4neVKlVw48YN5MmTB2/fvk3081+8eIF27dph/fr1KFu2rM4Xv9+8eYOKFSsiICAAQ4cOxcKFC6P3hYaG4o8//sD58+dRoUIFXL16FcZJvPsfM2YMZs+ejRw5cuDatWsoXLhw9L6TJ0+iadOmUCgU2LVrF9rF/IY6mXgTknwzZ4r2qFGsrAA/P7ao1LTHj0VBW3ldYDMzUdBt3ly3Znlpw8aNQM+ev7ezZBGtN1nI0SyFAqhQAbhz53esVi3R8pziFxgoZrcpz8Lt10+0hqWUERQkWtu+f/87ZmUFeHtnvBa3np5iFviZM3EfU7y4KEDWqZNqaZGSZcuAoUPFWsnKChQQnTWKF9dKWhoVGSmWzZg4UfV1AkDnzsB//+lGS/eMKjxcDNLYsgU4dEgs1xOfsmVFl6JOnYDU6PKpUAAfP4oieMzi+PPnCeerLHdu0bGgf38ge/aUy5lU8R6edA3fs5RSvn//jsOHD2PHjh04deoUIpS/MIpDnjx50L59e3Ts2BFVqlSBjF8maY2XlxfKlCkjqRm0bNkSBw8e1F5SREQZQEp8NtNL9hlSWLNmzQAA79+/x4+4ekDGo1ChQti3bx969eoFz7gWUtQhI0eOREBAAGxtbTFr1izJPmNjY6xZswb6+vq4desWli1blqRreHl5Ye7cuQCAadOmSQrfANC4cWN07doVCoUCf/31V5L+XChltWkj3f7wATh+XDu5pGfDh0sL33p6wMGDYtYJ71US1rixdPvbN+DKFe3kkp5duiQtfANiViklLHt21Vb8GzYASRiLR2oaM0Za+AaAxYszXuEbACpXBk6fFn+H41q6xNsbqFtXzM5NzsxJSpyICFEc/Osv1YKwo6NoJ50eCt+AaC89bhzg7g4UKqS6f/t28Vp37RJFTEobFArg5k1gyBAgXz4xKHP37rgLyUZGokPMtWvA7dui20ZqLW8pk4lBTjVritnbs2YB+/eL5QR+/ABevQJOngQmTwbq1RMt2OPy/r0YNGRjIzpjvHiROq+BiIgoirm5Obp06YKjR4/iw4cPWL16NerVqxdvQdvf3x+LFy+Go6MjChQogL///hvu7u6Qy+WpmDkBQIkSJTBo0CBJ7NChQzh16pSWMiIioqRK88XvwYMHI2fOnACAFStWJOkcBQoUwP79++Hq6ooPmlxsLJU9e/YMe/bsAQB069Yt1lndhQoVQt26dQEAs2fPVmuEYUwzZ86EXC5HpkyZ0KVLl1iP6du3LwDgw4cPWLt2baKvQSnL3l58aa5s1Srt5JJeeXgAJ05IY3//zbXVEyN3btW221yDWvNWr5ZuFyokvgQn9QwfLu1GEBYGLFigvXzSsytXVP+tatIEaN9eO/mkFTVrAm5u4v9Pw4axH7NlC1CunCh2UcoKChLre8e2nEzHjsC5c0CuXKmeVoqrXFkMpOrRQ3Xf+/fitTduLAqWpD1v3ojlOhwcxBrdS5aIrjpxKVBAzOx/+xbYvFms6Z2WBnDq6wN2dkCjRsCkScDZs6Iry8GDQPfuomtQbEJCRGt3e3sxgz2hFu9EREQpwdLSEn379sXZs2fx9u3b6AJ3fHx8fLBgwQJUr14dNjY2GDRoEM6fP5+k73cpaSZPnhxdi4gyePBghIWFaSkjIiJKijRf/LawsMCBAwdgZmaGqVOn4vz580k6j52dHQ4fPoxsOjx1aO/evYjqUt8gngUEnZycAAABAQG4cOFCoq4RGhqKI0eOABAt583jWJzY0dERZmZmABBdkKe0xdVVun38uJjJQZoxc6Z028oK+Ocf7eSiy5o2lW6z+K1ZX76orqM+cKD4MpnUkzevmImmbOVK4NMn7eSTXoWGqv67lTmzKDCmpUKMNlWvLloXu7urDhwCgJcvgRo1xOxOShk3bohlJE6fVt03caJY9iS+Wam6ztxcdL/YuVOsBx3T6dNA6dKiQP76dWpnl3F9+wasXy+6QOTPD4wfL5bmiYuhoVjH+9gx0WZ81CggR45USzfZTE2Bli3F8jn+/mLwT61asR8rl4v3a7lyYjDV5cvsUEBERNqRJ08eDB48GO7u7nj16hVmzZqFsmXLxvucd+/e4b///kO9evWQN29euLq64tSpUwgPD0+dpDOorFmzYmaML/2ePn2KxYsXaykjIiJKijRf/AaAatWqwdPTE+XKlUPDhg0xZMgQBMQ3hD0Otra2uHjxIgrF1rNPB5w7dy765/g+IJUrVy7W56jj5s2b+Pb/vpnxXUNPTw+lS5cGAFy7dg0hISGJug6lvI4dAUtLaezvv8WXQMoCA0VxoXt30S595EjVFskk5eMDHD4sjY0YIb4UpsSJWfx+8kSs70iasW2btMWpoaFoj0yJM3KkdMDAz59ijVvSnNmzRQtvZdOni0IOSUW11V6+XLUAGRoKdOgA/H/1GtIQuRxYuFAMQHj5UrrP2Fj8rp0yRSx/khF06ADcvw/88YfqPoUC2LQJKFIEcHHhZ8qUEhkpWoF36iQGYPbuDSQ05tnRUfze8PcHDhwQxWBdHwxnaireZxcvikG+Li6AgUHsx544IYrkNWoAR4+yCE5ERNpjZ2eH0aNH486dO3j06BEmTZoEe3v7eJ8TEBCANWvWoHHjxsiVKxe6d++Ow4cP49evX6mUdcbSs2dPVKpUSRKbNm1a9HfmRESU9unMVzRFixbFxYsXcfbsWYSEhMDJyQmhcS1aFg9ra2tcuHBBZR1rXfDw/30Ezc3NYRHbdIv/i1oYHhDrdyflGjHPE9915HI5Hsc3vYC0InNmMZND2YULogD+65doy9mli1gH8M8/RavD/fuBefOA8uVFjB19YrdunfQLsyxZgH79tJePLqtQQXxpq+zoUe3kkt4oFEDMVSlatdKt2V1pRcGCosCgbMkSsRYpJd/jx8CMGdJYxYpiPWWKnb4+MGCAKEBWq6a6f9QoUYxlcSf5vL2B2rXFEggxJ9nkygWcPw907qyd3LTJ1lbMHN67V3TIiCkiQgwKKF8eaNBAHMtlK5PPzw+YOlX8u/THH2JWc3zfeRcoILoSPH0qukYMGABkz556+aamcuXELPBXr8Sg1P83KVPh7i6WfyldWrxH2UWWiIi0qXjx4pg8eTIeP36Me/fuYeLEiXBwcIj3OUFBQdi8eTNatmyJnDlzolOnTti7dy9+8AZVY/T09LB06VJJ7Pv37zhw4ICWMiIiosRKc8Xva9eu4dy5c9HtvWOqVasWVq9ejbt378a65rU68uXLhydPniQnzVQXGhqK9+/fAwCsYlaKYlDe/zqRPQeVj0+p6/j5+cX78Pf3T1TOFLdBg4CYYxgWLQIyZRJrU2/fLp0Vqmz5cjFDlF+cSykUos2isq5dOes7qfT0xMwjZbyX0Iy7d4F796Sx3r21kkq6EHMw0efPYiAMJY9cLtqdKw+20tcXa9Xr+ozE1GBrKwa29e+vum/yZFEAp6T58kW0jy5TRqy3HlO1aqINegLLNqZrMpnoGvT4sViPOa5i49mzQLNmQNGiYuAQJ8wk3p07QPv2ohvGpElibe+4ZM0qfq9evgy8eCF+DxQpkmqpap21teh+8eYNMG1a3IP+Hj4UM8Xt7YE5c8Ta9URERNoik8lQunRpTJkyBV5eXvD29sb06dMl3T1jExwcjJ07d6Jdu3bImTMnWrRogTVr1vC7VQ2oUqUKmsZoV7ht2zYtZUNERImVporfQ4YMQY0aNeDk5IRWrVppO5005fv379E/mySwmGCmTJlifV5auY6NjU28j8qVKycqZ4pb5sxiRndS10vdtUu0+aTfbtwAfH2lsT59tJNLeuHsLN2+fBl4904rqaQrMe/JbG3F7DtKmlKlVNv0z5+vOhOUEmfNGvF3Xtnw4WIGH6nH0FAMWIut1fmUKWIfqS8wEJgwQRQZ//039r/jY8eKQQe2tqmeXppkbi4GW7x4AQweLAZZxub5c2DIENF16K+/xFInFL8rV8QM7/LlgT174p49b2AAtGghZuL7+wOrVon23km9B0gPsmUTf5d9fMSgi7j+vr56BYweLYrmLVqITlg/f6ZurkRERDEVK1YM48ePx+3bt/HixQvMmTMHVapUifc5ISEhOHLkCFxdXZE3b15UqlQJU6dOxZ07d+KcZEbx69q1q2T77NmzeMcvrIiIdEKaKn5v2LABCoUCCoUCly5dSvTzt2/fjsMxF+JNJ5TX1DYyMor3WOX9PxN5555a16HUU6eOmJ0Y3zqURkZi/cY//wRijnmYOBF4+zZFU9Qp+/dLt+3txawwSrqGDUXr+CgKhfjylpIuMhLYsUMac3HJOOvRppTRo6Xbb96IlrOUND4+ojWtsgIFxKxGShyZTPy/XLFCdd+gQfydqo6PH4ExY0TRe8YMILZxnQUKAGfOiKK4oWHq55jW5coFLF4sBglOmya2YxMcDCxbBhQrJgq7J06wJXpMz5+L1tw1a4q1veNSrhywdKkoeB86JGbiJzB+OcMxNRWDLZ4/F92biheP/bjISODIEfH/MGdOoG1bMZDwy5dUTZeIiEhFwYIFMXLkSFy/fh1v3rzB4sWLUatWLcgSGOV28+ZNTJo0CeXLl4etrS0GDBiA48ePc53wRGjevDnMlVo9yuVy7OSXAEREOiFNfQ2eI0cOyGQyyGQydOvWLdHPr1ChAiZOnIiuXbviWzrrp6c8yzosgYWYlfebmpqmuev4+vrG+/D09ExUzpSwnj3FGt9Vq0rjpUqJmd1v34oCzrJlorir/Pn5xw+2TY2iUAD79kljrVtn7Fk1mmBiArRsKY3t3q2dXNKL2GbPZ8Q1aTWtRg3V9ZVnz2bRJikUCtE1IzhYGl+5UnQtoaTp3191prdCAXTpImYqk6r378XAgQIFxN/n2JZK1NcXSx88fMgOGurInv33jNu1a8XaynE5eVIsf1KqlFj2JKNPSvr+XQy0cnAAjh6N/RgzM6BfP+DmTeD2bTHAJa7W3vSboSHQvbv4e3zgABBfs7GfP8VnfhcX8f+2ShXxnr54UbpMBxERUWqzsbHB4MGDcfHiRbx79w4rVqxAgwYNoJ/AmlF+fn5YuXIlmjZtiuzZs8PZ2Rnr1q2LXmKTYmdqaoo2bdpIYlu3btVSNkRElBhpqvjdu3fv6DYs/fr1S/TzixYtiuvXr+Pnz58oV64c7sVc7FSHKY8yS2iEnvLsbfNELkScGtextraO95EnT55E5UzqqV0buHYN+PBBrBv4/j1w/z4wdKj0C7M//lBdF3jTJq6DBwBeXmLWiLLWrbWTS3rToYN0++pVwM9PO7mkBzFbnpcpA5QooZ1c0hOZTHX2t5cXcPy4dvLRZatXA25u0lifPqITBCXPgAGiBbWysDCgVSvA21srKaVJ79+Lz0AFCoglDGJrYiSTAR07is9Ls2eLGaSkPhMT8Zny7l0x+KJ167g7kDx6JPZXrSoGbGY0crlYqihq/enY2u3nzCm6Dvj5iYFCFSqkfp7pgZ6eWHLn+nUxWLBnz/gHXcnlgKen6AhRpw5gaSnWsF+yRKx3n9EHbBARkfbkzp0b/fv3x5kzZ/Dx40ds3boVHTp0QBbl1nqx+PnzJw4dOoQ+ffogT548qFKlCqZPn47bt29DzpHdKlxcXCTbd+7cgTdvrIiI0rw0VfweNWoUqv1/StWbN2+SdA4TExPs3r0bdnZ2qFmzJq5cuaLJFLXG2NgYuXPnBgB8+PAh3mOV99vZ2SXqOsrHp+R1SHty5QLKlgWsrOI+Zto00Qo9SliY+JIto4vZ8tzGBqhYUTu5pDdOToCFhTQWs4BL6gkNVW1xzFnfmtOsmZiRp2zWLO3koquePVNtd25tDcybp5180qOJE0URXFlQkFi3/uNHraSUZnz+LNbsLlRItOiObaynnp6Y8fnokVhCIubfeUocmUwMwty3D3j5Usyiz5Yt9mM9PYH69cXv2pcvUzdPbblxQ3QV6d499sGmUe3kX78W792Yn5coaWQy0dFl/XrRNn7dOlHcTmiJmB8/gGPHxPr1xYuLpRL69BFdiz5/TpXUiYiIVFhaWqJLly7YuXMnAgIC4ObmhiFDhqBgwYIJPtfT0xP//PMPKlSoACsrK3Tq1AkbNmyAH2ckAADq1KmjMlHr1q1bWsqGiIjUlaaK34aGhjhx4gRq1qyJrl274u7du0k6j76+Plq1aoXg4GC0bds23bRAL1myJADg+/fv+Pr1a5zHKX84KZHIqX5R1wBEe/L4RF1HT08PxYoVS9R1KG3LnRvo2lUa27SJrX1jtp9ky3PNMTJSnUW/ejXfc0lx8qQocinr2FErqaRLenqicKPs6lUgnYy1S3EhIWId1ZjtzteuZUFHk2QysQ6ws7M0/uoV0KKF+HPIaORy8T4rXFgMWIltpre+vpgF+vgxsGWLWJOaNCt/fjGL3s9P/Dsf163KsWNi0MGUKbEPUEgP3r8HevUS7bc9PFT3GxgAf/8NPH0KDB7MzgMpydxc/FmcPy+6ZK1bJwYLKa0IFidfX3F8hw6/W6T/84/4XBARkfK5ExERxWRkZIT69etj0aJFeP78Oby8vDBr1ixUr14degmM8vr06RN27tyJXr16wcbGBg4ODhg6dCiOHTuG4Jg3cRmEvr4+rK2tJbEI/iNPRJTmpaniNyDaZ7u5uaF9+/aoUaMGNm7cmKjnv337FosXL8akSZMAAAEBAdgfc7qmjqpXr170z/ENDLh9+3asz1FHxYoVo1uYx3cNuVwe3Vbe0dFRslY4pQ/9+0u3X78WrQEzqqAgIObAzubNtZJKutW3r3T75Uvg9Gnt5KLLtm+XbtesCdjaaieX9KpTJ9H5QRlnfydMoQD+/FO0kFbWpw/QqJF2ckrP9PVFB41KlaRxDw8xwC0jDS56+FD8LuzbF/jyRXW/gYHY9/SpmAVapEjq55jRmJqK/+f374vZ9YULqx4TGipa+JcsCZw4keopppiQEDEAwN4e2LAh9mP++EO8b+fN48Cg1JYjhyiEHz0qZnK7uYklT8qXT/i5CoXoXjB9uvidkyMH0KYNsGYNkMTGdkRERMkik8ng4OCA0aNH48qVK/jw4QM2bdqEtm3bqrWEpbe3NxYvXoxmzZrB0tISdevWxb///oubN28iMjIyFV5B2qDgOidERDonzRW/AcDAwADLli3D1q1bMXLkSDg7O+Pt27exHvv27Vts27YNrq6usLe3h62tLYYPH44vSt9sfU4n/cfatm0L2f+nmZ49ezbO49z+v4hmjhw5UKdOnURdw9jYGC1atAAAeHh4xDmq7/r169H72rVrl6hrkG6oUEG1zefu3drJJS24eFFaKDA2Fi0qSXOqVhVrUytbvlw7ueiqb9+Aw4elsS5dtJNLemZkBAwfLo0dOybWD6W4zZypWugpUQJYtEgr6WQIpqbAkSNitq2yffuAMWO0k1NqUiiAZcvEEiXu7qr79fXFmtTPn4tZyGp0hSQN09MT3UkePQJWrRLdh2J68QJo0kR0iNHlAqJcDmzdChQtKv7+ff+uekyRIqLoevy4OI60y8REtOGfNUsMgg0IEIM1evYE8uVL+Plfv4plk1xdxe9hBwdg2DDg0CHRap2IiCi15ciRA926dcOePXsQEBCAU6dOYdCgQSiixujP8PBwXLhwAePHj0elSpWQK1cudOjQAWvWrMGTJ0/SdYE45muTsQ0kEVGalyaL31GcnZ3h5eUFQ0NDODg4YP78+bh58yY2bNiAPn36oHDhwrC1tUW3bt2wbt06PH/+HAqFAgqFIvofIT09PdStW1fLr0QzihQpEl1o3rJlC8LCwlSOefnyJc6dOwcAGD16NAwMDCT7Hz58CHt7e1hbW+PSpUuxXmfMmDHQ09NDSEgItsecQvh/a9euBQBYWVmhT58+SX5NlHbJZKpFs0OHMtZMMWX//2sVrXp19VohkvpkMtU1ao8dE216ST0HD0rbwxoYiBbTpHl9+ogZXcomTNBOLrpg3Tpg/HhpLHNmsT595szaySmjsLIShbSYs0fnzhXFxvTq82egVSvgr7/EDOKY2rYVBde1a1UHB1DqMzQUBcLHj8VayrF15DxwQKyxPHs2EMttUJoVGSkGnFSsKLouxLaylJmZeF0PHoh225Q25cghBmusXy/+HL28gIULxUx9de4LvL3FgC9nZyBvXtFFplUrMbN89Wrxu9rdXfxuevdOrC9ORESUUoyNjdGwYUMsXboUT58+xcuXL7Fq1Sq0bdsWWbNmTfD5nz9/xu7du+Hq6opixYrBysoKrVu3xoIFC3Djxg2Eh4en/ItIJTFnubP4TUSU9skUaXhY1uPHj3Hz5k3cuHEDmzdvVlm7Wzn1qH90lGMlSpTA1KlT0apVq9RJOBW8efMGFStWREBAAP7++2/Mmzcvel9oaCiaNm2Ks2fPokKFCrhy5QpMTEwkz+/UqRN27twJQLQrd49tGgxEAXz27NnImTMnrl+/joJKU2FOnz6NP/74A3K5HLt379b4zG8/Pz/Y/L+frK+vr8q6KpR6vL1VZ397eIi1CTOakiXFF1xRpk9XLeRQ8gUHiy8DlWdDubqm7wKNJjVuDJw69Xu7WTMx65NSxoIFYj1WZefOAelkzJ3GLFkiilnKZDJR+G7dWjs5ZURnz4rfEcrL0+nri1mmjRtrL6+U4O0tliZ58UJ1X6FCoqtIw4apnxep7949YODA2GfsA6IIvngx4OSUunklxsePwM6dwNKlortAXLp3F50x8uRJvdxI8379Aq5eFZ/DTp8W7+HksrQEAgOTf57UwHt40jV8zxLFLzIyErdu3cLp06dx5swZuLu7J3qda1NTU1StWhU1atRAzZo1UbVqVZiZmaVQxinn0qVLqF27tiS2b98+tObNLBGRxqTEZ7M0V/zetWsXduzYgYsXLya62J0nTx7UqlULtWvXRv369dVq2aKLPDw80KpVK/j7+6NRo0Zo0aIFQkJCsGnTJjx48ABly5bFsWPHkDdvXpXndujQAbv/37u6atWquHbtWqzXkMvl6NevH9auXYvs2bOjX79+sLOzw61bt7BhwwbI5XLMmzcPQ2J+m60BvAlJOxQKoFgxsQZmlClTgIkTtZeTNnz4oNqG89o10aabNG/YMGkbZAMDMQMmnf5K15gPH8TAAeXuDNu3i/WpKWWEhIh1at+9+x0rX16s96mvr7280orQUGDUKFH8jmnxYmDw4NTPKaPbsEGsZavMzAy4ckV12Qlddfo00L69aDcc07BhwIwZ7NyiK+RyYNMm8Xvk06fYj6lbV/yZOjqmbm6xUSjEzPXz50XnmlOnxKzvuNSpIzowVKyYailSKnr3Tvw+OnUKOHMmaUXsAgWAly81n1tK4D086Rq+Z4kS5/v377hw4QLOnDmD06dP48mTJ4k+h76+PsqWLRtdDK9SpQry5cuXpmdRh4aGokyZMpLXa2Zmhjdv3iBbtmxazIyIKH1J98Xvnj17YvPmzQASLnRHxatXr45u3bqhdu3a6bbYHZtPnz5h0aJFOHDgAHx8fGBoaAh7e3t07twZAwYMgJGRUazPu3//Ptq0aRPd0rxWrVrxXuf48eNYsWIFbt68iS9fviB37tyoXbs2hgwZgvLly6fES+NNSBoTsxBZp474Ui8j2blTWkA0NxftVGOsKkAa4u8v1l1Vbt/drJlYyzoN3xNpXczZtZkzi4I4W0qnrJUrVdv1r1wJ9OunnXzSirt3gb59gZs3VfeNHQv8+2+qp0T/N2GCKBYqy5dPdHZRZw3btGzZMmDoUNWCY44coojapIlW0qJk+vwZGDdOtIWO6861Vi0xU7xVKyCO26BkiYwEvnwRRfjAQOl/fXzEIL2HD+Mu0isrXhyYM0e0N+fnmowhMlKsGX7qlLiPunkz9jXfYypXDrh9O+Xz0wTew5Ou4XuWKHnevHmDM2fO4MyZM7h06RL8/f2TdJ7s2bOjbNmyKFu2LMqUKYOyZcuiWLFiMDQ01HDGiRcUFISRI0dGL/0ZZfHixRjMkdxERBqV7ovfZmZm+PnzZ6zFbkNDQ5QrVw7VqlVD9erVkT9/fgwaNAiPHj3CypUr0blzZ22lTRrGm5C05fBhoGXL39vGxkBQEBCjo3661r+/tO1206aiTSylnJEjAaVVHQAAmzeLtTIpdlWqiBnHUVxcgC1btJdPRhEeLmbMenv/jllaio4Z2bNrLy9tef5czGRcu1bahSDKzJnAmDGpnxf9plAAXboAO3ZI48WKAW5uulkAj4wUSxAsXqy6r2JF4OBB3XxdJHXjhhhsdOtW3MfkyCFa3jdsKJbpsbOLff1wQPyOCgoSg+7evxf/VX5ExQICROE7uXfNFSqIzzdt2nAAZUYnlwNPnohBR48eiSUaXrwQ77WvX3+v9a1Lg455D0+6hu9ZIs1RKBR4/fo1Ll++jCtXruDKlSvwVr5BTiQjIyOULFlSUhAvU6YMLCwsNJh13IKDg7FkyRLMmzcPX758keyrVKkSrl27Bn22eiMi0qh0X/wuUKAA3rx5A4VCAWNjY9SqVQt16tRB9erVUblyZZX1qyMjI/HPP/9gzpw56NmzJ5YuXapyDOke3oSkLUFBooCjXMTIaGvali4NPHjwe3vuXGDECO3lkxF8/QrY24v1MqOYmgKXLokvj0nq2TPx/0vZiRPpbx3ftOrcOaB+fWmsQwdRXMwos/quXxe/Gw8ciL1AZGws1lmO2XKbtOPXL6BBA7E+rbICBcTMRF1qpvTjhyjmHzqkuq99e9Hq3dQ09fOilBEZKf5MJ08G3r5N+HgDA7GWdq5cYjkKhUK8Z6JmbsfXllwTTE3FbPRevcRn54zybwIlT0QE8O2bGGBnZaXtbNTDe3jSNXzPEqWsT58+4erVq9HF8Js3byZ6zfCYbGxskD9/ftja2kY/lLezZMmSpPP++PEDjx8/hre3Nx48eIANGzYgICBA5Th9fX3cvHkTZcuWTdbrICIiVem++N2xY0fs2bMHvXv3xrx589T+R+vixYvo2rUrLCwssGfPHhQrViyFM6WUxJuQtKdiReksmwkTgGnTtJdPavr6FciWTVrMuXoVqFZNezllFPv2AW3bSmNZs4p4vXpaSSnNmjwZmDLl93auXKIowJllqadDB2D3bmls0yagWzft5JMaFAoxyGLmTLFmdFzs7YFduwB+R5C2fPok/i179kwat7AAtm/XjRbhHz6IWb43bqjumzQJmDgx7lm/pNt+/RJLTMyaJd4HaYm1tSh0N2okuieZmWk7I6KUx3t40jV8zxKlrp8/f8LT0zO6GH7t2jV8+/ZNo9ewsLCILoSbm5vDwMAA+vr6sf43IiICz549g7e3N3x8fBI8t56eHpYvX45+GX19MyKiFJLui98bN25E79698f79e+TMmTNRzw0KCkKfPn1w6tQp/Pfff+iWnr9tTud4E5L2jBolZvRFqV49/kJHenLmjGidGcXQUMzEYJOJ1NG3r2ifHFO7dkCPHmLmYkqs7alLFApRXHz+/Hds8ODY2/9Synn7FihVSrTGjWJmBly7BpQsqb28UoJCIdpIT5sG3LkT93EmJmKd3pEj+TszrfLzE79HnzxR3TdggCgsJnECRYrz9hYF+tevpXEjI2D9ejEbnNK/sDBg/35gxQrRHSY1mJmJrkg5cohHrlxi2QAHB/HvQMGCnOFNGQ/v4UnX8D1LpF1RrdLv3r0rebx580bbqalo164dJk+eDAcHB22nQkSUbqX74vfnz5+RJ08ePHv2DLa2tkk6x6pVqzBs2DB07twZy5cvh1FGr4roIN6EpD0nTkhngBkaigJP5szayym1TJ0qZo9FqVJFtPel1BEWBvzxh2grHZtMmYCqVYHatcW6iDVqiLamGYmnp3hfKvPwEGudUuqKrVtB3ryAuzuQP792ctK0x4+BgQPjX4M0Sxagf39gyBDx+ilt+/hRzFC9e1d1X86cwNChgKurKPKlFfv3Az17isFoyrJmFQMzatfWRlakba9eAUeOAKdPi38HP31S/7mWlkDu3KJFuvIjd27Rdjqq0J09u1jGgYikeA9PuobvWaK06fPnz7h//76kIP7o0SOEh4enei7NmjXD1KlTUa5cuVS/NhFRRpPui98A0Lp1a3To0AEdOnRI8jnc3d3xxx9/oMz/2rvzOJ3K/4/j73uMmTGLdZB1kC2qIZRdtlKWFEUlUkmhUlq0l6/SIvFL5EuRQtFiVwkRkhpbRFT2kH3MMMyY6/fH+c5t7tnnXue+5/V8PObhPte5zrmumXOuc9znc67rio3VokWLFBUV5cYawtP4ElLwnDljDf2dfl7E77/PPMdtIOrUyZr/NM3jj0tjxviuPoXR2bNS797WA+3cXH659MQT0v33F56H048+Kr333qXlmjWlnTvpdeYr999v9TpN7/LLpYULrZ6B/soY6f33pWHDrJdSslK5shUoHTCg4PYWRtYSE605iTMO3Z+mSBGpdWvrBaMrr7RearjsMivYHBXlvettcrL0zDPSu+9mXletmrR4sXTFFd6pCwo2Y6TDh63RDQ4elE6cuLQuLMx6sSMtmF2+fOH5PwPgKXyHh7/hnAX8x4ULF7R9+3b9/fff2rdvn/1n79692rdvn464YQ4cm82m6tWr64orrlD9+vXVo0cPXUuPAgDwGk/836zAzQY6aNAg/ZHV2Iv50Lx5c7300kt66qmn1LNnT32bPnIFIN+ioqRrrnGcU3P9+sAPfqemZu7l3ayZb+pSmIWHWz35xo2zeuGfOZN93r/+kgYPtuYBnTVLql/fa9X0iaQk6dNPHdPuvpvAty+9957VO3rt2ktpf/1l9c6fMEG66y7/Oz5nz1rTDMyZk/X6WrWkZ5+1zj0G3PFPERHSZ59Z05o8+6x1zNO7eNHq7Z9dj/+iRa3/K6T/KVtWqlPHeukjNtb6CXbhm8cvv1gvVmzenHldkybWC1Llyzu/fwQWm+1S7+0mTXxdGwAAADgrJCREsbGxio2NzXJ9UlKSDhw4YA+GHzhwQElJSbp48aJSUlLs/6b/nJqaqipVquiKK65QvXr1VLt2bYWHh3v5NwMAeFKBC3536NBBHTp0cHk/u3fvliR9//33+vHHH9WqVSuX9wkUZtdemzn4Heh27JBOn3ZMI/jtG0FBVq/7vn2lmTOtn5yGn//tN6l5c2n+/MAe/vbLLx3nmJasvxF8JzzcCsK1aiX9/vul9Ph4qU8f6yWOIUOk226z5o0t6E6ckLp2dQzmp6lSRXrzTemOOwrfdAOByGazRpLo2tUasj4vo22kSU62zpX0vWszioiwXgJp0cLqQd60ad5GCNi6VXr9dSs4n9V4VXffLU2aVDimYgEAAADgKCwsTDVr1lTNmjV9XRUAQAFS4ILf7rBnzx5NnjxZtv91rfr1118JfgMuuvZaa8jbNIUh+P3TT47LVapYw/rCd8qUkR55xPo5cUL68Udp1SpraPpt2xzzxsdLnTtbPRUDtdfX5MmOyx06SDVq+KYuuKR0aWnpUiuIuGGD47pffpH69bOGmG7Y0AoENmtmBQVjYgpWr/CTJ62XR7Zuzbzu8cel//yHgGMgql7denFowwbp7belefOkc+dc329iorR8ufUjWS81xcZaLyrVr28NW16qlBVIP3JE2rhRWrLE+jcrISHS//2fNR95QWo3AAAAAAAA8K2ADH7PmzdPycnJ9uB3BE9mAZdlnOrmn3+sORQrVfJNfbwhfU93yeqlhoKjdGnpllusn9GjrYDKsGGOQ+ImJkq33irFxQXecLg7d0orVzqmDRjgm7ogs4oVrZczHnjAGoI/o4sXpV9/tX7GjbPSypeXbrrJOmdvuskaStpXLlyQevbMHPguWVL65BOpSxefVAtedM011rmbmCh9953V+z8uTtq/35pLOSHBtf2nplqB7eyC2zm58kpp2jSpUSPX6gAAAAAAAIDAE5DB76ZNm6po0aJKTk5WhQoV1KNHD19XCfB7tWtLJUo4DgO+fr0VpAlUGYPfgdp7OBDYbNYc9D/9ZM2pPHfupXUHD0oDBzqmBYIJExyXo6OtFwFQcISHSzNmSL16SU89Je3alXP+I0esgN60adZIE489Jg0aJBUr5o3aXmKM9NBDl3ropqlUSfrmGyvwiMIjIsK612e83ycmWiNsnDmT9c++fdL27dYLFLmd+3kVFSU995z1opMvXw4BAAAAAABAwRWQwe/rrrtOO3bs0Pbt29WsWTOVKlXK11UC/F5QkBX8/f77S2mBHPxOSrLmjU6P4HfBV6yY9PnnUqdO1nDnaebNk77+OnDO15MnpSlTHNP69ZNCQ31TH2TPZrNeSrjpJusc/PhjqxftxYs5b7d/v/Tkk9L48dbQzl27eqe+kjRqlDR1qmPaZZdJq1dbQ1MDkhUUj4iQKlTIPe/Ro1bP8dWrpTVrrBEPkpPzXlb58tbIFo8/bo36AQAAAAAAAGQnIIPfklS9enVVr17d19UAAsq112YOfgeqLVscH8zbbNYQsCj4QkKsAPiVV0r//nspffBgqV07awQDf/fBB1avyzRFiljzoKPgCgmxeoD36mUNF71+vRUMXLvW+nz8eNbb7dkjdetmBf7GjfN8L/DPPpOef94xLTxcWriQwDecV7bspWkqJGsO8V9+sYLhW7dKO3ZYIx+cOmW1lRIlpJo1rWHNO3aU2ra1rnMAAAAAAABAbgI2+A3A/TLO+/3LL9acnUFBvqmPJ/36q+NynTpS8eK+qQvyr2xZK1B4552X0g4dsnq0vvGG7+rlDufPWz2B07vjDikmxjf1Qf5FRlovYrRrZy0bI/35p7RkiTXH8rp1mbeZPNm65i5YIFWu7Jl6rVkj3XuvY5rNJs2cydzKcK9ixaTWra0fAAAAAAAAwJ0CMGQFwFMyBr/PnLECNoEo43zfjRv7ph5wXq9e1lDT6Y0f79gb3B9NnCgdPuyY9uSTvqkL3MNmk2rVkh591Jq3/qefsg4KbtokNW9u9ZJ1tz//tHrlnj/vmD5mDHPJAwAAAAAAAPAfBL8B5FmFCta8m+lt3uybunhaxp7fzPftf2w2q/d3+qFyExOlt9/2XZ1cdeKENGKEY1q7dgzJH2iaNpV++EH66CNryPH09u+XWraUfv7ZfeWdOCF17px56PVBg6THHnNfOQAAAAAAAADgaQS/AeRLgwaOy5s2+aIWnpWYKP3+u2MaPb/9U61aUp8+jmnvv2/NLeuPRoyQTp50TBs50jd1gWfZbFL//tYoFLVrO647flxq315ascL1cs6fl269Vdq50zH9ppusl0dsNtfLAAAAAAAAAABvIfgNIF9iYx2XA7Hn98aN1lzmaYoUyRz0h/948UXH3t/nzlkBcH8TF5e53r16Sc2a+aY+8I569ay5uDNOO5GYKN18s/TNN87v2xhpwABp1SrH9Kuvlj7/XAoOdn7fAAAAAAAAAOALBL8B5Eth6Pmdcb7v+vUzDz0M/3H55VLfvo5pEydKSUm+qY8zTp2S7rpLSkm5lBYaKr3xhs+qBC+KjpaWLZNuvNExPSlJ6tZNmjvXuf2+8IL0ySeOaRUrSosWSVFRzu0TAAAAAAAAAHyJ4DeAfMkY/D54UDp2zCdV8Rjm+w48w4Y5Lh87Js2c6Zu65FdiYtbDUj/zjFStmk+qBB+IjJTmz5d69nRMT0620j7/PH/7GzdOev11x7SICGnBAqlyZdfqCgAAAAAAAAC+QvAbQL7UqiWFhTmmBdrQ5xl7fjPft/+rX1/q2NExbexYa9jngmzzZqllS+mHHxzTGze2eu2icAkJkWbNyjyP/cWL1sgAEybk7ZwePVoaOtQxLSjI2vc117itugAAAAAAAADgdczmCCBfgoOlq65yDBBv2iS1b++zKrnVqVPSrl2OafT8DgxDh0pLl15a/u03aeVK6frrvV+XbduseZY3brR6oaekWG0rLMwazjwoSNq6VVq/PvO25cpJX34pFS3q/XrD94KDpY8/looVkyZPvpSemioNHmzNDT9unNVTPKOkJGvEgP/7v8zrJk2Sunb1XL0BAAAAAAAAwBsIfgPIt9hYx+B3IPX8jotzXA4JsYL98H+dOkm1azsOHz5xoneD3ytWSM89J61b59z2pUtL33wjVa3q3nrBvwQFWcHqYsUyB7I/+kj69ltp1CjpjjuslylSU6Xly6XHH7deqsjotdekBx7wTt0BAAAAAAAAwJMY9hxAvmWc93vTJl/UwjMyDnkeG2sFwOH/goKkhx92TPvqK+nwYc+XfeGCNGSI1K6d84HvK66Q1qyRGjZ0b93gn2w2a+j+F1/MvO7gQalvX+tliXr1pLJlrWH/swp8v/229UIGAAAAAAAAAAQCgt8A8i021nF5+3bp/Hnf1MXdMga/GfI8sPTrZ/WWTZOSIn34oWfLTEyUOneW3n/fue2jo6X//McalaBuXffWDf7NZpNGjJBmz5YiIjKvP3vWuj6fOJF5XUiINHWq9OSTnq8nAAAAAAAAAHgLw54DyLerr3ZcTkmRfv89MHqkEvwObKVKSb17W0G/NJMmScOHS0WKuL+8lBSrvO+/z7yuYkWpbVupVi1r/u6UFOslkqQkKTlZuuwy6/xr3doauhrIzu23Wy8lDRniOK99dho0kKZPZ0oHAAAAAAAAAIGH4DeAfCteXLr8cumvvy6lbdrk/8HvI0ek/fsd0wh+B55BgxyD3/v3S4sWSd26ubccY6xg5MKFjunFiklvvSU99JAUzF0YblK7tjXX9/z50pgx0qpVmfPUry898ojUvz/TOQAAAAAAAAAITDx2B+CU2FjH4Pfmzb6ri7tk7PUdEcEw04GocWPr59dfL6VNnOj+4Pf06Vav8vRKlZK++84qH3A3m0265Rbr59gxaeNG6fhx61p21VVStWq+riEAAAAAAAAAeBZzfgNwSoMGjsubNvmiFu6VMfjdqJFnhsKG7z38sOPyt986vszhqr//tnp9pxcaavXKJfANb4iOljp2tIbd79qVwDcAAAAAAACAwoHgNwCnxMY6Lm/ebA3z7M8yBr8JUgau3r2lkiUvLRuTuZe2sy5elPr2lRISHNOnTZNatnRPGQAAAAAAAAAAIDOC3wCckjH4fepU5vmy/YkxmYPfzPcduMLDpXvvdUz76CMpKcn1fX/4obRmjWPaffdZAXcAAAAAAAAAAOA5BL8BOKVqValECce0LVt8Uxd32LvXmiM3PYLfge2hhxyXjx+XvvjCtX0ePy49+6xjWo0a0tixru0XAAAAAAAAAADkjuA3AKfYbNLVVzumbd7sm7q4w6+/Oi6XLm0FLRG46tSR2rVzTJs40bV9PvecdOKEY9qkSVJUlGv7BQAAAAAAAAAAuSP4DcBpWc377a+ymu/bZvNNXeA9Dz/suLx2rfPn8fr10uTJjml33CF16ODc/gAAAAAAAAAAQP4Q/AbgtEAOfjPkeeFwyy1ShQqOac70/r54URo82Jo7Pk1EhPTOO67VDwAAAAAAAAAA5B3BbwBOyzjs+a5d0tmzvqmLKy5ezDzsOcHvwqFoUWnAAMe0Tz+V4uPzt58PP8x8Dr30klS5smv1AwAAAAAAAAAAeUfwG4DTrrxSCkp3FTFG2rrVd/Vx1m+/SWfOOKZdd51v6gLvGzBAKlLk0nJiojR9et63P3ZMevZZx7S6daWhQ91SPQAAAAAAAAAAkEcEvwE4LTxcqlXLMc0fhz5fs8Zx+fLLpcsu801d4H2VK0tduzqmvfGGlJSUt+2HD5dOnHBMe+89KSTEPfUDAAAAAAAAAAB5Q/AbgEsyDn2+ZYtv6uGKjMHvFi18Uw/4zmOPOS4fPJi3ub9XrLCGPE/vjjukDh3cVzcAAAAAAAAAAJA3BL8BuCQ21nE5EHp+E/wufK6/XmrXzjFt1CgpISH7bc6dkx580DEtMlJ65x23Vw8AAAAAAAAAAOQBwW8ALskY/N6yxZr721/s3y/t2+eYRvC7cHrtNcflo0elESOyz//EE9KffzqmjRplDaMOAAAAAAAAAAC8j+A3AJdkHPb89Glp717f1MUZGXt9lywpXXGFT6oCH2vaVOrSxTFtzBjpp58y5506VfrgA8e0Zs2khx/2XP0AAAAAAAAAAEDOCH4DcEmVKlbAOD1/mvc7Y/C7eXMpiCtjofXWW1JIyKXlixel22+X9uy5lLZ0aeYgd7Fi0pQpUpEiXqkmAAAAAAAAAADIAiEeAC6x2bw773dqqpSc7L79rVzpuMyQ54XbFVdIL7zgmHbwoNWre+xY6amnpJtvls6fd8wzebJUr57XqgkAAAAAAAAAALJA8BuAyzIGvzdscH8ZO3ZYPXBLlrR65taqJb35pnTunPP7PHRI+u03x7Q2bVyqJgLAs89Kbds6ph0+LD3+uDR6tJSS4rju0Uelu+/2Xv0AAAAAAAAAAEDWCH4DcNk11zgux8W5d/9ffGEF2L/4Qjpzxkr7809p+HBrmPIDB5zb73ffOS6XKCFdd51rdYX/Cw6W5syRrroq97x33im9847n6wQAAAAAAAAAAHJH8NsPpaSkaOLEiWrRooXKlCmjyMhI1atXT88++6wOHz7sljJsNluefrp06eKW8uDfGjd2XN6/X/r3X/fs+7vvpN69pQsXsl6/aZPVS/foUef2nV779lbgEyhTRlq+XOrUKev1QUHSSy9Jn3zCOQMAAAAAAAAAQEFB8NvPHDt2TC1bttSgQYN04sQJPfPMM3rrrbdUvXp1vfHGG7r66qu1atUqX1cThUzdulJ4uGOaO3p/Hzok9ekjXbyYc74//7SGRM8tX3qpqZmD3zfckP86InBFR0uLF0vz5km33SbVr2+96DFkiLRtm/Tqq1KRIr6uJQAAAAAAAAAASEN/NT+SkpKiW2+9VT///LOaN2+u77//XsWKFZMkDRo0SM8995xGjRqlW265RevXr1etWrVcKm/w4MEaMmRIjnkiIyNdKgOBoUgRqWFDac2aS2lxcdJNN7m232HDMvfo7t9fuuUW6emnpZ07L6WvXCmNGSM99VTe9r1pk3TsmGMawW9kZLNJ3bpZPwAAAAAAAAAAoGAj+O1HJk+erNWrV8tms2ny5Mn2wHeaV199VXPmzNGff/6pJ554QgsWLHCpvOjoaNWtW9elfaDwaNTIMfj966+u7W/1amnWLMe0bt2kDz+0ApJNmkhNm1pDrKd5/nkrgB0bm/v+v/3WcblWLal6ddfqDAAAAAAAAAAAAN9h2HM/YYzRqFGjJEktWrRQvXr1MuUpWrSo7r33XknSwoULtXnzZm9WEYVcxnm/XRn23BjphRcc00qWlKZMsQLfklSxojRjxqVlSUpOlu67T0pJyb2Mr75yXKbXNwAAAAAAAAAAgH8j+O0n1q1bp/3/6+LaoUOHbPN17NjR/nnOnDkerxeQplEjx+UDB6QjR5zb1+rV1jDm6b36qlS2rGNaq1bW8Ofpbdggvfdezvv/++/MPdO7d3eqqgAAAAAAAAAAACggCH77ieXLl9s/N2jQINt8sbGxCgoKyrSNq1JTU5WQkOC2/SHw1KkjRUQ4pjk79Pn48Y7LlStLAwdmnffVV6WMAyG8+KK0b1/2+//sM8fl6Gjp+uvzXU0AAAAAAAAAAAAUIAS//cTWrVvtn6tUqZJtvtDQUJX9X/fYbdu2uVTmvn37NHDgQNWoUUNhYWGKiopSaGiomjdvrnHjxuncuXMu7R+BpUgRqWFDx7R16/K/n0OHMg9J/sQTUmho1vlDQ6VJkxzTEhOlwYOt4dMzSk21hk9P77bbpODg/NcVAAAAAAAAAAAABQfhHj+xZ88e++fy5cvnmLd8+fI6cuSI4uPjdfLkSZUqVcqpMqdOnapKlSppwIABio2NlSStX79eEydO1NChQzVhwgTNnz9fderUydd+Dxw4kOP6Q4cOOVVf+F6zZtaQ5Wl+/DH/+5gyxXHO7mLFpP9NZZ+tli2lBx+U/vvfS2kLF1pB9B49HPN+9520e7dj2n335b+eAAAAAAAAAAAAKFgIfvuJM2fO2D+HhYXlmLdYsWIO2zkb/G7RooUWLVqkEiVK2NO6d++ugQMHqmXLltq5c6duvPFGxcXFqUyZMnneb0491+HfWrWS3n770vLPP0vnz2ffazujlBTHALYk3XWXlJdT+I03pHnzHOcZf+QRqX17qWRJa9kYaeRIx+2uvlq69tq81Q8AAAAAAAAAAAAFF8Oe+4n0Q4yHhITkmDf9+rNnzzpV3u7du7V06VKHwHeamJgYjR07VpK0d+9ejcwYTUSh1aKF43JSkrRhQ963X7hQyjgwwMMP523bUqWk/52WdocOSf36WUOdS9LcudKaNY55HnlEstnyXkcAAAAAAAAAAAAUTAS/3SwlJUU2m83ln2nTpjnsN31v7gsXLuRYh/Trw8PDnfo9qlWr5lBmRt27d7f39p42bZpS06KLebB///4cf9avX+9UneF7pUtLV17pmJafoc8nTHBcvvZaqVGjvG/fq5fUqZNj2vz51rDmy5ZJAwc6rqtaVerbN+/7BwAAAAAAAAAAQMFF8NtPREVF2T8nJSXlmDd9L/H027lTkSJF1KBBA0nSqVOntH379jxvW7ly5Rx/KlSo4JE6wztatXJczmvwe+dOaelSx7RBg/JXts0mTZ4sRUc7pn/8sdShg3T0qGP6669LuQykAAAAAAAAAAAAAD/BnN9uFhwcnK9AcHYyBoCrVaumdevWSZKOHDmiSpUqZbvtkf9Nely8eHGn5/vOi3Llytk/Hz58WPXr1/dYWfAfrVpJEydeWl6zxhp2PCiXV20++MBxuXRp6Y478l9+5crSZ59JN90kJSdnn69rV2s+cQAAAAAAAAAAAAQGgt8eULduXbfv88p0Y0nv379f11xzTZb5zp8/r6P/697q6WB0+qHOixQp4tGy4D8y9vw+eVLaulW6+urstzl7Vpo61THtvvukHEbez1H79tLs2VZwO91ACHZNmkiffMJc3wAAAAAAAAAAAIGEYc/9RLt27eyfN23alG2+zZs324PS6bfJj/Hjx2v69Om55jt8+LD9M0OVI03lylL16o5p336b8zaffy6dOuWYlnF+7vzq3l365RerB3har/PISOmJJ6Tly6USJVzbPwAAAAAAAAAAAAoWgt9+omnTpqpcubIkadmyZdnm+/777+2fb7/9dqfKGj16tF5//fUc85w/f14bN26UJJUtW1a1a9d2qiwEpk6dHJcXL84+rzHS++87pt14o1Szpuv1qF/fKvvUKWnPHun4cemdd6wgOAAAAAAAAAAAAAILwW8/YbPZ9Nxzz0mSVq9erR07dmTKk5KSomnTpkmSOnfurNjY2Ex5EhIS1KFDB5UsWVLjxo3LtrydO3fq77//znb9zJkzFR8fL0kaMGCAbIwfjXRuuslxefXqzD2706+Li3NMGzTIvfWJipJiYqSQEPfuFwAAAAAAAAAAAAUHwW8/MmDAALVs2VLGGA0YMEDnMkxm/Morr2jXrl0qWbKk3n333Sz3MWPGDC1btkynT5/Wk08+qcTExCzzGWPUv39/nTlzJtO6TZs26cknn5RkzW/+zDPPuPibIdC0ayeFhl5aTkmR5s3LOm/GU7VaNenmmz1WNQAAAAAAAAAAAASoYF9XAHkXHBysr7/+Wl26dNHq1avVqFEj9e/fXxEREVq8eLEWLVqk6OhoffHFF6pVq1aW+0ibDzyNMSZTntjYWO3du1erVq1SnTp1dPfdd6tu3bpKTk7WunXrNGvWLF24cEFNmjTRl19+qeLFi3vk94X/ioiwhi6fP/9S2qxZUr9+jvn++kuaO9cx7bHHpGCuTAAAAAAAAAAAAMgnQkx+Jjo6WqtXr9bkyZP1ySefaNSoUTp//ryqVq2qp59+WkOHDlWFChWy3b5Pnz6aPXu2NmzYoBEjRigyi8mP582bp23btumrr77SypUrNXPmTB07dkxBQUEqW7asunTpot69e+u2225TkSJFPPnrwo/17u0Y/P7+e+nAAel/U9dLksaOteb8TlO8uHTffV6rIgAAAAAAAAAAAAKIzWTV9RfwoQMHDqhKlSqSpP3796ty+mgp/EZCglS+vHT27KW055+XRo60Pu/ZI9WpI124cGn9sGHS6NFerSYAAAAAwAV8h4e/4ZwFAAAoODzxfzPm/AbgEZGR0j33OKZNmCAdP2719n78ccfAd0iI9Oij3q0jAAAAAAAAAAAAAgfBbwAekzGYffKklfbee5nn+h40SKpa1WtVAwAAAAAAAAAAQIAh+A3AY+rVk+64wzFt5kzpsccc08qWlV54wXv1AgAAAAAAAAAAQOAh+A3Ao95+W4qIyDnPxIlSmTLeqQ8AAAAAAAAAAAACE8FvAB5Vtar06adSUDZXm5dflnr08G6dAAAAAAAAAAAAEHgIfgPwuO7dpfnzpWrVLqVFR0tTpljBbwAAAAAAAAAAAMBVwb6uAIDCoXNnqVMnaccOKTlZql9fKlrU17UCAAAAAAAAAABAoCD4DcBrihSxgt4AAAAAAAAAAACAuzHsOQAAAAAAAAAAAADA7xH8BgAAAAAAAAAAAAD4PYLfAAAAAAAAAAAAAAC/R/AbAAAAAAAAAAAAAOD3CH4DAAAAAAAAAAAAAPwewW8AAAAAAAAAAAAAgN8j+A0AAAAAAAAAAAAA8HsEvwEAAAAAAAAAAAAAfo/gNwAAAAAAAAAAAADA7xH8BgAAAAAAAAAAAAD4PYLfAAAAAAAAAAAAAAC/R/AbAAAAAAAAAAAAAOD3CH4DAAAAAAAAAAAAAPwewW8AAAAAAAAAAAAAgN8j+A0AAAAAAAAAAAAA8HsEvwEAAAAAAAAAAAAAfo/gNwAAAAAAAAAAAADA7xH8BgAAAAAAAAAAAAD4PYLfAAAAAAAAAAAAAAC/R/AbAAAAAAAAAAAAAOD3CH4DAAAAAAAAAAAAAPwewW8AAAAAAAAAAAAAgN8j+A0AAAAAAAAAAAAA8HsEvwEAAAAAAAAAAAAAfo/gNwAAAAAAAAAAAADA7xH8BgAAAAAAAAAAAAD4PYLfAAAAAAAAAAAAAAC/R/AbAAAAAAAAAAAAAOD3CH4DAAAAAAAAAAAAAPwewW8AAAAAAAAAAAAAgN8j+A0AAAAAAAAAAAAA8HsEvwEAAAAAAAAAAAAAfo/gNwAAAAAAAAAAAADA7xH8BgAAAAAAAAAAAAD4PYLfAAAAAAAAAAAAAAC/R/AbAAAAAAAAAAAAAOD3CH4DAAAAAAAAAAAAAPwewW8/tmzZMlWrVk02m02vvPKKR8rYunWrBgwYoBo1aqhYsWKqUKGCOnfurLlz53qkPAAAAAAAAPgez50AAADgjwh++6EzZ87o4YcfVseOHbV3716PlfPhhx+qcePGmjZtmtq2batx48bp/vvv1y+//KJbb71Vd999t1JSUjxWPgAAAAAAALyL504AAADwZ8G+rgDyZ9myZbr//vu1f/9+tW/fXt9//71Hylm0aJEefPBBpaam6uuvv1b37t3t6wYMGKBmzZpp5syZKlWqlMaPH++ROgAAAAAAAMB7eO4EAAAAf0fPbz+yYsUKdezYUSEhIVq1apWef/55j5Rz/vx5DRo0SKmpqerVq5fDFxBJiomJ0euvvy5JmjBhgn799VeP1AMAAAAAAADewXMnAAAABAKC334kISFBQ4cO1ebNm9WiRQuPlfPJJ59o3759kqy3bbPSu3dvRUVFyRij1157zWN1AQAAAAAAgOfx3AkAAACBgOC3H+nSpYvGjBmjYsWKebScOXPmSJJCQkLUqlWrLPOEhYWpZcuWkqRvvvlGCQkJHq0TAAAAAAAAPIfnTgAAAAgEBL/9iM1m83gZFy9e1KpVqyRJ9erVU0hISLZ5GzZsKElKSkrS2rVrPV43AAAAAAAAeAbPnQAAABAICH7DwZ9//qmkpCRJUpUqVXLMm379tm3bPFovAAAAAAAA+DeeOwEAAMDTgn1dARQse/bssX8uX758jnnTr0+/XW4OHDiQ4/r9+/fbPx86dCjP+wUAAAAAAN6V/nt7SkqKD2sCf8BzJwAAAKTnie8TBL/h4MyZM/bPYWFhOeZNPwdU+u1yk9ubvelde+21ec4LAAAAAAB85+jRo6pWrZqvq4ECjOdOAAAAyI67vk8w7DkcnDt3zv45p3mXMq4/e/asx+oEAAAAAAAA/8dzJwAAAHgaPb/dLCUlRUWLFnV5P1OnTtW9997reoXyKf1btRcuXMgxb/r14eHheS4j/fBSWUlKStKOHTtUvnx5lS1bVsHB/nGaHjp0yP7G8Pr161WhQgUf1wjO4lgGBo5j4OBYBgaOY+DgWAYOjmVg4DgGDn89likpKTp69Kgk6aqrrvJxbQIfz51yl9tzp927d6t169aSpLVr1+arpziQnr9et1EwcT7BXTiX4C7eOpc88X3CP6KK8JqoqCj756SkpBzzpn9bN/12ualcuXKueWrWrJnn/RVEFSpUyNPviYKPYxkYOI6Bg2MZGDiOgYNjGTg4loGB4xg4/O1YMtQ58qqgPHdKU6VKFb9qayi4/O26jYKN8wnuwrkEd/H0ueTu7xMEv90sODhY27dvd3k/vnobJ/0JduTIkRzzpl/PF10AAAAAAADP4rkTAAAAkDOC3x5Qt25dX1fBaTVr1lRYWJiSkpJyHSbqwIED9s/169f3dNUAAAAAAAAKPZ47AQAAANkL8nUFULAUKVLEPu/R77//nuP8Sxs2bJAkhYWFqXnz5l6pHwAAAAAAAPwTz50AAADgaQS/kcntt98uSbpw4YJWr16dZZ6kpCStWbNGktSpUydFRkZ6rX4AAAAAAADwTzx3AgAAgCcR/C5kEhIS1KFDB5UsWVLjxo3LMs8999yjqlWrSpKmTJmSZZ7Zs2crPj5ekvTcc895prIAAAAAAADwGzx3AgAAgK8R/C5kZsyYoWXLlun06dN68sknlZiYmClPaGioJkyYoKCgIH322WeaP3++w/p9+/bp2WeflSQNHjxYTZo08UrdAQAAAAAAUHDx3AkAAAC+FuzrCiB/li5dqiNHjkiStm/fbk/fsmWLPv30U/tynz59stw+NTXVYdkYk2W+zp07a9KkSRo8eLB69uypvn376rrrrtO+ffs0adIkHT16VHfeeafGjh3r4m8EAAAAAACAgoDnTgAAAPB3NpPd/0JRIF1//fVauXJlrvmyO6xnzpxRt27dtGHDBo0YMUKPPfZYjvvZunWrxo4dq2XLlunQoUMqWbKkGjZsqAcffFC33nqrU78DAAAAAAAACh6eOwEAAMDfEfwGAAAAAAAAAAAAAPg95vwGAAAAAAAAAAAAAPg9gt8AAAAAAAAAAAAAAL9H8BsAAAAAAAAAAAAA4PcIfgMAAAAAAAAAAAAA/B7BbwAAAAAAAAAAAACA3yP4DQAAAAAAAAAAAADwewS/AQAAAAAAAAAAAAB+j+A3AAAAAAAAAAAAAMDvEfwGMjh27JhefPFFXXnllYqMjFTp0qXVrFkz/d///Z8uXLjgtnIWL16sbt26qVKlSgoLC1P16tXVv39/bdiwwW1lFFbHjh3TxIkT1b17d8XExCgsLEzh4eGqXr26evXqpQULFsgY41IZP/zwg2w2W55+Ro8e7abfrHC5/vrr8/T3jYyMdEt5tEn3u/fee/PcTtJ+unfvnu9yaI/uZYzR+PHjFRkZKZvNph9++CFf269du1Z33XWXqlatqrCwMFWpUkV33HFHvveTm8TERL311ltq1KiRSpYsqRIlSqhhw4Z67bXXFB8f79ay/JWzx3LDhg0aPny4WrZsqejoaBUtWlSlSpVSo0aN9OSTT2rXrl1uqV9+rhHHjh1zS5n+yJnjuGfPnjz/bYcMGeKWetImc+fMsczvfdRms2nu3LlO1Y82mTN3fsfgXgn4zrJly1StWjXZbDa98sorHilj69atGjBggGrUqKFixYqpQoUK6ty5s9PXZxQsKSkpmjhxolq0aKEyZcooMjJS9erV07PPPqvDhw+7pYy83o+7dOnilvLgPjxXhrt48lziOVrh4+qzvrwocNclA8Du559/NhUqVDCSTMeOHc348ePN22+/ba688kojyTRs2NAcPHjQpTIuXrxoBgwYYCSZ0qVLm+HDh5tJkyaZAQMGmJCQEBMcHGzGjRvnpt+o8Bk2bJgJCwszkkzZsmXN0KFDzfvvv2/Gjx9vevToYYKCgowk065dO3P8+HGny1mxYoWRlKeft99+242/YeHRpk2bPP19IyIiXCqHNuk5/fr1y3M7Sft58MEH810O7dF9/vzzT9O6dWuHv9mKFSvyvP2rr75qgoKCTHh4uHn00UfNf//7X/P444+byMhII8k89dRTbqnnrl27TJ06dYwk06RJE/Puu++acePGmebNmxtJpnr16mbr1q1uKctfOXMsd+/ebVq2bGnP36JFC/Pyyy+bKVOmmJEjR5r69esbSaZo0aJuaUv5uUYcPXrU5fL8kbNtcvfu3Xn+2w4ePNjletImc+fssczvfVSSWbt2rVN1pE1mz53fMbhXAr4RHx9vHnroIWOz2ezXspdfftnt5UyZMsWEhoaa4OBgc99995lJkyaZ559/3pQtW9ZIMnfddZdJTk52e7nwjqNHj5rrrrvOSDJ169Y1b775pnn//ffNzTffbL9HrFy50uVy8no/7ty5sxt+K7gLz5XhLp4+l3iOVri4+qwvNwX1ukTwG/ifvXv32r+MDB061GFdUlKSadu2rZFkGjVqZJKSkpwu55lnnjGSTHR0tNm1a5fDuiVLlpigoCBjs9nM7NmznS6jMCtfvryRZNq0aWNOnTqVaf2CBQtMkSJFjCTTvHlzc/HiRafKSftPwscff2y2b9+e448rQfbCrE2bNqZJkya5/n3/+OMPl8qhTXpO2kP03I7h9u3bTUxMjNMP7GmPrktNTTXvvfeeiYiIMMWLFzdNmzbN93+IJ06caCSZsLAws27dOod1GzZsMBEREW754nTq1ClTu3ZtI8n06NHDpKSkOPwed999t5FkYmJiCl1wxhjXjuWSJUvseceOHZtpfUpKirnrrrvseT744AOX6tqvXz9TsWLFPF0j0h/nwsDVNpkW/H799ddz/dsePnzYpbrSJnPm6rGUZLp3757rcZwxY4aRZOrUqeN0XWmT2XPXdwzulYBvfP/99yYmJsYEBQWZDh06eCz4vXDhQvvLMF9//bXDuj179tgDGe548Qzel5ycbH9RtHnz5ubs2bMO65999lkjyZQsWdLs3LnTpbLSzpPc7sf79+93qRy4D8+V4S7eOJd4jlY4uONZX14U1OsSwW/gf+644w4jyVStWjXLG8eff/5pf6AxevRop8rYunWr/YvQxIkTs8yTFiwqX768SUhIcKqcwqx8+fImODjY7N27N9s8AwcOtF/oZ82a5VQ5af9JcOeNAo7atGlj2rRp49EyaJOelfa3y82aNWuMJHPVVVc5VQ7t0XUvv/yykWRuvPFGs2/fPvtyXv+u//77r73H2jPPPJNjGWFhYS49pHn66aeNJBMZGWn+/fffTOtPnDhhSpYsaSSZIUOGOF2Ov3LlWKYFvzt27JhtnoSEBFOmTBn7g71z5845Xdd+/fqZmJgYp7cPZK62ybTg99SpUz1eV9pkzlw9lpJMv379cs2X9qb9O++843RdaZPZc8d3DO6VgG8sX77c2Gw2U6tWLbN69WqH3m7uDH4nJSWZqlWrGkmmV69eWeaZOnWqkWRsNpv55Zdf3FY2vGPChAn247dt27ZM6y9cuGBq1qxpJJkuXbq4VJYnXs6AZ/FcGe7ijXOJ52iFg6vfRfOiIF+XmPMbkLRr1y7NmTNHktS3b1+FhoZmynP55Zerbdu2kqQ333xTKSkp+S5n1KhRSk1NVbFixXT33XdnmWfAgAGSpCNHjmjKlCn5LgNSgwYNVLVq1WzX9+jRw/55wYIF3qgSCijapGfVrVtXbdq0yTXff//7X0nSgw8+6OkqIRvGGE2ZMkXffPONqlSpku/tx40bp4SEBEnSAw88kGWeBx54QDabTUlJSXrnnXecqueZM2f03nvvSZK6d++usmXLZspTqlQp9ezZU5I0adKkQjcvravHUpJuueWWbNdFREToxhtvlCSdOnVKP/74o1NlIGfuOI7eQJvMnavHsk2bNqpbt26OeRISEjRr1iyFhoaqX79+zlYVuXD1Owb3SsA3EhISNHToUG3evFktWrTwWDmffPKJ9u3bJ+nSd8iMevfuraioKBlj9Nprr3msLnA/Y4xGjRolSWrRooXq1auXKU/RokV17733SpIWLlyozZs3e7OK8CGeK8NdvHUuoXDwxnOFgnxdIvgNSPriiy9kjJEkdejQIdt8HTt2lCQdPXpUP/zwQ77KOH/+vP0hyHXXXaeoqKgs8zVr1kyRkZGSZL/ZIe9mzZqlDz/8MMc8MTEx9s9pX05R+NAmPW/48OG5XitPnz6tOXPmKDw8XPfcc493KoZMXnnlFd1///1Ob//FF19IkqpVq6aaNWtmmady5cr2AE76+25+LFy4UOfOnZOUt/t1cnKy5s6dm+9y/Jkrx7Jx48ZasmSJevfunWM+7qOe52qb9BbaZO5cPZY//PCDhg8fnmOemTNnKiEhQT169FCZMmWcLgvZc8d3DO6VgG906dJFY8aMUbFixTxaTtp3xZCQELVq1SrLPGFhYWrZsqUk6ZtvvrG/EIOCb926ddq/f7+kvF1bJZ4fFCY8V4a7eONcQuHh6ecKBf26RPAbkLR8+XL75wYNGmSbr2HDhllukxe//vqr4uPjcy0jKChIV199tSTpp59+sj+4QN60bdvW/vfLzqlTp+yfIyIi3Fb2hQsXOF4edubMGaWmprplX7TJguGTTz7R2bNn1atXL5UoUcJt+6U95o/NZnN624MHD+qPP/6QlHNbki7dRw8cOKBdu3bluyxv3K/9nSvHMjo6Wp06dco1eOap+6hk9c66ePGiW/fpj1w5jtlJSUlRYmKiW/dJm8ydJ45lRmkjqAwcONDt+6ZNWlz9jsG9EvAdb1yHL168qFWrVkmS6tWrp5CQkGzzprW9pKQkrV271uN1g3vk9doaGxuroKCgTNu4KjU1lZclCjCeK8NdfPn/OJ6jBR5P/x+ooF+XCH4DkrZu3SpJioqKyjH4kn54iG3btjlVRsb95FROamqqduzYka9ykLvdu3fbP7du3dqlfa1du1a33HKLKlasqLCwMIWHh6tkyZLq3Lmzvv76a6d6a+CSs2fPasSIEbr66qsVERGh4sWLq2jRoqpXr56eeuop/fPPP07vmzZZMEyePFmSe4Y8pz36hjNtScr/fTQ/ZblaDnKWdh+12WwuDx+akpKicePGqUmTJipRooSioqJUtGhR1ahRQw8//LBTgR9csm3bNt11112qWrWqwsLCFBkZqYiICLVv315Tp051eYg82qTvbdy4UXFxcapbt67L/6+VaJOuyOk7BvdKILD9+eefSkpKkuT5Ng7fyOu1NTQ01D7dhKvHd9++fRo4cKBq1KihsLAwRUVFKTQ0VM2bN9e4ceMIUhUgPFeGu3jjXEqP52hwRUG/LhH8RqF3/vx5HT58WJJUvnz5HPOmX79nz558lZM+vyfLQe6+/vprSdaQY2nzMTnr+eef18GDBzV8+HAtWLBAs2bN0q233qpvv/1Wt912m7p166YzZ864odaF0y+//KJRo0apVatWmjp1qhYuXKi33npLFy9e1OjRo1W3bl3Nnz/fqX3TJn1v3bp12rJli66++mo1bdrU5f3RHn3Dm20pbZvg4GCVLl0623xhYWEqXry40+Uge6dPn7YPq9a1a1eX5406ePCghg0bpnr16mnChAlatGiR3nvvPZUpU0YffPCB6tevr0mTJrmh5oXT6NGjFRcXpyFDhujrr7/WnDlzdP/992vt2rW677771KpVKx06dMjp/dMmfS+tfbjjJTKJNumKnL5jcK8EAhvfLQOfM8c4Pj5eJ0+edLrMqVOnatGiRerXr59mz56tr7/+WsOGDdP27ds1dOhQNWjQwD6qCHyH58pwF2+dS+nxHA2uKOjXpWCvlAIUYOkv4GFhYTnmTT9HVH4v/N4qBzn7999/NW/ePEnSk08+qYoVK7q0v0cffVTvvvuufVgrSerdu7d69+6tLl26aOHChbrrrrvs818gf8qVK6cVK1aoXr169rTOnTtryJAh6tq1q5YuXarbb79dK1asUPPmzfO1b9qk76UN0+quB/a0R9/wZltK2ya3ctLKio+PV0JCgowxXhnysjD4+OOPlZSUpJCQEL3xxhsu7y88PFxLlizJ1Evy4Ycf1n333aePP/5YDz30kEqXLq3bb7/d5fIKmx49emjGjBkKDQ21p/Xs2VP9+/fX9ddfr3Xr1qlr165as2aNQ568ok36VmJiombOnKnQ0FD17dvXLfukTTont+8Y3CuBwMZ3y8DnyjEuVaqUU2W2aNFCixYtcuj92b17dw0cOFAtW7bUzp07deONNyouLi7XaYvgOTxXhrv44hjzHA2uKOjXJXp+o9BLP0xQTvMyZVx/9uzZAlkOcvbUU08pKSlJ11xzjV544QWn99O0aVPt2bNHY8eOdfgPQpobb7xRDz30kCRp4cKF9odhyLvPPvtMO3bscAh8pwkNDdW0adMUGhqqCxcuaMiQIfneP23St+Lj4/X5558rPDxcffr0cWlftEff8mZbSisrt3LS50lNTdX58+fzXRYy+/fff/Wf//xHkvTaa6/piiuucGl/o0eP1p49e7IcqjkoKEjvv/++/e3gxx57zD6cKHJXuXJl7d69W7NmzcoyqN2wYUO99NJLkqS4uDh98MEHTpVDm/StWbNm6cyZM+rZs6dbHnrTJp2X23cM7pVAYOO7ZeDz9jHevXu3li5dmuWwxzExMRo7dqwkae/evRo5cqRTZcA9eK4Md/HmMeY5GtyhoF+XCH6j0Ev/1smFCxdyzJt+fXh4eIEsB9n79NNPNX36dJUrV05ffvmlUz2c0oSFhSkmJibH3hH333+//fNHH33kdFmF1WWXXZbjG9IVK1ZUp06dJFnzXW7cuDFf+6dN+tann36qs2fPqlevXjnOY5QXtEff8mZbSisrt3LS5wkKCnLpeg/LxYsX1bdvXx07dky9e/fWsGHDXN5ndHS0fU7ErERERKh3796SpEOHDmnJkiUul1lYBAcHq1q1aipatGi2efr372+/bjp7XaRN+pa7R1ChTTonL98xuFcCOUtJSZHNZnP5Z9q0aT6pP98tCw5PnUvePsbVqlVzKDOj7t272198mzZtmlJTU50qB67juTLcxZvHmOdocIeCfl0i+I1CLyoqyv45t94L6d9mSb9dQSoHWVu1apUGDBig4sWLa/HixapWrZrHy7zqqqvsD5HWrl3r8fIKo8aNG9s/5/dvTJv0rbQH9gMHDvRKebRHz/FmW0rbJi+9DdPKioyMZBhXN3j00Uf17bffqn379po2bZrX/qauXOeRs9KlS6tGjRqSpN9++00JCQn53gdt0nc2bdqkX375RXXr1s2yp7an0CYd5fU7BvdKILDx3TLwFbRjXKRIETVo0ECSdOrUKW3fvt0j5SB3PFeGuxS0Y8xzNOSmoJ2zGTHnNwq90NBQXXbZZTp8+LCOHDmSY9706/MbPE2f35PlILP169era9euCgkJ0bfffqtGjRp5pdwiRYqodOnSOnTokI4fP66UlBQFB3PZdady5crZPx8+fDhf29Imfefnn3/W5s2bFRsbq+uuu84rZdIePcebbalatWo6fPiwUlJSdOLECZUuXTrLfElJSYqPj3e6HDh69tlnNWHCBLVt21bz5s3zau9AV67zyF25cuX0119/yRijI0eOKDIyMl/b0yZ9Z9KkSZK89xJZGtrkJfn5jsG9EshZcHCwW4J3FSpUcENt8o/vlgWHp86latWqad26dZKsY1ipUqVst007xsWLF3d6vu+8yHhPrl+/vsfKQvZ4rgx38da5lFc8R0NuCvp1ibMVkHTllVfq8OHDOnPmjE6fPp3tELwHDhywf87vfyqvvPJK++f9+/fnmDetnKCgINWtWzdf5cBRXFycbrzxRhlj9N1336lp06ZeLT9t6CmbzZblHCpwTfqhvYoUKZKvbWmTvuPuYVrzivboGc60JSn/99G0stIeOu3fvz/bB/quloNLXnzxRb3xxhtq06aNFi5c6PVh81y5ziN3rv59aZO+kZiYqJkzZyosLEx9+/b1atm0SUt+v2NwrwRy58/fs2rWrKmwsDAlJSV5vI0jd544lzJex6+55pos850/f15Hjx6V5Pnjyz254OC5MtzFG+dSfvAcDTkp6NclzlhAUrt27eyfN23alG2+DRs2ZLlNXjRu3Ng+pENOZaSmpmrz5s2SpGbNmuU4xw9ytnHjRnXs2FEpKSn65ptv3Bb4Pn36tEaOHKmVK1fmmC85OVknTpyQZL2Ry38S8m7BggUaOXKkjDE55kvf4yi/b/nTJn0jPj5en3/+ucLDw9WnTx+X90d79L1KlSqpdu3aknJuS9Kl+2jlypVVq1atfJfljfs1LnnllVc0cuRItWrVSosWLXJr4HvVqlUaOXKkTp48mWM+V67zhdnIkSM1b968XPOl/X2DgoIceg/lFW3SNz777DPFx8erZ8+e2QY284s2mXfOfMfgXgkEtiJFitinoPj9999znPcyre2FhYWpefPmXqkfXJfXa+vmzZvtwSJnr63jx4/X9OnTc83HPbng4Lky3MUb5xLP0eAuBf26xBkLSOrZs6d9jrNly5Zlm+/777+XJEVHR+v666/PVxmhoaHq1q2bJGvI3+zmVVy3bp193e23356vMnDJli1b1LFjR124cEFLlizJ8kvlq6++6jBvYV6dPHlSL774ombNmpVjvri4OCUnJ0uSWrZsme9yCrMvv/xSL774Yq5DpqT1apHy/zemTfrGjBkzlJiYqN69e6t48eIu74/2WDCktY09e/bo77//zjLPwYMHtWPHDkmO99386NKli/0/yXm5XxctWlS33HJLvsuB9Nprr+nVV19VixYttHjxYkVERGTK07hxY7366qtO7X/58uV68cUX9ccff+SYz5XrfGH24osvauLEiTnmOXTokPbu3StJuuaaa5x6uYE26RueGEGFNpk3rnzH4F4JBLa0Nn7hwgWtXr06yzxJSUlas2aNJKlTp075nm4EvtO0aVNVrlxZUt6urZLzzw9Gjx6t119/Pcc858+f18aNGyVJZcuWtb9gBd/guTLcxRvnEs/R4C4F/bpE8BuQVKtWLXvD++STT7J8S/fvv//W8uXLJUnPPPNMpjkutm7dqtq1a6ty5cpatWpVluUMHz5cQUFBOnfunGbOnJllnilTpkiSypcvrwceeMDp36kw27p1q9q3b69z585p8eLF2d6gd+/erbi4uCy3z+1YStJ3332nixcvZrs+/UNnbw/vHCiWLFmS7bpdu3bZ/7PXvHnzTMP80CYLpsmTJ0vK+xyltEf/8Oijj9of3qW1mYw+/PBDGWMUFhamYcOGZZlnzJgxKlGihG644QadPXs20/qoqCg98sgjkqS5c+fq+PHjmfKcPn1aX3zxhSTrWJctW9ap36kwe/PNN/XCCy+oWbNmWrJkSbYPZuPi4rR79+4s1+V2LNPkdJ0/ceKEZs+eLUmKiYnRDTfckI/fAmvXrrXP55uVDz74wP45u+sibbLg2bJli9avX68rrrhCrVq1yvN2tEnXufodg3sl4L8SEhLUoUMHlSxZUuPGjcsyzz333KOqVatKyr6Nz549235vfu655zxTWXiEzWazH7PVq1fbX1RKLyUlRdOmTZMkde7cWbGxsZny5OVckqSdO3dm+6KUJM2cOdN+Lg0YMMCpl6XgPjxXhrt461ySeI6G3Pn9dckAMMYYs3fvXlO2bFkjyQwbNsxhXVJSkmnfvr2RZBo1amTOnTuXafvevXsbSUaSadasWbblPPPMM0aSKVu2rPnrr78c1n377bcmKCjISDKzZ892zy9WyGzbts2UK1fOSDIvvfSSWbFiRbY/N954o8nqMpjbsdy9e7d9/RNPPGFSU1Mz5Zk2bZqx2WxGkrnzzjs98rsGsn79+hlJpnz58uaPP/7ItP748eOmUaNGRpIJDw83GzZsyJSHNlnwrF+/3kgysbGxed6G9ugbL7/8sv3vumLFijxtM3HiRCPJhIWFmfXr1zus27Rpk4mIiDCSzNtvv53l9gkJCSY4ONhe7qRJk7LMd+rUKVO7dm0jydx+++3m4sWL9nWpqanmnnvuMZJMTEyMOXr0aN5+4QCW32M5evRo+zVx3rx5Od5HJZl+/fpl2kdejmVavSIiIsyaNWsyrT979qy5+eabjSQTFBRkFi9e7MyvHzDyexzT8vbq1cucP38+0/pvv/3WhIaGGkmmdevWJjk5OVMe2qRnOHN9TW/QoEFGknn33XfzvA1t0nXu+I5hDPdKoCBI+z+MJPPyyy/naZsPPvjAvk1wcLBJSEjIMt/ChQtNUFCQsdlsZt68eQ7r9u7daypWrGgkmcGDB7v6a8AHkpOTTcuWLY0k07JlS3P27FmH9c8//7yRZEqWLGl27tyZ5T7yci7FxMTY/48WHx+faf3GjRtN6dKljSRTt25dc/r0aff8gnAJz5XhLp4+l3iOVnjl97uov1+XHF8LAQqxqlWrasGCBbr11lv1zjvvaOvWrerWrZvOnTunjz/+WL/99psaNGig+fPnKywsLNP2aXP6SMpxnuLXX39dx48f15QpU3Tttddq4MCBqlatmuLi4jR16lQFBQVpzJgxDE3jhKSkJLVv317//vuvJGnEiBEaMWJEvveT27GMjIzU5Zdfrr/++ktjxozR8uXL1aNHD1WuXFknT57UkiVLtHTpUknSvffem+uwo8isXr16Klq0qI4cOaIGDRqod+/eatKkiUJCQrR9+3ZNnz5dR48eVfny5fX555+rYcOGmfZBmyx40oZpzWuvb4n26E2ffvqp/fOWLVvsn5cuXaoDBw5Ist7S7NixY5bbP/TQQzpy5IhGjBihtm3b6oEHHlD9+vW1Y8cOTZ48WYmJiXryySf15JNPZrm9McbhGGfXbkuUKKFFixapc+fOmjNnjvbt26c777xTNptNs2fP1po1a1S9enUtWLBA0dHR+f47BAJnj+XcuXPtx+fo0aNOD4Obl2NZq1YthYeHKzExUW3atNFtt92mVq1aKSIiQn/99Zc+/fRT7d27V1FRUfroo4900003OVUXf+ZKm4yNjdXmzZv1+eefKy4uTr1791aNGjWUmJioH374QV999ZWMMbrppps0Y8aMTL0FJNqkO7l6fU1z9uxZzZgxQ2FhYerbt2+ey6dNusZd3zEk7pWAryxdutQ+pdb27dvt6Vu2bHG4Rvfp0yfL7dN/J5Gyb3udO3fWpEmTNHjwYPXs2VN9+/bVddddp3379mnSpEk6evSo7rzzTo0dO9bF3wi+EBwcrK+//lpdunTR6tWr1ahRI/Xv318RERFavHixFi1apOjoaH3xxReqVatWlvvIy7kUGxurvXv3atWqVapTp47uvvtu1a1bV8nJyVq3bp1mzZqlCxcuqEmTJvryyy/dMp0YXMdzZbiLp88lnqMVLq58F/X765LXwuyAnzh69Kh5/vnnTb169UxERIQpWbKkufbaa83YsWOz7DmTZvPmzaZmzZqmUqVKZuXKlbmWs2jRItOlSxdz2WWXmdDQUBMTE2P69u1r4uLi3PnrFConT560v42Un5+M8nIsU1NTzbJly8zQoUNN06ZNTZkyZUxwcLCJjIw0derUMQ888ID56aefPP0rB7RDhw6Z999/33Tv3t1cfvnlJjw83BQtWtSUK1fOtG/f3rz77rtZvgWdhjZZsMTHx5vIyEgTERGRrzfTaY/ek5frZZs2bXLdz5o1a0yvXr1MpUqVTEhIiKlYsaLp0aOHWb58ea7bvvXWW6Z48eKmY8eO2faoSZOQkGDeeOMN07BhQxMVFWWioqJMbGys+c9//lPoez84eyzffffdfN9Ds+r5bUzejuXJkyfN1KlTTa9evUzdunVNZGSkCQ4ONtHR0aZFixbmP//5j/n333/d+JfxL662yXXr1pnhw4ebVq1amXLlypmiRYua8PBwU6NGDXP33Xebb775Jtc60Cbdw13X148++shIMn369Ml3HWiTznPXd4z0uFcC3tWmTRuX2m18fLy5/vrrTfHixc3YsWNzLe+3334z999/v6lWrZoJDQ015cuXN506dTJfffWVO38t+EhycrKZMGGCadasmSlVqpQJDw83devWNU8//bT5559/ctw2r+fS1q1bzYgRI0z79u1NxYoVTUhIiAkLCzNVqlQxt912m5k9e7ZJSUlx968GN+C5MtzFk+cSz9EKD1e+i/r7dclmTA4hewAAAAAAAAAAAAAA/ECQrysAAAAAAAAAAAAAAICrCH4DAAAAAAAAAAAAAPwewW8AAAAAAAAAAAAAgN8j+A0AAAAAAAAAAAAA8HsEvwEAAAAAAAAAAAAAfo/gNwAAAAAAAAAAAADA7xH8BgAAAAAAAAAAAAD4PYLfAAAAAAAAAAAAAAC/R/AbAAAAAAAAAAAAAOD3CH4DAAAAAAAAAAAAAPwewW8AAAAAAAAAAAAAgN8j+A0AAAAAAAAAAAAA8HsEvwEAAAAAAAAAAAAAfo/gNwAAAAAAAAAAAADA7xH8BgAAAAAAAAAAAAD4PYLfAAAAAAAAAAAAAAC/R/AbAAAAAAAAAAAAAOD3CH4DAAAAAAAAAAAAAPwewW8AAAAAAAAAAAAAgN8j+A0AAAAAAAAAAAAA8HsEvwEAAAAAAAAAAAAAfo/gNwAAAAAAAAAAAADA7xH8BgAAAAAAAAAAAAD4PYLfAAAAAAAAAAAAAAC/R/AbAAAAAAAAAAAAAOD3CH4DAAAAAAAAAAAAAPwewW8AAAAAAAAAAAAAgN8j+A0AAACfmT17to4ePerragAAAAAAAAAIAAS/AQAA4BOzZs1Sr169lJiY6OuqAAAAAAAAAAgANmOM8XUlAAAAULhs3rxZzZs3V8WKFbVr1y5fVwcAAAAAAABAAKDnNwAAALzql19+UYcOHXT27Fl17NjR19UBAAAAAAAAECAIfgMAAMBrFi9erHbt2unYsWOSpBtuuMHHNQIAAAAAAAAQKAh+AwAAwOMSEhL0+OOPq0uXLkpISJAkBQcHq127dj6uGQAAAAAAAIBAQfAbAAAAHrNhwwYNGzZMNWrU0NixY2WMsa+LiIjQ008/rYceekgPPfSQxowZ48OaAgAAAADgW8ePH9e0adPUq1cvVatWTREREbr33nuVmpqaZf4LFy7otddeU/Xq1RUVFaVHH33UyzUGgILHZtI/gQQAAADcZO/evbr88st18eLFPOXv16+fpk2b5tlKAQAAAABQwCxdulQTJkzQokWLlJycnGn9zJkzdeeddzqkxcfH6+abb9aaNWsc0levXq0WLVp4tL4AUJDR8xsAAAAeERMTo5SUFBljZIzRU0895bD+559/tq8zxhD4BgAAAAAUSn/88YfuuOMO7dy5U4cPH9b999/vsH7WrFkOy8nJyerWrVumwLcknTt3zqN1BYCCjp7fAAAA8IrGjRsrLi5OklSiRAkdP35cRYoU8XGtAAAAAAAoWE6fPq3y5cvr/PnzkqTixYvr5MmTCgqy+jMOGTJEn332maZPn66YmBhNmjRJ06dPV6tWrTR37ly+awMo1Ah+AwAAwONOnjyp6Oho+zxlXbt21fz5831cKwAAAAAACqYbbrhBS5cutS9v27ZN9erV09y5c3XXXXfpxx9/VKNGjZza97///qujR4+qfv367qouABQYDHsOAAAAj1uxYoU98C1J7dq182FtAAAAAAAo2K6//nqH5V9//VVHjhzRAw88oPfee8+pwPexY8f0zDPPqEaNGpozZ46bagoABUuwrysAAACAwLd8+XKH5fbt2/uoJgAAAAAAFHwtWrRwWP711181f/58NWvWLNOc4Lk5fvy43nnnHb333ntKSEhwZzUBoMAh+A0AAACPW7Zsmf1z2bJldeWVV/qwNgAAAAAAFGzXXnutihYtquTkZEnS9OnTdfHiRf3+++953kdKSopGjRql33//XRUrVvRUVQGgQCH4DQAAAI/6559/tGPHDvty27ZtZbPZfFgjAAAAAAAKtmLFiqlhw4Zav369JOn06dN68803VaVKlTzvw2azafDgwSpdurQk6dy5c5o4caJH6gsABQVzfgMAAMCj0vf6lpjvGwAAAACAvGjevLnDcsZ5wHNTpEgRe+BbksqVK+eOagFAgUbwGwAAAB6Vcb5vgt8AAAAAAOQu47zfv/32m49qAgD+g+A3AAAAPCp9z+8qVaqoVq1aPqwNAAAAAAD+ISYmxmF5zZo1PqoJAPgPgt8AAADwmF27dmn//v32ZXp9AwAAAACQu5SUFD3yyCMOaT/88INvKgMAfoTgNwAAADyG+b4BAAAAAMi/l156SVu3bnUY+nz37t0OL5gDADIj+A0AAACPYb5vAAAAAADyZ+XKlXrzzTc1ceJE9evXz2Edvb8BIGcEvwEAAOARxhitWLHCvlyrVi1VrlzZhzUCAAAAAKBgO3nypPr06aN+/frpnnvuUZs2bRzWr1y50kc1AwD/QPAbAAAAHrF582YdO3bMvty+fXuH9R9//LEOHjzo7WoBAAAAAFBgDRgwQMWLF9f48eMlSbVr11aFChXs67Pq+b1jxw7NmDHDW1UEgAKN4DcAAAA8IuMX8vRDnq9evVozZ85UxYoVvVwrAAAAAAAKpkmTJmnJkiWaPXu2wsPD7emtW7e2f/7rr78c5v0+d+6cevXqpYiICK/WFQAKKoLfAAAA8Igff/zRYblt27aSpP3792vQoEH66KOPZLPZfFE1AAAAAAB8Zt26dRo7dqx2795tT1u7dq2GDh2q8ePHq379+g75Mw59/sUXX0iSUlJS1KdPH9WvX1/du3f3eL0BwB8E+7oCAAAACEw//fST/XNERISio6P1zz//qHv37ho3bpwqVarkw9oBAAAAAOB9f//9t1q3bq3k5GQ9/fTTGjBggKpXr64RI0aod+/e6t+/f6ZtMk4jNmLECAUHB2vu3Ln6+++/tXHjRm9VHwAKPILfAAAAcLv4+HgdOnTIvpyYmKjWrVtrx44dGjNmjL0XOAAAAAAAhcn27duVnJwsSUpOTtaECRMkSc2bN9fEiROz3KZ27dqqX7++tm3bJkk6deqUHn30UUVERGjVqlUqWbKkV+oOAP6AYc8BAADgdsWLF1fNmjUd0nbu3KmPPvpIffr08VGtAAAAAADwrWbNmumyyy5zSGvfvr0WL16ssLCwbLcbMWKEgoIuhXSio6O1aNEiXXPNNR6rKwD4I3p+AwAAwCPWrl2rOXPm6PTp06pTp45uuukmFStWzNfVAgAAAADAZ0qXLq0tW7boyy+/VGJioho3bpxpTu+s3HbbbVq/fr1WrFih0qVL67bbbqPHNwBkgeA3AAAAPKJs2bIaNGiQr6sBAAAAAECBUrZsWT300EP53q5Ro0Zq1KiRB2oEAIGDYc8BAAAAAAAAAAAC3IULF3xdBQDwOILfAAAAAAAAAAAAAe7333+3fz506JAPawIAnkPwGwAAAAAAAAAAIECdOHFCEyZM0Pz58+1pn376qb766iudOXPGhzUDAPezGWOMrysBAAAAAAAAAAAA92rcuLHi4uJyzNOgQQNt3LjRSzUCAM8i+A0AAAAAAAAAAAAA8HsMew4AAAAAAAAAAAAA8HsEvwEAAAAAAAAAAAAAfo/gNwAAAAAAAAAAAADA7xH8BgAAAAAAAAAAAAD4PYLfAAAAAAAAAAAAAAC/R/AbAAAAAAAAAAAAAOD3CH4DAAAAAAAAAAAAAPwewW8AAAAAAAAAAAAAgN8j+A0AAAAAAAAAAAAA8HsEvwEAAAAAAAAAAAAAfo/gNwAAAAAAAAAAAADA7xH8BgAAAAAAAAAAAAD4PYLfAAAAAAAAAAAAAAC/R/AbAAAAAAAAAAAAAOD3CH4DAAAAAAAAAAAAAPwewW8AAAAAAAAAAAAAgN8j+A0AAAAAAAAAAAAA8HsEvwEAAAAAAAAAAAAAfo/gNwAAAAAAAAAAAADA7xH8BgAAAAAAAAAAAAD4PYLfAAAAAAAAAAAAAAC/R/AbAAAAAAAAAAAAAOD3CH4DAAAAAAAAAAAAAPze/wNdm0NIbk5towAAAABJRU5ErkJggg==\",\n      \"text/plain\": [\n       \"<Figure size 1000x400 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 390,\n       \"width\": 991\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig = plt.figure(figsize=(10, 4))\\n\",\n    \"ax1 = plt.subplot2grid((2, 5), (0, 0), colspan=3)\\n\",\n    \"ax2 = plt.subplot2grid((2, 5), (1, 0), colspan=3)\\n\",\n    \"ax3 = plt.subplot2grid((2, 5), (0, 3), colspan=2, rowspan=2)\\n\",\n    \"\\n\",\n    \"ax1.plot(t, y[:, 0], 'r')\\n\",\n    \"ax1.set_ylabel('$x_1$', fontsize=18)\\n\",\n    \"ax1.set_yticks([-1, -.5, 0, .5, 1])\\n\",\n    \"\\n\",\n    \"ax2.plot(t, y[:, 2], 'b')\\n\",\n    \"ax2.set_xlabel('$t$', fontsize=18)\\n\",\n    \"ax2.set_ylabel('$x_2$', fontsize=18)\\n\",\n    \"ax2.set_yticks([-1, -.5, 0, .5, 1])\\n\",\n    \"\\n\",\n    \"ax3.plot(y[:, 0], y[:, 2], 'k')\\n\",\n    \"ax3.set_xlabel('$x_1$', fontsize=18)\\n\",\n    \"ax3.set_ylabel('$x_2$', fontsize=18)\\n\",\n    \"ax3.set_xticks([-1, -.5, 0, .5, 1])\\n\",\n    \"ax3.set_yticks([-1, -.5, 0, .5, 1])\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch9-coupled-damped-springs.pdf')\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"#### Same calculation as above, but with specifying the Jacobian as well:\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 148,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def jac(t, y, args):\\n\",\n    \"    m1, k1, g1, m2, k2, g2 = args\\n\",\n    \"    \\n\",\n    \"    return [[0, 1, 0, 0], \\n\",\n    \"            [- k1/m1 - k2/m1, - g1/m1, k2/m1, 0],\\n\",\n    \"            [0, 0, 0, 1],\\n\",\n    \"            [k2/m2, 0, - k2/m2, - g2/m2]]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 149,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"r = integrate.ode(f, jac).set_f_params(args).set_jac_params(args).set_initial_value(y0, t[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 150,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"dt = t[1] - t[0]\\n\",\n    \"y = np.zeros((len(t), len(y0)))\\n\",\n    \"idx = 0\\n\",\n    \"while r.successful() and r.t < t[-1]:\\n\",\n    \"    y[idx, :] = r.y\\n\",\n    \"    r.integrate(r.t + dt)\\n\",\n    \"    idx += 1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 151,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAB78AAAMNCAYAAADgO7BmAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAB7CAAAewgFu0HU+AAEAAElEQVR4nOzdd1hTSRcG8Dd0Fawgooi9994V/exd1466upa16xZdbNts69rXvrqWtffee8Xeu6IoiL0gKtJyvz9mgdybEBJICIT39zx5zEzuvTNoTEjOnDMqSZIkEBERERERERERERERERERpWI2lp4AERERERERERERERERERFRUjH4TUREREREREREREREREREqR6D30RERERERERERERERERElOox+E1ERERERERERERERERERKkeg99ERERERERERERERERERJTqMfhNRERERERERERERERERESpHoPfRERERERERERERERERESU6jH4TUREREREREREREREREREqR6D30RERERERERERERERERElOox+E1ERERERERERERERERERKkeg99ERERERERERERERERERJTqMfhNRERERERERERERERERESpHoPfRERERERERERERERERESU6jH4TUREREREREREREREREREqR6D30RERERERERERERERERElOox+E1ERERERERERERERERERKkeg99ERERERERERERERERERJTqMfhNRERERERERERERERERESpHoPfRERERERERERERERERESU6jH4TURERERERERERLEkScKcOXPg7OwMlUqFo0ePmnyM3bt3o2XLlsiVKxecnJyQL18+9OzZE5cuXTL5WERERESUdjD4TURERERERERERAAAf39/eHt7Y/Dgwfj06ZPJr69Wq9G3b180a9YMp06dQvfu3fHXX3+hQYMGWL16NapUqYK//vrL5OMSERERUdqgkiRJsvQkiIiIiIiIiIiIyHIkScLcuXPh6+sLW1tbFC9eHGfOnAEAHDlyBN7e3iYZx9fXF5MnT4arqyv8/PxQsGDB2Mf27t2LZs2aQZIkrFu3Du3btzfJmERERESUdjDzm4iIiIiIiIiIKI377bffMHjwYNSsWRM3btxAo0aNTD7GzZs3MWXKFADAuHHjZIFvAGjcuDG6desGSZLMlnlORERERNaNwW8iIiIiIiIiIqI0TpIkLF68GHv37kXu3LnNMsakSZOgVquRLl06+Pj46DymT58+AIAXL15g8eLFZpkHEREREVkvBr+JiIiIiIiIiIjSuF9//RW9evUy2/XDw8OxY8cOAECVKlXg4uKi87hq1arB2dkZALBhwwazzYeIiIiIrBOD30RERERERERERGmcSqUy6/UvXLiADx8+AADKli0b73E2NjYoXbo0AMDPzw9hYWFmnRcRERERWRcGv4mIiIiIiIiIiMisbty4EXs/obLqMY+r1WrcuXPHrPMiIiIiIutiZ+kJECl9+fIF169fBwC4ubnBzo5PUyIiIiIiIqKUKCoqCq9evQIAlCpVCk5OThaeEaVUAQEBsffd3d31Hqv5eEBAAMqVK2fwOEFBQXof//LlC+7cuQN3d3d+70RERERkYeb4PMHf7ijFuX79OipXrmzpaRARERERERGREc6dO4dKlSpZehqUQoWGhsbeT+hLzXTp0uk8zxAJZZUTERERUcpkqs8TLHtOREREREREREREZqW5d7eDg4PeYzUf//z5s9nmRERERETWh5nfqZQkSZg7dy58fX3x6dMnHDlyBN7e3iYdY/fu3ViwYAEuXryIN2/ewMPDA97e3hg8eDDKly9v0rE0ubm5xd4/d+4cPDw8zDYWERERERERESXes2fPYqu3aX6eJ1LSzOaOiIjQe6zm4+nTpzdqnMDAwAQfr169OgB+70RERERkaeb4PMHgdyrk7++Pb775BsePHzfL9dVqNfr164dFixYha9as6Nu3L/Lly4cLFy5g+fLlWLlyJaZNm4YhQ4aYZXzNvZY8PDzg6elplnGIiIiIiIiIyHS4dzLp4+LiEnv/y5cveo/VzBLXPM8QxnyPxO+diIiIiFIOU32e4KeSVEQz29vW1hZVq1bFmTNnTD7OqFGjsGjRIri6usLPzw8FCxYEAPTt2xdt27ZFs2bNMGzYMHh4eKB9+/YmH5+IiIiIiIiIiKxL3rx5Y++/ePFC77Gaj2ueR0RERESUEO75nYr89ttvGDx4MGrWrIkbN26gUaNGJh/j5s2bmDJlCgBg3LhxsYHvGI0bN0a3bt0gSRIGDx6MT58+mXwORERERERERERkXUqWLBl7P6HS5EFBQQAAGxsbFC1a1KzzIiIiIiLrwuB3KiJJEhYvXoy9e/cid+7cZhlj0qRJUKvVSJcuHXx8fHQe06dPHwBiFe7ixYvNMg8iIiIiIiIiIrIeFStWjC1hfuXKlXiPU6vVuHr1KgCgWrVqsr3CiYiIiIgSwuB3KvLrr7+iV69eZrt+eHg4duzYAQCoUqVKvHsqVatWDc7OzgCADRs2mG0+RERERERERERkHRwdHdGyZUsAwNmzZ/Hx40edx505cyb2MW63R0RERETGYvA7FVGpVGa9/oULF/DhwwcAQNmyZeM9zsbGBqVLlwYA+Pn5ISwszKzzSlWiowFJsvQsiIiIiIiIiIiS1Y0bN1C4cGF4enri+PHjOo/x9fWFjY0NwsLCsHr1ap3HxFQZdHd3R+/evc02XyIiIiKyTgx+U6wbN27E3k+orHrM42q1Gnfu3DHrvFKV774DOnUCuCCAiIiIiIiIiNKQCRMm4P79+3j69Cl8fX11HlOyZEkMHz4cADBmzBg8fPhQ9vj+/fuxfPlyAMDs2bORIUMG806aiIiIiKyOnaUnQClHQEBA7H13d3e9x2o+HhAQgHLlyhk8TlBQkN7Hnz17ZvC1UpT584HZs8X9R4+ArVuBnDktOiUiIiIiIiIiIkOtXLky9v61a9di7x84cCD2+xx3d3c0aNBA61y1Wh17X9JTFW/ixIl48+YNFi9ejMqVK+Pbb79F3rx5cfHiRSxduhQ2NjaYPn06S54TERERUaIw+E2xQkNDY+87OTnpPTZdunQ6zzNEQlnlqdLBg8DgwXHt8+eBpk2Bc+cABwfLzYuIiIiIiIiIyEDdunXT2T9x4sTY+3Xq1NEZ/B49ejQuXbqEsLAwTJ48Od4xbGxssGjRIrRp0wbz58/HkiVL8O7dO+TIkQOdOnXC0KFDUb58+aT/MERERESUJjH4TbE09+52SCBgq/n458+fzTanVEOSgAwZgP/2TAcAXL0KbNkCdOxouXkRERERERERERlIX8Z2QkqXLo379+8bfHzTpk3RtGnTRI9HRERERKQLg98USzObOyIiQu+xmo+nT5/eqHECAwP1Pv7s2TNUrlzZqGtaXIMGwJkzQI0awLt3cf0LFzL4TURERERERERERERERJQMGPymWC4uLrH3v3z5ovdYzSxxzfMM4enpadzEUotixcSe3127xvUdOQIEB3PvbyIiIiIiIiIiIiIiIiIzs7H0BCjlyJs3b+z9Fy9e6D1W83HN89K8du2ATJnkfceOWWYuRERERERERERERERERGkIg98Uq2TJkrH3EypNHhQUBACwsbFB0aJFzTqvVMXREahdW9539KhFpkJERERERERERERERESUljD4TbEqVqwYW8L8ypUr8R6nVqtx9epVAEC1atVke4UTgDp15G1mfhMRERERERERERERERGZHYPfFMvR0REtW7YEAJw9exYfP37UedyZM2diH2vfvn2yzS/V8PaWt+/eBd68schUiIiIiIiIiIiIiIiIiNIKBr/TkBs3bqBw4cLw9PTE8ePHdR7j6+sLGxsbhIWFYfXq1TqPWbx4MQDA3d0dvXv3Ntt8U60yZQAHB3nf9euWmQsRERERERERERERERFRGsHgdxoyYcIE3L9/H0+fPoWvr6/OY0qWLInhw4cDAMaMGYOHDx/KHt+/fz+WL18OAJg9ezYyZMhg3kmnRnZ2QIkS8r7/ysQTERERERERERERERERkXnYWXoCZJyVK1fG3r927Vrs/QMHDiAoKAiAyMhu0KCB1rlqtTr2viRJ8Y4xceJEvHnzBosXL0blypXx7bffIm/evLh48SKWLl0KGxsbTJ8+nSXP9SlTBrh8Oa7N4DcRERERERERERERERGRWTH4ncp069ZNZ//EiRNj79epU0dn8Hv06NG4dOkSwsLCMHny5HjHsLGxwaJFi9CmTRvMnz8fS5Yswbt375AjRw506tQJQ4cORfny5ZP+w1iz0qXlbQa/iYiIiIiIiIiIiIiIiMyKwe9URl/GdkJKly6N+/fvG3x806ZN0bRp00SPl6aVKSNv37wJqNWADXcaICIiIiIiIiIiIiIiIjIHRuKIzKF4cXk7PBwIDLTMXIiIiIiIiIiIiIiIiIjSAAa/iczB3R1wcZH3GZF1T0RERERERERERERERETGYfCbyBxUKqBwYXnfvXuWmQsRERERERERERERERFRGsDgN5G5MPhNRERERERERERERERElGwY/CYyl0KF5G0Gv4mIiIiIiIiIiIiIiIjMhsFvInNRZn5zz28iIiIiIiIiIiIiIiIis2Hwm8hcChSQt588AdRqy8yFiIiIiIiIiIiIiIiIyMox+E1kLnnyyNsREcCLF5aZCxEREREREREREREREZGVY/CbyFzc3QEHB3nf48eWmQsRERERERERERERERGRlWPwm8hcbGyA3LnlfQx+ExEREREREREREREREZkFg99E5qQsff7kiWXmQURERERERERERERERGTlGPwmMicvL3mbmd9EREREREREREREREREZsHgN5E5KTO/GfwmIiIiIiIiIiIiIiIiMgsGv4nMiWXPiYiIiIiIiIiIiIiIiJIFg99E5sSy50RERERERERERERERETJgsFvInNSZn6HhIgbEREREREREREREREREZkUg99E5pQ7t3Yfs7+JiIiIiIiIiIiIiIiITI7BbyJzcnQEPDzkfdz3m4iIiIiIiIiIiIiIiMjkGPwmMjfu+01ERERERERERERERERkdgx+E5mbct9vBr+JiIiIiIiIiIiIiIiITI7BbyJzY/CbiIiIiIiIiIiIiIiIyOwY/CYyt9y55e2nTy0zDyIiIiIiIiIiIiIiIiIrxuA3kbnlyiVvBwdbZh5EREREREREREREREREVozBbyJzy5lT3g4OBiTJMnMhIiIiIiIiIiIiIiIislIMfhOZmzL4HR4OvHtnmbkQERERERERERERERERWSkGv4nMLUcO7T6WPiciIiIiIiIiIiIiIiIyKQa/iczNwQFwc5P3PX1qmbkQERERERERERERERERWSkGv4mSQ65c8jYzv4mIiIiIiIiIiIiIiIhMisFvouSg3PebwW8iIiIiIiIiIiIiIiIik2Lwmyg5MPhNREREREREREREREREZFYMfhMlBwa/iYiIiIiIiIiIiIiIiMyKwW+i5MDgNxEREREREREREREREZFZMfhNlBwY/CYiIiIiIiIiIiIiIiIyKwa/iZKDMvj97BmgVltmLkRERERERERERERERERWiMFvouSgDH5HRwOvXllmLkRERERERERERERERERWiMFvouSQPTtgayvve/rUMnMhIiIiIiIiIiIiIiIiskIMfhMlB1tbIEcOeR/3/SYiIiIiIiIiIiIiIiIyGQa/iZKLsvQ5g99EREREREREREREREREJsPgN1FyYfCbiIiIiIiIiIiIiIiIyGwY/CZKLgx+ExEREREREREREREREZkNg99EyYXBbyIiIiIiIiIiIiIiIiKzYfCbKLkkR/D77VugTx+gcmWgZUvg5EnTj0HWJzIS2LQJGDsW2LpVtImIiIiIiIiIiIiIiFIZBr9TqdevX2Ps2LEoWbIknJ2dkTVrVlSrVg1//fUXIiIiknTto0ePQqVSGXSbOnWqiX6iNMDcwe/wcKBZM2DxYuD8eWDHDqBBA+DGDdOOQ9YlOFgslmjXDhg/HmjTBqhWDXj50tIzIyIiIiIiIiIiIiIiMgqD36nQuXPnULp0aYwfPx45c+bE5MmTMWrUKHz8+BFDhw5F1apVEcyS2imPMvj98qVpM2wnTgTOnJH3ffkCdO8OqNWmG4esR3g40Lo1cOWKvP/iRVE5IIkLaYiIiIiIiIiIiIiIiJKTnaUnQMZ58uQJmjdvjlevXmHYsGGYMWNG7GODBw9GkyZNcOTIEbRs2RKnTp2Co6Njosdavnw5KleurPeY7NmzJ/r6aY4y+C1JwPPnQO7cSb92eDgwd67uxy5fBk6cAOrUSfo4ZF1mzxZVAnQ5exZYtAgYODB550RERERERERERERERJRIDH6nMsOHD8erV6/g5eWFP/74Q/aYo6MjFi1ahCJFiuDixYuYM2cOfvjhh0SP5eXlhaJFiyZ1yhQjWzbAwUGeTRscbJrg95YtwJs38T++ciWD3yQXGgooXkO0jBsH9OwJpE+fPHMiIiIiIiIiIiIiIiJKApY9T0Xu37+PDRs2AAC6d++uM6u7QIECqFu3LgBg8uTJiIqKStY5kh4qlfn2/V6zRv/jGzaYtsQ6pX6rVmkvmJgyRd5+8QLYtCn55kRERERERERERERERJQEDH6nIhs3boQkSQCA+vXrx3tcgwYNAACvXr3C0aNHk2NqZChl8Pvp06RfMyICOHxY3jd+vLwdEgJcupT0sch6LFkibzdrBvz4I6B8bVEeR0RERERERERERERElEIx+J2KHNYIcJYtWzbe48qVK6fznKSIiIhAWFiYSa6Vppkj89vPD/j4Ud7Xpw9QvLi87/jxpI9F1uH2be29vvv3F3/26SPvP3oUePIkWaZFRERERERERERERESUFAx+pyI3btwAALi4uCBTpkzxHpdbYw/pmzdvJnq806dPo1WrVsiZMyecnJyQPn16ZM6cGc2aNcOWLVtis9DJCObI/D5wQN4uVw7Inh2oXVvef+JE0sci67B5s7zt4QE0aiTut2oFZMkif3zHjuSZFxERERERERERERERURIw+J1KhIeH4/nz5wAAd3d3vcdqPh4QEJDoMUePHo2nT5/C19cXO3bswJo1a9CmTRvs27cPbdu2RcuWLREaGmr0dYOCgvTenj17lug5p3i5csnbpsj8Pn1a3v6v7L3O4DcXLBAAbN8ub3/1FWBnJ+47OgLNm+s/noiIiIiIiIiIiIiIKAWys/QEyDCaQWYnJye9x6ZLl07necYaMmQIZsyYARubuDUSnTp1QqdOndC8eXPs3LkTXbp0wQ4js0I1M9PTHGXwO6mZ39HRwLlz8r4aNeR/xnj/Hnj8GMibN2ljUur27Jn2c6ZVK3m7RQtgxYq49pEjorS+s7P550dERERERERERERERJRIzPxOJTT323ZwcNB7rObjnz9/NnqsqlWrIiAgADNnzpQFvmM0atQI/fr1AwDs3LkT27ZtM3qMNMvUZc9v3gQ+fZL3Vaki/sydW7t89dWrSRuPUr/Dh+XtjBm1qwQ0agTY28e1IyOBkyfNPzciIiIiIiIiIiIiIqIkYPA7ldDM5o6IiNB7rObj6dOnN3osJycn5MmTByqVKt5jevXqFXt/yZIlRl0/MDBQ7+2cMivVmigzvz98EBm1iXXmjLydNy8QU/ZepQLKlJE/zuA3HT0qb3t7A8oFNRkzApUry/uUQXMiIiIiIiIiIiIiIqIUhmXPUwkXF5fY+1++fNF7rGaWuOZ5plSqVCk4OjoiPDwcp5V7TifA09PTLHNKFZSZ34DY97tw4cRd79IleTsm6ztG6dLyYCeD36Qr+K1LvXrAqVNx7SNHzDUjIiIiIiIiIiIiIiIik2Dmdyrh6OiIHDlyAABevHih91jNx/OaaX9nW1tbZM2aFQDw5s0bREVFmWUcq+PsLLJqNSWl9PmVK/J2+fLyNjO/SVNQEPDggbwvvuB33bry9qVLQGioWaZFRERERERERERERERkCsz8TkVKliyJ58+fIzQ0FCEhIciUKZPO44KCgmLvlyhRwmzzUavVAACVSqVzb3CKR65cotx5jODgxF0nOhq4dk3eV7asvF2qlLz96BEQHg44OiZuTErdlFnfWbJoL5CIUa2a2Pc7MlK01WrgwgXtoDgRERERERERERFZnfDwcDx48AD37t1DaGgonJycZDdHR0etPicnJ7i4uDBeQEQWxeB3KlKvXj0cPHgQAHDlyhXUqVNH53GXNEph16tXz6gxQkJCMHv2bNSqVSve6wNAZGQk3r59CwDInj0738yMkSsXcPt2XDuxmd/37wMaJe4BaAcyixSRt9VqwN8fKF48cWNS6qYMfteuDcT3f9fJSTyfLlyI6ztzhsFvIiIiIiIiIiIiK/L+/XtcvHgRd+/exb1793D37l3cvXsXjx8/jk2AM4aTkxPy5cuH/PnzI3/+/Fr3nZ2dzfBTEBHFYfA7FWnXrh1Gjx4NSZJw6NCheIPTMQFyV1dXeMdX0jge7969w9ixY/Htt9/qDX5fvHgRkf9lhNasWdOoMdI85b7fiQ1+K0uY58gBuLvL+zJmFP3Pn8f13bvH4HdaZeh+3zGqVtUOfhMREREREREREVGq9/btW0yYMAFz5sxBRESEya775csX3L59G7c1E8A0ZM+eXRYQz58/PwoVKoSyZcvCxcXFZPMgorSLwe9UpFChQmjfvj3Wr1+PFStWYMyYMXBwcJAd8/DhQxw+fBgA8NNPP8HOTv5PfOPGDbRt2xafP3/G6tWrUbt2bZ1j7d+/H9HR0bC1tdX5+Pz582Pv9+3bNyk/VtqTK5e8ndiy5zdvytvxla8uXFge/L57N3Hjkfncvg2cPw/kywfUrAmoVKYf49kzkfWvKaHgd5UqwJw5ce2zZwFJMs/8iIiIiIiIiIiIyOzCw8Mxb948jBs3Du/evUv28V++fImXL1/i7Nmzsn6VSoVChQqhfPnysbdy5coha9asyT5HIkrdGPxOZaZMmYIjR44gICAAo0aNwtSpU2MfCw8PR9++fREdHY0KFSpg0KBBWudPmDAB9+/fBwD4+vri9OnTOsd59OgRRowYgalTp0KlCHQtX74cK1asAAB07twZDRo0MNWPlzYog9+JzfxWrpyLL5u7SBHg+PG49r17iRuPTE+SgLFjgYkTxX0AqFAB2LoV8PQ07VjKrG0XF+094ZWqVpW3X7wAHj8G8uY16dSIiIiIiIiIiIjI/DZt2oQRI0bg4cOHBp/j4eEBd3d3hIeH48uXL7F/xtwSUxpdF0mScO/ePdy7dw9r166N7c+bN68sIF6+fHm4KyugEhFpYPA7lfHy8sKOHTvQpk0bTJs2DTdu3EDLli0RFhaG5cuX4/r16yhbtiy2b98OJycnrfM134ikmGCbBmdnZxQoUAD+/v6YPn06Dh8+jK+++gqenp549+4d9uzZgwMHDgAAevToIcsAJwOZquy5MvhdtKju4woXlreZ+Z1yTJ8OTJgg77t4UeyrffGiKFtvKoqVlKhcGYinskOsAgWAbNmAN2/i+s6cYfCbiIiIiIiIiIgolZk/fz4GDBig8zF7e3uULFkSRYoUQeHChVGkSBEUKVIEhQoVQsYEvqOMioqKDYR/+vQJgYGBePjwYezt0aNHePjwIYITWQE1ICAAAQEB2Lx5c2xfzpw5ZcHwqlWrMiBORLEY/E6FqlSpgmvXrmHmzJnYsmULRowYAXt7exQuXBgzZ85E//79tcqhxxg9ejQuXbqEsLAwTJ48WetxV1dX3L9/H0eOHMGOHTtw5swZzJw5EyEhIXByckKuXLnQu3dv9OrVC1WVWaFkGGXm97NngFoN2NgYfo2oKOC/DP5YxYrpPlYZ/H70yPBxyHwePxZZ37o8eACMGwdMmWK68ZTB7ypVEj5HpRLH7d4tv06nTqabFxEREREREREREZnVu3fvMGLECJ2PdezYERMnTkT+/PkTdW07Ozs4OzvD2dkZrq6uyJMnD2rWrKl1XFhYGAICAmQB8YcPH+LBgwe4e/cuoqKiDB4zODgYwcHB2LlzZ2xfoUKFUKtWrdhb/vz5taraElHawOB3KuXq6orx48dj/PjxRp1XunTp2LLn8VGpVKhXrx7q1auXlClSfJTB78hI4PVrIHt2w6/x6BEQESHviy/zO08eefvZM3FuPAskKJnMmAGEhcX/+MyZwKBB2v9+iREdLfYU12To4hVl8FtZPp2IiIiIiIiIiIhStHnz5uHjx4+yvurVq2PatGnJluSWLl06FCtWDMV0JHF9+fIFN27cwKVLl2Jv165dQ3h4uMHXv3//Pu7fv48lS5YAEOXaNYPhpUqVgo0xCWhElGox+E2U3NzdRZa35l4oT58aF/y+c0fezpYNcHPTfawyeCpJQGCgKGlNlhEWBixfLu+rXx84dkwshgBEdv/8+cAffyR9vJs3gU+f5H2GZH7rOu7KFTE3O759EBERERERERERpXSfP3/GrFmzZH3t2rXD+vXrU0xmtJOTEypWrIiKFSvG9kVGRuL27duygPjly5fx+fNng6757NkzrF+/HuvXrwcAZMqUCTVq1ECtWrVQu3ZtVKxYMd4KukSUujF6QZTc7OxEAPzZs7i+4GCgXDnDr6Hc7zu+kucAkDmz2Dv6w4e4voAABr8taetW4P17ed/ChWIP8Llz4/oWLQJ+/RVwckraeMps7Xz5DF9sUb68vP3lC3DvHlC8eNLmRERERERERERERGa3dOlSvHr1StY3evToFBP4jo+9vT1Kly6N0qVLo0ePHgCA6Oho3Lt3TxYQv3DhglZWuy4hISHYvXs3dv9X5dLJyQlVqlSJzQyvVq0aXFxczPkjEVEyYfCbyBJy5ZIHv58+Ne58ZeZ3fCXPY+TJA1y/Htd+/Ni48ci0tm+Xtxs0APLnBwYPlge/374VJcfbtk3aeInZ7zuGm5t4vmo+Ry9fZvCbiIiIiIiIiIgoFVi7dq2s3bhxY5QtW9Yyk0kiW1vb2NLpPj4+AICoqChcvXoVJ06ciL0pg/26fPnyBceOHcOxY8dir12lShXUr18fDRo0QJUqVWBvb2/Wn4eIzIMbHBBZQs6c8raxwW9jMr8BIG9eeZvBb8uJjAT27JH3tWsn/ixSBPD2lj+2enXSx0xK8BsAlL8MX7mSlNkQERERERERERFRMnnz5o2s3TapiTYpjJ2dHSpUqIBhw4Zh06ZNePHiBe7cuYNFixahe/fuyJcvn0HXiY6OxunTp/H777+jVq1ayJYtG1q2bInZs2fjzp07kCTJzD8JEZkKM7+JLCFXLnnbmOC3JCUu81sTg9+Wc/o0EBIi72vWLO5+ly7A0aNx7Z07xX7dGTIkbrwPH4Bbt+R9xga/y5UDdu2Ka1++nLi5EBERERERERERUbLKnz8/bmskUwUFBVlwNuanUqlQpEgRFClSBL179wYAPH36VJYZfuPGjQSD2aGhodixYwd27NgBAPD09IzNCq9fvz6yG7qtJBElO2Z+E1mCMvgdHGz4uS9eaO8XnVDmN4PfKcd/ZXRilS0rfz589ZXYFz5GeDhw6FDix7twQSyYiGFvb9z+8oD28Zcvy69JREREREREREREKVLBggVl7fv371toJpaTK1cudOrUCXPnzsW1a9fw5s0b7NixAyNGjEC1atUMKm8eFBSEZcuWwcfHB+7u7ihbtiyGDx+Offv24fPnz8nwUxCRoZj5TWQJSSl7rix57uQEeHnpP4fB75TjxAl5u25deTtrVqBmTXn29+7dQMuWiRtPWfK8TBnxnDGGsuz527dAUBCQO3fi5kRERERERERERETJolChQrJ2Wgx+K2XJkgXNmzdH8+bNAQCfP3/GiRMncODAARw4cADXrl1L8BpXr17F1atXMXXqVDg6OqJGjRpo0KABGjRogHLlysHGhrmnRJbC/31ElpCUsufKkudFigC2tvrPUQa/AwOB6GjDxyTTiIoC/PzkfbVqaR+nWQYdECXHE5tpfe6cvG1syXMAyJcPyJRJ3sfS50RERERERERERCmeruA396+WS58+PRo1aoSpU6fi6tWreP78OVauXImvv/4aOZWJbDqEh4fj8OHDGDlyJCpWrIjs2bOjS5cuWLVqFV6/fp0MPwERaWLwm8gSlMHvN29EeWtDKDO/Eyp5DmgHv6OijCu1TqZx5YrYv1tTzZraxzVtKm8HBQHXrxs/niRpZ34nJvitUmlnfzP4TURERERERERElOIpy56HhITg5s2bFppN6uDu7g4fHx8sW7YMQUFBuHXrFmbNmoXmzZvD2dk5wfPfvHmDNWvWoGvXrnB3d0f16tUxYcIEXL58mQsPiJIBg99ElqBrtZihwWhl5nfRogmfkz27dqlrlj5PfufPy9uFCwNubtrHFSsG5M0r79u92/jxgoKAZ8/kfZUrG38dQDv4feVK4q5DREREREREREREySZPnjzIli2brO+PP/6w0GxSH5VKhWLFimHIkCHYsWMH3rx5g+PHj2Ps2LGoWrVqguXN1Wo1/Pz8MGbMGJQvXx6enp7o06cPtmzZgtDQ0GT6KYjSFga/iSwhc2YgfXp5X2CgYecmJvNbpeK+3ynBxYvydqVKuo9TqXSXPjeWsuR55syAosyRwcqVk7eZ+U1ERERERERERJTi2draYuDAgbK+NWvW4MGDBxaaUerm4OCAWrVq4ffff4efnx/evHmDLVu2YMCAAVol5nUJDg7G4sWL0bZtW2TLlg0NGjTAjBkzcO/ePWaFE5kIg99ElqBSAV5e8j5DgtGhoSKbV5Mhmd8Ag98pgTL4XaFC/McqS5/7+QEhIcaNpyx5XrkykMBKxHgpg9+PHwNv3ybuWmQdJAnYuBFo2BDInVs8R3791fjnaWK9eAGMHAmULg14egL/+x+wfDmgVifP+EREREREREREqcSQIUNk5brVajWzv00kc+bMaN26NebOnYt79+7h0aNHmD9/Ppo3b4506dLpPTcyMhIHDx7E999/jyJFiqBQoUIYOnQo9u3bhy9fviTTT0BkfRj8JrKUfPnk7UePEj7n7l15W6USpbMNoQx+BwQYdh6ZxpcvwI0b8j59wW9vb8DRMa4dHQ0cOWLcmLqC34lVrBjg4CDvu3o18dej1C0yEujaFWjfHjhwQCzKuXIF+O03oEQJ8z83DhwASpYE/vgDuH4dePoUOHwY6NEDaNQo+QLwRERERERERESpQLZs2TBgwABZ3/Lly/HkyRMLzch65c2bF/369cOOHTvw9u1b7NmzB4MGDUI+ZTxAB39/f/z1119o3LgxsmXLhlatWmHhwoUINLRqLBEBYPCbyHKUezobEoxW7vedL5/2Xt7xUWaaKzPIybxu3gSiouLaKpV2NrWm9OmBWrXkffv2GT5eVBRw4YK8r0oVw89XsrcXwUZNLH2eNkkS0L8/sHq17sefPgXq1NHeosFU9u0DmjcHXr/W/fjBg0CLFmLBCRERERERERERAQC+//57OGl8lxwVFYU///zTgjOyfk5OTmjcuDFmz54Nf39/3L59G9OmTUO9evVgZ2en99zPnz9j+/bt6NevH7y8vFC2bFn8/PPPuHjxIsujEyWAwW8iS0lM5ndi9vuOkSuXvB0cbPi5lHQ3b8rb+fMDLi76z2nYUN7ev9/w8W7dAj5/lvclJfgNaAfrr1xJ2vUoddq4EfjnH/3HhISIAHRoqGnHvntXZJtHROg/7sQJwNfXtGMTEREREREREaVi7u7u6Nu3r6xv8eLFePbsmYVmlLaoVCoULVoU33//PQ4dOoQ3b95g06ZN6NWrFzw8PBI8/+rVqxg3bhwqVqwILy8vDBw4EPv370dEQt+TEaVBDH4TWUpiMr8Z/E69lMHvEiUSPkcZ/H74EPD3N2w8ZcnzfPkANzfDzo1P2bLyNjO/057QUGDwYHmfkxPw++9A9eryfn9/sSe3qURHAz4+2gH1Fi2A2bMBd3d5/6xZIghOREREREREREQAgOHDh8Pe3j62HR4ejrFjx1pwRmlXxowZ0bZtWyxevBhBQUG4ePEixo0bh6pVq0KlUuk9NygoCPPmzUOjRo3g5uaGTp06Yc2aNXj//n3yTJ4ohWPwm8hSlJnfgYHysti6KMueFy1q+Hg5c8rbr14B4eGGn09Jowx+Fy+e8DmlS2sH9AwtfX7mjLydlP2+Yygzv2/fBsLCkn5dSj3++gt48ULe988/wNixotx4pUryx+bOBU6eNM3YS5cCFy/K+zp1ArZsAQYNEpURlNtADBsGqNWmGZ+IiIiIiIiIKJXz9PREz549ZX3//PMPduzYYaEZEQDY2NigfPnyGDNmDPz8/PDixQusWLECnTp1QpYsWfSe++HDB6xbtw5dunSBm5sb6tevj9mzZ3M/d0rTGPwmshRl5nd0tP59uCMjgfv35X3GZH4rg98A8Py54edT0ty6JW8bkvmtUiW+9Pnx4/J21aqGnadP6dJiTjGio7WD+mS9Pn0Cpk2T9zVtCnTuLO6nSwesXSv+1NSnT8JlyhMSEgKMGiXvK1pUBN5tbUW7dGlg0iT5MZcuAZs3J21sIiIiIiIiIiIrMnr0aDg7O8v6evfujVevXlloRqTk5uaGrl27Ys2aNXj58iWOHTuG77//HgUKFNB7XlRUFA4dOoQhQ4YgT548KFeuHH799VdcvnyZ+4RTmsLgN5GlZMsGKH7J0Lvv94MH2pnhxmR+Z8minRXJ0ufJ49Mn7X9bQ4LfgHbw+/BhsRBCn+Bg8XzRVKeOYePp4+ICFCwo72Pp87RjxQrg3Tt538SJ8gUR+fMD48fLj7lzB1iwIGljjxsnqlVomj0bSJ9e3jdokPaioClTAP5yT0REREREREQEAPDy8sLMmTNlfS9fvkTfvn0ZIE2B7OzsULt2bUybNg3379/HzZs3MXHiRFSpUiXBc69cuYLffvsN5cuXR968eTF48GAcPHiQ+4ST1WPwm8hSVCrj9v1WZtjmyAFkzWrceMrs76dPDT+fEk+5V7tKZfjChQYN5O3QUO2S5krHjsnbmTOLrFhTUJY+v3TJNNellE2SRAlzTc2aAWXKaB87dChQsaK879dfgbdvEzf23bti/25NrVoB9etrH2tnB/z8s7zv3DnTlV4nIiIiIiIiIrIC33zzDVq0aCHr27p1K5YtW2aZCZFBVCoVihcvjpEjR+LMmTMIDg7GwoUL0bRpUzg6Ouo998mTJ5gzZw4aNGiA7Nmzo3Pnzli3bh1CQ0OTafZEyYfBbyJLUu77rS/z+8YNebtkSePHUwa/mfmdPJQLF/Ln1y4NHR93d6BsWXlfQqXPjx6Vt2vViisNnVTly8vbyj2YyTpduaL9GjRkiO5jbW0BxephvHunnRFuqO+/l1e9cHAApk6N//h27YA8eeR9+o4nIiIiIiIiIkpjVCoVFi1aBDc3N1n/kCFD8Ejfd9SUonh4eKBv377YtWsXXr9+jU2bNqF79+7ImkDSXEhICNauXYtOnTrBzc0NLVu2xLJly/DmzZtkmjmReTH4TWRJScn8TkzwO1cueZuZ38lD+W9naMnzGMbu+63M/DZFyfMYyozea9cSLsNOqd/q1fJ2njy6M69j1KgBtG8v75szB7h/37hxd+8WN03ffaddfl+TnZ04RtP27cDDh8aNTURERERERERkxdzd3bFo0SJZ38ePH9G9e3dER0dbaFaUWM7Ozmjbti2WL1+OFy9e4OjRo/juu++QP39+veeFh4djx44d6NmzJ9zd3VG/fn3MmzcPwUyco1SMwW8iS1JmfusLfiuzLo0NoALM/LaUW7fk7aQGv8+fB+Jbhff8uSgTrcmUwW9l5nd4uHZwn6yLWg2sWSPv69IFsEngV4g//hBZ2jEiI4ERIwwfNyJCZH1rypEDGD064XN79RLl/jUtX2742EREREREREREaUCrVq3Qq1cvWd/Jkycxbdo0C82ITMHOzg516tTB9OnT8eDBA1y/fh3jx49H5cqV9Z4XHR2NQ4cOYeDAgciVKxeqV6+OadOm4SGTSiiVYfCbyJKUmd/xlZQJD9fOmGTZ89QjqZnfNWrIy6RLEnDokO5jjx+Xt11ctMumJ0WWLKJsu6YLF0x3fUp5TpzQrhLRpUvC5+XPDwwbJu/bulW7LH985s7VXsjxxx/iOZ0QZ2fAx0fet3y5COQTAcDjx8D06UDPnkC3bsAvvwCnT4vXVyIiIiIiIqI0ZMaMGcinSNIaM2YMrly5YpkJkUmpVCqULFkSo0ePxtmzZ/H06VMsWLAAjRo1gr29vd5z/fz88OOPP6JAgQIoV64cxo0bh5s3b0Li9yeUwjH4TWRJyszvp09FoFvp7l1AWWqmeHHjx2PZ8+QXFqad0W/sv52TE+DtLe/buVP3sXv2yNs1a4oy0KZUoYK8zX2/rZsy67tUKcMX34waBbi6yvu+/z7hIPTLl8Bvv8n7KlUSQUpD9ewpbz9+DBw5Yvj5ZJ3evQP69BHvvz/8ACxbBqxcCfz+u1hoVKkScPKkpWdJRERERERElGxcXFzw77//QqVSxfZFRkaibdu2eP36tQVnRuaQM2dOfPvtt9i7dy9evnyJlStXom3btkinmXylw5UrV/Dzzz+jZMmSKFq0KEaOHInz588zEE4pEoPfRJakzKCVJODBA+3jlCXPvbyAjBmNH4+Z38lPV0mYQoWMv06TJvL29u2iLLQmtRrYtUve17ix8WMlxBzB76AgYPhwoG5doE0bYMMGZmCmBGq1yNbWZEjWd4xMmURQUdPly8CKFfrP+/57ICRE3jdrVsKl1jWVLy8C9ZqWLTP8fLI+t28DFSsCixfH//py8SJQuzYwYQIrBRAREREREVGaUbNmTfz000+yvkePHqFdu3aIUH4HSVYjc+bM8PHxwaZNm/Dq1Sts2rQJPj4+yJhA7OHevXv4448/ULlyZeTJkwfDhg3D8ePHuVc8pRgMfhNZUsaM2gHpO3e0j1MGvxNT8hzQHis0VNzIfJSLGXLkECWZjdWmjbwdEgIcPCjvO3cOePVK3tesmfFjJaRiRXn72jWxn3NiHTsmSsFPnSpKYm/dCnToIMpWR0UlZaaUVFeuAC9eyPvatTPuGn36AMWKyftGjQI+fdJ9/N69wKpV8r6uXYFq1YwbV6XSzv7etImveWnVo0fA//6ne0GSkiQBY8YA7dsDX76Yf25EREREREREKcBvv/2GKlWqyPqOHTuGQYMGMbs3DciQIQPatm2LlStX4tWrV9izZw969+4NV2VVR4XAwEDMmjULderUgYeHB/r27YsDBw4gMinfFxMlEYPfRJZWtKi8ffu29jFJ3TM6hjL4DTD729z8/eXtAgUSdx1PT6BqVXnfypXy9tq18naxYokfT5/y5eXt8HDt56ihbt4EmjYFPnzQfmzNGuDXXxN3XTKNvXvl7YIFxc0YdnbAtGnyvuBg4OeftY8NCQH69ZP3Zc4MTJli3JgxfHzkZf/DwrQz2cn6vXwJNGwIPHsm78+QAejRQ+xNr+u1cvNmoHVr8bwhIiIiIiIisnIODg7YsmULcim2zly0aBHmzJljoVmRJTg4OKBx48ZYtGgRnj9/jqNHj2LIkCHw9PTUe96rV6+waNEiNGzYEB4eHujduzf27dvHQDglOwa/iSxNmRGpK/htqszvDBlEGWJNDH6blzLz29jAoaZOneTtzZvF/rWAyJBW7s381VeJH0ufLFm0S/afPWv8dSIiRHDy8+f4j5k4UWQfk2Uog9/K8vuGatxYBB81TZ8ObNwY146KEnt6P34sP27KFFExITGyZwcaNZL3KReNkHVTq8XrjPK1uGJF8X67dCkwY4aoujJxonZp/X37gFatmAFOREREREREaYKHhwe2bdumtf/zsGHDsH//fgvNiizJ1tYWderUwaxZs/DkyROcO3cOvr6+KJTA1p5v3rzBP//8g8aNG8Pd3R3ffPMN9uzZwzL6lCwY/CayNGXwW1n2/N077TKtiQ1+A9rZ30+fJv5alDBTZX4DIoBjbx/XDg8HFi0S97dtE9mNmrp2TfxYCVGUQMKpU8ZfY9484OpVeV+2bPK2JAG//GL8tSnp3r8HTp+W9yV2D3mVSgS7HRzk/T4+wN9/i9e9du2AHTvkj9epA/TqlbgxNcfQdPAg8Px50q5JqcfMmdpbRJQqBRw4AOTOHddnZweMHCmC3cp9rQ4cEM9PfjgjIiIiIiKiNKBChQpYvny5rE+tVqNDhw64e/euhWZFKYFKpUKlSpUwadIk3L17F9evX8dvv/2GMmXK6D3v3bt3WLp0KZo2bQp3d3f06NEDu3btQnh4eDLNnNKaNBv8rlChgqWnQCToKnseHR3XvnRJ/riDQ9KC34qyNQx+m5ky+J2UzG9XV+29v6dNAz5+BCZNkvdXrgwUKZL4sRJSs6a8ffKkceeHhADjxsn7SpYEgoKA336T92/frl39gMzv0CH5a5GjI+DtnfjrlSihXf48IgL49luxCGjbNvljrq7Av/+KwHlStGwpql7EUKuBdeuSdk1KHa5dEwFtTblyiQB35sy6z6lfXwS7lY/v2gV06SIqFCRVRIR4rz9zRvzJ0l9ERERERESUwrRv3x6/KrYjDAkJQYsWLfAuphIlpWkqlQolS5bEzz//jCtXruDBgwf4888/UalSJb3nvX//HsuXL0fz5s3h7u6O7t27Y8eOHfjCqntkQmky+P3x40dcYRldSilKlZK3w8IAzRV0Fy7IHy9TRjt70hgeHvK2cg9UMp3ISCAgQN6X1D24f/xR3n75EnBxAS5elPd//33SxkmIMvj96JFxCykWLwbevpX3LVwIODmJubu6yh/755/EzZMSb88eebtOHSB9+qRdc+BA7T29dXFyEiXRvbySNh4gAt/KRSOrViX9upSyqdVA//7ybG2VClixQvt9UKlyZZEtrswA37RJ7BGuuSjEUNHR4jndrh2QNStQvDhQrZr4M0sWUaFAWQmDiIiIiIiIyILGjh2L9u3by/ru37+PDh06IMoUi8PJqhQoUADDhw/HuXPnEBAQgKlTp6KKsnqoQkhICFasWIGWLVsie/bs6Nq1K7Zt28ZAOCVZmgx+HzhwwNJTIIqTPbt2NrZmtrcy+J3AyqkEMfidfJ480Q6SJCXzGxD//gmVni5YUARYzKlECe394w0tfR4VBfz1l7yvdWugenVx39kZ6NNH/vi//7LkcHKSJO39vhNb8lyTSgXMmQMMHRr/MVmziizbOnWSPl4MZenz8+eB+/dNd31KeVas0C7bP3w4ULeuYedXqCAWgGhWDQDEwolu3cS2E4aQJGDLFrFwrX17EUD/9El+zKdPwOrVQLlywLBhhl+b0qbISLHg7OxZcQsOFos9iIiIiIiITMzGxgbLli1D+fLlZf0HDx7Ed999Z6FZUWqQJ08e/PDDDzhz5gweP36M6dOno1q1anrPCQ0NxapVq9C6dWu4ubmhS5cu2LJlC8LCwpJp1mRN7Cw9AX1u3bqFjRs3mvSaz549w4oVK0x6TaIkq1BBnjV78aLYr1mSAD8/+bEVKyZtLAa/k8+DB/J25swisJdUf/0FlC0LfP6s+/G5cwFb26SPo4+trQhWa2YHnzwJdOiQ8LmbN4uFAZqGD5e3v/lGXsr97Vvg8GHTBGApYTdvamfym+rv3tZW7MPcsCHw++/AuXPitS5DBqBzZ7HHu6enacaKUb++WGj08mVc36pVgKJ8F1mJ9++BESPkfQUKaG+pkJDq1YGdO4EmTQDNFcdr1oj3zjVrgBw5dJ8rSaK8+pgx2pU54iNJwKxZYtHbjh0iI5wIEAHv9etF9YADB7QXUGTJAjRrJt6DmzUDbNLk+mYiIiIiIjKD9OnTY9u2bahUqRKeP38e2z9nzhyUKFEC/Qyp8EdpmpeXF7777jt89913CAoKwqZNm7Bhwwac0pNI9fHjR6xZswZr1qxBhgwZ0KJFC3To0AFNmjSBk5NTMs6eUqsUHfx2c3PDlClT8Dm+AE8iSZIEVVL3ECUypfLlxb7GMWK+KPf31w5AVa2atLEY/E4+ptzvW1OhQqIMeNeu2pnlY8eKoGJyqFlTO/htiBkz5O0qVUT5X00FC4o+zcUfW7Yw+J1clCXP8+QBihY17RhNm4pbaKi4Zc8O2Jnp1xI7O6BjR2D27Li+lStFoJ2/D1ifX36RL3QAxKKhxHw48vYGtm4Ve8drVp84elRUwJg6VbwW29uL/rAwUblg6lSRlatP+vS6FzGdOiUCmAcOaGeeU9oSHS3e7ydM0F40pundO/GatnIlUKQIMHq0qHjBIDgREREREZmAp6cntm7dijp16iBco1rZwIEDkTNnTrRs2dKCs6PUxNPTE0OHDsXQoUPx9OlTbN68GRs2bMDJkychSZLOcz59+oS1a9di7dq1cHFxQatWrdChQwc0bNgQjo6OyfwTUGqRor8RcXNzw4ABA2Kf9JIkmeRGlOJUqCBvnz8vssyOHJH358iR9AAUg9/JR5n5ndT9vjV16gQcPy4CJO7uQK1awLp1IpM2uSj3/b56FfjwQf85Z86Im6bvvtMdgFTu07x1K0u7JhddJc/NFSR2cQFy5jRf4DtG167ytr+/yDon63Ltmiitr6llS7HQIrEaNRIL1Jyd5f1v34oqFTlyAPXqAbVri+oe7dvHH/guXVoEM1+8ENm7z5+L121lYN7PD2jbVmT8Utp05YpYBPbtt/oD30p37wLdu4vfC7iPPBERERERmUiVKlXwzz//yPrUajU6dOiA48ePW2hWlJrlypULgwcPxvHjx/H06VPMmTMHderU0Zu4GhoaipUrV6Jly5Zwd3dHjx49sGfPHkRwu0xSUEkpPBr85s0b5MuXDyqVCl27dkX27NkTfa2IiAjcunUL2//LsI1WZkxSihAUFITcuXMDAAIDA+Fp6vK3KdG7d0C2bKLkaYxDh4BFi4C1a+P6OnUSZVaT4v59oHBhed+HDyIARabVqpU8o3/0aGD8eMvNx9TCwsS+35rBmW3bRKApPh07itKtMXLnBh4+1B34fPBAZLlrunhRVEog8wkNFa9Hmv+uW7aIfdlTM0kSr32ai1IGD9bef55SL0kSe8WfOBHX5+gI3L4N5MuX9OtfviwWHCVm0VjhwiLI3b697mzcq1dFgD44WN7/44/AlCmJmy+lTmq12BrC11f/4gdHR3GsvmNsbIAhQ8TvHqwiQERmlCY/w1OqxucsEVHijRkzBhMmTJD1ZcyYEceOHUPZsmUtMymyKs+fP8eWLVuwYcMGHDt2DGoDkqGyZMmCtm3bomPHjqhbty7szJ1kQyZljt/NUvwzIFu2bBg8eDAiIiIwxURf/s2bNw+DBw82ybWITCJLFrGX9/nzcX07d4rSqZrq1En6WMrMb0B8kc/gt+mZM/M7JUiXTuyJe+xYXN+ePfEHv588ATZtkvcNHhx/xm/BgiL4ff9+XN/+/Qx+m9uRI/Jgip0d8L//WW4+pqJSiTLAmvs+r1sHTJ9u/qxzSh6rVskD34AIIJoi8A0A5cqJIPXgweK5Y4i8eYGffwa6ddP/PCtTRry+1a4tMspjTJ0qSq83a5aUmVNq8eoV0KMHsHu37serVxeZ4I0aia0iJAl4/Fgcv2iRdqZ3TCB92zbxuDW8lhMRERERkUWNGzcOz58/l2WBf/jwAY0bN8apU6dQwNq+/6RklyNHDvTv3x/9+/fHy5cvsXnzZqxbtw7Hjh2Lt7Lzu3fv8M8//+Cff/6Bq6srvvrqK3Ts2BG1a9eGra1tMv8ElBKk6LLnMX744QcEKzNhkqBz584muxaRyTRoIG/PmCEyMGOoVECLFkkfx9lZu3QrS5+bnlotMpo1mWrP75REWUp4zx55BQNNs2fL9yjPkAHo00f/9ZX7l+/fb/wcyTjKkuc1a1rP4hgfH3n75Uvg4EHLzIVMKyQEGD5c3pcvH/DTT6Ydx81NVGTZuROoUUP3MTY24rE1a8TinZ49DVtgUaKECGI6OMj7v/5alEcn63b4sFgEoSvwXaSI2AP+5ElR0tzdXfxeaGMjnucDB4rKBNu3615o9+gRUL8+0Ls38P692X8UIiIiIiKyXiqVCgsWLEBrRYXAFy9eoGHDhnjG75nJhLJnz45+/frhyJEjCA4OxuzZs1FTuRWnwuvXr7Fw4ULUq1cPuXLlwqBBg3D8+HGDMsjJeqSK4HfWrFlRrFgxvDfRlzVZsmRBeWYOUkqT0H6ktWsDuXKZZizu+21+wcFi33ZN1rjysUkTefvxY7HnrtL798Dff8v7vvkGyJxZ//WVwe9Tp7T/Xsl0JEksYNDUuLFl5mIOhQoBlSrJ+1autMxcyLR+/VU7QDxzpqhQYQ7NmolA5OPHIgt82jSxaG3LFpG9e/Kk2KrE2KoCVaqIbG9Nb94AQ4eabu6UskREiEUa9etr/z6mUonqBVevisf17HsWu0jyxg1R4cLRUfuYf/4BihcHli+XL0YjMpeQEMDPTzznpk8X2z/88QcwZ45YRHT3rlgwSkRERESpip2dHdasWYM6iiqlDx8+RJMmTUwWxyHSlCNHDgwaNAgnTpxAUFAQZsyYgWrVquk958WLF5g7dy7q1KmD3LlzY+jQoTh9+jQD4WlAit/zO0Z0dDRUKhVsdO2TSFYlze69JElAqVLAzZu6H1+4EOjb1zRjeXvLS1VPnw58951prk3CsWPi7zlGunTAp0/6v7hOjSRJZJ09fhzXN3IkMHGi/LgJE4AxY+LaKhVw717C2fAhIWJbAM23qpMn48+4pKS5excoWlTed/UqULq0ZeZjDrNmAcOGxbUzZABevOB+uKnZ9euiJLlmMK9ZMxFYSY0kCWjbFti6Vd6/YwfQvLlFpkRmcuWKyMa+eFH7MXd3YMUK7cpAhrp3T1xbuRVAjBIlxO9+XbqYb5EIpT2PH4sqBocPi9+FAwMTPidLFrHIt21boFUrIFMm88+TTC7NfoanVIvPWSIi0wgJCYG3tzeuXLki669Vqxb27duHdPysQcng8ePH2LBhA9avX4/zmtvK6uHl5YWOHTuic+fOKFu2LFTW9p19KmOO381STSTZ1taWgW+ybiqV2EdUl3z5RJlLU2Hmt/np2u/bGt9EVSqgQwd539q18iyeT59EBqam9u0NKwOfKRNQsqS879SpRE2VDKDM+s6ZUyzKsSYdO4pSwTE+fRL74VLqFB0N9O8vD3w7OopFDqmVSgUsWCACQpr695dvh0KpV2AgMGAAUKGC7sB3w4Zi4VFiA98AULgwcPQoMG+e9nY3gFhs2bs34OoKtG4NTJ4sFlj4+YkS6ufOiffbw4dFKfbNm4H168X7xPnzfC6S8PixWKTRu7f4XTdvXlHZZ+VKwwLfAPDunXgf/vprsZd9mzaizH/qWKNPRERElKZlypQJe/fu1drn+8SJE+jUqROioqIsNDNKS/LkyYMff/wR586dg7+/PyZNmoRy5crpPefJkyeYMmUKypcvj2LFiuHXX3/FnTt3kmnGlByMrMVIRGbVq5f4YvHw4bg+e3vxxaWTk+nGYfDb/Pz95W1r3O87RqdOwJQpce1Hj8S+0TGl/BctAl6/lp8zcqTh169RQ2R2xmDw23yU+303bmx9izZy5BABpX374vpWrRLZj5T6TJ2q/Zrw00+pf5sJd3dRlaVnz7i+oCBg9Gjgr78sNy+Ko1aLhW4vXogqJY6OQMaM4pY5s1i8EPO7m1oNBAQAZ8+KIPLWrYCuL4EcHIBJk0R1ClMs+rWxEYsmmjUTf+raT/zzZxF4TMwioMKFxXt9+/ZAtWrW935hzUJDxRY9b9+KW3S0+MwRc7Ozi7vZ2gLh4WILhlevRFWBW7fEIgnNyj+mEBEh/n9s3Sr2uh80SCwAzpjRtOMQERERkcm4u7tj//79qFGjBp5rbEe2fft29OnTB0uWLGFWLSWb/Pnzw9fXF76+vrh37x42bNiAdevW4brmd8sKd+/exW+//YbffvsNZcuWRefOndGxY0fkyZMnGWdOppbiyp77+fkhLCwMdevW5YuiHq9fv8asWbOwZcsWBAQEwMHBAUWKFEHnzp3Rr18/ODg4mGSc3bt3Y8GCBbh48SLevHkDDw8PeHt7Y/DgwWbbNz3Nl5/6/Fl8cb99u/jSZ+xYoFYt044xZQowYkRc+3//Aw4eNO0YaV2HDsCGDXHtH37Q3sfVWkgSULasfK/vunWBQ4fEF6WFC4usnhhNmwK7dhl+/ZUrgW7d4tqursDLl/yS3dTCwoCsWeV7qq9fL4Ia1mbFCnk1DVtbsQjIzc1ycyLjXbkCVK4MREbG9eXPL/Y8tobSapIkFmocOhTXp1KJjNyKFS03r7QsIkIEr//9Vyy6+PBB//FOTiKg/elTwntsFysGrF4t3k/NQZLEAqeffpIvKDOVihXF4oxWrfj+nBK9fCkWP+zdK15DHj1KvrHt7IBChUQ1GRcX8Zr95g3w8KGYV0JcXERW+KBB4rMRpUhp/jM8pTp8zhIRmd61a9dQu3ZthISEyPqHDx+OP//800KzIhJu376N9evXY926dbh9+7ZB51SvXh2dOnVChw4d4O7ubuYZpm3m+N0sRQW/hw4dijlz5gAAWrRoga3KvQ4JAHDu3Dm0bt0az549Q4MGDdCqVSuEhYVh+fLluHHjBsqVK4edO3ciZ86ciR5DrVajX79+WLRoEbJmzYq+ffsiX758uHDhApYvXw61Wo1p06ZhyJAhJvzJBH4ISQbKYGLx4vHvNU6JU6ECcOlSXHv+fKBfP8vNx9z++UeUvNS0erUogb59u7zf2D27Hz0SAS1Nd+7wC1BT27MnLlsfEBmDr19rl162BqGhIrM2LCyub/Jk+aIgStmePxeZpgEBcX0qFXD8OFCzpsWmZXIPHoitBzQXpVSoIDKIbW0tN6+0RpLEohlfX9NXy3FyAkaNAoYPN22Vn/io1eL1/q+/zFNa+n//E7/zFCpk2uuS8SQJOHIEmDNHlLRPrpKTrq5iEWS9euL3vSJFxCIQXZ48EXPctElUZImI0H/thg1FELxxY5GhTikGP8NTasPnLBGReZw4cQINGzbEF83PsAD+/PNPDB8+3EKzIoojSRKuX7+ONWvWYO3atQjQ/F4pHjY2Nqhbty46d+6Mtm3bIos1fldqYVYf/M6YMSM+fvwIAMicOTPevn1r1PmrV6+Gs7MzWrZsaY7ppQhPnjxBxYoV8erVKwwbNgwzZsyIfSw8PBxNmjTBkSNHUKFCBZw6dQqOjo6JGsfX1xeTJ0+Gq6sr/Pz8UFCjZPPevXvRrFkzSJKEdevWob2JswL5ISQZHDoE1K8f186SRZQ8JNOQJPF3qrnScf/+pO3dmdKFhYnS7sHB+o/r2FEExI0hSUCuXPKAwz//iD0lyXQGDhRbLMSoXt26S8z7+IgFGjE8PMRCi0S+b5IRJAk4fVoE3mI+ZBQsKLK4a9QAMmTQf/7Hj4C3t/Zeyb6+omS0tZk0SQRHNc2eLQJAZH5PnwJdu4r9s03JyUksGhs+HPDyMu21DfXqlcgG9vMT1VuePAHevxclrh0cRHDR0VHM1dFRLLj48EGUeteXye7oKILrffowC9xSTp4U1aNM/bzVJWtWoHZtoE4dEfAuWTJxZftDQsT78pw5oqy6Pq6uQLt2QNu24n0jffrEzZ1Mhp/hKbXhc5aIyHx27NiBNm3aIFrxmWHBggX49ttvLTQrIm2SJOHs2bNYu3Yt1q1bJyvbHx97e3s0btwYnTt3RosWLeDs7JwMM7V+Vh/8zp8/Px7/t2/Y4MGDMXPmTKPOv3v3Ljp27IhSpUph7ty5yGiFe4N17NgR69evh5eXF+7du6cV3Pb390eRIkUQHR2NqVOn4ocffjB6jJs3b6J06dJQq9WYP38++unIVu3RoweWL18Od3d3+Pv7I0NCX1QbgR9CksGtW0CJEvK+sLDkyThKC16/1i6f/PAhkC+fZeaTXNauBTp3jv/xbNmAq1dFINtY7dqJrKAYvXoBixcbfx3STZKAvHlF4CPGxInG7c2e2pw7B1SpIu9btEi7ggGZ1okTwNChYq9YXdKlExUI2rUT+xS7uMgfDwgQjykD35Uri2ubaNuXFCUiQpTC1izLlTGjqIDh4WGxaaUJZ88CrVuLSgPxyZgRyJRJ/Dt9+CCvKKGULZt43WnTRtyyZTP5lJPFly+idPquXSIj/uFD3cf5+IjXVWvYhiC1ePZMLGbbssWw4zNkEAs27e1FOfKoKPFndLS4H3OzsxPP12zZAE9P8TmieHFR7r54cdPsUR8jJmN99mxRPUit1n+8gwNQtaqYS8mSYm6FClln5ZoUjJ/hKbXhc5aIyLyWL1+OHj16aPUvWbIEPXv2TP4JESUgOjoax44dw9q1a7Fx40a809zCMx7p06dHixYt0KlTJzRp0iTRiaiUBoLfEyZMwNixY6FSqXDjxg0UK1bM6Gt8+fIFPj4+uHLlCjZv3owyZcqYYaaWcf/+fRQpUgSSJGHMmDEYN26czuMaNGiAgwcPws3NDcHBwbCzszNqnK5du2LVqlVIly4dXrx4ARflF88ATp06hZr/lRWdOXMmhg4davwPFA9+CEkG796JLA1Njx6J4Bcl3dmz4ku4GHZ24stwI/8vpjqSJPZRXrlS+zF7e7HPZL16ibv2jBnA99/HtVmq37SuXQOU75fXr4svka1ZvXriC/YYhQuLxUGGlpN++RJYtkxUdggKEkGwatVEtqO1/90ZS5KAP/8UCyoM/dXT0VGUtm3aVATPzpwBli7VDi7myycyV615/6Vjx0S2u6ZOnYA1aywynTRh714R+A4P136sVi3x//x//xP7GGuKjBTZ0+/eiVtkJODsLJ6fOXJYXyZ0VBSwfr2ovBAYqP14tWrAtm3aiwLJtCQJWL4c+O478fzTJV06oEkToFEjsWCoSJGUvzDh8WNRlWbxYuOrVGXJIqqKFCggbpr3PTys7/+ihfEzPKU2fM4SEZnftGnT8OOPP8r6VCoVVq5ciS5dulhoVkQJi4iIwIEDB7BmzRps3boVnz59SvCcTJkyoW3btujUqRPq1atndEwurTPL72ZSChIRESHVqFFDsrGxkfbu3Zvo60RFRUn16tWTXFxcpBMnTphwhpY1ceJECYAEQDp69Gi8x02ePDn2uAMHDhg1xpcvX6SMGTNKACRvb+94j4uOjpacnZ0lAFKNGjWMGiMhgYGBsfMPDAw06bXpP2q1JDk6SpL4qkzcTp+29Kysx8qV8r/bggUtPaPkExkpSYMHS5KNTdzPnzevJB0/nrTrnj4t/zu1sZGkjx9NM2eSpAkT5H+/efKI1wlrt3ev/OcGJGnx4oTPi4wUf2fp0mmfH/P8HD5cHEfCmDG6/66SesuWTZLu3LH0T5c8vv5a++fft8/Ss7JOe/Zo/54ESJKXlyTt2GHp2aVMoaGSNGiQ7v+nBQpI0t27lp6h9QoIkKRGjeJ/nfT0lKQ5cyTp/XtLzzTxPn+WpH/+kaTKlU3z3pE+vSSVLi2eszt38ndKE+BneEpt+JwlIkoev/zyS+zrbczN1tZW2rhxo6WnRmSQT58+SevXr5fatm0rOTo6aj2fdd2yZ88uDRw4UDpx4oQUHR1t6R8hVTDH72YmrE+WdPb29tizZw9q1aqFbt264cqVK4m6jq2tLdq0aYOPHz+iXbt2+PDhg2knaiGHDx+OvV+2bNl4jytXrpzOcwxx4cKF2L8vfWPY2NigdOnSAAA/Pz+E6SvxSCmPSqVdKlVzP2VKGn9/ebtgQcvMwxLs7MQ+n4GBwJ49ogzxvXsiSy4pypSRl9RUq0UJdTKNnTvl7RYt0kZGVMOGopy0plGjxNYF8fH3F/uajh4df3ljtRqYMgXo0EFkfaZ1ixYB48dr9xcsKPatHjhQVMswNOM+Rv78Yl/6IkVMM8+UbsoU7TK+vXvHn+VJiXPmjO6M7//9T5Trb97cItNK8ZydRZnqTZtEFQxN/v5A9eri75ZMR60G5s8XlUb27dN+3NVV/E52/754nc2UKfnnaCrp0gHffCOqK/n7i61ZKldOfLn1z59F1Zs5c8T/6WzZRDWNffv072dPREREREb55Zdf4OvrK+uLjo5Gp06dsGPHDgvNishw6dOnR/v27bFp0ya8ePECy5YtQ+PGjWGr5zusly9fYu7cuahVqxby5s2L4cOH49KlS5BSThHuNCFFBb8BwMXFBQcPHkSHDh1Qs2ZNLFu2zKjznz59ilmzZuGXX34BALx69QqbN282w0yT340bNwCIv6NMer68iCkPAIj9uxMzhvI6+sZRq9W4c+eOwWMEBQXpvT1jEDZ5MPhtPg8eyNsFClhmHpaUM6coV1yzpih5nlTp0wPKrTCUe/5S4rx8qR2QSCvBHZUKmDxZ3vfypShnrNxjVJJE2dUyZYDTpw27/pYtwJAhpplranXlighwK02YIPasnj1bBB/8/IAXL8TfcePG+reJsLUFvv1WBCLTSuAbEGWjlc/XwEA+x0zpyRPdge9u3UQZdOWWMaStbVuxKMXLS97/5o3YamLXLsvMy9rcvQvUrQsMGAB8/Kj9eJcuwO3bwODBgJNT8s/PnPLnF1tonD0rthbYuRMYMwZo00YsqkpMQDw8HFi3Trz/5M0LTJsGWMkCeiIiIiJLUqlUmDhxIoYNGybrj4qKQrt27bBP1yJOohQqU6ZM+Prrr7Fnzx48e/YM8+bNQ+3atfWeExgYiKlTp6JChQooWrQofvnlF9y+fTuZZpy2pbjgNwDY2dlhzpw5WLlyJYYPH47WrVvj6dOnOo99+vQpVq1ahb59+6Jw4cLw8vLC999/L9uQ/q2x+4OlQOHh4Xj+/DkAwD2BPS01Hw8ICDBqHM3jzTVO7ty59d4qV65s1JwpkRj8Np+0nPltThUqyNuXLllmHpYmScCOHWJ/9YYNgf79gePHE3+9DRvkezBnyKC9t7A1a9gQaNVK3rd1q/h7jYgQ7du3RdZnnz6Acp8fGxvxb7Fqldjz1sFB/viCBeIL9bQoKgro0SPu7zHGwoUiw165SjZbNqBXL1E1ImY/9a++Etn5JUuKfWrHjRNZjAsWaGeXpgW9eokAoqYVK8Tzj5Lm40egZUuxCENT165ir3nu12W4kiXFoqry5eX9YWHi9XbpUsvMyxqEhwO//w6ULq37vT9nTmD7dvGa4Oqa/PNLbhkzAs2aifeGzZvF+0NYmKg6tGePWFz13Xeiok3x4oYtBAgKAn78USzgGDkS+O8zOBEREREljkqlwvTp09G/f39Zf0REBFq3bo0jR45YaGZEiefm5ob+/fvj2LFjCAwMxLRp01CxYkW959y7dw+///47ihcvjrJly2Ly5MlGx+/IcCn6W5zWrVujevXqGDhwIIoXL46ff/4ZderUwfXr13Hq1CkcPXoUjx49ij1es2yASqWCJEmwsbFB3bp1LTF9kwoNDY2975TAh/Z06dLpPC8ljUMpAIPf5sPMb/MoXx7499+4dlrM/P74EejYEdi9O67vwAERCOzYUWTNOjsbd83Vq+XtVq0AR8ekzzU1mT8fOHlSZCbG+PtvkaGYI4dYaKGrNFGBAiLwWK1aXF/jxuL25Utc34ABInieFgIRmubM0d6e4LvvgL59Ez43Sxbg66/FjeLY2IjAYalS8qzE3r1FFnwCH7QoHmq1yO5WPl8bNhR/38aW5Cfxe+axY0C7dvKS3NHRonz18+diwVBa2GLDFNRqYO1a4OeftRdZxujdW2yPkDlzsk4txXFwAAoVEjcltVp85nnwQFRx2btX/BkVpX1sSAjwxx/AjBni73bECO2KBkRERERkEJVKhTlz5iA8PBxLliyJ7f/y5QuaN2+Offv2oWbNmhacIVHieXp64vvvv8f333+PBw8eYO3atVizZg1u3boV7zlXr17F1atX4evri2rVqsHHxwft27dH9uzZk3Hm1i1FZn7HuHPnDvbv34+cOXPCxsYGI0aMQJUqVdC7d28sXboUDx8+hCRJsUFvlcaXJ5IkoUSJEli/fr1sD+zUSnNPbQdlVpmC5uOfP39OceMEBgbqvZ07d86oOVMiMfhtHqGhImNREzO/TUOZ+X3rVvx7LlujyEhRjlwz8K1p3TpRAjUkxPBrPnqkXcK7S5fEzzG18vAA1qzRzux8+lQsstAV+O7bV5T01gx8A2I/8EWL5H1v3+re89qaBQUBY8fK+0qWFIEEShovL2DuXHnfly+iXHd8QTHSb8wYUfFBU5Ei4nWVGd+J5+wsKpV066b92KhR4nVUWWKe5MLCxMK/smUBHx/d/8fz5hUL4RYtYuA7ITY2QK5c4r165EixQOP5c7EFh7JSQYzwcPGaW6CAqL5x/37yzpmIiIjIStjY2ODvv/+Gj4+PrP/z589o2rQpzp49a6GZEZlOwYIFMWbMGNy4cQPXrl3DyJEjkS9fPr3n+Pn5YdCgQciZMyeaNGmClStXMtnUBFJc8HvdunVo3bo1smTJghIlSuDrr7/GnDlz8OHDh9hAd3zB7hw5cqBjx46YN28e7t69i+vXr6NNmzaW+lFMSjPLOkJZPlRB8/H06dOnuHE8PT313jyUQVkyDwa/zUP5paRKBSTwBkcGKltWniEWHQ1cu2ax6SS7334TX9Lqc+GCyADXlcGky9q18na2bCLTMS1q0EBkwSeU9e7lJfYXXbgw/iz7rl1FtqOmefPSVmBy7FjtfWgXLNAuC0+J07WrKM2v6elToFYtsTCIDLdiBTBpkrwvSxYRtGUgMens7cUWBsOHaz+2eDFQu3baem1MSGSk+N1m2TKxGM3DQ1TAuH5d+1hbW1Ge+8YNoH79ZJ+q1ciWDRg0SCx2O31a7B2uqyJBVBSwZAlQtCjQubM4VtfiOCIiIiKKl62tLZYtW4Z2iu9MQkND0ahRI1xKq1scktVRqVQoVaoUJk6cCH9/f5w5cwZDhw7VG/uKjo7G3r170a1bN7i7u6Nz587YsWNHgnE60i1FpTL07NkT//5X0lZZwlxJkiSoVCrUrFkT3bt3R506dVBIV2kzK+Hi4hJ7/4tmKVUdNLO3Nc9LSeNQCsDgt3kov8D19DRsf0FKmLOzyMS7cyeu7+JFoEoVy80pudy5o50xmyUL0KmTCGC/exfXv28fMGyYKDmtjyRp7xPcvr0IVKRV7dsD+fMDgwcDfn7yxzJlEuXLR48W+6InZMoUse9qzC+okZEi0zEt7P999658iwJAZMvVqGGZ+VirWbNEoFtzUcyzZ0ClSuL1YsCA+Mt1v3sH3Lwpjv/4EUiXTmSPFi+etvZSP31alDPWZGcHbNqku2QyJY6NDfDnn+J3z++/lz927hxQpox4zvbrZ72Z9l++iN8R794FgoPF/0HN24sXIgM5ODjufUOfqlXFoiorqHCWolSrJvYOv3tXvI//+694/9YUU4J+7Vrxmtmzp9hTvHBhlvEnIiIiMoCdnR1Wr16NiIgIbN++PbY/JCQEDRs2xJEjR1CqVCkLzpDItFQqFapUqYIqVapg2rRpOH78ONauXYuNGzfi7du3Os8JCwvD2rVrsXbtWmTNmhXt27eHj48PatSoARubFJfTnCKlqG8XNmzYEBvUjtmzGxCBbnt7e5QrVw7Vq1dHjRo1kCdPHgwaNAhXrlxBv379rDrwDQCOjo7IkSMHnj9/jhcvXug9VvPxvHnzGjWO5vHmHIdSAGXw++VLkdFgrV86Jhfu921eFSrIg99pZUXoyJEi0z2GnZ3Yp7JyZWDoUJHt+epV3ONz54pFAbpKzcY4eVIEvzSlxZLnShUqAKdOiUy6c+dEEKJAAaBmTcCYaip584og+rRpcX3r1wO//goUK2bqWacsv/4qggMxMmQAJk602HSslr29CNLWry9K8Mf4/BkYMkQEbv73P7H1hkolMsMfPBDP7eDg+K/ZpIkI5rRqZd2BnPv3gZYttQONc+aILSTI9L77TiwK7NFDPE9jfPokXi9nzxaLhNq3N+71NiWKigIOHxaVQo4eFe+3mq+LiVWyJDBhggi2WvP/T0srUkRUJvjlF2DqVODvv8UCBqVbt0RVg+HDxe8KNWoApUqJoHj27EDWrGJxUXR03C0iQtzCw8Ut5r5KBbi4aN8SqkhDRERElArZ29tj/fr1aN26Nfbu3Rvb/+bNG9SvXx/Hjh1D0aJFLThDIvOwtbVF3bp1UbduXcyePRv79+/H6tWrsW3btni3Fn779i0WLlyIhQsXInfu3OjcuTN8fHxQqlQpnYnDJKSoKJebmxuePHkCSZLg6OiI2rVrw9vbGzVq1EDlypXhpMiePHXqFMaOHYvu3bvjyJEjmD17ttYx1qRkyZJ4/vw5QkNDERISgkyZMuk8LigoKPZ+iRIljB4jRmBgoN5jY8axsbHhm1FqpAx+S5IIgOfMaZn5WAtl5jeD36ZVoYI8W/niRcvNJbncuqW9F+3w4SLwDYgvaLduBerVk++d2q+f+PsqXlz3dWfNkrdjvrQl8QV0qVLilhSjRgH//AO8fx/XN3269p7g1uT6de1y+kOHiiAAmV62bMCRIyJgfeaM/LHAQFE62RiRkaJiwfbtYsHHX39ZZ2bpq1dA06bAmzfy/qFDgW+/tcyc0or27UXZ6DZttH9nundPBMYHDwa8vUUWbr58ovy8jY14bdYMGsbcbGxEkDFnTrG4yJLl6u/fB+bPB9asEZncptKwoXhfb9VK/LyUPHLnFr8vjRoFzJghFhcqt/SI4e9v+hL+bm7i8xkRERGRFXJ0dMTmzZvRvHlzHD58OLb/5cuXqFevHo4cOYIiRYpYcIZE5uXg4IDmzZujefPm+PjxI7Zt24bVq1dj3759iNZMgtIQGBiIP//8E3/++SdKlCgBHx8fdO7cmcmpOqSoT85V/itd27t3b7x48QL79u3DyJEjUbt2bZ1BbVtbW0ycOBGHDh3Cvn37UKlSJdzRzAi0MvXq1Yu9f0Uzw0dBc28MzXMMUbFixdgS5vrGUKvVuHr1KgCgWrVqsr3CKZVwc9MuhxpfJpi1efVKlDGcPh04f960175/X9628qoUya58eXn7xg3dmTjWZOZMeTtLFuCnn+R91auLDCVNnz+LIMOnT9rXvHFDlPXUNGgQv1A3taxZRelpTStWiPK21kpZnj9TJrEnLZlP5szAwYOmD9qePCkW2SxYYF372n7+LDK+lZVamjQRGZ5kfqVKAZcvx/+cDQ0Ve66PGiX2Vm7SBGjUSASAmzcHvvpKVCrp2VMEhPv2Bdq1E++FWbKIgHmvXqIyguaiMHN69Aj45hsRfJ8xI+mB77x5xQKB+fPFQpZ9+0Sb79OW4e4u3t+ePBF/FiyYPONyazEiIiKycunSpcP27dtRq1YtWf+zZ89Qt25d3Lt3z0IzI0pezs7O8PHxwa5du/Ds2TPMnTsX1atX13vOzZs3MWrUKOTLlw81atTAvHnz8EqzMmgal6I+PTdu3BgAMGHCBGQ0Yr/BOnXq4Nq1ayhSpAgqVaoUu2+4tWnXrl1sGYNDhw7Fe9zBgwcBAK6urvD29jZqDEdHR7Rs2RIAcPbsWXyMZ2X7mTNnYh9r3769UWNQCmFjI77I0ZQW9v2+dg0oUQL4+mvghx/EF/tjx5rui30Gv81LmYEYFSUCudbqwwdg5Up5X//+IqCo1LWrCABounVLBBc0n9+SBPj6yvsyZhRBBDK9QYMAB4e4dni4yByzRgEB2nuaf/edCEaReWXIIILUR46Iig+GsLcX71EVKohAjq5tT6KixGtO//7yrRdSq48fgWbNtLPky5UTz11u/ZJ8XFzEc/bwYaBiRdNeOyAAWLJEBMRz5BABcnNtkxIYKN5nCxcGli5N+P9JzpyiqkLLluJ30WHDgN9+E0HuzZvFPvRv34pg+ubNYu6enuaZOxkvZgHi3bvAoUNA797mrZrF4DdZ2OvXrzF27FiULFkSzs7OyJo1K6pVq4a//voLEcptQ4x09OjR2C0PE7pN5eI0IiKrliFDBuzatQtVq1aV9T979gze3t4MgFOa4+bmhgEDBuDUqVN4+PAhJkyYgOLxVfb8z+nTpzFw4EB4eHigWbNmWLVqVbyxvTRDSkHevHkjOTg4SI8fP070NRYsWCClS5dO6tWrlxQeHm7C2aUMHTp0kABIefPm1fnz+fv7S7a2thIAacqUKVqPX79+XSpUqJCUK1cu6dixYzrHuH79umRjYyMBkBYuXKjzmJ49e0oAJHd3d+njx49J+6EUAgMDJQASACkwMNCk1yaFChUkSYTAxC2ef2+r8eqVJOXIIf+ZY27z5iX9+p8+aV/36tWkX5fkCheW/x0vWGDpGZnPP//If1ZbW0l6+jT+4z9/lqQyZbSfh76+kqRWi2P+/Vf78V9/TZYfJ83q2VP+9+3qKklfvlh6VqY3eLD850yfXpLevLH0rNIetVq898yaJUk+PpLUsqUkNW0qnoe//SZJ69ZJ0s2bkhQRIT/v/XtJWrJEkvLl0/0+2bWrJEVFWeZnMoVnzySpalXtn8vLS//rKpmfWi1JW7ZIUuPGkqRS6X7+meJWr54k7dkT936YFMHBkjRokCQ5OOgfs2JFSZowQZJOnpSkDx+SPi6lPGq1JF26JEl//SVJffpIUpUqkuTuLkn29vE/L1QqSXJykqRMmSQpe3ZJ8vSUpJw5JcnFRf5/oGZNS/90BuNneOtz9uxZycPDQwIgNWjQQJozZ440ZcoUqWTJkhIAqVy5ctLTJLx/HjlyJPY5k9BN13dbScXnLBFRyvPu3TupUqVKWu8DOXPmlO7evWvp6RFZlFqtlq5evSqNGDFCyp07t0G/Q6VPn17q3LmztGPHDilC+R1QCmOO381UkpSy6hi2bdsWHTt2RMeOHRN9jdOnT6NJkyYoU6YMdu3aFVvG2xo8efIEFStWxKtXr/DDDz/IVsCGh4ejWbNmOHToECpUqICTJ09qlYvv3Lkz1v63F2e1atVw+vRpneP4+vpi8uTJcHNzw5kzZ5A/f/7Yx/bv348mTZpArVZj/fr1Js/8DgoKQu7cuQGIPQw8me1gPi1aADt3xrV//RX45RfTXd/PDxgxQmTF5M8PTJtm2b1Dhw+Pv6RpxozAnTvae6Eb4/p1oHRped+nT0D69Im/Jmnr3Fm+p3CfPsDff1tuPuZUpw5w/Hhcu0ULsRevPvfvi0zO0FB5f8eOohzrpEnyMrDZs4t9VnVlk5Np3LwJlCwp71u7VvybWIvXrwEvLyAsLK5v6FDtsv2U8n35Avz8MzBlivZjPj5i25DkLL388qV4fw0OFs+vTJnEe3Xp0obv7XzgANC9u3Yp6ixZgBMnREUYShmCg0UFg5MnxfvZkyfiORkdDajVomKBkxPg6Bh3i4wU+7c/eSKqFSSkVCmxHUPHjuJ8Yzx9Kn6fnT8//m1X0qcXW1706iX2N6e0SZJEtYnISPGaaWsrbg4O4s//KrppUavF9gwfPoj7qeSzMD/DWxfN752GDRuGGTNmxD4WHh6OJk2a4MiRI6hQoQJOnToFR2NfSyEyv+vWrYvly5ejcuXKeo/Nnj07smbNavQY+vA5S0RkGpIk4eLFi1i/fj0ePXqE0NDQ2FtYWBjc3Nzg6ekpu+XOnRslS5bUGbN5//49GjZsiPOKbSpz5syJI0eOoHDhwsn1oxGlWGq1GqdOncKqVauwYcMGvH37NsFzsmXLhvbt28PHxwfVq1eHTQrbUsssv5uZJIRuQgcOHJDmzJmT5OtMnTpVUqlUUsOGDU0wq5TlzJkzsStwGzVqJM2dO1eaOnWqVKpUKQmAVLZs2XhX4MZkjgOQqlatGu8Y0dHRUu/evSUAUrZs2aRRo0ZJf//9t/Ttt99KDg4Okp2dnTRz5kyz/HxcgZuM+vSRZyF8+63pru3nJ7L+NK+fObMk3bhhujGM8eqVJKVLpz87Z8SIpI2xaZP8erlymWbuJDdlinZWlTV68UI7A27jRsPO3bFDkmxsDMuEW7/evD8HCXXqaGcgWpNff9WuUhAQYOlZUVKsWydJjo7arxnDh5t/7JAQ8VqvrFCjvOXPL0nt24tjjx2TpNDQuGt8+iRJ27dLUpMmus91dZWkK1fM/7NQ8gkPF/+mM2ZIkrd3wu9/bm6SNHKkJD18qP+6arUkXb4sSb166c/mdXKSpO++k6Tnz5PjpyVKUfgZ3rrEfG/k5eUlfdFRrejBgwexFQenTp2aqDFiMr+PHDmSxNkmDp+zRERJExUVJc2ePTu2IoixN5VKJRUvXlzq3r279Ndff0mnT5+WPn/+LEmS/gzwe/fuWfgnJ0pZwsPDpe3bt0udOnWS0qVLZ9D/Py8vL+mnn36Srl27ZunpxzLH72YpLvhtKgMHDpRUKpVkY2MjHT9+3NLTMblXr15Jo0ePlooXLy5lyJBBypw5s1S5cmVp5syZesu9X716VSpYsKDesueadu3aJTVv3lzKkSOH5OjoKOXJk0fq3r27dPHiRVP+ODL8EJKMfv5Z/qVdy5amuW5EhCQVKKD7i8Hy5U1TbtJYc+ZoB2Zq1pT3ZckiSUkp4z95svx6deqYbPqk4dAh+d+zg4N2+V5rsHix/OfMkEGSwsKMOz+h8rH9+1vm/2NatGqV9t+/tXxo+/RJkrJlk/9sXbtaelZkCnv36g6Az55tnvHCwyVp4kSxWM6QxTu6bpkyaT8flbfcuUXpd7Jujx6JUv/u7gk/b8qVk6Tvv5ek5cslafduUR59yRJR2rxYMf3n2ttL0sCBLJ9PaRo/w1uPe/fuSSqVSgIgjRkzJt7j6tevLwGQ3NzcpMjISKPHYfCbiCj1io6Ollq2bJmooLe+m62trVSmTBlpyJAh0ooVK6SiRYsyAE5khNDQUGnFihVSkyZNYhcqJnQrWbKkNGnSJCnAwgks5vjdzM6YLPHUIiAgAIsWLYLqv1JiFy5cQK1atSw8K9NydXXF+PHjMX78eKPOK126NO7fv2/w8U2bNkXTpk2NnR6lFjlzytvPnpnmumvWAP7+uh+7dEmUH23Y0DRjGWrdOnm7XTvg99+BIkXi+t69AzZuBL7+OnFjKP9vFSqUuOuQfsrS+RERwK1bQJkylpmPuWzZIm83aSJKvRqqVy9RErhXLyAkRPvxvn2Bv/6Kv+wmmVbbtkC2bKI0b4xFi4A//7TcnExlyRL5zwWIbSYo9WvUCNi6VWy5oFlOesgQIFcuoE0b04116RLQsydw7VrSrqPr9U5To0bAypWAq2vSxqGUL29eUcJ/xAhgxQpRrvzuXd3HXr4sbsawsxPP2TFjxLYPRERWYOPGjZAkCQBQv379eI9r0KABDh48iFevXuHo0aN6jyUiIusyc+ZMbE9oS75EiI6OxtWrV3H16tV4jwkODoa3tzeOHj2KQvzelUjG2dkZXbt2RdeuXfHy5Uts2LABq1atgp+fX7zn3LhxAyNHjsTIkSNRo0YN+Pj4oH379nC1gu9MUlZhdxPZtm0bIiMjY9sZMmSw4GyIUjDl/tamCn5Pn67/8eTeAzY4WOzpqalLF6BwYaBxY3m/MkhuDAa/k0eWLOILbU2XLllkKmYTGgocPCjvS0yQ6auvxMIAX1+gfHmgYEFxnd27gYULxRf3lDycnLQX1ixdKt9/PTWKjASmTpX3NWki9mMm69C4sViooUmSxPvo6dOmGWPJEqBatfgD3xkyACVLAlWqiD2U7e2NH8PdXezTvHs3A99pjZMT0KePeD/ctg3w9k7a9Rwdgf79RSD9778Z+CYiq3L48OHY+2XLlo33uHIaC5I1z0mKiIgIhIWFmeRaRERkHk+ePMHIkSO1+vPmzYsffvgBU6ZMwYIFC2L3Ip4zZw58fX3RtWtXeHt7o2DBgrBL4ndRwcHBKFq0qFEJfkRpTfbs2TFw4ECcPn0a/v7+GD9+PIoVK6b3nFOnTmHAgAHw8PBA8+bNsXr1anz69CmZZmx6Vvmtd9WqVWFvb4/IyEh4eHjgq6++svSUiFImZfD7+XNArQZskrAu5s4dQLlCr0ULYMeOuPaBA8D79yIrNTkog4gZM4rMLwDo1g3Yu1c+t9evE/fF+IMH8nbBgsZfgwxTvjwQEBDXjskYtBZ798qDonZ2QGKrcOTMCUyaJG5kWX37yhcHvX4tsmo7drTYlJJs/Xrg8WN5308/WWYuZD49egBPngC//BLX9+UL0Ly5WFxWokTirhsRAXz3HTBvnu7H27QBBg4EatUCHBzk5928CVy8CJw/D5w7B1y/DkRHy8+3sQFq1hQLgb75BnB2Ttw8yTrY2AAtW4rbrVviebdmDfD2rWHne3mJ3xsHDQJy5DDvXImILOTGjRsAABcXF2TKlCne43Lnzh17/+bNm4ke7/Tp05gxYwbOnz+P58+fQ5IkZMqUCTVq1EDv3r3RunXr2KqORERkebt27UJERERsW6VSYd26dfjqq69gY+D3yWFhYbh27RouXLgQe7t16xbUarXB81Cr1ShcuDB69+6N4cOHo3Dhwkb/LERpRf78+TF69GiMGjUK165dw6pVq7BmzRoEBQXpPD4qKgq7du3Crl27kD59erRu3Ro+Pj5o0KAB7BOTjGAhKimmnpGVefToEW7fvo1q1aohS5Yslp4OGSEoKCj2g1RgYCA8PT0tPCMrFhQEaHxoBQC8fAm4uSX+muPGiRKTMXLkEAHx7NnFl9UxVq8GOndO/DjG+Ppr4N9/49qtW8eVlP74UcxNc4X5v/+KLzeN8fmzyEzTdO0aUKpUoqZMCZgwQZQZjVG9OnDqlOXmY2rduomyvDEaNgT27bPcfMh0vL2BY8fi2vXqAYcOmXfM6GiRqWvqTH9JEtsNXL8e11e1qsgG5peU1keSRPbsP//I+3PlEq+/efIYd73nz4H27YGTJ7UfK10aWLwYqFTJ8Ot9/gw8fCgCmRERYoGflxfg4mLcvChtiYoSz8EjR0TZc39/4MMH0Z89u3heV6sG1KkjXt+SskCUyIrxM7x1CA8Ph9N/2ywVLFhQb0bdu3fvkDVrVgBiez19JWp1OXr0KOrWrQsAqFChArp3744CBQogNDQU+/btw4oVKxAdHR2bdeRi5Pt5fF/mxnj27BkqV64MgM9ZIiJjTJkyBSNGjIht16tXD4dM8J3Gx48fcfnyZZw4cQIHDhzAqVOnZJV9E1KsWDG0adMGrVu3RsWKFblwiigBarUaJ06cwOrVq7Fhwwa8e/cuwXOyZcuGnTt3omrVqiafjzk+T1hl5jcA5MuXD/ny5bP0NIhSNnd3EaDQXAPz7FnSgt/btsnb7doBmTIB9euLUqMxtm9PnuC3JGkHlv73v7j7zs5xe5rG2LvX+OC3MusbAAoUMO4aZLjy5eXtq1dFgM/W1jLzMSVJ0q5W0KqVZeZCpte3rzz4ffiw2DLB1NskBAcDM2aI1+QHD8RrfeHCYu/xwYNNk7W4Z4888A2IrG9+yLROKpUoG/7smfz9/OlTsUDnyBFRacIQZ86IbOzgYO3HvvsOmDzZ+NLm6dOL0uhExrCzE4uSkloKnYjICoSGhsbejwmCxyddunQ6zzPWkCFDMGPGDFm2YKdOndCpUyc0b94cO3fuRJcuXbBDs5KcAXIrF/kTEZFJOGhW5DIhZ2dn1KpVC7Vq1cKoUaPw6dMnnDhxAgcPHsSBAwdwLb4tsv5z+/Zt3L59GxMnTkSuXLnQrl07dOnSBZUqVWIgnEgHGxsb1KlTB3Xq1MHs2bOxd+9erF69Gtu3b493G5qPHz+iePHiyTzTxOPSdaK0zN5eu7x3Uvb9fvNGe+/ltm3Fn8rg3dGj8qC7uTx6JL6Y16QZ/AbiSqDH2L9flH83hjL4nSuX+CKezEMZ/P70SXvP9dTq9m2REampYUPLzIVMr21bIFs2ed/ff5vu+pIk9nMvVEjsxX3/vuhTq0UVjokTxZYMCxcm7TVYkrRL6RctKsoJk/Wytwc2bBDVNjTduyf67t3Tf74kied77dragW8nJ2DFCrE1QCoqo0VERGQtNL/oTCi4ofn458+fjR6ratWqCAgIwMyZM3WWyW3UqBH69esHANi5cye2KRfZExGRRaRXfNd5584dREVFmXycDBkyoHHjxpg6dSquXr2K58+fY9WqVWjcuHGC5z59+hSzZs1ClSpVUKhQIYwdOxa3b982+RyJrIWDgwNatmyJtWvX4sWLF/j333/RqFEj2CqSzFq0aIGMGTNaaJbGY/CbKK1T7vudlOD3kSPyYEq6dHFfkP9X0izW8+eitKS5nT0rb7u5iQCNJmXw+/Vr7SB+Qu7ckbdNncVJcu7u2hmGxv6bGSI6WpTRTcr/C2MpKxV4ebGKgDVxchJbMWhaskS+9UJiSRLg6wv06ydKQMfn0ydxTI8eiR933z7tctUjRrAkcFqQPj2wc6d2lvXjx0CVKmLLBl0LK548AVq0AL79FlCWr/PyEqXTu3Y137yJiIhIL81sbs39XHXRfFwZCDGEk5MT8uTJozcbr1evXrH3lyxZYtT1AwMD9d7OnTtn9JyJiAioUqWKrB0cHGx0dY7EcHd3R5cuXbBnzx48VyaM6OHv74/x48ejePHiKFeuHP788088efLEjDMlSt1cXFzQrVs37N27F0+fPsXs2bNjy5z7+PhYeHbG4TeURGmdKYPfyqBdrVqAo6O4X7CgCFhqOnEi8WMZShn8rlJFuyRvvnxAkSLyvr17jRvn5k15u1gx484n4ymzv00Z/FargblzRQZ/gQIi0F6+PHD8uOnGiI/y/1G9eiwjbW2+/VbefvtWZNMmhSSJctF//mn4Of/+CzRvLoLhxlCrgZEj5X1eXkAq+yWYkiBLFrEAQrnQ6/17sW3I//4nnl9nz4rS+926id8Ddu3Svla9esCFC9qv6URERJSsNPfV/vLli95jNbPEjd2P21ClSpWC43/fJ5w+fdqocz09PfXePJTfgxARkUFKly6tFQCfP39+ss7B3d0db9++RXkjP0NeuXIFP/30E/LkyYPatWtjwYIFBu1zTJRWubu7Y9CgQfDz84O/vz+aNGli6SkZhcFvorTOlMFvZRagZnlxlUoEwzUlR/BbuaK7cmXdxymzv/ftM26cW7fk7RIljDufjGeu4LdaLfZlHjQIePEirv/yZfGcXrPGNOPoEh0ttgTQpCzTT6lf4cJAgwbyvnnzknbNefOAWbO0+7/5RgQgT50Smd5Khw8DTZsCHz8aPtb69cCVK/K+334DzLT3F6VQOXOK51XFitqPHTkiKhxUrQq0bi2ywZXZ3gDw44/i/dbNzezTJSIiIv0cHR2RI0cOAMALzc9BOmg+njdvXrPMx9bWFlmzZgUAvHnzxixldYmIyHj9+/eXtQ3Zk9vUsmTJggMHDsQbAE9on+8TJ06gf//+8PDwQOfOnXHgwAFER0ebY6pEViF//vyxixJTCwa/idI6UwW/Q0K0s5+Vwe4aNeTtixcTN5ahIiO1A6KK1YmxlHvG+PmJDDZDREdrlz1n8Nv8dAW/TbGP/B9/AP/8o/uxqCigZ0/zlFgHxHVDQuR99eqZZyyyrAED5O2zZ0X2a2JcuCCyvjXZ2ADLlonncuXKYguKpUtFhrkyO+f4cbFXtyEl0N+/B374Qd5XvLjI7KW0x81NLKDo0sW483LkALZsAaZMAezszDM3IiIiMlrJ/7Y1CQ0NRYjyc4mGoKCg2PslzPjZV61WAxBBDF17gxMRUfLr0KFD7OKkGH379k324HHWrFnjDYDnypULa9aswbBhw/RW+wgPD8fatWvRsGFD5MuXDz///DMePnxozmkTUTLhb45EaZ2pgt/nzskDjw4O2sFJZXbYzZtAAuXUkuT+fSA8XP8cYtSpE1eiHRABbUNLXD98qP1zMPhtfsrnV0gI8OhR0q559Srwyy/6jwkPB7p3F4FwU1OWPC9aVHtvc7IOzZsDnp7yvqlTjb/Ou3dA+/baWbUrVmjvLQ4A7doBx44Big+qOHIEaNtW+zVTafhwIDhY3jd+PGBra/zcyTq4uACrVgEbN2r/TqHk5AQMHCiqpbRunSzTIyIiIsPV01h4e0VZ6UfDJY3FwPWMXKwbEhKC8ePH49ixY3qPi4yMxNu3bwEA2bNnZ/CbiCiFSJcuHQYPHizrO3v2LOYltaJdIsQEwMuVKyfrDwoKwvDhwzFo0CAEBgbi0KFD6NWrFzJnzhzvtQIDAzFu3DgUKFAAdevWxb///otPxm4TR0QpBn9zJErrTBX89vOTt8uXlweTAaBMGfnexdHRwPXriRvPEDduyNu5cmkHfGKkTy8yIzUpA5HxUWa8u7mxhGty8PQEXF3lfefPJ/56kgQMHSoPatvYAKtXA336yI+9eRP4++/EjxWfw4flbZY8t152doCiVBg2bAAePDD8GpIkKhEEBMj7hw/Xn4lbrpx4rmXLJu/fu1cE0uPLAN+zB1i8WN7XsCGDmCR89ZVYDLZsmagk4Okp3lvd3MQCsz/+AAIDgTlzxJ7hRERElOK0a9cutlTsIT2fhw8ePAgAcHV1hbe3t1FjvHv3DmPHjsWaBLaTunjxIiL/W+BZs2ZNo8YgIiLz8vX1ReHChWV9I0eOxJMnT5J9LlmzZsXBgwd1BsDr1q2LgIAA1KtXD4sXL8bz58+xdetWfPXVV7C3t4/3mkePHsXXX38NDw8P9O3bFxfNXb2UiEyOwW+itE5X8DsxpaOVQceqVbWPcXERe91qMlf5aEA7sP5fCbd4KQONiQ1+Fy9u2HmUNCqVdib/2bOJv96+fSIjVpOvL9C5MzB3LlC2rPyxCRMSzpI1Rng4cPKkvI8lz61b//6As3NcW60WZaANNXMmsG2bvK9GDfHcTEiZMsCBA4By1fOOHeK18NUref/ly+L/giZnZ7EIJIG9tCgNcXISFQe2bROB7k+fgJcvgaNHgZ9+0l6wRERERClKoUKF0L59ewDAihUrEBERoXXMw4cPcfi/Rbs//fQT7BRbmNy4cQOFCxeGp6cnjuupprZ//369JXLnz58fe79v375G/RxERGReTk5O+FuRFPLp0yf069cPkim2JDRSfAHwwMBA1K1bF/7+/gAAR0dHtGrVChs3bkRwcDBmzZqFMmXKxHvd0NBQLFq0CBUrVkTlypWxZMkSfP782aw/CxGZBoPfRGmdMvgdFqa957Ahrl6Vt+MrL64sVX35svFjGUqZ+V2qlP7jlYHGmzeB588THufWLXmbJc+Tj3KRxZkzib+WMmCYOzcwdqy4b28vAo2agoOBf/9N/HhKfn7yjFuVCjAyi4JSmSxZtLO/ly0DNPZQjJefHzBihLzP1RVYu1Y8Xw1RrpzI9lbuAe7nJxZ7LF0qMtEXLhSZu8r3hsmTgTx5DBuLiIiIiFKFKVOmwM3NDQEBARg1apTssfDw8Nh9XStUqIBBgwZpnT9hwgTcv38fT58+ha+vb7zjPHr0CCNGjNAZJFm+fDlWrFgBAOjcuTMaNGiQxJ+KiIhMrU6dOlqLk/bs2YO//vrLIvNJKACu3Mvb1dUVQ4YMwZUrV3Dp0iUMGjQIWfRUKTt//jx69eqFnDlzYujQobh9+7ZZfg4iMg0Gv4nSOl37CRsSeNH05o3I8NKkzJKNoVxNpwwcm5Iy+J1Q5nelStpBoCNHEh5HmfnN4HfyqVZN3r50KXHZ2H5+2lnXv/4qshhj1KmjHYyePTtxlRJ0UZY8L18+/jL9ZD2++06+RURERNyii/i8eQN07Cgv0a9SiX2+lfuIJ6RKFWD3biBjRnl/cDDwzTdAoUJAv35AaKj88fbtRT8RERERWRUvLy/s2LEDHh4emDZtGho3box58+Zh2rRpqFSpEg4dOoSyZcti+/btcNL8vPQftVode19XYNvZ2RkFChQAAEyfPh3ly5fH+PHjsWzZMsyYMQMNGzZEjx49IEkSevTogSVLlpjvhyUioiSZPHkyPBSJVT/88AOOKSsrJpOYAHhZxffSgYGB8Pb21gqAxyhXrhxmz56N4OBgrFu3Do0bN47dBkQpJCQEf/31F4oXLw5vb2+sW7dOZ6UUIrIsBr+J0jonJyB7dnmfsfuzKLO+HR2BIkV0H1usmLxtrlVynz4B/5W0iZVQ8NvOTgQ4NSVU+jw6GrhzR97H4HfyqVxZ3g4PB65cMf468+bJ256eQNeu2sf99JO8ff06cOGC8ePponyuseR52uDhAfTqJe9bvhw4fVr38ZGRQKdO2guORo0CGjdO3Bxq1hSLP3LnNuz4unVFhroNf40kIiIiskZVqlTBtWvXMHr0aAQGBmLEiBEYP3480qVLh5kzZ+Ls2bPIqWshPYDRo0ejYMGCyJUrFyZPnqz1uKurK+7fv49Dhw5h2LBhcHJywsyZM9GnTx/8/PPPePLkCXr37g0/Pz8sXbpUZ4CdiIhShsyZM2PRokWyvujoaHTo0AFPnz61yJwSGwAHRDn3Dh06YM+ePXjy5Al+//13eOpJMjh27Bg6deqE3LlzY9SoUQhUfldDRBbDby2JCPDykreNDX4rg42lSolAsi7K/bBfv9beW9YUbt+WZ+SqVIbtxW3svt/+/tqZxgx+J5/MmbUXVBhb+vzdO2DjRnnfkCGAg4P2sQ0bAnnzyvv++ce48XQJDQXOnZP3KZ+LZL1+/lm+97ckiazrjx/lx0mSKJN+8KC839tbVCpIilKlgLNngUaN9B/XvTuwaxeQPn3SxiMiIiKiFM3V1RXjx4/HzZs38fHjR7x79w5nz57F0KFD4aDrs9J/Spcujfv37yMoKAi1a9fWeYxKpUK9evUwY8YM+Pn54fXr14iMjERoaCju3LmDRYsWoapyiysiIkqRmjVrhrGKCnYvX75Eu3btEJ6Y6owmkC1btngD4LpKoOvi6emJsWPH4tGjR9i2bRuaNGkSbzb4y5cvMWnSJOTLlw8dOnTAqVOnLLL3ORHFYfCbiEwf/I6v5DkA5MsnL/ELmCf7+/p1ebtgQSBduoTPU2bbBgQAjx7Ff7wy693NTey7S8lHWfrc2OD3ypXAly9xbXt7oEcP3cfa2AA9e8r7Vq8WlQaS4sQJeQlre3uRjUtpg7s78Msv8r67dwEfH5HpDQBqNTB8uPZiC3d38RyMb8GRMTw8gD17gJ07gSZN4gLc6dOLrPJ9+0RWuiGvpURERERERESUJvzyyy9o0qSJrO/MmTP47rvvLDSj+APgT548MTgADgB2dnZo2bIldu/ejQcPHsDX1xdubm46j42OjsaGDRtQs2ZNVKpUCStWrGBJdCILYfCbiLSD38aWaDEm+G1rq10S3Rz7fiv3+y5VyrDzSpYUAWxN+rK/L16Ut8uXN2wcMh1lRoAxwW9JAhTlmdC6tfZzQFPPnqKSQIzQUO3McWMpn2NVqwIZMiTtmpS6DBsGVKwo79u+HahVC5g2Le5PTenSiWMU+2sliUoFNGsm9gEPDRW3Dx9EULxhQ9ONQ0RERERERERWwdbWFitXrkT+/Pll/fPnz8fChQstNKu4AHiZMmVk/TEB8Ef6Ep50yJ8/PyZNmoTAwECsWbMGdZTbZ2q4ePEiunfvjjx58uD333/HixcvEvUzEFHiMPhNREnL/P7yRTtzW1/wG0iefb+Vwe+E9vuOYWOjnf2tL/it3O+5QgXDxiHTUQa/AwKAZ88MO/f8ee0qAX366D8nd27t0tArVxo2XnyUzzGWPE977OyAtWtFKX9NZ88CP/6ovQe4SgWsWqW9770p2diIcuy2tuYbg4iIiIiIiIhSvaxZs2Lz5s1Ip6gWN2DAAOzcudNCsxIB8EOHDukMgHt7exsdAAcAR0dHdOrUCUePHsXNmzcxcOBAZIgnieX58+f45Zdf4OXlhR49euDy5cuJ+jmIyDgMfhNR0oLft27JyzUDQOnS+s9R7r1tjszvmzflbUOD34B24PHwYfn+4TEkSTvzW5m5SeZXvDiQMaO87+hRw85VZn3ny2dY4FlZFv3wYeD5c8PGVHr9Wrt8PoPfaVOBAsC2bQnvp21rCyxbBrRpkyzTIiIiIiIiIiJKSJkyZbBI8V2bWq1Gx44dcf78eQvNSn8GeGID4DGKFy+OOXPmICgoCFOnTkXevHl1HhcREYHly5ejfPnyqF+/Pg4cOMB9wYnMiMFvItIOfgcFAdHRhp2rDNoVKAC4uOg/x9yZ358/A0+fyvuKFjX8fGXg8eVL7WA6APj7A+/fy/uY+Z38bG1FSWhNR44kfF5oKLBmjbyvVy+R7ZqQFi3kZcnVamDDhoTP0+XwYXk7fXrzZvNSyla7tli8UbCg7sfz5BHPme7dk3VaREREREREREQJ8fHxwejRo2V9nz9/RrNmzeDv72+hWQGurq56S6AHBAQk6fqZM2fGDz/8gAcPHmDz5s16S6IfOnQIDRs2RPny5bFmzRpEKRPLiCjJGPwmIu3gd1SU4Vmsxuz3HUOZ+f30KRASYth4htD1i1SBAoafny+fCDBp0lX6/ORJeTt7dlESm5Jf3brytiHB73XrgE+f4to2NmI/b0OkTw+0aiXvUwbSDXXggLxduzbg4JC4a5F1qFRJlONfvBho2xaoXh1o1w5YsgS4c0c8R4iIiIiIiIiIUqBx48ahu2LR/qtXr9C4cWO8evXKQrOKC4CXVlQtffz4Mby9vZMcAAfE/udt2rTB0aNHcfnyZfTo0QMO8XzPd+XKFXTp0gWFChXC7Nmz8Unze0oiShIGv4kIcHMDHB3lfYaWPk9M8LtQIe09ZO/cMWw8Q9y/L2/nypVwGWFNKpV29vfBg9rHHT8ub9eqJc6l5KcMfj94ACRUskhZ8rxZMyBnTsPH7NxZ3vbzE/uNG0OStIPfDRoYdw2yTk5OohLBpk3AqVOiskDPnqKfiIiIiIiIiCiFUqlUWLRoERoovuN68OABWrZsic+fP1toZiIAfujQIbMGwGOULVsWS5cuRWBgIH7//Xe4u7vrPC4gIABDhgyBl5cXfvnlF4suECCyFgx+E5HIeFVmLBsS/JakxAW/HRy0S/qact9vZfC7UCHjr6Er+K1cfXfihLzNbEzLKVMGcHWV9+3ZE//xly8D587J+/r0MW7Mhg2BLFnkfWvXGneNBw+Ax4/lfQx+ExERERERERFRKubg4ICNGzdqlRk/c+YMOnfujMjISAvNLHkD4ACQPXt2jB07FgEBAfj7779RKJ7vqt++fYvff/8defLkwZAhQxAUFGTSeRClJQx+E5GgLH1uSPA7IAD48EHeZ0jwG9Deg1sZsE4KUwS/GzeWZ6d/+QLs3x/XfvJEBC41KfedpuRjayv+zTTt3h3/8XPnyts5cwJNmhg3poMD0L69vG/1auOuocz6zpEDKFnSuGsQERERERERERGlMBkzZsTu3bvhpfjeefv27ejZsyfUarWFZhYXAC9VqpSs31wBcABwcnJCnz59cPv2bWzatAmVK1fWeVxYWBhmz56NAgUKYMCAAXhiaIVWIorF4DcRCYnJ/FZmfWfLJkqMG0KZ+a0MJCeFKYLfWbMCderI+zZujLu/Y4f28YrVgpTMmjaVtw8d0l6cAQDv3mkHqb/9FrCzM35MZenz69eBmzcNP19zQQUA1K/P0vlERERERERERGQVcubMiT179iBz5syy/lWrVmHgwIGQJMkyE4MIgB8+fFhnALxu3bpmCYADYl/wtm3b4syZMzh27BiaNWum87iIiAjMnz8fBQsWRN++ffEooS0eiSgWg99EJCgzvwMDEz5HV8lzQwN3yuC3v79h5xlCGUhXjmWoNm3k7S1bgJAQcX/7dvljzZpp72NOyatxY3kA+8sXYNs27eOWLgXCwuLadnbGlzyPUauW9j7ha9YYdm5UFHDkiLyPJc+JiIiIiIiIiMiKFC9eHDt27EC6dOlk/QsWLMCIESMsHgDXlQEeEBBg1gA4IPZGr127Nnbu3Inr16/j66+/hp2O5JzIyEgsWrQIhQoVQs+ePXHflBVUiawUg99EJCSm7Hli9vuOUaCAvP3ggdhDPKk+fQKCg+V9icn8BoCOHeXB1LAwEdh89gw4fFh+bIsWiRuDTCdLFrEPtyZlhndUlHbJ86++Ajw8Ejemra14nmhas8aw5/KJE9qZ6fXrJ24eREREREREREREKVTNmjWxZcsW2Nvby/qnTp2KCRMmWGhWgpubm94A+OPHj80+h5IlS2LZsmXw9/fHgAED4ODgoHVMdHQ0li1bhqJFi6Jbt264d++e2edFlFox+E1EgjL4bciqtqtX5e0yZQwfT5mN/eED8OaN4efHR1f5dGWg3VBubtpB7T//FMHTqKi4vnTpgEaNEjcGmZayDPm+ffKqAqtXAw8fyo8ZMMC0Yz58CJw/n/B5W7fK22XLameRExERERERERERWYFGjRph7dq1sLGRh6XGjh2LWbNmWWhWgr4AuLe3d7IEwAHAy8sLc+fOxcOHDzFkyBA4OTlpHaNWq7Fy5UoUL14cffv2RVBQULLMjSg1YfCbiIT8+eXtd++At2/jP/7dO0D5pm9M5nfu3Np7LJti329l2ZfcuUVwOrH69ZO3Hz0ClKsRfXyAjBkTPwaZTuvWQKZMcW1JAmbMEPc/fwZ++UV+fMWKonR5UlSsqL3AIqHS55KkHfxWltknIiIiIiIiIiKyIm3btsXSpUu1+ocNG4YlS5ZYYEZxYgLgJUuWlPUndwAcAHLlyoVZs2bh0aNH+OGHH7RKxgMiE3zRokUoWLAgfvzxR7wxRWIZkZVg8JuIhDx5tPes1rcPtzLr28EBKFrU8PHs7IB8+Qwfz1DK4HdiS57HaNAAqFZN/zEDByZtDDIdZ2egVy9538KFwM2bwKhR2hUNfv3V8H3q46NSaWd/r1sHREfHf87ly9pbCzD4TUREREREREREVq579+6YM2eOVn+fPn2wWrmFYTJzc3PD4cOHdQbAk6sEuqYcOXJg6tSpCAgIwE8//YQMGTJoHRMeHo5p06Yhf/78GDduHD5+/JiscyRKiRj8JiLB3h7Im1fepy8T++JFebtkSXENY+ja9zuplNdQllc3lkoFTJkC2MTzcvn118ZlvJP5DRkiFmPEiIoSz09l+aQ6dYCmTU0zZpcu8vazZ8CxY/Efv2WLvJ0/v5gjERERERERERGRlRs4cCAmTZok61Or1ejWrRvWrVtnoVkJ8WWAP3r0yCIBcADInj07/vjjDwQEBMDX11dnJviHDx/w888/I3/+/Jg1axbCw8OTfZ5EKQWD30QURxkoNib4XaFC0sdLiZnfAFCjhnbgFABKldLdT5aVJw8wfLj+Y+ztgXnzkp71HaNYMe097+MrfS5JwObN8r42bUw3FyIiIiIiIiIiohTO19cXI0eOlPWp1Wr4+Phgw4YNFpqVkD17dhw6dAglSpSQ9ccEwC21z7arqysmTZoEf39/DBgwAHbKbUUBvHr1CsOGDUOJEiWwfft2SJJkgZkSWRaD30QUJynB7/LljR/PHJnf5gh+A8CgQcChQyJIWb682Dv61Cn5/tKUcowapT8jf8ECoHhx046pLH2+cSMQFqZ93MWLwK1b8r7WrU07FyIiIiIiIiIiohRuwoQJGDZsmKwvOjoanTt3xqZNmywzqf9kz54dhw8f1hkA/9///ofnz59baGaAh4cH5s6dizt37sDHxwcqHUk1/v7+aNWqFRo3boxbyu8iiawcg99EFMfQ4PeHD8C9e/K+lJD5HRoKKH/pMFXwGwDq1RMZuxcvir2iXVxMd20yrfTpgX37gMqV5f1OTsD8+cA335h+zE6d5O3374FVq7SPW7JE3s6TB6he3fTzISIiIiIiIiIiSsFUKhWmT5+OwYMHy/qjo6PRqVMnbFFuHZjM4guA37t37//s3XdcU9f7B/BPwpShgoDKUNw4UXHhVsQtYsXRVnGPVr9q6551ax1111n3xrpAnLj33rhFQVFBRfbM/f3hj5RLwggkhPF5v155kfvcc+95QriE8OScg1atWiE0NFRLmX1Xrlw5bN++HXfv3kXHjh2Vtjlx4gRq1KiBESNG4MuXLzmcIZF2sPhNRP9JXYz29/8+RXNqd++Kt3V1v08BrqrUI78/ffpeWM+q1MV6ieT7WspUMFlZAVeuAEeOADNnAsuXf/8ZGTpUM/2VLg24uopjf/0FJCX9t/3lC7B1q7hNv35prylPRERERERERESUj0kkEixbtgy//vqrKJ6YmIju3bvj8OHDWsrsu+QCuIODgyj+6NEjtG7dGmFhYdpJLIUaNWrA29sbFy9eRIMGDRT2JyUlYcWKFahQoQL+/vtvJKX8fyVRPsT/thPRf1JPA/31K/Dxo2K71FOeV6v2fUStqsqUUVznODujv1MXv+3sspYX5R9SKdC+PTB1KvC//wE2Nprt77ffxNv+/uK1v1euBKKi/tvW0QH69tVsTkRERERERERERLmYRCLBihUrMDTVoJXExER4eHjAx8dHS5l9l7wGeLlUg7nu3LmDdu3aISIiQkuZiTVq1AiXL1/G9u3bYW1trbD/y5cvGDZsGJydnfHw4UMtZEiUM1j8JqL/2NsDhQqJY8rWA1HHet/A98K0ra04lp3it6bW+ybKrDZtgBo1xLHx479/kCQoCFiwQLyve/fvI8aJiIiIiIiIiIgKMKlUilWrVmHQoEGieEJCArp27QpfX18tZfadtbU1/Pz8UKpUKVH86tWr6NixI6Kjo7WUmZhEIsHPP/+Mp0+fYsqUKTAwMFBoc+PGDdSuXRszZsxAfHy8FrIk0iwWv4noP1IpULmyOPbokWK71MXvrKz3nSyz64xnRurid+pzE2maVArMni2OvX8PNG0KNG8uHvUtkXwvjBMRERERERERERGkUinWrFmDAQMGiOLx8fH44YcfcOzYMS1l9l3p0qXh5+eHkiVLiuLnz5+Hu7s7YmNjtZSZIhMTE8yaNQtPnjyBh4eHwv6EhARMnz4dTk5OuHHjhhYyJNIcFr+JSKxqVfF26uJ3ZCTw9Kk4lp3id+p1v9U57TlHfpM2dOz4fQR4Sg8fKv5sDxwIODrmXF5ERERERERERES5nFQqxbp169A31VKBcXFxcHd3x4kTJ7ST2P8rX748/Pz8YGlpKYqfPHkS3bt3z3Ujqe3t7eHl5YUzZ86gUqVKCvsfPnyIBg0aYPz48bkud6KsYvGbiMRSr/t9/754+/p1QBD+29bRUZzmWRXqHPmdurjIkd+kDRIJsGEDYG6edptSpYB583IuJyIiIiIiIiIiojxCKpViw4YN8PT0FMXj4uLQuXNnnDp1SkuZfVe5cmWcPHkSZmZmori3tzd69eqFxMRELWWWtubNm+Pu3buYOHEidHR0RPtkMhkWLFiAli1b4v3791rKkEh9dLWdABHlMjVrirfv3gUSEwHd//91ceGCeH/t2orrhKtCXSO/o6KA4GBxjMVv0hZbW+D4caB16+/rfadkZQUcPQoUK6ad3IiIiIiIiIiIiNIQERGBJ0+e4OXLl/j8+TO+fv0qv4WFhYm2Y2JiRMcKKQdNpWBkZAQTExP5zdjYWLSdfCtatCgsLS1hYWEBCwsL/Pnnn0hISMCuXbvk54qNjYWbmxt8fHzQsmVLjX4v0uPo6IgTJ07AxcUF4eHh8riXlxcMDQ2xefNmSKW5a/ypoaEh5s6dCw8PD/Tv3x/37t0T7b906RKcnJywd+9eNGnSREtZEmUfi995UGJiItavX4/t27fjyZMniIuLQ6lSpdC5c2eMHDkSJUqUyHYfEokkU+06dOgAHx+fbPdHuUidOuLtmJjvU58nT8988aJ4f+PG2esvdYE6KAiIjQUMDVU7j7KiedmyWc+LKLvq1AHu3QPmzgX8/L6PCG/TBpg8GSheXNvZERERERERERFRARYWFoZ79+7B399fdAsKCtJ2ahmKiYmBi4sLevbsiR9//BE2NjawtraGlZWVwqhmTapTpw58fX3Rpk0bREVFyePbtm1DoUKFsGbNmkzXWnJS7dq1cePGDSxYsAAzZ84UTXf+4cMHtGjRAosWLcLIkSNzZf5EGWHxO48JDQ1Fx44dce3aNTg4OGD8+PEwMTHBkSNHMH/+fPzzzz/Yt28fmjZtqu1UKa+ysADKlAFev/4vdv369+J3QgJw5Yq4fXY/AZZ65LcgAK9eKU6/npHU06Xb2mZvRDqROtjZAatXazsLIiIiIiIiIiIiPHv2DN7e3vD29sbFixeRlJSk7ZSyZffu3di9e7d8WyqVokSJEvJiePKtVKlSsLe3R+nSpWFjYwNdXfWVxho1aoTDhw+jQ4cOiI2NlcfXrVsHQ0NDLF26NFcWkPX09DB58mS0a9cOXbt2RUBAgHxfUlISfvvtN4SGhmL27NnaS5Ioi1j8zkMSExPRpUsXXLt2DQ0bNsSpU6dQ6P+Le7/++ismTZqEefPmoXPnzrh+/ToqVKiQrf6GDRuG4cOHp9vGxMQkW31QLlWvnrj4fe0aMGgQcOnS9+nFU2rUKHt9mZp+nwb606f/Yi9fZr/4zSnPiYiIiIiIiIiIqAATBAGXL1/GgQMH4O3tjWfPnmk7JY2SyWR4//59uutW6+jowM7ODvb29vKCePJ9e3t72Nraqlwcb9myJQ4cOAA3NzckJCTI48uXL4eRkRHmzp2bKwvgwPdR4Ddv3kSvXr1w7Ngx0b45c+bAzMwMo0eP1lJ2RFnD4ncesn79ely8eBESiQTr16+XF76TzZgxA15eXnjx4gV+//13eHt7Z6s/CwsLODg4ZOsclEfVrw/s2fPf9smT30dk+/qK29Wu/b1wnV3ly4uL36kL2ZnB4jcRERERERERERERAOD8+fOYNGkSLl26pPKxUqkU9vb2sLa2hpmZWZo3Y2PjDIu6MpkMMTExiIyMRGRkJKKiouT3U25HRETgy5cvCA0NRUhIiGgdbXVKSkpCQECAaKRzSjo6OrCxsREVxFMWyu3s7KCnp6dwXNu2bbF37154eHiIRtTPnz8fRkZGmDp1qkYejzoUK1YMPj4+mDVrFmbMmCHaN2bMGJiZmaF///5ayo5IdSx+5xGCIGDevHkAvk+jUUXJqFg9PT307dsXU6ZMgY+PD+7duwfH5HWaiVTRurV4++1bwN8fSL2+e/v26umvfHng8uX/tpWt352R1MXv1NOpExEREREREREREeVzd+7cwaRJkxRG8Sqjr68PBwcHVK5cWf61cuXKqFixIgwNDXMg27TFx8fj8+fP8mJ4aGgoQkND8f79e8yZM0dj/SYlJeHt27d4+/Ytzp8/r7BfKpWKiuMpR45Xr14dmzZtQt++fSGTyeTHTJs2Daamphg1apTG8s4uHR0dTJ8+HXZ2dhg4cKBo36+//gpXV1fY2dlpKTsi1bD4nUdcvXoVgYGBAIBWrVql2c7V1RVTpkwBAHh5ebH4TVlTpcr3NbODgv6LTZv2vQCeUocO6ukvdaGaI7+JiIiIiIiIiIiIMi00NBT/+9//RGtgK1OiRAl07NgRnTp1gouLC4yNjXMoQ9Xo6+ujZMmSKFmypMK+adOmoVu3bjh8+LDSfTY2Nnj//j3evXuHd+/e4c2bNwgICEB0dHS285LJZAgMDERgYCAuXLigsF8ikUAQBIX4b7/9hq9fv2LSpEkwMDDIdh6aMmDAAHz9+hVjx46Vx+Li4rB27Vqu/015BovfecTp06fl92vWrJlmO0dHR0ilUshkMtEx2SWTyRAdHc01vgsKiQRo2xbYsOG/2L//itvY239fG1wdUheqVS1+x8aKC/XKzklERERERERERESUDwUFBaFVq1Z4+vSp0v329vbo3bs3OnXqBCcnJ0il0hzOUL309fWxd+9edO3aFUeOHBHtW7ZsGU6dOoXBgweL4oIg4PPnz/Ipz5NvyYXx169fIyoqKtu5KSt8J5s5cyZmzpwJa2trpeuN29vbo1SpUlofdT9mzBg8evQImzdvlsfWr1+PGTNmQEdHR3uJEWUSi995xMOHD+X305tawsDAAJaWlvj48SMePXqUrT7fvn2LIUOG4OTJkwgKCkJCQgL09fXh5OSEHj16YPDgwQrrjmdGUOoiZSrBwcFZTZnUydNTXPxObdAgQF1/JKUuVL95AyQkAErWTlHq9evva5KnxGnPiYiIiIiIiIiIKJ97/vw5XF1d8ebNG4V9xYsXx9SpUzFo0CDo6+trITvNMTAwwL///osuXbrg6NGj8vi3b9/g6uoKPz8/1K5dWx6XSCSwsLCAhYUF6tSpo3A+QRDw5csXUUE89S0iIkItub9//x7v37/H5ZRLgaZgYWEBW1tb2NnZwdbWVnTfzs4ONjY2WarNZJYgCApF7k+fPuH9+/ec+pzyBImQ3sdQKNdwdnbG1atXAXwvHtvY2KTZ1tHREffv3wcAfPnyBWZmZir3J5FIAAA2NjYYNGiQfPr069evY/Xq1QgLC0PFihVx+PBhVKpUKUvnzozAwEDY2tqqdH5SE0H4PrL75k3FfYaG3wvOJUqop6/PnwELC3HsxYvMF7C9vQE3t/+2ixcHPnxQT25ERERERESUpqCgIPk/QfkenvIC/swSUX7y4MEDuLq64uPHj6J4kSJFMH78eIwYMSLXTmuuLrGxsXB3d8fx48dFcTMzM/j5+aFWrVpq6UcQBISFhSkdNZ48cjw8PFwtfWWGqakprKys5LfixYvL71taWqJw4cIwMTFRuBkaGiIxMRHx8fGIj49HQkICYmNj8fbtWzx58gRPnjzBpUuXcOvWLVF/NjY2ePv2bZ6fNYByH038bcaR33lEyk8UZTTlRcpP/ERERGSp+A0AjRo1wpEjR1CkSBF5zN3dHUOGDEHjxo3x7NkztGnTBrdu3UKxYsWy1AflYhIJMHcu0KaN4qjqP/9UX+EbAMzNgaJFgbCw/2KqFL+53jcREREREREREREVIB8/foSLiwtCQkJEcQcHB5w8eTJHPtyzb98+zJw5EwYGBujevTuGDBmCwoULa7zflAwNDXHw4EG4ubnh5MmT8vjXr1/RqlUrnD59Wj64LzskEgnMzMxgZmaWZkE9LCxMYdT469evcejQoWz3n1pERAQiIiLw8uVLtZ9bmf/9738sfFOeweJ3HhETEyO/n9H0JCn3R0dHZ6m/169fo3jx4kqnzihdujSWLl0KDw8PvHnzBrNnz8aSJUsyfe7AwMB09wcHB6OeutaSpuxxdQW2bAGGDAFiYr4XxIcOBYYPV28/Esn3gnXKUeaqvGiz+E1EREREREREREQFyMyZMxUK37Vr18axY8dgaWmp8f79/f3RvXt3+RrXN2/exPTp0/HHH39g5MiRMDAw0HgOyQwNDXHo0CF06tQJfn5+8viXL1/g4uKCM2fOoHr16hrPo2jRoihatKhCsT0hIQHu7u7w9fVVOKZJkyaIiopCQEAAvnz5ovEcs8LR0RHDhg3TdhpEmcaPaahZYmIiJBJJtm+bN28WnTdlETo+Pj7dHFLuNzIyytLjsLe3T3fNCHd3d/lo782bN0Mmk2X63MlrVKR1K1myZJZyJg3p3ft7cfnsWeDjR+Dvv9W31ndKqUd5py5op4fFbyIiIiIiIiIiIiogXr58iXXr1olijRs3xunTp3Ok8A0Az549Q+pVdaOjozF+/HhUq1YNPj4+Cvs1qVChQjh8+DBatGghin/+/BkuLi54/PhxjuWSmp6eHry8vNCwYUOFfTExMTh79iw+f/6M8PBwPHr0CMePH8c///yD6dOnY+DAgWjbti2qVq0qmqU3J5QpUwZr167FtWvXYGJikqN9E2UHR37nEaampvL7sbGx6bZNOUo85XHqpKOjg5o1a8LPzw9hYWHw9/dH1apVNdIX5QLW1t9vmpS6YJ2dkd+ZnS6diIiIiIiIiIiIKI+ZOnUqEhMT5dsGBgbYtWtXjhZHW7VqBSsrK3z69Elh34sXL9CpUye0a9cOS5YsQaVKlXIkJyMjI3h7e6NDhw44d+6cPB4SEgIXFxecP38eFSpUyJFc0sqtadOmePTokTx+8+ZN/PDDD/Dx8YGpqSmqVKmCKlWqpHmeiIgIBAcH49OnT/j48SM+ffokuv/x40eEhoYiKioKkZGRiIiIEP2spKVQoUKoVKkSHBwc4ODggNq1a6Ndu3bQ1WUZkfIe/tSqma6uLvz9/bN9ntSjn+3t7XH16lUA39fysLGxSfPYjx8/AgAKFy6c5fW+M8PKykp+/8OHDyx+U/akLn5nduR3fDwQEJD+uYiIiIiIiIiIiIjygQcPHmDXrl2i2P/+978cWeM7JWNjYxw8eFDpaOZkR48exalTpzB69GhMmzYt3dlm1ZnXkSNH0K5dO1y4cEEe//DhA1q2bInz58+jTJkyGs9DGXNzcxw/fhwNGzbE27dv5fFTp07B09MTO3fuhI6OTrrnMDU1hampKSpWrJjpfuPj4xEZGYnIyEjExsZCT08P+vr6oq9GRkaQSCRZfmxEuQmL3xrg4OCg9nNWq1ZNfj8wMBC1a9dW2i4uLk6+zoemi9EppzrP6BcyUYaUjfyWyTKeYv3Nm+/t0jsXERERERERERERUT6wb98+0XbhwoUxYcIEreTi7OyMO3fuoFOnTggKClLaJiEhAfPnz8e///6LDRs2oGnTphrPy9jYGL6+vmjdujWuXLkijwcFBckL4HZ2dhrPQxkbGxucOHECjRs3RmhoqDy+d+9eWFhYYOXKlWovQuvr68Pc3Bzm5uZqPS9RbsU1v/OIli1byu/fvXs3zXb37t2TF6VTHqOKlStXYuvWrRm2+/Dhg/w+1+mmbEtdsI6LA1J8+i1NqUeIm5sDGpzxgIiIiIiIiIiIiEhbHjx4INru06cPihUrpqVsgJo1a+LmzZto3Lhxuu2eP3+OZs2a4ZdffkF4eLjG8zIxMcHRo0dRp04dUTwgIAAtW7ZEcHCwxnNIS6VKlXD06FGFdbT//vtvzJw5U0tZEeUfLH7nEQ0aNJBPW+Ln55dmu1OnTsnvd+vWLUt9LVq0CHPnzk23TVxcHO7cuQMAsLS0VGmKDSKlihcHUq9J8+RJxsc9eybe5qhvIiIiIiIiIiIiyqdSrhcNALVq1dJSJv8pXrw4/Pz88Ouvv2bYds2aNahatSp8fHw0nleRIkVw/Phx1KhRQxR/8eIFXFxclK5XnlPq1KmDAwcOQF9fXxSfPn06/v77by1lRZQ/sPidR0gkEkyaNAkAcPHiRTxRUhRMTEzE5s2bAQAdOnSAo6OjQpvIyEi0atUKRYsWxbJly9Ls79mzZ3j16lWa+3fu3Cn/dNagQYO4FgRln0QCVK4sjvn7Z3zc48fi7dTnICIiIiIiIiIiIsoHYmJi8CLVTJgpl0zVJn19faxatQrr16+Hnp5eum2DgoLQqVMn/Pjjj6KpvzXB3Nwcp06dQuVU/zf29/eHq6srvnz5otH+09OqVSts375dob4yfPhw7N27V0tZEeV9LH7nIYMGDULjxo0hCAIGDRqEmJgY0f7p06fj+fPnKFq0KJYsWaL0HDt27ICfnx++ffuGMWPGICoqSmk7QRDQr18/REREKOy7e/cuxowZA+D7+ubjx4/P5iMj+n8ODuLtzIz8ZvGbiIiIiIiIiIiICoAnT57Ilz1NVqVKFS1lo9zAgQNx9uxZlChRIsO2u3fvRo0aNXDy5EmN5mRpaQk/Pz+UTzVr6P3799G6dWt8+/ZNo/2np1u3bli1apUoJggCevfujUuXLmkpK6K8jcXvPERXVxcHDhxA/fr1cfHiRTg5OWHhwoX4+++/0bFjR8yZMwcWFhY4ePAgKlSooPQcqV8YBUFQaJM8Yvz8+fOoVKkSxo4di3/++Qdr1qxB3759Ub9+fXz58gV169bFiRMnULhwYfU/WCqYVB35LQiKxe9c9sceERERERERERERkTp8+PBBtG1lZQVjY2MtZZO2hg0b4tatW6hfv36GbYODg9G6dWv89ttviI2N1VhOJUuWxOnTp2Fvby+K37p1C+3atUtzoGBO+OWXXzBjxgxRLD4+Hu7u7unO0EtEyrH4ncdYWFjg4sWL+Pvvv1G0aFHMmzcPY8eOxcuXLzFu3Djcv38fzZo1S/P4Xr16oXnz5ihcuDAWLVoEExMThTaHDh3Cw4cPMXPmTFSpUgU7d+7Er7/+it9++w2nT59Gx44dsXfvXly5cgV2dnaafLhU0Kg68jskBEg9LQ1HfhMREREREREREVE+ZGZmJtr+9u2b0gFuuYG1tTXOnTuHAQMGZKr90qVLUa9ePTx48EBjOdnZ2eH06dOwtbUVxa9cuYIffvgB8fHxGus7I1OnTlVYMz00NBQdO3bU6sh0orxIIuTW34xUYAUFBcmL6oGBgQovRJSPPXsGVKokjoWGAsWKKW9/7hzQvPl/2wYGQFQUoKOjsRSJiIiIiIjoP3wPT3kNf2aJKC979eoVypUrJ4qFh4fD1NRUSxllTBAErFu3Dv/73/+QkJCQYXsDAwPMnz8fI0aMgFSqmfGbz549Q7NmzRRG0nfv3h07d+6Ejpb+v5yYmAg3NzccPXpUFG/dujWOHDkCXV1dreRFpEma+NuMI7+JKPcoWxbQ0xPH0hv9nXrK80qVWPgmIiIiIiIiIiKifMnS0lIhFhISooVMMk8ikWDIkCGZXgc8Li4Ov/32G9q2bYv3799rJKeKFSvi1KlTMDc3F8X37t2LYcOGaW00va6uLnbv3o1q1aqJ4idOnMCIESNy7Sh/otyGxW8iyj10dYHU69Wnt+536n1c75uIiIiIiIiIiIjyKRMTExgaGopinz590lI2qkleB9zZ2TlT7U+ePIkaNWrg+PHjGsmnatWqOHr0qMKa6WvXrsWUKVM00mdmFC5cGD4+PrCyshLFV69ejZUrV2opK6K8hcVvIspdUq/ZrcrIb673TURERERERERERPmURCJRGP399u1bLWWjOmtra5w9exZDhw7NVPvPnz+jXbt2mD59OpKSktSeT7169XDw4EHo6+uL4nPnzsXixYvV3l9mlS5dGocOHYKBgYEoPmrUKPj6+mopK6K8g8VvIspdHBzE2+kVvznym4iIiIiIiIiIiAqQyqkGAJ05c0ZLmWSNvr4+Vq9ejfXr1ysUnZURBAEzZsxA27ZtNTLFe6tWrbBz506F9cXHjBmDTZs2qb2/zGrQoAE2b94sislkMvTs2RMPHjzQTlJEeQSL30SUu6Qevf3okfJ2374Bqdd8YfGbiIiIiIiIiIiI8jEXFxfR9qlTp7SUSfYMHDgQ58+fh42NTabanzp1CrVr18atW7fUnkvXrl2xbt06hfjAgQNx4MABtfeXWT179sT06dNFsYiICHTq1AkfP37UTlJEeQCL30SUu1SrJt4OCADCwhTbpS6K6+gA5ctrKisiIiIiIiIiIiIirXN1dRVtv3jxAgEBAdpJJpvq16+PmzdvonHjxplqHxQUhMaNG2PXrl1qz2XAgAFYsGCBKJY80vrs2bNq7y+zpk2bhh9//FEUe/PmDdzd3RETE6OlrIhyNxa/iSh3qVwZ0NMTx+7dU2x3+7bicZmYJoeIiIiIiIiIiIgor3J0dISFhYUolldHfwNAiRIl4Ofnh2HDhmWqfWxsLH766SdMnDhR7euAjx07FuPHjxfF4uPj0aVLF/inXoIzh0gkEmzcuBHOzs6i+NWrV9G/f38IgqCVvIhyMxa/iSh30dcHqlYVx+7eVWyXenqb2rU1lhIRERERERERERFRbiCVSvPN1OfJ9PX1sXLlSqxYsUJh7e20zJ8/H127dkV0dLRac5k3bx4GDRokioWFhaF9+/Zam2rc0NAQBw8ehL29vSi+e/duzJgxQys5EeVmLH4TUe5Tq5Z4W1nxO/XIbycnjaVDRERERERERERElFu0atVKtH3s2DG1F4G1Yfjw4fD29oaJiUmm2h86dAgtW7ZESEiI2nKQSCRYvXo13N3dRfGAgAC4ublp7ftsZWUFb29vmJqaiuIzZszAzp07tZITUW7F4jcR5T41a4q3b9wQb8fGKq75zZHfREREREREREREVAC0bdsWEolEvv3t2zd4eXlpMSP1ad++PS5dugQ7O7tMtb927RoaNmyIly9fqi0HHR0d7NixA3Xr1hXFr1+/jl69eql9uvXMqlatGvbu3aswOr5///64kfp/6EQFGIvfRJT71Ksn3n78GAgL+2/75k0g5R8YEgng6JgjqRERERERERERERFpk62tLdq0aSOKrVu3TkvZqF+NGjVw7do11KlTJ1PtX7x4AWdnZ9y7d09tORgZGcHb21thqvEDBw5g3LhxautHVW3btsWyZctEsbi4OHTv3h1fv37VUlZEuQuL30SU+9Sq9X3t72SCAFy79t/2xYvi9jVqAKmmeyEiIiIiIiIiIiLKrwYPHizavnz5Mh4+fKilbNSvZMmSOHfuHH744YdMtQ8JCUGLFi1w69YtteVQvHhx+Pr6omjRoqL4X3/9hVWrVqmtH1UNHz4cw4YNE8UCAgLQv39/CIKgpayIcg8Wv4ko9zEwAFJ/qu/y5f/uX7gg3te4seZzIiIiIiIiIiIiIsolOnbsiBIlSohi69ev11I2mmFkZAQvLy+MHz8+U+2/fv0KFxcXXEs5kCqbKleujP3790NPT08UHzFiBHx8fNTWj6qWLFmCRo0aiWIHDx5UGBVOVBCx+E1EuVPDhuLt06e/f01KEhfCAaBJk5zJiYiIiIiIiIiIiCgX0NPTQ//+/UWxrVu3IiYmRksZaYZUKsX8+fOxdu1ahbWulfn27RtcXV1x/fp1teXQokULbNiwQRSTyWTo0aMH7t69q7Z+VKGnp4fdu3ejWLFiovi4cePU+tiJ8iIWv4kod2reXLx9+TLw9ev3rynX/wY48puIiIiIiIiIiIgKnIEDB4q2w8LCsHv3bi1lo1mDBw/Gnj17oJ9yucw0REREoEOHDnjx4oXa+vf09MT06dNFsejoaPzwww9aW2vb1tYW27ZtE8USEhLQvXt3fPnyRSs5EeUGLH4TUe7UogVgaPjftkwGnDgBHDokblejBmBjk7O5EREREREREREREWlZmTJl0Lp1a1Fs/vz5SEpK0lJGmuXh4YEjR47A2Ng4w7ahoaFo06YNPn78qLb+p02bBk9PT1Hs9evX6NWrF2Qymdr6UUW7du0wceJEUezNmzfo168f1/+mAovFbyLKnYyMvhfAU9q+Hdi/Xxzr3DnnciIiIiIiIiIiIiLKRf73v/+Jtp89e4a9e/dqKRvNa9WqFU6fPg1zc/MM27569QodO3ZEdHS0WvqWSCRYv349nJ2dRXFfX1/Mnj1bLX1kxcyZM9Ek1dKghw8fxpIlS7SUEZF2sfhNRLmXu7t428cHeP1aHGPxm4iIiIiIiIiIiAqoDh06oFatWqLYrFmztDYSOSfUq1cPp06dylQB/ObNmxg1apTa+tbX14eXlxesrKxE8enTp+PYsWNq60cVurq62LVrFywtLUXx8ePH4+rVq1rJiUibWPwmotzrp5+AwoXT3l+rFlC7ds7lQ0RERERERERERJSLSCQSTJs2TRTz9/fHvn37tJRRzqhVq1amC+Dr16/Hnj171Na3jY0N9uzZAx0dHXlMEAT89NNPeJ168FYOsbGxwfbt2yGRSOSxxMRErv9NBRKL30SUe5mYAP36pb1/7FggxYs5ERERERERERERUUHTuXNnODo6imL5ffQ3oFoBfPDgwWotTDdv3hzz588Xxb5+/QoPDw/ExMSorR9VtG7dGpMmTRLFAgMD0adPn3z/s0CUEovfRJS7TZ0KlC6tGG/SBOjePefzISIiIiIiIiIiIspFJBIJpk6dKoo9fPgQBw8e1E5COahWrVo4ceIETExM0m0XHh6OsWPHqrXv0aNHo2vXrqLY7du3MXz4cLX2o4rp06ejWbNmopiPjw8WL16spYyIch6L30SUuxUrBnh7A3Z2/8UaNwYOHwZSTCtDREREREREREREVFB16dIF1apVE8VmzJhRIEb8Ojk54d9//4Wurm667f79919cvnxZbf1KJBJs3LgRlSpVEsU3btyILVu2qK0fVSSv/516TfKJEyeq9bET5WYsfhNR7le9OvD6NfDoEfDwIXD2LFC0qLazIiIiIiIiIiIiIsoVpFKpwujv+/fvY9u2bVrKKGe1bt0a//zzT4btxo0bB0EQ1NZv4cKFsX//fhgbG4viI0aMQFBQkNr6UUXJkiWxY8cO0frfSUlJ6NmzJyIiIrSSE1FOYvGbiPIGHR2gShWgalWO+CYiIiIiIiIiIiJKpWvXrqhataooNnnyZERHR2spo5zl6emJWbNmpdvm0qVLePz4sVr7rVKlikLhPTw8HIMHD1ZroV0VrVq1UvgwRGBgIKZMmaKVfIhyEovfREREREREREREREREeZyOjg4WLlwoir179w5//fWXljLKeZMmTULHjh3TbbN//36199ujRw/07t1bFDt69Cg2b96s9r4ya9q0aWjevLkotmLFCly/fl07CRHlEBa/iYiIiIiIiIiIiIiI8oG2bdvC1dVVFJs/fz4+fPigpYxyllQqxZYtW1C6dOk02xw8eFAjfS9btgwlS5YUxX777TetTX+uo6ODDRs2wNDQUB4TBAGDBw9GQkKCVnIiygksfhMREREREREREREREeUDEokECxcuFK33HBUVhT/++EOLWeUsc3Nz7N27FzppLJ/55MkTjfRrZmaGtWvXimLfvn3DkCFDtDb9ebly5RSe+3v37mHp0qVayYcoJ7D4TURERERERERERERElE84OjqiX79+otiGDRvw8OHDDI8VBAF3797F9u3bsXnzZhw+fBiPHz9GUlKSptLViHr16mH48OFK90VHR2usGN2pUyeF6c99fX2xZcsWjfSXGaNHj0b16tVFsT/++AOvX7/WUkZEmsXiNxERERERERERERERUT4ya9YsGBkZybdlMhnGjh2b7jH+/v5wcnJCrVq10Lt3b/Tr1w+dO3dG1apVYWZmhrZt22L58uV5pmg6Y8YMWFlZKd2nyWm/ly5dihIlSohio0aNwrt37zTWZ3r09PSwbt060WwAMTEx+OWXX7Q2Ip1Ik1j8JiIiIiIiIiIiIiIiykesra0Vit3Hjh3DkSNHlLYPDw+Hq6sr7ty5o3R/REQEjh8/jpEjR6Js2bJo0qQJNm3ahMjISLXnri5FihTBnDlzFOJSqRT6+voa69fc3Bzr1q0Txb59+4YpU6ZorM+MNGjQAL/++qsodvz4cezevVtLGRFpDovfRERERERERERERERE+cyYMWMURiCPHDkSsbGxCm137dql0sjkixcvon///ihRogT69++PGzduZDtfTXByclKIyWQyjferbPrzrVu34unTpxrvOy1z586FtbW1KDZy5Eh8+fJFSxkRaQaL30RERERERERERERERPmMiYkJ/vzzT1Hs5cuXWLRokULbR48eKcScnJwUiuepRUVFYdOmTahXrx5cXFxw8uTJXDOV9sOHD9G9e3eFuJ6eXo70v2jRIhgbG8u3ZTIZpk+fniN9K1O4cGGsXLlSFAsJCcG4ceO0lBGRZrD4TURERERERERERERElA/16tULDRs2FMXmzp2LN2/eiGIp1wcHgNatW+PmzZsIDg5GcHAw9u7diz59+qBYsWJp9nX69Gm0bt0aTk5O8PLyypER1sokJCRg9erVqFevHl68eKGwP611wNXNysoKI0eOFMV2796N+/fv50j/ynTp0gWdO3cWxf755x+cO3dOSxkRqR+L30RERERERERERERERPmQVCrFqlWrIJX+Vw6KiYnB77//LmpXu3Zt0faZM2cQGhoKAChRogS6deuGzZs34/3799i/fz86duwoOmdKd+7cQffu3VG/fn2cP39ezY8obbGxsVizZg0qVKiAX3/9FTExMUrbvX//HnFxcTmS05gxY1CkSBFRbNq0aTnSd1pWrlwJExMTUWzIkCFKp8MnyotY/CYiIiIiIiIiIiIiIsqnatasiaFDh4pi+/fvx4kTJ+Tbbdq0gYGBgXw7ISEBS5cuVTiXvr4+unTpAm9vbwQFBWHu3LlpTo1+8+ZNNGvWDD/88AOeP3+ungeTSlxcHLy9veHp6YnixYvjl19+URjVnpogCIiPj9dIPqmZmZlh9OjRotihQ4e0uka6ra0t5s6dK4o9ffoUCxcu1FJGROolEXLL4gtE/y8oKAh2dnYAgMDAQNja2mo5IyIiIiIiIiJShu/hKa/hzywRFVRfvnxBpUqV5KO5AaBixYp48OAB9PX1AQCenp7Ytm2bfH/hwoXx5s0bFC1aNN1zx8bGYtu2bViwYIHSacaB7+tsjx8/HlOmTBEV2VUVFxeHGzdu4MKFC7hw4QIuXryIiIiIdI8xMDAQjfQuXbo0AgICspyDqsLDw1G2bFl8/vxZHmvdujWOHz+eYzmklpSUhIYNG+L69evyWNGiRfHmzRsULlxYa3lRwaOJv8048puIiIiIiIiIiIiIiCgfMzc3x7x580SxZ8+eYcmSJfLtSZMmQSKRyLfDw8OxbNmyDM9taGiIQYMG4cmTJ9izZw8qVaqk0CYhIQGzZ89G7dq1M7XmtSAICA4OxsmTJ/HXX3+hX79+qFOnDooUKYImTZpg0qRJOHr0aLqFb2dnZxw6dAilS5cWxevXr59h/+pUuHBhjB8/XhQ7ceIEnjx5kqN5pKSjo4O1a9eKYmFhYQoxoryIxW8iIiIiIiIiIiIiIqJ8rn///qhbt64oNnPmTPk04Q4ODujWrZto/+LFi/Hp06dMnV9HRwfdu3fHgwcPsHLlSlhYWCi0efz4MerXr4+NGzciJCQEd+/eha+vL1avXo0xY8bghx9+gKOjIwoXLgxra2u0bt0ao0ePxubNm3Hr1q1MrdXt4uICPz8/nD9/HocPH8azZ89E+zt06JCpx6NOw4YNg5WVlSi2f//+HM8jpZo1a8Ld3V0U++uvv7j2N+V5LH4TERERERERERERERHlc1KpFKtWrRKN7o6OjsbIkSPl21OmTBHtj4iIwKxZszLdhyAIiImJQatWrbBu3TqULFlSoU1sbCwGDBgAKysr1KpVCx06dMCvv/6KxYsX48CBA7h//z4iIyNVemyNGzfGsmXLEBQUhFOnTsHR0RFt27bFP//8I2pXv359/PzzzyqdWx2MjIzg4eEhimm7+A0AEyZMEG1/+PABW7du1VI2ROrBNb8p1+HaS0RERERERER5A9/DU17Dn1kiIuCXX37BmjVrRLHDhw+jU6dOAIA+ffqICqC6urp49OgRzM3NERwcnOEtOjpao/lLJBLUqFEDjRs3RpMmTdC0aVN5kT08PBwrV67E4sWL8eXLF9Fx+vr6uHPnDqpUqaLR/NLi5+eHVq1aiWIBAQEK07LntJYtW+LMmTPy7XLlyuHJkyfQ1dXVYlZUUGjibzP+5BIRERERERERERERERUQc+fOxb///ouQkBB5bPDgwfD29sanT59gY2Mjap+YmKh0He+cYGRkhKpVq6J69erym5OTE4oWLSpvIwgC7ty5Ay8vL6xZswZfv35VOI++vj62bNmitcI3ADRt2hTm5uaiovzBgwdFI++1YeLEiaLi98uXL7Fv3z707NlTi1kRZR2L30RERERERERERERERPmcIAh49+4d7t27B2tra1Hx+8OHDwrrgeckJycnlC1bFmXLlkW5cuVQrlw5lC1bFnZ2dtDR0VFoHx0djRs3bsDX1xf79u3Dq1ev0jx3yZIlsX//fjRo0ECTDyFDenp6cHNzw+bNm+Wx/fv3a7343apVKzg5OeHWrVvy2Pz589GjRw/RFPhEeQWL33mYn58fBgwYgDdv3uCPP/7A9OnT1d7Hw4cPsWzZMvj5+SE4OBhFixZF7dq1MWjQILi7u6u9PyIiIiIiIiIiIiIiyh6ZTAZ/f39cv34d9+7dw71793D//n2FqcA1qWjRorC2toa1tTVsbGzkX8eOHYuYmBh5O0tLS9y8eTPN88THx+PFixe4d+8eLl++jCtXruDevXtITEzMMIcuXbpg5cqVsLa2Vstjyq4ffvhBVPy+cOECQkNDYWFhobWcJBIJJk6cKFqT/N69ezh27BjatWuntbyIsorF7zwoIiIC48aNw9q1a6HJJdv/+ecfDBs2DElJSfD09ET9+vXx9u1brFu3Dr6+vvjpp5+wZcsWrvtARERERERERERERKRFCQkJuH37Ni5cuIALFy7g0qVL+Pz5s0b6srS0RMmSJUW3EiVKKMSMjIwAfB9x/uHDB1y7dg2+vr6IjY0VnU9PTw8xMTEIDAxEYGAg3r59i6dPn8Lf3x9PnjzBy5cvkZSUpFKOXbp0wbRp01CzZk11PWy1cHV1hYGBAeLi4gB8/948ffpUq8VvAHB3d0fFihXx7NkzeWzevHksflOexKplHpM82jswMBAuLi44deqURvo5cuQIBg8eDJlMhgMHDohGeQ8aNAjOzs7YuXMnzMzMsHLlSo3kQEREREREREREREREykVERODo0aM4ePAgjhw5gvDwcLWdu2vXrihRogRWrVolitvb2+PZs2fQ09NDQkICQkJC8PHjR3z69AkfP37E1atX5dvBwcF49uwZ3rx5k25f79+/lxfKs8Pe3h4eHh7w9PRE9erVs30+TTA0NISVlRUCAwPlsW/fvmkxo+90dHQwfvx4DBgwQB5L/hBFo0aNtJgZkepY/M5Dzpw5A1dXV5QvXx7nz59HQkKCRorfcXFx+PXXXyGTydCjRw+F6c1Lly6NuXPnol+/fvj777/Rt29f1KlTR+15EBERERERERERERHRf2JjY7F3717s2bMHp06dQnx8vMrnKFy4MKpVq4aKFSvCxsYGc+bMUWgzaNAgxMbG4unTp6I6REBAAPT19bP1GNRFKpWiRo0aaNeuHTw8PFCrVq08sUZ1kSJFRMXvsLAw7SWTQq9evfDHH38gKChIHps3bx58fHy0mBWR6lj8zkMiIyMxatQozJkzB4UKFcLZs2c10s+2bdvw9u1bAN9f4JTp2bMnRowYgYiICMyZMwcHDhzQSC5ERERERERERERERAVdQEAA1qxZgw0bNqg0nbmdnR3q1q2LGjVqwNHREY6OjjA3N8eFCxdw/vx5XL58Welxbdu2VVfqalOyZEk4OTnB2dkZzs7OqFu3LkxMTLSdlsqKFCki2s4NI78BQF9fH6NHj8Zvv/0mj/n6+mp9TXIiVbH4nYd07NgRnTp10ng/Xl5eAL7/omvSpInSNoaGhmjcuDGOHj2KY8eOITIyMk++yBARERERERERERER5VYPHz7ElClTcPjwYQiCkGF7CwsLlC5dGvb29rC3t0diYiK8vb2xf//+HMg2+4oWLQo7OzuULVsWlStXhoODg/yWumicVxUtWlS0nVtGfgPfB0ROnjwZ0dHRAL6vSX7mzBl069ZNy5kRZR6L33lITkzXkZSUhPPnzwMAqlSpku70JbVq1cLRo0cRGxuLy5cvo3Xr1hrPj4iIiIiIiIiIiIgovwsJCcEff/yBtWvXQiaTZfq40NBQhIaG4tatWxrMLmvKli2LkiVLwsrKCsWLF0fx4sVha2sLOzs7+c3U1FTbaWpc6seYW0Z+A4CxsTGaNm2KY8eOyWOnTp1i8ZvyFBa/SeTFixeIjY0F8H06lPSk3P/o0SMWv4mIiIiIiIiIiIiIskEmk2HFihX4448/clVRNC0NGzZEhQoVYGlpCXNzc5ibm6NYsWLy++bm5rC0tEShQoW0nWqucefOHdG2mZmZljJRrlWrVqLit5+fnxazIVIdi98kEhAQIL9fvHjxdNum3J/yuIwEBQWluz8wMFB+Pzg4ONPnJSIiIiIiIqKclfJ9e2JiohYzISIiytsEQcC1a9fg7Oys7VQUHDlyBBUrVkTNmjURFRUlj0+aNAlz5szRYmZ5z+vXr/H06VNRrGXLllrKRjkXFxfR9suXL/H69WuUKVNGSxkRqYbFbxKJiIiQ3zc0NEy3bcpPaqU8LiMZjShPqV69epluS0RERERERETaExISAnt7e22nQURElGd8/PgRp06dwsmTJ7FlyxaN92dqago3Nze0atUKTZs2hZ2dHfT09ERtzp49ixYtWohiO3bswI4dOzB06FAsXrxYHt+9ezdmz56dI0u25hdHjx4VbVtaWsLJyUlL2ShXo0YNWFhYIDQ0VB7z8/PDwIEDtZgVUeZJtZ0A5S4xMTHy++mt9516f3R0tMZyIiIiIiIiIiIiIiLKD549e4apU6fC0dERJUqUQK9evTRS+C5cuDB69uyJnTt3IiQkBIIgIDw8HNu3b0ffvn1RtmxZhcI3ADRv3hy9e/cWxXbu3Ak/Pz/8+OOPovirV6/w7Nkzteeen/n6+oq227ZtC6k0d5XqpFKpwuhvTn1OeQlHfqtZYmKi0hcMVW3atAl9+/bNfkIqSjmaOz4+Pt22KfcbGRlluo+U05orExsbiydPnqB48eKwtLSErm7e+DENDg6Wj1S/fv06SpYsqeWMKKv4XOYPfB7zDz6X+QOfx/yDz2X+wecyf+DzmH/k1ecyMTERISEhAIDq1atrORsiIqLc6fPnz9izZw+2bt2Ka9euqXSsVCqFg4MDnJyc4OTkhKtXr2L37t1ptndxccGQIUPQuXPnDAe4pWXhwoXw9vZGWFiYPPa///0Pd+/ehbW1Nd6/fy+Pnz17FpUqVcpSPwXNjRs3cOLECVGsffv2Wsomfa1atcKePXvk235+fpDJZLmuUE+kTN6oKlKOMTU1ld+PjY1Nt23KUeIpj8uIra1thm3Kly+f6fPlRiVLlszU46Tcj89l/sDnMf/gc5k/8HnMP/hc5h98LvMHPo/5R157LjnVORERkXJnz57F8uXL4ePjg4SEBJWO/f3339GlSxfUrFkTJiYmAIAFCxakWfju1q0bZs6cCQcHh3TPGxYWhvPnz+Pu3bsIDQ3F169fER8fDwsLC1hZWcHGxgYVKlTAqFGjMH36dPlx/v7+WLlyJZo3b46dO3fK41euXMGQIUNUemwF0ZcvX9CtWzfRz4G+vj5at26txazSlnrkd0hICB48eABHR0ctZUSUeSx+q5muri78/f2zfR5tfcI75RvWjx8/pts25X6+0SUiIiIiIiIiIiIiAs6dO4fp06fj7NmzKh/btm1b7N+/XzRLK/C98D1+/HiF9jVq1MCGDRtQt25dped7/PgxRowYoZZpq0ePHo1x48aJYi9fvsz2efM7mUwGT09PvHnzRhQfPXo0zM3NtZRV+sqUKYOyZcvi1atX8pifnx+L35QnsPitARl9sio3K1++PAwNDREbG5vh9ORBQUHy+1WrVtV0akREREREREREREREudb58+cxffp0nDlzJt12VlZW0NXVFU0fDgC1a9eGl5eXQuH71KlTSgvfI0eOxPz582FoaCiKy2QyeHl5oWfPnll8JGlbsGCBaDsgIEDtfeQ3f/75J44cOSKKNWnSBDNnztRSRpnTqlUrrFu3Tr598eJF/P7771rMiChzODk/iejo6KBp06YAvn8iLL11v2/fvg0AMDQ0RMOGDXMkPyIiIiIiIiIiIiKi3OTz58/o1q0bmjVrlmbh28DAAD169MCRI0fw/Plz6OqKxyba2trCx8dHPsV5spCQEHh6eiqc76+//sLSpUsVCt/Pnz9H48aNNVL4Viaj5VMLsqioKAwdOhSTJk0Sxa2srLB7926Fn4HcJvVAz8jISC1lQqQaFr9JQbdu3QAA8fHxuHjxotI2sbGxuHTpEoDv07CkfkEmIiIiIiIiIiIiIsrvTp48ierVq2Pfvn1K99va2mLFihX48OEDdu/ejfbt22PlypV4+/atqN2yZcuULoc6bdo0BAcHi2Lz5s3Db7/9ptD28uXLqFevHq5cuZKNR6QaiUSSY33lJTdu3ECtWrWwdu1aUVwikWDnzp2wtrbWUmaZJ5PJRNtSKUuKlDfwJ7WAiYyMRKtWrVC0aFEsW7ZMaZvevXujVKlSAIANGzYobbN3716Eh4cDgMKnloiIiIiIiIiIiIiI8rPY2Fj89ttvaN26tUJxGgBsbGywatUqvHjxAsOHD0fRokUBAIIgiKaSBoAWLVqgS5cuCud49+4dNm7cKIq1bdtWYd1t4Pva2x06dEBYWFiaOdesWROrV6/Gq1evkJSUBEEQRLf4+Hh8/foVL168wL59+zBu3DjUq1cv3e9Dbl2zWlsSExMxe/ZsODs74/nz5wr7Z8+eDRcXFy1kprqkpCTRto6OjpYyIVJN7p5TgdRux44d8PPzAwCMGTMGAwcOhLGxsaiNgYEB/v77b7i5uWH37t3o2bMn3Nzc5Pvfvn2LiRMnAgCGDRuGunXr5twDICIiIiIiIiIiIiLSoq9fv6J169a4efOmwr5ixYphxowZGDBggMKU5ABw/fp1vHnzRhT7888/lY6gXrJkiWhpUn19fWzYsEFhBK4gCOjbt2+ahe+//voLI0eOzHDkrp6eHooWLYqiRYuiXLly6Nq1K4Dvs8TWqFEDT58+VTimatWq6Z6zoIiNjYWXlxeWLFmCO3fuKOw3MjLC0qVLMXDgQC1klzUc+U15FYvfeczJkyfx8eNHAIC/v788fv/+fWzfvl2+3atXL6XHp/5lJQiC0nYdOnTA2rVrMWzYMHh4eMDT0xP169fH27dvsXbtWoSEhODHH3/E0qVLs/mIiIiIiIiIiIiIiIjyhrCwsDQL323atMGmTZuUTl+ebM+ePaLtihUrok6dOgrtBEFQaNu/f3/Y2NgotPX19U1zCdNx48YpnSJdFfr6+li+fDnatGmjsM/JySlb587r3rx5gzVr1mDDhg0IDQ1V2qZevXrYvn07KlSokMPZZQ9HflNexeJ3HjNnzhycO3dOIX7gwAEcOHBAvp1W8btXr17Yu3cvbt++jZkzZ6a7VvfAgQPRoEEDLF26FH5+fti+fTuKFi0KJycnDB48WOk0LAWZra1tmh8moLyFz2X+wOcx/+BzmT/wecw/+FzmH3wu8wc+j/kHn0siIqLcLzw8HO3atVMofBsaGmLBggUYPnx4hmtge3t7i7a7d++u9JgHDx4gKChIFBs2bJjSc/7zzz9K41KpFGPGjEk3n8xq3bq10nj9+vXVcv68RCaT4dSpU1i1ahV8fHwUBh0m09HRwZQpUzB58mTo6enlcJbZx5HflFex+J3HnD17NlvHm5qa4syZM5luX61atTTX/SYiIiIiIiIiIiIiKgiio6PRoUMHXL16VRS3sbHBsWPHUK1atQzPERMTg5cvX4pinTp1Utr2xIkTou3SpUsrnWI8ISEBx44dU3qO6tWrw9LSMsO8MiMwMFBpfOPGjXlmDevsePPmDU6fPg0/Pz+cPn1a6TrvKVWsWBGbN2+Gs7NzDmWofqlHfrP4TXkFi99ERERERERERERERETpmDJlisLU4iVLlsTp06dRsWLFTJ3j5cuXCjO9VKlSRWnblMueAkCrVq2UjhB/9OgRYmJilJ6jdOnSmcorI5GRkXBzc1O6b+fOnfj999/z3fTnnz59wunTp+UF71evXmXqOBcXFwwbNgydOnWCrm7eLsGlHvnNac8pr8jbVx4REREREREREREREZEG3bx5E8uWLRPFrKys4Ofnl+nCNwA8e/ZMtG1tbZ3m0qQvXrwQbVeqVElpu/SKss+ePUNSUlK2ipafPn1Cx44dcffu3TTbjB07Fn5+fhlO+Z4bJSYm4uXLl/D398fjx4/h7++PO3fu4NGjR5k+h6mpKfr06YNff/0VlStX1mC2OSssLEy0zZHflFew+E1ERERERERERERERKREYmIiBg0aJBoFa2BggJMnT6pc6Hzz5o1ou3z58mm2DQgIEG2XK1dOabtPnz6leY4nT57A2toaffr0wdixY1WeAv3KlSv4+eef8fr163TbnTlzBkePHkX79u1VOn9OEQQBERER8iJ3ytvz58+RkJCQpfNWrVoVw4YNQ69evWBqaqrmrLUrMTER+/btE8XS+hkkym1Y/CYiIiIiIiIiIiIiIlJi2bJlCqOep06diho1aqh8rtRrKBsZGaXZNjo6WrRtZmamtF1cXFy6fX769AkLFy7E+vXrsW3bNnTs2DHDPCMjIzFnzhwsWLBAYerrYsWK4fTp0+jYsaNoHfBx48ahdevWOTrVd1JSEkJCQhAcHIwPHz6IvqaOpf5+ZkWxYsXQokULuLi4oGXLlqhQoUKeHO2eGSdOnFBY17xnz55ayoZINSx+ExERERERERERERERpRIfH4958+aJYlWrVsXYsWM13nfq0cj6+vpK2xkYGGTqfGFhYXB3d8e5c+fQqFEjpW0SExOxZcsWTJ06VaHwCXxfQ/zYsWNwcHDA7Nmz0adPH/m+R48eYcuWLRgwYIA8JggCkpKSEBcXh/j4eKVfk+9HRUUhIiIC4eHhCA8Pl99PLxYWFqZQnFcnExMTNGvWDC1btoSLiwuqV69eYKb+3rRpk2i7Tp06qFatmpayIVINi99ERERERERERERERESpHD16FJ8/fxbF1q1bB5lMhq9fvyI6OhoxMTHyrynvx8XFISEhAYmJifLb0qVLRec6duwYJk+ejMTERIW23759E7Xt27cv6tevD5lMBkEQIJPJIJPJFKamTk9SUhIaN26Mpk2bis4TFRWF+/fvZ3h8WFgYOnfuDJlMhsTERIX9AwcOxOjRoyEIgry4LQhCpvPTpuLFi6Ny5crym5OTE+rWrQs9PT1tp5bjPn/+jMOHD4ti/fr101I2RKqTCHnlNw8RERERERERERFRNgQFBcHOzg4AEBgYCFtbWy1nREQ5KSkpCd++fcPXr1/x5csXfPnyRX5f2dfz588rnEMikeSZgi4psre3FxW5k2/m5ubaTi3XWLFiBUaMGCHfNjAwQHBwcJpT7xNlhyb+NuPIbyIiIiIiIiIiIiIiyrOSkpLw8eNHvH37FoGBgQgMDJTfDwoKQmhoKL58+YJv375lu3DNwnfuI5VKYWVlhZIlS6JkyZIoUaKE6GvK+4UKFdJ2urle6inP3d3dWfimPKVgLE5ApILQ0FBMnToV1apVg4mJCczNzeHs7Izly5cjPj5ebf34+vrCzc0NNjY2MDQ0RJkyZdCvXz/cvn1bbX0UVKGhoVi9ejXc3d1RunRpGBoawsjICGXKlEGPHj3g7e2d7T9Sz549C4lEkqnbokWL1PTICpbmzZtn6vtrYmKilv54Tapf3759M32dJN/c3d1V7ofXo3oJgoCVK1fCxMQEEokEZ8+eVen4y5cv46effkKpUqVgaGgIOzs7dO/eXeXzZCQqKgoLFiyAk5MTihYtiiJFiqBWrVqYM2cOwsPD1dpXXpXV5/L27duYMGECGjduDAsLC+jp6cHMzAxOTk4YM2YMnj9/rpb8VPkdERoaqpY+86KsPI8BAQGZ/t4OHz5cLXnymsxYVp5LVV9HJRIJDh48mKX8eE2mT53vMfhaSUREpDqZTIZXr17Bx8cHf//9NyZMmICff/4ZTZs2hb29PQwNDWFjYwNnZ2d0794do0ePxrJly7B//35cv34dr169QlhYGAvXuYyenp78f/C2traoUqUK6tevD1dXV3Tt2hV9+/bFiBEjMHnyZPz5559YvXo1tm/fjsOHD+PMmTO4c+cOgoODER8fj+DgYNy+fRtHjhzBP//8g9mzZ2P48OHo2rUrGjZsiLJly7LwnQmXLl3CnTt3RDFOeU55DUd+E6Vw/fp1uLu7Izg4GK6urvjll18QExODLVu2YOTIkdi8eTN8fHxgbW2d5T5kMhmGDh2K9evXw9zcHIMHD0aZMmVw8+ZNbNmyBdu3b8fixYtF04pQ5o0ZMwarVq1CbGwsLC0t8fPPP6NChQoQBAFnzpzBvn37sHfvXrRs2RJeXl6czoZ4TeYyxYsX13YKBdrLly/Rv39/pdO6ZcbMmTMxY8YMGBoaYuDAgahWrRr8/f2xfv16eHl5YezYsViwYEG283zx4gU6duyIp0+fom7dupg+fTqkUin27NmDKVOm4J9//oG3tzeqVq2a7b7yqqw8lwEBAejduzcuXrwIAGjUqBGGDx8OOzs7fPjwAbt27cLixYuxfPlyzJ07F2PGjNFU+vT/sntN5hRekxnLyeeSr6Xqp873GHytJCIiylh4eDju378vuj148ACRkZHaTi1NEokEhQoVgpGRkfyrgYEB9PT0oKurK//6/v17PHv2THSsq6srSpYsCV1dXXlbHR0dLF++XKGfiRMnQiKRQCqVQiKR4MyZM/L3cOrSr18/NG/eHFKpVN5P6vupY506dVI4z9WrV1GoUCHo6+vDwMBA/jX5vr6+PiQSiVpzp+x59eoVfvjhB1HM1tYWrVq10lJGRFkkEJEgCILw5s0bwdLSUgAgjBo1SrQvNjZWaNGihQBAcHJyEmJjY7Pcz/jx4wUAgoWFhfD8+XPRvqNHjwpSqVSQSCTC3r17s9xHQVa8eHEBgNCsWTMhLCxMYb+3t7ego6MjABAaNmwoJCUlZamfM2fOCACELVu2CP7+/unePn/+nN2HVSA1a9ZMqFu3bobf36dPn2arH16TmtOnTx8BQIbPob+/v1C6dGkBgHD58mWV++H1mH0ymUxYsWKFYGxsLBQuXFho0KCBAEAAIJw5cyZT51i9erUAQDA0NBSuXr0q2nf79m3B2NhYACAsXLgwW7mGhYUJFStWFAAIXbt2FRITE0WP4+effxYACKVLlxZCQkKy1VdelJ3n8ujRo/K2S5cuVdifmJgo/PTTT/I2a9asyVauffr0EaytrTP1OyLl81wQZPeafP36tQBAmDt3bobf2w8fPmQrV16T6cvucwlAcHd3z/B53LFjhwBAqFSpUpZz5TWZNnW9x+BrJVHuEBgYKP9dHBgYqO10iAo0mUwmPH36VNi7d68wZcoUwc3NTbC3t5dfo5q+6evrCyVKlBCqVKkiNGrUSOjUqZPg6ekpjBo1Spg5c6ZC+8aNGwtXr14V7t+/Lzx//lwICgoSvnz5IsTExAgymSxTjzkhIUGQSqWi8165ckVp22nTponatW/fXr4vKChI6NKli1q+D1ZWVsKECROEFy9eZPm59Pb2Vjjv7t27s3w+ynmfPn0SKlSooPA8zp49W9upUT6nib/NWPwm+n/du3cXAAilSpVSWtx+8eKF/B8aixYtylIfDx8+lP9xs3r1aqVtkotFxYsXFyIjI7PUT0FWvHhxQVdXV3jz5k2abYYMGSL/Zbpr164s9ZNcbMtsUYhU16xZM6FZs2Ya7YPXpGYlf+8ycunSJQGAUL169Sz1w+sx+/744w8BgNCmTRvh7du38u3Mfl8/ffokmJiYCACE8ePHp9uHoaFhtv6QHTdunABAMDExET59+qSw/8uXL0LRokUFAMLw4cOz3E9elZ3nMrn47erqmmabyMhIoVixYgIAoWjRokJMTEyWc+3Tp49QunTpLB+fn2X3mkwufm/atEnjufKaTF92n0sAQp8+fTJsN2jQIAGAsHjx4iznymsybep4j8HXSqLcg8VvIu36+PGjsH37dqF3795CiRIlNFLQLlu2rNCsWTOhd+/ewqRJk4TVq1cLBw4cEM6dOyfcv39fCAoKEqKiojIsWCd/mCz5tmXLFrV8DypXriw676pVq5S227p1q6hd+fLlBUH4/n8QKyurbH2fihQpIvTt21c4cuSIEBcXl+3HJJPJhJo1a4r6qFatWpYHHlHOioyMFOrVq6fwc9KyZctsDQQkygxN/G3GNb+JADx//hxeXl4AAE9PTxgYGCi0KVeuHFq0aAEA+PPPP5GYmKhyP/PmzYNMJkOhQoXw888/K20zaNAgAMDHjx+xYcMGlfsgoGbNmihVqlSa+7t27Sq/7+3tnRMpUS7Fa1KzHBwc0KxZswzbrVu3DgAwePBgTadEaRAEARs2bMCxY8dgZ2en8vHLli2TTz83cOBApW0GDhwIiUSC2NhYLF68OEt5RkREYMWKFQAAd3d3WFpaKrQxMzODh4cHAGDt2rUFbl3a7D6XANC5c+c09xkbG6NNmzYAgLCwMFy4cCFLfVD61PE85gRekxnL7nPZrFkzODg4pNsmMjISu3btgoGBAfr06ZPVVCkD2X2PwddKIiIqqOLj43H27FlMnDgRTk5OKF68OHr16oVt27bhw4cPKp/P3Nwc9evXh4eHB37//XcsWbIE+/btw/Xr1xEcHIyYmBi8fPkSZ8+exdatWzFnzhwMHToU7u7uaNq0KapXrw4bGxsYGRmlO+V2YmIiXr16JYpVqFBB5XyVcXJyEm3fvHlTabtKlSqJtl++fAkvLy+0aNECnz59UrnfIkWKoE+fPjhy5Ag+ffqETZs2oX379tDX11f5XKlJJBJMmTJFFHv48CEOHTqU7XOTZiUmJqJnz564fv26KF6jRg3s379faa2EKLfjmt9EAPbt2wdBEAAg3fUrXF1dcerUKYSEhODs2bMqrXURFxcn/ydI/fr1YWpqqrSds7MzTExMEBkZCS8vL4wcOVKFR0K7du1CsWLF0m1TunRp+f23b99qOiXKpXhNat6ECRMwYcKEdNt8+/YNXl5eMDIyQu/evXMoM0pt+vTp2Vpna9++fQAAe3t7lC9fXmkbW1tbODg4wN/fH/v27cNff/2lcp8+Pj6IiYkBkPHr9YYNG5CQkICDBw+mWWTIj7LzXNapUwdHjx5F3bp1023H11HNy+41mVN4TWYsu8/l2bNnM2yzc+dOREZG4qeffsrw72DKGnW8x+BrJRERFSSvXr2Cr68vjh8/jjNnziAqKkrlc+jq6qJy5cqoUaOG6FayZMkc+Vv53bt3CoOf0noNV1WdOnWwfft2+XZaxe9q1apBKpVCJpMB+P7Byu7du6vc35AhQ+Dm5gYXFxeNFjK7dOmCqlWr4tGjR/LYsmXL0KVLF431SdkjCAJ++eUX+Pj4iOKlSpXC0aNHUaRIES1lRpQ9HPlNBOD06dPy+zVr1kyzXa1atZQekxk3b95EeHh4hn1IpVLUqFEDAHDlyhX5Py4oc1q0aCH//qUlLCxMft/Y2FhtfcfHx/P50rCIiAj5H/zZxWsyd9i2bRuio6PRo0cPtf5BzetRNdn5x8G7d+/w9OlTAOlfS8B/r6NBQUF4/vy5yn3lxOt1Xped59LCwgJt27bNsMCjqddR4PsI1qSkJLWeMy/SxD/zEhMTs/RPx/TwmsxYTvxjNnkGlSFDhqj93Lwmv8vuewy+VhYMO3fuVPvvWSKivCQpKQmHDh1C69atUa5cOfzvf/+Dj49Ppn43Fi9eHK1bt8aYMWOwdetW3L17F1FRUbh//z62b9+OcePGoW3btrC2ts6xD4kq+/+TkZGRWs5dp04d0fajR4/kM8Sk9O7du2z/H8zZ2Rlr1qxB+/btNT6CVyqVYuLEiaLYuXPn8OTJE432S1mTmJiICRMmKMx0aWZmhmPHjsHa2lpLmRFlH4vfRPg+BQsAmJqaplt8STlVYcpPsKnSR+rzpNePTCbjHwca8Pr1a/n9pk2bZutcly9fRufOnWFtbQ1DQ0MYGRmhaNGi6NChAw4cOCCfUYCyJjo6GjNnzkSNGjVgbGyMwoULQ09PD1WqVMHYsWPx/v37LJ+b12TusH79egDqmfKc16N2ZOVaAlR/HVWlr+z2Q+lLfh2VSCRo1KhRts6VmJiIZcuWoW7duihSpAhMTU2hp6eHsmXL4pdffslS4Yf+8+jRI/z0008oVaoUDA0NYWJiAmNjY7i4uGDTpk1ZWsYnJV6T2nfnzh3cunULDg4O2f67FuA1mR3pvcfga2XBIJVKUaFCBQwePBjXrl3TdjpERDkmNDQU8+fPR7ly5eDu7o6TJ09meIyJiQnc3NywcuVKPH/+HB8+fMDx48excOFC9O7dG46OjmqZijs7lBWK4+Li1HLumjVrQlf3v0l5ZTKZfEmpqKgobN68GU2bNkXFihWz3VflypWzfQ5VdOvWTWHZleQPa1LuceXKFTg5OWHBggWiuKGhIby9vXP854ZI3Vj8pgIvLi5Ovr5M8eLF022bcn9AQIBK/aRsr8l+KGMHDhwA8P3FvG/fvtk61+TJk/Hu3TtMmDAB3t7e2LVrF7p06YLjx4/jhx9+gJubGyIiItSQdcF048YNzJs3D02aNMGmTZvg4+ODBQsWICkpCYsWLYKDgwMOHz6cpXPzmtS+q1ev4v79+6hRowYaNGiQ7fPxetSOnLyWko/R1dWFubl5mu0MDQ1RuHDhLPdDafv27Zt8GuZOnTplez3qd+/eYfTo0ahSpQr+/vtvHDlyBCtWrECxYsWwZs0aVK1aFWvXrlVD5gXTokWLcOvWLQwfPhwHDhyAl5cXBgwYgMuXL6N///5o0qQJgoODs3x+XpPal3x9qONDZACvyexI7z0GXyvzjsuXL+O3335Dp06d4ObmhgkTJuDixYuZOrZnz55YtWoVNmzYgIYNG2Y4WwARUV5348YN9O3bF7a2tpg4cSLevHmTbnsnJydMnDgRZ8+exefPn3Ho0CEMGzZMbVOJq5uy4ru6it/GxsZwdnYWxTZt2oTx48fD1tYW/fr1kxfD09O7d2/s378fCxcuTLNNRstaqZu+vj769esnim3ZsgWxsbE5mgcp9/nzZwwaNAgNGzbE/fv3RfukUil27dqV7Q+5E+UGXPObCryUhRBDQ8N02xYqVEjpcbmpH0rfp0+fcOjQIQDAmDFjsj19y4gRI7BkyRJIpf99lqhnz57o2bMnOnbsCB8fH/z000/ytaVJNVZWVjhz5gyqVKkij3Xo0AHDhw9Hp06dcPLkSXTr1g1nzpxBw4YNVTo3r0ntS/7kr7r+Yc/rUTty8lpKPiajfpL7Cg8PR2RkJARByBPrJ+cFyf+00NfXx/z587N9PiMjIxw9elRhlOQvv/yC/v37Y8uWLRg6dCjMzc3RrVu3bPdX0HTt2hU7duwQjVrx8PBAv3790Lx5c1y9ehWdOnXCpUuXsjQFIq9J7YqKisLOnTthYGAAT09PtZyT12TWZPQeg6+VuV98fDz69++PXbt2ieJHjhzBwoUL4ejoiEWLFqFly5bpnqdLly4wMzPD169fOaKeiPIlQRCwd+9e/PXXX7h+/Xq6bc3NzdGxY0e0adMGrq6uCqOBcztNjvwGgFatWokK3F5eXiodf+fOHdSsWRPBwcEYOHBgmu1cXV2znGNWDRo0SDSi+MuXL9i3bx969eqV47nQdzKZDFu2bMG4ceMQGhqqsF8ikeDvv/+Gu7t7zidHpAEc+U0FXso1YTOaTifl/ujo6FzZD6Vv7NixiI2NRe3atTFlypQsn6dBgwYICAjA0qVLRYW2ZG3atMHQoUMBAD4+PvJ/hlHm7d69G0+ePBEVvpMZGBhg8+bNMDAwQHx8PIYPH67y+XlNald4eDj27NkDIyOjbL/54fWoXTl5LSX3lZnp75LbyGQytf6DoiD79OkTZs2aBQCYM2dOtqdBW7RoEQICApRO1SyVSrFq1Sr5CMiRI0dypIAKbG1t8fr1a+zatUvpP+1q1aqFadOmAQBu3bqFNWvWZKkfXpPatWvXLkRERMDDwwPFihXL9vl4TWZdRu8x+FqZ+/Xq1Qs7d+6UL5MjCILodvfuXbi6umLo0KEZ/uznteIOEVFmBQQEoE2bNujZs2e6hW8nJyds2rQJQUFB2LJlC3766ac8+btR2d/R6vyfUNWqVTPVLq0lOmvWrInw8HB07doVX758UdqmRo0aKFeuXJZzzKry5cujVatWohhnD9Kehw8folmzZujfv7/Swnf16tVx4cIFDBkyRAvZEWkGi99U4KX8ZH18fHy6bVPuNzIyypX9UNq2b9+OrVu3wsrKCv/++2+WRjglMzQ0ROnSpdMdHTFgwAD5/Y0bN2a5r4KqRIkSMDMzS3O/tbU12rZtC+D7p13v3Lmj0vl5TWrX9u3bER0djR49eqT5Ri6zeD1qV05eS8l9ZdRPyjZSqTRbv+/pu6SkJHh6eiI0NBQ9e/bE6NGjs31OCwuLdP8JZmxsjJ49ewIAgoODcfTo0Wz3WVDo6urC3t4eenp6abbp16+f/PdmVn8v8prULnXPoMJrMmsy8x6Dr5W529GjR7Fv3z5IJBJIJBLo6OjA09MT27dvx8mTJ3HgwAHMnj0bzs7OWLduHZo1a4aPHz+meb6CPIKeiPInmUyGFStWoFq1ammu562vr4/evXvj6tWr8unQU77+5UX6+voKHzB88eJFts+blJSEVatWZThzT9u2bbFv3z48f/5cYV+lSpXw8eNHtG3bFleuXEnzHL/88ku2882q1IXUixcv4vHjx1rKpmD68OEDxo0bh1q1aildxsXY2BiLFy/GrVu3ONU55TssflOBZ2pqKr+f0Se4U35iP+VxuakfUu78+fMYNGgQChcuDF9fX9jb22u8z+rVq8v/iXT58mWN91cQ1alTR35f1e8xr0ntSv6HfU59qpTXo+bk5LWUfExmRhsm92ViYsJ/QqvBiBEjcPz4cbi4uGDz5s059j3Nzu95Sp+5uTnKli0LAHjw4AEiIyNVPgevSe25e/cubty4AQcHB6UjtTWF16RYZt9j8LUyd9uwYQOA76O9jY2Nce7cOWzevBk//fQTXFxc0LlzZ0yaNAkXL17EnTt3ULhwYTRq1Ahv377VcuZERJr39OlTNG3aFCNGjEBUVJTCfjs7O8ydOxeBgYHYunUr6tevn69eU1LPRujv75+t8wUEBKBx48YYPnx4mqPIhw0bhqdPn+Lo0aPo2rUrrl69qtDm6dOnqFmzZrqFb+D7muDa0rlzZ/msQcmSX3NJc6KiorB9+3a0bdsWNjY2WLhwIRITExXade3aFU+ePMHvv/+e7oemifIqFr+pwDMwMECJEiUAIN1Pb6fer2rxNGV7TfZDiq5fv45OnTpBX18fx48fh5OTU470q6OjA3NzcwDA58+flf6hQdljZWUlv//hwweVjuU1qT3Xrl3DvXv34OjoiPr16+dIn7weNScnr6XkYxITE9Oc1g34/g//8PDwLPdDYhMnTsTff/+NFi1a4NChQzk6OjA7v+cpY8nfX0EQMrx+leE1qT3J00bm9NSEvCb/o8p7DL5W5m7Xrl0D8H3E9ty5c+Hs7JxmW0dHR5w8eRJjxoyBq6srXr16lVNpEhHlqMTERMyfPx+Ojo64dOmSwn4bGxvs2bMHr169wsSJE0V/I+QnqZd6yk7x28fHB7Vr11ZazE5p3rx5qFixonz73LlzSttl9LfYpEmTYGxsrHqiaqKnp4d+/fqJYocOHZIvMULqk5SUhBMnTsDT0xPFixdH7969cfz4cchkMoW2ZcqUwZEjR7Bv3z7Y2tpqIVuinMHiNxGAatWqAQAiIiLw7du3NNsFBQXJ72d2XZbUfQBAYGBgum2T+5FKpXBwcFCpHxK7desW2rRpA0EQcPz4cTRo0CBH+0/+I0MikShdi5iyJ+UfcTo6Oiody2tSe9Q9TWtm8XrUjKxcS4Dqr6Oq9JXdfug/U6dOxfz589GsWTP4+Pjk+D9PsvN7njKW3e8vr0ntiIqKws6dO2FoaJjhdJnqxmvyO1XfY/C1MncLCQkB8P1v/T59+mTqmKFDh2Lz5s3o2rUrnj59qsn0tCY0NBRTp05FtWrVYGJiAnNzczg7O2P58uWZmlY/s3x9feHm5gYbGxsYGhqiTJky6NevH27fvq22PohINSEhIWjUqBEmTpyIuLg4hf2DBw/Go0eP0L17d+jq6mohw5yjrpHfK1euRKdOnfD169cM26ZeWubs2bNZ6nPWrFlZOk6dunfvLtp+9eqV0mncSXWCIODu3bsYPXo07Ozs0KZNG2zbtk3pDA3A9w8jTJkyBY8ePUL79u1zOFuinMf//BIBaNmypfz+3bt302yX8s1XymMyo06dOvIp6NLrQyaT4d69ewAAZ2fnPL8+jjbduXMHrq6uSExMxLFjx9RW+P727Rtmz56d5icvkyUkJMhHW1hZWbHYpgJvb2/Mnj07w0+DpvyUa8mSJVXqg9ekdoSHh2PPnj0wMjJCr169sn0+Xo/aZ2NjI/9UenrXEvDf66itrS0qVKigcl858XpN/5k+fTpmz56NJk2a4MiRI1laezYt58+fx+zZszP85092fs8XZLNnz8ahQ4cybJf8/ZVKpVkarcNrUjt2796N8PBweHh4yGc1yS5ek5mXlfcYfK3M3ZI/2GVtba3SVPPOzs7YtWsXfvrpJzx69EhT6WnF9evXUaNGDcyePRvW1tb4888/MWnSJERGRmLkyJFo0KAB3r9/n60+ZDIZBg8ejA4dOuDSpUvw9PTE8uXL4erqip07d6J+/fpYvny5mh4REWVWeHg42rZti+vXryvsK1u2LE6fPo21a9eiSJEiWsgu56Ue+f348WOlo2nT8+eff+J///ufQrxcuXI4ffo02rRpI4rv379ffv/z58+4deuWSv0BQPv27XPF/z1q1qyp8DfjkSNHtJRN3peUlIQHDx7gzz//RI0aNVCrVi389ddfCA4OTvMYExMT9OnTBw8ePMCsWbP4f00qMLT/G5AoF/Dw8JCvR+Pn55dmu1OnTgEALCws0Lx5c5X6MDAwgJubG4Dv06qlta7i1atX5fu6deumUh/0n/v378PV1RXx8fE4evQoGjZsqNBmxowZonULM+vr16+YOnUqdu3alW67W7duISEhAQDQuHFjlfspyP79919MnTo1w2khU04Vper3mNekduzYsQNRUVHo2bMnChcunO3z8XrMHZKvjYCAgDSn/3z37h2ePHkCQPy6q4qOHTvK36hl5vVaT08PnTt3VrkfAubMmYMZM2agUaNG8PX1VTriu06dOpgxY0aWzn/69GlMnTo1w9Fy2fk9X5BNnToVq1evTrdNcHAw3rx5AwCoXbt2lj7cwGtSOzQxgwqvyczJznsMvlbmXskfMsjKsjgODg7Yu3cvevfuneEHG/KKt2/fomPHjggODsaoUaNw4sQJDBs2DGPGjMHNmzfRokUL3LlzB25ubkpHhGbWpEmTsH79elhYWODatWuYN28eBg8ejHXr1uHQoUOQyWQYNWoUvLy81PjoiCg9MTExcHNzU5h5QSKR4LfffsP9+/fRokULLWWnHSlnVAGAyMhIlX7f//PPP5gwYYJCvFu3brh9+zZatGiBLl26iPYdOXIEMTEx2Lt3LywsLLKU9/Dhw7N0nLpJJBKFUca+vr5ayibvCQ4OxsGDBzFx4kS0bNkSRYsWRY0aNTBhwgQ8fPgwzeN0dHTQrl077NixAx8+fMDmzZtRqVKlHMycKBcQiEgQBEHo3r27AECwt7cX4uLiFPa/fPlS0NHREQAICxcuVNj/4MEDoUKFCoKNjY1w7tw5pX08ePBAkEqlAgBh7dq1Stv069dPACAUL15ciIyMzN6DKqAePHggWFhYCEZGRmk+F4IgCH369BGU/RrM6Ll8/fq1AEAoU6aMkJiYmOb5PT09BQACAOHEiRNZezAFVPJzs3HjxjTbPHv2TH5NNmzYUGE/r8ncqVatWgIA4dq1a5lqz+tRO/744w/59+vMmTMZtv/48aNgYmIiABAmTpyotM2MGTMEAIKhoaEQGBiotM3ixYuFwoULC66urkJUVJTSNuPGjRMACKampkJoaKjC/rCwMMHMzEwAIAwbNizD3PM7VZ9LQRCE+fPnCwAEZ2dnITw8PM12AIQ+ffoo3ZfRc5mc17Rp09I8/+fPn+XPZenSpYX4+PhM5Z8fqfo8Jl8j3759S7PNtGnT5Odct26d0ja8JtUvK9dkSvfu3RMACJUrV1bpOF6T2Zfd9xh8rcy9Zs6cKUgkEkEqlWb57/1Xr14JtWrVEq5duyY4ODjIz5cXJf9vpFSpUkJsbKzC/hcvXsjfhy1atChLfTx8+FD+Pmz16tVK2yRfS5p4HxYYGCj/XZzWtUZU0MTHxwudOnWSXxvJt1KlSgmXL1/WWL8ymUxITEwUEhIShLi4OCE2NlaIjo4WoqKihIiICCE8PFz49u2bEBkZKcTHxwsymUxjuaSlYsWKou/J/PnzM3Xc5cuXBX19fYXv6axZs0SPIzg4WJBIJArtsnpzcHAQkpKSNPXtUNm///4ryk9PT0+IiIjQdlq5TlRUlHD+/Hlh4cKFgoeHh2BnZ6fyc+/k5CQsWbJE+PDhg7YfDpFKNPG3GYvfRP/vzZs3gqWlpQBAGD16tGhfbGys4OLiIn8RiYmJUTi+Z8+e8gvU2dk5zX7Gjx8vABAsLS2Fly9fivYdP35c/gZw79696nlgBcyjR48EKysr+T/vzpw5k+atTZs2Sv8xldFzmVxsAyD8/vvvSv/w3rx5s/wP1x9//FEjjzU/S/mPjqdPnyrs//z5s+Dk5CQAEIyMjITbt28rtOE1mftcv35dACA4Ojpm+hhej9qRleLM6tWr5f+wv379umjf3bt3BWNj4zQ/QCYIghAZGSno6urK+03rAylhYWHyfz5069ZN9KZeJpMJvXv3lhdmQkJCMveA8zFVn8tFixbJfyceOnQo3dfRtIrfmXkuk/MyNjYWLl26pLA/OjpaaN++vQBAkEqlgq+vb1Yefr6RleI3AKFHjx5KP9R5/PhxwcDAQAAgNG3aVEhISFBow2tSM7Jb/P71118FAMKSJUsyfQyvyexTx3sMQeBrZW4VFhYmWFlZCVKpNM3vfWa8fv1acHR0FMzMzPJs8fvZs2fyv5unTJmSZrtWrVrJ/15Q9hqSkZ9//lkAIBQqVCjND9pdvHhR/rO+dOlSlftID4vfRGJJSUlCr169lBbTli9fLuzdu1fYuHGjsHz5cmHu3LnC5MmThZEjRwoDBgwQevToIXTo0EFo1qyZ4OTkJFSqVEmwsbERihQpIhgbGwtGRkaCoaGhYGBgIOjp6Qm6urqCVCrNVrFXV1dXMDIyEooUKSJYWFgI1tbWQunSpYXy5csLlStXFhwdHYU6deoIzs7OQrNmzYRWrVoJ7dq1Ezp37ix4eHgIP/74o9CvXz9h2LBhwrhx44Tp06cLCxYsEFatWiVs2rRJ2LNnj+Dj4yOcPn1auHr1qtC0aVNR/y1atMjwexoZGSmUKlVKIfe0/oZr1KhRlr8fqW/btm1T809I9nz79k3Q09MT5Xjw4EFtp6U1iYmJQmBgoHDx4kVh48aNwpAhQ4SaNWvKP1im6q1UqVLCpEmThMePH2v7oRFlmSb+NtMFEQEASpUqBW9vb3Tp0gWLFy/Gw4cP4ebmhpiYGGzZsgUPHjxAzZo1cfjwYRgaGiocn3K9FyGddYrnzp2Lz58/Y8OGDahXrx6GDBkCe3t73Lp1C5s2bYJUKsVff/3F6ZWzIDY2Fi4uLvj06RMAYObMmZg5c6bK58nouTQxMUG5cuXw8uVL/PXXXzh9+jS6du0KW1tbfP36FUePHsXJkycBAH379s1w2lFSVKVKFejp6eHjx4+oWbMmevbsibp160JfXx/+/v7YunUrQkJCULx4cezZswe1atVSOAevydwneZrWIUOGZPoYXo85Z/v27fL79+/fl98/efIkgoKCAADFixeHq6ur0uOHDh2Kjx8/YubMmWjRogUGDhyIqlWr4smTJ1i/fj2ioqIwZswYjBkzRunxwvcPZYq2lSlSpAiOHDmCDh06wMvLC2/fvsWPP/4IiUSCvXv34tKlSyhTpgy8vb2zPEVcXpfV5/LgwYPy5yckJCTL0+Bm5rmsUKECjIyMEBUVhWbNmuGHH35AkyZNYGxsjJcvX2L79u148+YNTE1NsXHjRrRr1y5LueRl2bkmHR0dce/ePezZswe3bt1Cz549UbZsWURFReHs2bPYv38/BEGQT4Wnq6v4tpDXpPpk9/drsujoaOzYsQOGhobw9PTMdP+8JrNHXe8xAL5W5lZFihTBgQMH0K5dO8ycORNOTk5ZmtbX3t4ehw8fRosWLRAWFqb+RHPAvn375D9XrVq1SrOdq6srTp06hZCQEJw9ezbdtqnFxcXB29sbAFC/fv0011l3dnaGiYkJIiMj4eXlhZEjR6rwSIgoNUEQEBYWhnfv3iEoKEj+NSgoCBs2bEjzuBEjRuRglpmTmJiYpaUq1OXMmTOQSCQwMzODkZERjI2NRV+NjIxw6NAhheMkEgkKFSqEbdu2idpGRUXh0qVLasmtSZMm+Pnnn9VyLnUpXLgwmjRpgtOnT8tjvr6++XbZlfj4eAQGBiIgIABv3rxRuAUGBmb757d06dJwdXVFr1690KRJk1yxvjtRrqOWEjpRPhISEiJMnjxZqFKlimBsbCwULVpUqFevnrB06VKlI2eS3bt3Tyhfvny6UyyndOTIEaFjx45CiRIlBAMDA6F06dKCp6encOvWLXU+nALl69evWfqEXGqZeS5lMpng5+cnjBo1SmjQoIFQrFgxQVdXVzAxMREqVaokDBw4ULhy5YqmH3K+FhwcLKxatUpwd3cXypUrJxgZGQl6enqClZWV4OLiIixZsiTd6Xh5TeYu4eHhgomJiWBsbJzuNLyp8XrMOZn5fdmsWbMMz3Pp0iWhR48ego2NjaCvry9YW1sLXbt2FU6fPp3hsQsWLJBP5ZrR9JaRkZHC/PnzhVq1agmmpqaCqamp4OjoKMyaNUuln7H8KKvP5ZIlS1R+DU1r2vPMPJdfv34VNm3aJPTo0UNwcHAQTExMBF1dXcHCwkJo1KiRMGvWLOHTp09q/M7kLdm9Jq9evSpMmDBBaNKkiWBlZSXo6ekJRkZGQtmyZYWff/5ZOHbsWIY58JpUD3X9ft24caMAQOjVq5fKOfCazDp1vcdIia+VudOTJ0+Epk2bCrq6usKIESOy/PMeGBgolC9fPk+O/E4e0Q1ACAsLS7PdiRMn5O3SmsY/LSlHdI8aNSrdtg0bNhSA7zNOREdHq9RPejjym/IrmUwmvHz5Uti7d68wefJkoXfv3kKLFi2EihUrCkZGRll6PeMtb92GDRsmrF+/XtixY4dw8OBB4cSJE8LFixeFO3fuCE+fPhWCgoKEL1++CLGxsTk6hfzChQtFeTo5OeVY39klk8mE6OhoITg4WHjy5Ilw7do14cSJE4KXl5fw999/C+PHjxd69uwpODs7C9bW1mqdwh74voyNi4uLMGnSJOHQoUNCcHCwtr8lRGqnib/NJIKQznA4IiIiIiIiIiKiAuL8+fPYvn07rl+/jmvXrsHAwEDlc7x79w4tW7bE06dPNZCh5pQsWRIfPnyAqakpwsPD02z35MkTVK5cGQDg5uamdIRjWtauXYuhQ4cCABYvXozff/89zbY9e/bEnj17AAC3b99WOuNXVgQFBcHOzg4AEBgYCFtbW7WclygnCYKAt2/f4ubNm7h16xZu3ryJmzdv4uvXr9pOjfIIqVSKQoUKwdDQEIaGhqL7acUy08bAwAC6urrQ0dGRfz1z5gymTp0q6v/p06fQ1dVVaKvsq0QikY/4T0pKkt/P6i06Ohrfvn2T38LDw0XbqW8JCQk59pxUr14d9evXl98cHBygo6OTI/0TaYsm/jbjtOdERERERERERFQgXLlyBTExMWjRogUkEonC/qZNm6Jp06bZ6sPGxibPFb7j4uLw4cMHAN+XYkhPyv0BAQEq9ZOyvar9ZLb4nbykRFqCg4MzdR6i3EIQBLx7905e4E4udoeGhmqsTx0dHZiamsLExCTTN2NjY9F9fX19SKVSSCQSSCQS+f3UX9Pblzydc1JSEuLj45GQkICEhIRs34+NjUV0dDSio6MRFRWV7v2YmBiNoXXfigAA/ghJREFUfZ+1SSaTISoqClFRUVrpv1KlSlrpN7cwMDBA6dKlRcVuJycnGBsbazs1onyBxW8iIiIiIiIiIsr3Ro4ciZUrVwIAOnXqhIMHD2o3oVwkIiJCft/Q0DDdtoUKFVJ6XG7pJ3nkEFFeJggCbt26hZ07d8LLyyvDD3WowsrKCiVLlsS9e/cU9j1+/Bi2trYwMTFR+gGhgkgmk+H27duoW7euKP7HH3+gfv36okL5v//+i1OnTona1a5dG3Z2doiKilLYR/lX4cKFUbp0aYWbvb09SpcuDSsrK15jRBrE4jcREREREREREeV7mzZtQvLqf+fPn1f5+J07d8LExARubm7qTk3rUo5s1NfXT7dtyv3R0dG5sh+ivOrFixfYuXMndu7cmeUZJCwsLFCnTh1UqlQJtra28puNjQ2sra1hYGCAf//9Fx4eHqLjDhw4IF/SgP4jlUpRp04dODo6ij4w8P79e7Rr107U1t/fX1TgbtiwIS5dugQAuHv3Lpo3b45v376pNb+mTZuiRIkSGY5iT0pKUmu/BZWBgQGKFCmCIkWKwMzMDKVKlVJa5C5atKi2UyUq0Fj8JiIiIiIiIiKifM/CwkI+vaunp6fKxzs5OaFHjx7w8vLCqlWrULhwYXWnqDUpR1nHx8en2zblfiMjo1zXT2BgYLr7g4ODUa9evUyfj0jTPn78iD179mDHjh24fv26SseamZmhTp068puTkxNKlSqV7ohSQRAwe/ZsUax69er58oM96vTjjz+Kit///vsvVq5cKfqgztmzZ0XHJBfHX79+jTZt2qi98A0Ac+bMQePGjdNtIwgCEhISREXxqKgoxMXFITY2FjExMYiNjRXdUscy0yb5lpSUJF+bO/lrTk6vrqenJ18vXNktZQFblVvhwoVhYGCQY4+DiLKOxW8iIiIiIiIiIsr3BgwYgKlTp0IikWDIkCEqH1+pUiVcvXoVP//8M2rVqoX9+/fD0dFRA5nmPFNTU/n92NjYdNumHL2d8rjc0o+tra1KORFpQ3x8PPbu3Yvt27fj1KlTmRqVW6RIETg5OYmK3fb29ipPnezr64u7d++KYpMnT5avr03K9ejRAxMmTJBvf/nyBSdPnkSHDh0AfF+XPPVo/SZNmiAhIQHVq1dXS/G3SJEiCgX09+/fZ3icRCKBvr4+9PX1tTYiedy4cVi4cKF8283NDbt371Yokiv7KpPJ0ixkp77x55iIABa/iYiIiIiIiIioABg3bhyOHj2KK1eu4O3bt1ma3tfQ0BB79+5F69at0aRJE/j6+mY44i4vMDAwQIkSJfDhwwd8/Pgx3bYp99vb26vUT8r2muyHKDc7f/48hgwZgidPnmTYtmzZsvjpp5/Qo0cPVKlSRS2FvX///Ve0XalSJYUp0EmRvb09nJ2dceXKFXls06ZN8uJ3QEAA4uLiRMdUrFgRlpaW2S586+jooH///pg9ezY8PDxw4cIF+b7g4OBsnTunFClSRCGWcjYQIiJ14sdgiIiIiIiIiIgo39PT08PRo0fRpEkT9O7dW2HkY2bp6OigS5cuiIyMhIeHB8LDw9WbqJZUq1YNABAREZHu1LxBQUHy+1WrVs1SH0DG05Mn9yOVSuHg4KBSP0S50efPnzFgwAA0a9Ys3cK3paUlhg8fjitXruDFixeYNWsWqlWrprYRrf7+/qLtgQMHQkdHRy3nzu969eol2j548KC8+KxsBHaLFi3UMtW5v78/1q1bBysrK5iZmYn25eR04tkRHR0t2lZ12QwiIlWw+E1ERERERERERAWCqakpTp06he7du6Nx48bYvHmzSse/e/cOy5Ytwx9//AEACAkJwf79+zWQac5r2bKl/H56Hwy4ffu20mMyo06dOvIpzNPrQyaTydfWdXZ25uhAytMEQcC2bdvg4OCAjRs3Km1jbGyMXr16wdfXF+/evcOKFSvQoEEDlac0z0wuqQvvKT+UQun7+eefRUXbpKQk+XOqrMidehr0rEo5olxXVzyZb0JCglr60LSUS1kAHPVNRJrF4jcRERERERERERUYurq6WLlyJbZv346xY8fC3d0d7969U9r23bt32LFjBwYPHoyKFSuiVKlS+P333/H161d5my9fvuRU6hrl4eEhL7T5+fml2e7UqVMAAAsLCzRv3lylPgwMDODm5gYAuHbtGiIjI5W2u3r1qnxft27dVOqDKDd5/vw5XF1d4enpidDQUIX9derUwc6dO/Hx40ds27YN7dq1g56ensby+fTpE8LCwkQxzqyQeUWKFMGPP/4oiq1fvx5JSUlp/j5T1aJFixTW5T569Kj8fuqfj8TERLX0q2mpR36z+E1EmsTiNxERERERERERFTju7u549OgR9PT0UKVKFSxevBg3b97Epk2bMHDgQJQvXx6lSpWCp6cn/vnnH7x48QKCIEAQBHmRWCqVokWLFlp+JOpRoUIFeaF527ZtiI+PV2jz6tUrnD59GgAwfvx4hRGIDx8+RMWKFWFra4vz588r7WfChAmQSqWIiYnBzp07lbbZsGEDAKB48eIYOHBglh8TkbYIgoAFCxagevXqSj9MYmpqiuXLl+Pq1av48ccfYWxsnCN5pR71bWhoiFKlSuVI3/nF0KFDRdtv3rzB8ePHsz0t/Zw5c5CUlITRo0ejR48eon0pi9+p1xXPK1PWpx75zWnPiUiTWPwmIiIiIiIiIqIC58mTJzhx4gSsra0hlUoxbtw41K9fHwMHDsSmTZvw6tUrebEbgGj6YUEQULVqVezduxe1atXS1kNQu4ULF8LS0hIBAQGYNGmSaF9cXBwGDx6MpKQkODk5Yfjw4QrHz5kzB8+fP8e7d+8wYcIEpX1Uq1YNY8eOBQBMmTIFr169Eu0/ceIEtmzZAgBYsWJFjhUFidRp1qxZGD9+vEKhEgC6dOmCx48f43//+1+OFy5TF78rVqyotrXEC4o6deqgdu3aotiaNWvw4cOHLJ1v4sSJSEhIwKRJk+TPRbt27URtLl68iIiICADAx48fRfusrKyy1G9OS84/GUd+E5Em6WbchIiIiIiIiIiIKO/bs2cPdu3ahXPnziE8PFy0L7nIDXwvdEskEnlMEASULFkSTZs2RbNmzeDi4oIKFSrkaO45oVSpUvD29kaXLl2wePFiPHz4EG5uboiJicGWLVvw4MED1KxZE4cPH4ahoaHC8TKZTH4/5fcztblz5+Lz58/YsGED6tWrhyFDhsDe3h63bt3Cpk2bIJVK8ddff3HKc8qT9u/fjz/++EMhbmtri5UrV6Jz585ayOq71GtQc8rzrBk6dCgGDx4s3/b29oa3t7dK5/jxxx+xYMEC2NraKuxr2bIl9PT05Ot5JyQkwM/PD+7u7grF7+LFi2fhEeQsQRBw9epVUcza2lpL2RBRQcDiNxERERERERER5Xv9+vXD1q1bASgWulNLntq8cePG8PT0RLNmzfJlsVuZ+vXr4/79+1i6dCkOHDiAcePGQU9PDxUrVsTSpUvxyy+/QF9fX+mxkydPxu3btxETE4M///wzzT6kUinWr1+PLl26YPXq1di4cSO+fv2KEiVKoGfPnhg5cqTCyEqivOD+/fvw9PQUxSQSCUaOHImZM2fC1NRUS5l9l3qmhYoVK2opk7ztxx9/xOjRoxVGM2dGzZo1sWLFCjRu3DjNNqampmjSpIl8mQkA8PPzg6urK968eSNqmxeKyI8ePUJwcLAo1rJlSy1lQ0QFAYvfRERERERERESU73l5ecmL2qlHdevp6aFWrVpo2LAhGjVqhNKlS2P48OG4e/cuhg4dWmAK38ksLCwwe/ZszJ49W6XjatSogefPn2e6ffv27dG+fXtV0yPKlUJCQuDm5oaoqChRfPHixfjtt9+0lJWYgYGBaDt5ZDGp5tGjRyoXviUSCVavXo2BAwdmarp7FxcXUfH70qVLuHHjBpKSkuQxXV1dODo6qpSHNpw8eVK0XapUqQL3ukpEOYvFbyIiIiIiIiIiyvcsLS3x9u1bCIIAAwMDNG3aFM2bN0ejRo1Qr149hWm8L126hKlTp8LT0xNnzpzBihUrlE71TUQUHx8PDw8PhVG5ffv2xahRo7STlBIlS5YUbacejUvpi4yMxOTJk7FixQqVjw0NDYW5uXmm26ceGX7v3j34+vqKYo6OjjAyMlI5l5yWuvjt6uqqdNYVIiJ1YfGbiIiIiIiIiIjyvfr16+Pt27cYOHAgFi1ahMKFC6fbXkdHB3PnzkWbNm3Qu3dv1K1bF15eXlwjl4gUjBo1CufPnxfFnJ2dsWbNmlxV5GPxO+sePnwIDw8PhXXTM6NatWoqFb4BoG7duqJ1v2UyGRYuXChq07BhQ5VzyWlRUVE4d+6cKNa6dWstZUNEBYVU2wkQERERERERERFpWtu2bQEAc+bMybDwnVKzZs1w//59VKpUCXXr1pWvG05EBHxf53v16tWimK2tLfbv368wzbi2pV4fmsXvzDl06BDq16+fpcI38P3nQVWFChVC7dq1023To0ePLOWTkxYuXIjo6Gj5tkQigYuLixYzIqKCgMVvIiIiIiIiIiLK99zc3KCrq4uYmBiVjy1atCj27duHRYsWYejQoRg4cCDi4+M1kCUR5TX79+8XbRcqVAiHDh1CiRIltJRR2jjyW3Vbt25F165dRQVcADA0NMT8+fMzdY6sFL8BoEGDBmnuc3BwyPUjv4OCgrBgwQJRrG3btihWrJiWMiKigoLFbyIiIiIiIiIiyvfMzc3RoUMHXLlyJcvnGDJkCE6dOgUvLy+0atUKERERasyQiPKiI0eOiLaHDh2a4YhdbUld/P78+TPi4uK0lE3u5+3tjb59+yIpKUkUr127Nu7fv4/x48dn6jxZLX5XqVIlzX2DBg3KVVPqKzNx4kTRB86kUin+/PNPLWZERAUFi99ERERERERERFQg/PrrrwgNDc3WORo2bIhp06bh4sWL8PDwUFNmRJQXBQcH4+bNm6JYp06dtJRNxlIXvwHgw4cPWsgk93v06BF+/PFHCIIgivft2xeXLl1ChQoVEBUVlalz2djYZCkHBwcHpXE7OzsMHTo0S+fMKdevX8f27dtFscGDB6N69epayoiIChIWv4mIiIiIiIiIqEBo1aoVhg0blu3zvH79GgBw6tQpXLhwIdvnI6K86ejRo6LtwoULo3HjxlrKJmNmZmYK65A/efJES9nkXomJiejbt69CcXv06NHYuHEjDA0NAUBhRHhaypQpk6U8SpcurTT+119/wcjIKEvnzAkhISHo06ePKFa4cGHMnDlTSxkRUUHD4jcREREREREREVEmBQQEYP369fLpZlOP+iSigsPHx0e03aZNG+jp6Wkpm4xJJBLUqlVLFPP19dVSNrnX2rVrFX63e3p6YuHChaKpxnV0dDJ1vvLly6ucQ1RUFH799VeFuJGREbp27ary+XLK169f4erqqvChimnTpsHS0lJLWRFRQcPiNxERERERERERUSYdOnQICQkJ8m1jY2MtZkNE2hIXF4eTJ0+KYh06dNBSNpmXOkcfHx+Fqb0Lsvj4eIV1qR0cHLB27VqFNbYz+0EHVdf8/vTpE1q2bKn0gwl///13rl3rOyIiAu3atcO9e/dE8apVq2L48OFayoqICiIWv4mIiIiIiIiIiDKpQYMG0NPTgyAIKFGiRK4egUdEmnPz5k1ERkbKtyUSCdq1a6fFjDIndfH71atXePr0qZayyX0OHz6MwMBAUWz16tXyqc5T0tPTg66ubobnzOwIcQA4f/486tevj+vXr2f7XDkpOjoaHTt2xLVr10Rxe3t7HDt2TGG6fSIiTWLxm4iIiIiIiIiIKJPq16+PJ0+ewMfHBw8fPkSxYsW0nRIRaUHKwjcAWFpawsrKSkvZZF7NmjVhbW0tih05ckRL2eQ+//77r2i7UaNGaN68udK2EokEpqamauk3Ojoao0aNQvPmzREQEJBmu2/fvqmlP3V6/PgxmjZtivPnz4viNjY28PPzU3nkOxFRdrH4TUREREREREREpIIyZcqgffv2MDMz03YqRKQlqT/48vXr1zwxfbhEIkH79u1FsdRrlxdUgiDgxIkToljv3r3TPSa7xe/ExESsX78eFStWxLJlyzL8GUpMTMxWf+qUlJSExYsXo3bt2rh165Zon6WlJU6dOoWyZctqKTsiKshY/CYiIiIiIiIiIiIiUkHq4ndCQoLCaPDcqmPHjqLtixcvIiwsTDvJ5CLv3r3Dly9fRLHWrVune0xmit/x8fEKsbi4OGzfvh1Vq1bF4MGD8e7dO4U2jRs3VphNILd86OrVq1do0aIFxowZg7i4ONE+MzMznDp1Cg4ODlrKjogKOha/iYiIiIiIiIiIiIhUoGzJg8+fP2shE9W5uLhAX19fvp2YmKgw4rkgevHihWjbxMQE9vb26R7z9u3bDM+7e/du+f2goCBMnToVpUqVQu/evfHs2TOF9oaGhvjrr79w9uxZhbXGtV38jo6OxrJly1CjRg1cuHBBYb+DgwPOnDmDGjVqaCE7IqLvdLWdABERERERERERERFRXmJqagpdXV3RNNSfP3/OsFiaG5iYmKB58+aigvfBgwfRvXt3LWalfV+/fhVtlyhRAhKJRKHdhw8fcOzYMezYsQMREREZnnfy5MlITEzEnj174Ofnh6SkpDTbtmzZEqtWrYKDgwNkMhlCQ0NF+7VV/P769StWrVqF5cuXIyQkRGG/RCLBb7/9htmzZ6NQoUJayJCI6D8sfhMRERERERERERERqUAikaBYsWL4+PGjPJa6UJmbdezYUVT83rdvHxYtWgRra2stZqVd0dHRCrHbt2/j0aNHePToER4/foxHjx7h1atXKp03KCgIAwYMSLdNnTp1MG/ePLRq1Uoee/bsmUJOpUqVUqnv7Hr37h2WLFmCtWvXpjmtv729PTZv3oxmzZrlaG5ERGlh8ZuIiIiIiIiIiIiISEUWFhai4ndemfYcAHr27ImxY8fK12tOSEjAqlWrMGfOHC1npj2p165+8eIFnJycNNpn8+bNMXLkSHTu3FlhlPnly5dF2zY2NrCzs9NoPgCQlJSECxcuYOvWrdi+fTsSEhLSbDt48GAsWrQoU2ufExHlFK75TURERERERERERESkotTrfr9580ZLmajO0tISnp6eotiaNWsQFRWlpYy06/HjxxmOzlYXY2Nj/PLLL3jw4AHOnDkDd3d3pdOrX7x4UbTdsGFDpe3UISEhASdPnsSQIUNQsmRJtGjRAps2bUqz8N2mTRucO3cOa9euZeGbiHIdFr+JiIiIiIiIiIiIiFTk4OAg2j5w4ICWMsma3377TbT95csXbN26VUvZaNe0adNypJ89e/bg48eP+Pvvv1GtWrU020VERGDfvn2iWMOGDdWaS1xcHHx9fdG/f3+UKFECrVu3xrp165Su6Q0AUqkUPXv2xO3bt3Hs2DE0bdpUrfkQEakLi99ERERERERERERERCrq2rWraPvGjRt4+fKllrJRXeXKldG+fXtRbMmSJZDJZFrKSHtyYsS7kZERXF1dYWxsnGHbLVu2ICIiQr4tlUrh7u6erf6/fPkCHx8fTJw4EU2bNkXRokXRoUMHbNq0CV++fEnzOAMDA/zyyy949uwZdu3ahVq1amUrDyIiTeOa30REREREREREREREKmrZsiUsLCwQGhoqj+3duxcTJ07UYlaq+f333+Hr6yvffv78OXx8fODm5qbFrHJGYmIiHj16hOvXr+Pu3bsa7y86OhobNmzA2LFj020XFxeHZcuWiWJubm6wt7fPdF8ymQwvX77EpUuX5Dd/f3+V8q1ZsyY8PDwwcOBAFC9eXKVjiYi0SSIIgqDtJIiIiIiIiIiIiIg0LSgoCHZ2dgCAwMBA2Nraajkjyut++eUXrFmzRr5do0YN3Lt3T4sZqUYQBNSsWRP379+Xx5o1a4azZ89qLykNEAQBAQEBuH79uvx269YtxMTEqOX8e/fuRcuWLWFvb4/IyMg025UqVQqvXr2Cjo5Omm0mTpyI+fPni2KnT59GixYtFNomJSXh1atX8Pf3x+PHj/H48WP4+/vD398/S6PZ69atCw8PD3Tt2hXlypVT+XgiIlVp4m8zjvzOowRBwKpVqzBhwgRERUXhzJkzaN68uVr78PX1xZo1a3Dr1i18/vwZJUuWRPPmzfG///0PtWvXVmtfRERERERERERERHlNz549RcXv+/fv4/Hjx6hSpYoWs8o8iUSC33//HX379pXHzp07h1u3bsHJyUl7iWVTQkICbt68iXPnzuHixYu4fv16mmtZZ1Xnzp3Rr18/uLm5QSKRYPny5aLCt1QqxcGDB0Wj6N++fYvjx48rTDef7PLly1iwYIEo5uDggOLFi+P48eMIDAzE27dv8ezZMzx+/BjPnj1DXFxcth5Hw4YN4eHhgR9++AGlS5fO1rmIiHIDjvzOg16+fIn+/fvj/Pnz8pg6i98ymQxDhw7F+vXrYW5ujsGDB6NMmTK4efMmtmzZAplMhsWLF2PEiBFq6Y+IiIiIiIiIiCgncOQ3qVtSUhJKlSqF9+/fy2PTpk3DjBkztJiVauLj42Fvb4/g4GB5rEePHti9e7cWs1KNIAh48uQJjhw5gpMnT+LSpUtqW8d76NCh6NmzJ3R0dCCVSmFjYwNra2vo6enJ27x79w6Ojo74/PmzPNa6dWscP34cderUwa1bt+Rxd3d3HDhwAFFRUQgNDUVISAhCQ0Nx+fJlzJo1Sy05p8XQ0BD16tVDo0aN0KhRIzg7O8Pc3FyjfRIRpYcjvwu4lKO9dXR00KBBA1y9elXt/UyaNAnr16+HhYUFrly5gvLlywMABg8ejB9++AEdOnTAqFGjULJkSXTr1k3t/RMRERERERERERHlBTo6OujevTuWLl0qj+3ZswfTp0+HRCLRXmIq0NfXx/DhwzF58mR5bM+ePRg9ejTq1q2rxczSJ5PJcOnSJXh5ecHHxwevX7/O0nnKlSuHunXrom7duqhTpw4GDhyI58+fy/eXKFECzZo1U3psXFwcgoKC4OzsLCp8A4CZmRlmzZqlsNb2wYMHc+xnw8rKSl7obtSoEWrXrg19ff0c6ZuISFs48jsPmT59OmbMmIE2bdpg/fr1+Oeff+SfIFTXyO9Hjx6hRo0akMlkWL16NYYOHarQpm/fvtiyZQuKFy+Oly9fwtjYONv9EhERERERERERaRpHfpMmXL16Fc7OzqLY7du3UatWLS1lpLovX76gTJkyCA8Pl8caN26M8+fP57oi/tOnT7F161bs2LEDb968Ufn4SpUqoUqVKqhatSoqV66MQoUKITIyElFRUYiMjMTYsWMVjmndurWoTUREBL59+5btKcfVxcLCAlWqVEHlypXlXytXrgwbG5tc9/wREaXEkd8FnCAI2LBhAwYMGKCxPubNmweZTIZChQrh559/Vtpm0KBB2LJlCz5+/IgNGzZg5MiRGsuHiIiIiIiIiIiIKDerX78+SpcuLSrE/vnnn3lq2nBzc3NMnjwZ48ePl8cuXryIf//9Fx4eHlrJKSYmBmFhYQgLC8PXr19x6NAhhfWws+Lp06d4+vQpDhw4kOljTpw4ke1+s6tYsWKws7NDqVKlYG9vLyp0W1paajs9IqJcgyO/8xBBEESf0koeCQ6oZ+R3XFwcrKysEB4ejubNm+PMmTNK28lkMhQpUgSRkZFo1KgRLl68mK1+iYiIiIiIiIiIcgJHfpOmTJ06FbNnzxbFbty4gTp16mgpI9XFxsbi/9i767Coti4M4O/QIopiYIGNit2CHajX7sRur91xr91d1+7G7kBsRcFOsEVQRERRUaRmvj/2B85hiAEGhoH39zzzXM46Z85Zcx1xzqy91y5RogTevn0bFStYsCA8PDxgbGycpHMrFAoEBQXBz88PHz9+hJ+fn+Tx8eNHfPr0CV++fIkqeKeWWdXaMGLECJQpUyaq2J0vXz6YmppqOy0iIo3jzO90Lrnbk9y+fTuqrU25cuViPU5PTw9lypSBq6srbty4geDgYGTIkCFZcyMiIiIiIiIiIiJKrUaOHIlVq1YhMDAwKjZ+/Hi4uLjoTNtpExMTLFiwAB06dIiKvXnzBitXrsSYMWPiff7v37/x5s0bvH79Gq9fv8arV6+ifn7z5g1+/fqVnOmnGoULF0bmzJlhbm4Oc3NzZMmSBTly5MCiRYvifW7dunVx8OBBZM2aNQUyJSJKm1j8piiPHz+O+jlylEVsIvfL5XJ4enrq1Po1RERERERERERERJpkYWGBiRMnStqGX7hwAc7OzmjUqJEWM0uYdu3aoXr16rh+/XpUbObMmejRo0dUa22FQoF3797hzp07uH37Nu7cuYMnT57g/fv32kpb6zp27Ij169cjc+bMKvtCQkJw9OjROJ9vYGCAmTNnYuzYsdDX10+uNImI0gUWvymKcjsbS0vLOI9V3v/27dsEFb99fHzi3P/79294enrC0tISOXLkgIEB36ZEREREREREqVF4eDj8/f0BAKVLl4aJiYmWMyIi0p6hQ4dixYoVkiLw+PHj4eDgAD09PS1mpj6ZTIYlS5agatWqUbHv37+jYsWK6NatG+7cuYM7d+7g8+fPWswSqF27NnLmzImMGTPi9+/fuHnzpuT77ZRSq1YtzJkzB9WrV5fEIyIicOvWLezfvx/bt2+P8/9X0aJFsWvXLlSuXDm50yUiShdYVaQoP378iPo5vptV5Tbnys9TR3yzyomIiIiIiIhI97i7u/OLeyJK1zJkyIAZM2agT58+UbEHDx5g9+7dcHR01GJmCVOlShXUrVsXFy9ejIp5e3tjzpw5Gjl/xowZYWlpiVy5csHS0lLyuHfvHjZs2KDynEyZMmH69OkYMmQIDA0No+Jbt27F4MGDERwcrJHc1GFubo6OHTuib9++qFSpUlRb+8DAQLi4uODEiRM4depU1OCw+Dx+/BhGRkbJmTIRUbrC4jdFUf6AEN8/tsr708taLURERERERERERERx6dGjB5YsWYInT55Exf755x+0b98exsbGWswsfn5+fti4cSOOHDmC27dvJ/o8OXLkQOHChVGoUCEUKlQIhQsXRsGCBWFlZQVLS0tkzJgxxue9evUKkyZNUonXq1cPO3bsQJ48eSRxf39/9OvXD+Hh4YnONSGqVauGuXPnonr16tDX18fz58+xdetWuLq64saNG3j69CkUCkWCzpkjRw6d6QpARKQrWPymKMqzuUNDQ+M8Vnm/qalpgq7j7e0d7357e3sAYtR47ty5E3R+IiIiIiIiIkoZvr6+qFKlCgBErQVLRJSe6evrY+7cuWjRokVUzMvLC2vWrMGIESO0l1gcXr16hUWLFmHLli0ICQlR+3lZsmRBpUqVULFiRVSoUAHFihVDoUKFkClTpkTlMWjQIAQGBkpiAwYMwMqVKyWzvSO9fPkyyYVvfX19ZM2aFRYWFsiaNSty5coVVbgfMmSI5FgjIyPs2LED48ePx5MnT/Dz588EXat27dqoW7cupk2bFhXz9/fHnTt3JG3miYgoaVj8pijKH0p+//4d57HKs8QT+mEmX758ah+bO3fuBB1PRERERERERNphYMCvmYiIAKBZs2aoWbMmrl69GhWbNWsWevXqBXNzcy1mJvXgwQPMmzcP+/btg1wuV/t569evR/369VGwYMGolt9J5ebmhnPnzkli7dq1w5o1a2K9RtmyZZE9e/Y419Nu0KABOnXqBGtra5iamiJjxoxRDzMzM4SFheHjx4/w9fXFhw8f4OvrCy8vLxw/flzlXFeuXMGVK1cS9LpsbW3RsmVL9OzZEzY2NgAAJycneHh4RB1z9epVFr+JiDSIdyUUpUCBAlE/+/n5xXms8n7l5xERERERERERERGlZzKZDPPnz4/qbgkAAQEBmDFjBhYvXqzFzITw8HBMnjwZCxYsiPM4c3NzfPv2TSXu5uaGfv36aTSnZcuWSbZz5cqFLVu2xFlcNzU1xb59+9CyZUv8+PEjxmNcXFzg4uIStZ0jRw7ky5cPX758wcePHxM0010dxsbGqFOnDpo2bYqmTZuiUKFCKsfUqlVLUvy+cuUKxowZo9E8iIjSMxa/KUqpUqWifo6vNbmPjw8AQE9PD8WLF0/WvIiIiIiIiIiIiIh0iZ2dHVq3bo3Dhw9HxZYuXYpWrVqhZs2aWsvrw4cP6NSpk2RWujJDQ0M4OjrC0dERNWvWhIGBAZo0aYIzZ85EHbNp0yZ06tQJDRo00Fhely9flmyPHDkSZmZmUdvfv3+Ht7c3/Pz88OnTp6iHn58fChcujPv376t1HX9/f/j7+2ss7zx58sDe3h52dnawt7dH+fLl413bvVatWli3bl3U9rVr1yCXy7n2NxGRhrD4TVEqVaqETJky4cePH3F+WJDL5Xjw4AEA8SFOea1wIiIiIiIiIiIiIgLmzp2LkydPIjQ0FACgUCjQo0cPPHjwINHrYifFxYsX0alTJ3z69Elln5mZGQYOHIgRI0Ygb968kn3r1q1DyZIlERQUFBXr168fHj16JClQJ5avry98fX0lscuXL+P69evw8vKCl5eXylrg2lClShWUKlUq6lGyZEnkzp07wa3fow9++Pr1K548eYLSpUtrMl0ionSLQ4koirGxMVq0aAFAtK5R/jCj7ObNm1H72rdvn2L5EREREREREREREemKYsWKYdasWZLYmzdvMHr06BTP5datW2jcuLFK4dvQ0BDTpk3Du3fvsHDhQpXCNwBYW1urtEh/+/YtJk2alOh8FAoFHj16hJUrV6JWrVoq+0+dOoVjx47hwYMHWi98ly1bFiEhIXBzc8OmTZswcuRIODg4IE+ePIla89zKygoFCxaUxK5fv66pdImI0j0Wv9ORx48fw8bGBvny5cOVK1diPGbChAnQ09NDcHAwdu/eHeMxGzduBABYWlqib9++yZYvERERERERERERkS4bNWqUykzfDRs24MSJEymWQ1BQELp06RI1Az1S/vz5ce3aNUydOhVZs2aN8xwDBgxQKVKvWrUqwUVbT09PTJw4ETY2NihTpgyGDRuGly9fJugc6jIyMkL27NkT/XwDAwOMGDECN2/ehJGRkQYzE11Ylb1580aj5yciSs/Y9jwdmT17Nl68eAFAFLldXV1VjilVqhTGjh2L+fPn459//kGDBg1QqFChqP3Ozs7Ytm0bAGDlypXImDFjyiRPREREREREREREpGP09fWxdetWlC1bVtJps2/fvnj8+HGSirPqGjFihEqBuWnTpti+fTssLCzUOoeenh42btyIMmXK4Pfv3wDE7O3evXvj/v378S6N6eHhgWnTpmH//v1QKBSJeyEAsmbNipw5cyJnzpywtLSU/Df6z5kzZ1aZmf39+3e4u7vD09MTL168wMuXL+Hj44OgoCDo6+sjU6ZMKFy4MOzt7dG2bVtYWVklOte45M+fX7L97t27ZLkOEVF6xOK3jtm5c2fUzw8fPoz6+dy5c/Dx8QEgZmQ7ODioPFcul0f9HNcHjDlz5iAgIAAbN25ElSpVMGDAABQoUAB37tzBli1boKenhyVLlrDlOREREREREREREVE8ChUqhKVLl6Jfv35RMT8/PwwcOBD79+9PVOtsdZ05cwabNm2SxKpVq4YjR47AwCBh5YGiRYti5syZGDt2bFTs+fPnmD59OubNmxfr8zZv3oyBAwciLCxM7WuZmZlh+PDhKFiwIPLnzw9ra2tYWVnFW2SPT+bMmdGgQQM0aNAgSedJKmtra8k2i99ERJojUyRlmBWlOHU+CNWuXRuXLl1SiT98+BBt27aNamke01oqyk6dOoU1a9bg9u3b+Pr1K3LlyoXatWtj+PDhqFChQmJfQrx8fHyiRtR5e3sjX758yXYtIiIiIiIiIko83sOTruF7lrRFoVCgefPmOHnypCS+c+dOdO3aNdmu26pVKxw9ejRq28zMDPfv30fhwoUTdb6IiAjY29vD3d09Kqavrw83NzdUrFhR5fh58+Zh4sSJsZ7PysoK9erVi+o2GmncuHGYP39+onLUBUePHkWrVq2itvPlywdvb2/tJUREpCXJ8dmMxW9KdXgTQkRERERERKQbeA9PuobvWdKmjx8/olSpUggICIiKmZub49GjR8nSXjs8PBzZsmXD9+/fo2IrV67EkCFDknTeJ0+eoHz58pKZ3KVKlcKtW7dgYmISFXv48CHKly8v6UgKiNnX/fv3R4cOHVCpUiXIZDJMnDhRMns8T5488PLySvDsdF1x7949yQQzPT09hIWFQU9PT4tZERGlvOT4bMbfpEREREREREREREREySxXrlxYt26dJPbt2zf06tVLpUCsCbdv35YUvgGgbdu2ST5vyZIl8c8//0hijx8/xvjx4yWx6dOnq7yuYcOG4e3bt1i4cCEqV64c1em0S5cukuM+fPigMks+LYmpyJ2c7e+JiNITFr+JiIiIiIiIiIiIiFJA27Zt4ejoKImdP38eq1at0vi1Ll68KNm2tbVF7ty5NXLuCRMmoGzZspLYihUrJAXrK1euSPYPHz4cy5cvR9asWVXOV7p0aVStWlUSmzlzZrIMCkgNgoKCJNuZMmVi8ZuISENY/CYiIiIiIiIiIiIiSiErV65E3rx5JbExY8bgxo0bGr3O+/fvJduVK1fW2LmNjIywa9cuSZtzAOjVqxc+fvyI0NBQfP78WbKvc+fOcZ5z8ODBku07d+7g4MGDmkk4lYle/DYzM9NSJkREaQ+L30REREREREREREREKSRLlizYunWrJBYWFoa2bdvC19dXY9cxNzeXbP/69Utj5wZE+/MlS5ZIYv7+/ujRowf09fVVCrpv376N83xdunRB8eLFJbHx48fj58+fGsk3Nfnx44dkm8VvIiLNYfGbiIiIiIiIiIiIiCgFNWjQAGPHjpXEfH190a5dO4SGhmrkGtmyZZNsf/nyRSPnVTZw4EC0aNFCEnN2dsaKFStQvXp1SXzZsmVQKBSxnsvAwACzZ8+WxN68eYOpU6dqLuFU4vHjx5JtCwsLLWVCRJT2sPhNRERERERERERERJTC5syZgwYNGkhirq6uGD58uEbOH734Hb0NuSbIZDJs2rRJZS3x8ePHo0iRIpLYzZs3sX379jjP17p1a9SsWVMSW7p0Kdzd3TWTcCpx7tw5yXb0gQJERJR4LH4TEREREREREREREaUwAwMD7N27FwUKFJDE165di40bNyb5/Lly5ZJsP3nyJFlmf2fPnh07duyATCaLioWFheHMmTMqOQwePBhPnz6N9VwymQwbNmyAsbFxVEwul6NLly74/v27xnPXhu/fv8PNzU0Siz4IgoiIEo/FbyIiIiIiIiIiIiIiLciWLRsOHz6MDBkySOJ///23SoE0oezt7SVF5PDwcBw9ejRJ54xN/fr1Vdq4v3r1CmFhYZLYr1+/0KxZM7x//z7WcxUrVgxTpkxROdeAAQPibJuuK06fPo2IiIiobSMjI9SoUUOLGRERpS0sfhMRERERERERERERaUm5cuVUZnqHhoaiTZs2+PjxY6LPmylTJvz111+S2IEDBxJ9vvjMnDkTFStWlMQCAgKQPXt2SezNmzdwcHCIsw37uHHjYG9vL4nt3bsXa9as0VzCWhAWFqZS2Le3t0fGjBm1lBERUdrD4jcRERERERERERERkRZ16dIFo0aNksQ+fPiA9u3bIzQ0NNHnbdeunWT73Llz+Pr1a6LPFxcjIyPs2bNHpZD78+dP5MyZUxLz8PBArVq14O3tHeO5DAwMsHv3bmTJkkUSHz58OC5fvqzRvFPS+vXr8fz5c0msf//+WsqGiChtYvGbiIiIiIiIiIiIiEjL5s+fj3r16kli165dUymKJ0Tz5s0lrc/DwsKwYsWKRJ8vPkWLFsWqVaskseDgYGTKlAkFCxaUxD08PFC9enV4enrGeK78+fNj8+bNklh4eDjatWuHt2/fajTvlODn54dp06ZJYpUqVULHjh21kxARURrF4jcRERERERERERERkZYZGBjAyckJ+fPnl8T/++8/bNmyJVHnzJw5M1q0aCGJLVq0CP7+/onOMz49evRQKei+evUKFStWhLW1tSTu7e0NOzs7ODs7x3iu1q1bY9KkSZLY58+f0aRJk2SbwZ4cvnz5EmOr98WLF0NPj2UaIiJN4m9VIiIiIiIiIiIiIqJUIHv27Dh06BBMTEwk8UGDBsHd3T1R55wyZQpkMlnUdlBQEObOnZukPOMik8mwdu1aFCpUSBI/cOAARo4cieLFi0vigYGB+Ouvv7B06VIoFAqV882cORPNmjWTxDw8PNCmTRuEhIRo/gVo2I8fP/DXX3/h0aNHknirVq1Qq1YtLWVFRJR2sfhNRERERERERERERJRKVKhQAevXr5fEQkJC0Lx5c7x58ybB5ytVqhQcHR0lsf/++w/v3r1LUp5xyZIlC/bv3y9puQ4AU6dOxZYtW1ClShVJXC6XY9SoUejcuTO+f/8u2aenp4edO3eiZMmSkvilS5fQvXt3REREJM+L0IDXr1+jYcOGKgMXChUqhDVr1mgpKyKitI3FbyIiIiIiIiIiIiKiVKRbt24YPny4JPbp0yf89ddfCAgISPD5pk+fDkNDw6jt0NBQTJgwIcl5xqVChQoq64t///4dAwYMwMmTJ9GuXTuV5zg5OaFSpUq4f/++JG5ubo6TJ08iV65ckvi+ffswcODAGGeMa5NcLsfq1atRpkwZ3Lx5U7Ivb968OH/+vMprISIizWDxm4iIiIiIiIiIiIgolVm4cCHq168viT179gytWrXC79+/E3SuggULYsCAAZLYnj17cPDgwSTnGZd+/fqhW7duktjDhw8xYcIE7Nu3D9OnT1d5zosXL1C1alUsXLhQMqs7f/78OHnyJDJmzCg5fuPGjRg9enSqKYB7eHigYcOG+Pvvv/Hz50/Jvhw5csDFxQUFChTQTnJEROkAi99ERERERERERERERKmMoaEhDh48iNKlS0vi165dQ48ePSCXyxN0vn/++Qfm5uaS2IABA+Dn55fkXGMjk8mwZs0alZblmzZtwrZt2zBlyhQcPXoUWbJkkewPDQ3FuHHjULt2bbx8+TIqXqFCBRw+fBhGRkaS45cuXYoZM2Yk2+uIj0KhgIuLC5o0aQJbW1ucP39e5ZgCBQrAxcVFZc1zIiLSLBa/iYiIiIiIiIiIiIhSIXNzc5w6dQp58+aVxPft24dx48Yl6FyWlpZYuXKlJBYQEID+/fsn66zpjBkz4sCBAyoztgcPHoyHDx+iRYsWuHfvnso64ABw/fp1lC1bFmvWrInK0cHBAU5OTtDX15ccO23aNCxdujTZXkdMPn/+jI0bN6Js2bJwcHDA6dOnYzxu4MCBePjwIcqUKZOi+RERpUcsfhMRERERERERERERpVL58uXDqVOnkClTJkl88eLFKsXs+Dg6OqJNmzaS2LFjx7Bt27Yk5xmX4sWLY+PGjZJYcHAw2rVrh+/fv6NAgQK4evUqxowZA5lMJjnu169fGDx4MBo1agRvb28AQKtWrbB161aV64waNQqbNm1KttehUCjw6NEjzJ07F9WrV0fOnDnRr18/PHr0KMbjrays4OzsjDVr1qj8+RERUfJg8ZuIiIiIiIiIiIiIKBUrU6YMDh48CAMDA0l8+PDhOHz4sNrnkclkWLt2LXLmzCmJDxs2DJ6enhrJNTadOnXC33//LYm9ePECffr0gUKhgJGRERYuXIgrV66gUKFCKs8/d+4cbG1tsWTJEoSFhcHR0RH//fefynH9+vXDvn37NJJzYGAgLl68iMWLF8PR0REFChRAmTJlMGnSJLi6usY6Y97CwgKTJ0/Go0eP4ODgoJFciIhIPTJFcvYzIUoEHx8fWFlZAQC8vb2RL18+LWdERERERERERDHhPTzpGr5nSddt27YNPXv2lMRMTExw4cIF2NnZqX2eo0ePolWrVpJYsWLF4ObmprIuuCaFhISgZs2auHXrliS+dOlSjBgxImo7KCgI48ePx+rVq2M8T+nSpbF69WrUqFED8+fPx4QJEyT7DQwMcPToUTRp0iTenEJDQ+Ht7Q0vLy+8ffsWXl5eePr0Ke7evYvXr18n6PXZ2Nhg5MiR6N69O0xNTRP0XCKi9Cg5Ppux+E2pTnq8CXnyBFi6FPD0BIoWBYYOBSpU0HZWRERERERERHFLj/fwpNv4nqW0YObMmZgyZYokli1bNty4cQNFixaN9/kKhQLBwcHo0KEDTp48KdmXP39+HDx4EAqFAnK5HPr6+tDT04O+vr7aP8e0HRkDgLdv36JChQr4+vVr1HX19fVx/vx51K5dW5KPs7Mz+vTpAx8fnxhfS69evTB//nwsWrQICxYsUNk/depUlClTBl++fFF5+Pr6wsvLCx8+fEjSmuempqZwcHBAnz590LRp06jXSURE8WPxm9KF9HYTcvgw0KUL8Pv3n5i+PrB9u4gTERERERERpVbp7R6edB/fs5QWKBQK9O/fX2UNbX19fWzduhVhYWH48OGD5PHt2zf8+PEDQUFBCAoKglwu10ru+vr6MDAwQEhISIz7ZTIZrK2towrmcrkcX758kRTKU4P8+fOjWbNmaNasGerUqQMTExNtp0REpJOS47OZQfyHEFFyefpUtfANABERQO/eQMmSQNmy2smNiIiIiIiIiIiIUh+ZTIaZM2eqFL8jIiLQrVs3LWWlnoiICERERMS6X6FQwMvLKwUzip+RkRFKly6NChUqoHz58qhZsyZKliwJmUym7dSIiCgGLH4TaYlCIQrc0QvfkUJCgBEjgIsXUzQtIiIiIiIiIiIiSoW+ffuGQ4cOwcnJCS4uLtpOJ83JnDkzChQogPz586NgwYIoV64cypcvD1tbWxgZGWk7PSIiUhOL30RacvQo4OYW9zGXLgFXrwI1a6ZISkRERERERERERJTKyOVyrFu3DhMmTMD3799T/PqGhoaIiIjQWqt0TercuTOyZcsGCwsLZM+eHdbW1lEF7yxZsmg7PSIi0gAWv4m0QKEAZs6UxooWBdzdgVKlgPfv/8RXrmTxm4iIiIiIiIiIKD3y8vKCo6Mjrl27lqjn//vvv8ibNy8sLCyQKVMmZMqUCWZmZlGPDBkywNDQEPr6+ujbty927Ngheb6NjQ2uX7+O7NmzQ6FQQKFQRLUuj3zI5fI4t6M/wsPDJdv37t3D8OHDVXKfOHEiqlatCj09vVgf9+7dw9SpUxEUFKTW/4/OnTujefPmifp/SUREuoHFbyItuHkTuHtXGps+HciSBRg7VrQ7j3TsGBAYKPYRERERERERERFR+hAUFIR69erh9evXMe7PkCEDGjRogEqVKiEoKAgLFy5UOUahUGDAgAFqXW/9+vV49+4dLl++HBV7/vw5mjVrhvPnzyNjxoyQyWTQ09ODoaFh4l5UDGrWrIns2bOja9eukvjOnTsxcuRI5MiRI9bn1q1bFyNHjsTJkycxYcIEPHnyJM5rOTk5sfhNRJTG6Wk7AaL0aM0a6XbBgkCHDuJnR0dA+bNjSAhw8GDK5UZERERERERERETaN2HChBgL382bN8eePXvw6dMnHDt2DFOmTMGCBQtw+vRplaL0rFmzsHjxYrWuZ2JigiNHjqB06dKSuJubGzp27Ijw8PDEv5h4dOnSBSOUZwQB8Pb2RqdOneK9rkwmQ7NmzfDgwQNs2bIFtra2sR6bOXNmTaRLRESpGIvfRCksOBg4dEgaGzQI0NcXP2fLBjRtKt1/7FjK5EZERERERERERETa5+Xlhf/++08SK1iwIFxcXHDs2DF06tQJZmZmkv2NGzfGzp07IZPJJPExY8Zg06ZNal03S5YsOH36NKysrCTxkydPon///lAoFIl4NepZsGABateuLYlduHABEydOVOv5+vr66NmzJx4/fgxnZ2c0adJEst/CwgLjx4/XWL5ERJQ6sfhNlMLOngV+/vyzracHdO8uPaZtW+m2i4uYAU5ERERERERERERpX/Q1vjNkyABnZ2fUr18/zud16NAB69atU4n3798fBw4cUOvaefPmxdmzZ5E1a1ZJfMuWLRg+fHiyFcANDQ3h5OSEvHnzSuKLFi3Cvn371D6PTCaDg4MDTp48iY8fP+Lw4cM4ePAgvLy8kD9/fk2nTUREqQyL30QpLHoL81q1AEtLaaxRI0B5gOavX4DSUjtERERERERERESUhv348UOyXb58eRQpUkSt5/br1w8LFiyQxORyObp06YKzZ8+qdY4SJUrgxIkTMDExkcRXrlyJ8ePHJ1sB3NLSEgcPHoSRkZEk3rt3bzx+/DhR52vVqhXatGmjMlOeiIjSJha/iVJQSIhqC/Pos7wBIEcOoEoVaez8+eTLi4iIiIiIiIiIiFKPiIgIybavry/kcrnazx87dqxKu/CwsDC0bt0a169fV+sc9vb22LdvH/Qj12v8v4ULF2LatGlq55JQVatWxcqVKyWxnz9/ok2bNggMDEy26xIRUdrA4jdRCjp/Hvj+XRpr0ybmYxs0kG5fuZI8OREREREREREREVHqUqlSJcn2mzdvcOnSpQSdY/bs2Rg0aJAkFhwcjKZNm+L+/ftqnaN58+bYtWsX9PSkpYQZM2Zgzpw5CconIfr164c+ffpIYi9evED37t0TNAiAiIjSHxa/iVJQ9Jbn9vZAnjwxH1u7tnT79m3pWuFERERERERERESUNlWpUgW2traS2L///ovw8HC1zyGTybBq1Sp07txZEv/27RsaNWqE58+fq3Wejh07YsuWLZApr9MIYPLkyViyZIna+SREZO7RBwEcP34cs2fPTpZrEhFR2sDiN1EKCQsDjhyRxtq1i/14OztAuaNQeDhw40aypEZERERERERERESpiEwmQ79+/SQxV1dXzJo1K0Hn0dPTw7Zt29C0aVNJ/NOnT3BwcIC3t7da5+nevTvWrl2rEh89ejSWLl2aoJzUZWJigoMHDyJ79uyS+NSpU3Hq1KlkuSYREek+Fr+JUsjly8CXL9JYbC3PAcDMDKhQQRpzd9d8XkRERERERERERJT69O3bFwULFpTEZs6cmeD254aGhti/fz9qR2s1+e7dOzRo0AAfP35U6zz9+/fHihUrVOKjRo3CokWLEpSTuqytreHk5CRpu65QKNC1a1e8evUqWa5JRES6jcVvohRy4IB0u3JlIH/+uJ9Ttap0+/ZtzeZEREREREREREREqZOZmRl2794NfaX2kHK5HC1atIB7AmfJZMiQAceOHUPFihUl8efPn6N+/frw9/dX6zxDhw7FggULVOJjx47FvHnzEpSTuurVq4f58+dLYoGBgWjdujV+cp1IIiKKhsVvohQQEQEcPiyNtW0b//OifRbFnTuay4mIiIiIiIiIiIhSt2rVqmHmzJmS2I8fP9CwYUPcSeCXhZkzZ8aZM2dQokQJSfzp06do2LAhvkRvWxmL2ArdEydOVMlVU0aPHo0OHTpIYo8ePUK/fv2gUCiS5ZpERKSbWPwmSgHXrgGfPkljiSl+v3sHqDkIk4iIiIiIiIiIiNKAcePGoWXLlpLYt2/f4ODgkOACePbs2XHu3DkULlxYEr9//z4aN26Mb9++qXWe8ePHY/HixSrxKVOmYOrUqRovSMtkMmzatAklS5aUxPfs2YPly5dr9FpERKTbWPwmSgEHD0q3y5YFihSJ/3klSgAZMkhjnP1NRERERERERESUfujr68PJyQmNGzeWxL9+/YpatWrh2LFjCTpf3rx5ceHCBeSPtibjrVu30KRJEwQFBal1nlGjRsVYeJ4xYwYmT56s8QK4mZkZDh8+jMyZM0viY8aMweXLlzV6LSIi0l0sfhMlM7lctfjdrp16zzUwAMqVk8ZY/CYiIiIiIiIiIkpfjI2NcejQITRo0EAS//XrF1q1aoVFixYlqNhsbW2N8+fPI2/evJK4q6srmjdvjl+/fql1nmHDhmHVqlUq8blz52LEiBEaL4AXLVoUO3fulMQiIiLQoUMH+Pj4aPRaRESkm1j8Jkpmbm7Ahw/SmDotzyNx3W8iIiIiIiIiIiLKkCEDjh49inr16kniCoUCY8eORf/+/REaGqr2+QoXLozz58/D0tJSEr906RJat26N379/q3Wev//+G+vWrVOJr1ixAv369UNERITaOamjefPmmDJliiT26dMntGvXDiEhIRq9FhER6R4Wv4mS2d690m1bW9HOXF2VKkm3WfwmIiIiIiIiIiJKn0xNTXHq1Cn06NFDZd/GjRtRu3ZteHl5qX2+YsWK4fz588iePbsk7uzsjHbt2qldTO/fvz82b94MmUwmiW/atAndunVDWFiY2jmpY+rUqWjSpIkk5ubmhuHDh2v0OkREpHtY/CZKRuHhgJOTNNa+fcLOEX3m97t3gL9/0vIiIiIiIiIiIiIi3WRsbIwtW7Zg7ty5Kvtu3ryJcuXK4ciRI2qfr2TJkjh37hyyZMkiiZ88eRKdOnVSu3Ddq1cv7N69G/r6+pL4nj170L59e43OytbT08POnTtRqFAhSXzdunXYtGmTxq5DRES6h8VvHfX582f8+++/KFWqFMzMzGBhYQE7OzusWLEiQa1tYnLp0iXIZDK1HosWLdLQK0qbLl4E/Pyksc6dE3aO4sWBDBmksfv3k5QWERERERERERER6TCZTIYJEybgwIEDyBDty8PAwEC0bt0aw4YNU7vgXK5cOTg7OyNz5syS+OHDh9G9e3e1W5d36tQJBw8ehJGRkSR+9OhRtGjRQu21xNWRNWtWHD58WOX1//3337h165bGrkNERLqFxW8d5O7ujjJlymDWrFnIkycP5s+fj0mTJiEoKAjDhw9HtWrV8CH6ItOkFbt2SbcrVgSKFUvYOQwMgFKlpLEnT5KWFxEREREREREREem+tm3b4tq1ayhcuLDKvpUrV8LOzg5Pnz5V61yVK1fG6dOnkTFjRkl879696NOnD+RyuVrnadmyJU6cOKFSlHZ2dkbjxo3x/ft3tc6jjjJlymDjxo2SWEhICNq2bYtPnz5p7DpERKQ7WPzWMe/evUOzZs3g6+uLESNGwNnZGX///TfGjBmD27dvo27durh37x5atGiR5DYy27Ztg4eHR5yP3r17a+iVpT3BwcChQ9JY166JO1fJktLtx48Tdx4iIiIiIiIiIiJKWypUqIC7d++iY8eOKvvu3buHChUqYOHChWrN3ra3t8fJkydVCtfbtm3DoEGDoFAo1MrJwcEBZ8+eRaZMmSTxq1evwsHBAV++fFHrPOro0qULRowYIYl5e3ujU6dOCA8P19h1iIhIN7D4rWPGjh0Lf39/WFtbY968eZJ9xsbG2LBhA/T19XHnzh2sWrUqSdeytrZG8eLF43xYWFgk6Rpp2f79wI8ff7ZlMiCGz59qiT7zm8VvIiIiIiIiIiIiipQ5c2bs2bMH69evh4mJiWRfSEgIxo0bhxo1auDZs2fxnqt27do4evQojI2NJfH169dj2LBhahfAa9asifPnzyNr1qySuLu7O+rWrQu/6OtFJsGCBQtQu3ZtSezixYuYOHGixq5BRES6gcVvHfLixQvs378fANC9e3eVDx8AULhwYdStWxcAMH/+fI5s0xKFAlixQhqrXx/Ikydx54s+8/vJE3ENIiIiIiIiIiIiIkCsA96vXz+4u7ujRIkSKvtv3ryJcuXKYcmSJfHOAndwcMCBAwdgaGgoia9atQojR45UuwBeuXJlXLp0CTlz5pTEHz58iNq1a8PHx0et88TH0NAQTk5OyJs3ryS+aNEi7Nu3TyPXICIi3cDitw45cOBA1IeKBg0axHqcg4MDAMDf3x+XLl1KidQoGhcX4M4daezvvxN/vugzv4OCgHfvEn8+SntCQ4Fz54CNG4FTp4Bfv7SdERERERERERERaUPp0qVx584djB49GjKZTLLv9+/fGD16NOzt7XH//v04z9OsWTM4OTlBX19fEl++fDnGjh2rdgG8TJkyuHLlikph+tmzZ6hZsyZev36t1nniY2lpiYMHD8LIyEgS7927Nx6zlSYRUbrB4rcOuXDhQtTP5cqVi/W48uXLx/icpAgNDUVwcLBGzpXWhYcDEyZIYwUKAM2bJ/6cefMC5ubSGD+vUaRz54BixYCGDYF+/YCmTQFra2DHDm1nRkRERERERERE2pAhQwYsWrQIV69eRZEiRVT2u7u7o2LFihg1ahSCgoJiPU/r1q2xe/du6OlJSwmLFy/GxIkT1S6AFytWDFevXkWhQoUk8bdv36JWrVrw9PRU6zzxqVq1KlauXCmJ/fz5E23atMH37981cg0iIkrdWPzWIZGj0zJlygTz6JVQJVZWVlE/P3nyJNHXc3V1RcuWLZEnTx6YmJjA1NQUWbJkQdOmTXH48GG1P9ikJyEhwLBhwN270vg//wDRBkgmiEwWc+tzokOHgCZNgLdvpfGAAKB7d2DaNG1kRUREREREREREqUH16tXx4MEDDB8+XGUWuFwux9KlS1GiRAkcOXIk1nN06NABO3bsUCmAz58/H//++6/a3xMXLFgQV65cQfHixSXx9+/fo1atWnj48KF6Lyoe/fr1Q58+fSSxFy9eYMCAAfxOm4goHWDxW0eEhITg48ePAET7lrgo738bvSKWAJMnT8b79+8xYcIEHD9+HHv27EHr1q1x9uxZtGnTBi1atMCPHz8SfF4fH584H76+vonOWVs8PYHWrQELC2DNGum+4sWBHj2Sfo3orc8585s8PABHR9FtIDbTpwPr16dcTkRERERERERElLqYmppi2bJluHTpEmxsbFT2+/j4oHXr1mjRogXevHkT4zm6dOmCrVu3qhTQZ8+ejRkzZqidS968eXH58mWULVtWEvf390edOnXg7u6u9rliI5PJsGrVKlSqVEkS37t3LzZs2JDk8xMRUerG4reOUC4ym5iYxHlshgwZYnxeQg0bNgzu7u4YNmwYmjZtik6dOmHLli04efIkDAwMcOLECXTp0iXB57WysorzUaVKlUTnrC1mZsCRI6rrLOvrA1u3AgYGSb9G9OI3Z36nb3K5GFQRfTUCMzPVY4cN42AJIiIiIiIiIqL0LnJ29fTp02FsbKyy//jx4yhRogT++eefGFuhd+vWDZs2bVKJT5s2DbNnz1Y7j5w5c+LixYuoWrWqJP7161fUr18fV65cUftcsTExMcH+/fuRJUsWSXzYsGF48OBBks9PRESpF4vfOkJ5vW0jI6M4j1Xe/yt6NVYN1apVw9u3b7Fs2TKVVjYA0KhRIwwcOBAAcOLECRw9ejTB10hr8uUDog1WhEwGrF4NRPsMl2jR254/fQpERGjm3KR79uwBbt2Sxnr1Ar59E+87ZSEhwODBALs6ERERERERERGlb8bGxpgyZQoePXqE+vXrq+wPCQnB7NmzUaxYMezcuRNyuVyyv1evXlgfQ5vBf/75B/Pnz1c7j6xZs+LcuXOoVauWJB4UFITGjRvj7Nmzap8rNgUKFMCWLVsksZCQEHTo0CFJk8aIiCh1Y/FbRyjP5g4NDY3zWOX9pqamCb6WiYkJ8ufPr9LCRpnymimbN29O0Pm9vb3jfGiitY02NGki/iuTAXZ2wNmzQP/+mjt/9OL379+q6zxT+hARAUydKo3Z2AD//Qfo6QGDBgHDh0v3X70K7NqVcjkSEREREREREVHqVbRoUZw7dw67du1Czpw5VfZ/+PAB3bp1Q/Xq1VW+r+3Xrx/WRF/7EcCECROwePFitXPIlCkTTp8+jUaNGkniwcHBaNGiRZzrkKurVatWGB7ti7Lnz59j4MCBXP+biCiNYvFbR2TKlCnq59+/f8d5rPIsceXnaVLp0qWjWuO4urom6Ln58uWL85E7d+7kSDnZOToC27YBHz8Crq6Ag4Nmz58zp1hTXNnTp5q9BumGI0eAV6+ksYULAaUxMpg7FyhQQHrMmDHA9+/JnR0REREREREREekCmUyGLl26wNPTE8OHD4e+vr7KMTdv3kTVqlXRrVs3eHl5RcUHDhyIlStXqhw/ZswYLF++XO0cTE1NcfToUbRu3VoSDw0NRbt27bBnz54EvKKYLViwQGX97927d8fYwp2IiHQfi986wtjYGLly5QIA+Pn5xXms8v4C0atfGqKvrw+L/1diAwICEB4enizX0SW2tkD37qJInRxkMqBECWnMwyN5rkWp24oV0u0KFYDmzaWxDBmA6PcZfn6qzyUiIiIiIiIiovQta9asWLZsGR4+fIiGDRvGeMzOnTthY2OD0aNHIyAgAAAwZMgQLF26VOXYESNG4L///lP7+sbGxti3bx+6du0qiUdERKBr165JLlIbGRnByckJ5ubmkvjQoUPx8OHDJJ2biIhSHxa/dUipUqUAAD9+/MC3b99iPc7Hxyfq55LRe2VrUOR6LzKZLMa1wUnzWPymN2+AK1eksdGjxeCI6Jo3/9OOP9KSJWJdcCIiIiIiIiIiImW2trY4c+YMjh07hiJFiqjsDw0NxZIlS1C4cGHMnz8fwcHBGDFiBBYtWqRy7JAhQ7B27Vq1r21gYIBt27ahX79+krhCoUDfvn0TNJs8JoUKFVJZvvP379/o0KEDgoKCknRuIiJKXVix1CH16tWL+vn+/fuxHnf37t0Yn6OOb9++YdasWbh8+XKcx4WFheHLly8AgJw5c7L4nUJY/KadO6XbFhZA27YxHyuTAXPmSGNfvwIxdKQiIiIiIiIiIiKCTCZD8+bN8fjxYyxYsCDGZTW/ffuGCRMmwMbGBps3b8bw4cMxb948leMGDRqEjRs3qn1tfX19rFu3TmWNbkDMJp8T/YuuBGrTpg2GDh0qiT179gyDBg3i+t9ERGkIK5Y6pF27dpD9f3rn+fPnYz3OxcUFAJA9e3bUqVMnQdf4+vUr/v3333jXUrlz5w7CwsIAADVq1EjQNSjxbG2l2x4eAD+XpR8KBbBjhzTWsSNgbBz7c8qWBdq0kcYWL+bsbyIiIiIiIiIiip2xsTHGjh2LV69eYdiwYTA0NFQ5xsfHB3369IGtrS3y5cuH6dOnqxzTv39/bN26Ve3rymQyLF26FJMnT1bZN3nyZEyaNClJheqFCxeiYsWKktjOnTuxd+/eRJ+TiIhSFxa/dUjRokXRvn17AMCOHTsQGhqqcszr169x4cIFAMD48eNhYGAg2f/48WPY2NggX758uBK9d7ISZ2dnRERExLp/zZo1UT/3798/Qa+DEi/6zO/v3wFfX+3kQinPzQ148UIa6949/udNnSrdDgzk2t9ERERERERERBS/HDlyYPny5fD09ESnTp1iPObFixdwdHTE3r17YRtt9o5CoUDv3r2xM3o7wzjIZDLMmjUrxpnec+fOxYgRIxJdADc2NoaTkxMyZ84siQ8ePBjv379P1DmJiCh1YfFbxyxcuBA5cuTA27dvMWnSJMm+kJAQ9O/fHxEREahYsSKGDBmi8vzZs2fjxYsXeP/+PSZMmBDrdd68eYNx48bF+CFi27Zt2PH/6aedO3eGg4NDEl8VqcvKCjA1lcaePtVOLpTydu2SbhctClStGv/zypRRbY2+ZIkoghMREREREREREcWnUKFC2LNnD27duhXrUpseHh54GsOXlQqFAj169Ii322h0EydOxIoYZnCsWLEC/fv3h1wuT9D5IhUuXBjr16+XxAIDA9G7d2+2PyciSgNY/NYx1tbWOH78OHLnzo3FixejcePGWL16NRYvXozKlSvj/PnzKFeuHI4dOwYTExOV5yt/IIjpH3IzMzMULlwYALBkyRJUqFABs2bNwtatW7F06VI0bNgQPXv2hEKhQM+ePbF58+bke7GkQk8PKF5cGuO63+mDQgEcPSqNOTqKdb3VMWWKdDswUBTAiYiIiIiIiIiI1FWpUiW4uLjgzJkzqFSpktrPk8vlcHR0xL59+xJ0vaFDh2LTpk1Ry4FG2rhxI8aMGZPoYnXHjh3RuXNnSczZ2Rlr165N1PmIiCj1kCk4lEknff78GcuWLcPhw4fh5eUFQ0ND2NjYoEuXLhg0aBCMjIxifN7Dhw/Rtm1bBAcHY/fu3ahVq5bKMQqFAhcvXsTx48dx8+ZNvHjxAt++fYOJiQny5s2LmjVrok+fPqhWrVqyvDYfHx9YWVkBALy9vZEvX75kuY6ucnSUzgAeNAhYvVp7+VDKePAAKFdOGnv0CChVSv1ztG8PHDjwZztTJuD1ayB7do2kSERERERE6RDv4UnX8D1LpDkKhQLHjx/HlClT8ODBA7Weo6+vDycnJ7SN3qYwHnv37oWjo6PKUp2zZ89W6ZCqri9fvqB06dL48OFDVMzU1BQPHjxAkSJFEnVOIiJKmOT4bMbiN6U6vAmJ25w5wOTJf7br1AEuXtRaOpRCZs6Uzt4uWBB49Ur9md+AaJFfqpSYRR5p3Dhg/nzN5UlEREREROkL7+FJ1/A9S6R5crkchw8fxtSpU/HkyRO1nnPkyBG0bNkyQdc5cuQI2rVrp1IAX7t2LQYMGJCgc0U6e/YsGjduLInZ2dnh6tWr0NfXT9Q5iYhIfcnx2Yxtz4l0TIkS0m22PU8fjh+XbjdvnrDCNwDY2gJdukhjq1YBfn5Jy42IiIiIiIiIiNIvPT09tG3bFg8ePMDu3btha2sb73NatWqFNWvWJOg6rVq1wrZt21TigwYNwpkzZxJ0rkiNGjXCoEGDJLEbN25g4cKFiTofERFpH4vfRDomevHbzw/48kU7uVDK+PABuHVLGmvRInHnmjoVUB60+usXMHt24nMjIiIiIiIiIiICREvzzp0749GjRzh8+HC8a4IPHjwYWbNmhbu7u9rX6Nq1K5YvXy6JKRQKdO7cGa9evUpU3gsXLkThwoUlsYS0ciciotSFxW8iHVO4MGBgII1x9nfaduqUdDtzZqBmzcSdq2hRoHt3aey//4B79xJ+ruBgsWY4Z44TEREREREREVEkPT09tGrVCu7u7nB2dkadOnViPTYwMBBVq1aFvb09tm/fjuDg4HjPP2zYMPz7778q52nVqhWCgoISnG/GjBmxfft26On9KZeEhYWhW7duCAkJSfD5iIhIu1j8JtIxhoaigKmMxe+07exZ6XbjxoCRUeLPN2UKYGz8Z1suB/r3B6ItlxQjhQI4fBioV08U4QsXBnLlAooUAVasAMLCEp8XERERERERERGlHTKZDA4ODrh48SKuX7+OFnG0Mrxx4wZ69OiBvHnzYsSIEfCI5wvP6dOno127dpLY48ePMXny5ETlam9vj/Hjx0tijx49wqJFixJ1PiIi0h4Wv4l0UPRlc1j8TrsiIoDz56WxRo2Sds4CBYDo9wG3bwPxfZZ//hxo2BBo0wa4eBEID/+z79UrYPhwoG5d4PPnpOVHRERERERERERpi729PY4ePQpPT884j/v69SuWL18OW1tb1KhRA2vWrIG/v7/KcTKZDFu2bEHJkiUl8f/++w9Pnz5NVI7Tpk1D2bJlJbHZs2fj3bt3iTofERFpB4vfRDoo+rrfLH6nXXfvAl+/SmMODkk/77hxQPHi0tikScDJk6rH/v4t1govXRpwcYn7vNeviwL5z59Jz5GIiIiIiIiIiNKWYsWKITw8HH/99Ve8x16/fh2DBw9G7ty50aRJE+zYsQOflWZdmJmZ4dChQzBWanEYERGR6NnfRkZG2LJli6T9eXBwMEaPHp2o8xERkXaw+E2kg1j8Tj/OnZNuFysGWFkl/bzGxsD69YBM9icml4tZ3WvXilndISHAtm3imjNmAKGh6p373j1gwICk50hERERERERERGmPvr4+jh07hg4dOqh1fEREBE6fPo3u3bsjZ86cqFixIiZOnIgTJ05AoVBg0KBBkuPPnDmDCHXW94tB+fLlMXDgQEnswIEDcIlvRggREaUaBtpOgIgSLnrx28sL+PULMDXVTj6UfKJ/rtbErO9INWsC06aJWd2RQkOBQYOAMWNEy/Xfv2N+br58wNy5QLNmwIMHgKMj4OPzZ/+uXUCHDkAcSzlROvf7t3ifnDwJvH4NGBqK7gKdOon3ufLADCIiIiIiIkpZP378wN27d/Hs2TNkyJAB2bJli3pYWloiU6ZM2k6RdJyBgQF27tyJ0NBQHDlyRO3nKRQK3L17F3fv3o31mN+/f8Pb2xsFChRIVG4zZ86Ek5MTAgIComLDhg3DgwcPYGhomKhzEhFRymHxm0gHFSsmCkMKhdhWKIBnz4Dy5bWbF2nWr1+ijbgyTRa/AeCff0Thcds2aTy2tuX6+sCIEaJobmYmYrVri3XJq1YFAgP/HDtiBNC4MWBkpNmcSfedOgX07w+8fy+N374NbNkCVK8ObNokftcRERERERFRyvH390fPnj1x+vRpKCK/eIpB7ty5UaJECdja2qJEiRJRD0tLS8g4mpnUZGhoiL1796JVq1Y4c+aMyv6KFSvi6dOnCA4OTtB5DQwMYBb5xVUiWFhYYM6cORig1NrQw8MDK1euxKhRoxJ9XiIiShlse06kg0xNgegDF58+1UoqlIyuXJG2GtfXB+rU0ew19PSAjRuBYcPiP7ZWLbEG+aJFfwrfkWxsgOXLpbE3b0RrdaJICgUwezbQtKlq4VvZ9etAxYrA6dMplxsREREREREBM2bMwKlTp+IsfAOAr68vLly4gFWrVuHvv/9GvXr1kDt3buTIkQMNGzbEpEmTcPDgQXh5ecV7LkrfjI2NcejQIdStW1dl36dPn3Dr1i3s2rULzZs3h6mabS8nTJiA7NmzJymvPn36oGLFipLYtGnT4Ovrm6TzEhFR8mPxm0hHcd3vtC/6et/VqgGZM2v+OgYGonB95gxQubLq/po1xUzdS5eAMmViP0+3boC9vTS2YAEQFqbRdEmHTZsmug2o4+dPoFUr8d4jIiIiIiKilOHt7Z2k5wcEBODcuXOYO3cu2rVrhwIFCiBHjhxo3LgxJk+ejEOHDiX5GpT2ZMiQAceOHYOdnZ0k7u3tjRYtWqB27do4duwYvnz5gosXL2LSpEmwt7dXKXBny5YNEydOxPTp05Ock76+PlatWiWJ/fjxA+PHj0/yuYmIKHmx7TmRjipRQloUYvE77Yle/NZ0y/PoGjUSj/fvgRcvxEzzEiUAdQfKymRiHfDatf/EvL2B/fuBLl2SJ2fSHdu2ATNmqMbr1AG6dgW+fQNWrxZt+COFhgKtWwNnz2q+6wERERERERGpKlSoUKz7TExM8Pv37wSfMyAgAGfPnsXZs2ejYnnz5oWdnV3Uo0KFCjA2Nk5UzpQ2mJmZ4fTp06hfvz7u3LkTFX/9+jUaNGiAy5cvI2fOnKhTpw7qKH1JEBgYiA8fPsDS0hIWFhYabbtfrVo19OzZE1u3bo2K7dixA8OGDUOlSpU0dh0iItIsmYJ9ZyiV8fHxgZWVFQAxui9fvnxazih12rQJ6Nv3z3aJEmx9npZ8/Ajkzi2NXbsm1kJO7eztgRs3/mzXrClauFP6df8+YGcHKH9HIpMBixeLteEj70t//RK/1/bskT4/e3axHnj+/CmVMRERERGpi/fwpGv4no3b7du3YWdnh/DwcEnc0NAQw4cPx6hRo/D161d4eHhIHp6englel1mZkZERKlSoICmI888mfQoICECdOnXw+PFjSbxMmTK4ePEiLCwsUjQfPz8/2NjY4Pv371GxDh06wMnJKUXzICJKq5LjsxmL35Tq8CZEPa6u0kKogYEoHBkaai8n0pydO0Ub8UiZMgEBAbrx53vgANC+vTT24gVQpIh28iHt+v4dKFdOrAGvbO1aYMAA1eMjIoDevYHt26Xx8uXFWuAZMiRbqkRERESUCLyHJ13D92z8XFxc0LFjR3z58kVlX86cOTF79mz06tUL+vr6UXG5XI63b9/i3r17uHPnDm7fvo3bt2/j69evic4jX758qF69OmrUqIGaNWuiVKlSkmtS2uXn54datWrh+fPnknilSpXg4uICc3PzFM1n7ty5mDRpUtS2np4eXrx4EWenBCIiUk9yfDbjmt9EOir6mt/h4cCrV9rJhTQvesvzunV1o/ANAC1aANmySWPRC5mUfowfr1r4HjIk5sI3INrtb94MNG8ujd+7J85FREREREREyatBgwa4desWypQpo7Lv06dP6NevHypXrgwXFxdEzqvS09NDoUKF0LZtW8yZMwfOzs4ICAjA69evsW/fPowfPx7169dHlixZ1M7Dx8cHTk5OGDp0KMqVK4ds2bKhSZMmmDNnDq5evZqoFuykGywtLXH+/HkULFhQEr99+zaaNm2Knz9/pmg+gwYNgpmZWdS2XC7H0qVLUzQHIiJSH4vfRDoqa1YgVy5pjG3P0waFIuXX+9YkIyPVNb63bwfkcu3kQ9pz6ZKY4a3Mzk60O4+Lvj6wYwdgYyONr1wp1v8mIiIiIiKi5FWoUCG4urpi7NixMIxhNP69e/fg4OCAGjVq4OzZs4ipuahMJkPBggXRvn17zJs3Dy4uLggICMDTp0+xadMm9O3bFyVLllR7jeZv377h9OnTmDx5MmrVqgVzc3PUqFEDEyZMwMmTJ5M0y5xSn3z58uH8+fMqMwCvX7+OVq1aISQkJMVyyZIlC/r16yeJbd68GQEBASmWAxERqY/FbyIdFn32t4eHdvIgzfLwAHx9pTFdKn4DQM+e0m0vL1EIpfQjcv1uZaamwK5dYoBEfMzNgcOHARMTabxnT+DzZ42lSURERERERLHImDEjFixYgCdPnqBFixYxHuPq6orGjRvDzs4Op0+fjrEIrkxPTw8lSpRA7969sWHDBjx+/Bhfv37F2bNnMW3aNDRu3Fjt2eGhoaG4fv065s+fj2bNmiFbtmwoU6YMBg8ejD179sDb2zuhL5lSmYIFC+L8+fOwtLSUxF1cXNCtWzdERESkWC4jRoyQtN3/9esXVq9enWLXJyIi9bH4TaTDWPxOm6LP+rayUp0Bm9qVLw+UKiWNOTlpJxfSjilTVJdimDsXiNaxLE62tsCiRdLYx4+iZXo836cQERERERGRhhQtWhRHjx6Fs7MzbG1tYzzGzc0NTZo0QbVq1XDy5Ml4i+DKzM3N0bBhQ0ydOhWnT5+Omh2+YcMG9OjRA4ULF1brPAqFAo8ePcKaNWvQpUsXWFtbo0CBAnB0dMS6devw5MkTyNmWTufY2NjAxcUF2aKtsbd//34MGTIkQe+1pLC2tkanTp0ksZUrVyI4ODhFrk9EROpj8ZtIh7H4nTbF1PJczQ5gqYZMBnTrJo0dO8bW5+nF3btA9KWv7O3FWt8JNXgw0LixNHboELB1a6LTIyIiIiIiokRwcHDAgwcPsH79ehQoUCDGY9zd3dGsWTNUqFABu3btQlhYWIKvEzk7vG/fvti6dStevnyJ9+/fY9++fRg6dCjKly8PPT31vtb28vLCrl27MHDgQJQqVQo5cuRAixYtsHDhQty4cQOhoaEJzo9SXqlSpXDmzBnJutsAsHbtWkydOjXF8hg7dqxk29/fHzt27Eix6xMRkXpkipQaGkWkJh8fH1hZWQEAvL29VdZ1oT8uXADq1/+zbWoK/PgBqPn5n1Kh0FDAwgL4+fNPbM8eINrAUp3w4oXqjPUbN4Bq1bSTD6WM8HDxZ3znzp+YsTFw/z5QvHjizunrC5QuDSgvpZUxoyiy61pXBCIiIqK0hvfwpGv4ntWMsLAwbN++HbNnz8abN29iPS5fvnwYMWIE+vXrh8yZM2vs+t++fcPNmzdx9epVXLt2DW5ubvj9+3eCz2NiYoKqVauiZs2aqFGjBuzs7DSaJ2nW+fPn0aRJE5VBC8uXL8ewYcNSJIeGDRvinNLMlbp16+LChQspcm0iorQoOT6bsURGpMOiz/z+9Qvgcka67eZNaeEbkA5w0CVFi4q21cqOHNFKKpSC/vtPWvgGgH/+SXzhGwBy5wY2bJDGfv4Ug0JCQhJ/XiIiIiIiIkocQ0ND9OnTB8+ePcPmzZtjbU3u4+ODMWPGwMrKCmPHjtXYOtzm5uZo1KgRZs2ahUuXLiEwMBCurq6YP38+mjdvjqxZs6p1nt+/f+Py5cuYNWsWGjdujKxZs6JChQoYNmwY9u3bB19fX43kS5pRv3597Nq1C7JoLRKHDx+O3bt3p0gOgwYNkmy7uromauAFERElHxa/iXRYrlyAubk09vSpdnIhzYje8rx8eSBHDu3kogmtWkm3WfxO27y9RaFbWYkSwLhxST9369ZA377S2L17wPjxST83ERERERERJY6hoSF69eoFT09PbN26FUWLFo3xuO/fv2PRokUoVKgQunXrhvv372s0D2NjY9jZ2WHcuHE4duwYPn/+jMePH0vW/1aHXC7HvXv3sHLlSnTs2BF58uRB4cKF0aNHD2zcuBGenp4ptsY0xaxdu3ZYs2aNSrxHjx44ffp0sl+/bt26krb7ISEhuHHjRrJfl4iI1MfiN5EOk8m47ndaE7343aCBdvLQlOjF72fP+B5Ny4YNA4KCpLF16wAjI82cf9ky1d95y5eL9eSJiIiIiIhIewwMDNCjRw94eHjg0KFDsLe3j/G48PBw7Ny5E+XLl0f9+vVx5MgRREREaDwfPT09lCxZEgMHDsSuXbvg5eWlsv63ul6/fo3t27ejX79+KFGiBHLmzInWrVtj8eLFcHNzS9S65pQ0AwYMwMyZMyWx8PBwtG3bNtkL0VmyZEGFChUkMbY9JyJKXVj8JtJxLH6nHQEBwK1b0piDg3Zy0ZSKFYG8eaWxU6e0kwslr8OHVWf29+0L1KypuWtkzAg4OYk1xJU5OgIPH2ruOkRERERE6Vl4eDjWrFmD6tWrI1u2bDAzM4OtrS0mTpyIjx8/auQaMplMrUezZs00cj1KOfr6+mjdujWuX78OV1dXtG3bVqVFdaQLFy6gdevWKFy4MObPn4+AgIBkzc3a2hpdunTBmjVr8OjRIwQEBOD48eMYN24c7O3tYWhoqNZ5Pn/+jCNHjmDMmDGoVq0azM3NUa9ePUyZMgXnzp3Djx8/kvV1kDB58mSVdb6Dg4PRtGlTPHnyJFmvXa9ePcn2xYsXk/V6RESUMCx+E+k4Fr/TjlOnALn8z7apKVCjhvby0QQ9PaBpU2nM2Vk7uVDy8fMDBgyQxnLkAObP1/y1SpcWM8CV/fgh3mfv32v+ekSRFArg5Utg3z7R0WDFCjHg4/lzsY+IiIgoLfj8+TNq1KiBwYMH48uXLxg/fjwWLFiAggULYt68eShTpgyuXLmi7TRJR9jZ2eHAgQN4/vw5/v77b2TIkCHG47y8vDBhwgTky5cPvXv3xr1791IkPwsLCzRr1gzz58/H9evX8e3bN1y5cgWzZ8/GX3/9hcyZM6t1nuDgYFy8eBEzZ85Ew4YNkSVLFlSsWBEjRozAgQMHNDZohKRkMhmWLl2Krl27SuJfv35Fo0aN4OXllWzXrlu3rmTbzc0NQdFb4RERkdbIFFykhFIZHx8fWFlZAQC8vb2RL18+LWeUup08CSgPhLawAD5/Fi3RSbd06ADs3/9nu0UL4OhR7eWjKQcPAu3a/dk2MQG+fAFiueclHaNQAM2bi99FynbsEDOyk+uajo7A7t3SeOHCwPnzQP78yXNdSp/u3wc2bxa/n2P7zqpIEaB7d2DgQDHwg4iIKD3hPXzaER4ejrp16+LatWuwt7eHi4uLpFg5adIkzJ07F1myZIG7u3usazurQyaT4e+//8aQIUPiPM7MzEzj7ym+Z7UnICAAa9aswapVq+Dn5xfnsfb29hg6dCjatGkDI02tpZVAERERePz4Ma5du4Zr167h6tWreJ/IUddFihRBjRo1UKNGDdSsWRNFixaNdUY8JUxYWBhatmypst63jY0Nrl+/juzZs2v8mkFBQciaNSvCw8OjYi4uLqhfv77Gr0VElNYlx2czFr8p1eFNSMK8fi0KPsr8/ICcObWTDyVOaKgomHz//ie2YYNoG63rvn4FsmeXzmo/exZo2FB7OZHmLFoEjB0rjbVsKdqgJ+d9/O/fQIMGwPXr0ni+fGLARZUqyXdtSh/u3AH++Qc4c0b955ibA1OmAEOHAmp2TCQiItJ5vIdPO9asWYPBgwdDJpPh8ePHsLW1lewPCwuDra0tXr58iWbNmuH48eOJvpZMJsPUqVMxbdq0JGadcHzPat/v37+xb98+rFy5Erdv347z2Fy5cmHAgAEYMGAAcufOnUIZxkyhUMDLy0tSDH/69GmizpUjRw7UqFED9vb2sLOzQ8WKFWFiYqLhjNOPnz9/wsHBQWW975o1a+LcuXMwjr5+mgbY2NjgxYsXUdv79+9HO+XZH0REpJbk+GzGtudEOi5/fjGTVlkiP3eTFl29Ki18A6rtwnVV1qxA1arSGFufpw0nTgDjxkljlpZi4EZyD2A3MREFdhsbadzHB6heHZg1C/j1K3lzoLTJwwNo3x6oVClhhW8A+PYNGD1arHX/7l3y5EdERESUHBQKBebOnQsAqF69ukrhGwAMDQ3Rs2dPAMCJEyfw4MGDlEyR0hATExN0794d7u7uuHnzJrp27RrretsfP37E9OnTYW1tjXbt2uHcuXOQK4+uT0EymQwFChSAo6Mj1q5diydPnuDz5884duwYxo4dCzs7O7XXDff398fhw4cxduxY1KhRA5kzZ0a1atUwcuRI7N+/Hz4+Psn8atKWjBkz4sSJEyhZsqQkfvXqVQwYMADJMf8vODhYJQciIkodWPwm0nH6+kCxYtIY1/3WPdEHzFeqBGh5QLNGRZ/lffasdvIgzbl6FejcWXWt4y1bUq7tc44cwOXLQKlS0nh4OPDvv6IV9ezZLEKSet6+BXr1Eu+nAwdiP87SErCzE4MsYnuvu7kB5cuLNvxEREREuuDmzZvw9vYGADRo0CDW4xwcHKJ+3q+8bhdRIshkMlStWhU7d+6Et7c3ZsyYgTx58sR4bHh4OA4ePIiGDRuiaNGimD9/fryt01NCtmzZ0Lx5cyxYsACurq749u0bLl26hFmzZqFx48ZqrxseFhYGNzc3LFu2DB06dICVlRWsrKzQoUMHLFu2DG5ubggNDU3mV6PbLCwscPbsWeTNm1cS37ZtG+bNm6fx6/2KNuLe1NRU49cgIqLEYfGbKA2INqgR9+9rJQ1KJLlczGBV1ry5dnJJLo0aSbcfPwY+fNBOLpR0p06JP9OgIGl89mzgr79SNpdcuYBLl4AaNVT3+fqKttX584vuA3PmiM4YXPCFlL18CfTpAxQtCmzdKl2iIZKlpRhQ4ekp3leursC1a2KZkRs3gC5dVJ/z5Yv4+7B3b7K/BCIiIqIku3DhQtTP5cqVi/W4smXLQk9PT+U5SSWXyxEU/QaD0hVLS0v8+++/ePv2LZycnFAjppu8/3v9+jUmTJgQVRw+f/681maDR5chQwbUrl0bkydPxunTp/Hlyxfcu3cPK1euRIcOHRLUut3Hxwf79+/HyJEjUa1aNWTOnBk1atTA2LFjcejQIXzgFysq8ubNi2PHjqkUoidNmoQDcY1yToSfP39Ktjnzm4go9WDxmygNqFBBuh3PckmUyri6qs5MbdlSO7kkl8qVxVq4ytj6XPcEBQEjRoiW/NG6e6FLF2DiRK2khWzZgIsXRaE7tnbr7u7A5MlisJCNjVinnF0a06/QUODkSaBtW9E9ZfNm0TEguqxZgfnzgdevgRkzxLHK7zGZDKhWDdi1S/wuL1JE+vywMNEhYcOG5H09REREREn1+PHjqJ8j11yMibGxMXL8v/3NkydPknTNd+/eYcCAAShUqBBMTEyQKVMmGBsbw97eHsuXL1dpKUzpg6GhITp06ICrV6/i3r176NOnDzJkyBDjsWFhYdi/fz8aNGiAYsWKYeHChfD390/hjOOmr6+PcuXKYciQIXBycsL79+/x+vVrbNu2DQMGDECZMmUgU3PdsJCQEFy/fh2LFi1C27ZtkTdvXuTLlw+tW7fG3Llzcf78eXz79i2ZX1HqV6FCBezevVvl/2u3bt1w69YtjVwjPDwcISEhkhhnfhMRpR4yRXIseEGUBMmxuH1ad+kSULfun21DQ+DHD8DYWGspUQIMGgSsXftn29ZWzIxO7jWTU1rbtsChQ3+2O3cGdu/WXj6kHrlcdJM4dAhYs0bMZo2uZUvAySl1/M65exeYNEn91vodOogZ4YULJ29epB0KBfDxI/DsGfD8uXh4eABXrqh2LlCWMSMwapR4ZMmi/vW+fROt06N38wBEgb1XrwS/BCIiolSP9/Bpg52dHW7evAlA/JlGbxusrGzZsnj48CEA4MuXL8iaNWuCrxdZlMqbNy/69euHsmXLAgDc3d2xZs0aBAYGwsbGBseOHUOx6Gu9xSO+tZJ9fX1RpUoVAHzP6orAwEDs3LkT69atkwzUiImhoSHatGmDAQMGoE6dOmoXlrXp+/fvcHd3x40bN+Dq6oqbN28iMDAw0ecrVqwYqlSpgsqVK6NKlSooW7YsTExMNJewjli0aBHGjh0rieXKlQtubm6wtrZO0rn37NmDLtFagPn6+iJXrlxJOi8RUXqUHPcTLH5TqsMb54T79k31y/nbt4GKFbWSDiVAaKhY21u5oDhrlpihmtasXw8MGPBnO3t20TJYjz1IUp2AAMDFBThzRjw+foz92C5dRKtoQ8MUS08tbm5i/XEnJyC+7wxMTcXM3JhaV5PuCAsTLcjd3MQgiMhid0K6Z5qYAAMHii4GOXMmLg+5XHRIWLlSGpfJgG3bgG7dEndeIiKi1Ir38GlDqVKlomZyf/78GdmyZYv12GrVqsHNzQ0A4OXllagikkwmQ/Xq1XHy5EmYR2sT5uXlhRo1asDHxwf58+fHnTt34swnpnOri+9Z3aJQKHDjxg2sX78eTk5O+P37d5zHFylSBL1790b37t3jHNCR2sjlcnh6euLGjRtRBXEPD49En8/Q0BBlypRBlSpVoorixYsXh76+vgazTn0UCgX69++PjRs3SuJlypTBtWvXkClTpkSdNyIiAqVKlYKnp2dUrFy5crh3716S8iUiSq9Y/KZ0gTfOiVOsmPiSP9LatdJCI6VOJ06oru/9+jVQsKB28klOb94AhQpJY3fuqLbtJ+1QKEQXiUWLRME7vuXSjI2BefOAYcNS9wCG0FDg8mXgyBHg6FHg/fvYjx05Eli8OO11XUjrnjwBli0T3Qli6kygjowZgb//FjO9LS2TnpNCAUydCsycKY3r6QE7d4rOF0RERGkF7+HThsKFC+P169cAxCzUuIpCtWrVwtWrVwEAHh4eKF68eIKv9/btW1haWsbazvrgwYNo164dAGDEiBFYunSp2udm8Tt9+Pr1K3bs2IF169bh6dOncR6rp6eHxo0bo3fv3mjevDmMjIxSKEvN+fr1K9zc3ODq6oobN27Azc0NP378SPT5MmbMiDJlyqBcuXIoX748ypUrh1KlSsX6d1JXhYWFoXHjxrhw4YIk3qxZMxw5ciRRAwB27doFR0dHSezQoUNo3bp1knIlIkqvWPymdIE3zonTpQuwZ8+f7X79xExbSt2itwK3tweuX9dePsnNxgZ48eLP9rx5wPjx2suHBF9foHdvUfRWR7NmwIIFQIkSyZuXpikUYsDFwYNigFBMM8JHjRIDAFgAT/18fIDRo4H9+8WfbULJZEDVqkDPnkCnTkC0CUdJplCIFvzz5knj+vri3+v27TV7PSIiIm3hPXzKCg8Ph6EG2i5t2bIFPXv2jNpO6Znf8YmIiIClpSUCAgKQJUsWBAQEQE/NUbdse56+KBQKuLq6Yt26ddi3b5/KOszRZc+eHY6OjujduzdKly6dQllqnlwux7Nnz3Dr1i24u7vj1q1buH//PkJDQxN9Tn19fRQvXjyqGB75SEjnhdTo69evsLOzw7NnzyTxkSNHYsmSJQk61/Pnz9GwYUN4eXlFxcqVK4e7d+/qRIt9IqLUKDnuJwySfAYiShUqVpQWv+/c0V4upB5vbzETVVnXrtrJJaU0aCAtfru4sPitbefOicEznz/HfVzRokCTJkDfvkCpUimTm6bJZEClSuIxbpx4ROt+hiVLxDIS//6rlRRJTXv3AoMGxd/SPlKGDOI9bGMjHra2gIND4lubq0MmE+vJh4WJjgKRIiLEzG99faBNm+S7PhEREVFCKM/0jq+VdHBwcIzP0yR9fX2UK1cO58+fR2BgIDw8PFCyZEm1nstidvoS2UK/evXqWLZsWdRs8NjahH/+/BnLli3DsmXLUKlSJfTq1QudO3dO1Nr12qSnp4cSJUqgRIkS6N69OwAgJCQEDx8+jCqIu7u7w9PTE+rOfYuIiMCTJ0/w5MkT7Ny5MypuZWUVVRAvX748SpYsiUKFCulM2/SsWbPixIkTqFq1Kr4otQtbunQpKlSooDKLOzaHDh1Cz549VWbcT5s2jYVvIqJUhjO/KdXhqPHEuXwZqFPnz7ahIfDjh2hNTKnTuHHAwoV/ts3MREvmzJm1l1NyO3xYWuwxNga+fhWFKUp5x44B7dqJ4lx0GTIAdesCjRoBf/0lCodp0ZYtolNGRIQ0fuaMeO2UuigUwOTJwNy5sR9TrpyY0V2mjFgSxMYGyJtXe+35FQrRUn/5cmncwEB0IWjRQjt5kfYFBgLXrgEPHgAvXwKfPgE/f4qHnp74Paz8MDX987OBgfjdHfkIDgZ+/frz+Pnzz88AYGEhHlZW4u9GlSpi2REd+b6SiFI53sOnPOV1ZhMrd+7ckrW2O3fujL179wIA7ty5gwpxrE+VK1cu+Pn5IXPmzPj27VuSc4lNly5dsOf/o/xdXFxQv359jZyX79m0T6FQ4ObNm9i8eTP27t2LoKCgOI83NjZGmzZt0Lt3b9SrV0/tLgO64Pv377hz507U7HB3d3d4e3sn+bzGxsawsbGJKsCXKFECtra2sLGxgXEq/TLyypUraNCgAcKUvgTJmDEj7t69Cxsbm1ifFx4ejokTJ2LRokUq+6pWrYobN26w+E1ElASc+Z0Eu3fvRsuWLZExY0Ztp0KULMqXl26HhQEPHwKVK2snH4rb58/A6tXSWLduabvwDYhiqp7en/WkQ0JEm/cGDbSbV3rk5gZ07Kha+M6dWxQXe/YU6yCndb16icFC3btLW2d36wbcvw/kyaO11CiaiAhg4EDV2fqAaFk+fLho358/f8rnFheZDFi6VPxdU/69Hx4uBp8cPAg0b669/ChlffsmOhfs3Cn+/dPmMORs2cQyFr16AbVqcbkHIiJdkpg1tuNTSqm9k7e3d6zF75CQEPj7+wOA2jOxE0seeeMI6MwMU0odZDIZ7OzsYGdnh2XLluHAgQPYvHkzrly5EuPxISEh2LNnD/bs2YP8+fOje/fu6NatG4qmgVHgmTNnRt26dVG3bt2omJ+fH+7fv4979+5F/ffFixdqzxAHxP+zR48e4dGjR5K4np4eChUqJCmIlyhRAsWLF0dmLX/pVatWLWzYsEGy5MPPnz/RoUMH3Lx5EyYmJpLjX7x4gT179mDnzp14odzG8P9Kly6N/fv3s/BNRJQKpZvit56eHooWLYpmzZqhT58+qFq1qrZTItKozJnFDDfl5Wtu3GDxO7WaOVPMyoqkpyfWGk7rsmQR78n/Lw8HQLTdZvE7ZX37JtYbjt7NsEULYPNmURBJTxwdAT8/YMyYPzF/f1FIPX2aBaHUIHL2dEyF7y5dgJUrxazW1EomEzlGRADr1v2Jh4UBrVsD69eL9xulXQEBYhDEypXA9+/azkYICAC2bROPkiWBiRPFoCiDdHOHSEREyurVqxf18/3799GyZcsYj3vw4EFUUVr5OQmxatUqZM6cOapVc2w+fvwY9XPu3LkTdS2ijBkzokePHujRowdevHiBrVu3Ytu2bXj//n2Mx3t5eWHmzJmYOXMmqlatiu7du6Njx446v+61MktLSzRq1AiNlNqdBQUF4eHDh5Ki+KNHj+JdQz06uVyOly9f4uXLlzh+/LhkX7Zs2ZA/f34UKFAA+fPnV3lkzZo12QvJPXr0wLVr17BR6ebywYMHGDVqFFavXg1fX184OTlh9+7duHXrVqzn6datG9auXQtTU9NkzZeIiBJHp9qeu7q6Yv/+/Xj58iVkMhlsbW3RrFkz1KhRQ63nHz58GG3btoVMJkPJkiXx8OHDZM6YEoPtpxKvd2/RwjdSu3bA/v3ay4didveuaDeq3GbZ0RHYsUN7OaWkf/4BZs/+s12hAteoT2m9egFbt0pjPXsCmzZprzW0tikUQKtWohW8sn37xEAB0q5Fi4CxY6UxPT1g7VrRtl5XyOVA//7i71p006eLteY52CJtiYgQf94TJwJKywumWqVKiQK98lI6RETx4T182qBQKGBtbQ0fHx/UrFkz1hmyc+bMweTJkwGIInnZsmUTfK0CBQrAxMQkzvbtISEhyJkzJ75//44cOXLAz89PY0UxvmcpIiIC586dw+bNm3HkyBFJG+yYGBoaokmTJujWrRuaNWuWatt6a1pYWBiePXsWVQy/f/8+Hjx4gICAgGS5npmZmaQwbmVlBQsLC2TNmlXlYW5unuj29IGBgciRIwfCw8NV9unp6Um6TkRnaGiI5cuXY+DAgZzxTUSkIcnx2Uwnit+hoaHo3bt31Do/0ZUtWxaLFi1Sa8RptmzZ8PXrV8hkMkREX+CTUgXehCTe5s1Anz5/ti0tAV9ffpGemgQEAHZ2gHK3JBMTwMMDKFBAa2mlqOjr08tkYp3T7Nm1llK6cuwYEH0SR+3aYga+oaF2ckotAgLEWrgfPvyJ5ckDeHoCmTJpL6/07vRpoEkTaczQUAxMaNVKKykliVwO9O0rHawWqWNHYMMGvt/SCh8fMbjt8uXYjzE2FgPiSpYULfvNzMSSE3K5WMc7ci3vyJ8jH+Hh4u9B5CNyTXBTU/H8yJ9NTcW5vnwRHS08PYFbt6SdgmLSsaOYqc5JdhQThQL4+lV0kAkNFduZMoklKNL7Z4n0ivfwaceaNWswePBgyGQyPH36VKW9enh4OGxtbfHixQs0bdoUJ06cUDlHUFAQWrVqhdu3b2P69OkYPny4yjEFChTAu3fv8PLlSxQqVCjGXLZs2YLe/2+NM2nSJMxWHkGdRHzPkrLPnz9j9+7d2LRpk1oTpbJkyYKOHTuiW7dusLe3T5cFUH9/f3h4eEgeT58+hY+PT4rlIJPJYG5uLimI6+npITw8HOHh4YiIiIjx51+/fsHHxydBLd4jlShRAlu2bGFHWSIiDUu3xe8OHTrgwIEDAMQ/bDGlLJPJ0K9fPyxbtkxlfQ5lxYsXx/Pnz1n8TsV4E5J4L14ANjbS2PPnQBpYoihNePFCzCB98EAanzoVmDZNKylpRUiIaE/869efmJMT0KGD9nJKL0JDgRIlgNev/8QyZQIePUp96yRry/79qu/FMWOAhQu1k0965+0NlC8vBiYo27VLtDvXVXI5MHkyMG+e6r6iRcVgNjUbG1EqdeSIGJAY02xvmUwMQurZE2jUSAyCS2leXuL33caNsRfCs2UTLfnbtEnZ3Ch1+fIFuHlTPG7dEp8h3r1TXTolkpkZYG0tPlfkzw8UKiTuT2xsxM/pZKJcusN7+LQjPDwcdevWxbVr11CjRg04OzsjQ4YMUfv/+ecfzJ49G1myZIG7u3uM6yGvW7cOAwcOBAAYGBggMDAQGTNmlBxToEABeHl5oVatWjhx4gQyRRv5d//+fdSvXx9fvnxB8eLF4ebmptG1gvmepZgoFArcu3cP27dvx+7du6PWto9LoUKF4OjoiG7duqFIkSIpkGXq9uPHD3h6eqoUxl++fBnnbOrULEeOHOjYsSO6dOmCatWqpcvBDkREyS1dFr9Pnz6Npk2bRv3Doq+vjy5duqBhw4awtLREUFAQnjx5glOnTsHV1RWVK1fGsWPHYGlpGeP5SpQogWfPnrH4nYrxJiTxFAoxS1FpWSysXg0MGqS9nNKbiAjA3R24d0/MZv76FQgKEl8UXr0qbXUOiNle166lv1kyTZqI2ZyR+vUTX7BT8lq9Gvj7b2ls82bRBp0EhQJo3Bhwdv4TMzYWg1f+/08TpZCICNGV4Pp1aXzuXGDCBO3kpGn//QcMHSred9ENGCCK41mypHhalARyOTBpEjB/fsz727UDZs4Eok2k0xq5HDh+XAzEiz44L1KPHsCKFYAGaw6Uynl5AYcOiUEc166J94km6OmJgnhkMVz5YWUF6Otr5jqU8ngPn7Z8/vwZzZo1g5ubG0qUKIFevXohY8aMOHXqFE6ePIns2bPjwIEDqF27dozPj5w9Doji99evX2FmZiY5pmXLljj2//WGcufOja5du6J48eIICwvDzZs3sWfPHoSGhqJy5co4ePBg1PtLU/iepfiEhYXB2dkZO3bswJEjR9Ra99rOzg7dunVDhw4d0tT64JoQEhKCN2/ewMvLC2/fvoWXl5fk8f79+0TNxE5O3bt3R5cuXVC/fn0YGBhoOx0iojQtXRa/27Zti8OHDwMQ636cPXsWdnZ2MR774MEDjBkzBm/evMGFCxdgbW2tcgyL36kfb0KSpls3YOfOP9utWgH//ytEyUihEGsoT58uvjBUh5WV+EIxhl9Vad6SJcDo0X+2CxQQAwQ4gDb5BAUBRYoAfn5/YnZ2orDI/+9SL14AtrairXCkvn1FO2pKOStWANG7ZLZqJQoyaek9e+KE+Lc7MFB1X7ZsotD/99+irTWlbr9+Ad27AwcPqu7Ln1/Msm7QIOXzUkdEBLBuHfDPP2LgXnQFCojPl9Wrp3hqlEIiIoAzZ8RAudOnYx6Uk5yMjYHChWMujOfMmbZ+76dFvIdPe8LDw7Fhwwbs2LEDnp6eCAkJgbW1NVq0aIERI0YgdxzrYvz48QMtWrTA3bt3MWPGjBjbngPAkydPcOjQIVy+fBkeHh74/Pkz9PT0kCNHDlSuXBmdOnVCmzZtoJ8MI2P4nqWE+PbtGw4cOIAdO3bgclzr2fyfgYEBHBwc0LlzZ7Rs2VKjXQvSqtDQUPj4+EQVwyML5L6+vvj69avkocnv83PkyIFcuXLh0aNHKvuOHTuG5s2ba+xaREQUu3RZ/M6XLx8+fPgAmUyG5cuXY8iQIfE+Z+3atVi6dClOnz6tsnYQi9+pH29CkmbHDvHFa6TMmYHPn9PfzOKUFBIiChf796v/nGLFxEyr9NqS/tEjsbayspcvxZeelDzmz1edLXv5MlCrlnbySe3+/lsUACLp6QFPnqSe2Zpp3bt3YgDCz59/YgULAnfvps2Z0G/eAJ06ic4hMcmdW8wm7ttXOy2yKX4fPwItWoi20NG1by+6m+jCe9ffHxg8GPj/ilMSenrAv/+KAjknv6Qd/v6iC8zatcDbt9rOJmaZM4tlW6pXF59batUCsmbVdlakjPfwpGv4nqXEevv2LXbt2oUdO3bgWWxrxygxMTFB06ZN0alTJzRt2lSyjAAlnEKhQFBQkEpB/OvXrwgMDIRMJoO+vj4MDAyiHsrb+vr6MDQ0hJWVFQoXLgxzc3MAYkJd1apVJTP8rays4OHhobJsAxERaV66LH4bGxsjLCwM+vr6+PLli8o6QLG5ceMGBg8ejL1796JYsWJR8bRS/P78+TOWL1+Ow4cP4+3btzAyMkKxYsXQuXNnDBw4EEZGRhq5zqlTp7B27VrcuXMHAQEByJ07N+rUqYOhQ4eiQoUKGrlGdLwJSRpfX9H6XJmLC1C/vnbySevkctHCVN3Z9RkyiKLalClireX0SqEQxRzlWchr1gD/XxqONCw0VBQOP3z4E2vSBDh5Uns5pXa+vmKmvPLa9F27SjtrUPJQKEQR8cQJafzSJdEGPa0KDwdWrRKFReWiv7LcuYHx44H+/TkTPDV5/Bho2lQM2lBmYCA6GAwcqFuzVhUK8btuyBDg+3fV/XZ2wK5d4t8V0k0KhVjDe/VqYN8+8TkhLiYmQOXKQLVqQNmyopOBtbVY3zvytvPHD+DbNzEQxMtL/H14+1Z0U3n+XPqZL6n09UUBvFUrsSY9bxe1j/fwpGv4nqWkUigUuH37NrZv3469e/fi8+fP8T7HzMwMrVq1QufOneHg4ABDzlJJVdatW4eB0b6U+vfffzFjxgwtZURElH6ky+K3hYUFAgMDYWVlBS91ewn/n6enJ7p27Yrt27ejZMmSANJG8dvd3R2tWrWCr68vHBwc0LJlSwQHB2Pbtm14/PgxypcvjxMnTiBP9ApoAsjlcgwcOBAbNmyAhYUF+vfvj4IFC+L27dvYtm0b5HI5Fi9ejGHDhmnwlQm8CUm6SpWAO3f+bA8aJJ3BSJozbx4wcaJqvHhx8bCwELNVLCyA0qXFIIT0XPRW5ugovjyP1KZNzK1iKel27hTdCZTduiV+V1DsJk8G5sz5s62nJ77Ej9ZUhjTswAExU1ZZemo77+UFjBwZ96CqXLlEEXzw4D+FJ9KOs2fF+/XHD2nc3Fy8l1Nrm3N1eHmJbkJXrqjuy5RJfLZ0dEz5vCjxvn0DnJzEgMP79+M+1twcaNtWFJgbNEj6gJvv3/8UwqM/YhpkoS6ZDGjYEOjdG2jZUrRPp5THe3jSNXzPkiaFhYXhzJkz2LFjB44fP47fv3/H+xwLCwu0a9cOnTp1Qq1atZKlvT8ljEKhgIODA86fPx8VMzY2xtOnT1U6yxIRkWaly+J31apVcevWLeTOnRvv379P8PNfvXqF9u3bY/PmzShXrpzOF7/fvXuHSpUqwd/fHyNGjMDSpUuj9oWEhOCvv/7CxYsXUbFiRVy/fh3Gibz7nzBhAubPn4/s2bPjxo0bKFKkSNS+M2fOoGnTplAoFHByckL76N9QJxFvQpJu7lzRHjWSpSXg48MWlZrm6SkK2srrApuZiYJu8+a6NctLG7ZuBXr1+rOdObNovclCjmYpFEDFisC9e39itWqJlucUt4AAMbtNeRbugAGiNSwlj8BA0dr248c/MUtLwMMj/bW4dXcXs8DPnYv9mBIlRAGyTp0US4uUrFoFjBgh1kpWVrCg6KxRooRW0tKoiAixbMaUKaqvEwC6dAH++083WrqnV2FhYpDGjh3A0aNiuZ64lCsnuhR17gykRJdPhQL49EkUwaMXx1++jD9fZZaWomPBoEFAtmzJlzOp4j086Rq+Zym5/PjxA8eOHcOePXtw9uxZhCt/YRSL3Llzo0OHDujUqROqVq0KGb9M0ponT56gbNmykppBy5YtceTIEe0lRUSUDiTHZzO9JJ8hmTVr1gwA8PHjR/yMrQdkHAoXLoyDBw+id+/ecI9tIUUdMnbsWPj7+8Pa2hrz5s2T7DM2NsaGDRugr6+PO3fuYNWqVYm6xpMnT7Bw4UIAwMyZMyWFbwBo3LgxunXrBoVCgaFDhybqz4WSV9u20m0/P+DUKe3kkpaNGiUtfOvpAUeOiHa9vFeJX+PG0u3v34Fr17STS1p25Yq08A2IWaUUv2zZVFvxb9kCJGIsHqlpwgRp4RsAli9Pf4VvAKhSBXB2Fn+HY1u6xMMDqFtXzM5NysxJSpjwcFEcHDpUtSBsZyfaSaeFwjcg2ktPmgS4ugKFC6vu371bvFYnJ1HEpNRBoQBu3waGDwfy5hWDMvfti72QbGQkOsTcuAHcvSu6baTU8pYymSha16wpZm/PmwccOiSWE/j5E3jzBjhzBpg2DahXT7Rgj42fn1iX3spKdMZ49SplXgMREVGkTJkyoWvXrjhx4gT8/Pywfv161KtXL86Ctq+vL5YvXw47OzsULFgQo0ePhqurK+RyeQpmTgBQsmRJDBkyRBI7evQozp49q6WMiIgosVJ98XvYsGHIkSMHAGDNmjWJOkfBggVx6NAh9O/fH36aXGwshb148QL79+8HAHTv3j3GWd2FCxdG3bp1AQDz589Xa4RhdHPnzoVcLkeGDBnQtWvXGI/p168fAMDPzw8bN25M8DUoednYiC/Nla1bp51c0io3N+D0aWls9GiurZ4QuXKptt3mGtSat369dLtwYfElOKln1ChpN4LQUGDJEu3lk5Zdu6b6b1WTJkCHDtrJJ7WoWRNwcRH/fxo2jPmYHTuA8uVFsYuSV2CgWN87puVkOnUCLlwAcuZM8bSSXZUqYiBVz56q+z5+FK+9cWNRsCTtefdOLNdhayvW6F6xQnTViU3BgmJm//v3wPbtYk3v1DSAU18fKFAAaNQImDoVOH9edGU5cgTo0UN0DYpJcLBo7W5jI2awx9finYiIKDlYWFigX79+OH/+PN6/fx9V4I6Ll5cXlixZgurVq8PKygpDhgzBxYsXE/X9LiXOtGnTomoRkYYNG4bQ0FAtZURERImR6ovf5ubmOHz4MMzMzDBjxgxcvHgxUecpUKAAjh07hqw6PHXowIEDiOxS3yCOBQQdHBwAAP7+/rh06VKCrhESEoLjx48DEC3nM8WyOLGdnR3MzMwAIKogT6lL//7S7VOnxEwO0oy5c6XblpZipgklTNOm0m0WvzXr61fVddQHDxZfJpN68uQRM9GUrV0LfP6snXzSqpAQ1X+3MmYUBcbUVIjRpurVRetiV1fVgUMA8Po1UKOGmN1JyePWLbGMhLOz6r4pU8SyJ3HNStV1mTKJ7hd794r1oKNzdgbKlBEF8rdvUzq79Ov7d2DzZtEFIn9+YPJksTRPbAwNxTreJ0+KNuPjxgHZs6dYuklmairW9t66FfD1FYN/atWK+Vi5XLxfy5cXg6muXmWHAiIi0o7cuXNj2LBhcHV1xZs3bzBv3jyUK1cuzud8+PAB//33H+rVq4c8efKgf//+OHv2LMLCwlIm6XQqS5YsKt1Wnz9/juXLl2spIyIiSoxUX/wGAHt7e7i7u6N8+fJo2LAhhg8fDv+4hrDHwtraGpcvX0bhmHr26YALFy5E/RzXB6Ty5cvH+Bx13L59G9//3zczrmvo6emhTJkyAIAbN24gODg4Qdeh5NepE2BhIY2NHi2+BFIWECCKCz16iHbpY8eqtkgmKS8v4NgxaWzMGPGlMCXM/1e2iPLsmVjfkTRj1y5pi1NDQ9EemRJm7FjpgIFfv8Qat6Q58+eLFt7KZs0ShRySimyrvXq1agEyJATo2BH4/+o1pCFyObB0qRiA8Pq1dJ+xsfhdO326WP4kPejYEXj4EPjrL9V9CgWwbRtQtCjg6MjPlMklIkK0Au/cWQzA7NMHiG/Ms52d+L3h6wscPiyKwbo+GM7UVLzPLl8Wg3wdHQEDg5iPPX1aFMlr1ABOnGARnIiItKdAgQIYP3487t27h6dPn2Lq1KmwsbGJ8zn+/v7YsGEDGjdujJw5c6JHjx44duwYfv/+nUJZpy89e/ZE5cqVJbGZM2dGfWdORESpn858RVOsWDFcvnwZ58+fR3BwMBwcHBAS26JlcciXLx8uXbqkso61Lnj8/z6CmTJlgnlM0y3+L3JheECs352Ya0Q/T1zXkcvl8IxregFpRcaMYiaHskuXRAH892/RlrNrV7EO4N9/i1aHhw4BixYBFSqIGDv6xGzTJukXZpkzAwMGaC8fXVahgvjSVtmJE9rJJa1RKIDoq1K0bq1bs7tSi0KFRIFB2YoVYi1SSjpPT2D2bGmsUiWxnjLFTF8fGDRIFCDt7VX3jxsnirEs7iSdhwdQu7ZYAiH6JJucOYGLF4EuXbSTmzZZW4uZwwcOiA4Z0YWHi0EBFSoADRqIY7lsZdL5+AAzZoh/l/76S8xqjus774IFRVeC589F14hBg4Bs2VIu35RUvryYBf7mjRiU+v8mZSpcXcXyL2XKiPcou8gSEZE2lShRAtOmTYOnpycePHiAKVOmwNbWNs7nBAYGYvv27WjZsiVy5MiBzp0748CBA/jJG1SN0dPTw8qVKyWxHz9+4PDhw1rKiIiIEirVFb9v3LiBCxcuRLX3jq5WrVpYv3497t+/H+Oa1+rImzcvnj17lpQ0U1xISAg+fvwIALCMXimKRnn/2wT2HFQ+Prmu4+PjE+fD19c3QTlT7IYMAaKPYVi2DMiQQaxNvXu3dFaostWrxQxRfnEupVCINovKunXjrO/E0tMTM4+U8V5CM+7fBx48kMb69NFKKmlC9MFEX76IgTCUNHK5aHeuPNhKX1+sVa/rMxJTgrW1GNg2cKDqvmnTRAGcEufrV9E+umxZsd56dPb2og16PMs2pmkymega5Okp1mOOrdh4/rzo9FKsmBg4xAkzCXfvHtChg+iGMXWqWNs7NlmyiN+rV68Cr16J3wNFi6ZYqlqXL5/ofvHuHTBzZuyD/h4/FjPFbWyABQvE2vVERETaIpPJUKZMGUyfPh1PnjyBh4cHZs2aJenuGZOgoCDs3bsX7du3R44cOdCiRQts2LCB361qQNWqVdE02lp9u3bt0lI2RESUUKmq+D18+HDUqFEDDg4OaN26tbbTSVV+/PgR9bNJPIsJZsiQIcbnpZbrWFlZxfmoUqVKgnKm2GXMKGZ0J3a9VCcn0eaT/rh1C/D2lsb69tVOLmlFq1bS7atXgQ8ftJJKmhL9nszaWsy+o8QpXVp1jfrFi1VnglLCbNgg/s4rGzVKzOAj9RgaigFrMbU6nz5d7CP1BQQA//wjioxz5sT8d3ziRDHowNo6xdNLlTJlEoMtXr0Chg0Tgyxj8vIlMHy46Do0dKhY6oTidu2amOFdoQKwf3/ss+cNDIAWLcRMfF9fYN060d47sfcAaUHWrOLvspeXGHQR29/XN2+A8eNF0bxFC9EJ69evlM2ViIgouuLFi2Py5Mm4e/cuXr16hQULFqBq1apxPic4OBjHjx9H//79kSdPHlSuXBkzZszAvXv3Yp1kRnHr1q2bZPv8+fP4wC+siIh0Qqoqfm/ZsgUKhQIKhQJXrlxJ8PN3796NY9EX4k0jlNfUNjIyivNY5f2/EnjnnlLXoZRTp46YnRjXOpRGRmL9xr//BqKPeZgyBXj/PllT1CmHDkm3bWzErDBKvIYNRev4SAqF+PKWEi8iAtizRxpzdEw/69Eml/Hjpdvv3omWs5Q4Xl6iNa2yggXFrEZKGJlM/L9cs0Z135Ah/J2qjk+fgAkTRNF79mwgpnGdBQsC586JorihYcrnmNrlzAksXy4GCc6cKbZjEhQErFoFFC8uCrunT7MlenQvX4rW3DVrirW9Y1O+PLBypSh4Hz0qZuLHM3453TE1FYMtXr4U3ZtKlIj5uIgI4Phx8f8wRw6gXTsxkPDr1xRNl4iISEWhQoUwduxY3Lx5E+/evcPy5ctRq1YtyOIZ5Xb79m1MnToVFSpUgLW1NQYNGoRTp05xnfAEaN68OTIptXqUy+XYyy8BiIh0Qqr6Gjx79uyQyWSQyWTo3r17gp9fsWJFTJkyBd26dcP3NNZPT3mWdWg8CzEr7zc1NU111/H29o7z4e7unqCcKX69eok1vqtVk8ZLlxYzu9+/FwWcVatEcVf58/PPn2ybGkmhAA4elMbatEnfs2o0wcQEaNlSGtu3Tzu5pBUxzZ5Pj2vSalqNGqrrK8+fz6JNYigUomtGUJA0vnat6FpCiTNwoOpMb4UC6NpVzFQmVR8/ioEDBQuKv88xLZWory+WPnj8mB001JEt258Ztxs3irWVY3PmjFj+pHRpsexJep+U9OOHGGhlawucOBHzMWZmwIABwO3bwN27YoBLbK296Q9DQ6BHD/H3+PBhIK5mY79+ic/8jo7i/23VquI9ffmydJkOIiKilGZlZYVhw4bh8uXL+PDhA9asWYMGDRpAP541o3x8fLB27Vo0bdoU2bJlQ6tWrbBp06aoJTYpZqampmjbtq0ktnPnTi1lQ0RECZGqit99+vSJasMyYMCABD+/WLFiuHnzJn79+oXy5cvjQfTFTnWY8iiz+EboKc/ezpTAhYhT4jr58uWL85E7d+4E5UzqqV0buHED8PMT6wZ+/Ag8fAiMGCH9wuyvv1TXBd62jevgAcCTJ2LWiLI2bbSTS1rTsaN0+/p1wMdHO7mkBdFbnpctC5QsqZ1c0hKZTHX295MnwKlT2slHl61fD7i4SGN9+4pOEJQ0gwaJFtTKQkOB1q0BDw+tpJQqffwoPgMVLCiWMIipiZFMBnTqJD4vzZ8vZpCS+kxMxGfK+/fF4Is2bWLvQPL0qdhfrZoYsJneyOViqaLI9adjarefI4foOuDjIwYKVayY8nmmBXp6YsmdmzfFYMFeveIedCWXA+7uoiNEnTqAhYVYw37FCrHefXofsEFERNqTK1cuDBw4EOfOncOnT5+wc+dOdOzYEZmVW+vF4NevXzh69Cj69u2L3Llzo2rVqpg1axbu3r0LOUd2q3B0dJRs37t3D0+fPtVSNkREpK5UVfweN24c7P8/perdu3eJOoeJiQn27duHAgUKoGbNmrh27ZomU9QaY2Nj5MqVCwDg5+cX57HK+wsUKJCg6ygfn5zXIe3JmRMoVw6wtIz9mJkzRSv0SKGh4ku29C56y3MrK6BSJe3kktY4OADm5tJY9AIuqSckRLXFMWd9a06zZmJGnrJ587STi6568UK13Xm+fMCiRdrJJy2aMkUUwZUFBop16z990kpKqcaXL2LN7sKFRYvumMZ66umJGZ9Pn4olJKL/naeEkcnEIMyDB4HXr8Us+qxZYz7W3R2oX1/8rn39OmXz1JZbt0RXkR49Yh5sGtlO/u1b8d6N/nmJEkcmEx1dNm8WbeM3bRLF7fiWiPn5Ezh5UqxfX6KEWCqhb1/RtejLlxRJnYiISIWFhQW6du2KvXv3wt/fHy4uLhg+fDgKFSoU73Pd3d3x77//omLFirC0tETnzp2xZcsW+HBGAgCgTp06KhO17ty5o6VsiIhIXamq+G1oaIjTp0+jZs2a6NatG+7fv5+o8+jr66N169YICgpCu3bt0kwL9FKlSgEAfvz4gW/fvsV6nPKHk5IJnOoXeQ1AtCePS+R19PT0ULx48QRdh1K3XLmAbt2ksW3b2No3evtJtjzXHCMj1Vn069fzPZcYZ86IIpeyTp20kkqapKcnCjfKrl8H0shYu2QXHCzWUY3e7nzjRhZ0NEkmE+sAt2oljb95A7RoIf4c0hu5XLzPihQRA1Zimumtry9mgXp6Ajt2iDWpSbPy5xez6H18xL/zsd2qnDwpBh1Mnx7zAIW04ONHoHdv0X7bzU11v4EBMHo08Pw5MGwYOw8kp0yZxJ/FxYuiS9amTWKwkNKKYLHy9hbHd+z4p0X6v/+KzwXh4cmfOxERUXRGRkaoX78+li1bhpcvX+LJkyeYN28eqlevDr14Rnl9/vwZe/fuRe/evWFlZQVbW1uMGDECJ0+eRFD0m7h0Ql9fH/ny5ZPEwvmPPBFRqpeqit+AaJ/t4uKCDh06oEaNGti6dWuCnv/+/XssX74cU6dOBQD4+/vjUPTpmjqqXr16UT/HNTDg7t27MT5HHZUqVYpqYR7XNeRyeVRbeTs7O8la4ZQ2DBwo3X77VrQGTK8CA4HoAzubN9dKKmlWv37S7devAWdn7eSiy3bvlm7XrAlYW2snl7Sqc2fR+UEZZ3/HT6EA/v5btJBW1rcv0KiRdnJKy/T1RQeNypWlcTc3McAtPQ0uevxY/C7s1w/4+lV1v4GB2Pf8uZgFWrRoyueY3piaiv/nDx+K2fVFiqgeExIiWviXKgWcPp3iKSab4GAxAMDGBtiyJeZj/vpLvG8XLeLAoJSWPbsohJ84IWZyu7iIJU8qVIj/uQqF6F4wa5b4nZM9O9C2LbBhA5DIxnZERERJIpPJYGtri/Hjx+PatWvw8/PDtm3b0K5dO7WWsPTw8MDy5cvRrFkzWFhYoG7dupgzZw5u376NiIiIFHgFqYMi2jonMs6EISJK9VJd8RsADAwMsGrVKuzcuRNjx45Fq1at8P79+xiPff/+PXbt2oX+/fvDxsYG1tbWGDVqFL4qfbP1JY30H2vXrl3UP67nz5+P9TiX/y+imT17dtSpUydB1zA2NkaLFi0AAG5ubrGO6rt582bUvvbt2yfoGqQbKlZUbfO5b592ckkNLl+WFgqMjUWLStKcatXE2tTKVq/WTi666vt34NgxaaxrV+3kkpYZGQGjRkljJ0+K9UMpdnPnqhZ6SpYEli3TSjrpgqkpcPy4mG2r7OBBYMIE7eSUkhQKYNUqsUSJq6vqfn19sSb1y5diFrIaXSFJw/T0RHeSp0+BdetE96HoXr0CmjQRHWJ0uYAolwM7dwLFiom/fz9+qB5TtKgoup46JY4j7TIxEW34580Tg2D9/cVgjV69gLx543/+t29i2aT+/cXvYVtbYORI4OhR0WqdiIgopWXPnh3du3fH/v378fnzZzg7O2Po0KEoqsboz7CwMFy6dAmTJ09G5cqVkTNnTnTs2BEbNmzAs2fPVArEaQmL30REuidVFr8jtWrVCk+ePIGhoSFsbW2xePFi3L59G1u2bEHfvn1RpEgRWFtbo3v37ti0aRNevnwJhUIBhUIR9Y+Qnp4e6tatq+VXohlFixaNKjTv2LEDoaGhKse8fv0aFy5cAACMHz8eBgYGkv2PHz+GjY0N8uXLhytXrsR4nQkTJkBPTw/BwcHYHX0K4f9t3LgRAGBpaYm+ffsm+jVR6iWTqRbNjh5NXzPFlP3/r1WU6tXVa4VI6pPJVNeoPXlStOkl9Rw5Im0Pa2AgWkyT5vXtK2Z0KfvnH+3kogs2bQImT5bGMmYU69NnzKidnNILS0tRSIs+e3ThQlFsTKu+fAFatwaGDhUziKNr104UXDduVB0cQCnP0FAUCD09xVrKMXXkPHxYrLE8fz4Qw21QqhURIQacVKokui7EtLKUmZl4XY8eiXbblDplzy4Ga2zeLP4cnzwBli4VM/XVuS/w8BADvlq1AvLkEV1kWrcWM8vXrxe/q11dxe+mDx/E+uJERETJxcjICA4ODlixYgWeP3+ON2/eYP369WjXrh2yZs0a7/O/fPmCffv2oX///ihevDgsLS3Rpk0bLFmyBLdu3UJYWFgKvIqUkZ5muRMRpRUyRSoeluXp6Ynbt2/j1q1b2L59u8ra3cqpRxa7lWMlS5bEjBkz0Lp165RJOAW8e/cOlSpVgr+/P0aPHo1FixZF7QsJCUHTpk1x/vx5VKxYEdeuXYOJiYnk+Z07d8bevXsBiHblrjFNg4EogM+fPx85cuTAzZs3UUhpKoyzszP++usvyOVy7Nu3T+Mzv318fGD1/36y3t7eKuuqUMrx8FCd/e3mJtYmTG9KlRJfcEWaNUu1kENJFxQkvgxUng3Vv3/aLtBoUuPGwNmzf7abNROzPil5LFki1mNVduECkEbG3GnMihWimKVMJhOF7zZttJNTenT+vPgdobw8nb6+mGXauLH28koOHh5iaZJXr1T3FS4suoo0bJjyeZH6HjwABg+OecY+IIrgy5cDDg4pm1dCfPoE7N0LrFwpugvEpkcP0Rkjd+6Uy4007/dv4Pp18TnM2Vm8h5PKwgIICEj6eVIC7+FJ1/A9SxS3iIgI3LlzB87Ozjh37hxcXV0TvM61qakpqlWrhho1aqBmzZqoVq0azMzMkinj5HPlyhXUrl1bEjt48CDa8GaWiEhjkuOzWaorfjs5OWHPnj24fPlygovduXPnRq1atVC7dm3Ur19frZYtusjNzQ2tW7eGr68vGjVqhBYtWiA4OBjbtm3Do0ePUK5cOZw8eRJ58uRReW7Hjh2x7/+9q6tVq4YbN27EeA25XI4BAwZg48aNyJYtGwYMGIACBQrgzp072LJlC+RyORYtWoTh0b/N1gDehKQeCgVQvLhYAzPS9OnAlCnay0kb/PxU23DeuCHadJPmjRwpbYNsYCBmwKTRX+ka4+cnBg4od2fYvVusT03JIzhYrFP74cOfWIUKYr1PfX3t5ZVahIQA48aJ4nd0y5cDw4alfE7p3ZYtYi1bZWZmwLVrqstO6CpnZ6BDB9FuOLqRI4HZs9m5RVfI5cC2beL3yOfPMR9Tt674M7WzS9ncYqJQiJnrFy+KzjVnz4pZ37GpU0d0YKhUKcVSpBT04YP4fXT2LHDuXOKK2AULAq9faz635MB7eNI1fM8SJcyPHz9w6dIlnDt3Ds7Oznj27FmCz6Gvr49y5cpFFcOrVq2KvHnzpuoW4iEhIShbtqzk9ZqZmeHdu3dqzY4nIiL1pPnid69evbB9+3YA8Re6I+PVq1dH9+7dUbt27TRb7I7J58+fsWzZMhw+fBheXl4wNDSEjY0NunTpgkGDBsHIyCjG5z18+BBt27aNamleq1atOK9z6tQprFmzBrdv38bXr1+RK1cu1K5dG8OHD0eFChWS46XxJiSViV6IrFNHfKmXnuzdKy0gZsok2qlGW1WANMTXV6y7qty+u1kzsZZ1Kr4n0rros2szZhQFcbaUTl5r16q261+7FhgwQDv5pBb37wP9+gG3b6vumzgRmDMnxVOi//vnH1EsVJY3r+jsos4atqnZqlXAiBGqBcfs2UURtUkTraRFSfTlCzBpkmgLHduda61aYqZ469ZALLdBSRIRAXz9KorwAQHS/3p5iUF6jx/HXqRXVqIEsGCBaG/OzzXpQ0SEWDP87FlxH3X7dsxrvkdXvjxw927y56cJvIcnXcP3LFHSvHv3DufOncO5c+dw5coV+Pr6Juo82bJlQ7ly5VCuXDmULVsW5cqVQ/HixWFoaKjhjBMuMDAQY8eOjVr6M9Ly5csxjCO5iYg0Ks0Xv83MzPDr168Yi92GhoYoX7487O3tUb16deTPnx9DhgzB06dPsXbtWnTp0kVbaZOG8SYkdTl2DGjZ8s+2sTEQGAhE66ifpg0cKG273bSpaBNLyWfsWEBpVQcAwPbtYq1MilnVqmLGcSRHR2DHDu3lk16EhYkZsx4ef2IWFqJjRrZs2stLW16+FDMZN26UdiGINHcuMGFCyudFfygUQNeuwJ490njx4oCLi24WwCMixBIEy5er7qtUCThyRDdfF0nduiUGG925E/sx2bOLlvcNG4plegoUiHn9cED8jgoMFIPuPn4U/1V+RMb8/UXhO6l3zRUris83bdtyAGV6J5cDz56JQUdPn4olGl69Eu+1b9/+rPWtS4OOeQ9PuobvWSLNUSgUePv2La5evYpr167h2rVr8FC+QU4gIyMjlCpVSlIQL1u2LMzNzTWYdeyCgoKwYsUKLFq0CF+/fpXsq1y5Mm7cuAF9tnojItKoNF/8LliwIN69eweFQgFjY2PUqlULderUQfXq1VGlShWV9asjIiLw77//YsGCBejVqxdWrlypcgzpHt6EpC6BgaKAo1zESG9r2pYpAzx69Gd74UJgzBjt5ZMefPsG2NiI9TIjmZoCV66IL49J6sUL8f9L2enTaW8d39TqwgWgfn1prGNHUVxML7P6bt4UvxsPH465QGRsLNZZjt5ym7Tj92+gQQOxPq2yggXFzERdaqb086co5h89qrqvQwfR6t3UNOXzouQRESH+TKdNA96/j/94AwOxlnbOnGI5CoVCvGciZ27H1ZZcE0xNxWz03r3FZ+f08m8CJU14OPD9uxhgZ2mp7WzUw3t40jV8zxIlr8+fP+P69etRxfDbt28neM3w6KysrJA/f35YW1tHPZS3M2fOnKjz/vz5E56envDw8MCjR4+wZcsW+Pv7qxynr6+P27dvo1y5ckl6HUREpCrNF787deqE/fv3o0+fPli0aJHa/2hdvnwZ3bp1g7m5Ofbv34/ixYsnc6aUnHgTkvpUqiSdZfPPP8DMmdrLJyV9+wZkzSot5ly/Dtjbay+n9OLgQaBdO2ksSxYRr1dPKymlWtOmAdOn/9nOmVMUBTizLOV07Ajs2yeNbdsGdO+unXxSgkIhBlnMnSvWjI6NjQ3g5ATwO4LU5fNn8W/ZixfSuLk5sHu3brQI9/MTs3xv3VLdN3UqMGVK7LN+Sbf9/i2WmJg3T7wPUpN8+UShu1Ej0T3JzEzbGRElP97Dk67he5YoZf369Qvu7u5RxfAbN27g+/fvGr2Gubl5VCE8U6ZMMDAwgL6+foz/DQ8Px4sXL+Dh4QEvL694z62np4fVq1djQHpf34yIKJmk+eL31q1b0adPH3z8+BE5cuRI0HMDAwPRt29fnD17Fv/99x+6p+Vvm9M43oSkPuPGiRl9kapXj7vQkZacOydaZ0YyNBQzMdhkImX06yfaJ0fXvj3Qs6eYuZgca3vqEoVCFBdfvvwTGzYs5va/lHzevwdKlxatcSOZmQE3bgClSmkvr+SgUIg20jNnAvfuxX6ciYlYp3fsWP7OTK18fMTv0WfPVPcNGiQKi4mcQJHsPDxEgf7tW2ncyAjYvFnMBqe0LzQUOHQIWLNGdIdJCWZmoitS9uzikTOnWDbA1lb8O1CoEGd4U/rDe3jSNXzPEmlXZKv0+/fvSx7v3r3Tdmoq2rdvj2nTpsHW1lbbqRARpVlpvvj95csX5M6dGy9evIC1tXWizrFu3TqMHDkSXbp0werVq2GU3qsiOog3IanP6dPSGWCGhqLAkzGj9nJKKTNmiNljkapWFe19KWWEhgJ//SXaSsckQwagWjWgdm2xLmKNGqKtaXri7i7el8rc3MRap5SyYupWkCcP4OoK5M+vnZw0zdMTGDw47jVIM2cGBg4Ehg8Xr59St0+fxAzV+/dV9+XIAYwYAfTvL4p8qcWhQ0CvXmIwmrIsWcTAjNq1tZEVadubN8Dx44Czs/h38PNn9Z9rYQHkyiVapCs/cuUSbacjC93ZsollHIhIivfwpGv4niVKnb58+YKHDx9KCuJPnz5FWFhYiufSrFkzzJgxA+XLl0/xaxMRpTdpvvgNAG3atEHHjh3RsWPHRJ/D1dUVf/31F8qWLYuTJ08iU6ZMGsyQkhtvQlKfHz9E62/ldRFdXFTXuE2LGjcW65/+r707j9Op/P84/r7HmBmzWAdZB9miGkLZZStlSVFUok0KldKivXyVFolfIl+KFhQtdpUQIamxRURlD9nHDMMs1++P853b3LPPvc59z+v5eMzDfa5znXNdM+dc57jP51zXle6xx6SxY31Xn6Lo7Fmpb1/rgXZeLr1Uevxx6b77is7D6Ucekd599+Jy7drSzp30OvOV++6zep1mdOml0sKFVs9Af2WM9N570vDh1ksp2ala1QqUDhxYeHsLI3uJidacxJmH7k9XrJjUtq31gtEVV1wMCpYuLUVFee96m5wsPf209M47WdfVqCEtXixddpl36oLCzRjp8GFrdIODB6UTJy6uCwuzXuxID2ZXrFh0/s8AeArf4eFvOGcB/3HhwgVt375df//9t/bt22f/2bt3r/bt26cjbpgDx2azqWbNmrrsssvUsGFD9erVS1fTowAAvMYT/zcrdLOBDh48WH9kN/ZiAbRs2VIvvviinnzySfXu3VvfZoxcASiwqCjpqqsc59Rcvz7wg99paVl7ebdo4Zu6FGXh4VZPvvHjrV74Z87knPevv6QhQ6x5QGfNkho29Fo1fSIpSfr0U8e0O+8k8O1L775r9Y5eu/Zi2l9/Wb3zJ06U7rjD/47P2bPWNANz5mS/vk4d6ZlnrHOPAXf8U0SE9Nln1rQmzzxjHfOMUlOt3v459fgvXtz6v0LGn/LlpXr1rJc+YmOtn2AXvnn88ov1YsXmzVnXNWtmvSBVsaLz+0dgsdku9t5u1szXtQEAAICzQkJCFBsbq9jY2GzXJyUl6cCBA/Zg+IEDB5SUlKTU1FSlpKTY/834OS0tTdWqVdNll12mBg0aqG7dugoPD/fybwYA8KRCF/zu1KmTOnXq5PJ+du/eLUn6/vvv9eOPP6pNmzYu7xMoyq6+OmvwO9Dt2CGdPu2YRvDbN4KCrF73/ftLM2daP7kNP//bb1LLltL8+YE9/O2XXzrOMS1ZfyP4Tni4FYRr00b6/feL6fHxUr9+1kscQ4dKt9xizRtb2J04IXXv7hjMT1etmvTGG9JttxW96QYCkc1mjSTRvbs1ZH1+RttIl5xsnSsZe9dmFhFhvQTSqpXVg7x58/yNELB1q/Taa1ZwPrvxqu68U5o8uWhMxQIAAADAUVhYmGrXrq3atWv7uioAgEKk0AW/3WHPnj2aMmWKbP/rWvXrr78S/AZcdPXV1pC36YpC8PunnxyXq1WzhvWF75QrJz38sPVz4oT044/SqlXW0PTbtjnmjY+Xuna1eioGaq+vKVMclzt1kmrV8k1dcFHZstLSpVYQccMGx3W//CINGGANMd24sRUIbNHCCgrGxBSuXuEnT1ovj2zdmnXdY49J//kPAcdAVLOm9eLQhg3SW29J8+ZJ5865vt/ERGn5cutHsl5qio21XlRq2NAatrxMGSuQfuSItHGjtGSJ9W92QkKk//s/az7ywtRuAAAAAAAA4FsBGfyeN2+ekpOT7cHvCJ7MAi7LPNXNP/9YcyhWqeKb+nhDxp7uktVLDYVH2bLSTTdZP2PGWAGV4cMdh8RNTJRuvlmKiwu84XB37pRWrnRMGzjQN3VBVpUrWy9n3H+/NQR/Zqmp0q+/Wj/jx1tpFStKN9xgnbM33GANJe0rFy5IvXtnDXyXLi198onUrZtPqgUvuuoq69xNTJS++87q/R8XJ+3fb82lnJDg2v7T0qzAdk7B7dxcfrk0fbrUpIlrdQAAAAAAAEDgCcjgd/PmzVW8eHElJyerUqVK6tWrl6+rBPi9unWlUqUchwFfv94K0gSqzMHvQO09HAhsNmsO+p9+suZUnjv34rqDB6VBgxzTAsHEiY7L0dHWiwAoPMLDpRkzpD59pCeflHbtyj3/kSNWQG/6dGukiUcflQYPlkqU8EZtLzJGevDBiz1001WpIn3zjRV4RNEREWHd6zPf7xMTrRE2zpzJ/mffPmn7dusFirzO/fyKipKefdZ60cmXL4cAAAAAAACg8ArI4Pc111yjHTt2aPv27WrRooXKlCnj6yoBfi8oyAr+fv/9xbRADn4nJVnzRmdE8LvwK1FC+vxzqUsXa7jzdPPmSV9/HTjn68mT0tSpjmkDBkihob6pD3Jms1kvJdxwg3UOfvSR1Ys2NTX37fbvl554QpowwRrauXt379RXkkaPlqZNc0y75BJp9WpraGpAsoLiERFSpUp55z161Oo5vnq1tGaNNeJBcnL+y6pY0RrZ4rHHrFE/AAAAAAAAgJwEZPBbkmrWrKmaNWv6uhpAQLn66qzB70C1ZYvjg3mbzRoCFoVfSIgVAL/8cunffy+mDxkidehgjWDg795/3+p1ma5YMWsedBReISFWD/A+fazhotevt4KBa9dan48fz367PXukHj2swN/48Z7vBf7ZZ9JzzzmmhYdLCxcS+Ibzype/OE2FZM0h/ssvVjB861Zpxw5r5INTp6y2UqqUVLu2Nax5585S+/bWdQ4AAAAAAADIS8AGvwG4X+Z5v3/5xZqzMyjIN/XxpF9/dVyuV08qWdI3dUHBlS9vBQpvv/1i2qFDVo/W11/3Xb3c4fx5qydwRrfdJsXE+KY+KLjISOtFjA4drGVjpD//lJYsseZYXrcu6zZTpljX3AULpKpVPVOvNWuku+92TLPZpJkzmVsZ7lWihNS2rfUDAAAAAAAAuFMAhqwAeErm4PeZM1bAJhBlnu+7aVPf1APO69PHGmo6owkTHHuD+6NJk6TDhx3TnnjCN3WBe9hsUp060iOPWPPW//RT9kHBTZukli2tXrLu9uefVq/c8+cd08eOZS55AAAAAAAAAP6D4DeAfKtUyZp3M6PNm31TF0/L3POb+b79j81m9f7OOFRuYqL01lu+q5OrTpyQRo50TOvQgSH5A03z5tIPP0gffmgNOZ7R/v1S69bSzz+7r7wTJ6SuXbMOvT54sPToo+4rBwAAAAAAAAA8jeA3gAJp1MhxedMmX9TCsxITpd9/d0yj57d/qlNH6tfPMe2996y5Zf3RyJHSyZOOaaNG+aYu8CybTbrnHmsUirp1HdcdPy517CitWOF6OefPSzffLO3c6Zh+ww3WyyM2m+tlAAAAAAAAAIC3EPwGUCCxsY7Lgdjze+NGay7zdMWKZQ36w3+88IJj7+9z56wAuL+Ji8ta7z59pBYtfFMfeEeDBtZc3JmnnUhMlG68UfrmG+f3bYw0cKC0apVj+pVXSp9/LgUHO79vAAAAAAAAAPAFgt8ACqQo9PzOPN93w4ZZhx6G/7j0Uql/f8e0SZOkpCTf1McZp05Jd9whpaRcTAsNlV5/3WdVghdFR0vLlknXX++YnpQk9eghzZ3r3H6ff1765BPHtMqVpUWLpKgo5/YJAAAAAAAAAL5E8BtAgWQOfh88KB075pOqeAzzfQee4cMdl48dk2bO9E1dCioxMfthqZ9+WqpRwydVgg9ERkrz50u9ezumJydbaZ9/XrD9jR8vvfaaY1pEhLRggVS1qmt1BQAAAAAAAABfIfgNoEDq1JHCwhzTAm3o88w9v5nv2/81bCh17uyYNm6cNexzYbZ5s9S6tfTDD47pTZtavXZRtISESLNmZZ3HPjXVGhlg4sT8ndNjxkjDhjmmBQVZ+77qKrdVFwAAAAAAAAC8jtkcARRIcLB0xRWOAeJNm6SOHX1WJbc6dUratcsxjZ7fgWHYMGnp0ovLv/0mrVwpXXut9+uybZs1z/LGjVYv9JQUq22FhVnDmQcFSVu3SuvXZ922QgXpyy+l4sW9X2/4XnCw9NFHUokS0pQpF9PT0qQhQ6y54cePt3qKZ5aUZI0Y8H//l3Xd5MlS9+6eqzcAAAAAAAAAeAPBbwAFFhvrGPwOpJ7fcXGOyyEhVrAf/q9LF6luXcfhwydN8m7we8UK6dlnpXXrnNu+bFnpm2+k6tXdWy/4l6AgK1hdokTWQPaHH0rffiuNHi3ddpv1MkVamrR8ufTYY9ZLFZm9+qp0//3eqTsAAAAAAAAAeBLDngMosMzzfm/a5ItaeEbmIc9jY60AOPxfUJD00EOOaV99JR0+7PmyL1yQhg6VOnRwPvB92WXSmjVS48burRv8k81mDd3/wgtZ1x08KPXvb70s0aCBVL68Nex/doHvt96yXsgAAAAAAAAAgEBA8BtAgcXGOi5v3y6dP++burhb5uA3Q54HlgEDrN6y6VJSpA8+8GyZiYlS167Se+85t310tPSf/1ijEtSv7966wb/ZbNLIkdLs2VJERNb1Z89a1+cTJ7KuCwmRpk2TnnjC8/UEAAAAAAAAAG9h2HMABXbllY7LKSnS778HRo9Ugt+BrUwZqW9fK+iXbvJkacQIqVgx95eXkmKV9/33WddVriy1by/VqWPN352SYr1EkpQkJSdLl1xinX9t21pDVwM5ufVW66WkoUMd57XPSaNG0scfM6UDAAAAAAAAgMBD8BtAgZUsKV16qfTXXxfTNm3y/+D3kSPS/v2OaQS/A8/gwY7B7/37pUWLpB493FuOMVYwcuFCx/QSJaQ335QefFAK5i4MN6lb15rre/58aexYadWqrHkaNpQefli65x6mcwAAAAAAAAAQmHjsDsApsbGOwe/Nm31XF3fJ3Os7IoJhpgNR06bWz6+/XkybNMn9we+PP7Z6lWdUpoz03XdW+YC72WzSTTdZP8eOSRs3SsePW9eyK66QatTwdQ0BAAAAAAAAwLOY8xuAUxo1clzetMkXtXCvzMHvJk08MxQ2fO+hhxyXv/3W8WUOV/39t9XrO6PQUKtXLoFveEN0tNS5szXsfvfuBL4BAAAAAAAAFA0EvwE4JTbWcXnzZmuYZ3+WOfhNkDJw9e0rlS59cdmYrL20nZWaKvXvLyUkOKZPny61bu2eMgAAAAAAAAAAQFYEvwE4JXPw+9SprPNl+xNjsga/me87cIWHS3ff7Zj24YdSUpLr+/7gA2nNGse0e++1Au4AAAAAAAAAAMBzCH4DcEr16lKpUo5pW7b4pi7usHevNUduRgS/A9uDDzouHz8uffGFa/s8flx65hnHtFq1pHHjXNsvAAAAAAAAAADIG8FvAE6x2aQrr3RM27zZN3Vxh19/dVwuW9YKWiJw1asndejgmDZpkmv7fPZZ6cQJx7TJk6WoKNf2CwAAAAAAAAAA8kbwG4DTspv3219lN9+3zeabusB7HnrIcXntWufP4/XrpSlTHNNuu03q1Mm5/QEAAAAAAAAAgIIh+A3AaYEc/GbI86LhppukSpUc05zp/Z2aKg0ZYs0dny4iQnr7bdfqBwAAAAAAAAAA8o/gNwCnZR72fNcu6exZ39TFFampWYc9J/hdNBQvLg0c6Jj26adSfHzB9vPBB1nPoRdflKpWda1+AAAAAAAAAAAg/wh+A3Da5ZdLQRmuIsZIW7f6rj7O+u036cwZx7RrrvFNXeB9AwdKxYpdXE5MlD7+OP/bHzsmPfOMY1r9+tKwYW6pHgAAAAAAAAAAyCeC3wCcFh4u1anjmOaPQ5+vWeO4fOml0iWX+KYu8L6qVaXu3R3TXn9dSkrK3/YjRkgnTjimvfuuFBLinvoBAAAAAAAAAID8IfgNwCWZhz7fssU39XBF5uB3q1a+qQd859FHHZcPHszf3N8rVlhDnmd0221Sp07uqxsAAAAAAAAAAMgfgt8AXBIb67gcCD2/CX4XPddeK3Xo4Jg2erSUkJDzNufOSQ884JgWGSm9/bbbqwcAAAAAAAAAAPKB4DcAl2QOfm/ZYs397S/275f27XNMI/hdNL36quPy0aPSyJE553/8cenPPx3TRo+2hlEHAAAAAAAAAADeR/AbgEsyD3t++rS0d69v6uKMzL2+S5eWLrvMJ1WBjzVvLnXr5pg2dqz0009Z806bJr3/vmNaixbSQw95rn4AAAAAAAAAACB3BL8BuKRaNStgnJE/zfudOfjdsqUUxJWxyHrzTSkk5OJyaqp0663Snj0X05YuzRrkLlFCmjpVKlbMK9UEAAAAAAAAAADZIMQDwCU2m3fn/U5Lk5KT3be/lSsdlxnyvGi77DLp+ecd0w4etHp1jxsnPfmkdOON0vnzjnmmTJEaNPBaNQEAAAAAAAAAQDYIfgNwWebg94YN7i9jxw6rB27p0lbP3Dp1pDfekM6dc36fhw5Jv/3mmNaunUvVRAB45hmpfXvHtMOHpccek8aMkVJSHNc98oh0553eqx8AAAAAAAAAAMgewW8ALrvqKsfluDj37v+LL6wA+xdfSGfOWGl//imNGGENU37ggHP7/e47x+VSpaRrrnGtrvB/wcHSnDnSFVfknff226W33/Z8nQAAAAAAAAAAQN4IfvuhlJQUTZo0Sa1atVK5cuUUGRmpBg0a6JlnntHhw4fdUobNZsvXT7du3dxSHvxb06aOy/v3S//+6559f/ed1LevdOFC9us3bbJ66R496ty+M+rY0Qp8AuXKScuXS126ZL8+KEh68UXpk084ZwAAAAAAAAAAKCwIfvuZY8eOqXXr1ho8eLBOnDihp59+Wm+++aZq1qyp119/XVdeeaVWrVrl62qiiKlfXwoPd0xzR+/vQ4ekfv2k1NTc8/35pzUkel75MkpLyxr8vu66gtcRgSs6Wlq8WJo3T7rlFqlhQ+tFj6FDpW3bpFdekYoV83UtAQAAAAAAAABAOvqr+ZGUlBTdfPPN+vnnn9WyZUt9//33KlGihCRp8ODBevbZZzV69GjddNNNWr9+verUqeNSeUOGDNHQoUNzzRMZGelSGQgMxYpJjRtLa9ZcTIuLk264wbX9Dh+etUf3PfdIN90kPfWUtHPnxfSVK6WxY6Unn8zfvjdtko4dc0wj+I3MbDapRw/rBwAAAAAAAAAAFG4Ev/3IlClTtHr1atlsNk2ZMsUe+E73yiuvaM6cOfrzzz/1+OOPa8GCBS6VFx0drfr167u0DxQdTZo4Br9//dW1/a1eLc2a5ZjWo4f0wQdWQLJZM6l5c2uI9XTPPWcFsGNj897/t986LtepI9Ws6VqdAQAAAAAAAAAA4DsMe+4njDEaPXq0JKlVq1Zq0KBBljzFixfX3XffLUlauHChNm/e7M0qoojLPO+3K8OeGyM9/7xjWunS0tSpVuBbkipXlmbMuLgsScnJ0r33SikpeZfx1VeOy/T6BgAAAAAAAAAA8G8Ev/3EunXrtP9/XVw7deqUY77OnTvbP8+ZM8fj9QLSNWniuHzggHTkiHP7Wr3aGsY8o1dekcqXd0xr08Ya/jyjDRukd9/Nff9//521Z/pNNzlXVwAAAAAAAAAAABQOBL/9xPLly+2fGzVqlGO+2NhYBQUFZdnGVWlpaUpISHDb/hB46tWTIiIc05wd+nzCBMflqlWlQYOyz/vKK1LmgRBeeEHaty/n/X/2meNyuXJS+/YFrycAAAAAAAAAAAAKD4LffmLr1q32z9WqVcsxX2hoqMr/r3vstm3bXCpz3759GjRokGrVqqWwsDBFRUUpNDRULVu21Pjx43Xu3DmX9o/AUqyY1LixY9q6dQXfz6FDWYckf/xxKTQ0+/yhodLkyY5piYnSkCHW8OmZpaVZw6dndMstUnBwwesKAAAAAAAAAACAwoNwj5/Ys2eP/XPFihVzzVuxYkUdOXJE8fHxOnnypMqUKeNUmdOmTVOVKlU0cOBAxcbGSpLWr1+vSZMmadiwYZo4caLmz5+vevXqFWi/Bw4cyHX9oUOHnKovfK9FC2vI8nQ//ljwfUyd6jhnd4kS0v+mss9R69bSAw9I//3vxbSFC60geq9ejnm/+07avdsx7d57C15PAAAAAAAAAAAAFC4Ev/3EmTNn7J/DwsJyzVuiRAmH7ZwNfrdq1UqLFi1SqVKl7Gk9e/bUoEGD1Lp1a+3cuVPXX3+94uLiVK5cuXzvN7ee6/BvbdpIb711cfnnn6Xz53PutZ1ZSopjAFuS7rhDys8p/Prr0rx5jvOMP/yw1LGjVLq0tWyMNGqU43ZXXildc03+6gcAAAAAAAAAAIDCi2HP/UTGIcZDQkJyzZtx/dmzZ50qb/fu3Vq6dKlD4DtdTEyMxo0bJ0nau3evRmWOJqLIatXKcTkpSdqwIf/bL1woZR4Y4KGH8rdtmTLS/05Lu0OHpAEDrKHOJWnuXGnNGsc8Dz8s2Wz5ryMAAAAAAAAAAAAKJ4LfbpaSkiKbzebyz/Tp0x32m7E394ULF3KtQ8b14eHhTv0eNWrUcCgzs549e9p7e0+fPl1p6dHFfNi/f3+uP+vXr3eqzvC9smWlyy93TCvI0OcTJzouX3211KRJ/rfv00fq0sUxbf58a1jzZcukQYMc11WvLvXvn//9AwAAAAAAAAAAoPAi+O0noqKi7J+TkpJyzZuxl3jG7dypWLFiatSokSTp1KlT2r59e763rVq1aq4/lSpV8kid4R1t2jgu5zf4vXOntHSpY9rgwQUr22aTpkyRoqMd0z/6SOrUSTp61DH9tdekPAZSAAAAAAAAAAAAgJ9gzm83Cw4OLlAgOCeZA8A1atTQunXrJElHjhxRlSpVctz2yP8mPS5ZsqTT833nR4UKFeyfDx8+rIYNG3qsLPiPNm2kSZMuLq9ZYw07HpTHqzbvv++4XLasdNttBS+/alXps8+kG26QkpNzzte9uzWfOAAAAAAAAAAAAAIDwW8PqF+/vtv3eXmGsaT379+vq666Ktt858+f19H/dW/1dDA641DnxYoV82hZ8B+Ze36fPClt3SpdeWXO25w9K02b5ph2771SLiPv56pjR2n2bCu4nWEgBLtmzaRPPmGubwAAAAAAAAAAgEDCsOd+okOHDvbPmzZtyjHf5s2b7UHpjNsUxIQJE/Txxx/nme/w4cP2zwxVjnRVq0o1azqmfftt7tt8/rl06pRjWub5uQuqZ0/pl1+sHuDpvc4jI6XHH5eWL5dKlXJt/wAAAAAAAAAAAChcCH77iebNm6tq1aqSpGXLluWY7/vvv7d/vvXWW50qa8yYMXrttddyzXP+/Hlt3LhRklS+fHnVrVvXqbIQmLp0cVxevDjnvMZI773nmHb99VLt2q7Xo2FDq+xTp6Q9e6Tjx6W337aC4AAAAAAAAAAAAAgsBL/9hM1m07PPPitJWr16tXbs2JElT0pKiqZPny5J6tq1q2JjY7PkSUhIUKdOnVS6dGmNHz8+x/J27typv//+O8f1M2fOVHx8vCRp4MCBsjF+NDK44QbH5dWrs/bszrguLs4xbfBg99YnKkqKiZFCQty7XwAAAAAAAAAAABQeBL/9yMCBA9W6dWsZYzRw4ECdyzSZ8csvv6xdu3apdOnSeuedd7Ldx4wZM7Rs2TKdPn1aTzzxhBITE7PNZ4zRPffcozNnzmRZt2nTJj3xxBOSrPnNn376aRd/MwSaDh2k0NCLyykp0rx52efNfKrWqCHdeKPHqgYAAAAAAAAAAIAAFezrCiD/goOD9fXXX6tbt25avXq1mjRponvuuUcRERFavHixFi1apOjoaH3xxReqU6dOtvtInw88nTEmS57Y2Fjt3btXq1atUr169XTnnXeqfv36Sk5O1rp16zRr1ixduHBBzZo105dffqmSJUt65PeF/4qIsIYunz//YtqsWdKAAY75/vpLmjvXMe3RR6VgrkwAAAAAAAAAAAAoIEJMfiY6OlqrV6/WlClT9Mknn2j06NE6f/68qlevrqeeekrDhg1TpUqVcty+X79+mj17tjZs2KCRI0cqMpvJj+fNm6dt27bpq6++0sqVKzVz5kwdO3ZMQUFBKl++vLp166a+ffvqlltuUbFixTz568KP9e3rGPz+/nvpwAHpf1PXS5LGjbPm/E5XsqR0771eqyIAAAAAAAAAAAACiM1k1/UX8KEDBw6oWrVqkqT9+/erasZoKfxGQoJUsaJ09uzFtOeek0aNsj7v2SPVqydduHBx/fDh0pgxXq0mAAAAAMAFfIeHv+GcBQAAKDw88X8z5vwG4BGRkdJddzmmTZwoHT9u9fZ+7DHHwHdIiPTII96tIwAAAAAAAAAAAAIHwW8AHpM5mH3ypJX27rtZ5/oePFiqXt1rVQMAAAAAAAAAAECAIfgNwGMaNJBuu80xbeZM6dFHHdPKl5eef9579QIAAAAAAAAAAEDgIfgNwKPeekuKiMg9z6RJUrly3qkPAAAAAAAAAAAAAhPBbwAeVb269OmnUlAOV5uXXpJ69fJunQAAAAAAAAAAABB4CH4D8LiePaX586UaNS6mRUdLU6dawW8AAAAAAAAAAADAVcG+rgCAoqFrV6lLF2nHDik5WWrYUCpe3Ne1AgAAAAAAAAAAQKAg+A3Aa4oVs4LeAAAAAAAAAAAAgLsx7DkAAAAAAAAAAAAAwO8R/AYAAAAAAAAAAAAA+D2C3wAAAAAAAAAAAAAAv0fwGwAAAAAAAAAAAADg9wh+AwAAAAAAAAAAAAD8HsFvAAAAAAAAAAAAAIDfI/gNAAAAAAAAAAAAAPB7BL8BAAAAAAAAAAAAAH6P4DcAAAAAAAAAAAAAwO8R/AYAAAAAAAAAAAAA+D2C3wAAAAAAAAAAAAAAv0fwGwAAAAAAAAAAAADg9wh+AwAAAAAAAAAAAAD8HsFvAAAAAAAAAAAAAIDfI/gNAAAAAAAAAAAAAPB7BL8BAAAAAAAAAAAAAH6P4DcAAAAAAAAAAAAAwO8R/AYAAAAAAAAAAAAA+D2C3wAAAAAAAAAAAAAAv0fwGwAAAAAAAAAAAADg9wh+AwAAAAAAAAAAAAD8HsFvAAAAAAAAAAAAAIDfI/gNAAAAAAAAAAAAAPB7BL8BAAAAAAAAAAAAAH6P4DcAAAAAAAAAAAAAwO8R/AYAAAAAAAAAAAAA+D2C3wAAAAAAAAAAAAAAv0fwGwAAAAAAAAAAAADg9wh+AwAAAAAAAAAAAAD8HsFvAAAAAAAAAAAAAIDfI/gNAAAAAAAAAAAAAPB7BL8BAAAAAAAAAAAAAH6P4DcAAAAAAAAAAAAAwO8R/AYAAAAAAAAAAAAA+D2C3wAAAAAAAAAAAAAAv0fwGwAAAAAAAAAAAADg9wh+AwAAAAAAAAAAAAD8HsFvP7Zs2TLVqFFDNptNL7/8skfK2Lp1qwYOHKhatWqpRIkSqlSpkrp27aq5c+d6pDwAAAAAAAD4Hs+dAAAA4I8IfvuhM2fO6KGHHlLnzp21d+9ej5XzwQcfqGnTppo+fbrat2+v8ePH67777tMvv/yim2++WXfeeadSUlI8Vj4AAAAAAAC8i+dOAAAA8GfBvq4ACmbZsmW67777tH//fnXs2FHff/+9R8pZtGiRHnjgAaWlpenrr79Wz5497esGDhyoFi1aaObMmSpTpowmTJjgkToAAAAAAADAe3juBAAAAH9Hz28/smLFCnXu3FkhISFatWqVnnvuOY+Uc/78eQ0ePFhpaWnq06ePwxcQSYqJidFrr70mSZo4caJ+/fVXj9QDAAAAAAAA3sFzJwAAAAQCgt9+JCEhQcOGDdPmzZvVqlUrj5XzySefaN++fZKst22z07dvX0VFRckYo1dffdVjdQEAAAAAAIDn8dwJAAAAgYDgtx/p1q2bxo4dqxIlSni0nDlz5kiSQkJC1KZNm2zzhIWFqXXr1pKkb775RgkJCR6tEwAAAAAAADyH504AAAAIBAS//YjNZvN4GampqVq1apUkqUGDBgoJCckxb+PGjSVJSUlJWrt2rcfrBgAAAAAAAM/guRMAAAACAcFvOPjzzz+VlJQkSapWrVqueTOu37Ztm0frBQAAAAAAAP/GcycAAAB4WrCvK4DCZc+ePfbPFStWzDVvxvUZt8vLgQMHcl2/f/9+++dDhw7le78AAAAAAMC7Mn5vT0lJ8WFN4A947gQAAICMPPF9guA3HJw5c8b+OSwsLNe8GeeAyrhdXvJ6szejq6++Ot95AQAAAACA7xw9elQ1atTwdTVQiPHcCQAAADlx1/cJhj2Hg3Pnztk/5zbvUub1Z8+e9VidAAAAAAAA4P947gQAAABPo+e3m6WkpKh48eIu72fatGm6++67Xa9QAWV8q/bChQu55s24Pjw8PN9lZBxeKjtJSUnasWOHKlasqPLlyys42D9O00OHDtnfGF6/fr0qVark4xrBWRzLwMBxDBwcy8DAcQwcHMvAwbEMDBzHwOGvxzIlJUVHjx6VJF1xxRU+rk3g47lT3vJ67rR79261bdtWkrR27doC9RQHMvLX6zYKJ84nuAvnEtzFW+eSJ75P+EdUEV4TFRVl/5yUlJRr3oxv62bcLi9Vq1bNM0/t2rXzvb/CqFKlSvn6PVH4cSwDA8cxcHAsAwPHMXBwLAMHxzIwcBwDh78dS4Y6R34VludO6apVq+ZXbQ2Fl79dt1G4cT7BXTiX4C6ePpfc/X2C4LebBQcHa/v27S7vx1dv42Q8wY4cOZJr3ozr+aILAAAAAADgWTx3AgAAAHJH8NsD6tev7+sqOK127doKCwtTUlJSnsNEHThwwP65YcOGnq4aAAAAAABAkcdzJwAAACBnQb6uAAqXYsWK2ec9+v3333Odf2nDhg2SpLCwMLVs2dIr9QMAAAAAAIB/4rkTAAAAPI3gN7K49dZbJUkXLlzQ6tWrs82TlJSkNWvWSJK6dOmiyMhIr9UPAAAAAAAA/onnTgAAAPAkgt9FTEJCgjp16qTSpUtr/Pjx2ea56667VL16dUnS1KlTs80ze/ZsxcfHS5KeffZZz1QWAAAAAAAAfoPnTgAAAPA1gt9FzIwZM7Rs2TKdPn1aTzzxhBITE7PkCQ0N1cSJExUUFKTPPvtM8+fPd1i/b98+PfPMM5KkIUOGqFmzZl6pOwAAAAAAAAovnjsBAADA14J9XQEUzNKlS3XkyBFJ0vbt2+3pW7Zs0aeffmpf7tevX7bbp6WlOSwbY7LN17VrV02ePFlDhgxR79691b9/f11zzTXat2+fJk+erKNHj+r222/XuHHjXPyNAAAAAAAAUBjw3AkAAAD+zmZy+l8oCqVrr71WK1euzDNfTof1zJkz6tGjhzZs2KCRI0fq0UcfzXU/W7du1bhx47Rs2TIdOnRIpUuXVuPGjfXAAw/o5ptvdup3AAAAAAAAQOHDcycAAAD4O4LfAAAAAAAAAAAAAAC/x5zfAAAAAAAAAAAAAAC/R/AbAAAAAAAAAAAAAOD3CH4DAAAAAAAAAAAAAPwewW8AAAAAAAAAAAAAgN8j+A0AAAAAAAAAAAAA8HsEvwEAAAAAAAAAAAAAfo/gNwAAAAAAAAAAAADA7xH8BgAAAAAAAAAAAAD4PYLfQCbHjh3TCy+8oMsvv1yRkZEqW7asWrRoof/7v//ThQsX3FbO4sWL1aNHD1WpUkVhYWGqWbOm7rnnHm3YsMFtZRRVx44d06RJk9SzZ0/FxMQoLCxM4eHhqlmzpvr06aMFCxbIGONSGT/88INsNlu+fsaMGeOm36xoufbaa/P1942MjHRLebRJ97v77rvz3U7Sf3r27FngcmiP7mWM0YQJExQZGSmbzaYffvihQNuvXbtWd9xxh6pXr66wsDBVq1ZNt912W4H3k5fExES9+eabatKkiUqXLq1SpUqpcePGevXVVxUfH+/WsvyVs8dyw4YNGjFihFq3bq3o6GgVL15cZcqUUZMmTfTEE09o165dbqlfQa4Rx44dc0uZ/siZ47hnz558/22HDh3qlnrSJvPmzLEs6H3UZrNp7ty5TtWPNpk7d37H4F4J+M6yZctUo0YN2Ww2vfzyyx4pY+vWrRo4cKBq1aqlEiVKqFKlSuratavT12cULikpKZo0aZJatWqlcuXKKTIyUg0aNNAzzzyjw4cPu6WM/N6Pu3Xr5pby4D48V4a7ePJc4jla0ePqs778KHTXJQPA7ueffzaVKlUykkznzp3NhAkTzFtvvWUuv/xyI8k0btzYHDx40KUyUlNTzcCBA40kU7ZsWTNixAgzefJkM3DgQBMSEmKCg4PN+PHj3fQbFT3Dhw83YWFhRpIpX768GTZsmHnvvffMhAkTTK9evUxQUJCRZDp06GCOHz/udDkrVqwwkvL189Zbb7nxNyw62rVrl6+/b0REhEvl0CY9Z8CAAfluJ+k/DzzwQIHLoT26z59//mnatm3r8DdbsWJFvrd/5ZVXTFBQkAkPDzePPPKI+e9//2see+wxExkZaSSZJ5980i313LVrl6lXr56RZJo1a2beeecdM378eNOyZUsjydSsWdNs3brVLWX5K2eO5e7du03r1q3t+Vu1amVeeuklM3XqVDNq1CjTsGFDI8kUL17cLW2pINeIo0ePulyeP3K2Te7evTvff9shQ4a4XE/aZN6cPZYFvY9KMmvXrnWqjrTJnLnzOwb3SsA34uPjzYMPPmhsNpv9WvbSSy+5vZypU6ea0NBQExwcbO69914zefJk89xzz5ny5csbSeaOO+4wycnJbi8X3nH06FFzzTXXGEmmfv365o033jDvvfeeufHGG+33iJUrV7pcTn7vx127dnXDbwV34bky3MXT5xLP0YoWV5/15aWwXpcIfgP/s3fvXvuXkWHDhjmsS0pKMu3btzeSTJMmTUxSUpLT5Tz99NNGkomOjja7du1yWLdkyRITFBRkbDabmT17ttNlFGUVK1Y0kky7du3MqVOnsqxfsGCBKVasmJFkWrZsaVJTU50qJ/0/CR999JHZvn17rj+uBNmLsnbt2plmzZrl+ff9448/XCqHNuk56Q/R8zqG27dvNzExMU4/sKc9ui4tLc28++67JiIiwpQsWdI0b968wP8hnjRpkpFkwsLCzLp16xzWbdiwwURERLjli9OpU6dM3bp1jSTTq1cvk5KS4vB73HnnnUaSiYmJKXLBGWNcO5ZLliyx5x03blyW9SkpKeaOO+6w53n//fddquuAAQNM5cqV83WNyHiciwJX22R68Pu1117L8297+PBhl+pKm8ydq8dSkunZs2eex3HGjBlGkqlXr57TdaVN5sxd3zG4VwK+8f3335uYmBgTFBRkOnXq5LHg98KFC+0vw3z99dcO6/bs2WMPZLjjxTN4X3Jysv1F0ZYtW5qzZ886rH/mmWeMJFO6dGmzc+dOl8pKP0/yuh/v37/fpXLgPjxXhrt441ziOVrR4I5nfflRWK9LBL+B/7ntttuMJFO9evVsbxx//vmn/YHGmDFjnCpj69at9i9CkyZNyjZPerCoYsWKJiEhwalyirKKFSua4OBgs3fv3hzzDBo0yH6hnzVrllPlpP8nwZ03Cjhq166dadeunUfLoE16VvrfLi9r1qwxkswVV1zhVDm0R9e99NJLRpK5/vrrzb59++zL+f27/vvvv/Yea08//XSuZYSFhbn0kOapp54ykkxkZKT5999/s6w/ceKEKV26tJFkhg4d6nQ5/sqVY5ke/O7cuXOOeRISEky5cuXsD/bOnTvndF0HDBhgYmJinN4+kLnaJtOD39OmTfN4XWmTuXP1WEoyAwYMyDNf+pv2b7/9ttN1pU3mzB3fMbhXAr6xfPlyY7PZTJ06dczq1asderu5M/idlJRkqlevbiSZPn36ZJtn2rRpRpKx2Wzml19+cVvZ8I6JEyfaj9+2bduyrL9w4YKpXbu2kWS6devmUlmeeDkDnsVzZbiLN84lnqMVDa5+F82PwnxdYs5vQNKuXbs0Z84cSVL//v0VGhqaJc+ll16q9u3bS5LeeOMNpaSkFLic0aNHKy0tTSVKlNCdd96ZbZ6BAwdKko4cOaKpU6cWuAxIjRo1UvXq1XNc36tXL/vnBQsWeKNKKKRok55Vv359tWvXLs98//3vfyVJDzzwgKerhBwYYzR16lR98803qlatWoG3Hz9+vBISEiRJ999/f7Z57r//ftlsNiUlJentt992qp5nzpzRu+++K0nq2bOnypcvnyVPmTJl1Lt3b0nS5MmTi9y8tK4eS0m66aabclwXERGh66+/XpJ06tQp/fjjj06Vgdy54zh6A20yb64ey3bt2ql+/fq55klISNCsWbMUGhqqAQMGOFtV5MHV7xjcKwHfSEhI0LBhw7R582a1atXKY+V88skn2rdvn6SL3yEz69u3r6KiomSM0auvvuqxusD9jDEaPXq0JKlVq1Zq0KBBljzFixfX3XffLUlauHChNm/e7M0qwod4rgx38da5hKLBG88VCvN1ieA3IOmLL76QMUaS1KlTpxzzde7cWZJ09OhR/fDDDwUq4/z58/aHINdcc42ioqKyzdeiRQtFRkZKkv1mh/ybNWuWPvjgg1zzxMTE2D+nfzlF0UOb9LwRI0bkea08ffq05syZo/DwcN11113eqRiyePnll3Xfffc5vf0XX3whSapRo4Zq166dbZ6qVavaAzgZ77sFsXDhQp07d05S/u7XycnJmjt3boHL8WeuHMumTZtqyZIl6tu3b675uI96nqtt0ltok3lz9Vj+8MMPGjFiRK55Zs6cqYSEBPXq1UvlypVzuizkzB3fMbhXAr7RrVs3jR07ViVKlPBoOenfFUNCQtSmTZts84SFhal169aSpG+++cb+QgwKv3Xr1mn//v2S8ndtlXh+UJTwXBnu4o1zCUWHp58rFPbrEsFvQNLy5cvtnxs1apRjvsaNG2e7TX78+uuvio+Pz7OMoKAgXXnllZKkn376yf7gAvnTvn17+98vJ6dOnbJ/joiIcFvZFy5c4Hh52JkzZ5SWluaWfdEmC4dPPvlEZ8+eVZ8+fVSqVCm37Zf2WDA2m83pbQ8ePKg//vhDUu5tSbp4Hz1w4IB27dpV4LK8cb/2d64cy+joaHXp0iXP4Jmn7qOS1TsrNTXVrfv0R64cx5ykpKQoMTHRrfukTebNE8cys/QRVAYNGuT2fdMmLa5+x+BeCfiON67DqampWrVqlSSpQYMGCgkJyTFvettLSkrS2rVrPV43uEd+r62xsbEKCgrKso2r0tLSeFmiEOO5MtzFl/+P4zla4PH0/4EK+3WJ4DcgaevWrZKkqKioXIMvGYeH2LZtm1NlZN5PbuWkpaVpx44dBSoHedu9e7f9c9u2bV3a19q1a3XTTTepcuXKCgsLU3h4uEqXLq2uXbvq66+/dqq3Bi46e/asRo4cqSuvvFIREREqWbKkihcvrgYNGujJJ5/UP//84/S+aZOFw5QpUyS5Z8hz2qNvONOWpILfRwtSlqvlIHfp91Gbzeby8KEpKSkaP368mjVrplKlSikqKkrFixdXrVq19NBDDzkV+MFF27Zt0x133KHq1asrLCxMkZGRioiIUMeOHTVt2jSXh8ijTfrexo0bFRcXp/r167v8/1qJNumK3L5jcK8EAtuff/6ppKQkSZ5v4/CN/F5bQ0ND7dNNuHp89+3bp0GDBqlWrVoKCwtTVFSUQkND1bJlS40fP54gVSHCc2W4izfOpYx4jgZXFPbrEsFvFHnnz5/X4cOHJUkVK1bMNW/G9Xv27ClQORnze7Ic5O3rr7+WZA05lj4fk7Oee+45HTx4UCNGjNCCBQs0a9Ys3Xzzzfr22291yy23qEePHjpz5owbal00/fLLLxo9erTatGmjadOmaeHChXrzzTeVmpqqMWPGqH79+po/f75T+6ZN+t66deu0ZcsWXXnllWrevLnL+6M9+oY321L6NsHBwSpbtmyO+cLCwlSyZEmny0HOTp8+bR9WrXv37i7PG3Xw4EENHz5cDRo00MSJE7Vo0SK9++67KleunN5//301bNhQkydPdkPNi6YxY8YoLi5OQ4cO1ddff605c+bovvvu09q1a3XvvfeqTZs2OnTokNP7p036Xnr7cMdLZBJt0hW5fcfgXgkENr5bBj5njnF8fLxOnjzpdJnTpk3TokWLNGDAAM2ePVtff/21hg8fru3bt2vYsGFq1KiRfVQR+A7PleEu3jqXMuI5GlxR2K9LwV4pBSjEMl7Aw8LCcs2bcY6ogl74vVUOcvfvv/9q3rx5kqQnnnhClStXdml/jzzyiN555x37sFaS1LdvX/Xt21fdunXTwoULdccdd9jnv0DBVKhQQStWrFCDBg3saV27dtXQoUPVvXt3LV26VLfeeqtWrFihli1bFmjftEnfSx+m1V0P7GmPvuHNtpS+TV7lpJcVHx+vhIQEGWO8MuRlUfDRRx8pKSlJISEhev31113eX3h4uJYsWZKll+RDDz2ke++9Vx999JEefPBBlS1bVrfeeqvL5RU1vXr10owZMxQaGmpP6927t+655x5de+21Wrdunbp37641a9Y45Mkv2qRvJSYmaubMmQoNDVX//v3dsk/apHPy+o7BvRIIbHy3DHyuHOMyZco4VWarVq20aNEih96fPXv21KBBg9S6dWvt3LlT119/veLi4vKctgiew3NluIsvjjHP0eCKwn5douc3iryMwwTlNi9T5vVnz54tlOUgd08++aSSkpJ01VVX6fnnn3d6P82bN9eePXs0btw4h/8gpLv++uv14IMPSpIWLlxofxiG/Pvss8+0Y8cOh8B3utDQUE2fPl2hoaG6cOGChg4dWuD90yZ9Kz4+Xp9//rnCw8PVr18/l/ZFe/Qtb7al9LLyKidjnrS0NJ0/f77AZSGrf//9V//5z38kSa+++qouu+wyl/Y3ZswY7dmzJ9uhmoOCgvTee+/Z3w5+9NFH7cOJIm9Vq1bV7t27NWvWrGyD2o0bN9aLL74oSYqLi9P777/vVDm0Sd+aNWuWzpw5o969e7vloTdt0nl5fcfgXgkENr5bBj5vH+Pdu3dr6dKl2Q57HBMTo3HjxkmS9u7dq1GjRjlVBtyD58pwF28eY56jwR0K+3WJ4DeKvIxvnVy4cCHXvBnXh4eHF8pykLNPP/1UH3/8sSpUqKAvv/zSqR5O6cLCwhQTE5Nr74j77rvP/vnDDz90uqyi6pJLLsn1DenKlSurS5cukqz5Ljdu3Fig/dMmfevTTz/V2bNn1adPn1znMcoP2qNvebMtpZeVVzkZ8wQFBbl0vYclNTVV/fv317Fjx9S3b18NHz7c5X1GR0fb50TMTkREhPr27StJOnTokJYsWeJymUVFcHCwatSooeLFi+eY55577rFfN529LtImfcvdI6jQJp2Tn+8Y3CuB3KWkpMhms7n8M336dJ/Un++WhYenziVvH+MaNWo4lJlZz5497S++TZ8+XWlpaU6VA9fxXBnu4s1jzHM0uENhvy4R/EaRFxUVZf+cV++FjG+zZNyuMJWD7K1atUoDBw5UyZIltXjxYtWoUcPjZV5xxRX2h0hr1671eHlFUdOmTe2fC/o3pk36VvoD+0GDBnmlPNqj53izLaVvk5/ehullRUZGMoyrGzzyyCP69ttv1bFjR02fPt1rf1NXrvPIXdmyZVWrVi1J0m+//aaEhIQC74M26TubNm3SL7/8ovr162fbU9tTaJOO8vsdg3slENj4bhn4CtsxLlasmBo1aiRJOnXqlLZv3+6RcpA3nivDXQrbMeY5GvJS2M7ZzJjzG0VeaGioLrnkEh0+fFhHjhzJNW/G9QUNnmbM78lykNX69evVvXt3hYSE6Ntvv1WTJk28Um6xYsVUtmxZHTp0SMePH1dKSoqCg7nsulOFChXsnw8fPlygbWmTvvPzzz9r8+bNio2N1TXXXOOVMmmPnuPNtlSjRg0dPnxYKSkpOnHihMqWLZttvqSkJMXHxztdDhw988wzmjhxotq3b6958+Z5tXegK9d55K1ChQr666+/ZIzRkSNHFBkZWaDtaZO+M3nyZEnee4ksHW3yooJ8x+BeCeQuODjYLcG7SpUquaE2Bcd3y8LDU+dSjRo1tG7dOknWMaxSpUqO26Yf45IlSzo933d+ZL4nN2zY0GNlIWc8V4a7eOtcyi+eoyEvhf26xNkKSLr88st1+PBhnTlzRqdPn85xCN4DBw7YPxf0P5WXX365/fP+/ftzzZteTlBQkOrXr1+gcuAoLi5O119/vYwx+u6779S8eXOvlp8+9JTNZst2DhW4JuPQXsWKFSvQtrRJ33H3MK35RXv0DGfaklTw+2h6WekPnfbv35/jA31Xy8FFL7zwgl5//XW1a9dOCxcu9Pqwea5c55E3V/++tEnfSExM1MyZMxUWFqb+/ft7tWzapKWg3zG4VwJ58+fvWbVr11ZYWJiSkpI83saRN0+cS5mv41dddVW2+c6fP6+jR49K8vzx5Z5cePBcGe7ijXOpIHiOhtwU9usSZywgqUOHDvbPmzZtyjHfhg0bst0mP5o2bWof0iG3MtLS0rR582ZJUosWLXKd4we527hxozp37qyUlBR98803bgt8nz59WqNGjdLKlStzzZecnKwTJ05Ist7I5T8J+bdgwQKNGjVKxphc82XscVTQt/xpk74RHx+vzz//XOHh4erXr5/L+6M9+l6VKlVUt25dSbm3JenifbRq1aqqU6dOgcvyxv0aF7388ssaNWqU2rRpo0WLFrk18L1q1SqNGjVKJ0+ezDWfK9f5omzUqFGaN29envnS/75BQUEOvYfyizbpG5999pni4+PVu3fvHAObBUWbzD9nvmNwrwQCW7FixexTUPz++++5znuZ3vbCwsLUsmVLr9QPrsvvtXXz5s32YJGz19YJEybo448/zjMf9+TCg+fKcBdvnEs8R4O7FPbrEmcsIKl37972Oc6WLVuWY77vv/9ekhQdHa1rr722QGWEhoaqR48ekqwhf3OaV3HdunX2dbfeemuBysBFW7ZsUefOnXXhwgUtWbIk2y+Vr7zyisO8hfl18uRJvfDCC5o1a1au+eLi4pScnCxJat26dYHLKcq+/PJLvfDCC3kOmZLeq0Uq+N+YNukbM2bMUGJiovr27auSJUu6vD/aY+GQ3jb27Nmjv//+O9s8Bw8e1I4dOyQ53ncLolu3bvb/JOfnfl28eHHddNNNBS4H0quvvqpXXnlFrVq10uLFixUREZElT9OmTfXKK684tf/ly5frhRde0B9//JFrPleu80XZCy+8oEmTJuWa59ChQ9q7d68k6aqrrnLq5QbapG94YgQV2mT+uPIdg3slENjS2/iFCxe0evXqbPMkJSVpzZo1kqQuXboUeLoR+E7z5s1VtWpVSfm7tkrOPz8YM2aMXnvttVzznD9/Xhs3bpQklS9f3v6CFXyD58pwF2+cSzxHg7sU9usSwW9AUp06dewN75NPPsn2Ld2///5by5cvlyQ9/fTTWea42Lp1q+rWrauqVatq1apV2ZYzYsQIBQUF6dy5c5o5c2a2eaZOnSpJqlixou6//36nf6eibOvWrerYsaPOnTunxYsX53iD3r17t+Li4rLdPq9jKUnfffedUlNTc1yf8aGzt4d3DhRLlizJcd2uXbvs/9lr2bJllmF+aJOF05QpUyTlf45S2qN/eOSRR+wP79LbTGYffPCBjDEKCwvT8OHDs80zduxYlSpVStddd53Onj2bZX1UVJQefvhhSdLcuXN1/PjxLHlOnz6tL774QpJ1rMuXL+/U71SUvfHGG3r++efVokULLVmyJMcHs3Fxcdq9e3e26/I6lulyu86fOHFCs2fPliTFxMTouuuuK8BvgbVr19rn883O+++/b/+c03WRNln4bNmyRevXr9dll12mNm3a5Hs72qTrXP2Owb0S8F8JCQnq1KmTSpcurfHjx2eb56677lL16tUl5dzGZ8+ebb83P/vss56pLDzCZrPZj9nq1avtLypllJKSounTp0uSunbtqtjY2Cx58nMuSdLOnTtzfFFKkmbOnGk/lwYOHOjUy1JwH54rw128dS5JPEdD3vz+umQAGGOM2bt3rylfvryRZIYPH+6wLikpyXTs2NFIMk2aNDHnzp3Lsn3fvn2NJCPJtGjRIsdynn76aSPJlC9f3vz1118O67799lsTFBRkJJnZs2e75xcrYrZt22YqVKhgJJkXX3zRrFixIsef66+/3mR3GczrWO7evdu+/vHHHzdpaWlZ8kyfPt3YbDYjydx+++0e+V0D2YABA4wkU7FiRfPHH39kWX/8+HHTpEkTI8mEh4ebDRs2ZMlDmyx81q9fbySZ2NjYfG9De/SNl156yf53XbFiRb62mTRpkpFkwsLCzPr16x3Wbdq0yURERBhJ5q233sp2+4SEBBMcHGwvd/LkydnmO3XqlKlbt66RZG699VaTmppqX5eWlmbuuusuI8nExMSYo0eP5u8XDmAFPZZjxoyxXxPnzZuX631UkhkwYECWfeTnWKbXKyIiwqxZsybL+rNnz5obb7zRSDJBQUFm8eLFzvz6AaOgxzE9b58+fcz58+ezrP/2229NaGiokWTatm1rkpOTs+ShTXqGM9fXjAYPHmwkmXfeeSff29AmXeeO7xjGcK8ECoP0/8NIMi+99FK+tnn//fft2wQHB5uEhIRs8y1cuNAEBQUZm81m5s2b57Bu7969pnLlykaSGTJkiKu/BnwgOTnZtG7d2kgyrVu3NmfPnnVY/9xzzxlJpnTp0mbnzp3Z7iM/51JMTIz9/2jx8fFZ1m/cuNGULVvWSDL169c3p0+fds8vCJfwXBnu4ulziedoRVdBv4v6+3XJ8bUQoAirXr26FixYoJtvvllvv/22tm7dqh49eujcuXP66KOP9Ntvv6lRo0aaP3++wsLCsmyfPqePpFznKX7ttdd0/PhxTZ06VVdffbUGDRqkGjVqKC4uTtOmTVNQUJDGjh3L0DROSEpKUseOHfXvv/9KkkaOHKmRI0cWeD95HcvIyEhdeuml+uuvvzR27FgtX75cvXr1UtWqVXXy5EktWbJES5culSTdfffdeQ47iqwaNGig4sWL68iRI2rUqJH69u2rZs2aKSQkRNu3b9fHH3+so0ePqmLFivr888/VuHHjLPugTRY+6cO05rfXt0R79KZPP/3U/nnLli32z0uXLtWBAwckWW9pdu7cOdvtH3zwQR05ckQjR45U+/btdf/996thw4basWOHpkyZosTERD3xxBN64oknst3eGONwjHNqt6VKldKiRYvUtWtXzZkzR/v27dPtt98um82m2bNna82aNapZs6YWLFig6OjoAv8dAoGzx3Lu3Ln243P06FGnh8HNz7GsU6eOwsPDlZiYqHbt2umWW25RmzZtFBERob/++kuffvqp9u7dq6ioKH344Ye64YYbnKqLP3OlTcbGxmrz5s36/PPPFRcXp759+6pWrVpKTEzUDz/8oK+++krGGN1www2aMWNGlt4CEm3SnVy9vqY7e/asZsyYobCwMPXv3z/f5dMmXeOu7xgS90rAV5YuXWqfUmv79u329C1btjhco/v165ft9hm/k0g5t72uXbtq8uTJGjJkiHr37q3+/fvrmmuu0b59+zR58mQdPXpUt99+u8aNG+fibwRfCA4O1tdff61u3bpp9erVatKkie655x5FRERo8eLFWrRokaKjo/XFF1+oTp062e4jP+dSbGys9u7dq1WrVqlevXq68847Vb9+fSUnJ2vdunWaNWuWLly4oGbNmunLL790y3RicB3PleEunj6XeI5WtLjyXdTvr0teC7MDfuLo0aPmueeeMw0aNDARERGmdOnS5uqrrzbjxo3LtudMus2bN5vatWubKlWqmJUrV+ZZzqJFi0y3bt3MJZdcYkJDQ01MTIzp37+/iYuLc+evU6ScPHnS/jZSQX4yy8+xTEtLM8uWLTPDhg0zzZs3N+XKlTPBwcEmMjLS1KtXz9x///3mp59+8vSvHNAOHTpk3nvvPdOzZ09z6aWXmvDwcFO8eHFToUIF07FjR/POO+9k+xZ0Otpk4RIfH28iIyNNREREgd5Mpz16T36ul+3atctzP2vWrDF9+vQxVapUMSEhIaZy5cqmV69eZvny5Xlu++abb5qSJUuazp0759ijJl1CQoJ5/fXXTePGjU1UVJSJiooysbGx5j//+U+R7/3g7LF85513CnwPza7ntzH5O5YnT54006ZNM3369DH169c3kZGRJjg42ERHR5tWrVqZ//znP+bff/9141/Gv7jaJtetW2dGjBhh2rRpYypUqGCKFy9uwsPDTa1atcydd95pvvnmmzzrQJt0D3ddXz/88EMjyfTr16/AdaBNOs9d3zEy4l4JeFe7du1carfx8fHm2muvNSVLljTjxo3Ls7zffvvN3HfffaZGjRomNDTUVKxY0XTp0sV89dVX7vy14CPJyclm4sSJpkWLFqZMmTImPDzc1K9f3zz11FPmn3/+yXXb/J5LW7duNSNHjjQdO3Y0lStXNiEhISYsLMxUq1bN3HLLLWb27NkmJSXF3b8a3IDnynAXT55LPEcrOlz5Lurv1yWbMbmE7AEAAAAAAAAAAAAA8ANBvq4AAAAAAAAAAAAAAACuIvgNAAAAAAAAAAAAAPB7BL8BAAAAAAAAAAAAAH6P4DcAAAAAAAAAAAAAwO8R/AYAAAAAAAAAAAAA+D2C3wAAAAAAAAAAAAAAv0fwGwAAAAAAAAAAAADg9wh+AwAAAAAAAAAAAAD8HsFvAAAAAAAAAAAAAIDfI/gNAAAAAAAAAAAAAPB7BL8BAAAAAAAAAAAAAH6P4DcAAAAAAAAAAAAAwO8R/AYAAAAAAAAAAAAA+D2C3wAAAAAAAAAAAAAAv0fwGwAAAAAAAAAAAADg9wh+AwAAAAAAAAAAAAD8HsFvAAAAAAAAAAAAAIDfI/gNAAAAAAAAAAAAAPB7BL8BAAAAAAAAAAAAAH6P4DcAAAAAAAAAAAAAwO8R/AYAAAAAAAAAAAAA+D2C3wAAAAAAAAAAAAAAv0fwGwAAAAAAAAAAAADg9wh+AwAAAAAAAAAAAAD8HsFvAAAAAAAAAAAAAIDfI/gNAAAAAAAAAAAAAPB7BL8BAAAAAAAAAAAAAH6P4DcAAAB8Zvbs2Tp69KivqwEAAAAAAAAgABD8BgAAgE/MmjVLffr0UWJioq+rAgAAAAAAACAA2IwxxteVAAAAQNGyefNmtWzZUpUrV9auXbt8XR0AAAAAAAAAAYCe3wAAAPCqX375RZ06ddLZs2fVuXNnX1cHAAAAAAAAQIAg+A0AAACvWbx4sTp06KBjx45Jkq677jof1wgAAAAAAABAoCD4DQAAAI9LSEjQY489pm7duikhIUGSFBwcrA4dOvi4ZgAAAAAAAAACBcFvAAAAeMyGDRs0fPhw1apVS+PGjZMxxr4uIiJCTz31lB588EE9+OCDGjt2rA9rCgAAAACAbx0/flzTp09Xnz59VKNGDUVEROjuu+9WWlpatvkvXLigV199VTVr1lRUVJQeeeQRL9cYAAofm8n4BBIAAABwk7179+rSSy9VampqvvIPGDBA06dP92ylAAAAAAAoZJYuXaqJEydq0aJFSk5OzrJ+5syZuv322x3S4uPjdeONN2rNmjUO6atXr1arVq08Wl8AKMzo+Q0AAACPiImJUUpKiowxMsboySefdFj/888/29cZYwh8AwAAAACKpD/++EO33Xabdu7cqcOHD+u+++5zWD9r1iyH5eTkZPXo0SNL4FuSzp0759G6AkBhR89vAAAAeEXTpk0VFxcnSSpVqpSOHz+uYsWK+bhWAAAAAAAULqdPn1bFihV1/vx5SVLJkiV18uRJBQVZ/RmHDh2qzz77TB9//LFiYmI0efJkffzxx2rTpo3mzp3Ld20ARRrBbwAAAHjcyZMnFR0dbZ+nrHv37po/f76PawUAAAAAQOF03XXXaenSpfblbdu2qUGDBpo7d67uuOMO/fjjj2rSpIlT+/7333919OhRNWzY0F3VBYBCg2HPAQAA4HErVqywB74lqUOHDj6sDQAAAAAAhdu1117rsPzrr7/qyJEjuv/++/Xuu+86Ffg+duyYnn76adWqVUtz5sxxU00BoHAJ9nUFAAAAEPiWL1/usNyxY0cf1QQAAAAAgMKvVatWDsu//vqr5s+frxYtWmSZEzwvx48f19tvv613331XCQkJ7qwmABQ6BL8BAADgccuWLbN/Ll++vC6//HIf1gYAAAAAgMLt6quvVvHixZWcnCxJ+vjjj5Wamqrff/893/tISUnR6NGj9fvvv6ty5cqeqioAFCoEvwEAAOBR//zzj3bs2GFfbt++vWw2mw9rBAAAAABA4VaiRAk1btxY69evlySdPn1ab7zxhqpVq5bvfdhsNg0ZMkRly5aVJJ07d06TJk3ySH0BoLBgzm8AAAB4VMZe3xLzfQMAAAAAkB8tW7Z0WM48D3heihUrZg98S1KFChXcUS0AKNQIfgMAAMCjMs/3TfAbAAAAAIC8ZZ73+7fffvNRTQDAfxD8BgAAgEdl7PldrVo11alTx4e1AQAAAADAP8TExDgsr1mzxkc1AQD/QfAbAAAAHrNr1y7t37/fvkyvbwAAAAAA8paSkqKHH37YIe2HH37wTWUAwI8Q/AYAAIDHMN83AAAAAAAF9+KLL2rr1q0OQ5/v3r3b4QVzAEBWBL8BAADgMcz3DQAAAABAwaxcuVJvvPGGJk2apAEDBjiso/c3AOSO4DcAAAA8whijFStW2Jfr1KmjqlWr+rBGAAAAAAAUbidPnlS/fv00YMAA3XXXXWrXrp3D+pUrV/qoZgDgHwh+AwAAwCM2b96sY8eO2Zc7duzosP6jjz7SwYMHvV0tAAAAAAAKrYEDB6pkyZKaMGGCJKlu3bqqVKmSfX12Pb937NihGTNmeKuKAFCoEfwGAACAR2T+Qp5xyPPVq1dr5syZqly5spdrBQAAAABA4TR58mQtWbJEs2fPVnh4uD29bdu29s9//fWXw7zf586dU58+fRQREeHVugJAYUXwGwAAAB7x448/Oiy3b99ekrR//34NHjxYH374oWw2my+qBgAAAACAz6xbt07jxo3T7t277Wlr167VsGHDNGHCBDVs2NAhf+ahz7/44gtJUkpKivr166eGDRuqZ8+eHq83APiDYF9XAAAAAIHpp59+sn+OiIhQdHS0/vnnH/Xs2VPjx49XlSpVfFg7AAAAAAC87++//1bbtm2VnJysp556SgMHDlTNmjU1cuRI9e3bV/fcc0+WbTJPIzZy5EgFBwdr7ty5+vvvv7Vx40ZvVR8ACj2C3wAAAHC7+Ph4HTp0yL6cmJiotm3baseOHRo7dqy9FzgAAAAAAEXJ9u3blZycLElKTk7WxIkTJUktW7bUpEmTst2mbt26atiwobZt2yZJOnXqlB555BFFRERo1apVKl26tFfqDgD+gGHPAQAA4HYlS5ZU7dq1HdJ27typDz/8UP369fNRrQAAAAAA8K0WLVrokksucUjr2LGjFi9erLCwsBy3GzlypIKCLoZ0oqOjtWjRIl111VUeqysA+CN6fgMAAMAj1q5dqzlz5uj06dOqV6+ebrjhBpUoUcLX1QIAAAAAwGfKli2rLVu26Msvv1RiYqKaNm2aZU7v7Nxyyy1av369VqxYobJly+qWW26hxzcAZIPgNwAAADyifPnyGjx4sK+rAQAAAABAoVK+fHk9+OCDBd6uSZMmatKkiQdqBACBg2HPAQAAAAAAAAAAAtyFCxd8XQUA8DiC3wAAAAAAAAAAAAHu999/t38+dOiQD2sCAJ5D8BsAAAAAAAAAACBAnThxQhMnTtT8+fPtaZ9++qm++uornTlzxoc1AwD3sxljjK8rAQAAAAAAAAAAAPdq2rSp4uLics3TqFEjbdy40Us1AgDPIvgNAAAAAAAAAAAAAPB7DHsOAAAAAAAAAAAAAPB7BL8BAAAAAAAAAAAAAH6P4DcAAAAAAAAAAAAAwO8R/AYAAAAAAAAAAAAA+D2C3wAAAAAAAAAAAAAAv0fwGwAAAAAAAAAAAADg9wh+AwAAAAAAAAAAAAD8HsFvAAAAAAAAAAAAAIDfI/gNAAAAAAAAAAAAAPB7BL8BAAAAAAAAAAAAAH6P4DcAAAAAAAAAAAAAwO8R/AYAAAAAAAAAAAAA+D2C3wAAAAAAAAAAAAAAv0fwGwAAAAAAAAAAAADg9wh+AwAAAAAAAAAAAAD8HsFvAAAAAAAAAAAAAIDfI/gNAAAAAAAAAAAAAPB7BL8BAAAAAAAAAAAAAH6P4DcAAAAAAAAAAAAAwO8R/AYAAAAAAAAAAAAA+D2C3wAAAAAAAAAAAAAAv0fwGwAAAAAAAAAAAADg9wh+AwAAAAAAAAAAAAD83v8DyOU2raAfmAQAAAAASUVORK5CYII=\",\n      \"text/plain\": [\n       \"<Figure size 1000x400 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 390,\n       \"width\": 991\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig = plt.figure(figsize=(10, 4))\\n\",\n    \"ax1 = plt.subplot2grid((2, 5), (0, 0), colspan=3)\\n\",\n    \"ax2 = plt.subplot2grid((2, 5), (1, 0), colspan=3)\\n\",\n    \"ax3 = plt.subplot2grid((2, 5), (0, 3), colspan=2, rowspan=2)\\n\",\n    \"\\n\",\n    \"ax1.plot(t, y[:, 0], 'r')\\n\",\n    \"ax1.set_ylabel('$x_1$', fontsize=18)\\n\",\n    \"ax1.set_yticks([-1, -.5, 0, .5, 1])\\n\",\n    \"\\n\",\n    \"ax2.plot(t, y[:, 2], 'b')\\n\",\n    \"ax2.set_xlabel('$t$', fontsize=18)\\n\",\n    \"ax2.set_ylabel('$x_2$', fontsize=18)\\n\",\n    \"ax2.set_yticks([-1, -.5, 0, .5, 1])\\n\",\n    \"\\n\",\n    \"ax3.plot(y[:, 0], y[:, 2], 'k')\\n\",\n    \"ax3.set_xlabel('$x_1$', fontsize=18)\\n\",\n    \"ax3.set_ylabel('$x_2$', fontsize=18)\\n\",\n    \"ax3.set_xticks([-1, -.5, 0, .5, 1])\\n\",\n    \"ax3.set_yticks([-1, -.5, 0, .5, 1])\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Same calculation, but using SymPy to setup the problem for SciPy\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 152,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"L1 = L2 = 0\\n\",\n    \"t = sympy.symbols(\\\"t\\\")\\n\",\n    \"m1, k1, b1 = sympy.symbols(\\\"m_1, k_1, b_1\\\")\\n\",\n    \"m2, k2, b2 = sympy.symbols(\\\"m_2, k_2, b_2\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 153,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x1 = sympy.Function(\\\"x_1\\\")\\n\",\n    \"x2 = sympy.Function(\\\"x_2\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 154,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ode1 = sympy.Eq(m1 * x1(t).diff(t,t,) + b1 * x1(t).diff(t) + k1*(x1(t)-L1) - k2*(x2(t)-x1(t) - L2), 0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 155,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ode2 = sympy.Eq(m2 * x2(t).diff(t,t,) + b2 * x2(t).diff(t) + k2*(x2(t)-x1(t)-L2), 0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 156,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"params = {m1: 1.0, k1: 10.0, b1: 0.5,\\n\",\n    \"          m2: 2.0, k2: 40.0, b2: 0.25}\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 157,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( 1.0, \\\\  10.0, \\\\  0.5, \\\\  2.0, \\\\  40.0, \\\\  0.25\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"(1.0, 10.0, 0.5, 2.0, 40.0, 0.25)\"\n      ]\n     },\n     \"execution_count\": 157,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"args\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 158,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y1 = sympy.Function(\\\"y_1\\\")\\n\",\n    \"y2 = sympy.Function(\\\"y_2\\\")\\n\",\n    \"y3 = sympy.Function(\\\"y_3\\\")\\n\",\n    \"y4 = sympy.Function(\\\"y_4\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 159,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"varchange = {x1(t).diff(t, t): y2(t).diff(t), \\n\",\n    \"             x1(t): y1(t),\\n\",\n    \"             x2(t).diff(t, t): y4(t).diff(t), \\n\",\n    \"             x2(t): y3(t)}\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 160,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left( b_{1} \\\\frac{d}{d t} y_{1}{\\\\left(t \\\\right)} + k_{1} y_{1}{\\\\left(t \\\\right)} - k_{2} \\\\left(- y_{1}{\\\\left(t \\\\right)} + y_{3}{\\\\left(t \\\\right)}\\\\right) + m_{1} \\\\frac{d}{d t} y_{2}{\\\\left(t \\\\right)}, \\\\  b_{2} \\\\frac{d}{d t} y_{3}{\\\\left(t \\\\right)} + k_{2} \\\\left(- y_{1}{\\\\left(t \\\\right)} + y_{3}{\\\\left(t \\\\right)}\\\\right) + m_{2} \\\\frac{d}{d t} y_{4}{\\\\left(t \\\\right)}\\\\right)$\"\n      ],\n      \"text/plain\": [\n       \"⎛   d                                               d             d                                    d        ⎞\\n\",\n       \"⎜b₁⋅──(y₁(t)) + k₁⋅y₁(t) - k₂⋅(-y₁(t) + y₃(t)) + m₁⋅──(y₂(t)), b₂⋅──(y₃(t)) + k₂⋅(-y₁(t) + y₃(t)) + m₂⋅──(y₄(t))⎟\\n\",\n       \"⎝   dt                                              dt            dt                                   dt       ⎠\"\n      ]\n     },\n     \"execution_count\": 160,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"(ode1.subs(varchange).lhs, ode2.subs(varchange).lhs)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 161,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ode3 = y1(t).diff(t) - y2(t)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 162,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ode4 = y3(t).diff(t) - y4(t)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 163,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"vcsol = sympy.solve((ode1.subs(varchange), ode2.subs(varchange), ode3, ode4),\\n\",\n    \"                    (y1(t).diff(t), y2(t).diff(t), y3(t).diff(t), y4(t).diff(t)))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 164,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left\\\\{ \\\\frac{d}{d t} y_{1}{\\\\left(t \\\\right)} : y_{2}{\\\\left(t \\\\right)}, \\\\  \\\\frac{d}{d t} y_{2}{\\\\left(t \\\\right)} : - \\\\frac{b_{1} y_{2}{\\\\left(t \\\\right)}}{m_{1}} - \\\\frac{k_{1} y_{1}{\\\\left(t \\\\right)}}{m_{1}} - \\\\frac{k_{2} y_{1}{\\\\left(t \\\\right)}}{m_{1}} + \\\\frac{k_{2} y_{3}{\\\\left(t \\\\right)}}{m_{1}}, \\\\  \\\\frac{d}{d t} y_{3}{\\\\left(t \\\\right)} : y_{4}{\\\\left(t \\\\right)}, \\\\  \\\\frac{d}{d t} y_{4}{\\\\left(t \\\\right)} : - \\\\frac{b_{2} y_{4}{\\\\left(t \\\\right)}}{m_{2}} + \\\\frac{k_{2} y_{1}{\\\\left(t \\\\right)}}{m_{2}} - \\\\frac{k_{2} y_{3}{\\\\left(t \\\\right)}}{m_{2}}\\\\right\\\\}$\"\n      ],\n      \"text/plain\": [\n       \"⎧d                 d            b₁⋅y₂(t)   k₁⋅y₁(t)   k₂⋅y₁(t)   k₂⋅y₃(t)  d                 d            b₂⋅y₄(t)   k₂⋅y₁(t)   k₂⋅y₃(t)⎫\\n\",\n       \"⎨──(y₁(t)): y₂(t), ──(y₂(t)): - ──────── - ──────── - ──────── + ────────, ──(y₃(t)): y₄(t), ──(y₄(t)): - ──────── + ──────── - ────────⎬\\n\",\n       \"⎩dt                dt              m₁         m₁         m₁         m₁     dt                dt              m₂         m₂         m₂   ⎭\"\n      ]\n     },\n     \"execution_count\": 164,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"vcsol\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 165,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ode_rhs = sympy.Matrix([y1(t).diff(t), y2(t).diff(t), y3(t).diff(t), y4(t).diff(t)]).subs(vcsol)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 166,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y = sympy.Matrix([y1(t), y2(t), y3(t), y4(t)])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 167,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}\\\\frac{d}{d t} y_{1}{\\\\left(t \\\\right)}\\\\\\\\\\\\frac{d}{d t} y_{2}{\\\\left(t \\\\right)}\\\\\\\\\\\\frac{d}{d t} y_{3}{\\\\left(t \\\\right)}\\\\\\\\\\\\frac{d}{d t} y_{4}{\\\\left(t \\\\right)}\\\\end{matrix}\\\\right] = \\\\left[\\\\begin{matrix}y_{2}{\\\\left(t \\\\right)}\\\\\\\\- \\\\frac{b_{1} y_{2}{\\\\left(t \\\\right)}}{m_{1}} - \\\\frac{k_{1} y_{1}{\\\\left(t \\\\right)}}{m_{1}} - \\\\frac{k_{2} y_{1}{\\\\left(t \\\\right)}}{m_{1}} + \\\\frac{k_{2} y_{3}{\\\\left(t \\\\right)}}{m_{1}}\\\\\\\\y_{4}{\\\\left(t \\\\right)}\\\\\\\\- \\\\frac{b_{2} y_{4}{\\\\left(t \\\\right)}}{m_{2}} + \\\\frac{k_{2} y_{1}{\\\\left(t \\\\right)}}{m_{2}} - \\\\frac{k_{2} y_{3}{\\\\left(t \\\\right)}}{m_{2}}\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡d        ⎤                                                \\n\",\n       \"⎢──(y₁(t))⎥                                                \\n\",\n       \"⎢dt       ⎥   ⎡                   y₂(t)                   ⎤\\n\",\n       \"⎢         ⎥   ⎢                                           ⎥\\n\",\n       \"⎢d        ⎥   ⎢  b₁⋅y₂(t)   k₁⋅y₁(t)   k₂⋅y₁(t)   k₂⋅y₃(t)⎥\\n\",\n       \"⎢──(y₂(t))⎥   ⎢- ──────── - ──────── - ──────── + ────────⎥\\n\",\n       \"⎢dt       ⎥   ⎢     m₁         m₁         m₁         m₁   ⎥\\n\",\n       \"⎢         ⎥ = ⎢                                           ⎥\\n\",\n       \"⎢d        ⎥   ⎢                   y₄(t)                   ⎥\\n\",\n       \"⎢──(y₃(t))⎥   ⎢                                           ⎥\\n\",\n       \"⎢dt       ⎥   ⎢       b₂⋅y₄(t)   k₂⋅y₁(t)   k₂⋅y₃(t)      ⎥\\n\",\n       \"⎢         ⎥   ⎢     - ──────── + ──────── - ────────      ⎥\\n\",\n       \"⎢d        ⎥   ⎣          m₂         m₂         m₂         ⎦\\n\",\n       \"⎢──(y₄(t))⎥                                                \\n\",\n       \"⎣dt       ⎦                                                \"\n      ]\n     },\n     \"execution_count\": 167,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.Eq(y.diff(t), ode_rhs)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 168,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}y_{2}{\\\\left(t \\\\right)}\\\\\\\\- 50.0 y_{1}{\\\\left(t \\\\right)} - 0.5 y_{2}{\\\\left(t \\\\right)} + 40.0 y_{3}{\\\\left(t \\\\right)}\\\\\\\\y_{4}{\\\\left(t \\\\right)}\\\\\\\\20.0 y_{1}{\\\\left(t \\\\right)} - 20.0 y_{3}{\\\\left(t \\\\right)} - 0.125 y_{4}{\\\\left(t \\\\right)}\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"⎡                y₂(t)                ⎤\\n\",\n       \"⎢                                     ⎥\\n\",\n       \"⎢-50.0⋅y₁(t) - 0.5⋅y₂(t) + 40.0⋅y₃(t) ⎥\\n\",\n       \"⎢                                     ⎥\\n\",\n       \"⎢                y₄(t)                ⎥\\n\",\n       \"⎢                                     ⎥\\n\",\n       \"⎣20.0⋅y₁(t) - 20.0⋅y₃(t) - 0.125⋅y₄(t)⎦\"\n      ]\n     },\n     \"execution_count\": 168,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ode_rhs.subs(params)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 169,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"_f_np = sympy.lambdify((t, y), ode_rhs.subs(params), 'numpy')\\n\",\n    \"f_np = lambda _x, _y, *args: _f_np(_x, _y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 170,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y0 = [1.0, 0, 0.5, 0]\\n\",\n    \"tt = np.linspace(0, 20, 1000)\\n\",\n    \"\\n\",\n    \"r = integrate.ode(f_np)\\n\",\n    \"r.set_integrator('lsoda');\\n\",\n    \"r.set_initial_value(y0, tt[0]);\\n\",\n    \"\\n\",\n    \"dt = tt[1] - tt[0]\\n\",\n    \"yy = np.zeros((len(tt), len(y0)))\\n\",\n    \"idx = 0\\n\",\n    \"while r.successful() and r.t < tt[-1]:\\n\",\n    \"    yy[idx, :] = r.y\\n\",\n    \"    r.integrate(r.t + dt)\\n\",\n    \"    idx += 1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 171,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1000x400 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 390,\n       \"width\": 991\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig = plt.figure(figsize=(10, 4))\\n\",\n    \"ax1 = plt.subplot2grid((2, 5), (0, 0), colspan=3)\\n\",\n    \"ax2 = plt.subplot2grid((2, 5), (1, 0), colspan=3)\\n\",\n    \"ax3 = plt.subplot2grid((2, 5), (0, 3), colspan=2, rowspan=2)\\n\",\n    \"\\n\",\n    \"ax1.plot(tt, yy[:, 0], 'r')\\n\",\n    \"ax1.set_ylabel('$x_1$', fontsize=18)\\n\",\n    \"ax1.set_yticks([-1, -.5, 0, .5, 1])\\n\",\n    \"\\n\",\n    \"ax2.plot(tt, yy[:, 2], 'b')\\n\",\n    \"ax2.set_xlabel('$t$', fontsize=18)\\n\",\n    \"ax2.set_ylabel('$x_2$', fontsize=18)\\n\",\n    \"ax2.set_yticks([-1, -.5, 0, .5, 1])\\n\",\n    \"\\n\",\n    \"ax3.plot(yy[:, 0], yy[:, 2], 'k')\\n\",\n    \"ax3.set_xlabel('$x_1$', fontsize=18)\\n\",\n    \"ax3.set_ylabel('$x_2$', fontsize=18)\\n\",\n    \"ax3.set_xticks([-1, -.5, 0, .5, 1])\\n\",\n    \"ax3.set_yticks([-1, -.5, 0, .5, 1])\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Doube pendulum\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"http://scienceworld.wolfram.com/physics/DoublePendulum.html\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"$$\\n\",\n    \"(m_1+m_2) l_1\\\\theta_1'' + m_2l_2\\\\theta_2''\\\\cos(\\\\theta_1-\\\\theta_2)\\n\",\n    \"+ m_2l_2(\\\\theta_2')^2\\\\sin(\\\\theta_1-\\\\theta_2)+g(m_1+m_2)\\\\sin(\\\\theta_1) = 0\\n\",\n    \"$$\\n\",\n    \"\\n\",\n    \"$$\\n\",\n    \"m_2l_2\\\\theta_2'' + m_2l_1\\\\theta_1''\\\\cos(\\\\theta_1-\\\\theta_2) - m_2l_1 (\\\\theta_1')^2 \\\\sin(\\\\theta_1-\\\\theta_2)\\n\",\n    \"+m_2g\\\\sin(\\\\theta_2) = 0\\n\",\n    \"$$\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 172,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"t, g, m1, l1, m2, l2 = sympy.symbols(\\\"t, g, m_1, l_1, m_2, l_2\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 173,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"theta1, theta2 = sympy.symbols(\\\"theta_1, theta_2\\\", cls=sympy.Function)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 174,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle g \\\\left(m_{1} + m_{2}\\\\right) \\\\sin{\\\\left(\\\\theta_{1}{\\\\left(t \\\\right)} \\\\right)} + l_{1} \\\\left(m_{1} + m_{2}\\\\right) \\\\frac{d^{2}}{d t^{2}} \\\\theta_{1}{\\\\left(t \\\\right)} + l_{2} m_{2} \\\\sin{\\\\left(\\\\theta_{1}{\\\\left(t \\\\right)} - \\\\theta_{2}{\\\\left(t \\\\right)} \\\\right)} \\\\left(\\\\frac{d}{d t} \\\\theta_{2}{\\\\left(t \\\\right)}\\\\right)^{2} + l_{2} m_{2} \\\\cos{\\\\left(\\\\theta_{1}{\\\\left(t \\\\right)} - \\\\theta_{2}{\\\\left(t \\\\right)} \\\\right)} \\\\frac{d^{2}}{d t^{2}} \\\\theta_{2}{\\\\left(t \\\\right)} = 0$\"\n      ],\n      \"text/plain\": [\n       \"                                        2                                              2                              2           \\n\",\n       \"                                       d                                    ⎛d        ⎞                              d            \\n\",\n       \"g⋅(m₁ + m₂)⋅sin(θ₁(t)) + l₁⋅(m₁ + m₂)⋅───(θ₁(t)) + l₂⋅m₂⋅sin(θ₁(t) - θ₂(t))⋅⎜──(θ₂(t))⎟  + l₂⋅m₂⋅cos(θ₁(t) - θ₂(t))⋅───(θ₂(t)) = 0\\n\",\n       \"                                        2                                   ⎝dt       ⎠                               2           \\n\",\n       \"                                      dt                                                                            dt            \"\n      ]\n     },\n     \"execution_count\": 174,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ode1 = sympy.Eq((m1+m2)*l1 * theta1(t).diff(t,t) +\\n\",\n    \"                m2*l2 * theta2(t).diff(t,t) * sympy.cos(theta1(t)-theta2(t))  +\\n\",\n    \"                m2*l2 * theta2(t).diff(t)**2 * sympy.sin(theta1(t)-theta2(t)) + \\n\",\n    \"                g*(m1+m2) * sympy.sin(theta1(t)), 0)\\n\",\n    \"ode1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 175,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle g m_{2} \\\\sin{\\\\left(\\\\theta_{2}{\\\\left(t \\\\right)} \\\\right)} - l_{1} m_{2} \\\\sin{\\\\left(\\\\theta_{1}{\\\\left(t \\\\right)} - \\\\theta_{2}{\\\\left(t \\\\right)} \\\\right)} \\\\left(\\\\frac{d}{d t} \\\\theta_{1}{\\\\left(t \\\\right)}\\\\right)^{2} + l_{1} m_{2} \\\\cos{\\\\left(\\\\theta_{1}{\\\\left(t \\\\right)} - \\\\theta_{2}{\\\\left(t \\\\right)} \\\\right)} \\\\frac{d^{2}}{d t^{2}} \\\\theta_{1}{\\\\left(t \\\\right)} + l_{2} m_{2} \\\\frac{d^{2}}{d t^{2}} \\\\theta_{2}{\\\\left(t \\\\right)} = 0$\"\n      ],\n      \"text/plain\": [\n       \"                                                      2                              2                  2           \\n\",\n       \"                                           ⎛d        ⎞                              d                  d            \\n\",\n       \"g⋅m₂⋅sin(θ₂(t)) - l₁⋅m₂⋅sin(θ₁(t) - θ₂(t))⋅⎜──(θ₁(t))⎟  + l₁⋅m₂⋅cos(θ₁(t) - θ₂(t))⋅───(θ₁(t)) + l₂⋅m₂⋅───(θ₂(t)) = 0\\n\",\n       \"                                           ⎝dt       ⎠                               2                  2           \\n\",\n       \"                                                                                   dt                 dt            \"\n      ]\n     },\n     \"execution_count\": 175,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ode2 = sympy.Eq(m2*l2 * theta2(t).diff(t,t) +\\n\",\n    \"                m2*l1 * theta1(t).diff(t,t) * sympy.cos(theta1(t)-theta2(t)) -\\n\",\n    \"                m2*l1 * theta1(t).diff(t)**2 * sympy.sin(theta1(t) - theta2(t)) +\\n\",\n    \"                m2*g * sympy.sin(theta2(t)), 0)\\n\",\n    \"ode2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 176,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"cannot determine truth value of Relational\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"# this is fruitless, sympy cannot solve these ODEs\\n\",\n    \"try:\\n\",\n    \"    sympy.dsolve(ode1, ode2)\\n\",\n    \"except Exception as e:\\n\",\n    \"    print(e)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 177,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y1, y2, y3, y4 = sympy.symbols(\\\"y_1, y_2, y_3, y_4\\\", cls=sympy.Function)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 178,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"varchange = {theta1(t).diff(t, t): y2(t).diff(t), \\n\",\n    \"             theta1(t): y1(t),\\n\",\n    \"             theta2(t).diff(t, t): y4(t).diff(t), \\n\",\n    \"             theta2(t): y3(t)}\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 179,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ode1_vc = ode1.subs(varchange)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 180,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ode2_vc = ode2.subs(varchange)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 181,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ode3 = y1(t).diff(t) - y2(t)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 182,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ode4 = y3(t).diff(t) - y4(t)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 183,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"ode3 = sympy.Eq(y1(t).diff(t), y2(t))\\n\",\n    \"ode4 = sympy.Eq(y3(t).diff(t), y4(t))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 184,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y = sympy.Matrix([y1(t), y2(t), y3(t), y4(t)])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 185,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"vcsol = sympy.solve((ode1_vc, ode2_vc, ode3, ode4), y.diff(t), dict=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 186,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f = y.diff(t).subs(vcsol[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 187,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\\n\",\n      \"text/latex\": [\n       \"$\\\\displaystyle \\\\left[\\\\begin{matrix}\\\\frac{d}{d t} y_{1}{\\\\left(t \\\\right)}\\\\\\\\\\\\frac{d}{d t} y_{2}{\\\\left(t \\\\right)}\\\\\\\\\\\\frac{d}{d t} y_{3}{\\\\left(t \\\\right)}\\\\\\\\\\\\frac{d}{d t} y_{4}{\\\\left(t \\\\right)}\\\\end{matrix}\\\\right] = \\\\left[\\\\begin{matrix}y_{2}{\\\\left(t \\\\right)}\\\\\\\\\\\\frac{g m_{1} \\\\sin{\\\\left(y_{1}{\\\\left(t \\\\right)} \\\\right)} + \\\\frac{g m_{2} \\\\sin{\\\\left(y_{1}{\\\\left(t \\\\right)} - 2 y_{3}{\\\\left(t \\\\right)} \\\\right)}}{2} + \\\\frac{g m_{2} \\\\sin{\\\\left(y_{1}{\\\\left(t \\\\right)} \\\\right)}}{2} + \\\\frac{l_{1} m_{2} y_{2}^{2}{\\\\left(t \\\\right)} \\\\sin{\\\\left(2 y_{1}{\\\\left(t \\\\right)} - 2 y_{3}{\\\\left(t \\\\right)} \\\\right)}}{2} + l_{2} m_{2} y_{4}^{2}{\\\\left(t \\\\right)} \\\\sin{\\\\left(y_{1}{\\\\left(t \\\\right)} - y_{3}{\\\\left(t \\\\right)} \\\\right)}}{l_{1} \\\\left(- m_{1} + m_{2} \\\\cos^{2}{\\\\left(y_{1}{\\\\left(t \\\\right)} - y_{3}{\\\\left(t \\\\right)} \\\\right)} - m_{2}\\\\right)}\\\\\\\\y_{4}{\\\\left(t \\\\right)}\\\\\\\\\\\\frac{g m_{1} \\\\sin{\\\\left(2 y_{1}{\\\\left(t \\\\right)} - y_{3}{\\\\left(t \\\\right)} \\\\right)} - g m_{1} \\\\sin{\\\\left(y_{3}{\\\\left(t \\\\right)} \\\\right)} + g m_{2} \\\\sin{\\\\left(2 y_{1}{\\\\left(t \\\\right)} - y_{3}{\\\\left(t \\\\right)} \\\\right)} - g m_{2} \\\\sin{\\\\left(y_{3}{\\\\left(t \\\\right)} \\\\right)} + 2 l_{1} m_{1} y_{2}^{2}{\\\\left(t \\\\right)} \\\\sin{\\\\left(y_{1}{\\\\left(t \\\\right)} - y_{3}{\\\\left(t \\\\right)} \\\\right)} + 2 l_{1} m_{2} y_{2}^{2}{\\\\left(t \\\\right)} \\\\sin{\\\\left(y_{1}{\\\\left(t \\\\right)} - y_{3}{\\\\left(t \\\\right)} \\\\right)} + l_{2} m_{2} y_{4}^{2}{\\\\left(t \\\\right)} \\\\sin{\\\\left(2 y_{1}{\\\\left(t \\\\right)} - 2 y_{3}{\\\\left(t \\\\right)} \\\\right)}}{2 l_{2} \\\\left(m_{1} - m_{2} \\\\cos^{2}{\\\\left(y_{1}{\\\\left(t \\\\right)} - y_{3}{\\\\left(t \\\\right)} \\\\right)} + m_{2}\\\\right)}\\\\end{matrix}\\\\right]$\"\n      ],\n      \"text/plain\": [\n       \"              ⎡                                                                                                 y₂(t)                                                                                     \\n\",\n       \"⎡d        ⎤   ⎢                                                                                                                                                                                           \\n\",\n       \"⎢──(y₁(t))⎥   ⎢                                                                                                         2                                                                                 \\n\",\n       \"⎢dt       ⎥   ⎢                                                   g⋅m₂⋅sin(y₁(t) - 2⋅y₃(t))   g⋅m₂⋅sin(y₁(t))   l₁⋅m₂⋅y₂ (t)⋅sin(2⋅y₁(t) - 2⋅y₃(t))           2                                           \\n\",\n       \"⎢         ⎥   ⎢                                 g⋅m₁⋅sin(y₁(t)) + ───────────────────────── + ─────────────── + ─────────────────────────────────── + l₂⋅m₂⋅y₄ (t)⋅sin(y₁(t) - y₃(t))                     \\n\",\n       \"⎢d        ⎥   ⎢                                                               2                      2                           2                                                                        \\n\",\n       \"⎢──(y₂(t))⎥   ⎢                                 ─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────                     \\n\",\n       \"⎢dt       ⎥   ⎢                                                                                    ⎛            2                    ⎞                                                                    \\n\",\n       \"⎢         ⎥ = ⎢                                                                                 l₁⋅⎝-m₁ + m₂⋅cos (y₁(t) - y₃(t)) - m₂⎠                                                                    \\n\",\n       \"⎢d        ⎥   ⎢                                                                                                                                                                                           \\n\",\n       \"⎢──(y₃(t))⎥   ⎢                                                                                                 y₄(t)                                                                                     \\n\",\n       \"⎢dt       ⎥   ⎢                                                                                                                                                                                           \\n\",\n       \"⎢         ⎥   ⎢                                                                                                      2                                   2                                 2              \\n\",\n       \"⎢d        ⎥   ⎢g⋅m₁⋅sin(2⋅y₁(t) - y₃(t)) - g⋅m₁⋅sin(y₃(t)) + g⋅m₂⋅sin(2⋅y₁(t) - y₃(t)) - g⋅m₂⋅sin(y₃(t)) + 2⋅l₁⋅m₁⋅y₂ (t)⋅sin(y₁(t) - y₃(t)) + 2⋅l₁⋅m₂⋅y₂ (t)⋅sin(y₁(t) - y₃(t)) + l₂⋅m₂⋅y₄ (t)⋅sin(2⋅y₁(t\\n\",\n       \"⎢──(y₄(t))⎥   ⎢───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\\n\",\n       \"⎣dt       ⎦   ⎢                                                                                     ⎛           2                    ⎞                                                                    \\n\",\n       \"              ⎣                                                                                2⋅l₂⋅⎝m₁ - m₂⋅cos (y₁(t) - y₃(t)) + m₂⎠                                                                    \\n\",\n       \"\\n\",\n       \"            ⎤\\n\",\n       \"            ⎥\\n\",\n       \"            ⎥\\n\",\n       \"            ⎥\\n\",\n       \"            ⎥\\n\",\n       \"            ⎥\\n\",\n       \"            ⎥\\n\",\n       \"            ⎥\\n\",\n       \"            ⎥\\n\",\n       \"            ⎥\\n\",\n       \"            ⎥\\n\",\n       \"            ⎥\\n\",\n       \"            ⎥\\n\",\n       \") - 2⋅y₃(t))⎥\\n\",\n       \"────────────⎥\\n\",\n       \"            ⎥\\n\",\n       \"            ⎦\"\n      ]\n     },\n     \"execution_count\": 187,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sympy.Eq(y.diff(t), f)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 188,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"params = {m1: 5.0, l1: 2.0,\\n\",\n    \"          m2: 1.0, l2: 1.0, g: 10.0}\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 189,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"_f_np = sympy.lambdify((t, y), f.subs(params), 'numpy')\\n\",\n    \"f_np = lambda _t, _y, *args: _f_np(_t, _y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 190,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"jac = sympy.Matrix([[fj.diff(yi) for yi in y] for fj in f])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 191,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"_jac_np = sympy.lambdify((t, y), jac.subs(params), 'numpy')\\n\",\n    \"jac_np = lambda _t, _y, *args: _jac_np(_t, _y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 192,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y0 = [2.0, 0, 0.0, 0]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 193,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"tt = np.linspace(0, 20, 1000)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 194,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"CPU times: user 124 ms, sys: 15 ms, total: 139 ms\\n\",\n      \"Wall time: 132 ms\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%%time\\n\",\n    \"\\n\",\n    \"r = integrate.ode(f_np, jac_np).set_initial_value(y0, tt[0]);\\n\",\n    \" \\n\",\n    \"dt = tt[1] - tt[0]\\n\",\n    \"yy = np.zeros((len(tt), len(y0)))\\n\",\n    \"idx = 0\\n\",\n    \"while r.successful() and r.t < tt[-1]:\\n\",\n    \"    yy[idx, :] = r.y\\n\",\n    \"    r.integrate(r.t + dt)\\n\",\n    \"    idx += 1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 195,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1000x400 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 389,\n       \"width\": 990\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig = plt.figure(figsize=(10, 4))\\n\",\n    \"ax1 = plt.subplot2grid((2, 5), (0, 0), colspan=3)\\n\",\n    \"ax2 = plt.subplot2grid((2, 5), (1, 0), colspan=3)\\n\",\n    \"ax3 = plt.subplot2grid((2, 5), (0, 3), colspan=2, rowspan=2)\\n\",\n    \"\\n\",\n    \"ax1.plot(tt, yy[:, 0], 'r')\\n\",\n    \"ax1.set_ylabel(r'$\\\\theta_1$', fontsize=18)\\n\",\n    \"\\n\",\n    \"ax2.plot(tt, yy[:, 2], 'b')\\n\",\n    \"ax2.set_xlabel('$t$', fontsize=18)\\n\",\n    \"ax2.set_ylabel(r'$\\\\theta_2$', fontsize=18)\\n\",\n    \"\\n\",\n    \"ax3.plot(yy[:, 0], yy[:, 2], 'k')\\n\",\n    \"ax3.set_xlabel(r'$\\\\theta_1$', fontsize=18)\\n\",\n    \"ax3.set_ylabel(r'$\\\\theta_2$', fontsize=18)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 196,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"theta1_np, theta2_np = yy[:, 0], yy[:, 2]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 197,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x1 = params[l1] * np.sin(theta1_np)\\n\",\n    \"y1 = -params[l1] * np.cos(theta1_np)\\n\",\n    \"x2 = x1 + params[l2] * np.sin(theta2_np)\\n\",\n    \"y2 = y1 - params[l2] * np.cos(theta2_np)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 198,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1000x400 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 390,\n       \"width\": 991\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig = plt.figure(figsize=(10, 4))\\n\",\n    \"ax1 = plt.subplot2grid((2, 5), (0, 0), colspan=3)\\n\",\n    \"ax2 = plt.subplot2grid((2, 5), (1, 0), colspan=3)\\n\",\n    \"ax3 = plt.subplot2grid((2, 5), (0, 3), colspan=2, rowspan=2)\\n\",\n    \"\\n\",\n    \"ax1.plot(tt, x1, 'r')\\n\",\n    \"ax1.plot(tt, y1, 'b')\\n\",\n    \"ax1.set_ylabel('$x_1, y_1$', fontsize=18)\\n\",\n    \"ax1.set_yticks([-3, 0, 3])\\n\",\n    \"\\n\",\n    \"ax2.plot(tt, x2, 'r')\\n\",\n    \"ax2.plot(tt, y2, 'b')\\n\",\n    \"ax2.set_xlabel('$t$', fontsize=18)\\n\",\n    \"ax2.set_ylabel('$x_2, y_2$', fontsize=18)\\n\",\n    \"ax2.set_yticks([-3, 0, 3])\\n\",\n    \"\\n\",\n    \"ax3.plot(x1, y1, 'r', lw=2.0, label=\\\"trajectory of pendulum 1\\\")\\n\",\n    \"ax3.plot(x2, y2, 'b', lw=0.5, label=\\\"trajectory of pendulum 2\\\")\\n\",\n    \"ax3.set_xlabel('$x$', fontsize=18)\\n\",\n    \"ax3.set_ylabel('$y$', fontsize=18)\\n\",\n    \"ax3.set_xticks([-3, 0, 3])\\n\",\n    \"ax3.set_yticks([-3, 0, 3])\\n\",\n    \"ax3.legend()\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig('ch9-double-pendulum.pdf')\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Versions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 199,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%reload_ext version_information\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 200,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/json\": {\n       \"Software versions\": [\n        {\n         \"module\": \"Python\",\n         \"version\": \"3.10.12 64bit [Clang 14.0.6 ]\"\n        },\n        {\n         \"module\": \"IPython\",\n         \"version\": \"8.12.0\"\n        },\n        {\n         \"module\": \"OS\",\n         \"version\": \"macOS 10.15.7 x86_64 i386 64bit\"\n        },\n        {\n         \"module\": \"numpy\",\n         \"version\": \"1.22.3\"\n        },\n        {\n         \"module\": \"scipy\",\n         \"version\": \"1.7.3\"\n        },\n        {\n         \"module\": \"sympy\",\n         \"version\": \"1.11.1\"\n        },\n        {\n         \"module\": \"matplotlib\",\n         \"version\": \"3.7.1\"\n        }\n       ]\n      },\n      \"text/html\": [\n       \"<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.10.12 64bit [Clang 14.0.6 ]</td></tr><tr><td>IPython</td><td>8.12.0</td></tr><tr><td>OS</td><td>macOS 10.15.7 x86\\\\_64 i386 64bit</td></tr><tr><td>numpy</td><td>1.22.3</td></tr><tr><td>scipy</td><td>1.7.3</td></tr><tr><td>sympy</td><td>1.11.1</td></tr><tr><td>matplotlib</td><td>3.7.1</td></tr><tr><td colspan='2'>Sat Nov 02 19:31:21 2024 JST</td></tr></table>\"\n      ],\n      \"text/latex\": [\n       \"\\\\begin{tabular}{|l|l|}\\\\hline\\n\",\n       \"{\\\\bf Software} & {\\\\bf Version} \\\\\\\\ \\\\hline\\\\hline\\n\",\n       \"Python & 3.10.12 64bit [Clang 14.0.6 ] \\\\\\\\ \\\\hline\\n\",\n       \"IPython & 8.12.0 \\\\\\\\ \\\\hline\\n\",\n       \"OS & macOS 10.15.7 x86\\\\_64 i386 64bit \\\\\\\\ \\\\hline\\n\",\n       \"numpy & 1.22.3 \\\\\\\\ \\\\hline\\n\",\n       \"scipy & 1.7.3 \\\\\\\\ \\\\hline\\n\",\n       \"sympy & 1.11.1 \\\\\\\\ \\\\hline\\n\",\n       \"matplotlib & 3.7.1 \\\\\\\\ \\\\hline\\n\",\n       \"\\\\hline \\\\multicolumn{2}{|l|}{Sat Nov 02 19:31:21 2024 JST} \\\\\\\\ \\\\hline\\n\",\n       \"\\\\end{tabular}\\n\"\n      ],\n      \"text/plain\": [\n       \"Software versions\\n\",\n       \"Python 3.10.12 64bit [Clang 14.0.6 ]\\n\",\n       \"IPython 8.12.0\\n\",\n       \"OS macOS 10.15.7 x86_64 i386 64bit\\n\",\n       \"numpy 1.22.3\\n\",\n       \"scipy 1.7.3\\n\",\n       \"sympy 1.11.1\\n\",\n       \"matplotlib 3.7.1\\n\",\n       \"Sat Nov 02 19:31:21 2024 JST\"\n      ]\n     },\n     \"execution_count\": 200,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%version_information numpy, scipy, sympy, matplotlib\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"npbook_py310\",\n   \"language\": \"python\",\n   \"name\": \"npbook_py310\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "ch10-code-listing.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Chapter 10: Sparse matrices and graphs\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%matplotlib inline\\n\",\n    \"%config InlineBackend.figure_format='retina'\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import matplotlib.pyplot as plt\\n\",\n    \"import matplotlib as mpl\\n\",\n    \"# mpl.rcParams['text.usetex'] = True\\n\",\n    \"#mpl.rcParams['mathtext.fontset'] = 'stix'\\n\",\n    \"#mpl.rcParams['font.family'] = 'serif'\\n\",\n    \"#mpl.rcParams['font.sans-serif'] = 'stix'\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import scipy.sparse as sp\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import scipy.sparse.linalg\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import scipy.linalg as la\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import networkx as nx\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Coordinate list format\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"values = [1, 2, 3, 4]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"rows = [0, 1, 2, 3]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"cols = [1, 3, 2, 0]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"A = sp.coo_matrix((values, (rows, cols)), shape=[4, 4])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"matrix([[0, 1, 0, 0],\\n\",\n       \"        [0, 0, 0, 2],\\n\",\n       \"        [0, 0, 3, 0],\\n\",\n       \"        [4, 0, 0, 0]])\"\n      ]\n     },\n     \"execution_count\": 12,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A.todense()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<4x4 sparse matrix of type '<class 'numpy.int64'>'\\n\",\n       \"\\twith 4 stored elements in COOrdinate format>\"\n      ]\n     },\n     \"execution_count\": 13,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"((4, 4), 4, dtype('int64'), 2)\"\n      ]\n     },\n     \"execution_count\": 14,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A.shape, A.size, A.dtype, A.ndim\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(4, array([1, 2, 3, 4]))\"\n      ]\n     },\n     \"execution_count\": 15,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A.nnz, A.data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 1, 2, 3], dtype=int32)\"\n      ]\n     },\n     \"execution_count\": 16,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A.row\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1, 3, 2, 0], dtype=int32)\"\n      ]\n     },\n     \"execution_count\": 17,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A.col\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<4x4 sparse matrix of type '<class 'numpy.int64'>'\\n\",\n       \"\\twith 4 stored elements in Compressed Sparse Row format>\"\n      ]\n     },\n     \"execution_count\": 18,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A.tocsr()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0, 1, 0, 0],\\n\",\n       \"       [0, 0, 0, 2],\\n\",\n       \"       [0, 0, 3, 0],\\n\",\n       \"       [4, 0, 0, 0]])\"\n      ]\n     },\n     \"execution_count\": 19,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A.toarray()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"matrix([[0, 1, 0, 0],\\n\",\n       \"        [0, 0, 0, 2],\\n\",\n       \"        [0, 0, 3, 0],\\n\",\n       \"        [4, 0, 0, 0]])\"\n      ]\n     },\n     \"execution_count\": 20,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A.todense()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Not all sparse matrix formats supports indexing:\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"ename\": \"TypeError\",\n     \"evalue\": \"'coo_matrix' object is not subscriptable\",\n     \"output_type\": \"error\",\n     \"traceback\": [\n      \"\\u001b[0;31m---------------------------------------------------------------------------\\u001b[0m\",\n      \"\\u001b[0;31mTypeError\\u001b[0m                                 Traceback (most recent call last)\",\n      \"Cell \\u001b[0;32mIn[21], line 1\\u001b[0m\\n\\u001b[0;32m----> 1\\u001b[0m \\u001b[43mA\\u001b[49m\\u001b[43m[\\u001b[49m\\u001b[38;5;241;43m1\\u001b[39;49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m2\\u001b[39;49m\\u001b[43m]\\u001b[49m\\n\",\n      \"\\u001b[0;31mTypeError\\u001b[0m: 'coo_matrix' object is not subscriptable\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"A[1, 2]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"ename\": \"NotImplementedError\",\n     \"evalue\": \"\",\n     \"output_type\": \"error\",\n     \"traceback\": [\n      \"\\u001b[0;31m---------------------------------------------------------------------------\\u001b[0m\",\n      \"\\u001b[0;31mNotImplementedError\\u001b[0m                       Traceback (most recent call last)\",\n      \"Cell \\u001b[0;32mIn[22], line 1\\u001b[0m\\n\\u001b[0;32m----> 1\\u001b[0m \\u001b[43mA\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43mtobsr\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43m)\\u001b[49m\\u001b[43m[\\u001b[49m\\u001b[38;5;241;43m1\\u001b[39;49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m2\\u001b[39;49m\\u001b[43m]\\u001b[49m\\n\",\n      \"File \\u001b[0;32m~/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/scipy/sparse/bsr.py:329\\u001b[0m, in \\u001b[0;36mbsr_matrix.__getitem__\\u001b[0;34m(self, key)\\u001b[0m\\n\\u001b[1;32m    328\\u001b[0m \\u001b[38;5;28;01mdef\\u001b[39;00m \\u001b[38;5;21m__getitem__\\u001b[39m(\\u001b[38;5;28mself\\u001b[39m,key):\\n\\u001b[0;32m--> 329\\u001b[0m     \\u001b[38;5;28;01mraise\\u001b[39;00m \\u001b[38;5;167;01mNotImplementedError\\u001b[39;00m\\n\",\n      \"\\u001b[0;31mNotImplementedError\\u001b[0m: \"\n     ]\n    }\n   ],\n   \"source\": [\n    \"A.tobsr()[1, 2]\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"But some do:\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0\"\n      ]\n     },\n     \"execution_count\": 23,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A.tocsr()[1, 2]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<2x1 sparse matrix of type '<class 'numpy.int64'>'\\n\",\n       \"\\twith 1 stored elements in List of Lists format>\"\n      ]\n     },\n     \"execution_count\": 24,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A.tolil()[1:3, 3]\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## CSR\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[1, 2, 0, 0],\\n\",\n       \"       [0, 3, 4, 0],\\n\",\n       \"       [0, 0, 5, 6],\\n\",\n       \"       [7, 0, 8, 9]])\"\n      ]\n     },\n     \"execution_count\": 25,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A = np.array([[1, 2, 0, 0], [0, 3, 4, 0], [0, 0, 5, 6], [7, 0, 8, 9]]); A\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"A = sp.csr_matrix(A)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1, 2, 3, 4, 5, 6, 7, 8, 9])\"\n      ]\n     },\n     \"execution_count\": 27,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A.data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 1, 1, 2, 2, 3, 0, 2, 3], dtype=int32)\"\n      ]\n     },\n     \"execution_count\": 28,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A.indices\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 2, 4, 6, 9], dtype=int32)\"\n      ]\n     },\n     \"execution_count\": 29,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A.indptr\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"i = 2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(4, 5)\"\n      ]\n     },\n     \"execution_count\": 31,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A.indptr[i], A.indptr[i+1]-1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 32,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([2, 3], dtype=int32)\"\n      ]\n     },\n     \"execution_count\": 32,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A.indices[A.indptr[i]:A.indptr[i+1]]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 33,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([5, 6])\"\n      ]\n     },\n     \"execution_count\": 33,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A.data[A.indptr[i]:A.indptr[i+1]]\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Functions for constructing sparse matrices\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 34,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"N = 10\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 35,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"A = -2 * sp.eye(N) + sp.eye(N, k=1) + sp.eye(N, k=-1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 36,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<10x10 sparse matrix of type '<class 'numpy.float64'>'\\n\",\n       \"\\twith 28 stored elements (3 diagonals) in DIAgonal format>\"\n      ]\n     },\n     \"execution_count\": 36,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 37,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"matrix([[-2.,  1.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.],\\n\",\n       \"        [ 1., -2.,  1.,  0.,  0.,  0.,  0.,  0.,  0.,  0.],\\n\",\n       \"        [ 0.,  1., -2.,  1.,  0.,  0.,  0.,  0.,  0.,  0.],\\n\",\n       \"        [ 0.,  0.,  1., -2.,  1.,  0.,  0.,  0.,  0.,  0.],\\n\",\n       \"        [ 0.,  0.,  0.,  1., -2.,  1.,  0.,  0.,  0.,  0.],\\n\",\n       \"        [ 0.,  0.,  0.,  0.,  1., -2.,  1.,  0.,  0.,  0.],\\n\",\n       \"        [ 0.,  0.,  0.,  0.,  0.,  1., -2.,  1.,  0.,  0.],\\n\",\n       \"        [ 0.,  0.,  0.,  0.,  0.,  0.,  1., -2.,  1.,  0.],\\n\",\n       \"        [ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  1., -2.,  1.],\\n\",\n       \"        [ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  1., -2.]])\"\n      ]\n     },\n     \"execution_count\": 37,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A.todense()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 38,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 470,\n       \"width\": 459\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots()\\n\",\n    \"ax.spy(A)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch10-sparse-matrix-1.pdf\\\");\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 39,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"A = sp.diags([1,-2,1], [1,0,-1], shape=[N, N], format='csc')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 40,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<10x10 sparse matrix of type '<class 'numpy.float64'>'\\n\",\n       \"\\twith 28 stored elements in Compressed Sparse Column format>\"\n      ]\n     },\n     \"execution_count\": 40,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 41,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 418,\n       \"width\": 408\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots()\\n\",\n    \"ax.spy(A);\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 42,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"B = sp.diags([1, 1], [-1, 1], shape=[3,3])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 43,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<3x3 sparse matrix of type '<class 'numpy.float64'>'\\n\",\n       \"\\twith 4 stored elements (2 diagonals) in DIAgonal format>\"\n      ]\n     },\n     \"execution_count\": 43,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"B\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 44,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<30x30 sparse matrix of type '<class 'numpy.float64'>'\\n\",\n       \"\\twith 112 stored elements in Compressed Sparse Row format>\"\n      ]\n     },\n     \"execution_count\": 44,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"C = sp.kron(A, B, format='csr')\\n\",\n    \"C\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 45,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 404,\n       \"width\": 1189\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, (ax_A, ax_B, ax_C) = plt.subplots(1, 3, figsize=(12, 4))\\n\",\n    \"ax_A.spy(A)\\n\",\n    \"ax_B.spy(B)\\n\",\n    \"ax_C.spy(C)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch10-sparse-matrix-2.pdf\\\");\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Sparse linear algebra\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 46,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"N = 10\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 47,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"A = sp.diags([1, -2, 1], [1, 0, -1], shape=[N, N], format='csc')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 48,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"b = -np.ones(N)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 49,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = sp.linalg.spsolve(A, b)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 50,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 5.,  9., 12., 14., 15., 15., 14., 12.,  9.,  5.])\"\n      ]\n     },\n     \"execution_count\": 50,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 51,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 5.,  9., 12., 14., 15., 15., 14., 12.,  9.,  5.])\"\n      ]\n     },\n     \"execution_count\": 51,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.linalg.solve(A.todense(), b)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 52,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"lu = sp.linalg.splu(A)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 53,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<10x10 sparse matrix of type '<class 'numpy.float64'>'\\n\",\n       \"\\twith 20 stored elements in Compressed Sparse Column format>\"\n      ]\n     },\n     \"execution_count\": 53,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"lu.L\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 54,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 1, 2, 3, 4, 5, 6, 8, 7, 9], dtype=int32)\"\n      ]\n     },\n     \"execution_count\": 54,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"lu.perm_r\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 55,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<10x10 sparse matrix of type '<class 'numpy.float64'>'\\n\",\n       \"\\twith 20 stored elements in Compressed Sparse Column format>\"\n      ]\n     },\n     \"execution_count\": 55,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"lu.U\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 56,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def sp_permute(A, perm_r, perm_c):\\n\",\n    \"    \\\"\\\"\\\" permute rows and columns of A \\\"\\\"\\\"\\n\",\n    \"    M, N = A.shape\\n\",\n    \"    # row permumation matrix\\n\",\n    \"    Pr = sp.coo_matrix((np.ones(M), (perm_r, np.arange(N)))).tocsr()\\n\",\n    \"    # column permutation matrix\\n\",\n    \"    Pc = sp.coo_matrix((np.ones(M), (np.arange(M), perm_c))).tocsr()\\n\",\n    \"    return Pr.T * A * Pc.T\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 57,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<10x10 sparse matrix of type '<class 'numpy.float64'>'\\n\",\n       \"\\twith 8 stored elements in Compressed Sparse Column format>\"\n      ]\n     },\n     \"execution_count\": 57,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"lu.L * lu.U - A  \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 58,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<10x10 sparse matrix of type '<class 'numpy.float64'>'\\n\",\n       \"\\twith 0 stored elements in Compressed Sparse Column format>\"\n      ]\n     },\n     \"execution_count\": 58,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sp_permute(lu.L * lu.U, lu.perm_r, lu.perm_c) - A\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 59,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<matplotlib.lines.Line2D at 0x7f8ae07c9180>\"\n      ]\n     },\n     \"execution_count\": 59,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 322,\n       \"width\": 968\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(12, 4))\\n\",\n    \"ax1.spy(lu.L)\\n\",\n    \"ax2.spy(lu.U)\\n\",\n    \"ax3.spy(A)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 60,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = lu.solve(b)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 61,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 5.,  9., 12., 14., 15., 15., 14., 12.,  9.,  5.])\"\n      ]\n     },\n     \"execution_count\": 61,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 62,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# use_umfpack=True is only effective if scikit-umfpack is installed\\n\",\n    \"# (in which case UMFPACK is the default solver)\\n\",\n    \"x = sp.linalg.spsolve(A, b, use_umfpack=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 63,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 5.,  9., 12., 14., 15., 15., 14., 12.,  9.,  5.])\"\n      ]\n     },\n     \"execution_count\": 63,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 64,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x, info = sp.linalg.cg(A, b)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 65,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 5.,  9., 12., 14., 15., 15., 14., 12.,  9.,  5.])\"\n      ]\n     },\n     \"execution_count\": 65,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 66,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x, info = sp.linalg.bicgstab(A, b)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 67,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 5.,  9., 12., 14., 15., 15., 14., 12.,  9.,  5.])\"\n      ]\n     },\n     \"execution_count\": 67,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 68,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# atol argument is a recent addition\\n\",\n    \"x, info = sp.linalg.lgmres(A, b, atol=1e-5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 69,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 5.,  9., 12., 14., 15., 15., 14., 12.,  9.,  5.])\"\n      ]\n     },\n     \"execution_count\": 69,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 70,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"N = 25\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### An example of a matrix reording method: Reverse Cuthil McKee\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 71,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"A = sp.diags([1, -2, 1], [8, 0, -8], shape=[N, N], format='csc')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 72,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 7, 15, 23,  1,  9, 17,  2, 10, 18,  3, 11, 19,  4, 12, 20,  5, 13,\\n\",\n       \"       21,  6, 14, 22, 24, 16,  8,  0], dtype=int32)\"\n      ]\n     },\n     \"execution_count\": 72,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"perm = sp.csgraph.reverse_cuthill_mckee(A)\\n\",\n    \"perm\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 73,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<matplotlib.lines.Line2D at 0x7f8ae1dab9a0>\"\n      ]\n     },\n     \"execution_count\": 73,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 330,\n       \"width\": 667\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(8, 4))\\n\",\n    \"ax1.spy(A)\\n\",\n    \"ax2.spy(sp_permute(A, perm, perm))\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Performance comparison sparse/dense\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 74,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 388,\n       \"width\": 788\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"# compare performance of solving Ax=b vs system size N,\\n\",\n    \"# where A is the sparse matrix for the 1d poisson problem\\n\",\n    \"import time\\n\",\n    \"\\n\",\n    \"def setup(N):\\n\",\n    \"    A = sp.diags([1,-2,1], [1,0,-1], shape=[N, N], format='csr')\\n\",\n    \"    b = -np.ones(N)\\n\",\n    \"    return A, A.todense(), b\\n\",\n    \"\\n\",\n    \"reps = 100\\n\",\n    \"N_vec = np.arange(2, 300, 1)\\n\",\n    \"t_sparse = np.empty(len(N_vec))\\n\",\n    \"t_dense = np.empty(len(N_vec))\\n\",\n    \"for idx, N in enumerate(N_vec):\\n\",\n    \"    A, A_dense, b = setup(N)\\n\",\n    \"    t = time.time()\\n\",\n    \"    for r in range(reps):\\n\",\n    \"        x = np.linalg.solve(A_dense, b)\\n\",\n    \"    t_dense[idx] = (time.time() - t)/reps\\n\",\n    \"    t = time.time()\\n\",\n    \"    for r in range(reps):\\n\",\n    \"        x = sp.linalg.spsolve(A, b, use_umfpack=True)\\n\",\n    \"    t_sparse[idx] = (time.time() - t)/reps\\n\",\n    \"    \\n\",\n    \"fig, ax = plt.subplots(figsize=(8, 4))\\n\",\n    \"ax.plot(N_vec, t_dense * 1e3, '.-', label=\\\"dense\\\")\\n\",\n    \"ax.plot(N_vec, t_sparse * 1e3, '.-', label=\\\"sparse\\\")\\n\",\n    \"ax.set_xlabel(r\\\"$N$\\\", fontsize=16)\\n\",\n    \"ax.set_ylabel(\\\"elapsed time (ms)\\\", fontsize=16)\\n\",\n    \"ax.legend(loc=0)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch10-sparse-vs-dense.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Eigenvalue problems\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 75,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"N = 10\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 76,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"A = sp.diags([1, -2, 1], [1, 0, -1], shape=[N, N], format='csc')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 77,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"evals, evecs = sp.linalg.eigs(A, k=4, which='LM')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 78,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([-3.91898595+0.j, -3.68250707+0.j, -3.30972147+0.j, -2.83083003+0.j])\"\n      ]\n     },\n     \"execution_count\": 78,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"evals\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 79,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"True\"\n      ]\n     },\n     \"execution_count\": 79,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.allclose(A.dot(evecs[:,0]), evals[0] * evecs[:,0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 80,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"evals, evecs = sp.linalg.eigsh(A, k=4, which='LM')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 81,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([-3.91898595, -3.68250707, -3.30972147, -2.83083003])\"\n      ]\n     },\n     \"execution_count\": 81,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"evals\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 82,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"evals, evecs = sp.linalg.eigs(A, k=4, which='SR')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 83,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([-3.91898595+0.j, -3.68250707+0.j, -3.30972147+0.j, -2.83083003+0.j])\"\n      ]\n     },\n     \"execution_count\": 83,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"evals\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 84,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 1, 2, 3])\"\n      ]\n     },\n     \"execution_count\": 84,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.real(evals).argsort()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 85,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def sp_eigs_sorted(A, k=6, which='SR'):\\n\",\n    \"    \\\"\\\"\\\" compute and return eigenvalues sorted by real value \\\"\\\"\\\"\\n\",\n    \"    evals, evecs = sp.linalg.eigs(A, k=k, which=which)\\n\",\n    \"    idx = np.real(evals).argsort()\\n\",\n    \"    return evals[idx], evecs[idx]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 86,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"evals, evecs = sp_eigs_sorted(A, k=4, which='SM')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 87,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([-1.16916997+0.j, -0.69027853+0.j, -0.31749293+0.j, -0.08101405+0.j])\"\n      ]\n     },\n     \"execution_count\": 87,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"evals\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"#### Random matrix example\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 88,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"N = 100\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 89,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x_vec = np.linspace(0, 1, 50)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 90,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# seed sp.rand with random_state to obtain a reproducible result\\n\",\n    \"M1 = sp.rand(N, N, density=0.2, random_state=112312321)\\n\",\n    \"# M1 = M1 + M1.conj().T\\n\",\n    \"M2 = sp.rand(N, N, density=0.2, random_state=984592134)\\n\",\n    \"# M2 = M2 + M2.conj().T\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 91,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"evals = np.array([sp_eigs_sorted((1-x)*M1 + x*M2, k=25)[0] for x in x_vec])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 92,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 388,\n       \"width\": 786\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"for idx in range(evals.shape[1]):\\n\",\n    \"    ax.plot(x_vec, np.real(evals[:,idx]), lw=0.5)\\n\",\n    \"\\n\",\n    \"ax.set_xlabel(r\\\"$x$\\\", fontsize=16)\\n\",\n    \"ax.set_ylabel(r\\\"eig.vals. of $(1-x)M_1+xM_2$\\\", fontsize=16)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch10-sparse-eigs.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Graphs\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 93,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"g = nx.Graph()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 94,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"g.add_node(1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 95,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"NodeView((1,))\"\n      ]\n     },\n     \"execution_count\": 95,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"g.nodes()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 96,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"g.add_nodes_from([3, 4, 5])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 97,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"NodeView((1, 3, 4, 5))\"\n      ]\n     },\n     \"execution_count\": 97,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"g.nodes()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 98,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"g.add_edge(1, 2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 99,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"EdgeView([(1, 2)])\"\n      ]\n     },\n     \"execution_count\": 99,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"g.edges()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 100,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"g.add_edges_from([(3, 4), (5, 6)])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 101,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"EdgeView([(1, 2), (3, 4), (5, 6)])\"\n      ]\n     },\n     \"execution_count\": 101,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"g.edges()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 102,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"g.add_weighted_edges_from([(1, 3, 1.5), (3, 5, 2.5)])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 103,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"EdgeView([(1, 2), (1, 3), (3, 4), (3, 5), (5, 6)])\"\n      ]\n     },\n     \"execution_count\": 103,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"g.edges()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 104,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"EdgeDataView([(1, 2, {}), (1, 3, {'weight': 1.5}), (3, 4, {}), (3, 5, {'weight': 2.5}), (5, 6, {})])\"\n      ]\n     },\n     \"execution_count\": 104,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"g.edges(data=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 105,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"g.add_weighted_edges_from([(6, 7, 1.5)])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 106,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"NodeView((1, 3, 4, 5, 2, 6, 7))\"\n      ]\n     },\n     \"execution_count\": 106,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"g.nodes()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 107,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"EdgeView([(1, 2), (1, 3), (3, 4), (3, 5), (5, 6), (6, 7)])\"\n      ]\n     },\n     \"execution_count\": 107,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"g.edges()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 108,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 109,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import json\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 110,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"with open(\\\"tokyo-metro.json\\\") as f:\\n\",\n    \"    data = json.load(f)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 111,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"dict_keys(['C', 'G', 'F', 'H', 'M', 'N', 'T', 'Y', 'Z'])\"\n      ]\n     },\n     \"execution_count\": 111,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.keys()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 112,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"{'color': '#149848',\\n\",\n       \" 'transfers': [['C3', 'F15'],\\n\",\n       \"  ['C4', 'Z2'],\\n\",\n       \"  ['C4', 'G2'],\\n\",\n       \"  ['C7', 'M14'],\\n\",\n       \"  ['C7', 'N6'],\\n\",\n       \"  ['C7', 'G6'],\\n\",\n       \"  ['C8', 'M15'],\\n\",\n       \"  ['C8', 'H6'],\\n\",\n       \"  ['C9', 'H7'],\\n\",\n       \"  ['C9', 'Y18'],\\n\",\n       \"  ['C11', 'T9'],\\n\",\n       \"  ['C11', 'M18'],\\n\",\n       \"  ['C11', 'Z8'],\\n\",\n       \"  ['C12', 'M19'],\\n\",\n       \"  ['C18', 'H21']],\\n\",\n       \" 'travel_times': [['C1', 'C2', 2],\\n\",\n       \"  ['C2', 'C3', 2],\\n\",\n       \"  ['C3', 'C4', 1],\\n\",\n       \"  ['C4', 'C5', 2],\\n\",\n       \"  ['C5', 'C6', 2],\\n\",\n       \"  ['C6', 'C7', 2],\\n\",\n       \"  ['C7', 'C8', 1],\\n\",\n       \"  ['C8', 'C9', 3],\\n\",\n       \"  ['C9', 'C10', 1],\\n\",\n       \"  ['C10', 'C11', 2],\\n\",\n       \"  ['C11', 'C12', 2],\\n\",\n       \"  ['C12', 'C13', 2],\\n\",\n       \"  ['C13', 'C14', 2],\\n\",\n       \"  ['C14', 'C15', 2],\\n\",\n       \"  ['C15', 'C16', 2],\\n\",\n       \"  ['C16', 'C17', 3],\\n\",\n       \"  ['C17', 'C18', 3],\\n\",\n       \"  ['C18', 'C19', 3]]}\"\n      ]\n     },\n     \"execution_count\": 112,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data[\\\"C\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 113,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    },\n    \"scrolled\": true\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 114,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"g = nx.Graph()\\n\",\n    \"\\n\",\n    \"for line in data.values():\\n\",\n    \"    g.add_weighted_edges_from(line[\\\"travel_times\\\"])\\n\",\n    \"    g.add_edges_from(line[\\\"transfers\\\"])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 115,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"for n1, n2 in g.edges():\\n\",\n    \"    g[n1][n2][\\\"transfer\\\"] = \\\"weight\\\" not in g[n1][n2]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 116,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"184\"\n      ]\n     },\n     \"execution_count\": 116,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"g.number_of_nodes()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 117,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['C1', 'C2', 'C3', 'C4', 'C5']\"\n      ]\n     },\n     \"execution_count\": 117,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"list(g.nodes())[:5]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 118,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"243\"\n      ]\n     },\n     \"execution_count\": 118,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"g.number_of_edges()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 119,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[('C1', 'C2'), ('C2', 'C3'), ('C3', 'C4'), ('C3', 'F15'), ('C4', 'C5')]\"\n      ]\n     },\n     \"execution_count\": 119,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"list(g.edges())[:5]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 120,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"on_foot = [edge for edge in g.edges() if g.get_edge_data(*edge)[\\\"transfer\\\"]]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 121,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"on_train = [edge for edge in g.edges() if not g.get_edge_data(*edge)[\\\"transfer\\\"]]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 122,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"colors = [data[n[0].upper()][\\\"color\\\"] for n in g.nodes()]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 123,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"# from networkx.drawing.nx_agraph import graphviz_layout\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 124,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAACtsAAAe7CAYAAADLf40QAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAB7CAAAewgFu0HU+AAEAAElEQVR4nOzdZ5ycd3ku/mtme9GuumRZxVUucsUYSABjIIRAEkpIAB9CzIETyCEnCR2ScOAPaYSSAuGQSgglEEoooSZ0MKa694rc1KXtbXbm+b8AnCj22tLu7D7a1ff7+cwLzzNz39cj8erh0m8qRVEUAQAAAAAAAAAAAADuo1p2AAAAAAAAAAAAAAA4UinbAgAAAAAAAAAAAMAMlG0BAAAAAAAAAAAAYAbKtgAAAAAAAAAAAAAwA2VbAAAAAAAAAAAAAJiBsi0AAAAAAAAAAAAAzEDZFgAAAAAAAAAAAABmoGwLAAAAAAAAAAAAADNQtgUAAAAAAAAAAACAGSjbAgAAAAAAAAAAAMAMlG0BAAAAAAAAAAAAYAbKtgAAAAAAAAAAAAAwA2VbAAAAAAAAAAAAAJiBsi0AAAAAAAAAAAAAzEDZFgAAAAAAAAAAAABmoGwLAAAAAAAAAAAAADNQtgUAAAAAAAAAAACAGSjbAgAAAAAAAAAAAMAMlG0BAAAAAAAAAAAAYAbKtgAAAAAAAAAAAAAwA2VbAAAAAAAAAAAAAJiBsi0AAAAAAAAAAAAAzEDZFgAAAAAAAAAAAABmoGwLAAAAAAAAAAAAADNQtgUAAAAAAAAAAACAGSjbAgAAAAAAAAAAAMAMlG0BAAAAAAAAAAAAYAbKtgAAAAAAAAAAAAAwA2VbAAAAAAAAAAAAAJiBsi0AAAAAAAAAAAAAzEDZFgAAAAAAAAAAAABmoGwLAAAAAAAAAAAAADNQtgUAAAAAAAAAAACAGSjbAgAAAAAAAAAAAMAMlG0BAAAAAAAAAAAAYAbKtgAAAAAAAAAAAAAwA2VbAAAAAAAAAAAAAJiBsi0AAAAAAAAAAAAAzEDZFgAAAAAAAAAAAABmoGwLAAAAAAAAAAAAADNQtgUAAAAAAAAAAACAGSjbAgAAAAAAAAAAAMAMlG0BAAAAAAAAAAAAYAbKtgAAAAAAAAAAAAAwA2VbAAAAAAAAAAAAAJiBsi0AAAAAAAAAAAAAzEDZFgAAAAAAAAAAAABmoGwLAAAAAAAAAAAAADNQtgUAAAAAAAAAAACAGSjbAgAAAAAAAAAAAMAMlG0BAAAAAAAAAAAAYAbKtgAAAAAAAAAAAAAwA2VbAAAAAAAAAAAAAJiBsi0AAAAAAAAAAAAAzEDZFgAAAAAAAAAAAABmoGwLAAAAAAAAAAAAADNQtgUAAAAAAAAAAACAGSjbAgAAAAAAAAAAAMAMlG0BAAAAAAAAAAAAYAbKtgAAAAAAAAAAAAAwA2VbAAAAAAAAAAAAAJiBsi0AAAAAAAAAAAAAzEDZFgAAAAAAAAAAAABmoGwLAAAAAAAAAAAAADNQtgUAAAAAAAAAAACAGSjbAgAAAAAAAAAAAMAMlG0BAAAAAAAAAAAAYAbKtgAAAAAAAAAAAAAwA2VbAAAAAAAAAAAAAJiBsi0AAAAAAAAAAAAAzEDZFgAAAAAAAAAAAABmoGwLAAAAAAAAAAAAADNQtgUAAAAAAAAAAACAGSjbAgAAAAAAAAAAAMAMlG0BAAAAAAAAAAAAYAbKtgAAAAAAAAAAAAAwA2VbAAAAAAAAAAAAAJiBsi0AAAAAAAAAAAAAzEDZFgAAAAAAAAAAAABmoGwLAAAAAAAAAAAAADNQtgUAAAAAAAAAAACAGSjbAgAAAAAAAAAAAMAMlG0BAAAAAAAAAAAAYAbKtgAAAAAAAAAAAAAwA2VbAAAAAAAAAAAAAJiBsi0AAAAAAAAAAAAAzEDZFgAAAAAAAAAAAABmoGwLAAAAAAAAAAAAADNQtgUAAAAAAAAAAACAGSjbAgAAAAAAAAAAAMAMlG0BAAAAAAAAAAAAYAbKtgAAAAAAAAAAAAAwA2VbAAAAAAAAAAAAAJiBsi0AAAAAAAAAAAAAzEDZFgAAAAAAAAAAAABmoGwLAAAAAAAAAAAAADNQtgUAAAAAAAAAAACAGSjbAgAAAAAAAAAAAMAMlG0BAAAAAAAAAAAAYAbKtgAAAAAAAAAAAAAwA2VbAAAAAAAAAAAAAJiBsi0AAAAAAAAAAAAAzEDZFgAAAAAAAAAAAABmoGwLAAAAAAAAAAAAADNQtgUAAAAAAAAAAACAGSjbAgAAAAAAAAAAAMAMlG0BAAAAAAAAAAAAYAbKtgAAAAAAAAAAAAAwA2VbAAAAAAAAAAAAAJiBsi0AAAAAAAAAAAAAzEDZFgAAAAAAAAAAAABmoGwLAAAAAAAAAAAAADNQtgUAAAAAAAAAAACAGSjbAgAAAAAAAAAAAMAMlG0BAAAAAAAAAAAAYAbKtgAAAAAAAAAAAAAwA2VbAAAAAAAAAAAAAJiBsi0AAAAAAAAAAAAAzEDZFgAAAAAAAAAAAABmoGwLAAAAAAAAAAAAADNQtgUAAAAAAAAAAACAGSjbAgAAAAAAAAAAAMAMlG0BAAAAAAAAAAAAYAbKtgAAAAAAAAAAAAAwA2VbAAAAAAAAAAAAAJiBsi0AAAAAAAAAAAAAzEDZFgAAAAAAAAAAAABmoGwLAAAAAAAAAAAAADNQtgUAAAAAAAAAAACAGSjbAgAAAAAAAAAAAMAMlG0BAAAAAAAAAAAAYAbKtgAAAAAAAAAAAAAwA2VbAAAAAAAAAAAAAJiBsi0AAAAAAAAAAAAAzEDZFgAAAAAAAAAAAABmoGwLAAAAAAAAAAAAADNQtgUAAAAAAAAAAACAGSjbAgAAAAAAAAAAAMAMlG0BAAAAAAAAAAAAYAbKtgAAAAAAAAAAAAAwA2VbAAAAAAAAAAAAAJiBsi0AAAAAAAAAAAAAzEDZFgAAAAAAAAAAAABmoGwLAAAAAAAAAAAAADNQtgUAAAAAAAAAAACAGSjbAgAAAAAAAAAAAMAMlG0BAAAAAAAAAAAAYAbKtgAAAAAAAAAAAAAwA2VbAAAAAAAAAAAAAJiBsi0AAAAAAAAAAAAAzEDZFgAAAAAAAAAAAABmoGwLAAAAAAAAAAAAADNQtgUAAAAAAAAAAACAGSjbAgAAAAAAAAAAAMAMlG0BAAAAAAAAAAAAYAbKtgAAAAAAAAAAAAAwA2VbAAAAAAAAAAAAAJiBsi0AAAAAAAAAAAAAzEDZFgAAAAAAAAAAAABmoGwLAAAAAAAAAAAAADNoLTsAAAAAALD0FY1G6rWJNGqTKRr1VFvb09LWmWpbe9nRAAAAAADgASnbAgAAAABNVTQaGd15a4a2X5uh7ddlaPs1GbrzhjSmxu/z2Y4V69O/ZVv6tmzLss3b0n/cGWlftrKE1AAAAAAAcP8qRVEUZYcAAAAAABa/yaF9ufuSj+Wur/9LJvbdM+s5q7Y9OpsuvChrzrwglWpLExMCAAAAAMDhU7YFAAAAAOZk4LYrcseXP5BdP/hCinqtaXM7V23IxguelY2P/pW0965o2lwAAAAAADgcyrYAAAAAwKzUxoZy44fflHu+9fF53dPWszyn/Y//m3UPfVIqlcq87gIAAAAAgP9O2RYAAAAAOGx7rv56rnvf6zI5sGvBdq499wk57TmvT0ffqgXbCQAAAAAAyrYAAAAAwCGr1yZzwz+/MXdf8q+l7G/rWZ5tF/9h1p7z+FL2AwAAAABw9FG2BQAAAAAOyfTEaC5/52/mwI3fKTdIpZrTn/uGbHzUL5ebAwAAAACAo4KyLQAAAADwoKYnRvODP39+Bm+/quwo9zr1otdm82OfU3YMAAAAAACWuGrZAQAAAACAI1t9aiKX/9WLj6iibZLc8ME/zD2XfqLsGAAAAAAALHHKtgAAAADAA7r+A2/IgZu+W3aM+3XtP702B265rOwYAAAAAAAsYcq2AAAAABxViqJIfXoi07XRTE8N/+hVG019eiJFUZQd74iz+8qvHNGnxxaNeq59z++lPjVRdhQAAAAAAJaoSuH/QQAAAABgCftRsXYo07WR1GsjmZ4eSYrG/X62UmlJS2tPWtt609K2LK3ty9LS0rnAiY8ctdGBXPL6X8zU0N6yozyoLU94Xk75lVeXHQMAAAAAgCWotewAAAAAANBsRVGkNrkvE2M7Mj01eBjfq/+4mDt073tt7SvS0X1M2jpWpFKpzEfcI9YN//Ini6JomyTbv/hPWXvuE7LipIeUHQUAAAAAgCXGybYAAAAALBmNxnQmx+7JxNjOFI2pps6uVjvS0b0+nd0bUqm2NHX2kWj/jd/N9992cdkxDkvPhpPy06//1FFXigYAAAAAYH5Vyw4AAAAAAM0wNbE/g3svy/jIHU0v2iZJozGZ8ZHtGdx3WWqTA02ff6S548vvLzvCYRu955bsv/E7ZccAAAAAAGCJUbYFAAAAYFFrNKYzMnBTRgaum5eS7X321SczfOCajA7ekqJRn/d9ZZg4sDN7rvxy2TFm5c6vfrDsCAAAAAAALDHKtgAAAAAsWrWpoQzuvSxTE7sXfPfk+M4M7rss07WRBd893+76xkcWbZF4zxVfysSBXWXHAAAAAABgCVG2BQAAAGBRmprcn+H91yzIabYzadQnM7T/6tSmBkvL0GyN6Vru/sZHyo4xa0WjnrsWcX4AAAAAAI48yrYAAAAALDpTE/szcuD6JI2yoyRFPcP7r01tcqDsJE0xfOf1mRzcU3aMOdl79dfKjgAAAAAAwBLSWnYAAAAAADgctcmBjAzckKQoO8p/0cjwwPXpW3FGWtuXlR1mToa2XzvnGf9+00De9rWd93vtGWeuzAsfsTbf3j6Sr982lFv3TebOgcnUi+QLv37qnHcnyfDdN6YxPZVqa3tT5gEAAAAAcHRTtgUAAABg0WjUJzMycIScaPvfFfUMD1yX/tUPSbXaVnaaWRvafk3TZr38Meuzqb/joPdW9fzokeS3fjicG3aP58TVnWlrqeTmvRNN21tM1zJy983p27KtaTMBAAAAADh6KdsCAAAAsCgURZHRoVtSFPWyo8yoaNQyNnRbepefUnaUWRvafl3TZh23oiNb13Td77WXXLA+1UolSfJXl+xsatk2SYbuuFbZFgAAAACApqiWHQAAAAAADsXUxO7UJg+UHeNBTU3sydTE3rJjzEqjNpWRe25ZkF0/KdrOl6E7mlcaBgAAAADg6KZsCwAAAMARr1GfzNjQbWXHOGSjQ7em0aiVHeOw1cYGUzSmmzavUST1RnHQa6FMDe1fsF0AAAAAACxtrWUHAAAAAIAHMza8PUVRLzvGISsatYyP3JGevhPLjnJYGrWpps77nU9uv897n33BKWmpzu+ptknSqE3M+w4AAAAAAI4OyrYAAAAAHNEajVqmJvaUHeOwTY7vTnfvllSqi+cRXKPe3NN4X3nhMdm8vP2g9xaiaJskjXrzTugFAAAAAODotnie9AMAAABwVJoc25WkKDvG4SvqmZzYk87uY8pOcsj27Gtu2Xbz8vZsXdPV1JmHqtrWUcpeAAAAAACWHmVbAAAAAI5YRVFkcnxH2TFmbXJsRzq61qdSWZjTXB/IxMR0Lr98V664Yl+uu24kt9wylbvuqmT37q4MDfVncnJt+jpW5cPPLTtpc7S0KtsCAAAAANAcyrYAAAAAHLFqUwfSqE+WHWPW6tNjma4Np629b173NBpFtm8fzPe+tytXXz2YG28cz/btRXbtasv+/csyNrYq9fr6JMf++HX/hiYaGZ3qSU/76LzmXQhdazaWHQEAAAAAgCVC2RYAAACAI1ZtcqDsCHNWmzww57Lt0NBkvv/9nbniiv254YbR3HbbdO6+u5o9e7ozPLwiU1Nrkyz/8Ws2ptLauiM9PQdy9+ix2dp+05zyHopdw7XctGc8SbJjqJYk+cZtQ0mSdcvasnVN15zm9205Y24BAQAAAADgx5RtAQAAADhi1Wsjc/r+Rc99Vb793avzzS+/J8ceu+6gawcODOWRFz43W7ZsyGc+8c78yZv/Iddce3Ouuubm7Ny5N89+5s/lnX/5+3PanyT16Qe+h0ajyPXX780PfrAn11wzlJtvnswddxTZtasjAwPLMj6+Jo3GuiRbfvw6fJXKnnR17Ul//1DWrZvM5s1FTjyxI9u2Lct5563JGWesSWvrj+bf+JGfzvb/mP+y7ZU7RvO2r+086L0//NI9SZInnNyXV1w417Lttjl9HwAAAAAAfqJSFEVRdggAAAAA+O+KosiB3d9OivqsZ+zavS+PuvDinH3W1nz0Q3920LUXvvgN+fwXLslXv/junHD8xmw64Qk5/fQTc8a2k/LPH/psfulpj29K2bZIa75z2dpceeWB3HjjWG6/vZ577mnJvn09GRlZmVptfZLOOWwYS3v7zvT2HsiqVWM59th6jj++Jaed1pNzzlmZ885bl5UrD724uuM7n87V//DKOeQpX2t3fx7755emUqmUHQUAAAAAgCXAybYAAAAAHJEa9fE5FW2TZN3aVXnLm16WF7zo9XnPez+Z5/3aU5Mkn/7s1/Oxj38xb3nTy3LC8RuTJNtv+UKq1WqS5CMf/fe5hf8vKpnOC55/bHbuOmEW326kWt2V7u69WbFiOOvWTWXLlkpOPrkzZ5zRl4c+dG1OPnllqtXZzL5//cef2bRZZenfsk3RFgAAAACAplG2BQAAAOCINF0bbcqcpz3lcfnM576e173xnXncYx+W3p7uvOLVb82FF5yf51/89Hs/95Oi7Xw484zR7NzVcT9XhtLRsSt9fQNZvXo8Gzc2cuKJbTn99N6ce+6qnHPO2vT2HpPkmHnL9t91r92SvuPOzNAPr16wnc22/uG/WHYEAAAAAACWEGVbAAAAAI5IRaPWtFlv/uOX5ZJLr8hvvfRNWb1qeaZqtbz9z1/TtPkP5uSTr8vI2HSOO66arVu7cuaZ/Tn//HXZvLk/Sd+C5ThUmy68KNe+Z3GWbdt6+rP+oT9XdgwAAAAAAJYQZVsAAAAAjkhFGk2btWJFX97+ttfkWb/6yiTJu97x2hy7YW3T5j+Yt73tpHR2r1+wfXO1/qFPyo0f/tNMjw2WHeWwbXjkM9LS3ll2DAAAAAAAlpD5+208AAAAAJiLornjfubxj8hDz9uWE0/YmGf+8hObO/xBNflm5llLe2eOfeQvlR1jVjZd8KyyIwAAAAAAsMQo2wIAAABwRKpUKk2f2dHelra2tqbPfTCVRfgYbvPjnpNqe1fZMQ7LuvN+Lt1rN5cdAwAAAACAJWbxPeUHAAAA4OhQaSk7QfNUFt9juK5Vx+bkp7+07BiHrK2nP6c++/fKjgEAAAAAwBK0+J7yAwAAAHBUaGldXKeqPpDFei+bH/ucLD/5vLJjHJJTL/q/6ehfU3YMAAAAAACWoNayAwAAAADA/Wlt7VnQfZd86/Ls2z+QJKk36rnrrl351Ke/kiT56Ueck9WrV8xyciUtrd3NCbnAKtVqzrj4j/KtNzwtjdpE2XFmtPbcn8n6859cdgwAAAAAAJYoZVsAAAAAjkiVamuqLV1p1McXZN+fvvXdueTSK+79729+6/J881uXJ0k++bG351GzLNu2tPWkUlm8PzDVvXZLTn327+W6972u7Cj3q2PF+pz2nNenUqmUHQUAAAAAgCWqUhRFUXYIAAAAALg/IwM3ZmpiT9kx5qSja316+k8qO8ac3frp/5dbP/WOsmMcpK13RR72yven55gTyo4CAAAAAMAStniP1AAAAABgyWttW1Z2hDlbCveQJCf8/P/O8U96Ydkx7tXWuyLnveTvFW0BAAAAAJh3yrYAAAAAHLHaO1cnqZQdY/YqLWnvXFV2iqaoVCo5+ekvzcm/9LKyo6Rj+bo87JXvT9/m08uOAgAAAADAUUDZFgAAAIAjVrWl/ceF28Wpo3NNKtXWsmM01fE/9+s558V/lfa+cv5eVp91YR7xex92oi0AAAAAAAumUhRFUXYIAAAAAJhJbWoow/uvKjvGrPStOjetbT1lx5gXUyMHcsOH/jg7v/vpBdnX2t2XU5/1eznmEU9JpbKITzsGAAAAAGDRUbYFAAAA4IhWFEWG9l2e+vRY2VEOS2tbX/pWnVV2jHm3+/Iv5voP/mEmB3bN2467GivyP976iXQuX3vve43pWmpjQ2nUJtKYrqXa2p6W9s609fSnUm2ZtywAAAAAABx9lG0BAAAAOOJNTezNyMANZcc4LMtWbEtbx4qyYyyIxvRUdl/xpdz51Q/mwE3fa8rM0al6vnjzUD5z/YHsGqvkpu9/NZWBuzK0/doMbb8uI3fdkMb01H2+V23vSt+m09K3ZVv6tpyevi1npOeYE52GCwAAAADArCnbAgAAALAojAzckKmJvWXHOCQdXevS039y2TFKMXLPzbnzqx/K3mu/mfE9dxzWd6ttHdlb78r7v35DvnzLUFqryRNPWZ6fP215NvS1zzpTz4aTsunCi7Lh4U9Ja1fvrOcAAAAAAHB0UrYFAAAAYFFoNGoZ3HtZikat7CgPqFptT9/qh6RabS07Sulqo4MZuuO6DG2/NsN3XJep0YE0pibTqE+npb0j1baOdK/ZnL7jzkjf5m3pOeaE3HzLrfmFR56dp56xMheesCztrdWm5Wnp6M4xj3hKtjzuuek55oSmzQUAAAAAYGlTtgUAAABg0Zia2JuRgRvKjvGAeldsS3vHirJjLEr1yfHc/Im/yPYvvjeVyvztqVRbc8LP/0aOf9ILU21tm79FAAAAAAAsCcq2AAAAACwqo4M3Z3J8V9kx7ldH94b09DkxdTYO3PyDXPtPv5ex3Xcs2M5lm07LGc/74yzbdOqC7QQAAAAAYPFRtgUAAABgUSmKIiMDN6Q2ua/sKAdp71ybnv6TU5nPI1mXoKJRz03/+mfZ/h//mJTwqLJSbc1JT/3tHPdz/8vfHQAAAAAA90vZFgAAAIBFpygaPy7c7i87SpKkvXNNevq3Kmsepsb0VK7+h1dn1w8+X3aUbLrwopz67NemUq2WHQUAAAAAgCOMsi0AAAAAi1JRFBkdvDlTE7tLzdHRfUy6l52gaHuYGtNTueKvfyd7r/pq2VHuteGnfynbfu0PFG4BAAAAADiIsi0AAAAAi1ZRFJkc35Wx4duTor6guyuV1nT3nZD2zjWKtoepaNRz9d+/Mju//7myo9zH5sc/N6c883f9nQIAAAAAcC9HNAAAAACwaFUqlXR2r0//6nPT2r58wfa2daxM/+qHpKNrrVLmLNz66f93RBZtk+SOL70vd339X8qOAQAAAADAEUTZFgAAAIBFr6WlM8tWbEt330mpVNvmbU+l2p6e/q3pXX5aqi3t87ZnKRvafm1u/+zflB3jAd300bdkfO/dZccAAAAAAOAIUSmKoig7BAAAAAA0S1E0MjWxL5NjOzJdG2rKzKuuujEnn3pm+pb1pj49lqKopygaSZJKpZpKpZqW1u60tPamta03rW3LlHHvR2N6Kt/+o1/JyN03lR3lQa089RE57yX/kErVeQUAAAAAAEc7ZVsAAAAAlqzp2mgmx3dlemoo9enRJIf2KGxiYjJ79hxIT09XVq7sn9XuaktHOrrWp6NrneLtj93yybfnts+8q+wYh+y057w+mx7z7LJjAAAAAABQMmVbAAAAAI4KRdFIfXos07WR1KdHf3Qy7Y9Pp02lmkqlJZVKSybGBjI+tiddXZ1N2lxJe+fqdHSvT2tbXyqVSpPmLi5je+/KJa99UorGdNlRDllLR3cueNOX09Yzu8I1AAAAAABLQ2vZAQAAAABgIVQq1bS29aa1rfc+1xqNWsaGbsvkxD1J0sSibZIUmZrYk6mJPWnrWJGevpNSbelo4vzF4a6vfWhRFW2TpD45lnsu/US2/MzFZUcBAAAAAKBE1bIDAAAAAECZpib2ZXDvZZma2DPvu2qTBzK497JMju/K0fSDU/XaZO7+5sfKjjErd371gykajbJjAAAAAABQImVbAAAAAI5KjcZ0RgZuzMjA9SkatQXbWxT1jA7enJGB69KoTy3Y3jLt+v7nUxsdKDvGrIzt3p79N3y77BgAAAAAAJRI2RYAAACAo06jPpXh/VcvyGm2M6lNHsjQ/qtSn54oLcNCufNrHyo7wpzc+bUPlh0BAAAAAIASKdsCAAAAcFRp1KcytP/q1KdHy46SRn3ix4Xb8bKjzJva6GAGb7ui7BhzsvfaS1I06mXHAAAAAACgJK1lBwAAAACAhdJo1DJ84Jo06kdOubVoTGV4/zVZtuqstLR0lB2n6YbuuG7OM/79poG87Ws77/faM85cmec8ZFU+ee2BXH73aO4cmMp4rZH1y9rzuJP68vQzVqS9dW5nDjSmxjO68/b0bjhpTnMAAAAAAFiclG0BAAAAOCoURZGRA9enPj1WdpT7aDQmM3Lg2vStOjuVSkvZcZpqaPu1TZv18sesz6b+gwvJq3pas2dkOp+45kAef1JffunMlelqreaaneN5/2V7c9ndo3nTkzelUqnMaffQ9muVbQEAAAAAjlLKtgAAAAAcFSbG7s50bajsGDOqT49lfPiOdPcdX3aUphq6o3ll2+NWdGTrmq77vD9Ra+S9zz4xnW3/eYLtOcf2pKOtkr//zp5cu2s8Z6zvntPuoTuuzYafeuqcZgAAAAAAsDjN7ffTAAAAAGAR+FGRdXvZMR7UxNjdqU0duYXg2Ri+47p539HZVj2oaPsTp/64mLtnZHrOO4YW4D4AAAAAADgyKdsCAAAAsKQVRZGRwZuTFGVHOSSjgzenKOplx2iaqeEDTZvVKJJ6ozjo9UCuuGc0SbJlRfucd9dGBuY8AwAAAACAxam17AAAAAAAMJ8mx3akXhsuO8Yha9THMz5yV7qXbSk7SlM0apNNm/U7n7zv6cSffcEpaalW7vP+bfsm8pEr9+eRx/XmhFWdc95dn5qY8wwAAAAAABYnZVsAAAAAlqyiKDIxdk/ZMQ7b5NiOdPVuTKXSUnaUOSsazTul95UXHpPNyw8+pfb+irY7h6fyui/clTW9bXnJo49pyu6iPt2UOQAAAAAALD7KtgAAAAAsWbWpgTTqi+9E0qKYztTE3nR0rSs7yqzt3TuW731vZ1K0piXNKdxuXt6erWu6HvAzu4ZredWn70xLtZI3PXlT+jqbU1huae9oyhwAAAAAABYfZVsAAAAAlqzJsR1lR5i1ibGdR2zZdmRkKpddtitXXrk/118/kltvreXuu6vZs6czQ0P9mZxck6JYmeSEfPi5XenvnFyQXLuGa3nlp+9IUuTNP78la3rbmja72qpsCwAAAABwtFK2BQAAAGBJqtcnUpvcX3aMWavXhjNdG0lrW++C7p2aqueqq3bniiv25dprh3LLLVO5665Kdu/uyODgsoyPr06jsSbJph+/Htg9g5vT3zkw37Gze+RHRdtGUeQtv7A565Y1r2ibJN1rNzd1HgAAAAAAi4eyLQAAAABLUm1i8RZtf2JqYm9Ty7aNRpEbb9yXH/xgT669dig33zyRO+4osmtXew4c6M3Y2MrU6+uSHPPj12zU0tKyKz09+7JixUiGWpY3Lf9MBsan86pP35H949N52QXrMzBez8D4+L3XV/e0zvmU274t2+YaEwAAAACARUrZFgAAAIAlabo2MqfvX/TcV+Xb37063/zye3LssesOunbgwFAeeeFzs2XLhvzJH7wkH/jQZ3Lpt6/MHXfuSHdXZ0477YS89Lefmwsedd6cMtQP8x7uuGMw3/verlxzzWBuumk827c3smNHa/bv78no6IrUauuSrP7xazYaqVZ3p6trb5YvH866dZPZtCk58cSOnH76spx77uqcccaatLdvTLIxSXL3Jbty7T99fZb7Ds32A5PZMVxLkvzpV3bc5/qvPmRVnnvemjnt6Ntyxpy+DwAAAADA4lUpiqIoOwQAAAAANNvg3stSnx6b9fd37d6XR114cc4+a2s++qE/O+jaC1/8hnz+C5fkq198d97z3k/mkkuvyC8//WeybdtJGRubyHve+4n8x5e+nXf+5e/n2c/8uVlnqFRas3ztw1OpVLJ371i+972dufrqgdxww2h++MN67rmnmr17uzMysjyTk2uT9M1614/27U1n55709w9lzZqJHHtskRNOaMtpp/XmnHNW5Zxz1qa3t/2wZg7fdWMufePT5pTrSHDh2y5J+7KVZccAAAAAAKAEyrYAAAAALDlFo54Duy+d85xPfOrLecGLXp+3/ekr8rxfe2qS5NOf/XoufsHv5y1velmef/HTs2fvgaxZveKg79Xr9Tz2Z1+QsbGJfP/SD80pw8MftSK33rY+RbFqTnOSwXR07M6yZQNZvXo8GzY0cvzxrTnllO6cddaKnHfeuqxe3T3HHffVqE/nKy95eOqTsy8+l61z1YZc8CdfKjsGAAAAAAAlaS07AAAAAAA02/T0aFPmPO0pj8tnPvf1vO6N78zjHvuw9PZ05xWvfmsuvOD8PP/ipyfJfYq2SdLS0pKzzzolH/3X/5hzhlNPWZdbbn2wou142tp2prf3QFauHMsxx0xny5ZqTj21O2eeuTznnbc2Gzf2J+mfc57DVW1pzfrzn5S7v/mxBd/dLBse8ZSyIwAAAAAAUCJlWwAAAACWnEZ9smmz3vzHL8sll16R33rpm7J61fJM1Wp5+5+/5gG/Mz09nW9/56qcuvW4Oe/fcMx4WlruSk/PvqxYMZJ162rZsqWSk0/uzBln9OchD1mTk09emWr1+CTHz3nffNj0mIsWb9m2Us3GRz+z7BQAAAAAAJRI2RYAAACAJajRtEkrVvTl7W97TZ71q69MkrzrHa/NsRvWPuB3/vSt/5jbbr8r7/vHP57z/re9rcjf/P2mJBvnPKssfVu2pf/4szJ4+1VlRzlsa89+bDpXHlN2DAAAAAAASlQtOwAAAAAANFtRFE2d9zOPf0Qeet62nHjCxjzzl5/4gJ993wf+LX/2l+/Nb/7Gs/Pkn3v0nHe3tMx5xBFh04UXlR1hVhZrbgAAAAAAmkfZFgAAAIAlp1KpNH1mR3tb2traHvAzH/jQZ/KyV701F//qU/KG1724OYsrS+MR3rqHPildqzeVHeOw9B13Zlae+lNlxwAAAAAAoGRL40k9AAAAAPwXlcrCHwf7gQ99Ji95+Zvz7Gf+XN725lc0rfBbWSKP8FraOrLt4j8sO8Yhq7S25Yzn/VEq1aXx5w8AAAAAwOx5UgwAAADAklOpti/ovn/+l8/mJS9/c37lGT+bv3zbq5t6sm61paNps8q28pSHZdNjn1N2jENy4i/+n/RuOLnsGAAAAAAAHAFayw4AAAAAAM3W2tazYLs++W9fye+87E9z5raT8rznPiU/uPz6g66fdcbJ6eiYffm3pa13rhGPKCf/0suy9+qvZ3zvnWVHmVHfljNy3M8+v+wYAAAAAAAcIZRtAQAAAFhyKpWWtLR2pz49Nu+7/v2L30qj0ciVV9+UJz3lxfe5fvl3P5zNm46Z1exKtS3VBT6ld761dnTnzBf8ab7/tuelMT1Vdpz7aO1aljOe/6ZUWzw6BQAAAADgRypFURRlhwAAAACAZhsZuClTE7vLjjEnbe0rsmzltrJjzIvdV34lV77rt1I06mVHuVe1vSsPfek/ZPmJ55YdBQAAAACAI0i17AAAAAAAMB9a23rLjjBnLUvgHmay9uzH5sz/9ZZUqkfGCbLV9q6c+5vvVLQFAAAAAOA+lG0BAAAAWJLaO1eVHWHOlsI9PJD1D31SzvnNv0q1raPUHK3dfXnoS/8hq077qVJzAAAAAABwZFK2BQAAAGBJqrZ0pK1j8ZZVW9uWLYnTeR/MmjMfk4f/7oezbNNppexfsfX8POL3P+pEWwAAAAAAZlQpiqIoOwQAAAAAzIfa5ECGD1xTdoxZ6enfmo6utWXHWDCN6Vpu//zf5bbP/HWKem3e91Xbu7L1l16eTRdelErVmQQAAAAAAMxM2RYAAACAJasoigzuvSyN+njZUQ5LpdKa5Wsflkrl6CuBDt91Y6573+syePtV87Zj5Wk/ldOf8/+le+3medsBAAAAAMDSoWwLAAAAwJI2MbYjY0O3lh3jsHT1bk5X79FbBC2KIoO3X5U7v/bB7Pre59KYnprzzPFaI1+6eTCfv3kkl163PX1dbRm647oM33FdJvbvTL02kWK6lkprW1raOtKxfF36tmxL3+bT09bT34S7AgAAAABgsVK2BQAAAGBJK4oiw/uvznRtqOwoh6SltTt9q845Kk+1vT9Twwdy9yUfy+4rvpjhO29IozZ5yN+drrTmunuG8o3bhvKVW4Zy9rE9efTxy/LTp21M+9Sh/++ha/Wm9B23Lese8rNZe87jU21tn82tAAAAAACwSCnbAgAAALDk1afHM7j38iSNsqM8qL6VZ6e1fVnZMY5Ijfp0RnfclqHt12Ro+7WZHNydRm0yjelaqq3tqbZ1pHPlMenbsi39W87IPcO1/NS5Z+RJpy7Pk0/tz6qetjlnaO9bnY2P/pVsvOCZ6Vyxvgl3BQAAAADAkU7ZFgAAAICjwsTo3Rkbvr3sGA+os2djupcdV3aMJWFyaF9u+sif5u5v/1uqlebPr1Rbsu6hP5dTfuXV6ehf0/wFAAAAAAAcMZRtAQAAADgqFEWR4QPXZHpqsOwo96ultSd9q85OpVItO8qit/P7n8v1H3hjaqMD876rrac/p170f7P+/CenUpmHVi8AAAAAAKVTtgUAAADgqNFoTGd4/9WpT4+WHeUg1ZbO9K08K9WW9rKjLGqTQ/tywz//QXZd9oUF3732nMfntOe83im3AAAAAABLkLItAAAAAEeVRn0qwweuSX16rOwoSZJqtSPLVp6ZltbOsqMsasN33ZTL/vJ/ZXJwT2kZ2vtW57zf+bss23RqaRkAAAAAAGg+ZVsAAAAAjjqNRi3DB65NvTZSao5qS1f6Vp6RaktHqTkWu4Hbrsxlb39RpscGy46S1q5lechv/02Wn3hu2VEAAAAAAGgSZVsAAAAAjkpFo56x4dsyOb6rlP1tHavS039SqtW2UvYvFUN3Xp/vv/XiTI8Plx3lXi2dPTn/5f+Uvi3byo4CAAAAAEATKNsCAAAAcFSbmjyQscGb02hMLci+SqU13X0npqNrzYLsW8rG9tyZ777pokwN7ys7yn209a7Iw179z+lZd1zZUQAAAAAAmKNq2QEAAAAAoEztHSvSt/oh6ehaN++72jpWpX/1QxRtm6Bo1HPNu19zRBZtk6Q2ciDX/ONrUjTqZUcBAAAAAGCOlG0BAAAAOOpVq63p6T/5R0XY7mOSSkvTZo+PT+bfPvvN9K44M129m1Kb3J+x4e0ZG749o0O3Zmzo9owNb8/E2I5MTw2nKBpN272U3fHl92fg1svKjvGABm+7Mtu/+E9lxwAAAAAAYI4qRVEUZYcAAAAAgCNJ0ahncmJ3Jsd2pj49OqsZN9x4e75xyWXp7GjP6aedmIece3oqlUP5ZiUtrd1pbetNW8eqtHWsSOXQvnjUGN31w1z6xqenUZsoO8qDqra256f+78fTc8wJZUcBAAAAAGCWlG0BAAAA4AEUjelMT49mujaSem0k9enRFI16ivzoBNpKqkmlmta2nrS09uYb3/xu/u3fPpqLnvmknHrK8XPeX612pKN7fTq616dabZvzvMWuKIp87y3PzcAtPyg7yiHrP+HsPOxV/5xK1Q+NAQAAAAAsRsq2AAAAANAERaOe8ZHtmRjbmfy4iNtclbR3rU33suOO6tLtvusvzQ/+/PllxzhsD/ntv83qMx5ddgwAAAAAAGbBUQoAAAAAMEe1yYEM7rssE2P3ZH6KtklSZGp8Vwb3Xpapib3ztOPId+dXP1h2hFlZrLkBAAAAAFC2BQAAAIBZKxr1jA7dmuED16RRn1ygnbWMDNyQkYEb0mjUFmTnkWLiwM7sufLLZceYlT1XfzXje+8uOwYAAAAAALOgbAsAAAAAs1CvT2Rw3xWZHNtRyv6pib0Z3Ht5pmujpewvw13f+EiKRr3sGLNTFLnrGx8uOwUAAAAAALOgbAsAAAAAh6k+PZ7hfVenUR8vNUfRmMrw/qszPTVUao6Fcs+3Pl52hDm5+5J/TVEUZccAAAAAAOAwtZYdAAAAAAAWk/r0RIb2X52iMVV2lCRJUUxn+MC1WbbyzLS29ZYdZ95MDOzOxP65nSL87zcN5G1f23m/155x5sq88BFr84/f25Pv3TmSXSO1TE4XWdXdmnOP7c5F56zOumVtc9o/NbQ3E/t3pGvVhjnNAQAAAABgYSnbAgAAAMAhajRqGT5wzRFTtP2JoqhneP816Vt1dlpau8qOMy+Gtl/btFkvf8z6bOrvOOi9VT0/elQ6OlXPhSf2ZfPy9nS1VXPHwFT++fJ9+fb2kfztL5+Qvs6WOe0euuNaZVsAAAAAgEVG2RYAAAAADkFRFBkdvDmN+kTZUe5XUUxnZPDG9K08O5VKpew4TdfMsu1xKzqydc39l5L/zyPXH/TfZ2/oyfplbXnt5+/KpduH88RTls9p99D2a7Pu3CfMaQYAAAAAAAurWnYAAAAAAFgMpib2pja5v+wYD6heG8nE6N1lx5gXQ3c0r2x7uPp/fJpttQkl5qHt1815BgAAAAAAC0vZFgAAAAAeRKM+lbGhW8uOcUjGR7anPj1WdoymG9t5W9NmNYqk3igOev139UaRyelGbtk7kb++dHc29rfnUccvm/Pu0Z2L439HAAAAAAD8p9ayAwAAAADAkW506NYUxXTZMQ5RkZHBm9K38uxUmnAS65GiPjXRtFm/88nt93nvsy84JS3VH/157R+bzkUfuOXea6eu7cybf35TutrmfnZBY2pyzjMAAAAAAFhYyrYAAAAA8ACmayOpTe4rO8ZhqddGUpvcn/bOVWVHaZpGrXkl1VdeeEw2L28/6L2fFG2TpL+zJe942pbU6kXuGJjKR67cl1d95s68+Rc2Z1X33B6p1mvNKw0DAAAAALAwlG0BAAAA4AFMju0oO8KsTI7tWFJl21RbmjZq8/L2bF3TNeP1lmrl3uvb1nfnoRt7cvGHbs2Hr9iX//3T6+a0u9LE+wAAAAAAYGEo2wIAAADADBqN6UxO7Ck7xqzUpgZSnx5PS+vMpdIjze7do/nBD3bl6qsHctNNY/nhD6dz993V7NvXlT9/QjVresrJtaa3Lat6WnPX4NScZ7W0dTQhEQAAAAAAC0nZFgAAAABmMDW+OykaZceYtcmxnenuO77sGEmSnTtHctllu3PVVQdy001j2b69nnvu+VGRdni4P5OTa1MUy5OccL/fH5pYnTU9exc080/cPTiVvaPTecTm3jnPau3ua0IiAAAAAAAWkrItAAAAAMxgcnxX2RHmZHJ8V7qWHZdKpTKve+65ZziXXbb73hNpDy7SLs/k5Nok/UlmX1a9dd/WnLjqhqZlvj+37ZvI33x7dx51/LIcs6wtlUolP9w/mX+9Zn+WdbTkl89aNecdfZtPb0JSAAAAAAAWkrItAAAAANyPojGd+vTorL9/0XNflW9/9+p888vvybHHrjvo2oEDQ3nkhc/Nli0b8rfvfH1+73Vvz7XX3ZI9ew6kpbUlx23ZkOdc9PP5n7/21LS2zv4RXlFMp1EfT0tr96xn3HXX0L1F2ptvHv9xkbYl+/Z1ZWSk/78UaZfNekcymdbWnenpOZAVK0azbl0tmzZVcvLJnTn99L6cc87q9Ow4Izd/5FNz2PHgVnS1ZlV3az529f7sH5tOo5Gs7mnNwzf35tnnrMra3rY571C2BQAAAABYfCpFURRlhwAAAACAI01tajDD+6+e9fd37d6XR114cc4+a2s++qE/O+jaC1/8hnz+C5fkq198d6an6/mLd7w/j/zpc7Lx2HWpTU3nP758af7+3f+aX/0fP5+/fNtr5nQfPf1b09G19j7vNxpF7rprKJdfvuc+Rdr9+7syMvKTE2n75rQ/mUhr66709BzIypUjWbdu+j5F2tNOW51q9YFP3x249fJ890//xxyzlO+hr3hvVm49v+wYAAAAAAAcBmVbAAAAALgfE6N3Z2z49jnN+MSnvpwXvOj1edufviLP+7WnJkk+/dmv5+IX/H7e8qaX5fkXP33G777gRa/Ppz/7tdxxy7+no6N91hmuuKol73l/Ldu3N7JjR0v27evOyMjyTE2tzdxOo02S8bS1/aRIO5p166azeXMlJ5/cdW+R9pRTVj1okfZQ1CfH86XffmhSNOY8qzSVSh73l99La2dP2UkAAAAAADgMs/8NOgAAAABYwqZrI3Oe8bSnPC6f+dzX87o3vjOPe+zD0tvTnVe8+q258ILzH7BomySrVi1PtVpNS0t1ThlGR3vyvvedNYtvjqWtbVd6ew9kxYqxrF8/nS1bqjnppM5s29afhzxkTU48cUWq1eOSHDenjIeipaMry086NwM3/2Ded82X/uPOVLQFAAAAAFiElG0BAAAA4H7Up8ebMufNf/yyXHLpFfmtl74pq1ctz1Stlrf/+Wvu87miKFKv1zMyMp6vfO27+dC/fC4vftGz0to6t0d4p2wdu593/7NIu3LlfxZpf3Ii7Xnnrc3xxy9PtXp8kuPntL+ZNl3w7EVdtt34mIvKjgAAAAAAwCxUiqIoyg4BAAAAAEeagT0/SKPenMLtF7/07TzrV1+ZJHnXO16bZ/7yE+/zmb94x/vzB3/8N0mSSqWSl/72c/P7r/n1Oe+enCzyyt8vcvLJXdm2rT/nnbc2W7b0p1qtzHn2QmvUpvK11zw2teH9ZUc5bG09/bngT7+alvbOsqMAAAAAAHCYnGwLAAAAAPenaDRt1M88/hF56HnbcuDA4P0WbZPkomc9KY959EMzMDCUr19yWf7qXR/M0PBI/vSPXjqn3R0dlbzvfY9KpbL4yrX/XbWtPRsf9cu5/XN/W3aUw7bhkc9QtAUAAAAAWKSUbQEAAADg/jS5m9rR3pa2trYZr69buyrr1q5Kkjz2wodlef+yvPGP/jrPefbP56wzt85p91Io2v7ExguemR9+4R9SNOplRzl0lWo2XfCsslMAAAAAADBL1bIDAAAAAMCRqdxHZw8597Qkya233Tm3QZWl9Qiwa9WxOe6JLyg7xmE57gnPS/fazWXHAAAAAABglpbWk3YAAAAAaJJqtdwfhfrmJZclSY4/buOc5lQqS+/HrU78hd9MzzEnlh3jkHSvOz4nPuW3yo4BAAAAAMAcLL0n7QAAAADQBC2tPZmuDc/7nje95R+yZ8+B/NQjzs4x61dncGgkX/rKd/K+D3w6T/3Fx+acs0+Z0/zWtp4mJT1yVNvac8b//JN8900XpWjUy44zs0o1Z/zPP05Le2fZSQAAAAAAmANlWwAAAAC4Hy1tvcn4/O855+xT87f/8NF89vPfyP4Dg+noaM8pW4/LH77h/+T5Fz9tzvNbWnvnHvII1H/cmTnuiS/I7Z/727KjzOi4Jzwvy084p+wYAAAAAADMUaUoiqLsEAAAAABwpJmujWRo3xVlx5iz3uWnpb1zVdkx5kVjupYr/+Yl2XPll8uOch+rz7gg57z4Ham2tpcdBQAAAACAOaqWHQAAAAAAjkQtrd1JKmXHmLPWtqV5sm2SVFvbctYL/ywrTnl42VEOsuLkh+bsF/2Foi0AAAAAwBKhbAsAAAAA96NSqaa1vb/sGHNSbelMpbq0C58tbR15yP95V1af8eiyoyRJVp3+yJz723+Tlo6usqMAAAAAANAkyrYAAAAAMIPO7vVlR5iTju5jUqks/tN5H0xLR1fOefFf5dhHPaPUHBt+6mk59zf/X1o7ukvNAQAAAABAc1WKoijKDgEAAAAAR6KiaGRgz/dTNKbKjjIL1Sxfe36q1baygyyo3Vd+Jde///WZHNyzYDvb+1bn9Oe8PmvP/ZkF2wkAAAAAwMJRtgUAAACABzA2vD0To3eWHeOwtXetTW//1rJjlKI2OpgbPvwn2XHpJ+d91/qH/UJOffbvpb13xbzvAgAAAACgHMq2AAAAAPAAGvXJDOz5fpLF9Ritb9XZaW1bVnaMUu277lvZ/sX3ZO+130ya/Bj0nkZ/fuGlb83qbY9q6lwAAAAAAI48yrYAAAAA8CAW2+m27Z1r0rv8lLJjHDHGdt+Ru77+L7n7ko+lNjo46znDE/V84aaBfOb6gYwUHbnlsm9matetGdp+TYbvvin18dHUaxNJUaTa3pnWju70HHNi+rackb4t27Ls2K2ptrU38c4AAAAAAFgIyrYAAAAA8CCKopGhfVekPj1WdpQHVam2p3/1Q1KttpYd5YhTn5rIgZu+l6Ht12Ro+7UZ2n5dJg7smPHzHSvWp2/ztlxy3fa899++kmt3juWhm3rz5FOX5/R1XelorR7W/kpLW/qPOyPHPvIZWX/+k9PS0TXXWwIAAAAAYAEo2wIAAADAIZiujWRo3xVlx3hQvctPS3vnqrJjLBpTw/szsX9HGtNTadSmUm1rT7W1PR0r1qej70d/jt/92r/nnS9/Tn7u1OVZ1d2cEnNrd3+OfeTTs/GCZ6Vn3XFNmQkAAAAAwPxQtgUAAACAQzQ2vD0To3eWHWNG7Z1r0rv8lLJjLBn12mRu/dQ7sv0/3pOiUZ+3Pcc+6hnZ+suvTlv3snnbAQAAAADA7CnbAgAAAMAhKopGRgZuSG1yf9lR7qOlrTd9K85Ipdqck1ePdgO3XZFr3/P7Gd1524Ls61ixPqf/6huy5swLFmQfAAAAAACHTtkWAAAAAA5DUdQzfOC6TE8Nlh3lXi2t3Vm28sxUq21lR1n0GrWp3PLJv8wP/+M9SdFY8P0bfvqXcuqzfjetXb0LvhsAAAAAgPunbAsAAAAAh6lo1DM8cH2mpwbKjpKW1p4sW3mGom0TTE+M5op3/Vb2X39pqTmWbTot573k79O+bGWpOQAAAAAA+BFlWwAAAACYhaJoZHTw5kxN7CktQ2v78vQuPzXVamtpGZaK2thwLnv7r2fwtivLjpIk6V53fB768vekc/nasqMAAAAAABz1lG0BAAAAYA6mJvZmdOjWFI3awi2ttKR72XHp6FqfSqWycHuXqPrkeH7w9l/PwM0/KDvKQXqOOTHnv/J9ae9dUXYUAAAAAICjmrItAAAAAMxRo1HL2NCtmZrYO++7WtuXp6f/pLS0dM77rqNBURS58l2/ld1XfKnsKPer/4Szc/4r3pdqa1vZUQAAAAAAjlrVsgMAAAAAwGJXrbald/mp6V1+elrb+uZlx569w+np35plK7Yp2jbRPd/6+BFbtE2SwduuzO2f/7uyYwAAAAAAHNWcbAsAAAAATTZdG83k+M5Mju9Oivqs50xMTOYTn/py3v2eT6S7py//8e//lvr0aOq1kdTr4ymKRlI0kkollUo1lUpbWtt60tLWm9a23rS09qRS8e/tZzJxYGe+9fpfzPTESNlRHlClpS2P+P2PZNnGU8qOAgAAAABwVFK2BQAAAIB5UjSmU5sayHRtJNO14dRrIykeqHxbaUlra08+89kv5eOf/HxuuvmHedpTHp9nPuNns3796lkkqKS1vT+d3cekrWNlKpXKrO9lqSmKIpe9/UXZd+03yo5ySJZtOi0P/91/SbW1rewoAAAAAABHHWVbAAAAAFggRVGkUZ9Moz6RIo2kKH50Km2qqba0p9rSlST50hc/mX27b87jH/vwVKvNOZm2Wu1IR/f6dHStS7WlvSkzF7Md3/m3XP0Pryo7xmE5+ekvy/FP+vWyYwAAAAAAHHWUbQEAAADgCDFdG8no4M2pT4/O45ZqupZtTmf3sUftSbdFUeTSP3h6Ru66sewoh6W9b3UueNOXUm1VlgYAAAAAWEjNORYDAAAAAJi1omhkfOSODO27cp6LtknSyPjwDzO0/6rUp8fmedeRafC2KxZd0TZJpob2ZvflXyw7BgAAAADAUUfZFgAAAABKNF0bzdC+KzM+ckeShfsRqnptOIN7L8/46F052n786s6vfrDsCLO2mLMDAAAAACxWyrYAAAAAUJLa1GCG91+1AKfZzqTI+PAPMzp0y1FTuJ0c2pedP/h82TFm7cDN38/w3TeVHQMAAAAA4KiibAsAAAAAJahNHsjw/mtTFPWyo2RqfFdGB288Kgq3e678UorpWtkx5mTX9xdvWRgAAAAAYDFqLTsAAAAAABxtalNDGT5wfZJG2VHuNTWxN0k1Pf0np1KplB1n3gz+8Jo5z/j3mwbytq/tvN9rzzhzZV74iLUHvTc53cj//tjtuXuolv/18DX5lbNWzWn/0Pa53wMAAAAAAIdO2RYAAAAAFlB9eiIjB67NkVS0/Ympid2ptnSke9mWsqPMm6Ht1zZt1ssfsz6b+jsOem9Vz30fuf7T9/dmYrp5pwYPbb8uRVEs6VI0AAAAAMCRpFp2AAAAAAA4WhRFkdHBm1IU9bKjzGhi9M5MTw2VHWNeNGpTGbn75qbNO25FR05b13XQa21v20GfuWH3eD517YH8759aO8OUwzc1vC+TA7uaNg8AAAAAgAembAsAAAAAC2RybEema0d+kXVk8OYUxZF38u5cjdxzc4p6bcH21epF/uzrO/KLpy/PyWs6mzq7mSf0AgAAAADwwJRtAQAAAGAB1KfHMzbyw7JjHJJGfTzjI9vLjtF043vvbuq8RpHUG8VBr//qA5ftzUStyMUPXdPUvUkyvq+59wIAAAAAwMxayw4AAAAAAEeD0aFbk0V0WuzE6N1p71yT1rbesqM0TWN6sqnzfueT9y0kf/YFp6SlWsmt+ybykav25Q0/uzGdbdVkoqmr06g1914AAAAAAJiZsi0AAAAAzLPp2mimpwbKjnHYJsbuSW//1rJjNE2jNtXUea+88JhsXt5+0Hst1UrqjSJ/9rUdecwJfXnopvkpKzf7XgAAAAAAmJmyLQAAAADMs8mxHWVHmJWp8b1pLDs+1Wpb2VGaYmyiuScLb17enq1ruu7z/r9esz87hmv5vccfm5HJ+o92T/1od226yMhkPV1t1bRUK7PeXWldGn8nAAAAAACLgbItAAAAAMyjojGdyYndZceYpUYmx3enq+fYsoM8qHvuGc5ll+3ONdcM5JZbxvPDH07nnnuq2bevM0ND/ZmcXJ1HHteX//sz859l+/7JjE418vwP33afa//0g735px/szf/7peNy4qrOWe9oaeuYS0QAAAAAAA6Dsi0AAAAAzKPJ8d1J0dwTVRfS5NiOdHZvSKUy+1NY56LRKHL77QO5/PI9ue66wdxyy3i2b29kx46W7N/flZGR5ZmcXJOkP8myB5y1f2zNgmR+5jmr8oSt/Qe9d2C8nj/58j35+dOW5zEnLMuGvvY57WjvWz2n7wMAAAAAcOiUbQEAAABgHk1N7is7wpw06hOpT4+mta236bOnpxu54YZ9ufLKvbnuuqHceutE7rijyK5drdm/vyejo8tTq61LsuLHr9maSkvL7uyZmk6jqKRaKZp0B/dv8/KObF5+8MmzO4enkiTH9LXl7A09c97Rt2XbnGcAAAAAAHBolG0BAAAAYJ4URZF6bWTW37/oua/Kt797db755ffk2GPXHXTtwIGhPPLC52bLlg35zCfemWq1eu+1r379+3nGs16aJLnpmn/LqlXLZ50hSaZrI4ddtp2YmM7VV+/JVVftyw03DOfWW6dy551Fdu9uz8BAT8bGVmZ6el2SNT9+zdZ42tp2pafnQFasGM26ddPZtKmSk07qzOmn9+Wcc1bn1FNXpbV1Y5KNueT1J2R0x61z2Fe+1s7edK/ZXHYMAAAAAICjRqUoivk9xgEAAAAAjlL16fEM7v3BrL+/a/e+POrCi3P2WVvz0Q/92UHXXvjiN+TzX7gkX/3iu3PC8RvvfX9kdCyPfuzzMlWrZefOvU0p23Z0rU9P/0n/uWNkKldcsTtXXbU/N9wwkttum8rdd1eyZ097BgaWZXx8VRqNtUla5rQ3GUp7+5709g5k1aqxrF9fz+bN1Zx8cle2bevPueeuyfHHL0+1WjnkiVf/w6uy4zv/Nsdc5Vqx9WE5/xX/VHYMAAAAAICjhpNtAQAAAGCeTM/hVNskWbd2Vd7yppflBS96fd7z3k/meb/21CTJpz/79Xzs41/MW970soOKtknyxj/6myzv780Tfuan87a/aE4h88orduQZz96XwcG+TEysTlGsSbLxx6/ZqVT2p6NjT5YtG8qqVePZsKGRLVtasnVrd844Y3nOOWdNNm7sS9LXlHv4ib7jzlj0Zdu+LdvKjgAAAAAAcFRRtgUAAACAeVKfY9k2SZ72lMflM5/7el73xnfmcY99WHp7uvOKV781F15wfp5/8dMP+uyl374y733/p/KFT/91Pv/vl8x5908cf1w1+/adn1qtekifr1Z3p7Nzb/r6hrNmzUQ2bChy/PFtOeWUnpx55oqcffaarF69MsnKpmU8VGvOflxu/PCbkkX8g19rz3lc2REAAAAAAI4qyrYAAAAAME8ajcmmzHnzH78sl1x6RX7rpW/K6lXLM1Wr5e1//pqDPjM+Ppnfefmb8hu//is5+6xTmlq27egosnpVLTt2tqalZVe6uvalv38ka9dO5dhji5xwQntOPbU3Z565Muecsza9vWuTrG3a/mbqXr0xq7c9Onuv+XrZUWal99itWX7SeWXHAAAAAAA4qijbAgAAAMA8KYpGU+asWNGXt7/tNXnWr74ySfKud7w2x244uMz6J2/++9Trjbz6FS9oys7/7rOf3ZVTT9uQzs4NSTbMy46FsunCixZt2XbThRelUqmUHQMAAAAA4KiibAsAAAAA86UomjbqZx7/iDz0vG05cGAwz/zlJx507QeXX5e//ruP5MP//NZ0dXU0bed/deaZq9PSujQeJ64+49HpXHVsJvbdXXaUw9LS2ZNjHv6LZccAAAAAADjqVMsOAAAAAABLVpNPIO1ob0tbW9t93v/tl74pv/DkC3Lu2adkcHA4g4PDmZicSpIMj4xleGSsCduXzmmqlWpLNj/uV8uOcdiOfeQz0trZU3YMAAAAAICjztI4igIAAAAAjkCVysL8W/cbbrw9N9x4ez75b1+5z7XzHvGsnLHtpHzti/84px0LdS8LZfNjn5Md3/5Uhu+8vuwoh6Rz5TE56Sm/VXYMAAAAAICjkrItAAAAAMyTarV9QfZ88mNvv897H/yXz+ZDH/583vePf5xj1q+Z44ZKKtX7nqi7mFVb23LG//yTfPuPfiVFvVZ2nAe17df+IK1dvWXHAAAAAAA4KinbAgAAAMA8aWlbmHLko3763Pu8d8m3Lk+SPPz8M7Nq1fI5zW9p7VlyJ9smybKNp+SEn/+N3Pqpd5Qd5QFtfPQzs+r0R5YdAwAAAADgqLX0npADAAAAwBGidYHKtvNtqdzH/Tn+5349fVvOKDvGjDpXHZutv/zKsmMAAAAAABzVKkVRFGWHAAAAAIClqCiKHNj97aSolx1lTrr7Tkpn9/qyY8ybycE9+d5bfjVju+8oO8pB2petyvmvel961h1fdhQAAAAAgKOak20BAAAAYJ5UKpW0tvaUHWPOlvLJtknS0b8m57303elctaHsKPdq6+nPQ17yd4q2AAAAAABHAGVbAAAAAJhH7Z2ryo4wJ9WWjrQsgcLwg+ladWwe9sr3p/sIKLd29K/J+a98X/o2nVZ2FAAAAAAAomwLAAAAAPOqvWtdFvNjuI6uY1KpVMqOsSA6Vx6Th73q/Vl91oWlZVh+4rl52Ks/mN4NJ5eWAQAAAACAg1WKoijKDgEAAAAAS9no4M2ZHN9VdoxZqGT52oelWm0rO8iCKooiO779ydzwL3+S6bGhBdlZbevIyU97STY//rmpVFsWZCcAAAAAAIdG2RYAAAAA5tl0bSRD+64oO8Zha+9cm97lW8uOUZqJA7ty3ftfn71Xf21e9yw/8dxse94fpWfd8fO6BwAAAACA2VG2BQAAAIAFMLT/6kxPDZYd47D0rTonrW29ZccoVVEUOXDjd3PnVz+Y3Vd8MUWj3rTZ37tzJNue8ht56ot+N5VqtWlzAQAAAABoLmVbAAAAAFgA9enxDO69PEmj7CiHpKN7Q3r6Tig7xhFl4sCu3P3Nj+aub3w4kwO7ZzVjaKKeL9w4kM9cP5Adw7U89alPzcc//vGM77kzQ3dcm5F7bk19ciyN2kSSSqrtnWnr6k3vsaekb8u2dCxfm0ql0twbAwAAAADgASnbAgAAAMACGR+9O+PDt5cd40FVWzrTv/rcVCotZUc5IhWNRsb33pmh7ddmcPu1Gdp+bUbuujHTE6Mp6rUkSaXampaOrvRuODl9x23Lss3b8qwXvTyXXnNrGkWybllbfvbk/pxxTHfOO2Ft6hMjh7S7vW91+jafnhVbz8+Gn356OvpWzeetAgAAAAAQZVsAAAAAWDBFUWR4/9WZrg2VHeUBLVt5Vtra+8qOsSgVjXqKoki1pfU+1/6/178un/3HP8svnr4i52/qSXWOJ9RWWtqy7rwnZtOFF2X5iec68RYAAAAAYJ4o2wIAAADAAqpPj2dw3xVJUS87yv3q7Dk23cuOLzvGklIURXZ+9zO5/qNvzfTgrnnZsWzjqdn6K6/KqtN+al7mAwAAAAAczZRtAQAAAGCB1SYHMnzg2iRH1qO59s7V6ek/xQmpTTQ5uCfXvf8N2XPllxZk38bHPCtbn/HKtHb2LMg+AAAAAICjgbItAAAAAJRgamJ/Rgauz5FSuG3rWJne5aemUqmWHWVJ+Mlptjd86A9TGx1c0N2dqzZk28V/lFWnPmJB9wIAAAAALFXKtgAAAABQktrkQIYHrkuKRqk52jvXpKf/ZEXbJika9Vz/gTfmrm98uNQcJz/9ZTn+Sb9eagYAAAAAgKVA2RYAAAAASjRdG8no4E2pT4+VsL2Srt5N6ezZlEqlUsL+pacxPZWr3/3q7Pr+58uOkiQ57okvyMm/9HJ/vwAAAAAAc6BsCwAAAAAlK4pGxkfuyMToXQu2s6W1Jz39W9Pa1rNgO5e6olHP1X//yuz8/ufKjnKQ45/0opz89JeUHQMAAAAAYNFStgUAAACAI8R0bTijgzfP8ym3PznNdmMqleo87jn6XPeB/y93fe1fyo5xv7b+yqtz3BOeV3YMAAAAAIBFydN0AAAAADhCtLYtS9+qc9K7/NS0tvc3dfau3fvy1j9/T354T1u6ejcfVLQtiiJF0Yh/lz97O3/whSO2aJskN3/srRn84TVlxwAAAAAAWJRayw4AAAAAAPynSqWa9s7Vae9cnfr0WCbGdmRqfE+KYvqwZzUajVz6navy7vd8PJ/53NeTJD3Ljsnpp25OvTaS6dpI6vXxpKj/twytaWnrSWtbb1pae9PatizVlo5UKpWm3ONSMzW8P9f/8xvLjvGAikY9177n9/KI3/9oqm3tZccBAAAAAFhUKoXjKgAAAADgiFYURRr1iR+VY2sjmZ4eSWN6/Een0aaRSipJpZpqtS0trT8qyU7X23LS1jOya9eenH7aiXn+xU/LrzzjZ9Pb2z2rDNWWjnR0rU9H9/pUq21NvsPF7cq/fWl2ff/zZcc4JMc/+UU5+WkvKTsGAAAAAMCiomwLAAAAAEtQUTTyznf8SY7fsjw/9fCzmzi5kvbO1ensPiat7X1NnLs47frBv+fKv/mdsmMcskq1JQ//3X9J35ZtZUcBAAAAAFg0lG0BAAAAYImZro1kdPCm1KfH5nVPe+eadPedcNSedFsURb71hqdk9J5byo5yWNae8/ic8+K/KjsGAAAAAMCi0Vp2AAAAAACgOYqikfGROzMxeueC7Jua2JPa1EB6+k5Me+fqBdl5JDlw8/cXXdE2SXZf+ZVM7N+RzpXHlB0FAAAAAGBRqJYdAAAAAACYu+naaIb2XbFgRdufKBq1jAzckJGBG1M0phd0d9nu+uoHy44wO0Ujd33jw2WnAAAAAABYNJRtAQAAAGCRq00NZXj/ValPj5WWYWpiT4YOXJNGo1ZahoU0Obgnuy77j7JjzNpd3/hoGtNTZccAAAAAAFgUlG0BAAAAYBGrTQ5k+MA1KYp62VFSr41keP/VR0Xhdsd3Pr2oT/KdGtqbvdd8o+wYAAAAAACLQmvZAQAAAACA2ZmeGs7wwPVJ0Sg7yr3q02MZ3n9Nlq08M9Xq0n38OHDbFXP6/r/fNJC3fW3n/V57xpkr88JHrM0rP709V+0Yv8/18zb25I+ftGlO+5Nk8LYrs/acx895DgAAAADAUrd0n3YDAAAAwBLWqE9m+MC1yRFwou1/V58ezejADeldsS2VSqXsOPNiaPs1TZnz8sesz6b+joPeW9Xzn49tj1nWllc/dsNB13s6mvODZYNNugcAAAAAgKVO2RYAAAAAFpmiKDI6dEuKYrrsKDOqTQ1kcnxXOrvXlx2l6aZGDmRi3z1NmXXcio5sXdM14/X21kpOWzfz9bkY2n5diqJYsoVoAAAAAIBmac4RCAAAAADAgpma2JPa5IGyYzyoseHbU69PlB2j6Ya2X1d2hKaYHhvM+L67y44BAAAAAHDEc7ItAAAAACwijfpkxoZuLTvGoSnqGR28JctWbFtSp6eO7mzen3+jSOqN4qD3Wqr/+We1Y6iWZ7z3poxNNbKuty2PObEv/+PcVelobc45CqM7bk336o1NmQUAAAAAsFQp2wIAAADAIjI2fHuKol52jEM2PTWQqYk96ehaW3aUpqlPNe+03t/55Pb7vPfZF5ySlmol29Z154IT+rJpeXumpot8786RfOTKfbl251je/AubU21CgbmZ9wIAAAAAsFQp2wIAAADAItGoT2ZqYm/ZMQ7bxNg9S6ps26hNNm3WKy88JpuXtx/03k9Otn3e+WsOev9hm3uzbllb/u47e3LpD0fyyOOXzXl/Q9kWAAAAAOBBNee3xgAAAACAeTcxtrPsCLNSr41kujZcdoymqVSa91h18/L2bF3TddDrgTz+pP4kyfW7x5uyv1JtacocAAAAAIClzMm2AAAAALAIFEUjk+OLs2ybJBNjO9LbP/eTWBfCyMhUrrhid66+en9uumkkt98+lbvuSvbsac/AQE+efOJY/udDy83448Nv5z6nrf3BPwQAAAAAcJRTtgUAAACARaA2uT9Fo1Z2jFmbGt+bxrLjU622lZah0Shy++0DueKKPbn++qHccst47rijnh07qtm/vzPDw32ZmFiVoliTZOOPX/c1NH7Dgub+r/7j5sEkyalrH/gE3EPV2t3XlDkAAAAAAEuZsi0AAAAALAJTE/vKjjBHjdQmB9LRtWZepo+MTOXKK3fnmmsO5MYbf3IabZE9e9oyMNCT0dEVmZ5ek2TFj1+zd9v++y/hNtPVO8bywSv25ZHH9Wb9svbU6o18787RfPaGgZyzoTuP2NLblD3LNp7SlDkAAAAAAEuZsi0AAAAALALTtZFZf/ei574q3/7u1fnml9+TY49dd9C1AweG8sgLn5stWzbkXe/4vznvEc+63xl/967X55ee9jOzzpAk9emRJIdXtm00imzfPpgrrtiT664bPOg02n37OjM8vCwTE6sf9DTaQ1NLS8vudHXtT3//SFavnsqGDUWOO64tW7f2ZNu25Tn33LVZ0XdevvzbLSka9TnsemAru1vTUkn++fJ9GZyop5Lk2P72/Np5q/OMs1amWqnMeUfnqmPT3ju34jEAAAAAwNGgUhRFUXYIAAAAAGBmRWM6B3Z/e9bf37V7Xx514cU5+6yt+eiH/uygay988Rvy+S9ckq9+8d1pbW3JuQ97Zn79Bc/IM57+hIM+d+LxG7NyZf+sMyRJa3t/+laeee9/j43VcuWVu3P11fsPOo129+4fnUY7NrY8tdraJN1z2vsjg+no2JOensGsXDmWdevq2bSpmhNO6Mhpp/XlrLNW5fTTV6e1tXpI0771xqdl5K4bm5CrPGsf8rM55zf+suwYAAAAAABHPCfbAgAAAMARbnp6dE7fX7d2Vd7yppflBS96fd7z3k/meb/21CTJpz/79Xzs41/MW970spxw/MbcceeOJMnGY9fl/PO2zTn3f3dg/0C2nv7tDA31Z3JyVRqN1UmO/fFrtqbT0rI7nZ0/OY128t7TaE8+ufve02jXru1PMrey8H/Vv2Xboi/b9m85o+wIAAAAAACLgrItAAAAABzh6rWROc942lMel8987ut53Rvfmcc99mHp7enOK1791lx4wfl5/sVPb0LKB7est5LurrOza1fXIX5jMO3te9PbO5AVK8azbt10Nm2q5IQTOnPqqcvuPY22vX1Dkg3zGf0+Vp76iNx9yb8u6M5mW3nqw8uOAAAAAACwKFSKoijKDgEAAAAAzGxs+PZMjN495zkHDgzlkY/9tZx80pasXrU8X/nad/ONL/9Tjt2wNklyx507cu7DnpmVK/ozPDKa1paWnHXm1vzWb/6PPOmJj5rz/iR50lPOyne/15NqdXe6uvalr++/nkbbmpNP7snpp/fn3HPXZv363qbsnA/12mS+/qoLUxsdKDvKrCzbdFoe8dqPpVKplB0FAAAAAOCI52RbAAAAADjCFUWjKXNWrOjL29/2mjzrV1+ZJHnXO157b9E2Sdrb2/Jrz/nFXPiY87Nu7arcdfeu/N27P5Zffd7v5i/e+qo89zm/OOcM//juvTlpa0/a249Jcsyc55Wlpa0jxz7qGfnhF/6h7CizsunCixRtAVh0iqLID0dHcs3AQA5MTWay3ki9aKSj2pLOlpYc37ssZyxfnt62trKjAgAAsMQ42RYAAAAAjnCjg7dkcnxn0+Y98Rd+IwcODOa7l3zwQT9bq03nZ5/8wtx19+5cf9Un0to6t3+/37vi9LR3rJzTjCPF2J47883XPjFZZI9YW7uW5YI3fzWtHd1lRwGAB9QoilyyZ3e+tmtnrjpwINcMHMhgrfaA36kkOXHZspy1fEXOXbkqv7hxU9Z0di5MYAAAAJYsJ9sCAAAAwJGuUm3quI72trQd4olvbW2tedpTH583/tFf59bb7sopW4+b0+5KmnsvZepesymrz7gge6/+WtlRDsuGn36aoi0AR7SBqal8ZPsP897bbs1tI8OH9d0iyS3Dw7lleDj/eucdeeNVV+YXNm7MxSeclIeuWuVkdwAAAGZF2RYAAAAAjnCVJpdtD9dPfhyrWm1CjpLvpdm2PuMV2Xf9t1JMP/Ape0eK9mWrcsKT/3fZMQDgfu2ZmMhbrrsmH7tjeybq9abMrBWNfPzOO/LxO+/Iaf39+e1TT88vHrtR6RYAAIDDsrSebAMAAADAElRt6Shtd602nU986stZtbI/Jxx/7JzntZR4L/Ohd8NJOekpv1V2jEN22nNel/ZlK8qOAQAHKYoin7zzjjz2Pz6fD9x+W9OKtv/d9YOD+d/fuTQv/Pa3smdiYl52AAAAsDQ52RYAAAAAjnCtbb0Lsue1r39HatPTefj5Z2bt2lW5++5d+bt3/2uuvubmvOMvfjctLS1zml+ptqVSbW9S2iPHlif8z+y67IsZ+uFVZUd5QOvPf3LWPeRny44BAAfZMzGR37v8B/nsPXcv2M7P3nN3Lt27J390zkPylI2bnHILAPz/7N13mFTl3cbx+0yf7R0Wdum9g2ABFayxlxgL9hhLYom9K3ZjVMSoqIkldiyoscSKioiiIoI06b0sZdtsmT7n/QPldUPbnZnds+X7ua69ImfOeZ77bJBNDvf8BgCAPaJsCwAAAAAAADRzdkeqJEOS2aj79O3TTc+9+I7efHuKqqpqlJaWomFD+mrypPE6aMzeCa/vcKa1yjKLze7QgHPv0bd3n6RYJGR1nJ1ypeeqz2m3WB0DAIA6fijdqj9+87XKQsEm37s8FNLF33+rLzaV6IFhw+W08YGgAAAAAIBdM0zTbNwn9AAAAAAAAAASVrl1tqKRGqtjJMSTWqyU9M5Wx2g0JT98qLlPXS01s0euNpdXw698Rlndh1odBQCA7aZt2qQ/zfhatdGI1VF0WGEHPbnPfvIkOMUfAAAAANB68RZNAAAAAAAAoAVwONOtjpAwhzPN6giNqv3wI9XvzNutjlGH4XBqyF8epWgLAGhWvt68Wed+81WzKNpK0qcbN+jCb79ROBazOgoAAAAAoJmibAsAAAAAAAC0AC5PntUREmIYDjndWVbHaHRFB5yi/mffLRnWP3q1ubwadukTyus/yuooAABs91N5mf44Y7qCzazY+lnJRl3xw/eKNbMJ9QAAAACA5sH6J74AAAAAAAAA9sjhypTN7rU6Rtzc3nYyjLbx0cwd9z9Jgy+aILsn1bIM7sx8Db/yGeX2o2gLAGg+aiJhXfTtDNVEmsdE2//1n7Vr9MKKZVbHAAAAAAA0Q5RtAQAAAAAAgBbAMAx5UgqtjhE3d0p7qyM0qXbDDtfI2961pOxauN/xGnn7e8rqPrTJ9wYAYHfunjdXa2trrI6xW3fPm6vV1dVWxwAAAAAANDOGafJZKAAAAAAAAEBLEItFVLHle8lsXh+7vCdOV7bSc/pbHcMSpmlq/fTJWvzG3xUNNG65yJ2Zr35n3aH8QQc16j4AAMRj+uZNOvWrL62OUS/75eXr9QPHyGYYVkcBAAAAADQTTLYFAAAAAAAAWgibzSG3t+VNiPWkdrQ6gmUMw1DRASdr1O3vqXjM6bJ7UpO+R3ltRMud3TXy9vco2gIAmqWaSFjXzPrB6hj1NmPrFj2/fJnVMQAAAAAAzQiTbQEAAAAAAIAWxIxFVVn6o2LRoNVR6sXlbae0zJ5Wx2g2IoEabfzufa2d+oqq1y9JaK15G2v13sJyfb2qSlk5eVq/fr1cLleSkgIAkDxPLlmsu+b9ZHWMBslyufTDUcfIa3dYHQUAAAAA0AxQtgUAAAAAAABamHCwQlXl862OsUc2m0sZecNks1FS+V+macq3er4qlv0o3+oF8q1ZqJqSFdIuHtcaNofSOvZURud+evuLWXrqP59rTUWozjlvvvmmjj70wG3rrV6g6g1LFQ3UKBoKSoYhu9MlhydNaUW9ldG5vzI69ZcrPbspbhcA0IbFTFMHfPyhVtVUWx2lwR4evrdO7tzF6hgAAAAAgGaAsi0AAAAAAADQAtX4litYu9HqGLuVlt1PLneO1TFajEigRjUlKxQN+hUNBWTYbLI5XHJ405Ra2F12p1uS9OWXX2rMmDHbrxvaIUVH9MnS8C7ZSrNHG7SnJ6dQ2T2Hq+MBJyu753AZhpHMWwIAQFNLSnTG19OsjhGXoTk5ev+gQ62OAQAAAABoBijbAgAAAAAAAC2QGYuqsnSOYlG/1VF2yu1tr9TMHlbHaJVM09Sgvj3V01mmo/tmqTjLnZR10zr0VNGY09Rhn+Pk8KYlZU0AAP74zXR9snGD1THi9uHBh2pQNm8eAgAAAIC2jrItAAAAAAAA0EJFo0FVlc5VLBa0OkodTneu0rL6MCW1EcQiYa36+Gktfnei7GbDptjWl92dou7HXqLOh54jw2ZvlD0AAG3DJr9fwz94XzG13L+OPLNrN/192HCrYwAAAAAALOawOgAAAAAAAACA+NjtbqXnDFBV2TzFYiGr40iSnO5spWX1pmjbCKrWLdb8525S1ZqFaswKbDRYqyWTH9CmHz/VgHPvVWr7ro24GwCgNfuhrLReRdvaL6aqYuITktOpgkcmyJGfX+f1rePuUKzKp4IJ4yVJgR9myf/NDIVXrVJk/QYpGlWHya/tdO3Ihg3yvTxJwfkLpHBYjk6dlH7SifKMqF+Bdmbp1nqdBwAAAABo3WxWBwAAAAAAAAAQP7vDq/TcQbLZPVZHkcuTp7SsvjIMHjsmUywa0fL3H9e395ysqjULm2zfyhVzNOOuE7Xqk3/LjDXOFF0AQOs2t7ysYReEw6qatPPS7G8Fvp+p0NJlchQVydm58y7Pi2zerC033arIhg3KuvB8ZV99pWwZGSq7/0H5v/2uXpGW+qpUG4nU+xYAAAAAAK0Tk20BAAAAAACAFs5u9ygjd7BqKpcpHCy1IIEhb1oneVKLmGibZNGgXz/98wptnT/Nkv1j4aCWTL5flSt+0sDz75fN4bIkBwCgZZpXXt6g891Dhsg/fbrSjjtGzi5ddnle5p8vlGHb9uaeiqefVXjFip2eV/32OzJDQeXecrPsuTnb99hy9TXyPfe8PHuP2L7OrsRkakFlhUbk5jXoXgAAAAAArQsjJgAAAAAAAIBWwGZzKj27r1Ize8swmu499nZnmjLzhsqbVkzRNskigRrNeuQCy4q2v7Xpx481e+IlioYCVkcBALQQpmlqbkXDyrZpJxwrW1q6fC+9stvz9lSQ/VVo8WI5O3feXrSVJMNuk3voEEW3liq8bFm91mloaRgAAAAA0PpQtgUAAAAAAABaEbc3X5l5w+TyNO70tVAoIm9aZ2XkDJbdkdKoe7VF0XBQsydeooqls6yOsl3pgun66Z9XKBYJWx0FANACbA4EVB4KNegaw+NV2km/V3DOTwrOm59wBjMSkeF07riPY9ux8Oo19VpnUWVlwlkAAAAAAC0bZVsAAAAAAACglbHZXUrL6qOM3KFypxRKhj1pa69ctV7j7pioQXudJF+Ni2m2jcA0Tc17+hqVL/7O6ig72DrvSy148VaZpml1FABAM1cTicR1Xerhh8nerp18L72c8M8bZ1GRwqvXKOavO5k9tGiRJClWVVWvdWqi8d0LAAAAAKD1aLrPkwMAAAAAAADQpBzOVDmc3ZWS1lnBwBYF/ZsUDddIalhxJRiK6PPPZ+jfL76jz7/4fnvx5bnnntM111yuaLhakXC1ouFqxWIhmWZMMk3JMGQYNtlsbtmdaXI4U2V3pslmc1PS3Y310ydr8+wpVsfYpY0z3lH+wNFqP/xIq6MAAJqxQCwa13WG06H0saeq4uFHFPhmhryjRsadIfWI3ykw8wdVPPqYMs45S4bbrZoPP1Zo8ZJfNqvfXKJANL57AQAAAAC0HpRtAQAAAAAAgFbOsDnkSSmUJ6VQphlTNFyjSGRbOTYaqZVpxmSasV8KsIYMm0MOR+ovBdk0rV23SWedd/D2km3/ft113rkn6vhjBqpyyw973D+qWoVD5b/J45TLnSt3SqEcztTGuu0WyV+6QYvf+LvVMfbo51fuUnavveXOyLU6CgCgmUrkbTXeUSNV8+578k16VZ599o57Hfeggcq65C/yPf+iNl/yV0mSo6hI6aedoqpXXpU9N6de6/AWIQAAAAAAZVsAAAAAAACgDTEMmxyudDlc6fW+pkuXrjr66KPkcYV03jknap+9ByaUwYyFFfSXKOgvkcOZIXdKoVyeXBn1nC7XWpmmqYUvjlM0UGN1lD0KV5fr51fu1OCLHmZKMQBgp9w2e9zXGoahjDNPV+md96j2088SypEyZrS8B+yvyMaNMuwOOQrbq+qttyXDkKtvn3qt4bbHfy8AAAAAgNaBsi0AAAAAAACA3QoFy/XPx66Vx538okkk7FOk0id/lVupmT3ldGclfY+WYsOM/6h04ddWx6i3zT9+os0/fqp2ex1udRQAQDOU5kzsryHdgwbJPWiQqia/KXtuYpPUDbtdzqIiSVKspla1Uz6TZ8RwOfLz63V9qoO/UgUAAACAto7/ZwgAAAAAAABgp2KxiGqrVirk39QoRdu6ewVVVT5fbm97paR3kWFrW48uzVhMKz/4p9UxGmzlR09RtgUA7FS+26Mcl1tloWDca2Scebq2XH+jYpWVchQXbT8e2bJF4WXLJUnRkk2SJP+MbyVJ9vx8uXp03/ZaZaVq3n1frj69ZXg9iqzfoOp33pUMmzLPP6/eOfpmZMZ9DwAAAACA1qFtPbEGAAAAAAAAUC/hYLlqKpcqFgs16b5Bf4nCwfI2N+W2bNEM1W5ebXWMBvOtnq/KlXOV2XWQ1VEAAM2MYRgalJ2tqZtK4l7D2a2rvKNGyj+97uT30PwFqpj4RJ1j5eMnSJK8Y0bLdenF2zLY7AqvWqXaL6YqVlsje1a2PCOGK+3kk2TPyKh3joHZ2XHfAwAAAACgdTBM0zStDgEAAAAAAACg+QjWlqjGt8zqGErN7CW3t8DqGE1izuOXavOcz6yOEZcO+52gAX/8m9UxAADN0N8XzNMji362OkZC7IahxcedKK+DGUYAAAAA0JbZrA4AAAAAAAAAoPkI1KxvFkVbSaqpXKJA7UarYzS6QNlGbf7pC6tjxK1k5gcKVZdbHQMA0AwNymr5E2F7pWdQtAUAAAAAULYFAAAAAAAAsE2gtkS1VSutjlFHrW+5gv5NVsdoVCU/fCiZMatjxC0WCWnzj59aHQMA0AwNz82T3TCsjpGQvfPyrI4AAAAAAGgGeBsmAAAAAAAAAIWCZaptJhNt/1dN5VLZbG453VlWR2kUlSvnJbzGJ0sqNP7Lkp2+dtLAHF24b4EkKRCO6bWfSvXlcp82V0fkcRrqmuPRFQe0V8dMV9z7V66ap6IDT4n7egBA65Tv8ejwwg76cMN6q6PE7fSu3ayOAAAAAABoBijbAgAAAAAAAG1cLBZWTeVSq2PsVk3lEmXkDZPN1voeafpWL0jaWlePbq/iTHedY7mp275n/nBM172/RqW1EZ06OEddcz2qCUW1cJNfgUhik3WTeQ8AgNbl7G49WmzZdnhurgZkZVsdAwAAAADQDLS+J9MAAAAAAAAAGqTWt0JmLGx1jN2KxULyV61UamZPq6MkVbimUv6ta5O2Xpdst3rle3f62nM/bNGaiqCePKmrCjP+f4rtfp3TE963esMyRcNB2Z3uPZ8MAGhT9i8oULe0dK2orrI6SoOd062H1REAAAAAAM2EzeoAAAAAAAAAAKwTCpQqFNhidYx6Cfo3KRwstzpGUjXVRNhAJKaPFlXogG4ZdYq2yWJGw6pevyTp6wIAWr5gIKCchQutjtFguW63ju5YZHUMAAAAAEAzQdkWAAAAAAAAaKPMWFQ1vuVWx2iQmsplMs2Y1TGSxr91XVLXi5lSNGbW+ZKkpVsCCkRMdcxw6pHpJTrp+SU6+plFuvTtVfpuTXVS9q7dvCYp6wAAWo9p06Zp8ODBeu+GmxTZuNHqOA1yXb8BctvtVscAAAAAADQTDqsDAAAAAAAAALBGMLBFZixkdYwGicWCCgW2yO1tZ3WUpIiG/Eld7/J3Vu9w7IM/9VZpbUSS9PpPZeqa49a1YwplGIbenFum2z5ep7uPKNLw4rSE9o6FgwldDwBouGA0qsW+Ss2rKFeJ369ANKpQLCa3zS6P3a6OKSkamJ2tXukZctiabgZPVVWVbrjhBj3++OPbj1U8/qRy77hNRhPmiNeBBe10RtduVscAAAAAADQjlG0BAAAAAACANsg0TQVrW9aEuV8FaktaTdk2Fklu2fnaMYXqlOWqc8xuMxQzt024ddoN3X1EkVJc2yb1De6QovNeW6FXZpdStgWAFiBmmpq6qUQfbVivueXlWlRZqXA9Jr57bHb1zcrU4KwcHVtUrH3y8mQYRqNk/PDDD3XRRRdp7dq1dY6Hfl6kmg8+UtoxRzXKvsmS5nDowb2GN9r3BwAAAADQMlG2BQAAAAAAANqgSLhK0UiN1THiEg1XKRKulsOZWDnUSpFITEuXlmnJvDJ5k7hupyyXeuXvuGKGe1u5tm877/airSR5HDYNLEzRjFVVCe9t2HncDACNpSwY1GurVuqFFcu1prbhP78Dsahml5VpdlmZnluxTL0zMnR2tx46qVNnpTudSclYWlqqK6+8Ui+++OIuz6l6ZZI8ew2To7B9UvZsDLcOHKyOKalWxwAAAAAANDM8/QQAAAAAAADaoJY61fZXwdqNcmT2tDrGDkKhqBYtKtWCBWVasqRKK1YEtG5dVCUlNpWVuVVVlapAIEfRaL6kPB3Tt1iX7d/4ubrmenbzqqlkDO+zOd2JLwIAqKMsGNR98+dp8ppVCsb2PMG2vhb7fLp5zo+6d/5cndm1m67pN0Apjvj+2tA0Tb355pu65JJLtHnz5t2eO2LIEN2070jdsGGtfOFwXPs1plM6d9EZXbtZHQMAAAAA0AxRtgUAAAAAAADaGNM0FQqWWh0jIaHAVqVk9Giyj3gOBCJauHCrFi4s1+LFVVq5MqD162MqKbGpvNytqqp0BQLZisXyJRX88rVnlYGcRs39q9wUh/oWeLWwxK+aUFSpv0y3DURimrvRrz4Fic/XdaU3zb0AQFvx8Yb1uv7HWdoSDDTaHjWRiP65dIk+2rBe4/caof3y6/fz61cbN27UJZdcorfffnu353m9Xt1111264oorZLfb1WFrF42d/qX80Wgi8ZPqqA4d9cCw4U32vy0AAAAAAC0LZVsAAAAAAACgjYlGaiUz/ul4Y8+6Tt9+P0/TP39OHTu2q/NaeblPo8acpc6dO+i//5kom82mnxet0P3j/62vv5mtqupatSvI1aGH7KsH77s67gymGVUsGpDdkVhJtLY2rAUL/r9Eu2pVUOvWxbR5s03l5R5VVaUrGMxRLJYnqf0vX4mIyWbbKre7TGlpVYqmN/yjwON1wb75uv79tbr5w7U6ZXCuJOnNeWXyBSI6Z3jHhNfP6NQv4TUAAFJ5KKhxc2brrbVrmmzP1TU1+sO0qTqvew/dOGDQHqfcmqap5557TldddZUqKip2e+6YMWP01FNPqUePHtuPjcjL00ujDtQ533yl6kgkGbeQkGM6FunRvfeRw2azOgoAAAAAoJkyTNM0rQ4BAAAAAAAAoOkEazepxrc07us3bS7V/mPO0eBBvTT51YfqvHbhxXfoo4+/1tQpz6pb1yJ99fWPGnvmddp3n0E6+8zjlJuTqXXrN2ne/KW6+47LErqP1Mzecnvzd/padXVI8+Zt0YIF5Vq6tFqrVwe1bp2pzZvtqqjwqKoqQ8FgjkwzV1IyijVR2Wxb5HaXKz29Sjk5ARUUxFRUZFOXLm717p2ufv2yNWBAvjye/y8wmaapL67YRxF/VUK7f7KkQuO/LNGjJ3RWr/xdF5Dnl9Tq+R+2aPGWbVMS+xZ4dfbwPPVvl5LQ/p6cQh143+cJrQEAkBb7KnX69Gkq8fsty9AzPUMv73+gOqbs/GfDqlWrdOGFF+rTTz/d7Trp6el68MEHdf7558u2ixLrvPJynfPNV9oUaLzpvXtyVtfuumfoUNkNirYAAAAAgF2jbAsAAAAAAAC0MTW+5QrWbkxojf+8+7n+dNFtGv/3a3Tu2cdLkt7/YJrO+dPNeuC+q3TeOSeqtjag4SNP0+CBvfTKC39P+scyf/eDoWefj2j9elNbtthVXu5VTc2vJdq8JO0Skc22RR5PuTIyqpSdHVT79r+WaD3q3Ttd/fvnqF+/PLlc9rh2+OGhP6ps0bdJymuNgqGHashfHrU6BgC0aHPKynTG19NUEQpZHUUdU1I0af/R6p6evv1YLBbTY489pptuukk1NbufzH700UfrySefVFFR0R73Kg8FNe6nOXprzeqEczdEgcejvw/dS4d3SHy6OwAAAACg9dv9Z8AAAAAAAAAAaHWi4eqE1zjhuIP13w+nadydE3XwQXsrLTVF11z/oMYcOELnnXOiJOmd97/Qpk2luvTxsUkv2kpSKJihyZMHxnu17PZfS7TVyskJ/VKitatrV4/69MlQ//456tUrRy5XoaTCZEavI6NTvxZfts3o1N/qCADQoi2oqNDY6V/KFw5bHUWStL62Vqd8NVX/GX2wilNT9fPPP+v888/XN998s9vr8vLy9Mgjj+i0006r98/+bJdbj47YR8d2LNL1s2dpcxNMuf19cSfdOWSosl3uRt8LAAAAANA6ULYFAAAAAAAA2phoNJiUde6/9yp9PWOOLrvyPuXlZikUDuuRCTdsf33Gtz9t2y8W01HHXawf5/yslBSPDjloH91526UqbJ/Y9Nmijju7j6Ds9i3yesuVkVGj3Nyg2rc3VVRkV/fuXvXuva1E27NnjhyOjpKsn2aXN3C0Vn3yrNUxEpI34ACrIwBAi7WqulqnN6Oi7a9K/H6d9tVUHfTTfD0wbpxCe5i4e9ppp+mRRx5Rfn5+XPsd3qGjRuTlacLChXp99SpVRZL//Riak6O/9u6nwzt0SPraAAAAAIDWzTBN07Q6BAAAAAAAAICmU77pW5lmJClrTfnsW5165rWSpCcevUWn/OF32187eezV+nzq98rMTNPZZx6nQw7aR8uXr9U99z2lrKx0fTnl30pJ8cS9d3m5qfseMraXaAcMyFX37tmy2ZI/Rbcxmaapb247RjUlK6yOEpfMroO0z42vWR0DAFqkqBnTCVO/0I9lpVZH2SX/d9+r/IHxu3y9Q4cOeuKJJ3Tcccclbc+aSFhvrVmj51cs08+VlQmt5bHbdWJxJ53drbsGZeckKSEAAAAAoK1hsi0AAAAAAADQxpiKJW2tQw/ZV8P36q/y8so6RVtJisW2vc//xOMO0e23/EWSdMCoYSooyNFZf7xJb779qc4649i4987Jceqpp/aNP3wzYRiGiseM1aJX77E6SlyKx4y1OgIAtFhPLV3SrIu2kuTdZ28FRo2U/+tvdnjtggsu0P3336+srKyk7pnqcOqsbt11Ztdu+qGsVF9uKtHc8nLNLS/XlmBgt9c6DEN9MjM1KCtbQ3JydHTHYmW5XEnNBwAAAABoeyjbAgAAAAAAAG2MIVtSC7dul1NOp3OH4zk5GZKkg8bsXef4wWP2lmEY+mneEp2VyMZGy5pguzuF+x6vJW89pFjIb3WUBnGmZqrd8COtjgEALdIyn0/3L5hvdYx6yTz/PAXnL1Dslymz3bp101NPPaWDDz64Ufc1DEMjcvM0IjdP0rZp8CUBv+ZXVKg8FFIwGlUkFpPHbpfHblfXtHT1ycyUx25v1FwAAAAAgLaHsi0AAAAAAADQ1hg2yWz8bfr17a63/vPZLl+32WwJrW8YiV3fnDhT0tVx5AlaO3WS1VEapOiAU2R3uq2OAQAtTsw0deWsmQrGkvfml8ZkS09X5gV/UsX4Cbriiit01113KTU1tclzGIahQm+KCr0pTb43AAAAAKBtaz1PowEAAAAAAADUi83WNB+lfPSRB8owDH32+bd1jk/5/DuZpqnhw/oltH5T3UdT6X7cZXJl5Fkdo948uR3U9aiLrI4BAC3SZyUb9WNZqdUxGsS77z56aepUPfTQQ5YUbQEAAAAAsBKTbQEAAAAAAIA2xuFMUzRS3ej79OrZWX/644l69rn/KC0tRYccvK+Wr1ire//+lAYN6KkTjkvso6ftzrQkJW0eXGnZ6nfm7Zrz+KVWR6mX/ufcI4eHshUAxOOF5cusjhCX2alenW51CAAAAAAALEDZFgAAAAAAAGhj7M40yd80e91751/VobBAL73yvp569k3l5GTqxOMP0a03XiiXy5nQ2o5WVraVpIIhh6hwn2O18bv3rI6yW0WjT1Nun32tjgEALdKq6mp9sanE6hhxeWvtGt0ycLAyXa1rujwAAAAAAHtimKZpWh0CAAAAAAAAQNOJhKvlK51jdYyEZeQOlcPZ+iarhqrLNeOO4xWs3GJ1lJ3y5hVpv3H/YaotAMTp7nk/6Ykli62OEbc7Bg3R+T17WR0DAAAAAIAmZbM6AAAAAAAAAICmZXekSDKsjpEYw/bLfbQ+rrRsDb3sSTk8zW9yrzMtW8Mu+ydFWwCIU8w09dqqVVbHSMirq1ZaHQEAAAAAgCbnsDoAAAAAAAAAgKZlGDY53TkKB0utjhI3lztHhtHCC8O7kdGpn4Ze9qR+fORCRYO1VseRJDm86drr8qeUWtjN6igA0GKtrK5WWSi4x/Nqv5iqiolPSE6nCh6ZIEd+fp3Xt467Q7EqnwomjJckBX6YJf83MxRetUqR9RukaFQdJr+207UjG0tU9cZkhRYuVNTnkz07R54Rw5V+0omypafvMdsiX6Wqw2GlOZ31uGMAAAAAAFoHJtsCAAAAAAAAbZAnpdDqCAlxt/D89ZHdcy/tdeUzcqRkWB1FrvRcjbjmBWV07m91FABo0eZVlDfsgnBYVZN2Xpr9rcD3MxVaukyOoiI5O3fe5XnRSp+23nSLQosWK/20U5V70w1KPeJw1U75TFvvuFtmLLbHvUxJ8ysqGnATAAAAAAC0fJRtAQAAAAAAgDbI4cqUze61OkZc7I4UOZzWF1CbQla3IRpx7YtKLexuWYb04r4acd1LSi/uY1kGAGgt5paXNeh895Ah8k+frvCqVbs9L/PPF6rdow8r56or5OzVc5fnBWbOVKyqSll/vlApY0bLPWCA0o49Rmm/P0GRVasUWbW6XrnmVjTsPgAAAAAAaOko2wIAAAAAAABtkGEY8qS0tzpGXNwphTIMw+oYTSa9Yy/te8ub6nrEBZLRdI90DZtD3Y+7VPvc+JpS23Vpsn0BoDWbW96wybZpJxwrW1q6fC+9stvzDFv9fj4YDse2/0xJqXPclpq67R9cznqt09D7AAAAAACgpaNsCwAAAAAAALRRLm87GYbd6hgNYhgOuT35VsdocnanWz1/f5X2uWFSk0y5TS/uq31vfkPdj7lENkf9ilcAgD1bWuVr0PmGx6u0k36v4JyfFJw3P+H9PSNGyJ6XJ98LLyq8dq1i/oCCCxeq+u135B6+l5xFRfVap6H3AQAAAABAS0fZFgAAAAAAAGijbDaHUtK7WR2jQVIyusuwOayOYZnMroO03y1vqd+Zdyi9qE/S11+82a/xX25U+9PvV3px8tcHgLauNhJt8DWphx8me7t28r30skzTTGh/W2qK8v52t8xIVFuuvEYlZ52j0nF3yNmzh3KuvrLe68RzHwAAAAAAtGSUbQEAAAAAAIA2zOUtkNOdbXWMenG6c+Xy5Fkdw3I2p0tFB56ifW99S3tf/4oK9zlWRgLTZ4ORmD5aXKFL316lv76zWp8sqdSzzz2fxMQAgF8FYw0vqRpOh9LHnqrw8hUKfDMjof1j1dUq+/sDMv21yrr8MuXeebsyL/iTQosWq+y++2VG65cvUM/zAAAAAABoLdruCAgAAAAAAAAAMgxDqRk9VLn1R5lm8y3OGIZDqRndZRiG1VGaDcMwlNV9qLK6D1WfsbfIt2q+fGsWyLd6oXyrF8i/de1Or0sp6KSMzgOU0bm/ImmFGnbI8aoKhOuc88wzz2jcuHFyOuMv8QIAdhTvTzHvqJGqefc9+Sa9Ks8+e8e9f/V/3lV41Sq1e2Ki7Nnb3mzj7tdXjo4dVHr7XfJ/NV0pY0bvcR07P48BAAAAAG0MZVsAAAAAAACgjbPZ3UrJ6K6ayiVWR9mllIzustldVsdotpwpGcrtN1K5/UZuPxYN+hUJ1ioWDkgyZHO65XCnyO721rn28KOP05tvvlnn2MaNG/X+++/r2CMPV9XaRfKtni/fmoUKVW5VNByUGQ3L5nDJ5nTLk9tBmb+Ud9M69JTNyX9PALArHrtd1ZFIg68zDEMZZ56u0jvvUe2nn8W9f3jVKtlzcrYXbX/l7N5j2+trdv5Gjf/ltvPhmQAAAACAtoWyLQAAAAAAAAC5vQWKRQPyV6+xOsoOvGld5PbmWx2jxbG7vTsUa3fmwgsvrFO2bZfm1FF9sxR49zZ9/tHNkmnucY31X70hSTLsTqUX9Va74Ueo46jfy5WWvYcrAaBtSXc64yrbSpJ70CC5Bw1S1eQ3Zc/NjWsNW3a2ovPmK1paJntuzvbjoSXb3nDz22O7k87kcwAAAABAG0PZFgAAAAAAAIAkyZNaLNOMKlCz3uoo23lSi+VNK7I6Rqt26KGHqnu3bsoObdKx/bK1d6dU2QxDUljac8+2DjMa3jYFd/V8LX/nEbUfcZSKx4xVRpeBMvjIcQBQv8wsbfT7474+48zTteX6GxWrrJSj+P9/Pka2bFF42XJJUrRkkyTJP+NbSZI9P1+uHt0lSalH/E7+r6ar9K67lXbC8bLn5Sq8Zq2q33xbtqxMeQ/Yv973AQAAAABAW0LZFgAAAAAAAICkbR9R7U3rIsOwN4sJt960zvKmFVsdo9WrXD5bDx2RL0/YldR1Y5GQNsz4jzbM+I+ye41Qv7PuUGq7rkndAwBamsHZ2fqsZGPc1zu7dZV31Ej5p39d53ho/gJVTHyizrHy8RMkSd4xo+W69GJJkqt7N+Xfe7eqJr8p36TXFPP5ZM/JkWf4Xko/+STZMzLqfR8AAAAAALQlhmnW4zPAAAAAAAAAALQpQf8m1fpWyDSjTb63YdiVktFdbm9Bk+/dlkSDfi39zwSt+fwlqQkeE9ucbvU84Qp1OuQsGTZ7o+8HAM3RJxs26I8zplsdI2EfHXyYBlK4BQAAAAC0IZRtAQAAAAAAAOxUNBpUbeVShUMVTban052t1IwestndTbZnW1S+dJbmP3eT/FuafoJxVvdh6n/uPUpt16XJ9wYAq5X4/drrg/esjpEQl82mxcefKBdvnAAAAAAAtCE2qwMAAAAAAAAAaJ7sdrfSsvsrNaOHDKNxCzWVlVWqCWYqLasfRdtGtuHbd/XD+HMsKdpKUsXyH/XdvaeofNmPluwPAFZq7/WqW1q61TESslduLkVbAAAAAECbQ9kWAAAAAAAAwC4ZhiF3Sntl5g+XN61L0ouwK1au0623P6Zh+56q8ROekWEYSV0fda2dOknzn71eZixqaY6Iv0qzJvxJpQu/tjQHAFjhzK7drI6QkLO6drc6AgAAAAAATc4wTdO0OgQAAAAAAACAlsE0TYVD5QrWblQ4WB7fGpI++fQbPfXsm5r65Uz9+ogyPT1d69atU0ZGxm/2iykaqZUZi8hUTDIlw7BJhk12h1c2mzMZt9UmrP/mbS147iarY9Rhc3q01xVPK7vnXlZHAYAmUxEKaa8P3lMgau0bH+JR4PHouyOPZrItAAAAAKDNcVgdAAAAAAAAAEDLYRiGXO4cudw5MmNRRSI1ioarFQlXKxqpViwa/KU8G5Nkk2EYstndsjvT5HCkbftPZ6o+/uxpfTH1+zprV1VV6fXXXtKZZ/z+N2vWaFs9d+dsdrfsjjQ5nGlyONPlcGUyHXcntsybpgXP32J1jB3EwgHNfvTP2ufG15Ra2LInPQJAfWW5XPpdbp7e2bzJ6igNdnqXbhRtAQAAAABtEpNtAQAAAAAAADS52bNna9iwYZIkm82mww/dT+ede6IOOWifhNa12d1yewvlTmnH1NtfhKrL9c3txynk22p1lF3K6DJIe1//smx25kMAaN1isZieeuop3fj4RHnHNb83QeyO3TA044ij1TElxeooAAAAAAA0OZ5cAgAAAAAAAGhyQ4cO1WGHHap+vdvpj+ecoOKi9klZNxYNyl+9Sv7q1XJ58uRNK5bd0bZLQYtevbdZF20lybdqrlZ/+m91PeICq6MAQKOZP3++LrzwQs2YMUOSZH45TSmjD7Q4Vf39pVdvirYAAAAAgDaLybYAAAAAAAAAmlw4VKlN6+coxdvYH0VtyJvWSZ7UIhmG0ch7NT+bZ0/RnCcuszpGvRgOp/a75S2ldehhdRQASKra2lrdddddevDBBxWJRLYfN9JSVTBhvOzZ2Ramq59e6Rn66JDD5LY39s9tAAAAAACaJ8q2AAAAAAAAAJqMaUZVW7VawdoNTbqv3ZGm1MyecjhTm3RfK0X81Zp+65HNfqrtb2V2HaS9b3i1TRajAcSnKhzW/IpyzS0v1+qaagWiUQVjMdkNQx67XblutwZmZWtQVrY6pqQ0+Z8vH3/8sS6++GKtWLFip6+79xqm3Buvb9JMDWWTofcOOkRDcnKsjgIAAAAAgGUcVgcAAAAAAAAA0DZEI7WqKl+oWDRgwd7V8pXOUUp6V3lSOzT5/lZY/83bLapoK0mVK+eqfMlM5fTe2+ooAJqpmGnqq82b9Oaa1ZpTVqYV1VWq71SZbJdLg7KydXD7Qp3cuYsyXa5Gy7lp0yZdeeWVmjRp0m7PC876Ue1Wr9WmzsWNliVRF/fuTdEWAAAAANDmMdkWAAAAAAAAQKOLhKtVVTZfphnZ88mNzJvWSZ7U4lY9PdU0TX097mjVblppdZQGa7fXERp80QSrYwBoZspDQb22apVeXLFcq2qqE17PY7frxOJOOqdbDw3Mzk5Cwm1isZieeeYZXXfddaqoqNjtud26ddMTTzyhkQcdpNO++lKzy8uSliNZDm7XXs+MHCWXzW51FAAAAAAALEXZFgAAAAAAAECj2la0nSfTjFodZTtParFS0jtbHaPRlC76VrMe+qPVMeJi2Bw68L7P5M4qsDoKgGagNhLR3xfM00srVigQa5yfI8Nzc3XPkGEakJVY6XbBggW66KKL9PXXX+/2PIfDoWuvvVa33nqrvF6vJKksGNQfpn2hxT5fQhmSaZ+8PL086kB5HXxQJgAAAAAANqsDAAAAAAAAAGi9opHaXybaNp+irSQFatbKX7PO6hiNZu3U3X9seXNmxiJaN32y1TEANAMztmzWoVM+1tPLljZa0VaSfigt1dGfT9FDCxcoHIs1+Hq/36+bb75ZQ4YM2WPRduTIkZo9e7buvffe7UVbScpxu/XGgWM0MMHCb7IcUNBOL446gKItAAAAAAC/oGwLAAAAAAAAoFGYZkxV5T/LNCNWR9kpf9UqhYMVVsdIukiwVlvmfG51jIRs/O59qyMAsFBtJKJb5/yoP0ybqtU1NU2yZ8Q0Nf7nBTr68ymaX1Fe7+s+/fRTDRw4UPfee68ikV3/vMvMzNQ///lPffXVVxowYMBOz8l1e/T6gaM1uqBdg/Mn0wnFnfT8yP2V6nBamgMAAAAAgObEME3TtDoEAAAAAAAAgNantmqlAjXrrY6xWzabW5l5Q2XYWs/kvvJlP2rm/WcktMYnSyo0/suSnb520sAcHdc/S+e8umKX1+9VlKp7jyxOKMNBD38vZ0p6QmsAaHk2+f06Y/o0/eyrtCyD07Dp0b330bFFu/5zbPPmzbrqqqv08ssv73G90047TRMmTFD79u3rtX/MNPXiiuW6e95c1Uab7g0r2S6X7hkyTMcVFcswjCbbFwAAAACAlqD1PEEGAAAAAAAA0GxEQr5mX7SVpFgsqNqqVUrN7GF1lKTxrV6QtLWuHt1exZnuOsdyUx3K8tr18HGddzj/m9VVev2nMo3qkpbw3lVrf1ZO770TXgdAy7G2pkanffWlVtVUW5ojbMZ08XffqiYS1mldutV5LRaL6dlnn9V1112n8vLdT8Dt2rWrHn/8cR1xxBEN2t9mGDqnew8d3L5QV8+aqa+3bG7wPTTUUR2L9Lchw5Tn8TT6XgAAAAAAtESUbQEAAAAAAAAklWlGVV251OoY9Rb0l8jlyZPTnWV1lKTwrUle2bZLtlu98r07fa1vux2PPztzi9wOQ2O6ZyS8t2/1Asq2QBuyye/XqV9N1eqaGqujSJJiMnXNrB/kstn1+07b3lywcOFC/fnPf9ZXX32122sdDoeuueYa3XrrrUpJSYk7Q3Fqql49YLQmr1mtp5Yu0cLKirjX2pURuXn6c8/e+l2HDkyzBQAAAABgNyjbAgAAAAAAAEiqYG2JYlG/1TEapLZqhTJcQ1tF0SiZk20bYoMvpHkba3Vor0yluuwJr5fM0jCA5q0qHNbp06c1m6Ltr0xJV/zwvVIkff3U0/r73/+ucDi822v23Xdf/etf/9LAgQOTksFmGDqlcxed3KmzZpWV6vkVy/X+urUKxWJxr5lid+ikTp11dvfu6peZlZScAAAAAAC0dpRtAQAAAAAAACSNaZoK1G60OkaDRSO1ioR9croyrY6SMP+WdUlbK2ZK0ZhZ55jdtvNC8seLK2VKOrJ3cr6HtZvXJmUdAM3fXXN/0iJfpdUxdipqmvrT55+p5B//UGw3RdvMzEzdd999uvDCC2Wz2ZKewzAMDc/N0/DcPN0+aLA+LynRvPJyza0o1/yKcvmj0V1em+5wakB2lgZlZWtwdo4Obl+odKcz6RkBAAAAAGjNKNsCAAAAAAAASJpwqEKxaMDqGHEJ1m5s8WVb0zQVCyfv+3/5O6t3OPbBn3rvULiNxkxNWVqp4iyX+reP/yPTfyuZ9wGg+fpyU4leXrXC6hi7l56mzPPPU/mEf+z05VNOOUUPP/ywCgsLmyROrtujkzt30cmdu0iSomZMy6uqVOIPKBCNKmzG5LLZ5LHb1dGboi5pabK1gsntAAAAAABYibItAAAAAAAAgKQJtsCptr8KBUoVi4Zks7usjhK3WCSU1PWuHVOoTll1vx87m2z7w7oaba2J6Px98pO2dywcTNpaAJqnqnBY18z6weoY9eIdNVL+b2Yo8N3324917txZjz/+uI466igLk0l2w6ZeGZnqldGy3zACAAAAAEBzRtkWAAAAAAAAQFLEokGFg2VWx0iAqaB/k7xpxVYH2aNYzNTKlRVavLhcy5dXadWqWq1fH9Kmkqhu7JW8fTpludQr37vH8z5eXCGHTTqsZ/KKXoadx9dAa3f3vJ+0wV9rdYx6y7zwfAUXLJTN79fVV1+tcePGKTU11epYAAAAAACgCfC0EgAAAAAAAEBShEOVVkdIWDhUIa+sKduWlfm1eHGZli6t1IoVNVqzJqCNG6PaskUqK3PI5/OotjZNwWCmYrE8Sdm/fNV1TXennPZwk+Wu8Ef03Zpq7ds5XVne5D1ytrs8SVsLQPOzobZWk1attDpGg9gzM9XnvD9q0nl/0uDBg62OAwAAAAAAmhBlWwAAAAAAAABJEQlXJ3T92LOu07ffz9P0z59Tx47t6rxWXu7TqDFnqXPnDjpw/7304ITnd7nOU0/cpt+fcGhcGaLhGpmmKcMw4rr+t0KhqJYvL9eSJRVavrxKq1f7tX59WCUlpkpLbaqocKu6OkWBQIYikWxJGZI6/vIVvwp/rvLTShLOX1+fLq1UJCYd0Tu5H1/uSs9J6noAmpdXVq1Q1DStjtFgqb87TAMGDbQ6BgAAAAAAaGKUbQEAAAAAAAAkRTTBsu3D46/X/mPO0eVX/12TX32ozmvX3zxB1dV+TfzHzXK7XTr0kP12uP7Ka+7XqlXrdchB+8SdwTQjikWDsjt2nKoai5navLlGixaVadkyn1aurNG6daFfps8aKi93yOfzqrY2XaFQlkwzR1LeL1/JEpLNViq3u0IpKTXKzAwoOzuidu2kDh0cKi52K8NfLJU2Xdn248WVyk91aK+i5H6Uekbn/kldD0DzEY7F9PLKFVbHiMsGv1+fbdyowzsk9sYIAAAAAADQslC2BQAAAAAAAJAw0zQVidQktEa7glw9cN9V+tNFt+m5F97RuWcfL0l6/4NpevPtKXrgvqvUrWuRJKljh4I6165Zu1GLFq/UH35/mDIz0xPK8bd7v9N/PzRVWmpXZaVbNTUpCgYzFYnkSkr75St5DKNMTme5vN4qpaX5lZ0dUl6eqfbtbSoqcqpr11R1756uPn1yVFycIZutUFLhLtdb/v4+Wv7uzKRm3JUFm2q1tiKkM4blypaEacC/ldGJsi3QWn20Yb02BwJWx4jb8yuWU7YFAAAAAKCNoWwLAAAAAAAAIGGxaEAyowmvc8JxB+u/H07TuDsn6uCD9lZaaoquuf5BjTlwhM4758RdXvfypP/KNE2ddfoxCWcIBjrr22+7JLCCX3Z7qTyeSqWm1igzM6icnOgv02ed6tTJo27d0tSzZ6b69MlVSkqOpJyEc/8qGSXVw3tl6fBeWXs8r3+7FH18QZ+E99sZJtsCrdcbq1dZHSEhUzeVaJPfr3Zer9VRAAAAAABAE6FsCwAAAAAAACBhphlJ2lr333uVvp4xR5ddeZ/ycrMUCof1yIQbdnl+LBbTpNc+VLeuRRo1cmjC+2ek/29pOCbDKJXLVSGvt1rp6X7l5ISVn2+qsNCmoiK3unRJUY8eGerTJ0ft26fJZiuSVJRwlni0hpKqMz1H7uz2VscA0AhM09SPZaV7PK/2i6mqmPiE5HSq4JEJcuTn13l967g7FKvyqWDCeElS4IdZ8n8zQ+FVqxRZv0GKRtVh8ms7rOt77Q1VvzF5l/tmX/FXefcftcd8c8rL9Dsv020BAAAAAGgrKNsCAAAAAAAASJhpxpK2VnZ2hh4Zf4NOPfNaSdITj96ijh0Kdnn+F1Nnav2Gzbr1pouSsv/QoRv14IM+deuWpl69stSzZ45crnxJ+Xu8tjlwZ+YrvVM/Va1ZaHWUuOUPHCPDMKyOAaARrK+tVXkoVP8LwmFVTXpN2X+9dLenBb6fqdDSZXJ27SLD4VR4xYqdnpd66MHyDB28w/GKJ/+laMkmuYcOqVesueXl+l0HyrYAAAAAALQVlG0BAAAAAAAANDuHHrKvhu/VX+XllTrlD7/b7bkvTXpfDoddY089Mil777tvgQ49oldS1rJK8ZixWvjCrVbHiFvxmLFWRwDQSOZWlDfofPeQIfJPn660446Rs0uXXZ6X+ecLZdhskqSKp5/dZdnWnpsre25unWORzZsVWbtO3gP2ly01tV65GnofAAAAAACgZbNZHQAAAAAAAABAy2c0wqNGt8spp9O523NKSyv00Sdf67BD9lO7gtzdnltfhtHyH5sWjjhaDm+61THiktF5gDK7DLA6BoBGMre8YSXVtBOOlS0tXb6XXtnteb8WbeNR+/lUyTSVcsjB9b5mXnm5TNOMe08AAAAAANCytPynxgAAAAAAAACsZ1FB9fXJHysUCuusM45J2pqtoWxrd3vVYeSJVseIC1NtgdZteXVVg843PF6lnfR7Bef8pOC8+UnPY8Zi8k+dKnv79nL371fv67YEA6qKhJOeBwAAAAAANE8t/6kxAAAAAAAAAMvZHV5JRpPv+9Kk/6p9+zwdevC+SVvT5khJ2lpWKh4zVobNbnWMBnGm56j98COtjgGgEQUikQZfk3r4YbK3ayffSy8nfZps8Ke5im4tVcohBzX4Wn8kmtQsAAAAAACg+aJsCwAAAAAAACBhhmGTvYlLqj/8uECLFq/U2FOOlN2evFKpw5mWtLWslNqui7r87nyrYzRI39Nult3ttToGgEYUiMUafI3hdCh97KkKL1+hwDczkpqn9rPPJbtdKWPGNPjaQJSyLQAAAAAAbQVlWwAAAAAAAABJ0dQl1Zdf+a8Mw9CZpx+TxFWNJi8NN6bux1ystA49rY5RLwXDDlc7ptoCrZ7diG8KunfUSDm7dZVv0qsy45iOuzNRn0+BH2bJM2yo7NlZDb7eYWv6ie4AAAAAAMAalG0BAAAAAAAAJIU9yWXbd996VF9PfWGXr0948Dpt3TBNXTp3SNqedmeqDKP1PDa1OV0a8Me/ybAlb/JvY3CmZavv6eNkxFnCA9ByeOKcRG4YhjLOPF3Rkk2q/fSzpGTxf/mVFIko5ZCD47o+3nsBAAAAAAAtT+t5agwAAAAAAADAUg5nutUREtYa7uF/ZXTur65HXmh1jN3qe/o4uTNyrY4BoAlkuVxxX+seNEjuQYNUNflNmYFAwllqP/9ctpxsuYcObfC1NhlKczgTzgAAAAAAAFoGyrYAAAAAAAAAksLuSJXdkWp1jIS4ve2sjtAouh97idqPOMrqGDvV4/jL1X74EVbHANBE+mdmJXR9xpmnK+bzKbxiRZ3jkS1b5J/xrfwzvlW0ZJMkbf91aNnyHdYJLVmqyNp1ShkzRoa94X9d1isjQ24m2wIAAAAA0GY4rA4AAAAAAAAAoHUwDEPulELV+pZZHSUuDme6HM40q2M0CsNm14A/3qdo0K8tc7+wOs52XQ4/T12PusjqGACa0KDs7ISud3brKu+okfJP/7rO8dD8BaqY+ESdY+XjJ0iSvGNGy3XpxXVeq/38C8kwlHLIQXHlGJjgfQAAAAAAgJbFME3TtDoEAAAAAAAAgNbBjEVVseV7mWbU6igNlprZS25vgdUxGlUsEtL8Z29QyQ8fWh1F3Y+7VN2OvliGYVgdBUATqomE1fudt9XS/3Lq7sFD9ccePa2OAQAAAAAAmkjDPxcHAAAAAAAAAHbBsNnl8razOkaDGYZDLk+e1TEanc3h0sDzH1DXIy6QDGseD9tcXvU76w51P+YSirZAG5TqcKpHeobVMRLGZFsAAAAAANoWyrYAAAAAAAAAksqT2lEy7FbHaBBvWrEMi8qnTc2w2dXz91dp7+tfVkq7rk26d3avERp52zsqOuCUJt0XQPNyYEHLe1PGb2U5XRqQRdkWAAAAAIC2pG08PQYAAAAAAADQZOx2t1LSm7bEmQiHM0PulA5Wx2hyWd2GaL9b31KXw89r9Cm3NqdHfcbeouFXPaeU/OJG3QtA83dmt25WR0jIqV26yGNvWW8qAQAAAAAAiaFsCwAAAAAAACDp3N52criyrI5RDzalZvaUYRhWB7GE3eVRrz9cq/3Gva2iA0+V3Z2S1PUr/BFNmr1Vq/ueqU4HnSHDxiNpAFKvjEztl59vdYy4ndWtu9URAAAAAABAEzNM0zStDgEAAAAAAACg9YlGA6rcOlsyo1ZH2aWU9K7ypHa0OkazEa6t0sZv39XaLyepZuPyuNeZX1Kr9xaW6+uV1QrHTA0fPlwzZ85MYlIALVl1dbUumPiYpvVoeRNuD2rXXi/tf6DVMQAAAAAAQBOjbAsAAAAAAACg0YQCW1VdscjqGDvldOcoLatvm51quzumaap282r5Vi+Qb81C+VbNV9WahYoEqnc415Weq4zO/ZTReYAyOvfX6ZfcoM+++WGH82bPnq0hQ4Y0QXoAzZVpmpo8ebKuuuoqrdu4Ue0ef1T23FyrYzXIcyP312GFHayOAQAAAAAAmhhlWwAAAAAAAACNKlBbolrfMqtj1OFwZSo9u58Mw251lBbDNE3FQgHFIkHFImHZHC7ZnG7ZnO46heWnn35aF1xwwQ7XX3zxxZo4cWJTRgbQjCxatEiXXnqpPvvss+3HPPvsrZxrr7YwVcMc3L5QL4zcnzdpAAAAAADQBlG2BQAAAAAAANDoAjUbVFu1wuoYkn4p2mb1lWFzWB2lVaqqqlJhYaFqamrqHM/MzNSGDRuUkpJiUTIAVqiurtbdd9+thx56SOFweIfXs6+8XN5RIy1I1jAZTqc+P+x3KvTyZxgAAAAAAG0RT5MBAAAAAAAANDpPagcZNodqKpdKsu79/053jtKy+sgwbJZlaO3S09M1duxYPf3003WOV1ZW6o033tCZY09V1brF8q1ZoKo1PytUVbZtYm4sKpvDJbvLo5T8YmV07q+Mzv3lze/EFEmgBTJNU5MnT9ZVV12ldevW7fK8ymeelXtAf9kyM5swXcPdPmgIRVsAAAAAANowJtsCAAAAAAAAaDKRcLVqKpcoGqlt2o0Nm1LSusidUkhxswl8//332meffbb/ul2aU0f1ydSYvu1UmCKZsWi913J405XRZYAK9zlO7YcfIbvL0xiRgRbBNE2tq63V3IpyzS0v05ZAQIFoVGHTlNtmk9tuV1FKigZmZWtwdo7yPdb8+7Jo0SJddtllmjJlyh7PHTNmjE69917dtWFtEySLz8Ht2uuFUQfw8wMAAAAAgDaMsi0AAAAAAACAJmWaMfmr1ypQs05NMeV2zk9LdMBBp8npYiJhUzFNU0OHDJazbIWO7ZetvTulypaEkpozNVMdRp2k4gNPVUpBpyQkBZq/qnBYb65ZpU82bNBPFeWqCIXqfW17r1dDsnN0bFGxjurYUS6bvRGTStXV1br77rv10EMPKRwO7/bcwsJCjR8/XqeddpoMw9CDC+drws8LGzVfPPpkZGry6DHKdrmtjgIAAAAAACxE2RYAAAAAAACAJSLhatX6VigS9jXK+iUlW/XQP17Qs8//R2+99ZZOOOGERtkHOypd9K1mPHalXKGKRtuj/fAj1fu0m+XOyG20PQAr/VxZoeeXL9eba1arNhpJeL08t1und+2mM7t2U8eU1CQk/H+maWry5Mm66qqrtG7dut2ea7fbdcUVV2jcuHHKyMios8Ztc+fomWVLk5otEV1S0/TW6IPUzuu1OgoAAAAAALAYZVsAAAAAAAAAloqEaxT0lyjo3yyZ0YTX+2r6LD3z3H/04cdfKRLZtt7QoUM1a9YsPgK8kUUCNVry5oNa9+WrTbKfMy1bfU+/Ve2HH9kk+wFNYVmVTzfN/lFfb9ncKOvbZOj44mLdMXiIct2ehNdbtGiRLrvsMk2ZMmWP544ZM0aPPfaY+vfvv9PXTdPU3+bP08QlixLOlag+GZl6Zf8DKdoCAAAAAABJlG0BAAAAAAAANBNmLKJgYIvCwQpFI9WKRYP1u9Cwy+FIlcOVIZsjW336Dtbq1at3OO29997TMcccs/O9TVMyYzIV27akbJJho5zbAGWLvtP8529WoHR9k+/dbtjv1Of0W5lyixYtasb01NKlemDBfAViib/xYE9yXG7dO3SYji0qjuv66upq3X333XrooYcUDod3e25hYaHGjx+v0047rV5/rv5r6WLdO2+ewmYsrmyJ2j+/QE/uu5+yXW5L9gcAAAAAAM0PZVsAAAAAAAAAzVIsFlY0XK1IuEamGZFpxiSZ24uwdkeKHM402eyeOuWtf/7zn/rzn/+8w3ojRozQd999JymmSLjml7WrFY1UKxqp3UkCY/sedmeaHI402Z2pMgxbo91zS7X2y1f18yt3ShY+bvbkFGqvK59VarsulmUA4rWsyqerfpipWWWlTb730R2LdO+QYcrz1G/KrWmamjx5sq666iqtW7dut+fa7XZdccUVGjdunDIyMhqUa2Flha76YabmVZQ36LpEpNgdumXgIJ3VrbtsvNkCAAAAAAD8BmVbAAAAAAAAAK1KMBhUjx49diiBDRrYS6+98oQK8j1SnNMSDcMul7dAnpRC2R0pyYjb4q386GktfWu81TEkSa70XO115TNKL+ptdRSg3qZtKtGfZnyj2mjEsgyFXq8m7T9aPfdQiF20aJEuu+wyTZkyZY9rjh49Wo899pgGDBgQd65wLKaJixfp4Z8XNvqU21H5BRq/1wgVp6Y26j4AAAAAAKBlomwLAAAAAAAAoNWZOHGiLr30UjmdDv3+hEN03jknavhe/ZO6h8OVKU9KoZzu3Hp9LHprtPqzF7X4tXutjlGHKz1XI657iQm3aBE+Wr9ef/l+hkKxxi2S1keOy61X9j9QA7Ozd3iturpad999tx566CGFw+HdrlNYWKjx48frtNNOS9qfjUt8lfrn0iX6z5o1CsSiSVnzV3vl5Oq8Hj11XFEx02wBAAAAAMAuUbYFAAAAAAAA0OoEAgEdfdQhuu3mCzSgf49G3cvhzFBqZk/ZHd5G3ae5KZn5geY+dbXVMXbKk1OofW56Q+6MXKujALv0eclG/fGb6Yo0o7+myXK59Pbog9QrI1OSZJqmJk+erKuuumqHaeH/y2636/LLL9dtt92mjD1MyI1XeSioN1av0vPLl2tVTXXc63jtdv2+uLPO7t5dA7J2LBcDAAAAAAD8L8q2AAAAAAAAAFoV04zJX71WtVVrZLM11ZRCm1LSO8ud0qFNTLkNlJfom9uPU8RfZXWUXWo37Hca/OeHrY4B7NSs0lKd8tVUBaLJndKaDO09Xr130CHyrVmjyy67TFOmTNnjNaNHj9Zjjz2mAQMGNEFCKWaamlNepp/KyjS3olxzy8u1xOdTTDv/K692Ho8GZmVrUHa2BmblaN/8PGU4XU2SFQAAAAAAtA6UbQEAAAAAAAC0GtFIraorFikaqbVkf4czQ6lZvWW3uy3ZvymYpqnZj16krfO/sjrKHg268CG1H36k1TGAOmojER065WOtrqmxOsoudais1E9/vkThcHi35xUWFmr8+PE67bTTLH+jgT8S0draGgWjMQWiUTlshjx2u3LdbhV42tbkcQAAAAAAkHwOqwMAAAAAAAAAQDJEwlWqKlsg04xYmMGnqtK5Ss8ZILujdZa7Nnzzdoso2krSz6/cpexee8udkWt1FGC7++bPa9ZFW0nakJkp54EHKPzZ5zt93W636/LLL9dtt92mjIyMJk63c16HQ70yMq2OAQAAAAAAWimb1QEAAAAAAAAAIFHhkE++svmWFm1/FYsF5Suba9l03cYUrNyixa/fZ3WMegtXl2vRq3dbHQPY7tstW/TM8qVWx6iXjHPOkj1vx6L66NGjNWfOHI0fP77ZFG0BAAAAAAAaG2VbAAAAAAAAAC1aJFyj6vIFkhm1Osp2ZiwsX9l8RSMBq6Mk1dqpryjir7I6RoNs+uEj1WxaZXUMQIFoVFfPmml1jHqzpaQo86ILtv+6sLBQL7/8sr744gsNGDDAwmQAAAAAAABNj7ItAAAAAAAAgBYrFgurqnyBzGZUtP2VGQupumKhTDNmdZSkiEVCWvfVZKtjxGXdtNesjgDonbVrtKqm2uoYDeIZOlTuXj111VVXadGiRTr99NNlGIbVsQAAAAAAAJocZVsAAAAAAAAALVatb4XMWMjqGLsUjdTKX73a6hhJsXnOZwr5tlodIy7rv35b0aDf6hho455fsczqCHEZ+9hjGj9+vDIyMqyOAgAAAAAAYBnKtgAAAAAAAABapFCgVKHAFqtj7FGgZr0iIZ/VMRK2duokqyPELVJbqZIfPrQ6BtqwOWVl+qm83OoYcZlWXaXyUNDqGAAAAAAAAJaibAsAAAAAAACgxYnFwqrxtZwpkdWVS2WaMatjxC1QtlHlS2ZaHSMhG797z+oIaMNa6lRbSQrEonp91SqrYwAAAAAAAFjKYXUAAAAAAAAAAGgof9VqmbGw1THqLRb1K1CzTt60TlZHiUvlqnkJr/HJkgqN/7Jkp6+dNDBHF+5boFA0pnfml+vTpZUqqQrL67SpR65Hpw/LVf92KQnt71s1X2YsJsPGDAo0rWA0qnfXrrU6RkLeWLNKF/XqbXUMAAAAAAAAy1C2BQAAAAAAANCixGIRBQObrY7RYIHaEnlSi2QYLa/s6Vu9MGlrXT26vYoz3XWO5aZue1T98LQSfbHcp1MH52pIhxRVBaN67acyXfveGj10XGf1KfDGvW8kUK3aLWuU2q5LIvGBBvu5slKBWHSP59V+MVUVE5+QnE4VPDJBjvz8Oq9vHXeHYlU+FUwYL0kK/DBL/m9mKLxqlSLrN0jRqDpMfm2X64fXrFHV65MVWrhQsVq/7NnZcg8boqwLzt9jtsWVPtVGIkpx8NdKAAAAAACgbeKpCAAAAAAAAIAWJeTfLJkxq2M0mBkLKRwsk8uTZ3WUBvOtWZC0tbpku9Urf8fSbCga0xfLfTqoe4bOHfH/JcN+7VN0+svL9MUyX0JlW0nyrV5A2RZNbm5FWcMuCIdVNek1Zf/10t2eFvh+pkJLl8nZtYsMh1PhFSt2eW5w/nyV3ft3ufr2UeaFF8iWnq7o1q0Kr1xVr0gxmVpQUaEReS3vzy8AAAAAAIBkoGwLAAAAAAAAoMUwTVOB2o1Wx4hboHZjiyvbmqYp3+rklW13xWYYshlSiqvu5N9Up002Q3LajYT38K1ZqMK9j054HaAh5pWXN+h895Ah8k+frrTjjpGzS5ddnpf55wtl2Lb9+1Lx9LO7LNvGgkGV/+MxuQYMUM6N18kwfvPv0ugD651rbkUZZVsAAAAAANBmtbzPKwMAAAAAAADQZkVClYpF/VbHiFskVKlopNbqGA0S8VcrXN2wsuDuxEwpGjPrfEmSw2bomH7ZmrLUp29WVakmFFVJVUgTvipRisumI/tkJbx37abVCa8BNNRPDSzbpp1wrGxp6fK99Mpuz/u1aLsngRnfKlZerrTjj61btG2ght4HAAAAAABAa8JkWwAAAAAAAAAtRijYwI9jb4ZCwTJ5HSlWx6i3WDiQ1PUuf2fHwusHf+otu83Qn/ctUKrLprumrNcvHVwVpDl0/9Gd1DHTlfDesUgw4TWAhlpRXdWg8w2PV2kn/V6+fz+n4Lz5cg8ckND+oYU/b/uHWExbbxmn0LJlMtweeYYMVsY5Z8mek1OvdVZWVyeUAwAAAAAAoCWjbAsAAAAAAACgxYiGEyt7jT3rOn37/TxN//w5dezYrs5r5eU+jRpzljp37qD//meiVq3eoPvH/1vfzJij0rIKtW+XpyN/t7+uuvxs5eRkJnAPNQndQ1Px+YJas8an9UuWK/5ZmDu6dkyhOmXVLc7abdt2mDS7VJPnlunMYXka0N6r2nBM7y4o140frNW9RxarR54nob1joeQWh4E9MU1TgWi0wdelHn6Yaj74UL6XXlbeffcmNJE2WrbtTQplDz6k1EMPUfpppyiyYaOqJr2mrePuUP74+2Vzu/e4jj8aiTsDAAAAAABAS0fZFgAAAAAAAECLYJqmIpHEiqoPj79e+485R5df/XdNfvWhOq9df/MEVVf7NfEfN6usrFK/O/rPSk9P0Y3Xn6+iju00b94S3ffgs5r+zWx9/vHTstXzI9z/VyTBwnB9BAIRrV9fpfXrq7VxY602bvRr8+agtmwJq6wsqooKU5WVUlWVXTU1Dvn9LgWDHoVCKYpE0mSa6ZI8kvKVlxrVy6cnL1unLJd65Xt3OL6mPKgXZm3Vn/bJ18mDcrcfH1GcpgveWKF/frtZDxzTKaG9DTuPxNG0wmZMZhzXGU6H0seeqoqHH1HgmxnyjhoZf4hfxkR7R+6njLPOkCS5BwyQLStL5fc/KP9X05V66CF7XCYYjcWfAQAAAAAAoIXjySIAAAAAAACAFiEW9UtmwydE/la7glw9cN9V+tNFt+m5F97RuWcfL0l6/4NpevPtKXrgvqvUrWuRXnz5PZWVV+rpf96u0QcMlyQdMGqYgqGw7v7bvzR/wTINGtgr7vswYxEZtp0/no3FTJWUVGv9+mqtW1etkpJtRdnNm0MqK4uqvDymigqpqsqmmhq7amtdCgTcCoW8CofTFIulSUqXlP3LV2KCkT1PvEyGFWVBmZJ6/08R12Ez1C3Xo3kbaxPew+ZKbDIu0FD2BCbSekeNVM2778k36VV59tk77nVs6WmSJPeQwXWOe4YMlgxD4ZUr67WOI4F7AQAAAAAAaOko2wIAAAAAAABoESLhxKba/uqE4w7Wfz+cpnF3TtTBB+2ttNQUXXP9gxpz4Aidd86JkiSHc9uj04xfSmq/ysz8pbTmdiWU4Zyzv9bXM+yqrXXK73crGPQqEklRNJom08zQtrJsekJ7NFxMUpXs9io5nTVyuQLyeIJKT6tVJGaXw5ZY0XlPclO2fc9/3uTXoMKU7cdD0ZiWbQ0oLzXxx9mutMTLx0BD2A2bnIZNYbPhU2ENw1DGmaer9M57VPvpZ3FncHTuJH39zW42qt+UbrfdHncGAAAAAACAlo6yLQAAAAAAAIAWwYyFkrbW/fdepa9nzNFlV96nvNwshcJhPTLhhu2vH33EAbqvYzuNu+MxPXDf1Soqaqe5c5foH4++rCMOH6XevboktH9lZX+tWJGX4F38rxrZbD45HLVyuWrl8QTk9YaVmhpRRkZMmZlSVpahvDyH8vKcKihwq7DQqw4dUtWxY5o6dEiXw5EpKXOHlWfc3VtVaxYmOW9d/dt71Svfo5d+3KpgNKaB7VNUE4rpnQXlKqkK67oxhQnvkdGpXxKSAg2T7XZpcyAQ17XuQYPkHjRIVZPflD03N641PPvsrapJryk4e468v5mQG5g9RzJNuXr1rNc6Wa7E3mQAAAAAAADQklG2BQAAAAAAANAimHFMhtyV7OwMPTL+Bp165rWSpCcevUUdOxRsfz0jI00f//dJnXv+rRo15uztx48/9iA98egtCe/v9f7vlNiQDKNSDkeNnM5aud0Beb0hpaaGlZ4eVUbGtqJsbq5dubkOFRS41b69R4WFKSouTlfHjulKSUmVlJpwtp3J7Dyg0cu2NsPQfUcV642fyvTViipNnlsmr9OmTllu3X1EkUYUp+15kT3I6Nw/CUmBhumfmaXNgZK4r88483Rtuf5GxSor5Sgu2n48smWLwsuWS5KiJZskSf4Z30qS7Pn5cvXoLklyduyo1CMOV83Hn8jweuQZOkSRDRvle/U1Obt2kXe//eqVY0BWVtz3AAAAAAAA0NJRtgUAAAAAAADQQphJXe3QQ/bV8L36q7y8Uqf84Xd1XquoqNKZ594kvz+gf04cp44dCvTz4hV6cMLzOuOcG/TqS/fL4Yj/8er556/T2efWqKgoTUVF6crK8shmy5eUn+BdNY6Mzv2lrxJb4/BeWTq8V9Zuz0l12XXuiHydO6IRvg+GTelFfZK/LrAHg7Kz9cWm+Mu2zm5d5R01Uv7pX9c5Hpq/QBUTn6hzrHz8BEmSd8xouS69ePvxjHPPlS0nV7Wffa6aDz+SLT1D3lEjlXH6WBnO+v1ZNig7J+57AAAAAAAAaOko2wIAAAAAAABoIWxJX9HtcsrpdO5w/B8TX9b8BUs1Z+Ybat8uT5K0376D1bNHZ53wh8v1xlufauwpR8a97wEHFMvtLdjzic1Ea5gIm1bYXXa31+oYaIMGZdWvpJpy0BilHDRmp69lX/FXZV/x13qf/78Mu03pJx6v9BOPr9f5OzMoKzvuawEAAAAAAFq65D+dBgAAAAAAAIBGYBhN9zhz/vylKmyfv71o+6uhQ7ZNRl20aEVC6zflvSRDWlFvuTOb59Td+sodcIDVEdBGDcxu+SXVTKdTnVNTrY4BAAAAAABgmZb1RBcAAAAAAABAm2Wze5psr/bt87Rh42Zt2LilzvGZPyyQJHUoTGwqbVPeSzLY7A51POAUq2MkpPjAU62OgDaqg9erHunpVsdIyAEF7WQYhtUxAAAAAAAALEPZFgAAAAAAAECL4HCmNdlefzr397LZbDrp1Cv16usf6auvf9S/npmsv1x6lwryc/SH3x+WwOqG7I6UpGVtKkUHnCzDZrc6Rlxy+x+glIJOVsdAG2UYhs7u1t3qGAk5u1sPqyMAAAAAAABYirItAAAAAAAAgBbBZnfJsLmaZK8hg3vr4/efVM8enXXP35/SqWdcq38+9YaOOHyUpnz4L+XmZsW9tt2ZKsNoeY9mPdntlD/kEKtjxKV4zFirI6CN+0OnLvK00MmwPdLTNTI/3+oYAAAAAAAAljJM0zStDgEAAAAAAAAA9VFVvlDhYJnVMRLi9rZXambLnBJZtvh7/TD+HKtjNIg3r1j73/1hi53Ki5avvLxct99+u14IBZVy6MFWx2mwuwYP1Xk9elodAwAAAAAAwFItb3wCAAAAAAAAgDbL4UyzOkLCWvI95PTeW4X7HGt1jAbpe8ZtFG1hiWg0qieffFI9e/bUI488ouoPP7I6UoOlOhz6Q+fOVscAAAAAAACwHGVbAAAAAAAAAC2Gy9PSP8rcJqcn1+oQCel96o1yZeRZHaNeOh5wsvL6j7I6BtqgL7/8UsOGDdNf/vIXlZaWSpIiq1er5uNPLE7WMDcPGKQMp8vqGAAAAAAAAJajbAsAAAAAAACgxbA7vHK4sqyOETeXN082m9PqGAlxpWWr35m3Wx1jjzzZher9h+usjoE2ZvXq1TrllFM0ZswYzZ07d4fXfS++rMjmzRYka7iR+QU6q1t3q2MAAAAAAAA0C5RtAQAAAAAAALQonpRCqyPErSVn/62CIYeocJ9jrY6xW/3OvksOb5rVMdBG1NbW6rbbblOfPn30xhtv7PI8MxBQ9b+eacJk8UmxOzR+r+GyGYbVUQAAAAAAAJoFyrYAAAAAAAAAWhSnO0c2m9vqGA1md6bJ4Uy3OkbS9DvzDmX13MvqGDvV57RblNd/lNUx0AaYpqlXX31VvXv31p133qlAILDb84855hjNef11nd3MJ8beMnCQOqVSVgcAAAAAAPgVZVsAAAAAAAAALYphGPKkdrQ6RoN5U4usjpBUdrdXQy95Qhmd+1sdpY4ex1+uTgefYXUMJMg0TYViUVWFw/KFQwrFojJN0+pYdcyePVujR4/W2LFjtW7dut2e26dPH3344Yd677331LNnT902aIj2zy9ooqQNc0637s2+DAwAAAAAANDUDLO5PZ0CAAAAAAAAgD0wTVNVZfMUCfusjlIvTneu0rL6yGiFH8kerq3S7Mf+oopls6yOol4nX68uh51rdQw0UCgW1eJKn+ZWlGluebnmlpdrsa9SwVisznkum029MjI0OCtHA7OzNSg7W30yMuW225s075YtW3TLLbfoqaee2mMBODMzU7fffrsuueQSOZ3OOq/VRMIa+9U0zSorbcy4DfL7Tp31j+F7y9YK/6wCAAAAAABIBGVbAAAAAAAAAC1SNOJX5dbZkmJ7PNdKhuFQZt4w2ewuq6M0mmjQr4Uv3aaN371nyf52T6r6nj5OHfY9zpL9EZ/lVVV6YcUyvbF6lSrD4bjWSHc49YfOnXV2t+7qlZGZ5IR1hcNhTZw4UbfffrsqKyt3e65hGDr//PN19913q6Bg1xNsq8Nh/XHG1/pmy+Zkx22wM7p009+GDZPd4EMRAQAAAAAA/hdlWwAAAAAAAAAtVqBmvWqrVlodY7dSM3vL7c23OkaT2Dx7iha+fIdCvq1Ntmdu35Hqd/Zd8uZ2aLI9Eb+YaeqTDRv0/IplmrZ5U1LX3i8/X+d066GjOnZMemH0448/1hVXXKFFixbt8dz9999fjzzyiIYOHVqvtQPRqK798Qe9tWZ1ojHjYpOhy/v21dV9+7fK6dsAAAAAAADJQNkWAAAAAAAAQItlmqaqyhcoEqqwOspOuTz5Ss3s1aYKbKHqci169V6VfP9+o+5j96Sq98nXqeP+J7ep729LtqKqSlfPmqnvSxu3jD00J0cT9tpbPTMyEl5r6dKluvrqq/Xee3ue2lxcXKwHHnhAp5xySly/Jz9cv043zJ6lrcFgPFHj0jM9Qw8NH6FhOblNticAAAAAAEBLRNkWAAAAAAAAQItmxiLylc9XNFxtdZQ6nK5spWX3ldFGP5K9bPH3WvP5S9ry0+cyY9GkretMz1HR/n9Q8ZjT5clul7R10Xhipqlnli3VfQvmKRBN3u+F3XHbbLqm3wBd1KtXXFNufT6f7rnnHk2YMEHhcHi353o8Hl133XW6/vrrlZKSEm9kSVJZMKhbf5qt/6xdk9A6e2KTob/06q2r+vWXx25v1L0AAAAAAABaA8q2AAAAAAAAAFq8WCysqrL5ikZqrI4iSXK4MpWe3U+GQYktUF6iddNe17qv3lDIF/9E0/UBt4645G61G3a4bE5XEhOiMa2vrdWl33/b6NNsd2VoTo4mjthXndPS6nV+LBbTCy+8oBtvvFElJSV7PP/kk0/WAw88oM6dOycatY5pm0r09LKl+rxko5L5lzhum03HFhXrgp69NCArO4krAwAAAAAAtG6UbQEAAAAAAAC0CrFYRNXlCxUJ+yzN4XTnKC2rT5udaLsrsUhYVesWybd6wfav6vVLZcYiO5zrjxr6eWO1lm4NaOnWgJZsCahGbpWXl8vhcFiQHvFYVuXT2K+maYO/1tIcBR6PJu0/Wn0yM3d73rfffqu//vWvmjlz5h7XHDx4sP7xj39o9OjRyYq5U2tqqvXSihWatGqlykLBuNfplJKqs7t116lduirH7U5iQgAAAAAAgLaBsi0AAAAAAACAVsM0Y/JXrVagdn2T7x2JRJWe1U2e1CIZhtHk+7dEsUhIEX+1oqGAzGhENqdbdpdbd9z7gO65994dzv/xxx81dOhQC5KioZb4KvWHaVNVGoy/IJpMWU6XXjtw9E6nuW7YsEE33HCDXnzxxT2uk5ubq7vvvlsXXHCB7Pamm1wdiEY1q7RU8yrKNLe8XHMryrWyunqn59oNQ73SMzQoO/uXrxwNyc6RjT+XAAAAAAAA4sYIAAAAAAAAAACthmHYlJLRVU5PrmoqlyoW9TfJvrPn/Kwrr31Q77z7kbqmUWirL5vDJVd6zg7H9z/ggJ2eP336dMq2LcCammqN/WpasynaSlJFOKTTp0/T26MPVvf0dElSIBDQhAkTdM8996impma319vtdl188cW6/fbblZOz4+/Zxuax2zWqoECjCgq2H/OFQ9oSCCoYiyoci8lls8lts6vQ65WXCdAAAAAAAABJxWRbAAAAAAAAAK2SaUblr1qjQO0GSY3zGLTWH9BDD7+gRya+omg0qpNPPlmvv/56o+zVllRWVio7O1v/+/j61FNP1auvvmpRKtSHPxLR7z77VMurq6yOslOdUlL1ySGH6bMPPtDVV1+tFStW7PGaQw89VA8//LD69+/fBAkBAAAAAADQHFG2BQAAAAAAANCqxaIhBf0lCtaWKBYLJWXNSNSm2+96RJNe+0AVFXVLhdOnT9eoUaOSsk9bNmTIEP300091jnXo0EHr1q2TYTA9uLm6/ac5emrZEqtj7Fb2gp+14Lbb93het27d9NBDD+m4447j9xwAAAAAAEAbZ7M6AAAAAAAAAAA0JpvdJW9aJ2Xmj1BaVl853dkyDHuD1zFsTjnduUrP7q/8DvsppqwdiraSdOWVVyoWiyUjepu2s8Lyhg0btHr1agvSoD6+37pFTzfzoq0klffvK9fAgbt8PTU1Vffee68WLFig448/nqItAAAAAAAAmGwLAAAAAAAAoO0xTVOxaFDRSLUi4SpFI7UyY1GZikkyZBg2GYZddkeqHM402Z1pstlcdUp3mzdvVs+ePeXz+XZY/8UXX9SZZ57ZhHfU+kyaNEmnn376DsdffPFFnXHGGYpFQoqFQ7I5nLI53RQiLeaPRHTYZ59oZXW11VHqJbJli7ZceY3MQKDO8bPOOkv33XefOnToYFEyAAAAAAAANEeUbQEAAAAAAAAgTvfff7+uv/76HY4XFRVp8eLFSklJsSBV67B27Vp16tRJmR67euZ51DPPox55Hg3tmqdUIyT9z6Ntd1aB0jv1U0an/sro3F+ZnfvLnVVgUfq258GF8zXh54VWx2iQ6nfele/FlyVJI0aM0COPPKJ9993X4lQAAAAAAABojijbAgAAAAAAAECcgsGg+vbtq5UrV+7w2p133qlbb73VglQtXywS1uafPtfr916mPrn2uNfJ6DJIxWPGqv3wI2R3eZKYEL8VjEY14sP3VRoMWh2lQWI1NTJvuU333Xmnzj77bNlsNqsjAQAAAAAAoJmibAsAAAAAAAAACZg8ebJOPvnkHY6npKRo6dKlO3wcvRmLKBKpUTRcrUi4RqYZkcyYTEmGYZNh2GV3eGV3psnhSJPN7mqiO7FesGKz1k57Xeu/el3Byi1JW9eZmqkOo05S8ZixSskrStq62ObtNat16czvrI4Rl7v6DdB5fftZHQMAAAAAAADNHGVbAAAAAAAAAEiAaZo68MADNX369B1eO/fcc/Xvf/9bkXC1grUlCocqFYv6G7S+YXPJ6cqQy9tOTleWDMNIVvRmwzRNrZv2mpZMfkDRYG2j7WM4nOp+7KXqcvh5stkdjbZPW3PC1M81s3Sr1THiMiArSx8dfFir/PcKAAAAAAAAycNnIgEAAAAAAABAAgzD0EMPPbTDcZfLqWrfem1Y/Y18pXMU9Jc0uGgrSWYspFBgq6rLF6hy6yz5a9YpFgsnI3qz4C9dr1kTztPPL9/RqEVbSTIjYS17e4K+v2+sqjcsbdS92oqFlRUttmgrSfMrKjS7vMzqGAAAAAAAAGjmKNsCAAAAAAAAQIJGjBihs846a/uvTzv5CP30w2T9c+I4edyxpO0Tiwbkr1qlis0zVVu1SqaZvLWtsP7rt/TN7cepbNG3Tbqvb/V8zbj7JK386Gnx4W+JmbJxg9UREvbJhpZ/DwAAAAAAAGhcfE4WAAAAAAAAACTBvffeq6+mfa577/qrfnfYyEbeLaZAzTqFg2VKzegphyu9kfdLLtM0teK/j2v5u49ZlyES1tK3xstful59x94qw8ZsinjMLS+v13m1X0xVxcQnJKdTBY9MkCM/v87rW8fdoViVTwUTxkuSAj/Mkv+bGQqvWqXI+g1SNKoOk1/bYd3I5s3afPFlO90z+4q/yrv/qD1mm1dRv3sAAAAAAABA20XZFgAAAAAAAAASZJqm8nOd+vrLF+VxO5ts32ikVr6yn+RJLZI3rZMMo/kXRk3T1NK3xmvVx89YHUWStO7LVxUN1mrAuX+jcBuHuQ0tqobDqpr0mrL/euluTwt8P1Ohpcvk7NpFhsOp8IoVuz0/9cgj5D2gbrHWUVhYr0hzy8tlmqYMw6jX+QAAAAAAAGh7KNsCAAAAAAAAQAJM01Rt1QoFazc2adH2twI16xQJ+ZSW3U82W/N+7Lvyg382m6LtrzZ++64cnlT1GXsrhcsGKAsGtb62tkHXuIcMkX/6dKUdd4ycXbrs8rzMP1+4vfxc8fSzeyzb2vPy5OrVq0FZflUWCmqDv1YdU1Ljuh4AAAAAAACtH2/TBwAAAAAAAIA4maapmsqlCtZutDqKImGfqsrmKRYLWx1ll0pmfqBl7/zD6hg7tXbqJK2e8rzVMVqUeQ2daisp7YRjZUtLl++lV3Z7XlNPGZ5XXtGk+wEAAAAAAKBlad4jDgAAAAAAAABAkioqpJ9+krZulQIBKRKRPB4pJUXq1Uvq2VNq4nKeaZqq9S1TKLC5SffdnWikRlVlC5SRM0BGM5twG6zcop9fudPqGLu17O0Jyh9woFILu1kdpUXYHAg0+BrD41XaSb+X79/PKThvvtwDByQlS/V/3pFv0iQZNruc3boq7fjj5BkxvN7Xbw76k5IDAAAAAAAArVPzetoKAAAAAAAAAJI0Z470ySfSrFnbvpYv3/356enS0KHSXntJ++wjHXvstiJuI/JXr1bQv6lR94hHNFKtqoqflZ49QIZhWB1H0rZi8s8v36FwTaXVUXYrFglp/vM3a+/rXpJhs1sdp9kLRqNxXZd6+GGq+eBD+V56WXn33ZvQ71PD6VTKoYfIPWigbNnZim7dqpoPP1LZ3x9Q5p8vVOqhh9RrnWA0FncGAAAAAAAAtH6UbQEAAAAAAAA0D4GA9MYb0uOPS99+27Brq6qkadO2fUlSVpZ07rnSX/6ybfJtkoVDlQrUrEv6uskSCVUqULNe3rQiq6NIkkpmfqDNcz6zOka9VK6Yo9VTnleXw8+zOkqzFzHjK6gaTofSx56qiocfUeCbGfKOGhl3Bnt2trL+fGGdY9799tXWG29W1cuTlHLQGBn2PRenwzHKtgAAAAAAANi1pv1cNQAAAAAAAAD4Xz6fdNNNUlGRdPbZDS/a7kxFhfTww1Lv3tJhh/1/CTcJzFhUNZVLk7ZeY/FXr1Y0Umt1DEUCNVo06W6rYzTIsv/8Q4Hy5je1uLlxJTD91ztqpJzduso36VWZkUgSU0mGwyHPyJGKVVUpsnFjva5x2/nrEgAAAAAAAOwaT48AAAAAAAAAWOfTT6WBA6W//U0qLW2cPaZMkUaPli69VKquTni52upVikUDSQjW2ExVVy6RaZqWptj43fsK11RYmqGhYpGQ1n31utUxmj1PPSbG7ophGMo483RFSzap9tPGmHps/rJP/f4aJJF7AQAAAAAAQOtH2RYAAAAAAABA0/P5pIsukg4/XFqzpmn2nDhRGjRImjo17iXCIZ+CtfWblNkcRMPVCtSut2x/0zS19stJlu2fiHXTXlcsErY6RrNWnJqa0PXuQYPkHjRIVZPflBlIXoHdjETk/3qGbBnpsrdvX69rilPSkrY/AAAAAAAAWh+H1QEAAAAAAAAAtDHz5knHHNN0JdvfWrlSOugg6cYbpXvukQyjQZcHatY1UrDGE6hZL09Kh3pP+EymyhVzVL1ucZPvmwwh31ZtnvOZ2g8/wuoozdaAzCzZZCim+KcnZ5x5urZcf6NilZVyFBdtPx7ZskXhZcslSdGSTZIk/4xvJUn2/Hy5enSXJFU+94IUjcjVu7dsWVmKlpaq5sOPFFm1SlmX/EWGvX6/7wdmZ8V9DwAAAAAAAGj9KNsCAAAAAAAAaDrffisddZRUXm5tjr/9TdqyRXrySameHx8fjQQUDpY1crDkM2NhhQJb5fYWNPnea6e2zKm2v1o7dRJl293wOhzqmZGuxT5f3Gs4u3WVd9RI+ad/Xed4aP4CVUx8os6x8vETtu07ZrRcl1687friYtV8OkW1X30t0++X4fXI1aOHcm65SZ4hg+uVoVNKqrJd7rjvAQAAAAAAAK2fYZpm/G85BwAAAAAAAID6+v576ZBDpOpqq5P8v3POkZ59VrLtefplbdWqFjnZVpIczgxl5A5q0j3NWExfXLmvIv6qJt032Q7+x0w5vGlWx2i2Lp/5nSavWW11jIQc3bFI/9p3pNUxAAAAAAAA0Iwx2RYAAAAAAABA41uwQDryyOZVtJWk55+XsrKkCRMkw9jlaaYZU7C2pOlyJVkk7FMkXC2Hs+lKo7Vb1iRctP1kSYXGf7nz7/tJA3N04b4FCkdNvTJ7qz5b6lNpbVg5KQ4d1D1DZwzLk9ux5xL1nvjWLFRO770TXqe1GpKd0+LLtkOyc6yOAAAAAAAAgGaOsi0AAAAAAACAxuX3SyedJJWVWZ1k5/7xD2mffaSxY3d5SjhYLtOMNGGo5AsFtjRp2da3ekHS1rp6dHsVZ7rrHMtN3fZ4+2+fr9fMtTU6Y1ieeuV79PMmvybNLtXq8pDu+F1RwntTtt29ozoW6fa5cxRpoR+iZ0g6tqjY6hgAAAAAAABo5hJ/Wz8AAAAAAAAA7M64cdLixVan2L1LL5U2bdrly5FwYhN5x551nbr2PlLr1++4R3m5T/0GH68jj/uLYrGYli1fo3P+dIu69TlSRV0P1WFHXagPP56e0P6SFAklNmW2oXxrFiZtrS7ZbvVt563zVZDm1M+b/Pp6VbXOHZ6v04bkaljHVJ0xLE9n7pWnb9dUa9a6moT3TmZpuDVq5/XqyI6Jl5qtckj7QhWnplodAwAAAAAAAM0cZVsAAAAAAAAAjWfGDGn8eKtT7FlZmfSXv0i7mM4ZTbBs+/D46+Ww23X51X/f4bXrb56g6mq/Jv7jZq1bv0lHHPsXLVu+RuP/fo2efepO5eVm6aw/3qR335+aUIZIpEZmE04frUpi2XZXFmyqlSSN6FS3LLnPL7+evjLxgjFl2z07p1t3qyPE7ZzuPayOAAAAAAAAgBaAsi0AAAAAAACAxuH3S3/84y4LrM3O229Lr766w2HTNBWJJFa2bVeQqwfuu0pffDlTz73wzvbj738wTW++PUW3j/uLunUt0j8efVl+f0BvTBqvE48/RIcfOlIvPfc39ezRSbfc9qhisVj8IcyoYtFAQvfREMHKLUlbK2ZK0ZhZ50uSIr98O1w2o875Ttu2R98ry4IJ7x3ybU14jdau4odZMkp2PRm6ueqUkqox7dpbHQMAAAAAAAAtgMPqAAAAAAAAAABaqX/9S1q82OoUDXPttdLJJ0uO/390asZCMmPhhJc+4biD9d8Pp2ncnRN18EF7Ky01Rddc/6DGHDhC551zoiTpu5nz1L9fD3UozN9+nd1u16EH76vH//maZs3+WSP26h93hki4WnaHN+F7kaRAIKKKioCqqkKqrAzK5wupujqsqqqwqqsj6rjVJ1dSdpIuf2f1Dsc++FNvdcratsOCTX61z/j/3X6deFsVjCa8dyyceGG3tdq4caOuuOIKvf766/KOPlDZl11idaQG+XOv3rIZxp5PBAAAAAAAQJtH2RYAAAAAAABA8pmm9PjjVqdouPXrpffek048cfuhaMSftOXvv/cqfT1jji678j7l5WYpFA7rkQk3bH89FA4r25W+w3Uul1OStHDh8oTKti+9uFCvTTYVDEqBgBQMGgqFDIVCNoVCNkUiNoXDdkUiDkUiDkWjDkWjLsViTsViTpmmW6bpluTWtsfLabvea6xd+bt+uUGuHVO4vVj7K7vN0IjiNHXIcOqZ77coy+tQ73yPft7s179nbpHNkJLRo4xFEy9atzbRaFRPPvmkbrrpJvl8PkmS/8tp8u4/Sp6hQ6wNV0/75uXrrG7drY4BAAAAAACAFoKyLQAAAAAAAIDk+/xzackSq1PE5/HH65RtTcWStnR2doYeGX+DTj3zWknSE4/eoo4dCra/3rtnF309Y7aqa2qVlpqy/fh338+TJJWVVya0/6pVnfXpp10SWqO+wtFkzbWVOmW51Ct/x4m8Truhu48o1gNTN+imD9dKkjwOQ38cka9XZpcqNyXxR+A2hzvhNVqTOXPm6KKLLtL333+/w2sVT/5LBQ89KNtvfu82R167XeP3GsFUWwAAAAAAANSbzeoAAAAAAAAAAFqhiROtThC/KVOkxYv//9dm8sq2knToIftq+F791b1bkU75w+/qvHb+eb+Xz1ejiy+7R6tWb9DmLWW69+9P6/sf5kuSbLbEHul6PA29l5ik6C9fZoOuDEabpqTaMdOlh4/vopdP764nT+qi187qqQO6ZagyENXAwsRLn1W1AY0dO1b33XefPvzwQ23cuFGm2bDvRWtQXV2tq6++WsOHD99p0VaSYqWl8j3/QhMna7ibBgxSl7QkjV0GAAAAAABAm8BkWwAAAAAAAADJVVIivfuu1SkS89RT0oMP/vKL5E+/dLuccjqdOxwffcBwPfrwjRp3+0Ttte+pkqTevbroxuv+pLv/9i8Vts9LaN9YrFJ2+3pFo6mS0iXZ93BFPOXeqAyjTJtrstU1J47L45SX6lRe6rbv6fMzt8jjMHRE78yE111f4der/3lVr7766vZj+fn5Gjx4sIYMGaLBgwdr8ODB6tOnz07/O20N3nnnHV122WVau3btbs/LzsrSP/fN1wubftaP7fo2UbqGGV3QTud272F1DAAAAAAAALQwlG0BAAAAAAAAJNfXX0vRqNUpEvPll9v/0TCa9gPCxp5ypE7+/WFavmKdnE6HunUt0oRHXpRhGNpvn8EJrV1Tk6NotGMDrwrLZiuVy1Upr7dG6ekBZWWFlZdnql07mzp2dKpTpxR17Zqmnj2z1LVrllyufC1/b28tf2/nE1CT6fWfSpXtdaggzaFyf1TTVvg0Y3W1rh1TuL18m4ilWwM7HNuyZYumTJmiKVOmbD/mcrnUv3//7eXbX4u42dnZCWewytq1a3XZZZfpnXfe2eO5p58+Vlcc0F7lP36oi0oX6qG9ztLinC6NH7IBhubk6Kn9RspmJL9ADwAAAAAAgNaNsi0AAAAAAACA5Jo1a4+nPCfpj7/88xeSxvzP66aknpKWSxotaaqkjZImSvpM0lJJoV/OuUjSn1R3RutUSQftYu8ZkvbdQ77onJ90/V+/1I/zTdltTr320p7uKLkcDod69+oiSfL5qvXCS+/pyN/tr+Li9gmtW17ulOSX3V4ml8unlJQaZWQElJ0dUV6e1L69XR07utS5c4q6dUtXr17ZKi7OkM3WXlLD9s7o3C+hrPUVipp6efZWba2JyG031KfAq/uP7qSBhSlJWX9nZdud5giFNHv2bM2ePbvO8eLi4h2m4Hbv3l02W9OWuBsiEonokUce0bhx41RTU7Pbc3v06KGJEyeqU/ksrfnsBUmSKxbR5T++oof2OlPLsjs1ReQ9GpSVrRdHHaBUR+ucPgwAAAAAAIDGRdkWAAAAAAAAQHLVo2z7q3RJz2jHsu2X2la0Tf/tspJekHS2pFslOSV9KOkvkr6V9OxO1r9XO5ZuB9Qjlz0S1mePZmiOhsrpjCkYnCG326zHlYnZsrVcE598VfuMGKi0tBQtXbZaj06cJJvN0P1/uyrh9e+826Yn/uWRzdZRUkMn3DZMRqf+Ca9xeK8sHd4ra7fnnDksT2cOy0t4r12pb9l2V9auXau1a9fq/fff334sNTVVgwYNqjMFd+DAgUpNTU00bsK+//57XXTRRZozZ85uz3M6nbrhhht00003qfTHD7Vg8gt1XvdGg7pm1gt6dMhpWpDXoxET79nAUIVeO+AEZbhcluYAAAAAAABAy0XZFgAAAAAAAEDymGaDyranSnpZ2ybWZvzm+DOS9pPk+82xUdpWwP3tXMrDtG3C7URJd0gq/p/1e2rPU2x3ZS/N0hwNVThs08KfUzR0yO4nfCaDw27X/PlLNenVD1Tpq1a7glwdecT+uvbKc5Wbm5Xw+gUF+TJsRuJB68GdVSB3VjsFKzY1yX6NIWoaSu/YS46KnxWJRJK2bk1NjWbM+D/27ju8qbp/4/g7SdN0L8reG9myBRWU4VbEgTgecU9QH/dPXDxuxS3iBCe492IIKFP23ntD6R5Js35/BJDRkaRJTgv367py0Z7zHXdqKTb5nM+ZzezZsw8dM5lMNGvW7JguuPXq1cNkCv9/s5ycHB555BFGjx6N11t2YXnv3r0ZM2YMrVq1wp61hzVfPFviOJvbyd0LP+eHpn34tXEvPGZLiePCxeT1cNbm2Qxa/ycFTeuS1O28iO4vIiIiIiIiIiLHDxXbioiIiIiIiIiISOjs2gX79/s9fAi+YtvxwC0HjuUA3wCvA68eNja1lDW64Su23c6xxbYV0YElhz5evDQxpMW2P377RonHU1OT+HrCyyHb53CWqDhMES52rNX1XLZMGhvRPUOpbrdzWPjeKIqLi1m1ahWLFy9myZIlhx77A/heL4/X62XdunWsW7eOr7/++tDxtLS0Q4W3BwtxTzrpJGw2W8j2/eqrr7j77rvZtWtXmWOrVavGqFGj+M9//oPJZMLr9bLyk0dxFeWVOifK6+aS9VPotHcVH7QdyI7EmiHJXZ5aBRncsOw7muVsB2D1+P+R1rIbtuTqEdlfRERERERERESOLyq2FRERERERERERkdDJyQloeBJwKfAh/xbbjgfM+LrevurHGn/ie6GzRQnn7gCuAOLwdcp9FDjV72z/9tVdsjTBz1mVlyUqPuJ71u89uEoX29bvMwSA6OjoQ8WuB3m9Xnbs2HGo8PZgIe66devwer2YoqOJatyI6CZNsDZpjLVRI0wJCZiiozGZzXidxXgdDlw7d+LcsInijRtxbtiIJyvriAyZmZlMnTqVqVOnHjoWFRXFSSeddEwX3OrVAysk3bhxI3fccQe///57uWOvv/56XnjhBapVq3bo2M5Z35Gx/G+/9mqcu5PHZ7/Dj0378FvjnrjN4Xl7wuJx02/LHAat/5Noz7/diJ0FOaz67Ek63PZGRDoFi4iIiIiIiIjI8cXkLe9+UCIiIiIiIiIiIiL+WrgQOncud9g44DpgHpAPnAEsB9rg61TbBhgLtAXSgWmlrDMROAe4Czi8H+wi4COgD1ANWA+8CKwFfgHO8uOp/NPwDL6/8lkaNoyjVctY2rbcTVWu0YtPboEttkbE913w2k3sXzEj4vtWVELdFpzy2PcBFWY63G6+3biBD1avYrXDjjeIbxjXvgyKpk+nYNIUPAF2zq1du/YRxbcdO3akefPmWCxHdjQuLi5m1KhRjBw5ErvdXuaaJ510EmPGjOH0008/4rjbUcRfD52BsyCwAnuAnOh4/q7bian1u5AZmxLw/JKk2HPps30+p29fSKqj9E67ne/5kGonnRKSPUVERERERERE5MShYlsREREREREREREJnQULoEuXcoeN499i285Ac+AiYCjQHvgLOI2yi20XAmfiK8z9E7CVs2c20A5IA5aUmxC49FL46qtDn+ZlrcDpyCpjQuVlMltJqd4Vk8kc8b33Lv6TxaPviPi+FXXSVY9Tv/cVfo3dXlDAJ5s2MH7zJvY7HCHZ3+v2YJ8/n8I/JuJYthyCfCk/NjaWtm3bHiq+NZlMvPnmm6xatarMeTExMYwYMYL777+f6OjoY87vmPktKz56JKhMB3kwsaR6C6bX68za1AYUWWMDmh/jstM8axunb19Ax31riPJ6yp1T4+R+dLztjWAji4iIiIiIiIjICSo892kSERERERERERGpyvLzYelS2L8fiorA7YaYGIiLgxYtoFEjqnSL03CKDaxYDsCEr/D2dcAOtMBXaFuWRUB/fEW6v1J+oS1ACnA+MAYoAspNetRzscXVrrLFtrbYmoYU2gJUb9+b+NpNKdi1wZD9g2FLrk7t7heUO87hdvPyqhW8vXYN7hD3tTBZzMR270Zs9244Vq0me/QY3Lt2BbxOUVER8+bNY968eX7PGTBgAKNHj6Zp06aljtk2bXzAWY5mxsvJ+9Zw8r41eDCxLy6VzUm12ZxUl+2JNbBbbDjNUXhNEO12YXMXUy9/L41ydtAodxc1CjMxE9jXfe/iP7Fn7SYmtVaF84uIiIiIiIiIyIlDxbYiIiIiIiIiIiIrV8LEib6urAsWwOrVZXeRTEuDTp2gc2fo0QPOPttXjCuQkBDUtKHAY/gKYZ8uZ+wioB/QEJgIJAewz8H/qn6VSsfHH/GpNToVs8WGxx2azqWRZIszrrDQZLbQdugzzH1uCPjRebQyaH3Nk0TFxJc5ZnFmJvfM/4e1eblhz2M7qRU1XnqB3PHjKfj1N/CE54Z1JpOJFi1a0Lx5c6ZNm0ZWVhZt2rQh9qjC85zNy8jdsjyke5vxUrMwk5qFmXTfvSKkax/B62H7X1/S7KLh4dtDRERERERERESOOyavN8SX24uIiIiIiIiIiFQFxcXw7bcwejT8/XfF1kpPhxtugFtugcaNQ5OvivK4XHhTUrAUFJQ5bhy+brbzgC4Hjj0ErAbeBmofONYWSAemHfh8MdAXqAf8CVQLIFsW0A6ojq9gt1xvvgl33HHEoaKCHRTlbQpgV+NZbWkkprY2Ogbrvn2ZTb+/Z3SMctU+5SLaXfdcqeddHg8vrVzB6LWrQ97N1h+1i+zUn/4Xa2fNZs2aNbjd7rDuZzabadWqFR06dDj0qLbpD7IW/R7WfcMpOimd05+fitmifiQiIiIiIiIiIuIfFduKiIiIiIiIiMiJJT8fXnwR3nkH9uwJ7domE5x7LowY4et4e4LYvHkzkydPZtKkSUyZMoWv9++nTzlzxnFssW1JDi+2XQP0wted9qMDxw/XFF8hLcCVQIMDa6cD64BRwAbgN3ydccs1e/Yx/x29Xg+5+xfjdhX6s4LxTGaSq3XCEmV852WPs5jZTw2iYNcGo6OUypZcnZ5P/IQ1vuR+yXa3m9vmzmbirp0RTnakdJuNz049naa2GFasWMGSJUuOeOTk5IR1/0+GNKVGgjWse4TbKY9+R2L9VkbHEBERERERERGRKkKXbYuIiIiIiIiIyIlj6lRfB9pNYepM6vXCL7/Ar7/CPffA//4HcXHh2ctAWVlZTJ06lUmTJjF58mTWr19/xPkFUG6xbTBmA/sPfHxBCefHAkMPfNwe+AIYA+QDacCpwCdAV382s1igQ4djDptMZuKTW5C7f3EAyY0Tl9i4UhTaApit0bS7/nn+eeFqPE670XGOZTLT5tqnSy20LXK5GDprBjP27Y1wsGNlOBxc9tc0Pjv1dLp06UKXLv+WrE+ZMoWbbrqJTWH6OZccYwmo0Hbi2mxGTd9d4rlL2qVxc48azNmSz18bc9mw38G2bAduL/xxU8mFsC6PlwmL9jNxbTaZhW5qJlq5sHUKF7VNC+h55G5ZoWJbERERERERERHxm4ptRURERERERETk+JefDw8+CKNHR2Y/rxdefhl++gnGjoVevSKzb5g4HA5mz559qLh2/vz5eDyeUscv8GPNofxbGFuW5UHMAXjowCNorVtDbGyJp6KsCcTE18desK0iO4RdVHQytthaRsc4QlLDNnS49VUWv3UnXo/L6DhHaHPt06S3Pa3Ec8UeNzfPnV0pCm0PynU6uWbG33zduw8nJaewd+9e7r33Xj799NNy5zZo0IDU1FTWrl1LUVFRQPs2Tw+uePve3rWon2w74li1eN9bFLM257F6bxFN02OwWkysyyi9GPuNGbuZsj6Xazun06J6DAu2F/D27L0UOj0MOfnoftely9mynLqnXhLUcxERERERERERkROPim1FREREREREROT4tnIlnH9++LrZlmXdOjjtNHj8cXjsMTCZIp8hCB6Ph+XLlx8qrv3rr78oLCz0e/6sMGaLmHIKpGMT6uN07Mft8v/rElEmC/FJzTFVwu+56u160+6ml1j2/v143U6j4wDQ6spHqdtzYKnn/2/RQv7cvStygfyU7Szmyr//4to9+xh5//1kZWWVOb5u3bq88cYbDBw4EJPJhNvtZt26dSxZsoQlS5awePFilixZws6dO0tdI9hi20apNlpUL7mA/e7Ta2E+8L365szdpRbbbs508MeaHIZ2rc5lHaoB0KFOPLkON+MX7ee8k1JJirH4lSd3y8ognoWIiIiIiIiIiJyoVGwrIiIiIiIiIiLHr3nz4JxzYP9+4zJ4vfDEE7BvH7z+OpjNxmUpw7Zt25g8eTKTJk1iypQp7N0bfAfPLcBkoF/I0hngxhvLPG0ymUlIbU3e/mV4PI4IhfKXicSUk7BEBVcUGQm1Op9FlC2OxW8Px+MsvYtpuJnMFtpc+zR1Trmo1DETd+5k/GYDivX9tNdhZ+TqlWUW2prNZoYNG8b//vc/EhMTDx23WCy0atWKVq1aMXjw4EPHMzIyjii+XbJkCStXrsTlctGkmq2kLSrE7GdR+KwteXiBAS2Sjzg+oEUKv63OYf72fM5sllzy5KPkb1+N1+PBVEl/JouIiIiIiIiISOWiYlsRERERERERETk+LVgAfftCXp7RSXzeegucThgzplJ0uM3JyWHatGmHuteuWbMmJOu2bduWfv36kRoXB888E5I1I65bN+jcudxhFksMiWltyM1chtdTOTq0gomElJZYbSlGBylXetvT6PbQ5ywf+zD520Pz/ReI2PR6tLn2adJadit1THZxMQ8tmh/BVMGJ7dGdop6nYJ81+5hzXbp04Z133qFTp05+r5eenk7fvn3p27fvoWMOh4NVq1ax7bOHIGdLwBk9XnB7vEccs5gD+1m4JctBcoyFtLgj39pokuYrAN6cVex/HlcxbqedKFtcQBlEREREREREROTEpGJbERERERERERE5/qxaBWedVXkKbQ96911ITYXnnov41k6nkzlz5hwqrv3nn39wu90VXrd27dr079+f/v3707dvX2rXru074XLBuHFQxu3oK63bbvN7qCUqjkXLs6iWlE/9erXCGMofZhJSWhEdk2ZwDv8l1T+JHv/3JRt/fYdNv76L1+OKyL71z7iK5hffQ1RMfJnjHl+yiD124zrvBiL5xuspXr4CT24uAImJiTz99NPcfvvtWCyWCq9vs9no2LEjjt9TyQmi2PauH46d8+sNLQMquM21u0m0HftcYqxmrGYTefbAfqZ5nA5Qsa2IiIiIiIiIiPhBxbYiIiIiIiIiInJ8sdth0CDYv9/oJCV7/nno2hUuuSSs23i9XlauXMnkyZOZNGkS06dPJz8/v8LrJiQk0KdPH/r370+/fv046aSTMJXUqTcqCm65BR5/vMJ7hosXINoKFjM4nJg8Hl8x9ODBfq+xY8cOBg++huhoMx+MeYJuXduFLW9ZzOZo4lNaYo1ONmT/ijBHRdPswmHU6NiXFR+NIG/bqrDtFVejAa2v+V+Z3WwP+nvvHr7eGnhRqVEsSUkkDf0P2a+/yaWXXsqrr75K3bp1Q76P1+MJat79fWrTICX6iGOBdraF0DYGD/a5iIiIiIiIiIjIiUfFtiIiIiIiIiIicnx5/HFYvdroFGW77Tbo3RvS00O67M6dO5k8efKhx65duyq8psVioXv37oeKa7t3747VavVv8rBhMGYMhCBHRXgBT/3auNu3xNWhJa72LXG3bY43NQnM5n8HOoqxFLmwFG8jypOAxZpAlDUek6nkrqBut5urrrqKjIwMAM4beCe33Xw5//fgjcTE2CLwzHxssTWJTWyM2Vy1X+5NatCaHiO+IXP1HLZNG8++JX/i9VS8+zJAtTanUr/3EKq3743J7F+X13fXrgnJ3pEU16snbww4i6vPOz9se1is0eUPKkGDlGhaVI+t0N5JMRY27Hccc9zu9OD0eEmMCayDr8Uaub+nIiIiIiIiIiJStVXtV19FREREREREREQON2cOvPSS0SnKt28f3HknTJhQoWXy8vKYPn36oe61K1euDEm8Vq1aHSqu7dOnD0lJScEtlJoK77wDF14YklyB8qQk4hh8Lo5rLsLTtH75E2zRuG3RuIv2UszeAwdNRMekY4urTZQ18Yguvv/73/+YPn36v/t5PLw1ZgITJ8/i5+/fJb1afIif0ZHM5mjikpsTbUsN6z6RZDKZqHbSKVQ76RTsWbvZ/vdX7Jn/OwV7NoHXG9Basen1qXFyX+qdPpj4mo0Cmrs5P5+pe3YHNKdSsFjY3bhReLewVaxgtiIapdqYtiGPzEIXaXH/vr2xKdNx4HxghcDmIAuHRURERERERETkxKNiWxEREREREREROT7Y7XDddVBVbgv+xRdw2WVwySV+T3G5XPzzzz+HimvnzJmDy+WqcJSaNWvSr1+/Q4969epVeM1DLrgArrkGPvkkdGuWw9W+Bfahgyge2A9iK9q50kuxfR/F9n1YouKxxdXGFludqVOnM3LkyBJntO/QlWYn9cfpyMBRuAuXM6+CGY5ktsRgi6tFTGwtTFW8m21ZYlJr0ezCYTS7cBguewG5W1eSt2UFOVtWYM/chcdpx+MsxhRlxWKNwZZSg6SGrUlq2JakBq2xxicHvfenmzYQWGlv5fHZpo3c1ao11sO7NodQXM3GsPzvsKxdnlMaJvLR/Awmrc1hcMdqh45PXJuDzWKiS70Ev9eKrd4Ac5SKbUVERERERERExD/H7yuxIiIiIiIiIiJyYnnvPVi92ugUgbn3Xhg4ECwl3/rc6/WyZs2aQ8W106ZNIzc3t8LbxsXF0bt3b/r160f//v1p27btER1bQ+6112DyZNi1K3x7AJ7EeIoevwPHVReEZX23q4DC3PUU5G7mtVeewVtCp9VGjRrx/vvvYzabscXWwBZbA5czH0fhbhz2veANvhjcakvDFlcba3RKeP97VUJRMfGktehKWouuYd/L7nYzYfOmsO8TLnvtdn7buYML6/nRzTkISQ3bhHzNPXlO1u4rAmBXrhOAvzf6ftbVTLTSorqvm26jNBtntUzmk4UZmM3QsnosC7YX8NvqbK7tkk5STMk/S0uS1LB1iJ+FiIiIiIiIiIgcz1RsKyIiIiIiIiIiVZ/XC2+9ZXSKwG3ZAr/+6uv+esCePXuYMmUKkyZNYvLkyWzfvr3C25jNZrp27XqouLZHjx7YbBXt+BqA1FQYPx7OOgscjrBsUdynG4UvPYCnbs2wrH84Ey7GvvcEH4xtz5NPjaGg0FckGBUVxRdffEFKSsoR46OsCUQlNyMusREuZz4uVz5uZz4uZz4et73kPcxWoqwJWKISfPOtiZgt6sIZCXP27SOruNjoGBXy247tVarYdsmuAkZN333Esaem7ASgf/Mk7usTe+j4sFNrkR4fxY8rssgqzKBmopXbTqnBRW3TAtrTEVuj4sFFREREREREROSEYfKW1H5BRERERERERESkKvnzT+jb1+gUQXH178/k//73UHHt0qVLQ7Ju8+bNDxXX9unTh9TU1JCsWyE//giDBoHbHbIlvTHRFP7vLhxXXxiyNQOxZetObr3zKf6Zt4yXXnqJe++9N6D5Xo8br9d1oEuuF5PJDCYLZrP6JBjltdUreWHF8nLHFU6dRvZbb4PVSo3XXyGqevUjzmc89iSevFxqvDIKAPv8BRTNmo1z82ZcO3aC202dr78odx/H0qXsH/k0ADU/fA9LUlK5cxrFJzDz7HPLHRcMr8fNn3d1w+0oDMv6kfLgL1uhRguGDBnC4MGDadiwodGRRERERERERESkEtMrtiIiIiIiIiIiUvWNHm10gqBFTZrEHZMmsbGC66Snp9O3b1/69+9Pv379Kmfh2IUXwpdfwpAhEILOod74WPI+eg5Xr04hCBechg3q8N2XrzD63R+55557Ap5vMlswYQlDMgnWsqyswCY4neSN/4LU4XeWOcz+zzyK163H2rgRpigrzo3l/633FNnJHvMu5rRUPJn+59pckE92cTEp0aHvhmwyW0hq1I6sNXNDvnakuD1e1mXYKdi5mMWLF/Pggw/Ss2dPrrjiCi6//HJq1gx/h2wREREREREREalazEYHEBERERERERERqZA9e+D7741OUSE3BTEnJiaG/v3788ILL7Bw4UL27NnDhAkTuOGGGypnoe1BgwbBzz9DYmKFlvEmxJH75auGFtoeFBNj457hl+EqzjQ6ioTAkgCLbW0dO1I0YwbOzZvLHJd8683UfONV0v57N9YWzf1aO/ezzzHHxxN3xhkBZQJYlh1g0XAA6vYcGLa1I2Hm5jwKij1HHJs1axbDhw+nTp069O/fnw8++ICsQAuvRURERERERETkuKXOtiIiIiIiIiIiUrXNmAFut9EpKqSPH2NMJhOdOnU61Lm2V69exMTEhDtaePTvD8uWwY03wuTJAU/3xkST9/HzuDu1DkO44JiA/Ow1JKRaiLalGh1HgrTfYWdnUWFAcxIGXoBz40ZyP/2caiP+r9RxJnNgvS8cK1dROHky6c88hX3egoDmgq9D72k1wtOhtWaXc1jz5XM4C3LCsn64/bwyu9RzHo+HyZMnM3nyZG677TbOPvtshgwZwoUXXkh8fHzkQhrI7XSQv2MtedtW4yrKx+O04/V6MVttWGyxJNRuRlKD1kTFJhgdVUREREREREQkYlRsKyIiIiIiIiIiVduC8ovQxgHXHfh4KscWt3qB5sAGoDcwDdgFvAVMAdYBxQfG3ALcAFjK2O99fN1q44F8P55CB3wv1LmOOt64ceNDxbVnnnkm1apV82O1KqJhQ5g4Ed59F+67D/L9+Ur5FIx6CNcpHcOXLWhe8rNWkZzeEUtUnNFhJAi7iooCnmOKiSXhkkHkjh2HY9lybO3aVjiH11FM9tvvEH/euUQ3aRJUse2uAIuGA2Gx2qjb6xI2T/wwbHuEy7bsYpbs8u9r43Q6+emnn/jpp5+Ii4vjggsuYMiQIZx99tnYbLYwJ40ct9PB3oUTyVwzl9wtK8nfsQ6v5+h/kY4VV7MRSQ3bkNLkZGp1O5foBF1oICIiIiIiIiLHLxXbioiIiIiIiIhI1TZ/vt9DE4EPOLbYdjq+QtvEw44tAD4G/gM8CliB34DbgDlAaSVmO4D7gDqAvz0fY4HWwLbUVPr27Uu/fv3o378/TZo08XOFKspkgltugbPPhgcfhG++AVfZBV7F5/WheFD/CAUMhof8nHUkpbXHZDIZHUYCZA+yS3b8gP4U/PobuZ9+Rvpzz1T4v33uhC/A4yHp8suDXsPh9lQoQ3nqnT6YzZPGgtcb1n1Crde1D/HhOVGMHz+eKVOm4PH493UqLCzkiy++4IsvviA5OZlBgwZxxRVXcOaZZxIVVTXfainct43t0yewY+a3OAuyA5+/ZzOFezaz+59fWPvNi9Tqei71+wwhuVG70IcVERERERERETFY1XwFSEREREREREREBHxFXn50tj1oMPAZvo61SYcd/wA4Bcg97FgvfAW41sOO9cfX4fYt4Emgfgl73AqcDqQBX/udDL5/9FEaPP44FktZPXOPUw0bwoQJsHMnvP8+vPOO7+OjeKqlUPDcfw0IGBi3Mw974Q5i4+sZHUUC5PSz8PJoJmsUiUMGk/3q69hnzSa2V8+gMxSvW0/BL79SbcTDmGzRQa/j8ARXOOyvuBoNqNPjInbO/j6s+4RSTGptmvW9klYx8Vx33XXs2bOHr7/+mvHjxzNz5ky/18nJyWHs2LGMHTuWGjVqcNlll3HFFVfQs2dPzGZzGJ9BaOTtWMu6b0aRseLvkBVLe5wOds76jp2zviOpYVuaXTSc9LanhWRtEREREREREZHKoPK/6iMiIiIiIiIiIlKanTshM9Pv4UMO/Dn+sGM5wDfA9UeNTeXIQtuDuh34c3sJ5z7F1yV3tN+J/tU4J+fELLQ9XJ068NhjsHkzfPutr+ttly4Q7Ss4LHz6brzpVeM25UV5W3C7/LtVvVQe1goUSsb26om1SWNyx0/AW06H5rJkj36bmO7dsDZtiqegAE9BATidAHiLivAUFfm1js0c/p8nLS9/CFty9bDvEyqt//M/omLiD31es2ZN7rjjDmbMmMGWLVt44YUXOPnkkwNac+/evbz11lucdtppNGrUiPvvv5+FCxfirYQdfz1uFxt/GcOcpy4lY/lfYetKnLtlOQtfv5kVHz2CszC3/AkiIiIiIiIiIlWAim1FRERERERERKTqys4OaHgScCnw4WHHxuN7kWywn2v8ie92US2OOr4XuBt4Dgiqn2muCpIOsVrh4othzBiYNw/y8ihe/g/FF/U1OlkAvBTkbjA6hAQopgIF7yaTiaSrr8S9ew+Fk6YEvY5r23bss+ew+9rrDz3yv/8BgL13DCfj0cf9WsdmCf/L/9b4ZE66+smw7xMKdU+9lPQ2vUo936BBg0OFsqtXr+aJJ56gZcuWAe2xbds2XnrpJTp37kyrVq14/PHHWbVqVUWjh0TejrX889wVrP/hNbxuZ0T23DHzW2Y9cSH7lv0Vkf1ERERERERERMJJxbYiIiIiIiIiIlJ12e0BT7ke+AdYceDzD4HLgEQ/5k4EPgGGAdWOOnc70BK4LeBEB/jZrfKEFB2No3ac0SkC5irOweUsMDqGBKBWTGyF5tvat8fWvj15X3+DN4ifTwDVnnjsmEdsn94ApD5wHym33uLXOrViK/Zc/FWjwxnU7nFhRPYKVkxqbVpe9qDf41u2bHmoUHbRokU8+OCDNGzYMKA9165dy8iRI2ndujUdO3bk+eefZ/PmzQEmD42dc35kzlOXkrtlRfmDQ8yRvYdFb9zC2m9eqpTdfkVERERERERE/KViWxERERERERERqbqCKNzpDTTFV2S7DJiHrwC3PAuBy4EewLNHnfsG+Al4DzAFnOgAjyfYmcc9t6sIZ3GW0TGC4ijcZXQECUB6TAx1YitW2J109ZV4cnNxbtx4xHHXvn0UzZ5D0ew5uHfvATj0efH6f7sg29q2OeZhqV4dgOhWLYlu1tSvHO1T0yr0PALRavD/EV+rScT2C4Q5Kpq2NzxPVGxCwHNNJhMdO3bkueeeY9OmTcycOZNhw4ZRs2bNgNZZsmQJDz30EI0bN6Znz568/vrr7N69O+A8wdg69TOWf/hgxLrZlmbzHx+w8pPH8HrchuYQEREREREREQmWim1FRERERERERKTqiokJeIoJuA74FBgDtABOK2fOIqA/0Bz4FbAddi4fuANft9s6QPaBR/GB89mAX71NI9SFsipyFEWmKC0cHPa9eD0uo2NIANqnplZovrVJY2J79TzmePHyFWSNeoWsUa/gWLwY4NDnBb//UaE9S9IupWLPIxDW+GQ63/MBMdXqRGxPf5jMFtrf/AppLbpWfC2T6VCh7Pbt25k8eTI33HADKSkpAa0ze/Zs7rrrLurWrUvfvn15//33yczMrHC+kmybNp7V458Ky9rB2DHja1Z++rg63IqIiIiIiIhIlWTy6lUNERERERERERGpqjZtgibld1Mch6/Adh7QBdgBNDhw7mngoQMftwXSgWmHzV0E9AMaAlOAo8vXNgONy9n/IuD78kLedhuMHl3eqBOO1+she+8/eL1Vt2A1LrEJMfGVqwhRSvfqqpW8uHK50TEqpGF8PLPOPi/i+xbu28aCV66nKGN7xPc+mslipd0NL1Cry9lh3ae4uJg//viDCRMm8MMPP1BQ4NflFUewWq2cddZZDBkyhAsvvJCEhMC78B5t1z+/sOyD+4PqAB9ujQZcT4tL7zc6hoiIiIiIiIhIQNTZVkREREREREREqq4GDSA+PuBpdYH7gQuAa8sYtxhfoW09YBLHFtoC1AKmlvA4C4g58LFffQXbtPEr+4nGVZxbpQttAYod4elaKeHRoYKdbSuD9qlphuwbV70+Xe//lPjaTQ3Z/yCzNYaT73gr7IW2ANHR0VxwwQV89tln7NmzhwkTJjBw4ECio6P9XsPpdPLzzz9z1VVXUaNGDQYPHsx3332H3W4PKlPh3q2s+PjRSlloC7B54ofsWzrV6BgiIiIiIiIiIgFRsa2IiIiIiIiIiFRdFgucfHJQU5/D1222dinn1+ArtAVf99t1wJzDHvsOnIsB+pTwqAVYDnzc1p9AnTv7nf1E4nLm+z12yDUP0LjlOezYseeYc1lZubTucBHnXHgbHo+Hp597jyHXPECbky+mWu3TuOOup0tdd/OWnfzn+kdo3PIcGjQdwKDB97Bk6Rq/c7md+bptehXSo3p1Uqz+F0pWRufUqWvY3jGpNen+8BfU73OlIfsnN+nIKY9+S3rb0yK+d3x8/KFC2T179jB27FgGDBiAxWLxe42ioiK+/PJLBg0aRM2aNbnuuuv4448/cLn8u+jA6/Gw4qNH8BQXBfs0ImLlJ4/jLMgxOoaIiIiIiIiIiN9UbCsiIiIiIiIiIlVbmIpUZwP7gUx8HXBPOerxSyg3s1igQ4dQrnjccLv8L7Z9ddSDRFks3HXv88ece/CRV8jPL+Kt1x7BbDYz5t0vyczK5ewBvYiOtpa6ZkZGFucNvIMNG7fx+ssP8cG7T+KwF3PhJcNZt36rX7m8Xhcet8Pv5yHGirVEMbhRI6NjBK26LYZz6hpXbAsQFRPPSVc+Spf/jiM2vV5E9jRbbbS49AG6PfAp8bUaR2TPsqSkpDB06FD++OMPdu7cyVtvvcWpp54a0Bq5ubmMGzeOs88+mzp16nD77bfz999/4/F4Sp2zbdrnZK2bX9H4YefI2cfqL581OoaIiIiIiIiIiN9MXrVUEBERERERERGRquyTT+A//zE6RcW0awdLlxqdolLK3jcfj9v/W6l//+Of3HDL44x6/j6G/uciAH7+9S+uveERXnzuv1x/7cUAeDwezGZfL4IGTQdwwfm9eeu1R45Z74n/jWbMe18xb+Z46tevBUBuXgFdegzmtFM788E7T/qVKyGlFdEx6X4/DzHOnDlzuPupp9h2XdX8uXJXq5N4oE07o2Mc4rIXsP6H19j+15d4nOEpOq92Uk9aDRlRKYpsy7Nt2za++OILJkyYwIIFC4Jao169egwePJghQ4bQqVMnTCYTAIV7tzJr5MBK39X2cCffOZrq7c8wOoaIiIiIiIiISLnU2VZERERERERERKq2nj2NTlBxx8NzCAOPxxVQoS3AwAvPZNDAvjw28i22bttFZmYO9z34En1O73qo0BY4VGhbnl9++5vTenU6VGgLkJQYz/nn9uaPiTP9vrW7y+l/h14xxtq1a7n00ks55ZRTmPvLL9gXLTY6UsDMmLiqcVOjYxwhKiaeVoP/j94vTKPlZQ8SV6NBiNZNoMGZV9PzyZ/pfM8HVaLQFqB+/frcd999zJ8/nzVr1jBy5EhOOumkgNbYvn07o0aNokuXLrRs2ZLHHnuMlStXsvHXd6pUoS3Auu9eRT1hRERERERERKQqULGtiIiIiIiIiIhUbU2bQu/eRqeomBtuMDpBpeT1OIOa98Iz/yUhIY5h9zzH/Q+/TLHTyeuvPBTwOkVFDjZt3kGb1scWL7Zu3ZQiu4PNW3b6tZYnyOci4bdnzx7uuOMOWrduzTfffHPoeMHPvxiYKjgX1KtH3bg4o2OUyBqfQsP+Q+k18jc63/0+dU4ZSHztpmDy/20KW0pNqnc4k9ZXP8npL0yj1RWPkFC7chUXB6JFixY8+uijrFixgiVLlvDQQw/RqFGjgNZYt24d//vf/+jRqR1bZnwbnqBhlL9jLdkbFhkdQ0RERERERESkXFFGBxAREREREREREamwO+6A6dONThGcrl19DzmG1+sOal5qahKvj3qIwVffD8Dbb4ygbp0aAa+TnZOH1+slJSXp2D0OHMvKyvVvMa8n4P0lvPLz8xk1ahQvvfQS+fnHdh52LFlK4V9/E3f6aQakC1xKdDRPdOhodIxymcxmqrXuRbXWvQBwOQrJ27aa3C3LKcrYjqfYgdvlwGyxYrbaiE5MI6lBa5IatsGWXN3g9OFhMplo37497du355lnnmHu3LmMHz+eL7/8kt27d/u1Rv8WyViraHuVbdPGk9qsk9ExRERERERERETKpGJbERERERERERGp+gYOhFq1wM+ipErl9tuNTlCJBX9r8X59e9ClcxuysnK4/NKzKpTCZDKVddKvNbwqtq00nE4nH3zwAU888QR79uwpc2zOh+OI69gBko4tuK5snupwMjViYo2OEbAoWxypzTqp2PIAk8lEjx496NGjBy+//DLTp09n/PjxfPPNN2RlZZU8Bzj/pNTIBg2hPQv+wHH5Q9iSqhkdRURERERERESkVFX0OmcREREREREREZHDWK1w881GpwhcaioMHmx0ikqsYi9f2qKtWK3WoOenJCdiMpnIyso55lxWtq+jbWpKol9rmUx6KdZoXq+X7777jrZt23LbbbeVW2ibmJjIUw8/zNt9zoxQwuCdXacuA+s3MDqGhJjFYuHMM8/kvffeY/fu3fz0009cddVVxMfHHzGuXe046iZHG5Sy4rxuJ7vm/GB0DBERERERERGRMqmzrYiIiIiIiIiIHB+GDYO334Z9+4xO4r9HH4XYqteJMlKMLlCNjbXRpHFdVq7aeMy5Vas2Ehtjo1HDOn6tZfRzOdHNnDmTBx54gFmzZpU71mq1cttttzFixAiqV68OwNT9GXy5ZXOYUwYn3Wbj2ZM7ld2BWaq86Ohozj//fM4//3wKCwv5+eefmTBhAr/++ittavn/78jEtdmMml5yF/hL2qVxc48azNmSz18bc9mw38G2bAduL/xxU6sS54ybt48N++1s2O9gf6GL/s2TuK+Pfz8XD5e9fiEMuD7geSIiIiIiIiIikaJiWxEREREREREROT6kp+N49VVsV11ldBL/9OoFw4cbnaJSM1uM79R47jmn8857X7Fjxx7q1q0JQF5+IT//Op2zz+pFVJR/L7GaLbZwxpRSrF69mocffpjvv//er/GDBw/m6aefpmnTpkccf+7kzuy125m2p+QiRaMkWa18fmpvasSoaP9EEhcXx+WXX87ll19OTk4O05+9BjLXBbTGvb1rUT/5yJ9L1eJ9P89mbc5j9d4imqbHYLWYWJdhL3Wdb5dn0iTNRo+GCUxcc2wXcH/lblkZ9FwRERERERERkUhQsa2IiIiIiIiIiBwXtmzZwsAXX+RB4Aqjw5QnJgY+/BAsFqOTVGomkwVLVBxuV2HI1545axH7M7MBcHvcbN++hx9/ngpAzx4dSU9PBeDOW6/gy6//4IprHuCh+2/AFh3Na29+it1RzAP3+t+F0WJNCPlziIRij5s1Obkszc5kaVYWK3NyyHM6sbvdePFiM1uIi4qieVIS7VNSaZ+aStuUFOKjrIbm3rVrF0888QQffPABbre73PF9+vThhRdeoGvXriWet1ksvNejJ/+Z+TezMypH9+yEqCg+7nUabVJSjI4iBkpOTibFm0/p5bAla5Rqo0X1kou07z69FuYDnZLfnLm7zGLb74e2ODR2yrrgi23tWbsozsskOjEt6DVERERERERERMJJxbYiIiIiIiIiIlLl/fXXX1xyySVkZGRwJ3AmUMPoUGV55hlo0cLoFFWCxZoQlmLb51/6kJmzFx/6fMasRcyYtQiAH755nVMPFNump6fyy/dv8diTb3HHXc/gdrnp0qUNP37zOi2aN/R7v6ioqlNsW+xx8/vOnXy6cQPz9mdQ7PGUO2dZdhbfbt0CgAlonZzCFY0ac2nDhiRZI9ehOC8vjxdffJFRo0ZRWFj+903btm15/vnnOeecczAdKBgsTVxUFJ+cehq3zJnNlN27QhU5KGnRNj479TTap6ow8URXnJeJ9mnGPwABAABJREFUPSu034/mcv4uBDu2PLlbVpDe9rSQrSciIiIiIiIiEkoqthURERERERERkSrt7bffZvjw4bhcLgD2A1cCvwKRK/ELwEUXwfDhRqeoMqKiEihmb1Bzf/z2jaDOHa1xo7p8MvaZoDIAmM02zJZK+d14hJ2FhXy2aSOfb97IXnugfTL/5QVW5GTz6JJFPLN8KYMaNOTaJs3C2oHV6XTy7rvv8uSTT7JvX/mdZ+vVq8f//vc/rrnmGiwBdJiOtUTxwSm9eH7FMt5ZuxYP3orEDsrJaWm83qU7TRITI763VD75O9cHNc/jBbfnyO9fizl0hbPByN+5TsW2IiIiIiIiIlJpqdhWRERERERERESqpOLiYoYNG8a77757zLkp+ApuvwD8L6OLgDPPhAkTIIDivhNdlLXqFxRarJW7q63d7ebllSsYs24Nbm9oi0eL3G4+27SRzzZt5Ny69Xi2YyfSY2JCtr7X6+Xrr7/m//7v/1i/vvyiw+TkZB5++GGGDx9ObGxsUHtazWZGtOvAOXXqcc/8f9iQnxfUOoGymc3c37otN7dogcVkjsieUvm5HQVBzbvrhy3HHPv1hpaGFty67KHvYi4iIiIiIiIiEioqthURERERERERkSpnz549XHLJJcycObPUMavbtCHjppuoed99cKDrraH69oXvv4cQFhqeCCzWBMwWGx63w+goQYuOSTc6QqkWZe7nnvnzWJeXG/a9ft2xndn79vJ0x05cWK8+pgrefv6vv/7igQceYO7cueWOjY6O5o477uCRRx6hWrVqFdr3oM7VqvFHv/6MWrki7F1uT05L45XO3WielBS2PaRqchcH97Px/j61aZByZMdtozvbepzBd9QWEREREREREQk3FduKiIiIiIiIiEiVsmDBAgYOHMj27dtLHTNw4EA+/vhjEhMToVkzuPxyKDSwY96gQfDZZyq0DYLJZMIWV5uivM1GRwmKyWwlOiY0xZ2hVOxxM2rlCkavWRPWItGjZRUXc/s/c/h5x3aeP7kzaTZbwGusXLmShx56iJ9++smv8VdeeSVPPfUUjRs3Dniv8sRaohjRrgPXNG7Kp5s2MH7zJrKKi0OytgnoV7sO1zZpSu+atTBXsDhZjlNBfl80SImmRfXgujuHi0kdm0VERERERESkElOxrYiIiIiISBVS5PKwJsdBhsON3e3F7fESbTERazHTIMFKowSrCjFE5Lj2+eefc8MNN2C3l9797oknnuDRRx/FbD5QtHPeebB0KVx/Pfz1V4SSHpCQAKNGwU03BV0QJWCLrUlR3haIYFFoqNhia1W6ArIil4ub5sxi6p7dhmX4dcd2VufkMOG006kbF+/XnB07dvD4448zduxYPB5PueP79u3LCy+8QKdOnSoat1wNExJ4pF0H7m3dlp+3b+PjjRtYmLk/qO/YmjExXNawEVc3bkr9eP++NnLislgDL1ivrMzH0XMRERERERERkeOPim1FREREREQqsS35xUzdVcCyTAdLsuyszXHgLqNqI9Fqpm2qjfapMXSsFkO/OgnERVWuAh8ROQ643VBUBHY7eL0QG+t7WCxh3NLNww8/zIsvvljqmPj4eD755BMuvvjiY082bQpTp8Kbb8JDD/nyh1u/fvD++9CwYfj3Os6ZzVaiY6pTbN9rdJSAxcTVMjrCEQpcTq6Z+TdzMzKMjsLG/DwGTpvKV6f3oVFCQqnjcnJyeOGFF3jllVco8uPvbocOHXj++ecZMGAApggXucdYLFzasBGXNmxEvtPJ8uxslmZnsiwri+XZ2eQ4i3G4Pbi9XmwWMzEWC80Tk2iXmkr7lFTap6ZSJzYu4rml6oqKLf3vTlUTFaPichERERERERGpvFRsKyIiIiIiUsm4PV7+3FXAx+uzmbqrIKCOaHlOD7P3FjF7r68QJdFq5vLGSfynWQrNktQpSkSCYLfD4sWwYMG/jxUrfAW3hzOb4aSToHNn36NLF+jYEeLiKhwhKyuLK6+8kt9//73UMY0bN+aHH36gXbt2pS9kNsPw4XDuuXD//fDjj+BHd8yANWoEjzwCN9ygbrYhFBNft8oV20bHVMdsqTz//trdbq6fNbNSFNoetLOokCv+ns53fc6gduyRPy+Ki4sZM2YMI0eOZP/+/eWu1aBBA5566imuuuqqfztbGyjBaqVH9er0qF7d6ChyHEuo2yLka+7Jc7J2n+/3iV25TgD+3pgLQM1EKy2qxx4au3RXITlFLgA8XtiT7zo0tl3tOFJi/X8bKqFey5DkFxEREREREREJB5PX6616914TERERERE5DjncHsauy2bs2iy2F7pCvn6vGnHc2TqN02upY5SI+GHFCnj7bfj4Y8jLC26NuDi4+mq47TZf4W0QVq1axUUXXcS6detKHdO3b1+++OILqlWrFtjiW7fCu+/Ce+/B3goWcZpMcM45cPvtcPbZYe3yeyIrzNuMvWC70TH8YjJbSU7vhNlsNToKAF6vlzv+mcMP27cZHaVELRKT+PXMfsRGReHxePjqq6/4v//7PzZu3Fju3JSUFB555BHuvPNOYmJiIpBWpHL5+5GzKNq31a+xE9dmM2r6bt4Y2PCIotmSxpSkf/Mk7utT59Dn9/+8haW7Su44/cJ59elQx//fPc54ZQ7W+GS/x4uIiIiIiIiIRJKKbUVERERERCqBpZl27pm7i9U5xWHf64rGyTx2cnWSo1UIJiJHcbvhm29g9GiYPj20a/fs6StEvfxysPpXfPjTTz9x1VVXkVdGse/dd9/Niy++SFRUBW7gVFwM334LEyeW3rm3JDVq+Lr4du8O11wDTZoEn0H84vV6yN2/GLer0Ogo5UpIaUV0TLrRMQ75YdtWbv9njtExynRjs+b0yczmgQceYP78+eWOt9lsDBs2jIcffpi0tLQIJBSpnJa8ew975pfe/b0qiK3egNOe/sPoGCIiIiIiIiIipVKxrYiIiIiIiIEcbg+vrcjkzVX7cUfwt7NasVG82LUmZ9ZJiNymIlK5rV4NQ4fC3Lnh3adjRxg3Djp0KHWI1+vl2WefZcSIEZT20lV0dDTvvPMOQ4cODX3GoiJYuhQWLYL9+32fu1wQG+vr1tuiBXTpAnXq+DraSkS5nHnk7l9idIwyRcekk5DSyugYh+yz2zlj0u9kFYf/op4K8XrJeOwJiletLnOYyWTimmuuYeTIkTRs2DBC4UQqr02/v8+6b0cZHaNCanY5mw43v2J0DBERERERERGRUqnYVkRERERExCA7Cpxc+/cOVmU7DMtwXfMUnjy5BhazisVETlhuN7z8Mjz6KDgi9PMoKsq338MPH9PltqCggOuuu46vvvqq1Om1a9fmu+++o3v37uFOKpVUUf5WivL9u2V6pJnNNpLSO2I2+9fBOdy8Xi83zZnFbzt3GB3FL65du9h37wN4SykMPuuss3j++efpUEbBvsiJJnvjEv557gqjY1RIqyEjaHDGVUbHEBEREREREREpldnoACIiIiIiIieiDbnFDJyy1dBCW4Cx67K5c84uiiPZVldEKo/Nm6FXL3jggcgV2oKvS+zjj0O3brB27WFxNtOrV68yC227d+/O/PnzVWh7gouJr48ttpbRMY5hMltJTGtbaQptAX7fuaPKFNoCRNWuTcLllx5z/OSTT2bSpEn8/vvvKrQVOUpy4/Yk1GtpdIygmaNjqd39AqNjiIiIiIiIiIiUScW2IiIiIiIiEbYpr5hL/tzKzkKX0VEA+HFrHrfP3onLo4JbkRPKypW+Qtu5c43LsHgxnHoqLFrEtGnT6Nq1K0uWLCl1+NChQ5k2bRp16tSJXEaplEwmE7GJTZjzzyqjoxxiMkWRmNoGS1Ss0VGOMGbdGqMjBCy+f39MMTYAGjVqxGeffcb8+fPp16+fwclEKieTyUT93kOMjhG02t3PxxqXZHQMEREREREREZEyqdhWREREREQkgnYWOrli6jb22d1GRznCb9vzue+f3Xi8KrgVOSEsXw69e8POnUYngX37cPTsyUN9+5KRkVHiEIvFwmuvvcaHH35ITExMhANKZfXqq69y/sBbePf9r42OgtkcTVK19kRZE4yOcoTl2VnM37/f6BgBM8fHkX7WWbz88susXr2aK6+8ErNZL2WLlKV29/OxxMQbHSMo9ftU3UJhERERERERETlx6BVKERERERGRCPF4vdwxaxfbK0lH26N9tTmXj9dnGx1DRMJt/Xro3x9KKWw1gs1u5xePh9YlnEtLS+OPP/5g+PDhmEymiGeTymnq1Kk88MADeL1eHn70Ne65/wXy8wsNyWK1pZJUrQOWqDhD9i/Lxxs3GB0haG1uu4W7774bm81mdBSRKiEqJp66PS82OkbAEhu1J6n+SUbHEBEREREREREpl4ptRUREREREIuSDtVn8k1FkdIwyPbV4H1vyi42OISLhUlAA554Lu3cbneQY1YDfgOTDjrVr14558+bRt29fg1JJZbR161Yuv/xy3O5/u8R//OlP9DrjP8yYtThiOUwmC/FJzUlIaY3ZUvkKQnOdxXy7dYvRMYK2Nj+f+ZlVryuviJEan3Mz1vjk8gdWEh6vl6d+WMrChQuNjiIiIiIiIiIiUi4V24qIiIiIiETAxrxinltaebpIlqbI7eXeubvxeL1GRxGRcPi//4N164xOUaoGwKgDHw8aNIhZs2bRpEkTIyNJELxeL263nWJ7BoV5W8jLXEH23nlk7ZlD5u5ZZO6eRdaeOWTvm0de1kqK8rdSbM/E4y7/Yg+73c4ll1xCRgmdmXfs2Et0XDPikpphMlnC8dQOsdpSSU7vhC2uZqXtuPzn7t0UHVaQXBX9tG2b0RFEqhRbcnVaXTHC6Bh++255Fr/+s5ru3bvz9NNP43JVzjuAiIiIiIiIiIgARBkdQERERERE5Hjn9nj579zd2N1Vo4B19r4iPlqXzXUtUo2OIiKh9Ndf8PrrRqco1w1A7NVXc8VHH2E26zrxqsTjduAo2oOjcA8ej6PMsV6vB6/bhcftwOnIPHTcbInFFlcTW2xNzGbrUXO83HHHHcyfP7/ENZ966inOPvtsAGwx6Tjs+3AU7sLtKqzgMzvAZMYWUx1bXG2irAmhWTOMFmdmlj8IKJw6jey33garlRqvv0JU9epHnM947Ek8ebnUeMVXCm+fv4CiWbNxbt6Ma8dOcLup8/UXx6zrzsgg58NxODdvwZOTAxYzlho1ie97BnED+mOylF8QvSTbv+cgIv+q1e089iz4nb2LpxgdpUzbc4r5aN4+AFwuFyNGjOCXX37hk08+oWnTpganExERERERERE5lt6xEBERERERCbPfduQzL6PI6BgBeWFZBgVOj9ExRCRUCgrg+uuNTuG3K6dOxZyba3QM8YPX68XpyCY/ezXZ++ZTlL+13ELbsnjcRRTlbSZ77zzyc9bicuYdOvfOO+/w4Ycfljjv4osv5uGHHz70uckcRUxcbZKqnUxiWjuiY6pjMgXXd8ASFU9cYhNSqncjPrl5lSi0BViWnRXYBKeTvPHHFs0ezf7PPIrXrSeqXj2sDRuWOs7jcGCKjSXx0kGkPXg/qXffhe2kluR8MJacd9/zK9KK7GzcXv3/iEggTCYTJ131ONb4ZKOjlMrj9fLy9F04jroYcfbs2XTo0IH33nsPr+60ISIiIiIiIiKVjDrbioiIiIiIhNlH67KNjhCwXKeH77fmclXTFKOjiEgoPP88bNhgdAr/7dgBTzwBr75qdBIpg9ttpyBnPa7i7DCs7qG4aC/FRXuJjkln5ZpMhg8fXuLIVq1aMW7cOEwm0zHnTCYT1uhkrNHJeL1ePB4Hbmc+Lmc+bmcBHq8TDhVzmjCZLJijYoiyJhIVlYDFGofJVH4H1srG4/WyPMBiW1vHjhTNmEHChedjbdSo1HHJt96M6UDX6ez3P8S5cWOJ46x165I67I4jjsV0Ohl3Ti6F0/4i+cYbMFmtJc49qMjtZn1eHi2TKm/RoEhlZEuuTvubXmbhm7fidTmNjnOM33bYWLGn5IsRCwoKuPnmm/nxxx95//33qVmzZoTTiYiIiIiIiIiUTJ1tRUREREREwmhtjoNZe0N0++oIG7cuWx2lRI4HDgeMGWN0isB9+CHk5xudQkrg9XqxF+4mJ2NRmAptj1RszyA1IZMB/Xoccy4xMZHvvvuOpKSkctcxmUxYLDFEx6QTl9iIxLQ2JFfrSHJ6pwOPk0mq1p6E5BbExNUmKjqxShbaAmzMzyPf5QpoTsLACzAnJJL76edljjtYaBssc1ISmEzg5zpLswLs0CsiAFRr3ZP2N40CU+V6G6jJebfx0g/zefTRRzGX8XPg559/pl27dnz//feRCyciIiIiIiIiUobK9SqLiIiIiIjIcebj9dlGRwjaymwH8/fbjY4hIhX1zTewb5/RKQKXlweffWZ0CjmKx11MXtYKCnPXg9cdsX2rVUvh4w+f4d3Rj5OUlHDo+Mcff0yrVq0ilqOq2FEY+IU+pphYEi4ZhGPxEhzLlocsi9frxet248nPp2jmLIqmTSPhgvMxWfwrZA7muYiIT82T+9PhllcwRZXdRTpSml54J00vHIbVamXkyJHMmDGDZs2alTp+3759XHzxxdxwww3k5eVFMKmIiIiIiIiIyLFUbCsiIiIiIhImRS4PX23KNTpGhXxahYuFReSA0aONThC80aNBHbYrDberiNzMJRHpZluaSy7uxw9fv0Z6tRQeeeQRBg4caFiWyszhDq4QOn5Afyw1a5L76Wch626f//0P7Bp8JbuH3kDWq68Tf965JF01xO/59iCfi4j41Ow0gE53jiEqrvwO4OFiMkfR6ooRND3/Dkwm06Hjp5xyCosWLeKWW24pc/6HH35Ihw4dmDFjRrijioiIiIiIiIiUSsW2IiIiIiIiYbI8y06+y2N0jAqZvVfd5ESqtKVLYeZMo1MEb+lSmDXL6BQCuF2F5GYuxeN2GB2F9u1aMHXSOB5/7BGjo1RaDk9w//9hskaROGQwzg0bsc+aHZIscX36kP7cM6SN+D8SLrqQ/B9+IueDD/2eX+xRsa1IRVVr3ZOeT/xEerveEd87sV4ruj/yJQ3OvKrE8wkJCYwZM4aff/6ZmjVrlrrOpk2bOP3003n44YcpLi4OV1wRERERERERkVJFGR1ARERERETkeLU0K/iCpJ1D/LsldrVHP8LWujv5v35E8er5ODevxL1vB9EndSX9sU+C3v+gHYUuMh0u0mz69VGkSvr5Z6MTVNzPP0OvXkanOKG5XXZyM5fj9TiNjnJIndrVKMxdRWJaO8zmynF79Mok2hx8j4XYXj0p+PEncsdPIKZ7twpnsaSmYElNASCmYwdM8fHkffY5cWecgbVJ43LnWyvwXETkXzEpNTj5zrfZNedHVn/xDK7C8N6Bw2SOovG5t9Dk3JsxR0WXO/68885j2bJl3HLLLXz33XcljvF6vTz33HP8/vvvfPLJJ7Rt2zbUsUVERERERERESqVXKkVERERERMJkaaY96LnpIycc8bB17I0pOuaY49ZGbQAonDIBd8YObG16YE5KC9VTAGBppvFdDEUkSAsWlDtkHGA68JhWwnkv0OzA+T4Hju0CRgCnAOlAEtAZeBc4ugflYuA8oAEQC6QdmPdpCJ+DhI/X4yYvawVeT+XrIuh2FZKftQqv12t0lErHZrYEPddkMpF09ZW4d++hcNKUEKbyiW7eFADXrl1+jY+xBP9cRORIJpOJOqdcRM8nfqLeaZdjjo4NwyZmanTsS/dHvqTZhXf6VWh7UPXq1fnmm28YO3YsiYmJpY5bvHgxXbp04ZVXXsETZCdvEREREREREZFAqTWRiIiIiIhImCzLCr7YNrp5xyM+Nyelgsl8zPGDqr/4C6YDnd/23n9B0PuWZGmmnT6140O6pohESACFqonAB/xbUHvQdGDDgfOHlgU+Bv4DPApYgd+A24A5wOE3iM8G6gNDgLpAAfAZcA2wGV/RbrnPwesFk8nv5yKhU5i/GY+7yOgYpXI5c7EX7iA2vp7RUSqVmrExFZpva98eW/v25H39DZZq1UKUysexfCUAllq1/BpfMyYMxYAiJ7iYlBq0vuZJml9yH7vm/MC2aeMp2L2xQmtGJ6VT77TLqHfaZcSk1Q56HZPJxNChQ+nduzfXXnstf//9d4njHA4H//3vf/npp58YN24cDRo0CHrPsni9XooytpO7ZTm5W1aQu2UFBbs34rYX4nY5MGHCHB1DVGwiifVaktSwNUkN2pDUsA225OphySQiIiIiIiIixlCxrYiIiIiISBgUu72sy41cF0BTGG+xvDJbnW1FqqSMDNiyxe/hg/EVwb6Fr1PtQR/g60R7+M2me+ErwLUedqw/UHxg/pP4CmzBV7zb56i9zgc24euEW26xbWYmbN4Mjcu/3byElrM4B0ehf91HjVSUt4VoWxqWqDijo1QazROTiLFYsLuP7jXtv6Srr2Tfgw/jyckhqv6/xcyufftwrt8AgHv3HgCKZs8BwFK9OtHNfJ1rc7/4Ek92DtGtT8KSloanoADH4iUUTp5CzCk9iG7axK8c7VNTg34OIlI2a1wiDc68mvpnXEXW2nlkrZ3nKyjdugJH9t4y50bFJZHUoDVJDduQ0vRk0tueFlAX2/I0btyYqVOnMmrUKEaMGIHT6Sxx3NSpU2nfvj1vvvkmV111FaYQXZxTtH8H2//6kh0zv6U4N6PUcV7A4yrGVZiLff8O9i3589C5+NpNqXf65dQ5ZSDWuKRS1xARERERERGRqkHFtiIiIiIiImFQ4PLgOU7uap3nDL5QR0QMtHBhQMOH4Cu2HQ/ccuBYDvAN8Drw6mFjSyt964av2HY7/xbbliYdKLuM5zALF6rYNsK8HjcFOeuMjuEnL/k560hKax+yIquqLspspnVyCgsz9we9hrVJY2J79aRoxswjjhcvX0H2W28fcSxr1CsAxPbpTfSdtwMQ3bQp+b/+hn3ePDx5+ZisVqLq1SNp6H+IP2uAXxmizWZaJKlATSTcTCYTaS27kday26Fjjuy95O1Yi6soD3exA7wezFYbFlscCbWbElu9fth/5losFh544AHOOussrr76apYvX17iuJycHK655hp+/PFHxowZQ1paWlD7eT0e9q+cybZp49m3bDp4PRWJT8GuDaz54lnWffsKtbufT/0+Q0hq0LpCa4qIiIiIiIiIcVRsKyIiIiIiEgZ2d8XemK1M7O7jpGpY5ESz1+9SVsDXzfZS4EP+LbYdD5jxdb191Y81/sT3YlOLEs55DjyygK+AP4A3/Q0X4HORiisq2IbHbTc6ht/czjwchbuIia9jdJRKo31Kql/FtnFn9CHujD4lnku9ezipdw/3e/zhYrp0JqZL53LHleWk5GSizZYKrSEiwbGl1MCWUsPoGAB06NCBefPm8eijjzJq1Ci83pJ/P/nqq6+YMWMGY8eO5ayzzgpoj8K9W1j+0SNkr1sQishH8Djt7JjxNTtmfE2dUwbS8vKHsMYnh3wfEREREREREQmv8N1nVERERERE5AR2PJWnHi8dekVOOEVFAU+5HvgHWHHg8w+By4BEP+ZOBD4BhgHVSjh/O2AFagD34OuWe0sJ40pkrzpFn8cDr8eNo3CX0TECZi/cWWoB1omofWppPairjnYpVf85iEhoxMTE8OKLL/Lnn3/SoEGDUsft2rWLs88+m2HDhlFYWFjuul6Phy1TPmbWkwPDUmh7tJ2zv2fWkxeyb+m0sO8lIiIiIiIiIqGlYlsREREREZEwiLEcP7exPp6ei8gJxekMeEpvoCm+IttlwDx8BbjlWQhcDvQAni1lzP8dWO+XA2veCbzkb7DiYn9HSggU2/fh9bqNjhEwj9uOqzjb6BiVxpm1ahMV5lu8h9vZdeoaHUFEKpk+ffqwdOlSrrnmmjLHvfnmm3Tq1Il58+aVOqYoYwfzXvoPa754Fo8zchf2OLL3sujN21g+9mFc9oKI7SsiIiIiIiIiFaNiWxERERERkTCItRw/v27FW4+f5yJyQomJCXiKCbgO+BQYA7QATitnziKgP9Ac+BWwlTKuAdAFOBd4G7gZeBjY50+wIJ6LBMfr9WKvgl1tD6rK2UNp5cqV3HPjjeT9PcPoKEFrFJ9A75q1jI4hIpVQcnIyH3/8MV999RVpaWmljluzZg2nnHIKI0eOxOVyHXEub8da/nl+CNnrw9/NtjQ7Z3/Pgleux1mQbVgGEREREREREfGf3jEVEREREREJg9goMw3irUbHCInmSdFGRxCRYARZoDoUyMBXbHtdOWMXAf2AhsBEIDmAfboBLmCjP4NjYwNYWSrC7czH7aq6Xfacjkzc7sh1J6xsFi5cyCWXXEKbNm347LPPKPj9D6MjBe2aJk0xV/HOvCISXpdeeinLly/n7LPPLnWM2+3m8ccf59RTT2XdunUA5G5dyfyX/oMjx69LfsIqZ9NS5r34H4rzMo2OIiIiIiIiIiLlULGtiIiIiIhImLRLK62/Y+gVb1hG0dzfKZr7O96ifDy5WYc+d+3bUaG126epo6RIldSkSVDT6gL3AxcA15YxbjG+Qtt6wCQgNcB9puJ7YcqvlI0bB7i6BKvYsd/oCBXmtJ94BUuzZs3ivPPOo3Pnznz77beHjhevXoNzyxYDkwUnxmzh8oaNjI4hIlVA7dq1+fXXXxk9ejSxZVycM3fuXDp27MgHrz7LgtduwlmQE8GUZcvfuc6XqTDP6CgiIiIiIiIiUgYV24qIiIiIiIRJ+9TIFakWTPyMrFfvJuvVu3Hv34Vrx/pDnxevnFuhtSP5PEQkhDp0AIslqKnPAd8DtUs5vwZfoS3A08A6YM5hj8P7xN0M3Ad8CUwHvgGuAD4B7gWq+xOoc+dA4ksFuJz+FfoMueYBGrc8hx079hxzLisrl9YdLuKcC2/D4/Hw9HPvMeSaB2hz8sVUq30ad9z1dIlrrl6zifseGsVZ599K/Sb9qVb7NGbMWhT4c3DlBzynKvJ6vfz555+ceeaZ9OrVi19//bXEcfk/l3y8MrukYUPSbJG7aElEqjaTycRtt93GokWL6Nq1a6njzC470XM/wFkJu8jmbV3J0nfuxuvxGB1FREREREREREqhYlsREREREZEwCWVH2NTbnqP2uIVlnq8zfnWJj7jeg4LeN81moU5cVNDzRcRAsbHQpk1Ylp4N7Acy8XXAPeWoxy+HjT0F+Ae4A1+B7o3AbnzFti/4s1njxpCWFqroUgav14vb6V+h6qujHiTKYuGue58/5tyDj7xCfn4Rb732CGazmTHvfklmVi5nD+hFdLS11DUXLVnNr7//TWpKIqefFnyBtb/Poaryer388ssv9OzZk759+zJ16tQyxxdNm07xylURSldxNWJieLhtO6NjiEgV1LJlS2bOnMkTTzyBpYQLjm45pSY1E0v/d8ho+1fNYvtfXxgdQ0RERERERERKoXdMRUREREREwqRDWgxWMzircHOiqG2rWbIkn44dOxodRUSC0bkzLF1a5pChBx7lWR7EHIDrDjyCpq62EeNx2/F63X6NrVmjGi8+919uuOVxxn38A0P/cxEAP//6F998N5kXn/svTRrXA2DL+j8wm33X/H/19cRS1xx86VkMufwcAH78eSq/T5wZ1PNwuwrxet2YTBa8Xi87CgtZmp3FkqxMlmdnk+Gw43B7cHk92MwWYiwWGsTH0yE1lXYpabRLTSHJGh3U3uHk8Xj49ttvefrpp1m8eLFfc2JjY7n55psZMuQqrlq+hCK3f/99jfT8yV1IjVZXWxEJjtVq5fHHH+ecc87h6quvZt26dQB0qx/PgBbJBqcr39pvXiK97enEptc1OoqIiIiIiBQUwOLFvsf+/VBUBG43xMRAXBy0aOF77bJBAzCZjE4rIhGgYlsREREREZEwSY62cG69RH7Y6t8tuSujVR+/zMl3TeW0005j2LBhDBw4EKu18naDKo/T42V9bjG5xW4cHi8eL9gsJmItJpomRZNoPbYDlkiV1rUrjB1rdIqKKeN20BJabldBQOMHXngmv/z2F4+NfIszz+hGQnwc9z34En1O78r11158aNzBQtvy+DvOHysydvLe5p38uXs3mcWOcscvzsrkx+3bDn3eNCGRixs04MpGTagZGxuyXMFwuVxMmDCBZ555hlWr/OtQm5CQwJ133sk999xDjRo1AHgELyOWLApn1Aob1KAhA+rUMTqGiBwHunXrxqJFi3jggQf4+P0x3HVaLaMj+cXtKGTFxyPofPcHmEL476KIiIiIiPjBbodvvoGJE2HBAli1Cjx+dFOpVs1XdNujB1x9NTRvHv6sImIIk9fr9RodQkRERERE5Hj1z75CLp6yrfyBlZBr3w723tUfvP++mFS3bl1uv/12brrpJqpXr25gOv9szitm1t5ClmbZWZbpYFW2A4en5F+DTUCTxGjap9lolxpD5/RYOleLwaQr0qUq27sX6tUDp9PoJMExmWDTJmjY0OgkJwR7wQ4K8zYFNCcrK5deZ/yH5s0akl4thanT/+HvPz+ibp0aJY5v0HQAF5zfm7dee6TMdX/8eSrX3fQYP3zzOqf2PDmgTAD/XZ3JpP32gOcdLcpk4uw6dRnatBk90qtH9N8Eh8PBxx9/zHPPPcfGjRv9mpOamspdd93FsGHDSEtLO+Kcx+tlyN/TmbFvbzjiVljt2Fgm9RugrrYiEnK/P3sj5k3BdUs3Spuhz1K350CjY4iIiIhIZZWVBQsX+gpCFywoufNqfDy0bOkrAj34aNoUdFHXsTZtgnfegQ8+gIyMiq83YADcfjucdx5EqQ+myPFEf6NFRERERETCqGt6LCclR7Mqp9joKAErnPLFEYW2ADt27OCRRx5h5MiRXHHFFQwbNozOlewW7y6Pl8k78/loXTZ/7Sn0e54X2JBXzIa8Yr7b4utG3CwpmmubpXBpoySSotX1VqqgGjXgssvg88+NThKc889XoW0Eeb1+dOo4SmpqEq+PeojBV98PwNtvjCi10DaSbObQFMW6vF5+3rGdn3dsp1NaNV7u3JXmSUkhWbs0hYWFvP/++7z44ots377drzk1atTg3nvv5bbbbiMxMbHEMWaTiXd79OSyv6axIic7hIkrLjU6mvGn9lahrYiEnLMgh6jtCwj8XzhjbZ38EXVOuUgX/omIiIjIvwoLYfx4GDMG5s8ve6zDATk5sHMnTJ367/Fq1eCaa+C226BFi/DmrQrWrYN774Wff4ZQ9qqcONH3qF8fHnkEbrpJRc4ixwn9TRYREREREQkjk8nEf5qnGh0jYF5XMYVTvy71vMPh4KOPPqJLly707NmTCRMm4DS4c2aB08PrK/Zzys8buWHGzoAKbUuzPreYRxfupdMPG3hg3m4251W9omkRbr/d6ATBq8rZq6Tg3lTo17cHXTq3oWmTelx+6VkhzhScqDDUJi3M3M9ZUyYyes1q3EEUJpcnLy+P559/nsaNG3PXXXf5VWhbt25dXnvtNTZt2sQDDzxQaqHtQcnR0Xx+6uk0TwxvwXAgkq1WPjv19LAXMYvIiWnnrO/wOCve6TzS8ravJmfjYqNjiIiIiEhlsG4d3HMP1K0LN95YfqFtWfbvh1df9XW87d8fvvsOXK6QRa0y3G7f16FDB/jpp9AW2h5u2za49Vbo18/XPVdEqjwV24qIiIiIiITZZY2SaJRgNTpGQJrvXk6cx7/C0tmzZzNkyBAaNmzIyJEj2bNnT5jTHWvWnkL6/b6Z55dlsLMw9C8OFrm9fLYhh76/b+aDtVl4wvXim0g49OwJ7dsbnSJwTZr4brkmERR8haot2orVWnn+rXOG6ce0w+Ph6eVLuWjan6zPyw3JmpmZmTz55JM0bNiQhx56iL1795Y7p3Hjxrz77rts2LCB4cOHExcX5/d+6TExfNv7DNqnGH8xUHVbDF/3PoMOqWlGRxGR45DX42Hb9AlGxwjatmnjjY4gIiIiIkYqKvJ1XW3Z0lcYmp0d2vUnT4ZBg6BrV1iyJLRrV2br1kHv3r4C5qKiyOw5dSq0awdvvw2eqnbfDRE5nIptRUREREREwiw2yszL3WpVoIQpspomRvP73YPZsWMHr732Gs2bN/dr3q5du3j88cepX78+11xzDf/880+Yk/q62T6yYA+XTd3G1oLwd9a1u708tnAvl/65jU3qcitVhckEDz1kdIrAPfigbq8WYSbT8fP1dnjCe1HEosxMLpw6hXn7M4JeY+/evTz00EM0atSIJ554gqysrHLntGrVik8++YS1a9dy0003YbPZgto7zWbjy9P7MKh+g6Dmh0KntGp83+dMWienGJZBRI5vmatnU7h3i9ExgrZ7we84cvcbHUNERESkYlwu2LIFVq2CRYtg6VJfseN+/X9OmWbNgo4d4eWXw9d19aDFi6FLFxg5Egy+e13Y/fyzr5vtzJmR37ugwHcXr0suAXvVu/uGiPgcP6+gi4iIiIiIVGLda8RxfQvjO8iVx2yCl7vXIjbKTFJSEsOHD2f16tX89ttvnHPOOX6t4XQ6+fTTT+nevTvdu3fns88+o7g49IWpq7Id9Pt9M+PWZYd87fLM3VdEv9838/WmnIjvLRKUK66A8883OoX/zjjDd1s8iSizJbjCzcpot8Md9j1ynE6G/D2dv/cG1tF9+/bt3H333TRq1Ijnn3+evLy8cud07NiRr776ihUrVnD11VcTFRUVbOxDEq1W3ujWgw969KK6LabC6/krxmzh0XYd+L7PGTRKSIjYviJy4tmzaLLRESrE63KSsfxvo2OIiIiIBGbNGvjoIxg+HHr1guRkaNQIWreGTp18hY4tWkB6OtSvDxdfDE89Bb/9Bjl6rZXiYrjvPjj1VFi7NnL7ulzw+OPQvTusXBm5fSPp889932+R6mZbmu+/h3PPBT9eDxKRysfk9erelyIiIiIiIpFQ5PLQ7/fNbM6vvFeH39oqlUc71ij1/Nq1a3nrrbcYO3asX8VBB9WsWZNbbrmFW2+9ldq1a1c454KMIq6Zvp0cp/G3XHry5Brc2LLyF1KLsHMntGkT+lvOhVp8PCxbBo0bG53khON228nZNz+ouRcOGsb+zBxmTvv4mHMzZy1if2Y2ALcNe4oundpww3UXA9CzR0fS030/QwsL7Uz+czYA8xes5K0xE3jwvutp1bIRcbGx9Ovbw68sTo+XHnN2URyhVz3jLFGMP+10ulRLL3Pcxo0bef755xk3bpzfF6H06NGDESNGcO6552Iyha9HfqbDwWNLFvHdtq1h2wOgc1o1Xu7SlWaJSWHdR0QEYM4zl5O7eZlfYyeuzWbU9N0lnrukXRo396jBnC35/LUxlw37HWzLduD2wh83tTpm/Lp9dv5Ym82yXUXsyXdiizLRKNXGkI7V6Fg3PqDnUP+MqzhpyIiA5oiIiIhEnN0OX34Jo0fD3LnBrxMbC1ddBbfd5ivMPdEUFsKll/oKj42UkgK//AI9exqbI5S++goGDw5/l+BA9O7t+28dG2t0EhEJgIptRUREREREImhppp1L/9xKgavy/SrWNT2WCWfUI8ZS/k1Q8vLy+Pjjj3nzzTdZvXq133tERUVx2WWXMWzYMHr06BFU4dCCjCKumLaNwkr0NXy0Y3VubZVmdAyR8n38MVx7rdEpyvbWW75bqknEeb1esvfOxet1BTy3rGLbCwcNY+bsxSXO++Gb1zm158kAbN22i5O7XV7iuPr1arF43ld+ZVmV7+TyJfv8Cx4iyVYrv5zZj8YJicfmWbWKZ599ls8//xy327+Ou2eccQYjRozgjDPOCGuR7dEWZ2by0cb1/LBtKw5PaC5oMQFn1KzFNU2a0a92bcwRfD4icuLyuJz8ObwLHpd/FzccLLa9t3ct6icf2em9WnwUNRKsvDx9F8t3F9I0PYZduU7WZdhLLLZ9d85elu0q5IxmSTRJs2F3efhlVTb/bCvgvt616d8i2e/nkdykI90fGu/3eBEREZGI2rEDXnsNPvwQ9u8P7do9esCdd8KQIWA+AW7aXVDg63b6119GJ/GJi4Off/bdfaqqmzQJzjsPnJWwCcr55/s63VosRicRET+p2FZERERERCTCZu4p5Jrp23F4Ks+vY21SbHx1Zn2SowN7Ucfr9TJ58mRef/11fvnlFwL5FbNz584MGzaMwYMHExPj3+2rV2bbuXTKtkrR0fZoL3atyZVNU4yOIVI2rxeuuMLXbaQyOvdc+OmnE+NNlEoqN3M5ruJso2NUyDd7CnhifeRvPdk9PZ2vTz/jUDHp4sWLeeaZZ/j666/9/vfxnHPO4ZFHHqFXr17hjFquTIeDL7ds5pONG9hckB/UGmnRNgY3asTVjZvSKCEhxAlFRMqWu20Vc/43yO/xB4tt3xjYkBbVS+4s5fF6D/2Mf3Pmbn5amV1isW12kYuU2Kgjjrk9Xu74bjN2l4dxg5v6nctsjeHM1+dhtkSVP1hEREQkUrxeX4Htf/8Lubnh3evUU317NW8e3n2M5HDAhRfCxIlGJzlSQgJMmQLduhmdJHj79vnu9LUvshdlB+TFF+G++4xOISJ+0jsXIiIiIiIiEdarZhxjT6tLrKVydHZrl2pjfJ96ARfaAphMJvr3789PP/3EunXr+O9//0tysn+dmhYsWMDQoUNp0KABI0aMYPv27WWOL3B6uOHvnZWy0Bbgofl7WLy/yOgYImUzmXzdbfv1MzrJsXr18hUBq9DWUFHWql8UuSLfmE4lczMyGLthHXPmzOGCCy7g5JNP5quvvvKr0HbQoEHMnz+fX3/91fBCW4A0m41bW7RkxlnnMO+c8/nwlF7c3ao1Z9aqTa3YWOKjorCYTJiAWIuFajYbp6RX5+bmLXiza3emDzibJedfyIh2HVRoKyKGyN2yIuRr+tuZ++hCWwCL2UTz9Bgy8gPrHu9x2inYvTGgOSIiIiJhtW0bnHMO3Hhj+AttAWbMgA4d4NVXIUR3YKl0br218hXaAuTn+/5bb9tmdJLg3Xln5S60BRgxAgK4e6CIGEudbUVERERERAwyL6OIoX9tJ7vYuBcJT6key4en1SUpiELb0uTn5/Ppp5/yxhtvsHLlSr/nWSwWBg0axPDhw+nVq9cxt83+v/l7+Gh9dshyhkOLpGh+O6shMRYVC0oll5/vu03Z9OlGJ/Hp3h1+/x1SUoxOcsJzOfPJ3b/Y6BhBc3q8DJi/hwyDLswwOV3svue/uHfvKXes2WxmyJAhPPzww7Rp0yYC6ULP6/Ue8++1iEhlsOHn0Wz48Q2/xx/sbPvaRQ1pnn7kXTcs5mN/zpXV2bYkbo+XG7/aSJzVzFuDGvudC6DTXe+R3ubUgOaIiIiIhMVXX0WuyLYkp57qy1CrljH7h8MPP8DAgUanKNtZZ8Fvv/ku4q9Kvv4aLrvM6BT+6dHDV1huCd37NCISHnr3T0RERERExCBd02OZck5j+tWJj/je0WYT/9chnQln1A9poS1AQkICt956K8uXL2fKlCkMHDgQsx+dKt1uN1999RWnnXYanTp14sMPP6SoyNcpdsaegkpfaAuwNreYV5bvNzqGSPkSEnwvkp9/vtFJ4MwzYfJkFdpWElHWBKKsiUbHCNqUTLthhbYAXmsUKbfcXOYYq9XKDTfcwJo1a/j000+rbKEtoEJbEam0PE5HUPPu+mEL536w5oiH21PxnjWfLMhgZ66TqzqlBzw32OciIiIiElJvvw2DBxtXaAu+YsTTToPNm43LEEqZmb6utpXdH3/A2LFGpwhMRgbcfrvRKfw3Zw688orRKUTEDyq2FRERERERMVCt2CjGnVaX17rXItkamV/RbBY797e3cnurNKJK6NIUKiaTiTPPPJPvvvuODRs2cP/995OamurX3MWLF3PDDTdQv3597nvkUe6etSNsOUNt9OpMFu8vMjqGSPliY+G772DkSLBaI7+/2QwPPwy//uor/pVKwxZX2+gIQftiV4HREbC1a4u1aZNjj9ts3Hnnnaxfv57333+fZs2aGZBOROTE4HE5g5p3f5/avDGw4RGPkjrbBuK31dmMX7yfS9ql0bNR4Be0BPtcRERERELmtdd8hYuV4cbZ69cfPwW3d90Fu3cbncI/99wD27YZncJ/r78O+/YZnSIwTz8NhYVGpxCRcqjYVkRERERExGAmk4lLGycz5ZxGdE43A+F60dIJ5p04TGt4esU8rp89kz1FkSkKbdSoES+88ALbt2/n3XffpV27dn7N279/P++s2s8uRyV4IddPHi88saiKvZAnJ66oKHj0UZg/H04+OXL7tm7t69jwzDNgs0VuX/FLdEw6JlOU0TECtr7QyfzcYqNjABA3oP+hj+Pj47n//vvZvHkzb7zxBg0aNDAwmYjIicEcFR3UvAYp0bSoHnvEoyL+WJPN6zN2c26rFG7qXj2oNYJ9LiIiIiIhMXYs3H230SmOtH079OsHu3YZnSR4kyfDp58ancJ/ubm+4uCqoLgY3nvP6BSBy86GL74wOoWIlEPFtiIiIiIiIpXA7qIiHlw0hwU5iyBqJZh3ASEqGDLlg2UzRK0Cyz440Jhp4q6dnDnpD77ZugVvhLoSxMXFcdNNN7FkyRKmTZvGJZdcgtlcxq+mliji+10RkWyhNC+jiOVZdqNjiPivfXuYO9fX5TYmJnz7REf7utkuXAhdu4ZvH6kQk8lMTHwdo2ME7OMdxne1PSju1FNJrl2bRx99lC1btvDCCy9Qq1Yto2OJiJwwLNHGX8zzx5psXv17N/2aJzP81JqYTMF1yDVbjX8uIiIicoKaOxduusnoFCXbsAEuvRTcbqOTBOfll41OELjvv4eNG41OUb7vv686HYOPNnq00QlEpBwqthURERERETHYnH37OHPS70zZfeBKfJMLLHsPFMduAvN+MBUCHj9XdIEpD8x7IGo1RG0Acw6Yji2ozXYWM3zeXIbPm4vT4+/6FWcymejduzdff/01mzZt4qGHHqJatWrHjIvpdAaWtJoRyxVKH6/PNjqCSGCsVl+X2+3b4aWXoGnT0K3dsCE8+6zvdnPqZlslxMTXwxIVZ3QMv/2T4+D7vZXnVnsmWzQjf/+NkSNHlvjvm4iIhJcttbah+09c6yu0PbNZEvecXivoQluA2DRjn4uIiMhxzeHwFQ+uWOG7MHjZMli/HvLyjE5mPLsdhg6t3MWss2bBq68anSJwGzbA778bnSJwXi+8847RKcpXlQtW58+HefOMTiEiZTB5I9W+SERERERERI4xZdcubp4zC7vHjxctvSYgBryx4I3Cd/2kCV8RrhdMDjAVAcWHutcGom+t2rzT4xRiLcbcOryoqIgJEybwxhtvsGjRIgCq/d+H2Nr1NCRPRcVaTCy8qClJ0Rajo4gEx+OBSZPg3Xfhr78gIyOw+WlpcOqpvg4o55wDFv1dqGpczjxy9y8xOka5Ct0eBi3axw5H5XoD8OS0NH4+o5/RMURETkh5O9Yy+8mL/B4/cW02o6bv5o2BDWlRPbbEMXvynKzdVwTA72tymL+9gBF9fZ3gayZaD837a2Muz/65kybVbNzesybmo345a5puI9riXy8ciy2OM1+bh6msu4GIiIiIfzweX0HtvHmwYIHvsXw5uFwlj2/eHDp39j26dIFTTjmxLh5+4AF48UWjU5QvJgYWL4aWLY1O4r+q8rUtSbVqvgv1w3lnrIrYsAGaNTM6RcXccguMGWN0ChEphYptRUREREREDDJt926GzpqB0xu5jrLlObNmLT7o2Ytos3FFcV6vl5kzZ/LCh5+xYMDdhuUIhac61eC6FqlGxxCpOK+X3BUruLZdOzoD7YFEIAaoW6cODVq0gIQEaNv23zeiGjWCCnRxk8qhMG8z9oLtRsco1edf/Mqwu58Fq5Uar79CVPXqR5zPeOxJPHm51HhlFAD2+QsomjUb5+bNuHbsBLebOl9/ccy6xRs2UvjnVIpXrcK9dx8mm42oBvVJHHQxtnZt/cpmM5tZc9EgrCqQEhGJOI/bxZ/Du+Jx2v0a70+x7cExJenfPIn7+vgKb1+atpNJ63JL3eujK5pQKzHar1wpzTvT7f5P/RorIiIipcjMhHHj4O23fV1rg5WeDjfc4CuEa9w4ZPEqpTlzoFcvX4FyVXDKKfD331XjQm+7HerW9X1fVlUffQT/+Y/RKUr2ySdBZRsHXHfg46lAn6POe4HmwAagNzDtwPGPgV+BRcA6oAGwOeDdj9KuHSxdWtFVRCRMjGlXJCIiIiIicoKbtz+DG+bMrFSFtgB/7tnN8Hn/MLpbD8wGFcmZTCZOPfVUNtVqy4L5ewzJECoz9xaq2FaODyYTu6Oj+R74/qhTrz34IMOHD498JomI2IQGOB1ZuF0FRkcp0foCp+8Dp5O88V+QOvzOMsfb/5lH8br1WBs3whRlxblxY4njimbMxLl+PXFnnIG1UUO8DgcFEyex/8n/kXLn7cT16V1uNofHw9rcXNqkpAT6tEREpILMligS67ciZ+Niv8YPaJHCgBYpFR4DcF+fOocKbysqqUGbkKwjIiJyQlq2DF55BcaP9xU4VlRGBjz/PLzwApx7Ltx1F/TvX/F1KxuvF+68s+oU2gLMnu0rshw61Ogk5fv776pdaAvw3XeVt9h2wYIKTU8EPuDYYtvp+AptE486/gmwG+iG7/6DzgrtfsDKlVBYCHFxoVhNREJMxbYiIiIiIiIRluss5ra5s7G7K9ftrg/6afs2ulVL5/pmzQ3NsSwz+BfBdw5p5de4ao9+hCW1BgVTvqR45Vxce7aByUxU3SYknHstsd3PDjoDwNIKPAeRymbPnpKL32vWrBnhJBJJJpOZxNQ25GYuxeOuXD/TluUVM353IQC2jh0pmjGDhAvPx9qoUalzkm+9+dCtuLPf/7DUYtuEgRdiufaaI47ZTj6ZfQ88SN7X3/hVbAuwNCtTxbYiIgZJbtTO72Lbyiq5kX/d1EVEROQwDgc89RQ8+yyE4/VXrxd++cX3uOIKeOMNX9fb48XcuRUuWDTEW29VjWLb+fODmjaOwDuv7gLeAqbg67pafGDMLcANQNB9gCvz90eQX9+DBgOf4fu6JR12/APgFODo+1f8ARy8n9H5wPIK7X6A2w1Llvg6NotIpaN7mImIiIiIiETYyKVL2FVUZHSMMj2zfCmb8/MNzbA0K/iirvSRE4542Dr2xhQdc8xxa6M2OJbOxLFoOjHdBpB616uk3vkiUbUakvXq3eR981aFnsOOQhf77a4KrSFSWezeXfJtk1Vse/wzW6JJTG2L2WIzOsohq/Kd3LZyP8UeLwAJAy/AnJBI7qeflznvYKFteSzJycfOtZixNmmCO2O/3zmXZmf5PVZEREKrZucBRkeoELM1hvS2pxsdQ0REpGpZuBC6dPEV20ai0cGECdCmja/T5/Fi9GijEwRn/nyYN8/oFOULUefVo5XUeXUB8DHQ98Cf3+ArxL0NuKkiIbZtg717K7JCeLjdsGhRhZYYcuDP8Ycdy8H3tbu+hPFhK7qrzAXNIic4dbYVERERERGJoKm7dzF+8yajY5SryO3m3gXz+Or0PphNpojv73B7WJ3jCHp+dPOOR3xuTkoFk/mY4wAxp5xH3ICrMB32PGM6no4nL4v8n94n4cKbMFmjg86yNMvBGbX167dUfaV1tq1Vq1aEk4gRLFExJKW1JzdzOR63sReMLMot5o6V+8lzew8dM8XEknDJIHLHjsOxbDm2dqHvBOh1uyletRpr/Xp+z9leWBjyHCIi4p+UZp1JqNOc/J3rjI4SlNrdz8Maf+zFHyIiIlICrxeeeQYefzwyRbaH27sXBg2Cq66C996D2NjI7h9KGRnwxRdGpwje6NEwdqzRKcoWwc6rvfAV4FoPO9YfX4fbt4AngfrBBlmwAM45J6ApXq8Xj8eD0+nE6XTicrlK/DPYc7F79nBtBV+HSQIuBT7E1wEYfIW3Znxf+1crtHoAVq6M1E4iEiC92yciIiIiIhIheU4n9y+s2ItpkTQnYx/jNqzn+mbNI773utxinJ7I7GVJSi3xeHTT9jgWTceTn40ltUbQ66/IsnNG7fig54tUFupsK2aLjaRq7SnM3UCxPcOQDF/sKuClzbnYPd5jzsUP6E/Br7+R++lnpD/3zBEXUYRC3pdf4d69m6QH7vN7jiPSb/KKiMghJpOJ+n2GsOrzkUZHCUr93kPKHyQiIiLg8cCdd8Lbbxub47PPYMcO+PFHSEwsf3xlNHYsFBcbnSJ448fDqFGQlmZ0kpLt3w9btlRoiSH4im3H828x6MHOq69zZDFoya96Qzd8xbbbCb7Y9r1bb+WD2rUDLowNpzbAtSFY53rgDGDFgTU/BC7jyK7BYVdQEMndRCQAYetoLSIiIiIiIkcat2E9u4qM7QYYqFGrVlDkdkV835ziCFXalsGxci7mpDTMydUqtE5upKqGRcLJ6yVj585jXkiKjo4mJSXFiERiELPZSkJKKxJSWmEyW8ufECI77C5uWJ7BUxtzSiy0BTBZo0gcMhjnho3YZ80O6f4Fk6eQ/813xF9wPrHduvo9z+FRsa2IiJFq97gQiy3O6BgBS27cnqSGbYyOISIiUvl5PHDjjcYX2h40bRr07w95eUYnCc4ffxidoGIcDvj7b6NTlG7nzgovcXjn1YMO77zqjz/xdWZsUYEcrq1bmTt3LgsXLmTp0qWsWrWKdevWsXnzZrZv386ePXvIzMwkNzeXoqKisBfaAsSEaJ3eQFN8X+NlwDx8BbgRVcXeRxI5kaizrYiIiIiISAS4vR4+2bTB6BgByy4u5uft27msYaOI7utwG1ugWvDnVxSv/Ieka/8Pk9lSobXs7pKLwkQqpeJiWL7cdyu4BQt8t7ZbswYKCxnj8TAG363msoAlwFqbDdO330LnztCwIYS4k6hUXtEx6URFJ0eky+2EXQW8siWXQj9+nsb26knBjz+RO34CMd27hWT/wj+nkvPue8T170vSf64OaK7VrF4HIiJGioqJp17vK9gy8cPyB1ciDftfZ3QEERGRys/rhf/+19eNtTKZOxcGDoRffoGYUJX/RYDXCwsXBjV1HHDw/16mAn2OXhpoDmzAV8g47cDxG4E5+DqsOvB1Wb0IeBBIDyoJvteyLroo2Nkl8nq92O128vLyyM3NJTc3N6iPm2VlMTUEeSrSeXUi8AlwF1CRFhOV8Ts7VK/Cm/B9P78O2PEVJZ8WorX9pteTRCotFduKiIiIiIhEwJRdu9lRWGh0jKB8tHF9xIttjaxPtS/+i5yxI4npfhbxZ11T4fU8XhXbShWweLGvC8xnn5V7m7JooCYwABiQlweXXuo70bQp3HorXHcdVKtYR2ipGg52uXU583EU7sJh3wfe0Fwskevy8P2eQr7cXcAWu//dYU0mE0lXX8n+kU9TOGlKhXMU/jmV7DHvENu7N8k334QpwILy2ApesCEiIhXX9II72LtwEkUZ24yO4pfqHc6kZuezjI4hIiJS+X34Ibz2mtEpSvbnn3DXXfDOO0Yn8d+mTZCVVaElEoEPOLbYdjq+Qtuji0ELgJuBZviKN+cDTwO/AovwvQYVsAULDn3odDr9KoT1p2DW5ar43d8aVHgFn8M7rw7F13l1lB/zFgKXAz2AZyuYIaj/NmEWyl6wQ4HHgDH4vicjLjbWiF1FxA8qthUREREREYmAjzeuNzpC0BZlZrI0K5P2qWkR29NmMaY7pn3J32S+PAxbu56k3vliwEVVJYkx6LmIlKu4GL76CkaPhlmzKr7ehg1w//0wYgRccQXccQd07VrxdaXSi7ImEJXcnNjExhQX7cVRtBu3K7gLTCzWBKJja3H65FlkOYN7I8vWvj229u3J+/obLBUo/C6cOs1XaHvaaaTcdktQ/yZUr0pdjEREjlNRtjjaXPsU80dda3SUckXFJdP6qsdD8nuIiIjIcW3rVrjnHqNTlO3dd+Gyy6BfP6OT+OewItVgDQY+A94Ckg47/gFwCpB71PjxR31+Jr6C3NuBGQc+D1TGxIm0qVGD3Lw87HZ7ECuET3GI1gmm8+oioD++DsO/ArYKZnBUcH445IRwrbrA/cBqwJDfIpKSyh8jIoZQsa2IiIiIiEiY7SgsZOqe3UbHqJDPN22KaLFtXFTkb5NkX/I3maPuxHZSV9LueQNTVGiuz4+16JZPUgn984+vA+3KlaFf2+GAjz7yPa69Fl55BVJTQ7+PVDpmcxQx8XWIia+Dx+PC7czH5crH7czH7Spk7949OJ3FeD0e7I5i8vIKWLN2C9cOvQWLNYGoqHhMBzrBtkhOYW5GRtBZkq6+kn0PPownJ4eo+vUOHXft24dz/QYA3Lv3AFA0ew4AlurViW7W1Hds1myy3x6DtVEj4vv3w7n+yItmrI0bY7Jay83RXt/7IiKVQlrLbjQ482q2/vmp0VHKdNKQR7Cl1DA6hoiISOXm9cLNN0NentFJynfDDbBsWdUonFu0qMJLDMFXbDseuOXAsRzgG3yFoa/6sUb1A38GW8yU7nYTtW8flavM1seozquLgH5AQ2AikByC/ZOqV6dH06ZYrVaioqJK/DPS56IsFtzdumGpYIfmg57zY8zKAw+A3UAh8PWBz1sfeASlY8dgZ4pImKnYVkREREREJMzm7w++WKhw6jSy33obrFZqvP4KUdWrH3E+47En8eTlUuMV342i7PMXUDRrNs7Nm3Ht2AluN3W+/qJC+aFizyEYTRMjeyMq+9IZZI66k+iWnUm79y1M1tDt3yypMt5US05Ydjs8+SS88AJ4POHf76OPYNIkXzeX884L/35SaZjNUZhtKVhtKYeOPfnMf3nllVeOGXvjrY9hsViOONYuJbVCxbbWJo2J7dWTohkzjzhevHyF79/Vw2SN8mWK7dOb6DtvB8C+cBF4vDg3biJjxGPHrF9j9BtE1Si/GKpdSuQuVBERkbI1u/ge9q+cRcHujUZHKVGNTgOo1e18o2OIiIhUfh98AH/8YXQK/2zd6rsL0DvvGJ2kfBX4HfygJOBS4EP+LbYdD5jxdb19tZR5LnydUhcDjwKnAr0qkKMasLMC88NlewjX8rfz6mJ8hbb1gElAqC4JvvSee7j04YdDtFoIde0KEydGbLsvgSePOnbZgT8fB54IduHOnYOdKSJhpmJbERERERGRMFuWHYIrqZ1O8sZ/QerwO8scZv9nHsXr1mNt3AhTlBXnxtC8kbw2L5cit4tYS2R+jUy1WWgYb2VLgTPsezlWLyBr1J1YUtJJHHgzzi2rjjgfVbcZ5riEoNdvn6ZbiEslsXgxXHVVeLrZlmXnTjj/fF+X27fegvj4yO4vlUZiYmKJx/Pz80lOPrKvir/d1OPO6EPcGX1KPJd693BS7x7u9/gj5t55O6kHCm+DZTGZaJ0Sin4xIiISClG2ODrf/T7/vHAV9sxdRsc5QmqLbrS7/nlMJpPRUURERCq3vDxf8WpV8u67cMst0KmT0UnKZg9NL9jrgTOAFUAbfIW3lwElvyIAc4BTDvv8XGACYCl5uF+MfDXWZDKRmJhIYmIiSUlJJCUlHfHxvu++o3pOTkj2Kq/z6hp8hbbg63677sDjoKb820k4YF26BDszvDp3DqrYduiBR3mWH/X5E1SgoLY0MTHQOuieuCISZiq2FRERERERCbOlIbhtka1jR4pmzCDhwvOxNmpU6rjkW2/GZDYDkP3+hyErtnV7vazMzqFztWohWc8f7dJiIlNsu3wW3mI77n072P/U0GPOV3v0I2ytuwe1dpLVTKOE8m8zLhJ206fDBRcYe4vFjz6Cdevgl18gJcW4HGKYhISSL1zIy8s7pti2Q0qoeq0Yp0ViUsQuUhEREf/EpNWm8z0fMH/UdTiy9xgdB4DkJh05+c7RWKJ1kZ6IiEi5PvsMsrONThG4t97ydeStRLxeL9nZ2WzevJktW7bQasUKWoVg3d74ijg/xFe8OA8YVcb4dgfGFOLrwvoc0B/4E4gLMkMwv4nHxcUdURR7dJGsvx/Hx8djPvD6fIkKC+HLL4N8ZoGZDew/8PEFJZwfi38FpiWqrMXjx0NH2A4dIEqvJ4lUVvrbKSIiIiIiEkZerzcknW0TBl6Ac+NGcj/9nGoj/q/UcaayXsiroKVZmREttm2fZuPnbaEpDEy97Tm4reRr/ZMuHUbSpcNCss/R2qbGqDuVGG/SJLjwwpB1KKmQWbOgTx/4809I869zqRw/yupse7SmiYk0iU9gY8Gx56qKAXXqGB1BRERKEF+zMd0e+Iz5r1xP0b6thmapdlJPOtz+BlG2YEtJRERETiBeL4webXSK4Hz+Obz0EqRG7sJSr9dLRkYGW7ZsOVRQu3nz5iM+zjvsouwPICTFtibgOuB1wA60AE4rY3w8cLBH6ulAd6AH8A5wT5AZeg8YQLtGjfwukE1MTCQqUsWNnTsHVWw7lMA7r/o7J2CNGkEE3ycIyKmngsUCbrfRSYLXp4/RCUSkDCq2FRERERERCaNdRUXkOivendUUE0vCJYPIHTsOx7Ll2Nq1DUG6wKzODc3trfzVuVpsRPcLh07V1J1KDDZrFgwcWDkKbQ9asgTOPddXBFxK8aUcn8rqbHs4h8PBuHHj2DJzBlxUUu+Vys+MiasaNzU6hoiIlCI2vS7dHvyclZ88zr4lUyK+v8frZautKf3ufBuzNTri+4uIiFRJM2fCsmVGpwiO3Q7jxsE9wZaPHsvr9bJnz54jimePLqgtLCz0ez3/R5ZvKPAYMAZ4OsC5XQAzsLYC+z/72mvQKhSlw2HQpUv5Yyq7yvwcataEiy+Gr782OklwTCa46SajU4hIGVRsKyIiIiIiEkaFLlfI1oof0J+CX38j99PPSH/umYh3TA3lc/FHt+qxNEqwsjm/4sXKRrm8cXL5g0TCZetWOO883+3pKpu5c+Gqq+CHH3wvIssJITExkehoKw3q1yImxkaMLRqX242zOB+Puxi7w8X777/PCy+8wI4dOzDFx1Pz7AGYbTajowdsQJ061I1Tl0IRkcrMllSNjre/we5/fmbV+KdxFUbm4sJt2Q5enr6bNfvX0+Pm1bRv3z4i+4qIiFR5b79tdIKKefttuPtuv18H8Xg87Nq165hutAf/3Lp1K/YQXlxdkeLWo9UF7gdWA9cGOHc64AGaBbt5VJSv82pldeqpUKMG7N1rdJLgXXKJ0QnKdvvtVbfY9uyzoaku3hapzFRsKyIiIiIiEkZ2T+huV2SyRpE4ZDDZr76OfdZsYnv1DNna/rBH+NZLZpOJa5ql8L/F+yK6b6icXjOOpknqUiUG8XrhxhshO9voJKX76Sf4+GO4NtC3XaSq8Hq9uF0FuJx5uJ35dG6fytb1E7Faj31JMnvfP+zbl0X1VDtXDzmLJUvXMGvOEor+nkF8v74GpK+Ya5sE/bagiIhEkMlkonb3C0hr2Z2Vn40Ma5dbt8fL98uzGDd/H8VuLwC33norM2bMwGw2h21fERGR44LXCxMnGp2iYtatgy1bDhWCulwuduzYcUw32oN/bt26FWcI7pjmrwUhXu+5cs7/DLwHXAg0BJzAfOBVfIW2Nwa7cdu2EFOJ7zYWHe3rXPp0oD1/K4maNWHQIKNTlK1PH19n49WrjU4SuNtvNzqBiJRDxbYiIiIiIiJVSGyvnhT8+BO54ycQ071bRPeOdCdd8HWGfXFZBvYDb0ZXJdc2TzE6gpQi3+khz+nG4fbiBWwWE/FRZpKjLUZHC50PPoBJk4xOUb677oJ+/aBuXaOTSAh5PS4c9n04Cnfhdv3bWTku1ozvZpAlq149lbP69+Ss/r6LSYqKHHw/eTbfxVlYVRjZCz4qomVSEqfWqGF0DBERCYAtpQYn3/EmuVtWsG3a5+z65xc8TkdI1rYmphHTqg+XPfgKO7KKjjg3e/Zs3n//fW6++eaQ7CUiInLc2roVMjKCmjoOuO7Ax1OBPked9wLNgQ1Ab2BaCWvsAVoDmcBXwKVBJYE3hg7lG2Dz5s1s374dd4SbG5RlMeAGIvXqWDMgGvgfvq8vQCPgBuAhIOj7hXXuXNFo4XfzzfDss+DxGJ0kcDfd5CsYrsxMpv9n777DmyrbOI5/kzTdk5ZS9t5Q9t5bRUFRRByIAipbcQ+QoQgqMhyolSkIDpwvKMqeiuwNQpllds+0We8fh1XoyD4t3J/r6gU5ec7z3GlLaZLfuR8YPhxGjlS7EvtUqgR33612FUKIQkjYVgghhBBCCCHcyFfr2pcnNRoNwY8/SsLEd8n8y31dl/Lio/N8ELGEj45eFYL47kSqx9d2hiYlnoBTCVDOs92Hxa3SjGZ2JRjYl2RgT6KBfYnZnM7IuytIlJ8X9cN8iC7hS/0wXxqH+xLuWwxfOjl9GsaMUbsK26SkKG8w/O9/Nm+jeKfLNps5kppCQnY22WYLJqsFb60OX52OyoGBlPP3V+XiCACzKQtDRhzZhstgdf4NQz8/H/rf15H+wN60HJacz2D55SyK8uUXWjR80LgZWvl+FkKIYim4Yl3qPvkuNR56mXNbfubs5mVknDtm9zwarRchVRtQvv0jlGrcHa3emydPwuTJk28Z++qrr3L//fcTKRdqCCGEEPnb4Xzf1SBgDreGbdejBG2DCjh3OOCKXqnp69ez3gXzOCMqKopKlSpRsWLFW/7UPPigQ91AB175KMz+G/5eCyW47HLFIWxboQL06gU//6x2JfbR6eDZZ9WuwjZDhsDs2XDwoNqV2G7aNOVzLIQo0orhO0ZCCCGEEEIIUXwE6vUun9MnOhqf6GjSfliGLjzc5fPnJ9BLnaeQw2uH88upNLItRTlelVvSd7PoMPR7hg0bxuTJkwkODla7pDvOnkQDC/5L4pfTaTZ3Rr6QZeJClom/zmUAoNNAj7KBDKgWSttS6gUY7fb885CWpnYVtluxApYtg4cc7QtzezuTkcG6ixfYl5TEnuREjqSkYrTm3/kk1Nub6NAwosPCaBhWgo5RUfjp3Pvz22q1Ysg8R1baKcA9XVmig7yJDvLmoVL+jDuWzGlD0en+c6NnqtegiQf/bxZCCOEe+oBQKnYbSMVuAzFmppF2+iCppw+QeuoA6eeOYc4xYDEaQKNFp/fByy+IoPI1Ca5Ql+CKdQksVxOd3ifXnG+99RZLly4lNjY21/Hk5GReeuklFi5c6MmHKIQQorgxm+HIESV0euECZGWB0Qg+PuDrCxUrKiHDypVvz4tZXRC27QcsBj4Fbnylbg7QCsjvUv9lwMor5z3pZA3ujoFqNBrKli2bZ5C2UqVKVKhQAV/fAmLDrVo5FLYtUlq0ULsC24wZU/zCtg8/DOXKqV2FbXx8YP585Xu6CHWQztcjj0CfPmpXIYSwgcZqtRafdyuFEEIIIYQQopixWq3U+98vJOfkOHR+5tp1JH86m4gpk/GuVvXacWPsCS6/+jpYrXiVL0fk9GkAmC5fxnjsuHLu6rVk795N2IsvAKArWTLXHPZ6r1FjBlSp5vD5zph9KJF39lxWZW17Ze/bTMLkQdduly1bls8++4xevXqpWNWdwWix8tOpVBb8l8zuRINL564a5M2AaqH0rxJCgF7r0rld6uRJqFIFitvLPe3awYYNaldRZJitFtZduMiC2GOsuXDeqU6uod7ePFKxMk9UqUqlwECX1XiV2ZRFRspRTEbPBbyzzBZmnUpj8fmMItXltmpgECu7dnN7uFkIIUTx9ccff3B3PlvDrlmzhk6dOnm4IiGEEEWW1Qpr18Kvv8L27bB7N2RkFH5eWJgSum3WTAnGNWzo7ko945574PffHTp1PvAUsBq4F5gOXO3NmQKUBmYBM4AIYN0N5yYCdYA3gGigE0o3VkcvF74MONPLXqfTUa5cuXw705YvXx5vb2/HF1i7Fjp3dqJCldWtC/v2FZ/A+bPPwpdfql2FbcLD4cABKFVK7Urs88Yb8N57aldRsMhI5XMbEaF2JUIIG0jYVgghhBBCCCHc7NGN61l/6aJD5+YXtgVImjGLrE2bc4Vtr47Pi1/HDoSNGOZQHQArOnelQVgJh893htlipffq0+xKcG2A0tUsmelcfrUX5vhzt9zXt29fZs2aRVRUlAqV3f4OJWfzwj/n2ZeU7dZ1ygfomdY8ijal/N26jsNeew2mTlW7Csfs3Qv166tdhaqyzWbmHT/GguPHOJ1pw5uodupUKorhNWvRqqRrtqk2ZF4gMzUWd3WzLcyOlGzGHEki0ajO+jfy0mhY1qETTcPljREhhBAFe/jhh/n++1s3Ta5ZsyZ79uzBx8cnj7OEEELcMZKTYeFCZftzV3QYbd0ahg1TdpMpzv/HtGgB27Y5dOp8lLDtvyih2iPAP1fu+xx4CTiP0t325rDt48BxYDOwAefDthagoE3i9Xo95cuXp1KlSnkGasuWLYuXO3cfs1qhTp3i293200+V7/fiIjVVeS3s9Gm1KynckiVK99XiJjsbGjeGgwfVriR/y5ZJV1shihEJ2wohhBBCCCGEm723fy+fHCmmL1BeoddoOdL7AXx0Bb0c7F7HUrPp/scpsi1F92lscsw4Mtd8l+/9oaGhfPjhhzz99NNoikuHhSLOaLHy6aFEZhyIx5N5uyerhfJmg5JFq8utwQDly0N8vNqVOOa555Q3E+9Qe5MSeWH7vxxOTXH7Wk9Urspb9aMJ1OsdOt9qtWLIOEtW+ikXV2a/E1kmntmfwIUc9bYE1ACfNm9J7/IVVKtBCCFE8REXF0ft2rVJS7u1K/zEiRMZO3asClUJIYRQXVISjB0L8+ZBZqbr54+IgNGj4ZVXwJnOp2pp0EC5SNcB87ketk1HCczuB+oCza/8OQ+oR+6w7XLgAWDnlfvW4XzYFqBe9eqUrVw5z860pUuXRqfi668AfPwxjBqlbg2OCAyEuDgIDla7Evv89Rd07652FQXr0wd++KH4dAy+2ZEjyq5al4vgznmvvVb0O+8KIXKRsK0QQgghhBBCuNnyuLM88/cWtctwSr3QUFZ2Uf9Fv2+OJ/Pyv451CXa3nuUCqLZ1CW+PG4fBUHAH3k6dOvHFF19QvXp1D1V3ezqVnsOzm8+5vZttfsoH6JndujSNwv1UWf8WixbBE0+oXYXjAgLg3Lni96aIk7LNZmYePsgnRw5j9uDLdOX8/ZnWpBltI+3f/i8z7RSGjDNuqMox5wwmntynXuD2/cZNeKxy1cIHCiGEEFfMmjWL0aNH33Lcx8eH/fv3U61aNRWqEkIIoZrly+GZZ5TnxO5Wvz7Mn690eixO6tZ1uDPlfK6HbZsA1YHewEAgGqVjbTtyh21TUEK4TwGTrsyzDteEbcnIAP8iumMSQEoKlCnjntC3Ow0dCp99pnYVjhk5Ej75RO0q8hYVBbt3Qyn7Xz8qUnbtgk6dlO/vomLoUKUbc3ENMQtxhypC7VeEEEIIIYQQ4vbULDwcXTF/wSR9z17279+vdhk8WjWUNxsUvS26O5UO4JNWZXnl5ZfZv38/Xbp0KXD82rVriY6OZsqUKRiNRg9VeV1itol15zP4/HAiH+yL553dl5i0+xIf7Ivns0MJrDqXzmWDyeN12eNwcjYPrDqtWtAW4EyGkYfXnmHjhQzVasjl11/VrsA5GRmwZo3aVXhUXGYGPdeuYubhQx4N2gKczcyk38b1TNq7B4sda2dlxBWpoC1AGV8vvqwXTgkPd5rWaTR83KyFBG2FEELYbfjw4TRp0uSW49nZ2QwfPhzpkyOEEHeIpCQYOBDuvdczQVuAffugeXMYNw5ycjyzpiv4+rpkGg1KgHYR8DlQAyVoe7M3AT0wAki+8pF+5b7MK7cd/t/aRY/FbUJClC7IxYmvL4wZo3YVjps+XekeW9SEhcGffxb/oC1Ao0awerXS5bsouBqwLubvGwlxJ5LOtkIIIYQQQgjhAYO3bub3c3Fql+GwS8+PwXQ2js6dOzNq1CjuvfdeVbc0m3Uggan74lVb/0Ydo/z5qm1Z/Lyuh7ysVisLFixgzJgxJCUlFXh+gwYNiImJoVmzZm6rMSnbzI+nUvn7UiZ7Ew2czbQtSBvl50V0CV+aR/jxUOVgSvp6ua1GexxMNtB3zRmScyxqlwKAt1bDvHZl6Vg6QN1CqlSBEycKHDIf5U0lgLVAx5vut6J0eDkOdEDp2nIe+BRYDfwH5FwZ8ywwCLjxJ8EalDestgBngFCgKTAOpXtMod56CyZNKnzcbeBYWir9N27gXJb6nWIeqlCRaU2a4aUtOKxqzE4iLemAh6qy37aUbAbvT3D8DU87RPn68VHTZnQoFeWB1YQQQtyOtm/fTvPmzfMM1i5dupR+/foVeL7FbMKQEIfJkIHFmA0aDVq9D16+gfiFl0VTyP/rQgghVHboEPToAWdUvJixWTNYsaLohM8K0q4dbNrk0Knzud7ZtikQB1S4ct+7wGtX/n5jZ9uOwPpC5k1Ced3DLt7ekK3eheM2MxiU7seHDqldiW2mTSveYVtQvi8eeAB+/13tShQhIbByJbRooXYlrnX4sHKBw/Hj6qyv1cL48cproBK0FaJYkrCtEEIIIYQQQnjAhosX6b+psJdoi6bs/QdIGD8x17HKlSszYsQInn76aUJDQ1Wpa/5/Sby145JHQlX5ubd8EB+3LI23Lu8Xxi5dusTzzz/PkiVLCpxHq9UyevRoJk2aRECA6wKbexINzP8viV9Pp2EwO/eZ0mvhnnJBPFktlOYl/dCo9GLgibQcHlh9mssGdbaLz4+vTsOSjuVoXlKlbQATEyE8vNBh81HeYApC2TLx65vuX4eyJWIQ0PjK7f8Bw4ABQGuUzi6/AzOBJ4G5N5zfF0i48mcd4DIwDdgOrAQ6F1bg3Xcrb/Td5mLT0uizfi2Xsw1ql3JN73Ll+bh5C3SavIM5VouJlPhdWCxF+03Bd48ns/SCewPMfStWYnx0Q0K9vd26jhBCiNvfyJEj+SSPLYOjoqI4fPgwISEh145lXjpN0rGdpJ0+QOqpA6SeOYwlJyvPeXU+/gRXqENwxboEV6xLaLXG+IWXddvjEEIIYacdO5SgbUKC2pVArVrw119QrpzaleTLarWS8uCDhP70k0Pnzyd32BaUgO1hYDZQ+sqxG8O2u1G6195oN/ACMB7lAuW2gN2Xpderp3QXLg62bYNWrcBSNC52z1ebNrB+PajYGMJlcnLgiSfgu+/UrSMyUulo26CBunW4S0YGvPEGzJrl2XVr1oR585R/V0KIYkvCtkIIIYQQQgjhARarlQ5//kFseprapdgtcdp0DFv/zvO+gIAAnnzySUaOHEmtWrU8XBn8ezmTF7Zd4ESa0aPrBnhpGNswkserhtgUOl2+fDlDhw7lTCHdSipVqsTnn39Ojx49nKpv66VM3tl9md2J7gny1Q7x5rUGJelaJtAt8+cny2Sh+8qTxHr4622rUG8tq+6qRGl/vecXX7UKunUrdNh8lDeYBgOLgQtA8A33P4HS1TaV628wJQGBKCHbG41A6Xh7Gih/5dglIPKmcelANZQ3rVYVVmBkJFy4cFt3djiXmcn969cQl6l+R9ubPV65ClMaNcnz51pGyn9kZ11UoSr7ZJotPLjrMmezXR/IL+Xry/uNm9K1dBmXzy2EEOLOlJKSQq1atbhw4cIt9w0fPpxZM6Zzac8azqz9hqSj25xaK7xuO8p37E/J+u3RaG+DMIoQQhRXe/ZAx46QnKx2JdfVqAEbNhSpreJPnDjBmjVrrn30uXCBTx2caz63hm3zcmPYNi/rUC5Q/h54yMFaePJJmD/f0bM977XXYOpUtavIn6+v8m+qRg21K3EdsxkmT1Z2fjKq8Bpou3bK92iVKp5f29M2bICnnoLYWPeuo9UqnZcnTgQ/P/euJYRwO9lDRgghhBBCCCE8QKvRMKBKVbXLsJs5MRHDtn/zvT8jI4PPPvuM2rVrc9ddd7FixQosHux20KykP3/1qMQzNcPwVDSvbSl/Vt9VmSeqhdrc3bVnz54cOHCAUaNGFXjOyZMnueuuu3jiiSeIj4+3u7YMo4W3dlzkoTVn3Ba0BTiUksOTG+J4/u/zJOd4rsPs1H3xRTZoC5CcY+HV7Rfz3ArY7XbssGt4/yt/3thzOQVYBjx909gwbg3aAjS/8ufZG47dHLQFJahbB7BpY8xLl+Ds2cLHFVNmq4Wh27YWyaAtwKITsSw9eSLXMavVyj9/rykWQVsAf52WyTVc+39CjaBg3m3YmA3d75agrRBCCJcKCQlhxowZtxwP8tGS+ve3rH6pPXu/eN7poC1AwoGN7P50GBvf7M6J32MwGTKcnlMIIYSdjh+H7t2LVtAW4OhRpdNuSopqJcTFxbFo0SKefvppKlWqRJUqVRg8eDDffPMNFy5cwL5XPYqwJk3UrsA+48dDixZqV5G/WbNur6AtKB16x46F7duhUSPPrevnBzNnwrp1d0bQFqB9e9i7FyZMgDJueL1Hq4XevWHLFvjgAwnaCnGbkLCtEEIIIYQQQnjI41WqUDnQs51AndXk/EX8fXxsGrty5Up69uxJrVq1+Pjjj0lL80wXXz8vLW83iuSnLuVpWMLXjSsZCfS5gLf+JN+ePsKf586RZTLZfHZQUBAzZ85ky5Yt1KtXr8CxixYtolatWixatMjm4OaWi5l0/eMk8/5LtrkmZ31/MpUuv59k1bl0t6+17XImXx1Jcvs6zlp9LoPvT6Z6fuE8uqEVJBilC8vcG44tQXmhqJ+Nc6xB2S6xsLc0UoCdQF1bi7PzsRQnX/33H9uLwjahBZiwdw9xmZlYrVaWL19OmzZt0JiK19ekUbA3i5rVJTo0zOE59Bot95Urzw/tO7KmWw8GVq1GoF6FrtVCCCFuew8//HCunS1aVQzky4eq8HjjCKyZyS5fz5Bwjv9++ogtE3qRcGiry+cXQgiRD5MJHn1Uuci0KNqzB154wWPLxcfH88MPPzBs2DBq1apFuXLleOKJJ5g3bx6nTp26tTzA9lfhchsIWCm4qy3AfvLvagvQ8co8Dne1BWhaWBVFjK8vrFgBdW1+Vcdz3n0XhgxRuwr3iY6Gf/5RuqG6+/WIdu2U0OmoUUpA9E4SEADjxsHJk/DDD9C5s/NzRkbCm2/CiRPw889FO7AuhLCbxqpKuxUhhBBCCCGEuDP9Gx/PA+vXUByeiHWJKs2C1m1JTk5mzpw5fPLJJ3m+2J2foKAgnn76aUaMGEG1atXcWGluuxOyWHAsmV9Pp2Ewu+AzrUkDbQJoUri5VWKwXs/DFSsxoEo1qgYF2TxlTk4O77//PpMmTSInJ6fAsT169GD27NlUrlw53zGfHkpg8h77O+G60rBaJXijQYTN3X7tkWWy0G3lSU4U4a62NwrWa1lzdyVK+3swmPfcc/DFF4UOm8/1rRPTUbY/3I8ShG1+5c95FL514p/A3cBo4KNC1nwc+Bb4G7Cpf8uGDcqL/LeZY2mp9Fj1FwaL57pBO6o2GhInT2HXzp107NCMZUsL+yoXPV76YILDo7lsMLA3KYm9yYnsTUpiX3ISidnZZF/pwq4BfHU6KgYEEh0WRnRoGPXDwqgbEoqfl5e6D0IIIcQd4/jx47RoVJ9BTULpUj3Eo2uX69CPGg++jJdvgEfXFUKIO87778Orr6pdReGWL4d77nH5tCkpKWzYsIG1a9eyZs0a9uzZY/cc27HxdYWiytsbkpLA31/tSux3/jx06wYHDqhdiWLcOKXrrhtehyySzp+HmBjltb9z51wzp5cXPPAADBsGHTrcOZ9LWxw+DKtWKTuJbd8OBw9CQbv5lSypdK1u0kQJ1vboofx7F0LcliRsK4QQQgghhBAeNn7PbmKOHVW7jAIF6/Ws6daD0n7XX/w1m8389ttvzJw5k3Xr1tk8l0ajoWfPnowaNYquXbu6JYyZl8RsMz+cTGHzxUz2JRq4aLA14GYGTRZoMkGbCJpsm85qF1mKZ6vXoFNUaZtrPHLkCM888wwbNmwocJy/vz/vvPMOo0aNQqfTXTtutVp5b288nx5KtHlNd3qsSgjvNS2FTuvar/H0/fF8uL9odwO9WZ+KQXzcyoPbzQ8aBHPnFjpsPtfDtk2A6kBvlC4v0cAGoB0Fh213Ap1RgrlrgIJ6X48F3gE+BkbY8DAA5cXsLl1sHV0smK0W+qxfW+S72t4oefYXZK5ew9fzJnPPXcUz/Bwc3ggvfd7BIYvVislqQa/Reuz/JSGEECI/iUe2sWX6s3hbDKqs7xtehgbPziSkUsE7cAghhHDQoUPKdvDZtr3GpKoyZZRAZWioU9NkZmayefNm1qxZw5o1a9i+fTuWgsJqNhgNzHBqBpU9+igsXqx2FY5LSFCC2Nu2qVvHRx95tAtzkWI0wm+/wezZsH69cttelSvDwIFKV+DStr+OfUfLzIR9+yAxEbKylE7lfn7KR82aUK6chJWFuINI2FYIIYQQQgghPCzLZKLb6j85kZ6udin5mt60OQ9XrJTv/Xv37mXWrFksXrwYg8H2N4Tr1KnDyJEjeeKJJwgI8FznpMsGA2P+3cWaCylg9QV0wNUtsayABTQGJWRL9i0dbO3xQPkKTGzQiBI+BUUQr7NYLHz11Ve8/PLLpKamFji2adOmfPXVVzRo0ACAKXsv8/HBohG0veqxqiFMbVrKZeE1o8VK81+Pc8nmsHTRoNfCv72qUtLXQ50xhw1TXmgvxHyuh22bAu8Cs1C2QFwFHLkyLr+w7S6gK1DlyviC+q5NAMZfWeMNWx7DVRs3Qtu29pxR5P1y5jTDtv2tdhl2saSloZvwNrs2Lc4V8i9OfPyiCAjxXGd1IYQQwhGX9qxl7xfPYzEVvOOFu+l8A2g0/DNK1Gyuah1CCHHbMZuhTRtlO/ji4qmnbLqg90Y5OTn8888/18K1W7duxehIEDAPderUoXPnzvRo3pyezz6LJivLJfN63KZNyvdCcZaVpXSVnTYNPB01qlAB5syBrl09u25RlZ0N+/cr3Vd37IBdu24Ng/r7Q61a17uuNm4MkZFqVy6EEMWahG2FEEIIIYQQQgWHUpJ5cP1aUlz0orMrPV65ClMaNbEpLBkfH09MTAyffvopcXFxNq8RGhrK4MGDGT58OJUqVXKi2oJZrVZ+PXuGN3fvJCnHc29el/TxZWrjJvQoU9bmc86dO8fIkSP58ccfCxyn0+l4+eWXKfvo87x3INnJSt1jRO0SvN6gpEvm+u10Gs9tcdH2aB72av0IRtUN98xiY8bA9OmFDptP7rBtHFDhyn3vAq9d+XteYdurQduKwGogrIB1rgZtxwNv21L/Ddr7LeFUyQqUKZNDlSpa6tTxp3HjErRqVYbQUF87Zysa+qxfwz/x8WqXYbdBF4/wfJ9OapfhOI2WsJLN0Wg9FHoXQggh7HRp1yr2fPE8VkvRuLBMq/eh8cgvKFGrhdqlCCHE7ePnn5Wt2oubo0ehevV87zaZTOzatetauHbTpk1kZma6ZOkqVarQuXNnOnfuTMeOHSl9Y/fNwYOVwGVxEx0Nu3ffPt0vt25VuqMe9dDubc8+Cx98AEFBnllPCCGEyIeEbYUQQgghhBBCJdsT4nlk43qyzEXjjVWA3uXK83HzFug02sIH38BoNPLzzz8zc+ZMNm/ebPN5Wq2W3r17M3r0aNq3b+/SrbyzzCZe2P4vv50947I57dW3YiXeb9wEb63tXSF/+uknhg8fzvnz5/Mdo69Sj5KTvgU75vW0bzqUo0Np57sXP7TmNFsvFc+OJWX8vfj73irotB54I2XmTHj++UKHzSd32BaUgO1hYDZw9e2rm8O2u4EuQDlgDVBQhHgSMA5468rf7VWSS8STd1hbq72Av/9lwsNTKVPGSJUqWurWDaBx4xK0aFG6SIZxD6Uk03XVn2qX4ZBFNQJpUDJY7TKcEhRWF71PQdFwIYQQQh0Jh7ay8+NnsZqK1gWYOh9/mo6ZR0jlaLVLEUKI20P37vDXX2pXYb8xY5TupVdYLBb279/PmjVrWLt2LevXryclJcUlS5UpU+ZauLZTp04FX5i/c6fSobO4+eILeOYZtatwrawsGD8eZs0CO3Y+s0vNmvDJJ9LNVgghRJEhYVshhBBCCCGEUNG2+Ms8uWUTqUWgw+2DFSryUZNmeGntC9rebMeOHcyaNYulS5eSY0c32QYNGjBq1Cj69++Pn5+fUzWkGY08tWUTW+MvOzWPK3QsFUVMy9b4e9neWTE5OZnXXnuNL7744tY79d6UnLwMfbn8u4sUBWX8vVh9VyWCvR0PBP+Xkk3H30+6rigVzGtXlu5lA92/0KZN0K5docPmc2vYNi83hm2PAG0AK7DgyvEbVYVr0dhpwEvAXeTd0bZlIfWdoiyVOFvIqPwVxTDu67t2sDD2uMfXdZaXBv5uWRofG8Li/Z94hb+37WPTmvmULVsq131JSam06fgEFSuWYfnPn/Le+3PYf+A/9u7/jwsX4nnk4bv4dOabt8z59eLfWPnXFvYfOMbl+ERKR5WkQ/umvDxmIFGlbv4uzJ9fYEX8AsvbPF4IIYTwBEPiebaM74XJkK52KXnyDo6g9fhf8Q6UC1aEEMIpR48qYcFiyBoWxrG1a1m9deu1gG28i3ZsCQ8Pp1OnTtcCtjVq1LDvAvx774Xly11Si0dUrAgHDkCA8xelF0mJibBgAXz2GRw75vx8Wi307g3DhkHnzsptIYQQooiQsK0QQgghhBBCqGx/chJPbtnEhSz1uncOqVaDcdEN0Lqws+zFixf54osvmD17NhcuXLD5vPDwcJ555hmGDRtGuXLl7F43w2TkkY0b2JmYYPe57tKqZEm+btMOP519W5lv3LiRIUOGcOTIkWvHgvq9QND9z7q6RLd4rEoI7zePcvj8L48kMmGX+oFpZwyoFsp7TUsVPtBZ6ekQEgIWS4HD5mN/2PbqOfmZBwy88veOwPoCxhb6IlSfPiTPWcw//5xn585EDhzIIDbWwrlzehISgsnMLInF4vj3lKfDuJkmEw2X/0qGyeTSeT2hhr8XyxpF2jT24qUE2nZ8kgbRNfhh6Ue57ntm2AT+WLmZdavmUqVyOcpX6UadOlWpV7ca3yxdQZ/7u+QZtq3b6AHatm5Ety6tKB0VwbHjZ/hwxgLMZjPr/ppLZMkSNtWm9wknKKy2TWOFEEIIT7Bareyc9QwJBzapXUqBoprfS/TgD9QuQwghircxY2D6dLWrcNhTKK8JOCs4OJgOHTpcC9fWq1cPrTMByrNnoW5dSE11QXUesHq1Ehq93VksymOdPx/++QeO23HhsZ8fNGyodLAdMgTKy0WzQgghiiYJ2wohhBBCCCFEEZCSk8P4vbv57tRJj65b2s+PDxs3o2OU4+G1wuTk5PD9998zc+ZM/v33X5vP0+l0PPjgg4wePZpWrVrZ1OHCYDbz5OaNbLp8yZmS3aJrVGm+atUGvZ1vJhgMBt59912mTJmCpkItIiZ9i0breLdYT1vSsRztoxzr3DFy6zl+PJXm0Lnn+teyaVz42AX41GmR65jx7DEuv/4AmIxEvPM93lXrO1QDQKMSvvyve0WHz7dL3bpw8KBn1nKXd9+FN94ocEhiYta1MO7Bg5lXwrjeJCYGkZkZicXieLjZ1WHcvy9f5sENax2uR033R/oxqbrt3ex+/nUNg559m2lTX2LggN4A/G/FBp4c9CYfTBnD008+AChbj159U7VC1e7cd2+HPMO2l+OTKBmRe/1duw/T9e4hvP7KYF564Umb6tLqfAgt2czmxyGEEEK429lNP3Bw4Vi1y7BJw6EfE9lItm0WQgiHmEwQGQlJSWpX4rDNQFsHzvPz86Nt27bXwrWNGzfGy44dn2wydy4MGuTaOd3huedg9my1q1BHcjLs3Ak7dsDhw5CVpXx4eYGvL5QoAY0aQZMmULu2clwIIYQo4iRsK4QQQgghhBBFyOrz53ll53YuGNzf5bZ/pcqMi25AsN7b7Wtd9c8//zBz5ky+//57THZ0emzSpAmjRo2iX79++Pj45Dtu7O6dzD3ugu3K3GREzVq8Xi/aoXP37dvH/b8dxFCloWuLcjNnwqYdVpzgWGqOQ+fm/Lc71+20H2eTc/Afwt+an+u4V9lqaP0Dr922WszEv/0o5oTzWJIuOR229dFqOPJQdfRa13WNztfAgcq2fcXZypXQvbtTUxSlMO4XR48wcd+eQufNXLuO5E9ng15P5KzpeJUsmev++HETsKSlEjl9GgCG7TvI2rIV48mTmOLOgdlMmR++zXPu1CVLMZ44hfHkCSyJSfh17EDYiGGF1vR65WAeLRNY6LgbDRk6npV/bWHT2gUEBvjTusMT1K1TjWXffpTn+ILCtnmxWq2UKt+Jx/v35KMPXra5rtDIlmi18qadEEII9RkSz7NlfC9MhnS1S7GJd3AErcf/ineg7RfgCCGEuGLfPoh27DWg+VzfYWYtyi4yN7IC1YHjQAeUXWkAKgGn8pjvWeBzB+rIAYKu/FkQvV5Py5Ytr4VrW7RoUeDrdy5htcI998Aff7h3HWdUrKh8HwQFqV2JEEIIIVxEXmUWQgghhBBCiCKkS+nSrOnWg5mHD7L05AlSjEaXr9EyoiSjatWmQyn3dbPNT4sWLfjmm2/48MMPmT17Nl988QWXL18u9LwdO3bw5JNP8vLLL/Pcc88xdOhQom7qxrv18qUiHbQF+OzIEe4uU46GJWzb/vxGIZVrkl3Fc8FoV9mVaGBvooHoEvZ1BE03WjjuYNAWwLt6w1y3tcFhoNHecvxmGSvmY068QGCvwaQumOzw+ldlW6wcScmmXph9j98R5gcfRFecw7aRkdChg9PTlCjhx913V+Huu6vkeb8zYVyLJYr09CjS0+HUKdi6Nff9Wu15AgIuU6JEGmXLGsnqmwr27HxoNJK25FvCRo0ocJhh27/k/HcMfeVKaLz0GGNj8x2b8b8VeFWsgG/TpmSusb3Lboje/i093588hs1bdzPyhSlEhIeSYzQya/prds+Tn81bd2M2m6lZs7Jd51ktJpCwrRBCiCLgv5+mF5ugLUBOajyx/5tNrUcK3nlACCFEHnbscHqKIGAOt4Zt16MEbfOKcLYBPrzpmKOXnHoD9YCdNx3XarU0bdqUTp060blzZ9q0aUNAgGO7GjlMo4GvvoIWLSAuzrNr28LHB77+WoK2QgghxG1GXmUWQgghhBBCiCImxNubcdENeblOPX45e5r5x4+zL9m5LecCvLx4qEJFBlSpRq2QEBdV6rgyZcowadIk3nzzTZYuXcrMmTPZvXt3oeddunSJiRMn8t577/Hwww8zevRomjVrRqbJxIs7/nV/4U6yYOWF7dv4vUs3fHU6u85ddDyF4ro1zcJjyXzY3L5w96Fkg8cfr+n8SdK+/5iwkR9hyUh22bz7k9wbts3JyWHhwoVMmTyZP4G8I6bFwJAhyptRbubeMG5p0tJKk5amhHFL9vsdPQaba/Np2JCsTZsI7HUv+kqV8h0X8twzaLRKGDb5q7kFhm2jvp5/bWzWhg221+JAN+awsGBmTXuNfo8rXWdnf/wWZctE2j1PXtLSM3n5tWmULRPJY/3vsetcq9XskhqEEEIIZ2SnJnBhexHuvpePc1t+otr9o/Hy9XCISgghijsXhG37AYuBT4HgG47PAVoBqXmcEwq0dHrl65qghG2jo6Ovda5t3749IUXg9UXKloW//oJ27SAhQe1qrtPp4LvvlLqEEEIIcVuRsK0QQgghhBBCFFF+Xl48UqkK/SpWZndSIusvXmRfchJ7k5I4l5VZ4Lm+Wh21Q0NoEFqChiVKcHeZsgTq9R6q3Ha+vr4MHDiQJ598kk2bNjFr1ix+/PFHLBZLgecZjUYWL17M4sWLadmyJRVeeJ5TOvuDYWo4mpbK9EMHeL2e7VsJGswWlsSmuLEq9/rpVCpjG5YkxNv2gHFCtmfDcVarleQv38KnUUd8m3Ymc/2PLps7MdvksrlulJWVxZw5c5g6dSpnz54FYDbwgVtWczOtFp55Ru0qABeGcb1NeJVOs2vtwPvvwxgbS+qibwh/K/8OclfDs7awZ+yN7Lsc4LquXVrStEldkpJSePihHg7OkpvBkM2Tg97k7NmL/PTDDAID/O2cobheqiCEEOJ2Erd5GVaz63cucTeTIZ0L25ZTrv3DapcihBDFiwvCtv1RwrZLgGevHEsBlgGzgBlOr1C4V7t25d1vvqFkyZIeWM0BtWsrgdvu3SE+Xu1qwMsLFi+GXr3UrkQIIYQQbiBhWyGEEEIIIYQo4jQaDY1KhNOoRPi1Y/EGA/uTk0k25pBtNmOyWvDR6vDV6agSFESNoGC8HAxYqUGj0dCuXTvatWvH6dOn+eyzz4iJiSExMbHQc7efPs0pjRUNxSNsCzD76BGeqFyVcjZusbfqXAaJHg6fupLBbOWX02kMqBZq1zmelPnnYoxn/iNy9AyXz53t4seSnp7O559/zocffsjFixdz3TcPmAS4r4+um9x3H1SooHYVNrEljPv33+fZtOcyC+z8Mazx9SPwwT6kzptP9r79+NSv54KKHZPtxLetj7cevYsu8MjOzmHA02/yz7a9fLNwKk0b17V7Do3G0eiwEEII4RpWi5mz65eqXYbDTq/7hrLt+qLRFJ/nXEIIoboDB5yeIhh4CJjL9bDtEkCL0vV2Rh7nbACCAANQHRgEPI/jF1RWzcqCohq0vapRI9i4Ebp1gysXI6vCzw9++AHusW83FiGEEEIUHxK2FUIIIYQQQohiKMLXl45RUWqX4RYVKlRgypQpjBs3jsWLFzNr1iz279+f73j/Ht0c7tyoFrPVyqITsbxWr75N47fHZzm81rn+tWwaFz52Afoq9Un+8i2MJw9iSboEViu6iLL4te5JwD1PovW1t5vkddvjs24J22ZmZhIXF0dcXBxnz5699ve4uDiOBFWAu55zeD17mC7Hkbr0I4IHvIEuNMLl8xsLbtRss5SUFD7++GOmT5+ebxA9AeVNuGGuWdJzXnxR7QpcpkQJP+65pwrRHUqx4I9Tdp8f0L0bGSt+J3XRYiKmTFYt1OLpwHtesrNzeOKpN9i0ZReL5k2mQ7umDs2j0RSv/yOEEELcfuL3b8CQeF7tMhyWfvYIKbG7Ca3aSO1ShBCieLBaIT3dJVM9DXQCDgB1UZ7z90UJ1N6sJ9AUqAokAd8DLwG7ga8dLSAjw9EzPatWLdi5E4YPh++/9/z6zZrBvHlQ1/4LRIUQQghRfEjYVgghhBBCCCFEkeTv78+QIUMYPHgwa9euZdasWfz6669YrdcDYBofH/w7dlSvSCcsORnLmDp18NYW3ltkX6LB4XUiJubuoJX242xyDv5D+Fvzcx33KlsNzCawWgm8ZyC6yHJoNFqyD28n7cfPyD60jYg35zlcx+rDpxkU81auYG1ycnK+431b9KDEXQ4vZ5eUeRPxKl8dv+bdsWSkAmDNNlz5MxNLZhpa/7zexrKNj865sGR8fDwzZ87k448/JiUlpdDxrwMPeHlR2mRyal2Pee45aNdO7SpcztGoqkbvRVD/fiTPmIVhy1b82rR2aV22Opml7vfP1Y62GzfvZMGcd+jcqYVjE2l0aLTeri1OCCGEsFPCwa1ql+C0hENbJGwrhBC2MpnA4porbzughGfnAgOBf4Fp+Yz99KbbvYEw4BNgDODQT/Esxy8A97iSJeG775Sw7bBhEB/v/jW9vWHCBHjpJfCS+I0QQghxu5P/7YUQQgghhBBCFGkajYbOnTvTuXNnYmNj+fTTT5kzZw4pKSn4tWuDNsDxbqtqis/O5ve4OHqXr1DgOIvVyr4kx8O23tUb5rqtDQ4DjfaW41eVGD09122f+q3BmEP6b19hungGr1LlHaojyTuIeYuXYs3OtGm8NSfboXUcYTrzH+b4c1wY3PyW+xImPYnGP4jSc/51eH5fB8O2Fy5cYNq0acyePZsMGzvJNGjQgLfeeotSAQHFY9vCihXh/ffVrsItfHSOd1P1a9OajF9/I3XJUnxb3Pp96QkHM4xumXfzll0kJCYDYLaYOXv2Ir/+by0ArVs2JCIiDICnhoxl1Zq/GTN6AGFhIfy74/oWrEGB/tSqWdmm9by8AmTLayGEEKpLPWX7VuJ/Hk1m2voLed73YP0SPNMykr9PpbMhNpXjCdmcSc7GbIWVQ27d0eJSupHZWy4Sm5hNUpYJnUZD6WA9PWqGcm/tUHRa2/+PTD110OaxQghxx3PhcxAN8BQwCzAANQB7Lld9HCVs+zcOhm2L4/Opvn2hY0d4/nlYutRlwedbtGsHs2dLN1shhBDiDiJhWyGEEEIIIYQQxUaVKlWYNm0aEyZMYOHChbxnysFNL5d7xMLY44WGbWPTcsgwqbuduzZYCb+hK7wLb340Wh36SrXIObLTpvHmi6ccXsteYaM+wmrMHe7N3rOJ9F9jCBk0Hq9y1Z2av3KQfV01z5w5wwcffEBMTAwGg21B6+bNmzN27Fh69ux5PVg4aBDMmWNvuZ41Zw4EOd41uCjz1zn+sptGoyH48UdJmPgumX+tdmFVtjuYnuOWead+OJfNW3dfu71pyy42bdkFwC/LZtH2Sth25V9bAPho5kI+mrkw1xxtWjXk1x8/tmk9nT7QBVULIYQQjrNazKSeOWT3eS92iKJ8iE+uY+EByu8XW06mcfhSFlUjfNHrNPwXn/fvjAaTBX9vLY82CicyUI/JYmXb6XQ+23KR2AQDL7QvbXM9qaf22/0YhBDijuXlpbyGYja7ZLqBwDjgc+BdO8+9+oqSw5eD+vk5eqa6SpaExYvhvffgyy8hJgYuXXJ+Xn9/eOwxGDoUGknHdyGEEOJOI2FbIYQQQgghhBDFTmBgII8OHsy7v/2sdilO+TchniyzCb8CQnn/pbon8FYQq9UKFjPWbAM5R3eRvnw+fq174hVRxql5vcpWszlsazp/EktWBlq/AKfWtEVeXX7Nl+MA0Feui3fV+k7NH13C16ZxsbGxTJkyhfnz52M02tZVtH379owdO5YuXbrc2r1z2jRYtw6OH7ezYg8ZPRq6dFG7CrcJ1Osp7efHeQe33PSJjsYnOpq0H5ahCw93cXWFSzFZOWswUc7X/pcPCwrC2hqSTTi/0e518+IlYVshhBAqy7gQiyXH/t8HKoX5UKNk3gGn59tHob3yu98nmy/kG7atEOrDyx1z/w7frHwgyQYzfx1NYXibUnjb2I0/O/kS2SmX8QkpacejEEKIO1hICCQmumSqssDLwGHgSTvPvXrpYktHFw8OdvTMoqFCBXjnHRg7Fn78Uel0u307nDtn+xyhodC4MfTqBU8+qdwWQgghxB1JwrZCCCGEEEIIIYqlvUlJTp2fuXYdyZ/OBr2eyFnT8SqZ+03j+HETsKSlEjl9GpbMTDJ+/4PsPfswnYvDajCgi4zEr107Anvejcbbvs6lV5mtVg4mp9CkgCBdhtHzvXsNW1eQ9PGL1277dehD6JCJTs+r8bGtG0pkZCRly5YlI+0i6X5VnF5XTZG+OqL8Cn755fDhw0yePJlvvvkGs41db7p3786bb75J+/bt8x8UEgJ//QVt29r3JpIn9OunhIFvc9GhYQ6HbQGCH3+Uy6++jiUlBa/y5a4dN12+jPGYEqI2X7gIQNbWvwHQlSyJd7Wq18ZmHziIJTUVAKvFgvny5WtjvevUQReS/xun+9KMDoVtixIv/e3ZOVkIIUTxkXbmsMvn1Dq5pXeIrw6tRoPOznlSTx+iZH0J2wohhE2io5ULYF1kSiH3fwP8CPQEKgLJwPfAUpTOuA0cXTg62tEzixYfH+jfX/kAuHABduxQPk6cAINB+fD2Vrr5lioFTZooH1WqgJP/9wohhBDi9lC8Xy0XQgghhBBCCHHH2pfsmu4gGI2kLfmWsFEj8h1ijo8nY/kK/Nq3J/C+nmh8fck5dIi0778ne+9ewse9dWtXURvtS04sMGybbbHme5+7+ES3JeKd77EaMsj5bzfpv35FUnoyYWM+QaN1eONBvPwCqFy5MmXLls31Ua5cuWt/L126ND4+yna5b++8xFdHnQtVXxU2dAoMLeytqev8O/TBv0Mfp9etX0BX27179/Luu+/y/fffK92EbXDffffx1ltv0bx5c9sKqFwZVq2Czp2VN5KKgt69YeFCZUvN21z9sDBWnnc86KyvUhm/Nq3J2rQ51/Gc/QeUiwVukDRtOgB+HTvgPWLYteNp335PzsGD1889cJCcA8rt8PHj0IXUzXf9Xy9lcnc+HfWKAy99EDqv4lu/EEKI24MxI8Wh8yxWMN/0XECndew5h9VqxWKFTKOFHWcz+OtoCn2iS9g9nykz1aH1hRDijtSkiUvDtoWpghKwfQNIAPRAXeAz4FlnJm7SxNnSiqaoKOjZU/kQQgghhLCRhG2FEEIIIYQQQhRLzna2vcqnYUOyNm0isNe96CtVynOMLjKSyM8+Qet7PTjpU78eGh9fUr9eRM7hI/jUruXQ+oU9DjX6ZmgDQ/AOrA+AT92WeJWqQNKsMRh2rMavWTeH5500aSIj63xq8/hG4fkHVYuLRnmEbbdt28a7777Lr7/+atMcGo2Ghx56iDfeeIOGDRvaX0Tt2rBpE3TtCidP2n++Kz3+OMydC3q9unV4SHRoCZvG+XfqiH+njnneF/b8KMKeH2Xz+JtFTHzbpnF52ZyczflsM6V9imcw2se/tNolCCGEEJhzDA6dN/qXU7ccWzGopkOB2+/2JDL338uA8vzikYbhDGxmf4das9GxxyKEEHekpk0dPnXglY/C7L/h7y2BVQ6vWAAnHocQQgghxO1GwrZCCCGEEEIIIYqlgymOdYi6WeD992GMjSV10TeEv/VGnmNuDNneSF9d2ardnJDg8PoHUpILvN9X53gnWVfRV1W2DDSdP+nUPH52PpZuZQIJ9NKSbrI4ta6a7q8YfO3vmzZtYtKkSfz55582navT6Xj00Ud5/fXXqV27tnOFVK0Kf/8Nzz4Lv/zi3FyO8PWFSZNgzBhwojtycdOoRAl0Gg1mGzsXFzVWYGeGjp4+aldiP43GC2/fCLXLEEIIIbBaHftd9uWOpakQ6p3rmKOdbbvVCKFRWX/Ssi3sPpfBD3sTycgxM7xNlF3zWM1mh9YXQog70u3QEdbfH2o5dnG5EEIIIcTt6M55d0MIIYQQQgghxG0lxZjjknk0vn4EPtiH7N17yN63v/ATbpC97wAA+nLlHF4/NcdY4P3B3uo/dc858A8AXqUqODWPvY8lQK+lb2nvwgcWUR2j/KkUqGfVqlV07NiRdu3a2RS01ev1DB48mCNHjrBw4ULng7ZXlSoFP/0EixZBWJhr5rRFq1aweze89NIdFbQFKOHjQ4/SZdQuwynlwyqhTo9t5/j4R6HR3Fnfb0IIIYomnZdjv89WCPWmRkm/XB+OKuHvRY2SfjQpF8Cg5pE80SSCXw8mcyzevk61Ou9ieAVOcWA0QmoqxMcrf+a45rmuEEJlVatC2bJqV+Gctm1BVzx3OhFCCCGEcAfpbCuEEEIIIYQQolgyuLCrUkD3bmSs+J3URYuJmDIZjabwYJnx5CkyfvkV3+bN0Feq6PDaBkvBj6NOqOfe0M5YtZScwzvwiW6DLjwKa3YWOYd3kLFyEfoajfBt2sWp+Qt9LOnpsHkzbN8OO3bAjh08afJi3rQVTq2rljrJx2jVqi///POPTeN9fHwYMmQIL7/8MhUqOBdszpdGA489Bl26wNCh8PPP7lkHwM9P6Wb7/PN39JtzA6pWY8W5OLXLcEgF/wDaRZUhOy0HQ+Y5tcuxmUajw9e/tNplCCGEEABovR0PybpLzUhl546zKTlUi8h7F4+8FMXHUuzExeV6vsOOHXDx4q3jIiKgcWOlM2bTpsqHu54jiNysVuXrtHevEn7OylKO+fpCYCDUrQtVqijPrYQoiFYLQ4bA+PFqV+K4Z59VuwIhhBBCiCJFwrZCCCGEEEIIIYoliwu3ZdfovQjq34/kGbMwbNmKX5vWBY43XbpE4pSpaCPCCR36nFNrF7a9fGk/LyJ8dMRnu3/LVn2FGhh2rSN16UdY0pLQ6LzQRVUksPezBPQciEbn+MsIPloNNUPyCdvu3w+zZ8PChUrg9gbVgdYH/mZL3ZYOr60Gbcpl3nq0K9iwbXBAQABDhw5lzJgxlC7toYBgVJTS5XbPHuVzv2gRZGS4Zu6qVZUg78CBEB7umjmLsbYlI6kaGMTx9DS1S7HbE1WqotNo8QuqSE52Ihazfd3v1OIfVAWtTjrvCSGEKBoCoiqrXcIt9pzLBKBssH1ddwNKFb3HUiwYDPDDD/DZZ7B1q23nxMfDn38qH1c1bgzDhkH//srW7sI1LBZYt0752LFDCUNfulTwOaGh18PQbdrA3XeDd/HdlUW40ZAhWCdNQuPCC8Y9pkwZ6NVL7SqEEEIIIYoUCdsKIYQQQgghhCiWfHQ6slz4ZoVfm9Zk/PobqUuW4tuieb7jTJcvkzB+Imh1RLw9Fm1QoFPr+hbS8VOj0RBdwpc1510ThAwbOgWGTsnzPu8ajQl/+XOXrHOz2qE+6LU3dP6xWmHZMvj4Y9iwocBzR/78RbEL2yYu+6zQoG1wcDCjRo1i9OjRREREeKiymzRoAJ9/DlOnwtdfw7x5SgDX3n9bQUHQubMSsu3WTengIwDl3/CAKlV5e+9utUuxi7dWyyOVlECNRqMjIKQ6aYn7VK6qcHqfMLz9ItUuQwghhLgmqHxtl895Mc3I0ctZAJxPNQKwMTYVgFJBemqUVDrQLtxxmaRMM/VL+xERoCc928z2sxn8fjiZdpWDqF7Sjq62el8CSldx8SO5zZ0+rQRs58xRwrPO2rkTBg+Gl15SLmwbPhyqVXN+3jtVYiLMn69cfHjsmH3nJifDmjXKxwcfKBczDhkCzzwD5cq5o1pRDGVkZPD+F1/QwGqlj9rFOOLZZ8FL4iRCCCGEEDeS346EEEIIIYQQQhRL/jovkslx2XwajYbgxx8lYeK7ZP61Os8xpsuXSXh7AlghfOI4dC7o2ulXSNgWoH6Y68K2aqlf4oYuk6dPK29E3tilqQDt92+l/5rvWdK5r5uqc63sQ/+SuWppvveXKFGCF154gREjRhAaGuq5wgoSEgIjRigfmZnKlqlXt7c9fFg5ZjCATqdsnxoWBg0bKtvZNmmivMkvAdt89a9cmZhjRzmbmal2KTYbUq0GJXyu/7vVe4fg41+G7MxzKlZVMI1GR0BwNTSypa8QQogiRO8fhH9kRTIvnXLZnHvOZzBt/YVcx95Zrfwf3a16MC91VMK2NSJ8+flAEltPpZFqMOPtpaVCqDfPtYzk3jphdq0ZVL4mWid2urijmM0waxa88YbyO7SrJSfDjBnw6acwdiy89hro9a5f53Z15gyMHw/ffOO6r8+FCzBpEkyeDL17K/PXr++auUWxY7VaWbp0Ka+88gpnz56lAxS/sK2Xl/K6jRBCCCGEyEWeFQshhBBCCCGEKJaqBQVxLsu1wTWf6Gh8oqNJ+2HZLUFa0+V4JWhrsRA+4W28SpZ0yZrVg4ILHdO6lB8zD7pkOdW0jvRXutl+9RW8+CKkpdl1/rhFU1nXoC3nw0u7qULXsBgySf78DeWx3qRUqVK89NJLPPfccwQGOtcR2a38/aFlS+VDuESAl54PmzTjkY3r1S7FJtWDghlTp+4tx/2DKmLKScVsSlehqsIFhFRHq/MpfKAQQgjhYcEV69octu1eI5TuNUKdHgPQsmIQLSsG2bRuYYIr3Pq7gcjD0aPw9NOwebP71zIaYdw4+PlnZYeK6Gj3r1mcWa1Kl+ExY+x+Pmozsxl+/BF++02C0K52/jzs2gUXL0JWlvL97+urPH+tUkW5GDQgQO0q2b59O6NHj2bLli3Xjq0HfgV6qVaVA155BUoX7ddfhBBCCCHUIGFbIYQQQgghhBDFUnRYGBsuXXT5vMGPP8rlV1/HkpKCV3ll+0dzSgoJ4ydiTkomdOizWFJSyElJuXaOLjzc4S639cMK7yjVOtKfykF6TqQZHVpDbRE+Ou4KMMHdd8PKlQ7NEZyVzodfjuWx179ycXWulbb0I8yXzuQ6FhUVxRtvvMHgwYPx8/NTqTKhtnaRpXiiclW+PnFc7VIKpEXDR02b4ZtH122NRkdQibqkJuzFYs5Sobr8+QdXxds3Qu0yhBBCiDyFVGnAhX9XqF2GU0IqS5CzUJ9+Ci+95J5utgXZuVPZcWLCBCXcKV3+b2Xn7ipOuxqE/uknmD9fgtCO2L4dli+/vuPK+fMFj9dqoVYtZeeV5s3hoYcgKsoztQLnz5/njTfeYP78+Xne/yzQDrCvp7hK6tZVvn+FEEIIIcQtZH8/IYQQQgghhBDFUv1Q97xFoa9SGb82rXMdM505i/niRTAaSZ71CfFvjM31kbFqjcPrRdvwOLQaDQOqhTq8htoejfLCu3Mnh4O2V3Xcu4lBvy9wUVWuZ9i1jow/F99yPDMzk6ioKAnaCt6qH005f3+1yyjQczVq0LhE/hcPaLV6gkvUQ6srOt/P/kFV8PWXrktCCCGKrqhm96DRFd/uljrfACIbdVW7jKLLalVCriNGeD5oe5XRCG+8AUOHKt1VxXXLl0O9ep4L2t5o1y4lCP35555fuzjKylK6NDdvDs2awfjx8L//FR60BbBY4OBB+PprGDkSypeHRx6BDRvy3HnGVbKzs5k6dSo1atTIN2gLcAEY7bYqXEinUwLiPrJjiBBCCCFEXjRWqxt/uxRCCCGEEEIIIdzkdEY6rf4o3t2hAP7tdhdlgoMLHZecY6bJL8cxmIvX03gt8PdHT1P23y2FjrWFRaNh5PAP+LnNvS6Zz1WyD28n8b3BWHPyf3N9+PDhTJs2DR8Xv2mVY7ZyJCWbvUkG9iYaOJCUTWK2GYPZgskKPjoNvjoNlQK9iS7hS3SYD9ElfIny80IjXa88bntCPP02rsdQBEMQzcMjWNKuQ55dbW9msRhJSzyA2ZTugcryFxBSHR+/UqrWIIQQQthi71cvcWHbcofP11isBCZlE3zZQHC8Ab9UIzqTBa3FilWjweylIcdPR1q4L6kRyofJp/D/021RvtNj1O7/lkvmuu1YrTBqFHzyidqVXPfYY7BggRKau9MtWQIDBoDJpHYlMHmydB7OT1oavPMOxMRAUpLr569bV/ncP/aYyz7/VquVn3/+mZdeeonY2NhCx7dt25aZM2bQeMIE+O03l9TgFm+8Ae++q3YVQgghhBBFloRthRBCCCGEEEIUS1arlUbLf+Nytkqdg1zAdOEC5rcnMmDAAIYMGULt2rULHP/StgssiU3xUHWu0f2/f5k37gmXzmnUeTF8xIcsb3mXS+d1VM7RXSRMfYayJUK4fPky2dnZ+Y5t0qQJ3377LVWrVnVqTbPFyurzGXx9LJlNFzPJsdj/8k6UnxcPVgrm8aohVAj0dqoeYZ91Fy4wcMsmjFaL2qVckxN7gueMZia98YbN51itZtat+p76dcug1Xp2Ay2tzo/AkOp4eRd+sYIQQghRFCT9t4N/P3jcrnO8csyU/i+V0sdSCErIRmfnhXeZQXriywdwpk4YGWGOX/DVevxvBJap5vD5t7U331RClEXNc8/BZ5/d2cHOpUvh0Ufd2tXUbpMmwVsSXM9l9WoYNAhOnXL/Wj17whdfQNmyTk2zb98+nn/+edasKXyXowoVKvDBBx/Qt29f5WLX+Hho3x4OHXKqBre4+274+WfwltcHhBBCCCHyI2FbIYQQQgghhBDF1uR9e/n06GG1y3BY6jdLSf/xp2u327Rpw5AhQ+jbty/+eWw1fy7TSJffT5JqLDoBvYL4mI2sfKU31c8V3uXFXmaNllcHT2BJ574un9sehr2bqbR2Lm+//gr33nsvR44coW/fvhw4cCDfc4KDg5k7dy4PPvig3evFG0wsiU3h62PJxGW6pjuTBuhcJoAnq4XSMSoAnfYOfkPeg/46f47n/t6KwaJ+h9uc48dJfOc9LGlpzJ07l6eeesqm886ePUvNmjWpU7syn854g2rVKri5UoVvQFn8Aiui0Xg24CuEEEI4w2q1snXi/aTHHS10bGCCgfIHkyl9LAUvk2vexkss7c+ZOqFcqhSE1Y7f98JqNKfZSwtcUsNtZ/58sPH3JlVMmwZjxqhdhTpWrIDevYtGR9ubffwxjBihdhXqS0uDV16Bzz/37LqhoTBjhtLx2M4wenx8POPGjeOLL77AYin4dRk/Pz9ef/11XnrpJfz8/HLfGRcH7drBiRP21e5O7drBH39AHq9FCSGEEEKI6yRsK4QQQgghhBCi2DqdkU7rP1ZQHJ/YWo0mLg4dhiX51k61ISEhPPbYYwwZMoSGDRvmuu/b2BTGbLvgoSqd89bi9xn6v7lum98KfNO5LxMfe5V0/0C3rZPn2iYjJXau4P0eDbm7ezelQ80VmZmZjBgxgnnz5hU4x8iRI/nggw/w8Sm8y5jZYiXmaBIf7IvHYGdHM3vUD/PhoxZR1An1ddsa4rqtly/x1JbNpJmMqtWQvf8AiVM/wJqVBYBOp+O3337j7rvvLvTc/v37s3TpUgB8fb159cWnGTzoQfz93PP9o/MKICC4Gl7eQW6ZXwghhHC3izv+ZM8Xo/O93yfdSJ1NFyh5JsNtNRgCvDjUphSXK9r2/2mTMfMIr9XSbfUUW2fPKlvTp6aqXUn+fHxg926oVUvtSjyrqH9ttFrYuhWaN1e7EvUcPgz33KNu2LRvX1i4EHwLf+5iNBr57LPPGD9+PMnJyYWOf/TRR5kyZQrly5fPf9Dp09CtGxwt/AIMt+vcGX75BQI9+7qKEEIIIURxJGFbIYQQQgghhBDF2oDNG1l94bzaZdgtc9NmkmfMKnRc06ZNGTJkCP379ycoKAir1cqADXGsOe++N+BdoXHsPn5+qx86q/u78MaFl+alZ95hQ3Qbt68F4Jtwhrdr+jGga8HrLViwgGHDhpGZmZnvmKZNm/Ltt99SpUqVfMccS83hxW3n2R5vcLhme+i1MLpOOCPqhKOXLrduF5eZwUs7trPh0kWPrusFJC1eQtovv8JNXZkCAgJYt24dTZs2zff8devW0alTp1uOBwcH8s+WlURF+mAxZ7mgUg3evhH4+pdGpw/KFWwXQgghiqM9X7zAxR1/5D5otVL2SAo1/r6E3kO7WJyrFszh1qUw+ejyHVOuQz/qPDbeI/UUK1arEhT844/Cx6qtVSvYuBF0+X+dbyvF5WtTuzbs3GlT0PO2s3Mn9OgB8fFqVwJdusDPPxcYMv3jjz944YUXOHy48F2VmjZtysyZM2ndurVt61+6BL16wT//2FiwG9gROhZCCCGEEBK2FUIIIYQQQghRzK0+f54BWzaqXYbd4seOJ+fQIZvHBwQE0L9/f4YMGUK5ug3p8scpUj30Rry9fMxG/nylF9XOea5LjRVY3PlhpjzyAklBYW5ZQ2PK4eEIM1O7N7A5hHrw4EH69u3LwYMH8x0TEhLC3Llz6dOnT67jVquVL48k8b6bu9nmp16YD7NalqZmSOGdd4VzrFYr35yMZeLePaR7YKvbhmElmN60GeuWfsuzzz6b55jIyEi2bt2aZxDcZDLRuHFj9u3bd8t9AwcOZN68eVitVkw5KWRnXcJkTLMreKvR6NDpA9F7h+HjXwqtVm/7gxNCCCGKuOzUBLaMvw9jehKgdLOtu/ECEWc9fzGdwd+Lg22jiK94a9DMt0RpWo//DS/fAI/XVeTNnQuDBqldhe0++ABeekntKjyjOH1tXn0VpkxRuwrP2rsXOnQAG7rDekz79ko4288v1+EjR47w4osvsnz58kKniIqKYsqUKTzxxBNotVr71jeZlH+j48dDTo595zojLAw+/hgefRTkgkYhhBBCCJtJ2FYIIYQQQgghRLFmsVrpvW4NOxMT1C7FZm1KRjJSoyMmJobvv/8eg8G+jqXR0dF0GfYqy0KbYCpqz+otVj77eAy9//5dleWz9D781upuFnbrz65qDVwyp2/qZQZUC+H5tnUI8ba/I1RGRgbDhw9nwYIFBY4bNWoU77//Pj4+PpgtVl7bfpFvYlMcLdslgvRaFrYvS/OS/qrWcaeIy8xg4t49/H4uDrMbXrKL8PHhueo1GVK9Bl5X3gR+++23mThxYp7jq1evzubNmylZsmSu4x9//DGjRo26ZXxwcDBHjx6lVKlSt9xntZgwmTIwG9Mxm7KwYgGrBdCg0WjRaPXovALw0gei1flKB1shhBC3tQvbf2fvl2MITDTQZMUZfLLMqtZzpEVJTkWH5zrW5Pk5hNexsTvjnSQlBSpWVP4sLnx8IDYWypRRuxL3OnsW6taF1FS1K7GNVgtbtkCLFmpX4hnHj0ObNnDRszt62KRnT6XDrZcXycnJTJo0iVmzZmEq5EJIb29vXnzxRV5//XWCgoKcq2H/fnjqKdi+3bl5bNGrF3z+OZQu7f61hBBCCCFuMxK2FUIIIYQQQghR7B1LTaX76j/JthTNTq838td5sbpbdyoEKN2jkpKSWLx4MTExMezdu9euuYLa3kvQsPdBY2fnFDd6IuZbpqx5W+0yANhTpR6LOz/M1trNiC1T2a5zzfHnKJ2dyItta/NY89ouCf7Nnz+fYcOGkZWVf4fPZs2asXjpUqZf8OWX02lOr+kKvjoN89qVpX2UdDXzlHOZmXxzMpbFJ2K5ZGcYPy8tIiJ4sko17i5bFm9t7sC41Wpl8ODBzJ07N+9zW7RgzZo1+PsrgetLly5Rs2ZNkvPoRjV9+nSef/75XHOfzEjnWFoamSYT2RYLOo0GH62WEG9v6oaEUsJHOicLIYS4Mx0f/zQVpixAn100nsMcbxTO8abKBTaVuj9NjYdeVrmiIurjjyGPi46KvAkTYNw4tatwr2eegZgYtauwT4cOsG6d2lW4n9EIrVrBjh1qV5Ivy4QJfBUVxZtvvkl8fHyh4/v06cMHH3yQ504gDjOZYPZsmDlTCSe7WrNmSpfrvn2lm60QQgghhIMkbCuEEEIIIYQQ4rYw+8hh3tlvX1hVDZMbNubJqtVuOW61Wvn333+JiYlhyZIlZGTYto2sb7NuhI2ahsbL29Wl2kUL+MxJ5Niqotn9KtUvkP2V6rC3Sl0OVahJul8ABm9frGjwzTGQkp3Fn2ePYTl9iD4tonn7xdFUq3br18lZBw4coG/fvhw6dCjvARoNkSM+wKv1vS5f2xl+Og1LOpWnWYRf4YOFy+RYzKw8d461F86zNzmJo6mpNnW8DdbrqRcaRqOwEjxQoQK1Q0ILHG80Gunduze//553R+r77ruPH3/8ES8vLwYPHsycOXNuGVOnTh3+3rGDjQnx7EhIYG9yEvuTk0g1Ggtcu5y/P9FhJYgODaNtZCQNw0pIV1shhBC3v/37sbZvjyYpSe1KcjnarCTG4UOoM+Ad+f84L1Yr1KkDhw+rXYn9ypSBkydBr1e7EvdIToayZSEzU+1K7Ld/v9KR93b27rvw1ltqV1Ego0ZDE6uVfYWMq1+/PjNnzqRTp07uK8Zigb/+gs8+g//9T7ntKF9f6N8fhg5VwrZCCCGEEMIpErYVQgghhBBCCHFbMFst3L9uLTsTE9QuJV9tSkaytF0HtIW8cZ2WlsbSpUuJiYnh33//LXRen/qtCRv1EdrAUBdVap8ALw0ftShN6/GvU2Lup6rU4AoTHn2UgZMnU7FiRbeuk5GRwbBhw1i4cOEt9wU9NJKgB4e7dX1Hhei1/N6jIhUD1Q1238myzCYOJqewLzmJpJxsDGYzRosFH50OX52OSgGBRIeFUTEgsNCfMzdLT0+nY8eO7Min29QzzzzDoEGDaNmyJTe/nKiLLMmgOXPYYrWQmJPt8OMDqBcaypNVqvFA+Qr4eXk5NZcQQghRJJ07B02awIULaleSJ3PMl+gGD1G7jKJp7Vro3FntKhy3bBn06aN2Fe4xaxaMHq12FY4ZPhw++UTtKtxn3z7lZ14hF+EVBTuBFoApj/vCw8N55513GDx4MF6efJ5y6hQsX650Bd6xQwlnm835j/f1hYYNlc9506Zw330QHu6xcoUQQgghbncSthVCCCGEEEIIcds4kZ5Gr7VrnA57uUOUrx+/dupMWf8Au87bs2cPMTExLFq0iJSUlHzHaUMiCBk0Hr9mXZ0t1S5tS/nzYbMoyustSrekxES3rWUFTkdGsqdqFQ5XrEC6nx8Gb2+sGg2+OTn4GwzUOn2G+rGxVDl/Aa29L3mMGQPTprml9rzMmzeP4cOHk5WVBYC+an0iJi5Fo9V5rAZ7tSrpx3edy9sd5BTFw8WLF2ndujWxsbF53l+uXDnOnj177ba+ejWCHuyDb5PGLt+GNFivp1/FyoyqVZsSPj4unVsIIYRQjdWqBJ+WL1e7knzl6PV4Hz0KlSqpXUrR07cv/PCD2lU4rnNnWL1a7Spcz2qF2rXhyBG1K3FMUJASwg8MVLsS1zOZoEUL2LlT7UpsNhZ454bbXl5ejBgxgnHjxhEWFqZWWddlZcHevcoFGwYD5OSAj48Ssq1USem+LRctCiGEEEK4jYRthRBCCCGEEELcVvYlJdF3wzrSTEWna0qYtzc/duhEjeAQh+fIzMzkhx9+ICYmhk2bNuU7zq/1vYQMfAttUKjDa9kiwEvD2IaRPF41RNlidssWaNPG5eucK1GCbzt35O86ddhfuTLJQba9ARmYmUm9Eydpdvgwj6xZR6WLFws/qV49peuOB+3fv5++ffty+HgsJSf/iL5cNY+u74h3m0QysHoReJNRuMV///1H69atiY+Pz3+Qt57gfg8TcO+9aHRat9ZT0seXKY2acFfZsm5dRwghhPCIBQtg4EC1qyhUfIMGROzcCVr3/j9frJjNEBwMmZlqV+I4jQZSU2+/UOeGDdChg9pVOCcmBgYPVrsK11u8GB5/XO0q7JIFlAWSgLvuuovp06dTq1YtlasSQgghhBBFhYRthRBCCCGEEELcdnYkJPDE5g2kFIFtCsN9fPimbXvqhbounHjo0CG++uorFixYQEJCwi33a0MiCOz9DP4dHkDrH+SydQH8dBoeqBjM6LrhlAvQX7/j449h1KgCz50PPHXl72uBjjfdbwWqA8eBhgH+NB36HCuqVSX1r1Vk79uP+fwFrCYTXqWj8O/WFf/OnXMF/SxZWaT9sAzTiVMYT57AkppGYN+HCO7Xl067djHgjz/psmsXOks+L4VotZCWBv7+dnxGnJeenk73Gd9xqprrw8ru4KfTsPruSlQM9Fa7FOEm//zzD506dbrWdflG+urVCR0+FH05z4ZfHyhfgYkNGkmXWyGEEMVXXBzUrQsF7FZRlMRPmkTEW2+pXUbRceCAcnGeA+Zj+/OgDsC6K8dTganA98BZIAxoDYwH6jpUCbBxI7Rt6+jZRdOkSTBunNpVOOfxx+Hrr9WuwvXatFEuzC1m3itZkgbz53PPPfeoXYoQQgghhChi5JJUIYQQQgghhBC3nSbh4fzQoRORvr6q1lHGz58fO3RyadAWoHbt2kybNo24uDiWLl1Kly5dct1vSYkndeFkLg7rQHLMWIwnDzm9ZtUgbyY2jmRH76p80Dwqd9AWYMcOm+cKAubkcXw9yhvMOh8fDlasxIqWLTCcPEXW+g341K9H6MjhhL00Bu86dUiJ+Yrkz7/Idb4lLY3Mv1ZjNRnxbdYs131rGzXiqddfpfUns1jWri15xm0tFtizx+bH4SqnTV6cqV48grYAWWYrr2+3oVOwUJ3VasGUk4Yh8zwZKf+RmrCXlPhdJF/eQUr8TlLid5OauJ/M1BNkZ13GbMrCarXSokULvvvuO7Q3dbMLfOB+It6Z6PGgLcBPZ07T+a+V7Ey89QIDIYQQolgYMaLYBG0B/N9+m6z//lO7jKLDjuc7+SnsedDNl0neB8wAhgDLgSnAbqAVcMrRIlzwOIocBx/TfEBz5WNdHvdbgWpX7u945di6G87J6+M5hyrh9vy67N5dLIO2AK8FB3PPXXepXYYQQgghhCiCvNQuQAghhBBCCCGEcIc6IaH81aU7r+/eyYq4sx5fv0+Fikxs0JAwb/d1YfTx8aFfv37069eP48ePM2fOHObNm8eFCxcAsGZnkrnmezLXfI++an28azVDX6Uu3pXr4lW6UoFzVwjQU7+ED9FhvjSL8KN5ST80Gk3+J2zfbnPd/YDFwKdA8JVjyQEBPFeuLHorWLOub83qXasmkZ/MQuN1/SUM3wbRWE0mMv9YSXC/vugiIgDQlSxJ1IK5aDQazKmpZK5ec8vaZyMjGTV6JP9r3ZIpX3xFqeTkWx9Hq1Y2PxZXmHMkmfya7RZV6y9kcig5m9qh0mW0qLFaTGQbLpOddRGzMQPyjpbnYspJvvZ3jUaHl3coPbq14fPPP+eZZ54BIHjA4wT2us9NVdvmcraBfhvWM7d1G9pFllK1FiGEEMIuhw7Bzz+rXYVd/C0Wlj/0ED1VuBitSHJBGDKv50GgBHBboXSyveoYsAF4C3j5huPVULrb/gi84EgRt2Oo08nHdDUE3fGm43mFoBsDW/OYYzawEHjA0SIOH4b0dAgMdHSGomf2bLUrcJjm+HFYtQq6d1e7FCGEEEIIUcRI2FYIIYQQQgghxG0rwteXmJat+e3sGd7YtZPEnGy3rxnp68vURk3oXsaznR+rVq3K5MmTmTBhAsuXLycmJobff/8dq1UJ2hmP78N4fN+18Rr/IPTlq6PxDUCj9wGtFmuOgYa1azL4vq480b03PrZu124wKAECG/VHeZN5CfAs8FeTxrz0xOMcfeU1gp8eSMbyFdfGavN5s9G7WlUyAXNC4rWwbYFh4Jv82awZ22rVZtLceTywcRPXzty1y+Y5XCE5x8zPp1MLH1gELTyWzHtNJfBYVJiMGWRnnifbcBmsZofnsVrNGLMTMGYn0Pf+Rpw68RwLky2Yb+qgrZZMs4knN2/k6zbtaRMZqXY5QgghhG2Kaeis+d69zJ09m6eHDlW7FPXt3On0FDc/DwJIAZYBs1C62F51dR+RkJvmCL3yp6N7uGRs2MD29evRarVotVo0Gs21v99829H7HBlrz3O5XC5dgrPOXVxrTwg6GGh50/lW4DGgItDN0SKsVqUTbNu2js5QtGRmwqJFalfhnC+/lLCtEEIIIYS4hYRthRBCCCGEEELc9u4rV55WESWZuG8Pv5w5jcnq+jai3lotD1aoyJv1o93azbYwer2e+++/n/vvv5/Tp08zd+5c5s6dy5kzZ3KNs2amkXPk1jeM/9m9gX+WxPBqiRIMGDCAIUOGUKdOnYIXTUkBi8XmGoOBh4C5QPIj/Zj1UB8yVv4FWg1+bVrnCtvmJ3v/AdDp8CpT2uZ1b5YcFMjI0SP5u05t3ov5Cp3FComJDs/niO9OpGAwF7O2tlcsO5nCGw0iCNLr1C7ljmYx55CRehxjdoIb5jYwZtRjDDVb+PR0Gl+fy8D2f+nuk22x8NTWTXzbrgONSoSrXY4QQghRsPR0WLBA7SocUhLYMGoU0c2a0bRpU7XLUdfFi05PcePzoKth2yWAFiXwOeOGsRWB3sB0oAnQDDgLjAIqAI84WEPmqVN07NjRwbPdy5EQbwejke+cXNeeEHRe1gKxwHiUr6XD9u69fcK2O3cqgdvibNMmJQTtaBBcCCGEEELcliRsK4QQQgghhBDijhDh68usZi14s14035yMZdGJWC5kZTk9bzl/f56oUpVHKlYmwtfR/kLuUaFCBcaPH8/YsWNZuXIlMTEx/Pbbb5jNhXe9TExMZMaMGcyYMYPWrVszZMgQHn74Yfz9/W8d7MDncSDQBTjRohl6IHPtWnxbtUTr51fouYbde8jasIGAe+5BGxRU6PjCLO7WlZSAAD6e9THeBoPT89nKYrWy8Fiyx9ZztQyTlWUnUxlYPUztUu5IVquVHEM8manHsVpNbl3LT6flpcohdA33Y+yxJE5mOd4511UyTCaG/L2FNd16EKz3VrscIYQQIn/ffAOpxXMnA4AhJhMPPfQQO3bsIDz89rjIxWQykZKSQlJSEsnJydc+brx9830/nDhBGRes/TTQCTgA1EUJ3vYF8npW8z0wHOh8w7FoYD3g6G/ghT/bUo/lygWctjxfvcoVvwXbE4LOy5wrY59yso6YadP49fff8ff3d/rD19fX8W7BrrBjh0Onzef653Et0PGm+61AdeA40AFYd8N98cAk4BfgPEoX6MYoQeoSjhRz8SKcOwdlPbtrkRBCCCGEKNokbCuEEEIIIYQQ4o5Sys+PF2rXZWTN2vx5/hy/n4tjb1Iix9PSsKW/qBYN1YODqB8aRs+y5elSOgqdxqn+NW6n0+m45557uOeeezh//jzz58/nq6++IjY21qbzt2zZwpYtWxg9ejSPP/44Q4YMoWHDhtcH2PFmKChvkK156kl0v/9B5pq1+HfsiPHYcYIHPFHouTmxsSR9NAN99eoEP9bfrnUL8r/WrdBarXyy7wCe6tN6KDmbE2lGD63mHv87kyZhWxVYLEYyUo65pZttQRoGe/N9g0g+OZ3KwnMZNv3MdKfzWVlM3LuHD5s0U7kSIYQQogDffKN2BU5pA1hPneKxxx5j+fLl6HTq72pgsVhIS0srMCxb0O309HS713RVbLEDUBUl2DkQ+BeYls/YocBPKN1tGwMXgA9QwrdrUbrf2kvvwDlFmavCw/aEoG+UDPwIdEPpOOyMc7Gx/M/G5+iF0Wg0+Pn5ORzWDQgIsGmcl1c+UQMHw7ZXBaGEmDvedHw9StD25q/LOaAdSvBhLEogNx7l30mOM4Xs2CFhWyGEEEIIkYuEbYUQQgghhBBC3JG8tFruKVuOe8qWAyDdaORASjJ7k5I4n5VJttmC0WLBW6fFW6ulrL8/0aElqBsain9+bygVA6VLl+b111/n1VdfZe3atcTExPDTTz+Rk1P4W1Cpqal89tlnfPbZZzRt2pQhQ4bQv39/guzs6Lukcye+7XkP/gYDGSv+wJpjRFemND51ahd4njH2BAkT38WrdBThb7yORu/at4p/bdOa0BLhvOfSWfO3N9HxLrrn+teyaVz42AX41GmR7/igR8YQ1PsZh+vYn5SNxWpFK1treozZZCAtaT8Ws+e6MN/IV6fhpcoh1AzQM+5YMiaVE7dLTp6gZ9lydIoqrW4hQgghRF4sFo93eEwD3gSWoYTNKgKDgRfB4YvKmgHLVq5k4sSJTJgwwcFZrrNarWRmZhbaTTa/2ykpKVitnv0lJNtF82hQvq6zAANQAyUkeLM/UMKG36N0Xb2qO1AJGA/Mc2B9dX6DdB81QtA3WozyOR3sghpc+Yzq6r+xzMxMF856K71en2cId+m+fVRyYt5+KJ/bT1E6D181B2gF3NwrfBjKv9Ht5O763MeJGgDl53evXs7OIoQQQgghbiPF991BIYQQQgghhBDChQL1elpElKRFREm1S/EIrVZLly5d6NKlC/Hx8SxcuJCYmBgOHz5s0/nbt29n+/btjBkzhkEPPMBMO9Ze1K0LesC/Y0fSvv2OzL/+Iqj/IwWeY4w9QfzEd/AqGUH42DfRBvjbsaLtFtauSfu4s9x9JYTtTnuSHH+rO2Li0ly3036cTc7Bfwh/a36u415lq137u2+LHgT2zL25qS7cuYBimtHCiTQjVYO9nZpH2MZsyiQ1cT9Wi1P9mVzivkh/AnQaXjySpHrg9uWd21nTrQfBevk+FEIIUcQcPQoOdFG9kT0dHk0oHTaPomynXgMltPkacBYl4OmIJijh3YkTJ9K8eXN69uxJdna2XQHZm2+bTCYHq1FHlgvnGgiMAz4H3s1nzO4rf97cvz8UqAbsd3Dt2y1s66qvi60h6JvNAUoCvV1Qgyu/xzzFaDSSkpJCSkrKtWNeQHkn5+2PErZdAjx75VgKys+hWcCMG8aeBH4F3iZ30NYl9u1z9YxCCCGEEKKYk7CtEEIIIYQQQghxh4uIiGDMmDG88MILbN68mZiYGL777jsMhsLfis3IyGDWokWMBSIKGZuj04HZjFWjBUAXXoLAXr0wxcXh37FDvucZT5wkfuI76MJLED7uLbSBgXY8Ovu9tmsHLSJKUsLHx63r7Et0vD+Wd/WGuW5rg8NAo73leK4xIeEF3u+ofUkGCdt6gNlsIC3xQJEI2l7VOdyP92rAq0eSsKhYx/msLGL+O8qLdeqpWIUQQgiRBye3Ugf7Ojz+APyDEki72tGxG5B+5fzhQE0Hamhyw9/vu+8+vL29yc52Va/X4iEWKHgfDtuVBV4GDgNP5jOmzJU//0bpTnxVAkqYuouDa+tr1uTnqVOxWCzXPqxWa763C7qvKIytFxcHGzY4+NnIbSCFh6BvtOvKx4uAK/ZccS6WX3QE4HgX7auCUTo6z+V62HYJoEX5mTjjhrEbUTp9l0EJ6f6GcuFBS+A9lJ+TDku9uYeuEEIIIYS400nYVgghhBBCCCGEEABoNBratm1L27ZtmTlzJosXLyYmJoY9e/YUeu524K5Cxqxo2QI2b8l1LPjxRws8xxR3joSJ7yhj+z+C6fx5OH/+2v26UlHoQq7HDgw7d2HNzsaapfQFMp09S9bWvwHwadwIrQ0B2vjsbMbu2cWnzVsWOtZRRouVQ8m3R0Bhb6KB+ysGFz5QOMxqMZGWeACLpeh9z9wV4Ud8jpmpJ9R9I3rxiVhG1aqDXqtVtQ4hhBAil+3bnZ7Cng6Pm1E6dN590xz3Al8CP6F0ubVX0xv+brVa74igrU6nIzQ0lNDQUMLCwkhKSIATJ1w2/5RC7u+DEvwcitKVuDFwHvgAyARGO7huia5d6d3bFX1Yi4izZ6G8s31UFbaEoG8058qfg1yyOmRWqkQVrZbMzEwyMzPJyMjAbDa7aHbP8XXRPE8DnYADQF2U4G1fcnfzBoi78udLV8YvAzKACUBnlAsQoh0twoYLkIUQQgghxJ1FwrZCCCGEEEIIIYS4RWhoKMOHD2fYsGFs376dmJgYvvnmGzIyMvIcv4OCw7b/1qzB+gbRt4RtC5Nz9CiWtDQAEqe8f2udw4fi36njtdspMXMwX7587bZh698YroRtIz/7GG1kpE3r/nzmNPeVLc9dZcvaVa+tErLNZFusbpk7P1mbl5O5dhlYLejLVyeg+2P4d3zQ6XnPZRavLYCLo8y0k1jMRXdj2cfLBLI+0cDfKep13b1oMLDyXBz3lnNN2EIIIYRwidhYp6ewp8NjzpXjN3fZvHq52V4HayhxpY7i1uMxJCTkWlj2anDW1tsBAQFoNJrrk/3yC9x/v8dqD0TpavsuSqfVsyhfh0bAbJSunQ5p0qTwMcVJ2bJQqhRcvOiS6QoLQV9lAL4BWuO6jsdzdu2C0NBcx4xG47XwrTs/XElT+BCbdACqovzsGwj8C0zLY9zVHTbKoQRtr3bVbQVUA94HFjlahNWzz9mFEEIIIUTRJ2FbIYQQQgghhBBC5Euj0dCsWTOaNWvGtGnTWLp0KTExMfz777+5xhW2Qe70vg/h37AB/p07Fbpm5PTrb6H5d+qYK0xbmFKzP7F5bGE+PLSfHmXK5H6T3UWyzZbCB7mQX5t78WnUAV14aSwpCWSuW0byF29iunSW4Icd7Yul8HRo+E5jzE4mO+uC2mUUany1UPrsvkymWb3vhwWxxyVsK4QQomhxUVdEWzs81gHMKCHNtjcc33TlzwQnavDD82HbgIAAh8OyQUFB6HTObmZ/AydCqgOvfBRm/023o4CPHV41H02bFj6mONFolK/NihUeXfZHIAkY7KoJq1W7JWgLoNfrCQkJISQkxFUr3cJqtWIwGFwW3NWmprqkq7cGeAqlg7cBqAG0y2Nc+JU/u3I9aAtQGmgA7HSmCD8/Z84WQgghhBC3IQnbCiGEEEIIIYQQwiZBQUEMGTKEIUOGsGfPHmJiYli0aBEpKSlsK+C82Kgo1jds4LE6XeVQSgrbExNoFh7h8rlzPBxIDBvxYa7bfi16kPDBc6T/GkPAXU+gCy7h8Nw5Hg4O30msFhMZKf+pXYZNyvp68WKlYCYdT1Gthi2XL3E8LY2qQTdHj4QQQgiVuChsa2uHx8eAicAzwDygJvA7SlgNlK63jnJka3hvb2/CwsIcCsuGhISg19/co1dFZctCVBRcKPoXQeXL3x9qu6oPaxHiYNh2II6FoAEevfLhMip2HNZoNPj5+eHn50d4eHjhJxTGaAQfH5d0hR0IjEPp7vxuPmOiCzjfinM/95DnFUIIIYQQ4iYSthVCCCGEEEIIIYTdGjRowCeffML777/PDz/8QExMDKs2baJrHmO/7t7N4/W5ysLjx9wSttVrXd8t117+bXuRvXMdxtj96Bq2d3geb51Tb1+KAmSmn8JiyVa7DJs9HBXAistZ7EjNUa2Gf+IvS9hWCCFE0eGisKitHR4jgD+AJ4GWV46FAx8Bg4CyTtRg0mjyDM+FhYUxZcoUypcvf0t41tdXieharVYMiedIPXWA1FMHST19gIzzf2M+n4n5dA4ajQat3ods/yAyytVCV7EuVKhLcMU6eAeGOVG1C2k00L8/TJ+udiWOe/hh8LoN3xpu00btCpx3OzyGq/R6qFULDh1yeqqywMvAYZSfa3lpAZQD/kTp7H21u+05YA9OhqLr13fmbCGEEEIIcRu6DZ9RCSGEEEIIIYQQwlP8/f0ZMGAAAwYM4OysWTB6dK77s7y9+a5TR1Vqc4X/xZ3lbYOBCF9Hennlz9erCARUr4YlNM4Ff32KQHD4dmSxmMjOvKh2GXn65tsVjHz+PXx8vPln42LKl4+6dt+TZQNZ+fxoLGmpRE5Xeu4Ztu8ga8tWjCdPYoo7B2YzZX74Ns+5rSYT6T/+ROba9ZiTkvCKjMT/ru4E3nO3TbXtTUri0crOP8bbTY7FzNHUVBKyszGYzRgtFnx0Onx1OioGBFDePwCNkz8LhBBC5MGFW5APpPAOjwDNgIPASSADqA7suHKf45dXwRcLFnDvgAG3HE9KSmLZsmWsWLECnU6X6z5D4nnObvyOuM0/kZ1c8O815uxMjOlJZF46zaWdf147HliuJuXb96N0y154+QY48Qhc4LnninfYdtgwtStwj65doUIFOH1a7Uoc4+sLjz2mdhWu1aSJS8K2AFMKuV8LTAceBnoDQ1F+9k0CvIHXnVlcxY7DQgghhBCiaJKwrRBCCCGEEEIIIVyi3LBhMHUqnDt37difTZuQHBSoYlXOybFY+PnMaQZXr+HSeUt46/DWasixOL+1pqMyN/4KOj36yvWcmifKX15ecofsrIuARe0yCpSdncO7U2P4/JOx1451CPPBW6t03bvKsO1fcv47hr5yJTReeoyxsfnOmRIzh8wNGwl+5GH0VauSvWcPqfMWYM0yEPTgA4XWtC85yZmHdNuIy8xk/cUL7ElKZF9yEodSUsix5P/9FOrtTXRoGNFhYTQIK0GnUlH43Y6d74QQwtMiI102lS0dHm9U6cqfVmAaUAbo6+jiPj707N+fVw8cYOrUqbfc/eeffzJ+/HgmTZqE1Wol8dBWzqxfwqXda8Dq3O8z6WePcOibiRz9cRplWvaifMf+BJap7tScDqtRA7p1g7/+Umd9ZzRtCs2aqV2Fe+h0ShD6jTfUrsQx/ftDiRJqV+FaTZrAokUeW+4h4CeUCxEeAnyADsC3QFVnJpawrRBCCCGEuIm8YiqEEEIIIYQQQgjX8PKCZ5+Ft9++dmhnDcffCM9cu47kT2eDXk/krOl4lSyZ6/74cRNydc9M/WYphp27MMdfxpqdgy4sDJ/o+gQ++MAt59pjZ2KCw+fmx1unoVaIN3uTsl0+983Sf5uDMe4YPnVboQsvhSUlkcx1P5C9dzNBD45AF+zc1rzRYa7t+iuUrZazM8+rXUahunRqwbKfVjFiaH/q1a0GgFajIdJbx419xUKeewaNVunmnPzV3HzDtsYzZ8hcs5ag/v0I7N0LAJ96dbGkpZO+7EcCundDW0h4/1BKMkaLBb22CHSP9jCL1crGSxdZcPwYf50/jwXbw/zJOTlsuHSRDZeUroMhej0PV6zME1WqUjUoyF0lCyHE7a9xY5g712XTFdbhEeBNoD5QGjgNzAX+AZYDDvfZjY4GLy/eeecdtm3bxtq1a28Z8s4779CiXlVKnV5N0n/bHV0pX2ZDBmfWLeHMuiWUbdeXmg+9gpefChf1DR9ePMO2w4erXYF7DRqkPA81GtWuxH5Dh6pdges5GFIdeOWjMPvzONb7yofLREZC2bKunFEIIYQQQtwGJGwrhBBCCCGEEEII1xk6FGbOhMREAPZVqeL8nEYjaUu+JWzUiAKHWTIy8GvbGn25cmh8fTGdPUvasp8wbN9O5PRpaB0MjO11U6fM+iV8PRK29SpTGcOONaTuWo8lIxWNtw/6irUJGzkNv9Y9nZ4/uoSPC6oUNzLlJGMxGwofqLKRwx9lz94jTHhnNt8vmXbteIS3ljM3jNPYGHw1bPsXrFb8O3XKddy/U0cyV63GsHs3/u3aFjhHtsVCbHoaNYNDbH0YxZ7RYuHr2OPMPf4fJ9LTXTJnitFIzLGjxBw7SvvIUgyvWYu2kaVcMrcQ4jZmtcKJE7Bjh/KxfTscPw5ZWWAwKBdm+flBRAQ0aqR02mzSRAly+jkcAy3amjb1+JJJwKvABSAYpbvjPygBXIddeRxeXl4sXbqUxo0bExcXd+1uDXBf3TAsK98jycv9F7zEbfyehAObqDtgEuF12rh9vVx69oQ6deDgQc+u64wKFaBfP7WrcK/ISOjbF775Ru1K7HO7dhxu3Bj8/SEzU+1KHJbWoAFBGo3aZQghhBBCiCJGwrZCCCGEEEIIIYRwnZIl4ZNP4NFHMWs17K9cyekpfRo2JGvTJgJ73Yu+Uv7zhQ4ZlPu8enXRRUaSOHkKhm3b8e/SKZ8zC3YiPZ1UYw7Bem+Hzs9PdJgvi0lxyVxhQ6fA0Lx7nfk26Yxvk84uWedmAV4aqgS59vMiINsQr3YJNgkM8GfM80/yxtiZbNi0g/ZtlQ5Weo0GP539QRvT6TNog4PRhYXmOu5VscK1+22RVhw7mjnoYEoyY7b/yz43XRQAXOt4+2ilyoyNbuDyn4VCiNvAkSMwezYsXgzxNvwfdvYs7N4N8+Ypt3U66NRJuWirVy8llFvMZWdn8+eff7Js0SK+wrE34wbiWIfHzxxYq1A3dKmMjIzkhx9+oH379hiNRiIDvXi5YxmiS/u7Y+V8GRLPs2PGYMq1e5iaD7+GzsdDgW0vL+V7t1UrsFg8s6azvvrq9g2032jcOPjxRyXcX1xMnqx2Be4REACPPqp87xVTff/6C5/evXnxxRdp164dGgneCiGEEEII4M7bT00IIYQQQgghhBDu9cgj8MADxJYuQ4YL3tQNvP8+tIFBpC6yv0uRNjhY+YsDwb8b7UtKdur8vDQo4evyOT2tfpgvWnnT0eXMxjSbxvV/4hUq17ybuLiLt9yXlJRKnQa9ubvXUCwWC+9OiaH/E69Qt9EDhJdux/DR7+Y557KfVnHv/SOoVb8XpSt2pk7D+3l0wKts+3dfnuOfGtCbShXLMOGdz7FardeO+2rt/76wpKWjDbx1O2itry94eWFJt+3zYjCb7V67uDFaLEw/dIB7Vq9ya9D2Rt+cPEHnv1ay/uIFj6wnhCjiTCYl1Na1K9SqpexsYEvQNi9mM6xaBQ8+CJUqwcSJcP68S8v1BJPJxJ9//smgQYOIioqiV69eLPjuOw6oXZgr3LQlfMuWLZk+fToVw7yZ0auix4O2Nzq78Tt2zByCMdO23xNconlzeOUVz63njGeegW7d1K7CM2rWhHfeUbsK293uX5uhQ9WuwGHHgT+BX3/9lQ4dOtC8eXO+/fZbTCaT2qUJIYQQQgiVSdhWCCGEEEIIIYQQrqXRwGefcaxmDddM5+tH4IN9yN69h+x9N/fuupXVbMaanYMx9gSp8xegK1Ma3xYtnKrhWFqqU+fnpW6YDxUC9C6f15PuKndrMFI4x2o1YzbZtt3qjGmv4qXTMfrFqbfc9+qb00lPz+LTmW+i1Wr5/MvvSExK5a7ubfD2zv/7LjEphebN6vH+e2P4Yck03hk/gkuXk7j3gZFs3rLrlvHe3nreeHUIu/cc5udf11w77uPoq44FZnRtC/BaCx9SrF3IyqLX2tV8ePAARqtnO+qdz8ri0U0bGLd7F2YPry2EKEK2b4dGjZRw7OrVrp07Lg7efhsqV4b331dCvUWYxWJhw4YNDBs2jDJlytCjRw/mzp1LcnLytTH/U6881yhfHurXv+Xw4/d25OMHqxNeBH6fTT62g+3TnsSYkey5RcePhzp1PLeeIypUgA8+ULsKz3r+eaXrcFF3J3xtGjeGli3VrsIhs8n9nGL79u088sgjVKtWjRkzZpCW5sFwv6PS0mDDBpg+HR5/HKKjoWJFiIxUdiSqUEH5Gda3L0yZAn/9BQkJalcthBBCCFHkSdhWCCGEEEIIIYQQrhcVRdLgwS6bLqB7N3SlSpG6aHGu7pk3Myclc77fo5x/7Akuv/IaVrOZiPHj0Po510U2yw2dMrUaDU9UC3H5vJ7iZTXTp3yA2mXcdszGDJvHlooM54MpY1i7/l/mL/zl2vH/rdjAsp9WMX7cUKpULgfAqWMrWfm/z5k29SX0BWzPPeTpBxn35nP0urcjbVo3os/9Xfnx24/QajUsWrI8z3P63N+FBvVr8O6UGIxGJRTl40BnW21QIJa09FuOWwwGMJny7HqbF1+dzu61i4vTGen0Wb+GvR7qZpufOcf/Y+S2fzAWl+2zhRCukZ0Nb76phKf2F34BlNNrvfoqtG0Lhw+7dy07Wa1Wtm3bxpgxY6hQoQIdOnRg9uzZXL58Oc/xXwLFuuf6c8/BTf+3Zlw4wc5Zz+CjKTqPLO3MIXZ+/Bwmg+2/SznFxwcWLgQX7OThFl5eMH8+XN3p406h08G8eeBbxHcR+eqrO+NrM2yY2hXYzQDMy+e+U6dO8cILL1C+fHleffVVzp4968nSCpeRATEx0KwZhIRAhw4wZgwsXgz79sHp03D5stKJ/swZOHQIfvgBXn8duneHiAioXRs+/FCCt0IIIYQQ+ZCwrRBCCCGEEEIIIVwuLS2NyWvWFD7QRhq9F0H9+2E8Hothy9Z8x2mDg4iYMpnwdyYQ8twzWNIziB8/EXOSc8E0d21L/0iVEIdCiUVBytpltGpYn6VLl2IpgoG7BIOJteczWPBfEl8eSeSTgwl8fjiR+f8lsfxMGqfTcwoMbqvFZLw1bFqQ+3t1ps/9XRg38VNOnzlPYmIKL736IR3bN+PpJx+4Nk6rdfxlwMBAf3x8vPHyyjvEqtFoGPfWUE6cjGPBol8B8NJoCNfbt6ZXhQpYUlMxJyXnOm46ffrK/eVtmufzmTNZunQpx44dK5JfY0edycigz/q1nMrwUIioEL+cPcOwf7ZiKoL//oUQbrB7NzRtCpMng5t+L8rTP/9Aw4ZKB0gVf6ZbrVb27NnD66+/TtWqVWnRogXTp08nLi6u0HNPU4y72+r1MGhQrkPGjBR2zBiEMS1RpaLylxK7h71fveS5//+bNIEff1Q+T0WJRgOLFkGnTmpXoo6aNeHLL9WuIn9jx0K3bmpX4RmPPKL8DC9GPtTpKOynW0pKCu+//z6VK1dmwIAB7NmzxyO15evwYRg9GsqWhWeeUTrQO/pz8PBhePllZa6BA2HbNpeWKoQQQghR3OXfxkIIIYQQQgghhBDCAVlZWfTu3ZtYrIS5cF6/Nq3J+PU3UpcsxbdF8zzHaHQ6vKtVBcCnVi18GzXk4rCRpP/0CyFPD3R4bZ3GPYHYEj5e3FshiGUnU90yvztl/rWU/07+R//+/Zk6dSrvvvsud999Nxo3fa4KczIth9/OpLEn0cCeRAPnMgvfdjrUW0v9MF8alPCla9lAmob7qlb/VRZztt3nvD95DJu37mbkC1OICA8lx2hk1vTXnKrDbDZjsVg5f+EyM2Ytwmq1Mmhgn3zHd2zflI7tm/HhR/MpUyYSgDI+OhKMtgcxfZs3JW3pt2SuW0/QA72vHc9cux6Ntze+NrxRbzWbmTt1KnNzjACEhobSpEkTmjZtStOmTWnWrBkVKlRQ/etsr0uGLB7ZuJ7zWVlql5LLinNxvLxzO9OaNENbzD6nQgg7rF4NvXsrHfPUkJ0Nr7yiBIC+/PKWLqvudOTIEZYuXcrSpUs57GCH3fLly3OpeXNYtszF1XnAQw9BqVK5Dh35bgqGxPMqFVS4+L3rOLf5R8q2fdAzC951F3z7LfTrB0ajZ9YsiFardE3t10/tStT1xBOQlKQEEIuSESNgwgS1q/AcvV7psNy0KZgKf36mugYNGPLbbxi/+opPP/2UhEK6u5pMJr7++mu+/vprunbtyosvvkiPHj0891wjLU0Jxn7xhevnzs6GBQuUj9694fPPISrK9esIIYQQQhQz0tlWCCGEEEIIIYQQLmM0Gunbty9r167FmpPj0rk1Gg3Bjz+K+cJFMv9abdM5uvBwdGFhmM45Fwhw57b0g2uEUdwiatkHt2E8efDa7d27d9OzZ0/at2/Pxo0bPVaH2WLlz7h0Hl9/ljbLTzBlbzy/n023KWgLkJxjYePFTD45lMj9q07TfeUpFh1LJsOOgKirWbF/7bCwYGZNe41Nm3fy869rmPLO85S9Enh1VOsOA4iq0IlGzR/mj7828/03H9KwQc0Cz3n7reeIT0hmz94jANe6NpsuXyZr699kbf0b84WLANdu5xw7fu18ffny+HfuRNp335P+y29kHzhI6jdLyVy1msAH+6ANCiy0btOZs5BzPeiSnJzM6tWrmTp1Kn379qVSpUpERkZy9913M3bsWH755Rfi4uKKdAdci9XKiG3/cDLDvq7HnvLdqZMsOH5M7TKEEO6yfDncc496QdsbzZ0L/fu7PbB18uRJpk6dSqNGjahVqxbjx4+3O2hbqlQpRo4cyaZNmzh58iRDvvsOatVyU8VuNHJkrpuX967j3Naf1anFDh4PBD/wAPz2G/j5eW7NvOj1SvD3qafUraOoGDUKpk9Xu4rrRoyAmTOVzsN3kgYNlG6+RZ2XF8yfT6ny5ZkwYQKnT59m9uzZVK9e3abTV61axd133039+vWZN28e2dn2X0Rpl1WroF499wRtb/bLL1CnDixerGqXeSGEEEKIokDCtkIIIYQQQgghhHAJs9nME088wfLlywGwprs+lOETHY1PdDRpPyzDajAUOt50/gLmxAS8SpcqdGxBQry9nTq/INElfHm6hit7ALuXNSeb5K/ezvO+TZs20b59e+655x527drlthrMFivz/0ui9f9ieWpjHGvPu+Z77WByNq9uv0iTX48zYdcl0owe3Cb7KqtjQd+uXVrStEldqlYpx8MP9XC6jAVz3uHPFV8wL2YiNWtU4uHHXmbTloK/ptH1a/Dg/V2v3dZfCdvm7D9A0rTpJE2bTvbu3QDXbmf8sTLXHCFDBhF4f28yfv+DhEnvkvX33wQ/9SRBDz5gU93G2NhCx8THx/PHH3/wzjvvcP/991OuXDnKlCnDfffdx4QJE1i+fDkXL160aT1PWHTiOJsvX1K7jAK9u38vp9KLZhhYCOGEdevgwQfBxRdQOeX772HwYLC49sKYuLg4ZsyYQcuWLalcuTKvvfYau6/8n2WrEiVKMGTIEFavXk1cXByzZs2iTZs2aLVapdvo55+7tGa3GzQIWrW6dtOYkcLBRXn/DljUmAzpHPj6bc9eTNOjB/z9N9jQid8tatWCjRuVbsTiuuefV4L6Xipv9jp2LMyapfwsuBO9/rp6/zZs9eabuWr09/fnueee4/Dhw/z888+0a9fOpmkOHDjA008/TaVKlZg8eTKJiYmurTMzE557Drp1g9OnXTt3QZKS4PHHoU8fuHzZc+sKIYQQQhQxGmtRbtsghBBCCCGEEEKIYsFqtfLMM8/w1VdfXTumDQkhas6XDs+ZuXYdyZ/OJmLKZLyrVb123Bh7gsuvvg5WK17lyxE5fRrGk6dImb8Qv1Yt0JWKBI0W0+nTpP9vBRiNREydjFfJkg7X8meX7tQNDXX4/MJkmSx0/eMkJ9OLwNazhfBbtZDjcybbNLZfv35MnDiRGjVquGz946k5vLjtAv/GZ7lszvyU8ffiw2ZRdCgd4Pa1rspIPU52pmOd2Hr1GUlCYgqb1y0scFyFqt25794OfDrzTZvmNZlMdOw2CK1Ww4bV822u56l98WxP9WxAKzlmDpkr/3TJXOXLl6dp06bXPpo0aUJ4eLhL5rbVmYwMuqxaSUYx2Ha3VURJvmvfEe2d1q1NiNvV0aPKtt9paWpXkre33oJJk5ya4vLlyyxbtoylS5eyYcMGh4KZQUFB3H///TzyyCN07doV78Iu0Bo1Cj7+2MGKPahcOdi/H0JCrh06uHg8Z9d/q2JR9qs/+ENKN+/p2UWNRpgyRfn+NHrgd3utFl56CSZMAF9f969XXO3Zo3T8deMFgXmqWBHmzIEuXTy7blF09Ci0bVs0g5p33QW//qp0hy7Atm3bmDZtGj/88AMWGy/68Pf35+mnn+b555+natWqhZ9QkORk6NkTtmxxbh5nVa8Of/2lfH8LIYQQQtxh7tDL54QQQgghhBBCCOEqVquVF198MVfQFsCSkoI5IcHl6+mrVMavTetcx7ShIehKhJH+2/9I+uAjEt+bSsYff+LbpDEl33/PqaCtj1ZLjeBgZ8sukJ+Xlo+aR1HUI2pNwn05+PkEFi1aRJUqVQod/+2331KnTh2GDBnCmTNnnFrbbLHy5ZFEuq886ZGgLcC5TBOPrj/LK9sueKzLraYIvlzn5eVFdP0aHI+172uYY/H8Nf7+F1zXkfbMmTP89NNPvPnmm/To0YOIiAiqVKnCww8/zPvvv8+aNWtISUlx2Xo3s1itvLjj32IRtAXYGn+ZBcePqV2GEMIVzGYYOLDoBm0BJk+GbdvsPi05OZl58+bRo0cPSpcuzdChQ1m/fr1dQVs/Pz8efvhhfvzxRy5dusTChQu55557Cg/aArz3HtjwO5TqvvoqV9A2Jz2Jc1t+Vq8eB51atcDzi+r1ShfT7duVwLo71a0LmzfD1KkStC1Mgwbwzz8wcWKhgUqXee452LdPgrZX1agBK1eCm59b261tW1i2zKbvi+bNm/Ptt99y7NgxRo8eTUBA4RdlZmZm8sknn1C9enUefPBBtm7d6lidCQnQsaP6QVuA//5TPm/H5Hd/IYQQQtx5pLOtEEIIIYQQQgghnDJhwgTGjx+f530l33wNfaNGni3IxRqGlWB5564eWWvS7kt8fjjJI2vZK8BLw4rulagWrARJcnJymDNnDpMmTeL8+cI7sfr4+DBs2DBef/11StoZfk43Whi0KY5NFzMdqt0Vyvl7sbhjOaoF+7h1nayMs2SlnXToXHd1tjUYsmnf9Sm89Xo2rbU9tNJj+0XOZXsmpAwQHRrG8k5dOH36NNu3b8/14c5QbI0aNXJ1wG3UqBGBgYFOz7vyXBxPb93sggo9J8hLz46e9xLg5aEQixDCPaZNUzplFnW1a8POnYWGDNPT0/ntt99YunQpf/zxBzk59ndd9/b25q677uKRRx7hvvvuc+7n/IYN0KkT2NgV0eMGD4aYmFyHTv45j6M/vK9SQc5p8cZ3hFSqr87iVqvy9f7sM/jxR3DFBTRaLdx3HwwbBl27KreFffbuhVdfhT/+cM/8LVvCu+9C587umb+4275d6STrhgtz7dahg9LR1sEAcFJSEl9++SWzZs3i/+zddZhUZRvH8e/Edics3c0SSyMpIIhIKALSKCAIKqEoryIGiAgipYBKtxIqiIR0dy3dtdR2x8y8fwwgCxszszN7ZuH+XNdcsGfO85x7iN2Zc37nfm7dumXyuLp16zJ8+HDatm2LRqPJfkBsrDG0feCARXXaTNGisHOnsRu6EEIIIcRzQsK2QgghhBBCCCGEsNj333/PsGHDMnzOxcWFfit/57f4uFyuyro0u/fS19uHnj17UqRIEZseS6c3MGhvGH9es69Ock5qFQsaFaJ+PtennnvYqWfcuHFERmYfFHZ3d2fYsGEMHToUTxMuakYk6+i+7QZHI5Isqt2afJ00LG5UiMq+tusclpocRWzkSYvGZhW23bX7COERUQAMGPw1NapX5K3e7QGoV6cq/v4+ALRsM4CWLepTpnRRPD3duXY9jDnzVnPs+Dnmzx5Dyxb1TaolKlVPg/23LXodlpoYUoPOxZ7uFqjX67l06VK68O2hQ4eIi7PN9yaVSkX58uXTBXCrVq2Ki4uLWfO8uWMb2+5ar1NvbhlXLYTuJXK4RK4QQjlnz0LVqpCk/M9dk4wYAePGPbU5MTGRdevWsWzZMv766y8SE83viq/RaGjWrBmdO3emXbt2eHt7W6HgB2bPhrfest581tK8Ofz1Fzj9d3ORQa9n52etSLx3TcHCLFegXgcq9RqjdBkQFmYMMf/+O4SGmhe2VqmgXDlo3x769wcbfyZ5bly8CDNmGP8/RkTkbC5XV+jaFQYMgDx+s2muOHUKWrWCawp+X2nXDhYvBjPfo2ckJSWFpUuXMnHiRI4fP27yuJIlSzJkyBB69eqVeZdcgwFeftl24fCcqljRGAK2wp+jEEIIIUReIGFbIYQQQgghhBBCWOSXX36hb9++GT7n4ODAn3/+iV+NGrTbtjmXK7OuiO8mkrRvPyqVimbNmtG7d2/atWtndnDOVCk6A/1332LDTfsIKTuqVcysX4AWBbPu4BYVFcWECRP44YcfiI+Pz3ZePz8/Ro4cyYABAzL9s4xO0dFx83VCo5Itqt0WvB3V/N60COW9bdPhVq9PI+ruXovGZhW2fbXDYHbtOZrhuD9WTOGFesZQwKgvprNtx0GuXb9NQkIifr5e1AipxKABnalV0/SucLsjk+h/KoehBTN4Ozhy8OVXcNFqTdpfp9Nx7ty5dAHcI0eOWBTGMoVGo6FSpUrpAriVK1fGySnjf0eXYmNpsGGdTWqxtfJeXmx8sQUqlUrpUoQQlmjcGLZtU7oK06nVcOQIBAeTkpLCpk2bWLp0KatXryY21vybl1QqFQ0bNqRz58689tprZnfjN8sPP8CQIbab31z16xuXeH8i8HU/dCeHJ2f8nj8vUDs40Wj8VhzcvJUu5T8JCXDsGBw6ZOzyef26MeCenAyOjsZuzQULQkiI8VGtGliha77IRGIirFhh/N536BCcOJF9F+KHAeiQEKhXD7p0AWsG8p8H0dHGLuq//JK7x/X0hO+/hz59jH+PVmQwGNi0aRMTJ05k/fr1Jo/z9fVlwIABDBo0iPz586d/csYMY4jbng0bBhMmKF2FEEIIIUSukLCtEEIIIYQQQgghzLZs2TK6dOlCRqcV1Go1y5cv57XXXsNgMNBs0wbOxNhuCXdb0kVEcGfAINDp0m338vKiS5cu9O7dm5o1a1o9VJaqN/DB3jBWK9zh1kWjYnaDgjTMn0mXnQzcuXOHsWPHMmPGDJOWaS5YsCCff/45vXv3RvtYUDIxTc+bW2+w/75two85EeCsYfWLRSjm4WiT+aPuHUSvyyMdBTPx8/VYpuTiv9++pcowukrVHM2RlpbG6dOn0wVwjx49mum/48KF8lO1SlkqlC+Jl5c7zs5OqFQqkpNSiE9I5Oy5Kxw7fpbzF66hz6B7nYODA8HBwekCuBUrVsTBwYHRx47y84VzOXo9SlrdqCk1/f2VLkMIYa5Dh6BGDaWrMNutVq0YXagQK1asIMLC7pS1a9emc+fOdOzYkYIFC1q5wizMnGkMUSl9qa5FC1i58qmgLcCpBZ9zY8dyBYqynspvfUdQ7VeULkPkFUlJxsDtsWMQE2P8Wq83du50c4NKlYwdwCUAbR3r18Pbb8ONG7Y/1ksvGTtMFy5s80OdOHGC77//nkWLFpGammrSGEdHR7p168bQoUOpWLEiXLkClSuDjVbksBqVCnbuNAbPhRBCCCGecRK2FUIIIYQQQgghhFnWrFlD+/btScuk28+cOXPo1avXo6/nXbzAyKOHc6k664pd/huxy3/Pcp8KFSrQu3dvunfvTr58+ax2bJ3ewJRT4fwQGk6aAmdvSnk6MrVOEMG+zhaNv3r1KqNHj2b+/PkZBg2fVLp0ab766is6duyIWq1m9JG7/Hw20qJj54Zqvs6sblYErdp6QesDB8IYO/Yc7V5xok3rbLpp2bkhZyLYFJ47gWEvBwe2NG9JPht0m05JSeHkyZMcPHiQs2dCyR/oTMkS+QmuVAZfXy+T5oiLT+Bk6AX27z/BoqVruXDxeqb7Ojs7UyUkhNuDBpDq4GCtl5HrOhQpytSatZUuQwhhrrffhl9/VboKsyUABYEoM8dVrVqVzp0788Ybb1C8eHHrF2aqVauMf/Y5XcbeUv37w+TJkEm39T1fv0bstVMmTbXhXBQTt93O8LnXKvvSr04ge6/Gsf1SDBfDk7kelYzOAOv7lst27sM34/nkb+PP0OXdS+HlbFo3e4CizXpS9o2PTd5fCJHLoqPhyy+NXW5jYqw/f9my8PHH0LOn1bvZZufWrVtMmzaNn376iaioKJPHvdyyJQvu3MH3yBHbFWdNZcrA0aPGULoQQgghxDNMwrZCCCGEEEIIIYQw2ZYtW2jVqhXJyckZPj9lyhQGDx6cbltcairV//6L+OyW4rQzBp2OOwPeRR9hWuBTo9HQunVrevfuTevWrXGwUlAuNDKJIftuExqV8Z+5talV8E5ZX4ZV9sNZo87xfKdOnWLUqFGsWLHCpP2rVq1Kry8m8l1CQez9pNXIKv68W94vR3M8DNhu2uRLXFxlAF5rf5dZP+bdrqaJOj0vHrhDrC53/gYn16jF60WL2WRug8FAWmoMyQlhpCSFgxX+VW7bfpDZ81axbv0udE90zQZwKFWSgHFjc3wcJeV3ceHQy22ULkMIYY7ISOOy9Yn211HeFB8Ak03Yr1y5cnTu3JlOnTpRrlz2Ac9cc/u2scPt6tW5d8wiRYzh6mbNMt1Fn5rCv+/VwKAzrSvjw7DtsEb5KeyVPrzr56Yl0N2B77eFcfJ2AiX9nQmLSeX8/aRsw7aJqXr6/36ZNL2B8IQ0s8O2PqVrUPPDBSbvL4RQSHw8LF4M06cbOwvnhEYD7drBwIHQpEmuh2yfFBcXx5w5c5g0aRKXL1/Odv9ewBybV2VlI0fCmDFKVyGEEEIIYVMSthVCCCGEEEIIIYRJ9u7dS7NmzYiPj8/w+TFjxjBy5MgMn/v06GHmXLxgy/Ksrioq1HPns27dugwDcVkJCAigW7du9O7dm8qVK+e4llS9gamnwpls4y63pT0d+b52fqr7Wb8bzcGDBxk5ciQbN27Mcj+VozMB41ajDSpm9RqszVGtYv1LRSnjlXEnuMzs23eLb745x7//+j0K2Kab11HP8UMHCPA3Ldhib36/Hc8XF6Nz5VjNgwowp259VDa4eJ6aHElC7GV0aQlWnxsgLOwe4ybMZuHiNem2u7Zojne/ty2aM2HLVqKm/wQODgROmYQ2ICDd8/dHfYE+NobASRMBMKSmEbtiJYnbt6OLiEDj7YNLg/p4vP46KidHy17YA0dbv0qAs2WdsYUQCpg0CYYOVboKi50DypHxLRHFixd/FLANDg62yc8MqzAYYOlSGDTI9l1u+/WD774DT88sd4u5GsreMa+bPO3DsO3UdkUpE5Dx+0m9wYD6wd/BtF23+etUVLZh22m7bnP6TiK1iriz+Ei42WFbjbMbTX/Yj0qd8xvJhBC5wGCAvXth7Vo4dMj4uHcv+3FlykBICNSsCR07QqFCtq/VTDqdjlWrVjFhwgT27duX6X4ngEq5V5Z1+PjAjRvg6qp0JUIIIYQQNiOfKoUQQgghhBBCCJGt48eP06pVq0yDtiNGjOCTTz7JdPyQ8hXwy2RpWnvkotEw/aVW/PXXX1y/fp3x48dTvnx5k8ffu3ePSZMmERwcTI0aNZg+fToROQhNOKhVDK3kz+5XSvBeBV/8nTQWz5WRuoEuzKhXgI0ti9kkaAtQo0YNNmzYwObNm6ldO/Pl5T3e+CBPBG0BUvQGhuy7jU6ffQJ6375btGu3FQ+PE9SpU4A//micYdAWICVFzcLF+axcbe5Zfts24dQneTk4MK5aiNVDUwZ9GvHRF4iNDLVZ0BYgKCiAyRNHsHzxBAoUCHy03aFEiZxPnppK7JJl2e4W+cNk4v78E9dmL+I38mNcX2xK3F9riZj0Q45LOB5pWldwIYSdWLlS6QpypAzpQ0kFChRgyJAh7Nu3j4sXLzJ27FiqVKliv0FbMHZd7NIFzp6FsWONnWetycnJuIT6/v0wc2a2QVswhm2tTW3m38GJsATWnYnig4ZBqC3869MlxZNw96plg4UQuU+lgrp14euvYd06uHMHrl0zdv+eNQsmT4YJE2DaNGOH7q1bITra+P1z8WIYMsQug7ZgXBHn9ddfZ8+ePezcuZP27ds/9bOpAXkwaAvGLvnLsv8MIoQQQgiRl0nYVgghhBBCCCGEEFk6d+4cLVq0ICoqKsPnBwwYwDfffJNleMHPyZmxVavbqELrG1kpmGLu7gAEBQXx4YcfEhoayt69e+nfvz+eJoQTHjp06BCDBg0iKCiITp06sX79erM75T5U0M2BEcEBHHi1JD/WDaJ2gAuWRka8HNT0Lu3NllbF+L1pEdoU8cDB0gSDGZo0acKePXv4448/qFQp/SVEtW8+3Fp2s3kN1nQ0Iol1N+MyfG7Pnpu0bWtawPZJS5YnoDchxGtvjsWkcDre9h15NSoVU2rWJr+LdcPhqcmRRN8/QnLibavOm5UXm9Rm15Z5dO3SGgDHksVzPKdT1aok7txJ6pUrme6Tcu4cSfv249mlMx4d2uMUHIxHx9fweON1kg8eIunY8RzVcDzKxl0ZhRDWo9PB4cPZ7jYXUD14bM3geQNQ6sHzjR/bPh/oDJTFeFGqWBbHiAM+AAoAzkBVYGm2lRk19vBgwIABbNu2jevXr/P9999Tq1Yt+w7YZsTfHz75BC5dgj//hJYtczZfiRLGLrY3b8LcucaOjyZKirpj0SH1BtDpDekelkhO0zNpexjtK/lS2j9n3dKTInPvZ7sQwspUKihcGNq2hb594b33YNgwePdd6NMHGjUy6QYCe6JSqahfvz4rV67k7NmzDBw4EJcHn20GKlxbjvz4o9IVCCGEEELYlOlrrAghhBBCCCGEEOK5c+3aNZo1a8adOxlfaO/WrRvTpk0zKcTwSqHCvHLjOmtu3rB2mVZV1z+AXiVLPbVdpVJRu3Ztateuzffff8+qVauYM2cOmzdvxmDIPkCQkpLC8uXLWb58OYUKFaJHjx706tWL0qVLm12jo0ZF26KetC3qSVyqntDIJI5HJnE8IpmTkUlEJOtI1htI1Rtw1qhw1qgp7u5AZV9ngn2cCfZ1priHg9mdxaxFpVLx6quv0rp1a5YsWcKoUaO4fPkybk3fQKXJe6er5p2P4pXCHoAxYDtu3Hk2b/Z7EKwtaOIsMQQFnaJ581QGDSpFzZoViI08TWpyuM3qtoWFYRkHj61JBfxQoxbNggpYbU6DwUBS/A0S45Tpeufp6c6U7z+mS6dXGZjiQVoO53Nv14bUS5eIWbgYv09HZrhPypmzADhVr5Zuu3NICLGLl5K0dx/OVYItruFUdLTFY4UQuezsWUgwvZO3B/Ar6QO1ANuAiw+ef9wC4DZQC9ADWd2S0QE4AIzD2K12MdDlwbg3s6nrh27dUD9LIR+NBtq0MT7u3ftvKfVDh+DgQbh+/ekx7u5QrRrUqGFcSj0kxLisutqy3jv61GSLxr3/x9M/T/9+qywaM2/smnfwPnoDdA/xt6iOx1n6WoQQwtZKly7N9OnT+fLLL5k/fjyvjR+vdEmWO3jQ2EG9Vi2lKxFCCCGEsIm8d/VCCCGEEEIIIYQQueL27du8+OKLXM/oQj7Qrl075syZg9qMi/djq1Vnz/17hCfb58VuF42GCSE1sw2hurq60rVrV7p27crVq1eZN28ec+fO5fLlyyYd58aNG4wdO5axY8fywgsv0Lt3bzp27IiHx5PxlOy5O6ipHehK7UBXs8cqTaPR0K1bN9544w1m/TqbsRrLg31K2n03gRbdd7J7lTfx8ZUwNWDr5HSe4OCbdO7sRb9+FXF3r5PueVfPEsTcj8JgsKwTcm7bGZnEP/eTbHoMjUrFxJCadChS1GpzGgwGEuOukBR/02pzWqpu7Qp8H5HE8DMRpOSgsbHK2QX31zoQM2cuySdO4lT56YVoDWnGSK9K65B+rIPxlHHq1WuWFwDEpKTkaLwQIhcdOmTW7p2ARcB04PE+gr8CdYGYJ/Zfz3/LLL4CnMxk3r+BjfwXsAVoAlwFPnxwXE0WdamPHDHtBeRFAQHGDrePd7lNSYGkJOPDwQGcnY0PK95MpU+zrFv9h42DKOLtmG6buUHbM3cTWXUygjGtCuOkzflCnXqd7TvvCyFETvj5+TGk1NM3/uY5K1ZI2FYIIYQQz6ycfzoVQgghhBBCCCFE7ktONnYMWbAAZs6EyZNh6lT4+Wf47Tc4fx70eounj4iIoEWLFly4cCHD55s3b87SpUvRas27j9fPyZlf69bHWZNVVEIZGpWKH2vVpZi7u1njihYtyqhRo7hw4QJbtmyhe/fuj5Z/NMXOnTt56623CAoKonfv3mzfvt2kTrnPEkdHR4q27orK00/pUiy2T1P6QdA2K3Hkz7+PN9/czu7dN0lKKs3+/Y0ZOrQa7u6OT+2t0Tjh6lHcNgVbWWyantEXomx7kNRUWt66TV0rdz9OjLtqF0Hbh5r4OjOhrA/aHGal3Fo0R5MvHzELF2X4PUVbqBAAKWfPptuectr4tT4uNkfHT9LnjZC4EAKzw7YPg7BLHtsWDawA+mSwv6kXolYB7kDHJ7b3Bm4B+7Kb4OhRSMtpb/A8xNHRuGx6YCD4+ICLi1WDtgDqJ27IMFURb0fKBLike5jr++1h1C/mQRl/Z+KSdcQl60jRGX+eJaToSUgx7+eMWvv0ey0hhLA7Bw/m+iFVmTzGWTqhAq9BCCGEECK3SGdbIYQQQgghhBAiL4iJMXYH2b3bGIg4eRJSs+nO5On53/KxTZtCixbG5WizERsbS6tWrThx4kSGz9erV49Vq1bh5ORkySuhpp8/v9apT+89O0nJQSDYmh4uS9+igOXL0qvVaho3bkzjxo2ZNm0ay5cvZ86cOezevduk8fHx8cydO5e5c+dSsmRJevXqRc+ePSlcuLDFNeUlSy5FKV1Cjrg2jCFmYSDo0odcHB0vUrnydTp18qR//4p4etY2a15Hl3ykJIWTmhJpzXKt7rvLMdxJsd3/5+TTZ4ia/hM/377NL++9T5MmTejevTsdOnTA09Mz+wkykRh/k6T4G1as1Dqa+LnwRSkD/zsfZfEcKgctHl06EfXDFJJ278Glfr10zztXq4Ymf35iFi5C7eWFY6mSpJw7T8ySJaBWo8phYEv/fN0zIETelskqBpnxBF4HZgP9H2xbgjFU2wn4wcIyTgLlefrCVfBjz9cjC0lJEB4O+fJZWIF4ktrBWbFjX41M4WpkCjsuP33zR69llyjh68RPr5l+U5KEbYUQeYKZN8BYy+vAsCe2FbF0ssOHwWCw+g0gQgghhBD2QMK2QgghhBBCCCGEPTtxAn76ydjBNi7OvLExMbBli/ExYQIUKwbvvAN9+hiXos1AYmIibdu2Zf/+/Rk+X7VqVdauXYubm5uZLyS9xvnzM6/eC/TZs4tEnbLdD7UqFVNq1qZtYYsvJT3F09OTt99+m7fffpuzZ88yd+5c5s+fz61bt0waf/HiRT777DNGjRpFs2bN6N27N+3atTOrY649i0tN5WRUFMejIjgRGcmthET238mPJYsw3epSzqT9/D6bh1MFY9A17d5NYldMJ/nYDvRxUag9fHAsGYzvsGlmH/8htasehyLJpF7WkS/fSZo0Sebdd0vwwgslgZIWz6tSqXD1KkXM/SMYDPbZrW9HRBKr7ibYZG5DcgoxS5YQ//e6R+lNg8HA5s2b2bx5MwMHDqRt27Z0796d5s2b4+Bgege+tNQ4EmMv26Rua3g10JU9UcmsuZdo8Rwu9esR/+dfxCxZinPt9Eu5qhy0+P3vEyKnTiPiqzHGbc5OeHTpQtyKFah9fXNUvz12MBdCZCIpyewhfYAmQChQEWPwtiPgkYMywoESGWz3fez5bFnwWkTmnH2UCy6Pb/30DWcbz0Wz8XwMnzcviL+beZc4nX2DrFWaEELYRnIyHD+uyKHzAXWsNVlUFFy6BCUt/xwshBBCCGGvJGwrhBBCCCGEEELYo82bYfRo2LHDenNeuQIffwyjRkGnTvD111Dkv4BpamoqHTt2ZMuWLRkOL1euHBs2bMDb29sq5TTMl59lDRrTb+9ubidZHibLCW9HR6bVrE2T/La7+F62bFm++eYbvvrqKzZs2MCcOXP4888/SUlJyXaswWBg48aNbNy4ES8vL7p06UKfPn2oUaNGjrtO5rabCfEsvHyJdTdvciE2hnRNLw1OYLCsq7D/l0vTfR278idSTu3D79O56bZrC5YCIPX6OcK/7IEmX2E8u32Exjc/+qh7JB3badHxH9dx6FmmdyuLt7d53Wuzo9E44e5TgdjIk2Cwj27QD11I0PHhOet33TXo9CQdOkTM/IXobt/OdL/ExESWLl3K0qVLCQgIoEuXLnTv3p2QkJAs/48YDHrio89ZvW5r+6SEF/uik7lnYddglUqFZ7c3Cf9yDAkb/33qeW1QfgLGfo0uPAJ9XBya/PkwJCQQM2cuThXK56h2VwnbCpF3mPCe5EmNMN5KMhvoBRwAJlqhlKze3Zj0zic52QpViIc8i1a0+px3YlM59+BGkrAY40odOy7FAJDPw4EyAcaby6oUePrmvuNhxpt7KuZ3wcvZ9EucWmd3XAOsd2OdEELYRGho9isYZWA08AVwDPgK2ABoMP58Hg9cBN4HdgF+wEDgI2vUm5VDhyRsK4QQQohnkoRthRBCCCGEEEIIexIbCx9+CDNn2u4YKSnGTrmrV8PEifD22+j0erp3787atWszHFKsWDE2btxIQCYdcS0V4ufH5uYvMfr4UZZfvWLVubPTskBBvqlWnUDn3OkWq9Vqefnll3n55ZcJDw9n8eLFzJkzhyNHjpg0Pjo6mhkzZjBjxgwqVqxI79696datG/nseKlkvcHAjrt3mHfxAhvDwtCTybryBsv/DhxLV033tdrTB1Tqp7aDMbwcOX0Ear8g/D9fhMrhv+WEXeq+bHENDxWsnQ9vb9sst+zg6ImHd3liI08D9hG41WhdCSlaiXkeUcy7dJF1N2+QZsjk79hE/k5OdClanKI3b/H3rdusjInB1J659+7dY8qUKUyZMoVy5crRrVs3unbtSrFixZ7aNzHuOro023TjtSZPrZpRJb0ZfDrC4jmcgoNxCg4m9vcVaPz8MtxH4+eLxs/YOzJ6yTJUzk64Nm1q8TEBynh65mi8ECIXOTpmv88TVEBvYAqQBJQBGuSwDD8y7l778DugSf22nZxyWIV4nHuBUqi0DhjSzA9/ZeZYWDwTt6W/kebrf42rPzQv7cnwxtZ/b+5RpAIqtfkrKAghRK66fj1Hw98AugH9gY0Yg7apwCaMAdvhwGJgBFAK6PDY2MXArxg/aVYCBmH8OW+xa9dyMloIIYQQwm5J2FYIIYQQQgghhLAXmzbBW2/l3kWJ2Fjo1w/D77/ziY8Py5Yty3C3oKAgNm3aRKFChWxShpejI5Nq1OKVgoX56PBBm3e59XZ0ZEzV6rQtVFix7rB+fn4MHjyYwYMHc+zYMebMmcPChQsJDzdpgWRCQ0MZPnw4H3/8MS+//DK9e/emdevWODg42Lhy0x2NiGD4oQOcjonOfmeDq+0LAlJOHyDt6mm83/kmXdDWWk5E2HbpagcnHzx8KxIbeQoMOpseKzsaB3c8fCqiVjtQNyCQugGB3ElMZNX1qxyKiOBEZCTXE+KzncdBpaaslydVvH2pHxhIywIFcdJooHIwXVq25KeffmL16tUsWLCATZs2odebFjQ+c+YMn376KZ9++ikNGzakW7dudOzYEW9vb9JS40iKz9mF7NzU2NeZVwJcWHPP8u+Nnt3e5N6IT9BHR6Mt/N/38tjVf6Dx9kbj748+OprE3XtIOnAA78GDHoVvLVXZJ2fjhRC5yNmyG0V6AaOAGcAYK5RRGVgCpJH+4tWJB79WMmUSC1+LyJha64hHoXLEXDmR/c5AizLetCjjneN9MtM9JIDuIebf/OdZzKR/PUIIoazEnJ0L6QcMffD7Zhg73E4DVgLtH2xvDKwBFvFf2PZNoDVQGLiLMXTbB7iEsVOuRZ6nTvM6HSQkGP/+dDpwcQFXV4tuZhJCCCGE/ZOwrRBCCCGEEEIIoTSDAf73P/jmG0UOr9qwgU+B48D6J57z8/Nj48aNlMyF5f9eDApic/OX+PnCORZdvsTdJOsGF70dHOlUrBjvlCmba91sTVGlShV++OEHxo8fz5o1a5g9ezbr1q0zKVSYlpbGn3/+yZ9//klAQADdunWjd+/eVK5cORcqz1iyTsf3p0P56dxZdKZ2OTXkTjAm5cxBAFQuboR/24/k0L2o1FocK9TEs+sIHAqWyNH8Z6LNX4bbXA6OXnj6ViY++pxinVkdnQNw8yyJSp3+1GI+FxfeKVPu0dcRycmcjIrkQmwsibo0knQ61CoVLhoNng6OVPT2ppynlzFcmwl3d3e6detGt27dCAsLY8mSJSxYsICjR4+aXO/27dvZvn07gwcPpk2bNoz54h38ffNW58N3Cnuw9l5iZr2hs+VQojgu9euRuHNX+idSU4n9fQW68AhUjo44li6N3+jPcapQPsc1B3v75HgOIUQuKVzYomEFgQ+BM0BPK5TRHvgZWAF0emz7PKAAUDu7CZydIZMO3sJynkUrmhy2tVeeRSooXYIQQmQvJWefJ1954uvywDGg1WPbtBi72l59bNuiJ8a9BrQBxgHvARatb/Sshm1TU+H4cTh06L/HiRMZ/92VKAEhIf89atQAb+9cL1kIIYQQ1qUyGHK4tpsQQgghhBBCCCEsp9PBu+/CzJlKV0IKxo4mKx587eHhwebNm6lRo0bu16LX8c+tW8y/eIE99+/laK6qPr70KFGSVwsXxkWTN+47DgsLY8GCBcyZM4czZ86YPb5GjRr07t2bLl264OOTe4G3Y5ERfHBgP+diY8wbmFYKDG5WqSHyp49J2reBoLmHn3ou6pfPSfh3GSoXd1zqtMSlXmt0kfeIXf4DhuREAr79A41PYI6Of+WNMjiobd8x2WDQkxh3jaT4GzY/1kMqtQNunqVwdFY+yHTy5EkWLlzIokWLuHHD9D+DAkEBHNm/HK02b3wveFy/0HD2ROWNi9ZeDg6EtmmnWPdwIYSZFiyAHj2y3W0uxiWlDwBZvTusBPgDWx98ferBA4zBnWvAjw++rvDg8VAL4CDwLcYw0BKMAdyFQNfsCqxTB/bsyfZ1CPOEn97DoUl9lC7DYmpHFxqN34qDq6fSpQghRNaWLoUuXcweNhr4AriH8efvQ72A34G4J/ZvDNwHTmYx5zKgM/A36cO6JvvqK/j0U0tG2qfLl43n7X79Fe7ft2wOjQbat4eBA6FxY5DPSkIIIUSepFa6ACGEEEIIIYQQ4rllMMA779hF0BbAEeMFlfaAi4sLa9euVSRoC+Co1vBqocL83qgJ21q05LvqNehevCRVfXxxVGd+OkOrUlHRy5suxYoztmp1NjZrwdqmzehUrHieCdoCBAUF8dFHH3Hq1Cn27NlDv3798PQ0PSBw8OBB3n33XYKCgujcuTPr169Hp9PZsGJYf+sm7bduNj9oC2DIpVNUBmO3YMfSVfHu9zVOleri2uBVfIdNRx8bSfyGxTk+RJIu+47E1qBSqXH1KIanbxXUGtt3anZ0DsDLv7pdBG0BKlWqxLhx47hy5Qr//vsvvXv3xsPDI9tx3bu2yZNBW4DO+V2VLsFkIb5+ErQVIi8JCbHp9MuBjg8ehzCGgR5+vfyJfVcC3YFRQEtgH8bAbbZBW7D563he+Zarg2u+4kqXYbECtdtI0FYIkTc4586KL6Z42K3N4k/qdvRaLGYwwLp18MorULIkfPut5UFbMN5s//vv0LQpVKgAU6dC3JNRaCGEEELYu7x5ZlkIIYQQQgghhHgWjBgBv/yidBXpaDAGGo5/9hk1GzRQuhwASnl4UsrDkzcfXONP0eu4FBtHXFoqSTodBsBZo8FNq6WEuwfOWSxJn9eoVCrq1KlDnTp1mDRpEqtWrWLOnDn8+++/Jo1PTk5m2bJlLFu2jEKFCtGjRw969+5NqVKlrFrnymtX+eDgfnR2voCS2t0bAKcqL6Tb7lCsPGrvAFKvnMpglJnHIHcDhlpHD7z8q5GSdJ/khDDSUmOtOLsKR2d/nFyDcHC0z5CKRqOhadOmNG3alGnTpvHnn3+yYMGCDAPmWq2GHt1eVajSnGvk60x+Rw23U2wbnLeGzsVLKF2CEMIcZcticHNDFR+f5W69Hjyy82SnvNEPHqZwByY/eJhNwrY2oVKpKNy4C2eXjVW6FIsUatxZ6RKEEMI0hQopXcEjCwAHwOKfrHb0Wixy8yb07w9r19pm/jNn4L33YMIEY7fcZs1scxwhhBBCWJ10thVCCCGEEEIIIZTwxx/w3XdKV5EhJ6DmxIlw547SpWTIUa2hnJcXNfz8eSEwHw0C81HTz58KXt7PVND2Sa6urnTt2pVNmzZx+fJlRo8eTbFixUwef+PGDcaOHUvp0qVp2LAhc+bMIc4KXVTW3bzB+wdyGLRV5U43WG2RstnUkfOgrJMm97t5qlRqnFwC8fSrgqdfVZxc8oPK8tN+ao0TLu7F8A6shbt3WbsN2j7J1dWVzp07s3btWm7dusXkyZPTdedu0qgW+fPZR2deS2hUKtoE2r6LcU7ld3ahRVABpcsQImdiY2HPHli/HlavhlWr4J9/YMcOCA9XujqrioqKYtpPP3HEzm+YMYmEbW2mQN22qB3t/2fQk7xLVsOzcHmlyxBCCNNUrgwODrl6yO+A3sBCYCvGjvMvAX8D/wP8LZz3Rr581igv9xkMMG8eVKxou6Dt465dg+bNjatexVrzxlkhhBBC2IqEbYUQQgghhBBCiNwWEWHskGHPwsNh4EDjhQZhd4oVK8bnn3/OxYsX2bx5M927d8fFxfQAxI4dO+jTpw/58+end+/ebN++HYMFf9cHwu8zcP9e9OT030nuhG2dqzZE5eRC8tHt6banXA5FH3UPx1JVcza/RoVWnfth28dpHdxx8yqFT2AdPP2q4upZCieX/Gi07hkGcFUqLVpHL5zdCuLmVRYv/xp4+dfAxb0QanXuXui1psDAQN577z0OHDjA6dOn+d///kezF+uZNLZL948oXrYVN28+fcNBZGQMFaq0pdWrA9Dr9YwZ9zNdun9ExWrt8QtqwLvvjzHpGP3f/RK/oAZ06f6RWa8r2MPRrP2V0LV4CRzUctpZ5DGHD8OkSdCtG5QrB15eUK8etGwJ7dtDhw7QqhU0bAj+/lC8OJFqQh8AAQAASURBVLz+OnzzDWzfDvrc+TlmLQaDgT179tC7d28KFCjA4MGDWZCQoHRZOVOmDFSqpHQVzywHV08KvfC60mWYrWizXkqXIIQQpnNyyvWfZeWAC8BQoDnwNpCIccWjzy2cMxoo0rQp5cuXZ+jQoWzcuJHk5GSr1GtTERHQpg306gXR0bl77JkzjX/3u3bl7nGFEEIIYTaVwZIrKUIIIYQQQgghhLBct26waJHSVZhm6VLo1EnpKoQJYmJiWL58ObNnz2bPnj1mjy9ZsiS9evWiZ8+eFC5cONv9E9LSaL5pA1fic94dF10Q6ANzPg8Q+dPHJO3bQNDcwxk+H7dmNjGLxuPSsB0u9Vqjj7pP7G9TQKUi4JuVqN29LT52NV9n1rQoavH43GA8FWg8HajKQffbvCgm4iRpKVHZ7nfnbjgvNO5JleAy/L70+3TP9Rv4Bf+s38XWTbMpUbwQhUs0p0KFklSqWIrFS/+mQ7sXmT75f1nOv2HTbt7uPxq1Rk3d2sEsWTDe5NdwN0XHiwfss+s4GLvv7mvVmiAXV6VLESJ7CQmwbBn8+CMcPJizucqUgQEDoGdP8PGxTn02EBUVxcKFC5k1axYnTpxI95w3cBPIs/97J02CDz5QuopnWlpiHLu/eJWkiDClSzFJQJUXqTpwKiorrFwghBC5pm9f+OUXpavIkc3Ai09sc3V1pWnTprRq1YpWrVpRvHhxJUrL3K1b0KIFhIYqW4ezM6xYAS+/rGwdQgghhMjU83VGXQghhBBCCCGEUNoff+SdoC3Au+/CHfsNdon/eHp68vbbb7N7925Onz7NiBEjCAoKMnn8xYsX+eyzzyhatCgvvfQSS5cuJSkpKdP9x508YZ2gLYAq0TrzmMD9lT549f2K1MuhREwYSMzCb3EsVwP/0YtzFLQFqOzrbJ0ibUilUqFSqZ+7oK3BYECXFm/SvvkC/fhu3FC2bDvA3Pl/PNq+5u/trFi1idGjBlCieCEArl5Yz/o1M5j47XActNps546JiWPoRxP45KO38PbyMPt1BDpq8Hew37+71p7eErQV9u/+fRg+HAoVgj59ch60BTh3DoYMgYIF4e234fLlnM9pJQ+72Pbq1etRF9sng7YAURi72OVJLi7GoLOwKa2LOxV7fK10GSbRunpRoesoCdoKIfKeGjWUriDHDmWwLSEhgTVr1vDuu+9SokQJypUrx5AhQ9iwYUOW5x1yxc2b0KCB8kFbgKQkaNsWVq1SuhIhhBBCZEI62wohhBBCCCGEELnFYIDy5eHsWaUrMc+wYTBhgtJVCAukpaWxYcMG5syZwx9//EFqaqpZ4729venSpQu9e/emRo0ajwILe+/d47XtW6xXqMER0spbbz6FTKiZjy4lvZUuQ2RAp0sm+t4Bs8b0HTCa9Rt3s3PLPNzdXKnXqDsVK5RixbLvM9y/SMkWtHmlUZadbd8fNo6ToRfZsHYGIXU6U75ccbM62wK8eyqc7ZH2twxr2u3bRI/8lIljv2HgwIEScBL26fffYeBAuHfPtsdxc4NvvzV2u1UrE5CPjIx81MX25MmTJo2pTsYBGbvXpw/8+qvSVTw3Ti34nBs7litdRpYqvzWeoNptlC5DCCHMd/MmFC0KOp3SlVisHmDOWjuurq40adLkUdfbEiVK2Kq0p92/D40awalTuXdMUzg6wtq10KyZ0pUIIYQQ4gn22wZBCCGEEEIIIYR41mzenPeCtgCzZ0Ni7nUeFdaj1Wp5+eWX+e2337h16xaTJ0+matWqJo+Piorip59+olatWlSuXJmJEydyIyyMYYfMCy1mLwXIuxcTHwrOA51tn1f6tASzx4wfOxR3d1cGDxnHh598T0pqKlMmfWxxDVu3H2TZb+uZPHEEGo3G4nlKuGbfQVcJUT/OIDkmlkGDBtGhQwciIiKULkmI/9y7B506QceOtg/aAsTHw6BB8OKLcOmS7Y/3gMFgYPfu3Y+62L733nsmB20BXF94gdvlytmwQhtQq+H995Wu4rlS5vUPcQ0sonQZmcpX/SXy13pF6TKEEMIyBQtCu3ZKV2GxI5gXtAVj19u1a9cyaNAgSpYsSdmyZfnggw/4559/SLTluSi9Hl5/3f6CtgApKcZ/BxcvKl2JEEIIIZ4gYVshhBBCCCGEECK3/Pij0hVYJjISli1TugqRQ/7+/rz33nscOXKEI0eO8N577+Hn52fy+NDQUIYPH065zp24Eh9n3eJUgCreunPmMm9HNWW8nJQuQ2TCYNCbPcbHx5MpEz9m567DrP5zM+O+/oCCBQItOn5cfAJDho/n3Xc6U6liKYvmeMhZbX8dY+P+XkfKqdOPvl69ejVVqlRhx44dClYlxAPbt0PFirBcgU6cW7dC5cqwdKlNDxMZGcnUqVMJDg6mfv36zJs3z+QlmX18fHj//fc5efIkO3bsIP/q1eCch24e+fBDCA5WuornitbFneof/IqTV4DSpTzFp0xNKvUZJ93VhRB528CBSldgsZITJjBv3jw6d+6Mr6+vRXOcO3eOyZMn06pVK/z8/Hj55ZeZOnUqFy5csG6x06bBtm3WndOa4uON3fv15n+WFUIIIYTtqAwGg0HpIoQQQoi8JiUpjYjbsUTcjiU8LI64qER0aXp0aXrUGhUajRpnN0d887vjm98DvwIeuHo4yYleIYQQ4nl24wYUK5Z3lwKsWRP271e6CmFlycnJrFmzhjlz5rBu3Tr0JlzE8ftqNE7ly1u/GL0n6Ipbf95c8k45Hz6ralkQU9hecuI94qMt6yz+0ivvEBkZzf5dS7Lcr0jJFrR5pRHTJ//vqec+GjmJrdv2s/3fuTg7G0PZVWt2pHy54ixZMN6sen65Ecvkq7FmjbGllPMXCB/9JYbk5KeeU6vVjBo1ik8//TRH3XzNoTPoSdLpSNLp0BkMOGs0OGs0OKpz5/jCzqxda+xYZmLw1GZUKuNNV++8Y7UpH3axnTVrFsuXLzc5XPvQCy+8QP/+/XnttddwcXFJ/+TEiTB8uNVqtZkKFeDQobwVDn6GxN06z8Hv+5ASc1/pUgDwKlGFkPd/QevirnQpQgiRMwaD8WfcmTNKV2IeLy+4eRPc3ADQ6XTs37+fdevWsW7dOg4ePJjjQ5QqVYpWrVrRqlUrGjdu/PR7GFNduGC8WScvrOI0ZQoMHqx0FUIIIYR4wD7XHBNCCCHsUEJsMheOhHHl1B1iwk37AH7r4n/LZjq5OlCwlB9lQgrgX8DTVmUKIYQQwl7NnZt3g7YABw7AsWNQpYrSlQgrcnJy4rXXXuO1117j1q1bLFiwgDlz5nD2bMahRG3RIrYJ2gKoYoAUwNE289tY95LeSpcgspCTGx+dHB1wcHCwePyhI6eYPXcV8379muTkFJKTUwDQ6/WkpemIjo7F2dkJJyfT/u3r7ah1QhkPDypHxzA1g6AtGF/j6NGj2bx5M4sWLaJQoUJWPX6qXs+Z6GiOR0VwPDKSE1GRnI6OJiWDGweKurlR2duHYB8fKnv7UsXHBy/HvPn9RphozRpo3x7S0pSuxBiaGTDA+F7w3XdzNFVkZCQLFixg1qxZhIaGmjXWx8eHnj170rdvXypUqJD5jh98ACtWwB5zF4LORWo1zJkjQVsFuRcoTc0PF3Doh7dICr+laC2+5etSdcBUtM5uitYhhBBWoVLB0KHQr5/SlZinf/9HQVsAjUZD3bp1qVu3Ll9++SV3795l/fr1rFu3jvXr1xMREZHFZBm7cOECU6dOZerUqTg7O9O4ceNH4dvSpUubNoleb+wYmxeCtgAffwwvvwwlSypdiRBCCCGQzrZCCCFElgwGA3euRnHu0C2un72HtX5q+gV5UCakAEUrBKJ1kO46QgghxHPhpZdgw4Ysd5kL9H7w+y1A4yeeNwClgYtAI2ArEAZMB/4FzmOMKpYG+gNvAU++04gDPgWWAxFAOeBjoLMpr2HqVBg0yJQ9RR5mMBjYu3cvc+bMYenSpcTG/tdB06vf27i1aG67g+sCQR9ku/ltpEmQGwsbWTdEKKwrJSmCuKhTFo19tcNgwiOi2bV1fpb7ZdbZdvGyvxn8wTdZjh3zxWDe6feGSfXMuB7H9GsxJu1rS+U9vVjcoCGBzi78888/9OjRg3v37mW6v6+vL3PmzOHVV1/N8bFvxMez4PJFlly5THgmQd/saFQqWhYoSM8SpagXECAr0Txrtm2Dli2V72ibkfnzoXt3s4Y87GI7c+ZMfvvtN7O72DZo0IB+/fpl3MU2M2fPQo0aEBdn1rFyzaefwldfKV2FAJKj7nJy3qeEh+7I/YOrVBRt1pPS7YagdpAbKIQQzxC9Hho3hh0KfG+1RIkScPx4urBtVnQ6HQcOHEjX9TansZWSJUum63rr6uqa8Y5z50Lv3hk/Z69eftm4YoMQQgghFCdhWyGEECITUffi2bvmDPdv2W55Tmc3B2q+VJqi5WW5WSGEEOKZZjBAQACEh2e521yMYVsPoC2w4InntwJNHjxf/cHXa4CBQA+gHuAArAMmAz2B2U/M0QI4AIwDygCLgV+ARcCb2b2OXr2MHcTEcyMhIYGVK1cyZ84cNm/ZQv45v6B2t+HSvAYtpJUH1LY7hg3MaVCQFgVlyWJ7lpoSQ2zEcYvG5jRse+duOOcvXHtq/77vjKZIkSA+G9mf4sUKUrCAaZ8L76nz0WFvKFGpKaa/CCsL8fVjfv0GeD/WGfb27dt0796dTZs2ZTl20KBBfPfddzib2Y3SYDCw7c4d5l66wKawW1jzpHZpD096lChJp2LFcNNa3sVY2Ik7d6BixWzfdynGwQEOHYLKlbPdNTIykvnz5zNr1ixOnTLvhoGHXWz79etHeUu70m/dagwtWxhqt5mePWH2bGN3W2EXDAYDt3av4uyyb0hLyp2AtmtgUSr2GotPqeq5cjwhhMh1Fy5AcHDe6MC6dSs0amTx8Hv37qXrehuew/dxzs7ONGrUKF3XW5VKZTw/V706HD2ao/kVcf48lCqldBVCCCHEc0/CtkIIIcQT9Ho9p/fe4Nj2y+h1ufNjski5AGq1LI2zm3RgEEIIIZ5JV69CsWLZ7jYXY9j2bYzh19uA52PPd8fY1TYG8McYto0E3DGGbB83CGPH22tA4Qfb/gZaYwzYdnls3xZA6IN9s+y5X7mysVOJeC5tO32aN0+dsHh8wpatRE3/CRwcCJwyCW1AQLrn74/6An1sDIETFoE+X7rnDClJ3B3RFt3tq3h2/RD3V96yuA5rqxPgwm9NC6OWrph2zaBPI/LuXovGZhW23bX7COERUQAMGPw1NapX5K3e7QGoV6cq/v4+mc5btWZHypcrzpIF482qx8M3mHtpWkYcOcTm22Fmjc0prUrF++UqMLhceRwyCLnp9Xq+++47Pv30U9LS0jKdp0qVKixdupRy5cqZdNzbiYmMOHyQTTZ+vQVdXZlQvSYN8+XLfmdhnwwGeP11WLlS6UqyVr067N1rDN4+wWAwsGvXLmbNmmVRF9uGDRs+6mJrbqg9Q2vXQocOkKJcwD+djh1h8WLQapWuRGQgKfI2pxaM4v5JG3ZiVKko+mIPSrV9H42TiZ2ahRAir5oyBd5/X+kqsjZ4sLFOK9HpdBw8eJB169bxzz//sH///hx3vS1RogStWrWiS/Hi1B8+3EqV5rJhw2DCBKWrEEIIIZ57ctuvEEII8Zjo+/Gsn3eEI1su5VrQFuDamXv8NesAV0/fzbVjCiGEECIXHTxo1u4Pg7BLHtsWDawA+jyxrw9PB20Baj349cZj21ZhDOZ2fGLf3sAtYF92hYWGQkJCdnuJZ1Sku2nLQWYrNZXYJcsyf159B0jfuSdm+WQMyfbXzcdFo2JirfwStM0DVGotao31AznfTphN776j6N13FElJKezcfeTR12fOXbH68QC0WjcKuLoyv94LfB9SE88Mwnq2UNHLm7+bNmdohYoZBm0B1Go1I0aMYMeOHRTL4iaTY8eOERISwuzZs7O8cG4wGPj96hWabvzH5kFbgJsJCXTZuY0Rhw8Sl5pq8+MJG1i+3P6DtgCHD8P49EH7iIgIJk+eTKVKlWjQoAELFiwwOWjr6+vLkCFDOHXqFNu2baNr167WCdoCtG4Nf/9t8rLQNtWnjwRt7ZyzT36qDZ5JrRGLCardBpUVu4U7uHlRrEUfXvjqH8q+8bEEbYUQz4dBg6BpU6WryFyZMvDNN1adUqPRULt2bUaPHs3evXu5e/cuixYtolu3bvj7+1s056VLl5g+fToX82rQFoxd/eWcnBBCCKE46WwrhBBCPHD3ehRblp0gNVmnaB1VGxenYr0ixiVthBBCCPFs+OILGD06293mYgy+HgCmAGf5LwA7AxgOhAF1+a+zbWZ68V93XL8H2+oCOmD/E/uGApWAmUC/7Io8dMjYjU08d748fpSZ589ZPP5hZ1unqlVJPn6MgPHjcHgsjPeos+2kiWBwgbTSgIqUC8e5/0VXfAZ9R+QPH9hVZ9uvqgfSp0zmnUuFfYmLOktK0j2ly8gRjdYVL//034PDEhP46vgx1ty8gc4Gp3p9HB3pW7oMA8uUyzRkm5Ho6Gj69+/PsmVZhOuBzp07M2PGDLy8vNJtj0xJZsjBA2wMu2VR3TlVyNWVaTXrUNPCC/pCAXfuQMWKkMNlh3ONgwOGgwfZFRPDzJkz+e2330hOTjZrioYNG9K/f386dOhgvXBtZo4cge7djTdf5TYnJ/jqKxg+HOR8WZ6SHBPOrV0rublrBQl3r5o/gUqNV/FgCjfqRL4ardA4OFm/SCGEsHdRUdCkCRw9qnQl6RUsCLt2QdGiuXZIvV7PoUOHWLduHevWrWPfvn0md731BW4CNn7HZFuzZ0Pv3kpXIYQQQjzX5PZfIYQQAgi7FMHW306iS9MrXQpHt14mNTmNqk1KSOBWCCGEeFbExpo9pA/QBGMQtiIwG2NHWg8Txm4AFgDv81/QFiAcKJHB/r6PPZ8tC16LeDYcj4q0yjzu7dqQeukSMQsX4/fpyIx3UiWC+i6GFB+iZv4PtxZv4lCiklWOby11A1zoVdpb6TKEGTQO7pDnw7buT20LcnHlx9p1GZWYyOLLl1h0+RK3k3LeCbq6rx89S5TklUKFcdZozB7v5eXFkiVLaN68OYMHDyYxMeOali5dyr59+1i6dCm1ahn7st9NSuTNHds5HROdo9eQEzcSEui8Yxsz69SlWVABxeoQZvj667wTtAVITWVnvXo0jI83a5ivry+9evWib9++lCtXzkbFZaBaNeNNV19+Cd9+C7pculm9Vi2YOxfKl8+d4wmrcvL0o3irvhRv1ZeU2Eimj/mYff/8Tml/Z4r4OOGsVeOkVeEfEIjWyQUHV088CpXFs2hFPItWxL1QWbROrkq/DCGEUJa3N6xfbwzcnjqldDVG+fPDxo25GrQF40oaNWvWpGbNmowaNYrw8HA2bNjAunXr+Oeff7h3L/PPe83I40FbMK42IGFbIYQQQlESthVCCPHcu3s9ym6Ctg+F7rmOxkFDcINiSpcihBBCCGswcQngxzUCSmIM2fbC2O12ognjDgNvAHWAjBbyy+pWHpNu88kkLCWefdfNDANlRuXsgvtrHYiZM5fkEydxqpxJiFZ9h9iVczEkJ+DR8X30sRFWOb41FHLVMqVuEGq5OS5PcXD0Iq9/B3Nw8sr0ufwuLgytUJHB5cqzIewW/4bd4nhUJOdiYkzqeOuu1VLZ24cqPr60K1yEyj4579qsUql46623qFevHp07d+b48eMZ7nf58mXq16/PmDFj6Pbuu3TcsY0r8XE5Pn5OJel1vLVnFzNq16VVwUJKlyOyEhsL8+YpXYXZGsTHUxK4aMK+jRo1ol+/frnTxTYzTk4wZgy0b28Mepw8adtjffklDB0KWrmU9Sxw9PDhVLieZcfSv6dzcHAgKeksajO6pwshxHMnMBC2bYNWreDgQWVrKVbMGLQtVUrZOgA/Pz+6dOlCly5d0Ov1HD58OF3XW73+v+t+IQrWCXAKqAakYDzHV8OSSQ4dsmZJ9kmvh4sXja/1xAmIiTGeVzUYwNkZPDygUiUICYEyZUDePwghhMhlcoZCCCHEcy0mPIEty07YVdD2oePbr+Dq4USpqkFKlyKEEEIIBaiA3sAUIAkoAzTIZswRoDlQGvgbeHKRVT8y7l778HK3bwbPCfFQkhU72Lm1aE783+uIWbgI/3FjM1zRIfXKZeL+nI/vRz+gdna1m7BtgLOGpU0KU8DVQelShJm0Du5oHDzQpebNDt0qlRZHZ/9s93NQq2ldsBCtH4RDE3VpnI6O5nhkJBHJySTpdKQa9DipNThrNBR1c6Oyjw8l3D1sFiAvX748+/btY/jw4UyfPj3DfdLS0vj4q6+Y4eNJsq/9/ERKMxgYuH8v8+q9QMN8+ZUuR2Rm0aI8233/HeDDTJ7z8/OjZ8+eud/FNjs1asCRI/DXX/Djj7Bpk/XmLlgQ+veHt9+GIDkn9qy5efPmU9uCgoIkaCuEEKbw94fNm2HwYOVuMnrpJZgzxy5/RqvVamrUqEGNGjX47LPPCA8PZ+PGjY+63obcvatYbTqMK1j5A7dyMtHlyxARAXb0eckqrl2D2bNh+3ZjyDYmxrRxHh7G1RdeeAH69IGSJW1bpxBCCAHIp1chhBDPLb3ewO6/zpCanEvL3lng4IbzxEXl9d5LQgghhMDC7mO9gPvADIzB26wcwbgkXlFgA5BR78PKwGkg7YntJx78mkl/0fRcXEzZSzyDUvTWu0FN5aDFo0snUi9eImn3nqeeN+h0RP34Ey716+FcPT+olO9wCVDAVcvvTYtQ3MNR6VKEhZxd7e+isKmcXPKhUmnMHuei0VLd149eJUsxtEJFRlYO5vPgqnxcqTIflK9A+yJFKeXhafNOzc7OzkybNo1Vq1bhk1HXXJUK32FD7Cpo+1CKXs9be3ZzOS5vhjmfeQaDMfCZR/Xm6SWNGzduzOLFi7lx4wYTJ060r6DtQ1qtscPtxo1w5gx88IExBGQJjQaaNYOVK+HKFfjsM7sM8Yicu3Xr6YhRwYIFFahECCHyKA8PmDsX1qyBAgVy77ienvDLL7BuXZ75Ge3n50fnzp2ZN28eYbdu0cjdXbFaJgE3gBHWmOxZ6W6r18P69dC2LRQvDl98AVu2mB60BePNdtu3w9ixxk7LrVoZbwaz4s3iQgghxJMkbCuEEOK5debADe7fNONDmwLSUvXsWXMWgwlLfgohhBDCjnl4WDSsIMZOZ22AnlnsdxRj0LYQsBHIbOHv9kAcsOKJ7fOAAkBtU4qy8LWIvE+rsu5pJJf69XAoUZyYJUsxpKWPgMev+Zu0O3fx6Pg6+oRY9EknMCSGAWBISUEfH4NBn7sXT8p4OrL6xSKU8pSgbV7m6OyPSpU3F/tycn02uqq2a9eOY8eO0aBB+n7tri+1wKmySbd9KCJBl8awQwfQy+dz+7N3r3GJ2TzKD3gdYyBk2LBhnDlzhi1bttClSxecLbxhK9eVLQuTJsHdu3DpEvz2G3z8sTFAW6wY5MsHXl7GMG6hQlC1qrH72I8/wr59EBdnDO22b28M8YpnVkadbQvkZlhMCCGeFa1bw8mT0DOrs0VW8tJLxmO99RbY+AY9W1FfvYo2zvybeEdjXHnqONAR443tvsBQjDeynwVaAh5AMWB8BnOcB0YBPwKeZleQgcOHrTGLslatMr5/bNkS/vzTGLy1hn/+gVdfNXa4XbzYeFOeEEIIYWVy1kIIIcRzKTo8gWNbLytdhknuXI3i/OFblAmRLg9CCCFEnlXJ8vDQuGyeP4sxaAswBuNJ/POPPV8SCHjw+1ZAc2AAEAOUApYA/wALgWz7JarVYI+d1USucNJYN2yrUqnw7PYm4V+OIWHjv+meS71+HUNCAncHv//UuNjfJhP722QCvlmFQ7HyVq0pI2oVvFPWl2GV/XC28p+ByH0qlRon1/wkxd9QuhSzODj6oNE+O53FCxcuzObNmxkzZgxffvklqoAAPLu9qXRZ2dp3/z6zL5zn7dJllC5FPG7zZqUryLEvGjbklw0bcHJyUrqUnFGpjJ3JiheH119XuhphZ5KTk7l///5T26WzrRBCWMjHx9jl9oMP4KefYOFCSEiwztxaLbz2GgwYAA0b5tmQ7SN37uRo+BtAN6A/xpvcxwOpwCZgIDAcWIyxc20poMODcQbgbeAV4FVgbo6qeODuXWvMooz792HwYFi61LbHuXoVunaF5cthxgzI/2zcuCqEEMI+SNhWCCHEc8dgMLBv7Vl0adZbBtfWDv97kUKl/XH1zOMXXYQQQojnVY0aNpt6DxD+4PdtMnh+DtDrsa9XAv/D2FUjAiiHMXDb2ZSDVawIrq6WliryuEBnZ8ISE606p1NwME7BwcT+vgKNn9+j7e7t2+LauFG6ffVRUUT+MAXX5i/hUqcdmvxFrFpLRkp5OvJ9rfyE+D87IUcBzm6FSE68i0GfonQpJlLh6llc6SKsTqvV8vnnn9OocWO67tkFeaSD5zehJ3gxKIji7tLp3W6YsJTuXKD3g99vARo/8bwBKA1cBBoBWx9snw/8DRzBeDNTEeBKBvPHAl9hXG3gCHAf+BxjNzRTlIiMhLwetBUiG2FhYRlul862QgiRQ1WrwsyZMH48zJ8Ps2YZO9FaomhRePtt4+NZCijm8FxGP4zdbMF4w/sGYBrGc2ztH2xvDKwBFvFf2HY6cAJYnqOjP8HK52VyzapV8M47uRsW/uMP2LEDpk6FLl3yfmhcCCGEXZCwrRBCiOdO+K1Y7l6PVroMs6Sl6jl3+CZVG5dQuhQhhBBCWKJIEfDzg/DwLHfrRfpgbGYev2Ri6piH3IHJDx5mCwmxZJR4RlTy9uFYZKTV5/Xs9ib3RnyCPjoabeFCADgULAhPdDlLe3BBRps/AKdgXzDcB50asH4QNtBZQ49S3gwo7yvdbJ9BarUWN69SxEWeUroUk7i4F0GjfXZvdLhXrCjcz1mnqdyUpNMx6ugRFrzQUOlSxEMmhG0f8gB+5emw7TaMQdsnI9QLgNtALUCPsYNZRsKBWUAVoB3wi8kVPXDqlDE44SI3d4hn161btzLcLp1thRDCSry8jF1DBw82dhA9fNj4PunQITh2DGJijO83DAbjew43N+NKTCEh/z2e1RsgUjN7F2eaV574ujxwDOMKUg9pMXa1vfrg66vAJ8APQL4cHf0JOXwtuc5ggBEj4LvvlDl+RISxy+2OHTBtGmiyXddLCCGEyJKEbYUQQjx3zh26qXQJFrlwNIzKDYqhkYv9QgghRN6jUhkvWmzYoHQlOSNh2+dasLcPi2wwr0OJ4rjUr0fizl2mD1IBqijjw+AGej8weAE5e69cN9CFnqV8aFnIHQe1dDx5ljk6+eLoEkhKon0vwRmfoMcnXyGly7AZg8HArxfOK12G2Tbfuc2l2FhKeEh3W8Xdvw/Xrpm8eyeM3camA56Pbf8VqAvEPLH/ev77yfIK6W94elxRIBLjj6f7WBC21emMIZg6dcwdKUSecfNmxudkpbOtEELYgL8/tGhhfIgcr6Lh+8TXjoAr8OSsjvz3fvJdoBLwGhD1YFvCg1/jgGjAy5Ji8siKIIDxPe6AAfDzz0pXAjNmQFSUsfuzg4PS1QghhMjDJGwrhBDiuZKUkMKVU/Z9MTUzSfGpXD9zj2IVrXoPrBBCCCFyS4MGeT9s26CB0hUIBQX7+ORovGuTxrg2aZzhcz4fvIfPB+9lOV4bGEiB35el36gCVPGgjgeDFvReYHABw8PLXlkHZou6OVDZ15lgXyeaFXCnrJcs4f08cfUoQWpyFAZ9itKlZCg5OYWXX32Hz0Z9zRtvvKF0OTZxNDKCE1HW75idGxZcvsjnwVWVLkMcO2bW7l0whm2XAP0fbIsGVgBTMHYee5ypt3BY5fYMCduKZ0xaUjyx18+QcPcqutQkko5vom1FH1LS9EQn67h4P5k7canS2VYIIYTtueb+SiEnMXa3zehMShOMQdsoSybOKyshGAzw7rv2EbR9aOlSUKthwQLjr0IIIYQFJGwrhBDiuXLx2G30OoPSZVjs3KFbErYVQggh8qpevWD0aGNXh7yoZk2oUkXpKoSCynp64aBSk2rQK11KxlRpoAn/72uDyhi8xRFQgUGNRgUTaoQQ5GIM2Xo7yvKBzzO1WouHTwViIk6Awb6+N+v1egYM/pqToefp3Lkz9+/fZ+DAgUqXZXXzLl1UugSLLb9yhY8qVMJFK6fYFRUVZdbunsDrwGz+C9suwRiq7cTTYdtcZeZrEcLeJMfc587Bf4i+fJyYa6eIv33JGLR5IB8wsF7685rRSWlE/fUN50OD8av4Aj5laqJSyeoCQgghrKxEiVw/5FIg6Ylt/wDfAjOAihbO++WiRdyIiqJevXrUrVuXMmXK2OfPzs8+g5kzla7iaYsXg58fTJmidCVCCCHyKDkTKIQQ4rlyNY92tX3o7vVoEmKTcfWQjltCCCFEnlOoELRtCytXKl2JZZ7BkJcwj5NGQ8N8+fj3dpjSpZhGZQBVAv8t1Aj1/fx5o7i3YiUJ+6N1cMfDpwKxEaGA/QTJh340gT/+2gKAwWDg3Xff5d69e4waNco+L6RaICI5mT+vX1O6DItFpabw543rdCpWXOlSnm9JT0YYstcHYzexUIwhh9lAR8DDqoVZwILXIoTSDAYDURcOc33bEu4c2oBBl2rWeC9nLdHn9hF9bh+X//kZt6CSFG7chQJ12qJ1cbdR1UIIIZ47fn5QtChcvZprh8xovYIrD34NAWpYOO+ft25x6Oef+flBx1g/Pz/q1KlD3bp1qVevHjVr1sTdXeGfoVu2wJgxytaQlalToXlzaNNG6UqEEELkQRK2FUII8dzQpemJuhtv0r7dP22S7T7tm/Skw4u92HlkPUfP7eNq2AXuhN/AzyuQScOXZjt+68G1/Lp6Ak6Ozvwyap1JdQGEh8VK2FYIIYTIq959N2+GbX19oVMnpasQdqBniVJ5J2ybgXUj/8ewuvUYOnSoLFksHnFw9MLDtyJxkacwKNzhVq/X896QcSxZ/vRnxNGjR3Pv3j2mTJmC2spLXhoMBsAABj2oVIDa5qHeXffukqy3n4CzJTaF3ZKwrdIs+DfUCCiJMWTbCzgATLRqURbKq6sfiOeSwWDgzqF/uLR2BnE3z1lt3viwi5xZ8jXnV35PgbrtKPnqIBzdM1qAWwghhDBTSEiuhm1tIQU48cS28PBw1q5dy9q1awFQq9VUqVKFunXrPgrgFi9ePPdu2oyLgz59cudYOdGvH4SGGs95CiGEEGaQsK0QQojnRtTdOPR6Q/Y7Ap/3n57hdp1Ox8wV3xAZc58qZWsDsPPoRqLjIihZsBwGgx6dLi3b+SNi7rHkn5/w8fAnITnO9BcBRITFUriMv1ljhBBCCGEnmjSBcuXgzBmlKzFP797g4qJ0FcIONM6fjyKublxLMO0mNnuSducO0Xv38f2evUybNo2ePXvy0UcfUapUKaVLE3bAGLitTFzkafT6ZEVqUKk0uPuUpUDhCkDGN2ROnz6d+/fvM3/+fBwdHS06jkGfRlpaPLrUONIePPS6JCD952WVSovGwQ2tgwdaB3c0WnfUGierXaQ9Hhlh8diELVuJmv4TODgQOGUS2oCAdM/fH/UF+tgYAicZI5SG1FTi/15HwtZt6O7eQ+XsjEPx4ni83gHHcmUtfw1RkRaPFVbi7Gz2EBXQG5iCcWnfMkAD61ZlGXmvJfKI5Jj7nF44mrtH/7XZMXTJCVzfupg7hzdQoevnBFZrZrNjCSGEeE6EhJh9A/zoB48nzX3weNLWbObr9eBhqZMYA7dZ0ev1HDlyhCNHjvDjjz8CEBgYSL169R6Fb0NCQnCx1XvPESPgyhXbzG1Nt2/D++/DggVKVyKEECKPkbCtEEKI50b4bdNDraUKV8hw+/w1U7gXGUbvtkMpWag8AB/1HP+oq9DEBZ9w487lbOef88ckyhargpuLBwdCt5lcF0DE7Viz9hdCCCGEHVGp4NtvoW1bpSsxnZ8ffPSR0lUIBRgMBm4lpHEhJoX4ND3JOgNqFdTyLcm1uIugSgJV3unCF79+IxiMYcKUlBR+/vlnfv31Vzp16sTHH39McHCwwhUKpWkd3PHyr0ZC7BWSE2/n6rEdHH1w8yqFWuPEhAkTyJcvHx9l8r132bJlREREsHLlSpOXBzUYDKSlRJOUEEZqcgRPBmszHpNGWko0aSnRj7apNc44uwbh6JIPtTpnp5aPR1ohqJqaSuySZfi8NyjL3aJ+mknizp24t2+HU6VK6OPiiFv1B/c//wL/r7/EsbRlofsbCQlEJCfj6ySrzyjGwiVyewGjgBmA3Sxw6+amdAVCZMlgMHD7wN+cWfIVqfHR2Q+wgpSY+xz9aTD5a71Cuc4jpcutEEIIy9WsqXQFOXbAwnF3795l9erVrF69GgCtVku1atXSBXALFy6c8wK3bYMHAd88YeFCeOMNaNNG6UqEEELkIRK2FUII8dyICMtZSHXnkQ1s3LuKRiEv07Tmfx+8zF2+c9fRjZy5coxv35vLb5t+NbuO8By+DiGEEEIo7NVXoWtXWLRI6UpMM306BAYqXYXIBWl6A9tux3PwfiInIpM5HpFEeHJGYVoV8DCYlgyqxAeP2Ae/5mLRJtInJpG4ZevT2/V6lixZwpIlS3jllVcYOXIkdevWzf0Chd1QqbW4eZXC0dmf+OjzNu9yq1JpcPUogaNLYLqOsR9++CH+/v68/fbb6PX6p8Zt3LiRF198kbVr1+Lvn/nKJwZ9GsmJd0lKCEOvS8xxvXpdEgmxl0mIvYqjSwDOrkFoHcwPOxoMBk5GReW4HqeqVY0h2ldfwaFYsYyPlZpK4s5duLzwAp5dOj/a7liuLHf6vkPijp0Wh20BTkRF0ihffovHixwqX96iYQWBD4EzQE9r1pMTFTK+8VsIe6BPSyV0/qeE7f1TkePf3r+GiDN7qT54Bp5FKypSgxBCiDyucWMICoKwMKUrsdjdF1+k2MWLXMlh59i0tDQOHDjAgQMHmDx5MgAFCxZ8FLytW7cu1apVw8ncmwq/+CJHdSniyy8lbCuEEMIs5qWDhBBCiDwsPjrJ4rFXbp1nzp/fU6JgOXq2ed/ieaLjIln49zQ6teiLr1dA9gMykBSfii7t6YutQgghhMhDpkyBfPmUriJ7r71m7PAgnml3EtOYdPI+tf+6RI/tN5lyKoItYfGZBG2f5AQGb9AHga4MpJUBvS8Y7OuUU8zCRehjs75pbc2aNdSrV48mTZqwceNGDIbsO3+KZ5eDkzde/tVwcS+CWu1o9flVKg1OrkF4+VfHyTVfuqDtQ71792blypWZXuDcv38/DRo04Nq1axk+n5IcQdT9wyTEXrJK0DY9PSmJd4gJP0p89AUM+jSzRl9PiCcqNbsFULPn3q4NancPYhYuznwnlQrUKlSuruk3u7gYtzs45KgGq3ToFZYrWhR8fS0aOg5YDQRlsc8p4PcHj9tAwmNfn3pi33UPtv+VwdgEUwqqXt20woXIZbqUJI7+NFixoO1DKTH3OTCxJxHnLO3rJ4QQ4rnm4AD9+ildheUqVOCzjRu5fPkyYWFhrFy5kuHDh1O/fn3zQ7EZuHnzJr///jtDhw6lbt26eHl5Ub9+fYYPH87KlSsJyy6kfPo0bNmS4zpy3cGDcEDeWwghhDCddLYVQgjx3EizMKAaGx/N5MWf4eTowntdvsBBa/mF1nl//UCQf2FerJWzpaN1aXo0WvsKMAghhBDCDL6+MHMmtGundCWZ8/MzdrXNIAAmng2no5L5ITScf27Ekma1XKkL6AoDBUAdAeo7oDIltGs79QIC+d+34xnv68eyZcsy7BL6uK1bt7J161Zq1KjByJEjadu2rdmrWYhng0qtxcW9CM5uhUlNjiApIYy0lKgczanRuuHkGoSTcwAqtSbb/du2bcv69et59dVXiYmJeer5M2fOUL9+fTZs2ED5Bx0+9fo0EmIvkZJ4N0e1mio58TapyZG4eZXGwcnbpDH3k63TMVjl7IL7ax2ImTOX5BMncapc6el9tFrcXmpBwr9bcAqujFOliujj4ohdvBSVqyuuzV7MUQ3hVnotFtPp4MwZOHQIjh+HqChITASDAZydwc3N2DE1JASCg43bniUqFYaQEFQbN9pk+uXAk/25Oj749XNg9GPbBwBXH/v6twcPgMtAsawOVLy4xaFhIWxJn5bC0Z8GEx66U+lSANAlxXN4cj9ChvyKTykJqAshhDBT377w9dfG99B5zcCBj87R5c+fn/bt29O+fXsAkpOTOXr0KLt372bPnj3s3r2bmzdv5uhwycnJ7N69m927dzNx4kQAihUrlq77bXBwMA4Pb1786accHU9RP/4Ic+YoXYUQQog8QsK2Qgghnht6C8K2er2O6cu+JCLmHiN6TcDP2/IllA+EbuPImT18/e6sDLsWmUM62wohhBDPgLZt4cMP4bvvlK7kaY6OsHRp3ui+K8yWqjcw7VQ4k0+Fk2qzt5Ua0AeA3hs0N0EdbasDZclVo2ViSA2KuLmzePFivvzyS8aPH8/cuXNJTU3NcuzBgwfp0KED5cuX5+OPP6ZLly7/XUQSzxWVSoWjsx+Ozn7o0hJJS4kmLS2etNQ4dKnxQOb/kTRaVzQO7mi17mgdPdFo3cz+PNioUSO2bdtGy5YtuXPnzlPP37hxgxdeeIG///6b6lXLEhd9DoM+511jzaHXJxMbeRInl/y4epZApco6oJ5kxYvbbi2aE//3OmIWLsJ/3NgM/3w9e/VE5epK5ISJoDfeXaDx98f/81Fog/Ln6PjWfC0mu3oVfvnF2DnqyBFIMKlvKmi1ULEi1KsHffpAjRq2rdPGLly4wIIFC8h/4AADstm314NHdk4+8fVo0gdqs3LFxP0yFBKSk9FC2IRBr+fEryPsJmj7kD41iSNT36Hm8Pl4FC6ndDlCCCHykoIFjefjVq5UuhLzuLlB9+6ZPu3k5ETt2rWpXbs2Q4YMAeD69euPgrd79uzhyJEj2Z4Hyc6VK1e4cuUKS5YsAcDFxYVatWrRKCSET3/9lTx7xmTpUpgwwdh4QAghhMiGtOUQQgjx3FBrzA+4Ll0/k9BLh+nUoj8VSlSz+NhJyYnM+2syzeu0x9vDn/jEOOIT49DpjB9s4xPjSEoxfVlPS16LEEIIIezQt98au2rYE7UaliyBZs2UrkTYwKmoJNpsvMqEk7YM2j7OAXTFIK0oGLLv4mltnwUHU8TN/dHXpUqVYtasWVy+fJmhQ4fi+sSy8hk5ffo0PXv2pHTp0kyfPp3ERNPft4tnj0brgpNrftw8S+LlVwWffHXw8q+Oh28wHj6VjA/fYDz9quKTry5e/tVx9yqDs1sBtA7uFt94WbVqVXbt2kWJEiUyfD4iIoJJE0cTHX4i14O2j0tOvE1s5CkM+qwDqGnZdJg2h8pBi0eXTqRevETS7j0Z7hO3YiXxf67Bo2NH/EaPwnfEh2gLFCD8q69JvXQ5R8dPM+TSzbB6PfzzD7z6KpQoYezItWuX6UFbgLQ0OHbM2HWqZk2oXRvmzTN2ws0jIiIimDFjBvXq1aN06dJ8+eWX/B0VpXRZOVevntIVCPGUa5sXcOfQP0qXkaG0xFiOzfwAXUqS0qUIIYTIaz76KO+t4vTuu+DpadaQwoUL88Ybb/DDDz+wb98+oqOj2bFjB+PHj6ddu3bks8IN9omJiWzbto2L33+PgzmfS+xNUpIxcCuEEEKYQGUwGKy2UKAQQghhzzYtOsrtK1Em77/n2L/8+NvX1K7chEGdRpk0ZuKCT7hx5zKThqf/UHYv8jZDJ3bJcmz18vUZ0vVrk47TZUQDNNrcDyuIvCUuNZET9y9y7N55ToRfJDwxmiRdCml6Hc4aR5y1jhT3LECVgFJU8S9NSe+CqLPpQCWEEMIGdDoYNAhmzFC6EnBwMAZtX3tN6UqEDcw7H8nnR+7mUsg2I6mguQrq+Fw5Wv/SZfiscpUsw43h4eFMmTKFqVOnEhkZadK8gYGBDB06lAEDBuBp5sUuIXIqLCyMli1bcvz48XTbO3V8iWk/jEStto/381oHDzx8KqFSZ/y5dd/9e3TYtsXi+RO2bCVq+k/4jxuLY6mSGAwG7o/4BH1CAoE/fE/4l2PQx8YQOGkiqTducG/IcDy7dcW9bZtHcxjS0rj7wTA0fr74f/G5xbX0KlGKMdVsvJT5mjUwZAhcuGCb+X194dNP4b33QGN/5xpSUlL4+++/WbBgAWvWrCElJX2gXAtcA4IUqc4KHB3h+nUItHw1JSGsLf7OFfZ82R59qn2HWYs270XZjiOULkMIIUReM3QoTJqkdBWmKVMGjh4FFxerTmswGLh8+TJ79ux51AH3+PHj6CxYuWMa8K5Vq8taPPAWcAS4hXGtmWJAF2AI4GbJpN26wYIFVqpQCCHEs0yrdAFCCCFEbnFxdzJ532u3L/LL6gkUylect9t/mONje7n7MrLP0x/c/9qxmDOXj/Fhj29xd/MyaS4HJw1qjX1cQBX252LUDeadXse/1w5wPuoGBky/r8rNwYWqAaV5vXRTOpRshKuDsw0rFUII8YhGAz/+aAy6jB2rXB0eHvDbb/DSS8rVIGzCYDAw+VQE3524r3AlDqArAVwBdaxNj9S1WIlsg7YAfn5+fPHFFwwfPpyZM2cyceJEbt++neWYu3fv8vHHH/PNN98wePBg3nvvPQICAqxZvhCZCgoKYtu2bbz66qvs2LEDgFdebsjUSZ/YTdAWIC01ltioU3j4VESVwQ19zlYOdKpUKjy7vUn4l2NI2Phv+lquXAWDAYdSJdOP0WpxKFaUlFOncnRsJ1t+Po+MhA8+gPnzbXcMgIgIY+Dg999hzhzjBX2FGQwG9u/fz/z581m6dCkRERGZ7psGzAIsj0wr7PXXJWgr7IpBryN07v/sPmgLcHXTPAKrNcenlI1vehBCCPFs+fpr4w1t588rXUnWVCrj+3MrB22NU6soUaIEJUqUoGvXrgDExcVx4MCBdAHcrN6HPxRi9eqylgoYgKFAcYzLeW8HvgS2ApssmfTQIStVJ4QQ4lknnW2FEEI8N07vu86hTRez3S8+MZbPfuxPePQd+nX4mHx+BTPcz8PVi3x+Bbl59wo3714FYM32xdyPvkuvNh8AUDCwKAUDi2V6rJkrxnEgdBu/jFpn8uvIV9Sb5t2qmry/ePal6XVsuLqPOafWsPXGEavM6eXoTueyzehdoTUlvQtZZU4hhBAm+PdfeOstuHo1d4/70kvw889QuHDuHlfkiu9P3mfiyXCly3iMHjRXbBa4fbtUaT4ProragmUhk5KSmDt3Lt9++y1XrlwxaYyLiwv9+vVj2LBhFJb/QyKXJCYm0rlzZy5fOs36NTNwcnJUuqQMOboE4u71dHAzIjmZymv+sHjeJzvbPhT+5RhSr15F4+eHITWFwEkTST51ivBRX+DR9U082rd9tK8hNZW77w9F5epK4IRvLa5lbNXq9CxZyuLxmVqzBvr1g7Aw68+dFWdnGDMG3n9fkS63V65cYeHChSxYsIBz586ZPK4gcIU82l1k506oX1/pKoR45OqmeZxdPk7pMkzmGliUuqNWo3GUm8aFEEKYYdcuaNAA7DkuM2wYTJig2OENBgPnz59n9+7dj8K3oaGhPB4x0gCxgPXjwOYbAYwHLgIlzB2sUkFMDLi7W70uIYQQzxYJ2wohhHhu3L0WxYYFR7Pd7/Slo4ydPSTb/V6o9hL9X/uYlf/OZdWWeRnu075JTzq82CvTOSwJ21aoU5jqL5bMfkfxXNh07QAjdk7nWuwdmx2jTYkXGFd/IIGuPjY7hhBCiMfExsJHH8GMGbY/lqcnfP899OljPKksnjm/nI3k8yN3lS4jA3rQXAJ1vNVmdFKr+aRSMG+XKp1tR9vspKWlsWzZMr755htCQ0NNGuPg4ECPHj0YMWIEpUuXztHxhTBFamoKZ0+uo0CQn9KlZMnduwKOzr5Pba+zbi3XEyz7HpBZ2Db10mXujfgEDAa0hQsROGkiBr2e+yM/JfXaNdzbvopT+fLoExKIX/cPKaGn8H5vEK4NG1j8+tY0eZFqvlb8OzAY4IsvjA8lvfoqLFtmDN/aWHR0NL/99hsLFixg+/btZo93cHCgdevWTLt9m4J799qgQhuqXBmOHZP3YcJu6JIT2TaiMWkJMUqXYpZynf9HkabdlC5DCCFEXvPpp8YbzexR1aqwe7dNutrmRHR0NPv27XvU/TZm5052x5v/uW408AVwDPgK2IAxuNuL/wKz7wO7AD9gIPBRNnNOAD4ErgJFzK4I2LEDXnjBkpFCCCGeIxK2FUII8dxITUlj2Xc7lS4jx15oX4FiFWR5wedddHIco/b8zOKzG3LleD5OHox7YSDtSzbKcXhFCCGEiTZvNgZtLAidZMvRETp3Ni6bJ504n1n77yXQ4d/r2O+Jn1TQngWVLsczVff1Y1JITUp5elqhrv/o9Xr++usvxo4dy/79+00ao1aref311/nkk0+oWrWqVesR4nEJsVdJir+udBnZUqkd8fKvjlqdvudo3727+fvmDYvmzCxsCxD5wxQSd+56FLYF0McnEPfnnyTt24/u3n1Uzs5oCxXEve2rOFevZtkLA7QqFWfbdsDZWh1gDQYYMgQmT7bOfDnVpAn88Qd4eFh96tTUVDZs2MD8+fP5888/SUoyf7n6OnXq0L17dzp16oSfn58xtFqjBqSlWb1em/njD2OwWQg7cWPn75ya/5nSZZjNLagk9Ub/JeeshBBCmMdggL594ddfla4kvdKljcHPfPmUriRb+qVLUXfpYva40RjDtmWBbkAdYCPGoO0gYBPGgG15YDEwB1gBdHhsDgOgAxKA3UBvoMmD/S3y88/w9tuWjhZCCPGckLCtEEKI58pfM/cTfT9B6TJy5ET4Rnq89SYVK1ZUuhShkH+vHWTI9h8Ii8/95aBbF6vH+AaDpMutEELkppMn4aefYP58iIvL2VzFi8M77xg72fr7W6c+YZcS0/Q0X3+Fy7GpSpeSNVUkaK9ZPNxJrebDCpXoV6YMGpXaioWlZzAY2Lx5M2PHjmXz5s0mj3v55ZcZOXIk9e14efDIlGROREZyPCqSk1FR3E9OIkmnQ6c34KhR46LRUtTNjWAfH4K9fSnr5YmjOveXlhfppaXGERN+VOkyTOboHIi7d5l026aeOc240BMKVWQdFby82dishXUmMxjgww9h4kTrzGctTZvC2rVW6XBrMBg4fPgwCxYsYPHixdy7d8/sOYoVK0b37t3p1q0bZcqUeXqH0aOV7wpsqq5dYeFCpasQ4hGDwcDer18j9vpppUuxSI1h8/AtW0vpMoQQQuQ1Oh306mU/78tKloR//4WiRZWuxDRz50Lv3mYPG40xbDsRGPrY9mrAUWAl0P7BtjSgANAAY+D2oaXA4zHf3sAsIP1tnmaYPBnee8/S0UIIIZ4TErYVQgjxXDmy+SKhe+y/809mbty5widTjR9a69WrR79+/ejYsSOurq4KV5YzBoOBhNhkIsLiiLgdS0JsMro0PXqdAbVWhUajxs3LGd/8HvgFuePi7qR0yYqZcXwVn+2ZpWgNhdwD+b31GEp6F1K0jmfZ7fhwjt07z4nwi0Qlx5GsS0Gn1+OkdcRF60Rp78JU8S9FGZ8iaCXsIsTzIzaWO9On88cnnxACVAYcsxvj5QXVqxu7vDVtCs2bg7W67wm79sWRu8w6G6l0GabRXAa1eUsV+zg60qVYcXqUKEVhNzcbFZaxffv28c033/DHH3+YPKZhw4aMHDmSFi1a2EXHtTPR0cy/dIHNt29zPcG85R4d1WoqennTvkgRXi9SDC/HbL8TCSszGAzERBxDl5rDGzBymYdvZRwcvR59vePuHTrv2KZgRTnX0jOIX5s3sM5k334LH39snbmsrX17+P13UFt2U8P169dZtGgRCxYs4NSpU2aP9/T05I033qBHjx7Ur18fdVZ1pKRArVrGLrf2LH9+CA0FX1+lKxHikahLx9g/rrPSZVgsX0hLqvSfpHQZQggh8iK93hiynD5d2ToqV4b16yEoSNk6zPHTTzBwoNnDRmMM254FHr+F7k2MIdoE4PHb/eoBKcDBx7ZFAheBWGAP8C3QGFgFWPTJZdw4GDHCkpFCCCGeIxK2FUII8VyJi0pk9fR9SpdhsXl/TWbTvtXptnl5edG1a1f69u2bp5apTUvRcTn0DtfP3ifidixJ8aZ3XXP1cMQ3yIOi5QMpUi4AjdZ2XczsyYRDi/j2oH3cXR3g4s1vrcdS0a+40qU8EyKTYll2bhPbbx7l2P3z3E0wLRzlonWikl8JQgLL0blsc/n7EOI5sHr1atq3N/Z1cAQqYVxObWj//lQvX94YpHV2Bm9vqFoVSpSwOBgj8q4D9xNpv+kaeeeETypoz4JKl+2e1Xx96VWiFK8UKmy9ZdstdPLkScaNG8fSpUvR6bKvHaBatWqMHDmS9u3bo8nl+lP0OtbdvMm8SxfYd/++VeZ00WjoULgoPUqWpJK3rHyQW1JTYoiNOK50GWZzcPLDw6f8o69T9XrqrFvL7aREBavKmfufN8Dr7g26dk3l88+r4+1tYffXAwegTh3jRX579eOPMGCAybvHxsaycuVK5s+fz5YtWzD3MoRGo6FVq1Z0796dNm3a4OLiYvrgo0ehZk1ISzPrmLnqjz/g1VeVrkKIdELn/Y+bu1YqXYbFVGotjb7bhqOHhNiFEEJYwGCAOXNgyBCIMe+GYKt4+23jKheenrl/7JyYNQv69zd72GiMYdt7wONrb/UCfgeevLW0MXAfOJnFnMuAzqTvimuW776D4cMtGSmEEOI5ImFbIYQQz50ty45z80KE0mWYLSk5kcHjXycpOSHTfWrWrEnfvn3p3LkzHh4euVid6aLDEzh/6CYXj98mNdm0UEJWnFwdKFU1iNLVgnD3NuPiWx4z9ehvfLlvttJlpBPg4s1fr34nHW5z4Oi9c8wOXcOqC9tI0qXkeL7a+SvSp+IrtC5eDyeNdJkT4lk0ZswYPv3006e2nz59mnLlyilQkbBHbTZe5XB4ktJlmEd9FzRh6TYFOjtT2duHYB8fgr19CPbxJb85YatccunSJb777jtmz55NSoppP8/LlCnDxx9/TNeuXXHMhc6w62/dZOTRw9xOtF2osWm+/IyrHkJB19ztNPw8ios6S0rSPaXLsIh3QE3Umv9WKvn+VCgTT4cqWJHlUq97cm/IS4CxW7VKFUX58scZMsSXPn0qolab2MU6ORlCQoxdTu2ZmxucOAHFM7/BT6fTsWnTJhYsWMCqVatISMj8/EVmQkJC6NGjB507dyYwMNDyeqdNg8GDLR9vS++/Dz/8oHQVQjxl56ctSbh71aR9N5yLYuK22xk+91plX/rVCWTv1Ti2X4rhYngy16OS0Rlgfd+nP7Pcjk2h59JLGc71SdMCNC5peuio2qAfCQhuYvL+QgghxFOuX4e+fY0dZnNDoULwyy/w0ku5czxrW7AAevQwe9horB+2vQyUAMYBFvWnnTYN3n3XkpFCCCGeIxK2FUII8dy5eSGcLctOKF2G2f7d9wdz//rBpH3d3d3p0qULffv2pUaNGjZZqtZgMJCqT8NBrTVp/rioRPb/c55bF20XdC5SPoAazUvh6uGU/c55yLJzmxi0ZaLSZWSokHsgGzpMJsDFW+lS8pRDd87wv90zOHT3rE3mD3Dx5v1qnXi7Yhs0alkuXohnSZcuXVi6dGm6bY6OjsTHx6PVahWqStiT4xFJtNpgWkjCnng7qtnRuigqlQEntQZHtRptHuvKHBYWxvfff8+MGTOIi3vyslDGChcuzIcffshbb72Fq6ur1WuKTElm1NEjrLx+zepzZ8Rdq+Xz4Kp0KVbcJp9BBOh1KUTdOwB5qHf145zdCuPqUfTR17cTE6m1bg26PHiK2m+LO6dmVEGnK/jUc46Ol2jc+Bpff12WmjWzWQJ25Ej45hsbVWllTZrApk1Pdc0/fvw48+fPZ/HixYSFhWUyOHOFChWiW7dudO/enQoVKlirWvjiCxg92nrzWUOPHsaOaXnsZ5x49qUmxLLlg1om7/8wbDusUX4Ke6U/D+fnpiXQ3YHvt4Vx8nYCJf2dCYtJ5fz9pCzDtm0r+tDkiWBtQS9HPJ1NP69Rss0gSraRkIwQQogcMhhg9mz48EOING0VOrOp1dCnD0yYAF5etjlGblizBtq0MXvYaKwftp0NvPVg/GtmVwQsWgRvvmnJSCGEEM8RCdsKIYR47uj1Bv6auZ/YiLy1VOWeq6uZs3AWiWZ2o6patSp9+/ala9eueFnwgT0yKZbj9y9w9N55jt0/z4n7F7gdH/GoC6cKFc5aRwq6B1DFvxRVAkoT7F+KYP+SeDi6YTAYOHfoFkc2XyQt1fZLYjo6a6nRohTFK+V7Ji7wX4u9Q8PfBhCfar//Xl8pXp/Zzf/3TPx521pSWgrjDy5g+vGV6A22//9QO39FJjceQkmvpwMAQoi8KTg4mBMnTjy17dixYwpVJOzN8P23WXIpWukyLDKpdn7eKJ6HLzA9EBERwbRp05g8eTIREabdaBYQEMCQIUMYOHCgRe/ZM7Lh1k0+OnyIe8m53+W4cb78jK9eg4I2CBA/7xLjrpMYl/cC9Q+p1A54B9REpfovaNhv727W3ryhYFXmc9VoOdT6FVxVWiZPPsaPP8Zz6VI14MnOznp8fY/QqVMSX35ZDX//J/5PHD4MNWuC3vafDaxmxgzo35+wsDAWL17M/PnzOX78uNnTuLu789prr9GjRw8aN26M2hbhU4MBPv8cvvrK+nNbont3Y2hDbpASdiji7H4OTuxp8v4Pw7ZT2xWlTEDGKw/oDQbUD84VTdt1m79ORWUZtn27dgAdg/0sewEPBAQ3odqgH3M0hxBCCPFIQgIsXQrTpxvfu1tDYCC8/Tb06wdFi2a/v727cQMKFzZ72GgsD9vOBHYALYDCQPyDr6cC1YBtgEXvuENDwZo3/wkhhHgmSdhWCCHEc+nOtSg2LjiqdBkmq1i3MNWaliQqKorFixcza9Yss0M1Li4udOrUib59+1K3bt0sg5EpulTWXt7NnFNr2BOW1X2imVOr1LQOrM9L918g9U7uXzgsVNqPWq3K5Okut3qDntfXjGTHLfsPUP3c7BPalWyodBl27dCdMwze+j3no67n6nGdNY78r1Yv+lZ6VbrcCpHHpaam4ubmRmpqarrtb775JosWLVKoKmFPolJ0hPxxkSRd3jzVU83XmTUtnoELTQ/ExcUxa9YsJkyYYHKnR09PT959910++OCDHC2f/uPZM4w5aX74zZoCnJxZ0qAh5b28Fa3jWRMTfoy01Fily8gRD99gHBz/61x4JCKcNlv+zVO9et8pXZbPgquk23brViyjRh1jxQo3oqKqZTAqhjJljjF4sCcDBwajVqvg9ddhxYrcKdpK4v386Fi9Ouv//Re9mSFhtVpN8+bN6d69O+3atcPN7clwso1MmgTDhhnDt0oZPBh++EE62gq7dWXDHM79Pt7k/U0J2z4ut8K2Tt6BNBq/LUdzCCGEEE8xGODAAeONZ//+C9fMXD3G0xNq14bevaFDB3DKu9etnmIwQP78cPeuWcNGY3nYdjfwDXD4wTYtUBp4HRgKWHTbr5sbREeDRq6hCCGEyJqEbYUQQjy3Dqw/z9mDN5UuI1te/q68/FYIGu1/H/AMBgMHDx5k1qxZLFmyhPj4eLPmrFixIn379qV79+74+vo+2h4Wf5+5p/5mwel/uJeYs6VxiqcWpG/M67gYnHM0T044uznwYpcq+ORzV6yGnJh7ai0f7pimdBkm8XP2ZMcbMwlw8Va6FLu04PQ6hu+YlivdbDPTvEgtfm0+EhftM3QiT4jnzOnTpzNcWnnMmDGMHDlSgYqEvZl9LpLPDpt3ccPerH+pKJV8lHv/aAvJycnMnz+fcePGcenSJZPGODs707dvX4YPH06RIkVMPpbBYGD8qZNMOXPa0nKtytvBkYUvNKCab86CM8LIYDAQeXcPmPCeskv3j9i7/wQ7N8+lYMF86Z6LjIyhfuPuFC1agLWrp/PN+F85GXqe4yfPc/v2fTq/0ZLpk//31JzfTpjN+Ilzntru5OTIrSv/mvw6XD1K4OxWIN22L44fZdb5cybPoaRibu5satYClyy6k27ffp3Roy+yY0dx0tKevolAq71K+1r7WbavCyqdzpbl2kRb4E8z9g8ODqZHjx68+eabBAUF2aqsrO3YYVym98KF3D1uYCD89JMxVCGEHTs5dyS3dq8yef+HYdvJbYtS2j/9ezeN+ukb/E0J23o6aUhI1aFRqSjl70zHKr7ULeph9mtpMmkPDm7eZo8TQgghTHbvnrHT7aFDcPQoREZCYiLodODiAq6uUL48hIQYHyVLPts3Xb38Mqxbp3QVOVO/PuzcqXQVQggh8oBn+Ce6EEIIkbVqTUrgbucX8lUqqPtKuXRBW+N2FTVr1uTnn38mLCyMWbNmUbNmTZPnDQ0N5YMPPqBAgQJ069aNzVu38OOxFdRa8hbfH16S46Bt2ZTivBPdSdGgLUBSfCobFx7l3s28t5Tyrbh7jN77q9JlmCw8KYaRu35Sugy7NP3Y7wzdPkXRoC3Axmv76fT3p8SmmBfOF0LYj5MnM+42X6lSpVyuRNirPXcTlC4hx56F1/AkJycn+vbty9mzZ1m8eLFJ/2eTkpKYOnUqJUuWpHfv3pw5c8akY005e9pugrYAUakpdNu5g9PRUUqX8kzQpSWYFLQF+GHiCLQaDe8P+/ap50b8bxJxcYlMn/w/1Go1M2YtJyIyhpYt6uPo6JDt3L8tnsA/a2Y8evy1aqpZryMt7ckeRfBRxUqUcDc/UJXbVMCkGjWzDNoCNGxYmM2bG5OcXISpU49RpswOIObR82lpRamwOzRPBm0BBpqwT/78+Rk2bBhHjx7l2LFjDBs2TLmgLUCDBnDsGHzwgfFkS27o3Nm4FK0EbUUekJb49PdmU7z/x1Ve/vVsuodOb16PHweNmlblvBj8Qj6+bV2EDxrmR28wMHrDTdadiTK7prQkOe8hhBDCxgIC4KWXYORIWL4cNm40BjX37IHNm2HNGvjuO+P7wdKln+2gLRgDxXnds/AahBBC5IqszwoKIYQQzzCto4Z6r5Rj48Kjiq4kmJUKdYvgX9Azy308PDzo27cvffv25ejRo/z8888sXLiQmJiYLMeBscvWko2rWFPgAg4lfaxSc8mUwvSJaY8j2V+kzQ0pSWlsXnKc5t2q4pvf/i/ePvRL6F/EpyYqXYZZVl/czsiaPSnuVSD7nZ8TM0+stqvQ9J6wk3T9ZzTLXv5aOtwKkQdJ2FZk53hEkkXjbnV5usNYRvw+m4fu3k2iZmTeSdmj81A82vazqA6A4xHJFo+1d1qtli5dutCpUyfWrl3L2LFj2bt3b5Zj0tLSmDt3LvPmzeO1117jk08+oXr16hnuu/TKJcaHZvx9QklRqSm8uXM7fzdtRpCLRYs5igd0GYRUM5Mv0I/vxg3lrf6fM3f+H/Tq0RaANX9vZ8WqTXw3biglihcC4OqF9agfXPz97fcN2c5dJbgsfn7e5r+AB3SpT78OF42W72vUpP3Wzdjpx3MA3ipVmlr+ASbvr1arGDSoCoMGwf37CYwatYtly5yJiahEP2bZsFLbegkoBTzZI9bFxYUOHTrQvXt3XnzxRbTZhJJznasrTJpkDL9++CHs22eb45QrB2PGSMhW5Cn6VMveR37YOIgi3o7ptmXU2TYrfq5aPmiQPozfsIQn76++wuz992hRxsusOfUpz+77SSGEEMIuNWsGX3+tdBU506yZ0hUIIYTII57xW2iEEEKIrAUW8abuK6aFC3JbsYqBVGlU3KwxVatWZfr06dy6dYs5c+ZQr169LPd3blIUn0/rWy1oWyAtgLdjX7OboO1Dqck6/l1ynNjIvBFeTUpLYfGZ9UqXYZF5p/5WugS7sfzcv3y6e6bSZTxlT9hJ3to4Fp0+b3bREuJ5Fhoa+tQ2V1dXihUrlvvFCLsTkazjRkKaRWP9v1ya7uFUtREqR+entjsUq4hTtcZPbff/cilOlY3vO11q5uzixIlIy4IeeYlaraZNmzbs3r2bLVu20Lx582zHGAwGfv/9d0JCQmjZsiXbt2/H8Ngdg1fj4vj06BFblp0jd5OS+OjwoXQ1C/OlpZrXqa/dq03p0O5FRn05nWvXw4iIiGb4iAk0bliTPj3bP9pPnctdlnRpCRgMT78Xrennz3vlyudqLeYo7+XFxxUrWzze39+VH3+sT3h4CCe+/40ChFmxutzX48GvKpWKpk2bMnfuXO7cucPChQt56aWX7C9o+7gGDWDvXjh4EN56y7jUb05pNPD668ZOZqdOSdBW5EGWdXwu4u1ImQCXdA9r0KpVNCzhSUyyjpvRKeYNzq3u1UIIIYQwatjQeMNZXlWkCLz8stJVCCGEyCMkbCuEEOK5VyI4PzVfKq10GekUKu1HvTblUJvZCeIhNzc3evXqxa5duzh58iTvv/8+Pj6PBWpV4NaxHO6dyqNy1FilZo1BQ7fYNjgb7LNbZnJCKnv+OpMnLvD/dWkn4UnZdya2R4vPbiAxTTqIXI6+xYc7zFtONzdtvLafWSf/ULoMIYSZMupsW6FChVwPSQn7dMLCrrYAjqWrpnuoPX1ApX56u6s7Gk/fp7ZrC5ch5fxRHMuGoC1QIkev40JMCvGp+hzNkVeoVCoaN27Mhg0bOHDgAB1MDGatX7+eRo0a0aBBA/7++290ej3DDh8g0c6Xo998O4zlV68oXUaeZtCbGTYCxo8diru7K4OHjOPDT74nJTWVKZM+zlEdDZr2JKBgI8pVfpUBg7/mxo07Zs+h12d8c8CHFSrxZjHzbjrNDcXc3Fn8QkNcrBQgLRd1Ptt95mKMvqmArRk8b8DYXVYFNH5s+3ygM1AW48n/YpnMvxnoA5QD3ICCQFvgULaVGTV1c+Obb77h6tWr/Pvvv/Ts2RMPj7yzmgxgXCr2l1/g5k2YMgVeew2KFjV9fP780Lo1jB0LV6/Cb79BkyYS9BN5ktrBPs/ngfn/pdQOjtnvJIQQQgjrUalg4EClq7Bc//7Gm+eEEEIIE9jx7eVCCCFE7ilboyBaBzV7155F6SxmsYqBxqCtxjrBmYoVK/LDDz8wbtw4VqxYwayff+Zw4fs4v1DYKvM/9FJCPYJ0pi+nqYS716M5e+Am5WoVUrqULM05tUbpEiwWmRzLHxe307ls9h3anlV6g573t00iwc5Dx2P3z6NFkVqU9Lbv/w9CCKOkpCQuXHhysWbjz3khAE5FKfdzJ2nPOgxJCbg2eT3HcxmAM9HJhPhbpytaXlGjRg1WrFjBqVOn+Pbbb1m0aBG6bMKzu3btonXr1pR5qw9xrV7KpUpzZvTxozTMl48gF1elS8mTDAbzg+g+Pp5Mmfgxnbp9CMBPUz+lYIFAi45frGgB/vdxX4IrlcHJ2ZHDR04z9cfFbN12gH/X/0KBIDM+D2byWlQqFeOqh5Ci1/P7tasW1WltRd3cWNagEYHOVvy+dMjUSCt4AL+SPlALsA24+OD5xy0AbgO1AD2Qmsm8PwHhwPtABeAeMBGoA6wHmmZTVz0nJ+qPGPFsBEt9fGDwYOMD4P59OHwYjh2DmBhISgK93tgB180NKlUyBnULFFC2biGsSOvirnQJ6aTpDWy7FIOXs4YCnuaFZ7XObjaqSgghhBCZ6tEDPv4YEhKUrsQ8Dg7G1S6EEEIIE0nYVgghhHigZJUgnN0c2bPmDEnxmV2Osh2VCirVL0pww2KobHCxytnZmTfffJPTxeM4dWK1VecunJqfpol1rDqnrRzZcomCpXzx8LXPC/xXY25z4M5ppcvIkd/Pb3muw7a/hv7FnrCnu0/amyRdCoO3TuKvV8ejUctd20LYhZQUCA01BnAOH4a7dyExEVJTSU5JYZFOxyWMHecOAVeASpUqKVqysB8xqcp1NY3f+jsqF3ec67S0ynxxz0ln24xUqFCBefPm8cUXX/Ddd9/x66+/kpyceZBa7edHTONGeWbpqpjUVEYeOcycei8oXUreZOGdoc1erEONkIpERkbzxuuWB7M7dUz/f7xB/eq8UL8aLV8ZwNTpi/nm6/dNniur4LBGpWZSjVp4ODgw5+LTN5rkprKenix5oRH5XKwYtDUYzArbdgIWAdMBz8e2/wrUBZ5cE2U9/y1n9wqQ2SeT6cCTseuWGLvljiX7sK0qIsLYzbVYsWz2zIP8/aFFC+NDiOeEewHrr/p1JzaVc/cSAQiLMZ5r3XHJ+F0rn4cDZQKM31tn7rlDmt5Axfyu+LhouBefxh+hkVwMT2ZYo/xozFj5y8k7EAc3b+u+ECGEEEJkz8vLGLidMUPpSszTsSPky6d0FUIIIfIQCdsKIYQQjylYyo82/WpxYMN5roTezbXjege4UbdNOfyCbLvk4i+hfzLTykFbtUFN57iX0eSRS/y6ND171pylefeqNgk159Thu2fNHpN2I5bEf6+Qei4CfXQyaFRoAt1wqpEf5xcKoXZzJPVCJEl7bpJ2PQbdrVhIM+DzdUM0/k+Hju+/80+Gx3FtVwbXltkvDX303nkMBoNd/vna2tWY23y9b47SZZjswJ1T/HzyT94Jbq90KUI8v27eNC5fvHatsXtaSsZLhHthDNs8LhzQL10KgYHwxhvg7GzraoUdS9YpszxD6s1LpJ47guuLnVA7WSeMlqR7fsO2DxUrVozp06fz2Wef8cMPP/Djjz8SGxv71H5uLVugdslb//c3hN3ifEwMpT09s99ZpJeD99dOjg44ODhYsRijkGoVKFmiMAcPh5o1TqXK+vOjWqXiqyrVOLVxE3vyBaJ2y/2bJTsXK87nwVXwtPZy5Lduwe3bJu/eBWPYdgnQ/8G2aGAFMAX44Yn9Tf1knlF/Y3eMXW6vm1rcwYPPZthWiOeQZ1Hrr5hxLCyeidvSf7/7+t9bADQv7cnwxsb3jsV8nVh7OootF2NISNHj4qimbIALY1sVJqSQeV1qPYvIyh9CCCGEYkaPht9+g/BwpSsxjYcHjB2rdBVCCCHyGAnbCiGEEE9wcnXghXYVKFIugP3/nLNpl1uVCirWK0rlF4qi0do2rHox+iZf2SAEWDmlNAV0ZiwXagfuXo/mzrUo8hf1UbqUpxy/b17npqQd14lbcgpNfjdcmhdHE+QGOgNp16JJ2nGdtEtReA6oTuqZcFJP30db2BO1s5bUcxFZzutYPR8uzYqn26b2NS3IEZ0Sx5WYMIp7PX9Lak4/9jsJacot422JH44spXfF1jhprBwiEEJkzmCALVvgxx9h9WrIZqn4zPiBsTNez54wdCj06QPvvAMlsr8xQjx7lInaQsLW/7N33+FNle8fx9/Z3XtBKbRlU3aZsrcyVETcA3DiQEXFvRVx4lb0+5PhAPdgKKDsvUdbdgct3Tsd2ef3RwGtdCRpVuF5XVcvaHLO89yBNjnJ+Zz7+REAnxHXOmxMEbX9R1RUFPPmzeOJJ57g448/5r333qPo3EkrlQqfUY31nvRMS1JP8krP3u4uo9mRyTxzNQJJkpDLbXs/21jYFiApKYnfn3oaKSiIoHvvxqtXTzsrtE2Utzdv9e7DyKgWzpng+HGbNg8ArgW+5J+w7VJqQrXXc2HYtinKgH003tX2PBsfiyAIniugdRebth/bIYixHYKavA3AuI5BjOvY+HbWCIgVYVtBEARBcJvISPjoI7jxRndXYp2334Y2bdxdhSAIgtDMNI8WdIIgCILgBq07hXPlvf3pM7YdAaEOXDISUHsp6dy/FVfe24+ew+OcHrS1SBYe2jCfaieEAAfpejl8TFc4vjfb3SXU6WDBCau3NaaWULE0BVXnUIKeugzv4a1RdwxF3SUMn8vbEvziEDSXtQLAe3xbQuYOJ2Bmb1RdGw9Hy/01qOKDan0pgqzvmnbQxtDwxUBrqOT7E+vcXYbNinTlLE/d4u4yBOHSsXUrdO8Oo0bBTz/ZHbS9QFERvPUWtGsHN9wA+a7r0C94Bo3C9R3lJZOR6k2/oWzTCXXbbg4b10shPq76r+DgYJ599lkyMjJ47733iI6OxnvgABTNtDvsDxkZVJqcd1HjxUqu0Li7hAvs3ptMaloWfXrbEtKSI5M3fKGXxWLh3nvvxWw2Yykqovi11yn95DMsdXR4dhQZNd1s140e57ygLUBVlc27zAB2Aef6B38JTAUcvTbO/UAl8Iy1O9jxWARB8ExKbz98ImPdXUaTic62giAIguBm118P11zj7ioaN3o03HWXu6sQBEEQmiHR2VYQBEEQGqD2UtKpbys69okmL6OU43vPkHm8CMliX++wkCg/OiRGE5sQgVLluq5Enx/+jZ25ti3raY1IUyjtjc3zqs/MY4VUafX4+HvOCWtJkjhUeMrq7av+SAXA7+YEZKoLQykypRxNj5rFQWVy1wZwDhWc4Oq2Q106p7v9cGI9lcZqd5dhly+TV3Jt++bZGU8Qmo3qanj2WZg/v6azrbNIEnz3Hfz1V03n3Ouuc95cgkfxcUNAVbd/A5byIvyvmenQcX2Vrg8ONxe+vr489NBD3HvvvQz99Wey3F2QnbQmI7+cPs0t8W3dXUqzolT5OWXcrdv2U1RcCoDZYiYrK4/fV6wH4LIBPQkLq1kRZOioaUydMpYO7dug0WjYtz+Fjz5dSkRECA/ef5PV8ylUvshkDf+ef/nll2zbtq3WbVXr1mPcuYs31q5mTVUVh0pLbHiU9QvVaLgxNo5b4toS42vbcuV20els3mUY0JaakO00YDfwjkOLgueAb4APgURrd6punu9/BEGoW3D7PlTlpbu7DLvJ5EoC43q4uwxBEARBuLTJZDWfSW7cWNMcwBP5+8P//ldTqyAIgiDYSIRtBUEQBMEKMpmMqNhgomKDMRnMFOdVUJyrpThHS1GOlopSHWbTPwveyhUyvHzUhET5EdLCn9AW/oRE+ePt5/pl2nMri5m7e7FTxm6uXW0BJIvEyQM5dB8S6+5SzivRaykzVFi1rWSRMB4rRtkmAEWIYzsvA+h356DblgWShKKlP97DW+N1tkuuNdLKcxxekyeTJImFySvcXYbdduelcLjwFN3CROBFEJxi2zaYPt21Sy0XFdV0kvjhB/j4Y4iIcN3cglt0DHT9cWbV+h9BpcF70CSHjtsuwHMuhvJU+SYTWUrXXbznDL9mirCtrRRK54Rt33j7S7ZuP3D++y3b9rNl234AfvvpAwafDdt27BDLkq+Xk5dXhMFoJCoyjMlXjeLx2dOIigyzer7GQsMFBQXMmTOnzvsef+ghHhk4iEeAA8XFLEk9yZaCfM7Y2GHVT6mkV0go17eJZXx0KzQKF/4+2TGXDJgOfADogA7AEAeW9BLwKvAa8IAtOyrF6QVBuJi0GjKVM1t+dHcZdovoPRq1f7C7yxAEQRAEITISfv0Vxo71vAv0VKqaz0vbNM9GQoIgCIL7iU/DBOESojMZSClO42DBCU6VnaHapEdnNqCQyfFSaAjx8qdraFt6hLejlV9Eo11GBOFSpVQriIgJJCImsNbtkiRhMUvI5DLkLu4i2pCvj/5BtUnv8HFlkoxEffNemi31UK5HhW11Nvw/SRUGMJiRhzo+aKvp2wJVt3AUwV5YtAZ0W7OoWJKEubAa3yvbWzXGlp3buGXJLQQEBBAYGFjrz/r+rla7PiTkKAcKjnO0JMPdZTTJsmNrRdjWBqV6LYcKTnKw8CQnSjNrjqtMZ4+rlGoCNf50DY2je1h7Ooe0Qa1QubtkwV2WLIEZM8Bsds/8P/4IO3fC2rXQsaN7ahBcoluIl0vnMxfnoT+4Be+BVyD3C2x8ByvF+KoI0TTvEKkrHCgptnvfqvUbKP34U1CpiPhgPsrw8Fr3Fz7/EhZtORHz3zn/vSEl5YJxND17EPrs03bXcai0BIskIRefPVhNrtAgkymRJJPN+/7+84d23fdvX3z6os3z1mVzUQUB+ny6BQXjr7rwGOnxxx+npOTCrrVxcXE888wz57/vGRJCz5B+ABTpdRwqKeFQaQnJpaWUGQzoLRbMkoRGIcdboaS9vz/dg0PoFhRMnJ+f+372vO17DzcNeB74jJpQrKO8BLx49svm32g7H4sgCJ4pILYbAW0SKM9w/OpYrhAz7EZ3lyAIgiAIwjmDB8NPP8FVV4HR6O5qasjl8M03MG6cuysRBEEQmjERthWEi5gkSezOO8L3x/9mT/5RjpVkYLJYd5I/1CuA7mHtGRHTmxs6jCHYy9/J1QpC8yeTyVB42JK3RrOJxSl/OGXscHMIPpJ1oY5bnx3R6DaTR9zONaOmsWX/ag4c30lGzknyirIIDYxg/mPLLtg+I+ckP6z9H1l5aZRXlqJWaWgRFsPo/lczqOcYq+qqKNWhrzKi8XF+CE6n05Gfn09eXh55eXl1/v1MdSHc3tLptTTG/47aS+5pekdR9vFeqv9MxXtEG+T+jYdi84sL+eYb2372NBpNo4Hcxu4PCAhA6YbuSnvyj9q8jylLS/Xf6RiPF2Mp04NChiLCF02fKLwGt0Luq8Z4sgTd9jOYMssxZ2vBJBH86lAUYT4Nj51dQencrWCSCHxqIKo2jYeg9trxGC4lFsnC5jMHWXZsLXvyj5Benmv1vmq5ki6hcQyJ7sltna8gNqCFEysVPMpHH8GDD7q7CsjMhCFDYM0a6NnT3dUITtLCW0m4l4ICnWuC3VWbfgGLGZ8R1zp03O4hoqutNQ41IWx7ntGIdul3BM9qvI+lIjKS4Idqbyfz9W3S9JUmE6laLe0CApo0zqVEJpOhVPlhNJS6u5Qmef3oKU5WHQOgY0AA17WJ47o2sYRoNGzYsIHFi+temeWjjz7Cx6fu4+BQjRcjolowIqoZHGeFhNi1WzTwOHAUuN1BpbxCTcj2WeAFewaw87EIguCZZDIZMcNuJHnJs+4uxWa+LdoS3KGvu8sQBEEQBOHfrrgCli+HyZPd3+FWrYalS+Gaa9xbhyAIgtDsibCtIFyEKozV/HxiPV+mrCS5KNWuMYp05azP2sv6rL3M3bWYq9sOY0bCBHpFiG5YgtCcrM7YSW5VkVPGjjFFWr3tC/d8XOftZrOZBT+9Tkl5IT069gdgy4G1lFUU0za6E5JkwWyuu2tTVXUFoYERDOw+iuCAMPQGHdsO/sVnP86loCSXq0fcalVtRblaWsbbfoJQkiS0Wm2t0Gx9Idq8vDzKy8sbHVMe4kUI1oVtZX5qUCuwFLnmAwqv/i0xHi7AlFGGumt44zuYLTbPodfryc/PJz8/344K/+Hj49PkwK6/vz8KG5Z3PVBwwqYadZszqViagiLKF+8xcSha+IJZwnS6DN3mTEyppQTM7I3xaBHGI4UoYwKQeykxHm88WCNZJCq+OozcV10T4rVSUlEqRrMJlUK8Rfi3Ur2WZcf+YlHKSk6VnbFrDIPFxIGCExwoOMFHB35kZEwiMxImMSomEYVcdG+8aP3vf54RtD2noKBm6bbNm0WH24uUTCajW7AX63IqmzxW8Mx5MHNeg9v4X30v/lff2+S5/qt7sGs79DZXh+ro+mkrTc+eVG/Zgt+VE1HFxja4rUytQt2hQ5Pn/K9DpSUibGsjtVd4sw7bnqg0crLqn/d4x8rLeeXwQd5KTmJCy5b8+eorde537bXXMn78eFeV6Vxdu4JCYVfX+4afmWuknP0CyAWqgHOLwnc5+wXwDjWdci8HJgA7/jPOAGsKEhfxCMJFJ6rveI79+BamqjJ3l2KTmOE3ipX6BEEQBMETjRsHf/0F114LOTnuqSEsrCZoO3q0e+YXBEEQLiriTLogXEQMZiMfHPieTw79jNZQ5bBxdWYDy46vZdnxtfSO6Mi8QTNF6FZwqhKdloOFJzhYcJKDhSfIKM9FZ9KjNxtRyhV4KTWEewfSLawdPcLa0yO8HW38o8QHqnVYmLLCaWPHmKKs3rZdTJc6b1+y4gMKSnKYftVs2rbqDMCc299ELpcD8M5XT5GVl1bnvp3je9I5vmet23p1GkhBSQ4b9qywOmxbnPNP2NZisVBcXNxgaPbf3+t0OqvmsJZktD6gKpPLUHcKwZBUiLlEh8LZwRTp3MRWbm7DY3G0qqoqqqqqyM21vvNoXfz8/KwK5wYGBrJZ2mv1uMbUEiqWpqDqHErAvb2RqeTn71N3CcN7dByG5EIAvMe3xWdiu5rHtSbNqrBt9V/pWEp0eI+Lo/J767vV6s1GjpWepmtovNX7XMz0ZgNv7/2WBYd/pdpkfWi5MRISf2fu4e/MPbTxj2LuoHsZ26a/w8YXPMTvv8Pdd7u7igsVFMCYMbBrF0RZ/zouNB99wrwdErZ1pz5hYknyxkiSRFJpaZPH8bt6EsbUVMq//pbQZ21ePN4hDpWUcE3rNm6Zu7lSe4dRpU1Dkuq+KNHTLcut+zlKZzHzU1YmzLyHkH59KV3wBZbimmNfPz8/3nvvPRdW6WTe3pCQAIcOOWX474GX/nPb1LN/vkBNJ1uA5Wf//PPs139JddxWi0wGvXrZUaEgCJ5MofGm7aT7OfbdXHeXYjWfyDiiB01xdxmCIAiCINTnsssgORkefhiWLHHt3FOnwscfQ7gVTWQEQRAEwQoibCsIF4nDhad4cMO7dneytda+/GNc/utsHuhxLXP63IxG0fhS4oJgjeyKApYc+YOfTm4gvdy6Kxs3ZO0///dgjT+jW/dlepeJ9InsJIK3gNZQyeYzB502fisbwrZ12bJ/DWt3/MKwxPGM7Dvp/O3ngrb28vcNpLyy1Ortf/vhD265/zPy8vIoKCjAbEd3IUeRqoxIZgsyhXX/Bt6Xx2NIKqTi6yQCZvZGpqy9n2S2YEguRNM9osm16XZmg0KGsk2gVdtLWkOT53S3iooKKioqyM7ObnhDtYLQ90Yjk1v3vFP1R81rtd/NCbWCtufIlHI0PWr+z6wd8xxzXiVVy0/gf2dPpErb/w8OFpwQYVtgf/4xHtzwLsdKTjt1ngxtLjf/+SLXdRjFa5fdQ5DG36nzCS6SlwczZoDUaETFPTIz4d574ZdfakIywkVlalwA7yQVYvbQH7/GxPmr6BcuwraNKTcaKTU2/VhL5uWN35RrKF+4CP3hJDTduta7rSkvj5xpM5CqqlGEh+M96DL8p1yDTNO0zwROV1Y0af9LkUymQOMdia7Kvo777lRptrCioPGVObwSexMx/23KFi2hev0GXn31VaKjo11QoQslJjYatp129qsxSf/5/kX+CdQ2ZIMV2zSoY0fwF8evgnAxaj3iZvL2rab0hPUXFruNTE7X6XNRqMXqCIIgCILg0YKDYfHimvDr3Xc7v8ttWBh88knNfIIgCILgQCJsKwjNnMFsZP6+Zbx34DtMFtcExCyShQ8OfM/qjB18OHy26HIr2M0iWdh85iALk1fwZ8YOzJL9nTBL9Fp+OLGOH06so2toPDMSJnJNuxH4qi7dD1oPFZ5CarwXTS2mLC3Vf6djPF5cs/y8QoYiwhdNnyi8BrdC7qvGeLIE3fYz/F/aS+TkncZkNvLuo0sJD647fFtYkssv6xdz6MRuKqrK8fcJJCqsFaeyjhAf3YnbJz3UpMdpsViQJIlKnZZdSRs4fGI3t02cZfX+crOagwedF0q2iVnCfKYCZWvrltJVxQfjd2MXKpamUDp3G15DW6Ns6YdktmDK1KLbnImypR+a7hFYtIbzXVHN2VoADMmFyP3UyP3VqDrUdPetWpOGOacCVadQ5EEaJK0B3bYsjClF+Exsh9zPukBFYKUKdUgIZWVlbg0wu4Ii3MfqUKxkkTAeK0bZJgBFiGPDRJIkof06CXW3CDQ9ItBty7J5jJOltu9zMdGbDby55xs+Ovgjlia8Jtnq++N/szFrP+8MeZBxsVYt2Ct4KkmC++6DoiJ3V9Kw336Db7+Fm292dyWCg7X0UTE22o8/sppngPG2dkHIRQi8UToHHlv5jh1D5ao/KP/6G8Lmza3zokV15454DxqIMrolksGIfv9+Kn77HcPRo4S++DyyJlwsp7e4bzWE5kzjE9Usw7bL86upsvJqALmvL8H3zyRy3FiunTHDyZW5QWIiLFzo7iqaJjHR3RUIguAkMrmcrre/xraXrsZidOyqTo7WZsw0gv6z8pUgCIIgCB5s4sSaLrfz58MXX0ATVyi8QFgY3HEHPPqo6GYrCIIgOIUI2wpCM1aur+TmP19kR+5/e1i4xrGS01zx62zeG/YwN3Qc45YahObrSHE6D22Yz/6C4w4fO6koldmbPuDVXYt47bJ7mNJuxCXZ6fZQ4UmbttdtzqRiaQqKKF+8x8ShaOELZgnT6TJ0mzMxpZYSMLM3xqNFGI8UEhrZGz+NP0fSDtQ7ZmZeGnP/72Eiglty4+X3EhIQTk5RJt+s+hiN2ptZN76EStm0bliLl7/Hut01C2AqFSpumfAgI/tdafX+arWmSfM7QnBwMBEREURGRlKiCCQHo9X7eg2JQRkXSPVf6VSvScVSrgeFvCYk3a8F3sNrluU1ZWvRfnGg1r6VS1MAULYPJujRmmXsFVG+GA7lY0gqQKo0IlPLUbQKwP+OHmj6trC6ruULltEroiOSJFFdXU15eTnl5eWUlZU1+Pf67i8vL8fioWEMmUZh9bZShQEMZuShju/ap9twGvOZCgJe7Gn3GFUmveMKambK9BXc9OcL7MpNccv8eVXF3LL6JZ7sexuze91wSb5uXRS+/x5+/tndVVjnwQdh1CiIalqnesHz9KzM4A9C3V2GzbwUMq6Ls66DfkMkSUJbXE1RrpbiHC3FuRWUF1VhMpoxmyzIZDIUKjlqLyUhkX6ERPkT2sKfkBb+aLxVDngkzmdw4DGRTKXE/8brKX3vA3TbtuM96LILtgm48YZa33v17oUiPJzyJV+j270H7/797J5ff5FflOUsCqU3Kk0oRr2HX9zxLwaLxDc5tl8IYGjXlslbNrJs8DDiL6YuqmMugs/RLobHIAhCvXwi2tD+mtkc+26uu0upl09kHO2ufNDdZQiCIAiCYKvgYHj5ZXj2Wfj115oOtBs3Nm3MgQPh/vvh2mtB4/7zfoIgCMLFS4RtBaGZKqwu5bpVz3K48JRb6zBLFh7c8C7lhiru7naVW2sRmgeTxcwHB77n7b3fYrSYnDpXsa6cmeve4vfULbw5+AGifEOcOp+nOVhwwuptjaklVCxNQdU5lIB7e9da2l7dJQzv0XEYkgsB8B7fFp+J7Xio8DFWb/mx3rCtJEks+HEuoYERPHvX+6iUaiwWM7+uX4LRZGD2LXMJDYpo0mMEmDTsZob1mUB5RQn7j21nyYoP0Bt1TBh8vVX7q5WOf9Mtl8sJDw8nMjLyfIj23Ne/v4+IiCAiIgK1+p/A8cLkFczZ8rFN8ylbBeA/rXuD26g7hhL22eWNjqXpHoGme9P+X5RyBZ1D4gCQyWT4+Pjg4+NDVBMCXZIkUVlZ2aTAbllZGVqttkmPrS7//n1xF3NRNVW/Hsf3us7IA+z/mdZdomHbwupSpq58hqSiVHeXwrzdSyjXV/DigDtF4La5KSys+UC3uSgpqan3p5/cXYngIFlZWTz++OMsW7aM8LdXoYqOd3dJNrm6dQBBausvYPmv8qIqju/LJu1wLvrqht5nSJhNFgzVJipKdJw+Wnj+nuBIPzoktiQuIRJlE2pxNqWVHfWt5T3oMip/X0750mV4WRmc9R46hPIlX2M8fqJJYVtlE7riXup8A9pSVliGJDn3fbWjfJqpJb3avnD1maoqJm9cx3dDhtMpsOmhfI/QoQOMHAnr1rm7EvsEB8N117m7CkEQnKz1iJspSt5CYdImd5dyAaVPAD3ueQ+F+tJd1UwQBEEQmj21uuZ9xXXXwbFjsGUL7NkDe/fCwYNgMNS9n0oF3brVrLbRpw8MGgQJCa6tXRAEQbhkibCtIDRDZfoKjwmEnPPMts/QKFTc3mW8u0sRPNixkgzuX/cOBwutD4E6wh/p29mec5h5g+5jSvsRLp3bnQ7a0Nm26o+a5xO/mxPqDA7KlHI0PWoCmLKzJ/ctNNxR62j6QTJyTnL3NU+c7167bPUCklP3cePlM+kS38vq+hoSFhRJWFAkAD071iy//sOaLxjSaxwBvkGN7m+2WHfCV61W1wrN1hWcPff3kJAQFAr7Aho9w9vbtZ8n6RTcBq8mdiz+L5lMhp+fH35+frRs2dLucSwWCxUVFU0K7JaXl1NZWXl+TMli3VK4ADI/NagVWIqq7X4MdalYloKipR/qXpFYqmo6I0uGmt9RSWfCUm1EbkW3PoXs0gu8lOsruW7Vsx51XPXJoZ9RK1Q802+au0sRbPH551DUfDoMAjVdeI8cgc6d3V2J0AQGg4H58+fzyiuvnH990n7/PiGPvO/myqznrZDxYBfbL4yzWCTOnCjk+N5sctJKmlxHSV4FO1cdZ9/fp4jvHkWH3i0JDPNt8riOppE7Nggsk8kIuOUmil5+jaq1f9u2cxODv152HjMLIFeo8QmIp7LM8avFOFqS1sDCLNu72v5boV7PTVs28vOwkcT6+TmoMje7777mG7adMQO8Hb9ahyAInkOyWMj4axHFR3e4u5QLyNXe9H7wM/xbdXB3KYIgCIIgOErHjjVfd9xR873BACdOgFYLOh1IUs17ED8/aN9edK8VBEEQ3EaEbQWhmdGbDdz854seFQg55/HNHxGk8eeqtkPcXYrggbZlH+aW1S+iNVS5Zf5SfQX3rnuT1LJsHku86ZLoFphXVWzVdpJFwnisGGWbABQh1p8sM8oa7qB0LP0QAF4aH95a8iTJJ/dgtpgJ8g89H4p1hrbRnVi363fyi7OtCtsikxg0aFC9wdlzfw8ICHDJz03X0LZE+ASTX9X0wIi7jG7d190l1EsulxMQEEBAQECTxjGZTGi1WsrLy9l5Jon7D39k1X4yuQx1pxAMSYWYS3Qogh3TgcV8RoulWEfx7AsDMuXzdyPzVhI6f3Sj4/z1xxqeXp1H165dSUhIoGPHjnh5XbxdYoxmEzf/+aLbVwqoy3v7vyPUK5B7u092dymCNcxm+Owzd1dhn08/hQ8+cHcVgp1Wr17NrFmzOH68dthOt2s11Tv+wHvAFW6qzDZPdQ8j1t+2C3VK8irYtvwoJXlNC/DVxag3c2z3GY7tPkOnvtH0HBGPUuU5odAAlQqNXI7e0vDFb7bQdO+Opnt3tD/+hCI0tNHtqzbULO+oat+0C8XCxMmxJlF7hWPQFWLUW/fezx0MFolnT5RiX0/b2vJ0Om7cvJE/R40hUO3Yi/vc4soroWVLyM52dyW2u/ded1cgCIITWcwmkpc8S87239xdygWU3v70euBTgto65iJ+QRAEQRA8lFotutUKgiAIHkmEbQWhmXln71J25ia7u4w6SUg8suk9+kR2Itov3N3lCB5kXeZebl/9MjpzPct9uNCbe79Ga6zipUtgeW69ybp/b6nCAAYz8lDbutJUyXQN3l9SXrMk7xc/v0mX+F7I5XIC/UKQyWS8+sUs5j74fwT5N34i31YpafuRyeREhFjX/bRTlw5seXOLw+uwl0qh5NZOl/POvqXuLsUucpmc2zo3j2BPUyiVSoKDgwkODsYUqIDD1u/rfXk8hqRCKr5OImBmb2TK2t1kJbMFQ3Ihmu4RVo/pf2dPJGPtCIMxpZDq1Wn43tQFZUt/q8Y5lXyc11esOv+9XC6nffv2JCQknA/gJiQk0KFDB1Sqxjvlerr39n/Hjtwkd5dRr5d3fsmQ6J4khMa5uxShMStXQmamu6uwz+LFMHduTVcIodlIT0/nkUce4ddff613m7IvX0bdpT+KANs7xrqS/og3zz16nOGbOtK2bXCj21vMFpK2nSZpSwYWG7rL2+vo7jNknSzisomdiGgd5PT5rKGUy+kcGMSBEscGLANuuYmCJ57CUlaGMqYVAPqUI1T8/Ate/fqiiIwEoxHd/v1Urf0bddeuePVJbNKc3YIa/z8X6ieTyfANaEdZ0QEki/vfb9fl/YxyTlU3fKGmLU5XVfLy4YO8k+i5F/hZTaWqCa0+/7y7K7HN5ZdDu3burkIQBCexmIwc+mI2+fv/cncpF9AEhtNr1gICYsTKHIIgCIIgCIIgCIJ7iLCtIDQjBwqO88GB791dRoO0hipmb/qAZVe8fNEHGQXrbM9JYtqaVzwiaHvOp4d+xkep4cm+t7m7FKcyWBx3QrMuZ5R5Dd5vkWo6bcVFd+B07inMFjPXjb0LSbKw4Kd5fLfmC0b1u/L89v4+gUSGRnMmP50z+RkAlGmL0Rv17Eqq6ZwVHdGG6IhYAP7v17fx1vjStlUnAvyCqagqY2fSRnYeXs/4wddb19UWCInyvHDRbZ2v4L3932GWHNetzFXGtu5HjH+ku8twqdiAFvgovagyNRxAP0cVH4zfjV2oWJpC6dxteA1tjbKlH5LZgilTi25zJsqWfmi6R2DRGjAerwnSmLO1ABiSC5H7qZH7q1F1CDk7ZtAF81iKqgFQtglE1SbQqtpMWeW1x7BYOHbsGMeOHePnn3/+5zGoVHTo0OF8APfcn23btkXRTJaDPlx4inf3e3ao3Wgx8eCGd1h99XuoFOKtm0f79FN3V2C/8nL49lu4+253VyJYobq6mrfeeovXX38dna7h1x0/mZlrpNP8hueGbS06GaWfRWHOb03Hjll8/HEW99zTrd7tSwsq2frbEad0s21IRYmONV8doGPfaHqPaotCIW98JyfrFhTs8LCtKj4O70GXUb1l6/nbFMHBIJej/fFnLFotyEAZ1QL/66/D78qJyORN+7foHizCtk0lV6jxD05AW3wYSXLue0BbLTxTwZLsSoePuyw9jQnRrRgZ1cLhY7vc7NmwaBGket4KVnXSaGD+fHdXIQiCk0gWM0kLn/TIoG14j5F0nfYaKis/7xMEQRAEQRAEQRAEZxBnbAWhmdCbDTy4/t1mEbxal7mHb4+t4eZO49xdiuBmp0qzuPnPF6g26d1dygXe2beUFr5h3N5lvLtLcQqTyYRapsRgxclWmZ8a1IrzwTxrZSlzaShS7+dTE+5rEdaalNT9AHz249zz92/Zv5ot+1ef/35wr3HcM+VJdh7ewC/rF9ca68NlLwIwecTtXDNqGgDtYxLYtO9PtuxfTZWuAo3am9ZRbbn32qcZ1HOM1Y8jJMq6jp+u1NIvnMtjB7IybWvjG3uYGQkT3V2CyynkCrqFtbWp87zXkBiUcYFU/5VO9ZpULOV6UMhRRPii6dcC7+FtADBla9F+caDWvpVLUwBQtg8m6NH+DnscAKaM8sY3AoxGI8nJySQn137MGo2Gzp07X9AJNzY2FnkTwziOZDSbeHDDu5gsjljQ2LkOF57igwPf82jiTe4uRahPfj78+ae7q2iar74SYVsPJ0kSy5cv5+GHHyYtLa3R7adNm8a8efOIjIwkaE8ei0+WOr9IG8mAkYWVLC2oAEIwm1tx771R/PLLBlasGIryP53fC86UsX7ZYQw694UJj+0+Q3lRFcOmdEWpdu/FJd2Dg6HxH4U6+YwYjs+I4XXeF/zwLIIfnnX+e2WLKEKfftK+iRqhlMnoHBjklLEvNUqVL/4hCWiLkz0mcLssp5J30607trTH4/v2sG70OALVaqfN4RK+vvDllzB8uLsrsc4rr0CnTu6uQhAEJzn+09vk7l7V+IZuoM066u4SBEEQBEEQBEEQBAGZJEnOX3NPEIQme333Et5tRkuK+6t92HrdAlr4hrm7FMFNzBYzk35/nN15R9xdSr28lRo2XPsJ8YEt3V2K3SwWC2lpaSQnJ5OUlHT+z6NHj+L3+hDkvtYt817+yV4MSYUEvzYMRbCXVft0MMTSehUs+/Mz3n10KeHBUbXu337wbz754VVuuuI+rhg0tdZ9D8ybQlx0Bx699XXrHqgTTbizD8GRntfddmv2Ia5e/oS7y7BJu6BWbL1uAXKZ54QqXeWZrZ/xedJv7i6jSSxaA8WPr3PK2D4+PnTp0qVWALdr1660atXKLZ3w39m3lHm7l7h8Xnup5Er+nvIhnUNi3V2KUJdVq2DChAY3WQRMP/v39cDw/9wvAe2BU8AwYMPZ25cAq4D9wAmgNZBezxy7gOeAbWfH6wu8Cgyy5jH4+NR0uG0mnakvNSdOnOChhx7ijz/+aHTb3r1789FHHzFw4MDzt1kkiVk7cvglQ+vMMm32WmIE09oHs3t3DqNH51Ne3uP8fSEhe9m4sTVdu4YDkJdRyvrvDmEyesbFp+GtAhh5Y3dUavddw55UWsK4v9e6bX5H6BIYxNrRY89/b9CZKM7VUpyrpaywCrPJgtloQSYHhVKB2ktJcKQfoS38CQzzQe4BHYY9jclYibYkGcni3pVlvsjU8sFp5z/n3BIXzxu9+zh9Hlcovf12gpZ4+PFp//6wdas4XhCEi1TxsV3seed2d5fRoBb9J9HtjjfdXYYgCIIgCIIgCIJwCROdbQWhGSjXV/LZoV/cXYZNtIYqFhz6lRcH3unuUgQ3WXD4V48O2gJUm/Q8tGE+v135hseHAyVJIisrq1agNjk5mZSUFKqqqurcx1JcbXXY1vvyeAxJhVR8nUTAzN7I/tNJTDJbMCQXoukecf62LGUurYn671Dnde/QH7XKi0PHd9UK26ZnH6esopi2rbpYVZszyRUyAsN83F1GnQa17M6UdsP56eQGd5ditbeHPOjxv0vO0iO8vbtLaDK/chlGf3+0WscHI6qqqtizZw979uypdXtAQECtEO65P6OiopwWwq0y6vj04M9OGdtZjBYTHx38kY9HPObuUoS67N1r9ab+wP9xYdh2IzVB2//2Wv8KyAX6ARbAWM+4u4GhZ7f7ipqw7ZvAKGrCvQPr2e+8qio4ehQSEqx5GIKLVFZWMnfuXN5++20MhoaDcyEhIcydO5c777wTxX9CUHKZjPn9a5Za95TA7cu9a4K2AH37tiAvL5wxYzawZctQQE5xcSI9euTz+uv7mHFLO9Z/f9hjgrYABVnlbPwhiRHXd0OhdE/orHNgIC29fciurvu9QHMwOiqK3PQSTh3KpTCrHG2J9SttyBUygiP9aBEbTLteLfAL8nZipc2HUuVLQGgPKstOYDKUunz+MqOFeWllrCiwbdUUe/2Qkc4TCd0I0WhcMp+zHDx4kMl//skaoJ27i6mPRgMLF4qgrSBcpEy6SpIXP+PuMhqVs3M5kYmXE9FzpLtLEQRBEARBEARBEC5RImwrCM3A9yf+psqkc3cZNvv22Bqe6Hsr3srmfdJDsN3J0ixebyYdA3fkJvG/pOXc3e0qd5cC1IRq8/LyLuhUm5ycTHm5bUtwmk6Xo4wJsGpbVXwwfjd2oWJpCqVzt+E1tDXKln5IZgumTC26zZkoW/qh6R6BRWvAeLwYPXAsvwiAg8d3EuAbhL9vIJ3jegLg6+3HlFHTWfrnpyz4aR4Du4+kTFvMT38vJDQwktH93f9v7hOi8OiOWHMHzWTTmYMUVJe4u5RG3ZEwiUEtu7u7DLcZ3LI7cpkci+Q5QSBbPX7Nvdz/0lqbg/1NUV5ezo4dO9ixY0et24ODgy8I4CYkJBAeHt7kOX85tZEyQ0WTx3G1305t4uUBdxHqHejuUoT/siFsez3wDfAx8O9X6P+jJhD731f61cC5V6mJQFI94z4HBAF/AucuIRkNxAOPAVutKW7vXhG29RCSJPHjjz8ye/ZssrKyGtxWJpNx991389prrxEaGlrvdiq5jA8GtCBIrWDhiVIHV2w9pQze6hfFdXG1n8u8vJRs3jycd97Zz5w5LbFYIrFYIpj3qj/BlTvx9sBV4nPTS9mx8jiDrurslvkVMjm3xMfzZnJ9zwyey8sso0+ZN+03V/FX8UG7xrCYJYqytRRla0nadprodqF0SGxJy7Yhbuma70kUCg3+wQnoq/Oo0qaBZHbJvOuLdbx8spRCFwbj9RYL36WnMbNjJ5fN6WibN29m0qRJlJWVMQnYDHjcGlFyOSxdCp3d83wnCILznfj5XaoLGz7u9BQpX79AcPveqHyD3F2KIAiCIAiCIAiCcAmSSZIkubsIQRDqJ0kSg7+/h+Olme4uxS4fDp/NDR3HuLsMwYUkSeLK3+ewI7f5nPT1VmrYdt3ntPKPaHxjByoqKiI5Ofl8oO1cqK2oqMgh43sNi8HvRttCM6ascqr/Ssd4vBhLuR4UchQRvqi7h+M9vA1yfzWGY0WUz99d5/6dYnvwzJ3v1bptw56VrN7+E7mFWXhpvOnevh/Xj72bkMCmh+aa6t2vnyEsxpc5c+YwatQojzwx/0f6dm5b/bK7y2hQbEAUG679FF+Vl7tLcatb/3yJPzN2NL6hB9IoVBy8+at6g5wWi4X09PRaAdzk5GSOHDmCXq93WZ0REREXBHATEhIIDg62an9Jkhj98ywOFZ50cqXO8UL/O3ig57XuLkP4r5gYaCQQuQiYDvxNTWh2PnDP2fvKgBbAB8B71ARsNtQxxrmwbXod9/kDE4Bl/7l9CvAzkH12jgbNmgXvv9/YVoKTpaSkMGvWLP7+++9Gt+3fvz8ff/wxiYmJNs2xKlPLU3vyKNS7JoB3TkKQhvn9o0gIbvh4ITm5gGHDMigqSuTRWw/Ts2Oxiyq0z9ApCbTu5J7j2nxdNf1WrcTYTC72UVhgVJEvQ4p9UEvOOe72C/ai79j2RLerP3x+KTGbdVSVncJocN7FeyVGM2+mlbusm+1/tfbxZevl45F74Hu5xqxYsYKpU6ei0/1zgX1vYB3gMZdXyWQ1HW1v9+yl5QVBsF/pqf3seuMmd5dhk+jBU0i47VV3lyEIgiAIgiAIgiBcgkTYVhA83NbsQ1y9/Al3l2G33hEdWT35PXeXIbjQvvxjjPvlYXeXYbMHe07l+f4znDJ2eXk5KSkptQK1SUlJ5ObmOmW+c5SxgQQ92ejC0U2ikpS8WHw/PlLzC1kWluYy+52bkc6GE3r37s2cOXOYMmUKSqVnNf+/b91b/HBinbvLqJMMGb9MmndJd7U9Z13mXq5f9ay7y7DLde1H8fHIx2zez2QykZqaekE37mPHjmEymZxQad1atmxZK4DbtWtXunTpgr+/f63t9uYd5fJfH3FZXY7Wxj+KnTf8D4VcLN/rMXQ68G586fJF1IRtd1MTqj0G7Dx732fUdJ/Noaa7rT1hWw1wA7D4P7ffBCylpkPu2MaKvOIKWLWqsa2aHUmSyKw0cqhEz+FiHUV6M3qzBaMF1AoZXgoZbfxUdAv2onuIF0Fq9/x+lZeX8/LLL/P+++83+vwZHh7Om2++yW233YZcbl+H/mK9iWf35vPbaa1d+9tCKYOHE0J5oEsoKrl1YTiTycJDd25iYHsnF+cAXr4qJt7dFy8f97TfvW/ndn7L8vyLc6OrlUzNDaCF3jXH2fHdo+gzpi1qL5VL5vN0JmMF+qoc9NUFgGPC2SkVBpbmVPJnoQ6dxb0fL381aAgjoxq9rMSjLFmyhBkzZmA2X3jhQy/gb6WSYBceT9dJoYAlS+Cm5hXCEwTBNgc+nUX+/rXuLsMmMoWKoW+sQxPgcb3ABUEQBEEQBEEQhIucZyVJBEG4wNJjzeuDrv/al3+M4yWn6RDc2t2lCC7yf8nL3V2CXb49upo5ibfgpbT/JHlVVRVHjhy5oFPt6dOnHVhpw1QqFZ06dSIhIYFOXbvwKTswO+hkal2MMhO7NIcZruvrtDmcZd2u5eeDtgD79u3jhhtuIC4ujkcffZTp06fj4+PTwAiu8/aQB8nU5ntkx+h3hs4SQduzhrfqRWxAC9LLc9xdis2mJ0ywaz+lUkmHDh3o0KEDkydPPn+70WjkxIkTtQK4ycnJnDhxAovF8c9J2dnZZGdns2bNmlq3t2nTplYAd71fqsPndqUMbS47c1O4rGU3d5cinFNtexe/GcAIIBlIAL4EplLTndZeXYAd1MSnzkUvTfwT6LWqZ74dj8VTlRnM/JBWzt/ZFRwq0VFqsP55p42vih6hXkxuE8CoFr4orAyH2kuSJL755hsef/zxRi/EksvlPPDAA7z00ksEBQU1ad4QjZJPLmvJpNZa3jpcyLEyQ5PGq8/QSB+e6RlO10a62f6XocrI0K4KjC7uvmsPXaWR3atPMmRyF7fMP6Nde48O2yosMLrIl2FFPihwXefR1EO55KYV0398R9HlFlCq/FAGtsfbPw5DdR766nzMpirAtpBsgcHMthI9y3IrSaowOqdYO/yeldmswrbz589n9uzZ9d4fNmYM6tdfh1tugaNHXVjZv4SE1ARtJ9j3PkEQhOZBV5JLwUHPvLi7IZLZyJnNPxI/4V53lyIIgiAIgiAIgiBcYkTYVhA83N582z5UN2Vpqf777BLwZXpQyFBE+KLpE4XX4FbIfdUYT5ag234GU2Y55mwtmCSCXx2KIuzCUJmlTEflL8cxJBciVZtQRPrgPTIWr0GtrK5pT95REba9RBRVl/HbqU3uLsMuRbpylqduYWqHkY1uq9frOX78+AWdalNTU3FVw3iFQkG7du3o2rXr+W6OXbt2pV27dqhU/3Rvylj7GstTtzi1lq3e+xmq64PchSfPm8pgNLBx7x913peWlsYDDzzAiy++yIMPPsj9999PaKh7T9D7qLz45vIXmbLyKQ4UnHBrLf/20oA7ubXz5e4uw2PIZXJmJEzk+e1fuLsUm3QPa0diRCeHjqlSqejSpQtdutQOHul0Oo4dO1YrgJucnOy058+MjAwyMjJYdbZbZ+BTA1G1sX5RXkceV0l6E9qvkjBnlmMp1SNJoAj1RtO3Bd6j2iDTWPfWbH/BMRG29ST/WvbZWsOAttSEbKdR0+32nSaW8SBwB/AA8Aw1oduXgIyz91vV+/QiCNsmlehYfKKUnzPK0Znte07JqDSSUWnk99Naon2U3NI2iBvbBhLu5fiPTw4ePMgDDzzAli2NH6sNHTqUDz/8kO7dHXuByxWt/Lk82o+dBdUsOVnKykwtpiY+HQeq5FwXH8itbYNoG2DfhWx71p5sFkHbczJS8mnbPZKWbV1/zNgnNIybYuP4Nj3N5XM3xsssY1pWIHHV7un6W6U1sP67w/QcHkfCZa2RyZrP+xVnkcuVePlG4+UbjSRZMBsrWZ15gpyKAtp4KdHIZWjkMoyShMECpSYLRyqMJFcYSKk0UvCfixeq1m+g9ONPQaUi4oP5KMPDa91f+PxLWLTlRMx/B1N+Pvn3PVhvbZqePQh99mm7HtfhkhK79nM1SZJ49tlnmTt3br3bTJ06la+++gqNRgP798MLL8Dbb4MTLlir19VXw6efQlSU6+YUBMEtsjZ9j2RpPsdc/5a16XtiL78TuUKc5hQEQRAEQRAEQRBcR7wLFQQPVmGo4lTpGau3123OpGJpCoooX7zHxKFo4QtmCdPpMnSbMzGllhIwszfGo0UYjxSijAlA7qXEeLy4zvEs1UZK39oJZgnfyR2QB2rQ786h4qskpGoj3qPjrKrrYOFJbmp84VrhIrD02Fr0Zs/pbmOrhSkraoVtTSYTJ0+evKAz4/Hjx+tc6tFZ4uPjawVqExIS6NixI15ejXcIm9FlotPDtoWKEjZ672ZEdT+nzuNIK7Z8Q3llwydkCwsLeeGFF3jjjTe44447mD17NrGxsa4psA4BGl9+mvA6t6x+ke059XS4lSDQ4k+MKYoYUxQhlkDUkhKlpMQss2DERIW8kixlHlnKXPIURVhk9iVq3hh8PzMSJjbhEV2cpneZyFdH/uREqed2mPs3GTJeu+wel4VPvLy86NGjBz169Kh1+7nO4P8O4CYlJTm2M7hChrKl9b1DHX1cJZklkMBrVGxNEFcGxhMlVK08ifF4MYEPW9ch/GDBSasfg+ACStvfUsuA6cAHgA7oAAxpYhkzgALgVeDTs7cNBB4D3gCirRlE1XyXWj9SqufpPXnsKnRsYPhMlYk3DhfybnIh18cF8kyPcALUiiaPW1JSwvPPP88nn3zSaLfvli1b8vbbb3PDDTc47blaJpMxIMKHARE+5Feb+DmjnD2F1Rwq1nGmqvElzOUyaOevpluIF4MifLiytT/eSqsi3nWqKK3m9NECu/d3lyO7stwStgV4rnsP1uflkuNBoXlfk4w7MoOI1rv/ueXAhjQMehO9RsSLwO2/yGRylGp/fsirYm1OWdMGMxrRLv2O4FkP1LuJIjiYsLmvXHC7btceKn79Da9+9q+Wcry8nGqTCW87XpddxWw2c9999/H555/Xu829997LRx99hEJx9rXGywveeAMmT4bp053f5TYkBD76CG64AcTviiBc9CwmA1mbf3B3GXbTleRQeHgjET1HubsUQRAEQRAEQRAE4RLiuZ9ACoLAocJTSFYu6WdMLaFiaQqqzqEE3Nsbmeqfk5vqLmF4j47DkFwIgPf4tvhMbAdA1Zq0ekMhuo2ZWAqrCXpqIMqzXeDUCeFYyvVULj+J5rJWyH0aP3F2yIO6MArO9Wsz7Wp7zu68Izw17wVOH64J2B49ehSDwTlL6tYlJiamVqC2a9eudO7cGV9fX7vHHNSyO+2DYpwe/PvDZzMJhrZEmD1/idbQlv787/v36Pd5Z9577z3y8vIa3L6qqooPP/yQTz75hOuuu445c+bQs2dP1xT7HwEaX74b/yqPbf6Q74//DYBCUtDd0IFEXRdam1rgL1n/82LASLYynxT1KXZ4HUIrr2x0n0C1H+8MncVVbZsaDbs4eSnVfDD8ESb89hgWyYXdp+x0d7erGNCiq7vLwMfHh8TERBITE2vdXl5eTkpKSq0AbnJyMtnZ2TbPoWjpX+v4qCHOOK6S+6gIuKtnrdvUncPAZKF6TRrmgioU4ReuMvBfBwtF2NajeHvbtds04HngM+A1B5XyBPAwcALwB9oA9wC+QGL9u/3DzsfiTkaLxMdHinkvuRCjE59yjRb4+lQZf2dX8na/KIa3sO/YzGKxsHDhQp588kkKCwsb3FapVPLII4/w3HPP4e9v/YUCTRXhreTeTiHnvy/SmThcoud4uZ4qk4TObEEhq+l8GaCWkxCkISHYC58mhGv/68T+HIeN5Uo5qSWUF1cRENL4c7mjBajUvN27Lzdv9Yz3Y15mzwnanpOyPROFQk6PYdZdNHwpcURXWE3PnlRv2YLflRNR1XOBokylQt2hwwW3l3+zFJlGg/fgQXbPb0EiuayUPqFhdo/hTHq9nptvvpmffvqp3m2ee+45XnrppboD4QMG1HS5XbAAPvkEjh93bIHh4XDHHfDwwxAZ6dixBaEZMBnNGPUmzCZLzQokSjlKtQK1lauPNFclJ/dhKG/4mNTT5e75Q4RtBUEQBEEQBEEQBJe6uD8tEIRm7pANYYqqP1IB8Ls5oc4giUwpR9Mjoubvcuu6UxhPlSALUJ8P2p6j7haBMaUIY3Ihmr4tGh0nqSgVk8WMUt70LlCC59KbDaQU27Z0qSOX59Zty6JiST3dPgGfqzvgc3l8ozW9+91nGA7k2/Q4bBUZGXlBp9qEhAQCA61f2txaMpmM6QkTeHrrZw4f+9+MMhNL/f7gwbKbkeO5HXDkChmXTepEYIgvTz75JA8//DBfffUVb7/9NscbOWFpNptZunQpS5cuZezYscyZM4eRI0e6vDuWt1LDxyMeY0LEIJav20F3bQebArb/pkZFrCmaWFM046oGcVB9nK3e+0hVZlHXf+PY1v14Z+gsonw9P1TtTn0iO3Nf92v46OCP7i6lQXEBLXm67+3uLqNBAQEBDBgwgAEDBtS6vaSk5IIAblJSEgUF9XdCVLYJsHpeZxxX1Ufmd3ZpbYV146SWnaFcX0mAxv4LMQQH8vGpCana2E0yGngcOAo48rdQA5yLz58GvgPuAqyK0YZ5ZkCpPkdK9TyyM4fDJXqXzZlTbeLmjVncGB/I8z1t63K7Z88e7r//fnbt2tXotqNHj+bDDz+kU6dOTSnXIUK9lAxvobQ7YGwrs8nCyQPNM2wLcGJfNomj27ll7uFRUdwcF883aalumf8cuQS3ZwV6VND2nMNbMtD4qOjUt5W7S/EY+bpqcnVN74jsd/UkjKmplH/9LaHPPm31fqbcXAwpR/AePhS5T9OC6odLSuwL20pnL3J30vs6rVbL1Vdfzbp16+rd5v3332fWrFkND+TlBQ89BLNmwbp1NaHb336Dpqy6M2gQ3HcfTJkCGo394whCM2IymCnMKac4p4LiXC1FOVq0xXU/D3r7qQlp4U9olD8hLfwIaxmAl6/axRU7T3n6Yau3XXO8lHc25tZ535RuIdw9IIIdGRVsSi3nVJGezFI9ZglW31X/8Wx6sZ6v9xVyKKeKKoOFEB8FfWP8eHBwlA2Pof7PggVBEARBEARBEATBGUTYVhA8mLWdKCWLhPFYMco2AShCHNiRymxBVkeHonO3mc5orQrb6swGsiryiQ1ofFuh+TpSnI7R0vgys+c4enludbcIAucMuOD2quUnMB4pQt0zwqq6lK0DHRa2DQ4OpmvXrhcEa8NcHGa5ocNo3t27lEJdE5cGbUS66gwbvHcxsrq/U+dpih7D4ggM+ycs4uXlxV133cWMGTP4/fffeeONN9i5c2ej46xZs4Y1a9aQmJjInDlzuOaaa1C6aMlSfZWRPX+dpCRJzyCpl8PGVaCgt6EzvQ2dOaPI43u/1ZxW1YRdAtV+zB10L1Pbuz5c3Fw90edWVmfsdHpXaXvJkPHB8EfwUXm5uxS7BAcHM3jwYAYPHlzr9oKCggsCuMnJyZSUlKCIsC7A4bTjqnPjSxJYJCSDBVNqCdV/paPp28KmudLKs+kR3t7htQl2kMuhZ0/Yvt3mXedZsU3K2S+AXKAKOBfj73L2CyAJ+AnoQ03g9uDZ8dsDFy7YXY/eva3d0u1WZ2mZuS0HvcW6VUAcbWlqGTsLqlg2PIZo34YDhYWFhTz99NP873//q/n9b0Dr1q2ZP38+kydPvmRfb08fLUBfZXR3GXY7dTCXHsPiUKrcc6HpKz16kVVZycb8hlducKaRRT7EV3tuEGnfX6eIbBNEcISfu0vxCFlVVQ4ZR+bljd+UayhfuAj94SQ03axbOaFq3QaQJHxGjWxyDQ0+FkmCzEzYuxf27Kn589AhKC0Fna7mfo0GfH2hSxdITPznq2NHUNj3O11QUMD48ePZs2dPnfcrlUoWLVrEzTffbP2gMhmMGlXzlZMDW7bUflylpXXv5+VVc8xy7nENHAgecFGHILhKSX4Fx/dmk3Y4F5OVSyJUVxg4c6KIMyeKgJpfv+j2oXRIjKZFXHCzP14rz0hpfKP/eHRYFDGBtcP5ob41n4dtS9dyNL+atmFeqBQyThTq6h3nQHYlz/+ZRdcoHx4cHEmgl5L8CiOnGtinLlX5GRirtKh8XLcShCAIgiAIgiAIgnBpE2FbQfBg1SbrujRJFQYwmJGHOjYQoojyw3ikCHNxda0AiPFkzRKDUqXB6rGsfSxC83WwwPpOzE5Znttfjdy/9kldSW/ClFqKsl0wyijrTqYqW1vf+fAcPz+/CwK1Xbt2JSoqyiM+ePdX+/LGkPu5Y+1cp8+10mcTkaZQEozu6ejVkLhukXQZEFPnfQqFgsmTJ3P11VezefNm3nzzTVauXNnomHv37uX6668nPj6eRx99lGnTpuHTxI5MDTl9tIBdfx5HV+ncEEq0OZKHym5hl/9hYgeEcVvX8UT4BDt1zouNl1LNV+OeZ+Jvjzk96G6P1wfNZEAL60IQzUl4eDjDhw9n+PDh52+TJInc3Fwe3fA+a8sPNjqGs46rzjHsyUX7f//UobksGr+bE2waQxxXNcxgNnK0JIMTJZlUGqvRmY3IZOCl0BCo8SUhJI64wJbIZQ5a9j4x0a6wrTW+B176z21Tz/75AvDi2b+rgXXAB0AF0Bq4F3gSsLofaWJiEyp1nZ/Sy3hkZy5m9+Rsz0vVGrn679MsGx5D24ALg4Vms5kFCxbw7LPPUtLIEu1qtZo5c+bw1FNPOfU4ojnIPNa8lzI26EzkZZQS3c49qwBoFAr+N3AQN2/ZxK4i1/9bttApGVno2Z3XLRaJ7cuPcvm03sgVDnodaMZ0TemK+h++Y8dQueoPyr/+hrB5cxt9LyyZLVRt2IgyuiUaB4Q+63wshYXw5ZewYAGkNtL1Wa+v+dqypebrnJAQuP12mDkT2lt/sdPp06cZO3Ysx44dq/N+b29vfvzxR8aPH2/1mBdo0QKmTq35gn9CxWVlNV33LZaaDvw+PhAXBy66QFQQPIXFInH6SD7H9mZTkNn09+WSBFnHi8g6XoR/sDftE1vSvmcLVJrm+btVnpFs8z6xwRo6hNf9XvnhoVHIzz73f7Q1t96wrc5k4Y31OfRo6cPL41rVer0Y3d72Vb+0mUcI6djP5v0EQRAEQRAEQRAEwR7N81MAQbhE6MzWh1mdwWtIDLpNmWi/PITfTV2QB2jQ78lBv/fssp42hAj1bn4sgvMdLDhh9bauWp5bvycXSW/Ga5D1y4Q2FLb19vamc+fOFwRrW7du7RGh2oZcGT+Eq+KH8lvqJqfOY5FZWBzwG3eXTaWdqbVT57JFTIcwBk7s2Oj/k0wmY+jQoQwdOpSkpCTefvttvvnmG0ymhrs2p6amcv/99/PCCy8wa9Ys7rvvPkJDHRey0FcZ2b3mBOnJjum6bA05cgZoexC43wd5tAIu7eyPXdoGteL7Ca8xefmTlBkq3F3OeU/3vZ07uk5ydxkuI5PJaNGiBREto8CKsK2zqbqEEfjUQCRdzQUh1avT0FYY8b+3l9Wvee4+RvQ0lUYdK9O2sjsvhQMFJ0gpSsPQSLd9f7UP3ULb0jO8PYNa9mBUTCIKuZ2dKK0IqU47+9WY/y6C+iL/BGob0gHYaMV2DWoGnW1/P13OQztycXPO9rzsKhPXrc/k11GtifH7p8Pttm3buP/++zlw4ECjY0ycOJH58+fTrp3nXajkDkU52ibtf+uzIxrdZvKI27lm1DQAtJVl/LphCfuObKVUW4yPlx+xLdszc+oz+PnYfhEeQHGu1m1hWwAfpZJvBg/lrh3b2JBX93LPziCXYGqOPwo8+30RQHFuBSk7Muk6qI27S3E7g9m67o7WkKmU+N94PaXvfYBu23a8B13W4Pb6AwewFBfjd+stDpnfYPlX2HbnTvj4Y/j++5oAbVMUF8P8+TVfY8fWhG4nTWqw221KSgpjx47lzJkzdd4fFBTEihUrGDRoUNNq+y+ZDFp7zvtwQXCn8qIqtq84SkFWuVPG15ZUs++vUxzdlcWACR1pGR/ilHmcxVhZRnWhY1fikVv52ejmVC3FVSamjmzpkM9TyzOSRNhWEARBEARBEARBcBkRthUED6awstuWzE8NagWWomqHzq9s4UfAvb2o+CaZ0pe3AiAP9sJ3SicqvzuCPMj6pacd1jlM8FiZFdaFAJ29PPe/6bZmIfNSokmMsnofeYAGlY+GTm07XNCpNi4uDoWdy0d6gnmDZ7I1+6DTu2waZSY+D/yB6eWT6WyMd+pc1ohNiOCySZ2Qy217HuratSuLFi3ilVde4b333uPzzz+noqLhwGRhYSHPP/888+bN48477+SRRx4hNja2CdXXnMD565uDVJbZtpSeo5QVVrF6yX4um9SJuK6RbqmhOesW1pZfJs3jupXPeESH2xf638EDPa91dxluoZRZ9/ztrOOqc+S+KuS+Nd161B1DUYT7oP3fQQwH89H0su53TCUXb+MATpRksjBlJcuOr0VrsG0ZbK2him05h9mWc5hPDv1MK78Ibut8BTd3Gmd7J+9m0hG2Qe3aQaDtXaRcaXNuJbN25HhM0Pac3GoTN2zIZPmYNhhKCnjiiSdYsmRJo/vFx8fz/vvvM3HiRBdU2Tzoq4xNPt554Z6P67zdbDaz4KfXKSkvpEfH/gCUlBfy6hcPIVcouGr4rUSFtkJbVcaRtAOYzA0H9hvS1MCwI/golSy8bBAvHDzAktRTLplzeJEP0XpV4xt6iEOb0mnVIYygcM/uxOtsKhvfIzXGe9BlVP6+nPKly/Dq33DwqervdaBU4D18qEPmVsnlUFQEs2bBt986ZMwLrFlT89WvHyxcCF26XLDJzp07GT9+PMXFda/K06JFC1avXk23bt2cU6MgXOIsFolju7M4sCENs8lxFxTUp6pcz7qlh2jXswW9R7dF7QFdbi2ShbTyHA4VnOBAwQkytHnozQYMZiNKuRIvhYo4nZmGL4mob2wwW2ofkStsbJRwOKfmvZvFIjH79wyOFVTjpZTTJ8aXu/tHEOpr2/FEdVG2TdsLgiAIgiAIgiAIQlO4/52/IAj10iguXI60LjK5DHWnEAxJhZhLdCiCrQ/BNkbdNZzgucOw5FchWSQUkb4Yzna2VbW3PojgrdA4rCbBM+lM1nXZc/by3OeYciswpZbiNSQGmdq2gGxWXjYRfs2rI4U1wryDeHfYQ9y++hUkJ0dVjDIT/xfwE9dWjGWAvodT52pI5/6t6D2qbZM6ZcTExPDOO+/w7LPP8tlnn/H++++Tl5fX4D5VVVV88MEHfPzxx1x//fXMmTOHHj1s/3coza/gr28Poat0bxdLySKx9bcjGPUmOiRGu7WW5qhbWFuWX/U2t61+mROlju0cYy0vhZp5g+/j5k7j3DK/J9AorDth58zjqrooY2sCjub8Sqv3sfaxXKx25ibzxu6v2JztuE7FWRX5zN29mLf2fsOV8YN5qu/ttAmw8mKdLl0gJqZm2ebm6vLL3V1Bg0oNZh7akYPR+XkJu6RXGJn67SZ2P3QVWm3DQUtvb2+efvppHnvsMby8nPv80twU5TY9pNou5sLgG8CSFR9QUJLD9Ktm07ZVZwAWLX8Po9nA6/d9ia+3//lt+yY0LfhXnOMZ3ezVcgWv90pkfHQrHtu7m6wq2y5KsIXKAkOKm9cyCBaLRMqOTC6b1MndpbiVl4MvJpXJZATcchNFL79G1dq/693OXFaGbt8+vPr0QeGgiz28UtPg8vGQ74LVQHbtgl694OWX4dFHQVnzEfvatWuZPHkylZV1H9e1bduWtWvXEhcX5/waBeESVFWuZ/MvyU7rZtuQkwdyyE4tZvDVXYiIcf1FbJVGHT+f3MAvJzdwoPBEoxcjtqvQ2RW2fei3jAtuW3VHR5sCt4VVNRc1vfLXGa7oFMRtfcI4U2Zg0e5CHis4zadT4vBSWn8xiMXYxA7mgiAIgiAIgiAIgmAD0WpSEDxYsMa/8Y3O8r68pntkxddJSHVctS+ZLegP2XfCQSaToYj0RdnCDywS1esyUMT4o2pvfRgxUONn19xC82GwGN1dQi36rVkAaAa3snlfi+evfGq3K2IH8uaQ+10yl1lm4Tv/P/ki4AdK5a7t8OUX5MWYW3uSOLqdQ5akAwgODuapp54iPT2dzz//nPbt2ze6j9ls5ttvv6Vnz55cfvnlrFu3DkmyLuisLa7ir28Puj1o+2+7/jzBqYM57i6jWWoX1Iq/p3zIAz2udXm3976RXdhw7ceXdNAWIMTb+hOezjyu+i/jsZquZ4pw60NKvlyaFzFVGXU8u20Bk3573KFB238zWkz8dHIDQ3+YyZfJK7BIVqQ7FQq45x6n1OMyM2e6u4IGvbgvnzydufEN3eiod0uMZzum1mfKlCkcOXKEZ599VgRt61DsgLBtXbbsX8PaHb8wLHE8I/tOAqCgJJf9R7cxvM/EWkFbR6jS6j3q+G1IRCR/jx7HrXFtnTZHz3IvfCzN7yPGjJR89FWe9T7W1aK8Hf9cpOneHU337mh//AlJV3e36uoNm8BkxmfkCIfNG/DT764J2p5jMMCTT8KgQXDyJN9//z0TJkyoN2jbs2dPtm7dKoK2guAk2uIqVi/Z55ag7TlV5Xr+/vYgZ04WuWzOk6VZPLP1M7p/fQuzN73P5uyDVq36obTzGvzHh7fgw6vb1PqytbPtuc/FhsYHcGf/CHq29GVC52AeGRpFdrmR9Sdt+z+0WNkAQhAEQRAEQRAEQRAcQXS2FQQP1jXM+uXXVfHB+N3YhYqlKZTO3YbX0NYoW/ohmS2YMrXoNmeibOmHpnsEFq0B4/GaYIc5u+aEpiG5ELmfGrm/GlWHf0K0FctSUHUIQearwlJYTfX6DCwlOgIfbXg5wH+L8Am2fTleodmxdklrZy/PDTUhKN2ObBSt/FG1sb2bhFpxcb88TusygWqTnue3f+GS+VLUqbwZ9H9cVTmK/nrnL5XZsW80vYbHo7Sxo7G1vLy8uOuuu5gxYwa//fYbb7zxBrt27Wp0v9WrV7N69WoSExOZM2cOU6ZMQVFPJyldpeFsR1vPO/m/Y+UxNN4qWnUIc3cpzY63UsMLA+5gQtxlPLjhXU6WZjl1Pi+Fmmf6TeOurleikDvn96E56RZqfcjIGcdV1ZtOYzpZgqpLGPJgL9CbMZ4soXp9Bsr4INQ9IqyqzVJtokfrTvRJ7MOQIUMYPHgwgwYNIiTk4uvI/m87cpJ4aON7pJadccl8VSYdT2z5mOWpW3hv2MONd7m94w546SUwet7zdqOGD69zGWxP8Vd2BT+kuy80YYvAO19Ef3QPUkVprds7duzIhx9+yJgxY9xTWDNRrXV8UCI9+wQLf3+X+OhO3D7pofO3H0s/hCRJBPuH8vF3r7D/2DYsFjNtW3XhurF30b51QpPmrdLq8fK1bqUaV/BTqZjXO5Gb4uJYeOokv2dmorM4KMAuwdAyX8eM5WJmk4VTh3LoMqC1u0txm5bePoSoNRQbHNsVMOCWmyh44iksZWUoYy68ALZq3ToUYaFoejpuFZSqbtdQvH4bIbmnHDamVXbtorpXL+ZVVFDfUcDQoUP5/fffCXRQF19BEGorL65izZIDHnGxi9lkYcMPSQy9JoGYjs773CSnspAnt3zCqvTtdu1vsvO69NZBajqEN221sgCvms8n+rSqffzQp5UvMuBkYd0XatRHrry0V34RBEEQBEEQBEEQXOviThMJQjPXI6zxron/5jUkBmVcINV/pVO9JhVLuR4UchQRvmj6tcB7eBsATNlatF8cqLVv5dIUAJTtgwl69J+OTJYSHZXfHcFSYUDmq0adEIbPzN4oQq3/UM3Wx+HpCqtLOVZymgpDFTqzEZmsJtDkp/KhS2gsQTZ0JL6YeCutO5nsiuW5DYcKkLQGvMbb173JS+E5J8adZWb3a/BVevHY5o+QsLOdhQ2q5XqW+a9ijyaJobo+JBjaIndgg32ZXEbrTmF07hdDWHSAw8ZtiEKh4JprrmHy5Mls3ryZN998k5UrVza63969e7n++uuJj4/nscceY9q0aXh7//OcKkkSu/48TmWZbScXXEWSYPvKY0yKDvCoEElz0ieyM+umfMSXyctZmLySDG2uQ8f3UWqY0m4ED/ScSnxgS4eO3Zz1CG9n0/aOPq5SRvtjOFxA1S/HsVQaQC5HEeGDzxVt8R4di0xh3XOiObMco8HI9u3b2b59O2+++SYAXbt2ZciQIee/WrWyvbO7J5Ikiff2f8fru5e45PXqv7ZkH2ToDzNZMOoJLo8dUP+GUVEwZQosW+a64hzlvvvcXUG9yg1mntid5+4yrKYIDCPw9qcp/XgOAH5+fjz//PM89NBDqNXiNbMxJqNjuxdrK8t4/9vn0Ki9mXXjS6j+9X6lpLwQgKV/fkbn+J7MuvEl9AYdv6xfzOtfzubFez+hdZT9nWBfe3UuSl8LwcHBdX6FhIQQGBiIXO7abrDdg0OY36cfz3XrwfcZ6XyVeor0ygq7xpIBI6JacKNfS4qPZTq2UBc6vjebzv1jGl0No0iv41BJCcfLy6kym9CZzciQ4aVQEKhS0TkwiK5BQfipmlfgRyaT0T04mA15jj0eVcXH4T3oMqq3bL3gPsPRY5jOZOM3dQoyB/4ORBDAumlvMvaLhwgocu5Fbf/lXVHBemAMsPs/91155ZUsW7as1ns+QRAcp7Jcx9/feNaqQJJFYvMvyYy8oTtRsY5tQCFJEt8d/4tnti2g3FB3J21rGG3sRutIcSFebDhV/4oGti5QJVdemiu/CIIgCIIgCIIgCO4hk6xdy1gQBJczW8zEL5xClcmxHUZc7bHeN/FE31vdXYZdLJKF7TlJ7MxN5lDBSQ4UnuBMRUGD+8QGRNE9rD09wttxWYtuJEZ0ctgy9p7sgfXv8N3xv6za1phaQtnbu1B1DiVgZm9kyton2CSzBUNyIZrutbv8Va1Jo+rnYwS/OhRFWP3LbZd9vBfj0SJC5o1A7mvbyc4AtS8np/1wSfyfAazL3MsjG98ju7LQpfMGmwOYwBD6VXfHrLNiie56+PhraN+7Be16tsDbz/0frh8+fJi3336bb7/9FpPJZNU+4eHhPPjgg9x3332EhoaSkZLP5l9SnFxp07XuFM7QKU3r+ibUvM6sy9zLwuQVrD29u0lhwnZBrZjeZSLXdxhFoMbPgVVePLp9dQu5Va5b0tMZqtemUfnTsUa3i42NZfDgwefDt506Nb/jEUmSeGHH//j00M/uLgWFTM6Hwx9laoeR9W+0bVvNUtLNSXQ0pKWBh4bDPj9WzEv7Gz729kR5D4/l+lGDefPNN4mOjnZ3Oc3G1t+PkHbYMeFqi8XMm4vmcCT9AE9Me5su8b1q3f/7hq/54a//IzqiDXMf+D/kZzvAl2qLePTdW+jTZTAzpz5j9/yv/e9hjqYfbHAbmUxGYGBgvWHc+oK6wcHBDgvqSpJEakUFh0tLOFRSzKGSEg6XllBRx3FsKx8fugeH0D0omO7BwXQLCiZEo2HXn8c5vje7ybW409jbehIRE1TrtgKdjp9Op7O7qIhDJSVkVze+JLcMiPfzp3twMJeFR3BVTAy+zaDb3rykw3x47Ii7y2iSML2Cx9NCAfAvzGLCx3ehNLr+4sViYCiQfPb7adOm8cUXX6BUin4XguAMZrOFPxfuoyTPvgtHnE2lVjDhrj74BTkmbJ9bWcTsTR+w9nTjqys1JsBo5tND1l8ss+Z4Ke9szOXDq9tY1dn2o625LE8pZfVdnS6473Spnrt/SOPyToE8PKTF+du3pml5+a8zzBneglHtre8E3u6qh4ifcK/V2wuCIAiCIAiCIAhCU4hP+gTBgynkCrqGtWVXrueHrhryf698iHpEITfffDMREdYtkexuJToty46vZWHyStLKbTtxmF6eS3p5Lr+nbgagS0gs0xMmcm27Efip6w+INnfdw9pZHbZ1xvLc55hLdRiTC9EkRtkctD33OJpbGKkpRsYksnnqZzy3/XO+PbbGJXPKZXJu6T2WOX1uRYWSgjNlFOdoKcqpoDhXi7a4ut59A8N8CInyJ7SFPyEt/AiLDnB5R7CGdOvWjcWLF/Pqq68yf/58Pv/8cyorG+40UlBQwPPPP8+8efOYeff99Ime6KJqm+b00QIyjuTTpnPzeF73VHKZnNGt+zK6dV+ytPlsyT7IwcKTHCw4SVLRKarrueBGhoy2QdH0DGtPj/D2JEZ0ok9k8wtTulqP8HbkZjTvsK3pdLlV26Wnp5Oens7XX38NQFhYWK3wbc+ePVF5aMASagJgz23/nAWHf3V3KQCYJQv3r38buUzGlPYjLrg/KamAiTdJvMjtTGOxGyq00yefeGzQ1iJJLDlZ6u4y7DLji1/4fFJvd5fR7Cis7PBtjWWrF5Ccuo8bL595QdAWwM+nZiWEhLaJ54O2AEH+obSOakt69okmzW80Nd5dT5IkSktLKS0tJS0tzabxZTIZQUFBDQZy6wvsBgT8c/wsk8lo6+9PW39/ro5pfb4ug8WC3mLGZJHQKORo5AqU9RxzF2bX35nOGrc+e+Fz6n9NHnE714yaxiNv30Bh6YWB7JF9JzH9qtl211CYrSUiJghJkthZWMiS1JOsOnMGo2TbRYEScKpCy6kKLb9knualQweY2iaW2+Lb0iHA+tCQK505c4aja9dC6+bdEb+V7p+PuLVhrdg/5k76rvrI5XWEAKuB7sCMxx7jzTffFMfnguBESVsyPDZoC2A0mNmx8hijburR5OeClKI0pq56hvyqEofUVq5SUKxSEOLAlQXytEaOF9R8ppdTbgRgc2rN+9dIf9X5kG7rIA2TugSx4kgp3io5fWP8OFNmYNGeAtqFahgab9uKVQFtxIXggiAIgiAIgiAIguuIsK0geLhh0b2addhWMpo5+fcBZi/fzZw5c5gwYQLTp09n/PjxHhnwSC/PYf6+Zfx8cgM6s2OWH0spTufxzR/x0o7/47oOo3mk1w1E+YY0vmMzIEkSSUlJLF++nO93roLx/lbv6+jluc/Rbz8DFgnNYPtOFvYIs22Z8YtBgMaX94c/wpXxQ3h08weNdm9uio7BrXl/2CMkRv7T2SKqTTBRbf5ZVs+gM1FdacBsNGMxSyiUchRKOd7+alTq5nHoEhMTw7vvvstzzz3Hp59+yvvvv09+fn6D+1RVVaHL8cYUZn+nX1fb9ecJotoEo/HxvOfz5qiVfwQ3dBzDDR3HAGCymEktO0OZvhKdWY9ZsuClUOOt1NA2MPqivoDDWUbG9GF1xk53l2E3yWzBcKzYrn0LCwv59ddf+fXXXwHw9fVlwIAB58O3AwYMwMfHc36m3t231GOCtudISNy//m381T6MbVNz/GEyWZgxYwtff90dSRrEI3RhDGuJphl0ebz5ZrjySndXUa8teVWkaY3uLsMuW43+VJsseCs954Kg5kDhoH+v7Qf/5o+tP9C/2wjGD76uzm1ioto2MILU5ECMNWHbppAkiZKSEkpKbA/cyOXy8x11G+ug+99tAgICav3bmM0WSvObFnJ64Z6P67zdbDaz4KfXKSkvpEfHf97zdWjdlRuvmFlr2wDfpi3RXZyjZXX2Gd5MTuJoeVmTxvq3CpOJhadOsvDUSQaGh/N8tx50D3b/ZwFms5k1a9awYMECVqxYgUWtJvLzz5B7e7m7NLt1qai9ysmxy6bQOmUTkemHXF5LNLC5Z0+6vPWWy+cWhEtJca6WpG2n3V1Go3LTSzmxL5sOifavdrAv/xjXr3qWUr1jg8VpPmpCyuq/4N1WB3MqeWdjbq3bXv275n3RmPYBPDb8n4649w6MJMxXxZ/HSvk9uYQALyXD4wOY3jcclcK24zARthUEQRAEQRAEQRBcSSZJkv1r1QqC4HTZFQX0/nYaZhs7qngK3fYzVCw+fMHt4eHh3HLLLUyfPp1u3bq5obLaLJKFL5NX8MrOL6mqp4ugowRp/Jh72UyubT+iWXY40ev1bNiwgeXLl7NixQoyMjJq7lArCH1vNDJ583tM//b5qCeY3G64u8twG4PZyMq0rXyZvJIduUkOGVOGjFGt+zC9y0RGxSSi+Ff3sEuFTqdjyZIlvPXWW5w8ebLObaLCYnjr4SUurqzpeo6Io+tlbdxdhiBYRWuopOtXt1Blcv2ywo4wKLAzAzMi2bx5M1u3bqW0tNRhYyuVShITE893vx08eDChoaEOG98WG7P2c+3Kp90ytzX81T5smfoZu/8u49Zbq9Bqu5+/TyYr5t1R/+Phv55wY4VWiIqC5GQIcX/oqz53bD7Dn2c8t1NZY97tF8X18YEYdCYqSqsxmyyYTRbkchkKpRwvPzU+/ppm+X7AWZK3n2b/utQmjXE69xQvLXiAiJAWvHDPx3ip617m2GKx8MjbN+Cl8eb1B7883922pLyQx+bfwsDuo7hz8uN21zHztauoqLauE3lzIpfLa3XUbRvTiYmJdzhlriUrPmDtjl+YftVsRvadBMAjb99Aq8g4Hr31dYfOVe0j48XWF3bMdTSFTMb9HTvxcKcuaBSuf0+Um5vLl19+yRdffEF6enqt+wLvugPfcWNdXpMj+JvkPHkyFCW1n0/9is4w8aM7URrddNz3888webJ75haEi5zZbOGPL/dSmt/wSkKeQqlWMPGuPvgF1X1c0pDkojSu+n0OZQbHHxdPzi7l2pxSh4/rSl4hLRg6b527yxAEQRAEQRAEQRAuISJsKwjNwLQ1r7Iybau7y7BL6bztmNIb7gyTmJjI9OnTufHGGwlxwwn/9PIcHtown205F4aCnenyNgN4a8iDzaLLbX5+PqtWrWL58uWsWbOGioq6P+ANen4QypbWd7f1RDtu+B9tA+3vNnExSSlKY1HKSlalbyevyvZOijF+EVzVdii3db6CuMCWTqiw+TGbzfz666+88cYb7N69u9Z9N19xH5cPmuqmyuznG6jhqvsGIG/mQXvh0vH45g9ZlLLK3WXY5ddJbzCoZU2w02KxkJSUxObNm89/ZWc7tptqly5dzne+HTJkCK1bt3bo+HXRGioZ+sN9ZFU03A3c3Xyy4jn96nxAff62+PgtrFjRic6dw2D6dFi0yG31Neq33zy6q22J3kz3X09iaWafVsgliVidgVY6Iz1kFjpbLGhL6u8WpvFRERLlR2iUPyEt/ImKDULtdel2i886WcCG75Lt3r+yWstzn9xDUVked1/zJJGhdR/T+/sEEhkaza6kjXz03Uv06NCfUf2uRG/Q8euGryguy+flmQvq3b8xxeX5zHn/NvR6517E6QmG95nAHVc/5vBxt+xfw4KfXmdY4vhaoWdnhW0Bnm9fgF7hmiedTgGBzO/T1yVdbi0WC+vWrWPBggX8+uuvmEymOrdTtmlNxDvNsxPrqEIfxhb61Xlft/VL6PH3QhdXdFZEBKSkgJsuXhKEi9mRXZnsXXvK3WXYJKZjGMOu7WrTPmcqChjz80MUVNveyd4aPcuqePykZ7/vakxEr9H0nPmhu8sQBEEQBEEQBEEQLiEibCsIzcCmrP1M8eDuXvUxZpRR9vp2q7dXq9VcddVVTJ8+nTFjxqBUOn+5+F9ObuThjfOd3s22PkEaPz4f9SQjYhLdMn99JEkiKSmJ5cuXs3z5cnbu3Ik1Lxc+V7XH54qGlmT1bB2CYthy3QLRYawOuZVFHCw4wcHCkxwsOEFuVTF6swGD2YRGoUKjUNPKL5we4e1rvsLaEeod6O6yPZYkSWzatIk333yTVatWoVF58f6cH/D1rvsksacbfl1XWrUPc3cZgmCV5KI0hv94n7vLsFljr1GSJJGenl4rfHvs2DGH1hATE1MrfNu5c2fkcscs+37OY5s+ZPGR5hGG1i5+BP32sahUabz+eimPPtrrnzurq+GKK2DjRvcVWJ958+AJz+68uym3khs3ZNm1b/aNnazaLvS5xWi69MdcWoD2l0/RH9iEuaQARWAomq4D8ZtyP8ow6y4W8jOZ6autYkB5FUEm+1ckUSjlxCZE0CExmtAWzfsCNmsVFhbyxx9/sHLlSjau38xbs76xe6wjqQeY++UjjW43uNc47pnyJAB7j2zh9w3fkJmXikqpolNsD64bexfREbF219G6UxhDp3SlurqakpKSWl/FxcUX3FbX/QaDwe75XemGcfcwYcgNDh0zPfsEr3zxIK0i4nj2rvdRKf+5qOGRt2+goloLkoTRZCAytBXDEsdz+WVTzncnttf7scVke9UdRHUGhUzGvF6J3BQX75TxCwoKWLhwIZ9//jmnTlkXSAt95UU0nTs7pR5nkUvwxKlQgkx1//97VRQz+a3rUZhd939by513whdfuGduQbhISZLEb5/upKKkea1WIpPB1fcPwDfQy6rtJUniulXPsCFrv9Nq0pgtfHQoE5/mdoXbvyRMe53oy652dxmCIAiCIAiCIAjCJUSEbQWhGZAkiUHf38OJ0kx3l2KTG9T9Sf5qE+vXr7d535YtW3Lrrbcyffp0Onbs6ITqYHHKKh7f/BES7n0aVMmVfDZqDlfGD3FrHXq9ng0bNrBixQqWL19ORkaGzWPIQ7wIfnUYsmba4fL1QTO5s6vndnkTLk6HDx/m289/JSHKvc8BTdGybQgjb+je+IaC4CGu/P1xtuckubsMm7wx+H5mJEy0aZ+CggK2bNlyPny7f/9+zGazw2oKCQlh0KBB58O3vXv3Rq1WN75jPTZm7efaZnSBmaXKl46rb2PVsrEEBdVx0ry8HEaPhv90MnenuUDrr77illtucXcpDfowpYh5hwrt2tdw4kCt77U/f4ohZSehzy6qdbsyuh0ylZr8OZOQKsvxv/ZBlK3aYspOQ/vjR6BQEPH2SuQNXAgTrTcyrLSCrhU6HL0gfGhLfzr1bUVsQsRFdSGYJEkcPnyYFStWsHLlSrZv317ror63H/na7o6ynqLn8Di6Dmpj9/6SJNUZ1LU2sOvKoO5tE2cxZsBkh42nrSzj+U/vQW/U88rMBYQGRdS6f9Hy94hv2ZGIkJZU6rTsStrItoN/MajHGO6d2rTXj09al5DhY2zSGPZ4tmt3Zna07iKBxkiSxMaNG1mwYAE//fQTRqP1j0culzPovpmcGj7UIbW4SvdyDTdnN3yR5+DvXib2sO2fSzmERgNnzly03W3NZgtlBZUU5Wgpya2gusKAyWTGYpZQKOQoVHJ8A71quri38Mc/xEesiCI0WfapItYtc+3qZI7S9bLW9Bxh3UUWXx35g9mbPnByRXDb6SLGFWidPo8zqHwDGfrGBhRq6wLMgiAIgiAIgiAIguAIzm8bKQhCk8lkMuYOupepK59xdylW6x3RkflXPYdyuoK0tDQWL17MokWLrA5wZmdn88Ybb/DGG28wcOBApk2bxvXXX09goGM6ZS5MXsGcLR87ZKymMlpM3PXXPBiNywO3+fn5rFq1iuXLl7NmzRoqKirsHkulUjE8cQiVRHKc5rcEmY/Si+vaj3J3GcIlqFu3bozoZyL/dJm7S7Fb9qlidJUGvHztD9kJgivNHTSTMT/PwmRxXPDUmbqHtePWTpfbvF94eDiTJ09m8uSaIFRFRQXbt28/H8DdsWMH1dX1L3HfmOLi4vNd8AG8vb0ZMGDA+fDtgAED8POzrmO3JEm8vPNLu2txB7lPJYOfOV130BYgIAD++gsmTYJNm1xbXB2eBV4DVDNmEBMTw7Bhw9xdUr0OFdvfqUzdvmet7+UBwSCTX3A7gP7wNsy5GQTe/Sq+I64FQNOlPzJvP0o/egx90na8+465YD+lRWJMiZahpZU4trfzP4qytWz97QinDuYwYEJH/IK8nTST81VXV7Nu3brzAdvMzPovIk07c6zZh22b2pVYJpPh4+ODj48P0dG2/VtIkkRVVVWDYdyGAru2hDOBWl1nm8piMfPxdy9TXF7AE9PeviBoCzBt0sO1vk/sPBhfb3/W7viFywdNJbZle7vnV7rpGtxXkw6hkMu4u739FxkXFxezePFiFixYYHNX++joaO68807uuOMOoqNbMm3LOv4ucM5y5Y7mbZYxKa/x44zj/a9yX9hWr4cvv4THH3fP/E5QXWHg5IEcso4XUpJfgcVs/S+PUq0gJMqPNp0jiOsWiVojTk0Itju2N9vdJdjt5MEcug2JRaGs+why585svv02nXX7Csm59ktkLsiQ/hXu32zDti0HTRFBW0EQBEEQBEEQBMHlxCdagtBMDG/Vm9s6X8GSI3+4u5RGaRQqPhw+G+XZZRzj4uJ48cUXef7559m4cSMLFy7kxx9/tDrcsX37drZv387DDz/MNddcw7Rp0xg5cqTdyxb/dGI9T2z5xK59ncUiWbj37zfxU/kwMibRafNIkkRSUtL57rU7duygKQ3Ow8LCmDBhApMmTWLMmDEEBASwLnMv16961oFVu8bU9iMJ0Pi6uwzhEmSxSBTlWHdi49ZnRzS6zeQRt3PNqGls2b+aA8d3kpFzkryiLEIDI5j/2LILtk8+tY9tB9dy4nQyRWUF+Hr5ERfdgatH3EZctPUn/QuztbRqf3F2bBIuPl1D43m09428sedrd5fSKJVcyYfDZ6NSNP2tm5+fH2PGjGHMmJrwoMFgYN++fec7327ZsoWSEvsDNtXV1axfv/78qgYKhYJevXqdD98OHjyY8PDwOvfdl3+MQ4Un7Z7bXb4/sY7n+k/HX13PMURAAPz5J9xzD3z1lWuLO6sSeAj4v7PfG41GJk+ezPbt2522gkRTHS7Ru2ais79Xcp/aYS25bwAAMpXmgl1idAam5pcRaXTNkuS56aWs+Hw3vUe1pX3vls2my21mZiYrV65kxYoVrFu3zur3fjuTNjKg+0gnV+c8Gh8VEa2D3Da/TCbD19cXX19fWrVqZdO+/w3qNtZBt7i4GH9/6y6osMay1QtITt3HjZfPpEt8L6v3u6zHaNbu+IWTmSlNCtta3Pir9dKhgwSq1FwfG2f1PpIksXXrVhYsWMAPP/yAXm/986ZMJuPyyy/nnnvuYcKECSiVSkzGCrTFh3i6jZpdxTK0NgQo3eXKPH8CzI33Fc+P7UFpRCxB+enOL6oun34Kjz4Kdn6G5QkkSaIgs4xje7PJPFqAxc4l500GM/mny8g/Xcb+9anEd42kfWJLgiMc91wiXNwqy3ScOVHk7jLspqs0cvpYAXEJkZSX61m27DgrVxaxd6+GnJxYLJaWQEsCHngOtZdrjoezvdUk+3uRoLX/Yjd3iRl6vbtLEARBEARBEARBEC5BImwrCM3IiwPuYF3mXrIqPLtr6BN9bqVDcOsLbpfL5YwYMYIRI0bw0Ucf8cMPP7Bw4UK2bt1q1bjV1dV88803fPPNN7Ru3Zrbb7+dadOmER9v3fJbAMdKMpi14V0kPO/EUU2H29fZct1ntPANc9i4er2ejRs3snz5clasWEF6enqTxuvatSsTJ05k0qRJ9O/fH4Wi9smt4a160TG4NcdKTjdpHleSy+Tc0XWSu8sQLlHlRVWYjRartn3hnro7cpvNZhb89Dol5YX06NgfgC0H1lJWUUzb6E5IkgWzue5Q0N+7fqeiqpyxA6cQHdEGbWUZf2z9npcW3M/jt79JQtveVtVWnCvCtkLz8lDP61mZto2kolR3l9KgxxJvokuo9eEbW6jVagYMGMCAAQN4/PHHsVgsHDly5Hz4dvPmzQ12oGyM2Wxmz5497Nmzh/nz5wPQqVOn88HbIUOGEBsbi0wm48uUFY56WC5VaazmhxPrmZEwsf6NvL1hyRKYMqUmdJuX57L6ctq3Z/CJE/z3p7ykpITx48ezY8eOegPQ7mIwS2RWumYpd3XH3qjiEtD++DGKsGiU0fGYctIpXzYfVVwXNF0H/rOxJDG6pIJRJRVO62ZbH5PRwq4/T3D6WCFDJndB461ycQWNM5vN7Nq163z32oMHD9o1zv6jWykuLyAkwLN+Lq3VrmeLervVeTp7grp71pzg6O4zTZ57+8G/+WPrD/TvNoLxg6+zawx5E4PoJpl7PyN4ZPtWZl9zDaEmMyEhIfV+qdVqtm3bxi+//MLx48dtmiMqKoo77riDO++8k9jYWAAkyUKVNgNdZRYgEaFR8FR8IE+fKHX4Y3SkLlo1vcovvCCiPmc69Hdf2DYtDVavhiuucM/8TVSUo2XnqmMU59q/ElJdTAYzx/dlc3xfNi3jQ+h3Rftm3cVdcI3s1GJ3l9BkX7x/hA+X5lNR0QHodsH9ipiTqLvucWlNf0QENLuwbXj3EfhEXHj+QRAEQRAEQRAEQRCcTSY1paWhIAgutzFrP9eufNrdZdQrMaIjK696B4W88e4i5xw/fpzFixezePFizpyx/UTd0KFDmT59Otdee22DSxWbLGbG/zqb/QW2nZBytdGt+/Lt5S81qWtVQUEBq1atYvny5axevZqKCvtPiqhUKoYPH86kSZOYOHEicXGNB3525iYz6bfHPTLUXJcHe07l+f4z3F2GcIlKPZzLtt+PNmmMJSs+YO2OX5h+1WxG9q0JjlsslvMdwN/56imy8tLq7GxbVlFCoF9wrdt0+moem38zrSLieHLGO1bV0Kp9KMOvu/BEkSB4sqSiVMb+/BBGi2s6VNqqR1h7/rj6XYd0tbVXRkZGrc63KSkpDh0/Ojqa/iMHse2yCkwy6y488DSdgtuwaeqn1h27FRfDrFnwzTfOLcrHB+bNg/vv58mnn+aNN96oc7MBAwawbt06vL09J9xSbjDT+WfHdTku+fRJdDvX0GLRvjrvt1RXUPLR4+j3/bPEuLpLP0Ie+QC5XxAAMkni6sJyBpRXOawuewVF+DLqxu54+1kfMnOWsrIyVq9ezcqVK1m1ahWFhYVNGq9Tp05MmDCBod0nUm5/zt+trn5gAH6Bl85yxoc2p3NoU3qTxjide4qXFjxAREgLXrjnY7zUtj0fLfp9Pn/v+p1X7/+CNi3a2V3Hm/FFFKnNdu/vCIZjxyh87gWws2tofbp168bVV1/NhAkTiIyMJCQkBH9/fywWAxUlKZhNlbW2lySJh4+WsK7YMcGr7Gsb7zzoN/VaAq6fWus2c2kp+Q8/ilRRQfCjj+A9cAAAviYZD6eFWNXV9pw2h9Yx5PtXbCvcke6+GxYscN/8djCbLBzekkHytgxccfZAqVbQe2R8s+riLrjezlXHOLE/x+79nbFakK2y8nx46sN+ddyjJTj4BCEzvqOs/aEmz2MTSeLh1AL6lrr/WNcaCo0Pl734O96h0e4uRRAEQRAEQRAEQbgEic62gtDMDGvVi5cH3sXz279wdykXaO0fyZdjnrEpaAvQoUMHXnvtNV5++WX++usvFi1axC+//GL1MoibNm1i06ZNPPDAA0ydOpXp06czZMiQCz6c//jgTx4ftAX46/Rulh3/ixs7jrF6H0mSSE5OZvny5SxfvpwdO3bQlGspwsLCmDBhAhMnTmTs2LEEBATYtH//qATu7T6ZTw/9bHcNrtIxuDVzEm9xdxnCJaw4R9uk/bfsX8PaHb8wLHH8+aAtcD5o25j/Bm0BvDTetAyPpai8wOo6inOb9jgEwR26hsbzycjHufuveR53gUiMXwRLxj3n1qAtQJs2bWjTpg233FLzWllYWMjWrVvPB3D37duHyWR/WPnMmTOsOrMTP1lnR5XsckdLMtidd4R+UV0a3zgkBL7+Gu64Az74AH7/HSwODBkHB8P06fDgg3C2a+HcuXNJS0vj+++/v2DzHTt2cNttt/Hdd99Z/brhbHoHh8waIpmMlHwwG1PmCQLvegVlyzjM+Vlof/mUorkzCH12MQpvP64tKKOPttpldTWkNL+SNV8dYOytvfD2U7t0bkmSOH78+PnutZs3b27S7/+5i/omTJjAhAkTaNeuJihZpdXzy4fbXRLucqTo9qGXVNAWICSqaUu/V1Zree+b5zCZDUwcciNZeWl1bufvE8iprCPsSdlMzw4DCA2KpEpXwa6kjew4vI4hvS5vUtBWJ7dQrHJv0BZA3bEjvhMmULncsd3eDx8+zOHDh3nllX/Cpu3atebn794juuWFXaRlMhmvdwjinuQiDmib3mk8bG7dIVfJbKH0w48xFxfj1bvXBfeX/e9LZGpVrSM0jVnGjMygC4K2m/b9yRc/11xY8vSM+XSO71nr/qIW7WkHnAKGARvO3r4EWAXsB04ArYH0Omo9ADwDHAYKAG+gI3A/YNWnCXv3WrOVxyjK0bJ9+VFKCyob39hBTAZzTRf3owUMmNBRdLkV6lTUxA7LzlgtyFYtw6vQqMxYOE1MzBn697dw9dWRXH11O6qlDnT7+hi4+lpQmYwvW4fSSavD3+z5F0B2uHaOCNoKgiAIgiAIgiAIbiPCtoLQDM3sfg3l+kre3vetu0s5L8InmB8mzKWln/3LfSoUCsaNG8e4ceMoKSlh2bJlLFq0iF27dlm1f2VlJYsWLWLRokXEx8czbdo0br/9dlq3bs3R4gze3POV3bW52rPbFjAsumeD/556vZ6NGzeyYsUKli9fTnp6epPmTEhIYNKkSUyaNIn+/fujUNgWmv6vp/rexpqMnZwqa/qyos4il8n5YPhsvJSuDSoIwr+VF9sf3knPPsHC398lProTt096yGE1VekqyMg5Tpf43tbvozVgMppRqpr23CEIrnZ126FoDVXM3vS+u0s5L8InmB8nvt6k4ypnCQsL46qrruKqq64Cao6/du7ceT58u337dqqqbOuIpGp/Yei/udmRm2Rd2PacESNqvjIz4fPP4YsvIC/P/gISE+H+++H662u62v6LXC5n0aJFZGZmsn379gt2/fHHH3nqqafq7X7ragoXNrOrWv8T+gObCHv1B9Rtz3Zn79QHdcdE8h8eQ+Wqxdw0/FaPCdqeoy2uZt3Sg4y+pScab5VT5zIYDGzatOl8wPbkyaZ1HY6MjGT8+PFMnDiRMWPG4O/vf8E2Pv4aYrtGkna4Cb8TbtC5fyt3l+ByIVEX/v/Z4nTOKQpKajoUfvbj3Hq3G9xrHKP6XUlVdQXfr/0fFdXlKORKWkXEcvukh2tdcGaPMxoTkoc00gy44Xp0e/dizra/c2Nj4mKj+e3HD4iKDK13Gx+FnI+6hHLHwUKO6ZqW+lJ36FDn7WX/txBzfj6B99yFun3tsHT1jp3oDxwk8M4ZlH70Sc04FhnTsgJppa//ec9L48PGvasuCNvu1hZxCvjvT+xXQC7QD7AA9UWLS4EY4EYgGqgEvgFupSac+2y9FZ11+DAYDKD2/M8eTh8tYMuvKVjM7rniITe9lD++3MvIG7oT2tK2C7+Fi5vZbKE0v2lh23YxdR+vL1nxAQUlOUy/ajZtW9VcBDjn9jcvWC3IEeRy2LL+DH0GxQG1Vw/78tBaqk3WNZ9wtHKVgkWtQ3gwrWkrFThbSOeBtBp6nbvLEARBEARBEARBEC5hImwrCM3UnD63oFaomLt7sbtLIcYvgh8nvk58YEuHjRkcHMzMmTOZOXMmycnJLFq0iK+++oo8K0MIqampPP/887zwwguMGjUK4/VtMHjoEtF1KTdU8ubeb3hv2MO1bi8oKGDVqlUsX76c1atXU1Fh/4fMKpWKYcOGMWnSJCZOnEh8fHwTq67NW6nhw+GPcuXyxzFZ3N8lqC6zek6ld0RHd5chXOLMJvu6hmgry3j/2+fQqL2ZdeNLqBwYGl+8/H30Bh1XDrvZpv3MJosI2wrN0q2dL0etUDJrw3wskns7+TjjuMqZfH19GTlyJCNHjgTAaDSyf//+8+HbLVu2UFRU1OAYytaBNs1pytJS/Xc6xuPFWMr0oJChiPBF0ycKr8GtkPuqMZ4sQbf9DKbMcszZWjBJBL86FEVY7SCqOa8S3eZMDMeLsRRUgUyGIsoX71GxaBKjrK7pYIGdAcSYGHjlFXj+edi3r6bz3Z49NX8mJ4O5jmMof3/o3bsmYJuYCH37Qvv2DU7j7e3Nb7/9xoABA0hNTb3g/jfffJO2bdty99132/c4HMhL4boOu8aMIyBXoIpLqHW7MjIGuV8QfmlHGdzLM5fTLcmvZPuKowy7tqvDl9vOy8tj1apVrFixgrVr16LVNq17fWJi4vlVMxITE63qopw4qi3Zp4rRVzW9q6YrtOvZgqg2zf/CAVv5+Gvw9lNTXWGwa//O8T356tX1Vm//5Ix37JqnMWe8POezAplGjf+1Uyj94COnjN8iKoyfv5/fYND2nEClnLn+ITxWXEKaj2N/F6s2bqLyjz/xGTUC3zGja91n0VZQ9r//w//GG1CEhQE1Qdu7TgfRWtfwBQYDuo5g26G/uF33EN5evudv37h3FX00PlTraz+nrwbOPSNNBJLqGXf42a9/mwikAZ9jRdjWYICkpJrXbw+WejiX7cuPur2zuL7axF/fHGT49d2IbB3k3mI8mEFvoiSvAl2FAbPJgsUiIVfIUKoU+AZ6ERThi8KFx1XOVlZQ6ZQQeFNXC7KHn7rusX86af1rojPsCPalb2kVA0o88/hX6e1Pwm2vOPzYVxAEQRAEQRAEQRBsIcK2gtBMyWQyHul9AyFeATyz7TP0ZvechOwZ3p7FY59zaue1hIQE3nrrLebOncvq1atZuHAhy5cvx2hs/DFLksS6/VsJvkaBTN68Poj7+eQGXug/gzMnT5/vXrt9+3akJpz1CA0NZcKECUyaNImxY8cSEODcLiF9ozrz8YjHuPfvNz1uee4p7YbzVN/b3F2GINgVtrVYzHz83csUlxfwxLS3CQ2KcFg9P/71JdsO/sVtE2cRF21bGN1stNSsqSoIzdD1HUYTpPbjwQ3vUqJvWrDMXn0iOvF/Y572yI621lKpVPTr149+/frx6KOPIkkSR48ePR++3bx5MxkZGee3l/mqUIRa/8Sh25xJxdKUmkDsmDgULXzBLGE6XYZucyam1FICZvbGeLQI45FClDEByL2UGI8X1zmeIaUQQ1IBmv4tUbYJBIuEfk8O2i8OYM5th88E65YlP1R4wurHUCeVCvr3r/k6/2B1UFIC1dVgNIKXF3h7Q1hYTUssG4WHh7Nq1SoGDhxISUnJBfffd999tGnThnHjxjXlkTSZl0KGl0KGzgUd9RTBEWAxY0w9jLpdj/O3m3LSsFSU0sU7yOk1NEXW8SLSk/OJ6xrZpHEkSWL//v2sWLGCFStWsHv37iaN5+vry+jRo5k4cSLjx4+nZUvbLx7w8lXT7/L2bP45pUm1uIKPv4beo9q6uwy3CWnhz5kTDV9U4emyvD0r1O09cADlixZjKXfs8YhcLud/C16idUwLq/dRGeTMyAxieaSWXUE6h9RhTE2jbMEXqNq1JfDOOy64v+zLhSgiIvC9YhyGlCMAjC3wpXVo4528B3QfybZDf7H90N+M7HclULNqx+6UTbwc3oavso/X2r6pUbowIN/ajffs8eiwbcaRfI8I2p5jNJhZ/91hRt/Ug7Bo0eEWoKyoijMniijO1VKUo0XbyCo5coWMoHBfQlr4E9rCn9Ydw9H4OLcjvjM54wIcZ60W1Ji6HovebCC5qOndc625MLF6XTr63TmY86uQ9Cbk/hqUbYPwGd+WBbFhBBnz6FThng679ZGrvOj14Gd4h0a7uxRBEARBEARBEAThEifCtoLQzN3eZTyXtejGrA3vsif/qMvmVcmVPJ54Mw/2nIpS7pouhiqViokTJzJx4kQKCwv59ttvWbhwIQcOHGhwP68hMc0uaAtQbdLT7dbhnPlxf5PGSUhIYOLEiUyaNIkBAwagULi26+Q17YZTaaxm9qYPXDpvQ8bHDuTD4Y8il108HT6E5ktux/PTstULSE7dx42Xz6RLfC+H1fLzusX8tuErpo6+gzEDJtu8v9yVa3/Xw2gyUVRaTmFJGYUlZVRUV2M2W7BYLMjlchRyOT7eXoQFBRIWHEBoUCAadfM94Sg41rjYAWy+7jPmbP6IVenbXTavRqHiyT63MbP7ZBQuOq5yFZlMRufOnencufP5rqmZmZnnu97+lbGLC2OfdTOmllCxNAVV51AC7u2NTPXP67i6Sxjeo+MwJNcse+o9vi0+E2uCslVr0uoN22r6tsBreOta3ZHUXcOxVBqpWp2G99j4WvPUJ708l1K9liBN05ZUr8XLC1pYH4iyRseOHfnll18YM2bMBReumc1mpk6dypYtW+jevbtD57WFXCajc5CG/UWOCXU1xGf4NVT8sZji+bPwv3omypaxmPKzqPh1ASq1N+P6NG1pelfYvfoEkW2C8PHX2LRfRUUFf//9NytWrGDlypXk5DRtyfrY2Njz79WGDRuGl5dXk8YDaNM5gtOdC8g4UtDksZxpwISOqL0u3Y/XWsYFN+uwrRmJVAd3bW0qmUqFz8gRVPz6+wX3+fj4MHDgQHr06IFaraa4uLjOr7pWwbnnrqkM6Gfb87vZBGpJxpTcALqVa/ixhZYylf2rAJjLyyl+6x1kXl6EPDYbmar2cbhu7z6qt28n/M15KGVyupd5sRoIMll3fOTt5UvfhKFs3PfH+bDt9kPrkMlkXBHa6oKwra0sZ79KgB+o6YxrdQ/iJj7POlNueglbfz3iMUHbc0wGM+u+O8Tl03oTEOLT+A4XIYvZQtaJIo7vPUNueqmN+0oU51ZQnFvByf057F59gtiECDr0jia0pX+z6w5q76pA9XHmakGNqeuxHClOx9jEVdmsvTDRUmlEnRCOYpw/ch8V5sIqqlenUvrGDnhqIG+3i+Sp47m0rbKvc72jyVUaet73EcHtPPeCBUEQBEEQBEEQBOHScemeDRCEi0j74BhWXPU2nx76hXl7lji9y22PsPZ8OGI2nUNinTpPQ8LCwpg1axazZs3iwIEDLFy4kG+++ebCZYqVcrwGtXJPkQ5Q2dUPfrRtH5VKxbBhw5g0aRITJ04kPj7eOcXZ4NbOV+Cl0PDghncwu3l57mvbjeCD4bNRKcRLoOAZFErbQt/bD/7NH1t/oH+3EYwffJ3D6vh53WJ+WbeIySOnceXwW+waQ27jY3GUyqpqjqVnkpaVS6n2wmBBXdKy/jnZHeDrQ5voKDrFxRDg59vAXsKlINInhEVjn+Pnkxt4auunTu9y2yeiEx8Mn0374BinzuNJYmJiuOmmm7jpppv4+OCPvLjj/6zar+qPVAD8bk6oMwArU8rR9Kjp9G3thVZyv7pPqqtiAzEeLkCqMiALtC40eKQ4g4Etulq1rTsNGzaML7/8kltvvfWC+7RaLRMmTGDnzp12dSN1lO7BXi4J2ypCWxD+6g9of/6EiuVfYC4tQBEYRmRsV2bdcCMtwls7vYamMuhM7PrjOMOmdm00NJOWlsbKlStZsWIF69evx2CwP0ChUCgYNGgQEyZMYOLEiXTu3NkpoZ2+49pTkFVGldYzwh7/1aF3S1q2DXF3GW4V1y2KfetTa1Y4aIaS/fVolZ5Xu8+YMVT8vhwsNenHAQMGcM8993Ddddfh49N46NBgMFBSUnI+fFtVWULPBNu7g/47fNmhSsMjaSpWRVTY1eVWMlsomf8+5qIiQp9/BkVYWK37LZVVlC74Ar+rrqJNRDzXpQdQWpbNahvnGdZ7PHO/fISsvDRaRcaxae8f9EsYjo8DloS/D1hw9u9q4APgHmt31jn/dc0eBp2JbcuPYrF4WNL2LEO1ie3LjzLm1l52XajaXJlNFo7szOTYnjNUVzjmNdBilkg9lEfqoTxCovxIuKw1rTuFN5vQrSN/Rp25WpB181/4WA4UNG2lDFsuTPSd1L7WvqoOISjjgih9aQv6XTkor2zP6x2imH0yjy5u7nCr8PKl1/2fENKxn1vrEARBEARBEARBEIRzRNJIEC4SCrmCB3peyxWxA/jk0M/8eGIdVSbHfhjWJSSWGQmTuLnTOJd1s7VGz549ef/993nrrbdYsWIFCxcu5I8//sBsNqPuGYnc33WdCRxNGeWLqkNIvd3YzgkNDWX8+PFMmjSJcePGERDgeUvsTe0wkjDvQGZtmE9ules7HynlCh7pdQOPJd4kOtoKHsWWZRxP557if7++TavIOO6c/LjDavh1/RJ+WbeIq4bfyjUjb7drDIVSjlLlutcGSZLIKSjiyKkMMnLykZrQhqm8sorDx1M5fDyVVpHhdG7bmlZREcibyUlHwfFkMhlT2o9gSHRP/i95OV8d+ZOCamv7r1onMaIj0xMmcm27ERddN1tbVBgaXv72HMkiYTxWjLJNAIoQbydXBcZjxcj81chs6BZaYaxyYkWOdcstt5CamsoLL7xwwX1ZWVlMnDiRTZs24efn54bqoHtI07uinhM8cx7MnFfv/cqoNgTf98b571UWiacy8vD10NBRXbJOFJGbVkKL+NqhT5PJxPbt21mxYgUrVqwgJSWlSfOEhIRwxRVXMGHCBMaNG0dIiPNDpl6+akbe2IO1X+1HX920bm+OFtMhjD7j2rm7DLdTeymJ6xrJyf2e27WzIduDrHsdcjVlZARBfftyU2If7r77bnr06GHT/mq1msjISCIjI5EkCW3xIUxG2y8g+u8hivf/s3ff4VFU+x/H37M9vfcCCRAglNB7R4pAREFUVBSxINd67f7Ua7n2a8WGFQUUUUGRXqX33hMghCRAei+bbfP7IxCBtM3uJpvgeT1PHsjszDlnA5md3fmc77EomJjuSd88F7Z7l7HfS4/RyrfXhfPmYTh8BM+77kTbserklML5P6NWqJja5WbaH1ejRE/6xesEg1FPSVkxrjq3OoOB7aLiCPQNZdO+FQzsOpqkcye4/foZKHdVrRRcX/8H3AdkAkuAh4ES4ClrDrZjgkND2rfuNKWFTWu5+KtlpRWSsDuN9r3/GZPTss8Xsn3JCQqyG+7aMje9mM2LjhER40+v69vg4l6/CvnOUN+JyrVpqNWCrFXdczmYdcquNuszMbE6lz4/ly6uWFSmVPBumyDuSs1lWLZ1k5odzS2kFZ3u+x+eEe2d0r8gCIIgCIIgCIIgVEeEbQXhGtPKO5z3Bz3Ky73vZcHJtcw+uoyT+ak2t6dWqIiPHsA9sWPpHdyhSVc70Gg0TJgwgQkTJpCens68efP4+OximmbtEOup21Yfto2NjSU+Pp74+Hj69OmDUtn0gzpDI7qz+ZYveHHbVyxIXNto/XbwjWLm0Cfo7C9uhgtNj2+wO8lHM+vcr6SsiI9+fAmT2cC4gZNJyzhT7X4erl4E+YVxLjOZc5lnASgoyqXcWM6uIxsBCAtsQVhgSwCWb/mFhetm07lNL7q07cOp1CuDOK0jYq16Hj6Bbo1WaSg7v4Atew+Tk1/o8LbTMrJIy8jCy92NAd07Eexfd5BIlmWK8/XkXigiN72IshIjZpMF2WJBoVSgVClw93bBL8Qd32APdG7NdxLIP02gqw/P97yLJ7tNZtmZbcw+tpTtF47Y3J5OqWFC6yFM6zCOuIA2dR/wD1Buti54IhcbwGBG4dfwQVv9llSMibm43dLO6gq5AOWmprUMeV1eeuklkpKS+OGHH6o8tn//fiZPnswff/zhlGvMTj7OC3zEFZc1q6DtJQl7zxES7Utubi4rV65k6dKlrFy5krw8+yYKdOzYkXHjxjF27Fj69OmDStX4HyN5B7gxbHIc6346iEHfNAK3odG+DLipPQoHVMq8FsR0C22WYdsMjYkk16rn7tK/NpD/2RegVhM480NUAQFXPJ79n1exFBUS+OH7ldssej3Ff/xJ2dZtmLOykHQ61C0i8X7wAVQhITaN79lZs3iui/0hMIM+26agLUBNLwGh5WomZqgZk+XOPi89O7zLyNSaa2yndMtWSpYsQ9evL+43xF/xmItZoluBjn2JFzidncmnL91e5fgvF1ZMmpj1whLcXGqfCCJJEoO6Xc/q7YswmAwE+0fQtmVnlNvquWxQNSIvfgGMufjn88DdQEC1R1xG2/TCjOeTcjl1oHn87h7YcIaw1n54+tVd2bm5MpssHNqczLHtKdgxl7ReUhOzyUjNp+eoNrSMDWzSn/s6KmzbUKsF1Ud1zyW50PbfRVsnJsoWGcwy5pxSSn9PRPLQoO0bVvm4UaHg2xb+7PJx477kbPyNNZ/nHUpSEDXqXqLjH0KpbnrnTkEQBEEQBEEQBOGfTYRtBeEa5al14/6O47mvww3sz0pkb+YJDmad4lD2KRLyUrDI1S+T6KVxJy6gNXEBbYjzb0O/0E4EuHg37uAdIDg4mKeeeooVC89yKNv6ygCmtCLK1iVjTMzFUlAOSglloBvaHsHoBoSjcNNgPJWHfvs5TKmFmM8XgUnG5/VBKP2rfuBvKSindPlpDEezsBSUo/DQoG7nh+u41lZ/+KmKrKhSq1arGTx4MOPGjSM+Pp7o6Girn1dT4q314NOhT3JD9ACe2DSTjNLaq/baQ6VQ8niXW/l3t9vQKK2vHioIjck32MOq/VIunCYrr+Lmy6zf3qxxvwFdRzF94nPsPLyB3/+6MkD1yc+vAHDT0LuZMHwqAPtPbAPg0MldHDq5q0p7c1//y6rxJZ1L4PBhDR071r2Mta3MFgsHT5ziwInTdlWytUZBcQnLNu4gtlVLenSMQX1VuKi8zEjS4XTOncwhN724XuEfV08tfiEetOwQSESMPwqlCOo0dRqlmptaD+am1oNJLrzA3owTHMw+xcGskxzKPkWxsfqqeGHuAcT5/31d1TOoPZ5at0YefdPW1CKNhiNZFP98DE23IHRDW9TrWLnJPZvaSZLEV199RUpKCn/9VfVcv3TpUh5//HFmzpzZ6MGLdl5agnRKMvSNdEP/Mn0Km0+F4sulJmZz/YhxrF6/Aoul+vd61tBqtQwbNqwyYNuiRf1+DxqKX4gHI6d0Ye1Ph9CXOLc6ZGT7APqPb49SvH5X8g32ICDCi6zUAmcPpV62+ZRBbac3o5Gi+QvwefThWtuxlOnJeeVVzHl5uN84HnWLFsilpRgSEpHLba8YmlBaYvOxlysvtT3A5VrHojkuFgX981zpn+dKodLMOZ2JNJ2Jczoj53Um9AqZktRkCr74EnVEBGEPzCCoVE2YXkW4XkWYXk2AQYkCibjrH6G07MrqiWfTT/Hj8s+4adhU2reMQ6ex7nOUgd1GsXDdbNbvWsKk6+4FwCMnzaafQW16AbOAJKwI2+ocV7XdEUwGMzuWJTh7GFYzmyxsX5bAyCldmnQg1FYlBXr+WnCY/CzH/N7Xh6HMxNY/jnPuZA59x7VzaAVZR/JwwOoWDbVaUH15+FR9Lno7VqizdWJizqNrwFRx3agMcsXriV7Vfl592NOF5zqEcXtaw1e5dQtpRcepb+IV1blB+xEEQRAEQRAEQRAEW4mwrSBc4yRJoltgW7oFtq3cVmLUc7bwAnqzgTJTOSqFEp1Si4/Ogwj3pl3FoD7KzQaO5yZbvb9+cyrF84+hDHbDZUQUyhA3MMuYUgrQb07FlJSP54xuGE/kYDyejSrCE4VOVW3VWQDZaCH//Z3IpUZcx7VBGeKGOaOE0qWnMB7LxvuVgSh0dZ+G3dsG8fWCBYwaNQovLy+rn09TN7JFb3bc+jW/nlzPd0eXciLvrMPa9tF6cEe7UdwdO4aWnrZVERKExmJt2LZ9dBerg68AE4ZPrQzU1uaF+z6yus3aLPh9Hg+9tILo6GjGjx/P+PHj6d+/v8Mq4OXkF7Jpz0FyC2yrymWrY6eTSU3PZFCPzgT7+5JzoYjEvedIPpqJ2WRbmKm0sJzSwnJSE7JxcdfQpmsorbuG4FqP5eoF52npGUJLzxAmthkKgEW2kF6SQ5mpHL3ZiFJSoFWq8dK646urI6EioFNaV+lZcteARoklp+GW+zYczaLwy/2o2/vjMS2u3tfEOlXzq1qt0WhYuHAh/fr148SJE1Ue//TTT2nVqhWPP/54o45LqZC4o5U3HxzNadR+w/UGIsqbV4XiSyQk3AmyKWgbGhrKuHHjGDduHMOGDcPNrWlOCvAOdGf0Pd3YvuQEGWfzG71/SSHRaUALOvZv0WjV/JuTniNbs2L2vooqec1AmtbILu/aX1O0XbpQtmUL7jeMQ92yZY37Ff38M6Zz5wh4/3+ogoIqt+t69rBrjIfy7atMDWAylmAy2r4ahJe/9f/XPc1KPEuUtC/5+5q2pKyIlz7/EMlo5N7eUwjaXgT8fT1/6TsPVy9ahNS8Ek14YEvaR3exeiy+ngGMHXAr57NTGNhtFEqDHq8sx33mcMlfgAKwaip0E5m8cMmZIxmUFtoe7nOGrNQCslILCIz0dvZQHKowp5S1Px10+r9H8tFMysuMDJ7YEZWm6ayeJcsyhw8fZtXKVXgbYnHR2Had0lCrBdnCN6Tq50B6K1f8cCTvZ3ojm2TMWaXo1yVT8OEuvB7viSq06vjKlBVVbtcGeHBdVhH9ckvQOfA137t1dyKGTCao2wgUzfB9lSAIgiAIgiAIgvDPIcK2gvAP5KbWEesX5exhNLgTuWcxWqyrNGhMyqN4/jHU7f3wfLAbkvrvKg6aWH9crovCcDQbAJcxrXAdV3ETqHT1mRrDtsZTuVgyS3Gf0hFd//CKjW39ULioKPr2EMbjOWi7BlV77OUMGpmBY4fh5XbtBG0vcde4ck+HcUyNHcuO9KPMPrqUpWe2Wv3vdrVugW25J3Ys41sNwkUlQmtC86DRqfDwcaEor+ECZI0h+XwiAElJSXz44Yd8+OGH+Pn5MW7cOMaPH8/IkSNtDu+kpmeybsc+zGbbK/XZo6iklBWrd+Fb4k1Rpt6hbZcVGzi0OZnDW5KJ7hRMt+taoXURlbibE4WkINS9zlpmQg3craxQJykkNO18MRzJxpynR+nj2OpwhqNZFM7aj7qNL54PdEWyoaKXu7p5Lmvs4+PD8uXL6dOnD5mZmVUef+KJJ2jZsiU33nhj/Rq2WCAxEfbtg7NnoawMystBowEXFwgLg27doH17qGZixu2tvPj4WA7mRsztNdeqtpcM6TGW39f/gNlSe0VgSZLo1atXZfXaLl2aT5VAdy8d190RR+Le8+xbfxqzsXGuDXyC3OkX3w6foNqXr/8n8w32oGO/SA5vcXyg0dFMyPwaUoiljv/27jfGY0xKonDeT/i9+H/V7mMpL6d03Xp0fftcEbR1hPSyMrL0egLsqIhqT1VbAK2LhM4N9DYW26zv6hyOdOuoByr/7pNyFEU1kxGOXfwCSAdKgd8ufh978QvgAcCTikq2QUA28CuwAHgaK6raAsOefhrjN98QHR1NdHQ0UVFRlX8PDg5GoWi8aqKyLJOw91yj9edICXvPX1Nh26LcUlbPPeD0qu2XXEjK469fDjPstk4oVc4L3Obk5LBmzRpWrVrF6tWrOX/+PABP3fU2cTG9bWqzoVYLqi+1RolnNdVjVQrbf962TkxURVZ81qyO9kYTF0jeS5so/eMknv/qVuMxZ121fNtCy/wwHwbmljA8q4gwvW2T1ZRaV0L6xBMxeDIe4W3rPkAQBEEQBEEQBEEQmgARthUE4Zp1NKf6CgXVKV2RBID7HR2uCNpeIqkUaOMCK/5uZRUj6eKyotJV1WuliyGq6vqpyZGcJELc/K3ev7mRJIm+IR3pG9KRMlM5x3LOVC7PfTD7FMmFFyg3GzBZzEhIuKg0+Om86BzQ5rLluVvj53LtBZKFf4bQVr4k7GmeNzsBcguySK2mKkxOTg4//PADP/zwAzqdjhEjRjB+/Hji4+MJDAy0qu0zaRf4a9cBZNlJVdJkUOaoUGarKcKxQdsrupHh9KF0zp3Opc+YGMJjrt1zviBcrp1PS6v3dRkdjeFINsXzjuA5o1uVQKxstmA4mo22s3Xnl0sMx7IrgratfPCc0bVe12iXa+fTtCrW1UdUVBR//vknQ4YMQa+/8lwnyzK33347GzdupGfPnjU3Isuwaxf88gvs3g3790OxFcvMurhAXBz06AE33QRDh4IkEeKqZlSYO8vTGnap2su1LmsaQRdbebn7EhbYkpT001Ue8/DwYNSoUYwbN47rr7/e6tfhpkiSJNr2CCO0lS87liU0aJVbhUKi44AWdOwXiULZNJfVbko6DmhBWmI2eZmNvwx6fazzLyFdV3soHUDSueA+cQKFs7+n/PARtJ06VtnHeDoJWV+OKjiE/K++oWzrNuRyPerIFnjcOgld95oDS9ZIKCywOWwrW8yU66tOoqgvLz8JfYlt1+L1XZ3D0cdf4ntxYuDVfgFevWrbpIt/vgy8cvHvfYHZwA9APuAOxAFzgTut6L8E2JSVhTkriy1btlR5XKfTVYZvLw/hXvre3d2xQf/sc4XkN/Hf05qknsiirLgcF/fmP8G6tLCctT8dajJB20syzuazadExBt/codFC4CaTiZ07d7Jq1SpWrlzJnj17qv0M4My5BJvDtg21WlB9+QS7VzvJSae0/f+0IyYmKnQqlMFumK08N5SqlKwK9GRVgAc+RjNRpQaiSsuJKjHQW3LHVFqIxVhRrVlSqlGqtbgGR+PVsgOekR3wbNEBt5BWKFRisrEgCIIgCIIgCILQvIiwrSAI16xCg3UfDsoWGWNCLqoWniirqSxgK1Urb1SRnpQuO4XCzwXVxQ8sSxYnooz0RN3ez+q2igzNu8pWfbiotHQPakf3oHZVHjNbzCgkRbOpvCUI1mrTLbRZh23X716CLNdeWU6v17NkyRKWLFmCJEn069eP8ePHc+ONN9KmTZtqj0m9kOnUoK2kl1Bd0KIob7xwjb7EwIZfjxDVMYgeI1uLKrfCNS8uoOYlo6+mjvbBfXIsxfOPkf/mNnSDIlGFuiObLZhSi9BvTkUV6o62cyCWIkPl6gPm8xXLVRuOZqNw16Dw0KCO8QXAeCqPwi/2ofDU4nJ9NKbUoiv6VIa4o3Cp+21zC49gfHRVl1ttTnr37s28efOYNGlSlfNuWVkZ8fHx7Ny5kxZXL4NdWgrz58Pnn1dUsa2vsjLYsaPi69NPoW1bmDED7r6be9r4NFrY1s1sxsdUd/iuJlNeHFrnPjcNvZv2UV1487t/17jPsJ7x3DP+CZvHERXWtjJs26ZNG8aNG8e4ceMYMGAAGs21tSSvh48L190RR1ZqAQl7z5NyIgvZQcsZu7hraNMtlNZdQnD1aP6BrsaiVCroG9+OlbP3YXHg0tKOlKY1ssHP+vfXbiNHULJ8BYXzfsT/7TervBe15Fa81hQvXow6MhKfRx4CSaJ4yVJy334X3xeeQ9eli83jLTXZtuoLgMlYBHVco1vDK0AiI6Vp/nteMqjbaAZ1G13j437nEgA4ctX2V/g7UFubey5+2SrTS42l0Ag1/Bj1ej3Hjx/n+PHj1T4eGBhYbRA3OjqasLAwlMr6VcRszu89LRaZUwcu0GlAS2cPxS6yLLNl8TFKChpuQqc9zp3M4cjWFDoPbNlgfaSkpFSGa9etW0dBQUGdxySlnWiw8TQWv1DP6rfrqt9uLXsnJlqKDZjPFaNq5V2/jiWJPI2KPI2Kfd6ueGrcePaeihrhsiyDbEGyo2qvIAiCIAiCIAiCIDQ1ImwrCMI1q8xUbtV+crEBDGYUfo4L2kJFZVvPJ3pR/N1BCt7eXrldHeOLx/QulZVvrWHtc7nWKcWHs8I1yjvAjcBILzJT6r651NRYLGa2Hlxdr2NkWWbr1q1s3bqVZ555hvbt21cGb3v27IlCoSArL591O/Y5LWirKFKiOq9Bkp0T7j9zJIOstAKG3x6Hh49jX58EoSnxd/Em3D2QtGLrKu/pBkagivKibG0yZauTsBSWg1KBMtANba8QXIZUBEFN54so+vrAFceWzK9YKFrVxgfvJysqYhmOZ4PRgiWnjMIPd1fpz/PfPdG0rXuCVFxA9ZMGmpuJEyfy7rvv8vTTT1d5LCMjg7Fjx7J161a8vLwqQrKvvw6ffQZWhCOslpAAjz8O//d/9LvnHsbd/BRL0xv+Wjis3Lblby95efpn1W43m818ufAt8gqziWvbm1D/yGr3XbdzMVsOrKZ77AC7xjGg51DG33EdY8eOJSYmxq62mgNJkgiM9CYw0puy4nJOHUgn6VA6RXn1W0YZKqrYBrbwJqZbKOFt/EQlWxv5BnvQ94Z2bP2j+tCgM+WpzMwJL8BSj8s7Sa3CY/Kt5H80E/227bj073fF45euVSWVCt8XnkfhUnHdpunYgcxHHqP4t0V2hW3LzLZPAjCZrJ+sMHnKM+zYdZgt678nLCzoisdcfIt4+O27CPQN4cX7ZrJw3WxS0k9x9vwp8oqyK5dcr44sy2zet5J1u/4kLTMZhUJBkG8YNw27i+7t7TvfWUtVXkbEsarVZBtTeBcvvol0ZfqPKZhsyD9nZmaSmZnJjh07qjymVqtp0aJFlRDupXCut7f3FfubTWZSTmTZ+EyahjNHMpp92DZxz7km//7/yJazRMT44xPkmMrKZWVlbNy4sTJge+JE/YOzR07vobAkH083b4eMyRmiOlQfdu0U0JplydtsbtfaiYnqNj4UfrQHba8QlIGuoFZizixBv/4sssmC6zjrJ0NWJ87/7+MlSQJJfJYrCIIgCIIgCIIgXFtE2FYQhGuWXFPJkMbq32yh6OsDmM8X435nB5RBbphzyihdfpqCj/fg9e+eKKysWGhx1vLpgiA0mrbdw5r8zbbqRHUI5nRyIitXrmTx4sUsW7bMqoo0l7tUxentt98mJCSEG8aPp++IeMxOOvUpCpSoLmiQcG4V7eJ8Pavn7Gf47XF4B7g5dSyC0JDi/FtbHbYFUIV74jG1c637aNr64T+r5gp3l7jFt8Et3v6gbH0q9DZ1Tz75JKdPn2bWrFlVHjt69Cg333wzK156CdX990Ni9ctyO0RpKXz2GW+s3cC2V38hV27YG/X2hm1bR8RWu33O0plk5V3gnvFP0Cq8fbX7yrLMF7+8gb93EB1b9bBrHP17DuX6ad3taqO5cnHX0mlACzoNaIG+1EBuejG5F4rIuVBEYU4pZpMFs8mCJEkoVQo0OhU+we74BXvgG+KBd6AbShGwdYioDkEYy83sWtGA54h6KlKa+ToynwJ1/ZOOLv37UfLnEgrn/4yud68rHlN4VITQNDFtK4O2AAqtFm1sLPpdVSdy1IfCjlVdzEbrw7Yfvf8sA4bczWNPvsNvP39wxWOvvv0R5cZSpk98HoVCwcptvxEZHE3X9v3YtHdFre1+/+eHbN6/klH9JnHLyPswW8ykZpzBYGi8CcVRB9egKbdu5aOGYu7qzW3R7rjrlNz5XTJGB77RMRqNnDp1ilOnTlX7uI+PzxUB3NYRsejMkTb3Z20l9wnDp/LN7//jVOox8gqzMJqM+HkF0q19f8YNnIyHm5fNYyjMKcOgN6HRNc9bG0V5Zez7K8nZw6iTxSKzbckJrr+nm00TUGRZ5tixY5Xh2k2bNlFebt/vvkW2cDrjEF2jB9nVjrMEhHviG1z9ahiXh1RtZc3EREmlRBnugX5zKpY8PbLRgsJLW1Ec4oGuqELtC1dfK5MQBUEQBEEQBEEQBKEmzfMTKUEQBCvolNYtkyq5a0CjxJJT/+pHtdFvTcN4NBuv5/uiblFxE0HdBtStfMh7aRP6dWetrhbgorq2lnwVBKGq8Lb+uHpoKC0yOHso9dK2Rxienp7ccsst3HLLLRgMBjZt2sTixYtZvHgxqamp9WrvwoULZBfpMTkraFvYNIK2l5QVG1j740FG3dUFD19XZw9HEBpEn5COdlVxagp6B3dw9hAcRpIkPvnkE86ePcuKFVeGqHTAqLVrUaxd22jj8U84ypsfPsGDj3/coP2Eltu+VHtNtuxfzZodvzO4+xiG9Yyvcb9jSfvJzDvPTcOmolDYF/bMyyzGYpFRKJrG65iz6Fw1hEb7Ehrt6+yh/GPFdAtFqZTYsSwBZ88dzVWZ+SYynxyNbVViJUnC887byXntDUrXrLviMXWLFjUfKMtg5++iTmn7RANTPcK2QYF+/O/tJ7h3+st8P2cxU+8aD8DS5ZtY+Pta/vPMvwnyDAPg65eWVZ6rth6oeYWLPce2sH73Eh6+9T/07vR3QLNzm141HtMQYnb92aj9Xc0SqsMSVTFxblwnL76fGsWU75KwNNLvRV5eHnv37mXv3r0ADO81nqk3PG5ze9ZWcgcoN+gZ2nMcQb5hqFUazpxP4M8NP3IwcQev/+trVCrrJqBXJze9iOCWPjYf7yyyLLN96QnMRhtKHDtBXkYxR7al0HlgS+v2z8tj7dq1rFy5ktWrV5OWlmb3GFq0aMHo0aMZNWoUw4YNQylr+OOznXa36wwlippvxzkqpGrNxESPKR2rbNPKMu1kI53MpXSUjQTIFnTIqJAxIKFH4pyk5LCWU0YAAAEAAElEQVSk5rCk4rSkwlzNhBCfMvEZtiAIgiAIgiAIgnBtE2FbQRCuWW5q65bdlhQSmna+GI5kY87To/TROaR/c2oRKCRUEZ5XbFcGuCK5qTGdL7K6LWufiyAIzZdSqaDnqDZs/O2os4ditZYdAwmM9L5im0aj4brrruO6665j5syZ7N+/vzJ4e/DgwTrbjGrTllE3TGigEddOKlGgOt90graX6EsMrP3pIKOndsfFXdy4Eq49k9oM4/Vdsyk321dZ1Fna+kTSK6j6qqbNlUqlYsGCBQwcOLDy3B0CrARqv3XfMOJ3rmLZ9uUs6TumwfpwsTg29JJ8/iSz//yA6LB23B3/WK37bty7HElSMKhb3dWY62Ixy5hNZhQa8XGP4Hyt4kLQ6NRsX3oCg97xgXZrpOiMzAsrsKmi7eW0nTuj7dyZot8WovTzq9yu9PFBHRODISEBS2kpCteKyVGW8nLKjx1H3ca+8JSn2rYwomwxYzHr63XMjTcMY9mKTfzntc8YNrQX7m6uPPXsewwZ1JNHH7uJDb+aKSvG6kkBq7cvxN87+IqgbWMLOHsEn/TTTusfwDjQHy4LpN0Y50nW0pc46jGCpKSkK77OnDnDhQsXGnQ8UWExdh1fn0ruD9360hX7dGjVDZ3GlR+WfETC2cN0aNXN5nE017BtWmJOs1vR5ui2FNp2D0PrWvV8ZDab2bVrF6tWrWLVqlXs2rULi53XVC4uLgwdOpRRo0YxatQoYmJikK4KdYa19uXcqVy7+mlshSVq7rmnPZGvbOHbbyMZMuTKCtNZZ87jalRRqm6818tg2cxkcykj5HJiZBN1vuJcNkmgFImjkoolCh2LFC4USRWvDf++9UG+C32fKVOmcPvttxMSEtJg4xcEQRAEQRAEQRAEZxB3XwRBuGbF+Fi/LJ7L6GgMR7IpnncEzxndkFRX3jySzRYMR7PRdg60uk2FtxYsMqazBaijvCu3mzNKkEuMKLytD/XW57kIgtB8RbQNoGWHQJKPWr+curPo3NT0HFF7eECSJLp160a3bt149dVXOXPmDH/++SeLFy9m06ZNmM1XVhdTKBRM/ddjKOyo4GUzM6ibUEXbq5UUlLNrZSKDJnaocqNREJo7PxcvxkcP4peT6+reuQm6pcXQa/L30sPDg6VLl9K7d2+058+zFoh24nje++olUgPCOdC6YeK+ageW3iwqKeDjn15Cq3Hh0cmvoq5llYqSsmL2HNtMx9bd8fcOckj/ZpMFtZibITQREW398Qvtyc4ViZw7mdNo/RolmTX+JWz2LcXioFO05523k/Xs81gKClBFhFdu97rrTrJfeY2c19/E/caKirAlS5ZiKSrE87Yn7OqznaeXTcfJsm1VfN998wm2bj/AI/9+G38/bwxGIzM/fA5JIdEqTsGRrdaF6MxmM6dSjxIX04cVW39h1bZF5BZm4e8dxPDe4xnT/5ZGee3ssPHHBu+jNrJOgblH1UCo7vQS+o0fw8CBd1d5rLS0lOTk5Coh3Et/Ly0ttWtMLUPtC9tWx9pK7gCebt4AKBX2vefLuWB95eamJHHfOWcPod7MJgunD10gtk/FZ5NpaWmV4dq1a9eSl5dndx+dOnWqDNcOGDAAna72z0w79ItsdmHb5VsiMJnVJCUNYOhQI+3bb+LLLyNISdnGrFmz2LJlC263d8BlUETDDkSW6S8bmHIxZGvrDUJXZHrKRnqajTxrLuZ3hY4f8iW2ZZVyMOsgBw8e5JlnnmHEiBHcdddd3Hjjjbi6itV6BEEQBEEQBEEQhOZPhG0FQbhmdfJvhYSETN03ztXRPrhPjqV4/jHy39yGblAkqlB3ZLMFU2oR+s2pqELd0XYOxFJkwJhY8YGu+WJ1WsPRbBTuGhQeGtQxFUuVavuGUbYumaIv9+MyphXKIDcs2WWUrjgNWiU6Kz889dC4EuUpqgAIwj9Fz5FtSE/OQ1/StCs89r6+bbWVbWoTFRXFY489xmOPPUZubi7Lli1j8eLFrFy5kpKSEjp370VYRC1L8TYgVaYGyWTf0t0NLTUhm+RjmUR1cEwYSxCakns6jG2WYVtZb+I/NzyE4ek0HnnkEbRarbOH5FDh4eGs/vZbPMaMIdLJ68C760uY+84D3PyfOSREOD4opHDQ07NYzHy24DVyC7N4dup7+HnXPllv28E1GE0GhnQf65gBAHLzWJla+Adx9dAyZFJHzhzJYM/qUw1e5dY7xJ2XdGfJ1NoWOK2JOjoKl/79KNuy9YrtmnZt8Xv5JYrmLyD/408q9m3TBv9XXkbT1vbzVUs3d7w0tiXnZRtPBD4+nsx8/zluvfNpAL745EXCQivOYxFtJS4kSeRcqPuEWVRagNFk5OjpfSSlnWDSiHvx8Qxg19GN/LxyFqVlRUwacZ9NY7RW1IHVhCfuaNA+6mLq7w/a6kOlhvWvorv9NySN2xXbXV1diY2NJTa2agVZWZbJzMysMYiblpaGXMfrdZBvmO1PqBrWVHI3m80YzQZSLpxi4brviGnRiZgWVZexr4+ivDK7jneGwtxSLiTZH0x1hgNbTvPtrx+zatUqjh61fzUeX19fRowYwahRoxg5ciRhYfX7fxkY4U3bHmEk7Gke4WVPf1csbklIkgey7AOoOX58EIMG6YFMIAEA/aaUBg3bdrUYeMtcSHvZsa/DbsjcaSnjTk9YMyOaRxekkZJrwGKxVAaz3d3dufnmm5kyZQpDhgyxukp6cyDLMueKsziYfZKDWac4mH2KzNJc9GYDJosJjUKNVqUhwj2QzgFt6OLfhriA1vi7eDt76IIgCIIgCIIgCIINJLmuT+AEQRCasX4LHuBkfqrV+5vSCilbm4wxMRdLYTkoFSgD3dB0DsBlSAsUHhoMCTkUfri72uNVbXzwfrJ35ffmzBJKl53GeCoPS0E5Ck8NqmhvXMe0RhXqbtWY+od25o/4d6x+DoIgNH+pCdls/O2Is4dRo5YdAxkw3nFLpuv1etatW8eJtEy8/Rs/SKooVqBOs77auDNpXFTEP9ATF/drK9AnCLIsM3zRIxzOdu5Sz/VVtimFkp+OARUTCt5++20mTZp07VS6zcmBAQPgxAlnj6RSroc3dz77NQdbdXJouw+cy6GV3mB3Oz+t+JwVW39l8ugZjBlwS537v/jZA+QWZjHzmV9RKR0zH/qWJweg0Ym51ULTVFZczond5zh14ALlpY6dXOYb4kHb7qFEdQpi0JqVnClunpUvL7khPIIveve16VizqYyC7L029z1q3IPk5RWwa+v8K7aXFslsXmTGfDGndd9r19Ozw2CmT3zuiv3yCrN59N1JALw8/TNaR/z93uGjH1/i0MldfP78H+i0LjaPsTa6ohziZ96DtqyoQdq3hiVAg/7ZdqCpOVCm6jgRzdAXHdZneXk5Z8+erRLCvfRVWFjID6+tRWFnVdlLikoK+M8X0yk3lvPfGV9WO8HkVOoxXv3yocrv42J689Ct/8FFa1+FS1cvNSOnxuHm5tZsrrv2rj3F8Z1pzh6Gzd794RkOn6z+89C6KBQK+vTpw6hRoxg9ejTdu3dHaeeKNiaDmaVf76Y4X29XOw1NoZQYM607rt4avv76F154IZuCgmmA52V7FQMfA+/h9XRb1K2qVsS2h1aWecJczP2WEhpjHaHicjMvLD7Pt1tzqO7uY0REBHfccQdTpkypdmJBc3Ew6xSzjy1lVfIOsvUF9T4+wj2Q8a0GcXfsGFqKQhuCIAiCIAiCIAjNhrj7IgjCNS3Ov3W9wraqcE88pta+NK2mrR/+s0Zb1Z4y0A2Pe+xb6jbOv7VdxwuC0PxEtPWny5AoDmw44+yhVBEQ7kmfMW0d2qZOp2PAoCGkr97o0HatYgZVevNZa9tQZmL3qpMMmmhfJShBaGokSeI/vacxadkLzh6K1SxlRspWJFV+f+bMGW699VY+/PBDPvjgA/r2tS0g1aTMmNGkgrYAvkX5LHhjKo889D/WdB/msHYNCvuDOtsPrmPF1l/p3WmoVUHb5PMnOXvhJNf3v8VhQVsApfraqRQmXHtc3LV0HRpN54EtSTmRReK+82Sl1j+gcolSpaBlbCBtuofiH/p3cCnOx7fZh207e9setpIk+84DWo0atbrqKhauHhLteik4uq32yrluLh5IkoRO43pF0Bagc0wv9h7fwrmsZFqFt7drnDXp88f7Tg3ayhIYbo+sNWgLYDqyEGXM9SjDujukX61WS0xMDDExVSsqy7JMdnYOq75yzKROayu5hwdF8eqMWRgMes6mn2Lppvm8M/spnp/2AVqN7RMezyQl4+ExAK1Wi7+/f72+dLrGn2hpNls4fTC90ft1pGE94+sVto2IiKgM1w4fPhxvb2+HjkelUdJ3XDvWzDvg0HYdLSzWk7fe/y+zZ88mKyvr4tb/As8AjwCugDvwAvAQ+o3Po26V7LD+u1oMvGcqoDWOrfZeG3etko9vieCmOG9mzE8lJffKCW2pqam8/fbbvP3223Tv3p0pU6YwefJkAgNrXxGiKdCbDCxO2sTso0vZm5lgV1upxZl8evA3Pju4kOGRPbgndhzDI7qjdNCECEEQBEEQBEEQBKFhiLCtIAjXtJ7Bsfx26i9nD8MuPYOa7wx/QRBs16FfJIZyE8e2Wz9hoKH5BLkz9NZOqNSO/+D/xJkUh7dpDUWBCsnUvEJJKSeyKcguwcvfre6dBaEZGRLejSntRjP3xEpnD8UqJb+ewJJXtZLWjh076NevH5MmTeLtt98mOjraCaNzgF9/rfhqgjzKSpj93r/4ddCNvDz9vxQqqgbC6itbrQLKbT4+Jf003/zxHuFBUdx309NWHbNx73IABncfY3O/V3P31qFUNq/XNeGfSalSENUxiKiOQRTmlpJ9rpDcC0XkpBeTl16EyVh9mNPVQ4NvsAe+IR74BnsQEO6J1qXqOaCvfwB/pDrn+tJR+gQE2H6w1HBBnch2EllpEpkpNS+WplFrCfILp6Aot+qDF8sc2hsIrkmbXX8SnrC9Qdq2lmlwAJZW1q1mZNo/12Fh29pIkoS/v5/D2vt51ZccTdrH5NEziI3uWuN+Oo0L0WEVkzXbRcXRKrw9r375EOt3L+H6/pNs7t90sbxyeXk5586d49y5c1Yf6+bmRkBAgNXhXF9f32rD5/WRn1mCQW+yqw1na9uy9mICOp2OwYMHM3r0aEaNGkW7du0qqw6XmcrZm3GCg9mnOJh1kkPZp7hQko3ebMRoNqJWqnFRaghzD6SzfyviAtoQF9Ca9r4t0Sprnhwb1MKbDv0iObqtaZ7v0/NTuPume7BYrn5NywWeAz4CngemA1rAm/J9H+M28S4UXrZPRLlknLmMj8wF2H+lbJshbT3Y/FQMN35xmv2pZdXus3fvXvbu3cuTTz7J6NGjueuuu4iPj8fFpWEqn9tjRfJ2nt78KRml1by22UFGZm3Kbtam7Ka9b0s+Hvw4XQMdO8ldEARBEARBEARBcBwRthUE4Zo2ofVgXtnxDWUm22+cO1OAizcjW/Ry9jAEQXACSZLoOjQapUrB4c1nnT0cAsI9GXprJzQ6x9+mkWWZpNTzDm+37o5Bmd88L4cT956n56g2zh6GIDjcq33vY33aXs4VZ9W9sxP5ZCnI3lZ7qOPXX39l8eLFPPLII7zwwgv4+Dh2OdgGlZUF//qXs0dRKwm4ZdMfDDy5j2e+Wc36QvvaS9Pa/vpWUlbERz++hMlsYNzAyaRlVF+Z3sPViyC/MAAMRgPbD62jTWQHwgJb2Nz31XxDPBzWliA0Fk9fVzx9XYnuFAyAxSJTVlSOyWjGbLIgSRJKtQKNVoXOzboVCW6MiOS1wwcpMTXPcFtHb2+6+PjafLxCoUJSqJEtRgeOqkLF+xQFu1bWXiWxZ+xAlmz6icSUI8RE/r0qw8HEneg0LoQHtnT42CKPbKTn0o8d3m59WEJ0GMdZvxy4OXkzlsLzKDxDG3BUFSRJQqGUsJhrDkpbo76V3C8XHdYWSVKQnpNm1xiMdnzOV1JSQklJCcnJyVYf4+3tbXU4NyAgAG9vbxSKvwPluen2VVqe8uLQOve5aejdDOsVz5odf3AsaR/pOWmYzCaC/cIY2jOeId3HoLCjYqaHqxf+3kFk52dUbuvQoQOjRo1i1KhRDBw48IqApEW2sD5lL7OPLWVd6h5MlprPGQaLiRJjGdn6Ag5mn6ycfKdRqBjZojfTOoxjQGhcZXj3cl2GRKEvNnD6UNOqHHzmXCJvffdENUHby6UDjwHvo9H8F4PhdjBpKF7wEJ4PvGlX/7eZS3nLXIizp2D5u6tY/khrbv4yia2nS2rcz2w2s2zZMpYtW4anpye33HILU6ZMYcCAAVf8LjlDnr6I/9v6RaMU9Diem8z1fzzBw3GTeLrH7bWGzQVBEARBEARBEATnaJ7pAkEQBCt5az24qdVgfkpY7eyh2OSOdqPQKJ1Vf0AQBGeTJIm4QVG4uGnYu/Y0ZlPty7U2lBaxAfQd2w6VpmEqZJXqyynV236zdOtfa5j92Ue8+PZHtGxdNYA6881XOJd6lne+mA3AwT272LNtMylJSaSfT8VsMTP39eZVBT3pcDpdhkah1ojLeeHa4qFx48NBj3HL8hedPZQaeWhc+evxWZwedJwnn3ySPXv21LivwWDg/fffZ/bs2fznP/9hxowZaDR13zA1my3kZ5aQm15UWemxtLAcs8mMxSyjUEooVQpcPbT4BnvgF1JR5dE7wA2lygE3ox9+GLKz7W+nEYRcSGHOm/ey8qflfHeqgG2ZpTa1c86OsG3KhdNk5V0AYNZvNQcjBnQdxfSJzwGw59gmSsqKGNJ9rM39VscvWIRtheZPoZBw87JvmXd3tZqbI1vwQ9JpB42qcd0d3braUFl9qNTuGMvzHDSiv23dtp+c3HxMRpBlCzn5Gew6shGoqFzq6eYNwJgBt7Lt4Do+nf8qE6+7B1/PAHYd3ci+E9uYPHoGGrXWoeMKO76V/r++gaLWYFvDsvhqKJ8RDZp6vBbLFkxHF6Hp+3DDDewyOlcNpUWNW8n9csfPHESWLQT5htk8BoCiUvurftZHfn4++fn5nDp1yqr9FQoFfn5+lQHcEd0mERXQyeb+X57+WbXbzWYzXy58i7zCbOLa9ubMuUS2HlhN/y4jGT9kCkqlikOJO/n+z484nXqM+yc8a/MYADrGdCOghTujRo1i5MiRREREVNknT1/ETwmr+P7YMpIL7QvAGiwmlp7ZytIzW2njHcE9HcZya5vr8NT+vcqLJEn0HhuD2WIh+UimXf05SvL5k/zvh2coK685XAqg1WqZNGkS06dPp3///qxde5b77z/H2X39Kd87EG33zTb1f6O5jHfMds5EcyBPnZJFD7bi+k9Osi+l+gq3lyssLOSbb77hm2++oWXLltx5551MmTKFmJiYRhjtlVYl7+Dfm2aSVeb419OamGULHx9YwMqz2/ls6FPEBYiJ1oIgCIIgCIIgCE2JJMuyfVPZBUEQmriDWSe5btGjzh5GvSkkBXsmf0eER5CzhyIIQhNQkFPKjqUnyEprvBsmWlc1vUa3oUX7wAbt5+z5DNZu32vz8fUN237/+UecPH6UFsFtyMq4wJnzic0ubAvQ+/oY2nRr+ApYguAM7+6Zx//2/ujsYVShlBT8MPIlRrXsA4DFYmH+/Pk8//zzpKam1nl869ateffdd7nxxhurhKhkWSYjJZ/EvedJS8y2qeqcQikR1tqPmO5hBLf0ti2odfAgdOlS/+OcbdkyGDOGxIJy5p7K59fkQopqWIa+OpIs8+qZDLTN/COS4bfHERLVjKooC0IDOlFQwPC1q5w9jHrzVKvZOyYeV5V9k6pKi86iL6n7tak6N0x4hJzcArZumFPtY1u3H6j2uP+b9iHto7tUfp+Tn8nPq77k8KndlBv0hAREMLrvzQzqfr1N46pJ1IHV9F30LopaKmc2NIuPmvKHWyMH2BAidvHF5Z4VSI1QwXDDL4dJO5lj07ElZUW89Pl0cgoyeGDCc5XV2q/m4erF+awUNuxZStd2/fD3DsZsMXHmXAKrti3EzdWD12bMwlXnbvPzWLLpJ35Z/bXNxze2V2fMIjrM8cvCz1k6kzU7fuee8U8wrGc8JWVFaDUuqJRXnj9+WPIxa3f+wUdPLcDP2/b39+37hNN9eOtqH5NlmfkJa3hp+1cUGmoPmdrDT+fJ2wMe4sZWg6r0v3vVSRL3OmHVnMsknD3MB3Ofp1Rf888gJiaG6dOnc/fdd+Pn51fl8YULE3n42VQMD36FwqN+nwENtJTzvSmvSVbZMSpceHFXEF8vWEF5ef1D/71792bKlCncdttt1f7cHO3Lw3/w4rYvG7yf2uiUGr4b+QIjIsXKd4IgCIIgCIIgCE1FU3zPLQiC4FBxAW3oFtiWfZkJzh5KvYyI7CmCtoIgVPLyc2XElK6c2J3GwQ1nGrzKbWT7AHqNamP1Ur32yMlv3KpEdz34KApZgeakC3OWzOTM+cRG7d9Rkg6ni7CtcM16uvsd5JcX8/WRxc4eyhU+GfJkZdAWKqqW3XHHHUyYMIGPP/6YN998k6KimpcJPnXqFBMmTGDgwIG8//779OzZE0O5iTOH0kncd56CbNuqsl5iMcukJmSTmpCNp58LMd3CiO4chEZXj6qtX3xh1xic5osvYMwYQhQGel/YTc7m9aw+eYEMtRfq6A6oozqgCqg+FCSbTRjTTpFcJtNW592443YgSQK/ENuDS4JwrWnn5UUf/wB2ZGc5eyj1MqlFS7uDtlBR2dZWfy76xOrHLBaZ0wdlTu23cPV8BT/vQB669SWbx1GXcoOE//o/6bf1QyQnTpawBGop/1crZF8b3zuV5WJJ24OyRT/HDqwaviEeNodt61PJPX7Q7SiVahZvmEtBcUVFyACfYAZ1v574QbfbFbQFGHRdH1p19yc7O7vKV05ODhYnVjiuTkRQlMPb3LJ/NWt2/M7g7mMY1jMeADeX6ivctwpvx9qdkFuYZVfYtiCr+mvVCyXZPLFpJmtTdtvctrVy9IXcv/Yt/kzazDsDHiLAxRuoqHDbc1Qb/EI82LPmFMbyxg3fWyxmlm/5hUXrZ2M0Gas8rlarmThxItOnT2fw4MG1ToqbODGGiRNjeHJ2JnMMVSc91MRLtvCBqaDJ3vRTW8r4X7wP//3oPL8tXMTcuXPZtGmT1cfv3LmTnTt38u9//5sxY8Zw1113MXbsWLRax1ZKB3h/33ze3m39z76h6M0G7lr1GrOGPcv4VgOdPRxBEARBEARBEAQBEbYVBOEf4vmedzFp2QvOHobVlJKCp7vf6exhCILQxCgUErG9I4iI8SdhdxqnD6U7/AZSWGs/2vYMIzTa16Ht1iY7r3HDtgqFAqlEgYR1FR+nvDi0zn1uGno3E4ZPZcv+VRxI3MnZC6fIyEnDzyuQD5/6ucr+ZeWl/PHXHFIunObshZMUlRZUtmGtnAtFWMwWFEoHLBkvCE2MJEm83u8BFJLEl4f/cPZwUEoKZg55gkkxw6p93MXFheeee45p06bxyiuv8NVXX2E213x+3rx5M7169eKJB1+kZ6sRmModHwgpzCljz5pTHNqSTM+RbWjZIbDuSrcFBTBvnsPH0hjkZcu4rXdvFu3bh8lkqnYfhYc3Cg9fJI0OlCpkYzmy0YA5+zwYy1kfdx1tJzWf9wxXi2gbUL9gtSD8A7zYqTM3/LUeC82jarWvXs+jUa0c0pZKXX3oztEUCok2XSWCIiUObTJTmNso3XL8jBdfL2pHXl4/UvotI3hHApIdL6eHgI+BDcClupjhwDDgfqDHxW3fA/dcfXBmObxyjNOvdyDY07bzsCXzWOOEbYNt/3/RPrpLvVYEeXTyKzb3VZe77puMh49LtY+ZzWby8/OrDeLW9JWfn99gY1Up1ahVjp3Emnz+JLP//IDosHbcHf9YnfsfTdqPUqEk2D/crn6NhqrXt78kruP5rV80aDXb6ixJ2sK284d4b+CjjIvuD1S8h2gVF0JwlA87lydy/nTjnJDOZZ7l60XvcDrteJXHWrVqxQMPPMDUqVMJDKxf0Pn9eyYTug+rQ58vmwsJpGkFza9mubAft7MruO+++7jvvvs4c+YMP/74I3PmzOHkyZNWtWE0Glm8eDGLFy/Gx8eHW2+9lSlTptC3b1/bVva4yqxDvzeJoO0lJouZB9e/g6taKyrcCoIgCIIgCIIgNAEibCsIwj/CkPBuTGk3mrknVjp7KFZ5rOutxAVUvyybIAiCh48LPUa2ocuQaM4czSBx73nyMoptbk/rqqZ1lxDadA3B3bv6G5YNqaikzCHtWCzmasNtcjXhCoXe+oDqy9M/q3a72Wzmy4VvkVeYTVzb3gBsObCGguJcWoW1Q5YtmM3VB76KSwvZsGcpEcGt6N5+ABv2LrN6PJdYzDIF2aX4BIkqhsK1SSEp+G/fB/DRevDOnnnV/i43BleVli+GPcOYqLoDMIGBgXz++ec88sgjPPPMMyxdurTa/TzdfJh6w+N0DR/UIEHbyxnKTGxdfJyzxzPpfX0MLu61VH6aMwdKGjco4SiSLNN11y5+qWUfS1E+lqL8ah8LCAggqkMwssKMZFE2yBgbWkx3Ue1cEK7W1dePf7Vty6cJJ5w9FKu88dkX+P/+J/z8M9hZ3Vah1KDW+mIsb5ywmaefRL/xSk4flDl90IKlgYpKWoCdCfDLchPZeUbcNDIet7hS3i8GzY8pKC7o693ml8DDQFvgMaADIAHHgflAT+AUcHkM+juNRKsRQVhi/g6v+rnZ/m9myawa0msI10IFdI1Ohbu3rsbHlUolfn5++Pn50bZtW6vaNBqN5Obm1iugW1xs3XtwjdqxQduikgI+/ukltBoXHp38ap1B3sMnd7P1wBpG9Z2Ah6uXXX1fvsKOLMt8sG8+b++Za1eb9sjRF3LPmtd5o9+DPNBpfOV2N08dQ2/tRNKhdPatT6K8tGqlWUcwmgys2raQReu/x2gyVG5XqVTceOONTJ8+nWHDhqFQ2D5B9omut1FUXsJnhxbWut9wi56Jlvqf/5zBuP1TlC0HoPBuQVRUFC+++CIvvPACu3btYs6cOfz888/k5lr32pWXl8esWbOYNWsWrVq1YsqUKdx55520amXbxJXfT23kpe1f2XRsQzJZzExb/QZLx79HXEAbZw9HEARBEARBEAThH02SZSeusSUIgtCIigwlDPx1BueKm/YSkrG+LVkzYSYapahKJQiCdWRZpjCnlJzzReSkF5F7oYjcjGLMxuoDXF7+rviGeOAX7IFviDt+IZ4oVc6rjvrLir8oKrU9cLv1rzXM/uyjWvfxCwjknS9mV36vOqdBWaTihyUfs3bnH/Wq0HTJnKUzWbPjd+4Z/0Tlsp0Wi6XyRtr7c58nLeNMtZVtL12CS5JEUUkB/3rrxnpXtgXoM7YtrbuE1HvsgtDcbDt/mMc2fkhy4YVG7bdfSCc+Gvw4UV62hRjXrVvHU089xYEDByq39YgdxLTxT+DhZl/YwRYanYpe18fQMraGqlpdu8JlY21uMoFgsCqWrdFoGDBgACNHjmTkyJHExcWhUCjYv/40R7enNvBIHc/Tz5X46T0dUs1LEK41erOZ69etIbGo0NlDqdXY7Tv46v0PK7659174+muw83e6qOACxrLTDhhd/RjLZdJOyqScsFDioEUsfILciekeSlSHIFSaikkRBoOZjb8spX/eKxc7tqBelYFqbYbVVW63AoOAscBvQHWxxV+B/kAof1e23Twjmm7tPe14RleSPIJxmbrCYe3VZtk3e+yarOlsLTsEMuDGWGcPA71eT05OzhUB3KysrCqh3KKCEh658S2H9GmxmHn3+2c4nnyAZ6e+R2x011r3Tz6fyFvfPUFYYEuen/aB3RV2fYPdGXNvD2RZ5rWd3/Hpwd/sas+R/q/n3fy7221VtptNZs4ezyJx73myzznmdSAz9zzrdy1h074VFJX+fZJr2bIl999/P9OmTSM4ONghfUHF5wfv7pnHe/t+qvZxd9nCemM2QU28qu3lFKHd0E74ptprV4PBwIoVK5gzZw5Lly7FYDBU00Lt+vfvz5QpU7jlllvw8fGx6pj0klwG/DKdAkPTPT+282nB2okz0SodG+IXBEEQBEEQBEEQrCcq2wqC8I/hoXHjw0GPccvyF509lBpVLFH8pAjaCoJQL5Ik4eXvhpe/G9GdK27oWCwy+mIDZrMFs8mCQiGhVCnQuqgrb043FWaLY24I3fvIk4SERVTZvuD7r8nNuXKihVSPyrbV2bJ/NWt2/M7g7mMqg7aA1RVrHBWGyr1QBCJsewVZljGWmzGbLFgsFpRKBQqVArVGKUJozVi/0E5suPlz3tj1PV8fWdzg/bmqtLzUexrTOoxDIdl+vhg+fDh79uxh7ty5vPDCC3Rq0Zc7xz7swJHWj0FvYsvvxygp0NOhb+SVDxYVwcGDtR7/PX8vnf0XMOSqx2WgDXAaGEzFUtwAc4DlwH7gJBAJJNfQx37gVWAXkH9x39uBpwDXWkcHgVRUHTxVw+MdOnSoDNcOHDgQNze3Kvu06RbaLMO2Md1DxTlOEGqgUyr5oEdPbvhrPRYnVUmvi29BIW9+/e3fG779FoYMgTvvrHdb5eXlrFq1ivnz57NkyRI2rv2WqJZhjhusFdRaiaiOEi07SORckElNkMnLkNHXs3i6u7eOoEhv2nQLxS/Uo8p5TqNRMqRjCcbNlzpWYBwXgmmgP8ptOai25aAoqL2i5ZuAkorqtjVFlyYBslaBsYcPBi81LE8HO6rYVkcuSkcuy0Vy8XVou9WJ6R7KzuWJDd5PQ2kqldx1Oh1hYWGEhdX++2U2mZn/zuZa97HWz6u+5GjSPiaPnmFF0PYk78x+miC/cJ666227g7ZA5STdD/bNb1JBW4A3d/+Am9rligq3AEqVkuhOwUR3CiY3vYiT+86Tfjafotz6TfjNK8zmVOoxNu5dzqGTu5Hlis8xlEol48aN48EHH2TEiBEolY7/vEWSJJ7tOYUgN1/+s/1rykzlVzx+s6WsWQVtASzn92FJP4gypEuVxzQaDePHj2f8+PHk5ubyyy+/MHfuXLZt22Z1+1u3bmXr1q08+uijxMfHc9dddzF69Gg0mup/D2RZ5qnNM5t00BbgRN5Z3tv7Ey/0mursoQiCIAiCIAiCIPxjibCtIAj/KJGGaEzrhqIaXv8Kho3htb4PEBfQ2tnDEAThGqBQSLh61rJUeBNiz5KKlwsJi6Bl66rL6bm4ukLOZRtkkIy2B5KSz59k9p8fEB3WjrvjH7O5HUcozC11av/OVlnV+UIRuenFlVWdTYaq6xZrdCp8g93xC/GoqOwc4oG7t4sTRi3Yyk2t483+DxIfPYB39sxl6/lDDu9DrVAxLqo/z/e8y+ZqtldTKpVMnTqVTpH9Ob79nEPatNf+9UmYDGbiBkf9vfHAAbBy4RsP4Fuqhm03UhG09bhq+1wgHehFxfLfNcWejgH9qFjG+yPAH9gEvAbsBayJWXfn77BtQEAAI0aMYOTIkVx33XV1hmEA3L1daNU5mNOH0q3orWlw9dTSqrPjqqcJwrWoq68fb3TtyvP79zl7KFXoyg189f4H+BdeVXHx0Udh+HAIqXtilclkYsOGDcyfP59FixaRn59f+djsH/7gtZcfcvCorSNJEv6hEv4XX1LLy2QKsmUKs6EoX8ZsBPPFyzalClRq8PCV8PKXiGzbA51b3ddqctH5qtu81JiuD8Y0Mgjl4QJUW7NRJJUgGa98nTNTMXmkB1DdT1mWQA5zwdTHF1NPX3BRIu+seGMx8csksotNeLkoGdjanRfHBNMh1L5rS7kovVHCtlEdgti37jTG8qrXzE2dd6AbAeGNvzqAPRRKBZJCQrbYF/bffnAdK7b+Su9OQxkz4JZa960I2j6Fn3cQz079H646d7v6vkSlUfJr4nre3jPXIe052gvbZhHhEcj1LftW+7hvsAe9x7QFKiahnUlMY/2KzSQlpGE2WFCrNSgkJQZjOeVGPeczkzlzPpEz5xIpKM69oq3w8HDuv/9+7r33XquuMR1hauxYBoZ14dENH7Ar/VjFRllmirl5fi5gOvxrtWHby/n6+vLggw/y4IMPcurUKebNm8fcuXNJSkqyqg+DwcDChQtZuHAhfn5+TJ48mSlTptCz55UrQvx28i9Wnd1pz9NpNJ8c+JWxUf3oEhDj7KEIgiAIgiAIgiD8I4mwrSAI/xj79qXTr18R5eVP46Z2wWXQcmcP6QpPdbu9SvUFQRCEfwKlg8K2VpNBwrawbVFJAR//9BJajQuPTn7VIdWB7GE2Na/qNY5i0BtJOpxB4t5zFOZYV5HIoDeRnpxPenJ+5TbfEA/adg+lRWwgKnXTqvgs1KxvSEf+iH+HhLyzfH9sOQsS11JksO8Gc5h7AHe1v5472o0iyNXxIZcTu9KaTND2ksNbzqLSKP+ucLt3r9XH3gr8CHwGXL6A9rdAX+DqBXpXAZfO9OOAIzW0+xOgBxZSUaEWYBhwAfgKyAPqWgR2QmQk3R56iBEjRhAXF2fThI5u17XifFIuZcX1X7LWGfqMbYtaKz7eEYS63BXdmkKjkbeOHHb2UCqpTCZmffAhfY8dr/pgXh48+CD88QdUU7lalmW2b9/O/Pnz+eWXX8jMzKy2jzk/LuHB+ycRGhro4NHXn9ZFIjBCIrDqYhRX0LmFWRW0BeCqCo9XUEqYu3hj7uINZhkpXY8ipRRFahmK82VkFpsoyywnUqPA4qtB1kjIwTosEa4Yw1wwh+pAW3GNqFSABAR5qHlmZBC9WrrioVNy9HwZ76/NZOgHJ1n77zZ0DrM9cCvX9lwcSKVREt05mITdTevaxBox3ZpfJfeKlWhcyc+sZ2nny6Skn+abP94jPCiK+256utZ9z144xTuzn8LHy59n7/kfbi5XT4OyndpbwXNbP3dYew3hyU0z6R3cAV+dZ7WPy7LM5s2b+fLLL/ntt98wGKy/3pMkiTFjxjB9+nSuv/56VKrGv/5q5RXGn/Hv8vWRP3lj1/d0NRbRmuYXnAcwn1yDPOBJJCvff7Vu3ZpXXnmFl19+mW3btjF37lwWLFhwxQST2uTk5PDpp5/y6aef0rZtW6ZMmcKdd96JR5AP/7ftCzueSeMyyxYe2/Ahf938mV2rsAiCIAiCIAiCIAi2EXdjBEH4R1i37iyjRyswmSoqHpYtmMR11+Wx1bDdySOr8ES3yTzTo/7LQwqCIFwLXHRaCoptv/FYbzYWFLJYzHy24DVyC7N4dup7+Hk7P7BgMv6zwrZ5mcUk7D7HmaMZmB3w3HMvFLF9aQJ7156mVVwwbXuEiWq3zUhbnxa81X8GL/SaytKkLezJOMGBrJMczz2DwWKq9Vg3tQud/VsR59+GAaGdGR7ZE5WiYQLXKSey2LPmVN07OsH+9Um4eeloGRtYr7DtZCrCtvOB6Re3FVARkp1JRVXay1l7C1h98c+r69V5X2zDmukNt7RqBc88Y2WP1dO6qOk9pi0bfmk6gbyatO4SQmh0w1dBFIRrxcMqDcr5C3h98q3OHgq6cgOzPviQEXtrqbb7558wfz7cfjtQERI7ePAg8+fPZ8GCBZw9e7bOfoqKSnj86Xf55cf3HDX0BqVQuuDi3sLq/WVzTfXSr6KUkMNcMIe5YL5Y9FJfaIQXj2Lu6Il+assrdu/7zgkOn9NXfv/G+FAeHx7IyFhPRsb+HeIb0Nqd0R086fV2Aq8vu8AvD0RbPfYqzI03ySOmexiJe85ZW9S+SdDoVER1DHL2MGziF+xhc9i2pKyIj358CZPZwLiBk0nLOFPtfh6uXlgsZt6e/SQAk667j4ycc2Tk/B2qDvQNxdPN26ZxAPyRs5FCQyO+d7dBVlk+z2/9gi+HP3vF9ry8PObMmcOXX37J8ePVTHCoRUhICPfeey/33XcfLVpYf35qKEqFkgc738SYqH5kL36oYnJGc2QxYjr2B+oe0+p1mCRJ9O/fn/79+/PRRx+xbNky5syZw/LlyzGZan8feElCQgIvvvgiL774Ih2mDye/q7rug5qQY7nJrE/dy3WRPZ09FEEQBEEQBEEQhH8cEbYVBOGat2BBApMn+yLLAQCoVCmsWiUzdOhLvL7re2Ye+MVpY5OQeLXvfczoPMFpYxAEQXA2P29P0rNz697RQXKyMkk7UhFMyMytWHZ215GNAPj7BBMd1rba435e9SVHk/YxefQMYqO7Ns5g66BQNK+qTrYyGc0c3JTMiZ2pDRIIMOhNHN+ZRsKec8QNjqJ974h/zM/2WuCuduG2tiO4re0IAAxmI8dzz5KQd5YyUzllpnIUkgIXlQYPjRsd/aKJ9gptlCpA+hIDO1ckNng/9ti1MpGgSC9cjh2z+hhP4GbgO/4O286nIhB7K1XDtta6++KxM4B3gABgI/Al8BDgZk0jR4/a2PuVwtv4Ed0piKTDGQ5pryG4emrpdl2runcUBOFvb73FjIWL8M7L44X7plGucc4qBT6FhXz93gfVV7S9SuGjz5DerRvzFyzg559/5sSJE/Xub936nSxdvoVxYwbYMtxG5e4Vg1SP12hJafvH2/7uKlzUEqm5VUOus+9qSZnRQnqBkUlfVx9uvKSFn5a+0W7sOmvnUu6Kxgt7efm50r5PBMe2pzZan/bqfl2rZlvJ3TfEg9OH0m06NuXCabLyLgAw67c3a9xvQNdRtI/qQnFpxRoDH8z7vyr73D/hWQZ1G23TOABWFm6DZrAgyKJTG7ghegBjWvZjx44dzJo1i19++QW9Xl/3wRdJksTIkSOZPn0648aNQ61uemHMCK0H/gV1T7poykwJy+sdtr2cTqdj4sSJTJw4kaysLBYsWMDcuXPZtWuXdQ1IcD7ciJKm9+9bl9lHl4qwrSAIgiAIgiAIghM0z0+nBEEQrPTppwd55JGWXKqPpdWeZNs2D7p1Cwbgpd730CekA09snEl6aU6jji3KM5SZQ/5Nn5COjdqvIAhCU+Pvc3UNw4Z14thBZv/80RXbPvn5FaDiBuX0ic9VOWb7wXWs2PorvTsNZcyAWxphlNZRqq/9JQOzzhWwfckJCnPKGrwvi1lm//okUhOy6TuuLV7+VkX7hCZGo1QTF9CauIDWzh4Ku1edpLzUyop7TmIoM7FrxUkGFRdTn4j5NGAocBToQEXwdhJgz0LFLYHtwE3A5RHSR6lHgLfEcdXWeoxsTc6FIgqy7QxPNQCFUqL/+PZommnoSBCcIi8PfvoJgMnr/6J7YiJPPDSD/W3aNOowxmzfwVtff4t/YaFV+3vmnOPW9o+xktX17isiIoLbbruNyZMn07lzRwpz9iNbGq96an3p3MJQaer5SqLU2tyfUiExOMaDdSeKuFBgJMTr77BV+xAdAGdzyq1qS5bB7rlaKtufiy3iBrUkLTGHwpym9zp3tdBWvkR3Dnb2MGzmG+Ju87Hto7sw9/W/rN7fnjBtbfSSgWxF86mg+tCq/+Hx1RmO7D9Ur+MCAwOZNm0a999/P9HRdlSqbgSW7ASoY0UPaxw+V8bnG7PYfLKYC4UV713CvNUMbuPBPf386BbpCsC5PAMfrc/kUFoZh8+XUVBmYdYdEUzp7Wdz33JuErKhFEnjavfzCAgI4OGHH+bhhx/mxIkTzJs3j7lz55KSklLjMeoO/igD7O/bGdak7CalKINIj+ZZ8VsQBEEQBEEQBKG5EndlBEG4Zv3nP7v47387ARXLQbu7H+bQoQiioryv2G9EZC+23DKLF7d9xc+Jaxp8XBISD3Qaz//1vBtXta7B+xMEQWjq/L3tC9v2HzqC/kNH1Pj4o//3SpX9h4bfgGSx7m54SvppvvnjPcKDorjvpqftGarDFRYXUFpaiqtr87w5VBuLRebgxjMc257S6MvbZp8rZNk3e+g2vBVte4QhSaLKrVB/Z49ncvZ4lrOHYZXUxGySw7oQlWh9Fd7BVARivwOmAruB9+0cRzIQDwQBv1FR2XYn8DpQDHxrTSNljgvma3Rqhk+OY9Wc/ZQUWF8JraFJEgya0IGgSG9nD0UQmpcffrjiHBGTdo4/XvgPX94wjvduvQVDA1ct9C0o5I1vvuWG7Tvqfey/0LCST4B/A7UHqwIDA5k0aRKTJ0+mb9++KBQVk7Pk0lx06aco8wsFO6rBNhSV2hMX9/ovzy65BdjV71MjAll9rJDHFqTy471RqJX1v+5Lzilnx5kShra1Z8oJSG7+dh1fX0qVkn7x7Vj1w75Gv96uD7XCQK8+ymZ9Te4b5I5KrcBktDh7KDY7o0pDbkb/BCVSOeku1hdWGD58ONOnT2f8+PFonFT1vL4smXVXR6/Lt1uzeeLXNNoE6fjXkADaB+uQJEhI1/PrvnwGvpfI4ZfaEx2g5XR2Ob/syaNTuAsjYz35dW++/U8CGUt2AspQx64e1K5dO15//XVee+01Nm/ezNy5c/nll18oKiq6Yj+XQZEO7bcxycj8cGw5L/W+x9lDEQRBEARBEARB+Edpep+sCoIgOMCMGVuZNas3l05z/v67OXo0lsDA6ivUeWnd+WToE9zQagBv7Pyeo7m1LxFoqx6B7Xi5z72imq0gCMJlvDzcUKtUGE32V2SxigSy1oJUVvf6lyVlRXz040uYzAbGDZxMWkb1rw8erl4E+YVxLjOZc5kVyzgWFOVSbixn15GNAIQFtiAssGXlMQcTd1Ju0KMvr6gkdS4ruXLfuJjeaDV1T8j48dfZTH50BN26dWPAgAH079+f/v37ExTUvCubWMwWti05QfLRTCeOQWbP6lOUFpXTdWh0s765LzQ+o8HErpUnnT2Metndfwph25ahKbeuMqwE3APMBPRADDDQzjE8BxQCB4BLV+2DAH8qKuneRUXIt1YKx1b8dvXUMuLOONb+eJDifOcHbhUKif43tic8pnEDWYLQ7Fks8PnnVTarLBYe+uNPRu7ey4eTJrK8d2+Masd+XOpRUsotGzbw6MLfra5me7WxLKMFn3CWWOAW4MoAmZeXFxMmTGDy5MkMHToUlerv52ApuoBx+6eYT64Giwl1SEeM/e4DRdNZC16pcsPdJxZJqv85XBHQzq6++0a78+GkcJ78LY1+7yYwrZ8f7UN0KCRILzSx+EA+AJ66irGN/fQUA1q50zFMh4dOydHzej5cl4kEvDTGjsqrLr5IboF2PRdb+Id5EtsngqPbUxu9b2t11vyGYtl+DN2noe55H5Ky+S33rlQpieoYxMn9F5w9FJvt0B109hDqzWVwJOXbztX4uJ+fH/fccw8PPPAAbRq5yrkjWDKP2XX89qRiHv8ljdEdPPlxWks0qr/PwUNiPJg+KIBF+/Nx0VRsH9DKnbNvdQJgX0qpg8K2Fc/D0WHbSxQKBYMHD2bw4MF88skn/Pnnn8yZM4dVq1ZhUYO6o30TNpxt8elNImwrCIIgCIIgCILQyCRZbsrz1gVBEOpv4sSNLFr09234yMhtHD3aA3d366oSyLLMroxjzD66lD+TtmC0czkuF5WWia2HMjV2bJNYzlgQBKEp+mvnfpLSGu/GozJDjSqv7pu0x5MO8OZ3/65zvwFdRzF94nMsWvc9v//1Q7X73DT0biYMn1r5/b/fu43s/Ixq9/3gyfkE+NR9s/69Oc9xMHFnle2tW7euDN8OGDCAtm3bNpuwqMVsYdOio6QlWl+FqKHFdA+l56g2zeZnKDhf4r7z7FphfZXYpqLnko9pu/OPGh//noqA7W6gB3AOuFQL6g0qwrIAHakIyG6opo1xwBEqqtherR0QAly9UPIRoBPwKfBQHc8Bd3e4qmKVI5QWlbN+/iHys6wLIzcEpVrB4IkdCW3l67QxCEKztWULDKx7SkCWlxfzhw9l7ogRnA+wL9QeeyaZqatWceOWrbjpy+1qC+AVXuZVXgHOADfg4nKaG264gcmTJzN69Gi0Wu0V+8uyjPno7xi2fADGK89d5rA4jL3vhiYQWlSq3PDw7YhCYdtYZH0BZV8PsXsch86V8fmGLDafKuZCgRFJqlhGvXeUG3f08mVITEXV2mcWnWP9iSLS8gyUGS0EeKgZ3Mad50YH0SbQ9tWLNpwu54/SAcTHxzN8+PBGXbnCYrGwedExUhOyG61Pa8Vo1tJRt6zye8k/Bu11r6EIaOvEUdkmL6OYZd/scfYwbJKvKOK/PrOwSM2vMm/+29sxJRdcsW3QoEE8+OCDTJgwocq5szkpmzcBOc/2ghETZiWxPqGI46/EEuJVv3PwvpRSBr6XyKw7IpjS28/mMQAo245FO/J1u9qor4yMDN5e8BnztLvtbsuUVkTZumSMiblYCspBKaEMdEPbIxjdgHAkFzX69ckYjuVgPl+EpcSI0s8FTVwgLqOiUbja91qccPcCfHWedj8PQRAEQRAEQRAEwToibCsIgkPJskxxaRnZeQVk5xeQk1dIqV6PyWzBYrGgVChQKpV4uLng5+2Fv48n/t5euLrYfkPiEotFZujQjWzaNKRyW4cOm9i3rz8ajW0VW7LK8vk1cR270o9xIPsk54qtWwq4pWcwnf3b0DekI5PaDMNL625T/4IgCP8U6dm5LNtY/yV1baUoUKK+0Hxvql3y0FsTKCzJq3M/Pz+/yuBt//796d69e5O8qSjLMlsXH3dqRduadOwXSZeh0c4ehtAMyLLMsm/2kJ/pvFCmrbwykxk38x5qipV/z5VhW6gI2J4AvqAiKAu2h22HXXwsCbj86vlr4AHgD2B8XU8iLAzS0urayyYmg5n9fyWRsKfmCmkNJSDck77j2uHp13jhK0G4prz7Ljz7bK27fE/FOQ5grQTKznHsaRvDoVZRHI6OJsPbm8xHHsOcnoEmNhb/114GoHTDRvT79sOp0+gzM/F1cWFNeBhdT56q8XwK8A1wPxWVvIuteAqrGMzoyjNrMY89to+PPhpU7b6WogsY1v8XS8r2GtszB7bF2P9+UDnvmlCl9sTdJxaFwr5qwsXfXY+iJN1Bo3KOt1em89/lFc/BxcWF4cOHEx8fz7hx4wgNDW3w/s0mCxt+PcyFpLrfWzSWKPUWuugWUmW+m0KF5rpXUbUd45Rx2WPVD/vISrOtwrUzrXTdwirXrc4ehk30289R/MNhfHx8uPvuu3nggQdo3769s4flEKWf9wazwaZjzRaZoKcP0TnMhfVPxNT7eEeGbRXBndBNmmNXG7b44tAi/rP9a7va0G9OpXj+MZTBbugGRaIMcQOzjCmlAP2WNFRhHnjc05nc5/5C2zMEdTt/JHc15tRCSpcnofDS4v18XyQb710A/Dr2DYaEd7PreQiCIAiCIAiCIAjWc+y6aIIg/GNl5eZzPOksKRcyKTcY69w/r7CIlAt/B2lcdVqiwkNoHx2Jl0f9g6kmk4Vu3TZz+PCQym0DB25gw4bBKBS2V6ELcPHmX3ET+VfcRACyy/I5mHWKE3nJlBrLKTOXIyHhotLgrnYl1rclnQNa4631sLlPQRCEf6IgPx98PN3JK7QmamA/Wdf8KvJcLbcgy6qgLUBOTg5//vknf/75JwBarZaePXtWBnD79euHr2/DVEq0WCwYTSZMZguyLFdOvFGrlFUqxR7efLZJBm0BjmxLwcPPlVad7VgeWPhHyEorbJZBW4CCwJZkRMURfMb6ZYLftmKfYxe/ANKBUuC3i9/HXvwCeBy4ERgB/JuKwO4O4K2L+1xvzYDi4qzZyyYqjZKeo9oQ2S6A7UtPUJyvb7C+LlGqFMQNiaJdz3C73tcIwj/eHuurSXoA38sw9+BBhhz8+3y4yN2dicXFuCgURKel8cYHH+FiMPDi8RMUl5bSXZbZARjLyuh28lStfZwDngJCgYJa9/zbQJc9uMhHKNN3BNz5+ONBHDiwgbVrB6G6bOlvc8oOylc8DYbar6uVmQlIq9/G2ON25MDGXj5dwsU9Ep1bGJKkqHv3apjNZtauXcu3337LeM8EborzcvAYG9f+1LLKv5eVlbF06VKWLl0KQPfu3YmPj+eGG26gS5cuDbLaglKlYMikjmz5/Tipic6vcNtG8xcdtX9WDdoCWEwYVr+IXF6MuvMtjT42e8R0D2t2YVszFrZrrb82bGpcu4fy6bCnuGXSJFxcXJw9HIeRLWabg7YA2cUmyowyEb5VV4IzW2QuL9GjVNCgq7zIJtufhz0OZp2063hjUh7F84+hbu+H54PdkNR/v55pYv1xuS4Kw9Fs0CjxeX0wistX3Wvrh8LHhaKvD1C+PwNdb9snVRzMOiXCtoIgCIIgCIIgCI1IhG0FQbCZyWwmKfU8x5NSyM6z9vZQ9Ur15Rw9lczRU8mEBvrTPjqSyJBAFIq6b7oUFxvo2HE3Z88Ortx2000bWbRoiF1jqo6/izfDI3swPLJH3TsLgiAIVpMkifbRLdh24Gij9CdrZGSVBclk2839puDwKduXIC0vL2fLli1s2bKFd955B4DY2NjK8O2AAQOIioqq9w01i8VCbkER2fkFZOcVkJNXQG5hMRZL1XCzTqvB39sLfx8v/Lw9UZvUHN561ubn1Bj2rD5JSEsfXD2bXlVgoelI3Nv4VU8dKbH3jfUK21rjF+DVq7ZNuvjny8ArF/9+A7COigDvY1QE0CKA6cDzQNUoQDW6d7dvsFYIauHNuPt7cmDjGU7uO4/Z1DATOEKifOgxqg1eopqtINhv716rd70V+BH4DLh8Uebfi4vpCxRaLPgXFjJ+W0XV2OuAS1eUl6p31+VBYBDgy9+TD+riWlbC+f0qut60leTk/gBs3DiEyMgd7NnTgdBQD0yn12NY+RxY6p4EDaAoyUaz8RPMrQZi6nxDo1S5VarccfNqg0rtZtPxSUlJzJ49m++//560i5XMFT18mnXYtkhvZuPJohof37t3L3v37uWVV14hPDyccePGER8fz7Bhw9Dp7F8p6hKlSsnAibHsW3uaE7udcz2jwEQH7VJaazZWH7StJGPc+BaSUoWqw4TGGp7dWrQP4NiOVPIyGmeSqSNs0e2lUGnfeE1pRZStS8aYmIuloByUEspAN7Q9gtENCEfhduVVnizLFLy/C9OpPHSDI3GfHFtDy3WzaCQGjB9+TQVtAavP87bo/78EDp/7e1LZG+NDeXx4YIP1Z09o2B4Hs2ufGFOX0hVJALjf0eGKoO0lkkqBNq7i5ya5V30no4qqeN2y5JVVeaw+DmQl2nW8IAiCIAiCIAiCUD8ibCsIgk2Sz6Wzbf8Rysod/2HY+cxszmdm4+XuxsAenQny86lx3+zsUmJjj5KV1f/iFhPTp+9g1qzBNR4jCIIgNE2tIsPYczQRg7HhbhpVksDsbUKVbVV0q0ma/EA8bfr4sXXrVrZu3UpOTo5d7R07doxjx47x9dcVyygGBwdXhm/79+9Ply5dUKvV1R5bUqYn4UwKCWdSKdWXW9WfvtxAWkYWaRlZIIM6WYfC0rTDz8ZyMzuWJzD01k4NWtlHaL4sFpm0JlANzh5pbfthUShRWMxVHpt68asuVwfNXuHvQG1dhl78slmPxpkUp9Io6TGiNZ0GtCDpcDqJe89TlGvfjXIAtVZJdOdgYrqF4uVvWxBNEISr5OVBUpLVu0+mImw7n4qwP1SE/xcCM4GPrtq/vlcv84CNVFT8frGex3qfPsrp0xO44YYNLFs2EFBy4UIfoqNPsuOXlcSkvANy1fN3bSRkVKc3oUg/iiluApbQjmBjtdla+5FU6NzCbKpmW1ZWxqJFi/juu+9Yv359lcd/P5DPOxPCCHBvnh91z9+dR5HeuokbaWlpzJo1i1mzZuHq6sqIESOIj49n7NixBAfbvwKDQqGgx8g2hLf1Z8fShEap4n6JtyKFHi7z8VSmW32MYf3roPVC1Xp4A47McRRKBf3i27H8u73IFrnuA5wso8TCMr9NdrWh35xK8fxjKIPdcBkRhTLEDcwyppQC9JtTMSXl4znjyqqc+g0pWLJK7er3coeyTtLKK8xh7TUJktKuw/3dVbioJVJzq362P/uulpQZLaQXGJn09Rm7+rGKwjnn7rQi21fVkS0yxoRcVC08UfraFuQ2nqj4DEcZYt8KeeeKs+w6XhAEQRAEQRAEQaif5vkJpCAITqMvN7D9wFGS0i40eF8FxSUs27Cdjm2i6NYhBpXyyg8Rz5zJJy4uhaKinhe3lPHii4f5738HNPjYBEEQBMfTqFX0iYtl057GWaLS7G1Cma1GovmFJn1DPBg2ujvDRle85smyTEJCAlu3bq2sWHvqlH1VWtLT01m4cCELFy4EwNXVld69e1dWvu3Tpw8l5UaOnT7L2fMZyLLtN4uV2WoU5U07aHvJ+dO5JB1Kp1VciLOHIjRBhTmlmIy2Vzmd8mLdMdObht7NhOFTKdOXsHTzfHYd2UhuYRZuOg9aR3ZgwrC7CQ+KsnkMFrWG/MCW+KaftrkNp2qEyraX07qoad8rgnY9w0lPzuPMkUxyLxRRkF2CtadFVw8tviHuhLX2I6pDECqNfeEJQRCucvx4vXb3BG4GvuPvsO18KkK1t1I1bFsfmcDjVFTwDrelgWPHUEycyNKlQ3j99T289FIbwIvekfm0OP0/UNUvaHs5RUkOmm1fY3H1wxzdD3N0X9DaFwACUJQWoAvugdYloF4hW1mW2bt3L9999x0//fQTBQU1r6hkMMn8sD2Hp0YE2T1eZ8gNGkRw8HrS060PmQKUlpayePFiFi9eDECvXr2Ij48nPj6ezp072zU5LLiFD2Pv78H+9Ukk7j1vczvWUGCivXYlbTR/oZDqex0lY1j3Corgjijcm8e/v0+QO50GtODQpmRnD6VOv5XuxiiZbD7emJRH8fxjqNv74flgtyuqf2pi/XG5LgrD0SsnqpmzSyn9IxH3qZ0p+nK/zX1f7kDWSW5qPcQhbTUVklJdEbit5wSLS5QKicExHqw7UcSFAiMhXn9PrG0fUlEx+2yOdRNp7SUpG38StCzL6O2oqCsXG8BgRuFnW9DWnKen5I9EVC080XQKsHkcgF3PQxAEQRAEQRAEQag/EbYVBMFqZ89nsGXfYfQNUM22JjJw+OQZUi5kMqhnHIG+3gAcOJBB374F6PWdL+5ZwMyZyTzySK9GG5sgCILgeK0jQ0k+d4GUC7ZXGLGaCiyeZpSFze+SuG330Cu+lySJdu3a0a5dO+69914AMjIyKqvebt26lb1792Iy2X6jtLS0lL/++ou//voLN3cPbr9vBr0HOKCSvEFCmdO8/g32rj1NZLsA1NrmNW6h4eVeqHkJaGu8PP2zarebzWa+XPgWeYXZxLXtDcD78/6PM+cSmTDsbqLC2pJbkMUfG+bw6lcP89bD3+LvY3t1u9ywts0zbNu6NYSG1r1fA5AkiZAoX0KifAEwGczkZRaTc6GI4nw9ZqMZs9mCQqFAqVKgc1PjG+yBb7AHLtUsKysIggOVlNT7kGlUVNk+CnSgIng7CbA3evovoC0ww9YGLnsuL77Yg+7dk5h2+xl+uPs5tCrHrA6hKM1BcWQJqmMrsIR3wRwci+wTgewRaF3FW6MeKT8NRW4KypTdKPLTUF33GlL7eKv6z8nJYd68eXz33XccOnTI6nF/uzWHJ4YHolA0r4l0itCuvPbId7zysYW9e/eyZMkSlixZwoEDB+rd1q5du9i1axcvvfQSERERlcHbIUOGoNPp6t2eWqOiRw+JsISPOV3ejzRjVywOvJ2goowWmt20Um/GXWnHygCGYgzr/4s2/pNms/pEx36RpCZkk5dR7Oyh1Khdr3BcCn8DO/5pSldUVBV3v6PDFUHbSySVAm1c4BXbin88irq9P9quQdh3Zf23g9n2TURtslx8oNT2f6CnRgSy+lghjy1I5cd7o1ArnfT741LzqnYNxWBphBWVamApMVD46V6QweO+Lkh2vm6Vm533XARBEARBEARBEP6JxN1hQRCscuTkGXYeql81GEcqKC5h+cYdDO3dldMn9IwaJWEyxQAgSVn8+GMOkyfHOW18giAIgmNIkkT/rh1Jz96EwWh7MNRaZh9Tswvbal1UtIgNrHO/oKAgJkyYwIQJE4CKsOzu3bvZsmULW7duZdu2bbVWCKtJ1159mfLAQ3h6O+aGmDJf1eyqCxv0Js4cySCm+zW2FKlgt5x0+yIBrSNiq90+Z+lMsvIucM/4J2gV3p6MnHMkJB9i/JApjB14W+V+QX5hvPbVw+w+tpnr+0+yeRy5oTGwd7nNxzvLr76+dEtKolWrVs4eCiqNkoBwLwLCvZw9FEEQ9Pp6HzIYaEVFyHYqsBt4385hLASWAPvB9iufsrIrvr3++miOffsk2nO59g2uGpLFhDJlD8qUPQDIKi2ydzgW73BkrTso1aBQgtkIZiOK4iykvFSkokwkriztbdj8PxQRvVG4V38NazabWbt2Ld9++y2LFy/GYKjfJO+QkBDumDqV8pAcXDJ22faEnUQVdwcACoWCnj170rNnT1577TVSU1NZunQpS5YsYf369ZSX16/CZGpqKp9//jmff/45bm5ujBw5kvj4eMaOHUtgYN3vJQBks5HytS/jo0imh0synbSLOWvsTZKhH6WyX72f6yVeinNEa7YQod6HSnLMhH7L2a2Yj/+JKna8Q9praAqlggE3xbJ6zn7KS5teUC4g3JMuQ6K48JPtQU7ZImNMyEXVwhOlr3XVP/VbUjElF+D9smNXLbtQkuPQ9poKRUA7LGe32Hx832h3PpwUzpO/pdHv3QSm9fOjfYgOhQTphSYWH8gHwFP3d1D69/0V285crHq7P6UMd03Ftpu6ets0DkVge1ufgs3UCvs+B5LcNaBRYskpq3vny1hKjBR8vAdLvh6vf/dCGeBq1zgANHY+F0EQBEEQBEEQBKF+xLswQRDqtP/4SfYdO+nsYWC2WFi7bS9fz4zCZKr4EE6pTGPFChMjRrRz8ugEQRAER3F10dG3Swc27j7Y4H3JLhbMns0rcLtu/yLKFyRz00034ebmZvVxrq6uDB48mMGDK6rRWiwWjh49Whm+3bJlC2fPnq3xeI1Wy10PPkKfgXUvc281S0XYtjlK3HueNt1Cm031LKFx2FvZtjpb9q9mzY7fGdx9DMN6VlQFVCqUALjorjwHuOrcAVCr7KuUmhMaY9fxzqAHHty1i/yYGG6//Xaef/55YmOrDy8LgvAPY8NrtQTcA8yk4vwSAwy0YwjFwEPAI0AokH9x+6WYYT6gBuq8slNcWRnSdGod2nPr7RiZ9SRTOVL2aRTZNlQ+Ly/C8NfraMd9fMW1U1JSErNnz+b7778nLS2tXk2qVCpuuOEGpk2bxqhRo1CpVFiK0tH/NAkMTbda6OWUUYNQthpW7WMRERHMmDGDGTNmUFJSwpo1a1iyZAnLli0jIyOjXv2UlJTw+++/8/vvvyNJEr17966setuxY8car2dN++YgZ/098V6rKCFGu542mr8osISQb44gzxxOvjmCAksoFtRV2lChx1uZdvErFR9FKu6KLFt+Letk2Pweisi+NYa6mxovP1eG3daZtfMOYDSYnT2cSj5B7gy9tRMqtdKu5enlYgMYzCj8rAvamvP0lCxMwG1CW5Te9a/EXJtyO55HU6YIbG9X2BbgvgH+9Ipy4/MNWXy6IYsLBUYkCcK81fSOcmPZw60YEvN3Xfc7ZydfcfyXm7P5cnNFKLukaxebxuCMsK1CUqBVqm2uCispJDTtfDEcycacp0fpU/f/2Yqg7W4s2WV4Pd4TVbi99fIr6Ox87ycIgiAIgiAIgiDUT/O8sy0IQqM5nJjUJIK2lSSY9nAy+jJfThwuZMsWd3r0CHf2qARBEAQHax0ZRmFxKfuPN/xrkCnIgKJEiWRu+qHJ/Se28+W8D/lyHri5uTFx4kSmTJnC0KFDUSqV9WpLoVDQqVMnOnXqxIwZFYsZp6WlsXXr1srw7cGDB7FYLLi4uvHo8y/Tpn0Hhz4fRZESydL0f+7Vyc8qISu1gMBIb2cPRWhCSosceyM/+fxJZv/5AdFh7bg7/rHK7f4+wXRr359VW38jKjSG6LB25BZmMXfZJ/h5BdG3c/XBHWuVevnbO/RG9zOQC2CxMG/ePH788UcmTJjACy+8QNeuXZ08OkEQnMrFuqDX1aYC/wFmAW/YOYRsIIOK6rjVVcj1AcYDf9TV0GXPRS7Lx7DhTTtH1ngsyZsxn1iKseV1LFq0iG+//Za//vqr3u3ExsZy7733cuedd1ap0KrwCEYz4AkM619z1LAbjtYD9ZAXrJq45ebmxo033siNN96IxWJh9+7dLFmyhCVLlnDo0KF6dSvLMjt27GDHjh288MILtGzZknHjxhEfH8/gwYPRarUV+xnLMO77vto2JEnGW3keb+V5WrITAIuswCi7YEaNBSUKTCgxoZFKkSS52nYczlCM6cCPaAb8u3H6cwC/EA+G3x7H+p8PYdA3/MoudfENdmfYbZ3R6CqC00ZL442p+KejKMM90A5w/Oe8BrPzf7YNwVEh1c5hLsy6I9KqfUtmdnFIn5dTBDpnglyQqy8pRfWbvHA5l9HRGI5kUzzvCJ4zuiGprpwQI5stGI5mo+0ceFnQthTPx3qiivS0d/iVAl0cs+qQIAiCIAiCIAiCYB1JluVG+rRLEITm5nTqeTbsOuDsYVTLaIDeHTrStbN1HwQKgiAIzY8sy+w6fIIjJ880eF+KIiXqc9oG78ceJWVFPDfzHvKLqi6BGRYWxh133MGUKVPo2LGjw/osKipi2/btJGUWoHGxvoqutdTJWhT6+oWEm5IWsYEMvElUzhT+9ttH29CXOCZwW1RSwH++mE65sZz/zvgSP+8rA0Ums4kflnzEhj3LKrdFBEfz7zveIMAn2K6+NaWF3PJm81iG+ZJeVCzzXp2xY8fywgsv0Ldv38YckiAITcWePdCzZ527fU9FNdvdQI+L254DTgBfACEXt3UE/IEN1bQxDjgCJF+1XQ/sqGb/t4GNwIqLbdZ5Fff22/DsswAYtn+Gac83dR3RpOQbNXR6PYHcvIJ6Hefh4cFtt93GvffeS69evWoNqMqyTPmfD2NJ2WbvcBuUZsR/UbUbZ3c7Z8+eZenSpSxZsoS//voLg8H26xB3d3dGjRpFfHw8N7QF7e6P7B5fo9N54XLPSiSVYyujNrT8zGLW/3zI4RO36iOohTeDJ3VEo/27PkvUdxMoNpbZ1J5skcl5fC2qMHe8n639Gqx8bzpF3x7E6+neKIP+ft+Z+8Q6tAPCcZvQFkmrRFIqamkFkGXCMdNJNtHRYqSTbKSVbMJdkvBWaUBSglKDpPVEERCDIjC24iugHZLWMVVGG1PK8T34r73f2cOwj4svLveudcqKMVNXv86yM1vtakO/OZXi+cdQBruhGxSJKtQd2WzBlFqEfnMqqlB3PO6No+D9XZhSCnCb1A5VS+8r2lB4aFAGuNo8hqe738EzPe6063kIgiAIgiAIgiAI1hNhW0EQqlVSpmfRmk0YjE135r+Xhxs3Dh+Aqp6V/ARBEITmQ5Zl9h07yYETpxq8L9V5DcrCprvww6zf3mLrgdV17te1a1emTJnC7bffTlBQkF19Gk0mVm3ZTUZOnl3tVMsM2pO231BqCtRaJbc8OcApNwaFpumXD7ZgKLP/+tliMfPu989wPPkAz059j9joqpVZv/n9f+w9toXxQ6fQMqQNBcW5LNuygOLSQv5v2gf42xG4lc1Gprw80p6n0KjmA7dbsd+wYcN48cUXGTJkiPi9FYR/krIy8PAAc+3LtH9P1bBtda4O2x67+AUV4dkU4POL38de/KrJVOA3oLjWkV1mxQoYPRrZbKRs9mgoy7X2yCbjlq+TWHa40Kp9Bw0axLRp07j55ptxc7N+4pelKB39/Fuh3Lp+GpsyagiasR84/LWoqKiINWvWsGTJEpYtW0ZWVpbNbW17pi1x4bZVhXY2zXWvomp/g7OHUW/lZUb2rjlF0mHbK23aQqlSEDc4ina9wlEorvw/GTtnMlll+Ta3Xfj5XgxHsvF5YzBKn5oD0CVLTlK27HStbXk82BVtl+rf34bLJm43lzHJUkYgFpvGqgiMRdXxZpQxo5HUTff/vtlsZuXKlXzxxRcsX76cHc/E0DGs6Y63Lsr2N6C97lWn9P3hvp95c/cPdrdjSiukbG0yxsRcLIXloFSgDHRD0zkAlyEtkMtN5L24qcbjtX1C8Zja2eb+5416mVEt+9h8vCAIgiAIgiAIglA/TTdNIAiC08iyzNZ9R5p00BagoKiEfcdO0qtTO2cPRRAEQWggkiTRvUMMbq46dh48jqmOkIQ9TMEGJKOEoqzpTeJYtvlnq4K2APv372f//v08/fTTjBw5krvuuovx48fjYsMSylv2Hm6YoC0g6euoSnSZKS8OrXOfm4bezYThU9myfxUHEndy9sIpMnLS8PMK5MOnfq72GH15Gb+t/ZadRzZQUlZIiH8k4wbdTt/Ow6wal7HcTHFeGR6+zTs0LDiOQmH9/+va/LzqS44m7WPy6BnVBm0PJe5i497lPHLbK/TqOLhye8fWPXni/dtYtP4HHpj4rM39l6o1nAqNovX5hq8sbq9ibw92x9+I+uefMRqNte67fv161q9fT79+/XjhhRe4/vrrm3bo1mSCY8dg/37IyqoIDJpMoNNVLCXfpg107w7B9lUyFoRrnosLxMbC4cMN0vwvwNUxoUkX/3wZeMWRnXXvDoD59LpmGbQFeGCAf61h25CQEKZOnco999xDmzZtbOpD4RGM9oZPKP/jQbCxKmdDUQR3RjPqzQZ5/fHw8GDChAlMmDABs9nMrl27WLJkCUuWLOHIkSNWt9M7yrXZBm0BTId/bZZhW62Lmn43tCeyXQA7VyRSVtzwVW79wzzpG98OL7/q38+EuQfYFbZ1GR2N4Ug2xfOO4DmjG5Lqymtl2WzBcDQbXd8w1DG+VY4v/HA3mrhAdMNaoAq7svKsJMsMlg1MMZcyTC7H3qtwS+YxDOtfg60fomp/A6qOk1D4tLCzVcfJyMjg22+/5auvvuLs2bOV27/aks3MWyOcODL7qDrd4rS+uwTY9hpzNVW4Z+1hWQ8N/rNGO6Sv6sQ56HkIgiAIgiAIgiAI1hFhW0EQqjiVcp7U9ExnD8MqRxKTaBkaRKCfj7OHIgiCIDSgdlGRhAX6s3nvIS5kNVCwQAHG8HLUKToU5Y4JzDlC664hvHvXC3SdH82cOXM4evSoVceZzWZWrFjBihUr8PDwYNKkSUyZMoVBgwZZFQg8c+4CSWkX7B1+jRT1CNu+PP2zarebzWa+XPgWeYXZxLXtDcCWA2soKM6lVVg7ZNmC2Vzz5KGPf/oPSedOcOvI+wn2j2D7wXV8/st/kWUL/eKus2psOReK/tFhW1mWMZabMBktWCwyCoWEUqVAo1M17RBjA1Gp7T93bD+4jhVbf6V3p6GMGVD9zeezFyqqfUeHtb1iu5uLO0G+YaRl2heSNUkS/37wLf54+XaUsm3VwRrLY5NjeOGtt/n3G2/wv//9j6+//hq9Xl/rMdu2bWPs2LF07dqVF198kRtvvNFhQWm7mM2wfDmsXAl798LBg1DHcwEgNLQigNerF9x+O0RHN/xYBaG56d69zrDt1Itfdbk6svgKtgdqv7/4ZY1UQrhx9FFGT1AwNfQzwmzs09mua+9J6wAtp7LKK7epVCpuuOEGpk2bxqhRo1Cp7P/IWhncGe3YDylf+jiYrDiXNgIpoB3a+E8apWqmUqmkb9++9O3blzfffJMzZ86wdOlSlixZwoYNG2qdoHJnr6qhx+bEknEES85pFH6tnD0Um4TH+BMQ4cXBjWdIOpSOyej4azFXDw3t+0TQtkfVaraX6+zfmgNZJ23uRx3tg/vkWIrnHyP/zW3oBkWiCnVHNlswpRah35yKKtQd7YxuKP2rf0+l8Nahaet3xbZWson3TAV0k2ufaGWT8iJMB37EdOAnVHGTUfd92GmVbmVZZtOmTXzxxRcsWrSo2t/bBXvyeH18KJ66pjdpuC6KwFiUQR2c1v+1EFL103gS7OZX945NTLnZwPHcZA5mneJ0wTlKjXr0ZgNKSYFOpcVX60FH/2ji/NsQ5h7wj/xsQRAEQRAEQRCEpkuSZVl29iAEQWg69OUGfl21EUMdVaGaEm8Pd24aMRCF+NBFEAThmifLMseTzrL7cELDVbk1gzpNh6LM+cGrdj3D6D6ideWNBVmWOXDgAHPnzuXHH38kM7P+k2MiIyO58847mTJlCu3aVV8dvqy8nEVrNqMvb7hqSqpzGpRF9gUp5iydyZodv3PP+CcY1jMeAIvFUhmae3/u86RlnKm2su2BhB28P/d5/jXpRfrGDa/c/s7spzmXmcxHT/+MQlH3Dcv2fSLoPrx53sivL1mWKcotI+dCEbnpReRcKCIvoxhjedXfRZVagU+wB37B7viGeOAX4oGnn+s1f5Ns9Zz9ZKYW2Hx8SvppXv3yYQJ9Q3h5+mfoNNXf2N+yfxVfLnybh259iT6d/q7EXFRawBPv306H6G48fsd/bR7HWa2az8P9efHHd5mx9Dub22loC3uG8OC9cTzQcTxv9H8QqKj69cEHH/D5559TXGzdwuyxsbH83//9H7feeqtDAl71lpkJ334Ls2ZBSop9bUkSjB4N//oXXH89KJtf8EIQGkL5+++jfeopZw/DLr9zA3fGT6TDiPlsIN3Zw7HLB2szeOnPC8TGxnLvvfdy5513EhgY2CB9mc/to3zpY2Cw7jWhoShCuqKN/xhJ61H3zg2ssLCQ1atXs2TJEpYtW0ZOTs4Vj+96ri0dQu0LFx4+V8bnG7PYfLKYC4UVnzGGeasZ3MaDe/r50S2y+mDlq0sv8O7qDNqH6NjzvO0rWWmG/QdVh5tsPr6pMOhNnDmcTuK+8xRkl9rdXkiUDzHdQwlr42fVRKM5x5bz5OZP7O7XlFZI2dpkjIm5WArLQalAGeiGpnMALkNaoPDQVHtc9oMr0Q2OxH1yLAAKWeZ+SylPmIvQ2T0q60heEWiGv4IyrFsj9QgFBQXMmTOHWbNmcezYsTr3f//mMB4cFNAII3MszfBXUMWOd+oYxi5+kl3pdf+Mm6qyjSkMyI3g0UcfZfTo0U1jAmE1ZFlmX2YCCxLXsifzBCdyz2K0WLeqor/Oi07+rRkW0Z1bY67DR+f811FBEARBEARBEP7ZRNhWEIQrHEpIYveRE84eRr2N6NedyJAgZw9DEARBaCQlZXpOJKWQcCaFMgcGQrUaNTEtwmkdEc6R9WdJOZHtsLbrQ1JIxA1uSYe+kTWGE00mE2vWrGHOnDn88ccfdVZyrE7Pnj256667uO222/D396/cvn7nfs40YFVbAM1pHZLR9htBW/av5suFbzG4+xjuu+npavepLWz77e/vsePwema9sATlZWG07QfX8fmvr/PSA58QE9mxznEEt/Tmuju62Pw8mgNjuYkzRzJI3Hee/MwSm9vx9HMlpnso0Z2C0eiuzUVW9qw5xYldaTYdW1JWxEufTyenIIMHJjxHkF/1NQs9XL3wcvfl+U/uoay8lBsG30nL0DbkF+WwfMsCUjOSeG7q+7SP7mLz89jm6criAC80RgOz35vBkENbbW6roRyK8OTGJ3pS5KLGU+PGoTvn4ab+O3aRk5PDzJkzmTlzJvn5+Va12apVK55//nmmTJmCRlN96MOhzp+H556Dn3+Ghpjs2KIFPP883H8/NNEb74LQ0I4dO8YXX3zBrtmz2Vli+2tYU/DsyP58N8GDW82lvGsutKut+gYhlx4q4JO/MjmYVoZZhha+Gv412J9p/f2ra75OSSXulAx9j169ejXKRBxLdiLlq/4POfd0g/dVHWX78WgGP+u06pi1MZvN7NixgyVLlrBkyRLOnDxOxv86o6yl2mldvt2azRO/ptEmSMe0fn60D9YhSZCQrufXfflsTyrh8EvtiQ7QXnHcwbRShn5wEi8XJX7uKrvCtqpOk9AM+T+bj29qZFkmIyWfcydzKia8pRdjNNQ9+dTFXYNvsAd+oR60jA3E069+K3IczDrJdYsetXXYDtVCNvFRQ1WzrZNUUeW2/2NIyoa7Rty3bx9ffPEFP/30E6Wl1oerY0Pd2PlsG+z4tW18Om9cpi53+nlx4cm/eHD9u04dgz3y/rsF87mKySStW7fm4YcfZurUqXh5eTl5ZBVKjXoWnd7I7KNLOZR9yu72dEoNN7UezLQO4+gSEOOAEQqCIAiCIAiCINSfCNsKglBJlmV+XbmBotIyZw+l3sKDAhg1oKezhyEIgiA0MrPFwtnzGRw/fZb07Fyb2/H38SK2VQuiwkNQXQxeyrLM2WOZ7F51kvIy6ypuOIJPoBt949vhG2x9tY7CwkJ+++035s6dy4YNG+rdp0qlYsyYMUyZMoXuffqxfueBerdRX5pEFySLbXcDk8+f5L9fP0J4YBQv3v8xalX1NzxrC9u++uVDWCwWXp3xxRXb0zLO8Pwn066ollsb7wA3xj1wbV6DFOSUkrA7jTOHM6y6mW8tpVpBVMcg2vUMxzvAzWHtOlNmZiZLlixh/5ZE+rS+3qY2jicd4M3v/l3nfgO6jmL6xOfIL8rlz43zOHRyF7kFWbi7eNIitDXjh0yhdUSsTWO45NcAL/Z4VoQxXPSl/PzmNHqcPGBXm450MsiN+Kd6k3NZFbQPBj3GlPajq+xbWFjI559/zvvvv092tnUTKCIiInj22WeZNm0aLi4NEACQZZg3Dx59FKwMAttl6NCKyrlRUQ3fl9B0WSxw8iTs3VvxdeAA5ORAWRmYzaDTgZsbxMRA9+4VX127gru7s0debwaDgd9//50vvviCjRs3Vm7fBAx03rDsUqpW0PntoRS4qXndVMAUi+2f29Q3CPnemgxeXXqB+/r7c31HT9RKicQMPTLYXklRpcNl+hYkK1YRcBTZbMC46ytMe78HuYFWyLiK5BaIZthLKFsOaJT+HCFlz3L8t79g8/Hbk4oZ+fEpRnfw5MdpLdGoqk72WLQ/n77RboR4qSu3mcwyA99LpH9rN46cKyO7xGxX2FYR1BHdLXNtPr6pq1xxIr0IfYkBs8mCxSyjVClQqhS4e+vwDfbA1UNbd2O1MJiNRH03AYOVFSgbSkeLkTmmXPxw7q0sRWRftGPed2hAtKysjAULFlRMDNm1q17HRkRE8MADD3Dvvffid3o+pv3N5/+8ZtSbqGJse9/kSOVmA13m3UW23vbVSZzFeDKXgver/p9xd3fn7rvv5uGHH65xNaOGZjSb+OTgr3x+cBEFDVRZvntgW97sP4NugW0bpH1BEARBEARBEISaiLCtIAiVUtMzWb11j7OHYbNJowbj6X5tBDYEQRCE+ivTl5OdX0B2XiE5+QVk5xVQUla12quLTou/tyf+Pl74eXvh7+OFm0vNi1CWFRvYtTKR1ISGrXIrKSQ69o+kY/8WKJW2VyA8e/YsP/74I3PmzCEhIaHexz/+wmt07Nrd5v6tpTnhgkT9w7ZFJQX854vplBvL+e+ML/HzrnnJ4drCtk9/OIUA3xCeufvKKjb5RTk88s7NTBpxHzcM/n/27js6iqqN4/h3tqf3hJAAIQUILfTeu3QRUFBUsCDYwYoNfS2gYqdYQRGQooKACoKANOmETuiEnt6zdd4/IpGQti3ZBO/nnBzN7My9z4bsZnfnN8+9u9x6vPzcGDKxrc33oyqzmC0c2naeQ1vOYbFU3NtFSYKG7WvTtHMEyhKCGFVdQkICK1asYPny5Wzfvh1ZlgkNrMW7T33n6tIc9mF4IFe0/wZgPHOzmfv+BDoc3eXCqgocCvPizidacc2naHikcUAkf97xWakdEnNycvjyyy957733uHTpklVzhYSE8Mwzz/DII4/g6azA4aVLMH48rFrlnPGs5eEB771XMLfocvvfYbHA+vUwezasWwdZWbYdL0nQuDHcdx+MHQv+/hVTp5OcP3+ezz//nK+//pqrV68Wu/0uYFHll+UU33cM5+kxBR33lxtTaG5nZ0dbg5D7zufSZUYCrw8KZVIv564mpBu9DEVAlFPHtIb56mEM616r8C63yoZD0HSajKStXstdG+N/wPjXdLuPHzbnNH8ez+Lo1IZFwrTlmb7mCnO3pbB7SgOGf37a4bAtSk1BoFtpfQ1CyR74421+Ob3ZZfM3txj4zpSGt4uDttcpQuPQDp6JpHHsM+iEhATmzJnDvHnzSEtLs/o4SZLo27cvEyZMoH///qhUBSuGyKZ88heNQk4/61BdlUEZ2R1N/xmV0tncGm/umMfH+xe7ugybZX4Vj2F32SsS9enTh8cff5z+/fujqKT3AIdTzvD4xhkcTK74bvIKScFjccN5tuXd6Eq5CFsQBEEQBEEQBMHZbs21OwVBsMvRU+ddXYJDjp1JpE0T11ytLQiCILiem05LrRrB1Krxb/hSlmXMFgtmswWlQoFSqbD5hI6bp4YudzTi0qlUju26wOXT1p8Is4ZSpSCiUTCxbcLxDXY8zFWnTh2mTJnCiy++yO7du/nuu+/44YcfrOro6B8YRMOmzRyuoVwydgVtLRYzMxe/QWpmEs/f/36ZQVtrlFWDtfVZLBaHaqhq0q5ms23lMdKuVkz3mRvJMhzedp4LCcm0H9SAwJreFT6nIywWCzt27GDFihWsWLGCY8eOFdvnSsoF8vJzcNNV3wvADBJc0xT9qCDb3ZMxL3zJJzOfY8DOtS6qDLbU8+f+8c3J8CgenDmUcpozmZeJ9KlZ4rEeHh489dRTTJgwgXnz5jFt2jTOnj1b5nxXr17l2Wef5Z133uHpp5/msccew9fX1/47sHUrDBoENgQqnCYnByZOhN9+g8WLoSI69gpVR1oazJtXELI9ccL+cWQZDh6EZ56Bl1+Gu+4q+D1qXXU6ulssFtauXcusWbNYvXp1mX+XfwKuAs6NjFaOuV1rAaCSZWIdWEL9vbXXUCokPrmzVolBW4BhzX0L/3/O5mS0KokJ9nawLYPl2hGXhG2VIY3Q3bUI86n1mA4swXJ5nxMH16Ks3w91k5Eogh3rMu8qctpZu481W2T+OpFFi1puNgVtj17OZ/qaqyx8oC6eWid1OzYbkLMuIfnWcc54/2HjGg10Wdi2gcXIt1UoaAtguRyPfvUktIM+QVLZ1jnYaDTyyy+/MHv2bNavX2/TsYGBgYwbN47x48cTGRlZ7HZJpUPTayr6ZWOhCv28itH5oOk2pcoEbQHub9ifOQd/Qm+2/+9rZbOk5WPYf6Xc/dauXcvatWuJioriscceY+zYsfj4+FRITUaziU/2L2HG3kUYK6kbtkW28Mn+Jaw59zefdJskutwKgiAIgiAIglApRDsTQRAAMJpMXLhyzdVlOOTMhbKv5BYEQRD+eyRJQqVUotWoUamUdp/QkSSJsOgAeo6KY/CENsS2DUejc+y6NS9/N1r2jmLYE+1pP7CBU4K2N5IkidatW/Ppp59y8eJFVqxYwfDhw9FoSu/20bX3bSiUlbCcrwSyZPsJwB/WfM7h03u5s894GkY2d6gET3dvsnMzi22/vs3D3bouZNWxI2tJZFnm8Lbz/PbNnkoJ2t4oIzmXNfP2Er/pDFVt4ZX8/HxWr17Nww8/TFhYGB06dGD69OklBm2h4Oe4+4jrOn85w2EPHZYSnivzNToefupjnpg4nXQPbw4AY4G6gA7wBFoA7wKp/xyzBXgQaAloAQk4W8q8HwHD/hlPArrdcFuuWsFLIxow7KnWJQZtr4tPSij3/mm1WsaPH09CQgLz5s2jfv3yT8impqbyyiuvUKdOHV566SWSkpLKPaaY33+H3r1dE7S90cqV0K8fZBZ//hNuARYLfPwx1KoFkyY5FrS9WX5+QYC3TRu47TZITHTe2HZITk7m3XffJSYmhttuu42VK1eWewGMAfiqcspzqt11fThQuyAYUwczpa/HUDZ7gpBbT2ZTP0TH8vh0mr15FK8n9xPzymFe+eUSBpNjFxxZKrizbFkkpRpVvX7ohn+DbtQSVE1GgNrd/vF8a6PuNBm3cWvR9pxabYO2ALIpz+5jk7NN5BllavkXf79htsiYzP9+XX/NZ7HITFh4nsFxPvRr5OQLr4zFVzkRbNchtAlR3mGVPm+AbGa+KQ2fKhgctVzYiWH961bvf+HCBV577TXq1KnD8OHDbQradurUiQULFnDhwgWmT59eYtD2OmVoHKoW91o9titour6A5BHo6jKKCPcK5vlWY1xdhk2+HPgyb7/xFuHh4Vbtf+rUKZ5++mnCwsKYOHEiR48edWo9WYYchq+ewrTd8ystaHuj42nn6b98EguPue7CUEEQBEEQBEEQ/jtEZ1tBEABISc+06qPLrRv+YO7Mj3h52kdERMcUu/2Tt6dyMfEc02fPJS83l/W//cKR+P1cuZSIPj+fwOAQ2nXuTq8BQ1DfFPb5edF3JJ45zfmzp0lPTaFDt56Me2yS1fchOzePPL0eN61tXQUEQRAEwRbe/u607BVNXNe6JF3IJPVKFimXs0i9nEV2eskndCWFhG+QB/41PAkI9SIg1Av/UK9K6+ai0WgYPHgwgwcPJi0tjaVLlzJ//ny2bNlSuI9SpaJzzz6VUg9QkKaz4bzp9vj1/LZ1KW2bdKd/p5EOTx8eUpe/D/yJ2WxGeUPAOPHqmcLbraFUVv+wrSzL7Pr9BAl7L7mwBji45Rw5mfm0G1C/0pa4LElqaiqrV69m+fLlrFmzhpycHJuOX7djBZ1b9Kug6iredu8yuvJKEj92HsLy9GQuLXyfBsg8CzQEjMBuYA6wHfgZWA+sA5oD3sDGMuadA3gAPYCVN9YT7ceT9zbmTHD53YLjk05ye3S3cvcDUKvV3Hfffdxzzz38+OOPvPnmmxw8eLDMYzIzM3n77bf56KOPeOSRR5g8eTI1a5bcSbeIdetgyBAwGKyqrcL99RcMGABr1oC7/eEyoYo5eRLGjoUb/rZXmN9/h8aN4YMPYNw4qKTXM7Iss337dmbPns2SJUsw2PCY0ul0jB49mv533w1jxsAl1/3Ns4VFgtfu+HcFHw8HLkopLwh549BKRcGFW5cyjCRnm3j2x4u80r8GDWro2JiQzYx1V7mQZmTufQ50DTXY9ve1oigCY9B0m4K687PIqaexJB3Fcu0IlmtHsaSdBVM+XA8OKbWg9UIRWA9FSEMUQQ1RBMcieYZUqS6NDjHpK2TYju8d5+DFf98rvTWkJk/1DOaTDUmcStKz5GHrXnvbQjZXzH35L5Flmfnz53N66d8wsFZlTsybpkyCqbqriJgTfsMU1R1VdO8Sb7dYLPzxxx/MmTOHlStXYjabrR7by8uLMWPG8Mgjj9CkSROb6lK3fww5PRHz6T9tOq4yqNs8gqpe1XyfNLHpMFaf2cqea8ddXUq5RtXvzbDGPaFxT5599lmWL1/Op59+yl9//VXusTk5OcyePZvZs2fTu3dvHn/8cfr371/kMxFbpeRlcOevrxCf7MSLvOxgli08uelDsoy5jG8y1KW1CIIgCIIgCIJwaxNhW0EQAEhOy3D6mKnJ11i3egXtu/Sgz6ChaHVunDh6mF+WLuTIgX1MevWtIicj/li1nPA6dYlr1Zatf9p3FXJKWibhNZy/vKEgCIIg3EylVhJa14/Qun6F2/R5RvS5RswmCxazBaVKgVKlwN1bi1JVCR1jreDn58fDDz/Mww8/zOnTp/n+++/57rvvkBUqvH39yh/ASWS1jKS3LpRw/sopvlr+PuEhdXnw9medMn+rhp3ZuHs1u45sol2THoXbt+xbg59XINHhsVaNs2PvVlZPnEvHjh3p0KEDERER1SpsIcsy21cd4/SBq64uBYDTB65iMlroNDS2UgO3Z86cYcWKFaxYsYLNmzfbdDL8Zp4BGvItmegUTu7OVgkuaVSc05Xd7dCQsI/kHz5AG9eJ9h0H037NdzQ/VRBS7Q1MBn7/Z99XgNf++f/3KTtse4R/l95pDORqFDw9IpYFHcORFdY9puKTT1q1342USiUjR45k+PDhrFq1ijfffJNdu3aVeUxubi4ffPABn332GQ888ADPPfccERERJe+8cycMHVp1grbXbdkCd9wBv/wCauuX+haqIFmGTz+FF16APPs7UtosMxMefBCWLoWvv4awiut6mJWVxYIFC5g9ezYHDhyw6dh69eoxYcIE7rvvPvz8/nmd88UXMHBgBVTqfHN6RrAz+t/XZ7oK6vBYWhDSIkOW3sK8++owomVBHV3reZFjsDBzYxIv969BVJB9FzzLFRTqtJekVCMF1UcRVB8aDi1ym2wxgyQhSdX/IqtyOXAfAz1VuKklElOL/82be28EeUYLVzKMjPiy4OK2xFQDb/56mTcG10SjlEjPLQg1mywgW2TSc01oVQrcNHbWJFWN91/VVXx8PI899hhbtmxB0inx6xqCwqv0VVKcaaAln/5y1XqOKIlh4zsow1oiufkXbktOTmbu3Ll8/vnnnDplWwfvuLg4JkyYwOjRo/Hysm6llZtJChWafu+gX/UUlvPb7RqjIqia3Y2qzcOuLqNUSoWST7pNosePj6E3G11dTqlCPQL4X/t/f44qlYrhw4czfPhw4uPj+fTTT1mwYAH5+eV39v7jjz/4448/iIyM5NFHH2XcuHH4+vraVE+mPoeRv77MATveh1WUl7d9jkahYmyj6vFaTxAEQRAEQRCE6keEbQVBACombBsYXIPps+ai1f27yGFskzi0Wi1L53/DyWNHiIltVHjbZ/OXFYYq/v7Lvqvvk9MzRNhWEARBcBmtmxqtW/UJLUVGRvLqq6/yyiuv8Ov6jVzJsC+kY0/n+6O74rlyJZF8Qx5BfqF0jOtNn/Z3oFEXPYGbk5fFRwtewWQ2MLDzKC7803n2Zl7uPoQEhHHx2lkuXjsHQEZWKnqjnp2HNgEQFlyHsOAIAOLqtaVxVCvm/fIRefm5hASEsf3Aeg6c2Mkjw6egUFh3cn7/kV2s/Gshs2fPBqBGjRqFwdsOHTrQokULNJrKOSltK1mW2b32ZJUJ2l53/mgSOzRK2g2oX2HBZVmW2bt3b2HA1tbw1o2USiVdunRhyJAhDB48mLp163Jy/2X+Xl31uyLd7G9v93I7VGat+BwkCd+H3uDXgFB+7TyIpqcOcu+6Hxi6dRVuRj2D/9nXlmiMAjAqJFY3D+H82Qzy/HWc6WxbB7UDySexyBYUdgSFFAoFgwcPZtCgQaxbt44333yz3O5QBoOB2bNn8+WXXzJmzBheeOEF6tWr9+8O2dlw551gY3fkSvP77zB9Orz8sqsrEexlNsP48QVhV1dZswbatoU//oBY6y5UsdahQ4eYPXs28+fPJysry+rjlEolQ4cOZeLEiXTv3r3435IBA+C+++Dbb51ar7OdDHHnncFFX1c5ErW1NQgJ4O+h5GqmiV6xRUNffWK9mLkxif2JuXaHbSurI7IzSFa+LrwlqOxfLUqpkOhaz4v1x7K4nGEk1Off90WxoQWfDZ5L+TdAeSZFT55R5tkfL/LsjxeLjRf2wiEmdg3kvTusWyb9ZpID9+W/LCMjg1dffZXPPvsMi6Wgs6ycbyZ70WG8H25e4fMHymb+Z86s8HmcIi8Nw8ZpaPpNL+y8vnTpUvR664PCWq2WkSNHMmHCBNq1a+eU9z+SUoN2wIcY1ryI+fQGh8dzlKr1g6jbTqzyF6XW86vNlNb38drfX7m6lBJJSHzQ5Ul8tJ4l3h4XF8dXX33F9OnT+eqrr5g5cyaJiYnljnv69GkmT57MK6+8wr333svjjz9Ow4YNyz3OYDYyZs3rVSpoe93zW2bhp/NmaFQXV5ciCIIgCIIgCMItSIRtBUEACkKqznZjyPZGdWPqA5CaklRkuzO6l1VEaFgQBEEQbnWSJOHl68+VjOInuZ3teuf7Dm160b/tSLQaN46fO8hPf87j0MndPD/2/SIn4c5fPkVS2mUA5ix7u9RxOzXvy/g7XmDHwY38vKFoeObTH6YCcHv3+xjW8/7C7U+OfoOl677ix/VzycnLIjSoFhNHvkL7pj2w1plLCUW+v3LlCj/++CM//vgjUHDytHXr1nTo0IGOHTvSvn17goKqxoVBCXsucXx3xf+b2+NU/BW8/d1p1KG208Y0GAxs2rSJ5cuX88svv3DhwgW7x/Lw8KBfv34MHTqU/v374+/vX+T2iEbBxG86Q152FetmWoYspYJ9Xm5l7iNbzBgO70BdtxHKgNDC7QeimvBMVBPevPtZeu3dSNPTh2hycj2NEq/hYSi9S3C+SsGRMC/i63hzoLY3fzQJ4qqPjtw3tmDPqfhMQw5ZhtxST0BbQ5IkevfuTe/evfnrr7946623WLu27FU3TCYTc+fO5dtvv2XkyJFMmTKlYMnf55+Hs2ftrqVSvPEGDB4MTZu6uhLBViYTjB5d0FnW1S5ehM6dCwK3zR0LYun1en766Sdmz57N5s2bbTo2LCyMhx9+mAcffJCaNWuWvfNHHxXUe+mS/cVWIIsET45pQr6maMhTb9ezYwFbg5AAjWu6cTWzeND5euhX4UBwSlJWzYuR/uskrWOd+Z/pHczaI5k8uTiRBQ/URa0s/XekaZgbvz0eVWz7cz9dJDPPwpy7axHm68Dvida+zqD/VbIs8/333/Pss89y9Wrxi/EMe6+i33MZbcvQEo52npfMWfhXUBfvimA++QePDlrD7NW2XbwXFRXFI488wv33309gYKDT65JUWjS3vYtxy4eY4hc6fXyrKLWoO01C3XSka+a3w4SmwzibeYW5R1a5upRipneaSK/arcvdLyAggOeff57Jkyfzyy+/8Mknn7Bp06Zyj8vNzWXOnDnMmTOHnj178sQTTzBgwACUypIvOPlo32K2XT5o8/2oDDIyT2/6iFbBDQj3CnZ1OYIgCIIgCIIg3GJE2FYQBABycstfWuhGFou5xOV1ZSs+DD16MB6AmuF1bJrTGjm5lbhspiAIgiDcQpLTKqd70PXO9zrZHc25gmBHo6gWaDU6fvh9DgnnDlE/oknh/rGRzZj/pvXdeIb1vL9IoLYsOq0bYwY8zpgBj9t0H2509mJCmbfr9Xq2bNnCli1bCrfVq1evsPNtx44dadCggVMuOrJFVloee/+0bVnTyhb/1xnCYgLwDfKwe4yMjAx+++03VqxYwa+//kpmpv2/5zVq1GDw4MEMGTKEHj16oCvlwjIAlVpJ29vqsXHpIbvnq2w/B3pjKOf30JKZhqzPQxVU8nLx6Z6+LOsylGVdhmIxDsaS/TUxV7IJT83n5O7L8PclnhkVi9rfnSu+Wo7V9MSkdO7vfr7ZgI+TxurSpQtdunRh165dvPXWW6xYsaLM/S0WCz/88AM//PADr3TsyBtbtzqpkgpkNML998OOHaCuPp3Z//MsFhg3rmoEba9LSYG+fWHzZqhf3+bDz549y+eff87XX39NUlJS+QfcoHfv3kyYMIFBgwahUln5UaevL/z8M/TsWdCFuop5aWQsO6P9im3PdrAroLVBSNkjAFNMdwYOjWH9tKX8KnVheO8uYDGB2chvW+aiUJyhWfNGyOpUJKMdn8Vo7L8wQqg4isB65e9UhvaRnnw4IpzJyy7Q4d3jjOsQQGyoDoUEVzJNrNifDoC3ToGvu4ouMcUDsb5uSkwWSrzNajpfJA8RsLLWgQMHePTRR4u8ZylJ9qIjeDQOxVRBTYODZTODLLZ9Rl0VDIzIYbYV+11fSWHChAn06tWrwt8DSgoVmi7PoozqjmHd68iZ9l9saCtFaDM0vaai8HX+5/8VSZIkpnWaQK4pn8UJ61xdTqFX245jbKOBNh2jUqkYNmwYw4YN48CBA3z66ad8//335OeX/xhbv34969evp27dujz66KOMGzcOP79/X5ccTD7Fh/t+sPl+VKZsYx6T/vqExf3/V+W7KguCIAiCIAiCUL2IsK0gCMiyjKmE4GxZ3p4yudTbAoJK/zA78ewZ1qz4keZt2lMroq5Nc1rDZLY4fUxBEARBuNWZzGbSsyonaHK9871ssSBLMpJccNIjKqwBAKkZ1yqlDme4lnqJ7Dzbw5sJCQkkJCQwb948AHx9fWnfvj0dO3akQ4cOtGnTBg8P+wOm5ZFlme2rjmE2Vu3XTRazzPaVx+h7f3ObTkRfuHCBX375hRUrVrBhwwaMRqPdNcTGxjJkyBCGDBlCmzZtbKojvF4gdZuEcOZg8c5gVc1+Tx2HPcvuamsrSdUYi9KP4zUljtf0IvdSwXPMn42CUAa6O3WuGxnM9v97l6Z169YsX76cgwcP8vbbb7N48WJkufSLDD2AsdUhaHvdvn0wfTq8/LKrKxGs9dJLMH++q6soLikJeveGvXvBii59ZrOZ33//ndmzZ/Prr7+W+bi6mZ+fH2PHjuWRRx4hJibGvnrbtIFffoHbbgMblvyuaO8Miuar7iWHk86hJA+w9xm7tCCkpPPkkjaCFbuvAODerB+mZoMZ1cjEvNXxPPPWdyQb1NSvF8Gmzbv56setjLv/dkJHPI0ekLKuobgYj/L0VhQ5KVbVogiItvNeCBVJERzr8BgPdgqkTV0PZm1M4rONSVzOMCJJEOarpm1dD1Y/FkW3ehXbdVYRHCvCVVbIyMjgtdde47PPPiuxqcKN6tSpw0cffYSqaRBj/3izQuq5y5JHdbz0p1t9L+qHaDl+teS/JaGhoTz00EM89NBDhIeHV3J1oAxrhW70EozbPsZ0YHEFT6ZF3f4xVHGjkBQld0St6hSSgk+6PY2H2o1vDq90dTlM7/Qo42wM2t6sadOmfPnll0ybNo2vv/6amTNncv78+XKPO3PmDM888wyvvvoqY8aM4fHHHyemQT0e3zADk8W280musOHCHr4/toYxsf1cXYogCIIgCIIgCLcQEbYVBMGmE1rXPfD4ZELDahXbvnjel6SmlNyFJvnaVT6d9jp+gYHcN+FJm+e0htlStUMjgiAIglAV6Q1Gu14P3MymzvcKsHiZUWYWvCU5cnofAGEhEQ7XUVnSjZcICwvj4sWLjo2Tns5vv/3Gb7/9BoBSqaRZs2ZFut/WqlX8dZe9EnZf5Nr5DKeNV5FSLmdx5O9EGncovSOSLMscOnSI5cuXs2LFCvbs2WP3fJIk0aFDh8KAbb16jnV3a9U7mitn0sjLNjg0TkXKUipYEWhdL1iFtx+S1g1TUvm/85KkQKFugcXwp6Ml2kStqLiIRpMmTVi0aBFTp05l2rRpzJ8/v8TnvAcB519WWMGmTYMnngBvx5YPFyrB1q0F4eiqKjGx4HdpYelLVl+7do1vvvmGzz//nLNnz9o0fNu2bZkwYQIjR47Ezc0JFwl07w6rV8OQIZCT4/h4Dvrf0Hp80i+y1NvNksRRSU0L2f4LC4oEITenczldj6RQUDM0hdatGvPz0o/o0qklAGq1ih8Xf8ib73zBR5/MJy09k9q1Q3n1pfFMHH9n4ZiyVzDmBr0x1++J4spRlCc3o7hyBKmM1Y+cEeoUnE/yrQNqN7CnW/ENmoa5Mefu2nYd+/sTdgbob7DnbDaRly8TGhrq8FhVmSzLyNlXsFw9giU5AfSZyGYDyGYkpRbUbij8IlAEN0Tyj0RSqAqPW7BgAc888wxXr5Z9YZhGo+G5557jxRdfxN294IKptzs+wpStc5x6X1SyzN3mXKeOWZke7BjIsz8VfY3cq1evws7rahevICCp3dB0fQFV7GCM8T9gPrEGzE58j6LzQRU7BFXTO1F413TeuC6ikBRM6ziBCO8avLVzHvoKuKCvPP46b2Z0foKBkR2dNmZAQADPPfcckyZNYuXKlXz66ads2FD+SkK5ubl8/vnnfP755zR6rBdXG1efU8uvbv+CHrVaEuYZ5OpSBEEQBEEQBEG4RVSfd0SCIFQYezo9hIbVIiK6+Iffbu7uUEITk5Ska7w/9UUUCgWTX3sbT6+K6WChrOQlmAVBEAThVmB2Umd4Wzvfm/1MKDNVnL9yitVbfqBVw87UrhHllFoqmiTB828+xhufPMP58+fZtm0b27ZtY+vWrcTHx5fbGaosZrOZPXv2sGfPHj799FMAwsPDCzvfdujQgbi4OLtO2OpzjezbcNru2lzhwF9nqds4BA9vXeE2k8nEli1bWLFiBStWrODMmTN2j6/T6ejTpw9Dhgxh4MCBBAc7b8lhrZuadgPqs2HxQaeNaY0xL3e3ar8p4z5kZ4fuZGUmk/nDB+j3/4UlLxtVjQg8brsXj+7Di+wvKZRoGrVDH78Zc8oVlAE1yhxfoaqNpZJzxjpVxQcZ6tevz9y5c3nttdeYPn0633zzDQZDwR2VgIkVXkEFyMkp6JT66KOurkQoS24ujB0LTrhApkItWgQjRsDttxdukmWZrVu3MmvWLJYtW2ZT13F3d3dGjx7NhAkTaNGihfPr7dkT1q8vqPfyZeePbwW9SmLKyFi+61J+OPGAg2FbgMaN6vHx/VORfcvvsOjn582Md59hxrvPlD+wpMAS2ghLaCOkzKuody9EkVLC6w61e0GoU6hyJIUSRWADLJf3uboUh7w39xd+efp7unfvzujRoxk2bFiRJdCrMzkvFdPRlZgTd2K5dgTy0607UKlFEViPNHVNXpy7hW9Xlt+Fv2/fvnz66afFOog/1HgIOcZ83to5z/Y7UIpesp4aVN8mCne39WfqqstoPHwYO3Ys48ePd/jCvYqgCG6ItvcbyJ0mYTr6C6aDS5EzL9g/XkhjVE1GoIzpg6TSlX9ANSJJEhOaDqNXrdY8vnEGe64dr7S5B9btyLudHyPIzbdCxlepVNx+++3cfvvtHDx4kM8++4z58+eTl1f2hRaSVsnlKKhOZ2CyjXl8fnA5b7R/yNWlCIIgCIIgCIJwixBhW0EQkCQJpVLhtKDNzVKSrvHeay8gyzLPvTEd/4Dyl5O0l1JZnT7qEQRBEISqQZad8xrA1s73ss7C1ZxLfDB/Cv4+wTww1IoQRxURXi+wMPxZu3ZtateuzV133QVAdnY2O3fuLAzgbt++nfT0dIfmu3DhAosXL2bx4oJlP93d3WnTpk1h59t27drh7+9f7jinDlzGZKxeJ7EtZpmT+y4T1TKItWvXsmLFClatWkVqaqrdYwYEBDBo0CCGDBlC79698fDwcGLFRYVFB9C2fz12/JpQYXPc7LXxM4t8v3zDdxw9s58Xx31QZPveBo05JBlJnno3ssmI9+hnUPgGkbdtNRlfvIycm4XngLFFjvEa8jD6/X+R/uUr+D8zE0mlKXK7bDKij9+MrmUPJKXzOjJbw12lxUvtXmnzRUREMHv2bF5++WVmzJjBnDlz6JiXR9WLVVhp5kyYOLHgagKhanr5ZThxwtVVWOeRR6BzZzI1Gr7//ntmz57NoUOHbBqiQYMGTJgwgXvvvRdfX9+KqfO6tm3h8GF46in47ruKnesm++r48Ph9jTle07qLkg9K9n+cKytUmGL7Ym7QGyp4eW/ZOwRD9ydRntiE6tBKpBu6AiqC6lfb5cX/CxS12lTrsK3BZGHbqRxkWebPP//kzz//ZOLEidx2222MHj2agQMHFnZorS5kWcZy5QCmg0swn/gDLHYE7s16LFcP4sNBZvWGeyKj+XJLMsvjMzCYil7EUbt2bT766COGDh1aapOGp5rfiafajRe3zrbnLhXTz5LvlHFcxcdNyU8zX6Lz3S86p/N6BZPcfFG3uBdV83uQU05hSTqK5doRLNeOFnRJNpXw76H1QhEUiyK4IYrgf/7rU/5FG9VdjF8tVg+ZwewDPzNt93cV2uXWX+fNtI4TGRrVxa4GKfZo0qQJn3/+Oe+88w7ffPMNn332GefOnStxX22bmijcqt9p5UXH1/JCqzG4q2+tQLggCIIgCIIgCK5R/d4VCYJQIdx1OrJynL9U1/WgrcVi4dnX3ymxq50zueu0FTq+IAiCINyKFE4KO9jc+T75Gu99+QIKhZIXx87A0736LF9er2XpS2N6enrSo0cPevToAYDFYuHo0aOFnW+3bdvGCQfDUrm5uWzcuJGNGzcWbouNjS3S/bZevXpFTtDJskzCnksOzesqO/88TIfb7iQ3z/7Xq1FRUQwZMoShQ4fSoUMHlMrKC/nENK+JyWBmz7pTlTJfdK2GRb738vBFkqQi21f7e7HHz5OcFV9gvpZI4FvL0EQ2BkAX1xlLehJZSz/FvdsdKDz+fWxq6jXHZ9xrZMx9g6Qpd+DRaxSq8GgwmzCePUrOn0tQh8ega9kDS7aEfm8ayHrMl7IAMBxORuGpQeGlQV3v34C48VwGluSCTkpynglk0O+5AoAqwgdlQPmhhcaBUShdEN4KCwvjgw8+4MUXX+Rap06QUHnBaqc6ehQ2bYJu3VxdiVCSXbvgo49cXYX1rl3j744d6X3pEtnZ2VYfplKpGDZsGBMmTKBr166VFjQBwM8Pvv0Whg+H8eMrvsutRsOWh25neMM0zDZcOLxToQE7GuhbfMMxthmD7FOJy3tLCsz1umMJbYR61/coUgo60Stqtqy8GgSbqRrdjmnXVyDbv1KDK62IzyAp21Rkm8FgKFwRwdPTk9tvv51Ro0bRq1cvu1aLqEzmi3swbH4fOemYU8ftEOVJhyhP3s0y8u7aq8z5KxmlSs2zzz7LlClTrLoY7cHGg6nlGczTf31CUl6aQ/U0sSdAfJODF/OYtSmJzSeyuZxZMF6Yr5quMV6M7RBAi9oFIesV8en8tC+dvedzuZRhJNhLRbu6nrx0Ww2ig+3/bLlb41A01SBoeyNJUiAFxqAIjIHYwQDIFjMYcsCsRzYbkZQaUGlB41m5f5erEKVCyWPNhjMsuivfHv2N+Ud/d/h3/kaRPmGMbTiAUfV746P1dNq4tvD39+eZZ57h6aefZtWqVXzyySf8+eefRfbRdS2/A39VlK7PZvmpvxjdoI+rSxEEQRAEQRAE4RYgwraCIAAQ6Ovt9LBtZkY67099kfS0VO6f8CSZGRlkZmQU3u4XEFiky+3xwwfJyiy43WKxkJJ0jd3btwBQv2ETvHx8yr8ffuXvIwiCIAhCUSoXdIYv7HwvyUx5eAb+XkGVXoO9/EO9qBFh/TK0CoWCRo0a0ahRIx56qGDpwqSkpMLOt9u2bWPXrl3o9XqH6jp69ChHjx7lq6++Agq6t17vfNuhQwfCA6LJTq+eHaPcNJ40jmzNzsObbDquTZs2DBkyhCFDhtCwYUOXnhyObVsLlUZZqR1uS/NzoDd/+xQEKAwJe1H4BBYGba/TNu+G/sBW9PGbceswoMhtHj1HooluSvav88he+RXm9CQkpRpVaARuHQbg0fceAEwXTpD1xY4ix+YsOgKAKsYP38ltC7fnbziH/u+iYfCsL/cD4HlvY5Qdyu+aFRdYPOxfmYJkmaCTJ11ag8O++kqEbauqGTNAlsvfrwpplZCAN2BN1LZWrVo8/PDDPPDAA4SGhlZ0aWUbNAg6doTp0+HrryGlhCuGHKHRwIgRMGUKXyYuw3x2u02Hn5dUbJU0dJQNhdsOXszjs40FAbMrmUZUConoYC3DW/hyf/sAfKLi8B65AFhV4pjRUbXZsWWBI/eqTLJXMIZuT6Le+R3KxH2oGg6tsLkExyk8Q1DW7Yr59J/l71wFfbE5uczbs7OzmT9/PvPnzycwMJCRI0cyatQoOnTogEJRdVbMko15GLd/iil+UYXOE+Sl5r07whnbrS7+Q94jsnlXm47vG9GOLTUaMmXrbH48udGuGjxlC9H2XEVwg6+3JjNp6QViQnRM7BZEbA0dkgTHr+SzdG86nd9P4OArsUQGaflg3TVCvFQ82yeEugFaLqQbeH/tVTq+d5wNk2JoGGpfYNaSdNSh+1BVSAol6AoutvtvRmtLV9MziBdb38vkFqNYfWYbc4+sYvtl2zr3X6eUFPSt05ZxjQbROSwOhVQ1nn+USmXhe+hDhw7x2WefMX/+fAyhGlTh1nXhr4rmHlklwraCIAiCIAiCIDiFCNsKggBAgJ8PZy5eceqYlxLPk3S1YMyvPnm/2O2DRoxmyJ13F36/YvECEo4cLPz++OGDHD9c8P0zU9+hgU/TcucM8BVhW0EQBEGwlU6rQa1SYTSZyt/ZCW7ufO/j6QeJlTK1wxQKiQ4D6zsc2gwKCio8gQWg1+vZt29fYefbrVu3cvXqVYfmSElJYeXKlaxcuRKASWPepnn99g6N6Uo92w4pN2yr0Wjo0aMHQ4YMYfDgwdSsWYnd+6wQ07wm7l5a/l59nLxsQ/kHOFmWUsGPQT4c9bhh+UyTEUmtKbbv9W3G88eLhW0B1HUa4DdhWpnzaRu2Jfib/2ExbC23Nq/7m+J1f/mv98vSLMi1YVt27ACLpcxd5gFj//n/DUC3m26XgRjgFNAV2PjP9u+AX4F9wAmgNnC2hPHvB74tY/7tQLuyCty2raxbBVe5cgV+/NHVVdhMBTwEvF7GPn379mXixIn0798flaoKfUzp718Qtn39dVi6FGbNgr//dmzMOnXgkUdg3DgILlj1J36ffQH9+Up3OpoK/o7M3ZbCU0sSiQnR8VTPYBrU0GI0w97zuXy9NYUdV9R8+/ND/L6qc7Fx9u49wpRXP2HAbcVvczqFEmPb+5BCGqPwCav4+QSHqJqMqJZh27MZCrafsb6ZQHJyMrNmzWLWrFnUrl2bUaNGMXr0aJo0aVLq6/2UvAzik08Sn3SCE+mJ5Jr06M0GFEhoVRp8NJ40DogkLiiaRgGRuKls75RqvrgXw/qpyBmV9yapYYAR/n4Bo/QYqrhRSDYE//x13szp+TyDIzvz7JbPuJZrW8fPRrJj70O3n87mqSUX6NfImwXjItCo/q29Wz0vxncJ4qd96bhpCrYvfbguwV5FOxp3q+dF7NQjfLYhiVmj7eveabl2a4RthfJplGpuj+7K7dFdSddncSDpJPHJJ9mfdIIDySe4lptGnsmAjIxSUqBVaqjtFULToGiaBcUQFxhDo4BIPNS68idzocaNGzNnzhzeeecdhi94hgNUz5VyAPYnneBo6lli/SNcXYogCIIgCIIgCNVcFfoUWxAEVwq0MqTasXtvOnbvXertT0yZWvj/DRo35atlq62u4bk3yj5Zbw3R2VYQBEEQbCdJEgG+3lxJTq3wuUrrfK9MVaHMUeHvHYS/T9XtctukcwS+wc5f1lGr1dKuXTvatWvH5MmTkWWZM2fOFHa+3bp1KwcPHkS2s6uhUqGkUWT1XrK5QUQcWo0OvaFod14fHx8GDBjA0KFD6du3L97e3i6q0Dph0QEMfLg1e9ad5PQBxwLVtrAgMaNWEHk3dbJWhUWjP7gdU/IlVIH/hpMNx/cWHJed7uDMlbc0s+qaAepV2nTF7dlj9a5ewNcUD9tuoiBoe3PPqPnAFaANYAFKW2j5FeCRErYPArRA6/IKO3MGUlMLgoZC1fHVV1BJF8Q428PAW8CN1QcEBDBu3DjGjx9PVFSUiyqzkk4HY8YUfMXHw4YNBY/13bvh+PGyuw2HhUHLlgVf7dtDjx6gVBbenJyXzsXsJLvK+kPScgUF585k8eSSRHrU92Lxg3XRqv99ju/ZwIvHRnfld30TUChp3bJRsXG+nb8CSZK4Z/RAu+qwmaTAENEKfV4SWreq+3pPAEWtNki+EcjpZ11dik1ihjzP+fs7sHjxYhYuXMjevXutPvb8+fNMnz6d6dOn06hRI0aNGsWoUaOIqBvBpgv7WHT8D3ZdPcqF7GtWj6mUFDTwq0OnsDjui+1PjF+tco8xxi/C+Nd7FFyCU8lM+Rg3v4/lwi40/aYj2RgU7l+3A93CW7D81F98c3gV8cknrDquiVzaKxvrvLf2GkqFxCd31ioStL3RsOa+hf9/c9AWINRHTZivmgvpDtSSm4wl+xoKz2D7xxCqHV+tF13Cm9MlvHmR7bIsY5EtKBXKUo6sPvz8/DAEq8G2HH2JTBeyyFt/FmNCKpYMPSgllMEeaFvVQNcpHIWHBuPJNPK3X8SUmIn5UhaYZPze7IIy0N2hufdcOy7CtoIgCIIgCIIgOEyEbQVBAG6NkKqbVoO7zvZuEYIgCIIgFLwWqIywbXmd72/vfh/Det5f4XXYw7+GJ406lH+C3BkkSSIyMpLIyEjuueceADIzM9mxY0dh99u///6brKwsq8YLC45AU0L3UmuNebl7uftc/7fL0+ey9I+v2H14M1m5GQT6htC1VX/6dxyJwoETjQqFgjqh0SScO0Tt2rULOwN36dIFtbryAp3OoHVT02FQLLUbBLPj14rtcpupVHDKTYNJkooFbQHce44kZ90i0j97Fp8HpqL0DSRv+6/kbf+1YAdHlzOVKuffxnQlhzse6U+bNm2YMGECd955J25u9i0BbLfdu63e9U5gATATuDEe/jXQHsi8af81wPV/iYFAaYvVRv3zdaNNQDLwMmDVI3DPHuhd+gWWQiUzmeDzz11dhd1qAkOAH4H27dszYcIERowYgU5XtTu5lSguruDruqwsOHgQMjIgPx/MZnBzA3d3iI2FGjXKHC4+yb6utgAmSWKB0p3ta08iAZ/dVatI0BbA4lcHqctD3KYs+e9/VnYuv6zcSMf2zYisG253LTaTJHIyElAo1Ki1vpU3r2ATSVKg6foc+hUTXV2K1aTAeqga3k64Us3kyZOZPHkyx48fZ9GiRSxcuJATJ6wLfgIcPnyYV95+nTc3fIVf3xiM3va9hjXLFg6nnuFw6hk+P7iczjXjGNtoIP3qtEOtLH5qxrjzC4w7Zts1lzOZz2xC/8tjaAd+hKTxsOlYd7WO0Q36MLpBH/ZdO87Xh1fx29ntZBpySj2mhmy2v1aLzF8nsmhRy41QH/tfd55J1nM+1cDAJo59Ri5nXwMRthUoeE+vlKp/0BYgx5hPQrrjnbbzNyeSvegIyhoeuPWuizLUA8wypvMZ5G9OxHQ6He8JLTAeS8F4NBlVLW8UOhXGBOd8VnUg6QQ06OuUsQRBEARBEARB+O8SYVtBEADQatTUCPSvlJBNRalTM8ThJZ0FQRAE4b/KkQtvnNX5XspRoE6smhfOqLVKOgyORaFwMHjoAG9vb3r37k3vf0JwZrOZQ4cOFel+e+bMmRKPrRtW36G5Xxs/s8TtZrOZz398h7TMZOLqt8VsNjN97jNcSbnAHT3HUiOwFgdP7GTJ2i9JzUji3oFPOFTHI+OeoPvg1sTFxd0Sr/vCYwKoMbEt544mkbDnIimXrAtPW+OCRsV2Hw/iPd1IV5V+klcdFoX/pM/I+Oo1kp4bBIAyIBSfe54nY96bKP1CHCtEtjh2vJXy/zoPwM6dO9m5cyeTJk1i3LhxPPLII0RHR1dKDbZ0th1FQdh2ETD+n20ZFAQSPwE+uml/R555vgYkYJy1B4iwbdWyfTtcuODqKhzyYt26vPzTTzRr1szVpTiXlxd06GD34WczLzs0/Te4cfVENs1ruRPuVzRQKyvUGNuMgVKCtgA/L19HTm5e5XW1LUImJyMB78AWKBTi4+nS5BjzyTHmkW82IAFapQYPtVulLTuurN0eZaNhmA//VCnzOUShQtvrDSRl0bBl/fr1mTp1Kq+99hp79uxh0aJF/PDDD1y6VMZS6CoF7gOjcetRB0mjLLWbvD02X4pn86V4Qj0CeKP9wwyN6lJ4m3H3N1UiaHud5eJu9KufRjvoU5s73F7XPLg+nwXXxyJbOJt5hfikEwVfySe5nJOM3mxEbzYSkG8Efa5dcyRnm8gzytTyL/58Z7bIRRqQKxWU+B7CZJaZuDART62Cx7s72HXbrHfseEGogg6lnMLi4Ps64+k0shcdQR0bgPcjLZBuuEhI0zAQt151MRxOBsCtfxTuAwvew+WuPeO0sG18sv0XOgmCIAiCIAiCIFwnPs0UBKFQbFSdah22jY2q4+oSBEEQBKHaCqoCXe5lDwummgZUlzRIVJ0gpVKloPvIJvgG2dbVqaIplUri4uKIi4tjwoQJAFy+fJnt27cXdr/ds2cPRqORiJr1HJorulbDErd/t+oTktIuM3bIJKLCY9l+4E9OXTjKE6Nep3WjgvBAk+hW5OvzWLdjBb3bDiU0qLbddbRp1olmzWLtPr4qUqmVRDWtQVTTGqRcyiRhzyVOHU0Co+0dvvIVEofddWzzceeCVg1WBpJ1zbqg/fRPzFfOIVvMqEIjyNv+GwCa2FY211GUMyMqJZMNZvTbLxbZlpaWxowZM5gxYwZ9+vRh4sSJDBgwAJWqgj4GSUuDK1es3t0bGA58w79h20UUhGrvpHjY1l4ZwDKgJ1DX2oMOldY3V3AJKzomzwPG/vP/G4BuN90uAzHAKaArsPGf7d8BvwL7gBNAbeBsCeNvBErrb74daFdOfS1lGW61oK0T5JkcC2Rl5pjIM1ioE1A8YGZq3B/Zu+yLJb5ftBofH08GDejqUB32slgM5GWdwcMnxiXzVzWZ+hz2JSWwP+kE8cknOJB0knNZJf9difCuQdPAGOKComkWGEPz4Hp42dh91FqaTk+Tf24bcrb1f+NcQd3qQRRBpV9cJkkSrVq1olWrVrz77rv89ddfLFy4kGXLlpGenl64nyrCB8/7mqAK9azQei/npPDQunf45fRmpnd6FL/Tf2Lc/mmFzmkPy4VdGH5/Hs2AD5AcWO1AISmI9KlJpE9Nbo8u/pyjX/865iPLHai0ZB3fO87Bi/mF3781pCZP9SzadVaWZSYsOs/W09ksHFe32MULNjNX/GtfQahsjnTjvy73t9MAeN7dqEjQ9jpJpUAbV/D4lBQV83nQ4ZTTGM2mEjuLC4IgCIIgCIIgWEu8oxAEoVCdmiG46bTk5Ve/K/BDAvzw9/Euf0dBEARBEErk7elBkJ8PSWkZLq3D4m3GJBtQXa4agVulSkHXEY0Jru3r6lKsEhoayrBhwxg2bBgAeXl57Nmzh4S/0gvSVk60Zd9a/vj7Z7q27E+P1gUdUU+cP4QkScTVa1tk32YN2rNh9yp2H9nCoK6j7Z4z9YrzOr9WRQE1vWlf0xtDq3Ae/+Mc4Xoj4XojYXojPiYzKllGJYNJKlhCPEOl5KJWzQWtmotaNSlqJbKdHX8lSUIVGgGAbDKQ8/t8VHVi0ca2duxOyaUvGews+p2XkPNMpd6+du1a1q5dS61atRg/fjwPPPAANcpZ3t1m2dk2HzKOggDjYaARBcHbEYCXE8taBOQBD9hyUE7F/5sJNrChY7IXBZ2Mu920fRMFQdubf7fmA1eANoCF8qPxb1M8dNvYmsLOnoWUFAgIsGbv/wy9xTmBrPM3LVFt8Y/AXK9HmcccO36GPXuP8MDYYeh0rltVQJ93FbUuEI3Wz2U1uJIsy+y+eoy5R1ax4tRfGCyl/y270dnMK5zNvMIvpzcDoFWqGRrVlXGNBtI8qJ5Tu/9LGk80PV9Fv2Ki08Z0NimwHqpWVvdvR6lU0r17d7p3785nn33GmjVrmP/DAtaaDqHuXqvCQl4lWXl6C5cSd7M07wJVdbF585lNmA4sRh03qsLmkMrowl2eQE8VbmqJxFRDsdvm3htBntHClQwjI74svgKILMtMXJTID7vS+OKe2gxs6oQLUG/qriwIt4KT6YkOHS9bZIzHU1HV8Ubp7+akqmynNxtJzL5GpE9Nl9UgCIIgCIIgCEL1J8K2giAUUioU1I+oxf5j1W85HdHVVhAEQRAcFxtVh6TdB1xdBhYfMybJ9R1u1Vol3e9sQnAtX5fV4Cg3Nzc6depEcvzfZKfnl3/ADWRJRtbIyDoLFp0FWWdBVskgyZw/e4q5Kz8gIrIeoyaMx2Q2IOUrMFkMSJKE8qYlodX/nHROvHrKofujz/1vdIpq4u9GikZFikZFvFfFn4zMmPs/NA3boPDyxXz1Atlr5mNJuULAq/MdHttivuCECksnyaDcmWLVvomJibz88stMnTqVO+64g4kTJ9K5c2fnhJLy8mw+pCsQRUHI9n5gFzDD8UqK+BoIAG635SA77otQgWwI294JLABmUtA9+bqvgfZA5k37r6GgmzLAQKC8nsYxlN/FtlR790Lv3vYefUtSSY5F6yRPDWiUxKeYuISCmliQJQXG1ndDOR0ov1+4CoAxowc6VIMz5GacQB3UEsnBn0d1ojcbWJKwnm8Or+JQymknjGdkccI6FiesIy4whrGNBjAipgcaJ4X+lLXbo+7wJMZtHztlPGeSPILQ9v8Ayc77qtVq6dq3B5/Lm9BcuflZsuIpZJmXcy+ilK0LWruKcdsnKCM6ofCpVTETOBC2VSokutbzYv2xLC5nGAn1+fd3ITZUB8C5lOKNJa4HbefvSGXWqFqMau1vdw1FC3LdBQyCUFFyHezGL2cbwGBGEeC6oO11jq4sIAiCIAiCIAiCYP/aP4Ig3JIaRNZGqaheTw0ebjoiapa9PKIgCIIgCOWrGx6KVlM1OvFYvM0Y6+ixaCwumf9q+nmuSgfJyE9yyfzOZjZZ93OUkTF7mDGG52OIycNYNx9TqAGLnwnZzQJqmazcDGbOeBOtTsfE56ag8lVhDjBhCjMQ0igMi8XC8ez4Iv92CecOApCd61iIwWx0ze9DZfPXKqnlUXmPRXPqFTLmvUnK2w+SueQj1BGxBL79I+paji3tLct6sFxzUpUlmxh3Bxf2nODzzz8nLi7OqmNMJhOLFy+ma9euNGnShFmzZpGZ6WDAxo7ArgSMBb4H5gD1gM6OVVHEAWA3cA9gU+yjmr0fvKVlZ8Px41bvfr3n4KIbtmUAP1LQSflmlfovbUNoGMBsMXMs9Rw/HP+Dl7d9zqMb3ufBP95h7No3mbD+XSZt+phZ8T+y9dIBsgzVsxuzTuXYUuWSQkLTwB/9+UzGZenIRcIS2hjZu+zO3QaDkSXL1hDXtD5NGjv2PO8MFosBQ96t8XrLGvuuHafnj48z6a9PnBK0vVl88gme2vQRvX96winLfl+nbnk/qpbWd4+tFDoftENmo/AJs3uI5Lx0hq58np1XjjixMOs9ZMmlhVwNLiYz5WNYNxVZdu5rcZPJxN69e9m8L8GhcZ7pHYzZIvPk4kSM5vKX85BlmUf/Cdp+emct7m3nvM7rCi/xGbVw69Gbi3eOrq7yRdhWEARBEARBEAQHic62giAU4eGmo1Xj+uw4cNTVpVitY4vGKJX/nQ4ogiAIglBRVEol9SJqcTDB+Sf+7SG7WTBG5KNMVqNMVVVKl1uDUc/SP75izfafkGULTz4D9erVY+DAgQwcOJBOnTqhVleNQLItLJayTzrLShmzjwmzrwk0pe9rMZv54sPppKUkM+nVN/EPDCpye9vO3Vi5dBHzFn3E2IlPEepfm8N/72Xt3z8BIJXTac/R+3EraeKnJTHHOeELvwnTYMK0Um/3nzzTKfPcTDZfACru3yzaN5znW4/BTaXl4Ycf5qGHHuLvv/9m1qxZLFmyBIOh/JPChw8f5tFHH+X555/nnnvuYcKECTRt2tT2Ytzs69J0P/AqBWHbt+waoXRf//PfB209UKdzciWC3c6fB9n6x5A3MJyCbsnj/9m2iIJQ7Z3ARw6W8yhwF+BOQafcV4BO1h589my5u1zKTuL7Y2vYeGEfh1NO2dRFLconjJYhDRhVrzcdazZ1TsfqChbk5uvwGG79IjEcSubvhQmMG9+IedFFI/tGo4n1G3bQr0/Hwm2/r91CSmoGLzz3gMPzO0t+7mU0biHV4t/NXnqzgXd3L+Cz+GVYnBxYLMmR1LP0/flJnmx+J5NbjHJKl1t1+8dAqca083MnVOgYySOwIGgbEGX3GJn6HEb++nKFhJ6tUVc2Mcmc5ZK57WG5tBfTgcWo40aVv3MpcnJy2LFjB1u2bGHLli1s376d7OxsOkR68MdT9of/20d68uGIcCYvu0CHd48zrkMAsaE6FBJcyTSxYn86AN66gvciz/x4kW//TuXedv40CtWx88y/F21oVBLNarnbVYfkEYjkEVT+joJQzSgdfB9/vRu/JcX1K2hUt0YzgiAIgiAIgiBUPSJsKwhCMQ2jIzh78QpXU9JcXUq5YuqEU6tGsKvLEARBEIRbRsOoOhw9dQ6T2ezqUgoowBxsxOJlRnVFg0JfcSdGjp7Zz9fL3+dqysUi2xMSEvjggw/44IMP8PHxoW/fvgwcOJDbbruNwMDACqvHmZTKkn9uMjJmPxPmIKNVLQ6Xfj+XowfjGXHvAzRoXLyLqJe3D0+9/AbffPYBb0+ZDICnlzcjxzzEvC8/ws/bsZ+XUvXfOTHW1F/HrxeyXV2GQwrCthVDISn4pOsk3FT/9myVJIn27dvTvn17PvjgA7755hvmzJnDWStCftnZ2cyZM4c5c+bQsWNHJk6cyB133IFWa2VPWG9vu+5HGPAscAy4z64RSqanoGNuG6CxrQfbeV+ECpBneyBhHNAdOAw0oiB4OwLwcqAMH+BJoBsQAJwE3vvn+9VAX2sGKeW+WGQLmy/GM/fwKn4/9zdmO0OIpzIucirjIksS1hPjW4uxjQZwZ0wvvLUedo1XGZo4EBK8Th3ph+eohmQvOsK6d/fzdU5LGtTLw2gyc/BQAt99v5IG9esWCdt+v3A1bjotw2/v7fD8zmI25WA2ZqPSOPKbWnUdTzvHA3+8zfG085U6r1m28MHeRfx+djtf9ZpCjF8th8aTJAlN20eQ3Pwwbn4fLCYnVWpjHQHRaAd8iMIn3O4xjGYT96yZysHkU06szDYTzDlUt8tbjLu/QdV4OJKV4e2rV6+ydevWwnDt3r17MZfwPjP+Qh4Wi4xCYX/g/sFOgbSp68GsjUl8tjGJyxlGJAnCfNW0revB6sei6Fav4Dnm10MZAHz3dyrf/Z1aZJza/mqOTm1kVw1SUEO76xeEqkyrdE43fsOhZMxp+Sj9XPfsp1PatOaHIAiCIAiCIAhCMSJsKwhCMQpJonPLJvy8bgtmS9VdqtfdTUfbprGuLkMQBEEQbime7m60blKf7ftds5Rqaa53uZVyFSjTVSiylE7pdGsw6tl+4E/W71jOmUvlL1+akZHBkiVLWLJkCQqFgvbt2xd2vW3UqFGV7cimVBcPqcpqC8ZQA7K7da/3dmzZyB8rf6Z1hy70HTys1P3qRtfjfx/NIfnaVfT6fEJq1OTc6YJljGOaNESWZCTZvp/Tfyls2z3Ug2kHkl1dhkMspmMVNvajcXfQukbp7wWCgoJ4/vnneeaZZ1izZg2zZs3i119/RbaiS+jWrVvZunUrTz31FA8++CDjx4+nTp06ZR/k7Q116sC5c7beFUrvOfyvI/98AVwBcoFl/3zf8J+vGy0HUrGjqy1AXPEgveAietuXue0KRFEQsr0f2AXMcLCM5v98XdcZuB1oAjyHlWHbEu7Lxgt7mbJ1DifSEx2ssKgT6YlM2TqHN3fM5eEmQ3mm5WiHQyIVIco3DA+1GzlGx7q86TrXQlXXh+g9Bj75bAHXklJRq1RERYZzx+29eHDsv3+zL168yoZNuxhxRx+8vT0dvQtOlZ97Gc9bMGy799px7vz1ZdL1rruA5kjqWQb98gyL+79FXFC0w+Opm96JMqwlhnWvYrlWiStjSUpULceibvMQkoOP6U/2L2H75UNOKsx23rKFIRbXd3i0WW4y5tMbUMX0KXaTLMucOHGiMFi7ZcsWTpw4YdWwOQYLCdf0NKjhWACvaZgbc+6uXe5+9oZpy6MIFp9TC7cmP63jf5+vd+PP/v4Q3hNaIN303l42WzAcTkbbtGIbq/hqq9brH0EQBEEQBEEQqh8RthUEoUQ+Xp60btKAv+OrVtDmRp1bNEGrqX7LOAuCIAhCVRcbWYezF69wOSm1/J0rkwSyhwWThwGMEsp0FT4WT3IzDMgW65fZVigl/EM8qRnjz8WMBHQpucia8pebv5nFYikM5b344ovUqVOnMHjbrVs3dFVoKXYvPzeyUgtO6MvIWHxNmIKt62YLkHj2DN/O/oSw2nW4f+KTVh0TGBxSMJ8ss3blz/j6B9CidweM5KO6rEGRr7TrfvxXNPbT0TxAx76UfFeXYhfZkoxcQWHbYdHdeKm1dX1glUol/fv3p3///pw5c4bPP/+cr7/+muTk8oPMSUlJvPPOO0ybNo0BAwYwceJE+vbti6K0pUdbtrQrbGuNJcDrN20b8c9/XwOm3nTb14AHcJc9k7Vsac9RQkXQ2B4mk4CxwCdAPlCPgnCss/kCA4E5QB5Q7rPzDfcly5DD1L+/5rujv1VAZf/KNen5aN9ifju7nU+7TaJ5cP0Knc8WRqORP/74A02ykRwfx8dThXvz/QNPEqQrO0ASFhZC0sVNjk9YAfJyrnAlWSIqKrrKXrxkq11XjjLi15ccDlQ7Q0p+Jrevep5lA96mhRMeC4qAaLQjvsO051uMO+dUeJdbyT8KTa/XUYY4HpI8nHKGGXsXOaEq+42w5FW7rrbXmQ4uQRXTB6PRyP79+9m8eXNhuDYpKcnucfcl5joctnU1ZbDobCvcmhoHRjo8xo3d+NPf3oauS21UNT2RzRZMiVnkb05EVdMTbdNgLFkGjAkFn0eZL2UBYDicjMJTg8JLg7qev101BLn5EuJu37GCIAiCIAiCIAjXSbI1bV0EQfhPkmWZHQeOcvjkWVeXUkzH5o1pEFl+pwJBEARBEOyTlZPLT39sxlTCMp9VRd3wUHq0bY7ZZCbtag6pV7JIuZxFXrYBs8mCxWxBqVKgVCnw8NbhH+qFfw1PfIM8UChv6qIiyxw5coRVq1axatUqtm3bhsWBDv/u7u707t2bgQMHMmDAAEJDQx29uw7Zv/EMh7aeQ0bGFGLE4md9ICInO4v/PfckqclJjH3saYJr1CxxPy9vH4JrhPLTwm8Jrx2Bj58/qclJbPlzLWdOJPDElNdo0PifjpkWUF3UosyxLXDboE04rXo73pGtulh2JoMnd1xxdRl2MeWtwGLY4PRxb4toz9e9pqBW2n/tsF6vZ9myZcyaNYtt27bZdGxkZCSPPPIIY8eOJTAwsOiNb78NL71kd11VgUWC3KQreAaEuLoUAeDwYWjcuNzd5lEQsN0FtAIuAtffLb8FvPDP/zcGAoGNJYwxEDgEnLWhvEeAzykI25Ybj3r4Yfj8czZe2MvTmz7mQvY1G2ZynFJS8FjcCJ5t5boutxaLhe3bt7Nw4UKWLFlCcnIyHsMb4NYrwuGxa+i82NT3Cav2HTXmOf7eeZAtf84jLKzoYz0tLZOO3cZQp05NVi+fyTvvfs2hwyc4cOgEV64kc9fIfsz8uPjzXLPWI0i8UPLfK61Ww6Wz662qrXOP+7l8JZXWrVsX+apZs+TXHlXZoZTTDP3leTIMrutoWxI/rRe/DH6PBv7ldGy3gSX1FMY932I+sQbMtl/AVhbJpxaqpneiajLC4W62AEazib7Ln+Jg8iknVGcfSZb505hMJFX3fVZ5Hl3vzZI/dpObm+u0MQc19eWHByOcNl6l03rhNnYNkvq/c3Gg8N9xIi2RDksedspYpguZ5K07izEhFUumHpQKlMEeaJoG4datDgovDYbjKWR+uKvE41UxfvhObmvX3D1rteKH/v9zpHxBEARBEARBEAQRthUEoWyyLLNl7yESzjp3WUdHtGnSgCb1HL+aWhAEQRCEsiWcvcDmPQdcXUaJPN3dGNKjIzptxQRmUlJS+P3331m1ahW//fYbGRkZDo3XsmXLwq63LVq0KL0zZgVJPJ7ExmWHMNUwYPG17cT+sUMHeH/qi+Xu16FbT8Y9Nonvv5zJgT27yExPQ+fuTv2GTRg0YjThdSKKHiCD6qIGZbb1ockOgxsQ2aSGTfVXZ/lmC61WnCbNUL3CGLJsxJj1GsjOC2AADI/uzifdJjkUtL1ZfHw8s2fP5vvvvycnJ8fq47RaLSNHjmTixIm0bdu2oAvjmjXQr5/TanOFEyEePDH7IZYOfBtPERZxvdRUCAgod7d5FA3bQkHA9hgwG7h+uYczw7ZpQBMgCNhnzQGvvsqsYU157e+vrJyhYrQOacii217HpxKXED506BALFy5k4cKFnLup+7W6QQA+T7V2eI6eNeoxq+2I8ncErl5LoVO3+4hrWo9lP3xQ5LaHJ77O72u2snHdN0TWDadWZG8aNoyicaNoFv7wK8OG9iwxbHvgYAJ6g7HItosXr/LA+NcYNrQnX86ealVtjz/1DgsX/1pse82aNYuEb1u1aoW/f9XtTJeuz6LL0glczklxdSklCvcMZtPwWXhrPZw6rpyXjunoL5gOLkXOvGD/QJICZUQXVE1HoqjVFkly3uvmD/f+wNu7vnXaePZoZTHwo6mKrSBio4/WX+OlFZccGsPNzY127drRqVMnOnXqRLs2rVD/fDdydvW80EzV7G40nZ9xdRmCUCEssoXIucOrRKd2R0xqMYoXW9/r6jIEQRAEQRAEQajmRNhWEIRyVaUOtx2aNSI2ynndNwRBEARBKFv88VPsPnTc1WUU4abTMrBrO7w9nRsQKI3RaGTbtm2sXLmSVatWcfy4Yz+P0NBQBgwYwMCBA+nVqxceHhV/P7Iz8li6dLNNHW0rhQzqC1oUVna4HTS+NT6BlfPvXlW8E5/EZ0erVyDDbNiBOc95yzOrFEomNR/F5JajUDgxcHOjjIwM5s+fz6xZszh69KhNxzZv3pwJEyYwun9/PKKiQK+vkBorw7edw3nm7sZ0CWvGgn6vo1O5pgOocIOICLgpoHmzeRQP25bk5rDtkX++AKYB54FZ/3zf8J8vgNEUdMpt9c/xJ4AZwCngN6CXFXdj6ftPMtGzaryeaBQQydIBbxHk5lthc5w7d44ffviBBQsWcPDgwdJ3lMBvameUIY79bXuqQVcm1O9k9f7Lf/mTB8a/xozpz3D/vUMAWPXrX9z3wEu8N20S4+67HSjoxnv9AqHaUX0YNLBriWHbkrw7Yy7T3/+Gn5Z8SNfOZf1m/uvruT/x3JQPrdo3KiqqSAC3RYsWlfKayhqPbnifJQnWdfN1lXsa9OPDrk9WyNiybMFyaT+Wq4ewXDuC5doR5IwyLuJX6VAENUARHIsiKBZFeGsUXs6/uCrPpKfp9/eQrndtt+GHzTm8ZM5yaIyDF/OYtSmJzSeyuZxZEHQP81XTNcaLsR0CaFHbHYA/j2fxwbqrHL2cT2qOGW83JQ1DdTzZI5h+jbztnn/rqWz6fHzSpmOCgoIKg7WdOnWiefPmqNXqIvsYd32F8e+ZdtflSrp7lqPwE59ZC7euwb88y/bLh1xdhkO+7fMK/et2cHUZgiAIgiAIgiBUcyJsKwiCVWRZ5uipc+w8dAyz2f4lle2l02ro2LwxEWH/nU5mgiAIglBV7D2SwL6jtp1MrShuWg39OrfF38fLZTWcOHGC1atXs2rVKjZt2oTJZH+AVavV0r17dwYOHMiAAQOIiIhwXqE3iD92kt2HEypkbIdZQH1Oh0JfdohSrVEyYnInFAqpkgqrGrKMZnr+dpaLuVUsKF0K2ZKDMXsayI6FSK5rFBDJp90m0SQwyinjlUeWZTZt2sTs2bP56aefbHp8+/j4sDY0lDbHjlVghRWr55T2HKjtA8DdDfryUdenXFuQAMOHw48/lrnLPOwL204FXi9l39f+uR0KgriLgTNANuAPdAJeBKztydp4Wjeu+uqs3LviNQqIZMWg6U7tcJucnMyyZctYsGABW7Zssfo4Xc86eI6IdWjuL9vdRZcQ254nH5owlTV/bGPLhm/x9HCnQ9cxNGoYzY+LPyhxf1vCtrIs07zNSJRKBbu3/1DQ/dsKu/ccpu/AR2y6H9cpFAoaNmxYJIDbtGlTNJrKvWhgzdm/uWdNaY+sqmVx/zfpUatlpcwl67OwpJ8HUz6Y9KBQgkqLpPVG8q2DpLDuwitHLDr+B09sLPn3uzJ9YkpniCXf7uO/3prMpKUXiAnRMa5DALE1dEgSHL+Sz9K96Ww/ncPBV2KJDNKybG8aO87k0LauByFeatJyTXy1NYX1x7L4akxtRrW2r0N0tt5M6HMHsZRxZik6OrowWNu5c2diYmLKfS6Qc5LJm3cbWKrH697rFLXaoRs629VlCEKFmrFnIdN2z3d1GXbTKFQcuOd7Atx8XF2KIAiCIAiCIAjVnAjbCoJgk4ysHDbvOcDVlLRKm7NuWA3aN2+Em1ZbaXMKgiAIglDUoRNn2HHAtm6Pzubp7sZtndtUWkdba2RkZPDHH3+watUqVq9eTXJyskPjNW7cmIEDBzJw4EDatWuHUul48CA1I5MV67diqcJv/aR8CfVZHRKln4CPbh5Ku/71K7GqquOvKzmM2ujAcsyVyJT7HRbjXofHud7N9snmI9Eo1eUfUAEuX77MV199xeeff87FixetOqYNsKNiy6owu+v6cNvz7YtsW3TbG/Sq7fgS94ID3nkHpkxxdRUOueqtpfG73V1dRjFtajTk54HTHHqOycnJ4ZdffmHBggWsWbPGrgtwQiNrYXmmMWaF/X+nf+sxnkivQJuOSUvLpGP3e4mJrkNggC8bNu1k85/fElYzuMT9bQnbbti0i+F3TWLK8w8x+Snrl2u+ei2FhnFDrd6/PBqNhmbNmhUJ4NavX98pr69Kkq7PotOSR7iaWz060tf0CGTziDl4a6vOa+uK1OenJ9mX5PqLzzYYkojEbNex208XdJTt18ibBeMi0KiKX6z207502kd6EOpT8nOb0SzTcOoR6gZqWPtkjF11ALR46yjHrxZ081cqlTRv3rwwXNuxY0dq1LCvYYJ+3VTMR1fYXZcraAfPRFlHdMsUbm1XclJotuBezHLlN2JxhuHR3Znd8zlXlyEIgiAIgiAIwi2gYtZfFAThluXj5UH/ru3IunYRvd7+LgzW0Gk09GjbnB7tWoigrSAIgiC4WOOYuvTp2Ap3N9d0pYsIq8Hg7h2qVNAWCjpZDh8+nHnz5nHlyhW2b9/OSy+9RFxcnF3jHTp0iGnTptGpUydCQkIYM2YMixcvJj093a7xLBYLf+0+UKWDtgCyTsYcUHZAqX7LsEqqpurpUsODe6KqfgceizHe4aBtgM6bx5uN4O87v+LZVne7LGgLEBoayiuvvMLZs2f56aef6N27d7nH7AT2VHxpFWJu19rFtk3662My9TkuqEYo1LJyuk5WpPg69i9VXpF2XjnCB3sX2Xyc0Wjk119/5e677yY4OJjRo0ezevVqm4K2vr6+PPTQQ2zYsIHEhDPc0+g2m+u4kUapsvkYPz9vPpnxAlu27mX5L38y7c2nSg3a2mrBolUolUpG3Wnb/fLx8aZbt254eTlnBQODwcDOnTuZOXMm999/P40aNcLX15du3brx7LPPsmTJEs6cOYOzelFM3/19tQnaAlzKSWbG3oWuLqNS7Lt2vEoEbb1ki91BW4D31l5DqZD45M5aJQZtAYY19y01aAugVkr4uCtROrhaxD23tWbq1KmsW7eO9PR0du3axYcffsgdd9xhd9AWQNPxSXCzr+OuKyjr9xdBW+E/oYZHAP3rVt/f9bGNBrq6BEEQBEEQBEEQbhGis60gCDYzGAxERESQm5dP51796Nq7H34BtnVQKYuPlwexkXWIqROGRu26k+uCIAiCIBSnNxjZceAoJ85VTpdNnUZDh+aNqBseWinzOdP58+dZvXo1q1atYv369ej1ervHUiqVdO7cmUGDBjFw4EDq1atn1XH7jp5g75ETds9bqWRQn9Wh0BcPDgSFe9P3vhYuKKrqyDZa6PX7WRJzjK4upUQayYApZzr5xhS7jm8dEsvYhgMZFNkJnapyl/y2RUJCAnPmzGHu3LmlhuDHAt9UalWOS/FQEzetG3p18W6Po+v34eNuT7ugKgGAvDzksDCktMpbXcbZnr67Ed93ruXqMkqklBSsuf1j4oKiy9zPYrGwfft2FixYwJIlS0hJsf25TqfTMWjQIO6++2769euH9oaLilPyMui89BGS8tJtHhdgc98nCdZ52nVs34GPkJaWwc6tZQePre1sm5aWSaPmt9O1c0sWzX/Xxmok/Gt0xGKxcPz4cXbt2lX4tX//fodeS5UlMDCQVq1aFemAa2tYMNuQS+Pv7yHHmFchNVYUb40HB+75Hg+1ay6oqywvbZ3DF4dc3y21qcXISpN9r5XMFpmQZw/QNMyNPydZ917gOotFxiJDUraJr7cm8/4f1/jhwQj6NbL/Yi5VqwfRtH/U7uPLYjq5HsNvz1TI2E7lHoDb6GVIbr6urkQQKsWWi/HcvuoFV5dhs0YBkWy44zMkybGLDARBEARBEARBEABsb3sgCMJ/3qJFi7h8+TIAq5Yt4reflxDXqi13jL6XkDD7TqBJkkSdmiHERtYhNMhffPAhCIIgCFWUVqOmS6um1A2vwbZ9h8nOrbhAQd3wUNrHNcRNVz073NeuXZsJEyYwYcIEcnJy+PPPP1m1ahWrVq3i0qVLNo1lNpvZuHEjGzduZPLkycTExDBw4EAGDhxIp06d0GiKhxMzsnLYf/Sks+5OxZPAVMOA+pwWiaKvBev9h7vaXuepVvBtlzCGrT9PuqFqLd3pppT4oXs0cX7zOJZ2jv1JJziQfIL4pJOczbxMvtlAvsmAWqFEp9Lir/MmLjCGuKBo4gKjaRoUja/WOV0MK1q9evX44IMPePPNN1m8eDEzZ85kz56ivWznA48DzV1SoX3eGlqvxKAtwMLja7mnQT9a14it5KoEWZZZ+ccfZKrV3OPqYuyU4abipzZV94IZs2zhyY0fsHbYxyV20j506BALFixg0aJFnDt3zubxFQoFvXv3ZvTo0QwdOhRv75K7/Aa4+fBup8cY+8ebNs8BYLLY3ylTq1GjduKFzkt+XIteb+Ce0XZ0kJMKLrhRKBTExsYSGxvLvffeCxRc+H3o0KEiAdxDhw5hsTj+NzE5OZnff/+d33//vXBbeHh4kfBtq1at8PX1LXWMpSf+rHZBW4BMQw4/n9rEPQ36urqUCrX32nGnjGO6kEXe+rMYE1KxZOhBKaEM9kDbqga6TuEoPDRkzTuA/u/ir/WVIR64v9bG7rmTs03kGWVq+Rd/3W+2yNzYUkWpoMhnq7fPOc26Y1kAeOsUfHd/HYeCtgCYKu73XRXdE3NMX8wn1lTYHM6g6f6SCNoK/ykdazalvl9tjqedd3UpNnmg0UBxvkkQBEEQBEEQBKcRnW0FQbCJLMvExcVx8ODBYretWbOGbt27k5KeSXJaRuF/c/P1mM1mLLKMUqFAqVTg6e5GoJ8PAb4+BPr54O/jhUpZ8sldQRAEQRCqJovFQuKVJI6eOsfFa8lOGVOjVlMvIpzYyNp4e3o4ZcyqRpZl9u/fXxi83blzp0PjeXt707dvXwYOHMhtt91GUFAQANv3H+HIqbNOqLhyqc9pUeT9+7rQy8+NgQ+3RlnKUrn/NftT8rhr4wWyjFUjcKtVSMzrEkaXGrfm49Uau3btYtasWfzwww/k5+cDEAfsAqrDOh0bGwQw4slWUMYJ6KaEs+aB2ahU4prtymCxWFixYgVvvPEG+/fvJxqoJj3Ki/miex1eurPqB7WfbXk3z7UqiDSfO3eORYsWsXDhwhI/+7BG27Ztufvuuxk5ciQhISFWH/fQundYfuovm+f7vecj1PUMsPk4gMHDHiclNYOtG78rcz9rO9t26Xk/SUlpHNz7o83PGZKkwi+kndX75+bmsm/fPnbu3FkYwD15suIuNKpXr16RAG6zZs1wd3dHlmW6LZvIkdSzFTZ3RWoSGMX6YZ/eskEkk8VM5Nw7yDM51hk5f3Mi2YuOoKzhga5LbZShHmCWMZ3PIH/LBVRhXnhPaFEQtt1zBZ+niwZrJY2CnjW1fGeyr1P51UwjkS8fZngLX769P6LIbe2mH+PgxfzC798aUpOnegYXfn/ymp6MPDNXMo38sCuNlQcz+OKe2oxs6WdXLQCqxsPRdC/7+cARcl46+YvuRM65VmFzOEIZOxhtr9ddXYYgVLrNF/czbNWLri7DanGBMfx++4eoFOLckyAIgiAIgiAIziHOkgiCYJN169aVeLKpSZMm9O7dG0mSCA0KIDSo+EkeWZZv2Q/uBUEQBOG/SKFQUKdmCHVqhpCRlcOxM+e5cCWJ9Kxsm8ZRq1QE+vkQXTuMyFqht/wFOJIk0bx5c5o3b84rr7zClStX+O2331i1ahVr164lO9u2n19mZiZLly5l6dKlSJJEu3btGDhoMDUbxFXQPahYZl9TkbBt+0H1RdD2Bs0C3FjSvRZ3b7pAqt7+TobO4KGSmNs5nI4h7i6tw9Vat27N3LlzmTFjBvPmzWP27NnEnzzJm0BVj2Bk6ZQ8PaZxmUFbgHjTeZq0b8GH/3uXfv36VVJ1/z0Wi4Wff/6ZN954gwMHDhRuPwmsAapj38m5Xe1b/aayzYr/Ec2uNH5cuIQtW7bYNUaDBg24++67GTVqFFFRUXaNMa3jRLZeOkhSnm1hvBR9jt1hW2fat/8Yh4+c4vFHR9sVzlcoi3fsLIu7uzsdO3akY8eOhdvS0tLYvXt3kQ64Fy9etLmWkiQkJJCQkMCCBQsAUCqVNG7cmMjuTTnSIMkpc7jCweRT7L12nJYhDVxdSoVISDvvcNDWeDqN7EVHUMcG4P1ICyT1v69NNQ0DcetVF8PhGy4+VEioI32LjWO22F9HoKcKN7VEYqqh2G1z740gz2jhSoaREV+eKXZ7dPC/K4UMaOLD0NmnmLT0AsOb+6JQ2PlZrVSx79kkN1+0Q2eT/+MDkJ9eoXPZSlG7A5ruL7u6DEFwic5hzbi/YX/mHfnV1aWUS6NQ8Wn3SSJoKwiCIAiCIAiCU4mwrSAINpkxY0aJ2ydNmlRukFYEbQVBEATh1uXj5UHbprG0bRqL0WQq0ulebzBgMluwyBZUCiVKpQJvTw8C/XwI9PXG29PjP/06oUaNGowdO5axY8ei1+v566+/WLlyJatWreLMmeIny8siyzLbt29H5eHNffWaVlDFFcvibUa+JiOZJRq0CSe4lq+rS6pymvrr+LlnLcZvvcSxjOKBi8pQ20PNnI41ifPXuWT+qsjf359Jkybx1FNPsW7dOj7/7DP2rVxJc1cXVobX7mjAhQC3cveTVArOBeZw22230adPH9577z2aNq1CzzEmE5w4AampkJcHZjPodODhAfXqgbe3qyssk9ls5scff+R///sfhw4dKnGfj6h+Ydv1jQI5WcPT1WVYJceUz4uL3iN/S6JNx4WFhTFq1ChGjx5Ns2bNHH49E+Dmw6Lb3uD2Vc+TZci1+rjD6VdoFVDboblLsnXbPlJS0wEwW8xcuHCVX1ZtAKBDu2YEBhbtivn9olUA3DNqgF3zKVWO/774+fnRu3dvevfuXbjt8uXLRcK3u3btIjU11eG5zGYz8fHxnIjIxb2BfQHrqmJ94u5bNmy7P8nx3uC5v50GwPPuRkWCttdJKgXauOBi22+mx/7nCKVComs9L9Yfy+JyhpFQn3/758eGFrweO5diXZi3VR13/jiaRVK2iRBvO/vwq7Tl7+MghX8kuiEzyV8+AfSZFT6fNRRhrdD2fx9JWR3WLxCEivFa2wdYf343idlVs/P0dc+0vJtY/whXlyEIgiAIgiAIwi1GhG0FQbDaoUOHWLNmTbHtNWrUYNSoUS6oSBAEQRCEqkitUlEj0J8agf6uLqXa0Wq1hQGRjz/+mKNHj7Jq1SpWrVrF1q1bsVgsVo3Tva99IZcqQSrobusne9OsW11XV1NlRXtr+bVPHT46nMKnh5ORpcrr/js2xpcXmwbhUULYRCjo+t2nTx/69OnD5c2bybrtNrxyclxdVjELOoQxv1O41fvrutQib81p1q5dy7p16xg7diz/+9//CA0NrcAqS3H+PPz5J+zZU/C1f39ByLY0MTHQsmXBV7t20KEDKFz/+2s2m1myZAn/+9//OHr0aJn7/g4sBu6slMocl6NR8sJdDV1dhk10XWuRv7n8sK2vry8jRoxg9OjRdO7cGaWTO/LHBUWzoN/r3PXry+Ra2Y3zcPplp9Zw3fT3v2Hr9v2F32/Zto8t2/YBsOLHT+h0Q9g2L0/PT8vX06FdHNFR9gV/VeqKCWeHhoYyePBgBg8eDBRcnHTmzJki4ds9e/aQY+dztaq2j1PqNF3IIm/9WYwJqVgy9KCUUAZ7oG1VA12ncBQeBZ1/ZbOF/A3nyN92EXNSLpJKgTLUE4876qOO8itnlpLFOyGQ6mqyLGMymcjLyyv8ys/P5++EfY6Na5ExHk9FVccbpX/5F6gAYDCT8tyfyFkGFD5aNHEhuA+OJsPNsUD+M72DWXskkycXJ7LggbqolbaPJ8syW05m4+umJMDD/tNDkrZyLmRRBDdEd8fX6FdMQM5JLv+ACqSs2wVNv+lIKnGxmfDf5qlx5+NuTzNs1YuuLqVUcYExPN5shKvLEARBEARBEAThFiTJsiy7ughBECqXRZbJyMomOS2TtIxMDEYTJosZZFAqFahVKny9PQn09cHPxwvlPychx40bx9y5c4uN99ZbbzFlypTKvhuCIAiCIAj/Kampqfz++++sWrWK3377jfT09BL3CwyuwbRZX1ducU4m5SsY1K09QWHOCa/cyrKzs6nbpR/SqOdR16pXoXPV9lAzo00NOoS4V+g8t5wDB5C7dkUq5THrCr+0COGhB5thsXHp6LT/bcF8Mbvwew8PD5577jkmT56Mh4eHs8ssymKBNWtg1ixYvRoc+TgrOhomTID77wf/yr8wxGQy8cMPP/Dmm29y/Phxq44JDw/n9cceY+yMGUhJVX+5+hfvjOWr7nVcXYbN0t/9G9Pp9GLbdTodgwcPZvTo0fTr1w+ttuI7Ou66cpRRv71KhiG73H2jvAL5tcf4Cq+ponn5N0WtcU0narPZzLFjx4oEcPfv34/RaCz3WP/3e6Dw1Dg0f/7mRLIXHUFZwwNdl9ooQz3ALGM6n0H+lguowrzwntAC2SKTOXsvppNpuPWpiyrSFwxmTOczUdX1RdMw0K75Q9z9OTRmgUP34UayLKPX68nPzy8Wfq3I70u6MM1jeAPcekXYfV8smXpSn9uAplUNvB9sVu7+eevOAqCsWRAeN55IJW/9OZT+OgKeb8dRZQqORDW/2pLM5GUXqBeiY1yHAGJDdSgkuJJpYsX+dJbHZ/DpneGM6xjIyC9O0yTMjabhbvi7q7icaeT7HamsP5bFhyPCebizfb8vANpBn6CM6OzAPbGNJfMShnWvYrm4p9LmLCQpULW4D3XbCaKjrSDcYM6Bn3ll+xeuLqOYMM8gVg1+n3Cv8juOC4IgCIIgCIIg2EqEbQXhPyIrJ4+Es4lcTkohJT0Tk9ls1XEKhQJ/b0883bQ8dO/dnDlVtNOFu7s7iYmJ+LvgBKUgCIIgCMJ/lclkYtu2bYVdb2/siNiqfScemWxfh5mtG/5g7syPeHnaR0RExxS7/ZO3p3Ix8RzTZxdcgPXTwm85uHc3KcnXMOj1+Pr507BpMwbccRcBQfaf2JIkifuG9HF6t8Bb0fTp03nhhRdApca96zA8eo9CXce5y0DX9VJzb7Qv90T54q5yfTfQ6ih313ZyenYjKMtg9TEHgA+BjcBlCpYmqgfcBTwI+ANbgHnAPuAQYADOABGljPkpME2n5JLJgsJHh659GG63RSIprft3zfr2IPrtF4ttr1mzJm+++Sb33nuv8x+3+fkFAduZM+H0aeeOrdPBXXfBCy9A/frOHbsEJpOJBQsW8NZbb3HihHVdJGvXrs2UKVO4//77CwKey5bBiKrdpWtrjB+3P90G2cYwd1WQ91ciOQsPAwWfh/Tu3ZvRo0czdOhQvL0rPwR6JOUMD617h4T0sjvuKpDYPeAZPFSOBT5dzS+4PZKi6vzt1+v1HDhwoEgA9+jRo0UCnQp/Hf5vd3NoHuPpNDLe34k6NgDvR1og3dQ5XjZZMBxORhsXTN76s+QsO4bPs+1QR/o6NO/N/uc5HI1esingWtpt+fn5VJXTDh6jGuLW1b5uy2B72LYk+r1XyPpiPx7DG/B7Vy9ayOWHuMty4GIeszYmsflkNpczjEgShPmqaVvXg7vb+NOtnhcAH6y7yvL9GZxO1pOZb8bXTUnzWu5M6BpIv0aOXdTm9sA6JPcAh8awlSxbMB1cinHrR2DKr5Q5Jf9INL3eQBnSqFLmE4TqZvqu+by/d6GryygU5ObLysHvEeVr/QoegiAIgiAIgiAIthBhW0G4hcmyzMWryRw9fY7zl685ZcyEo4fY+Puv7NmxFbPJxMSJE5k5c6ZTxhYEQRAEQRDsc+rUKVavXs3KlSvxq1mHvoOH2TWOrWHbBV/Owj8omNDwWuh0bly+cJ5VPy5Gli288eFsPL3sDyYN7tGBID9fu4//L8jOziYiIoKUlJQi29UxzRn67jfsMrhjsNj3ll8hQd8wT+6N9qVTiDsKqfqF5qqS7ZcP8dSXE1n02R4ik3LL3f9LYCJQ/5//NgSMwO5/bosDfgZeB+YCzYF0CoK5pYVt3wJeAdz61kXVMBDTuUxyf0lA2y4Mr3saW3U/8jaeI+eHo6XeHhcXx4wZM+jZs6dV45Vr504YOxaOHHHOeKXRauGNN2DyZKiAkL/RaGT+/Pm89dZbnLYyMBwREcFLL73Evffei0ZzU4By9GhYtMjpdTpDlk5Jj5c6cjbI/g7YpgtZ5K0/izEhFUuGHpQSymAPtK1qoOsUjsJDU9A1c8sF8jYnYrmWA0oFypqeuPepi6aJ/Rd7mBIzabDewujRoxk5ciQhISF2j+Us+SYD7+75npnxP2KRi3ftvO6jVrdzW1jDSqzMuVQaX7z9rXsucqXs7Gz27t1bGL7dlnaEvGFhDo2ZMXMPxsPJ+L3ZBaW/W5n7pr60CWWAGz6T2jg0Z4l1fLYH46Gq3znbVh4jY3HrYX+nbdkik/LUOlRhnvg+397+MZ5eh6ZxEB+PjeReS/mvBaoyySMYt3FrXDa/JeMChvWvY7m4u+ImkZQF3WzbPIykqvhu5oJQXcmyzEf7FvP2rm9dXQphnkEsG/A20SJoKwiCIAiCIAhCBVK5ugBBECrGuUtX2XHgKFk5zv3wtl5sY+rFNiYzPY2VSxfx1FNPOXV8QRAEQRAEwXZRUVE88cQTPPHEE6zcsJVrqRmVMu/dD00s8n2Dxk0JDK7Bx2+/xv6df9OpZx+7x05OyxBh23LMnDmzWNAWoENNb5YMbUaa3sy+lDziU/M5mKbnQGo+l/NMJY4VrFPSxF9HUz8dTf11NA/QEaQTHxk4S3zSCU6HeND95Q68tPwED284V+q+24EJQG9gOXBjvKM3MBn4/Z/vXwFe++f/36cgbFuSQz5aXss2oO0QhvvtBR1cNfUDwGwh95cTuPWIQPXPctdl0dTxJaeM2+Pj4+nVqxcDBgzg3XffpWFDO4N/+fnw+uvw7rtQwpLgTqfXw/PPw08/wdy5EBvrlGENBgPffvstb7/9NmfPnrXqmKioKF566SXuuece1OpSlqr++mu4dAk2bXJKnc5iVKu4Z0Jzh4K2+ZsTyV50BGUND9x610UZ6gFmGdP5DPI3J2I6nY73hBbkrjxJ3q+n0HWphWZoPWSThfwN58icuRev8c3QNq9h1/za2r5s2PwzuirUIVan0vBq23EMiOjAExs/KLXL7cIze6p12Fbnbt+/WWXz9PSkS5cudOnSBYDvjvzK5M2f2j2ebJExHk9FVce73KCtOTUPS0oemqZB5CxPIH/rBeQcI8oQD9z61EXX3rHQr8Kr6vzeO5NstG51r9JICglNA38Mh5Ixp+Wj9NPZWQggwUGp+r++UgQ75++k3fP7hKO9/QssF/dgOrgE8+kNYCn5Na7N3PxQNRqGqtEwFN41nTOmINzCJEni6RZ3Eejmw5Stc8g3W7+ShzM1CYziuz6vEu5l/0VXgiAIgiAIgiAI1qj+n+wIglBEvt7A3/FHOJV4qULn8fb14+6HJnLicgo1aobh5WH/yTRBEARBEATBOWRZJj2rrChcxfPyLliSVuFgd8jktExnlHPLysrK4r333ivxtqlTpwLgp1XSo6YnPW4IUaYbzOQYLeSZZUBGp1TgrlLgr606y3bfig4mnwIgV6vipTtjWdUihI+/PUjd5Lxi+74NSMAXFA3aXqcBBv/z/4oSbr/Zgg5hPB3pi/n7w3i2L9rlSdchjNwVJzDEX7UqbOseFchtd49m4YKyl4pdvXo1v//+Ow899BCvv/46wcE2nPQ+eRKGDKn4brYl2bEDmjeHjz+G8ePtHkav1zN37lzeeecdzp8/b9Ux0dHRvPzyy9x9992oVOV8XOfmBr/8Ar17F3T/rQo0Gl5+uifb6tq/gJbxdBrZi46gjg3A+5EWSOp/f8M1DQNx61UXw+FkAPTbLqCK9sNz9L/LemtiA0h9bgP67ZfsDtuaZQtHUs/QIri+3fejorQMacD6Oz5j6Yn1fHN4FYdSinZJ3plynpNZSUR7BbmoQvtJCg1qbeUuR+8seQ6GiuRsAxjMKALKDtoCWNL1AOi3X0Lhp8PzroZIbirytySS/e1BMFnQda5ldy03PuZuJXKO0eEx3PpFYjiUTPb3h/Ce0AJJVfRnJZstGA4no21a8t87w94rYDCjruvLNoUGi9m6v+FVlaKW8zsr20qSJJThrVCGt8KSfQ3zkZ8xHf0FOdOOz8QlJYoaTVE1GYEyuieS8tYMngtCRRoTexvtQ5vwxMYP2HW19JUwnE2tUDG5xSieaDYStVKc8hYEQRAEQRAEoeKJdx6CcAs5d+kqW/ceJE9feVcPX05K5ac/NtO6SX1iI+sgieVlBUEQBEEQXMZkNmMwOt7VyWIxYzYX7wImU3KIymw2YzaZuHLxAj/M+4KQmmG0aNvBoRpy8/IdOv5WV1pX227dutGtW7dSj/PVKPHViGBtZUvKSy/y/fYYf7q90pFH157h/s2JBGcWvIczA38CLQH741IFttTz5+N+kWxsGEjOz8cBUIUVDdQqfHRInmrMl7KtGlNvMTLnmy946smnmDx5Mps3by51X7PZzJw5c1iwYAEvvvgiTz31FG5u5YTJDhyAPn3g6lWr6qkQej088ggkJ8OUKWDDe9z8/Hy+/vprpk2bxoULF6w6pn79+rz88svcdddd5Ydsb+TtDevWFQSTN2woc1e9pyfJkdGk1qmLwd0Ds0aDLEkoDQbU+nx8E88TePok7qkp2PWO3sODvGVLmHd+Jsj2h21zfysIj3re3ajE0J+kUqCN+yfIplQguRX9eUlqJagVBV8O2J90okqGbaGgy+2Y2Nu4p0E/dl89xtwjq1hx6i8M/3R0XHhmL6827eviKm2nc69RbT9PMlsc65pqk38eX7LJjPdjLVH+E9BVxwaQ/s52cn895VDYFmXVin8qlUrc3NzQ6XS4ubkVftn6/Xl1Ol8YNzpUizrSD89RDcledIT0t7eh61IbVU1PZLMFU2IW+ZsTUdX0RBXmRdbX8Whbh6IMcgcJjAmp5P15DmVNT3Sdwrkgqdgkaeguu6b7o8NUOlQNBrm6iiIUnsEo2oxH3WY8cm4KlmtHsFw7WvCVdhZM+cimfFAokVRa0HihCKqPIigWRUhDFAExSOryA++CIJQt2jeclYPf4/ODy3ln13cV3uW2SWAUn3abTKOAuhU6jyAIgiAIgiAIwo1E2FYQbgGyLLPncALxx0+5ZH6T2cz2/Ue4kpxG19ZxKBVV68N5QRAEQRCE/wqz2TnLrb89ZXKptwUEFe3YlZGWyuSHxhR+HxlTn2envoOuvFBdOSo1vFLNZGVl8f7775d422uvvVbJ1QjW0JdwojlXq+K9QTF8dFsUA/ZfZeym80SdSCMXcOR08Q9ta7KybyQJN3SqteQYQaVA0hb/GEjhocaSY/2J8DyTgdatW7Np0yZWrFjBc889x4kTJ0rdPysriylTpjB79mzefvttRo8ejaKk94wHD0K3bpCWZnUtFerll8FohH86RZclLy+Pr776imnTpnHpUtkd9SSdClVtb2q2jqF+9+ZkeBh5LW85L8xbgtFiRqtUo1NqqONdg7jAGOKCookLiqGBXx00SnXRwby84Ndf4emnYc6cws16dw9OdenG5UZNSYmMJivEui6vbmlpBJw+ScjxI8RsXI9HavFAfzH16sGCBZypG4DlnP1/g2SLjPF4Kqo63ij9y//74dajDjk/Hid/6wU0zULAZCZ37RnkPBNu3evYXQfA6YyLDh1fGSRJonWNWFrXiGVax4nEJ58gPukkx1NPk2XU46UuqS92VaVA62ZfJ+KqoNjj0kaSpwY0SiwpxTudF9vXo2AuZYhnYdAWCn4fNA0Dyfv9NJZMPQpv+/79ZWPpr73UarVTgq83f1/WPmq1Yz/b69Lys/ji240Oj6PrXAtVXR/y1p0lb23BzxqlAmWwB9o2obh1qwMKCYW3lrx1Zwtul2UU/m64da+D222RhX+Hv1O6091UPcO2ynq3IWm9XF1GqST3AJQRnVFGdHZ1KYLwn6RUKJkYdwd9I9oxc/8yfjy5gVyT3qlz1PerzbhGgxjToJ/oZisIgiAIgiAIQqUT70IEoZqTZZlt+w9z7LR1S1NWpDMXLmM0mujZrgUqleiWJQiCIAiCUNnMFueEbR94fDKhYcU7oy2e9yWpKUlFtnl6+/DytI8wmoxcvpDImhXLeG/qizz7+jR8/fztrsFZweFbkb1dbQXXMcmlB5iMKgXLW4WyvFUodRNS4INdJPrrOKlWEH01t8xxc7RKDtbyJr62N8uyDLDrMu8OikYZ6F585zKbRlrfUdL0TwdNSZIYOnQo/fv3Z86cObz++uukpqaWelxiYiJjxozh448/ZsaMGXTp0uXfG0+dKuhoW1WCtte9/jr4+BSEWUuQm5vLF198wbvvvsvly5dLH0cpoWkeglvX2qhjCp4Xc4C9prOQUXTXPJOePJOetKQs9iedgH9W4dUpNQyO7MzYRgNoGdzg3y6gOh3Mng3Dh5PyymscbdqCU527YdLpbL67eX5+XGjZmgstW7P3znuos+tvYtesJvRgfPHfEEmCyZPhjTfAzY38a8dtnu9GcrYBDGYUAdZdqOHWMwLUCrIXHYH5hwpK8lDjPbEF6mg/h2rJc3IgpKJ5az3oHNaMzmHNANDnXiUns/QAfFXj7lUHRTVest1N5ViwWVJIaBr4YziUjDktH6Vf6Y9dZZA7lNad/npXaYX9HYJfm/IK/Wu2LTH4qlRW38/5/HRe1PGqwbmsKw6PpQr3xuv+pmXu4/1I83LH2ShpSURBLarf6111kxGuLkEQhGogyieMD7o+yWvtHmBxwnrmHlnFyXTrVn4oiUqhZEBER8Y2GkCH0CbVtiO+IAiCIAiCIAjVnwjbCkI1Jssyf8cfqRJB2+suXE1i/Y699GrfUnS4FQRBEARBqGTOev0VGlaLiOiYYtvd3N3hpoynUqks3DemQUMaN2/JixPH8dvPSxk1brzdNSir2FLGVYXoals9aRXWdec7He0PGiU7fLS0f749nnkmmlzIxD/bgM5gQW22kK9RkqdWcjrYnVMhHlj+CVblrj0Du0oOfCo81GC0IBvMSDcFtSw5RlS1re8eqL0pFKfRaHjiiScYM2YMb7/9Np988gkGQ+nd+nbv3k3Xrl0ZOnQo06dPp16dOjB0KFxxPARVISZNgrg46NGjcFNOTg5z5szhvffe4+rVq6UeqvDToetcC12ncLs7TV6Xbzaw5MR6lpxYT5PAKMY2HMgd0d1wV+u4mpLGTqU71yZPcWiOG8lKJWfbdeRsu474XEyk5Q/fU3f7loIb69WDefOgfft/66vkDo352y6Qs+QYbt1qo24cBCYL+X9fJHP2PrzHN0PTKMj+sSt4yWNnkA25WJKOYUkqWCZdzkkCswHMRmSlBkWjPlj8wl1dZrlUam+07jVdXYZDIrxDHR7DrV8khkPJZH9/CO8JLZBURV8DyWYLhsPJaJsGo40LRr/3Cubk3MILK2RZxnAkGUWQOwpP+4PLvZp3Jq5GrEP3papqGhTtlLCts1gkie+V7rxoznZ1KTZR1GiKIvjW/B0RBKFi+Gg9ebjJEB5qPJi9146z59px4pNPcCDpJAnpiVjkki868NZ40DQwmrjAaOKCoulQsykh7vZfzCsIgiAIgiAIguAsImwrCNXY/mMnOXLqnKvLKObClSQ27z5A19Zx4gpjQRAEQRCESlQVAqr+AYH4+Plz9ZJjy3CL15ElE11tqyedlZ0Pb+5wmO2nY3uM4yeVlWEFyz2bLmahrutbuN2SoUfONqKs6Wn9WJaSH5t+fn689957TJgwgRdffJElS5aUOc7y5ctZtWoVq5o1o++hQ1bP7xIPPAAHD5INzJo1i/fff5+kpKTS91dIuPWui/vAaCS185+XDyafYtJfH/PR3sW8GHEfGVfK7oDsqIywWvw5+UUijh+hQ60auI0cAdqiv9OOXuwheWpAo8SSklfuvpYcI9mLjqDrGI7H8AaF2zWNg0ifsYPshUfwf6ur3bWopKrZwdOSeQnToWWYT29ETjsLyKXuq047jb7vFNCU0OW6ylDg4RNT7f/eNw2McngMdaQfnqMakr3oCOlvb0PXpTaqmp7IZgumxCzyNyeiqumJtmkw7oNjMBxOIvPTPQXPMToV+VsvYL6QhdeDzeyuQSEpaBRQ1+H7UlX1qNWKlae3uLqMIuYpPLjTnEckpXe/r1IkBeouz7m6CkEQqilJkmgZ0oCWIf++dssx5nM28zJ5pnzyTQaUCiVuKg2+2oKO5NX9NYIgCIIgCIIgCLcmEbYVhGrqakoae49U3WUBTyVeIiwkkJg6Vb+TiiAIgiAIwq1CpVSiUaswGE0uq+Hq5UukpabQrHVbh8ZZungx/3v+adq0aUPbtm1p06YNkZGR/+kTbllZWbz33nsl3jZ16tQKndtsNpOamUVKWibJaRmkZGRiMBgxWSzIsoxKoUCpUuLr5UmgrzcBfj4E+vqg01bfpcGdyZbOh7Z0OLSWplEgqBXot18sErbN334RJNDEhVg1jiVDT4h/EM2bN6dt27aFXzc+NiMjI1m8eDFPPfUUkydPZvv27aWOF2cy0XP3bqvvh8ucPcueXr3oe/JkiWH3GylDPfG8rwnqCJ8KLam2qgbDVb0qPGh7o7P1G3JFo6FDUip1w4v+TuuUjnXuvTlorvTTlbqv+WoOGC2oSvgZq+v4kHciDTnfhKSz72PPm7s3u5IsW7Cc24bx4FIsZzdTVsD2RlJ+Bup9yzC2vbdiC3SAu1cdlCo3V5fhMC+NB1E+YZzKcOwiI13nWqjq+pC37ix5a09jydSDUoEy2ANtm1DcutUBQBnkjs/ktuQsTyB7wSFks4wq3AvvCS3Q2PB34Wb1/Wrjri79cVfd3R7Vlde2f0mmIcfVpRTKlySeVfmw1JSK6y+XK5+qxX0oQxq5ugxBEG4hHmrdLX2hhyAIgiAIgiAItyYRthWEashkNrN59wFXl1Guv+OPUDM4EA+3W/fDekEQBEEQhKpEkiQCfH24nFR2GMwZEs+eYfG8L2nZviNBITWQJAUXz5/lj1XL8fT0ou/gOxwa//SJY2zfvr1IUC8gIKBI+LZ169YEBgY6eleqjc8++4zU1NRi27t3707XrvZ3cSyNxWLh3KWrHD19nqvJqVjk8kNe6ZnZnL347zLN3p7uxNQJp35ELdx0joXxqrO4oGir97Wlw6Ely4AxoeB3wnwpCwDD4WQUnhoUXhrU9Qq64io8NLjfFkXuyhNI7mo0DQMxns0gd9VJtB3DUVnZ2dZ0PgODwcCOHTvYsWNH4fYbH5vXH5/t27dn69atLFu2jOeff54zZ84UGUsDzKX6fDDVcscOmgIbytjHrU9dPIbUA2XFXhTQXteUQR6dUUiVH8/KNxj4c8c+GiSl0KFZo8KQtb/Oy+GxrQ2aq8L/6dR8Jh3ah/17uyxjPJOO5K4Grf3daf2ccF+cwXxpH4Y//4ecdqb8nUugPL8Li2cQ5ka3Obkyx2ndQ9G613R1GU4TFxTjcNgWQBXujdf9TcvfL8wLn0dbOjzfjZoGWv93qjryUOsYVb83nx9c7upSitit0PCNwp0HLZV34YQ9JP9I1G0fcXUZgiAIgiAIgiAIgiAILlddzmkIgnCDPYcTyMiuOp0YSmMwmti69yC9O7T6T3cgEwRBEARBqEyBfpUTtvX29cXX35+1K38mIy0Vi9mMX0AgTVu2YcCwkfgHBjk0/rlTJ4ttS0lJ4bfffuO3334r3BYVFVUkgNu8eXN0uupzsZcsy1hkUCrKfr2clZXF+++/X+Jtr732mlNrysnN4/jZRI6dSSQvX+/QWJnZuew5nMC+IyeICK9BbGQdQgL8/nPvD5oFxdi0v7UdDk2Xssj6cn+RY3MWHQFAFeOH7+R/O0y7949C0inJ33SevHVnUHhrcetbF/f+1i+BbjqXWeL2kh6bMTExhY/N7777jq1btzJt2jTS09MBeBhoYvXMVcPHQIkxOAkiJ/UgM6biO6J2d2tFX4/2FT5PeY6dPo/BaKRrqzgUCgXhnsH4aj1J12fbPabVQfMJLdA0DyF/cyKoFGgaByGbLOi3X8R0Kh33wTEOPcc0CbD+MVERZGMexr9nYtq/EGs72ZZGdeRXUOsw1+vunOKcQOMWjLvXrdWpvnlQPX46udHVZTikRXB9V5dQ4e5vOKDKhW0B3lN60d2iJwqzq0spmaRE0+sNpCrU9VsQBEEQBEEQBEEQBMFVJFm2ojWNIAhVxrWUNFZuLH0ZzqqoS6umxNQJd3UZgiAIgiAI/wmnEy+xYed+V5fhEJPJxGNjhmMyGm0+VqVSERcXVySAW///7N11eFxl2sfx7zmjcfemSdNUUncvNVooVqy4LbYLu8giuzgsu9gCL24LLLa4F1poS4W6u3vapk3jntFz3j9CQ0NsMpnJJOX+XFcv2nOe8zz3kGQyyfzO/fTogaoGboNeXdc5UuViU7GNTUU2Nhfb2VZso8ShYddqfiQ3qRBsUOkabqZftJV+UVb6RlvoHm7BqCo88cQT3HffffXmnjBhAvPnz/dJnW5NY+OOPWzYsRd//qogOT6GMYP6ERbS8bcP95Rbc5PxzoVUuWyBLqVVyl5di2NTvlfXms1m+vTpg6ZpbN60iS2aRk8f19cWxgJLTvj36LFjiLpxECsqd/l97XFBg5kaMsrv67RE19Rkxg3tz549e7h0zsNkG4tbPafrcBnVPx3AuauoTtDc3C+OoPFpqGFmdKeb6gUHsa88glZY9cuYYKzj07AMS2pVkHP9Ze/RKSy+1Y/DG+4jG3DMexi95KDP5tQBV+8zcfc63WdzessSnHTSBW0BciuLGPjRVbi0dhqWbIZZNbLhig+IC4oMdCl+d9HMB1hweG2gy6inq+7ic2chMa0M2PuDeeJDGHufF+gyhBBCCCGEEEIIIdoFCdsK0cHMWbqGQ7l5gS6jRcJDgrnwtHEn3ZspQgghhBDtUVlFJZ/P/jnQZbRK9r49/PNvt/lsvvDwcIYOHVobvh02bBhJSUk+m78xRXY3n+0v5YM9JRyoaHlwGCDMpHJ2spV3bjiPwq31wyELFy5k3LhxrS2VgpJSFq/ZRFFpeavn8oTJaGBY3yx6dEn93fyccM6Mu1l+dEugy/CYCSNJxlg6GeNJMMZgUczoW4vRnW6cTie26mqOHDrAgb17OLR/Hw6H512QJwLz/Fe6X30CXAqMGzeOBx96iG+VDXy8a67f1x1m6c35YRP9vo43NqxcystPP07wud0JPj0j0OW0Sow1nO1XfRKQ5yXXzlk45j4Eun8Cm66M0bj6nwdGi1/mb5pCUFga1uCUk/Y5/7q5jzNj3+JAl+GVCzMn8NqkvwW6jDaxu/gQE778M3a3d6/L/KmP5uRjVxHh7ShwaxpzB6aBVwa6DCGEEEIIIYQQQoh2Q8K2QnQg5ZVVfPbjwkCX4ZXTxgylU0LrthIWQgghhBDN03Wdb+YtabPQpD+U5x1h/g8zWLlyJXl5/rnRLDU1tU7328GDBxMaGuqTuTcW2Xh3dzEzDpZjc/vuR277tlVUzv0I26q5oLl90tVW0zQ2tEE328Ykx8cwdnA/QoNP/i63722bxV2LXwp0GU1KNsQxzNqbdFMy8YYoVMWzjtCa283RnEPs3r6VRT/N5uD+vU2O/wK4wAf1BoJLUVj1xReMOv98nln7IU+t+Z/f10wwRHNL5CUYFYPf1/LWq08/xhbnXsJvHBjoUlplQqfBfHbmv9p8XeeWL3AueBz8HLLTQmJxDr0MPa6bX9c5kcEUSkh4N4ymkDZbMxCWHtnEud/9PdBleGXmtGcZltgr0GW0mVc2fsEjK94OdBkN6qM5ed9V1C463JpO+Tum/pcEugwhhBBCCCGEEEKIdkXCtkJ0IKu37GDTzn2BLsMrnZMSmDxqcKDLEEIIIYQ4qei6jl6Wg5a3HS1vG1r+drTCvexRu7E6/KxAl+cVVVG4+IyJBFst6LrOwYMHWbVqFStXrmTVqlWsXbuWqqoq36+rqvTu3btOALd3794YjUaP5yhxuHl4XR5fHCjzeX0nch7YTvHr9zLv/Tc45ZRTvJ7H5XazcNUGso8c82F1LRdstXD62GFEhYcFtA5/q3BW0+9/V1Du8P3nb2sYMdDP0o0R1r50NiX6ZM69O7ezYPZM1ixfgstZt3tgInAI8Pwrqx167DE23nARp319G25d8+tSKgo3RUwn1ZTg13Vaq6ykmIcfuBXzA0NQjJ6FtNujR0fewE39zm/TNV3bv8Px00Nttp6OgjtzLK6+5/i5y61CUGga1pCTt5vtiXRdZ8xnf2RXyaFAl9IivWMyWHDBy7+Lj9Fxbs3NWd/exZq8HYEupUFddRf/cRaTiX+6XDfLFIR5woMYe0wNzPpCCCGEEEIIIYQQ7ZiEbYXoIFxuN5/OWoDN4Qh0KV5RgIumTvhddKwSQgghhPA3rSIP19avcG/9Gr2yfudXp2Lm24S/41StAaiudTI6JTFheOOdEV0uF1u3bq0TwN26dSua5vvAW3BwMIMHD64N3w4fPpzU1NQGAyk/Hang76uPkVvt8nkdDdLc3NE3nlt6xWA2tDwg43K7mbtsDUfyCv1QXMtZzCZOHzuM2MiIQJfiV/cufY23tswIdBlAzc9ow6x9mBI8ghDVPz+nlZeV8s0nH7Bo7o+1nZMvAj71y2ptR5swgYk39WRr0X6/rzU+aAinh4z0+zq+sGrpz3xU+iPWYcmBLsUrVoOZjVd8QLQ1vM3WdGcvw/7draC3fahOt0bg6joGd8Yo8OFjVhQjluAELEFJGIwd73VIa3y+az43L3g60GW0yH8m3cN5meMCXUab2118iIlf/gWbu33+nnVwTDrfJGSibfgQf3e8PpGaMgTzpIdRIzq12ZpCCCGEEEIIIYQQHYmEbYXoIA7k5DJvxbpAl9Eqg3t3Z0DPzECXIYQQQgjRIem6jpazBtemT3HvW9hsMGdt+JnsCh3VNsX50JnjRpAYG92iayoqKli7dm1t+HbVqlUcOuSfznIJCQl1ut/2GjiYp/fY+dzP3Wwb0yvSwssjk+gR4Xl3Qk3T+Gn5Wg7l5vuxspazWsycOW4EkWGhgS7Fb3YVH2T0Z38MdBlEqeFcGDqRrubUNlnPXlnOoh9nsHD+PO48doy7mxn/LvCHX/6+ABj/m/M60A3YC4wDFv5y/H1gFrAe2A10Bg40sc4S4HFgOWADOgFXAQ82U58tLJjUf48FP3eCjDdEc2vkJRgVg1/X8aU3PljO/qlrAl2GVy7pPpmXJtzRZuvptlKqP7wQqgrabM0G61AMaCn9cWWORY/z/nc2BlMo1uAkzNZYlA70OetLuq5z+Y+PMPfgqkCX4pEz0kfy7pQHf1ddbU80+8AKrp7zT793KG+p1NB4vp/2DMmhcbiPbsTx08PoJdn+XdQUhGnU7Rj7XoiidNzu5EIIIYQQQgghhBD+JmFbITqI1Zt3sGnXvmbHLV0wl3deeZ4Hnnye9Mxu9c6/+Pgj5BzK5qnX3qG6qop5P8xg28YN5B45hN1mIzY+gRFjJ3DqmdMwmc11rnW5XMz66jOWLphLaXERsfGJTDj9TCadcY5Hj6FzUjyTRw3x7AELIYQQQohaWnkujvn/RDu4zONrygwxzIq/Db0DBV5ioyI4Z8Ion4Q+jh49Wqf77erVqykr820gVgmJIOZvb2DuPsCn87ZUhEnl/XGdGBLrWXfSJWs3s/NA+9zmOiTYynmTxmD5zc8iJ5OrZz/KrAPLA7b+cGsfzggZjUVp2//HRoOBoX170OXKywha3vTjf5easG0YMA344DfnFwITfjk/iF/DtpOBXGAAsAJw0njY9iPgSmo67V4GhFIT3j0CPOTB4xn6z1M4EBfswUjvXRJ2GgMs3f26hq8dORTC/xV+grHTgUCX0mJzznuegfE92mw9+5wHcO+c2WbreUK3hKFFpaJHpaJFdUaLSoXgqHrjFNWE0RSKwRiK0VTzRzV4ftPHyexoZQFjPvsTZY7KQJfSpChLGIsvep2E4Jbd4HSy+WL3fP684Fm0dhK4jQ+OYsY5T9M1IqX2mO6y4dr0Ga7Nn6OXHfbtgqZgjD3PwjjoatTwjtmVXAghhBBCCCGEEKItGQNdgBDCMwXFpT6fs6ggj59mfsvIUyYy5exzsViD2L19KzM+/4htm9Zzx0OP1Qk6fPjmqyxfNJ9zL7mS9K7d2LpxHZ+88x9s1dWcecHFzT+GksB0+xJCCCGE6Kh0Xce97RscS/4PHBUtujbcXUjv8oVsCZ/kn+J8TFEUxgzq67PuaklJSUybNo1p06YBNd1cd+7cWSeAu3HjRlwul3f1hkYS++B7mDq3XTCrMaVOjUsWHOKDcZ0YGd90+O/g0bx2G7QFqKyysXzjNsYPHRDoUvzmqTF/ZumRzZS28Gu6tVRUpodOYqC1Z5uue5zL7Wb5hm3kjxzH2FWrUN1Nd+cGuBj4EHgFOHGT+7eBkcBvf8KcDRzvx3cWsKWReXOAG4E/Aq+ecHxCsxX9qn92qV/DtqFKMH3MXf02v78kp1bSaeXZ5HZ6KdCltMig+B5tGrR17f+53QVtARR7OYbcbZC7rfaYrpqwXvwhSnSXX75Hq7/bTqieSAqJ5bFRf+SWhf8X6FKa9MTom373QVuAC7tNxGww8ad5/8apefea0Fc6hyXw+ZmPkxFRN/SqGK2YBl2FceAVaAeX49r8Ge79i6np8+4dJSYTY9/pGHuciWIOaWXlQgghhBBCCCGEEL8fErYVogPQdd0vQdXY+ESeevUdLFZr7bGsvv2xWCx8/sF/2bNjG92yegOQcyibJfPncN6lV3H6tAsA6NmnH5XlZcz88lPGTTmD0LCwJterqrZRbbMTZJVuJ0IIIYQQzdErC7D/9HCLutn+Vq+Knzkc1IsSU5IPK/OPAT0ziYkMb36gl1RVJSsri6ysLK6++moAqqur2bBhQ234dtWqVezdu7fZuRRrCDF//0+7CNoeV+3WuWZRDp9NTKV/tLXBMXaHk6XrNrdxZS239+ARuqQkkZacEOhS/CIxJIbHRv+Rvyx4ts3WNGLgsrDT6WXJaLM1G7Nn1FgcJhMTn30CQzNh90upCdt+TE0wFqAU+BJ4EXj+N+M93fj6LaAS+LuH4xvS91AZ3w7x33PrUGsvjB2oM/mJ/npuMB+burEhf3egS/GIQVF5cvRNbbae7qjEMf9fbbZeaymaE+e8R7Bc9IFsL++hi7ufyk8H1/DtvkWBLqVBF2ZO4PzM8YEuo904J2Ms4eYQbp7/NPnVJQGpYWhCFm9Pvo+kkNhGxyiKiiFtNIa00WjlR9Fy1qLlba/5k78dXLZGLlRRojNQ47JQ47NQE/uhxveS0LwQQgghhBBCCCGEFyRsK0QHUF5ZjcPp9Pm8J4ZsT9SlW01ooKgwv/bY+lXL0XWd0RNOrTN29ITJLPppNls3rGX42PHNrllQXEpqUrz3RQshhBBC/A5opTnYv/lTq7eKNeBmRPGXzI67Cb0dh7aiI8IZ0LPtOzgGBQUxcuRIRo4cWXusoKCA1atX1wngFhYW1rku6pZnMWf2a+tym1Xh0rji58P8dHo6CUH1f9xfuWkbVTZ7ACpruaXrt5AYG4XFbA50KX5xUbdJzNi7mDkHV/l9LRWFS8NOaxdB2+MODh3Bwtv/xoT/exJVa3zr7nDgQuC//Bq2/ZiaUO3F1A/bemoREA3sAKZR0wE3Gjgf+Dd1u+g2Wlu1/zogqigMt/bx2/x+Z6rmmZG3csb3f8UR4E6RnvhL/+kedbXVdR1Ns6NrbkADFEBBUY2oqtnj4Jprx/dQVdCqmtualrcN7dAqDJ1HBLqUDkFRFF6ZeCeljnIWHl4f6HLqmJQ6hBfG/1WClr8xvtMgllz0BvcufY2v9ixss3WtBjP3Dr2KP/Y9F4Pq+Wt1NSwJtedZ0PMsAHTNjV56CN1eDm47aBoYLShGK0pkZxRTkL8eghBCCCGEEEIIIcTvioRthegASitavr2oprlxN7Atp+7BFmPbN28EILlTWu2xIwezCQuPICKq7hZzndK6AJBzMNujukrKKyRsK4QQQgjRBK0kG/tXN6BX5jc/2ANRrqP0LZ/HpvApPpnP1wyqyilD+qGq7aNbXmxsLFOnTmXq1KlATbhq3759rFq1ipUrVzKvwkLRoPGBLbIJRXY396w5xn/HJNcJ0uQcK2B3dk4AK2uZapudVZt3MHZw+ws1+4KiKDx7yq1M/uo2cqsKm7+gFc4LnUBvS9uH2ZtzYMRolt74Z8a+/lKT464FJgBbgd7UBG+nA03vq9K0HKDql3nupSa0uxp4mJrg7WJqYpRNsTobDwm3VldTKpGG1jzCwNJ1HaVM4e4hV/DYqncDXU6TekR15u4hlzV4zu224XKU43ZW4HJV4HZWoOv1f88CoCgGDKZQjKZQDMZQTOZwVEP9XX10Xce1+TOfPoa24tr8uYRtW8BiMPPOlAe58sd/sOTIxkCXA8C4lIH8d/L9mA2mQJfSLkVbw3lj0t85J2MMdy9+hfzqYr+uNzQhixfH30FmZKdWz6WoBpSo9NYXJYQQQgghhBBCCCGaJGFbIToAl6vhN3Oa8vh9dzZ6Liau8bDroQP7mf3tlwwcNpLU9C61xyvKywkJrf9mn8VqxWg0UlFR5lFdLrf/3pAUQgghhOjotIpjNR1tfRS0Pa5Xxc9UGiLZGzLMp/O2lqIoTBo5iJhIT/pIBoaiKHTt2pWuXbtyyjkX8uOPB8CPITtfmJNTwVfZZVyQHlF7bPPufQGsyDt7snMY0rsHQdb6gbWTQWJIDF+c9RjnzPgbRTbPfp5qqT7mrgy19vbL3L6w69TT6bR+LV1WLmt0zDigKzUh22uoCcU+28p1NcBGTbj2nl+OjQfMwO3APODUhi48gao1fyOrt9JMSV5fu3TBXN555XkeePJ50jO71Tv/4uOPkHMom6dee6f2mN1m44dvPmf10kUU5udhsQbRKS2dq/50CwlJKV7VcaywhL+MuJBZ+5exPn+X14/HnwyKyovj78Bi+LWDtq7rOO1F2KuO4nSUeDyXrrtxOUpxOUprj5ksUViCkzCZo2pvftCOrEUv6njPxwDu/QvRKo6hhiYEupQOI9QUxMdTH+WGn57gx+wVAa3lzC6jeWPS3+p8vouGndllNKOS+vHOtu95b9ssjlT6thP10IQs8X6U5QABAABJREFU/tDrLM7PHNeibrZCCCGEEEIIIYQQIvAkbCtEB+BuYlvNxlx3y50kpaTWO/7pu29SVNhweKMg7xgvPfkPomJjufqm2+oPaKK1j9Js358aDXXbFUIIIYQQoLvs2Gf8Bb081+dzK8CQ0hm4FRMHggf6fH5vKIrChGEDSE3sGLse6LrO31bnUt7Og7bHPbQujzEJISQEGSmrqCTnWMfashxA03V2HThE/56ZgS7Fb3pEpfHZGY9x0az7fR64DVGsnBs63qdz+sOyG24madsWrOUNP34F+APwIjUB2e7A2FauGQPsBk77zfGp1IRt19F82NZu8q4bt+twOdXzDuDcVYRWageDgiE+BMuQRKxjOqGGmEk2xPLTzBksnD2TgrxcQkLDGDBsJOdfdlWDN8G2hq26mmceuZeS4iKmnnshndK6UF1VyZ6d23HY7V7PW1hSilE18N5pD3LWt3dxsPyYD6v2jRfG/5VB8T0A0DUXtqqj2Kty0TTvH/eJnPZinPZiVIMFS1AS1uAkXJs+98ncAaFruLZ8iXnEzYGupEOxGs28M+UBXtn4Jf9e8wEOzdWm61sMJu4ZchU39TtPgp0tEGUN445Bl3LrgIuYe3AV/936HQsPr/d6vmCjhQsyJ3BN7zPpF3vyvq4RQgghhBBCCCGEONlJ2FaIDuDE7V89lZSS2mAXm6DgYGhgl9LC/DyeeeReVFXlzocfJzSs7ht4oWFhHDpQv/uK3WbD5XJ5/Iafqrb8sQghhBBC/B44V76OXrjHb/Or6Iwo+RKTbmd3SGC3gTaoKhNHDKJzUscI2gLMOFTOwtyqQJfhsRKHxqPr83hlVDLb9x0MdDle277/IH17dEX14meijqJ/XCYzzvk3F35/P7lVDfyw5qVzQscTqgb7bD5/sUVGsez6PzHxuX83OuYa4CHgdeAxH6zZD2iox+TxXrWexGirzS0PrdkWH6Li420YEkMImtwFQ1IIuHVcB0uxLT6Ea18J4TcNYu3Hs1k0axannX0eWf0GcvTwQb799H8c2LOLex9/FqPRd7/O++aTDziac4hHnn2ZuIRfO+oOGNq67xOV1TaqbXaSQmL5/MzHOWfG3RyrKmptuT7z2Kg/cXH3mki1015MZeken4Vsf0tz26muOIC9PBvzvvl+WaOtuHf9CBK2bTGjauC2gRdxWtpwbln4LBvyd7fJukPie/Li+DvoFlX/ZnzhGaNqYGr6SKamjySnIp+1eTvYmL+HTQW72Zi/h2J7eYPXpYUl0i8uk/6x3RgQ141B8d0JM4e0cfVCCCGEEEIIIYQQwtckbCtEB2BQveuY46nC/Dyefviemm5djz5FdExsvTEpndNZtXQRpcVFRERF1x4/fPDAL+fTPFrLYJAuGkIIIYQQv+XO3YRr/ft+X0dBZ3Dpd4S5CtgYfhpuxeT3NX8rPDSYcUMHEB8d2eZrt8ZbO4sDXUKLfXOgBP27Nxg8eBh00LBqZZWNQ0fzSEs+ubct7xGVxtzzX+TuxS/5ZKvx3uYM+lvq33zZXu0fPY4DSxaRvrrhx54C3A3sAK72wXoXAP8BfgBO7PU965f/ehIz3ZXYstCUc18xFR9vw5QVQ/ifBqGc0BnX3CuWoFO74NhaQFCpyuJZs5hw2plceOW1APTuP5CwiAjefP5pli34iVMmn96itRtjt9tYPG82g0eOqRO09ZWCklJSE+PJiEjmu3Oe5sKZ9wW8w62CwtNj/8LVvc5A11xUle/HXt02NelF+8AHXU0351Tz6s/5LN5dwdEyJwApkSbGdQvjD6NiGNS5JmR/+ou7WbynstF59v6rN4nhLXsdoJceQreVolgjvH8Av2M9o9P44dzneGXjl/zfuo+pctn8sk6IKYi7Bl0m3Wx9LCU0jpTQOM7JqOmvrus6BbZSql12bC47BkXFYjATbg4h3CLBWiGEEEIIIYQQQoiTkYRthegArBaz3+Y+HrTVNI27//EEMXENdxcbMGwE33zyAcsWzmPqedNrjy9b8BNms4XeAwZ7tJ7F1PaBDiGEEEKI9kx32XH89AjoWpuspwA9KpeTbNvFisjzKbCkt8m6AH26dWFwr+4YjR0r+LG5yMa6Qv8EYvxKNbC2wsDgDhq0PW5/ztGTPmwLkBgSzfunPcQXuxdw37LXKLFXeD3XxOChPqysbWy48FLSVq+gsc/WJz2YY9svfwBygSrgi1/+3euXPwBTgLOBRwGNmnDtGuAfwFnAGA/W2pjWsrBh1Q81O8WEXt67TtD2OMWoYukfj3WjA03T6DdoSJ3z/QcPA2DtyqUehW01zY3b7a53XK/t3wvZe/dgt9lISEzmg/+8wuqlP2O32+nUOZ1pF19Ov1/W9FZJWQWpiTW/Y+gSkcz3057h2jmPsSZvR6vm9VaYOZjnTrmdaV3H4nKUU1Gyw2/dbBuiFh9q9RxvLy3gjs8P0y3Bys3j48hKtKIosDPXxufrShj7zC42P5hFRpyF56anUm6r+zlQ5dQ497V9DEwNanHQ9jgtbzuGzoHtkN+RHe9y+4deZ/LZ7nm8s/V7dpW0/nMDoGdUGtf2Povp3SYSam7/nc07OkVRiAuKDHQZQgghhBBCCCGEEKINSdhWiA4gOiLML/OWlZbwzCP3UlJcxDU33UZZaSllpaW156NiYmu73KakpjFm4hS+/exDVFUlPbM7WzeuY9FPP3LuJVcSGuZZjTGR4X55LEIIIYQQHZVr7bvoxfvbfN0wdyGTCt9iV8hINoVNxq367waviNAQxg7uS0JsdPOD26H395QEugSvZQwZBTi8unbpgrm888rzPPDk86Rn1u+S+uLjj5BzKJunXnun3jmH3c4/7voLx44eYfqV13LatAu8qgGgsLjM62s7GkVRmN59ImNTBnDPkleYeWBZi+dINSaQYmz4Jsr2rLBrJgWZ3Ynbs8vrOT6jJjB7ouO3ij4MPHLC8U9/GfufX/6bDPz1l3HNcRgUtid7/nO6ruk4dxZhTAvHEB3U5FjDL9lI429uVDUYjCiKwuHsAx6t+fh9dzZ67vhNtiVFhQD8+O0XpHRO59pb7kRVFOZ89zUvPfkot93/D/p4eGNtQ1y/CfsmhcTy/bRneG3T1zy55n3sbqfXc7fUxNQhPHfKrSSHxuG0F1Nesr3NbnI5Tmll2Hb5vgpu/+wwp/cO58Nr0zEbfw1tj+8exh9PieOr9SUEmWuOZyVZ683xv5VFON0614yM8boOLV/Ctr4Qbgnh+j7ncF3vs1l2dDMfbP+BlbnbOFyR16J5UkPjGZ7YmyuzpjIyqQ9KB7/BRgghhBBCCCGEEEKI9kzCtkJ0AGaTifDQYMoqqnw675FDB8k/lgvAWy8+U+/82dMvY9rFl9f++/IbbiYyOoZ5P3xHWUkxMfEJXPKHG5l0xjkeracoClF+Cg4LIYQQQnREutuBc/OnAVtfRadn5TLSqjeyL3gIe4KHUWWM9Nn8ibHRZGV0Ji0lEYNav5NjR1DqcPNVdscNe6YEG/E2bNsa33zyAXa7bzpGlpRX4HS5MBl/P7/CSAyJ5t3THmR38SHe2TaTT3bNpdzh2c+DI6x9/Vyd/2w/7Uzi9uziGuAaD8Zv+c2/H6FuoLYpQdR0y/WkY+5vbU8Jw9FAd9rG6BUOcLhRY5oO2gKEJdfc8Lpnx3Z69ulfe3zPzu3ouk5luWfPR9fdcidJKan1jn/67psUFebX1KXXdLk1GI3cfv8/sAbVdMLs0acf999yI99/8YlPw7YABtXAXwZcyJS0Ydy68P9Ym7fT6/k9EWYO5p8jb+SyHlNQFAWHvZiK4m1wQofftqIWH2zV9U/PycOgKrx4cWqdoO2Jzh8Y2eQc768oJNSicsGgpsc1Rcvb1vwg4TFFURid3I/Ryf0AKKguYWP+HjYW7GZ70QEqnTZsLjuKomAxmAk1BZEVnU7/uG70j80kJqhlXbaFEEIIIYQQQgghhBDe+/28UyVEBxcbGeFR2Hb0hMmMnjC50fO33vdI7d979unHW1/M9LgGo9HItIsvrxPAbYmo8DCMho61ZbAQQgghhD+598yD6uJAl0GQVknvip/JqljMEUt3docM55ilK7rS8tduZpORrqnJ9MxI89sODW1p8bEqbO62D2X5SorSdlukH7dv907m//Ad1992N68/+4RP5iwsKSOxg3ZGbo1uUak8PvpP3D/sGr7as4Avdi9gY8EeKp3VDY4PVqz0s9TvQtxR7Bt9CsPefxurh4HSQFnbJdJvc4d2jqV7rz7MnvElickp9Oo/kCOHDvK//7yMqqooHt64kJSS2mBH6qDgYKhpaEvILzvUZHbPqg3aAlgsVrr36sOGVSta9VgUGu+w2T2qMzOnPctnu+fz9pbv2Fiwu1Vr/VaUJYzLe57GjX2nkRRSE2B2OkqpKN5OIIK2AEpFgdfXujWdRbvLGZQaRFKEqfkLGrAnz87SvZVcMzKaUIv3v5vRy3K8vlY0LzYokkmdhzCp85BAlyKEEEIIIYQQQgghhPgNCdsK0UHERkWw7/DRQJfRKrFR4YEuQQghhBCiXXFt/izQJdShotHJvoNO9h24MVJiSqTIlEyRKYUiczJ2NQS3YkJDxaAqGIMjCA8JJiYygtioCGIjIwgPDT6ptjDeVGRrdsyRS3t6NFfMg+9h6TWcilnv4dixBueBbbjzczBnDSX2oQ8avMZdWkjZR09jX7cQ3WHDmNaD8Itux9JnZLPrheAiXKnfWdKfXE4n7776AhNOP4v0rr4LfRYUl/4uw7bHhZisXJk1lSuzpqLpGntLcthYsJuN+Xs4UHYUm9uOzeWkq94Jk7vj/qrHbTazf+QYsubMCnQpTfpoVEqLxiuhZjAb0AobDkmfyIWLP915L/99+Tle/7+avrtGo5FTzzqX7Zs2UFVV6VXNDemU1qXxk7qOorbuudzQzM22BtXApT0mc2mPyazP28l/t87km70/Y3N73417cHwP/tD7LM7JGEuQ0VJ7XHM7fgnaal7P3Wqay+tLCypcVDt1UqPN9c65NR39hPywQaXB78PvrahJWV89IsbrOgB0V9vfxCGEEEIIIYQQQgghhBDtQcd9B0aI35nk+NhAl9BqJ8NjEEIIIYTwFa1gF9rRDYEuo1EGXMQ4DxPjPNzoGOvlX6BGd23DqtqeJ2Hb2Ec/qfPv8q9ew7FtJTEPvFvnuDElE4CqeZ+gWIKw9B6Bbd2CRufVnQ4KH7sGrbKc8KvvRw2PpmruRxQ+eQMx9/0XS69hTdYVoXgf7DqRprlxN7AdvN5Ad8jvvvgYh93GuZdcSXlZqU/WB1i5eg2b16zAarUSFBREUFBQk39vLuTXkamKSreoVLpFpXJht4l1zi1as5Hd2d51nVy6YC7vvPI8Dzz5fIMdUV98/BFyDmXz1GvvAPDvh+5h17bN9cb1HjCIvz7wT69qAMjP7N6uw7br0iLYmNaybdsVVcHcMxrHlgLcxTYMUdZGx9o0B+GRkdx+/z8oKy2htLiYmLh4zGYzC2fPZPCIMa19CLUio6Lp2r0ne3Zup7qqqqbrLWC329i5bQsZ3Xq0an6zyfNfOw6M78FL8T3456gbWJW7jY35e2oD5blVhQ1eE2S00Ccmg36xmfSP68bg+B50j+pcb5yu61SW7UHXffOc6BXNjaL7J+g7+umdbM759XvVY9OSuX1SfJ0xLrfOh6uKyEqyMqxLSOsWdHkfhhZCCCGEEEIIIYQQQoiOTMK2QnQQMZHhxEdHkldUEuhSvGK1mElPTgh0GUIIIYQQ7YZ738JAl9Bq7n0LT+qwra7rbC5uPmxr7jagzr/V8ChQ1HrHj4t7embtVvB5d5/d6LxVC77AdWg3sf/4GHP3gQBYeg8n/+/nUvbRM8T9q+nOyCYfbZX++H13NnouJu7XQNfB/Xv58dsvueWeh7BYrT4N2y5YsJAP33rV4/Emk6nBIG5zIV1PxjV2zmQyBbyrc0Gx7/6feyIuIZHrb7u7zrHgkNYF+Qq6Zrbqen97Z1yqV9cFnZ6BY0sBFf/bQvhNg1CMap3zulvDsbWAo/1/7VwaHhFJeEQkAD/NnIHdbmfi1LO8rr0h06+6jmceuZfn/vUgU8+9EIA5331NRXkZ515yZavmjo5o+e42kZYwpqQNZ0ra8Npj+dUllNorqHbZ0XQNi8FMkNFCSmgcRrX5YL3Dlo/TXtTiWnxKUdFRULx8Xo4NNRJkUjhUVD/o+s5V6VQ7NXJLnUx/c3+D18/eVsaxMhd3/CaE6xWDqfVzCCGEEEIIIYQQQgghRAckYVshOpCsrmkdNmzbIz31pO4uJYQQQgjRUlrethaN35xTzas/57N4dwVHy5wApESaGNctjD+MimFQ55qOhDnFDp6fn8emw9VsPlJNabXG65encuXwuttGl1W7eX1RPvN3lrPzmJ1Ku0ZajJlLhkTx5/FxWE1qvRrqP4btLXoMHc2hSiclDt93IjwetG1O9eqfMCZ3qQ3aAigGI0Fjzqb80+dwFx3DEN34DW0GH4Vtr7vlTpJS6gcMP333TYoK8wFwu928++oLDB01lj4DBvtk3RMZTS0LdzmdTpxOJ2VlZT6vpTGqqrY6sNvS0K/FYkH95fPJ5XJTUlbRZo8XwGS20LV7T5/OWdKpMy6zGaOj/XXPLA428c2QJK+uNWVEEXppLyo+3kbJ48uwntIZY3IoulvDdagc2+JDGJNDsfWLZ9acrwhVgolLTKKqsoIt69eyZP4czrvsKtIyfBtGzuzZizsffpyvP/6AN194GoCMbj25+5En6Nojq1Vzx0S2PGzbkLigSOKCIr26VnM7qCrb55M6WkVRwGAEt9Oryw2qwrjuYczbUc7RUidJEb8+J2Yl1XRKzi60N3r9e8sLMRsULh0W7dX6dYsxNz9GCCGEEEIIIYQQQgghTkISthWiA0lPSWTlxu3Y2uGbjk1RgB5d6m/lKIQQQgjxe9aSsO3bSwu44/PDdEuwcvP4OLISrSgK7My18fm6EsY+s4vND2aREWdhb4Gdz9YU07dTEFN6hfP52pIG5zxU7OCVhflcMjSaWybEE2JRWba3ksd/zGX+znK+/3PXZrt0tjQw3NEcqw7gluOA6/BuzD3qB1dNnWu2dnce3t1k2NaNb7qsJqWkkp7Zrd7xoOBg+GV395++/4b8Y7n88Y57qKqsCXxWV1XV1Ol0UlVZgdUahOrlDXgup3cBtbakaRpVVVVU/fK424rFYiEoKIhuWb354533tena/qAbDBSldSF+985Al1LPi6d1wWb2/iZS69hUjF0iqP7pANVz9qGV2cGgYogPwTIsiaDxaQAUu8tYPnsOhfl5KIpK5y4Z3Hz3/QwcNrLZNUZPmMzoCZMbPX/rfY/UO9Ytqzd/e/RJrx9XQyLCQjCbAv9rx+qKbHQ9sM/ltSxhUOV9h927JsczZ1sZt316iA+v64LJ4NlzfG6Zk9nbypjWP5KYkNZ/TJRgHwR2hRBCCCGEEEIIIYQQogMK/G+9hRAeMxoM9OiSysadewNdSoukJiUQFhIU6DKEEEIIIdoNvbIAvTLfo7HL91Vw+2eHOb13OB9em475hK3Hx3cP44+nxPHV+hKCzDXHx3QNJfuJvgCsO1jVaNg2PcbMtkd6EWL5NTg2vnsYwWaV+789wvJ9lYzqGtr04yg/il5dguJlx8H2zub2TWdYb2nlJaihEfWOHz+mlZc0eb3LR2FbT+Qcyqa6qpL7b7mh3rlvPvmAbz75gIeefpHOXbp6Nb/T2bFuOGxLdrsdu92OyWz1yXya5sbtdtc7rjfQKTn/2FFuveZibFVVxMTFM3T0KZx1wSWYLZZW1VCanNLuwrbb4iN57dT0Vs9j7BRO2DX9mhwTdUom/5x6TavXCqTocN90tW0NTXNir/bse21b0KI6YWhF2HZkRijPTe/EnV8cZtS/d3LtqBiykqyoCuSWufh2QwkA4da63dM/XFmES4OrR8Y0MGvLqXG+7WYthBBCCCGEEEIIIYQQHYWEbYXoYPr1yGDPwRwqq22BLsUjBoPK8H7yRowQQgghxIm0/O0ej316Th4GVeHFi1PrBG1PdP7AyNq/q6pnAcsTQ7YnGpIWDMDhEs86iWr52zF0br7bYkfk1AIbtgVqth5v9FTTH+syve1+5J963nRGjT+17volxfzn+X8zbsoZDB01lvjEZK/nLykqbG2JJz2TxTdbuz9+352NnouJi6/9e7esXgwdPZaklE44HA62rF/D7G+/ZM+Obdz1yBOoasPPV55wm9vZNvUWCzEzv8e99l9tstxeZ06brONPjzwQwRlLdhMbW0B6up2+fU2MHBnFqaemkpwc1iY12KvzAK1N1vKEFtUZQ86mVs1x/ZhYhnUJ4dWF+by8MJ+jpU4UBVIiTQzvEsLMv3RlfPe6/38/WFlEWrSZiT2avoHGU2p8lk/mEUIIIYQQQgghhBBCiI5GwrZCdDBmk4kxg/oye+nqQJfikSG9exAeGhLoMoQQQggh2hVPu9q6NZ1Fu8sZlBpEUoTJz1XV+HlXOQBZiZ51yfT0sXREZg+36PYXNSyywe61WkUpAEoDXW9PVI6Bct1AmFK/S6mvJaWkkpSSWudYQd4xAOITEunZp+lOns156P57+ecD91BdXY3NZqO6urre35s658k4XW8H4epWMJl8E1C97pY7630sAT59902KCn/9ej/v0qvqnO83aCgxcQl8/v7bbFi9gkHDR3ldg8vcus64PvfooyQMGc3gQz1Ym+f/jrs5rjwOu/LoZIxvfnA7VFVpZNXSztjtRnJyupGTA0uXwuuv15xX1aNERBylU6dyevSAoUPDmDAhicGDEz2+YaQ5uq5jrzrqk7l8RY/q7JN5+qUE8frlns+14QHfhmPV+N4+nU8IIYQQQgghhBBCCCE6CgnbCtEBdUqMo3t6J3YdOBzoUpqUEBtF78z0QJchhBBCCNHu6C67R+MKKlxUO3VSo+uH6NyazonZQIPafKfT5mzOqea5eXmc0y+CvilBHl3j6WPpiCwG7ztz+oIptRuuQ7vqHXf+cszUqVszMygc1S2EKVV+qK5tDR00ALPJf4FzXddxOBytDuy2NPTrcrl89hjcbt+EqpNSUknPrP+5FRQcDM00GB5xygQ+f/9t9u3a0aqwrer23f+XVjvtNLjjDgD+0PusNgnbAqyo3sSFYac2P7Ad2rTGAPp+oDNQPzitaUkUFydRXAybN8MXXxw/U0FQ0CHi44vo2tVJ//4WRo+OYdKkzkRGenYDyHEuRymau33tCKRF1Q+xdzjWCJSwpEBXIYQQQgghhBBCCCGEEAEhYVshOqjh/bLIOVZAZXX7evPoOKPBwCmD+7U68CGEEEKIjkd3O9GL9qLlbUPL217zpywH3HZwOUA1gtGCEhyDGtcTNT6r5k9cTxSzb7Y4bvfczlZPMfrpnWzO+fW14GPTkrl9kvddELML7Vz4n310ijLzyqUtCARprX8s7VVqSNt0E26MdehkSv/7Dxx7NmLO7A+A7nZRveQ7TJn9MUQnNDvHEd1Cd7wL246eMJnREyY3ev7W+x5p8vrY+ATe+mKmV2ufKDw02K9BW6gJqlssFiyWtu2o6nK5agO4re3SG53YqU1rb4qiti6obnC0k+eV0aPhyy/BWPPrs2kZp/DQ8jcpspX5femN9t2cGTKGILVlIdP24Ol/DefNF0Ox2VwsXZrNzz8fY926KnbvNnD0aAQVFcnoemwDV4ZSXZ1FdjZkZ8P8+fDccwAaRmM2UVF5dO5cSa9eKkOHRjBxYjJZWbENdsN12ov9/TBbzhKKFp2GWpQd6Eq8ZkgbI7/nEUIIIYQQQgghhBBC/G5J2FaIDspsMjF51BBmLVqBw9mOuv5Q80b1hOEDCA8NCXQpQgghhGgjuq6jHduMa9NnuPfOA1cTNwS53eC2o9vLcBfvx73rh19OKKgpgzH2vQhDxngUQ2CDjn5l8Gy799hQI0EmhUNFjnrn3rkqnWqnRm6pk+lv7m9VOQeLHEx9aS9GVWHmn7sSHdKCHxU9fCwdUWKQkXirgTybbzqGHufYuxl3QQ4AenUFmq5TvfJHAEwZfTHGpQAQPP4CKud8RPHztxN26R0YwmOonPsxrqP7ibnvvx6tlaO3bXjUH2IjIwJdgt8YjUZCQ0MJDW39jQYHcnKZt2KdD6ry3rKF8wDI6NajVfNYy/0fZm3W6NEwcyaE/PpzrdVo5vIeU3hp4xdNXOgbTlyssW9nbNBAv6/lS0lxMUSG13w+W61GJk1KY9KktHrjdu4sZP78HFauLGXrVjcHDwZTXByP05kKGH4zWsXlSiM/P438fFi7Fj74oOaMohQTEnKYpKQSMjPdDBwYxCmnxDN8cLlH9V565d9YsWozS+a/S0pK3RsYiovLGD3+StLSkpn5zSs88e+32bJ1N5u27CY3t4BLLjqdV164v8F5Z3y/kNf+8ym7dmejaTpdM1K54drzuXToWMwdOGxr7HdRoEsQQgghhBBCCCGEEEKIgJGwrRAdWExkOFNGDeHHJatx+WjLUF8YN6QfnZOa77IlhBBCiI5Pd1bj3vUDzs2fo+fvaO1saDlrcOSsQQmJxdDrfIx9LkAN9b5ba3ulGD0LQBpUhXHdw5i3o5yjpU6SIn4NIGcl1XQ7zC60t6qWg0UOTn9xDzo6P97SjZSoloVnlZM4bAvQJ6ia+TbfPsbKOR9SveibOseKn78dgMg/PY5x3PkAKCYzMfe/Q9lHT1P67r/Q7TZM6T2J+ft/sPQa5tFa+/Ug7LqCRdF9+RDaVFpKYqBL6BBiIsPbbK1d27Yw86tPGTRsFLEJiTidDrasX8OiuT/Ss09/+g8Z3qr5Y7JbdwNBq51+ek1H2+Dgeqf+0Pss3twyA5u7/k0Qvragag0DLT0IVevX0R4pisKwfj09GtujRww9esRw0011j5eV2VmwYD9LluSzcaOdvXuNHDsWRWVlKlD/c1zXo6ioiGL3bti9G374AR5/XGffjhVEeJDTf/7ZvzNm/NXcdudTfPHJ/9U59/f7n6OioppXXrgfVVV5/T+f0atXV06fMpqPPpnV6JwffjyTW+94krPPHMedt12Noih88vkP3HzrYxQ9fBO3JwWjOLzrOB5ISlxP1IS+gS5DCCGEEEIIIYQQQgghAkbCtkJ0cAmx0Zw+dhhzlq4OeIdbVVEYN2wAGZ2SAlqHEEIIIdqG+8ASHAv+hV5xzOdz65UFuFb/B9e6dzENvwnjwCtR1N92uuu4lDDPXy/dNTmeOdvKuO3TQ3x4XRdMBt9t33zol6CtW9f58ZZMOke3PFS6dMMeesXmExcX57O62gPdWY1j8TP0OqwyP+TCFl0bddOTcNOTTZ6PauL8iQyRsUTd/FSL1j+RA5VsUyTdXe1wS3UPBFktpCfLjXyeCA0OwmI2YXc4/b5WRFQ0qqry/RcfU15ehqIoxCcmM+3iK5hyzvmoqur13FazmZDvv4M//AG2bvVh1Z4sboV//Qtuvx0MDX/PSQ1L4P5h1/Dg8v/4vZwq3cY3FQu5IvwMv6/lCwN6dm11J+rwcAvTpmUybVpmneOaprNhQy4LFhxl9eoytm+Hw4dDKS1NxO1OqTO2S7qNiAjPbkhOiI/h6Sfv4Lo/Psy773/LNVdNA+D7WYv48uufePrJO8jo0gmA7D2zaz+3P/9iTqNzfvjxTFI7JfLf/zxaO37ihGFs3rKHjz+fwy3/dy7GXfM8+x/Sjpj6TkdRfPcaRAghhBBCCCGEEEIIIToaCdsKcRJIiInizHEj+Gn5OsorA9Mdpby0FNVeRkanqQFZXwghhBBtR7eX41jyLO5t3/p/MbcD57IXcO+dj/nUf6BGd/H/mn6kaRqbN2/m5zk/cb3Vs2tGZoTy3PRO3PnFYUb9eyfXjoohK8mKqkBumYtvN5QAEG79Ndz29fqaY/t/6Xq7/mA1oeaaY+cNjAQgr9zJ1Jf2kFvm5NVLU8kvd5Ff/uvNWymRJo+63J5z7d2U2e4kKyuLsWPH1v5JS6u/bXhHodvLsX9/G9qR9fQ1Dwp0Oa1miE2E3I4Ztu3ZJbVVwc3fE0VRiI2MICevwKvrR0+YzOgJkxs9f+t9j9T+PSEpmdvu+4dX6zQnJiocZehQWLsWHn0UnnoK2mInl5Ej4Z13oEePZofe0Occvtu/hFW52/xe1hbHXjbad9Hf0t3va7VGdEQY/XtmNj/QS6qqMGhQIoMG1e90nZdXybx5h1i2rIhNmxxkZpgamKFx554zkZk/LOKhR19h4oRhhIYEc9ffn2H8KUO59urzTqjBs+cik8lISEhQnfGKohAWVtOh2N11DIbdC1B0rUV1BpQ1EkN3+X2PEEIIIYQQQgghhBDi903Rdb3j7iUphKjD5XKzZutOtu450Kbrrlm+hA/ffBWX08HGjRvp1q1bm64vhBBCiLbjPrQSx08P+6WbbbMMZkwj/lzT5bYDdVbLzc1l7ty5zJkzh7lz53LsWM3/u60PZ5EeY/F4nk051by6MJ/Feyo4WupEUWoCscO7hHD5sGjGdw+rHRty64ZG56l8cQAAi3aXM/WlvY2Ou+/0BO4/o+kOvLvzbAz4144Gz3Xu3LlO+DYrK6tDfNx0ezn2b/6IlrcdABsmxsS8RqkaGuDKvPfx+E6U79xMbkFRoEtpEUVRuHjqBEKCPEymC9Zs2cnGnY1/XXcE/Xt0ZUifEwKva9bAbbfBsmX+WTAuDu65p2aNRrrZNmRvyWHGf/FnbG6Hf+o6QbBi5a9RlxOmBvt9LW8oisI5E0e1uqutr9iqjlJV1rKvg+LiMkZPuIpumWnExkSy4OdVLJ7/HinJ8Q2O79x1CmefNY5XXri/3rnvZv7MtTc+xD13X8fVV5yNoih8/NkPPPrYG7z52sNMO3sCxq2zMG77wavHFwjm0x7HKGFbIYQQQgghhBBCCCHE75yEbYU4CR3NL2Lx2k1+73JbXlrKh2+9yprlS2qPjR07loULF0r3KSGEEOIk5Nr5A465D4LeBh0Gm2DscyGm8feiKO3z9UZ1dTVLlixhzpw5zJkzh02bNjU47n/XpnPegMi2Lc7HPl9bzDXvZXs0NjY2ljFjxtSGbwcOHIjR2L42W9Gd1di/vQnt6MY6x58MuYK3g88KUFWt0yXMxKIzunDoaB4/LV8b6HJaJCM1iQnDBga6jA7laH4hsxatDHQZrXLGKSNIiouud3xs6KdcWTmPy/mQEHzws+7o0XDzzXDBBWDx/MaHE7295TvuWfpq62vxQJoxiesipmFWWta1tS2MHdyX7umpgS6jlq0yh6ry/S2+7qd5K7j4irsBeO2lB7jowtMaHdtU2BZg1o+L+fNtj1NWVgFAkNXCc8/8jekXTKkZoLkw//QMamlOi+tsa4aMiZjPeKZD3DAjhBBCCCGEEEIIIYQQ/tS+3tkUQvhEUlw05506hu17D7JjXzblVdU+nd9qMWNVdf567U2Ul5XWObd48WJeeeUVbrnlFp+uKYQQQojAcm39Gsf8fwKBv1fPteULdGcV5lMfRVE970LoL7qus3XrVubMmcPs2bNZtGgRNput2evWHazq8GHbdQc9D7wVFBTwzTff8M033wAQEhLCqFGjasO3w4cPJygoyE+VNk/XdRxzHqgXtAW4tHpuhw3bXpUZiaoodE6KJz05gQNHAtCV2gsWs4nh/XoFuowOJzE2msiwUErKKwJdilfCnceI+OEa7PFZqPG9UOOyUOOzmPHjMZZUXswSLuYB003kPrMYdd48WLsWcjwLK1arVtZpg1jJcKqn9+P+z65pdb3X9TmbnMp8Xtrweavnak626yj/K5vFVeFnYVQC/73vOKPBgMFgQNf1dhPG1L18rXLqpBEMGdyb4uLSJoO2zZk3fyV/+ss/mXb2BM49eyIGo4Ef5yzhL7c/jsPp5PJLzgTViHPYFZh/ehpF17xey++sEZjH39tuPrZCCCGEEEIIIYQQQggRSNLZVoiTnK7rHD6Wz/a92RzKzW/VXAkxUWRldCY9JRGDwcAtt9zCyy+/XG9ccHAwmzdvJiMjo1XrCSGEEKJ9cO2ajWP2vbSHoO2JjL0vwDTh/oAEQPLy8vjpp59qu9cePXq0xXNkxJrZ/FDHDRNquk7vf2znYJFvtlA3mUwMHTq0Nnw7evRoIiMjfTK3J1w7ZuKY+0Cj56+NuIfF5gFtVo8vWA0Ka6d1JdJcE8yrttn5cu4i7A5ngCtr3vih/enaOSXQZXRI2/YcYPnGbYEuwyuDS2bQveo3nXkVAwv29ebZmTexYNdwzj9/EV9+Oe7X87m5NaHbDRugqAhsNnC7wWqFoCDo2RMGD+aF2TZuv2sIABkZS9i7d4xPatZ1nXuXvsbbW7/zyXzN6WbqzJXhZ7S7Dre9M9MZ3i+rXYQybZVHqCrf59W155x/C4VFpSxd+H6T4xrrbKvrOr0Hnke/Pt345H9P1zl3862P8f3Mn9m++VtCgmtuLjFs+wHT1lle1doWzKc9gbH76YEuQwghhBBCCCGEEEIIIdoF6WwrxElOURRSE+NJTYynoqqaYwVFFJSUUVBcSmFJGU6Xq8HrDKpKdGQ4sZHhxEZFEB8dRWR4aJ0xTzzxBDNnzmT//rrbM1ZVVXHdddcxb948VLV9bu8shBBCCM+4j274JYDYvoK2AK6tX6KEJ2Eacp3f17Lb7SxdurQ2XLt+/fpWz3mwRGNNroEhiW4fVNj2jF1O4cclH7N48WIWLVrE4sWLOXjwoNfzOZ1Oli1bxrJly3jqqadQFIW+fftyyimn1AZwk5KSfPgIfqVX5uNY9O8mx1xX9X2HC9telhFRG7SFmm3MRw3ozYJVGwJXlAfSkhPISE0OdBkdVmZaCqu37MTl7ljPLUbNTpfqDfVP6G4mdNnEhL/cxK5jqSRNOAfdPgjFElZzPjERzjyz5k8Trkt3cPtdFUAoBw50R9N0VLX1wVBFUXhi9E2Em0N4bv0nrZ6vObudB3m79FuuCD+DMDXY7+t5auueAzicTsYM7oca4MCtogTu9xB5+UUcO1bIoCun1Ts3cEBPPv38Rw4dyqVnjy4AuLNOQy3Px3BwdVuX2izT8JskaCuEEEIIIYQQQgghhBAnkLCtEL8jocFBhHZOqe0Qpes65ZXVOF2umjdidR2DwYDJaCAsJLjZoGxoaChvvfUWkyZNqndu4cKFvPHGG9x0000e1WZ3OHE4nbjdGjo6BlXFaDQSZDG3i844QgghxO+R7qzG8dPDoDV8c0574Fz5Oob0saix3X06r67r7Nixgzlz5jB79mx+/vlnqqqqWj1vt27dmDJlClOmTGHChAkE5a/FMfOvPqi47Zn6XkRWehZZWVnceOONABw8eLBO+Hb79u1ez6/rOps2bWLTpk21uyl07dq1Tvi2a9eurX6tqOs6jgX/AntZk+NGO7dwvm0hX1nHt2q9tpISbOTv/eLqHe/SKYkDR46x/3DLuzG3BavFzKiBfeRngFYwm0xkpqWwY5/34fdA6FK9HpNub3JM94RDsO0VbNmfYp7wIIYup3g8f2iomfj4DeTlDUPT4vnii51cdFGP1pYN1ARu7xt2NV0jU7hv6euUOSp9Mm9jsl1HeaH4I26JvIQIQ2jzF7SR3dk5KIrKmEGB/RpWjUEBWzsyIgyr1cyatVvrnVuzZiuqqpIQH/PrQUXFOfRycNsx5Gxqw0qbZhx4JcahNwS6DCGEEEIIIYQQQgghhGhXFF3X21+LKiFEh/KnP/2JN954o97x0NBQtmzZQlpaWp3jdoeTvKJiCorLKCwppaC4lMpqW4Nzm00mYqPCiY2MIDYqgrjoSEKDA/fGmRBCCPF74lj8DK4NHwa6jGYpcT2xTn8fxdC6LbULCgqYN29ebffaw4cPt7q2iIgITj31VKZMmcLkyZPp0qVLnfO65sb2/lno5bmtXqstKeGdsF71bbPdAwsKCliyZElt+Hb9+vW4fdhtMzExkbFjx9YGcPv06YPBYGj+whO49szD8cNdHo0tU4I5I+oZjhmivSm3TX08vhOnJIY0eM7ldjN7yWpyC4rauKqmmYxGzhg3nNjIiECX0uFV2+18NXcxNrsj0KV4xOKu4Mz8F7BoLbupwdDzLMxj70axhns0fvr0n/nii3EATJ26kFmzxre01GYdrSzgjkUv8pOfO5VeFDqZQdaefl3DW/16ZDC0T+Bq0zU3xXnLvbr2nPNvobColKUL3693bumy9RQWlQBw0y3/Ysig3lz3h/MAGDViALGxUQA8+MjLvPrGp1x04WmcN20iBtXArB8X8+4H33LFZWfywrP31F9Yc2Na/T8MB9d4VbcvGYf9EdOwP8pND0IIIYQQQgghhBBCCPEbErYVQrRaWVkZffv2bXDb4MmTJzN79mwACopL2b4vm32HjuLWNK/XS4mPJatrGqmJcc123xVCCCGEd9xHNmD/8lqgY/y4YBp+E6ZhN7boGofDwfLly2vDtWvXrqW1Px4ZDAZGjBhR2712yJAhGI1Nbyji3PARzsVPt2rdtmYadw+mfhe3+Lry8nJWrFhR2/125cqV2GwN33TljYiICEaPHl0bvh0yZAhms7nJa2xfXot2ZL3Hayw0D+CGiAaCUu3IFV0jeGpoYpNjHE4nPy5eRX5xaRtV1TST0cCU0UNJjG3/QeaOYn/OUeav8PxzO5DGFH1Iqm2bV9cqIbGYT/0nhs4jmh07e/Z+Tj+95qaHqKh1FBUN8mrN5ui6zie7fuLBZf+h1FHh8/kHWLpzSdhpPp/Xl6aOHU7yCR1cdc2FXnwArWg/OKvQ3XZQVBSDGSzhqLHdUcKSWhXw1DSdBQsO8tZb2dxxi0rXjJbP0VTY9pzzb2Hp8g0NXvftly8yZtTAX+rQ+PDjmbz7wQz2HziMpul0SUvm8svO4uorzsFkauR1ga5h3DoLw/Y5KIF4/WW0Yh57F8Y+F7T92kIIIYQQQgghhBBCCNEBSNhWCOETc+bM4bTT6r/ZZzAYeP2/7xGXkkZBSdNb87ZUSJCVnhmdycpIw2JuXSc7IYQQQvxK1zVsH16IXrw/0KV4TjVivfxL1MjOjQ7RdZ3du3czZ84cZs+ezYIFC6isbP1W3126dOG0005jypQpTJw4kYiIlnXl1DU39i/+gHZsc6traQtq0gAs57+Forasg2xD7HY7a9eurQ3fLl26lNJS34U/rVYrw4cPr+1+O3LkSEJDf91yXSvYje3ji1o874Oh1/FJ0GSf1elLXcJM/DglnVBT8zelOZwuflq+lqP5hW1QWeMsZhOnjR5KXHRkQOs4Gc1fuZ79h48GuowmpVVtZFTJZ62bRDVinvwvjN2bDqBqmo7FchiXKxWwc+yYi/j4hjtA+0K5o5LPds3nnW3fs7O4/s2p3ghXQrg75ipMNH0jR6BFWA2c3cWJkr8FLW87WsEucDVzc4U1EjU+CzUuC0Onoaipw5rtoL59ewGvvbaL2bPd7N3bBbe7EwCvvbSTiy7M99XDaVNKUTam1f9DLWu7rvdqymDMkx5GjUhtszWFEEIIIYQQQgghhBCio5GwrRDCZ66//nrefvvt2n+ndE7j2j/fQVrXTL+uG2S1MGZgHzonJ/h1HSGEEOL3wn1gCfbvbgl0GS1mHHA55rF31TlWXFzMvHnzarvXZmdnt3qdsLAwJk2aVNu9tmvXrq2eUyvah+2TS8Hdzrd8N1iwXvopalSaX6Z3u91s2bKlNny7ePFicnN9FzYyGAwMHDiQsWPHMnbsWCZa12Ha832L53Ghckv4X/nJMtRntflCUpCRb07tTKcQz29Ec7ndrNq0g+37Wv+14Y3YqAjGDe1PZFho84NFi9nsDr6cuwibvX0+t1jd5ZyR/yIWrcoHsymYT30EY9Y5TY7q1WsR27efAsA//rGahx7y/9exrussO7qZd7bO5KdDq6l0Vrd4juSQWC7oOp7+zp4U5LePjtQNCXMVkFm5ioyqtZj11nUuVyJSMfa5EGOvaSjWmhtZCgqqePPN7Xz1VTlbtyZSXd2zwWuvu+YI/35iX6vWDyi3E+velbDpc9C93xmoWUYrplG3Yex3UbPBZiGEEEIIIYQQQgghhPi9k7CtEMJnSktL6dOnD0ePHuX0aRdy9vRLMZraruNs187JjOzfC0szWwULIYQQomm2725DO7Ao0GW0nCUM4xUzWbVuY224dvXq1Wha60IqqqoybNiw2nDtsGHDMPnhNY5z7bs4l73g83l9yTTmTkwDr2iz9XRdZ+/evSxevLg2gLt3716fzB1mVdn9aG/CrN516LVj4qaIO1lsHuCTelorwWrgs4mpZIZbvLr+SF4hS9Zuoryq5SFAb6iqyqCsTPp2z0BVJeDlT/lFJfyweCVOlzvQpdRh1GxMLPwvMc4c302qqJhP/zfGzEmNDvnb31bw9NMjABgw4GfWrx/nu/U9oOka+0qPsDF/NxsL9rCpYA/5VcXY3U4cmhOLwUyQ0UJaWCL94zLpF9uN/nGZJARHs/fQERau2tCm9XoqxnGQvuXzSLLv8fncbkwsODiQez67iO0HxwCNPc/ZiIraxvDhZVxzTRyTx5UAHfTXnopKZNwwKMnGtekzXDu+B6cvQum/CIrC2Pt8jH2no4bKjctCCCGEEEIIIYQQQgjhCQnbCiF86ruZs1i1dTfpXbsFZP0gq4XxQ/uTHB8bkPWFEEKIjk4rO4LtvbPoqOGUv36Vx38WHmn1PJ07d+a0005jypQpTJw4kejoaB9U1zRdc2H/+ka0I+v9vpY31JQhWM59HUX1LpzqK0ePHq0Tvt28eTPe/Fh7Vt8IPr2hS6tqcWDgrrC/8IN1ZKvmaa20EBMfT+hEWmjrbjpzulys3rzT711uY6MiGDu4H9ERYX5dR/zqSF4hc5auxt3Kmw98xaA7GVf4HgmO/b6fXDVhveh91LiGO54ePFhKWloIYMRs3ovd3vru5G1B13W+mruYkvKKQJdSh0F30q9sLj0ql6H4+bVDaXUo93x9J++vmAYogEZQ0E769j3GBReEc/31WURHB9WOryjZicOW79ea/MUSlEBIxK+/V9EdFbh2zMK1+TP0Iu9vOlGTBmDsexGGzEkoBrlRWQghhBBCCCGEEEIIIVpCwrZCCJ8pLivnx8WrqLLZA1qHqqpMGDaA9JTEgNYhhBBCdESOZS/iWvtOoMvw2vpDVYx5eleLrwsNDWXChAm13Wu7deuGoih+qLBpuq0M21fXoxfubvO1m6LE9cR63n9QLO0vHFlSUsLSpUtrA7irV6/G6XQ2e91DZyby99M8f724OaeaV3/OZ/HuCo6W1cyfEmnilG5hhE88n2963YZTMeIuzKXi+//iPLAN58Gd6FXlRP7pcYLHnV9vTtu6BVSv+BHngW24juwHt4vkj3d4/uCB01JCeWpoAnFWY4uua0pJWQXb92WzOzsHp8vls3k7JcSRldGZTknxqAH4+vq9O5pfxNxla3z6MfWGSbNxStH7xDv8F+pWYrphvfhDFEPDXcjDwzdRXt4PgGXLchg5MsVvtfjKkbxCfli8MtBl1BHryGZ48VeEuwvadN0l2Vks5XIuu2EEPXrENDrO6SijvGhTG1bmO+ExAzCaQusd13UdvewwWt72X/5sQ8vfDvby+pMEx6DGZaHGH//TGzU0vg2qF0IIIYQQQgghhBBCiJOThG2FED5RXFbOzJ9XYHc0H2xoCwowfvhAMjolBboUIYQQokOp/uA89JIDgS6jVXo8vJXDxU2/JlEUhSFDhtSGa0eMGIHZ3D46vOlVhdi+vhG9aF+gSwFAicnEet4bKEH+7+7rC1VVVaxatao2fLts2TIqKyvrjfvmpgwmZ4V7NOfbSwu44/PDdEuwcu2oGLISrSgK7My18fm6Epbvq2TGIxN4OeMu1u4uoPj52zGmZWEIj6J62cxGw7Ylb9yPfccaTOm9cB87iHP/Vo/DtpFaOQ9WvMtFVz2OavXscbSU0+Vi78EjbN93kKLSMq/msJrNdEtLoWdGZ8JDQ3xcoWipguJS5q9cT3mlD7ejb4FQVyGjiz4m2nXU72sZh96IecRNDZ6bOHEhCxaMB+Cqqxbz3ntj/V5Pa81bsY4DObmBLqOGrtOr4mf6lf/k9262jTKHYpn6bwydG+8srus6ZYUbcLvqfw9ozwymMCJi+ns8Xtd1cDvAZQfNCQYzGC3SuVYIIYQQQgghhBBCCCF8TMK2QohWK6uoYubPywPe0fa3VEXh1FGDSU2Uzi1CCCGEJ3RHBdVveB44aqzT57huYfxhVAyDOgcDkFPs4Pn5eWw6XM3mI9WUVmu8fnkqVw6v343uke+PMntrGYeKHVQ5NJIiTEzoEcbfpiTQOdqz0Mglb+3nu02l9Y536tSpNlw7adIkYmNjPX6sbU2vLsY+4y9oedsCWoea0BfLOS+hWCMCWkdruFwu1q9fXxu+Xbx4MYWFhRx4vA9xoc13g12+r4IpL+zh9N7hfHhtOmajWm/MV+tLGJkRQmyElTesZ/Jq6HScignH3s0UPDC90bCtrmkoas18Je88StWcjzwK2062r+If5W8Tp5diOe9NDJ2GePB/onVsdgeFJaUUFJdSUFJGYUkZDqcTt1tD13UMBhWjwUBEWCixURHERoYTGxVBWEhwQLpEN0avLqrpBlmSDU4butuBoqhgtKJYw1Fje6DEZDbaEfVk4HS5WLNlJ9v2+q+zbEO6Vyyjf/kcjHob3aCpGrFe9AFqXM96p95+ewvXX98HgJSU5Rw+3Hhgsz2orLbx6Q8LaBe/wtN1Bpb9QM/KpYGuBFQj5tMex5g5udEhDlsBFSUt6xgeaKFRvTBbOsYNLkIIIYQQQgghhBBCCPF74rt9JoUQv0sut5u5y9a0u6AtgKbrzF+xnvNOHSNdtIQQQggPaPmeh1FO7PR58/i4ep0+xz6zi80PZpERZ2FvgZ3P1hTTt1MQU3qF8/nakkbnLa1yM31wJD0TrIRaVXbk2nlqdi4zN5ey5r6exIQ0/yPMwNQgvttUSnBwMOPHj68N2Pbs2bNdhf6aogRFYTnvPziW/B/urV8FpAZjnwsxjbkDxRQUkPV9xWg0MnToUIYOHcodd9yBpmns3rCUuKW3enT903PyMKgKL16c2mDQFuD8gZG//M3NX2wzuMT+M19Yx/OW1ommNlc/HrT1RJBu4xzbEi6rnksv968hSS1vW5uEba0WMykJcaQkxPl9LV/SKo7h3vkDWu5mtPxt6OUedAZVTaix3Wq2XU8dgaHLuJMqfGsyGhk5oDfpKYksXrvZ711uQ12FDC/5injHAb+uU4/mwrHgMSzT36/33H/llVnccEMxuh7FkSNZOBxuzGZD29bXAvsOHWlHQdtZ9KxcFuhKamguHD/eA6erGDMnNTjEbI2lpEwjMtzz59tAMlvjJWgrhBBCCCGEEEIIIYQQ7ZSEbYUQrbJ+225KyisCXUajXG43i9du5oxThneYcI0QQoi2oet6zVa7bgeoJjCYf/ffK7S87R6NW76vgts/O9xgp8/x3cP44ylxfLW+hCBzzfExXUPJfqIvAOsOVjUZtn3uok51/n1KtzDSYsyc//o+vt9UytUj63fD/a0LxvVh/J0fMWrUKCwWi0ePqT1SzCFYJj6Iu+skHPMfRa841jbrhiVinvQIhtThbbJeW1NVlczkSDy5Vcyt6SzaXc6g1CCSIjwPW8bqpfyp+lsGl1UzHujhzKZAt1GtWFtWq67Rw5XNhbaFnGdfRJheXW+MXpnfojl/D3RdRzu8Ctemz3Dv/xl0d8sm0JxoedtqOktv+RIlJBZD7wsw9j4fNfTk2TUjKS6G804dw879h9i+N5syH4duw1wFZFauJLNqddt1s/0N7dgWtGNbMCT2rXPcbDaQkrKDw4dHouuRvP/+r51u26O8ohKvr126YC7vvPI8Dzz5POmZ3eqdf/HxR8g5lM1Tr71DQd4x7rn52kbnGt4nnfk3Rnpdi1/oGo7Z96CYX8LQeUSdU+vXr+e+++5j9eoVLF34PnGxUQEq0jPl5dWkxKYHugwhhBBCCCGEEEIIIYQQjZCwrRDCa3lFJWzetS/QZTQrt6CIbXuz6Z2ZHuhShBBCBIheXYKWv/2X8NR2tPztNd0Nde2EUQpKSCxKXFZNN8P4LAzxvVBCOlYXx9bwNGzbsk6foKqtCzHHhdb82GI0eDZPZpSbfhMmtGrN9sSQNgrrZZ/jWPIc7m1f+3UtY58LMI3+K4r5JN8VwOXZrgwFFS6qnTqp0eZ659yazomNJg0q9QL7BmoG/ME2i8sKVrHPkMIWYxe2GDPYbkyjTA3Bjhm3ooJWQRVwnu1nerv208e5jyxXNsHNxYLdDo8ey++Bruu4d/2Ac9Wb6CUHfDdvZQGuVW/gWv0Whq4TMY2+HTU82WfzB5LJaKRPty70zkznSF4B2/cd5OCRY3jbQ1XRNVJs2+lWuZIExz4Ur2fyHdemT+uFbQEmTXLx3ns1f//wwwKuv76NC2uBwuLSNlknIiqaex9/tt7x9auW8+M3X3B5b1eb1NFimgv77HsIuvxLlOAY9uzZw4MPPsgnn3xSO+Tue57l3bf+FcAim3fDTQ8TGd2J999/H6u1ZTdnCCGEEEIIIYQQQgghhPA/CdsKIbzicrtZvGZTO3jr1DOrt+wgNTGO8NCTPDgihBCilq65cO9fjGvzZ2iHVnhyBXplPnplPtqBRbVH1YQ+GPtOx9BtCorx5A4+6JV5zY7xttNnS7ncOk63zs5jNv72VQ7d4i1M6x/h2cXVxeiaC0U9eX7cUSxhWCY9hDboalxbPse1fQbYy30zuSUcY69pGPtcgBqZ5ps52zut9V02Rz+9k805ttp/PzYtmdsnNd711IBON/dhurkPc559cb3zd9gP8wbw7/LXWlSH7g5Mx9D2RqvIw7HgsTrP3z6nu3HvmYs7ewmm0bdj7HMhitIxtqZvjqIopCTEkZIQR5XNTl5hMQUlpRQWl1FQXIrN0XCo2+KuINp5hGhnDlHOI8Q6DhKkta+dT9y756CPvRMlqG5X05tu6lobtl27NvrX8W43NrsDl1tD0zUMqorBYCDIYkZV2/7jbbM7KK+q39XaH0wmE12796x3/OsP/0uwWWX6oHbcGdZWSukPD3LPXDdvv/1fXK66weDvZv7M+x9+x1WXnx2gApv25ttfMnfecgCOHDnCt99+S0xM8938hRBCCCGEEEIIIYQQQrSdk+fdZyFEm9q25wAl5e3rTdSmuN0aKzdtZ/KoIYEuRQghhJ/pVUW4tn6Ja8uX6BXHWj2fdmwLjmNbYMn/YcyahrHvdNSITj6otB1yNd8hs7WdPj2RW+ak6wNba/89NC2YH27JJNRi8HwSlx3MJ9+PO2pUGuaxd2Ea8Wfcu2fj2vJVzVb3urtlEykG1IReGHtfgKH7aSd9kLweg2dB8dhQI0EmhUNF9b823rkqnWqnRm6pk+lv7vd1hR5TDPW/Fn9PdF3HvXMmjkX/9l0AvTnOapwLn8C9Zx7mSQ+fNF1ujwu2WkhPSSQ9JREAzWWn+N0LcDmqcSs1XzsG3YlRd2DVKmhd7/I2oDlxbfsW0+Br6hwePjwZq3UPiSmxpHcN44ef12Bz2iguK0fX699WalBVoiLCiI2KIDYygtioCKIjwrz6PtcShSVt09W2MXm5R9m5bSuXD4smPKgF34cDwHxkOUWrD9QL2h5319+fJSoyjLPPHN+2hTXji6/mct9DL9b+e+nSpYwcOZIffviBrl27BrAyIYQQQgghhBBCCCGEECc6+d59FkL4nabrbN93MNBltNjBo3mUV1YRFhIc6FKEEEL4ga7ruLd9g2PJ/4HDDzeE2EpxrX8f18aPMA37I8ZBV6N4GNjrKPRWdvtsaafPxsSGGFl8V3fsLo2duXaem5fH1Jf28MMtmZ530z3Ju30qpiCMvc7F2OtcdJcNrWA3Wt52tPxt6AV70J1V4LKBooDBgmIKRonNRI3vhRrXCzW2G4rREuiHETgGz8LFBlVhXPcw5u0o52ips87nX1ZSzRzZhXa/lOipw7n5xFdUEBoaGtA6AkF3O3HM+wfunTMDsr52eBW2j6Zjmfo0hrRRAamhLejHthJUnRPoMlrFfWBRnbBtlc3Ozv2HeOLV3YSF7wLgSEEzc2gaBcWlFBT/Gn6NCA2hZ0ZnuqV1wmL2z2uC0opKn8yjaW7c7vo3ZujN7FezYc6n6DpcMzK6yXHtxbPTO7FodwXHyusHbsPDwyksDUI1RqK5Stq+uAbM+H4hf77tMTRNq3N89+7djBgxgu+++44RI0YEqDohhBBCCCGEEEIIIYQQJ5KwrRCixQ7n5lHRRttY+tqO/QcZ2qf+tphCCCE6Nq08F8f8f6IdXNYGi7lwrngF1975WE79B2psN/+v2UYUg6mZyE3bdPo0GhQGda65OWZkRiiTs8Lo9Y9tPPvTMZ65wMOuwr+jbp+K0YohsS+GxL6BLqXDUMMSPR571+R45mwr47ZPD/HhdV0wGdpXH89nXnuf1y97jqysLIYOHcqQIUMYMmQI/fv3JygoKNDl+Y3usmH/4W9oBxYHthBnFfbvb8N82uMYMycHthY/0fK3t3qOzTnVvPpzPot3V3C0rOZmiJRIE+O6hfGHUTG1z/kAc7eX8eSPx9hwuAqzQWF011AePSeJXknefz5r+TvRdY38olK27DnAgZxcdF0nLLx1j6u0opKVm7azZutOuqam0DszneiIsNZN+hsul9b8IA88ft+djZ6LiWv4xhjN5WLRokX0SLAwMqNjBPpjQozccWo8f//6SO2x4OBg/vrXv3LXXXcRGRmJrutUlu7GYcsLYKVgCUogo/sphIWFU1xcXO98QUEBEyZM4KOPPuK8884LQIVCCCGEEEIIIYQQQgghTiRhWyFEi23f2/G62h63a/9hBmV1w2Bo39tfCiGE8Jxrx/c4fn7KP91sm6Dnb8f26WWYht+EcfAf/L6NdJswNN/pNBCdPlOizCRFmNiT14J5jb+fsK1oOSUkFiUkDr0yv9mxIzNCeW56J+784jCj/r2Ta0fFkJVkRVUgt8zFtxtKAAi3qrXXfL2+5tj+X74W1h+sJtRcc+y8gZG14w4WOVibXQXAvgJ7nWvTYsx1AoiNWXeoCl3X2bZtG9u2beO9994DwGAw0KdPn9rw7ZAhQ+jbty8WS8fvaKy7ndhn3YWWvTTQpdTQXDh+vBemGjF2nRDoanxOy2td2PbtpQXc8flhuiVYuXl8HFmJVhQFduba+HxdCWOf2cXmB7PIiLPw/aZSLnl7P2f1jeDDa7tQZnPzxA+5THlhD4vu7E5GnHefv06Xi3UrVrDzSEmrHktj3G6NXQcOsTv7MP17dGVAViYGVW3+Qk/m1up3o/XGdbfcSVJKar3jn777JkWFDT8XHlz7I7kldm6ZluyTGtrKFcNj+MfMXJy6gRtvvJEHHniAxMRfb7JQFIWQiG4YzeFUle8H3Tf/jz2lKAaCwzIwB8VzyindWLZsGVOnTuXAgQP1xtpsNi644AKee+45brvttjatUwghhBBCCCGEEEIIIURdErYVQrRIWUUVh481H0por2wOB/tzcsnsnBLoUoQQQviAc81/cS5/KXAFaC6cy19CLzuCafy9KGrHvJlD0zS2bt2KfqSUTA/Gt3Wnz735dnJKnJzZN8Kj8UpILIoqP+qIpqnxWbj3e/a69voxsQzrEsKrC/N5eWE+R0udKEpNZ87hXUKY+ZeujO/+azfLK945UOf6NxYX8Mbimj3qKwcOqD3+8+5y/vThoTpjj197+bAo/nNFWpN1uTWdTYcb3nHC7XazceNGNm7cyNtvvw2AyWSiX79+DBkypLYLbq9evTCZTA3O0R7puoZj7oPtJ2h7nO7G8ePfUc55GUPqsEBX41Na3javr12+r4LbPzvM6b3D+fDadMzGXwOo47uH8cdT4vhqfQlB5prjD844Qu8kKx9fl157E8uILiH0/+d2/jkrl3eubvproiG55gxWRZ5PpZ+CtifSdZ0NO/aQfeQYpwzpR2yUZ9+3muKrm3mSUlJJz6zfjT8oOBgKG75mxU8zMRkULhsW5ZMa2kpksIFnbz6dKbe8REZGRoNjFEXBGpyIyRJJZekeXI6SNqnNZI4iJCIT9YQbnHr27MmKFSs466yzWLNmTb1rdF3n9ttvZ//+/Tz77LNy87AQQgghhBBCCCGEEEIEiLwDLYRokSN5BYEuodVyjhVI2FYIIU4CjhWv4Fr9VqDLAMC19Ut0ZxXmyf/sEIFbh8PB2rVrWbx4MYsXL2bp0qUUFxdz0ymxPHNhp2av91enz8051fz96xzO6x9JeqwZVVHYeqSalxfmEx1i5LaJDW9z/VtKXC/P/keI3zU1rhfu/Ys8Ht8vJYjXL+/s0djKFwd4NO7K4TFcOTzG4xp+a2eujWqn7vF4p9PJ2rVrWbt2LW+88QYAVquVAQMG1OmA27Nnz3Yb5nJt/gL37tmBLqNhmhP77HsJuvxLlKDIQFfjE7qjCr34gNfXPz0nD4Oq8OLFqXWCtic6/5fvAYWVLnbl2bnj1Pg6AdPO0WZ6JVn5fnMpbk3HoHoWPtVQWR8+lV2ho7yu31vFZeXMWLCMgVndGNCza6sCs8YAfS3ainL4edMhzuwTTnxYxwnkH3f18HCsXbo0O85gsBIW1Rt79TGqK7LRNadf6lFUE8Gh6ZiD4hv8fEhISGDhwoVceumlfPfddw3O8cILL3Dw4EH+97//ERzcfOdzIYQQQgghhBBCCCGEEL4lYVshRIvkF5d6NG7pgrm888rzPPDk8w12z3nx8UfIOZTNU6+9A8DGNatYs2wxBw/sJTfnMG63m7e+mNng3LlHcvjqw3fZsWUjLqeLlM5pnHnBxQwYOsKj2go8fAxCCCHaL+e699pN0PY4964fcJqCMU2432dd6HyloqKC5cuX14ZrV65cSXV1/W6Y6w813CGzIf7o9BkfZiQp3MSLC/LILXPhcuukRJqY2jucu6ck0CnK7FFtanyWx49D/H6pCR0/lL2uBV+zjbHZbKxYsYIVK1bUHgsJCWHgwIF1OuBmZmaiqg2HJduKVpqDc9nzAa2hWdVFOBY9heW0JwJdiU/othLA80D3idyazqLd5QxKDSIpovmwpsNVs47FWP97qMWoUOXQ2Fdgp1u8tfm1MbI06mJyggL3da7rOuu27aKq2sbIgb1RvXxtYDEHJui6bd7HON06V430/oaAQNLzd6Dnb0eJb/5z4HiXW0tQPA5bIfaqo7icZT6pw2iOwBqchMkSjaI0/RwaEhLC119/zW233cYrr7zS4Jivv/6aiRMn8t133xEXF+eTGoUQQgghhBBCCCGEEEJ4RsK2QogWKSzxT1B1/apl7Nu9g9QuXTEaTWTv29PguIK8Yzxx351EREVzxY1/wWq1snD2LF7597/40533MnjE6GbXKimvwOlyYTLKU6AQQnRErj3zcC59PtBlNMi19UuUyFRMg64OaB35+fksWbKkNly7fv163G53s9dtyqluUddAX3f6TAg38fZVLd8i/LcMHgRrhFA7DQVrBNg67o1YIy+7n+eHVrNmzRrWrFnDzp070XXvgpEnqqysZMmSJSxZsqT2WHh4OIMHD67TAbdLly5tdnOBrms45j0CztYHjP3NvetHXJmTMXadGOhSWs9l9/rSggoX1U6d1Oj6N0q4NZ0TP1UNKiSEGYkONrB8X2WdsSVVLrYdtQFQVNn89zI3BhZFX0Gutf5Nn4GwY/9BXG43pwzp59XXS0xkuB+qat6PP6+lU5SJyT3Dmh/cTrlz1qG24DWBoqhYguKwBMXhclZir87F5SjD7arC89C5gsEYgtEcjjU4EYOxZR1oDQYDL730El26dOGuu+5qcMzKlSsZOXIks2bNonv37i2aXwghhBBCCCGEEEIIIYT3JGkmhPCY2+2muLTcL3Nf9adbaztlffjWa42GbX/4+nMcDjt/feBRomJiAegzYDAP3/lnPn33TQYOG+lRx63CkjISY6N99wCEEEK0Cb26CMfCxwJdRpOcy1/BkD4GNbprm6yn6zoHDhyoDdYuXryYnTt3ejVXlUNjR66N3slBPq6ybUlnW+EJxWjFmDUN1/r3A12KV5TwFPqcfh19z/h1i/mysjLWrVtXG75ds2YNe/fu9cl6ZWVlLFiwgAULFtQei4qKqhO+HTp0KJ06dfJLANe15Qu0nDU+n9dfHAsfx5A8CCUoMtCleM3tdnPsyGEi/TD36Kd3sjnHVvvvx6Ylc/ukeG4cG8uTs4/x5I+5XDs6hnKbxt++yqHKqQHQ3L0gGirLoi5uN0Hb4/YczOHzzz5l5cK5hIaGEhIS4tF/Q0NDCQ4ORlUUNB8E6T2ud8c29uWWce/pCage3oDTkM051bz6cz6Ld1dwtMwJ1HTAH9ctjD+MimFQ51+DqD/vKufpucfYnGOj2qGRHmvmmpEx/HFsrMc3Af2Wlr/d69qNphCMpprXcrqu4XZV4nJW4HZVoWtuQPtlpIqiGmoCtqZQDMbgZjvYNkdRFO688046d+7MlVdeid1eP/S+d+9eRo0axYwZMxg1alSr1hNCCCGEEEIIIYQQQgjhGQnbCiE8VlxW4bc3+DzdknbPzm2kpnWpDdoCqAYDfQYOYe53X7N/zy66du/Z7DwSthVCiI7JsfApqC4OdBlN05w45j6MZfq7KKrvX25rmsbWrVvrhGtzcnJ8Nv9XG0o6dNhWTRqIEiLbKgvPGPte2GHDtsY+F6KohjrHwsPDGT9+POPHj689VlRUVC+Am52d7ZMaiouLmTt3LnPnzq09Fh8fXyeAO2TIEJKSklq1ju524Fz5emvLbVtVhTg3foR5xM2BrqRRuq5TUFDA/v37G/yTnZ1NWqTKxge9u4EhNtRIkEnhUJGj3rl3rkqn2qmRW+pk+pv7a4/fe3oiFXaNp2Yf45+zcgE4vXc4Vw6P5t3lRSRHmJpcc1PYqRwO6u1Vvf42cMQYtm7exMLZM1t87b2PP+vRz7kNGT1hMqMnTG70/K33PVLvWJ9uqR51pG/K20sLuOPzw3RLsHLz+DiyEq0oCuzMtfH5uhLGPrOLzQ9mkRFnYf7Ocqa9upcxXUN55ZJUgi0qszaXcveXOewrsPPMBZ28qkHL8z5seyJFUTGawjCa2rbL7/Tp00lOTuacc86hqKio3vnCwkImTpzIBx98wPTp01u9nq65cLkqcTsraoLF7mrQNXS9JlisKCqKaqoNFhtNoaiGoDbrcC6EEEIIIYQQQgghhBCBJmFbIYTHbI76b5I2R9PcDW5brXu8BWNdLpeLkND6b7CajDXHDmfv9+hNSLsXj0UIIURgufbMxb1nTqDL8IiWtxXXuvcxDbm21XM5HA7Wrl1bG6xdunQpxcW+CxwbjUaGDBnC2LFjGTt2LKMH9oBvLwfN5bM12pKxX+vDJuL3Q41IRe08Cu3gskCX0jIGM8Ze0zwaGh0dzamnnsqpp55aeyw/P79O+HbNmjUcOXLEJ6Xl5eUxa9YsZs2aVXssOTm5XgA3Ls7zULx7z7z2f6NFA1xbv8Y09AYUQ9MBUX8qLy9vNEy7f/9+Kisrm7ze5vK+doOqMK57GPN2lHO01EnSCUHZrCQrANmFdTt2Gg0KT52fwoNnJnKg0EFMiJGkCBPnvLqX9BgzKVHmRtcrMHViR+hYr+ttCxde8Qe2rF9DQd6xFl2XvW+P12Fbb0Q7W3cTz/J9Fdz+2WFO7x3Oh9emYzb+enPt+O5h/PGUOL5aX0KQueb4/1YWYTIofPHHLoRYam4imNgjjF15dj5cWeR12FYvPoDuqEQxh7Tq8QTS6NGjWb58OVOnTmXfvn31ztvtdi666CKeeeYZ7rjjjhYHXzXNib36GI7qPNyuKo+ucTlKqf3KVQyYzBFYgpMwmSMleCuEEEIIIYQQQgghhDipSdhWCOExt1trftBvPH7fnY2ei4mLb/F8yZ06s3PrJmzV1ViDfu26t3vHVgAqy8s9msflxWMRQggROLqzGsfCJwNdRos4V76OocdU1LCWdXSsqKhg+fLlteHalStXUl1d7bO6QkJCGDlyZG24dvjw4QQHB9cZY8+YgHvP3EZmaMeCojF0nRToKkQHYxp0FfYOFrY1Zp2NEhTl9fVxcXFMnTqVqVOn1h47cuQIa9eurQ3frl69mvz8fF+Uy5EjR5gxYwYzZsyoPZaWllYnfDt48GCiohp+TK7Nn/mkjjZXVYB730KM3RrvKtpadrud7OzsRsO0hYWFrZo/t9SJzalhNXm2E8lv3TU5njnbyrjt00N8eF0XTAbPgnihFgN9fumyvv5QFQt3lfPEuSmNjndjZGXkBeiKd3W2FWtQENfcfDvP/uM+9BbsGrNt43omnn6WHyurK8LZsjDwbz09Jw+DqvDixal1grYnOn9gZO3fTQYFs0Eh6DefZ5FBBixefu7V0NGK9mJI7NeKOQKve/furFixgrPPPpuVK1c2OOauu+7iwIEDPP/88xgMhgbHnMjlKMdWdRSHLR+8vBkaAN2N016E016EarBiCU7EEpSAqgbuJgMhhBBCCCGEEEIIIYTwFwnbCiE81pI3A4+77pY7SUpJrXf803ffpKiw5W/eTzz9LDasXsHbLz3LRVdfh9liZcEP37N3Z832kJ52UdE0CdsKIURH4t49B6rrb5/brmlOXFu+wjzyz00Oy8/PZ8mSJbXh2vXr1zfYFd5bsbGxjBkzpjZcO2DAAEympgMQxr4XdciwrbH3eSiGxrseCtEQQ+pwDFnn4N4+o/nB7YASEo9p1G0+nzc5OZnk5GTOPvtsoOa1/+HDh+uEb9esWeOzztrZ2dlkZ2fz5Zdf1h7r2rVrnQDuoEGDCLUfRTu6wSdrBoJr82etCtu63W5ycnIaDdMeOXLEq5/TPOXSYHNONUPTvesMOjIjlOemd+LOLw4z6t87uXZUDFlJVlQFcstcfLuhBIBwa02gctHuctYerKZPshVdh7XZVfzfvDwmZ4Xzp1NiG11nc9hEykwtv5kzEHr26ce4KWewcPZMj6/ZtHYVRQX5RMd63hG6NUy6vflBjXBrOot2lzMoNahON+OmXD86hs/XFnPXlzncPSWBIJPCrC1lzNhUyj/ObtlNS/U4POvW2t7FxcUxf/58rrjiCr7++usGx7z88sscPHiQjz76iJCQhr9m3W47VaV7cDp83y1cc9uoLj9AdcVBgkLTsAYnS6dbIYQQQgghhBBCCCHESUXCtkIIjxnUlneUSUpJJT2zW73jQcHB4EWTpax+A7jmz7fz+Xtvc++frwdqut2ee8mVfPXRe0TGxHg0j9GDTi9CCCHaj47a1dC19StMw26s3UJc13Wys7Nrg7WLFy9mx44dPl0zLS2tNlg7duxYevbs2eKgg5oyGDU+Cy1vu09r8yujFWPf6YGuQnRQ5rF3YTu4HL3SN51c/ck88QEUS5jf11EUhdTUVFJTUznvvPOAmuew/fv31wZw16xZw9q1aykrK/PJmnv37mXv3r18+umntTW8dV1vLunXcX91oeWsQSs5iBrZucHzuq6Tn5/faJj24MGDOJ3ONq66rvWHvA/bAlw/JpZhXUJ4dWE+Ly/M52ipE0WBlEgTw7uEMPMvXRnfveZz2mxQ+XZDCf+ebcPu0ukaZ+GBMxK5eVwcBrXh72Xlhhh2hI71ur5AmH7VtezZtoljubkefXw1TePnuT9w3qVXtUF1YNBdXl9bUOGi2qmTGl3/5he3pnNiNtyg1nydD00PYdZfMrninQO8sbig9tw/zk7mtomtC1Hrbu+Dw+1NcHAwn3/+OXfeeScvvPBCg2NmzJjBhAkT+O6770hISKg9rus6jupjVJXvR9d9d1NXg3SN6vL9OG2FhER0w2AMav4aIYQQQgghhBBCCCGE6AA67jtWQog258lWhG1h9PhTGTF2AseO5mAwGElISmbWV5+hKArds/p4NIfB0L63FxVCCPErd+4WtLxtgS7DO9VFHFj4Lj/uctWGaw8fPuzTJfr06cPYsWNru9emptbvKN9SiqJgnvgwts+uAM37wE1bMo26FTU0ofmBQjRAsYRhnvgg9u9uDXQpTTJknYMhPXChQkVRyMjIICMjg4suugioCQHu2bOnTgB33bp1VFZWtno9XdfpEeWgJb+62JxTzas/57N4dwVHy2pCjCmRJsZ1C+MPo2IY1DkYgJxiB8/Pz2PT4Wo2H6mmtFrj9ctTuXJ4wzfvzd9Zzj9nHmVzTjXBZpXTe4fzr2nJxIc137mzcv8K9qnFDYZpDxw44JP/V76iqiqdOnWiS5cutX8GJ1dAdeu6nfdLCeL1yxsOHJ9oREYIC+/s3qK5d4cMQ1c61s93FouVnv0GcfjQtx5fs3jeHM6ZfhkGY1v8Ks8/3ZJHP72TzTm22n8/Ni2Z2yfFs/5gFZe8vZ+hacG8dHEngs0qP++u4NHvj2J3atxzeqL3i/qx83MgGAwGnn/+edLT07njjjsa7Gy9evVqRowYwQ8//EDPnj3R3HYqS3fjdJS0aa0uZxmlBesJDkvDIl1uhRBCCCGEEEIIIYQQJwEJ2wohPBYRGhzoEmoZDAaSO9W8WVtVWcmin35kwNARxMR51vUmItT7zkxCCCHaVkftanvcnu/+zc0v7PHJXEajkSFDhtR2rR09ejTR0dE+mfu31LgemIZej3Pl636Z35fU5EEY+10c6DJEB2dIH4uxzwW4tnwZ6FIapIQnYx57V6DLqEdVVbp370737t257LLLAHC73ezYsaNOAHfDhg3YbLZmZqvLbFTonWT1ePzbSwu44/PDdEuwcvP4OLISrSgK7My18fm6EsY+s4vND2aREWdhb4Gdz9YU07dTEFN6hfP52pJG5128u4LzXtvL6b3D+fSGDPLLnTw44yhnvryXJXd1x2JqOuj5xr/u4O6vcjx+HP4WHx9fJ0x74p/U1FTM5rodSbWCXdg+bl3Y1l9ciol9wYMDXYZXxp92JvNmzWgwLHkiVVU59dRTueqqq4hPTebg0Ty/1+ZWmg+RNyY21EiQSeFQkaPeuXeuSqfaqZFb6mT6m/trj//188PEhxn55PoutR2Mx3UPQ1XgsR9yuXhIFF1iLV7Voxg9fw7pSG6//XY6d+7M5Zdf3uBz64EDBxg1ahQ/zPqG7hlWdK3+x6NtaFSV78flqiQkvJsEboUQQgghhBBCCCGEEB2ahG2FEB4LDrJitZix2X3/Jk1hfh779+wCID/3KABrli8BIDYugfTMbgCUlZYwZ8ZXZPbshTUoiKM5h5n97ZcoisLl19/k8XqxURE+fgRCCCH8Qdd13AcWB7qMVhndNZTIIAMl1S3fsjckJISRI0fWhmuHDRtGSEjb3TBiHHwtrr0L0At2ttmaLWa0Yj71EZQO1tVQtE+mcfegVxbi3r8QqOntmKvGkG1IoFqx4MCIEQ2z7iRaLyPTdRgLbdD9OTgWy7TXUCxh/l/LBwwGA71796Z3795cffXVADidTrZt21YngLtx40acTmej8/ROsmI2eva1vXxfBbd/dpjTe4fz4bXpda4b3z2MP54Sx1frSwgy1xwf0zWU7Cf6ArDuYFWTYdv7vz1Ct3grH17bBaOhJiiWHmNh0vO7eX9FETeMjW2ytoGd23YL9fDw8EbDtOnp6S3+PqLEdEOJzkAv2uenir2Xbe2HU+2YW9QnJqeQ1bc/2zZtaPD88a+fyy67jJSUFADKK6s5ml+E0+Xf5x2X4l2wFcCgKozrHsa8HeUcLXWSFPFrcDfrl/B8dqG9zjWbcqqZPjiqNmh73ODOwWg67Dxm8zpsi6ljfn544vzzz2fBggWcffbZFBQU1DufkhxDdFgZuhb410iO6jx0zU1oZA95zSaEEEIIIYQQQgghhOiwJGwrhPCYoijERkZw+Fi+z+fesWUj77zyfJ1jrz/7BACjxk/i2r/cAYCqGjh0YD9LF/xEVVUlEZFRDBg6grOnX0pYuGcBWrPJSFhI++nSK4QQonF6+VGwlXg83l/bhx9X7dAY8dRO9uTba7c+9sSA1CAW7qpodlxsbCxjxoypDdcOGDAAk8n77nKtpRhMWCY/iu3zq8HVso6UbcU05g7UiNRAlyFOEg5d5ed+D7HGNojNVWa2GLtQpDb+GtOku+juOkgf1376uPYxxrGJTpqPXysHRWM99zXUyM6+nbeNmUwm+vfvT//+/bnuuusAsNvtbN68uU4Ad8uWLbjdNTcnDEz1/DX703PyMKgKL16c2mhA9/yBkbV/V1XPuiseKXGw9mAV/zg7qTZoCzAiI4Ru8RZmbCptNmzbLyUIVQHNR7vZWywW0tPTGw3URkVF+bR7pKIoGPtehPPnJ302p6/sCRkW6BJaZfxpZ9YJ28bHx3PZZZdx1VVXMWDAgHofx7CQIIb17cnS9Vv8WlepybPXN425a3I8c7aVcdunh/jwui6YDE1/PiZFmFh3sAq3ptcJ3K48UAVAcqS5sUubpUZneH1tRzBixAiWL1/OGWecwe7du2uPZ3ZN5YtP/o+YmMjAFfcbTnshlaW7CYnoLh1uhRBCCCGEEEIIIYQQHZKEbYUQLRIb5VnYdvSEyYyeMLnR87fe90iLxh8XGhbGXx/8Z7PjmhITGSFv7AghRAeh5W3zeKy/tg8/0aOzjlLp0Fr8OAamBjcYtk1LS6sN1o4dO5aePXu2u+9Ramx3LGf+H/bvbgWtDTp4toBxyPWY+k4PdBniJHCowsn/9pbw8b5SCu1uYBh4kO1yKka2mjLYasrgUyah6BqnODZwhW0OYx0bMdC6dKUSmojl3NdRo9JaNU97ZbFYGDJkCEOGDKk9Vl1dzcaNG1mzZg1djn0L1O/W+FtuTWfR7nIGpQbV6aLpC1uP1txo0Ce5fnfMPslWlu+rbHaOEIuBtBgz+ws82yFEVVVSU1MbDdMmJiaiqm3bGdLY80ycy14AZ3WbrtsUuxpMkblToMtolV79BmK1BnHOOWdz1VVXMWXKlGZvsunRJZX9OUc5klfot7qKTMmtun5kRijPTe/EnV8cZtS/d3LtqBiykqyoCuSWufh2QwkA4daaz+O/jI/jri9zuPA/+7huVCxBZpWFu8p5cX4eE3qE0i/Fu+60SmTnDtMRvDUyMzNZtmwZ06ZNY9myZURHR/Dlp88RFxsV6NLqcdjyUQ1mgsO6BLoUIYQQQgghhBBCCCGEaDEJ2wohWiQu2rPuse1Zbs4hbLb+WK3WQJcihBCiGZ6Gbf25ffhxa7Iref3nAv57VRpXvHOgRY/j+BbivXv3rhOuTU3tGB1ZDZ1HYj79KRw//r3dBG6NAy7HNOLmQJchOrjVBdW8vK2QeUcqWxmLraErKj9bBvGzZRCd3Me4onoOV1TPxkLLv27UtNGYJz6EGtq6DpMdTVBQECNGjGDEiBHYfyrAvf3bZq8pqHBR7dRJja6fkHZrOvoJH1yDSotuaiiqrOmyGx1sqHcuKthYe745Iea64diEhIRGw7SpqakB7WreEMUcirHHmbi2fBHoUmq1NhC6dMFc3nnleR548nnSM7vVO//i44+Qcyibp157BwCn08m8WTNYtnAeBXm5WKxBpHXpylkXXkJmz15e1WANCmLnnj10TvH8sSiKwphB/fj6p8U4Xf75nlythlOthhKkNd+VvzHXj4llWJcQXl2Yz8sL8zla6kRRanYcGN4lhJl/6cr47jVB2JvGxZEcaeLlBfn8+eODVDt1OseYuW9qIn8ZH+d1DWq8dx+Xjig2NpaffvqJK6+8kikTe9MpJSHQJTXKVpmDyRKNydzxf78khBBCCCGEEEIIIYT4fZGwrRCiRVLiY7FazNjsnnVlao8e/Nud/P3Wm7jxxhu56aab6NSp43ZD0nWdKpud8soqXG43mltDVVUMBpUgi4XwsBDUdtYhUQghWkLL3+HROH9tH36cw6Xxp48OcePYWAZ1bnl3talDMyh4ei0xMTEtvra9MHadiHLWC9hn3QkuW2BrGfZHTMP+2O66AIuOo9ql8cSmAv67q9gnIduGHDYk8GTolXxlHceT5a/T17XPswvNoZjH3oUh6xz5HHfbWz3F6Kd3sjnn1+esx6Ylc/uklgeYG/tQePoheuCeuwnNGE6XLl1IT08nODi4xTUEmnHA5bi2fQuaM9ClAFBkSmnT9d5/7UVWLFnIGedNp2ef/lRWlPPD15/z9MP38Pd/PU1Gtx5ezetwt/xZKCwkiEkjBjJn2Vo0reUd95ulKBSZUkix72zVNP1Sgnj98s4ejZ3WP5Jp/SNbtd5vqXFZPp2vvQsKCuJ/H7xGVWnrPm5tobJ0NxExA1HU+jcyCCGEEEIIIYQQQgghRHslYVshRIsYDAZ6pKeycefeQJfilZ1bN3Hk8EEAHn/8cZ566inOO+88brnlFsaOHdvuAw0ut5sjeQXkF5VSUFJKYXEp1U0En40GAzGR4cRERhAbFU6nhDiCrJY2rFgIIVpHr2p+i2R/bh9+3BM/HqPKrvHQmYkUVLS8i1ywYiO4AwdtjzOkjcJ6wX+xz30AvcjD4KAvmUMxj/s7xp5ntf3a4qSxMq+KO1blcqCibQKDu4ydmR75T26smsGfq75sssutmjYG88QHUEPbb0fCtuXZa/PYUCNBJoVDRfVfF79zVTrVTo3cUifT39zf4gqiQ2qCYIUNdLAtrnIR1UDH24ZcOP0iDIl9Wrx+e6JGpWMa9kecK14OdClA6zvbtoTT6WTlkoUMHzOO8y69qvZ4Zs9e3HXDlaxcvNDrsG1BcSmZnVseHE5JiGPCsAHMX7keXff9bQP55rRWh20DTU0eEOgS2pSmOakuD8DrMy9obhtVFdmEhGcEuhQhhBBCCCGEEEIIIYTwWMNtv4QQogk9unT28G3v9mfBjzPr/NvtdvPFF18wbtw4Bg4cyFtvvUVVVVWAqmtceWUVqzfv4NNZC5i7bC0bduzhcG5+k0FbqAnnHissZtveAyxas4lPZs1nwcr15BYU+eUNWSGE8DlX810Nm9s+3OX+9Y83z30bD1fx3Lw8Xri4EyEWL7tvuTpuR/jfUuOzsF7yMcbB14LSdj9OqOljsV7+pQRthdd0XeepTflcMP9QmwVtj3MrBl4LOY/zox7nsPqbLdENFgxZ52C56H9Yz3lJgrYnMtZ/Xm+IQVUY1z2MdYeqOVpa92OblWRlUOdgeidbvSqhd1LNdVuPVNc7t/WIjV5JnnU7V4wnxw1vxsFXo8a3j26hxW0YtlUUBUVVCQoOqXM8KCgYRVUxmby/2aewpMzra9NTEpk0YhAG1fffj/cHD0TrwL82VGIyURP6BrqMNlVVvh+9nXSe9oS96gguR3mgyxBCCCGEEEIIIYQQQgiPSWdbIUSLhYUEkZoUz8GjeYEupUVKiotYv3pFo+c3btzIDTfcwN/+9jeuv/56br75ZtLT09uuwAbkFhSxaedeDuXm+2Q+TdfZd/go+w4fJSo8lF6Z6XRPT0Vt5x19hfg90nUNveQgWt529LIj6G47uJ2gGlGMFpSQWNS4LJToDBSDf7q5tgtay7vInqi124e73Do3fXSICwZGMjkr3PtCdDe6rqG0YTjVnxSDGfOoWzB0nYjjp4fRi/zY8d4SjnnsXRh6ntXuO9CL9sut6dy75hgf7isNaB27jJ25NPIR3i19jMwIK8asaRizzkEJigxoXe2VYg71eOxdk+OZs62M2z49xIfXdcFk8M3zRXKkmSFpwXyyppjbJ8VjUGvmXbW/kl15dv48Pq6ZGX5hDml+TAegqEbMpz6K7ZPLIMChPrsa7JN5NM2N212/c7HOrzfoGI1GJpx2JovnzaFXvwH07NOfyopyvvroPYKCgxl76uler29ztO6GnLTkBE4bM5QFqzZQbWv+JiVP2QzhHLL2Js222WdztiVj34t+V68bNLcdR7Vvfm/QlmxVOYSaewa6DCGEEEIIIYQQQgghhPCIhG2FEF7p3zOzw4VtN65citvVfGiruLiYp59+mmeffZazzz6bW265hYkTJ7bpG3VOl4tVm3ewY99Bv61RXFbB0nVb2HXgMKcM7kdkuOdhBiGEf7iPbcW9ezbasa1o+TvBWdn8RQYzakw31IReGLqMR+084qQJdAJgaL6roT+3D395YT4HCu188Id0SqpqvoeU2TQA7C6NkioXYVZDbfiqUarx5Pq4/MKQ0BvrpZ/izl6Ca9Nn/8/eXcfXVd9/HH+dcy3uSZumSWOV1CV1B1paWqQ4w2UDhg36Y2yMMWwdMhg6GDJkw7WsaPG6W9rUkkaaNO565ZzfH6GBkKS5N7k3N/J5Ph59tDny/X5umlx9n88XLWe928ZWwpIwjjkf44jTXArcCfFLmq6zfHMB72Z1vnukOxUYwrl44ON8cMoQkoOc69zaX6kRw5w+dnpiAP84bzDL3zvKjIcPcNWMcFKifVAVKKiys3JnBQBBPj/dF3+4o2nbkdKmgOKOnHoCzE3blk0IaT7u/jOiOf2ZDC75dxa/nh1BcbWdu/+Xz8hoHy6dGtZxceYAlMCBTt+Wnk4NT8Y042Zsax/1ah0OxT0XG624c3m7+8Ijf7pA54Irfo2vnx///PsKdK3puUBYRCT/95cVDIjufJddh0Pr9LnHRUeGc86C2WzYuY+M3Pwuj3fcIf+pvTNsa/LHOPw0b1fRrRrrC4Het3qNtaEUzdGIaugb3b+FEEIIIYQQQgghhBB9m4RthRCdEhUWwuihCaQdcj245A1RYSG8/K9nuPqSC3nqqaf46KOP2uxe9HOaprFy5UpWrlzJyJEjufHGG7n00ksJCPBs4Ce/qIQ12/ZQU9d6qVpPKC6r4KOv1zJp1DBGDU2QLrdCdDPdVo/j0JfY97yDVrTP9QEcVrSivWhFe7HveRclOBbj6HP7TqdEJ5bdPr58+Nf7qzlWaSM6+KfwTcqPy39nl3au09u+Y/VU1muMvT+91b77Pingvk8KWP/7YYwb3EF3vT4cIFBUA8aEuRgT5qJV5GBPex/Hwc/QazvRXc3khyF+FsYx56MOmtivOtIJz9B1nXt2FPWYoO1xpVaNi77L5aOT44jx78PdybtIjUxx6fhrZkUwJcGff35XzNPfFXOs0oaiQEyIiakJ/nxyYxLzhgU2H3/Jy1ktzv/XmhL+taYEgNoJ45u3zxkayAfXJfHAp8c47/lM/Ewqi0YH8dczB2ExdXwhhRqV0ucuuDCOvxi9thj7jte8Mr8O6IrBLWNdfdNyomNiW21/+5UXKCv96bHsk/ff5ouPP+CM837F0JRRNNTX8c1nq3js/ru47a4HiEtM6tT8mtb1sC2AxWxm3pTxJAyOZt32PdQ3dq1jLkCxOZ5KYxTB9t51oa1xxBKUPtJN2hm6rtFQV+DtMjpJp7G+EN+AOG8XIoQQQgghhBBCCCGEEB2SsK0QotMmjRxGzrFCqmrqvF3KCRlUldmpYzGoKnPnzmXu3Lnk5uby7LPP8sILL1BSUtLhGPv27eO3v/0tf/zjH7nyyiu54YYbSE5Odmuduq6zec9+rwSYHZrG5j37ycov5JRpE/H16buhMCF6Ct1hxbblJey734JG94XA9MpcbOv+gW3jMxhGLMU8/aZeHbpVA6NxFO/v8DhPLR++fMEALvlF18LCKjtXvJrNNTPDOWdiCEmRHd9nKkGd73jXm6ghcZhn3QqzbkWrKUIrTkcravqjV+WBvREcjWAwgcGC4heGGjkCNWokamQKSuiQPhdIE971flYVLx2s8HYZbcqvs3Ptunw+OiUOY0fdsfspJSwBjD5gb3D6nLExvjx3sXOhrdonxzs97skjAjl5RGDHB7bB1dBwb6AoCqaZvwNHI/bdb3f//IBBt7mlu210TCzxyUNbbff184PSpn/nH81h5dv/5dxLruTUM89pPmb0hFTu/t31vP3qC9x+74Odmt9ocE9o+LghgwYwMCKUvYezOHAkl7qGzl1wBICisDPoVOaW/cd9BXqaOQBj6lXerqJb2RrL0LWuh6u9paGuAB//wfIcUAghhBBCCCGEEEII0eNJ2FYI0WlGo4E5k8ay6vuN3i7lhCaNGkZIYMtutLGxsaxYsYK7776bt956i6eeeort27d3OFZlZSWPP/44TzzxBIsXL+amm25i4cKFqGrXPhTSNI0ftu5265KfnVFUWs4n329k0ewpBPj5erUWIfoyR+FerF/djV6W6cFJrDj2fkD9ke8xz/sTxqT5npvLg+r9h+DMIuueWj58+AAfhg/waTHX8S65CREW5gx1LnilRo106ri+RA2IQg2IgoS53i5F9FMF9Xbu3t6zuzHuKGvg+QNl/DYl3Nul9EiKakSNGIpW0AuXsf8ZNarvhW3hx8DtnDvAHIh964vdPr+7wrbOOJp1BF3XiU8e1mK70WgkNj6BA/s6/zNqMLg/YGgxm5k4chjjRySTfayQ9IwcjhWXdmqsfJ8RHPEdT0L9TvcW6SHm2ctRAwZ4u4xuZW3o+ALinkzXrNht1ZjMwd4uRQghhBBCCCGEEEIIIU5IWgYIIbpkQEQYE1Lc2+HVnQZFRTBqaEK7+318fLjiiivYunUr69at48ILL8Ro7Pg6BF3X+fTTT1m8eDEpKSk8+eSTVFV1rjOlput8u3mn14O2x1XW1PLJ9xuprXe+g5gQwjm6w4p1/ZM0vnuZZ4O2P1dXivXT22j84k70+orumbMLdF1n9+7drFixghkzZnD+b+92+txrZkWw5vbhTIrz4+nvijn7uUyWPZfJA58ew8+i8smNSVw1M6L5+EtezuKSl7P488fHgKblw49vc7e+GrQSoqfSdZ07thRQaXPP8uye9Pc9pRyq7ELnyT5OjUn1dgldpKAOmuDtIjxGURTM02/AfOoK8OneoFygvXPh0c4ICWsKxGcebNlt32azkZ15mNCwiLZOc0pQgH+XajsRVVVJiInmtDlTOe/UucxJHceo5HgGhIeesKOu2WQkOjKcMUMTmD9lPPHnPIji3/nb2F3UITMxpJzp7TK6nd1W7dRxF136exKGLyYvr7DVvvLyKkaOO5PFZ1yPpmn89cEXuOjS3zNqwjLCo2dzwy1/bXfcd9//knkLrmJQ/MkMHbmU3/z23jbncMdtEEIIIYQQQgghhBBCCG9SdF3XvV2EEKJ303Wd9Tv3sj8zx9ultBAVFsKi2VMwORGe/bn8/Hz+9a9/8a9//YvCQuc/IAoICODyyy/nxhtvZMSIEU6do+s6a7fv4WDWUZdq7A4hgQEsmTsNH4szPSWFEB3R60pp+Pgm9OJ0r9Wg+EdiOeMZ1IjWSyV7U319Pd9++y2rVq1i1apV5ObmNu+LCDCQvWKMF6tzD8t5r2IYONbbZQjRb7x3pJJbNhV4uwynTQjz4aNT4jCqirdL6XG0ylwaXjvD22V0miFhDpalT3i7jG6h15Zg/favOI581y3zbQk7h8M+Ezt9/rpvV/PyM49z14OPE5/c+rnRkyvuIS83m4eefRlN01hx53LycrJYdOY5DEsZTV1dLd989j8O7N3D1TcvZ/qckzpVR+ro4YwbntTp29FZmq5TU1uP3WHH7tBQaOqyazKaCPDzQVFa3h/Zj3yPddXvur1Op5kD8Ln4vX7X1VbTbFQUbXLq2MKiUmbNu5xxY4fx3luPtdj3m9/ey+dfrOO7r/5NYsJgYhMXMHJkEqNHJfPGW59y9lkn88wTf2o15vMvvccf73qCS3+1lDOWziP/WDErHn4Rs8nEd6v/TUiIc6tAmH0iCQgZ7tSxQgghhBBCCCGEEEII4S3S2VYI0WWKojBj/CiGxQ/2dinNIsNCWDhzsstBW4BBgwZx7733kp2dzX//+1+mTp3q1Hk1NTU888wzpKSkcOqpp7Jq1SocDscJz0nPzOmRQVuAiuoavt+yC7kmQ4iu06qP0fD+VV4N2gLotcU0fHANjoLdXq0DIC8vj+eff54zzjiD8PBwlixZwrPPPtsiaAtQUuMgu9TqpSrdRDWiRgzr+DghhFtYHToP7Cr2dhku2VHWwEfZnVsloa9Tg2NR42Z4u4xOM44539sldBvFPwLzkscwL1wBPiEencuQMJcBk5Z5dI6fU1WV2/78AAtPX8bWDWt56qH7+O8L/wTgljvv7XTQFiAiJMhdZbpEVRSCAvwICw4iKiyEyLAQwoKDCPT3bRW0BTAmzMU48YruL9QZigHzwgf6XdAWwGGrdfrYAVHhPPLgbXz7/RZeeW1l8/ZVn/7A+x9+xT13X09iQtP7OtmHv+CLVc/x6EP/1+77Ko2NVv728EssWjiTxx+9g5PmT+WSXy3l1RcfIPdoAU8/+6bTtdltNU4fK4QQQgghhBBCCCGEEN4inW2FEG6j6zqb9+wn7dARr9YRHRnOKdMnYTa5HrRtz5YtW3jqqad4++23sVqdD30lJiZyww03cOWVVxIaGtpiX3VtHR+sXoO9g0Cut82eNIZh8bHeLkOIXkuvLabhvavQq3pQsN4cgM+y51GjUrptSk3T2LJlC5988gmrVq1ix44dTp973+nRLF/Qe8MThuRTsCx+xNtlCNFvrMyu4rcbjnm7DJdNDPfhfwuGeLuMHqnHd9RshxI0GJ/LVqIo/e86Z93egOPQl9j3vItWmOaeQU1+GEcswTj6PNSIoZRWVPHR12vdM7YXXbz0lF6zmoiu61i/fQDH3g+8XUoL5gUPYByxxNtleEV9zVHqa7JcOufX19/DF6vXs/bbVwnw92PG3EsZNTKZ999+rM3j45IWcvrSua062+7cdYCTF13D3x9czpWXn9ViX/LIJYSHhbBp7etO1xUaNQ1Fdd/7OEIIIYQQQgghhBBCCOFu/e8THyGExyiKwtSxKcybMh6L2eSV+SekDOXUWZPdGrQFmDx5Mq+99hq5ubncf//9DBo0yKnzMjMzWb58OYMHD+baa68lLa3pg2Zd11mzbXePD9oCbNyVTm1dvbfLEKJX0huraVj5254VtAWw1tCw8rdo5dkenaa6upoPPviAK6+8kujoaKZNm8b999/vUtAW4KV1pWha770+rD91NRSiJ3j1cIW3S+iU7aUN7Clr8HYZPZJhyCyUwGhvl+Ey45jz+mXQFkAx+mBMOQOf8/+D5fz/Yhh5Jop/lOsDqSbUAWMwzf0jvld9gXnenagRQwEIDQrAaDC4ufLuFejv12uCttD0mts8706Mo87xdilNFAPmU+7tt0FbAM3h+uPGwytuIyDAj5tufZDb//gYVpuNJ//xB5fHsdlsAJgtrd//MZtNZB45SkNDo9PjORzOHyuEEEIIIYQQQgghhBDeIO0ChBBulxQ7iEGR4azbkUZ2fmG3zBkWHMic1HGEe3gJzqioKO666y7uuOMOPvzwQ5566inWru24m1JdXR3PP/88zz//PPPmzeM3N/2OOr37A8mdYbPbWbs9jYUzU9tcTlQI0T7rDw+jlx72dhlta6jA+uWdWM571a0dpDIyMli1ahWrVq3i+++/b/4QvjPMZjPz5s1j6dKlWKN24VO0zW11dhclNAE1JtXbZQjRb6RXNLKpuPdeJPTa4QoemTLQ22X0OIpqwDTrVqyf/d7bpThNCY7FOOY8b5fRIxgGjMIwYBQAel0pWtE+tKJ0tOID6A3lYLeia3YUowWMPqghcahRKahRI1HCklAMbb9uUlWVxNhoDmb1sIuaXJAcF+PtElymqAZM8/8EPsHYt/3be4UYfTAv/CvGpJO8V0MPoKO5fE5oaBBPPvoHLrjkdgCefeouYga5HoZPTopDVVU2b9nDxRf+FHg+kpVHYWEpABWV1Qz0sTg5ouu3RQghhBBCCCGEEEIIIbqThG2FEB7h62Ph5GkTyTx6jM2706lzoZuJK4wGA2OGJTJuRBIGtfu6RplMJs4//3zOP/98duzYwdNPP80bb7xBQ0PHXWU2bNzI2Vc24uffO8K2AEcLizlaUExsdCe6UQnRT9mPfI9j/ypvl3FCWtE+7NtexTT56k6PYbfbWbduXXPAdv/+/V2qacCAASxZsoSlS5dyyimnEBgYCIAjaw2N/+t9YdumroZyoYIQ3eX1jApvl9AlH2RXcfeESAJNvbtbpycYkxfgSF6A4/Bqb5fiBAXzyfegmHy9XUiPo/iFY4ifjSF+tlvGS0kc0mvDtoqiMDwh1ttldIqiKJhn3IRh8GSsX9+LXlPQrfOrgyZgPvke1JC4bp23R9I7t/rDKSdPI3XSKMrLKzn/3FM7NUZoaBDnnr2At9/9ggnjUjjz9PnkHyvi1tsfwWAw4HA4UF14n0bv5G0RQgghhBBCCCGEEEKI7iJhWyGExyiKQlLsIBJiBpJ9rJD0jByOFZe6ZeyQwABSEuNIHhKD2eTd0OqECRN46aWXePjhh3nxxRf55z//SU5OTrvHT509Dz//gG6s0D3SM7MlbCuEk/SGKmzfPuDtMpxi2/wchsS5qOHJTp9TWlrK559/zqpVq/j888+pqKjoUg0TJ05k6dKlLF26lEmTJrX5obwaNwMlfCh66aEuzdWtfMMwjljq7SqE6FfWFdZ5u4QuaXDo7ChtYM5Af2+X0iOZ5/6B+qNboKHC26WckHHchRhiJnq7jH4hIjSYyLAQissqvF2Ky4YMGoC/r4+3y+gSQ9w0fC5+F9vax7Hvfd/zExp9MM24CePYC1GU7rvYtmfr/EVdFrMJUxffT/n7Q8vRdZ3b//gYy+/4O6qqcv65C4mMDOPb7zYTFur86kNygZoQQgghhBBCCCGEEKKnk7CtEMLjVFUlISaahJhoKqpq2H+kKXRbXlXjUueSQH8/osJDGB4fy8CIsB73QUx4eDh33HEHy5cv53//+x9PPfUU3377bavj5p+6pI2ze77cgmKqa+sI9PfzdilC9HjWNY+g15Z4uwznaHasX92N5bzXUNS2nxrqus6+ffuau9euX78eTev8Mq++vr4sWLCApUuXctpppxET0/ESyopqwHLKPTS8cxnojk7P3Z3M8+5EsQR6uwwh+o06u8bhamuHx+VfNMKp8cL//CqWkVOp+fRVrPu3Ysvah6M4D3PKZCLu/k+r4x2lBdSs+je2rH3Ycg6g11UTct0K/Oae7dLt2FMuYdv2KH5hmOfdifXz33u7lHYpwbGYpt/k7TL6lZTEuF4Ztk1JHOLtEtxCMQdgPukuDMmnYNv0LFrBbg9MYsCQNB/T9Jukm+0veDt07O/ny3NP/5kHH/gdefmFDBwQQXh4CFNnXczk1NEYja689SwBaiGEEEIIIYQQQgghRM8mYVshRLcKCQpg2riRANgdDsoqqykpr6SssgqrzY7DoaHrOkaDitFoICQwgIjQYMJDgrGYvdvB1llGo5Fly5axbNky0tLSePrpp/nPf/5DXV0dycNTiI1P9HaJnbY/M4fJY5wLqAjRX2nlWTj2r/J2GS7RitJxZH6LMXlB87aGhga+//775oBtVlZWl+aIi4tr7l47b948fH1dX1pbjRqJcdKV2Le+2KVauoNh6KkYk0/2dhlC9Ct7yxvQnLiOK+K+t1p8Xf3Bs1j3bSL8rldabDfGNHX8rvv6LRSLL5ZR02jY3vpCquPshdnUr/sfxiEp+IyfQ/36T1y+DQC7yxo7dV5/YRy6AK3gEuw7/+vtUlozB2BZ/AiKyfXHONF5CYOj2ZF+mOra3tPZOio8lOjIMG+X4VaGuGkY4qahFR/Avudd7Ac+AXtDl8ZU/CMxjjoHw6hlqAGyykpbVIPZ2yUAEBISSEhI00Vmn32xlsMZOfzlrutcGqOn3BYhhBBCCCGEEEIIIYRoj4RthRBeYzQYiAoLISosxNuleMzo0aN57rnn+Nvf/sa///1vckurvV1SlxzIymXSqGFtLvEuhGhi3/Out0voFPue9yj2H82nn37KqlWrWL16NbW1tZ0eT1VVpk+fzpIlS1i6dCmjR492S0dy05Rf4zjyHXrp4S6P5TG+YZjn3uHtKoTod3Y5GVI1Dx3f4ms1KBQUtdX24yIf+QTlx+c+Rbef3v64IyYz8PkNAFgz9nQhbNu1cFp/YJp1G7q1Bse+j7xdyk+MPljOeAo1cri3K+l3jAYDc1LH8sn3G71dilMMqsrsSWN63Eot7qJGDsd80l2YZt6C49CXOAp2oxWlo5dldrw6gdEHNXI4amQK6uDJGOJnoxh6x0W33mIwBnhk3HXrd1D6Y8doh+bg6NFCPl7VdMHJjGnjiYgIBeDjVd9RUFjCsKHxNDY2sm79Tv714rtccdmZnLZottPzqaoFVZX/ayGEEEIIIYQQQgghRM8mYVshhOgGoaGhLF++nDc/+Zq6ht7brazRaqOsspqI0GBvlyJEj6Tb6rGnf+ztMjpFO7qZ+RMSOFDY+fuo4OBgFi1axNKlS1m0aBERERFurLCJYjBjWXA/De9d2eVuaZ6hYD75bhTfUG8XIkS/s6/CM/cJipMXGTl7XEdyam1U2xwEmgxuGa8vUhQF8/y7sKlG7Gnvebucpo62pz+FIXq8tyvptwZGhDEyKZ59GVneLqVDk0YNIyTQMwHJnkSxBGIcfQ7G0ecATc+TtdJD6GWZ6LZ6sDeCooLRgmIJRI0YjhIaj6LKfZ8rjCbP/Cw99Pd/s27Dzuav167fwdr1OwBY+f6TzPoxbGswqLzx1qdkZh5F0zSGD0/gsYdv51cXnubSfAYP3Q4hhBBCCCGEEEIIIYRwJwnbCiFEN6lraHQqaLvu29W8/Mzj3PXg48QnD221/8kV95CXm81Dz74MwK6tm9m6fg05WRkU5B3F4XDw4nttd1IrPJbP/959g4P70qiuqiQkNIzxk6ex5JwLCAgMcup2lFRUSthWiHY4Dn4G1hpvl9Fp18yM4PYP8lw6Z/jw4SxdupSlS5cyc+ZMTCbPd6RSI0dgOe1RGlfdAprd4/O5wnzSXRgT5nq7DCH6pWqb5u0S3KbapknYtgOKasA0707wCcG+9UXv1eEfheX0J1AjR3itBtEkdfQwcguKqK6t83Yp7YoKD2XU0ARvl+EViskXw8CxMHCst0vpU1SDGUU1o2tWl8/9+IOnOrXv55YsnsOSxXNcnvuXPBUaFkIIIYQQQgghhBBCCHeSsK0QQnSTkvJKj4y7Y/N6Mg/tJzYhCaPRRHZm20urV1dW8rc7l+Pj68uZF15CeEQkOUcyWfn26+xP282fH34C1YmObKXlldA/Px8GQNM0KqprKCmvorSikpq6euwODU3TUFUFo8GAn48P4aFBRIQEExociMFNne5Ez2fft9LbJXTJr6aE8YeP8nCcIK9mNBqZO3cuS5cuZcmSJQwd2vqigO5gGDID86KHsH5+R48J3Jpm345x1NneLkOIfqvBoXu7BLdp7EO3xZMURcE8/QYMcVOxfnUvetXRbp3fkHIm5tnLUSyB3TqvaJvJaGTe5HF8+sMmHFrPC99bzCbmTBqLqijeLkX0MUZTALbGMm+X0SXS2VYIIYQQQgghhBBCCNEbSNhWCCG6SWmFZ8K2l113c3NI9vUXn203bLtjy0Zqqqu49tY7SBk7HoARo8dht9n44I1XOZp1hLjEpA7nK6moclvtvUWj1cah7KMcySugtKISx4mSiMcdafpLVVXCggMZMmgAw+Nj8fWxeLZY4TW6w4pWtM/p4/fk1fPP74tZc6iGY1U2AGJCTMwdGsiVM8KZGOcHQF65lce/KWL30Xr25NdTWa/x3MWxXDo1vNWYi548xJrDta22nzIikJW/7fj3O8TPQMpAH9LyWy7FHhERwZIlS1i6dCkLFiwgOLhndLc2Jp2EcvqTNH5yG9g9s3y8UxQV80l/xjjyLO/VIISgL8VTJWvrGkNMKj6/egfb+iew737b4/Mp/lGYT7oLQ/xsj88lXBMVHspJ0yby1YZt6HrP+UUyGQ2cOnMywYH+3i5F9EFmS1ivDtsqigGT2bmVdoQQQgghhBBCCCGEEMKbJGwrhBDdpNRDIVVnutECGIxNSxH7+rX8gNfXv+lro9m5pd/LKqvRdR2lH3RkKimvJD0zm4zcfOcCtm3QNI2S8kpKyivZse8Q8YMHkpI4hAHhof3ie9ifaCWHnO6w+tK6Em579yhDB/jw23mRpAz0QVHgQEED726vYPbfD7LnzykkRlrIKGnkna3ljBnsy8KRQby7reKEYyeEm/n3ZUNabAv2c34p8gmxfqTlNzBu3DiWLl3K0qVLmTx5MgZDz1zO3BA3HZ9zX6Hxq7vRSw52+/xKYDTmk+/BEDul2+cWQrRkUfvO46qvoe/clu6imHwxz/0DhuSF2La+hJaz3v2T+ARjHLkMU+pV0s22B4uLjmL+1PF8t2knWg8I3JqMRhbOTCUyLMTbpYg+yuwbSV31EXTd4e1SOsXsOwBF6ZmvNYQQQgghhBBCCCGEEOLnJGwrhBDdxGpzbZlzTXPgcLT+sEzvZN+2CZOnszLiv7zz2otc/OvfEh4RRc6RDD778F3GpU5h0OA4J+vSsDscmIx99yGksrqWdTvSOFZc6tZxNV0nM/cYmbnHiAgNZtbEMYSHSAefvkIrTnfquA2ZNfzunaMsGhXE61fFYzb+FJifNyyQa+dE8sGOCnzNTdtnJQWQ/bcxAGzPqeswbOtjVpmS0Pmuab+7dDF/ffdvxMbGdnqM7qZGDsfn/P9i3/pvbFtfdDr03FXG0edimvk7FLN0qROiJ/Az9p2Aqq/RuYupRGuGmIkYYiaiVWRjT3sf+76V0Ni1i97UAWMwjjkPw9AFKEYfN1UqPCkhJhrTDCNfb9yOvY3XVN3FYjaxaNYUIkJ7xqoAom9SFANm3wE01uV7u5RO8fGL9nYJQgghhBBCCCGEEEII4ZS+m5QSQogepq3g7ImsuHN5u/vCI6Ncnt/P3587//YYzz7yV/5y62+bt6dOn8XVN/+fS2M5HBqmPvgIous6ew9nsXXvgU53snVWSXklK79Zx/gRSYwbkYzByQ7F3qA7rOilh9GK0pv+lGWg2+rA3ggoYLSgmP1Rw4eiRqWgRo1ECUtAUfvgD8kJaEXOhW0f+bIIg6rw5AWxLYK2P3f2hJDmf6vd3KlxZKSKTy8K2h6nGEyYpl6LIXEejV/fg16833NzBcVgPunPGGKnemwOIYTrkoMsQLW3y+iycIuBUHPPfV7QW6ghQzDPug3TtN/iOPIDWsEetOJ0tKL9YKs94blK0OAfn9OkYIidhhqV0k1VC3caPDCSM06awQ9bd1NSXtnt8w+KimD2pDEE+Pl2+9yi//HxG9grw7ZGcwgGo/yOCCGEEEIIIYQQQggheof+lYIRQggvcrUf7dU3LSc6pnXg7e1XXqCstNjl+Wtrqnn6ofuxNjby61tuJzQ8grzcbFa99xZPP3gfN995j9PLxOs9YDlWd6uqqeWHrbspLC3vtjl1XWdH+mGy8wuZkzquR3W51e0NOA5+gX3fR2iFaR12CtUBLX/7TxuMPqjR4zCOOgdD4jwUg8mzBfcAellmh8c4NJ0fDlUzMdaX6GDPfE+OlDQy+A97qGpwEBdq5txJodyxcEBzp9yOaE7cjp5MjRyOzwVvoB3djH3POzgyvwc3LamrDp6Cccz5GBLm9IufaSF6m3Fhnuk4as3Yg6MkDwC9vgZN16nf9DkApsQxGCNjmo89vt1eeLTp3Mw0FB8/AHynLnJqvnFhPihK3+nS622K0Qfj0IUwdCEAuq6hV+SglWc1XTjkaATFAEYziiUYNXI4io90Ie0rQoMCOX3edPYcOsL2fYfQNM9eUAdgMhqZMnYEw+Nj5XdZdBuD0Q+TJRRbY/e9nnUHH/9B3i5BCCGEEEIIIYQQQgghnCZhWyGE6Caudi6NjoklPnloq+2+fn5Q6vr8n330HrlZmTz07MuEhIYBMGzkaKJjBvP3e+5k45pvmTnvFKfGcjaU21sUlJSxev1WrLbuWXr+l8oqq/nft+s5aeoE4gYN8EoNx2kVOdj3vIs9/eOuLblsb0DL3YQ1dxOKfwSGkWdjHH0OaoDrXZl7C91W1+ExJTV26m06sWHmVvscms7Pc+wGFZcDGtMTAzhnQijDBliot+msTq/iH18VsiGjhs9uSnauS669Hl3Xe3U4RFEUDLFTMcRORaspxJ72AY5DX6JXZLk+VmA0hsR5GEefhxqW4P5ihRBuMzbM4pFxa798nfofPmqxrfzx3wEQct0KjHPPbrX9uLov36DuyzcA8H3TuY7bY0I9ExoWTRRFRQmNRw2N93Ypopuoqsq44UnERUexbnuaRy+uix0YxYwJo6SbrfAKv8AkKq3bQfd8qNwdzD4RmC1h3i5DCCGEEEIIIYQQQgghnCZhWyGE6CZGLwdUc7MyCQ0Lbw7aHhefNAyA/Jxsp8cqLCwgdvBgt9bnLUcLi/lqwzYcDu9+IOnQNL7auJ25k8eRFNv93X30xmqsa/+BY9+H7h+7tgT7luexb30J44RLMU29DsXomUCUV9mtXTp95iMH2JPX0Pz1X88cxO9Odi2c/Jel0S2+XjQqiLgwM3d+lM+qPZWcMS6k40F0ramTcR/p3KoGDMA87XqYdj26tQateD9aUTpaUTp69TF0eyM4rGAwoRgtKH4RPy4dPhI1cgSKb6i3b4IQwklhFiMxfkby6ly7eCb0+gfh+gdPuD/0BPt/bpCTgdoT8VRoWIj+LjQokKXzplNcXsH+zBzSD2dhMHb9bTGT0cjQIYNJSYwjJCjADZUK0TkGow9+gQnUVWV4u5QO6bqKX1CSt8sQQgghhBBCCCGEEEIIl0jYVgghuklIUABHC4u9N39oOPv37KK8tITQ8Ijm7RkHm0IhP992IgV5R4mLXUJMTAzTpk1j6tSpTJs2jUmTJuHn5+eR2j2loKSMr9Zvw9ENy8k6Q9d1vt+yC6PBwJBu7HDryF6P9Zv70GsKPTuR7sC+/RUcR77HfMq9GAaO8ex83c2JTrARAUZ8TQq5Za2DuS9fFk+9TaOg0sZ5LxxxW1kXpoZy50f5bM6qcy5sC07dlt5IMQdgiEnFEJPq7VKEEB6SGuFLXk61t8voNAWYEC4dMYXwpMjQEMLGB3LRWUsZOX4S4ydPY0hiEj6+zr+WMZtMRIQGkTA4mqTYQZjcENoVwh0svgOxNpRgt1Z6u5QTuuNPj3Pb/93DyJEjvV2KEEIIIYQQQgghhBBCOE0+DRBCiG4SERLkkXFLi4s4cvggAMUFxwDYumFt05yRA4hPHgrA/EVL2LTmWx67/y4Wn3UeYRER5OVks+r9twkKCWHq7HlOzZedeRiAvLw83n//fd5//30ADAYDY8aMaRHAHTZsGKqquvPmuk15VTVfrtvaY4K2x+m6zjebdrB49hQGRnh2SU3dWot1zd9x7PvIo/O0mrf8CI3vXYFxwmWYpl2PYjB36/we40S3XoOqMHdYIF/vr+ZYpY3o4J+6x6ZENy0bnl3a6JHyVGfzs6oRRZWniEKI3unCxGBW9uKw7UmD/BngK/fBQnjajh07yDuaS97RXFav+ghFURgQHcN1N97Eqactpa6hEYdDQ9M0DAYVg6ri7+dLZGgw4SHBBPr7ovTRi5NE76YoCv5BQ6kq3YGuO7xdTpve//ArXnr5Xd7/cDUfffQRc+fO9XZJQgghhBBCCCGEEEII4RT5FE8IIbpJRGiwR8bdn7aLl595vMW25x79GwAz5p3MVTfeBkB80lDuXPEY/3vvTT588zWqqyoJDQtnfOpUTj/vIgKDnKvveNj2lxwOBzt37mTnzp0899xzAAQHBzN16tTm8O2UKVOIiHCug64naZrG91t2YbO7tsx0d9E0jR+27GLZgtke65Kl15XR8PEN6MVdX+66cwVo2Le/glacjuW0x1DMvasrclvsigWDE8f934IovtxXxS1v5/L61QmYDJ4Nary+uQyAKfH+zp1gdvI4IYTogWYN8CMh0MSRapu3S+mUy5NDvF2CEH2GputYrTYcWlNoVlVVjAYVs8nE6tWrWxyr6zoF+UeZMn4M08ZJp03RuxmMPgSEjqS6bC/Qsy4uXbt+Bzff1vR+RUVFBQsXLuSVV17hoosu8nJlQgghhBBCCCGEEEII0TFF13Xd20UIIUR/oOs6//l4dY8NeDrrkb/8gQN793T6/KSkpBbdb8eNG4fZ3L2dTXekH2b7voPdOmdnpCQOYcaEUW4fV6spovHDa9Erstw+dmeoA8diOfMZFHOAt0txmq7rHD58mHXr1rF27VrWrl3L1aNquGFepFPnv7i2hOXvHWXYAB+umhFOSrQPqgIFVXZW7qzgo12VPHXBYK6a2RRO/3BHBQBHShv588fHuHZ2BLOTm75fyyaEALAuo4aHvyjkjHHBxIdbaLRpfJlexb/XlzIrOYBVv01CdaK9rTp4Mj7Lnnf9myKEED3E8wfKuHdHsbfLcFmcv4m1SxIwON2KXAhxnK7rVFTXUFJeSUl5FaUVlZRWVGF3tO7saTIayMvJZtf2rWRnHiY74zDH8nIxm82UlZXh7y8XHom+wdpYRk15OtAz3vrdtn0f51xwK9U1da32Pfjgg/z+97+XjtFCCCGEEEIIIYQQQogeTcK2QgjRjT5bs5n8ohJvl9FpdpuN3111EQ319W4b02KxMGHChBYB3CFDhnjsQ7ayyipWfr0OrZc8/J02ZyrRkeFuG0+vr6Dhg2vQyzLcNqY7qIMmNgVujT7eLqVNNpuNnTt3Ngdr165dS1FRUYtjLpocyouXDnF6zN159fzzu2LWHK7hWKUNRYGYEBNTE/y5eEoY84YFNh/rf/POdsepfXI8ABnFjdz+fh578uoprbWjKJAUaeG8iaHcPD8Si0l1qi7jxMsxz/yd07dDCCF6mgqrg0krM2hw9I7H+uPuHBfBDSnue8wXoj9otNo4nJNHekY2lTW1nR4nLzebvMxDPPXoQ5hNJjdWKIR32RorqK7YB7p3O9zqih8XXXI7q7/6pt1jrr/+ep588kmMHlrdRQghhBBCCCGEEEIIIbpKwrZCCNGNMnLz+W7zTm+X0WmRwQFUHstm48aNbNq0iV27dmH3QKfeqKioFuHbyZMnExgY2PGJHdB1nY+/WUdJRZUbquwegX6+nL1wDkaDoctj6Q4bjR9cjVbQ+c7EnmRInI/5tEd7RDej6upqNm7c2Bys3bhxI3V1rTsw/dyIgRa23ZnSTRV6jvnUBzEOO9XbZQgh+jFd16msqaW+oRGH48fl3w0qRoOBAD9f/H19OnyseGh3MU/uK+umirtuoK+RbxfHE2Tu+uO9EP1BWWU1+w5nkZGb32b32s4yGgwkx8UwKjmekKDes+qCECdit9VQU3EAzeG+i2ZdYfEdiF9QIo2NVi6//HLeeeeddo9dunQpb731lnSYFkIIIYQQQgghhBBC9EgSthVCiG7k0DTe+vQbGhqt3i6lU5bOncaAiLDmr+vr69m+fTubNm1qDuDm5OS4fV5FURg5cmSLAO7IkSMxuBhAPVpYzBdrt7i9Pk+bkzqWoUMGd3kc2+bnsW161g0VeY75lHsxppzR7fPm5+c3B2vXrVvHzp070TTXuj+pChx7eAwBlt4dlPK5dCVqSJy3yxBC9CP1jY3kFZY0Lf9eUUlZRRU2e/vhOR+LmYiQYMJDg4gMDSEmKgKjseV9b6NDY/GX2Ryo7B3Puf4zJ4aTBkmwT4iOOBwOdqQfZvfBTDz5dpaiKIwfkcS4EckYVOdWBxCiJ9N1jfqabBpq87ptTlW14B88FJMlpHmbpmnccccd/P3vf2/3vNTUVFatWsWAAQM8UlfTfYcOug6K2iMu9hRCCCGEEEIIIYQQQvQOErYVQohutnXvAXbtz/B2GS4LCw7krJNndfhB1LFjx9i0aVNzAHfLli3U1nZ+Sdf2BAQEMHny5Obw7dSpUxk4cOAJz1m9fis5x4rcXounRYQGc+ZJM7s0hlZykIa3LwbN/Z2I3cocgM/F76MGRHlsCk3T2L9/f3O4du3atRw5csQtY394XSILRwa5ZSxvUAIG4HPFpyiKhEqEEJ6l6zpFZRWkZ2RzJK/A5Qscfs5sMjEsfjAjEuIIDvypE96usgZOX52No4e/4r0gIYjHpkZ7uwwherzisgp+2LqbiuqabpszLDiQOanjCA/pvc/vhPg5u7WKmspDHu9ya/EdiF9gPIpqbHP/008/zc0339xuaD4+Pp7PPvuMESNGdLoGXdfRHA3YbTU47DVNf9tq0fVfviZWMBh9MZgCMBoDmv42+aMovfsiSiGEEEIIIYQQQgghhPtJ2FYIIbpZTV0973z2Lb3tznfmhNGMSHS926XD4WDv3r0tut/u27fPI52o4uLiWnS/nTBhAr6+vgBU19bz7ue97/t+3BnzZxAZFtKpc3WHjYZ3L0Mv3u/eojxEHTITy+lPua3DUGNjI9u2bWvRubaszL1LiyclJTFr1iwunD6IOdbP3Dp2dzJNvR7TlN94uwwhRB+m6zqHsvPYe/gIZZXVbh8/JiqCscMTGRQVAcCDu4t5ap977/PdaaCvkW8WxxNslkCPEO3RdZ0d6YfYuT/Do91s26MoChNShjJ+RJJ0wBR9gq5rWBtKaKw7ht3mxsdiRcXiE4XFLxqjyb/Dw1euXMlFF11EfX3bwd/Q0FA+/vhjZs2a5VIZmmajsb6QxroCNEeDS+f+RMHsE4GPXzQGU6D87gshhBBCCCGEEEIIIQAJ2wohhFes276H/UdyvV2G0wL9/Tj7lNmtlmjurKqqKrZs2dIigFtU5P6Os0ajkfHjxzN16lRSZ83HYfJ1+xzdZeiQwcxJHdupc23bXsa2/kk3V+RZ5oV/xTj8tE6dW15ezvr165vDtVu2bKGxsdFttamqyoQJE5g1axazZs1i5syZREc3dSTUNTsNr56OXlPgtvm6jWrE94pPUfwjvV2JEKKPqqqpZc22PRSUeD78Oix+MFPHpqCrBi7+7igbij3bwa8zLKrCG/MGMy3Kz9ulCNFjaZrG2u17OJSd5+1SGJ4Qy4wJo1EldCf6ELuthsa6AhobikDvXJd51eCLj180Zt8o1HY62bZn06ZNnH766RQXF7e532Kx8Nprr3H++ed3OJbdWk1D3TGsDcXgxstsDUZ/LH7RWHwjpdutEEIIIYQQQgghhBD9nIRthRDCC6w2Gx98tYbaus52WeleS+ZOY2BEmMfG13WdrKysFuHb7du3Y7Va3TbHg//8NxFRA9w2XnczGgxcesYCVFV16TzdYaP+ldOgrsRDlXmGEjEcnwvf7LCDkK7r5OTkNAdr165dS1pamltr8ff3Z/r06cycOZNZs2YxdepUAgMD2z3etuVFbBufcWsN3cEwdCGWRQ95uwwhRB+k6zr7MrLZmnYAu8PRbfP6+/owa+IYgsPDmPbqfioCXAsAeZJBgRdnxbAwJsDbpQjRY2maxnebd3Ikr+dcxJQUN4i5qeOky6Xoc3Rdw2Gvw2GrwW6rwW6vQbPXo+saPwVXVRTViNHkj8EYgNHU9EdRzV36ncjIyGDx4sUcOnSo3WMeeeQRli9f3uY8mmanrioTa4P7L+D9OdXgg3/wUEzmYI/OI4QQQgghhBBCCCGE6LkkbCuEEF6SV1jM52u3eLuMDo1Mimf6+JHdPm9jYyO7du1qEcDNyMjo1FiBQcH8499vdHjcum9X8/Izj3PXg48Tnzy01f4nV9xDXm42Dz37MgC7tm5m6/o15GRlUJB3FIfDwYvvfdLqvJVvv87/3m1//t/87vdMmTW3w/rOOnkW4SFBHR73c/ZDX2L9/A6XzukpLOe+giF6XIttDoeDtLS0FuHao0ePunXegQMHNnetnTVrFuPGjcNodD6gpdeVUv/yItDsbq3L0yxnv4ghZpK3yxBC9DGNVitfb9zBseJSr9VQU+rD8tunEXp7MeZk71/oZFYVnpkezWmx7V+4IUR/p+s6a7fv4WCWe5/nuUNKYhzTx4+SwK3oN46/dezJn/mSkhLOOOMMNmzY0O4xN9xwA0888QQGw0/dZa0NZdRWHUbX3HehbkcsftH4BcSjqNLlVgghhBBCCCGEEEKI/qbntPYRQoh+JmZAJMPjYzmQlevtUtoV6O9H6uhhXpnbYrEwZcoUpkyZwk033QRAcXExmzdvbg7fbt68mcrKyg7HGpKU7JEad2xeT+ah/cQmJGE0msjOPNzmcbNPOZXRE1qHGF977kmKCwra3NeW0opK18O2e95x6fiexL7nXRqDh7J58+bmYO2GDRuoqqrq8tiqqhI9OJYhiUMZP2kyScOGExwSgr+/P2azBaNBxWQyYjf5kZ1fSHhoMMEB/k59wKz4hWOcdBX2Lc93uc7uYkicjzpoorfLEEL0MXX1DXy+djPlVTVerSMgvIHf/CadFx8ay8A/puNItHitFj+jwkuzYpgz0N9rNQjRG+w5mNkjg7YA6Zk5BAcGMCo53tulCNEtuiNYHhERwddff80ll1zCBx980OYxzzzzDLm5ubz55pv4+lqorcrAWu/ZbrZtaaw7hq2xnIDgYRjNrr0+F0IIIYQQQgghhBBC9G4SthVCCC+aMjaF4vJKyiq7Hh50N6PBwPwp4zG50NHT0yIjI1myZAlLliwBmpaWPXDgQIvut7t370bTtBbnDUn0TNj2sutuRlVVAF5/8dl2w7Zh4RGEhUe02FZSVEh+bg5TZ8/Dz9+5JaRLyisZFh/rdH1a6WG0vG1OH9/T1O/7hJQL/k5BRaNbxjMajUyZOZdFZ57NwJhYVEPrTkS1DVZqG37qipRf9FMnRpPRyMCIUIYnxBEbHYV6gg+dTZOvwXHkO/SSg26p3aN8gjHPu1O6swkh3Kq+oZFPf9hEZU2tt0sBYNK0QgICvuPu383ltexq/r6nlEatexd5mR7ly6NTBjIkwNyt8wrR25RXVbNtX/vLyfcEW9L2M3hAJMGBEpwXwl18fX155513uP322/nHP/7R5jEff/wxS5Ys5r03H0Ohvpsr/InmaKCqLI2A0BTMllCv1SGEEEIIIYQQQgghhOhePSdBJYQQ/ZDZZGTRrMms+n4DVTV13i6nmaqqLJgxiciwEG+XckKqqpKSkkJKSgpXXHEFALW1tWzbtq05fLtx40bik4Z6bP7OWvvNl+i6zuyTT3X6nJIK10LZ9kOrXS2rRzEbYFGKP69s6HzYNjg4mFMWnsqcUxYRFDEQh975YJXNbie3oJjcgmL8/XwYkRDH8PhYfH1ad0hUDCYsp9xHwzuXgGbv9JzdwTz3DhT/iI4PFEIIJzVabXy+dkuPCdoeN3y0ja1p+7h+8jgWDArg1k0F7Chr8Pi8fkaFP42L5LLkkBNeqCGEaLqYbs3W1hfP9TQOh8aabbtZMneaXLAkhBsZDAYee+wxhgwZwq233or+i9dvwcEB/PmPl3k1aPsTjZryfQSEjMDsE+7tYoQQQgghhBBCCCGEEN1AwrZCCOFlvj4WTps9lc/WbO4RoRSDqnLytIkMiuqd4Tt/f3/mzJnDnDlzmre9/ek31NQ7H6bRNAcOh6PVdh33dMDTNI31331N1MBBDB81xunzqlz8+dCK9rp0/J68ev75fTFrDtVwrMoGQEyIiblDA7lyRjgT4/wAyCu38vg3Rew+Ws+e/Hoq6zWeuziWS6e2/QFjbaODx74q4r3tFeSUWQmwqIwe5MtTF8aSHHXipbwnxvnxyoYyp29DbGwss2bNYtasWUyfMYM6zcCBI7no0KWg7S/V1jWwbe9Bduw7xNjhSYxPScbwi/C1GjkcY+rV2Df/y23zupsh8SQMQxd5uwwhRB+i6zprt+/pkV37ATJy8wkLDmLs8EQ+OiWOFw+W82x6GSWNrR/3u0pVYOGgAP4yIZI46WYrhFP2HDpCcXmlt8twSmFpOXsPZzF6aIK3SxGiz7nllluIjY3l4osvpqGh6bW8n68Pb/3nYcaPHe7l6n5Op6ZiP4GhozBZQrxdjBBCCCGEEEIIIYQQwsMkbCuEED2Av58vS+ZN48u1W1zuXupOZpORU6anEh0Z5rUaPEFxsQPtijuXt7svPDKqq+Wwb9d2ykqKOfviy106z+FwvsOXrutoRelOH//SuhJue/coQwf48Nt5kaQM9EFR4EBBA+9ur2D23w+y588pJEZayChp5J2t5YwZ7MvCkUG8u62i3XFrGh0sfuowxyrtLD8litGDfKlqcLDxSC11to5vz4RYv3b3KYrCmDFjmsO1M2fOJC4uDoD8ohLWbNtDTZ1nOx5pus7O/YfJzi9kTupYIkKDW+w/EnQ2e/dtYdHI7R6tozOU8GTMJ98t3diEEG515OgxsvIKvF3GCW3fd5C46ChCggK4bkQYVw0N5bOj1bx6uIJNxV1/3Ai3GPhVUjCXJIUw2N/khoqF6B9q6xvYse+Qt8twyda9B0iKG4Sv5cQXkAkhXHf22WfzzTffcPrpp1NaWsozT/6JKZOdv1i1++hUV+wjOHwCBqOvt4sRQgghhBBCCCGEEEJ4kIRthRCih/C1WFgybzo70g+x50Cmm3qoOm9QVASzJ40hwK/vfTjk6jK0V9+0nOiY2Fbb337lBcpKi7tcz5qvv8RgMDBz3ikunWd3OMjJqWTQoECMxhMHiPWaQqh3riPshswafvfOURaNCuL1q+Ix/2zsecMCuXZOJB/sqMDX3LR9VlIA2X9r+pBze07dCcO29646xoGCRjb9YTgJET+FEJaMCW73nJ8bPcgHs1HBatfx8fFhypQpP3WunT6dkJCQFsfb7Ha27NlPemaOU+O7S3lVNR9/u55xw5OYkJKMqqps317AjBk14PgnH15/I3OHbu3Wmk5ECY7F58x/ovg49/8ghBDOqG9oZP1O17qqe4ND0/hh226WzpuOqiiYDQpnDgnizCFBpFc08mF2FTtKG9hT3kC1ExeG6JoDQ2keyyaPZv5Af06LDcBicO1CHyEEHDiSg8PF5+3e5nBoHMw6yrjhSd4uRYg+afr06WzYsIHHH7uXM5bO83Y57dM1aisPERg2Ri5mFEIIIYQQQgghhBCiD5OwrRBC9CBGg4HJo0cQP2ggP2zdTUV1jcfnNBmNTBk7guHxsX32QyFXb1d0TCzxyUNbbff184PSrtVSXVXJrq2bGDNxMsGhrnUQtllVhgwJBhwoSjkGQzUmUy0+PvX4+lrx97cRFOQgJAROTt7DLaOcG/eRL4swqApPXhDbImj7c2dPCGn+t6o69/2ss2q8uqGMZRNCWgRtXWE2qvzrb3cwfOYZTJw4EcsJuoY1NFr5ct0Wry09rP/Y5bakvBI/BnDSfB27PRmA81+4k31P3Ut4/S6v1PZzSmgClrOeQ/GP9HYpQog+RNd11u9Io9Fq83YpTikuqyDt4BHGDk9ssT0lxEJKSNP9o6brZNXY2FPWwJEaGw0OjQaHzheffMLendvRaiqwHdmLLXs/FkXn8dpaVBe76QshmmiaxoEjud4uo1P2Z+YwZlgiah99LSWEtyUlDuG+v/wW6NlhfLutisa6fHz8Y7xdihBCCCGEEEIIIYQQwkMkbCuEED1QZFgIZ548k137M9h7OAub3e72ORRgyKABTB03sk92s/05Qw/qLrfh+2+w2+3MPvlUl8+1Wo/fDgO6HordHordDvX1UF7e8tjh9nxwImzr0HR+OFTNxFhfooPdu9T1jtw6aq0ayZEWbnk7l/e2V1Br1Rg9yIe7ThvIolHOdVW95KyTMSZPP+Ex9Q2NfLpmExVVng+od+RoYTGH0uswGGdit4PRmMv/PjMwePbzWL++D8eBT7xWmxo9HsuSx1B8Q71WgxCibyooKSMrv9DbZbhke/pBhicMxmI2t7lfVRQSA80kBrbcr3+Uxcb3n26xrQE4duwYMTESsBGiM7LzC6lraPR2GZ1SU1fP0YJi4qKjvF2KEH2OruvUVh1G6eFB2+PqqrMxWcIwGPv2eyxCCCGEEEIIIYQQQvRXPSd9JIQQogWjwcCkUcO4aMlJzJw4mrDgQLeM62MxM25EEucvns/J0yf1+aAtgO8JuqF2t7XfrCYkLJwxEya5fG51lRX4EtgMHASKgbY7CPqYnAsrlNTYqbfpxIa1Dho5NB2746c/uq67VG9+RVNtj31VyN5jDbxwSRxvXRNPoI+Bc58/wur0KucGclhPuLvRauPztZt7RND2uKEptdzw+234+R9m/Xoj8+bFoRjMWBY+gHnRw+AT0r0FGSyYZt6K5ewXJWgrhPCI9Ixsb5fgsuPLv7sqKant5eIzMzO7WpIQ/VZ6Zo63S+iS9Mzedx8oRG9gayzD1ljm7TJcoFFbleHtIoQQQgghhBBCCCGEEB4inW2FEKKHMxmNjEiIY3h8LEVlFWTm5lNcXklZRRUOzbnuLsGB/kSEBBMbHUX8oAEYDAYPV92zhIcEUVDi/g/oSouLOHL4IADFBccA2LphLQARkQOITx7a4vjMg/vJz83mtLPPR+3E/0HOkTXAw23s8QNCgNAf/w4hwK/ry9jOfOQAe/Iamr/+65mD+N3Jznfs0n7M5poNCh9el0igT9NtnjM0kLH3p/PQF4UsSAnqeKAThG01TWP1+q2UVVY7XVd3GTm2lP9+oJGa2jKUZRy6AEPMJKzf/w3H4a88Xoc6cAzmU+5DDY33+FxCiP6ptr6h13W1PW5/Zg6jhyaguLD8e2JiYpvbMzIymD17trtKE6LfsNsdFBSXeruMLskvKsWhaRhUuaZdCHdqqMv3dgkus1srcNjrMBj9vF2KEEIIIYQQQgghhBDCzSRsK4QQvYSiKAwID2VAeFNXSk3TqKiuoaS8kuraeuwOBw6HhqoqGA0GfCxmIkKDCQsOwmzq33f3EaHBHhl3f9ouXn7m8Rbbnnv0bwDMmHcyV914W4t9a7/5EkVRmH3ywk7Nl51xuJ09dT/++emDyLr6KGBQh2NGBBjxNSnklrUOtL58WTz1No2CShvnvXDE5XrD/JvCtVMT/JuDtgB+ZpVZyf6s2l3p3ECqqd1dew5mUlha7nJt3aWsupyM3HyS41ouK674hWFZ/Aj2jG+x73gV7dgut8+thMRjHH8RxlHnoKj9K2AvhOheB7NyXe5+3lNU1daRX1RCzIBIp89pr7NtRoZ0shOiM0orq+jKPci6b1fz8jOPc9eDj7e62A3gyRX3kJebzUPPvgyA3WZj1ftvsfGHbykvKyU4JJSps+dx+rkXYe7kihiaplFeVU1EiGdedwjRHznsdditTr5m7GEa6o7hH9T28wUhhBBCCCGEEEIIIUTv1b/TV0II0YupqkpYcBBhwU50Bu3nnP3Qe+b8Bcycv6Dd/TffeY9Lx//SZdfdzGXX3ez08b+Undle2La1eptzkQWDqjB3WCBf76/mWKWN6OCfgq0p0T5N85Y2ulboj0YP8m13n66D6mwXQaO5zc3lVdVsT3f+e+ItG3buY1BkOH6+Pq32GZPmY0yaj1Z8APued7Ef+ATsDW2M4iTFgCFxHsYx56MOnuxSp0YhhOgMXdfZfyTX22V0SXpmjkth24EDB+Ln50ddXV2L7RK2FaJzSsq7N0z3/OMPs2fHVk4/9yLik4eScWA/n7z/Fvm52dz0h790etzS8ioJ2wrhRg11x7xdQqdZ64vwC4iXix6FEEIIIYQQQgghhOhjJGwrhBCizwsK9MdkNGCzO7xdSpcYlaYOx850Dyyssjk97v8tiOLLfVXc8nYur1+dgMngnoBmdLCJqfF+bDxSS1W9gyDfpg8a66waaw/XMDneuWU1Fb+IVts0TeOHrbvRNM0ttXqS1WZj3Y40Tpk+qd3wqxo5HPNJd2GaeQuOrDVoRfua/hQfAFtdm+c0nWhCjRiKGpWCGjkSNX4WakCUh26JEEK0VlldS119Fy4S6AGOFZei67rTFygoikJiYiJpaWkttkvYVojO6c6wbcbB/WzftJ7zL7+GhacvA2Dk2AkYDAY+eONV9u7awahxEzo1dkl5BcMTYt1ZrhD9lq45sNYXebuMTtN1B40Nxfj4DfR2KUIIIYQQQgghhBBCCDeSsK0QQog+T1UUYgZEkpVX4O1SOi0qLIQ9u3dRV1fHvn37SEtLY8+ePc1/HzvWsuvPjtwTBDR/YXpiAP84bzDL3zvKjIcPcNWMcFKifVAVKKiys3JnBQBBPmrzOR/uaNp25Meutzty6gkwN21bNiGk+bgVZ8Ww+KnDnPlsBredEoWCwpPfFlFa6+DuJdEdF6eoqBHDW23eezir27ugdUXOsSKOHD1GYuygEx6nWAIxDj8Nhp8GgK5r6OXZ6NX56HYrOBpBNaEYLSj+EShhSSgG0wnHFEIITyqpcO6+2NVl3ndt3czW9WvIycqgIO8oDoeDF9/7pNV5WRmHWPfNag6mp1FSVITZYmFw3BBOO/sCUsaMc6o2q81OdW0dQQH+Th0PkJSU1Cpsm5mZ6fT5QoiflFZUddtch/fvA2DMxNQW28dOmsIHb7zK9o3rOh+27cbbIURfZ7NVoeu9+2JZW2OphG2FEEIIIYQQQgghhOhjJGwrhBCiX0hJjOvVYduUpCEA+Pn5kZqaSmpqy4BAaWlpiwBu2p7dVDXUtgjInsg1syKYkuDPP78r5unvijlWaUNRICbExNQEfz65MYl5wwKbj7/k5awW5/9rTQn/WlMCQO2E8c3bpyU2nXvfJ8e46rUcACbH+/H5TclMTeg41KSExqOYW3bA1TSNtENHnLpdPcnug5kkDI52unMigKKoKGEJEJbgwcqEEKLzPHXhw47N68k8tJ/YhCSMRhPZmYfbPG7z2u85cvggM+cvIDY+kcbGBr7/8lMevfdOrrrxNmbMO9mp+UoqqlwK2yYmJrYeo6SEqqoqgoKCnB5HCAENVqtbxtE0Bw5H63Cezk+rQjjsdgCMxpYXKxlNTV8fze78c8yGRvfcDiEEOGzVTh130aW/Z+PmPaz95hViYga02FdeXsXMeZcyZMgg/nb/73j9rU/YsHEXObnH8PP1ISUlkVtvvpQ5sya1GjcrO5+7732GNeu247A7SE0dxV/+dB3jxra+ELQ9dluN08cKIYQQQgghhBBCCCF6BwnbCiGE6BeiI8MJDvCnsqbW26W4zMdsJj7mxB1xwsPDmTt3LnPnzm3e1vDBr9Hytjo9z9gYX567OM6pY2ufHO/0uDOSAvj85tZdDJ2hRqa02padX0hdQ2OnxvOm0ooqissriQoL8XYpQogOaLpOZXUNJeVVVNbUYLc7cGgaqqJgUFUsFjPhwUGEhwbha7F4u1yv8lRHysuuuxlVbbpg5PUXn203bLvorHM5//JrWmwbOyGV+35/C/97703nw7bllSQOdqLj+o+SkpLa3J6RkcGECZ3riilEf9VWQLYzVty5vN194ZFRAEQPjgXg8IF9RA746fn14fS9ANTUOBfwa4tD0zp9rhCiJWeDqo8/egez5l3OLcsf4r23Hmux744//YOamnqeeeJPvPLaSrbvSOfiC09j1Khk6uoaeOW1j1h23u945ok/ceH5i5rPKykpZ8lZNxASHMiTj/0BHx8zjz/5X84452a++uwFhiY795pZ12xojkZUQ/9+riiEEEIIIYQQQgghRF8iYVshhBD9gqIojEiMY9PudG+X4rJh8YMxGgwun6dGjXQpbNsTqVEjW21Lz8zxQiXukZ6RLWFbIXqossoqDmfnUVRWQWlFFXYnw1/+vj5EhAYzKCqC5LhBmE2mjk/qQ8oqPRO2PR607UhQcEjrcw0GhiQms2nNt07PV+ZiaFjCtkK4j6bpHR/khKtvWk50TGyr7W+/8gJlpcUAjJmQStTAQbz/31cICg4lIXkomQf388Gbr6KqqksrEPySJmFbIdzGYXPuItkBUeE88uBtXH3tX3jltZVccdmZAKz69Afe//ArHnnwNhITBnPTDb/ivr/c0OLcBSdPY/7Cq/n7P15pEbZ9+tk3KS2t4POPnyU2timUP3XKWFKnXcCDj7zES/+61+nbYbfVYJawrRBCCCGEEEIIIYQQfYaEbYUQQvQbQ4cMZvu+Q9h+XD62NzgeEu4MQ8Jc7Dtec3NF3UcHjjgGkWCzYfoxvFZRVcOx4lLvFtYFR44eY+rYFHwsZm+XIoSgqQthVl4B6ZnZFJaUd2qM2voGausbyM4vZMue/STHxZCSFEdYcJCbq+15dF3HanPtMdWZZd67yuFwcCh9L4Nihzh9jtVmc2mOE4VthRCuMRhUpy9wOJHomFjik1uvpuDr5wc/Pn00mkzc8qd7eempR/nH/XcBYPHxYdlFl7Pq/TcJDQvv9PyGTlwcJ4RoTdNsaJrzK5mcdcZJfPLZD9x93zOcNH8KAf5+/N8df2fenMlcdfkyACIjQludZzAYGDd2OO99sLrF9k8+W8PsmRObg7YAQYH+LD1tLu+89wV2ux2j0bm31O22Gsw+nb9fEUIIIYQQQgghhBBC9CwSthVCCNFvWMwmpowZwbodad4uxWnjRyQT6O/XqXPVQRNQwpPRS9teerun+3JvFWffPB+z2cyIESMYM2YMU+acjH/4AG+X1mkOTSM7v5DhCa27rgkhuo+m6+w7nMWuAxk0NFrdNq7d4WD/kRz2H8lhYEQY08aNJDyk74ZuO7NkujPLvHfVx++8TlFBPjf8/i6nz3H1tgwZMgRVVVt1sszMzHRpHCEEGA0GGnEt8N4VA6IHceeKRykvLaG2pobIgQOpr6vjrZf/xbCRozs9rsHJjtxCiBPTHK4/N3t4xW2s27CTm259kIjwEKw2G0/+4w8nPMdut7Nx025GDItv3lZf38iRrDyWLJ7d6viRI5Oob2gkKzuf5CTnLojVte67bxNCCCGEEEIIIYQQQniehG2FEEL0K8MTYjmSd4z8op7fHTUsOIjxI9runOcMRVEwjjkP23d/c2NV3ef5tSUAWK1Wdu/eze7duwmPG8pYJ8K2675dzcvPPM5dDz7eZoezJ1fcQ15uNg89+zIAu7ZuZuv6NeRkZVCQdxSHw8GL733S7vh5OVl8/M4bHNi3h4a6OoJDwxgzMZVLfn1Du+ccV1JeIWFbIbyosrqGNdv2UFjauU62ziooKWPlN+sYPyKJcSOS+2QIS9dd70brzDLvXfHDV1/wyftvs/D0ZUyYMt3p8zQXb4vZbCY2Npbs7OwW26WzrRCuC/T3o7a+odvnDQ2PIDQ8AoCP3vwPFh8fZp20sNPjBQV07gI5IcQvuX4xT2hoEE8++gcuuOR2AJ596i5iBp34Ip6H/v4ymUeO8p+XVzRvq6isRtd1Qtq4WCr0x23l5VVO16Xrrt8WIYQQQgghhBBCCCFEzyVhWyGEEP2KoijMmjiWD7/6AZu968vVeoqiKMxJHYvaxXCWcfgSbOueBFutmyrrHlmljXy5r/WHmEMSkz0y347N68k8tJ/YhCSMRhPZme13A96ftosnV9zL0JRRXPqbGwkIDKKspJicI84FrEoqnP9wVgjhPse72W5NO9Cpjqydoes6O9IPk51fyJzUcX2uy21nlkx3Zpn3zlr7zWr+8/zTzFmwiPMuu9qlc42duC1JSUlkZ2ej+AdjShiJISKag5ExPH+gDLOqYFEVov1MjAm1EO4jL72FaE9EaDAFJWXdNt9nH71HcEgoYRGRVFVWsHX9GnZs2cg1Ny1vDt92RkRosBurFKL/6szFPACnnDyN1EmjKC+v5PxzTz3hsf95/X889sRr3HDdhZy2qHUXW0VR2j/5RPta6dxtEUIIIYQQQgghhBBC9EzyiZ8QQoh+J9DflyljU1i3Pc3bpbRrQkqyW0JZitkf46izsO983Q1VdZ/nfihB+8XnkiFh4QSHhnpkvsuuu7k52Pz6i8+2G7ZtbGzghSf+zojRY7npj39p8SHs9LknOTVXWWU1Dk3rk10uheip7HYHX2/aztGCrndO7YyyympWfrOOOaljSY6L8UoNnqAqCqqqonVTePlE1n6zmlefe5IZc0/m0t/ceOKQTBtcCdseqbbySW41FWf+jqgz78QYNbh5nwO4d0frn7NBfkbGhvowNsyHxYMDGBZscak+IfqyiG6+EMFus/K/996kvLQEs9lM4tAR3H7P3xg2cnSXxo0IkbCtEO7g6mP4z1nMJkwm0wmPef2tT7jt93/n8kvO4N67f9tiX0hwIIqiUF5e2eq88h8vmgwNCXS+oC7cFiGEEEIIIYQQQgghRM8jYVshhBD90vD4WCqqath7OMvbpbSSFDuI8SPc18HVNPU6HIe/Rq8pcNuYnrQ7r4Fnv28dVIpPat0J0V2c7SC8dcNaKsvLOPV3v+/0h8CaplFeWS3dz4ToJlabjS/XbaWwtNyrdei6zvdbdmG12RmZNMSrtXRFUVER69evZ926daxbt46F5/yK2PhEr9a07tumoO202fO5/PqbO3X/HBIYcML9dk3n6/waXj1cwfcFdU0bo4Y5/YI6v85Ofl0Nn+fV8PCeEqZH+XJ5ciiLBgdgUiWII/q38C4+J5o5fwEz5y9od//Nd97T4uvTz/sVp5/3qy7N2RZ5bieEu3juosTX3/qE3y1/mAvPX8SjD/9fq+cMvr4WEhNi2Jee2erc9PRMfH0sxA8Z5PR8igdvixBCCCGEEEIIIYQQovtJ2FYIIUS/pCgKU8emYLPbOZh11NvlNIuLjmJO6tgudfP5JcUcgPnku2lc+duOD/Y21UjqbR9x8FozaWlp7Nmzhz179pCWlkbkgIEuD6dpDhwOR6vteieX8zy0L+3HcTUevOt2jhw+iMViYfT4SZx/+TWEhIU7NU5NXb0EMoToBna7o0cEbX9uw869qKrCiIQ4b5fSIU3TSE9PbxGuPXy4ZefvYeMmeyRsW1pcxJHDBwEoLjgGNF3wABAROYD45KYLMLauX8Mrzz5JbHwCcxcsaj7nuLiEpA473AF8+N47ZKRt59RTT2XAgAHN2+2azr8PlfPCgXLy6+xuuW0AG4rq2VBUT5SPgSuHhnLtiFAsht4VyHE4HJRX1VDf2IjDoaFpGgaDAaNBJdDfj0B/P7c+nxF9V3CAP2aTEavNfb9j3c3XYsbf18fbZQjRJxgMnun+/sbbn/K75Q9z3jkLeeLRO9p9jDpt8Rz+9cK75OUVEhPT9JyguqaOVZ9+z6JTZ2I0Ov92umqQ+wUhhBBCCCGEEEIIIfoSCdsKIYTotxRFYdbEMRgNBvZlZHu7HBJjo5mbOs7pLquuMMRNxzByGY59H7p9bHcyTb4GY9RwEoCEhAROP/305n3b9x1kR/rh9k9uw4o7l7e7LzwyyuX6ystKAXj2739lzimLOOvCSyjMz+fDN1/j4bv/wF8efQqLpeMPVNsKAAsh3EvTNL7euL1HBW2PW7c9DYvJRMLgaG+X0kJdXR2bN29uDtdu2LCB8vITf/+yMw8zm1PdXsv+tF28/MzjLbY99+jfAJgx72SuuvE2AHZv34KuaeRkZvDgXbe3GufBf/6biKgBrbb/0jtvvc6jR5q62E2cOJFFixYx+pSl/Mcaza7yxi7emvYVNTh4aE8JK3Oq+MfUaMaG9dxQTnVtHUcLiykpr6K0opLyymo0vf2LV8wmI+EhwUSEBhMZGszggZGYXAgoif5DURQSYwexPzPH26V0WlJcjITLhXATRTWiGnzRHPVuG3Pl/77lltseYsyoZK649Ay27UhvsX/s6KFYLGYAbrzuQt557wsuvPT3/OH2q7GYzTzx9H9paLTy++VXuTSv0XTizvlCCCGEEEIIIYQQQojeRT7pEkII0a8pisK0cSMJ8PNla9qBE4ZGPGnssEQmjR6O6sEP6Q+GLMRU/i5xoT3z4V+NSsE4qf0PLzsTYLj6puVEx8S22v72Ky9QVlrs8ni61vTzMXnGHM69tKnWEaPHERQSwjMPP8CmNd8z55SOQ2cOTXN5biGEa9IOHeFooeu/591lzbY9RIaFEODn67Ua8vPzW3St3bFjB3a7a50lszOduwjC1WXeOzr+uKtuvK05eNtZNpuN/NyfQn7bd+7iYGwqgSMCUEyeC9r+3P5KK0tXZ3NjSji3jArrMV1udV3naGEx6Rk55BYUuXSu1WbnWHEpx4qbLlQxm4wMHTKYEYlxhARK+Ei0lJIY16vDtr2hW7kQvYnRFIDVjWHbL79aj6Zp7NpzkMVntF7xZcfmd4iLbboIKiIilE8+eoa7732GG25ZgcPuIDV1FB+//yTDhg5xaV6DhG2FEEIIIYQQQgghhOhTembaRgghhOhGiqIwZlgiMQMiWbN1FyUVVd02d3CAP7NTxzIgPNSj8+zYsYNTFi4h3FjL6luSiQzseEnt7qQEx2JZ+iSKof26OhNEjo6JbV5q/Od8/fyg1OXhCAgMBGDU+Iktto8ePwlFUcg5chic6PDoie7FQoifVFTVsH3fIW+XcUI2u5212/dw6szJ3dIN0eFwkJaW1iJcm5WV1eVxc7OP0NjQgMWn53Zk7Uh2xiEcP4aMFf9gwm9/FvPwiR2c5X4OHZ7YV8rXx2p4bc5gBvh67+W6Q9NIz8hm3+EsquvcE3ay2uzsPZzF3sNZDIoMZ+zwJGIGRLhlbNH76XYb1RWlBIaEe7sUl8VERRAc6O/tMoToU4ymAKwNrl809fEHT7W5/Zkn/sQzT/zJ6XES4mP4z8srXJ7/51SDD6oqb70LIYQQQgghhBBCCNGXyDt+QgghxI/CggM5ff4Mdh/MZMe+Qx7vcjtmaAITRw3DaDB4dJ5t27axYMECysvLKQPO+Gcmq25MIty/ZzwNUAIHYjnrORT/EwduDB7+Pjlj8JAENq/7od39iuJciNYgYVshPEbTNH7YuqtXdJDOKyzhUPZRhsW37sDdVdXV1WzatKk5XLtx40aqqtx7MUloaCgzZsxAa6yFXhy2XfvNagDU0CjC//gipthhXq0nrbyRs7/O4a15scQGdP/FMaUVVfywdRdlldUemyO/uJT84lKGxQ9m6tgUzKaedRGQ6D52u53nnnuOu+++m+SU0Vx72x+8XZLLUpJc63QphOhYX+gIa+wDt0EIIYQQQgghhBBCCNFSz0jZCCGEED2EqqqMH5FMQsxA9mVkcyg7D5uLS2qfiEFVSYobxMikeMJDgtw2bnu2bNnCwoULqaioaN62O6+eRU8e5uPfJhEd7N1wixISj+WsZ1EDB3Z4rK+PpRsqOrEJU6fz4ZuvkbZjKxOnzmjevmfHVnRdJ3HYcKfG6Qm3RYi+Ku1QFsXlld4uw2kbd6UTExWBv59vl8bJyclh3bp1zeHaXbt2obk5cDx06FBmzpzZ/Gf48OGoqkpJeSUrv1nn1rm6i8Nuo7woHzUojPA/vYIpJtHbJQGQVWPjnG9y+PDkOGL8u+ex2qFp7Nqfwc79h9E9fMHRcQezjpJXWMKsiWMYPDCyW+bs62x2O6UVVZSUV1JZXYPN4cDh0FAUBYOqYjaZCA8JJCI0mJDAAK922//666+55ZZb2Lt3LwDbN2/gWF4u0THuvwDBU0KDAoiVn10h3M5oCkJVLWhao7dL6TSzj9w3CCGEEEIIIYQQQgjR10jYVgghhGhDcGAA08ePInX0cDJy8knPzO5Sh7egAD9SEocwdMhgLObuCc1s3ryZhQsXUlnZOnS271gDf9kygOd/FQNFe7qlnl9Sh8zCsuBeFN8wp473ZDi5tLiII4cPAlBccAyArRvWAhAROYD45KEARMfEMn/REr794lMsvn6MmTCJwvw8PnzrP8QlJDF5+myn5uuOoLUQ/ZHd4WDXgQxvl+ESm91O2uEspo5Ncfocu93Orl27moO169at4+jRo26ty2w2k5qa2hysnT59OlFRUW0eGxEaTGRYCMVlFW6toTuMHTGUDdt3csZnGRys656AqbPy6uxc9N1RPjw5lnAfz750r61vYPX6rZRWuLf7sbNzf7FuCyOThjB13EhURen2GnozXdcpLC3nUPZRikorqKiucfpcg6oSFhLEoMhwhifEEujv58FKf5KRkcH//d//8dFHH7XY7rDbefmZx/nDA494NQTsLEVRmJM6rlfUKkRvoygKFr+B1Ndke7uUTlFVCyaLc69zhRBCCCGEEEIIIYQQvYeEbYUQQogTMBmNjEiMY3hCLFU1tZSUV1LyY7ew0oqqNrveGg0GwkKCiAgJIiI0mPCQYEKDAlC6MTyyceNGTj311HaXDD/11FN54a0P8bGYse96A9uGZ8DRTV2DzAGY59yOYcTpLn1PggP8MRmNbu00fNz+tF28/MzjLbY99+jfAJgx72SuuvG25u0XXvEbQsMiWPP1l3zz2f8ICAxiysw5nP2ryzE6sQx2SGAAJqM8BRPCEzJzj2G12bxdhssOZh1l0shhGI2GNvdXVlayYcOG5nDtpk2bqK2tdWsNkZGRzJgxozlcO2nSJCwW57twpyQO6ZVh2xGJcdy1rajHBW2Py6i2cvuWQl6aNchjzyOqamr5bM1maurqPTK+s/ZlZFPfaGXu5HEYJLzYIavNTkZuHukZOZRXde6CMIemUVxWQXFZBbsOZBA7MJKUxCHEDIz0SOi5pqaGFStW8Oijj2K1Wts8JvPgflav+ohTzzjb7fO729jhiUSEBnu7DCH6LIvvAOprcoCe+Rh9Iha/gd36+l8IIYQQQgghhBBCCNE9FL271ocUQggh+hhd17Ha7NgdDjRNQ1VVjAYVk8nk1a5s69evZ9GiRVRXtx28OO2003j//ffx8fFp3qaVZ2P9+i9ox3Z5tDY1fjbm+XehBrTdHbEjn3y/kYKSMjdX1b2S4gYxb/J4b5chRJ+08pt1lJS37ubdG8yeNIZh8bHous6RI0dadK1NS0vD3S/bRo4c2SJcm5yc3KVQiEPT+OirtS511fS2pLhB2AYlc8WaPG+X0qGnpkVzdrz7u6JX1dTxyfcbqGvoOct0Dxk0gJOmTpBuoe3QNI3dBzPZfSDTIxcgAQT6+zFtXApx0QPcMp6mabz++uvccccdHDt2rMPjzz7nHM694jrqGtsO5PYEoUEBnHnSTAyGti+SEEK4R03FAawNxd4uw0UKIZGTUQ1mbxcihBBCCCGEEEIIIYRwMwnbCiGEEH3I2rVrWbx4MTU1bYedli5dynvvvddmt0Jd13Ac+QH7nnfRcta7ryjFgCFpPsbR56EOntylMNem3emkHTrivtq8YOrYFEYPTfB2GUL0OcVlFXz8rRvvu7qZo7GeLz94k3Xr1lFQUODWsX18fJgyZUpzsHb69OmEhbl/aePisgr+990GtweDPcHXx8Ipc2ew6Ks8Chsc3i6nQyFmlW8WJzDA132d0evqG1j1/Uaqa+vcNqa7DB0Sw+xJY6Ur4C+UVVbxw9bdlFa0vXKBuyXHxTBt3Egs5o4797dn06ZN3HLLLWzatKnDY0eNGsXjjz/OKaecQnFZBZ/8sBGHQ+v03J5iNBhYOm864SHuD8ALIVqy22qoKt3p7TJcYvEdgH/wUG+XIYQQQgghhBBCCCGE8ABZw1gIIYToI3744QdOO+20dpcWP+OMM3jnnXfaXRZcUVSMifMwJs5Dq8jBnvY+9vSV0NC5LpGKfySGUWdjHHV2pzvZ/lJcdFSvD9vGDnTP90II0dKh7KPeLqFLDBZfNm7Z6pagbXR0NDNnzmzuXDt+/HjMZs93V4sMC2HssER2Hcjw+FxdNXPCaFakVfSKoC1AhVXjD1sL+fesQW4JoOq6zrebd/bIoC3Aoew8IkKCGZkc7+1SegRN09h1IIOd6YfRujHMfjgnj/yiEmZOGE3cINe63B47dow//vGPvPrqqx0eGxoayn333cd1112H0dj0NlVkWAgnT5vI6vXbelSAX1VVFsyYJEFbIbqJ0RSAj18MDXU9vws9gNWmERIlF1YKIYQQQgghhBBCCNFXSdhWCCGE6AO+++47lixZQl1d26GZs846i7ffftvpsJUaEod51q2YZtyMXp6FVrQPrTgdrSgdrfQw2BtA+3HpYtUIZn/U8KGoUSmoUSNRo1JQgmNRFPcuAT0wIoyQwIBetUz5z+VkHuK7b2ycccYZ0q1PuETTdSqra6iqqcPucOBwaKiqgkFV8bGYCQsO6lLnwb6gsLTCqePWfbual595nLsefJz45NZdx55ccQ95udk89OzLAOzaupmt69eQk5VBQd5RHA4HL773SavzykqKefPf/yI3K5OqygoMBgMRUQOZffJC5i48zamlxpOGpZCXk+3U7ThOURTGjBnTHKydOXMm8fHxXruPmZCSTHZ+YY++n06KG0S9XwjvZmV5uxSXfJlXw9bSBiZH+HZ5rPSMbApKytxQledsSTvA4IFRBAX4ebsUr7LZ7Xy1YRv5RaVemb+uoZHVG7YxIWUoE1KSO7xvaWxs5PHHH+eBBx5od6WF41RV5frrr+fee+8lPDy81f7YgVGcNHUC327a0a0h4/YYVJWTpk1gUFSEt0sRol/xDYzD2liG5qj3dikduuLqPzJrzmLuvPNOVNW9r4WFEEIIIYQQQgghhBDeJ2FbIYQQopf75ptvWLp0KfX1bX/4ePbZZ/PWW29hMrkexFNUA0p4Emp4EqSc3mKf7rCBoqCo3fd0QlEUUpLi2LBzX7fN6U4r33mT+7ZuYvz48dx9992ceeaZPf5D2EarjeraOhwOBw5NQ1VVDKqKr48Ff18fCQ17iM1uJ+dYEcVlFZSUV1JaUYXdceIOnIH+fkSEBhMREkTMgMh+1XXP7nBQXlXtkbF3bF5P5qH9xCYkYTSayM483OZxjY0N+Pj6sfTciwiPiMRut7NnxxbeeOk5crIyueL6Wzqca0hicofH+Pv7M23atOZw7bRp0wgODnb5dnmKwWBg/tTxrPpuIza73dvltBISGMD0caO4d3fPDpq25+Kn3+ZSQy6LFy9m4sSJnXoMqaqpZUvaAQ9U5152h4M123Zz2pyp/faxptFq44t1Wyguq/B2KexIP4TVZmPq2JQ2/z90Xefjjz9m+fLlZGR03N16/vz5PPHEE4wZM+aEx8XHDGTBzFS+3rC9w8dBTzIZDSyYkUp0ZOtQsBDCsxTFgH/wUKrLdnu7lBN6653P+GL1er5YvZ6tW7fy2muvERTUf56PCyGEEEIIIYQQQgjRH0jYVgghhPAwXddB10BR3R4W+eqrrzj99NNpaGhoc/95553H66+/3qmgbUcUg3e6aCbHxbBlzwGvBi46o7S4iN3btwCwc+dOzj77bMaOHcvdd9/NsmXLekToVtM0CkrKKC6vpLS8kpKKqhMuMe5jNhMeGkRESDARocFER4b3++6qXVVRVUN6ZjaHsvNcDipW19ZRXVvHkaPH2JJ2gKjwUFIS40iIGehUV9XerLyy2mPLjF923c3Nv5+vv/hsu2Hb6JhYrr7pthbbxkxMpaqykg3ffc3F1/y2w/viIUmtw7axsbHMnDmzOVw7duzY5mXWe6qw4CAWzkzl87WbcTg0b5fTLMDPl0Wzp2BTDLyXVentcjqlJmkS99y4nLvvvpuIiAhOPfVUFi9ezMKFC4mMjOzwfF3XWbNtT695DC0oKSM9I5uRyfHeLqXb2ex2vuwhQdvj9h7OQlVVpowZ0XL73r3ceuutrF69usMxEhISePTRRznrrLOcfl48eEAkZ5w0gx+27KKkoqpTtXdFZFgIcyaNJSQooNvnFkI0MZmD8PGPpaE219ultCkrO587736y+euVK1cyZcoUPvzwQ1JSUrxYmRBCCCGEEEIIIYQQwp169qe0QgghRC+iW2vQivejFaU3/9FrC8He2By2xWBGCYhCjUxBjRrZ9CdyOIol0OX5vvzyS84888x2g7YXXHAB//3vf3t8KMtVZpOJYfGD2Zfh2lLr3vbt56vQtZahs927d3PuuecyZswY/vznP3POOed4JXRbW9/Awaxc9h/Jpa6+7Z+ntjRYreQVlpBXWAKAwaCSFDuIlMQhRIT2nE6bvUF+UQk792dwrNh9y4QXlZZTVFrOpl3pDE+IZezwJMymvnV/cFxJheeCk139nQwMCkZRFKfGiYmLJzV1MtOn/9S5NjY2tkvze8vAiDAWzkhl9fptPSLYGejvx+LZU/D39eHVQ+XU2r2/JH1nKCYzfvPOoebjFygpKeH111/n9ddfR1EUUlNTWbRoEYsWLWLq1Klthuyz8wspKOldXX237j3I0PjBmPrY85kT0XSdrzdsp6gHBW2P23MwE1+LmTHDEikvL+cvf/kL//znP3F08Hvu5+fHn/70J2677TZ8fHxcnjc0KJDT589g98FMduw7hOahCyx+zqCqTBo1jFFDE1D7aXdlIXoS34A4NM2Ktb7Q26W0UFBQwjkX3EplZU2L7QcOHGDKlCm89tprLFu2zEvVCSGEEEIIIYQQQggh3Kn/fFolhBBCeICuOXBkr8W++x20nA3ACT741zWwN6BX5OCoyMFx6IsfdyiosVMxjjkfQ8JsFLXjh+fPP/+cs846i8bGxjb3/+pXv+LVV1/tc0Hb4yaOHEZWfqFLwVBvys3KZPUnK9vdv2fPHs4//3xGjRrFn//8Z84999xu6URaXFbBnoOZZOUXuqUrqMOhcTDrKAezjhIZFsKopCEkxg7qt8t/O8Nqs7F5z34OHPFcl64Gq5VdBzLIyM1n9qQxDIqK8Nhc3lJRVevyOZrmaDMcpp/oftwJuq6jaRoN9XXs3bWD9d99xcLTz3bqd9pkMrH662/6TPfEQVERLJ4zlS/XbaHRavNaHaFBgSyaNRk/36aA3xuZvbOr7XF+J51PzccvtNim6zpbtmxhy5Yt3H///YSGhrJgwQIWL17MqaeeSnR0NADpvexCFWjq8JqRk8+IxDhvl9Jt9h46Ql5RibfLaNeWtAOs+/4b7vrjHygt7fgikUsuuYQHH3yQmJiYLs2rqirjRyQTFz2Atdv3eLTr74DwUGZNHNNn7o+F6AsURcE/KBl0DWtDsbfLAUBRTWzaXkDu0bYDwDU1NZx99tnceeed3HfffR57jac5rNjtNeiaHV3XAB0FFRQVg9EXg9EPRfH+SipCCCGEEEIIIYQQQvR2fTOBI4QQQniYXl+Gfe+H2NPeQ68u6OpoaLkbseZuRAkYgHH0ORhHnY3iF97m0Z9++inLli3DarW2uf+SSy7hlVde6dPLxlvMJmZNGM2X67d6u5QOKYrCwCAfBkVHk5t74kDl3r17ufDCC0lJSeHPf/4z559/vkf+H+0OB9v2HiTt0BG3j31ccVkF35VVcDDrKLMmjSXQ39djc/VWeYXFrNm+h9q67gmN19TV89mazYxIiGPymBF9qsttZzqnrrhzebv7wiOjOl3LZx+9ywevvwo0/f6fdvb5LLvoMqfP7wldYN0pKiyEZafMZt32NHILirp9/tFDE5g0chhGY9N9aY1NY2952xeq/Fz+RSOcGj/8z69iGTmVmk9fxbp/K7asfTiK8zCnTCbi7v+0Or5+85c0bPwca2YajrJCDMHhmIdPJPCcGzFGxzs1p3FALGpoFFp5+9/P8vJy3nnnHd555x0Axo8fz+lnLWPI6FSn5uhp0jOzGZ4Q2y8u3qioqmHb3oPeLuOEdF2noKqBisoTB9cnT57ME088wfTp0906f1hwIKfPm05xWQXpmTlkHj2G9ovVAzrDoKokxkaTkjiEyLCQrhcqhHA7RVHwDx6GohhorO/q6/CuUVULgWGjufKqqSQkjuD888+nuLjtEPCKFSvYtm0bb7zxBmFhYV2aV9d1HLZqbNYK7LYa7LYadK3t9wZ+omAw+mM0BWA0BWDyiUB14iJfIYQQQgghhBBCCCFES4rujjZmQgghRD+h6zqOfR9iXfMY2FzvpOg0ky+mmb/DOPrcFh1oVq1axTnnnNNu0Pbyyy/npZde6tNB25/7YesuDmXnebuMExo/IplJo4bR2NjIK6+8wooVK8jJyXHq3BEjRnDXXXdx4YUXuu3/tLC0nDVbd1NZ48Gf318wGQ1MGZPSb4JSHdF1nc179ns07NyRAD9fFs5MJTQo0Gs1uNN3W3aSkZPv1LHrvl3Ny888ztU3LSc6JrbV/rdfeYGy0mIeevblVvtef/FZvv18FS++90m741eWl1FeWkptTTXpabv4atVHzFmwiF9dfb1T9S2dO40BEV0LYfREuq5zOCePjbv2YbXZPT5fUIAfcyaNbfW93FhUxznfdNxJ2npoZ4uvqz94Fuu+TYTf9UqL7caYZFS/AIqWL0ax+GIakkLD9m8xxiS1GbYtvut8DCER+KSejCEqFkdpATUr/4Wj9BgR972NKXaoU7ev9JHradz+rVPHHnfBFb9mwdKzXDqnJ+mrvxs/p+k6n3y3gSIPdmx1p4/feYOP33m91fYBAwbw4IMPctlll6Gqnu+kWN/YyKGso2TlFVBWWY3DheCtQVUJCwkiIWYgw+IHYzGbPVipEMJddF2nsb6AuuojTSvIdDOTJQz/oGRUw0/3Gbm5uZxzzjls2bKl3fMSEhL48MMPGTdunMtz6pqDxoZiGuuO4bB38bWcomLxicTiF43RJB28hRBCCCGEEEIIIYRwllzCLoQQQjhJqz6G9Zv70XI2eH4yWz227/6G4/DXmE/+C2rQIFauXMl5552Hzdb2UtxXXnklL7zwQr8J2gJMHTuS/KJSauu7pzOoq8KCAxmfkgyAxWLh2muv5corr+TVV19lxYoVZGVlnfD8/fv3c8kll3Dfffdx1113cdFFF2E0du7pm67rbN93iJ37D3fq/K6w2R2s25FGVl4B86dOwGI2dXsNPYWmaazZtofDOd4NidfU1fPJ9xs5debkPtG9T8H1EHd0TCzxya2Djb5+ftDxqujtCg4NIzi0KRA4avxE/P0DeP/1V5g1fyFxiUkdnt9XA+mKojB0yGAGRUWweXc6R/IK8MR1nyajgRGJQ5iYMrS5m+3P7S537vHCPHR8i6/VoFBQ1Fbbj4t85BOUH0OFRbef3u64Ybc/iyG4Zed6y6ipFN58CrWfvUrIbx5wqr6ZF1xJTlUuhw87d59uNJmYOf8Up47tqfYfye3zYdt9h7N6TdAW4LSzz2f7pvUczW66eMRkMnHrrbfypz/9iaCgoG6rw9diYezwJMYOT0LTNMqraiitqKSkvJLa+gYcDg2HpmFQVQwGFX9fXyJCg4gIDSYkMKBbAsFCCPdSFAUfv2hM5lBqqw5ht56407b75jXiF5SI2Sey1XO22NhYfvjhB2688UZeeumlNs8/cuQI06dP58UXX+RXv/qVU3Nqmp36mhys9YXouptWQNA1GusLaawvxGAKxDcgFrOlbz/GCiGEEEIIIYQQQgjhDvKJghBCCOEEe/rHNLx+XvcEbX9GO7qZhjfOZfN//8y5557bbtD26quv5sUXX+xXQVsAi9nEqbMm98jwZlPn0MkYfhHgMJvN/PrXv+bgwYO8+OKLJCQkdDjWwYMHueyyyxg5ciSvvvoqdrtrXSE1XWft9j1eCdr+XF5RCZ/+sJH6ho6XcO+LNF3n+627vB60Pa7RauOzNZspKe+ecIInGQw992VNwtBhABQcc+7/va/fj/v7+jB/6gQuWDyfCSnJ+PlY3DJuaFAAM8aP4sLTTmbKmBFtBm0Bdpd55uIMxcmw3i+DtgCGsAEYwgfgKD3m9Hwx0+Zz6NAhDh06xFNPPcWSJUvw9fVt9/i4+ET8/Ht357pjxV1IwfcCDoeDXQcyvF2GS4xGI4uXnQfAGWecwd69e3nooYe6NWj7S6qqEh4SxLD4WGZMGM2CGaksmj2FJXOnsWj2FBbMSGXGhFEMi48lLDhIgrZC9HIGow+BoaPxC0oCxbPPoUyWMIIjJmLxjWr34igfHx9eeOEFnnvuOUymtl+j1tfXc/HFF3Pbbbd1+LrO2lBGZcl2Guvy3Re0/QWHrZqa8n3UVBxE0zy/+oAQQgghhBBCCCGEEL2ZfKoghBBCnICu69i2vID1q7+ArYtLNXaWrZ7R5av448KINnf/5je/4fnnn++3YYHQoEBOnTUZs6nnNOz38/Vh8ewp+Pv6tHuMyWTi6quv5sCBA/z73/8mKanjjpeHDh3iiiuuYMSIEbz88svthq9/Ttd1fti6i4NZR126DZ5SVlnNJ9/3v8Ctruts2LmXzFznw3TdwWa388XaLVRU1Xi7FJfous6hQ4d44403uPXWW3nvnXe8XVK79qftBiBqYLRTx/ek+zJP8vf1YeLIYVyweD4nTZ1AclwMIYEBTvcoNqgqEaHBjEiMY8ncaSw7ZTYpSUM6/P7tr7R2vXg3sxfm4ijOxzg42elz9lc03YcmJydz4403smrVKsrKyvjyyy+57bbbSElJaXH8kKTWXZzbsu7b1Vxz7hKyDh9qc/+TK+7hjuuvbP5619bNvPTko/zltt9y7QVncM25S9od+8M3X+PJFffwf7+5jGvOXcK/n37MqZqOq61v6NOPHVn5hTQ09ryfz46kTpvJJ59+xsqVKxk61LmfMyGEcKfjXW5DIyfjF5SEwejnxsFVLL4DCQqfQGDoSFSD2al6rr32Wr7//nuio9t//vePf/yDBQsWUFRU1GqfptmpqThITcU+dK17HhusDUVUlmzH2lDWLfMJIYQQQgghhBBCCNEb9Y9PcoUQQohO0HUd2/onsW9/xdulAPCHRQMJsKjc8WF+87brr7+ep59+ut8GbY+LDA3htDnT+HztZq8HVQL9/Vg8ewqB/s59yGsymbjyyiu59NJLef3113nggQc6XBY8IyODq666igceeIA777yTyy67rM3OSccDnhk5+W2M4j2VNbV8vnYLS+ZOxdxOx6e+5nBOHvszc7xdRpsarFa+3rids06e2SO7quq6ztGjR9myZUvzn23btlFRUdF8zJSZcxkzebpH5i8tLuLI4YMAFBc0haW3blgLQETkAOKTm8JlK9/+L1UVFQwbOZqQsHDqamtI27mdNV99Tur0WcQ7EXY0m4wE+LXfnbQvUlWVhMHRJAxuCqPY7HbKKqooqaiivqERu8OBpukYDE3Lvwf6+RERGkxoUOeWfq+1ae6+CV2iO+xUPP8nFB8/Ak67wunzau2tb4ePjw8LFixgwYIFPProo2RnZ/P555/z+eefEznEMyHIHZvXk3loP7EJSRiNJrIz23/8Wr3qIwYPSWBc6lTWffNlp+YrqagkdmBUZ8vt0dIzsr1dQqcYjEYGJTgfFBdCCE9RVCM+ftFYfAdit1XRWHcMW2MFuu5qt1YFg9Efi29UUxdbtXNvn0+fPp1t27Zx3nnnsW7dujaP+e6775g0aRIffPABkydPBsBuq6G6vPtCtj+na1ZqKvZh8YvGLzCx3Q6+QgghhBBCCCGEEEL0VxK2FUIIIdph3/pSjwnaHnfj/CiqGzUe+LSAG264gaeeeko+APtReEgQp8+bzrebd1JSXumVGgZFRTB38rhOLYtuNBq5/PLLufjii3nzzTd54IEHOHjw4AnPyczM5JprrmkO3V5++eWYzT91WzqYdZT0HhrwLKusYs3W3Zw0bWKf/xmurW9g46593i7jhCqqa9iRfpjU0cO9XQrFxcVs2bKFrVu3NodrCwsLT3hOdmbbXTjdYX/aLl5+5vEW25579G8AzJh3MlfdeBvQ1Dn0608/ZseWDdRWV2M0mRk0OJYLrvg1805tv9vnz4WHBPf534eOmIxGBkSEMSAizCPjNzp6TthW13Uq/vUnrPu3EXrrkxjCnet+DNDg0Ds8ZsiQIVx77bVce+21vP/lD1RUu7+D9WXX3dwcen79xWdPGLZ9+j/vNR+78YdvOjVfSXlVnwzbllVWUVha7u0yOm1/Zg5jhyX2+4u/hBA9g6IomMzBmMzB6LqO5mjEYa/BbqvBYatF022gH38+oKIoKgajLwZTAEZTAAajP4rinvuz6OhovvnmG5YvX87TTz/d5jFHjx5l9uzZ/POf/+TSS86hpnwfuu5wy/yd1Vh3DF2z4R88zG3fCyGEEEIIIYQQQggh+gIJ2wohhBBtsB/8DNvGZ7xdRpv+uGggQyfM4dL7JWj7S0EB/pw+bzp7DmayPf0wmtY9oSqT0ciUsSMYHh/b5f8To9HIpZdeyq9+9Sveeust7r//fg4cOHDCc7KysvjNb37DX//6V/74xz9y5ZVXYrU72LQ7vUu1eFpWfiFHjh4jMXaQt0vxGF3XWbd9D1abqx21ut/uAxkMGTSAyLCQbpuzqqqKbdu2teham53tenfHooJj1NfV4evXcUfpmfMXMHP+gnb333znPS4df9z41KmMT53a4XEnEhEa3KXzRe+h6zqVz99F/dr/EXL9g/imnuyxuTRNo7Km1iNjuxKudEcQs6yyqstj9ESHsvO8XUKX1NY3cKy4jJgBEd4uRQghWlAUBYPRB4PRB7OPd+6jzGYzTz31FKmpqVx33XU0NDS0OqaxsZFn//kYp52SiNncM96utzaUoOs6ASEj5H0HIYQQQgghhBBCCCF+1DPevRNCCCF6EL22GOt3D3q7jBM6NzYfvaYQJXCgt0vpcVRVZdyIZOIGDeCHrbs93uV2UFQEsyeNcfvS7waDgYsvvpgLL7yQd955h/vvv5/09BOHZ7Ozs7nuuuv461//yp8f+gequecvR79+516iI8Px7UQ34N7gcE4euQXF3i7DKTrww9bdnHXyTAwGg9vHr6+vZ+fOnS2CtR0FyZ2l6zrZmYcZMXqsW8bzFgnbep7FoALe7RZ3PGhb9/0HhPzmAfxmn+HyGD4G50MvNrsDXe+4E+7PaZoDh6P190nHtXHcLW3vPtZ8/jH+/v4EBAQ49Xdv6LZaXFbh1HHrvl3Ny888zl0PPk588tBW+59ccQ95udk89OzLAOzaupmt69eQk5VBQd5RHA4HL773SZtj2+12Pv3gHdZ9u5rK8jIiogYyf9ESTj7NuZ/P4vIKCdsKIcQJXH755YwZM4Zly5aRk9Ny9ZGUEYm8/d9HekzQ9jhbYym1VYfxD0qWwK0QQgghhBBCCCGEEEjYVgghhGhB13Ws3z4AjT28c5q1Bus392M542n50KsdoUGBnD5vOtn5haRn5nCsuNSt48dFRzEiMY7BAyI9+n9gMBi46KKLOP/883nvvfe4//772bt37wnPiR8+slcEbQEarTbW70jjpGkT+9zPskPT2LJnv7fLcElFdQ0Hso4yMmlIl8ax2WykpaWxZcsWtm7dypYtW0hLS8Nu90yH36ioKDRrvUfG7i6KojAwPNTbZfR5/ibvBi91XafyhT9T9/0HBF99L37zzunUOP5G529HW6HZjqy4c3m7+8Ijo1wez13yj+Xz8L33unSOr6+v08Hctv5ub5/R6J63UzRdp7TCM887d2xeT+ah/cQmJGE0msjOPNzusa+/8E82/PANZ114KfFJQ9m7aztvvfw8DfX1LDnngg7n8vTFTUII0RdMnDiRbdu2ceGFF/L1118D4Otr4ZUXHyAkJNDL1bXNWl+I0RSIj59c6CuEEEIIIYQQQgghhIRthRBCiJ9xHPgUx5EfvF2GU7Sc9Tj2fYRx1DJvl9JjqapKwuBoEgZHU15Vzf7MHA5l52HrZODPx2xmWMJgRiTEEejf8XL17mQwGLjgggs477zzeP/997nvvvtIS0trdZzZYuHcS67q1tq6Kiu/kGPFpQyK6lsd8bLyCqhvtHq7DJelZ2aTkhjndPhZ0zQOHjzYomPtzp0721wi1x2Cg4NJTU1l8uTJzX/HxsZS19DI259963IHz55iyKAB+Pn6eLuMPm9EsJn0ika3j2vN2IOjJA8Avb4GTdep3/Q5AKbEMRgjYwCoeuUB6r59D79552CKG4b10M7mMRSjGVPCSKfmGxHifDfwzvxGXH3TcqJjYlttf/uVFygr9V63blVxPSxdX19PfX09xcXurdtisXQ6qPvzvxWjCXsnAtHOuOy6m5s7+77+4rPthm3zcrNZ+82XLLvoMhad2RQAHzF6LLXVVXzy/tvMXXgaAYEnDoGVVEjYVgghnBEREcHnn3/OnXfeySOPPMIff38NyUmtH3N7krrqI5gsIRgM8lxVCCGEEEIIIYQQQvRvErYVQgghfqRba7D+8LC3y3CJde1jGJJOQvGRpcc7EhoUyPTxo5gyNoXyympKKiopLa+kpKKK8qpqHA6txfEmo4HQ4CAiQoKICA0mPCSYkEDvL0etqirnnXce55xzDh9++CH33Xcfu3fvbt4/dfY8/AMCvFhh56Rn5vS5sG16Zra3S+iUiqoaCkvLGRgR1mqfrutkZ2e3CNZu27aN6upqj9Ti6+vLxIkTm0O1kydPJjk5uc3fQ39fH4YMGkBWXoFHavG0lMQ4b5fQL4wN8+HDbPf/vNZ++Tr1P3zUYlv5478DIOS6FRjnng1Aw/ZvAaj77n3qvnu/xfGGiEEMeOobp+YbF+p82MVocP1xKzomlvjkoa22+/r5gXsbxbvEau05FzA0NjbS2NhIWVlZl8aZNns+19zyf26qqiVnn7Ps2LwBXdeZOf+UFttnzl/AD199wd6d25g6e94Jx6ita6Ch0YqPxdzZcoUQot8wGo08/PDDnHzSDCaNbf2cu8fRHdRWHiYwdFSfW41ECCGEEEIIIYQQQghXSNhWCCGE+JF9/yfQ6JllfD3GWoM9/WNMEy71diW9hkFViQgNJiI0GBJ+2q7pOg6HAwUFg0Ht8R8iqqrKOeecw7Jly1i5ciX33XcfO3fuZP6pS7xdWqdk5xdSW9+Afx/p7FlWWUVhSbm3y+i09IxsBkaEUVBQ0Byq3bp1K1u2bKGkpMQjcxqNRsaOHdscqp08eTIjR450aan2lMQhvTJsGxzgT3RkuLfL6BfGuhBS/bnQ6x+E6x884f7QE+w/ztkwbUfGhLkStjW4Zc6eoLHRMx2zvWnAoBiXz9E0B442uuHqnepjDPk52QQGBRMc2jLwNXhI0xOlvBznLh6prKmVsK0QQjhJ1x1MnTQYzdE7Htvs1goa6wvx8Rvo7VKEEEIIIYQQQgghhPAaCdsKIYQQNHVrtO95x9tldIp9z7sYx1+M0omllcVPVEVBdSHU11OoqsqyZcs466yzeH/l/6h09L7bAE2/gweO5DBx5DBvl+IWB47keruELjmcfZTrLr+IgwcOeGR8RVFISUlpDtWmpqYybtw4fHy6FraOjgwjJDCAiuoaN1XaPVKShvT4gH9fMTrUBwU6GUnsOca6ELY1GAwE+vtRXVvnwYq6R35u7+wYfiJmi8Xlc1bcubzdfeGRUS6PV1NdjX9AYKvtFh8fjEYjNTXOXYxmt7cOAAshhGhbY11hrwnaHldfk43FN0reexBCCCGEEEIIIYQQ/VbvTGMIIYQQbqblb0Mvy/R2GZ2iV+ai5W7CEDfd26UIL1IUhciYIVTm5Hm7lE7bfySX8SlDUftA6PBYcdeWFfc21WDANzDEbeMlJiaSmpraHK6dOHEigYGtg11dpSgK08al8PnaLW4f21NCggIYkRDr7TL6jQCTyqhQC2nljd4updOG+JsY6OvaS/mI0GCPhG1Li4s4cvggAMUFxwDYumFt05yR/8/efYdJVR1uHH/vnbq9L2VZylKXjgUbKNhNIpZYEwVrNBpLsERjjSb2np8l0QhqMNhbLLHHjgWkSO9tYXvf6ff3h5G4AXZndmf2bvl+nocn7J1zz3kvhmV25p1ze2ngkKE7xq74brHqamskSZFIRBVlpTvGDh85RmkZGa2ud8ctf9LjD96vhoYG1dfXq76+fsfvY/3fH//e57Ov7ORyuWI+5+yLLlOfgp2/bzwz+1FVVpS1LUgL//QaLT34I+EIZVsAiIZlWfI1ltgdI2ZWJKiAr1yepNg/2AEAAAAAAAB0B5RtAQCQFFr0nN0R2iW06BnKttDW0nK7I7RLk8+v6to6ZWek2x2lXULhcFQ7q376wTua9eB9uva2+5oV0n7wwC03asumDbr94VmSpIVff6mvP/tYG9ev0bYtmxUOh/XY86+3us7SRQt0z03XSpLuffxppaW3XmiTpAFFQ7Tw63lRjf2xPn367CjV/rBrbU5OTszztFVBrzwNH1TYJXYXNgxDB+41Vg6Hw+4oPcovijL0+29K7Y7RZr8YHN3f4R/LzUzXus3xL/UsX7JQsx68r9mxR+6+VZK0/5RDdNZvZu44/sozc7Ry6eIdX6/4brFWfPf915ffeKtGZIxtdb1eudlKS0lWZmZm+8P/SDgcVkNDQ0wF3Wj+t6GhIaq1Y9WnoHCX/24kJSdLFTFPp9S0NG1av/OHzvw+n0Kh0C53vd0Vk50OASAqoUCNIuEmu2O0ib9xG2VbAAAAAAAA9FiUbQEAPZ4VCSm8/iO7Y7RLeMOnssIBGQ633VFgk8Ymnxp9re/UmKiCZ3npdl11wVm7XPNXl16piZMOiuo6yqtqu3zZtrK6VpYV/5vUL/jyM61dtVyFgwbL6XRpw9rVrZ7ja2rSk4/8WZnZOaqujK2BNWDwkFbHZGVl7VSsLSgoiGmdRJg4ZoQ2by9TQ2PnvjXv2GFFysvKtDtGj/PzgRm6ZWG56kMRu6PEzG0aOrWoDWXbrOjOOWDqYTpg6mG7ffzi398Y0/gfu/Km26Iatzset0upyUntmmN3HA6H0tPTlZ4e339/IpGImpqaWizqNlr2l+0L+g/Ul59+pJqqSmVkZe84vnnj+v88PiCqeRwOyrYAEI2uuKvtD0LBWoWC9XK6Uu2OAgAAAAAAAHQ4yrYAgB7PqlovhaIvZC3e0qSH/l2mj1fVq6Q2KEkqyHTpoKFpOnP/HO3RP1mStKUqoPveL9WizU1avLVJNU0RPfLLQp2+T/MdHjdU+DXyD8t2u96hI9L0ygWDWw4VCcmqWC0jf2TU14Hupby6JiHzxlrwPPioo7XP5CnNjvXq0zfq9SqqayT1a0PSziNR/y2mn3+xTPP7ItOcxx6Oqmz7wpzZSk5J1dg99tY/X5gb03oDipqXbVNSUrTHHns0K9cWFRXJMKK7vXhHcrtcmrzHGL31yVd2R9mtzPRUTShuvdCM+Et1mTphULpmr6q2O0rMflaYphxv7D/G52ZlyDQMRRLwQYCOkp+d2Sm/37TENE2lpKQoJSVFvXr12uWYxSvX6svFyzs4WXPjJ+6rl+c+pc8+fE9HHXfijuOfffCu3G6PRo3fM6p5PG5XoiICQLcRCQcU9LdhG/JOxN+0nbItAAAAAAAAeiTKtgCAHi9SujTqsX/7tFwzn9usob28umBKnop7e2UY0optPj03v1qT71qpxdcVqyjPozXlfj37dZXG9EvS4SPT9dw31bucs3e6Sx/8ducdRl9bXKN73i3VtHHR7UYXLl0qk7Jtj1VeVZuQeWMteObk5mnwsBFtXq+8KvqiaiQSUSQSUTgcbvFXa2PiMcePxzjTcuRKjX3nydb88N8hWiuXLtFH776l399yt779al7M62VmZeviSy7VhPHjtPfee2vEiBFyOOzfgTFaBb3ytPfoEfpqib0ltl1J8rh12H57dqk/z+5m+pDMLlm2nT40s03nuV0uDezXW2s3dd2d9IYNLLQ7QkIkcjf3irJSrVu9UpJUtu37//Zff/6JJCk3r9eOHe4LCgdo0sGH65Vn58g0TQ0cMkzfLZyvj959S8eecrpS09JaXcthmspMo3gFAK0JBevsjtBuoUBiPlwIAAAAAAAAdHaUbQEAPV60ZdvP19br0mc368hR6Zpz1kC5nf8tvk0ZlqbzDszTiwuqleT+/vikwanacOsYSdL8jY27Ldt6XKYmDkrZ6fgNr5Uo2W3qxD2yoryO3e+Oi+6vsiYxZdtYC57ttWVbqQoKCqIquHZW5156pfaZdFDU4yORXV+PpbbvQBnw+/XEw/fr0J8eowFFQ9pUtpWkm//4R6Wn7vz9qasYO7xIgWBQC1essTvKDm6XU0dOntil/1y7g+EZHp00KF3PrkvM985EOKIgVXvleNt8fnHRgC5btk1O8qp/n3y7YyREblbiyrbLlyzUrAfva3bskbtvlSTtP+UQnfWbmTuO//LcC5SZnaP33nxNtdVVysnvpVPO/JUO+cm0qNbKzkjr8OcMANAVhYL1UY899fQr9cWXi/XJ+7NVUNB8h/SqqlodMOV0DRjQV7fefKnmzH1dn3+xUBs3lSg5yavi4iL99uLTdeCk5ruTL1+xTo/NelGLl6zS0qVr1Njk0ysvPKBJ+0+IOlc41CjLCssw+OAYAAAAAAAAehbKtgCAHi9SFt2uh3e+XSqHaeiBkwubFW1/7PgJmTt+b5ptv9Xx2jK/Pl5Tr19OzFZ6UnRvYFG27dn8gWBM4xNR8JSkN19+Xi/+40k5TIf6Fw3Wkcf8XOP33jfq811ut0rLyhQKxnY9nYnb7Y5p/C2/v2y3j+Xkta1c9vLcpxSJRHTMSb9s0/k/CIUj7Tq/M9hz1DCZpqkFy1bZHUVJHreOnDwxoTtZIno3TMjXR9sata0pZHeUVmW6Td22Vy8ZRtufW/TKyVJWepqqarvejnojBhV22yKnx+1WWnKS6hqbWh17wNTDdMDUw3b7+MW/vzGm8T/mdDp1zMm/1DEnt+3fjZys+O/oDgDdUTiGsu19d/9Ok6bM0CWX3a7n597T7LHfXXOv6uub9OD912j2k69o/oJl+uUpP9GoUUPU2OjT7Cdf1nEnXqoH779Gp5x05I7zFixcrjfe+lhjRw/VgZP31Ftvf9rG62iQ081zWgAAAAAAAPQslG0BAD2e1VDe6phwxNJHq+q0R2GS+mS4Ep7pyXmVsizpjP2yoz+psSxxgdDpxbrTa7wLnk6XSwceeoRGjp2gjKxsVZaX6b03X9P/3X6zpp9/sQ489Iio53K53F26bKsYy3BnX3SZ+hTsfHv0Z2Y/qsqK2P9er121Qu++/oouvfYmuT2emM9vrn3l687AMAztMXKovG6X5i1apohlzzVlpKXosP32UkYaO9p2Fpluh27fu5dmfLTF7iitunmPXspPat+P74ZhqHhwf3224Ls4peoYhmFo+MCdv0d2JzlZGVGVbTuz3EzKtgDQGsuyFApFX7btlZ+jO2+bqbPPu0Gzn3xFZ0w/RpL0zzc+0gsvvas7b5upokH9dNGFv9BNN1zY7NzDDtlXUw8/W3fdO7tZ2fbkE47QqScdJUl69Z8ftLlsGwrWU7YFAAAAAABAj0PZFgDQ41khf6tjyutDagpaKszeecfKcMTSj7tbDlPt2nkuHLE0Z16lhvfyaL+i1KjPs0KBNq+Jrs+KsUAY74JnZla2pp9/cbNje+43SbdcPVMvzpmtA6YeKocjul2au/ruhcFA699TfqxPQaEGDhm60/Gk5GSpIvb1Zz90v/bYZ38NHDxUjQ3fv5kfDH7//cHX1CiXyyVvUnJUczmj/G/WFYwcMlC983L08dcLVV5d22HrGpJGDyvSHiOHdqs/z+7i0L6pOmFgup5f33H/n4jVEQWpOm5AWlzmGjqgn5asXKfahsa4zNcRRg4eoOQkr90xEqqgV67Wb9lmd4x26Zufa3cEAOj0rEhQViS2DxUeO+1gvf7mR7r+pgd18NSJSk1J1uW/u0tTDtxbZ804TpKUl5u103kOh0Pjxg7X8y++0+x4vH7WCoe6znMJAAAAAAAAIF4o2wIAEOObXf/rgDtXaPEW346v/3RMX116SNtu/S5J7yyr1daaoP40pW9sJ7bzOtC1RVtk/UG8C5674nQ6tff+k/XCnNnaXrJFffv1j+q8H4qhXc5ROZ4AALmHSURBVJW/ydf6oATaummDtm7aoK8//2Snx66+8BwVDhykG+76v6jm6m7l0OyMNB09dX8tWrlWC5auSvgutxlpKTpwr3HKz85M6Dponz/uma8VNX4troqtKN8RhqS7ddfEXu36EM+POR0OTd5rrF7/9xdxmS/R0lOTtdeo4XbHSLjBhX315aLlCoZCdkdpk8Le+UpLSbI7BgB0epYV291IfnDHLTP16eff6qLf3qbcnEwFgkE9cO9VLZ4TCoX0xbxFGjFsYJvWbE1brwUAAAAAAADoyijbAgB6PMPhavVG6bmpTiW5DG2q3LkEOGv6QDUFI9pWE9SJj65rd54nPq+Uy2HoFxN33p2mRY6dd91Fz9FZS5HWf/52mUb0OyhNmzZNDtOUw+GQw+GQ+aPft/QrmnEdMdeW8mqt2rw9UX+krbr8xlt3OvbZh+/qsw/f04VXXqus7Oh2H/S4XUryeuIdz3amaWr8iCEa0LeXFq1Yq3WbSxSOROK6RlpykkYUDdDIIQM67d9N/Feay6E5B/XTce9t0pq6zlP275fs1D+m9FO2J74/tvfOzdaoIQP13er1cZ03EQ7cc6yczu7/d8jldGrogAItXbPB7ihtUjw4ug/TAEBPZ1lte86ZlZWuB+6+SiefdoUk6eE/X6uCvi1/wPf2u2Zp7brNemrWLW1aszVtvRYAAAAAAACgK6NsCwCAo/VbEztMQwcNS9N7y+tUUhNUnwzXjseK+3x//oaK9u+IV1oX1Jvf1eqno9OVn+Zq/YQfMSjb9mgZaanaUlpud4xmQqGQvvr0Y6Wmpyu/d5+ozslITdFzzz6b4GSJlZxemZCybUVZqdatXilJKttWIkk7dq/Nzeu1Y6fiEaPH7nTuiu8WS5KGjBiptPSMqNbLycyI226anVFWepoO2nuc9hlbrJXrN2v52g2qa2xq15yFvfNUXDRABb3zZHbjP7vuKMfr1HMHF+oXH27S8hr7C7cDU12aO6VQfZNjey4Qrb1GDdemklLVNnTeW0CPGjJQvXKz7Y7RYYqLBnTJsm1acpL69cqzOwYAdHuHHrKv9tpzlKqqanTSCUe0OPapOa/pnvuf1IXnn6KfHDk5QYkSe4cIAAAAAAAAoDOibAsA6PGM9D6yaje3Ou7yw/L19tJaXfLMJs05e5BcjvgXqZ7+skrBsKXp++XEfK6RFl2ZEd1TblZ6QuaNtuD5zOxHFQ6HNGT4SKVnZqmqolzvvfmaNq1fqzMvvFRmlLt75iToOjpSTmZirmH5koWa9eB9zY49cvf3u9juP+UQnfWbmXFdL1H/n+psvB63xg4v0phhg7StvFJlldUqr6pReXWt6looIjpMU9mZ6crNTFduVob65OUoLSW5A5Mj3nolOfX8wf115sdb9FV5+4rX7TE6y6OnDuyn/KTE/bjudDo0dZ8JeuOjLxQMdb7bQOdlZ2qvUcPtjtGhMtNT1TcvR1vLKuyOEpPiwQO69QczACCejBju9rErHrdLLlfLH8SZM/d1zbzyLs04bZr+cP0F7VqvJe29FgAAAAAAAKAromwLAOjxzLxiRTZ/1eq4/YpSde+J/XTZ85u1/x0rdNb+OSru45VpSNtqQ3rl22pJUrr3v286vbTg+2Pr/rPr7YKNTUp1f3/suAmZO63x5BcV6pfl0mEj0mK/jvyRMZ+D7iM3K7rdSmMVbcGzoHCA/v3Om5r38b/la2qUJylJg4YM02+vvVmjxu8R9Xq5mYm5jo7kdjmVkZqimvqGFscdMPUwHTD1sN0+fvHvb4xpfEuOOfmXOubkX8Z0Tnf4bxELwzDUJy9HffL++2EHfyComvoGhUJhhcNhGaYhp8Mht8ulzLQUmSYlg+4my+PQ8wcX6i8rKnXX4goFIh23a5vTkC4amaOLR+bInYAP9Pyv3KwMHbrfXnr7068UjnSeW0FnpafpiAP2ltMZ3Yc0upN9xo3UK+9/qkgn+u/Rksy0VI0cPMDuGADQZRhGYv9tmzP3dV162R065aQjdfcdlyf0wxCJvhYAAAAAAACgM6JsCwDo8cz84qjHnjMpVxMHpeihD8v0fx+WqaQmKMOQCjJd2mdQil7/zWBNGfbfouxps9Y3O/8vH5frLx+XS5IaJoxv9tgXaxu0YrtfVx/ZS6YZ+5tisVwHup+MtFQ5HQ6Fwi3vUJioguekQw7XpEMOjyprSxJVGu5ovXKzWi3bdnb5OVl2R7Cdx+1Sfnam3THQwZymoQuLc3RY31T9dt42fVvpS/iaxRlu3bdvH43O8iZ8rR/rm5+jQ/ffU+99Pr/Vfz86QnZGuo6ctLc87pZ37euusjPSNKF4iL75bqXdUVplSDpwr7FyRLlzPQBAMkyXDMMpywrFfe6nn3lDl152h078+eG6/+7fJXzXcYczJaHzAwAAAAAAAJ0RZVsAQI8Xa0l1bEGSHvll/6jGNjwwPup59y1KiWn8/2Jn257NNAzlZmVoW3ml3VHazDQM5WSm2x0jLoYNLNTK9ZvtjtFm/XrnKSWpY0t/QGczLMOjVw7tr1mrqvToiiptaYx/MaaX16Ezh2XpvOHZHbKb7a7065WnIydP1Nuffq1AMGhLBknqlZOlw/bfq8cWbX8wdliRNmzdrvKqGrujtGjM8CLl8WEEAIiJYRhyuFIVClTHdd5XXvtAl8y8XWNGDdEZp0/TNwuWNXt87Oih8njckqTGRp/eff9zSdLX3yyVJH32+beqrKxWclKSDj1k36jWdLhS43gFAAAAAAAAQNdA2RYA0OMZGYWSJ03y19kdpe2cXhlZA+1OAZsNHdCvS5dtBxb0ltvVPUpW+dmZys5IV2VNrd1R2qS4iNuCA9L3u9yeOzxbZw3N0nslDXpydbU+KGn/rtX75ydrxtBMHVGQKlcbdrOPt145WTr+sMn6dP5ibdpW1qFrm4ahCSOHauywIpmm2aFrd0amaerAvcbqlfc+VTgSsTvOLmWmpWqP4qF2xwCALsmZgLLt2+9+pkgkooWLV+qoaRfs9PiCL59V/8I+kqTyiiqdee71zR6//a7HJUmF/Xrr26+ei2pNJzvbAgAAAAAAoAcyLMuy7A4BAIDd/O/frPB3L9odo80cI34mz2E32x0DNguFw/rH6+/bujNhe/z0oH3VOzfb7hhxs3zdRn06f4ndMWKWmpykE4+cIjPBt54Fuqp1dQG9ublOCyv9Wlzp04aG1r/nhsq2aJ+CLB06vL+O6peqoRmeDkgaO8uytHrjFn2xcKkCwfjv5Pu/cjLTdeBeY5Wd0T12NY+ndZtL9MG8BepsL9gkez366UH7KT012e4oANAlBXzlqq9ebneMdnE4k5WRu4fdMQAAAAAAAIAOx862AABIco05qUuXbZ1jTrI7AjoBp8OhYQP7acmqdXZHiVlWeqp65WTZHSOuBhf21VeLl3dIYS2eRhT1p2gLtGBQmlsXFOfs+Lo6ENbiSp+2NobkC0e0ev1G3XPHbbKCAUUqtyu4/jtF6qo17dFHdc6oCTYmb51hGBo6oJ/65ufqq8XLtXZziRLx+Vyvx63RQwdpzNBB7Ga7G4P69VEwFNLH3yy2O8oOHrdLR0yaSNEWANrB6UqzO0K7OV18SAYAAAAAAAA9E2VbAAAkfbW2WmaZqVF5nfN2vS0x8opl9hptdwx0EsVF/btk2ba4aICMblbwdDmdGj9iiL5c3HV2rkpJ8qq4qL/dMYAuJdPt0OTe/72V8vb0gP747tydxm3cuLEjY7VLSpJXUyaO18SxxVqxbpNWrNuohiZfu+ftlZOl4sEDNLBvLzkcjjgk7d6GDSyUaZr66OtFCSk9xyLZ69GRkycqK73rl8QAwE6mwyOXJ0tBf5XdUdrMk9zL7ggAAAAAAACALSjbAgASwrIsKeyXQn7JsiSnR3J6ZBida/eyjRs36uqrr9bTTz+tU/bK0t+mD7A7UsxcY07sdiVFtF16aoqG9C/Q6o1b7I4StdTkJA0ZUGB3jIQYNXSQ1m3ZprLKarujRGXSHmPkdrnsjgF0afn5+fJ6vfL5mpdTN2zYYFOitkv2ejSheIjGDS/SxpJSbdpWqvKqWlXV1kVV/nS7nMrJzFBuVoaG9O+r7Ax2wovVkP4Fcruc+ujrRfIHgrZkyM5I1yH77sGOtgAQJ57kPl22bOtwpXaL3XkBAAAAAACAtjAsu7dHAQB0eVY4KKtitSKlSxUpXaZI2VJFyldLkf8pBBimjKyBMvOKZeaPlJlfLDNvhAxXUodnrqur02233aZ77rlnRxnG7TT07TXFGpDj7vA8bWWk5Ml7+iu2/Bmi8/IHAnrhnY/V5PPbHSUqR02eqL75uXbHSJjq2nq9/N4nCkc6987Zwwb20+Q9x9odA+gWhg8frpUrVzY7dtBBB+nDDz+0J1CchcJhVdXUqaK6Vk1+v8LhiCKRiBwOhxwOU+kpycrNylBaSjIfCIqTRp9fny1Yog1bt3fYmoZhaPyIIRo/YrBMs3N9YA4AujLLslRT/rUi4a7x89qPpaQPZWdbAAAAAAAA9FiUbQEAbRap2aTQ4ucVWvaK5Ktp2yQOjxzDjpRzzIly9BoV34C7EA6HNXv2bF177bXatm3bTo9PHZaqf/5mSMJzxIvn6AfkGDjZ7hjohDZs3a53P//G7hitGlHUXwdMGG13jIRbtGKtvlqy3O4Yu5WS5NXxh01mV1sgTg4//HC98847zY4NHDhQ69atsykRugPLsrR2c4k+//a7hO9ym52RrgP3GqucTHYjBoBEaGrYrKa69XbHiIlhOJWZv7cMw2F3FAAAAAAAAMAWTrsDAAC6FsuyFFn/sYKLnlFk42ftnzDsV3jZKwove0Vm/ig5x54kx7AjZTjiv7vs+++/r5kzZ2rhwoW7HfPByno99km5zpnU+XfZdBRPo2iL3RrQt5cG9++rNRu32h1lt1KTkzRxzAi7Y3SI0cMGaXtFpTaWlNodZScOh6mp+0ygaAvEUf/+/Xc6tnnzZoXDYTkcFFTQNoZhaHBhX/XNy9F3a9ZrxbpN8vkDcV0jOyNNxUUDNGxgP3azBYAE8ib1kb+hRJFI19ndds2GWu3Vi+cxAAAAAAAA6Ll45wQAELVI7Vb5Xz5f/n9eEp+i7f/OX/qdAu/eIN/cUxXe/l3c5l2xYoWmTZumQw45pMWirSSlpqbKP+4cKbVz3xbRSMmTe/LldsdAJ7ffuFHKSEuxO8YuOUxTUyaOl8vZMz77ZRqGpu4zQX3ycuyO0oxpGDp03z3VKyfL7ihAtzJgwICdjoVCIZWUlNiQBt1NktejvUYN1ylHTdWUiePb/T3c/E+J92cH7atjD5mkEUX9KdoCQIIZpkMpGUPtjhG1z774VhP3PVKXXHKJfD6f3XEAAAAAAAAAWxiWZVl2hwAAdG6WZSm05HkFP71PCjZ2zKKGQ849Zsi1z3lt3uW2srJSf/jDH/TQQw8pFAq1vJxh6Oyzz9bNN9+s3r17K7z5K/lfuUCKtHyeLQxTnqP/LMeA/e1Ogi6gvrFJ//z352po7DxviBqGocP221OFffLtjtLhgqGQ3v3sG20tq7A7ihymqYP3naD+fTr3hwuArujJJ5/UjBkzdjr+ySef6IADDrAhEbq7mroGlVZWq6K6RuVVNaqorlUoHN7lWK/HrdysDOVmZig3K0O9crLk9cT/rhIAgNY11KyWv2mb3TFa1Njk04EHn6F167dIksaNG6d//OMfKi4utjkZAAAAAAAA0LEo2wIAWmQ1lMv/9jWKbP7SlvWN7CJ5jrhNZm70O74EAgE99NBDuummm1RVVdXq+IMPPlj33HOPxo0b1+x4aOWbCvzrGkmd659K96F/kLN4mt0x0IXU1jfozY+/VH1jk91RZJqmpk4cr4EFve2OYptwOKwPv1qo9Vvse1Pd7XLq0P327HQ77QLdxYcffqipU6fudPzpp5/WqaeeakMi9DQRy1JDY5NC4bDC4YgMw5DDNOV2OZXk9cgwDLsjAgAkWZGQasoXKBLx2x1lt66+9j799W8vNDuWlJSk+++/X+ecc06H/ZsSCQdkWSFZVkSSZBimZJgyTf5dAwAAAAAAQMegbAsA2K1I7Vb5Xz5fVs0me4N40uQ5+gE5+oxvcZhlWXr11Vd1xRVXaNWqVa1OO2zYMN1111362c9+tts3ZkLfvajA+39UZyncug66Wq6xJ9kdA11QQ5NPb338parr6m3L4HQ4dOh+e6qgV65tGToLy7K0cv1mzVu0TMFWdt6Ot3698jRpj9FKSU7q0HWBnmTdunUqKira6fitt96qq666yoZEAACgswoF61RbuVj6T4m0M3n51fd1zvk3andvIZxwwgn661//qqysrLiuG4kEFQrUKhSsVzhUr1CwXlYkuOvBhimnM1UOV6qcrlQ5XWlyOPlZBwAAAAAAAPFH2RYAsEuRms3yv3C2rIZSu6N8z+mVZ9r/yVGw5y4f/vbbbzVz5kx98MEHrU6VlZWlG2+8Ub/+9a/lcrlaHR9a+aYC71wvRTq2ENeMYcp9yI1yFh9tXwZ0ecFQSF8vWaGlazZ0+Nq9crN04J5jlZ6a0uFrd2b1jU365JvF2lJanvC1XE6n9h1XrKED+rHzE5BgwWBQXq9XlidZroEj5SwokuFJ1j4HTNKxx0yTx2Eow+XQqCyPhmd45DL5OwkAQE8W9Ferruo7dZYP+kqS052pZ174TJdccqmamnZ/l5TCwkI9/fTTmjRpUrvWsyxL4WCdfI0lCvjK1Z4/C6crXZ7kPnJ7c77fARcAAAAAAACIA8q2AICdROpL5X/hLFm1W+yO0pwrRd7j/yozf+SOQyUlJbr22ms1a9as3e608gOn06nf/OY3uu6665SdnR3T0uEt3yjw7o2yaje3KXp7GGl95D7kRjkKJ3b42uieSsoq9PHXi1TXuPs3TOPF4TC19+gRGjl4AAXP3bAsS6s2bNa3y9eorqEx7vObhqFB/fpo79HD2c0WSLAKX0gvb6zTN+VNeuWbZVJev1bP8ZiGijM9GpPt0aReKTq8b6rcDr5fAgDQ0wT9VaqrXtYpdrh1ebKUmjlChuHQ0qVLdcopp2jx4sW7HW+apq6//npdc801cjqdMa1lWZYCTdvlayxRONTQ3ujNGKZLnqRe8ib3lelwx3VuAAAAAAAA9DyUbQEAzVjhoHzPzZBVtszuKLuWlKWkXzynJiXpnnvu0W233aaGhtbfjDnmmGN0xx13aNiwYW1e2go2KfjZ/QoteqbNc8TKOfrnch3wWxludgNFfAVDIX3z3UotX7dR4XBi3szt1ytP+40fyW62UbIsS1u2l2vZ2g3aVFLa7j2tUpK8GlHUX8MHFirJ64lLRgA7syxL31T49MSqav1zU50Ckfb97c33OvSLwZn65eAM9U1ufQd+AADQfQQDtaqvWirLsu/OOm5vnlIyhjbbEdbn8+nKK6/Un//85xbPnTRpkubMmaP+/ftHtVYo2KCGmlUKh+rblbk1huFUcnqR3N48PgQKAAAAAACANqNsCwBoJjjvLwp++YjdMVq0xTVUB//pc23e3Pous+PHj9c999yjqVOnxm398OavFXj/Jlk1m+I25/8y0vvKPfU6Ofrvm7A1AEnyB4JatWGzlq3doNr69u+q6nY5NXRAPxUX9VdGWmocEvZMdQ1NWrtpi8qqalReVaOGJl+r5zhMU9mZ6crNTFdBrzwV9s6TaXLLVCCR3t5Sr7sWl+u7an/c53YY0hEFqbp6XJ6K0tiJDQCAniISDqihdrWC/soOXTeaQuprr72mM888UxUVFbudJzMzU4899ph+/vOf73aMZVnyNWxWU/1Gqd0fM4yey5OtlPQh7HILAAAAAACANqFsCwDYIVK2Qr5nT5Mi9u2gEq3ps9brhQXVu328d+/euuWWWzR9+nQ5HI64r2+Fgwqv+0ihxc8qsvnLuM1rFuwl55iT5CiaIsPBbnboOJZlaWtpudZs2qryqhpV19ZH/ZZnSpJXuVkZKuydr8GFfeV0xv/vXE/X5POrvLpGNXUNCkciCofDMk1TDtOUx+1WTma6stJTKdcCHaTKH9b187frxQ11CV/L6zB01dhcnT0sSyY7sQEA0CNYlqWAr1yNtWs6ZJfbWEqoW7du1emnn67333+/xXHnnnuu7rvvPiUnJzc7Hg77VF+1POG72e6OYTiVkjFUbm+OLesDAAAAAACg66JsCwCQ9H151Pfs6bLKV9gdJSrl9SHtfetyldY1f9PJ6/Xqiiuu0JVXXqnU1I7ZVTNSuU6hJc8pvPo9WQ2lMZ9vpOTKUXSInGNPlJk9OAEJgdiFQmFV1NSqoqpGtQ2NCocjCkd+KHg6lOR1KzczQzlZ6UryeOyOCwAd5l+b6/S7r7erzBfu0HUn5ibp7n16s8stAAA9SCQcUFP9BvmbyiRF4j6/w5ksb0qh3N7c3e5muyvhcFh33nmnrrvuOoVCuy8DFxcX6x//+IfGjRv3/XmhRtVVLlEkEmh39vZKyRgmT1K+3TEAAAAAAADQhVC2BQBIkoIL/q7gJ3fbHSMmT31RofOf3rTj69NOO0233HKLCgsLbctkNZQrUrpMkbKlipQuVaRuuxQOSOGg5HBJDreM1F4y84u//5VXLDOVN3cAAOjsIpal6+eXataqatsyeB2GHtyvj47sl2ZbBgAA0PEikaD8TaXyN5YoEva1czZDbm+OPMl95HSlx1Sy/V/z5s3TqaeeqnXr1u12jMfj0Z133qlfn3+W6qqWyIoE27xevKWkD5EnubfdMQAAAAAAANBFULYFAMiyIvI9OU1W7Ra7o8TEH4po6HXfacT4fXXPPfdo4sSJdkcCAADdUDBiaea8Er24oc7uKHIY0t0Te+vEQRl2RwEAAB3MsiyFAtUK+qsUCtYrFGqQrNZ32zcdXjldqXK60uT25sl0xG+n/NraWl1wwQWaM2fObscU9uut999+XNlZne8DQykZw+VJyrM7BgAAAAAAALoAyrYAAIXXfyL/axfZHaNNlqVO1R5n3N2unVgAAAB2JxyxdPEXJXp5o/1F2x8Ykh7Yt4+OH5hudxQAAGAjy7IUCfsUCtbLigRlKSJZlgzDlAyHHA6vHK5UmaYz4VmeeuopXXDBBaqvr2923OVy6t03H9XoUUMSnqFtDKXnjJfTlWJ3EAAAAAAAAHRypt0BAAD2Cy5+zu4IbTbSXClZEbtjAACAbsiyLF03v7RTFW0lyZJ06bwSvbOlvtWxAACg+zIMQw5nkjxJefKm9FVSSj8lpRbKm1Igb3JvuTyZHVK0laTTTz9d8+fP15577tns+GWXzujERVtJstRQs1IWry0BAAAAAACgFZRtAaCHi9RuVWT9x3bHaDOrdosiGz6zOwYAAOiGXt1YpydWV9sdY5fClnTJFyXa1hSyOwoAAIAkaejQofrss890xRVXSJLGjhmm3158ms2pWhcONcjXsNnuGAAAAAAAAOjkDMuyLLtDAADsE1z8rIIf3mp3jHZxjj5B7qnX2B0DAAB0I2W+kKa+sV5VgbDdUVp0SN8UPTG5QIZh2B0FAABgh3feeVupnjINHzbA7ihRMpSeM15OV4rdQQAAAAAAANBJdcw9pAAAnVakdGlM4xdvadJD/y7Tx6vqVVIblCQVZLp00NA0nbl/jvbonyxJ2lIV0H3vl2rR5iYt3tqkmqaIHvlloU7fJ2enOf3BiB76qFxzvqzUhoqAUjymxvdL0lVH9Na+Ra2/yREpXRbTNQAAALTEsiz9/uvtnb5oK0nvbW3Qc+trddKgDLujAAAA7DB5/1FqrFtnd4wYWGqsW6v07DF2BwEAAAAAAEAnZdodAABgr1iKqn/7tFyT7lyhrzY06oIpeXr+V0V64bwiXXhQnpZt82nyXSu1tswvSVpT7tezX1fJ5TR0+Mj0Fue9cO4mXf/qVh09JkPP/WqQ7j2hn8rrQzrigVX6ekND69dQsUpWOBj1dQAAALTk1U11emNzvd0xonbD/FKVNPJcCAAAdA6WZcnXWGJ3jJiFAjUKBVt/HQoAAAAAAAA9EzvbAkAPZoX8sirXRjX287X1uvTZzTpyVLrmnDVQbud/P68xZViazjswTy8uqFaS+/vjkwanasOt3+8GMn9jo577pnqX8/qDET37TZVO2jNLN/ysz47j+xalaMh132nu11Xaa0Aru9uGA7Iq18rIGx7VtQAAAOxOxLJ0+8Jyu2PEpDYY0cPLq3TTHvl2RwEAAFAoUK1I2Gd3jDbxN22T0zXY7hgAAAAAAADohNjZFgB6sEjFaikSimrsnW+XymEaeuDkwmZF2x87fkKm+mS4JEmmaUQ1r2kaMg1DGUmOZsfTvaZMQ/LuZq3/FSldGtU4AACAlnxY0qANDV1vl9jn1tWoMRSxOwYAAECX3NX2B/6mUllRvlYGAAAAAACAnoWyLQD0ZI0VUQ0LRyx9tKpOexQm7SjTxovLYejcSTma82WlXltUrdqmsDZU+HXh3E3KSHLozP1zoprHaqqMay4AANAzPbG62u4IbVIbjOjlDbV2xwAAAD1cJOxX0N+FX6OxwvL7yuxOAQAAAAAAgE7IaXcAAIB9rLA/qnHl9SE1BS0VZrt3eiwcsWRZ//3aYUqGEd2utj+44/gCZSQ59Iu/rVfkP3MVZrn0+m8Ga3CeJ6o5rFB01wIAALA7m+qDem9rg90x2mz2qmqdWpQR83MxAACAeAkGqu2O0G5Bf7W8yX3sjgEAAAAAAIBOhrItAPRkcbgt3gF3rtDiLb4dX//pmL669JD8mOa44+3tuv/9Ml1zVG/tPzhFdb6IHvmoXNMeXKNXLhis8YXJrU/CLf4AAEA7PbOuRlbrwzqt76r9WlLl15hsr91RAABADxUK1kc17tTTr9QXXy7WJ+/PVkFBr2aPVVXV6oApp2vAgL669eZLNWfu6/r8i4XauKlEyUleFRcX6bcXn64DJ+3Z7Lyn5rymf73zmZZ8t1pl5ZXq0ztPBx24l66YeYZ698qN+hrCUV4DAAAAAAAAehbKtgDQk5k771S7K7mpTiW5DG2qDOz02KzpA9UUjGhbTVAnProu5gjLt/l08xvb9MdpzUu6h49M1563LNPVL23VmxcPaXUewxHdDrgAAAC781V5U6tjtp46Iqq5cq57Qp6R+6j+jScUWP61guuXKly2Re7ivZV7/VM7jfcv/kx1rz6m0OZVitRXy0xOk7PfUKX+7Cx5JxwU0zVQtgUAAHaJtqh6392/06QpM3TJZbfr+bn3NHvsd9fcq/r6Jj14/zWa/eQrmr9gmX55yk80atQQNTb6NPvJl3XciZfqwfuv0SknHbnjvNvuelyT9p+ga6/+lfr0ztXqNZt0131P6M1/faIP33lc+XnZUWWLRPyKRIIyTVf0Fw4AAAAAAIBuj7ItAMTAsixZ9dskX42skE+KRCSnR4bTKyOjQIazaxUbDGd0BVWHaeigYWl6b3mdSmqC6pPx3zcbivt8f80bKvxtyrB4S5MsS9qzf/Pda10OQ2P6JumT1VHuJuKMrjgMAACwK5ZlaXGlr9VxuTfNbfZ13YsPK7B0nnKund3suLPg+w8LNb43V4YnSZ5R+8o3/4Pdzhupr5ar3xClHHyCzIxcRRpq1PjuXFXecZ4yL7hDyZOnRXUdC6O4BgAAgESwLEuhUENUY3vl5+jO22bq7PNu0OwnX9EZ04+RJP3zjY/0wkvv6s7bZqpoUD9ddOEvdNMNFzY797BD9tXUw8/WXffObla2/fCdx5WXm7Xj6wP2n6CxY4bp0KPO1ZN/f02X/3ZG1NcSCtbL7clqfSAAAAAAAAB6DMq2ANACq6lS4S3fKFK67PtfZcskX82uBxsOGdlFMvNHyswvltlrtMz8kTIMo2NDx8BIL4h67OWH5evtpbW65JlNmnP2ILkc8bmuH4q7X65v0OShqTuO+4MRfbu5SX0zoyvRGun94pIHAAD0TBvqg6oJRlod5x46vtnXZnqWZJg7Hf9B3p2vyzBNSVLpFUfvdt6k/X6ipP1+0uyYd8IUbb/kUDW+/2zUZdvFVZRtAQCAPSLhJslq/fnUD46ddrBef/MjXX/Tgzp46kSlpiTr8t/dpSkH7q2zZhwnSc3Ksz9wOBwaN3a4nn/xnWbHdzV2/Ljhcjgc2rq1NKZrCQfrJcq2AAAAAAAA+BHKtgDwPyzLUqTkW4UWP6vw6nelSCjKE8OyKlYpXLFK4WWvSJKM7CI5x5wk54ifynCntjJBxzOyBkiuZCnY2OrY/YpSde+J/XTZ85u1/x0rdNb+OSru45VpSNtqQ3rl22pJUrrX3HHOSwu+P7buP7veLtjYpFT398eOm5ApSdq/KEV79k/WLW9tU1MwogMGp6rWF9Yj/y7X+oqAHju9f1TXYuYXR3fRAAAAu7AoQSXVH4q2bTrX6ZKZnC6ZjqjPWVUbUGMoomRn29cFAABoi0gkGPM5d9wyU59+/q0u+u1tys3JVCAY1AP3XtXiOaFQSF/MW6QRwwa2Ov+nn3+rcDis4cMHxZTLivb1QAAAAAAAAPQYlG0B4D+sSEjhpa8quGiurIpV8Zmzcq2C/75Nwc/ul3P4T+XcY7rMjMK4zB0PhmHKzBuuyNYFUY0/Z1KuJg5K0UMflun/PixTSU1QhiEVZLq0z6AUvf6bwZoyLG3H+NNmrW92/l8+LtdfPi6XJDVMGC9JMk1Dr104WPe9V6qXFlTr/vfLlOIxVdzLqxfPL9IRI9NbD+ZJj2mXXgAAgP+1siZgdwRJkhWJSFZEkZoKNbz3jEIl65V96mVRnx+xpNW1AY3N9iYwJQAAwC5YVsynZGWl64G7r9LJp10hSXr4z9eqoG9+i+fcftcsrV23WU/NuqXFcXX1jbriqrtV0Ddfvzz1Jy2O/V+Wot+hFwAAAAAAAD0DZVsAkBSpWKPAu9crUro0MQsEmxRa8rxCy16Ta7/fyDnuVBkx7FCWKD6fT6uqHBocwzljC5L0yC+j22224YHxUY3LSHLohp/10Q0/6xNDkv8y84tlGEabzgUAAJCkhlDnKFRU3v4r+Rd9IkkyklKVdck98u4xJaY5Osu1AACAnsVS7GVbSTr0kH21156jVFVVo5NOOKLFsU/NeU333P+kLjz/FP3kyMm7Hefz+TXj7Gu0efN2vfT8fUpNSY4tVBuKwwAAAAAAAOjeuK8kgB7NioQU/Ppv8s09NXFF2x8L+xX85G75XzxHkeoNiV9vFyzL0pdffqlf//rX6tOnj25++HlbcsSTmT/S7ggAAKCL84U7R6Ei44xrlfvH55R92UPyjJ2kqvtnqvHTf8Y0R2e5FgAA0LMYavsHoT1ul1wuV4tj5sx9XTOvvEszTpumP1x/wW7H+f0BTT/rGs37cpH+/sSt2muPUbEHMnjrBAAAAAAAAM2xsy2AHitSv12B1y9TpPS7jl+75Fv5nj5Z7oN+J+eo4zpkzZKSEv3973/X7NmztXTpf4vFby01VecLK81r/067beUcdqTdEQAAQBfXWfbId/YZuOP33r0OVsVt56pm1s1K2u8nMszoSh9UQwAAgB0MI3GvLc2Z+7ouvewOnXLSkbr7jst3e4cjvz+g08/8vT75bIH+PusWHTR5rzatZ1C2BQAAAAAAwP/gFSMAPVKkeqP8z59pS9F2h7BfgfdvUvDrxxO2hN/v1/PPP6+f/vSn6tevn6688spmRVtJqvNF9I+vqhKWIdHMPhNk5g6zOwYAAOjivI7OUrdtzjV4jKyGGkVqK6M+x9NJrwUAAHRvptObkHmffuYNXXrZHTrx54fr/rt/12LRdvpZ1+jjT+dr9mM36+Cp+7R5TYcjqc3nAgAAAAAAoHtiZ1sAPU6keqN8L5wtNZbbHUWSFPz8z1IkKNfE8+Iyn2VZmj9/vmbPnq2nn35alZWtFzMe+6Rcv5qcG5f1O5pz7Il2RwAAAN1AmqvzfRbVsiwFln0lIyVdZlpm1OeldsJrAQAA3Z9pumQ6PIqE/XGb85XXPtAlM2/XmFFDdMbp0/TNgmXNHh87eqg8Hrck6cxzr9O773+hmZdMV1ZWhr765r8fsk9LTdaI4YOiXtfhSo3PBQAAAAAAAKDboGwLoEeJ1JfK/8qvO03R9gfBeY9I7jS5xv+izXOUlpZqzpw5mjVrlhYvXhzTud+V+DR/a1h79E3c7f4SIilbjsGH2J0CAAB0AyMyPQmZN7BmscLlWyRJVlO9IpalpnlvSZJcRWPkzCuQJFXedYGcA0bINWCEzNRMhatK1fTRSwos+0oZZ14vwxHdj+9OQxqS7k7ItQAAALTG4UyNa9n27Xc/UyQS0cLFK3XUtAt2enzBl8+qf2EfSdK/3vlMknTP/U/qnvufbDbugP3G69UX/xzlqqYczuR25QYAAAAAAED3Y1iWZdkdAgA6ghUJyf/8mYpsX2J3lN3yHPsXOQonRj0+GAzq9ddf1+zZs/X6668rFArFtF56erpOOeUUnXnmmdqrV1CBf14ca2Rbufa7SK69zrI7BgAA6Aa2NAQ18bW1MZ9X9fBV8s17W31mz9/t400fvbzLxzLPv0XJBx0vSap79TH5vvyXQts2ymqql5mcJlfRaKUccZq8e0yJOs+oTI/ePnJgjFcBAAAQH031m9VUv97uGO3idKUpPWec3TEAAAAAAADQyVC2BdBjBL+ZpeBnD9gdo0VGel95T31Ohrvl3TMWLlyo2bNna86cOSorK4ttDcPQoYceqjPOOEPHHXeckpKSdjzmf/sahVe80absHc3IK5b3xCdkOFx2RwEAAN2AZVka+/IaVfrDdkdpl1OLMnTXxN52xwAAAD1U0F+tuqrO+0H3aHiS+yolvcjuGAAAAAAAAOhkorsPJQB0cZHKNQp+8bDdMVpl1W5V8LP75Z5y9U6PlZeX6+mnn9bs2bO1YMGCmOceMmSIzjjjDJ1++unq37//Lse4J1+hpk3zpMaKmOfvUKZTnkP/QNEWAADEjWEYGpvl0YfbGu2O0i5jsjx2RwAAAD2Y050h0/QoEvHbHaXNPEn5dkcAAAAAAABAJ0TZFkC3Z0VCCrx7oxQJ2h0lKqHFz8ox+BA5CicqFArprbfe0qxZs/Taa68pGIztGlJTU3XSSSfpzDPP1AEHHCDDMFocbyRlyj31GgVen9meS0g418RfycwdancMAADQzeybn9zly7b75rd8hwQAAIBEMgxDnuTeaqrfYHeUNnG40uR0pdodAwAAAAAAAJ0QZVsA3V54+euKbO9at6+re+cm/WnZCD311N+1ffv2mM+fOnWqzjjjDP385z9XSkpKTOc6i6YqPPI4hZe+FPO6HcHsM07OPc6wOwYAAOiGThqUobsWlytk2Z2kbfbOTdLwDHa2BQAA9vIk9VJT/UZJXe9JlTe5j90RAAAAAAAA0ElRtgXQrVmWpeCiuXbHiJm7YYvmvfxvbd9eH/U5AwcO1BlnnKHp06dr0KBB7Vt/6u8VaKpSeN2H7Zon3oycofL87AEZDpfdUQAAQDfUK8mpo/ql6bVNdXZHaZMZQzLtjgAAACDT4Zbbm6uAr8zuKLExHHJ7c+1OAQAAAAAAgE7KtDsAACRSZPsSWWXL7Y7RJudOzml1THJysqZPn64PPvhAa9as0Q033NDuoq0kGaZT7iNvkznggHbPFS9G9mB5j31Yhjfd7igAAKAbO2Nopt0R2iTX49BPCrnlMQAA6By8Kf0kGXbHiMmDD8/V559/YXcMAAAAAAAAdFKUbQF0a6HFz9odoc2mjc1U7/Rdb0A+efJk/e1vf9O2bdv0xBNPaMqUKTLN+H5LN5weeX56rxxDDo/rvG1h9hot7/GPyUhuvYAMAADQHvvkJWlEhtvuGDE7dXCGPA5+xAcAAJ2D05WipNRCu2NEbcG3y/SHPz6oyZMn66qrrpLf77c7EgAAAAAAADoZw7Isy+4QAJAIlq9GTY8fLoUDdkdps5teL9Ht/9ouSSosLNSMGTM0Y8YMDRkypMMyWJGwQt/+XcEvHrLlz9I59mS59r9Ehiupw9cGAAA904clDfrlvzfbHSNq+V6H3j9qkLI8DrujAAAA7GBZEdVWLFQ41GB3lBb5/QFNPfxsrVi5fsex0aNH68knn9SECRMSurZlhRUKNigcrFcoVK9wqEmywrKsiCRDhmHIMJxyuFLkdKXK4UyVw5ksw+hauwYDAAAAAAB0B5RtAXRbobUfKPD6TLtjtMtnaxs1q3QvnXnmmTr44IPjvnttLCKVaxV490ZFti/ukPWM9AK5D7lRjn57dch6AAAAP3b5l9v0j7U1dseIyqzJBTq8INXuGAAAADsJBetVW7FQUud9G+LmW/6i+/78952OO51OXX/99br66qvldO767lNtYUVC8vvK5G/crnCoPvYJDFMuV4Y8yb3l8mRTvAUAAAAAAOgglG0BdFuBLx5S6KtHox6/eEuTHvp3mT5eVa+S2qAkqSDTpYOGpunM/XO0R/9kSdKWqoDue79UizY3afHWJtU0RfTILwt1+j45O2cIRXT7v7brH19VaWtNUL3TnTppzyxdfWRvJblbL85aziQln/+JDKNz3BLYioQVWvCUgl/+RQr5ErOI4ZBzzAly7XexDHdyYtYAAABoRW0grIPfXK+SppDdUVp0/IA0/Xm/vnbHAAAA2C1fwxY11q2zO8YuLVy8WocddY7C4fBux+y999564oknVFxc3K61QsEG+RtL5PeVSdbu14uFaXrkSe4tT1IvmQ53XOYEAAAAAADArnWO9hYAJECkdFnUY//2abkm3blCX21o1AVT8vT8r4r0wnlFuvCgPC3b5tPku1ZqbZlfkrSm3K9nv66Sy2no8JHpLc57xhMbdN/7pTpz/xy9eH6RztgvR3/+oEzTZ6+PKpcRapJVtSHq60g0w3TItecZSjrrbbkOvEJG5sD4TZ6cK+fev5L3jNflPugqirYAAMBW6W6H7pzY2+4YLcr3OnTTHr3sjgEAANAib0qBvCn97I6xE4crVZOn/EJ//OMf5XK5djvuq6++0oQJE3TPPfcoEonEvE4kHFB99XLVViyQv2lb3Iq2khSJ+NVUv0HVZV+pqX6jLCv2fAAAAAAAAIgOO9sC6JYsy1LT44dJjRWtjv18bb0Ov3+1jhyVrjlnDZTbufPnEF5cUK39ilLUJ8OlSMSSaX5/e7b5Gxs1+a6Vu9zZ9st1DZp67yrdemxfXXxw/o7jd769XTf+s0SvXjBYh4xIazWf+/A/yTn8J62Os4NlWYps/kqhJc8rvOVrqakqtglcKTL7jJVz5HFyFE2R4dj9GxsAAAB2uGdJue5e0vpzyo7mdRj6x5R+mpjHB5QAAEDnZ1mWmurWyde41e4okiSHM1Vp2aNkmt+/FrVo0SJNnz5dCxcubPG8Aw88ULNnz9agQYOiWsffVKbG2jWyrI65W4LDmaKUjKFyulI7ZD0AAAAAAICexGl3AABIiMaKqIq2knTn26VymIYeOLlwl0VbSTp+QuaO3/9QtG3N5+saJElHjGq+++1Ro9N14z9L9MrC6qjKtpGy5VInLdsahiFH4UQ5CifKsixZ9dsVKV2mSNlSWeUrZfnrpXBAsiKS0yM5k2TmDJaZXywzb6SMzEIZBpusAwCAzuu3o3JUHYjobytj/FBRArlM6bFJBRRtAQBAl2EYhpLSBskwnWqq32hrFqc7Q2mZxTLM/749MnbsWH355Ze6+eabdeuttyoc3vXusx999JHGjBmje+65R+eee64MY9evE0YiQTXUrFbQ37Ef2gqHGlRbsVBJqYXyphTuNh8AAAAAAABiR9kWQLdk+WuiGheOWPpoVZ32KExSn4z47qoaCH2/cbjH2fxF7R++XrKlKap5LF9tXHMlimEYMtJ6y0zrLQ2eanccAACAuDAMQ3+YkCeHIf11hf2FW6/D0KMH9NXUPil2RwEAAIiJYRhKSu0vhzNVDbWrZUUCHZ1A3pR+Skrd9Ye/3W63br75Zh199NGaPn26VqxYsctZGhoadN555+mll17SY489poKCgmaPh8M+1VUuUSTsS8hVtM5SU/1GhYL1Ss0cwQfdAQAAAAAA4oRXWQB0TyF/VMPK60NqCloqzHbv9Fg4YikU/u8vy7JiilDc2ytJ+nxtQ7Pjn635/uvKxl3vkLFzkOiuBQAAAIlhGIauH5+nq8bmKsqbHCREtsehpw/qp4P7cltgAADQdbm92crI3UNub36HrelwJis9Z5yS0wa0Wj6dOHGiFixYoEsvvbTFcW+99ZZGjx6tOXPm7HjdMBxqUl3FYhuLtv8V9FeqrmqpLCvK1yABAAAAAADQIsq2ALolKxJp9xwH3LlCGb9duOPX/e+XxXT+4SPTNDjPreteLdF7y+tU3RjS20trdeM/S+QwFX1RIw7XAgAAgPYxDEMXjczRS4f01+C0nT+olWg/6ZeqD44aqH3ykzt8bQAAgHgzTadSM4cpNbNYpsObuIUMh7wphUrPGS+nK/oPLCUlJenee+/VBx98oIEDB+52XHV1tU477TSdeOKJKivd+v2OtpHO88H5UKBa9dXLZVm8vggAAAAAANBelG0BdEuGM7oCRG6qU0kuQ5sqd75t3azpA/Xx5cP03LmD2pTB7TT10vmDVZjl0rSH1qjgqiU67fH1uuLwXspKcqhPhiu6iaK8FgAAACTeXrlJ+tcRA3T+iKwO2eU2y+3Qw/v30aOTCpTrdSZ+QQAAgA7k9uYoI3dPpWaNlMuTFbd5Hc5kJacPVlbe3lHtZrs7U6ZM0aJFi3Tuuee2OO7NN17XulX/7lRF2x8E/VVqqF1tdwwAAAAAAIAuj3fqAHRPrqSohjlMQwcNS9N7y+tUUhNsVoAt7vP9rhobKtr+IvngPI8+mDlMW6sDqmwMqyjXo5qmsK54YYsmDY5uNw3D6Wnz+gAAAIi/JKep68bn66eFabp3SYU+KGmQFec1UpyGThiYoZmjcyjZAgCAbs0wDLk92XJ7shUO+eRv2qZgoEbhYIOk6HdkNR1JcrrS5EnuJacrXYYRn09GpaWl6a9//auOPfZYnXPOOSopKdlpzHW/P09DBhfGZb1ECDSVKuDJkdubY3cUAAAAAACALot37AB0S0Zqb8nhlsI771j7vy4/LF9vL63VJc9s0pyzB8nliP8WZX0z3eqb+f3v//DPEqW4Tc3YLzuqc42stu2sCwAAgMTaIydJTx3UT+vrAvr7mmr9Y22NqgPtu0Xv8Ay3ZgzJ1M8HZijVxc1oAABAz+JwepWcNlCSZFkRhUONCgfrFQo1yIqEJFmyLEuGYcowTJnOZDldqXI6U2SYiX274yc/+YmWLFmiiy66SE8//fSO4/vvN16/OueEhK4dDw21q+V0p8s0o7zbFgAAAAAAAJqhbAugWzIcLpk5QxUp/a7VsfsVpereE/vpsuc3a/87Vuis/XNU3Mcr05C21Yb0yrfVkqR073/LDi8t+P7Yuv/sertgY5NS3d8fO25C5o5x97y7Xb3SXSrMcqm0LqQXF1TrtUU1euz0Aeqb6Y7qWsy84qjGAQAAwB4D09y6dny+Lhudq3e3NuibiiYtrvRpSZVf9aGWy7fhim0ammzp+L1H64Beydo7Nyluu7ABAAB0ZYZhfl+kdaWqs9z3KTs7W3PmzNFxxx2n888/X02NDXrgnqvsjhUVKxJUY+1apWYOtzsKAAAAAABAl2RYlhXvu10CQKcQ+PAWhRY/F/X4RVua9NCHZfp4db1KaoIyDKkg06V9BqXolxOzNWVY2o6xKRd/u9t5Gh4Yv+P3t765TU9/Vakt1UEluUztPTBZVxzeSwcMTo0ylaGk8z6R4U6O+joAAADQOUQsS2vrglpd61dTyFKdP6Dzf/UrWUG/rIZaBTcsU6SmQr/5zW/05z//2e64AAAAiMH27dv17r/m6KjDJ9odJSapWSPl9kR3xy0AAAAAAAD8F2VbAN1W6LuXFHj/JrtjtIuRNUhJp71odwwAAADESe/evbV9+/Zmx4455hi9/PLL9gQCAABAm1iRkKrKvpSslu9k0Nk43RlKzx5jdwwAAAAAAIAux2x9CAB0TWbvsXZHaDezNy98AwAAdCeFhYU7Hdu0aZMNSQAAANAefl9ZlyvaSlIoUKNwqNHuGAAAAAAAAF0OZVsA3ZaRXSQzv9juGO3iLD7a7ggAAACIo12VbTdu3GhDEgAAALSVZVnyN5bYHaPNfF04OwAAAAAAgF0o2wLotgzDkHPMSXbHaDMju0hm3z3tjgEAAIA46t+///e/MUw5+gySa8g41eYP1rsbqvRVWaOWVPnUEOx6O6QBAAD0JKFgbZfeHTbQVCorErY7BgAAAAAAQJdiWJZl2R0CABLFCjapadYRkr/O7igxcx10lVxjT7Y7BgAAAOJgS0NQn5U26on3PtcXmyvlGjhCpjdll2MNSUPS3RqT5dXYbI/2zE3ShGyvDMPo2NAAAADYpYbaNV16Z1tJSs0cIbc31+4YAAAAAAAAXQZlWwDdXuDjuxT6do7dMWLjSlLSWW/LcKfanQQAAABtFLEs/Xtbo55YVaX3ShoUacdP30PT3Zo+JFMnDExXutsRv5AAAACIWU3FtwoH61sdd+rpV+qLLxfrk/dnq6CgV7PHqqpqdcCU0zVgQF/devOlmjP3dX3+xUJt3FSi5CSviouL9NuLT9eBk5rf+eqFl97VrCde1uo1G1VTW6+srHSNHztcl150mibuPSbqa/Cm9FNy2sCoxwMAAAAAAPR0lG0BdHuRum3yzTlBCjbYHSVqzr3PkXvfC+2OAQAAgDbwhSN6YlW1nlxdrfX1wbjOnew0dNyAdF0wIlsD09xxnRsAAACts6yIqrZ/Lqn1t1a2l1Zo0pQZGjd2mJ6fe0+zx351wR/01r8+1YfvPq7ZT76iTz//Viccd6hGjRqixkafZj/5st557ws9eP81OuWkI3ec9+jjL6ikpEzjx41QTnaGtpdW6KG/PKtFi1fqpWfv1QH7T4jqOpzuTKVnj47p2gEAAAAAAHoyyrYAeoTQkhcU+OCPdseIipEzRN6T58hwUJ4AAADoauZXNGnmvG1aVRtI6Dpeh6Grx+bprGGZMg0joWsBAADgv0LBetVWfBv1+JdffV9nn3eD7r79cp0x/RhJ0j/f+Egzzr5Gd942U2fNOE5l5VXKy81qdl44HNbUw89WY6NPX38+t8U1amvrNWz00TrumEP08J+vjSqXYTiVmb+PDJ5LAgAAAAAARMW0OwAAdATHqONlFu5jd4zWGQ55Dv0DRVsAAIAuxheO6E/flumYdzcmvGj7/XqWblhQqp+/t0nr6hK/HgAAAL4XDtbHNP7YaQfr+GMP0fU3PaiNm0pUWVmjy393l6YcuLfOmnGcJO1UtJUkh8OhcWOHa8vW0lbXSE1NlsfjltPpiDqXZYUUCfujvxAAAAAAAIAejrItgB7BMAy5D75ecqXYHaVFzj3PlJk/0u4YAAAAiMHauoCO/NcGPbS8UpEOvnfMl+VNOvSt9Xp2XU3HLgwAANBDhdtQUL3jlplKTU3WRb+9TVdcfY8CwaAeuPeqFs8JhUL6Yt4ijRg2cDc5wgoGQ9q4qUSX/+5uWZals884PqZckbAvpvEAAAAAAAA9mdPuAADQUcz0vnIffK0C/7ra7ii7ZPYZL9fEc+2OAQAAgBh8V+XTLz7crHJ/2LYMvrCl387bpkp/WOePyLYtBwAAQI9gRWI+JSsrXQ/cfZVOPu0KSdLDf75WBX3zWzzn9rtmae26zXpq1i27fHz/g6Zr9ZqNkqRevXL03NN3afy44THlstTBnxQDAAAAAADowgzLsng1BUCPElz0jIL/vs3uGM0YucPlPf5RGZ40u6MAAAAgSt9V+XTi+5tUE4y9cJEoV43N1UUjc+yOAQAA0G011K6Rv7GkTece8bPzVVVVoy8//UeL456a85ouvfwOXXj+Kbrphgt3OWb5inVqaGzSli3bNevJVzR/wTLNeeI2Tdp/QtR5UjOL5fby3BEAAAAAACAalG0B9EjBBX9X8JO77Y4h6T9F22MekpHMLmQAAABdxdq6gI57d6OtO9ruzi175mvG0Cy7YwAAAHRLjbXr5Gvc0qZzpx1/kSoqa/Tph0/udsycua/r0svu0Om/+JnuvuNyGYbR6ryhUEhTDjtbpmnoo/dmR50nNWuk3B5ekwQAAAAAAIiGaXcAALCDa8Jpch98vWTY+23Q7DPh+x1tKdoCAAB0Gb5wRGd/vKVTFm0l6dr5pfqqvMnuGAAAAN1TAl9P/KFoe8pJR0ZdtJUkp9OpsWOGac3aTTGtZ/AWEQAAAAAAQNR4JQVAj+UcdZw8J8ySkTmw4xc3nXLu/St5jvuLDE9ax68PAACANrtnSYVW1gbsjrFbEUuaOa9ETaGI3VEAAAC6HdPhTsi8Tz/zhi697A6d+PPDdf/dv4u6aCtJPp9fX8//ToMG9otpzURdCwAAAAAAQHfktDsAANjJ0XusvKf+Q8F5jyi04CnJSnwhwcgZKs9hN8nMG5HwtQAAABBf8yua9PDySrtjtGptXVB3LC7XDRPy7Y4CAADQrTidKXGf85XXPtAlM2/XmFFDdMbp0/TNgmXNHh87eqg8nu+LsUce/WsdefgBGjZ0gNLTU7VxU4lmPfGy1q/fqicf/1P0ixoOmY6keF4GAAAAAABAt0bZFkCPZzi9ch9wqRxFUxX86A5FSpcmZiF3qpzjfynXXmfLcLgSswYAAAASxheOaOa8bYpYdieJzqMrqvSTwjTtnUuJAgAAIF4crviXbd9+9zNFIhEtXLxSR027YKfHF3z5rPoX9pEkTdxrtF565T1t3LRNjY1NysnO0F57jtaf/nCRJu49Juo1nc6UmHbPBQAAAAAA6OkMy7K6yNuEAJB4lmUpsn2JQoufVXjV21K4/bcHNnKGyjX2ZDmGHSXDnRyHlAAAALDDX5ZX6qZvy+yOEZOxWR69cfgAihQAAABxVFM+X+FQo90x2sWT3Fcp6UV2xwAAAAAAAOgyKNsCwG5YTVUKLXtN4Y2fK1K2TPLVRHei4ZCRXSSz9xg5Rxwts884yg0AAABdXMSyNPn1dVpfH7Q7Ssz+eVh/Tchhd1sAAIB4qa9ZqUBTqd0x2iUlY5g8Sfl2xwAAAAAAAOgynHYHAIDOykjKkmuP6XLtMV2WZcmqK1GkdKkiZSskX7WskF+ywpLDI8PllZE5UGZ+sczcoTKcXrvjAwAAII4+2tbYJYu2kvTEqmrKtgAAAHHk9uR08bKtIZcny+4QAAAAAAAAXQo72wIAAAAA0IozP96it7fU2x2jTTymoa+PGaxsj8PuKAAAAN2CZVmqKftakYjf7iht4vbmKTVzuN0xAAAAAAAAuhTT7gAAAAAAAHRmWxqCendr1yzaSpI/YunZdTV2xwAAAOg2DMOQJ7m33THazJvcx+4IAAAAAAAAXQ5lWwAAAAAAWvB5aaMiXfyeMJ9ub7Q7AgAAQLfiSeolybA7RuzMJDlcaXanAAAAAAAA6HKcdgcAAAAAAKAzW1TV+u2Bt546Iqq5cq57Qp6R+6j+jScUWP61guuXKly2Re7ivZV7/VOtnl/7zH2qf/kROfsNVf6dr0W1piQtqvTJsiwZRhcshAAAAHRCpsMttzdPAV+p3VFicv0N9+roY0/XEUccYVsGy7IkKyJLERkyJMOUZPBcFQAAAAAAdGqUbQEAAAAAaMHiSl+rY3Jvmtvs67oXH1Zg6TzlXDu72XFnwRBJUuN7c2V4kuQZta988z+IKkdw/TLVv/64zIzc6IL/SLk/rJKmkPomu2I+FwAAALuWnDZQQX+lLCtkd5SofPzJN3roL0/rwUfm6Mwzz9Tdd9+trKyshK4ZCQcUCtUrHKxX6D+/rEhgp3GG4ZTDlSrnf345XKkyTQ8FXAAAAAAA0GlQtgUAAAAAYDfCEUtLqlsv27qHjm/2tZmeJRnmTsd/kHfn6zJMU5JUesXRrc5vhUOqeuT3SjnkZAU3LFekrrrVc/7XokofZVsAAIA4Mh1uJacPVkPNCrujtKq+oVEXz7z9+11lJc2aNUtvvvmmHnnkER1zzDFxXcuyIgr6K+VrLFEoUBPlOSGFAtUKBap3HHM4k+VJ7iOPN1+G6YhrRgAAAAAAgFiZdgcAAAAAAKCzWl8fVGPIivu8PxRto1X/yqOyGmqUdvKlbV7zuyp/m88FAADArrm9uXJ5cuyO0ao/3PywNm4qaXZs27ZtOvbYY3XKKaeorKys3WtEwgE11m1QddnXqq9eHnXRdnfCoUY11q5RddmXaqhdo3Cosd0ZAQAAAAAA2oqyLQAAAAAAu1ETDNsdQcHNq1X38sPKOOsGmd6UNs/TGa4FAACguzEMQynpg2WYnfcOAgsXr9asJ1/Z7ePPPPOMRo4cqblz5+7Y+TYWlmXJ11ii6vJv5GvYJCsSaE/cXcwflr+xRDXl89VYt0GWFYnr/AAAAAAAANGgbAsAAAAAwG74ErCrbSysSETVf7lGSXsfJu+Eg9o1ly9s77UAAAB0V6bDrbSsUTIMh91RduJwpujAqb/QQw89pLS0tN2OKy8v16mnnqpjjz1WW7dujXr+cNinuqolaqxdI1mJ/3CXr2GTaiu+VShYn/C1AAAAAAAAfoyyLQAAAAAAuxFuw85e8dTwxiyFtq1X+vTft3uuCF1bAACAhHG6UpWaNUrqRIVb05GktKxRcjjdOv/887VkyRIdeeSRLZ7z6quvauTIkXr88cdb3eXW37hdNeULFArUxDN2q8KhRtVWfPufXW55kgsAAAAAADoGZVsAAAAAAHbD67Tvx+ZQ+VbVPfdnpf38QhlOlyINtYo01EqRsGRFFGmolRXwRT2fx2EkMC0AAABc7nSlZ4+WYTjtjiKHM1XpOWNlOtw7jvXv319vvPGGZs+erczMzN2eW1NTo7PPPltHHHGENmzYsNPjlmWpqX6TGmpXdchutrvja9ikhpqVFG4BAAAAAECHoGwLAAAAAMBuJNlYUA2XbpIV8Kn2iVu07ZyJO34FVsxXaMsabTtnomr/cU/U89l5LQAAAD2F05Wm9JyxcjhTbMvg9uYpPXu0TNO102OGYWjGjBlaunSpjjvuuBbneeeddzR69Gg9+OCDikQiO4431W9UU/3OJVw7BHxlqq9eTuEWAAAAAAAknP0frwYAAAAAoJMqSnPLNKSIDe/duwYUK+e6J3Y6XvPkrbIa65R5/i1yZPeOer4h6Z54xgMAAMBuOJzJSs8ZJ1/DZjXVb5LUMU8mDdOllPQhcntzWh3bp08fvfDCC3r++ed14YUXqqysbJfj6uvr9Zvf/EbPPPOM/va3v6lfnyT5GjbFO3q7BP0VaqhZpZSMoTIMPmAGAAAAAAASg7ItAAAAAAC7kew0NSTNrZW1gbjOG1izWOHyLZIkq6leEctS07y3JEmuojFy5hXITEmXZ+Q+O51rJqcpEg7v8rGWjM2mbAsAANBRDMNUUmp/uTw5aqhZqXCoIaHrub15Sk4v2uVutrtjGIZOPPFETZ06VZdccomefvrp3Y79+OOP9bsrLtBjj9wQj7hxF/CVyuH0Kim1v91RAAAAAABAN0XZFgAAAACAFozJ9sa9bNvw9hw1ffRys2NV910qSco8/xY5Dzo+rut5HYaGsbMtAABAh3O6UpSeM15Bf4V8jSUKBWriOLshtzdX3uQ+crrT2zxLbm6u5syZo1NOOUXnn3++tm7dutOYnJxM3frHi9sTNuGa6jfJ5cmW05VqdxQAAAAAANANGZZl2XAzTAAAAAAAuobHVlTphgWldsdolwk5Xv3zsAF2xwAAAOjxwqFG+RpLFGgqlWWF2zSH6fDIk9RHnuReMe1kG43q6mpdfvnl+tvf/tbs+GOP3KjjjjkkrmslgsOZovSccTIM0+4oAAAAAACgm6FsCwAAAABACxZUNOln72y0O0a7nD0sSzftkW93DAAAAPyHZVkKhxoVDtYrFKpXOFivcKhRlhWR9MPbNoYM0ymHM0VOV6qcrlQ5XKkyTY8Mw0hovnfeeUfnnnuuNmzYoKN/OkWzH7s5oevFU1JqfyWl9rc7BgAAAAAA6GYo2wIAAAAA0ALLsjT1zfVaVRuwO0qb/euIARqd5bU7BgAAAKLww9s2iS7Utqa+vl7XX3+dfnXmVOXnZduaJTaGMnL3lMPJ818AAAAAABA/3EcHAAAAAIAWGIahGUMy7Y7RZnvleinaAgAAdCGGYdhetJWk1NRU3frHq7pY0VaSLPkbS+wOAQAAAAAAuhnKtgAAAAAAtOLnA9OV7LS/8NAWM4Zk2R0BAAAAXZSvqWuWVv1N22VZYbtjAAAAAACAboSyLQAAAAAArUh3O3T8gHS7Y8Qs2+PQTwtT7Y4BAACALigUrFM4WG93jDaxrJACvnK7YwAAAAAAgG6Esi0AAAAAAFG4oDhbXkfX2t32N8XZ8jj40R8AAACx8zV2zV1tf9DV8wMAAAAAgM6Fd9wAAAAAAIjCgFS3fj8uz+4YUdszx6tzhmXZHQMAAABdkGVZCvqr7I7RLuFgvSLhgN0xAAAAAABAN0HZFgAAAACAKJ05NFP75CXZHaNVXoehe/bpI4fZtXbiBQAAQOcQiQRkRYJRjT319Cs1aPhR2rJl+06PVVXVauS4Y3TUtF/r24UrdMXV92jS1BnqP+RwjRgzTceddKk++uSbVtc478KblNNnsk49/cqYriMUaohpPAAAAAAAwO5QtgUAAAAAIEqmYejuib3ldXTuEusVY3I1JN1tdwwAAAB0UeFgXdRj77v7d3I6HLrkstt3eux319yr+vomPXj/NXrx5Xc1f8Ey/fKUn+jvs2/VfXf/Th63S8edeKnmPvvWbud/+93P9OZbnygtLSWh1wEAAAAAANASw7Isy+4QAAAAAAB0Jc+tq9Gl87bZHWOXDu6TotmTC9jVFgAAAG3WWLdBvoZNUY9/+dX3dfZ5N+ju2y/XGdOPkST9842PNOPsa3TnbTN11ozjVFZepbzcrGbnhcNhTT38bDU2+vT153N3mre2tl77T5muC887WX957HkVjxikfzx1R9S5XJ5spWWNjHo8AAAAAADA7rCzLQAAAAAAMTpxUIauH59nd4yd7JOXpL8e0JeiLQAAANolHKyPafyx0w7W8cceoutvelAbN5WosrJGl//uLk05cG+dNeM4SdqpaCtJDodD48YO15atpbuc97o//J965efoV+ecEPtFSAoHG9p0HgAAAAAAwP9y2h0AAAAAAICu6LwR2QpZlm5ZWG53FEnfF21nTy5QkpPP1QIAAKB9IpFAzOfccctMffr5t7rot7cpNydTgWBQD9x7VYvnhEIhfTFvkUYMG7jTYx9+9LWeee5fevfNR+VwOGLOI7XtOgAAAAAAAHaFsi0AAAAAAG10YXGO0l0O/f6b7YpY9uU4uE+K/npAX4q2AAAAiJPYn9xmZaXrgbuv0smnXSFJevjP16qgb36L59x+1yytXbdZT826pdnx+oZG/fbyO3Th+ado9KghMWf5L0uWZckwuPMDAAAAAABoH8q2AAAAAAC0w+lDMlWc6dFv55VobV2wQ9f2OgxdOSZX5wzLksOkQAAAAID4sKxIm8479JB9tdeeo1RVVaOTTjiixbFPzXlN99z/pC48/xT95MjJzR676U9/kcvl0BUzz2hTjuYsSTxXBgAAAAAA7cOWNwAAAAAAtNNeuUl6+4iBOn9EVoe9jb9Xrlf/OmKgzhuRTdEWAAAAcWUYbX/7yON2yeVytThmztzXNfPKuzTjtGn6w/UXNHvsmwVL9fjsl3TDtb+W3x9QTU2damrqFIlEFAqFVVNTJ78/EEMinisDAAAAAID2Y2dbAAAAAADiIMlp6rrx+TqqX5qun1+qhZW+hKyT7XHoopHZOnsou9kCAAAgQdpRtm3NnLmv69LL7tApJx2pu++4XIbR/DntipXrZVmWpp91zU7nbtlaqqIRP9Gf/nCRzv/VSVGsZu40PwAAAAAAQFtQtgUAAAAAII72yk3S64f117eVPj2xqlqvbqyTP2LFYV6vZgzJ0k8LU+VxcKMaAAAAJI7D4VU4WB/3eZ9+5g1detkdOvHnh+v+u3+3yyLsIVP30SsvPLDT8XPPv1H9+/fRdb8/T4MGFkS1nsPpbXdmAAAAAAAAibItAAAAAABxZxiGJuQkaUJOkq6fkK9n19Xo0+2NWlTpU7k/HNUcXoeh4kyP9shJ0kmD0jU6i6IAAAAAOobDmSqpPK5zvvLaB7pk5u0aM2qIzjh9mr5ZsKzZ42NHD5XH41av/Bz1ys/Z6XyPx63srHRN2n9C1Gt+fx0AAAAAAADtR9kWAAAAAIAEyvY4dP6IbJ0/IluWZamkKaTFlT59V+3XF4u+09vv/1syTVlBvyx/k0Jb1+nJP12jY/ebIKfJLW8BAADQ8Zyu+JdU3373M0UiES1cvFJHTbtgp8cXfPms+hf2ieuaibgOAAAAAADQMxmWZbX/XpYAAAAAACBmL7/8so477ridjr///vuaOnWqDYkAAAAAKRIJqbr0C7tjtFta9li53Ol2xwAAAAAAAN0AO9sCAAAAAGCDplBEpd4cJR92qpx9BspwJ8lwuaVIWH+tSNbXi8s1KtOjsdleFSQ7ZRjscgsAAICOYZpOmQ6vImGf3VHaxelMsTsCAAAAAADoJtjZFgAAAACADmBZlr4ub9Jz62s1v8KnlTV+haP8iTzb49CYLI8O6p2ikwZlKMvjSGxYAAAA9HiNdRvka9hkd4w2c3lylJZVbHcMAAAAAADQTVC2BQAAAAAggRqCEb24oVZPrK7Wsmp/u+fzOgxN65+mGUMyNT4nKQ4JAQAAgJ1Fwn5Vl31ld4w2S8saLZcn0+4YAAAAAACgm6BsCwAAAABAAgTClv5vWYX+srxK9aFIQtaYkO3VzXvmawKlWwAAACRAXdUyBf0VdseImelIUkbuHjIMw+4oAAAAAACgm6BsCwAAAABAnC2u9Om380q0rCaQ8LVMQ7pgRLZmjs6Rx2EmfD0AAAD0HEF/teqqltgdI2bJaUXypvS1OwYAAAAAAOhGKNsCAAAAABAngbCl+5dW6M9LKxTu4J+2h6W7de8+vTWeXW4BAAAQJ5ZlqbZiocKherujRM0wXcrI3VOm6bQ7CgAAAAAA6EYo2wIAAAAAEAc1gbDO+GiLvixvsi2Dw5DumthbJw3KsC0DAAAAupdQsEG1Fd9K6hpvJ6VmjpDbm2t3DAAAAAAA0M1wf0kAAAAAANqp3BfSie9vsrVoK0lhS/rtvG3628oqW3MAAACg+3C6UpSUWmh3jKi4vbkUbQEAAAAAQEJQtgUAAAAAoB1qAmGd+uFmfVfttzvKDtfPL9VTq6vtjgEAAIBuwpvSTw5nit0xWmSYLiWnD7Y7BgAAAAAA6KYo2wIAAAAA0Eb+cEQzPtqipZ2oaPuDq7/ertc21tkdAwAAAN2AYZhKyRgmGQ67o+xWSvpQmabL7hgAAAAAAKCbomwLAAAAAEAb3ftdhb4qb7I7xi5Zkq74apu2NATtjgIAAIBuwOlKUVrWSHXGt5ZS0ofI7c22OwYAAAAAAOjGOt8rIgAAAAAAdAELK316aFml3TFaVBeM6MqvtsmyLLujAAAAoBtwuTOUmjVCnentpeS0InmSe9sdAwAAAAAAdHOd59UQAAAAAAC6CH84ot/OK1G4C3RYP9zWqGfW1dodAwAAAN2E25OttOxRkuGwO4pSMobKm9LX7hgAAAAAAKAHoGwLAAAAAECM7v+uUitqAnbHiNqNC0pV0hi0OwYAAAC6CZc7Qxk54+RwpdqyvunwKC17jDxJvWxZHwAAAAAA9DyUbQEAAAAAiEFtIKy/rqi0O0ZM6oIR/W1lld0xAAAA0I04nMlKzx6npNSBkowOW9eT3EcZOXvI5c7osDUBAAAAAAAo2wIAAAAAEIPn19eqKWzZHSNm/1hbo6ZQxO4YAAAA6EYMw1BSaj9l5E6Qw5WW0LVMh1dpWaOVkj5YhulI6FoAAAAAAAD/i7ItAAAAAABRsixLT6yutjtGm1QHIvrnpjq7YwAAAKAb+n6X27FKyx4jtzdP8dzp1uXOUmpmsTJy95TLkxm3eQEAAAAAAGLhtDsAAAAAAABdxWelTVpdG7A7Rps9sbpaJw7idrsAAACIP8Mw5HJnyOXOUCQ8SP6m7Qr4yhQONcY8l+nwyu3JkSe5txzOpASkBQAAAAAAiA1lWwAAAAAAovTsuhq7I7TLggqfVtf6NSTdY3cUAAAAdGOmw62k1EIlpRbKssIKBRsUDtYrFKpXJOyXrIgsKyIZpgzDlGm65HClyulMlcOVKtPk7SsAAAAAANC58GoFAAAAAABRml/R1OqYraeOiGqunOuekGfkPqp/4wkFln+t4PqlCpdtkbt4b+Ve/9RO4xv//aKqH/n9Lufq9fDHcmTmRbXuN+U+yrYAAADoMIbhkMudLpc73e4oAAAAAAAAbUbZFgAAAACAKNQFw1pbF2x1XO5Nc5uf9+LDCiydp5xrZzc77iwYIklqfG+uDE+SPKP2lW/+B63On3n+LXL2LWp2zEzNbPW8Hyyu8ulkZUQ9HgAAAAAAAAAAAOjpKNsCAAAAABCFJVX+qMa5h45v9rWZniUZ5k7Hf5B35+syTFOSVHrF0a3O7+w3VO7BY6LKsiuLKn1tPhcAAAAAAAAAAADoiUy7AwAAAAAA0BUsTFBJ9YeibUf5rtqvUMTq0DUBAAAAAAAAAACAroydbQEAAAAAiMLauoDdESRJlXf+WpHaShnJafKMnKi0Ey+Sq3BY1Of7wpa2NAY1INWdwJQAAAAAAAAAAABA90HZFgAAAACAKDSFIraub2bkKfXY8+UeOk5GUqpCm1aq7pVHVX7dKcr9w9NyDRgR9Vy+MDvbAgAAAAAAAAAAANGibAsAAAAAQBTsLqh6x0+Wd/zkHV97iveWZ8JBKrtymuqee0DZlz8U9Vx+yrYAAAAAAAAAAABA1Ey7AwAAAAAA0BU4DMPuCDtx5vWTe/ieCqxaGNN5Zue7FAAAAAAAAAAAAKDTomwLAAAAAEAUvI5O2lC1LMmM7cf7TnstAAAAAAAAAAAAQCdE2RYAAAAAgChkuB12R9hJqHSzAivnyz1kXEzndcZrAQAAAAAAAAAAADorp90BAAAAAADoCkZleRIyb2DNYoXLt0iSrKZ6RSxLTfPekiS5isbImVcgSSr/05nyjNhLzv7DZSalKrhppepfe0wyDKWddHHU6/XyOpTn5eUAAAAAAAAAAAAAIFq8uwYAAAAAQBTGZXsTMm/D23PU9NHLzY5V3XepJCnz/FvkPOh4SZKrcJiaPn9T4dcflxXwy0zPlmfUvko7/tdy9hkU9XpjE3QdAAAAAAAAAAAAQHdlWJZl2R0CAAAAAIDOLhyxNPyFVWoKd+0foy8bnaOZo3PtjgEAAAAAAAAAAAB0GabdAQAAAAAA6AocpqFRWR67Y7TbmCx2tgUAAAAAAAAAAABiQdkWAAAAAIAoTe6VYneEdvE6DO2dl2R3DAAAAAAAAAAAAKBLoWwLAAAAAECUfjE4Qw7D7hRtN61/mjLdDrtjAAAAAAAAAAAAAF0KZVsAAAAAAKLUN9mlwwtS7Y7RZjOGZNodAQAAAAAAAAAAAOhyKNsCAAAAABCD6V20sDou26vxOUl2xwAAAAAAAAAAAAC6HMq2AAAAAADEYFKvZA1Jd9sdI2bsagsAAAAAAAAAAAC0DWVbAAAAAABiYBqGbt4j3+4YMZmQ49UJA9PtjgEAAAAAAAAAAAB0SZRtAQAAAACI0YG9U3Ta4Ay7Y0TFYxq6d2JvOUzD7igAAAAAAAAAAABAl0TZFgAAAACANrh2fJ4Kkp12x2jV5WNyNDTDY3cMAAAAAAAAAAAAoMuibAsAAAAAQBukuRy6a2Jvu2O0aEKOV+cNz7Y7BgAAAAAAAAAAANClUbYFAAAAAKCNDuydouvH59kdY5cKU1x69IC+cpiG3VEAAAAAAAAAAACALo2yLQAAAAAA7XDeiGxdOirH7hjN5Hsdmjuln/oku+yOAgAAAAAAAAAAAHR5lG0BAAAAAGiny0fn6MoxuXbHkCT1S3bqxUP6a2Ca2+4oAAAAAAAAAAAAQLdgWJZl2R0CAAAAAIDu4O+rq3XDglL5wvb8qD0+26tHJ/VVX3a0BQAAAAAAAAAAAOKGsi0AAAAAAHG0ujagmfNK9E2Fr8PWdJuGZo7O0a9HZMtpGh22LgAAAAAAAAAAANATULYFAAAAACDOwhFLj66s0p2LyxO+y+24bK/u3ae3hmd4EroOAAAAAAAAAAAA0FNRtgUAAAAAIEHW1gX0yPJKvbi+Vk1xLt0WZ7h1xtAsnVKUwW62AAAAAAAAAAAAQAJRtgUAAAAAIMFqAmE9v75WT6yq1pq6QJvncZnST/ulacbQTO2dmyTDoGQLAAAAAAAAAAAAJBplWwAAAAAAOohlWfq20qcFFT4tqvRpcZVPK2sCiuxmfKbb1Jgsr8ZmezUmy6v98pOU63V2aGYAAAAAAAAAAACgp6NsCwAAAACADZpCES2t9uvf68t089+eluFJkuH2yAqFZAWaNGn0cF1xzMEak52kLI/D7rgAAAAAAAAAAABAj0XZFgAAAACADmBZlj7e3qhXN9bp20qfVtb4FY7yJ/L+KS6Nzfbq0L4pOrp/mrwOM7FhAQAAAAAAAAAAAOxA2RYAAAAAgASqCYT17LoaPbm6Wmvrgu2eL8vt0ClF6Tp9SKYGpLrjkBAAAAAAAAAAAABASyjbAgAAAACQAA3BiO5cUq6nVlfLF+0WtjEwJB1WkKo/TMhTf0q3AAAAAAAAAAAAQMJQtgUAAAAAIM4+296oy77cpo0N7d/JtjXJTkPXjsvT6UMyZRpGwtcDAAAAAAAAAAAAehrKtgAAAAAAxElDMKJbF5Vp1qrqDl97//xk3T2xF7vcAgAAAAAAAAAAAHFG2RYAAAAAgDgoaQzqFx9u1sragG0ZUp2mZh9YoP3yk23LAAAAAAAAAAAAAHQ3lG0BAAAAAGin9XUBnfLhZm1qCNodRV6HoUf276vDClLtjgIAAAAAAAAAAAB0C5RtAQAAAABohy0NQR373kZtbQzZHWUHt2noiQMLdGDvFLujAAAAAAAAAAAAAF2eaXcAAAAAAAC6qip/WKd+uLlTFW0lKRCxdNbHW/RtRZPdUQAAAAAAAAAAAIAuj7ItAAAAAABtdN387VpTF7A7xi41hS1d+HmJmkIRu6MAAAAAAAAAAAAAXRplWwAAAAAA2uCtzXV6aUOd3TFatL4+qFsXldsdAwAAAAAAAAAAAOjSKNsCAAAAABCjSn9YV3293e4YUXl8ZZXmlTbaHQMAAAAAAAAAAADosijbAgAAAAAQoxvml6rMF7Y7RlQsSTO/3KamUMTuKAAAAAAAAAAAAECXRNkWAAAAAIAYrKkN6MUNtXbHiMn6+qBe6mKZAQAAAAAAAAAAgM6Csi0AAAAAADF4ak213RHaZPaqalmWZXcMAAAAAAAAAAAAoMuhbAsAAAAAQJSaQhE9u7bG7hht8l21X/MrfHbHAAAAAAAAAAAAALocyrYAAAAAAETplY11qglG7I7RZk+srrY7AgAAAAAAAAAAANDlULYFAAAAACBKz67rmrva/uC1jXVqDHXdsjAAAAAAAAAAAABgB6fdAQAAAAAA6ApCEUsLK32tjtt66oio5su57gl5Ru6j+jeeUGD51wquX6pw2Ra5i/dW7vVP7fa8pq/fU8PrsxTcsEyKROTILVDKUacr5ZCTW10zELH0XZVPe+clR5URAAAAAAAAAAAAAGVbAAAAAACisrLWL1/YanVc7k1zm31d9+LDCiydp5xrZzc77iwYIklqfG+uDE+SPKP2lW/+By3OXffKX1X3zH1KPvQUpR5zngynU6Gta6VQMOrrWFTlp2wLAAAAAAAAAAAAxICyLQAAAAAAUVhc6Y9qnHvo+GZfm+lZkmHudPwHeXe+LsM0JUmlVxy923kDa5eo7pn7lHbKTKVNO2fHcc/o/aLK9YNFUezOCwAAAAAAAAAAAOC/TLsDAAAAAADQFSxMUEn1h6JtaxreniPD5Vbqkae1az3KtgAAAAAAAAAAAEBs2NkWAAAAAIAorK4N2Lp+YNnXchYUqWne26p76SGFt22UmZWn5EnTlHbiRTKc7qjmWV0XkGVZMgwjwYkBAAAAAAAAAACA7oGyLQAAAAAAUWgKR2xdP1y1XZG6StU88Seln3SxnAWD5V/yhepffVThihJl/eauqOaJWFIgYsnjoGwLAAAAAAAAAAAARIOyLQAAAAAAUfCFLXsDRCxZTQ3KuuhuJe3/U0mSZ9S+svxNanjzCaWdcJGcvQdENZUvbMnjSGRYAAAAAAAAAAAAoPsw7Q4AAAAAAEBXYPdGsGZapiTJM3ZSs+Oe8ZMlScF1S6Oey2Gwqy0AAAAAAAAAAAAQLcq2AAAAAABEweuw90doV/9hu37A+s+Ou2b0BVqv3c1hAAAAAAAAAAAAoAuhbAsAAAAAQBQy3Pb+CO2deLgkybfwo2bH/d9+JBmmXEVjoponxWnIGUMxFwAAAAAAAAAAAOjpnHYHAAAAAACgKxiV6dW7WxviPm9gzWKFy7dIkqymekUsS03z3pIkuYrGyJlXIElKPuh4Nb73jGoev0mRuiq5CobIv+RzNbz9tFIOO3XHuGiuAwAAAAAAAAAAAED0KNsCAAAAABCFsdmehMzb8PYcNX30crNjVfddKknKPP8WOQ86XpJkOF3K+f3jqp17r+pf/qsi9TVy5Bco/dSZSvnJmVGvNyabsi0AAAAAAAAAAAAQC8OyLMvuEAAAAAAAdHZbGoKa+Npau2O02/379NYJgzLsjgEAAAAAAAAAAAB0GabdAQAAAAAA6Ar6JjuV43HYHaPdxrKzLQAAAAAAAAAAABATyrYAAAAAAETBMAxN7pVsd4x26Z3k1OA0t90xAAAAAAAAAAAAgC6Fsi0AAAAAAFE6fUim3RHa5ZeDM+QwDbtjAAAAAAAAAAAAAF0KZVsAAAAAAKK0T16Shmd0zZ1hHYb0i8GZdscAAAAAAAAAAAAAuhzKtgAAAAAARMkwDE3vorvbHtkvVb2TnHbHAAAAAAAAAAAAALocyrYAAAAAAMTg5wPTlersej9OnzEky+4IAAAAAAAAAAAAQJfU9d4dBAAAAADARmkuh64el2t3jJj8tDBV+/dKtjsGAAAAAAAAAAAA0CVRtgUAAAAAIEbTh2Rqv/wku2NEJdvj0C179rI7BgAAAAAAAAAAANBlUbYFAAAAACBGpmHo7om9lew07I7Sqj/tma9cr9PuGAAAAAAAAAAAAECXRdkWAAAAAIA2GJDq1jXj8uyO0aKfFqZqWv90u2MAAAAAAAAAAAAAXRplWwAAAAAA2mjGkEz9oijD7hi7NDrLo7v27m13DAAAAAAAAAAAAKDLo2wLAAAAAEAbGYah2/bqpaML0+yO0syQdLeePqif0t0Ou6MAAAAAAAAAAAAAXR5lWwAAAAAA2sFhGvq//frohIHpdkeRJI3K9OiFgwuV43XaHQUAAAAAAAAAAADoFgzLsiy7QwAAAAAA0NVFLEu3LizXQ8srbctwYK9kPfL/7N15nF11fTfw77n3zpLJ7JMNsgAhYU8EBOOOSx9xpW59KlLF2mqtYgtYa13AluJWRHlqXWqtGhfEDbFU21qRzaphJ0BACDvZyayZzH7P84dCDclN7qxn7sz7/Vfuuef8vp/fn+d1P/nNcw6OJifaAgAAAAAAwIRRtgUAAIAJ9Kvtu+PcdVvj4d6hKZs5t5DEeccviD86vCmSJJmyuQAAAAAAADAbKNsCAADABNs9XIyPr98R/3pv56TPeu7CuvjkyYtiaX3VpM8CAAAAAACA2UjZFgAAACbJTY/3xRfuaY//2rQrihP89n1Ca2289YiWeM0hDU6zBQAAAAAAgEmkbAsAAACTbFPvUFz6QFd88/7O2NE/MuZ1avNJvHpZY7x5ZXM8rbV2AhMCAAAAAAAApSjbAgAAwBQZGC7Gvz/aEz/b0hvrO/pjc+9Q9BdL399UlcTTWufE6tbaWNVaG89dWBfN1fmpCwwAAAAAAABEIesAAAAAMJP1DRfjykd74ocPd8dt7f3RObifdu1TDBQjdg0XY24hF2vmz1G0BQAAAAAAgAw42RYAAAAmwUM9g/H1+zvjsge6RlWwLaUqF/GKJQ1x5srmOHnenEiSZAJSAgAAAAAAAAeibAsAAAATaEf/cJx38/a48tGeSZuxqqUmPnHyonhaa+2kzQAAAAAAAAB+Q9kWAAAAJkCapvHDR3rigzdvm5CTbA8kn0S88+jWOOfYtqjJ5yZ9HgAAAAAAAMxWyrYAAAAwTjv6h+P9N22L/3hs15TPPqqpOj695qBY7ZRbAAAAAAAAmBTKtgAAADAO93UNxBuueSy29g1nlqEqF/GZZx4cr1rWkFkGAAAAAAAAmKmUbQEAAGCM7mjvj9OveSw6BkeyjhK5JOKikxfFG5Y3ZR0FAAAAAAAAZhRlWwAAABiDe7sG4jVXPRKdg8WsozwpiYjPPPOgeM2hjVlHAQAAAAAAgBkjl3UAAAAAqDRbdg/F6dc8Nq2KthERaUT85botcc2W3qyjAAAAAAAAwIyhbAsAAACjkKZp/PWN22Jr33DWUfZpJI04Z92W6BgYyToKAAAAAAAAzAjKtgAAADAK33mwO342zU+O3d4/Euffsj3rGAAAAAAAADAjKNsCAABAmTbvHoq/vbUySqyXP9wdP9m0K+sYAAAAAAAAUPGUbQEAAKBM779pW3QPFbOOUbb33bg1ugdHso4BAAAAAAAAFU3ZFgAAAMpwZ0d//HRzb9YxRmV7/0h8+8GurGMAAAAAAABARVO2BQAAgDJ8bWNn1hHGZO3GziimadYxAAAAAAAAoGIp2wIAAMABdA+OxOUPdWcdY0we7BmKn2/bnXUMAAAAAAAAqFjKtgAAAHAA33uoO/pGKvd02Eo9lRcAAAAAAACmA2VbAAAAOIDvV+iptk/4r027ontwJOsYAAAAAAAAUJEKWQcAAACA6WxgpBh3dfYf8L7Npx9V1npt562NmmPWxK4fr43Be26KoYc2xMiOTVF99Mkx7/yv73X/4xe8KQbvvrHkegs/f33km+fvd2YxjbijYyCes7CurIwAAAAAAADA/1K2BQAAgP34dddgDBUPfN+8Cy7b43PP5Z+PwQ3rou1DX93jemHxioiI2H3VZZHUzImaY58Z/bdcXXLdprd+ONK+XXtcSwf6Y+fH3xZVy485YNH2CXd09CvbAgAAAAAAwBgo2wIAAMB+3N5+4FNtIyKqVx6/x+dcY0tEktvr+hPmX/SjSHK5iIjY/t5XlVy3asmKva7tvvYHESNDUffCPygrW0T5+wAAAAAAAAD2lMs6AAAAAExnd0xSSfWJou1Y7L7m+5HU1sWcZ72s7GfWK9sCAAAAAADAmCjbAgAAwH48uGso6wh7GN7yUAzec1PMedYrIlc7t+znHto1FMU0ncRkAAAAAAAAMDMp2wIAAMB+9I8Us46wh93XfD8iIupe+LpRPzswomwLAAAAAAAAo6VsCwAAAPsxnQqq6chw7L7uiigsWRnVK48f9fMDxemzFwAAAAAAAKgUyrYAAACwH4VcknWEJw3cel0UO3dE3QtfP6bnq5LpsxcAAAAAAACoFMq2AAAAsB+1+elTUN19zfciClVR97zTxvR8zTTaCwAAAAAAAFQKZVsAAADYj5bqfNYRIiJipHNH9N92XdSe9HuRa2gZ9fONVblpdUovAAAAAAAAVIpC1gEAAABgOjuupSb+c9OuCV938P47YuTxTRERkfbtimKaRt+6/4yIiKrlq6Iwf/Ee9+++7oqIkeGoe+HrxzTvuJbaceUFAAAAAACA2UrZFgAAAPZjdevklFR7f/LN6Lvuij2udVxydkRENL/jo1E45bV7fLf7mu9Hfv7iqFn17DHNW91aM6bnAAAAAAAAYLZL0jRNsw4BAAAA09WO/uE4/or7s44xbp971kHx+4c0Zh0DAAAAAAAAKk4u6wAAAAAwnc2vLcSiOZX/h2FWTdIJvQAAAAAAADDTKdsCAADAAbzooLlZRxiXQ+ur4rD6qqxjAAAAAAAAQEVStgUAAIADePOK5qwjjMubVjRHkiRZxwAAAAAAAICKpGwLAAAAB7CqtTZOaKvNOsaY1OaT+L+HNWUdAwAAAAAAACqWsi0AAACU4cwKPd32tGUN0VqTzzoGAAAAAAAAVCxlWwAAACjDq5Y1xLwKLK2+ZWVL1hEAAAAAAACgoinbAgAAQBlq87m44MQFWccYlTOWN8XTWmuzjgEAAAAAAAAVTdkWAAAAynTasoZ4+ZL6rGOUZXFdIc47YX7WMQAAAAAAAKDiKdsCAABAmZIkiY+etDBaqvNZRzmgTz5jUTRUTf+cAAAAAAAAMN0p2wIAAMAozK8txEdOWpB1jP064/CmeP6iuVnHAAAAAAAAgBlB2RYAAABG6feXNcY5x7ZlHWOfnrewLv7+xOldBgYAAAAAAIBKomwLAAAAY/Ce49riT45oyTrGHp7eVhv/+tzFUZP3ug8AAAAAAAATJUnTNM06BAAAAFSiNE3j4+sfj3+6uz3rKPGcBXXxlectjrlVirYAAAAAAAAwkZRtAQAAYJy+fG9HXHjbjhgoZvOK/QeHNsbHT14YtU60BQAAAAAAgAmnbAsAAAAT4L6ugThn3da4tb1/ymYurM3Hx09eFC9ZXD9lMwEAAAAAAGC2UbYFAACACTJcTOOLv26PT96xc9JPuX3doY3xdycsiJaa/KTOAQAAAAAAgNlO2RYAAAAm2IM9g/Hlezviuw91R89QccLWzScRpy6ujz9e2RLPXlg3YesCAAAAAAAApSnbAgAAwCTpHSrG9x/qin+5tyMe6Bka8zoLavNxxuHN8cbDm+LguqoJTAgAAAAAAAAcSCHrAAAAADDTPN4/HN96oCuu2twbd3X2x+7h0f0/1/pCEqtaauNlS+vj+NY5sbq1NqpyySSlBQAAAAAAAPbHybYAAAAwAdI0jZse74u1Gzvj3x/tiaHi+Nd0oi0AAAAAAABkT9kWAAAAxunWnX3x/pu2xR0dA5Oyfj6JeN2hjXH+8QuipSY/KTMAAAAAAACAfVO2BQAAgDHqHynGp+/cGZ+7pz2KU/B2vaA2H584eVG8ZHH95A8DAAAAAAAAIkLZFgAAAMbk1p19ce66rXFv9+CUz37tIY1xwYlOuQUAAAAAAICpoGwLAAAAo3TFw93xl7/aEsMZvlEfMrcqLnvhklhWX51dCAAAAAAAAJgFlG0BAABgFL6+sTPef9O2mA4v04vmFOKyFyyJlU01WUcBAAAAAACAGUvZFgAAAMr0nQe74px1W7OOsYdFcwrxgxcvdcItAAAAAAAATJJc1gEAAACgEvz3pl3xnhumV9E2ImJr33C84erHon1gOOsoAAAAAAAAMCMp2wIAAMABPN4/HOfesDWK0/RvwzzcOxQfuGl71jEAAAAAAABgRlK2BQAAgAP44M3bo31gJOsY+3Xloz3x74/2ZB0DAAAAAAAAZhxlWwAAANiPKx+pnBLrB27aFu0Dw1nHAAAAAAAAgBlF2RYAAABK6BgYiQ/evC3rGGXbOTAS5928PesYAAAAAAAAMKMo2wIAAEAJ37i/M3YOjGQdY1SueKQnHuwZzDoGAAAAAAAAzBjKtgAAALAPI8U0vr6xM+sYY1KpuQEAAAAAAGA6UrYFAACAfbhqS29s2j2cdYwx+faDXdE3XMw6BgAAAAAAAMwIyrYAAACwD1+r4NNhOweL8W+P9GQdAwAAAAAAAGYEZVsAAAB4isf7h+PqLb1ZxxiX7z3UnXUEAAAAAAAAmBEKWQcAAACA6ea29v6y7tt8+lFl3dd23tqoOWZN7Prx2hi856YYemhDjOzYFNVHnxzzzv/6Pp8ZuOtX0XPFF2P4kXsiHeiP/IIlUfei18fcl5wRSS5/wJnr2/ujmKaRS5KyMgIAAAAAAAD7pmwLAAAAT3FHmWXbeRdctsfnnss/H4Mb1kXbh766x/XC4hUREbH7qssiqZkTNcc+M/pvubrkugN3/CJ2fuxPo/rok6LpbX8fuZo50X/zz6J77UdjZNuj0XTmBw+YbddwMR7oGYoVjdVl7QUAAAAAAADYN2VbAAAAeIrbyyzbVq88fo/PucaWiCS31/UnzL/oR5HkchERsf29ryq57u5rfxBRKETre78Qudq6iIioWfXsGN7yYOy+9gdllW0jfnO6rbItAAAAAAAAjE8u6wAAAAAw3dzRMTAp6z5RtD2gQiGSQlUk1bV7Pl/XGElVTdnz1neUVxoGAAAAAAAASlO2BQAAgN/RN1yMrX3DmWaY+3tviHR4KLrWXhgj7dui2Nsdu6//YfTf+NOof9WflL3Ogz2Dk5gSAAAAAAAAZodC1gEAAABgOukbSbOOENUrnhbzPvTVaL/k7Nj9k0t/czGXj8Y3nBv1r3xr2ev0T4O9AAAAAAAAQKVTtgUAAIDfMTBSzDpCDD5wZ7Rf/O6oWrE65v7p30VSMycG7loX3d+5JNKhgWh47TvLWqd/GuwFAAAAAAAAKp2yLQAAAPyOQi7JOkJ0feXvI9fUFq3v+adIcvmIiKg59pkRSRI93/unmPOcV0Vh4dIDrlOVZL8XAAAAAAAAqHS5rAMAAADAdFIzDcq2Qw/fHVXLj32yaPuE6sNXRaTFGN50f1nr1OSz3wsAAAAAAABUOmVbAAAA+B11hVxUZ1y4zbcsiKEH7oy0OLLH9cH7bvvN922LylqnpSZ/4JsAAAAAAACA/SpkHQAAAACmk0IuiWOaa+K29v4JX3vw/jti5PFNERGR9u2KYppG37r/jIiIquWrojB/cUREzH3ZmdG99iPRftGfR92L/zCS6toYvOtXsetHX4nq454dVYccVda841pqJ3wPAAAAAAAAMNso2wIAAMBTrGqdnLJt70++GX3XXbHHtY5Lzo6IiOZ3fDQKp7w2IiLqX/qmyLcujN4fr42uL34o0sGByM9fHA2vfVfMffmZZc9brWwLAAAAAAAA45akaZpmHQIAAACmk0vv74z33rgt6xjjdvdrV0RjdT7rGAAAAAAAAFDRclkHAAAAgOlmdWvlnwh7WEOVoi0AAAAAAABMAGVbAAAAeIqjmmpiYW1lF1VfsGhu1hEAAAAAAABgRlC2BQAAgKco5JI44/DmrGOMy5tXNGcdAQAAAAAAAGYEZVsAAADYhzce3hT5JOsUY/OsBXPiiKaarGMAAAAAAADAjKBsCwAAAPtwUF1VnLq4PusYY3LmipasIwAAAAAAAMCMoWwLAAAAJfzxysorrS6aU4iXLqnMkjAAAAAAAABMR8q2AAAAUMKzF9bFacsaso4xKhc+fUFU5ZKsYwAAAAAAAMCMoWwLAAAA+/GRpy+IeTX5rGOU5dXLGuJlSyqrHAwAAAAAAADTnbItAAAA7EdrTSE+dtLCrGMc0LyafPz906d/TgAAAAAAAKg0yrYAAABwAC9f2hC/v2x6nxj78ZMXRmuFnMALAAAAAAAAlUTZFgAAAMpw0cmL4sS22qxj7NP7Vs2Lly2Z3mVgAAAAAAAAqFTKtgAAAFCGuVW5+PopS+KY5pqso+zhz49qiXcf05p1DAAAAAAAAJixkjRN06xDAAAAQKXoGBiJN1/3WNyysz/rKHHOsW3xnuPaIkmSrKMAAAAAAADAjKVsCwAAAKPUO1SMs9dtiR8/tiuT+TW5JM4/YX68ZWVLJvMBAAAAAABgNlG2BQAAgDFI0zR++EhPfPDmbdE5WJyyuSe21can1yyKFY01UzYTAAAAAAAAZjNlWwAAABiHHf3D8f6btsV/TPIptzW5JP569bx42xEtkc8lkzoLAAAAAAAA+F/KtgAAADBOaZrG1Vt64yv3dcbVW3pjIl+06wu5+IPDGuNPjmiJwxqqJ3BlAAAAAAAAoByFrAMAAADATDC3kIsT22pjqJjGLTv7ond4fJXbo5tr4swVzfHaQxpjblVuglICAAAAAAAAo6VsCwAAAGPUPTgS33+oO9Zu7Iz7ugfHtVZVLuK45tr4/WUN8bxFc+PIpupIkmSCkgIAAAAAAABjlaRpOpF/3RIAAABmvK19w/HpOx+Pyx/ujt3jPMH2qQpJxMuWNMS5x7XFEU01E7o2AAAAAAAAMHrKtgAAAFCmNE3jew91x4dv2R5dQ8VJnVWdS+Lc49riz49qjULOCbcAAAAAAACQFWVbAAAAKMPWvuF4341b46ebe6d07tNaa+PTaxbFkU65BQAAAAAAgEwo2wIAAMABXLe1N97xP5sn/TTbUqpzSVz49AVxxuHNmcwHAAAAAACA2UzZFgAAAPbjR4/2xLt+uTky6tnu4YNPmxfvPLot6xgAAAAAAAAwqyjbAgAAQAk/erQn3vGLzVGcRm/O7189L846RuEWAAAAAAAApkou6wAAAAAwHV27pTfe9cvpVbSNiPjY+sfjaxs7s44BAAAAAAAAs4aTbQEAAOAptvYNx4t+/GB0DRWzjrJPuSTiyt9bFse3zck6CgAAAAAAAMx4TrYFAACA35Gmabzvxq3TtmgbEVFMI85ZtzUGRqZvRgAAAAAAAJgplG0BAADgd3z/oe746eberGMc0L3dg/Hpu3ZmHQMAAAAAAABmPGVbAAAA+K2tfcNx/i3bs45Rts/d3R637ezLOgYAAAAAAADMaMq2AAAA8Fv/766d0TVUzDpG2UbSiAtv35F1DAAAAAAAAJjRlG0BAAAgInqGRuL7D3VlHWPUfrm9L+7tGsg6BgAAAAAAAMxYyrYAAAAQEd9/qDt6h9OsY4zJ1zZ2Zh0BAAAAAAAAZixlWwAAAGa9NE0rurD63Qe7o3eomHUMAAAAAAAAmJGUbQEAAJj1bnq8L37dNZh1jDHbNVyMHz7SnXUMAAAAAAAAmJGUbQEAAJj1frm9L+sI4zYT9gAAAAAAAADTUSHrAAAAAJC19R39B7xn8+lHlbVW23lro+aYNbHrx2tj8J6bYuihDTGyY1NUH31yzDv/6/t8pv/266Pn8s/F0IMbIilURfXRJ0XjG94TVUtXTugeAAAAAAAAgNFTtgUAAGDWW99+4KLqvAsu2+Nzz+Wfj8EN66LtQ1/d43ph8YqIiNh91WWR1MyJmmOfGf23XF1y3b6broqOT50VtU9/cTSc849R3N0Tuy7/bDz+d38U8z/y3SgsXFbWHu7vHoxdQ8Wor/JHbAAAAAAAAGAiKdsCAAAwq7UPDMem3cMHvK965fF7fM41tkQkub2uP2H+RT+KJPeb4uv2976q5Lo93/pkFJYeES3nfiaSJPnNrCNOiO3nvjR6vvuP0XLWJ8vaRxoRd3X0x5oFdWXdDwAAAAAAAJTHcTcAAADMahs6ByZl3SeKtvtT7OmI4c0PRu3xz3+yaBsRUZi/OKqWroz+m66KtDhS9sy7uyZnLwAAAAAAADCbKdsCAAAwq/UMFTObnQ4P/eYfhaq9vyxURzrQFyPbHil7vSz3AgAAAAAAADOVsi0AAACz2sBImtnsXNO8SOqbYvDeW/e4XuztjuHH7vvNv3s6y16vP8O9AAAAAAAAwEylbAsAAMCslmbYT01yuZj7kjNi8M5fRs/ln4uRrp0xvPXh6PjseyMd6P/NTbnyX92z3AsAAAAAAADMVIWsAwAAAECWavJJpvMbXvvOSPt7o+cHn4+e7/7jbzKdcErUnfLa2H31dyPfsrDstWoz3gsAAAAAAADMRMq2AAAAzGpzC9n+0ZckX4imN70/Gv7gL2Jk+2ORa2iJfMuC2PmxP4n8giWRb1tU9lp1Ge8FAAAAAAAAZiK/wgEAADCrHdFUnXWEiIjI1c6NqmVHRr5lQQw+eFcM3PmrmPvSN49qjemyFwAAAAAAAJhJnGwLAADArLZoTiHm1+ZjR//IhK47eP8dMfL4poiISPt2RTFNo2/df0ZERNXyVVGYvzgiIgY2rIuh+++MwrIjItKIofvXx64rvxQ1T3tuzD31jFHNXNVSO6F7AAAAAAAAAJRtAQAAmOWSJIlVLbXxsy29E7pu70++GX3XXbHHtY5Lzo6IiOZ3fDQKp7z2N/MLVdF3w09i+Aefj3R4MAqLDomG17875r70TZHk8mXPWza3Klpqyr8fAAAAAAAAKE+SpmmadQgAAADI0kV3PB6X3LUz6xjj8oql9fHF5yzOOgYAAAAAAADMOLmsAwAAAEDWnjFvTtYRxu3kGbAHAAAAAAAAmI6UbQEAAJj1nruwLhbXFbKOMWY1uSRed2hj1jEAAAAAAABgRlK2BQAAYNbL55J404rmrGOM2SuXNURrTeWWhQEAAAAAAGA6U7YFAACAiDh9eVNUVehb8pkVXBQGAAAAAACA6a5Cf0YEAACAiTWvthCvXNqQdYxRO7a5Jk5sq806BgAAAAAAAMxYyrYAAADwW2cf2xY1uSTrGKPyN6vnRZJUVmYAAAAAAACoJMq2AAAA8FsrGmvir1a1ZR2jbH94WGO86OD6rGMAAAAAAADAjKZsCwAAAL/jz45sjRPaarOOcUCL5hTiwycsyDoGAAAAAAAAzHjKtgAAAPA78rkkLlmzKGpySdZR9uuikxdGU3U+6xgAAAAAAAAw4ynbAgAAwFOsaKyJj520MOsYJb3r6NZ40cH1WccAAAAAAACAWUHZFgAAAPbhD5c3xYdPmJ91jL2ccXhTvH/1vKxjAAAAAAAAwKyhbAsAAAAlvP3I1jjv+OlTuD3j8Kb42NMXRpIkWUcBAAAAAACAWSNJ0zTNOgQAAABMZ5fe3xl/c9O2GMnwDfpdR7fG+1fPU7QFAAAAAACAKaZsCwAAAGW4o70/zlm3Je7uGpzSuYvmFOKikxfGiw6un9K5AAAAAAAAwG8o2wIAAECZBkfS+H8bdsZnNuycklNu33BYU5x/wvxoqs5P/jAAAAAAAABgn5RtAQAAYJTuaO+Pj9y+I67ftntS1l/VUhPvWz0/XnjQ3ElZHwAAAAAAAChfIesAAAAAUEl29A/Hddt6I59ENFXnomuwOCHr1uSSOG1ZQ5y5sjmOb62NJEkmZF0AAAAAAABgfJRtAQAA4ADSNI0bH++Ltfd1xo8e64mhienXxvzafKyZPyeeMb8uXnNIY7TW5CdmYQAAAAAAAGDCKNsCAADAfvzPtt3x4Vu3x92dAxO+9o7+kbjp8f54/qK50VKdm/D1AQAAAAAAgPFL0jRNsw4BAAAA003vUDE+cvuOWLuxc0rmPX9hXXzyGYti8dyqKZkHAAAAAAAAlEfZFgAAAJ7if7btjvfcsDUe7R2a0rn1hVycf8L8eOPypkiSZEpnAwAAAAAAAPumbAsAAAC/4wv3tMff37Yj0wyvXtYQlzzzoKjKKdwCAAAAAABA1pRtAQAAICLSNI1P3PF4fGZDe9ZRIiLiRQfNjS8+5+CYU8hlHQUAAAAAAABmNb/YAQAAQERcfOfOaVO0jYj42Zbe+LNfbI6hov8jCwAAAAAAAFlStgUAAGDW+/K9HfHpu3ZmHWMvV23ujXPWbQl/lAYAAAAAAACyo2wLAADArHZXR3/83a3bs45R0g8e7onvPNiddQwAAAAAAACYtZRtAQAAmLWGimmce8PWGJ7mB8f+7a3bY/PuoaxjAAAAAAAAwKykbAsAAMCs9U8bdsadHQNZxzig7qFivO/GbZGm07wVDAAAAAAAADOQsi0AAACz0t2dA3HJXTuzjlG2n23pje882J11DAAAAAAAAJh1lG0BAACYlf5xw84YrrCDYi+5a2eMFCssNAAAAAAAAFQ4ZVsAAABmne19w/HjR3uyjjFqj/QOxTVbe7OOAQAAAAAAALOKsi0AAACzzqUPdFXcqbZPWLuxM+sIAAAAAAAAMKso2wIAADCrDBfT+EYFF1Z/trk3Htk1mHUMAAAAAAAAmDWUbQEAAJhV/mfb7tjSN5x1jDFLI+J7D3VnHQMAAAAAAABmjULWAQAAAGAq3byz74D3bD79qLLWajtvbeRbFkTvVd+JwQ3rYnjboxFJLgqLl0f9y8+MOWteutczI107o/vSi2LglmsiHeyPwiFHRuP/PTtqjntW2Xu4ZWd/2fcCAAAAAAAA46NsCwAAwKyyvv3ARdV5F1y2x+eeyz8fgxvWRduHvrrH9cLiFdF3/RUxcOu1Med5p0XV8lURxZHo++WPo+OSs2P49e+Ohte968n706HB2PmRt0Sxtycaz/xg5BpbY/d/Xxo7P/62aPvAl6PmmGeUvYc0TSNJkrLuBwAAAAAAAMZO2RYAAIBZ5Y6OgQPeU73y+D0+5xpbIpLcXtcjImqf9Yqoe8kZexRfa49/fhR7OmLXlV+K+tPeFklVdURE7L76ezH86H0x7+++FdVHnBARETXHrokd73t1dF/6yZh/4XfK2sPOgZHYvHs4Fs+tKut+AAAAAAAAYOxyWQcAAACAqbKtbzi29g1P6Jr5xpZ9njBbffjqSAf6orir88lrfTf+NAoHH/Zk0TYiIskXYs5zXxVD96+PkfZtZc9d33HgE3oBAAAAAACA8VO2BQAAYNbY2D04ZbMGNqyLXGNr5Jranrw2/Nh9UVh65F73Vi37zbWhx+4re/2p3AsAAAAAAADMZsq2AAAAzBp9I8UpmdP7s+/G4IYbov4174gkl3/yerGnM3L1TXvd/8S1Yk9n2TP6htNx5wQAAAAAAAAOTNkWAACAWaN/ZPILqv23XRddX7kgatecGnNPfdPeNyRJyWeT/Xy315wpKg4DAAAAAADAbKdsCwAAwKyRL7/LOib9t18f7Z96d9Ssena0nHXRXuXZXEPzPk+vLe7qioiIZB+n3paSH0UxFwAAAAAAABg7ZVsAAABmjdr85L0G999+fbRffFbUHH1ytJ7zmUgK1XvdU7V0ZQw/eu9e14d+e61qycqy59VOdnMYAAAAAAAAiAhlWwAAAGaRpurJeQ3uX//zaL/4rKg+8unR+p7PRlK1d9E2IqL25P8Tw5sfiMGNtz95LR0Zjr6fXxlVK54W+daFZc9sqs6POzcAAAAAAABwYIWsAwAAAMBUObqpJnJJRDGduDUH7rk5Oi4+K/LN86Lh1W+PoYfv3uP7wuIVkaurj4iIuhe8Lnp/cml0XHJ2NJx+buQb26L3v78Vw1sejLYPfHlUc49tqZmwPQAAAAAAAAClKdsCAAAwa8wp5GJlY3X8umtwwtYcuPMXkQ72x8iOTbHzwrfs9X3beWuj5pg1ERGRVFVH2we/Et2XXhRdX70w0oH+qDr0qGh73xej5phnjGruccq2AAAAAAAAMCWSNE0n8DwfAAAAmN7+8ldb4nsPdWcdY1yWN1TF9a9YnnUMAAAAAAAAmBVyWQcAAACAqbS6tTbrCOO2uqXy9wAAAAAAAACVQtkWAACAWeW5C+uyjjBuz5kBewAAAAAAAIBKoWwLAADArHJkU02smT8n6xhj1lCVi1cf0ph1DAAAAAAAAJg1lG0BAACYdc5c0Zx1hDH7v4c1Rl3B6zwAAAAAAABMFb/OAQAAMOu8bElDzKvJZx1jTN5cwUVhAAAAAAAAqETKtgAAAMw61fkk3nh4U9YxRu25C+tiRWNN1jEAAAAAAABgVlG2BQAAYFZ659GtcXBdIesYZavKRXz4hPlZxwAAAAAAAIBZR9kWAACAWamhKh+fPHlR1jHK9pfHtMUxzbVZxwAAAAAAAIBZR9kWAACAWeuUg+bGGcubso5xQKtaauKsY9qyjgEAAAAAAACzkrItAAAAs9p5J8yPxXWFrGOUVJWL+NSaRVGVS7KOAgAAAAAAALOSsi0AAACzWkNVPr78vMXRWDX9XpGTiPj0Mw6KY5prs44CAAAAAAAAs9b0+yURAAAApthxLbXxtecvjjn56XV67EeeviBec2hj1jEAAAAAAABgVkvSNE2zDgEAAADTwY2P98Wbr30suoeKmeZIIuITJy+MMw5vzjQHAAAAAAAAoGwLAAAAe7izoz/+9Oeb49HeoUzm1xdycfGaRfHKpQ2ZzAcAAAAAAAD2pGwLAAAAT9E7VIyP3L4j1m7snNK5z19YF598xqJYPLdqSucCAAAAAAAApSnbAgAAQAk/39Ybf3XDtkk/5ba+kIvzT5gfb1zeFEmSTOosAAAAAAAAYHSUbQEAAKCE3qFi/MdjPfHN+7vitvb+GCxO7Ct0Q1UuXn9oY/z5Ua1OswUAAAAAAIBpqpB1AAAAAJhu7u0aiK9t7IzvPdQdPUPFCV//6OaaeMuK5njNIY0xtyo34esDAAAAAAAAE0fZFgAAAH7r6i298dm7d8Yvt/dN+NoNVbl4waK6+LOjWuP41tpIkmTCZwAAAAAAAAATL0nTdGL/BiYAAABUmI6BkTj/lu1x+cPdkz7rhLbauGTNoljRWDPpswAAAAAAAIDxU7YFAABgVvvJpl3xvhu3xvb+kSmbWZNL4r2r5sXbj2yJfM4JtwAAAAAAADCdKdsCAAAwKw0X0/jATdvimw90ZZbhpHm18eXnLo622kJmGQAAAAAAAID9U7YFAABg1ukfKcY7f7El/mvTrqyjxIrG6rj0lCWxeG5V1lEAAAAAAACAfVC2BQAAYFYZHEnjrT/fFFdv6c06ypOWza2Ky1+8NA6qU7gFAAAAAACA6SaXdQAAAACYKiPFNP7iV1umVdE2IuKR3qF44zWPRfvASNZRAAAAAAAAgKdQtgUAAGDW+MKv2+PKR3uyjrFP93YPxjnrtoQ/QAMAAAAAAADTi7ItAAAAs8K9XQPxyTt2Zh1jv366uTe+/1B31jEAAAAAAACA36FsCwAAwIw3XEzj3HVbY7A4/U+NPf+W7bG1bzjrGAAAAAAAAMBvKdsCAAAw4/3zr9vj1vb+rGOUpWuoGO+7cWuk6fQvBgMAAAAAAMBsoGwLAADAjNY+MBKfunNn1jFG5aebe+P6bbuzjgEAAAAAAACEsi0AAAAz3Hce7Ir+kco7JfZrGzuzjgAAAAAAAACEsi0AAAAzWDFN4+sVWlr9r027YvPuoaxjAAAAAAAAwKynbAsAAMCMdd3W3fHQrsosrBbTiG/e35V1DAAAAAAAAJj1lG0BAACYsb5xf2fWEcbl0vs7Y6SYZh0DAAAAAAAAZjVlWwAAAGakNE3jl9t3Zx1jXLb3j8TGnsGsYwAAAAAAAMCsVsg6AAAAAEyGR3qHonOweMD7Np9+VFnrtZ23NvItC6L3qu/E4IZ1Mbzt0YgkF4XFy6P+5WfGnDUv3eP+kZ1bY9e/fzmGHtoQQ4/8OtLdPdH8jo9G3SmvHdU+1rf3x5FNNaN6BgAAAAAAAJg4yrYAAADMSOvbB8q6b94Fl+3xuefyz8fghnXR9qGv7nG9sHhF9F1/RQzcem3Med5pUbV8VURxJPp++ePouOTsGH79u6Phde968v7hbQ9H3/9cGYVDjo7a458ffb/40Zj2cUdHf/zBYU1jehYAAAAAAAAYP2VbAAAAZqQ7OvrLuq965fF7fM41tkQkub2uR0TUPusVUfeSMyJJkv+9dvzzo9jTEbuu/FLUn/a2SKqqf7PuUSfHoi/+MiIiBu+/Y8xl23JLwwAAAAAAAMDkyGUdAAAAACbDhs6JL6nmG1v2KNo+ofrw1ZEO9EVxV+eT15LcxLxyb+gsrzQMAAAAAAAATA5lWwAAAGakrsGRKZs1sGFd5BpbI9fUNuFr9w6nMVJMJ3xdAAAAAAAAoDzKtgAAAMxI/SNTU1Dt/dl3Y3DDDVH/mndEkstPyoyp2gsAAAAAAACwN2VbAAAAZqSpqKf233ZddH3lgqhdc2rMPfVNkzanOCW7AQAAAAAAAPZF2RYAAIAZqTaXTOr6/bdfH+2fenfUrHp2tJx1USTJ5M2rzXt9BwAAAAAAgKz4tQ4AAIAZqa4wea+8/bdfH+0XnxU1R58cred8JpJC9aTNqspFVE1ycRgAAAAAAAAoTdkWAACAGWll0+QUYPvX/zzaLz4rqo98erS+57ORVE1e0TYiYmVjzaSuDwAAAAAAAOxfIesAAAAAMBlWt9RO+JoD99wcHRefFfnmedHw6rfH0MN37/F9YfGKyNXVP/m5b91/RkTE8LbHIiJi8IE7I6mti4iIOWteWtbMydgHAAAAAAAAUD5lWwAAAGakVa0TfyLswJ2/iHSwP0Z2bIqdF75lr+/bzlsbNcesefJzxyVn7/H97p9cGrt/cmlERMz51j1lzZyMfQAAAAAAAADlS9I0TbMOAQAAABNtuJjGkd+/L/pHKvu199//z7I4oW1O1jEAAAAAAABg1splHQAAAAAmQyGXxPGttVnHGJc5+SSObnayLQAAAAAAAGRJ2RYAAIAZ6w+XN2UdYVxee0hj1Oa9ugMAAAAAAECW/GIHAADAjPWqpQ3RXF25r75vXtmcdQQAAAAAAACY9Sr3F0cAAAA4gDmFXJxeoafbnjSvNo5rqc06BgAAAAAAAMx6yrYAAADMaG9a0RxJ1iHG4M0rmrOOAAAAAAAAAISyLQAAADPcIfXV8YYKO932qKbqeNXSxqxjAAAAAAAAAKFsCwAAwCxw/vHz46A5haxjlCWfRHx6zUFRna/E83gBAAAAAABg5lG2BQAAYMZrrM7HP5y8MOsYZXnX0a2xurU26xgAAAAAAADAbynbAgAAMCu86OD6eMNhTVnH2K+jmqrj7GPbso4BAAAAAAAA/A5lWwAAAGaNvz1xfhzTXJN1jH1qqsrFZ591cNTkvaoDAAAAAADAdOIXPAAAAGaNhqp8XPqCJXFofVXWUfYwJ5/E105ZEkdN0yIwAAAAAAAAzGbKtgAAAMwq82sL8Z0XLo3DG6qzjhIREfWFXHz9lCVx0rw5WUcBAAAAAAAA9iFJ0zTNOgQAAABMtZ39w/FH1z4W6zsGMsvQVpOPb5yyJFa31maWAQAAAAAAANg/ZVsAAABmrYGRYnz6rp3xubvbY2SK345ftqQ+PnbSwphfW5jawQAAAAAAAMCoKNsCAAAw693e3h/nrNsSv+4anPRZLdX5+MjTF8RpyxoiSZJJnwcAAAAAAACMTy7rAAAAAJC1ZXOr4o8Ob4qjm2om7UW5KhfxukMb4+qXHxq/f0ijoi0AAAAAAABUCH+rEgAAgFnr9vb+WHtfR/zwkZ7oH5mcP/xycF0h3nR4c5x+eFPMr/UaDgAAAAAAAJXGr3wAAADMOldt3hWfunNn3NbePynrN1Xn4gWL5sbvL2uIFx9cH4WcU2wBAAAAAACgUinbAgAAMGt0Do7Eh2/ZHt97qHtS53QNFuOqzb3x3IV1kdezBQAAAAAAgIqWpGk6OX8nEwAAAKaRn27eFe+7cVts7Rue0rmnLKqLi05eFIvnVk3pXAAAAAAAAGBiKNsCAAAwoxXTNP721h3xr/d2ZJahoSoX//zsg+OUg+ZmlgEAAAAAAAAYG2VbAAAAZqzhYhrnrNsalz/cnXWUqMpFfPZZB8crljZkHQUAAAAAAAAYBWVbAAAAZqRimsZf/GpL/ODhnqyjPCmfRPzLcw6OU5co3AIAAAAAAEClyGUdAAAAACZamqbxoZu3T6uibUTESBrxjl9siZ9v6806CgAAAAAAAFAmZVsAAABmnB8+0hNrN3ZmHWOfBotpvPMXW2Jn/3DWUQAAAAAAAIAyKNsCAAAwo2zvG44P3rwt6xj7tXNgJD50y/asYwAAAAAAAABlULYFAABgxkjTNN5/07boHCxmHeWA/u2RnvjRoz1ZxwAAAAAAAAAOQNkWAACAGeOHj/TEf27alXWMsr3/pm3RPjCcdQwAAAAAAABgP5RtAQAAmBFGiml8fP3jWccYlZ0DI/HP93RkHQMAAAAAAADYD2VbAAAAZoSrt/bGo71DWccYtW890BUDI8WsYwAAAAAAAAAlKNsCAAAwI6y9rzPrCGOyc2AkfvTorqxjAAAAAAAAACUo2wIAAFDxHuoZjKu39GYdY8zWbuzIOgIAAAAAAABQgrItAAAAFe/bD3ZFmnWIcbjp8f64t2sg6xgAAAAAAADAPhSyDgAAAADjdcOOvgPes/n0o8paq+28tZFvWRC9V30nBjesi+Ftj0YkuSgsXh71Lz8z5qx56R73993wk+j/1X/G4AN3xkj7tsg3tUX1kSdGw+vOisJBh45qD0c01ZR9PwAAAAAAADA1lG0BAACoaMU0jTs7Dnwq7LwLLtvjc8/ln4/BDeui7UNf3eN6YfGK6Lv+ihi49dqY87zTomr5qojiSPT98sfRccnZMfz6d0fD69715P27/u1LkW+eFw2v/rPIL1gaIzu3xq4f/nPs+MBrY94F346qpSvL2sf6jv6y7gMAAAAAAACmlrItAAAAFe2BnqHYNVw84H3VK4/f43OusSUiye11PSKi9lmviLqXnBFJkvzvteOfH8Wejth15Zei/rS3RVJVHRERre/9fOSb2vZ4vubYNbHtL34vev9jbTS//cKy9nFHu7ItAAAAAAAATEe5rAMAAADAeKyfhJJqvrFlj6LtE6oPXx3pQF8Ud3X+771PKdpGRORbF0a+bWGM7NxS9sy7uwZiYOTApWEAAAAAAABgainbAgAAUNF+3TUwZbMGNqyLXGNr5PZRsP1dw9sejZEdm6OwZEXZaw8VIx7sGRpvRAAAAAAAAGCCKdsCAABQ0XqHp+Y02N6ffTcGN9wQ9a95RyS5fMn70pHh6PziByOprYv6l79ldDOmaC8AAAAAAABA+QpZBwAAAIDx6B9JJ3/GbddF11cuiNo1p8bcU99U8r40TaPznz8Yg/fcHC3n/GPk2w4a3Zwp2AsAAAAAAAAwOk62BQAAoKIlk7x+/+3XR/un3h01q54dLWddFEmy74lpmkbXFz8UfT+/Mprf8bGYc9KLRz1rsvcCAAAAAAAAjJ6TbQEAAKhoNfnJq6j23359tF98VtQcfXK0nvOZSArV+7zviaLt7msvj+a3Xxh1zzttTPMmcy8AAAAAAADA2DjZFgAAgIo2tzA5r7b9638e7RefFdVHPj1a3/PZSKr2U7T9l/Ni97WXR9Of/F3UveB1Y55ZX+U1HQAAAAAAAKYbJ9sCAABQ0Y5urpnwNQfuuTk6Lj4r8s3zouHVb4+hh+/e4/vC4hWRq6uPiIjur14Yu6/+XtS94HVRteyIGLzvtifvSwrVUXXYMWXNrM4lcVj9vgu9AAAAAAAAQHaUbQEAAKhoq1trJ3zNgTt/Eelgf4zs2BQ7L3zLXt+3nbc2ao5ZExER/bdcHRERu6/5fuy+5vt73Jefd3As/MzPypp5THNNVOeT8QUHAAAAAAAAJlySpmmadQgAAAAYq2KaxjGXb4yeoWLWUcblTSua4uMnLco6BgAAAAAAAPAUuawDAAAAwHjkkiSOa6nJOsa4rW6Z+BN6AQAAAAAAgPFTtgUAAKDiPXN+XdYRxu0ZM2APAAAAAAAAMBMp2wIAAFDx3rC8KZKsQ4zDM+fPiRWN1VnHAAAAAAAAAPZB2RYAAICKt2RuVfzewXOzjjFmb17ZnHUEAAAAAAAAoARlWwAAAGaEM1e2ZB1hTObX5uNlixuyjgEAAAAAAACUoGwLAADAjHDKoro4tL4q6xij9sblzVGdT7KOAQAAAAAAAJSgbAsAAMCMkEuS+MDT5mcdY1QW1ObjbUdW5om8AAAAAAAAMFso2wIAADBjvGJpQ5y2rCHrGGX7xMmLoqUmn3UMAAAAAAAAYD+UbQEAAJhRLjxxQbRVQIH1dYc2xksW12cdAwAAAAAAADgAZVsAAABmlLbaQnzspIVZx9ivhbX5uODEBVnHAAAAAAAAAMqgbAsAAMCM84qlDfH2I1uyjrFPtfkkvvCcg6O5evqfvgsAAAAAAAAo2wIAADBDnX/8/Dh9eVPWMfZQlYv40nMXxzPm12UdBQAAAAAAACiTsi0AAAAzUpIk8YmTFsYZh0+Pwm1tPol/fe7ieOFBc7OOAgAAAAAAAIxCkqZpmnUIAAAAmCxpmsbH1z8e/3R3e2YZmqtz8aXnLo5nLXCiLQAAAAAAAFQaZVsAAABmheu39sZf3bA1Hts9PKVzT11cHx8/aWEsmFOY0rkAAAAAAADAxFC2BQAAYNbYNVSMC2/fHl/f2DXps5qrc3HhiQvj1Yc0RJIkkz4PAAAAAAAAmByO1QEAAGBW6Bocie891B037Oib1Dlz8km89tDG+Kvj5jnNFgAAAAAAAGYAv/oBAAAwo93Z0R9fu68zLn+4O/pGJu+PuxzeUB1nrmyO1x/aGE3V+UmbAwAAAAAAAEwtZVsAAABmpI6BkTj/lu1x+cPdkzrn0Pqq+JvV8+KVSxsiSZJJnQUAAAAAAABMvSRN08k71gcAAAAy8JNNu+J9N26N7f0jUzKvsSoXf3figviDQxsVbgEAAAAAAGCGUbYFAABgxugZGokP3DT5p9mW8uKD58bFz1gU82v9IRkAAAAAAACYKZRtAQAAmBF29g/HGdc+Fnd0DGSa49D6qrjsBUtjaX1VpjkAAAAAAACAiaFsCwAAQMXb3jccf3D1o7GxezDrKBERsWhOIb77oqWxvKE66ygAAAAAAADAOOWyDgAAAADj0Tk4Em+8ZvoUbSMitvYNxxuufjQ29Q5lHQUAAAAAAAAYJ2VbAAAAKtZIMY0/uX5T3N01fYq2T9i0ezj+6NrHom+4mHUUAAAAAAAAYByUbQEAAKhYX7q3I361oy/rGCXd2z0YF93xeNYxAAAAAAAAgHFQtgUAAKAibewejH+ogCLrF3/dETc+Pn0LwQAAAAAAAMD+KdsCAABQcUaKaZy7bkv0j6RZRzmgNCLOXbcl+oaLWUcBAAAAAAAAxkDZFgAAgIrz9fs74+ad/VnHKNsDPUPxjxt2Zh0DAAAAAAAAGANlWwAAACpKMU3jX37dkXWMUfvaxk6n2wIAAAAAAEAFUrYFAACgoly/dXc8tGso6xij1jlYjH97pCfrGAAAAAAAAMAoKdsCAABQUdZu7Mw6wph9vYKzAwAAAAAAwGylbAsAAEDF2NQ7FP+9eVfWMcbs1vb+uL29P+sYAAAAAAAAwCgo2wIAAFAxfrJpVxTTrFOMz48f7ck6AgAAAAAAADAKhawDAAAAQLnKORV28+lHlbVW23lrI9+yIHqv+k4MblgXw9sejUhyUVi8POpffmbMWfPSPe4fuOMX0fNvX4rhx+6L4q7OyNU1RGHJyqh/5Vuj9oRTyt7DeifbAgAAAAAAQEVRtgUAAKBi3NFx4KLqvAsu2+Nzz+Wfj8EN66LtQ1/d43ph8Yrou/6KGLj12pjzvNOiavmqiOJI9P3yx9Fxydkx/Pp3R8Pr3vXk/cVdnVG1ZEXMfdHrI9c0L4q9XbH7p5dF+z/8WTS/8x+i7nmnlbWH9R39kaZpJElS1v0AAAAAAABAtpI0TSv8D3ACAAAwG/QNF+OI798XxVG+xXZ8/m+if91P4qCv3rLXdyPdHZFraN6r+LrzH/4sBjfcEIv+ZV0kVdUl106Hh2LbX/5eFBYsjXkf/kbZmX71yuWxtL6q/E0AAAAAAAAAmcllHQAAAADKcVfnwKiLtgeSb2zZ5wmz1YevjnSgL4q7Ovf7fFKoilxdY0QuP6q568s4oRcAAAAAAACYHgpZBwAAAIBybNk9PGWzBjasi1xja+Sa2vb6Li0WI9JiFLt2Ru9V347hLQ9F6+nvGdX6U7kXAAAAAAAAYHyUbQEAAKgIAyPFKZnT+7PvxuCGG6LxzA9Eso8Ta9s/8fYYWP/ziIhI5tRHy19+KmpPfMGoZgwUp2YvAAAAAAAAwPgp2wIAAFARhorppM/ov+266PrKBVG75tSYe+qb9nlP01s+FMXdPVHs2BG7f/5v0fH/zo30zz8Wdc95ZdlzBkcmfy8AAAAAAADAxFC2BQAAoCJU5ZJJXb//9uuj/VPvjppVz46Wsy6KJNn3vMJBhz7579qTXhQ7P/626PrK38ecZ708klyurFnV+cndCwAAAAAAADBxyvsVEAAAADJWW5i8V9j+26+P9ovPipqjT47Wcz4TSaG67GerDl8VaW9XFLvby36mpsxSLgAAAAAAAJA9v+4BAABQEQ6um5w/ztK//ufRfvFZUX3k06P1PZ+NpKr8om2apjF4942RzG2MXENz2c9N1l4AAAAAAACAiefXPQAAACrC0U01kU8iRtKJW3Pgnpuj4+KzIt88Lxpe/fYYevjuPb4vLF4Rubr6iIho/+Q7o3DIUVF1yFGRq2+OkY7t0XfdD2Lw7huj6Y/PjyRf/iv26tbaidsEAAAAAAAAMKmUbQEAAKgIcwq5OKKxOu7uGpywNQfu/EWkg/0xsmNT7LzwLXt933be2qg5Zk1ERFQdcWL03/Bf0ftf34y0b1fk6hqiavlx0freL0TtiS8oe2ZLdT4WO9kWAAAAAAAAKkaSpukEngkEAAAAk+ecdVviOw92Zx1jXE5ZVBeXvmBp1jEAAAAAAACAMuWyDgAAAADlelprbdYRxm31DNgDAAAAAAAAzCbKtgAAAFSMlyyuj3ySdYrxeeXShqwjAAAAAAAAAKOgbAsAAEDFOLiuKk5dXJ91jDE7sa02jmtxsi0AAAAAAABUEmVbAAAAKsqbVzRnHWHMzqzg7AAAAAAAADBbKdsCAABQUZ67sC4Ob6jOOsaotVTn45XLGrKOAQAAAAAAAIySsi0AAAAVJUmSePuRLVnHGLW3rGyO2rzXcAAAAAAAAKg0fuUDAACg4rzx8KZYM39O1jHKtrKxOs46pjXrGAAAAAAAAMAYKNsCAABQcXJJEhc/Y1HU5pOsoxxQLon49JpFTrUFAAAAAACACuWXPgAAACrSYQ3V8YGnzc86xgH9+VGtcUJb5ZzCCwAAAAAAAOxJ2RYAAICK9ccrm+O5C+uyjlHS0c01ce5xbVnHAAAAAAAAAMZB2RYAAICKlUuS+JfnHBzHtdRkHWUvh8ytim+csiRq8169AQAAAAAAoJL5xQ8AAICK1lidj0tPWRJHNVVnHeVJi+sK8a0XLolFcwpZRwEAAAAAAADGSdkWAACAitdWW4jvvWhZnNBWm3WUOLyhOn7w4mVxSP30Kf8CAAAAAAAAY6dsCwAAwIzQUpOPb79gaZy+vCmzDC9bUh9X/N7SWDy3KrMMAAAAAAAAwMRK0jRNsw4BAAAAE+nqLb3x3hu2xpa+4SmZ11Kdj488fUGctqwhkiSZkpkAAAAAAADA1FC2BQAAYMZJ0zSu3dobH7x5ezy0a2hSZ718SX189KSFMb+2MKlzAAAAAAAAgGz4JRAAAIAZo3eoGJc/3B1rN3bG3Z0DkzanNp/E7y9riDevaI7j2+ZM2hwAAAAAAAAge8q2AAAAVLximsbXNnbGJ9Y/Ht1DxUmb01iViz8/qiXetKIlWmrykzYHAAAAAAAAmD6SNE3TrEMAAADAWD2yazDec8O2+MX23VMyb3FdIT75jEXx/EVzp2QeAAAAAAAAkC1lWwAAACpSmqaxdmNnfOT2HbF7eOpfbc9Y3hTnn7Ag6qtyUz4bAAAAAAAAmDrKtgAAAFSckWIaf3PTtrj0ga5McxzbXBOXvmBJzKstZJoDAAAAAAAAmDzKtgAAAFSUoWIa7/7llrjy0Z6so0RExPKGqvj2C5fGwXVVWUcBAAAAAAAAJoG/dQkAAEDFKKZpnLtu67Qp2kZEPNAzFKdf81js7B/OOgoAAAAAAAAwCZRtAQAAqBgX3rYjLn+4O+sYe9nYPRh/dO1j0T9SzDoKAAAAAAAAMMGUbQEAAKgIP9/WG//8646sY5S0vmMgPn3nzqxjAAAAAAAAABNM2RYAAIBpr3eoGH91w7asYxzQ5+5pj9t29mUdAwAAAAAAAJhAyrYAAABMex+5fUc82juUdYwDKqYR56zbGv0jxayjAAAAAAAAABNE2RYAAIBpbd323bF2Y2fWMcp2b/dg/ONd7VnHAAAAAAAAACaIsi0AAADT2ufuqbzi6lfu64jdw063BQAAAAAAgJlA2RYAAIBp69FdQ3HV5t6sY4xa91Axrni4O+sYAAAAAAAAwARQtgUAAGDa+sb9nZFmHWKMvnpfZ6RppaYHAAAAAAAAnqBsCwAAwLQ0MFKMSx/oyjrGmN3VORC37OzPOgYAAAAAAAAwTsq2AAAATEvXb9sd7QMjWccYlx883J11BAAAAAAAAGCcClkHAAAAgH25rYxTYTefflRZa7WdtzbyLQui96rvxOCGdTG87dGIJBeFxcuj/uVnxpw1L93v893fviR2XfGFKCxZGQsuurKsmRERt7U72RYAAAAAAAAqnbItAAAA09L6jgMXVeddcNken3su/3wMblgXbR/66h7XC4tXRN/1V8TArdfGnOedFlXLV0UUR6Lvlz+OjkvOjuHXvzsaXveufc4Yeuju2PWjL0euad6o93B350AMF9Mo5JJRPwsAAAAAAABMD8q2AAAATEt3lHEqbPXK4/f4nGtsiUhye12PiKh91iui7iVnRJL8b/G19vjnR7GnI3Zd+aWoP+1tkVRV7/FMOjIcHV/4QMx98R/G0MP3RLGnc1R76B9J497ugTimuXZUzwEAAAAAAADTRy7rAAAAAPBUW/uGY3v/yISumW9s2aNo+4Tqw1dHOtAXxV2de32364f/EmlvVzT84dljnru+fWDMzwIAAAAAAADZU7YFAABg2nm4Z3DKZg1sWBe5xtbINbXtcX3osY3Rc8Xno+mtH45c7dwxr//IrqHxRgQAAAAAAAAypGwLAADAtDNQTKdkTu/PvhuDG26I+te8I5Jc/snrabEYnf/8wZhz8v+J2hNOGdeM/pHieGMCAAAAAAAAGVK2BQAAYNrpH5n8sm3/bddF11cuiNo1p8bcU9+0x3e9P/5KDG99KBrf/IFxz5mq4jAAAAAAAAAwOQpZBwAAAICnqsolk7p+/+3XR/un3h01q54dLWddFEnyv/OGH98cPd/9TDScfm4khaoo9nb/5oviSERajGJvdyRV1ZFU15Y1a7L3AgAAAAAAAEwuZVsAAACmndr85BVU+2+/PtovPitqjj45Ws/5TCSF6j2+H9n+aKSD/dG99qPRvfajez2/9U+fEXNf+uZoOrO8U29rlG0BAAAAAACgoinbAgAAMO3Mq8lPyrr9638e7RefFdVHPj1a3/PZSKqq97qn6pCjo+28tXtd7/raxyLd3RPN7/ho5FsXlT1zXu3k7AUAAAAAAACYGsq2AAAATDvLG6qjrpDE7uF0wtYcuOfm6Lj4rMg3z4uGV789hh6+e4/vC4tXRK6uPnJzG6PmmDV7PZ+ra4jiyMg+v9ufVS2148oNAAAAAAAAZEvZFgAAgGknn0vi2ObauPHxvglbc+DOX0Q62B8jOzbFzgvfstf3beetHXWR9kCSiDhO2RYAAAAAAAAqWpKm6cQdEwQAAAAT5Pxbtse/3tuRdYxxWdFYHde+/LCsYwAAAAAAAADjkMs6AAAAAOzL6paarCOM20zYAwAAAAAAAMx2yrYAAABMS6ccNDcKSdYpxufFB9dnHQEAAAAAAAAYJ2VbAAAApqX5tYV4+dKGrGOM2byafLxsibItAAAAAAAAVDplWwAAAKatM1c0Zx1hzE4/vClq8l67AQAAAAAAoNL51Q8AAIBpa838OXFkU3XWMUYtl0T80eHNWccAAAAAAAAAJoCyLQAAANNWkiTx1pUtWccYtZcuro8lc6uyjgEAAAAAAABMAGVbAAAAprXTlzfFiW21WccoW30hF397woKsYwAAAAAAAAATRNkWAACAaS2fS+LTaxZFTS7JOkpZzjt+fix2qi0AAAAAAADMGMq2AAAATHsrGmvir1fPyzrGAT1/YV2ccXhT1jEAAAAAAACACaRsCwAAQEV42xEtcdK82qxjlNRQlYtPPmNRJEllnMALAAAAAAAAlEfZFgAAgIqQzyXxr89dHIc3VGcdZS+1+SS++rzFsXhuVdZRAAAAAAAAgAmmbAsAAEDFmFdbiG+9YEksnUal1upcEl98zsHxzAV1WUcBAAAAAAAAJkGSpmmadQgAAAAYjc27h+L0ax6Ljd2DmeaYk0/iy89bHM9fNDfTHAAAAAAAAMDkUbYFAACgIrUPDMdf/GprXL2lN5P5h8ytis8++6A4oW1OJvMBAAAAAACAqaFsCwAAQMVK0zS+/WB3/O2t26NnqDhlc9+6sjne/7T5UVfITdlMAAAAAAAAIBvKtgAAAFS8Tb1D8dc3bo1rtu6e1DmHzK2Ki9csimctqJvUOQAAAAAAAMD0oWwLAADAjJCmaVy9pTe+urEzfra5NybyZffopuo4c2VLvP7QxpjjNFsAAAAAAACYVZRtAQAAmHEe2TUY37i/K771QFe0D4yMaY2qXMQrlzbEmSua46R5cyJJkglOCQAAAAAAAFQCZVsAAABmrKFiGvd0DsT6jv5Y394fd3QMxN2dAzFY3PtV+LCGqljdUhurW2tjdUttrGqtiYaqfAapAQAAAAAAgOlE2RYAAIBZZaSYxkAxjf6RNIppGrX5XNTkk6jKObkWAAAAAAAA2JuyLQAAAAAAAAAAAACUkMs6AAAAAAAAAAAAAABMV8q2AAAAAAAAAAAAAFCCsi0AAAAAAAAAAAAAlKBsCwAAAAAAAAAAAAAlKNsCAAAAAAAAAAAAQAnKtgAAAAAAAAAAAABQgrItAAAAAAAAAAAAAJSgbAsAAAAAAAAAAAAAJSjbAgAAAAAAAAAAAEAJyrYAAAAAAAAAAAAAUIKyLQAAAAAAAAAAAACUoGwLAAAAAAAAAAAAACUo2wIAAAAAAAAAAABACcq2AAAAAAAAAAAAAFCCsi0AAAAAAAAAAAAAlKBsCwAAAAAAAAAAAAAlKNsCAAAAAAAAAAAAQAnKtgAAAAAAAAAAAABQgrItAAAAAAAAAAAAAJSgbAsAAAAAAAAAAAAAJSjbAgAAAAAAAAAAAEAJyrYAAAAAAAAAAAAAUIKyLQAAAAAAAAAAAACUoGwLAAAAAAAAAAAAACUo2wIAAAAAAAAAAABACcq2AAAAAAAAAAAAAFCCsi0AAAAAAAAAAAAAlKBsCwAAAAAAAAAAAAAlKNsCAAAAAAAAAAAAQAnKtgAAAAAAAAAAAABQgrItAAAAAAAAAAAAAJSgbAsAAAAAAAAAAAAAJSjbAgAAAAAAAAAAAEAJyrYAAAAAAAAAAAAAUIKyLQAAAAAAAAAAAACUoGwLAAAAAAAAAAAAACUo2wIAAAAAAAAAAABACcq2AAAAAAAAAAAAAFCCsi0AAAAAAAAAAAAAlKBsCwAAAAAAAAAAAAAlKNsCAAAAAAAAAAAAQAnKtgAAAAAAAAAAAABQgrItAAAAAAAAAAAAAJSgbAsAAAAAAAAAAAAAJSjbAgAAAAAAAAAAAEAJyrYAAAAAAAAAAAAAUIKyLQAAAAAAAAAAAACUoGwLAAAAAAAAAAAAACUo2wIAAAAAAAAAAABACcq2AAAAAAAAAAAAAFCCsi0AAAAAAAAAAAAAlKBsCwAAAAAAAAAAAAAlKNsCAAAAAAAAAAAAQAnKtgAAAAAAAAAAAABQgrItAAAAAAAAAAAAAJSgbAsAAAAAAAAAAAAAJSjbAgAAAAAAAAAAAEAJyrYAAAAAAAAAAAAAUIKyLQAAAAAAAAAAAACUoGwLAAAAAAAAAAAAACUo2wIAAAAAAAAAAABACcq2AAAAAAAAAAAAAFCCsi0AAAAAAAAAAAAAlKBsCwAAAAAAAAAAAAAlKNsCAAAAAAAAAAAAQAnKtgAAAAAAAAAAAABQgrItAAAAAAAAAAAAAJSgbAsAAAAAAAAAAAAAJSjbAgAAAAAAAAAAAEAJyrYAAAAAAAAAAAAAUIKyLQAAAAAAAAAAAACUoGwLAAAAAAAAAAAAACUo2wIAAAAAAAAAAABACcq2AAAAAAAAAAAAAFCCsi0AAAAAAAAAAAAAlKBsCwAAAAAAAAAAAAAlKNsCAAAAAAAAAAAAQAnKtgAAAAAAAAAAAABQgrItAAAAAAAAAAAAAJSgbAsAAAAAAAAAAAAAJSjbAgAAAAAAAAAAAEAJyrYAAAAAAAAAAAAAUIKyLQAAAAAAAAAAAACUoGwLAAAAAAAAAAAAACUo2wIAAAAAAAAAAABACcq2AAAAAAAAAAAAAFCCsi0AAAAAAAAAAAAAlKBsCwAAAAAAAAAAAAAlKNsCAAAAAAAAAAAAQAnKtgAAAAAAAAAAAABQgrItAAAAAAAAAAAAAJSgbAsAAAAAAAAAAAAAJSjbAgAAAAAAAAAAAEAJyrYAAAAAAAAAAAAAUIKyLQAAAAAAAAAAAACUoGwLAAAAAAAAAAAAACUo2wIAAAAAAAAAAABACcq2AAAAAAAAAAAAAFCCsi0AAAAAAAAAAAAAlKBsCwAAAAAAAAAAAAAlKNsCAAAAAAAAAAAAQAnKtgAAAAAAAAAAAABQgrItAAAAAAAAAAAAAJSgbAsAAAAAAAAAAAAAJSjbAgAAAAAAAAAAAEAJyrYAAAAAAAAAAAAAUIKyLQAAAAAAAAAAAACUoGwLAAAAAAAAAAAAACUo2wIAAAAAAAAAAABACcq2AAAAAAAAAAAAAFCCsi0AAAAAAAAAAAAAlKBsCwAAAAAAAAAAAAAlKNsCAAAAAAAAAAAAQAnKtgAAAAAAAAAAAMD/b9cOBAAAAAAE+VtPsEFxBAzZFgAAAAAAAAAAAACGbAsAAAAAAAAAAAAAQ7YFAAAAAAAAAAAAgCHbAgAAAAAAAAAAAMCQbQEAAAAAAAAAAABgyLYAAAAAAAAAAAAAMGRbAAAAAAAAAAAAABiyLQAAAAAAAAAAAAAM2RYAAAAAAAAAAAAAhmwLAAAAAAAAAAAAAEO2BQAAAAAAAAAAAIAh2wIAAAAAAAAAAADAkG0BAAAAAAAAAAAAYMi2AAAAAAAAAAAAADBkWwAAAAAAAAAAAAAYsi0AAAAAAAAAAAAADNkWAAAAAAAAAAAAAIZsCwAAAAAAAAAAAABDtgUAAAAAAAAAAACAIdsCAAAAAAAAAAAAwJBtAQAAAAAAAAAAAGDItgAAAAAAAAAAAAAwZFsAAAAAAAAAAAAAGLItAAAAAAAAAAAAAAzZFgAAAAAAAAAAAACGbAsAAAAAAAAAAAAAQ7YFAAAAAAAAAAAAgCHbAgAAAAAAAAAAAMCQbQEAAAAAAAAAAABgyLYAAAAAAAAAAAAAMGRbAAAAAAAAAAAAABiyLQAAAAAAAAAAAAAM2RYAAAAAAAAAAAAAhmwLAAAAAAAAAAAAAEO2BQAAAAAAAAAAAIAh2wIAAAAAAAAAAADAkG0BAAAAAAAAAAAAYMi2AAAAAAAAAAAAADBkWwAAAAAAAAAAAAAYsi0AAAAAAAAAAAAADNkWAAAAAAAAAAAAAIZsCwAAAAAAAAAAAABDtgUAAAAAAAAAAACAIdsCAAAAAAAAAAAAwJBtAQAAAAAAAAAAAGDItgAAAAAAAAAAAAAwZFsAAAAAAAAAAAAAGAGg9fg2U1Y8TgAAAABJRU5ErkJggg==\",\n      \"text/plain\": [\n       \"<Figure size 1400x1000 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 989,\n       \"width\": 1389\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(14, 10))\\n\",\n    \"\\n\",\n    \"pos = nx.drawing.nx_agraph.graphviz_layout(g, prog=\\\"neato\\\")\\n\",\n    \"nx.draw(g, pos, ax=ax, node_size=300, node_color=colors)\\n\",\n    \"nx.draw_networkx_labels(g, pos=pos, ax=ax, font_size=6)\\n\",\n    \"nx.draw_networkx_edges(g, pos=pos, ax=ax, edgelist=on_train, width=2)\\n\",\n    \"nx.draw_networkx_edges(g, pos=pos, ax=ax, edgelist=on_foot, edge_color=\\\"blue\\\")\\n\",\n    \"\\n\",\n    \"# removing the default axis on all sides:\\n\",\n    \"for side in ['bottom','right','top','left']:\\n\",\n    \"    ax.spines[side].set_visible(False)\\n\",\n    \"\\n\",\n    \"# removing the axis labels and ticks\\n\",\n    \"ax.set_xticks([])\\n\",\n    \"ax.set_yticks([])\\n\",\n    \"ax.xaxis.set_ticks_position('none')\\n\",\n    \"ax.yaxis.set_ticks_position('none')\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch10-metro-graph.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch10-metro-graph.png\\\")\\n\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 125,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"DegreeView({'C1': 1, 'C2': 2, 'C3': 3, 'C4': 4, 'C5': 2, 'C6': 2, 'C7': 5, 'C8': 4, 'C9': 4, 'C10': 2, 'C11': 5, 'C12': 3, 'C13': 2, 'C14': 2, 'C15': 2, 'C16': 2, 'C17': 2, 'C18': 3, 'C19': 1, 'F15': 3, 'Z2': 4, 'G2': 4, 'M14': 5, 'N6': 5, 'G6': 5, 'M15': 4, 'H6': 4, 'H7': 4, 'Y18': 4, 'T9': 5, 'M18': 5, 'Z8': 5, 'M19': 3, 'H21': 2, 'G1': 3, 'G3': 2, 'G4': 3, 'G5': 6, 'G7': 2, 'G8': 2, 'G9': 4, 'G10': 2, 'G11': 3, 'G12': 3, 'G13': 2, 'G14': 2, 'G15': 3, 'G16': 3, 'G17': 2, 'G18': 2, 'G19': 1, 'Z1': 3, 'F16': 3, 'Z3': 3, 'M13': 6, 'Y16': 6, 'Z4': 6, 'N7': 6, 'M16': 4, 'H8': 4, 'T10': 3, 'Z9': 3, 'H16': 3, 'H17': 3, 'F1': 2, 'F2': 3, 'F3': 3, 'F4': 3, 'F5': 3, 'F6': 3, 'F7': 3, 'F8': 3, 'F9': 4, 'F10': 2, 'F11': 2, 'F12': 2, 'F13': 3, 'F14': 2, 'Y1': 2, 'Y2': 3, 'Y3': 3, 'Y4': 3, 'Y5': 3, 'Y6': 3, 'Y7': 3, 'Y8': 3, 'Y9': 4, 'M25': 3, 'M9': 3, 'H1': 1, 'H2': 2, 'H3': 2, 'H4': 2, 'H5': 2, 'H9': 2, 'H10': 2, 'H11': 2, 'H12': 3, 'H13': 2, 'H14': 2, 'H15': 2, 'H18': 2, 'H19': 2, 'H20': 2, 'T11': 3, 'M1': 1, 'M2': 2, 'M3': 2, 'M4': 2, 'M5': 2, 'M6': 3, 'M7': 2, 'M8': 2, 'M10': 2, 'M11': 2, 'M12': 3, 'M17': 2, 'M20': 2, 'M21': 2, 'M22': 3, 'M23': 2, 'M24': 2, 'm3': 1, 'm4': 2, 'm5': 2, 'N8': 3, 'N11': 3, 'N1': 2, 'N2': 3, 'N3': 3, 'N4': 2, 'N5': 2, 'N9': 3, 'N10': 4, 'N12': 2, 'N13': 2, 'N14': 2, 'N15': 2, 'N16': 2, 'N17': 2, 'N18': 2, 'N19': 1, 'T1': 2, 'T2': 3, 'T3': 3, 'Y14': 3, 'Y13': 4, 'T6': 4, 'T4': 2, 'T5': 2, 'T7': 3, 'T8': 2, 'T12': 2, 'T13': 2, 'T14': 2, 'T15': 2, 'T16': 2, 'T17': 2, 'T18': 2, 'T19': 2, 'T20': 2, 'T21': 2, 'T22': 2, 'T23': 2, 'T24': 1, 'Z6': 3, 'Y10': 2, 'Y11': 2, 'Y12': 2, 'Y15': 2, 'Y17': 2, 'Y19': 2, 'Y20': 2, 'Y21': 2, 'Y22': 2, 'Y23': 2, 'Y24': 1, 'Z5': 2, 'Z7': 2, 'Z10': 2, 'Z11': 2, 'Z12': 2, 'Z13': 2, 'Z14': 1})\"\n      ]\n     },\n     \"execution_count\": 125,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"g.degree()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 126,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"d_max = max(d for (n, d) in g.degree())\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 127,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[('G5', 6), ('M13', 6), ('Y16', 6), ('Z4', 6), ('N7', 6)]\"\n      ]\n     },\n     \"execution_count\": 127,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"[(n, d) for (n, d) in g.degree() if d == d_max]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 128,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"p = nx.shortest_path(g, \\\"Y24\\\", \\\"C19\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 129,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array(['Y24', 'Y23', 'Y22', 'Y21', 'Y20', 'Y19', 'Y18', 'C9', 'C10',\\n\",\n       \"       'C11', 'C12', 'C13', 'C14', 'C15', 'C16', 'C17', 'C18', 'C19'],\\n\",\n       \"      dtype='<U3')\"\n      ]\n     },\n     \"execution_count\": 129,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.array(p)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 130,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"35\"\n      ]\n     },\n     \"execution_count\": 130,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.sum([g[p[n]][p[n+1]][\\\"weight\\\"] for n in range(len(p)-1) if \\\"weight\\\" in g[p[n]][p[n+1]]])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 131,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"h = g.copy()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 132,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"for n1, n2 in h.edges():\\n\",\n    \"    if \\\"transfer\\\" in h[n1][n2]:\\n\",\n    \"        h[n1][n2][\\\"weight\\\"] = 5\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 133,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"p = nx.shortest_path(h, \\\"Y24\\\", \\\"C19\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 134,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array(['Y24', 'Y23', 'Y22', 'Y21', 'Y20', 'Y19', 'Y18', 'C9', 'C10',\\n\",\n       \"       'C11', 'C12', 'C13', 'C14', 'C15', 'C16', 'C17', 'C18', 'C19'],\\n\",\n       \"      dtype='<U3')\"\n      ]\n     },\n     \"execution_count\": 134,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.array(p)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 135,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"85\"\n      ]\n     },\n     \"execution_count\": 135,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.sum([h[p[n]][p[n+1]][\\\"weight\\\"] for n in range(len(p)-1)])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 136,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"p = nx.shortest_path(h, \\\"Z1\\\", \\\"H16\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 137,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"65\"\n      ]\n     },\n     \"execution_count\": 137,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.sum([h[p[n]][p[n+1]][\\\"weight\\\"] for n in range(len(p)-1)])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 149,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"#A = nx.to_scipy_sparse_matrix(g)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 153,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"#A = nx.to_scipy_sparse_array(g)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 145,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<10x10 sparse matrix of type '<class 'numpy.float64'>'\\n\",\n       \"\\twith 28 stored elements in Compressed Sparse Column format>\"\n      ]\n     },\n     \"execution_count\": 145,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 146,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"perm = sp.csgraph.reverse_cuthill_mckee(A)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 147,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 407,\n       \"width\": 789\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(8, 4))\\n\",\n    \"ax1.spy(A, markersize=2)\\n\",\n    \"ax2.spy(sp_permute(A, perm, perm), markersize=2)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch12-rcm-graph.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Versions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 154,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"%reload_ext version_information\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 155,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/json\": {\n       \"Software versions\": [\n        {\n         \"module\": \"Python\",\n         \"version\": \"3.10.12 64bit [Clang 14.0.6 ]\"\n        },\n        {\n         \"module\": \"IPython\",\n         \"version\": \"8.12.0\"\n        },\n        {\n         \"module\": \"OS\",\n         \"version\": \"macOS 10.15.7 x86_64 i386 64bit\"\n        },\n        {\n         \"module\": \"numpy\",\n         \"version\": \"1.22.3\"\n        },\n        {\n         \"module\": \"scipy\",\n         \"version\": \"1.7.3\"\n        },\n        {\n         \"module\": \"matplotlib\",\n         \"version\": \"3.7.1\"\n        },\n        {\n         \"module\": \"networkx\",\n         \"version\": \"3.1\"\n        },\n        {\n         \"module\": \"pygraphviz\",\n         \"version\": \"1.9\"\n        }\n       ]\n      },\n      \"text/html\": [\n       \"<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.10.12 64bit [Clang 14.0.6 ]</td></tr><tr><td>IPython</td><td>8.12.0</td></tr><tr><td>OS</td><td>macOS 10.15.7 x86\\\\_64 i386 64bit</td></tr><tr><td>numpy</td><td>1.22.3</td></tr><tr><td>scipy</td><td>1.7.3</td></tr><tr><td>matplotlib</td><td>3.7.1</td></tr><tr><td>networkx</td><td>3.1</td></tr><tr><td>pygraphviz</td><td>1.9</td></tr><tr><td colspan='2'>Sat Nov 02 19:48:14 2024 JST</td></tr></table>\"\n      ],\n      \"text/latex\": [\n       \"\\\\begin{tabular}{|l|l|}\\\\hline\\n\",\n       \"{\\\\bf Software} & {\\\\bf Version} \\\\\\\\ \\\\hline\\\\hline\\n\",\n       \"Python & 3.10.12 64bit [Clang 14.0.6 ] \\\\\\\\ \\\\hline\\n\",\n       \"IPython & 8.12.0 \\\\\\\\ \\\\hline\\n\",\n       \"OS & macOS 10.15.7 x86\\\\_64 i386 64bit \\\\\\\\ \\\\hline\\n\",\n       \"numpy & 1.22.3 \\\\\\\\ \\\\hline\\n\",\n       \"scipy & 1.7.3 \\\\\\\\ \\\\hline\\n\",\n       \"matplotlib & 3.7.1 \\\\\\\\ \\\\hline\\n\",\n       \"networkx & 3.1 \\\\\\\\ \\\\hline\\n\",\n       \"pygraphviz & 1.9 \\\\\\\\ \\\\hline\\n\",\n       \"\\\\hline \\\\multicolumn{2}{|l|}{Sat Nov 02 19:48:14 2024 JST} \\\\\\\\ \\\\hline\\n\",\n       \"\\\\end{tabular}\\n\"\n      ],\n      \"text/plain\": [\n       \"Software versions\\n\",\n       \"Python 3.10.12 64bit [Clang 14.0.6 ]\\n\",\n       \"IPython 8.12.0\\n\",\n       \"OS macOS 10.15.7 x86_64 i386 64bit\\n\",\n       \"numpy 1.22.3\\n\",\n       \"scipy 1.7.3\\n\",\n       \"matplotlib 3.7.1\\n\",\n       \"networkx 3.1\\n\",\n       \"pygraphviz 1.9\\n\",\n       \"Sat Nov 02 19:48:14 2024 JST\"\n      ]\n     },\n     \"execution_count\": 155,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%version_information numpy, scipy, matplotlib, networkx, pygraphviz\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"npbook_py310\",\n   \"language\": \"python\",\n   \"name\": \"npbook_py310\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "ch11-code-listing.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Chapter 11: Partial differential equations\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 176,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"%matplotlib inline\\n\",\n    \"%config InlineBackend.figure_format='retina'\\n\",\n    \"import matplotlib.pyplot as plt\\n\",\n    \"import matplotlib as mpl\\n\",\n    \"\\n\",\n    \"mpl.rcParams[\\\"mathtext.fontset\\\"] = \\\"stix\\\"\\n\",\n    \"mpl.rcParams[\\\"font.family\\\"] = \\\"stix\\\"\\n\",\n    \"mpl.rcParams[\\\"font.sans-serif\\\"] = \\\"stix\\\"\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 177,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import mpl_toolkits.mplot3d\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 178,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import scipy.sparse as sp\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 179,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import scipy.sparse.linalg\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 180,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import scipy.linalg as la\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Finite-difference method\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## 1d example\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Heat equation: \\n\",\n    \"\\n\",\n    \"$$-5 = u_{xx}, u(x=0) = 1, u(x=1) = 2$$\\n\",\n    \"\\n\",\n    \"$$\\n\",\n    \"u_{xx}[n] = (u[n-1] - 2u[n] + u[n+1])/dx^2\\n\",\n    \"$$\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 181,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"N = 5\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 182,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"u0 = 1\\n\",\n    \"u1 = 2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 183,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"dx = 1.0 / (N + 1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 184,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"A = (np.eye(N, k=-1) - 2 * np.eye(N) + np.eye(N, k=1)) / dx**2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 185,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[-72.,  36.,   0.,   0.,   0.],\\n\",\n       \"       [ 36., -72.,  36.,   0.,   0.],\\n\",\n       \"       [  0.,  36., -72.,  36.,   0.],\\n\",\n       \"       [  0.,   0.,  36., -72.,  36.],\\n\",\n       \"       [  0.,   0.,   0.,  36., -72.]])\"\n      ]\n     },\n     \"execution_count\": 185,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 186,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"d = -5 * np.ones(N)\\n\",\n    \"d[0] -= u0 / dx**2\\n\",\n    \"d[N-1] -= u1 / dx**2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 187,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"u = np.linalg.solve(A, d)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 188,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.linspace(0, 1, N+2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 189,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"U = np.hstack([[u0], u, [u1]])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 191,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"findfont: Font family 'stix' not found.\\n\",\n      \"findfont: Font family 'stix' not found.\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 390,\n       \"width\": 787\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 4))\\n\",\n    \"ax.plot(x, U)\\n\",\n    \"ax.plot(x[1:-1], u, 'ks')\\n\",\n    \"ax.set_xlim(0, 1)\\n\",\n    \"ax.set_xlabel(r\\\"$x$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(r\\\"$u(x)$\\\", fontsize=18)\\n\",\n    \"fig.savefig(\\\"ch11-fdm-1d.pdf\\\")\\n\",\n    \"fig.tight_layout();\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## 2d example\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"laplace equation: $u_{xx} + u_{yy} = 0$\\n\",\n    \"\\n\",\n    \"on boundary:\\n\",\n    \"\\n\",\n    \"$$\\n\",\n    \"u(x=0) = u(x=1) = u(y = 0) = u(y = 1) = 10\\n\",\n    \"$$\\n\",\n    \"\\n\",\n    \"$$\\n\",\n    \"u_{xx}[m, n] = (u[m-1, n] - 2u[m,n] + u[m+1,n])/dx^2\\n\",\n    \"$$\\n\",\n    \"\\n\",\n    \"$$\\n\",\n    \"u_{yy}[m, n] = (u[m, n-1] - 2u[m,n] + u[m,n+1])/dy^2\\n\",\n    \"$$\\n\",\n    \"\\n\",\n    \"final equation\\n\",\n    \"\\n\",\n    \"$$\\n\",\n    \"0 \\n\",\n    \"= \\n\",\n    \"(u[m-1 + N n] - 2u[m + N n] + u[m+1 + N n])/dx^2\\n\",\n    \"+\\n\",\n    \"(u[m + N *(n-1)] - 2u[m + N* n] + u[m + N(n+1]))/dy^2\\n\",\n    \"= \\n\",\n    \"(u[m + N n -1] - 2u[m + N n] + u[m + N n + 1])/dx^2\\n\",\n    \"+\\n\",\n    \"(u[m + N n -N)] - 2u[m + N n] + u[m + N n + N]))/dy^2\\n\",\n    \"$$\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 192,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"N = 100\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 193,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"u0_t, u0_b = 5, -5\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 194,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"u0_l, u0_r = 3, -1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 195,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"dx = 1. / (N+1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 196,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"A_1d = (sp.eye(N, k=-1) + sp.eye(N, k=1) - 4 * sp.eye(N))/dx**2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 197,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"A = sp.kron(sp.eye(N), A_1d) + (sp.eye(N**2, k=-N) + sp.eye(N**2, k=N))/dx**2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 198,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<10000x10000 sparse matrix of type '<class 'numpy.float64'>'\\n\",\n       \"\\twith 49600 stored elements in Compressed Sparse Row format>\"\n      ]\n     },\n     \"execution_count\": 198,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 199,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.992\"\n      ]\n     },\n     \"execution_count\": 199,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"A.nnz * 1.0/ np.prod(A.shape) * 2000\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 200,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"d = np.zeros((N, N))\\n\",\n    \"\\n\",\n    \"d[0, :] += -u0_b \\n\",\n    \"d[-1, :] += -u0_t\\n\",\n    \"d[:, 0] += -u0_l\\n\",\n    \"d[:, -1] += -u0_r\\n\",\n    \"\\n\",\n    \"d = d.reshape(N**2) / dx**2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 201,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"u = sp.linalg.spsolve(A, d).reshape(N, N)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 202,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"U = np.vstack([np.ones((1, N+2)) * u0_b,\\n\",\n    \"               np.hstack([np.ones((N, 1)) * u0_l, u, np.ones((N, 1)) * u0_r]),\\n\",\n    \"               np.ones((1, N+2)) * u0_t])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 203,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/var/folders/yl/6dlgtxk91z39lmwmdl3hk729tcspdz/T/ipykernel_32150/1790366449.py:6: MatplotlibDeprecationWarning: The get_cmap function was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead.\\n\",\n      \"  c = ax.pcolor(X, Y, U, vmin=-5, vmax=5, cmap=mpl.cm.get_cmap('RdBu_r'))\\n\",\n      \"findfont: Font family 'stix' not found.\\n\",\n      \"findfont: Font family 'stix' not found.\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x600 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 589,\n       \"width\": 769\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(8, 6))\\n\",\n    \"\\n\",\n    \"x = np.linspace(0, 1, N+2)\\n\",\n    \"X, Y = np.meshgrid(x, x)\\n\",\n    \"\\n\",\n    \"c = ax.pcolor(X, Y, U, vmin=-5, vmax=5, cmap=mpl.cm.get_cmap('RdBu_r'))\\n\",\n    \"cb = plt.colorbar(c, ax=ax)\\n\",\n    \"\\n\",\n    \"ax.set_xlabel(r\\\"$x_1$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(r\\\"$x_2$\\\", fontsize=18)\\n\",\n    \"cb.set_label(r\\\"$u(x_1, x_2)$\\\", fontsize=18)\\n\",\n    \"fig.savefig(\\\"ch11-fdm-2d.pdf\\\")\\n\",\n    \"fig.tight_layout()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 204,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.linspace(0, 1, N+2)\\n\",\n    \"X, Y = np.meshgrid(x, x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 205,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/var/folders/yl/6dlgtxk91z39lmwmdl3hk729tcspdz/T/ipykernel_32150/123799236.py:2: MatplotlibDeprecationWarning: The get_cmap function was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead.\\n\",\n      \"  cmap = mpl.cm.get_cmap('RdBu_r')\\n\",\n      \"findfont: Font family 'stix' not found.\\n\",\n      \"findfont: Font family 'stix' not found.\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x550 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 539,\n       \"width\": 1172\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig = plt.figure(figsize=(12, 5.5))\\n\",\n    \"cmap = mpl.cm.get_cmap('RdBu_r')\\n\",\n    \"\\n\",\n    \"ax = fig.add_subplot(1, 2, 1)\\n\",\n    \"p = ax.pcolor(X, Y, U, vmin=-5, vmax=5, cmap=cmap)\\n\",\n    \"ax.set_xlabel(r\\\"$x_1$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(r\\\"$x_2$\\\", fontsize=18)\\n\",\n    \"\\n\",\n    \"ax = fig.add_subplot(1, 2, 2, projection='3d')\\n\",\n    \"p = ax.plot_surface(X, Y, U, vmin=-5, vmax=5, rstride=3, cstride=3, linewidth=0, cmap=cmap)\\n\",\n    \"ax.set_xlabel(r\\\"$x_1$\\\", fontsize=16)\\n\",\n    \"ax.set_ylabel(r\\\"$x_2$\\\", fontsize=16)\\n\",\n    \"cb = plt.colorbar(p, ax=ax, shrink=0.75)\\n\",\n    \"cb.set_label(r\\\"$u(x_1, x_2)$\\\", fontsize=18)\\n\",\n    \"\\n\",\n    \"fig.savefig(\\\"ch11-fdm-2d.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch11-fdm-2d.png\\\")\\n\",\n    \"fig.tight_layout()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Compare performance when using dense/sparse matrices\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 206,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"A_dense = A.todense()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 207,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"6.83 s ± 223 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit np.linalg.solve(A_dense, d)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 208,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"8.48 s ± 197 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit la.solve(A_dense, d)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 209,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"39.9 ms ± 843 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit sp.linalg.spsolve(A, d)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 210,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"338.5579937304076\"\n      ]\n     },\n     \"execution_count\": 210,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"10.8 / 31.9e-3\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### 2d example with source term\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 211,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"d = - np.ones((N, N))\\n\",\n    \"d = d.reshape(N**2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 212,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"u = sp.linalg.spsolve(A, d).reshape(N, N)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 213,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"U = np.vstack([np.zeros((1, N+2)),\\n\",\n    \"               np.hstack([np.zeros((N, 1)), u, np.zeros((N, 1))]),\\n\",\n    \"               np.zeros((1, N+2))])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 214,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.linspace(0, 1, N+2)\\n\",\n    \"X, Y = np.meshgrid(x, x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 215,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/var/folders/yl/6dlgtxk91z39lmwmdl3hk729tcspdz/T/ipykernel_32150/1277836046.py:3: MatplotlibDeprecationWarning: The get_cmap function was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead.\\n\",\n      \"  p = ax.plot_surface(X, Y, U, rstride=4, cstride=4, linewidth=0, cmap=mpl.cm.get_cmap(\\\"Reds\\\"))\\n\",\n      \"findfont: Font family 'stix' not found.\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x600 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 484,\n       \"width\": 594\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(8, 6), subplot_kw={'projection': '3d'})\\n\",\n    \"\\n\",\n    \"p = ax.plot_surface(X, Y, U, rstride=4, cstride=4, linewidth=0, cmap=mpl.cm.get_cmap(\\\"Reds\\\"))\\n\",\n    \"cb = fig.colorbar(p, shrink=0.5)\\n\",\n    \"\\n\",\n    \"ax.set_xlabel(r\\\"$x_1$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(r\\\"$x_2$\\\", fontsize=18)\\n\",\n    \"cb.set_label(r\\\"$u(x_1, x_2)$\\\", fontsize=18)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## FEniCS\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 269,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import dolfin\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 270,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import mshr\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 271,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"dolfin.parameters[\\\"reorder_dofs_serial\\\"] = False\\n\",\n    \"dolfin.parameters[\\\"allow_extrapolation\\\"] = True\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 312,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"N1 = N2 = 75  # 25\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 313,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"mesh = dolfin.RectangleMesh(dolfin.Point(0, 0), dolfin.Point(1, 1), N1, N2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 314,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from IPython.display import display\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 357,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"m = dolfin.RectangleMesh(dolfin.Point(0, 0), dolfin.Point(1, 1), 10, 10)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 358,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[<matplotlib.lines.Line2D at 0x7fc88154b370>,\\n\",\n       \" <matplotlib.lines.Line2D at 0x7fc88154b640>]\"\n      ]\n     },\n     \"execution_count\": 358,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"findfont: Font family 'stix' not found.\\n\",\n      \"findfont: Font family 'stix' not found.\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 413,\n       \"width\": 421\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"dolfin.plot(m)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 359,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"m = dolfin.RectangleMesh(dolfin.Point(0, 0), dolfin.Point(1, 1), 10, 10)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 360,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"#m\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 361,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"#import IPython.display\\n\",\n    \"#IPython.display.SVG(m._repr_svg_().replace(\\\"    \\\", \\\"\\\").replace(\\\"\\\\n\\\", \\\"\\\"))\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Function space from mesh\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 362,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"V = dolfin.FunctionSpace(mesh, 'Lagrange', 1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Variational problem\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 363,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"u = dolfin.TrialFunction(V)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 364,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"v = dolfin.TestFunction(V)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 365,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"a = dolfin.inner(dolfin.nabla_grad(u), dolfin.nabla_grad(v)) * dolfin.dx\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 366,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"f1 = dolfin.Constant(1.0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 367,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"L1 = f1 * v * dolfin.dx\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 368,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"f2 = dolfin.Constant(1.0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 369,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"f2 = dolfin.Expression(\\\"x[0]*x[0] + x[1]*x[1]\\\", degree=1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 370,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"L2 = f2 * v * dolfin.dx\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Boundary conditions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 371,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"u0 = dolfin.Constant(0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 372,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def u0_boundary(x, on_boundary):\\n\",\n    \"    # try to pin down the function at some interior region:\\n\",\n    \"    #if np.sqrt((x[0]-0.5)**2 + (x[1]-0.5)**2) < 0.1:\\n\",\n    \"    #    return True\\n\",\n    \"    return on_boundary\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 373,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"bc = dolfin.DirichletBC(V, u0, u0_boundary)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Solve the problem\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 374,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"A = dolfin.assemble(a)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 375,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"b = dolfin.assemble(L1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 376,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"bc.apply(A, b)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 377,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"u_sol1 = dolfin.Function(V)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 378,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"1\"\n      ]\n     },\n     \"execution_count\": 378,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"dolfin.solve(A, u_sol1.vector(), b)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 379,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"u_sol2 = dolfin.Function(V)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 380,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Solving linear variational problem.\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"dolfin.solve(a == L2, u_sol2, bc)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Dolfin plot\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 381,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<matplotlib.tri._tricontour.TriContourSet at 0x7fc9130aa0b0>\"\n      ]\n     },\n     \"execution_count\": 381,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"findfont: Font family 'stix' not found.\\n\",\n      \"findfont: Font family 'stix' not found.\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 418,\n       \"width\": 432\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"dolfin.plot(u_sol1)\\n\",\n    \"# dolfin.interactive()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Save VTK files\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 385,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"dolfin.File('u_sol1.pvd') << u_sol1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 386,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"dolfin.File('u_sol2.pvd') << u_sol2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 387,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"f = dolfin.File('combined.pvd')\\n\",\n    \"f << mesh\\n\",\n    \"f << u_sol1\\n\",\n    \"f << u_sol2\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Function evaluation\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 388,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.04660769977813522\"\n      ]\n     },\n     \"execution_count\": 388,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"u_sol1([0.21, 0.67])\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Obtain NumPy arrays\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 389,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"u_mat1 = np.array(u_sol1.vector()).reshape(N1+1, N2+1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 390,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"u_mat2 = np.array(u_sol2.vector()).reshape(N1+1, N2+1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 391,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"X, Y = np.meshgrid(np.linspace(0, 1, N1+2), np.linspace(0, 1, N2+2))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 392,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/var/folders/yl/6dlgtxk91z39lmwmdl3hk729tcspdz/T/ipykernel_32150/2867073069.py:2: MatplotlibDeprecationWarning: The get_cmap function was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead.\\n\",\n      \"  cmap = mpl.cm.get_cmap('Reds')\\n\",\n      \"findfont: Font family 'stix' not found.\\n\",\n      \"findfont: Font family 'stix' not found.\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x500 with 4 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 490,\n       \"width\": 1176\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))\\n\",\n    \"cmap = mpl.cm.get_cmap('Reds')\\n\",\n    \"\\n\",\n    \"c = ax1.pcolor(X, Y, u_mat1, cmap=cmap)\\n\",\n    \"cb = plt.colorbar(c, ax=ax1)\\n\",\n    \"ax1.set_xlabel(r\\\"$x$\\\", fontsize=18)\\n\",\n    \"ax1.set_ylabel(r\\\"$y$\\\", fontsize=18)\\n\",\n    \"cb.set_label(r\\\"$u(x, y)$\\\", fontsize=18)\\n\",\n    \"cb.set_ticks([0.0, 0.02, 0.04, 0.06])\\n\",\n    \"\\n\",\n    \"c = ax2.pcolor(X, Y, u_mat2, cmap=cmap)\\n\",\n    \"cb = plt.colorbar(c, ax=ax2)\\n\",\n    \"ax1.set_xlabel(r\\\"$x$\\\", fontsize=18)\\n\",\n    \"ax1.set_ylabel(r\\\"$y$\\\", fontsize=18)\\n\",\n    \"cb.set_label(r\\\"$u(x, y)$\\\", fontsize=18)\\n\",\n    \"cb.set_ticks([0.0, 0.02, 0.04])\\n\",\n    \"\\n\",\n    \"fig.savefig(\\\"ch11-fdm-2d-ex1.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch11-fdm-2d-ex1.png\\\")\\n\",\n    \"fig.tight_layout()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 393,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"X, Y = np.meshgrid(np.linspace(0, 1, N1+1), np.linspace(0, 1, N2+1))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 394,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/var/folders/yl/6dlgtxk91z39lmwmdl3hk729tcspdz/T/ipykernel_32150/2656170750.py:3: MatplotlibDeprecationWarning: The get_cmap function was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead.\\n\",\n      \"  p = ax1.plot_surface(X, Y, u_mat1, rstride=4, cstride=4, linewidth=0, cmap=mpl.cm.get_cmap(\\\"Reds\\\"))\\n\",\n      \"/var/folders/yl/6dlgtxk91z39lmwmdl3hk729tcspdz/T/ipykernel_32150/2656170750.py:9: MatplotlibDeprecationWarning: The get_cmap function was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead.\\n\",\n      \"  p = ax2.plot_surface(X, Y, u_mat2, rstride=4, cstride=4, linewidth=0, cmap=mpl.cm.get_cmap(\\\"Reds\\\"))\\n\",\n      \"findfont: Font family 'stix' not found.\\n\",\n      \"findfont: Font family 'stix' not found.\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1600x600 with 4 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 473,\n       \"width\": 1257\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(16, 6), subplot_kw={'projection': '3d'})\\n\",\n    \"\\n\",\n    \"p = ax1.plot_surface(X, Y, u_mat1, rstride=4, cstride=4, linewidth=0, cmap=mpl.cm.get_cmap(\\\"Reds\\\"))\\n\",\n    \"cb = fig.colorbar(p, ax=ax1, shrink=0.5)\\n\",\n    \"ax1.set_xlabel(r\\\"$x_1$\\\", fontsize=18)\\n\",\n    \"ax1.set_ylabel(r\\\"$x_2$\\\", fontsize=18)\\n\",\n    \"cb.set_label(r\\\"$u(x_1, x_2)$\\\", fontsize=18)\\n\",\n    \"\\n\",\n    \"p = ax2.plot_surface(X, Y, u_mat2, rstride=4, cstride=4, linewidth=0, cmap=mpl.cm.get_cmap(\\\"Reds\\\"))\\n\",\n    \"cb = fig.colorbar(p, ax=ax2, shrink=0.5)\\n\",\n    \"ax2.set_xlabel(r\\\"$x_1$\\\", fontsize=18)\\n\",\n    \"ax2.set_ylabel(r\\\"$x_2$\\\", fontsize=18)\\n\",\n    \"cb.set_label(r\\\"$u(x_1, x_2)$\\\", fontsize=18)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Triangulation\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 395,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def mesh_triangulation(mesh):\\n\",\n    \"    coordinates = mesh.coordinates()\\n\",\n    \"    triangles = mesh.cells()\\n\",\n    \"    triangulation = mpl.tri.Triangulation(coordinates[:, 0], coordinates[:, 1], triangles)\\n\",\n    \"    return triangulation\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 396,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"triangulation = mesh_triangulation(mesh)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 397,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"findfont: Font family 'stix' not found.\\n\",\n      \"findfont: Font family 'stix' not found.\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1000x400 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 390,\n       \"width\": 980\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 4))\\n\",\n    \"\\n\",\n    \"ax1.triplot(triangulation)\\n\",\n    \"ax1.set_xlabel(r\\\"$x$\\\", fontsize=18)\\n\",\n    \"ax1.set_ylabel(r\\\"$y$\\\", fontsize=18)\\n\",\n    \"\\n\",\n    \"c = ax2.tripcolor(triangulation, np.array(u_sol2.vector()), cmap=cmap)\\n\",\n    \"cb = plt.colorbar(c, ax=ax2)\\n\",\n    \"ax2.set_xlabel(r\\\"$x$\\\", fontsize=18)\\n\",\n    \"ax2.set_ylabel(r\\\"$y$\\\", fontsize=18)\\n\",\n    \"cb.set_label(r\\\"$u(x, y)$\\\", fontsize=18)\\n\",\n    \"cb.set_ticks([0.0, 0.02, 0.04])\\n\",\n    \"\\n\",\n    \"fig.savefig(\\\"ch11-fdm-2d-ex2.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch11-fdm-2d-ex2.png\\\")\\n\",\n    \"fig.tight_layout()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Dirichlet boundary conditions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 398,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"N1 = N2 = 75\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 399,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"mesh = dolfin.RectangleMesh(dolfin.Point(0, 0), dolfin.Point(1, 1), N1, N2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 400,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"V = dolfin.FunctionSpace(mesh, 'Lagrange', 1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 401,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"u = dolfin.TrialFunction(V)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 402,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"v = dolfin.TestFunction(V)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 403,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"a = dolfin.inner(dolfin.nabla_grad(u), dolfin.nabla_grad(v)) * dolfin.dx\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 404,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"f = dolfin.Constant(0.0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 405,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"L = f * v * dolfin.dx\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 406,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def u0_top_boundary(x, on_boundary):\\n\",\n    \"    return on_boundary and abs(x[1]-1) < 1e-8\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 407,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def u0_bottom_boundary(x, on_boundary):\\n\",\n    \"    return on_boundary and abs(x[1]) < 1e-8\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 408,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def u0_left_boundary(x, on_boundary):\\n\",\n    \"    return on_boundary and abs(x[0]) < 1e-8\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 409,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def u0_right_boundary(x, on_boundary):\\n\",\n    \"    return on_boundary and abs(x[0]-1) < 1e-8\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 410,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"bc_t = dolfin.DirichletBC(V, dolfin.Constant(5), u0_top_boundary)\\n\",\n    \"bc_b = dolfin.DirichletBC(V, dolfin.Constant(-5), u0_bottom_boundary)\\n\",\n    \"bc_l = dolfin.DirichletBC(V, dolfin.Constant(3), u0_left_boundary)\\n\",\n    \"bc_r = dolfin.DirichletBC(V, dolfin.Constant(-1), u0_right_boundary)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 411,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"bcs = [bc_t, bc_b, bc_r, bc_l]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 412,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"u_sol = dolfin.Function(V)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 413,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Solving linear variational problem.\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"dolfin.solve(a == L, u_sol, bcs)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 414,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"u_mat = np.array(u_sol.vector()).reshape(N1+1, N2+1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 415,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.linspace(0, 1, N1+2)\\n\",\n    \"y = np.linspace(0, 1, N1+2)\\n\",\n    \"X, Y = np.meshgrid(x, y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 416,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/var/folders/yl/6dlgtxk91z39lmwmdl3hk729tcspdz/T/ipykernel_32150/2989480530.py:3: MatplotlibDeprecationWarning: The get_cmap function was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead.\\n\",\n      \"  c = ax.pcolor(X, Y, u_mat, vmin=-5, vmax=5, cmap=mpl.cm.get_cmap('RdBu_r'))\\n\",\n      \"findfont: Font family 'stix' not found.\\n\",\n      \"findfont: Font family 'stix' not found.\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x600 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 589,\n       \"width\": 768\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(8, 6))\\n\",\n    \"\\n\",\n    \"c = ax.pcolor(X, Y, u_mat, vmin=-5, vmax=5, cmap=mpl.cm.get_cmap('RdBu_r'))\\n\",\n    \"cb = plt.colorbar(c, ax=ax)\\n\",\n    \"ax.set_xlabel(r\\\"$x_1$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(r\\\"$x_2$\\\", fontsize=18)\\n\",\n    \"cb.set_label(r\\\"$u(x_1, x_2)$\\\", fontsize=18)\\n\",\n    \"fig.savefig(\\\"ch11-fdm-2d-ex3.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch11-fdm-2d-ex3.png\\\")\\n\",\n    \"fig.tight_layout()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Circular geometry\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 429,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"r_outer = 1\\n\",\n    \"r_inner = 0.25\\n\",\n    \"r_middle = 0.1\\n\",\n    \"x0, y0 = 0.4, 0.4\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 430,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"domain = mshr.Circle(dolfin.Point(.0, .0), r_outer) \\\\\\n\",\n    \"    - mshr.Circle(dolfin.Point(.0, .0), r_inner) \\\\\\n\",\n    \"    - mshr.Circle(dolfin.Point( x0,  y0), r_middle) \\\\\\n\",\n    \"    - mshr.Circle(dolfin.Point( x0, -y0), r_middle) \\\\\\n\",\n    \"    - mshr.Circle(dolfin.Point(-x0,  y0), r_middle) \\\\\\n\",\n    \"    - mshr.Circle(dolfin.Point(-x0, -y0), r_middle)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 493,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"mesh = mshr.generate_mesh(domain, 25)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 496,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"refined_mesh = mesh\\n\",\n    \"for r in [0.2, 0.1]:\\n\",\n    \"    for (x, y) in [(x0, y0), (-x0, y0), (x0, -y0), (-x0, -y0)]:\\n\",\n    \"        cell_markers = dolfin.MeshFunction(\\\"bool\\\", refined_mesh, 2)\\n\",\n    \"        cell_markers.set_all(False)\\n\",\n    \"        for cell in dolfin.cells(refined_mesh):\\n\",\n    \"            if cell.distance(dolfin.Point(x, y)) < r:\\n\",\n    \"                cell_markers[cell] = True\\n\",\n    \"        refined_mesh = dolfin.refine(refined_mesh, cell_markers)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 498,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/svg+xml\": [\n       \"\\n\",\n       \"    <svg xmlns=\\\"http://www.w3.org/2000/svg\\\" version=\\\"1.1\\\" width=\\\"840\\\" height=\\\"840\\\">\\n\",\n       \"    <line x1=\\\"20\\\" y1=\\\"400\\\" x2=\\\"44\\\" y2=\\\"400\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"20\\\" y1=\\\"400\\\" x2=\\\"21\\\" y2=\\\"380\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"20\\\" y1=\\\"400\\\" x2=\\\"20\\\" y2=\\\"420\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"20\\\" y1=\\\"440\\\" x2=\\\"23\\\" y2=\\\"479\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"20\\\" y1=\\\"440\\\" x2=\\\"51\\\" y2=\\\"456\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"20\\\" y1=\\\"440\\\" x2=\\\"43\\\" y2=\\\"434\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"20\\\" y1=\\\"440\\\" x2=\\\"20\\\" y2=\\\"420\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"23\\\" y1=\\\"479\\\" x2=\\\"31\\\" y2=\\\"518\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"23\\\" y1=\\\"479\\\" x2=\\\"51\\\" y2=\\\"456\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"23\\\" y1=\\\"479\\\" x2=\\\"50\\\" y2=\\\"494\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"31\\\" y1=\\\"518\\\" x2=\\\"50\\\" y2=\\\"494\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"31\\\" y1=\\\"518\\\" x2=\\\"59\\\" y2=\\\"516\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"31\\\" y1=\\\"518\\\" x2=\\\"37\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"43\\\" y1=\\\"557\\\" x2=\\\"59\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"43\\\" y1=\\\"557\\\" x2=\\\"70\\\" y2=\\\"536\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"43\\\" y1=\\\"557\\\" x2=\\\"70\\\" y2=\\\"567\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"43\\\" y1=\\\"557\\\" x2=\\\"37\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"59\\\" y1=\\\"593\\\" x2=\\\"70\\\" y2=\\\"567\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"59\\\" y1=\\\"593\\\" x2=\\\"81\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"59\\\" y1=\\\"593\\\" x2=\\\"68\\\" y2=\\\"611\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"78\\\" y1=\\\"628\\\" x2=\\\"100\\\" y2=\\\"661\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"78\\\" y1=\\\"628\\\" x2=\\\"106\\\" y2=\\\"624\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"78\\\" y1=\\\"628\\\" x2=\\\"68\\\" y2=\\\"611\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"78\\\" y1=\\\"628\\\" x2=\\\"90\\\" y2=\\\"612\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"100\\\" y1=\\\"661\\\" x2=\\\"126\\\" y2=\\\"692\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"100\\\" y1=\\\"661\\\" x2=\\\"106\\\" y2=\\\"624\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"100\\\" y1=\\\"661\\\" x2=\\\"124\\\" y2=\\\"653\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"126\\\" y1=\\\"692\\\" x2=\\\"154\\\" y2=\\\"720\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"126\\\" y1=\\\"692\\\" x2=\\\"147\\\" y2=\\\"663\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"126\\\" y1=\\\"692\\\" x2=\\\"159\\\" y2=\\\"690\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"126\\\" y1=\\\"692\\\" x2=\\\"124\\\" y2=\\\"653\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"154\\\" y1=\\\"720\\\" x2=\\\"186\\\" y2=\\\"745\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"154\\\" y1=\\\"720\\\" x2=\\\"159\\\" y2=\\\"690\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"154\\\" y1=\\\"720\\\" x2=\\\"174\\\" y2=\\\"708\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"186\\\" y1=\\\"745\\\" x2=\\\"219\\\" y2=\\\"766\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"186\\\" y1=\\\"745\\\" x2=\\\"221\\\" y2=\\\"726\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"186\\\" y1=\\\"745\\\" x2=\\\"194\\\" y2=\\\"717\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"186\\\" y1=\\\"745\\\" x2=\\\"174\\\" y2=\\\"708\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"219\\\" y1=\\\"766\\\" x2=\\\"221\\\" y2=\\\"726\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"219\\\" y1=\\\"766\\\" x2=\\\"239\\\" y2=\\\"747\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"219\\\" y1=\\\"766\\\" x2=\\\"237\\\" y2=\\\"775\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"255\\\" y1=\\\"784\\\" x2=\\\"269\\\" y2=\\\"760\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"255\\\" y1=\\\"784\\\" x2=\\\"273\\\" y2=\\\"792\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"255\\\" y1=\\\"784\\\" x2=\\\"237\\\" y2=\\\"775\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"292\\\" y1=\\\"799\\\" x2=\\\"330\\\" y2=\\\"810\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"292\\\" y1=\\\"799\\\" x2=\\\"320\\\" y2=\\\"779\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"292\\\" y1=\\\"799\\\" x2=\\\"273\\\" y2=\\\"792\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"292\\\" y1=\\\"799\\\" x2=\\\"299\\\" y2=\\\"779\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"330\\\" y1=\\\"810\\\" x2=\\\"369\\\" y2=\\\"817\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"330\\\" y1=\\\"810\\\" x2=\\\"353\\\" y2=\\\"784\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"330\\\" y1=\\\"810\\\" x2=\\\"320\\\" y2=\\\"779\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"369\\\" y1=\\\"817\\\" x2=\\\"387\\\" y2=\\\"782\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"369\\\" y1=\\\"817\\\" x2=\\\"353\\\" y2=\\\"784\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"369\\\" y1=\\\"817\\\" x2=\\\"389\\\" y2=\\\"818\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"409\\\" y1=\\\"820\\\" x2=\\\"449\\\" y2=\\\"819\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"409\\\" y1=\\\"820\\\" x2=\\\"439\\\" y2=\\\"797\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"409\\\" y1=\\\"820\\\" x2=\\\"408\\\" y2=\\\"795\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"409\\\" y1=\\\"820\\\" x2=\\\"389\\\" y2=\\\"818\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"449\\\" y1=\\\"819\\\" x2=\\\"460\\\" y2=\\\"785\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"449\\\" y1=\\\"819\\\" x2=\\\"439\\\" y2=\\\"797\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"449\\\" y1=\\\"819\\\" x2=\\\"469\\\" y2=\\\"816\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"489\\\" y1=\\\"814\\\" x2=\\\"528\\\" y2=\\\"805\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"489\\\" y1=\\\"814\\\" x2=\\\"502\\\" y2=\\\"781\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"489\\\" y1=\\\"814\\\" x2=\\\"482\\\" y2=\\\"792\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"489\\\" y1=\\\"814\\\" x2=\\\"469\\\" y2=\\\"816\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"528\\\" y1=\\\"805\\\" x2=\\\"502\\\" y2=\\\"781\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"528\\\" y1=\\\"805\\\" x2=\\\"547\\\" y2=\\\"799\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"528\\\" y1=\\\"805\\\" x2=\\\"527\\\" y2=\\\"780\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"792\\\" x2=\\\"559\\\" y2=\\\"759\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"792\\\" x2=\\\"547\\\" y2=\\\"799\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"792\\\" x2=\\\"584\\\" y2=\\\"784\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"792\\\" x2=\\\"548\\\" y2=\\\"778\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"602\\\" y1=\\\"776\\\" x2=\\\"636\\\" y2=\\\"756\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"602\\\" y1=\\\"776\\\" x2=\\\"604\\\" y2=\\\"739\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"602\\\" y1=\\\"776\\\" x2=\\\"581\\\" y2=\\\"749\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"602\\\" y1=\\\"776\\\" x2=\\\"584\\\" y2=\\\"784\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"636\\\" y1=\\\"756\\\" x2=\\\"669\\\" y2=\\\"733\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"636\\\" y1=\\\"756\\\" x2=\\\"604\\\" y2=\\\"739\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"636\\\" y1=\\\"756\\\" x2=\\\"635\\\" y2=\\\"718\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"669\\\" y1=\\\"733\\\" x2=\\\"699\\\" y2=\\\"706\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"669\\\" y1=\\\"733\\\" x2=\\\"635\\\" y2=\\\"718\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"669\\\" y1=\\\"733\\\" x2=\\\"657\\\" y2=\\\"712\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"669\\\" y1=\\\"733\\\" x2=\\\"679\\\" y2=\\\"695\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"699\\\" y1=\\\"706\\\" x2=\\\"726\\\" y2=\\\"677\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"699\\\" y1=\\\"706\\\" x2=\\\"687\\\" y2=\\\"674\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"699\\\" y1=\\\"706\\\" x2=\\\"679\\\" y2=\\\"695\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"726\\\" y1=\\\"677\\\" x2=\\\"687\\\" y2=\\\"674\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"726\\\" y1=\\\"677\\\" x2=\\\"738\\\" y2=\\\"661\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"726\\\" y1=\\\"677\\\" x2=\\\"715\\\" y2=\\\"656\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"750\\\" y1=\\\"645\\\" x2=\\\"738\\\" y2=\\\"661\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"750\\\" y1=\\\"645\\\" x2=\\\"725\\\" y2=\\\"632\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"750\\\" y1=\\\"645\\\" x2=\\\"760\\\" y2=\\\"628\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"771\\\" y1=\\\"611\\\" x2=\\\"788\\\" y2=\\\"575\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"771\\\" y1=\\\"611\\\" x2=\\\"731\\\" y2=\\\"604\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"771\\\" y1=\\\"611\\\" x2=\\\"755\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"771\\\" y1=\\\"611\\\" x2=\\\"760\\\" y2=\\\"628\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"788\\\" y1=\\\"575\\\" x2=\\\"802\\\" y2=\\\"538\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"788\\\" y1=\\\"575\\\" x2=\\\"766\\\" y2=\\\"546\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"788\\\" y1=\\\"575\\\" x2=\\\"755\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"788\\\" y1=\\\"575\\\" x2=\\\"757\\\" y2=\\\"565\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"802\\\" y1=\\\"538\\\" x2=\\\"766\\\" y2=\\\"546\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"802\\\" y1=\\\"538\\\" x2=\\\"780\\\" y2=\\\"526\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"802\\\" y1=\\\"538\\\" x2=\\\"807\\\" y2=\\\"518\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"812\\\" y1=\\\"499\\\" x2=\\\"783\\\" y2=\\\"502\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"812\\\" y1=\\\"499\\\" x2=\\\"815\\\" y2=\\\"479\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"812\\\" y1=\\\"499\\\" x2=\\\"807\\\" y2=\\\"518\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"818\\\" y1=\\\"459\\\" x2=\\\"815\\\" y2=\\\"479\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"818\\\" y1=\\\"459\\\" x2=\\\"795\\\" y2=\\\"466\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"818\\\" y1=\\\"459\\\" x2=\\\"819\\\" y2=\\\"440\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"820\\\" y1=\\\"420\\\" x2=\\\"795\\\" y2=\\\"417\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"820\\\" y1=\\\"420\\\" x2=\\\"819\\\" y2=\\\"440\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"820\\\" y1=\\\"420\\\" x2=\\\"819\\\" y2=\\\"400\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"818\\\" y1=\\\"380\\\" x2=\\\"793\\\" y2=\\\"376\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"818\\\" y1=\\\"380\\\" x2=\\\"819\\\" y2=\\\"400\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"818\\\" y1=\\\"380\\\" x2=\\\"815\\\" y2=\\\"360\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"812\\\" y1=\\\"340\\\" x2=\\\"802\\\" y2=\\\"302\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"812\\\" y1=\\\"340\\\" x2=\\\"778\\\" y2=\\\"356\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"812\\\" y1=\\\"340\\\" x2=\\\"785\\\" y2=\\\"329\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"812\\\" y1=\\\"340\\\" x2=\\\"815\\\" y2=\\\"360\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"802\\\" y1=\\\"302\\\" x2=\\\"788\\\" y2=\\\"264\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"802\\\" y1=\\\"302\\\" x2=\\\"770\\\" y2=\\\"296\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"802\\\" y1=\\\"302\\\" x2=\\\"785\\\" y2=\\\"329\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"788\\\" y1=\\\"264\\\" x2=\\\"755\\\" y2=\\\"266\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"788\\\" y1=\\\"264\\\" x2=\\\"770\\\" y2=\\\"296\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"788\\\" y1=\\\"264\\\" x2=\\\"779\\\" y2=\\\"246\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"771\\\" y1=\\\"228\\\" x2=\\\"744\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"771\\\" y1=\\\"228\\\" x2=\\\"760\\\" y2=\\\"211\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"771\\\" y1=\\\"228\\\" x2=\\\"779\\\" y2=\\\"246\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"771\\\" y1=\\\"228\\\" x2=\\\"741\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"750\\\" y1=\\\"194\\\" x2=\\\"726\\\" y2=\\\"162\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"750\\\" y1=\\\"194\\\" x2=\\\"721\\\" y2=\\\"191\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"750\\\" y1=\\\"194\\\" x2=\\\"760\\\" y2=\\\"211\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"750\\\" y1=\\\"194\\\" x2=\\\"741\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"726\\\" y1=\\\"162\\\" x2=\\\"721\\\" y2=\\\"191\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"726\\\" y1=\\\"162\\\" x2=\\\"712\\\" y2=\\\"148\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"726\\\" y1=\\\"162\\\" x2=\\\"705\\\" y2=\\\"168\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"699\\\" y1=\\\"133\\\" x2=\\\"712\\\" y2=\\\"148\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"699\\\" y1=\\\"133\\\" x2=\\\"683\\\" y2=\\\"154\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"699\\\" y1=\\\"133\\\" x2=\\\"684\\\" y2=\\\"120\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"669\\\" y1=\\\"107\\\" x2=\\\"653\\\" y2=\\\"95\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"669\\\" y1=\\\"107\\\" x2=\\\"684\\\" y2=\\\"120\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"669\\\" y1=\\\"107\\\" x2=\\\"658\\\" y2=\\\"128\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"636\\\" y1=\\\"83\\\" x2=\\\"602\\\" y2=\\\"63\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"636\\\" y1=\\\"83\\\" x2=\\\"598\\\" y2=\\\"89\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"636\\\" y1=\\\"83\\\" x2=\\\"653\\\" y2=\\\"95\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"636\\\" y1=\\\"83\\\" x2=\\\"632\\\" y2=\\\"107\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"602\\\" y1=\\\"63\\\" x2=\\\"565\\\" y2=\\\"47\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"602\\\" y1=\\\"63\\\" x2=\\\"574\\\" y2=\\\"80\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"602\\\" y1=\\\"63\\\" x2=\\\"598\\\" y2=\\\"89\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"47\\\" x2=\\\"574\\\" y2=\\\"80\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"47\\\" x2=\\\"547\\\" y2=\\\"41\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"47\\\" x2=\\\"557\\\" y2=\\\"67\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"528\\\" y1=\\\"34\\\" x2=\\\"489\\\" y2=\\\"25\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"528\\\" y1=\\\"34\\\" x2=\\\"501\\\" y2=\\\"52\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"528\\\" y1=\\\"34\\\" x2=\\\"520\\\" y2=\\\"68\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"528\\\" y1=\\\"34\\\" x2=\\\"547\\\" y2=\\\"41\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"489\\\" y1=\\\"25\\\" x2=\\\"472\\\" y2=\\\"58\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"489\\\" y1=\\\"25\\\" x2=\\\"501\\\" y2=\\\"52\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"489\\\" y1=\\\"25\\\" x2=\\\"469\\\" y2=\\\"23\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"449\\\" y1=\\\"20\\\" x2=\\\"409\\\" y2=\\\"20\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"449\\\" y1=\\\"20\\\" x2=\\\"425\\\" y2=\\\"43\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"449\\\" y1=\\\"20\\\" x2=\\\"449\\\" y2=\\\"47\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"449\\\" y1=\\\"20\\\" x2=\\\"469\\\" y2=\\\"23\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"409\\\" y1=\\\"20\\\" x2=\\\"369\\\" y2=\\\"22\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"409\\\" y1=\\\"20\\\" x2=\\\"401\\\" y2=\\\"59\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"409\\\" y1=\\\"20\\\" x2=\\\"425\\\" y2=\\\"43\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"409\\\" y1=\\\"20\\\" x2=\\\"379\\\" y2=\\\"46\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"369\\\" y1=\\\"22\\\" x2=\\\"350\\\" y2=\\\"26\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"369\\\" y1=\\\"22\\\" x2=\\\"379\\\" y2=\\\"46\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"369\\\" y1=\\\"22\\\" x2=\\\"358\\\" y2=\\\"45\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"330\\\" y1=\\\"29\\\" x2=\\\"292\\\" y2=\\\"40\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"330\\\" y1=\\\"29\\\" x2=\\\"337\\\" y2=\\\"57\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"330\\\" y1=\\\"29\\\" x2=\\\"308\\\" y2=\\\"62\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"330\\\" y1=\\\"29\\\" x2=\\\"350\\\" y2=\\\"26\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"330\\\" y1=\\\"29\\\" x2=\\\"358\\\" y2=\\\"45\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"292\\\" y1=\\\"40\\\" x2=\\\"255\\\" y2=\\\"55\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"292\\\" y1=\\\"40\\\" x2=\\\"282\\\" y2=\\\"69\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"292\\\" y1=\\\"40\\\" x2=\\\"308\\\" y2=\\\"62\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"255\\\" y1=\\\"55\\\" x2=\\\"219\\\" y2=\\\"73\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"255\\\" y1=\\\"55\\\" x2=\\\"249\\\" y2=\\\"87\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"255\\\" y1=\\\"55\\\" x2=\\\"282\\\" y2=\\\"69\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"255\\\" y1=\\\"55\\\" x2=\\\"269\\\" y2=\\\"88\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"219\\\" y1=\\\"73\\\" x2=\\\"186\\\" y2=\\\"95\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"219\\\" y1=\\\"73\\\" x2=\\\"249\\\" y2=\\\"87\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"219\\\" y1=\\\"73\\\" x2=\\\"225\\\" y2=\\\"98\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"186\\\" y1=\\\"95\\\" x2=\\\"225\\\" y2=\\\"98\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"186\\\" y1=\\\"95\\\" x2=\\\"170\\\" y2=\\\"107\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"186\\\" y1=\\\"95\\\" x2=\\\"191\\\" y2=\\\"117\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"154\\\" y1=\\\"120\\\" x2=\\\"126\\\" y2=\\\"147\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"154\\\" y1=\\\"120\\\" x2=\\\"161\\\" y2=\\\"155\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"154\\\" y1=\\\"120\\\" x2=\\\"188\\\" y2=\\\"140\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"154\\\" y1=\\\"120\\\" x2=\\\"170\\\" y2=\\\"107\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"126\\\" y1=\\\"147\\\" x2=\\\"100\\\" y2=\\\"178\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"126\\\" y1=\\\"147\\\" x2=\\\"161\\\" y2=\\\"155\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"126\\\" y1=\\\"147\\\" x2=\\\"133\\\" y2=\\\"179\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"126\\\" y1=\\\"147\\\" x2=\\\"147\\\" y2=\\\"167\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"100\\\" y1=\\\"178\\\" x2=\\\"133\\\" y2=\\\"179\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"100\\\" y1=\\\"178\\\" x2=\\\"89\\\" y2=\\\"194\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"100\\\" y1=\\\"178\\\" x2=\\\"116\\\" y2=\\\"193\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"78\\\" y1=\\\"211\\\" x2=\\\"97\\\" y2=\\\"223\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"78\\\" y1=\\\"211\\\" x2=\\\"89\\\" y2=\\\"194\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"78\\\" y1=\\\"211\\\" x2=\\\"68\\\" y2=\\\"228\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"59\\\" y1=\\\"246\\\" x2=\\\"43\\\" y2=\\\"283\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"59\\\" y1=\\\"246\\\" x2=\\\"70\\\" y2=\\\"283\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"59\\\" y1=\\\"246\\\" x2=\\\"78\\\" y2=\\\"261\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"59\\\" y1=\\\"246\\\" x2=\\\"68\\\" y2=\\\"228\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"43\\\" y1=\\\"283\\\" x2=\\\"31\\\" y2=\\\"321\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"43\\\" y1=\\\"283\\\" x2=\\\"62\\\" y2=\\\"310\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"43\\\" y1=\\\"283\\\" x2=\\\"70\\\" y2=\\\"283\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"31\\\" y1=\\\"321\\\" x2=\\\"23\\\" y2=\\\"360\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"31\\\" y1=\\\"321\\\" x2=\\\"62\\\" y2=\\\"310\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"31\\\" y1=\\\"321\\\" x2=\\\"53\\\" y2=\\\"347\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"23\\\" y1=\\\"360\\\" x2=\\\"57\\\" y2=\\\"379\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"23\\\" y1=\\\"360\\\" x2=\\\"53\\\" y2=\\\"347\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"23\\\" y1=\\\"360\\\" x2=\\\"21\\\" y2=\\\"380\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"545\\\" x2=\\\"612\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"545\\\" x2=\\\"602\\\" y2=\\\"530\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"545\\\" x2=\\\"594\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"545\\\" x2=\\\"602\\\" y2=\\\"549\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"545\\\" x2=\\\"608\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"545\\\" x2=\\\"596\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"580\\\" x2=\\\"629\\\" y2=\\\"579\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"580\\\" x2=\\\"625\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"580\\\" x2=\\\"624\\\" y2=\\\"575\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"580\\\" x2=\\\"617\\\" y2=\\\"584\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"580\\\" x2=\\\"617\\\" y2=\\\"575\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"580\\\" x2=\\\"621\\\" y2=\\\"571\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"614\\\" x2=\\\"598\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"614\\\" x2=\\\"605\\\" y2=\\\"617\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"614\\\" x2=\\\"602\\\" y2=\\\"610\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"614\\\" x2=\\\"594\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"614\\\" x2=\\\"608\\\" y2=\\\"613\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"614\\\" x2=\\\"556\\\" y2=\\\"628\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"614\\\" x2=\\\"554\\\" y2=\\\"606\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"614\\\" x2=\\\"552\\\" y2=\\\"613\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"614\\\" x2=\\\"552\\\" y2=\\\"619\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"614\\\" x2=\\\"564\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"614\\\" x2=\\\"563\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"539\\\" y1=\\\"580\\\" x2=\\\"544\\\" y2=\\\"588\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"539\\\" y1=\\\"580\\\" x2=\\\"535\\\" y2=\\\"573\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"539\\\" y1=\\\"580\\\" x2=\\\"537\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"539\\\" y1=\\\"580\\\" x2=\\\"532\\\" y2=\\\"580\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"539\\\" y1=\\\"580\\\" x2=\\\"542\\\" y2=\\\"575\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"545\\\" x2=\\\"548\\\" y2=\\\"536\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"545\\\" x2=\\\"559\\\" y2=\\\"530\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"545\\\" x2=\\\"550\\\" y2=\\\"547\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"545\\\" x2=\\\"564\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"545\\\" x2=\\\"557\\\" y2=\\\"549\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"545\\\" x2=\\\"564\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"225\\\" x2=\\\"606\\\" y2=\\\"216\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"225\\\" x2=\\\"604\\\" y2=\\\"234\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"225\\\" x2=\\\"594\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"225\\\" x2=\\\"607\\\" y2=\\\"224\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"225\\\" x2=\\\"594\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"225\\\" x2=\\\"598\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"260\\\" x2=\\\"614\\\" y2=\\\"251\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"260\\\" x2=\\\"614\\\" y2=\\\"268\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"260\\\" x2=\\\"624\\\" y2=\\\"268\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"260\\\" x2=\\\"628\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"260\\\" x2=\\\"622\\\" y2=\\\"250\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"260\\\" x2=\\\"626\\\" y2=\\\"262\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"294\\\" x2=\\\"604\\\" y2=\\\"286\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"294\\\" x2=\\\"609\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"294\\\" x2=\\\"605\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"294\\\" x2=\\\"598\\\" y2=\\\"300\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"294\\\" x2=\\\"594\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"294\\\" x2=\\\"545\\\" y2=\\\"297\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"294\\\" x2=\\\"562\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"294\\\" x2=\\\"556\\\" y2=\\\"302\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"294\\\" x2=\\\"557\\\" y2=\\\"290\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"294\\\" x2=\\\"564\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"294\\\" x2=\\\"550\\\" y2=\\\"291\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"539\\\" y1=\\\"260\\\" x2=\\\"537\\\" y2=\\\"252\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"539\\\" y1=\\\"260\\\" x2=\\\"533\\\" y2=\\\"263\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"539\\\" y1=\\\"260\\\" x2=\\\"535\\\" y2=\\\"257\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"539\\\" y1=\\\"260\\\" x2=\\\"542\\\" y2=\\\"264\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"539\\\" y1=\\\"260\\\" x2=\\\"542\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"539\\\" y1=\\\"260\\\" x2=\\\"536\\\" y2=\\\"267\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"225\\\" x2=\\\"558\\\" y2=\\\"214\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"225\\\" x2=\\\"553\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"225\\\" x2=\\\"552\\\" y2=\\\"226\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"225\\\" x2=\\\"564\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"225\\\" x2=\\\"564\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"225\\\" x2=\\\"557\\\" y2=\\\"229\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"512\\\" y1=\\\"381\\\" x2=\\\"519\\\" y2=\\\"420\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"512\\\" y1=\\\"381\\\" x2=\\\"536\\\" y2=\\\"396\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"512\\\" y1=\\\"381\\\" x2=\\\"527\\\" y2=\\\"357\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"512\\\" y1=\\\"381\\\" x2=\\\"542\\\" y2=\\\"375\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"512\\\" y1=\\\"381\\\" x2=\\\"501\\\" y2=\\\"365\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"519\\\" y1=\\\"420\\\" x2=\\\"536\\\" y2=\\\"396\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"519\\\" y1=\\\"420\\\" x2=\\\"516\\\" y2=\\\"439\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"519\\\" y1=\\\"420\\\" x2=\\\"544\\\" y2=\\\"434\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"519\\\" y1=\\\"420\\\" x2=\\\"549\\\" y2=\\\"413\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"512\\\" y1=\\\"458\\\" x2=\\\"490\\\" y2=\\\"490\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"512\\\" y1=\\\"458\\\" x2=\\\"516\\\" y2=\\\"439\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"512\\\" y1=\\\"458\\\" x2=\\\"531\\\" y2=\\\"475\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"512\\\" y1=\\\"458\\\" x2=\\\"533\\\" y2=\\\"454\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"512\\\" y1=\\\"458\\\" x2=\\\"513\\\" y2=\\\"478\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"490\\\" y1=\\\"490\\\" x2=\\\"458\\\" y2=\\\"512\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"490\\\" y1=\\\"490\\\" x2=\\\"509\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"490\\\" y1=\\\"490\\\" x2=\\\"481\\\" y2=\\\"528\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"490\\\" y1=\\\"490\\\" x2=\\\"514\\\" y2=\\\"498\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"490\\\" y1=\\\"490\\\" x2=\\\"513\\\" y2=\\\"478\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"458\\\" y1=\\\"512\\\" x2=\\\"481\\\" y2=\\\"528\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"458\\\" y1=\\\"512\\\" x2=\\\"459\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"458\\\" y1=\\\"512\\\" x2=\\\"438\\\" y2=\\\"516\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"419\\\" y1=\\\"520\\\" x2=\\\"400\\\" y2=\\\"516\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"419\\\" y1=\\\"520\\\" x2=\\\"402\\\" y2=\\\"543\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"419\\\" y1=\\\"520\\\" x2=\\\"431\\\" y2=\\\"544\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"419\\\" y1=\\\"520\\\" x2=\\\"438\\\" y2=\\\"516\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"381\\\" y1=\\\"512\\\" x2=\\\"375\\\" y2=\\\"551\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"381\\\" y1=\\\"512\\\" x2=\\\"400\\\" y2=\\\"516\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"381\\\" y1=\\\"512\\\" x2=\\\"360\\\" y2=\\\"529\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"381\\\" y1=\\\"512\\\" x2=\\\"402\\\" y2=\\\"543\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"381\\\" y1=\\\"512\\\" x2=\\\"365\\\" y2=\\\"501\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"348\\\" y1=\\\"490\\\" x2=\\\"327\\\" y2=\\\"458\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"348\\\" y1=\\\"490\\\" x2=\\\"317\\\" y2=\\\"488\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"348\\\" y1=\\\"490\\\" x2=\\\"335\\\" y2=\\\"515\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"348\\\" y1=\\\"490\\\" x2=\\\"365\\\" y2=\\\"501\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"348\\\" y1=\\\"490\\\" x2=\\\"326\\\" y2=\\\"501\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"348\\\" y1=\\\"490\\\" x2=\\\"350\\\" y2=\\\"508\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"327\\\" y1=\\\"458\\\" x2=\\\"317\\\" y2=\\\"488\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"327\\\" y1=\\\"458\\\" x2=\\\"296\\\" y2=\\\"463\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"327\\\" y1=\\\"458\\\" x2=\\\"323\\\" y2=\\\"439\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"327\\\" y1=\\\"458\\\" x2=\\\"302\\\" y2=\\\"442\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"319\\\" y1=\\\"420\\\" x2=\\\"323\\\" y2=\\\"400\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"319\\\" y1=\\\"420\\\" x2=\\\"293\\\" y2=\\\"422\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"319\\\" y1=\\\"420\\\" x2=\\\"323\\\" y2=\\\"439\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"319\\\" y1=\\\"420\\\" x2=\\\"303\\\" y2=\\\"394\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"319\\\" y1=\\\"420\\\" x2=\\\"302\\\" y2=\\\"442\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"327\\\" y1=\\\"381\\\" x2=\\\"348\\\" y2=\\\"349\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"327\\\" y1=\\\"381\\\" x2=\\\"316\\\" y2=\\\"350\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"327\\\" y1=\\\"381\\\" x2=\\\"298\\\" y2=\\\"374\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"327\\\" y1=\\\"381\\\" x2=\\\"323\\\" y2=\\\"400\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"327\\\" y1=\\\"381\\\" x2=\\\"303\\\" y2=\\\"394\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"348\\\" y1=\\\"349\\\" x2=\\\"381\\\" y2=\\\"327\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"348\\\" y1=\\\"349\\\" x2=\\\"316\\\" y2=\\\"350\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"348\\\" y1=\\\"349\\\" x2=\\\"349\\\" y2=\\\"317\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"348\\\" y1=\\\"349\\\" x2=\\\"333\\\" y2=\\\"332\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"381\\\" y1=\\\"327\\\" x2=\\\"419\\\" y2=\\\"320\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"381\\\" y1=\\\"327\\\" x2=\\\"349\\\" y2=\\\"317\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"381\\\" y1=\\\"327\\\" x2=\\\"368\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"381\\\" y1=\\\"327\\\" x2=\\\"388\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"419\\\" y1=\\\"320\\\" x2=\\\"438\\\" y2=\\\"323\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"419\\\" y1=\\\"320\\\" x2=\\\"435\\\" y2=\\\"295\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"419\\\" y1=\\\"320\\\" x2=\\\"406\\\" y2=\\\"296\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"419\\\" y1=\\\"320\\\" x2=\\\"388\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"458\\\" y1=\\\"327\\\" x2=\\\"490\\\" y2=\\\"349\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"458\\\" y1=\\\"327\\\" x2=\\\"463\\\" y2=\\\"288\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"458\\\" y1=\\\"327\\\" x2=\\\"438\\\" y2=\\\"323\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"458\\\" y1=\\\"327\\\" x2=\\\"435\\\" y2=\\\"295\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"458\\\" y1=\\\"327\\\" x2=\\\"496\\\" y2=\\\"323\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"458\\\" y1=\\\"327\\\" x2=\\\"479\\\" y2=\\\"306\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"490\\\" y1=\\\"349\\\" x2=\\\"522\\\" y2=\\\"329\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"490\\\" y1=\\\"349\\\" x2=\\\"496\\\" y2=\\\"323\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"490\\\" y1=\\\"349\\\" x2=\\\"501\\\" y2=\\\"365\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"490\\\" y1=\\\"349\\\" x2=\\\"509\\\" y2=\\\"353\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"545\\\" x2=\\\"281\\\" y2=\\\"529\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"545\\\" x2=\\\"284\\\" y2=\\\"554\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"545\\\" x2=\\\"286\\\" y2=\\\"538\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"545\\\" x2=\\\"274\\\" y2=\\\"539\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"545\\\" x2=\\\"287\\\" y2=\\\"547\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"545\\\" x2=\\\"274\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"299\\\" y1=\\\"580\\\" x2=\\\"294\\\" y2=\\\"571\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"299\\\" y1=\\\"580\\\" x2=\\\"302\\\" y2=\\\"573\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"299\\\" y1=\\\"580\\\" x2=\\\"305\\\" y2=\\\"580\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"299\\\" y1=\\\"580\\\" x2=\\\"297\\\" y2=\\\"584\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"299\\\" y1=\\\"580\\\" x2=\\\"302\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"614\\\" x2=\\\"287\\\" y2=\\\"617\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"614\\\" x2=\\\"274\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"614\\\" x2=\\\"278\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"614\\\" x2=\\\"282\\\" y2=\\\"610\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"614\\\" x2=\\\"287\\\" y2=\\\"612\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"614\\\" x2=\\\"286\\\" y2=\\\"624\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"614\\\" x2=\\\"273\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"614\\\" x2=\\\"239\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"614\\\" x2=\\\"231\\\" y2=\\\"616\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"614\\\" x2=\\\"244\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"614\\\" x2=\\\"237\\\" y2=\\\"610\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"614\\\" x2=\\\"231\\\" y2=\\\"622\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"614\\\" x2=\\\"244\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"219\\\" y1=\\\"580\\\" x2=\\\"215\\\" y2=\\\"575\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"219\\\" y1=\\\"580\\\" x2=\\\"213\\\" y2=\\\"581\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"219\\\" y1=\\\"580\\\" x2=\\\"222\\\" y2=\\\"584\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"219\\\" y1=\\\"580\\\" x2=\\\"222\\\" y2=\\\"575\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"219\\\" y1=\\\"580\\\" x2=\\\"216\\\" y2=\\\"585\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"545\\\" x2=\\\"223\\\" y2=\\\"541\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"545\\\" x2=\\\"239\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"545\\\" x2=\\\"223\\\" y2=\\\"531\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"545\\\" x2=\\\"237\\\" y2=\\\"549\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"545\\\" x2=\\\"244\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"545\\\" x2=\\\"229\\\" y2=\\\"548\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"545\\\" x2=\\\"244\\\" y2=\\\"540\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"225\\\" x2=\\\"283\\\" y2=\\\"211\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"225\\\" x2=\\\"291\\\" y2=\\\"221\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"225\\\" x2=\\\"274\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"225\\\" x2=\\\"282\\\" y2=\\\"229\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"225\\\" x2=\\\"274\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"225\\\" x2=\\\"288\\\" y2=\\\"227\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"299\\\" y1=\\\"260\\\" x2=\\\"294\\\" y2=\\\"268\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"299\\\" y1=\\\"260\\\" x2=\\\"302\\\" y2=\\\"267\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"299\\\" y1=\\\"260\\\" x2=\\\"297\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"299\\\" y1=\\\"260\\\" x2=\\\"303\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"299\\\" y1=\\\"260\\\" x2=\\\"304\\\" y2=\\\"262\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"294\\\" x2=\\\"284\\\" y2=\\\"286\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"294\\\" x2=\\\"274\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"294\\\" x2=\\\"287\\\" y2=\\\"293\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"294\\\" x2=\\\"281\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"279\\\" y1=\\\"294\\\" x2=\\\"274\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"294\\\" x2=\\\"234\\\" y2=\\\"286\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"294\\\" x2=\\\"232\\\" y2=\\\"293\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"294\\\" x2=\\\"234\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"294\\\" x2=\\\"239\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"294\\\" x2=\\\"244\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"219\\\" y1=\\\"260\\\" x2=\\\"224\\\" y2=\\\"268\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"219\\\" y1=\\\"260\\\" x2=\\\"217\\\" y2=\\\"267\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"219\\\" y1=\\\"260\\\" x2=\\\"222\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"219\\\" y1=\\\"260\\\" x2=\\\"215\\\" y2=\\\"256\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"219\\\" y1=\\\"260\\\" x2=\\\"214\\\" y2=\\\"262\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"225\\\" x2=\\\"227\\\" y2=\\\"216\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"225\\\" x2=\\\"238\\\" y2=\\\"216\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"225\\\" x2=\\\"244\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"225\\\" x2=\\\"237\\\" y2=\\\"229\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"225\\\" x2=\\\"244\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"225\\\" x2=\\\"231\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"419\\\" y1=\\\"670\\\" x2=\\\"401\\\" y2=\\\"703\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"419\\\" y1=\\\"670\\\" x2=\\\"385\\\" y2=\\\"671\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"419\\\" y1=\\\"670\\\" x2=\\\"452\\\" y2=\\\"668\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"419\\\" y1=\\\"670\\\" x2=\\\"429\\\" y2=\\\"697\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"419\\\" y1=\\\"670\\\" x2=\\\"402\\\" y2=\\\"654\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"419\\\" y1=\\\"670\\\" x2=\\\"435\\\" y2=\\\"651\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"421\\\" y1=\\\"168\\\" x2=\\\"388\\\" y2=\\\"171\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"421\\\" y1=\\\"168\\\" x2=\\\"427\\\" y2=\\\"134\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"421\\\" y1=\\\"168\\\" x2=\\\"438\\\" y2=\\\"192\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"421\\\" y1=\\\"168\\\" x2=\\\"411\\\" y2=\\\"193\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"421\\\" y1=\\\"168\\\" x2=\\\"446\\\" y2=\\\"169\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"421\\\" y1=\\\"168\\\" x2=\\\"411\\\" y2=\\\"149\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"164\\\" y1=\\\"420\\\" x2=\\\"164\\\" y2=\\\"387\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"164\\\" y1=\\\"420\\\" x2=\\\"186\\\" y2=\\\"403\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"164\\\" y1=\\\"420\\\" x2=\\\"143\\\" y2=\\\"435\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"164\\\" y1=\\\"420\\\" x2=\\\"143\\\" y2=\\\"407\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"164\\\" y1=\\\"420\\\" x2=\\\"188\\\" y2=\\\"432\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"164\\\" y1=\\\"420\\\" x2=\\\"161\\\" y2=\\\"454\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"681\\\" y1=\\\"407\\\" x2=\\\"664\\\" y2=\\\"436\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"681\\\" y1=\\\"407\\\" x2=\\\"707\\\" y2=\\\"391\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"681\\\" y1=\\\"407\\\" x2=\\\"653\\\" y2=\\\"408\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"681\\\" y1=\\\"407\\\" x2=\\\"684\\\" y2=\\\"382\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"681\\\" y1=\\\"407\\\" x2=\\\"703\\\" y2=\\\"414\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"681\\\" y1=\\\"407\\\" x2=\\\"685\\\" y2=\\\"429\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"681\\\" y1=\\\"407\\\" x2=\\\"663\\\" y2=\\\"389\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"514\\\" y1=\\\"705\\\" x2=\\\"495\\\" y2=\\\"735\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"514\\\" y1=\\\"705\\\" x2=\\\"489\\\" y2=\\\"684\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"514\\\" y1=\\\"705\\\" x2=\\\"541\\\" y2=\\\"717\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"514\\\" y1=\\\"705\\\" x2=\\\"488\\\" y2=\\\"710\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"514\\\" y1=\\\"705\\\" x2=\\\"515\\\" y2=\\\"678\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"514\\\" y1=\\\"705\\\" x2=\\\"520\\\" y2=\\\"730\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"514\\\" y1=\\\"705\\\" x2=\\\"534\\\" y2=\\\"697\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"516\\\" y1=\\\"134\\\" x2=\\\"523\\\" y2=\\\"169\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"516\\\" y1=\\\"134\\\" x2=\\\"483\\\" y2=\\\"132\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"516\\\" y1=\\\"134\\\" x2=\\\"521\\\" y2=\\\"104\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"516\\\" y1=\\\"134\\\" x2=\\\"549\\\" y2=\\\"138\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"516\\\" y1=\\\"134\\\" x2=\\\"497\\\" y2=\\\"157\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"516\\\" y1=\\\"134\\\" x2=\\\"494\\\" y2=\\\"108\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"516\\\" y1=\\\"134\\\" x2=\\\"544\\\" y2=\\\"113\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"516\\\" y1=\\\"134\\\" x2=\\\"541\\\" y2=\\\"158\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"702\\\" y1=\\\"523\\\" x2=\\\"670\\\" y2=\\\"506\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"702\\\" y1=\\\"523\\\" x2=\\\"733\\\" y2=\\\"532\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"702\\\" y1=\\\"523\\\" x2=\\\"677\\\" y2=\\\"531\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"702\\\" y1=\\\"523\\\" x2=\\\"701\\\" y2=\\\"500\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"702\\\" y1=\\\"523\\\" x2=\\\"723\\\" y2=\\\"512\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"702\\\" y1=\\\"523\\\" x2=\\\"718\\\" y2=\\\"550\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"702\\\" y1=\\\"523\\\" x2=\\\"700\\\" y2=\\\"541\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"134\\\" x2=\\\"280\\\" y2=\\\"126\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"134\\\" x2=\\\"290\\\" y2=\\\"157\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"134\\\" x2=\\\"313\\\" y2=\\\"107\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"134\\\" x2=\\\"331\\\" y2=\\\"131\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"134\\\" x2=\\\"312\\\" y2=\\\"155\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"705\\\" x2=\\\"272\\\" y2=\\\"691\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"705\\\" x2=\\\"332\\\" y2=\\\"680\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"705\\\" x2=\\\"338\\\" y2=\\\"719\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"705\\\" x2=\\\"313\\\" y2=\\\"733\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"705\\\" x2=\\\"283\\\" y2=\\\"715\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"705\\\" x2=\\\"307\\\" y2=\\\"680\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"128\\\" y1=\\\"509\\\" x2=\\\"159\\\" y2=\\\"490\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"128\\\" y1=\\\"509\\\" x2=\\\"106\\\" y2=\\\"483\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"128\\\" y1=\\\"509\\\" x2=\\\"112\\\" y2=\\\"532\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"128\\\" y1=\\\"509\\\" x2=\\\"134\\\" y2=\\\"485\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"128\\\" y1=\\\"509\\\" x2=\\\"103\\\" y2=\\\"509\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"128\\\" y1=\\\"509\\\" x2=\\\"131\\\" y2=\\\"528\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"128\\\" y1=\\\"509\\\" x2=\\\"145\\\" y2=\\\"518\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"138\\\" y1=\\\"321\\\" x2=\\\"158\\\" y2=\\\"344\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"138\\\" y1=\\\"321\\\" x2=\\\"126\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"138\\\" y1=\\\"321\\\" x2=\\\"103\\\" y2=\\\"313\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"138\\\" y1=\\\"321\\\" x2=\\\"164\\\" y2=\\\"319\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"138\\\" y1=\\\"321\\\" x2=\\\"129\\\" y2=\\\"345\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"138\\\" y1=\\\"321\\\" x2=\\\"105\\\" y2=\\\"335\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"138\\\" y1=\\\"321\\\" x2=\\\"149\\\" y2=\\\"304\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"707\\\" y1=\\\"315\\\" x2=\\\"738\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"707\\\" y1=\\\"315\\\" x2=\\\"686\\\" y2=\\\"336\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"707\\\" y1=\\\"315\\\" x2=\\\"702\\\" y2=\\\"283\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"707\\\" y1=\\\"315\\\" x2=\\\"732\\\" y2=\\\"320\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"707\\\" y1=\\\"315\\\" x2=\\\"708\\\" y2=\\\"337\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"707\\\" y1=\\\"315\\\" x2=\\\"690\\\" y2=\\\"302\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"598\\\" y1=\\\"381\\\" x2=\\\"562\\\" y2=\\\"384\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"598\\\" y1=\\\"381\\\" x2=\\\"620\\\" y2=\\\"400\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"598\\\" y1=\\\"381\\\" x2=\\\"578\\\" y2=\\\"362\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"598\\\" y1=\\\"381\\\" x2=\\\"591\\\" y2=\\\"406\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"598\\\" y1=\\\"381\\\" x2=\\\"600\\\" y2=\\\"359\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"598\\\" y1=\\\"381\\\" x2=\\\"619\\\" y2=\\\"379\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"598\\\" y1=\\\"381\\\" x2=\\\"609\\\" y2=\\\"369\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"242\\\" y1=\\\"384\\\" x2=\\\"207\\\" y2=\\\"387\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"242\\\" y1=\\\"384\\\" x2=\\\"253\\\" y2=\\\"352\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"242\\\" y1=\\\"384\\\" x2=\\\"267\\\" y2=\\\"376\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"242\\\" y1=\\\"384\\\" x2=\\\"256\\\" y2=\\\"409\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"242\\\" y1=\\\"384\\\" x2=\\\"231\\\" y2=\\\"407\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"242\\\" y1=\\\"384\\\" x2=\\\"233\\\" y2=\\\"361\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"594\\\" y1=\\\"463\\\" x2=\\\"627\\\" y2=\\\"467\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"594\\\" y1=\\\"463\\\" x2=\\\"599\\\" y2=\\\"431\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"594\\\" y1=\\\"463\\\" x2=\\\"572\\\" y2=\\\"480\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"594\\\" y1=\\\"463\\\" x2=\\\"574\\\" y2=\\\"446\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"594\\\" y1=\\\"463\\\" x2=\\\"609\\\" y2=\\\"481\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"594\\\" y1=\\\"463\\\" x2=\\\"618\\\" y2=\\\"445\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"594\\\" y1=\\\"463\\\" x2=\\\"573\\\" y2=\\\"463\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"594\\\" y1=\\\"463\\\" x2=\\\"590\\\" y2=\\\"481\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"382\\\" y1=\\\"243\\\" x2=\\\"384\\\" y2=\\\"280\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"382\\\" y1=\\\"243\\\" x2=\\\"359\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"382\\\" y1=\\\"243\\\" x2=\\\"411\\\" y2=\\\"244\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"382\\\" y1=\\\"243\\\" x2=\\\"360\\\" y2=\\\"260\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"382\\\" y1=\\\"243\\\" x2=\\\"397\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"382\\\" y1=\\\"243\\\" x2=\\\"399\\\" y2=\\\"263\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"382\\\" y1=\\\"243\\\" x2=\\\"366\\\" y2=\\\"242\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"454\\\" y1=\\\"595\\\" x2=\\\"453\\\" y2=\\\"557\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"454\\\" y1=\\\"595\\\" x2=\\\"460\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"454\\\" y1=\\\"595\\\" x2=\\\"483\\\" y2=\\\"584\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"454\\\" y1=\\\"595\\\" x2=\\\"426\\\" y2=\\\"594\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"454\\\" y1=\\\"595\\\" x2=\\\"476\\\" y2=\\\"608\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"454\\\" y1=\\\"595\\\" x2=\\\"441\\\" y2=\\\"576\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"454\\\" y1=\\\"595\\\" x2=\\\"439\\\" y2=\\\"610\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"454\\\" y1=\\\"595\\\" x2=\\\"468\\\" y2=\\\"571\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"231\\\" y1=\\\"465\\\" x2=\\\"242\\\" y2=\\\"433\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"231\\\" y1=\\\"465\\\" x2=\\\"207\\\" y2=\\\"484\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"231\\\" y1=\\\"465\\\" x2=\\\"261\\\" y2=\\\"467\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"231\\\" y1=\\\"465\\\" x2=\\\"209\\\" y2=\\\"449\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"231\\\" y1=\\\"465\\\" x2=\\\"228\\\" y2=\\\"485\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"231\\\" y1=\\\"465\\\" x2=\\\"243\\\" y2=\\\"479\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"461\\\" y1=\\\"248\\\" x2=\\\"437\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"461\\\" y1=\\\"248\\\" x2=\\\"445\\\" y2=\\\"269\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"461\\\" y1=\\\"248\\\" x2=\\\"484\\\" y2=\\\"248\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"461\\\" y1=\\\"248\\\" x2=\\\"455\\\" y2=\\\"228\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"461\\\" y1=\\\"248\\\" x2=\\\"462\\\" y2=\\\"268\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"461\\\" y1=\\\"248\\\" x2=\\\"474\\\" y2=\\\"258\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"461\\\" y1=\\\"248\\\" x2=\\\"470\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"376\\\" y1=\\\"590\\\" x2=\\\"402\\\" y2=\\\"609\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"376\\\" y1=\\\"590\\\" x2=\\\"400\\\" y2=\\\"585\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"376\\\" y1=\\\"590\\\" x2=\\\"379\\\" y2=\\\"613\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"376\\\" y1=\\\"590\\\" x2=\\\"357\\\" y2=\\\"601\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"376\\\" y1=\\\"590\\\" x2=\\\"385\\\" y2=\\\"570\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"376\\\" y1=\\\"590\\\" x2=\\\"362\\\" y2=\\\"581\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"376\\\" y1=\\\"590\\\" x2=\\\"367\\\" y2=\\\"572\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"376\\\" y1=\\\"590\\\" x2=\\\"368\\\" y2=\\\"607\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"395\\\" y1=\\\"744\\\" x2=\\\"365\\\" y2=\\\"736\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"395\\\" y1=\\\"744\\\" x2=\\\"375\\\" y2=\\\"759\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"395\\\" y1=\\\"744\\\" x2=\\\"384\\\" y2=\\\"721\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"395\\\" y1=\\\"744\\\" x2=\\\"405\\\" y2=\\\"766\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"395\\\" y1=\\\"744\\\" x2=\\\"416\\\" y2=\\\"747\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"395\\\" y1=\\\"744\\\" x2=\\\"406\\\" y2=\\\"725\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"395\\\" y1=\\\"96\\\" x2=\\\"427\\\" y2=\\\"99\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"395\\\" y1=\\\"96\\\" x2=\\\"366\\\" y2=\\\"95\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"395\\\" y1=\\\"96\\\" x2=\\\"379\\\" y2=\\\"116\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"395\\\" y1=\\\"96\\\" x2=\\\"409\\\" y2=\\\"117\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"395\\\" y1=\\\"96\\\" x2=\\\"415\\\" y2=\\\"79\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"395\\\" y1=\\\"96\\\" x2=\\\"381\\\" y2=\\\"79\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"95\\\" y1=\\\"387\\\" x2=\\\"107\\\" y2=\\\"357\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"95\\\" y1=\\\"387\\\" x2=\\\"91\\\" y2=\\\"417\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"95\\\" y1=\\\"387\\\" x2=\\\"123\\\" y2=\\\"392\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"95\\\" y1=\\\"387\\\" x2=\\\"80\\\" y2=\\\"363\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"95\\\" y1=\\\"387\\\" x2=\\\"76\\\" y2=\\\"400\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"95\\\" y1=\\\"387\\\" x2=\\\"108\\\" y2=\\\"406\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"142\\\" y1=\\\"585\\\" x2=\\\"155\\\" y2=\\\"611\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"142\\\" y1=\\\"585\\\" x2=\\\"120\\\" y2=\\\"570\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"142\\\" y1=\\\"585\\\" x2=\\\"155\\\" y2=\\\"563\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"142\\\" y1=\\\"585\\\" x2=\\\"166\\\" y2=\\\"585\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"142\\\" y1=\\\"585\\\" x2=\\\"124\\\" y2=\\\"608\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"142\\\" y1=\\\"585\\\" x2=\\\"160\\\" y2=\\\"598\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"145\\\" y1=\\\"246\\\" x2=\\\"121\\\" y2=\\\"264\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"145\\\" y1=\\\"246\\\" x2=\\\"148\\\" y2=\\\"216\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"145\\\" y1=\\\"246\\\" x2=\\\"169\\\" y2=\\\"234\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"145\\\" y1=\\\"246\\\" x2=\\\"121\\\" y2=\\\"240\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"145\\\" y1=\\\"246\\\" x2=\\\"137\\\" y2=\\\"277\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"145\\\" y1=\\\"246\\\" x2=\\\"160\\\" y2=\\\"263\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"145\\\" y1=\\\"246\\\" x2=\\\"164\\\" y2=\\\"248\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"741\\\" y1=\\\"456\\\" x2=\\\"722\\\" y2=\\\"489\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"741\\\" y1=\\\"456\\\" x2=\\\"752\\\" y2=\\\"429\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"741\\\" y1=\\\"456\\\" x2=\\\"748\\\" y2=\\\"483\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"741\\\" y1=\\\"456\\\" x2=\\\"713\\\" y2=\\\"466\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"741\\\" y1=\\\"456\\\" x2=\\\"722\\\" y2=\\\"439\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"741\\\" y1=\\\"456\\\" x2=\\\"761\\\" y2=\\\"449\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"152\\\" x2=\\\"609\\\" y2=\\\"113\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"152\\\" x2=\\\"634\\\" y2=\\\"131\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"152\\\" x2=\\\"580\\\" y2=\\\"145\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"152\\\" x2=\\\"624\\\" y2=\\\"174\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"152\\\" x2=\\\"592\\\" y2=\\\"167\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"152\\\" x2=\\\"634\\\" y2=\\\"154\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"152\\\" x2=\\\"589\\\" y2=\\\"124\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"152\\\" x2=\\\"608\\\" y2=\\\"170\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"687\\\" x2=\\\"609\\\" y2=\\\"713\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"687\\\" x2=\\\"634\\\" y2=\\\"690\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"687\\\" x2=\\\"613\\\" y2=\\\"668\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"687\\\" x2=\\\"597\\\" y2=\\\"693\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"687\\\" x2=\\\"624\\\" y2=\\\"677\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"687\\\" x2=\\\"601\\\" y2=\\\"682\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"682\\\" y1=\\\"221\\\" x2=\\\"701\\\" y2=\\\"242\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"682\\\" y1=\\\"221\\\" x2=\\\"655\\\" y2=\\\"216\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"682\\\" y1=\\\"221\\\" x2=\\\"677\\\" y2=\\\"245\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"682\\\" y1=\\\"221\\\" x2=\\\"701\\\" y2=\\\"206\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"682\\\" y1=\\\"221\\\" x2=\\\"674\\\" y2=\\\"199\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"682\\\" y1=\\\"221\\\" x2=\\\"666\\\" y2=\\\"231\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"692\\\" y1=\\\"597\\\" x2=\\\"714\\\" y2=\\\"581\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"692\\\" y1=\\\"597\\\" x2=\\\"668\\\" y2=\\\"599\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"692\\\" y1=\\\"597\\\" x2=\\\"709\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"692\\\" y1=\\\"597\\\" x2=\\\"681\\\" y2=\\\"574\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"692\\\" y1=\\\"597\\\" x2=\\\"684\\\" y2=\\\"609\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"692\\\" y1=\\\"597\\\" x2=\\\"692\\\" y2=\\\"618\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"692\\\" y1=\\\"597\\\" x2=\\\"675\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"160\\\" x2=\\\"188\\\" y2=\\\"140\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"160\\\" x2=\\\"242\\\" y2=\\\"150\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"160\\\" x2=\\\"185\\\" y2=\\\"166\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"160\\\" x2=\\\"223\\\" y2=\\\"141\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"160\\\" x2=\\\"223\\\" y2=\\\"175\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"160\\\" x2=\\\"204\\\" y2=\\\"175\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"160\\\" x2=\\\"228\\\" y2=\\\"165\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"235\\\" y1=\\\"689\\\" x2=\\\"252\\\" y2=\\\"708\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"235\\\" y1=\\\"689\\\" x2=\\\"228\\\" y2=\\\"707\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"235\\\" y1=\\\"689\\\" x2=\\\"245\\\" y2=\\\"673\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"235\\\" y1=\\\"689\\\" x2=\\\"253\\\" y2=\\\"690\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"235\\\" y1=\\\"689\\\" x2=\\\"223\\\" y2=\\\"694\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"235\\\" y1=\\\"689\\\" x2=\\\"224\\\" y2=\\\"682\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"235\\\" y1=\\\"689\\\" x2=\\\"235\\\" y2=\\\"677\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"746\\\" y1=\\\"375\\\" x2=\\\"729\\\" y2=\\\"346\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"746\\\" y1=\\\"375\\\" x2=\\\"753\\\" y2=\\\"402\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"746\\\" y1=\\\"375\\\" x2=\\\"754\\\" y2=\\\"352\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"746\\\" y1=\\\"375\\\" x2=\\\"722\\\" y2=\\\"372\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"746\\\" y1=\\\"375\\\" x2=\\\"731\\\" y2=\\\"392\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"746\\\" y1=\\\"375\\\" x2=\\\"771\\\" y2=\\\"377\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"177\\\" y1=\\\"645\\\" x2=\\\"171\\\" y2=\\\"669\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"177\\\" y1=\\\"645\\\" x2=\\\"194\\\" y2=\\\"662\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"177\\\" y1=\\\"645\\\" x2=\\\"154\\\" y2=\\\"641\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"177\\\" y1=\\\"645\\\" x2=\\\"174\\\" y2=\\\"623\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"177\\\" y1=\\\"645\\\" x2=\\\"199\\\" y2=\\\"640\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"177\\\" y1=\\\"645\\\" x2=\\\"186\\\" y2=\\\"632\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"339\\\" y1=\\\"646\\\" x2=\\\"358\\\" y2=\\\"670\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"339\\\" y1=\\\"646\\\" x2=\\\"315\\\" y2=\\\"650\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"339\\\" y1=\\\"646\\\" x2=\\\"363\\\" y2=\\\"646\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"339\\\" y1=\\\"646\\\" x2=\\\"337\\\" y2=\\\"624\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"339\\\" y1=\\\"646\\\" x2=\\\"335\\\" y2=\\\"663\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"339\\\" y1=\\\"646\\\" x2=\\\"349\\\" y2=\\\"634\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"339\\\" y1=\\\"646\\\" x2=\\\"326\\\" y2=\\\"637\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"355\\\" y1=\\\"181\\\" x2=\\\"387\\\" y2=\\\"204\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"355\\\" y1=\\\"181\\\" x2=\\\"334\\\" y2=\\\"155\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"355\\\" y1=\\\"181\\\" x2=\\\"388\\\" y2=\\\"171\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"355\\\" y1=\\\"181\\\" x2=\\\"365\\\" y2=\\\"150\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"355\\\" y1=\\\"181\\\" x2=\\\"343\\\" y2=\\\"202\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"355\\\" y1=\\\"181\\\" x2=\\\"332\\\" y2=\\\"182\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"355\\\" y1=\\\"181\\\" x2=\\\"357\\\" y2=\\\"201\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"647\\\" y1=\\\"338\\\" x2=\\\"668\\\" y2=\\\"362\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"647\\\" y1=\\\"338\\\" x2=\\\"645\\\" y2=\\\"360\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"647\\\" y1=\\\"338\\\" x2=\\\"659\\\" y2=\\\"324\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"647\\\" y1=\\\"338\\\" x2=\\\"634\\\" y2=\\\"348\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"647\\\" y1=\\\"338\\\" x2=\\\"634\\\" y2=\\\"329\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"647\\\" y1=\\\"338\\\" x2=\\\"666\\\" y2=\\\"337\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"647\\\" y1=\\\"338\\\" x2=\\\"646\\\" y2=\\\"327\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"455\\\" y1=\\\"115\\\" x2=\\\"427\\\" y2=\\\"134\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"455\\\" y1=\\\"115\\\" x2=\\\"483\\\" y2=\\\"132\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"455\\\" y1=\\\"115\\\" x2=\\\"427\\\" y2=\\\"99\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"455\\\" y1=\\\"115\\\" x2=\\\"470\\\" y2=\\\"88\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"455\\\" y1=\\\"115\\\" x2=\\\"494\\\" y2=\\\"108\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"455\\\" y1=\\\"115\\\" x2=\\\"452\\\" y2=\\\"141\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"455\\\" y1=\\\"115\\\" x2=\\\"448\\\" y2=\\\"94\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"87\\\" y1=\\\"455\\\" x2=\\\"51\\\" y2=\\\"456\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"87\\\" y1=\\\"455\\\" x2=\\\"106\\\" y2=\\\"483\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"87\\\" y1=\\\"455\\\" x2=\\\"71\\\" y2=\\\"477\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"87\\\" y1=\\\"455\\\" x2=\\\"112\\\" y2=\\\"459\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"87\\\" y1=\\\"455\\\" x2=\\\"105\\\" y2=\\\"437\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"87\\\" y1=\\\"455\\\" x2=\\\"68\\\" y2=\\\"440\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"501\\\" y1=\\\"197\\\" x2=\\\"486\\\" y2=\\\"178\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"501\\\" y1=\\\"197\\\" x2=\\\"480\\\" y2=\\\"198\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"501\\\" y1=\\\"197\\\" x2=\\\"512\\\" y2=\\\"183\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"501\\\" y1=\\\"197\\\" x2=\\\"518\\\" y2=\\\"199\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"501\\\" y1=\\\"197\\\" x2=\\\"490\\\" y2=\\\"213\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"501\\\" y1=\\\"197\\\" x2=\\\"506\\\" y2=\\\"208\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"501\\\" y1=\\\"197\\\" x2=\\\"505\\\" y2=\\\"174\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"463\\\" y1=\\\"750\\\" x2=\\\"495\\\" y2=\\\"735\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"463\\\" y1=\\\"750\\\" x2=\\\"436\\\" y2=\\\"753\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"463\\\" y1=\\\"750\\\" x2=\\\"457\\\" y2=\\\"725\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"463\\\" y1=\\\"750\\\" x2=\\\"487\\\" y2=\\\"759\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"463\\\" y1=\\\"750\\\" x2=\\\"451\\\" y2=\\\"767\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"480\\\" y1=\\\"652\\\" x2=\\\"506\\\" y2=\\\"638\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"480\\\" y1=\\\"652\\\" x2=\\\"482\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"480\\\" y1=\\\"652\\\" x2=\\\"501\\\" y2=\\\"660\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"480\\\" y1=\\\"652\\\" x2=\\\"456\\\" y2=\\\"648\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"480\\\" y1=\\\"652\\\" x2=\\\"472\\\" y2=\\\"672\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"660\\\" y1=\\\"470\\\" x2=\\\"664\\\" y2=\\\"436\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"660\\\" y1=\\\"470\\\" x2=\\\"627\\\" y2=\\\"467\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"660\\\" y1=\\\"470\\\" x2=\\\"691\\\" y2=\\\"479\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"660\\\" y1=\\\"470\\\" x2=\\\"646\\\" y2=\\\"451\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"660\\\" y1=\\\"470\\\" x2=\\\"642\\\" y2=\\\"485\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"660\\\" y1=\\\"470\\\" x2=\\\"680\\\" y2=\\\"460\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"660\\\" y1=\\\"470\\\" x2=\\\"665\\\" y2=\\\"488\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"184\\\" y1=\\\"361\\\" x2=\\\"158\\\" y2=\\\"344\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"184\\\" y1=\\\"361\\\" x2=\\\"198\\\" y2=\\\"336\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"184\\\" y1=\\\"361\\\" x2=\\\"211\\\" y2=\\\"361\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"184\\\" y1=\\\"361\\\" x2=\\\"159\\\" y2=\\\"366\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"184\\\" y1=\\\"361\\\" x2=\\\"185\\\" y2=\\\"382\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"184\\\" y1=\\\"361\\\" x2=\\\"177\\\" y2=\\\"335\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"653\\\" y1=\\\"643\\\" x2=\\\"664\\\" y2=\\\"665\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"653\\\" y1=\\\"643\\\" x2=\\\"675\\\" y2=\\\"644\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"653\\\" y1=\\\"643\\\" x2=\\\"634\\\" y2=\\\"646\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"653\\\" y1=\\\"643\\\" x2=\\\"647\\\" y2=\\\"626\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"653\\\" y1=\\\"643\\\" x2=\\\"664\\\" y2=\\\"632\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"653\\\" y1=\\\"643\\\" x2=\\\"645\\\" y2=\\\"655\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"653\\\" y1=\\\"643\\\" x2=\\\"638\\\" y2=\\\"634\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"509\\\" x2=\\\"159\\\" y2=\\\"490\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"509\\\" x2=\\\"184\\\" y2=\\\"486\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"509\\\" x2=\\\"175\\\" y2=\\\"518\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"509\\\" x2=\\\"198\\\" y2=\\\"523\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"509\\\" x2=\\\"198\\\" y2=\\\"497\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"509\\\" x2=\\\"187\\\" y2=\\\"521\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"509\\\" x2=\\\"199\\\" y2=\\\"507\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"509\\\" x2=\\\"160\\\" y2=\\\"508\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"727\\\" x2=\\\"559\\\" y2=\\\"759\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"727\\\" x2=\\\"541\\\" y2=\\\"717\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"727\\\" x2=\\\"581\\\" y2=\\\"749\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"727\\\" x2=\\\"549\\\" y2=\\\"739\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"727\\\" x2=\\\"589\\\" y2=\\\"720\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"727\\\" x2=\\\"564\\\" y2=\\\"707\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"363\\\" y1=\\\"697\\\" x2=\\\"401\\\" y2=\\\"703\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"363\\\" y1=\\\"697\\\" x2=\\\"332\\\" y2=\\\"680\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"363\\\" y1=\\\"697\\\" x2=\\\"385\\\" y2=\\\"671\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"363\\\" y1=\\\"697\\\" x2=\\\"338\\\" y2=\\\"719\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"363\\\" y1=\\\"697\\\" x2=\\\"365\\\" y2=\\\"736\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"363\\\" y1=\\\"697\\\" x2=\\\"358\\\" y2=\\\"670\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"363\\\" y1=\\\"697\\\" x2=\\\"384\\\" y2=\\\"721\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"570\\\" y1=\\\"112\\\" x2=\\\"574\\\" y2=\\\"80\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"570\\\" y1=\\\"112\\\" x2=\\\"549\\\" y2=\\\"138\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"570\\\" y1=\\\"112\\\" x2=\\\"580\\\" y2=\\\"145\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"570\\\" y1=\\\"112\\\" x2=\\\"598\\\" y2=\\\"89\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"570\\\" y1=\\\"112\\\" x2=\\\"544\\\" y2=\\\"113\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"570\\\" y1=\\\"112\\\" x2=\\\"589\\\" y2=\\\"124\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"570\\\" y1=\\\"112\\\" x2=\\\"558\\\" y2=\\\"94\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"164\\\" y1=\\\"191\\\" x2=\\\"133\\\" y2=\\\"179\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"164\\\" y1=\\\"191\\\" x2=\\\"175\\\" y2=\\\"211\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"164\\\" y1=\\\"191\\\" x2=\\\"162\\\" y2=\\\"173\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"164\\\" y1=\\\"191\\\" x2=\\\"180\\\" y2=\\\"190\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"164\\\" y1=\\\"191\\\" x2=\\\"156\\\" y2=\\\"204\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"164\\\" y1=\\\"191\\\" x2=\\\"174\\\" y2=\\\"178\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"164\\\" y1=\\\"191\\\" x2=\\\"147\\\" y2=\\\"167\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"164\\\" y1=\\\"191\\\" x2=\\\"140\\\" y2=\\\"198\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"98\\\" y1=\\\"284\\\" x2=\\\"97\\\" y2=\\\"246\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"98\\\" y1=\\\"284\\\" x2=\\\"121\\\" y2=\\\"264\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"98\\\" y1=\\\"284\\\" x2=\\\"126\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"98\\\" y1=\\\"284\\\" x2=\\\"103\\\" y2=\\\"313\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"98\\\" y1=\\\"284\\\" x2=\\\"70\\\" y2=\\\"283\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"98\\\" y1=\\\"284\\\" x2=\\\"78\\\" y2=\\\"261\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"98\\\" y1=\\\"284\\\" x2=\\\"84\\\" y2=\\\"302\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"500\\\" y1=\\\"82\\\" x2=\\\"472\\\" y2=\\\"58\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"500\\\" y1=\\\"82\\\" x2=\\\"470\\\" y2=\\\"88\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"500\\\" y1=\\\"82\\\" x2=\\\"521\\\" y2=\\\"104\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"500\\\" y1=\\\"82\\\" x2=\\\"501\\\" y2=\\\"52\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"500\\\" y1=\\\"82\\\" x2=\\\"494\\\" y2=\\\"108\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"500\\\" y1=\\\"82\\\" x2=\\\"520\\\" y2=\\\"68\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"723\\\" y1=\\\"260\\\" x2=\\\"738\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"723\\\" y1=\\\"260\\\" x2=\\\"721\\\" y2=\\\"221\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"723\\\" y1=\\\"260\\\" x2=\\\"755\\\" y2=\\\"266\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"723\\\" y1=\\\"260\\\" x2=\\\"702\\\" y2=\\\"283\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"723\\\" y1=\\\"260\\\" x2=\\\"701\\\" y2=\\\"242\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"723\\\" y1=\\\"260\\\" x2=\\\"744\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"723\\\" y1=\\\"260\\\" x2=\\\"692\\\" y2=\\\"263\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"252\\\" y1=\\\"119\\\" x2=\\\"214\\\" y2=\\\"121\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"252\\\" y1=\\\"119\\\" x2=\\\"249\\\" y2=\\\"87\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"252\\\" y1=\\\"119\\\" x2=\\\"280\\\" y2=\\\"126\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"252\\\" y1=\\\"119\\\" x2=\\\"242\\\" y2=\\\"150\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"252\\\" y1=\\\"119\\\" x2=\\\"225\\\" y2=\\\"98\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"252\\\" y1=\\\"119\\\" x2=\\\"267\\\" y2=\\\"148\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"252\\\" y1=\\\"119\\\" x2=\\\"269\\\" y2=\\\"109\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"252\\\" y1=\\\"119\\\" x2=\\\"223\\\" y2=\\\"141\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"265\\\" y1=\\\"172\\\" x2=\\\"267\\\" y2=\\\"148\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"265\\\" y1=\\\"172\\\" x2=\\\"262\\\" y2=\\\"188\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"265\\\" y1=\\\"172\\\" x2=\\\"254\\\" y2=\\\"161\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"265\\\" y1=\\\"172\\\" x2=\\\"278\\\" y2=\\\"165\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"265\\\" y1=\\\"172\\\" x2=\\\"276\\\" y2=\\\"185\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"265\\\" y1=\\\"172\\\" x2=\\\"255\\\" y2=\\\"172\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"265\\\" y1=\\\"172\\\" x2=\\\"252\\\" y2=\\\"187\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"339\\\" y1=\\\"753\\\" x2=\\\"353\\\" y2=\\\"784\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"339\\\" y1=\\\"753\\\" x2=\\\"320\\\" y2=\\\"779\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"339\\\" y1=\\\"753\\\" x2=\\\"338\\\" y2=\\\"719\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"339\\\" y1=\\\"753\\\" x2=\\\"365\\\" y2=\\\"736\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"339\\\" y1=\\\"753\\\" x2=\\\"313\\\" y2=\\\"733\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"339\\\" y1=\\\"753\\\" x2=\\\"375\\\" y2=\\\"759\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"339\\\" y1=\\\"753\\\" x2=\\\"317\\\" y2=\\\"754\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"325\\\" y1=\\\"83\\\" x2=\\\"313\\\" y2=\\\"107\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"325\\\" y1=\\\"83\\\" x2=\\\"337\\\" y2=\\\"57\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"325\\\" y1=\\\"83\\\" x2=\\\"308\\\" y2=\\\"62\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"325\\\" y1=\\\"83\\\" x2=\\\"337\\\" y2=\\\"104\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"325\\\" y1=\\\"83\\\" x2=\\\"346\\\" y2=\\\"77\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"325\\\" y1=\\\"83\\\" x2=\\\"303\\\" y2=\\\"83\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"347\\\" y1=\\\"285\\\" x2=\\\"368\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"347\\\" y1=\\\"285\\\" x2=\\\"365\\\" y2=\\\"282\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"347\\\" y1=\\\"285\\\" x2=\\\"340\\\" y2=\\\"269\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"347\\\" y1=\\\"285\\\" x2=\\\"348\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"347\\\" y1=\\\"285\\\" x2=\\\"354\\\" y2=\\\"272\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"347\\\" y1=\\\"285\\\" x2=\\\"338\\\" y2=\\\"291\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"347\\\" y1=\\\"285\\\" x2=\\\"333\\\" y2=\\\"277\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"491\\\" y1=\\\"555\\\" x2=\\\"453\\\" y2=\\\"557\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"491\\\" y1=\\\"555\\\" x2=\\\"481\\\" y2=\\\"528\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"491\\\" y1=\\\"555\\\" x2=\\\"459\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"491\\\" y1=\\\"555\\\" x2=\\\"500\\\" y2=\\\"539\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"491\\\" y1=\\\"555\\\" x2=\\\"507\\\" y2=\\\"553\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"491\\\" y1=\\\"555\\\" x2=\\\"487\\\" y2=\\\"569\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"491\\\" y1=\\\"555\\\" x2=\\\"501\\\" y2=\\\"569\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"491\\\" y1=\\\"555\\\" x2=\\\"468\\\" y2=\\\"571\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"501\\\" y1=\\\"297\\\" x2=\\\"496\\\" y2=\\\"323\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"501\\\" y1=\\\"297\\\" x2=\\\"479\\\" y2=\\\"306\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"501\\\" y1=\\\"297\\\" x2=\\\"512\\\" y2=\\\"313\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"501\\\" y1=\\\"297\\\" x2=\\\"494\\\" y2=\\\"282\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"501\\\" y1=\\\"297\\\" x2=\\\"516\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"501\\\" y1=\\\"297\\\" x2=\\\"508\\\" y2=\\\"285\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"501\\\" y1=\\\"297\\\" x2=\\\"483\\\" y2=\\\"287\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"337\\\" y1=\\\"542\\\" x2=\\\"360\\\" y2=\\\"529\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"337\\\" y1=\\\"542\\\" x2=\\\"356\\\" y2=\\\"547\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"337\\\" y1=\\\"542\\\" x2=\\\"322\\\" y2=\\\"530\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"337\\\" y1=\\\"542\\\" x2=\\\"343\\\" y2=\\\"558\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"337\\\" y1=\\\"542\\\" x2=\\\"323\\\" y2=\\\"547\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"337\\\" y1=\\\"542\\\" x2=\\\"336\\\" y2=\\\"529\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"337\\\" y1=\\\"542\\\" x2=\\\"331\\\" y2=\\\"561\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"337\\\" y1=\\\"542\\\" x2=\\\"347\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"652\\\" y1=\\\"538\\\" x2=\\\"661\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"652\\\" y1=\\\"538\\\" x2=\\\"638\\\" y2=\\\"534\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"652\\\" y1=\\\"538\\\" x2=\\\"645\\\" y2=\\\"549\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"652\\\" y1=\\\"538\\\" x2=\\\"664\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"652\\\" y1=\\\"538\\\" x2=\\\"661\\\" y2=\\\"546\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"652\\\" y1=\\\"538\\\" x2=\\\"648\\\" y2=\\\"526\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"309\\\" x2=\\\"164\\\" y2=\\\"319\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"309\\\" x2=\\\"199\\\" y2=\\\"298\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"309\\\" x2=\\\"204\\\" y2=\\\"311\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"309\\\" x2=\\\"193\\\" y2=\\\"323\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"309\\\" x2=\\\"186\\\" y2=\\\"296\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"309\\\" x2=\\\"183\\\" y2=\\\"322\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"309\\\" x2=\\\"173\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"632\\\" y1=\\\"426\\\" x2=\\\"664\\\" y2=\\\"436\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"632\\\" y1=\\\"426\\\" x2=\\\"599\\\" y2=\\\"431\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"632\\\" y1=\\\"426\\\" x2=\\\"620\\\" y2=\\\"400\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"632\\\" y1=\\\"426\\\" x2=\\\"653\\\" y2=\\\"408\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"632\\\" y1=\\\"426\\\" x2=\\\"646\\\" y2=\\\"451\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"632\\\" y1=\\\"426\\\" x2=\\\"618\\\" y2=\\\"445\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"671\\\" y1=\\\"274\\\" x2=\\\"702\\\" y2=\\\"283\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"671\\\" y1=\\\"274\\\" x2=\\\"692\\\" y2=\\\"263\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"671\\\" y1=\\\"274\\\" x2=\\\"690\\\" y2=\\\"302\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"671\\\" y1=\\\"274\\\" x2=\\\"655\\\" y2=\\\"284\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"671\\\" y1=\\\"274\\\" x2=\\\"662\\\" y2=\\\"258\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"671\\\" y1=\\\"274\\\" x2=\\\"671\\\" y2=\\\"292\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"671\\\" y1=\\\"274\\\" x2=\\\"658\\\" y2=\\\"271\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"671\\\" y1=\\\"274\\\" x2=\\\"674\\\" y2=\\\"259\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"83\\\" y1=\\\"335\\\" x2=\\\"62\\\" y2=\\\"310\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"83\\\" y1=\\\"335\\\" x2=\\\"107\\\" y2=\\\"357\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"83\\\" y1=\\\"335\\\" x2=\\\"53\\\" y2=\\\"347\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"83\\\" y1=\\\"335\\\" x2=\\\"103\\\" y2=\\\"313\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"83\\\" y1=\\\"335\\\" x2=\\\"80\\\" y2=\\\"363\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"83\\\" y1=\\\"335\\\" x2=\\\"105\\\" y2=\\\"335\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"83\\\" y1=\\\"335\\\" x2=\\\"84\\\" y2=\\\"302\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"97\\\" y1=\\\"555\\\" x2=\\\"70\\\" y2=\\\"536\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"97\\\" y1=\\\"555\\\" x2=\\\"112\\\" y2=\\\"532\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"97\\\" y1=\\\"555\\\" x2=\\\"120\\\" y2=\\\"570\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"97\\\" y1=\\\"555\\\" x2=\\\"70\\\" y2=\\\"567\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"97\\\" y1=\\\"555\\\" x2=\\\"90\\\" y2=\\\"527\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"97\\\" y1=\\\"555\\\" x2=\\\"98\\\" y2=\\\"576\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"755\\\" y1=\\\"509\\\" x2=\\\"722\\\" y2=\\\"489\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"755\\\" y1=\\\"509\\\" x2=\\\"773\\\" y2=\\\"475\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"755\\\" y1=\\\"509\\\" x2=\\\"766\\\" y2=\\\"546\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"755\\\" y1=\\\"509\\\" x2=\\\"733\\\" y2=\\\"532\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"755\\\" y1=\\\"509\\\" x2=\\\"783\\\" y2=\\\"502\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"755\\\" y1=\\\"509\\\" x2=\\\"748\\\" y2=\\\"483\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"755\\\" y1=\\\"509\\\" x2=\\\"780\\\" y2=\\\"526\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"755\\\" y1=\\\"509\\\" x2=\\\"723\\\" y2=\\\"512\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"656\\\" x2=\\\"515\\\" y2=\\\"678\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"656\\\" x2=\\\"501\\\" y2=\\\"660\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"656\\\" x2=\\\"518\\\" y2=\\\"647\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"656\\\" x2=\\\"542\\\" y2=\\\"649\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"656\\\" x2=\\\"542\\\" y2=\\\"661\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"656\\\" x2=\\\"530\\\" y2=\\\"644\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"656\\\" x2=\\\"534\\\" y2=\\\"672\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"526\\\" y1=\\\"754\\\" x2=\\\"502\\\" y2=\\\"781\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"526\\\" y1=\\\"754\\\" x2=\\\"495\\\" y2=\\\"735\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"526\\\" y1=\\\"754\\\" x2=\\\"559\\\" y2=\\\"759\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"526\\\" y1=\\\"754\\\" x2=\\\"527\\\" y2=\\\"780\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"526\\\" y1=\\\"754\\\" x2=\\\"520\\\" y2=\\\"730\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"526\\\" y1=\\\"754\\\" x2=\\\"487\\\" y2=\\\"759\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"526\\\" y1=\\\"754\\\" x2=\\\"549\\\" y2=\\\"739\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"526\\\" y1=\\\"754\\\" x2=\\\"548\\\" y2=\\\"778\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"735\\\" y1=\\\"565\\\" x2=\\\"731\\\" y2=\\\"604\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"735\\\" y1=\\\"565\\\" x2=\\\"766\\\" y2=\\\"546\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"735\\\" y1=\\\"565\\\" x2=\\\"733\\\" y2=\\\"532\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"735\\\" y1=\\\"565\\\" x2=\\\"755\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"735\\\" y1=\\\"565\\\" x2=\\\"714\\\" y2=\\\"581\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"735\\\" y1=\\\"565\\\" x2=\\\"718\\\" y2=\\\"550\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"735\\\" y1=\\\"565\\\" x2=\\\"757\\\" y2=\\\"565\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"169\\\" x2=\\\"549\\\" y2=\\\"138\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"169\\\" x2=\\\"580\\\" y2=\\\"145\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"169\\\" x2=\\\"541\\\" y2=\\\"158\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"169\\\" x2=\\\"541\\\" y2=\\\"169\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"169\\\" x2=\\\"547\\\" y2=\\\"185\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"169\\\" x2=\\\"575\\\" y2=\\\"168\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"169\\\" x2=\\\"558\\\" y2=\\\"186\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"169\\\" x2=\\\"564\\\" y2=\\\"178\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"461\\\" y1=\\\"700\\\" x2=\\\"489\\\" y2=\\\"684\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"461\\\" y1=\\\"700\\\" x2=\\\"452\\\" y2=\\\"668\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"461\\\" y1=\\\"700\\\" x2=\\\"429\\\" y2=\\\"697\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"461\\\" y1=\\\"700\\\" x2=\\\"488\\\" y2=\\\"710\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"461\\\" y1=\\\"700\\\" x2=\\\"457\\\" y2=\\\"725\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"461\\\" y1=\\\"700\\\" x2=\\\"472\\\" y2=\\\"672\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"349\\\" x2=\\\"298\\\" y2=\\\"374\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"349\\\" x2=\\\"271\\\" y2=\\\"336\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"349\\\" x2=\\\"299\\\" y2=\\\"349\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"349\\\" x2=\\\"268\\\" y2=\\\"350\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"349\\\" x2=\\\"285\\\" y2=\\\"335\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"349\\\" x2=\\\"275\\\" y2=\\\"362\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"349\\\" x2=\\\"293\\\" y2=\\\"341\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"281\\\" y1=\\\"490\\\" x2=\\\"296\\\" y2=\\\"463\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"281\\\" y1=\\\"490\\\" x2=\\\"294\\\" y2=\\\"504\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"281\\\" y1=\\\"490\\\" x2=\\\"299\\\" y2=\\\"489\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"281\\\" y1=\\\"490\\\" x2=\\\"271\\\" y2=\\\"478\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"281\\\" y1=\\\"490\\\" x2=\\\"268\\\" y2=\\\"491\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"281\\\" y1=\\\"490\\\" x2=\\\"282\\\" y2=\\\"502\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"281\\\" y1=\\\"490\\\" x2=\\\"279\\\" y2=\\\"465\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"281\\\" y1=\\\"490\\\" x2=\\\"269\\\" y2=\\\"504\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"555\\\" y1=\\\"348\\\" x2=\\\"558\\\" y2=\\\"366\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"555\\\" y1=\\\"348\\\" x2=\\\"563\\\" y2=\\\"335\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"555\\\" y1=\\\"348\\\" x2=\\\"541\\\" y2=\\\"353\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"555\\\" y1=\\\"348\\\" x2=\\\"567\\\" y2=\\\"355\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"555\\\" y1=\\\"348\\\" x2=\\\"551\\\" y2=\\\"337\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"555\\\" y1=\\\"348\\\" x2=\\\"548\\\" y2=\\\"361\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"555\\\" y1=\\\"348\\\" x2=\\\"565\\\" y2=\\\"345\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"555\\\" y1=\\\"348\\\" x2=\\\"537\\\" y2=\\\"341\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"539\\\" y1=\\\"500\\\" x2=\\\"514\\\" y2=\\\"498\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"539\\\" y1=\\\"500\\\" x2=\\\"524\\\" y2=\\\"511\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"539\\\" y1=\\\"500\\\" x2=\\\"538\\\" y2=\\\"514\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"539\\\" y1=\\\"500\\\" x2=\\\"535\\\" y2=\\\"487\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"539\\\" y1=\\\"500\\\" x2=\\\"549\\\" y2=\\\"507\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"539\\\" y1=\\\"500\\\" x2=\\\"545\\\" y2=\\\"491\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"539\\\" y1=\\\"500\\\" x2=\\\"523\\\" y2=\\\"486\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"539\\\" y1=\\\"500\\\" x2=\\\"555\\\" y2=\\\"498\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"275\\\" y1=\\\"441\\\" x2=\\\"242\\\" y2=\\\"433\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"275\\\" y1=\\\"441\\\" x2=\\\"261\\\" y2=\\\"467\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"275\\\" y1=\\\"441\\\" x2=\\\"296\\\" y2=\\\"463\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"275\\\" y1=\\\"441\\\" x2=\\\"256\\\" y2=\\\"409\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"275\\\" y1=\\\"441\\\" x2=\\\"293\\\" y2=\\\"422\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"275\\\" y1=\\\"441\\\" x2=\\\"302\\\" y2=\\\"442\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"275\\\" y1=\\\"441\\\" x2=\\\"279\\\" y2=\\\"465\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"639\\\" y1=\\\"194\\\" x2=\\\"661\\\" y2=\\\"179\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"639\\\" y1=\\\"194\\\" x2=\\\"634\\\" y2=\\\"208\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"639\\\" y1=\\\"194\\\" x2=\\\"647\\\" y2=\\\"205\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"639\\\" y1=\\\"194\\\" x2=\\\"631\\\" y2=\\\"184\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"639\\\" y1=\\\"194\\\" x2=\\\"657\\\" y2=\\\"196\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"639\\\" y1=\\\"194\\\" x2=\\\"626\\\" y2=\\\"201\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"639\\\" y1=\\\"194\\\" x2=\\\"642\\\" y2=\\\"177\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"263\\\" y1=\\\"733\\\" x2=\\\"239\\\" y2=\\\"747\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"263\\\" y1=\\\"733\\\" x2=\\\"269\\\" y2=\\\"760\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"263\\\" y1=\\\"733\\\" x2=\\\"283\\\" y2=\\\"715\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"263\\\" y1=\\\"733\\\" x2=\\\"252\\\" y2=\\\"708\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"263\\\" y1=\\\"733\\\" x2=\\\"285\\\" y2=\\\"738\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"263\\\" y1=\\\"733\\\" x2=\\\"243\\\" y2=\\\"727\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"136\\\" y1=\\\"461\\\" x2=\\\"159\\\" y2=\\\"490\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"136\\\" y1=\\\"461\\\" x2=\\\"134\\\" y2=\\\"485\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"136\\\" y1=\\\"461\\\" x2=\\\"112\\\" y2=\\\"459\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"136\\\" y1=\\\"461\\\" x2=\\\"143\\\" y2=\\\"435\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"136\\\" y1=\\\"461\\\" x2=\\\"161\\\" y2=\\\"454\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"79\\\" y1=\\\"504\\\" x2=\\\"106\\\" y2=\\\"483\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"79\\\" y1=\\\"504\\\" x2=\\\"50\\\" y2=\\\"494\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"79\\\" y1=\\\"504\\\" x2=\\\"71\\\" y2=\\\"477\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"79\\\" y1=\\\"504\\\" x2=\\\"103\\\" y2=\\\"509\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"79\\\" y1=\\\"504\\\" x2=\\\"59\\\" y2=\\\"516\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"79\\\" y1=\\\"504\\\" x2=\\\"90\\\" y2=\\\"527\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"327\\\" y1=\\\"220\\\" x2=\\\"330\\\" y2=\\\"237\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"327\\\" y1=\\\"220\\\" x2=\\\"343\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"327\\\" y1=\\\"220\\\" x2=\\\"315\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"327\\\" y1=\\\"220\\\" x2=\\\"335\\\" y2=\\\"211\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"327\\\" y1=\\\"220\\\" x2=\\\"320\\\" y2=\\\"230\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"327\\\" y1=\\\"220\\\" x2=\\\"322\\\" y2=\\\"210\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"327\\\" y1=\\\"220\\\" x2=\\\"339\\\" y2=\\\"230\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"354\\\" y1=\\\"122\\\" x2=\\\"365\\\" y2=\\\"150\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"354\\\" y1=\\\"122\\\" x2=\\\"366\\\" y2=\\\"95\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"354\\\" y1=\\\"122\\\" x2=\\\"379\\\" y2=\\\"116\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"354\\\" y1=\\\"122\\\" x2=\\\"337\\\" y2=\\\"104\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"354\\\" y1=\\\"122\\\" x2=\\\"331\\\" y2=\\\"131\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"757\\\" y1=\\\"326\\\" x2=\\\"778\\\" y2=\\\"356\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"757\\\" y1=\\\"326\\\" x2=\\\"738\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"757\\\" y1=\\\"326\\\" x2=\\\"729\\\" y2=\\\"346\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"757\\\" y1=\\\"326\\\" x2=\\\"770\\\" y2=\\\"296\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"757\\\" y1=\\\"326\\\" x2=\\\"785\\\" y2=\\\"329\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"757\\\" y1=\\\"326\\\" x2=\\\"732\\\" y2=\\\"320\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"757\\\" y1=\\\"326\\\" x2=\\\"754\\\" y2=\\\"352\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"700\\\" y1=\\\"362\\\" x2=\\\"729\\\" y2=\\\"346\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"700\\\" y1=\\\"362\\\" x2=\\\"668\\\" y2=\\\"362\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"700\\\" y1=\\\"362\\\" x2=\\\"686\\\" y2=\\\"336\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"700\\\" y1=\\\"362\\\" x2=\\\"707\\\" y2=\\\"391\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"700\\\" y1=\\\"362\\\" x2=\\\"684\\\" y2=\\\"382\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"700\\\" y1=\\\"362\\\" x2=\\\"722\\\" y2=\\\"372\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"700\\\" y1=\\\"362\\\" x2=\\\"708\\\" y2=\\\"337\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"660\\\" x2=\\\"307\\\" y2=\\\"680\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"660\\\" x2=\\\"275\\\" y2=\\\"658\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"660\\\" x2=\\\"283\\\" y2=\\\"675\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"660\\\" x2=\\\"302\\\" y2=\\\"643\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"660\\\" x2=\\\"285\\\" y2=\\\"650\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"660\\\" x2=\\\"304\\\" y2=\\\"655\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"660\\\" x2=\\\"293\\\" y2=\\\"633\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"660\\\" x2=\\\"311\\\" y2=\\\"665\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"623\\\" y1=\\\"500\\\" x2=\\\"642\\\" y2=\\\"485\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"623\\\" y1=\\\"500\\\" x2=\\\"624\\\" y2=\\\"515\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"623\\\" y1=\\\"500\\\" x2=\\\"614\\\" y2=\\\"507\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"623\\\" y1=\\\"500\\\" x2=\\\"634\\\" y2=\\\"507\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"623\\\" y1=\\\"500\\\" x2=\\\"616\\\" y2=\\\"491\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"623\\\" y1=\\\"500\\\" x2=\\\"606\\\" y2=\\\"498\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"623\\\" y1=\\\"500\\\" x2=\\\"643\\\" y2=\\\"500\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"623\\\" y1=\\\"500\\\" x2=\\\"625\\\" y2=\\\"483\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"437\\\" y1=\\\"69\\\" x2=\\\"472\\\" y2=\\\"58\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"437\\\" y1=\\\"69\\\" x2=\\\"427\\\" y2=\\\"99\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"437\\\" y1=\\\"69\\\" x2=\\\"470\\\" y2=\\\"88\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"437\\\" y1=\\\"69\\\" x2=\\\"425\\\" y2=\\\"43\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"437\\\" y1=\\\"69\\\" x2=\\\"449\\\" y2=\\\"47\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"437\\\" y1=\\\"69\\\" x2=\\\"415\\\" y2=\\\"79\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"437\\\" y1=\\\"69\\\" x2=\\\"448\\\" y2=\\\"94\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"469\\\" y1=\\\"161\\\" x2=\\\"483\\\" y2=\\\"132\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"469\\\" y1=\\\"161\\\" x2=\\\"497\\\" y2=\\\"157\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"469\\\" y1=\\\"161\\\" x2=\\\"452\\\" y2=\\\"141\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"469\\\" y1=\\\"161\\\" x2=\\\"486\\\" y2=\\\"178\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"469\\\" y1=\\\"161\\\" x2=\\\"446\\\" y2=\\\"169\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"469\\\" y1=\\\"161\\\" x2=\\\"459\\\" y2=\\\"186\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"500\\\" y1=\\\"609\\\" x2=\\\"476\\\" y2=\\\"608\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"500\\\" y1=\\\"609\\\" x2=\\\"482\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"500\\\" y1=\\\"609\\\" x2=\\\"515\\\" y2=\\\"608\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"500\\\" y1=\\\"609\\\" x2=\\\"503\\\" y2=\\\"623\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"500\\\" y1=\\\"609\\\" x2=\\\"492\\\" y2=\\\"596\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"500\\\" y1=\\\"609\\\" x2=\\\"506\\\" y2=\\\"595\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"500\\\" y1=\\\"609\\\" x2=\\\"515\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"138\\\" y1=\\\"368\\\" x2=\\\"107\\\" y2=\\\"357\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"138\\\" y1=\\\"368\\\" x2=\\\"158\\\" y2=\\\"344\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"138\\\" y1=\\\"368\\\" x2=\\\"164\\\" y2=\\\"387\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"138\\\" y1=\\\"368\\\" x2=\\\"123\\\" y2=\\\"392\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"138\\\" y1=\\\"368\\\" x2=\\\"143\\\" y2=\\\"407\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"138\\\" y1=\\\"368\\\" x2=\\\"129\\\" y2=\\\"345\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"138\\\" y1=\\\"368\\\" x2=\\\"159\\\" y2=\\\"366\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"184\\\" y1=\\\"462\\\" x2=\\\"159\\\" y2=\\\"490\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"184\\\" y1=\\\"462\\\" x2=\\\"207\\\" y2=\\\"484\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"184\\\" y1=\\\"462\\\" x2=\\\"209\\\" y2=\\\"449\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"184\\\" y1=\\\"462\\\" x2=\\\"188\\\" y2=\\\"432\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"184\\\" y1=\\\"462\\\" x2=\\\"161\\\" y2=\\\"454\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"184\\\" y1=\\\"462\\\" x2=\\\"184\\\" y2=\\\"486\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"385\\\" y1=\\\"636\\\" x2=\\\"385\\\" y2=\\\"671\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"385\\\" y1=\\\"636\\\" x2=\\\"402\\\" y2=\\\"609\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"385\\\" y1=\\\"636\\\" x2=\\\"358\\\" y2=\\\"623\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"385\\\" y1=\\\"636\\\" x2=\\\"402\\\" y2=\\\"654\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"385\\\" y1=\\\"636\\\" x2=\\\"363\\\" y2=\\\"646\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"385\\\" y1=\\\"636\\\" x2=\\\"379\\\" y2=\\\"613\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"385\\\" y1=\\\"636\\\" x2=\\\"406\\\" y2=\\\"633\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"226\\\" y1=\\\"340\\\" x2=\\\"211\\\" y2=\\\"361\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"226\\\" y1=\\\"340\\\" x2=\\\"233\\\" y2=\\\"361\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"226\\\" y1=\\\"340\\\" x2=\\\"243\\\" y2=\\\"331\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"226\\\" y1=\\\"340\\\" x2=\\\"240\\\" y2=\\\"346\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"226\\\" y1=\\\"340\\\" x2=\\\"223\\\" y2=\\\"326\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"226\\\" y1=\\\"340\\\" x2=\\\"212\\\" y2=\\\"338\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"226\\\" y1=\\\"340\\\" x2=\\\"233\\\" y2=\\\"327\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"179\\\" y1=\\\"555\\\" x2=\\\"155\\\" y2=\\\"563\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"179\\\" y1=\\\"555\\\" x2=\\\"170\\\" y2=\\\"541\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"179\\\" y1=\\\"555\\\" x2=\\\"193\\\" y2=\\\"546\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"179\\\" y1=\\\"555\\\" x2=\\\"172\\\" y2=\\\"570\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"179\\\" y1=\\\"555\\\" x2=\\\"190\\\" y2=\\\"559\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"179\\\" y1=\\\"555\\\" x2=\\\"181\\\" y2=\\\"544\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"179\\\" y1=\\\"555\\\" x2=\\\"187\\\" y2=\\\"570\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"179\\\" y1=\\\"555\\\" x2=\\\"158\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"657\\\" y1=\\\"689\\\" x2=\\\"638\\\" y2=\\\"667\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"657\\\" y1=\\\"689\\\" x2=\\\"664\\\" y2=\\\"665\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"657\\\" y1=\\\"689\\\" x2=\\\"634\\\" y2=\\\"690\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"657\\\" y1=\\\"689\\\" x2=\\\"657\\\" y2=\\\"712\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"657\\\" y1=\\\"689\\\" x2=\\\"679\\\" y2=\\\"695\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"657\\\" y1=\\\"152\\\" x2=\\\"634\\\" y2=\\\"131\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"657\\\" y1=\\\"152\\\" x2=\\\"661\\\" y2=\\\"179\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"657\\\" y1=\\\"152\\\" x2=\\\"683\\\" y2=\\\"154\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"657\\\" y1=\\\"152\\\" x2=\\\"658\\\" y2=\\\"128\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"657\\\" y1=\\\"152\\\" x2=\\\"634\\\" y2=\\\"154\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"576\\\" y1=\\\"657\\\" x2=\\\"565\\\" y2=\\\"649\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"576\\\" y1=\\\"657\\\" x2=\\\"565\\\" y2=\\\"661\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"576\\\" y1=\\\"657\\\" x2=\\\"585\\\" y2=\\\"648\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"576\\\" y1=\\\"657\\\" x2=\\\"583\\\" y2=\\\"667\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"576\\\" y1=\\\"657\\\" x2=\\\"573\\\" y2=\\\"640\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"576\\\" y1=\\\"657\\\" x2=\\\"571\\\" y2=\\\"671\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"576\\\" y1=\\\"657\\\" x2=\\\"591\\\" y2=\\\"658\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"423\\\" y1=\\\"217\\\" x2=\\\"438\\\" y2=\\\"192\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"423\\\" y1=\\\"217\\\" x2=\\\"411\\\" y2=\\\"244\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"423\\\" y1=\\\"217\\\" x2=\\\"411\\\" y2=\\\"193\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"423\\\" y1=\\\"217\\\" x2=\\\"437\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"423\\\" y1=\\\"217\\\" x2=\\\"397\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"423\\\" y1=\\\"217\\\" x2=\\\"443\\\" y2=\\\"212\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"643\\\" y1=\\\"383\\\" x2=\\\"668\\\" y2=\\\"362\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"643\\\" y1=\\\"383\\\" x2=\\\"620\\\" y2=\\\"400\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"643\\\" y1=\\\"383\\\" x2=\\\"653\\\" y2=\\\"408\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"643\\\" y1=\\\"383\\\" x2=\\\"645\\\" y2=\\\"360\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"643\\\" y1=\\\"383\\\" x2=\\\"619\\\" y2=\\\"379\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"643\\\" y1=\\\"383\\\" x2=\\\"663\\\" y2=\\\"389\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"310\\\" y1=\\\"179\\\" x2=\\\"332\\\" y2=\\\"182\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"310\\\" y1=\\\"179\\\" x2=\\\"312\\\" y2=\\\"155\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"310\\\" y1=\\\"179\\\" x2=\\\"300\\\" y2=\\\"168\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"310\\\" y1=\\\"179\\\" x2=\\\"298\\\" y2=\\\"188\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"310\\\" y1=\\\"179\\\" x2=\\\"314\\\" y2=\\\"189\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"310\\\" y1=\\\"179\\\" x2=\\\"325\\\" y2=\\\"191\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"317\\\" y1=\\\"317\\\" x2=\\\"333\\\" y2=\\\"332\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"317\\\" y1=\\\"317\\\" x2=\\\"333\\\" y2=\\\"317\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"317\\\" y1=\\\"317\\\" x2=\\\"313\\\" y2=\\\"303\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"317\\\" y1=\\\"317\\\" x2=\\\"302\\\" y2=\\\"319\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"317\\\" y1=\\\"317\\\" x2=\\\"323\\\" y2=\\\"308\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"317\\\" y1=\\\"317\\\" x2=\\\"310\\\" y2=\\\"325\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"317\\\" y1=\\\"317\\\" x2=\\\"319\\\" y2=\\\"333\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"195\\\" y1=\\\"222\\\" x2=\\\"196\\\" y2=\\\"206\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"195\\\" y1=\\\"222\\\" x2=\\\"182\\\" y2=\\\"228\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"195\\\" y1=\\\"222\\\" x2=\\\"205\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"195\\\" y1=\\\"222\\\" x2=\\\"185\\\" y2=\\\"217\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"195\\\" y1=\\\"222\\\" x2=\\\"212\\\" y2=\\\"232\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"195\\\" y1=\\\"222\\\" x2=\\\"198\\\" y2=\\\"234\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"195\\\" y1=\\\"222\\\" x2=\\\"185\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"420\\\" x2=\\\"562\\\" y2=\\\"384\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"420\\\" x2=\\\"599\\\" y2=\\\"431\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"420\\\" x2=\\\"544\\\" y2=\\\"434\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"420\\\" x2=\\\"591\\\" y2=\\\"406\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"420\\\" x2=\\\"574\\\" y2=\\\"446\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"420\\\" x2=\\\"549\\\" y2=\\\"413\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"426\\\" y1=\\\"777\\\" x2=\\\"436\\\" y2=\\\"753\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"426\\\" y1=\\\"777\\\" x2=\\\"439\\\" y2=\\\"797\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"426\\\" y1=\\\"777\\\" x2=\\\"405\\\" y2=\\\"766\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"426\\\" y1=\\\"777\\\" x2=\\\"408\\\" y2=\\\"795\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"426\\\" y1=\\\"777\\\" x2=\\\"416\\\" y2=\\\"747\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"426\\\" y1=\\\"777\\\" x2=\\\"451\\\" y2=\\\"767\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"61\\\" y1=\\\"418\\\" x2=\\\"91\\\" y2=\\\"417\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"61\\\" y1=\\\"418\\\" x2=\\\"43\\\" y2=\\\"434\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"61\\\" y1=\\\"418\\\" x2=\\\"44\\\" y2=\\\"400\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"61\\\" y1=\\\"418\\\" x2=\\\"68\\\" y2=\\\"440\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"61\\\" y1=\\\"418\\\" x2=\\\"76\\\" y2=\\\"400\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"780\\\" y1=\\\"438\\\" x2=\\\"752\\\" y2=\\\"429\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"780\\\" y1=\\\"438\\\" x2=\\\"795\\\" y2=\\\"466\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"780\\\" y1=\\\"438\\\" x2=\\\"795\\\" y2=\\\"417\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"780\\\" y1=\\\"438\\\" x2=\\\"819\\\" y2=\\\"440\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"780\\\" y1=\\\"438\\\" x2=\\\"761\\\" y2=\\\"449\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"780\\\" y1=\\\"438\\\" x2=\\\"770\\\" y2=\\\"416\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"597\\\" y1=\\\"337\\\" x2=\\\"609\\\" y2=\\\"348\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"597\\\" y1=\\\"337\\\" x2=\\\"609\\\" y2=\\\"329\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"597\\\" y1=\\\"337\\\" x2=\\\"584\\\" y2=\\\"330\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"597\\\" y1=\\\"337\\\" x2=\\\"598\\\" y2=\\\"348\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"597\\\" y1=\\\"337\\\" x2=\\\"594\\\" y2=\\\"326\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"597\\\" y1=\\\"337\\\" x2=\\\"586\\\" y2=\\\"340\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"698\\\" y1=\\\"642\\\" x2=\\\"687\\\" y2=\\\"674\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"698\\\" y1=\\\"642\\\" x2=\\\"675\\\" y2=\\\"622\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"698\\\" y1=\\\"642\\\" x2=\\\"725\\\" y2=\\\"632\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"698\\\" y1=\\\"642\\\" x2=\\\"709\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"698\\\" y1=\\\"642\\\" x2=\\\"675\\\" y2=\\\"644\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"698\\\" y1=\\\"642\\\" x2=\\\"715\\\" y2=\\\"656\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"698\\\" y1=\\\"642\\\" x2=\\\"692\\\" y2=\\\"618\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"134\\\" y1=\\\"630\\\" x2=\\\"106\\\" y2=\\\"624\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"134\\\" y1=\\\"630\\\" x2=\\\"155\\\" y2=\\\"611\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"134\\\" y1=\\\"630\\\" x2=\\\"124\\\" y2=\\\"608\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"134\\\" y1=\\\"630\\\" x2=\\\"124\\\" y2=\\\"653\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"134\\\" y1=\\\"630\\\" x2=\\\"154\\\" y2=\\\"641\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"690\\\" x2=\\\"159\\\" y2=\\\"690\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"690\\\" x2=\\\"194\\\" y2=\\\"717\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"690\\\" x2=\\\"212\\\" y2=\\\"700\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"690\\\" x2=\\\"214\\\" y2=\\\"675\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"690\\\" x2=\\\"171\\\" y2=\\\"669\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"690\\\" x2=\\\"194\\\" y2=\\\"662\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"690\\\" x2=\\\"174\\\" y2=\\\"708\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"420\\\" y1=\\\"272\\\" x2=\\\"411\\\" y2=\\\"244\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"420\\\" y1=\\\"272\\\" x2=\\\"435\\\" y2=\\\"295\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"420\\\" y1=\\\"272\\\" x2=\\\"406\\\" y2=\\\"296\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"420\\\" y1=\\\"272\\\" x2=\\\"437\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"420\\\" y1=\\\"272\\\" x2=\\\"445\\\" y2=\\\"269\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"420\\\" y1=\\\"272\\\" x2=\\\"399\\\" y2=\\\"263\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"282\\\" y1=\\\"399\\\" x2=\\\"298\\\" y2=\\\"374\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"282\\\" y1=\\\"399\\\" x2=\\\"267\\\" y2=\\\"376\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"282\\\" y1=\\\"399\\\" x2=\\\"256\\\" y2=\\\"409\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"282\\\" y1=\\\"399\\\" x2=\\\"293\\\" y2=\\\"422\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"282\\\" y1=\\\"399\\\" x2=\\\"303\\\" y2=\\\"394\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"421\\\" x2=\\\"207\\\" y2=\\\"387\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"421\\\" x2=\\\"242\\\" y2=\\\"433\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"421\\\" x2=\\\"186\\\" y2=\\\"403\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"421\\\" x2=\\\"209\\\" y2=\\\"449\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"421\\\" x2=\\\"188\\\" y2=\\\"432\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"421\\\" x2=\\\"231\\\" y2=\\\"407\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"581\\\" y1=\\\"506\\\" x2=\\\"577\\\" y2=\\\"493\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"581\\\" y1=\\\"506\\\" x2=\\\"570\\\" y2=\\\"510\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"581\\\" y1=\\\"506\\\" x2=\\\"593\\\" y2=\\\"511\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"581\\\" y1=\\\"506\\\" x2=\\\"595\\\" y2=\\\"494\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"581\\\" y1=\\\"506\\\" x2=\\\"580\\\" y2=\\\"526\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"581\\\" y1=\\\"506\\\" x2=\\\"565\\\" y2=\\\"497\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"581\\\" y1=\\\"506\\\" x2=\\\"586\\\" y2=\\\"518\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"122\\\" y1=\\\"421\\\" x2=\\\"91\\\" y2=\\\"417\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"122\\\" y1=\\\"421\\\" x2=\\\"123\\\" y2=\\\"392\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"122\\\" y1=\\\"421\\\" x2=\\\"143\\\" y2=\\\"435\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"122\\\" y1=\\\"421\\\" x2=\\\"143\\\" y2=\\\"407\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"122\\\" y1=\\\"421\\\" x2=\\\"105\\\" y2=\\\"437\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"122\\\" y1=\\\"421\\\" x2=\\\"108\\\" y2=\\\"406\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"427\\\" y1=\\\"628\\\" x2=\\\"402\\\" y2=\\\"609\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"427\\\" y1=\\\"628\\\" x2=\\\"460\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"427\\\" y1=\\\"628\\\" x2=\\\"426\\\" y2=\\\"594\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"427\\\" y1=\\\"628\\\" x2=\\\"435\\\" y2=\\\"651\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"427\\\" y1=\\\"628\\\" x2=\\\"406\\\" y2=\\\"633\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"427\\\" y1=\\\"628\\\" x2=\\\"439\\\" y2=\\\"610\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"427\\\" y1=\\\"628\\\" x2=\\\"456\\\" y2=\\\"648\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"417\\\" y1=\\\"566\\\" x2=\\\"426\\\" y2=\\\"594\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"417\\\" y1=\\\"566\\\" x2=\\\"402\\\" y2=\\\"543\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"417\\\" y1=\\\"566\\\" x2=\\\"431\\\" y2=\\\"544\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"417\\\" y1=\\\"566\\\" x2=\\\"400\\\" y2=\\\"585\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"417\\\" y1=\\\"566\\\" x2=\\\"441\\\" y2=\\\"576\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"417\\\" y1=\\\"566\\\" x2=\\\"385\\\" y2=\\\"570\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"461\\\" x2=\\\"544\\\" y2=\\\"434\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"461\\\" x2=\\\"531\\\" y2=\\\"475\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"461\\\" x2=\\\"574\\\" y2=\\\"446\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"461\\\" x2=\\\"551\\\" y2=\\\"482\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"461\\\" x2=\\\"533\\\" y2=\\\"454\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"461\\\" x2=\\\"563\\\" y2=\\\"471\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"461\\\" x2=\\\"573\\\" y2=\\\"463\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"393\\\" y1=\\\"137\\\" x2=\\\"388\\\" y2=\\\"171\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"393\\\" y1=\\\"137\\\" x2=\\\"365\\\" y2=\\\"150\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"393\\\" y1=\\\"137\\\" x2=\\\"379\\\" y2=\\\"116\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"393\\\" y1=\\\"137\\\" x2=\\\"409\\\" y2=\\\"117\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"393\\\" y1=\\\"137\\\" x2=\\\"411\\\" y2=\\\"149\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"698\\\" y1=\\\"447\\\" x2=\\\"691\\\" y2=\\\"479\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"698\\\" y1=\\\"447\\\" x2=\\\"713\\\" y2=\\\"466\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"698\\\" y1=\\\"447\\\" x2=\\\"703\\\" y2=\\\"414\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"698\\\" y1=\\\"447\\\" x2=\\\"685\\\" y2=\\\"429\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"698\\\" y1=\\\"447\\\" x2=\\\"680\\\" y2=\\\"460\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"698\\\" y1=\\\"447\\\" x2=\\\"722\\\" y2=\\\"439\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"726\\\" y1=\\\"414\\\" x2=\\\"707\\\" y2=\\\"391\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"726\\\" y1=\\\"414\\\" x2=\\\"752\\\" y2=\\\"429\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"726\\\" y1=\\\"414\\\" x2=\\\"753\\\" y2=\\\"402\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"726\\\" y1=\\\"414\\\" x2=\\\"703\\\" y2=\\\"414\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"726\\\" y1=\\\"414\\\" x2=\\\"722\\\" y2=\\\"439\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"726\\\" y1=\\\"414\\\" x2=\\\"731\\\" y2=\\\"392\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"118\\\" y1=\\\"215\\\" x2=\\\"148\\\" y2=\\\"216\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"118\\\" y1=\\\"215\\\" x2=\\\"121\\\" y2=\\\"240\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"118\\\" y1=\\\"215\\\" x2=\\\"97\\\" y2=\\\"223\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"118\\\" y1=\\\"215\\\" x2=\\\"89\\\" y2=\\\"194\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"118\\\" y1=\\\"215\\\" x2=\\\"116\\\" y2=\\\"193\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"99\\\" x2=\\\"282\\\" y2=\\\"69\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"99\\\" x2=\\\"280\\\" y2=\\\"126\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"99\\\" x2=\\\"313\\\" y2=\\\"107\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"99\\\" x2=\\\"303\\\" y2=\\\"83\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"99\\\" x2=\\\"269\\\" y2=\\\"109\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"99\\\" x2=\\\"269\\\" y2=\\\"88\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"230\\\" y1=\\\"505\\\" x2=\\\"245\\\" y2=\\\"512\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"230\\\" y1=\\\"505\\\" x2=\\\"218\\\" y2=\\\"521\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"230\\\" y1=\\\"505\\\" x2=\\\"242\\\" y2=\\\"499\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"230\\\" y1=\\\"505\\\" x2=\\\"220\\\" y2=\\\"505\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"230\\\" y1=\\\"505\\\" x2=\\\"229\\\" y2=\\\"495\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"230\\\" y1=\\\"505\\\" x2=\\\"234\\\" y2=\\\"515\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"690\\\" x2=\\\"541\\\" y2=\\\"717\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"690\\\" x2=\\\"583\\\" y2=\\\"699\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"690\\\" x2=\\\"553\\\" y2=\\\"666\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"690\\\" x2=\\\"534\\\" y2=\\\"697\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"690\\\" x2=\\\"564\\\" y2=\\\"707\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"690\\\" x2=\\\"571\\\" y2=\\\"683\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"462\\\" y1=\\\"208\\\" x2=\\\"438\\\" y2=\\\"192\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"462\\\" y1=\\\"208\\\" x2=\\\"478\\\" y2=\\\"229\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"462\\\" y1=\\\"208\\\" x2=\\\"459\\\" y2=\\\"186\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"462\\\" y1=\\\"208\\\" x2=\\\"455\\\" y2=\\\"228\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"462\\\" y1=\\\"208\\\" x2=\\\"443\\\" y2=\\\"212\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"462\\\" y1=\\\"208\\\" x2=\\\"480\\\" y2=\\\"198\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"731\\\" y1=\\\"604\\\" x2=\\\"755\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"731\\\" y1=\\\"604\\\" x2=\\\"714\\\" y2=\\\"581\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"731\\\" y1=\\\"604\\\" x2=\\\"725\\\" y2=\\\"632\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"731\\\" y1=\\\"604\\\" x2=\\\"709\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"731\\\" y1=\\\"604\\\" x2=\\\"760\\\" y2=\\\"628\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"502\\\" y1=\\\"239\\\" x2=\\\"495\\\" y2=\\\"254\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"502\\\" y1=\\\"239\\\" x2=\\\"516\\\" y2=\\\"235\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"502\\\" y1=\\\"239\\\" x2=\\\"509\\\" y2=\\\"256\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"502\\\" y1=\\\"239\\\" x2=\\\"490\\\" y2=\\\"234\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"502\\\" y1=\\\"239\\\" x2=\\\"507\\\" y2=\\\"229\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"502\\\" y1=\\\"239\\\" x2=\\\"511\\\" y2=\\\"245\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"502\\\" y1=\\\"239\\\" x2=\\\"493\\\" y2=\\\"244\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"502\\\" y1=\\\"239\\\" x2=\\\"495\\\" y2=\\\"223\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"463\\\" y1=\\\"288\\\" x2=\\\"488\\\" y2=\\\"268\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"463\\\" y1=\\\"288\\\" x2=\\\"435\\\" y2=\\\"295\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"463\\\" y1=\\\"288\\\" x2=\\\"479\\\" y2=\\\"306\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"463\\\" y1=\\\"288\\\" x2=\\\"445\\\" y2=\\\"269\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"463\\\" y1=\\\"288\\\" x2=\\\"462\\\" y2=\\\"268\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"463\\\" y1=\\\"288\\\" x2=\\\"483\\\" y2=\\\"287\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"221\\\" y1=\\\"726\\\" x2=\\\"194\\\" y2=\\\"717\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"221\\\" y1=\\\"726\\\" x2=\\\"239\\\" y2=\\\"747\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"221\\\" y1=\\\"726\\\" x2=\\\"252\\\" y2=\\\"708\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"221\\\" y1=\\\"726\\\" x2=\\\"212\\\" y2=\\\"700\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"221\\\" y1=\\\"726\\\" x2=\\\"243\\\" y2=\\\"727\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"221\\\" y1=\\\"726\\\" x2=\\\"228\\\" y2=\\\"707\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"431\\\" y1=\\\"726\\\" x2=\\\"429\\\" y2=\\\"697\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"431\\\" y1=\\\"726\\\" x2=\\\"436\\\" y2=\\\"753\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"431\\\" y1=\\\"726\\\" x2=\\\"457\\\" y2=\\\"725\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"431\\\" y1=\\\"726\\\" x2=\\\"416\\\" y2=\\\"747\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"431\\\" y1=\\\"726\\\" x2=\\\"406\\\" y2=\\\"725\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"297\\\" y1=\\\"757\\\" x2=\\\"313\\\" y2=\\\"733\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"297\\\" y1=\\\"757\\\" x2=\\\"269\\\" y2=\\\"760\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"297\\\" y1=\\\"757\\\" x2=\\\"285\\\" y2=\\\"738\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"297\\\" y1=\\\"757\\\" x2=\\\"317\\\" y2=\\\"754\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"297\\\" y1=\\\"757\\\" x2=\\\"299\\\" y2=\\\"779\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"375\\\" y1=\\\"551\\\" x2=\\\"348\\\" y2=\\\"573\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"375\\\" y1=\\\"551\\\" x2=\\\"360\\\" y2=\\\"529\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"375\\\" y1=\\\"551\\\" x2=\\\"402\\\" y2=\\\"543\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"375\\\" y1=\\\"551\\\" x2=\\\"385\\\" y2=\\\"570\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"375\\\" y1=\\\"551\\\" x2=\\\"356\\\" y2=\\\"547\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"375\\\" y1=\\\"551\\\" x2=\\\"367\\\" y2=\\\"572\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"335\\\" y1=\\\"603\\\" x2=\\\"342\\\" y2=\\\"588\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"335\\\" y1=\\\"603\\\" x2=\\\"347\\\" y2=\\\"613\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"335\\\" y1=\\\"603\\\" x2=\\\"330\\\" y2=\\\"592\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"335\\\" y1=\\\"603\\\" x2=\\\"324\\\" y2=\\\"603\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"335\\\" y1=\\\"603\\\" x2=\\\"346\\\" y2=\\\"602\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"335\\\" y1=\\\"603\\\" x2=\\\"336\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"335\\\" y1=\\\"603\\\" x2=\\\"324\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"602\\\" x2=\\\"195\\\" y2=\\\"611\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"602\\\" x2=\\\"168\\\" y2=\\\"607\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"602\\\" x2=\\\"174\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"602\\\" x2=\\\"189\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"602\\\" x2=\\\"178\\\" y2=\\\"613\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"602\\\" x2=\\\"202\\\" y2=\\\"602\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"602\\\" x2=\\\"191\\\" y2=\\\"622\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"387\\\" y1=\\\"782\\\" x2=\\\"353\\\" y2=\\\"784\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"387\\\" y1=\\\"782\\\" x2=\\\"375\\\" y2=\\\"759\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"387\\\" y1=\\\"782\\\" x2=\\\"405\\\" y2=\\\"766\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"387\\\" y1=\\\"782\\\" x2=\\\"408\\\" y2=\\\"795\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"387\\\" y1=\\\"782\\\" x2=\\\"389\\\" y2=\\\"818\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"364\\\" y1=\\\"65\\\" x2=\\\"366\\\" y2=\\\"95\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"364\\\" y1=\\\"65\\\" x2=\\\"337\\\" y2=\\\"57\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"364\\\" y1=\\\"65\\\" x2=\\\"379\\\" y2=\\\"46\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"364\\\" y1=\\\"65\\\" x2=\\\"346\\\" y2=\\\"77\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"364\\\" y1=\\\"65\\\" x2=\\\"381\\\" y2=\\\"79\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"364\\\" y1=\\\"65\\\" x2=\\\"358\\\" y2=\\\"45\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"103\\\" y1=\\\"596\\\" x2=\\\"106\\\" y2=\\\"624\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"103\\\" y1=\\\"596\\\" x2=\\\"120\\\" y2=\\\"570\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"103\\\" y1=\\\"596\\\" x2=\\\"124\\\" y2=\\\"608\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"103\\\" y1=\\\"596\\\" x2=\\\"81\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"103\\\" y1=\\\"596\\\" x2=\\\"98\\\" y2=\\\"576\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"103\\\" y1=\\\"596\\\" x2=\\\"90\\\" y2=\\\"612\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"135\\\" y1=\\\"547\\\" x2=\\\"161\\\" y2=\\\"527\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"135\\\" y1=\\\"547\\\" x2=\\\"112\\\" y2=\\\"532\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"135\\\" y1=\\\"547\\\" x2=\\\"120\\\" y2=\\\"570\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"135\\\" y1=\\\"547\\\" x2=\\\"155\\\" y2=\\\"563\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"135\\\" y1=\\\"547\\\" x2=\\\"131\\\" y2=\\\"528\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"135\\\" y1=\\\"547\\\" x2=\\\"158\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"518\\\" x2=\\\"293\\\" y2=\\\"532\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"518\\\" x2=\\\"322\\\" y2=\\\"530\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"518\\\" x2=\\\"294\\\" y2=\\\"504\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"518\\\" x2=\\\"312\\\" y2=\\\"503\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"518\\\" x2=\\\"308\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"518\\\" x2=\\\"321\\\" y2=\\\"516\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"518\\\" x2=\\\"295\\\" y2=\\\"516\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"722\\\" y1=\\\"489\\\" x2=\\\"691\\\" y2=\\\"479\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"722\\\" y1=\\\"489\\\" x2=\\\"748\\\" y2=\\\"483\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"722\\\" y1=\\\"489\\\" x2=\\\"713\\\" y2=\\\"466\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"722\\\" y1=\\\"489\\\" x2=\\\"701\\\" y2=\\\"500\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"722\\\" y1=\\\"489\\\" x2=\\\"723\\\" y2=\\\"512\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"156\\\" y1=\\\"285\\\" x2=\\\"164\\\" y2=\\\"319\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"156\\\" y1=\\\"285\\\" x2=\\\"182\\\" y2=\\\"284\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"156\\\" y1=\\\"285\\\" x2=\\\"137\\\" y2=\\\"277\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"156\\\" y1=\\\"285\\\" x2=\\\"160\\\" y2=\\\"263\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"156\\\" y1=\\\"285\\\" x2=\\\"149\\\" y2=\\\"304\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"156\\\" y1=\\\"285\\\" x2=\\\"173\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"156\\\" y1=\\\"285\\\" x2=\\\"171\\\" y2=\\\"273\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"387\\\" y1=\\\"204\\\" x2=\\\"388\\\" y2=\\\"171\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"387\\\" y1=\\\"204\\\" x2=\\\"359\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"387\\\" y1=\\\"204\\\" x2=\\\"411\\\" y2=\\\"193\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"387\\\" y1=\\\"204\\\" x2=\\\"397\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"387\\\" y1=\\\"204\\\" x2=\\\"357\\\" y2=\\\"201\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"57\\\" y1=\\\"379\\\" x2=\\\"53\\\" y2=\\\"347\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"57\\\" y1=\\\"379\\\" x2=\\\"80\\\" y2=\\\"363\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"57\\\" y1=\\\"379\\\" x2=\\\"44\\\" y2=\\\"400\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"57\\\" y1=\\\"379\\\" x2=\\\"76\\\" y2=\\\"400\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"57\\\" y1=\\\"379\\\" x2=\\\"21\\\" y2=\\\"380\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"81\\\" x2=\\\"521\\\" y2=\\\"104\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"81\\\" x2=\\\"520\\\" y2=\\\"68\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"81\\\" x2=\\\"544\\\" y2=\\\"113\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"81\\\" x2=\\\"557\\\" y2=\\\"67\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"81\\\" x2=\\\"558\\\" y2=\\\"94\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"773\\\" y1=\\\"475\\\" x2=\\\"783\\\" y2=\\\"502\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"773\\\" y1=\\\"475\\\" x2=\\\"748\\\" y2=\\\"483\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"773\\\" y1=\\\"475\\\" x2=\\\"795\\\" y2=\\\"466\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"773\\\" y1=\\\"475\\\" x2=\\\"761\\\" y2=\\\"449\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"659\\\" y1=\\\"577\\\" x2=\\\"639\\\" y2=\\\"578\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"659\\\" y1=\\\"577\\\" x2=\\\"650\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"659\\\" y1=\\\"577\\\" x2=\\\"648\\\" y2=\\\"569\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"659\\\" y1=\\\"577\\\" x2=\\\"664\\\" y2=\\\"566\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"659\\\" y1=\\\"577\\\" x2=\\\"664\\\" y2=\\\"588\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"659\\\" y1=\\\"577\\\" x2=\\\"670\\\" y2=\\\"575\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"698\\\" y1=\\\"560\\\" x2=\\\"714\\\" y2=\\\"581\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"698\\\" y1=\\\"560\\\" x2=\\\"718\\\" y2=\\\"550\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"698\\\" y1=\\\"560\\\" x2=\\\"681\\\" y2=\\\"574\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"698\\\" y1=\\\"560\\\" x2=\\\"700\\\" y2=\\\"541\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"698\\\" y1=\\\"560\\\" x2=\\\"688\\\" y2=\\\"546\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"698\\\" y1=\\\"560\\\" x2=\\\"684\\\" y2=\\\"557\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"453\\\" y1=\\\"557\\\" x2=\\\"431\\\" y2=\\\"544\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"453\\\" y1=\\\"557\\\" x2=\\\"441\\\" y2=\\\"576\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"453\\\" y1=\\\"557\\\" x2=\\\"459\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"453\\\" y1=\\\"557\\\" x2=\\\"468\\\" y2=\\\"571\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"293\\\" x2=\\\"629\\\" y2=\\\"276\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"293\\\" x2=\\\"619\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"293\\\" x2=\\\"655\\\" y2=\\\"284\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"293\\\" x2=\\\"654\\\" y2=\\\"302\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"293\\\" x2=\\\"630\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"293\\\" x2=\\\"641\\\" y2=\\\"281\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"293\\\" x2=\\\"641\\\" y2=\\\"304\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"293\\\" x2=\\\"624\\\" y2=\\\"285\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"778\\\" y1=\\\"356\\\" x2=\\\"785\\\" y2=\\\"329\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"778\\\" y1=\\\"356\\\" x2=\\\"754\\\" y2=\\\"352\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"778\\\" y1=\\\"356\\\" x2=\\\"793\\\" y2=\\\"376\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"778\\\" y1=\\\"356\\\" x2=\\\"771\\\" y2=\\\"377\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"778\\\" y1=\\\"356\\\" x2=\\\"815\\\" y2=\\\"360\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"780\\\" y1=\\\"397\\\" x2=\\\"753\\\" y2=\\\"402\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"780\\\" y1=\\\"397\\\" x2=\\\"793\\\" y2=\\\"376\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"780\\\" y1=\\\"397\\\" x2=\\\"795\\\" y2=\\\"417\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"780\\\" y1=\\\"397\\\" x2=\\\"819\\\" y2=\\\"400\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"780\\\" y1=\\\"397\\\" x2=\\\"770\\\" y2=\\\"416\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"780\\\" y1=\\\"397\\\" x2=\\\"771\\\" y2=\\\"377\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"218\\\" y1=\\\"650\\\" x2=\\\"213\\\" y2=\\\"635\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"218\\\" y1=\\\"650\\\" x2=\\\"216\\\" y2=\\\"663\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"218\\\" y1=\\\"650\\\" x2=\\\"206\\\" y2=\\\"656\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"218\\\" y1=\\\"650\\\" x2=\\\"229\\\" y2=\\\"645\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"218\\\" y1=\\\"650\\\" x2=\\\"227\\\" y2=\\\"658\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"218\\\" y1=\\\"650\\\" x2=\\\"209\\\" y2=\\\"645\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"218\\\" y1=\\\"650\\\" x2=\\\"224\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"256\\\" y1=\\\"657\\\" x2=\\\"245\\\" y2=\\\"673\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"256\\\" y1=\\\"657\\\" x2=\\\"275\\\" y2=\\\"658\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"256\\\" y1=\\\"657\\\" x2=\\\"264\\\" y2=\\\"674\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"256\\\" y1=\\\"657\\\" x2=\\\"266\\\" y2=\\\"649\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"256\\\" y1=\\\"657\\\" x2=\\\"248\\\" y2=\\\"648\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"256\\\" y1=\\\"657\\\" x2=\\\"245\\\" y2=\\\"662\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"256\\\" y1=\\\"657\\\" x2=\\\"258\\\" y2=\\\"640\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"272\\\" y1=\\\"691\\\" x2=\\\"283\\\" y2=\\\"715\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"272\\\" y1=\\\"691\\\" x2=\\\"252\\\" y2=\\\"708\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"272\\\" y1=\\\"691\\\" x2=\\\"307\\\" y2=\\\"680\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"272\\\" y1=\\\"691\\\" x2=\\\"253\\\" y2=\\\"690\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"272\\\" y1=\\\"691\\\" x2=\\\"283\\\" y2=\\\"675\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"272\\\" y1=\\\"691\\\" x2=\\\"264\\\" y2=\\\"674\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"522\\\" y1=\\\"329\\\" x2=\\\"496\\\" y2=\\\"323\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"522\\\" y1=\\\"329\\\" x2=\\\"509\\\" y2=\\\"353\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"522\\\" y1=\\\"329\\\" x2=\\\"512\\\" y2=\\\"313\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"522\\\" y1=\\\"329\\\" x2=\\\"526\\\" y2=\\\"314\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"522\\\" y1=\\\"329\\\" x2=\\\"525\\\" y2=\\\"343\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"522\\\" y1=\\\"329\\\" x2=\\\"534\\\" y2=\\\"327\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"522\\\" y1=\\\"329\\\" x2=\\\"537\\\" y2=\\\"341\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"401\\\" y1=\\\"703\\\" x2=\\\"385\\\" y2=\\\"671\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"401\\\" y1=\\\"703\\\" x2=\\\"429\\\" y2=\\\"697\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"401\\\" y1=\\\"703\\\" x2=\\\"384\\\" y2=\\\"721\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"401\\\" y1=\\\"703\\\" x2=\\\"406\\\" y2=\\\"725\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"738\\\" y1=\\\"294\\\" x2=\\\"755\\\" y2=\\\"266\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"738\\\" y1=\\\"294\\\" x2=\\\"770\\\" y2=\\\"296\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"738\\\" y1=\\\"294\\\" x2=\\\"702\\\" y2=\\\"283\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"738\\\" y1=\\\"294\\\" x2=\\\"732\\\" y2=\\\"320\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"739\\\" x2=\\\"635\\\" y2=\\\"718\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"739\\\" x2=\\\"609\\\" y2=\\\"713\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"739\\\" x2=\\\"581\\\" y2=\\\"749\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"739\\\" x2=\\\"589\\\" y2=\\\"720\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"384\\\" y1=\\\"280\\\" x2=\\\"360\\\" y2=\\\"260\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"384\\\" y1=\\\"280\\\" x2=\\\"406\\\" y2=\\\"296\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"384\\\" y1=\\\"280\\\" x2=\\\"368\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"384\\\" y1=\\\"280\\\" x2=\\\"399\\\" y2=\\\"263\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"384\\\" y1=\\\"280\\\" x2=\\\"388\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"384\\\" y1=\\\"280\\\" x2=\\\"365\\\" y2=\\\"282\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"257\\\" x2=\\\"175\\\" y2=\\\"246\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"257\\\" x2=\\\"182\\\" y2=\\\"271\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"257\\\" x2=\\\"191\\\" y2=\\\"251\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"257\\\" x2=\\\"190\\\" y2=\\\"264\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"257\\\" x2=\\\"171\\\" y2=\\\"260\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"257\\\" x2=\\\"185\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"113\\\" x2=\\\"634\\\" y2=\\\"131\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"113\\\" x2=\\\"598\\\" y2=\\\"89\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"113\\\" x2=\\\"632\\\" y2=\\\"107\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"113\\\" x2=\\\"589\\\" y2=\\\"124\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"615\\\" y1=\\\"649\\\" x2=\\\"613\\\" y2=\\\"668\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"615\\\" y1=\\\"649\\\" x2=\\\"634\\\" y2=\\\"646\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"615\\\" y1=\\\"649\\\" x2=\\\"626\\\" y2=\\\"658\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"615\\\" y1=\\\"649\\\" x2=\\\"604\\\" y2=\\\"644\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"615\\\" y1=\\\"649\\\" x2=\\\"619\\\" y2=\\\"637\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"615\\\" y1=\\\"649\\\" x2=\\\"603\\\" y2=\\\"663\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"615\\\" y1=\\\"649\\\" x2=\\\"591\\\" y2=\\\"658\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"603\\\" y1=\\\"188\\\" x2=\\\"591\\\" y2=\\\"196\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"603\\\" y1=\\\"188\\\" x2=\\\"613\\\" y2=\\\"181\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"603\\\" y1=\\\"188\\\" x2=\\\"597\\\" y2=\\\"177\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"603\\\" y1=\\\"188\\\" x2=\\\"608\\\" y2=\\\"198\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"603\\\" y1=\\\"188\\\" x2=\\\"586\\\" y2=\\\"187\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"603\\\" y1=\\\"188\\\" x2=\\\"596\\\" y2=\\\"206\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"603\\\" y1=\\\"188\\\" x2=\\\"618\\\" y2=\\\"191\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"562\\\" y1=\\\"384\\\" x2=\\\"536\\\" y2=\\\"396\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"562\\\" y1=\\\"384\\\" x2=\\\"578\\\" y2=\\\"362\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"562\\\" y1=\\\"384\\\" x2=\\\"591\\\" y2=\\\"406\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"562\\\" y1=\\\"384\\\" x2=\\\"542\\\" y2=\\\"375\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"562\\\" y1=\\\"384\\\" x2=\\\"549\\\" y2=\\\"413\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"562\\\" y1=\\\"384\\\" x2=\\\"558\\\" y2=\\\"366\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"652\\\" y1=\\\"242\\\" x2=\\\"636\\\" y2=\\\"251\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"652\\\" y1=\\\"242\\\" x2=\\\"662\\\" y2=\\\"258\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"652\\\" y1=\\\"242\\\" x2=\\\"641\\\" y2=\\\"232\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"652\\\" y1=\\\"242\\\" x2=\\\"648\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"652\\\" y1=\\\"242\\\" x2=\\\"654\\\" y2=\\\"229\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"652\\\" y1=\\\"242\\\" x2=\\\"664\\\" y2=\\\"244\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"652\\\" y1=\\\"242\\\" x2=\\\"666\\\" y2=\\\"231\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"652\\\" y1=\\\"242\\\" x2=\\\"638\\\" y2=\\\"242\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"721\\\" y1=\\\"221\\\" x2=\\\"721\\\" y2=\\\"191\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"721\\\" y1=\\\"221\\\" x2=\\\"701\\\" y2=\\\"242\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"721\\\" y1=\\\"221\\\" x2=\\\"744\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"721\\\" y1=\\\"221\\\" x2=\\\"701\\\" y2=\\\"206\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"721\\\" y1=\\\"221\\\" x2=\\\"741\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"688\\\" y1=\\\"180\\\" x2=\\\"721\\\" y2=\\\"191\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"688\\\" y1=\\\"180\\\" x2=\\\"661\\\" y2=\\\"179\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"688\\\" y1=\\\"180\\\" x2=\\\"701\\\" y2=\\\"206\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"688\\\" y1=\\\"180\\\" x2=\\\"683\\\" y2=\\\"154\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"688\\\" y1=\\\"180\\\" x2=\\\"674\\\" y2=\\\"199\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"688\\\" y1=\\\"180\\\" x2=\\\"705\\\" y2=\\\"168\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"509\\\" y1=\\\"522\\\" x2=\\\"481\\\" y2=\\\"528\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"509\\\" y1=\\\"522\\\" x2=\\\"514\\\" y2=\\\"498\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"509\\\" y1=\\\"522\\\" x2=\\\"500\\\" y2=\\\"539\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"509\\\" y1=\\\"522\\\" x2=\\\"524\\\" y2=\\\"511\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"509\\\" y1=\\\"522\\\" x2=\\\"516\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"509\\\" y1=\\\"522\\\" x2=\\\"523\\\" y2=\\\"525\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"635\\\" y1=\\\"718\\\" x2=\\\"609\\\" y2=\\\"713\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"635\\\" y1=\\\"718\\\" x2=\\\"634\\\" y2=\\\"690\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"635\\\" y1=\\\"718\\\" x2=\\\"657\\\" y2=\\\"712\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"401\\\" y1=\\\"59\\\" x2=\\\"425\\\" y2=\\\"43\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"401\\\" y1=\\\"59\\\" x2=\\\"415\\\" y2=\\\"79\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"401\\\" y1=\\\"59\\\" x2=\\\"379\\\" y2=\\\"46\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"401\\\" y1=\\\"59\\\" x2=\\\"381\\\" y2=\\\"79\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"97\\\" y1=\\\"246\\\" x2=\\\"121\\\" y2=\\\"264\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"97\\\" y1=\\\"246\\\" x2=\\\"121\\\" y2=\\\"240\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"97\\\" y1=\\\"246\\\" x2=\\\"78\\\" y2=\\\"261\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"97\\\" y1=\\\"246\\\" x2=\\\"97\\\" y2=\\\"223\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"97\\\" y1=\\\"246\\\" x2=\\\"68\\\" y2=\\\"228\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"161\\\" y1=\\\"155\\\" x2=\\\"188\\\" y2=\\\"140\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"161\\\" y1=\\\"155\\\" x2=\\\"185\\\" y2=\\\"166\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"161\\\" y1=\\\"155\\\" x2=\\\"162\\\" y2=\\\"173\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"161\\\" y1=\\\"155\\\" x2=\\\"147\\\" y2=\\\"167\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"159\\\" y1=\\\"490\\\" x2=\\\"134\\\" y2=\\\"485\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"159\\\" y1=\\\"490\\\" x2=\\\"161\\\" y2=\\\"454\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"159\\\" y1=\\\"490\\\" x2=\\\"184\\\" y2=\\\"486\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"159\\\" y1=\\\"490\\\" x2=\\\"145\\\" y2=\\\"518\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"159\\\" y1=\\\"490\\\" x2=\\\"160\\\" y2=\\\"508\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"766\\\" y1=\\\"546\\\" x2=\\\"733\\\" y2=\\\"532\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"766\\\" y1=\\\"546\\\" x2=\\\"780\\\" y2=\\\"526\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"766\\\" y1=\\\"546\\\" x2=\\\"757\\\" y2=\\\"565\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"641\\\" y1=\\\"608\\\" x2=\\\"647\\\" y2=\\\"626\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"641\\\" y1=\\\"608\\\" x2=\\\"650\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"641\\\" y1=\\\"608\\\" x2=\\\"658\\\" y2=\\\"615\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"641\\\" y1=\\\"608\\\" x2=\\\"632\\\" y2=\\\"617\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"641\\\" y1=\\\"608\\\" x2=\\\"655\\\" y2=\\\"604\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"641\\\" y1=\\\"608\\\" x2=\\\"625\\\" y2=\\\"603\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"641\\\" y1=\\\"608\\\" x2=\\\"636\\\" y2=\\\"601\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"641\\\" y1=\\\"608\\\" x2=\\\"640\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"214\\\" y1=\\\"121\\\" x2=\\\"188\\\" y2=\\\"140\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"214\\\" y1=\\\"121\\\" x2=\\\"225\\\" y2=\\\"98\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"214\\\" y1=\\\"121\\\" x2=\\\"191\\\" y2=\\\"117\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"214\\\" y1=\\\"121\\\" x2=\\\"223\\\" y2=\\\"141\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"233\\\" y1=\\\"189\\\" x2=\\\"236\\\" y2=\\\"207\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"233\\\" y1=\\\"189\\\" x2=\\\"223\\\" y2=\\\"175\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"233\\\" y1=\\\"189\\\" x2=\\\"215\\\" y2=\\\"189\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"233\\\" y1=\\\"189\\\" x2=\\\"246\\\" y2=\\\"196\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"233\\\" y1=\\\"189\\\" x2=\\\"224\\\" y2=\\\"198\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"233\\\" y1=\\\"189\\\" x2=\\\"239\\\" y2=\\\"180\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"233\\\" y1=\\\"189\\\" x2=\\\"252\\\" y2=\\\"187\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"502\\\" y1=\\\"781\\\" x2=\\\"527\\\" y2=\\\"780\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"502\\\" y1=\\\"781\\\" x2=\\\"487\\\" y2=\\\"759\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"502\\\" y1=\\\"781\\\" x2=\\\"482\\\" y2=\\\"792\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"323\\\" x2=\\\"271\\\" y2=\\\"336\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"323\\\" x2=\\\"243\\\" y2=\\\"331\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"323\\\" x2=\\\"256\\\" y2=\\\"338\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"323\\\" x2=\\\"273\\\" y2=\\\"322\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"323\\\" x2=\\\"250\\\" y2=\\\"319\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"323\\\" x2=\\\"259\\\" y2=\\\"309\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"323\\\" x2=\\\"264\\\" y2=\\\"316\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"460\\\" y1=\\\"785\\\" x2=\\\"487\\\" y2=\\\"759\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"460\\\" y1=\\\"785\\\" x2=\\\"439\\\" y2=\\\"797\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"460\\\" y1=\\\"785\\\" x2=\\\"482\\\" y2=\\\"792\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"460\\\" y1=\\\"785\\\" x2=\\\"469\\\" y2=\\\"816\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"460\\\" y1=\\\"785\\\" x2=\\\"451\\\" y2=\\\"767\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"51\\\" y1=\\\"456\\\" x2=\\\"50\\\" y2=\\\"494\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"51\\\" y1=\\\"456\\\" x2=\\\"71\\\" y2=\\\"477\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"51\\\" y1=\\\"456\\\" x2=\\\"43\\\" y2=\\\"434\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"51\\\" y1=\\\"456\\\" x2=\\\"68\\\" y2=\\\"440\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"147\\\" y1=\\\"663\\\" x2=\\\"159\\\" y2=\\\"690\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"147\\\" y1=\\\"663\\\" x2=\\\"171\\\" y2=\\\"669\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"147\\\" y1=\\\"663\\\" x2=\\\"124\\\" y2=\\\"653\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"147\\\" y1=\\\"663\\\" x2=\\\"154\\\" y2=\\\"641\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"671\\\" y1=\\\"310\\\" x2=\\\"686\\\" y2=\\\"336\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"671\\\" y1=\\\"310\\\" x2=\\\"690\\\" y2=\\\"302\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"671\\\" y1=\\\"310\\\" x2=\\\"659\\\" y2=\\\"324\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"671\\\" y1=\\\"310\\\" x2=\\\"666\\\" y2=\\\"337\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"671\\\" y1=\\\"310\\\" x2=\\\"671\\\" y2=\\\"292\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"671\\\" y1=\\\"310\\\" x2=\\\"654\\\" y2=\\\"302\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"671\\\" y1=\\\"310\\\" x2=\\\"658\\\" y2=\\\"313\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"495\\\" y1=\\\"735\\\" x2=\\\"488\\\" y2=\\\"710\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"495\\\" y1=\\\"735\\\" x2=\\\"457\\\" y2=\\\"725\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"495\\\" y1=\\\"735\\\" x2=\\\"520\\\" y2=\\\"730\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"495\\\" y1=\\\"735\\\" x2=\\\"487\\\" y2=\\\"759\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"670\\\" y1=\\\"506\\\" x2=\\\"691\\\" y2=\\\"479\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"670\\\" y1=\\\"506\\\" x2=\\\"677\\\" y2=\\\"531\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"670\\\" y1=\\\"506\\\" x2=\\\"644\\\" y2=\\\"514\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"670\\\" y1=\\\"506\\\" x2=\\\"701\\\" y2=\\\"500\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"670\\\" y1=\\\"506\\\" x2=\\\"665\\\" y2=\\\"488\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"670\\\" y1=\\\"506\\\" x2=\\\"661\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"670\\\" y1=\\\"506\\\" x2=\\\"656\\\" y2=\\\"495\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"106\\\" y1=\\\"483\\\" x2=\\\"71\\\" y2=\\\"477\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"106\\\" y1=\\\"483\\\" x2=\\\"134\\\" y2=\\\"485\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"106\\\" y1=\\\"483\\\" x2=\\\"112\\\" y2=\\\"459\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"106\\\" y1=\\\"483\\\" x2=\\\"103\\\" y2=\\\"509\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"729\\\" y1=\\\"346\\\" x2=\\\"732\\\" y2=\\\"320\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"729\\\" y1=\\\"346\\\" x2=\\\"754\\\" y2=\\\"352\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"729\\\" y1=\\\"346\\\" x2=\\\"722\\\" y2=\\\"372\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"729\\\" y1=\\\"346\\\" x2=\\\"708\\\" y2=\\\"337\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"472\\\" y1=\\\"58\\\" x2=\\\"470\\\" y2=\\\"88\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"472\\\" y1=\\\"58\\\" x2=\\\"501\\\" y2=\\\"52\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"472\\\" y1=\\\"58\\\" x2=\\\"449\\\" y2=\\\"47\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"472\\\" y1=\\\"58\\\" x2=\\\"469\\\" y2=\\\"23\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"333\\\" y1=\\\"254\\\" x2=\\\"340\\\" y2=\\\"269\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"333\\\" y1=\\\"254\\\" x2=\\\"330\\\" y2=\\\"237\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"333\\\" y1=\\\"254\\\" x2=\\\"346\\\" y2=\\\"257\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"333\\\" y1=\\\"254\\\" x2=\\\"323\\\" y2=\\\"247\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"333\\\" y1=\\\"254\\\" x2=\\\"341\\\" y2=\\\"247\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"333\\\" y1=\\\"254\\\" x2=\\\"325\\\" y2=\\\"261\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"332\\\" y1=\\\"680\\\" x2=\\\"338\\\" y2=\\\"719\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"332\\\" y1=\\\"680\\\" x2=\\\"358\\\" y2=\\\"670\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"332\\\" y1=\\\"680\\\" x2=\\\"307\\\" y2=\\\"680\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"332\\\" y1=\\\"680\\\" x2=\\\"335\\\" y2=\\\"663\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"332\\\" y1=\\\"680\\\" x2=\\\"324\\\" y2=\\\"665\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"311\\\" y1=\\\"626\\\" x2=\\\"295\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"311\\\" y1=\\\"626\\\" x2=\\\"302\\\" y2=\\\"643\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"311\\\" y1=\\\"626\\\" x2=\\\"313\\\" y2=\\\"638\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"311\\\" y1=\\\"626\\\" x2=\\\"311\\\" y2=\\\"615\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"311\\\" y1=\\\"626\\\" x2=\\\"324\\\" y2=\\\"625\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"311\\\" y1=\\\"626\\\" x2=\\\"303\\\" y2=\\\"618\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"311\\\" y1=\\\"626\\\" x2=\\\"302\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"334\\\" y1=\\\"155\\\" x2=\\\"365\\\" y2=\\\"150\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"334\\\" y1=\\\"155\\\" x2=\\\"331\\\" y2=\\\"131\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"334\\\" y1=\\\"155\\\" x2=\\\"332\\\" y2=\\\"182\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"334\\\" y1=\\\"155\\\" x2=\\\"312\\\" y2=\\\"155\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"388\\\" y1=\\\"171\\\" x2=\\\"365\\\" y2=\\\"150\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"388\\\" y1=\\\"171\\\" x2=\\\"411\\\" y2=\\\"193\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"388\\\" y1=\\\"171\\\" x2=\\\"411\\\" y2=\\\"149\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"664\\\" y1=\\\"436\\\" x2=\\\"653\\\" y2=\\\"408\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"664\\\" y1=\\\"436\\\" x2=\\\"646\\\" y2=\\\"451\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"664\\\" y1=\\\"436\\\" x2=\\\"685\\\" y2=\\\"429\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"664\\\" y1=\\\"436\\\" x2=\\\"680\\\" y2=\\\"460\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"627\\\" y1=\\\"467\\\" x2=\\\"646\\\" y2=\\\"451\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"627\\\" y1=\\\"467\\\" x2=\\\"642\\\" y2=\\\"485\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"627\\\" y1=\\\"467\\\" x2=\\\"609\\\" y2=\\\"481\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"627\\\" y1=\\\"467\\\" x2=\\\"618\\\" y2=\\\"445\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"627\\\" y1=\\\"467\\\" x2=\\\"625\\\" y2=\\\"483\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"427\\\" y1=\\\"134\\\" x2=\\\"427\\\" y2=\\\"99\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"427\\\" y1=\\\"134\\\" x2=\\\"409\\\" y2=\\\"117\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"427\\\" y1=\\\"134\\\" x2=\\\"452\\\" y2=\\\"141\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"427\\\" y1=\\\"134\\\" x2=\\\"446\\\" y2=\\\"169\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"427\\\" y1=\\\"134\\\" x2=\\\"411\\\" y2=\\\"149\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"161\\\" y1=\\\"527\\\" x2=\\\"184\\\" y2=\\\"533\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"161\\\" y1=\\\"527\\\" x2=\\\"131\\\" y2=\\\"528\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"161\\\" y1=\\\"527\\\" x2=\\\"145\\\" y2=\\\"518\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"161\\\" y1=\\\"527\\\" x2=\\\"175\\\" y2=\\\"518\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"161\\\" y1=\\\"527\\\" x2=\\\"170\\\" y2=\\\"541\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"161\\\" y1=\\\"527\\\" x2=\\\"160\\\" y2=\\\"508\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"161\\\" y1=\\\"527\\\" x2=\\\"158\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"387\\\" x2=\\\"186\\\" y2=\\\"403\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"387\\\" x2=\\\"211\\\" y2=\\\"361\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"387\\\" x2=\\\"231\\\" y2=\\\"407\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"387\\\" x2=\\\"233\\\" y2=\\\"361\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"387\\\" x2=\\\"185\\\" y2=\\\"382\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"242\\\" y1=\\\"433\\\" x2=\\\"261\\\" y2=\\\"467\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"242\\\" y1=\\\"433\\\" x2=\\\"256\\\" y2=\\\"409\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"242\\\" y1=\\\"433\\\" x2=\\\"209\\\" y2=\\\"449\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"242\\\" y1=\\\"433\\\" x2=\\\"231\\\" y2=\\\"407\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"62\\\" y1=\\\"310\\\" x2=\\\"53\\\" y2=\\\"347\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"62\\\" y1=\\\"310\\\" x2=\\\"70\\\" y2=\\\"283\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"62\\\" y1=\\\"310\\\" x2=\\\"84\\\" y2=\\\"302\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"316\\\" y1=\\\"350\\\" x2=\\\"298\\\" y2=\\\"374\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"316\\\" y1=\\\"350\\\" x2=\\\"333\\\" y2=\\\"332\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"316\\\" y1=\\\"350\\\" x2=\\\"304\\\" y2=\\\"333\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"316\\\" y1=\\\"350\\\" x2=\\\"299\\\" y2=\\\"349\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"316\\\" y1=\\\"350\\\" x2=\\\"319\\\" y2=\\\"333\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"759\\\" x2=\\\"581\\\" y2=\\\"749\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"759\\\" x2=\\\"584\\\" y2=\\\"784\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"759\\\" x2=\\\"549\\\" y2=\\\"739\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"759\\\" x2=\\\"548\\\" y2=\\\"778\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"755\\\" y1=\\\"266\\\" x2=\\\"770\\\" y2=\\\"296\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"755\\\" y1=\\\"266\\\" x2=\\\"744\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"755\\\" y1=\\\"266\\\" x2=\\\"779\\\" y2=\\\"246\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"197\\\" y1=\\\"189\\\" x2=\\\"185\\\" y2=\\\"166\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"197\\\" y1=\\\"189\\\" x2=\\\"204\\\" y2=\\\"175\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"197\\\" y1=\\\"189\\\" x2=\\\"180\\\" y2=\\\"190\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"197\\\" y1=\\\"189\\\" x2=\\\"174\\\" y2=\\\"178\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"197\\\" y1=\\\"189\\\" x2=\\\"196\\\" y2=\\\"206\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"197\\\" y1=\\\"189\\\" x2=\\\"215\\\" y2=\\\"189\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"197\\\" y1=\\\"189\\\" x2=\\\"206\\\" y2=\\\"198\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"197\\\" y1=\\\"189\\\" x2=\\\"186\\\" y2=\\\"200\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"523\\\" y1=\\\"552\\\" x2=\\\"507\\\" y2=\\\"553\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"523\\\" y1=\\\"552\\\" x2=\\\"516\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"523\\\" y1=\\\"552\\\" x2=\\\"530\\\" y2=\\\"540\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"523\\\" y1=\\\"552\\\" x2=\\\"536\\\" y2=\\\"557\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"523\\\" y1=\\\"552\\\" x2=\\\"527\\\" y2=\\\"559\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"523\\\" y1=\\\"552\\\" x2=\\\"532\\\" y2=\\\"550\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"523\\\" y1=\\\"552\\\" x2=\\\"520\\\" y2=\\\"559\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"523\\\" y1=\\\"552\\\" x2=\\\"512\\\" y2=\\\"560\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"133\\\" y1=\\\"179\\\" x2=\\\"116\\\" y2=\\\"193\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"133\\\" y1=\\\"179\\\" x2=\\\"147\\\" y2=\\\"167\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"133\\\" y1=\\\"179\\\" x2=\\\"140\\\" y2=\\\"198\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"87\\\" x2=\\\"225\\\" y2=\\\"98\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"87\\\" x2=\\\"269\\\" y2=\\\"109\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"87\\\" x2=\\\"269\\\" y2=\\\"88\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"523\\\" y1=\\\"169\\\" x2=\\\"497\\\" y2=\\\"157\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"523\\\" y1=\\\"169\\\" x2=\\\"541\\\" y2=\\\"158\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"523\\\" y1=\\\"169\\\" x2=\\\"512\\\" y2=\\\"183\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"523\\\" y1=\\\"169\\\" x2=\\\"541\\\" y2=\\\"169\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"523\\\" y1=\\\"169\\\" x2=\\\"529\\\" y2=\\\"185\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"523\\\" y1=\\\"169\\\" x2=\\\"505\\\" y2=\\\"174\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"201\\\" x2=\\\"547\\\" y2=\\\"213\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"201\\\" x2=\\\"518\\\" y2=\\\"199\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"201\\\" x2=\\\"547\\\" y2=\\\"185\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"201\\\" x2=\\\"529\\\" y2=\\\"185\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"201\\\" x2=\\\"533\\\" y2=\\\"216\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"201\\\" x2=\\\"523\\\" y2=\\\"210\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"201\\\" x2=\\\"546\\\" y2=\\\"202\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"687\\\" y1=\\\"674\\\" x2=\\\"664\\\" y2=\\\"665\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"687\\\" y1=\\\"674\\\" x2=\\\"679\\\" y2=\\\"695\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"687\\\" y1=\\\"674\\\" x2=\\\"675\\\" y2=\\\"644\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"687\\\" y1=\\\"674\\\" x2=\\\"715\\\" y2=\\\"656\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"358\\\" x2=\\\"645\\\" y2=\\\"360\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"358\\\" x2=\\\"619\\\" y2=\\\"379\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"358\\\" x2=\\\"634\\\" y2=\\\"348\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"358\\\" x2=\\\"609\\\" y2=\\\"348\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"358\\\" x2=\\\"622\\\" y2=\\\"339\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"358\\\" x2=\\\"611\\\" y2=\\\"359\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"358\\\" x2=\\\"609\\\" y2=\\\"369\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"385\\\" y1=\\\"671\\\" x2=\\\"358\\\" y2=\\\"670\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"385\\\" y1=\\\"671\\\" x2=\\\"402\\\" y2=\\\"654\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"385\\\" y1=\\\"671\\\" x2=\\\"363\\\" y2=\\\"646\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"770\\\" y1=\\\"296\\\" x2=\\\"785\\\" y2=\\\"329\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"691\\\" y1=\\\"479\\\" x2=\\\"713\\\" y2=\\\"466\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"691\\\" y1=\\\"479\\\" x2=\\\"701\\\" y2=\\\"500\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"691\\\" y1=\\\"479\\\" x2=\\\"680\\\" y2=\\\"460\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"691\\\" y1=\\\"479\\\" x2=\\\"665\\\" y2=\\\"488\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"349\\\" y1=\\\"317\\\" x2=\\\"368\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"349\\\" y1=\\\"317\\\" x2=\\\"333\\\" y2=\\\"332\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"349\\\" y1=\\\"317\\\" x2=\\\"348\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"349\\\" y1=\\\"317\\\" x2=\\\"333\\\" y2=\\\"317\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"349\\\" y1=\\\"317\\\" x2=\\\"339\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"107\\\" y1=\\\"357\\\" x2=\\\"123\\\" y2=\\\"392\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"107\\\" y1=\\\"357\\\" x2=\\\"80\\\" y2=\\\"363\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"107\\\" y1=\\\"357\\\" x2=\\\"129\\\" y2=\\\"345\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"107\\\" y1=\\\"357\\\" x2=\\\"105\\\" y2=\\\"335\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"53\\\" y1=\\\"347\\\" x2=\\\"80\\\" y2=\\\"363\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"70\\\" y1=\\\"536\\\" x2=\\\"70\\\" y2=\\\"567\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"70\\\" y1=\\\"536\\\" x2=\\\"59\\\" y2=\\\"516\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"70\\\" y1=\\\"536\\\" x2=\\\"37\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"70\\\" y1=\\\"536\\\" x2=\\\"90\\\" y2=\\\"527\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"402\\\" y1=\\\"609\\\" x2=\\\"426\\\" y2=\\\"594\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"402\\\" y1=\\\"609\\\" x2=\\\"400\\\" y2=\\\"585\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"402\\\" y1=\\\"609\\\" x2=\\\"379\\\" y2=\\\"613\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"402\\\" y1=\\\"609\\\" x2=\\\"406\\\" y2=\\\"633\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"317\\\" y1=\\\"488\\\" x2=\\\"296\\\" y2=\\\"463\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"317\\\" y1=\\\"488\\\" x2=\\\"299\\\" y2=\\\"489\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"317\\\" y1=\\\"488\\\" x2=\\\"312\\\" y2=\\\"503\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"317\\\" y1=\\\"488\\\" x2=\\\"326\\\" y2=\\\"501\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"353\\\" y1=\\\"784\\\" x2=\\\"320\\\" y2=\\\"779\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"353\\\" y1=\\\"784\\\" x2=\\\"375\\\" y2=\\\"759\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"483\\\" y1=\\\"132\\\" x2=\\\"497\\\" y2=\\\"157\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"483\\\" y1=\\\"132\\\" x2=\\\"494\\\" y2=\\\"108\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"483\\\" y1=\\\"132\\\" x2=\\\"452\\\" y2=\\\"141\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"427\\\" y1=\\\"99\\\" x2=\\\"409\\\" y2=\\\"117\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"427\\\" y1=\\\"99\\\" x2=\\\"415\\\" y2=\\\"79\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"427\\\" y1=\\\"99\\\" x2=\\\"448\\\" y2=\\\"94\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"519\\\" x2=\\\"245\\\" y2=\\\"512\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"519\\\" x2=\\\"257\\\" y2=\\\"506\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"519\\\" x2=\\\"271\\\" y2=\\\"517\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"519\\\" x2=\\\"249\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"519\\\" x2=\\\"259\\\" y2=\\\"532\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"519\\\" x2=\\\"269\\\" y2=\\\"504\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"519\\\" x2=\\\"264\\\" y2=\\\"526\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"519\\\" x2=\\\"254\\\" y2=\\\"527\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"574\\\" y1=\\\"80\\\" x2=\\\"598\\\" y2=\\\"89\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"574\\\" y1=\\\"80\\\" x2=\\\"557\\\" y2=\\\"67\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"574\\\" y1=\\\"80\\\" x2=\\\"558\\\" y2=\\\"94\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"431\\\" x2=\\\"620\\\" y2=\\\"400\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"431\\\" x2=\\\"591\\\" y2=\\\"406\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"431\\\" x2=\\\"574\\\" y2=\\\"446\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"599\\\" y1=\\\"431\\\" x2=\\\"618\\\" y2=\\\"445\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"489\\\" y1=\\\"684\\\" x2=\\\"488\\\" y2=\\\"710\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"489\\\" y1=\\\"684\\\" x2=\\\"515\\\" y2=\\\"678\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"489\\\" y1=\\\"684\\\" x2=\\\"501\\\" y2=\\\"660\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"489\\\" y1=\\\"684\\\" x2=\\\"472\\\" y2=\\\"672\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"460\\\" y1=\\\"627\\\" x2=\\\"476\\\" y2=\\\"608\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"460\\\" y1=\\\"627\\\" x2=\\\"482\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"460\\\" y1=\\\"627\\\" x2=\\\"439\\\" y2=\\\"610\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"460\\\" y1=\\\"627\\\" x2=\\\"456\\\" y2=\\\"648\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"452\\\" y1=\\\"668\\\" x2=\\\"429\\\" y2=\\\"697\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"452\\\" y1=\\\"668\\\" x2=\\\"435\\\" y2=\\\"651\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"452\\\" y1=\\\"668\\\" x2=\\\"456\\\" y2=\\\"648\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"452\\\" y1=\\\"668\\\" x2=\\\"472\\\" y2=\\\"672\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"488\\\" y1=\\\"268\\\" x2=\\\"462\\\" y2=\\\"268\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"488\\\" y1=\\\"268\\\" x2=\\\"474\\\" y2=\\\"258\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"488\\\" y1=\\\"268\\\" x2=\\\"494\\\" y2=\\\"282\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"488\\\" y1=\\\"268\\\" x2=\\\"495\\\" y2=\\\"254\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"488\\\" y1=\\\"268\\\" x2=\\\"501\\\" y2=\\\"270\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"488\\\" y1=\\\"268\\\" x2=\\\"483\\\" y2=\\\"287\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"488\\\" y1=\\\"268\\\" x2=\\\"486\\\" y2=\\\"258\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"188\\\" y1=\\\"140\\\" x2=\\\"185\\\" y2=\\\"166\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"188\\\" y1=\\\"140\\\" x2=\\\"170\\\" y2=\\\"107\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"188\\\" y1=\\\"140\\\" x2=\\\"191\\\" y2=\\\"117\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"188\\\" y1=\\\"140\\\" x2=\\\"223\\\" y2=\\\"141\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"320\\\" y1=\\\"779\\\" x2=\\\"317\\\" y2=\\\"754\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"320\\\" y1=\\\"779\\\" x2=\\\"299\\\" y2=\\\"779\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"634\\\" y1=\\\"131\\\" x2=\\\"658\\\" y2=\\\"128\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"634\\\" y1=\\\"131\\\" x2=\\\"632\\\" y2=\\\"107\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"634\\\" y1=\\\"131\\\" x2=\\\"634\\\" y2=\\\"154\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"158\\\" y1=\\\"344\\\" x2=\\\"164\\\" y2=\\\"319\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"158\\\" y1=\\\"344\\\" x2=\\\"129\\\" y2=\\\"345\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"158\\\" y1=\\\"344\\\" x2=\\\"159\\\" y2=\\\"366\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"158\\\" y1=\\\"344\\\" x2=\\\"177\\\" y2=\\\"335\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"164\\\" y1=\\\"387\\\" x2=\\\"186\\\" y2=\\\"403\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"164\\\" y1=\\\"387\\\" x2=\\\"143\\\" y2=\\\"407\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"164\\\" y1=\\\"387\\\" x2=\\\"159\\\" y2=\\\"366\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"164\\\" y1=\\\"387\\\" x2=\\\"185\\\" y2=\\\"382\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"359\\\" y1=\\\"220\\\" x2=\\\"397\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"359\\\" y1=\\\"220\\\" x2=\\\"366\\\" y2=\\\"242\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"359\\\" y1=\\\"220\\\" x2=\\\"357\\\" y2=\\\"201\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"359\\\" y1=\\\"220\\\" x2=\\\"343\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"359\\\" y1=\\\"220\\\" x2=\\\"351\\\" y2=\\\"211\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"359\\\" y1=\\\"220\\\" x2=\\\"355\\\" y2=\\\"230\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"348\\\" y1=\\\"573\\\" x2=\\\"362\\\" y2=\\\"581\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"348\\\" y1=\\\"573\\\" x2=\\\"356\\\" y2=\\\"547\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"348\\\" y1=\\\"573\\\" x2=\\\"343\\\" y2=\\\"558\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"348\\\" y1=\\\"573\\\" x2=\\\"331\\\" y2=\\\"561\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"348\\\" y1=\\\"573\\\" x2=\\\"342\\\" y2=\\\"588\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"348\\\" y1=\\\"573\\\" x2=\\\"336\\\" y2=\\\"577\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"348\\\" y1=\\\"573\\\" x2=\\\"353\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"348\\\" y1=\\\"573\\\" x2=\\\"367\\\" y2=\\\"572\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"338\\\" y1=\\\"719\\\" x2=\\\"365\\\" y2=\\\"736\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"338\\\" y1=\\\"719\\\" x2=\\\"313\\\" y2=\\\"733\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"365\\\" y1=\\\"736\\\" x2=\\\"375\\\" y2=\\\"759\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"365\\\" y1=\\\"736\\\" x2=\\\"384\\\" y2=\\\"721\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"538\\\" x2=\\\"223\\\" y2=\\\"541\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"538\\\" x2=\\\"198\\\" y2=\\\"523\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"538\\\" x2=\\\"193\\\" y2=\\\"546\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"538\\\" x2=\\\"218\\\" y2=\\\"521\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"538\\\" x2=\\\"205\\\" y2=\\\"550\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"538\\\" x2=\\\"195\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"538\\\" x2=\\\"208\\\" y2=\\\"521\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"538\\\" x2=\\\"223\\\" y2=\\\"531\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"538\\\" x2=\\\"218\\\" y2=\\\"550\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"484\\\" x2=\\\"209\\\" y2=\\\"449\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"484\\\" x2=\\\"184\\\" y2=\\\"486\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"484\\\" x2=\\\"209\\\" y2=\\\"505\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"484\\\" x2=\\\"228\\\" y2=\\\"485\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"484\\\" x2=\\\"198\\\" y2=\\\"497\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"484\\\" x2=\\\"219\\\" y2=\\\"495\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"121\\\" y1=\\\"264\\\" x2=\\\"126\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"121\\\" y1=\\\"264\\\" x2=\\\"121\\\" y2=\\\"240\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"121\\\" y1=\\\"264\\\" x2=\\\"137\\\" y2=\\\"277\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"309\\\" y1=\\\"288\\\" x2=\\\"304\\\" y2=\\\"274\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"309\\\" y1=\\\"288\\\" x2=\\\"294\\\" y2=\\\"291\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"309\\\" y1=\\\"288\\\" x2=\\\"313\\\" y2=\\\"303\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"309\\\" y1=\\\"288\\\" x2=\\\"298\\\" y2=\\\"305\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"309\\\" y1=\\\"288\\\" x2=\\\"319\\\" y2=\\\"293\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"309\\\" y1=\\\"288\\\" x2=\\\"313\\\" y2=\\\"279\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"309\\\" y1=\\\"288\\\" x2=\\\"324\\\" y2=\\\"284\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"309\\\" y1=\\\"288\\\" x2=\\\"299\\\" y2=\\\"283\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"675\\\" y1=\\\"622\\\" x2=\\\"675\\\" y2=\\\"644\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"675\\\" y1=\\\"622\\\" x2=\\\"684\\\" y2=\\\"609\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"675\\\" y1=\\\"622\\\" x2=\\\"664\\\" y2=\\\"632\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"675\\\" y1=\\\"622\\\" x2=\\\"658\\\" y2=\\\"615\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"675\\\" y1=\\\"622\\\" x2=\\\"672\\\" y2=\\\"610\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"675\\\" y1=\\\"622\\\" x2=\\\"692\\\" y2=\\\"618\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"91\\\" y1=\\\"417\\\" x2=\\\"105\\\" y2=\\\"437\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"91\\\" y1=\\\"417\\\" x2=\\\"68\\\" y2=\\\"440\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"91\\\" y1=\\\"417\\\" x2=\\\"76\\\" y2=\\\"400\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"91\\\" y1=\\\"417\\\" x2=\\\"108\\\" y2=\\\"406\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"50\\\" y1=\\\"494\\\" x2=\\\"71\\\" y2=\\\"477\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"50\\\" y1=\\\"494\\\" x2=\\\"59\\\" y2=\\\"516\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"208\\\" y1=\\\"620\\\" x2=\\\"195\\\" y2=\\\"611\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"208\\\" y1=\\\"620\\\" x2=\\\"213\\\" y2=\\\"635\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"208\\\" y1=\\\"620\\\" x2=\\\"202\\\" y2=\\\"602\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"208\\\" y1=\\\"620\\\" x2=\\\"191\\\" y2=\\\"622\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"208\\\" y1=\\\"620\\\" x2=\\\"219\\\" y2=\\\"609\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"208\\\" y1=\\\"620\\\" x2=\\\"203\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"208\\\" y1=\\\"620\\\" x2=\\\"216\\\" y2=\\\"619\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"208\\\" y1=\\\"620\\\" x2=\\\"216\\\" y2=\\\"625\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"320\\\" x2=\\\"611\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"320\\\" x2=\\\"634\\\" y2=\\\"329\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"320\\\" x2=\\\"609\\\" y2=\\\"329\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"320\\\" x2=\\\"630\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"320\\\" x2=\\\"622\\\" y2=\\\"339\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"320\\\" x2=\\\"633\\\" y2=\\\"318\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"320\\\" x2=\\\"607\\\" y2=\\\"318\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"320\\\" x2=\\\"620\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"358\\\" y1=\\\"623\\\" x2=\\\"363\\\" y2=\\\"646\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"358\\\" y1=\\\"623\\\" x2=\\\"379\\\" y2=\\\"613\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"358\\\" y1=\\\"623\\\" x2=\\\"349\\\" y2=\\\"634\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"358\\\" y1=\\\"623\\\" x2=\\\"347\\\" y2=\\\"613\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"358\\\" y1=\\\"623\\\" x2=\\\"358\\\" y2=\\\"612\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"358\\\" y1=\\\"623\\\" x2=\\\"348\\\" y2=\\\"623\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"358\\\" y1=\\\"623\\\" x2=\\\"368\\\" y2=\\\"607\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"668\\\" y1=\\\"362\\\" x2=\\\"686\\\" y2=\\\"336\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"668\\\" y1=\\\"362\\\" x2=\\\"684\\\" y2=\\\"382\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"668\\\" y1=\\\"362\\\" x2=\\\"645\\\" y2=\\\"360\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"668\\\" y1=\\\"362\\\" x2=\\\"663\\\" y2=\\\"389\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"668\\\" y1=\\\"362\\\" x2=\\\"666\\\" y2=\\\"337\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"733\\\" y1=\\\"532\\\" x2=\\\"723\\\" y2=\\\"512\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"733\\\" y1=\\\"532\\\" x2=\\\"718\\\" y2=\\\"550\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"686\\\" y1=\\\"336\\\" x2=\\\"708\\\" y2=\\\"337\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"686\\\" y1=\\\"336\\\" x2=\\\"690\\\" y2=\\\"302\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"686\\\" y1=\\\"336\\\" x2=\\\"666\\\" y2=\\\"337\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"365\\\" y1=\\\"150\\\" x2=\\\"379\\\" y2=\\\"116\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"365\\\" y1=\\\"150\\\" x2=\\\"331\\\" y2=\\\"131\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"470\\\" y1=\\\"88\\\" x2=\\\"494\\\" y2=\\\"108\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"470\\\" y1=\\\"88\\\" x2=\\\"448\\\" y2=\\\"94\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"608\\\" x2=\\\"545\\\" y2=\\\"611\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"608\\\" x2=\\\"545\\\" y2=\\\"623\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"608\\\" x2=\\\"535\\\" y2=\\\"594\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"608\\\" x2=\\\"515\\\" y2=\\\"608\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"608\\\" x2=\\\"515\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"608\\\" x2=\\\"521\\\" y2=\\\"595\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"608\\\" x2=\\\"530\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"608\\\" x2=\\\"540\\\" y2=\\\"603\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"126\\\" y1=\\\"294\\\" x2=\\\"103\\\" y2=\\\"313\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"126\\\" y1=\\\"294\\\" x2=\\\"137\\\" y2=\\\"277\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"126\\\" y1=\\\"294\\\" x2=\\\"149\\\" y2=\\\"304\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"103\\\" y1=\\\"313\\\" x2=\\\"105\\\" y2=\\\"335\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"103\\\" y1=\\\"313\\\" x2=\\\"84\\\" y2=\\\"302\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"521\\\" y1=\\\"104\\\" x2=\\\"494\\\" y2=\\\"108\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"521\\\" y1=\\\"104\\\" x2=\\\"520\\\" y2=\\\"68\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"521\\\" y1=\\\"104\\\" x2=\\\"544\\\" y2=\\\"113\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"231\\\" x2=\\\"516\\\" y2=\\\"235\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"231\\\" x2=\\\"533\\\" y2=\\\"216\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"231\\\" x2=\\\"521\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"231\\\" x2=\\\"526\\\" y2=\\\"241\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"231\\\" x2=\\\"540\\\" y2=\\\"237\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"231\\\" x2=\\\"533\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"231\\\" x2=\\\"538\\\" y2=\\\"230\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"231\\\" x2=\\\"539\\\" y2=\\\"222\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"717\\\" x2=\\\"520\\\" y2=\\\"730\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"717\\\" x2=\\\"549\\\" y2=\\\"739\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"717\\\" x2=\\\"534\\\" y2=\\\"697\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"717\\\" x2=\\\"564\\\" y2=\\\"707\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"583\\\" y1=\\\"699\\\" x2=\\\"609\\\" y2=\\\"713\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"583\\\" y1=\\\"699\\\" x2=\\\"590\\\" y2=\\\"677\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"583\\\" y1=\\\"699\\\" x2=\\\"589\\\" y2=\\\"720\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"583\\\" y1=\\\"699\\\" x2=\\\"564\\\" y2=\\\"707\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"583\\\" y1=\\\"699\\\" x2=\\\"597\\\" y2=\\\"693\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"583\\\" y1=\\\"699\\\" x2=\\\"571\\\" y2=\\\"683\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"707\\\" y1=\\\"391\\\" x2=\\\"684\\\" y2=\\\"382\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"707\\\" y1=\\\"391\\\" x2=\\\"722\\\" y2=\\\"372\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"707\\\" y1=\\\"391\\\" x2=\\\"703\\\" y2=\\\"414\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"707\\\" y1=\\\"391\\\" x2=\\\"731\\\" y2=\\\"392\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"282\\\" y1=\\\"69\\\" x2=\\\"308\\\" y2=\\\"62\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"282\\\" y1=\\\"69\\\" x2=\\\"303\\\" y2=\\\"83\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"282\\\" y1=\\\"69\\\" x2=\\\"269\\\" y2=\\\"88\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"138\\\" x2=\\\"580\\\" y2=\\\"145\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"138\\\" x2=\\\"544\\\" y2=\\\"113\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"138\\\" x2=\\\"541\\\" y2=\\\"158\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"580\\\" y1=\\\"145\\\" x2=\\\"592\\\" y2=\\\"167\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"580\\\" y1=\\\"145\\\" x2=\\\"589\\\" y2=\\\"124\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"580\\\" y1=\\\"145\\\" x2=\\\"575\\\" y2=\\\"168\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"721\\\" y1=\\\"191\\\" x2=\\\"701\\\" y2=\\\"206\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"721\\\" y1=\\\"191\\\" x2=\\\"705\\\" y2=\\\"168\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"721\\\" y1=\\\"191\\\" x2=\\\"741\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"752\\\" y1=\\\"429\\\" x2=\\\"753\\\" y2=\\\"402\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"752\\\" y1=\\\"429\\\" x2=\\\"722\\\" y2=\\\"439\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"752\\\" y1=\\\"429\\\" x2=\\\"761\\\" y2=\\\"449\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"752\\\" y1=\\\"429\\\" x2=\\\"770\\\" y2=\\\"416\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"755\\\" y1=\\\"587\\\" x2=\\\"757\\\" y2=\\\"565\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"203\\\" x2=\\\"262\\\" y2=\\\"188\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"203\\\" x2=\\\"246\\\" y2=\\\"196\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"203\\\" x2=\\\"273\\\" y2=\\\"200\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"203\\\" x2=\\\"252\\\" y2=\\\"187\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"203\\\" x2=\\\"259\\\" y2=\\\"214\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"203\\\" x2=\\\"264\\\" y2=\\\"209\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"203\\\" x2=\\\"254\\\" y2=\\\"209\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"203\\\" x2=\\\"248\\\" y2=\\\"205\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"300\\\" x2=\\\"545\\\" y2=\\\"297\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"300\\\" x2=\\\"516\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"300\\\" x2=\\\"526\\\" y2=\\\"314\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"300\\\" x2=\\\"523\\\" y2=\\\"287\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"300\\\" x2=\\\"538\\\" y2=\\\"313\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"300\\\" x2=\\\"540\\\" y2=\\\"289\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"300\\\" x2=\\\"531\\\" y2=\\\"288\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"309\\\" y1=\\\"551\\\" x2=\\\"294\\\" y2=\\\"548\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"309\\\" y1=\\\"551\\\" x2=\\\"304\\\" y2=\\\"565\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"309\\\" y1=\\\"551\\\" x2=\\\"323\\\" y2=\\\"547\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"309\\\" y1=\\\"551\\\" x2=\\\"308\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"309\\\" y1=\\\"551\\\" x2=\\\"316\\\" y2=\\\"566\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"309\\\" y1=\\\"551\\\" x2=\\\"299\\\" y2=\\\"557\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"210\\\" y1=\\\"288\\\" x2=\\\"225\\\" y2=\\\"291\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"210\\\" y1=\\\"288\\\" x2=\\\"215\\\" y2=\\\"274\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"210\\\" y1=\\\"288\\\" x2=\\\"199\\\" y2=\\\"298\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"210\\\" y1=\\\"288\\\" x2=\\\"215\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"210\\\" y1=\\\"288\\\" x2=\\\"196\\\" y2=\\\"286\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"210\\\" y1=\\\"288\\\" x2=\\\"204\\\" y2=\\\"279\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"210\\\" y1=\\\"288\\\" x2=\\\"220\\\" y2=\\\"282\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"148\\\" y1=\\\"216\\\" x2=\\\"169\\\" y2=\\\"234\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"148\\\" y1=\\\"216\\\" x2=\\\"121\\\" y2=\\\"240\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"148\\\" y1=\\\"216\\\" x2=\\\"116\\\" y2=\\\"193\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"148\\\" y1=\\\"216\\\" x2=\\\"156\\\" y2=\\\"204\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"148\\\" y1=\\\"216\\\" x2=\\\"140\\\" y2=\\\"198\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"148\\\" y1=\\\"216\\\" x2=\\\"161\\\" y2=\\\"214\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"429\\\" y1=\\\"697\\\" x2=\\\"457\\\" y2=\\\"725\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"429\\\" y1=\\\"697\\\" x2=\\\"406\\\" y2=\\\"725\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"667\\\" x2=\\\"664\\\" y2=\\\"665\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"667\\\" x2=\\\"634\\\" y2=\\\"690\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"667\\\" x2=\\\"624\\\" y2=\\\"677\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"667\\\" x2=\\\"645\\\" y2=\\\"655\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"667\\\" x2=\\\"626\\\" y2=\\\"658\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"253\\\" y1=\\\"352\\\" x2=\\\"267\\\" y2=\\\"376\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"253\\\" y1=\\\"352\\\" x2=\\\"233\\\" y2=\\\"361\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"253\\\" y1=\\\"352\\\" x2=\\\"268\\\" y2=\\\"350\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"253\\\" y1=\\\"352\\\" x2=\\\"275\\\" y2=\\\"362\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"253\\\" y1=\\\"352\\\" x2=\\\"240\\\" y2=\\\"346\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"253\\\" y1=\\\"352\\\" x2=\\\"256\\\" y2=\\\"338\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"571\\\" y1=\\\"322\\\" x2=\\\"563\\\" y2=\\\"335\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"571\\\" y1=\\\"322\\\" x2=\\\"584\\\" y2=\\\"330\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"571\\\" y1=\\\"322\\\" x2=\\\"558\\\" y2=\\\"324\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"571\\\" y1=\\\"322\\\" x2=\\\"581\\\" y2=\\\"319\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"571\\\" y1=\\\"322\\\" x2=\\\"572\\\" y2=\\\"332\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"571\\\" y1=\\\"322\\\" x2=\\\"575\\\" y2=\\\"308\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"571\\\" y1=\\\"322\\\" x2=\\\"568\\\" y2=\\\"315\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"571\\\" y1=\\\"322\\\" x2=\\\"562\\\" y2=\\\"316\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"501\\\" y1=\\\"52\\\" x2=\\\"520\\\" y2=\\\"68\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"783\\\" y1=\\\"502\\\" x2=\\\"780\\\" y2=\\\"526\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"783\\\" y1=\\\"502\\\" x2=\\\"815\\\" y2=\\\"479\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"783\\\" y1=\\\"502\\\" x2=\\\"795\\\" y2=\\\"466\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"783\\\" y1=\\\"502\\\" x2=\\\"807\\\" y2=\\\"518\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"702\\\" y1=\\\"283\\\" x2=\\\"692\\\" y2=\\\"263\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"702\\\" y1=\\\"283\\\" x2=\\\"690\\\" y2=\\\"302\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"701\\\" y1=\\\"242\\\" x2=\\\"677\\\" y2=\\\"245\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"701\\\" y1=\\\"242\\\" x2=\\\"701\\\" y2=\\\"206\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"701\\\" y1=\\\"242\\\" x2=\\\"692\\\" y2=\\\"263\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"744\\\" y1=\\\"239\\\" x2=\\\"779\\\" y2=\\\"246\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"744\\\" y1=\\\"239\\\" x2=\\\"741\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"438\\\" y1=\\\"192\\\" x2=\\\"411\\\" y2=\\\"193\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"438\\\" y1=\\\"192\\\" x2=\\\"446\\\" y2=\\\"169\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"438\\\" y1=\\\"192\\\" x2=\\\"459\\\" y2=\\\"186\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"438\\\" y1=\\\"192\\\" x2=\\\"443\\\" y2=\\\"212\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"366\\\" y1=\\\"95\\\" x2=\\\"379\\\" y2=\\\"116\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"366\\\" y1=\\\"95\\\" x2=\\\"337\\\" y2=\\\"104\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"366\\\" y1=\\\"95\\\" x2=\\\"346\\\" y2=\\\"77\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"366\\\" y1=\\\"95\\\" x2=\\\"381\\\" y2=\\\"79\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"280\\\" y1=\\\"126\\\" x2=\\\"290\\\" y2=\\\"157\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"280\\\" y1=\\\"126\\\" x2=\\\"313\\\" y2=\\\"107\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"280\\\" y1=\\\"126\\\" x2=\\\"267\\\" y2=\\\"148\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"280\\\" y1=\\\"126\\\" x2=\\\"269\\\" y2=\\\"109\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"242\\\" y1=\\\"150\\\" x2=\\\"267\\\" y2=\\\"148\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"242\\\" y1=\\\"150\\\" x2=\\\"223\\\" y2=\\\"141\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"242\\\" y1=\\\"150\\\" x2=\\\"244\\\" y2=\\\"171\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"242\\\" y1=\\\"150\\\" x2=\\\"228\\\" y2=\\\"165\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"242\\\" y1=\\\"150\\\" x2=\\\"254\\\" y2=\\\"161\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"159\\\" y1=\\\"690\\\" x2=\\\"171\\\" y2=\\\"669\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"159\\\" y1=\\\"690\\\" x2=\\\"174\\\" y2=\\\"708\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"204\\\" x2=\\\"591\\\" y2=\\\"196\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"204\\\" x2=\\\"586\\\" y2=\\\"187\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"204\\\" x2=\\\"568\\\" y2=\\\"204\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"204\\\" x2=\\\"574\\\" y2=\\\"196\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"204\\\" x2=\\\"579\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"204\\\" x2=\\\"584\\\" y2=\\\"210\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"204\\\" x2=\\\"574\\\" y2=\\\"210\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"204\\\" x2=\\\"588\\\" y2=\\\"205\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"290\\\" y1=\\\"157\\\" x2=\\\"267\\\" y2=\\\"148\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"290\\\" y1=\\\"157\\\" x2=\\\"312\\\" y2=\\\"155\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"290\\\" y1=\\\"157\\\" x2=\\\"278\\\" y2=\\\"165\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"290\\\" y1=\\\"157\\\" x2=\\\"300\\\" y2=\\\"168\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"290\\\" y1=\\\"157\\\" x2=\\\"289\\\" y2=\\\"177\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"506\\\" y1=\\\"638\\\" x2=\\\"482\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"506\\\" y1=\\\"638\\\" x2=\\\"501\\\" y2=\\\"660\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"506\\\" y1=\\\"638\\\" x2=\\\"518\\\" y2=\\\"647\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"506\\\" y1=\\\"638\\\" x2=\\\"503\\\" y2=\\\"623\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"506\\\" y1=\\\"638\\\" x2=\\\"515\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"506\\\" y1=\\\"638\\\" x2=\\\"518\\\" y2=\\\"635\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"425\\\" y1=\\\"43\\\" x2=\\\"449\\\" y2=\\\"47\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"425\\\" y1=\\\"43\\\" x2=\\\"415\\\" y2=\\\"79\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"106\\\" y1=\\\"624\\\" x2=\\\"124\\\" y2=\\\"608\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"106\\\" y1=\\\"624\\\" x2=\\\"124\\\" y2=\\\"653\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"106\\\" y1=\\\"624\\\" x2=\\\"90\\\" y2=\\\"612\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"313\\\" y1=\\\"733\\\" x2=\\\"283\\\" y2=\\\"715\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"313\\\" y1=\\\"733\\\" x2=\\\"285\\\" y2=\\\"738\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"313\\\" y1=\\\"733\\\" x2=\\\"317\\\" y2=\\\"754\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"197\\\" x2=\\\"283\\\" y2=\\\"211\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"197\\\" x2=\\\"276\\\" y2=\\\"185\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"197\\\" x2=\\\"298\\\" y2=\\\"188\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"197\\\" x2=\\\"273\\\" y2=\\\"200\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"197\\\" x2=\\\"289\\\" y2=\\\"177\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"197\\\" x2=\\\"295\\\" y2=\\\"207\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"197\\\" x2=\\\"302\\\" y2=\\\"199\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"155\\\" y1=\\\"611\\\" x2=\\\"124\\\" y2=\\\"608\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"155\\\" y1=\\\"611\\\" x2=\\\"154\\\" y2=\\\"641\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"155\\\" y1=\\\"611\\\" x2=\\\"174\\\" y2=\\\"623\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"155\\\" y1=\\\"611\\\" x2=\\\"168\\\" y2=\\\"607\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"155\\\" y1=\\\"611\\\" x2=\\\"160\\\" y2=\\\"598\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"620\\\" y1=\\\"400\\\" x2=\\\"653\\\" y2=\\\"408\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"620\\\" y1=\\\"400\\\" x2=\\\"591\\\" y2=\\\"406\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"620\\\" y1=\\\"400\\\" x2=\\\"619\\\" y2=\\\"379\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"261\\\" y1=\\\"467\\\" x2=\\\"255\\\" y2=\\\"493\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"261\\\" y1=\\\"467\\\" x2=\\\"243\\\" y2=\\\"479\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"261\\\" y1=\\\"467\\\" x2=\\\"271\\\" y2=\\\"478\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"261\\\" y1=\\\"467\\\" x2=\\\"279\\\" y2=\\\"465\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"296\\\" y1=\\\"463\\\" x2=\\\"302\\\" y2=\\\"442\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"296\\\" y1=\\\"463\\\" x2=\\\"299\\\" y2=\\\"489\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"296\\\" y1=\\\"463\\\" x2=\\\"279\\\" y2=\\\"465\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"223\\\" x2=\\\"614\\\" y2=\\\"224\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"223\\\" x2=\\\"624\\\" y2=\\\"241\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"223\\\" x2=\\\"634\\\" y2=\\\"208\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"223\\\" x2=\\\"641\\\" y2=\\\"232\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"223\\\" x2=\\\"642\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"223\\\" x2=\\\"621\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"223\\\" x2=\\\"619\\\" y2=\\\"232\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"536\\\" y1=\\\"396\\\" x2=\\\"542\\\" y2=\\\"375\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"536\\\" y1=\\\"396\\\" x2=\\\"549\\\" y2=\\\"413\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"112\\\" y1=\\\"532\\\" x2=\\\"120\\\" y2=\\\"570\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"112\\\" y1=\\\"532\\\" x2=\\\"103\\\" y2=\\\"509\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"112\\\" y1=\\\"532\\\" x2=\\\"90\\\" y2=\\\"527\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"112\\\" y1=\\\"532\\\" x2=\\\"131\\\" y2=\\\"528\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"194\\\" y1=\\\"717\\\" x2=\\\"212\\\" y2=\\\"700\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"194\\\" y1=\\\"717\\\" x2=\\\"174\\\" y2=\\\"708\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"547\\\" y1=\\\"799\\\" x2=\\\"527\\\" y2=\\\"780\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"547\\\" y1=\\\"799\\\" x2=\\\"548\\\" y2=\\\"778\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"123\\\" y1=\\\"392\\\" x2=\\\"143\\\" y2=\\\"407\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"123\\\" y1=\\\"392\\\" x2=\\\"108\\\" y2=\\\"406\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"411\\\" y1=\\\"244\\\" x2=\\\"437\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"411\\\" y1=\\\"244\\\" x2=\\\"397\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"411\\\" y1=\\\"244\\\" x2=\\\"399\\\" y2=\\\"263\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"747\\\" x2=\\\"269\\\" y2=\\\"760\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"747\\\" x2=\\\"243\\\" y2=\\\"727\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"747\\\" x2=\\\"237\\\" y2=\\\"775\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"80\\\" y1=\\\"363\\\" x2=\\\"76\\\" y2=\\\"400\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"497\\\" y1=\\\"157\\\" x2=\\\"486\\\" y2=\\\"178\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"497\\\" y1=\\\"157\\\" x2=\\\"505\\\" y2=\\\"174\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"321\\\" x2=\\\"283\\\" y2=\\\"308\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"321\\\" x2=\\\"285\\\" y2=\\\"335\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"321\\\" x2=\\\"302\\\" y2=\\\"319\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"321\\\" x2=\\\"273\\\" y2=\\\"322\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"321\\\" x2=\\\"298\\\" y2=\\\"305\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"321\\\" x2=\\\"295\\\" y2=\\\"327\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"321\\\" x2=\\\"278\\\" y2=\\\"315\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"298\\\" y1=\\\"374\\\" x2=\\\"267\\\" y2=\\\"376\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"298\\\" y1=\\\"374\\\" x2=\\\"303\\\" y2=\\\"394\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"298\\\" y1=\\\"374\\\" x2=\\\"299\\\" y2=\\\"349\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"298\\\" y1=\\\"374\\\" x2=\\\"275\\\" y2=\\\"362\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"483\\\" y1=\\\"584\\\" x2=\\\"476\\\" y2=\\\"608\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"483\\\" y1=\\\"584\\\" x2=\\\"487\\\" y2=\\\"569\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"483\\\" y1=\\\"584\\\" x2=\\\"492\\\" y2=\\\"596\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"483\\\" y1=\\\"584\\\" x2=\\\"468\\\" y2=\\\"571\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"483\\\" y1=\\\"584\\\" x2=\\\"497\\\" y2=\\\"583\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"511\\\" y1=\\\"582\\\" x2=\\\"525\\\" y2=\\\"581\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"511\\\" y1=\\\"582\\\" x2=\\\"501\\\" y2=\\\"569\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"511\\\" y1=\\\"582\\\" x2=\\\"506\\\" y2=\\\"595\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"511\\\" y1=\\\"582\\\" x2=\\\"517\\\" y2=\\\"567\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"511\\\" y1=\\\"582\\\" x2=\\\"521\\\" y2=\\\"595\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"511\\\" y1=\\\"582\\\" x2=\\\"497\\\" y2=\\\"583\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"70\\\" y1=\\\"283\\\" x2=\\\"78\\\" y2=\\\"261\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"70\\\" y1=\\\"283\\\" x2=\\\"84\\\" y2=\\\"302\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"267\\\" y1=\\\"376\\\" x2=\\\"256\\\" y2=\\\"409\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"267\\\" y1=\\\"376\\\" x2=\\\"275\\\" y2=\\\"362\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"426\\\" y1=\\\"594\\\" x2=\\\"400\\\" y2=\\\"585\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"426\\\" y1=\\\"594\\\" x2=\\\"441\\\" y2=\\\"576\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"426\\\" y1=\\\"594\\\" x2=\\\"439\\\" y2=\\\"610\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"481\\\" y1=\\\"528\\\" x2=\\\"459\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"481\\\" y1=\\\"528\\\" x2=\\\"500\\\" y2=\\\"539\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"538\\\" y1=\\\"528\\\" x2=\\\"548\\\" y2=\\\"536\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"538\\\" y1=\\\"528\\\" x2=\\\"538\\\" y2=\\\"514\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"538\\\" y1=\\\"528\\\" x2=\\\"523\\\" y2=\\\"525\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"538\\\" y1=\\\"528\\\" x2=\\\"530\\\" y2=\\\"540\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"538\\\" y1=\\\"528\\\" x2=\\\"548\\\" y2=\\\"521\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"527\\\" y1=\\\"357\\\" x2=\\\"542\\\" y2=\\\"375\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"527\\\" y1=\\\"357\\\" x2=\\\"501\\\" y2=\\\"365\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"527\\\" y1=\\\"357\\\" x2=\\\"509\\\" y2=\\\"353\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"527\\\" y1=\\\"357\\\" x2=\\\"541\\\" y2=\\\"353\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"527\\\" y1=\\\"357\\\" x2=\\\"548\\\" y2=\\\"361\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"527\\\" y1=\\\"357\\\" x2=\\\"525\\\" y2=\\\"343\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"527\\\" y1=\\\"357\\\" x2=\\\"537\\\" y2=\\\"341\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"578\\\" y1=\\\"362\\\" x2=\\\"600\\\" y2=\\\"359\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"578\\\" y1=\\\"362\\\" x2=\\\"574\\\" y2=\\\"342\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"578\\\" y1=\\\"362\\\" x2=\\\"558\\\" y2=\\\"366\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"578\\\" y1=\\\"362\\\" x2=\\\"567\\\" y2=\\\"355\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"578\\\" y1=\\\"362\\\" x2=\\\"587\\\" y2=\\\"351\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"220\\\" y1=\\\"313\\\" x2=\\\"229\\\" y2=\\\"304\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"220\\\" y1=\\\"313\\\" x2=\\\"204\\\" y2=\\\"311\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"220\\\" y1=\\\"313\\\" x2=\\\"223\\\" y2=\\\"326\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"220\\\" y1=\\\"313\\\" x2=\\\"215\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"220\\\" y1=\\\"313\\\" x2=\\\"209\\\" y2=\\\"325\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"220\\\" y1=\\\"313\\\" x2=\\\"230\\\" y2=\\\"314\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"360\\\" y1=\\\"260\\\" x2=\\\"366\\\" y2=\\\"242\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"360\\\" y1=\\\"260\\\" x2=\\\"365\\\" y2=\\\"282\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"360\\\" y1=\\\"260\\\" x2=\\\"354\\\" y2=\\\"272\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"360\\\" y1=\\\"260\\\" x2=\\\"346\\\" y2=\\\"257\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"360\\\" y1=\\\"260\\\" x2=\\\"355\\\" y2=\\\"250\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"120\\\" y1=\\\"570\\\" x2=\\\"155\\\" y2=\\\"563\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"120\\\" y1=\\\"570\\\" x2=\\\"124\\\" y2=\\\"608\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"120\\\" y1=\\\"570\\\" x2=\\\"98\\\" y2=\\\"576\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"70\\\" y1=\\\"567\\\" x2=\\\"81\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"70\\\" y1=\\\"567\\\" x2=\\\"98\\\" y2=\\\"576\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"186\\\" y1=\\\"403\\\" x2=\\\"188\\\" y2=\\\"432\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"186\\\" y1=\\\"403\\\" x2=\\\"185\\\" y2=\\\"382\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"358\\\" y1=\\\"670\\\" x2=\\\"363\\\" y2=\\\"646\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"358\\\" y1=\\\"670\\\" x2=\\\"335\\\" y2=\\\"663\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"313\\\" y1=\\\"107\\\" x2=\\\"337\\\" y2=\\\"104\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"313\\\" y1=\\\"107\\\" x2=\\\"331\\\" y2=\\\"131\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"313\\\" y1=\\\"107\\\" x2=\\\"303\\\" y2=\\\"83\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"337\\\" y1=\\\"57\\\" x2=\\\"308\\\" y2=\\\"62\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"337\\\" y1=\\\"57\\\" x2=\\\"346\\\" y2=\\\"77\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"337\\\" y1=\\\"57\\\" x2=\\\"358\\\" y2=\\\"45\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"308\\\" y1=\\\"62\\\" x2=\\\"303\\\" y2=\\\"83\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"438\\\" y1=\\\"323\\\" x2=\\\"435\\\" y2=\\\"295\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"435\\\" y1=\\\"295\\\" x2=\\\"406\\\" y2=\\\"296\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"435\\\" y1=\\\"295\\\" x2=\\\"445\\\" y2=\\\"269\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"400\\\" y1=\\\"516\\\" x2=\\\"402\\\" y2=\\\"543\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"753\\\" y1=\\\"402\\\" x2=\\\"731\\\" y2=\\\"392\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"753\\\" y1=\\\"402\\\" x2=\\\"770\\\" y2=\\\"416\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"753\\\" y1=\\\"402\\\" x2=\\\"771\\\" y2=\\\"377\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"714\\\" y1=\\\"581\\\" x2=\\\"709\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"714\\\" y1=\\\"581\\\" x2=\\\"718\\\" y2=\\\"550\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"714\\\" y1=\\\"581\\\" x2=\\\"681\\\" y2=\\\"574\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"572\\\" y1=\\\"480\\\" x2=\\\"577\\\" y2=\\\"493\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"572\\\" y1=\\\"480\\\" x2=\\\"563\\\" y2=\\\"471\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"572\\\" y1=\\\"480\\\" x2=\\\"573\\\" y2=\\\"463\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"572\\\" y1=\\\"480\\\" x2=\\\"565\\\" y2=\\\"497\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"572\\\" y1=\\\"480\\\" x2=\\\"590\\\" y2=\\\"481\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"572\\\" y1=\\\"480\\\" x2=\\\"562\\\" y2=\\\"481\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"406\\\" y1=\\\"296\\\" x2=\\\"399\\\" y2=\\\"263\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"406\\\" y1=\\\"296\\\" x2=\\\"388\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"748\\\" y1=\\\"483\\\" x2=\\\"761\\\" y2=\\\"449\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"496\\\" y1=\\\"323\\\" x2=\\\"479\\\" y2=\\\"306\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"496\\\" y1=\\\"323\\\" x2=\\\"512\\\" y2=\\\"313\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"335\\\" y1=\\\"515\\\" x2=\\\"336\\\" y2=\\\"529\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"335\\\" y1=\\\"515\\\" x2=\\\"321\\\" y2=\\\"516\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"335\\\" y1=\\\"515\\\" x2=\\\"326\\\" y2=\\\"501\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"335\\\" y1=\\\"515\\\" x2=\\\"347\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"335\\\" y1=\\\"515\\\" x2=\\\"350\\\" y2=\\\"508\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"360\\\" y1=\\\"529\\\" x2=\\\"365\\\" y2=\\\"501\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"360\\\" y1=\\\"529\\\" x2=\\\"356\\\" y2=\\\"547\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"360\\\" y1=\\\"529\\\" x2=\\\"347\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"360\\\" y1=\\\"529\\\" x2=\\\"350\\\" y2=\\\"508\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"515\\\" y1=\\\"273\\\" x2=\\\"527\\\" y2=\\\"266\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"515\\\" y1=\\\"273\\\" x2=\\\"508\\\" y2=\\\"285\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"515\\\" y1=\\\"273\\\" x2=\\\"509\\\" y2=\\\"256\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"515\\\" y1=\\\"273\\\" x2=\\\"501\\\" y2=\\\"270\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"515\\\" y1=\\\"273\\\" x2=\\\"523\\\" y2=\\\"287\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"515\\\" y1=\\\"273\\\" x2=\\\"518\\\" y2=\\\"261\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"515\\\" y1=\\\"273\\\" x2=\\\"524\\\" y2=\\\"274\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"402\\\" y1=\\\"543\\\" x2=\\\"431\\\" y2=\\\"544\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"402\\\" y1=\\\"543\\\" x2=\\\"385\\\" y2=\\\"570\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"169\\\" y1=\\\"234\\\" x2=\\\"182\\\" y2=\\\"228\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"169\\\" y1=\\\"234\\\" x2=\\\"175\\\" y2=\\\"246\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"169\\\" y1=\\\"234\\\" x2=\\\"161\\\" y2=\\\"214\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"169\\\" y1=\\\"234\\\" x2=\\\"172\\\" y2=\\\"222\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"169\\\" y1=\\\"234\\\" x2=\\\"185\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"169\\\" y1=\\\"234\\\" x2=\\\"164\\\" y2=\\\"248\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"653\\\" y1=\\\"408\\\" x2=\\\"663\\\" y2=\\\"389\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"516\\\" y1=\\\"439\\\" x2=\\\"544\\\" y2=\\\"434\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"516\\\" y1=\\\"439\\\" x2=\\\"533\\\" y2=\\\"454\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"544\\\" y1=\\\"434\\\" x2=\\\"574\\\" y2=\\\"446\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"544\\\" y1=\\\"434\\\" x2=\\\"533\\\" y2=\\\"454\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"544\\\" y1=\\\"434\\\" x2=\\\"549\\\" y2=\\\"413\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"644\\\" y1=\\\"268\\\" x2=\\\"632\\\" y2=\\\"264\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"644\\\" y1=\\\"268\\\" x2=\\\"655\\\" y2=\\\"284\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"644\\\" y1=\\\"268\\\" x2=\\\"658\\\" y2=\\\"271\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"644\\\" y1=\\\"268\\\" x2=\\\"641\\\" y2=\\\"281\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"644\\\" y1=\\\"268\\\" x2=\\\"648\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"644\\\" y1=\\\"268\\\" x2=\\\"637\\\" y2=\\\"272\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"644\\\" y1=\\\"268\\\" x2=\\\"640\\\" y2=\\\"259\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"529\\\" x2=\\\"612\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"529\\\" x2=\\\"638\\\" y2=\\\"534\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"529\\\" x2=\\\"624\\\" y2=\\\"515\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"529\\\" x2=\\\"631\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"529\\\" x2=\\\"614\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"529\\\" x2=\\\"634\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"529\\\" x2=\\\"617\\\" y2=\\\"546\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"560\\\" x2=\\\"629\\\" y2=\\\"570\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"560\\\" x2=\\\"645\\\" y2=\\\"549\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"560\\\" x2=\\\"648\\\" y2=\\\"569\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"560\\\" x2=\\\"631\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"560\\\" x2=\\\"654\\\" y2=\\\"558\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"560\\\" x2=\\\"638\\\" y2=\\\"569\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"560\\\" x2=\\\"631\\\" y2=\\\"561\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"560\\\" x2=\\\"627\\\" y2=\\\"553\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"677\\\" y1=\\\"531\\\" x2=\\\"670\\\" y2=\\\"555\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"677\\\" y1=\\\"531\\\" x2=\\\"700\\\" y2=\\\"541\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"677\\\" y1=\\\"531\\\" x2=\\\"661\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"677\\\" y1=\\\"531\\\" x2=\\\"664\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"677\\\" y1=\\\"531\\\" x2=\\\"688\\\" y2=\\\"546\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"256\\\" y1=\\\"409\\\" x2=\\\"293\\\" y2=\\\"422\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"256\\\" y1=\\\"409\\\" x2=\\\"231\\\" y2=\\\"407\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"713\\\" x2=\\\"634\\\" y2=\\\"690\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"713\\\" x2=\\\"589\\\" y2=\\\"720\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"713\\\" x2=\\\"597\\\" y2=\\\"693\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"198\\\" y1=\\\"336\\\" x2=\\\"211\\\" y2=\\\"361\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"198\\\" y1=\\\"336\\\" x2=\\\"177\\\" y2=\\\"335\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"198\\\" y1=\\\"336\\\" x2=\\\"193\\\" y2=\\\"323\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"198\\\" y1=\\\"336\\\" x2=\\\"183\\\" y2=\\\"322\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"198\\\" y1=\\\"336\\\" x2=\\\"212\\\" y2=\\\"338\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"198\\\" y1=\\\"336\\\" x2=\\\"209\\\" y2=\\\"325\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"164\\\" y1=\\\"319\\\" x2=\\\"149\\\" y2=\\\"304\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"164\\\" y1=\\\"319\\\" x2=\\\"177\\\" y2=\\\"335\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"164\\\" y1=\\\"319\\\" x2=\\\"183\\\" y2=\\\"322\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"164\\\" y1=\\\"319\\\" x2=\\\"173\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"655\\\" y1=\\\"216\\\" x2=\\\"674\\\" y2=\\\"199\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"655\\\" y1=\\\"216\\\" x2=\\\"647\\\" y2=\\\"205\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"655\\\" y1=\\\"216\\\" x2=\\\"657\\\" y2=\\\"196\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"655\\\" y1=\\\"216\\\" x2=\\\"654\\\" y2=\\\"229\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"655\\\" y1=\\\"216\\\" x2=\\\"642\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"655\\\" y1=\\\"216\\\" x2=\\\"666\\\" y2=\\\"231\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"760\\\" x2=\\\"273\\\" y2=\\\"792\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"760\\\" x2=\\\"285\\\" y2=\\\"738\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"760\\\" x2=\\\"299\\\" y2=\\\"779\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"760\\\" x2=\\\"237\\\" y2=\\\"775\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"715\\\" x2=\\\"252\\\" y2=\\\"708\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"715\\\" x2=\\\"285\\\" y2=\\\"738\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"252\\\" y1=\\\"708\\\" x2=\\\"243\\\" y2=\\\"727\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"252\\\" y1=\\\"708\\\" x2=\\\"228\\\" y2=\\\"707\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"252\\\" y1=\\\"708\\\" x2=\\\"253\\\" y2=\\\"690\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"738\\\" y1=\\\"661\\\" x2=\\\"725\\\" y2=\\\"632\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"738\\\" y1=\\\"661\\\" x2=\\\"715\\\" y2=\\\"656\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"725\\\" y1=\\\"632\\\" x2=\\\"709\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"725\\\" y1=\\\"632\\\" x2=\\\"715\\\" y2=\\\"656\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"725\\\" y1=\\\"632\\\" x2=\\\"760\\\" y2=\\\"628\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"255\\\" y1=\\\"493\\\" x2=\\\"243\\\" y2=\\\"479\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"255\\\" y1=\\\"493\\\" x2=\\\"271\\\" y2=\\\"478\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"255\\\" y1=\\\"493\\\" x2=\\\"268\\\" y2=\\\"491\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"255\\\" y1=\\\"493\\\" x2=\\\"242\\\" y2=\\\"499\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"255\\\" y1=\\\"493\\\" x2=\\\"257\\\" y2=\\\"506\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"255\\\" y1=\\\"493\\\" x2=\\\"269\\\" y2=\\\"504\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"255\\\" y1=\\\"493\\\" x2=\\\"241\\\" y2=\\\"489\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"284\\\" x2=\\\"186\\\" y2=\\\"296\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"284\\\" x2=\\\"182\\\" y2=\\\"271\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"284\\\" x2=\\\"196\\\" y2=\\\"286\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"284\\\" x2=\\\"173\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"284\\\" x2=\\\"190\\\" y2=\\\"277\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"284\\\" x2=\\\"171\\\" y2=\\\"273\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"488\\\" y1=\\\"710\\\" x2=\\\"457\\\" y2=\\\"725\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"375\\\" y1=\\\"759\\\" x2=\\\"405\\\" y2=\\\"766\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"211\\\" y1=\\\"361\\\" x2=\\\"233\\\" y2=\\\"361\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"211\\\" y1=\\\"361\\\" x2=\\\"185\\\" y2=\\\"382\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"211\\\" y1=\\\"361\\\" x2=\\\"212\\\" y2=\\\"338\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"661\\\" y1=\\\"179\\\" x2=\\\"683\\\" y2=\\\"154\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"661\\\" y1=\\\"179\\\" x2=\\\"674\\\" y2=\\\"199\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"661\\\" y1=\\\"179\\\" x2=\\\"634\\\" y2=\\\"154\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"661\\\" y1=\\\"179\\\" x2=\\\"657\\\" y2=\\\"196\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"661\\\" y1=\\\"179\\\" x2=\\\"642\\\" y2=\\\"177\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"436\\\" y1=\\\"753\\\" x2=\\\"457\\\" y2=\\\"725\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"436\\\" y1=\\\"753\\\" x2=\\\"416\\\" y2=\\\"747\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"436\\\" y1=\\\"753\\\" x2=\\\"451\\\" y2=\\\"767\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"515\\\" y1=\\\"678\\\" x2=\\\"501\\\" y2=\\\"660\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"515\\\" y1=\\\"678\\\" x2=\\\"534\\\" y2=\\\"697\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"515\\\" y1=\\\"678\\\" x2=\\\"534\\\" y2=\\\"672\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"641\\\" x2=\\\"556\\\" y2=\\\"628\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"641\\\" x2=\\\"542\\\" y2=\\\"649\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"641\\\" x2=\\\"565\\\" y2=\\\"649\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"641\\\" x2=\\\"553\\\" y2=\\\"654\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"641\\\" x2=\\\"542\\\" y2=\\\"637\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"641\\\" x2=\\\"566\\\" y2=\\\"628\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"641\\\" x2=\\\"563\\\" y2=\\\"641\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"732\\\" y1=\\\"320\\\" x2=\\\"708\\\" y2=\\\"337\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"478\\\" y1=\\\"229\\\" x2=\\\"455\\\" y2=\\\"228\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"478\\\" y1=\\\"229\\\" x2=\\\"480\\\" y2=\\\"198\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"478\\\" y1=\\\"229\\\" x2=\\\"470\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"478\\\" y1=\\\"229\\\" x2=\\\"490\\\" y2=\\\"213\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"478\\\" y1=\\\"229\\\" x2=\\\"490\\\" y2=\\\"234\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"478\\\" y1=\\\"229\\\" x2=\\\"495\\\" y2=\\\"223\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"478\\\" y1=\\\"229\\\" x2=\\\"481\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"527\\\" y1=\\\"780\\\" x2=\\\"548\\\" y2=\\\"778\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"431\\\" y1=\\\"544\\\" x2=\\\"441\\\" y2=\\\"576\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"431\\\" y1=\\\"544\\\" x2=\\\"459\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"431\\\" y1=\\\"544\\\" x2=\\\"438\\\" y2=\\\"516\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"207\\\" x2=\\\"236\\\" y2=\\\"207\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"207\\\" x2=\\\"227\\\" y2=\\\"216\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"207\\\" x2=\\\"205\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"207\\\" x2=\\\"215\\\" y2=\\\"189\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"207\\\" x2=\\\"224\\\" y2=\\\"198\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"207\\\" x2=\\\"206\\\" y2=\\\"198\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"207\\\" x2=\\\"222\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"207\\\" x2=\\\"214\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"379\\\" y1=\\\"116\\\" x2=\\\"409\\\" y2=\\\"117\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"368\\\" y1=\\\"299\\\" x2=\\\"388\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"368\\\" y1=\\\"299\\\" x2=\\\"365\\\" y2=\\\"282\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"368\\\" y1=\\\"299\\\" x2=\\\"348\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"409\\\" y1=\\\"117\\\" x2=\\\"411\\\" y2=\\\"149\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"323\\\" y1=\\\"400\\\" x2=\\\"303\\\" y2=\\\"394\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"185\\\" y1=\\\"166\\\" x2=\\\"204\\\" y2=\\\"175\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"185\\\" y1=\\\"166\\\" x2=\\\"162\\\" y2=\\\"173\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"185\\\" y1=\\\"166\\\" x2=\\\"174\\\" y2=\\\"178\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"174\\\" x2=\\\"634\\\" y2=\\\"154\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"174\\\" x2=\\\"631\\\" y2=\\\"184\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"174\\\" x2=\\\"613\\\" y2=\\\"181\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"174\\\" x2=\\\"642\\\" y2=\\\"177\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"174\\\" x2=\\\"608\\\" y2=\\\"170\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"174\\\" x2=\\\"618\\\" y2=\\\"191\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"411\\\" y1=\\\"193\\\" x2=\\\"397\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"437\\\" y1=\\\"239\\\" x2=\\\"445\\\" y2=\\\"269\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"437\\\" y1=\\\"239\\\" x2=\\\"455\\\" y2=\\\"228\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"437\\\" y1=\\\"239\\\" x2=\\\"443\\\" y2=\\\"212\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"754\\\" y1=\\\"352\\\" x2=\\\"771\\\" y2=\\\"377\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"514\\\" y1=\\\"498\\\" x2=\\\"513\\\" y2=\\\"478\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"514\\\" y1=\\\"498\\\" x2=\\\"524\\\" y2=\\\"511\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"514\\\" y1=\\\"498\\\" x2=\\\"523\\\" y2=\\\"486\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"475\\\" x2=\\\"551\\\" y2=\\\"482\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"475\\\" x2=\\\"533\\\" y2=\\\"454\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"475\\\" x2=\\\"513\\\" y2=\\\"478\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"475\\\" x2=\\\"535\\\" y2=\\\"487\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"475\\\" x2=\\\"523\\\" y2=\\\"486\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"520\\\" y1=\\\"68\\\" x2=\\\"547\\\" y2=\\\"41\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"520\\\" y1=\\\"68\\\" x2=\\\"557\\\" y2=\\\"67\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"547\\\" y1=\\\"41\\\" x2=\\\"557\\\" y2=\\\"67\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"598\\\" y1=\\\"89\\\" x2=\\\"632\\\" y2=\\\"107\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"598\\\" y1=\\\"89\\\" x2=\\\"589\\\" y2=\\\"124\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"324\\\" y1=\\\"580\\\" x2=\\\"312\\\" y2=\\\"580\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"324\\\" y1=\\\"580\\\" x2=\\\"331\\\" y2=\\\"561\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"324\\\" y1=\\\"580\\\" x2=\\\"330\\\" y2=\\\"592\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"324\\\" y1=\\\"580\\\" x2=\\\"336\\\" y2=\\\"577\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"324\\\" y1=\\\"580\\\" x2=\\\"316\\\" y2=\\\"566\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"324\\\" y1=\\\"580\\\" x2=\\\"318\\\" y2=\\\"592\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"324\\\" y1=\\\"580\\\" x2=\\\"315\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"700\\\" x2=\\\"214\\\" y2=\\\"675\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"700\\\" x2=\\\"228\\\" y2=\\\"707\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"700\\\" x2=\\\"223\\\" y2=\\\"694\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"452\\\" y1=\\\"141\\\" x2=\\\"446\\\" y2=\\\"169\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"214\\\" y1=\\\"675\\\" x2=\\\"194\\\" y2=\\\"662\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"214\\\" y1=\\\"675\\\" x2=\\\"235\\\" y2=\\\"666\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"214\\\" y1=\\\"675\\\" x2=\\\"223\\\" y2=\\\"694\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"214\\\" y1=\\\"675\\\" x2=\\\"224\\\" y2=\\\"682\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"214\\\" y1=\\\"675\\\" x2=\\\"216\\\" y2=\\\"663\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"214\\\" y1=\\\"675\\\" x2=\\\"206\\\" y2=\\\"656\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"134\\\" y1=\\\"485\\\" x2=\\\"112\\\" y2=\\\"459\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"112\\\" y1=\\\"459\\\" x2=\\\"143\\\" y2=\\\"435\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"112\\\" y1=\\\"459\\\" x2=\\\"105\\\" y2=\\\"437\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"143\\\" y1=\\\"435\\\" x2=\\\"143\\\" y2=\\\"407\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"143\\\" y1=\\\"435\\\" x2=\\\"161\\\" y2=\\\"454\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"143\\\" y1=\\\"435\\\" x2=\\\"105\\\" y2=\\\"437\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"103\\\" y1=\\\"509\\\" x2=\\\"90\\\" y2=\\\"527\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"677\\\" y1=\\\"245\\\" x2=\\\"692\\\" y2=\\\"263\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"677\\\" y1=\\\"245\\\" x2=\\\"662\\\" y2=\\\"258\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"677\\\" y1=\\\"245\\\" x2=\\\"674\\\" y2=\\\"259\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"677\\\" y1=\\\"245\\\" x2=\\\"664\\\" y2=\\\"244\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"677\\\" y1=\\\"245\\\" x2=\\\"666\\\" y2=\\\"231\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"449\\\" y1=\\\"47\\\" x2=\\\"469\\\" y2=\\\"23\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"544\\\" y1=\\\"113\\\" x2=\\\"558\\\" y2=\\\"94\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"574\\\" y1=\\\"446\\\" x2=\\\"573\\\" y2=\\\"463\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"581\\\" y1=\\\"749\\\" x2=\\\"584\\\" y2=\\\"784\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"581\\\" y1=\\\"749\\\" x2=\\\"589\\\" y2=\\\"720\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"209\\\" y1=\\\"449\\\" x2=\\\"188\\\" y2=\\\"432\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"188\\\" y1=\\\"432\\\" x2=\\\"161\\\" y2=\\\"454\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"422\\\" x2=\\\"303\\\" y2=\\\"394\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"422\\\" x2=\\\"302\\\" y2=\\\"442\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"670\\\" y1=\\\"555\\\" x2=\\\"664\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"670\\\" y1=\\\"555\\\" x2=\\\"661\\\" y2=\\\"546\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"670\\\" y1=\\\"555\\\" x2=\\\"664\\\" y2=\\\"566\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"670\\\" y1=\\\"555\\\" x2=\\\"688\\\" y2=\\\"546\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"670\\\" y1=\\\"555\\\" x2=\\\"684\\\" y2=\\\"557\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"670\\\" y1=\\\"555\\\" x2=\\\"654\\\" y2=\\\"558\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"670\\\" y1=\\\"555\\\" x2=\\\"675\\\" y2=\\\"564\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"225\\\" y1=\\\"98\\\" x2=\\\"191\\\" y2=\\\"117\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"520\\\" y1=\\\"730\\\" x2=\\\"549\\\" y2=\\\"739\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"487\\\" y1=\\\"759\\\" x2=\\\"482\\\" y2=\\\"792\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"487\\\" y1=\\\"759\\\" x2=\\\"451\\\" y2=\\\"767\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"701\\\" y1=\\\"206\\\" x2=\\\"674\\\" y2=\\\"199\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"614\\\" x2=\\\"264\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"614\\\" x2=\\\"254\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"614\\\" x2=\\\"263\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"614\\\" x2=\\\"254\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"276\\\" y1=\\\"640\\\" x2=\\\"277\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"276\\\" y1=\\\"640\\\" x2=\\\"275\\\" y2=\\\"658\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"276\\\" y1=\\\"640\\\" x2=\\\"285\\\" y2=\\\"650\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"276\\\" y1=\\\"640\\\" x2=\\\"266\\\" y2=\\\"649\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"276\\\" y1=\\\"640\\\" x2=\\\"285\\\" y2=\\\"637\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"276\\\" y1=\\\"640\\\" x2=\\\"272\\\" y2=\\\"634\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"276\\\" y1=\\\"640\\\" x2=\\\"267\\\" y2=\\\"640\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"323\\\" y1=\\\"439\\\" x2=\\\"302\\\" y2=\\\"442\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"479\\\" y1=\\\"306\\\" x2=\\\"483\\\" y2=\\\"287\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"546\\\" y1=\\\"325\\\" x2=\\\"553\\\" y2=\\\"310\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"546\\\" y1=\\\"325\\\" x2=\\\"551\\\" y2=\\\"337\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"546\\\" y1=\\\"325\\\" x2=\\\"534\\\" y2=\\\"327\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"546\\\" y1=\\\"325\\\" x2=\\\"538\\\" y2=\\\"313\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"546\\\" y1=\\\"325\\\" x2=\\\"558\\\" y2=\\\"324\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"546\\\" y1=\\\"325\\\" x2=\\\"537\\\" y2=\\\"341\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"713\\\" y1=\\\"466\\\" x2=\\\"722\\\" y2=\\\"439\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"384\\\" y1=\\\"721\\\" x2=\\\"406\\\" y2=\\\"725\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"171\\\" y1=\\\"669\\\" x2=\\\"194\\\" y2=\\\"662\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"171\\\" y1=\\\"669\\\" x2=\\\"154\\\" y2=\\\"641\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"666\\\" x2=\\\"534\\\" y2=\\\"697\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"666\\\" x2=\\\"542\\\" y2=\\\"661\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"666\\\" x2=\\\"565\\\" y2=\\\"661\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"666\\\" x2=\\\"571\\\" y2=\\\"683\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"666\\\" x2=\\\"534\\\" y2=\\\"672\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"666\\\" x2=\\\"553\\\" y2=\\\"654\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"666\\\" x2=\\\"571\\\" y2=\\\"671\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"415\\\" y1=\\\"79\\\" x2=\\\"381\\\" y2=\\\"79\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"558\\\" y1=\\\"515\\\" x2=\\\"559\\\" y2=\\\"530\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"558\\\" y1=\\\"515\\\" x2=\\\"549\\\" y2=\\\"507\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"558\\\" y1=\\\"515\\\" x2=\\\"570\\\" y2=\\\"510\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"558\\\" y1=\\\"515\\\" x2=\\\"548\\\" y2=\\\"521\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"558\\\" y1=\\\"515\\\" x2=\\\"565\\\" y2=\\\"497\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"558\\\" y1=\\\"515\\\" x2=\\\"569\\\" y2=\\\"530\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"558\\\" y1=\\\"515\\\" x2=\\\"555\\\" y2=\\\"498\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"558\\\" y1=\\\"515\\\" x2=\\\"569\\\" y2=\\\"520\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"337\\\" y1=\\\"104\\\" x2=\\\"331\\\" y2=\\\"131\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"337\\\" y1=\\\"104\\\" x2=\\\"346\\\" y2=\\\"77\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"331\\\" y1=\\\"131\\\" x2=\\\"312\\\" y2=\\\"155\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"593\\\" y1=\\\"638\\\" x2=\\\"596\\\" y2=\\\"626\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"593\\\" y1=\\\"638\\\" x2=\\\"585\\\" y2=\\\"648\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"593\\\" y1=\\\"638\\\" x2=\\\"604\\\" y2=\\\"644\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"593\\\" y1=\\\"638\\\" x2=\\\"607\\\" y2=\\\"632\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"593\\\" y1=\\\"638\\\" x2=\\\"591\\\" y2=\\\"658\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"593\\\" y1=\\\"638\\\" x2=\\\"583\\\" y2=\\\"639\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"593\\\" y1=\\\"638\\\" x2=\\\"589\\\" y2=\\\"632\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"592\\\" y1=\\\"167\\\" x2=\\\"575\\\" y2=\\\"168\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"592\\\" y1=\\\"167\\\" x2=\\\"597\\\" y2=\\\"177\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"592\\\" y1=\\\"167\\\" x2=\\\"608\\\" y2=\\\"170\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"592\\\" y1=\\\"167\\\" x2=\\\"581\\\" y2=\\\"177\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"476\\\" y1=\\\"608\\\" x2=\\\"482\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"476\\\" y1=\\\"608\\\" x2=\\\"492\\\" y2=\\\"596\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"515\\\" x2=\\\"602\\\" y2=\\\"530\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"515\\\" x2=\\\"614\\\" y2=\\\"507\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"515\\\" x2=\\\"593\\\" y2=\\\"511\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"515\\\" x2=\\\"595\\\" y2=\\\"494\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"515\\\" x2=\\\"614\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"515\\\" x2=\\\"606\\\" y2=\\\"498\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"515\\\" x2=\\\"592\\\" y2=\\\"530\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"632\\\" x2=\\\"545\\\" y2=\\\"623\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"632\\\" x2=\\\"530\\\" y2=\\\"644\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"632\\\" x2=\\\"515\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"632\\\" x2=\\\"530\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"632\\\" x2=\\\"518\\\" y2=\\\"635\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"632\\\" x2=\\\"542\\\" y2=\\\"637\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"267\\\" y1=\\\"148\\\" x2=\\\"254\\\" y2=\\\"161\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"267\\\" y1=\\\"148\\\" x2=\\\"278\\\" y2=\\\"165\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"486\\\" y1=\\\"178\\\" x2=\\\"459\\\" y2=\\\"186\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"486\\\" y1=\\\"178\\\" x2=\\\"480\\\" y2=\\\"198\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"486\\\" y1=\\\"178\\\" x2=\\\"505\\\" y2=\\\"174\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"446\\\" y1=\\\"169\\\" x2=\\\"459\\\" y2=\\\"186\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"289\\\" y1=\\\"242\\\" x2=\\\"287\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"289\\\" y1=\\\"242\\\" x2=\\\"292\\\" y2=\\\"247\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"289\\\" y1=\\\"242\\\" x2=\\\"293\\\" y2=\\\"236\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"289\\\" y1=\\\"242\\\" x2=\\\"295\\\" y2=\\\"242\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"303\\\" y1=\\\"217\\\" x2=\\\"291\\\" y2=\\\"221\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"303\\\" y1=\\\"217\\\" x2=\\\"315\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"303\\\" y1=\\\"217\\\" x2=\\\"295\\\" y2=\\\"207\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"303\\\" y1=\\\"217\\\" x2=\\\"296\\\" y2=\\\"229\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"303\\\" y1=\\\"217\\\" x2=\\\"308\\\" y2=\\\"228\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"303\\\" y1=\\\"217\\\" x2=\\\"310\\\" y2=\\\"208\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"343\\\" y1=\\\"202\\\" x2=\\\"332\\\" y2=\\\"182\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"343\\\" y1=\\\"202\\\" x2=\\\"357\\\" y2=\\\"201\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"343\\\" y1=\\\"202\\\" x2=\\\"335\\\" y2=\\\"211\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"343\\\" y1=\\\"202\\\" x2=\\\"351\\\" y2=\\\"211\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"343\\\" y1=\\\"202\\\" x2=\\\"330\\\" y2=\\\"201\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"625\\\" x2=\\\"611\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"625\\\" x2=\\\"634\\\" y2=\\\"646\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"625\\\" x2=\\\"647\\\" y2=\\\"626\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"625\\\" x2=\\\"638\\\" y2=\\\"634\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"625\\\" x2=\\\"619\\\" y2=\\\"637\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"625\\\" x2=\\\"632\\\" y2=\\\"617\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"625\\\" x2=\\\"607\\\" y2=\\\"632\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"625\\\" x2=\\\"619\\\" y2=\\\"618\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"625\\\" x2=\\\"624\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"289\\\" y1=\\\"597\\\" x2=\\\"292\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"289\\\" y1=\\\"597\\\" x2=\\\"287\\\" y2=\\\"601\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"289\\\" y1=\\\"597\\\" x2=\\\"292\\\" y2=\\\"603\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"289\\\" y1=\\\"597\\\" x2=\\\"295\\\" y2=\\\"599\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"684\\\" y1=\\\"382\\\" x2=\\\"663\\\" y2=\\\"389\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"722\\\" y1=\\\"372\\\" x2=\\\"731\\\" y2=\\\"392\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"121\\\" y1=\\\"240\\\" x2=\\\"97\\\" y2=\\\"223\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"653\\\" y1=\\\"95\\\" x2=\\\"658\\\" y2=\\\"128\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"653\\\" y1=\\\"95\\\" x2=\\\"632\\\" y2=\\\"107\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"668\\\" y1=\\\"599\\\" x2=\\\"684\\\" y2=\\\"609\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"668\\\" y1=\\\"599\\\" x2=\\\"650\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"668\\\" y1=\\\"599\\\" x2=\\\"664\\\" y2=\\\"588\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"668\\\" y1=\\\"599\\\" x2=\\\"658\\\" y2=\\\"615\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"668\\\" y1=\\\"599\\\" x2=\\\"655\\\" y2=\\\"604\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"668\\\" y1=\\\"599\\\" x2=\\\"672\\\" y2=\\\"610\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"668\\\" y1=\\\"599\\\" x2=\\\"675\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"514\\\" x2=\\\"293\\\" y2=\\\"532\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"514\\\" x2=\\\"281\\\" y2=\\\"529\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"514\\\" x2=\\\"294\\\" y2=\\\"504\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"514\\\" x2=\\\"282\\\" y2=\\\"502\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"514\\\" x2=\\\"295\\\" y2=\\\"516\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"514\\\" x2=\\\"271\\\" y2=\\\"517\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"514\\\" x2=\\\"269\\\" y2=\\\"504\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"712\\\" y1=\\\"148\\\" x2=\\\"683\\\" y2=\\\"154\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"712\\\" y1=\\\"148\\\" x2=\\\"705\\\" y2=\\\"168\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"683\\\" y1=\\\"154\\\" x2=\\\"684\\\" y2=\\\"120\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"683\\\" y1=\\\"154\\\" x2=\\\"658\\\" y2=\\\"128\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"683\\\" y1=\\\"154\\\" x2=\\\"705\\\" y2=\\\"168\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"684\\\" y1=\\\"120\\\" x2=\\\"658\\\" y2=\\\"128\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"646\\\" y1=\\\"451\\\" x2=\\\"618\\\" y2=\\\"445\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"350\\\" y1=\\\"26\\\" x2=\\\"358\\\" y2=\\\"45\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"379\\\" y1=\\\"46\\\" x2=\\\"381\\\" y2=\\\"79\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"379\\\" y1=\\\"46\\\" x2=\\\"358\\\" y2=\\\"45\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"445\\\" y1=\\\"269\\\" x2=\\\"462\\\" y2=\\\"268\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"709\\\" y1=\\\"614\\\" x2=\\\"692\\\" y2=\\\"618\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"439\\\" y1=\\\"797\\\" x2=\\\"408\\\" y2=\\\"795\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"439\\\" y1=\\\"797\\\" x2=\\\"451\\\" y2=\\\"767\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"402\\\" y1=\\\"654\\\" x2=\\\"435\\\" y2=\\\"651\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"402\\\" y1=\\\"654\\\" x2=\\\"406\\\" y2=\\\"633\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"315\\\" y1=\\\"650\\\" x2=\\\"335\\\" y2=\\\"663\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"315\\\" y1=\\\"650\\\" x2=\\\"302\\\" y2=\\\"643\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"315\\\" y1=\\\"650\\\" x2=\\\"304\\\" y2=\\\"655\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"315\\\" y1=\\\"650\\\" x2=\\\"324\\\" y2=\\\"665\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"315\\\" y1=\\\"650\\\" x2=\\\"313\\\" y2=\\\"638\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"315\\\" y1=\\\"650\\\" x2=\\\"311\\\" y2=\\\"665\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"315\\\" y1=\\\"650\\\" x2=\\\"326\\\" y2=\\\"637\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"680\\\" x2=\\\"283\\\" y2=\\\"675\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"680\\\" x2=\\\"324\\\" y2=\\\"665\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"680\\\" x2=\\\"311\\\" y2=\\\"665\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"644\\\" y1=\\\"514\\\" x2=\\\"661\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"644\\\" y1=\\\"514\\\" x2=\\\"648\\\" y2=\\\"526\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"644\\\" y1=\\\"514\\\" x2=\\\"634\\\" y2=\\\"507\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"644\\\" y1=\\\"514\\\" x2=\\\"656\\\" y2=\\\"495\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"644\\\" y1=\\\"514\\\" x2=\\\"634\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"644\\\" y1=\\\"514\\\" x2=\\\"643\\\" y2=\\\"500\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"642\\\" y1=\\\"485\\\" x2=\\\"665\\\" y2=\\\"488\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"642\\\" y1=\\\"485\\\" x2=\\\"656\\\" y2=\\\"495\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"642\\\" y1=\\\"485\\\" x2=\\\"643\\\" y2=\\\"500\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"642\\\" y1=\\\"485\\\" x2=\\\"625\\\" y2=\\\"483\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"481\\\" x2=\\\"616\\\" y2=\\\"491\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"481\\\" x2=\\\"595\\\" y2=\\\"494\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"481\\\" x2=\\\"590\\\" y2=\\\"481\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"481\\\" x2=\\\"606\\\" y2=\\\"498\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"481\\\" x2=\\\"625\\\" y2=\\\"483\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"155\\\" y1=\\\"563\\\" x2=\\\"166\\\" y2=\\\"585\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"155\\\" y1=\\\"563\\\" x2=\\\"172\\\" y2=\\\"570\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"155\\\" y1=\\\"563\\\" x2=\\\"158\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"166\\\" y1=\\\"585\\\" x2=\\\"172\\\" y2=\\\"570\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"166\\\" y1=\\\"585\\\" x2=\\\"174\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"166\\\" y1=\\\"585\\\" x2=\\\"160\\\" y2=\\\"598\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"166\\\" y1=\\\"585\\\" x2=\\\"181\\\" y2=\\\"584\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"202\\\" y1=\\\"562\\\" x2=\\\"211\\\" y2=\\\"571\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"202\\\" y1=\\\"562\\\" x2=\\\"190\\\" y2=\\\"559\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"202\\\" y1=\\\"562\\\" x2=\\\"187\\\" y2=\\\"570\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"202\\\" y1=\\\"562\\\" x2=\\\"205\\\" y2=\\\"550\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"202\\\" y1=\\\"562\\\" x2=\\\"199\\\" y2=\\\"573\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"202\\\" y1=\\\"562\\\" x2=\\\"209\\\" y2=\\\"562\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"202\\\" y1=\\\"562\\\" x2=\\\"210\\\" y2=\\\"556\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"194\\\" y1=\\\"662\\\" x2=\\\"199\\\" y2=\\\"640\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"194\\\" y1=\\\"662\\\" x2=\\\"206\\\" y2=\\\"656\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"363\\\" y1=\\\"646\\\" x2=\\\"349\\\" y2=\\\"634\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"435\\\" y1=\\\"651\\\" x2=\\\"406\\\" y2=\\\"633\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"435\\\" y1=\\\"651\\\" x2=\\\"456\\\" y2=\\\"648\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"43\\\" y1=\\\"434\\\" x2=\\\"44\\\" y2=\\\"400\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"43\\\" y1=\\\"434\\\" x2=\\\"68\\\" y2=\\\"440\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"43\\\" y1=\\\"434\\\" x2=\\\"20\\\" y2=\\\"420\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"184\\\" y1=\\\"486\\\" x2=\\\"198\\\" y2=\\\"497\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"780\\\" y1=\\\"526\\\" x2=\\\"807\\\" y2=\\\"518\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"129\\\" y1=\\\"345\\\" x2=\\\"105\\\" y2=\\\"335\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"658\\\" y1=\\\"128\\\" x2=\\\"632\\\" y2=\\\"107\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"815\\\" y1=\\\"479\\\" x2=\\\"795\\\" y2=\\\"466\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"795\\\" y1=\\\"466\\\" x2=\\\"819\\\" y2=\\\"440\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"795\\\" y1=\\\"466\\\" x2=\\\"761\\\" y2=\\\"449\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"400\\\" y1=\\\"585\\\" x2=\\\"385\\\" y2=\\\"570\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"184\\\" y1=\\\"533\\\" x2=\\\"175\\\" y2=\\\"518\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"184\\\" y1=\\\"533\\\" x2=\\\"198\\\" y2=\\\"523\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"184\\\" y1=\\\"533\\\" x2=\\\"187\\\" y2=\\\"521\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"184\\\" y1=\\\"533\\\" x2=\\\"170\\\" y2=\\\"541\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"184\\\" y1=\\\"533\\\" x2=\\\"193\\\" y2=\\\"546\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"184\\\" y1=\\\"533\\\" x2=\\\"181\\\" y2=\\\"544\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"184\\\" y1=\\\"533\\\" x2=\\\"195\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"674\\\" y1=\\\"199\\\" x2=\\\"657\\\" y2=\\\"196\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"664\\\" y1=\\\"665\\\" x2=\\\"679\\\" y2=\\\"695\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"664\\\" y1=\\\"665\\\" x2=\\\"675\\\" y2=\\\"644\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"664\\\" y1=\\\"665\\\" x2=\\\"645\\\" y2=\\\"655\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"312\\\" y1=\\\"603\\\" x2=\\\"324\\\" y2=\\\"603\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"312\\\" y1=\\\"603\\\" x2=\\\"311\\\" y2=\\\"615\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"312\\\" y1=\\\"603\\\" x2=\\\"318\\\" y2=\\\"592\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"312\\\" y1=\\\"603\\\" x2=\\\"301\\\" y2=\\\"600\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"312\\\" y1=\\\"603\\\" x2=\\\"324\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"312\\\" y1=\\\"603\\\" x2=\\\"309\\\" y2=\\\"597\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"312\\\" y1=\\\"603\\\" x2=\\\"304\\\" y2=\\\"606\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"124\\\" y1=\\\"653\\\" x2=\\\"154\\\" y2=\\\"641\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"105\\\" y1=\\\"437\\\" x2=\\\"68\\\" y2=\\\"440\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"59\\\" y1=\\\"516\\\" x2=\\\"37\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"59\\\" y1=\\\"516\\\" x2=\\\"90\\\" y2=\\\"527\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"703\\\" y1=\\\"414\\\" x2=\\\"685\\\" y2=\\\"429\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"703\\\" y1=\\\"414\\\" x2=\\\"722\\\" y2=\\\"439\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"590\\\" y1=\\\"677\\\" x2=\\\"613\\\" y2=\\\"668\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"590\\\" y1=\\\"677\\\" x2=\\\"597\\\" y2=\\\"693\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"590\\\" y1=\\\"677\\\" x2=\\\"601\\\" y2=\\\"682\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"590\\\" y1=\\\"677\\\" x2=\\\"583\\\" y2=\\\"667\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"590\\\" y1=\\\"677\\\" x2=\\\"571\\\" y2=\\\"683\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"590\\\" y1=\\\"677\\\" x2=\\\"603\\\" y2=\\\"663\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"590\\\" y1=\\\"677\\\" x2=\\\"571\\\" y2=\\\"671\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"590\\\" y1=\\\"677\\\" x2=\\\"591\\\" y2=\\\"658\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"78\\\" y1=\\\"261\\\" x2=\\\"68\\\" y2=\\\"228\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"793\\\" y1=\\\"376\\\" x2=\\\"819\\\" y2=\\\"400\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"793\\\" y1=\\\"376\\\" x2=\\\"771\\\" y2=\\\"377\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"793\\\" y1=\\\"376\\\" x2=\\\"815\\\" y2=\\\"360\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"240\\\" y1=\\\"639\\\" x2=\\\"239\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"240\\\" y1=\\\"639\\\" x2=\\\"229\\\" y2=\\\"645\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"240\\\" y1=\\\"639\\\" x2=\\\"248\\\" y2=\\\"648\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"240\\\" y1=\\\"639\\\" x2=\\\"224\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"240\\\" y1=\\\"639\\\" x2=\\\"249\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"240\\\" y1=\\\"639\\\" x2=\\\"258\\\" y2=\\\"640\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"240\\\" y1=\\\"639\\\" x2=\\\"237\\\" y2=\\\"652\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"405\\\" y1=\\\"766\\\" x2=\\\"408\\\" y2=\\\"795\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"405\\\" y1=\\\"766\\\" x2=\\\"416\\\" y2=\\\"747\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"408\\\" y1=\\\"795\\\" x2=\\\"389\\\" y2=\\\"818\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"332\\\" y1=\\\"182\\\" x2=\\\"312\\\" y2=\\\"155\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"332\\\" y1=\\\"182\\\" x2=\\\"330\\\" y2=\\\"201\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"332\\\" y1=\\\"182\\\" x2=\\\"325\\\" y2=\\\"191\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"154\\\" y1=\\\"641\\\" x2=\\\"174\\\" y2=\\\"623\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"645\\\" y1=\\\"315\\\" x2=\\\"659\\\" y2=\\\"324\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"645\\\" y1=\\\"315\\\" x2=\\\"646\\\" y2=\\\"327\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"645\\\" y1=\\\"315\\\" x2=\\\"654\\\" y2=\\\"302\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"645\\\" y1=\\\"315\\\" x2=\\\"641\\\" y2=\\\"304\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"645\\\" y1=\\\"315\\\" x2=\\\"658\\\" y2=\\\"313\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"645\\\" y1=\\\"315\\\" x2=\\\"633\\\" y2=\\\"318\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"692\\\" y1=\\\"263\\\" x2=\\\"674\\\" y2=\\\"259\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"634\\\" y1=\\\"690\\\" x2=\\\"657\\\" y2=\\\"712\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"634\\\" y1=\\\"690\\\" x2=\\\"624\\\" y2=\\\"677\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"657\\\" y1=\\\"712\\\" x2=\\\"679\\\" y2=\\\"695\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"44\\\" y1=\\\"400\\\" x2=\\\"76\\\" y2=\\\"400\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"44\\\" y1=\\\"400\\\" x2=\\\"21\\\" y2=\\\"380\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"44\\\" y1=\\\"400\\\" x2=\\\"20\\\" y2=\\\"420\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"760\\\" y1=\\\"211\\\" x2=\\\"741\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"795\\\" y1=\\\"417\\\" x2=\\\"819\\\" y2=\\\"440\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"795\\\" y1=\\\"417\\\" x2=\\\"819\\\" y2=\\\"400\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"795\\\" y1=\\\"417\\\" x2=\\\"770\\\" y2=\\\"416\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"379\\\" y1=\\\"613\\\" x2=\\\"368\\\" y2=\\\"607\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"459\\\" y1=\\\"535\\\" x2=\\\"438\\\" y2=\\\"516\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"235\\\" y1=\\\"666\\\" x2=\\\"245\\\" y2=\\\"673\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"235\\\" y1=\\\"666\\\" x2=\\\"224\\\" y2=\\\"682\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"235\\\" y1=\\\"666\\\" x2=\\\"235\\\" y2=\\\"677\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"235\\\" y1=\\\"666\\\" x2=\\\"216\\\" y2=\\\"663\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"235\\\" y1=\\\"666\\\" x2=\\\"227\\\" y2=\\\"658\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"235\\\" y1=\\\"666\\\" x2=\\\"245\\\" y2=\\\"662\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"235\\\" y1=\\\"666\\\" x2=\\\"237\\\" y2=\\\"652\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"511\\\" y1=\\\"218\\\" x2=\\\"518\\\" y2=\\\"199\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"511\\\" y1=\\\"218\\\" x2=\\\"490\\\" y2=\\\"213\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"511\\\" y1=\\\"218\\\" x2=\\\"506\\\" y2=\\\"208\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"511\\\" y1=\\\"218\\\" x2=\\\"507\\\" y2=\\\"229\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"511\\\" y1=\\\"218\\\" x2=\\\"523\\\" y2=\\\"210\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"511\\\" y1=\\\"218\\\" x2=\\\"521\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"511\\\" y1=\\\"218\\\" x2=\\\"495\\\" y2=\\\"223\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"701\\\" y1=\\\"500\\\" x2=\\\"723\\\" y2=\\\"512\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"196\\\" y1=\\\"584\\\" x2=\\\"208\\\" y2=\\\"582\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"196\\\" y1=\\\"584\\\" x2=\\\"187\\\" y2=\\\"570\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"196\\\" y1=\\\"584\\\" x2=\\\"189\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"196\\\" y1=\\\"584\\\" x2=\\\"181\\\" y2=\\\"584\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"196\\\" y1=\\\"584\\\" x2=\\\"199\\\" y2=\\\"573\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"196\\\" y1=\\\"584\\\" x2=\\\"199\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"196\\\" y1=\\\"584\\\" x2=\\\"205\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"196\\\" y1=\\\"584\\\" x2=\\\"204\\\" y2=\\\"577\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"597\\\" x2=\\\"620\\\" y2=\\\"596\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"597\\\" x2=\\\"612\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"597\\\" x2=\\\"607\\\" y2=\\\"601\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"597\\\" x2=\\\"617\\\" y2=\\\"600\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"597\\\" x2=\\\"613\\\" y2=\\\"604\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"273\\\" y1=\\\"792\\\" x2=\\\"299\\\" y2=\\\"779\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"313\\\" y1=\\\"240\\\" x2=\\\"306\\\" y2=\\\"250\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"313\\\" y1=\\\"240\\\" x2=\\\"330\\\" y2=\\\"237\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"313\\\" y1=\\\"240\\\" x2=\\\"320\\\" y2=\\\"230\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"313\\\" y1=\\\"240\\\" x2=\\\"323\\\" y2=\\\"247\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"313\\\" y1=\\\"240\\\" x2=\\\"308\\\" y2=\\\"228\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"313\\\" y1=\\\"240\\\" x2=\\\"316\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"313\\\" y1=\\\"240\\\" x2=\\\"307\\\" y2=\\\"240\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"313\\\" y1=\\\"240\\\" x2=\\\"305\\\" y2=\\\"235\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"170\\\" y1=\\\"107\\\" x2=\\\"191\\\" y2=\\\"117\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"675\\\" y1=\\\"644\\\" x2=\\\"664\\\" y2=\\\"632\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"318\\\" y1=\\\"200\\\" x2=\\\"322\\\" y2=\\\"210\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"318\\\" y1=\\\"200\\\" x2=\\\"314\\\" y2=\\\"189\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"318\\\" y1=\\\"200\\\" x2=\\\"302\\\" y2=\\\"199\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"318\\\" y1=\\\"200\\\" x2=\\\"310\\\" y2=\\\"208\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"318\\\" y1=\\\"200\\\" x2=\\\"330\\\" y2=\\\"201\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"318\\\" y1=\\\"200\\\" x2=\\\"325\\\" y2=\\\"191\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"557\\\" y1=\\\"203\\\" x2=\\\"547\\\" y2=\\\"213\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"557\\\" y1=\\\"203\\\" x2=\\\"558\\\" y2=\\\"214\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"557\\\" y1=\\\"203\\\" x2=\\\"547\\\" y2=\\\"185\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"557\\\" y1=\\\"203\\\" x2=\\\"558\\\" y2=\\\"186\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"557\\\" y1=\\\"203\\\" x2=\\\"546\\\" y2=\\\"202\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"557\\\" y1=\\\"203\\\" x2=\\\"568\\\" y2=\\\"204\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"557\\\" y1=\\\"203\\\" x2=\\\"563\\\" y2=\\\"195\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"645\\\" y1=\\\"360\\\" x2=\\\"619\\\" y2=\\\"379\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"645\\\" y1=\\\"360\\\" x2=\\\"634\\\" y2=\\\"348\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"482\\\" y1=\\\"630\\\" x2=\\\"456\\\" y2=\\\"648\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"482\\\" y1=\\\"630\\\" x2=\\\"503\\\" y2=\\\"623\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"718\\\" y1=\\\"550\\\" x2=\\\"700\\\" y2=\\\"541\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"333\\\" y1=\\\"332\\\" x2=\\\"333\\\" y2=\\\"317\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"333\\\" y1=\\\"332\\\" x2=\\\"319\\\" y2=\\\"333\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"329\\\" y1=\\\"298\\\" x2=\\\"348\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"329\\\" y1=\\\"298\\\" x2=\\\"338\\\" y2=\\\"291\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"329\\\" y1=\\\"298\\\" x2=\\\"333\\\" y2=\\\"277\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"329\\\" y1=\\\"298\\\" x2=\\\"333\\\" y2=\\\"317\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"329\\\" y1=\\\"298\\\" x2=\\\"323\\\" y2=\\\"308\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"329\\\" y1=\\\"298\\\" x2=\\\"339\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"329\\\" y1=\\\"298\\\" x2=\\\"319\\\" y2=\\\"293\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"329\\\" y1=\\\"298\\\" x2=\\\"324\\\" y2=\\\"284\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"545\\\" x2=\\\"584\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"545\\\" x2=\\\"574\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"545\\\" x2=\\\"580\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"545\\\" x2=\\\"574\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"545\\\" x2=\\\"586\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"175\\\" y1=\\\"211\\\" x2=\\\"180\\\" y2=\\\"190\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"175\\\" y1=\\\"211\\\" x2=\\\"156\\\" y2=\\\"204\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"175\\\" y1=\\\"211\\\" x2=\\\"196\\\" y2=\\\"206\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"175\\\" y1=\\\"211\\\" x2=\\\"185\\\" y2=\\\"217\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"175\\\" y1=\\\"211\\\" x2=\\\"186\\\" y2=\\\"200\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"175\\\" y1=\\\"211\\\" x2=\\\"161\\\" y2=\\\"214\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"175\\\" y1=\\\"211\\\" x2=\\\"172\\\" y2=\\\"222\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"242\\\" x2=\\\"227\\\" y2=\\\"247\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"242\\\" x2=\\\"232\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"242\\\" x2=\\\"221\\\" y2=\\\"237\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"242\\\" x2=\\\"226\\\" y2=\\\"233\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"242\\\" x2=\\\"222\\\" y2=\\\"243\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"201\\\" y1=\\\"245\\\" x2=\\\"210\\\" y2=\\\"252\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"201\\\" y1=\\\"245\\\" x2=\\\"198\\\" y2=\\\"234\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"201\\\" y1=\\\"245\\\" x2=\\\"191\\\" y2=\\\"251\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"201\\\" y1=\\\"245\\\" x2=\\\"185\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"201\\\" y1=\\\"245\\\" x2=\\\"200\\\" y2=\\\"258\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"201\\\" y1=\\\"245\\\" x2=\\\"207\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"201\\\" y1=\\\"245\\\" x2=\\\"208\\\" y2=\\\"244\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"634\\\" y1=\\\"154\\\" x2=\\\"642\\\" y2=\\\"177\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"501\\\" y1=\\\"660\\\" x2=\\\"472\\\" y2=\\\"672\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"501\\\" y1=\\\"660\\\" x2=\\\"518\\\" y2=\\\"647\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"542\\\" y1=\\\"375\\\" x2=\\\"558\\\" y2=\\\"366\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"542\\\" y1=\\\"375\\\" x2=\\\"548\\\" y2=\\\"361\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"81\\\" y1=\\\"587\\\" x2=\\\"68\\\" y2=\\\"611\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"81\\\" y1=\\\"587\\\" x2=\\\"98\\\" y2=\\\"576\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"81\\\" y1=\\\"587\\\" x2=\\\"90\\\" y2=\\\"612\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"685\\\" y1=\\\"429\\\" x2=\\\"680\\\" y2=\\\"460\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"312\\\" y1=\\\"155\\\" x2=\\\"300\\\" y2=\\\"168\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"233\\\" y1=\\\"361\\\" x2=\\\"240\\\" y2=\\\"346\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"613\\\" y1=\\\"208\\\" x2=\\\"606\\\" y2=\\\"216\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"613\\\" y1=\\\"208\\\" x2=\\\"626\\\" y2=\\\"201\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"613\\\" y1=\\\"208\\\" x2=\\\"608\\\" y2=\\\"198\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"613\\\" y1=\\\"208\\\" x2=\\\"596\\\" y2=\\\"206\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"613\\\" y1=\\\"208\\\" x2=\\\"621\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"613\\\" y1=\\\"208\\\" x2=\\\"618\\\" y2=\\\"191\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"600\\\" y1=\\\"359\\\" x2=\\\"609\\\" y2=\\\"348\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"600\\\" y1=\\\"359\\\" x2=\\\"598\\\" y2=\\\"348\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"600\\\" y1=\\\"359\\\" x2=\\\"611\\\" y2=\\\"359\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"600\\\" y1=\\\"359\\\" x2=\\\"609\\\" y2=\\\"369\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"600\\\" y1=\\\"359\\\" x2=\\\"587\\\" y2=\\\"351\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"592\\\" y1=\\\"315\\\" x2=\\\"596\\\" y2=\\\"305\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"592\\\" y1=\\\"315\\\" x2=\\\"594\\\" y2=\\\"326\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"592\\\" y1=\\\"315\\\" x2=\\\"607\\\" y2=\\\"318\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"592\\\" y1=\\\"315\\\" x2=\\\"581\\\" y2=\\\"319\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"592\\\" y1=\\\"315\\\" x2=\\\"601\\\" y2=\\\"311\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"592\\\" y1=\\\"315\\\" x2=\\\"589\\\" y2=\\\"310\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"592\\\" y1=\\\"315\\\" x2=\\\"583\\\" y2=\\\"312\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"174\\\" y1=\\\"623\\\" x2=\\\"168\\\" y2=\\\"607\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"174\\\" y1=\\\"623\\\" x2=\\\"178\\\" y2=\\\"613\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"174\\\" y1=\\\"623\\\" x2=\\\"191\\\" y2=\\\"622\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"174\\\" y1=\\\"623\\\" x2=\\\"186\\\" y2=\\\"632\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"357\\\" y1=\\\"601\\\" x2=\\\"362\\\" y2=\\\"581\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"357\\\" y1=\\\"601\\\" x2=\\\"342\\\" y2=\\\"588\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"357\\\" y1=\\\"601\\\" x2=\\\"346\\\" y2=\\\"602\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"357\\\" y1=\\\"601\\\" x2=\\\"353\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"357\\\" y1=\\\"601\\\" x2=\\\"358\\\" y2=\\\"612\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"357\\\" y1=\\\"601\\\" x2=\\\"368\\\" y2=\\\"607\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"337\\\" y1=\\\"624\\\" x2=\\\"349\\\" y2=\\\"634\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"337\\\" y1=\\\"624\\\" x2=\\\"336\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"337\\\" y1=\\\"624\\\" x2=\\\"324\\\" y2=\\\"625\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"337\\\" y1=\\\"624\\\" x2=\\\"348\\\" y2=\\\"623\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"337\\\" y1=\\\"624\\\" x2=\\\"326\\\" y2=\\\"637\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"337\\\" y1=\\\"624\\\" x2=\\\"324\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"159\\\" y1=\\\"366\\\" x2=\\\"185\\\" y2=\\\"382\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"681\\\" y1=\\\"574\\\" x2=\\\"670\\\" y2=\\\"575\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"681\\\" y1=\\\"574\\\" x2=\\\"684\\\" y2=\\\"557\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"681\\\" y1=\\\"574\\\" x2=\\\"675\\\" y2=\\\"564\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"681\\\" y1=\\\"574\\\" x2=\\\"675\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"720\\\" x2=\\\"564\\\" y2=\\\"707\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"459\\\" y1=\\\"186\\\" x2=\\\"480\\\" y2=\\\"198\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"456\\\" y1=\\\"648\\\" x2=\\\"472\\\" y2=\\\"672\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"350\\\" y1=\\\"240\\\" x2=\\\"366\\\" y2=\\\"242\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"350\\\" y1=\\\"240\\\" x2=\\\"330\\\" y2=\\\"237\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"350\\\" y1=\\\"240\\\" x2=\\\"343\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"350\\\" y1=\\\"240\\\" x2=\\\"339\\\" y2=\\\"230\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"350\\\" y1=\\\"240\\\" x2=\\\"341\\\" y2=\\\"247\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"350\\\" y1=\\\"240\\\" x2=\\\"355\\\" y2=\\\"230\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"350\\\" y1=\\\"240\\\" x2=\\\"355\\\" y2=\\\"250\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"416\\\" y1=\\\"747\\\" x2=\\\"406\\\" y2=\\\"725\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"521\\\" y1=\\\"250\\\" x2=\\\"530\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"521\\\" y1=\\\"250\\\" x2=\\\"509\\\" y2=\\\"256\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"521\\\" y1=\\\"250\\\" x2=\\\"511\\\" y2=\\\"245\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"521\\\" y1=\\\"250\\\" x2=\\\"526\\\" y2=\\\"241\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"521\\\" y1=\\\"250\\\" x2=\\\"518\\\" y2=\\\"261\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"521\\\" y1=\\\"250\\\" x2=\\\"528\\\" y2=\\\"248\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"521\\\" y1=\\\"250\\\" x2=\\\"524\\\" y2=\\\"258\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"597\\\" x2=\\\"226\\\" y2=\\\"607\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"597\\\" x2=\\\"232\\\" y2=\\\"601\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"597\\\" x2=\\\"227\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"597\\\" x2=\\\"224\\\" y2=\\\"603\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"597\\\" x2=\\\"221\\\" y2=\\\"594\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"385\\\" y1=\\\"570\\\" x2=\\\"367\\\" y2=\\\"572\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"317\\\" y1=\\\"754\\\" x2=\\\"299\\\" y2=\\\"779\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"318\\\" y1=\\\"269\\\" x2=\\\"309\\\" y2=\\\"264\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"318\\\" y1=\\\"269\\\" x2=\\\"340\\\" y2=\\\"269\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"318\\\" y1=\\\"269\\\" x2=\\\"333\\\" y2=\\\"277\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"318\\\" y1=\\\"269\\\" x2=\\\"325\\\" y2=\\\"261\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"318\\\" y1=\\\"269\\\" x2=\\\"313\\\" y2=\\\"279\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"318\\\" y1=\\\"269\\\" x2=\\\"316\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"318\\\" y1=\\\"269\\\" x2=\\\"324\\\" y2=\\\"284\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"318\\\" y1=\\\"269\\\" x2=\\\"311\\\" y2=\\\"272\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"557\\\" y1=\\\"67\\\" x2=\\\"558\\\" y2=\\\"94\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"277\\\" x2=\\\"552\\\" y2=\\\"281\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"277\\\" x2=\\\"547\\\" y2=\\\"273\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"277\\\" x2=\\\"545\\\" y2=\\\"283\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"277\\\" x2=\\\"541\\\" y2=\\\"276\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"482\\\" y1=\\\"792\\\" x2=\\\"469\\\" y2=\\\"816\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"199\\\" y1=\\\"640\\\" x2=\\\"213\\\" y2=\\\"635\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"199\\\" y1=\\\"640\\\" x2=\\\"206\\\" y2=\\\"656\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"199\\\" y1=\\\"640\\\" x2=\\\"209\\\" y2=\\\"645\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"199\\\" y1=\\\"640\\\" x2=\\\"191\\\" y2=\\\"622\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"199\\\" y1=\\\"640\\\" x2=\\\"203\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"199\\\" y1=\\\"640\\\" x2=\\\"186\\\" y2=\\\"632\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"551\\\" y1=\\\"482\\\" x2=\\\"535\\\" y2=\\\"487\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"551\\\" y1=\\\"482\\\" x2=\\\"545\\\" y2=\\\"491\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"551\\\" y1=\\\"482\\\" x2=\\\"563\\\" y2=\\\"471\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"551\\\" y1=\\\"482\\\" x2=\\\"565\\\" y2=\\\"497\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"551\\\" y1=\\\"482\\\" x2=\\\"562\\\" y2=\\\"481\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"551\\\" y1=\\\"482\\\" x2=\\\"555\\\" y2=\\\"498\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"534\\\" y1=\\\"697\\\" x2=\\\"534\\\" y2=\\\"672\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"199\\\" y1=\\\"270\\\" x2=\\\"209\\\" y2=\\\"265\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"199\\\" y1=\\\"270\\\" x2=\\\"190\\\" y2=\\\"264\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"199\\\" y1=\\\"270\\\" x2=\\\"204\\\" y2=\\\"279\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"199\\\" y1=\\\"270\\\" x2=\\\"190\\\" y2=\\\"277\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"199\\\" y1=\\\"270\\\" x2=\\\"200\\\" y2=\\\"258\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"199\\\" y1=\\\"270\\\" x2=\\\"207\\\" y2=\\\"272\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"379\\\" x2=\\\"609\\\" y2=\\\"369\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"562\\\" x2=\\\"607\\\" y2=\\\"558\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"562\\\" x2=\\\"612\\\" y2=\\\"567\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"562\\\" x2=\\\"613\\\" y2=\\\"554\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"562\\\" x2=\\\"616\\\" y2=\\\"562\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"68\\\" y1=\\\"611\\\" x2=\\\"90\\\" y2=\\\"612\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"614\\\" x2=\\\"584\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"614\\\" x2=\\\"574\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"614\\\" x2=\\\"576\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"614\\\" x2=\\\"573\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"614\\\" x2=\\\"583\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"690\\\" y1=\\\"302\\\" x2=\\\"671\\\" y2=\\\"292\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"304\\\" y1=\\\"333\\\" x2=\\\"299\\\" y2=\\\"349\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"304\\\" y1=\\\"333\\\" x2=\\\"293\\\" y2=\\\"341\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"304\\\" y1=\\\"333\\\" x2=\\\"302\\\" y2=\\\"319\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"304\\\" y1=\\\"333\\\" x2=\\\"310\\\" y2=\\\"325\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"304\\\" y1=\\\"333\\\" x2=\\\"295\\\" y2=\\\"327\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"304\\\" y1=\\\"333\\\" x2=\\\"319\\\" y2=\\\"333\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"97\\\" y1=\\\"223\\\" x2=\\\"89\\\" y2=\\\"194\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"97\\\" y1=\\\"223\\\" x2=\\\"68\\\" y2=\\\"228\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"89\\\" y1=\\\"194\\\" x2=\\\"116\\\" y2=\\\"193\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"116\\\" y1=\\\"193\\\" x2=\\\"140\\\" y2=\\\"198\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"574\\\" y1=\\\"342\\\" x2=\\\"563\\\" y2=\\\"335\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"574\\\" y1=\\\"342\\\" x2=\\\"567\\\" y2=\\\"355\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"574\\\" y1=\\\"342\\\" x2=\\\"565\\\" y2=\\\"345\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"574\\\" y1=\\\"342\\\" x2=\\\"584\\\" y2=\\\"330\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"574\\\" y1=\\\"342\\\" x2=\\\"586\\\" y2=\\\"340\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"574\\\" y1=\\\"342\\\" x2=\\\"572\\\" y2=\\\"332\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"574\\\" y1=\\\"342\\\" x2=\\\"587\\\" y2=\\\"351\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"209\\\" y1=\\\"505\\\" x2=\\\"198\\\" y2=\\\"523\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"209\\\" y1=\\\"505\\\" x2=\\\"198\\\" y2=\\\"497\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"209\\\" y1=\\\"505\\\" x2=\\\"199\\\" y2=\\\"507\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"209\\\" y1=\\\"505\\\" x2=\\\"218\\\" y2=\\\"521\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"209\\\" y1=\\\"505\\\" x2=\\\"220\\\" y2=\\\"505\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"209\\\" y1=\\\"505\\\" x2=\\\"208\\\" y2=\\\"521\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"209\\\" y1=\\\"505\\\" x2=\\\"219\\\" y2=\\\"495\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"228\\\" y1=\\\"485\\\" x2=\\\"243\\\" y2=\\\"479\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"228\\\" y1=\\\"485\\\" x2=\\\"229\\\" y2=\\\"495\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"228\\\" y1=\\\"485\\\" x2=\\\"241\\\" y2=\\\"489\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"228\\\" y1=\\\"485\\\" x2=\\\"219\\\" y2=\\\"495\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"524\\\" x2=\\\"239\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"524\\\" x2=\\\"245\\\" y2=\\\"512\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"524\\\" x2=\\\"218\\\" y2=\\\"521\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"524\\\" x2=\\\"234\\\" y2=\\\"515\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"524\\\" x2=\\\"249\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"524\\\" x2=\\\"223\\\" y2=\\\"531\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"524\\\" x2=\\\"249\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"137\\\" y1=\\\"277\\\" x2=\\\"160\\\" y2=\\\"263\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"137\\\" y1=\\\"277\\\" x2=\\\"149\\\" y2=\\\"304\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"158\\\" x2=\\\"541\\\" y2=\\\"169\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"570\\\" y1=\\\"187\\\" x2=\\\"575\\\" y2=\\\"168\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"570\\\" y1=\\\"187\\\" x2=\\\"558\\\" y2=\\\"186\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"570\\\" y1=\\\"187\\\" x2=\\\"564\\\" y2=\\\"178\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"570\\\" y1=\\\"187\\\" x2=\\\"586\\\" y2=\\\"187\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"570\\\" y1=\\\"187\\\" x2=\\\"574\\\" y2=\\\"196\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"570\\\" y1=\\\"187\\\" x2=\\\"581\\\" y2=\\\"177\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"570\\\" y1=\\\"187\\\" x2=\\\"563\\\" y2=\\\"195\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"160\\\" y1=\\\"263\\\" x2=\\\"171\\\" y2=\\\"260\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"160\\\" y1=\\\"263\\\" x2=\\\"164\\\" y2=\\\"248\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"160\\\" y1=\\\"263\\\" x2=\\\"171\\\" y2=\\\"273\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"109\\\" x2=\\\"269\\\" y2=\\\"88\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"177\\\" y1=\\\"335\\\" x2=\\\"183\\\" y2=\\\"322\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"240\\\" y1=\\\"315\\\" x2=\\\"240\\\" y2=\\\"304\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"240\\\" y1=\\\"315\\\" x2=\\\"243\\\" y2=\\\"331\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"240\\\" y1=\\\"315\\\" x2=\\\"233\\\" y2=\\\"327\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"240\\\" y1=\\\"315\\\" x2=\\\"250\\\" y2=\\\"319\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"240\\\" y1=\\\"315\\\" x2=\\\"230\\\" y2=\\\"314\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"240\\\" y1=\\\"315\\\" x2=\\\"245\\\" y2=\\\"310\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"240\\\" y1=\\\"315\\\" x2=\\\"250\\\" y2=\\\"312\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"244\\\" y1=\\\"171\\\" x2=\\\"223\\\" y2=\\\"175\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"244\\\" y1=\\\"171\\\" x2=\\\"228\\\" y2=\\\"165\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"244\\\" y1=\\\"171\\\" x2=\\\"254\\\" y2=\\\"161\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"244\\\" y1=\\\"171\\\" x2=\\\"255\\\" y2=\\\"172\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"244\\\" y1=\\\"171\\\" x2=\\\"239\\\" y2=\\\"180\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"244\\\" y1=\\\"171\\\" x2=\\\"252\\\" y2=\\\"187\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"562\\\" x2=\\\"227\\\" y2=\\\"567\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"562\\\" x2=\\\"232\\\" y2=\\\"558\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"562\\\" x2=\\\"224\\\" y2=\\\"556\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"562\\\" x2=\\\"222\\\" y2=\\\"562\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"484\\\" y1=\\\"248\\\" x2=\\\"474\\\" y2=\\\"258\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"484\\\" y1=\\\"248\\\" x2=\\\"470\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"484\\\" y1=\\\"248\\\" x2=\\\"495\\\" y2=\\\"254\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"484\\\" y1=\\\"248\\\" x2=\\\"493\\\" y2=\\\"244\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"484\\\" y1=\\\"248\\\" x2=\\\"486\\\" y2=\\\"258\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"484\\\" y1=\\\"248\\\" x2=\\\"481\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"455\\\" y1=\\\"228\\\" x2=\\\"443\\\" y2=\\\"212\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"455\\\" y1=\\\"228\\\" x2=\\\"470\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"365\\\" y1=\\\"501\\\" x2=\\\"350\\\" y2=\\\"508\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"480\\\" y1=\\\"198\\\" x2=\\\"490\\\" y2=\\\"213\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"294\\\" x2=\\\"584\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"294\\\" x2=\\\"572\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"294\\\" x2=\\\"574\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"294\\\" x2=\\\"577\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"294\\\" x2=\\\"583\\\" y2=\\\"300\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"225\\\" x2=\\\"584\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"225\\\" x2=\\\"584\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"225\\\" x2=\\\"574\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"225\\\" x2=\\\"574\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"225\\\" x2=\\\"579\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"225\\\" x2=\\\"264\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"225\\\" x2=\\\"264\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"225\\\" x2=\\\"254\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"225\\\" x2=\\\"254\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"225\\\" x2=\\\"259\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"545\\\" x2=\\\"264\\\" y2=\\\"539\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"545\\\" x2=\\\"264\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"545\\\" x2=\\\"254\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"545\\\" x2=\\\"259\\\" y2=\\\"539\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"545\\\" x2=\\\"254\\\" y2=\\\"540\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"294\\\" x2=\\\"264\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"294\\\" x2=\\\"264\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"294\\\" x2=\\\"254\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"294\\\" x2=\\\"259\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"294\\\" x2=\\\"254\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"242\\\" x2=\\\"542\\\" y2=\\\"244\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"242\\\" x2=\\\"547\\\" y2=\\\"247\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"242\\\" x2=\\\"547\\\" y2=\\\"235\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"242\\\" x2=\\\"552\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"242\\\" x2=\\\"545\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"562\\\" x2=\\\"540\\\" y2=\\\"564\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"562\\\" x2=\\\"547\\\" y2=\\\"567\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"562\\\" x2=\\\"545\\\" y2=\\\"555\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"562\\\" x2=\\\"552\\\" y2=\\\"558\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"562\\\" x2=\\\"543\\\" y2=\\\"560\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"242\\\" x2=\\\"604\\\" y2=\\\"234\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"242\\\" x2=\\\"614\\\" y2=\\\"251\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"242\\\" x2=\\\"612\\\" y2=\\\"233\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"242\\\" x2=\\\"617\\\" y2=\\\"242\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"215\\\" x2=\\\"596\\\" y2=\\\"206\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"215\\\" x2=\\\"594\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"215\\\" x2=\\\"598\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"215\\\" x2=\\\"584\\\" y2=\\\"210\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"215\\\" x2=\\\"588\\\" y2=\\\"205\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"215\\\" x2=\\\"584\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"215\\\" x2=\\\"589\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"215\\\" x2=\\\"584\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"614\\\" y1=\\\"224\\\" x2=\\\"606\\\" y2=\\\"216\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"614\\\" y1=\\\"224\\\" x2=\\\"621\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"614\\\" y1=\\\"224\\\" x2=\\\"607\\\" y2=\\\"224\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"614\\\" y1=\\\"224\\\" x2=\\\"612\\\" y2=\\\"233\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"614\\\" y1=\\\"224\\\" x2=\\\"619\\\" y2=\\\"232\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"606\\\" y1=\\\"216\\\" x2=\\\"596\\\" y2=\\\"206\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"606\\\" y1=\\\"216\\\" x2=\\\"621\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"606\\\" y1=\\\"216\\\" x2=\\\"607\\\" y2=\\\"224\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"606\\\" y1=\\\"216\\\" x2=\\\"598\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"225\\\" x2=\\\"594\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"225\\\" x2=\\\"594\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"225\\\" x2=\\\"584\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"225\\\" x2=\\\"584\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"225\\\" x2=\\\"589\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"277\\\" x2=\\\"614\\\" y2=\\\"268\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"277\\\" x2=\\\"604\\\" y2=\\\"286\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"277\\\" x2=\\\"619\\\" y2=\\\"277\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"277\\\" x2=\\\"614\\\" y2=\\\"285\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"276\\\" x2=\\\"641\\\" y2=\\\"281\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"276\\\" x2=\\\"624\\\" y2=\\\"268\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"276\\\" x2=\\\"637\\\" y2=\\\"272\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"276\\\" x2=\\\"619\\\" y2=\\\"277\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"276\\\" x2=\\\"630\\\" y2=\\\"270\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"276\\\" x2=\\\"624\\\" y2=\\\"285\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"636\\\" y1=\\\"251\\\" x2=\\\"648\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"636\\\" y1=\\\"251\\\" x2=\\\"628\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"636\\\" y1=\\\"251\\\" x2=\\\"630\\\" y2=\\\"246\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"636\\\" y1=\\\"251\\\" x2=\\\"634\\\" y2=\\\"257\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"636\\\" y1=\\\"251\\\" x2=\\\"638\\\" y2=\\\"242\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"636\\\" y1=\\\"251\\\" x2=\\\"640\\\" y2=\\\"259\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"241\\\" x2=\\\"641\\\" y2=\\\"232\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"241\\\" x2=\\\"622\\\" y2=\\\"250\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"241\\\" x2=\\\"617\\\" y2=\\\"242\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"241\\\" x2=\\\"619\\\" y2=\\\"232\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"241\\\" x2=\\\"630\\\" y2=\\\"246\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"241\\\" x2=\\\"638\\\" y2=\\\"242\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"632\\\" y1=\\\"264\\\" x2=\\\"624\\\" y2=\\\"268\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"632\\\" y1=\\\"264\\\" x2=\\\"626\\\" y2=\\\"262\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"632\\\" y1=\\\"264\\\" x2=\\\"637\\\" y2=\\\"272\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"632\\\" y1=\\\"264\\\" x2=\\\"630\\\" y2=\\\"270\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"632\\\" y1=\\\"264\\\" x2=\\\"634\\\" y2=\\\"257\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"632\\\" y1=\\\"264\\\" x2=\\\"640\\\" y2=\\\"259\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"294\\\" x2=\\\"630\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"294\\\" x2=\\\"609\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"294\\\" x2=\\\"614\\\" y2=\\\"285\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"294\\\" x2=\\\"624\\\" y2=\\\"285\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"294\\\" x2=\\\"615\\\" y2=\\\"300\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"294\\\" x2=\\\"620\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"307\\\" x2=\\\"607\\\" y2=\\\"318\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"307\\\" x2=\\\"605\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"307\\\" x2=\\\"601\\\" y2=\\\"311\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"307\\\" x2=\\\"615\\\" y2=\\\"300\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"307\\\" x2=\\\"603\\\" y2=\\\"306\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"307\\\" x2=\\\"620\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"596\\\" y1=\\\"305\\\" x2=\\\"605\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"596\\\" y1=\\\"305\\\" x2=\\\"598\\\" y2=\\\"300\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"596\\\" y1=\\\"305\\\" x2=\\\"601\\\" y2=\\\"311\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"596\\\" y1=\\\"305\\\" x2=\\\"589\\\" y2=\\\"310\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"596\\\" y1=\\\"305\\\" x2=\\\"603\\\" y2=\\\"306\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"596\\\" y1=\\\"305\\\" x2=\\\"593\\\" y2=\\\"300\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"596\\\" y1=\\\"305\\\" x2=\\\"591\\\" y2=\\\"305\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"294\\\" x2=\\\"594\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"294\\\" x2=\\\"584\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"294\\\" x2=\\\"593\\\" y2=\\\"300\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"294\\\" x2=\\\"588\\\" y2=\\\"300\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"297\\\" x2=\\\"553\\\" y2=\\\"310\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"297\\\" x2=\\\"538\\\" y2=\\\"313\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"297\\\" x2=\\\"540\\\" y2=\\\"289\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"297\\\" x2=\\\"556\\\" y2=\\\"302\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"297\\\" x2=\\\"550\\\" y2=\\\"291\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"308\\\" x2=\\\"553\\\" y2=\\\"310\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"308\\\" x2=\\\"562\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"308\\\" x2=\\\"556\\\" y2=\\\"302\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"308\\\" x2=\\\"568\\\" y2=\\\"315\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"308\\\" x2=\\\"572\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"308\\\" x2=\\\"567\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"308\\\" x2=\\\"562\\\" y2=\\\"316\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"308\\\" x2=\\\"570\\\" y2=\\\"308\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"310\\\" x2=\\\"538\\\" y2=\\\"313\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"310\\\" x2=\\\"558\\\" y2=\\\"324\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"310\\\" x2=\\\"556\\\" y2=\\\"302\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"310\\\" x2=\\\"562\\\" y2=\\\"316\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"286\\\" x2=\\\"557\\\" y2=\\\"290\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"286\\\" x2=\\\"550\\\" y2=\\\"291\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"286\\\" x2=\\\"552\\\" y2=\\\"281\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"286\\\" x2=\\\"545\\\" y2=\\\"283\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"286\\\" x2=\\\"547\\\" y2=\\\"287\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"294\\\" x2=\\\"562\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"294\\\" x2=\\\"564\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"294\\\" x2=\\\"572\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"294\\\" x2=\\\"574\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"294\\\" x2=\\\"567\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"245\\\" x2=\\\"526\\\" y2=\\\"241\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"245\\\" x2=\\\"537\\\" y2=\\\"252\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"245\\\" x2=\\\"533\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"245\\\" x2=\\\"542\\\" y2=\\\"244\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"245\\\" x2=\\\"532\\\" y2=\\\"250\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"245\\\" x2=\\\"540\\\" y2=\\\"248\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"245\\\" x2=\\\"537\\\" y2=\\\"241\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"245\\\" x2=\\\"528\\\" y2=\\\"248\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"527\\\" y1=\\\"266\\\" x2=\\\"518\\\" y2=\\\"261\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"527\\\" y1=\\\"266\\\" x2=\\\"533\\\" y2=\\\"263\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"527\\\" y1=\\\"266\\\" x2=\\\"536\\\" y2=\\\"267\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"527\\\" y1=\\\"266\\\" x2=\\\"524\\\" y2=\\\"274\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"527\\\" y1=\\\"266\\\" x2=\\\"529\\\" y2=\\\"260\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"527\\\" y1=\\\"266\\\" x2=\\\"530\\\" y2=\\\"270\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"527\\\" y1=\\\"266\\\" x2=\\\"524\\\" y2=\\\"258\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"255\\\" x2=\\\"535\\\" y2=\\\"257\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"255\\\" x2=\\\"532\\\" y2=\\\"250\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"255\\\" x2=\\\"529\\\" y2=\\\"260\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"255\\\" x2=\\\"528\\\" y2=\\\"248\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"255\\\" x2=\\\"524\\\" y2=\\\"258\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"544\\\" y1=\\\"268\\\" x2=\\\"542\\\" y2=\\\"264\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"544\\\" y1=\\\"268\\\" x2=\\\"536\\\" y2=\\\"267\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"544\\\" y1=\\\"268\\\" x2=\\\"547\\\" y2=\\\"273\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"544\\\" y1=\\\"268\\\" x2=\\\"541\\\" y2=\\\"276\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"544\\\" y1=\\\"268\\\" x2=\\\"538\\\" y2=\\\"271\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"544\\\" y1=\\\"251\\\" x2=\\\"537\\\" y2=\\\"252\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"544\\\" y1=\\\"251\\\" x2=\\\"542\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"544\\\" y1=\\\"251\\\" x2=\\\"542\\\" y2=\\\"244\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"544\\\" y1=\\\"251\\\" x2=\\\"547\\\" y2=\\\"247\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"544\\\" y1=\\\"251\\\" x2=\\\"540\\\" y2=\\\"248\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"547\\\" y1=\\\"213\\\" x2=\\\"545\\\" y2=\\\"228\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"547\\\" y1=\\\"213\\\" x2=\\\"558\\\" y2=\\\"214\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"547\\\" y1=\\\"213\\\" x2=\\\"533\\\" y2=\\\"216\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"547\\\" y1=\\\"213\\\" x2=\\\"546\\\" y2=\\\"202\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"547\\\" y1=\\\"213\\\" x2=\\\"553\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"547\\\" y1=\\\"213\\\" x2=\\\"539\\\" y2=\\\"222\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"228\\\" x2=\\\"553\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"228\\\" x2=\\\"552\\\" y2=\\\"226\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"228\\\" x2=\\\"538\\\" y2=\\\"230\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"228\\\" x2=\\\"547\\\" y2=\\\"235\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"228\\\" x2=\\\"550\\\" y2=\\\"231\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"228\\\" x2=\\\"539\\\" y2=\\\"222\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"228\\\" x2=\\\"542\\\" y2=\\\"232\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"215\\\" x2=\\\"558\\\" y2=\\\"214\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"215\\\" x2=\\\"568\\\" y2=\\\"204\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"215\\\" x2=\\\"564\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"215\\\" x2=\\\"574\\\" y2=\\\"210\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"215\\\" x2=\\\"574\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"215\\\" x2=\\\"569\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"215\\\" x2=\\\"574\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"558\\\" y1=\\\"214\\\" x2=\\\"568\\\" y2=\\\"204\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"558\\\" y1=\\\"214\\\" x2=\\\"553\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"558\\\" y1=\\\"214\\\" x2=\\\"564\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"225\\\" x2=\\\"564\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"225\\\" x2=\\\"564\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"225\\\" x2=\\\"574\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"225\\\" x2=\\\"574\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"225\\\" x2=\\\"569\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"234\\\" x2=\\\"552\\\" y2=\\\"226\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"234\\\" x2=\\\"557\\\" y2=\\\"229\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"234\\\" x2=\\\"547\\\" y2=\\\"235\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"234\\\" x2=\\\"552\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"234\\\" x2=\\\"550\\\" y2=\\\"231\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"501\\\" y1=\\\"365\\\" x2=\\\"509\\\" y2=\\\"353\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"509\\\" y1=\\\"353\\\" x2=\\\"525\\\" y2=\\\"343\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"462\\\" y1=\\\"268\\\" x2=\\\"474\\\" y2=\\\"258\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"474\\\" y1=\\\"258\\\" x2=\\\"486\\\" y2=\\\"258\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"470\\\" y1=\\\"238\\\" x2=\\\"481\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"659\\\" y1=\\\"324\\\" x2=\\\"666\\\" y2=\\\"337\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"659\\\" y1=\\\"324\\\" x2=\\\"646\\\" y2=\\\"327\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"659\\\" y1=\\\"324\\\" x2=\\\"658\\\" y2=\\\"313\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"634\\\" y1=\\\"348\\\" x2=\\\"634\\\" y2=\\\"329\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"634\\\" y1=\\\"348\\\" x2=\\\"622\\\" y2=\\\"339\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"634\\\" y1=\\\"329\\\" x2=\\\"646\\\" y2=\\\"327\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"634\\\" y1=\\\"329\\\" x2=\\\"622\\\" y2=\\\"339\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"634\\\" y1=\\\"329\\\" x2=\\\"633\\\" y2=\\\"318\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"646\\\" y1=\\\"327\\\" x2=\\\"633\\\" y2=\\\"318\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"512\\\" y1=\\\"183\\\" x2=\\\"518\\\" y2=\\\"199\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"512\\\" y1=\\\"183\\\" x2=\\\"529\\\" y2=\\\"185\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"512\\\" y1=\\\"183\\\" x2=\\\"505\\\" y2=\\\"174\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"518\\\" y1=\\\"199\\\" x2=\\\"506\\\" y2=\\\"208\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"518\\\" y1=\\\"199\\\" x2=\\\"529\\\" y2=\\\"185\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"518\\\" y1=\\\"199\\\" x2=\\\"523\\\" y2=\\\"210\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"490\\\" y1=\\\"213\\\" x2=\\\"506\\\" y2=\\\"208\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"490\\\" y1=\\\"213\\\" x2=\\\"495\\\" y2=\\\"223\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"512\\\" y1=\\\"313\\\" x2=\\\"516\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"512\\\" y1=\\\"313\\\" x2=\\\"526\\\" y2=\\\"314\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"494\\\" y1=\\\"282\\\" x2=\\\"508\\\" y2=\\\"285\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"494\\\" y1=\\\"282\\\" x2=\\\"501\\\" y2=\\\"270\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"494\\\" y1=\\\"282\\\" x2=\\\"483\\\" y2=\\\"287\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"516\\\" y1=\\\"299\\\" x2=\\\"508\\\" y2=\\\"285\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"516\\\" y1=\\\"299\\\" x2=\\\"526\\\" y2=\\\"314\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"516\\\" y1=\\\"299\\\" x2=\\\"523\\\" y2=\\\"287\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"508\\\" y1=\\\"285\\\" x2=\\\"501\\\" y2=\\\"270\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"508\\\" y1=\\\"285\\\" x2=\\\"523\\\" y2=\\\"287\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"655\\\" y1=\\\"284\\\" x2=\\\"671\\\" y2=\\\"292\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"655\\\" y1=\\\"284\\\" x2=\\\"658\\\" y2=\\\"271\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"655\\\" y1=\\\"284\\\" x2=\\\"654\\\" y2=\\\"302\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"655\\\" y1=\\\"284\\\" x2=\\\"641\\\" y2=\\\"281\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"662\\\" y1=\\\"258\\\" x2=\\\"658\\\" y2=\\\"271\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"662\\\" y1=\\\"258\\\" x2=\\\"674\\\" y2=\\\"259\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"662\\\" y1=\\\"258\\\" x2=\\\"648\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"662\\\" y1=\\\"258\\\" x2=\\\"664\\\" y2=\\\"244\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"671\\\" y1=\\\"292\\\" x2=\\\"654\\\" y2=\\\"302\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"658\\\" y1=\\\"271\\\" x2=\\\"648\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"169\\\" x2=\\\"547\\\" y2=\\\"185\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"169\\\" x2=\\\"529\\\" y2=\\\"185\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"547\\\" y1=\\\"185\\\" x2=\\\"558\\\" y2=\\\"186\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"547\\\" y1=\\\"185\\\" x2=\\\"529\\\" y2=\\\"185\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"547\\\" y1=\\\"185\\\" x2=\\\"546\\\" y2=\\\"202\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"575\\\" y1=\\\"168\\\" x2=\\\"564\\\" y2=\\\"178\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"575\\\" y1=\\\"168\\\" x2=\\\"581\\\" y2=\\\"177\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"558\\\" y1=\\\"186\\\" x2=\\\"564\\\" y2=\\\"178\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"558\\\" y1=\\\"186\\\" x2=\\\"563\\\" y2=\\\"195\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"558\\\" y1=\\\"366\\\" x2=\\\"567\\\" y2=\\\"355\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"558\\\" y1=\\\"366\\\" x2=\\\"548\\\" y2=\\\"361\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"563\\\" y1=\\\"335\\\" x2=\\\"551\\\" y2=\\\"337\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"563\\\" y1=\\\"335\\\" x2=\\\"565\\\" y2=\\\"345\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"563\\\" y1=\\\"335\\\" x2=\\\"558\\\" y2=\\\"324\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"563\\\" y1=\\\"335\\\" x2=\\\"572\\\" y2=\\\"332\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"353\\\" x2=\\\"548\\\" y2=\\\"361\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"353\\\" x2=\\\"537\\\" y2=\\\"341\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"567\\\" y1=\\\"355\\\" x2=\\\"565\\\" y2=\\\"345\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"551\\\" y1=\\\"337\\\" x2=\\\"558\\\" y2=\\\"324\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"551\\\" y1=\\\"337\\\" x2=\\\"537\\\" y2=\\\"341\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"634\\\" y1=\\\"208\\\" x2=\\\"647\\\" y2=\\\"205\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"634\\\" y1=\\\"208\\\" x2=\\\"626\\\" y2=\\\"201\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"634\\\" y1=\\\"208\\\" x2=\\\"642\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"634\\\" y1=\\\"208\\\" x2=\\\"621\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"647\\\" y1=\\\"205\\\" x2=\\\"657\\\" y2=\\\"196\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"647\\\" y1=\\\"205\\\" x2=\\\"642\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"631\\\" y1=\\\"184\\\" x2=\\\"626\\\" y2=\\\"201\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"631\\\" y1=\\\"184\\\" x2=\\\"642\\\" y2=\\\"177\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"631\\\" y1=\\\"184\\\" x2=\\\"618\\\" y2=\\\"191\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"626\\\" y1=\\\"201\\\" x2=\\\"621\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"626\\\" y1=\\\"201\\\" x2=\\\"618\\\" y2=\\\"191\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"348\\\" x2=\\\"609\\\" y2=\\\"329\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"348\\\" x2=\\\"598\\\" y2=\\\"348\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"348\\\" x2=\\\"622\\\" y2=\\\"339\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"348\\\" x2=\\\"611\\\" y2=\\\"359\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"329\\\" x2=\\\"594\\\" y2=\\\"326\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"329\\\" x2=\\\"622\\\" y2=\\\"339\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"329\\\" x2=\\\"607\\\" y2=\\\"318\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"584\\\" y1=\\\"330\\\" x2=\\\"594\\\" y2=\\\"326\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"584\\\" y1=\\\"330\\\" x2=\\\"586\\\" y2=\\\"340\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"584\\\" y1=\\\"330\\\" x2=\\\"581\\\" y2=\\\"319\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"584\\\" y1=\\\"330\\\" x2=\\\"572\\\" y2=\\\"332\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"598\\\" y1=\\\"348\\\" x2=\\\"586\\\" y2=\\\"340\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"598\\\" y1=\\\"348\\\" x2=\\\"587\\\" y2=\\\"351\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"594\\\" y1=\\\"326\\\" x2=\\\"607\\\" y2=\\\"318\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"594\\\" y1=\\\"326\\\" x2=\\\"581\\\" y2=\\\"319\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"586\\\" y1=\\\"340\\\" x2=\\\"587\\\" y2=\\\"351\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"495\\\" y1=\\\"254\\\" x2=\\\"509\\\" y2=\\\"256\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"495\\\" y1=\\\"254\\\" x2=\\\"493\\\" y2=\\\"244\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"495\\\" y1=\\\"254\\\" x2=\\\"501\\\" y2=\\\"270\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"495\\\" y1=\\\"254\\\" x2=\\\"486\\\" y2=\\\"258\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"516\\\" y1=\\\"235\\\" x2=\\\"507\\\" y2=\\\"229\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"516\\\" y1=\\\"235\\\" x2=\\\"511\\\" y2=\\\"245\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"516\\\" y1=\\\"235\\\" x2=\\\"521\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"516\\\" y1=\\\"235\\\" x2=\\\"526\\\" y2=\\\"241\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"509\\\" y1=\\\"256\\\" x2=\\\"511\\\" y2=\\\"245\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"509\\\" y1=\\\"256\\\" x2=\\\"501\\\" y2=\\\"270\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"509\\\" y1=\\\"256\\\" x2=\\\"518\\\" y2=\\\"261\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"490\\\" y1=\\\"234\\\" x2=\\\"493\\\" y2=\\\"244\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"490\\\" y1=\\\"234\\\" x2=\\\"495\\\" y2=\\\"223\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"490\\\" y1=\\\"234\\\" x2=\\\"481\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"507\\\" y1=\\\"229\\\" x2=\\\"521\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"507\\\" y1=\\\"229\\\" x2=\\\"495\\\" y2=\\\"223\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"511\\\" y1=\\\"245\\\" x2=\\\"526\\\" y2=\\\"241\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"493\\\" y1=\\\"244\\\" x2=\\\"481\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"654\\\" y1=\\\"302\\\" x2=\\\"641\\\" y2=\\\"304\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"654\\\" y1=\\\"302\\\" x2=\\\"658\\\" y2=\\\"313\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"630\\\" y1=\\\"307\\\" x2=\\\"641\\\" y2=\\\"304\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"630\\\" y1=\\\"307\\\" x2=\\\"633\\\" y2=\\\"318\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"630\\\" y1=\\\"307\\\" x2=\\\"620\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"641\\\" y1=\\\"281\\\" x2=\\\"637\\\" y2=\\\"272\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"641\\\" y1=\\\"304\\\" x2=\\\"633\\\" y2=\\\"318\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"526\\\" y1=\\\"314\\\" x2=\\\"534\\\" y2=\\\"327\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"526\\\" y1=\\\"314\\\" x2=\\\"538\\\" y2=\\\"313\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"525\\\" y1=\\\"343\\\" x2=\\\"537\\\" y2=\\\"341\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"534\\\" y1=\\\"327\\\" x2=\\\"538\\\" y2=\\\"313\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"534\\\" y1=\\\"327\\\" x2=\\\"537\\\" y2=\\\"341\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"591\\\" y1=\\\"196\\\" x2=\\\"586\\\" y2=\\\"187\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"591\\\" y1=\\\"196\\\" x2=\\\"596\\\" y2=\\\"206\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"591\\\" y1=\\\"196\\\" x2=\\\"588\\\" y2=\\\"205\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"613\\\" y1=\\\"181\\\" x2=\\\"597\\\" y2=\\\"177\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"613\\\" y1=\\\"181\\\" x2=\\\"608\\\" y2=\\\"170\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"613\\\" y1=\\\"181\\\" x2=\\\"618\\\" y2=\\\"191\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"597\\\" y1=\\\"177\\\" x2=\\\"586\\\" y2=\\\"187\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"597\\\" y1=\\\"177\\\" x2=\\\"608\\\" y2=\\\"170\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"597\\\" y1=\\\"177\\\" x2=\\\"581\\\" y2=\\\"177\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"608\\\" y1=\\\"198\\\" x2=\\\"596\\\" y2=\\\"206\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"608\\\" y1=\\\"198\\\" x2=\\\"618\\\" y2=\\\"191\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"586\\\" y1=\\\"187\\\" x2=\\\"574\\\" y2=\\\"196\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"586\\\" y1=\\\"187\\\" x2=\\\"581\\\" y2=\\\"177\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"641\\\" y1=\\\"232\\\" x2=\\\"654\\\" y2=\\\"229\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"641\\\" y1=\\\"232\\\" x2=\\\"642\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"641\\\" y1=\\\"232\\\" x2=\\\"638\\\" y2=\\\"242\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"648\\\" y1=\\\"255\\\" x2=\\\"640\\\" y2=\\\"259\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"654\\\" y1=\\\"229\\\" x2=\\\"642\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"654\\\" y1=\\\"229\\\" x2=\\\"666\\\" y2=\\\"231\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"664\\\" y1=\\\"244\\\" x2=\\\"666\\\" y2=\\\"231\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"533\\\" y1=\\\"216\\\" x2=\\\"523\\\" y2=\\\"210\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"533\\\" y1=\\\"216\\\" x2=\\\"521\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"533\\\" y1=\\\"216\\\" x2=\\\"539\\\" y2=\\\"222\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"523\\\" y1=\\\"210\\\" x2=\\\"521\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"359\\\" x2=\\\"609\\\" y2=\\\"369\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"607\\\" y1=\\\"318\\\" x2=\\\"601\\\" y2=\\\"311\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"526\\\" y1=\\\"241\\\" x2=\\\"533\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"526\\\" y1=\\\"241\\\" x2=\\\"528\\\" y2=\\\"248\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"540\\\" y1=\\\"237\\\" x2=\\\"533\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"540\\\" y1=\\\"237\\\" x2=\\\"538\\\" y2=\\\"230\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"540\\\" y1=\\\"237\\\" x2=\\\"542\\\" y2=\\\"244\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"540\\\" y1=\\\"237\\\" x2=\\\"547\\\" y2=\\\"235\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"540\\\" y1=\\\"237\\\" x2=\\\"545\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"540\\\" y1=\\\"237\\\" x2=\\\"537\\\" y2=\\\"241\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"540\\\" y1=\\\"237\\\" x2=\\\"542\\\" y2=\\\"232\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"523\\\" y1=\\\"287\\\" x2=\\\"532\\\" y2=\\\"275\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"523\\\" y1=\\\"287\\\" x2=\\\"524\\\" y2=\\\"274\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"523\\\" y1=\\\"287\\\" x2=\\\"531\\\" y2=\\\"288\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"540\\\" y1=\\\"289\\\" x2=\\\"550\\\" y2=\\\"291\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"540\\\" y1=\\\"289\\\" x2=\\\"545\\\" y2=\\\"283\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"540\\\" y1=\\\"289\\\" x2=\\\"547\\\" y2=\\\"287\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"540\\\" y1=\\\"289\\\" x2=\\\"531\\\" y2=\\\"288\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"540\\\" y1=\\\"289\\\" x2=\\\"536\\\" y2=\\\"282\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"558\\\" y1=\\\"324\\\" x2=\\\"562\\\" y2=\\\"316\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"581\\\" y1=\\\"319\\\" x2=\\\"575\\\" y2=\\\"308\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"581\\\" y1=\\\"319\\\" x2=\\\"583\\\" y2=\\\"312\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"575\\\" y1=\\\"308\\\" x2=\\\"568\\\" y2=\\\"315\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"575\\\" y1=\\\"308\\\" x2=\\\"572\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"575\\\" y1=\\\"308\\\" x2=\\\"577\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"575\\\" y1=\\\"308\\\" x2=\\\"570\\\" y2=\\\"308\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"575\\\" y1=\\\"308\\\" x2=\\\"583\\\" y2=\\\"312\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"575\\\" y1=\\\"308\\\" x2=\\\"580\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"568\\\" y1=\\\"204\\\" x2=\\\"574\\\" y2=\\\"196\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"568\\\" y1=\\\"204\\\" x2=\\\"563\\\" y2=\\\"195\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"568\\\" y1=\\\"204\\\" x2=\\\"574\\\" y2=\\\"210\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"596\\\" y1=\\\"206\\\" x2=\\\"598\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"596\\\" y1=\\\"206\\\" x2=\\\"588\\\" y2=\\\"205\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"574\\\" y1=\\\"196\\\" x2=\\\"563\\\" y2=\\\"195\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"215\\\" x2=\\\"584\\\" y2=\\\"210\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"215\\\" x2=\\\"574\\\" y2=\\\"210\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"215\\\" x2=\\\"584\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"215\\\" x2=\\\"574\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"215\\\" x2=\\\"579\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"215\\\" x2=\\\"584\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"579\\\" y1=\\\"215\\\" x2=\\\"574\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"518\\\" y1=\\\"261\\\" x2=\\\"524\\\" y2=\\\"258\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"532\\\" y1=\\\"275\\\" x2=\\\"536\\\" y2=\\\"267\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"532\\\" y1=\\\"275\\\" x2=\\\"524\\\" y2=\\\"274\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"532\\\" y1=\\\"275\\\" x2=\\\"541\\\" y2=\\\"276\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"532\\\" y1=\\\"275\\\" x2=\\\"530\\\" y2=\\\"270\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"532\\\" y1=\\\"275\\\" x2=\\\"538\\\" y2=\\\"271\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"532\\\" y1=\\\"275\\\" x2=\\\"531\\\" y2=\\\"288\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"532\\\" y1=\\\"275\\\" x2=\\\"536\\\" y2=\\\"282\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"586\\\" y1=\\\"305\\\" x2=\\\"589\\\" y2=\\\"310\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"586\\\" y1=\\\"305\\\" x2=\\\"583\\\" y2=\\\"300\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"586\\\" y1=\\\"305\\\" x2=\\\"591\\\" y2=\\\"305\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"586\\\" y1=\\\"305\\\" x2=\\\"588\\\" y2=\\\"300\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"586\\\" y1=\\\"305\\\" x2=\\\"583\\\" y2=\\\"312\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"586\\\" y1=\\\"305\\\" x2=\\\"580\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"214\\\" x2=\\\"283\\\" y2=\\\"211\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"214\\\" x2=\\\"273\\\" y2=\\\"200\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"214\\\" x2=\\\"274\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"214\\\" x2=\\\"264\\\" y2=\\\"209\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"214\\\" x2=\\\"264\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"214\\\" x2=\\\"269\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"214\\\" x2=\\\"264\\\" y2=\\\"214\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"211\\\" x2=\\\"291\\\" y2=\\\"221\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"211\\\" x2=\\\"273\\\" y2=\\\"200\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"211\\\" x2=\\\"295\\\" y2=\\\"207\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"211\\\" x2=\\\"274\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"284\\\" y1=\\\"234\\\" x2=\\\"282\\\" y2=\\\"229\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"284\\\" y1=\\\"234\\\" x2=\\\"288\\\" y2=\\\"227\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"284\\\" y1=\\\"234\\\" x2=\\\"287\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"284\\\" y1=\\\"234\\\" x2=\\\"293\\\" y2=\\\"236\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"284\\\" y1=\\\"234\\\" x2=\\\"290\\\" y2=\\\"232\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"291\\\" y1=\\\"221\\\" x2=\\\"295\\\" y2=\\\"207\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"291\\\" y1=\\\"221\\\" x2=\\\"296\\\" y2=\\\"229\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"291\\\" y1=\\\"221\\\" x2=\\\"288\\\" y2=\\\"227\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"225\\\" x2=\\\"274\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"225\\\" x2=\\\"274\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"225\\\" x2=\\\"264\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"225\\\" x2=\\\"264\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"225\\\" x2=\\\"269\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"289\\\" y1=\\\"277\\\" x2=\\\"294\\\" y2=\\\"268\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"289\\\" y1=\\\"277\\\" x2=\\\"284\\\" y2=\\\"286\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"289\\\" y1=\\\"277\\\" x2=\\\"297\\\" y2=\\\"275\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"289\\\" y1=\\\"277\\\" x2=\\\"292\\\" y2=\\\"284\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"304\\\" y1=\\\"274\\\" x2=\\\"313\\\" y2=\\\"279\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"304\\\" y1=\\\"274\\\" x2=\\\"302\\\" y2=\\\"267\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"304\\\" y1=\\\"274\\\" x2=\\\"311\\\" y2=\\\"272\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"304\\\" y1=\\\"274\\\" x2=\\\"297\\\" y2=\\\"275\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"304\\\" y1=\\\"274\\\" x2=\\\"306\\\" y2=\\\"269\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"304\\\" y1=\\\"274\\\" x2=\\\"299\\\" y2=\\\"283\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"251\\\" x2=\\\"297\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"251\\\" x2=\\\"292\\\" y2=\\\"247\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"251\\\" x2=\\\"300\\\" y2=\\\"250\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"251\\\" x2=\\\"298\\\" y2=\\\"246\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"306\\\" y1=\\\"250\\\" x2=\\\"316\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"306\\\" y1=\\\"250\\\" x2=\\\"303\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"306\\\" y1=\\\"250\\\" x2=\\\"307\\\" y2=\\\"240\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"306\\\" y1=\\\"250\\\" x2=\\\"300\\\" y2=\\\"250\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"306\\\" y1=\\\"250\\\" x2=\\\"307\\\" y2=\\\"257\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"306\\\" y1=\\\"250\\\" x2=\\\"304\\\" y2=\\\"245\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"309\\\" y1=\\\"264\\\" x2=\\\"316\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"309\\\" y1=\\\"264\\\" x2=\\\"302\\\" y2=\\\"267\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"309\\\" y1=\\\"264\\\" x2=\\\"304\\\" y2=\\\"262\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"309\\\" y1=\\\"264\\\" x2=\\\"311\\\" y2=\\\"272\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"309\\\" y1=\\\"264\\\" x2=\\\"306\\\" y2=\\\"269\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"309\\\" y1=\\\"264\\\" x2=\\\"307\\\" y2=\\\"257\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"309\\\" x2=\\\"273\\\" y2=\\\"322\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"309\\\" x2=\\\"274\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"309\\\" x2=\\\"264\\\" y2=\\\"316\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"309\\\" x2=\\\"264\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"309\\\" x2=\\\"276\\\" y2=\\\"308\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"309\\\" x2=\\\"269\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"309\\\" x2=\\\"264\\\" y2=\\\"309\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"309\\\" x2=\\\"278\\\" y2=\\\"315\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"291\\\" x2=\\\"298\\\" y2=\\\"305\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"291\\\" x2=\\\"287\\\" y2=\\\"293\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"291\\\" x2=\\\"292\\\" y2=\\\"284\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"291\\\" x2=\\\"299\\\" y2=\\\"283\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"291\\\" x2=\\\"289\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"308\\\" x2=\\\"298\\\" y2=\\\"305\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"308\\\" x2=\\\"281\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"308\\\" x2=\\\"276\\\" y2=\\\"308\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"308\\\" x2=\\\"289\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"308\\\" x2=\\\"278\\\" y2=\\\"315\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"294\\\" x2=\\\"274\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"294\\\" x2=\\\"274\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"294\\\" x2=\\\"264\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"294\\\" x2=\\\"264\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"294\\\" x2=\\\"269\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"277\\\" x2=\\\"234\\\" y2=\\\"286\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"277\\\" x2=\\\"224\\\" y2=\\\"268\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"277\\\" x2=\\\"227\\\" y2=\\\"284\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"277\\\" x2=\\\"222\\\" y2=\\\"275\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"225\\\" y1=\\\"291\\\" x2=\\\"229\\\" y2=\\\"304\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"225\\\" y1=\\\"291\\\" x2=\\\"215\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"225\\\" y1=\\\"291\\\" x2=\\\"232\\\" y2=\\\"293\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"225\\\" y1=\\\"291\\\" x2=\\\"227\\\" y2=\\\"284\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"225\\\" y1=\\\"291\\\" x2=\\\"220\\\" y2=\\\"282\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"304\\\" x2=\\\"240\\\" y2=\\\"304\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"304\\\" x2=\\\"215\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"304\\\" x2=\\\"230\\\" y2=\\\"314\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"304\\\" x2=\\\"232\\\" y2=\\\"293\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"304\\\" x2=\\\"234\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"240\\\" y1=\\\"304\\\" x2=\\\"230\\\" y2=\\\"314\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"240\\\" y1=\\\"304\\\" x2=\\\"234\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"240\\\" y1=\\\"304\\\" x2=\\\"239\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"240\\\" y1=\\\"304\\\" x2=\\\"245\\\" y2=\\\"310\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"240\\\" y1=\\\"304\\\" x2=\\\"244\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"240\\\" y1=\\\"304\\\" x2=\\\"245\\\" y2=\\\"304\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"294\\\" x2=\\\"244\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"294\\\" x2=\\\"254\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"294\\\" x2=\\\"244\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"294\\\" x2=\\\"249\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"274\\\" x2=\\\"204\\\" y2=\\\"279\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"274\\\" x2=\\\"217\\\" y2=\\\"267\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"274\\\" x2=\\\"207\\\" y2=\\\"272\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"274\\\" x2=\\\"222\\\" y2=\\\"275\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"274\\\" x2=\\\"220\\\" y2=\\\"282\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"274\\\" x2=\\\"212\\\" y2=\\\"269\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"251\\\" x2=\\\"222\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"251\\\" x2=\\\"227\\\" y2=\\\"247\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"251\\\" x2=\\\"217\\\" y2=\\\"252\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"251\\\" x2=\\\"220\\\" y2=\\\"247\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"210\\\" y1=\\\"252\\\" x2=\\\"200\\\" y2=\\\"258\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"210\\\" y1=\\\"252\\\" x2=\\\"215\\\" y2=\\\"256\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"210\\\" y1=\\\"252\\\" x2=\\\"208\\\" y2=\\\"244\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"210\\\" y1=\\\"252\\\" x2=\\\"217\\\" y2=\\\"252\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"210\\\" y1=\\\"252\\\" x2=\\\"209\\\" y2=\\\"259\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"210\\\" y1=\\\"252\\\" x2=\\\"213\\\" y2=\\\"248\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"209\\\" y1=\\\"265\\\" x2=\\\"200\\\" y2=\\\"258\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"209\\\" y1=\\\"265\\\" x2=\\\"217\\\" y2=\\\"267\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"209\\\" y1=\\\"265\\\" x2=\\\"214\\\" y2=\\\"262\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"209\\\" y1=\\\"265\\\" x2=\\\"207\\\" y2=\\\"272\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"209\\\" y1=\\\"265\\\" x2=\\\"212\\\" y2=\\\"269\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"209\\\" y1=\\\"265\\\" x2=\\\"209\\\" y2=\\\"259\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"236\\\" y1=\\\"207\\\" x2=\\\"249\\\" y2=\\\"214\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"236\\\" y1=\\\"207\\\" x2=\\\"227\\\" y2=\\\"216\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"236\\\" y1=\\\"207\\\" x2=\\\"246\\\" y2=\\\"196\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"236\\\" y1=\\\"207\\\" x2=\\\"224\\\" y2=\\\"198\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"236\\\" y1=\\\"207\\\" x2=\\\"238\\\" y2=\\\"216\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"236\\\" y1=\\\"207\\\" x2=\\\"248\\\" y2=\\\"205\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"214\\\" x2=\\\"238\\\" y2=\\\"216\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"214\\\" x2=\\\"244\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"214\\\" x2=\\\"254\\\" y2=\\\"209\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"214\\\" x2=\\\"254\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"214\\\" x2=\\\"249\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"214\\\" x2=\\\"248\\\" y2=\\\"205\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"214\\\" x2=\\\"254\\\" y2=\\\"214\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"227\\\" y1=\\\"216\\\" x2=\\\"222\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"227\\\" y1=\\\"216\\\" x2=\\\"238\\\" y2=\\\"216\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"227\\\" y1=\\\"216\\\" x2=\\\"231\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"234\\\" y1=\\\"234\\\" x2=\\\"237\\\" y2=\\\"229\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"234\\\" y1=\\\"234\\\" x2=\\\"231\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"234\\\" y1=\\\"234\\\" x2=\\\"232\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"234\\\" y1=\\\"234\\\" x2=\\\"226\\\" y2=\\\"233\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"234\\\" y1=\\\"234\\\" x2=\\\"228\\\" y2=\\\"229\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"225\\\" x2=\\\"244\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"225\\\" x2=\\\"244\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"225\\\" x2=\\\"254\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"225\\\" x2=\\\"254\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"225\\\" x2=\\\"249\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"366\\\" y1=\\\"242\\\" x2=\\\"355\\\" y2=\\\"230\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"366\\\" y1=\\\"242\\\" x2=\\\"355\\\" y2=\\\"250\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"223\\\" y1=\\\"175\\\" x2=\\\"204\\\" y2=\\\"175\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"223\\\" y1=\\\"175\\\" x2=\\\"228\\\" y2=\\\"165\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"223\\\" y1=\\\"175\\\" x2=\\\"215\\\" y2=\\\"189\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"223\\\" y1=\\\"175\\\" x2=\\\"239\\\" y2=\\\"180\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"204\\\" y1=\\\"175\\\" x2=\\\"215\\\" y2=\\\"189\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"357\\\" y1=\\\"201\\\" x2=\\\"351\\\" y2=\\\"211\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"162\\\" y1=\\\"173\\\" x2=\\\"174\\\" y2=\\\"178\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"162\\\" y1=\\\"173\\\" x2=\\\"147\\\" y2=\\\"167\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"180\\\" y1=\\\"190\\\" x2=\\\"174\\\" y2=\\\"178\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"180\\\" y1=\\\"190\\\" x2=\\\"186\\\" y2=\\\"200\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"156\\\" y1=\\\"204\\\" x2=\\\"140\\\" y2=\\\"198\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"156\\\" y1=\\\"204\\\" x2=\\\"161\\\" y2=\\\"214\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"262\\\" y1=\\\"188\\\" x2=\\\"276\\\" y2=\\\"185\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"262\\\" y1=\\\"188\\\" x2=\\\"273\\\" y2=\\\"200\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"262\\\" y1=\\\"188\\\" x2=\\\"252\\\" y2=\\\"187\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"254\\\" y1=\\\"161\\\" x2=\\\"255\\\" y2=\\\"172\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"278\\\" y1=\\\"165\\\" x2=\\\"276\\\" y2=\\\"185\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"278\\\" y1=\\\"165\\\" x2=\\\"289\\\" y2=\\\"177\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"276\\\" y1=\\\"185\\\" x2=\\\"273\\\" y2=\\\"200\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"276\\\" y1=\\\"185\\\" x2=\\\"289\\\" y2=\\\"177\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"255\\\" y1=\\\"172\\\" x2=\\\"252\\\" y2=\\\"187\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"365\\\" y1=\\\"282\\\" x2=\\\"354\\\" y2=\\\"272\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"340\\\" y1=\\\"269\\\" x2=\\\"354\\\" y2=\\\"272\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"340\\\" y1=\\\"269\\\" x2=\\\"333\\\" y2=\\\"277\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"340\\\" y1=\\\"269\\\" x2=\\\"346\\\" y2=\\\"257\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"340\\\" y1=\\\"269\\\" x2=\\\"325\\\" y2=\\\"261\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"348\\\" y1=\\\"301\\\" x2=\\\"338\\\" y2=\\\"291\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"348\\\" y1=\\\"301\\\" x2=\\\"339\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"354\\\" y1=\\\"272\\\" x2=\\\"346\\\" y2=\\\"257\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"338\\\" y1=\\\"291\\\" x2=\\\"333\\\" y2=\\\"277\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"333\\\" y1=\\\"277\\\" x2=\\\"324\\\" y2=\\\"284\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"199\\\" y1=\\\"298\\\" x2=\\\"204\\\" y2=\\\"311\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"199\\\" y1=\\\"298\\\" x2=\\\"186\\\" y2=\\\"296\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"199\\\" y1=\\\"298\\\" x2=\\\"215\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"199\\\" y1=\\\"298\\\" x2=\\\"196\\\" y2=\\\"286\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"204\\\" y1=\\\"311\\\" x2=\\\"193\\\" y2=\\\"323\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"204\\\" y1=\\\"311\\\" x2=\\\"215\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"204\\\" y1=\\\"311\\\" x2=\\\"209\\\" y2=\\\"325\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"193\\\" y1=\\\"323\\\" x2=\\\"183\\\" y2=\\\"322\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"193\\\" y1=\\\"323\\\" x2=\\\"209\\\" y2=\\\"325\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"186\\\" y1=\\\"296\\\" x2=\\\"196\\\" y2=\\\"286\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"186\\\" y1=\\\"296\\\" x2=\\\"173\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"271\\\" y1=\\\"336\\\" x2=\\\"268\\\" y2=\\\"350\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"271\\\" y1=\\\"336\\\" x2=\\\"285\\\" y2=\\\"335\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"271\\\" y1=\\\"336\\\" x2=\\\"256\\\" y2=\\\"338\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"271\\\" y1=\\\"336\\\" x2=\\\"273\\\" y2=\\\"322\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"299\\\" y1=\\\"349\\\" x2=\\\"293\\\" y2=\\\"341\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"268\\\" y1=\\\"350\\\" x2=\\\"275\\\" y2=\\\"362\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"268\\\" y1=\\\"350\\\" x2=\\\"256\\\" y2=\\\"338\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"285\\\" y1=\\\"335\\\" x2=\\\"293\\\" y2=\\\"341\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"285\\\" y1=\\\"335\\\" x2=\\\"273\\\" y2=\\\"322\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"285\\\" y1=\\\"335\\\" x2=\\\"295\\\" y2=\\\"327\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"341\\\" x2=\\\"295\\\" y2=\\\"327\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"330\\\" y1=\\\"237\\\" x2=\\\"320\\\" y2=\\\"230\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"330\\\" y1=\\\"237\\\" x2=\\\"339\\\" y2=\\\"230\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"330\\\" y1=\\\"237\\\" x2=\\\"323\\\" y2=\\\"247\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"330\\\" y1=\\\"237\\\" x2=\\\"341\\\" y2=\\\"247\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"343\\\" y1=\\\"220\\\" x2=\\\"335\\\" y2=\\\"211\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"343\\\" y1=\\\"220\\\" x2=\\\"339\\\" y2=\\\"230\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"343\\\" y1=\\\"220\\\" x2=\\\"351\\\" y2=\\\"211\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"343\\\" y1=\\\"220\\\" x2=\\\"355\\\" y2=\\\"230\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"315\\\" y1=\\\"219\\\" x2=\\\"320\\\" y2=\\\"230\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"315\\\" y1=\\\"219\\\" x2=\\\"322\\\" y2=\\\"210\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"315\\\" y1=\\\"219\\\" x2=\\\"308\\\" y2=\\\"228\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"315\\\" y1=\\\"219\\\" x2=\\\"310\\\" y2=\\\"208\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"335\\\" y1=\\\"211\\\" x2=\\\"322\\\" y2=\\\"210\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"335\\\" y1=\\\"211\\\" x2=\\\"351\\\" y2=\\\"211\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"335\\\" y1=\\\"211\\\" x2=\\\"330\\\" y2=\\\"201\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"320\\\" y1=\\\"230\\\" x2=\\\"308\\\" y2=\\\"228\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"322\\\" y1=\\\"210\\\" x2=\\\"310\\\" y2=\\\"208\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"322\\\" y1=\\\"210\\\" x2=\\\"330\\\" y2=\\\"201\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"243\\\" y1=\\\"331\\\" x2=\\\"240\\\" y2=\\\"346\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"243\\\" y1=\\\"331\\\" x2=\\\"233\\\" y2=\\\"327\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"243\\\" y1=\\\"331\\\" x2=\\\"256\\\" y2=\\\"338\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"243\\\" y1=\\\"331\\\" x2=\\\"250\\\" y2=\\\"319\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"240\\\" y1=\\\"346\\\" x2=\\\"256\\\" y2=\\\"338\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"223\\\" y1=\\\"326\\\" x2=\\\"212\\\" y2=\\\"338\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"223\\\" y1=\\\"326\\\" x2=\\\"233\\\" y2=\\\"327\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"223\\\" y1=\\\"326\\\" x2=\\\"209\\\" y2=\\\"325\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"223\\\" y1=\\\"326\\\" x2=\\\"230\\\" y2=\\\"314\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"338\\\" x2=\\\"209\\\" y2=\\\"325\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"233\\\" y1=\\\"327\\\" x2=\\\"230\\\" y2=\\\"314\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"300\\\" y1=\\\"168\\\" x2=\\\"298\\\" y2=\\\"188\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"300\\\" y1=\\\"168\\\" x2=\\\"289\\\" y2=\\\"177\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"298\\\" y1=\\\"188\\\" x2=\\\"314\\\" y2=\\\"189\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"298\\\" y1=\\\"188\\\" x2=\\\"289\\\" y2=\\\"177\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"298\\\" y1=\\\"188\\\" x2=\\\"302\\\" y2=\\\"199\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"314\\\" y1=\\\"189\\\" x2=\\\"302\\\" y2=\\\"199\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"314\\\" y1=\\\"189\\\" x2=\\\"325\\\" y2=\\\"191\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"333\\\" y1=\\\"317\\\" x2=\\\"323\\\" y2=\\\"308\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"333\\\" y1=\\\"317\\\" x2=\\\"339\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"313\\\" y1=\\\"303\\\" x2=\\\"302\\\" y2=\\\"319\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"313\\\" y1=\\\"303\\\" x2=\\\"323\\\" y2=\\\"308\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"313\\\" y1=\\\"303\\\" x2=\\\"298\\\" y2=\\\"305\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"313\\\" y1=\\\"303\\\" x2=\\\"319\\\" y2=\\\"293\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"302\\\" y1=\\\"319\\\" x2=\\\"310\\\" y2=\\\"325\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"302\\\" y1=\\\"319\\\" x2=\\\"298\\\" y2=\\\"305\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"302\\\" y1=\\\"319\\\" x2=\\\"295\\\" y2=\\\"327\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"323\\\" y1=\\\"308\\\" x2=\\\"319\\\" y2=\\\"293\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"310\\\" y1=\\\"325\\\" x2=\\\"319\\\" y2=\\\"333\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"196\\\" y1=\\\"206\\\" x2=\\\"205\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"196\\\" y1=\\\"206\\\" x2=\\\"185\\\" y2=\\\"217\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"196\\\" y1=\\\"206\\\" x2=\\\"206\\\" y2=\\\"198\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"196\\\" y1=\\\"206\\\" x2=\\\"186\\\" y2=\\\"200\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"228\\\" x2=\\\"185\\\" y2=\\\"217\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"228\\\" x2=\\\"172\\\" y2=\\\"222\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"228\\\" x2=\\\"185\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"205\\\" y1=\\\"215\\\" x2=\\\"212\\\" y2=\\\"232\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"205\\\" y1=\\\"215\\\" x2=\\\"206\\\" y2=\\\"198\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"205\\\" y1=\\\"215\\\" x2=\\\"214\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"185\\\" y1=\\\"217\\\" x2=\\\"172\\\" y2=\\\"222\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"232\\\" x2=\\\"198\\\" y2=\\\"234\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"232\\\" x2=\\\"214\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"232\\\" x2=\\\"221\\\" y2=\\\"237\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"232\\\" x2=\\\"207\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"232\\\" x2=\\\"217\\\" y2=\\\"228\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"212\\\" y1=\\\"232\\\" x2=\\\"214\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"198\\\" y1=\\\"234\\\" x2=\\\"185\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"198\\\" y1=\\\"234\\\" x2=\\\"207\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"175\\\" y1=\\\"246\\\" x2=\\\"171\\\" y2=\\\"260\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"175\\\" y1=\\\"246\\\" x2=\\\"185\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"175\\\" y1=\\\"246\\\" x2=\\\"164\\\" y2=\\\"248\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"271\\\" x2=\\\"190\\\" y2=\\\"264\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"271\\\" x2=\\\"171\\\" y2=\\\"260\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"271\\\" x2=\\\"190\\\" y2=\\\"277\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"182\\\" y1=\\\"271\\\" x2=\\\"171\\\" y2=\\\"273\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"191\\\" y1=\\\"251\\\" x2=\\\"190\\\" y2=\\\"264\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"191\\\" y1=\\\"251\\\" x2=\\\"185\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"191\\\" y1=\\\"251\\\" x2=\\\"200\\\" y2=\\\"258\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"190\\\" y1=\\\"264\\\" x2=\\\"190\\\" y2=\\\"277\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"190\\\" y1=\\\"264\\\" x2=\\\"200\\\" y2=\\\"258\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"171\\\" y1=\\\"260\\\" x2=\\\"164\\\" y2=\\\"248\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"171\\\" y1=\\\"260\\\" x2=\\\"171\\\" y2=\\\"273\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"189\\\" x2=\\\"224\\\" y2=\\\"198\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"189\\\" x2=\\\"206\\\" y2=\\\"198\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"246\\\" y1=\\\"196\\\" x2=\\\"252\\\" y2=\\\"187\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"246\\\" y1=\\\"196\\\" x2=\\\"248\\\" y2=\\\"205\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"180\\\" x2=\\\"252\\\" y2=\\\"187\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"273\\\" y1=\\\"322\\\" x2=\\\"264\\\" y2=\\\"316\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"273\\\" y1=\\\"322\\\" x2=\\\"278\\\" y2=\\\"315\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"250\\\" y1=\\\"319\\\" x2=\\\"259\\\" y2=\\\"309\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"250\\\" y1=\\\"319\\\" x2=\\\"250\\\" y2=\\\"312\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"309\\\" x2=\\\"264\\\" y2=\\\"316\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"309\\\" x2=\\\"264\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"309\\\" x2=\\\"259\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"309\\\" x2=\\\"264\\\" y2=\\\"309\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"309\\\" x2=\\\"250\\\" y2=\\\"312\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"309\\\" x2=\\\"254\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"346\\\" y1=\\\"257\\\" x2=\\\"341\\\" y2=\\\"247\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"346\\\" y1=\\\"257\\\" x2=\\\"355\\\" y2=\\\"250\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"323\\\" y1=\\\"247\\\" x2=\\\"325\\\" y2=\\\"261\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"323\\\" y1=\\\"247\\\" x2=\\\"316\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"341\\\" y1=\\\"247\\\" x2=\\\"355\\\" y2=\\\"250\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"325\\\" y1=\\\"261\\\" x2=\\\"316\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"298\\\" y1=\\\"305\\\" x2=\\\"289\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"319\\\" y1=\\\"293\\\" x2=\\\"324\\\" y2=\\\"284\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"313\\\" y1=\\\"279\\\" x2=\\\"324\\\" y2=\\\"284\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"313\\\" y1=\\\"279\\\" x2=\\\"311\\\" y2=\\\"272\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"273\\\" y1=\\\"200\\\" x2=\\\"264\\\" y2=\\\"209\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"214\\\" x2=\\\"264\\\" y2=\\\"209\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"214\\\" x2=\\\"254\\\" y2=\\\"209\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"214\\\" x2=\\\"264\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"214\\\" x2=\\\"254\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"214\\\" x2=\\\"259\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"214\\\" x2=\\\"264\\\" y2=\\\"214\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"214\\\" x2=\\\"254\\\" y2=\\\"214\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"196\\\" y1=\\\"286\\\" x2=\\\"204\\\" y2=\\\"279\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"196\\\" y1=\\\"286\\\" x2=\\\"190\\\" y2=\\\"277\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"204\\\" y1=\\\"279\\\" x2=\\\"190\\\" y2=\\\"277\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"204\\\" y1=\\\"279\\\" x2=\\\"207\\\" y2=\\\"272\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"161\\\" y1=\\\"214\\\" x2=\\\"172\\\" y2=\\\"222\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"295\\\" y1=\\\"207\\\" x2=\\\"302\\\" y2=\\\"199\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"295\\\" y1=\\\"207\\\" x2=\\\"310\\\" y2=\\\"208\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"302\\\" y1=\\\"199\\\" x2=\\\"310\\\" y2=\\\"208\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"222\\\" y1=\\\"225\\\" x2=\\\"231\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"222\\\" y1=\\\"225\\\" x2=\\\"214\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"222\\\" y1=\\\"225\\\" x2=\\\"221\\\" y2=\\\"237\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"222\\\" y1=\\\"225\\\" x2=\\\"226\\\" y2=\\\"233\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"222\\\" y1=\\\"225\\\" x2=\\\"228\\\" y2=\\\"229\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"222\\\" y1=\\\"225\\\" x2=\\\"217\\\" y2=\\\"228\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"296\\\" y1=\\\"229\\\" x2=\\\"308\\\" y2=\\\"228\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"296\\\" y1=\\\"229\\\" x2=\\\"288\\\" y2=\\\"227\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"296\\\" y1=\\\"229\\\" x2=\\\"293\\\" y2=\\\"236\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"296\\\" y1=\\\"229\\\" x2=\\\"290\\\" y2=\\\"232\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"296\\\" y1=\\\"229\\\" x2=\\\"299\\\" y2=\\\"235\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"296\\\" y1=\\\"229\\\" x2=\\\"305\\\" y2=\\\"235\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"301\\\" y1=\\\"241\\\" x2=\\\"295\\\" y2=\\\"242\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"301\\\" y1=\\\"241\\\" x2=\\\"307\\\" y2=\\\"240\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"301\\\" y1=\\\"241\\\" x2=\\\"298\\\" y2=\\\"246\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"301\\\" y1=\\\"241\\\" x2=\\\"304\\\" y2=\\\"245\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"301\\\" y1=\\\"241\\\" x2=\\\"299\\\" y2=\\\"235\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"301\\\" y1=\\\"241\\\" x2=\\\"305\\\" y2=\\\"235\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"308\\\" y1=\\\"228\\\" x2=\\\"305\\\" y2=\\\"235\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"330\\\" y1=\\\"201\\\" x2=\\\"325\\\" y2=\\\"191\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"316\\\" y1=\\\"255\\\" x2=\\\"307\\\" y2=\\\"257\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"243\\\" x2=\\\"221\\\" y2=\\\"237\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"243\\\" x2=\\\"222\\\" y2=\\\"243\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"243\\\" x2=\\\"207\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"243\\\" x2=\\\"208\\\" y2=\\\"244\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"243\\\" x2=\\\"220\\\" y2=\\\"247\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"243\\\" x2=\\\"213\\\" y2=\\\"248\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"243\\\" x2=\\\"214\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"200\\\" y1=\\\"258\\\" x2=\\\"209\\\" y2=\\\"259\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"250\\\" y1=\\\"304\\\" x2=\\\"245\\\" y2=\\\"310\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"250\\\" y1=\\\"304\\\" x2=\\\"254\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"250\\\" y1=\\\"304\\\" x2=\\\"245\\\" y2=\\\"304\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"250\\\" y1=\\\"304\\\" x2=\\\"249\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"250\\\" y1=\\\"304\\\" x2=\\\"250\\\" y2=\\\"312\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"250\\\" y1=\\\"304\\\" x2=\\\"254\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"612\\\" y1=\\\"537\\\" x2=\\\"602\\\" y2=\\\"530\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"612\\\" y1=\\\"537\\\" x2=\\\"614\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"612\\\" y1=\\\"537\\\" x2=\\\"617\\\" y2=\\\"546\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"612\\\" y1=\\\"537\\\" x2=\\\"608\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"602\\\" y1=\\\"530\\\" x2=\\\"614\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"602\\\" y1=\\\"530\\\" x2=\\\"592\\\" y2=\\\"530\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"602\\\" y1=\\\"530\\\" x2=\\\"596\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"545\\\" x2=\\\"594\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"545\\\" x2=\\\"596\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"545\\\" x2=\\\"584\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"545\\\" x2=\\\"586\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"545\\\" x2=\\\"591\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"554\\\" x2=\\\"602\\\" y2=\\\"549\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"554\\\" x2=\\\"608\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"554\\\" x2=\\\"607\\\" y2=\\\"558\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"554\\\" x2=\\\"613\\\" y2=\\\"554\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"554\\\" x2=\\\"610\\\" y2=\\\"550\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"639\\\" y1=\\\"578\\\" x2=\\\"650\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"639\\\" y1=\\\"578\\\" x2=\\\"648\\\" y2=\\\"569\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"639\\\" y1=\\\"578\\\" x2=\\\"629\\\" y2=\\\"579\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"639\\\" y1=\\\"578\\\" x2=\\\"638\\\" y2=\\\"569\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"639\\\" y1=\\\"578\\\" x2=\\\"635\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"639\\\" y1=\\\"578\\\" x2=\\\"634\\\" y2=\\\"574\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"639\\\" y1=\\\"578\\\" x2=\\\"640\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"630\\\" y1=\\\"594\\\" x2=\\\"625\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"630\\\" y1=\\\"594\\\" x2=\\\"636\\\" y2=\\\"601\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"630\\\" y1=\\\"594\\\" x2=\\\"620\\\" y2=\\\"596\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"630\\\" y1=\\\"594\\\" x2=\\\"635\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"630\\\" y1=\\\"594\\\" x2=\\\"622\\\" y2=\\\"591\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"630\\\" y1=\\\"594\\\" x2=\\\"640\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"630\\\" y1=\\\"594\\\" x2=\\\"628\\\" y2=\\\"598\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"570\\\" x2=\\\"629\\\" y2=\\\"579\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"570\\\" x2=\\\"624\\\" y2=\\\"575\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"570\\\" x2=\\\"621\\\" y2=\\\"571\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"570\\\" x2=\\\"638\\\" y2=\\\"569\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"570\\\" x2=\\\"631\\\" y2=\\\"561\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"570\\\" x2=\\\"634\\\" y2=\\\"574\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"570\\\" x2=\\\"626\\\" y2=\\\"566\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"614\\\" y1=\\\"588\\\" x2=\\\"625\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"614\\\" y1=\\\"588\\\" x2=\\\"617\\\" y2=\\\"584\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"614\\\" y1=\\\"588\\\" x2=\\\"620\\\" y2=\\\"596\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"614\\\" y1=\\\"588\\\" x2=\\\"612\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"614\\\" y1=\\\"588\\\" x2=\\\"622\\\" y2=\\\"591\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"614\\\" y1=\\\"571\\\" x2=\\\"617\\\" y2=\\\"575\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"614\\\" y1=\\\"571\\\" x2=\\\"621\\\" y2=\\\"571\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"614\\\" y1=\\\"571\\\" x2=\\\"612\\\" y2=\\\"567\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"614\\\" y1=\\\"571\\\" x2=\\\"616\\\" y2=\\\"562\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"614\\\" y1=\\\"571\\\" x2=\\\"619\\\" y2=\\\"566\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"596\\\" y1=\\\"626\\\" x2=\\\"607\\\" y2=\\\"632\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"596\\\" y1=\\\"626\\\" x2=\\\"598\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"596\\\" y1=\\\"626\\\" x2=\\\"589\\\" y2=\\\"632\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"596\\\" y1=\\\"626\\\" x2=\\\"603\\\" y2=\\\"623\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"596\\\" y1=\\\"626\\\" x2=\\\"593\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"596\\\" y1=\\\"626\\\" x2=\\\"591\\\" y2=\\\"626\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"620\\\" x2=\\\"607\\\" y2=\\\"632\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"620\\\" x2=\\\"605\\\" y2=\\\"617\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"620\\\" x2=\\\"608\\\" y2=\\\"613\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"620\\\" x2=\\\"619\\\" y2=\\\"618\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"620\\\" x2=\\\"603\\\" y2=\\\"623\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"611\\\" y1=\\\"620\\\" x2=\\\"613\\\" y2=\\\"615\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"606\\\" x2=\\\"602\\\" y2=\\\"610\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"606\\\" x2=\\\"608\\\" y2=\\\"613\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"606\\\" x2=\\\"607\\\" y2=\\\"601\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"606\\\" x2=\\\"613\\\" y2=\\\"604\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"606\\\" x2=\\\"610\\\" y2=\\\"608\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"614\\\" x2=\\\"594\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"614\\\" x2=\\\"584\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"614\\\" x2=\\\"593\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"614\\\" x2=\\\"588\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"597\\\" x2=\\\"554\\\" y2=\\\"606\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"597\\\" x2=\\\"544\\\" y2=\\\"588\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"597\\\" x2=\\\"547\\\" y2=\\\"604\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"597\\\" x2=\\\"542\\\" y2=\\\"595\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"611\\\" x2=\\\"545\\\" y2=\\\"623\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"611\\\" x2=\\\"552\\\" y2=\\\"613\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"611\\\" x2=\\\"552\\\" y2=\\\"619\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"611\\\" x2=\\\"547\\\" y2=\\\"604\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"611\\\" x2=\\\"540\\\" y2=\\\"603\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"556\\\" y1=\\\"628\\\" x2=\\\"545\\\" y2=\\\"623\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"556\\\" y1=\\\"628\\\" x2=\\\"542\\\" y2=\\\"637\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"556\\\" y1=\\\"628\\\" x2=\\\"566\\\" y2=\\\"628\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"556\\\" y1=\\\"628\\\" x2=\\\"552\\\" y2=\\\"619\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"556\\\" y1=\\\"628\\\" x2=\\\"563\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"623\\\" x2=\\\"530\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"623\\\" x2=\\\"542\\\" y2=\\\"637\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"623\\\" x2=\\\"552\\\" y2=\\\"619\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"614\\\" x2=\\\"564\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"614\\\" x2=\\\"563\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"614\\\" x2=\\\"574\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"614\\\" x2=\\\"573\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"614\\\" x2=\\\"568\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"566\\\" x2=\\\"517\\\" y2=\\\"567\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"566\\\" x2=\\\"535\\\" y2=\\\"573\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"566\\\" x2=\\\"527\\\" y2=\\\"559\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"566\\\" x2=\\\"520\\\" y2=\\\"559\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"566\\\" x2=\\\"540\\\" y2=\\\"564\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"566\\\" x2=\\\"528\\\" y2=\\\"573\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"566\\\" x2=\\\"538\\\" y2=\\\"568\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"566\\\" x2=\\\"534\\\" y2=\\\"561\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"594\\\" x2=\\\"521\\\" y2=\\\"595\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"594\\\" x2=\\\"537\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"594\\\" x2=\\\"542\\\" y2=\\\"595\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"594\\\" x2=\\\"540\\\" y2=\\\"603\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"594\\\" x2=\\\"530\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"525\\\" y1=\\\"581\\\" x2=\\\"517\\\" y2=\\\"567\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"525\\\" y1=\\\"581\\\" x2=\\\"521\\\" y2=\\\"595\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"525\\\" y1=\\\"581\\\" x2=\\\"532\\\" y2=\\\"580\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"525\\\" y1=\\\"581\\\" x2=\\\"528\\\" y2=\\\"573\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"525\\\" y1=\\\"581\\\" x2=\\\"530\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"544\\\" y1=\\\"571\\\" x2=\\\"535\\\" y2=\\\"573\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"544\\\" y1=\\\"571\\\" x2=\\\"542\\\" y2=\\\"575\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"544\\\" y1=\\\"571\\\" x2=\\\"540\\\" y2=\\\"564\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"544\\\" y1=\\\"571\\\" x2=\\\"547\\\" y2=\\\"567\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"544\\\" y1=\\\"571\\\" x2=\\\"538\\\" y2=\\\"568\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"548\\\" x2=\\\"548\\\" y2=\\\"536\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"548\\\" x2=\\\"530\\\" y2=\\\"540\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"548\\\" x2=\\\"550\\\" y2=\\\"547\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"548\\\" x2=\\\"532\\\" y2=\\\"550\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"548\\\" x2=\\\"545\\\" y2=\\\"555\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"548\\\" x2=\\\"548\\\" y2=\\\"551\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"548\\\" x2=\\\"539\\\" y2=\\\"553\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"548\\\" y1=\\\"536\\\" x2=\\\"559\\\" y2=\\\"530\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"548\\\" y1=\\\"536\\\" x2=\\\"530\\\" y2=\\\"540\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"548\\\" y1=\\\"536\\\" x2=\\\"548\\\" y2=\\\"521\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"548\\\" y1=\\\"536\\\" x2=\\\"550\\\" y2=\\\"547\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"530\\\" x2=\\\"548\\\" y2=\\\"521\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"530\\\" x2=\\\"569\\\" y2=\\\"530\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"559\\\" y1=\\\"530\\\" x2=\\\"564\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"545\\\" x2=\\\"564\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"545\\\" x2=\\\"564\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"545\\\" x2=\\\"574\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"545\\\" x2=\\\"574\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"545\\\" x2=\\\"569\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"554\\\" x2=\\\"550\\\" y2=\\\"547\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"554\\\" x2=\\\"557\\\" y2=\\\"549\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"554\\\" x2=\\\"545\\\" y2=\\\"555\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"554\\\" x2=\\\"552\\\" y2=\\\"558\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"554\\\" x2=\\\"548\\\" y2=\\\"551\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"513\\\" y1=\\\"478\\\" x2=\\\"523\\\" y2=\\\"486\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"700\\\" y1=\\\"541\\\" x2=\\\"688\\\" y2=\\\"546\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"613\\\" y1=\\\"668\\\" x2=\\\"624\\\" y2=\\\"677\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"613\\\" y1=\\\"668\\\" x2=\\\"601\\\" y2=\\\"682\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"613\\\" y1=\\\"668\\\" x2=\\\"626\\\" y2=\\\"658\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"613\\\" y1=\\\"668\\\" x2=\\\"603\\\" y2=\\\"663\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"597\\\" y1=\\\"693\\\" x2=\\\"601\\\" y2=\\\"682\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"677\\\" x2=\\\"626\\\" y2=\\\"658\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"684\\\" y1=\\\"609\\\" x2=\\\"672\\\" y2=\\\"610\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"684\\\" y1=\\\"609\\\" x2=\\\"692\\\" y2=\\\"618\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"665\\\" y1=\\\"488\\\" x2=\\\"656\\\" y2=\\\"495\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"634\\\" y1=\\\"646\\\" x2=\\\"645\\\" y2=\\\"655\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"634\\\" y1=\\\"646\\\" x2=\\\"638\\\" y2=\\\"634\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"634\\\" y1=\\\"646\\\" x2=\\\"626\\\" y2=\\\"658\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"634\\\" y1=\\\"646\\\" x2=\\\"619\\\" y2=\\\"637\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"647\\\" y1=\\\"626\\\" x2=\\\"664\\\" y2=\\\"632\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"647\\\" y1=\\\"626\\\" x2=\\\"638\\\" y2=\\\"634\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"647\\\" y1=\\\"626\\\" x2=\\\"658\\\" y2=\\\"615\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"647\\\" y1=\\\"626\\\" x2=\\\"632\\\" y2=\\\"617\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"664\\\" y1=\\\"632\\\" x2=\\\"658\\\" y2=\\\"615\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"645\\\" y1=\\\"655\\\" x2=\\\"626\\\" y2=\\\"658\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"500\\\" y1=\\\"539\\\" x2=\\\"507\\\" y2=\\\"553\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"500\\\" y1=\\\"539\\\" x2=\\\"516\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"507\\\" y1=\\\"553\\\" x2=\\\"501\\\" y2=\\\"569\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"507\\\" y1=\\\"553\\\" x2=\\\"516\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"507\\\" y1=\\\"553\\\" x2=\\\"512\\\" y2=\\\"560\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"487\\\" y1=\\\"569\\\" x2=\\\"501\\\" y2=\\\"569\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"487\\\" y1=\\\"569\\\" x2=\\\"468\\\" y2=\\\"571\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"487\\\" y1=\\\"569\\\" x2=\\\"497\\\" y2=\\\"583\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"501\\\" y1=\\\"569\\\" x2=\\\"517\\\" y2=\\\"567\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"501\\\" y1=\\\"569\\\" x2=\\\"497\\\" y2=\\\"583\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"501\\\" y1=\\\"569\\\" x2=\\\"512\\\" y2=\\\"560\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"661\\\" y1=\\\"522\\\" x2=\\\"664\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"661\\\" y1=\\\"522\\\" x2=\\\"648\\\" y2=\\\"526\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"534\\\" x2=\\\"645\\\" y2=\\\"549\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"534\\\" x2=\\\"648\\\" y2=\\\"526\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"534\\\" x2=\\\"631\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"534\\\" x2=\\\"634\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"645\\\" y1=\\\"549\\\" x2=\\\"661\\\" y2=\\\"546\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"645\\\" y1=\\\"549\\\" x2=\\\"631\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"645\\\" y1=\\\"549\\\" x2=\\\"654\\\" y2=\\\"558\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"664\\\" y1=\\\"535\\\" x2=\\\"661\\\" y2=\\\"546\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"661\\\" y1=\\\"546\\\" x2=\\\"654\\\" y2=\\\"558\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"648\\\" y1=\\\"526\\\" x2=\\\"634\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"518\\\" y1=\\\"647\\\" x2=\\\"530\\\" y2=\\\"644\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"518\\\" y1=\\\"647\\\" x2=\\\"518\\\" y2=\\\"635\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"542\\\" y1=\\\"649\\\" x2=\\\"542\\\" y2=\\\"661\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"542\\\" y1=\\\"649\\\" x2=\\\"530\\\" y2=\\\"644\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"542\\\" y1=\\\"649\\\" x2=\\\"553\\\" y2=\\\"654\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"542\\\" y1=\\\"649\\\" x2=\\\"542\\\" y2=\\\"637\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"542\\\" y1=\\\"661\\\" x2=\\\"534\\\" y2=\\\"672\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"542\\\" y1=\\\"661\\\" x2=\\\"553\\\" y2=\\\"654\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"644\\\" x2=\\\"518\\\" y2=\\\"635\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"644\\\" x2=\\\"542\\\" y2=\\\"637\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"524\\\" y1=\\\"511\\\" x2=\\\"538\\\" y2=\\\"514\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"524\\\" y1=\\\"511\\\" x2=\\\"523\\\" y2=\\\"525\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"538\\\" y1=\\\"514\\\" x2=\\\"549\\\" y2=\\\"507\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"538\\\" y1=\\\"514\\\" x2=\\\"523\\\" y2=\\\"525\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"538\\\" y1=\\\"514\\\" x2=\\\"548\\\" y2=\\\"521\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"487\\\" x2=\\\"545\\\" y2=\\\"491\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"487\\\" x2=\\\"523\\\" y2=\\\"486\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"507\\\" x2=\\\"548\\\" y2=\\\"521\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"549\\\" y1=\\\"507\\\" x2=\\\"555\\\" y2=\\\"498\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"491\\\" x2=\\\"555\\\" y2=\\\"498\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"515\\\" x2=\\\"614\\\" y2=\\\"507\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"515\\\" x2=\\\"634\\\" y2=\\\"507\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"515\\\" x2=\\\"614\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"515\\\" x2=\\\"634\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"614\\\" y1=\\\"507\\\" x2=\\\"614\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"614\\\" y1=\\\"507\\\" x2=\\\"606\\\" y2=\\\"498\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"634\\\" y1=\\\"507\\\" x2=\\\"634\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"634\\\" y1=\\\"507\\\" x2=\\\"643\\\" y2=\\\"500\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"616\\\" y1=\\\"491\\\" x2=\\\"606\\\" y2=\\\"498\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"616\\\" y1=\\\"491\\\" x2=\\\"625\\\" y2=\\\"483\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"515\\\" y1=\\\"608\\\" x2=\\\"506\\\" y2=\\\"595\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"515\\\" y1=\\\"608\\\" x2=\\\"515\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"515\\\" y1=\\\"608\\\" x2=\\\"521\\\" y2=\\\"595\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"503\\\" y1=\\\"623\\\" x2=\\\"515\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"492\\\" y1=\\\"596\\\" x2=\\\"506\\\" y2=\\\"595\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"492\\\" y1=\\\"596\\\" x2=\\\"497\\\" y2=\\\"583\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"506\\\" y1=\\\"595\\\" x2=\\\"521\\\" y2=\\\"595\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"506\\\" y1=\\\"595\\\" x2=\\\"497\\\" y2=\\\"583\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"515\\\" y1=\\\"620\\\" x2=\\\"530\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"515\\\" y1=\\\"620\\\" x2=\\\"518\\\" y2=\\\"635\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"649\\\" x2=\\\"565\\\" y2=\\\"661\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"649\\\" x2=\\\"553\\\" y2=\\\"654\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"649\\\" x2=\\\"573\\\" y2=\\\"640\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"649\\\" x2=\\\"563\\\" y2=\\\"641\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"661\\\" x2=\\\"553\\\" y2=\\\"654\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"661\\\" x2=\\\"571\\\" y2=\\\"671\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"585\\\" y1=\\\"648\\\" x2=\\\"573\\\" y2=\\\"640\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"585\\\" y1=\\\"648\\\" x2=\\\"591\\\" y2=\\\"658\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"585\\\" y1=\\\"648\\\" x2=\\\"583\\\" y2=\\\"639\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"583\\\" y1=\\\"667\\\" x2=\\\"571\\\" y2=\\\"671\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"583\\\" y1=\\\"667\\\" x2=\\\"591\\\" y2=\\\"658\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"577\\\" y1=\\\"493\\\" x2=\\\"595\\\" y2=\\\"494\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"577\\\" y1=\\\"493\\\" x2=\\\"565\\\" y2=\\\"497\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"577\\\" y1=\\\"493\\\" x2=\\\"590\\\" y2=\\\"481\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"570\\\" y1=\\\"510\\\" x2=\\\"580\\\" y2=\\\"526\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"570\\\" y1=\\\"510\\\" x2=\\\"565\\\" y2=\\\"497\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"570\\\" y1=\\\"510\\\" x2=\\\"569\\\" y2=\\\"520\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"593\\\" y1=\\\"511\\\" x2=\\\"595\\\" y2=\\\"494\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"593\\\" y1=\\\"511\\\" x2=\\\"592\\\" y2=\\\"530\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"593\\\" y1=\\\"511\\\" x2=\\\"586\\\" y2=\\\"518\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"595\\\" y1=\\\"494\\\" x2=\\\"590\\\" y2=\\\"481\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"595\\\" y1=\\\"494\\\" x2=\\\"606\\\" y2=\\\"498\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"580\\\" y1=\\\"526\\\" x2=\\\"586\\\" y2=\\\"518\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"580\\\" y1=\\\"526\\\" x2=\\\"569\\\" y2=\\\"520\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"580\\\" y1=\\\"526\\\" x2=\\\"580\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"580\\\" y1=\\\"526\\\" x2=\\\"586\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"580\\\" y1=\\\"526\\\" x2=\\\"575\\\" y2=\\\"528\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"580\\\" y1=\\\"526\\\" x2=\\\"586\\\" y2=\\\"528\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"563\\\" y1=\\\"471\\\" x2=\\\"573\\\" y2=\\\"463\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"563\\\" y1=\\\"471\\\" x2=\\\"562\\\" y2=\\\"481\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"571\\\" y1=\\\"683\\\" x2=\\\"571\\\" y2=\\\"671\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"650\\\" y1=\\\"593\\\" x2=\\\"664\\\" y2=\\\"588\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"650\\\" y1=\\\"593\\\" x2=\\\"655\\\" y2=\\\"604\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"650\\\" y1=\\\"593\\\" x2=\\\"640\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"648\\\" y1=\\\"569\\\" x2=\\\"664\\\" y2=\\\"566\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"648\\\" y1=\\\"569\\\" x2=\\\"654\\\" y2=\\\"558\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"648\\\" y1=\\\"569\\\" x2=\\\"638\\\" y2=\\\"569\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"664\\\" y1=\\\"566\\\" x2=\\\"670\\\" y2=\\\"575\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"664\\\" y1=\\\"566\\\" x2=\\\"654\\\" y2=\\\"558\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"664\\\" y1=\\\"566\\\" x2=\\\"675\\\" y2=\\\"564\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"664\\\" y1=\\\"588\\\" x2=\\\"670\\\" y2=\\\"575\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"664\\\" y1=\\\"588\\\" x2=\\\"675\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"670\\\" y1=\\\"575\\\" x2=\\\"675\\\" y2=\\\"564\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"670\\\" y1=\\\"575\\\" x2=\\\"675\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"688\\\" y1=\\\"546\\\" x2=\\\"684\\\" y2=\\\"557\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"684\\\" y1=\\\"557\\\" x2=\\\"675\\\" y2=\\\"564\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"644\\\" x2=\\\"619\\\" y2=\\\"637\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"644\\\" x2=\\\"607\\\" y2=\\\"632\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"644\\\" x2=\\\"591\\\" y2=\\\"658\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"637\\\" x2=\\\"607\\\" y2=\\\"632\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"603\\\" y1=\\\"663\\\" x2=\\\"591\\\" y2=\\\"658\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"516\\\" y1=\\\"537\\\" x2=\\\"523\\\" y2=\\\"525\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"516\\\" y1=\\\"537\\\" x2=\\\"530\\\" y2=\\\"540\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"523\\\" y1=\\\"525\\\" x2=\\\"530\\\" y2=\\\"540\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"658\\\" y1=\\\"615\\\" x2=\\\"655\\\" y2=\\\"604\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"658\\\" y1=\\\"615\\\" x2=\\\"672\\\" y2=\\\"610\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"632\\\" y1=\\\"617\\\" x2=\\\"625\\\" y2=\\\"603\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"632\\\" y1=\\\"617\\\" x2=\\\"624\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"625\\\" y1=\\\"603\\\" x2=\\\"636\\\" y2=\\\"601\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"625\\\" y1=\\\"603\\\" x2=\\\"620\\\" y2=\\\"596\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"625\\\" y1=\\\"603\\\" x2=\\\"617\\\" y2=\\\"600\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"625\\\" y1=\\\"603\\\" x2=\\\"628\\\" y2=\\\"598\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"625\\\" y1=\\\"603\\\" x2=\\\"624\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"625\\\" y1=\\\"603\\\" x2=\\\"621\\\" y2=\\\"607\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"656\\\" y1=\\\"495\\\" x2=\\\"643\\\" y2=\\\"500\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"517\\\" y1=\\\"567\\\" x2=\\\"520\\\" y2=\\\"559\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"517\\\" y1=\\\"567\\\" x2=\\\"528\\\" y2=\\\"573\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"517\\\" y1=\\\"567\\\" x2=\\\"512\\\" y2=\\\"560\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"530\\\" y1=\\\"540\\\" x2=\\\"532\\\" y2=\\\"550\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"536\\\" y1=\\\"557\\\" x2=\\\"527\\\" y2=\\\"559\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"536\\\" y1=\\\"557\\\" x2=\\\"532\\\" y2=\\\"550\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"536\\\" y1=\\\"557\\\" x2=\\\"540\\\" y2=\\\"564\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"536\\\" y1=\\\"557\\\" x2=\\\"545\\\" y2=\\\"555\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"536\\\" y1=\\\"557\\\" x2=\\\"543\\\" y2=\\\"560\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"536\\\" y1=\\\"557\\\" x2=\\\"534\\\" y2=\\\"561\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"536\\\" y1=\\\"557\\\" x2=\\\"539\\\" y2=\\\"553\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"521\\\" y1=\\\"595\\\" x2=\\\"530\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"497\\\" x2=\\\"562\\\" y2=\\\"481\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"565\\\" y1=\\\"497\\\" x2=\\\"555\\\" y2=\\\"498\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"631\\\" y1=\\\"545\\\" x2=\\\"617\\\" y2=\\\"546\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"631\\\" y1=\\\"545\\\" x2=\\\"627\\\" y2=\\\"553\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"617\\\" y1=\\\"546\\\" x2=\\\"608\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"617\\\" y1=\\\"546\\\" x2=\\\"613\\\" y2=\\\"554\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"617\\\" y1=\\\"546\\\" x2=\\\"610\\\" y2=\\\"550\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"617\\\" y1=\\\"546\\\" x2=\\\"627\\\" y2=\\\"553\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"617\\\" y1=\\\"546\\\" x2=\\\"620\\\" y2=\\\"554\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"561\\\" x2=\\\"621\\\" y2=\\\"571\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"561\\\" x2=\\\"631\\\" y2=\\\"561\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"561\\\" x2=\\\"616\\\" y2=\\\"562\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"561\\\" x2=\\\"626\\\" y2=\\\"566\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"561\\\" x2=\\\"619\\\" y2=\\\"566\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"561\\\" x2=\\\"627\\\" y2=\\\"553\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"561\\\" x2=\\\"620\\\" y2=\\\"554\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"573\\\" y1=\\\"640\\\" x2=\\\"563\\\" y2=\\\"641\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"573\\\" y1=\\\"640\\\" x2=\\\"583\\\" y2=\\\"639\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"573\\\" y1=\\\"640\\\" x2=\\\"576\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"573\\\" y1=\\\"640\\\" x2=\\\"570\\\" y2=\\\"634\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"573\\\" y1=\\\"640\\\" x2=\\\"580\\\" y2=\\\"633\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"566\\\" y1=\\\"628\\\" x2=\\\"563\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"566\\\" y1=\\\"628\\\" x2=\\\"563\\\" y2=\\\"641\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"566\\\" y1=\\\"628\\\" x2=\\\"576\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"566\\\" y1=\\\"628\\\" x2=\\\"573\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"566\\\" y1=\\\"628\\\" x2=\\\"568\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"566\\\" y1=\\\"628\\\" x2=\\\"570\\\" y2=\\\"634\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"530\\\" x2=\\\"564\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"530\\\" x2=\\\"569\\\" y2=\\\"520\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"530\\\" x2=\\\"580\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"530\\\" x2=\\\"574\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"530\\\" x2=\\\"569\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"530\\\" x2=\\\"575\\\" y2=\\\"528\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"607\\\" y1=\\\"632\\\" x2=\\\"603\\\" y2=\\\"623\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"586\\\" y1=\\\"626\\\" x2=\\\"583\\\" y2=\\\"639\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"586\\\" y1=\\\"626\\\" x2=\\\"589\\\" y2=\\\"632\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"586\\\" y1=\\\"626\\\" x2=\\\"576\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"586\\\" y1=\\\"626\\\" x2=\\\"583\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"586\\\" y1=\\\"626\\\" x2=\\\"591\\\" y2=\\\"626\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"586\\\" y1=\\\"626\\\" x2=\\\"588\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"586\\\" y1=\\\"626\\\" x2=\\\"580\\\" y2=\\\"633\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"592\\\" y1=\\\"530\\\" x2=\\\"596\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"592\\\" y1=\\\"530\\\" x2=\\\"586\\\" y2=\\\"518\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"592\\\" y1=\\\"530\\\" x2=\\\"586\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"592\\\" y1=\\\"530\\\" x2=\\\"591\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"592\\\" y1=\\\"530\\\" x2=\\\"586\\\" y2=\\\"528\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"616\\\" y1=\\\"611\\\" x2=\\\"608\\\" y2=\\\"613\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"616\\\" y1=\\\"611\\\" x2=\\\"619\\\" y2=\\\"618\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"616\\\" y1=\\\"611\\\" x2=\\\"613\\\" y2=\\\"604\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"616\\\" y1=\\\"611\\\" x2=\\\"613\\\" y2=\\\"615\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"616\\\" y1=\\\"611\\\" x2=\\\"610\\\" y2=\\\"608\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"616\\\" y1=\\\"611\\\" x2=\\\"624\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"616\\\" y1=\\\"611\\\" x2=\\\"621\\\" y2=\\\"607\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"289\\\" y1=\\\"562\\\" x2=\\\"284\\\" y2=\\\"554\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"289\\\" y1=\\\"562\\\" x2=\\\"294\\\" y2=\\\"571\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"289\\\" y1=\\\"562\\\" x2=\\\"292\\\" y2=\\\"555\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"289\\\" y1=\\\"562\\\" x2=\\\"297\\\" y2=\\\"564\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"532\\\" x2=\\\"294\\\" y2=\\\"548\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"532\\\" x2=\\\"281\\\" y2=\\\"529\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"532\\\" x2=\\\"308\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"532\\\" x2=\\\"295\\\" y2=\\\"516\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"532\\\" x2=\\\"286\\\" y2=\\\"538\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"532\\\" x2=\\\"281\\\" y2=\\\"529\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"532\\\" x2=\\\"271\\\" y2=\\\"517\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"532\\\" x2=\\\"274\\\" y2=\\\"539\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"532\\\" x2=\\\"264\\\" y2=\\\"526\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"532\\\" x2=\\\"264\\\" y2=\\\"539\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"532\\\" x2=\\\"269\\\" y2=\\\"539\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"532\\\" x2=\\\"264\\\" y2=\\\"532\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"548\\\" x2=\\\"308\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"548\\\" x2=\\\"286\\\" y2=\\\"538\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"548\\\" x2=\\\"287\\\" y2=\\\"547\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"548\\\" x2=\\\"292\\\" y2=\\\"555\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"548\\\" x2=\\\"299\\\" y2=\\\"557\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"281\\\" y1=\\\"529\\\" x2=\\\"271\\\" y2=\\\"517\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"281\\\" y1=\\\"529\\\" x2=\\\"286\\\" y2=\\\"538\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"281\\\" y1=\\\"529\\\" x2=\\\"274\\\" y2=\\\"539\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"545\\\" x2=\\\"274\\\" y2=\\\"539\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"545\\\" x2=\\\"274\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"545\\\" x2=\\\"264\\\" y2=\\\"539\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"545\\\" x2=\\\"264\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"545\\\" x2=\\\"269\\\" y2=\\\"539\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"304\\\" y1=\\\"565\\\" x2=\\\"316\\\" y2=\\\"566\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"304\\\" y1=\\\"565\\\" x2=\\\"302\\\" y2=\\\"573\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"304\\\" y1=\\\"565\\\" x2=\\\"297\\\" y2=\\\"564\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"304\\\" y1=\\\"565\\\" x2=\\\"299\\\" y2=\\\"557\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"304\\\" y1=\\\"565\\\" x2=\\\"308\\\" y2=\\\"573\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"312\\\" y1=\\\"580\\\" x2=\\\"316\\\" y2=\\\"566\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"312\\\" y1=\\\"580\\\" x2=\\\"305\\\" y2=\\\"580\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"312\\\" y1=\\\"580\\\" x2=\\\"308\\\" y2=\\\"573\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"312\\\" y1=\\\"580\\\" x2=\\\"309\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"312\\\" y1=\\\"580\\\" x2=\\\"315\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"588\\\" x2=\\\"297\\\" y2=\\\"584\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"588\\\" x2=\\\"292\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"588\\\" x2=\\\"300\\\" y2=\\\"590\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"588\\\" x2=\\\"297\\\" y2=\\\"594\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"306\\\" y1=\\\"591\\\" x2=\\\"318\\\" y2=\\\"592\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"306\\\" y1=\\\"591\\\" x2=\\\"302\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"306\\\" y1=\\\"591\\\" x2=\\\"309\\\" y2=\\\"597\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"306\\\" y1=\\\"591\\\" x2=\\\"309\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"306\\\" y1=\\\"591\\\" x2=\\\"315\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"306\\\" y1=\\\"591\\\" x2=\\\"300\\\" y2=\\\"590\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"306\\\" y1=\\\"591\\\" x2=\\\"303\\\" y2=\\\"596\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"295\\\" y1=\\\"620\\\" x2=\\\"287\\\" y2=\\\"617\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"295\\\" y1=\\\"620\\\" x2=\\\"287\\\" y2=\\\"612\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"295\\\" y1=\\\"620\\\" x2=\\\"286\\\" y2=\\\"624\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"295\\\" y1=\\\"620\\\" x2=\\\"303\\\" y2=\\\"618\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"295\\\" y1=\\\"620\\\" x2=\\\"302\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"295\\\" y1=\\\"620\\\" x2=\\\"295\\\" y2=\\\"615\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"295\\\" y1=\\\"620\\\" x2=\\\"294\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"614\\\" x2=\\\"274\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"614\\\" x2=\\\"273\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"614\\\" x2=\\\"264\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"614\\\" x2=\\\"263\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"269\\\" y1=\\\"614\\\" x2=\\\"268\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"277\\\" y1=\\\"627\\\" x2=\\\"278\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"277\\\" y1=\\\"627\\\" x2=\\\"286\\\" y2=\\\"624\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"277\\\" y1=\\\"627\\\" x2=\\\"273\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"277\\\" y1=\\\"627\\\" x2=\\\"285\\\" y2=\\\"637\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"277\\\" y1=\\\"627\\\" x2=\\\"272\\\" y2=\\\"634\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"277\\\" y1=\\\"627\\\" x2=\\\"285\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"277\\\" y1=\\\"627\\\" x2=\\\"272\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"284\\\" y1=\\\"606\\\" x2=\\\"282\\\" y2=\\\"610\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"284\\\" y1=\\\"606\\\" x2=\\\"287\\\" y2=\\\"612\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"284\\\" y1=\\\"606\\\" x2=\\\"287\\\" y2=\\\"601\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"284\\\" y1=\\\"606\\\" x2=\\\"290\\\" y2=\\\"607\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"296\\\" y1=\\\"609\\\" x2=\\\"311\\\" y2=\\\"615\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"296\\\" y1=\\\"609\\\" x2=\\\"287\\\" y2=\\\"612\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"296\\\" y1=\\\"609\\\" x2=\\\"303\\\" y2=\\\"618\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"296\\\" y1=\\\"609\\\" x2=\\\"292\\\" y2=\\\"603\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"296\\\" y1=\\\"609\\\" x2=\\\"304\\\" y2=\\\"606\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"296\\\" y1=\\\"609\\\" x2=\\\"295\\\" y2=\\\"615\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"296\\\" y1=\\\"609\\\" x2=\\\"290\\\" y2=\\\"607\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"296\\\" y1=\\\"609\\\" x2=\\\"298\\\" y2=\\\"604\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"617\\\" x2=\\\"224\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"617\\\" x2=\\\"231\\\" y2=\\\"616\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"617\\\" x2=\\\"231\\\" y2=\\\"622\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"617\\\" x2=\\\"216\\\" y2=\\\"619\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"617\\\" x2=\\\"216\\\" y2=\\\"625\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"617\\\" x2=\\\"226\\\" y2=\\\"607\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"617\\\" x2=\\\"229\\\" y2=\\\"612\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"617\\\" x2=\\\"221\\\" y2=\\\"613\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"614\\\" x2=\\\"244\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"614\\\" x2=\\\"244\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"614\\\" x2=\\\"254\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"614\\\" x2=\\\"254\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"614\\\" x2=\\\"249\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"627\\\" x2=\\\"224\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"627\\\" x2=\\\"249\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"627\\\" x2=\\\"231\\\" y2=\\\"622\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"627\\\" x2=\\\"244\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"234\\\" y1=\\\"606\\\" x2=\\\"231\\\" y2=\\\"616\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"234\\\" y1=\\\"606\\\" x2=\\\"237\\\" y2=\\\"610\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"234\\\" y1=\\\"606\\\" x2=\\\"226\\\" y2=\\\"607\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"234\\\" y1=\\\"606\\\" x2=\\\"232\\\" y2=\\\"601\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"234\\\" y1=\\\"606\\\" x2=\\\"229\\\" y2=\\\"612\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"211\\\" y1=\\\"571\\\" x2=\\\"199\\\" y2=\\\"573\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"211\\\" y1=\\\"571\\\" x2=\\\"215\\\" y2=\\\"575\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"211\\\" y1=\\\"571\\\" x2=\\\"209\\\" y2=\\\"562\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"211\\\" y1=\\\"571\\\" x2=\\\"209\\\" y2=\\\"576\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"211\\\" y1=\\\"571\\\" x2=\\\"217\\\" y2=\\\"571\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"211\\\" y1=\\\"571\\\" x2=\\\"213\\\" y2=\\\"566\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"211\\\" y1=\\\"571\\\" x2=\\\"204\\\" y2=\\\"577\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"208\\\" y1=\\\"582\\\" x2=\\\"213\\\" y2=\\\"581\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"208\\\" y1=\\\"582\\\" x2=\\\"205\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"208\\\" y1=\\\"582\\\" x2=\\\"209\\\" y2=\\\"576\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"208\\\" y1=\\\"582\\\" x2=\\\"204\\\" y2=\\\"577\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"208\\\" y1=\\\"582\\\" x2=\\\"210\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"588\\\" x2=\\\"222\\\" y2=\\\"584\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"588\\\" x2=\\\"227\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"588\\\" x2=\\\"221\\\" y2=\\\"594\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"588\\\" x2=\\\"218\\\" y2=\\\"589\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"571\\\" x2=\\\"222\\\" y2=\\\"575\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"571\\\" x2=\\\"227\\\" y2=\\\"567\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"571\\\" x2=\\\"217\\\" y2=\\\"571\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"571\\\" x2=\\\"220\\\" y2=\\\"567\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"223\\\" y1=\\\"541\\\" x2=\\\"223\\\" y2=\\\"531\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"223\\\" y1=\\\"541\\\" x2=\\\"218\\\" y2=\\\"550\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"223\\\" y1=\\\"541\\\" x2=\\\"229\\\" y2=\\\"548\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"535\\\" x2=\\\"223\\\" y2=\\\"531\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"535\\\" x2=\\\"249\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"535\\\" x2=\\\"244\\\" y2=\\\"540\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"234\\\" y1=\\\"554\\\" x2=\\\"237\\\" y2=\\\"549\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"234\\\" y1=\\\"554\\\" x2=\\\"229\\\" y2=\\\"548\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"234\\\" y1=\\\"554\\\" x2=\\\"232\\\" y2=\\\"558\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"234\\\" y1=\\\"554\\\" x2=\\\"224\\\" y2=\\\"556\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"234\\\" y1=\\\"554\\\" x2=\\\"226\\\" y2=\\\"552\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"545\\\" x2=\\\"244\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"545\\\" x2=\\\"244\\\" y2=\\\"540\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"545\\\" x2=\\\"254\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"545\\\" x2=\\\"254\\\" y2=\\\"540\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"545\\\" x2=\\\"249\\\" y2=\\\"540\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"131\\\" y1=\\\"528\\\" x2=\\\"145\\\" y2=\\\"518\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"145\\\" y1=\\\"518\\\" x2=\\\"160\\\" y2=\\\"508\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"243\\\" y1=\\\"479\\\" x2=\\\"241\\\" y2=\\\"489\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"362\\\" y1=\\\"581\\\" x2=\\\"353\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"362\\\" y1=\\\"581\\\" x2=\\\"367\\\" y2=\\\"572\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"228\\\" y1=\\\"707\\\" x2=\\\"223\\\" y2=\\\"694\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"245\\\" y1=\\\"673\\\" x2=\\\"253\\\" y2=\\\"690\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"245\\\" y1=\\\"673\\\" x2=\\\"235\\\" y2=\\\"677\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"245\\\" y1=\\\"673\\\" x2=\\\"264\\\" y2=\\\"674\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"245\\\" y1=\\\"673\\\" x2=\\\"245\\\" y2=\\\"662\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"253\\\" y1=\\\"690\\\" x2=\\\"264\\\" y2=\\\"674\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"223\\\" y1=\\\"694\\\" x2=\\\"224\\\" y2=\\\"682\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"682\\\" x2=\\\"235\\\" y2=\\\"677\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"335\\\" y1=\\\"663\\\" x2=\\\"324\\\" y2=\\\"665\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"349\\\" y1=\\\"634\\\" x2=\\\"348\\\" y2=\\\"623\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"175\\\" y1=\\\"518\\\" x2=\\\"187\\\" y2=\\\"521\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"175\\\" y1=\\\"518\\\" x2=\\\"160\\\" y2=\\\"508\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"198\\\" y1=\\\"523\\\" x2=\\\"187\\\" y2=\\\"521\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"198\\\" y1=\\\"523\\\" x2=\\\"199\\\" y2=\\\"507\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"198\\\" y1=\\\"523\\\" x2=\\\"195\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"198\\\" y1=\\\"523\\\" x2=\\\"208\\\" y2=\\\"521\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"198\\\" y1=\\\"497\\\" x2=\\\"199\\\" y2=\\\"507\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"356\\\" y1=\\\"547\\\" x2=\\\"343\\\" y2=\\\"558\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"322\\\" y1=\\\"530\\\" x2=\\\"323\\\" y2=\\\"547\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"322\\\" y1=\\\"530\\\" x2=\\\"336\\\" y2=\\\"529\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"322\\\" y1=\\\"530\\\" x2=\\\"308\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"322\\\" y1=\\\"530\\\" x2=\\\"321\\\" y2=\\\"516\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"343\\\" y1=\\\"558\\\" x2=\\\"331\\\" y2=\\\"561\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"323\\\" y1=\\\"547\\\" x2=\\\"331\\\" y2=\\\"561\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"323\\\" y1=\\\"547\\\" x2=\\\"308\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"323\\\" y1=\\\"547\\\" x2=\\\"316\\\" y2=\\\"566\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"336\\\" y1=\\\"529\\\" x2=\\\"321\\\" y2=\\\"516\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"336\\\" y1=\\\"529\\\" x2=\\\"347\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"331\\\" y1=\\\"561\\\" x2=\\\"336\\\" y2=\\\"577\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"331\\\" y1=\\\"561\\\" x2=\\\"316\\\" y2=\\\"566\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"504\\\" x2=\\\"299\\\" y2=\\\"489\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"504\\\" x2=\\\"282\\\" y2=\\\"502\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"504\\\" x2=\\\"312\\\" y2=\\\"503\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"504\\\" x2=\\\"295\\\" y2=\\\"516\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"299\\\" y1=\\\"489\\\" x2=\\\"312\\\" y2=\\\"503\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"271\\\" y1=\\\"478\\\" x2=\\\"268\\\" y2=\\\"491\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"271\\\" y1=\\\"478\\\" x2=\\\"279\\\" y2=\\\"465\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"268\\\" y1=\\\"491\\\" x2=\\\"269\\\" y2=\\\"504\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"282\\\" y1=\\\"502\\\" x2=\\\"269\\\" y2=\\\"504\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"275\\\" y1=\\\"658\\\" x2=\\\"283\\\" y2=\\\"675\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"275\\\" y1=\\\"658\\\" x2=\\\"285\\\" y2=\\\"650\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"275\\\" y1=\\\"658\\\" x2=\\\"264\\\" y2=\\\"674\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"275\\\" y1=\\\"658\\\" x2=\\\"266\\\" y2=\\\"649\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"283\\\" y1=\\\"675\\\" x2=\\\"264\\\" y2=\\\"674\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"302\\\" y1=\\\"643\\\" x2=\\\"304\\\" y2=\\\"655\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"302\\\" y1=\\\"643\\\" x2=\\\"293\\\" y2=\\\"633\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"302\\\" y1=\\\"643\\\" x2=\\\"313\\\" y2=\\\"638\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"302\\\" y1=\\\"643\\\" x2=\\\"302\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"285\\\" y1=\\\"650\\\" x2=\\\"293\\\" y2=\\\"633\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"285\\\" y1=\\\"650\\\" x2=\\\"285\\\" y2=\\\"637\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"304\\\" y1=\\\"655\\\" x2=\\\"311\\\" y2=\\\"665\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"170\\\" y1=\\\"541\\\" x2=\\\"181\\\" y2=\\\"544\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"170\\\" y1=\\\"541\\\" x2=\\\"158\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"193\\\" y1=\\\"546\\\" x2=\\\"190\\\" y2=\\\"559\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"193\\\" y1=\\\"546\\\" x2=\\\"181\\\" y2=\\\"544\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"193\\\" y1=\\\"546\\\" x2=\\\"205\\\" y2=\\\"550\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"193\\\" y1=\\\"546\\\" x2=\\\"195\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"172\\\" y1=\\\"570\\\" x2=\\\"187\\\" y2=\\\"570\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"172\\\" y1=\\\"570\\\" x2=\\\"181\\\" y2=\\\"584\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"190\\\" y1=\\\"559\\\" x2=\\\"187\\\" y2=\\\"570\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"190\\\" y1=\\\"559\\\" x2=\\\"205\\\" y2=\\\"550\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"187\\\" y1=\\\"570\\\" x2=\\\"181\\\" y2=\\\"584\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"187\\\" y1=\\\"570\\\" x2=\\\"199\\\" y2=\\\"573\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"245\\\" y1=\\\"512\\\" x2=\\\"242\\\" y2=\\\"499\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"245\\\" y1=\\\"512\\\" x2=\\\"234\\\" y2=\\\"515\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"245\\\" y1=\\\"512\\\" x2=\\\"257\\\" y2=\\\"506\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"245\\\" y1=\\\"512\\\" x2=\\\"249\\\" y2=\\\"522\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"218\\\" y1=\\\"521\\\" x2=\\\"220\\\" y2=\\\"505\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"218\\\" y1=\\\"521\\\" x2=\\\"234\\\" y2=\\\"515\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"218\\\" y1=\\\"521\\\" x2=\\\"208\\\" y2=\\\"521\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"218\\\" y1=\\\"521\\\" x2=\\\"223\\\" y2=\\\"531\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"242\\\" y1=\\\"499\\\" x2=\\\"229\\\" y2=\\\"495\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"242\\\" y1=\\\"499\\\" x2=\\\"257\\\" y2=\\\"506\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"242\\\" y1=\\\"499\\\" x2=\\\"241\\\" y2=\\\"489\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"220\\\" y1=\\\"505\\\" x2=\\\"229\\\" y2=\\\"495\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"220\\\" y1=\\\"505\\\" x2=\\\"219\\\" y2=\\\"495\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"495\\\" x2=\\\"241\\\" y2=\\\"489\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"495\\\" x2=\\\"219\\\" y2=\\\"495\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"342\\\" y1=\\\"588\\\" x2=\\\"330\\\" y2=\\\"592\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"342\\\" y1=\\\"588\\\" x2=\\\"346\\\" y2=\\\"602\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"342\\\" y1=\\\"588\\\" x2=\\\"336\\\" y2=\\\"577\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"342\\\" y1=\\\"588\\\" x2=\\\"353\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"347\\\" y1=\\\"613\\\" x2=\\\"346\\\" y2=\\\"602\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"347\\\" y1=\\\"613\\\" x2=\\\"336\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"347\\\" y1=\\\"613\\\" x2=\\\"358\\\" y2=\\\"612\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"347\\\" y1=\\\"613\\\" x2=\\\"348\\\" y2=\\\"623\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"330\\\" y1=\\\"592\\\" x2=\\\"324\\\" y2=\\\"603\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"330\\\" y1=\\\"592\\\" x2=\\\"336\\\" y2=\\\"577\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"330\\\" y1=\\\"592\\\" x2=\\\"318\\\" y2=\\\"592\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"324\\\" y1=\\\"603\\\" x2=\\\"318\\\" y2=\\\"592\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"324\\\" y1=\\\"603\\\" x2=\\\"324\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"346\\\" y1=\\\"602\\\" x2=\\\"358\\\" y2=\\\"612\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"336\\\" y1=\\\"614\\\" x2=\\\"348\\\" y2=\\\"623\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"336\\\" y1=\\\"614\\\" x2=\\\"324\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"195\\\" y1=\\\"611\\\" x2=\\\"202\\\" y2=\\\"602\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"195\\\" y1=\\\"611\\\" x2=\\\"191\\\" y2=\\\"622\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"168\\\" y1=\\\"607\\\" x2=\\\"174\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"168\\\" y1=\\\"607\\\" x2=\\\"178\\\" y2=\\\"613\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"168\\\" y1=\\\"607\\\" x2=\\\"160\\\" y2=\\\"598\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"174\\\" y1=\\\"593\\\" x2=\\\"189\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"174\\\" y1=\\\"593\\\" x2=\\\"160\\\" y2=\\\"598\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"174\\\" y1=\\\"593\\\" x2=\\\"181\\\" y2=\\\"584\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"593\\\" x2=\\\"202\\\" y2=\\\"602\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"593\\\" x2=\\\"181\\\" y2=\\\"584\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"189\\\" y1=\\\"593\\\" x2=\\\"199\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"178\\\" y1=\\\"613\\\" x2=\\\"191\\\" y2=\\\"622\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"312\\\" y1=\\\"503\\\" x2=\\\"321\\\" y2=\\\"516\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"312\\\" y1=\\\"503\\\" x2=\\\"326\\\" y2=\\\"501\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"321\\\" y1=\\\"516\\\" x2=\\\"326\\\" y2=\\\"501\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"213\\\" y1=\\\"635\\\" x2=\\\"209\\\" y2=\\\"645\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"213\\\" y1=\\\"635\\\" x2=\\\"224\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"213\\\" y1=\\\"635\\\" x2=\\\"203\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"213\\\" y1=\\\"635\\\" x2=\\\"216\\\" y2=\\\"625\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"216\\\" y1=\\\"663\\\" x2=\\\"206\\\" y2=\\\"656\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"216\\\" y1=\\\"663\\\" x2=\\\"227\\\" y2=\\\"658\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"206\\\" y1=\\\"656\\\" x2=\\\"209\\\" y2=\\\"645\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"645\\\" x2=\\\"227\\\" y2=\\\"658\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"645\\\" x2=\\\"224\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"645\\\" x2=\\\"237\\\" y2=\\\"652\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"227\\\" y1=\\\"658\\\" x2=\\\"237\\\" y2=\\\"652\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"266\\\" y1=\\\"649\\\" x2=\\\"258\\\" y2=\\\"640\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"266\\\" y1=\\\"649\\\" x2=\\\"267\\\" y2=\\\"640\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"248\\\" y1=\\\"648\\\" x2=\\\"245\\\" y2=\\\"662\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"248\\\" y1=\\\"648\\\" x2=\\\"258\\\" y2=\\\"640\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"248\\\" y1=\\\"648\\\" x2=\\\"237\\\" y2=\\\"652\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"245\\\" y1=\\\"662\\\" x2=\\\"237\\\" y2=\\\"652\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"324\\\" y1=\\\"665\\\" x2=\\\"311\\\" y2=\\\"665\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"633\\\" x2=\\\"286\\\" y2=\\\"624\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"633\\\" x2=\\\"302\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"633\\\" x2=\\\"285\\\" y2=\\\"637\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"633\\\" x2=\\\"294\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"633\\\" x2=\\\"285\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"313\\\" y1=\\\"638\\\" x2=\\\"324\\\" y2=\\\"625\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"313\\\" y1=\\\"638\\\" x2=\\\"326\\\" y2=\\\"637\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"311\\\" y1=\\\"615\\\" x2=\\\"324\\\" y2=\\\"625\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"311\\\" y1=\\\"615\\\" x2=\\\"324\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"311\\\" y1=\\\"615\\\" x2=\\\"303\\\" y2=\\\"618\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"311\\\" y1=\\\"615\\\" x2=\\\"304\\\" y2=\\\"606\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"324\\\" y1=\\\"625\\\" x2=\\\"326\\\" y2=\\\"637\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"324\\\" y1=\\\"625\\\" x2=\\\"324\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"257\\\" y1=\\\"506\\\" x2=\\\"269\\\" y2=\\\"504\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"271\\\" y1=\\\"517\\\" x2=\\\"269\\\" y2=\\\"504\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"271\\\" y1=\\\"517\\\" x2=\\\"264\\\" y2=\\\"526\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"522\\\" x2=\\\"249\\\" y2=\\\"535\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"522\\\" x2=\\\"254\\\" y2=\\\"527\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"532\\\" x2=\\\"264\\\" y2=\\\"526\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"532\\\" x2=\\\"264\\\" y2=\\\"539\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"532\\\" x2=\\\"259\\\" y2=\\\"539\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"532\\\" x2=\\\"264\\\" y2=\\\"532\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"532\\\" x2=\\\"254\\\" y2=\\\"527\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"532\\\" x2=\\\"254\\\" y2=\\\"533\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"205\\\" y1=\\\"550\\\" x2=\\\"218\\\" y2=\\\"550\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"205\\\" y1=\\\"550\\\" x2=\\\"210\\\" y2=\\\"556\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"218\\\" y1=\\\"550\\\" x2=\\\"229\\\" y2=\\\"548\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"218\\\" y1=\\\"550\\\" x2=\\\"224\\\" y2=\\\"556\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"218\\\" y1=\\\"550\\\" x2=\\\"226\\\" y2=\\\"552\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"218\\\" y1=\\\"550\\\" x2=\\\"210\\\" y2=\\\"556\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"218\\\" y1=\\\"550\\\" x2=\\\"217\\\" y2=\\\"556\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"630\\\" x2=\\\"231\\\" y2=\\\"622\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"630\\\" x2=\\\"216\\\" y2=\\\"625\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"202\\\" y1=\\\"602\\\" x2=\\\"219\\\" y2=\\\"609\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"202\\\" y1=\\\"602\\\" x2=\\\"213\\\" y2=\\\"591\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"202\\\" y1=\\\"602\\\" x2=\\\"199\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"202\\\" y1=\\\"602\\\" x2=\\\"216\\\" y2=\\\"600\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"191\\\" y1=\\\"622\\\" x2=\\\"203\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"191\\\" y1=\\\"622\\\" x2=\\\"186\\\" y2=\\\"632\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"219\\\" y1=\\\"609\\\" x2=\\\"216\\\" y2=\\\"619\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"219\\\" y1=\\\"609\\\" x2=\\\"226\\\" y2=\\\"607\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"219\\\" y1=\\\"609\\\" x2=\\\"224\\\" y2=\\\"603\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"219\\\" y1=\\\"609\\\" x2=\\\"221\\\" y2=\\\"613\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"219\\\" y1=\\\"609\\\" x2=\\\"216\\\" y2=\\\"600\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"358\\\" y1=\\\"612\\\" x2=\\\"368\\\" y2=\\\"607\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"316\\\" y1=\\\"566\\\" x2=\\\"308\\\" y2=\\\"573\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"347\\\" y1=\\\"522\\\" x2=\\\"350\\\" y2=\\\"508\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"318\\\" y1=\\\"592\\\" x2=\\\"309\\\" y2=\\\"597\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"318\\\" y1=\\\"592\\\" x2=\\\"315\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"267\\\" y1=\\\"627\\\" x2=\\\"258\\\" y2=\\\"640\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"267\\\" y1=\\\"627\\\" x2=\\\"273\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"267\\\" y1=\\\"627\\\" x2=\\\"263\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"267\\\" y1=\\\"627\\\" x2=\\\"272\\\" y2=\\\"634\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"267\\\" y1=\\\"627\\\" x2=\\\"267\\\" y2=\\\"640\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"267\\\" y1=\\\"627\\\" x2=\\\"268\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"267\\\" y1=\\\"627\\\" x2=\\\"272\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"267\\\" y1=\\\"627\\\" x2=\\\"258\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"627\\\" x2=\\\"258\\\" y2=\\\"640\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"627\\\" x2=\\\"244\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"627\\\" x2=\\\"254\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"627\\\" x2=\\\"249\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"627\\\" x2=\\\"258\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"258\\\" y1=\\\"640\\\" x2=\\\"267\\\" y2=\\\"640\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"258\\\" y1=\\\"640\\\" x2=\\\"258\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"301\\\" y1=\\\"600\\\" x2=\\\"295\\\" y2=\\\"599\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"301\\\" y1=\\\"600\\\" x2=\\\"309\\\" y2=\\\"597\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"301\\\" y1=\\\"600\\\" x2=\\\"304\\\" y2=\\\"606\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"301\\\" y1=\\\"600\\\" x2=\\\"297\\\" y2=\\\"594\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"301\\\" y1=\\\"600\\\" x2=\\\"303\\\" y2=\\\"596\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"301\\\" y1=\\\"600\\\" x2=\\\"298\\\" y2=\\\"604\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"199\\\" y1=\\\"573\\\" x2=\\\"204\\\" y2=\\\"577\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"216\\\" y1=\\\"562\\\" x2=\\\"209\\\" y2=\\\"562\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"216\\\" y1=\\\"562\\\" x2=\\\"222\\\" y2=\\\"562\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"216\\\" y1=\\\"562\\\" x2=\\\"213\\\" y2=\\\"566\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"216\\\" y1=\\\"562\\\" x2=\\\"220\\\" y2=\\\"567\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"216\\\" y1=\\\"562\\\" x2=\\\"210\\\" y2=\\\"556\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"216\\\" y1=\\\"562\\\" x2=\\\"217\\\" y2=\\\"556\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"213\\\" y1=\\\"591\\\" x2=\\\"216\\\" y2=\\\"585\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"213\\\" y1=\\\"591\\\" x2=\\\"199\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"213\\\" y1=\\\"591\\\" x2=\\\"205\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"213\\\" y1=\\\"591\\\" x2=\\\"221\\\" y2=\\\"594\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"213\\\" y1=\\\"591\\\" x2=\\\"210\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"213\\\" y1=\\\"591\\\" x2=\\\"218\\\" y2=\\\"589\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"213\\\" y1=\\\"591\\\" x2=\\\"216\\\" y2=\\\"600\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"535\\\" x2=\\\"244\\\" y2=\\\"540\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"535\\\" x2=\\\"254\\\" y2=\\\"540\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"535\\\" x2=\\\"249\\\" y2=\\\"540\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"535\\\" x2=\\\"254\\\" y2=\\\"527\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"249\\\" y1=\\\"535\\\" x2=\\\"254\\\" y2=\\\"533\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"234\\\" x2=\\\"607\\\" y2=\\\"224\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"234\\\" x2=\\\"612\\\" y2=\\\"233\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"594\\\" y1=\\\"220\\\" x2=\\\"594\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"594\\\" y1=\\\"220\\\" x2=\\\"598\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"594\\\" y1=\\\"220\\\" x2=\\\"589\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"607\\\" y1=\\\"224\\\" x2=\\\"612\\\" y2=\\\"233\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"614\\\" y1=\\\"251\\\" x2=\\\"622\\\" y2=\\\"250\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"614\\\" y1=\\\"251\\\" x2=\\\"617\\\" y2=\\\"242\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"614\\\" y1=\\\"268\\\" x2=\\\"624\\\" y2=\\\"268\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"614\\\" y1=\\\"268\\\" x2=\\\"619\\\" y2=\\\"277\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"268\\\" x2=\\\"626\\\" y2=\\\"262\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"268\\\" x2=\\\"619\\\" y2=\\\"277\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"268\\\" x2=\\\"630\\\" y2=\\\"270\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"628\\\" y1=\\\"255\\\" x2=\\\"622\\\" y2=\\\"250\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"628\\\" y1=\\\"255\\\" x2=\\\"626\\\" y2=\\\"262\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"628\\\" y1=\\\"255\\\" x2=\\\"630\\\" y2=\\\"246\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"628\\\" y1=\\\"255\\\" x2=\\\"634\\\" y2=\\\"257\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"250\\\" x2=\\\"617\\\" y2=\\\"242\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"622\\\" y1=\\\"250\\\" x2=\\\"630\\\" y2=\\\"246\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"626\\\" y1=\\\"262\\\" x2=\\\"634\\\" y2=\\\"257\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"286\\\" x2=\\\"609\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"604\\\" y1=\\\"286\\\" x2=\\\"614\\\" y2=\\\"285\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"294\\\" x2=\\\"605\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"294\\\" x2=\\\"614\\\" y2=\\\"285\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"609\\\" y1=\\\"294\\\" x2=\\\"615\\\" y2=\\\"300\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"605\\\" y1=\\\"301\\\" x2=\\\"598\\\" y2=\\\"300\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"605\\\" y1=\\\"301\\\" x2=\\\"615\\\" y2=\\\"300\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"605\\\" y1=\\\"301\\\" x2=\\\"603\\\" y2=\\\"306\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"598\\\" y1=\\\"300\\\" x2=\\\"594\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"598\\\" y1=\\\"300\\\" x2=\\\"593\\\" y2=\\\"300\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"594\\\" y1=\\\"294\\\" x2=\\\"593\\\" y2=\\\"300\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"562\\\" y1=\\\"301\\\" x2=\\\"556\\\" y2=\\\"302\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"562\\\" y1=\\\"301\\\" x2=\\\"564\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"562\\\" y1=\\\"301\\\" x2=\\\"567\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"557\\\" y1=\\\"290\\\" x2=\\\"550\\\" y2=\\\"291\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"550\\\" y1=\\\"291\\\" x2=\\\"547\\\" y2=\\\"287\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"537\\\" y1=\\\"252\\\" x2=\\\"535\\\" y2=\\\"257\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"537\\\" y1=\\\"252\\\" x2=\\\"542\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"537\\\" y1=\\\"252\\\" x2=\\\"532\\\" y2=\\\"250\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"537\\\" y1=\\\"252\\\" x2=\\\"540\\\" y2=\\\"248\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"533\\\" y1=\\\"263\\\" x2=\\\"535\\\" y2=\\\"257\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"533\\\" y1=\\\"263\\\" x2=\\\"536\\\" y2=\\\"267\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"533\\\" y1=\\\"263\\\" x2=\\\"529\\\" y2=\\\"260\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"257\\\" x2=\\\"532\\\" y2=\\\"250\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"257\\\" x2=\\\"529\\\" y2=\\\"260\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"542\\\" y1=\\\"264\\\" x2=\\\"536\\\" y2=\\\"267\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"536\\\" y1=\\\"267\\\" x2=\\\"530\\\" y2=\\\"270\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"536\\\" y1=\\\"267\\\" x2=\\\"538\\\" y2=\\\"271\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"553\\\" y1=\\\"219\\\" x2=\\\"552\\\" y2=\\\"226\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"552\\\" y1=\\\"226\\\" x2=\\\"557\\\" y2=\\\"229\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"552\\\" y1=\\\"226\\\" x2=\\\"550\\\" y2=\\\"231\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"564\\\" y1=\\\"220\\\" x2=\\\"564\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"564\\\" y1=\\\"220\\\" x2=\\\"569\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"533\\\" y1=\\\"238\\\" x2=\\\"537\\\" y2=\\\"241\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"538\\\" y1=\\\"230\\\" x2=\\\"539\\\" y2=\\\"222\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"538\\\" y1=\\\"230\\\" x2=\\\"542\\\" y2=\\\"232\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"568\\\" y1=\\\"315\\\" x2=\\\"562\\\" y2=\\\"316\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"568\\\" y1=\\\"315\\\" x2=\\\"570\\\" y2=\\\"308\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"584\\\" y1=\\\"210\\\" x2=\\\"588\\\" y2=\\\"205\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"584\\\" y1=\\\"210\\\" x2=\\\"584\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"574\\\" y1=\\\"210\\\" x2=\\\"574\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"524\\\" y1=\\\"274\\\" x2=\\\"530\\\" y2=\\\"270\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"637\\\" y1=\\\"272\\\" x2=\\\"630\\\" y2=\\\"270\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"601\\\" y1=\\\"311\\\" x2=\\\"603\\\" y2=\\\"306\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"310\\\" x2=\\\"591\\\" y2=\\\"305\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"310\\\" x2=\\\"583\\\" y2=\\\"312\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"552\\\" y1=\\\"281\\\" x2=\\\"545\\\" y2=\\\"283\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"547\\\" y1=\\\"273\\\" x2=\\\"541\\\" y2=\\\"276\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"283\\\" x2=\\\"541\\\" y2=\\\"276\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"283\\\" x2=\\\"547\\\" y2=\\\"287\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"283\\\" x2=\\\"536\\\" y2=\\\"282\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"276\\\" x2=\\\"538\\\" y2=\\\"271\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"541\\\" y1=\\\"276\\\" x2=\\\"536\\\" y2=\\\"282\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"584\\\" y1=\\\"294\\\" x2=\\\"583\\\" y2=\\\"300\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"584\\\" y1=\\\"294\\\" x2=\\\"588\\\" y2=\\\"300\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"572\\\" y1=\\\"301\\\" x2=\\\"574\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"572\\\" y1=\\\"301\\\" x2=\\\"577\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"572\\\" y1=\\\"301\\\" x2=\\\"567\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"572\\\" y1=\\\"301\\\" x2=\\\"570\\\" y2=\\\"308\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"577\\\" y1=\\\"301\\\" x2=\\\"583\\\" y2=\\\"300\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"577\\\" y1=\\\"301\\\" x2=\\\"580\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"583\\\" y1=\\\"300\\\" x2=\\\"588\\\" y2=\\\"300\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"583\\\" y1=\\\"300\\\" x2=\\\"580\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"584\\\" y1=\\\"220\\\" x2=\\\"584\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"584\\\" y1=\\\"220\\\" x2=\\\"579\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"584\\\" y1=\\\"220\\\" x2=\\\"589\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"584\\\" y1=\\\"220\\\" x2=\\\"584\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"574\\\" y1=\\\"220\\\" x2=\\\"574\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"574\\\" y1=\\\"220\\\" x2=\\\"579\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"574\\\" y1=\\\"220\\\" x2=\\\"569\\\" y2=\\\"220\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"574\\\" y1=\\\"220\\\" x2=\\\"574\\\" y2=\\\"215\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"542\\\" y1=\\\"244\\\" x2=\\\"547\\\" y2=\\\"247\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"542\\\" y1=\\\"244\\\" x2=\\\"545\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"542\\\" y1=\\\"244\\\" x2=\\\"540\\\" y2=\\\"248\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"542\\\" y1=\\\"244\\\" x2=\\\"537\\\" y2=\\\"241\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"547\\\" y1=\\\"235\\\" x2=\\\"552\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"547\\\" y1=\\\"235\\\" x2=\\\"545\\\" y2=\\\"239\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"547\\\" y1=\\\"235\\\" x2=\\\"550\\\" y2=\\\"231\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"547\\\" y1=\\\"235\\\" x2=\\\"542\\\" y2=\\\"232\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"612\\\" y1=\\\"233\\\" x2=\\\"617\\\" y2=\\\"242\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"612\\\" y1=\\\"233\\\" x2=\\\"619\\\" y2=\\\"232\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"617\\\" y1=\\\"242\\\" x2=\\\"619\\\" y2=\\\"232\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"277\\\" x2=\\\"614\\\" y2=\\\"285\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"277\\\" x2=\\\"624\\\" y2=\\\"285\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"614\\\" y1=\\\"285\\\" x2=\\\"624\\\" y2=\\\"285\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"630\\\" y1=\\\"246\\\" x2=\\\"638\\\" y2=\\\"242\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"634\\\" y1=\\\"257\\\" x2=\\\"640\\\" y2=\\\"259\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"615\\\" y1=\\\"300\\\" x2=\\\"620\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"593\\\" y1=\\\"300\\\" x2=\\\"591\\\" y2=\\\"305\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"593\\\" y1=\\\"300\\\" x2=\\\"588\\\" y2=\\\"300\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"591\\\" y1=\\\"305\\\" x2=\\\"588\\\" y2=\\\"300\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"532\\\" y1=\\\"250\\\" x2=\\\"528\\\" y2=\\\"248\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"529\\\" y1=\\\"260\\\" x2=\\\"524\\\" y2=\\\"258\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"531\\\" y1=\\\"288\\\" x2=\\\"536\\\" y2=\\\"282\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"583\\\" y1=\\\"312\\\" x2=\\\"580\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"274\\\" y1=\\\"219\\\" x2=\\\"274\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"274\\\" y1=\\\"219\\\" x2=\\\"269\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"282\\\" y1=\\\"229\\\" x2=\\\"288\\\" y2=\\\"227\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"288\\\" y1=\\\"227\\\" x2=\\\"290\\\" y2=\\\"232\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"268\\\" x2=\\\"302\\\" y2=\\\"267\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"268\\\" x2=\\\"297\\\" y2=\\\"275\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"302\\\" y1=\\\"267\\\" x2=\\\"304\\\" y2=\\\"262\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"302\\\" y1=\\\"267\\\" x2=\\\"297\\\" y2=\\\"275\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"302\\\" y1=\\\"267\\\" x2=\\\"306\\\" y2=\\\"269\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"297\\\" y1=\\\"255\\\" x2=\\\"303\\\" y2=\\\"255\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"297\\\" y1=\\\"255\\\" x2=\\\"300\\\" y2=\\\"250\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"303\\\" y1=\\\"255\\\" x2=\\\"304\\\" y2=\\\"262\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"303\\\" y1=\\\"255\\\" x2=\\\"300\\\" y2=\\\"250\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"303\\\" y1=\\\"255\\\" x2=\\\"307\\\" y2=\\\"257\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"304\\\" y1=\\\"262\\\" x2=\\\"307\\\" y2=\\\"257\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"284\\\" y1=\\\"286\\\" x2=\\\"287\\\" y2=\\\"293\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"284\\\" y1=\\\"286\\\" x2=\\\"292\\\" y2=\\\"284\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"274\\\" y1=\\\"301\\\" x2=\\\"281\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"274\\\" y1=\\\"301\\\" x2=\\\"274\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"274\\\" y1=\\\"301\\\" x2=\\\"276\\\" y2=\\\"308\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"274\\\" y1=\\\"301\\\" x2=\\\"269\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"293\\\" x2=\\\"281\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"293\\\" x2=\\\"292\\\" y2=\\\"284\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"293\\\" x2=\\\"289\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"281\\\" y1=\\\"301\\\" x2=\\\"276\\\" y2=\\\"308\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"281\\\" y1=\\\"301\\\" x2=\\\"289\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"234\\\" y1=\\\"286\\\" x2=\\\"232\\\" y2=\\\"293\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"234\\\" y1=\\\"286\\\" x2=\\\"227\\\" y2=\\\"284\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"232\\\" y1=\\\"293\\\" x2=\\\"234\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"232\\\" y1=\\\"293\\\" x2=\\\"227\\\" y2=\\\"284\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"234\\\" y1=\\\"299\\\" x2=\\\"239\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"299\\\" x2=\\\"244\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"239\\\" y1=\\\"299\\\" x2=\\\"244\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"244\\\" y1=\\\"294\\\" x2=\\\"244\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"268\\\" x2=\\\"217\\\" y2=\\\"267\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"268\\\" x2=\\\"222\\\" y2=\\\"275\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"217\\\" y1=\\\"267\\\" x2=\\\"214\\\" y2=\\\"262\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"217\\\" y1=\\\"267\\\" x2=\\\"222\\\" y2=\\\"275\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"217\\\" y1=\\\"267\\\" x2=\\\"212\\\" y2=\\\"269\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"222\\\" y1=\\\"255\\\" x2=\\\"215\\\" y2=\\\"256\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"222\\\" y1=\\\"255\\\" x2=\\\"217\\\" y2=\\\"252\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"256\\\" x2=\\\"214\\\" y2=\\\"262\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"256\\\" x2=\\\"217\\\" y2=\\\"252\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"256\\\" x2=\\\"209\\\" y2=\\\"259\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"214\\\" y1=\\\"262\\\" x2=\\\"209\\\" y2=\\\"259\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"238\\\" y1=\\\"216\\\" x2=\\\"244\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"244\\\" y1=\\\"219\\\" x2=\\\"244\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"244\\\" y1=\\\"219\\\" x2=\\\"249\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"237\\\" y1=\\\"229\\\" x2=\\\"231\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"231\\\" y1=\\\"225\\\" x2=\\\"228\\\" y2=\\\"229\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"264\\\" y1=\\\"316\\\" x2=\\\"264\\\" y2=\\\"309\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"264\\\" y1=\\\"209\\\" x2=\\\"264\\\" y2=\\\"214\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"254\\\" y1=\\\"209\\\" x2=\\\"248\\\" y2=\\\"205\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"254\\\" y1=\\\"209\\\" x2=\\\"254\\\" y2=\\\"214\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"214\\\" y1=\\\"220\\\" x2=\\\"217\\\" y2=\\\"228\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"238\\\" x2=\\\"293\\\" y2=\\\"236\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"292\\\" y1=\\\"247\\\" x2=\\\"295\\\" y2=\\\"242\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"292\\\" y1=\\\"247\\\" x2=\\\"298\\\" y2=\\\"246\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"236\\\" x2=\\\"295\\\" y2=\\\"242\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"236\\\" x2=\\\"290\\\" y2=\\\"232\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"293\\\" y1=\\\"236\\\" x2=\\\"299\\\" y2=\\\"235\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"295\\\" y1=\\\"242\\\" x2=\\\"298\\\" y2=\\\"246\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"295\\\" y1=\\\"242\\\" x2=\\\"299\\\" y2=\\\"235\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"240\\\" x2=\\\"304\\\" y2=\\\"245\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"307\\\" y1=\\\"240\\\" x2=\\\"305\\\" y2=\\\"235\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"227\\\" y1=\\\"247\\\" x2=\\\"222\\\" y2=\\\"243\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"227\\\" y1=\\\"247\\\" x2=\\\"220\\\" y2=\\\"247\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"232\\\" y1=\\\"238\\\" x2=\\\"226\\\" y2=\\\"233\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"221\\\" y1=\\\"237\\\" x2=\\\"226\\\" y2=\\\"233\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"221\\\" y1=\\\"237\\\" x2=\\\"222\\\" y2=\\\"243\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"221\\\" y1=\\\"237\\\" x2=\\\"217\\\" y2=\\\"228\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"221\\\" y1=\\\"237\\\" x2=\\\"214\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"226\\\" y1=\\\"233\\\" x2=\\\"228\\\" y2=\\\"229\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"222\\\" y1=\\\"243\\\" x2=\\\"220\\\" y2=\\\"247\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"239\\\" x2=\\\"208\\\" y2=\\\"244\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"239\\\" x2=\\\"214\\\" y2=\\\"238\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"208\\\" y1=\\\"244\\\" x2=\\\"213\\\" y2=\\\"248\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"311\\\" y1=\\\"272\\\" x2=\\\"306\\\" y2=\\\"269\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"207\\\" y1=\\\"272\\\" x2=\\\"212\\\" y2=\\\"269\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"245\\\" y1=\\\"310\\\" x2=\\\"245\\\" y2=\\\"304\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"245\\\" y1=\\\"310\\\" x2=\\\"250\\\" y2=\\\"312\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"264\\\" y1=\\\"219\\\" x2=\\\"264\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"264\\\" y1=\\\"219\\\" x2=\\\"259\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"264\\\" y1=\\\"219\\\" x2=\\\"269\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"264\\\" y1=\\\"219\\\" x2=\\\"264\\\" y2=\\\"214\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"254\\\" y1=\\\"219\\\" x2=\\\"254\\\" y2=\\\"225\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"254\\\" y1=\\\"219\\\" x2=\\\"259\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"254\\\" y1=\\\"219\\\" x2=\\\"249\\\" y2=\\\"219\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"254\\\" y1=\\\"219\\\" x2=\\\"254\\\" y2=\\\"214\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"264\\\" y1=\\\"301\\\" x2=\\\"264\\\" y2=\\\"294\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"264\\\" y1=\\\"301\\\" x2=\\\"259\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"264\\\" y1=\\\"301\\\" x2=\\\"269\\\" y2=\\\"301\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"264\\\" y1=\\\"301\\\" x2=\\\"264\\\" y2=\\\"309\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"254\\\" y1=\\\"294\\\" x2=\\\"254\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"254\\\" y1=\\\"294\\\" x2=\\\"249\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"301\\\" x2=\\\"254\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"301\\\" x2=\\\"254\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"254\\\" y1=\\\"299\\\" x2=\\\"249\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"254\\\" y1=\\\"299\\\" x2=\\\"254\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"297\\\" y1=\\\"275\\\" x2=\\\"292\\\" y2=\\\"284\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"297\\\" y1=\\\"275\\\" x2=\\\"299\\\" y2=\\\"283\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"292\\\" y1=\\\"284\\\" x2=\\\"299\\\" y2=\\\"283\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"300\\\" y1=\\\"250\\\" x2=\\\"298\\\" y2=\\\"246\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"300\\\" y1=\\\"250\\\" x2=\\\"304\\\" y2=\\\"245\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"298\\\" y1=\\\"246\\\" x2=\\\"304\\\" y2=\\\"245\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"276\\\" y1=\\\"308\\\" x2=\\\"278\\\" y2=\\\"315\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"227\\\" y1=\\\"284\\\" x2=\\\"222\\\" y2=\\\"275\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"227\\\" y1=\\\"284\\\" x2=\\\"220\\\" y2=\\\"282\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"222\\\" y1=\\\"275\\\" x2=\\\"220\\\" y2=\\\"282\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"244\\\" y1=\\\"299\\\" x2=\\\"245\\\" y2=\\\"304\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"244\\\" y1=\\\"299\\\" x2=\\\"249\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"245\\\" y1=\\\"304\\\" x2=\\\"249\\\" y2=\\\"299\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"217\\\" y1=\\\"252\\\" x2=\\\"220\\\" y2=\\\"247\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"217\\\" y1=\\\"252\\\" x2=\\\"213\\\" y2=\\\"248\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"220\\\" y1=\\\"247\\\" x2=\\\"213\\\" y2=\\\"248\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"250\\\" y1=\\\"312\\\" x2=\\\"254\\\" y2=\\\"307\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"299\\\" y1=\\\"235\\\" x2=\\\"305\\\" y2=\\\"235\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"594\\\" y1=\\\"545\\\" x2=\\\"596\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"602\\\" y1=\\\"549\\\" x2=\\\"608\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"608\\\" y1=\\\"545\\\" x2=\\\"610\\\" y2=\\\"550\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"596\\\" y1=\\\"537\\\" x2=\\\"591\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"579\\\" x2=\\\"625\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"579\\\" x2=\\\"624\\\" y2=\\\"575\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"579\\\" x2=\\\"635\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"629\\\" y1=\\\"579\\\" x2=\\\"634\\\" y2=\\\"574\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"625\\\" y1=\\\"587\\\" x2=\\\"617\\\" y2=\\\"584\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"625\\\" y1=\\\"587\\\" x2=\\\"635\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"625\\\" y1=\\\"587\\\" x2=\\\"622\\\" y2=\\\"591\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"575\\\" x2=\\\"621\\\" y2=\\\"571\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"617\\\" y1=\\\"575\\\" x2=\\\"621\\\" y2=\\\"571\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"621\\\" y1=\\\"571\\\" x2=\\\"626\\\" y2=\\\"566\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"621\\\" y1=\\\"571\\\" x2=\\\"619\\\" y2=\\\"566\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"598\\\" y1=\\\"620\\\" x2=\\\"605\\\" y2=\\\"617\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"598\\\" y1=\\\"620\\\" x2=\\\"594\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"598\\\" y1=\\\"620\\\" x2=\\\"603\\\" y2=\\\"623\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"598\\\" y1=\\\"620\\\" x2=\\\"593\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"605\\\" y1=\\\"617\\\" x2=\\\"608\\\" y2=\\\"613\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"605\\\" y1=\\\"617\\\" x2=\\\"603\\\" y2=\\\"623\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"602\\\" y1=\\\"610\\\" x2=\\\"608\\\" y2=\\\"613\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"594\\\" y1=\\\"614\\\" x2=\\\"593\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"608\\\" y1=\\\"613\\\" x2=\\\"613\\\" y2=\\\"615\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"608\\\" y1=\\\"613\\\" x2=\\\"610\\\" y2=\\\"608\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"606\\\" x2=\\\"552\\\" y2=\\\"613\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"554\\\" y1=\\\"606\\\" x2=\\\"547\\\" y2=\\\"604\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"552\\\" y1=\\\"613\\\" x2=\\\"552\\\" y2=\\\"619\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"552\\\" y1=\\\"613\\\" x2=\\\"547\\\" y2=\\\"604\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"564\\\" y1=\\\"614\\\" x2=\\\"563\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"563\\\" y1=\\\"621\\\" x2=\\\"568\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"544\\\" y1=\\\"588\\\" x2=\\\"537\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"544\\\" y1=\\\"588\\\" x2=\\\"542\\\" y2=\\\"595\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"573\\\" x2=\\\"532\\\" y2=\\\"580\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"573\\\" x2=\\\"542\\\" y2=\\\"575\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"573\\\" x2=\\\"528\\\" y2=\\\"573\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"535\\\" y1=\\\"573\\\" x2=\\\"538\\\" y2=\\\"568\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"537\\\" y1=\\\"587\\\" x2=\\\"532\\\" y2=\\\"580\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"537\\\" y1=\\\"587\\\" x2=\\\"542\\\" y2=\\\"595\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"537\\\" y1=\\\"587\\\" x2=\\\"530\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"532\\\" y1=\\\"580\\\" x2=\\\"528\\\" y2=\\\"573\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"532\\\" y1=\\\"580\\\" x2=\\\"530\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"550\\\" y1=\\\"547\\\" x2=\\\"557\\\" y2=\\\"549\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"550\\\" y1=\\\"547\\\" x2=\\\"548\\\" y2=\\\"551\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"564\\\" y1=\\\"545\\\" x2=\\\"564\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"564\\\" y1=\\\"537\\\" x2=\\\"569\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"586\\\" y1=\\\"518\\\" x2=\\\"586\\\" y2=\\\"528\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"636\\\" y1=\\\"601\\\" x2=\\\"640\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"636\\\" y1=\\\"601\\\" x2=\\\"628\\\" y2=\\\"598\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"527\\\" y1=\\\"559\\\" x2=\\\"520\\\" y2=\\\"559\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"527\\\" y1=\\\"559\\\" x2=\\\"534\\\" y2=\\\"561\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"532\\\" y1=\\\"550\\\" x2=\\\"539\\\" y2=\\\"553\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"520\\\" y1=\\\"559\\\" x2=\\\"512\\\" y2=\\\"560\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"638\\\" y1=\\\"569\\\" x2=\\\"634\\\" y2=\\\"574\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"631\\\" y1=\\\"561\\\" x2=\\\"626\\\" y2=\\\"566\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"631\\\" y1=\\\"561\\\" x2=\\\"627\\\" y2=\\\"553\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"563\\\" y1=\\\"641\\\" x2=\\\"570\\\" y2=\\\"634\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"569\\\" y1=\\\"520\\\" x2=\\\"575\\\" y2=\\\"528\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"583\\\" y1=\\\"639\\\" x2=\\\"589\\\" y2=\\\"632\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"583\\\" y1=\\\"639\\\" x2=\\\"580\\\" y2=\\\"633\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"589\\\" y1=\\\"632\\\" x2=\\\"591\\\" y2=\\\"626\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"618\\\" x2=\\\"613\\\" y2=\\\"615\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"619\\\" y1=\\\"618\\\" x2=\\\"624\\\" y2=\\\"614\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"620\\\" y1=\\\"596\\\" x2=\\\"612\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"620\\\" y1=\\\"596\\\" x2=\\\"617\\\" y2=\\\"600\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"620\\\" y1=\\\"596\\\" x2=\\\"622\\\" y2=\\\"591\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"620\\\" y1=\\\"596\\\" x2=\\\"628\\\" y2=\\\"598\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"607\\\" y1=\\\"601\\\" x2=\\\"613\\\" y2=\\\"604\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"617\\\" y1=\\\"600\\\" x2=\\\"613\\\" y2=\\\"604\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"617\\\" y1=\\\"600\\\" x2=\\\"621\\\" y2=\\\"607\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"613\\\" y1=\\\"604\\\" x2=\\\"610\\\" y2=\\\"608\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"613\\\" y1=\\\"604\\\" x2=\\\"621\\\" y2=\\\"607\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"584\\\" y1=\\\"545\\\" x2=\\\"586\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"574\\\" y1=\\\"545\\\" x2=\\\"574\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"580\\\" y1=\\\"535\\\" x2=\\\"574\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"580\\\" y1=\\\"535\\\" x2=\\\"586\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"580\\\" y1=\\\"535\\\" x2=\\\"575\\\" y2=\\\"528\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"574\\\" y1=\\\"537\\\" x2=\\\"569\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"586\\\" y1=\\\"537\\\" x2=\\\"591\\\" y2=\\\"537\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"586\\\" y1=\\\"537\\\" x2=\\\"586\\\" y2=\\\"528\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"607\\\" y1=\\\"558\\\" x2=\\\"613\\\" y2=\\\"554\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"612\\\" y1=\\\"567\\\" x2=\\\"616\\\" y2=\\\"562\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"613\\\" y1=\\\"554\\\" x2=\\\"616\\\" y2=\\\"562\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"613\\\" y1=\\\"554\\\" x2=\\\"610\\\" y2=\\\"550\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"613\\\" y1=\\\"554\\\" x2=\\\"620\\\" y2=\\\"554\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"616\\\" y1=\\\"562\\\" x2=\\\"619\\\" y2=\\\"566\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"616\\\" y1=\\\"562\\\" x2=\\\"620\\\" y2=\\\"554\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"584\\\" y1=\\\"614\\\" x2=\\\"583\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"584\\\" y1=\\\"614\\\" x2=\\\"588\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"574\\\" y1=\\\"614\\\" x2=\\\"573\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"576\\\" y1=\\\"627\\\" x2=\\\"573\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"576\\\" y1=\\\"627\\\" x2=\\\"583\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"576\\\" y1=\\\"627\\\" x2=\\\"570\\\" y2=\\\"634\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"576\\\" y1=\\\"627\\\" x2=\\\"580\\\" y2=\\\"633\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"573\\\" y1=\\\"621\\\" x2=\\\"568\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"583\\\" y1=\\\"620\\\" x2=\\\"588\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"540\\\" y1=\\\"564\\\" x2=\\\"547\\\" y2=\\\"567\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"540\\\" y1=\\\"564\\\" x2=\\\"543\\\" y2=\\\"560\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"540\\\" y1=\\\"564\\\" x2=\\\"538\\\" y2=\\\"568\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"540\\\" y1=\\\"564\\\" x2=\\\"534\\\" y2=\\\"561\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"555\\\" x2=\\\"552\\\" y2=\\\"558\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"555\\\" x2=\\\"543\\\" y2=\\\"560\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"555\\\" x2=\\\"548\\\" y2=\\\"551\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"545\\\" y1=\\\"555\\\" x2=\\\"539\\\" y2=\\\"553\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"635\\\" y1=\\\"586\\\" x2=\\\"640\\\" y2=\\\"593\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"593\\\" y1=\\\"620\\\" x2=\\\"591\\\" y2=\\\"626\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"593\\\" y1=\\\"620\\\" x2=\\\"588\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"591\\\" y1=\\\"626\\\" x2=\\\"588\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"547\\\" y1=\\\"604\\\" x2=\\\"542\\\" y2=\\\"595\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"547\\\" y1=\\\"604\\\" x2=\\\"540\\\" y2=\\\"603\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"542\\\" y1=\\\"595\\\" x2=\\\"540\\\" y2=\\\"603\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"624\\\" y1=\\\"614\\\" x2=\\\"621\\\" y2=\\\"607\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"627\\\" y1=\\\"553\\\" x2=\\\"620\\\" y2=\\\"554\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"284\\\" y1=\\\"554\\\" x2=\\\"287\\\" y2=\\\"547\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"284\\\" y1=\\\"554\\\" x2=\\\"292\\\" y2=\\\"555\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"286\\\" y1=\\\"538\\\" x2=\\\"287\\\" y2=\\\"547\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"274\\\" y1=\\\"539\\\" x2=\\\"274\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"274\\\" y1=\\\"539\\\" x2=\\\"269\\\" y2=\\\"539\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"547\\\" x2=\\\"292\\\" y2=\\\"555\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"571\\\" x2=\\\"302\\\" y2=\\\"573\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"294\\\" y1=\\\"571\\\" x2=\\\"297\\\" y2=\\\"564\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"302\\\" y1=\\\"573\\\" x2=\\\"305\\\" y2=\\\"580\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"302\\\" y1=\\\"573\\\" x2=\\\"297\\\" y2=\\\"564\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"302\\\" y1=\\\"573\\\" x2=\\\"308\\\" y2=\\\"573\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"305\\\" y1=\\\"580\\\" x2=\\\"302\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"305\\\" y1=\\\"580\\\" x2=\\\"308\\\" y2=\\\"573\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"305\\\" y1=\\\"580\\\" x2=\\\"309\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"297\\\" y1=\\\"584\\\" x2=\\\"302\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"297\\\" y1=\\\"584\\\" x2=\\\"300\\\" y2=\\\"590\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"302\\\" y1=\\\"586\\\" x2=\\\"309\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"302\\\" y1=\\\"586\\\" x2=\\\"300\\\" y2=\\\"590\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"617\\\" x2=\\\"287\\\" y2=\\\"612\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"617\\\" x2=\\\"286\\\" y2=\\\"624\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"274\\\" y1=\\\"614\\\" x2=\\\"273\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"278\\\" y1=\\\"621\\\" x2=\\\"286\\\" y2=\\\"624\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"278\\\" y1=\\\"621\\\" x2=\\\"273\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"282\\\" y1=\\\"610\\\" x2=\\\"287\\\" y2=\\\"612\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"612\\\" x2=\\\"295\\\" y2=\\\"615\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"612\\\" x2=\\\"290\\\" y2=\\\"607\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"286\\\" y1=\\\"624\\\" x2=\\\"294\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"286\\\" y1=\\\"624\\\" x2=\\\"285\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"273\\\" y1=\\\"621\\\" x2=\\\"268\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"273\\\" y1=\\\"621\\\" x2=\\\"272\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"231\\\" y1=\\\"616\\\" x2=\\\"237\\\" y2=\\\"610\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"231\\\" y1=\\\"616\\\" x2=\\\"231\\\" y2=\\\"622\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"231\\\" y1=\\\"616\\\" x2=\\\"229\\\" y2=\\\"612\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"244\\\" y1=\\\"614\\\" x2=\\\"244\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"244\\\" y1=\\\"620\\\" x2=\\\"249\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"575\\\" x2=\\\"213\\\" y2=\\\"581\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"575\\\" x2=\\\"222\\\" y2=\\\"575\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"575\\\" x2=\\\"209\\\" y2=\\\"576\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"215\\\" y1=\\\"575\\\" x2=\\\"217\\\" y2=\\\"571\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"213\\\" y1=\\\"581\\\" x2=\\\"216\\\" y2=\\\"585\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"213\\\" y1=\\\"581\\\" x2=\\\"209\\\" y2=\\\"576\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"213\\\" y1=\\\"581\\\" x2=\\\"210\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"222\\\" y1=\\\"584\\\" x2=\\\"216\\\" y2=\\\"585\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"222\\\" y1=\\\"584\\\" x2=\\\"218\\\" y2=\\\"589\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"222\\\" y1=\\\"575\\\" x2=\\\"217\\\" y2=\\\"571\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"216\\\" y1=\\\"585\\\" x2=\\\"210\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"216\\\" y1=\\\"585\\\" x2=\\\"218\\\" y2=\\\"589\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"237\\\" y1=\\\"549\\\" x2=\\\"229\\\" y2=\\\"548\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"244\\\" y1=\\\"545\\\" x2=\\\"244\\\" y2=\\\"540\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"229\\\" y1=\\\"548\\\" x2=\\\"226\\\" y2=\\\"552\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"244\\\" y1=\\\"540\\\" x2=\\\"249\\\" y2=\\\"540\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"303\\\" y1=\\\"618\\\" x2=\\\"295\\\" y2=\\\"615\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"302\\\" y1=\\\"630\\\" x2=\\\"294\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"264\\\" y1=\\\"526\\\" x2=\\\"264\\\" y2=\\\"532\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"216\\\" y1=\\\"619\\\" x2=\\\"216\\\" y2=\\\"625\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"216\\\" y1=\\\"619\\\" x2=\\\"221\\\" y2=\\\"613\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"264\\\" y1=\\\"614\\\" x2=\\\"263\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"254\\\" y1=\\\"614\\\" x2=\\\"254\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"263\\\" y1=\\\"621\\\" x2=\\\"254\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"263\\\" y1=\\\"621\\\" x2=\\\"268\\\" y2=\\\"621\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"263\\\" y1=\\\"621\\\" x2=\\\"258\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"254\\\" y1=\\\"620\\\" x2=\\\"249\\\" y2=\\\"620\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"254\\\" y1=\\\"620\\\" x2=\\\"258\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"285\\\" y1=\\\"637\\\" x2=\\\"285\\\" y2=\\\"630\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"272\\\" y1=\\\"634\\\" x2=\\\"267\\\" y2=\\\"640\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"272\\\" y1=\\\"634\\\" x2=\\\"272\\\" y2=\\\"627\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"292\\\" y1=\\\"593\\\" x2=\\\"295\\\" y2=\\\"599\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"292\\\" y1=\\\"593\\\" x2=\\\"297\\\" y2=\\\"594\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"601\\\" x2=\\\"292\\\" y2=\\\"603\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"287\\\" y1=\\\"601\\\" x2=\\\"290\\\" y2=\\\"607\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"292\\\" y1=\\\"603\\\" x2=\\\"295\\\" y2=\\\"599\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"292\\\" y1=\\\"603\\\" x2=\\\"290\\\" y2=\\\"607\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"292\\\" y1=\\\"603\\\" x2=\\\"298\\\" y2=\\\"604\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"295\\\" y1=\\\"599\\\" x2=\\\"297\\\" y2=\\\"594\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"295\\\" y1=\\\"599\\\" x2=\\\"298\\\" y2=\\\"604\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"209\\\" y1=\\\"562\\\" x2=\\\"213\\\" y2=\\\"566\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"209\\\" y1=\\\"562\\\" x2=\\\"210\\\" y2=\\\"556\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"309\\\" y1=\\\"597\\\" x2=\\\"303\\\" y2=\\\"596\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"304\\\" y1=\\\"606\\\" x2=\\\"298\\\" y2=\\\"604\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"199\\\" y1=\\\"593\\\" x2=\\\"205\\\" y2=\\\"587\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"205\\\" y1=\\\"587\\\" x2=\\\"210\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"226\\\" y1=\\\"607\\\" x2=\\\"232\\\" y2=\\\"601\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"226\\\" y1=\\\"607\\\" x2=\\\"224\\\" y2=\\\"603\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"226\\\" y1=\\\"607\\\" x2=\\\"229\\\" y2=\\\"612\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"226\\\" y1=\\\"607\\\" x2=\\\"221\\\" y2=\\\"613\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"227\\\" y1=\\\"593\\\" x2=\\\"221\\\" y2=\\\"594\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"603\\\" x2=\\\"221\\\" y2=\\\"594\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"603\\\" x2=\\\"216\\\" y2=\\\"600\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"221\\\" y1=\\\"594\\\" x2=\\\"218\\\" y2=\\\"589\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"221\\\" y1=\\\"594\\\" x2=\\\"216\\\" y2=\\\"600\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"227\\\" y1=\\\"567\\\" x2=\\\"222\\\" y2=\\\"562\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"227\\\" y1=\\\"567\\\" x2=\\\"220\\\" y2=\\\"567\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"232\\\" y1=\\\"558\\\" x2=\\\"224\\\" y2=\\\"556\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"556\\\" x2=\\\"222\\\" y2=\\\"562\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"556\\\" x2=\\\"226\\\" y2=\\\"552\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"224\\\" y1=\\\"556\\\" x2=\\\"217\\\" y2=\\\"556\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"222\\\" y1=\\\"562\\\" x2=\\\"220\\\" y2=\\\"567\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"222\\\" y1=\\\"562\\\" x2=\\\"217\\\" y2=\\\"556\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"264\\\" y1=\\\"539\\\" x2=\\\"264\\\" y2=\\\"545\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"264\\\" y1=\\\"539\\\" x2=\\\"259\\\" y2=\\\"539\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"264\\\" y1=\\\"539\\\" x2=\\\"269\\\" y2=\\\"539\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"264\\\" y1=\\\"539\\\" x2=\\\"264\\\" y2=\\\"532\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"254\\\" y1=\\\"545\\\" x2=\\\"254\\\" y2=\\\"540\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"539\\\" x2=\\\"254\\\" y2=\\\"540\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"259\\\" y1=\\\"539\\\" x2=\\\"254\\\" y2=\\\"533\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"254\\\" y1=\\\"540\\\" x2=\\\"249\\\" y2=\\\"540\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"254\\\" y1=\\\"540\\\" x2=\\\"254\\\" y2=\\\"533\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"292\\\" y1=\\\"555\\\" x2=\\\"297\\\" y2=\\\"564\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"292\\\" y1=\\\"555\\\" x2=\\\"299\\\" y2=\\\"557\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"297\\\" y1=\\\"564\\\" x2=\\\"299\\\" y2=\\\"557\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"309\\\" y1=\\\"586\\\" x2=\\\"315\\\" y2=\\\"586\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"300\\\" y1=\\\"590\\\" x2=\\\"297\\\" y2=\\\"594\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"300\\\" y1=\\\"590\\\" x2=\\\"303\\\" y2=\\\"596\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"297\\\" y1=\\\"594\\\" x2=\\\"303\\\" y2=\\\"596\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"209\\\" y1=\\\"576\\\" x2=\\\"204\\\" y2=\\\"577\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"217\\\" y1=\\\"571\\\" x2=\\\"213\\\" y2=\\\"566\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"217\\\" y1=\\\"571\\\" x2=\\\"220\\\" y2=\\\"567\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"213\\\" y1=\\\"566\\\" x2=\\\"220\\\" y2=\\\"567\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"254\\\" y1=\\\"527\\\" x2=\\\"254\\\" y2=\\\"533\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"<line x1=\\\"210\\\" y1=\\\"556\\\" x2=\\\"217\\\" y2=\\\"556\\\" style=\\\"fill:none; stroke:black; stroke-width:\\\"2\\\" />\\n\",\n       \"    <circle cx=\\\"20\\\" cy=\\\"400\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"20\\\" cy=\\\"440\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"23\\\" cy=\\\"479\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"31\\\" cy=\\\"518\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"43\\\" cy=\\\"557\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"59\\\" cy=\\\"593\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"78\\\" cy=\\\"628\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"100\\\" cy=\\\"661\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"126\\\" cy=\\\"692\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"154\\\" cy=\\\"720\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"186\\\" cy=\\\"745\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"219\\\" cy=\\\"766\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"255\\\" cy=\\\"784\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"292\\\" cy=\\\"799\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"330\\\" cy=\\\"810\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"369\\\" cy=\\\"817\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"409\\\" cy=\\\"820\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"449\\\" cy=\\\"819\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"489\\\" cy=\\\"814\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"528\\\" cy=\\\"805\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"565\\\" cy=\\\"792\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"602\\\" cy=\\\"776\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"636\\\" cy=\\\"756\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"669\\\" cy=\\\"733\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"699\\\" cy=\\\"706\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"726\\\" cy=\\\"677\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"750\\\" cy=\\\"645\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"771\\\" cy=\\\"611\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"788\\\" cy=\\\"575\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"802\\\" cy=\\\"538\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"812\\\" cy=\\\"499\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"818\\\" cy=\\\"459\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"820\\\" cy=\\\"420\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"818\\\" cy=\\\"380\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"812\\\" cy=\\\"340\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"802\\\" cy=\\\"302\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"788\\\" cy=\\\"264\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"771\\\" cy=\\\"228\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"750\\\" cy=\\\"194\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"726\\\" cy=\\\"162\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"699\\\" cy=\\\"133\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"669\\\" cy=\\\"107\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"636\\\" cy=\\\"83\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"602\\\" cy=\\\"63\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"565\\\" cy=\\\"47\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"528\\\" cy=\\\"34\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"489\\\" cy=\\\"25\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"449\\\" cy=\\\"20\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"409\\\" cy=\\\"20\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"369\\\" cy=\\\"22\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"330\\\" cy=\\\"29\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"292\\\" cy=\\\"40\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"255\\\" cy=\\\"55\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"219\\\" cy=\\\"73\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"186\\\" cy=\\\"95\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"154\\\" cy=\\\"120\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"126\\\" cy=\\\"147\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"100\\\" cy=\\\"178\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"78\\\" cy=\\\"211\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"59\\\" cy=\\\"246\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"43\\\" cy=\\\"283\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"31\\\" cy=\\\"321\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"23\\\" cy=\\\"360\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"599\\\" cy=\\\"545\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"619\\\" cy=\\\"580\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"599\\\" cy=\\\"614\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"559\\\" cy=\\\"614\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"539\\\" cy=\\\"580\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"559\\\" cy=\\\"545\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"599\\\" cy=\\\"225\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"619\\\" cy=\\\"260\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"599\\\" cy=\\\"294\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"559\\\" cy=\\\"294\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"539\\\" cy=\\\"260\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"559\\\" cy=\\\"225\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"512\\\" cy=\\\"381\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"519\\\" cy=\\\"420\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"512\\\" cy=\\\"458\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"490\\\" cy=\\\"490\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"458\\\" cy=\\\"512\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"419\\\" cy=\\\"520\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"381\\\" cy=\\\"512\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"348\\\" cy=\\\"490\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"327\\\" cy=\\\"458\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"319\\\" cy=\\\"420\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"327\\\" cy=\\\"381\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"348\\\" cy=\\\"349\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"381\\\" cy=\\\"327\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"419\\\" cy=\\\"320\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"458\\\" cy=\\\"327\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"490\\\" cy=\\\"349\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"279\\\" cy=\\\"545\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"299\\\" cy=\\\"580\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"279\\\" cy=\\\"614\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"239\\\" cy=\\\"614\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"219\\\" cy=\\\"580\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"239\\\" cy=\\\"545\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"279\\\" cy=\\\"225\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"299\\\" cy=\\\"260\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"279\\\" cy=\\\"294\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"239\\\" cy=\\\"294\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"219\\\" cy=\\\"260\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"239\\\" cy=\\\"225\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"419\\\" cy=\\\"670\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"421\\\" cy=\\\"168\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"164\\\" cy=\\\"420\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"681\\\" cy=\\\"407\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"514\\\" cy=\\\"705\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"516\\\" cy=\\\"134\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"702\\\" cy=\\\"523\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"307\\\" cy=\\\"134\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"307\\\" cy=\\\"705\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"128\\\" cy=\\\"509\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"138\\\" cy=\\\"321\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"707\\\" cy=\\\"315\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"598\\\" cy=\\\"381\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"242\\\" cy=\\\"384\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"594\\\" cy=\\\"463\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"382\\\" cy=\\\"243\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"454\\\" cy=\\\"595\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"231\\\" cy=\\\"465\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"461\\\" cy=\\\"248\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"376\\\" cy=\\\"590\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"395\\\" cy=\\\"744\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"395\\\" cy=\\\"96\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"95\\\" cy=\\\"387\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"142\\\" cy=\\\"585\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"145\\\" cy=\\\"246\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"741\\\" cy=\\\"456\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"611\\\" cy=\\\"152\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"611\\\" cy=\\\"687\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"682\\\" cy=\\\"221\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"692\\\" cy=\\\"597\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"212\\\" cy=\\\"160\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"235\\\" cy=\\\"689\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"746\\\" cy=\\\"375\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"177\\\" cy=\\\"645\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"339\\\" cy=\\\"646\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"355\\\" cy=\\\"181\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"647\\\" cy=\\\"338\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"455\\\" cy=\\\"115\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"87\\\" cy=\\\"455\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"501\\\" cy=\\\"197\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"463\\\" cy=\\\"750\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"480\\\" cy=\\\"652\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"660\\\" cy=\\\"470\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"184\\\" cy=\\\"361\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"653\\\" cy=\\\"643\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"189\\\" cy=\\\"509\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"569\\\" cy=\\\"727\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"363\\\" cy=\\\"697\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"570\\\" cy=\\\"112\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"164\\\" cy=\\\"191\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"98\\\" cy=\\\"284\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"500\\\" cy=\\\"82\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"723\\\" cy=\\\"260\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"252\\\" cy=\\\"119\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"265\\\" cy=\\\"172\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"339\\\" cy=\\\"753\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"325\\\" cy=\\\"83\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"347\\\" cy=\\\"285\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"491\\\" cy=\\\"555\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"501\\\" cy=\\\"297\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"337\\\" cy=\\\"542\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"652\\\" cy=\\\"538\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"189\\\" cy=\\\"309\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"632\\\" cy=\\\"426\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"671\\\" cy=\\\"274\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"83\\\" cy=\\\"335\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"97\\\" cy=\\\"555\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"755\\\" cy=\\\"509\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"530\\\" cy=\\\"656\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"526\\\" cy=\\\"754\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"735\\\" cy=\\\"565\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"559\\\" cy=\\\"169\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"461\\\" cy=\\\"700\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"283\\\" cy=\\\"349\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"281\\\" cy=\\\"490\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"555\\\" cy=\\\"348\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"539\\\" cy=\\\"500\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"275\\\" cy=\\\"441\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"639\\\" cy=\\\"194\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"263\\\" cy=\\\"733\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"136\\\" cy=\\\"461\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"79\\\" cy=\\\"504\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"327\\\" cy=\\\"220\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"354\\\" cy=\\\"122\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"757\\\" cy=\\\"326\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"700\\\" cy=\\\"362\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"293\\\" cy=\\\"660\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"623\\\" cy=\\\"500\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"437\\\" cy=\\\"69\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"469\\\" cy=\\\"161\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"500\\\" cy=\\\"609\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"138\\\" cy=\\\"368\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"184\\\" cy=\\\"462\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"385\\\" cy=\\\"636\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"226\\\" cy=\\\"340\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"179\\\" cy=\\\"555\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"657\\\" cy=\\\"689\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"657\\\" cy=\\\"152\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"576\\\" cy=\\\"657\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"423\\\" cy=\\\"217\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"643\\\" cy=\\\"383\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"310\\\" cy=\\\"179\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"317\\\" cy=\\\"317\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"195\\\" cy=\\\"222\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"569\\\" cy=\\\"420\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"426\\\" cy=\\\"777\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"61\\\" cy=\\\"418\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"780\\\" cy=\\\"438\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"597\\\" cy=\\\"337\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"698\\\" cy=\\\"642\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"134\\\" cy=\\\"630\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"189\\\" cy=\\\"690\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"420\\\" cy=\\\"272\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"282\\\" cy=\\\"399\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"212\\\" cy=\\\"421\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"581\\\" cy=\\\"506\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"122\\\" cy=\\\"421\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"427\\\" cy=\\\"628\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"417\\\" cy=\\\"566\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"553\\\" cy=\\\"461\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"393\\\" cy=\\\"137\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"698\\\" cy=\\\"447\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"726\\\" cy=\\\"414\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"118\\\" cy=\\\"215\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"287\\\" cy=\\\"99\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"230\\\" cy=\\\"505\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"553\\\" cy=\\\"690\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"462\\\" cy=\\\"208\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"731\\\" cy=\\\"604\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"502\\\" cy=\\\"239\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"463\\\" cy=\\\"288\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"221\\\" cy=\\\"726\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"431\\\" cy=\\\"726\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"297\\\" cy=\\\"757\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"375\\\" cy=\\\"551\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"335\\\" cy=\\\"603\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"182\\\" cy=\\\"602\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"387\\\" cy=\\\"782\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"364\\\" cy=\\\"65\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"103\\\" cy=\\\"596\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"135\\\" cy=\\\"547\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"307\\\" cy=\\\"518\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"722\\\" cy=\\\"489\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"156\\\" cy=\\\"285\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"387\\\" cy=\\\"204\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"57\\\" cy=\\\"379\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"541\\\" cy=\\\"81\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"773\\\" cy=\\\"475\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"659\\\" cy=\\\"577\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"698\\\" cy=\\\"560\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"453\\\" cy=\\\"557\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"638\\\" cy=\\\"293\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"778\\\" cy=\\\"356\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"780\\\" cy=\\\"397\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"218\\\" cy=\\\"650\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"256\\\" cy=\\\"657\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"272\\\" cy=\\\"691\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"522\\\" cy=\\\"329\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"401\\\" cy=\\\"703\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"738\\\" cy=\\\"294\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"604\\\" cy=\\\"739\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"384\\\" cy=\\\"280\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"182\\\" cy=\\\"257\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"609\\\" cy=\\\"113\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"615\\\" cy=\\\"649\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"603\\\" cy=\\\"188\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"562\\\" cy=\\\"384\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"652\\\" cy=\\\"242\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"721\\\" cy=\\\"221\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"688\\\" cy=\\\"180\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"509\\\" cy=\\\"522\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"635\\\" cy=\\\"718\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"401\\\" cy=\\\"59\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"97\\\" cy=\\\"246\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"161\\\" cy=\\\"155\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"159\\\" cy=\\\"490\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"766\\\" cy=\\\"546\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"641\\\" cy=\\\"608\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"214\\\" cy=\\\"121\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"233\\\" cy=\\\"189\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"502\\\" cy=\\\"781\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"259\\\" cy=\\\"323\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"460\\\" cy=\\\"785\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"51\\\" cy=\\\"456\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"147\\\" cy=\\\"663\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"671\\\" cy=\\\"310\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"495\\\" cy=\\\"735\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"670\\\" cy=\\\"506\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"106\\\" cy=\\\"483\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"729\\\" cy=\\\"346\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"472\\\" cy=\\\"58\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"333\\\" cy=\\\"254\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"332\\\" cy=\\\"680\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"311\\\" cy=\\\"626\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"334\\\" cy=\\\"155\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"388\\\" cy=\\\"171\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"664\\\" cy=\\\"436\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"627\\\" cy=\\\"467\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"427\\\" cy=\\\"134\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"161\\\" cy=\\\"527\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"207\\\" cy=\\\"387\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"242\\\" cy=\\\"433\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"62\\\" cy=\\\"310\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"316\\\" cy=\\\"350\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"559\\\" cy=\\\"759\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"755\\\" cy=\\\"266\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"197\\\" cy=\\\"189\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"523\\\" cy=\\\"552\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"133\\\" cy=\\\"179\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"249\\\" cy=\\\"87\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"523\\\" cy=\\\"169\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"535\\\" cy=\\\"201\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"687\\\" cy=\\\"674\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"622\\\" cy=\\\"358\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"385\\\" cy=\\\"671\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"770\\\" cy=\\\"296\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"691\\\" cy=\\\"479\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"349\\\" cy=\\\"317\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"107\\\" cy=\\\"357\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"53\\\" cy=\\\"347\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"70\\\" cy=\\\"536\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"402\\\" cy=\\\"609\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"317\\\" cy=\\\"488\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"353\\\" cy=\\\"784\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"483\\\" cy=\\\"132\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"427\\\" cy=\\\"99\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"259\\\" cy=\\\"519\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"574\\\" cy=\\\"80\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"599\\\" cy=\\\"431\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"489\\\" cy=\\\"684\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"460\\\" cy=\\\"627\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"452\\\" cy=\\\"668\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"488\\\" cy=\\\"268\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"188\\\" cy=\\\"140\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"320\\\" cy=\\\"779\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"634\\\" cy=\\\"131\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"158\\\" cy=\\\"344\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"164\\\" cy=\\\"387\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"359\\\" cy=\\\"220\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"348\\\" cy=\\\"573\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"338\\\" cy=\\\"719\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"365\\\" cy=\\\"736\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"207\\\" cy=\\\"538\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"207\\\" cy=\\\"484\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"121\\\" cy=\\\"264\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"309\\\" cy=\\\"288\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"675\\\" cy=\\\"622\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"91\\\" cy=\\\"417\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"50\\\" cy=\\\"494\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"208\\\" cy=\\\"620\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"622\\\" cy=\\\"320\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"358\\\" cy=\\\"623\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"668\\\" cy=\\\"362\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"733\\\" cy=\\\"532\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"686\\\" cy=\\\"336\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"365\\\" cy=\\\"150\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"470\\\" cy=\\\"88\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"530\\\" cy=\\\"608\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"126\\\" cy=\\\"294\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"103\\\" cy=\\\"313\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"521\\\" cy=\\\"104\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"531\\\" cy=\\\"231\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"541\\\" cy=\\\"717\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"583\\\" cy=\\\"699\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"707\\\" cy=\\\"391\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"282\\\" cy=\\\"69\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"549\\\" cy=\\\"138\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"580\\\" cy=\\\"145\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"721\\\" cy=\\\"191\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"752\\\" cy=\\\"429\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"755\\\" cy=\\\"587\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"259\\\" cy=\\\"203\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"531\\\" cy=\\\"300\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"309\\\" cy=\\\"551\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"210\\\" cy=\\\"288\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"148\\\" cy=\\\"216\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"429\\\" cy=\\\"697\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"638\\\" cy=\\\"667\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"253\\\" cy=\\\"352\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"571\\\" cy=\\\"322\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"501\\\" cy=\\\"52\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"783\\\" cy=\\\"502\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"702\\\" cy=\\\"283\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"701\\\" cy=\\\"242\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"744\\\" cy=\\\"239\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"438\\\" cy=\\\"192\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"366\\\" cy=\\\"95\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"280\\\" cy=\\\"126\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"242\\\" cy=\\\"150\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"159\\\" cy=\\\"690\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"579\\\" cy=\\\"204\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"290\\\" cy=\\\"157\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"785\\\" cy=\\\"329\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"506\\\" cy=\\\"638\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"425\\\" cy=\\\"43\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"106\\\" cy=\\\"624\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"313\\\" cy=\\\"733\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"287\\\" cy=\\\"197\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"155\\\" cy=\\\"611\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"620\\\" cy=\\\"400\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"261\\\" cy=\\\"467\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"296\\\" cy=\\\"463\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"629\\\" cy=\\\"223\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"536\\\" cy=\\\"396\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"112\\\" cy=\\\"532\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"194\\\" cy=\\\"717\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"547\\\" cy=\\\"799\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"123\\\" cy=\\\"392\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"411\\\" cy=\\\"244\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"239\\\" cy=\\\"747\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"80\\\" cy=\\\"363\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"497\\\" cy=\\\"157\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"287\\\" cy=\\\"321\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"298\\\" cy=\\\"374\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"483\\\" cy=\\\"584\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"511\\\" cy=\\\"582\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"70\\\" cy=\\\"283\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"267\\\" cy=\\\"376\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"426\\\" cy=\\\"594\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"481\\\" cy=\\\"528\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"538\\\" cy=\\\"528\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"527\\\" cy=\\\"357\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"578\\\" cy=\\\"362\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"220\\\" cy=\\\"313\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"360\\\" cy=\\\"260\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"71\\\" cy=\\\"477\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"120\\\" cy=\\\"570\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"70\\\" cy=\\\"567\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"186\\\" cy=\\\"403\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"358\\\" cy=\\\"670\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"313\\\" cy=\\\"107\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"337\\\" cy=\\\"57\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"308\\\" cy=\\\"62\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"438\\\" cy=\\\"323\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"435\\\" cy=\\\"295\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"400\\\" cy=\\\"516\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"753\\\" cy=\\\"402\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"714\\\" cy=\\\"581\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"572\\\" cy=\\\"480\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"406\\\" cy=\\\"296\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"748\\\" cy=\\\"483\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"496\\\" cy=\\\"323\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"335\\\" cy=\\\"515\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"360\\\" cy=\\\"529\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"515\\\" cy=\\\"273\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"402\\\" cy=\\\"543\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"169\\\" cy=\\\"234\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"653\\\" cy=\\\"408\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"516\\\" cy=\\\"439\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"544\\\" cy=\\\"434\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"644\\\" cy=\\\"268\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"624\\\" cy=\\\"529\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"638\\\" cy=\\\"560\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"677\\\" cy=\\\"531\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"256\\\" cy=\\\"409\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"609\\\" cy=\\\"713\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"494\\\" cy=\\\"108\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"198\\\" cy=\\\"336\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"164\\\" cy=\\\"319\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"655\\\" cy=\\\"216\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"269\\\" cy=\\\"760\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"283\\\" cy=\\\"715\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"252\\\" cy=\\\"708\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"738\\\" cy=\\\"661\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"725\\\" cy=\\\"632\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"255\\\" cy=\\\"493\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"182\\\" cy=\\\"284\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"488\\\" cy=\\\"710\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"375\\\" cy=\\\"759\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"211\\\" cy=\\\"361\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"661\\\" cy=\\\"179\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"436\\\" cy=\\\"753\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"515\\\" cy=\\\"678\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"554\\\" cy=\\\"641\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"457\\\" cy=\\\"725\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"732\\\" cy=\\\"320\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"478\\\" cy=\\\"229\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"527\\\" cy=\\\"780\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"431\\\" cy=\\\"544\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"215\\\" cy=\\\"207\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"379\\\" cy=\\\"116\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"368\\\" cy=\\\"299\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"409\\\" cy=\\\"117\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"323\\\" cy=\\\"400\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"185\\\" cy=\\\"166\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"624\\\" cy=\\\"174\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"591\\\" cy=\\\"406\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"411\\\" cy=\\\"193\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"437\\\" cy=\\\"239\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"754\\\" cy=\\\"352\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"514\\\" cy=\\\"498\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"531\\\" cy=\\\"475\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"520\\\" cy=\\\"68\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"547\\\" cy=\\\"41\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"598\\\" cy=\\\"89\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"324\\\" cy=\\\"580\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"212\\\" cy=\\\"700\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"452\\\" cy=\\\"141\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"214\\\" cy=\\\"675\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"134\\\" cy=\\\"485\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"112\\\" cy=\\\"459\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"143\\\" cy=\\\"435\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"143\\\" cy=\\\"407\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"103\\\" cy=\\\"509\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"677\\\" cy=\\\"245\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"449\\\" cy=\\\"47\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"544\\\" cy=\\\"113\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"574\\\" cy=\\\"446\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"581\\\" cy=\\\"749\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"209\\\" cy=\\\"449\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"188\\\" cy=\\\"432\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"293\\\" cy=\\\"422\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"670\\\" cy=\\\"555\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"161\\\" cy=\\\"454\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"225\\\" cy=\\\"98\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"520\\\" cy=\\\"730\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"487\\\" cy=\\\"759\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"701\\\" cy=\\\"206\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"259\\\" cy=\\\"614\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"276\\\" cy=\\\"640\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"323\\\" cy=\\\"439\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"479\\\" cy=\\\"306\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"546\\\" cy=\\\"325\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"713\\\" cy=\\\"466\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"384\\\" cy=\\\"721\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"171\\\" cy=\\\"669\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"553\\\" cy=\\\"666\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"415\\\" cy=\\\"79\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"558\\\" cy=\\\"515\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"337\\\" cy=\\\"104\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"331\\\" cy=\\\"131\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"593\\\" cy=\\\"638\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"592\\\" cy=\\\"167\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"476\\\" cy=\\\"608\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"604\\\" cy=\\\"515\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"530\\\" cy=\\\"632\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"267\\\" cy=\\\"148\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"486\\\" cy=\\\"178\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"446\\\" cy=\\\"169\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"289\\\" cy=\\\"242\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"303\\\" cy=\\\"217\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"343\\\" cy=\\\"202\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"622\\\" cy=\\\"625\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"289\\\" cy=\\\"597\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"684\\\" cy=\\\"382\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"722\\\" cy=\\\"372\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"121\\\" cy=\\\"240\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"653\\\" cy=\\\"95\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"668\\\" cy=\\\"599\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"283\\\" cy=\\\"514\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"712\\\" cy=\\\"148\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"683\\\" cy=\\\"154\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"684\\\" cy=\\\"120\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"646\\\" cy=\\\"451\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"350\\\" cy=\\\"26\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"379\\\" cy=\\\"46\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"445\\\" cy=\\\"269\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"709\\\" cy=\\\"614\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"439\\\" cy=\\\"797\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"231\\\" cy=\\\"407\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"402\\\" cy=\\\"654\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"315\\\" cy=\\\"650\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"307\\\" cy=\\\"680\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"644\\\" cy=\\\"514\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"642\\\" cy=\\\"485\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"609\\\" cy=\\\"481\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"155\\\" cy=\\\"563\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"166\\\" cy=\\\"585\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"202\\\" cy=\\\"562\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"194\\\" cy=\\\"662\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"363\\\" cy=\\\"646\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"435\\\" cy=\\\"651\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"43\\\" cy=\\\"434\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"184\\\" cy=\\\"486\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"780\\\" cy=\\\"526\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"129\\\" cy=\\\"345\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"658\\\" cy=\\\"128\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"815\\\" cy=\\\"479\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"795\\\" cy=\\\"466\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"400\\\" cy=\\\"585\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"184\\\" cy=\\\"533\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"674\\\" cy=\\\"199\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"664\\\" cy=\\\"665\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"632\\\" cy=\\\"107\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"397\\\" cy=\\\"225\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"124\\\" cy=\\\"608\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"312\\\" cy=\\\"603\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"124\\\" cy=\\\"653\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"105\\\" cy=\\\"437\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"59\\\" cy=\\\"516\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"584\\\" cy=\\\"784\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"549\\\" cy=\\\"739\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"703\\\" cy=\\\"414\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"590\\\" cy=\\\"677\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"78\\\" cy=\\\"261\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"793\\\" cy=\\\"376\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"441\\\" cy=\\\"576\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"240\\\" cy=\\\"639\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"405\\\" cy=\\\"766\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"408\\\" cy=\\\"795\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"332\\\" cy=\\\"182\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"154\\\" cy=\\\"641\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"645\\\" cy=\\\"315\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"692\\\" cy=\\\"263\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"634\\\" cy=\\\"690\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"657\\\" cy=\\\"712\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"679\\\" cy=\\\"695\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"44\\\" cy=\\\"400\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"68\\\" cy=\\\"440\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"76\\\" cy=\\\"400\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"760\\\" cy=\\\"211\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"795\\\" cy=\\\"417\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"819\\\" cy=\\\"440\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"379\\\" cy=\\\"613\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"459\\\" cy=\\\"535\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"235\\\" cy=\\\"666\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"511\\\" cy=\\\"218\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"701\\\" cy=\\\"500\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"196\\\" cy=\\\"584\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"609\\\" cy=\\\"597\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"399\\\" cy=\\\"263\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"273\\\" cy=\\\"792\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"313\\\" cy=\\\"240\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"618\\\" cy=\\\"445\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"170\\\" cy=\\\"107\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"191\\\" cy=\\\"117\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"675\\\" cy=\\\"644\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"715\\\" cy=\\\"656\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"21\\\" cy=\\\"380\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"469\\\" cy=\\\"23\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"318\\\" cy=\\\"200\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"557\\\" cy=\\\"203\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"389\\\" cy=\\\"818\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"760\\\" cy=\\\"628\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"645\\\" cy=\\\"360\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"723\\\" cy=\\\"512\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"482\\\" cy=\\\"630\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"718\\\" cy=\\\"550\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"708\\\" cy=\\\"337\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"333\\\" cy=\\\"332\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"329\\\" cy=\\\"298\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"579\\\" cy=\\\"545\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"448\\\" cy=\\\"94\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"285\\\" cy=\\\"738\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"175\\\" cy=\\\"211\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"229\\\" cy=\\\"242\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"201\\\" cy=\\\"245\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"174\\\" cy=\\\"708\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"634\\\" cy=\\\"154\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"501\\\" cy=\\\"660\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"589\\\" cy=\\\"124\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"819\\\" cy=\\\"400\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"542\\\" cy=\\\"375\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"81\\\" cy=\\\"587\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"37\\\" cy=\\\"537\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"685\\\" cy=\\\"429\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"680\\\" cy=\\\"460\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"722\\\" cy=\\\"439\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"731\\\" cy=\\\"392\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"105\\\" cy=\\\"335\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"84\\\" cy=\\\"302\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"312\\\" cy=\\\"155\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"233\\\" cy=\\\"361\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"761\\\" cy=\\\"449\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"613\\\" cy=\\\"208\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"600\\\" cy=\\\"359\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"592\\\" cy=\\\"315\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"174\\\" cy=\\\"623\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"346\\\" cy=\\\"77\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"381\\\" cy=\\\"79\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"357\\\" cy=\\\"601\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"337\\\" cy=\\\"624\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"159\\\" cy=\\\"366\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"681\\\" cy=\\\"574\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"90\\\" cy=\\\"527\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"406\\\" cy=\\\"633\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"439\\\" cy=\\\"610\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"589\\\" cy=\\\"720\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"459\\\" cy=\\\"186\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"456\\\" cy=\\\"648\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"350\\\" cy=\\\"240\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"416\\\" cy=\\\"747\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"757\\\" cy=\\\"565\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"770\\\" cy=\\\"416\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"521\\\" cy=\\\"250\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"229\\\" cy=\\\"597\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"185\\\" cy=\\\"382\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"385\\\" cy=\\\"570\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"303\\\" cy=\\\"83\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"317\\\" cy=\\\"754\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"299\\\" cy=\\\"779\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"411\\\" cy=\\\"149\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"358\\\" cy=\\\"45\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"318\\\" cy=\\\"269\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"557\\\" cy=\\\"67\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"558\\\" cy=\\\"94\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"549\\\" cy=\\\"277\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"482\\\" cy=\\\"792\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"469\\\" cy=\\\"816\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"199\\\" cy=\\\"640\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"705\\\" cy=\\\"168\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"438\\\" cy=\\\"516\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"551\\\" cy=\\\"482\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"534\\\" cy=\\\"697\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"199\\\" cy=\\\"270\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"807\\\" cy=\\\"518\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"619\\\" cy=\\\"379\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"20\\\" cy=\\\"420\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"609\\\" cy=\\\"562\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"68\\\" cy=\\\"611\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"579\\\" cy=\\\"614\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"533\\\" cy=\\\"454\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"779\\\" cy=\\\"246\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"548\\\" cy=\\\"778\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"303\\\" cy=\\\"394\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"690\\\" cy=\\\"302\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"243\\\" cy=\\\"727\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"304\\\" cy=\\\"333\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"97\\\" cy=\\\"223\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"89\\\" cy=\\\"194\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"68\\\" cy=\\\"228\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"116\\\" cy=\\\"193\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"98\\\" cy=\\\"576\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"90\\\" cy=\\\"612\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"574\\\" cy=\\\"342\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"209\\\" cy=\\\"505\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"228\\\" cy=\\\"485\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"239\\\" cy=\\\"524\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"137\\\" cy=\\\"277\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"663\\\" cy=\\\"389\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"541\\\" cy=\\\"158\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"570\\\" cy=\\\"187\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"406\\\" cy=\\\"725\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"160\\\" cy=\\\"263\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"149\\\" cy=\\\"304\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"549\\\" cy=\\\"413\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"269\\\" cy=\\\"109\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"177\\\" cy=\\\"335\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"771\\\" cy=\\\"377\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"223\\\" cy=\\\"141\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"240\\\" cy=\\\"315\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"472\\\" cy=\\\"672\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"302\\\" cy=\\\"442\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"741\\\" cy=\\\"219\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"451\\\" cy=\\\"767\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"244\\\" cy=\\\"171\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"229\\\" cy=\\\"562\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"564\\\" cy=\\\"707\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"484\\\" cy=\\\"248\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"455\\\" cy=\\\"228\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"237\\\" cy=\\\"775\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"388\\\" cy=\\\"307\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"269\\\" cy=\\\"88\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"108\\\" cy=\\\"406\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"815\\\" cy=\\\"360\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"365\\\" cy=\\\"501\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"443\\\" cy=\\\"212\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"480\\\" cy=\\\"198\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"579\\\" cy=\\\"294\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"579\\\" cy=\\\"225\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"259\\\" cy=\\\"225\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"259\\\" cy=\\\"545\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"259\\\" cy=\\\"294\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"549\\\" cy=\\\"242\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"549\\\" cy=\\\"562\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"609\\\" cy=\\\"242\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"589\\\" cy=\\\"215\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"614\\\" cy=\\\"224\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"606\\\" cy=\\\"216\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"589\\\" cy=\\\"225\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"609\\\" cy=\\\"277\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"629\\\" cy=\\\"276\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"636\\\" cy=\\\"251\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"624\\\" cy=\\\"241\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"632\\\" cy=\\\"264\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"619\\\" cy=\\\"294\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"611\\\" cy=\\\"307\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"596\\\" cy=\\\"305\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"589\\\" cy=\\\"294\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"545\\\" cy=\\\"297\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"565\\\" cy=\\\"308\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"553\\\" cy=\\\"310\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"554\\\" cy=\\\"286\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"569\\\" cy=\\\"294\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"535\\\" cy=\\\"245\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"527\\\" cy=\\\"266\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"530\\\" cy=\\\"255\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"544\\\" cy=\\\"268\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"544\\\" cy=\\\"251\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"547\\\" cy=\\\"213\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"545\\\" cy=\\\"228\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"569\\\" cy=\\\"215\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"558\\\" cy=\\\"214\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"569\\\" cy=\\\"225\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"554\\\" cy=\\\"234\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"501\\\" cy=\\\"365\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"509\\\" cy=\\\"353\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"462\\\" cy=\\\"268\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"474\\\" cy=\\\"258\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"470\\\" cy=\\\"238\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"659\\\" cy=\\\"324\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"634\\\" cy=\\\"348\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"634\\\" cy=\\\"329\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"666\\\" cy=\\\"337\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"646\\\" cy=\\\"327\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"512\\\" cy=\\\"183\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"518\\\" cy=\\\"199\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"490\\\" cy=\\\"213\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"506\\\" cy=\\\"208\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"512\\\" cy=\\\"313\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"494\\\" cy=\\\"282\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"516\\\" cy=\\\"299\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"508\\\" cy=\\\"285\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"655\\\" cy=\\\"284\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"662\\\" cy=\\\"258\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"671\\\" cy=\\\"292\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"658\\\" cy=\\\"271\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"674\\\" cy=\\\"259\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"541\\\" cy=\\\"169\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"547\\\" cy=\\\"185\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"575\\\" cy=\\\"168\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"558\\\" cy=\\\"186\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"564\\\" cy=\\\"178\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"558\\\" cy=\\\"366\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"563\\\" cy=\\\"335\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"541\\\" cy=\\\"353\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"567\\\" cy=\\\"355\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"551\\\" cy=\\\"337\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"548\\\" cy=\\\"361\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"565\\\" cy=\\\"345\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"634\\\" cy=\\\"208\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"647\\\" cy=\\\"205\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"631\\\" cy=\\\"184\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"657\\\" cy=\\\"196\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"626\\\" cy=\\\"201\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"609\\\" cy=\\\"348\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"609\\\" cy=\\\"329\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"584\\\" cy=\\\"330\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"598\\\" cy=\\\"348\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"594\\\" cy=\\\"326\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"586\\\" cy=\\\"340\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"495\\\" cy=\\\"254\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"516\\\" cy=\\\"235\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"509\\\" cy=\\\"256\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"490\\\" cy=\\\"234\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"507\\\" cy=\\\"229\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"511\\\" cy=\\\"245\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"493\\\" cy=\\\"244\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"654\\\" cy=\\\"302\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"630\\\" cy=\\\"307\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"641\\\" cy=\\\"281\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"641\\\" cy=\\\"304\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"526\\\" cy=\\\"314\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"525\\\" cy=\\\"343\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"534\\\" cy=\\\"327\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"591\\\" cy=\\\"196\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"613\\\" cy=\\\"181\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"597\\\" cy=\\\"177\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"608\\\" cy=\\\"198\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"586\\\" cy=\\\"187\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"641\\\" cy=\\\"232\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"648\\\" cy=\\\"255\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"654\\\" cy=\\\"229\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"664\\\" cy=\\\"244\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"658\\\" cy=\\\"313\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"529\\\" cy=\\\"185\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"505\\\" cy=\\\"174\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"533\\\" cy=\\\"216\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"523\\\" cy=\\\"210\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"546\\\" cy=\\\"202\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"622\\\" cy=\\\"339\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"611\\\" cy=\\\"359\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"501\\\" cy=\\\"270\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"483\\\" cy=\\\"287\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"486\\\" cy=\\\"258\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"633\\\" cy=\\\"318\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"607\\\" cy=\\\"318\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"521\\\" cy=\\\"225\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"526\\\" cy=\\\"241\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"540\\\" cy=\\\"237\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"523\\\" cy=\\\"287\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"538\\\" cy=\\\"313\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"540\\\" cy=\\\"289\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"558\\\" cy=\\\"324\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"581\\\" cy=\\\"319\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"572\\\" cy=\\\"332\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"575\\\" cy=\\\"308\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"568\\\" cy=\\\"204\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"596\\\" cy=\\\"206\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"574\\\" cy=\\\"196\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"579\\\" cy=\\\"215\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"642\\\" cy=\\\"219\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"621\\\" cy=\\\"215\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"537\\\" cy=\\\"341\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"518\\\" cy=\\\"261\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"532\\\" cy=\\\"275\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"666\\\" cy=\\\"231\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"642\\\" cy=\\\"177\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"495\\\" cy=\\\"223\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"481\\\" cy=\\\"238\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"608\\\" cy=\\\"170\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"618\\\" cy=\\\"191\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"581\\\" cy=\\\"177\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"563\\\" cy=\\\"195\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"609\\\" cy=\\\"369\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"587\\\" cy=\\\"351\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"586\\\" cy=\\\"305\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"269\\\" cy=\\\"214\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"283\\\" cy=\\\"211\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"284\\\" cy=\\\"234\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"291\\\" cy=\\\"221\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"269\\\" cy=\\\"225\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"289\\\" cy=\\\"277\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"304\\\" cy=\\\"274\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"294\\\" cy=\\\"251\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"306\\\" cy=\\\"250\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"309\\\" cy=\\\"264\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"269\\\" cy=\\\"309\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"294\\\" cy=\\\"291\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"283\\\" cy=\\\"308\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"269\\\" cy=\\\"294\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"229\\\" cy=\\\"277\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"225\\\" cy=\\\"291\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"229\\\" cy=\\\"304\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"240\\\" cy=\\\"304\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"249\\\" cy=\\\"294\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"215\\\" cy=\\\"274\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"224\\\" cy=\\\"251\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"210\\\" cy=\\\"252\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"209\\\" cy=\\\"265\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"236\\\" cy=\\\"207\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"249\\\" cy=\\\"214\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"227\\\" cy=\\\"216\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"234\\\" cy=\\\"234\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"249\\\" cy=\\\"225\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"366\\\" cy=\\\"242\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"223\\\" cy=\\\"175\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"204\\\" cy=\\\"175\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"228\\\" cy=\\\"165\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"357\\\" cy=\\\"201\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"162\\\" cy=\\\"173\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"180\\\" cy=\\\"190\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"156\\\" cy=\\\"204\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"174\\\" cy=\\\"178\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"262\\\" cy=\\\"188\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"254\\\" cy=\\\"161\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"278\\\" cy=\\\"165\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"276\\\" cy=\\\"185\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"255\\\" cy=\\\"172\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"365\\\" cy=\\\"282\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"340\\\" cy=\\\"269\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"348\\\" cy=\\\"301\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"354\\\" cy=\\\"272\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"338\\\" cy=\\\"291\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"333\\\" cy=\\\"277\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"199\\\" cy=\\\"298\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"204\\\" cy=\\\"311\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"193\\\" cy=\\\"323\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"186\\\" cy=\\\"296\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"183\\\" cy=\\\"322\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"271\\\" cy=\\\"336\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"299\\\" cy=\\\"349\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"268\\\" cy=\\\"350\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"285\\\" cy=\\\"335\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"275\\\" cy=\\\"362\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"293\\\" cy=\\\"341\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"330\\\" cy=\\\"237\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"343\\\" cy=\\\"220\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"315\\\" cy=\\\"219\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"335\\\" cy=\\\"211\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"320\\\" cy=\\\"230\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"322\\\" cy=\\\"210\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"339\\\" cy=\\\"230\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"243\\\" cy=\\\"331\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"240\\\" cy=\\\"346\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"223\\\" cy=\\\"326\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"212\\\" cy=\\\"338\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"233\\\" cy=\\\"327\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"300\\\" cy=\\\"168\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"298\\\" cy=\\\"188\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"314\\\" cy=\\\"189\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"333\\\" cy=\\\"317\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"313\\\" cy=\\\"303\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"302\\\" cy=\\\"319\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"323\\\" cy=\\\"308\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"310\\\" cy=\\\"325\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"196\\\" cy=\\\"206\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"182\\\" cy=\\\"228\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"205\\\" cy=\\\"215\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"185\\\" cy=\\\"217\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"212\\\" cy=\\\"232\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"198\\\" cy=\\\"234\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"175\\\" cy=\\\"246\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"182\\\" cy=\\\"271\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"191\\\" cy=\\\"251\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"190\\\" cy=\\\"264\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"171\\\" cy=\\\"260\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"147\\\" cy=\\\"167\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"215\\\" cy=\\\"189\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"246\\\" cy=\\\"196\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"224\\\" cy=\\\"198\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"239\\\" cy=\\\"180\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"256\\\" cy=\\\"338\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"273\\\" cy=\\\"322\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"250\\\" cy=\\\"319\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"259\\\" cy=\\\"309\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"346\\\" cy=\\\"257\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"323\\\" cy=\\\"247\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"341\\\" cy=\\\"247\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"325\\\" cy=\\\"261\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"206\\\" cy=\\\"198\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"186\\\" cy=\\\"200\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"140\\\" cy=\\\"198\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"339\\\" cy=\\\"307\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"351\\\" cy=\\\"211\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"355\\\" cy=\\\"230\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"298\\\" cy=\\\"305\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"319\\\" cy=\\\"293\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"313\\\" cy=\\\"279\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"273\\\" cy=\\\"200\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"252\\\" cy=\\\"187\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"259\\\" cy=\\\"214\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"215\\\" cy=\\\"301\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"196\\\" cy=\\\"286\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"204\\\" cy=\\\"279\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"161\\\" cy=\\\"214\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"289\\\" cy=\\\"177\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"295\\\" cy=\\\"207\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"302\\\" cy=\\\"199\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"295\\\" cy=\\\"327\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"209\\\" cy=\\\"325\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"230\\\" cy=\\\"314\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"355\\\" cy=\\\"250\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"172\\\" cy=\\\"222\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"185\\\" cy=\\\"239\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"164\\\" cy=\\\"248\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"173\\\" cy=\\\"301\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"190\\\" cy=\\\"277\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"171\\\" cy=\\\"273\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"222\\\" cy=\\\"225\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"296\\\" cy=\\\"229\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"301\\\" cy=\\\"241\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"308\\\" cy=\\\"228\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"310\\\" cy=\\\"208\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"330\\\" cy=\\\"201\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"325\\\" cy=\\\"191\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"316\\\" cy=\\\"255\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"319\\\" cy=\\\"333\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"324\\\" cy=\\\"284\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"215\\\" cy=\\\"243\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"200\\\" cy=\\\"258\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"250\\\" cy=\\\"304\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"612\\\" cy=\\\"537\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"602\\\" cy=\\\"530\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"589\\\" cy=\\\"545\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"604\\\" cy=\\\"554\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"639\\\" cy=\\\"578\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"630\\\" cy=\\\"594\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"629\\\" cy=\\\"570\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"614\\\" cy=\\\"588\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"614\\\" cy=\\\"571\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"596\\\" cy=\\\"626\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"611\\\" cy=\\\"620\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"604\\\" cy=\\\"606\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"589\\\" cy=\\\"614\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"549\\\" cy=\\\"597\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"545\\\" cy=\\\"611\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"556\\\" cy=\\\"628\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"545\\\" cy=\\\"623\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"569\\\" cy=\\\"614\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"531\\\" cy=\\\"566\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"535\\\" cy=\\\"594\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"525\\\" cy=\\\"581\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"544\\\" cy=\\\"571\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"541\\\" cy=\\\"548\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"548\\\" cy=\\\"536\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"559\\\" cy=\\\"530\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"569\\\" cy=\\\"545\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"554\\\" cy=\\\"554\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"513\\\" cy=\\\"478\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"700\\\" cy=\\\"541\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"613\\\" cy=\\\"668\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"597\\\" cy=\\\"693\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"624\\\" cy=\\\"677\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"601\\\" cy=\\\"682\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"684\\\" cy=\\\"609\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"665\\\" cy=\\\"488\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"634\\\" cy=\\\"646\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"647\\\" cy=\\\"626\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"664\\\" cy=\\\"632\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"645\\\" cy=\\\"655\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"638\\\" cy=\\\"634\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"500\\\" cy=\\\"539\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"507\\\" cy=\\\"553\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"487\\\" cy=\\\"569\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"501\\\" cy=\\\"569\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"661\\\" cy=\\\"522\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"638\\\" cy=\\\"534\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"645\\\" cy=\\\"549\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"664\\\" cy=\\\"535\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"661\\\" cy=\\\"546\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"648\\\" cy=\\\"526\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"518\\\" cy=\\\"647\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"542\\\" cy=\\\"649\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"542\\\" cy=\\\"661\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"530\\\" cy=\\\"644\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"524\\\" cy=\\\"511\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"538\\\" cy=\\\"514\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"535\\\" cy=\\\"487\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"549\\\" cy=\\\"507\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"545\\\" cy=\\\"491\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"624\\\" cy=\\\"515\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"614\\\" cy=\\\"507\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"634\\\" cy=\\\"507\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"616\\\" cy=\\\"491\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"515\\\" cy=\\\"608\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"503\\\" cy=\\\"623\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"492\\\" cy=\\\"596\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"506\\\" cy=\\\"595\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"515\\\" cy=\\\"620\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"565\\\" cy=\\\"649\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"565\\\" cy=\\\"661\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"585\\\" cy=\\\"648\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"583\\\" cy=\\\"667\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"577\\\" cy=\\\"493\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"570\\\" cy=\\\"510\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"593\\\" cy=\\\"511\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"595\\\" cy=\\\"494\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"580\\\" cy=\\\"526\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"563\\\" cy=\\\"471\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"571\\\" cy=\\\"683\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"650\\\" cy=\\\"593\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"648\\\" cy=\\\"569\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"664\\\" cy=\\\"566\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"664\\\" cy=\\\"588\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"670\\\" cy=\\\"575\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"688\\\" cy=\\\"546\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"684\\\" cy=\\\"557\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"468\\\" cy=\\\"571\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"626\\\" cy=\\\"658\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"604\\\" cy=\\\"644\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"619\\\" cy=\\\"637\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"603\\\" cy=\\\"663\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"516\\\" cy=\\\"537\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"523\\\" cy=\\\"525\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"658\\\" cy=\\\"615\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"632\\\" cy=\\\"617\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"655\\\" cy=\\\"604\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"625\\\" cy=\\\"603\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"656\\\" cy=\\\"495\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"517\\\" cy=\\\"567\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"530\\\" cy=\\\"540\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"536\\\" cy=\\\"557\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"672\\\" cy=\\\"610\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"692\\\" cy=\\\"618\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"521\\\" cy=\\\"595\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"530\\\" cy=\\\"620\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"518\\\" cy=\\\"635\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"497\\\" cy=\\\"583\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"548\\\" cy=\\\"521\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"573\\\" cy=\\\"463\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"565\\\" cy=\\\"497\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"590\\\" cy=\\\"481\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"562\\\" cy=\\\"481\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"631\\\" cy=\\\"545\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"614\\\" cy=\\\"522\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"634\\\" cy=\\\"522\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"617\\\" cy=\\\"546\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"654\\\" cy=\\\"558\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"624\\\" cy=\\\"561\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"534\\\" cy=\\\"672\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"553\\\" cy=\\\"654\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"573\\\" cy=\\\"640\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"542\\\" cy=\\\"637\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"566\\\" cy=\\\"628\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"523\\\" cy=\\\"486\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"675\\\" cy=\\\"564\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"571\\\" cy=\\\"671\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"569\\\" cy=\\\"530\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"555\\\" cy=\\\"498\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"607\\\" cy=\\\"632\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"591\\\" cy=\\\"658\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"586\\\" cy=\\\"626\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"606\\\" cy=\\\"498\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"592\\\" cy=\\\"530\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"616\\\" cy=\\\"611\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"675\\\" cy=\\\"586\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"643\\\" cy=\\\"500\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"625\\\" cy=\\\"483\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"289\\\" cy=\\\"562\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"293\\\" cy=\\\"532\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"269\\\" cy=\\\"532\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"294\\\" cy=\\\"548\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"281\\\" cy=\\\"529\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"269\\\" cy=\\\"545\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"304\\\" cy=\\\"565\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"312\\\" cy=\\\"580\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"294\\\" cy=\\\"588\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"306\\\" cy=\\\"591\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"295\\\" cy=\\\"620\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"269\\\" cy=\\\"614\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"277\\\" cy=\\\"627\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"284\\\" cy=\\\"606\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"296\\\" cy=\\\"609\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"224\\\" cy=\\\"617\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"249\\\" cy=\\\"614\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"239\\\" cy=\\\"627\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"234\\\" cy=\\\"606\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"211\\\" cy=\\\"571\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"208\\\" cy=\\\"582\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"224\\\" cy=\\\"588\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"224\\\" cy=\\\"571\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"223\\\" cy=\\\"541\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"239\\\" cy=\\\"535\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"234\\\" cy=\\\"554\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"249\\\" cy=\\\"545\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"131\\\" cy=\\\"528\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"145\\\" cy=\\\"518\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"243\\\" cy=\\\"479\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"362\\\" cy=\\\"581\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"228\\\" cy=\\\"707\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"245\\\" cy=\\\"673\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"253\\\" cy=\\\"690\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"223\\\" cy=\\\"694\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"224\\\" cy=\\\"682\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"235\\\" cy=\\\"677\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"335\\\" cy=\\\"663\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"349\\\" cy=\\\"634\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"175\\\" cy=\\\"518\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"198\\\" cy=\\\"523\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"198\\\" cy=\\\"497\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"187\\\" cy=\\\"521\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"199\\\" cy=\\\"507\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"356\\\" cy=\\\"547\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"322\\\" cy=\\\"530\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"343\\\" cy=\\\"558\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"323\\\" cy=\\\"547\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"336\\\" cy=\\\"529\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"331\\\" cy=\\\"561\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"294\\\" cy=\\\"504\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"299\\\" cy=\\\"489\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"271\\\" cy=\\\"478\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"268\\\" cy=\\\"491\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"282\\\" cy=\\\"502\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"275\\\" cy=\\\"658\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"283\\\" cy=\\\"675\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"302\\\" cy=\\\"643\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"285\\\" cy=\\\"650\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"304\\\" cy=\\\"655\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"170\\\" cy=\\\"541\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"193\\\" cy=\\\"546\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"172\\\" cy=\\\"570\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"190\\\" cy=\\\"559\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"181\\\" cy=\\\"544\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"187\\\" cy=\\\"570\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"245\\\" cy=\\\"512\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"218\\\" cy=\\\"521\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"242\\\" cy=\\\"499\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"220\\\" cy=\\\"505\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"229\\\" cy=\\\"495\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"234\\\" cy=\\\"515\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"342\\\" cy=\\\"588\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"347\\\" cy=\\\"613\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"330\\\" cy=\\\"592\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"324\\\" cy=\\\"603\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"346\\\" cy=\\\"602\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"336\\\" cy=\\\"614\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"195\\\" cy=\\\"611\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"168\\\" cy=\\\"607\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"174\\\" cy=\\\"593\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"189\\\" cy=\\\"593\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"178\\\" cy=\\\"613\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"312\\\" cy=\\\"503\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"308\\\" cy=\\\"535\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"321\\\" cy=\\\"516\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"295\\\" cy=\\\"516\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"213\\\" cy=\\\"635\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"216\\\" cy=\\\"663\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"206\\\" cy=\\\"656\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"229\\\" cy=\\\"645\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"227\\\" cy=\\\"658\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"209\\\" cy=\\\"645\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"264\\\" cy=\\\"674\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"266\\\" cy=\\\"649\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"248\\\" cy=\\\"648\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"245\\\" cy=\\\"662\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"160\\\" cy=\\\"508\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"324\\\" cy=\\\"665\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"293\\\" cy=\\\"633\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"313\\\" cy=\\\"638\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"311\\\" cy=\\\"615\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"324\\\" cy=\\\"625\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"158\\\" cy=\\\"545\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"326\\\" cy=\\\"501\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"257\\\" cy=\\\"506\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"271\\\" cy=\\\"517\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"249\\\" cy=\\\"522\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"259\\\" cy=\\\"532\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"336\\\" cy=\\\"577\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"353\\\" cy=\\\"587\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"367\\\" cy=\\\"572\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"205\\\" cy=\\\"550\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"195\\\" cy=\\\"535\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"208\\\" cy=\\\"521\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"223\\\" cy=\\\"531\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"218\\\" cy=\\\"550\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"224\\\" cy=\\\"630\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"202\\\" cy=\\\"602\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"191\\\" cy=\\\"622\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"219\\\" cy=\\\"609\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"203\\\" cy=\\\"630\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"358\\\" cy=\\\"612\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"348\\\" cy=\\\"623\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"316\\\" cy=\\\"566\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"160\\\" cy=\\\"598\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"279\\\" cy=\\\"465\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"347\\\" cy=\\\"522\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"350\\\" cy=\\\"508\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"269\\\" cy=\\\"504\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"241\\\" cy=\\\"489\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"318\\\" cy=\\\"592\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"267\\\" cy=\\\"627\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"249\\\" cy=\\\"627\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"258\\\" cy=\\\"640\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"301\\\" cy=\\\"600\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"311\\\" cy=\\\"665\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"326\\\" cy=\\\"637\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"181\\\" cy=\\\"584\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"199\\\" cy=\\\"573\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"216\\\" cy=\\\"562\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"324\\\" cy=\\\"614\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"237\\\" cy=\\\"652\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"368\\\" cy=\\\"607\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"213\\\" cy=\\\"591\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"186\\\" cy=\\\"632\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"219\\\" cy=\\\"495\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"249\\\" cy=\\\"535\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"604\\\" cy=\\\"234\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"594\\\" cy=\\\"220\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"607\\\" cy=\\\"224\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"594\\\" cy=\\\"225\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"598\\\" cy=\\\"215\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"614\\\" cy=\\\"251\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"614\\\" cy=\\\"268\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"624\\\" cy=\\\"268\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"628\\\" cy=\\\"255\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"622\\\" cy=\\\"250\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"626\\\" cy=\\\"262\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"604\\\" cy=\\\"286\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"609\\\" cy=\\\"294\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"605\\\" cy=\\\"301\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"598\\\" cy=\\\"300\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"594\\\" cy=\\\"294\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"562\\\" cy=\\\"301\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"556\\\" cy=\\\"302\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"557\\\" cy=\\\"290\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"564\\\" cy=\\\"294\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"550\\\" cy=\\\"291\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"537\\\" cy=\\\"252\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"533\\\" cy=\\\"263\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"535\\\" cy=\\\"257\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"542\\\" cy=\\\"264\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"542\\\" cy=\\\"255\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"536\\\" cy=\\\"267\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"553\\\" cy=\\\"219\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"552\\\" cy=\\\"226\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"564\\\" cy=\\\"220\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"564\\\" cy=\\\"225\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"557\\\" cy=\\\"229\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"533\\\" cy=\\\"238\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"538\\\" cy=\\\"230\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"568\\\" cy=\\\"315\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"584\\\" cy=\\\"210\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"574\\\" cy=\\\"210\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"588\\\" cy=\\\"205\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"524\\\" cy=\\\"274\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"637\\\" cy=\\\"272\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"601\\\" cy=\\\"311\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"589\\\" cy=\\\"310\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"552\\\" cy=\\\"281\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"547\\\" cy=\\\"273\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"545\\\" cy=\\\"283\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"541\\\" cy=\\\"276\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"584\\\" cy=\\\"294\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"572\\\" cy=\\\"301\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"574\\\" cy=\\\"294\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"577\\\" cy=\\\"301\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"583\\\" cy=\\\"300\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"584\\\" cy=\\\"220\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"584\\\" cy=\\\"225\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"574\\\" cy=\\\"220\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"574\\\" cy=\\\"225\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"579\\\" cy=\\\"220\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"542\\\" cy=\\\"244\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"547\\\" cy=\\\"247\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"547\\\" cy=\\\"235\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"552\\\" cy=\\\"238\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"545\\\" cy=\\\"239\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"612\\\" cy=\\\"233\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"617\\\" cy=\\\"242\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"589\\\" cy=\\\"220\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"584\\\" cy=\\\"215\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"619\\\" cy=\\\"232\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"619\\\" cy=\\\"277\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"614\\\" cy=\\\"285\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"630\\\" cy=\\\"270\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"624\\\" cy=\\\"285\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"630\\\" cy=\\\"246\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"634\\\" cy=\\\"257\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"638\\\" cy=\\\"242\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"640\\\" cy=\\\"259\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"615\\\" cy=\\\"300\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"603\\\" cy=\\\"306\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"620\\\" cy=\\\"307\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"593\\\" cy=\\\"300\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"591\\\" cy=\\\"305\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"588\\\" cy=\\\"300\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"567\\\" cy=\\\"301\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"562\\\" cy=\\\"316\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"570\\\" cy=\\\"308\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"547\\\" cy=\\\"287\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"532\\\" cy=\\\"250\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"540\\\" cy=\\\"248\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"537\\\" cy=\\\"241\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"529\\\" cy=\\\"260\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"530\\\" cy=\\\"270\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"528\\\" cy=\\\"248\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"524\\\" cy=\\\"258\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"538\\\" cy=\\\"271\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"550\\\" cy=\\\"231\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"539\\\" cy=\\\"222\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"542\\\" cy=\\\"232\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"569\\\" cy=\\\"220\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"574\\\" cy=\\\"215\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"531\\\" cy=\\\"288\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"536\\\" cy=\\\"282\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"583\\\" cy=\\\"312\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"580\\\" cy=\\\"307\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"274\\\" cy=\\\"219\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"282\\\" cy=\\\"229\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"274\\\" cy=\\\"225\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"288\\\" cy=\\\"227\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"294\\\" cy=\\\"268\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"302\\\" cy=\\\"267\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"297\\\" cy=\\\"255\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"303\\\" cy=\\\"255\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"304\\\" cy=\\\"262\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"284\\\" cy=\\\"286\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"274\\\" cy=\\\"301\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"287\\\" cy=\\\"293\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"281\\\" cy=\\\"301\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"274\\\" cy=\\\"294\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"234\\\" cy=\\\"286\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"232\\\" cy=\\\"293\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"234\\\" cy=\\\"299\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"239\\\" cy=\\\"299\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"244\\\" cy=\\\"294\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"224\\\" cy=\\\"268\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"217\\\" cy=\\\"267\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"222\\\" cy=\\\"255\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"215\\\" cy=\\\"256\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"214\\\" cy=\\\"262\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"238\\\" cy=\\\"216\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"244\\\" cy=\\\"219\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"237\\\" cy=\\\"229\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"244\\\" cy=\\\"225\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"231\\\" cy=\\\"225\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"264\\\" cy=\\\"316\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"264\\\" cy=\\\"209\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"254\\\" cy=\\\"209\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"214\\\" cy=\\\"220\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"287\\\" cy=\\\"238\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"292\\\" cy=\\\"247\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"293\\\" cy=\\\"236\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"295\\\" cy=\\\"242\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"307\\\" cy=\\\"240\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"227\\\" cy=\\\"247\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"232\\\" cy=\\\"238\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"221\\\" cy=\\\"237\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"226\\\" cy=\\\"233\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"222\\\" cy=\\\"243\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"207\\\" cy=\\\"239\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"208\\\" cy=\\\"244\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"311\\\" cy=\\\"272\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"207\\\" cy=\\\"272\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"245\\\" cy=\\\"310\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"264\\\" cy=\\\"219\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"264\\\" cy=\\\"225\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"254\\\" cy=\\\"219\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"254\\\" cy=\\\"225\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"259\\\" cy=\\\"219\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"264\\\" cy=\\\"301\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"264\\\" cy=\\\"294\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"254\\\" cy=\\\"294\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"259\\\" cy=\\\"301\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"254\\\" cy=\\\"299\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"269\\\" cy=\\\"219\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"264\\\" cy=\\\"214\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"290\\\" cy=\\\"232\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"297\\\" cy=\\\"275\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"292\\\" cy=\\\"284\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"306\\\" cy=\\\"269\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"299\\\" cy=\\\"283\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"300\\\" cy=\\\"250\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"298\\\" cy=\\\"246\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"307\\\" cy=\\\"257\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"304\\\" cy=\\\"245\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"276\\\" cy=\\\"308\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"269\\\" cy=\\\"301\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"264\\\" cy=\\\"309\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"289\\\" cy=\\\"299\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"278\\\" cy=\\\"315\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"227\\\" cy=\\\"284\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"222\\\" cy=\\\"275\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"220\\\" cy=\\\"282\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"244\\\" cy=\\\"299\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"245\\\" cy=\\\"304\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"249\\\" cy=\\\"299\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"212\\\" cy=\\\"269\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"217\\\" cy=\\\"252\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"220\\\" cy=\\\"247\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"209\\\" cy=\\\"259\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"213\\\" cy=\\\"248\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"249\\\" cy=\\\"219\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"248\\\" cy=\\\"205\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"254\\\" cy=\\\"214\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"228\\\" cy=\\\"229\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"217\\\" cy=\\\"228\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"214\\\" cy=\\\"238\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"250\\\" cy=\\\"312\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"254\\\" cy=\\\"307\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"299\\\" cy=\\\"235\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"305\\\" cy=\\\"235\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"594\\\" cy=\\\"545\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"602\\\" cy=\\\"549\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"608\\\" cy=\\\"545\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"596\\\" cy=\\\"537\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"629\\\" cy=\\\"579\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"625\\\" cy=\\\"587\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"624\\\" cy=\\\"575\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"617\\\" cy=\\\"584\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"617\\\" cy=\\\"575\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"621\\\" cy=\\\"571\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"598\\\" cy=\\\"620\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"605\\\" cy=\\\"617\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"602\\\" cy=\\\"610\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"594\\\" cy=\\\"614\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"608\\\" cy=\\\"613\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"554\\\" cy=\\\"606\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"552\\\" cy=\\\"613\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"552\\\" cy=\\\"619\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"564\\\" cy=\\\"614\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"563\\\" cy=\\\"621\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"544\\\" cy=\\\"588\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"535\\\" cy=\\\"573\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"537\\\" cy=\\\"587\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"532\\\" cy=\\\"580\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"542\\\" cy=\\\"575\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"550\\\" cy=\\\"547\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"564\\\" cy=\\\"545\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"557\\\" cy=\\\"549\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"564\\\" cy=\\\"537\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"586\\\" cy=\\\"518\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"636\\\" cy=\\\"601\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"527\\\" cy=\\\"559\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"532\\\" cy=\\\"550\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"520\\\" cy=\\\"559\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"638\\\" cy=\\\"569\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"631\\\" cy=\\\"561\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"563\\\" cy=\\\"641\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"569\\\" cy=\\\"520\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"583\\\" cy=\\\"639\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"589\\\" cy=\\\"632\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"619\\\" cy=\\\"618\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"620\\\" cy=\\\"596\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"612\\\" cy=\\\"593\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"607\\\" cy=\\\"601\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"617\\\" cy=\\\"600\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"613\\\" cy=\\\"604\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"584\\\" cy=\\\"545\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"574\\\" cy=\\\"545\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"580\\\" cy=\\\"535\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"574\\\" cy=\\\"537\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"586\\\" cy=\\\"537\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"607\\\" cy=\\\"558\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"612\\\" cy=\\\"567\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"613\\\" cy=\\\"554\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"616\\\" cy=\\\"562\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"584\\\" cy=\\\"614\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"574\\\" cy=\\\"614\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"576\\\" cy=\\\"627\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"573\\\" cy=\\\"621\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"583\\\" cy=\\\"620\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"540\\\" cy=\\\"564\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"547\\\" cy=\\\"567\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"545\\\" cy=\\\"555\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"552\\\" cy=\\\"558\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"543\\\" cy=\\\"560\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"591\\\" cy=\\\"537\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"610\\\" cy=\\\"550\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"635\\\" cy=\\\"586\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"634\\\" cy=\\\"574\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"622\\\" cy=\\\"591\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"640\\\" cy=\\\"593\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"628\\\" cy=\\\"598\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"626\\\" cy=\\\"566\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"619\\\" cy=\\\"566\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"603\\\" cy=\\\"623\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"593\\\" cy=\\\"620\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"591\\\" cy=\\\"626\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"613\\\" cy=\\\"615\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"610\\\" cy=\\\"608\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"588\\\" cy=\\\"620\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"547\\\" cy=\\\"604\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"542\\\" cy=\\\"595\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"540\\\" cy=\\\"603\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"568\\\" cy=\\\"621\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"528\\\" cy=\\\"573\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"538\\\" cy=\\\"568\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"534\\\" cy=\\\"561\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"530\\\" cy=\\\"587\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"548\\\" cy=\\\"551\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"539\\\" cy=\\\"553\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"569\\\" cy=\\\"537\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"512\\\" cy=\\\"560\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"575\\\" cy=\\\"528\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"586\\\" cy=\\\"528\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"624\\\" cy=\\\"614\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"621\\\" cy=\\\"607\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"627\\\" cy=\\\"553\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"620\\\" cy=\\\"554\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"570\\\" cy=\\\"634\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"580\\\" cy=\\\"633\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"284\\\" cy=\\\"554\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"286\\\" cy=\\\"538\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"274\\\" cy=\\\"539\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"287\\\" cy=\\\"547\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"274\\\" cy=\\\"545\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"294\\\" cy=\\\"571\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"302\\\" cy=\\\"573\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"305\\\" cy=\\\"580\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"297\\\" cy=\\\"584\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"302\\\" cy=\\\"586\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"287\\\" cy=\\\"617\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"274\\\" cy=\\\"614\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"278\\\" cy=\\\"621\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"282\\\" cy=\\\"610\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"287\\\" cy=\\\"612\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"286\\\" cy=\\\"624\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"273\\\" cy=\\\"621\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"231\\\" cy=\\\"616\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"244\\\" cy=\\\"614\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"237\\\" cy=\\\"610\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"231\\\" cy=\\\"622\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"244\\\" cy=\\\"620\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"215\\\" cy=\\\"575\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"213\\\" cy=\\\"581\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"222\\\" cy=\\\"584\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"222\\\" cy=\\\"575\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"216\\\" cy=\\\"585\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"237\\\" cy=\\\"549\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"244\\\" cy=\\\"545\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"229\\\" cy=\\\"548\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"244\\\" cy=\\\"540\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"303\\\" cy=\\\"618\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"302\\\" cy=\\\"630\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"264\\\" cy=\\\"526\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"216\\\" cy=\\\"619\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"216\\\" cy=\\\"625\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"264\\\" cy=\\\"614\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"254\\\" cy=\\\"614\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"263\\\" cy=\\\"621\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"254\\\" cy=\\\"620\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"285\\\" cy=\\\"637\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"272\\\" cy=\\\"634\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"267\\\" cy=\\\"640\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"292\\\" cy=\\\"593\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"287\\\" cy=\\\"601\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"292\\\" cy=\\\"603\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"295\\\" cy=\\\"599\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"209\\\" cy=\\\"562\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"309\\\" cy=\\\"597\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"304\\\" cy=\\\"606\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"199\\\" cy=\\\"593\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"205\\\" cy=\\\"587\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"226\\\" cy=\\\"607\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"232\\\" cy=\\\"601\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"227\\\" cy=\\\"593\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"224\\\" cy=\\\"603\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"221\\\" cy=\\\"594\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"227\\\" cy=\\\"567\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"232\\\" cy=\\\"558\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"224\\\" cy=\\\"556\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"222\\\" cy=\\\"562\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"264\\\" cy=\\\"539\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"264\\\" cy=\\\"545\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"254\\\" cy=\\\"545\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"259\\\" cy=\\\"539\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"254\\\" cy=\\\"540\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"292\\\" cy=\\\"555\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"297\\\" cy=\\\"564\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"269\\\" cy=\\\"539\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"264\\\" cy=\\\"532\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"299\\\" cy=\\\"557\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"308\\\" cy=\\\"573\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"309\\\" cy=\\\"586\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"315\\\" cy=\\\"586\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"300\\\" cy=\\\"590\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"297\\\" cy=\\\"594\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"303\\\" cy=\\\"596\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"295\\\" cy=\\\"615\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"294\\\" cy=\\\"627\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"268\\\" cy=\\\"621\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"285\\\" cy=\\\"630\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"272\\\" cy=\\\"627\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"290\\\" cy=\\\"607\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"298\\\" cy=\\\"604\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"229\\\" cy=\\\"612\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"221\\\" cy=\\\"613\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"249\\\" cy=\\\"620\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"209\\\" cy=\\\"576\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"217\\\" cy=\\\"571\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"213\\\" cy=\\\"566\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"204\\\" cy=\\\"577\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"210\\\" cy=\\\"586\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"218\\\" cy=\\\"589\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"220\\\" cy=\\\"567\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"226\\\" cy=\\\"552\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"249\\\" cy=\\\"540\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"254\\\" cy=\\\"527\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"254\\\" cy=\\\"533\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"210\\\" cy=\\\"556\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"217\\\" cy=\\\"556\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"216\\\" cy=\\\"600\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"<circle cx=\\\"258\\\" cy=\\\"627\\\" r=\\\"2\\\" stroke=\\\"black\\\" stroke-width=\\\"0\\\" fill=\\\"red\\\" />\\n\",\n       \"    </svg>\\n\",\n       \"    \"\n      ],\n      \"text/html\": [\n       \"<!DOCTYPE html>\\n\",\n       \"<html>\\n\",\n       \"  <head>\\n\",\n       \"    <meta http-equiv=\\\"content-type\\\" content=\\\"text/html;charset=UTF-8\\\" />\\n\",\n       \"    <meta name=\\\"generator\\\" content=\\\"FEniCS/DOLFIN (http://fenicsproject.org)\\\" />\\n\",\n       \"    <title>FEniCS/DOLFIN X3DOM plot</title>\\n\",\n       \"    <script type=\\\"text/javascript\\\" src=\\\"https://www.x3dom.org/download/x3dom.js\\\"></script>\\n\",\n       \"    <script type=\\\"text/javascript\\\" src=\\\"https://code.jquery.com/jquery-3.1.0.js\\\"></script>\\n\",\n       \"    <script type=\\\"text/javascript\\\" src=\\\"https://rawgit.com/plscott/fenics-x3dom/master/x3dom_support.js\\\"></script>\\n\",\n       \"    <link rel=\\\"stylesheet\\\" type=\\\"text/css\\\" href=\\\"https://www.x3dom.org/download/x3dom.css\\\" />\\n\",\n       \"    <link rel=\\\"stylesheet\\\" type=\\\"text/css\\\" href=\\\"https://rawgit.com/plscott/fenics-x3dom/master/x3dom_support.css\\\" />\\n\",\n       \"  </head>\\n\",\n       \"  <body>\\n\",\n       \"    <x3d showStat=\\\"false\\\" xmlns=\\\"http://www.web3d.org/specifications/x3d-namespace\\\" width=\\\"500.000000px\\\" height=\\\"400.000000px\\\">\\n\",\n       \"      <scene>\\n\",\n       \"        <shape>\\n\",\n       \"          <appearance>\\n\",\n       \"            <material diffuseColor=\\\"1.000000 1.000000 1.000000\\\" emissiveColor=\\\"0.000000 0.000000 0.000000\\\" specularColor=\\\"0.000000 0.000000 0.000000\\\" ambientIntensity=\\\"0\\\" shininess=\\\"0.5\\\" transparency=\\\"0\\\"></material>\\n\",\n       \"          </appearance>\\n\",\n       \"          <indexedFaceSet solid=\\\"false\\\" colorPerVertex=\\\"false\\\" coordIndex=\\\"259 1225 465 -1 134 1225 465 -1 82 1296 445 -1 82 1296 325 -1 234 1223 465 -1 134 1223 465 -1 705 1166 1132 -1 441 1166 1132 -1 222 1132 705 -1 196 616 354 -1 170 384 250 -1 445 1277 1240 -1 163 1240 1237 -1 244 1277 1237 -1 1237 1277 1240 -1 158 692 399 -1 324 582 421 -1 342 1241 1238 -1 163 1241 1238 -1 342 1301 1241 -1 498 1301 1241 -1 418 1161 1121 -1 193 1121 1120 -1 417 1161 1120 -1 1120 1161 1121 -1 208 747 561 -1 103 563 317 -1 529 1174 1124 -1 201 1124 1123 -1 476 1174 1123 -1 1123 1174 1124 -1 409 716 480 -1 360 1122 1118 -1 193 1122 1118 -1 360 1159 1122 -1 538 1159 1122 -1 21 263 22 -1 149 750 680 -1 173 640 356 -1 187 395 255 -1 231 560 467 -1 173 373 231 -1 456 1102 515 -1 515 1103 1102 -1 164 1103 1102 -1 235 477 379 -1 35 395 318 -1 115 709 402 -1 166 450 402 -1 188 641 292 -1 188 357 355 -1 462 836 834 -1 181 836 834 -1 462 836 584 -1 215 491 411 -1 131 507 386 -1 386 606 507 -1 38 746 613 -1 162 524 444 -1 151 509 369 -1 619 880 848 -1 232 848 845 -1 364 880 845 -1 845 880 848 -1 388 681 541 -1 174 370 369 -1 118 623 411 -1 55 277 56 -1 276 549 347 -1 194 675 340 -1 348 1505 921 -1 348 1505 916 -1 916 1502 1446 -1 98 1446 1445 -1 915 1502 1445 -1 1445 1502 1446 -1 921 1503 1452 -1 99 1452 1450 -1 915 1503 1450 -1 1450 1503 1452 -1 915 1503 1502 -1 916 1505 1502 -1 921 1505 1503 -1 1502 1505 1503 -1 197 665 472 -1 381 967 965 -1 176 967 965 -1 381 967 420 -1 217 562 304 -1 377 1025 958 -1 426 1025 959 -1 165 959 958 -1 958 1025 959 -1 180 457 304 -1 141 428 286 -1 112 506 407 -1 169 429 407 -1 166 556 299 -1 215 559 437 -1 117 568 300 -1 380 1142 1093 -1 147 1093 1090 -1 267 1142 1090 -1 1090 1142 1093 -1 280 1606 1134 -1 280 1606 1566 -1 1060 1606 1566 -1 1060 1603 1541 -1 64 1541 1540 -1 1059 1603 1540 -1 1540 1603 1541 -1 251 1134 1059 -1 1059 1606 1134 -1 1059 1606 1603 -1 1060 1606 1603 -1 283 700 519 -1 396 1122 1119 -1 193 1122 1119 -1 396 1160 1122 -1 538 1160 1122 -1 156 739 312 -1 128 660 372 -1 135 661 548 -1 207 510 452 -1 140 645 328 -1 209 611 575 -1 668 874 838 -1 316 874 838 -1 668 841 838 -1 211 841 838 -1 118 938 427 -1 427 1035 938 -1 683 1035 938 -1 129 653 266 -1 207 489 331 -1 222 1163 510 -1 222 1163 1132 -1 441 1163 1132 -1 240 602 601 -1 122 1335 673 -1 122 1335 616 -1 423 1154 1147 -1 273 1147 1146 -1 310 1154 1146 -1 1146 1154 1147 -1 1205 1718 1680 -1 1206 1718 1681 -1 546 1681 1680 -1 1680 1718 1681 -1 1205 1650 1649 -1 93 1650 1649 -1 1205 1718 1650 -1 1206 1718 1650 -1 1327 1719 1682 -1 546 1682 1681 -1 1206 1719 1681 -1 1681 1719 1682 -1 1327 1719 1685 -1 1206 1719 1685 -1 589 1685 1327 -1 7 590 8 -1 1300 1705 1697 -1 1194 1705 1697 -1 1300 1700 1697 -1 764 1700 1697 -1 1300 1705 1669 -1 1194 1705 1669 -1 329 1669 1300 -1 1197 1704 1697 -1 1194 1704 1697 -1 1197 1698 1697 -1 764 1698 1697 -1 1197 1704 1638 -1 1194 1704 1638 -1 1197 1640 1638 -1 91 1640 1638 -1 105 516 504 -1 430 725 656 -1 1217 1665 1663 -1 96 1665 1663 -1 1217 1730 1665 -1 1308 1730 1665 -1 1217 1695 1694 -1 749 1695 1694 -1 1217 1730 1695 -1 1308 1730 1695 -1 96 1665 1215 -1 1215 1665 1308 -1 345 1308 1215 -1 707 1040 998 -1 265 998 996 -1 469 1040 996 -1 996 1040 998 -1 156 539 391 -1 241 671 389 -1 50 695 557 -1 186 533 358 -1 230 759 388 -1 751 902 802 -1 479 902 802 -1 121 802 751 -1 727 888 827 -1 382 888 827 -1 727 832 827 -1 178 832 827 -1 260 812 444 -1 162 812 444 -1 213 604 590 -1 501 1280 618 -1 618 1283 1280 -1 257 1283 1280 -1 158 344 343 -1 401 1271 670 -1 670 1274 1271 -1 239 1274 1271 -1 180 1318 404 -1 180 1318 403 -1 112 502 278 -1 286 611 575 -1 133 941 391 -1 391 941 748 -1 233 800 335 -1 335 801 800 -1 121 801 800 -1 138 298 247 -1 381 977 665 -1 197 977 665 -1 153 361 347 -1 194 578 321 -1 647 1036 992 -1 206 992 990 -1 449 1036 990 -1 990 1036 992 -1 53 517 312 -1 221 582 421 -1 196 563 317 -1 191 359 293 -1 247 490 298 -1 168 322 305 -1 183 503 502 -1 190 1190 567 -1 190 1190 1116 -1 566 1190 1116 -1 128 666 443 -1 229 1133 529 -1 529 1180 1133 -1 596 1180 1133 -1 107 470 332 -1 129 653 370 -1 151 698 330 -1 173 440 231 -1 170 356 279 -1 544 1017 942 -1 341 1017 942 -1 138 942 544 -1 156 517 312 -1 259 1285 1225 -1 134 1225 1224 -1 258 1285 1224 -1 1224 1285 1225 -1 11 412 234 -1 169 725 430 -1 243 1219 302 -1 302 1220 1219 -1 112 1220 1219 -1 246 1041 736 -1 246 1041 469 -1 153 362 361 -1 167 606 385 -1 75 655 424 -1 381 1005 977 -1 197 977 976 -1 284 1005 976 -1 976 1005 977 -1 116 562 457 -1 222 705 494 -1 300 1191 568 -1 300 1191 567 -1 544 1017 972 -1 185 972 970 -1 341 1017 970 -1 970 1017 972 -1 215 623 411 -1 144 744 682 -1 119 679 421 -1 183 504 503 -1 148 576 278 -1 174 733 369 -1 192 540 414 -1 150 344 343 -1 317 573 432 -1 123 601 471 -1 235 735 379 -1 191 508 397 -1 241 672 558 -1 141 611 286 -1 503 591 504 -1 702 1313 1279 -1 352 1313 1279 -1 702 1284 1279 -1 257 1284 1279 -1 136 604 528 -1 152 1000 311 -1 152 1000 943 -1 277 1000 943 -1 250 666 443 -1 225 660 595 -1 200 554 473 -1 151 370 369 -1 315 629 585 -1 1059 1570 1135 -1 455 1570 1135 -1 251 1135 1059 -1 1061 1604 1570 -1 1059 1604 1570 -1 455 1570 1061 -1 1061 1604 1540 -1 1059 1604 1540 -1 1061 1542 1540 -1 64 1542 1540 -1 462 894 865 -1 270 865 863 -1 405 894 863 -1 863 894 865 -1 507 820 606 -1 167 820 606 -1 212 629 315 -1 212 630 467 -1 127 549 347 -1 391 948 748 -1 748 951 948 -1 157 951 948 -1 8 590 287 -1 8 392 287 -1 225 661 367 -1 135 741 439 -1 257 1283 1282 -1 600 1334 1282 -1 618 1334 1283 -1 1282 1334 1283 -1 136 670 604 -1 238 1333 1269 -1 674 1333 1269 -1 238 1333 1267 -1 589 1333 1267 -1 150 432 295 -1 223 358 298 -1 223 694 485 -1 453 853 816 -1 254 853 816 -1 453 819 816 -1 167 819 816 -1 453 864 819 -1 167 819 817 -1 270 864 817 -1 817 864 819 -1 46 383 293 -1 191 508 293 -1 286 428 351 -1 184 428 351 -1 314 868 809 -1 142 809 808 -1 313 868 808 -1 808 868 809 -1 108 733 369 -1 172 519 283 -1 107 518 365 -1 365 594 518 -1 175 744 334 -1 224 526 319 -1 117 626 300 -1 219 505 410 -1 146 689 472 -1 380 1142 1086 -1 130 1086 1084 -1 267 1142 1084 -1 1084 1142 1086 -1 24 315 25 -1 583 1305 1232 -1 345 1305 1232 -1 583 1234 1232 -1 148 1234 1232 -1 149 594 307 -1 150 527 344 -1 150 527 261 -1 151 653 370 -1 108 414 327 -1 226 724 378 -1 152 1015 945 -1 378 1015 945 -1 152 1015 311 -1 276 721 549 -1 153 663 362 -1 45 495 383 -1 45 496 495 -1 35 318 36 -1 36 318 308 -1 368 691 435 -1 156 517 281 -1 374 1527 1002 -1 374 1527 1472 -1 934 1527 1472 -1 933 1465 934 -1 934 1466 1465 -1 102 1466 1465 -1 282 1002 933 -1 933 1527 1002 -1 933 1527 934 -1 748 1004 939 -1 282 1004 939 -1 748 941 939 -1 133 941 939 -1 236 693 692 -1 227 433 390 -1 227 691 368 -1 643 1020 987 -1 205 987 985 -1 348 1020 985 -1 985 1020 987 -1 264 952 484 -1 160 952 484 -1 273 1109 493 -1 179 1109 493 -1 78 493 273 -1 382 1421 886 -1 382 1421 1374 -1 783 1421 1374 -1 525 886 784 -1 783 1357 1356 -1 72 1357 1356 -1 783 1357 784 -1 783 1421 784 -1 784 1421 886 -1 889 1422 1387 -1 783 1422 1387 -1 889 1389 1387 -1 761 1389 1387 -1 889 1422 1374 -1 783 1422 1374 -1 382 1374 889 -1 786 1420 1387 -1 783 1420 1387 -1 786 1388 1387 -1 761 1388 1387 -1 786 1420 1356 -1 783 1420 1356 -1 786 1359 1356 -1 72 1359 1356 -1 354 1335 1314 -1 673 1335 1314 -1 354 1335 616 -1 237 1236 446 -1 163 1236 446 -1 1057 1539 1536 -1 63 1539 1536 -1 1057 1601 1539 -1 1187 1601 1539 -1 1057 1586 1582 -1 644 1586 1582 -1 1057 1601 1586 -1 1187 1601 1586 -1 63 1539 1056 -1 1056 1539 1187 -1 537 1187 1056 -1 454 1168 1055 -1 537 1168 1056 -1 63 1056 1055 -1 1055 1168 1056 -1 469 1026 961 -1 165 961 958 -1 377 1026 958 -1 958 1026 961 -1 165 962 461 -1 461 962 740 -1 316 709 637 -1 203 450 402 -1 288 851 818 -1 167 818 816 -1 254 851 816 -1 816 851 818 -1 167 718 385 -1 62 322 248 -1 125 612 413 -1 184 677 592 -1 184 592 351 -1 28 685 373 -1 173 685 373 -1 201 1180 1126 -1 596 1180 1126 -1 201 1180 1124 -1 529 1180 1124 -1 229 1133 366 -1 366 1133 596 -1 18 283 19 -1 172 716 480 -1 173 356 279 -1 109 640 356 -1 393 862 858 -1 268 862 858 -1 393 892 862 -1 734 892 862 -1 313 868 821 -1 314 868 822 -1 174 822 821 -1 821 868 822 -1 103 379 261 -1 175 477 379 -1 320 984 642 -1 205 984 642 -1 205 986 985 -1 348 1019 985 -1 415 1019 986 -1 985 1019 986 -1 244 1277 1275 -1 325 1296 1275 -1 445 1296 1277 -1 1275 1296 1277 -1 325 1275 1243 -1 177 1243 1242 -1 244 1275 1242 -1 1242 1275 1243 -1 90 799 260 -1 260 856 799 -1 424 856 799 -1 525 886 830 -1 178 830 827 -1 382 886 827 -1 827 886 830 -1 423 1147 1110 -1 179 1110 1109 -1 273 1147 1109 -1 1109 1147 1110 -1 180 514 457 -1 304 562 457 -1 181 837 835 -1 488 904 835 -1 667 904 837 -1 835 904 837 -1 268 904 861 -1 667 904 861 -1 268 904 859 -1 488 904 859 -1 158 399 343 -1 111 399 343 -1 195 576 278 -1 183 516 504 -1 407 677 506 -1 184 677 506 -1 400 1022 911 -1 910 1441 911 -1 97 1441 911 -1 910 1471 1022 -1 374 1471 1022 -1 910 1022 911 -1 159 671 532 -1 110 433 390 -1 262 318 308 -1 187 478 292 -1 605 867 803 -1 288 867 803 -1 605 807 803 -1 139 807 803 -1 106 732 450 -1 234 1223 499 -1 499 1226 1223 -1 134 1226 1223 -1 189 1328 565 -1 189 1328 1251 -1 564 1328 1251 -1 290 1099 566 -1 566 1104 1099 -1 164 1104 1099 -1 117 1163 510 -1 117 1163 441 -1 48 397 275 -1 124 672 530 -1 192 681 541 -1 104 694 301 -1 67 1559 1557 -1 1073 1620 1557 -1 1075 1620 1559 -1 1557 1620 1559 -1 1073 1569 1567 -1 310 1569 1567 -1 1073 1569 1153 -1 418 1153 1075 -1 1075 1620 1153 -1 1073 1620 1153 -1 119 536 417 -1 113 662 362 -1 194 505 410 -1 105 516 513 -1 120 512 304 -1 220 421 324 -1 220 678 574 -1 381 1005 965 -1 176 965 963 -1 284 1005 963 -1 963 1005 965 -1 197 979 978 -1 426 1033 978 -1 460 1033 979 -1 978 1033 979 -1 198 1295 569 -1 198 1295 1252 -1 302 1295 1252 -1 94 1657 1209 -1 1209 1657 1325 -1 600 1325 1209 -1 1208 1657 1654 -1 94 1657 1654 -1 1208 1722 1657 -1 1325 1722 1657 -1 1208 1675 1673 -1 521 1675 1673 -1 1208 1722 1675 -1 1325 1722 1675 -1 22 274 263 -1 23 608 274 -1 40 554 553 -1 129 338 266 -1 1066 1550 1548 -1 65 1550 1548 -1 1066 1614 1550 -1 1188 1614 1550 -1 1066 1581 1579 -1 622 1581 1579 -1 1066 1614 1581 -1 1188 1614 1581 -1 1065 1550 1547 -1 65 1550 1547 -1 1065 1613 1550 -1 1188 1613 1550 -1 545 1576 1065 -1 1065 1613 1576 -1 1188 1613 1576 -1 104 490 298 -1 202 491 411 -1 355 732 547 -1 203 637 355 -1 297 664 603 -1 374 1022 947 -1 400 1022 950 -1 157 950 947 -1 947 1022 950 -1 720 1032 968 -1 176 968 966 -1 415 1032 966 -1 966 1032 968 -1 720 1032 986 -1 415 1032 986 -1 720 988 986 -1 205 988 986 -1 127 449 378 -1 222 510 452 -1 207 738 452 -1 16 635 602 -1 208 602 601 -1 0 631 610 -1 248 612 610 -1 250 666 581 -1 210 686 372 -1 669 887 842 -1 211 842 840 -1 382 887 840 -1 840 887 842 -1 254 1409 778 -1 254 1409 774 -1 774 1406 1347 -1 70 1347 1346 -1 773 1406 1346 -1 1346 1406 1347 -1 778 1407 1352 -1 71 1352 1351 -1 773 1407 1351 -1 1351 1407 1352 -1 773 1407 1406 -1 774 1409 1406 -1 778 1409 1407 -1 1406 1409 1407 -1 132 1157 560 -1 132 1157 1088 -1 349 1157 1088 -1 5 656 430 -1 6 726 712 -1 214 499 408 -1 234 499 408 -1 87 484 320 -1 118 623 264 -1 84 717 486 -1 85 717 486 -1 194 505 340 -1 217 431 303 -1 423 1154 1078 -1 1077 1561 1078 -1 68 1561 1078 -1 1077 1568 1154 -1 310 1568 1154 -1 1077 1154 1078 -1 105 505 340 -1 125 756 410 -1 334 682 574 -1 220 679 421 -1 79 617 422 -1 221 599 421 -1 76 452 451 -1 124 530 328 -1 301 694 485 -1 367 661 548 -1 225 595 367 -1 256 686 439 -1 225 439 372 -1 378 1015 724 -1 311 1015 724 -1 226 721 549 -1 52 755 368 -1 52 755 312 -1 120 1221 403 -1 403 1221 468 -1 120 403 304 -1 107 475 332 -1 149 594 365 -1 233 800 559 -1 121 800 559 -1 619 871 809 -1 314 871 809 -1 619 811 809 -1 142 811 809 -1 27 636 231 -1 751 902 850 -1 232 850 847 -1 479 902 847 -1 847 902 850 -1 162 876 524 -1 162 876 813 -1 335 876 813 -1 89 437 436 -1 10 408 234 -1 10 234 11 -1 123 684 601 -1 235 477 474 -1 13 693 337 -1 236 692 399 -1 81 448 438 -1 376 1316 1239 -1 498 1316 1241 -1 163 1241 1239 -1 1239 1316 1241 -1 498 1301 1266 -1 238 1266 1264 -1 342 1301 1264 -1 1264 1301 1266 -1 571 1304 1255 -1 198 1255 1253 -1 345 1304 1253 -1 1253 1304 1255 -1 126 569 429 -1 14 326 15 -1 15 326 240 -1 48 558 275 -1 275 672 558 -1 242 588 398 -1 126 588 429 -1 323 677 592 -1 243 569 429 -1 376 1276 1239 -1 163 1239 1237 -1 244 1276 1237 -1 1237 1276 1239 -1 290 1089 319 -1 145 1089 319 -1 456 1139 1083 -1 252 1139 1083 -1 109 1083 456 -1 153 347 276 -1 246 737 461 -1 138 942 247 -1 247 942 341 -1 247 587 490 -1 113 362 361 -1 168 413 321 -1 43 330 44 -1 330 698 697 -1 170 443 250 -1 250 581 384 -1 212 560 467 -1 551 1150 1134 -1 280 1150 1134 -1 551 1137 1134 -1 251 1137 1134 -1 456 1139 515 -1 515 1140 1139 -1 252 1140 1139 -1 132 676 440 -1 417 1161 1097 -1 418 1161 1098 -1 161 1098 1097 -1 1097 1161 1098 -1 78 422 79 -1 353 1416 852 -1 353 1416 779 -1 779 1414 1353 -1 71 1353 1352 -1 778 1414 1352 -1 1352 1414 1353 -1 254 852 778 -1 778 1416 852 -1 778 1416 1414 -1 779 1416 1414 -1 605 867 851 -1 288 867 851 -1 605 854 851 -1 254 854 851 -1 256 741 598 -1 256 654 598 -1 33 654 598 -1 1204 1652 1648 -1 93 1652 1648 -1 1204 1717 1652 -1 1324 1717 1652 -1 522 1677 1204 -1 1204 1717 1677 -1 1324 1717 1677 -1 1203 1652 1647 -1 93 1652 1647 -1 1203 1715 1652 -1 1324 1715 1652 -1 1203 1674 1672 -1 521 1674 1672 -1 1203 1715 1674 -1 1324 1715 1674 -1 258 1288 1287 -1 600 1334 1287 -1 618 1334 1288 -1 1287 1334 1288 -1 259 1285 1248 -1 189 1248 1247 -1 258 1285 1247 -1 1247 1285 1248 -1 182 465 464 -1 111 464 259 -1 375 855 814 -1 162 814 812 -1 260 855 812 -1 812 855 814 -1 90 444 260 -1 261 735 379 -1 150 432 317 -1 155 308 262 -1 114 718 385 -1 130 607 458 -1 263 458 274 -1 427 1009 955 -1 160 955 953 -1 294 1009 953 -1 953 1009 955 -1 320 954 484 -1 160 954 484 -1 707 1040 1027 -1 377 1027 1026 -1 469 1040 1026 -1 1026 1040 1027 -1 206 1037 994 -1 649 1037 994 -1 206 1037 990 -1 449 1037 990 -1 42 586 550 -1 596 1145 1084 -1 267 1145 1084 -1 596 1087 1084 -1 130 1087 1084 -1 366 1085 596 -1 596 1087 1085 -1 130 1087 1085 -1 462 894 834 -1 181 834 833 -1 405 894 833 -1 833 894 834 -1 535 905 860 -1 734 905 862 -1 268 862 860 -1 860 905 862 -1 115 489 402 -1 425 829 727 -1 727 832 829 -1 178 832 829 -1 405 1405 776 -1 405 1405 770 -1 770 1401 1342 -1 69 1342 1340 -1 768 1401 1340 -1 1340 1401 1342 -1 776 1402 1349 -1 70 1349 1345 -1 768 1402 1345 -1 1345 1402 1349 -1 768 1402 1401 -1 770 1405 1401 -1 776 1405 1402 -1 1401 1405 1402 -1 270 1412 863 -1 270 1412 775 -1 405 863 776 -1 775 1410 1348 -1 776 1410 1349 -1 70 1349 1348 -1 1348 1410 1349 -1 776 1412 1410 -1 775 1412 1410 -1 776 1412 863 -1 271 520 371 -1 131 899 507 -1 131 899 462 -1 272 520 371 -1 272 703 554 -1 78 422 273 -1 273 1095 422 -1 161 1095 422 -1 22 274 23 -1 199 608 607 -1 275 672 530 -1 191 530 328 -1 59 723 597 -1 153 597 419 -1 133 940 939 -1 282 1001 939 -1 309 1001 940 -1 939 1001 940 -1 112 1220 278 -1 278 1289 1220 -1 302 1289 1220 -1 148 1289 1231 -1 302 1289 1231 -1 148 1289 278 -1 28 279 29 -1 170 577 384 -1 545 1144 1090 -1 267 1144 1090 -1 545 1094 1090 -1 147 1094 1090 -1 545 1149 1091 -1 280 1149 1091 -1 545 1094 1091 -1 147 1094 1091 -1 54 628 627 -1 156 742 281 -1 482 1013 1001 -1 309 1013 1001 -1 482 1003 1001 -1 282 1003 1001 -1 482 1003 933 -1 282 1003 933 -1 482 935 933 -1 933 1465 935 -1 102 1465 935 -1 172 519 289 -1 143 519 289 -1 99 1453 1452 -1 921 1513 1452 -1 922 1513 1453 -1 1452 1513 1453 -1 348 1019 921 -1 415 1019 922 -1 922 1513 1019 -1 921 1513 1019 -1 17 561 285 -1 18 701 700 -1 1 575 286 -1 1 286 2 -1 287 604 528 -1 287 528 392 -1 188 547 355 -1 288 818 718 -1 167 818 718 -1 107 470 289 -1 175 470 332 -1 245 620 319 -1 290 620 319 -1 183 502 278 -1 141 503 291 -1 187 492 255 -1 187 492 292 -1 154 359 293 -1 154 383 293 -1 917 1506 1447 -1 918 1506 1448 -1 98 1448 1447 -1 1447 1506 1448 -1 917 1507 1475 -1 1044 1507 1477 -1 542 1477 1475 -1 1475 1507 1477 -1 625 1478 918 -1 918 1509 1478 -1 1044 1509 1478 -1 1044 1509 1507 -1 917 1507 1506 -1 918 1509 1506 -1 1506 1509 1507 -1 643 957 956 -1 160 957 956 -1 643 1051 957 -1 696 1051 957 -1 564 1292 1249 -1 296 1292 1249 -1 564 1251 1249 -1 189 1251 1249 -1 111 565 295 -1 522 1286 1247 -1 258 1286 1247 -1 522 1250 1247 -1 189 1250 1247 -1 296 1294 1292 -1 564 1329 1292 -1 674 1329 1294 -1 1292 1329 1294 -1 394 981 664 -1 204 981 664 -1 138 603 544 -1 138 358 297 -1 138 358 298 -1 224 659 319 -1 106 658 299 -1 190 1191 1117 -1 568 1191 1117 -1 190 1191 567 -1 145 567 300 -1 192 541 500 -1 140 500 301 -1 243 1295 569 -1 243 1295 302 -1 583 1305 1253 -1 345 1305 1253 -1 583 1256 1253 -1 198 1256 1253 -1 303 665 472 -1 303 689 472 -1 217 512 304 -1 180 403 304 -1 60 419 305 -1 60 305 61 -1 85 306 86 -1 21 593 511 -1 149 511 307 -1 155 387 271 -1 55 336 277 -1 277 487 336 -1 310 1146 1096 -1 161 1096 1095 -1 273 1146 1095 -1 1095 1146 1096 -1 310 1627 1569 -1 1153 1627 1569 -1 310 1627 1096 -1 418 1153 1098 -1 161 1098 1096 -1 1096 1627 1098 -1 1098 1627 1153 -1 56 1000 311 -1 56 1000 277 -1 56 311 57 -1 227 755 368 -1 52 312 53 -1 108 414 313 -1 192 414 327 -1 619 880 871 -1 314 871 870 -1 364 880 870 -1 870 880 871 -1 364 1433 870 -1 364 1433 1373 -1 793 1433 1373 -1 792 1367 793 -1 793 1368 1367 -1 74 1368 1367 -1 314 870 792 -1 792 1433 870 -1 792 1433 793 -1 315 609 585 -1 24 609 315 -1 203 709 402 -1 139 637 355 -1 150 317 261 -1 103 317 261 -1 187 318 262 -1 187 395 318 -1 245 526 319 -1 145 659 319 -1 86 642 320 -1 86 320 87 -1 248 612 413 -1 125 413 321 -1 61 322 305 -1 61 322 62 -1 3 592 351 -1 169 430 323 -1 122 582 324 -1 673 1314 1268 -1 238 1268 1265 -1 354 1314 1265 -1 1265 1314 1268 -1 82 325 83 -1 177 1318 404 -1 177 1318 1244 -1 403 1318 1244 -1 158 471 344 -1 13 337 14 -1 154 495 383 -1 140 645 359 -1 301 485 328 -1 140 328 301 -1 552 1298 1196 -1 1194 1638 1196 -1 91 1638 1196 -1 1194 1669 1298 -1 329 1669 1298 -1 1194 1298 1196 -1 177 1321 1246 -1 552 1321 1246 -1 177 1321 1245 -1 468 1321 1245 -1 151 497 330 -1 43 497 330 -1 117 626 331 -1 166 626 331 -1 171 652 475 -1 333 639 536 -1 119 536 333 -1 417 1120 536 -1 193 1120 536 -1 220 682 333 -1 103 574 334 -1 687 897 846 -1 447 897 846 -1 687 849 846 -1 232 849 846 -1 335 875 844 -1 447 875 846 -1 232 846 844 -1 844 875 846 -1 309 940 487 -1 133 940 487 -1 133 487 336 -1 14 337 326 -1 158 337 326 -1 488 900 651 -1 473 900 651 -1 41 579 550 -1 165 960 959 -1 426 1033 959 -1 460 1033 960 -1 959 1033 960 -1 113 461 339 -1 303 689 431 -1 340 689 431 -1 118 938 341 -1 341 1018 938 -1 683 1018 938 -1 683 1035 1011 -1 294 1011 1009 -1 427 1035 1009 -1 1009 1035 1011 -1 237 690 448 -1 237 1236 342 -1 342 1238 1236 -1 163 1238 1236 -1 150 343 295 -1 111 343 295 -1 240 601 471 -1 123 471 344 -1 730 1299 1258 -1 329 1299 1258 -1 730 1263 1258 -1 228 1263 1258 -1 346 1233 728 -1 728 1235 1233 -1 148 1235 1233 -1 346 1338 729 -1 346 1338 728 -1 120 729 346 -1 347 731 361 -1 246 737 731 -1 348 1051 1021 -1 696 1051 1021 -1 348 1051 1020 -1 643 1051 1020 -1 916 1486 1021 -1 696 1486 1021 -1 348 1021 916 -1 919 1504 1486 -1 916 1504 1486 -1 696 1486 919 -1 919 1504 1446 -1 916 1504 1446 -1 919 1449 1446 -1 98 1449 1446 -1 551 1156 1148 -1 349 1156 1148 -1 551 1150 1148 -1 280 1150 1148 -1 349 1148 1092 -1 147 1092 1091 -1 280 1148 1091 -1 1091 1148 1092 -1 219 756 410 -1 209 612 610 -1 2 351 286 -1 2 351 3 -1 239 1273 1272 -1 570 1330 1272 -1 621 1330 1273 -1 1272 1330 1273 -1 211 839 838 -1 316 873 838 -1 353 873 839 -1 838 873 839 -1 139 805 804 -1 316 873 804 -1 353 873 805 -1 804 873 805 -1 137 1329 674 -1 137 1329 564 -1 354 1230 573 -1 137 1230 573 -1 288 806 803 -1 139 806 803 -1 288 806 357 -1 139 806 355 -1 355 806 357 -1 170 638 356 -1 109 638 356 -1 188 641 357 -1 114 641 357 -1 186 483 389 -1 297 533 358 -1 154 459 359 -1 154 459 363 -1 360 1618 1074 -1 360 1618 1069 -1 1069 1616 1552 -1 66 1552 1551 -1 1068 1616 1551 -1 1551 1616 1552 -1 1074 1617 1558 -1 67 1558 1556 -1 1068 1617 1556 -1 1556 1617 1558 -1 1068 1617 1616 -1 1069 1618 1616 -1 1074 1618 1617 -1 1616 1618 1617 -1 321 662 578 -1 113 662 578 -1 168 663 305 -1 168 663 362 -1 108 459 327 -1 108 459 363 -1 687 1430 897 -1 687 1430 789 -1 789 1427 1363 -1 73 1363 1362 -1 788 1427 1362 -1 1362 1427 1363 -1 447 897 788 -1 788 1430 897 -1 788 1430 1427 -1 789 1430 1427 -1 229 750 366 -1 107 706 365 -1 366 1085 458 -1 130 1085 458 -1 274 607 458 -1 188 548 367 -1 106 732 547 -1 51 435 368 -1 51 368 52 -1 108 509 363 -1 108 509 369 -1 174 823 370 -1 370 823 535 -1 129 535 370 -1 38 746 371 -1 38 371 39 -1 225 660 372 -1 210 666 581 -1 27 373 231 -1 27 373 28 -1 204 982 981 -1 394 1029 981 -1 400 1029 982 -1 981 1029 982 -1 157 950 949 -1 394 1029 949 -1 400 1029 950 -1 949 1029 950 -1 447 875 815 -1 162 815 813 -1 335 875 813 -1 813 875 815 -1 376 1276 1195 -1 1193 1637 1195 -1 1195 1639 1637 -1 91 1639 1637 -1 244 1276 1193 -1 1193 1276 1195 -1 376 1706 1198 -1 376 1706 1195 -1 1195 1702 1639 -1 91 1639 1636 -1 1192 1702 1636 -1 1636 1702 1639 -1 1198 1703 1642 -1 92 1642 1641 -1 1192 1703 1641 -1 1641 1703 1642 -1 1192 1703 1702 -1 1195 1706 1702 -1 1198 1706 1703 -1 1702 1706 1703 -1 426 1025 926 -1 925 1456 926 -1 926 1457 1456 -1 100 1457 1456 -1 377 1025 925 -1 925 1025 926 -1 377 1517 929 -1 377 1517 925 -1 925 1515 1456 -1 100 1456 1455 -1 924 1515 1455 -1 1455 1515 1456 -1 929 1516 1461 -1 101 1461 1460 -1 924 1516 1460 -1 1460 1516 1461 -1 924 1516 1515 -1 925 1517 1515 -1 929 1517 1516 -1 1515 1517 1516 -1 647 1028 945 -1 378 1028 945 -1 152 945 647 -1 378 1028 449 -1 449 1036 1028 -1 647 1036 1028 -1 175 379 334 -1 103 379 334 -1 274 608 607 -1 147 629 585 -1 216 420 416 -1 176 967 416 -1 416 967 420 -1 260 896 857 -1 525 896 857 -1 260 896 856 -1 424 896 856 -1 178 896 830 -1 525 896 830 -1 178 896 828 -1 424 896 828 -1 45 383 46 -1 30 708 384 -1 114 385 262 -1 155 385 262 -1 155 386 271 -1 131 584 462 -1 155 387 308 -1 37 715 387 -1 104 541 388 -1 202 587 490 -1 124 485 328 -1 124 483 389 -1 156 539 390 -1 110 664 394 -1 156 742 391 -1 133 742 391 -1 8 392 9 -1 214 650 408 -1 634 872 792 -1 314 872 792 -1 634 795 792 -1 792 1367 795 -1 74 1367 795 -1 634 890 795 -1 794 1369 795 -1 74 1369 795 -1 794 1376 890 -1 393 1376 890 -1 794 890 795 -1 110 394 390 -1 391 948 539 -1 157 948 539 -1 34 395 255 -1 34 395 35 -1 332 652 475 -1 175 744 332 -1 47 508 397 -1 47 397 48 -1 6 398 7 -1 287 604 590 -1 259 465 464 -1 236 646 399 -1 204 983 982 -1 400 1031 982 -1 633 1031 983 -1 982 1031 983 -1 543 1046 1030 -1 633 1046 1031 -1 400 1031 1030 -1 1030 1046 1031 -1 126 570 569 -1 213 588 398 -1 331 489 402 -1 166 402 331 -1 329 1321 1298 -1 552 1321 1298 -1 329 1321 1297 -1 468 1321 1297 -1 403 1244 468 -1 468 1245 1244 -1 177 1245 1244 -1 325 1243 404 -1 177 1243 404 -1 83 404 325 -1 667 895 837 -1 181 837 833 -1 405 895 833 -1 833 895 837 -1 667 895 771 -1 770 1342 771 -1 69 1342 771 -1 405 895 770 -1 770 895 771 -1 424 799 798 -1 90 799 798 -1 75 798 424 -1 75 406 76 -1 243 429 407 -1 243 1219 407 -1 112 1219 407 -1 9 650 10 -1 10 650 408 -1 172 716 307 -1 19 480 409 -1 194 410 321 -1 125 410 321 -1 202 587 411 -1 118 587 411 -1 182 646 464 -1 168 413 322 -1 248 413 322 -1 142 869 540 -1 142 869 808 -1 313 869 808 -1 313 869 414 -1 414 869 540 -1 415 1514 1006 -1 415 1514 922 -1 922 1510 1453 -1 99 1453 1451 -1 920 1510 1451 -1 1451 1510 1453 -1 920 1470 1006 -1 284 1470 1006 -1 920 1514 1006 -1 920 1514 1510 -1 922 1514 1510 -1 415 1006 966 -1 176 966 963 -1 284 1006 963 -1 963 1006 966 -1 85 416 306 -1 306 964 416 -1 176 964 416 -1 161 1141 1097 -1 417 1141 1097 -1 161 1141 253 -1 119 1141 417 -1 119 1141 253 -1 193 1121 1118 -1 360 1158 1118 -1 418 1158 1121 -1 1118 1158 1121 -1 67 1559 1558 -1 1074 1623 1558 -1 1075 1623 1559 -1 1558 1623 1559 -1 360 1158 1074 -1 418 1158 1075 -1 1075 1623 1158 -1 1074 1623 1158 -1 59 597 419 -1 59 419 60 -1 116 420 381 -1 216 514 457 -1 253 599 481 -1 221 599 481 -1 161 617 253 -1 161 617 422 -1 423 1162 1078 -1 531 1162 1079 -1 68 1079 1078 -1 1078 1162 1079 -1 531 1162 1112 -1 179 1112 1110 -1 423 1162 1110 -1 1110 1162 1112 -1 269 826 655 -1 655 831 826 -1 178 831 826 -1 424 831 828 -1 178 831 828 -1 424 831 655 -1 269 826 425 -1 425 829 826 -1 178 829 826 -1 115 425 269 -1 426 1034 978 -1 743 1034 980 -1 197 980 978 -1 978 1034 980 -1 743 1034 927 -1 926 1457 927 -1 927 1458 1457 -1 100 1458 1457 -1 426 1034 926 -1 926 1034 927 -1 264 952 427 -1 427 955 952 -1 160 955 952 -1 118 427 264 -1 184 428 291 -1 141 428 291 -1 242 725 656 -1 242 588 429 -1 4 430 323 -1 4 430 5 -1 105 431 340 -1 217 513 512 -1 137 573 432 -1 295 1229 432 -1 137 1229 432 -1 186 533 532 -1 159 532 433 -1 159 435 434 -1 159 691 435 -1 50 435 434 -1 50 435 51 -1 87 754 484 -1 88 437 436 -1 89 437 233 -1 233 559 437 -1 80 448 438 -1 372 686 439 -1 256 741 439 -1 252 1083 640 -1 109 1083 640 -1 252 676 440 -1 218 1565 1131 -1 1131 1629 1565 -1 1187 1629 1565 -1 1131 1586 1584 -1 644 1586 1584 -1 1131 1629 1586 -1 1187 1629 1586 -1 218 1565 1129 -1 1129 1565 1187 -1 537 1187 1129 -1 117 1165 568 -1 117 1165 441 -1 88 442 437 -1 215 442 437 -1 128 443 245 -1 170 443 245 -1 89 524 444 -1 89 444 90 -1 81 446 237 -1 82 1320 758 -1 82 1320 445 -1 163 1319 446 -1 163 1319 1240 -1 445 1319 1240 -1 162 815 814 -1 375 883 814 -1 447 883 815 -1 814 883 815 -1 790 1366 1364 -1 73 1366 1364 -1 790 1431 1366 -1 898 1431 1366 -1 790 1385 1383 -1 699 1385 1383 -1 790 1431 1385 -1 898 1431 1385 -1 788 1366 1362 -1 73 1366 1362 -1 788 1428 1366 -1 898 1428 1366 -1 447 1378 788 -1 788 1428 1378 -1 898 1428 1378 -1 81 448 237 -1 221 690 448 -1 265 999 995 -1 449 1038 995 -1 736 1038 999 -1 995 1038 999 -1 265 1037 997 -1 649 1037 997 -1 265 1037 995 -1 449 1037 995 -1 166 450 299 -1 106 450 299 -1 222 714 452 -1 451 714 452 -1 76 738 406 -1 76 738 452 -1 453 1413 864 -1 453 1413 777 -1 777 1411 1350 -1 70 1350 1348 -1 775 1411 1348 -1 1348 1411 1350 -1 270 864 775 -1 775 1413 864 -1 775 1413 1411 -1 777 1413 1411 -1 774 1379 853 -1 453 1379 853 -1 254 853 774 -1 777 1408 1379 -1 774 1408 1379 -1 453 1379 777 -1 777 1408 1347 -1 774 1408 1347 -1 777 1350 1347 -1 70 1350 1347 -1 164 1101 1100 -1 454 1167 1100 -1 455 1167 1101 -1 1100 1167 1101 -1 164 1103 1101 -1 455 1171 1101 -1 515 1171 1103 -1 1101 1171 1103 -1 1063 1545 1544 -1 64 1545 1544 -1 1063 1609 1545 -1 1172 1609 1545 -1 1063 1590 1588 -1 711 1590 1588 -1 1063 1609 1590 -1 1172 1609 1590 -1 1061 1545 1542 -1 64 1545 1542 -1 1061 1608 1545 -1 1172 1608 1545 -1 455 1571 1061 -1 1061 1608 1571 -1 1172 1608 1571 -1 109 456 290 -1 290 1099 456 -1 456 1102 1099 -1 164 1102 1099 -1 216 457 420 -1 116 457 420 -1 149 680 511 -1 263 680 511 -1 140 459 359 -1 140 459 327 -1 460 962 960 -1 165 962 960 -1 460 962 740 -1 339 740 461 -1 265 999 996 -1 469 1041 996 -1 736 1041 999 -1 996 1041 999 -1 113 737 461 -1 272 584 473 -1 181 836 473 -1 473 836 584 -1 182 463 412 -1 12 753 463 -1 399 646 464 -1 111 464 399 -1 182 719 412 -1 182 719 465 -1 212 1157 560 -1 212 1157 349 -1 25 630 466 -1 466 630 467 -1 26 467 466 -1 228 1262 1261 -1 728 1338 1261 -1 729 1338 1262 -1 1261 1338 1262 -1 468 1297 1260 -1 228 1260 1258 -1 329 1297 1258 -1 1258 1297 1260 -1 246 1039 469 -1 246 1039 461 -1 165 1039 961 -1 469 1039 961 -1 165 1039 461 -1 143 477 474 -1 143 477 289 -1 158 471 326 -1 240 471 326 -1 460 979 472 -1 197 979 472 -1 146 472 460 -1 272 554 473 -1 181 900 835 -1 488 900 835 -1 181 900 473 -1 208 747 474 -1 143 747 474 -1 229 706 365 -1 529 1174 1107 -1 171 1107 1106 -1 476 1174 1106 -1 1106 1174 1107 -1 538 1176 1108 -1 171 1108 1106 -1 476 1176 1106 -1 1106 1176 1108 -1 538 1160 1108 -1 171 1108 1105 -1 396 1160 1105 -1 1105 1160 1108 -1 289 477 470 -1 175 477 470 -1 187 478 262 -1 114 478 262 -1 230 760 681 -1 121 752 491 -1 172 480 283 -1 19 480 283 -1 80 481 448 -1 221 481 448 -1 482 1013 991 -1 206 991 989 -1 309 1013 989 -1 989 1013 991 -1 936 1469 1467 -1 102 1469 1467 -1 936 1529 1469 -1 1042 1529 1469 -1 936 1482 1480 -1 648 1482 1480 -1 936 1529 1482 -1 1042 1529 1482 -1 102 1469 935 -1 935 1469 1042 -1 482 1042 935 -1 186 483 358 -1 223 483 358 -1 264 754 442 -1 264 754 484 -1 124 485 483 -1 223 485 483 -1 216 717 514 -1 84 717 514 -1 277 943 487 -1 487 946 943 -1 152 946 943 -1 309 946 944 -1 152 946 944 -1 309 946 487 -1 129 651 338 -1 129 651 488 -1 115 489 269 -1 207 489 269 -1 202 490 388 -1 104 490 388 -1 202 759 388 -1 202 759 491 -1 135 492 292 -1 255 741 598 -1 77 714 451 -1 77 1082 78 -1 78 1082 493 -1 494 1178 1082 -1 493 1178 1082 -1 77 1082 494 -1 179 1178 1111 -1 494 1178 1111 -1 179 1178 493 -1 154 495 363 -1 249 495 363 -1 44 697 496 -1 44 697 330 -1 42 586 497 -1 42 497 43 -1 92 1643 1642 -1 1198 1707 1642 -1 1199 1707 1643 -1 1642 1707 1643 -1 376 1316 1198 -1 498 1316 1199 -1 1199 1707 1316 -1 1198 1707 1316 -1 238 1267 1266 -1 498 1323 1266 -1 589 1323 1267 -1 1266 1323 1267 -1 499 1226 501 -1 501 1227 1226 -1 134 1227 1226 -1 214 501 499 -1 192 500 327 -1 140 500 327 -1 214 572 501 -1 214 528 392 -1 291 503 502 -1 112 502 291 -1 141 611 591 -1 141 591 503 -1 195 516 513 -1 195 513 512 -1 219 505 504 -1 105 505 504 -1 112 506 291 -1 184 506 291 -1 270 899 866 -1 507 899 866 -1 270 899 865 -1 462 899 865 -1 507 866 817 -1 270 866 817 -1 507 820 817 -1 167 820 817 -1 47 632 508 -1 249 698 697 -1 249 509 363 -1 117 510 331 -1 207 510 331 -1 21 511 263 -1 263 680 458 -1 195 512 346 -1 120 512 346 -1 217 513 431 -1 105 513 431 -1 84 745 514 -1 84 745 523 -1 251 1136 1135 -1 455 1171 1135 -1 515 1171 1136 -1 1135 1171 1136 -1 676 1179 1140 -1 515 1179 1140 -1 252 1140 676 -1 183 516 278 -1 195 516 278 -1 53 517 54 -1 281 628 336 -1 107 518 289 -1 172 518 289 -1 285 747 561 -1 285 700 519 -1 131 520 386 -1 271 520 386 -1 258 1326 1287 -1 600 1326 1287 -1 258 1326 1286 -1 522 1678 1286 -1 1286 1678 1326 -1 521 1675 1674 -1 1324 1737 1674 -1 1325 1737 1675 -1 1674 1737 1675 -1 1324 1678 1677 -1 522 1678 1677 -1 1324 1678 1326 -1 600 1326 1325 -1 1325 1737 1326 -1 1324 1737 1326 -1 189 1291 1250 -1 522 1676 1250 -1 1250 1676 1291 -1 189 1291 1249 -1 296 1668 1249 -1 1249 1668 1291 -1 1204 1651 1648 -1 93 1651 1648 -1 1204 1716 1651 -1 1291 1716 1651 -1 522 1676 1204 -1 1204 1716 1676 -1 1291 1716 1676 -1 1202 1651 1646 -1 93 1651 1646 -1 1202 1714 1651 -1 1291 1714 1651 -1 296 1668 1202 -1 1202 1714 1668 -1 1291 1714 1668 -1 83 745 404 -1 83 745 523 -1 233 876 524 -1 233 876 335 -1 89 524 233 -1 375 884 782 -1 525 884 784 -1 72 1357 782 -1 782 1357 784 -1 782 884 784 -1 260 857 855 -1 375 884 855 -1 525 884 857 -1 855 884 857 -1 128 526 245 -1 224 660 595 -1 123 527 344 -1 261 735 527 -1 214 572 528 -1 136 572 528 -1 171 1173 1107 -1 529 1173 1107 -1 171 1173 475 -1 229 706 529 -1 191 530 397 -1 275 530 397 -1 218 1164 1128 -1 531 1164 1128 -1 218 1164 1127 -1 441 1164 1127 -1 494 1111 705 -1 705 1113 1111 -1 179 1113 1111 -1 186 532 389 -1 389 671 532 -1 433 533 532 -1 110 533 433 -1 1072 1555 1554 -1 66 1555 1554 -1 1072 1619 1555 -1 1177 1619 1555 -1 1072 1594 1592 -1 713 1594 1592 -1 1072 1619 1594 -1 1177 1619 1594 -1 66 1555 1070 -1 1070 1555 1177 -1 476 1177 1070 -1 201 1175 1125 -1 534 1574 1125 -1 1125 1574 1175 -1 201 1175 1123 -1 476 1572 1123 -1 1123 1572 1175 -1 268 860 859 -1 488 903 859 -1 535 903 860 -1 859 903 860 -1 129 903 535 -1 129 903 488 -1 396 1119 639 -1 193 1119 639 -1 193 639 536 -1 537 1168 1115 -1 190 1115 1114 -1 454 1168 1114 -1 1114 1168 1115 -1 441 1165 1127 -1 568 1165 1130 -1 218 1130 1127 -1 1127 1165 1130 -1 476 1176 1070 -1 538 1176 1071 -1 66 1553 1070 -1 1070 1553 1071 -1 1070 1176 1071 -1 360 1071 1069 -1 1069 1553 1552 -1 66 1553 1552 -1 1069 1553 1071 -1 360 1159 1071 -1 538 1159 1071 -1 394 949 539 -1 157 949 539 -1 390 539 394 -1 192 681 540 -1 142 760 540 -1 301 541 500 -1 104 541 301 -1 185 973 971 -1 543 1045 971 -1 625 1045 973 -1 971 1045 973 -1 543 1030 913 -1 97 913 911 -1 400 1030 911 -1 911 1030 913 -1 97 1444 913 -1 913 1444 1043 -1 543 1043 913 -1 912 1444 1442 -1 97 1444 1442 -1 912 1501 1444 -1 1043 1501 1444 -1 912 1476 1474 -1 542 1476 1474 -1 912 1501 1476 -1 1043 1501 1476 -1 625 1535 1045 -1 625 1535 1478 -1 1044 1535 1478 -1 1044 1534 1477 -1 542 1477 1476 -1 1043 1534 1476 -1 1476 1534 1477 -1 543 1045 1043 -1 1043 1535 1045 -1 1043 1535 1534 -1 1044 1535 1534 -1 633 1046 974 -1 185 974 971 -1 543 1046 971 -1 971 1046 974 -1 185 974 972 -1 544 1047 972 -1 633 1047 974 -1 972 1047 974 -1 65 1547 1546 -1 1064 1610 1546 -1 1065 1610 1547 -1 1546 1610 1547 -1 534 1183 1064 -1 545 1183 1065 -1 1065 1610 1183 -1 1064 1610 1183 -1 267 1144 1143 -1 534 1183 1143 -1 545 1183 1144 -1 1143 1183 1144 -1 498 1709 1323 -1 498 1709 1199 -1 1201 1684 1323 -1 589 1684 1323 -1 1199 1708 1643 -1 1201 1708 1645 -1 92 1645 1643 -1 1643 1708 1645 -1 1201 1709 1708 -1 1199 1709 1708 -1 1201 1709 1323 -1 546 1682 1679 -1 1200 1711 1679 -1 1327 1711 1682 -1 1679 1711 1682 -1 1327 1712 1684 -1 1201 1712 1684 -1 589 1684 1327 -1 1200 1710 1644 -1 1201 1710 1645 -1 92 1645 1644 -1 1644 1710 1645 -1 1201 1712 1710 -1 1327 1712 1711 -1 1200 1711 1710 -1 1710 1712 1711 -1 106 547 367 -1 188 547 367 -1 135 548 292 -1 188 548 292 -1 127 549 378 -1 226 549 378 -1 338 586 579 -1 550 586 579 -1 551 1156 1088 -1 349 1156 1088 -1 132 1088 551 -1 676 1179 1138 -1 251 1138 1136 -1 515 1179 1136 -1 1136 1179 1138 -1 552 1278 1193 -1 244 1278 1193 -1 552 1196 1193 -1 1193 1637 1196 -1 91 1637 1196 -1 552 1278 1242 -1 244 1278 1242 -1 552 1246 1242 -1 177 1246 1242 -1 553 703 554 -1 39 703 553 -1 200 579 338 -1 200 579 554 -1 40 555 554 -1 145 556 300 -1 145 556 299 -1 49 695 557 -1 48 558 49 -1 49 695 558 -1 241 695 558 -1 121 559 491 -1 215 559 491 -1 231 560 440 -1 132 560 440 -1 16 561 17 -1 116 562 303 -1 217 562 303 -1 220 682 574 -1 196 678 563 -1 565 1328 1290 -1 564 1328 1290 -1 295 1290 565 -1 564 1290 1229 -1 295 1290 1229 -1 137 1229 564 -1 259 1248 565 -1 189 1248 565 -1 111 565 259 -1 566 1169 1116 -1 190 1116 1114 -1 454 1169 1114 -1 1114 1169 1116 -1 566 1169 1104 -1 164 1104 1100 -1 454 1169 1100 -1 1100 1169 1104 -1 290 1152 566 -1 566 1190 1152 -1 567 1190 1152 -1 567 1152 1089 -1 290 1152 1089 -1 145 1089 567 -1 537 1130 1129 -1 218 1130 1129 -1 537 1186 1130 -1 568 1186 1130 -1 190 1186 1117 -1 568 1186 1117 -1 190 1186 1115 -1 537 1186 1115 -1 570 1330 1254 -1 621 1330 1257 -1 198 1257 1254 -1 1254 1330 1257 -1 198 1254 569 -1 569 1254 570 -1 126 1317 570 -1 126 1317 401 -1 239 1272 1271 -1 401 1317 1271 -1 570 1317 1272 -1 1271 1317 1272 -1 571 1257 1255 -1 198 1257 1255 -1 571 1331 1257 -1 621 1331 1257 -1 621 1726 1331 -1 621 1726 1212 -1 1212 1723 1659 -1 95 1659 1658 -1 1211 1723 1658 -1 1658 1723 1659 -1 571 1331 1211 -1 1211 1726 1331 -1 1211 1726 1723 -1 1212 1726 1723 -1 501 1281 1280 -1 257 1281 1280 -1 501 1281 572 -1 136 1337 702 -1 136 1337 670 -1 196 573 317 -1 196 573 354 -1 563 678 574 -1 103 574 563 -1 346 1233 576 -1 148 1233 576 -1 195 576 346 -1 170 577 279 -1 29 577 279 -1 194 578 339 -1 113 578 339 -1 554 579 555 -1 41 579 555 -1 384 581 580 -1 30 580 384 -1 31 581 580 -1 210 615 614 -1 221 690 582 -1 122 690 582 -1 302 1231 583 -1 583 1234 1231 -1 148 1234 1231 -1 302 1252 583 -1 583 1256 1252 -1 198 1256 1252 -1 131 584 520 -1 272 584 520 -1 380 1093 585 -1 147 1093 585 -1 199 585 380 -1 266 586 497 -1 266 586 338 -1 247 587 341 -1 118 587 341 -1 213 588 401 -1 126 588 401 -1 296 1667 1202 -1 1202 1713 1667 -1 1206 1713 1667 -1 1202 1650 1646 -1 93 1650 1646 -1 1202 1713 1650 -1 1206 1713 1650 -1 1206 1667 1293 -1 296 1667 1293 -1 1206 1685 1293 -1 589 1685 1293 -1 296 1294 1293 -1 589 1333 1293 -1 674 1333 1294 -1 1293 1333 1294 -1 213 590 398 -1 7 590 398 -1 219 591 504 -1 219 591 350 -1 4 657 323 -1 307 593 511 -1 20 593 307 -1 172 594 518 -1 172 594 307 -1 106 595 367 -1 224 659 658 -1 267 1184 1145 -1 596 1184 1145 -1 267 1184 1143 -1 534 1184 1143 -1 201 1184 1126 -1 596 1184 1126 -1 201 1184 1125 -1 534 1184 1125 -1 153 597 276 -1 276 723 597 -1 34 757 255 -1 119 599 421 -1 119 599 253 -1 94 1656 1209 -1 1209 1656 1309 -1 600 1309 1209 -1 1207 1656 1653 -1 94 1656 1653 -1 1207 1656 1309 -1 1207 1671 1670 -1 352 1671 1670 -1 1207 1671 1309 -1 257 1309 1282 -1 600 1309 1282 -1 257 1309 1279 -1 352 1671 1279 -1 1279 1671 1309 -1 208 684 474 -1 208 684 601 -1 16 602 561 -1 208 602 561 -1 138 603 297 -1 204 664 603 -1 401 670 604 -1 213 604 401 -1 605 878 854 -1 254 854 852 -1 353 878 852 -1 852 878 854 -1 605 878 807 -1 139 807 805 -1 353 878 805 -1 805 878 807 -1 155 606 385 -1 155 606 386 -1 199 607 380 -1 380 1086 607 -1 130 1086 607 -1 199 609 608 -1 199 609 585 -1 23 609 608 -1 23 609 24 -1 1 710 575 -1 209 610 575 -1 350 611 591 -1 209 611 350 -1 209 612 350 -1 125 612 350 -1 37 746 387 -1 37 746 613 -1 32 615 614 -1 210 615 581 -1 31 615 581 -1 196 616 324 -1 122 616 324 -1 80 704 481 -1 253 617 481 -1 501 1227 618 -1 618 1228 1227 -1 134 1228 1227 -1 618 1288 1224 -1 258 1288 1224 -1 618 1228 1224 -1 134 1228 1224 -1 619 901 810 -1 479 901 810 -1 619 811 810 -1 142 811 810 -1 232 901 848 -1 619 901 848 -1 232 901 847 -1 479 901 847 -1 109 620 290 -1 170 638 245 -1 239 1310 1273 -1 621 1686 1273 -1 1273 1686 1310 -1 239 1310 1270 -1 352 1310 1270 -1 1213 1728 1660 -1 1336 1728 1662 -1 95 1662 1660 -1 1660 1728 1662 -1 1213 1692 1690 -1 688 1692 1690 -1 1213 1728 1692 -1 1336 1728 1692 -1 1212 1727 1659 -1 1336 1727 1662 -1 95 1662 1659 -1 1659 1727 1662 -1 621 1687 1212 -1 1212 1727 1687 -1 1336 1727 1687 -1 545 1630 1576 -1 1188 1630 1576 -1 545 1630 1149 -1 1188 1631 1581 -1 622 1581 1580 -1 1151 1631 1580 -1 1580 1631 1581 -1 280 1151 1149 -1 1149 1630 1151 -1 1151 1631 1630 -1 1188 1631 1630 -1 1151 1607 1577 -1 1060 1607 1577 -1 1151 1580 1577 -1 622 1580 1577 -1 1151 1607 1566 -1 1060 1607 1566 -1 280 1566 1151 -1 1062 1605 1577 -1 1060 1605 1577 -1 1062 1578 1577 -1 622 1578 1577 -1 1062 1605 1541 -1 1060 1605 1541 -1 1062 1543 1541 -1 64 1543 1541 -1 264 623 442 -1 215 623 442 -1 236 693 463 -1 12 624 463 -1 696 1012 953 -1 294 1012 953 -1 696 957 953 -1 160 957 953 -1 625 1010 969 -1 294 1010 969 -1 625 973 969 -1 185 973 969 -1 300 626 556 -1 166 626 556 -1 55 627 336 -1 336 628 627 -1 281 628 517 -1 54 628 517 -1 212 629 349 -1 349 1092 629 -1 147 1092 629 -1 212 630 315 -1 25 630 315 -1 248 631 610 -1 62 631 248 -1 293 632 508 -1 46 632 293 -1 544 1047 603 -1 603 1048 1047 -1 633 1048 1047 -1 204 1048 983 -1 633 1048 983 -1 204 1048 603 -1 734 905 823 -1 535 905 823 -1 734 825 823 -1 174 825 823 -1 634 872 822 -1 314 872 822 -1 634 824 822 -1 174 824 822 -1 240 635 602 -1 15 635 240 -1 231 636 467 -1 26 636 467 -1 316 804 637 -1 139 804 637 -1 203 709 637 -1 245 638 620 -1 109 638 620 -1 334 744 682 -1 144 639 396 -1 252 640 440 -1 173 640 440 -1 292 641 478 -1 114 641 478 -1 306 964 720 -1 720 968 964 -1 176 968 964 -1 86 642 306 -1 643 1016 984 -1 320 1016 984 -1 643 987 984 -1 205 987 984 -1 643 1016 954 -1 320 1016 954 -1 643 956 954 -1 160 956 954 -1 531 1573 1128 -1 1128 1573 1131 -1 218 1131 1128 -1 1181 1628 1573 -1 1131 1628 1573 -1 531 1573 1181 -1 1181 1628 1584 -1 1131 1628 1584 -1 1181 1585 1584 -1 644 1585 1584 -1 1080 1564 1562 -1 68 1564 1562 -1 1080 1626 1564 -1 1181 1626 1564 -1 1080 1585 1583 -1 644 1585 1583 -1 1080 1626 1585 -1 1181 1626 1585 -1 68 1564 1079 -1 1079 1564 1181 -1 531 1181 1079 -1 191 645 359 -1 191 645 328 -1 182 646 463 -1 236 646 463 -1 647 1014 989 -1 309 1014 989 -1 647 992 989 -1 206 992 989 -1 647 1014 944 -1 309 1014 944 -1 152 944 647 -1 482 1473 991 -1 991 1473 993 -1 206 993 991 -1 1042 1530 1473 -1 993 1530 1473 -1 482 1473 1042 -1 1042 1530 1481 -1 993 1530 1481 -1 1042 1482 1481 -1 648 1482 1481 -1 929 1487 1027 -1 707 1487 1027 -1 377 1027 929 -1 932 1521 1487 -1 929 1521 1487 -1 707 1487 932 -1 932 1521 1461 -1 929 1521 1461 -1 932 1464 1461 -1 101 1464 1461 -1 101 1463 1462 -1 930 1522 1462 -1 931 1522 1463 -1 1462 1522 1463 -1 930 1523 1479 -1 1052 1523 1483 -1 648 1483 1479 -1 1479 1523 1483 -1 649 1485 931 -1 931 1525 1485 -1 1052 1525 1485 -1 1052 1525 1523 -1 930 1523 1522 -1 931 1525 1522 -1 1522 1525 1523 -1 1052 1531 1484 -1 993 1531 1484 -1 1052 1485 1484 -1 649 1485 1484 -1 1052 1531 1481 -1 993 1531 1481 -1 1052 1483 1481 -1 648 1483 1481 -1 993 1484 994 -1 649 1484 994 -1 206 994 993 -1 214 650 392 -1 9 650 392 -1 200 651 473 -1 200 651 338 -1 396 1105 652 -1 171 1105 652 -1 144 652 396 -1 266 653 497 -1 151 653 497 -1 256 654 614 -1 32 654 614 -1 75 655 406 -1 269 655 406 -1 242 726 656 -1 323 657 592 -1 3 657 592 -1 224 658 595 -1 106 658 595 -1 299 659 658 -1 145 659 299 -1 224 660 526 -1 128 660 526 -1 225 661 439 -1 135 661 439 -1 168 662 362 -1 168 662 321 -1 153 663 419 -1 305 663 419 -1 297 664 533 -1 110 664 533 -1 116 665 303 -1 116 665 381 -1 210 666 372 -1 128 666 372 -1 268 891 861 -1 667 891 861 -1 268 891 858 -1 393 1377 858 -1 858 1377 891 -1 69 1344 771 -1 771 1344 891 -1 667 891 771 -1 769 1344 1341 -1 69 1344 1341 -1 769 1344 891 -1 769 1377 1375 -1 393 1377 1375 -1 769 1377 891 -1 425 908 727 -1 425 908 668 -1 115 668 425 -1 669 879 842 -1 211 842 839 -1 353 879 839 -1 839 879 842 -1 779 1380 879 -1 669 1380 879 -1 353 879 779 -1 780 1415 1380 -1 779 1415 1380 -1 669 1380 780 -1 780 1415 1353 -1 779 1415 1353 -1 780 1354 1353 -1 71 1354 1353 -1 702 1337 1311 -1 670 1337 1311 -1 702 1313 1311 -1 352 1313 1311 -1 239 1311 1274 -1 670 1311 1274 -1 239 1311 1270 -1 352 1311 1270 -1 241 671 434 -1 159 671 434 -1 241 672 389 -1 124 672 389 -1 673 1302 1222 -1 342 1302 1222 -1 122 1222 673 -1 673 1302 1264 -1 342 1302 1264 -1 673 1268 1264 -1 238 1268 1264 -1 674 1315 1230 -1 354 1315 1230 -1 137 1230 674 -1 674 1315 1269 -1 238 1269 1265 -1 354 1315 1265 -1 1265 1315 1269 -1 146 675 339 -1 194 675 339 -1 251 1138 1137 -1 551 1189 1137 -1 676 1189 1138 -1 1137 1189 1138 -1 132 1189 676 -1 132 1189 551 -1 169 677 323 -1 169 677 407 -1 220 678 324 -1 196 678 324 -1 220 679 333 -1 119 679 333 -1 366 680 458 -1 366 750 680 -1 230 681 388 -1 540 760 681 -1 144 682 639 -1 333 682 639 -1 683 1018 970 -1 341 1018 970 -1 683 975 970 -1 185 975 970 -1 683 1011 969 -1 294 1011 969 -1 683 975 969 -1 185 975 969 -1 235 684 474 -1 123 735 527 -1 28 685 279 -1 173 685 279 -1 210 686 614 -1 256 686 614 -1 687 1429 881 -1 687 1429 789 -1 789 1424 1363 -1 73 1363 1361 -1 787 1424 1361 -1 1361 1424 1363 -1 787 1372 881 -1 364 1372 881 -1 787 1429 881 -1 787 1429 1424 -1 789 1429 1424 -1 687 881 849 -1 232 849 845 -1 364 881 845 -1 845 881 849 -1 688 1692 1691 -1 1312 1736 1691 -1 1336 1736 1692 -1 1691 1736 1692 -1 352 1312 1310 -1 1310 1686 1336 -1 1336 1687 1686 -1 621 1687 1686 -1 1310 1736 1336 -1 1310 1736 1312 -1 1312 1721 1688 -1 1207 1721 1688 -1 1312 1691 1688 -1 688 1691 1688 -1 1312 1721 1670 -1 1207 1721 1670 -1 352 1670 1312 -1 1210 1720 1688 -1 1207 1720 1688 -1 1210 1689 1688 -1 688 1689 1688 -1 1210 1720 1653 -1 1207 1720 1653 -1 1210 1655 1653 -1 94 1655 1653 -1 146 689 675 -1 340 689 675 -1 237 1303 690 -1 237 1303 342 -1 122 1303 690 -1 122 1303 1222 -1 342 1303 1222 -1 227 691 433 -1 159 691 433 -1 337 693 692 -1 158 692 337 -1 463 693 624 -1 13 693 624 -1 223 694 298 -1 104 694 298 -1 50 695 434 -1 241 695 434 -1 294 1012 1010 -1 625 1049 1010 -1 696 1049 1012 -1 1010 1049 1012 -1 98 1449 1448 -1 918 1508 1448 -1 919 1508 1449 -1 1448 1508 1449 -1 625 1049 918 -1 696 1049 919 -1 919 1508 1049 -1 918 1508 1049 -1 495 697 496 -1 249 697 495 -1 249 698 509 -1 151 698 509 -1 375 1437 885 -1 375 1437 883 -1 447 1378 883 -1 883 1378 898 -1 885 1438 1384 -1 898 1438 1385 -1 699 1385 1384 -1 1384 1438 1385 -1 898 1438 1437 -1 885 1438 1437 -1 883 1437 898 -1 785 1360 1358 -1 72 1360 1358 -1 785 1423 1360 -1 885 1423 1360 -1 785 1384 1382 -1 699 1384 1382 -1 785 1423 1384 -1 885 1423 1384 -1 72 1360 782 -1 782 1360 885 -1 375 885 782 -1 18 700 283 -1 285 701 700 -1 17 701 285 -1 136 702 572 -1 572 1281 702 -1 702 1284 1281 -1 257 1284 1281 -1 272 703 371 -1 39 703 371 -1 481 704 617 -1 79 704 617 -1 179 1182 1113 -1 705 1182 1113 -1 179 1182 1112 -1 531 1182 1112 -1 705 1182 1164 -1 531 1182 1164 -1 705 1166 1164 -1 441 1166 1164 -1 529 1173 706 -1 475 1173 706 -1 107 706 475 -1 101 1464 1463 -1 931 1524 1463 -1 932 1524 1464 -1 1463 1524 1464 -1 649 1053 931 -1 707 1053 932 -1 932 1524 1053 -1 931 1524 1053 -1 265 998 997 -1 649 1053 997 -1 707 1053 998 -1 997 1053 998 -1 384 708 577 -1 29 708 577 -1 316 907 709 -1 316 907 874 -1 668 907 874 -1 115 907 709 -1 115 907 668 -1 575 710 610 -1 0 710 610 -1 455 1632 1571 -1 1172 1632 1571 -1 455 1632 1167 -1 1172 1633 1590 -1 711 1590 1589 -1 1170 1633 1589 -1 1589 1633 1590 -1 454 1170 1167 -1 1167 1632 1170 -1 1170 1633 1632 -1 1172 1633 1632 -1 1058 1538 1537 -1 63 1538 1537 -1 1058 1602 1538 -1 1170 1602 1538 -1 1058 1589 1587 -1 711 1589 1587 -1 1058 1602 1589 -1 1170 1602 1589 -1 63 1538 1055 -1 1055 1538 1170 -1 454 1170 1055 -1 656 726 712 -1 5 712 656 -1 1185 1635 1593 -1 1175 1635 1593 -1 1185 1595 1593 -1 713 1595 1593 -1 1185 1635 1574 -1 1175 1635 1574 -1 1185 1575 1574 -1 534 1575 1574 -1 1177 1634 1593 -1 1175 1634 1593 -1 1177 1594 1593 -1 713 1594 1593 -1 1177 1634 1572 -1 1175 1634 1572 -1 476 1572 1177 -1 65 1549 1546 -1 1064 1611 1546 -1 1067 1611 1549 -1 1546 1611 1549 -1 534 1575 1064 -1 1064 1612 1575 -1 1185 1612 1575 -1 1067 1615 1591 -1 1185 1615 1595 -1 713 1595 1591 -1 1591 1615 1595 -1 1185 1615 1612 -1 1064 1612 1611 -1 1067 1615 1611 -1 1611 1615 1612 -1 77 714 494 -1 222 714 494 -1 308 715 387 -1 36 715 308 -1 20 716 409 -1 20 716 307 -1 85 717 416 -1 216 717 416 -1 288 718 357 -1 114 718 357 -1 234 719 465 -1 234 719 412 -1 306 1050 720 -1 306 1050 642 -1 205 1050 988 -1 720 1050 988 -1 205 1050 642 -1 58 722 721 -1 226 722 721 -1 57 724 311 -1 276 723 721 -1 58 723 721 -1 57 724 722 -1 226 724 722 -1 242 725 429 -1 169 725 429 -1 6 726 398 -1 242 726 398 -1 211 843 841 -1 668 908 841 -1 727 908 843 -1 841 908 843 -1 727 888 840 -1 382 888 840 -1 727 843 840 -1 211 843 840 -1 728 1306 1232 -1 345 1306 1232 -1 728 1235 1232 -1 148 1235 1232 -1 728 1306 1259 -1 345 1306 1259 -1 728 1261 1259 -1 228 1261 1259 -1 228 1262 1260 -1 468 1322 1260 -1 729 1322 1262 -1 1260 1322 1262 -1 729 1322 1221 -1 468 1322 1221 -1 120 1221 729 -1 730 1307 1259 -1 345 1307 1259 -1 730 1263 1259 -1 228 1263 1259 -1 96 1307 1216 -1 730 1307 1216 -1 96 1307 1215 -1 345 1307 1215 -1 127 1038 736 -1 127 1038 449 -1 127 731 347 -1 203 732 355 -1 203 732 450 -1 108 733 313 -1 313 821 733 -1 174 821 733 -1 734 906 824 -1 634 906 824 -1 734 825 824 -1 174 825 824 -1 734 906 892 -1 393 892 890 -1 634 906 890 -1 890 906 892 -1 123 735 684 -1 235 735 684 -1 127 736 731 -1 246 736 731 -1 361 737 731 -1 113 737 361 -1 207 738 269 -1 269 738 406 -1 156 739 390 -1 227 739 390 -1 146 740 339 -1 146 740 460 -1 255 741 492 -1 135 741 492 -1 281 742 336 -1 133 742 336 -1 743 1007 976 -1 284 1007 976 -1 743 980 976 -1 197 980 976 -1 100 1459 1458 -1 927 1518 1458 -1 928 1518 1459 -1 1458 1518 1459 -1 743 1488 927 -1 927 1519 1488 -1 1054 1519 1488 -1 928 1520 1496 -1 1054 1520 1498 -1 765 1498 1496 -1 1496 1520 1498 -1 1054 1520 1519 -1 927 1519 1518 -1 928 1520 1518 -1 1518 1520 1519 -1 332 744 652 -1 144 744 652 -1 180 745 514 -1 180 745 404 -1 271 746 371 -1 271 746 387 -1 285 747 519 -1 143 747 519 -1 282 1023 1004 -1 748 1023 1004 -1 282 1023 1002 -1 374 1023 1002 -1 157 1023 951 -1 748 1023 951 -1 157 1023 947 -1 374 1023 947 -1 571 1734 1683 -1 1332 1734 1683 -1 571 1734 1304 -1 1332 1735 1696 -1 749 1696 1695 -1 1308 1735 1695 -1 1695 1735 1696 -1 345 1308 1304 -1 1304 1734 1308 -1 1308 1735 1734 -1 1332 1735 1734 -1 95 1661 1658 -1 1211 1724 1658 -1 1214 1724 1661 -1 1658 1724 1661 -1 571 1683 1211 -1 1211 1725 1683 -1 1332 1725 1683 -1 1214 1729 1693 -1 1332 1729 1696 -1 749 1696 1693 -1 1693 1729 1696 -1 1332 1729 1725 -1 1211 1725 1724 -1 1214 1729 1724 -1 1724 1729 1725 -1 229 750 365 -1 149 750 365 -1 751 877 801 -1 335 877 801 -1 121 801 751 -1 751 877 844 -1 335 877 844 -1 751 850 844 -1 232 850 844 -1 479 802 752 -1 121 802 752 -1 230 752 479 -1 412 753 463 -1 11 753 412 -1 87 754 88 -1 88 754 442 -1 312 755 739 -1 227 755 739 -1 125 756 350 -1 219 756 350 -1 255 757 598 -1 33 757 598 -1 446 1320 1319 -1 445 1320 1319 -1 446 1320 758 -1 81 758 446 -1 491 759 752 -1 230 759 752 -1 230 760 479 -1 479 810 760 -1 142 810 760 -1 669 1439 1381 -1 909 1439 1381 -1 669 1439 887 -1 909 1440 1390 -1 761 1390 1389 -1 889 1440 1389 -1 1389 1440 1390 -1 382 889 887 -1 887 1439 889 -1 889 1440 1439 -1 909 1440 1439 -1 71 1355 1354 -1 780 1417 1354 -1 781 1417 1355 -1 1354 1417 1355 -1 669 1381 780 -1 780 1418 1381 -1 909 1418 1381 -1 781 1419 1386 -1 909 1419 1390 -1 761 1390 1386 -1 1386 1419 1390 -1 909 1419 1418 -1 780 1418 1417 -1 781 1419 1417 -1 1417 1419 1418 -1 893 1404 1391 -1 769 1404 1391 -1 893 1395 1391 -1 762 1395 1391 -1 893 1404 1375 -1 769 1404 1375 -1 393 1375 893 -1 772 1403 1391 -1 769 1403 1391 -1 772 1392 1391 -1 762 1392 1391 -1 772 1403 1341 -1 769 1403 1341 -1 772 1343 1341 -1 69 1343 1341 -1 893 1436 1393 -1 794 1436 1393 -1 893 1395 1393 -1 762 1395 1393 -1 893 1436 1376 -1 794 1436 1376 -1 393 1376 893 -1 796 1435 1393 -1 794 1435 1393 -1 796 1394 1393 -1 762 1394 1393 -1 796 1435 1369 -1 794 1435 1369 -1 796 1370 1369 -1 74 1370 1369 -1 1024 1500 1489 -1 910 1500 1489 -1 1024 1493 1489 -1 763 1493 1489 -1 1024 1500 1471 -1 910 1500 1471 -1 374 1471 1024 -1 914 1499 1489 -1 910 1499 1489 -1 914 1490 1489 -1 763 1490 1489 -1 914 1499 1441 -1 910 1499 1441 -1 914 1443 1441 -1 97 1443 1441 -1 1024 1528 1491 -1 934 1528 1491 -1 1024 1493 1491 -1 763 1493 1491 -1 1024 1528 1472 -1 934 1528 1472 -1 374 1472 1024 -1 937 1526 1491 -1 934 1526 1491 -1 937 1492 1491 -1 763 1492 1491 -1 937 1526 1466 -1 934 1526 1466 -1 937 1468 1466 -1 102 1468 1466 -1 329 1732 1300 -1 329 1732 1299 -1 730 1339 1299 -1 1300 1733 1700 -1 1339 1733 1701 -1 764 1701 1700 -1 1700 1733 1701 -1 1339 1733 1732 -1 1300 1733 1732 -1 1299 1732 1339 -1 1218 1666 1664 -1 96 1666 1664 -1 1218 1731 1666 -1 1339 1731 1666 -1 1218 1701 1699 -1 764 1701 1699 -1 1218 1731 1701 -1 1339 1731 1701 -1 96 1666 1216 -1 1216 1666 1339 -1 730 1339 1216 -1 743 1532 1488 -1 1054 1532 1488 -1 743 1532 1007 -1 1054 1533 1498 -1 765 1498 1497 -1 1008 1533 1497 -1 1497 1533 1498 -1 284 1008 1007 -1 1007 1532 1008 -1 1008 1533 1532 -1 1054 1533 1532 -1 1008 1512 1494 -1 920 1512 1494 -1 1008 1497 1494 -1 765 1497 1494 -1 1008 1512 1470 -1 920 1512 1470 -1 284 1470 1008 -1 923 1511 1494 -1 920 1511 1494 -1 923 1495 1494 -1 765 1495 1494 -1 923 1511 1451 -1 920 1511 1451 -1 923 1454 1451 -1 99 1454 1451 -1 882 1434 1398 -1 793 1434 1398 -1 882 1400 1398 -1 766 1400 1398 -1 882 1434 1373 -1 793 1434 1373 -1 364 1373 882 -1 797 1432 1398 -1 793 1432 1398 -1 797 1399 1398 -1 766 1399 1398 -1 797 1432 1368 -1 793 1432 1368 -1 797 1371 1368 -1 74 1371 1368 -1 882 1426 1396 -1 787 1426 1396 -1 882 1400 1396 -1 766 1400 1396 -1 882 1426 1372 -1 787 1426 1372 -1 364 1372 882 -1 791 1425 1396 -1 787 1425 1396 -1 791 1397 1396 -1 766 1397 1396 -1 791 1425 1361 -1 787 1425 1361 -1 791 1365 1361 -1 73 1365 1361 -1 1155 1625 1598 -1 1077 1625 1598 -1 1155 1600 1598 -1 767 1600 1598 -1 1155 1625 1568 -1 1077 1625 1568 -1 310 1568 1155 -1 1081 1624 1598 -1 1077 1624 1598 -1 1081 1599 1598 -1 767 1599 1598 -1 1081 1624 1561 -1 1077 1624 1561 -1 1081 1563 1561 -1 68 1563 1561 -1 1155 1622 1596 -1 1073 1622 1596 -1 1155 1600 1596 -1 767 1600 1596 -1 1155 1622 1567 -1 1073 1622 1567 -1 310 1567 1155 -1 1076 1621 1596 -1 1073 1621 1596 -1 1076 1597 1596 -1 767 1597 1596 -1 1076 1621 1557 -1 1073 1621 1557 -1 1076 1560 1557 -1 67 1560 1557 -1 \\\">\\n\",\n       \"            <coordinate point=\\\"-0.998757 0.0498459 0 -0.998757 -0.0498459 0 -0.988831 -0.149042 0 -0.969077 -0.246757 0 -0.939693 -0.34202 0 -0.900969 -0.433884 0 -0.853291 -0.521435 0 -0.797133 -0.603804 0 -0.733052 -0.680173 0 -0.661686 -0.749781 0 -0.583744 -0.811938 0 -0.5 -0.866025 0 -0.411287 -0.911506 0 -0.318487 -0.947927 0 -0.222521 -0.974928 0 -0.124344 -0.992239 0 -0.0249307 -0.999689 0 0.0747301 -0.997204 0 0.173648 -0.984808 0 0.27084 -0.962624 0 0.365341 -0.930874 0 0.456211 -0.889872 0 0.542546 -0.840026 0 0.62349 -0.781831 0 0.698237 -0.715867 0 0.766044 -0.642788 0 0.826239 -0.56332 0 0.878222 -0.478254 0 0.921476 -0.388435 0 0.955573 -0.294755 0 0.980172 -0.198146 0 0.995031 -0.0995678 0 1 0 0 0.995031 0.0995678 0 0.980172 0.198146 0 0.955573 0.294755 0 0.921476 0.388435 0 0.878222 0.478254 0 0.826239 0.56332 0 0.766044 0.642788 0 0.698237 0.715867 0 0.62349 0.781831 0 0.542546 0.840026 0 0.456211 0.889872 0 0.365341 0.930874 0 0.27084 0.962624 0 0.173648 0.984808 0 0.0747301 0.997204 0 -0.0249307 0.999689 0 -0.124344 0.992239 0 -0.222521 0.974928 0 -0.318487 0.947927 0 -0.411287 0.911506 0 -0.5 0.866025 0 -0.583744 0.811938 0 -0.661686 0.749781 0 -0.733052 0.680173 0 -0.797133 0.603804 0 -0.853291 0.521435 0 -0.900969 0.433884 0 -0.939693 0.34202 0 -0.969077 0.246757 0 -0.988831 0.149042 0 0.45 -0.313397 0 0.5 -0.4 0 0.45 -0.486603 0 0.35 -0.486603 0 0.3 -0.4 0 0.35 -0.313397 0 0.45 0.486603 0 0.5 0.4 0 0.45 0.313397 0 0.35 0.313397 0 0.3 0.4 0 0.35 0.486603 0 0.23097 0.0956709 0 0.25 0 0 0.23097 -0.0956709 0 0.176777 -0.176777 0 0.0956709 -0.23097 0 -4.59243e-17 -0.25 0 -0.0956709 -0.23097 0 -0.176777 -0.176777 0 -0.23097 -0.0956709 0 -0.25 3.06162e-17 0 -0.23097 0.0956709 0 -0.176777 0.176777 0 -0.0956709 0.23097 0 1.53081e-17 0.25 0 0.0956709 0.23097 0 0.176777 0.176777 0 -0.35 -0.313397 0 -0.3 -0.4 0 -0.35 -0.486603 0 -0.45 -0.486603 0 -0.5 -0.4 0 -0.45 -0.313397 0 -0.35 0.486603 0 -0.3 0.4 0 -0.35 0.313397 0 -0.45 0.313397 0 -0.5 0.4 0 -0.45 0.486603 0 0 -0.625324 0 0.0050181 0.628043 0 -0.637151 1.249e-16 0 0.654319 0.0326557 0 0.237005 -0.712405 0 0.241237 0.712759 0 0.706982 -0.25732 0 -0.280053 0.713563 0 -0.280053 -0.713563 0 -0.727916 -0.224532 0 -0.703392 0.246225 0 0.719526 0.261886 0 0.447512 0.0968663 0 -0.443575 0.0882327 0 0.436104 -0.108342 0 -0.0934226 0.441703 0 0.0870564 -0.437662 0 -0.469102 -0.112225 0 0.104127 0.428762 0 -0.10709 -0.425181 0 -0.0606485 -0.809298 0 -0.0606845 0.809778 0 -0.810214 0.0810741 0 -0.692573 -0.41438 0 -0.685736 0.43427 0 0.802664 -0.0901731 0 0.479961 0.667586 0 0.479961 -0.667586 0 0.65563 0.49662 0 0.682404 -0.443138 0 -0.517553 0.64899 0 -0.461251 -0.672136 0 0.815944 0.110569 0 -0.604992 -0.563697 0 -0.200973 -0.564933 0 -0.159952 0.596021 0 0.56873 0.203753 0 0.0904005 0.761655 0 -0.829817 -0.0880894 0 0.204022 0.55563 0 0.109488 -0.826316 0 0.150708 -0.581213 0 0.602512 -0.126523 0 -0.586627 0.145615 0 0.58352 -0.55747 0 -0.574492 -0.223725 0 0.372978 -0.768567 0 -0.140302 -0.692566 0 0.375484 0.768834 0 -0.638874 0.57079 0 -0.803474 0.338693 0 0.200525 0.844269 0 0.759617 0.398863 0 -0.417522 0.750128 0 -0.385098 0.618023 0 -0.201726 -0.833336 0 -0.236626 0.841018 0 -0.179834 0.337246 0 0.179228 -0.337978 0 0.205007 0.306815 0 -0.205007 -0.306815 0 0.580737 -0.295652 0 -0.575761 0.276287 0 0.530492 -0.0150634 0 0.629657 0.364806 0 -0.840779 0.210771 0 -0.804718 -0.339217 0 0.839391 -0.222157 0 0.277753 -0.591622 0 0.265565 -0.83594 0 0.789819 -0.362811 0 0.348267 0.625 0 0.103457 -0.699284 0 -0.340259 0.177323 0 -0.34512 -0.174666 0 0.338789 0.178127 0 0.299077 -0.199837 0 -0.361355 -0.0525913 0 0.549331 0.56313 0 -0.391126 -0.782398 0 -0.706772 -0.102468 0 -0.850853 -0.210074 0 -0.230094 0.498095 0 -0.162967 0.744795 0 0.843638 0.234593 0 0.700524 0.143402 0 -0.314455 -0.599907 0 0.510221 -0.200607 0 0.0438873 0.876856 0 0.124214 0.64596 0 0.20296 -0.472157 0 -0.702872 0.128767 0 -0.586799 -0.106535 0 -0.0844601 -0.541794 0 -0.481851 0.199815 0 -0.601381 -0.338966 0 0.593378 -0.67238 0 0.594292 0.668251 0 0.392526 -0.593219 0 0.0100033 0.506237 0 0.558901 0.0927216 0 -0.274038 0.601432 0 -0.255138 0.255548 0 -0.560498 0.492664 0 0.37346 -0.00193847 0 0.0168686 -0.893302 0 -0.894492 0.00512302 0 0.901284 -0.0449812 0 0.443745 0.205189 0 0.695971 -0.554799 0 -0.712973 -0.526689 0 -0.575666 -0.67431 0 0.00102128 0.369113 0 -0.34293 0.0525808 0 -0.518388 -0.00409499 0 0.404589 -0.21668 0 -0.743806 -0.00241945 0 0.020039 -0.520596 0 -0.00585873 -0.366742 0 0.333476 -0.102997 0 -0.0659766 0.705121 0 0.695393 -0.0687327 0 0.7675 0.0129635 0 -0.751544 0.512394 0 -0.330188 0.801771 0 -0.47301 -0.214089 0 0.333984 -0.675456 0 0.107548 0.528831 0 0.780112 -0.461813 0 0.207332 0.450261 0 0.108291 0.329507 0 -0.494884 -0.766231 0 0.0295567 -0.766452 0 -0.306085 -0.843782 0 -0.109621 -0.327591 0 -0.20945 -0.457828 0 -0.592634 -0.456105 0 -0.0801548 -0.905065 0 -0.138051 0.885121 0 -0.791264 -0.440386 0 -0.710209 -0.319449 0 -0.280396 -0.246394 0 0.755812 -0.174313 0 -0.657359 0.336754 0 -0.0817965 0.538215 0 -0.904771 0.101264 0 0.304907 0.845754 0 0.884478 -0.138509 0 0.598082 -0.39248 0 0.696884 -0.350519 0 0.0853243 -0.343605 0 0.546627 0.315345 0 0.896255 0.157739 0 0.901737 0.0564528 0 -0.501923 -0.576561 0 -0.408831 -0.593387 0 -0.367238 -0.677918 0 0.257367 0.227365 0 -0.0463136 -0.708683 0 0.796012 0.313855 0 0.460546 -0.797689 0 -0.088835 0.349938 0 -0.593432 0.405081 0 0.474978 0.766972 0 0.489711 -0.573 0 0.458616 0.578148 0 0.356244 0.0881171 0 0.581226 0.442815 0 0.753856 0.49692 0 0.671816 0.599181 0 0.225038 -0.256662 0 0.537811 -0.746535 0 -0.0461216 0.902126 0 -0.805673 0.433963 0 -0.644716 0.660995 0 -0.651463 -0.174912 0 0.867315 -0.315677 0 0.554834 -0.471801 0 -0.513884 0.745398 0 -0.464848 0.575671 0 0.205848 -0.901879 0 -0.4 0.241432 0 0.102242 -0.913821 0 -0.919503 -0.0920102 0 -0.680833 -0.608949 0 0.627834 0.273445 0 0.190168 -0.788302 0 0.62532 -0.215426 0 -0.782533 -0.159049 0 0.774703 0.184882 0 0.131212 0.903853 0 -0.216124 0.414183 0 -0.217963 -0.651246 0 -0.270646 -0.516559 0 -0.214048 0.660877 0 -0.0787419 0.622128 0 0.611798 -0.0415255 0 0.519311 -0.117403 0 0.0196661 0.71277 0 -0.644831 -0.26807 0 -0.529393 0.0812959 0 -0.441762 -0.0344663 0 -0.891925 0.275122 0 -0.258529 0.173812 0 0.348433 -0.848745 0 0.839856 0.38292 0 -0.556048 0.575503 0 0.25975 -0.329779 0 -0.715308 0.600215 0 -0.426168 0.831271 0 0.259208 0.625531 0 0.288589 0.5456 0 0.670031 -0.635714 0 0.505651 0.153387 0 -0.0853734 -0.627183 0 0.87625 0.308128 0 0.680042 -0.147595 0 -0.174828 0.257078 0 -0.779569 0.156746 0 -0.915175 0.180795 0 -0.873238 -0.290883 0 -0.0439291 -0.473427 0 -0.255874 -0.17097 0 -0.165583 -0.910967 0 0.159982 0.719203 0 0.0194008 0.799979 0 -0.4 -0.249493 0 0.385961 0.849286 0 0.450319 -0.0283311 0 0.174799 -0.659345 0 0.100914 -0.517405 0 0.0807506 -0.621707 0 0.170949 0.379109 0 -0.576931 0.699524 0 -0.247867 -0.898882 0 0.536822 0.720255 0 -0.652073 0.187722 0 -0.636664 0.0814037 0 -0.150362 0.497518 0 -0.17686 -0.383215 0 -0.203296 -0.748865 0 -0.136545 -0.789874 0 -0.53102 -0.294626 0 -0.529257 -0.160925 0 -0.745586 0.38769 0 -0.275834 0.328313 0 0.638534 -0.505123 0 -0.818916 0.00599643 0 -0.922947 -0.186578 0 -0.527798 -0.501663 0 0.506754 0.249462 0 -0.151892 -0.50716 0 0.620717 0.1432 0 0.784363 -0.281826 0 0.666365 0.209646 0 -0.135583 0.673349 0 0.12649 0.828253 0 0.27732 -0.470829 0 -0.733198 0.31436 0 -0.789559 0.265234 0 0.253518 0.788617 0 0.278182 0.470331 0 0.304076 -0.742701 0 0.408454 -0.698989 0 0.719222 0.0705884 0 -0.34397 0.876421 0 0.323669 0.704147 0 0.401606 0.684973 0 0.75307 0.570428 0 0.831453 -0.0227949 0 0.837969 -0.417509 0 -0.4 0.540709 0 0.278054 0.297976 0 -0.276656 -0.328787 0 -0.522963 0.329008 0 -0.677703 0.507816 0 0.0249849 -0.693751 0 0.545452 -0.618614 0 -0.414286 0.168231 0 0.378035 0.242974 0 0.203336 0.917646 0 0.909025 -0.205715 0 0.70551 0.340344 0 0.704901 0.444845 0 0.810555 0.451054 0 0.0469118 0.568752 0 -0.133884 0.812006 0 -0.348473 0.733027 0 -0.441828 0.674131 0 -0.649897 -0.67646 0 0.4 0.537486 0 -0.322799 0.655043 0 0.914689 0.226799 0 0.217527 -0.546183 0 0.0131564 0.940333 0 -0.782652 -0.511236 0 -0.265991 -0.784086 0 -0.329577 0.555632 0 -0.660541 -0.478206 0 0.501547 0.0502019 0 -0.394884 -0.119167 0 -0.307189 -0.107504 0 0.5248 0.492242 0 0.291563 0.0579955 0 -0.767565 -0.281039 0 -0.562434 -0.744138 0 0.318091 -0.946749 0 -0.740353 0.0684826 0 -0.0201102 0.439353 0 -0.4499 -0.818565 0 -0.847629 0.141323 0 0.194897 0.656797 0 -0.330383 0.246416 0 -0.302015 0.114545 0 0.158106 -0.410902 0 0.229093 -0.405972 0 -0.871588 0.340146 0 -0.379217 0.11003 0 0.0158515 -0.434624 0 0.155002 -0.270768 0 0.29545 -0.269661 0 0.270014 0.156337 0 0.397062 0.14273 0 -0.498356 0.2657 0 -0.148314 0.399141 0 -0.869227 -0.144099 0 -0.7478 -0.375536 0 -0.871649 -0.367431 0 -0.583069 0.0403796 0 -0.15423 -0.6251 0 -0.266002 0.779902 0 -0.206333 0.905525 0 -0.278827 0.8935 0 0.0478354 0.240485 0 0.0403635 0.310599 0 -0.0478354 -0.240485 0 0.83465 0.0451607 0 0.737059 -0.404241 0 0.382405 -0.151474 0 -0.0333055 0.309846 0 0.820602 -0.158055 0 0.192332 0.241483 0 -0.21126 -0.237374 0 -0.147639 -0.272784 0 0.239117 0.367054 0 -0.0433807 -0.30911 0 -0.62529 0.464879 0 0.584917 0.0282284 0 0.240485 -0.0478354 0 0.311184 -0.0357383 0 0.562757 0.379398 0 0.511169 -0.273585 0 0.545642 -0.351906 0 0.644496 -0.278583 0 -0.408491 0.0273882 0 0.47335 -0.7331 0 0.187952 0.77924 0 -0.552797 0.20859 0 -0.637466 0.252295 0 0.589713 0.509426 0 -0.3759 -0.850904 0 -0.341261 -0.738828 0 -0.417103 -0.721488 0 0.796142 -0.603054 0 0.76295 -0.530846 0 -0.411127 -0.183793 0 -0.591996 0.339669 0 0.17252 -0.725011 0 -0.111209 -0.84887 0 -0.52074 0.14662 0 0.604527 0.601698 0 0.0429594 -0.831852 0 0.239834 -0.646095 0 0.335672 -0.554107 0 0.0942397 -0.763381 0 0.781541 0.248052 0 0.147845 0.477361 0 0.269198 -0.899241 0 0.0282545 -0.309936 0 -0.510367 0.53151 0 -0.101004 0.757881 0 -0.128286 0.300224 0 -0.0265937 0.756234 0 -0.240485 0.0478354 0 -0.584777 0.634434 0 0.510972 0.612918 0 0.428698 0.0338144 0 -0.0206525 0.565987 0 0.0434492 0.450957 0 0.835148 0.169826 0 0.23664 -0.195132 0 0.279436 -0.138331 0 0.252232 0.87903 0 0.318091 0.946749 0 0.446544 0.825513 0 -0.237106 -0.401324 0 -0.517958 -0.699542 0 0.0830248 0.696711 0 -0.512886 -0.637668 0 -0.712673 -0.164309 0 -0.768681 -0.0985853 0 -0.689616 -0.0392388 0 -0.691199 0.0305538 0 -0.790065 -0.223088 0 0.643201 0.435461 0 0.0749606 0.931077 0 0.312471 0.766212 0 0.386873 -0.0656845 0 0.403877 -0.821872 0 -0.526189 -0.0729484 0 -0.578806 -0.0321184 0 -0.315023 -0.0065082 0 0.626102 -0.337493 0 -0.646124 -0.0849819 0 -0.48451 0.80313 0 0.251078 -0.775384 0 0.169485 -0.849028 0 0.704632 0.533152 0 -0.4 -0.486603 0 -0.358524 -0.551504 0 -0.240485 -0.0478354 0 0.148602 0.283863 0 0.317698 0.23519 0 0.733405 -0.117058 0 -0.0869856 -0.754217 0 -0.621315 -0.622519 0 0.333854 -0.614768 0 -0.0115895 0.852188 0 0.34719 -0.237343 0 -0.205581 0.788478 0 -0.219518 0.721712 0 0.433504 -0.546509 0 0.430961 0.632014 0 0.141121 -0.470389 0 0.461831 -0.237731 0 0.276062 -0.531231 0 -0.379531 0.679583 0 0.16693 0.60328 0 0.0661509 0.626792 0 -0.325 0.443301 0 -0.291433 0.50681 0 -0.189898 0.543388 0 0.507142 -0.512663 0 -0.325 -0.443301 0 0.660742 0.0949875 0 0.75591 0.118817 0 -0.745744 0.449633 0 0.583018 0.810929 0 0.622536 -0.447283 0 -0.340518 -0.235579 0 0.732141 0.679327 0 0.659429 0.66332 0 0.660863 0.748849 0 0.565568 -0.0794808 0 -0.173432 0.983584 0 -0.0996742 0.934647 0 0.0650302 0.377407 0 0.725083 -0.484782 0 0.0501121 -0.942851 0 -0.469487 0.0327542 0 -0.0435866 -0.584931 0 -0.259875 -0.575407 0 -0.28001 -0.651516 0 0.561235 -0.236439 0 0.556353 -0.163549 0 0.473179 -0.154462 0 -0.661219 -0.359451 0 -0.63291 -0.412024 0 -0.542046 -0.355125 0 -0.563845 -0.606791 0 -0.139706 -0.566395 0 0.0383539 -0.578382 0 -0.939988 -0.0349485 0 -0.588486 -0.165954 0 0.902147 -0.265998 0 -0.724935 0.1874 0 0.596337 0.728268 0 0.987602 -0.148857 0 0.938788 -0.116295 0 -0.0471289 -0.41215 0 -0.588091 -0.282058 0 0.636368 0.552218 0 0.612024 -0.612902 0 0.531717 0.782268 0 -0.055307 0.486067 0 -0.736893 -0.469726 0 -0.268149 -0.457913 0 -0.737987 -0.583871 0 -0.786348 -0.0427154 0 -0.900431 -0.239845 0 0.410776 -0.910373 0 0.32296 -0.797101 0 0.709235 0.0131852 0 0.426179 -0.642236 0 -0.85329 0.397355 0 0.934065 0.108994 0 0.0533698 -0.391238 0 -0.448583 -0.547384 0 -0.0358832 -0.864212 0 -0.0270008 -0.937471 0 -0.21723 0.593774 0 -0.662073 -0.55421 0 0.562783 0.26056 0 0.680214 0.39174 0 0.536463 -0.674869 0 0.594326 -0.730987 0 0.648161 -0.688449 0 -0.937326 0.0491632 0 -0.876353 -0.0513345 0 -0.8572 0.0484773 0 0.85223 0.520787 0 0.937854 0.00557343 0 0.997515 -0.0497839 0 -0.100497 -0.482016 0 0.100303 -0.288188 0 -0.46083 -0.615594 0 0.230455 0.503724 0 0.704219 -0.199829 0 -0.556669 -0.410961 0 0.475 -0.443301 0 -0.0507989 0.391822 0 -0.364887 -0.929717 0 -0.265147 0.44899 0 0.497276 -0.0632151 0 -0.622715 0.78086 0 -0.570068 0.756353 0 0.639876 -0.561614 0 0.739896 -0.591715 0 -0.993794 0.0994441 0 0.124189 0.991006 0 -0.254169 0.54887 0 0.34434 0.542172 0 -0.0746372 -0.995964 0 0.85223 -0.520787 0 0.565184 0.148116 0 0.757781 -0.231337 0 0.157185 -0.524826 0 0.747542 -0.324983 0 0.722468 0.205723 0 -0.214251 0.21786 0 -0.225101 0.303416 0 0.4 -0.313397 0 0.0729222 0.814204 0 -0.335819 -0.795376 0 -0.610815 0.520562 0 -0.475 0.443301 0 -0.544853 0.436797 0 -0.613598 -0.719905 0 0.536528 0.663545 0 0.204012 -0.601646 0 0.424674 0.738158 0 0.997515 0.0497839 0 0.305497 0.112581 0 -0.845034 -0.418869 0 -0.954385 -0.294389 0 0.664272 -0.0223264 0 0.651069 -0.10103 0 0.755153 -0.0488088 0 0.77949 0.0678374 0 -0.786278 0.210832 0 -0.838498 0.294105 0 -0.268548 0.660288 0 -0.46539 0.146968 0 0.854154 -0.0723337 0 0.484375 0.529545 0 0.450843 0.151209 0 0.431644 0.260174 0 -0.613214 -0.508247 0 -0.184036 0.855688 0 -0.0960684 0.850838 0 -0.154817 -0.45233 0 -0.205445 -0.511399 0 -0.64918 0.133866 0 0.653728 -0.386203 0 -0.821997 -0.268829 0 -0.0318663 -0.532892 0 0.0497509 -0.476061 0 0.422944 -0.75021 0 0.0999925 0.583366 0 0.0907291 -0.569536 0 -0.173086 0.447835 0 -0.00845882 -0.818803 0 0.843619 -0.363993 0 0.875197 0.00920003 0 0.253044 0.423983 0 -0.475 -0.443301 0 -0.585303 0.092982 0 -0.0864218 -0.375817 0 -0.291316 0.840249 0 -0.254232 -0.835296 0 -0.301411 -0.89715 0 -0.0202159 0.676035 0 -0.152119 0.935654 0 -0.252803 0.375993 0 0.343928 0.882063 0 0.346918 0.813462 0 0.325 0.356699 0 0.156655 -0.930494 0 0.124189 -0.991006 0 -0.551151 -0.551649 0 0.715017 0.62944 0 0.0478354 -0.240485 0 0.329513 -0.155928 0 0.285602 -0.694211 0 -0.551465 0.37328 0 0.967873 -0.246451 0 0.49909 0.101974 0 -0.998757 1.249e-16 0 0.475 -0.356699 0 -0.87713 -0.477659 0 0.4 -0.486603 0 0.283237 -0.0851517 0 0.899849 0.433344 0 0.321666 -0.894157 0 -0.291121 0.0628618 0 0.677099 0.294788 0 -0.440763 -0.767573 0 -0.288514 0.215994 0 -0.804704 0.491188 0 -0.825212 0.56262 0 -0.87713 0.477659 0 -0.757785 0.566355 0 -0.802448 -0.390395 0 -0.823186 -0.480215 0 0.38763 0.192867 0 -0.524396 -0.212118 0 -0.477871 -0.162896 0 -0.450796 -0.261262 0 -0.704538 0.356912 0 0.610221 0.0759295 0 0.303912 0.654611 0 0.375736 0.582191 0 -0.0324646 -0.761985 0 -0.648242 0.392294 0 -0.674019 0.288258 0 0.323539 0.0157685 0 -0.374299 0.7767 0 -0.605144 0.211044 0 0.879963 0.106066 0 -0.491211 0.696262 0 -0.447078 0.262075 0 0.132094 -0.629733 0 -0.29354 -0.0556438 0 0.804743 0.501847 0 0.0794525 -0.867881 0 -0.437962 0.621306 0 -0.475 -0.356699 0 0.361254 -0.718756 0 0.16162 0.428758 0 0.0882505 0.479398 0 -0.455644 -0.888766 0 -0.0784022 0.28141 0 -0.374519 0.828427 0 -0.777666 0.0347645 0 0.987602 0.148857 0 -0.136224 -0.203873 0 0.0582225 0.519922 0 0.152562 0.553834 0 0.4 0.313397 0 0.4 0.486603 0 -0.4 0.486603 0 -0.4 -0.313397 0 -0.4 0.313397 0 0.325 0.443301 0 0.325 -0.356699 0 0.475 0.443301 0 0.425 0.512044 0 0.4874 0.489422 0 0.467188 0.508074 0 0.425 0.486603 0 0.475 0.356699 0 0.523313 0.357673 0 0.540613 0.421408 0 0.5124 0.446121 0 0.531379 0.389699 0 0.498313 0.314371 0 0.478377 0.28143 0 0.440822 0.286786 0 0.425 0.313397 0 0.314027 0.305687 0 0.364018 0.278186 0 0.333849 0.274294 0 0.3375 0.335048 0 0.375 0.313397 0 0.289091 0.435166 0 0.269559 0.383527 0 0.276522 0.411992 0 0.3125 0.378349 0 0.3125 0.421651 0 0.319294 0.516101 0 0.314091 0.478467 0 0.375 0.512044 0 0.34717 0.514387 0 0.375 0.486603 0 0.3375 0.464952 0 0.203873 0.136224 0 0.223395 0.166557 0 0.106209 0.379135 0 0.137538 0.403936 0 0.125986 0.453062 0 0.598282 0.238599 0 0.53719 0.17857 0 0.537742 0.226608 0 0.617548 0.206699 0 0.565757 0.232157 0 0.231615 0.59058 0 0.246305 0.550615 0 0.175934 0.516495 0 0.217239 0.529677 0 0.231187 0.26709 0 0.187978 0.342962 0 0.241531 0.302396 0 0.222062 0.336935 0 0.588142 0.340076 0 0.605442 0.403811 0 0.628745 0.319126 0 0.596207 0.372102 0 0.636429 0.400134 0 0.303738 0.625266 0 0.318428 0.5853 0 0.389614 0.628507 0 0.346303 0.583586 0 0.362001 0.603596 0 0.347517 0.133122 0 0.358412 0.21055 0 0.304401 0.167232 0 0.367926 0.160428 0 0.328244 0.206658 0 0.322143 0.145354 0 0.36321 0.185497 0 0.537066 0.527686 0 0.569522 0.536278 0 0.530152 0.588024 0 0.592849 0.557674 0 0.516853 0.546338 0 0.474698 0.179288 0 0.47525 0.227326 0 0.41089 0.224082 0 0.447294 0.178199 0 0.437694 0.232682 0 0.415687 0.199028 0 0.189141 0.414685 0 0.242757 0.460296 0 0.223225 0.408658 0 0.177589 0.463811 0 0.218894 0.476993 0 0.230188 0.437122 0 0.184476 0.43951 0 0.58723 0.294395 0 0.526691 0.282404 0 0.554692 0.347371 0 0.554705 0.287953 0 0.267711 0.26267 0 0.26369 0.191851 0 0.287533 0.231277 0 0.429308 0.557817 0 0.484794 0.595533 0 0.444788 0.605081 0 0.471495 0.553847 0 0.417176 0.580169 0 0.553013 0.467528 0 0.571992 0.411106 0 0.58547 0.47612 0 0.612214 0.439138 0 0.595308 0.267003 0 0.273899 0.585566 0 0.213069 0.614405 0 0.283385 0.507966 0 0.259522 0.524662 0 0.316464 0.543886 0 0.506203 0.201425 0 0.478247 0.152298 0 0.205033 0.373082 0 0.159776 0.331486 0 0.166285 0.403933 0 0.534769 0.255011 0 0.469199 0.254818 0 0.254319 0.487028 0 0.265613 0.447157 0 0.301591 0.456816 0 0.258586 0.332515 0 0.297876 0.266583 0 0.301527 0.327338 0 0.347867 0.239082 0 0.404839 0.251574 0 0.382833 0.217921 0 0.389018 0.278186 0 0.37217 0.539829 0 0.442188 0.533516 0 0.387868 0.559839 0 0.4 0.512044 0 0.557257 0.500834 0 0.504588 0.510894 0 0.293856 0.195764 0 0.246081 0.395519 0 0.282059 0.361876 0 0.616457 0.472443 0 0.55775 0.607308 0 0.18915 0.490543 0 0.154733 0.453059 0 0.470967 0.622466 0 0.497674 0.571232 0 0.403349 0.607102 0 0.360038 0.562181 0 0.474966 0.126591 0 0.419236 0.172038 0 0.415822 0.286786 0 -0.375 0.513656 0 -0.339788 0.521117 0 -0.3375 0.464952 0 -0.320717 0.496707 0 -0.375 0.486603 0 -0.325 0.356699 0 -0.287917 0.364156 0 -0.3125 0.421651 0 -0.282574 0.424495 0 -0.276402 0.387997 0 -0.375 0.277415 0 -0.312917 0.320855 0 -0.340191 0.279907 0 -0.375 0.313397 0 -0.475 0.356699 0 -0.486481 0.321203 0 -0.474178 0.289549 0 -0.448539 0.287736 0 -0.425 0.313397 0 -0.511481 0.364504 0 -0.4875 0.421651 0 -0.522426 0.418399 0 -0.525733 0.38664 0 -0.457424 0.531137 0 -0.425 0.513656 0 -0.480184 0.509056 0 -0.4625 0.464952 0 -0.425 0.486603 0 -0.133254 0.444769 0 -0.4912 0.612331 0 -0.5368 0.612247 0 -0.477758 0.635148 0 -0.155157 0.54677 0 -0.641795 0.615893 0 -0.597461 0.573147 0 -0.658288 0.539303 0 -0.611825 0.602612 0 -0.392549 0.579366 0 -0.413463 0.646077 0 -0.353949 0.636533 0 -0.357337 0.586827 0 -0.41153 0.619664 0 -0.134334 0.343592 0 -0.197979 0.375715 0 -0.177331 0.297162 0 -0.164074 0.368194 0 -0.202468 0.320331 0 -0.216318 0.35662 0 -0.549362 0.302647 0 -0.537059 0.270993 0 -0.564279 0.242438 0 -0.583879 0.307978 0 -0.590453 0.243666 0 -0.37013 0.209377 0 -0.299394 0.175567 0 -0.377273 0.172777 0 -0.335321 0.211869 0 -0.359738 0.143676 0 -0.314387 0.196658 0 -0.223109 0.456139 0 -0.190228 0.497807 0 -0.260764 0.502453 0 -0.209996 0.520741 0 -0.247621 0.473543 0 -0.242131 0.523482 0 -0.20159 0.472965 0 -0.440926 0.220623 0 -0.448069 0.184023 0 -0.490103 0.232757 0 -0.517324 0.204202 0 -0.464465 0.230945 0 -0.298419 0.628238 0 -0.301807 0.578532 0 -0.264103 0.575151 0 -0.214983 0.256313 0 -0.265486 0.29193 0 -0.29276 0.250982 0 -0.24012 0.279482 0 -0.271826 0.235771 0 -0.558273 0.534084 0 -0.592894 0.478771 0 -0.535433 0.512087 0 -0.585657 0.506613 0 -0.517749 0.467982 0 -0.552675 0.46473 0 -0.609361 0.43498 0 -0.592714 0.372375 0 -0.569142 0.420939 0 -0.572448 0.389181 0 -0.620837 0.398688 0 -0.680012 0.630605 0 -0.510448 0.575587 0 -0.432424 0.55819 0 -0.487607 0.55359 0 -0.451405 0.598488 0 -0.407143 0.204831 0 -0.365191 0.243924 0 -0.423539 0.251754 0 -0.4 0.277415 0 -0.182219 0.406662 0 -0.240636 0.431587 0 -0.194605 0.431009 0 -0.234464 0.395088 0 -0.533208 0.553507 0 -0.583432 0.548033 0 -0.696506 0.554015 0 -0.199965 0.280247 0 -0.17013 0.520453 0 -0.161724 0.472677 0 -0.303108 0.287364 0 -0.250468 0.315865 0 -0.264319 0.352153 0 -0.364788 0.54817 0 -0.418981 0.581008 0 -0.4 0.513656 0 -0.510659 0.297354 0 -0.557479 0.334338 0 -0.537214 0.351144 0 -0.644259 0.514189 0 -0.326188 0.605338 0 -0.310505 0.531221 0 -0.291873 0.552251 0 -0.309448 0.231205 0 -0.525576 0.237145 0 -0.472717 0.263888 0 -0.1607 0.423488 0 -0.618053 0.49272 0 -0.585071 0.450838 0 -0.636766 0.428586 0 -0.614731 0.295982 0 -0.57173 0.356475 0 -0.620119 0.365981 0 -0.492684 0.487406 0 -0.308217 0.475056 0 -0.295074 0.446146 0 -0.27829 0.4779 0 -0.272801 0.52784 0 -0.222033 0.546129 0 -0.235699 0.571322 0 -0.258975 0.412492 0 -0.251382 0.216927 0 -0.238952 0.339705 0 -0.509926 0.440049 0 -0.548159 0.405039 0 -0.423539 0.287736 0 0.480584 -0.293491 0 0.455915 -0.275564 0 0.425 -0.313397 0 0.4625 -0.335048 0 0.549041 -0.39624 0 0.527417 -0.4359 0 0.522821 -0.375953 0 0.4875 -0.421651 0 0.4875 -0.378349 0 0.441752 -0.516556 0 0.478571 -0.499633 0 0.4625 -0.464952 0 0.425 -0.486603 0 0.325 -0.443301 0 0.31366 -0.478716 0 0.342836 -0.520355 0 0.313031 -0.508917 0 0.375 -0.486603 0 0.279875 -0.36489 0 0.28866 -0.435415 0 0.264546 -0.402986 0 0.3125 -0.378349 0 0.304875 -0.321588 0 0.322725 -0.291529 0 0.348595 -0.27537 0 0.375 -0.313397 0 0.3375 -0.335048 0 0.233805 -0.145401 0 0.701933 -0.30392 0 0.484836 -0.620293 0 0.444208 -0.683288 0 0.512707 -0.6431 0 0.45307 -0.654911 0 0.660469 -0.47413 0 0.613916 -0.170974 0 0.536615 -0.565235 0 0.569177 -0.514635 0 0.611027 -0.531296 0 0.564486 -0.588042 0 0.545331 -0.535067 0 0.202133 -0.29732 0 0.219489 -0.333878 0 0.168667 -0.37444 0 0.204161 -0.371975 0 0.603028 -0.255539 0 0.545953 -0.284618 0 0.563189 -0.323779 0 0.612616 -0.287117 0 0.60342 -0.316572 0 0.570986 -0.266045 0 0.24764 -0.568902 0 0.306712 -0.572864 0 0.305803 -0.603195 0 0.276907 -0.561427 0 0.262058 -0.228249 0 0.297263 -0.234749 0 0.289256 -0.169084 0 0.323134 -0.21859 0 0.314295 -0.177883 0 0.510695 -0.237096 0 0.486026 -0.219169 0 0.535728 -0.218523 0 0.4917 -0.177534 0 0.24014 -0.471493 0 0.210243 -0.50917 0 0.180533 -0.44153 0 0.216026 -0.439065 0 0.239511 -0.501694 0 0.364099 -0.573663 0 0.36319 -0.603993 0 0.413015 -0.569864 0 0.409352 -0.617727 0 0.393497 -0.184077 0 0.375889 -0.227011 0 0.43321 -0.227205 0 0.438884 -0.185571 0 0.402294 -0.265039 0 0.35794 -0.127236 0 0.380082 -0.658846 0 0.576458 -0.43214 0 0.571862 -0.372193 0 0.612092 -0.364986 0 0.610309 -0.419881 0 0.625905 -0.389342 0 0.67069 -0.314551 0 0.661493 -0.344006 0 0.121715 -0.377254 0 0.517581 -0.595807 0 0.461607 -0.559755 0 0.498426 -0.542832 0 0.457945 -0.607618 0 0.242394 -0.293221 0 0.260244 -0.263162 0 0.596684 -0.488462 0 0.530988 -0.492232 0 0.588685 -0.459542 0 0.514917 -0.457551 0 0.590836 -0.189487 0 0.244422 -0.367875 0 0.2776 -0.29972 0 0.292375 -0.343239 0 0.630535 -0.476203 0 0.681809 -0.494952 0 0.253206 -0.438401 0 0.276691 -0.50103 0 0.246794 -0.538707 0 0.193599 -0.408437 0 0.32132 -0.253502 0 0.384639 -0.108579 0 0.364797 -0.194408 0 0.427792 -0.152968 0 0.355959 -0.153701 0 0.528405 -0.312745 0 0.4865 -0.255658 0 0.536202 -0.255012 0 0.493084 -0.315142 0 0.585872 -0.344699 0 0.510321 -0.354302 0 0.286844 -0.630431 0 0.334763 -0.584437 0 0.384588 -0.550308 0 0.305867 -0.542669 0 0.367836 -0.520355 0 0.258038 -0.166731 0 0.639915 -0.361848 0 0.380016 -0.628502 0 0.373595 -0.27537 0 0.338351 -0.196636 0 0.470323 -0.529586 0 0.429841 -0.594372 0 0.416752 -0.516556 0 0.467505 -0.196096 0 0.430915 -0.275564 0 0.491071 -0.477982 0 0.638132 -0.416743 0 0.558794 -0.199994 0 0.514766 -0.159005 0 -0.325 -0.356699 0 -0.315198 -0.279896 0 -0.375 -0.281445 0 -0.313328 -0.321092 0 -0.345259 -0.274488 0 -0.375 -0.313397 0 -0.288328 -0.364394 0 -0.268553 -0.400662 0 -0.3125 -0.421651 0 -0.284074 -0.428957 0 -0.310323 -0.501581 0 -0.375 -0.486603 0 -0.354262 -0.519053 0 -0.3375 -0.464952 0 -0.309074 -0.472258 0 -0.488899 -0.494133 0 -0.425 -0.486603 0 -0.449292 -0.516994 0 -0.4625 -0.464952 0 -0.521023 -0.377562 0 -0.528334 -0.40548 0 -0.4875 -0.421651 0 -0.4875 -0.378349 0 -0.49051 -0.304012 0 -0.450398 -0.28733 0 -0.4625 -0.335048 0 -0.425 -0.313397 0 -0.719062 -0.271991 0 -0.686373 -0.246301 0 -0.440115 -0.148009 0 -0.141975 -0.404198 0 -0.478068 -0.719183 0 -0.435041 -0.632761 0 -0.414245 -0.675027 0 -0.489605 -0.685839 0 -0.487069 -0.654902 0 -0.461041 -0.643865 0 -0.209468 -0.608089 0 -0.176433 -0.536047 0 -0.609662 -0.245898 0 -0.552756 -0.259176 0 -0.551874 -0.192325 0 -0.581292 -0.252892 0 -0.549444 -0.217922 0 -0.157314 -0.317203 0 -0.242702 -0.276605 0 -0.190934 -0.345015 0 -0.240832 -0.317801 0 -0.208134 -0.272095 0 -0.221057 -0.35407 0 -0.312758 -0.21053 0 -0.300497 -0.172818 0 -0.370002 -0.146916 0 -0.378124 -0.179229 0 -0.342819 -0.205122 0 -0.361643 -0.596647 0 -0.340847 -0.638912 0 -0.292551 -0.558233 0 -0.33649 -0.575705 0 -0.287165 -0.587657 0 -0.623106 -0.303518 0 -0.566201 -0.316796 0 -0.617145 -0.375495 0 -0.571714 -0.347045 0 -0.594736 -0.310512 0 -0.579025 -0.374963 0 -0.436505 -0.231791 0 -0.502015 -0.254358 0 -0.442069 -0.198941 0 -0.498703 -0.213104 0 -0.47544 -0.188493 0 -0.461903 -0.237676 0 -0.193155 -0.420521 0 -0.180671 -0.482494 0 -0.223278 -0.429576 0 -0.238799 -0.45787 0 -0.182134 -0.455079 0 -0.207448 -0.484613 0 -0.560216 -0.478884 0 -0.626587 -0.467155 0 -0.612772 -0.434064 0 -0.574651 -0.433533 0 -0.602924 -0.482176 0 -0.268135 -0.208682 0 -0.278526 -0.287591 0 -0.245828 -0.241884 0 -0.310457 -0.240987 0 -0.514861 -0.539112 0 -0.507405 -0.607115 0 -0.532884 -0.591676 0 -0.475253 -0.561973 0 -0.481377 -0.596078 0 -0.526537 -0.564105 0 -0.388035 -0.635652 0 -0.383678 -0.572445 0 -0.428707 -0.570386 0 -0.43483 -0.60449 0 -0.648147 -0.221491 0 -0.238919 -0.613327 0 -0.314585 -0.534032 0 -0.265261 -0.545983 0 -0.269398 -0.487236 0 -0.238046 -0.513979 0 -0.653025 -0.313761 0 -0.233567 -0.204172 0 -0.405564 -0.216643 0 -0.370259 -0.242536 0 -0.425398 -0.255377 0 -0.4 -0.281445 0 -0.206983 -0.39227 0 -0.165839 -0.417772 0 -0.131641 -0.379516 0 -0.536533 -0.324875 0 -0.559556 -0.288342 0 -0.527708 -0.253372 0 -0.490908 -0.277944 0 -0.50301 -0.325662 0 -0.488191 -0.524524 0 -0.542233 -0.456312 0 -0.570506 -0.504955 0 -0.501399 -0.472482 0 -0.539474 -0.526656 0 -0.153355 -0.479745 0 -0.178669 -0.50928 0 -0.256881 -0.365056 0 -0.646725 -0.445115 0 -0.351036 -0.113336 0 -0.17945 -0.255079 0 -0.173742 -0.220624 0 -0.375823 -0.209686 0 -0.444499 -0.173344 0 -0.252627 -0.429619 0 -0.379262 -0.519053 0 -0.424292 -0.516994 0 -0.403554 -0.549444 0 -0.296574 -0.450607 0 -0.269943 -0.613461 0 -0.23266 -0.543403 0 -0.594789 -0.411492 0 -0.549358 -0.383043 0 -0.508523 -0.355912 0 -0.236797 -0.484656 0 -0.454707 -0.581489 0 -0.127657 -0.467173 0 -0.515834 -0.427131 0 -0.582182 -0.529948 0 -0.501133 -0.187507 0 -0.425398 -0.28733 0 0.4625 0.464952 0 0.4375 0.499323 0 0.4687 0.488012 0 0.4375 0.486603 0 0.446094 0.510059 0 0.4875 0.421651 0 0.4875 0.378349 0 0.511657 0.378836 0 0.520307 0.410704 0 0.5062 0.42306 0 0.515689 0.394849 0 0.4625 0.335048 0 0.474157 0.313884 0 0.464189 0.297414 0 0.445411 0.300092 0 0.4375 0.313397 0 0.357009 0.295792 0 0.341925 0.293846 0 0.34375 0.324223 0 0.3625 0.313397 0 0.325764 0.320367 0 0.294546 0.417583 0 0.284779 0.391763 0 0.288261 0.405996 0 0.30625 0.389175 0 0.30625 0.410825 0 0.291029 0.380938 0 0.334647 0.501352 0 0.332046 0.482535 0 0.3625 0.499323 0 0.3625 0.486603 0 0.34375 0.475777 0 0.283637 0.452749 0 0.296137 0.474399 0 0.371026 0.26058 0 0.4125 0.524765 0 0.3875 0.524765 0 0.421094 0.535501 0 0.260588 0.364465 0 0.543035 0.368535 0 0.45501 0.270802 0 0.423733 0.27348 0 0.33125 0.345873 0 0.31875 0.367524 0 0.313264 0.342018 0 0.303529 0.359288 0 0.4125 0.313397 0 0.382009 0.295792 0 0.3875 0.313397 0 0.394509 0.295792 0 0.407911 0.300092 0 0.4125 0.499323 0 0.4125 0.486603 0 0.3875 0.499323 0 0.3875 0.486603 0 0.4 0.499323 0 0.307046 0.439233 0 0.31875 0.432476 0 0.319546 0.460884 0 0.33125 0.454127 0 0.313296 0.450059 0 0.4812 0.466362 0 0.4937 0.444711 0 0.425 0.499323 0 0.4125 0.512044 0 0.4999 0.467772 0 0.499157 0.357186 0 0.486657 0.335535 0 0.527346 0.373686 0 0.510813 0.336022 0 0.526507 0.433764 0 0.535996 0.405553 0 0.546813 0.444468 0 0.551685 0.400403 0 0.488345 0.297901 0 0.4596 0.284108 0 0.502534 0.281917 0 0.432911 0.300092 0 0.428322 0.286786 0 0.420411 0.300092 0 0.369509 0.295792 0 0.355942 0.258634 0 0.376518 0.278186 0 0.319514 0.331193 0 0.282807 0.423579 0 0.300796 0.428408 0 0.295341 0.445991 0 0.27304 0.397759 0 0.275809 0.372702 0 0.271068 0.429575 0 0.261301 0.403755 0 0.297279 0.370113 0 0.325796 0.471709 0 0.298738 0.493216 0 0.307841 0.467642 0 0.375 0.499323 0 0.3875 0.512044 0 0.280056 0.329926 0 0.291793 0.344607 0 0.410331 0.26918 0 0.40242 0.282486 0 -0.3625 0.500129 0 -0.34375 0.475777 0 -0.3625 0.486603 0 -0.329108 0.480829 0 -0.3125 0.378349 0 -0.293958 0.382078 0 -0.30625 0.410825 0 -0.291287 0.412247 0 -0.288201 0.393998 0 -0.3375 0.335048 0 -0.3625 0.295406 0 -0.331458 0.317126 0 -0.345096 0.296652 0 -0.3625 0.313397 0 -0.4625 0.335048 0 -0.468241 0.3173 0 -0.462089 0.301473 0 -0.44927 0.300567 0 -0.4375 0.313397 0 -0.4875 0.378349 0 -0.505741 0.382252 0 -0.49375 0.410825 0 -0.511213 0.409199 0 -0.512866 0.39332 0 -0.453712 0.50887 0 -0.4375 0.500129 0 -0.45625 0.475777 0 -0.4375 0.486603 0 -0.471342 0.487004 0 -0.3875 0.259424 0 -0.3875 0.527182 0 -0.4125 0.527182 0 -0.514058 0.499746 0 -0.33125 0.454127 0 -0.31875 0.432476 0 -0.316608 0.459179 0 -0.310037 0.444723 0 -0.28011 0.447568 0 -0.48125 0.432476 0 -0.46875 0.454127 0 -0.496375 0.455642 0 -0.483842 0.465354 0 -0.492463 0.441675 0 -0.531301 0.45239 0 -0.52739 0.438423 0 -0.27036 0.370075 0 -0.531473 0.368892 0 -0.435309 0.274906 0 -0.3875 0.500129 0 -0.3875 0.486603 0 -0.4125 0.500129 0 -0.4125 0.486603 0 -0.4 0.500129 0 -0.3875 0.295406 0 -0.3875 0.313397 0 -0.4125 0.313397 0 -0.4 0.295406 0 -0.41177 0.300567 0 -0.375 0.500129 0 -0.3875 0.513656 0 -0.322858 0.470004 0 -0.306458 0.360428 0 -0.318958 0.338777 0 -0.282159 0.376077 0 -0.300417 0.342506 0 -0.297537 0.423073 0 -0.303787 0.433898 0 -0.279488 0.406246 0 -0.288824 0.43532 0 -0.357596 0.278661 0 -0.375 0.295406 0 -0.3875 0.277415 0 -0.326554 0.300381 0 -0.352691 0.261915 0 -0.480741 0.338951 0 -0.493241 0.360601 0 -0.498981 0.342853 0 -0.43677 0.300567 0 -0.436039 0.287736 0 -0.42427 0.300567 0 -0.518607 0.375572 0 -0.504963 0.420025 0 -0.498713 0.43085 0 -0.524079 0.402519 0 -0.516176 0.429224 0 -0.425 0.500129 0 -0.428712 0.535923 0 -0.4125 0.513656 0 -0.477592 0.476179 0 -0.505216 0.477694 0 -0.513838 0.454016 0 -0.423539 0.269745 0 -0.41177 0.282576 0 -0.301645 0.460601 0 -0.286682 0.462023 0 0.4375 -0.313397 0 0.45625 -0.324223 0 0.471542 -0.31427 0 0.440458 -0.294481 0 0.52452 -0.39812 0 0.513709 -0.41795 0 0.51141 -0.387976 0 0.49375 -0.410825 0 0.49375 -0.389175 0 0.50516 -0.377151 0 0.445876 -0.501579 0 0.464285 -0.493118 0 0.45625 -0.475777 0 0.4375 -0.486603 0 0.470535 -0.482292 0 0.3375 -0.464952 0 0.33183 -0.482659 0 0.331515 -0.49776 0 0.3625 -0.486603 0 0.358918 -0.503479 0 0.3125 -0.421651 0 0.289938 -0.382445 0 0.29433 -0.417707 0 0.282273 -0.401493 0 0.30625 -0.389175 0 0.327438 -0.317493 0 0.3625 -0.313397 0 0.34375 -0.324223 0 0.361798 -0.294384 0 0.417752 -0.246122 0 0.541126 -0.453851 0 0.269813 -0.347334 0 0.282313 -0.325684 0 0.252086 -0.348827 0 0.547341 -0.374073 0 0.527981 -0.353104 0 0.36013 -0.552207 0 0.374742 -0.251191 0 0.409046 -0.548409 0 0.425128 -0.531533 0 0.499106 -0.495323 0 0.501209 -0.439601 0 0.48125 -0.432476 0 0.46875 -0.454127 0 0.494959 -0.450426 0 0.483035 -0.460642 0 0.4125 -0.313397 0 0.3875 -0.313397 0 0.401147 -0.289218 0 0.386798 -0.294384 0 0.415458 -0.294481 0 0.46875 -0.345873 0 0.48125 -0.367524 0 0.484042 -0.33592 0 0.49266 -0.3555 0 0.4125 -0.486603 0 0.3875 -0.486603 0 0.392294 -0.518455 0 0.383918 -0.503479 0 0.408376 -0.501579 0 0.302438 -0.360794 0 0.31875 -0.367524 0 0.314938 -0.339143 0 0.33125 -0.345873 0 0.308688 -0.349969 0 0.427958 -0.294481 0 0.477792 -0.325095 0 0.538229 -0.41607 0 0.535931 -0.386096 0 0.507459 -0.428775 0 0.551938 -0.43402 0 0.521167 -0.446726 0 0.516571 -0.365128 0 0.49891 -0.366326 0 0.460161 -0.508094 0 0.433376 -0.501579 0 0.429252 -0.516556 0 0.484821 -0.488808 0 0.476785 -0.471467 0 0.420876 -0.501579 0 0.31933 -0.461009 0 0.30683 -0.439358 0 0.30116 -0.457065 0 0.371418 -0.503479 0 0.272211 -0.383938 0 0.296188 -0.371619 0 0.286125 -0.354064 0 0.276603 -0.4192 0 0.321188 -0.328318 0 0.298625 -0.332414 0 0.374298 -0.294384 0 0.231955 -0.350877 0 0.387945 -0.270204 0 0.416605 -0.270301 0 0.511029 -0.485107 0 0.502994 -0.467767 0 0.519363 -0.333524 0 0.501703 -0.334722 0 0.376212 -0.535331 0 0.40067 -0.533432 0 -0.3375 -0.335048 0 -0.332599 -0.296647 0 -0.3625 -0.297421 0 -0.331664 -0.317245 0 -0.3625 -0.313397 0 -0.3125 -0.378349 0 -0.294164 -0.382197 0 -0.284276 -0.400331 0 -0.30625 -0.410825 0 -0.292037 -0.414478 0 -0.330162 -0.494092 0 -0.3625 -0.486603 0 -0.352131 -0.502828 0 -0.34375 -0.475777 0 -0.329537 -0.47943 0 -0.332293 -0.510317 0 -0.364631 -0.502828 0 -0.469449 -0.490368 0 -0.4375 -0.486603 0 -0.45625 -0.475777 0 -0.469095 -0.505563 0 -0.437146 -0.501798 0 -0.510512 -0.388781 0 -0.514167 -0.40274 0 -0.49375 -0.410825 0 -0.49375 -0.389175 0 -0.507917 -0.413565 0 -0.45625 -0.324223 0 -0.4375 -0.313397 0 -0.476505 -0.31953 0 -0.437699 -0.300364 0 -0.28986 -0.494408 0 -0.292616 -0.525295 0 -0.3875 -0.265469 0 -0.508348 -0.497898 0 -0.507994 -0.513093 0 -0.3875 -0.486603 0 -0.4125 -0.486603 0 -0.389631 -0.502828 0 -0.412146 -0.501798 0 -0.336555 -0.542768 0 -0.368893 -0.535279 0 -0.381039 -0.550474 0 -0.31875 -0.432476 0 -0.33125 -0.454127 0 -0.317037 -0.45778 0 -0.310787 -0.446954 0 -0.525285 -0.355518 0 -0.276112 -0.443435 0 -0.288612 -0.465085 0 -0.549451 -0.433636 0 -0.536252 -0.419046 0 -0.481949 -0.468717 0 -0.46875 -0.454127 0 -0.48125 -0.432476 0 -0.488199 -0.457892 0 -0.495417 -0.435216 0 -0.48125 -0.367524 0 -0.46875 -0.345873 0 -0.489005 -0.34118 0 -0.491762 -0.356305 0 -0.3875 -0.297421 0 -0.3875 -0.313397 0 -0.4125 -0.313397 0 -0.4 -0.297421 0 -0.412699 -0.300364 0 -0.319164 -0.338896 0 -0.306664 -0.360546 0 -0.375 -0.297421 0 -0.3875 -0.281445 0 -0.300828 -0.342743 0 -0.27844 -0.382528 0 -0.276314 -0.414809 0 -0.26059 -0.41514 0 -0.298287 -0.425304 0 -0.304537 -0.436129 0 -0.290324 -0.439782 0 -0.309699 -0.486919 0 -0.312454 -0.517806 0 -0.377131 -0.502828 0 -0.334424 -0.526542 0 -0.366762 -0.519053 0 -0.323287 -0.468605 0 -0.302824 -0.461432 0 -0.475699 -0.479542 0 -0.495149 -0.483307 0 -0.424646 -0.501798 0 -0.524679 -0.391521 0 -0.504262 -0.377956 0 -0.514773 -0.366737 0 -0.538846 -0.394261 0 -0.522084 -0.416306 0 -0.501667 -0.424391 0 -0.498012 -0.367131 0 -0.482755 -0.330355 0 -0.425199 -0.300364 0 -0.412699 -0.268411 0 -0.412699 -0.284387 0 -0.522528 -0.340393 0 -0.505767 -0.340787 0 -0.508617 -0.449806 0 -0.401777 -0.518023 0 \\\"></coordinate>\\n\",\n       \"          </indexedFaceSet>\\n\",\n       \"        </shape>\\n\",\n       \"        <shape>\\n\",\n       \"          <appearance>\\n\",\n       \"            <material emissiveColor=\\\"0.000000 0.000000 0.000000\\\" specularColor=\\\"0.000000 0.000000 0.000000\\\" ambientIntensity=\\\"0\\\" shininess=\\\"0.5\\\" transparency=\\\"0\\\"></material>\\n\",\n       \"          </appearance>\\n\",\n       \"          <indexedLineSet solid=\\\"false\\\" colorPerVertex=\\\"false\\\" coordIndex=\\\"0 610 -1 0 631 -1 0 710 -1 1 2 -1 1 286 -1 1 575 -1 1 710 -1 2 3 -1 2 286 -1 2 351 -1 3 351 -1 3 592 -1 3 657 -1 4 5 -1 4 323 -1 4 430 -1 4 657 -1 5 430 -1 5 656 -1 5 712 -1 6 7 -1 6 398 -1 6 712 -1 6 726 -1 7 8 -1 7 398 -1 7 590 -1 8 9 -1 8 287 -1 8 392 -1 8 590 -1 9 10 -1 9 392 -1 9 650 -1 10 11 -1 10 234 -1 10 408 -1 10 650 -1 11 234 -1 11 412 -1 11 753 -1 12 463 -1 12 624 -1 12 753 -1 13 14 -1 13 337 -1 13 624 -1 13 693 -1 14 15 -1 14 326 -1 14 337 -1 15 240 -1 15 326 -1 15 635 -1 16 17 -1 16 561 -1 16 602 -1 16 635 -1 17 285 -1 17 561 -1 17 701 -1 18 19 -1 18 283 -1 18 700 -1 18 701 -1 19 283 -1 19 409 -1 19 480 -1 20 307 -1 20 409 -1 20 593 -1 20 716 -1 21 22 -1 21 263 -1 21 511 -1 21 593 -1 22 23 -1 22 263 -1 22 274 -1 23 24 -1 23 274 -1 23 608 -1 23 609 -1 24 25 -1 24 315 -1 24 609 -1 25 315 -1 25 466 -1 25 630 -1 26 466 -1 26 467 -1 26 636 -1 27 28 -1 27 231 -1 27 373 -1 27 636 -1 28 29 -1 28 279 -1 28 373 -1 28 685 -1 29 279 -1 29 577 -1 29 708 -1 30 384 -1 30 580 -1 30 708 -1 31 580 -1 31 581 -1 31 615 -1 32 614 -1 32 615 -1 32 654 -1 33 598 -1 33 654 -1 33 757 -1 34 35 -1 34 255 -1 34 395 -1 34 757 -1 35 36 -1 35 318 -1 35 395 -1 36 308 -1 36 318 -1 36 715 -1 37 387 -1 37 613 -1 37 715 -1 37 746 -1 38 39 -1 38 371 -1 38 613 -1 38 746 -1 39 371 -1 39 553 -1 39 703 -1 40 553 -1 40 554 -1 40 555 -1 41 550 -1 41 555 -1 41 579 -1 42 43 -1 42 497 -1 42 550 -1 42 586 -1 43 44 -1 43 330 -1 43 497 -1 44 330 -1 44 496 -1 44 697 -1 45 46 -1 45 383 -1 45 495 -1 45 496 -1 46 293 -1 46 383 -1 46 632 -1 47 48 -1 47 397 -1 47 508 -1 47 632 -1 48 49 -1 48 275 -1 48 397 -1 48 558 -1 49 557 -1 49 558 -1 49 695 -1 50 51 -1 50 434 -1 50 435 -1 50 557 -1 50 695 -1 51 52 -1 51 368 -1 51 435 -1 52 53 -1 52 312 -1 52 368 -1 52 755 -1 53 54 -1 53 312 -1 53 517 -1 54 517 -1 54 627 -1 54 628 -1 55 56 -1 55 277 -1 55 336 -1 55 627 -1 56 57 -1 56 277 -1 56 311 -1 56 1000 -1 57 311 -1 57 722 -1 57 724 -1 58 721 -1 58 722 -1 58 723 -1 59 60 -1 59 419 -1 59 597 -1 59 723 -1 60 61 -1 60 305 -1 60 419 -1 61 62 -1 61 305 -1 61 322 -1 62 248 -1 62 322 -1 62 631 -1 63 1055 -1 63 1056 -1 63 1536 -1 63 1537 -1 63 1538 -1 63 1539 -1 64 1540 -1 64 1541 -1 64 1542 -1 64 1543 -1 64 1544 -1 64 1545 -1 65 1546 -1 65 1547 -1 65 1548 -1 65 1549 -1 65 1550 -1 66 1070 -1 66 1551 -1 66 1552 -1 66 1553 -1 66 1554 -1 66 1555 -1 67 1556 -1 67 1557 -1 67 1558 -1 67 1559 -1 67 1560 -1 68 1078 -1 68 1079 -1 68 1561 -1 68 1562 -1 68 1563 -1 68 1564 -1 69 771 -1 69 1340 -1 69 1341 -1 69 1342 -1 69 1343 -1 69 1344 -1 70 1345 -1 70 1346 -1 70 1347 -1 70 1348 -1 70 1349 -1 70 1350 -1 71 1351 -1 71 1352 -1 71 1353 -1 71 1354 -1 71 1355 -1 72 782 -1 72 1356 -1 72 1357 -1 72 1358 -1 72 1359 -1 72 1360 -1 73 1361 -1 73 1362 -1 73 1363 -1 73 1364 -1 73 1365 -1 73 1366 -1 74 795 -1 74 1367 -1 74 1368 -1 74 1369 -1 74 1370 -1 74 1371 -1 75 76 -1 75 406 -1 75 424 -1 75 655 -1 75 798 -1 76 406 -1 76 451 -1 76 452 -1 76 738 -1 77 78 -1 77 451 -1 77 494 -1 77 714 -1 77 1082 -1 78 79 -1 78 273 -1 78 422 -1 78 493 -1 78 1082 -1 79 422 -1 79 617 -1 79 704 -1 80 438 -1 80 448 -1 80 481 -1 80 704 -1 81 237 -1 81 438 -1 81 446 -1 81 448 -1 81 758 -1 82 83 -1 82 325 -1 82 445 -1 82 758 -1 82 1296 -1 82 1320 -1 83 325 -1 83 404 -1 83 523 -1 83 745 -1 84 486 -1 84 514 -1 84 523 -1 84 717 -1 84 745 -1 85 86 -1 85 306 -1 85 416 -1 85 486 -1 85 717 -1 86 87 -1 86 306 -1 86 320 -1 86 642 -1 87 88 -1 87 320 -1 87 484 -1 87 754 -1 88 436 -1 88 437 -1 88 442 -1 88 754 -1 89 90 -1 89 233 -1 89 436 -1 89 437 -1 89 444 -1 89 524 -1 90 260 -1 90 444 -1 90 798 -1 90 799 -1 91 1196 -1 91 1636 -1 91 1637 -1 91 1638 -1 91 1639 -1 91 1640 -1 92 1641 -1 92 1642 -1 92 1643 -1 92 1644 -1 92 1645 -1 93 1646 -1 93 1647 -1 93 1648 -1 93 1649 -1 93 1650 -1 93 1651 -1 93 1652 -1 94 1209 -1 94 1653 -1 94 1654 -1 94 1655 -1 94 1656 -1 94 1657 -1 95 1658 -1 95 1659 -1 95 1660 -1 95 1661 -1 95 1662 -1 96 1215 -1 96 1216 -1 96 1307 -1 96 1663 -1 96 1664 -1 96 1665 -1 96 1666 -1 97 911 -1 97 913 -1 97 1441 -1 97 1442 -1 97 1443 -1 97 1444 -1 98 1445 -1 98 1446 -1 98 1447 -1 98 1448 -1 98 1449 -1 99 1450 -1 99 1451 -1 99 1452 -1 99 1453 -1 99 1454 -1 100 1455 -1 100 1456 -1 100 1457 -1 100 1458 -1 100 1459 -1 101 1460 -1 101 1461 -1 101 1462 -1 101 1463 -1 101 1464 -1 102 935 -1 102 1465 -1 102 1466 -1 102 1467 -1 102 1468 -1 102 1469 -1 103 261 -1 103 317 -1 103 334 -1 103 379 -1 103 563 -1 103 574 -1 104 298 -1 104 301 -1 104 388 -1 104 490 -1 104 541 -1 104 694 -1 105 340 -1 105 431 -1 105 504 -1 105 505 -1 105 513 -1 105 516 -1 106 299 -1 106 367 -1 106 450 -1 106 547 -1 106 595 -1 106 658 -1 106 732 -1 107 289 -1 107 332 -1 107 365 -1 107 470 -1 107 475 -1 107 518 -1 107 706 -1 108 313 -1 108 327 -1 108 363 -1 108 369 -1 108 414 -1 108 459 -1 108 509 -1 108 733 -1 109 290 -1 109 356 -1 109 456 -1 109 620 -1 109 638 -1 109 640 -1 109 1083 -1 110 390 -1 110 394 -1 110 433 -1 110 533 -1 110 664 -1 111 259 -1 111 295 -1 111 343 -1 111 399 -1 111 464 -1 111 565 -1 112 278 -1 112 291 -1 112 407 -1 112 502 -1 112 506 -1 112 1219 -1 112 1220 -1 113 339 -1 113 361 -1 113 362 -1 113 461 -1 113 578 -1 113 662 -1 113 737 -1 114 262 -1 114 357 -1 114 385 -1 114 478 -1 114 641 -1 114 718 -1 115 269 -1 115 402 -1 115 425 -1 115 489 -1 115 668 -1 115 709 -1 115 907 -1 116 303 -1 116 381 -1 116 420 -1 116 457 -1 116 562 -1 116 665 -1 117 300 -1 117 331 -1 117 441 -1 117 510 -1 117 568 -1 117 626 -1 117 1163 -1 117 1165 -1 118 264 -1 118 341 -1 118 411 -1 118 427 -1 118 587 -1 118 623 -1 118 938 -1 119 253 -1 119 333 -1 119 417 -1 119 421 -1 119 536 -1 119 599 -1 119 679 -1 119 1141 -1 120 304 -1 120 346 -1 120 403 -1 120 512 -1 120 729 -1 120 1221 -1 121 491 -1 121 559 -1 121 751 -1 121 752 -1 121 800 -1 121 801 -1 121 802 -1 122 324 -1 122 582 -1 122 616 -1 122 673 -1 122 690 -1 122 1222 -1 122 1303 -1 122 1335 -1 123 344 -1 123 471 -1 123 527 -1 123 601 -1 123 684 -1 123 735 -1 124 328 -1 124 389 -1 124 483 -1 124 485 -1 124 530 -1 124 672 -1 125 321 -1 125 350 -1 125 410 -1 125 413 -1 125 612 -1 125 756 -1 126 401 -1 126 429 -1 126 569 -1 126 570 -1 126 588 -1 126 1317 -1 127 347 -1 127 378 -1 127 449 -1 127 549 -1 127 731 -1 127 736 -1 127 1038 -1 128 245 -1 128 372 -1 128 443 -1 128 526 -1 128 660 -1 128 666 -1 129 266 -1 129 338 -1 129 370 -1 129 488 -1 129 535 -1 129 651 -1 129 653 -1 129 903 -1 130 458 -1 130 607 -1 130 1084 -1 130 1085 -1 130 1086 -1 130 1087 -1 131 386 -1 131 462 -1 131 507 -1 131 520 -1 131 584 -1 131 899 -1 132 440 -1 132 551 -1 132 560 -1 132 676 -1 132 1088 -1 132 1157 -1 132 1189 -1 133 336 -1 133 391 -1 133 487 -1 133 742 -1 133 939 -1 133 940 -1 133 941 -1 134 465 -1 134 1223 -1 134 1224 -1 134 1225 -1 134 1226 -1 134 1227 -1 134 1228 -1 135 292 -1 135 439 -1 135 492 -1 135 548 -1 135 661 -1 135 741 -1 136 528 -1 136 572 -1 136 604 -1 136 670 -1 136 702 -1 136 1337 -1 137 432 -1 137 564 -1 137 573 -1 137 674 -1 137 1229 -1 137 1230 -1 137 1329 -1 138 247 -1 138 297 -1 138 298 -1 138 358 -1 138 544 -1 138 603 -1 138 942 -1 139 355 -1 139 637 -1 139 803 -1 139 804 -1 139 805 -1 139 806 -1 139 807 -1 140 301 -1 140 327 -1 140 328 -1 140 359 -1 140 459 -1 140 500 -1 140 645 -1 141 286 -1 141 291 -1 141 428 -1 141 503 -1 141 591 -1 141 611 -1 142 540 -1 142 760 -1 142 808 -1 142 809 -1 142 810 -1 142 811 -1 142 869 -1 143 289 -1 143 474 -1 143 477 -1 143 519 -1 143 747 -1 144 396 -1 144 639 -1 144 652 -1 144 682 -1 144 744 -1 145 299 -1 145 300 -1 145 319 -1 145 556 -1 145 567 -1 145 659 -1 145 1089 -1 146 339 -1 146 460 -1 146 472 -1 146 675 -1 146 689 -1 146 740 -1 147 585 -1 147 629 -1 147 1090 -1 147 1091 -1 147 1092 -1 147 1093 -1 147 1094 -1 148 278 -1 148 576 -1 148 1231 -1 148 1232 -1 148 1233 -1 148 1234 -1 148 1235 -1 148 1289 -1 149 307 -1 149 365 -1 149 511 -1 149 594 -1 149 680 -1 149 750 -1 150 261 -1 150 295 -1 150 317 -1 150 343 -1 150 344 -1 150 432 -1 150 527 -1 151 330 -1 151 369 -1 151 370 -1 151 497 -1 151 509 -1 151 653 -1 151 698 -1 152 311 -1 152 647 -1 152 943 -1 152 944 -1 152 945 -1 152 946 -1 152 1000 -1 152 1015 -1 153 276 -1 153 347 -1 153 361 -1 153 362 -1 153 419 -1 153 597 -1 153 663 -1 154 293 -1 154 359 -1 154 363 -1 154 383 -1 154 459 -1 154 495 -1 155 262 -1 155 271 -1 155 308 -1 155 385 -1 155 386 -1 155 387 -1 155 606 -1 156 281 -1 156 312 -1 156 390 -1 156 391 -1 156 517 -1 156 539 -1 156 739 -1 156 742 -1 157 539 -1 157 947 -1 157 948 -1 157 949 -1 157 950 -1 157 951 -1 157 1023 -1 158 326 -1 158 337 -1 158 343 -1 158 344 -1 158 399 -1 158 471 -1 158 692 -1 159 433 -1 159 434 -1 159 435 -1 159 532 -1 159 671 -1 159 691 -1 160 484 -1 160 952 -1 160 953 -1 160 954 -1 160 955 -1 160 956 -1 160 957 -1 161 253 -1 161 422 -1 161 617 -1 161 1095 -1 161 1096 -1 161 1097 -1 161 1098 -1 161 1141 -1 162 444 -1 162 524 -1 162 812 -1 162 813 -1 162 814 -1 162 815 -1 162 876 -1 163 446 -1 163 1236 -1 163 1237 -1 163 1238 -1 163 1239 -1 163 1240 -1 163 1241 -1 163 1319 -1 164 1099 -1 164 1100 -1 164 1101 -1 164 1102 -1 164 1103 -1 164 1104 -1 165 461 -1 165 958 -1 165 959 -1 165 960 -1 165 961 -1 165 962 -1 165 1039 -1 166 299 -1 166 331 -1 166 402 -1 166 450 -1 166 556 -1 166 626 -1 167 385 -1 167 606 -1 167 718 -1 167 816 -1 167 817 -1 167 818 -1 167 819 -1 167 820 -1 168 305 -1 168 321 -1 168 322 -1 168 362 -1 168 413 -1 168 662 -1 168 663 -1 169 323 -1 169 407 -1 169 429 -1 169 430 -1 169 677 -1 169 725 -1 170 245 -1 170 250 -1 170 279 -1 170 356 -1 170 384 -1 170 443 -1 170 577 -1 170 638 -1 171 475 -1 171 652 -1 171 1105 -1 171 1106 -1 171 1107 -1 171 1108 -1 171 1173 -1 172 283 -1 172 289 -1 172 307 -1 172 480 -1 172 518 -1 172 519 -1 172 594 -1 172 716 -1 173 231 -1 173 279 -1 173 356 -1 173 373 -1 173 440 -1 173 640 -1 173 685 -1 174 369 -1 174 370 -1 174 733 -1 174 821 -1 174 822 -1 174 823 -1 174 824 -1 174 825 -1 175 332 -1 175 334 -1 175 379 -1 175 470 -1 175 477 -1 175 744 -1 176 416 -1 176 963 -1 176 964 -1 176 965 -1 176 966 -1 176 967 -1 176 968 -1 177 404 -1 177 1242 -1 177 1243 -1 177 1244 -1 177 1245 -1 177 1246 -1 177 1318 -1 177 1321 -1 178 826 -1 178 827 -1 178 828 -1 178 829 -1 178 830 -1 178 831 -1 178 832 -1 178 896 -1 179 493 -1 179 1109 -1 179 1110 -1 179 1111 -1 179 1112 -1 179 1113 -1 179 1178 -1 179 1182 -1 180 304 -1 180 403 -1 180 404 -1 180 457 -1 180 514 -1 180 745 -1 180 1318 -1 181 473 -1 181 833 -1 181 834 -1 181 835 -1 181 836 -1 181 837 -1 181 900 -1 182 412 -1 182 463 -1 182 464 -1 182 465 -1 182 646 -1 182 719 -1 183 278 -1 183 502 -1 183 503 -1 183 504 -1 183 516 -1 184 291 -1 184 351 -1 184 428 -1 184 506 -1 184 592 -1 184 677 -1 185 969 -1 185 970 -1 185 971 -1 185 972 -1 185 973 -1 185 974 -1 185 975 -1 186 358 -1 186 389 -1 186 483 -1 186 532 -1 186 533 -1 187 255 -1 187 262 -1 187 292 -1 187 318 -1 187 395 -1 187 478 -1 187 492 -1 188 292 -1 188 355 -1 188 357 -1 188 367 -1 188 547 -1 188 548 -1 188 641 -1 189 565 -1 189 1247 -1 189 1248 -1 189 1249 -1 189 1250 -1 189 1251 -1 189 1291 -1 189 1328 -1 190 567 -1 190 1114 -1 190 1115 -1 190 1116 -1 190 1117 -1 190 1186 -1 190 1190 -1 190 1191 -1 191 293 -1 191 328 -1 191 359 -1 191 397 -1 191 508 -1 191 530 -1 191 645 -1 192 327 -1 192 414 -1 192 500 -1 192 540 -1 192 541 -1 192 681 -1 193 536 -1 193 639 -1 193 1118 -1 193 1119 -1 193 1120 -1 193 1121 -1 193 1122 -1 194 321 -1 194 339 -1 194 340 -1 194 410 -1 194 505 -1 194 578 -1 194 675 -1 195 278 -1 195 346 -1 195 512 -1 195 513 -1 195 516 -1 195 576 -1 196 317 -1 196 324 -1 196 354 -1 196 563 -1 196 573 -1 196 616 -1 196 678 -1 197 472 -1 197 665 -1 197 976 -1 197 977 -1 197 978 -1 197 979 -1 197 980 -1 198 569 -1 198 1252 -1 198 1253 -1 198 1254 -1 198 1255 -1 198 1256 -1 198 1257 -1 198 1295 -1 199 380 -1 199 585 -1 199 607 -1 199 608 -1 199 609 -1 200 338 -1 200 473 -1 200 554 -1 200 579 -1 200 651 -1 201 1123 -1 201 1124 -1 201 1125 -1 201 1126 -1 201 1175 -1 201 1180 -1 201 1184 -1 202 388 -1 202 411 -1 202 490 -1 202 491 -1 202 587 -1 202 759 -1 203 355 -1 203 402 -1 203 450 -1 203 637 -1 203 709 -1 203 732 -1 204 603 -1 204 664 -1 204 981 -1 204 982 -1 204 983 -1 204 1048 -1 205 642 -1 205 984 -1 205 985 -1 205 986 -1 205 987 -1 205 988 -1 205 1050 -1 206 989 -1 206 990 -1 206 991 -1 206 992 -1 206 993 -1 206 994 -1 206 1037 -1 207 269 -1 207 331 -1 207 452 -1 207 489 -1 207 510 -1 207 738 -1 208 474 -1 208 561 -1 208 601 -1 208 602 -1 208 684 -1 208 747 -1 209 350 -1 209 575 -1 209 610 -1 209 611 -1 209 612 -1 210 372 -1 210 581 -1 210 614 -1 210 615 -1 210 666 -1 210 686 -1 211 838 -1 211 839 -1 211 840 -1 211 841 -1 211 842 -1 211 843 -1 212 315 -1 212 349 -1 212 467 -1 212 560 -1 212 629 -1 212 630 -1 212 1157 -1 213 398 -1 213 401 -1 213 588 -1 213 590 -1 213 604 -1 214 392 -1 214 408 -1 214 499 -1 214 501 -1 214 528 -1 214 572 -1 214 650 -1 215 411 -1 215 437 -1 215 442 -1 215 491 -1 215 559 -1 215 623 -1 216 416 -1 216 420 -1 216 457 -1 216 514 -1 216 717 -1 217 303 -1 217 304 -1 217 431 -1 217 512 -1 217 513 -1 217 562 -1 218 1127 -1 218 1128 -1 218 1129 -1 218 1130 -1 218 1131 -1 218 1164 -1 218 1565 -1 219 350 -1 219 410 -1 219 504 -1 219 505 -1 219 591 -1 219 756 -1 220 324 -1 220 333 -1 220 421 -1 220 574 -1 220 678 -1 220 679 -1 220 682 -1 221 421 -1 221 448 -1 221 481 -1 221 582 -1 221 599 -1 221 690 -1 222 452 -1 222 494 -1 222 510 -1 222 705 -1 222 714 -1 222 1132 -1 222 1163 -1 223 298 -1 223 358 -1 223 483 -1 223 485 -1 223 694 -1 224 319 -1 224 526 -1 224 595 -1 224 658 -1 224 659 -1 224 660 -1 225 367 -1 225 372 -1 225 439 -1 225 595 -1 225 660 -1 225 661 -1 226 378 -1 226 549 -1 226 721 -1 226 722 -1 226 724 -1 227 368 -1 227 390 -1 227 433 -1 227 691 -1 227 739 -1 227 755 -1 228 1258 -1 228 1259 -1 228 1260 -1 228 1261 -1 228 1262 -1 228 1263 -1 229 365 -1 229 366 -1 229 529 -1 229 706 -1 229 750 -1 229 1133 -1 230 388 -1 230 479 -1 230 681 -1 230 752 -1 230 759 -1 230 760 -1 231 373 -1 231 440 -1 231 467 -1 231 560 -1 231 636 -1 232 844 -1 232 845 -1 232 846 -1 232 847 -1 232 848 -1 232 849 -1 232 850 -1 232 901 -1 233 335 -1 233 437 -1 233 524 -1 233 559 -1 233 800 -1 233 876 -1 234 408 -1 234 412 -1 234 465 -1 234 499 -1 234 719 -1 234 1223 -1 235 379 -1 235 474 -1 235 477 -1 235 684 -1 235 735 -1 236 399 -1 236 463 -1 236 646 -1 236 692 -1 236 693 -1 237 342 -1 237 446 -1 237 448 -1 237 690 -1 237 1236 -1 237 1303 -1 238 1264 -1 238 1265 -1 238 1266 -1 238 1267 -1 238 1268 -1 238 1269 -1 238 1333 -1 239 1270 -1 239 1271 -1 239 1272 -1 239 1273 -1 239 1274 -1 239 1310 -1 239 1311 -1 240 326 -1 240 471 -1 240 601 -1 240 602 -1 240 635 -1 241 389 -1 241 434 -1 241 558 -1 241 671 -1 241 672 -1 241 695 -1 242 398 -1 242 429 -1 242 588 -1 242 656 -1 242 725 -1 242 726 -1 243 302 -1 243 407 -1 243 429 -1 243 569 -1 243 1219 -1 243 1295 -1 244 1193 -1 244 1237 -1 244 1242 -1 244 1275 -1 244 1276 -1 244 1277 -1 244 1278 -1 245 319 -1 245 443 -1 245 526 -1 245 620 -1 245 638 -1 246 461 -1 246 469 -1 246 731 -1 246 736 -1 246 737 -1 246 1039 -1 246 1041 -1 247 298 -1 247 341 -1 247 490 -1 247 587 -1 247 942 -1 248 322 -1 248 413 -1 248 610 -1 248 612 -1 248 631 -1 249 363 -1 249 495 -1 249 509 -1 249 697 -1 249 698 -1 250 384 -1 250 443 -1 250 581 -1 250 666 -1 251 1059 -1 251 1134 -1 251 1135 -1 251 1136 -1 251 1137 -1 251 1138 -1 252 440 -1 252 640 -1 252 676 -1 252 1083 -1 252 1139 -1 252 1140 -1 253 481 -1 253 599 -1 253 617 -1 253 1141 -1 254 774 -1 254 778 -1 254 816 -1 254 851 -1 254 852 -1 254 853 -1 254 854 -1 254 1409 -1 255 395 -1 255 492 -1 255 598 -1 255 741 -1 255 757 -1 256 439 -1 256 598 -1 256 614 -1 256 654 -1 256 686 -1 256 741 -1 257 1279 -1 257 1280 -1 257 1281 -1 257 1282 -1 257 1283 -1 257 1284 -1 257 1309 -1 258 1224 -1 258 1247 -1 258 1285 -1 258 1286 -1 258 1287 -1 258 1288 -1 258 1326 -1 259 464 -1 259 465 -1 259 565 -1 259 1225 -1 259 1248 -1 259 1285 -1 260 444 -1 260 799 -1 260 812 -1 260 855 -1 260 856 -1 260 857 -1 260 896 -1 261 317 -1 261 379 -1 261 527 -1 261 735 -1 262 308 -1 262 318 -1 262 385 -1 262 478 -1 263 274 -1 263 458 -1 263 511 -1 263 680 -1 264 427 -1 264 442 -1 264 484 -1 264 623 -1 264 754 -1 264 952 -1 265 995 -1 265 996 -1 265 997 -1 265 998 -1 265 999 -1 265 1037 -1 266 338 -1 266 497 -1 266 586 -1 266 653 -1 267 1084 -1 267 1090 -1 267 1142 -1 267 1143 -1 267 1144 -1 267 1145 -1 267 1184 -1 268 858 -1 268 859 -1 268 860 -1 268 861 -1 268 862 -1 268 891 -1 268 904 -1 269 406 -1 269 425 -1 269 489 -1 269 655 -1 269 738 -1 269 826 -1 270 775 -1 270 817 -1 270 863 -1 270 864 -1 270 865 -1 270 866 -1 270 899 -1 270 1412 -1 271 371 -1 271 386 -1 271 387 -1 271 520 -1 271 746 -1 272 371 -1 272 473 -1 272 520 -1 272 554 -1 272 584 -1 272 703 -1 273 422 -1 273 493 -1 273 1095 -1 273 1109 -1 273 1146 -1 273 1147 -1 274 458 -1 274 607 -1 274 608 -1 275 397 -1 275 530 -1 275 558 -1 275 672 -1 276 347 -1 276 549 -1 276 597 -1 276 721 -1 276 723 -1 277 336 -1 277 487 -1 277 943 -1 277 1000 -1 278 502 -1 278 516 -1 278 576 -1 278 1220 -1 278 1289 -1 279 356 -1 279 577 -1 279 685 -1 280 1091 -1 280 1134 -1 280 1148 -1 280 1149 -1 280 1150 -1 280 1151 -1 280 1566 -1 280 1606 -1 281 336 -1 281 517 -1 281 628 -1 281 742 -1 282 933 -1 282 939 -1 282 1001 -1 282 1002 -1 282 1003 -1 282 1004 -1 282 1023 -1 283 480 -1 283 519 -1 283 700 -1 284 963 -1 284 976 -1 284 1005 -1 284 1006 -1 284 1007 -1 284 1008 -1 284 1470 -1 285 519 -1 285 561 -1 285 700 -1 285 701 -1 285 747 -1 286 351 -1 286 428 -1 286 575 -1 286 611 -1 287 392 -1 287 528 -1 287 590 -1 287 604 -1 288 357 -1 288 718 -1 288 803 -1 288 806 -1 288 818 -1 288 851 -1 288 867 -1 289 470 -1 289 477 -1 289 518 -1 289 519 -1 290 319 -1 290 456 -1 290 566 -1 290 620 -1 290 1089 -1 290 1099 -1 290 1152 -1 291 428 -1 291 502 -1 291 503 -1 291 506 -1 292 478 -1 292 492 -1 292 548 -1 292 641 -1 293 359 -1 293 383 -1 293 508 -1 293 632 -1 294 953 -1 294 969 -1 294 1009 -1 294 1010 -1 294 1011 -1 294 1012 -1 295 343 -1 295 432 -1 295 565 -1 295 1229 -1 295 1290 -1 296 1202 -1 296 1249 -1 296 1292 -1 296 1293 -1 296 1294 -1 296 1667 -1 296 1668 -1 297 358 -1 297 533 -1 297 603 -1 297 664 -1 298 358 -1 298 490 -1 298 694 -1 299 450 -1 299 556 -1 299 658 -1 299 659 -1 300 556 -1 300 567 -1 300 568 -1 300 626 -1 300 1191 -1 301 328 -1 301 485 -1 301 500 -1 301 541 -1 301 694 -1 302 583 -1 302 1219 -1 302 1220 -1 302 1231 -1 302 1252 -1 302 1289 -1 302 1295 -1 303 431 -1 303 472 -1 303 562 -1 303 665 -1 303 689 -1 304 403 -1 304 457 -1 304 512 -1 304 562 -1 305 322 -1 305 419 -1 305 663 -1 306 416 -1 306 642 -1 306 720 -1 306 964 -1 306 1050 -1 307 511 -1 307 593 -1 307 594 -1 307 716 -1 308 318 -1 308 387 -1 308 715 -1 309 487 -1 309 940 -1 309 944 -1 309 946 -1 309 989 -1 309 1001 -1 309 1013 -1 309 1014 -1 310 1096 -1 310 1146 -1 310 1154 -1 310 1155 -1 310 1567 -1 310 1568 -1 310 1569 -1 310 1627 -1 311 724 -1 311 1000 -1 311 1015 -1 312 517 -1 312 739 -1 312 755 -1 313 414 -1 313 733 -1 313 808 -1 313 821 -1 313 868 -1 313 869 -1 314 792 -1 314 809 -1 314 822 -1 314 868 -1 314 870 -1 314 871 -1 314 872 -1 315 585 -1 315 609 -1 315 629 -1 315 630 -1 316 637 -1 316 709 -1 316 804 -1 316 838 -1 316 873 -1 316 874 -1 316 907 -1 317 432 -1 317 563 -1 317 573 -1 318 395 -1 319 526 -1 319 620 -1 319 659 -1 319 1089 -1 320 484 -1 320 642 -1 320 954 -1 320 984 -1 320 1016 -1 321 410 -1 321 413 -1 321 578 -1 321 662 -1 322 413 -1 323 430 -1 323 592 -1 323 657 -1 323 677 -1 324 421 -1 324 582 -1 324 616 -1 324 678 -1 325 404 -1 325 1243 -1 325 1275 -1 325 1296 -1 326 337 -1 326 471 -1 327 414 -1 327 459 -1 327 500 -1 328 485 -1 328 530 -1 328 645 -1 329 1258 -1 329 1297 -1 329 1298 -1 329 1299 -1 329 1300 -1 329 1321 -1 329 1669 -1 329 1732 -1 330 497 -1 330 697 -1 330 698 -1 331 402 -1 331 489 -1 331 510 -1 331 626 -1 332 470 -1 332 475 -1 332 652 -1 332 744 -1 333 536 -1 333 639 -1 333 679 -1 333 682 -1 334 379 -1 334 574 -1 334 682 -1 334 744 -1 335 800 -1 335 801 -1 335 813 -1 335 844 -1 335 875 -1 335 876 -1 335 877 -1 336 487 -1 336 627 -1 336 628 -1 336 742 -1 337 692 -1 337 693 -1 338 579 -1 338 586 -1 338 651 -1 339 461 -1 339 578 -1 339 675 -1 339 740 -1 340 431 -1 340 505 -1 340 675 -1 340 689 -1 341 587 -1 341 938 -1 341 942 -1 341 970 -1 341 1017 -1 341 1018 -1 342 1222 -1 342 1236 -1 342 1238 -1 342 1241 -1 342 1264 -1 342 1301 -1 342 1302 -1 342 1303 -1 343 344 -1 343 399 -1 344 471 -1 344 527 -1 345 1215 -1 345 1232 -1 345 1253 -1 345 1259 -1 345 1304 -1 345 1305 -1 345 1306 -1 345 1307 -1 345 1308 -1 346 512 -1 346 576 -1 346 728 -1 346 729 -1 346 1233 -1 346 1338 -1 347 361 -1 347 549 -1 347 731 -1 348 916 -1 348 921 -1 348 985 -1 348 1019 -1 348 1020 -1 348 1021 -1 348 1051 -1 348 1505 -1 349 629 -1 349 1088 -1 349 1092 -1 349 1148 -1 349 1156 -1 349 1157 -1 350 591 -1 350 611 -1 350 612 -1 350 756 -1 351 428 -1 351 592 -1 352 1270 -1 352 1279 -1 352 1310 -1 352 1311 -1 352 1312 -1 352 1313 -1 352 1670 -1 352 1671 -1 353 779 -1 353 805 -1 353 839 -1 353 852 -1 353 873 -1 353 878 -1 353 879 -1 353 1416 -1 354 573 -1 354 616 -1 354 1230 -1 354 1265 -1 354 1314 -1 354 1315 -1 354 1335 -1 355 357 -1 355 547 -1 355 637 -1 355 732 -1 355 806 -1 356 638 -1 356 640 -1 357 641 -1 357 718 -1 357 806 -1 358 483 -1 358 533 -1 359 459 -1 359 645 -1 360 1069 -1 360 1071 -1 360 1074 -1 360 1118 -1 360 1122 -1 360 1158 -1 360 1159 -1 360 1618 -1 361 362 -1 361 731 -1 361 737 -1 362 662 -1 362 663 -1 363 459 -1 363 495 -1 363 509 -1 364 845 -1 364 870 -1 364 880 -1 364 881 -1 364 882 -1 364 1372 -1 364 1373 -1 364 1433 -1 365 518 -1 365 594 -1 365 706 -1 365 750 -1 366 458 -1 366 596 -1 366 680 -1 366 750 -1 366 1085 -1 366 1133 -1 367 547 -1 367 548 -1 367 595 -1 367 661 -1 368 435 -1 368 691 -1 368 755 -1 369 370 -1 369 509 -1 369 733 -1 370 535 -1 370 653 -1 370 823 -1 371 520 -1 371 703 -1 371 746 -1 372 439 -1 372 660 -1 372 666 -1 372 686 -1 373 685 -1 374 947 -1 374 1002 -1 374 1022 -1 374 1023 -1 374 1024 -1 374 1471 -1 374 1472 -1 374 1527 -1 375 782 -1 375 814 -1 375 855 -1 375 883 -1 375 884 -1 375 885 -1 375 1437 -1 376 1195 -1 376 1198 -1 376 1239 -1 376 1276 -1 376 1316 -1 376 1706 -1 377 925 -1 377 929 -1 377 958 -1 377 1025 -1 377 1026 -1 377 1027 -1 377 1517 -1 378 449 -1 378 549 -1 378 724 -1 378 945 -1 378 1015 -1 378 1028 -1 379 477 -1 379 735 -1 380 585 -1 380 607 -1 380 1086 -1 380 1093 -1 380 1142 -1 381 420 -1 381 665 -1 381 965 -1 381 967 -1 381 977 -1 381 1005 -1 382 827 -1 382 840 -1 382 886 -1 382 887 -1 382 888 -1 382 889 -1 382 1374 -1 382 1421 -1 383 495 -1 384 577 -1 384 580 -1 384 581 -1 384 708 -1 385 606 -1 385 718 -1 386 507 -1 386 520 -1 386 606 -1 387 715 -1 387 746 -1 388 490 -1 388 541 -1 388 681 -1 388 759 -1 389 483 -1 389 532 -1 389 671 -1 389 672 -1 390 394 -1 390 433 -1 390 539 -1 390 739 -1 391 539 -1 391 742 -1 391 748 -1 391 941 -1 391 948 -1 392 528 -1 392 650 -1 393 858 -1 393 862 -1 393 890 -1 393 892 -1 393 893 -1 393 1375 -1 393 1376 -1 393 1377 -1 394 539 -1 394 664 -1 394 949 -1 394 981 -1 394 1029 -1 396 639 -1 396 652 -1 396 1105 -1 396 1119 -1 396 1122 -1 396 1160 -1 397 508 -1 397 530 -1 398 588 -1 398 590 -1 398 726 -1 399 464 -1 399 646 -1 399 692 -1 400 911 -1 400 950 -1 400 982 -1 400 1022 -1 400 1029 -1 400 1030 -1 400 1031 -1 401 588 -1 401 604 -1 401 670 -1 401 1271 -1 401 1317 -1 402 450 -1 402 489 -1 402 709 -1 403 468 -1 403 1221 -1 403 1244 -1 403 1318 -1 404 745 -1 404 1243 -1 404 1318 -1 405 770 -1 405 776 -1 405 833 -1 405 863 -1 405 894 -1 405 895 -1 405 1405 -1 406 655 -1 406 738 -1 407 429 -1 407 506 -1 407 677 -1 407 1219 -1 408 499 -1 408 650 -1 409 480 -1 409 716 -1 410 505 -1 410 756 -1 411 491 -1 411 587 -1 411 623 -1 412 463 -1 412 719 -1 412 753 -1 413 612 -1 414 540 -1 414 869 -1 415 922 -1 415 966 -1 415 986 -1 415 1006 -1 415 1019 -1 415 1032 -1 415 1514 -1 416 420 -1 416 717 -1 416 964 -1 416 967 -1 417 536 -1 417 1097 -1 417 1120 -1 417 1141 -1 417 1161 -1 418 1075 -1 418 1098 -1 418 1121 -1 418 1153 -1 418 1158 -1 418 1161 -1 419 597 -1 419 663 -1 420 457 -1 420 967 -1 421 582 -1 421 599 -1 421 679 -1 422 617 -1 422 1095 -1 423 1078 -1 423 1110 -1 423 1147 -1 423 1154 -1 423 1162 -1 424 655 -1 424 798 -1 424 799 -1 424 828 -1 424 831 -1 424 856 -1 424 896 -1 425 668 -1 425 727 -1 425 826 -1 425 829 -1 425 908 -1 426 926 -1 426 959 -1 426 978 -1 426 1025 -1 426 1033 -1 426 1034 -1 427 938 -1 427 952 -1 427 955 -1 427 1009 -1 427 1035 -1 429 569 -1 429 588 -1 429 725 -1 430 656 -1 430 725 -1 431 513 -1 431 689 -1 432 573 -1 432 1229 -1 433 532 -1 433 533 -1 433 691 -1 434 435 -1 434 671 -1 434 695 -1 435 691 -1 436 437 -1 437 442 -1 437 559 -1 438 448 -1 439 661 -1 439 686 -1 439 741 -1 440 560 -1 440 640 -1 440 676 -1 441 1127 -1 441 1132 -1 441 1163 -1 441 1164 -1 441 1165 -1 441 1166 -1 442 623 -1 442 754 -1 443 666 -1 444 524 -1 444 812 -1 445 1240 -1 445 1277 -1 445 1296 -1 445 1319 -1 445 1320 -1 446 758 -1 446 1236 -1 446 1319 -1 446 1320 -1 447 788 -1 447 815 -1 447 846 -1 447 875 -1 447 883 -1 447 897 -1 447 1378 -1 448 481 -1 448 690 -1 449 990 -1 449 995 -1 449 1028 -1 449 1036 -1 449 1037 -1 449 1038 -1 450 732 -1 451 452 -1 451 714 -1 452 510 -1 452 714 -1 452 738 -1 453 777 -1 453 816 -1 453 819 -1 453 853 -1 453 864 -1 453 1379 -1 453 1413 -1 454 1055 -1 454 1100 -1 454 1114 -1 454 1167 -1 454 1168 -1 454 1169 -1 454 1170 -1 455 1061 -1 455 1101 -1 455 1135 -1 455 1167 -1 455 1171 -1 455 1570 -1 455 1571 -1 455 1632 -1 456 515 -1 456 1083 -1 456 1099 -1 456 1102 -1 456 1139 -1 457 514 -1 457 562 -1 458 607 -1 458 680 -1 458 1085 -1 460 472 -1 460 740 -1 460 960 -1 460 962 -1 460 979 -1 460 1033 -1 461 737 -1 461 740 -1 461 962 -1 461 1039 -1 462 584 -1 462 834 -1 462 836 -1 462 865 -1 462 894 -1 462 899 -1 463 624 -1 463 646 -1 463 693 -1 463 753 -1 464 465 -1 464 646 -1 465 719 -1 465 1223 -1 465 1225 -1 466 467 -1 466 630 -1 467 560 -1 467 630 -1 467 636 -1 468 1221 -1 468 1244 -1 468 1245 -1 468 1260 -1 468 1297 -1 468 1321 -1 468 1322 -1 469 961 -1 469 996 -1 469 1026 -1 469 1039 -1 469 1040 -1 469 1041 -1 470 477 -1 471 601 -1 472 665 -1 472 689 -1 472 979 -1 473 554 -1 473 584 -1 473 651 -1 473 836 -1 473 900 -1 474 477 -1 474 684 -1 474 747 -1 475 652 -1 475 706 -1 475 1173 -1 476 1070 -1 476 1106 -1 476 1123 -1 476 1174 -1 476 1176 -1 476 1177 -1 476 1572 -1 478 641 -1 479 752 -1 479 760 -1 479 802 -1 479 810 -1 479 847 -1 479 901 -1 479 902 -1 480 716 -1 481 599 -1 481 617 -1 481 704 -1 482 933 -1 482 935 -1 482 991 -1 482 1001 -1 482 1003 -1 482 1013 -1 482 1042 -1 482 1473 -1 483 485 -1 484 754 -1 484 952 -1 484 954 -1 485 694 -1 486 717 -1 487 940 -1 487 943 -1 487 946 -1 488 651 -1 488 835 -1 488 859 -1 488 900 -1 488 903 -1 488 904 -1 490 587 -1 491 559 -1 491 752 -1 491 759 -1 492 741 -1 493 1082 -1 493 1109 -1 493 1178 -1 494 705 -1 494 714 -1 494 1082 -1 494 1111 -1 494 1178 -1 495 496 -1 495 697 -1 496 697 -1 497 586 -1 497 653 -1 498 1199 -1 498 1241 -1 498 1266 -1 498 1301 -1 498 1316 -1 498 1323 -1 498 1709 -1 499 501 -1 499 1223 -1 499 1226 -1 500 541 -1 501 572 -1 501 618 -1 501 1226 -1 501 1227 -1 501 1280 -1 501 1281 -1 502 503 -1 503 504 -1 503 591 -1 504 505 -1 504 516 -1 504 591 -1 506 677 -1 507 606 -1 507 817 -1 507 820 -1 507 866 -1 507 899 -1 508 632 -1 509 698 -1 510 1163 -1 511 593 -1 511 680 -1 512 513 -1 513 516 -1 514 717 -1 514 745 -1 515 1102 -1 515 1103 -1 515 1136 -1 515 1139 -1 515 1140 -1 515 1171 -1 515 1179 -1 517 628 -1 518 594 -1 519 700 -1 519 747 -1 520 584 -1 521 1672 -1 521 1673 -1 521 1674 -1 521 1675 -1 522 1204 -1 522 1247 -1 522 1250 -1 522 1286 -1 522 1676 -1 522 1677 -1 522 1678 -1 523 745 -1 524 876 -1 525 784 -1 525 830 -1 525 857 -1 525 884 -1 525 886 -1 525 896 -1 526 660 -1 527 735 -1 528 572 -1 528 604 -1 529 706 -1 529 1107 -1 529 1124 -1 529 1133 -1 529 1173 -1 529 1174 -1 529 1180 -1 530 672 -1 531 1079 -1 531 1112 -1 531 1128 -1 531 1162 -1 531 1164 -1 531 1181 -1 531 1182 -1 531 1573 -1 532 533 -1 532 671 -1 533 664 -1 534 1064 -1 534 1125 -1 534 1143 -1 534 1183 -1 534 1184 -1 534 1574 -1 534 1575 -1 535 823 -1 535 860 -1 535 903 -1 535 905 -1 536 639 -1 536 1120 -1 537 1056 -1 537 1115 -1 537 1129 -1 537 1130 -1 537 1168 -1 537 1186 -1 537 1187 -1 538 1071 -1 538 1108 -1 538 1122 -1 538 1159 -1 538 1160 -1 538 1176 -1 539 948 -1 539 949 -1 540 681 -1 540 760 -1 540 869 -1 541 681 -1 542 1474 -1 542 1475 -1 542 1476 -1 542 1477 -1 543 913 -1 543 971 -1 543 1030 -1 543 1043 -1 543 1045 -1 543 1046 -1 544 603 -1 544 942 -1 544 972 -1 544 1017 -1 544 1047 -1 545 1065 -1 545 1090 -1 545 1091 -1 545 1094 -1 545 1144 -1 545 1149 -1 545 1183 -1 545 1576 -1 545 1630 -1 546 1679 -1 546 1680 -1 546 1681 -1 546 1682 -1 547 732 -1 548 661 -1 549 721 -1 550 579 -1 550 586 -1 551 1088 -1 551 1134 -1 551 1137 -1 551 1148 -1 551 1150 -1 551 1156 -1 551 1189 -1 552 1193 -1 552 1196 -1 552 1242 -1 552 1246 -1 552 1278 -1 552 1298 -1 552 1321 -1 553 554 -1 553 703 -1 554 555 -1 554 579 -1 554 703 -1 555 579 -1 556 626 -1 557 695 -1 558 672 -1 558 695 -1 559 800 -1 560 1157 -1 561 602 -1 561 747 -1 563 574 -1 563 678 -1 564 1229 -1 564 1249 -1 564 1251 -1 564 1290 -1 564 1292 -1 564 1328 -1 564 1329 -1 565 1248 -1 565 1290 -1 565 1328 -1 566 1099 -1 566 1104 -1 566 1116 -1 566 1152 -1 566 1169 -1 566 1190 -1 567 1089 -1 567 1152 -1 567 1190 -1 567 1191 -1 568 1117 -1 568 1130 -1 568 1165 -1 568 1186 -1 568 1191 -1 569 570 -1 569 1254 -1 569 1295 -1 570 1254 -1 570 1272 -1 570 1317 -1 570 1330 -1 571 1211 -1 571 1255 -1 571 1257 -1 571 1304 -1 571 1331 -1 571 1683 -1 571 1734 -1 572 702 -1 572 1281 -1 573 1230 -1 574 678 -1 574 682 -1 575 610 -1 575 611 -1 575 710 -1 576 1233 -1 577 708 -1 578 662 -1 579 586 -1 580 581 -1 581 615 -1 581 666 -1 582 690 -1 583 1231 -1 583 1232 -1 583 1234 -1 583 1252 -1 583 1253 -1 583 1256 -1 583 1305 -1 584 836 -1 585 609 -1 585 629 -1 585 1093 -1 589 1267 -1 589 1293 -1 589 1323 -1 589 1327 -1 589 1333 -1 589 1684 -1 589 1685 -1 590 604 -1 591 611 -1 592 657 -1 592 677 -1 595 658 -1 595 660 -1 596 1084 -1 596 1085 -1 596 1087 -1 596 1126 -1 596 1133 -1 596 1145 -1 596 1180 -1 596 1184 -1 597 723 -1 598 654 -1 598 741 -1 598 757 -1 600 1209 -1 600 1282 -1 600 1287 -1 600 1309 -1 600 1325 -1 600 1326 -1 600 1334 -1 601 602 -1 601 684 -1 602 635 -1 603 664 -1 603 1047 -1 603 1048 -1 604 670 -1 605 803 -1 605 807 -1 605 851 -1 605 854 -1 605 867 -1 605 878 -1 606 820 -1 607 608 -1 607 1086 -1 608 609 -1 610 612 -1 610 631 -1 610 710 -1 613 746 -1 614 615 -1 614 654 -1 614 686 -1 616 1335 -1 617 704 -1 618 1224 -1 618 1227 -1 618 1228 -1 618 1280 -1 618 1283 -1 618 1288 -1 618 1334 -1 619 809 -1 619 810 -1 619 811 -1 619 848 -1 619 871 -1 619 880 -1 619 901 -1 620 638 -1 621 1212 -1 621 1257 -1 621 1273 -1 621 1330 -1 621 1331 -1 621 1686 -1 621 1687 -1 621 1726 -1 622 1577 -1 622 1578 -1 622 1579 -1 622 1580 -1 622 1581 -1 624 693 -1 625 918 -1 625 969 -1 625 973 -1 625 1010 -1 625 1045 -1 625 1049 -1 625 1478 -1 625 1535 -1 627 628 -1 629 1092 -1 633 974 -1 633 983 -1 633 1031 -1 633 1046 -1 633 1047 -1 633 1048 -1 634 792 -1 634 795 -1 634 822 -1 634 824 -1 634 872 -1 634 890 -1 634 906 -1 637 709 -1 637 804 -1 639 682 -1 639 1119 -1 640 1083 -1 642 984 -1 642 1050 -1 643 954 -1 643 956 -1 643 957 -1 643 984 -1 643 987 -1 643 1016 -1 643 1020 -1 643 1051 -1 644 1582 -1 644 1583 -1 644 1584 -1 644 1585 -1 644 1586 -1 647 944 -1 647 945 -1 647 989 -1 647 992 -1 647 1014 -1 647 1028 -1 647 1036 -1 648 1479 -1 648 1480 -1 648 1481 -1 648 1482 -1 648 1483 -1 649 931 -1 649 994 -1 649 997 -1 649 1037 -1 649 1053 -1 649 1484 -1 649 1485 -1 651 900 -1 652 744 -1 652 1105 -1 655 826 -1 655 831 -1 656 712 -1 656 725 -1 656 726 -1 658 659 -1 664 981 -1 665 977 -1 667 771 -1 667 837 -1 667 861 -1 667 891 -1 667 895 -1 667 904 -1 668 838 -1 668 841 -1 668 874 -1 668 907 -1 668 908 -1 669 780 -1 669 842 -1 669 879 -1 669 887 -1 669 1380 -1 669 1381 -1 669 1439 -1 670 1271 -1 670 1274 -1 670 1311 -1 670 1337 -1 673 1222 -1 673 1264 -1 673 1268 -1 673 1302 -1 673 1314 -1 673 1335 -1 674 1230 -1 674 1269 -1 674 1294 -1 674 1315 -1 674 1329 -1 674 1333 -1 675 689 -1 676 1138 -1 676 1140 -1 676 1179 -1 676 1189 -1 680 750 -1 681 760 -1 682 744 -1 683 938 -1 683 969 -1 683 970 -1 683 975 -1 683 1011 -1 683 1018 -1 683 1035 -1 684 735 -1 687 789 -1 687 846 -1 687 849 -1 687 881 -1 687 897 -1 687 1429 -1 687 1430 -1 688 1688 -1 688 1689 -1 688 1690 -1 688 1691 -1 688 1692 -1 690 1303 -1 692 693 -1 696 919 -1 696 953 -1 696 957 -1 696 1012 -1 696 1021 -1 696 1049 -1 696 1051 -1 696 1486 -1 697 698 -1 699 1382 -1 699 1383 -1 699 1384 -1 699 1385 -1 700 701 -1 702 1279 -1 702 1281 -1 702 1284 -1 702 1311 -1 702 1313 -1 702 1337 -1 705 1111 -1 705 1113 -1 705 1132 -1 705 1164 -1 705 1166 -1 705 1182 -1 706 1173 -1 707 932 -1 707 998 -1 707 1027 -1 707 1040 -1 707 1053 -1 707 1487 -1 709 907 -1 711 1587 -1 711 1588 -1 711 1589 -1 711 1590 -1 712 726 -1 713 1591 -1 713 1592 -1 713 1593 -1 713 1594 -1 713 1595 -1 718 818 -1 720 964 -1 720 968 -1 720 986 -1 720 988 -1 720 1032 -1 720 1050 -1 721 722 -1 721 723 -1 722 724 -1 724 1015 -1 727 827 -1 727 829 -1 727 832 -1 727 840 -1 727 843 -1 727 888 -1 727 908 -1 728 1232 -1 728 1233 -1 728 1235 -1 728 1259 -1 728 1261 -1 728 1306 -1 728 1338 -1 729 1221 -1 729 1262 -1 729 1322 -1 729 1338 -1 730 1216 -1 730 1258 -1 730 1259 -1 730 1263 -1 730 1299 -1 730 1307 -1 730 1339 -1 731 736 -1 731 737 -1 733 821 -1 734 823 -1 734 824 -1 734 825 -1 734 862 -1 734 892 -1 734 905 -1 734 906 -1 736 999 -1 736 1038 -1 736 1041 -1 739 755 -1 740 962 -1 743 927 -1 743 976 -1 743 980 -1 743 1007 -1 743 1034 -1 743 1488 -1 743 1532 -1 748 939 -1 748 941 -1 748 948 -1 748 951 -1 748 1004 -1 748 1023 -1 749 1693 -1 749 1694 -1 749 1695 -1 749 1696 -1 751 801 -1 751 802 -1 751 844 -1 751 850 -1 751 877 -1 751 902 -1 752 759 -1 752 802 -1 758 1320 -1 760 810 -1 761 1386 -1 761 1387 -1 761 1388 -1 761 1389 -1 761 1390 -1 762 1391 -1 762 1392 -1 762 1393 -1 762 1394 -1 762 1395 -1 763 1489 -1 763 1490 -1 763 1491 -1 763 1492 -1 763 1493 -1 764 1697 -1 764 1698 -1 764 1699 -1 764 1700 -1 764 1701 -1 765 1494 -1 765 1495 -1 765 1496 -1 765 1497 -1 765 1498 -1 766 1396 -1 766 1397 -1 766 1398 -1 766 1399 -1 766 1400 -1 767 1596 -1 767 1597 -1 767 1598 -1 767 1599 -1 767 1600 -1 768 1340 -1 768 1345 -1 768 1401 -1 768 1402 -1 769 891 -1 769 1341 -1 769 1344 -1 769 1375 -1 769 1377 -1 769 1391 -1 769 1403 -1 769 1404 -1 770 771 -1 770 895 -1 770 1342 -1 770 1401 -1 770 1405 -1 771 891 -1 771 895 -1 771 1342 -1 771 1344 -1 772 1341 -1 772 1343 -1 772 1391 -1 772 1392 -1 772 1403 -1 773 1346 -1 773 1351 -1 773 1406 -1 773 1407 -1 774 853 -1 774 1347 -1 774 1379 -1 774 1406 -1 774 1408 -1 774 1409 -1 775 864 -1 775 1348 -1 775 1410 -1 775 1411 -1 775 1412 -1 775 1413 -1 776 863 -1 776 1349 -1 776 1402 -1 776 1405 -1 776 1410 -1 776 1412 -1 777 1347 -1 777 1350 -1 777 1379 -1 777 1408 -1 777 1411 -1 777 1413 -1 778 852 -1 778 1352 -1 778 1407 -1 778 1409 -1 778 1414 -1 778 1416 -1 779 879 -1 779 1353 -1 779 1380 -1 779 1414 -1 779 1415 -1 779 1416 -1 780 1353 -1 780 1354 -1 780 1380 -1 780 1381 -1 780 1415 -1 780 1417 -1 780 1418 -1 781 1355 -1 781 1386 -1 781 1417 -1 781 1419 -1 782 784 -1 782 884 -1 782 885 -1 782 1357 -1 782 1360 -1 783 784 -1 783 1356 -1 783 1357 -1 783 1374 -1 783 1387 -1 783 1420 -1 783 1421 -1 783 1422 -1 784 884 -1 784 886 -1 784 1357 -1 784 1421 -1 785 1358 -1 785 1360 -1 785 1382 -1 785 1384 -1 785 1423 -1 786 1356 -1 786 1359 -1 786 1387 -1 786 1388 -1 786 1420 -1 787 881 -1 787 1361 -1 787 1372 -1 787 1396 -1 787 1424 -1 787 1425 -1 787 1426 -1 787 1429 -1 788 897 -1 788 1362 -1 788 1366 -1 788 1378 -1 788 1427 -1 788 1428 -1 788 1430 -1 789 1363 -1 789 1424 -1 789 1427 -1 789 1429 -1 789 1430 -1 790 1364 -1 790 1366 -1 790 1383 -1 790 1385 -1 790 1431 -1 791 1361 -1 791 1365 -1 791 1396 -1 791 1397 -1 791 1425 -1 792 793 -1 792 795 -1 792 870 -1 792 872 -1 792 1367 -1 792 1433 -1 793 1367 -1 793 1368 -1 793 1373 -1 793 1398 -1 793 1432 -1 793 1433 -1 793 1434 -1 794 795 -1 794 890 -1 794 1369 -1 794 1376 -1 794 1393 -1 794 1435 -1 794 1436 -1 795 890 -1 795 1367 -1 795 1369 -1 796 1369 -1 796 1370 -1 796 1393 -1 796 1394 -1 796 1435 -1 797 1368 -1 797 1371 -1 797 1398 -1 797 1399 -1 797 1432 -1 798 799 -1 799 856 -1 800 801 -1 801 877 -1 802 902 -1 803 806 -1 803 807 -1 803 867 -1 804 805 -1 804 873 -1 805 807 -1 805 873 -1 805 878 -1 807 878 -1 808 809 -1 808 868 -1 808 869 -1 809 811 -1 809 868 -1 809 871 -1 810 811 -1 810 901 -1 812 814 -1 812 855 -1 813 815 -1 813 875 -1 813 876 -1 814 815 -1 814 855 -1 814 883 -1 815 875 -1 815 883 -1 816 818 -1 816 819 -1 816 851 -1 816 853 -1 817 819 -1 817 820 -1 817 864 -1 817 866 -1 818 851 -1 819 864 -1 821 822 -1 821 868 -1 822 824 -1 822 868 -1 822 872 -1 823 825 -1 823 905 -1 824 825 -1 824 906 -1 826 829 -1 826 831 -1 827 830 -1 827 832 -1 827 886 -1 827 888 -1 828 831 -1 828 896 -1 829 832 -1 830 886 -1 830 896 -1 833 834 -1 833 837 -1 833 894 -1 833 895 -1 834 836 -1 834 894 -1 835 837 -1 835 900 -1 835 904 -1 837 895 -1 837 904 -1 838 839 -1 838 841 -1 838 873 -1 838 874 -1 839 842 -1 839 873 -1 839 879 -1 840 842 -1 840 843 -1 840 887 -1 840 888 -1 841 843 -1 841 908 -1 842 879 -1 842 887 -1 843 908 -1 844 846 -1 844 850 -1 844 875 -1 844 877 -1 845 848 -1 845 849 -1 845 880 -1 845 881 -1 846 849 -1 846 875 -1 846 897 -1 847 850 -1 847 901 -1 847 902 -1 848 880 -1 848 901 -1 849 881 -1 850 902 -1 851 854 -1 851 867 -1 852 854 -1 852 878 -1 852 1416 -1 853 1379 -1 854 878 -1 855 857 -1 855 884 -1 856 896 -1 857 884 -1 857 896 -1 858 862 -1 858 891 -1 858 1377 -1 859 860 -1 859 903 -1 859 904 -1 860 862 -1 860 903 -1 860 905 -1 861 891 -1 861 904 -1 862 892 -1 862 905 -1 863 865 -1 863 894 -1 863 1412 -1 864 1413 -1 865 894 -1 865 899 -1 866 899 -1 870 871 -1 870 880 -1 870 1433 -1 871 880 -1 874 907 -1 879 1380 -1 881 1372 -1 881 1429 -1 882 1372 -1 882 1373 -1 882 1396 -1 882 1398 -1 882 1400 -1 882 1426 -1 882 1434 -1 883 898 -1 883 1378 -1 883 1437 -1 885 1360 -1 885 1384 -1 885 1423 -1 885 1437 -1 885 1438 -1 886 1421 -1 887 889 -1 887 1439 -1 889 1374 -1 889 1387 -1 889 1389 -1 889 1422 -1 889 1439 -1 889 1440 -1 890 892 -1 890 906 -1 890 1376 -1 891 1344 -1 891 1377 -1 892 906 -1 893 1375 -1 893 1376 -1 893 1391 -1 893 1393 -1 893 1395 -1 893 1404 -1 893 1436 -1 897 1430 -1 898 1366 -1 898 1378 -1 898 1385 -1 898 1428 -1 898 1431 -1 898 1437 -1 898 1438 -1 909 1381 -1 909 1390 -1 909 1418 -1 909 1419 -1 909 1439 -1 909 1440 -1 910 911 -1 910 1022 -1 910 1441 -1 910 1471 -1 910 1489 -1 910 1499 -1 910 1500 -1 911 913 -1 911 1022 -1 911 1030 -1 911 1441 -1 912 1442 -1 912 1444 -1 912 1474 -1 912 1476 -1 912 1501 -1 913 1030 -1 913 1043 -1 913 1444 -1 914 1441 -1 914 1443 -1 914 1489 -1 914 1490 -1 914 1499 -1 915 1445 -1 915 1450 -1 915 1502 -1 915 1503 -1 916 1021 -1 916 1446 -1 916 1486 -1 916 1502 -1 916 1504 -1 916 1505 -1 917 1447 -1 917 1475 -1 917 1506 -1 917 1507 -1 918 1049 -1 918 1448 -1 918 1478 -1 918 1506 -1 918 1508 -1 918 1509 -1 919 1049 -1 919 1446 -1 919 1449 -1 919 1486 -1 919 1504 -1 919 1508 -1 920 1006 -1 920 1451 -1 920 1470 -1 920 1494 -1 920 1510 -1 920 1511 -1 920 1512 -1 920 1514 -1 921 1019 -1 921 1452 -1 921 1503 -1 921 1505 -1 921 1513 -1 922 1019 -1 922 1453 -1 922 1510 -1 922 1513 -1 922 1514 -1 923 1451 -1 923 1454 -1 923 1494 -1 923 1495 -1 923 1511 -1 924 1455 -1 924 1460 -1 924 1515 -1 924 1516 -1 925 926 -1 925 1025 -1 925 1456 -1 925 1515 -1 925 1517 -1 926 927 -1 926 1025 -1 926 1034 -1 926 1456 -1 926 1457 -1 927 1034 -1 927 1457 -1 927 1458 -1 927 1488 -1 927 1518 -1 927 1519 -1 928 1459 -1 928 1496 -1 928 1518 -1 928 1520 -1 929 1027 -1 929 1461 -1 929 1487 -1 929 1516 -1 929 1517 -1 929 1521 -1 930 1462 -1 930 1479 -1 930 1522 -1 930 1523 -1 931 1053 -1 931 1463 -1 931 1485 -1 931 1522 -1 931 1524 -1 931 1525 -1 932 1053 -1 932 1461 -1 932 1464 -1 932 1487 -1 932 1521 -1 932 1524 -1 933 934 -1 933 935 -1 933 1002 -1 933 1003 -1 933 1465 -1 933 1527 -1 934 1465 -1 934 1466 -1 934 1472 -1 934 1491 -1 934 1526 -1 934 1527 -1 934 1528 -1 935 1042 -1 935 1465 -1 935 1469 -1 936 1467 -1 936 1469 -1 936 1480 -1 936 1482 -1 936 1529 -1 937 1466 -1 937 1468 -1 937 1491 -1 937 1492 -1 937 1526 -1 938 1018 -1 938 1035 -1 939 940 -1 939 941 -1 939 1001 -1 939 1004 -1 940 1001 -1 942 1017 -1 943 946 -1 943 1000 -1 944 946 -1 944 1014 -1 945 1015 -1 945 1028 -1 947 950 -1 947 1022 -1 947 1023 -1 948 951 -1 949 950 -1 949 1029 -1 950 1022 -1 950 1029 -1 951 1023 -1 952 955 -1 953 955 -1 953 957 -1 953 1009 -1 953 1012 -1 954 956 -1 954 1016 -1 955 1009 -1 956 957 -1 957 1051 -1 958 959 -1 958 961 -1 958 1025 -1 958 1026 -1 959 960 -1 959 1025 -1 959 1033 -1 960 962 -1 960 1033 -1 961 1026 -1 961 1039 -1 963 965 -1 963 966 -1 963 1005 -1 963 1006 -1 964 968 -1 965 967 -1 965 1005 -1 966 968 -1 966 1006 -1 966 1032 -1 968 1032 -1 969 973 -1 969 975 -1 969 1010 -1 969 1011 -1 970 972 -1 970 975 -1 970 1017 -1 970 1018 -1 971 973 -1 971 974 -1 971 1045 -1 971 1046 -1 972 974 -1 972 1017 -1 972 1047 -1 973 1045 -1 974 1046 -1 974 1047 -1 976 977 -1 976 980 -1 976 1005 -1 976 1007 -1 977 1005 -1 978 979 -1 978 980 -1 978 1033 -1 978 1034 -1 979 1033 -1 980 1034 -1 981 982 -1 981 1029 -1 982 983 -1 982 1029 -1 982 1031 -1 983 1031 -1 983 1048 -1 984 987 -1 984 1016 -1 985 986 -1 985 987 -1 985 1019 -1 985 1020 -1 986 988 -1 986 1019 -1 986 1032 -1 987 1020 -1 988 1050 -1 989 991 -1 989 992 -1 989 1013 -1 989 1014 -1 990 992 -1 990 1036 -1 990 1037 -1 991 993 -1 991 1013 -1 991 1473 -1 992 1036 -1 993 994 -1 993 1473 -1 993 1481 -1 993 1484 -1 993 1530 -1 993 1531 -1 994 1037 -1 994 1484 -1 995 999 -1 995 1037 -1 995 1038 -1 996 998 -1 996 999 -1 996 1040 -1 996 1041 -1 997 998 -1 997 1037 -1 997 1053 -1 998 1040 -1 998 1053 -1 999 1038 -1 999 1041 -1 1001 1003 -1 1001 1013 -1 1002 1023 -1 1002 1527 -1 1004 1023 -1 1006 1470 -1 1006 1514 -1 1007 1008 -1 1007 1532 -1 1008 1470 -1 1008 1494 -1 1008 1497 -1 1008 1512 -1 1008 1532 -1 1008 1533 -1 1009 1011 -1 1009 1035 -1 1010 1012 -1 1010 1049 -1 1011 1035 -1 1012 1049 -1 1019 1513 -1 1020 1051 -1 1021 1051 -1 1021 1486 -1 1022 1471 -1 1024 1471 -1 1024 1472 -1 1024 1489 -1 1024 1491 -1 1024 1493 -1 1024 1500 -1 1024 1528 -1 1026 1027 -1 1026 1040 -1 1027 1040 -1 1027 1487 -1 1028 1036 -1 1030 1031 -1 1030 1046 -1 1031 1046 -1 1042 1469 -1 1042 1473 -1 1042 1481 -1 1042 1482 -1 1042 1529 -1 1042 1530 -1 1043 1045 -1 1043 1444 -1 1043 1476 -1 1043 1501 -1 1043 1534 -1 1043 1535 -1 1044 1477 -1 1044 1478 -1 1044 1507 -1 1044 1509 -1 1044 1534 -1 1044 1535 -1 1045 1535 -1 1047 1048 -1 1049 1508 -1 1052 1481 -1 1052 1483 -1 1052 1484 -1 1052 1485 -1 1052 1523 -1 1052 1525 -1 1052 1531 -1 1053 1524 -1 1054 1488 -1 1054 1498 -1 1054 1519 -1 1054 1520 -1 1054 1532 -1 1054 1533 -1 1055 1056 -1 1055 1168 -1 1055 1170 -1 1055 1538 -1 1056 1168 -1 1056 1187 -1 1056 1539 -1 1057 1536 -1 1057 1539 -1 1057 1582 -1 1057 1586 -1 1057 1601 -1 1058 1537 -1 1058 1538 -1 1058 1587 -1 1058 1589 -1 1058 1602 -1 1059 1134 -1 1059 1135 -1 1059 1540 -1 1059 1570 -1 1059 1603 -1 1059 1604 -1 1059 1606 -1 1060 1541 -1 1060 1566 -1 1060 1577 -1 1060 1603 -1 1060 1605 -1 1060 1606 -1 1060 1607 -1 1061 1540 -1 1061 1542 -1 1061 1545 -1 1061 1570 -1 1061 1571 -1 1061 1604 -1 1061 1608 -1 1062 1541 -1 1062 1543 -1 1062 1577 -1 1062 1578 -1 1062 1605 -1 1063 1544 -1 1063 1545 -1 1063 1588 -1 1063 1590 -1 1063 1609 -1 1064 1183 -1 1064 1546 -1 1064 1575 -1 1064 1610 -1 1064 1611 -1 1064 1612 -1 1065 1183 -1 1065 1547 -1 1065 1550 -1 1065 1576 -1 1065 1610 -1 1065 1613 -1 1066 1548 -1 1066 1550 -1 1066 1579 -1 1066 1581 -1 1066 1614 -1 1067 1549 -1 1067 1591 -1 1067 1611 -1 1067 1615 -1 1068 1551 -1 1068 1556 -1 1068 1616 -1 1068 1617 -1 1069 1071 -1 1069 1552 -1 1069 1553 -1 1069 1616 -1 1069 1618 -1 1070 1071 -1 1070 1176 -1 1070 1177 -1 1070 1553 -1 1070 1555 -1 1071 1159 -1 1071 1176 -1 1071 1553 -1 1072 1554 -1 1072 1555 -1 1072 1592 -1 1072 1594 -1 1072 1619 -1 1073 1153 -1 1073 1557 -1 1073 1567 -1 1073 1569 -1 1073 1596 -1 1073 1620 -1 1073 1621 -1 1073 1622 -1 1074 1158 -1 1074 1558 -1 1074 1617 -1 1074 1618 -1 1074 1623 -1 1075 1153 -1 1075 1158 -1 1075 1559 -1 1075 1620 -1 1075 1623 -1 1076 1557 -1 1076 1560 -1 1076 1596 -1 1076 1597 -1 1076 1621 -1 1077 1078 -1 1077 1154 -1 1077 1561 -1 1077 1568 -1 1077 1598 -1 1077 1624 -1 1077 1625 -1 1078 1079 -1 1078 1154 -1 1078 1162 -1 1078 1561 -1 1079 1162 -1 1079 1181 -1 1079 1564 -1 1080 1562 -1 1080 1564 -1 1080 1583 -1 1080 1585 -1 1080 1626 -1 1081 1561 -1 1081 1563 -1 1081 1598 -1 1081 1599 -1 1081 1624 -1 1082 1178 -1 1083 1139 -1 1084 1086 -1 1084 1087 -1 1084 1142 -1 1084 1145 -1 1085 1087 -1 1086 1142 -1 1088 1156 -1 1088 1157 -1 1089 1152 -1 1090 1093 -1 1090 1094 -1 1090 1142 -1 1090 1144 -1 1091 1092 -1 1091 1094 -1 1091 1148 -1 1091 1149 -1 1092 1148 -1 1093 1142 -1 1095 1096 -1 1095 1146 -1 1096 1098 -1 1096 1146 -1 1096 1627 -1 1097 1098 -1 1097 1141 -1 1097 1161 -1 1098 1153 -1 1098 1161 -1 1098 1627 -1 1099 1102 -1 1099 1104 -1 1100 1101 -1 1100 1104 -1 1100 1167 -1 1100 1169 -1 1101 1103 -1 1101 1167 -1 1101 1171 -1 1102 1103 -1 1103 1171 -1 1104 1169 -1 1105 1108 -1 1105 1160 -1 1106 1107 -1 1106 1108 -1 1106 1174 -1 1106 1176 -1 1107 1173 -1 1107 1174 -1 1108 1160 -1 1108 1176 -1 1109 1110 -1 1109 1147 -1 1110 1112 -1 1110 1147 -1 1110 1162 -1 1111 1113 -1 1111 1178 -1 1112 1162 -1 1112 1182 -1 1113 1182 -1 1114 1115 -1 1114 1116 -1 1114 1168 -1 1114 1169 -1 1115 1168 -1 1115 1186 -1 1116 1169 -1 1116 1190 -1 1117 1186 -1 1117 1191 -1 1118 1121 -1 1118 1122 -1 1118 1158 -1 1119 1122 -1 1120 1121 -1 1120 1161 -1 1121 1158 -1 1121 1161 -1 1122 1159 -1 1122 1160 -1 1123 1124 -1 1123 1174 -1 1123 1175 -1 1123 1572 -1 1124 1174 -1 1124 1180 -1 1125 1175 -1 1125 1184 -1 1125 1574 -1 1126 1180 -1 1126 1184 -1 1127 1130 -1 1127 1164 -1 1127 1165 -1 1128 1131 -1 1128 1164 -1 1128 1573 -1 1129 1130 -1 1129 1187 -1 1129 1565 -1 1130 1165 -1 1130 1186 -1 1131 1565 -1 1131 1573 -1 1131 1584 -1 1131 1586 -1 1131 1628 -1 1131 1629 -1 1132 1163 -1 1132 1166 -1 1133 1180 -1 1134 1137 -1 1134 1150 -1 1134 1606 -1 1135 1136 -1 1135 1171 -1 1135 1570 -1 1136 1138 -1 1136 1171 -1 1136 1179 -1 1137 1138 -1 1137 1189 -1 1138 1179 -1 1138 1189 -1 1139 1140 -1 1140 1179 -1 1143 1144 -1 1143 1183 -1 1143 1184 -1 1144 1183 -1 1145 1184 -1 1146 1147 -1 1146 1154 -1 1147 1154 -1 1148 1150 -1 1148 1156 -1 1149 1151 -1 1149 1630 -1 1151 1566 -1 1151 1577 -1 1151 1580 -1 1151 1607 -1 1151 1630 -1 1151 1631 -1 1152 1190 -1 1153 1569 -1 1153 1620 -1 1153 1627 -1 1154 1568 -1 1155 1567 -1 1155 1568 -1 1155 1596 -1 1155 1598 -1 1155 1600 -1 1155 1622 -1 1155 1625 -1 1158 1623 -1 1164 1166 -1 1164 1182 -1 1167 1170 -1 1167 1632 -1 1170 1538 -1 1170 1589 -1 1170 1602 -1 1170 1632 -1 1170 1633 -1 1172 1545 -1 1172 1571 -1 1172 1590 -1 1172 1608 -1 1172 1609 -1 1172 1632 -1 1172 1633 -1 1175 1572 -1 1175 1574 -1 1175 1593 -1 1175 1634 -1 1175 1635 -1 1177 1555 -1 1177 1572 -1 1177 1593 -1 1177 1594 -1 1177 1619 -1 1177 1634 -1 1181 1564 -1 1181 1573 -1 1181 1584 -1 1181 1585 -1 1181 1626 -1 1181 1628 -1 1183 1610 -1 1185 1574 -1 1185 1575 -1 1185 1593 -1 1185 1595 -1 1185 1612 -1 1185 1615 -1 1185 1635 -1 1187 1539 -1 1187 1565 -1 1187 1586 -1 1187 1601 -1 1187 1629 -1 1188 1550 -1 1188 1576 -1 1188 1581 -1 1188 1613 -1 1188 1614 -1 1188 1630 -1 1188 1631 -1 1192 1636 -1 1192 1641 -1 1192 1702 -1 1192 1703 -1 1193 1195 -1 1193 1196 -1 1193 1276 -1 1193 1278 -1 1193 1637 -1 1194 1196 -1 1194 1298 -1 1194 1638 -1 1194 1669 -1 1194 1697 -1 1194 1704 -1 1194 1705 -1 1195 1276 -1 1195 1637 -1 1195 1639 -1 1195 1702 -1 1195 1706 -1 1196 1298 -1 1196 1637 -1 1196 1638 -1 1197 1638 -1 1197 1640 -1 1197 1697 -1 1197 1698 -1 1197 1704 -1 1198 1316 -1 1198 1642 -1 1198 1703 -1 1198 1706 -1 1198 1707 -1 1199 1316 -1 1199 1643 -1 1199 1707 -1 1199 1708 -1 1199 1709 -1 1200 1644 -1 1200 1679 -1 1200 1710 -1 1200 1711 -1 1201 1323 -1 1201 1645 -1 1201 1684 -1 1201 1708 -1 1201 1709 -1 1201 1710 -1 1201 1712 -1 1202 1646 -1 1202 1650 -1 1202 1651 -1 1202 1667 -1 1202 1668 -1 1202 1713 -1 1202 1714 -1 1203 1647 -1 1203 1652 -1 1203 1672 -1 1203 1674 -1 1203 1715 -1 1204 1648 -1 1204 1651 -1 1204 1652 -1 1204 1676 -1 1204 1677 -1 1204 1716 -1 1204 1717 -1 1205 1649 -1 1205 1650 -1 1205 1680 -1 1205 1718 -1 1206 1293 -1 1206 1650 -1 1206 1667 -1 1206 1681 -1 1206 1685 -1 1206 1713 -1 1206 1718 -1 1206 1719 -1 1207 1309 -1 1207 1653 -1 1207 1656 -1 1207 1670 -1 1207 1671 -1 1207 1688 -1 1207 1720 -1 1207 1721 -1 1208 1654 -1 1208 1657 -1 1208 1673 -1 1208 1675 -1 1208 1722 -1 1209 1309 -1 1209 1325 -1 1209 1656 -1 1209 1657 -1 1210 1653 -1 1210 1655 -1 1210 1688 -1 1210 1689 -1 1210 1720 -1 1211 1331 -1 1211 1658 -1 1211 1683 -1 1211 1723 -1 1211 1724 -1 1211 1725 -1 1211 1726 -1 1212 1659 -1 1212 1687 -1 1212 1723 -1 1212 1726 -1 1212 1727 -1 1213 1660 -1 1213 1690 -1 1213 1692 -1 1213 1728 -1 1214 1661 -1 1214 1693 -1 1214 1724 -1 1214 1729 -1 1215 1307 -1 1215 1308 -1 1215 1665 -1 1216 1307 -1 1216 1339 -1 1216 1666 -1 1217 1663 -1 1217 1665 -1 1217 1694 -1 1217 1695 -1 1217 1730 -1 1218 1664 -1 1218 1666 -1 1218 1699 -1 1218 1701 -1 1218 1731 -1 1219 1220 -1 1220 1289 -1 1221 1322 -1 1222 1302 -1 1222 1303 -1 1223 1226 -1 1224 1225 -1 1224 1228 -1 1224 1285 -1 1224 1288 -1 1225 1285 -1 1226 1227 -1 1227 1228 -1 1229 1290 -1 1230 1315 -1 1231 1234 -1 1231 1289 -1 1232 1234 -1 1232 1235 -1 1232 1305 -1 1232 1306 -1 1233 1235 -1 1236 1238 -1 1237 1239 -1 1237 1240 -1 1237 1276 -1 1237 1277 -1 1238 1241 -1 1239 1241 -1 1239 1276 -1 1239 1316 -1 1240 1277 -1 1240 1319 -1 1241 1301 -1 1241 1316 -1 1242 1243 -1 1242 1246 -1 1242 1275 -1 1242 1278 -1 1243 1275 -1 1244 1245 -1 1244 1318 -1 1245 1321 -1 1246 1321 -1 1247 1248 -1 1247 1250 -1 1247 1285 -1 1247 1286 -1 1248 1285 -1 1249 1251 -1 1249 1291 -1 1249 1292 -1 1249 1668 -1 1250 1291 -1 1250 1676 -1 1251 1328 -1 1252 1256 -1 1252 1295 -1 1253 1255 -1 1253 1256 -1 1253 1304 -1 1253 1305 -1 1254 1257 -1 1254 1330 -1 1255 1257 -1 1255 1304 -1 1257 1330 -1 1257 1331 -1 1258 1260 -1 1258 1263 -1 1258 1297 -1 1258 1299 -1 1259 1261 -1 1259 1263 -1 1259 1306 -1 1259 1307 -1 1260 1262 -1 1260 1297 -1 1260 1322 -1 1261 1262 -1 1261 1338 -1 1262 1322 -1 1262 1338 -1 1264 1266 -1 1264 1268 -1 1264 1301 -1 1264 1302 -1 1265 1268 -1 1265 1269 -1 1265 1314 -1 1265 1315 -1 1266 1267 -1 1266 1301 -1 1266 1323 -1 1267 1323 -1 1267 1333 -1 1268 1314 -1 1269 1315 -1 1269 1333 -1 1270 1310 -1 1270 1311 -1 1271 1272 -1 1271 1274 -1 1271 1317 -1 1272 1273 -1 1272 1317 -1 1272 1330 -1 1273 1310 -1 1273 1330 -1 1273 1686 -1 1274 1311 -1 1275 1277 -1 1275 1296 -1 1277 1296 -1 1279 1284 -1 1279 1309 -1 1279 1313 -1 1279 1671 -1 1280 1281 -1 1280 1283 -1 1281 1284 -1 1282 1283 -1 1282 1309 -1 1282 1334 -1 1283 1334 -1 1286 1326 -1 1286 1678 -1 1287 1288 -1 1287 1326 -1 1287 1334 -1 1288 1334 -1 1290 1328 -1 1291 1651 -1 1291 1668 -1 1291 1676 -1 1291 1714 -1 1291 1716 -1 1292 1294 -1 1292 1329 -1 1293 1294 -1 1293 1333 -1 1293 1667 -1 1293 1685 -1 1294 1329 -1 1294 1333 -1 1297 1321 -1 1298 1321 -1 1298 1669 -1 1299 1339 -1 1299 1732 -1 1300 1669 -1 1300 1697 -1 1300 1700 -1 1300 1705 -1 1300 1732 -1 1300 1733 -1 1304 1308 -1 1304 1734 -1 1308 1665 -1 1308 1695 -1 1308 1730 -1 1308 1734 -1 1308 1735 -1 1309 1656 -1 1309 1671 -1 1310 1312 -1 1310 1336 -1 1310 1686 -1 1310 1736 -1 1311 1313 -1 1311 1337 -1 1312 1670 -1 1312 1688 -1 1312 1691 -1 1312 1721 -1 1312 1736 -1 1314 1335 -1 1316 1707 -1 1319 1320 -1 1323 1684 -1 1323 1709 -1 1324 1326 -1 1324 1652 -1 1324 1674 -1 1324 1677 -1 1324 1678 -1 1324 1715 -1 1324 1717 -1 1324 1737 -1 1325 1326 -1 1325 1657 -1 1325 1675 -1 1325 1722 -1 1325 1737 -1 1326 1678 -1 1326 1737 -1 1327 1682 -1 1327 1684 -1 1327 1685 -1 1327 1711 -1 1327 1712 -1 1327 1719 -1 1331 1726 -1 1332 1683 -1 1332 1696 -1 1332 1725 -1 1332 1729 -1 1332 1734 -1 1332 1735 -1 1336 1662 -1 1336 1686 -1 1336 1687 -1 1336 1692 -1 1336 1727 -1 1336 1728 -1 1336 1736 -1 1339 1666 -1 1339 1701 -1 1339 1731 -1 1339 1732 -1 1339 1733 -1 1340 1342 -1 1340 1401 -1 1341 1343 -1 1341 1344 -1 1341 1403 -1 1342 1401 -1 1345 1349 -1 1345 1402 -1 1346 1347 -1 1346 1406 -1 1347 1350 -1 1347 1406 -1 1347 1408 -1 1348 1349 -1 1348 1350 -1 1348 1410 -1 1348 1411 -1 1349 1402 -1 1349 1410 -1 1350 1411 -1 1351 1352 -1 1351 1407 -1 1352 1353 -1 1352 1407 -1 1352 1414 -1 1353 1354 -1 1353 1414 -1 1353 1415 -1 1354 1355 -1 1354 1417 -1 1355 1417 -1 1356 1357 -1 1356 1359 -1 1356 1420 -1 1358 1360 -1 1360 1423 -1 1361 1363 -1 1361 1365 -1 1361 1424 -1 1361 1425 -1 1362 1363 -1 1362 1366 -1 1362 1427 -1 1363 1424 -1 1363 1427 -1 1364 1366 -1 1366 1428 -1 1366 1431 -1 1367 1368 -1 1368 1371 -1 1368 1432 -1 1369 1370 -1 1369 1435 -1 1372 1426 -1 1373 1433 -1 1373 1434 -1 1374 1421 -1 1374 1422 -1 1375 1377 -1 1375 1404 -1 1376 1436 -1 1378 1428 -1 1379 1408 -1 1380 1415 -1 1381 1418 -1 1381 1439 -1 1382 1384 -1 1383 1385 -1 1384 1385 -1 1384 1423 -1 1384 1438 -1 1385 1431 -1 1385 1438 -1 1386 1390 -1 1386 1419 -1 1387 1388 -1 1387 1389 -1 1387 1420 -1 1387 1422 -1 1389 1390 -1 1389 1440 -1 1390 1419 -1 1390 1440 -1 1391 1392 -1 1391 1395 -1 1391 1403 -1 1391 1404 -1 1393 1394 -1 1393 1395 -1 1393 1435 -1 1393 1436 -1 1396 1397 -1 1396 1400 -1 1396 1425 -1 1396 1426 -1 1398 1399 -1 1398 1400 -1 1398 1432 -1 1398 1434 -1 1401 1402 -1 1401 1405 -1 1402 1405 -1 1406 1407 -1 1406 1409 -1 1407 1409 -1 1410 1412 -1 1411 1413 -1 1414 1416 -1 1417 1418 -1 1417 1419 -1 1418 1419 -1 1424 1429 -1 1427 1430 -1 1437 1438 -1 1439 1440 -1 1441 1443 -1 1441 1499 -1 1442 1444 -1 1444 1501 -1 1445 1446 -1 1445 1502 -1 1446 1449 -1 1446 1502 -1 1446 1504 -1 1447 1448 -1 1447 1506 -1 1448 1449 -1 1448 1506 -1 1448 1508 -1 1449 1508 -1 1450 1452 -1 1450 1503 -1 1451 1453 -1 1451 1454 -1 1451 1510 -1 1451 1511 -1 1452 1453 -1 1452 1503 -1 1452 1513 -1 1453 1510 -1 1453 1513 -1 1455 1456 -1 1455 1515 -1 1456 1457 -1 1456 1515 -1 1457 1458 -1 1458 1459 -1 1458 1518 -1 1459 1518 -1 1460 1461 -1 1460 1516 -1 1461 1464 -1 1461 1516 -1 1461 1521 -1 1462 1463 -1 1462 1522 -1 1463 1464 -1 1463 1522 -1 1463 1524 -1 1464 1524 -1 1465 1466 -1 1466 1468 -1 1466 1526 -1 1467 1469 -1 1469 1529 -1 1470 1512 -1 1471 1500 -1 1472 1527 -1 1472 1528 -1 1473 1530 -1 1474 1476 -1 1475 1477 -1 1475 1507 -1 1476 1477 -1 1476 1501 -1 1476 1534 -1 1477 1507 -1 1477 1534 -1 1478 1509 -1 1478 1535 -1 1479 1483 -1 1479 1523 -1 1480 1482 -1 1481 1482 -1 1481 1483 -1 1481 1530 -1 1481 1531 -1 1482 1529 -1 1483 1523 -1 1484 1485 -1 1484 1531 -1 1485 1525 -1 1486 1504 -1 1487 1521 -1 1488 1519 -1 1488 1532 -1 1489 1490 -1 1489 1493 -1 1489 1499 -1 1489 1500 -1 1491 1492 -1 1491 1493 -1 1491 1526 -1 1491 1528 -1 1494 1495 -1 1494 1497 -1 1494 1511 -1 1494 1512 -1 1496 1498 -1 1496 1520 -1 1497 1498 -1 1497 1533 -1 1498 1520 -1 1498 1533 -1 1502 1503 -1 1502 1505 -1 1503 1505 -1 1506 1507 -1 1506 1509 -1 1507 1509 -1 1510 1514 -1 1515 1516 -1 1515 1517 -1 1516 1517 -1 1518 1519 -1 1518 1520 -1 1519 1520 -1 1522 1523 -1 1522 1525 -1 1523 1525 -1 1532 1533 -1 1534 1535 -1 1536 1539 -1 1537 1538 -1 1538 1602 -1 1539 1601 -1 1540 1541 -1 1540 1542 -1 1540 1603 -1 1540 1604 -1 1541 1543 -1 1541 1603 -1 1541 1605 -1 1542 1545 -1 1544 1545 -1 1545 1608 -1 1545 1609 -1 1546 1547 -1 1546 1549 -1 1546 1610 -1 1546 1611 -1 1547 1550 -1 1547 1610 -1 1548 1550 -1 1549 1611 -1 1550 1613 -1 1550 1614 -1 1551 1552 -1 1551 1616 -1 1552 1553 -1 1552 1616 -1 1554 1555 -1 1555 1619 -1 1556 1558 -1 1556 1617 -1 1557 1559 -1 1557 1560 -1 1557 1620 -1 1557 1621 -1 1558 1559 -1 1558 1617 -1 1558 1623 -1 1559 1620 -1 1559 1623 -1 1561 1563 -1 1561 1624 -1 1562 1564 -1 1564 1626 -1 1565 1629 -1 1566 1606 -1 1566 1607 -1 1567 1569 -1 1567 1622 -1 1568 1625 -1 1569 1627 -1 1570 1604 -1 1571 1608 -1 1571 1632 -1 1572 1634 -1 1573 1628 -1 1574 1575 -1 1574 1635 -1 1575 1612 -1 1576 1613 -1 1576 1630 -1 1577 1578 -1 1577 1580 -1 1577 1605 -1 1577 1607 -1 1579 1581 -1 1580 1581 -1 1580 1631 -1 1581 1614 -1 1581 1631 -1 1582 1586 -1 1583 1585 -1 1584 1585 -1 1584 1586 -1 1584 1628 -1 1585 1626 -1 1586 1601 -1 1586 1629 -1 1587 1589 -1 1588 1590 -1 1589 1590 -1 1589 1602 -1 1589 1633 -1 1590 1609 -1 1590 1633 -1 1591 1595 -1 1591 1615 -1 1592 1594 -1 1593 1594 -1 1593 1595 -1 1593 1634 -1 1593 1635 -1 1594 1619 -1 1595 1615 -1 1596 1597 -1 1596 1600 -1 1596 1621 -1 1596 1622 -1 1598 1599 -1 1598 1600 -1 1598 1624 -1 1598 1625 -1 1603 1606 -1 1611 1612 -1 1611 1615 -1 1612 1615 -1 1616 1617 -1 1616 1618 -1 1617 1618 -1 1630 1631 -1 1632 1633 -1 1636 1639 -1 1636 1702 -1 1637 1639 -1 1638 1640 -1 1638 1704 -1 1639 1702 -1 1641 1642 -1 1641 1703 -1 1642 1643 -1 1642 1703 -1 1642 1707 -1 1643 1645 -1 1643 1707 -1 1643 1708 -1 1644 1645 -1 1644 1710 -1 1645 1708 -1 1645 1710 -1 1646 1650 -1 1646 1651 -1 1647 1652 -1 1648 1651 -1 1648 1652 -1 1649 1650 -1 1650 1713 -1 1650 1718 -1 1651 1714 -1 1651 1716 -1 1652 1715 -1 1652 1717 -1 1653 1655 -1 1653 1656 -1 1653 1720 -1 1654 1657 -1 1657 1722 -1 1658 1659 -1 1658 1661 -1 1658 1723 -1 1658 1724 -1 1659 1662 -1 1659 1723 -1 1659 1727 -1 1660 1662 -1 1660 1728 -1 1661 1724 -1 1662 1727 -1 1662 1728 -1 1663 1665 -1 1664 1666 -1 1665 1730 -1 1666 1731 -1 1667 1713 -1 1668 1714 -1 1669 1705 -1 1670 1671 -1 1670 1721 -1 1672 1674 -1 1673 1675 -1 1674 1675 -1 1674 1715 -1 1674 1737 -1 1675 1722 -1 1675 1737 -1 1676 1716 -1 1677 1678 -1 1677 1717 -1 1679 1682 -1 1679 1711 -1 1680 1681 -1 1680 1718 -1 1681 1682 -1 1681 1718 -1 1681 1719 -1 1682 1711 -1 1682 1719 -1 1683 1725 -1 1683 1734 -1 1684 1712 -1 1685 1719 -1 1686 1687 -1 1687 1727 -1 1688 1689 -1 1688 1691 -1 1688 1720 -1 1688 1721 -1 1690 1692 -1 1691 1692 -1 1691 1736 -1 1692 1728 -1 1692 1736 -1 1693 1696 -1 1693 1729 -1 1694 1695 -1 1695 1696 -1 1695 1730 -1 1695 1735 -1 1696 1729 -1 1696 1735 -1 1697 1698 -1 1697 1700 -1 1697 1704 -1 1697 1705 -1 1699 1701 -1 1700 1701 -1 1700 1733 -1 1701 1731 -1 1701 1733 -1 1702 1703 -1 1702 1706 -1 1703 1706 -1 1708 1709 -1 1710 1711 -1 1710 1712 -1 1711 1712 -1 1723 1726 -1 1724 1725 -1 1724 1729 -1 1725 1729 -1 1732 1733 -1 1734 1735 -1 \\\">\\n\",\n       \"            <coordinate point=\\\"-0.998757 0.0498459 0 -0.998757 -0.0498459 0 -0.988831 -0.149042 0 -0.969077 -0.246757 0 -0.939693 -0.34202 0 -0.900969 -0.433884 0 -0.853291 -0.521435 0 -0.797133 -0.603804 0 -0.733052 -0.680173 0 -0.661686 -0.749781 0 -0.583744 -0.811938 0 -0.5 -0.866025 0 -0.411287 -0.911506 0 -0.318487 -0.947927 0 -0.222521 -0.974928 0 -0.124344 -0.992239 0 -0.0249307 -0.999689 0 0.0747301 -0.997204 0 0.173648 -0.984808 0 0.27084 -0.962624 0 0.365341 -0.930874 0 0.456211 -0.889872 0 0.542546 -0.840026 0 0.62349 -0.781831 0 0.698237 -0.715867 0 0.766044 -0.642788 0 0.826239 -0.56332 0 0.878222 -0.478254 0 0.921476 -0.388435 0 0.955573 -0.294755 0 0.980172 -0.198146 0 0.995031 -0.0995678 0 1 0 0 0.995031 0.0995678 0 0.980172 0.198146 0 0.955573 0.294755 0 0.921476 0.388435 0 0.878222 0.478254 0 0.826239 0.56332 0 0.766044 0.642788 0 0.698237 0.715867 0 0.62349 0.781831 0 0.542546 0.840026 0 0.456211 0.889872 0 0.365341 0.930874 0 0.27084 0.962624 0 0.173648 0.984808 0 0.0747301 0.997204 0 -0.0249307 0.999689 0 -0.124344 0.992239 0 -0.222521 0.974928 0 -0.318487 0.947927 0 -0.411287 0.911506 0 -0.5 0.866025 0 -0.583744 0.811938 0 -0.661686 0.749781 0 -0.733052 0.680173 0 -0.797133 0.603804 0 -0.853291 0.521435 0 -0.900969 0.433884 0 -0.939693 0.34202 0 -0.969077 0.246757 0 -0.988831 0.149042 0 0.45 -0.313397 0 0.5 -0.4 0 0.45 -0.486603 0 0.35 -0.486603 0 0.3 -0.4 0 0.35 -0.313397 0 0.45 0.486603 0 0.5 0.4 0 0.45 0.313397 0 0.35 0.313397 0 0.3 0.4 0 0.35 0.486603 0 0.23097 0.0956709 0 0.25 0 0 0.23097 -0.0956709 0 0.176777 -0.176777 0 0.0956709 -0.23097 0 -4.59243e-17 -0.25 0 -0.0956709 -0.23097 0 -0.176777 -0.176777 0 -0.23097 -0.0956709 0 -0.25 3.06162e-17 0 -0.23097 0.0956709 0 -0.176777 0.176777 0 -0.0956709 0.23097 0 1.53081e-17 0.25 0 0.0956709 0.23097 0 0.176777 0.176777 0 -0.35 -0.313397 0 -0.3 -0.4 0 -0.35 -0.486603 0 -0.45 -0.486603 0 -0.5 -0.4 0 -0.45 -0.313397 0 -0.35 0.486603 0 -0.3 0.4 0 -0.35 0.313397 0 -0.45 0.313397 0 -0.5 0.4 0 -0.45 0.486603 0 0 -0.625324 0 0.0050181 0.628043 0 -0.637151 1.249e-16 0 0.654319 0.0326557 0 0.237005 -0.712405 0 0.241237 0.712759 0 0.706982 -0.25732 0 -0.280053 0.713563 0 -0.280053 -0.713563 0 -0.727916 -0.224532 0 -0.703392 0.246225 0 0.719526 0.261886 0 0.447512 0.0968663 0 -0.443575 0.0882327 0 0.436104 -0.108342 0 -0.0934226 0.441703 0 0.0870564 -0.437662 0 -0.469102 -0.112225 0 0.104127 0.428762 0 -0.10709 -0.425181 0 -0.0606485 -0.809298 0 -0.0606845 0.809778 0 -0.810214 0.0810741 0 -0.692573 -0.41438 0 -0.685736 0.43427 0 0.802664 -0.0901731 0 0.479961 0.667586 0 0.479961 -0.667586 0 0.65563 0.49662 0 0.682404 -0.443138 0 -0.517553 0.64899 0 -0.461251 -0.672136 0 0.815944 0.110569 0 -0.604992 -0.563697 0 -0.200973 -0.564933 0 -0.159952 0.596021 0 0.56873 0.203753 0 0.0904005 0.761655 0 -0.829817 -0.0880894 0 0.204022 0.55563 0 0.109488 -0.826316 0 0.150708 -0.581213 0 0.602512 -0.126523 0 -0.586627 0.145615 0 0.58352 -0.55747 0 -0.574492 -0.223725 0 0.372978 -0.768567 0 -0.140302 -0.692566 0 0.375484 0.768834 0 -0.638874 0.57079 0 -0.803474 0.338693 0 0.200525 0.844269 0 0.759617 0.398863 0 -0.417522 0.750128 0 -0.385098 0.618023 0 -0.201726 -0.833336 0 -0.236626 0.841018 0 -0.179834 0.337246 0 0.179228 -0.337978 0 0.205007 0.306815 0 -0.205007 -0.306815 0 0.580737 -0.295652 0 -0.575761 0.276287 0 0.530492 -0.0150634 0 0.629657 0.364806 0 -0.840779 0.210771 0 -0.804718 -0.339217 0 0.839391 -0.222157 0 0.277753 -0.591622 0 0.265565 -0.83594 0 0.789819 -0.362811 0 0.348267 0.625 0 0.103457 -0.699284 0 -0.340259 0.177323 0 -0.34512 -0.174666 0 0.338789 0.178127 0 0.299077 -0.199837 0 -0.361355 -0.0525913 0 0.549331 0.56313 0 -0.391126 -0.782398 0 -0.706772 -0.102468 0 -0.850853 -0.210074 0 -0.230094 0.498095 0 -0.162967 0.744795 0 0.843638 0.234593 0 0.700524 0.143402 0 -0.314455 -0.599907 0 0.510221 -0.200607 0 0.0438873 0.876856 0 0.124214 0.64596 0 0.20296 -0.472157 0 -0.702872 0.128767 0 -0.586799 -0.106535 0 -0.0844601 -0.541794 0 -0.481851 0.199815 0 -0.601381 -0.338966 0 0.593378 -0.67238 0 0.594292 0.668251 0 0.392526 -0.593219 0 0.0100033 0.506237 0 0.558901 0.0927216 0 -0.274038 0.601432 0 -0.255138 0.255548 0 -0.560498 0.492664 0 0.37346 -0.00193847 0 0.0168686 -0.893302 0 -0.894492 0.00512302 0 0.901284 -0.0449812 0 0.443745 0.205189 0 0.695971 -0.554799 0 -0.712973 -0.526689 0 -0.575666 -0.67431 0 0.00102128 0.369113 0 -0.34293 0.0525808 0 -0.518388 -0.00409499 0 0.404589 -0.21668 0 -0.743806 -0.00241945 0 0.020039 -0.520596 0 -0.00585873 -0.366742 0 0.333476 -0.102997 0 -0.0659766 0.705121 0 0.695393 -0.0687327 0 0.7675 0.0129635 0 -0.751544 0.512394 0 -0.330188 0.801771 0 -0.47301 -0.214089 0 0.333984 -0.675456 0 0.107548 0.528831 0 0.780112 -0.461813 0 0.207332 0.450261 0 0.108291 0.329507 0 -0.494884 -0.766231 0 0.0295567 -0.766452 0 -0.306085 -0.843782 0 -0.109621 -0.327591 0 -0.20945 -0.457828 0 -0.592634 -0.456105 0 -0.0801548 -0.905065 0 -0.138051 0.885121 0 -0.791264 -0.440386 0 -0.710209 -0.319449 0 -0.280396 -0.246394 0 0.755812 -0.174313 0 -0.657359 0.336754 0 -0.0817965 0.538215 0 -0.904771 0.101264 0 0.304907 0.845754 0 0.884478 -0.138509 0 0.598082 -0.39248 0 0.696884 -0.350519 0 0.0853243 -0.343605 0 0.546627 0.315345 0 0.896255 0.157739 0 0.901737 0.0564528 0 -0.501923 -0.576561 0 -0.408831 -0.593387 0 -0.367238 -0.677918 0 0.257367 0.227365 0 -0.0463136 -0.708683 0 0.796012 0.313855 0 0.460546 -0.797689 0 -0.088835 0.349938 0 -0.593432 0.405081 0 0.474978 0.766972 0 0.489711 -0.573 0 0.458616 0.578148 0 0.356244 0.0881171 0 0.581226 0.442815 0 0.753856 0.49692 0 0.671816 0.599181 0 0.225038 -0.256662 0 0.537811 -0.746535 0 -0.0461216 0.902126 0 -0.805673 0.433963 0 -0.644716 0.660995 0 -0.651463 -0.174912 0 0.867315 -0.315677 0 0.554834 -0.471801 0 -0.513884 0.745398 0 -0.464848 0.575671 0 0.205848 -0.901879 0 -0.4 0.241432 0 0.102242 -0.913821 0 -0.919503 -0.0920102 0 -0.680833 -0.608949 0 0.627834 0.273445 0 0.190168 -0.788302 0 0.62532 -0.215426 0 -0.782533 -0.159049 0 0.774703 0.184882 0 0.131212 0.903853 0 -0.216124 0.414183 0 -0.217963 -0.651246 0 -0.270646 -0.516559 0 -0.214048 0.660877 0 -0.0787419 0.622128 0 0.611798 -0.0415255 0 0.519311 -0.117403 0 0.0196661 0.71277 0 -0.644831 -0.26807 0 -0.529393 0.0812959 0 -0.441762 -0.0344663 0 -0.891925 0.275122 0 -0.258529 0.173812 0 0.348433 -0.848745 0 0.839856 0.38292 0 -0.556048 0.575503 0 0.25975 -0.329779 0 -0.715308 0.600215 0 -0.426168 0.831271 0 0.259208 0.625531 0 0.288589 0.5456 0 0.670031 -0.635714 0 0.505651 0.153387 0 -0.0853734 -0.627183 0 0.87625 0.308128 0 0.680042 -0.147595 0 -0.174828 0.257078 0 -0.779569 0.156746 0 -0.915175 0.180795 0 -0.873238 -0.290883 0 -0.0439291 -0.473427 0 -0.255874 -0.17097 0 -0.165583 -0.910967 0 0.159982 0.719203 0 0.0194008 0.799979 0 -0.4 -0.249493 0 0.385961 0.849286 0 0.450319 -0.0283311 0 0.174799 -0.659345 0 0.100914 -0.517405 0 0.0807506 -0.621707 0 0.170949 0.379109 0 -0.576931 0.699524 0 -0.247867 -0.898882 0 0.536822 0.720255 0 -0.652073 0.187722 0 -0.636664 0.0814037 0 -0.150362 0.497518 0 -0.17686 -0.383215 0 -0.203296 -0.748865 0 -0.136545 -0.789874 0 -0.53102 -0.294626 0 -0.529257 -0.160925 0 -0.745586 0.38769 0 -0.275834 0.328313 0 0.638534 -0.505123 0 -0.818916 0.00599643 0 -0.922947 -0.186578 0 -0.527798 -0.501663 0 0.506754 0.249462 0 -0.151892 -0.50716 0 0.620717 0.1432 0 0.784363 -0.281826 0 0.666365 0.209646 0 -0.135583 0.673349 0 0.12649 0.828253 0 0.27732 -0.470829 0 -0.733198 0.31436 0 -0.789559 0.265234 0 0.253518 0.788617 0 0.278182 0.470331 0 0.304076 -0.742701 0 0.408454 -0.698989 0 0.719222 0.0705884 0 -0.34397 0.876421 0 0.323669 0.704147 0 0.401606 0.684973 0 0.75307 0.570428 0 0.831453 -0.0227949 0 0.837969 -0.417509 0 -0.4 0.540709 0 0.278054 0.297976 0 -0.276656 -0.328787 0 -0.522963 0.329008 0 -0.677703 0.507816 0 0.0249849 -0.693751 0 0.545452 -0.618614 0 -0.414286 0.168231 0 0.378035 0.242974 0 0.203336 0.917646 0 0.909025 -0.205715 0 0.70551 0.340344 0 0.704901 0.444845 0 0.810555 0.451054 0 0.0469118 0.568752 0 -0.133884 0.812006 0 -0.348473 0.733027 0 -0.441828 0.674131 0 -0.649897 -0.67646 0 0.4 0.537486 0 -0.322799 0.655043 0 0.914689 0.226799 0 0.217527 -0.546183 0 0.0131564 0.940333 0 -0.782652 -0.511236 0 -0.265991 -0.784086 0 -0.329577 0.555632 0 -0.660541 -0.478206 0 0.501547 0.0502019 0 -0.394884 -0.119167 0 -0.307189 -0.107504 0 0.5248 0.492242 0 0.291563 0.0579955 0 -0.767565 -0.281039 0 -0.562434 -0.744138 0 0.318091 -0.946749 0 -0.740353 0.0684826 0 -0.0201102 0.439353 0 -0.4499 -0.818565 0 -0.847629 0.141323 0 0.194897 0.656797 0 -0.330383 0.246416 0 -0.302015 0.114545 0 0.158106 -0.410902 0 0.229093 -0.405972 0 -0.871588 0.340146 0 -0.379217 0.11003 0 0.0158515 -0.434624 0 0.155002 -0.270768 0 0.29545 -0.269661 0 0.270014 0.156337 0 0.397062 0.14273 0 -0.498356 0.2657 0 -0.148314 0.399141 0 -0.869227 -0.144099 0 -0.7478 -0.375536 0 -0.871649 -0.367431 0 -0.583069 0.0403796 0 -0.15423 -0.6251 0 -0.266002 0.779902 0 -0.206333 0.905525 0 -0.278827 0.8935 0 0.0478354 0.240485 0 0.0403635 0.310599 0 -0.0478354 -0.240485 0 0.83465 0.0451607 0 0.737059 -0.404241 0 0.382405 -0.151474 0 -0.0333055 0.309846 0 0.820602 -0.158055 0 0.192332 0.241483 0 -0.21126 -0.237374 0 -0.147639 -0.272784 0 0.239117 0.367054 0 -0.0433807 -0.30911 0 -0.62529 0.464879 0 0.584917 0.0282284 0 0.240485 -0.0478354 0 0.311184 -0.0357383 0 0.562757 0.379398 0 0.511169 -0.273585 0 0.545642 -0.351906 0 0.644496 -0.278583 0 -0.408491 0.0273882 0 0.47335 -0.7331 0 0.187952 0.77924 0 -0.552797 0.20859 0 -0.637466 0.252295 0 0.589713 0.509426 0 -0.3759 -0.850904 0 -0.341261 -0.738828 0 -0.417103 -0.721488 0 0.796142 -0.603054 0 0.76295 -0.530846 0 -0.411127 -0.183793 0 -0.591996 0.339669 0 0.17252 -0.725011 0 -0.111209 -0.84887 0 -0.52074 0.14662 0 0.604527 0.601698 0 0.0429594 -0.831852 0 0.239834 -0.646095 0 0.335672 -0.554107 0 0.0942397 -0.763381 0 0.781541 0.248052 0 0.147845 0.477361 0 0.269198 -0.899241 0 0.0282545 -0.309936 0 -0.510367 0.53151 0 -0.101004 0.757881 0 -0.128286 0.300224 0 -0.0265937 0.756234 0 -0.240485 0.0478354 0 -0.584777 0.634434 0 0.510972 0.612918 0 0.428698 0.0338144 0 -0.0206525 0.565987 0 0.0434492 0.450957 0 0.835148 0.169826 0 0.23664 -0.195132 0 0.279436 -0.138331 0 0.252232 0.87903 0 0.318091 0.946749 0 0.446544 0.825513 0 -0.237106 -0.401324 0 -0.517958 -0.699542 0 0.0830248 0.696711 0 -0.512886 -0.637668 0 -0.712673 -0.164309 0 -0.768681 -0.0985853 0 -0.689616 -0.0392388 0 -0.691199 0.0305538 0 -0.790065 -0.223088 0 0.643201 0.435461 0 0.0749606 0.931077 0 0.312471 0.766212 0 0.386873 -0.0656845 0 0.403877 -0.821872 0 -0.526189 -0.0729484 0 -0.578806 -0.0321184 0 -0.315023 -0.0065082 0 0.626102 -0.337493 0 -0.646124 -0.0849819 0 -0.48451 0.80313 0 0.251078 -0.775384 0 0.169485 -0.849028 0 0.704632 0.533152 0 -0.4 -0.486603 0 -0.358524 -0.551504 0 -0.240485 -0.0478354 0 0.148602 0.283863 0 0.317698 0.23519 0 0.733405 -0.117058 0 -0.0869856 -0.754217 0 -0.621315 -0.622519 0 0.333854 -0.614768 0 -0.0115895 0.852188 0 0.34719 -0.237343 0 -0.205581 0.788478 0 -0.219518 0.721712 0 0.433504 -0.546509 0 0.430961 0.632014 0 0.141121 -0.470389 0 0.461831 -0.237731 0 0.276062 -0.531231 0 -0.379531 0.679583 0 0.16693 0.60328 0 0.0661509 0.626792 0 -0.325 0.443301 0 -0.291433 0.50681 0 -0.189898 0.543388 0 0.507142 -0.512663 0 -0.325 -0.443301 0 0.660742 0.0949875 0 0.75591 0.118817 0 -0.745744 0.449633 0 0.583018 0.810929 0 0.622536 -0.447283 0 -0.340518 -0.235579 0 0.732141 0.679327 0 0.659429 0.66332 0 0.660863 0.748849 0 0.565568 -0.0794808 0 -0.173432 0.983584 0 -0.0996742 0.934647 0 0.0650302 0.377407 0 0.725083 -0.484782 0 0.0501121 -0.942851 0 -0.469487 0.0327542 0 -0.0435866 -0.584931 0 -0.259875 -0.575407 0 -0.28001 -0.651516 0 0.561235 -0.236439 0 0.556353 -0.163549 0 0.473179 -0.154462 0 -0.661219 -0.359451 0 -0.63291 -0.412024 0 -0.542046 -0.355125 0 -0.563845 -0.606791 0 -0.139706 -0.566395 0 0.0383539 -0.578382 0 -0.939988 -0.0349485 0 -0.588486 -0.165954 0 0.902147 -0.265998 0 -0.724935 0.1874 0 0.596337 0.728268 0 0.987602 -0.148857 0 0.938788 -0.116295 0 -0.0471289 -0.41215 0 -0.588091 -0.282058 0 0.636368 0.552218 0 0.612024 -0.612902 0 0.531717 0.782268 0 -0.055307 0.486067 0 -0.736893 -0.469726 0 -0.268149 -0.457913 0 -0.737987 -0.583871 0 -0.786348 -0.0427154 0 -0.900431 -0.239845 0 0.410776 -0.910373 0 0.32296 -0.797101 0 0.709235 0.0131852 0 0.426179 -0.642236 0 -0.85329 0.397355 0 0.934065 0.108994 0 0.0533698 -0.391238 0 -0.448583 -0.547384 0 -0.0358832 -0.864212 0 -0.0270008 -0.937471 0 -0.21723 0.593774 0 -0.662073 -0.55421 0 0.562783 0.26056 0 0.680214 0.39174 0 0.536463 -0.674869 0 0.594326 -0.730987 0 0.648161 -0.688449 0 -0.937326 0.0491632 0 -0.876353 -0.0513345 0 -0.8572 0.0484773 0 0.85223 0.520787 0 0.937854 0.00557343 0 0.997515 -0.0497839 0 -0.100497 -0.482016 0 0.100303 -0.288188 0 -0.46083 -0.615594 0 0.230455 0.503724 0 0.704219 -0.199829 0 -0.556669 -0.410961 0 0.475 -0.443301 0 -0.0507989 0.391822 0 -0.364887 -0.929717 0 -0.265147 0.44899 0 0.497276 -0.0632151 0 -0.622715 0.78086 0 -0.570068 0.756353 0 0.639876 -0.561614 0 0.739896 -0.591715 0 -0.993794 0.0994441 0 0.124189 0.991006 0 -0.254169 0.54887 0 0.34434 0.542172 0 -0.0746372 -0.995964 0 0.85223 -0.520787 0 0.565184 0.148116 0 0.757781 -0.231337 0 0.157185 -0.524826 0 0.747542 -0.324983 0 0.722468 0.205723 0 -0.214251 0.21786 0 -0.225101 0.303416 0 0.4 -0.313397 0 0.0729222 0.814204 0 -0.335819 -0.795376 0 -0.610815 0.520562 0 -0.475 0.443301 0 -0.544853 0.436797 0 -0.613598 -0.719905 0 0.536528 0.663545 0 0.204012 -0.601646 0 0.424674 0.738158 0 0.997515 0.0497839 0 0.305497 0.112581 0 -0.845034 -0.418869 0 -0.954385 -0.294389 0 0.664272 -0.0223264 0 0.651069 -0.10103 0 0.755153 -0.0488088 0 0.77949 0.0678374 0 -0.786278 0.210832 0 -0.838498 0.294105 0 -0.268548 0.660288 0 -0.46539 0.146968 0 0.854154 -0.0723337 0 0.484375 0.529545 0 0.450843 0.151209 0 0.431644 0.260174 0 -0.613214 -0.508247 0 -0.184036 0.855688 0 -0.0960684 0.850838 0 -0.154817 -0.45233 0 -0.205445 -0.511399 0 -0.64918 0.133866 0 0.653728 -0.386203 0 -0.821997 -0.268829 0 -0.0318663 -0.532892 0 0.0497509 -0.476061 0 0.422944 -0.75021 0 0.0999925 0.583366 0 0.0907291 -0.569536 0 -0.173086 0.447835 0 -0.00845882 -0.818803 0 0.843619 -0.363993 0 0.875197 0.00920003 0 0.253044 0.423983 0 -0.475 -0.443301 0 -0.585303 0.092982 0 -0.0864218 -0.375817 0 -0.291316 0.840249 0 -0.254232 -0.835296 0 -0.301411 -0.89715 0 -0.0202159 0.676035 0 -0.152119 0.935654 0 -0.252803 0.375993 0 0.343928 0.882063 0 0.346918 0.813462 0 0.325 0.356699 0 0.156655 -0.930494 0 0.124189 -0.991006 0 -0.551151 -0.551649 0 0.715017 0.62944 0 0.0478354 -0.240485 0 0.329513 -0.155928 0 0.285602 -0.694211 0 -0.551465 0.37328 0 0.967873 -0.246451 0 0.49909 0.101974 0 -0.998757 1.249e-16 0 0.475 -0.356699 0 -0.87713 -0.477659 0 0.4 -0.486603 0 0.283237 -0.0851517 0 0.899849 0.433344 0 0.321666 -0.894157 0 -0.291121 0.0628618 0 0.677099 0.294788 0 -0.440763 -0.767573 0 -0.288514 0.215994 0 -0.804704 0.491188 0 -0.825212 0.56262 0 -0.87713 0.477659 0 -0.757785 0.566355 0 -0.802448 -0.390395 0 -0.823186 -0.480215 0 0.38763 0.192867 0 -0.524396 -0.212118 0 -0.477871 -0.162896 0 -0.450796 -0.261262 0 -0.704538 0.356912 0 0.610221 0.0759295 0 0.303912 0.654611 0 0.375736 0.582191 0 -0.0324646 -0.761985 0 -0.648242 0.392294 0 -0.674019 0.288258 0 0.323539 0.0157685 0 -0.374299 0.7767 0 -0.605144 0.211044 0 0.879963 0.106066 0 -0.491211 0.696262 0 -0.447078 0.262075 0 0.132094 -0.629733 0 -0.29354 -0.0556438 0 0.804743 0.501847 0 0.0794525 -0.867881 0 -0.437962 0.621306 0 -0.475 -0.356699 0 0.361254 -0.718756 0 0.16162 0.428758 0 0.0882505 0.479398 0 -0.455644 -0.888766 0 -0.0784022 0.28141 0 -0.374519 0.828427 0 -0.777666 0.0347645 0 0.987602 0.148857 0 -0.136224 -0.203873 0 0.0582225 0.519922 0 0.152562 0.553834 0 0.4 0.313397 0 0.4 0.486603 0 -0.4 0.486603 0 -0.4 -0.313397 0 -0.4 0.313397 0 0.325 0.443301 0 0.325 -0.356699 0 0.475 0.443301 0 0.425 0.512044 0 0.4874 0.489422 0 0.467188 0.508074 0 0.425 0.486603 0 0.475 0.356699 0 0.523313 0.357673 0 0.540613 0.421408 0 0.5124 0.446121 0 0.531379 0.389699 0 0.498313 0.314371 0 0.478377 0.28143 0 0.440822 0.286786 0 0.425 0.313397 0 0.314027 0.305687 0 0.364018 0.278186 0 0.333849 0.274294 0 0.3375 0.335048 0 0.375 0.313397 0 0.289091 0.435166 0 0.269559 0.383527 0 0.276522 0.411992 0 0.3125 0.378349 0 0.3125 0.421651 0 0.319294 0.516101 0 0.314091 0.478467 0 0.375 0.512044 0 0.34717 0.514387 0 0.375 0.486603 0 0.3375 0.464952 0 0.203873 0.136224 0 0.223395 0.166557 0 0.106209 0.379135 0 0.137538 0.403936 0 0.125986 0.453062 0 0.598282 0.238599 0 0.53719 0.17857 0 0.537742 0.226608 0 0.617548 0.206699 0 0.565757 0.232157 0 0.231615 0.59058 0 0.246305 0.550615 0 0.175934 0.516495 0 0.217239 0.529677 0 0.231187 0.26709 0 0.187978 0.342962 0 0.241531 0.302396 0 0.222062 0.336935 0 0.588142 0.340076 0 0.605442 0.403811 0 0.628745 0.319126 0 0.596207 0.372102 0 0.636429 0.400134 0 0.303738 0.625266 0 0.318428 0.5853 0 0.389614 0.628507 0 0.346303 0.583586 0 0.362001 0.603596 0 0.347517 0.133122 0 0.358412 0.21055 0 0.304401 0.167232 0 0.367926 0.160428 0 0.328244 0.206658 0 0.322143 0.145354 0 0.36321 0.185497 0 0.537066 0.527686 0 0.569522 0.536278 0 0.530152 0.588024 0 0.592849 0.557674 0 0.516853 0.546338 0 0.474698 0.179288 0 0.47525 0.227326 0 0.41089 0.224082 0 0.447294 0.178199 0 0.437694 0.232682 0 0.415687 0.199028 0 0.189141 0.414685 0 0.242757 0.460296 0 0.223225 0.408658 0 0.177589 0.463811 0 0.218894 0.476993 0 0.230188 0.437122 0 0.184476 0.43951 0 0.58723 0.294395 0 0.526691 0.282404 0 0.554692 0.347371 0 0.554705 0.287953 0 0.267711 0.26267 0 0.26369 0.191851 0 0.287533 0.231277 0 0.429308 0.557817 0 0.484794 0.595533 0 0.444788 0.605081 0 0.471495 0.553847 0 0.417176 0.580169 0 0.553013 0.467528 0 0.571992 0.411106 0 0.58547 0.47612 0 0.612214 0.439138 0 0.595308 0.267003 0 0.273899 0.585566 0 0.213069 0.614405 0 0.283385 0.507966 0 0.259522 0.524662 0 0.316464 0.543886 0 0.506203 0.201425 0 0.478247 0.152298 0 0.205033 0.373082 0 0.159776 0.331486 0 0.166285 0.403933 0 0.534769 0.255011 0 0.469199 0.254818 0 0.254319 0.487028 0 0.265613 0.447157 0 0.301591 0.456816 0 0.258586 0.332515 0 0.297876 0.266583 0 0.301527 0.327338 0 0.347867 0.239082 0 0.404839 0.251574 0 0.382833 0.217921 0 0.389018 0.278186 0 0.37217 0.539829 0 0.442188 0.533516 0 0.387868 0.559839 0 0.4 0.512044 0 0.557257 0.500834 0 0.504588 0.510894 0 0.293856 0.195764 0 0.246081 0.395519 0 0.282059 0.361876 0 0.616457 0.472443 0 0.55775 0.607308 0 0.18915 0.490543 0 0.154733 0.453059 0 0.470967 0.622466 0 0.497674 0.571232 0 0.403349 0.607102 0 0.360038 0.562181 0 0.474966 0.126591 0 0.419236 0.172038 0 0.415822 0.286786 0 -0.375 0.513656 0 -0.339788 0.521117 0 -0.3375 0.464952 0 -0.320717 0.496707 0 -0.375 0.486603 0 -0.325 0.356699 0 -0.287917 0.364156 0 -0.3125 0.421651 0 -0.282574 0.424495 0 -0.276402 0.387997 0 -0.375 0.277415 0 -0.312917 0.320855 0 -0.340191 0.279907 0 -0.375 0.313397 0 -0.475 0.356699 0 -0.486481 0.321203 0 -0.474178 0.289549 0 -0.448539 0.287736 0 -0.425 0.313397 0 -0.511481 0.364504 0 -0.4875 0.421651 0 -0.522426 0.418399 0 -0.525733 0.38664 0 -0.457424 0.531137 0 -0.425 0.513656 0 -0.480184 0.509056 0 -0.4625 0.464952 0 -0.425 0.486603 0 -0.133254 0.444769 0 -0.4912 0.612331 0 -0.5368 0.612247 0 -0.477758 0.635148 0 -0.155157 0.54677 0 -0.641795 0.615893 0 -0.597461 0.573147 0 -0.658288 0.539303 0 -0.611825 0.602612 0 -0.392549 0.579366 0 -0.413463 0.646077 0 -0.353949 0.636533 0 -0.357337 0.586827 0 -0.41153 0.619664 0 -0.134334 0.343592 0 -0.197979 0.375715 0 -0.177331 0.297162 0 -0.164074 0.368194 0 -0.202468 0.320331 0 -0.216318 0.35662 0 -0.549362 0.302647 0 -0.537059 0.270993 0 -0.564279 0.242438 0 -0.583879 0.307978 0 -0.590453 0.243666 0 -0.37013 0.209377 0 -0.299394 0.175567 0 -0.377273 0.172777 0 -0.335321 0.211869 0 -0.359738 0.143676 0 -0.314387 0.196658 0 -0.223109 0.456139 0 -0.190228 0.497807 0 -0.260764 0.502453 0 -0.209996 0.520741 0 -0.247621 0.473543 0 -0.242131 0.523482 0 -0.20159 0.472965 0 -0.440926 0.220623 0 -0.448069 0.184023 0 -0.490103 0.232757 0 -0.517324 0.204202 0 -0.464465 0.230945 0 -0.298419 0.628238 0 -0.301807 0.578532 0 -0.264103 0.575151 0 -0.214983 0.256313 0 -0.265486 0.29193 0 -0.29276 0.250982 0 -0.24012 0.279482 0 -0.271826 0.235771 0 -0.558273 0.534084 0 -0.592894 0.478771 0 -0.535433 0.512087 0 -0.585657 0.506613 0 -0.517749 0.467982 0 -0.552675 0.46473 0 -0.609361 0.43498 0 -0.592714 0.372375 0 -0.569142 0.420939 0 -0.572448 0.389181 0 -0.620837 0.398688 0 -0.680012 0.630605 0 -0.510448 0.575587 0 -0.432424 0.55819 0 -0.487607 0.55359 0 -0.451405 0.598488 0 -0.407143 0.204831 0 -0.365191 0.243924 0 -0.423539 0.251754 0 -0.4 0.277415 0 -0.182219 0.406662 0 -0.240636 0.431587 0 -0.194605 0.431009 0 -0.234464 0.395088 0 -0.533208 0.553507 0 -0.583432 0.548033 0 -0.696506 0.554015 0 -0.199965 0.280247 0 -0.17013 0.520453 0 -0.161724 0.472677 0 -0.303108 0.287364 0 -0.250468 0.315865 0 -0.264319 0.352153 0 -0.364788 0.54817 0 -0.418981 0.581008 0 -0.4 0.513656 0 -0.510659 0.297354 0 -0.557479 0.334338 0 -0.537214 0.351144 0 -0.644259 0.514189 0 -0.326188 0.605338 0 -0.310505 0.531221 0 -0.291873 0.552251 0 -0.309448 0.231205 0 -0.525576 0.237145 0 -0.472717 0.263888 0 -0.1607 0.423488 0 -0.618053 0.49272 0 -0.585071 0.450838 0 -0.636766 0.428586 0 -0.614731 0.295982 0 -0.57173 0.356475 0 -0.620119 0.365981 0 -0.492684 0.487406 0 -0.308217 0.475056 0 -0.295074 0.446146 0 -0.27829 0.4779 0 -0.272801 0.52784 0 -0.222033 0.546129 0 -0.235699 0.571322 0 -0.258975 0.412492 0 -0.251382 0.216927 0 -0.238952 0.339705 0 -0.509926 0.440049 0 -0.548159 0.405039 0 -0.423539 0.287736 0 0.480584 -0.293491 0 0.455915 -0.275564 0 0.425 -0.313397 0 0.4625 -0.335048 0 0.549041 -0.39624 0 0.527417 -0.4359 0 0.522821 -0.375953 0 0.4875 -0.421651 0 0.4875 -0.378349 0 0.441752 -0.516556 0 0.478571 -0.499633 0 0.4625 -0.464952 0 0.425 -0.486603 0 0.325 -0.443301 0 0.31366 -0.478716 0 0.342836 -0.520355 0 0.313031 -0.508917 0 0.375 -0.486603 0 0.279875 -0.36489 0 0.28866 -0.435415 0 0.264546 -0.402986 0 0.3125 -0.378349 0 0.304875 -0.321588 0 0.322725 -0.291529 0 0.348595 -0.27537 0 0.375 -0.313397 0 0.3375 -0.335048 0 0.233805 -0.145401 0 0.701933 -0.30392 0 0.484836 -0.620293 0 0.444208 -0.683288 0 0.512707 -0.6431 0 0.45307 -0.654911 0 0.660469 -0.47413 0 0.613916 -0.170974 0 0.536615 -0.565235 0 0.569177 -0.514635 0 0.611027 -0.531296 0 0.564486 -0.588042 0 0.545331 -0.535067 0 0.202133 -0.29732 0 0.219489 -0.333878 0 0.168667 -0.37444 0 0.204161 -0.371975 0 0.603028 -0.255539 0 0.545953 -0.284618 0 0.563189 -0.323779 0 0.612616 -0.287117 0 0.60342 -0.316572 0 0.570986 -0.266045 0 0.24764 -0.568902 0 0.306712 -0.572864 0 0.305803 -0.603195 0 0.276907 -0.561427 0 0.262058 -0.228249 0 0.297263 -0.234749 0 0.289256 -0.169084 0 0.323134 -0.21859 0 0.314295 -0.177883 0 0.510695 -0.237096 0 0.486026 -0.219169 0 0.535728 -0.218523 0 0.4917 -0.177534 0 0.24014 -0.471493 0 0.210243 -0.50917 0 0.180533 -0.44153 0 0.216026 -0.439065 0 0.239511 -0.501694 0 0.364099 -0.573663 0 0.36319 -0.603993 0 0.413015 -0.569864 0 0.409352 -0.617727 0 0.393497 -0.184077 0 0.375889 -0.227011 0 0.43321 -0.227205 0 0.438884 -0.185571 0 0.402294 -0.265039 0 0.35794 -0.127236 0 0.380082 -0.658846 0 0.576458 -0.43214 0 0.571862 -0.372193 0 0.612092 -0.364986 0 0.610309 -0.419881 0 0.625905 -0.389342 0 0.67069 -0.314551 0 0.661493 -0.344006 0 0.121715 -0.377254 0 0.517581 -0.595807 0 0.461607 -0.559755 0 0.498426 -0.542832 0 0.457945 -0.607618 0 0.242394 -0.293221 0 0.260244 -0.263162 0 0.596684 -0.488462 0 0.530988 -0.492232 0 0.588685 -0.459542 0 0.514917 -0.457551 0 0.590836 -0.189487 0 0.244422 -0.367875 0 0.2776 -0.29972 0 0.292375 -0.343239 0 0.630535 -0.476203 0 0.681809 -0.494952 0 0.253206 -0.438401 0 0.276691 -0.50103 0 0.246794 -0.538707 0 0.193599 -0.408437 0 0.32132 -0.253502 0 0.384639 -0.108579 0 0.364797 -0.194408 0 0.427792 -0.152968 0 0.355959 -0.153701 0 0.528405 -0.312745 0 0.4865 -0.255658 0 0.536202 -0.255012 0 0.493084 -0.315142 0 0.585872 -0.344699 0 0.510321 -0.354302 0 0.286844 -0.630431 0 0.334763 -0.584437 0 0.384588 -0.550308 0 0.305867 -0.542669 0 0.367836 -0.520355 0 0.258038 -0.166731 0 0.639915 -0.361848 0 0.380016 -0.628502 0 0.373595 -0.27537 0 0.338351 -0.196636 0 0.470323 -0.529586 0 0.429841 -0.594372 0 0.416752 -0.516556 0 0.467505 -0.196096 0 0.430915 -0.275564 0 0.491071 -0.477982 0 0.638132 -0.416743 0 0.558794 -0.199994 0 0.514766 -0.159005 0 -0.325 -0.356699 0 -0.315198 -0.279896 0 -0.375 -0.281445 0 -0.313328 -0.321092 0 -0.345259 -0.274488 0 -0.375 -0.313397 0 -0.288328 -0.364394 0 -0.268553 -0.400662 0 -0.3125 -0.421651 0 -0.284074 -0.428957 0 -0.310323 -0.501581 0 -0.375 -0.486603 0 -0.354262 -0.519053 0 -0.3375 -0.464952 0 -0.309074 -0.472258 0 -0.488899 -0.494133 0 -0.425 -0.486603 0 -0.449292 -0.516994 0 -0.4625 -0.464952 0 -0.521023 -0.377562 0 -0.528334 -0.40548 0 -0.4875 -0.421651 0 -0.4875 -0.378349 0 -0.49051 -0.304012 0 -0.450398 -0.28733 0 -0.4625 -0.335048 0 -0.425 -0.313397 0 -0.719062 -0.271991 0 -0.686373 -0.246301 0 -0.440115 -0.148009 0 -0.141975 -0.404198 0 -0.478068 -0.719183 0 -0.435041 -0.632761 0 -0.414245 -0.675027 0 -0.489605 -0.685839 0 -0.487069 -0.654902 0 -0.461041 -0.643865 0 -0.209468 -0.608089 0 -0.176433 -0.536047 0 -0.609662 -0.245898 0 -0.552756 -0.259176 0 -0.551874 -0.192325 0 -0.581292 -0.252892 0 -0.549444 -0.217922 0 -0.157314 -0.317203 0 -0.242702 -0.276605 0 -0.190934 -0.345015 0 -0.240832 -0.317801 0 -0.208134 -0.272095 0 -0.221057 -0.35407 0 -0.312758 -0.21053 0 -0.300497 -0.172818 0 -0.370002 -0.146916 0 -0.378124 -0.179229 0 -0.342819 -0.205122 0 -0.361643 -0.596647 0 -0.340847 -0.638912 0 -0.292551 -0.558233 0 -0.33649 -0.575705 0 -0.287165 -0.587657 0 -0.623106 -0.303518 0 -0.566201 -0.316796 0 -0.617145 -0.375495 0 -0.571714 -0.347045 0 -0.594736 -0.310512 0 -0.579025 -0.374963 0 -0.436505 -0.231791 0 -0.502015 -0.254358 0 -0.442069 -0.198941 0 -0.498703 -0.213104 0 -0.47544 -0.188493 0 -0.461903 -0.237676 0 -0.193155 -0.420521 0 -0.180671 -0.482494 0 -0.223278 -0.429576 0 -0.238799 -0.45787 0 -0.182134 -0.455079 0 -0.207448 -0.484613 0 -0.560216 -0.478884 0 -0.626587 -0.467155 0 -0.612772 -0.434064 0 -0.574651 -0.433533 0 -0.602924 -0.482176 0 -0.268135 -0.208682 0 -0.278526 -0.287591 0 -0.245828 -0.241884 0 -0.310457 -0.240987 0 -0.514861 -0.539112 0 -0.507405 -0.607115 0 -0.532884 -0.591676 0 -0.475253 -0.561973 0 -0.481377 -0.596078 0 -0.526537 -0.564105 0 -0.388035 -0.635652 0 -0.383678 -0.572445 0 -0.428707 -0.570386 0 -0.43483 -0.60449 0 -0.648147 -0.221491 0 -0.238919 -0.613327 0 -0.314585 -0.534032 0 -0.265261 -0.545983 0 -0.269398 -0.487236 0 -0.238046 -0.513979 0 -0.653025 -0.313761 0 -0.233567 -0.204172 0 -0.405564 -0.216643 0 -0.370259 -0.242536 0 -0.425398 -0.255377 0 -0.4 -0.281445 0 -0.206983 -0.39227 0 -0.165839 -0.417772 0 -0.131641 -0.379516 0 -0.536533 -0.324875 0 -0.559556 -0.288342 0 -0.527708 -0.253372 0 -0.490908 -0.277944 0 -0.50301 -0.325662 0 -0.488191 -0.524524 0 -0.542233 -0.456312 0 -0.570506 -0.504955 0 -0.501399 -0.472482 0 -0.539474 -0.526656 0 -0.153355 -0.479745 0 -0.178669 -0.50928 0 -0.256881 -0.365056 0 -0.646725 -0.445115 0 -0.351036 -0.113336 0 -0.17945 -0.255079 0 -0.173742 -0.220624 0 -0.375823 -0.209686 0 -0.444499 -0.173344 0 -0.252627 -0.429619 0 -0.379262 -0.519053 0 -0.424292 -0.516994 0 -0.403554 -0.549444 0 -0.296574 -0.450607 0 -0.269943 -0.613461 0 -0.23266 -0.543403 0 -0.594789 -0.411492 0 -0.549358 -0.383043 0 -0.508523 -0.355912 0 -0.236797 -0.484656 0 -0.454707 -0.581489 0 -0.127657 -0.467173 0 -0.515834 -0.427131 0 -0.582182 -0.529948 0 -0.501133 -0.187507 0 -0.425398 -0.28733 0 0.4625 0.464952 0 0.4375 0.499323 0 0.4687 0.488012 0 0.4375 0.486603 0 0.446094 0.510059 0 0.4875 0.421651 0 0.4875 0.378349 0 0.511657 0.378836 0 0.520307 0.410704 0 0.5062 0.42306 0 0.515689 0.394849 0 0.4625 0.335048 0 0.474157 0.313884 0 0.464189 0.297414 0 0.445411 0.300092 0 0.4375 0.313397 0 0.357009 0.295792 0 0.341925 0.293846 0 0.34375 0.324223 0 0.3625 0.313397 0 0.325764 0.320367 0 0.294546 0.417583 0 0.284779 0.391763 0 0.288261 0.405996 0 0.30625 0.389175 0 0.30625 0.410825 0 0.291029 0.380938 0 0.334647 0.501352 0 0.332046 0.482535 0 0.3625 0.499323 0 0.3625 0.486603 0 0.34375 0.475777 0 0.283637 0.452749 0 0.296137 0.474399 0 0.371026 0.26058 0 0.4125 0.524765 0 0.3875 0.524765 0 0.421094 0.535501 0 0.260588 0.364465 0 0.543035 0.368535 0 0.45501 0.270802 0 0.423733 0.27348 0 0.33125 0.345873 0 0.31875 0.367524 0 0.313264 0.342018 0 0.303529 0.359288 0 0.4125 0.313397 0 0.382009 0.295792 0 0.3875 0.313397 0 0.394509 0.295792 0 0.407911 0.300092 0 0.4125 0.499323 0 0.4125 0.486603 0 0.3875 0.499323 0 0.3875 0.486603 0 0.4 0.499323 0 0.307046 0.439233 0 0.31875 0.432476 0 0.319546 0.460884 0 0.33125 0.454127 0 0.313296 0.450059 0 0.4812 0.466362 0 0.4937 0.444711 0 0.425 0.499323 0 0.4125 0.512044 0 0.4999 0.467772 0 0.499157 0.357186 0 0.486657 0.335535 0 0.527346 0.373686 0 0.510813 0.336022 0 0.526507 0.433764 0 0.535996 0.405553 0 0.546813 0.444468 0 0.551685 0.400403 0 0.488345 0.297901 0 0.4596 0.284108 0 0.502534 0.281917 0 0.432911 0.300092 0 0.428322 0.286786 0 0.420411 0.300092 0 0.369509 0.295792 0 0.355942 0.258634 0 0.376518 0.278186 0 0.319514 0.331193 0 0.282807 0.423579 0 0.300796 0.428408 0 0.295341 0.445991 0 0.27304 0.397759 0 0.275809 0.372702 0 0.271068 0.429575 0 0.261301 0.403755 0 0.297279 0.370113 0 0.325796 0.471709 0 0.298738 0.493216 0 0.307841 0.467642 0 0.375 0.499323 0 0.3875 0.512044 0 0.280056 0.329926 0 0.291793 0.344607 0 0.410331 0.26918 0 0.40242 0.282486 0 -0.3625 0.500129 0 -0.34375 0.475777 0 -0.3625 0.486603 0 -0.329108 0.480829 0 -0.3125 0.378349 0 -0.293958 0.382078 0 -0.30625 0.410825 0 -0.291287 0.412247 0 -0.288201 0.393998 0 -0.3375 0.335048 0 -0.3625 0.295406 0 -0.331458 0.317126 0 -0.345096 0.296652 0 -0.3625 0.313397 0 -0.4625 0.335048 0 -0.468241 0.3173 0 -0.462089 0.301473 0 -0.44927 0.300567 0 -0.4375 0.313397 0 -0.4875 0.378349 0 -0.505741 0.382252 0 -0.49375 0.410825 0 -0.511213 0.409199 0 -0.512866 0.39332 0 -0.453712 0.50887 0 -0.4375 0.500129 0 -0.45625 0.475777 0 -0.4375 0.486603 0 -0.471342 0.487004 0 -0.3875 0.259424 0 -0.3875 0.527182 0 -0.4125 0.527182 0 -0.514058 0.499746 0 -0.33125 0.454127 0 -0.31875 0.432476 0 -0.316608 0.459179 0 -0.310037 0.444723 0 -0.28011 0.447568 0 -0.48125 0.432476 0 -0.46875 0.454127 0 -0.496375 0.455642 0 -0.483842 0.465354 0 -0.492463 0.441675 0 -0.531301 0.45239 0 -0.52739 0.438423 0 -0.27036 0.370075 0 -0.531473 0.368892 0 -0.435309 0.274906 0 -0.3875 0.500129 0 -0.3875 0.486603 0 -0.4125 0.500129 0 -0.4125 0.486603 0 -0.4 0.500129 0 -0.3875 0.295406 0 -0.3875 0.313397 0 -0.4125 0.313397 0 -0.4 0.295406 0 -0.41177 0.300567 0 -0.375 0.500129 0 -0.3875 0.513656 0 -0.322858 0.470004 0 -0.306458 0.360428 0 -0.318958 0.338777 0 -0.282159 0.376077 0 -0.300417 0.342506 0 -0.297537 0.423073 0 -0.303787 0.433898 0 -0.279488 0.406246 0 -0.288824 0.43532 0 -0.357596 0.278661 0 -0.375 0.295406 0 -0.3875 0.277415 0 -0.326554 0.300381 0 -0.352691 0.261915 0 -0.480741 0.338951 0 -0.493241 0.360601 0 -0.498981 0.342853 0 -0.43677 0.300567 0 -0.436039 0.287736 0 -0.42427 0.300567 0 -0.518607 0.375572 0 -0.504963 0.420025 0 -0.498713 0.43085 0 -0.524079 0.402519 0 -0.516176 0.429224 0 -0.425 0.500129 0 -0.428712 0.535923 0 -0.4125 0.513656 0 -0.477592 0.476179 0 -0.505216 0.477694 0 -0.513838 0.454016 0 -0.423539 0.269745 0 -0.41177 0.282576 0 -0.301645 0.460601 0 -0.286682 0.462023 0 0.4375 -0.313397 0 0.45625 -0.324223 0 0.471542 -0.31427 0 0.440458 -0.294481 0 0.52452 -0.39812 0 0.513709 -0.41795 0 0.51141 -0.387976 0 0.49375 -0.410825 0 0.49375 -0.389175 0 0.50516 -0.377151 0 0.445876 -0.501579 0 0.464285 -0.493118 0 0.45625 -0.475777 0 0.4375 -0.486603 0 0.470535 -0.482292 0 0.3375 -0.464952 0 0.33183 -0.482659 0 0.331515 -0.49776 0 0.3625 -0.486603 0 0.358918 -0.503479 0 0.3125 -0.421651 0 0.289938 -0.382445 0 0.29433 -0.417707 0 0.282273 -0.401493 0 0.30625 -0.389175 0 0.327438 -0.317493 0 0.3625 -0.313397 0 0.34375 -0.324223 0 0.361798 -0.294384 0 0.417752 -0.246122 0 0.541126 -0.453851 0 0.269813 -0.347334 0 0.282313 -0.325684 0 0.252086 -0.348827 0 0.547341 -0.374073 0 0.527981 -0.353104 0 0.36013 -0.552207 0 0.374742 -0.251191 0 0.409046 -0.548409 0 0.425128 -0.531533 0 0.499106 -0.495323 0 0.501209 -0.439601 0 0.48125 -0.432476 0 0.46875 -0.454127 0 0.494959 -0.450426 0 0.483035 -0.460642 0 0.4125 -0.313397 0 0.3875 -0.313397 0 0.401147 -0.289218 0 0.386798 -0.294384 0 0.415458 -0.294481 0 0.46875 -0.345873 0 0.48125 -0.367524 0 0.484042 -0.33592 0 0.49266 -0.3555 0 0.4125 -0.486603 0 0.3875 -0.486603 0 0.392294 -0.518455 0 0.383918 -0.503479 0 0.408376 -0.501579 0 0.302438 -0.360794 0 0.31875 -0.367524 0 0.314938 -0.339143 0 0.33125 -0.345873 0 0.308688 -0.349969 0 0.427958 -0.294481 0 0.477792 -0.325095 0 0.538229 -0.41607 0 0.535931 -0.386096 0 0.507459 -0.428775 0 0.551938 -0.43402 0 0.521167 -0.446726 0 0.516571 -0.365128 0 0.49891 -0.366326 0 0.460161 -0.508094 0 0.433376 -0.501579 0 0.429252 -0.516556 0 0.484821 -0.488808 0 0.476785 -0.471467 0 0.420876 -0.501579 0 0.31933 -0.461009 0 0.30683 -0.439358 0 0.30116 -0.457065 0 0.371418 -0.503479 0 0.272211 -0.383938 0 0.296188 -0.371619 0 0.286125 -0.354064 0 0.276603 -0.4192 0 0.321188 -0.328318 0 0.298625 -0.332414 0 0.374298 -0.294384 0 0.231955 -0.350877 0 0.387945 -0.270204 0 0.416605 -0.270301 0 0.511029 -0.485107 0 0.502994 -0.467767 0 0.519363 -0.333524 0 0.501703 -0.334722 0 0.376212 -0.535331 0 0.40067 -0.533432 0 -0.3375 -0.335048 0 -0.332599 -0.296647 0 -0.3625 -0.297421 0 -0.331664 -0.317245 0 -0.3625 -0.313397 0 -0.3125 -0.378349 0 -0.294164 -0.382197 0 -0.284276 -0.400331 0 -0.30625 -0.410825 0 -0.292037 -0.414478 0 -0.330162 -0.494092 0 -0.3625 -0.486603 0 -0.352131 -0.502828 0 -0.34375 -0.475777 0 -0.329537 -0.47943 0 -0.332293 -0.510317 0 -0.364631 -0.502828 0 -0.469449 -0.490368 0 -0.4375 -0.486603 0 -0.45625 -0.475777 0 -0.469095 -0.505563 0 -0.437146 -0.501798 0 -0.510512 -0.388781 0 -0.514167 -0.40274 0 -0.49375 -0.410825 0 -0.49375 -0.389175 0 -0.507917 -0.413565 0 -0.45625 -0.324223 0 -0.4375 -0.313397 0 -0.476505 -0.31953 0 -0.437699 -0.300364 0 -0.28986 -0.494408 0 -0.292616 -0.525295 0 -0.3875 -0.265469 0 -0.508348 -0.497898 0 -0.507994 -0.513093 0 -0.3875 -0.486603 0 -0.4125 -0.486603 0 -0.389631 -0.502828 0 -0.412146 -0.501798 0 -0.336555 -0.542768 0 -0.368893 -0.535279 0 -0.381039 -0.550474 0 -0.31875 -0.432476 0 -0.33125 -0.454127 0 -0.317037 -0.45778 0 -0.310787 -0.446954 0 -0.525285 -0.355518 0 -0.276112 -0.443435 0 -0.288612 -0.465085 0 -0.549451 -0.433636 0 -0.536252 -0.419046 0 -0.481949 -0.468717 0 -0.46875 -0.454127 0 -0.48125 -0.432476 0 -0.488199 -0.457892 0 -0.495417 -0.435216 0 -0.48125 -0.367524 0 -0.46875 -0.345873 0 -0.489005 -0.34118 0 -0.491762 -0.356305 0 -0.3875 -0.297421 0 -0.3875 -0.313397 0 -0.4125 -0.313397 0 -0.4 -0.297421 0 -0.412699 -0.300364 0 -0.319164 -0.338896 0 -0.306664 -0.360546 0 -0.375 -0.297421 0 -0.3875 -0.281445 0 -0.300828 -0.342743 0 -0.27844 -0.382528 0 -0.276314 -0.414809 0 -0.26059 -0.41514 0 -0.298287 -0.425304 0 -0.304537 -0.436129 0 -0.290324 -0.439782 0 -0.309699 -0.486919 0 -0.312454 -0.517806 0 -0.377131 -0.502828 0 -0.334424 -0.526542 0 -0.366762 -0.519053 0 -0.323287 -0.468605 0 -0.302824 -0.461432 0 -0.475699 -0.479542 0 -0.495149 -0.483307 0 -0.424646 -0.501798 0 -0.524679 -0.391521 0 -0.504262 -0.377956 0 -0.514773 -0.366737 0 -0.538846 -0.394261 0 -0.522084 -0.416306 0 -0.501667 -0.424391 0 -0.498012 -0.367131 0 -0.482755 -0.330355 0 -0.425199 -0.300364 0 -0.412699 -0.268411 0 -0.412699 -0.284387 0 -0.522528 -0.340393 0 -0.505767 -0.340787 0 -0.508617 -0.449806 0 -0.401777 -0.518023 0 \\\"></coordinate>\\n\",\n       \"          </indexedLineSet>\\n\",\n       \"        </shape>\\n\",\n       \"        <viewpoint id=\\\"default\\\" position=\\\"2.828170 2.827548 2.827548\\\" orientation=\\\"-0.7071067812 0.7071067812 0 1\\\" fieldOfView=\\\"0.785398\\\" centerOfRotation=\\\"0.000622 0.000000 0.000000\\\" zNear=\\\"-1\\\" zFar=\\\"-1\\\"></viewpoint>\\n\",\n       \"        <viewpoint id=\\\"top\\\" position=\\\"0.000622 3.998757 0.000000\\\" orientation=\\\"-1 0 0 1.5707963267948\\\" fieldOfView=\\\"0.785398\\\" centerOfRotation=\\\"0.000622 0.000000 0.000000\\\" zNear=\\\"-1\\\" zFar=\\\"-1\\\"></viewpoint>\\n\",\n       \"        <viewpoint id=\\\"bottom\\\" position=\\\"0.000622 -3.998757 0.000000\\\" orientation=\\\"1 0 0 1.5707963267948\\\" fieldOfView=\\\"0.785398\\\" centerOfRotation=\\\"0.000622 0.000000 0.000000\\\" zNear=\\\"-1\\\" zFar=\\\"-1\\\"></viewpoint>\\n\",\n       \"        <viewpoint id=\\\"left\\\" position=\\\"3.999378 0.000000 0.000000\\\" orientation=\\\"0 1 0 1.5707963267948\\\" fieldOfView=\\\"0.785398\\\" centerOfRotation=\\\"0.000622 0.000000 0.000000\\\" zNear=\\\"-1\\\" zFar=\\\"-1\\\"></viewpoint>\\n\",\n       \"        <viewpoint id=\\\"right\\\" position=\\\"-3.998135 0.000000 0.000000\\\" orientation=\\\"0 -1 0 1.5707963267948\\\" fieldOfView=\\\"0.785398\\\" centerOfRotation=\\\"0.000622 0.000000 0.000000\\\" zNear=\\\"-1\\\" zFar=\\\"-1\\\"></viewpoint>\\n\",\n       \"        <viewpoint id=\\\"back\\\" position=\\\"0.000622 0.000000 -3.998757\\\" orientation=\\\"0 1 0 3.1415926535898\\\" fieldOfView=\\\"0.785398\\\" centerOfRotation=\\\"0.000622 0.000000 0.000000\\\" zNear=\\\"-1\\\" zFar=\\\"-1\\\"></viewpoint>\\n\",\n       \"        <viewpoint id=\\\"front\\\" position=\\\"0.000622 0.000000 3.998757\\\" orientation=\\\"0 0 0 1\\\" fieldOfView=\\\"0.785398\\\" centerOfRotation=\\\"0.000622 0.000000 0.000000\\\" zNear=\\\"-1\\\" zFar=\\\"-1\\\"></viewpoint>\\n\",\n       \"        <background skyColor=\\\"0.950000 0.950000 0.950000\\\"></background>\\n\",\n       \"        <directionalLight ambientIntensity=\\\"0\\\" intensity=\\\"1\\\"></directionalLight>\\n\",\n       \"      </scene>\\n\",\n       \"    </x3d>\\n\",\n       \"    <div id=\\\"menu\\\"><form id=\\\"menu-items\\\"><input type=\\\"radio\\\" id=\\\"button-options\\\" name=\\\"menu\\\" checked=\\\"\\\" />\\n\",\n       \"        <label for=\\\"button-options\\\">Options</label>\\n\",\n       \"        <input type=\\\"radio\\\" id=\\\"button-summary\\\" name=\\\"menu\\\" />\\n\",\n       \"        <label for=\\\"button-summary\\\" style=\\\"display: none;\\\">Summary</label>\\n\",\n       \"        <input type=\\\"radio\\\" id=\\\"button-color\\\" name=\\\"menu\\\" />\\n\",\n       \"        <label for=\\\"button-color\\\" style=\\\"display: none;\\\">Color</label>\\n\",\n       \"        <input type=\\\"radio\\\" id=\\\"button-warp\\\" name=\\\"menu\\\" />\\n\",\n       \"        <label for=\\\"button-warp\\\" style=\\\"display: none;\\\">Warp</label>\\n\",\n       \"        <input type=\\\"radio\\\" id=\\\"button-viewpoints\\\" name=\\\"menu\\\" />\\n\",\n       \"        <label for=\\\"button-viewpoints\\\" style=\\\"display: none;\\\">Viewpoints</label>\\n\",\n       \"      </form>\\n\",\n       \"      <div id=\\\"menu-content\\\"><div id=\\\"content-options\\\" for=\\\"button-options\\\"><span>Menu Options</span>\\n\",\n       \"          <br />\\n\",\n       \"          <form class=\\\"options\\\"><input type=\\\"checkbox\\\" id=\\\"select-summary\\\" />\\n\",\n       \"            <label for=\\\"select-summary\\\">Summary</label>\\n\",\n       \"          </form>\\n\",\n       \"          <br />\\n\",\n       \"          <form class=\\\"options\\\"><input type=\\\"checkbox\\\" id=\\\"select-color\\\" />\\n\",\n       \"            <label for=\\\"select-color\\\">Color</label>\\n\",\n       \"          </form>\\n\",\n       \"          <br />\\n\",\n       \"          <form class=\\\"options\\\"><input type=\\\"checkbox\\\" id=\\\"select-warp\\\" />\\n\",\n       \"            <label for=\\\"select-warp\\\">Warp</label>\\n\",\n       \"          </form>\\n\",\n       \"          <br />\\n\",\n       \"          <form class=\\\"options\\\"><input type=\\\"checkbox\\\" id=\\\"select-viewpoints\\\" />\\n\",\n       \"            <label for=\\\"select-viewpoints\\\">Viewpoints</label>\\n\",\n       \"          </form>\\n\",\n       \"        </div>\\n\",\n       \"        <div id=\\\"content-summary\\\" for=\\\"button-summary\\\" hidden=\\\"\\\">Number of vertices: 1738<br />Number of cells: 3201</div>\\n\",\n       \"        <div id=\\\"content-color\\\" for=\\\"button-color\\\" hidden=\\\"\\\"><form>\\n\",\n       \"            <input id=\\\"color-checkbox\\\" type=\\\"checkbox\\\" checked=\\\"\\\" />\\n\",\n       \"            <label for=\\\"color-checkbox\\\">Show Color</label>\\n\",\n       \"          </form>Current Color Map:<br />\\n\",\n       \"          <span id=\\\"min-color-value\\\"></span>\\n\",\n       \"          <span id=\\\"color-map\\\"></span>\\n\",\n       \"          <span id=\\\"max-color-value\\\"></span>\\n\",\n       \"        </div>\\n\",\n       \"        <div id=\\\"content-warp\\\" for=\\\"button-warp\\\" hidden=\\\"\\\"><form>\\n\",\n       \"            <input id=\\\"warp-checkbox\\\" type=\\\"checkbox\\\" />\\n\",\n       \"            <label for=\\\"warp-checkbox\\\">Warp By Scalar</label>\\n\",\n       \"            <br />\\n\",\n       \"            <input id=\\\"warp-slider\\\" type=\\\"range\\\" min=\\\"0\\\" max=\\\"5\\\" step=\\\"0.01\\\" value=\\\"1\\\" disabled=\\\"\\\" />\\n\",\n       \"            <br />\\n\",\n       \"            <label id=\\\"warp-slider-val\\\" for=\\\"warp-slider\\\">1</label>\\n\",\n       \"          </form>\\n\",\n       \"        </div>\\n\",\n       \"        <div id=\\\"content-viewpoints\\\" for=\\\"button-viewpoints\\\" hidden=\\\"\\\"><span>Viewpoint Options</span>\\n\",\n       \"          <br />\\n\",\n       \"          <button class=\\\"viewpoint\\\">front</button>\\n\",\n       \"          <button class=\\\"viewpoint\\\">back</button>\\n\",\n       \"          <button class=\\\"viewpoint\\\">left</button>\\n\",\n       \"          <br />\\n\",\n       \"          <button class=\\\"viewpoint\\\">right</button>\\n\",\n       \"          <button class=\\\"viewpoint\\\">top</button>\\n\",\n       \"          <button class=\\\"viewpoint\\\">bottom</button>\\n\",\n       \"        </div>\\n\",\n       \"      </div>\\n\",\n       \"    </div>\\n\",\n       \"  </body>\\n\",\n       \"</html>\\n\"\n      ],\n      \"text/plain\": [\n       \"<dolfin.cpp.mesh.Mesh at 0x7fc87dd17240>\"\n      ]\n     },\n     \"execution_count\": 498,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"refined_mesh\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 499,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[<matplotlib.lines.Line2D at 0x7fc87f0e77c0>,\\n\",\n       \" <matplotlib.lines.Line2D at 0x7fc87f0e7a90>]\"\n      ]\n     },\n     \"execution_count\": 499,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"findfont: Font family 'stix' not found.\\n\",\n      \"findfont: Font family 'stix' not found.\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAAA3MAAAM6CAYAAAArHhreAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAB7CAAAewgFu0HU+AAEAAElEQVR4nOy9d1QU65rv/62GJuecc84gWTKooJgVzG63O51wZ866d+65Z+5dc86cNfHMmjlp5uzo3rrNmMWAICpBJEdBBMk5i2Rouvv3B7+u6eqqDqA7uPf7WYslvFVdVd1d3b7f93me70OJxWIxCAQCgUAgEAgEAoHwVsH7ri+AQCAQCAQCgUAgEAirh4g5AoFAIBAIBAKBQHgLIWKOQCAQCAQCgUAgEN5CiJgjEAgEAoFAIBAIhLcQIuYIBAKBQCAQCAQC4S2EiDkCgUAgEAgEAoFAeAshYo5AIBAIBAKBQCAQ3kKImCMQCAQCgUAgEAiEtxAi5ggEAoFAIBAIBALhLYSIOQKBQCAQCAQCgUB4CyFijkAgEAgEAoFAIBDeQoiYIxAIBAKBQCAQCIS3ECLmCAQCgUAgEAgEAuEthIg5AoFAIBAIBAKBQHgLIWKOQCAQCAQCgUAgEN5CiJgjEAgEAoFAIBAIhLcQ9e/6AgjfDgsLC3j69CkAwNzcHOrq5K0nEAgEAoFAIBC+DZaXlzE6OgoA8Pf3h5aW1hs5LpnR/0h4+vQpwsPDv+vLIBAIBAKBQCAQftRUVFQgLCzsjRyLpFkSCAQCgUAgEAgEwlsIicz9SDA3N6d/r6iogLW19Xd4NQQCgUAgEAgEwo+HwcFBOktOel7+uhAx9yNBukbO2toadnZ23+HVEAgEAoFAIBAIP07epHcFSbMkEAgEAoFAIBAIhLcQIuYIBAKBQCAQCAQC4S2EiDkCgUAgEAgEAoFAeAshYo5AIBAIBAKBQCAQ3kKImCMQCAQCgUAgEAiEtxAi5ggEAoFAIBAIBALhLYSIOQKBQCAQCAQCgUB4CyFijkAgEAgEAoFAIBDeQoiYIxAIBAKBQCAQCIS3ECLmCAQCgUAgEAgEAuEthIg5AoFAIBAIBAKBQHgLIWKOQCAQCAQCgUAgEN5CiJgjEAgEAoFAIBAIhLcQIuYIBAKBQCAQCAQC4S2EiDkCgUAgEAgEAoFAeAshYo5AIBAIBAKBQCAQ3kKImCMQCAQCgUAgEAiEtxAi5ggEAoFAIBAIBALhLYSIOQKBQCAQCAQCgUB4CyFijkAgEAgEAoFAIBDeQoiYIxAIBAKBQCAQCIS3kLdWzI2MjOD27dv49a9/jbS0NJiZmYGiKFAUhXfeeecbOefFixexadMmWFtbQ0tLC05OTjh8+DDKyspUPsb4+Dh+85vfIDAwEIaGhjAwMEBgYCB+85vfYHx8/Bu5bgKBQCAQCAQCgfDDQ/27voC1Ymlp+a2da2FhAXv37sXt27cZ493d3eju7sb58+fx93//9/i7v/s7hceprKzE9u3bMTg4yBhvaGhAQ0MDTpw4gZs3byI0NPSNPwcCgUAgEAgEAoHww+KtjcxJY29vj40bN35jxz9+/Dgt5BITE3Hjxg1UVFTgyy+/hKurK0QiEX7961/jxIkTco/R39+PrVu3YnBwEOrq6vjlL3+JoqIiFBUV4Ze//CXU1dUxMDCA9PR09Pf3f2PPhUAgEAgEAoFAIPwweGsjc7/+9a8RFhaGsLAwWFpaoqurC87Ozm/8PIWFhTh//jwAYOvWrbh+/TrU1NQAAGFhYdi2bRvWrVuHnp4e/PKXv8SePXtgZGTEOs7/+3//D8PDwwCA8+fPY+/evfS22NhYhIaGIiMjA8PDw/i7v/s7fPXVV2/8uRAIBAKBQCAQCIQfDm9tZO63v/0t0tPTv/F0y3/7t38DAKipqeHjjz+mhZwEMzMz/O53vwMAvHz5El9++SXrGMPDwzh79iwAYNOmTQwhJ2Hv3r3YtGkTAOD06dO08CMQCAQCgUAgEAgELt5aMfdtMDMzgwcPHgAANmzYADs7O879du3aBQMDAwDAtWvXWNuzs7MhFAoBAMeOHZN7Polxi1AoRHZ29utcOoFAIBAIBAKBQPiBQ8ScAioqKrC4uAgAiI+Pl7ufhoYGIiMj6ccIBALG9uLiYvp3RceR3vb48eM1XTOBQCAQCAQCgUD4cfDW1sx9GzQ3N9O/e3l5KdzXy8sLeXl5WF5exosXL+Dj48M6jqGhIaysrOQew9raGgYGBpiammKcm0AgEAg/bF68eIGHDx9iaGgIPj4+SExMhL6+PtTU1KCmpgaKor61axEKheDxeN/qOQkEAoGwNoiYU0Bvby/9u7wUSwn29vaMx0mLOclxlB1DcpympibGuVWhr69P4XbZdggEAoFA+GYQCoWYm5vD3Nwc5ufnGf9Kfpcdn5+fpx//7NkzPHv2jHFMHo9HCzt1dXX699WOKdq2uLiI3Nxc+pxBQUHYtm0bEXUEAoHwPYaIOQVMT0/Tv+vp6SncV1dXl/59ZmaG8zjKjiF9HNljKENaTBIIBAJBdQQCAebn56GmpgYtLS3a6EosFmNpaUmuIJMVZpK/l5aW3vg1ikQiiEQiVhr/N0ldXR2ePn0KQ0NDGBkZcf7o6elxij2xWExEIIFAIHwLEDGngIWFBfp3DQ0NhftqamrSv0uvsEofR9kxpI8jewwCgUAgvFkWFhbQ0tKCGzduMMYtLCxoYSYxr/qxIhQKMTExgYmJCc7tampqtLAzNDTE7OwsWlpaAAChoaGIjIyEqanpt3nJBAKB8KOCiDkFaGlp0b8rW2mVGKUAgLa2Nus4c3NzKq3WSo4jewxlKEvLHBwcRHh4+KqOSSAQCD8EhEIhxsfHMTw8jOHhYYyMjGBkZASvXr3i3H9kZORbvsK3F8lrOz4+ztpWVVWFqqoqmJqa0mJPOqpnbGwMXV1dEsEjEAiE14CIOQXo6+vTvytLe5ydnaV/l02n1NfXx9zcnEqpk5LjqJKSKY0q9XgEAoHwQ0UgEODly5fQ0NCgxdrIyAiGh4cxNjYGkUj0nVyXlpYWdHR0oK2tTf+rpqaG2tpalR4fGhqK8PBwLC8vQygUMn5eZ0zy09/f/41ngsgTewCgrq7OEnkDAwNobm6GoaEhtm/fDmdn52/0+ggEAuFthog5BUgLpL6+PoSGhsrdVzoyJlu/Zmdnh+HhYaUmJdLHITVwBAKBIJ+FhQWMjIzgypUrjPrmbwoej0cLMokokxZo0uPS23k8Zgeg6elpnD9/XuXz1tXVITo6Gubm5m/6KaGnp0fptbz77ruYnJykf169ekX//iZSUJeXl+WKvVevXuH06dMAgC1btsDe3h4WFhYkkkcgEAhSEDGnAGlHyufPnyvcV7JdXV0dbm5urONUV1fj1atXGBoaktueYHBwEFNTUwAAb2/v17l0AoFA+EEgFAoxNjZGR9mUpUi+KbZv3w4LCwtanGloaLy2iBgeHsb58+fp73lVWF5exu3bt3Ho0KE3KmJaW1tx+fJlLC8vy91HS0sL9vb2nIuLYrEYMzMztLC7du3aG7s2Lu7cuQNgpa7czs6Ovi47OzuV6tEJBALhhwoRcwoICwuDhoYGlpaWUFhYiF/96lec+y0tLaGsrIzxGGliYmJw5swZAEBhYSEyMzM5j1NYWEj/vn79+jfxFAgEAuF7jUAgwKVLl7B582aMjIyAoqhvLEXSwMAAlpaWsLCwgJmZGW7evCl338nJSQQFBb2R8wJAR0cHLl26xKivBkD/HyONqakpI1LV0dGB+vr6N3Y9DQ0NuHHjBsRiMWOcoijGmOx22X319fWhr6+vtMZw586dnJG9tbyvi4uLaG9vR3t7O30dlpaWtLizt7eHoaEhid4RCIQfDUTMKUBfXx/JycnIyclBfn4++vr6OGvTrl27Rq+07ty5k7V927Zt+MlPfgKRSISTJ0/KFXOnTp0CsJLOs23btjf3RAgEAuF7hlgsxu3bt1FTUwMA+POf//xGjy9JybO0tKQFnLSplbKaterqasTGxtJtCl6H2tpa3L59myVeTExMEB8fj+vXrzPGDx8+jK+++ooRwcvNzYWbm9uq66llKS8vx71791jjnp6eCA8PpxceVaW7uxt3796Vu93U1BQBAQGscbFYjOnpaUYKZ09PDy3SVEUsFmNoaAhDQ0OorKwEsPJ/t7S4s7KyeiPvI4FAIHwf4Snf5YfLqVOnQFEUKIrC3//933Pu8zd/8zcAVlJdfvazn7FqBMbGxvB//s//AQAYGRnhvffeYx3DysoKBw8eBLDyH/KVK1dY+1y+fJlu1nr48GG5qZgEAoHwtjIzM4P6+npcu3YN//7v/04LubUiW48mwdfXF++++y7S09MRFhYGBwcHhpATiUR4/Pgx4zF8Pp91rbKNu1eLWCzGo0ePkJ2dzRJy9vb2OH78OObm5hjjZmZmMDQ0xJYtWxjjCwsLnCJsNddSUFDAeYzAwEBkZGSwXgNFkTlgJXp56dIlhRE22ecngaIoGBgYwMHBAQEBAYiLi4OhoaEKz0Q509PTePbsGXJzc3HixAn867/+K06dOoUHDx6gtbWVtP4hEAg/KN7ayNzjx4/R1tZG/z02Nkb/3tbWRke5JLzzzjtrOk9SUhL27duHixcvIjs7Gxs2bMAvfvEL2NjY4OnTp/inf/on9PT0AAD+9V//FcbGxpzH+ad/+ifcu3cPo6Oj2L9/P6qqqpCeng4AuH37Nv7jP/4DAGBubo5//Md/XNO1EggEwvcJoVCIvr4+tLW1ob29HYODg2s+lnSKpHSqpJqaGkpKSpCfn0/v++zZM0xOTsLIyIjzWI2Njay+aRkZGXj8+DG6u7vpsfLycvj7+6/peoVCIbKzs9HQ0MDa5uPjgx07doDP56O/v5+xTZL94eHhAV9fXzQ1NdHbmpqa4O/vD09Pz1Vdi1gsRk5ODh25kiYyMhIbN25cdVri0tISLl68yBJrbm5ujP+b5+fnIRKJ5ApvCePj4wqjpbq6ujh+/DgGBwfR29uL3t5eDA4OqpSquby8jO7ubsZ7a2ZmxojemZqaktRMAoHwVvLWirkTJ07g66+/5txWUlKCkpISxthaxRwAOt3l7t27ePToER49esTYzuPx8Hd/93f48MMP5R7D3t4et27dwo4dOzA0NITf/e53+N3vfsfYx8rKCjdu3CBtBggEwlvLq1evaPHW0dHBqhFbLd7e3tiyZQt0dXXl7hMSEoLCwkIIBAIAK+KloqICGzduZO0rEolQVFTEGLOxsYGrqyuWlpYYE/7+/n709/fD1tZ2Vde8sLCArKwsdHV1sbZFR0cjJSWFFg6yLsfS3/9paWno6OhgRJLu3r0LJycnaGpqqnQtQqEQN27cQGNjI2tbUlISYmJi6GtRVcyIxWJcv34dw8PDjHF3d3ekp6fjD3/4A2N8fn5e4fsHAAUFBQojgbOzs+ju7kZQUBBtTiYQCDAwMECLu97eXpWjbmNjYxgbG6MFpLa2NkPcGRgYQEdHB+Pj47CxsVHpmAQCgfBd8NaKuW8TbW1t3LlzB+fPn8epU6dQX1+PyclJWFpaIjY2Fj//+c8RFRWl9DgRERF4+vQp/vSnP+HGjRv0f/TOzs7Yvn07fvGLX8DU1PQbfjYEAoHw5pBEPSQCbnR09I0ev7m5GUNDQ0hJSYG3tzen4NDW1kZwcDAqKirosZqaGsTHx7NEz7Nnz1g2+HFxcaAoCl5eXjAwMGDUqlVUVHDWQstjcnIS58+fZ70OFEUhLS0NYWFh9Njs7CwmJycZ+0kLR11dXWzcuJFh1DI1NYUHDx5g8+bNSq9FYi4jHSmTsGXLFoXtdgD5aZYFBQUsh2czMzPs3r0b6ursacXc3JxCMTc0NMQSm+vXr0d/fz9DEJeVlSEwMJC+B/h8PhwdHeHo6Ehf7/j4OEPcSWftKGJ+fh6tra1obW1lbdPS0sLPfvaz165XJBAIhG+Ct1bMnTp1ipVKuVreeeedVUXsDhw4gAMHDrzWOc3MzPAP//AP+Id/+IfXOg6BQCB8V4yPj9PirbOzU6G9vSxqamqr7k/28uVLXL58Gfb29ti4cSNn9kJERARDzC0uLqK2thaRkZH0mFgsZkXlrKys4OHhAWAlyyIsLAwPHjygtzc2NmLDhg0qTeQHBgZw4cIFzMzMMMb5fD727NlDn0eCbFSOz+fDwsKCMRYYGIinT5+io6ODHqusrISfnx8cHBzkXsv8/DwuXLjA6IEqeY67du2Cr68v6zGqROaamppYr6GWlhb2799PC2ctLS0sLCzQ22dnZxX2yZPNdtHU1MT69evR09PDEHPDw8Po6uqS20ScoiiYmZnBzMwMwcHBAFaEZF9fHy3u+vv7V3W/AiuR1v/4j//A+vXr4evrCysrK5KSSSAQvje8tWKOQCAQCN8OS0tL6OrqQltbG9ra2vDy5ctVPd7S0hJubm5wc3NDa2srSktLFe4vW3clobe3F19++SV8fX2RnJzMqFE2MTGBl5cXI2JUXl6O8PBwul6rubmZFTGTROUkSFI2JRN+kUiE6upqxMfHK7zm1tZWXLlyhU71lKCnp4f9+/dzpurJijkbGxtWbRlFUUhPT8cnn3zCOPatW7fw4YcfckbCpqencfbsWVbLAD6fj4yMDFYvVHnIRuYGBwdx48YN1vXt3bsXJiYm9JiOjg5DzMkzQQFW3lPZaFh0dDS0tbXh4eEBExMTRn1jWVmZXDHHhY6ODjw8PGghLRQKMTQ0xIjeqdp0XlLCYWJiAh8fH/j6+sLS0pIIOwKB8J1CxByBQCAQGIjFYoyOjtLiraenZ1XRNC0tLbi6usLNzQ2urq7Q19cHAPT09NA9OSXI9lQDgPDwcMTHxyMvL48VWQJWokPPnz9HREQEYmNjaafKyMhIhpibnJzE8+fP4ePjwxmVs7CwgJeXF2NMR0cHfn5+qKuro8eqqqoQExMj196+srISOTk5LPFjbm6OAwcOyDVikWd+IouxsTESExORl5dHj42NjaG4uBiJiYmMfV++fIkzZ86wBLeWlhYOHjy45prsmZkZXLx4kRXV2rRpE1xcXBhjOjo6DAEmT8yJxWJGFFTyWEk0laIoREREICcnh97e2tqK8fHxNZckqKmpwdbWFra2toiMjIRYLMbIyAi++uorVr8/eUxMTODx48d4/PgxTE1NaWFnYWFBhB2BQPjWIWKOQCAQfsRMTExAKBSis7MTenp6tIBTNVohwdbWlo6+cUWYFhcXWY2qeTwe9uzZg5ycHNoVGFgRfcnJyTh27Biam5uRn5/PEidCoRBPnjxBbW0t4uPjERoaCgcHB9jY2GBgYIDer6ysDD4+PmhtbWUZdshG5SREREQwxJykTYGss6VYLMb9+/c5I41OTk7IzMxktESQRiQSqSzmJNfU2NjIeG6PHz+mRQSwkoZ49uxZVpqnvr4+Dh06xErhlEX2tZC8V0KhEJcuXWLUEgJAcHAwwsPDWcfR0dFh/D07O8t5vo6ODobhDADExsZCQ0OD/jsoKAiPHj1iRPrKyspYrRvWSmdnJ7Kzs1UWcrKMj4+juLgYxcXFMDMzYwg7gUDAavdAIBAIbxoi5ggEAuFHSkdHx6qbREvQ1dWlxZuLiwtrAi9LXl4eS5AlJibCysoK9vb2DDEnicZRFAUfHx94eHigsrISRUVFjEk9sFIbdu/ePVRWViIlJQWRkZG4du0a41h9fX0oLCxkPM7MzAze3t6c12plZQVHR0eG0KioqGCIOYFAgBs3bnD2ogsICMC2bdsUNqoeGxtjCQhFrpk8Hg9bt27FF198Qdvxi0QiZGdn491330VfXx8uXLjAen1MTExw+PBhudFBZYjFYty5c4cVIXVwcMCWLVs4xbDsvcAVmeOKyhkYGLBMWTQ0NBASEoInT57QY/X19UhKSoK2tvaqn4+ExcVF5OXlqdTrMD09HS9fvkRTUxPLsEaasbExFBUVsSLA//f//l8i6ggEwjcGEXMEAoHwI0IsFqO7uxvl5eUsR0JF8Hg82Nvb0wJuNbVCra2trEmzvb09oqOjAawIA+l2Mv39/RAKhbQYUldXR1RUFIKCglBYWIjKykpWf7Hx8XFkZWXB3t6edf4zZ86whFNsbKzC3mfh4eEMMdfX10e3KZibm8PFixc5U0Dj4uKQkJCg9LWRrZczNDSk01HlYWVlhejoaEbD8/7+fpw/fx7d3d2sFEgrKyscPHhQZRdGrmuuqKhg9X8zNDRERkaGXLEq61zJJeaeP3/O6jsYHx/PWQMYHh6O0tJSOlIoEAhQXV2NmJgYxU9IDh0dHcjOzsarV6+U7quuro6goCCoqakhOTkZg4ODaGpqQlNTk0qPB4B//ud/RkhICKKiomBmZramayYQCAR5EDFHIBAIPwJmZmZQV1eH2tpaVsNseRgaGtLizdnZWeXeZtLMzs4iOzubMcbn87Fjxw5aTMkKsOXlZQwODrLSDrW1tZGamorw8HDk5+ejubmZdT4ugSUr5ExMTODn56fwuuW1KYiLi8P58+dZr6EkchYUFKTwuBIU9ZdTRHx8PJqbmxl1hu3t7az9HBwcsH//frlpnqogFAqRm5vLGOPz+di3b5/CVgPKInMikQgPHz5kjJmamsp97QwNDeHr68toX1BRUYGoqCiF0U9ZlEXjnJycoKenxziPra0tfQ6KomBjYwMbGxukpKRgYGCAFnayKaiy1NTUoKamBpaWlnQqJmlFRCAQ3gREzBEIBMIPFJFIhPb2dtTU1KC1tZUVzZJHaGgoIiIiYGpq+lqGDpIUPdmaqU2bNjHcD7W1tWFhYcFwX+zp6ZErcExMTJCRkYHu7m7k5eUx6shUQVlUDuBuU9DQ0ICGhgbWvpqamsjIyGAZgShCtl5O1cbk6urq2Lp1q9LWPN7e3hgcHISZmRn09PRUeh+59pE1ddmxYwesrKwUHkdZzVxDQwOr/1tiYqLC9yQyMpIhsqanpznrGOXR3t6OW7ducUbT+Hw+NmzYgNDQUJw+fZqxTd49SFEUbaSyYcMG9Pf3o6SkRGm0e3h4GMPDw3j06BGsrKxoYSf9eSAQCITVQMQcgUAg/MCYnJyko3DKIgZc9Pf3w9jY+LWd+RoaGljRMw8PD4SEhLD2tbe3Z4g5rgibLI6OjnjvvffQ2NiIBw8eqJz2Njw8jIcPH4LH40FNTY3zXx6PxzDikIeBgQEOHDgAS0tLlc4NrESIZNsGrMZlUpX3RTqipqGhAVNTU5iamsLExARmZmb036uJtsbHx8PHx0fpforSLJeXl1FQUMDYLhE1irC1tYW9vT3jvigrK4Ofn5/C10OVaNy2bdtgbGy8alMaCRRFQV9fH0NDQ0r3lWZoaAhDQ0N4+PAhrK2taWEn3XKDQCAQlEHEHIFAIPwAEAqFaGlpQW1tLWePttUwODiIBw8eYOPGjWs+xqtXrxiW8sBKBG7r1q2ck28HBwdUV1fTf/f09EAsFisVLhRFwd/fH97e3igrK8Pjx4+xuLio8DGy7RHWipWVFQ4cOKC01k0W2Ugij8dTGu0CVoRJfn4+qqqqVnW+paUlDA4OsmrUgJU+eBKRp6j9hLe3t9JeexK40iwl72VNTQ1LdCclJakkUCMjIxlibmBgAL29vXKbp6sajZOce2RkhNUnkKsGU5bp6WmcPn1aoTmKMiTvz4MHD2hH1pCQEDrNmRioEAgEeRAxRyAQCG8xY2NjqK2tRX19vVwLeAnq6urw8/ODr68vsrKyWIYZ0pSWlsLZ2Rnu7u6rviaxWIwbN26wRNXWrVvlmnHITsjn5uYwPj6usmGEuro6YmJi4Orqis8//3zV17wW9u7du2ohB7Dr5aysrJRO1ltbW3Hnzp01RVoVMTMzg5mZGVaLAGksLS2xY8cOlSO1smJOKBRiaWkJFEWxnB4lpjqq4OXlBSMjI4ZoKisrY907q4nGSSMbDTY2NlZYGwisvH6nT59m1VBqamqy7v+goCCoq6ujublZ4WdVIvYldXYA8Ktf/WpNNasEAuGHDxFzBAKB8JYhEAjw7Nkz1NbWKpyES7C2tkZISAj8/PygpaWFuro6hpDj8Xg4dOgQzp07x4jO3LhxAz/5yU9UdkOUUFZWhq6uLsZYYGCg3FYAwH+7OUr3t+vp6VFZzC0uLuLx48dvLOqmCp9//jmSkpIQGhqqtAZPmtXUy83OzuLevXuMejFl+Pj4YHx8HOPj4woFu6oYGxtjYWFBpbRTgC3mgBVx3tTUxBIxycnJKotEHo+H8PBwRvP058+f4+XLl7QwW200TprVmtLMzc3hzJkzrPo/c3NzHD16FDdu3GBEycfHx/Huu+8iLS0N3d3daGpqQnNzs9ym6tL84Q9/QEpKCgIDA0mUjkAgMCBijkAgEN4ShoaGUFNTg4aGBqWphJqamvD390dISAisra0Z254+fcr4W+JWuWHDBty7d48en5ubw/Xr13Ho0CGVJ9wjIyOs/mGGhoZITU1V+DiKouDg4ICmpiZ6rLe3l7O+ThqRSITq6moUFBSoNCnW0tKCh4cHhEIhRCKR3H+Xl5dZdW2yLC4uIicnB3V1ddiyZYtKJiZisVgl0SAWi9HQ0IDc3FzMz88rPa4069evh42NDcRiMaampmhhJ/0zOTnJMjeRx/Pnz/HixQsEBgYiJiZGaU2XhoYG1NTUGAsD4+PjjPYTwMp95+jouKrnFhISgoKCAtqhVCwWo7y8HImJiWuKxkmzGjE3Pz+PM2fOsO4RSV8/XV1dhISEMMRcb28vRkZGYGFhAWdnZzg7O2Pz5s3o6uqihZ2893pxcRF37tzBo0ePEBoaivDwcKVRQwKB8OOAiDkCgUD4HrO4uIjGxkbU1NSo5Nro4OCAkJAQ+Pj4cK7gT09Po7OzkzEmcQQMDw9HR0cHWltb6W0dHR148uQJ1q9fr/TcQqEQ169fZ9Vebd++XSWLfHt7e4aYk24kLotYLEZrayvy8/NZkREJXKluvr6+SE9PV3otBQUFSsWchMHBQZw4cQIhISFISUlR2Mz61atXrOiUrGiYnJzEnTt31lz7WFxcjMzMTFAUBUNDQxgaGrKcNpeXl/Hy5Uta3BUVFbFaOEgjFApRU1OD2tpaBAQEICYmRm7UlKIo6OrqMlJCHzx4wGponpiYuOrnpqmpieDgYJSXl9Nj5eXlqKur41zgUBaNkzA7O8tKlZRXL7ewsICzZ8+yDE+MjY1x9OhROvXWw8MDenp6mJmZofeprq5GWloa/TePx4OLiwtcXFywZcsWZGVlMT5/sszNzaGoqAglJSUIDAwkvesIBAIRcwQCgfB9QxK9qampQVNTE8uUQRYdHR0EBgYiJCRE6cSusbGREZHR0NCAp6cngJVJ+Pbt2/Hpp58y0h0fPnwIR0dHpWlnhYWFrAluZGQknJ2dFT5Ogmzt08TEBGZmZlhpnoODg8jLy2OlckqgKAqhoaGIj49HfX097t+/T29rb29Xaqzy4sULFBYWqnTN0tTU1OD58+dISUlBUFCQSql82tradLRIJBKhsrISDx484HzPtbS0sGnTJvT29sqNQAErkTRJBEge6urqMDc3h7m5OQQCASorKxWKOQlisRj19fWor6+Hr68vYmNjOZ08dXR0GGJO9r7w8fGBjY2N0vNxERERwRBzADiFnLOzM7Zt2wYjIyOlx5R9X/h8PufzWlxcxPnz51kLK4aGhjhy5AgMDAzoMTU1NQQHB6O4uJgea2hoQEpKCudCC0VRKpuoSMR1TU0NPDw8EBUVBUdHx9d2oCUQCG8fRMwRCATCd8zCwgI0NTUxNjZG94UbHR1V+jhXV1eEhITA09NT5ebJsimW3t7ejImljo4Odu3aha+//poeE4lEuHr1Kj788EO5Ebbe3l48fvyYMWZubo7k5GSVrgtYMdrQ0NBgiIre3l661u7Vq1d4+PAhZ683CZ6enkhJSaFFraurK0PMTU5OKjRWmZycxPXr1xVeZ1xcHJydnXH37l3W+zQ3N4fs7GzU1tZi8+bNLJdKrlQ+iqIwOjqK7Oxs1nYJPj4+SEtLg66uLsvaPy4uDhUVFYzIV3FxMXbv3q3weUgoLS1l1ZhlZGTA2toaJSUlqK2t5XS6lDTM9vT0RGxsLCPNlKtuTgJFUUhISFDp2sRiMSYmJjA4OEhb+XO5ckqjajROGtnX3cbGhlUHKRAIcOHCBZZRir6+Po4cOcIpGmXF3MLCAp49e4bAwEDWvp2dnSpHg6VpbW1Fa2srbGxsEBUVBR8fn1XVcBIIhLcbIuYIBALhO6S3txdfffWVyvvr6+sjODgYwcHBKkUcpBkbG2NNhLmaLjs5OSE2NpYxCZWk/u3atYs1QV5aWsKNGzcYET8ej4edO3dCXV31/2Z4PB7s7OzQ0dFBj/X09MDFxYU2N5Fn6GFtbY2NGzfCycmJMW5hYcEyVmlvb+cUc8vLy7h06ZLSGjWBQAAnJyd8+OGHKCsrQ2FhISuS1tvbi88//xzh4eFITEyknQhlzU+srKxQUFCA4uJizqbu+vr62Lx5M7y8vACsvIeywsvX1xcURTGiiU1NTUhISICpqanC5zI1NcUS4U5OTvDy8gJFUdiyZQvi4uJQWlqKqqoqzohhS0sLWlpa4OrqitjYWDg6Oiqs5woMDIS5uTlrXCgUYmRkhBZsQ0NDGB4eViliKM1Pf/rTVX82lNXLLS8v4+LFiyzDIV1dXRw5ckRu029jY2O4urqivb2dHquuruYUc4rMe+zs7LB161aUlpaioaGB814ZGBjA1atXkZ+fj4iICISEhBAHTALhRwARcwQCgfAdUVtbi+zsbKX7URQFT09PBAcHw83Nbc2r7rIRLT09PbkpkAkJCejq6mJEIRobG+Hi4oLg4GDGvnl5eax6o/j4eJbxiio4ODgwxFxZWRmePn0q18rdwMAAycnJ8Pf354zCUBQFV1dX1NXV0WPt7e2IiIhg7ZuTk8MSu97e3tDV1WX0dpOICzU1Naxfvx5+fn7Izc1lNUiXmHM0NTVh06ZN8PLyYh1fWjDLEhISgg0bNjCiobJ1dPr6+jA3N0dERARKS0sZxiCPHz/G9u3b5R4fACulk6IobNq0ifFa6uvrY+PGjYiJiUFZWRkqKio40xrb29vR3t4OBwcHuWY0PB4P8fHxWFxcxPDwMCPiNjIywilSVkthYSE2b96ssusjV7Nw6Xq55eVlZGVlMe5LYCX6eOTIEaWpzevWrWOIOWkjFAnj4+N48eKF3GP09/fD0NAQ27dvR1JSEioqKlBVVcWqQwRWIth5eXkoLCzEunXrEBERwUj/JBAIPyyImCMQCIRvmYGBARQUFCicvElITk5GYGDgmvqZSSMWi1n29r6+vnKFIY/Hw65du/Dpp58yJu45OTmwt7enJ7AvXrxgNPsGVqIIMTExa7pOrubZXEJOQ0MDsbGxiIiIUDpplxVznZ2dWF5eZkQN6+rqWHVopqam2L59O6s3mmx0ytDQEBkZGXjx4gVycnLw8uVLxvaZmRlcvXoVGhoaChtzSzAxMcHWrVtZUUaALebc3NxAURS0tbURFhbGcIxsaGhAfHy83ChVf38/S+AHBwfLbWCuo6ODpKQkREdHo6KiAmVlZZxRTEXGNSKRCGfOnGGJ/zdJXV0dhoeHkZGRoVKEbnh4mPWeSiJzQqEQV65cYb3uWlpaOHz4sMK6RAmqGKHI1gDKuoGKxWL09vbCzc0N+vr6SE5ORmxsLGpra1FWVsZZa7e4uIgnT56grKwMfn5+iIqKUqk5PYFAeLsgYo5AIBC+JYaHh1FQUIDnz5+r/Jjx8XGVBIAy+vr6WCIjICBA4WOMjIywbds2XL58mR4TCAS4evUqjh8/jqWlJVZkkc/nY+fOnUqjh0tLSxgdHWX9qGIAERYWhvj4eJWt2bmcHCXpm8CKOcedO3dYzyMjIwOampossSgv7c/d3R3Ozs54/PgxHj9+zHrflKULUhSF6OhoxMfHcwpUgUDASvNzdXWlf4+KikJ5eTmdiioSiVBSUoItW7awjiUWixltKIAVp8ikpCSF1wisCJm4uDhERkaiqqoKT548UdqwXpq1CDldXV1YWVnBysoK1tbW0NTUxLlz5+TuPzg4iM8//xx79uxhvf+yyKZYSpqFi0QiXLt2DS0tLYztmpqaOHz4sMrCSE1NDUFBQYx0VmkjlPn5ecZiA7Bi8tLX18cQxp2dnYwG6xoaGoiIiEBYWBieP3+O0tJSzppLkUiEhoYGNDQ0wNnZGdHR0XB1dSVmKQTCDwQi5ggEAuEbZmxsDAUFBQzbfVWpq6tDQ0MDQkJCEBcXt+YInWwExtTUVKU0SB8fH4SEhDCiVkNDQ7h//z5mZmYY0QYA2LhxI6N+SFq0jYyMYGxsDCMjI5xNnVVldHQUDQ0N8PDwUFoTBqxElGxtbRmpdG1tbXBxccHCwgIuXbrEqsXbunUrHXWRbZatyF1UXV0dCQkJCAgIQE5OjsrtBaysrLBt2zaF70l3dzfjOimKYggVXV1drFu3jhHlqa2t5bxvGhsbWRP/uLi4VfUu09DQQHR0NB0RXIsDKBfGxsYM4WZlZcW6/uHhYdbj+Hw+472Zn5/H2bNnkZycjOjoaLniRfZ1sLe3h0gkwo0bN/Ds2TPGNg0NDRw6dGjVTpwhISEMMSdthFJTU8NKdQ0PD4eamhpDzMlzb+XxePDx8YGPjw96e3vx5MkTuQtGnZ2d6OzshLm5OaKiouDv77+qulYCgfD9g3yCCQQC4RtiYmIChYWFePr0qcoNmrkQiUSoqqpCXV0dwsPDsX79eoVugbIIhULWpFRejRkXqamp6O3tZTg3VlRUsPbT1taGmpoa8vLyaAH3OqJNHl1dXejq6kJeXh5MTU3h4eEBDw8PODg4yI0Iurq6MsScpEXB9evXWRHLsLAwhjGMqpE5aUxMTHDgwAE8f/4c9+7dY9j0yyIRG8qimbLC0M7OjtXTLjo6GlVVVXRUUCgU4smTJ9i0aRO9j0AgQH5+Put6ueoIFTExMUGbnyhKrZQHRVEwNzenBZvkR5WehLKCms/n4/3330dWVhbGx8fpcbFYjPz8fPT392P79u2chiCyYs7W1ha3bt1iOb/y+XwcOHBAaYsOLuQZofj7+7M+Sz4+PjA0NISzszOjpnJwcBALCwsKXx97e3tkZmZifHwcZWVlqKur4zQNkrinPnz4EOHh4QgNDVXYH5FAIHx/IWKOQCAQ3jCTk5MoKipCXV2dXBGnra0NfX39VVmRLy8v48mTJ6iqqkJUVBSioqJUcqtrb29nGVJwuVjKg8/nY/fu3fjiiy8UpnzOz8+rZOjyJhkfH0dpaSlKS0uhpaUFNzc3eHh4wM3NjTE5dXNzY9S+jYyMICcnh9Wg2dbWliF8gNVF5qShKAre3t4YGxvDw4cPOfdJS0tDeHi4SseTFgIAM8VSgoGBAYKCghh1jNXV1YiJiaGjbiUlJSxxuWHDBqXtLcRiMQYGBvD8+XO0tLSo1D6DCz6fj6NHj8LS0nLNUSFZgcLn82Fubo733nsPN27cYKVGNjc3Y3R0FJmZmQzDEq5m4Q0NDSxDFHV1dezfvx+Ojo5rul6A2wilsLCQ9V5ERkYCWBHr0rVzYrEYPT098PDwUHouU1NTbNmyBYmJiaiqqkJFRQVnKuzMzAwePnyI4uJiBAUFITIyUq4zJ4FA+H5CxByBQCC8IaamplBcXIyamhq5rnyampqIiopCZGQkCgsLFYq50NBQzh5fS0tLKCwsREVFBWJiYhAWFqbQBEQ2wmBnZ7eqCdvc3BzGxsbeSO2eLCYmJnTz6snJSZZJy2pYWFhAY2MjGhsbQVEUHBwc6Kidra0tNDU1GWYulZWVjMfr6Ohg7969LFGzlsichKqqKrlCDlhxs/T391caFZmcnMTY2BhjTLp+Spr169ejpqaGXkgQCAQoKytDcnIyXr16xTBJAVaaa0sax8uyvLyMrq4uPH/+HK2trYwWD2tFIBCguLgYu3bteq1jSCN5j7S0tJCZmYni4mI8evSIsc/Y2BhOnDiBHTt20K0euGrMZIWcmpoaMjMz5Tq/qoqHhwd0dXUZokrWXMfOzo6O/PH5fNjZ2THqJLu6ulQScxJ0dHQQFxeH6OhoNDQ0oLS0lHUfAaAbx0t/Jn76059ytpAgEAjfL4iYIxAIhNdkdnYWjx8/RmVlpVzBIzEriIqKoifuXHU/0tja2iImJgZFRUWora1lRfnm5+dx//59lJaWIi4uDiEhISwhsri4yKqfURaVW1paQk9PDzo6OtDZ2YmhoSGF+yuDoigYGxvDwsICZmZmsLCwgLm5OUxNTRlC6eTJkwqPs3HjRhgbG9NNkhWZbojFYnR3d6O7uxv379+HiYkJp52+9DXu3r0bhoaGrG1rjczV1tayjFVkmZmZwZ07d7Bnzx6F+8mmWOro6Mit2zI2NkZAQADq6+vpsYqKCkRHR+PBgwesujvZVgTz8/N48eIFWlpa0NbWprJ4VVdXh5ubGzw9PTE8PKywb1pLSwtOnTqF/fv3r6kOVJ6YA1aeU1xcHGxsbHD16lWGff/i4iKysrIQGxuLhIQEuU3aJfB4POzdu1eucF4NampqCA4OZvX1k0Y21dXJyYkl5taCuro6QkJCEBwcjLa2Njx58kTpsT7++GPY29vj3XffXdM5CQTCtwMRcwQCgbBG5ubm8OTJE1RUVMid4Kurq3PWuYnFYqUiqaysDIGBgdi6dSvWr1+PgoICVpQNWBEEd+/exZMnTxAfH4+AgAC6/ur58+esybuvry/j8UKhEP39/bR46+vrW1O/L4qiGJE2yY+ZmZnSdLqenh6ldVc1NTX46U9/Ci8vLzrlTyLslL2WyhwUExMT5boeriUy19DQwJlympycjK6uLka6XVNTEzw9PRWKbNkUSxcXF4U1jzExMQwxt7S0hGvXrrFE4bp162BpaYnJyUm6/q27u1vl919HRweenp7w9PSEi4sL/Vrdv3+ftS+Px2Mcd3BwECdOnMCBAwdgaWmp0vkkKBJzEtzc3PDBBx8gKyuLtXBSXFyMwcFBhZFGiqKwZ88euVHLtSBrhCKNgYEBvL29GWNOTk4MYxlV6uYUQVEU3N3d4e7ujsHBQZSWlnJ+p0jo7e1Fbm4u4uPj13xOAoHwzULEHIFAIKyShYUFlJaWoqysTO7EXk1NDevWrUNsbCz09PRY22dmZlh1bJs2bUJubi799/DwMDo7O+Hi4gITExPs2rWLFnVcbnWTk5O4efMmSkpKkJiYCG9vb9ZEzc3NDTo6OhgaGqLFW3d3t8rRJkW88847cHBwWNNjZSe4BgYG2LJlCy5cuECPjY2Noa2tDe7u7qAoCra2trC1tUViYiKmpqZoYSfpI6cqHh4eCvvirTYy19TUhBs3brDG4+PjERMTg8DAQHz88ceMiNHdu3fh6OjI2dxZKBSyGlYrixSZmZnB19eX4aDK5axJURQ+++yzVUVfTU1NaQFnZ2fHadwi28w6LCwMPj4+yMrKYmybmprCV199terolypiDliJUh4/fpzT0ESR0yhFUdi1axdLXEkQi8VYXl6GQCDA8vIy/aPsb0X3pcTBUhrZujlgxdX0TQhMKysreHp6KhRzwMqiUkNDA5KSkhAcHKzUqIdAIHy7EDFHIBAIKrK4uIjy8nKUlpayJqsSeDwegoODERcXxzkxlyA7edbQ0EB4eDiqqqoYbnxlZWWMiJGlpSUyMzPR39+Phw8fsib5wIrouXz5MvT19VmRhxcvXuDf//3fWUJSGXw+Hw4ODqwIkTRXr17F+++/zyleFTE8PMxqoB4VFQV3d3eYm5szjDZKS0vh7u7OOoaBgQFCQ0MRGhoKgUCAjo4OtLa24sWLF0rrvEQiEYRCodzooaxQkOzPZRjS3NyMq1evslJiY2JiEB8fDwDQ19fHli1bcPXqVXr7wsICbt68iUOHDrEibn19faxFAy7zE1liY2OVtsOQrRuUh52dHTw9PeHl5cUwEJGH7OdDS0sLTk5OOH78OM6fP89wEF1aWsL58+exefNmhIaGqnQ9smJOUeRX0vvQ1tYWubm5KjnLisVilJeXo6SkhFOQfRP1oyEhIawxdXV12NvbM1IiOzs7X1vMDQ4O4t69eyq7kM7NzeH27duorKxEamoqZ0N7AoHw3UDEHIFAIChBIBCgoqICT548kSuCKIpCYGAg4uPjYWRkpPSYsmLO0tISPB4PERERuHv3Lj3+4sULjI2NsSbQtra2OHz4MLq6uvDw4UP09vayziFPxKgi5Hg8HmxtbeHs7AwXFxfY2dlheXkZv/vd7+ROhqempnD58mUcOXJEqTOiNLKGHNra2ggJCQFFUYiKimKkK0pq+BQ1bObz+XTkqLW1lRHd46KtrQ2nTp1CZmYmZ/2WbGQOWBEgsqYlra2tuHLlCuv1iYqKQlJSEkOk+fn5oaWlhWH40tHRgcrKSpa7pWwEycrKSiXBbGlpCXd3d5ZQVgU1NTW4uLjQr+NqBTqXmANWIobvvfceLl68yLhnxWIx7ty5g4mJCWzYsEFp2wxVI3MSKIpCREQErKyscPnyZZWanCurp3vTXL58GZmZmSyHWicnJ4aYk20cvxpmZ2fx8OFDRt/I1TA8PIyvv/4aPj4+2LBhg0rfdQQC4ZuFiDkCgUCQw/LyMqqrq1FcXKxw8ufv74/4+HiVGlhLkK3hkdQMBQYG4uHDh4zJcFlZGdLT0zmP4+TkhGPHjqGtrQ0PHz58LbMSS0tLODs7w9nZGY6OjqxJZVdXF0uoyDbj7unpQW5uLjZv3qzSOV++fMlysIyIiKAFlL+/Px48eMB4/UtLS7Fz506Fx52dncW9e/dUdsfs7+/H559/jszMTFYfMS6hIBAIGGKura0Nly5dYtWahYeHyxUnmzdvRnd3N0N0379/Hy4uLgzxLivmVElHFIvFaG9vX5WQ09bWhoeHBzw9PeHq6sopYlVFnpgDVursjhw5ghs3brAih6WlpZicnMTOnTsVCrTVijkJjo6OiI2Nxb1791Ta/9uks7MTJ06cQEZGBsNFUjYKNjQ0hPn5+VX1hRMKhaioqEBhYaFCIyBpHB0doa2tzZnS/ezZM7S0tCA6OhoxMTGvda8QCITXg4g5AoFAkEEoFKK2thbFxcUKmz37+PggISFhTfbdsqJLEmnS0NDAunXrGNGq+vp6JCUlyW0ULjE1cHNzw7Nnz1BQUMBpPy6LsbExLd6cnZ3pPmTykE3JkjQo/uKLLxjNwSsrK2FlZcWZNibLkydPGAKRz+cjLCyM/ltdXR1hYWEoKCigxxobG5GcnMyZxioWi9HQ0IDc3FzMz88rPb80MzMzOHXqFLZu3YrAwEB6XF5kTkJnZyeysrJYqXchISFITU2VG2XS1tbG9u3bcfbsWXpseXkZ169fx7vvvgs1NTXMzMyw7hVFYm55eRkNDQ0oKytTuQ9cREQEvLy8FDZdXy2KxByw8r7u3r0bJiYmjMbYwEqq6tTUFPbt2yc3IrgWMTc3N4ecnJzXan+hDHV1dcYPn8+Huro6FhYWWM3puZC0T9i2bRttVGRrawt1dXVGvV1XV5fcej5ZXrx4gdzcXEb6tjRGRkbYsGEDKioqGFE/Nzc3xMTEoKOjA7m5uaw2KkKhEMXFxairq0NKSgr8/f2VRlQJBMKbh4g5AoFA+P+RNM9VhqenJxISEhSm+iliaWmJNbGSPlZ4eDhKS0vpKI8kQhgbG6vwuBKnShsbG/z5z39WuG94eLhCocEFl5jT1dVFZmYmvvrqK8Zk8+7du7CwsGBFuaSZmZlBXV0dY2zdunUs0RoWFobHjx/TxxeJRKioqEBKSgpjv5cvX+L27ducdYTASj81LS0tNDc3y70moVCIGzduYGhoCBs2bACPx4OamhrLiVEiJrq7u3HhwgWWsUVQUBDS09OVvr6urq4ICwtj1K4NDAyguLgYCQkJrBpFDQ0Nztd0ZmYGVVVVqKysXHU95Pz8PExNTd+osYUyMQes3K9JSUkwNjbG7du3Ga9vf38/Tpw4gYMHD3IulqymZg5YaYVw+/ZtzMzMrOZpQF9fH8nJydDW1mYJNNm/1dTUON/vyclJnDlzRuVzLi0t4cqVK+jr60NKSgrU1dXh4ODAuK9VEXNjY2PIzc2Va/TC5/MRExODqKgo8Pl85OTkMLZLMg1cXFzw4Ycforq6Go8ePWItkkxPT+P69et0PZ2tra3Kz5VAILw+RMwRCIQfPSKRCP/wD/+gdD83NzckJCS89mRFdoWboihYWFjQfxsYGMDX15fhMifpE6asFk0sFrMmZVxUVFRgZGQE27dvV6nuRSgUsmqIJM6V1tbW2Lp1K65fv87YPysrCx988IHcPmLl5eUMEcTj8RAVFcXaT0dHB4GBgaiurqbHqqurERcXBw0NDYhEIpSXl+PRo0ecTpNaWlrYuHEjgoKCUFxczBBz9vb2UFdXR2dnJ+MxksjW7t27oa2tDT6fz0hPW1paQm9vL86fP886p7+/P7Zu3aqyUN6wYQM6OjoYAr+oqAju7u6sibiLiwvjHhgZGaHt5ddqytHQ0IDnz58jLi4OkZGRq6p35EIsFqsk5iQEBwfDyMgIWVlZjNf41atX+PLLL5GRkcFqGyErnuVF5ubn55Gbm8to07AapqenUVhYiC1btshtXaGI0dFRnDlzZk3N1svKyjA4OIg9e/bA0dGRJebksbCwgIKCAlRWVsptMREQEMCIbi8uLrKErnSqL4/HQ1hYGPz8/Ohjy6Zc9/X14cSJEwgMDERycvKa+gcSCITVQ/xlCQTCj5qlpSWl9TN6eno4duwYDh48+EZWnWXT5mSbZwNAZGQk4++ZmRmlzoTAii2+qnVSXV1d+OSTTzgbknNds+wE2t7env49ICCA85ovXbrEace+uLjIclIMCAiQ6wAqe+yFhQXU1dVhaGgIJ06cQF5eHqeQ8/X1xc9+9jMEBweDoihWHSCPx8OhQ4dYpiPASm+3EydOYHR0lJVq2d3djXPnzrFcJn18fLBjx45VRbkkbovS4k8sFuPatWtoaWlh7Ovq6gqxWIy2tjacPXsWn3zyCerq6l7bXXFpaQn5+fn45JNPFFr2q8Ly8jJLRCjrUebs7Izjx4+zFhYWFxdx7tw51NbWMsZVSbN88eIFPvnkE04hp6WlxRIbBgYGnHWvL1++xNmzZ3H9+nWVjFMk9Pf34+TJkywhZ2xsDC8vL8aYn58fgoKCWMfo7u7GZ599xhLYIyMjrGsRiUSoqqrCf/7nf6K8vJxTyNna2uL48ePYuXMn47MmmylAURSMjY1Zj9fW1kZaWho++ugjueK2vr4e//Vf/8WIphMIhG8OIuYIBMKPlo6ODnzyySdK7dlnZmZQWlrKMPp4HWTNT7jSNW1sbFg928rKyhSKrvn5+VUbOywtLSE7OxtZWVkKU9BkUyzNzc1Z6ZAbNmyAs7MzY6yvr48zUlhVVcUyYli/fr3c85uZmcHDw4MxlpOTg88++wyDg4Os/fX19bFv3z7s2bOHUXclKyoWFxfB4/GQlpaGbdu2sUTYxMQETpw4wZqQP3r0iHX9np6e2LVr15rSFW1tbREXF8c6t6xomZqawieffIJz584pbBPh4uKC7du3r/o6xsfHce7cOVy8eFGlGi8uuNp2qNJw2tzcHMePH2ctmIhEImRnZ+PBgwf0/a9IzEnaPJw/f54zIubu7o6f/vSnjLpIYCXS/NFHHyEuLo7zPWxoaMBf/vIX1NXVKV386OzsxOnTp1kpiRYWFjh27BgrdVQkEmHbtm1IT09nCbeZmRnk5+ezziFd39bV1YXPP/8cd+7c4Uyz1dPTw44dO3D8+HHONF1ZMWdkZKQwddXCwgKHDh3Cvn37YGJiwtq+tLSEBw8e4OOPP0Zzc7NK7SAIBMLaIGmWBALhR8f8/Dzy8vJY9VqKeP78OZ4/fw5nZ2fExMTA2dl5zcX+XG0JuIiKimKIqMHBQfT09MDR0ZFz/7y8PKWRg7S0NDx58oRhWAKs1BT19vYiPT2dsxaHq15OFh6Phz179uCLL77A5OQkPV5TUwNra2u6h9jy8jLKysoYj/X29lbavywqKgqtra0K9wGA0NBQpKSksKJwAFhj0oIsODgYZmZmyMrKYryO8hrDS+Pu7o49e/a8VopibGwsXrx4gYGBAbn7KKrpVFNTg7+/PyIjI2FpaclIS5WHhYUFK+0XWLkf2tra1uRWuFYxB6yIjqNHj+LGjRt49uwZY9vjx4/x8uVLbN++Xa6Ya29vR3Z2NqdxkaamJjZt2oSgoCBQFMUSbCKRCOrq6khMTISfnx9u377Nuu/n5+dx8+ZNNDQ0YMuWLZyRvOfPn+PKlSusaKmdnR0OHDgAbW1tzkb0FEVh3bp1sLKywqVLlxSaLwErAs7Gxgb3799nvVYS1NTUEBUVhZiYGM7PgwRZMaeKMy9FUbTzaXl5OYqKiliflZcvX+LSpUtwdnbGpk2b5H7XEQiEtUPEHIFA+NEgFovR3NyMu3fvripdSprOzk50dnbC2toaMTEx8PLyWlUkRiwWqxSZAwAPDw8YGxszIiSlpaWcYq6zs5MlTj09PTE4OMiYFGppaeGjjz5Cbm4ua/+5uTlcunQJgYGBSE1NpSfgYrGYNamVjRpK0NHRoQ1RpCfcOTk5sLCwgIODA+rr61lRQHlRucXFRXR2dqKtrU1hJApYid5t3bpV7rUBbDEnKzzs7e3x/vvvIysrizPix4Wuri5iYmIwNDQEkUj0Wj+mpqYKxRwX2traCAsLQ1hYGCMKKWsp7+npif7+fsZrL3nNcnJyWOeVuBXW19dj48aN8PHxUWkBQ/Y11dDQWHXa6Z49e/DgwQNWD8Kmpia8evWKdf+IRCLcvn1broB1dXXF1q1bYWhoSI9xiTkJ5ubmeOedd1BTU4P79++zorCdnZ345JNPEB8fz6hlra+vx82bN1mRKFdXV2RkZNAiTlbMSYsgW1tbfPjhh7h69apcMx9gxTW2pqZGboqtt7c3NmzYwJkuKYusmOOKtslDXV0d69evp9uqyKbEAiuv12effYZ169YhMTFRrjMvgUBYPUTMEQiEHwXT09O4e/cuZ88kYKWnEo/HYxlhaGpqcvZlGhwcxOXLl2Fqaoro6GgEBgaqFJXhSp2Tt1otaSIunTrZ0tKCiYkJxmRLIBDg1q1bjMdqaGhg8+bNuHPnDkPMDQ0NISAgANu3b4enpydu377NErb19fXo7OzE9u3b4eLigomJCVbqliLBZGVlhe3bt+PKlSv0mEgkwqVLl/Dee++xJujOzs50ap1YLMbg4CDa29vR1taGvr4+uSYO0tjb2+PIkSNKXQ250izFYjFDpBgaGuLYsWPIzs5WycZ+dnYWJ0+eVLrfm8bMzAyRkZEICAhg1YwtLCywhICfnx/s7e0ZKXvPnj1DcnIy3nvvPdTV1SE/P5/1Xk9NTeHKlStwcnJCamqq0ujKasxP5EFRFFJSUmBsbIw7d+4wxBFXM+/c3FzO42hoaGDjxo10E3ppFIk5yTWsW7cOHh4eyM3NZdWsCoVCPHz4EI2NjUhJScHg4CAePXrEugYfHx/s3LmTcW/Kvl+y3wk6Ojo4ePAgCgoKFEZjuYSchYUFUlNTWSnPipAVc8qi5Fzo6elh27ZtCA0Nxb179xhN4YGVz3ZVVRUaGxuRkJCA0NDQ1zbbIRAIRMwRCIQfOGKxGLW1tcjLy+MUZRoaGtiwYQPWrVuHpqYmhpjT1NTEX//1X6OmpgZlZWWcNWXj4+O4desWCgoKEBUVhXXr1ilMSZONyunq6srtpQWsWNzL1meVl5cjLS2N/ruoqIhV35SSkgIDAwNYWloyUhOlz+/l5QV7e3vcvn2bJXKnpqZw5swZhIeHs1Ku9PX1lTpg+vr6YnBwkCHcZmdn8ac//YnzOTY0NNDRt9Va6wMrZhONjY2cJhLSyEbmRCIRlpeXWZNrPp+PXbt2wdLSEg8ePFj19XyTuLi4IDIyEm5ubnIjZS9evGCIEzU1Nbi7u0MsFqO4uJhxPz158gTp6ekIDg6Gt7c3CgoKUFFRwYoudXV14bPPPkNYWBgSEhLkNq1+E2JOwrp162BkZIRLly6plO4qjbOzM7Zt2yb3XpUVc/LquvT19bFnzx4EBASwFkeAFTOS8+fPcz42ODgY6enprHMpisxJX19SUhJsbW1x/fp1pc2+tbW1kZiYiHXr1q06W2AtaZbysLGxwbFjx9DU1IT79++zXq+FhQXcu3cPVVVVSE1Nhaur65rPRSAQiAEKgUD4ATMxMYHTp0/j1q1bnBMhDw8P/OxnP0NoaCgoimKlLy4uLmJychLr16/HX//1XyM9PV1uytL09DTy8vLwhz/8AY8ePZIrSLjq5RSlrmlqarKab9fW1tIT5uHhYTx58oSx3d7enq5Pk03h5BKTGRkZ2LFjB2dNTUVFBcvAxMHBQaV0u6SkJJUmatevX8f169fx9OnTNQk5YEWU3bx5E48ePVJotsD1HOVNkimKgr+//5qu55vigw8+wOHDh+Hu7q7wPZAV5y4uLtDU1ISWlhbWrVvH2FZXV0cvVGhpaSE1NRUfffQRZ2RHLBajoqIC//Vf/4Xq6mrOqOmbFHPASori8ePH5TqdysLn87F582YcPnxY4aKD7OunLAIs+b6IjIxU6f6Pjo7G1q1bOYWV7OKBIqHq6emJ9957T+n5DAwMoKmpuWpn05mZGdb5X0fMASuvrZ+fH37+858jPj6eM2I+NjaGs2fP4sKFC6w0bgKBoDokMkcgEH5wiEQilJWV4dGjR5zW2Do6OkhLS4Ovry9jUqavrw9TU1PGKnVXVxesra2hrq6OdevWITg4GM+ePcPjx49ZwghYmcgWFRWhtLQUISEhiIqKYtTpqFovJ01ERATDyVIgEKC6uhpRUVHIzs5mTEJ5PB6jWbVsStzs7CxmZmYY0UCKohAYGAgnJyfcvHmTlWoqS1NTE7S0tCASiSAWi1l1X9JjaxVn0qipqcHBwQFLS0tKHUWLiorw6tUrbN26lTOFi0vMLSwscEZHp6encfr0aaXXJzHTUPVH0oRc+kcsFit93QGgt7cX1tbWCvcRCASs9hTSVviRkZEoLy+nJ/1CoRDl5eVITk6m97GwsMDhw4fR3NyMvLw8lmHO3NwcXaOWlpbGMMR5U2Jubm4OfX196OvrQ39/v1JDEGAlXXr79u0q1YkpS7PkQkNDA5s2bYK/vz9u3brFWpyRoK+vj5SUFLmij8sARR4CgYDTzVKW4eFhXL9+HTk5OfD398e6detUMhyRjcqpq6urLJyVwefzkZCQgODgYOTn53OmLbe2ttLZA3w+H3/zN3+zKsMdAuHHDhFzBALhB8Xw8DCys7PlmkgEBARg06ZNcgvwHR0dGZOb7u5uRiNrHo8HPz8/+Pr6or29HY8fP2ZYhEsQCAQoLy9HZWUlAgICsH79epiZmansZCmNoaEhfHx8GDU7FRUVoCiK9TxjYmIYDchNTEzA5/MZk8WhoSG4ublxnufw4cOoqKhAfn6+wh5Rqjglvg6mpqZwdXWFq6srnJycoKGhgatXrzLEnIuLCywtLVFaWsp4bH19PaamppCRkcESEurq6lBTU2NEL7giczMzMzh9+jQmJiaUXuvOnTtfK4K3sLCArKwslfZ99OgRfH19oaurK3efjo4OxvstcR2UoK+vj4CAAIZRRVVVFcvxkKIo+Pj4wN3dHY8fP0ZJSQkr6jM4OIivvvqK0Sh6LWJueXkZw8PDtHDr6+tbdWsEZ2dnHD58WGWX2bWIOQk2NjaIjo7GtWvXOLdPT0/jxo0bSE9P5+yBp0qaJbByb1y8eJHzO0YeCwsLqKysRGVlJWxsbBASEgI/Pz+5bpZjY2OMv01NTdfs1MvF4uIi5ubm4OHhgbm5OYWmLgKBAP/yL/+C3/zmN2/s/ATCDx0i5ggEwg+C5eVlFBUVoaSkhHNSZmhoiPT0dE4RI42joyNqamrov7u7u1kGGcDKRNfNzQ1ubm7o7e3F48ePOW3zRSIR6urqUFdXB0dHR1Z0QZXIHLASTZEWc1NTU7h//z5jH1NTU8TGxrKu09LSkmEaIU/MSfaPiIiAq6srPvnkk1VNcF8HDQ0NODs7w83NDa6urqzIyvLyMuv19fb2RmhoKIyNjZGTk8NIr+zs7MRXX32FAwcOsFLttLS0GKYvsmJubm4OZ86cYU1yzc3NERkZyTKbuXnzJgwMDOS2jFDE5OQkzp07xzoXANps5Ouvv6bHFhYW8PDhQ2zdulXuMZubmxl/Ozg4sMRfdHQ0Q8wtLCyguroa0dHRrOPx+XwkJiYiKCgIeXl5nCZC9fX1aG5uRnx8PCsaKysixGIxJicnGcJtaGjotRuf9/T0oKOjQ+UarNcRc52dnbh586bCfRoaGjA0NISMjAxW2qKswBMKhRCJRIxrmpmZwdmzZzkzACS4u7ujr6+P1c9OwsDAAAYGBpCbmws/Pz+EhITA1taW8X32JurlRCIRJicnMT4+jrGxMYyPj9M/XL3+lFFUVISYmJg19WwkEH5sEDFHIBDeenp6enDr1i3OCTEAhIWFITk5WWGfJQlOTk6MvxcWFjA8PKxQdNnb22P//v0YGRlBSUkJnj59ylm3xbW6PjAwgJcvX0JTU5P1o6amRk+67OzsYGdnx+nkJ2Hr1q2ctSmyYk7R5FCCQCCAurr6qk0nVoupqSnS09Nhb2+v0Nmuo6ODdS2S1MGwsDAYGBjg6tWrjIjU6OgovvzySxw4cICRmqipqSlXzM3Pz+PMmTOs3msmJiY4fPgw9PX1IRAIGA6jQqEQWVlZOH78+Komwv39/bhw4QLLTZTP52P37t10NM3Pz4+RnlZTU0NPymURCoUs0SudYinBzMwMXl5eDGFWVlaGiIgIue+DsbExMjMz0d7ejnv37rE+b0tLS6wFBmBlgaCjo4Mh3t5E+q0sQqEQFy9exKFDh1QS1qoaoMgyNDSEixcvqiQ+R0ZG8Pnnn2P79u3w8fGhx7nSCAUCAf0d9fLlS5w5c0ZpdDIjIwPAisttTU2N3KiXQCBAbW0tamtrYWFhgeDgYAQGBkJbW3tVYm5ubo4l1sbGxvDy5cvXFuPSPHr0CO3t7di1axcjTZ1AILAhYo5AILy1LC4u4sGDB6isrOTcbmZmhm3btnE2uJaHgYEBq7dbd3e3ShE0CwsL7Ny5E4mJiXjy5Alqa2sVpioCULi6z+PxGOJOkQgLCQmRO4FVZoIiy8DAAM6cOaNQyElsxSU1X1x1Y5Kx4eFhuQ3al5eXYWtrq9SinCvaJF3n5unpiXfeeQfnz59niKOZmRmcPHkSe/bsgYeHBwD5veYWFhZw9uxZViqssbExjh49Cn19fQArNYwTExOoqKig95mfn8f58+dx/PhxlXpoNTc349q1a6z7Q09PD/v374eNjQ09tmHDBrS0tLD69h0/fpwVMe7u7mZFabiawAMrvf2kxdz09DSePn2q1BHU1dUVH330ESoqKlBQUKBU8FdUVDBeq9Wgrq4OW1tb+sfOzg75+fl4+vQp5/7Ly8s4f/48jh49yngNuVitAQqwIrLOnTu3qkWOpaUlXL58GZGRkUhJSYGamhpn6uXS0hL9OT979iyne640+vr69OKNr68vfH198fLlS9TW1qKurk5uRGxkZAS5ubnIz8+Ht7c3q77S0NAQIyMjLNE2Pj4uNwL4TdDT04NPP/0UW7duZQhhAoHAhIg5AoHwVvLixQvcvn2b0xSBx+MhJiYGsbGxSvuOceHo6MgScxERESo/3sjICJs3b0ZsbCy++uorTE5OrvoagJXJ5fz8vEoTqA0bNsjdJivmxsbGIBAIOCeU/f39OHPmjFIbdDc3N0YdliIuXbokd9urV6/w+PFjJCYmyt1HJBKhpaWFMcYVbbKxscF7773HSlsUCAS4ePEi0tLSEBYWxtlrbnFxEefOnWPVIBoaGuLIkSMsQ4hNmzZhcnKSEQWbmJjAxYsXFfa7E4vFKCsrQ15eHmububk5Z1qogYEB4uLiGC0S+vv7UVdXh+DgYMa+simQ1tbWciMbdnZ2cHR0ZESMS0pKEBgYqLRmSk1NDVFRUfD390d2djZLEKwVMzMz2NnZ0cLNwsKCFUFT1sx9aWkJZ8+exdGjRxXWpK42zXJ2dlZlkaWtrc2K7paVlaG/vx979uzhFPwCgQDd3d24cOEC6/NnbGwMd3d3hijmMnkxNjZGUlISEhIS0NbWhpqaGrS2tnJGHYVCIachye3btxU+v7ViZGQEU1NT+sfMzAxlZWUK752FhQVcvnwZwcHBSE1NJcYoBAIHRMwRCIS3irm5Ody7d0/uyryNjQ22bdumkrGIPBwdHRmRJHl1c/IQCoWor6/H48eP1yzkVsvVq1eRmprKmSIlbYgCrAiK0dFRVuSir68PZ8+eZU0knZ2dMTMzg9HRUXqsoqJCJTE3OjrKiqrJUlJSgqCgILkOhKuJNhkZGeHdd9/FpUuX0NXVRY+LxWLcvXsXk5OTrAnh9PQ0zp8/z0ph1dfXx9GjRznt7Xk8Hnbv3o1Tp04xxEVvby9u3ryJXbt2cUZ+7t27xxlJdnFxwd69e+WahURGRqKuro6REpefnw8vLy+635tYLGaJOXmvk4To6GiGmBsbG0Nra6vC93ZpaQnd3d3o6OhAZ2enSmm7XOjo6DAibra2tkrNUpaWlljpnceOHcOTJ08Ygl+SLnvs2DG5aYOrEXNLS0u4cOECyxDH0dERQUFBjAi7hoYG3nvvPdy5cwf19fWM/Xt7e/HZZ59h9+7doCiKIbIaGxtRXFzMitZaWlri0KFDrObhitou8Hg8eHh4wMPDA9PT06irq0NNTc03/n2kpaUFMzMzlmgzMTHhXOCQbbLu6emJ4eFh1nXW1taip6cHu3fvVurmSiD82CBijkAgvBWIxWI0Njbi3r17nPU26urqSExMRGRk5GsXzcvWzc3NzWF0dJQlimSR1KWUlJSoZKMuC4/HW7PhSFtbGz755BNER0cjNjaWEXXT0NCAiYkJYyI6NDTEEHO9vb04e/YsK33MxcUF+/btQ1NTE2PC2tHRgfHxcaU1Yo8fP2b8rampiYMHD+LkyZP0RFYoFCI3Nxf79u3jPIasGLS2tlY4kdXW1sbBgwdx69YtNDQ0MLbJ9uSTN6anp4ejR48qtLjX0NDA/v37ceLECcb73djYCCMjI4bV/9LSEq5cucIZhQgODsaWLVsUppqqq6sjNTUV586do8fm5uZQUFBAN5Dv7+9npdZxRTClcXd3h4WFBSOKVFJSwhBzQqEQfX19tHjr7+9f830aFBQEFxcX2NrawtjYeNWuibLCkaIoWFtbY8+ePbhw4QKjZmx2dhanT5/GsWPH5ApyaeQ9J6FQiCtXrrDaYlhYWGDfvn2stNyZmRnw+Xxs374d9vb2yMnJYdSTSQx2ZJEVNsCKWNy3bx+0tLRYAkfRZ0AafX19xMbGIiYmBp2dnaitrUVTU5PKNYKy8Hg8mJiYcIo2VVKMJYhEItb7GRoaCjs7O9y5c4cVNRwfH8eJEyeQnJyMqKioN+q4SSC8zRAxRyAQvve8evUKd+/e5XSLBFYiR+np6TAxMXkj5zMyMoKhoSGjt1Z3d7dcMbe4uIiqqiqUlpayzCxURUNDA0eOHIGlpSWd9rewsED/Lvlpa2uTm5YkFApRXFyMhoYGpKamwtPTk57wWFlZMcSc9CSqp6eHsw7I1dUVmZmZ4PP58PX1RV5eHiNCVllZidTUVLnP6eXLl6wIanh4OOzt7REeHo7y8nJ6vKWlBW1tbSyXzbVEm4AV8bNjxw4YGhqyIhrK0NHRwZEjR1QyM9HX18eBAwfw1VdfMV6/x48fw8TEBMHBwXTkj6snWVJSEmJiYlSamLq5ubFMSyorKxESEgJLS0uW6DUzM4O5ubnCY1IUhejoaNy4cYMe6+3txcWLF+Hg4IDOzk50d3cr7IO2Gvr6+rB+/fo1f1ZlUyzNzMzohYvMzEycPXsWvb299PapqSla0ElqHiWoIubEYjFu377NWVd28OBBaGlpsXoULi4u0mnM69atg42NDS5durTqqJinpyd2795NPz9ZMxRVeulJQ1EUXFxcYG1tjfHxcaXpqtIkJSXBysoKpqamMDIyeiMukxMTE6z7ysrKClpaWti1axfc3Nxw9+5dxudKJBLh/v37aG9vx44dO1jvKYHwY4R4vhIIhO8l8/PzGBsbw29/+1v88Y9/5BRympqa2Lp1Kw4fPvzGhJwEWTMRLifK+fl5FBYW4o9//CPy8/PlCjkbGxtkZmbi/fffl3s+SZ3P+Pg4dHV1YWJiAhsbGzg7O8PLywuBgYEIDw9HTEyM0mt/9eoVsrKyGGlhsmmnEmEhT8i5ublh37599ESSz+ez6rPq6uoUGkGUlJQwVv/5fD4iIyMBAAkJCSy7/Hv37rEc8biiTaqIOWBl8pqUlIRt27apPPnU1tbGkSNHlIogaSwtLbF3716WIMvOzkZJSQlOnDjBEnJqamrYvXs3YmNjVxVh2LhxIyNdTZI+yiV6lUXlJPj5+bHGWlpacP/+fbS1takk5LjqL7kYGxvDiRMnWDWQqiIrQKRT7jQ0NFjOpcB/O0PKRvRVcbN8+PAhy7xHEvmV1FFyNZyXrquztrbGBx98QBvwqEJQUBAyMjLo11XSzkGa1Yo5YOVz//nnn69KyAEradUTExMwMDB4Y+0CZD8Tenp69GtJURQCAwPx4YcfchrZdHR04C9/+Qvu3r0rt6cogfBjgUTmCATC95J/+7d/U7pPeHg4tLS00NPTAz09Pejq6kJTU/ONpN84OjoyUvS6urrournZ2VmUlpaisrJSoZhxcHBAbGwsXF1dQVGUUuOEhYUFpXU+XM8tKioKZWVlrMnoixcv0NHRgfXr17OiisPDw+jq6sL58+dZk3V3d3dkZGSwalxCQ0MZKYmLi4toaGhAaGgo65qmpqZYk+B169bRaVhaWlpITk5GdnY2vX18fBxlZWVYv349PcYVbTIzM2OdTxHBwcEwMDDApUuXlLoQzs/P48KFC1BXV5f7o6amxjlmYmLCsnnPz89nnUNbWxv79u2Dg4PDqp4HsDKBX79+PQoLC+mxnp4ePHz4kFXPpUj0zs3NobOzEx0dHQqbOMuDx+PBzs4Ozs7OcHFxweLiIs6fP8/YJykpCba2trhy5Qojoru4uIiLFy8iPj4e8fHxq/q8ygoAWXMfLS0tHDp0CF9//TUjdXR0dBRnz57FkSNH6Lo8ZW6W5eXlrDRhdXV17N+/nyH2NTU1oa6uzqh1m5mZYYgtyXteUlKChw8fKkxxjIqKwoYNGxjXNzs7y/qcqppmKaGxsRE3b95U6rDLxczMDO7du4eSkhLExsYiODh4TeZS0ih7L4GVliDvvvsuCgoKWO/F4uIi3Rw9JCREYe9FAuGHDBFzBALhe4esaYA8uNLn1NTUoKurS4s7yY/035LftbW15a4yy9bNzc7OoqurCy0tLaiurlY4IXJ1dUVsbCwruqerq8uqi9PS0qKt8SXnUVTnI4uGhgY2btyIoKAg3L17lxVBFAqFKCoqYj3PxcVFRjNqCR4eHti7dy/nRM3Y2BgeHh6MKGllZSXWrVvHmhiXlpYyomxqamqshtRBQUGorq5m1CIVFRUhICAA+vr6EIvFLDGnalROmsnJSYyMjKhcIySdXvtNoK+vj2fPnmFgYACGhoYwMjKCkZERtLS0VBI269evR319PSNSIzvRNTAwYESoBAIB3VS7o6ODM+VTGVZWVrR4c3BwoI1kxGIxPv/8c8a+enp6iIiIgIaGBj744ANkZWWxzllYWIjBwUHs3LlTqfEJsHIvyzpEcplh6Ojo4PDhwzh58iRD4A4ODuL8+fM4dOgQNDQ0FKZZNjU1MXoJAivib8+ePaxWJxRFQU9Pj/F+cC3cUBSFmJgY2Nra4vTp05zPMSwsDBs3bmSNy6ZYqqmpqZxiKBKJkJ+fj9LSUpX2V8T09DTu3r1Li7qgoCClbUXkIVsvJ8+0Sk1NDcnJyXBxccH169c5Wy7U1NTAxcUFvr6+a7oWAuFthog5AoHwvaKqqgo5OTlrfrxQKMTU1JRKBiQURUFHR4cl/CSCTxZ5EzAJnp6eiI2N5WzmLDmfvr4+QyykpaWhuroaPT099JiiOh/Zyb5EoFhYWODo0aNobGxEXl4eazKpimGFp6cn9u7dq3ByFhYWxhBzIyMj6OnpYQjXubk5VFdXMx4XFBTE+VzS0tJw4sQJekzSeHrXrl0YGRlhTWJVFXMTExNobm6mRdP3iZGREZYoAVaEuaReU1rkSX7X1dUFRVHg8/nYtGkTsrKy5J7D09MTAwMDtHjr7e1dU1PndevWwcXFBU5OTnLNLRobG1lCLSEhgRZ7EofRW7dusWooW1tbceLECWRmZipNbR0ZGWHdx/L6P+rp6eHIkSM4efIk4/MmqQc8cOCAXDHX1dWF69evs46Znp4u1+VTX19fqZiToMhpV15drmyKpaGhoUrpjnNzc7hy5Qo6OzuV7iuLvb09NDQ00N7eztr26tUr3L59G48fP0ZcXBwCAwNXnX6pSmROGiMjI5ibm8vtn3flyhXMzs4iLCyMmKMQflQQMUcgEL4XLC8vIycnBzU1Nd/aOcViMWZnZ9dsWgKsCBJfX1/ExMSo1A7BwMCAMbmcn5/HgQMHcPr0aYbokNT5vPPOOyo7xFEUBX9/f3h4eKCgoADl5eUqR6O8vLywZ88epavsrq6uLGfMyspKhpgrKytjpIRRFMVInZTG1tYWwcHBqK2tpceePn2KdevWsSaghoaGCid84+PjePbsGZ49e7amyNN3zdLSklyhB6yk+EmEnbzecRIk6WevS0REhEKRtby8jIcPHzLGzMzMWPWVfD4fO3fuhI2NDfLy8hj3pcSlcMeOHQrFumydl7GxscKInqGhIQ4fPoxTp04xxFVnZycuX76M8PBwxv4ikQhDQ0O4ePEiS/gmJiYiJCRE7rlkF3/kCQ6xWIxbt27JPU5+fj48PDxYfQ3XYn4yODiIrKwszkhzSEgIOjo6FJqyDA0N4a//+q8xPj6OgoICTkE4OTmJ7OxsFBcXIz4+Hv7+/iqJupmZGZbglffZXlhYQFFRESoqKpQuSOTk5KC9vR3btm1j1eQSCD9UiJgjEAjfOVNTU7h06RLL+lsWLy8vWFhY0AJsdnYWMzMzmJ2dVVoL9abh8XgICAhATEyMSq6HEmSjU9PT07Rd/1rqfLjEmqamJjZt2oTg4GDO1EsuNm7cqFK6FEVRCA0NZTS9bm5uxvT0NPT19bGwsMBobAwAAQEBCiefycnJaG5uZqSb5uTksKIw3t7erOc/OjpKCzh5IkhV9PX1sWPHDiwvLzN+hEIha0zeNq4oxptieXkZ4+PjrLq8tcLn8+Ho6AgXFxe4uLjA3Nwcf/jDHxiT7GfPniE+Pl7uMaqqqliCIDk5mXNCT1EUIiMjYWlpiStXrjAMSZaWlnDp0iXExsYiISGB8/GyAl2VfmOmpqa0oJOu22ttbWWJw/n5eZw7d47VZzE0NBSxsbEKzyMrHORF5qqqqlhGNdIsLi7i7t27yMzMZNzrsmJOWQp2Q0MDbt26xUoH5/F42Lx5Mzw8PFgLZ3v37sWVK1fo7xSBQICysjIkJyfjyJEj6OrqwqNHjxhZBNLXd+PGDVrU+fr6KhR1su8ln89nmVgJhUJUVVWhsLCQ1WdSEa2trfj000+xY8cOuLq6qvw4AuFthYg5AoHwndLT04NLly6pFB0zNzdHYmIi5zaBQMAQd7K/S/+9momBPN5991256ZSKkF1xl6SDqlrnsxosLCywf/9+fPrpp0pt0f/85z/D3t4evr6+8PX15UwzlRAUFIRHjx7R0TeRSITq6mokJCSgsrKSNRlW5sCpq6uLhIQERo0SVyNqb29viMVijIyM0AJOtoG0PLS1tWFvby+3vQXw39GU1bgOSlNeXq5UzOno6CAkJASvXr3Cq1evMDk5ienp6TX3/FoNFEXB1taWFm92dnYsAe/j48MQ44rEnCRiIo29vb3SZvLOzs50HZ2soCouLsbQ0BB27drFirqtNi1PgoWFBQ4dOoTTp08z7k2u6JmsCPP29kZaWprStD3ZRRouMTc8PIzc3FzGmI6ODqytrRn3TUtLC5qbm+Hj40OPqepkKRKJkJeXx2j7IUFPTw8ZGRmwt7dnpbtqamrCy8sLAQEBjJrliooKREdHQ1tbG05OTnjnnXfQ2dmJR48eoa+vj3WO8fFxXLt2jRZ1Pj4+nK+d7HtpaWlJiz+xWIyWlhbk5+fLXbiQrTWWZWZmBmfPnkVUVBSSk5PXXNdHILwNEDFHIBC+E8RiMaqqqnDv3j1WBIbP52Pbtm0YHBxkuCcqijDx+Xy6xkgZQqEQc3NztLibmZlBVVWV0sigNFlZWcjIyICdnZ3KjwG4I3MSFNX5ZGVlYf/+/SpF5iTj9fX1ePDggVIXTenz9Pb24t69e3BycoKvry98fHxYaZ7a2trw9/dnrOxXV1cjMjKSZbLg4+OjkvtkWFgYampqFEbXWlpacPPmTZZrozx0dHTg5eUFHx8fODk5oaSkRKGYA4C7d+/io48+WrVTX29vLyNaCazUwKmrqzMiUAsLC/Dz82Ok5ErqPCXibnJykv5dIvrW2qQbWEmp8/DwgKOjo1KjEVkxNzIygrGxMc738MmTJ6yFEVkXRnkYGhri2LFjuHPnDsvw6MWLF/jiiy+QmZlJ15BJUiClUSUyJ8HGxgYHDhzA2bNnVe6Z5+joiF27dqmUNii7+CH7mRMIBLhy5QorTXDHjh2wtbXFxx9/zFjQysnJgbOzM7S1tQGoFpmbnZ3FlStX0NXVxdpmb2+PvXv30t8/svs4OjqCx+MhJiaG8X4sLS2hvLwcCQkJAP67V52zszPa29tRUFDA+b05OjqKK1euwMLCAgkJCfDy8mLcF/LMTwYGBnD//n3O5wCsRBbDwsIQHx+P8+fPcwpKaUpLS9HV1YXdu3evKoOCQHibIGKOQCB86ywvL+POnTss63pgZcU5MzMTlpaW0NTUZIi5/v5+uhnv6yBxgtPX10dPTw/LUVEVpqencerUKaSlpWHdunUqP05eZE6CpM7n5MmTjMldR0cHrly5olKfue7ubuTm5q66l5Q0XV1d6Orqwt27d2mXOC8vL3pyKRFfEmZmZnDu3DnW5F6V6wVWJmlpaWmcDpsSpO8Feejp6dECTjJBBVYEk2wNWWBgIOzt7XH79m16bHx8HKWlpUrT6qSZmZnB5cuXWYJr165dMDY2xmeffUZvE4lEuHXrFt5991362tTU1GBsbKww2jIzM8MQeeXl5SrXera1tdFmFspwcHCAnp4eQ4w0NTWxonPT09Ms4e7l5cVyelQEn8/H9u3bYW1tjdzcXMbCxMTEBF1H5+PjI7fB9GpwcHDAvn37cP78eaW1VxYWFti3b5/Kol6ZmLt37x4rihwREQF3d3cAQGpqKq5evcp4/P3797Ft2zZa7Esje68MDAwgKyuL0/gpNDQUqampjOiU7MKYxL3XzMwMfn5+aGxspLeVl5cjKioKmpqa9BhFUXBzc4OrqytevHiBgoICzu+bkZERXLp0CVZWVkhISICHhwcoimIJcx0dHVy/fp3RDkYWb29vpKSk0OmYZmZmDDHn4eEBkUiEtrY2xuMGBwfx2WefITU1FcHBwcQchfCDg4g5AoHwrfLq1StcunSJ02HQ1dUVu3fvpgWDg4MDKIqiJ3lCoRB9fX1wdnZ+7esYGxtDfn6+ys2L/f390d3dzZgsCYVC3L59G/39/di8ebNKEz9ZMSdJsZOeYJiamuLIkSOsOp+WlhZW2pH0BPjly5fIz8/Hs2fPVHpO27dvR3d3N5qbm1mpkdLHb29vR3t7O27fvg03Nzf4+vrC09MTDg4OjPoZ2VVyd3d3hdEToVCIyclJjI+PY2JiQuWImyz6+vrw9vaGj48P7O3tOSMpz549Y02wIyIiYGVlhdraWlZ7BD8/P5VMJkQiEa5evcpK2YuJiaHTDdevX89oo9Hf34/KykpERESo9Px4PB4MDAzoe+fp06esBtiKmJqaws2bN1FaWoqUlBS4ubnJndBSFKVSqmVBQQGjHkvSoH21UBSFiIgIWFpa4vLly4znJRAIcPnyZc4+ifr6+gpTgaWRvc/09PQUtp/Q0dHBwYMHVWqXIEH2WmZnZ+nPdVNTE6s+zcrKCikpKfTfvr6+aGhowIsXL+ix2tpaBAQEwNDQkBWBl7436+vrcevWLZZAVVNTw+bNm1nGLdPT06zvEelWLDExMQwxt7CwgMrKSs6FGYqi4OHhAXd3d7S0tKCgoIAzRVpiLGNjY4Po6GiWsOVqMyPBxsYGGzduZLV6kTXmmZ+fx7Fjx1BeXo78/HzG6yEQCHDr1i20t7cjPT2d/j+GQPghQMQcgUD4VpiZmUF9fT1nE2VgZQKRmJjImIhramrCysqKseLb3d39WmJuZmYGBQUFqKmpUblOSU9PD1u3bsXS0hKuXr3KcnWrra3FyMgI9u7dq9RlUDbNUiAQYGFhgTW5kNT5fP311wxzF64ascXFRRQVFaG8vFxl+3lzc3MEBQUhKCgIW7ZsQXt7O5qamtDS0iLXTEYkEqG1tRWtra1QU1NTeq7Y2FgsLy9jcnISExMT9GT65cuXGB8fx6tXr9ZcK2ZoaEgLODs7O6Wr7bI1RA4ODrTQ3Lx5M06cOEFfy/LyMu7du4f9+/crvY4HDx6wUsKcnZ0ZtZ1xcXF49uwZYwL94MEDeHl5Kb1fZKmurmZEElfDyMgIzp8/D0dHR6SkpMhNEVaWajk6OspwHwVWGrMray2gCCcnJ3zwwQecCz0lJSWs/WUXCSSCTfo+k/xMTk6u6j6bm5tDUVERgoKCYGtrq1IkR1bMiUQizM3N0SJCGj6fjz179jAWfyiKwpYtW/Dxxx8zPn+3bt3Cpk2bGI/X1NSElpYWhEIh8vLyWIZDwMr3TGZmJmddr+z9qqmpyUj7tbS0hJeXF8OopbS0FOHh4XKjuxRFwcvLC56enmhubkZBQQFGR0dZ+w0MDODKlSucx5DF0NAQycnJ8PPz43wPZFN/JeeLjIyEk5MTrl69yvq+lNTauri44PDhwypdB4HwfYeIOQKB8I2ztLSE//iP/+Dcxufz6VQqLhwdHVlibq3X8OTJEzx58kRuzYyxsTFcXV1RVVXFGI+NjQWfzwefz8ehQ4c4G/D29/fj888/x969e1kNx6XhavQ7PT3NuVIsXecjr0m5SCTCf/7nf8pNuTMzM8PGjRtRUlLCeO1cXFzo39XV1eHp6QlPT08IBAK0tbWhsbERra2tcs+rimi8du3aawk2LqKjo+Hj4wMbGxuV06X6+vpYabTSUTEbGxuEhoYy0jBbW1vR0tKi0MyjubmZlfppYGCA3bt3MxYl1NXVsXXrVpw6dYoeEwgEuHPnDmcdpDzKyspYBhpc7N69G8bGxsjPz+esPeru7saXX34Jb29vJCUlsSbFylItHz58yHhP1dXV6Zqq10G6jo4rBVv2Ody9e3fNgk0Z1dXVqK6uptssBAQEKIwEctngT01N4e7du6yo9+bNmznrtyTiRbrP5sTEBG7evMnYz9jYmK6P4/o+dHBwwN69e+Ver7x6OWliY2MZYm5ubg41NTWIjIzkPKYESWTX29sbTU1NKCwsVNmkSIKGhgZiY2MRERGhMKVedvFgYWEBs7Oz0NPTg5WVFT744APk5uayel4CK2nrv/3tb/E//+f/VLn5OoHwfWV1HR4JBAJhlfT39+Nf/uVfOLcZGhrivffekyvkALCEUV9fn1yBwYXE3vrPf/4zCgsLOYWcjo4O0tLS8LOf/YyVImRgYMBIU+LxeNi4cSN2797NmmjMzc3h9OnTKC0tlTuxVFdXZxmKKGpw7ujoiH379il0Y+MSctra2khLS8NHH30ER0dH9Pb2MrZLizlp+Hw+vL29sXfvXvzv//2/sXv3bnh5ea3JDe5NT7B1dXUREhKicrREgmxUzsDAAF5eXoyxpKQk1oQ8JydHrvAfHx/HjRs3GGM8Hg979+7lnNg7Ojqy0t1evHiBpqYmpdcvFotRWFjIKeTk9YGztbXFkSNHcODAAbmNqJubm/Hxxx/j9u3bjDRRiqJY/d4kqbs9PT0sa/3IyMg3NiFWV1fHtm3blNYsLi4uorKyEu3t7Xj58uU35gY6NjaG+/fv4/e//z0uXLiA5uZmzoUMNTU11uf69u3brNRjf39/BAYGyj1faGgoK2Iqm1I7NzeHL774glPIhYeH48iRIwqFp7x6OWlsbGzg5ubGGHvy5InK372SSF1qaiortVzRY0JDQ/FXf/VXiImJUVobbWhoyEptl44G8vl8pKenIzMzU25a5e9///s34m5MIHyXkMgcgUD4xnj16hVOnDghd/vCwgI6OjpgZGQkN33HwcGB8ffy8jL6+/tZ9ROyqGJvra6ujqioKKxfvx6amppob29niZ7Y2FjOWjg/Pz9YWFjg4sWLDKc5sViMvLw8DAwMYOvWrZzPy8DAgDFBk9dgWIKrqyv27NmDS5cuKZ208ng8hIeHIy4ujp7AdHZ2Msw5KIpS+voBKyvkfn5+8PPzw8LCAlpaWtDU1IT29vbXcleURUdHByYmJjAxMYGuri4r6ilhdnYWX3/9Nd555x1WTyp5TE9Ps2oIw8LCWJEILS0tbNiwgSHQXr16heLiYlYtmKQnmmw6ampqqkJ30w0bNqC1tZUR8bp37x5cXV3lTjbFYjHy8/M5zV/i4uKQkJCATz/9lPOxFEXB3d0drq6uePr0KR49esSqFROLxaiurkZDQwMiIyPpz4Kvry8jUilJtZRNk9bW1pbbEF4VBAIBRkdHMTw8jOHhYYyMjGB4eHhVNYGqIn2fmZiYoKSkRGVnS7FYTKcY6+joICAgAEFBQYz0RD09PcZ1y6aLGhsbY8uWLQoXIng8HrZu3cowzZGFa/FHTU0N6enpCAoKUvg8lNXLSRMXF8cwE5menkZtbS3CwsI49xeLxRgeHkZHRwc6OjrQ3d29qoW35OTkVd1LPB4PZmZmDDOVsbExVhq+l5cXbGxs8Ic//IHzOJcvX0ZGRsaqaiQJhO8TRMwRCIRvhM7OTqW1EYuLi8jNzUVRURHCw8MRHh7OaYNvaWnJiJh1d3crFCO9vb24f/8+S5hJoCgKQUFBSEhIoFeNxWIxHj16xNjP0NAQwcHBcs9jYWGBDz74ANeuXWMYFwBAY2MjRkdHkZGRwRIe+vr6jAmIosicBA8PD1b9oCyenp7YsGEDK4VLtveZnZ0dw5lOFbS0tBAYGIjAwEA0NTWpXPciQVdXlzGRlv6RnkR1dXXJFXPAyoTy9OnTeOedd1RqQ1FZWcmYFKurq8t1Hw0ICEBtbS0jclFSUoKAgAA6FVEsFuP27dusFgoBAQEIDQ1VeC1aWlpIS0vD5cuX6bHZ2Vnk5eVh+/btrP3FYjHu3r3LSvsFgJSUFLkTX1nBz+PxEBgYSAu04uJiVjRCIBCguLgY1dXViI2Nxbp161ipltevX2cJlLi4OJUmwWKxGFNTU7Rok/yMj4+/0aiatrY2TE1NOe8zWcEsu3iTkpICPz8/1NfXo66ujtUOQMLc3BzKyspQVlYGGxsbBAUFwc/PD3p6enJba/B4POzevVulz52FhQViY2NRWFio0nM2MDBAZmYmbGxslO4rm2KppaXFEKTS2Nvbw9nZmVEjXFJSgpCQEDpSPzU1RYu3jo4OlR1WucjPzwdFUYiKilI58i4r5rjq9ICV10j2uUjo7OzEyZMncfDgQZWjiATC94kfhJjr6enBn//8Z9y5cwc9PT3Q1NSEm5sbMjIy8NOf/pQ1OVSVgoICuQ2K5REfH4+CggLWuJOTk0q1Po6OjnL7qxAIbwNisRjl5eXIy8tTeZI2Pz+PwsJCeqIQFRXFmKg7OjqyxBwX4+PjePDgAZqbm+Wey93dHSkpKazUs7a2NlZdVVxcnNL0Qi0tLezfvx+FhYWsydfw8DC++OIL7Nq1i7YgB9h1c8rEXG9vL+7cucPpEifh8OHDclMnZScw8vZThiTlTFmvNgm+vr5Yv349jI2NVV71ln0PjI2Noa2tzRARr169oiN0igxElpeXWfUyAQEBcqNgFEVh8+bNrFYCOTk5OHToECiKQmVlJavhsoWFBdLT01WagHp7e8PT05PholpXV4eAgABGREEkEiE7O5vVgw1YqbmSFx1RhCQSHRwcjJKSEpSVlbEiJ3Nzc8jNzUV5eTlrm6yQMzIy4hSwS0tLdIRN+keeY+rrEBcXBzMzM7mCTR5isZg18Tc3N4ehoSHi4uIQGxuL7u5u1NXV4dmzZ3IjeAMDAxgYGEBubq7COtLk5GTajEQsFkMkEmFpaQkCgQACgYD1u6rGOI6OjnJTe7lQpV5OmtjYWMb3x6tXr/CnP/0J3t7e6OjoWHU9HJ/PVxgNvX//PkZHR5Genq5Sardsvae86+nu7uYUchJGRkbw5Zdf4uDBg3LTkgmE7ytvvZi7c+cODh48yEgdmZubQ2VlJSorK3HixAm6T9K3gaJieQLhh47EuU12sqsqy8vLqKioQGVlJfz8/LB+/XpYWlrCycmJ4djW29sLoVBI/2c/OzuLwsJCVFdXy01Nsra2xoYNGzidMLmicsbGxgprW6ShKAoJCQmwtrbG9evXGZPWhYUFnD9/HomJiYiNjQVFUZztCbiYn59Hfn4+y9acC3nPe2ZmhiUCV/t9KBHbslEuZbS2tqocuZEgKxhcXFyQnJyM06dPM1bgJycn6QidvHotLgt/Ze0ALCwsEBkZyUhr7OjoQFNTEwwNDVl1a5qamsjIyFC596FEMHZ2drJcC3/yk5+Az+dDKBTi6tWrrEUJiqKwbds2Viqdqo3kJWhpaSE5ORlhYWEoLCxEbW0t6zGTk5NKn0tiYiKmp6cxPDyMoaEhWsCttcWELMom/sBKTay/v/+qjz07O4uFhQXGmHTtIUVRcHJygpOTE9LS0tDU1IS6ujq50X5lhkBVVVUoLS2lxdqbiEZGRERgw4YNq6pn5RJzinBycoKFhQUj4jg9Pc3poCkPGxsbuLi4wNXVFXZ2dmhsbGSZukhTV1eHiYkJZGZmKl2Ml60XlSfmuBbZNTU1Gd/VU1NT+Oqrr5CZmflG2t8QCN8Wb7WYq6+vR0ZGBubm5qCnp4e//du/RWJiIubn53Hx4kV88cUXaGlpwZYtW1BZWalyTxoJYWFhKk1Kf/7zn9Mr8kePHlW47/bt2/GP//iPcrer0tSVQPg+Mjk5iaysLFYzWGAlRXDnzp24cuUKK+WPC7FYjKdPn+Lp06dwc3NjGUcIBAIMDAzA0tISZWVlKCkpkWunb2RkhOTkZPj6+sqNnLS0tLDSF1WJysni6emJ999/H1lZWaxV/0ePHmFgYAA7duxQ2jhcLBajvr4e9+/fV7l26N69e/jJT37CumbZ1WgNDQ1Ou3IuJOYxhYWFazIJEAgEyMrKwnvvvadyxEQ2MmdrawttbW0cPnwYX3/9NWNSOTExgdOnT+Po0aOs73dJhFgaZ2dnlVbd4+Pj0djYyHhfrl+/DnV1dZaY3bFjB6czoSIMDAxYroUvX75EYWEh4uPjcenSJVbjY0maniKzoNViYGCArVu3IjIyEg8fPmQZmyjj9u3bKtecKcPY2BhWVlawsLCApaUlLC0toaWlhT/96U9yP9vAStqftbU1fH19V3U+2c+nurq63GiYpqYmQkJCEBISgvHxcdTV1aG+vl5pras08lI2X4fo6OhVfUdNTU2xhLYi511gZXF8tamTRkZGtHhzdnZmffZVyZbq6enBF198gQMHDihseSG7bXp6GgsLC4wFpM7OTpaITUtLg7u7O86dO8eoIVxcXMTZs2exY8eONS0SEAjfBW+1mPvFL36Bubk5qKurIy8vD1FRUfS2pKQkuLu745e//CWeP3+O3//+9/j1r3+9quPr6urCz89P4T6Tk5MoKysDALi5uSE6Olrh/kZGRkqPSSC8bXR0dODKlSucE/74+HjEx8eDoihs3LgRn376KWNV2traGubm5mhsbOSM+rS1tbEmtsDK5FogELAaQUvQ1tZGXFwcQkNDFTbzFovFrFVbU1NTBAQEyH2MIkxNTfHee+/h5s2bLOONlpYWnDhxgpWaJj0pHB0dxZ07d+SmklpaWmLLli0YGxtDdnY2PT4+Po6ysjJWHVVHRwfjbycnJ5UmgC9evEBeXp7clW5dXV0kJSWhoqJCYfrnxMQErl27hv379ytM5wJWoiWyBh2SOiAdHR0cOXIEX3/9NWMiPjY2Rgs66VSznp4e1nWp2qRbQ0MDmzZtYtS2SdLipFm/fj3LFVNVJIuF0m6HJSUlqK6uZkWM1NXVkZGRwUjVlWY1zp5cmJubIzMzE729vcjPz2c0glfEWoScpKeZ9I+FhQXnQmZRURHjNacoCtu3b0d2djbju+LmzZswMzOTW/vFhex9bWZmpvT+BFY+38nJyUhMTER7ezudhvld8Je//AVJSUmchj5cyH6nKKqXEwqFqKioQGFhodL0WC0tLTg7O8PFxQUuLi5KzYlkU0LV1NSwe/du+jtdwuTkJL788kvs3r1b7r1vYmICiqIY/6eMjY3RRkRc3+8Sh2J1dXW8++67uHjxIiPiKhKJcO3aNUxNTSE6Ovq1P18EwjfNWyvmKisr6Q/o8ePHGUJOwv/6X/8LJ0+eRHNzM/74xz/ib//2b1VOhVGVrKws+ouONKAk/NgQi8UoLS1Ffn4+K21IQ0MDu3btYqQeW1hYICQkhFHHNDg4iPT0dCQlJaG0tBQ1NTUqTRLlrXSrqakhMjISMTExKqX3NTc3syb98fHxKk2O5KGhoYE9e/bgyZMnePDgAeO1GR8fZ6Xqzc3NYX5+HiUlJSgtLeUUtXw+H4mJiYiIiACPx4OdnR2qq6sZkayioiL4+/szTF1kxZyy9KGRkRHk5eXJjaBKXt/Y2FjweDxWA+tDhw7h4cOHjHTJtrY2FBQUsFwhZZGNyvH5fMbKu66uLh2hk15NHx0dxZkzZ3D06FE6CiAblTM2NoaHh4fC80vj4eEBLS0tlrCSpqenB2fOnAGPx4OamhrjR3aMax8bGxuWdb3s+fh8Pvbv37+qtK+1pvDZ29vjnXfeQWtrKx48eCDXTEIVKIqCqakpLdYkws3Q0FClybFAIGC9h76+vggMDMTS0hLu3r3L2DcrKwvvv/++yhFg2ecmW3ulDB6PB3d3d6irq+P58+ev7e5KURQ0NDTofpaqRPKWlpZw79491NfXIz09XakBiir1chLXzry8PJXTZf39/bFp0yaVo4SykTmhUAgXFxccO3YMFy9eZETEFxcXceHCBWzcuBERERGse0dNTQ0mJias7wOJmOvs7GQtTkg7FOvo6ODw4cO4du0aKzKdn5+PV69eITU19bX+PyAQvmneWjEnbR997Ngxzn14PB6OHDmCv/3bv8XLly9RUFCADRs2vNHrOH36NICVL2Ii5gg/JpaWlnDr1i00NjaytpmZmSEzM5NzgpSQkICnT58yVtzz8vJw9OhRpKamIi4uDhUVFaioqFh1ap+9vT127dqlksshwL1qa2ZmtuqULS4oisL69ethbW0tN2opzb/927/J3ebt7Y1NmzYx0sAoikJaWhqj9cPS0hLy8/Oxa9cuACtRMdkUTnn1cnNzc3j06BGqq6vligEfHx+kpKTA2NgYwErtovS+FEXB3t4eGRkZ+OKLLxjpWcXFxbC2tmb1L5NGtl7O2tqaNYnS19fHkSNHcOrUKcaEd3h4GGfOnMGRI0ewsLDAmpiFh4fLFRFisRjj4+Po7+9HX18fBgYGMDQ0pHSCLq9+6k2hpaWFgwcPKmx38KahKAoeHh6Ynp7GnTt3VHqMxHFW+sfc3Py1Fk/r6upYKcaSqHNoaCgGBwdRW1tLb3v58iWuXr2KAwcOqDTxlo3MKUrl40IkEqGoqEip42RAQABcXV3B5/MZYk32dx6PR9+fIyMjOHHihMqRz8HBQZw4cQLh4eFITEyU65iprF5uZGQEubm5rAUgZVRWVmJgYAB79uxR6buXy6xldnYW1tbWeO+995CVlcVY2BGLxcjNzcXo6Cg2b97MEo3m5uYMMSd5b7m+37kcivl8Pvbu3Yvc3FxWLWBlZSWmpqY4+4oSCN8X3loxV1xcDGDlS0GezTSwssIu4fHjx29UzLW3t9NF8rGxsaRglvCj4Xe/+53ciIWnpyd27twpd0Khp6eH2NhYPHjwgB7r7u5GS0sLvLy8oKOjg4SEBERHR6O2thalpaWs1Dt59Pb24tNPP4WVlRWsra3pH1NTU84JXlNTE2uFPiEh4Y2uwrq4uOCDDz7ApUuXFLYV4MLIyAhpaWlyI0q2trYIDg5mTGqfPn2KdevWwdHRkTUp09PTY01aVUmnsra2xqZNm1iTP9mokrm5OTQ0NKChoYG9e/fi9OnTDEF048YNmJmZyZ04y0bm5EUaDAwMcPToUZw8eZJxbwwODuLs2bOwsrJiiEwNDQ2Gacj09DT6+/vpn4GBgW/EafF1OXr0KKysrJTut1oDFEXMzMwgOzub1WpDEb6+vkhOTn5jfbpEIhGrr56rqyv9WkhMZEZGRhj3THt7Ox4+fIiUlBSl53idyNzMzAyuXbum0B1Rgp2d3apStufn55GVlbXqFFZJjWhzczPS0tJY6b+K6uVUWchRRn9/Pz777DPs3LlTaQScz+dDXV2d4ZY6NzcHExMT6Ovr4+jRo8jOzmYtFNbU1GBiYgJ79+5lRPdk3zvJeyuvbyhXBJHH4yE1NRWGhoa4f/8+Y1tLSwv++Z//Gfv374etra3KzqEEwrfFWyvmJC5fbm5uCuthpL/QFNmVrwVJVA5QbnwioaioCAEBAWhvb4dYLIalpSXCw8Oxf/9+bN++fc252bKTKllWO4kkELgQCAT453/+Z7nbExISEBcXp/Q+joyMRFVVFWMifv/+fbi7u9P/0WpoaCAiIgKhoaFoamrC9evXVbrGxcVFdHd3M+pD+Hw+LC0tWQLv4cOHjMdaWFjQBhNisRhCoRCLi4tYWlrC0tIS43fZvxcXFyEQCOTus9omyDExMYiLi1O6GpycnIzm5maGuM7JycEHH3zAEnMuLi70eyNpqn7//n256VT6+vpISkpCYGAg53sqG0mTNlZxdHTExo0bce/ePXpsaWkJFy9exPvvv8+a+IvFYoXHk8XQ0BBHjx7FqVOnGNFHiUCTxsjICFVVVfS21RhXfJdUV1dj8+bN31rNzrNnz3D79u1VR8SrqqrQ3NyMjRs3wt/f/7Wvt6mpieWmKVsLKqkj/OKLLxh1syUlJbCyslJYmz4/P8+qtVU1MtfZ2Ylr165x1uq6ublBLBYzUpQV1ZPKIqnVkv08BgYGYmZmhnFcAwMDaGhosCKMU1NTyMrKgqenJ9LS0uhoPle9nLm5OcrKylBYWCh3cc7W1hapqalobW2lF9ElqKmpMVw8FxYWcOHCBURHRyMpKUlu2iVFUdDR0WF8bqWj+Hw+H7t27YKZmRkrstbV1YUTJ07gwIEDtIjjcrTkisoZGRkpbKpOURSio6NhYGCAGzdusBxKL1y4AAD4zW9+I/cYBMJ3wVsp5hYWFugvMGXpJ8bGxtDV1cXs7OwbT4k5e/YsgJUUkz179qj0GNmVvK6uLnR1deHSpUtYv349srKyVHaak8be3n7VjyEQVovsiqU0O3bsUNnKX11dHSkpKbh69So9NjExgcrKSkRGRjL2VVNTQ0BAAPh8Pi5durSm6xYIBOjr61O66DEyMoI//vGPtAh7k82MV0t7ezuWl5fh5OQEBwcHubVAurq6SEhIYIim4eFhVFZWsr5vJNkDQ0NDyM3NldvTUl1dHdHR0Vi/fr1Ch10u50lpwsPDMTg4yOiVJm2IIj3pn5ycZAleZd+FxsbGdMqlPCMcYOV9lY4EvylSU1Np0S/9IxKJFP4tGZO02JBHVVUVFhcXsX379lU7q66GhYUFuvZKFczMzFgiYnZ2FtevX0dtbS02b9686rRFCWKxGCUlJYwxW1tbTtdFAwMD7N27F19//TUjApydnQ0zMzO5UU3Za+fxeEpNOxSlVVIUhaSkJKxfvx5PnjxZs5h79OgRy+zJxsYG6enpqK2tZRx3cXERP/vZz1BWVoaioiLWfdTS0oKOjg66zlb2s764uIhPP/2UkZ4ojb6+PlJSUmhxLisG3dzckJycjMuXL7PE55MnT9Db24s9e/bIbcKtq6srV8wBK69pfHw8zM3Ncf36dUYU7+XLlzhx4gT27t0LV1dXVmTu5cuXaG5uXlPfULFYDENDQ1hZWbEeL6GiogLh4eEKj0MgfJu8lWJOelVVlXYDEjGn6D/71VJcXEyveu/cuVPuF5YEDQ0NbNu2DRs3boSfnx8MDQ0xOTmJ0tJSfPLJJ+jt7UVJSQk2bNiA0tJSlRuGEgjfFh0dHaisrJS7PTc3FwKBACEhISqlKfr6+qK8vJwhsAoLCxEYGKiyicHevXsxODiIoaEhDAwMrDr6xYWyBt7fFoODgxgcHKTdcq2srODo6EiLO+k0o7CwMNTU1DBs+6XFnQRLS0tkZ2cz0jJl8ff3R3JystLvoLm5OZZJg6z4oigKW7ZswcjICCM74MWLFygoKEBiYiI9JhuV09bWVqn+xtTUFEeOHMHHH3+sdF9l6Ovrw9bWFra2trCxsUF2drbCFF+RSMRpvqUKc3Nz+Pzzz5WmEEvqS/fs2SM3C+V10iw7Oztx48YNzvteV1cX+vr6jHYjnp6e2Lt3L0pLS1FYWMhqLN7V1YVPP/0UUVFRiIuLW3W7nfb2dpYAWr9+vdxon4ODA9LS0hj1fdKGKFw2+LIpliYmJgon+YrSKvX19bFnzx44ODgAAMsdcnh4GGKxWGm08tmzZ3j8+DFjTFdXFxkZGVBXV4enpyfD9GVxcRG9vb2Ii4uDn58f7ty5w4rECwQC5OXloaGhgdUyRlInKou8hRzZ93FxcRFWVlb44IMPkJ2dzXL07O3tpdMu3dzcWOeRfV/kfXf7+PjAyMgIFy9eZMz9FhcXce7cOaSmpnJG26QXCgHFfUOFQiG6urrw/PlzPH/+XOlcMScnB4aGhqSvMOF7w1sp5qTTAVT5j0JSu7OWPknyOHPmDP37kSNHlO5fUVHBOTFJSEjAz3/+c+zZswd5eXlobm7Gb3/7W/z+979f1fUoizoODg6SlSTCmnnx4gWysrIU7jM/P487d+6gpqYGaWlpSqPFFEVh06ZN+PLLL+mxhYUFFBQUIC0tjbW/7KTXwcEBPj4+jLTI6elpWgQNDQ1hcHDweyPOXpehoSEMDQ3RDn8WFhZwcnKCo6MjHB0dkZaWhq+//lrhMU6dOiW3Z5ednR02bdqkstkGl/MkVw83Pp+PzMxMfP7554wJW1FREaysrGhDFK4on7IJ8OLiIp4+fYqqqiqVrlkaTU1N2NjYMMSb9KJcT0+PUqH18OFDeHh4rLrPnFgsxvXr11WuBW1pacH58+exb9++N9aLVCAQ4MGDByzHSAne3t5IT09HXl4eQwgYGBhATU0NMTEx8PPzw71799DS0sJ4rEgkQklJCRobG5Gamrqq9g2yUTlTU1Olk2aJIUpNTQ09Njk5iatXr+LgwYOsxaXVmJ8oS6vcuXMnQ5jIijmBQICXL18qjPyNjIwwTN2AlWjh3r176UUVAwMD2NraMj4nz58/h6urK0xMTHDo0CE0NjYiNzeXFeXi6v3JhZ+fH1JSUjgXcmRroCXfI5qamtizZw8qKyuRm5vLiJDOzc3h3LlziI2NZdUiy9adKeplZ2Njg/feew8XL15kLAqJxWLk5ORgdHQU+vr6DLEna14k61AsEAjQ3t6O58+fo6WlRaFrLRdZWVnYvHkzq80MgfBd8FaKOelaC0XNRCVICttVXe1X5XiS/kM2NjYqFVsrWmHW19fHpUuX4OrqivHxcXz++ef413/911X9p/1tup0Rfly0tLTg8uXLCtPBpBkcHMRXX32FwMBApKSkKIye29nZwc/Pj1HoXlVVhbCwMFbqjGwNjeyEg6IoGBgYwMDAgDH5m52dxeDgIOrq6tDU1KTSc5CHhoYGNDU1aZMP6d/ljS0vLyMnJ4cVwXhdRkZGMDIyQruvqZLWxvV9aWBggJSUFPj5+a2q1klWfHE5T0owNDSkDVGko0bShiiykTlFNuuSNFJZV1R58Hg8WFlZ0cLN1tYWpqamCp+vdPsMYGVlf9u2bQzBvLy8jJs3b+Kdd95ZlWlOUVERZ+9ERXR2duL06dM4ePAg6/+y1UbmBgcHcf36dc7WA5qamkhLS0NAQAAoimIthkh/7oyMjLBv3z60tLQgJyeHJU5fvXqFrKwseHh4IDU1lXZBlUd/fz8rHTA6Olql1zYtLQ0jIyOMSH9HRwcePHjAMj5TxfxEJBKhuLgYhYWFrNdTOq1S9rXX09ODjo4OY+FieHhYrpibn5/HxYsXWYYnXIZDnp6ejM9dS0sLXVNJURT8/f3h5uaG/Px8hrBVho2NDVJTUxUuwHFF5iRQFIXw8HDY2dnh8uXLrO/q4uJi9PT0YPfu3dDX1wegemROgoGBAY4dO4YbN26wooDKFnNMTU3h7++PhYUFtLa24vnz52hra3uthvdisRh37tzBq1evkJSURHrREb5T3koxJ/kyAKBS6qRkxUeVlExVuHnzJv1ldfDgwTdSy2BoaIh9+/bhL3/5C2ZnZ1FVVaW0ATmB8E3z7NkzXL16dU09lOrr6/H8+XPEx8cjPDxc7udEYuAhEYsikQj5+fnYt28fYz/ZiaKqqcg6OjoYHx9nWdVzERoaCg8PD05RxufzV/0fdkdHB6veQxkODg5ITExEd3c3urq60NfXp9LjV9sTjM/nIyYmBlFRUWuy3FZWLyeLk5MTNm3axDJEycrKwvHjx5WanywvL6OpqQlVVVVKax9l+dWvfrWq5zg3N8cS/uvWrYOTkxPCw8MZ9uW9vb2oqKhg1XrKo729nWXMoKuri6WlJcbkMiIiAnV1dYxJc39/P06dOoXDhw+v6f8zkUiEx48fo7CwkPMz7eTkhB07djA+W6p87jw9PeHi4oKioiI8efKEdezW1lZ0dHQgLi4OUVFRctNFZaNyenp6KjtBSgxRPv/8c8a84MmTJ7C2tmYYoiiLzK0mrVIWiqJgaWnJeOzw8DBnSw6J4YlsunJQUBDCwsJY+3t5eTFMmySZCNILH9ra2ti6dSsCAwNx+/Zthd8Lenp6SElJoYW7ImTFHNciio2NDT744APcvHmTFa3t7u7GZ599ht27d8PZ2ZkVmVMlRZ7P52PPnj0oLCxU2hJCGj09PVy4cAEdHR0q/19mZmYGb29v8Hg8hed6/PgxpqamsG3btm+0rpVAUMRbKea0tLToAmxl/6m/fPmSFnNvyiRE2sVSlRRLVZGkiwHsiRKB8G3T2NiIa9eusValAwIC0NLSwphkhoWFoaurizVxWFxcRF5eHmpra5GWlsbZvsPIyAiRkZGMiVxLSws6OzsZ+69FzM3NzeHmzZtobW1lbZO1xgZWon/u7u5Kj6sMoVCIgoICVg2MKvT09EAoFCI+Ph7x8fFYXl7GwMAAurq60N3djZ6enteO8gUGBiI5OZmxMLYaxGLxqsUcwG2IIslGkF0ll0xQx8fHUV1djbq6OqWp8kZGRrCysmIJ956eHri6uiq9Pgm1tbWMSLSamhrdmyo5ORkvXrxgTMAfPHgADw8PpSYar169wrVr1xhjFEVhz549ePDgAeP/MzMzMxw9ehRnz55lTHRHRkZw8uRJHD58WOV+isDK63jjxg3O/zPV1NSQkpLCasosFotZkTl59eF8Ph/JyckICAjA3bt3WRG25eVlPHz4EPX19di8eTOr3+HY2BjLcToyMlKhW7Us+vr6yMjIwKlTpxiT9ps3b9KGKEtLS6zIkbSYW21aJRcWFhYMMSddyyqNPMOTLVu2cIorMzMzmJiYMAxHnj9/zhnFdnBwwIcffoh79+7JjVz9j//xP1TOAJKXZimLtrY2MjMzUVZWhvz8fMb7MDs7i9OnTyMhIYG1GKEozVIaiqKQkJAAMzMzTsdJLmTNW+RhY2MDLy8veHt709FaVVzQGxoaMD09jYyMjDfWnoNAWA1vbUt7ySpXW1ubwomN9H/qiprVqoqkqSYAhISEKLQ/Xi3fpXMegSBNfX09p5ALDg7G9u3bWZMHbW1tfPjhh9i4cSPn5GB0dBSnT5/GlStXOOuEYmNjWROkvLw8xkRAdgKmbCLb2dmJTz/9lFPIWVtb46OPPsLmzZsZ421tbatyn+NicnISp06d4hRyenp6LBFqbW3NElUPHjygX3t1dXU4ODggLi4Ohw8fxq9+9Su8++67SEpKopsRr5b29nY8ePAAjY2Na6olnpycZD1OFTEnMUSxtrZmHU8aPT099PT04MyZM/iv//ovlJaWyr1OiqLg6emJgwcP4q/+6q+QmZnJcjFUZPgii1gsZqVY+vr60venxMxKGkm6paLvcKFQiCtXrrAiEElJSXBycuJMO7O2tsY777zDuj8mJiZw8uRJOsKkKM1SLBajsrISn332GaeQs7a2xocffojIyEjWcebn51n/vypbRDE3N8eRI0ewa9cuzn5c4+PjOHPmDK5evcqocZLtK6epqbmmeiR7e3vW53p5eRlZWVmYm5vjNP0wNTWFSCRCYWEhzpw5wxJyFEUhOTkZBw4cUCrkALDuP67vFHmGJ5mZmQqNbmTrDxVlHKipqSn8fpDt46YI2e/15eVluVEuiqIQFRWFY8eOcYr/goIC3L59mzG2WvMqT09PpKenr+oxXNfp6OiI1NRU/OIXv8D777+P2NhYRtqt7HM0NzdHeno667PS2dnJapNCIHxbvJWROWClB1NxcTFmZ2dRXV2NiIgIzv2kw+OyfWrWwvnz5+n/3N5kVA4AIw9cUb0IgfBNUlNTg1u3brHGQ0ND6foMKysrxsrz0NAQ1NTUEBUVBX9/f+Tn53PanDc1NaG1tRWxsbGMdCtNTU0kJiYyHOmGhoZQX1+P4OBgLC0tsSbz8iaVQqEQhYWFrJ5IEqKiopCcnAw1NTUYGBigoKCAMZF48uQJdu7cqeAVkk9TUxNu3brF2YDazc0N27ZtwyeffMIY9/f3h6amJuM1HxwcRFNTE+dikZqaGuzt7WFvb4/Y2FgIhUIMDg7SkTtVarFmZmZQX1+P+vp6UBQFOzs7uLm5wc3NDdbW1kpTrmRFgY6Ojsppr/IMUWSvT1KXLA89PT2EhIQgJCSEde7g4GDk5OTQfz9//hxzc3MqTcQ7OjpYaW/r1q1j/O3k5ISwsDCGu2tPTw8qKirk/l+Ul5fHet08PT3p/5dkr00SqTA3N8e7776L06dPM65ramoKJ0+exKFDh+Q+l+npaWRnZ3PeExRFISYmBvHx8XLTw2QXXiiKUimaK6nfcnd3x6NHj1BZWckSuo2NjXjx4gUSExPh5eWFhoYGxvbQ0FBWNEhV1q1bh8HBQYYon5ycxJUrV1hpm8bGxlhcXFSYVrl7925W/ZoiZE1QJiYmsLS0RAui4eFhuYYnypyxvby8GMJ3dHQUExMTnFFhgUCgcCHj7t27sLKyUmm+wfVeLC4uKvQisPv/2Pvv4CjSNFscPlUl770XEvICWWSRAQkhQKgFAuE9dE/TMzuxc9fFvbEb9+7G/PbG3I2YmR3TM9NA470wwhshAwIkIQTIgAxCyBvkvS3z/aEvc+vNN6sqS9Az3bN1IiqkSpWysrLSPOcx57i54eDBg7h27ZpGE3puZU6hULCKuQMDAxgcHCQe8/WKlEgk8PLyQkBAAPz9/TUagHPJnFgsRkREBMzNzXH58mWio+DDhw84evQodu7cySsGpYMO3xV+sGQuMzMTv/jFLwAAx48f572ByuVytiXSysqKkMGeL5j16enpYceOHR+9PgbMoDgwd1PXKSTp8JfA8+fPCflrBjExMVi9ejUb5HMzz8oKY2ZmZsjMzERERATu3LlDKanNzs6ioKAAFRUVWLNmDdvWuGTJEpSVlRGtmgUFBVi8eDFvNY+PPDAKdnwVCFNTU2RmZhIy2fr6+oiOjiZmmKqrq5GcnKxVC9vs7Czu3bvHKzogFouRkpKCpUuXorm5mSKlgYGBsLCwQElJCTHLU1BQgMDAQI1zGBKJBG5ubnBzc0N0dDR+//vfa2XDolAo0NbWhra2NhQWFsLU1BTe3t7w8fGBt7c3LwHitli6ublpNU9obm6O1NRUXL9+XfD/MPDy8kJERAT8/f1V7pvg4GDk5uayLVgymQzV1dUqiZYyuC1pDg4OvC36K1euRENDA1FVzM/Ph6+vLxVYv379mpizA+ZIRGZmJrvfuPtZ+TixsrLC/v37cebMGaJlb2JiAidPnuRNHrx58wa3b9/mrWja2Nhgw4YNGoWzuOedmZmZVkIvRkZGSEtLQ1hYGG7fvk0dN9PT07h37x5loyGRSATPIKoCI4iirPTc1NREEbaxsTEcOnRIZVtlZmamxoCfC3t7e4hEIoLA9vT0wM3NDZOTk7h48aIgwRM+uLq6snZLDOrq6nhn7KuqqtSqNMpkMmRnZ+PLL7/UmOjg67iYmZnRKCxnYmKC7du3o7i4mOg44EIqlSInJwczMzMsYRMibiQE+vr68PPzQ0BAAHx9fbVKEvCROQDw8/PDvn37cO7cOeK7GBkZwbFjx7B161besQIddPgu8INts4yOjkZiYiIA4OjRoygpKaFe86tf/Yrtd/7Zz35GtRucOHGCVYH6t3/7N43v+ebNGzbLlZaWJtgU9d69e2pbmZhea6b94/PPP593RlIHHeaL0tJSXiIXFxdHEDmAJnOjo6NUZtXd3R0/+tGPkJ6eznvDHxgYwLlz53D+/HkMDAxALBZj1apVxGvGxsbw9OlTqg3PxMSECi7evHmDb775hpfIeXl54auvvuL1O4qKiiKuDQqFgvV2E4Kenh4cOXKEl8hZW1vj888/R1xcHEQiEdUS5eTkBCsrK5bwKWNwcJBq99OEJ0+eqCVymtQEgbkMeVVVFa5evYpf/vKXOHr0KB49eoSOjg42EBOiPDkzM4MPHz6gtrYWxcXFuH37Ns6cOYPf//73+L//9/9qReSMjY2xdOlS/PSnP8Xu3buxaNEitSTX2NiYaquvqKjQ+D4jIyOUcENkZCQvUeVrt5ydncWNGzeIgLW3txc3btwgXseIdSjP12hS9zM3N8e+ffuodlY+Infr1i1cvnyZ974TGRmJgwcPClJAVqdkqQ2cnZ1x4MABpKenC5opkslkKC4uxpMnT/Dy5UvU1dWhra0N/f39mJycFDSSIJFIsHnzZo2VxNnZWbVtldoSOWDu++XaVXz48AFyuRxXrlwRLHjCB7FYDD8/P2IZ95gF5q5jXNsJHx8fKqExPDwsSOSKj8zxHXt8EIlEiI+Px969e9V+H1VVVairq8OHDx8+GZED5uK1TZs2ISgoSOvYShWZA+aue59//jn1XU9PT+PUqVP49a9/rRuf0eHPgh9sZQ4Afvvb3yI+Ph6Tk5NYtWoV/vmf/xnJycms1O/hw4cBzGVQ/uEf/uGj309Zknrv3r2C/+///b//h507d2Ljxo1ISEiAt7c3zMzMKNNwYK7tRgix1EGHT4ni4mI8ePCAWp6YmIjk5GQqmLWzs6MERLq7uymRCbFYjMjISCxatAgFBQW85OTt27dobGxEfHw8EhIS4OPjQ7SFFRcXU8bMykHlzMwM7t27x9tOJBaLsWLFCpZM8cHExATh4eFE5eTly5dYvny52qwzM1t1//593rnd4OBgpKens8GDQqGghumVCYe/vz/c3NwIMlpUVITQ0FBBAcjQ0BA1d8TFgQMHMD09jXfv3uHdu3dobm5WO3OsUCjQ3t6O9vZ2PHz4ECYmJli4cCHla9nX14fCwkKiDUqooIEmrF+/HosXL9Z6NjAsLIyYCWJ8B7nzesp4+fIlEXwZGBioVVNcuHAhIiMjiWpeS0sLnj9/jujoaMzMzCA7O5uqwqxdu5ZKiKhqs1SGsbExdu/ejQsXLlACI5pgZmaG9evX8yY0VIFbmdPUAqgOTHualZUVzp49q/H1fAlaBiKRCCYmJoIeq1evxuXLlwVv53zaKvng6OhIVNo/fPiAgoICNDY2Eq9zdXVVKXiiCgEBAcT1rrW1FePj4wTxbGpqogSpYmJisHDhQnR3dxOiIO/fv0dhYSGVUFKGWCyGvr4+cSxrS7g8PDxw8OBBXL16lTI4ny9MTU1hbW0NS0tLldYzN2/ehKGhISEyJxRcgRVuZdra2hoHDhzAhQsXqOvi6Ogofv7zn+P//J//o7Mu0OE7xQ+azIWHh+PixYvYtWsXRkZG8M///M/Ua/z8/HD79u15q7YxkMvlOHfuHIC5k1fbwduBgQF8++23+Pbbb1W+ZtmyZTh37pxGRTQddPiUKCoqQmFhIbU8KSkJy5cv5/0fsVgMR0dHom2Kj8wxMDExwWeffca2XnKrZzKZDEVFReyMXGNjIxtUS6VSav6NaYHs7u7GlStXKKlxYO48zcrKEiTMsXTpUmKuZ3Z2Fs+fP8eyZct4Xz85OYmbN2/yKp3p6+tj7dq1CA0NJW7gnZ2d1JyHMpkTiURYuXIlTpw4wS4bHx9HSUkJkpKSNH4G5bZCVaitrUVUVBRsbW0RExOD2dlZtLS0oKGhAe/evSNU8vjAJ9kPaCekoC2ePXsGa2trrYPrhQsXwtLSkiAkr169UknmZDIZVV1l5hnVITU1Fe/evSOqx3l5efD19UVBQQF1bIaFhbHKmMoQ6rtlaGiIHTt24PLly7ziPnxYvHgx1q5dK2hmUBlClSzVYXp6Gu/fv0dDQwMaGhq0agFWBYVCgfHx8U+WMGBgb2+P3bt3f3S8AMyROeVzRXm+koGpqSm2bNmilWInMNdpwCVW9fX1WLJkCfucW5Wzs7ODt7c3q57KbS198uQJXF1d1Rq8GxgYfBSZA+YSEtq0sIvFYlhZWcHa2pp92NjYsL8zFcPp6WmVZE6hUODKlSuQSCQaDei5UFeZY2BiYoLdu3fj6tWrvII0P//5z/FP//RPWp9/OuggFD9oMgcAGRkZqKqqwm9/+1vcvn0b7e3tMDAwgI+PDzZv3oyf/vSnn+QEys/PZwPXrVu3alWq/+Uvf4n8/HyUlJSgvr4efX19GBoagomJCVxcXBATE4Pt27dj1apVuuyNDn82KBQKPHz4EEVFRdTfUlJSkJCQoPb/nZycKDKnCUy7VVVVFR48eEAFY8PDw5QHFx8sLCxQVlamksBwq2KaYGVlhaCgIFRXV7PLnj17xuvB1tbWhitXrvDO8Tk5OSErK4vXhJhL/GxtbanXeXh4wM/PjwjSS0pKEBkZqdZXrKmpiVp/dHQ0JiYmCKLFkDkG+vr6rPAJMJd0Yqp2TU1Nn9zofD7o7u7GiRMnsGjRIqSmpgoOBMViMUJDQ4nju7q6GqtWreINnt++fUuRbSGzy0y7pbJlzezsLH73u99Rr3VycqKUFhlo47ulr6+PLVu24Nq1axqJtLOzM+Li4uYlmT7fNsv+/n68ffsWDQ0NaGlpmZdP5V8Cvb29+M///E+YmprCwsIC5ubm7EP5uYWFBQwNDdXer7kiKFwIFTzhg56eHnx8fIhzXpnMDQwMUEQ/Ojqa3V4zMzNeC4dr167hRz/6EdU2yMDAwIC4Zgtts2Qgk8mQk5OjknQpIy0tDX5+frCwsBA0p6npWiWXy3Hp0iVs27ZNq+q0EDIHzJ2Tmzdvxv/3//1/vH9/+vQpZV6vgw6fCj94MgfMBUC//vWv8etf/1qr/9u3bx/27dsn6LWpqanz7n2OjIzUCZro8L2CQqFAfn4+ZdILAKtWraLaGvmgTgRFHUQiEUJDQ+Hv749Hjx7h2bNnWp9b3KwzA319faSnpwsyweUiLi6OIHMTExOorKxkz13GcPnhw4e82xsdHY3U1FReoqCqxZJvG1NSUohAbGZmBkVFRSpJgFwupwQkjI2NkZSUhObmZiLYb25uptqxlGFjY4Po6GhER0dDKpUSVTs+SXchMDc3ZzPpVlZWsLGxwcjICPLy8rRaT01NDerr6xEXF4eEhARB/lhhYWEEmZuamkJdXR2vSihX+MTNzY06xlVh4cKFiIiIUDvjaGhoiM2bN6tsF+UmHaVSKaGAyIVEIsGaNWs0krmuri4cOXIERkZG8PDwgKenJzw9PeHo6KjxHBHaZskcK2/fvhVU4RUCZ2dnmJqaYmJiAuPj45iYmKDaVb8LKBQKjI2Naawg6uvr8xI95rkm8rxmzZqPauUMCAggrimNjY3s8cK9PhoZGSE0NJRY5u7ujtWrVxOqr9PT07h48SK++OIL3uNOqNccH2ZmZnDp0iVBarvAnAefs7Oz4OQNH5kLCQkhVFJlMhkuXryI7du3Uz6HqsAlc+pmdUdHR2FsbMw7q1pSUgJXV9d5tXrqoIMm/FWQOR100EE4FAoFcnNzeUU+0tLSEB0dLWg93Ha1/v5+tcEnF0ZGRli9ejUrI6/tDBDf9mRlZanMKmuCk5MTvL29iZmW4uJiLFmyBOPj47h69SrvNhobG2P9+vVq23cY+XBlqPK9dHBwQFhYGCHY8eLFC8TGxvK2YL948YIyJV6xYgWMjY3h4+NDtGMpFArU1dVRUvt80NPTg7e3N9s6297ejqNHj/K+1srKCg4ODkQrFPPgktuRkRF2nlkVFi1ahN7eXmrmRyaT4fHjx6ioqMDKlSsRHByslpBYW1tj4cKFhILhq1evKDLX399PzfBom4BLTU1FXV2dyta/DRs2qG2h5+sgmZiYUHk+DQ8P4/Tp04K3b2pqCvX19axYhrGxMUvsPD09WQVGBnK5nKpUKlfmRkZG2NbJ9+/fa0W0rK2tMTQ0pDaJY2ZmRilGz87OYnJykiV36h7Ma74rAYrZ2VkMDAzMi7iGh4d/dILX19eXUMyUyWRobGyEl5cXJfYTHh7OexxFRUWhvb2dSGIxgj1ZWVnUucVdh9DK3OTkJM6fP0/NlKnD1NQUTp06hU2bNglqjeQ7/jIyMiCRSIj5QqlUigsXLmDnzp2CyLTQyhwjbqNK7E6hUODq1aswMjISTCR10EEodGROBx3+G0GhUODu3bu88xvMTJtQODg4UPLbHz584JVx17SePXv2oKamBrm5ufMyXY2NjUVKSorWsydcxMfHE2RucHAQN2/exNu3b3nb3jw8PLBx40aNrVLcqpyFhYVaIY6kpCRUV1ezLaRyuRyFhYXIysoiXjc5OUnNOzo6OrLtVowkt3JbU01NjVbfM/BfLbmqkJmZKSgwkkqlyM7O1jjr5ODggKysLLx48QKFhYVUgDQ6OoqcnByUlZVhzZo1apUZw8LCCDL3/v17DA0NERl/bkXN2NgYixcv1vh5GExMTOD58+dqP5em88LQ0BBisZgIHicmJngrE319fTh9+vRHGRRPTk6itraWPTZNTExYYrdw4UIYGhpSgezIyAjq6urQ0NDAa4StCmKxGB4eHvD19YWfnx8sLS3xu9/9Tq1XWENDAxobG4k5XH19fejr6wtuTVQoFJiamsKZM2coBda/JBoaGnD9+nV4eHjAw8MD1tbWWncSMGRc+diuq6vD8PAwUTETiUQqE3QikQgZGRno6ekhvs83b97Azc2NsoeYT2VudHSUstQAQM38AaCOf8bsPSMjg3fOVBncypxIJIJEIsFnn30GmUxGVOhmZ2dx7tw57Nq1S+N5KZTMPXz4UCNZlclkuHDhAvbs2SNITVYHHYRCR+Z00OG/CRQKBW7dusUrob9+/XqEhYVptT59fX3Y2dkR1ZOuri6tyRwwd+NdvHgxfH198fjxY5SUlGgU81BGaWkpXrx4wQZ73Ieenp7a58rLueCTtBeJRFi+fDkSExMFzXNwh+IDAgLUBm+WlpaIjo4mFP1ev36NpUuXEjYAfEQnLS2N2KbAwECCzDU1NQk20GZQXFxMqfApo6OjQyOZUygUvF5jPj4+MDMzI/bz2NgYxGIxoqKiEBQUhIcPH/IaT3d0dODo0aMICQlBSkoKb5AfGBiIO3fuEFWEyspKVtxndnaW+o7DwsIEJQYGBwdRUlKCiooKjZWpP/zhD1i9erXKaiKj0Kjc3seXQOjo6MDZs2fV2t0wYMQjhFSPJiYmUFNTg5qaGpWvyc7O1rgeBmZmZvD19YWvry+8vLwIIlBeXk4RuZ07d+L69evE58/NzcXBgwe18rZThkgkQnl5uVZELjU1FXZ2dhgdHcXIyAhGR0fZx8jIiKD9rgljY2OorKxEZWUlgLlWZE9PTyxYsACenp6wtbUVRO78/f0JMldfX0+oVAJz1xp1rYrM/OXhw4eJcyQ3NxfOzs7Eea1tZW5wcBCnT5+mrBiMjIywc+dOnDx5kiBhe/bswdOnTwmDcYVCgRs3bmBsbAwJCQkq9wuXzOnp6bHWU+vXr4dMJiOugzMzMzh79iz27Nmj1jRdk5olMJcg4hPpOnjwIPLy8ohk0ezsLM6ePYv9+/frjMV1+GTQkTkddPhvALlcjps3b1JBq0gkQmZmplr5dXVwdnYmyJwQERR1MDAwQEpKCsLDw3H+/HlelUpVmJ2d/bPM1FhYWGDjxo2C510GBwep/aKqxVIZiYmJePnyJREw5efnY/fu3QDmqqDcOa/FixdT2+Xr60vYSCgUCtTX12vMdDPo6OhAQUGB2tfweftxUV5eTh1/1tbW2LhxIyVDr1zhMjY2RlpaGiIjI3H//n1eUllVVYXa2lokJCRQojX6+voIDg4m9lVFRQWWLVsGkUiEmpoaKkDXVLns6OhAcXExamtrBbfxTUxMICcnB1VVVUhPT+f1/NNE5t6/f4+LFy8KnlUyMzPDV199hcnJSTQ3N7MPbnD9qeDq6spW35ycnHgDb5lMhidPnhDLPD094ePjg+TkZNy8eZNd3tPTg4qKCkKlURvU1tZqPHa5KCgoQFZWlspjQCqVEuSOS/aY37URDxodHUV1dTXb7mhqaspW7fhaYBkEBAQQ87LT09MUweL6yvHBxsYGGzduxPnz59llCoUCly5dwsGDB1l1Ty6ZU3ccfvjwAWfOnKFmD83NzbFr1y44ODhQ546BgQG2bt2KmzdvskSXQUFBAcbGxrBmzRrefcG99itfA8RiMTZs2ACZTEYk1qanp3H69Gns3btX5Xyspsrc2NgYrl69Sr1m06ZNMDIywtq1azE1NUUQSaZavH//fkHenzrooAk6MqeDDn/lkMvluHbtGjEXAcwRuaysLK3aybhwcnIi2lc+lswBcze6Fy9efGcB58ciKysLCxYsEPx6bouliYmJoP83NjZGQkIC8vPz2WXv379n52Lu3btHBEN6enpYuXIltR4DAwP4+voS21FTUyOIzE1PT/MaCnOFBbjVNi5aW1spkRZ9fX1s27YNxsbGlCALX7uivb09du7ciYaGBty/f5+qNs3OzqKwsBCvXr1CamoqITATHh5OkLmhoSE0Nzdj4cKFFCH28vLinbtUKBRoaGhAcXExVf3QBo2NjfjjH/+I5ORkxMbGEsGhOq+5mpoaXL16VauK9cjICMrKyhAfH4+QkBA2aTM8PIympiaW3PEpswqBkZERvL294evrCx8fH0EG21VVVdT7MRYgYWFhePbsGdGSV1hYiKCgIMGzuAy6u7uRk5NDLY+OjiY8JbmQyWS4dOmSytY+PT09dh5UFRQKBS5evMhr5i0E4+PjRJXU2NiYIHeMeI2lpSWcnZ1Vik85OTkJvlb5+flh2bJlhGDQ+Pg4Ll26hL1790IikQgmc21tbTh37hympqaI5TY2Nti9ezdbKeRLhEgkEqxfvx5mZmaUQFdZWRnGx8eRmZlJVc75KnPc9WZlZSE7O5uo/E1NTbGEjq9Spo7MKRQK5OTkUNerlJQU1hKHIZKMvyeD0dFRnD59GgcOHFCrVKyDDkKgI3M66PBXDJlMhqtXr1KtU0zmUEiFSB242cyenh7IZDK1il+qIJfL8fLlSxQWFqqVZf9L4/jx4/Dx8cHSpUuxcOFCje1Q3BZLf39/wW1jMTExKCsrI1rS8vPzMT09TYmxxMfHq2ynWrRoEUHm3r9/j8nJSY2m6Ldu3aJIdWJiIoKDgwkyNzIygpGREd42x5GREWRnZ1NB0fr169ngiRvMqFISFIlE8PPzg7e3N549e4aioiKqEjE0NIRLly7Bw8MDa9asgZOTE5ydneHg4ECQhFevXsHY2JiqKnKFKaRSKaqrq1FSUkIJsnC3zcPDg/peXF1dKbIrlUrx4MEDVFdXY926dez8pCqvuRcvXuD27dtU8Ovl5YW+vj61s3NPnjzBkiVLiO/a0tISYWFhCAsLg0KhwNDQEEHu1M2yWVpaIigoCL6+vnB3d9eqBVIul1PtaO7u7vD09AQwd11atWoVzpw5w/59bGwMT58+RXJysuD3GR8fx4ULF6hqTWpqKsLCwigyZ2trS6i1Mq19k5OTiIuLE/y+DKanp1W2JdvY2CA2NhYtLS2suqwmTE5Ooq6ujr2WGBkZYcGCBfDw8ICFhYVKMhcTE6PVLN7y5cvR2dlJkI62tjbk5uYiLS1N0Mzcu3fvkJ2dTe17R0dH7Nq1Sy1xYbaV8dw0MzPD/fv3ide8efMGExMTlEWUJjLHLNuyZQvOnz9PCB5NTEzg1KlT2L9/P5XIUUfmnjx5Qgkn+fr6UmrQEokEW7ZswenTp4m5usHBQZw5cwb79u2bl3WIDjow0JE5HXT4K4VMJsPly5cpMsHcWPz8/D76PbhkTiaToa+vT6PHEhfv37/H/fv3qSF5oVi7di2cnZ3ZVkvlh1QqFbSMeSibP6sC48Xm6OiIpUuXIigoiJfAjo6OUkPx2hBofX19JCUlEa1nXV1duHTpEvE6CwsLxMfHq1yPr68vJBIJIahSX1+vdk6yoqKCkr13d3dHUlISRCIRDA0NCSLV0dFBkTmpVIpLly5RAWt8fDxRERZSmVOGRCJBXFwcQkNDUVBQwDsH2tLSgkOHDmHJkiVYsWIFwsPDicCQr0XS3NycPS+mpqZQXl6OZ8+eqZWpNzAwwJIlSxAbG4v+/n6CzOnr6+Pzzz9HfX097ty5Q5Gk7u5uHDlyBLGxsUhKSuIlc0+ePCGqswwWL16MjIwM/Md//AexfO3atbhz5w77fGpqCo8fP8aqVat4t18kErGVpiVLlkChUKC/vx9/+MMfeF/v5OSElJSUeXmivn79mkoOMO2uDLy9veHj40MQiuLiYkRERAgSPmFEM7jVv7CwMCxdupT9vMrbERsbi66uLuo4evDgASYnJ7FixQqtPm9VVZXKNsuRkRGEhYUhKiqK3dctLS0suVNHpBlMTU3h7du3ak3jTUxMeC041EEsFmPjxo04fPgwcR0sKyuDq6urxpm5169fIycnhyJACxYswPbt2ynCwj3/uPs4NjYWpqamuHbtGrHOpqYmnDhxAjt37mTJobo2S2Xo6elh27ZtOHv2LFFhHx8fx8mTJ7Fv3z5CdVYVmWttbaXEp8zNzZGZmcl7rOjr62P79u04efIkITbz4cMHVoxF2+qzDjow0JE5HXT4K4NUKsXw8DAOHTpE3eD09PSwdetWrUxT1cHY2BhWVlbEjb+rq0swmevr68ODBw9UBiVcdTNVuH//PtatWzfv2T8GnZ2dOHLkiODXf/jwAdeuXUNeXh6io6MRGRlJVEC4RNrQ0BALFy7UapvCwsJQUlKidn5w1apVKoMX5n19fHyItq/a2lqVZK6vr4/wnwLmqgEbN25kgxkXFxdCfKG9vZ0iqnfv3qUqX97e3lixYgWxjJutn56ehlQq1ShCYmpqioyMDHaejq/98eXLl3jz5g1vxY1LVsPDwzE2NobS0lK8fPlS7UyQmZkZYmJiEBkZyQap3LY6Ozs7iEQiBAQEYOHChcjPz6eUZBUKBUpKSlBbW0vtBz6SCszN9K1duxY9PT1UQBwSEoLW1lbis5WVlSEmJkaQ6bdIJFJ7ztXX1+Phw4daVcoA/qqci4sLoVbJIDU1FY2Njexnk0qlKCgoQGZmptr3YER2uAkUd3d3pKens0G2i4sLQea6urrw2WefwcTEhJrne/LkCSYnJ7F27VpBVUiFQqHWb1AqlaKxsZEVQbKzs4OdnR0iIiKgUCgwODhIkLv5tsBOTEwgLy8Pbm5ucHd3h4WFhSBCamxsjC1btuDYsWMEIb158yZ1vVA+P8rLy3H79m1qfb6+vir9FYXMmwYHB8PExATZ2dnE+3V3d+PYsWPYtWsXbGxsBFXmGOjr62PHjh04c+YMcayMjo7i1KlT2LdvH9vlwEfmJicnceXKFWL7RSIRNm7cqFZYytjYGLt27cKxY8eI46+trQ0nT57E3r17dYROh3lhfhJROuigw/cSs7Oz+NOf/oSvv/6aN1O5Y8eOT0bkGHCrc0Lm5iYnJ3Hv3j386U9/Uknk/P398ZOf/ITy5lq5ciU12yCTyZCTk6PS0FsIGP89ZRgaGuIf//Ef8Q//8A9ITExU2ZY4NjaGgoIC/Od//ifu3LnDznNxyZyfn59g+wSFQoHp6WkMDQ2praJ6eHgIMqLlvqaxsZGaaQHmgs3Lly9Tx09GRgbRxsmV1ua2Er548YIiI9bW1sjKyqKCYr5ZK02mzcpwdnbG3r17sWnTJl7CMj09Tc3f8KG1tRW//e1vUVpaqpLI2dvbY926dfjZz36GhIQEotrANVZXbtkyNDTE2rVrceDAAdjb21PrHRoaEiQks2zZMqSnp0MsFlOVbCsrKxgaGiI5OZnYxzKZTK21BBeaZgKLiorUql7yoba2lkpIcKtyDBwcHCjRk8rKSpXthAxKS0spkR1LS0ts2bKFOO+46oWdnZ0QiURISUlBamoqtd4XL14Inlfs6OjQ2GGgapZOJBLBxsYG4eHhyMzMxP/4H/8DP/vZz5CZmYmwsDCtxTKePXuGK1eu4De/+Q1+/etfIzs7G8XFxWhtbVUr0OLs7Iz09HRimVQqpeZLp6enoVAo8PjxY14iFxwcjK1bt6pNNClDFdn09vbG3r17KaI0ODiIY8eOoaurSysyB8xV1Hfs2EEdC8PDwzh16hTbusxH5m7cuEG1Ni9btoxtF1YHMzMz7N69m0rcdHZ24he/+AUlBqWDDkKgq8zpoMNfEaRSqUoZ8tnZWZSXl6Orqwtubm5wdnYWfJNVBycnJ4K0qCNzMpkML168wMOHD1VKfDs6OmL16tVYuHAhFAoFlZlesGABIiMjcfnyZaIVCwAePXqE/v5+rF+/XmvPOT5Z74SEBJZorFixAomJiaisrERJSQnvfp6dncXz58/x/PlzeHp6UvNTfn5+GBsbw/j4OPvgPld+CFHEE0rO/fz8iFZLmUyGt2/fUtXMBw8eUB5iERERFBlkBvwZdHZ2Qi6XQywWo62tjWj1A+aSCVu3buUlxEZGRsS2AXNtT+ok1blg7C38/PxQUlKCJ0+eaK1uqs643sPDA3FxcaxZMx+4ZM7Ozo56jbu7Ow4ePIgnT57g8ePHWgmarF69mvD+4n5PTJLDxsYGERERRBWwoqICsbGxgqrm3PPAwsICo6OjRKLk2rVrsLW1FbQ+hUJBCGsAc+e5uiQF47WoTKpzc3OxZ88e3v3f0NCABw8eEMsYkR1u4MwN4Ht6ethKcFxcHIyMjHDr1i3i87558wZTU1PYsmWL2uoJtypnZWWF6OhoIlFUX1/PniuaYGVlBSsrK4SGhgKYa9NkqnaMZ6IQjI2NEb6CYrEYzs7OcHV1hbu7O9zc3GBpacnu27CwMHR0dFAEThkzMzN48OABLwGJiopCWlqaynOFL+mmrnLo4uKCAwcO4MyZM8RnHh8fx4kTJyihFyH3NiMjI+zatQunTp0i7luDg4NshY5L5l68eEGds56enqyIjzooFAqMjIygo6MDDg4OvAmr3NxcODk5ad3BocN/b+jInA46/BXh6NGjav+urJAmFovh6OgIV1dXuLm5wc3NDTY2NlrPwnDNr7u7u6FQKKj1NDQ0IDc3V2W7oKmpKVasWIGwsDA2yBkfH6dunJaWljA0NMT27dtx//59Sszg9evXGB4extatWwWp6wFzxCYvL496H65prr6+PiIjIxEREYG3b9+ipKREZRWDjxhcuXJF0PZog/z8fFRUVCA6OhphYWEqA01GeVC5ElpTU0OQufr6emp/2tvbY/Xq1dT6uJW52dlZ9PT0wNTUlFfwZN26dSoDf5FIBFNTUyLbrU1lThn6+vpYtmwZwsLCkJ+fTwi1aAuRSIRFixZh6dKlFHnlA/fY5lPFBOZm/pYvX47Fixfj5s2baG1t1bgdfBYiXEEW5Yr18uXLUVlZSZCh/Px87NixQ+17KRQK6phevnw5ZmdnCUXS2dlZXLhwAT/60Y80ehbW19dT1SpVVTkGZmZmSEhIIKwFmpub8fbtW/j7+xOv7e3tpdreAGDDhg28kvPca5ZcLkd3dzd7TDOCMVeuXCGuP42NjTh9+jR27NjBm5TgStAz6woICCDI3OTkJNra2gTbmyjDwsICwcHBCAoKwpUrVwSTOS7kcjk6OjrQ0dHBnvNmZmYssXNzc0NKSgq6urpUqtUODQ3xErlly5axs7WfEra2tvj8889x9uxZgnzNzMxQiT2hyTxjY2Ps3r0bJ0+eJI7R/v5+nDp1iprT5N6PTExMiPZzZczOzqKzsxPt7e3sQ8h17dSpU/jXf/1XQduvgw6AjszpoMNfDaqqqqjKgDrI5XJ0dXWhq6uLzb4aGxvD1dWVJXiurq5qFQ8Bus1yenoag4ODbHtkT08PcnNzVaq7SSQSxMbGIjExkVJL4wYqYrGY9TwSi8VIS0uDra0tJdPf1taGb7/9Fjt27OBtaePixYsX1L5LSUlRGRCIRCL4+/vD398fnZ2dKCkpoeav/pzo7+/H3bt3UVBQgPDwcERHR/O2ZAUGBhJk7t27d5ienoahoSFGRkZw/fp14vV6enrYtGkTb5bb1NSUmpdsbW1FdXU1FbDExcVpFGPgkjkhKn+qwCQTmBkfbQmdvr4+K5ghtLVtdnaWqiLzVea4f9+3bx9evnyJW7duqXzdtm3beKtYXIKkTOZMTU0RFxdHtFc2NDSgublZbTvY4OAg9f15eHjAxsYG3d3dRBsjoxy6a9culQq2fFU5e3t7QUJAsbGxePHiBbFfHzx4AB8fH/b9JiYmcP78eUqMIzk5WeV7GBoaws7OjiDfnZ2dRIIiMDAQO3bsoFQx29vbceLECezatYu9FjGorq4mXisWixEeHg4zMzM4OjoSldS6urp5kTkGDx48oIgjH4yMjHjbqfnAV70TmhBjsGbNGkHedtpW5hiYmZlh3759uHDhgtpKujadGSYmJiyhUz4ment71SrYAkBmZibMzc3ZeUdl4vbhwwdBM998KCkpoVQxddBBFXRkTgcd/grQ1taGGzdufPR6JicnWaVGBra2tiyxc3Nzg4ODAxG4mZubw8TEhLAT6O7uhpGREQoLC/HixQuVc2yLFi3CypUrVQbM3OCYb4ifIS6XL18mqhBDQ0M4evQotmzZAi8vL5WfeWpqiponcnFxEaQEJ5fLWTL0XUJfXx8ymUxjYDA9PY3S0lKUlpbC398fMTEx8PT0ZPcZY4vArEcmk6GhoQGLFi3C1atXqdbX1atX83ovMXBzcyPIHFc0BZiTz09JSdH4GYXaEyhDLpdjcHAQfX196O3tRX9/P3p7e9HX10cF90JgamrKCtloqjZxwZdIUVWZU4ZIJIKXlxcMDAxUzunxEbnp6Wnq/OB+V0uXLsXz588JYpyXl4fPP/9cZeDMrcqZmpqyFfv09HT09fURs33Nzc2sdD0f3r17R826JSYmCgrc9fX1sWLFCsIvrr+/Hy9evEB0dDTrCcdVyAwKCkJiYqLadbu6ulJkjgsvLy/s2bMHZ8+eJQhRT08Pjh8/jt27d7PXLj7hE39/f/a49vf3J8hcfX09Vq1aNa/qVUlJCVURMzAwgJ2dHfU59u7dCz09PbS3t6OtrQ3t7e2CVYPlcrkgdU0GycnJrN3FfD6Xpv+Ry+WYmJjAxMQE4uPj1ZK5169fw9raGiYmJjAxMYGxsTH7u4mJCQwMDIj3MzMzw549e3D8+HHBHqfOzs7o7u5GeXk52tvbP6mlTm5uLoyMjAT5geqgg47M6aDDDxxDQ0O4ePGi2tmbTZs2YWZmBu3t7eyAvlChkP7+fvT396OyshLAXMbTxcWFaM90dnYmKm85OTmQSCQqA2pnZ2esXr1aY2aaW5lTNUPl6+uLAwcO4Ny5c0R1Z3p6GmfOnEF6ejoiIiJ4//fx48cUiVEXZMnlcjQ3N6Ompga1tbXzvoGbmJjA1NQUpqamMDMzY5+bmZmxy5mHgYEBOjo68O233xLrsLe3V5k5rq+vR319PRwcHBATE4Pg4GAYGxvDy8uLIOs1NTWsPLoyAgMDVe4zBq6urmorklZWVryCJ3xQZ08wOzuLvr4+4tHb24uBgQGtZs40ISMjg2rhEwpui6WlpaWguZ2enh6cPn1arXJmR0cH1ebJDcjFYjFVCTQwMMDy5cuJ+cWOjg7U1taqFM3htnx6eHiw5wLj03XkyBEiyC8rK4OTkxMVePJV5WxsbAhbCk0IDg7Gs2fPCJLy8OFDhISEID8/nwroXVxcsG7dOo3EwMXFhb2mAfxkDphLWOzfvx9nzpwhPjMjvrF79244ODigs7OTmmFUFnEJCAgg9sXg4CB6e3vVJkv48ObNG0qoSSwWY8uWLXB0dMTvf/974lh68OABdu3aBTs7O7ZSPT09jY6ODqKKpGqGWRsUFhaisLAQYrEYxsbGah987eBVVVUwMjJiCdvExATGx8fZn0IrjAy46qnKYLZRmeAZGxvDzc1NMJljOlu0BfM+PT09atVKb968CWNjYwQEBGj9Hjr894KOzOmgww8Y09PTOH/+vMaWtKmpKURERLDB1szMDNvLz9zUhc4oSaVStLa2qp3zkUqlvOIdZmZmSElJQWhoqKDMLfdGp05a3dHREV988QUuXLhABGaM+XV/fz9WrlxJEIuhoSE8e/aMWE9AQABFMhkC9+bNG9TV1X10BnbDhg1a2yhwv2Nzc3P8+Mc/RnNzM549e6ZSIa+npwc3b95EXl4eIiIi4ObmRpA55bYqBpaWlsjIyND4HWmaI0tLS8PMzAymp6chl8uhUCigUCjY35WXcedyysrKMDAwgL6+vnnPBWmL7OxsZGZmIjg4WOv/FSJ+wkVbWxvOnTunMUjNz8/Hnj17iGVcMmdra8vb6rhkyRKUlpYSgj35+fnw9/fnfT2X1HOFJczNzbF161YcP36cINK3b9+Gvb090arY1NREKXQmJiZqZTQuEomwatUqnDhxgl02OTmJX//615TAjbm5ObZt2yaIRHNFUHp7e1VW2R0cHLB//36cPn2aCPTHxsZw/Phx7Ny5k1JutbS0JGwXnJycYGFhQSSb6urqtCJzzc3NRJWSwbp169j3io+PJ/zP3r9/j8bGRkIoydDQEF5eXmzHAuN3p0zutEn4cSGXy1kRJ23AJf7fJea7jdpCJBKxs+nMPCJT6T516pRaMqdQKHD58mXs2LFDbXeJDjroyJwOOvxAIZfLceXKFSqo8/b2hoGBARGgt7e3E1UWAwMDeHp6srMzjMoWcyPv6OhAZ2fnJ6t6MCpx8fHxWvnoaEPmgLlgbt++fcjJyaEICqNAuXHjRnYb8vPzic8oFouxcuVKAHP7t6mpCTU1NVoROCcnJyxatAj19fUqhQOuXbsGAFoROi7ZNjU1hUgkwsKFC7Fw4UIMDAygrKwMFRUVvBXRyclJykOLDyKRCFlZWTA2NoZcLsfY2BjGxsYwOjpK/a6JZJ0/f17w5+MDV9RAW+jp6bE+XnZ2drC1tVUrQiOXy3H16lWMjY1pPa8iVPyEwbt373Dx4kUq6eHg4AAvLy+Ulpayy5qamvD+/XsioFM3L6cMiUSClJQUwmh+YGAAr169orz3RkZGqKoEX/Xc1dUVGRkZ7HEMzLXsXrx4EV9++SU7S8YNzq2srOZFlD08PBAYGEic06o8NLlzbKrg5ORE+Vh2dXWpnCe0trZm1RSVK3BTU1O8wlNLliwhkiGM36CywFB9fb0gFURg7vu+cOECdU1esWIFq3QJzLXWlpeXE1XE3NxceHl5qSTRyn533Ord27dvqYSXDqphamrKdqy4ubnBxcWF9543NjZGVZU3b96Mzs5OwkaFOa/27NkjSIRJh/+e0JE5HXT4gSIvLw8NDQ3EMjs7O2zatAkVFRUUmVMHkUgES0tLWFpasi1QMpkMHz58IKp3qmwPNGHfvn3zuhFxyZwQqXp9fX1s3rwZ+fn5lLdYfX09Tpw4ge3bt2N4eJhqEVyyZAmGhobw9OlT1NXVCW49Ygjc4sWLWeGXsbExlWROoVDg2rVrUCgURCCmDtwMMnfGzMbGBmvWrEFycjIqKyvx7NmzeX1fjPEyY5nwQ4CJiQlB2uzt7WFnZ0dIrQMgTM4ZuLm5UedHbm4uRkdHkZqaKnj2R5vKXHV1Na5du0bNQLq7u2P79u3Q09PDmzdviIC8oKAACxcuZLdHKJkD5lpmXV1dieORaVVUDjS51XYjIyOV6w0NDUV3dzdBOsfGxnDx4kXs27cPHR0dvFYfqoRSVGF2dhb9/f1wdnamEjTKWL9+vVbXGD09PTg4OBCqiJ2dnWrFYRjxjXPnzlHG5MoQiUS8s07+/v4Emevs7MTIyAilmMjF8PAwzpw5QyVpIiMjkZCQQCxj5gyVxYx6e3tRUVFBefepA1OhFCKyAsx95vlW8uYDIyMjmJqasu3pXE9PYO64n5ycJNo25ytIogouLi4EebOyshJ0zaipqSH2l4GBAXx9fdltVq70zszM4OzZs9i/f78gQS8d/vtBR+Z00OEHiJcvX1ID8MbGxti+fTuMjIwo2fi+vj5MTk5qVKZUhkQigYuLC9GONDExwRK7jo4OlQqVXBw/fhzBwcGCfa4YcCs/mipzDEQiEVauXAlbW1vcunWLyr4fOXKEt7WtvLxcra+SMpydnbFo0SIsWrSIMjYHoHFfKxM6JhuuDtzKHJfMMTA0NER0dDSioqLw7t07PHv2TPD3xIA7+/N9gZWVFS9pEypWwg34nJyccODAAdy/f5+qPpSUlGB8fBzr1q3TSEAUCoXgylxZWRmvUIyPjw+2bNnCtgguW7aMMGLu6OhAfX09AgICoFAotCJzzPlw8uRJdtn4+DhKSkqwfPlydhlfi6W6lsjU1FT09PTg/fv3xHbeunWLEs6wsLBQmbhQKBQYHR1l5yGZOd2+vj61bWjKmI8vl4uLC0XmNMHIyAi7d+9Gdna2ysqxr68vb4XQw8ODUpesr69HVFSUyvebmprC2bNnqf0ZEBCg0sctJCQEpaWlxHlcWFiIoKAgQZ0RMpkMhYWFVDJMFSQSCX7605/C2NiYJU+Tk5MqHx8+fND4vS5evJg9t5VJGzPbxj0ne3t78cc//pFYtm7dOhgZGbHPFQoFZmZmKIKn/HxychKjo6Ma7UIYWFhYYOnSpVp5YgKgEokBAQHsuZ+eno6pqSnWRgiY66w4ffo0Dhw4oPV76fDXDx2Z00GHHxiam5uJIA+Yaw/cunUrSyqcnZ0pE+aOjg7BBtOqYGJiAl9fX/j6+qK1tRWdnZ2CqlcymQwVFRWoqKjAwoULsXTpUvj4+KjNYE5NTVGZaG1vYuHh4bCyskJ2djYRQGmj0KYMTQROGVyCsWDBAri4uBCVDAC4fv06FAqFRtUybpVMk2S4SCRiv6ve3l6UlZXh1atXn1Qw5GMgEokgFoshEokgEonUGnzv27cPLi4uH2Vyr1AoKDIXEBAAkUiE1atXw8zMDPn5+cTfq6qqMD4+rtEoenR0lNp+bmVOoVDg0aNHePToEfX/wcHBWL9+PRGghoeHU+b0BQUF8PPzYwNPZWiavfL09ISvry9RzS8uLkZkZCR7LGmal+NCLBYjKysL3377LdGeqSwswiA+Pp61Q2GImvJPbQ3eufjtb3+LiIgIxMXFCW61dHV1JSogQsgc8F9m5P/+7//O+/e3b9+ip6eH+k4kEgl8fX1RXV3NLqurq1NJ5qRSKS5cuECJHLm7u6v0NgPmvpdVq1bh9OnT7LKxsTEUFxcjKSlJ7WcbHBzElStXeLsKTE1NsWHDBlhaWuJPf/oToYqbl5eHTZs2wdDQUON1+vbt2xqTZt3d3Vi5cqXgaz4zh6Zc7erv7yeqtSKRCIaGhmq3UaFQ4OrVq4LeE5j7/hobG7Fs2TIsXbpUUOV5eHiYquwqiwKJxWJs2LAB09PTRCJudHQUp0+fxv79+1Um83T47wkdmdNBhx8QBgYGeA2ZP/vsM2K2hamqKd8w2traPprMMXj9+jWuXbs2L2LQ1NSEpqYm2NraIjY2FqGhobxBOl/mVlM7Eh88PT2xbt06ZGdna/2/wFz2niFwQj3HALoyNzk5yapkcquqN27cgFwuV6seyTczJxT29vYIDg5GQ0OD4EqHMkQiEczMzGBubg4zMzP2YW5uTiUWGEgkEnz11VcwNzdnSZsyeeOiuLgYDx484F3X06dPsW3bNq23WxldXV2E+AQA1odMJBIhISEBZmZmuHHjBhEQNjY24uTJk9ixY4fKfc6tyunr6xOEQqFQ4O7du3j+/Dn1v9HR0VizZg21TyQSCZKSkojAsre3F9XV1RRZ0dPTE3RspqSkEGRuZmYGRUVFSEtLw8TEBEUahPigmZiYYNu2bfj222/VErJHjx7xViQ/FWZnZ1FaWornz59jyZIliI+P11jJ54qgDA4OYmJiQmOld3h4WK0vIAAcOnQIy5cvR0JCAkG6AgICCDLX3NyMqakpooIE/FflnkuwbW1tBYm8eHl5wcfHh6geFhcXIyIiQiXZra6uxq1bt3iVVX18fJCZmcmeA5GRkUTL6Js3bxATEwN3d3e12zU8PIxXr14Ry1xcXDA4OEgkBvv7+3Hs2DHs3LlTUDeHRCKBtbU1kfzo6+vTur3/wYMHWnuGzs7OIj8/H5WVlUhPT1fbqgvQratGRkaEWA7wX8qxp0+fJtrABwYGcPbsWezdu5c6ZnT47wsdmdNBhx8IJicnce7cOaoSFhcXx1vVcXNzI8icprk5IVAoFHjy5AkKCgo0vjYhIQHj4+OoqqriJX39/f24ffs2CgoKEBERgejoaCLI4LZYmpmZCTKCHR8fJ+b8Ojs7tfYcs7GxwZIlS7QmcMrgI3MikQipqakQi8VUC9OtW7egUCgoUQoGmmbmVGF0dBR5eXlaGWevX7+eIG8mJia8BEyhUCA3N5c3iJfJZLh16xb27NkjSL2QT/2UQUNDAx48eIDVq1cL/gxccKty1tbW1PxJWFgYTE1NcenSJeIzdXZ24tixY9i1axfv8cAlc3Z2duz+kslkuHbtGm+AmJSUhGXLlqmsUAcFBeHp06dEu9zDhw+pY8TBwUHQnI6joyNCQ0OJyll5eTliYmKotk19fX04OztrXCfz/mlpaWq9Lj+lB5c6yGQyPH/+HC9evEBoaCgSEhJUVtHt7e2hp6dHHHtdXV1UYM1AoVCgvLwceXl5aq0kgDkxncLCQtTV1SEzM5Ot0nl7exNdE3K5HA0NDZQwTG5uLhX0m5mZYdeuXYLbilNTU9HY2MgmJ2ZnZ1FYWIh169YRr5uZmcGdO3d4K6qMKFRsbCxxjCUlJaGqqoroeLh37x6++OILtcfi48ePifuBRCLB1q1bMTMzgzNnzhDJptHRUXbGWVOVGJg775TJHJ/3ozqUlpZSiTZ9fX3q+ubr64uOjg7qmO7r68PJkycREhKC1NRUlddo7rUgMDCQt6JnYGCAHTt24MSJE8T52d3djf/4j/9AbGzsR10TdfjrgXB9YB100OEvBplMhsuXL1M3J39/f5WGzNy5uY6Ojo8aUJfJZLhx4wYvkfP19YWTkxOxzNzcHOvWrcPf/d3fYfny5SqrGozK4m9+8xvk5OSwvj1ClCylUina29tRWlqKK1eu4Le//S1++ctf4sKFC3j8+DGamprmZR49NDSEtrY2dHR0aAzaVIEbcE1MTLBmuikpKZRwATDXfsRXvQG0r8zJZDIUFxfj66+/1orIAXMVCh8fHzg6OrKqmXyYmZlRW41paWmhWhdVQdN+Li0tpeTftYGqFksufH19sWfPHoqMDwwM4OjRo7y+UqrET2ZmZnDhwgVeIrd27VosX75cbeArEomwYsUKYtnQ0BDy8vKIZdrI2ycnJxOBI0M6uBUgNzc3jS1jk5OTePXqFc6ePauxUiUEDIEMDg5GUlISsrKycPDgQfyv//W/qLZVa2tr/OQnP0FYWBjvPpTL5Xj16hW+/vpr5OTk8PoxSiQS6rqlSrSov78fJ0+exJ07d7S6JnR1deHw4cN4/Pgx5HI5awugDK6tSElJCdWObWBggJ07d2rVau7g4EDN41ZUVBDJgc7OThw6dIiXyNnY2OCLL77A0qVLqX1sbGxMzFsy61KuOnIxNDREVeWWLFkCCwsL2NnZ4cCBA1SCZWpqCqdPn1ZpvaIM7pwqN8miDm/evMH9+/eJZYx/n6+vL7Hc3t4eP/3pT1Um3qqqqvD111+jrKyM6qIZGBigriFBQUEqt8vY2Bhbt27l/VtpaSkePnyo8n91+O8DXWVOBx1+ALh37x4hMgDMZdnVzU1wydz09PS8TGqBuRtqdnY2rxpgVFQU1qxZg+zsbEJMgMnYmpqaIikpCQkJCaiurkZpaSlVBQDmgq+qqipUVVXB09OTIi9WVlYYHBwk7BO6u7u/kxkwuVzOmm7r6+vD398fQUFB8PHxEazGxyUDcrkcMzMzMDQ0ZIN0sVhMybffuXMHCoUC0dHR7DKZTEYJtqirzL1//x53795VGcwYGhqqJblFRUUwNTUltoEPfN6EJiYmRMa6uLgYbm5ubEujKnADZHt7e/T39xPB0O3bt2Frayuo/U8Z/f39VDCvbnvc3NxYGXrlpML4+DhOnDiBrVu3EgE5l8zZ2tqylXRuRZyZh1EXwCnD19eXV3FTGdoo3FlaWiI6OpqoQPCRTVX7eGJiAnV1daipqUFTU9O81AEtLS1Zqwhl2whzc3NeYlZRUUEdyytXroS9vT3Wr1+PZcuW4cmTJ6ioqKC2R6FQsNeVRYsWYdmyZUTbnouLC7FvuXNzcrkcJSUlePjwoUrvzPT0dAQEBEAqlaKwsBAlJSVE4kwmk6GgoAB1dXVYv349/P39iXbXhoYGSKVS6Onp4fXr1ypNwbnEUwiSk5Px+vVrNumiUCiQl5eHHTt2oKSkBPn5+bzfYVhYGNLS0tTOikZFRaG8vJw4/vPz8xEYGMjbBsoQWgYSiQSJiYnscwsLC+zfvx/nz58nukqkUikuXryIjIwMtbPFXMIvtDKnzr/Px8cHra2txPfV3d0NY2NjpKenIywsDLdv36YI2vT0NO7evYuKigqkp6ez7Z7cc83U1JRqy5TJZOjo6MD79+95vRqV8ejRI41JIR3++qEjczro8D1HWVkZNSxuamqK7du3q73RWlhYUCa17e3tWpO5oaEhnD17lpcYrF69GjExMRCJRFT/PrcdVE9PD+Hh4QgLC0NTUxNKSkpUqsFx/XeAucypUJlsPmgiMKowOzuL169f4/Xr1zAyMkJgYCCCg4Ph4eGhtn2QT81ycnKSlfwWiURITk6GSCSiRDHu3r0LuVyO2NhYAHSLJcBP5oaHh5Gbm0uooCnD0NAQycnJcHd3x5EjR1R/6P//NpiamhKD+VxwyRzTFsQ1lL5+/TocHBzUeq9xyZyPjw/i4uIIiXW5XI6LFy/iRz/6kVbtr9yqHOMFpQ52dnb4/PPPcfbsWaKSwciEKxMy7rlhYGBAtUYBc5WnLVu2aDW7ylRylZUoudBGIRaYM+5++fKl2vNBua1tfHycNZdvamqad4U/KysL/v7+WgnZSKVSqvrg5OREkHFra2tkZGRg+fLlePr0KV6+fMlLvGpqalBTUwN/f38sW7aMUusFSDL34cMH3LhxQ6UwSnh4OFJTU9lzXU9PD6mpqQgMDMT169ep46KzsxOHDx+mZmNnZmbQ3NwMiURCePcxUDYF1xbm5uaIi4sjrjHv3r3Dz3/+c97XGxgY4LPPPhPkByiRSJCamooLFy6wy0ZGRlBcXExV7QYHB1FRUUEs45vfMzY2xu7du3H58mW8ffuWXa5QKHDjxg2Mj48jPj6el7xwry9MMkjddVqIfx+33birq4vtsnB1dcUXX3yBFy9eID8/nzqnurq68O233yIiIgIpKSnUPWzRokUQiUTo7u5myVtLS4tWgkDv37+f9/Ghw18HdGROBx2+x3j37h3u3btHLJNIJNi2bZsgmX53d3fi5tHW1qaV11BHRwfOnz9PkQk9PT1kZWUhICCAXcYlc3zS/8BccOrl5QUvLy/09vaitLQUVVVVamemtIW+vj5cXV3h6uoKNzc3uLq6ory8nKqCaYupqSm8evUKr169gpmZGRYvXoygoCC4urpSwYWhoSFlSjw5OUm1SSUlJUEkElEB6/3796FQKLB06VKKNIlEIoIsSqVSlJSU4PHjxyqDgLCwMKxcuRKmpqZUhdXY2BgrVqygxEyuXr0KY2Njqi2MAZ9dgqurK1avXo07d+6wy6enp3Hp0iV8/vnnKgN5LpkzMDBAWFgYent7UVxczC6fnJzE+fPn8fnnn7PEWBO4ZM7f319QJpsxob948SKRYJDL5bhy5QrGxsYQERFBtQRzKyvA3Pmxc+dOjSSSD56envD29lZpMaFtgsbY2BgJCQkqW2DFYjGsrKzw/Plz1NTUoKWl5ZN4iN27dw8ODg5abe/Lly+p/btixQre78/CwgJpaWlITExEcXExysvLec8Hpuru4+NDVWhHR0fZdsAnT57wVq2srKyQkZGh8rxwc3PDl19+iYcPH/JW6ZSFQxgUFRWhp6eHIhUpKSmCvSiVoVAoMDs7i/HxccGVbFdXV2RlZWmVKPHz84OXlxfROfL06VOEh4cTglXcqpyenh5vqzkwd/3eunUrbt68SRHA/Px8jI2NYfXq1dQxwK3MyWQyDA8Pq/w8Qv37uGRucnISIyMj7D1YLBYjKioKgYGBePDgAW9b+4sXL/DixQtqeW1tLd68efNRM6U5OTk4ePCgYBVXHf76oCNzOujwPUVvby8uX75MBVHr168XHBC6ubkRZE4bEZTa2lpcvXqVIllmZmbYvn07ldEWSuaUYW9vj4yMDKSkpKC8vBzPnz/nbd0Tsh6GuLm5ucHe3p7IxjKeWsoIDAyEu7s7FXh7eHggNDQUb968wfv371UGsWNjY3j27BmePXsGa2trLF68GMHBwWygyhAuZSKs6obNtMkUFhYSy3NzcyGXy6k2OuU5toaGBty7d0+lQbizszPWrl1LHDPcqqmxsTEiIyMxPj5OkEqmErZ3717q+2b2gTKYamFkZCTa29uJoObDhw+4ffs21q9fzxuI85E5YC6Y7evrI7L0zLmxfft2jeIqo6Oj1HGvqeVTGQwJy8nJoSqe9+/fF+ThZ25ujl27ds2rxZnBihUrVL7X9PQ0ZmdnIZFIIJFIIBaLiZ98CqIxMTEoKyvjtemQy+X43e9+J2i79PT04OPjA1tbW42+ZOPj4zh16hT27NkjaF8wapvKWLBggcbKppmZGVatWoWEhASUlpairKyMtwr57t073u6A3/72tyrXHRMTgxUrVmj0a9PX12erdNeuXdPY8sdnQh4VFYX4+Hj2uVQqxfj4OCYmJjA+Pk48+JZpkyDT19fHmjVrBHt5MhCJRFi1ahUOHTpECK0UFBQgMzMTwNycGJeURUZGqiUfYrEY69atg6mpKXVcPXv2DBMTE5Sdh4mJCeXj19fXx0vmJicnBfv3WVpaUuvt6uqi9pWZmRk2bNiA8PBw3Llzh3dOkwuh9ztuYlAZ4+PjuHLlimCxKR3++qAjczro8D3ExMQEzp8/TwUgy5YtE9T+wmA+5uEKhQIlJSW8MvH29vbYsWMH7xD+fMgcAxMTEyxbtgxxcXG4ffs2deNXhqmpKVV101ShefLkCZGhZ1oc7ezs0NjYSATJLS0tWLx4MXbt2oXx8XG8efMGr1+/5g22GAwODuLJkyd48uQJHBwcEBQUhKCgIIrMqfPkW7ZsGcRiMVUtycvLo9qHzMzMMDg4iHv37hEkRxnGxsZISUlBeHg4dYPnfjfMd7ds2TKMj48TIixMW+GBAweo7VBF5kQiEdLT09HV1UUENJWVlXB3d+e1YFBF5sRiMTZu3Ihjx44RbYvv3r0TpHDJFU4wNDTU2mCaqUSbmppSAjWqWoUZ2NjYYPfu3cQ5I5VK1Zoqq3qowh/+8AeNn0GZ3DG/z9dvUU9PD35+fggMDISfnx8MDAwo2wFzc3P8+Mc/puaftCF0ZWVlVFeAqqocH0xMTLBixQrExcWhrKwMpaWlgnwxVSE2NhYLFixAY2MjS5CZbVH3fM2aNXj48KFKcRVVGB4exrFjx1iiNp82caGYnZ3F0aNHYWBgAHd3dyxYsAAeHh5wdXXVqCLs6OiI8PBwQqCosrIS0dHRcHFxwePHj4mkmJ6eHkFSVYExuzc1NaWSbtXV1ZiYmCA8IEUiEezs7IjkTV9fHyVgwszgCfXvE4lEcHJyIqrzXV1dRGeKMjw9PXHw4EGUlpbi0aNH8/ZQdHR0xMKFC7Fw4UJ4eHigoKCAt6oLzN23CgsLVQqi6fDXDR2Z00GH7xlkMhmys7MJE15gzlRUk+ErF9qah8vlcty5c4e3HcTLywubN29W6W3DJYjakDkGw8PDVEucMpKTk5GYmKjVsPfw8DAVgIeEhLDVrszMTPzpT38iqma5ubnw8PCAg4MDoqOjER0djaGhIZbYKQu9cNHT04OCggJe1U9NgWRCQgJEIhGlVsjN6nd3d+MPf/iDSvGXyMhIJCcnq5Qw56vMAWADz/HxcaIKNTExgTNnzuDAgQNENl2dwqaBgQG2bNmCI0eOEETt7t27cHZ2pip9qsgcMEfAtm/fjiNHjhDfU2lpKezt7dW2DnOPJ19fX8EiNsoQi8VIS0uDubm5IGsOBmZmZrh+/TpByj7WIHs+kMlkkMlk835vfX19+Pn5YdGiRfDx8SG+H6lUSrWWhYWFwdjYGDt37sTZs2cpQnfy5Ens3btXJaGbmpqiKjI+Pj5ai98Ac8mKZcuWISYmBuXl5SgpKeGdQ9WE0tJSSmXyu4SqRM13iZmZGSLBxXiWenh4YMGCBXB3d+e9BzBCK8rn8f3797Fu3TpKKTMqKkor0+ulS5fC1NQU169fJ6pTjY2NOHXqFHbs2MFe67hkjnvtVCgUyMnJodRb7ezs1Pr3OTs7E2RO3T0AmNtv8fHx8PLywuHDhwV9Tmtra5a8LVy4kFIsVp7d5cOTJ0+wYMECirzq8NcPHZnTQYfvERQKBW7dukXdaFxcXFS2p6mDRCKBs7MzcXNrb2/nJXPT09O4fPkyb6UhPDwc6enpaoNgTQIomjAxMYFz586pJYHV1dUs4RGKoqIigvSIxWJiON/MzAyZmZk4d+4cu0wqleLKlSv44osv2Ju7lZUV4uPjER8fj97eXlYURVV7Ix/u3LmDly9fwszMDEZGRsTD0NAQRkZGcHR0xOLFizWKvfAROTc3N6xdu1ajP5gqMgf8l9ri5OQkMVvHCOHs27eP/a41ed/Z2dlh/fr1uHTpErHdly5dwpdffkm8rzoyB8zt/61bt+LUqVPEZ799+zZsbGx4jXqnpqao+UBV2XQhEIlESExMZM3FhaC1tXXe7/eXhoGBAUHgVAW6dXV11HnLqA4aGhryErqJiQm1hK6kpIRaZ3Jy8rw+h0KhQE9PD1paWtDZ2flJ53P/2iGTydDW1sZ+dyKRCI6OjliwYAFbvTMzM4OZmRkSExOJzoLW1lai/RKYSwoIqcpxERISAhMTE2RnZxMJiY6ODtYD0srKilcEhYFCocC9e/eodmkzMzPs3LlTrX8fV0mUz6KEi8bGRl5BG2VYWFhg+fLl8PLyUms7oVAoKDKXkJCA4uJiguAy83Patsvq8MOGjszpoMP3CMXFxVSLobm5udqMoSZwZc355uaGh4dx/vx53sxfSkqKSvUwZXxMm6VUKkV2djZFjEQiEREI9PX1oba2Vq3CojL6+/spX6OIiAhqhsLX1xfR0dFEC0tPTw/y8vKQlpZGrdfe3h7JyclISkpCV1cXqqur8ebNG0Fta5oyuvOBqakpVq5cidDQUEFEV1WbJQM9PT1s3boVJ0+eJIKWDx8+4MKFC9i5cyf09fVVtlkqY9GiRYiNjSUqGkNDQ8jJycH27dvZ7dVE5oC5eanPPvuMUrjMzs7GF198QZlDNzQ0UFLo2ihJKkOhULDHX21t7bzW8UOCra0tvvrqK40tdgCoc8zT05M4x7QldKpmXPnmNvkgk8nQ1dWFlpYWtLa2orW1dV6dAt9XiMVimJiYwNTUlH1wn4vFYly/fl1wBdLGxkZQYkqhUKC7uxvd3d3s9dLGxgYLFixg5feVwa0ER0VFafTIVAUfHx/s2bMH586dIxJS/f39LKFT5zVXUlJCtSkK9e/jJshGR0cxPj7O+1lmZ2eRl5ensiVSGfr6+ggJCdF4no2OjlLHcEREBExNTQl/vMnJSVy+fBn79u2bVweCDj9M6MicDjp8T1BfX0+11+nr62P79u0fpVLl7u5OBNLt7e2srDIwl2E8d+4cFZhLJBJs2LBBMHHiEoLp6WmNstCA6mqks7Mz9u3bh2PHjhEks6ioiJVz1oSHDx9SsxrKvkbKSE1NRXNzMzGXVVZWBm9vb/j5+fH+j0gkYuXNV61ahZaWFrx+/Ro1NTUfNZsjFCKRCNHR0UhKSlLZ/soHdZU5BkwAfuzYMSLIa2lpwdWrV7F582ZBZA6Y8wTr7OwkqlQNDQ14/Pgxli1bBkAYmQOgUeFSeT9wWyy9vLwEK2ACc8dmV1cXS+CE+lZpA0NDQxgbG2t8GBgY4NSpUyrXY29vj3379gGYI7hMWyXf78xPphrPh/7+frx9+xaLFi1Su/1DQ0OUByafF5g2hE7VjKsqzM7Oor29Ha2trWhpaUF7e/snaWV1dHSEQqFgryHM7x/7XNPsm4GBAUJDQ1USNSMjI7XXv+HhYZw9e5YichKJBFlZWXj+/DlRsTY1NcXBgwcxMzPD7sPW1lZ8+PBBkIrpwMAAr8gJF/OtyimD8YA8ffo0YbszOjqK48ePIzU1lXj92NgYpqam0NDQQM2Bi8VibN26VZB/n62tLfT19Ynjqquri0oOdXV1qTSpNzY2hr29PXEd7O/vx6NHjzTOunETrQYGBrC0tERMTAxaW1uJBFN7ezvy8vI0zhPr8NcDHZnTQYfvAbq7u3HlyhVq+YYNGzS2zGmCOvPw+vp6XLlyhQp8TExMsG3bNri7uwt+Hz5CMD09rVZsBZgL3LgzFUw10sDAAMuWLSPa9Hp6elBfX6+xXa67u5syaI2JiVFJjBmRiyNHjhBtWNevX8dXX32lkVCLRCJ4enrC09MTaWlp+Pd//3e1r/8U+Oqrr+ZtAq8MVd+Rqakpdu3ahWPHjhHEra6uDrdu3RJM5iQSCTZt2oRDhw4RAWZhYSHc3Nzg6elJHYPq1AL5FC77+vpw5coVVuFSKpVSLcNCWizlcjna29tZAseVxdcGAQEBcHBwIEiZiYkJ+7uRkZFg9bnq6mq1f+/t7UVJSYlWAgjq5lOB//IH5Eq+K4NblTM0NFSpFiqE0BkZGamdcQXmjt+2tjaWdHR0dMzLvFwdRCIRdu7c+cnl3mUyGY4fP65WDMXY2BgrV67UqJjJh56eHpw9e5YgOsBcsm3btm1sW6QymWNEj+Lj47Fo0SKWwE9NTaG9vZ3Yz6rmdIVgdnYWt2/fhqWlJfuwsrJi1SKFts8zHpBnzpwhSNPU1BRu3bpFvf758+eU9Qswpwytyl6CC7FYDEdHR6Kzpbu7myVzcrkcxcXFKCws5D0WfXx8WHXOY8eOEd9/cXExFi9erJZUcsmco6Mju7/WrVuH7u5uYs6+tLQUCxYs0Eq5V4cfLnRkTgcd/sIYGxvD+fPnqWA2JSXlk1yIVZmHNzU1sV5myrC1tcWOHTuoljVN4KsMTU1NqSVzb968ocQkmGok41EUGBgIe3t74qZdVFSk0SuMK/NvaGioMSvs4OCAVatWER5pExMTuH79Onbu3Ck42NAkV798+XJIpVJMTU1henoaU1NT1EPTXI9EIpl36xi3MqeuqmdtbY2dO3fixIkTREWBG8QDqskcMEfQN23ahFOnThHH3JUrV9iKkjLUBbLqFC5zc3OxZs0avH//nqr2+fv7865PJpOhubkZtbW1qKurE9yaZmJiotYfqru7G6tXr9bYwiUEXILj6uqK6elpoo3syZMnWomEqDKXZzAzM8OatPN9H3K5nKrGBAcHq20J10TobG1tqRnXqKgo1u+utbV13q3K1tbWbDtgYWGh2uq5QqFAdXU14uLi5vVeqpCfn69R1XJ4eBj5+fm8Ld7q0NraivPnz1PXBa41hru7O3x8fIhkx9OnTxEZGUlUro2MjODj48MSFqlUio6ODrZ1tbW1lTrHNEHVMcdUmhhyxyV7ZmZmROLDwsIC+/fvp9RS+SqJfIJFK1euREhIiFbb7uTkRJA5pgWdaRvnm49ljOSjoqLY+0dGRgYOHz7Mkj65XI4bN27giy++UJncUb7OAXNkjoGRkRE2b96Mo0ePEufO9evX4eTkpJVvoA4/TOjInA46/IUglUrR2tqK06dPU38LDQ396HYUZbi5uRE30Zs3b/K+zsPDA1u3btVYTeODvr4+r0m2qhtJe3s773B4VlYWUY1kRCeuXr3KLuvq6sK7d+9Uqna1tbVRSnBxcXGCPldkZCQaGxsJSfvGxkaUlpZi6dKlGv9fKpVSRu9cmJmZITIyUuN6pqen8ebNG0r2HZgjIOfPn8eBAwcoHzpNENJmqQwnJyds27YNZ86cUZuZ1zQL4+npiRUrVhAiCRMTEzh79iz1Wk3tkIzC5bfffkuQr2fPnsHe3p4KmBcsWEBs3+zsLN6/f4/a2lrU19cLJsbm5uYIDAxEYGAgFixYgF/84hcqiffQ0BCOHz+OPXv2ULM82qC7u5uyxoiLi4O1tTW+/fZbSgDhq6++0th2K5VKKduGtLQ0dHZ2EpXyvr4+3LhxA1lZWVQy4/3791QFSJ2yKAN1hI5LjuVyOb799luN6+SDvb09K9Lh4eHBJohu3rxJnQO+vr4wMTEhPntlZSWWLl2qtfCUKtTX11OzgKpQVlaG4OBgwZ6i9fX1uHz5MnUs2tnZYdeuXZQgRnJyMkHmJicn8ezZM7btmQ96enrsvgTmvpsPHz6wrZkfM0s6MzOD3t5eld5sYrEYFhYWFNmLj4/HgwcPtGqBjomJmRdJ53bJdHd3o7KyEnfu3OEltc7OztiwYQN1fXZ0dERCQgLhodjV1YXS0lKV28WtzHE7MpydnbFmzRrcvn2bXTY9PY1Lly7hwIEDgmZfdfjhQvft6qDDXwidnZ28RA6YIw/ffPMN9PX1YWBgoPKnpmXM71wyx4eQkBCsW7du3kPTIpEIRkZGRDCmKkAeGhrChQsXqMBj1apVvNWTxYsX4+HDh8TsVlFREXx8fKhAS6FQUF5tJiYmiI2NFfw51q1bhz/96U9EG2FeXh48PT01tr2WlJRQthJcPH36FEuWLFHbYqenpwc9PT21me+pqSmcOXMGn3/+ORuoCoG2ZA6YI2JZWVm4dOmSyjkaIcdOfHw82tvbCSLB18oopMWMUbg8efIkQTL5Wq0CAgIwPT2NhoYG1NbWoqGhQfBclbW1NUvgXF1d2WNOoVBorKCOjIzgxIkT2LNnj9akm0F5eTnx3MzMDP7+/pBIJFixYgUxazs8PIw7d+5g48aNatfZ2NhIHVuBgYEIDw9Hd3c3ETy+efMGbm5u1DnErc46OTkJbgtXRejmC5FIBGdnZ5a8LViwgFed8OXLl4QfGjD3/W7YsIENzhn09PTgw4cPgmaqNGFoaEijsiEXN27cwMGDBzWeVy9fvsStW7eo89LNzQ3bt2/n3Q8uLi7w9/cnzsPi4mJERUUJTuaJxWI4OzvDxsZGkEH2x0Aul2NoaAhDQ0MftR5ra2tERERgeHgY+vr67EMIYece2wMDA7zfqUgkQnx8PJKSklR+d4mJiaipqSEq64WFhQgICKC6YqRSKfE6gKzMMYiIiEBrayvRkt3V1YX79+8jPT1d4+fT4YcLHZnTQYe/ABQKBY4fP67y72NjY9Q80neJpKQkLFu27KMz0ELI3PT0NM6fP0+1skVERKgkXGKxGAkJCYQcPNMqyp15eP/+PSWmkpiYqNX8iYmJCTZs2ECQbblcjitXruDLL79Uua7h4WE8fvyYWObm5obk5GRiXYxnnRADeE0tZSMjIzh37hxhGaAOcrmcEmAQKp4SGBiI9PR0XrIEAL/85S9hY2MDa2tr6mFmZsaaKGdmZuLw4cMqSS9jbi0E7u7uyMjI0Bgov3r1Cvn5+YJnfhwcHFgC5+DgwHtu8BG5zz//HDdv3iTaosbGxnDixAns3r1ba2IwNTVFebhFRESw+2fp0qV49+4d4YFVXV0NX19ftccXN7mzYMECdj5sy5YtOHz4MHGcPHjwAM7OzmxVZnx8nJq54xM+UYWRkRE0NDTMO3kkkUjg6upK+J9pquZ2dHQQLdTAfym3Ghsbw9PTE5aWlkRyobKy8qPJnEwmw+XLl7Vui+7t7cWTJ08IKxVlKBQKPH78mGopBwA/Pz9s2rRJbctrcnIyQeamp6dRUlKCFStWCN7GxsZG3Lx5U6vZUqbaODw8PG/j+vlicHAQf/zjH6nlEomEJXZ6enoE0WOWCZlvtbKywoYNG7BgwQK1r9PT08O6detw7NgxdplUKsXNmzexZ88e4nrT19dHzeHxzUqLRCJ89tln6OrqIshfeXk5PDw8EBQUpHH7dfhhQkfmdNDhL4DvQhVvvvDw8EBsbOwnaSXiZnS5FSC5XI7Lly9T/f9eXl5IS0tTuw0hISEoKioiMrNFRUUEmVMoFNR8hIWFhcaWRj54eXkhLi6OUE3s7+/H/fv3kZGRwfs/Dx48oKo9a9euhZOTE1xcXNDZ2ckuf/r0KYKCgjTud66f0erVq/H69WuijfDDhw/Izs7Gzp07NQbHfAGlNm21EREReP78Oa+Nxfj4OMbHx3krLXp6erC2toaNjQ2srKzg6empksypIstyuRxSqRSzs7PEw8rKCo6OjmpNdYVUDlxdXREQEIDAwEBBbZF8lT1LS0vs3bsXZ86cIb47ZiZs9+7dgiX2AaCqqopSdlRuZRSLxcjMzMQ333xDfLe3b9+Gu7s777weX4ulsmqljY0NNm7ciPPnz7PLmHP3yy+/hLm5OaqqqijbB3XkUaFQoLOzE2/fvsXbt2+1nnszMDCAu7s7W3lzdXXVqnVsfHwc2dnZFJlft24dW+UQiUQICQkhEjLV1dVITU0VLFTDh7y8PKrtd/HixZDL5URrYmJiIhoaGoh9w6j3cqu6crkcd+/epaq2wJzia0ZGhsZt5vO0fPbsGWJjY9V6rgFzxC83N5eqcgqBTCZjW/9kMhlGRkYwPDyMoaEh9ufIyAj7/GNEV7TZJplM9lEWFqGhoUhLSxOsmOvu7o6oqChiHra5uRmvXr0iznHudc3KykplAs7AwACbN2+mhLxu3rwJJycntWJGOvxwoSNzOujwZ4ZCoeCdgfpLoaWlBb/85S+xePFihIeHY8GCBfMmdpq85u7du0cpDNrZ2WHz5s0aSYhEIkF8fDwxE9DS0oKWlha2WlBXV0cQJmBObGS+8wIrVqxAU1MTEZS/fPkS3t7elGR7c3MzZfS9ZMkStjUnISEB2dnZ7N8+fPiAhoYGlbYHwFzAxPV+WrBgAUJCQnD06FHib01NTbh+/To2bNig9vv7GDKnUCjw6NEjtaRJFaRSqdqZGO42/ulPf6KI26cO6kQiEav4FhAQoLXRLl9lTl9fH0ZGRtizZw/Onj1LCCZMTU3h1KlT2LlzpyClWIVCQQmfBAQEUC21lpaWSE9PJxRxp6enkZOTg71791JB/fv376nqLPd49vPzQ2JiIkFsxsbGcPnyZezZs4dqsVy0aBF1HE1PT+P9+/d4+/YtGhoaBAvLKMPIyIitaM6XUDFElDvfFxMTQxFQLpkbHx9HY2OjyvlcTairqyOsYYA5spyRkUGo9AJzn3XdunU4cuQI2zIpl8tx8+ZN7N+/nz2vpVIprl69yjujlpCQgBUrVgi+hi9fvhw1NTXs+83MzODp06eUxL8y3r17h5s3b1L7UxWsra2JxE1XVxfu3r2LjIwMSCQStnrPB4VCgfHxcYLsMQ/m+ffFQ7C5uRmPHz9GSEiIYJXhlJQU1NfXE/syNzcXvr6+bKWcT8lSHRwcHJCenk74cc7MzODSpUv44osv5u1Zq8P3Fzoyp4MOf2Y8f/6c8mXig6urK8LDwzE7O4uZmRn2J/M797ny75rmeLiQSqWorKxEZWUlbGxsEBYWhtDQUK3msAD1ZO7Zs2dUYGpiYoIdO3YIbvMLCwvD48ePiRvf48eP4eHhAblcTrUbMZ9lvmB8mQ4dOkRUR27evAlXV1c2+Gey5MowMjIiZOIDAgJgZ2dHtL88ffpULZnjVi/EYjEcHBygp6eHXbt24ejRo0SAXF1dDXNzc7WBGLdaKpFIBJHdmZkZXLt27c9mmM2t3n4qiMVieHl5ITAwEP7+/vM2MAb4K3NMoGRkZIRdu3bh/PnzRNvv9PQ0Tp8+jR07dsDT01Pt+ltaWqhZGVVV5qCgIDQ0NBAtma2trSguLkZCQgLxWnUtlspISkpCZ2cnoc7a2tqKkydPUqScabEcHBxkyVtzc/NHE/CpqSlMTEx8dGVMuQ0VmOtI4DtP7Ozs4OrqSlTSKisr50XmBgcHiYAamDvfNm/eDENDQ15vRWdnZyxdupToCGhra0N5eTmioqIwNTWFCxcuUK3kALBmzRrExMRotY329vYIDg4mjpuysjIsXbqUUqedmppCbm4ur5ItALZNVXnu0NLSEgcPHsSRI0eIjpSXL19iwYIFCA0NVbt9IpEIZmZmMDMz4zUlB4AXL16obP3mgivS9SkxPDyMp0+f4unTp3BwcEBwcDCCg4PVJokMDQ3x2Wef4dy5c+yy6elp3LlzB1u3bgVAXwuFEMWwsDC0tLQQarM9PT24c+cO1q9fr+Un0+H7Dh2Z00GHPyP6+/spY3ALCwt4eXlREt8dHR1sdlzbStnQ0BDOnDkzr3bOgYEBFBQUoLCwED4+PggPD4efn5+g2RZVZO7t27e4f/8+8TeJRIJt27ZpJZusp6eHuLg4Qi2ysbERHR0d6OvrowLM5OTkjwoCgTmrhrS0NGJeb2pqCjk5OdizZw/EYjHKy8upG25ycjLRqsQMxSsHd4y8t6r5Ci6Zs7e3Z4mXtbU1duzYgRMnThCkori4GObm5irnD/nETzQdX8PDw7hw4YKg1rhVq1ZhaGgIg4OD7OPP0SYlBHp6evjbv/3bT+YdxiVzIpGION4YkY8LFy4QCZzZ2VmcPXsW27Ztg7e3t8r1c5Mftra2WLhwocrXp6WloaWlhZhfKiwshJeXF9vaKZVKqVk3VcbgjAXE4cOHiXXytdG+e/cOd+/e1UoIg5G+VygUVFVbGVevXsWXX345L4uHN2/eUAqSjE2GqmtaaGgoQebq6uowNTUlOOkEqJ6TW7NmDTuDx0fmgDkSXVtbS1Sz8vLy4OzsjFu3blGVGolEgg0bNmDx4sWCt08Zy5cvR3V1NVudk0qlePz4MWGN0NDQgFu3bvFW4/T19ZGamorIyEgcOnSI+FtgYCAMDQ2xZcsWfPvtt8Q5c+vWLTg5OWmsNKnC5OQk7ty5Q/mJqoJIJMKPfvQjODg4EBV/bgcAXys3V1RLE3p6epCfn4/8/HwsWLAAwcHBWLRoEW/7qq+vL0JCQghCXVdXh5qaGixatEjryhyDtWvXorOzk7g3VVRUwMPD46OSnDp8//BxUY4OOuggGHK5HNevX6cCwPXr12PdunW8ktCFhYXIy8tTqR7Ih+bmZioLOh8oFAo0NDQgOzsbv/71r3H//n2NgRofmfvw4QOuXLlCfYb169drZUrOYMmSJVQ1pbCwkDKFZeZBPgXCwsKodbW0tODp06cYHx+nKoIODg68FZTg4GCq2vnkyROV78slT1w1NRcXF2zZsoUirPfv31cZHGvjMQfMBe5HjhyhtkUkEvEO1Lu4uCAtLQ07duzA3/zN3+Bf/uVf8Hd/93fYu3cv1q1bh8TERAQFBRGqkB8DPT09GBsbC6oiS6VSnD59+pNV/bgVcD09PeozMb6J3MqOVCrF+fPnKQsNBqOjoxTpioyMVLvPjIyMsHHjRuI1crkcV69eZa87fC2W6vwsTUxMBLVBFxcXCyJydnZ2iIuLw759+/BP//RPyMrK0jhjNDk5iezsbK07Dnp6engrY1u2bFHribh48WLinJLJZBrVgLl48OAB1fIdFBSEiIgI9rkqMqevr0/N5c7MzODo0aNUYG9gYICdO3d+1LWOr4PhxYsXbAvj9evXce7cOV4it3DhQvzkJz9BVFQUBgcHqe0LCAgAMHdN/Oyzz4i/SaVSZGdnz6tNsqmpCd988w0vkbOwsMCePXvw4x//mPgeFQoFm5QzNDSEmZkZrK2tYW9vDxcXF3h4eMDHxwcBAQEIDg7GkiVLEBMT89FzZq2trbh9+zZ+9atf4fz583j9+jUVB6xevZoienfv3kV/fz8lhiaUzOnr62Pz5s3UDPLt27e/s84HHf4y0FXmdNDhz4Ti4mIqox0VFcUKeCQnJ8PAwICq3BUXF2NmZgZr165VG8gpFAo8e/YMubm5FHHS19dHZmYmLC0tKc+mdevWYWJiAq9evVJJACcmJlBaWorS0lK4ubkhLCwMQUFBVBDGnZnp7e3FuXPnqKAlKSlJkJIjH/T19REXF4cHDx6wy/hMurWZG9EERiWsvb2dqnq8efOGCkbS0tJ4K4ISiQRLly4lqpQNDQ348OED7w2aK37Cp6rn4+ODjIwMKmjNycmBqakp1crH3VZ183IVFRW4desWVVkzMjLCpk2b4OXlha6uLuK4YTK/DEQiEWtcr7wtcrkc586dU2uwvnTpUnh5eVHKcnyS4sPDw/j66681Bvy9vb04cuQI0tLSEB4e/lHHCDcgUzWLwigmXrlyhWhTlclkuHjxIrKysqjq2MuXL4l2MD09PUHZ9AULFiAhIYGY+2KEez777DOKlLi7u2skws7OzggODqa6B4RALBbD09MTvr6+8PPzo2TXFQoFcQwNDAABAABJREFUNUe7cuVKtLe3E2RWec5KCKampnDx4kXqO0pLS9Po3WZiYgI/Pz/i/SsrKwV56AFAbW0tnj17RiyzsbHBZ599RhxvqsgcMEeSwsLCNO5zNzc31kidsaMxNDRkf1d+zniB8mHZsmWorKxkjzmZTIbf/OY3MDc351WcNDAwQGpqKiIiItjPxG3BNjU1JRJ2ISEhbMsog4GBAdy4cQObN28WdC5KpVLk5+dTc4gMgoODsXbtWjZJlZiYiEePHrF/7+rqQklJiWAf18HBQUopl69VUyQSITY2Fm/evFE5SyiXy1kBIAMDA5Y0enl5wcTEBGvWrCH8VMfGxnDmzBliHXp6etQ5pA52dnb47LPPiPUyJFqdMrMOPyzoyJwOOvwZ8OHDB6pyZGNjg5UrVxLL4uPjYWBgQMlnl5eXY3Z2FuvWreO9Gc/OzuLWrVuUhDnzPlu3boWDgwMUCgWcnZ0JklBXV4ft27cjLi4O7e3tePXqFW/mkEF7ezva29tx//59LFq0iBBN4VZ5+IQygoOD1RrTCkFkZCSePHlCVZkYuLu7z1uwQBWYqseJEydYsqxQKKjPGBQUpHYWasmSJSgqKiK2/enTp5QvGCMYogxVEulhYWEYGRkhKoQMUdi/fz8xYyHEY04ul+PBgwe8AZOtrS22b9/Oqj2GhYURLUhv3rxBWlqaxiDhwYMHaokcMHespaamCgry8vPzBVduGAnwpqYmfPbZZ4LV57gQSuaAOSK/adMm5OTkENUERpxjw4YNbIJDLpfjxYsXxP8HBwcLbvNbvnw5GhsbicrQixcv4O3trVbFUhlDQ0N49+4d3r9/z1vNUwcTExOWvHl7e6vdvz09PVTw6+fnh4iICPT09BAiPy9fvoSbm5tGCwSFQoGcnBxKPCg8PFwwIQsNDSXIXGtrKwYGBjQG0prm5JTB3afcc2bVqlUayRzz/QiFsgcpl/jxzZLxETkvLy9kZGRQba/cSrK/vz91v1q9ejU6OzuJY7O2thYlJSUajby7u7uRk5PDW1UyMjJCeno61S2QkJCAmpoa4lr68OFDBAYGavwupVIpLl++TH1PzPUtJyeHXaZQKNg5zJaWFlRXV6OmpkZl1XFmZgZVVVWoqqqCqakpFi9ejODgYPj6+qKhoYF9HddXz97eXuvRgeDgYLS2thIkur+/H7du3dIomKXDDwM6MqeDDt8xZDIZrl27RlQ3GK8tvoA3KioK+vr6uHHjBlFhq6ysxOzsLDZu3Ei0PA0NDeHixYu880y+vr7YuHEjGwSKRCJEREQQw+Jv377F0NAQrKys4O7uDnd3d6xZswZv3rzBq1evVBr6zs7OEqIp4eHhGoU03N3dsW7dOsE3D4VCwcpFT09PY3p6mv3d2NhYJZmbmZlh5+q4VUq+llVNr1F+rq7llZkdUQcDAwPExMQQ5P7169dITk4m5gd7enqo4Eqd31ViYiJGRkYIEjA1NYWzZ88SpuKayNzU1BSuXLlCVUsAwNvbG5s2bSJIRWhoKAoKCtj9Mjs7i5qaGrVVpFevXlFE0dTUFCEhIcR8U1tbG+rr69lWLVVob28njHK5CAwMxMDAAEW8X79+jc7OTmzatEmw2bUy+Nos1UEsFmPDhg3Q09MjgnSFQoGrV69CKpUiPDwc9fX1VBAdFRUleLskEgk2btxICfcoq6kyYMjczMwMmpqa0NjYiMbGRooICcXWrVvh5+cnOOBUDlyBOdl1Ozs7iEQibN26lZqzun37tkZz8qKiIqp91cXFRWN3gzJ8fX2pa0xVVRWSkpJU/o+64J977jI2G8rgkr3vQnWQmQGbj7KogYEBVq1ahSVLllD7cXR0lFBuBfjbd/X09LB582YcPnyY2Ld5eXmsbyAXcrkcJSUlKCws5J2/XbhwITIzM3krzHp6esjIyBDk58aFulZZRtlX+Tx59OgR/Pz84OnpCU9PT6SlpeHdu3d4/fo16uvrVSabxsfHUVZWhrKyMo3tzPOdL1y9ejU6OjqIRG51dTU8PDyI1l8dfpjQkTkddPiOUVRURBGtpUuXqp0XCwsLg76+Pq5evUoE9DU1NZidncXmzZuhr6+PpqYmXLp0iZfULFu2DElJSdTNKjg4GLm5uUSLz8uXLwmjWAMDA4SHhyM8PBx9fX149eoVKisrVQYAAwMDggbElyxZgtraWoKUKT+4y6ampualPPbhw4d5yed/LFxdXQXNbkVHR7Pts8BcMP/06VNipoTbYmljY6O2wiESibB27VqMjY0R1ZeRkRGcPXsW+/fvh5GREZUpViZm/f39OH/+PG+7bWxsLK/flrm5OXx8fIigvKKiQiWZa21tpZTnJBIJtm7dCmdnZ9TW1hLZ6Pz8fLXkQKFQUOI6XBgYGOCLL77A/fv3KV+ugYEBHD16FKmpqYiOjtYqS61NZY6BWCzGunXrIJFIqOrbjRs3eAVK3NzctCabtra2WL16tVqVP4lEgsrKSjQ2NqKtre2TqPzl5OQgISEBsbGxgvYHl8z5+Piw34GDgwMyMjKIFjGZTMa2iPFVlRsaGqguCBMTE2zZskUrixKJRIKgoCBChKaqqgrLly9XeYzwBf/M7BUXfJ0P3OTe98nCxtvbGxkZGSqVGbnHrKGhoUqxHisrK2zcuBFnz55llykUCly+fBkHDx4k5hmHhoZw7do1XvVOiUSClStXIiYmRu156+7ujujoaJSVlbHL+PzclFFTU0O8Hpg7p5hWWZFIhGXLlhEtmF1dXYTdjJ6eHgICAhAQEIDp6WnU1tbi9evXeP/+vcqkoCaxqPmSOYZEHzp0iEg23L17Fy4uLvNKZunw/YFOAEUHHb5DdHR0ELMrwFybRHJyssb/Xbx4MbZu3Upl6hoaGnDo0CE8fPgQp0+fpoicgYEBtm7diuTkZN4bnIGBAUJCQohlr169UnkTsbOzQ2pqKv7u7/4O27Ztg7+//7zbMq5fv46rV6/i9u3byM/Px5MnT/D8+XNUVVWhvr4eLS0t6O7uxuDgICYmJr4zCenvCs3NzTh9+jQV0HFhbGxMZUMrKiqIQXdN4id8EIvFyMrKomaCenp6cPHiRUilUpWVucbGRnz77bcUkWPIx+rVq1USKq68eEtLC68h+PDwMLKzs6nvNT09He7u7tDT0yOSCgDYZIIqvH79mqoIcIUExsbGoKenh/T0dN52N5lMhnv37iE7O1tltZcP8yFzwBzxTk9P55WRv3PnDtU2p63pvVwux8zMDPz9/dUGfzKZDAUFBWhpaRF0rgmRRJ+ZmUFBQQG+/vprVFVVqa1kT05OUpV/rlVHcHAwoqOjiWVDQ0PIycmh1j0wMEAQP2BuX2/atElrD0GAPq4HBwdVdirU1tbyBv/p6em810vuvBxAkrmXL19qNOSOjIxESEgIAgIC4OXlBTc3N9jb28PS0hLGxsaCFIiFYufOnWr3IXdeTpMCso+PD9VuPzY2hitXrkAul0OhUKCqqgrffPMNL5FzdHTEl19+idjYWEH3oxUrVlDbn5uby9tGOjAwQLXKMmRI+doRHBxMtWo+evSI95g3NDREWFgYdu3ahb//+7/HmjVrVFotqENRUREKCwvx/Plz1NXVsXPcQlrMra2tKVsCmUyGS5cufW+8+nSYH3SVOR10+I4wOzuLa9euERd25TYrdZDJZJiZmYGDgwNWrlxJVR76+/uJoW4Gtra22Lp1K+zt7dWuPzIykqhQMNUcVfMzwFwW1N/fH/7+/hgbG0NlZaVa0ZT/rmBmWIKCgpCcnKxyLiM2NhbPnj0jBAdKS0vZOUoumVPXYqkMRj3x2LFjxHfT3NyMa9eu8apZPnv2DPfv36eCEFNTU2zZskWldQIDf39/qiWtoqKCSFrMzMzgwoULVHU3NjaWmIEKCgpCSUkJUZl8+PAhgoODqcrF7OwsJRhkY2ODuLg4oiKlHLAtWrQIzs7OuHLlCiE/D8xVF7q6upCVlSVIaVXbNktliEQirF69Gvr6+moVTYG5SvO9e/couXRlD0qutPqngImJCby8vODt7Q1vb2+Ym5vj3bt3REUFmDvmuMR2ZGQEOTk5ePbsGVavXs17DDU2NhLHnJ6eHu+86apVq9DZ2UmQ9oaGBhQVFWH58uUA5o6vixcvUkHpypUr1do5qIOLiwvlDVlZWUl9Fr45Ob7gXxnqyFxnZyc1N82FWCxGbGwsO7uqCsy9ZHp6mvUiZZ5PTU2hoKCAUkvkQ2dnp0ryMTk5Sfn4qVNIZbB8+XJ0dHQQs7PNzc3IycnhrVAziI+PR1JSklbnm6GhIdLT0yk/t7t372LLli3sMqlUikuXLlHfT1paGpUYEYvFSExMJL77zs5OvHv3Tu3MtpmZGWJiYhATE4P+/n68fv0a1dXVgu6lk5OTKCoq4v2bsbExzMzMYG5uznrzcX/38vJCTEwMIdAzODiInJwcZGVl6QRRfqDQkTkddPgOMDw8jN/85jfUcj09PdTW1uLVq1fsDZWvzXA+wZi/vz8yMzMFiSQ4OjrC3d2dyDKXl5erJXPKMDMzQ3x8POLi4tDW1oZXr17hzZs3KkVTPhUkEolWnmWBgYG8Pmp8mVwhr+Fm3tXh9evXqKmpQUREBJYvX07ZKVhYWCA0NJSoOpWXlyMhIQEGBgbzqswxMDExwc6dOylTcT67gry8PN7jzdHREdu3bxdU0dDT06Na0iorK9k2X4VCgevXr1Ofydvbm5oxFIlEWLlyJU6fPs0uGxsbQ2lpKZXJLykpocQzUlNTqQoZN1i1trbG/v37UVBQQJgzA3Pn7vHjx7FixQrEx8erzfrPtzLHQCQSYcWKFdDT06NaA5XB9Un7riAWi+Hu7s6SN2dnZ+rz8yUnvvjiC5SUlPCKdXR2duL48eMIDAzEypUrif/ntlh6enry7kNGQOTw4cPE8fzw4UO4urrC29sbN2/epIQxFi9ejKVLlwr67HwQiUQICQlBQUEBu4wR+GGIBBP8883JqauKcsmCWCyGRCLBxMQEsrOzqetcamoqCgsL2XNVLpejoKAAmzdvVvsZJBIJjI2NqZbU/v5+5OTkCCJywNx1QtWMWX19PUXK1fknMmB8DA8dOkScx6p84ywtLbFhwwbeuToh8PX1RXBwMDFfW1tbi9raWpZ83rt3j7pOhYSEqBTdCQkJQVFREdGJ8OjRI6JdWB1sbW2xfPlyLFu2DF1dXaiurlap1KkJk5OTmJyc1GgRwlcxffv2LX7xi1/gRz/6EetJqcMPBzoyp4MOnxjj4+O8RA6Yu4Fz2y4/BYyMjHj9xtQhMjKSIHNNTU3o7+/XmOlVhkgkwoIFC7BgwQJ4enpSEs7KMDQ0hKGhIYyMjNjflR/Ky7mvYZ4PDAzg5MmTmJiYELR9fX192LNnj1pPKSGQy+WEabg2//f8+XNUVlZi6dKlWLp0KZGpj4+PJ8jc9PQ0nj9/joCAAIpgCa3MMbC2tsbOnTtx4sQJ3ioAAz4iFxgYqFKgRxXCw8MJMjc8PIympiZ4eXmhqKiIksS3tbXFpk2beI9ZphqknLF/+vQpIiMj2RbK0dFRqqLl6ekJf39/KqifmJiATCYjghiJRILU1FT2uFU+phQKBfLz89Hc3IzMzEyVx8/HkjlgziqBryX1zwmGLHl6empU9rS0tGQJOoPZ2VmsX78eMTExuH//PlWlAeaC5vr6esTExCAxMRFGRkaUyI66aoaFhQU2bdqEU6dOEe995coVhIaGUgTA3t5eK7ElVeCSuenpadTX17O+bg8ePKDmW4ODgzUqbvLZEsjlcly5coWwPwGAmJgYxMXFYWJiAk+fPmWX19TUoL29XaPVgjIUCgVevHiB3Nxc3uSbi4sLNmzYgLdv3xL2L83NzXj//j0vSeNW0Hx8fARfOxgfw6NHj2p8rYODA969e4e+vj5YWVnBysoKlpaWWlXo1qxZg8bGRuJ8v3PnDhYuXIiGhgZqjtXOzk5lqywwR0iXLVtGVOeYaqOPj4/g7RKJRHBxccHo6Chevnyp9pr9sVCXED1y5Aj+9//+31orZurwl4WOzOmgwyeGNjM3nwpTU1O4cOEC1q9fT1WAVGHRokW4d+8esb0vXrzAqlWrtH5/Zk5GFby9vbFr1y6t16uMnp4erYgcMBcoHz9+HHv27JnXzAzwX2qk3GCRG9ACcySko6ODytLPzMzg0aNHKC8vx7JlyxAREQGJRAJbW1ssWrSIIDrPnj3jreIJ/V6V4ezsjC1btuDcuXOC5w+XL1+uVuRBFZycnODg4EAQqYqKCkxNTVFVJ0NDQ2zbtk1tFXnlypUEmZuZmUFRURHWrFkDYE4Yhc94VyQSwdzcnFrf+Pg4rziNr68vvvrqK1y9epUiIY2NjTh06BA2bNjA+kEqY75tlgqFAk1NTSgpKeFVDf1zQyaT4dmzZ3BwcNBI5iQSCaysrAgCOjAwAFdXVzg5OWHPnj0sEeC2jTGqhBUVFfDx8aHOZU12Ip6enkhJSSFaa6empihPN0NDQ2zduvWTtIxZWlpi4cKFaGpqYpdVVVVh8eLFGkUy1IHPlqCwsJCal2Tk7oE5mf2XL19SKpB79+4VdL6Ojo7ixo0bvMecSCRCYmIili1bBolEAktLS5SWlhItyvn5+fDy8qK88rgWI5rUZ5XR29tLVcdVoaGhgarmAnMiTMrkzsrKCtbW1rCysoKFhQVxXqryc7tw4QJFylWZbnOhqjrn7e0t+DrKVFqVybo66OnpwdTUFGNjY1p1qwjB1NQUNXesw/cbOjKngw6fGH/4wx8++TqVK1R8HjvA3I3um2++wcaNGwXNiDAmxMotXBUVFWzblzZ4+PChSqNUAKzcuZDWGz709vbi1KlTGomcq6srxsbGiMz2wMAATpw4gT179hDS/0Igk8koo2dgLhu7adMmPHnyhBA78fX1xaZNm/D48WOUlZVRN9nx8XHcvXsXpaWlWLFiBRYvXsz6IHFfowxtq3LK8Pb2xmeffSaossi01nV2dsLU1BRmZmaCjwWRSISwsDDk5uayy6qrqynLAEaQws7OTu36nJycEBISQngnPn/+HDExMZicnERlZSXx+iVLlrD7ydjYmDL2HR0dVak0am5ujt27d6OoqAhFRUUESR8bG8Pp06eRmJiIpKQkImPNJZNCZmFrampQXFzMayWiCgsXLoSlpSVrlM4YQAt5/ujRI6JiqgpNTU3405/+hJSUFI2qnjY2NkTgqvy7SCSCv78/fHx8UF5ejkePHlEJrsnJSV4ricbGRkilUkilUnb2j/nJ/C6kldvDwwODg4OQy+WwtLT8aFIXEhJCkLmGhga0tbVR5xQzJyfk/biVl5GREarSbGZmhk2bNrEVZSMjIyQmJhLnWEtLC6GgqAo1NTW4desWb7LRxsYGGzZsICp8+vr6SEpKws2bN9llXV1dqK2tJdrx3717RyQ1xGKxxm0B5q7Ljx494vVG1Rajo6MYHR1VKU6jTPYYwse9PvCJrKxdu1aQ6A8zO6d8PLS3t6usZHLBCL/wVbRVwcLCgjX9npqawujoKMbGxtifzEN5udBqX0VFhUbPPx2+X9CROR10+ITgyxqqQkxMDIyNjTW2HOrr6xOB1alTp4jAQhljY2M4deoUEhISkJycrLFVIiIigiBzk5OTqKmpodQu1aG7u5vq8Xdzc8PQ0BAxj5Gbm4uDBw9q3b7R29uLkydPUsIZ7u7usLGxIYJ6JycnJCYm4uTJk0SAOTQ0xBI6oW2kUqkU2dnZ1HcqkUiwZcsW+Pn5ob6+niBzvb29MDY2xqpVq1gvOb45osHBQVy5cgXFxcVYuXIl1VLIrfhoMy+nUCgwODiIjo4O9sHNOKsCQ7qVYWhoyBI7U1NT9sE8V/4ZEhKCvLw8tVXA1NRUwe1HycnJePPmDUuKmew1N3FgYGBAiK2IRCKYmZkRr9M0GyQWi5GUlARPT09cuXKFev3jx4/R0tKCrKwslhRyvydVbZbT09N4+fIlSktL1SY9VMHJyWleFfP+/n6qbUwdZmdnce/ePdTU1GDdunUqzxVuUoTPk04ikSAmJgYhISF4/PgxIfajCrdv3xa8rerw9u1bwmfO2NiYrdhYWFiwAT3zMDU1VUteAwMDcefOHZZIKhQKwreMwdq1awVLx2sKrMViMbZs2UK1+EZFReHZs2dEwiovLw8+Pj6819apqSncvXtXJWmKjIxEamoqLwENCwtDcXExUWEtKChAQEAA+17cRJenpyevZQSD4eFhFBUV4dWrV2qVTj8lNJE9PoSFhan1yuSCqc4p26o8fPiQqmRy0dLSgsuXL/Nen6ytrVW2YA8MDODmzZvIyspiZyI1Ec+ZmRmC5OXl5VGm5MDctS40NHRe3SA6/GWgI3M66PCJMDk5qdVcVVtbGzZs2KCxQsGFkHbBJ0+eoKWlBRs3boSVlZXK19na2sLLy4to7SkvLxdM5hQKBW7fvk3clCUSCTIzM9HS0kJkdXt6elBRUaHS14cP6ojczp07KcU3AwMDWFpaYv/+/Th16hShQjcyMsK2XGq66c3OzuLixYsUsdHT08O2bdvYbCtXNVR58NzS0hLr16/H0qVLkZ+fT5kYA3OZ7tOnT2uUEFdXmRsfH2eV/jo7O9HR0fFJW30ZcR4hJtL6+vpqA3YrKyt4e3tjfHycrZ6pg5WVFaKioohkAZ84QmJiIhX0mpubE8SJT4KcD56envjqq69w7do1qh2ttbUV33zzDTIzM+Hn56dxZm5kZATPnj3DixcvqLY6bfD8+XMsXbqUt31UFRQKBe7du6eRQFlYWFAEk/mcycnJiI2Npb4nrgiKupk/JrkRGRmJq1evUgqifw4wwhCqqqFMWyHfgyGAgYGBaqtIISEhWgX/msjc6tWreRVV9fT0kJycTMwn9/b2orKykprTYxRsuTN4wFzVb926dWpbW8ViMZKTk3H58mV2WX9/P3sdl0qlVLJLlYrl2NgYHj9+jBcvXsyrLTA6OhpisRhDQ0Ps47uU0x8YGEBJSQm8vb1hb2+vsV1SIpEgMTGRuOepq84pFAqUlJQgLy+PIrVisRirVq2Cu7s7jhw5ovI937x5Aw8PD0RFRQn6TAYGBrCxsWHP3+LiYl4yNzU1hby8PMrGQIfvL3RkTgcdPhHu3r0rWBkMmFN5O3ToEFJSUjSaniqD2yrm5uYGQ0NDini0tbXh0KFDyMjIUKtSGRERQZC5trY2fPjwQVCG+eXLl5THV0JCAmxtbWFtbY2ysjLCvLuwsBBBQUGC2pBUETk3Nzfs3LkThoaGVEDEzPuYm5tj3759OH36NPH+4+PjOHHiBHbv3q2y2jUzM4Pz589TLS/6+vrYsWMHIZ3OR+YUCgXxXTo4OGD79u1oaWlBXl4etb8AzUaxzLbOzs6iq6uLqLrx3Yz/UtDUAjc0NIQ//elP7HMTExOi2sd9bmpqisWLF6tVd7OyskJsbCy1nEvutDk3TU1NsWPHDhQXF6OgoIAgRJOTkzh//jxiY2OpYJJps/zw4QNKSkpQXV2tlkzZ2NggNjYWXV1dar30pFIpnjx5grS0NMGf4e3btxQZtbKyIo4XQ0ND/PjHP0ZeXh5VwZNKpXjw4AFqamqwfv164ljnkjlNRH96ehqvXr0izsXvE2QyGQYGBgQlLFQhNDQU/f39bFeFnp6e2mu6OjIXEhKiNkAPCQlBSUkJ77VVX18fUqkU+fn5Ks+bRYsWIT09XdBcFGPloVzdf/ToEdt6yk1S+Pv7E88Z0ZaysrKPssxoa2vDgQMHiFbmqakpDA8Ps+RucHCQeP4xZK+1tRWtra0A5u653t7e8PHxgZeXl8pZ39DQUDx+/Jg4xx49ekRV56ampnD9+nVe6wULCwts3rwZbm5uvMkHIyMj4nPdv38fbm5uWpt+9/f3q/VDraioQFhY2LyVQ3X480JH5nTQ4ROgpqaGdwaEC65ohlQqxf3791FXV4f169cLmuniVuakUikOHDiAkpIS5OfnE8Hj1NQULl26hIiICNbTigt/f3+YmZkRwW55eTnS09PVbsf4+Divx1dCQgKAuexiamoqzpw5w/59bGwMT58+1Wiaro7I7dq1iyVt3EBCWbzB1NQUe/fuxZkzZ4ib1uTkJE6ePIldu3ZRKnDT09M4e/Ys1Y5jaGiInTt3UplyboVvamoKY2NjvBUUDw8PHDhwAPX19cjPzyeqhppQVFSEzs5OfPjw4TttTXJxccHY2BjGx8c/+VA9HyYmJjAxMaFRSlsdUlNTeWfVuGROaGWOgUgkQnx8PDw8PHD58mWqusEXKLe3t+PMmTNUYoULNzc3xMXFwd/fn9crb+nSpWxrJoMXL14gLi5OUGWeua4ow8zMDLt27cLXX3/NLpuensbw8DA+++wzLF68GDdu3KCSAx0dHTh06BCWL1+OuLg4SCQS6jo1NjaGmZkZKkkjk8nw8uVLPHz4UOO8q6OjIzvnp6enx/5U/l1fXx8ymUyjIrCTkxNGRka0Ekv6WChbaQBzlRojIyOW3HF/V2U3YWdnp1FAhbHvUPb7Gx0dxbNnz+Dj44OrV6/ynlOGhoZYu3YtgoODBScPRSIRUlJSiOv4yMgInj9/Tr2Hu7s7e+2bmppCaWkpSkpKVBJXPT09REdHY2pqijjWLSws4OHhQdxTu7q6kJubi7Vr17LLmH2qKvE4NTVFVPKYR19fn1b+qCMjI3j16hVevXoFkUgENzc3ltw5OzuzlWuJRIKEhATC47KtrY1V9QXmxhIuXbrEmzjw8vLCxo0b2fZGvu9o/fr1uHjxIvucMf3+8ssvBdkSMeDrcOD6Rd6+fRsHDx78pObzOnw30JE5HXT4SIyNjREXb2DuJrNhwwacP3+eWL5+/Xo8fvyYupG0tLTgm2++wapVq7BkyRK1N1puMDc8PAyRSIS4uDh4eHjgypUrVNvTixcv0Nraik2bNlEERCKRIDw8nAiQqqqqVM5RMMjNzaUyn2vXriUCa+aGp1whKC4uRkREhEoxir6+PkFEDlBP5oC5Fq/du3fj3LlzBEGbnp7G6dOnsWPHDjbzODk5ibNnz1JtYEZGRti1axevYS4jSqF8A+zt7VXZDicSiRAQEAA/Pz+8evUKDx8+FFQxUg50hMLExARubm5wcXGBq6srRCIREZBxIZFIkJ6eDhcXFygUCkxPT7PEjvuTu+xTmVTPB6rauj6mMqcMNzc3HDx4EDdv3qTmg7jQNDMbEBCAuLg4IinAeE4yEIlErABJZWUlS6plMhmKioqQkZGhcZuLi4upa0BqaipsbW2p6lxrayscHR2xcOFC/PjHP0Z+fj6l0CiTyVBQUIDa2lqVs3SDg4NsUK1QKPD27Vvk5eUJTlp89dVXgl6Xk5Oj8TXLly9HQEAAZmZmMDIywlZrhoeHMTIyQvwuVOVVW8hkMvZc0QZ9fX341a9+RVSq+SrWZmZmsLe3JwhVfn4+8vPzedfr6emJzMzMean6enl5UYqeRUVFVCWe2edlZWV4+vSpysqYRCJBREQEEhISYGZmht///vfE3xcvXoykpCR0dXURx8/z58/h4eHB2kJogpGREZycnIg29ampKZw/f14rMqcMhUKBtrY2tLW14eHDhzA2NmZ9Gb29vREWFobHjx8TyZ9Hjx5h4cKFqKysxO3bt3mvl8uWLcPy5cuJlma+OMDf3x+xsbFEMmlwcBA3btzA5s2bBZF0hUJBJZ+joqJga2uLe/fusct6e3tRWlqK+Ph4jevU4S8LHZnTQYePgEKh4FUIS0tLg6+vL1XxmpycxMGDB5Gfn0/Jac/MzODWrVuor69HRkaGSkLAJUGTk5OYnZ2Fvr4+XF1dcfDgQdy6dYvKvPX29uLIkSNYvXo1IiIiiIt+REQEnjx5wlZ9ZmZmUF1djYiICN5taGpqouZHgoKCeGcDUlNT0djYyK5bKpWioKAAmZmZ1Gu1IXKAZjIH/BcZu3DhAhGMzMzM4MyZM9i2bRucnZ1x+vRpqq3F2NgYe/bsUTmzJhKJYG9vT1T+enp6eGXslSEWixEREYGQkBCUlpbi6dOnHzVTpa+vD2dnZ7i6urIPxg+MgTpTamAu+MzOzsaXX34JExMTNuutaaZToVBgZmYGr169oqpBXBgbG39y6w6ZTMZbmeOeP/Mlc8Dcdm/evBnl5eW4f/++VlVLRjU2NjaWIkFyuZwiTv7+/uyc65IlSwglyoqKCiQkJKit4A8PD1OVqwULFiA4OJj9XZnMtbW1sS19BgYGSEtLw+LFi3H9+nWqetDV1YUjR44gMTERJiYmROVrYGAAjo6O6OzsxIMHD1Qq84lEIlZSnQGfETkfqqqqqOuOm5sbxsfHCfL68OFD+Pv7w8DAAHZ2diqPYblczqrf8j2GhoY+6rycL7SZUxWCkJAQpKSkzNtvkzG3V/aC4yNqw8PD+N3vfqeSwDKKt8uXL2dJZUdHB5V4YFrxN2/ejCNHjhDk58aNG3B2dhZ8zChjdHQUZ8+eFdTuGxYWhvfv32sULJqcnMTr16/Z+62joyN1zLS2tuJ3v/sdb0u8sbExNm7cyCsKxTdTrFAosHLlSrS3txMt+7W1tSgrK0NMTIzGz9bd3U2R2eDgYLi6uqKiooK4Dz569AhBQUHztvbR4c8DHZnTQYePQGVlJerr64llgYGBbBuLj48PoWb47t07xMbGYs2aNQgICOAdTm9oaMAf//hHrF27FkFBQVSmje+iOjw8zAYshoaG2LhxI7y8vHD37l0ieyqVSnH79m00NTUhIyODbcuwtLSEr68vIdJRXl7OWyVk1qEMQ0NDrF69mncfOTg4YMmSJcRMTmVlJWJiYog+f4bIcYNuV1dXdkaOCyFkDpgLUrdv347s7GyiSiiVSlVWq0xNTQWJpXDJnDYtg/r6+khMTERERAQKCgoEKQ8yBFKZuDk4OGgUE+FWjWJjY6FQKIikwvDwMK5evYodO3YIVh0ViUTo6+tT6zMIzH3Wn/70pzA0NGTbK5nKBfeh/DdNQhHXrl1DVlYWdZx+bJslFyKRCFFRUXB3d8ehQ4c0vt7ExARRUVGIiopSqQrX0NBABbLKwVhiYiJevXrFBrNyuRxFRUVqhQlyc3OJ4FckEiEtLY3dP+7u7gQhYuaClLFgwQJ89dVXKCwsRGlpKdHaK5fL8ejRI+p/mpubUVdXp1YkxN/fHytXrqRk/YW0hw0ODvJed7KystDW1kb4hn348IGS0OeDWCyGhYUFLCwsqBZqmUyGhw8fUnYBP0Qok2Cmqsc8uM+Zh5GREXFOubm5ISAggHfOiwE3MaGM4OBgJCUlUSSMWyGysbFh7wsODg5Yu3YtcazMzMzg0qVL+Pzzz7Wy0BkYGMCZM2eo883IyAgrV66kumtCQ0Oxbt069PX14d27d2hsbERzc7PGRI4qoshH5FxcXLB582aVImV8VTaFQgGJRIJNmzbh0KFDRHIsNzcXbm5uvF0kyuDucysrK7i5uUEkEiE9PZ0g7bOzs7h//z62bNmidp06/GWhI3M66DBPDA8PEy0JwNyNMj09nb0I+/r6EmSuubmZnS3x9PTEj3/8Y9y/f58SP5iamsLVq1dRV1dHDaobGBhQQ9AjIyNE9lkkEiE8PBzu7u64fPkydYOpqalBR0cHsrKy2CAmMjKSIHPd3d3o7OykbgxcqWoAGrO+SUlJqK6uJgLz3Nxc7NmzhyUDqojcrl27VAZ7QskcMEcmtm7diitXrqgNSIC5qs6ePXsEKY2qU7QUCkNDQ41CJu7u7khJSYGzs7PWvlljY2PUsLufnx8WLFiAzs5OogW1sbERjx490jjXyGBgYADnzp2jWq5CQkJQXV3NEoHZ2Vk8e/YMycnJMDc3F6TMODMzg6NHj6r0VgTmFN2sra2RkpJCLOeuf3x8nBKn0RZTU1O8VhPKsLa2RlxcHEJDQ1VaFTDgVucdHR0JwQFzc3NERkYSLVWVlZWIj4/nPTabmpoIz0JgruquXFnmkham3ZBb8dfX18eqVauwaNEi3LhxQ+NxrS6Qd3Z2xqpVq1jxIG5iQROZY/weucQ+IyODVZt8/PgxsY0PHz4kJPS1AWMdoq3yJtPKKJPJMDU1pfIxPT39SfzV5gMmSaKpOiWRSCiCN599GRgYiKSkJN6kmFwux5s3b4hl3ARmWFgYWlpaCAua7u5u3L9/X+Nct/Lrz5w5Q1UMmTlSR0dHPH/+nNgnr1+/hqenJ+zt7WFvb4+lS5didnYWLS0tLLnTZu6Zi8jISKxevVotIVVVmQPmErCZmZnEKIdcLsfly5dx8OBBleeUQqFQu8/d3NwQERFBJBZra2vR0NCgVvlUh78sdGROBx3mAYVCgRs3blBk4rPPPiOy8IyKFXMBlslkaG5uZk1VDQ0NsW7dOgQEBODmzZsUmampqUFLSwsyMjIIlTBLS0uCzPFJTwNzw/RffPEFHjx4QAVbw8PDOH78OJKTkxEfHw9vb29YWloS6yovLyfI3MDAANXC5eLiorIdk4GZmRkSEhKI6k1zczPevn0LW1vbeRE5uVxOEQh1ZA6Ya3nbtGkTrl27xjsAzmzrvn37BLfxCFG0VAe5XI6cnByNohmdnZ2Qy+XzMkDmBs+GhoZYsGABJBIJNm/ejMOHDxP7v6ioCK6urhrNf8fHx3HmzBlKaCI0NJStHikHrWVlZYiLi9P4PQH/FZioI3IMnjx5Amtra8L2gptckMvlmJiYmJd3kkKhQGVlJfLy8jTOQK1evZpS9ONDT08P5RfJp2qbkJCAFy9eEB5njx49QlZWFvE6mUxGmc0bGxtTpNzBwQGGhobEtautrU3lHJKbmxu+/PJLFBUVEa3YQmBhYYGUlBRKcIPboqeJzD169IgiVmFhYew2i8ViLF++nJDQ7+3tRU1NDYKCggRvLzB3vN6+fVuwwbIympubkZOTg+3bt2u8fnh7exPzf3Z2dti/fz9VmeY+Z37/rsVdZDIZ2246H/j6+iIpKQkuLi4qX9Pa2kpd97nfl0gkwtq1a9HR0UGQp/Lycnh4eGj8fltaWnD+/HnqXm1tbY3du3ezLcuLFy8myFxNTQ3S0tII8Q99fX34+PiwLZFDQ0OsN+f79+8Ft+SuXbtWkJ0A3z1EecbTz88PcXFxKC4uZpcNDQ3h+vXr2LJlC+//t7a2Uq2j3H2YkpKC2tpa4hi7c+cOfvKTn2hMUOnwl4H2aRYddNABT58+JeT8gbkANiAggFhmZGSEBQsWEMv4RBL8/Pzw4x//mPfGND4+jgsXLuD69etsEMQngqIKenp6SEtLw9atWykzV4VCgYKCAjZrySVlr1+/Zts4FAoF7t69S7VwpaenC8rYxsbGUtn/ixcv4vjx41oTOYBf2lsI0RGLxRQBU4YmeX0uVClaCoFCocCdO3eoTCkfZDIZLly4oFZOWhW4Hnfe3t5skGJubo5NmzZRN/6rV6+qndmZmZnBuXPnqLYlb29vZGRksGqQypiamhLUSsrMonLPFUtLS/z93/89du3aRW3v7du3iXOSr1I8n7m5zs5OHDt2DNevXxckZvHo0SNBhIdblTMxMWHn2pRhampKzcG8fv2aIrl86oIrVqyg5OdFIhFVneNrtZyZmUF7eztevHiB3NxctLS0CCZyBgYGSElJwU9/+lOEhIRQ3xWXzKkj9y0tLVSro42NDWXTsGjRIkrV8OHDh4IFTqanp5GTk4OcnBzq2iIWi3lFIDIzM6ltb2lpwenTpzXOhvLNdJqYmMDe3h4eHh5YtGgRoqKikJSUhLVr12Lz5s3Yt28ffvKTn+AnP/mJSkN3PnxMNVpbeHp6Yv/+/dixY4daIgfQ7X6Ojo6812Zmfo5LJG7evKlWyKSurg6nT5+mSJaTkxMOHDhAzJ5y772Tk5PUPZ4LKysrREREYMuWLfinf/on7N+/X1DyoKSkRFDVV1WbpTJWrFhBnc91dXXU9YUBd587ODhQ542xsTFSU1OJZUNDQxpVZHX4y0FH5nTQQUvcuXOHUgyzsLDAmjVreF/PHWx+9+4db1BkYmKCrKwsbNq0iSJdwJz4wTfffIP3799TpEhI9jQgIABfffUVr29MU1MTvvnmG6qVRiqVspWVmpoayrcqKipK4w2bgb6+PtUKp1AoqAyzi4uLRiIH0C2WgObK3NTUFC5evIjCwkK16z18+LAgggX8l6KlMoS2WhYWFgoiNwxmZmZw9uxZrdp7pFIpVfXjtst4eHhg1apVxLLp6WlkZ2fzklumasYllk5OTti8eTNLFB0cHKgqVUlJiUb1y6KiIqr12NjYGLt27YK5uTm8vb2pFiu5XI7s7GyW5IjFYqoKp83c3MTEBG7duoUjR47wegNKJBIsW7aM2o6uri5qjpZv3dw2u4iICJUtV3zVTGVBm7GxMUrgxsnJiahUKoMb/JWVlaGurg6PHj1CdnY2fv/73+MXv/gFjh49ilu3buH58+e8hI8PERER+Nu//VskJCSozOJzz11V5/rk5CSuXr1KXC/FYjE2btxIJW5EIhGSkpKIZf39/YIsY9rb23Ho0CHe1kcbGxt8/vnnlGqqSCRCUFAQ9uzZQ21/R0cHTp06pZb8c8nc1NSUoETSxMQETp06JViNUU9PD7t27cI//uM/4quvvsKuXbuQmZmJlStXIjY2FkFBQfD09ISdnZ1W0vZ8SEpKwt69e6kEJh9kMhmlDquOCDHzc8pg5uf49turV6+QnZ1Nzbh5eHhg7969VLLH2tqasqpR1b3BB4lEgtHRUY2KtsBcG++xY8dQXFysNkHClyTlJieY+TluzPDgwQPquiWTyag2bFX7PDQ0lPoeHz9+TFS/dfj+4K+CzLW2tuIf//EfERgYCFNTU9jY2CA6Ohq//OUvP7oV4d/+7d8gEokEPTSpxQFzN5d//dd/RWhoKCwtLWFhYYHQ0FD867/+67ylcnX480EmkxHqcgzWr1+v8kbIDZwZnxtVWLx4MX7yk5/wtrgNDw/j9OnTKC8vJ5ZrUtxiYGFhgT179iApKYnK+k1MTODGjRvUzaK8vBzT09O8vlUrVqwQ9L5SqRRdXV0ag3gXFxfs3r1bUFDBR+bUVea6u7tx+PBhjYE2s+7Lly+rlJFWBiNIogwhrYGlpaVUplOIn8/ExAROnz4tuP2ppaWFCnb4Zh9iYmKoVrsPHz7g1q1bRMChUChw+/Zt3qrZjh07KNLB+A4yGBsbUzt3xlg2KENPTw/btm0j5sQiIiKoasn09DTOnTvHVuDmY08gl8tRXl6Or7/+WiXR9vf3x9/8zd8gOTkZS5YsoaokDx8+VBukvXz5kjiuxGKx2rYrY2Njyhi9traWNXLOz8+nzoe1a9eqnLnhW37x4kU8fPgQtbW1H6WiaGxsrLGVVUibJVOd5V7bkpOTVQo8+Pv7U8qzjx49Ulmdk8vlePz4MY4fP05VmIG5Vs6DBw/CxcWF2idWVlaQSCRwcXHBvn37qM/c3d2NkydPqkwg8M2Mako2MEROyPWFgVQqxfnz59Hb2wtHR0d4e3sjNDQU8fHxWL16NbKysrB37178zd/8Df7n//yf+Jd/+Rf87Gc/w+eff46tW7ciPT0dy5cv19hKD8y1OwshMwDw/v17qnqpqaoVFhaGsLAwYtmHDx+oe9PTp09x48YN6hz09/dXmyjkXv/q6uoEEWxGFOzy5cuCWy3lcjkePHiA8+fPq1X/5ILvumJhYYENGzZQ6798+TKxj7XZ50x7Kxdv3rz5Tr1OdZgffvBk7vbt2wgJCcGvfvUr1NXVYWJiAoODg3j+/Dn+6Z/+CUuWLNFYKv9z4fnz5wgODsbPf/5zVFVVYWRkBKOjo6iqqsLPf/5zhISEUEG6Dt8v/Pu//zvv8vfv36u86Ds4OFA3bm6FiwszMzNs27YN69atE9Q6qM1cAzNfsnfvXpVeb8ro6+vDiRMnqEBjzZo1KhUmW1paUFpaiuvXr+Obb77BL37xCxw+fBg3b95U+15r164VnB3m3jQNDAxUtntWVFTg6NGjVMCmqf2ovLwc3377rcZEi7YiKJWVlVQAIhKJsHHjRioYzcjIwMKFC4llIyMjvLNqfOC2WLq6uvIG2yKRCOvWraM+S1VVFXFdevz4MeV7p1w148LNzY3a/uLiYt4Au6GhgfcY2bhxI2+2PyUlhVIsHB4exvnz5zEzM/P/Y++9g+JIs2zxU1V47z0I7yWcAAkJCRoJgSwS8t621ON3dndmY/e9F7+IfRs7Mzuue15vy3sh7y1OBitACAQSCA+SsMJ7qKLq9weRuZX5ZVZlIXVPq5sTQQBFUZVVlfl999x77rnE8agLlt++fYsjR47g7t27nDI5CwsLbN68GRs3bqQlWtT1pAzKTZELXAmhgIAAtYYwc+bMIa6Nx48f4927dwQ5njVrFqP6NjY2hsrKSty+fRt//etfeWeRfQzk5OSoNRgSQuZKS0uJKoKrq6vKmVcikYjoEezp6WGYZ1Do7+/HmTNn8PDhQ+JcpFwyV61aRa+/7LVDuSfO1tYWO3fuJD7D9+/f4+TJk5zrs66uLrG2qzo/R0ZGcObMGcK4hMsJkX0cMpkMKSkpgqqrWlpatLuhr68vZs+ejZiYGISEhKhNNslkMly4cEGQuQu76uXk5MTr6qiMpUuXEmtUcXExbbaUlpaGjIwM4v+Cg4Oxfv16lYYjAQEBjD1hfHxcLTnt6urC0aNHpxy71dTU4ODBg0T/LCCczAGTCTp24qyvrw83btyg/4ddpXZycuIcczI4OIicnBzGcHJl/Nd//Rf3i5nG3w2fNJl78eIF1q9fj76+PhgZGeE//uM/kJeXh8zMTOzbtw8AUFVVhWXLln3QjCEK5eXlKr9UZVabm5uxYsUKtLa2QktLC7/5zW+QlZWFrKws/OY3v4GWlhZaWlqwfPlyjR20pvHdQJUlcW5uLv77v/+bc+EXiUREJURI9pJypPziiy9oFzg+dHV14e3bt+ju7sbw8LCgOVgzZszA/v37BZk1sOeveXp6wt/fn5aVZGVl4dKlS/jqq6/wu9/9DidPnkRqaipKS0vR3t4uuG/l+PHjuHfvnqDeJC4yx4ZMJsPt27dx8+ZNosJmYGCArVu3YuXKlSqfp729nVeCRUETMldVVYWbN28Sty9btozTSl0ikWDDhg2EnLWzsxPnzp1TmQmmhjcrQ5WpiY6ODtavX0+8lw8ePMDbt29RWlpKSFS5qmZssIOMnp4eQsba0tKCy5cvE8FKYmIi72BwkUiEpKQkQh7V0tKCa9euEaSVbx8YHBzEjRs3cPz4ceJcByYlwp999hm++OILzqpmQEAAcQ7w9Wu9fv2aqDYJmQ2lp6eHqKgoxm3V1dUMG3Fg8jNctGgR2trakJOTg5MnT+IPf/gDLl26hOfPnwuu4gOT76+VlRUCAgIQGxuLjRs34le/+pXaoc03btxQmQBRR+a6uro4zVxWr16tNgHj5eVFVO6ysrIYa+Lr169x8OBBzll4zs7OOHDgAFGxYFfm2EGwlZUVdu7cSfQzd3d348SJE5zVTqHJhtHRUZw9e5Y4N01NTbFjxw5CYpeUlER8RlKpFOfOnWM41wrF4OAgLl68SOwry5cvJ9YTytBJlbupVColCL9QoxptbW3O/rlbt27hyJEjyM/PJ/4nKioKK1euVNvbbWxsTOy1qqSW5eXlOHz4MKcz6KxZsxAREcG4zd/fn1gLgcn39/Tp03j06BFjzRAis1RGbGws0UZRXV2N/Px8te+5QqFAXV0dLl26hL/85S/IzMzkrFYDk4kFvoHw0/j74JN2s/zVr36F4eFhaGlpIS0tDXPnzqX/9tlnn8HLywu/+c1v8Pr1a/z5z3/G//k//+eDnk9TVyxl/Nu//Rt9waekpGDdunX036KjozF79mysX78e7e3t+N//+3/j+PHjH3Ss0/j4UJd56+3tRUpKCvz9/ZGQkMDYqD09PRnVjKamJnpEgTqYmZlh+/btKCwsREZGBq/sj33OaGtr04Oflb90dXUZv1PntRD5IYXu7m786U9/EkS6NIFcLkdRURHKysowf/58REZG8vbdsE0K2FXC3t5eXL58mdMwxMnJCWvXroWpqSnGx8eRmpqqkhRJpVJcv34djY2NSExMJI5JqKNlY2MjJ2GJi4tTKWPS1dXFli1bcOLECYZEt6WlBRcvXsTmzZs5M86dnZ3EyAN1DpVWVlZISkrCpUuX6NvkcjnvmsRXNVOGm5sbHBwcGJ9FTk4ObYnd09PDOd5g3rx5REDEhra2NjZu3EhUXrnOZzaZo6pkjx8/5v38AwICsHjxYpVDczVxU2QbEwiZC0UhMjIST58+VVmRHR8fJ9xJNUFYWBgcHR1pMwr2uT48PEwEhRYWFgyyMjY2hosXL2Lv3r2ca5wqAxRqDAH7XFixYoUgJQHVO3fu3Dn6tt7eXpSUlCAoKAipqamc8lmRSIQFCxZgwYIFnEG0qsqc8m27du3C6dOnGe8H5Ry8fft2xlphbGzMIL1cZG5sbAxnz54l1jETExPs2LGDs5olFouxevVqyOVyRoV4fHwcZ8+exfbt2wWfcxMTE7h8+TJxbBEREQgLC0NwcDBu375NVD/v37+P4eFhLFy4kFgHa2pqGOu3SCRSmyBQhrW1NZYtW4YbN27Qt1FSfjYWL15MJEFUISAggFElq66uxtjYGOMclUqluH//PtHXC0wmt5YuXYrg4GBi9qZYLEZcXBzc3Nxw7do1Yv/MyspCU1MT1qxZAxMTE40qc9TjJycn4+DBg4w1IiMjA319fYxrinrPBwcHUVJSgufPn6sdj6OMR48eESZE0/j74ZOtzFEbMADs2bOHQeQo/OM//iOd0f3rX/+qsUvdx0J7ezs9mHjJkiUMIkdh3bp19NDl06dPq50BM43vFqOjo5yDcrk2/YqKCnz99dcoLCyks2ju7u6M+8rlco3lv9bW1ho5mEmlUgwMDOD9+/d4+/YtampqUF5ejmfPniEnJwcZGRm4c+cOrl69qhGRAybJ3FSIHJekgwtjY2PIzMzE119/jbKyMs4NTNWMudraWhw+fJiTyIWHhzMy6Do6OpwuglzvdUlJCY4cOUL0rAhxtGxtbcX58+eJ7HZUVBRntpYNAwMDbNu2jSAVDQ0NuHr1Kq9sURnGxsaEcxkX/Pz8VMrZKCQkJPBWzZQhEomI19jR0YGamhoMDw9zzoCaOXMmYZjDB0NDQ2zevFmtRFc5IG1oaMChQ4d4iby1tTW2b99Ok3518Pf3J84DdnWOPdMPEFaVo6CjoyPoXPkQJYpYLEZISAgcHBw4EyllZWWMc1gikWDPnj3ENfT+/Xvcvn2b89pVVZl7+PAhEZSHhYUJOs8oeHh4ECYvd+/exTfffMNJ5ExNTbFz507ExMTwVm/UVeaUH2vXrl1EgmdwcBAnT55kVNfUVebGxsZw7tw5Qq1jbGyMHTt2qFxPJRIJkpOTCeXF+Pg4zpw5I9gVNzU1lZBnKhsmSSQSrFq1ivM8fvLkCe7fv0+cA+xql6urq8o5pWzIZDJB16SpqSksLS3R19cnuM/L39+fcQ5MTEwwkhfv37/H0aNHOYmctbU1Pv/8c4SEhNBeCsqgjsHd3R0HDhyAh4cH8RhNTU04ePAgqqqqNCZzwOS5sWbNGuJ/2JVSykn5L3/5Cx4+fKiSyHHNCCwqKuIkz9P4++CTJXPKGZldu3Zx3kcsFmP79u0AJrNqQgxKvg3cunWL3vz4jhUAdu7cCWBy8bh169Z3cWjTEIjc3Fyih2b37t04cOAAZ1VibGwM9+/fx7Fjx9DW1kbP9VKGur454H+063/72984+yW+rxCLxbC1tUVwcDCWLFmCnTt34re//S1+8YtfEEGfh4cH5s2bx9mP0dfXh+vXr+PIkSOEJIqLzCkUCjx+/Bjnzp0jPi9tbW2sXr0aS5cuJZ5r9uzZxHMvXLgQISEhxO3v37/HkSNHUFJSwhjgqsrRsqurC2fPniWqicHBwVi0aBHxHHwwMTHBtm3bCLv5169fE0YlANkv5+XlJdimnM8JURnPnz/HxYsXkZ6ejuLiYjQ0NKC/v58z4PD19SWkmA8fPkRKSgoRKLu5uWHVqlUaWapbWVlhw4YNKqVUg4OD6Ovrw5UrV3D69GlOOayOjg7i4+Oxf/9+otdPFfjcFJUDV3ZVztjYWCOSMjExIXj+IRsSiQTu7u5YvHgx4bCrjKKiIqJXjYJCoSCCWD8/PxgYGGD58uVE0Pfy5UviNSsUCl43y/r6esbMLGDyc6USnULB1TsHkNU1YDJ4379/v8rq8vj4OEGQVX0O1KxKdv/r8PAwTp06RZMzVQY91OgPNvk3MjLCjh07BJ0HlNMhWxo8NjaGM2fOqA3GS0pKiP5OExMThmMtMPl+L1myhPM9LyoqwrVr1+gYaGxsjFiX1KmeFAoFWltbkZubi7Nnz+L3v/89Tp06pfJ/gMn948KFC/jrX/+KP/7xjzh79iwyMjLw6tUrdHd3c65T+vr6xPVBXcOlpaWcyTxgci3ft2+fyrE3yjAyMsKWLVsQFxdHrHMjIyO4cOEC0tLSiP8T0rLg4eGBBQsWqL1fZWUl7+Npa2sjODgYe/bswYEDB/CLX/yCof6gjLCmzVC+H/hkZZaUC5yhoaFKeZJyY3pOTg4xO+O7gLJjHbtRXhnsY6X6/qbx90V/fz+ePn3KuM3X15fO/O7cuROlpaVIT08nCERLSwsOHz6MyMhIzJgxg0FIampqOKV4CoUC9fX1eP78OV6/fi243+zvBR0dHdja2sLOzg52dnawt7eHtbU1p+xPoVAQjd5Uk314eDgePnzI2ZvW2tqKU6dOwdvbG4sXL4aVlRUREMrlcqSkpHCSZEtLS6xfv54zwwhMGhg4OTkxrJzLysqwZcsWuLq6EkOEZTIZbt26hcbGRixbtgw6OjqwtrZmZLs7Ojrg7u5OGy2wpXG+vr70PDZNYGlpia1bt+LkyZOMYyopKWHMBxoZGSEy6uoklgMDA6ioqMDLly857fjZ6Ojo4AxstLS0YG5uDktLS/q7hYUFZs6cyei540pO2NraYv369YKcPdlwdXXFypUrGck+ZfT09ODrr7/mVWkEBQVh0aJFGlUJlOHr6ws7OztG9eXJkycIDAzE0NAQUZEIDw9X+zpHR0dRW1uLqqoq1NTUCHbLAyYl2tSQYzc3N1ryqM6g5NatW7C3tycqP83NzcTnTZF+HR0dbNiwAYcPH2YcY3p6Ouzt7eleHq7j19PTw/DwMPG5SSQSrFmzRuNBxSMjI2p7A7W1tZGYmIjg4GC11yAXCVSnMjAwMMCOHTtw7tw5xrU0OjqK06dPY8uWLbyVOalUivPnzxPXr6GhIXbs2KGRQkNLSwvr16/HxYsXGWvj6Ogozpw5gx07dnBW65ubm3H37l3isTZs2MBroLRgwQIYGBgQ//fy5UuMjo5i/fr1eP36NaOyKxaLORMaPT09qK+vR319PRoaGtTO7VOH4eFhesA3BV1dXca+ZW9vT/eIKhPO2tpapKSkcPa6a2trY/ny5Zg1a5bGx0QpFmbMmIGrV68SRjlsoymAvzKnUChoRcjAwIBgFQwbtra2CAsLw8yZMxkVc3Nzc0RHRzPW7+bmZhQXF3MmQ6fx3eKTJXOUDtzT01OlO5HyEGc+dzGhWLx4MZ4/f46BgQGYmZnRvVH79+9XeeFQz2tqakpk6pRhb28PExMT9Pf3a3ys6gKv6XL41PH48WNiULay/IsyKvH29kZ6ejrRO6BQKAgyCEySxPfv39MEQxPtupaWFtE799lnn2Hu3LkYHR1V+zU2NsZ5uzobfmWsXLkSLi4usLCwEExIOjs7iQw3Vf0wNTXF6tWrERkZifT0dE5zgurqatTU1CAsLIwIyJuamjif08/PD6tWrVI7gy40NJRxHdXW1qK3txezZs2Co6MjLl++TJCPsrIyNDc3Y+3atQSZe//+PS0hZG/Sbm5uSE5OFjRsnQv29vbYtGkTzp49ywiM8vLyYGBggHnz5qGuro6x8WtpacHd3Z14rOHhYVRWVuLVq1dobGz8KJlWmUyG9+/fC563pwwHBwc8ffqUdwQMALVjYqh1lAtcRM7Ozg6JiYmC5mOpAlUROn/+PH1bd3c3ysrK0NPTw0jMaGlp8SYi+/r6UFVVhaqqKjQ2NmqU0PHw8ICnpye8vLw4r82JiQliP/D392dU48bGxnD16lXs2rWLQTbZwaW5uTnDMMLCwgKrV6/GhQsX6Nsoi/TPP/8cxsbGnMYJenp6uH79OiEzjIuLg729vaDXPTAwgKqqKlRWVgp6z3bv3q1yP1YGu3JsbGwsiGDq6elh69atOH/+PGN9onrX2CqFgYEBSKVSXLhwgVj/DAwMsH37dpVGQ3ygCN2FCxcY8v6RkRGcPn0aO3bsYCS6VBmeqJsrOnv2bOjr6+PatWuMz6C2thZnzpwh1hdPT0/o6+tjaGgIDQ0NaGhoQH19vUb9W1MF5bys/NlQiSg2uIicjY0N1q1bx/uZ8Mks2aBMd27duqU29isqKoKenh4GBwfpr4GBAQwODgoyPuOClpYWZs6cibCwMDg4OPDu51FRUSgrK2P0eWZmZtJjwabx98MnSeZGR0dpEwC2ixkb5ubmMDQ0xNDQ0JRcnJShbHf7/v17PHnyBE+ePMHvf/97nDx5EqtWreL8P+p51R0rMHlRv3r1SuNjZfcHTOPjoKOjg7D9Dg0N5Vy8DQ0NkZSUhKCgINy9e1fQ3MCamhoMDAyguLgYVVVVagMQGxsbhIaGYtasWUhNTWUQx6GhIWhpacHIyGhKlYXBwUGcO3eO082PCwUFBXBzc9OossTuEzQxMSHkQg4ODti+fTuqq6uRkZFBzORTKBSCbKBFIhEWLVqEuXPnCjrGwMBAon/q+fPn+Oyzz2BpaYm9e/ciNTWVeG7KmpptztDc3IyUlBSC0Dg4OGDDhg0qk1BC4OrqinXr1uHixYuMICEjIwP6+voEuXVzc6MD0LGxMVRVVeHly5eoq6v7XlV/uXpRvm34+vqit7cXCoWCnv85VaLt5eVFmL08fPiQIJEzZ86k5bIKhQLt7e00gZtq8i08PJxzNpQyOjo6iKTNsmXLIJFIGNblzc3NyMzMpHujxsbGiMoi1RukDB8fH0RHRzMUKYODg7h8+TJ27NhBkDmRSISysjKib9fDw4OYrcdGT08PKisr8fr1a433zKtXr2LNmjWCyKIQ8xM+UOZFFy9eZFSFpFIpQY57enpw8eJFYp3U19fH9u3beZUFQkAZBaWkpDCIIjW7bseOHbC2tuY1PImMjERQUJCg5woICICenh4uXrzIOO+5PqPW1lYcOnRI8L6jDPZ1xgVdXV2NqtlUIkodwsLCsGTJEo2rxnzQ09PDunXrUFxcjAcPHvASM67E8IdCIpFAR0cHMpmMUy1EgTJ3OXPmDH3b6Ogo0tPTkZSU9NGPaxrC8UmSOeVFRkjQSpG5qTaFz5w5E0lJSYiIiICDgwOkUimqqqpw7tw5pKWlobe3F8nJybh9+zanuw91vEKPFfiwBvZpfDxkZmYyAmVtbW2iL4YNNzc3HDhwALm5ucjOzlaZLeOah8OGlpYWAgMDERoaCicnJ3qhncpAZD50dHTg/PnzGmVD29vbceTIEaxbt07t6AQKbIklHxkUiUTw8fGBl5cXnj9/jkePHgmaqUbB0NAQa9euFXxcwORnO2vWLEaPSElJCRYuXAiJRAItLS0sW7YMrq6uuH37NiNAmJiYIAI+LgmhpaUl52DtqcLHxwcrV64kRh1wzWpzc3NDRUUFXr16herqao2qsFwIDg6Gs7Mzuru7GV9/L6OpDwG7n5qq7pmamtJfZmZmjO98QRxVnVN2U+RyKQwPD0dDQwNev36N6urqj1KJoCRPqoJ+tpmGhYUFDAwMsGzZMjQ3NzOqUPn5+XB1dYW3tzdevXpFuOHxBfcxMTFoaWlhkJe3b98iLS2NkNRRs8GUYWBggKSkJM7Kxvv371FZWYnKysoP6iHu7OzE0aNHERsbi6ioKJXkXaj5CR8oInXlyhWVZlNyuZzxngGTQf727dsFGRcJOY5NmzYhJSWFkewZGhqiCV1hYSGn4YkmLSpyuRx2dnZYunQp5xgWZQwMDKid/0jBwsICbm5ucHd3h5ubG/T19XHlyhVizAkFkUiETZs2wcTEBK2trWhtbUVbWxtaWlo02k+UoaOjgxUrVghyNxdamVO+/+zZs+Hs7IwrV64QicxvC2NjYygoKEBBQQEMDAzg6+sLPz8/uLm5ETJwd3d3BAYGMhI7L168QEhICDEWYRrfHT5JMqec2RNi7U4FTlPRXP/qV7/C//f//X/E7ZGRkdi+fTsOHTqEAwcOYGJiAnv37kVtbS0x84U63m/zWNVlJVtbW9VafE+DicbGRqJRe+7cuYJIuZaWFhYuXAg/Pz+cPHlySueejY0NwsLCMGvWLE6XPqEztNShrq4Oly9fVpu9tLKywuDgIOP6Gx4expkzZ5CYmKhWNy+XywnpkDqDCbFYjNmzZ2PmzJnIzc1Ffn6+WhLi4uKCtWvXqh3CzIWwsDAGmRscHER1dTUjAA0ICICDgwOuXLki2BEO+B/zko8tRwkODsbIyAhns7wy1P2dgo6ODnx9fVFdXa1yllBLSwtWrlzJCFgUCgUGBwdpYtfV1YWenh7650+F6CkUCvT19XEOe6ZgYGDAIHfKpM/BwYHowWTj9OnTgmc1SSQSuLm50VJuvvdRLpfj3r172LFjB292nU3mKIt6XV1drF27FseOHWMkoG7cuIEDBw4QFVMvLy/eUQFisRhr1qzB4cOHGe9hYWEhpwsu+5petWoVvc4qFAo0NzfTFTiueW1ThVwuR2ZmJmpqarB69WreodUfUpmjoKWlhXXr1uH69eu85IMNXV1dbNu2TbAcVAh0dHSwefNmnD17lhE3DA4O4uuvvybub2hoiISEBHR2dmJ4eBjDw8MYGRnh/E79/LFmkBkaGjLIG9fnoyoJolAocP36dezfvx/+/v70HE+FQoGBgQG0tbXRJK+1tVXQDMbZs2d/0JgqIbC1tUV0dDSuX78+pf/X09ODsbExjIyMYGxsLGiIO4Xh4WE8f/4cz58/h66uLnx8fODr6wtPT086gRUfH4/q6mpGz/bdu3exf//+KfU6T+PD8UmSOeXAlu0OxwUqSGWTLCHgW9wp7N+/H8+ePcPRo0fpQbVbtmwhjnd4ePhbPVYhEs5pCIdCoSCqZoaGhirn1YyMjKC9vR1tbW30946ODo0kbNra2ggICKBnPamSB7JJ5VRGBRQXF3M6UpmamkIulzMypkFBQfD398eFCxcYMhS5XI67d++ivb0dCQkJvIt5a2srQRiFugWKRCKYmppCIpGoJXNCZlHxgcsI5fnz50Q1wdzcHLt27UJGRgbh1scHXV1dpKamqr0fW25048YNjUdHaAotLS14e3sjICAAXl5e6OrqIgIAS0tLhnS4o6MDdXV1DOc3kUgEY2NjGBsbE1lahUKBK1eu8DolKsPDw4MOHBQKheAv5fvLZLJv1f2VCl6nKolUF/Dq6enB29sbPj4+8PDwgK6uLiorKwki5+zszAjKm5qaUF5ezmvIwCaYyvPG7O3tER8fzxjYPTIygoMHDxIJKS6nV2UYGBhgw4YNBDlUR2QiIiLg6emJhoYGmsAJrdzo6OjA29sbvr6+yMnJYVxLjo6OWLVqFa5fv058Zm/evME333yDxMREBAUFEevuh1bmKFCGLlpaWkRvNRd0dXWRk5Oj9n7sz+bUqVNqXVKFygOHhoZw6NAhQff9UGhra8PV1ZUmcDY2Nhqb07Cvh76+Pty5cwdr165l9NyamJjAxMSEYQpFXc+tra3IzMzkfL68vDzY2tpOyfBEKOrq6gQ5mpuammLevHk0aaNaLNgSfiMjI4ZLrJmZGQICAlBZWakyOTI2NoaysjKUlZVBW1sbnp6e8PPzg5eXFz777DM8ePCAvu/79+/x9OlTQSNtpvHx8UmSOeWMu5BqBBXkTtWhTB3279+Po0ePAph0LmOTOWNjYwwPD38vjnUawlBRUUFksBcuXEjb3/f29jJIW1tbm8osvlDs379fsFPZh8gsKbLKtgEHJoOejRs34tSpU4wgiupv27NnD65du0ZULZ89e4bOzk6sW7eOsM4HSImlpaWlWuLV29uLwsJClJSUCM72vnz5ElVVVYiOjsbcuXM17k0LCwvjNEJhJ3a0tLSQkJAANzc33LhxQ+3xTdUQBPhw8yYuiMVieHh4IDAwED4+PgzpJ3vYra6uLnbv3k0MLc/Ly1Npc6+MmpoaQUQOmAyqNm/e/EHrYGlpqVqJFzBpwEBV4np7ez9YfvohMDU1ha+vL3x8fODi4kIkRvLz8xm/29nZYdu2bfj6668Z609aWhq8vb2Jir5yvzkF9vBoZfknBTZZMDIyIuzuuWBvb49ly5ZpNGpneHgYf/zjHwWrGQwMDODj40PLwrS0tGg5nTIiIyNhbW2NPXv24PHjx8jNzWUkscbHx3Hz5k1UV1dj+fLl9Bo2MTFBrO1TqczJ5XJ65qfQBF9/f7+gahEXvo0149uCgYEB1q9fDycnJ40qO+Pj44Rccvny5bh//z5DBVJRUYGSkhK141YMDAzg4eEBDw8PDA8PE9cbhRs3bkBbW1stYdZUZglMqqy4zGe40NfXh66uLoSFhamUCbNn8hkZGWHRokWIi4sTLFuWSqX0/SQSCWcLA+XcK2QG4DQ+Lj5JMqenpwcrKyt0dnaqdXHs6emhCdK3ZRJCle4BUsICTFbN2tvbBVl9UxmlaUOTvx/Gx8dx5coV4vaOjg566KsmDdWa4MSJE1i1apWgQIkd6FJulOrIi1QqxbVr1zjtyf39/ZGUlARtbW0iiKCIl66uLjZs2IBHjx4RWePGxkYcOXIEGzduJHo8uPrluKBQKNDY2IjCwkJUVVVNyV1RKpXi4cOHeP78ORYvXgw/Pz/BRi0BAQF48OAB4zMuLi7mHWDt4+OD/fv348svv9T4OP8ecHNzQ0BAAD0fjI03b94Qzm1z586FgYEB5s6dy+jHa2hoQGtrq1oTicHBQUHEikJrayuOHTuGLVu2TMm9T6FQEIkKc3NziEQiIhPd2dmJHTt2wMzMDAqFAiMjI+jt7aXJHSW3pH7/UIt0Nuzt7eHj4wMfHx/Y2trynqfv3r0j5PRRUVG0xb6yg+TQ0BAePXpE9HCzZcESiYSQ8IlEIqxcuRKtra28CSonJycMDg5CS0sLWlpa0NbW5g0mQ0JC8O7dO06bdS6wTVa4YGJiAj8/P/j6+sLFxYV4bna13MjIiN6nJRIJ4uLi4OXlhevXrxMyvcrKSrx9+xarVq2Cp6cnbYyjDCGVudHRUTQ3N+Pt27d4+/Yt3r17J0id80ODjo4O9PX1VSY7h4eHUV1drbGbLJfE0tzcHKtXryaqyQ8ePICLi4vg9USVhF6hUODq1avYuHGj4GSWELS1tSElJUUjOXpBQQE6Ojqwdu1azvUcIMkc9VmIRCLY2NjAxsYGCxcuRHd3N10NVxWvTkxMEL2dwOS++9e//hW//vWvp9TmMI2p45Mkc8Ck3Xh2djZqa2tVBrDKAasmw1k1gbpg09/fH8XFxejr60NbWxuv/l1Zs/1tHes0VOPdu3c4duwY59+EOCjywczMDHZ2drC1tcWTJ0947zc0NISUlBTMnj0b8fHxKqUwXFWLoaEhlVmxwcFBnD9/nnOjmj9/Pj777DOIRCKMjY0RgYdyFU0sFiMuLg42Nja4desWo5rR29uLY8eOYfXq1fR5LJPJiKZ6NpmTSqUoKytDYWEh5+wyZVhaWmL27NlqZYu9vb24fPkyXF1dkZCQIMhEQFtbG0FBQSgsLKRvKy0tRUxMDG/W2MzMDLNnz/6gc+TbRnh4OKKjo1VusgqFgpAXUSQOAGbNmoWHDx8yJL35+flYs2aNyse8efOmxoYD1Hm0adMmjYO82tpaogqakJAAe3t7nD59mlGd6u3txYkTJ+hBzAYGBjAwMOC1YB8fH2eQO/bPAwMDghIQiYmJ8PHxEZzFZlcJTExMaILi4+MDb29vRrW8qKgIISEhjP2GnWy0s7Pj3Dv19fXp/jkuvH79mkgGiUQiaGtr0+ROmehpOkuRC1ZWVrQxg729Pe9jCp3n5+LiggMHDuDBgweEYzHl7BsREUFUIPT19Yk2CIVCgZ6eHpq4vX37Vu0a9imCeu0GBga839m3UefX3/72N5WSvry8PPT19SEpKUmwmoJN5gwNDaGtrQ1tbW2sXLkSFy9epP8mlUpx9epV7NmzR+3jU0PKlWFhYcE4/omJCVy8eBFbt27lNf7Q5Lzv6urC2bNnp9Rv2NDQwJtEBcjWA2qMAfuasLCwwLx58zBv3jz09/fT17mmI2v+/Oc/4x/+4R8+qOVhGprhkyVz8+fPR3Z2NoaGhlBcXIzIyEjO+ykHzt+WlldZOsQVAMyfP5+2cn3y5Ak2bNjA+TjfxbFOQzX4ghehEIvFsLGxoYkb9V1586dmFarCs2fP0NjYqNI6W09PD2KxmCHZGRwc5A0O29vbcf78eSJDKhaLsXz5ckYPDJe0h2thnjlzJiwtLXHhwgXGa5JKpbh06RJiYmKwYMECvHv3jpCvUUFSb28vioqK8Pz5c7UbmZeXFyIiIuDh4QGRSIQ3b94IkhM1Njbi0KFDCA0NRWxsrFoTkrCwMAaZ4zJCUcb79+9RXFxM3B4YGKhxZYntrGhpaUnMo9L0MYDJbKy6bGltbS1BuhcsWECbN2lpaSEiIoIxOPbly5eIi4vjPe8KCwuJQe4+Pj4YHx9nVGtnzZqFN2/eMAI0asDymjVrGAoIdWBX5aysrODl5QWRSIQdO3bg9OnTDLLX39+PkydPChrITA2It7a25vz7xMQESkpKiMHJyhCLxXB0dBRM5CgLfmVERkYygrGEhATU19fT15lCocDdu3exe/duOqjkMz/hgqZGBgqFAuPj4x+1+mRvb09X4PjebzaePXvGkKhJJBLeeX66urpYtWoVvL29cfv2baLqWlhYyFgHgMmAVyaToaWlhUHepuqOyIarq6tGLrwAeb27u7trnADhWjNsbW3pig+130wFvb29BJHz8fEheoFfvXqFgYEBbNy4UZBvAJvMKUvhfX19ERYWxliX29rakJGRgYSEBJWP29XVRZzHO3fuxOPHjxkVZplMhpSUFGzfvl3ltUSBjxD19fXh9OnTRN+7l5cXxGIx431asGABzMzMcPfuXcZ5TiW/kpKSiLWSvc5QBjCqPCFMTEwQERGBiIgIDA8P0zMc6+vrBUlAGxsbv9W+wmkw8cmSuaSkJPznf/4ngElpGheZk8vlOH36NIDJizw2NvZbORbl5uCFCxcSf1+5ciW++OILyOVynDhxgpfMnTx5EsDkRr9y5cpv5Vin8fGgr6/PIG12dnawsrJSGwSx+yXWrFmD8vJyQtqmzjpbJBLByMiIQbz4+uZqa2tx+fJlYoPS09PD+vXriSoZm8wZGBjwZjMdHBzw+eef4+LFi4Q04/Hjx+jo6CA2Ezs7O7S3twuSUuro6CA4OBgRERFEoO3h4cEIcvX19bF161akpqYSpEShUKC4uBivXr3CwoULObP1FGxsbIhG+uLiYk4yp1AokJqaSryGn//851PqreFaQzTFggULcPv2bYYDYXV1NWpra3llQVxVOVNTUyIQnj17NnJycmgpkEKhwNOnT7FkyRLiMdvb25Gens64zcjICCtWrEBWVhaDzMnlcuzZs4eoHFNzr5YsWaJ27hgwKY9iu6ZGRUUxRnrs2LEDZ86cYfSIDAwM0IRuKtJOCp2dncRrZkMul+Py5cvYv3+/oKD16dOnjPNLR0eH6P8xNzfH/PnzGUH5u3fvUFpaipCQECgUCpXmJxTGx8fx+PHjb2WelRDY2toiODgYvr6+ag3I2JiYmCCq4zNnzlSbvPHz84OTkxNu3bpFJB7YaG5uxn/+539OeTajmZkZHB0dOY1gfvvb33I6F6vDx1gzFi5ciFOnTjGunY6ODkxMTPDK94SCLcmjzHFKS0tx584dxnv55s0bWmKtTs7KNj9h33/JkiV48+YNI3FTUFAADw8Pla0MbOUKZeq0bNkySKVSxjxGagD8zp07pzQ+YnBwEKdPnyb23BkzZmDdunUMMyJgMsEVEhICa2trXLx4kbHnS6VSXL58GdHR0YiNjaXXPKpCqpxQ7e/vF3x9GRgYICQkBCEhIeju7sbly5fVzgW8fv36NJn7DjG1NMv3ABEREYiOjgYwWU3halT905/+RAd6v/zlLwnJ2smTJyESiSASiTjHD5SXl6td2A8dOkRXc+zs7LB69WriPnZ2drQpSmpqKmc/1uXLl2nJ2Me2Ip6GMAh1TFu5ciV+9atf4Z//+Z+xfft2LFmyBEFBQbC1tRWUzWYHASYmJti0aROWLVtGECbKOvv06dOc/QFCTFCKioqQkpJCEDkzMzPs2bOHs3eNr1+OD1SAHBwcTPytoqKCuD7b2tpw+vRpvH79mpfIWVpaIjExEb/+9a+RmJjIWTFhE5ORkREoFArs3LkTa9eu5ax8jI6OIjU1FQcPHlR5fbNJTF1dHRE8AJPGHuxgJTo6ekpE7mNBJBJhyZIlRBCbmprKm1V99eoV0QAfExNDnJPUxq4Mrqoq1ZvJfr6kpCQYGhoSlZaOjg76PFJ2mFM+di7SzAa7KmdkZERUNg0NDbF9+3ZinR0cHMTJkyenLJEbGBjgvNaio6MJtUVfXx9u3ryp9vWMjIwQYwFCQ0M5g/558+YR511GRgZGRkbQ19dHZP7ZZK6urg7ffPMN8vPzp9Sr+jHQ09ODvr6+KUkzKyoqiDVQ6EgeY2NjbN68GYmJiWorUEKJnEQigZOTE+bOnYv169fj17/+NX75y19yyvKWL18+JSL3McGWOPIlqjQFewi6u7s7RCIRQkJCsHnzZmJsU1dXF44dO6Z29At7T2Sv99ra2khOTib25Rs3bqg0DGNXsCnFlVgsRlJSEnx9fRl/Hx0dxZkzZxhuv4B6A5SRkRGcPXuWqFo6ODhg06ZN0NbWJmaSUr3cTk5O+PzzzzmdzLOzs3HhwgV6TabcoJWhiWGbQqFAQ0MDrly5gq+//lrwgPe/1xryY8QnW5kDgC+//BLz5s3DyMgI4uPj8a//+q+IjY3FyMgILly4gMOHDwMAvL298Y//+I8aP35xcTH27t2L2NhYJCYm0pIymUyG169f4+zZs3QGViKR4NChQ7wZwP/4j//AgwcP8P79e2zatAnPnj3D8uXLAQB37tzBn/70JwCAtbU1/u///b9TeTum8YHgkplwIT09HXFxcWqdsfjADgTEYjE9LNTV1RXXrl0j9PpNTU04ePAgli1bxghMVZE5uVyO9PR0zgy7s7MzNmzYwHu+akrmgEkJ3sqVK2FjY4P09PQpL+RsKaUqmJqa0mZIFGpra+Ho6IiAgAB4e3sjLy8POTk5hMyzs7MT586dg5eXF5YsWUKQRX9/fzx48IBBUp4/f84wQpmYmCD69oyNjTF//nyNX/fHhq6uLuLi4hhOgp2dnXj27BmhZJiYmCAcLK2trXkzq3PmzEFRURH9GY+Pj6O4uJhBWDIyMghSNGfOHHh4eNCPr4yuri7I5XLo6Ohgw4YNuHv3LmGa8fTpU/T392P16tWcleKenh7CMTMyMpLzvgYGBti+fTvOnj3LCBqHhoZw6tQpjZNq4+PjOH/+PHHtBAYGIjY2FgqFAm/fvmVUjKuqqvD06VO6J5ELxcXFxLBuvgqllpYWEhMTGQPLh4eHkZmZSSRt9PX1aeI3NDSEtLQ0wfOoKAt/mUwGqVQKmUzG+Jl9W2NjoyBjE2DyfXz69CkKCwsRGBiIuXPnCv4c2MYnLi4uas15KPT396O2thaNjY1TrroZGhrC2dmZ/rK3tyfOvZGREYZMGZisRqob9fBdgLK6V275aGhoQFVVFUFghEIul6s0v/Lw8MCuXbuQkpLCSKgODQ3h5MmTWLt2LWdyByDJHFclz9bWlhi3MTw8jBs3bmDLli2cewx7/1U+h8RiMZKTk3HhwgVGEo8avL5r1y5BFa/x8XGkpKQQCTRra2ts2bKFJnFsgq9szGVsbIwdO3bg7t27RN9ndXU1jh49io0bN8LKygqmpqYMsimEzA0NDaG0tBTPnz+f0nzHDzlvpqEZPmkyFxISQjeg9vf341//9V+J+3h7e+Pu3btTdtaZmJhARkYGMXNMGZaWljh27JhKaaSzszNu376NpKQktLW14fe//z1+//vfM+5jZ2eHGzduTM+M+zvg/fv3RPabDyMjI7hz5w5KS0uxbNkyjauo7EqFchbYysqKts5mO0WOjY3RIwGWLVsGPT09goxRmffx8XFcu3aNcz5ZYGAgVq1apbIJnB2QCr1+RCIR5s6dCxsbG1y5ckVwM7cqKaU6eHp6EmSOkh1pa2tj4cKFCA4ORmZmJkMeQ4GqrEVGRmLBggX05qmtrY1Zs2YxemZKSkoYRigFBQXEJrdo0SIi0/z3QnBwMIqKihjByePHjzFz5kyGdKqkpISoOsbGxvJWKMzNzeHn58cgTgUFBZgzZw4kEglqamqIXiNbW1sGEWaTuYmJCXR3d8PKyoru4zQzMyNIJlV94eqrYVeUdHR0VA6z19fXx7Zt23Du3DmGBHF4eBinT5/Gtm3bBJEBuVzOmYRxdnbGqlWraAVIcnIyDh06xOivysjIgLOzM+e6PzExQRCUgIAAlb121CwoZflxcXEx70iC0tJSpKWlcbp0SiQSREdHo729nfF4NTU1iIiIIKoGXOjs7OSd2aUKcrmcnnHl7u6OqKgouqLDhXfv3hEVFb5eemDyvX3z5g1qa2tRW1s75WpscHAw3Nzc4OzsDDMzM7UJqMePHxPvdUJCwpT70T425s2bh5KSEsYekJaWBk9PT43HvACTKgz266USOhTs7OywZ88epKSkMD4HqVSKCxcuYOnSpZzXsaqeOWWEh4ejvr6esR/W1dUhPz+fmB0rl8uJ65jthaClpYUNGzbg7NmzjORMf38/TehU7ZkymYyzLcHc3Bzbtm1jrM3sa4y9p1JJVHt7ezx48ICx/nV1deHo0aNITk4mErJ8Iy8UCgWamppQXFyMyspKtf1xNjY2CAsLw8yZM3H8+HHGOpOdnQ0fH5+PYoA0DdX4fqweH4AVK1agrKwM//AP/wBvb28YGBjQznK///3vUVJSMmXr2KVLl+LYsWPYu3cvwsLC4OTkBH19fejp6cHBwQGJiYn48ssvUV9fj1WrVql9vMjISJSXl+N//a//hcDAQHrA48yZM/G//tf/wsuXL1VuPtP49pCZmalxJendu3c4fPgwYWOvDlyVOWVQ1tk7d+7kDNpevnyJb775Bo2NjZyVOar3h4vIRUdH00NrVYEtOdXUlcra2lpQQzgwaSjw+eef80op1YF9fTc3NxPBg6mpKdasWYPdu3dzmhTJ5XLk5+fjb3/7G4qLi+nPiC21HBoaot/XwcFBwpnUyclJY7OSbxMikYho9h8dHWVUBqRSKbKyshj3cXR0VJtRZQdBAwMDKC8v5xxDoKWlheTkZMZ5Z2BgQCQjlHtbRCIRoqOjkZSURFwjb968wfHjxxnB3PDwsGA5ojL09PSwdetWYhzMyMgITp8+zTluho20tDTiejM3N8eGDRsYr9nExISQ4svlcly5coWTTFHvpzJUVfEoLFmyhGgraGpqYvxuYGCAM2fO4ObNm5zPPWPGDBw4cAALFy4kDBXq6+sFrXkDAwM4e/as2nEOBgYG8Pf35w366uvrcfbsWRw6dAhlZWWcASab9FIz+5TR29uLZ8+e4cKFC/jDH/6A06dPIy8v74OcJxsaGqClpSWIyHV0dKCoqIhxm7+/v8aGJ98mtLW1sXjxYsZtPT09U+6hZEssLS0tOfc1U1NT7Nq1i6ggU0Y+GRkZjD16dHSUIDZ8ZI4at8EmWJmZmYSU8/3794SKg2vP0NbWxubNm4m/9fT04MyZMxgeHuaUWcrlcly9epV4X4yNjbFt2zbiGFVV5pRfX0REBLZv3070N46NjSElJYVIZLLJHDVX7+uvv8apU6fw8uVLXiKnpaWFoKAg7N69GwcOHEBERAT09fXp1icKLS0txOucxreDT57MAZObzp///GdUVVVhaGgIPT09KCoqwm9+8xuVjbs7d+6EQqGAQqHg7JmzsbHB7t27ceTIETx79ox2rBoZGUFzczPu3buHX/ziFxoFulZWVvj3f/93lJeXY2BgAAMDAygrK8O///u/TymQncaH482bN5zERxne3t4ICAggblcoFCgoKMDXX3+NV69eCSKE6sgcBSqY4pK69ff349SpU8QGW1dXh6NHjxKZRbFYjFWrVtGjB9RhKjJLYDJ4e/DgAb766ivOOTRc6O7uxtdff40zZ85oNBycgouLC9HnwbeBODs7Y+/evVi1ahWnxHR4eBh37tzBkSNH0NTURBuhKINyR3v48CHRG5WQkPC9y0K6uLggMDCQcVtxcTEt7yksLCTIe1xcnNrX4ejoSPT+5OXl4ebNm0RvVnx8PKcboY2NDeN3rqHqQUFB2LJlC1Ht7OzsxLFjx+hzvaioiBGEicViQYYpwGT2m8tinOqFUTVzqbCwkCASenp62Lx5M+c55unpSQQ9fX19uHHjBmP9UCgURK/pjBkzeEcmKMPU1BQLFixQeZ+ysjJC/kYd+4oVKxhGMF5eXoy+I7lcThg2sTE6OoqzZ88Sci5PT0+C0I6Pj2P16tX4+c9/jvDwcN6RLO3t7bh+/Tq++uor5OXl0YFtf38/Ia8NDw+HXC5HXV0dHjx4gK+//hpffvkl7t69i6qqqo/mutnX14fLly/j1KlTKnuJuPrPJBIJQZy+DwgICCDWvezsbMF95crg6pfjg56eHrZs2YKgoCDib7m5ubh27Rp9jXP1kKuqWBsYGHAmUq5evco4F9jkztTUlLcdgVo3uNaxM2fOEMSLGtPCHutBKQS4ZKLqKnPKcHV1xb59+zjVQmxi1tfXR1fhrl27hj//+c9IS0sj+v6UYW1tjYSEBPz6179GUlISnJ2dGftEYGAg8Rqys7N5H28aHw8/CDI3jWlMFQqFgnCeMzAwIAKh1tZWJCcnY+vWrZzGFgMDA7hy5QrOnTuncjHk6sVQZZqip6eH1atXIzk5mbPCwB4uOj4+ThAxPT09bNu2jdOchA+akrnBwUGkpqbiq6++QkFBgSDrYmVQBOzWrVv44x//iIsXL+LVq1eChqdqa2sTmW1VxiYikQjBwcH4+c9/jnnz5nG+/21tbTh58iQuX75MVP7q6+tRUVFBVIGCgoIEVyO/ayxatIggvFQ/IFvO6+7uzjvQnQ12lej9+/fEe+/t7c0rdWS7RnKROeqYdu/eTWStBwcHceLECVRWVhKyzsDAQMHW/8CkJHPz5s3Eax8bG8OZM2cId1Rgsi/lwYMHjNvEYjE2bNig0hEzJiaGII7V1dUM85b6+nqiYiSkKqd8X01dOQMCAvDTn/4UoaGhjCBNV1eXeF/YAakyZDIZLly4QBy/o6Mj1q1bB09PT8bjy2QyNDU1wdzcHEuXLsWvfvUrlSNE+vv7kZ6ejr/85S9IT0/HrVu3iLX19evX+P3vf4+zZ8+ioKCAkJlyQU9PDwEBAVPqeW1qasLhw4dx+/ZtIpkBTH6+bGITFRWlsWPndwGuiv74+DgheVYHqVRKXDeqyBwwuR+uWrWKMxnx8uVLutLLloUbGxurVZy4ubkRn213dzejn45N5tQlTygixo4L2traiLW1traW6EvV0dHB1q1beUdvCKnMKcPMzAy7d+/mTD6zj++///u/cfLkSZSXl/Pu2RKJBLNmzcKuXbvwxRdfIDIykteBVywWE+9vU1MT59o5jY+LaTI3jR81Xr9+TWTdFyxYQEjlBgYG0N7eDg8PD3zxxRe8A6QpN7jHjx8TUg2Am8wJ6ZUIDAzEgQMHNJbjWFhYYO/evRr9n1QqJWRRfGRuaGgI6enp+Oqrr/D06VPO16wpJiYm8Pr1a1y5cgV//OMfcf36ddTU1KgkiOwejLq6OrVVUl1dXSxatAg/+clPeCWFFRUVhFkBMOk+qwxtbW1GP9j3DZSxgTIaGxtx/PhxItP72WefCX5cb29vlYTByMgIK1eu5K3ysTPaquRutra22LNnD/E/1ExD9pwvTYgPBR0dHWzatIk4nyj7cWXb9ra2Nly5coU4z1auXKn2eqNMFNjKkczMTDrwYVflLC0teY0guKBJ1cfExAQbN27E2rVrCek2BfY1UlNTw7vGXb9+nZB1Wlpa0s6FBgYGROJDOQlAJdR+9atfYfny5byqlbGxMeTl5XGqALhmW3LBwcEBCxYswO7du/HP//zPWLt2rSCzBy5HSoVCgefPn+Nvf/sb8vPz6TVLJpMhLS2Ncd/vi1ESHxwcHIgEYGlpqSDZMYWmpibGui0SiQTtRSKRCLGxsVixYgWxdjQ1NeH48ePE+aVujAGFmJgY4twrLS2lDXpUmZ/wwcjICNu3b9coeQRMyhW5pJrK4KrMqdvbKBdPdXuSqgSHpaUl4uPj8etf/xqrV6+Gi4uLINVJUFAQES9MV+e+fXzSBijTmMaHgDK3UYa5uTlmz54NsVgMc3NzRvavuroadnZ20NLSwsKFCzFz5kzcu3ePCCQmJibw5MkTlJWVYenSpYzKzlTJHDAZkG/fvh35+flq51gBk4Hp7t271c5YYkPIwHBKX19QUMBbPWMPNOeCr68v6urqeB9jfHycNkGg+moCAwOJjcXT05PhKjkwMID3798TgT8XLCwssGHDBtTX19OOs5oiOjp6yiZL3xW4jA3Yr9XPz48IdBQKBYaHhzEwMIDBwUHiS1VAQI0h4AOfoyXfNUH11Vy8eJGYJcfG+/fvMTQ0BH19fRgYGMDAwADa2tpqAxJtbW1s3LgRly5dYkgJpVIpzp07h02bNsHKygopKSnEebtw4UJOiRgXjI2NkZycjDNnztC3KRQKXLlyBatXrybWlTlz5vAeu0KhQF9fH9rb29HW1oaOjg60tbUJIiVhYWFYvHixWjMTHx8f3Llzh/59fHwcjY2NjPWNqviyJY9GRkbYsmULg7x6enoyEmm1tbXErEItLS2EhYUhNDQUVVVVyM/P/+Asv4GBATw8PODp6QkPDw/i/GxubiaO38XFhXjeFStWoL29HWlpaYSUdGxsDGlpaSguLsaSJUvQ0dHxvTZK4kNcXBwqKioYMsQHDx4wBtGrArsS6ejoqNH4hdDQUJiYmBAzUjs7O4l1R2iFUyKRIDk5GQcPHmQ85p07d2Bvb09IZYWqLaj9+cSJEyrHHlAQi8VYv349Z1JAGez3Sy6XQyaT8UqRKYhEIsyfPx+2tra4evWq4L5+LS0trFixAjNnzpxSy4BEIkFUVBRDsVBbW4uWlhZBEvFpTA3TZG4aP1pw2e3GxcXRFTdvb29GL0x1dTVD+mFhYYEtW7agsrISDx48IPoJenp6cO7cOfj7+2PJkiUwMTGZMpkbHBxEQ0MD/SUE4+Pj+Prrr+Hq6gpXV1e4ubnByspK7QLNJdOkgo6RkRGaxPH1nIjFYgQHByMgIIARqHLB0dERa9asQXV1NT3Xka8CNzw8jGfPnuHZs2cwMTFBYGAgZs6cCVtbW7qpXjmoqq2tFUTmKLi7u+PAgQN49uwZp+McH8zMzKZUBfquQRkbXL16VeX9qJ43ykxnaGhoymMm1EmqVDla8oHqq7l16xanOymFa9euEbdJJBKa2FFfymRP+bYlS5ZgYmKCEZDKZDLec3rWrFkaD292d3fHggULGAY0AwMDOH36NON+BgYGNEmUSqXo6OigiVt7ezva29s1MmFSRkVFBcRiMYKCguDg4MC7PhgZGcHZ2Rlv376lb6usrGSQuZycHMLgQ0dHh3MAtKenJ2McTGdnJ3p7ezmDcpFIBF9fX/j6+qKpqQknT54U/PpEIhEcHR3h6ekJT09P2Nvb8665CoWCSPDp6elhw4YN+OabbxhBelVVFaKiouDl5YX8/Hzk5OQQ5L6rqwspKSnE83zfjJL4YGRkhAULFjDek3fv3qG8vFzQQGhN+uX44OnpiV27duHcuXMqSZImclVzc3MsW7YM169fp28bGxvDwYMHif1H6GgLYDIm2LZtG44cOaKyKiwSibBmzRqVg8spcCVZxsbG1JI5Cl5eXtiyZQuOHz8u6P4ymQzXr19Hamoq7O3t6S8HBweYmpoKInihoaHIyspiqCWys7OxYcMGQccwDc0xTeam8aPE2NgY4UTo4ODAcG1jk7nm5mYMDg4yZEgikQj+/v7w8PDA48ePUVBQQAS+FRUVqK2tRUxMDOcGzhVYjI2NobGxkSZvU3VbGxkZQWVlJW0rbmhoCDc3N5rcmZubE4szV7/c6Ogonj59iqdPn/IGjSKRCEFBQViwYAHMzc2Rm5vL+LuRkRFsbGwYG3xOTg7CwsIQEBCAgIAA+nhfvnyJxsZGXhLR39+PvLw85OXlwcrKCoGBgbCwsCDIHNtxkQsKhQJjY2MYHBzE0NAQDA0NERERQZwffIiPj5+SZfffAwEBASgsLGQE5MpQtp//GDhz5gySkpJ4ZbqUo6Vyj9H79+/V9nppaWkhNjZWJZnjwsTEBG089bFha2uLkpISaGlpCfrS1taGRCLBwoUL8fbtW5VJmtHRUdy8eZOutn3MYbwjIyMoKipCUVERLC0tERQUhFmzZnFKxnx8fBjnTlVVFZYvXw6RSISSkhKip0oikWDjxo2chgwODg4wMDBgBHy1tbW8/ZXj4+N4/vw5IT9Vh9WrVwsmTtScOWVER0fDwMAA3t7ejLmHr1+/RlRUFLS1tbFgwQJ6/ImQWX3fR6MkPkRGRhKJz4yMDPj6+qqsLA4ODhIz1NjyZaGws7PD3r17ce7cOV7lRFZWFkZHR2Fqakp/mZmZwdDQkPO9njVrFurq6hifF5uAmZub8/aHyeVy9PX1oaurC52dnejq6qJ/VifvXb58udqeNgpclczR0VFeOTQbIyMjuHfvnqD7KmN4eBh1dXUMhYC+vj5B8LhcXLW1tTF37lzGSJLXr1+jo6NDowTrNITj04hApjGNj4z8/HyiSX3x4sWMRWnGjBnQ0dFhVKBqa2s5jUR0dXWxZMkSBAcH4+7du0SwPD4+jrS0NILgAJNkTiaT0QFdQ0MDmpubP2rARmFoaAgvX76k+wNMTEwY5M7U1JQgcx0dHfjyyy95XbREIhFmzZqFBQsWMJrA2QYJPj4+CAsLw+HDh+nbxsbGkJOTQ/f26OvrIzQ0FKGhoRgYGMCrV6/w8uVLlX0anZ2dnAPfKRI8Pj5OSAOpyhP19SG9fp/SUFSRSITw8HBeMvex0dDQgIMHD2LFihXw8/PjvI+1tTVB5vjuS6G2tpaz8vb3hBDpMxeEyJHlcjlevXo1pcfXBF1dXXj48CEePnwIV1dXzJo1C/7+/nR1wNfXl1GlGRoawrt37zAyMoLbt28Tj7d69WpeMx2RSAQPDw8GIecic8PDwygsLERhYaHgarkyrl27hvLycsTHx6tMEsjlcqIqZ2pqioiICACTr12ZzL19+5ZO/gD/M3Zi9uzZePDgAWGkoYzvq1ESF7S0tBAfH48LFy7Qtw0MDCA3NxexsbG8/8dOTujo6HzQ66Yk1n/4wx9478M2QQImEwomJiYwMzNjED1TU1PMmTMHDQ0NvMkdBwcHjI6O0mRNmbR1dXVpbPRFQajBFHX8WlpajD1KqOMz5carymVVE4yMjKC+vp6RkNXT0yMInrm5OcLDw5Gbm8s41pycHKxZs+ajHMs0mJgmc9P40aG6upqounh5eRGN2RKJBB4eHoxqRXV1tUpXSFtbW+zatQulpaVIT08ngg8ul7OUlBS0t7drTCgMDAzg5uZGBHnOzs4YHBwk3L640N/fjxcvXuDFixcAQPQJUuDbPGbOnIkFCxYQQdLAwABhLOPr6wt7e3sEBAQwjrmwsBCRkZFE9cbY2Bhz5szBnDlz0N3dTZNQTXravvnmG8H3nSo+lQw7Ba7h1EJhaGhIz8c0MjKizxtVGBkZwaVLlxASEoKEhAQim29tbc2ohqj6fBUKBbKzszlNadgwNzfH+Pg4RkZG1JKlvyc+5rHp6enB1tYWtra2sLOzQ15eniAXRy40NjaisbER9+7dg6+vL4KCguDu7g5ra2vGZ5SZmcmZfEpISFBbffD09GSQuYaGBkxMTEAikaC/vx/5+fkoLi4W5GqrCjU1Nairq0NERAQWLlzIWe0oKysjFBCxsbF01d3NzQ3a2tqMY6murkZISAjjf6jxJy9evCDmLQLApk2bPui1/D3g7e0Nd3d3RhCfl5eHkJAQXnkjW2Lp6uqq0rlZFRQKBaqrqzV20wQmq/E9PT2C9kM2Xr169a0kUY4ePYoNGzbAxcVF0P11dXUZ8YEQSfXY2BjOnTtHGLqwYWhoiISEBLS2ttJfmowHGh0dJdo/dHV1YW9vTzxOeXk5QkJCNCKz0xCGaTI3jR8VmpqacP78eeL2RYsWcd7f29ubQebq6uroYIMPIpEIISEh8PHxQUZGBmFhz4ZQdzAdHR3MmDEDbm5ucHd3p+UK7M1m+fLlsLGxQV9fHxoaGmi5JpexCRtCN7zAwEAsWLCA106ZXZVTtjb/7LPPUFlZSQexMpkMT548wYoVK3ifz8LCAgsWLEB0dDQ6OjpQXl6Oly9fEsYD3zW+zw6WfDA3NyekjRT8/PxoomZsbMwgboaGhgxJcFFRkSAyR6GkpARNTU1Ys2YNI0MvZNYcMBk0XL9+HdXV1YKeLzw8HHPnzqVltNSM0OHhYeKL6/ZvozL+MWFpackgbra2tjAxMaGTCx0dHSqJnJeXFxISEmiDIb5rXyaT0YkUrvOG7SoITJrtREZGqn0NXK6hJSUlaG5uRllZ2UclunK5HE+fPkVZWRliY2MRGhpKn89SqZRIENja2jLkmVpaWvDy8mKYo7x+/Zogc8DkHsAnvdbEkfT7ApFIhCVLluDgwYP0dSGTyZCeno5169YR91coFISBz1T65YDJpMLDhw+/MzXBd4Hh4WGcPn0aK1euFNR7qKenx7ju1JGt8fFxpKSkEAlVExMThIeHM+SPQ0NDsLCwoGeRKhQK9Pb2oqWlhUHwNKmKU20iXDh9+jR27dolmMhOQximydw0flTga5znk9+wZ4yNj4+jqalJ0MZkYGCAlStXIiQkBHfv3iX6B9RBIpHAycmJJm8ODg4aZTZNTU0RHByM4OBgKBQK9PT0MMgdVzCvDv7+/li4cKFa3TubzHl7e9PHbmFhgZCQEHr4NjAZ6AuZiyUSiegANi4uDu/evcPTp08J97mpQldXlyAwhoaGnJWgT3lD+uKLL/DHP/6RuN3X11dQcPH+/XvCal0Iuru7cezYMcTExGD+/PkQi8VEQqCzs5NwtGxvb8fFixc5CYefnx9WrVqFS5cuMaoBubm5CAsLg46ODvT09DRy0VMoFBgcHMTly5cFB5HOzs5QKBSQyWSQSqWQyWSMr6lKsoBJN0Vl4mZjY6PWAIFLeqyMhoYGGBsbIyYmhu7be/HiBSoqKniDRSFrhpmZGby8vDhJnhDcvXtX5d+9vb2hpaWl9po3NTXFxMQEYZoxPDyMu3fvoqioCAkJCXBzc0NhYSGR7IqLiyP6mX18fBjPW19fj/HxcaLaLJVKOWW3//RP/6TymL/PsLGxQXh4OEPKWFFRgaamJsKRsbOzk5AuakrmWltbkZmZyTl2Qt1xSqVS9PX1fScVeV1dXVhZWcHS0pL+0tHR4TS+UcbExASuX7+O9+/f47PPPlOp8NBk1pxUKsX58+cJ91VqfIKZmRkKCwsZn09BQQE9UF0kEsHc3Bzm5uZ0ZZ1yy2UTPPY4GKG4fPky/vEf/3FK/zsNbkyTuWn8aKAq03727FkkJycTNtVGRkZwdHRkVM+qq6s12picnZ2RlJSEQ4cOqb2vg4MD3Nzc4ObmBhcXF8GOVeogEolgYWEBCwsLhIWFQaFQoLOzkyZ3QowvDhw4AFtbW7X3GxkZIbJyPj4+jN8XLlyIFy9e0NIRhUKBR48ecWZ5VaG7u5uQ86iCt7c3UXGiSJuRkRHn+81VWV2yZMknS+SASWnNv/3bv+Gbb77R2NhAJpPh2rVrhCzYzMwMvb299O+zZs2Cu7s77t27x+g7pT7ruro6rF69Wq2jZVlZGW7fvk08n0gkQlxcHKKioui5VMrnwtDQEIqKioj5ekLQ09ODS5cuaZSAsbCwwKpVq1SOD2ATPOprcHCQN/izs7PDrl27NDr+lpYW4pqOiIhAUVERo7LS2NgILy8viEQiuLi4wMXFBYmJiaiurkZZWRlqamo0Doh7e3s1cpsUApFIhMDAQMybNw8WFhb48ssvGX93dXWFlZUVnj17xrj9pz/9KXJzcxkz3yh0dHTg9OnTsLKyIiqYrq6uRCIPAP1eKb+HdXV1RI9nbm4uQQ7Xr1+v8ZiY7xtiYmJQXl7OqNI8ePAA+/btYxBf9ppsbGwseIB9Z2cnHj16NOUEnb29PZKSkuiETF9fH3p7e9HX10d8CZUTUgRHmbRRP3MZrLATXRKJBF988QUePHjAmKcITPaRdXV1ISkpiXfd5Zo1xwWZTIYLFy4Q+6+hoSF27NhBz2sMDw9nSFZfvnyJxYsX85qqiEQimJmZwczMjDaJUygU6O/vJwiekITP4OCgyhE009Ac02RuGj8aqMqMNzQ04NChQ1i7di0RpHt7exNkbsmSJYJ7pcrKyhjzmfggFouxaNGi70RPLhKJYG1tDWtrazg6OuLdu3dqHf5aWloEkTl2ACiRSAgLZqofLicnh76toqICzc3Ngprk+/r6cOfOHWJjFAIhM7UojI2NMSQpwGQVNzw8XOPn/b6Bz9ggJydH5eDwhw8fEg31ERERsLS0xP379+nbOjo6sHr1ajg7O+P69euE5OfNmzc4ePAgli1bxuloaW5ujtTUVMLqHpiseq9du5ZxrTg5OcHLy4sxGy43NxezZ88W/HkDk1XlGzduaGz1/+LFC1oOzAWRSARtbW3OhAGXeQiFtrY29Pf38zqCcoFdSdbT00NsbCza2toYGfvq6mri2tTS0oK/vz/8/f1pw6SysjKVhh7fFrS0tBAcHIyoqCh6tEFeXh4RMFK9bcpkjqokxMXFITQ0FOnp6ZxJKy4pKtsMi4K+vj5cXV0Z/UFVVVUMMtfX10cYXbm5uX1SRkl80NfXR2xsLMMdsa2tDSUlJQgLC6NvY5M5Dw8PtftlX18fnjx5gtLSUt7Eq5mZGczNzVU6v7548QLBwcFwdXWFsbExjI2NefuEx8bGaGKnqpK2adMmQWMEgMlkprLqBACCg4NhaWmJTZs2ITU1lTBqqaysRG9vLzZu3Mh5nQupzMlkMly8eJF47/X19bF9+3YGmQ4NDcWTJ0/omEgul6O4uFij0SoikYg2kqHOf4VCgYGBAbS0tODixYsq/394eFiwI+c01GOaFk/jRwN1jcwDAwM4efIk8vPzGZsJu8ehp6cHXV1dap9PJpPhzp07uH79uqAGfrlcjjNnziA7O/uD+nWE/q9CocCzZ89w4sQJQVbtt2/fZgTKfGBLLD08PDgzjvPmzSM2KXUN7gqFAkVFRfjv//7vKRG56upqHDt2TNAwZWDS7podOC5ZsmTKjfzfN3h7exN9S3l5eYwKmzLq6+sJa3gbGxssXryYkN5SckkLCwvs2rULCxcuJAK6sbExXLt2jXiP6+vrcfLkSU4i5+joiM8//5wz6RETE8P4fWRkhNPhjguUm+HFixeJYElHRwfr16/H/PnzVT7Go0ePaKdYoWhsbGS4JHJBaJ8gMEmS2dcGda2xA9KamhqV64WhoSEiIyOxb98+/OQnP1H7+j8m5s+fj1/+8pdYtmwZTeTGxsYIouTh4QEXFxfY29sTyabS0lIAk32i69evx/bt2wUlpJRdedlgqwyqq6sZyauMjAxGFZnqN/vUjJL4EBYWRlzrDx8+pKtFExMTRGVIlZJlaGgIqamp+Nvf/oaSkhLO89HIyAhLly7Fz372M2JUgJOTE7G/3L17V5ChmK6uLmxsbODl5aXSGOrq1auCjbeePXvGUCKIRCJ6RI5YLEZiYiKWLVtGnA+tra04evQoZ9JEXWVuYmICV65cIa57PT09bN++nfi8DA0NiXEdz549+yApODD5WvX19QWtgU+fPv2g55oGE9Nkbho/GnAFhmwoFAqkpaXh0qVL9IJpa2sLY2Njxv3UBVe9vb04fvw4kaET8vwPHz7EhQsXpmTDLRRSqRQ3b97E3bt3BS/gCoUCly9fVmnYIpVKiQ2FLyOtp6dHBIds22NldHV14dSpU4RsjwLVwK2MmTNnElKO9+/f48iRI2rlmd3d3cSG4+3tzSm/+lTBFWhOTExw9vsMDw8zhuwCk1XXNWvWQEtLi5BLymQyusdNLBYjJiYGu3btEjTc99mzZ0QlDwBmz56NnTt3cs5AAyZlyuxgOy8vT62camhoCGfPnuUcHWJtbY19+/bBz89PUIXvxo0bgvvspFIpUZXT1taGs7Mz4zahZI5aP5RBzU0EQJC5vr4+wUGqtbU1/P39BUujdHV16V5FdV9smJubIy4ujsjcFxYWEn06lD2+SCQinIYrKioY66ibmxs+//xzLFu2DAYGBrzH/uWXXyI7O5tznWGfXyMjI3S1882bN0QgGxYWJohAfioQi8VYsmQJ47bh4WHaIbq5uZl437jI3NjYGB4/foyvvvoKT58+5dyH9PT0EBcXh5///Oe0GoLdQxcSEkIoCTo7O5GXlyf4NcnlcpWS6rGxMZw/f15tj5hUKmXMpgUm+8zZyYHZs2dj69atxHoyMDCAEydOEBVk9v2Uk01yuRxXr15FVVUV8T/btm3jnPEIgDAoGhwc/ODe88HBQZw6dUqQA2hRUdG3GuP82DBN5qbxo0Bzc7Ng10hgsrp05MgRtLW1QSQSEdU5VcFVdXU1Dh06xGkJzDW8lmujr66uxuHDh9XaCgOaW+NTJhRCnAjZGT2pVIqUlBTeymRdXR2jCsn13ikjIiKCIMoZGRmM7KxcLkdeXh4OHjzIaapgZGSEjRs3YtmyZcTfYmNjsW3bNiKbOzo6irNnz6KwsJC3MpGWlsbIuIvFYsTHx/O+lk8V1tbWhGy0oqKCkV1XKBS4ffs2YSaxaNEi+vw1NDQkAmQ2UXB2dsaBAwcQFBSk0TFqaWlh1apVWLZsmdoB7ezq3OjoKBFgKePt27c4dOgQp3Rr5syZ2Lt3Ly1RYlcAZsyYQQS2ExMTuHDhgiBn2MePHxNV4ri4OOLzoIw21KG+vp64RqKjo+njtrGxIWRcQoni6OgoLl++LLiHzsXFBT//+c/x29/+Vu0Xe51xcHDgfH52gO7t7c2QZbOTNxMTEwS5EovFmD17Nn72s5+pfK0PHz7El19+iby8PMaaZmZmRgTIr1+/hkKhwIMHDxi3U/LWHxrc3d2JJF1hYSE6OzsJsmVra8voFZRKpcjLy8OXX36JJ0+ecJ7X2tramD9/Pn7xi19g/vz59Pn79u1bomru5eWF8PBw4pzJysoSrMDo6uoi1DNsU5eenh5cvHhRZcXvxYsXhMqAr2fX3d0de/fupavOFGQyGS5dusRQ6PDJLOVyOa5fv06QPx0dHWzdupXzOqJgZ2dHvEZV66Q6tLW14ciRI0ScJRKJkJCQgJ/97GeMWGV8fPyDnm8aTEyTuWn8KCCkKscGRXpKSkoIQvLmzRsiqySXy/Hw4UOcP3+eqARoaWkhKSkJK1euJJ5n3bp1nG5Wvb29OHbsGJ4/f66R7FLVfSmSyJWF5OpV27VrF+FuODw8jHPnzhGBPUBKLF1cXFQ2/WtraxPBd2trK705dXR04NixY0hPT+fcRENCQvDTn/4UPj4+nFJRY2NjuLq6Yt++fUTAqFAocP/+fdy5c4fICtfV1RGZzsjISLqB/IeGmJgYgvA+ePCADtxLSko45bPs7C77PWbP7QImM8ZJSUlITk4W3Mu2bNkyQS6bwGSQwjakyM/PJ65XhUKBgoICnDx5kjh3KDnU6tWrGQSOK0MeGRnJOeg6JSVFZea5tbWVkKw6OTkhPDwcnp6eRLVUXSWZqypnYmLC6GUSiUScUkt1UCgUuHnzpkazumpqangTMGxQlUMKXEOOnz59SqyrbKJkaGhIVM4oqSUb+vr6vBVeCsPDw0hPT8dXX32FgoICeg1iP0dVVRVKSkqI5FtMTIzKCuCnjMWLFzPk5nK5HGlpacR5SlXlqL6sv/3tb5wzWIHJ6y48PBy/+MUvEBcXR6xJ7HPVzs4OxsbGEIvFWL58OXHN3L17V9DeyT7fjI2NsWXLFoIMvXnzBrdv3+Z8TCrpyH7t9vb2vM9rZWWFvXv3EqQKmJSu3rhxAzKZjFNmKZfLcfPmTSJZoa2tjS1btgiaJ8q+7pqbmzkVEepQVVWF48ePE6Y/Ojo62Lx5M713sudOFhQUaNybPA1uTJO5afzgQTXxK4PLiXDVqlXE5iGTyXDr1i2UlZUxbmfP0aFkWtnZ2cTjWlpaYt++fQgKCuKUKMnlckRHR2Pr1q3Exj8xMYHbt2/j1q1bHzQ4V5locvUDrVu3jiCsdnZ20NPTw8qVK4m+qp6eHqSkpDCyqnK5nMjyC2n6p5rDlZGeno5Hjx7h0KFDnD0EZmZm2LZtG1auXElnLdkbib6+Pl3FMTc3x+7duzmP5/nz5zh9+jSdUZXL5UhNTWXcx8DAgNfY4ocAythAGe3t7SgpKUFXVxdRcTAwMOB0bmRLLVVJ+AIDA/HFF19wBjJs3Lx5E7/73e9w6tQpZGZmoqqqSqVrGjtBMDY2xpDMjo+P49q1awzCSsHY2Bg7d+5EREQE8frYlbnx8XGIRCIkJiYS8tvOzk5cvnyZUz42MTGBW7duMYJCsViMFStWQCwWQ19fn3hf1FXQqquriWtl4cKFRCWTfZ2/fftWrdzp6dOnBJlnIzo6mrhtYGAAp06dQlZWlsqKHrvS1dXVxVhbRkZGCMmzn58fp4SMPfetpaWFM3lFORwqgy9ZMzg4iAcPHuCrr75CUVERQYh7e3sJuayVlRVB8n9IsLCwwJw5cxi31dTUEGTA3d0dL1++xNdff407d+7w9mfPmjULP/vZz7B06VJeYww2mVP+HOzt7QlyUl9fL6h/i03C7e3toa2tzWlIUlZWxjDuolBZWUkkO4Q46RoYGGDbtm2c8wrLyspw+vRpYg0ZHR3FnTt3iLhES0sLmzdvFuy07OvrS7w+oT3GwGQclJubiwsXLhDxiZmZGfbs2cNYF9lrxOjoKOFAO42pYZrMTeMHj+fPnzMWQ4lEguTkZCIwm5iYwP79+zkrVFwacCq4evPmDa9My9/fn1EVEovFRIBIHZu7uzv2799P9MsAk9llPuMOdTJLqkrARTStrKywb98++Pv7Exl0KpiUSCRYt24dETi1trbi0qVL9PE3NTURQaEQMicWi4meh97eXt4AMCIiAl988QXRh8EOEtiblK6uLtavX89Jyt68eUPLap89e0aQkLi4OI3mlH2K4DI2SE9PR0pKCrFRr1y5kpDHAsIqc8owMTFRKQVShlQqRWNjI3JycnDhwgX88Y9/xN/+9jdcv34dRUVFaG1tpc8XGxsbIgv89OlTDA8Po7OzE0ePHuUM8tzc3HivQYAkc1RiRCwWY+3atcTrb2ho4KwO5OXlEdWABQsWMP6fS9rNV2Wgxj0ow8LCglPO6ubmxiB4XAOelfH27VtkZGTw/p1CdHQ0tm3bRlTiqWPjq+YDk58Xex1TJmB5eXlEEopN2Cl4eHgQ5yZXdY693unr6+OnP/0pPv/8c15p+MDAAO7du4fLly9z/l0ZPySjJD5ER0erdSR88OABrl69yit59PHxwRdffIHVq1cTkkNl9Pb2Eusym1THxsYSn31qaqranln2tUjtdcbGxti0aRPhQPvw4UNGTECRGmXY29sLdqaWSCRYsWIFFi9eTPyN6/qjHETZj7Fp0ya4uroKek7gfyqhynj16pUgQzQqIcW1Nri4uGDv3r3EemhjY0NUtfPz8z8oUT2NSUyTuWn8oCGXy4nMT2BgIExMTIiNoKqqCqampti1axeR4eNCTU0N8vLycOrUKU6Z1pIlS7B27VpCIsHe4JWJpomJCXbs2EHI14DJ4Obw4cNqM+TKAV9zczMOHz7MGawFBARg3759sLKywsTEBGHaoFwZ0NXVxZYtWwjzirq6Olp2wtbt29vbqzW7kMlkePv2rSD5lqWlJXbt2oXExEROd0z2Z8BFNqh5ZGvXriUqFn19fTh06BDDXh+Y3NjZxgo/RHAZG4yNjRFB2OzZs4kNmQK7MtfV1aWyIvPkyRNCaqgJuru7UVZWhnv37uHw4cN09S4jI4OQN42Pj+PYsWM4cuQIZ8Vw/vz52Lp1q0pZMPtaVq4e6erqYvPmzURwW1JSwgj0Ojs7abMICjY2NoQZEJtQDA0N8Y4HePXqFVF9iomJ4SQT2traRMDHJ7UcGhri7JNLSkoi7js+Pg53d3ccOHCAM4itr6/HwYMHOeWi2traxBwyKsAeGhoiemsCAwOJQJGCWCwmJLllZWVEdYPtuDhjxgyIRCLY29tj06ZN2Lt3L6FIoMCu6LHxQzNK4oOuri7i4uJU3oevv9rV1RV79uzBxo0beT9LZbDPUX19fSLxqquri8TERMZtQ0NDKpMRCoWCqMwpJy7t7OyQnJxM/N+NGzfo/rCGhgbiMebNm6dRPzvlerlx40aN58tKJBJs2LBB48HswOSYAuW9kCtmYmN4eBhnzpzhTJIEBQVxJnUosKtzQ0NDnLNcp6EZpsncNH7QqKqqIuR3VCaKHZDW19djbGwMEokEiYmJnNU7ZYyOjiI9PZ1XpjVnzhzOxVwVmaP+npCQgLVr13JWAi5evEiYc7ChUChQXFyMEydOEIEHFbQrv77W1lYiO8aWahgZGXFKQV+8eEFL35TBVZUbGRlBdXU1MjMzceLECfzud7/D8ePH1Wb+58+fjwMHDqiUj7A/Zy4yRyEgIAC7d+8WNLsrISHhRzPclMvYQBlWVlYqTWDYQRk1AJwLubm5BKnhgqpsPRtU9S43N5fznOru7iYMF3R1dbFx40bExcWp/ZzZ16NUKmVch6ampti4cSORKMjMzERFRQVtJMO+5lesWEGsC9RwYmWwrzFgMvh6/Pgx4zZra2uiMqkMrr459npCmSuwkyQLFiwgehIB0OsHtU7ExsYS69/Q0BDOnDmDR48eEc/HrvxTZC43N5cwVVI3D4stWRseHiZkqsrz9gDS8MLR0RFbt27Frl27NJr9+UM1SuJDUFCQ4Oo6MGlus3XrVmzfvl1QXxcFNpnz9PTkvF59fX2JREhxcTFvLxjX8HB2IsjHx4f4TGUyGc6fP885V9Dc3JzzGhECHx8fwXsTMHm+rVu3TvAcPDYMDAwIY7bi4mJeoxdK2cDVCxsXF4dVq1apNKlydHQkkiS5ubkfPBbhx44fR4QyjR8t2MYnjo6OdDbPy8uLcD5TttUPDAzEvn37iGqDKqiTaQHqyRwFqnLG9fz5+fk4ffo0BgYGiIBJKpXi1q1bnMYeRkZG2LFjB0E02QuztbU1Z2aNGnzKXqxzc3MJMuXr64ve3l56aPo333yDP/zhDzh//jxycnLw5s0bwQv48PCw2kZ2IZU5Zdjb22Pfvn0qPytLS0tBPV0/JHBJfSgsW7ZMZdZYX1+fqExxSS0LCws5yRZXhn7Tpk34p3/6J2zcuBHz5s3DjBkzNM5c88HW1haff/45b6WRDS7DFnYSxNHREWvWrCHud/36ddy6dYsgEXPmzOENaoW46L548YKofsTGxqokpuzHHRkZIVzosrOziYq+m5sbZx8ewHwfxGIxFixYgB07dnBeh1lZWTh9+jRjzWCTufb2dgwMDBBr+KxZs4gqHhuWlpZE4ke5ijAwMEAkGfiucxcXF2zfvh07duwQ1Ivk4+PzgzVK4gI13kQdrKyssG7dOrriqUnVSiqVEm0MfOSF6mFlrxFc+yFASiz19PQ4jXHmzJmD0NBQxm1DQ0P461//SlSbo6Ki1CaGFAoFhoeH8f79ezQ0NODly5d4+vQpMjMzUVBQIHigtq+vL6ysrD5oNi1bCTQ0NMTZWlJXV4ejR48SShptbW16DqeQz5Vdnevv7yf6/6ahGVR7PE9jGp8wqEVSGcr6cD09Pbi5uTECltevXzMy2pTb1J07d1BeXq7y+aKjoxETE6N2ERdK5tQ9f1NTEw4dOkT8/4kTJzgfy8XFBWvXruUMrtRlqZXh5OSEdevW4cKFCyo3kLNnzwrS3gvB8+fP0dzcjHXr1vEGSpqSOWCSJLJNb5Shiuj9UKGqEnbx4kXMnTsXkZGRvE6UNjY2jN6ojo4O+Pv707+XlJQQUlZgkijOnDkTf/3rXxmZ8tzcXCQlJcHHx4cmXdRcqHfv3uHdu3eCpbrK8PX1xZo1azQihlyV+rGxMeK98PPzw6JFixiEVSaTEbIkMzMzldb1Pj4+DBlqe3s7+vr66GBTJpMR1U17e3u1vapmZmawtrZmyE2rq6vp872+vp6o9hkZGWHNmjX0+qalpcXI3nNZzM+YMQMHDhzA9evXifmT1PqVlJQELy8vTjKXlZXFeA6xWKy2KkchODiYsa7V1NRgYGAAxsbGhMRSV1dX7Sw4V1dX7Ny5E8+ePcO9e/d47/dDHEWgDkJIrkQiQVdXF7q7uzUmu42NjcQgdlUyVjMzMyxcuJBx/bW3t6OgoIAe4E2BS2LJRUhEIhGWLl2K3t5etc6y9vb2qK+vx+DgIIaGhujv7J+FjvlQhYqKClRUVEBXVxd2dnawt7eHg4MD7O3tYWlpKYhc2drawtXVlXFdFBQUYNasWfT/FxUV4f79+8SeT/UVqnLtZGPGjBlwcXFhXJ85OTm8JnHTUI9pMjeNHyzYGV0DAwNCeuTr68sgczU1NZiYmGAQLh0dHaxevRouLi64e/cu53Nt3LhRcHafTebULejU8zs7OyM1NZVB3lQ5+iljzpw5WLRoEWcPjVwu5zU/4YO3tzeWL19OOLgpQxMiZ2NjA2dnZ5VD1qmewVWrVjHIAd/zqZKpdHd348mTJ2qzgWyS+2OAqn6g0dFRPHr0CE+fPsW8efMQHh5OEBxra2tGsKNMGMrLy3Hr1i3icePj42nnv/DwcIZZT3l5OWJjYxnZcrFYDHt7e9jb29MJmqGhIZrcvXv3Ds3NzSob6zs7O9Hf369RYMlF5vjmv0VFRaG7uxvPnz/nfbwVK1aolHI7OztDT0+PQW6rq6vp1/z8+XPi8+Iac8IFLy8vxmdTU1ODuLg49Pf34+rVq4z7ikQirF27llEt0NbWZgTYfO+1gYEBNm/ejPz8fGRmZjLWO8qcKSoqinBGlMlkRO9OcHCwYNltQEAA7t+/Tx+XQqHAixcvMH/+fM71Tl0QOTg4iCdPnqj8PIHJ+ZRbtmwRdIw/FAiZ4dre3o729nY8fPgQtra28PPzg7+/vyDlC1ti6eTkpDIJB0zueWVlZQxlwOPHj+Hv78/o5eYzP+ECZQZ27NgxdHZ28t7v6NGjKo/t28DY2BiampoY57aOjg69TlIkz8LCgvNcj4yMZJC51tZWvHv3Do6OjkhNTeV0uaT6S4UkTtmIjo7GuXPn6N+7u7uRn58vyAF0GiSmydw0fpAYGxsjhmKzG32Bycy3MkEbGxtDY2MjoekWiUSYPXs2Hj16hOHhYeL5ampq4O3tLSiI0qQyp/z81GDUy5cvq23Ap6Cjo4OVK1eq7J/p6OggnOKEZFpDQ0Px4sULjQmPRCKBo6MjXFxc4OLiwtiYu7u7OV1BKYyPj+Py5cuIiIhAfHw8/V7K5XLCKY9rg+nv78eTJ09QWloqKCva3d2Nt2/f/qgqdOnp6WrvMzIygoyMDOTl5WH+/PmYPXs2XeHic7SsrKzE9evXiceKjY3F3Llz6d8jIyORn59PEwVqfhPb2IANasaYcvXu0aNHnDbiwP/0fqxbt06wcYBEIoFEImFcs3xzkoRk8ql5UXxEQiwWw8vLi1GVp8icVColHGpdXFx4TTvY8Pb2ZszFam9vR29vL65fv06scZ999hmR4NHR0WG416oizpS5g4uLC65cuUKsX3l5eWrXEUq6KRQ6OjoICAhgVENLS0sxb948gsypWu/GxsaQn59PDA/nQ0NDA7q7u2FhYSH4WD9lUPM6NQFF7B4/fgxra2ua2HG5mioUCpUjCfggkUiwfPlyHD9+nL5NKpXiwYMH2LhxI30bm8ypqzDp6elh1apVOHbsmNpj+HtjfHyck+BRFTyK4FlaWsLb2xumpqaMazMrK4vX7dbf3x9JSUlqlQ0TExMYHR3FyMgIRkZGGD+zkZGRASMjI04X3mmoxjSZm8YPEi9evGBkzCkyxoaxsTEcHR0ZmcXXr19zBkRyuZxXVlhcXAwrKysiu8yFqZA5Co6Ojvj88885ZUtsWFlZYf369Wozn+zAxtzcXG3z9dDQENLS0gQROX19fbi4uMDZ2RkuLi6wt7fnbZBmB7XBwcFobm4m3AcLCwvR3NyMtWvXwszMDENDQ5zyD+Xjzc7OxrNnzzRutH7w4AH27t2rUY/Hp4rGxkZUVFQIvv/w8DDS0tJoUhcWFkacb93d3Xj9+jWuXLlCfEbz588nAnRDQ0OEhoYyMsHPnz/HggULVDpNckGd8+vo6CjOnj2LhIQEQQ62wKQkT5ns8FXmgMlr3cnJiZfMXb58GaampoiIiEBoaCjn+Atvb28GmWtoaMD4+DiePXtGJDCEVuUA7qrfoUOHCDMIb29vzmw5O4hT9T5QcHJywv79+3Hr1i3is1E3rDg0NFTtkG82QkJCGGSuq6sLVVVVRFWFy859YmICxcXFyMrK4lVA6OnpwcfHh5E4nJiYQHp6OjZs2KDRsX6qKC8vF1SZ48P79+/x/v17ZGVlwdLSEv7+/vD394etrS1EIhE6OzvR29vL+B+hZh/Ozs4ICwtjKD6qqqrw+vVr+Pr6Ynh4mOj1VkXmqHmV7OHgHwo9PT0YGhrCyMgIhoaGMDQ0RFdXl1o5JzC5XgpV6ACT1+mbN28Ye7e2tjbs7OyIJAtfjOHg4ABfX1+UlpZyEjXl70LWBWXcuHEDnp6eGq/1P3ZMk7lp/OCgUCgISYCPjw9vIODr60uQuaVLlxJBEdccNWWkpqbC3NxcrdzyQ8gc8D+ypTt37qiU/Ozdu5e3r0kZmkgsKalSWlqa2kHDwKTUJT4+XnCAyX5vLCwskJiYiLt37xKSyObmZrrnht0sLhaLYWhoiJGREeTl5aGgoIA3q66jo6Nyw2lpacGLFy9+8OMJ5HI5MRxcKKihyrm5uQQpksvluHjxIvE/kZGRxHxBClFRUXj27BldPZXJZCgoKOC9PxdevXpFBO3x8fF48eIFw8afqix0dHQgMTFR7WwwHR0dwWTu9evXyMrKUvl4fX19SE9Px5MnTxAcHIzIyEhGVYdy7aPei4mJCVRWVhIVRw8PD43MesRiMTw8PBhGB2wiZ2pqiqSkJM7rl03mhM6K0tfXx/r161FYWIj09HRB659EIuEcSq4Ozs7OsLCwYJid3Lx5k3EfKpCloFAoUFFRgYcPH/I6sWppaSEyMhLz5s2Dvr4+9PX1GUPNX79+jfr6+ilZxX9KGB8fFzSDMCQkBBKJBJWVlSqJR1dXF7Kzs5GdnQ1zc3P4+/sTn4GxsbHa/kZlxMXF4fXr14znvX//Ptzc3Ih+OS0tLU7ZtUwmo4k9lzKHCwYGBgRBo35Wvs3Q0JBIbra0tODUqVNqn8PKygo/+clPMDAwgNbWVrS0tKC1tRWtra28Mx25IJVKidFEqtDS0oJr164Jvr+mYDtmT0M9psncNH5waGhoINzdVGXdfX19kZmZSf8+ODiI5uZmwmGOPUeNC1evXsXu3bvV6u6VMRVL3paWFk5nO2XcvHkTK1euVDnsWqFQCCZzXV1duHPnDmEeoApPnz6FkZGRYB0813ujo6ODpKQkzJgxA/fv32f06YyOjuLChQuEpElHRwfZ2dmcw4YpaGlpITw8HP7+/molM5mZmfDz8xNEjj9VlJSUELPK2HB2dkZCQgIeP37MOZtsYGCAcS3xITQ0FEuWLOEl+aamppg5cyaj4lFUVIR58+YJ+gzkcjlhDGJnZ4c5c+YgLCwMN27cIK7n4uJidHV1Yd26dSqDCfbz851fTU1NRO+ZKoyPj6OwsBCFhYXw9vbGnDlz4OrqCj09PcyYMYMhP75x4wbx/1Mx3vDy8uJ0rQP+pz+IrzeJ3eunSQZeJBIhMjISzs7OuHLlilrzmtDQUMFW7eznCQkJYZyTbMLq4uJCrzsNDQ3IyMjgnecnEokQFBSEmJgYRnJw4cKFKCsrYwT6qamp2L9//w/a0CEnJ4foVV6/fj0yMzMZe3BDQwN++tOfIjExEW/fvkVFRQUqKytV9lX39PQQlv8ANK7O6uvrIz4+niHx7u/vx+PHj4kkoK2tLePzksvlKC8vx+PHj4nqIB8sLCzw05/+dMqfe2dnJ86dO0dcTyEhIQgICMDZs2cZ921oaIC7uztMTEwYieSBgQEGuWttbf1ohmTfNnp7ezUaSTONaTI3jR8g2FU5KysrThmN8t+trKwYWfzXr18zyJxCoSBkQVTw9OjRI/o2qVSKlJQU7Nu3j7cp+EPJXEVFBa5fv847B4ZCZWUl2trasHbtWt45QJ2dnUSmkU3mZDIZcnNzkZ2dPSXimZGRgdHRUUESML73RiQSITQ0lO4ZZGdr2b9TRh1cEIvFCA0NxYIFC2BsbEwEDIaGhli5ciXOnz9P3zY4OIjs7GwsWrRI9Yv9RDE6OoqHDx8ybrOxsUFsbCyjqvb27VsYGhpi8+bNePfuHR4/fszZT6EKs2bNwvLly9WeC/PmzWOQudHRURQXFxNudFwoKysjEjoxMTEQiUTQ0dHBunXr8PjxY6Jq1tjYiKNHj6ocZCyExLS3t+P8+fNqr1E+VFdXo7q6Gra2toiMjIS7u7vKXlIfHx9igDIbCoUCIyMj6OnpQU9PD3p7e3lJCzBZxVT1mFOtzCnDwcEB+/fvx+3bt3lJJTBJ5JuammBrawsbGxv6u4mJidrzKCgoCA8fPuSVyM+YMQPt7e3IyMhQKV339vZGXFwc53mhp6eHzz77DHfu3KFv6+joQHFxMcNB+YeE3t5eQm7o4eEBX19fiEQixrrR29uLwsJCREVFYcaMGZgxYwYSEhLw7t072o2RLXfkw7t37/CnP/0JTk5O9JeDg4NKIyEqMaQsWywoKCCqcFQSlurTy8zM5BytQiEoKAhGRkaMPaS7uxtv3rxRGXPwoa+vD2fPniX2ZD8/P3rNZMcqBQUFnBVgY2NjRg8xMLmPKRO8lpaW75TgaWtrQ09PD/r6+rSjJxdqa2t/sNfNt4VpMjeNHxR6e3uJilVERITaDd/Hx4exQFZVVTECd65Fz8/PD1ZWVujq6mJIAAcGBnD+/Hns3LmTc4OZKplTKBTIyckhgm5V6OnpwbFjxxAfH8/5PrCrciYmJgynr6amJty5c4fXucvX15cguW5ubkTgmZOTg9HRUU75qjLUOX3a2dnh888/Vxv8cYHKqi9cuJDxGtkVGh8fH3h7e8PLy4tRfXr69ClCQ0N/kMYGT548IQKIJUuWYMaMGdDV1WVUnyoqKjB37lw4OTlh69atePPmDR4/fqySbFDw9/fHqlWrBMlura2tifMrPz8fERERKofSTkxMECTNwcGBMVtNJBIhNjYW1tbWuHnzJoN0UddMcnIyMY8NIMkcuzLX29uLs2fP8lbsKPj6+iIqKgpPnz5FZWUlJ9lob2/ndP9kg0osjY+Po7e3l0HYqN97e3sFV89cXFzUBlMfg8wBk5XO5ORkSCQSle6yHR0dRGCtp6cHGxsbmuBRJE+5empsbAxPT0/OSjIwWZFWtaY6OTlh0aJFaiWsISEhKCoqYlS3Hz16hMDAQLXOi58i2BJZat6cSCSCj48PYT2fnZ2NkJAQ+r0QiURwdnaGs7Mz4uPj0dLSQhM7dVWwoaEhVFVVoaqqin4sGxsbODo60gTPysqKXmcoM6JvvvmGPmaFQkHsa/b29njz5g0yMzNV9oMrE3uZTIby8nIGGc3KytKYzA0PD+Ps2bNE35qbmxtjJEhERARjNEZ1dTV6enoEVbKMjIzg7e3NWNcGBwdpcpebm6t2jZBIJNDX16dJGfUz+3f2z3p6eox1OyUlhfeaLCsrmyZzGmKazE3jB4Vnz54xgiIdHR3MmjVL7f/5+voysmudnZ3o7Oykh9OyA35LS0t6s1ixYgV6e3sZi39rayuuX7+O9evXE4HrVMicTCbDnTt3CIdOIaB6oZqamgjZJdd8OZFIRLsV8vXkmZqaYunSpbCwsCDI3Lp161BaWoq0tDTG7c+ePcPY2BhWrVrF25fElqZwvTdU8Ofi4oLU1FRBrpQBAQGIiYkhhg339fURzfvU2IP4+HjU1dUxepV+iMYGnZ2dRDXb19eXzvb6+fkxTCRevXrFcJ+khio3Njbi0aNHKoOg7u5uNDU1wc3NTdCxzZ8/n3F+DQ4O4sWLFwgLC+P9nxcvXhCyPaoqx0ZgYCAsLCxw4cIFRrJmfHwc58+fx6JFixAVFcX4X7bMUjn4GRoawtmzZ4l+FSpDrkzMmpub6WCWqlw8f/5cLQnkwu3bt9HT0yO4n0cdFAoF5HK5yv7BD5FZsp+rqKgIL1++1Ph/R0dHCTMHYHJ9Uq7iOTo68gaOfBJPS0tLxMXF0ZUmdRCLxUhISGD0Oo2MjODx48dqnVg/NXAZJYWHh9PmRyKRCIsXL2bI10dHR5GVlcU5YFwkEsHR0RGOjo5YtGgR2traUFFRwetEy4ZCoaAdMqk9S1dXF05OTjTBc3R0RHR0NDE/URmPHj1S2dPn4uKCuLg4hvuplpYW5s2bx3D0bGhowJs3bwS5QgOTCaFz584R5NLBwQEbNmxgkKCgoCBkZmYy1onCwkJBg9u5YGRkBC8vL7i6uqK0tJT3Oo6OjkZ0dDS0tLQ+2Aysrq6O93oEJquvXV1dGs8j/DHjhyvmnsaPDjKZjCAfwcHBgnpsHB0dCVkkFUQqFAqCzPn5+dELmpaWFjZs2EBkxl6/fs3ZHK4pmRseHsaZM2c4iVxoaCg+//xz4nYuB8vKykocOnSIllYpFAqi/83FxQXl5eX4+uuvOYmcSCTC3Llz8ZOf/ATe3t6Ey6SRkRH09fUxd+5crFy5klj0y8vLcenSJV75mdD3RiQSISIiAuvWreP8OwVvb2/s378fa9euJYgcQLod6unp0RlVKysroteSMjb4ISEtLY1BiCUSCRYvXkz/zh5r0dzczJk5p4YqJycn8z5XW1sbTp8+jTNnzqiU+FFwdHQkiF9ubi4vgeeqyjk5OakcMOzg4IB9+/ZxSpEzMjKIyh0fiRkfH0dKSgoh73RxcUFycjIx3mJgYIDO5puZmSE+Ph6//vWvkZiYqHH1t7m5+aMROWBSTnvr1i1eaSLwcSpzUqkUN2/exP379z/KAGUKfX19qK6uRk5ODq5evaoygGfDyMgIy5YtwxdffMFY54XA1dWVmIFZVFRErJOfMriMkvT19RETE8O4zcnJiVg7ioqK1PZHikQi2NvbIy4ujqGg0BRjY2Ooq6tDVlYWUlJS8F//9V8oKSlR+T98RM7GxgabNm3Czp07OQlaaGgo0X+nzviIgkwmw8WLF4n10MrKClu2bCHiFx0dHYSEhDBuKykpmXIyhcKTJ09UfjZlZWUQi8UfTOTkcjmR6NXX1yfUFupmwE6DiWkyN40fDF6+fEk4LAot1VPSEGVQgf779++Jniw/Pz/G75TDJNtsJC8vjyBFmpA5ahYWV7UjPj4ey5cvh42NDVHRWrZsGWdvUW9vL44dO4aCggL09vYS0tGcnBxcu3aNc1Ozt7fHvn37EB8fTwe07CBFmUSGhIRg7dq1xLFVV1fj3LlznBUITd6b5uZm3iHuwKQL4KZNm1Sa0XBJLJWPYeHChYQZhtBq4KeAmpoaIkM6Z84cBplwc3Mjzmu+8QUikYggM1yor6/HkSNHcPnyZZXDd4HJ6pwyenp6eJ+/pKSEkCnxVeWUYWxsjJ07d2LmzJnE3168eIFTp07R1TYumeXExAQuXbpEBGQ2NjbYuHEjtLW1YWlpSQRm7Kqwjo4OIiIi8LOf/QybNm36VtwQRSIRzMzM1FZHy8rKVM4c/FAy19vbi+PHjwtWGyQkJCAsLAzOzs7fqhGRi4sLBgcHUVZWRs+M06T3cfHixYw1RKFQ4MGDByqJ8acELqOk2NhYTilpXFwcY/2fmJgQ3CYwMjJCJI22b9+On/3sZ0hKSsLs2bNhb2+vEbkQOp+VgpmZGVavXo39+/ernCNLVeeUUVdXp3bchlwux7Vr1wiJuqmpKbZt28ZrxMSOa8bGxj6I/LS1takdt9DX1/dRCFZJSQkhl160aBFCQ0MZt5WVlf1grpnvAtMyy2n8IMA1jsDd3Z2zGsMHX19fPHv2jP69ubkZAwMDRMBvYmLCOYuGmut29uxZRrB/9+5dmJub08GTUMJSX1+Py5cvE+5r2traSE5OpsmnRCKBpaUlg1h1dnZi8eLFmDFjBm7cuMEguVRmlcuGnmuz09HRQWxsLCIiIghixiZz7Pfb398fOjo6uHjxIiMgamxsxOnTp7FlyxbGhsV+fD7SVF5ejps3b6oke/X19ejo6OA1shgcHCR6Btkk/YdsbDAxMYHU1FTGbUZGRoQFvEQigZ+fHyOr/erVK85kwdjYGAoKCgQfA+VqFxISgoULF3I6Frq5ucHe3p5hI56Tk4OAgABGcCWTyYhsuIuLi2BCpK2tjdWrV8Pa2poION+9e4cjR45g48aNnGTuxo0bhBGMqakptmzZwugRcnR0ZFR23717R5xz1H2p3pb29nYUFBSorSoow8jICGZmZjA3Nye+m5iY0KMO/vrXv6o0QMjPz4eRkRHnZ/0hZK6urg5Xr14VNN6EgoGBAZYvXw5gcr3v6+tDR0cH2tvb6e9dXV0fnGjhSxRQ76mpqSlMTU3pn6nvFME0MzNDVFQUY6B7fX09qqur1Y6t+b6DzyiJT/Zsbm6O8PBwxprw8uVLzJkzR61hD3tt1tLSgrOzMz0+gBosLZVK0drainfv3tFfH8PUIyEhAbNnz1Y7qoRCWFgYcnJyGInQrKwsbN68mfP+CoUCd+7cIeILAwMDbNu2TaV7q4WFBby9vRn+AAUFBQgLC9O4ciaXy3H79m0GcRKLxThw4ABu377NGFmQk5ODoKCgKTt1jo2NEcZktra2CA4ORltbGyOG6+3txdu3bwVLVX/smCZz0/hBoLm5mZgZI3QIMAVXV1fC7OH169cqJZZsuLm5YdmyZbh9+zZ9m1wux6VLl7Bnzx5YWVkJ6gsrLi7GvXv3iMDE2NgYmzdvJqpN1tbWDGJF/UzJDK9evarRHBkKPj4+SExM5LWDVlWZo+Dp6Ylt27YhJSWF8d62tLTg5MmT2Lp1K71xqSO6CoUCjx49YgRKfKA2qV27dnFuPmyJpY6ODuew+JCQEDx79gxtbW30bT8EY4PCwkKiihYXF8dZ9QgICGCQiZaWFs6m+2fPnmkUoAOTn+nz589RVlaGiIgIzJ8/n/G+ikQizJ8/H5cvX6Zva29vR21tLWN4cHFxMRHExcbGahTciEQiREdHw9raGteuXWMQlP7+fpw4cYI4x7mCf319fcZ5TYFN5oQMW7a1tYW/v79KMpeYmMggbWyixYWGhgbi/Vq0aBEePnzIWHfS09NhZGRE9B5PpWdOoVAgNzdXpbskH3JzcxEYGAiRSERXF83MzBhmDjKZDJ2dnQTJ+xjB/eDgIAYHB3mrLXp6ejS541oXLly4gH/5l3/5pMebcBklJSQkqAzuFyxYgNLSUsban56ejh07dqi8NtktABSRY0NbWxsuLi6MoL+/v58mds3NzWhpadHYWbagoAB9fX3w8/ODk5OT2nVEW1sbUVFRjGp2TU0NWlpaeCXc7GtaR0cHW7duFdQrFhERwSBzymMKNEFhYSGhKJg/fz6sra2xYMECnDt3jr69u7sbL1++FORDwAU22QUmFUZisRj29vaEU+eLFy+myZxATMssp/GDQFFREeN3U1NTRqAnBBKJhHCvy8/PJyQlXJl0ZYSGhhKZ7NHRUaSkpGB4eFglYZHL5UhNTcWdO3cIIkfJHLlkg+wAU1nGYGpqih07dgiydKdgbGyM9evXY8OGDbxETi6XExI5LjIHTFZIdu7cCUNDQ8bt79+/x4kTJ2gZq6r3Znx8HJcuXeIkcm5ubvjNb35DSF3evXtHnBsU2GTOy8uLM1igjA2UQRkbfKoYGhoi5rA5ODjQ2W423NzciACV7SYqlUqRn5+v8nmNjY0RFxfHOftQJpMhLy8PX375JbKzsxnkwM/PjwhwlM0RpFIpYZbg5uY2JXtwYLJKv2fPHuLcl0qlanv9tLW1sWXLFk5VALsa0dLSoraSxFVBZYNyqbO2thZE5AAQ8kY7OzvMmzcPK1euJO578+ZNwrZf08rc2NgYrly5gszMTILIWVpaEnJaNtrb21WaJgCT1Rs7OzvMmjULixcvxpYtW/DrX//6OxkpMjo6ivb2dlRVVTEMg5Txu9/9Tu0sx+8r+IyS1Ml1DQwMiGp/U1OT2jmpbDKnzk1UGSYmJvD390d8fDx27dqFX/7yl5xqGlXo6elBfn4+jh8/jr/85S+4d+8eGhoaVF6vs2fPJqSRXL1zubm5hKxRIpFg06ZNgo+TS3nE/nzUobe3l6i0Wlpa0p+Xh4cHQUSzs7OnJH/s7e0l9gdvb2+afIpEIoIkVlRUTHm8y48N02RuGp88BgcHicBy9uzZU5ICsGUw7IZgAwMDwsiAC4sWLYKvry/xWMqzdyhQhIUiK0+fPiXu4+fnh127dvHOrmNLCdkVM8rUYtOmTWqrScbGxoKa/3t7e4nKGR+ZAyaDxV27dhHVit7eXpw4cQIdHR28owmo/ho2AQMmP2tKzrZw4ULCPCIzM5PovRgZGSH6FFSR9BkzZnAaG6iaQfR9xqNHj4iexYSEBN7PWywWE+8PuyJVUlJCZF3ZJHhgYADOzs74xS9+gfnz53OS57GxMTx8+BBfffUVioqKMDExAZFIRBB1ZRfDZ8+eEQ6SbEMGTWFra4t9+/ZplBkWi8XYsGEDr4SMfbtUKlVrjlFUVKS2r/Du3bsqXfjYGBsbIxQHFJEPCgoiyA+lLlCuJLIrc6rIXFdXF44dO8ZZxfT19cW+ffuIio+Pjw8RrHINkVaHsbExtUmGpKQkJCcnY9GiRQgPD4e3tzcx4uBjQXl49acEdq+wRCJBfHy8oP+NjIwkEiMZGRm8xGhkZIQgvUIdcJUhl8tRVFSEr7/+mlDuaIKBgQEUFRXh9OnT+NOf/oRbt26hpqaGIBo6OjoMp19gcsyR8nM/f/6cMEYTiURYt26dRsknygSM/VzqDGYoKBQK3Lt3j7huV6xYQa/LlFJBGZ2dncTaIQSZmZmMeEEsFjOMtgAQPcujo6NqSf80JjFN5qbxyeP58+eMRUIikRDNtELh6empUiPv6+sriCSKRCKsXr2ayLK9efMGxcXFjNvkcjn6+vpw/Phxem6OMubNm4d169apzLizydzg4CCn3M3b2xs7d+5UeewDAwM4dOgQcnNzVTrksYNQAwMDovLGhqWlJXbv3k1UWQYHB3HixAmGlBGYJLpv3rzBkSNHiM2dmh20bNky+jPT1tbGihUrGPeTSqW4e/cuI5tYVVXFCCS0tLTUVnIXL17MIB8KhQKpqamfXJN2W1sbcQ7OnDlTbZIiMDCQ8XtraytdUZ2YmCACbQ8PD0RERBABeWlpKfT19REXF4df/OIXvImXoaEh3Lt3D19//TXKy8sxc+ZMIhFAzUViV+U8PDw+ijzH0NAQ27dvFywrSkpK4pTqUjAyMiKCWlVSy6GhIaICbG9vj9WrVzNuGx4eJs5xVWBnvEUiESOQioqKwpw5cxj/I5VKGW6d7PWIT2ZZVVWFI0eOcJLWzz77DOvXr4euri4hA3dxcVFJ4IUiOztbLdGtrKxEYGAg5s2bh6VLl2LTpk344osv8C//8i/47W9/i/3792Pjxo1ISEjA3Llz4e/vD0dHR7XrHRc+xcpcTU0NUZmdO3euoNlmwOT6+tlnnzFu6+zs5B19w67KaWlpcUoVVeHt27c4evQo7t27R/SdfwiGh4dRUlKClJQU/PGPf8S1a9dQWVlJk6Lw8HAiYUqpSSoqKhj91xRWrlw5pX7KoKAgIuEgtDr36tUrotIdGhpKVEB9fHxga2vLuC0rK0ujfe/du3fE6JHZs2cTe4OZmRnx/NOulsIw3TM3jU8acrmcYVoCTAamfC5Q6qCrqwt3d3deOY86iaUydHR0sGnTJhw5ckRlzwa16bArC2KxGCtWrEBwcLDa57KwsIBEImGQ2o6ODk5pihCDir6+PmRkZODx48eYOXMmIiIiCHmnkH45LpiammLXrl04e/Ysg7yNjo4Smfva2lo0NDQQFUA9PT2sX7+eM1vr6uqK0NBQRqBQW1uL8vJyOihnZxY9PDw4B7wrgzI2UJbNfGrGBpSznjK0tbUFydBmzJgBQ0NDRmD86tUrREdH48WLF4yhucDkXCKRSITg4GBGJvrVq1dISEiArq4ujI2NsWzZMsydOxePHj3inDXW09ODa9euwdbWFlZWVoznqa6uxt27d4mkw1SqcuPj4+ju7kZPTw+6u7vpr56eHkEueEuWLOF0w2TDycmJ8XjNzc28ySeuCmpiYiKcnJxQWVnJqFRXVlbi1atXBOnmAjtA8vLyYhATkUiE+Ph4DA0Noby8nL6dGmy8e/dutTJLhUKBx48fc8rM9PT0kJycTI+MGB4eJtYTFxcX2Nvb49GjR4zPPCcnh9dUgo3e3l5C6eDl5QVra2uGzK2qqgoNDQ2c64menh7s7Ox4XXFlMhn6+vrQ29uLvr4+9PX14f379yqrF3x9VN9H8BklqZPFsjFz5kw8ffqUUaWi9hc2IeEamcNVxefC4OAgMjMzeaWu2tradB8fn/OuqakpZs2ahcrKSpVV8bGxMZSXl6O8vBza2trw9PSEn58fQkJCGOdXZWUl8vPzOSXG8fHxgvZ4Lujo6CA4OJixp5eUlCA2NlblfjYyMkLsA0ZGRkSlDPif6tyVK1fo29rb2wXve1TSUxl6enpYuHAh5/2DgoIY5jc1NTUYHh6eckz3Y8F0ZW4anywmJiZw8uRJgih9qMsgWx5JQVdXV2OpB2VYoqqq1tXVRRA5fX19bNu2TfAiLxaLiWoXlwSwtraWNxvKBZlMhpKSEhw6dAgnT55ERUUFXdFS52SpCoaGhtixY4eg6gmbyFlZWWHfvn0qP4vFixcTc38ePHiAoaEhev6QMoSS9Hnz5hFS17S0tE9G119ZWUm4xM2bN0+lcxoFLqnlq1evIJfLicqYi4sLnUgICgpiyDelUikhi7awsEBycjL279/POxOuvb2dc8YfFzFxcnLifIyRkRE0NzejvLwcWVlZuHHjBo4fP44//elP+M///E8cOnQIly5dQkZGBp4/f47GxkbBduYdHR2CTEDYUku+ypyqCqpIJMKyZcuICsC9e/eItYSN3t5eIljm6pUUiURYtWoVYajQ29uLc+fOEUGpMpkbGRnB+fPnOYmcra0tPv/8c8bnzK7KaWlpwd7eHhKJhJCt1dTUCK5uZWRkENKu+Ph4REdHE8Ehe96iUFDuih4eHggNDUVMTIxa9canNKpAE6MkVaAGiStjaGiI0xJ/Kv1ycrkcBQUF+H//7//xErmAgAD87Gc/w/z581W2EPT19cHKygo//elP8ZOf/ASxsbEqR9wAk+d/ZWUlrl27xvma0tLSiL0sOjqaOL81BVtqKWRMQXp6OlGtTkxM5OxlBib3R/b+LrR3rqKigjANWrBgAS858/f3ZxB3uVzOmeSbBhPTlblpfLLo6OjgdGg8evQoJBIJtLS01H5n3yaRSDjnnwH/k4UTi8X0fSUSicrfxWIxDA0NkZiYiFu3bgl6XZaWlti0aZMgRytl2NjYMAgcm2yNjo4KPgYuNDU1oampCSYmJpg9ezZBCoRW5ijo6elh8+bNOHv2rNp5PBQ8PT2RnJzMu+koP/ayZcsYPYojIyNITU2Ft7c3EeAJrazp6Ohg0aJFjL6X7u5uFBQUEJKw7xukUikxN8zU1FQjY5yAgABGJby9vZ1z2OyCBQvon42MjODl5cXofSgtLeWsRtnZ2WHLli1obGxEZmam4PNCGeHh4Xjz5g1nle1jyq3YKCkpwZs3b5CcnKzSxIBN5igSqJxJF1JBpYZbK2fMR0ZGcOfOHWzYsIE3WGUHenp6eoTxEwWJRIL169fj1KlTjIpKe3s7rl69yrgvRWTb29tx8eJFzt6dmTNnYsWKFURyiy2ddHJyoqXToaGhyMrKYsjGc3NzsWbNGs5jVn5Mrl5qKiiNiYnBvXv36L+1tbXhxYsXxEBmTZGXl0c8Lxtv374VXEX9e0JToyR1cHNzg5eXF0P5kp+fj9mzZ9NJsuHhYSIRqS6J2tTUhHv37vH2MFtbWyMxMZHxOKrG2gCTiRFXV1dYW1vTzo49PT2orKxEZWXllNYmZYSFhSE2NvaDHgPgHlNQWFjIO6agsbGRcNH09vZWmdAUi8WYP38+bty4Qd/W3NyM+vp6lbJymUxG9AdS4yr4oKurCx8fH8Y1RDkdT4Mf02RuGp8kFAoFDh8+zPs3mUz2rVRLbt68+dEfUxlubm5Yt27dlCzv2WSKTeYePHhAVDFnzJhBkLLExES8e/eOrrqw0d/fzzn4ta6uDmNjYxgfH8f4+DikUinjO9fP6jZUNtzd3fHu3TtYWVnB1NRUZXbV19cX/v7+DOlmeXk5YaLCNRRbFWbOnImioiLGZp6VlYWgoCCiGvh9Qn5+PmEEs3jxYsHuh8Bkxc3IyIhR/WFXXxwcHIhqTkhICCPYePv2LTo7O3mrua6urti9ezeqq6uRmZmp1iREGSkpKYLv+7FBGX3ExcVhzpw5nOcnNeiYymorFAq0trYyqg8VFRXEdTl//nyighoQEICKigrGOV5VVcWQFCtDoVAQLpYBAQEqJWy6urrYsmULjh8/TvdIAqSsUiaToby8HLdv3yb+Rsk2IyMjOd8Trn45Cjo6OoiMjGT0Dr58+RKxsbG8PVsKhQJpaWmM29jSrrCwMBQVFTHOrYcPHyIgIECt5JoPdXV1yMzMZNymq6uL3bt34/z584zrLz09HT4+Phpdf981Hj58qJFRkhAsXrwYtbW19PkvlUrx6NEj2kWVXZXT1tbmlaQODAwgPT2dIQVWho6ODmJiYhAREcFrrkUhJCSEQXLGxsZw+/ZtbN68mX695ubmiIqKQlRUFD2DllI7aFppDQgIgFwuFzzHThXYYwrev3/POaZAJpMxxiYBk+/R0qVL1X6mM2fOJBJ3WVlZcHd35/3fp0+fcu456iSzs2bNYpC55uZmdHV1aZzg/jFhmsxN45PEh2wm32d4e3tPeegt2wRFOUtZVVVFBHEeHh7YtGkTvvzySwbJe/v2LZKTk7F48WIUFxfj2bNngpzyampq1FqHfyiUAzRK3mRlZUV/p36mgrHExETU19czKjLsQFOTPkhg8txLSEjA0aNH6dvGx8eRmZmJVatWTeVlfevo7+8npJBcDp3qQEkt+cY9AP/TK6cMqidL+TwqLS1V2asnEong4+MDLy8vlJeX4/Hjx0Rg8G3AxMQE5ubmsLCwgIWFBczNzdHR0cEpGeTCxMQE0tLSUF9fj1WrVhEEX1tbG7a2tox+0Xfv3tFkjq+CyifHWrp0KRobGxl9g/fv34ebmxshCX737h2DkAHcEks2DA0NsXXrVhw7dkzlWnDt2jXO/127di2vU59UKiWkpmz5dUREBPLy8ujqHzWvjhoizkZ5eTnxmAsXLmRIuyjJpfIcrcHBQeTm5k6pYtLT04MrV64QQX1ycjJsbGwQHx+PS5cu0bf39/cjNzf3g11Xvy20tbURkvxZs2YJcnNWBWtra4SEhDAeu7S0FHPmzIGNjQ1nvxzXyJqCggI8efKEV9o8a9YsLFq0iNcBmp1IDAgIoBMSFKi2BK6h6MbGxoiIiEBERASGh4fx+vVrvH79GnV1dYL28NOnT0NXVxeenp7w8vKCp6fnlAx1gP8ZU6Dc31dYWEiQuaysLOL6j4uL4x0/pAyqOqdMBt+8eYOmpibOa3toaIgYIzRjxgzeNhZleHh4wMDAgLGmlZWVfZRK5g8V02RuGtP4HiE1NRVpaWlwd3dHYGAgfH19BVeN2JW54eFhDA0NQSQSEQ5aurq6WLFiBSQSCSIiIhjZ5FevXmHRokUwNTVFTEwMoqOjUVFRgYKCAkFDjr8ryGQytLe3c/bPmJiY0ATP3Nyc15ZaJBIJ2lzYcHR0RFBQEIMgl5aWIjw8/HtpbJCZmUmQ2CVLlkwpKRIQEMBL5mxsbDglqxKJhDZAoPDixQt89tlnavuLxGIxgoKCEBAQgOLiYkJ+qCmogdNswkZ9Z1dKOjs7pyRPrq2txcGDB5GUlET0ATo6OjLInPLsury8PKJPLz4+nreCY2hoiGXLljGGqo+OjuL27dvYtGkT4zNmJ3QsLCx4+wvZMDc3x5YtW3Dy5ElBvYHA5Otcv369yp5M9qw9kUhEHJO+vj7CwsIYIwZKS0sRExNDkGWpVEpUxywsLDilXZ6envDw8GD00Obl5SEsLExQHymF8fFxXLhwgZDxxsbG0i651Ew25ZEoubm5CAkJERRMf5fgk/nGxcV9lMePiYlBeXk5vSYpFAqkp6fTEmtlsPvl6uvrcf/+fV5jEltbWyxdulRtPzabzInFYiQmJqKhoYGhPEhLS4OHhwfMzMx4H8vAwAChoaEIDQ3F6OgoampqkJGRQZhCsTE2NoZXr17RVShHR0d4eXnB29sbdnZ2gtdnkUiE8PBw3L9/n76NGlNAVa87OjoIx2FHR0fMnj1b0HMAk4mfrKwsxvqUlZXFSeYePXpErBPx8fGCXpNEIkFgYCDDmbOsrAwxMTE/2ET+h2KazE3jk4S6StHixYvh6OiIiYkJWnJJ/azuO7XA8sHW1hYTExOQy+WYmJigv5R//5DmdoVCgbq6OtTV1eHOnTvw8vJCYGAgvL29VUpyzM3NoaWlxZCXdnR0oKSkhDBFSEhIoAOIsLAwZGVlMTbWwsJCulmdCsRnzpyJ5uZmFBYWfu/tgvv7+9Hf30/MkmNDoVBMeZZUXFwcKisrGRvWgwcPsGvXru/VhvPu3Tvi8woNDdV4iC4FFxcX6Ovrc46+4KrKUQgJCWGQucHBQdTW1vL2a7GhqRyJIvIUYaPImpmZmeDHGhsbw4ULF4igxNjYmFHNdnJygouLC2F8MDQ0hHPnzmHOnDmIi4uj5UWOjo4McxNKstvX10dUUF1dXdVWj/39/REYGMgwCqipqcGLFy9oEyWZTEasa2xzGnWwt7fHxo0bcebMGbVrXGhoKBITE9VKqtj9cra2tpzX5Jw5c1BQUEATv4mJCTx9+pSo7ubl5RFBdHx8PO9nHh8fj4MHD9KvRyaTITMzkxj/wAeFQoFbt24R/Vp+fn6MGV0ikQhLlizBoUOHGM+VkZGB5ORkQc/1XYHLKIlL5jtVGBsbIyoqitGPV1tbi5cvXxKSaooo9PX1IS0tjXNWITCZoPzss88Ez5hlV88kEgn09fWxcuVKhlR7fHwcN2/exPbt2wVdK3p6eggICOA8D9WhubkZzc3NePz4MYyMjODp6UkP1la3TwUFBRGy2KKiIsTHx0Mul+P27duM10y5ZWsyj1cikWDevHmMXtOGhga8ffuWUbHt6OggqrpBQUEaJTqDgoIYZK63txdv3rzRaHj8jwnTZG4anyTUDZIsKCjAgQMHptR7VlVVpZLMhYeHc8oulKFQKBgEb3R0FIcPH9bYgGFiYoKWb2hra8PX1xcBAQGc8/DEYjGsrKwYGf/s7GyC0Hh5eTGkVfr6+ggODmZUW4qLi7Fw4UKid8TR0RFLly7lJXM+Pj7Q0dGBtrY247uqn3V0dCCTyfDNN99w9jkaGBhgzpw56OzsRFdXFzo7O3lNaqaC3/3ud7Czs4OjoyP9ZWFhoXbjNjY2RnR0NKMK8H0zNuDKsFNBj1BQFdCWlha0tLSgtbWVk8gBIGQ9yrCxsYGjoyOjultaWiqIzFHmPZoMqw0MDER0dLRGwYoyFAoFbty4QTj5zZo1C35+fgxznZ6eHuzZswceHh64fv06kTx5+vQpGhsbkZycDCsrK6Ly1N/fj4GBAWRkZBDz34RWUBMTE9HY2Mh47gcPHsDd3R0mJiaoqqoi1h+h8/OAyWC6trYWdXV1KomcRCJBYmKi2jWSApvM8VVUTExMEBQUxOhrevbsGebPn0+rFwYGBojqg5ubm8pzzMbGBqGhoQxyXVZWhsjISEHBJ5fhibW1NVatWkV8bra2tggLC2OYCL18+RLh4eEfZS7ix4BUKiX6DVXJfKeKqKgoFBcXM85XtqkOJUnOzs5GdnY272D64OBgLFq0SCOZIldlDpjcH9n9c42NjSgsLERkZKSgxy4oKCBmpirDzs5O5d+ByWRXaWkpSktLIRaLMWPGDLpqx9U7pquryzmmICYmBqWlpYRhS1RUFDE/TghCQkKQlZXF+Nyys7MZ40LS0tIYawTXnEF1sLe3J6SjZWVl02SOB9NkbhqfJLiGayujv78fd+/eRXJyssZVErZBBhsPHjyAi4uLSvdGkUhEZ6QVCgXu37+vksi5u7vDwMAAVVVVvBuWVCqlZ9ro6enBz88PgYGBcHV1pTciGxsbxibBJnJ6enpYsWIF8Z5ERkYyyNzY2BhKSko4Ny++9ycyMhIJCQm8r1EV2EGsMvT19RkZboVCgaGhIXR2dtJfFMmbSk/VxMQEnRFVfk5lcufo6MhppTxnzhw8f/6c0RT+fTI2KCsr4+wd4gt6ZDIZOjo6GMSto6NDcB/nV199hYiICMyZM4fz/QoODmYcT1VVFYaGhlQGYc3Nzbhy5YrGn+3jx49RX1+P1atXq5RI8SE7O5s41+3s7LB8+XLiWIaGhjA6Ogp3d3ccOHAAt27dIhJObW1tOHz4MBISEhAcHAwdHR1GxS8/P5+w4A4NDVVriU7BwMAAy5cvx4ULF+jbxsbGcOvWLWzZsoVIwLi6uqp8X6RSKZqammgCp2reljLi4+MFEzm5XK7S/ISNefPmESYVRUVF9Prw8OFDYv0UIu2KjY1FeXk54/NITU3Fzp07Vf4vn+HJhg0beCspsbGxePnyJWM/ePDgAfbt2/e9qOjn5+drJPOdKihzEq4h2hSkUikOHTpE9HlRsLe3x9KlSwVLhZXBVZmjsGTJEtTX1zPeh4yMDHh6eqo14ejr68OjR494/+7v749169ahv78ftbW1qKmpQV1dHe++Tx1rQ0MDGhoakJaWBgsLC3h5ecHLywszZsygY42IiAgGmRsdHUVOTg4xW9bCwoJ3zps6aGlpISoqikH4a2pq0NraCnt7e3q9UEZUVJTGVV2RSIRZs2YxzNZevXolqNr/Y8T0OzKNTw5SqZRYLFauXImysjKG3v7Vq1fw9PTUaCCnXC4niKK7uztjvpVMJsPVq1exd+9eQYtKYWEhr9sWBRMTE6xatQrj4+Oorq7Gy5cvUVNTwxtEj46OoqSkBCUlJTAyMqJlVupmvSUmJnI2hFtaWsLHx4fx2gsKChAeHk5UNviqluwMu1AMDAyoHGTe1dWF/v5+ejMQiUQwMjKCkZERodWXSqXo7u5mELyXL19qLHsdGRlBbW0tamtr6dvMzc3h5OQEBwcHODk5wc7ODlpaWoiPj2dUab4vxgZjY2OELbSlpSVt8TwxMUFX3FpbW9Ha2or29vYpG/BQz5mdnU2fO3PnzmUQtcDAQKSmptLEXS6Xo7y8HHPmzCEeS6FQoKCgAOnp6VM+pjdv3uDgwYNYsWIFAgICBP9fTU0NEZDp6+tjw4YN0NbWpiu3yudVV1cXHB0dYWhoiI0bN6KoqIiYLSWVSnH79m3U1dXBwsKCkXhR7gcDJhMvmmazfXx8iF7Ouro6ZGdnE+ZEbOMThUKB9+/fo66uDrW1tWhqatLYbRaY7KHx8vLidZpUxvv374kquyqDDUtLS8KhtqCggK7cs+eLhYSECCLDhoaGRJX9zZs3qKys5DUJ4jM8WbNmjcqA38DAADExMYyKeWtrK0pLSz94LMKHgs8oSVOTKKGgpNeqEgVcRE5fXx9xcXEICQmZUuVdoVCoJHO6urpYtWoVTp8+Td8mk8lw48YN7Nq1S+Vz3r9/XyUxo3q8TUxM6D47mUyGpqYm2kSMj7xSoMbhFBQUQFtbGx4eHjS5Y49+YJuQAMDy5cs/iBCFhYUhJyeHYVCSlZWFdevWEVVdIyOjKY/tYZO5sbExVFdXa2zc9WPANJmbxieH+vp6Qork4+MDDw8PfPPNN4yM5/379+Hi4gILCwtBj/327VtCQrZixQrk5eUxKlft7e3IzMzEkiVLVD7emzdviMVNR0cHs2bNYkhtqKBOR0cHgYGBCAwMxMjICF6/fo2XL1+ioaGBl5AMDg6isLCQoS/ngq+vL2bOnMn79zlz5jDIXE9PD6qqqhgb+fDwMEGklV/D2NiYxj1o2dnZasdINDY2CpKEUbIcSj7S0tKCmpqajzJfrKenBz09PTQxF4vFtDyTjSdPnnyQsYFcLsfQ0BCvE5sQpKamEnI/Kysr3Lt376MQN1UYHx9Hbm4uCgsLMXv2bERFRcHIyIiuKCsnN6gKsHJVYmRkBDdv3uSswOvr62P16tV49+4dw2HS19cX9vb2ePz4MeNaGRsbw5UrV1BbW4vExES1tvPd3d2EK6NIJMLatWvpSpZEIoG5uTkj6Ors7KTPBZFIhIiICMyYMQNXr14l+oD4+n6UERMTwztYVxWoqoJyTx+bmGpra8PPzw8jIyOor69HbW0t6uvrNe7x4cLQ0BDOnj2LPXv2qD1+dgLIzOz/Z++9o+I6s2zxXYGcc84gckaABAghBBJCOWdbsttpPN090zPvTc+a95t5672Z6TdrOri73c6SFaxk5SyEBEiAkAgiCiRAIuecQ4XfH6x7u7773aq6hdRty2avxQIuRdWtqlvfd/Y5++xjqTWDn5iYSLx+4+PjePz4MfWa6uvr60SG4+PjUVpaSlRds7OzsWjRIirwnZmZwenTp3kNT4TIhmNiYlBSUkKQmDt37iAgIGBerQEMpqamYGBgMK8KHzPOgUtEXnYUgabHUyqVWL58OTErURuio6OxYsWKeX02GPCte1yC5uXlhcWLFxP7fltbGx48eKCWnNTV1VFrFldSOTAwgNnZWaLSKZVK4ePjAx8fH6xevRr9/f149uwZGhoa0NTUpHGdnp2dZVsxhCAiIkLr3D5t0NfXx5IlS4jkR11dHW7evEmtdampqfMe9WFhYQFPT08iSV9ZWblA5niwQOYW8NqBu2i5u7uzC/u6desIV7eZmRmcP38eBw4cEGR6wCersrS0RFpaGpqbm4km96KiIvj4+FBOdQxGR0fx7bffUgvxpk2bYGhoSJC5np4eyOVy4hyNjIwQGRmJyMhIjI2N4cmTJ6iuruYdlK4NRkZGyMzM1Lgpe3h4wMnJiXB+LCoqIshcbW2t2o1FqVSivb1dY98UF0NDQ0SvCjCXrZ2YmCA2xRcvXujU3wPMEbljx45pJXJBQUFwcHBAR0cH2traBI1hAOYCAkaOyIff/e53cHJy0qkiBICqpul6H3K5HPn5+bzZYW3yZE3g9i8IwezsLB48eIDi4mJERUUhISEBkZGRBJnr6elBZ2cn25/U1taGs2fPUlIvYO6zvmXLFpibm1PnMjMzg2XLlsHLywvnz5+npJDl5eVoaWnB5s2beQk4cx98QXpqaip1XdvY2BBkjttbB8z1SP3kJz/BrVu3qOtcE2xtbXVymVOFkZER1q1bp3He3uzsLI4fP4729nadqtZGRkbw9vaGr68vBgcH1Y5rGBgYwMmTJ7F//36N8jyh/XKqcHJyohwoVV38GCQmJuo091EqlWLlypUEsRgcHMSjR4+wdOlS9hhjeMJ10Q0ICCDk4JogkUiwatUqYizC+Pg4/uu//gvLli3TOfjlrhmLFy/WKZE0OTlJ9RoyqKioQFlZGdsDrmr0xfzM/S7kmK6JJKZf+1W4BfM9Nl98sHLlSjQ2NhKf85ycHPj5+VGjgKanpwljEGCu4rtr1y789re/ZY8xFXBNz8PGxgZLlizBkiVLMD09jefPn7NVO26CTle4ubmhqakJRkZG7Nd8JLSLFy9GQUEBsVZyXY4dHR3nPWCeQVhYGEHm6uvrtUrzf4xYIHMLeK2gUCioXhRVK/SgoCCqebm9vR15eXlas7RKpZIic8x96+npYcuWLfj8888J6dHFixfx3nvvUUGDXC7H2bNnqYU3MTERAQEBVLCoUCjQ29urVhJkamrKzrQZGhpCTU0NqqurtTZRM5BIJFrtxEUiEeLj43HhwgX2WEtLC9rb29ngV5MxDAA0NzfrROby8vKIjVUikSA5OZnKcHLtqrVBHZFjBpyqBoJDQ0PYtm0bgLlrYHh4mO2ha29vR0dHx7wH0DPyxZfBq7gPXWFjYwNnZ2c4OTnB2dkZjo6OmJiYwCeffKJRQmRkZISpqSmKIMhkMjx69AilpaWIiIigJIqPHz+Gk5MTHjx4gDt37vAGW4mJiUhJSWEz6NyRHcx77ebmhnfffRfXr1+n5M0DAwM4dOgQUlJSkJCQQCQ31LkSBgUFEcG86mukKmfiI3PA3Nqxdu1a+Pj44MqVK2rNY1Th6emJZ8+eQaFQsBUMXX/WBq4hAh+YMQFM0srJyYl9/bmz8Pju//z589i2bZtaWdp8yBwwdy2oUwgA8zfsCAoKgpubG5Ewu3fvHiIiItiEIZ/hia2tLTZu3Ki1gjU9Pc0mjdSNeRE6z1ATNM2B1BWqDrTfFdavX8+uG68CfPJhvmtUX18fGzZswOHDh4n/vXjxIt566y2CAObk5BDVcGCuSm5ubg5ra2uCEHZ3dwsmpQYGBggMDERgYCCUSiW6urrw7Nkz1NfXz2tUEHdoODCXyFAld+q+jI2Nid/j4uIIR1IuhI4i0ISgoCBcv36dkObX1NSw7QILmMMCmVvAa4W2tjZCpw2Ammu1evVqNDc3E4vn/fv34ePjo9EJqbu7m8rmq84gYwa/qmaBx8fHcenSJezevZtYtLKysqhAxdvbmx16aWhoCEtLS+Lxurq6BPV3WFpaIiEhAQkJCWxPWHV1tdpgEpiTYv7hD39AQEAA4uPj4e7uzrvIBgcHIzs7m9iUioqKsGXLFoyOjlKGKtznoEvVsK+vj5p7FR0dDQsLC0oGMjQ0RMzM0QRNRG7nzp148eIFEQh2dHSgu7sbDg4O7AwyS0tLthoml8vR09NDEDyulOR1hrW1NUHcnJycKKmsUqnEqVOnNBI5AAgNDUVsbCzu37+PyspKilTI5XLeClVJSQkGBgaI3lQGxsbG2LRpE1UBV0fmmL9t3rwZvr6+uHbtGpHIUCgUuHPnDp4/f46NGzeysr4HDx4IdiUEQPWnaqtaBgYGwsXFBefPn6ds37koKSkhKvd/TZibm7PkzdvbW+2cS+5aGRoaiubmZkKqyUivMjIyqNdweHiYknUKJXMeHh6UM6oqVq5cOa+eIJFIhPT0dHz11VfssenpaeTm5mLNmjVqDU927txJfWYUCgW7bjDk7Ye0bvw18fjxY1haWr60PJCB0MocMHdNLlmyhOhp7ezsRH5+Pmsi0tHRQbU5MLNigbkKPZfMzQcikQhOTk5wcnJCcnIyxsfHCROV+bYTyGQyjI6OUmT0ZWBtbf1KHFoNDAwQEBBAmENVVlYukDkOFsjcAl4rcGVidnZ2VD+cvr4+tmzZgq+++opYtM+fP69xXAG3KmdpaUlZ9y5evBiNjY1EdbChoYGwLa6qqqIWdgsLC2zZsoXI/jk5OREBUWdnp05mLcBcQLl8+XI4OjoSJhzqwGjrnZycEB8fj+DgYGIT0zREnPv66OvrIzU1lbCTbmtro+Si6sDtbdLT02NlSnZ2djA2NiaIe1NTk1Yyp43I6enpwdfXl5oTVlZWhoyMDN77lEgk7AbKSN+4GfaXkS/+NWFtbU2QNicnJ0FD6YuLi6nqKDNYWbUfi+lL27hxI5KTk3H//n1UVFQIklTxETkPDw9s3ryZt49KE5ljEBYWBjc3N5w7d44K/F+8eIFPP/0U69evh4GBASVVY1wJ1UneuCYXAwMDUCqVGjPR5ubm2L9/Py5fvkwlMr4rSKVSeHh4sAO0bW1tBWXTuWTOzc0NiYmJOHToEDXrytLSkqpucpNdRkZGWg2cGIhEIgQGBqolc4WFhXjy5AksLCzYL0tLS1hYWMDIyEjj83N1dUVoaChR1S0pKYGfnx/Onz/Pa3hibW3NVvSZNaGzs1Nr8mMBwtDa2oqjR4/Cy8sLKSkpGk1yhEBoZY7BihUrUF9fTyRs7t27h0WLFsHBwQFXr16lrPhV2xrs7e2JsSrc6v98YWJigvDwcISHh6OrqwufffbZK7nfV4GBgQH8x3/8B6ytrWFvbw87Ozv2u7W1tU5zQ8PCwggy197ejr6+PsHrxY8BC2RuAa8VuEEztyrHwNnZGSkpKQQp0TaugO++ubcTiURYv349Pv30U0JCefv2bdZZ8fLly8T/SCQS7Nixg2rYdnBwIBb4+WbrHj16xNszogmdnZ24cOECbt++jcWLFyMmJoY9P3VDxLlVt4CAAEpSOTs7i66uLrU9SQy6urqoKkhcXBwrVxWJRPDy8iJu8+LFC41ub0KIHDC3aUdERBAuX1VVVUhLSxOczTcwMICXlxe8vLxQXFyskcz5+flpvT+u0+B87kOpVBLum1z8z//5PwURNy4GBwcpomNhYYG0tDT09/cTZG5gYAADAwPsgO7169dj2bJlKCgowOPHj3VyR0xKSsLy5cvVBll8ZI6PTFlZWeHAgQPIy8ujnN0mJyfVJkG0uRJyAwmZTIbh4WGNdv9yuRwFBQXUCILvAvHx8fD19YW7u/u8ema4ZM7S0hL29vbYuXMnjh8/TrzXt2/fhrm5OTF/kU9iqY1EMnM3S0pKNEqvNUmT9fX1eUke893MzAypqamora1lpV1KpZK3B1FPTw9lZWW4cuXKS/cycSHkMw9oXjtexboBzO0JYrEYEokEEomE/Zn7Xegx1b/l5uYK/jww9vx+fn5ISUmBk5OToP/jgm8d0kQupFIpNm3ahC+//JIlbQqFAhcvXkRYWBh1rSUlJRFJZm5SuLu7W2viRygUCgUePHigcRyCKkxNTSGTyV6JKZg2KBQKdnyQKpiZuKoEz97eHlZWVrzrvY+PD0xMTIh+9srKSp3dfn/IWCBzC3htwNjNq0JVBslFQkICGhsbBY0rGBoaovrP1N23iYkJNm7ciOPHj7PH5HI528zO7a/KzMzk3XS4x7q6unRa4Bn3sZfpaRgbG0NOTg7u37+PsLAwxMfHw87OjhoiXlhYSP1vcHAwjI2NKWOMlpYWrWSOu/EYGBhQmXtPT0+CzDU1Nal9fTo6OnD06FHK5pxL5BhERkYSgT3jHKrrsG9tRNrb25sYpsqHlpYWvHjxQm1f3saNGwU1kRcWFmoMymZnZ3Umc0wfGbfCwFSznJycqE22oaGBkMBYWloiMzMTSUlJKCgoQFlZmcYeRCMjI2zZsgU+Pj4az437XBQKBWZnZ3kraRKJBCtWrIC3tzcuXLig1bVx+fLlWl0JTUxMYGBgQFxzfX19aslcS0sLrl69KkhqZ2lpCYlEApFIBLFYDJFIxH6p/q7uZ5FIRPUWq0IsFiMsLGzewfDMzAwld2eq5p6entiwYQPlCHrx4kVinAiXzGmqtjBGSY8fPxZsUKTp3Ht7e9W+D2KxGBYWFoL6ZGdnZ3WuyjMuuObm5modCD09PbWuG8DcNf/rX/+aei8YxMTEaL2OW1patJI5Hx+fv8h4gr6+PkHOrlwwZiCBgYFYvnw5ZUaiDULcLLlwdnZGUlIS0dPY09NDJbpsbW0pt0sumZuYmMD4+LhOBj18GBgYwMWLF3Vqb4iMjMSKFSugUCgwPT2NiYkJTE5O6vT1smAkyD09PcQeL5FIYGtrS1XyrKysEBISQowwqqqqQkpKyvdiNuP3AQtkbgGvDbibpqmpqcYmYpFIhE2bNgkaV8DdVI2MjDTqvX18fCgdPZ/ePDo6Wm01idsfNz09jaGhIUF9YbOzs7hw4QJR2WMQERGB+Ph4fPrpp8RxOzs7yGQyYsA1A5lMhrKyMpSVlcHX11drRtfQ0JANtt3d3Skyp8l8oK2tjQo0ly5dSslfuf0Ro6Oj6O/vpyoiuhI5YC7w9PLyInoAHz9+rBOZKyoqwq1btzTeRpvpTHd3N06cODFvgxXV+1Gdx8OH+vp6REVF6XS/6uSVTEVWJBLB19eXkAxyyRwDc3NzZGRkIDExEYWFhWqTEDY2Nhp7WxnwEdOpqSmNToCenp547733cPXqVY1BZFtbG2pqauDv76+2WisSiWBjY0O4mfb391O9fVNTU8jOztbJzTIhIWHebpbAXGWqvr5erRGKQqHAhQsX8M4778yrt4xvDVElsaGhoRgZGSECXblcjlOnTuHgwYMwMzOjpGbc9VahUKC+vh6lpaVaK9evEgqFgvf5zRdWVlZwcXFhv5ycnCCVSpGbm6uWzDU1NaG/v1/rgGq+HnJV3Lx5E97e3hrfYyFVsXPnzmH//v2vpAeKgVKpxPXr1zVKsPX09LBy5Urk5+fz7q+1tbWora1FaGgokpOTtb5eDHStzDFYtmwZnj17ptF4bO3atdR9WVlZQU9Pj0iKdXd3z5vMKZVKFBcXIzs7W2cpb2FhIcLDw2FjY8MamegChgROTk5ieHiYmMX3smBmn3JVSlKplNojh4aGkJ2djbS0tFf2+K8zdJ+2uIAFfEcQIoPkwtzcHOvWrSOOMeMKVBd0vvvWlqlLTU2lMm6qcHFxwerVq9X+3czMjJJeCnEtHB8fx9GjR3mJ3PLly7F+/Xo4ODhQQaVSqcSHH36IHTt2aAyWGxoatMo2AwMD2Q2Lu8G3tLRodNPjkg5jY2O231AV1tbW1Jw1rgFLe3s7L5Hz8fFRS+QYcEn28+fPBQdxDx484CVydnZ2xO+apCyDg4M4fvw4de66QiaTUdczACpQ0DUg1iSvVAX3OtNUZQTmrntNFaG2tjZ88803Wl8XvnmGQqRDRkZGSE9P13ibhoYGnD17Fr/+9a9x/fp1dHR08F7TmkxQlEolampq8PHHH/MSOcY99p/+6Z+oxE5ubu68rwvGbU+bo2Vvby9l5iEUXImlqakpRRiWLl2KxYsXE8emp6fxzTffUERaKpWy18To6Cju3buHjz76CKdOnZo3kYuPj0doaCjc3Nxgbm7+V8ngM0muZcuWYdeuXfiHf/gH/PSnP8WWLVsQHx8PNzc3SKVStUZAqigrK9P6eNpmiw0ODvKqKhgoFArqvVi+fDmWL19OHJPL5Th58uQrNXCpqamh1nPu+JnZ2VnY29vjpz/9KVatWqXWjr6qqgoff/wxLl++TF2bfOAjkEKuD4lEgo0bN6r9e2RkJO/eKhKJqOrhfNsqhoeHcezYMbXDyfn2UlXI5XLcuHFDp5EkqhCLxTAyMoK1tbXW3r/du3dj7dq1iIuLg7e397zJq7r9pLCwkLqGfqxYqMwt4LXA2NgYJSVQ1y/HhbZxBRMTE5S7nKb7ZuyBq6qqNC7ISUlJGjOiIpEIjo6OhPFDV1eXxoGY/f39OHHiBOGMBcwtsOvXryfkePHx8YR8pq+vDy9evEBAQAACAgLQ0dGBhw8forq6WueZP6oVLC6Zm5iY4K2gAX/ueVBFYmIib2DO9M1VVlayx5qamtgAsb29HceOHeMlcjt27NDaBxQYGAhDQ0OCAJSXl7OOo+pQUFBAkRwAbA+Ham+NuoB8bGwMx44do/psFi1ahKGhIZ0a5HNycqjbL126FPb29rh48SJ7rLGxETKZTFAlRpu8UhU+Pj7EqAGZTIampia18xcnJye1VjSbmppw5MgR7NmzR20AJxaLKZmjEDLX19eHY8eOab0dc3/FxcUoLi6Gvb09IiIiEBoaygYl3EoAIwMfHh7G9evX1UodHR0dsW7dOlZZkJ6eTmS4x8fHUVBQMK+ekHv37gm+foqKiuDn56fTOBGAv1+OC5FIhNWrV2N0dJQgHSMjI7h69SpxW2dnZ7S0tKCkpARPnz7Vuh65u7vDycmJkF1xIRaLsXnzZvZ3uVyOkZERDA8PY3h4GENDQ9TPuvR0MnJJpuLm6uoKa2trQaTg6dOn1Gff29ub2AuYtUjd55VvlE5SUhKampqIvZKR0PO9R01NTZRsNSQkBNbW1hgZGSEI5dTUFL755hu89dZbVJJNV0xPT1NrgLm5OTIzM9HT00NUvurr6+Hp6Yn4+HhERUXh0aNH1HwzYO71ePz4MSoqKhAdHY2kpCS158l9nxlJsyYoFAo8ffpU4zXHSIj5YG9vTxj26GqColQqUV5ejps3b/IqPqysrLBx40ZIpVLqHCMiIlBeXs7+3tjYiLq6upeSzioUCo2vBTCXnF62bBlxbHJyEj09Pejt7WW/9/b2zls+XV5e/spcTl9nLJC5BbwW4AZF+vr6On2ANY0rGBwcpJyo+Pp1BgcHUVVVhaqqKkHDk0+dOoWoqCikpqZSFTgGfGROHVpbW3Hy5ElKs25gYIDt27dTAZm3tzfVz8YMOgfmAqhNmzZh5cqV7AwwoXp41U3L0tKScodsaWmhyJxSqaSqcmZmZlT2nvs4XDKnVCpZs5P5Ejlg7n0ODQ0legPLy8uRnJystip7//59XjljamoqEhMTqYQDH5ljgiJuFdDd3R1bt27FoUOHtJ47g6amJirz7uDggJSUFOqxZ2dn0dzcrLUXDQCvwYSqvFIVRkZGcHFxIeaWNTQ0qCVzt2/fpqRhcXFxePz4MRGkdHZ24vDhw9i3b5/aAciGhoY6kbnOzk4cP35cozRNHXp6epCVlYXs7Gz4+fkhPDyckkT39vaiqKgId+/e5c2a6+npISUlBXFxccQ15uXlhUWLFhHr3IMHD9hRHULR2dlJmbxwZ/pxcenSJbz//vs69VNyr1110nCGUB09elTjXLuWlhatBNvAwADh4eGIjo6Gvb291tENDx48QFBQENu/K5FIYGVlpfZclUolxsfHWWLHyLj4YGhoiF/84hfzkqgCoM7dzc0NGRkZ+Pjjj9ljExMTePr0KTsihYve3l7qfQgICEBQUBA+//xzIrmSlZWF7du3U/fBncPo5OTEJigyMzMxNjZGXJPDw8M4ceIE3nzzTd4EnFDk5uZSZHb16tXQ19eHn58fsQ8+e/aMVQPo6+sjMTERMTExKCoqwoMHDyhio1AoUFxcjMePH2Px4sVISEigEkLcZIEmFc7k5CTKyspQXFyM4eFhjc/rwoULGBgYQHJyMkUO+UxQhGJ0dBRXr15VmxxavHgxVq5cCX19fcpJ28bGBqtXr0ZjYyOxR9+6dQs+Pj46D6hn8OzZM+r64/ZPP3z4EEuWLCH2YyMjI3h4eFAVzPHxcYrg9fT0aI1J5nv+PzQsyCwX8FqAK4P09fXVaSNlxhVwF+0LFy5QFuG+vr7s4jM+Po7i4mIcOnQIv//975GTkyOIyDEoKyvDH/7wBzx69Ig328yVV6kjczU1NThy5Ai1sJmbm+PgwYO8QTYj41JFQ0MDdf6Me9vf/d3fITMzU2e7X5FIxCu15OLZs2dUQLds2TKN7yOXsE9MTODx48cvTeQYcHvIRkZG1A4jzsvL4yVyaWlpSExMBEBL/2ZmZoj3XSaT4dSpU9T77ODggF27dul07tPT00TlDZgLWDdt2gSpVAoTExPKiEaIZG1wcJAaCM0nr1QFl7ipM1Robm4mKuTAXAC6evVqvPnmm1TSo7+/H4cOHVIr7xIynoBBU1MTvv76a4rI6RqUMhn6M2fOUCYfY2NjuHXrFi+R8/PzwwcffIAlS5bwBo8rV64kAkCZTCbYoQ7gl1eKxWLs27dP4/+NjIzg+vXrgh8HEFaZY6Cnp4ddu3YJ7mfiwtnZGevXr8ff//3fIyMjg5WrcSXpDg4ORK+SUqnEpUuXBPejikQimJqawtXVFcHBwUhISFDbkz01NaVV4qgOvb29lDohJiYGtra2VICrSYrJfXxzc3M4OTnB0dGR6resra2l1jWZTEbdh6riQiwWY8uWLdQa0tXVhTNnzuhUxVRFd3c3VdHx9fVlDce4hi19fX0UaTA0NMTy5cvxs5/9DAkJCbx7iEwmw4MHD/DRRx/h7t27xN7JV5njore3F1evXsVvf/tbZGdnayVyDPLy8nDixAlqneGSud7eXkGKmOrqanzyySe8RM7c3Bz79u3DmjVrWFLD3WNdXV1hYGBAScuHh4epxI8uUPULAOYSAXv27CGOTUxMCJILA3NE0NPTE7GxscjMzMSbb76Jf/zHf8QvfvEL7Nu376WSBz8GLJC5BXzvMTMzQ82gEiqxVAUzrkAVw8PDVAXC29sbVVVVOHHiBH7zm9/g+vXrOrlFcTE1NYUbN27g888/p+ScXDI3OjpKZLaUSiUKCwtx9uxZagNydHTE22+/rdHJKywsjGpwVieN0NPTQ0xMDD744APs2bNHYwWHq7nnOtFxyZxSqaQCUysrK42jBgCwA7xVceXKlXn1yPHB0dGR6t/ikg2lUonc3Fzk5uZS/79q1SrChZNvw2EyxwqFAmfPnqWuASsrK+zZs0dnp8mbN29SAcaKFSuIoIFrZKONzOkir1QFl8z19/dTAZhMJsOVK1eIY/r6+ux8PycnJxw8eJCqRI2MjODw4cO8M8WEkrmnT5/i+PHjVBbf2dkZP/3pT6nr0MDAAO+++y6Sk5N1qozxwcTEBFu3bsWuXbs0kh47OztER0cTxyoqKgT10QL88srExER4enpSwS73c1JVVaXTuARdyBww1xe7Z88etQoFLvT09BAZGYmf/OQn+MlPfoLIyEgqA89NiISFhVGSrt7eXsJ9UBeMjY0R5jZc3Lx5c17OftyqnLGxMSut577/L168oCT1DDT1kKekpFCv9Y0bN4g9hG/INLcKqK+vj127dlGzXJ8/f47Lly/r3HfFmJ6o/p9EIiGGyru4uFDnrq4iZWxsjJUrV+JnP/sZ4uLieEnZ7Ows7t+/j48++gj37t3D9PS02sqcUqlEfX09jh8/jj/96U8oLS2d16zAhoYGfP7558SaxSVzcrmccudWxcTEBL799lucO3eO9zqLiIjA+++/TyVyuWSOIePBwcFUcrSwsFDjOahDR0cHtcfHx8fDycmJihsePHgwb+LPJFgsLS3VJmWEkuwfOhbI3AK+93j+/DnxQRaJRIJn8HCxdOlSjbp2ALh+/TrOnz+P+vp6jZkzCwsLJCYm8lYs+EhFd3c3vv76a5w7d461RrexsaECLSZIUSgUuHHjBlUlAeaC5wMHDmjtXdDT0+MNEDUFIYxDYWhoqNrblJSUEINSuRnlwcFBQtJRU1NDyUqWL18uyEFM2/vFELn5Sp641bmnT5+yhJohoXl5edT/rV69mqp8qnNYVCqVuHLlChWAmZiYYO/evTr3oNTW1hI9EMDc68R1EeVmuQcGBjRu3nzyyqioKK09Vc7OzlQAxq3OFRQUUI+9YsUKYiC4jY0NDh48SBnJTE5O4siRI1RSRwiZq6iowOnTp6mAwsvLC/v374exsTFlJT49PY36+no2+79//36EhYXpfI1FRUXhb/7mbxAcHCyol2r58uUUacnKytIaNPPJKx0cHLBs2TKIRCJq6HpKSgpFzq9du6Z1ZAMw95ngEnVtZA6YS1pwDS64sLOzQ0ZGBv7+7/8e69evV1sZY1zvVOHk5ISEhAQqQZafny+YEKtCm13/+Pg479qsCTMzM5QSJDIykr2uAgMDqeQbX2VjZGSEIpqqo3SMjIyQmppK/L2/v59wkOWSdzc3N97EhYmJCS8Rr6ys1Oqgy0VlZSVFAhISEgiyyLe/a0tCmZqaYvXq1fjbv/1bdiYeF9PT08jJycFHH32E/Px84m9yuRyPHj3Cxx9/jBMnTqhVZwBzax13tBFz3qoYHh7G4cOHUVpaCqVSCSMjI2qdVye1fPr0Kf70pz/xOu6amppi165d2LBhA7X+jY+PU59NV1dX9vwyMjKI14aJMXQl5VwnYjMzMzYRkJSURPxteHiYkvPqAqVSSSUiVNHc3DxvsvhDwgKZW8D3HtwA2MPDQ2c7XQZisRibNm2a1/BkYG6TjImJwYEDB/Czn/0MqampVNbSysoKH374oVqb++rqavzxj39Efn4+FAoFlbHr6urCzMwMTp8+TfRzMYiOjsauXbsEa8UXL15MLOCzs7NapQ9DQ0NapVdlZWVsdtbe3p46H2bTVigUVFXLzs5O8BgAbdW26OhoDA0NzdvePyQkhAjSFQoFKioqoFQqcefOHV4pypo1a3hdw/jek+npady5c4ciXwYGBti7dy91/WjD2NgYVeEyMDDAhg0bqIDC0dGRchBTl+VWJ6/U5vwI/DkBoAqu+Q73dXR2dubtlzQ3N8ebb75JybtmZ2dx4sQJIsDRRuaKiop4nR0DAgKwe/dultDY2NhQxkMPHz7E7Owsa8SzadMm/MM//APWrVsn2KK9vb0dVVVVggf0mpiYsJJdBk1NTRpnxsnlcly6dImSV27YsIFNlvAlCzIzM4nfp6amBFVbpqamqAqnkHEqjY2NGvvcLC0t8d577yE2Nlbr+tzX18erVJBIJNiwYQOx3jFyS10DPi6BCAgIoJIjjx8/pirtmlBdXU2pClSTbVKplJopWV5eTp07d080NDSkEmqRkZEUGb537x5GRkYwMzND3Yem9dja2hq7d++m1uL8/HzePYoPU1NT1PpiaWlJXe8ArShoamrSOuYFmFuv1q5diw8//BDh4eG8CZTJyUkqKTQ9PY0bN26oTXSJRCIEBwfj4MGDePvttyklioODA9544w1qrZXL5bh69SouXbqE2dlZrX1zU1NTuHjxIk6dOsVrCBIcHIz3339f7exArnpBT0+PeEw7OzsqAcmYoQjFyMgIMRsOAGJjYwl3a+7rU1BQMG/3zLq6Oo2JlZmZmXkla35oWCBzC/heQ6FQUIHMfCSWqlAqlYKCDwZSqRQhISHYtWsXfvGLXyAzMxPu7u7sRsElERKJBObm5tiyZQvefPNN3vEFs7OzuHPnDj755BOqEbyhoQFHjhzhDeBSU1ORmZmpdWyCKszNzalA9dGjR2qDG2YGFXfzDAkJoR63vLwcly5dAqBeallRUUFtkikpKRqfg1wuR11dHU6cOKE1WDhz5gw+/vhj/Pu//zt+97vf4ciRI7h8+TLy8/NRU1ODzs5OjcG0oaEhJS8qKyvD7du3UVBQQN1+7dq1ak1bRCIRVfHIzc2l7kcikWDXrl1UFUEbGBkkt7KakZGh1lFQSJZbnbxy3bp1gnsV1I0oUCqVuHbtGnG9iUQirFu3Tu01YGxsjP3791OSHblcjm+//ZbtJeKeG/M+MxVVPtfMiIgIbNu2jaqycYPK8fFxXgIeFRWFAwcO4MMPP6QqXlx0d3fjxo0b+PWvf41Lly6hra1Na1ATHx9P3e/t27fVfl7v3btHBYWJiYmEfJh7f6OjowgJCaGu+8bGRq2fN27mn6/yx0VjYyNOnjypMeEyNDTEO2KDD9zgzdLSkk3wOTo6Uu9ld3c3VY3RBLlcTlVn/Pz8iN4kBleuXBGUSGJmg3Hvk7sXcZUC4+PjFPHiBt9+fn6UykEkEmHNmjXEsZmZGWRnZ6O+vp74rItEIo0uysCcXG/r1q0UQbpx44YgMnD37l2KoGRkZPAm63x8fIi1QS6XUwRMExhnx/fff1+tgYwQGBkZITExET//+c+xdetWuLm5QSQS8cqMPTw88M477/AmeioqKvDVV19Rz1VVFt3Y2IhPPvmEqtwy57FlyxZs3bpVo1SZ2w7i7OxMrbHLli2jkjvqHDL5wO3/56p/RCIR9fnr6+ujrmEhmJmZodZwMzMzar1ZGE/wA3GzbGlpwe9//3tcu3YNLS0tMDAwgK+vL7Zv344PPvhAsE6fD0xz+J07d1BaWornz59jYmICFhYWCA4Oxtq1a/H2229rlZl4enoKyuB5eHhQMqcfM1pbW6lG4vmQuZmZGdTW1qKiokLQB18kEsHb2xuhoaEICAjQGNBygw/VIJFZ4EtKSpCTk0ORCr5+CL73n5lvo8tQa1XEx8cTspqRkRHU1dXxbnQPHjygpDDh4eHYuHEjgoOD8e233xKLeUVFBRQKBVxdXYkAqLW1FTKZjJIoOjk5EZIgVfT19bH20vOxKmasxvleQ2Y2DuNox/xsbW2NiIgIYhPt7++nGryBOXKjbfA21y6fG+iIRCJs3bpV0GBsLvgGKAcGBmqUr/n5+RF9gM3NzZieniauaXXySiHOlwy4t52dnUVLSwtGRkao+46Pj9dKZJl+nQsXLlCZ4KtXr2JiYoKq4ExPT7OyHD5SsmTJEqSlpfFm7Jl+D9VruLCwUK1sy8bGBoGBgVrtuYG5hE95eTnKy8vh4OCA6OhohIaG8lag9PT0kJqaigsXLrDH+vv7UVZWRiUROjs7KZLCyCtVwQ3eRkdHIRKJkJmZiZaWFkISffv2bdYJlw/cQNbc3FyjXJohcnwkjeu0WVNTA7lcji1btmiUtHLJHLfvddmyZairqyOC5Xv37iEgIEDjbFAGLS0tVAXNz88PZmZmSElJIQLM/v5+5OfnU7PZuGhvb6f6/PiSQnZ2dnB3dyfW4LKyMpZsTU1NUZ8ndeupi4sLNZanqqqKqnR4eXkJmgG2aNEirF27llAGKJVKdqg4N6HHoLOzk6rK+vv7q60wGRoawt3dnXiez549U/s8uZienkZnZyc6Ozt1SnwysLe3R1xcHEJDQ3nJprqeUTMzM+zfvx937tyh9g++Ydjd3d2YmZnB7du31VatFy1ahHXr1gl6f7iVOUZiqQoDAwOsWrUKZ8+eZY+NjIzg/v37lDSXi5mZGcqUJzw8nFJK+fn5wd7envj85efnC5oNrIr79+9TPXHp6eloaWkh1vempiZK3vljw2tP5q5du4Y9e/YQb/jExAd1jPEAAQAASURBVAQ7G+jLL7/E9evXdZ6jA8xlnDZt2sRrL97X14e8vDzk5eXhv//7v3Hy5Emt86kWoDu42Rx7e3vBVTWFQoGmpiZUVFSgtrZWcCOznZ0d9u/fL3jAJV9lThVisRixsbEICQnBnTt3BLs7MTA0NMTOnTvnFfwzYOYgqTZHFxUVUWSuq6uL6oOwtLRkTSoCAgKwfft2fPvtt0RwVlVVRb1eXV1dePDgAa9Jh+qCPjMzgydPnuDx48e8LpivCpOTk2hvb+c10hDSC5Wenq7VsAXQ7o64bt06wUGJKvr7+5GVlUUcMzU1xdq1azVukN7e3hCLxSwBVygUeP78OTtj6GXklaowNjaGi4sL8fpWVlZSFWYLCwutgS8DiUSCzZs3w9DQkAoi+Pp1xsfHceHCBd4ejRUrViAxMVHja5WYmEiQuaGhIVRXV/OSZYVCQZHMqKgoWFlZobS0VO3w4u7ubly/fh23b99GcHAwYmJi4OzsTJxXaGgoioqKCNKSm5uLsLAw9vpi5JWqiRWuvJIBN5PN9MYZGRlhw4YNOH78OPs3mUyGCxcu4ODBg7wkTehYAkA9kQsJCcGmTZvQ2NhI9TPW1dXhzJkz2L59u9rPJZfMcRMDjNzyyy+/ZMmiQqHApUuX8Pbbb2sN8LkJEycnJ5YQx8bGoqqqiuhZy8/PR3BwMNXrqQpusG5paak2WRIVFUWshY2NjRgcHISVlRXVyy2RSDQmXVJTU1FbW0skErmVfV2qV1FRURgZGSGSdDKZDCdPnsTBgwd5R9Jcu3aNGv+zevVqjY+zaNEigszV19dDqVRSn9+pqSmWuHV2dqKjo0OtaYw2+Pv7Iy4uDp6enhrXCU0GQBKJBOnp6XB1dcWlS5c0VryGh4fxu9/9jreH3cDAAKtXr1YrF+VCoVAIInPA3OxdLy8vIrFdWFiI8PBwjW7W5eXlVEKaK9sE/lydU3X7bW9vR1NTk+CRUv39/dTYHU9PTwQHB0MsFhNkrrW1FXK5XFAP/g8VrzWZq6iowPbt2zExMQFTU1P88pe/REpKCiYnJ3Hq1Cl88cUXePr0KTIzM1FcXKzz9Pn+/n5MT09DLBYjLS2N/WBZWlqira0N33zzDU6fPo3u7m6sXbsWBQUFvI2xqtiwYQP+7//9v2r/vjAz489QKpW8jl3a0Nvbi4qKClRWVhIZZ6FgnPiEXi+aKnOqMDY2xrp16xAdHY0bN25onLukiszMTLUZT10QHx9PZOPa2trQ1tbGLvgymQznz5+nTF82btxIEBR/f3/s2LGDCsK4clG+uXLu7u7w8fGBUqlEZ2cnysrKePtIhMDKygrGxsYYGBiYl6ucKoTIpLKysnD79m0YGhrCyMhI7Zc6G31gzn5eCCHkgpG+8rlMalMeGBgYwNPTk5ApPXv2DIGBga9EXqkKX19fIqDgkwxlZmbqtM6JxWJkZmbCxMREqzOhOvVDZmYmZdfOBw8PD4qQFhQUIDQ0lAqoWlpaqGs+Pj4ednZ2SEhIwPPnz1FaWqp2CPbs7Kzaap1IJEJ6ejqOHDnC3n5iYgL5+fls9lyIvJIBtzKnanTi4+ODxYsXE8FRR0cH7t27x5ugFOpkqY7IhYaGYuPGjRCLxfDz88Pu3bspCWZ9fT1OnjyJHTt2UNeKUqmkKlx8z9nZ2RlLly4lJM6dnZ0oLCzk7dNSBZfMqUqVxWIx1q1bR8xyY3qj3nzzTd7Ae2JigjIcUVfxBeaC7Zs3bxKBc1lZGVJTU6lKv7e3t8bPqomJCVJSUnDjxg3ev4vFYp2HRycnJ2NkZISo+E1OTrJDxVX3zrKyMopkLFu2TKuayc/Pj0hejY2NobGxEWKxGB0dHSx54yYXXgZr1qzRKhkGhH0GgoKCYG9vjzNnzmjcE/j2Lm9vb6xfv14nJ93e3l6KOKojc4wZyqeffkok+W7evIk9e/bwXsNKpZJSISxatEjtyJHg4GDk5OQQ709+fr4gMseoK7iJqjVr1kAkElGmaLOzs2hvbxfcy/xDxGtN5n7+859jYmICUqkUWVlZhJPbihUr4Ofnh//xP/4H6urq8Jvf/Ab/3//3/+l0/3p6enj33Xfxz//8z9RFEhkZiXXr1iEhIQE//elPMTExgV/84he4c+eOxvu0tLSct1Tux4a+vj4qw6auojE+Po7q6mrBVt76+vpqM2YKhQJnzpzBO++8I8hlUFtljgtnZ2ccPHgQlZWVuH37tlY54blz53D58mU4OzvD1dWV/dI1OREYGAhzc3MikHv48CG74GdnZ1ObTkJCAm9F0M/PDzt37sSpU6d0MhZYunQpHj16hMePH+s0NJUPixYtYrO7U1NTGBwcxMDAAPF9cHDwlVoXK5VKTE5Ozos8Ll26lHJNFIr79+9TAVFMTIxgV1c/Pz+CzDU0NECpVL4SeaUqfH19eZ0/GQQFBc3LiVYkEiElJQVGRka8fXDqwBgeCV1zmYzy6dOn2WM9PT2or6+nJGHc4NzBwYGtzIhEIvj4+MDHxwdjY2N4/PgxysrKdKrWeXh4wN/fn0hoFRUVISYmhiV23MfnyisZ8PXMqVY50tLS8Pz5c6K39f79+/Dz86MCQiGBrBAix8Db2xt79+7FiRMniDX5+fPnOHHiBHbt2kWQlf7+fir5wEfmgDl30KdPnxKzNXNzc+Hv76+2ijY4OEjN4uRes46OjliyZAlROWhpaUFZWRnlHgzMGaWovhYSiURjUkdPTw9hYWHEAOjy8nIkJSVREkkhVf6YmBiUlZXxrrnzMRNjJLqjo6PE+QwNDeHEiRN44403YGBggImJCSomsrGxoVx3+cB3Xt98843O56oLbt++jS1btmi8jUwmo5LE6oipra0t3n77bVy5ckXw6I81a9YgJiZGJzkiQI8ksLS01BgjMGYoqtdwY2Mjamtrefsnnz17RsVjfFU5BmKxGEuXLsW1a9fYY8+fP0dHR4dal1oGfHMRmUQZMJcYd3BwIK7nFy9eLJC51xHFxcWsQ95bb73Fuzj84he/wOHDh1FbW4vf/e53+OUvf6nTHKodO3Zgx44dGm/zt3/7tzh69ChKSkqQm5uL/v7+eQ9HXQAJbgbSzMyM2LRlMhmePXuGyspKrWMEgD877oWHh8Pc3ByHDh1Se9uxsTF8++23eOONN7SSM6GVOe65hIeHw9TUlJA4qcPs7Cyam5uJyoOlpSXc3Nzg4uICNzc3amguF4zcMzs7mz325MkTpKWloa+vj8q6OTo6apQO+/r68mbVNYErz+SDsbExwsPD4efnh2+++Ubt7Z88eYJVq1ZBJBLB0NAQTk5OvEGdTCbD0NAQRfKYn/9atsZjY2Po7OxUG3iqQ0dHByXRsra21jjEmws/Pz+CBI2NjaG2tpaSV5qbm+ssr1SFs7MzjIyM1JLdhIQEDA0NQS6XQ6FQUN/5jql+l0gkcHZ21jj/i4Genh62b99OGbNoAxPoqyY28vPz4efnxwZYcrkctbW1xP+pk6qZmpoiKSkJiYmJbLWurq6O1whFtVrn6OhIJVJkMhlu376Nvr4+Yr0TiUS88koGXDInl8sxOTnJVnX19PSwefNmfPXVV+z9KpVKXLhwAe+++y5RHdNG5hoaGniTPHxEjoGHhwf27duH48ePE1X65uZmHD9+nJjDyE3WmZqaqg1apVIp1q9fT6z1crkcly9fxoEDB3jPhSsLZuTDXCQnJ+PJkyfE65GdnQ1/f3/ifJRKJSURDg4OhomJCe85M4iOjibIHDOQnpuEVNd3xkAmk6GxsVFtm8H4+Dj+67/+C4aGhrCxsYG1tTX1xVf9l0gk2LZtG77++mviPens7MS3336LXbt2ITs7m9esibtHMmujqlRSyJgMTRCLxbC3t4eTkxMsLS2pOad8qK6uRmRkpMa2HL7koKYqo76+PjZv3gxXV1fcvHlT6zkUFBSgpaWFTdoyLq3awDcsXBuSk5NRVVVFkNNbt27B19eXqohzewAdHR21jg2KiIhAXl4eoWDIz8/H9u3b1f6POtMTbqLK09OTIHNNTU1ITk7WeD4/ZLy2ZO7ixYvszwcOHOC9jVgsxv79+/HLX/4Sg4ODyM3N1SkAEorly5ejpKQECoUCL168WCBzrwjqJJatra2oqKhATU2NIMtvR0dHhIWFITQ0lN1kuQsTY4qhWr1obW3FzZs3KQtvLnStzDHo7u4mZI+6YmhoCENDQ2x/kFQqhbOzM0vuXF1dqcpiVFQU8vLy2I1doVDg3r17VAAjlUqxefNmrc/F29ubJXRCehI1ESdfX19ERkbC398fEokEd+7c0Xj70dFRtLS0aO0llEqlsLW15e0FYMYP8LlWMpBIJK+E8FVWVqKyshIeHh6Ii4uDv7+/oOZ81YAOmAvcN23apJNUkQnSVDOr3377LXU7bcPBVSGXyzEyMoKhoSEMDw+z3zVVLb/44gvB5/yyWLNmjc5EDph7fRMSEog9prW1lbjWXrx4QRkzaav+qVbrRkdHUV5errFa19XVRckJAVB9esDcbCdNSQJTU1PKbGRkZIQI0p2dnbFs2TJijMjAwABu377NroFKpZI6X9WeufkQOQaurq7Yv38/jh07RqzrbW1tOHr0KPbt2wcjIyNBEktVuLm5IT4+npiN1dbWhocPH/ImgfkklnxVEn19fWRmZhLVoqmpKdy8eRNbt25ljzH9bqoQIvm1t7eHm5sb4VDI7bd2c3PjJbLMnMS6ujrU19cLciqcmppS21NsaGgIa2tr2NjYwMrKiiB9u3fvxqFDh4jn2NjYiE8//ZSqcDLSw2fPnqGjowNdXV3o6OiYVzuEKiQSCRwcHNiEnpOTE+zt7SGVSiGXy3Hs2DHqf/z9/bF27Vp8/PHHxPV248YNvPfee2r3Pu71b2hoqHWUhkgkgr+/vyAyx5h4MZU8Zl9nyJ2693w+ZE5fX5/XDOXevXtYuXIle6yzs5OSsMfHx2utHkqlUsTHxxMJ5NraWvT19antzWPGZ6hi1apV1L7k5eVFJKAZw7X5zpt93fHaPmtmZpGJiQmvrIGBKlPPz8//i5A51UzifJyTFkBjdHSU2lS6u7vxxz/+UVBzs6mpKUJDQxEeHs7rXsZdmLy8vJCamoovvviCWKxLSkrg7OysURIzn8pcf38/FbRwERYWhtbWVsE9ATKZDC0tLWhpaWHJqoWFBSHNdHR0RHh4OFHp4WaNgbneLnUyJLlcjrGxMYyPj2NsbAxjY2Nwd3fXOGhVHSwsLBAZGYmIiAiiP2BmZoaqRkVGRqK9vZ1wyKqpqXkpY5jy8nKNRA4A/u7v/g56enqsvFLd1/j4uMZ5YAyYCqulpSViY2MRFRWlU3/asmXLBG3UXPj5+Wl0XuTKK2dnZymipvrzy2bO/9K4dOkSHjx4gKCgIAQFBWk0p+AiJCQEOTk5RBY+Pz+fvda4hMrZ2VmncSdmZmZsta6xsZHtrZvPLCZ7e3u18koGYrEYJiYmRIZ8ZGSEMg5JSkpCfX09sfaWlJRg0aJF8PPzw9jYGJW8YqoSL0PkGDg7O+ONN97AsWPHCLLc2dmJI0eOYN++fVrNT/iwYsUKSiZ29+5dqudnZmaGkh1rkgX7+voiNDSUMNypqalhlQUAKFdVBwcHwZ/fqKgoym5eFaoSy4mJCTx79oyVqL1KxcHU1BQ6Ojp4K+LqiAyXyAFzagq+Qdi6wsXFhSJufORLqVTi6tWr1H7v6OiIzZs3Q19fH6mpqYQUsK+vDw8ePFDbVym0Z1QVAwMDOHr0qPYnxgPVfV31MRli5+rqCgsLC+r1FnqNBQUFwdvbm0hkP3jwABERESzh4g4JNzU1FSxdj4mJQX5+PhHrFBQUYMOGDdRtmddeFV5eXryyTw8PDyJBJZfL0draKthg5YeG15bMMRIXX19fjcGz6mLHlcW8KjA9IlKpVGsm+N69ewgLC0NjYyOUSiUcHBwQGxuLXbt28Q79FQptZhqv21BFrmsfQM9Q4UIqlbI27YyDHx+USiW1uHt4eMDY2Bjbt2/HoUOHiIDl2rVrsLe355XaALpX5oaHh3Hs2DGNvXLBwcHYtGkTgDkZTHt7O1pbW9nMqdCZMEwAzgSfEolEkNRYX18f+fn5FGkbHx9/abMRiUSCgIAAVs7Cd83zuWYtWbIEtbW1BJl78uQJVq9ePa8kSnV1NTV8mw9NTU0IDg6Gvr6+xob0kpISQWSOwdDQELKyspCbm4vIyEjExsZqHSDu7Ow8bwvmRYsWaSRzSqUSZ86cYckat/L0OqKnpwc9PT3Izc2FnZ0dQew0rbUSiQRLliwhMukNDQ3o6uqCra0ttZfMtw+akX77+vpidHSU7a3Tpc/T0dERra2tcHJy0pgUMDc3J8gcXzWE6TH87LPPiEr75cuX8f7771OBrEQigZmZ2SshcqrP580338TRo0eJ8+3u7sbXX39NBa1CZMt6enpYv349vv76a/aYTCbD5cuXCdOSFy9eUPMQtfWPrlq1CvX19cR6de3aNXzwwQcswVLF4sWLBe/zwcHBuHnzplqDKBcXFxQXF6O2thZNTU3zHsz8MhCijpkvVF14GRw8eFCwIVhBQQE1K9LMzAy7du1ilQ1RUVF4/PgxQVTv3buH0NBQ3vVeVzLX39+PI0eOaKw+ent7o729XbARGKPK0dSHJ3SGKWOG8sknnxBmKDdu3MDevXsxOjpKPc7ixYsFK5AMDAywePFitgADzKlUli9fTry+2kxPuGBaK1TfN13cMn9oeC3J3NTUFLuga8s+WFlZwcTEBOPj41rJwHxw7do1VFZWAphb1LU5IXFnnDU1NaGpqQlnzpxBQkICTp8+rZY0aMKrcDv8vqC1tVVwszAwR8TCw8MRFBQkqMLR3d1NbUCM9tvJyQnr1q0jZjzJ5XLWEIWvz4EbwGha5MbHx3Hs2DGtwZrqom5iYoJFixaxvREKhQK9vb0suWttbaWGcquDXC4XlLG9fPmyoPvTBfb29oiMjERYWJhGB0aFQkFlAv38/GBnZwexWEz0PoyPj6O5uVnnBfzp06e4cOECFfysWLECLS0tRFM/Q+Y0YXp6mpCnAXOb6TvvvIOJiQmUlpaiuLiYcj8E5qoBDx8+xMOHD+Hv788rrQPmkhWbNm2iri+5XI6pqSlMTExorBzyPbYqVJ3p/loQiUSQSCQQi8UQi8Xsz9zvqj+Pj48Lvt5V0dvby46TsbW1ZYmdvb09b7AQFRWFe/fuEaS2oKAAISEhVNClbeCyNigUCkxNTcHCwgL+/v6UtFYTGPkuMCenZaoVzs7OcHR0ZCsn5ubmROCjrrJqY2OD9PR0oloxNjaGq1evUq6HFhYWaGxsfGVEjoGdnR1L6FTPk6/aI7QH1cPDg3LtZOZVxcbGAqD75dzd3bVK6ExMTJCenk6smcPDw8jJyaESzQYGBggNDRV0vsCfjVDUDXJXJafa4OHhgcDAQMp8KjIyEomJiRgYGEB/fz8GBgbYr6GhIa296K8Kenp6cHR0JK5fW1tb/O53vyOIkNBk4pMnTyjzFT09PezatYuI0xjC8OWXX7LHZmdncevWLd7eLl3IXF9fH44cOaJx7bWzs8O+ffugUCjQ19eH1tZW1mma73oXij/84Q/sSCKmkqkukWtra4slS5YQKpXnz5+jtrYWnZ2dxDUglUoFyYRVERcXhwcPHrCJb4VCgcLCQnbkETD3fnEHwy9ZskTjqARPT09iTXvx4sWPdkTYa0nmVD/YQhz9GDKnLZjRFQMDA/ibv/kbAHMB/P/5P/9H7W319fWxfv16pKenIyQkBBYWFhgaGsKDBw/wySefoLW1FQUFBUhLS8ODBw90sqT9oUGTMQkDa2trhIeHIywsTJDMQRXcqpyVlRWxuIeFhaGjo4OoYoyMjODbb7/Fvn37qGCaW5lTVymemprC8ePHqUDUyckJwcHBhK5cU7ZTLBbDwcEBDg4O7KI6OTnJbgBtbW06Zfn+Wti4caOgwOvp06eUtJTpbbGxsYGjoyNBeGpqanQic8+fP6cGnwNztu5JSUkoKCggyJw6u3tV5OfnU5XW9PR0iEQimJiYYNmyZUhISEBNTQ01P0wV3D5RVchkMuTm5hIEbWJiQnCV9i8FfX19mJiYCJYDL1q0CFu2bIGenp7OSoSRkRHCrp8PMTExqKur07je9/X14d69e7h37x47/DsoKAiOjo7sOenp6SEuLo5IHtTU1FDP093dXaf1mgnaVO3Vu7q6BM/B1IT+/n709/cTyTBra2s4OTlRhlKaZLLR0dF4+vQp8TngVsWBuT3wVRM5BjY2NiyhU9dXCECn137lypWor6+nTEv8/PxgaWlJOUUKdV6NiIhAZWUlIdHkJqSAub1FSK8r0486ODg4b7WOWCyGt7c3AgICCFMWmUxGkLnOzk62/42rLJLL5RgeHmbJHTO2p7+//6WInr6+PpycnODo6AhnZ2c4OTnBxsaG93oxMzMjYj4h8u6Ojg4iIctg8+bNvHuQi4sLoqOjiZaD2tpaNDQ0UK+JUDLX29uLI0eOaHWrZtZvxrDF3t6ebR1i9nWG4M1HlcPIWpm4gSF3rq6usLa2Zq+vZcuWoaqqinh9r169Sj1eeHi41nE4XJiYmCAqKopIUpWVlWHZsmUwMTHhNT0xNzfXKh/39PQk3DiZ1+fHOOLrtSRzqoGukDeNqda8rDxMFXK5HHv27GEDvX/5l3/R2Ff16NEj3g/98uXL8eGHH2Lr1q3IyspCbW0t/vf//t/4zW9+o9P5aKs6dnZ2stnH7zu4i7cqYmJiEB4eDhcXl3lvcnwSSy7S0tLQ1dVF3La5uRm3b9+mhp0KqczNzMzgxIkTVNXF1tYWe/fupTJSukpXjIyM4OfnxwYfSqUSvb29LLn7S1RdmD4cxk3OxMQEIyMj1HNhcPr0abzzzjtaNwJtrlnBwcHE61hbW4s1a9YIChxbWlp4g8/Y2FisWLECACiHrt7eXoyPj6t1nxseHqYCt0WLFlEEUyKRsEY8ra2tKCoqUutqqA585hd/aRgbG8PCwgKWlpawsLAgfra0tIShoSHOnTtHkRw3NzeEhITg5s2bxHN89uwZOxRal013eHgYR44c0UgaGVOKjIwMtLa24smTJ6itrdUocerv70d+fj7y8/NhZWXFVuycnJywePFiFBQUsAGNUqmkenk1VW2ZKjrj0McQN6Hur68CTCDORXl5OfT19eHv7w8nJyfCCl4kEmH9+vX45JNPiH2TryL6KoicXC7H6OgoRkZGiK/R0VGtSoKzZ88SPcGaZORMUlW1f2l2dhZXrlxBeno6RRS0OUUyEIlEWLt2LT755BON57t48WIAc9fR2NgYBgcHWaddRjo3ODiIkZGReUkmpVIp/Pz8EBAQgEWLFvFWFblqpu7ubrUBsEQiYYkeFwqFAkNDQ+jt7cXZs2cFX9ORkZFYu3at4OuDa+KlzSxleHiY12F55cqVGsc4pKam4smTJ8T1fuPGDbz//vtEglYImevp6cGRI0coqbqTkxOWLVtGjD7RlHTl7uvMetLS0oLr16+r/T8+KBQKNnnEVHqNjIzg4uLCkrtly5bh6tWr7P/wxcyaxhFowtKlS1mjQGAuqfDw4UOsWLECeXl51Pu6atUqrfuDu7s70TenUCjQ2to679E6rzNeSzKnukAJyVIwH5b5zFNRhw8++IDtp8jMzMT/+l//S+PtNVWPzMzMcObMGfj4+KC/vx+ff/45fvWrX+kU6MzHEOH7ChcXFyqLDMxlYFNTU7XKXjRBXb8cF4zt8ueff07NZXN2dkZYWBh7TJsBikwmw+nTpynCbWlpiX379sHY2Jh6Ti9bVROJRLC1tWWlMrrCwcGBIGnMz6q/GxkZUYT64cOHasnc8PAwzp8/j927d6vdyFtbW6nXacmSJcTjBAcHE/KZiYkJvHjxQusC3tHRgRMnTlAVkIiICKxevZp9DCcnJ2oOoSap5d27d4nAQSQSaTRaEolEcHd3h7u7OwYHB/Ho0SPeLP53AQ8PD4SEhBDETds6lJOTQ5FMS0tL7Nixg71Wzp8/T3xOGhsbcfToUezevVtQllcIkQP+nEgRi8Xw8PCAh4cHVq9eTRA7TZn9wcFBFBQUoKCgAJaWliypU1edFYlErMRSLpcTxI1xo3xZ4saMZHFycoJcLsejR48wMzODVatWoaenB52dnejp6ZlXleTRo0dsttzKyoowlXB2dsbatWt5XU/VgY/Izc7O8pI01d+1VS80QdVUQywWw9HRkQ1OXV1dYWVlRawfXl5eVBXmxYsXRIANzF3DmiReXNjY2GDZsmUaLfCzsrJY4vYqDUpCQkIQFBQEHx8frZ9XZ2dnIgBWKpXo6OjQajPPhVgshkwmQ05Ojk7X+OPHjzE6OoqNGzdqHc8A6EbmZmZmcPLkSaoqHxkZiaVLl2p8HCMjI6xcuZLoox4YGEBhYSFbIZqdnaXumxvbdXV1UQY+wFxcs3fvXmo/np6eJmY+aoJYLIahoeErS+pNTk6ioaGBqkirg5+fn06fCVVYWFggNDQUFRUV7LHi4mL4+/tT+5+3t7egQfYGBgZwcXEhPCOExAI/RLyWZE71wy1EOslsFLoOWVaHX/7yl/j8888BzEmzvv32W8HNoOpgYWGBnTt34uOPP8b4+DhKSkq0Lj4/VKgja8PDwzh79qxGMqANvb291CKrbhMzMTHB9u3bcfjwYWLjvXLlCuzs7Fi5hiYDFIVCgXPnzlEEx9TUFPv27WPlndzn/DJN5ZOTkygrK0NJScm8iJyhoSG2bNmik/sfA21GPI2NjcjNzWWrYFxwq3Lm5uYUibKysqJmjVVXV2tcwHt6eqgZVsAcMVy3bh2xkYrFYri7uwvqm+vo6GD7lRjExMQI3vDEYvErkdcx0NfXh5GRkdov7lw5LlpaWuDt7Y2oqChBn7HKykrcu3ePOGZgYIBdu3axgVpQUBAMDQ1x+vRpgiC3t7fj66+/xt69ezX2Gqsjcra2tkhMTCRGCPCtw6rkedWqVWhvb0dNTQ1qa2s19q4ODQ0REh4+KJVK5OXlobOzE93d3S9N3MzNzQky5eTkRO1bqamp1P/JZDL09PQQ0s3u7m6dCB4zf1HVbVBXCbuVlRWuXbtGkLZXqYjRBoVCwbouqlYfVKVlLi4uSEtLQ319PUHsuWulupEEDBi3V9XKmrYeJ6FBs67o7e2FkZGRoAQw05umKvVua2vTicwplUo8fPgQ2dnZ8yKlDQ0N+PTTT7F582atEnm+gfd8YPZa7mB0Ly8vZGZmCiJLkZGRePz4MbGP3b9/H6GhobCystI6Y66zsxPHjh2jrnlXV1d2ViL3PVIqlZDJZIKMyZ48eYIrV65ojQ82b96M2dlZVprJlUfPF52dncjOzoa5uTnxZWJiIuj1TUhIIMjc1NQU0asIzO2JGRkZgpVXnp6exPvFdaP9seC1JHOGhoawtbVFX1+f1uBxcHCQJXOvwiTk//2//4df/epXAOYa5K9evfrKKn6qTfR8s15+LNA0ELixsRHZ2dnzHmzMzbAzUjF1cHFxQWZmJtHcLpPJcObMGfzkJz+BsbGx2sqcUqnE5cuXqSqjkZER9u3bR0hXuMYts7Oz7JBkoeju7sajR49QWVn5UkHl1NQUvvnmG7z11ltUVlQbuFU1ZgajatLl/v37cHFxYecGMhgcHKReq7i4ON7XIDg4mLhO6urqsHbtWt7b9vf34+jRo9QGu2jRImzatImXtHh6emrtm1MqlZTrqoGBgaDBpaOjo7h//z7Kysp0CoaWLl0KExMTlpwZGxsTZE3b9VJYWKixCqJUKpGTk4Pnz59j8+bNGklWa2srZZQjEomwdetW2NvbE8e9vb2xf/9+fPPNN8T70Nvbi0OHDmHfvn288zmHhoZw5MgRKtC2tbXFG2+8Qa0V2p6/SCRiKzbp6eno6OhgKzvzSXwAoEZoCIW5uTlL2BjyJqRSwQdmFpWzszN7jCF4TKWQO6NMCHR9TbjE/vuAyclJ1NfXE/PjbG1ttRJdX19fgqhxpZCvugf/ZdDd3Y0jR44gMDAQaWlpWsdkuLq6UmROKEZGRnDp0iVeBYZEIkFcXByVBImJiaE+J2NjYzh69CiWLVuG5ORktckj7h6krrJ++/ZtysDGxsYG27ZtE7yPikQirFmzBl988QVbuZTJZLh16xZ27txJfR6MjIzYvbujo4N33JC7uzt2797N3o7PpG16elojmZuZmcHNmzcFt0v4+vrCyMgIUVFR7P13dHSw5K6trW1e1fCxsTHeUT6Mqy2X5HEJn52dHQICAniVVwyWLl2qU/XPy8sL+fn57O8dHR2Ynp7WadzPDwGvJZkDgMDAQNy/fx8NDQ0aBwWqXjRCyraa8Kc//Qn/9E//xN7XrVu3XqlRyXdhK/x9w+zsLHp7ezXe5sGDB3BwcEB4eLjO9y9EYslFZGQkOjo6iM1oaGgI586dw549e3gNUJRKJW7evElkoYC5ysmePXuoYJevGjk9Pa1VgqZQKPD06VM8evRIa0bK2NgY0dHRGB8fJwI7AwMDuLu7E8HO8PAwTpw4gTfffFPwojgyMkJlLoOCguDp6YmjR48SwdOFCxfwk5/8hAjgi4qKiM+Avr4+uxlxERwcTFSZpqam0NjYSPW4DA0N4ejRo9TG5e3trXGT5+ubGxsbI6okT58+pa6npKQkjQH52NgY8vPzUVJSMq+M9vj4OFauXDmvftHp6Wnqddi3bx/u3btHPY/m5mZ8+umnWL9+PW+fydDQEG/v4erVq9WOZ3FxccGBAwdw/PhxIiAbHh7GoUOHsHfvXsKcQBuRMzU1ndeMRwYikYjtF1m5ciU6OztZYifUzEUoLCwsCOLm5OQ0b+ImFKoELzo6GhkZGSgvL0drayvq6+shlUphZmaG7u7uVyr5exlIpVJYWFjA3NycCg5ra2up9XTt2rXsuBZdqg9CXAJPnjyp8/nrColEAktLS1hZWcHS0pL42crKCtnZ2TqR8NraWjx79gzx8fFISkpSu3a7uroSDpltbW2CpH6aKkP29vbYvHkzjIyMKDKXmpqKwMBAXLhwgSLB9+7dQ1NTE7Zs2cKbPBIisywpKaGkekZGRti9e7fOyXYnJyfExMQQr8/Tp0/x7NkzikgyieC2tjZe5YeHhwd2795NVOP43hNN7UIdHR04f/48b7+qhYUFYmJiiLYDqVRKxRMGBgbw8vJiq6BKpRLDw8MEuevs7Jz3OiCXy9lEhzqIRCKYmZlpTIKYm5vrPHrHzc2NGGHBtNII7Xf9oeC1JXOJiYm4f/8+xsfHUVpairi4ON7bMTPggLkS73xx7NgxfPjhhwDmAsHs7Ox5a4fVQVXeopph/TGhq6uLCOhFIhH27NmDEydOEGTgypUrsLW11WmMg1KppAiP0IHTq1evRnd3N1F5ev78Oe7cucNrgJKTk0PZi0ulUuzatYv3nPnI3NTUlFoyNzExwUoptY05cHJyQmxsLEJCQiCRSPDHP/6R+HtoaCjS09Nx9OhRIkPb1dWFs2fPYufOnYIym9yqHFNBZ3rIVN2qpqencebMGbz11lvQ19fH5OQklXWMiopSK7m1sLCAm5sb8ZhPnjwhFvDR0VHK2hyYW/x37NihMfDn65trbm5mpZZyuZySLFpYWKhdh8bHx1FQUIDi4mK1VVOJRKJ1M62oqICBgQHR4ycUXBMMRn64f/9+3L9/H3l5ecRnb3JyEqdPn8bixYuRlpbGZo6np6dx4sQJSq68ePFirSZLdnZ2OHjwII4dO0YEJxMTE/j666+xa9cueHp6qiVydnZ22L9/P0uqdRkLogkikYglPqmpqeju7kZNTQ2ve6U2WFpaUlJJXd3f/hJgLMW5tuJMrx/XXfNVEzwDAwMqW88lbIaGhmqvay6Ri4iIQHR0NOv896qqD38pGBkZIS4ujiBrpqamap9vW1ubRiInkUhgY2NDkVi5XI6CggJUVFQgNTUV4eHh1GNwe+zHx8cxNDSktqI3PT2NGzduUO8Bg/j4eKSmpkIqlfLuRyKRCN7e3nj33Xdx8eJFNDY2En9vaWnBp59+io0bN1JBOJfgTU5OYnZ2ll2PGhsbKTMQsViMHTt2aJ3bqQ4rVqzAkydPiOvnxo0b1LlZWVmhtbUVx48fpwiZl5cXdu7cSckqmRErqvEMX4+8UqlEYWEh7t69y1tFDg4Oxtq1a6nX0tzcXOveIBKJ2OQBMyPzyZMnOvXH6gqlUqnViXTp0qU6O1Hq6enB1dWVGKre1NS0QOZeF2zcuBH/+Z//CQA4fPgwbxClUChY1ypLS8t5z584f/48Dhw4AKVSCVdXV9y5c+eVk63h4WG2AdvY2FjnOR4/FHBlU3Z2dvDx8UFmZibRmCyXy3Hq1Cm88847gqWA/f391OYutE9A1RBFNbPE11Pz6NEjaoMVi8XYtm2b2seTSqWCFviuri48fPgQ1dXVGqWUYrEYQUFBiI2NhaurK7u4t7a2UkF9eHg49PT0sHPnTnz11VdE8NrQ0IBr165RfWV84JI51ceNi4tDe3s7YZne09ODK1euYPPmzSgpKSF6x0QikVbXrKCgIOIx6+rq2Cr9xMQEjh07RgXiTk5OVKaUD9r65kpKSqjXceXKlRRBnJiYQGFhIR49eqS2N04ikSAqKgpJSUk4e/YssSn5+PigubmZeK8fPXoEIyMjLF++XONz4IKb2bWwsGDPNzk5GV5eXjh//jwVjBUXF6O5uRlbt26FjY0Nzp49S1XPfXx8KJdXdbCwsMCBAwdw4sQJ4vM+MzOD48ePY8mSJaiqqqLOw87ODm+88QZR0XpVZE4VIpEIjo6OkEgkePHihVYyx5ikMF/fB+KmCyQSCRwdHYkhw3K5nBqfIESK5+fnp1Zm9TJ24UKMqzRVHxiC9zLVB3UwNjZmCZomYwoPDw9BEmxgLnbR5lZoZGSEd999F6WlpcjJyaFk5GNjY7h06RKKi4uxatUquLu7s3+zsrKCsbExkZBpa2vjJXMtLS24cOECb9XFzMwMGzduhLe3N3HuXDASSlNTU+zZswcFBQW4e/culTw6efIk4uLikJaWxn6W+fb3sbExWFlZobe3F99++y2lalq/fr3gRC0fDA0NkZaWRvTjDg0NUQna4eFhXiLn4+ODHTt28EonRSIRDAwMiPeLu9ePjIzg4sWL1FxiYI68rFmzhiXpXIKkbdYxF7Ozs8jKytJJLu7q6sr2xL5KRVlWVhba29sRFxenU6Le09OTInM/Nry2ZC42NhZJSUm4f/8+vvrqK7zxxhvsLCoGv/71r1FbWwsA+NnPfkZ9sL7++mscOHAAAPCv//qv+Ld/+zfqcbKysrBr1y7I5XLY29sjOztbZ9enmzdvIjk5WW25f3R0FNu3b2eDrbfeeutHp/dlwCVzDGmOiopie8IYjI2N4fTp03jzzTcFyau4H3AzMzOtvQXc22/fvh1ff/21xn4LPrnPpk2bNGaKRCIRDA0Nic2VkbLI5XLU1dXh0aNHxILFBxMTE0RHRyMmJoZ3E+SadVhbW7OLpomJCfbs2YNDhw4R5/H48WNYWlpqnfnCDfZUs78ikQjr1q1DT08P8fpUV1fDycmJ2iSDg4O1SpiDg4Opal9DQwM8PT1x7NgxinDY29tj7969gt1QuX1zzPUzOTlJVPyBOQmhqkHK5OQkioqKUFRUpFZCIxaLERkZiaSkJFhYWECpVFLz5+Li4hAXF4dTp04R11xeXh4MDQ11sonmkk9u1trd3R3vvvsurl69SqgEgLlr+vPPP+dNINjZ2WHr1q1Uz4tSqYRCoYBcLodMJmMH1jNfaWlp+Oabb4j7lMvlRP8DA3t7e+zfv5+SJv4lyBwz0DY3N1dj4P/uu+8SBOiHBIlEws6yZEbujI2N4de//rXG/5uZmUFCQoJO66oQ9Pf3U5VgbcE6X/WBmbGWlZWldS1loKenBysrK0oKyfzOkNSBgQHU1dWpvWaePXuGiYkJQWS/pKSEWgsYcw4GY2NjmJiYwOLFixESEoK8vDwUFxdTe1NHRwcOHz6MkJAQrFy5EhYWFmzvqGqPWVtbGzHQXC6XIzc3FwUFBbwBe3BwMDIzM6m4hu+2qolAkUiExMREeHh44Ny5c1TS5uHDh2hpacHWrVthbW0NAwMD6OnpEcmwkZER6Ovr48SJExQRSkxMnFcLBhdhYWEoKyvTeJ3weRv4+vpqVX4wahQGqs+hrq4Oly9f5jUOcnZ2xpYtW4i1+2XIXHd3N86dO6e1tUUVUqkUGzZsYPtOx8bGKLdarnOtUCMmhUKBqqoqVFVVwc3NDXFxcQgMDNRqxuXl5UX063Z2dmJycvKVOth/3/HakjkA+Oijj5CQkIDJyUmkp6fjn//5n5GSkoLJyUmcOnWKdZxctGgRfvGLX+h8/0VFRdi0aRNmZmagp6eH3/72t5idnSWqC1y4urpShhq/+tWvsGfPHmzevBmJiYnw8fGBqakpNTQcAPz9/XlJ5Y8F3A1MtYcmPT0dvb29RLaqvb0dV65cwcaNG7VWjriZXU9PT52lam5ubsjIyMC1a9cE/8/atWvZYEITuGRuYGAAbW1tKC4u1jpbx8XFBbGxsQgKClK7ichkMura5UpwbGxssGvXLhw5coQIsnNycmBhYaF2k5ydnaXeO67hkL6+PrZv344vvviC2Lz4HBa5iRk+mJmZwcPDg3hfy8vLUVhYSM3zs7a2ZsdACAU3adPX14exsTEUFhZSGy0zIHxqagoPHz7EgwcP1I6XEIlEiIiIwLJly4i1or+/n6reMW6GGzduxPnz54m/3bp1C0ZGRoIDF21kDpjL9m/duhVlZWW4efMmcQ2oqwT39/fjs88+4yVsrwLqiBzw6slcX18fLl68yBukiUQixMXFsXKyHxtMTU3xr//6rxgaGsLAwACuXLlCVWuam5vxySefYOXKlVi8ePG8Z4FywV27zczMdHbaBOYIUF5eniAi9/bbb8PS0hLGxsZan4dSqcSNGzc0XvMKhQLV1dVapchjY2O4e/cucczOzg5r1qxBdXU1sUZ0dXWxZherV69GTEwMbt26xeuaWV1djbq6OiQkJCAhIQEuLi4UmWPQ19eH8+fPU2s6MFcBXbNmDUJDQ3lfF02VOVW4ubnh3XffxZUrV9ikO4POzk589tlnWLduHUJCQmBubk4oCwYHB3Hnzh3q+gsKClLrlKwrGDOUzz77THD1adGiRdi2bZvW9YGbrJ+ZmcHs7Cxu3bpFjMxQRWJiIpYvX06tcVwyJ0SppFQqUVxcjKysLJ3XaZlMhgsXLuCtt96CWCxmK++aHmt8fJwgeDdu3ND6OMyYInNzc8TGxiIqKkotOXN1dYVUKiX2qObmZo1zBX9oeK13pMjISJw+fRp79+7FyMgI/vmf/5m6zaJFi3Dt2jWdXfmAuYoaE1zPzs5iz549Wv/n8OHDePPNN6njAwMD+PLLLykbVlUsW7YMJ06cmLfO+3XHzMwMlSFSlbNKJBJs3boVX375JSF9qqyshIODg8ZRDkLnywlBdHQ02tvbUV5ervW2aWlpbE+HNnAXeNXhnXwQi8UIDg5mpZTaUF9fTzWuq87LY+Dq6orNmzfjzJkzxPHLly/DzMyMkNQw6OjoIDZxxlyCCxsbG2zatAmnTp1Se54eHh6CZczBwcHE+/r06VPqNhYWFkSflVDw9c2Vl5dTVcTAwEA4ODjg/v37KCwsVGsbLRKJEBYWhmXLlvF+xrmBEzPXD5jra5yenqaSCJcuXYKBgYGgTUsImWPOMzo6Gu7u7jh79qxWYwlmePBfCuqIHKB5LIguUCgUePDgAXJycniDGxsbG2zcuPEHNc9zvmCqU++//z5u375NybNmZ2dx48YN1NbWYv369a+kSsclXx4eHjoRRYVCgaKiIuTm5goaBWJpaamTzKuuro4iUPHx8RgdHSWklxUVFVrJXHZ2NpUIWrNmDaRSKRwcHAjS1dnZSRgO2draYs+ePaivr8etW7coabVMJkNeXh4eP35MjXLp6urC7OwsysvLkZWVxZu8cXd3x6ZNmzQSaW2VOVUYGRlh27ZtKCkpwa1bt4jP3szMDDvWh6umuHTpEnVfLi4ugpK6usDBwQFxcXGC5oAGBARg69atgtYg7l7f3NyMe/fu8RrzmJmZYfPmzWoVYdxEr7bK3MTEBC5dukQ5fwJzVbfVq1ejv7+fGhOkio6ODty/f1+QbFgkErF7GbOv19bWUkopLhljMDIyguzsbOTl5SE8PBxxcXGUX4VUKoWbmxuR6H/x4sUCmXudsG7dOlRWVuKjjz7CtWvX0NbWBn19ffj6+mLbtm348MMPv/Mehv/+7//GnTt38ODBAzx9+hR9fX0YGhqCsbExnJ2dERcXh127drHZ/R8ruMGsSCSCg4MDcczY2Jjt7VINsrOzs2Fvb6/WSW9wcJBa9OZL5kQiETIzM9m5Tppw584dwmkK4N/sdNGdm5qaIiYmBtHR0ToRFG7zuoeHh9pNOTAwEKtXr8bNmzfZYwqFAmfOnMGBAweo94XbL+fg4KBWKuzv789KpPnQ3NyMjz76CPr6+tSXnp4e8bu2wMzU1BT79++fl+ssM3ha1eWT+14Cc9fk73//e0oGporQ0FAkJyfz2u8z0FSVBubsvScnJ4msvVKpxNmzZ7Fnzx6t85qEkjkGjHzyT3/6k8bb/aXR09Oj9rm9ispcX18fLl26pLYnbMmSJUhJSRE0B+rHBH19fWRmZiIoKAiXL1+mCH1TUxM++eQTpKWlISYm5qX2Nm4iTrX/Sxva29tx9epVqlrPwM/PD5GRkUTyamhoSLC9OWMbrwozMzMsX74cLS0tBJnr6OhAb2+v2hmezc3N1DodGhrKBvKOjo6USZW65+Tt7Y3i4mLk5eVRCaaRkRHKcEqhUOA3v/kNbzJKLBYjJSUFS5cu1Sp546vMaXrvRSIRFi9eDDc3N5w9e5YioELs+Jk5vS/zGVUqlZidncX09DSmpqYwNTWF6elpQUZ3hoaGSExMxOjoKDvvT9Nz5vaPqqvGBQYGYt26dRrlgrrILJ8/f87rKArMXVtbtmyBra0tlciNjY1FY2Mj8d7cu3cPixYtovYpbZiZmaGSMzt37oS7uztKS0vx6NEjXiXS7OwsSkpKUFJSAj8/P8TFxcHb25t9nT09PQky92Prm3vtyRwwF5T+5je/wW9+8xud/u/NN9/kraIx+Ld/+7dXInnkcxBbAA0uMbK3t+ddnO3t7bFp0ybWMAb4c1DLtbtnwP1gm5iYaAysNYGp8gkJTnQZ2qsNrq6urJRS16B1YmKCICUAf1VOFXFxcRgaGiKykoyT4VtvvUVsGpr65biQyWRaK+WvqtKjr6+Phw8fstUE5kuTa54quGSOD+o2YmCucpicnCxoADs3MOPbJBMTEzE5OUlkTRkzoP3796utJvCNJdB2/T958oSaI/cqIcS9EwBOnTqFN954g7da+zJkTkg1bsOGDa9kPukPGV5eXnjvvfeQnZ3NW6W7fv06njx5Mu8q3fDwMNVXJSQRNz09jbt371KVdAampqZYvXo1goKCIJfLIRKJiKRaT0+PoPf+3r17VECdnp4OAwMDtqVCNXiuqKjAypUrqfuRy+WU6YmBgQExU5W7Jqgjc8DcZyE+Ph5hYWHIyclBaWmp1qQhH5GztbXF5s2bBQft3McQSuIdHR3xzjvv4Pr162pdM/mgr6+PXbt2wcjICBMTEwQR0/Xn+e7X3OHXYrGYmP9paGhI/M51oORCT08Pq1evRmRkpMbXT6FQCKrMyeVy3L17l9ewDSDdSAF6/7Wzs0NYWBi++uor9v1VKBS4cOEC3nnnHZ1k5y0tLZSKx9PTEwYGBkhMTMSSJUtQW1uLoqIitfOWmbmRdnZ2iIuLQ1hYGFW57Onpwfj4+F98BMz3BT8IMreAHwa4lQlNUruAgACkpKQgJyeHPTY9PY2TJ0/i7bffpmQZr6Jfbnx8HI8fP0ZZWdkrn0MlBNPT0xgbG8PU1JTOC1R1dTWxgEqlUmJIvTqkp6djZGSEMMQYGRnBiRMncODAARgYGECpVFKVOb4gSCaT4fHjx8jPz9dqUfyqMDAwwBvM6evrs8SOGRyv+jvTJ6Or2RGDwMBAJCcnUxVMdeAzP+ELnpgxD1NTU0TGemZmBt988w0OHDjASxy52W7GHIIPMpkMWVlZxJwlTdi8eTMMDAwgkUggkUgglUrZn9UdE4vFGBgYwJEjR7T2gzLP7eDBgxQBnS+ZW6jGvVoYGBggMzMTgYGBuHz5MkW+XqZKx127jYyMtCZH6urqcP36dbXXVkxMDFJTU9l9QiqVwsbGhpC5dXd3ayVzfX19lBzNy8uLNUMSi8UIDQ0lblNVVYUVK1ZQFS4+F+SUlBRCfcE13BkYGNBaQTQ2NkZmZibbT8fnkKgO3LEkQsAlc9oqearQ19fHxo0b4eXlhWvXrgmSxM7MzOCrr74SdNu/FhQKBcbHx+c1GsPJyQmbN28WVBEcHx+nCCg3Udrf34/z58/zqohMTEywceNGStHEjW+srKzg4uLCjgRj0Nvbi5ycHKSlpWk9VwbcYfOurq7E9SuRSBASEoKQkBC0tbXh4cOHqKmp4U1E9Pb24urVq7hz5w4iIiKovzc3NwuKc34IWCBzC/jegLvYaMsEJiUlobu7myAa/f39OHfuHHbt2kVsIvPtl2Nm05WWlqK2tvaVVtp0RW9vL7KyspCdnY1FixYhIiICfn5+gjZLrotlQECAIFdHkUiETZs2YXR0lCBs3d3dOHPmDHbv3o2hoSFKYqgaBMlkMpSVlSE/P19r4P7XwszMDOWsqQo9PT1YWlrqbPPs7++P5ORknaUnw8PDVFZc3X2IRCKsXbsW09PTxLU/OTmJY8eO4cCBA1QFhCuxVB1LwL3dt99+y5vxt7GxgVQqRXd3N3G8q6tLp80cmPuc8hE5R0dH7N27l63mMJiYmMDx48dx8OBBIljRdWg40zuVk5PD259hbW2NDRs26CTjW8Cf4e3tzfbScSvWTJWO6aUTamDClWS5u7urJYOMuUJdXR3v3+3t7bF27Vpekubg4ECQOW29okqlEtevXyf2BLFYjDVr1hDnFx4eTpC5kZERNDU1Eb3Ho6OjyM3Npc5n8eLF1PlzR9h0dXVp3M/GxsbY8QxC9y8TExNs2LABfn5+gm6vCu5jzEdeGx4eDhcXF5w9e5Zab/jwfSJyL4uAgADBLozc9VMsFrOJXqVSiYqKCly/fp339fH19cWGDRuoVo3JyUlqL2L2k+TkZNTX1xP7Q2FhIRYtWiQ4puKSOb4efAaurq5wdXXFypUrUVxcjNLSUt7qMVetwqCqqmqBzC1gAX9NTE9PU9UDbSYYIpEIGzZswMDAALG4NDQ04M6dO2yAOTQ0pLNMZ2JiAuXl5SgtLaUCYV2xfft2jfIiZrPLzc1VG4SoQqFQoK6uDnV1dTA1NUVYWBgiIyPVZvL6+voouYI2iaUqpFIpdu7ciUOHDhHv0fPnz3H16lXqtTQ1NYWlpSVkMhlKS0tRUFCgE4lLS0uDjY0NZmZmtH5xN4ZXhdnZWfT29gq2bPbz80NycrJOpgmq4FbljIyMNBJJsViMTZs2YXp6mpDsjI6O4tixYzh48CCxSQvpl6upqcHly5d5RymEhoYiMzMTYrEYX3zxBfG6FBYWwsfHR+OmrAp1RM7JyQn79u2DkZERNm3ahMnJSaKKMDQ0hOPHj+PAgQNsIoJL5jQlNvr7+3Hp0iWqiswgPj4eK1asWKjGvSQMDAywdu1atpeOu/a+ePGCrdJFR0fr7ELMR7QVCgWKi4tx9+5d3utXKpVi2bJlWLp0qdrqrb29PdHfpo1E1NTUUFWuJUuWUOuwg4MDHB0diT2qoqKC+LxkZWVR58183rjPw87Ojjg3VTInl8vR1dXFkre2trZ5SdZtbGzm3VP+MpU5Vdja2uKtt97Cf/zHf8zr/18Wenp6MDQ01Lp36enpQU9PD5OTk69k5lpOTg7y8vIQGBiI6OhojSoiPidLsViMqakpXLt2jdd5XSKRYOXKlYiLi+O9X+71IhKJ2J5ziUSCTZs24fPPPyfW3kuXLuG9997TOktybGyM+lwJ2TcsLCywcuVKLFu2DJWVlXj48CGvWQwXqrNnf+j44T/DBbwW4AazYrFYkERNX18fO3bswBdffEFUhwoLC+Hg4ICwsDCqX87Y2JhXpqNUKtHS0oLS0lI8efJEaz+Pvb09zMzMtOrfr127hl27dmkN9JcsWUKRueXLl6O8vFzthsxY5RcWFsLV1RWRkZEIDg4mZAvcqpyJiQnlZKYNxsbG2LNnD7788kvidS4vL6dcPR0dHfHo0SOtJI4Zonv16lWCbMjlcvj7+2s9J7lcjj/96U8ayXZSUhKGh4cxNDSEoaGhVz7kFAAOHjz40n1VfBJLbUGuVCrF9u3bcezYMUIuODg4iGPHjuHNN99kM7yayJxMJsOtW7d4h8ZKpVJkZGQQvRubN2/Gl19+SXw+Ll68iPfee0+r2VRfXx+OHDlCNeCrEjnmcXfs2IEjR44Qr01PTw9OnjyJvXv3Qk9PT5DMUqFQ4OHDh7h79+5CNe6vCKZKl5WVhbKyMuJvMzMzuHbtGttLp65KNz4+TgVtXJLR2dmJq1evqjWj8vb2RmZmplbDH+5+09PTA6VSyfs5nJ6eJmZcAnO9SupmcYaFhRFkrra2FmvWrIGBgQGeP39OBd0RERFq1xRHR0ciIL558yaGhobQ1tb2yoait7S04PDhw9i5c6fO5lGvojIHzPWhXbhwYV7/KxaLYWhoCAMDAxgaGrJfzO/qjqv+LBaLMTMzg08//VRjW0V4eDgyMzOhVCoxMzODyclJjV9PnjxRO3uUgUKhQE1NDWpqamBtbY2oqChERERQ7RV85ietra04f/48b8xgY2ODLVu2aFSOcJ+rubk5sa7a29sjJSUF2dnZxP9kZWVh7dq1Gp8XN/mhr6+vUwJUX1+fNX9rbGzEw4cPecdwqOLf//3f8a//+q+CH+N1xQKZW8D3AtyN2MHBQXA2xdLSEtu3b8fRo0eJjeTKlSuwtbXllViqbjCTk5OoqKhAaWmp1myPVCpFcHAwoqOj4erqirKyMoLMSaVSGBsbE4vs+Pg4jhw5gq1bt2ocHM4X0ERHR2PZsmVoampCeXk5njx5onbeF5OJvXnzJoKCghAZGQk3NzeKzIWGhs4rW2plZYXdu3fj66+/VnsOwFxlVNMC6+npieTkZLYfzdfXl+hra2hoQFJSktbzefz4sdaqaUhICOzt7dnf5XI5RkZGWHKnSvQYowVdyd7Vq1eRkJCAkJCQeWehhfTL8UFfXx+7d+/GkSNHiACvp6cHJ06cwL59+6Cvr6+WzPX39+Ps2bO8skpbW1ts3bqVCnIdHR2RmpqKrKws9tjo6CiuXr2Kbdu2qQ3e1BE5Z2dn7N27l5IWGRgYsEPsVc+/paUF586dw/bt27WSOW3VOGZu3EI17i8DAwMDrFu3jq3ScYNPbVU6rsRST0+P7RubmZlBbm4uioqKeD+zxsbGWLVqldp5aFxwr/OpqSmMjIzwkpnc3FzqOl69erXaykRoaChu377Nnufs7Cxqa2sRGhpKzdwyNDTkNUhh/o/PHESIdT4XVlZWcHV1RVVVFe/fu7q68OWXX2Lnzp06BdyvojLX29uL06dPU2odPoSGhiI2NpYgZFKp9JU4g2dlZWntjy8rK0NCQgIsLS1hYGAAAwMDrRJibgLU1tZWbewxMDCA7Oxs3L17FwEBAYiOjoaXlxdEIhH1eWptbcXhw4d5Pw9RUVFYtWqV1uoZX78cF0uWLMGzZ8+Iz2dpaSn8/f01SnO5ShpPT895ORCLRCL4+vrC19cXZWVluHLlis738UPDAplbwPcC8w1mGXh4eGDNmjXEbDaZTIZTp05RA549PDygVCrR1taG0tJS1NTUaCQnwNxiGx0djfDwcCLo5FaemCzwiRMniOB6dnYWp06dQmZmptq5c4xEQpWQDg0NwdTUFF5eXvDy8kJGRgZqamrw+PFjtU5PzIavzhHM3d2dDY6VSiW78Gv6zvwsEomwdOlS3Lt3T80rpR5cEseAS+ZaW1sxNTWlsadvZmYGeXl5xDErKyuMj48TWc/c3Fxs376d/V0ikcDKykqt7FWhUGBkZATDw8Noamqi+lj40NPTgwsXLuDu3btYunQpIiMjdTYMeJnr38jICHv37sWhQ4eIjbitrQ1nzpzBzp07qaDIxsYGVVVVuHr1Km+WODw8HGvWrFG78cfHx6OhoYHYnGtra1FeXo7IyEjq9pqI3L59+9S+1yYmJuxzU/3fp0+f4sqVK1QVgAkMhFTj1q9fP28p2QJ0g4+PDz744AONVbra2lqsW7eOCIS5iTg3NzdIJBI8e/YM169fpyScDCIiIpCeni649wiYk3IZGBgQM956enooMtfd3Y2HDx8Sx3x9fTXOtDI1NYWfnx8x26uiogJjY2NUEJ+amkpUYMbGxvDs2TM8e/Zs3rJypgLi4uLC9iExjzE4OKjWCGhsbAxff/01NmzYgJCQEEGP9bKVubq6Oly4cEFr9YpBTU0NoqKiXvkMyPr6eqrv083NDVu2bMEf/vAHNpGkUCiQl5eHDRs2aL1PmUxGDUhPS0vDkiVL0NrairKyMrXxiEKhwJMnT/DkyRNYWVkhKiqKd6g7l8gZGhqyCRUh4Fb0+IipWCzGhg0b8OmnnxL9eJcvX8YHH3zA+7lTKpU69ctpAnNf9+/fp9aIHysWyNwCvhfgVuaEDo1WRXR0NLq6ugi5GJ/Mr6enB59++qnWBneJRIKgoCB2gDLfpsS9fzMzM5ibm+PAgQM4c+YMsXgplUpcvXoVw8PDSElJoe6P0aarBuRDQ0PEJmVoaIjo6GhER0ejp6cH5eXlqKys1Mk1iztD5i8NLy8vJCcnqw2cmewcszkyC7WmzaeoqIgiBuvWrUNzczNB8mpra9HR0SH4ehKLxbC0tISZmRkhIxGC4eFh3LhxA3l5eYiNjUVsbKygYHJsbIx6/3RNZjDz9A4dOkRck42NjTh16hRlUFNYWMi7CUqlUmRmZvI6g6lCJBJh48aN+OSTT4hkyY0bN+Du7k64Tvb29uLIkSPUc9RG5BhYWVlh7969OHz4MBFoc7PbzPkvVOO+n2CqdIGBgbhy5QpVVXj+/Dk++eQTpKenIyoqCiKRiKrMWVtb49tvvyXMcVRhY2ODtWvXzsuFViQSwd7enjJ6Uq00MKYnqgGzRCJBRkaGVtISFhZGkLmmpiaqBcDZ2RlRUVHo7u7G06dP8ezZM7VJO02wtbVlSZurqyvs7OzUVsisrKzUkjlgjoCcO3cOvb29WL58udbnOd/KnFKpRE5Ojtr5o+qgUChw+vRpvPXWW4IcIIVgcnKSGsuip6eHjRs3wsLCAjExMQShr6ioQGJiotZxL/X19dRA+JCQEIhEIri7u8Pd3R2rVq1CZWUlSktL1fZsDw4O8s485cLDwwObNm3SSSorpDIHzH0W09PTce3aNfbY2NgYrl+/ji1btlC3HxgYoD7zupI5pVKJZ8+e4d69e1pn/DJQlzz/oWGBzC3gO8fU1BQlA5sPmQPmpC59fX0aB0ZyM8NcWFtbIzo6GhEREVp7gLiEgjGdMDAwwO7du3H58mVK5nj//n2MjIxg3bp1lMTA0tKSInPqYG9vj/T0dKSmpqK+vh7l5eV49uzZK+8Jmy+8vb2RnJystRdJT08Pnp6ehFy1oaFBLZmbmJhAQUEBcczX1xdeXl5wcnLCo0ePCIKRm5uL3bt363Tuubm5GgMcAFQWX/X8cnNzUVBQgOjoaCxZskSjmQk3u2pgYDCveVyWlpbYt28fDh8+TDx/vp5OPiLHDAlXlaVqgpmZGdatW0ckB2ZnZ3H+/HkcPHgQEolELZFzcXHB3r17BTmqAnMSuF27duH48eMaq+jFxcUoLCzkvY2VlRU2bNiwUI37juHr68v20nEHQs/MzODq1at48uQJVq1aRcl/+fo6gTlClZiYiMTExJcyO+Ajc6qorKykCGZCQoLWfjxgzunW0NCQ142PgVgsxu9//3u1FUchcHJywrZt2wSvIdzKi7u7OyQSCdXfdO/ePfT392PDhg0aEyHzqcxNTU3h/PnzvDM9nZycYG1tTZjT8P3/iRMn8Pbbb2vds4Xg+vXr1N6enp7Ovs+JiYkoKytjq1JKpRJ5eXnYvHmzxvvl9kZ6eHhQe4ORkRHi4uIQGxurk3qIi6SkJCxfvlxnmatQMgfMEaWnT58SbRXV1dUICAhgx3Mw4O5DZmZmgsk3U5W8f/++xiS8sbEx5HI5sS+/rIHd64L5NXgsYAGvENxgViKRCA4ouZBIJNi2bZtg22sGYrEYwcHB2L9/Pz788EMsXbpU0KbAXfBVbdMlEgk2btzI2/9VUVGBEydOUGSAe95CnMgkEgkCAgKwY8cOZGZmar39Xwt+fn6CpS/cOTcNDQ1qSen9+/cpCU5qaiqAucrl0qVLib/V19errdLw4fnz58jPzyeOWVhYUEHJihUrsGPHDrXPcXZ2FkVFRfjoo49w6dIltVlW7vXv6Og4734POzs77NmzR2tfBBcRERF4++23df7cBQYGIioqijjW0dGBvLy8V0bkGHh4eGDr1q0aX5vJyUneoCc2NhbvvffeApH7nsDQ0BDr16/Hnj17eBMdTJVOSGLK09MT7733HpYvX/7SrnV8JigMpqamcPv2beLvlpaWSExMFHTfTL+1JrS1tWklctrWhs7OTnzyySd4+PChoNePG6xPTU1hz549iImJoW5bU1ODr7/+WqOxla6Vud7eXnzxxRe8RC48PJydZ6qKmJgYyiRrcHAQp06d0pn0cFFdXU2RLl9fX6LCY2pqitjYWOI2VVVVGonG9PQ0nj59ShwLDQ1Ve3uRSAQ3Nzds3LgRf//3f4+MjAyd1ucHDx7g+PHjyMvLQ3Nzs6DXRaFQUNefplhKJBJh3bp11Fp+7do16hrhJge8vb21XstyuRyPHz/Gxx9/jHPnzql9fc3MzLBq1Sr8/Oc/x/r164m/CXG9/CFgoTK3gO8cfOYn82mKZSCTyWBvby+ICDHa88jISJ0HcQO0zJI7s0UkEmHFihUwNzen5DnPnz/H4cOHsWfPHpYEchdOoRnarq4uZGVl6TQQVgiYxVYkEhE/C9kYbt26herqaqxbt06rM6mvry/hDjc6Ooqenh7q/4aGhqhh1qGhocQw3djYWBQVFREk4u7du3jjjTe0nvP4+DjloCYWi7F9+3YUFRURZgFPnz7Fvn374O/vj5aWFuTn5/MavygUCtb1MyAgAAkJCQQBfNl+US4cHByQlpZGyF80wdbWFo6OjqipqYGenh709fXVfuczFli1ahWam5uJvrz79+/zyqVcXV2xZ88eXiKnUCggk8kwOzuL2dlZ9mfuMXd3d8F9EgvVuO83NFXptMHIyAjp6ekIDw9/JWYXAE3m+vr6IJfLIZFIcPfuXSoxkZGRoZNc18PDg+rDEgJ9fX34+vpi0aJF8PPzQ0lJCXJyctTefnZ2Fjdv3mTdQjXJ/7hkbnBwEGKxGJmZmbCzs8PNmzeJfaujowNffPEFdu7cyaug0aUyV1tbi4sXL1LJOZFIhFWrViE2NhYikYiqZhoZGSEtLQ1ff/01sX62trbi0qVL2Lx587yuidHRUWrdZBIP3PtLSEhASUkJkZDl9mhzn6uqYZNYLBbcx2ZkZITo6GjI5XLCeEoTZDIZXrx4wcYEUqkUrq6u8PT0hIeHB1xdXankx+joKGUqpa3Ca25ujjVr1uD8+fPsscnJSVy5cgW7du2CSCSCQqGgYhMvLy+19zk7O4vHjx+jsLBQYwxkZWWFhIQEhIeHs8+Fe62Pjo5iZmZG5wTn64YFMreA7xy6DgvnA2No8vDhQ8HDvdeuXcv2ZswHCoVCY2VOFTExMTA3N8fZs2eJhuHu7m58+eWX2LNnD+zt7XWuzI2OjuLu3bu8/UPqsGfPHranRJWg8X3nw/3793H37l1Bj9Xe3o7PP/8ciYmJSEpKUps5t7GxgaWlJfF8GxoaqOAqNzeX2hBTUlKI2+jr6yMpKQk3b95kjzU1NeH58+caNfpKpRIXL16k3tOVK1fC2dkZAQEBBJlrampijVo8PDzg4eGBrq4uFBYWorq6mjcrzswH9PDwQGJiInx8fHQmczMzM7xOnMx37vlrQ19fH/FaaQMf0RP6mLOzszh27BgvSXsVluqqiI2NRWpq6g9+E3/dwQTLTC+d0JmUmzdvZl39XhW4lQ+FQoG+vj4oFApK4unv76/RnRiYW1N6e3tRW1uLuro6XtdYdbCwsGAfg+v6p5q8YmBubk71JLW0tODTTz9FSkoK4uPjeatk3D1ndnYWExMTMDExQWxsLKytrXH27FmCtIyOjuLw4cPYtGkTRUiEVOYUCgVycnIoBQQwJ5Xbtm0b0ffIJXOGhobQ19fHrl278OWXXxLPu7q6GtbW1tS+oA1KpRKXL1+mHiszM5N3XzcyMkJ8fLzgHm2ua6ifn5+gnmqlUona2lpkZ2drddbUBJlMRvRpSiQSuLm5wcPDA56ennB1daXiDT09PUFJ7pCQENTV1RG9rPX19Xj8+DGioqLQ0dFBqZD49uKZmRmUlJSgsLBQow+Ara0tkpKSeB2k+STP/f39L50k/b5jgcwt4DvHy5ifyGQy1NTU4NGjR4IbYhncvHkTo6OjSEhImJcZwsTEBLVxqSNzALBo0SK88cYbOHHiBGFIMTIygsOHD2PHjh1Uo/LQ0BDvrKOZmRk8ePAABQUFBDlUhbOzM9ugrCrxq6mpoWSNQlFdXS2YyDFQKBS4d+8emyXmm58kEong4+NDZK0bGhqQkJDA/t7d3U05dMbExPBmDqOjo1FYWEhs8jk5ORqDv6KiIqqy5uvri/j4eABzjnyqRi0KhQL19fWEVMbR0RGbN29GSkoKCgsLUV5ezlvFbG5uRnNzM8zMzKjg1crKCl1dXRRJY4gb1531rw2GgM0H2gYxvwowQd58TDAW8N3Bz88PH3zwAW7duiUoOfXNN99AKpXC2dmZdWl0c3PTuAZrg6GhISwsLIhqQFdXF4qLi4m1XiqVYvXq1bz3wSQWmcSNrj07KSkp8Pf3h729vdq1io/M7dq1CyUlJVTlTyaT4fbt26itrcX69eupGavm5uaUi/Lg4CAbxPv6+uKtt97CyZMnCTIhk8nw7bffIiUlBUlJSey5aqvMTU5O4vz587wqBmdnZ2zfvp3aB/nIHDC33+7evRuHDh0iqnv37t2DlZWVViMnVZSWllLnFBISotHFMz4+XlCP9tjYGFWZEuIO2t7ejqysLKpP81VALpez5C4vL4/Y2xhYWloKSpaIRCJkZmaiubmZIGG3bt2Cl5cX5WJpZ2dHfE4nJyfx6NEjPHz4UOP+5uTkhKSkJAQEBKg9Lz09PSoxvEDmFrCAvzAmJiaobJAQMjc2NoaSkhKUlJTo5OSoCplMhry8PJSXlyMtLQ1BQUE6ZXn5qhHaslguLi5466238M033xCb/NTUFI4fP44VK1ZQ58hkSYG5QKGiogJ3795Vm8E2NzdHamoqO18pPDyccGasqalBRkaGzhWLlpYWXLx4UeNtzMzMsGXLFly5coWyw+/r68OhQ4ewePFipKamUn0Qfn5+RCDS0tKC6elp9nZc9y59fX21Q3qlUimWLVtGjKpoa2tDfX09bza9o6ODcq80NTXFxo0b2WvCwMAA3t7eRG/H06dPefserKyskJmZieXLl+Phw4coLi7mNT7gew8PHTrE+5wWIAy/+MUvFqpxrykMDQ2xYcMGDA8PC5KMy2QytLS0EMGuubk54eTo5OSkUy+dg4MDQeZu3bpFBZhJSUlERYsJjBkCp2t1XBWNjY3w9/fXuBeZmZnByMiIOK+BgQGsXbsWwcHBuHz5MrWvtrW14bPPPkNycjISEhLYigbj4Ku6Hw0ODhJScDs7O7z99ts4c+YMJXHOyclBX18f1q9fD6lUqrEy19PTg1OnTvFWmCIiIpCZmcn7XvHJLBk4ODhg27ZtOHHiBPHYV65cgYWFhUY5H4OBgQFKvmhqaoo1a9Zo/D+mR1t1b2J6tFWTljU1NcS56enpUT1/qhgaGsKdO3eo3j2hiI6Ohp+fH0vWhFSE+ZQRvb29OH/+PJycnODs7AxHR0dq32ZgbGyM9evX4+TJk+yxmZkZXLp0ibommKrc+Pg4Hjx4gOLiYo2jKNzc3JCUlARfX19BMZqNjQ1F5n7oWCBzC/hOwWd+ws0cqqK9vR0PHz5ETU2NRimlnp4ewsLCMDIywttYrYrh4WGcPXsWnp6eWL16tdb+LgbcQNzExESQc5S1tTUOHjyIU6dOEY6JcrmcarAH5hZ2ExMTvHjxAllZWWoXZn19fSQkJGDJkiVEpTEsLAx37twhBtY+efJEp6zlwMAATp06RS34gYGBxNycmZkZeHh44L333kNeXh4KCwup96m4uBhPnz7F2rVrCdtvT09PIkPM6OwDAgLQ3NxMvY9Lly7VSJ4jIiJQUFBABA45OTnw8/MjNoTp6WmcPXuWOs9NmzZR9+/v70+cR319PWQymdpg0cTEBCtWrEBCQgJKS0tRVFQkWEb2l4aHhwdMTU0xMzOD2dlZ3u8vaybwshCLxZBKpdDT04Oenh77M998JWCuqrFA5F5/bNq0CZ9++ik1UkMIRkZG2HlcwNw15OjoSBA8TRUHe3t7YoQAl8hZW1tj6dKlmJmZQWNjI+rq6vDs2TONLpW6oKWlBZ999hni4uKwfPly3uBZJBLB0dGRILxdXV0ICgqCl5cX3n//fdy5c4eY3wnM7TF3795FbW0tNmzYwO51fGSOC2NjY+zbtw/Xrl2j+hurqqowODiIHTt2qK3MPXnyBBcvXqSq+mKxGKtWrcLixYvVvifc94Dbc+vr64uMjAxcv36dPaZQKHDmzBmtIwsUCgXveW3YsEGQDJKvRzsnJwf79+9nf+dKLAMDA3nVQNPT07h//z6KiorUys5dXV1ha2ursXpdXl6OpKQkljBOTk6ipaUFTU1NaG5uVrt+8qGqqoo4fxsbGzg5ORFfzPuxaNEiREREEOfG199sa2uLGzduoKysTOMe4+3tjaSkJHh4eOiUaLexsSHcMxfI3AIW8BcGVxrp6OhImZ/I5XI8efIEjx490moXb2lpicWLFyMyMhJGRkYoLi4mgm8rKyv4+vqipKSEyhY1NTXhs88+Q3R0NFJSUrS6WfLNmBMKExMT7N+/H+fOnaMcrrhobGzE/fv31d5OJBIhMjISKSkplAELc16+vr7E61BRUSGYzE1MTOCbb76hNtSYmBjExMQQZG56ehpKpRJSqRSpqalslpi7eYyMjODEiRMIDQ3FqlWrYGJiAgMDA7i7uxNjJRoaGuDv709VzUxMTLBkyRKN5y2RSJCcnExUE7u6ulBbW8v2eSiVSly7do0KXhITE3k1/f7+/kS1b2ZmBk1NTVplqwYGBoiNjYWhoSGuXLmi8bZCYWJiAgsLC1haWrLfmZ/NzMzw1VdfaZR46enpYcuWLRo3SaVSqZboqX5/8eKFxizy8uXLKULGR9K4f+czQuro6MCXX35JfX7/5V/+5aWMkxbw/YGZmRn+8R//EdevX6cMj4C5YE1ogKZQKNDR0YGOjg6W3JiYmMDV1ZWVZ7q4uLBJAG3JPBcXF5w9exaNjY2Ckx1c6aY2KJVKFBUVoaamBqtWreJVjXDJnKqEWV9fHxkZGQgKCsLly5epdaCzsxOff/45kpKSkJSUxGuCwgeJRIJ169bBzs6OqmS1tbXhiy++4JUPZmdnU+NkgLn3Ydu2bRoNipRKpVqZpSoWL16MgYEBFBUVsceYkQVvvfWW2sRfYWEh5XYcHR0tuBVBX18fiYmJhIEXYzzi5eWFgYEBalYg9zVSKBQoLS1Fbm6u2gSGpaUlVq5ciaCgIGpWrJOTE7q7u1kizZD2TZs2AZirZPr7+7PkbmpqipX6M5U7oSON+vv70d/fT6z3VlZWbOVu0aJFqK2t5R3bw0CbOZe/vz+SkpLg4uIi6Jy44Jqg/BgcLRfI3AK+U3CDfFWJ5fj4OEpLS1FSUqK1muHp6Ym4uDgsWrSIqI5xm7unpqawZs0aREdH4+bNm9Q8OqVSiZKSEtTU1CAlJQXR0dFqq21CzU/UQU9PD9u3b8eNGzfUzk8CoNG1zNvbG+np6VoDkIiICILMNTU1YXBwUKtTlUwmw+nTp6lgwM/PDxkZGVTDPTBHcJhssqOjI95++20UFRUhJyeHCn6qqqrQ0NCA1atXIzQ0FL6+vhSZq6uro0j8smXLBFVgQkNDkZ+fTyzmOTk5CAgIgFgsRkVFBZU1dXV1xfLly3nvz9TUFK6ursT51NXVadz4h4aGUFJSgsePH+tUaTAzM2PJmSpZY45p6vMsLCyk3jOuLIt5bQMDA9Xej0gkgr6+vsbXempqCvfu3dN4H1FRUS/Vy8RAJpNRsh2xWIyf/OQnC0TuB4iMjAwMDAxQM6pWrVoFFxcXtLe3o62tjf2uKYBUxfj4OJ4+fcomyJiB4S4uLlpHZnDXC3Wws7NDQEAAAgICYGVlhd///vdqq3dWVlZQKpWUNHJ0dBRnz56Ft7c31qxZQwSp3L45PsUGo5LIyclBUVER8blRKBTIy8tDXV0dVbnSZLwlEomwZMkS2NjY4Ny5c4Q8bmRkBIWFhcTte3p6eC3lXVxcsH37do0zOIE5JQmXaKh7j9LS0jA0NIS6ujr2GDOy4I033qAUFN3d3cjNzSWOWVlZIT09XeM5cRETE4PCwkIiTsnJyYGnpyeV5DI2NmYThUqlEvX19bh9+7ZawmFgYIBly5YhNjYWUqkUcrmc6kGLi4tDe3s7kfiorKxEXFwcb9uKoaEhRe5u376tdQavOgwODmJwcFDjLEAhCAkJQWJiomB1lDpwyVx/fz+v98APCQtkbgHfKfjMTzo7O/Ho0SNUVVVpdLiTSqUIDQ1FXFyc2g8/l6xMTk5ienoaDg4O2L9/P2pra5GVlUVlTScnJ3H9+nWUlpZi9erVvGYK2sYSCIFYLMaaNWtgaWlJVZ80wc7ODmlpaYI15IsWLaKC+YqKCrWkBfizuxe3+drBwQFbtmyBWCzmlQCp9rkBc89x6dKlCAgIwNWrV6lemMnJSVy4cAFVVVVYvHgx8bfh4WEqC2llZUXM/NEExu3y22+/ZY/19fWhqqoKrq6uhCwHmNs4t2zZopEYBAQEEGTu6dOnyMzMJN4HpVKJxsZGFBcXE5ItoXj77bfnnZUcGxujyBUz2+3jjz8mkhA3b96Ej4/PvKWJzDWiqeqgVCpRU1PDGsm8DPLy8qjAMCkpidcQYgGvP5g5Vn/6058I0nDlyhW8//778PPzY6XaSqUSfX19aGtrY780zf1ShVKpRHd390sb9Li4uCAgIACBgYFEQJmbm6tRhmlmZoa9e/ciPz8fBQUF1L7HzN1bunQpkpKSoKenR13zIyMjmJiYoBQlenp6SE9PR1BQEC5dukSRBr7nLcQ1cdGiRawxipAxQKrQ1B/HBZ8hhjoyJxaLsWnTJhw5coSILdra2nDx4kVCiSCTyXDhwgXqtd64caPO6yHTo61acWptbUVDQwNF/oODgyGRSLSOExKLxYiJiUFycjLxnra0tFD9ZT4+PvD19UVlZSWR0MjKysIbb7yhNUYwNDR85W7CumLFihXw8PCAvr4+Zmdn52VKx4CbnJiZmcHY2NgrSSh+X7FA5hbwnWF8fJwKAm/duqW198Dc3ByLFy9GVFSUVikk38DLwcFBdjBzUFAQ/Pz8UFBQgIKCAqpy1N3djSNHjiA4OBhpaWmEyxa3MqcrmZudnUVnZydaW1t1GmrNVBaF9OcxkEqlCAkJITJ3FRUVSE5OVrvQ5+bmUhsR4x7GkDW+TU9dI7O1tTX27duH8vJyZGVlUe9zQ0ODoPlhK1as0KkKExgYCEdHRyJzfefOHRgZGVF9EuvXr9c6cD4gIIAg3mNjY2hvb4erqysmJydRXl6OkpISnV3sVHHr1i0cOHBgXpnEu3fvUhWK1atXw9DQEKtWrcK5c+fY4yMjI8jLy0NaWtq8zrO0tJSQ2QJz1QBzc3Pi2qmqqnppMtfR0UFJtRwdHZGUlPRS97uA7zcsLCywatUqQp48OjqKW7duYePGjewxkUgEOzs72NnZITIyEsBcYqmjo4MgePPpw1MHkUgET09PBAYGwt/fn7fKNDk5SUj/gDmCpbr2dHV1QSqVIiUlBWFhYbhx4wZVjZTL5bh//z6qqqqQkZEBX19fyoGwq6tL7fgVV1dXvPvuu8jLy0NBQYFGWd3w8DAmJyehUChY91q+r5mZGQQHB/NKKNWBIShC9y++eECdCQcAYmSBanxRU1MDKysrpKamAphLDHFJbEJCAtzd3QWdFxeRkZEoKCggiO2JEyeo23l6euLSpUsae978/f2xcuVK3l4/ruOmk5MTG3skJSURe1NzczOePXum0WwFmLu2tLV7LF26FMHBwejo6EBnZyc6OzvR09Pzykgg1yXbwMAAZmZmMDU1Zb+Y31W/GxgYUPukubk5pFIpEc/19/cvkLkFLOAvAT5poSYi5+7ujtjYWAQGBgreCKRSKWX/PjQ0RGQ19fT0sHz5ckREROD27dvErBQGNTU1ePr0KRITE7F06VLo6enp3DM3OjrKErfW1lZ0dnYKmofHRXFxMaanpxEaGkpZOGtCREQEQeaGhobQ3NzMW3UsLy+nqjv6+vrYvXs3EbBIJBJq0dQkdWL6+/z8/HDjxg3qtdZmee/k5ITg4GCNt+F7zJSUFMJla3R0lHr/oqKiBA1xtbGxga2tLZHhzs7OhpWVFaqrq7X20Xh5ecHe3h4PHz5Ue5vW1lad+hoZdHR0UOYE4eHhrDNdcHAwHj9+TMh0ioqKEB4eTs3Y0oaenh6iTwSYk3Ju3rwZPT09BJnr6OhAf3+/xuHFmiCTyXDx4kVKXrlhw4YFeeWPAJGRkXjy5AlBcCoqKhAUFKRx1puBgQG8vLxYR0OlUonBwUGW2LW3t6Orq0undVgqlcLX1xcBAQGs4kETHjx4QK2JO3fuxLFjx9jfZ2ZmMDAwABsbG9jY2GDPnj2ora1lx+eoYmhoCCdPnoS/vz8MDAwIcqqJzDHnnpqaisDAQJw6dUpj+8J//dd/aXxe8wXjQi0SiWBsbAwTExOYmJjA1NQUxsbGMDU1JY5x5aMGBgZa939TU1N2ZIHqa5+fnw9ra2vY2tpSBNTe3l6jUkUbmB7tS5cuabzdhQsX1O4RTk5OSE9P1zhWhW98DoO4uDgUFxcTJPb27dss8VcHZmaqKrgJhwcPHsDf3x8xMTHsMblcjp6eHpbcdXZ2oqur65UQvOnpaUxPT2vtd5NKpRTZMzU1pV7j6urqH/S4mgUyt4DvBCMjI5RWnQ8SiQQhISGIi4ub95wQKysrYtNSJyGxtLTEtm3b0NTUhBs3blASHZlMhtzcXJSXlyM9PV1jz5xCoUB3dzdaW1vR1taG1tZWnaUo6tDb24s7d+7gzp078PLyQlhYGAIDAzVmK4G5jcLe3p54XuXl5dQC9+LFC8qkQyQSYevWrbxyNgMDA8FkjoGpqSm2bduGuro6XLt2TbCVd1RUFAYGBqBQKAR/KZVKQZuLhYUF2++hVCqJL+4x7gbDNJOrg4GBAcLDwxETEwM7OztcvnyZ+DsjB1a9Nm/fvo2AgACtPTwMlEolNfxbX1+fzUQDc+/jmjVr8MknnxDz8q5du4Y333xTcCVwdnYWZ8+epTbMDRs2wNzcnA3MVAPN6upqJCcnC7p/LvLy8ohZicBc3+SCvPLHAUZu+cknnxDry5UrV/DBBx8Ich1k7sfa2hrW1tYICwsD8GeFBEPwuJVmVaxatQrR0dGCJWATExNU0iYkJATe3t4wNTUl1r3Ozk422cGoRnx8fJCXl0f1uwHgraRwiY9SqcTw8DB6e3vR19dHfL3KCuV8oFQqMT4+rvNooenpaZw5c4YgfNyf9fX1YW9vj23btuGbb74hXjvu2gv8WZ6pywgLPoSFhSE/P1+jOQ8fkTMzM0NqairCwsI0rsHDw8NUXKLqCM2Q9fPnz7PH+vv7UVZWRrUwqIKbVHVxccGaNWvw1VdfsYkOpVKJCxcu4L333mNjDYlEwjpaMpDL5ejr60NHRwfva/2qIZPJ2BmsmlBaWoq1a9f+xc/nu8ICmVvAdwJtQaOpqSnrlqhtdps2WFlZEX1f2voBPD098e6776KkpAQ5OTlUxmpoaIjq4wLmNlJVSc98ByvrAsY169q1awgMDERYWBi8vb15M5cikQgRERGEC9mTJ0+QkZHBLs69vb04c+YMlanOyMggNg1VGBgYEBuyUBMCYE6y6OnpKXhQsDYXrJeBJqOZ+cLe3h6LFy9GWFgYK0llRkOoIioqCvb29kT1cGJiAnfv3tU664hBTU0NJddNSkqiKsY2NjZYunQp7t+/zx5raWlBZWUlwsPDBT3WzZs3KXIVGxvLynnEYjGCg4OJSnBVVRWWLVums3S0vb2dV16ZmJio0/0s4PWGhYUF0tPTiUTT2NgYJbfUFXp6enB3d4e7uzuqqqo0krny8nJERUUJvu/CwkJCdi4SidiEhpOTE2FK1dnZSbkcGhgYID09HREREbh27ZrW4dFVVVWwtrZGf38/ent70d/f/52PF/lLQNN7BMyRGobcCXFpdHd3x/j4OFH1Uv0/XX52dHQU7LSqp6eHxMREapyQOnClt4aGhlRvdUhICIqKioiewdzcXISGhvImBhUKBZUYCAwMhLOzM5YvX07IH4eGhnDz5k1s2LBB7TlKJBI4ODjAwsICV69e1Vj1jo2NxdjYGEZHRzE2NoaxsbG/aNw0OTkpOPHzumGBzC3gO4G2xc7LywtRUVEvTeQAum9OSIVMLBYjNjYWISEhyMnJQWlpqdZNIS8vT+dzY1zU3Nzc4OrqyjtgUwhkMhk7D8bU1BQhISEIDw+nKhehoaG4ffs2NXMuMjIS4+PjOHHiBEVe4+PjNWb1uBVBbWRuZmYGPT096OrqYr9e1njg+wSxWIygoCAsXrwYbm5uFHl5+vQp9RqFhYXB3Nwc/v7+xMZaUlKCyMhIrVXp2dlZakahlZWV2j61pKQkVFVVEZ+FrKwsQbKx6upqyvXM0dGR6rsLDQ0lyFx/fz86Ozt53dXUQZ175caNGxfklT9CREZGora2lgi6Kyoq2J61l8HExARV2eaiu7sbly9f1jrSA5jrCefOeQsNDWX7oBwdHQkyp2mws729Pd58801UVlbi9u3bGqtZ89mHhEAikbDjQ/T19dmfVb+kUilvUs7T0xPj4+MYGxvjNTR51ZDJZBgeHhY8DoIZrv3XgrZxQurAlVj6+PhQiVuRSIS0tDQcOXKEPTYxMYGCggJCpcGgpaWFup4Yh+OEhAR2CDqD8vJy+Pn5aW1JePbsmVb5souLC1shB+YI8czMDEvuuN9Vf57PXMf29nbBIydeNyyQuQV8J3Bzc9P496qqKtTV1SEhIYHtUZsvhM7Q4YOxsTEyMzPZUQZCDDo0wcDAAK6urnBzc4ObmxtcXFxYMvTixQuNRM7Kygrr169HZWUlnjx5opY0jY2NoaioCEVFRbC3t0d4eDhCQ0NZPbmfnx/hsFheXo6QkBCcOnWKIroBAQFazTE0kbmxsTGCtHV1df2gB3guX74c0dHRGjfoyspK4ndvb2+2D3H16tXE/CqlUonr16/j4MGDGoPH/Px8akxEenq6WtmQnp4eMjIyeCuBmZmZah9ncHCQmLPH3NfWrVupx2KGM6teU1VVVTqRudzcXF555ctaVy/g9YSqu6XqOnP16lW4u7u/VNb95s2blPRww4YNKCgoIGTVNTU1cHBw0Gq8U1BQQFQZRCIRli1bxv7OTdB0dnZqtE8XiUQIDw+Hv78/7t69yzt/T1eIxWK2T0/Vzp+L5ORkwf1kHR0dhBRw/fr1rCENMFcJYuSVDMFT/b29vf0HPxdsy5YtOvd+840kUEdMPD09qcRgUVERYmJiqD57bpXTwcEB1tbWAP4sP/3000+JCvPVq1fh5uam0SeAez2Zm5tjYmKCqBRfvXoVjo6ObL+2SCSCgYEBDAwMNA56B+YIuyq5a25u1tiHDoDtnf0hYoHMLeA7gUgkgkgk0kheZmdnkZubi7KyMqxcuRIhISHzcvfjq8zpOnPE0dERb7zxBgoLC3UaIWBtbc0SNzc3N9ja2qpt3tY0aw6YC6Snp6exfv16ZGRk4NmzZ6isrERDQ4PaDFhPTw9u376N7OxseHl5ITw8HMHBwQSZa2lpwaFDh6jMsLOzMzZv3qy12ZzraHnz5k00NDSgs7NT534IXSASiSAWiyEWi4mfVb9mZ2e1noOnpyd7PTJfzP1zj2kKeJj70kTkxsbGqOyqambS0tISSUlJhOSzra0N5eXlRECkiqGhIWq2k5eXl9ZKxaJFi3grgREREbxjEeRyOc6dO0clETIzM3mNTUQiEUJDQwk5Z3V1NdLS0gQZGLW3t1PPy8nJaUFe+SOHubk5Vq1aRfTjjI2N4ebNm+yQZF1RX19POfcGBgYiIiICbm5u+OKLL4jr/u7du3BwcFBrvjI6OkqRrfDwcI1z4iYnJzEyMqLV1MrQ0BBr1qxBaGgoDh06JOj5McGxnZ0dbGxsYGdnB1tbW1haWkIikWBmZgb/+Z//qfb/8/LyIJVKtX72GIMZVXCTqWKxGGZmZhQRUCqVbBJXG5KSkjA2NoaJiQmWDI6Njb02ktKzZ8+ivLwc8fHx8Pb2FhSLtLa2UmuvpirTypUr8ezZMzbGkslkxCBxYO4155I57txRKysrrFmzBhcvXmSPTU5O4uLFi9i7dy/vuc/OzlL7HONgqmoQMzs7i9OnT+MnP/mJ4N5wBlKplJ27WlVVRRl/8WFwcFArSXxdsUDmFvCdYGJigiJysbGxKC8vp6ztR0ZGcP78eTx69AirVq1infmEgruZMBkdXWxqmY1GNTDlg6OjI3x8fFjZpFCZ6NjYGLWJrVq1CuXl5YQEkXGU0tPTQ3BwMIKDgzE+Po7q6mpUVlZSc/tUz//58+d4/vw5byDNJXIWFhbYuXMn67LGlTqofvFV2rgLuVCYmZlR8iNgrpK7Z88egqhp2wAHBgZw8uRJjWQuIyMDsbGxgs7t3r17WgON8vJyeHh4qP17dXU1cd3r6elRm+fSpUtRUVFBjDbIzs5GQEAAb+UhOzubCGJEIhFWr14tKEDgVgIB4Pr163jrrbeo6+Tu3btob28njoWFhWnss+OSOSaDqi1DuuBeuQBNiIiIwJMnT4h1prKyEkFBQTrLLaenp6lqs6GhITIyMgDM9Zhu2bKFspk/f/483n77bd7gkDvmRiwWE1U5YC5xY2hoSMjFOjs7BTsUCxnQvHHjRvj4+MDExETjeiBEsnbnzh12Zqg6TExMUD1P2ka9AHPk4Nq1a4KeU2ZmJuGoqApmnhhT5WtqatJarWGgGg+ovla6/Dw+Pi64Z7yhoQENDQ2wt7dHfHw8QkNDNRqwcPdUR0dHjYlDW1tbxMTEUIPE4+Pj2apwe3s75WjKJ58MCwvDs2fPiF7v58+f49GjR4iLi6Nu//z5c6oq7e/vDxMTE7S2thIy/YGBAVy6dAnbt2/XOVk/OzuLGzdu8BI5rss2MCf1XyBzC1jAKwR3ARGJRFi1ahWSkpJw9+5d3g9nW1sbvvrqK4SGhiI1NVXwpmdmZkbN4xkaGhJM5nTZaDw9PbFy5UpB96uKx48fE9U1qVSK8PBwGBkZERmx5uZmdHZ2EhIdExMTxMXFIS4uDr29vaisrERlZSUlu2MgxIZ7eHgYv/3tb+fVvycEIpEItra2cHR0hIODA5ycnODg4MCS3wcPHhBGLfr6+lrdOlXR1NSEM2fOaO3P4BJ9dSgsLOQ1SLGzsyNkgIyhjLqhsxUVFcTvgYGB1G2lUikyMjLwzTffsMcmJiZw584dyo2rubmZui5jYmIEjxmwtLREcnIy7ty5wx7r6OhAaWkp0SfZ0NBAVcmsra21mrPY2dlRM/6qqqq0krnc3FxKapWcnLwgr1wAgFcrt7x79y61VqalpRH7g5+fH1auXEmoMqanp3Hq1Cm8/fbbRFVhZGSEUllERERQa41IJIKTkxMxNLqzsxMBAQFaz7murk4QSbl79y6cnZ219mXxkbnVq1dTPYS3b9+GRCLhDeABuh9dJBLxzt5TxfPnz3Hx4kXeMQkWFhZU35umfV9fX591K62vrxdkqsWc57p169SafAmBXC7H0aNHtZrUcNHT04PLly/jzp07iImJweLFi3mTwJpGEqhDcnIyKioqiAR5VlYW9u/fD5FIRBlxMdVbLkQiEdauXYvW1lbifbp9+zY7akcV3KSnm5sb+5wyMjJYszjV2xcWFiIhIUHrc2LQ29uLs2fPUu6ewNy+s3XrVso06Ifc4iF86vACFvAKwbWiNzExgVgshqmpKdavX493331X7UyQqqoq/PGPf0ROTo7aAdWqEIlEVHZQaN/cixcv8OmnnwoicgDw8OFDjY3sfFAoFJShREhICIyMjBASEkJtxNwBtKqws7NDamoqfv7zn2P//v+fvfcOiypN08bvogJZJOes5CRBgqKCJBEEEVMb2rZtu2dndme+nZ39rtnvt+G69tswG3qn+5vtnlbb3CYwK0HBgEoQQXIWEJCM5ExRvz+4zpk65z1VdUq77bB1X1ddwKHq1DlV57zvez/P/dzPfgQEBCgkFqrwbRE5sVgMe3t7BAcHIykpCYcOHcJvf/tb/Nmf/RnS0tKwZs0auLi4MCYwdvZFnb41ZWVlOHPmDEHkuKKefMhcSUkJYS4CAElJSdi3bx8jmjg3N6cwe0eZvshDUVZrxYoVRMaurKyMMQEuLi4Siy1dXV1ERUUpPyEWwsPDiWhlfn4+fY+Oj4/j6tWrjP8LhUKkp6fzIthsh766ujqlcqiuri5OeaU6E70GP31Qckt5UHJLvujs7CRMSpydnTklzREREcS1PDQ0hCtXrjACZI8fP2aMV1paWgrr69hSSz5zx8jICNHLTCgUIi0tjQhQjo2N4cSJE+jq6lK6T3Y2SSKRIDQ0lPh8gSUZvaJ6PTaZMzIyUiipnp+fR05ODs6cOcNJ5Pz8/PDRRx8R21WRQ5lMhsePH+PcuXO8s2QymQyXL18m6nP5QiaT8XIbtbGxURhomJycxMOHD/Ff//VfuHHjBoOkjI+PEyZhfMicvr4+ce21t7ejubmZl8RSHrq6uoRrrFQqxZUrVxjjOZc7pnyAQiQSYfv27cTnkJ+fz9uEpqKiAkePHuUkcgEBATh06BAsLCwI+f9PuRZTQ+Y0+F6gquG2lZUV9u/fj507d3IuuBcWFlBQUIA//OEPqKioUEk81DVBWVhYQG5uLk6fPq0ww8UFmUym0o6XjRcvXhCTYFBQEIClSZrtJFlTU6PymAQCAZydnZGSkoK/+qu/QlpaGlasWPFGNYdvC2dnZ6Snp9NGMra2tioNbdhkjk8txOLiIrKzszk/fwsLC6SnpxOvUSUBevbsGeficNOmTQgKCoKhoSHRpJedfVO03dDQUGkT0/j4eOJzun37Nn2tP3/+nFj8bdiwQW0TCKFQSGTYZmdnkZeXR/cWYhtDxMbG8u77yF4Az87OEjJaCorcKzXySg24EBAQQGRTqqqqOHuwsbGwsED0wRKJREhKSuIcJwUCAbZs2UIQsObmZtq+fXR0lAjMBQYGKhxnuExQlEEqlSIzM5PIpG3atAm+vr748MMPiQXs9PQ0Tp06pfCeA8jMHJVpDAsL4zTAysrKQllZGbFdVb0chZ6eHhw9epQzu6irq4v09HRs3bqVk4wpy8zNz8/j6tWrDKUBX8zOzuL8+fNv1H/v6dOnhJpo2bJltJEIBScnJ/yv//W/FNYZA0vf8fPnz/Hll1/i7NmzePHiBfHdaWtrqzSRoxAaGkoQ4Lt376K7u5tYdygjc8CSWRfbIbmvr4+hWuno6CACqez9Ll++HGlpaYxtMpkMmZmZShvZz83N4dq1a7h+/Toh5xWLxUhNTUVKSgodwGZ/xvKlCz81aMicBt8LVJE5YGny9PDwwJ/92Z8hNjaWMwswPj6O69ev4+jRo0qjYuq0J+jr68PRo0c5M2A6OjpIT09X6sj36tUrzolOEdjPtbKyYhhQBAcHM7JKi4uLRDRZGcRiMXx9fbFnzx785V/+JeLi4ni/loKenh4sLS3h6uoKf39/rFmzBvHx8di2bZtKqV1TUxP++7//G6Wlpbyzfepm5mZmZnDu3DnOz8XNzQ0HDx4k3tvQ0FBpjcLz5885+9rFxcUx6uzY2bXW1lZCGrS4uEgYLPj6+io1AjEyMiLqbLq7u1FeXo6ZmRlG/x9gibAqqiVRBWdnZ/j6+jK2VVZW4ptvvmHIwIClz5NvnSGwdB7sOsKamhrO596/f5+Inm7YsEEjr9SAE5T8iz033Lp1S+Wi/PHjx5zXGnsBLg+xWIxdu3ZBT0+Psf3JkyeoqanBo0ePGGOVUChU6nrJJnNUXbIi5OXlEXWrPj4+dO87IyMjHDx4kDAwWlhYwIULFxQGmhSROWApIxkdHU285tatW4SMkT2vsufdxcVFPHr0CMeOHePMgrm6uuJnP/sZ7fTIDloqk9tTWUj2OAssfUbsWkqq9ZA8hoeHkZGRoZYSpLW1Fbm5uYxtYrEYu3fvJhwr29vbIRaLERwcjJ///Od47733lErOX7x4gbNnzzJ6KwLcLQkUQSwWEy0JBgcHGTJ+YOm7YgcquLBx40ZCVllYWEjPE2xlipWVFWcwY8WKFYRD6uTkpMLPn1qXcV3DFhYWOHz4MDEXazJzGmjwHYNN5pRp+kUiESIiIvDnf/7nCA4O5oya9vT04MSJE8jIyODMuvHJzMlkMhQWFipM37u4uNATjbLoEbAkGVD1HGBpApJ3lgSWsnLy56inp0cMUmVlZbwkpmwYGBjAzc2NV5bDzs4Of/7nf47/7//7//Cb3/wGn3zyCfbu3YvU1FTExMQgLCwMPj4+CAkJUWlKMzc3h6ysLJw4cYKXlIVNspRNrkNDQzh27BjRUBVY6pOzc+dOaGtr844aA0tEhh21B5YmsvDwcMY2Dw8PYoHBbj/Q3t5OXA98GnSHh4cTE1J+fj6ys7OJxWp8fDzvCZ4LcXFxxHmwP1NDQ0OkpKSoneFlE0WuXntdXV0oKipibLOxsdHIKzVQimXLliEhIYGxTZXcsr+/nzCzsra2Ju5tLhgZGWHHjh3EvXb58mUiMBcUFKRUFmhiYkJk3xVJLRsbG4kAo4mJCZFJ1NPTw/79+wkZ3uLiIq5du0ZImAHlZA5Yco/kak1w/fp1xlinjMwNDw/j1KlTuHfvHqGcoOqE9+zZwwjssoNiy5Yt4xx7Ojs7ceTIEc7M5saNG5GWlkbsy8zMDFu2bCECs+3t7cjKyuIVeBwaGkJGRgbx3NTUVFhZWRFEraenh85aCQQCrFy5Evv378fHH3+MgIAA3uqDuro6ZGVlobi4GI2NjRgYGFDabNvX15cIHHBlz/iM6yKRCGlpacSxXrt2DdPT0wSZU2ZItG7dOuI67ezsZJQ1yGQylJeX49ixY5xkLCgoSKEREXvb5OTkG/Wn+zFAQ+Y0+F7Ajj7yMSPR19fH5s2b8cknn8DV1ZXzOXV1dfjv//5v5OXlMRaLqsjc6OgoTp8+jbt37xLEQSgUIj4+Hnv37sWyZcuwuLhIHD872zU7O0tE67hQXl7OmAgkEgmx8AVASBtmZmYURlmVgepbxify2NXVhQsXLvCKZjk4OBDbuIq4Ozs78dVXX+Hhw4dKj4FvZq61tRXHjh0jCpuFQiFNOqlFF18yV1NTQ9SkAEvF5FzW3GKxmHAAq6ysZHyv7O/K2tqal0kJlwRyenqaIIseHh6E3FMRFhcXMT09jZGREfT29uLly5dobGxEa2ur0vtQIBAgLS2NyErwgaenJ2PxK5VKGfUa8/PzhHulUChESkrKWxFUDf5nwN/fn5BbKrK5X1xcxI0bNxiEgpJQ8r3WHB0dabdLReBj5a+lpUVkQ7gIycjICMMIC1BetyqRSLBr1y5G2xMKd+/exd27dxn3mioyByyNf1xZxmvXrtGZdi4yJ5PJUFFRgT/+8Y+c6hlra2scPnwYq1evJsgEOzPHJbF8/vw5Tp06RbgWSyQS7N69m/4O2HOEmZkZnWllj3vl5eUq1S8zMzO4cOEC8dmtX7+eng/s7e0Zc5lMJuPsVWtlZYWUlBT86le/wrp163hJ5UtLS5Gbm4sLFy7giy++wD//8z/j008/xcmTJ3H9+nU8evQINTU16O7uxszMjMp+saqagMvD0tKSyPaNjY3h+PHjBGlWJt2k5hT291pSUoLa2lrMzs7iypUruHnzJlFqIZFIsG3bNiQlJSks2zA2NiauqZ+qCYrGzVKD7wV8ZJaKYGFhgT179qClpQW5ubnEzSmVSvHkyRNUVFQgOjoaAQEBRJp/bGwMUqkUQqEQNTU1uH37NmfExtLSEmlpaYyF9+TkJBGJ8/X1RV9fH2PRXltbi4CAAIWFylzGJ76+vpyTs5mZGdzc3BhZPKoJqDpZkpqaGqLxqDIMDAzg6NGjiImJQWhoqML3cnR0ZER8hUIhPv74Y9y7d4+Q4kilUjx48AC1tbXYsmULZ1aPT81caWkpsrOzie9CX18fO3fuJGoKVEmAgKUGqleuXCH2uXbtWqxfv554PoWAgABGzcTQ0BBevXoFOzs7zM3NEYXmXIssRXBxcYG3t7dSEx5LS0s8ffoUMzMzmJ2dpX/K/079fJOMLrC0EGloaMDc3BwcHR3VchfV09PDihUrGNdvdXU1AgICACzJK9n38fr163m7cmrwPxvy7pby4zjlbikfgCgtLSWkihEREbwkZvIICgpCXV0dIUOmEBwczGtes7KyQmdnJ/03OzNH9Xdkz0/x8fFK61apgJaenh6R0SssLMTk5CSSk5MhFAqJfSu6t6OiorC4uIgnT57Q22QyGa5cuQKBQECMsdra2rh06RInqRYIBPS4qigjxZWZo7C4uIg7d+5w1t2ZmJhg165dtDPj2NgYkbmisjaGhobYtWsXTpw4wZhncnNzYWZmxhk4XlxcxJUrV4hAp6enJ2OeEIlEcHBwYFwj7e3tCh1LDQwMEBUVhbVr16KqqopomaEK4+PjGB8f5ySMqgiiubm5Wv13w8LC0NzczDg39udhbGyscgzX1dXFjh07cPz4cUbQNjMzU+FrrK2tkZ6erlQSDSzdA8bGxoxauaGhIc4+qj92aMicBt8L3obMAX+SKLi4uODZs2d48OABMSFNTk7i5s2bePr0KedCvLe3FyUlJZwae2Bpgo+KiiIkf1xtFfT19REbG4vGxkbGcWRlZeFnP/sZZ+SoqamJ2BdlfMKFsLAwxmL49evXaGpq4t1XaXp6WmW2MDw8HKWlpYxJTSqVIjc3Fy0tLUhNTeWUxLKJk1QqxfDwMFJSUuDr64tbt24RmbGBgQF8/fXXWL16NaKjoxkLCGWZOalUipycHM4m65aWlti9ezdnBFdVZq6xsRGZmZkEkQsPD0d0dLTSSc7e3h7GxsaM96isrISdnR3q6+uJnjvsWg1V2Lhxo1Iy9/DhQ7X296YoKSlBSUkJtLS0YGtrCxcXF7i4uMDW1lalRMjX15dx/ba1tWFiYgLDw8MaeaUGbw1DQ0MkJCQwMliTk5PIzs7Gtm3bACwFdNjmGCYmJkoDNRQWFhbQ3d2Nzs5OdHV1obOzU2kPy46ODnR2dqo0qlBlgpKfn0+4UXp5efGqj6Va/hgYGDDaKgBL49PU1BS2b99OSJ4VNXAWCATYuHEjpFIpgyBS5hVsXLhwgXM/y5cvx9atWzkVHfJgZ+YoMjc9PY3MzEzOwKSLiwvS09MZ5IVNMiQSCWMes7GxQWpqKuMcZDIZMjIyOCV8+fn5hCmJpaUlUlNTiXnCycmJQXgUkX95UP1HHz58yKtcgw9Uten513/9V2hpaUFXV5f3Y/369UrPhyKtVGBR2UMsFvNSDIWEhCAuLk5pvbs8TE1NGWTup1o3pyFzGrxzcMkUVfXBUQSq542fnx8ePnyI0tJSQo/f19eHS5cuEa89duwY5z6NjIyQmpqq0GmQi4jKEzr5YuXh4WEUFBQQkgSAND6xtbVVGml1cnKCpaUlw6K4uLiYN5nLz89XuvgAlgqrAwMDcfnyZSJC/OLFC3z55ZdISUmBm5sb43+6urqwsLBg1Bp2dHTAwcGBrjV88OABioqKCLL09OlTNDY2YvPmzbRUShGZm56eRkZGBucE4uHhga1bt3K2YpDJZErJXEtLCzIyMohrZ/Xq1YiNjVUZrRQIBPD398eDBw/obTU1NYiPjyckkStWrOB1vUulUrS1taG2tlZls/J3jcXFRXR2dqKzsxMPHz6ERCKBo6MjTe7Mzc2Jz4xqdk8RW0p+xc7cUhkFjbxSA3Xh5+eHuro6RtCgpqYGXl5e8PDwwK1bt4gMTXJyMmewbXx8nCZtnZ2d6OnpUcsYo7u7G8ePH4ezszMiIyPh5OTEOY6wx/zh4WHMzMxAR0cHTU1NRKDD2NgYycnJaiky1qxZA319fdy4cYMx/jY3N+P06dPEmKmIzAFLY11cXJzaRlwUAgICkJCQwCuzzyWz7O/vx4ULFzjr3in3TfbYwV7Am5mZEZ+ft7c3+vv7UVBQQG+jHC4PHTpEk8Oqqiqi7lBPTw+7du3inHucnZ0Zbo/9/f2YnJzkLEOgQLkIKyNyxsbGMDAwwOvXr1XO63yxuLhIN1z/NlBUVERcv2+LxsZGDA0NwdTUFGZmZjAzM4OpqanCekpTU1MG8f6pOlpqyJwG7xxTU1OczoJvA11dXSQkJCA4OBh37txRasOsDL6+vkhMTFQ6mSnLKq5atQoVFRUM2UxhYSH8/PwYzTiHh4eJJqDKsnLA0iQaHh7OiDy3t7cTTcS50NnZSZBHNzc3jI2NMUjb6OgoXF1d8eGHH+LevXvEQDw1NYXz588jJCQEsbGxjEWQo6MjQeYoiMVixMbGwsfHBzdu3CCI4ujoKM6dOwcfHx8kJCRwGqAMDg7i/PnznINxZGQkoqKiFC5wxsfHiYUYReZaW1tx8eJF4v9BQUFISEjgvWhik7mZmRmUlpYS0WNlEsvFxUW0t7ejtrYW9fX1KqOpbwuBQABtbW36wWX8wwdzc3Nobm6m7zt9fX2a2Dk7O8PIyIiONsuTWy4L8Q0bNnA2rtVAA1Wg3C3Zcsvbt29jdHSUMPQJDAyEk5MTFhcX0d/fTxO3zs5OpY7H6qCtrQ1tbW2ws7NDZGQkVq5cyRhTzM3NIRQKGeNPb28vjI2NOevktm/frnR+UoSAgADo6ekhIyODobzg6kGnav8CgQAJCQmQSqW8nZv19PSQnJzMqyk6BbbMsre3Fzk5OYRUXCgUIikpiZZts8FF5riwYcMGDA4OMpppv379GhkZGdizZw96enoIYywtLS3s2LFDYfsJGxsbRhALWJq32U6X8nj06BGxPmDDwsICu3btArBEOoeHhzE8PIzXr18zfo6Ojn5rPWN/CBgbG8PY2Bgxr4rFYprgyRM9tgGRJjOngQbfEh4/fkxsy8/Ph0wmw+LiIqRSKaRSKf071zZl/1enxxsFHR0dbN68mZf8jR0tlCdz1GLiq6++oo9jcXERt27dwoEDB+hJnF0rp62tzeu9fXx8kJeXx8hsFhcXY+vWrQpfI5VKCe29WCxGYmIisrOzCTIHLGn94+Li4OrqimvXrhGZ1NLSUrx8+RJpaWm0bbyDgwOjmWxHRwcWFxcZUVJra2t89NFHKCoqwoMHD4hauJqaGrx48YIgPHNzczh27BghB6JMMrhMY+TBjuKKRCIYGBjg5cuXOH/+PHEcAQEB2Lx5s1rR7+XLl8PJyYnR+PTOnTuM52hraxOZ1MXFRXR0dNAE7k2iopaWltDR0YG2tjb9U/53RT8lEgl9jk1NTTh//rzC91i3bh1evnyJzs5OlffY5OQkqquraQmzqakpXFxcVEpjbG1tERERoebZa6DBn6BIbsklMReLxTh9+jRevXr1xrWkfNHV1YXz58/DysoKkZGRtHugUCiEhYUFQ17Z1dWFe/fuEcGcuLg43v0dueDm5ob9+/fj3LlzSl39tLW1MT8/j4mJCbpdAlWPJb9NnR6sXl5eWFhYQG9vL0xNTVX2Gp2bmyOOkSsTaGBggJ07dyp1VOZL5gQCAVJSUvD69WvGvNjW1obMzEx0dXURQb/ExESi9Yo8hEIhHB0dGeSsra1NIZlra2tjBAWBpXP08/NjZAQpF0tzc3Noa2vDysqKs+5TKpViZGQE5eXlnE6mPxXMz8+jt7dXoRsshb6+PrS2tvI2DPuxQEPmNHjn4CpYfhNnxm8LVHNtZc1I5aGq3s/CwgLh4eGMIvGOjg5UVFRg1apVdFNQefj7+6uc3IA/NRGXl23U1NRg48aNCi2wi4uLiYzLhg0bYGRkRJwzOxJK9f25ceMG0Yi3v78fR48eRWxsLFavXk1MaLOzs+jv7ycmGC0tLaxZswaenp64desWIZmcnp7mvEbYRM7AwAC7du3iVczMJbHs6urCN998QxA5Pz8/tWVMFPz9/Rlkjg0vLy+IxWLIZDJ0dXWhpqYGdXV1SntL8cG6devUciNjY2ZmRmWxvYeHB6KiojA3N4eOjg60traitbWVIftVhKGhIZUuYhr3Sg2+LXDJLbnANc6ogqWlJezs7GBvbw97e3s8evSIIRV2cXHBihUrUFhYyHlf9/b2IiMjA2ZmZli7di18fX1hZWXFIHNcGWtPT0+EhISofbzykMlkMDc3R3JyMjIyMhQ+79atW2qbb6jCs2fPGHXORkZGRBbFzMwMBgYGEAgEvIiijY0Ndu7cqbT9A8CfzAF/csE8evQo4/vjkrqvXr1apaIGWCqRkCdziuaI8fFxXL58mZFJEwgE2LZtG2xsbOgeoxQKCwuRkpKi9L2FQiFt768IIpEIf/Znf4bp6WnOx8zMDLFtamrqjQLnYrGYoQahgooTExOEMdF3haKiIg2Z00CDt8EPscfH1q1b1ZJ58jFvWb9+PWpraxlSnbt378LNzQ3t7e1E9oXPhEAhODgYjx49oknI4uIiSktLOevyRkZGiCifpaUl3epAFZkDluQxO3fuRFlZGXJzcwlzlJycHLS0tCAlJYUwAeno6FDoEmdiYoJ9+/ahoqICd+7cUevasLa2xq5du1RO4hTYZG5qagrffPMNUT/j7e39VoTC09MTWVlZCnv+mJmZITc3F3V1dbyj2ra2tjAxMVFo1AMA2dnZcHFxeSP5FbDk3Kaq0P7Vq1ewtraGRCLBihUraJfWyclJtLW10eSO6xriA428UoNvC5RC4tNPP32r/UgkEtjb29Pkzc7Ojqj1Ygej3NzcEBoaipCQEFRUVODx48ec98Tg4CCuXbuGBw8eqKwfW758ObZs2aIwwETVOlEZM/nsGfvB5Qz8fWB0dJRT+iqRSGBmZqZyHPHz81NqS09hZmaGINXKyBywZLSyc+dOfP311wqf4+zsjPj4eKX7kX+uPIaGhjA2Nka4c16+fJlYG0RFRdH1+yEhIYz+iFVVVYiKilI6D05OTqrMxC4sLGBmZobouacMMpkMc3NzOHLkiMI6NG1tbRw8eJBu9q6trc05t8pkMpw5c4b3e7u7u0MikWBwcBBDQ0NqZ9W/6yz89wENmdPgneJNF5vfJc6dO4cDBw7wtlrnQ+YoGeO5c+fobdPT07h79y6xiHdwcFDLgp1qIi5fq/Ds2TNERkYyCrCpnnLsyTspKYkeUPmQOWBpcRQcHAxHR0dcvnyZyMa0tLTgj3/8I/G6jo4OrF69WuG5CAQCrFq1Cq6urjh16hTv4uTIyEhemUwK7PoXLikjZaDyNpkhbW1toi5MHvLNUJXB2toa3t7e8PLygrGxsUoX0omJCeTn52Pz5s1qH3NLSwthQuLq6gpdXV26fxSwROa4HPT09fXh4+MDHx8f2miGInZtbW28SbpGXqnBtwlDQ0PExsbyvueApYw9lXGzt7eHubm50vGAqkmSB7XwFolECA4OxqpVq1BdXY3Hjx9zZqf51OatXr0aL168UEjQvi3Dih8C5ubm0N3drfQ5sbGxCA8P56WeYH/mAoFAYY9RYGne7OnpUTiGU6AMqlxcXFQeh5WVFXR0dBhjYVtbG/z9/em/79+/T7QUWLlyJaNX4erVq1FYWEhLPRcXF1FSUqKwh9zCwgIuXrxIBDM9PT3R09PDuPZaWlrUkvAKBAIUFRUpnbNnZ2chEAgU1hNSqK6uJoIiERERCAsLw9mzZwllUVtbG3bv3g0nJyfIZDKMj49jaGgIg4ODNMEbHBxUuJ7RkDkNNHgH8Pb2hqWlJbS0tCAUCiEUCjl/57utpKREqVa8t7cXly5dwnvvvafSXh0gyZyiqNjKlSvh5eXFKKbmkpOqk5WjEBYWxiBzVBNxeRlOfX09YQQTHBzMqC3gInPKes2Ym5vj0KFDyM/PJ3oXcS0oXr58ybm/qakp2imuq6sLr169UpjN4gLlTmpsbAxbW1vY2NjQbqBcJI/L+UweK1euRHp6Oq/vH/hTVHJychJTU1OYmpqifx8YGOB9HvKwtLSkCZypqSm9fXFxkUGqgCUy29PTw5DuPHv2DH5+fiqt0OUxOzvLcF8FliLjycnJqK+vZ7yvqgUWsDTBm5iYwMTEBMHBwbShC5+oq0ZeqcG3DT6BhNDQUDg5OcHOzk5tV2W2XE5PT48IzAmFQgQEBMDPzw/19fV49OgRL2myPNi1t+8SQqEQy5Ytg6GhIQwMDBg/5X9/+vQpQwViY2ODmJgY3gtsdVBbWwuZTAZPT0+Vvca4ep9x1e5OTEygqqoKlZWVvIygOjo6cPbsWZiamiI4OBgBAQEKg9VaWlpwcnJiSDXb29tpMtfU1ER4CVCu2vJzp4GBAQICAjgDuez3lslkuHHjBsOMDVj6XrZu3Yq7d+8yatxbWlo4m8IrQltbG9ESR09PD1NTU4xtJSUlSEpKUrif6elp4vpetmwZ1q9fD4lEggMHDuDcuXMMo565uTmcPXsW27dvh7u7O5YtW4Zly5YRGdC5uTm8fv0aX331FWO7skbmP1ZoyJwG7xzu7u5E/ZU8Xrx4gZCQEKVFxXwxMjLCGLCApQFHJBIxMmStra24du0a0tLSlEbZFhYWiKJ0ZRLNhIQEvHjxgqj3oqCrq/tGtU5mZmZYuXIlg6zJNxGfnZ1FTk4O4zUGBgaEFJMdMaPaRig7J5FIhPj4eKxYsYLTHEUeExMTeP36NaRSKcPmW1X9FF9QDl4U6RAIBLCwsKDJna2tLSwsLJSSOVdXV6Snp2NmZoaTnMk/5LepY1OuCGZmZvD29oaPj49C6U97ezvxGfv6+iIwMBBffPEFgwTfvHkTH3/8MW9SeufOHSJTHBcXByMjI6IWcWBgAHNzc5z221xYWFjAs2fPGFbfivCzn/2M1z410EAdREdHM2RpXGhvb4ePj88btcdhZxMUtR8Alhb0VLCmubkZBQUF76xGiAs6OjowMDBQ6e5H9W1Tdd+zlS06OjpwdnYmFtjz8/OcWZShoSHeAb3u7m50d3cjLy8PVlZW8PT0hJeXF+cYqqxeTiqVoqmpCRUVFWhubn4j18ehoSHk5ubi3r178PX1RUhICGdpAZvMtbW1QSaTYXR0FFevXmU8V0tLC+np6Yxm9xQiIiJQXl5OH+vc3ByePXvGyOABS71H2dL8ZcuWYdeuXRCLxVi5ciVjbdTZ2Um3xFCFyclJXLlyhbFNIBBg586daG5uZhDTyspKREdHc54LANy7d48IBG/atIm+3nR1dbFv3z5cvHiR4WAplUpx8eJFpKamKnSIlkgksLKygq2tLeNee9NWWD9kaMicBu8cqmpzZmZmcObMGaSlpb2VqYNMJkN2djYxQezatQt6eno4fvw4I4pUU1MDfX19xMfHK7W4Z0MZ8TE0NER0dDSys7M5/x8QEMC7+SUb4eHhRP8Uqon4vXv3iGONj48nBmp9fX3CFntkZIRXDaGrqys++eQT3LhxQ6nRwB/+8Ae+p/TWkMlk6OvrQ19fH2EyowgvX77Ev/zLv3zHR/YnmJiY0ASOqx8bG+wJ2crKiq4t27BhA0NGNjAwgCdPnmDdunUqj6O1tZUoind2dkZgYCD9PlpaWnSROyU/UhVkkclkqKmpwb1793hJyIyNjdWSGWuggTrYuXMnLl68qPD/fX19+PrrrxEUFISYmBjepQAymYzIzCnqTSoPgUAANzc3GBoa4uzZs0Qm420gEAhgYGBAPKgMGvW7vr4+xGIxFhYW8O///u9KZWfNzc04ceIEdu/erbQ2i032FAUwxWIxp/NiQ0OD0u9JESgHw/v378Pc3BxeXl7w8vKix1YuMtfb24uKigpUV1d/a5///Pw8ysvLUV5eDnt7e4SEhMDLy4sOrLFJ7ejoKIaGhnDt2jUigxwXF6fQndPExASenp4MxU9JSQnCwsLotURVVRWRNZNIJHjvvffoud3JyYkx98tkMrx48UJpywTqeVevXiUCjNHR0XBwcICxsTEKCwvpeWNhYQFlZWWcWb9Xr14xTHGApZpTdvsKypTmypUrqK+vJ45lZmZGaTkH32vzxwwNmdPgnYNNMlJSUlBWVsZIo0ulUmRkZCAhIQGhoaFv9D4NDQ0EyQgKCqJlaHv27MHJkycZZK+kpASGhoZYs2YNr2OnnJmUITg4GM+ePeOU3xUVFWFkZAQWFhawtLSElZUVli9fzqsWQFETcUryIg9XV1fOQVogEMDIyIihex8dHeUt1dPX18euXbvw7Nkz3Llz562L601MTOh6FbabWlhYGGQyGV69eoXe3t5vrZD/XRoCHD58GFZWVrydMhcWFhiTFwBGG4awsDBUV1cz7JgLCgrg7e3NkGqyMTc3R8grxWIxw2RBLBbD0tKS4bL36tUrpWSura0Nd+/eZbxGHgKBgIh+r1q1SuH+NNDgbcHXta6srAwNDQ2Ij4+Hj4+Pynv09evXxHzAXrCzIZPJ0NbWhidPnhB9slTB2NiYljbq6+sTBM3AwAB6enpqufC+fPmSIHIJCQm4e/cu0ffu2LFjeO+99xQaWrEXzHzrkhYWFpCXl/dGzqJsDAwM4OHDh3j48CFMTU3h6elJuFAWFhbysug3MjJCQEAAWlpaGFmd4OBgWFhYoLS0VKGknlKg5ObmIjAwEEFBQTA3NydkiEeOHCGCzV5eXkqJCbCUnZMnc5RENDAwEC9fviR64QkEAqSnp9NthICl8d3JyYlhQNPS0qKSzD1+/JgwrXF1daXXTIaGhvD29mYEIUtLSxEREcFQjFAtm+QhFouxadMmzvcViURIT0/HzZs3iRrv7OxszMzMIDIykvP6f9Nr88cEDZnT4J2CkvHJw8LCAvv378fly5cJ+WVOTg7GxsYQExOj1iQ1OztLZMP09fURExND/21jY4MdO3bg/PnzDIvdvLw8GBgYMIqTKXCZn6g6rqGhIaV1VPX19YwFu0Qiocmd/INNGhU1ET969CjjeSKRSGnPNC4ypw4EAgFCQkLg5OSEL774gvfrRCIRbG1tGU5x+vr69P/z8vIYEUt3d3c68i2VStHf34/u7m68evUK3d3d6O/v/16ao4pEIujp6UFPTw/6+vrERCeP0dFRtYrMm5qaiCiifD9CLS0tJCcn49ixY/S5U30F9+/fr/A7z8vLI7JmsbGxhOzWxsaGIHNc6OvrQ15entJGt56enoiKisKRI0cYBPpt+mZpoIEqUO6I8hkaf39/9Pb2ErVrlHyssrISiYmJSuux2BJLAwMDhQGUxcVFNDQ04MmTJ7xqT7lgbGyMrVu3fqsSMXaw09bWFqGhobC2tsaFCxcYJQXj4+M4ceIEtm/fTjvZyuNNFsyvX79GZmYmZ/DH2NgYkZGRBDGhanEbGhqUZtWGhoY4e9oqg0gkgpeXFwICAmjJLPt7NjU1RUhICIKDg/Hy5UuUlpaivr6ec+6ZnJzEo0eP8PjxY6K/KACCyJmYmPBqi2Nra0v0NC0sLISjoyMuXrxIlAAkJCRg5cqVxH5WrlxJkDllNfMdHR2MtkjA0nW/detWxmuoICOF8fFx1NXVMQKRpaWlRE+49evXKzVL0dLSwpYtW6Cjo0PU7N+/fx/T09OIi4sjjp+9dtJk5jTQ4C0xNTVFDHqGhoYQi8XYsWMHsrKyGMW9wNIgNT4+jpSUFN61QFwyw4SEBEJCs2LFCqSkpBCa9Rs3bkBfX5+YtPg4WVKQyWR4+vQp8vLyeB0zhbm5OXR1dTEylcBSfZulpSWD6Hl5eRFNxNlYt26dUvcuvo6WqqCq9oJCQkIC7O3tYWlpqfT7lEgkDDInP/EJhUJYW1vD2tqaNpCZm5tDb28vXr16hZaWFrUj3xR0dHQY5ExXVxf6+vr03/L/09PTg1gspieP/v5+fPnllwr3fefOHaxYsYK3tJZtfOLk5ERInWxsbBAaGsqY3Nrb21FZWYmAgABin+3t7UQdqZOTE6dTpa2tLeN+ZJO5sbEx3L9/n4iUysPe3h6xsbGwt7dHf38/kQnVkDkNvmtYW1szxictLS189NFHKC4uxsOHD4lF9YsXL/Dll18iMjISa9as4Ryn2BJLZ2dnYhG5sLCAyspKFBYW8nbqVYTW1lZ89dVX2LZtGy85pyrIZDKCzLm5uQFYclg+dOgQvvnmG8Zxz83N4dy5c0hMTCTGC3XJXE1NDW7evMn5PG9vbyQlJUFHRwdlZWWMcWdkZAR79uzB5s2b0dHRgbq6OtTX179Vr04HBwf4+/vD29ubWPgrMjwTCARwcnKCk5MTxsfHUVZWhrKyMs7jkMlknH3q5CESibB9+3beMt81a9YwrsGhoSHOkobVq1crzPSx1zcTExPo7e3lHJOnpqYU9sCTD8ICS3OSg4MDOjo66G3FxcV0xnt8fBz37t1jvMbc3JxumaQMAoEAcXFx0NXVJYhlcXExZmZmkJyczDDU0mTmNNDgWwZ7YBQIBPRAoKWlhc2bN2PZsmXETVpdXY3JyUns2LFDpazx1atXhMxwxYoVCuUDfn5+mJiYYNQeLS4u4tKlS3j//fcZRhBsswhFZG5sbAzXrl0jonpvg5GREYyMjDCylyKRSKlM0NzcXKXl+7dB5p4/f07I9hSht7cXgYGBKok525VSVXG8RCKBg4MDBAIBEbVTBk9PT6xfv54maXwDBlyQbxTPheHhYZSUlCiU8cpjZmaGWGzJRzblERUVhfr6esZ3d+fOHaxcuZIx0c7PzxORbrFYrDAazDZBGR0dxcTEBEQiER4/foySkhKF15+pqSliYmLg7u5O75udlVi2bBmxENBAg28b1tbWjExBT08PhEIh1qxZA29vb2RnZxP32sLCAu7fv4/q6mokJSUx5MWUXFIe8gRrZmYGz549Q0lJiVKSoa+vr1ZbgYmJCZw+fRrr169HZGTkWznADg4OEtl5iswBS1miDz/8EBcvXmQsymUyGW7fvo3h4WGGYobvgnl+fh45OTmcTaxFIhESEhIQGBhI7zcoKIhB5lpaWjA8PAxjY2OaTG3atAmdnZ00sePTw3PZsmXw9/eHv7+/wowqZXsvD64539DQEBs2bEBkZCQaGhpQWlpKtBlQhYWFBRQXF0MsFkMikTAeXNtMTU1haGio1INg5cqVSnvhmZqaEr1huVoUyGQyXLt2jfhc169frzCwEBoayrhuuru70dXVBXt7e+Tm5hLXx+bNm3nPvQKBAOvWrYOOjg6hwKqoqMDs7CzS0tLooKmGzGmgwbcM9sCjr6/PmJCom9TQ0BA3b95kRIFaW1tx4sQJ7NmzRyGJ4tJhi0QiJCYmKpUuREREYHx8nEEC5ufnce7cORw8eJAe7NkTM9dxVFdXIysrS60m2DY2NhgeHiacMlVBVb0XnwHybclcUVGRWtbZFRUV6Onpwfbt25XWdbHJnKoBWCaToaSkBHfv3mXIZlWhvr4eOjo6SExMfCsiNzIyQmTS1q1bh7a2NoY9dEFBAfz9/VXKperq6hhyGaFQqNAQSCKRYPPmzURfw9zcXKSlpdHb8vPzCWfP6OhohXIyMzMzSCQSxmd/5coV9Pb2KrxW9fX1sWHDBgQGBhKLTbacSp0mtRpo8KZgL06pDLFIJMLy5cuxa9cuNDQ0IDs7m5ijBgcHcfLkSQQEBCA2NhZ6enoYGBggJH7Ozs70HFJWVqZUymVsbIzw8HDY2Njg2LFjSo+bagBOQSaT4cGDB+jo6Hgr2SW7pGHZsmWMmipgyfl53759uH79OjG2FRYWYmRkBKmpqTTZkIdUKoVUKmWMqQMDA8jMzOS0/jczMyPquoAlWXlubi7j8ywvL2c4MwsEAjg4OMDBwQHx8fF49eoVCgsLiXpjeRw+fFhlIGlmZoaYY5WpcYRCIby9veHt7Y2+vj48e/YMlZWVvF06uVoXvSksLS2xbds2lYR/xYoVKlsUFBUVEW2OnJ2dlbYy8PDwgJGREWM9UVxcjNnZWdTW1jKeGxAQ8Ebu5atXr4aOjg6uXbvGWCvW19fj/Pnz2LlzJ92wXB4/RTKnaeyjwTsFHzIELJki7N69m1jQU85jiiR9JSUlnDpsZTJDCnFxcUTmY2pqCmfPnqWPW1lmbnp6GpmZmbhy5YpaRA5Yqhv8zW9+g7/8y7/Enj17EBMTA19fX1hYWLxV9JU9MXLhTcmcTCbDvXv33qgHUl9fH44cOcIo4maDvThQNiHOzMwgIyMDubm5BJHjk/l5/vw5Tp06pdJpVRmKiooY7y0SiRAaGkpERufm5pCfn69yf+zF08qVK5VKcFauXElkn6urq+maiI6ODsJkwN7eXqnBkJaWFkG42traOImcWCzGhg0b8Bd/8RcIDg7mvG7ZZE4jsdTgXYB9nS0uLjIIhUAggKenJ37+858jNDSUM/BXUVGB//7v/0ZFRQWn4uLx48f47LPPUFhYqJDIWVlZYdu2bfjFL36BkJAQwsmPDYlEgo8//hiurq7E/yjZ5ZuqP9iLczc3N87zFolESEtL41y419XV4fTp05icnORsXUCN2TKZDBUVFTh69CgnkQsICMBHH33EOV+JxWKifv358+cKW8MIBALY2dmplLKfOXNGZVaUaz7gS54tLS2xefNm/PrXv+asMfyuYW5uzivry66l6+zsZIzvXV1dxHylr6+PrVu3Kl2baGlpEXNLXV0dzp8/z9imq6ursOk5H/j5+WHnzp1EILa1tRVnzpzB9PT0/wg3Sw2Z0+CdQp2as5UrV+LAgQPEYnx0dBTHjx8nmmGOjIwQ8kwLCwuEh4fzOjaBQICUlBTC/WxkZATffPMNZmdnFR4/VWPBjjgBSxFPVc04Kyoq0NDQAENDQ6xYsQJr1qxBWloafvazn+G3v/0tPv74Y6SmpiI8PByurq68J5SjR4+qbFDLJnMzMzMqBzuq7QNXDyf2sdnY2GDbtm2cUgeKgHFNzHwzc729vTh69ChnFNbJyQmffPIJZ/E5G11dXTh69Ogb9X6ampoiWiEEBgZCT08Ptra2RO1aRUWFUiOEsbExYpGmSGIpD6660Fu3bmFqaoqQV4pEIqSkpBALuLm5OXR0dKC4uBjXrl0jaoPYEAgECA4Oxl/8xV/QjV65sLi4SARaNGROg3cBbW1tQgXAdf9pa2sjISEBhw4dUlg3dP36daKHJ7CULVJEMJydnbF3714cPnwYPj4+0NLSwvj4OKqqqhjPY79nb28v9PT0sGfPHkRHRxP36sTEBM6cOYOHDx+qpUaYmpoi5k95iSUbAoEA0dHR2LJlC7GA7+rqwtdff80pbZydncXc3ByuXbuG69evEwE5sViM1NRUpKSkKO1jR9VFU5icnFTaq7avr49o6cL1nFOnTimVwbLne6pHLV8MDQ3h8uXLSo2hvivU1NTg//2//4ezZ8+ioaFB4fXh5OTEOCeZTEbXm1MBavZrt27dyqt90apVq4jvlb2vmJgYhT3o+MLd3R179uwh3qurqwsnT54k1g4/xcycRmapwTsFe3BURUpsbGxw8OBBohB7enoap0+fxrZt2+Dh4aGwp1xSUpJa0jmhUIgdO3bg1KlTjCxCb28vLl68SNQY6OrqIisrizCUoODr64vExERi4qFMM+QHlZs3b8LOzo4YJEUiEWdfnu7ubsK5ko3Xr1/j2LFjSEpK4nTnBEgyBywRZkW9v6RSKa5fv845WcbExEBXV5dRPycQCODj4wMrKytcunSJcPYsLi7Gq1evkJ6ezjD3UJWZk8lkeP78ObKysjgXUWvXrkVUVBS0tLQIhyxfX194eHjg2rVrjP1Sjm1JSUmc5iGK8PTpU8Z+KKdRCtHR0airq2N83zk5Ofjggw84o+HsrJy2trbSxRYFAwMDxMTEMKTGIyMj+Pd//3fiuVFRUTAwMMDLly/R3d2N3t5edHd38zayoWBmZsZLLjk4OEh8hxqZpQbvCtbW1hgaGqL/VtQ+A1i6Lg8dOoTS0lLcu3fvjRd/Xl5eiIiIIGpPgaUxQ35hKxQKkZycjCNHjtDbZmdnMTw8DBMTE0RGRsLBwQGXL19+a9kl5VpIQSQS8TJVWbVqFYyMjHDp0iVGwG94eBhnzpwhnt/Z2YkHDx4wPncKlpaWSE9P52z0zYaFhQXs7e0ZBLSsrEyh7JxtriGRSLBv3z5kZGQwSOfAwABOnTqF/fv3c5ITdYLP8pidnUVBQQGKi4vVItnu7u4wMDDA/Pw85ubmGA/5bXxlm8BSoPnFixdYtmwZAgMDERgYyDgPqkWBPOFsaWmBl5cXbty4QSh1IiMjOTPFXNDR0UFAQADhYUDB3t7+W2tN4+zsjP379+Obb75hZBb7+/uJbLCGzGmgwVuCr8xSHiYmJjh48CDOnz/PyJosLCzg0qVL2LRpEwwMDJT2lFMH2traeO+993D8+HFGfRGXnOXcuXOcg7WOjg6SkpJo2Rt7QHR0dIS3tzeuX79Ob5uensb169exZ88eldbE/f39uHDhAq/zWVhYwLVr19DZ2YmEhAQisigSiYhCfEVkbn5+HpmZmZxNwpOSkhAUFEQUtlPnYmZmhkOHDuH27dtERLqzsxNfffUV0tLS6IlCWWZufn4et2/f5qwx0NHRwdatWxnkhy2zHR4ehpeXF0xNTXHhwgUGSafIam9vL+Li4lTKXOfm5ojJytfXl0EgDQ0NERkZyZCrdHZ2ora2ltFqgAKbKHt6evKOCAcGBqKqqopRfM6FsrIyhunPm2JgYIDO+tnY2MDNzQ1ubm5EPz324lljfqLBu4S1tTUjSKKMzAF/kol5enoiJydHaf2VPIRCIfz9/REREaGwJnhubo6QWPr7+8PKyoroRdbb20vXtDo6OuLjjz/G1atXiRYolOwyLS1NZb879vjt6upKjLeK4OLigoMHD+LcuXOMeY1rgXz58mXOfQQHByMuLo73e1KvkSdzra2teP36NVHv29HRQZxfREQE7OzscODAAZw+fZox3g8ODtKEju0UzNfwjIJMJkNlZSXy8/PfyF1zcHAQKSkp0NXVVfk+8/PzmJ2dxaeffspr32NjY3jw4AEKCgrg4eGB4OBguv3CihUrCDL39OlTwoHTwcEBGzZsUPleU1NTGBgYQH9/v1IX187OTnz99dfQ1dWFrq4udHR06N+5Hjo6OkqD87a2tvjggw9w5swZpSUTP0WZpYbMafBO8aaRLn19fezfvx+ZmZkMrb9MJkNWVhbn8+V7yqkLAwMD7N27F8ePH1eqO+cicq6urtiyZQtjYmCTOcpJq7m5mVE39uLFCzx9+lRpHdPLly9x4cIFtevyysrKaOMRdqbKyMiIcZ7sDCSwNACeP3+ecOnS0tJCWloaTVzZrSfkF/QSiQSpqalwcHBAdnY2I6NG1Sdu2LAB69atU+hmOTg4iIyMDM7aC1tbW6SnpxPnx/6bOj9LS0t89NFHyMzMJMh6SUkJ+vv7kZ6erlQGUl5eTtSQcblVhoWFoaysjPHZ3r17F+7u7oxzHRgYIOSIfCSWFAQCAZKSkvDHP/5RaVT4ba3SudDd3Y3u7m48ePAAhoaGWLlyJdzc3ODs7EzI2jQSSw3eJdhZ4L6+PtoERRmWLVuGHTt2oKmpCZmZmQqzItra2ggODkZoaKjKee358+fE+B0eHg6BQAArKytGW5Wenh5GBkpfXx979uzBkydPcO/ePcZ4S8kulbldSqVSQvbH1YNMGSwsLHDo0CGcP39erb552traSE5OVtmYmgteXl7IyclhjLVlZWWMeiuZTEa0AtLT06Mt742NjXHgwAGcOnWKEagdGhrCyZMn8f777zOUKuqsV169eoXs7GyFMn0DAwMsX76caDkkj6GhIWRkZGDPnj1KSYtAIIBEIuGUtu7fvx9NTU2oqKjgXCMsLi6irq4OdXV1MDMz4wx6T0xMEFJiXV1dwlBlenqaJm0DAwP07+o4tKpb1iCRSDhJnvzf4eHhSmv5NZk5DTR4C0xNTRED/61bt1BUVAQtLS0IBAIIBAL6d65tfDE7O4vc3FzGPpQ9FD3P0dFRqUmHPEQiEWJjYxESEkIcK3vQNTIygkAgwObNm9HZ2cmYNPLy8uDs7MyZGWtoaMDly5dVulja2dnB0tKS6NnX3d2NI0eOYOvWrYwJfPny5Yzvhk0+KaLFjmaLRCLs3LmTUeCtqnG3QCBAUFAQbGxscOnSJYI4PnjwAJ2dnYRcaH5+XmlvotWrVyMuLo5zEmRn5iYmJjA/Pw+xWAw9PT3s3bsXd+7cIQxC2tracPToUezatYuzOF8qlaKoqIixzc3NjfO7E4lEiIuLw6VLl+htY2NjePLkCSPayc7KGRgYqNVXampqCi9evFBL3sOGQCCAhYUFZmZm3rjv4Pj4OMrLy1FeXg6hUEhIYTVkToN3CbZMnTJB4Sv1dXNzg6enJ6EqoLB3717Y2dmp3M/i4iLROsXNzY2WG7LJHDuwAyzdn2vXroW9vb1C2eXLly+RlpZGjKMdHR1EZoKPhJsNAwMDvP/++0SAVRFsbGyQnp7Oy4yMCyKRCP7+/ozPrqKiAlFRUTQhb25uJmoB161bx3AzNDIyogmdfEBreHiYJnRU8I+PkmhiYgL5+fkKe21qaWkhLCwM69atQ15eHoPMubm5YWxsjPEdt7W1ITs7G5s3b1a55mETQ0NDQzg7O8PZ2RnR0dGora3Fs2fPFBKmwcFB5Obm8lJ9BAcHo7m5mUHa3qa335uCkpq+6bwELK0Ph4aGlLpp/9igIXMavDMoIiBcevpv472UNTL+tmFjY4OtW7cq1P+zBx4q+qenp4eUlBScPXuW/t/CwgKuXr2KDz/8kDHIlpWV4fbt2wRZsre3h52dHYNU6OnpISkpCfb29rh16xbjs5+ensa5c+ewbt06rF+/HlpaWoS8RP54x8bGcObMGaKWipKjOjg4MLYry8zJw9raGocPH8b169eJmkK2hAhYsm3mklVKJBJs2bJFabSXnZkDlrJz5ubmAJYm3ISEBFhZWeHWrVsM4jEyMoKvv/4aqampRI1GTU0NQdSV9ZDz8PCAs7MzIwv45MkTuhZFJpMR9XKUYYIyLC4uorW1Fc+fP0djY6NCIwYuaGlpwcLCAlZWVrCxsYG1tTUsLS0hFotx8+ZNzn5Q8vD09MSLFy+URju5jqe1tRXr16/nfZwaaPA20NHRgYmJCWMB39PTw5vMNTQ0KCRyAHDjxg0cOnRIqZEHsGSbzg5gyfcC5TJBUQRKdnnt2jUi29bW1sYpu2RLEK2trXkrZIA/mad0dnaiq6tLaaZJHjo6OmhoaICLiwssLCzUCs5SCAoKYpC5qakpNDQ0wMfHh3ZXloeRkRFhngIsZVspyaX8vDYyMoKTJ09i//79MDExUSqzlEqlKCkpQUFBgULZHtXnjSIN7HpxOzs7+Pn54dixYwxiVFZWBnNzc6UKHYAkc/LBBLFYjICAAAQEBKC7uxvPnj1DdXU15zpMVXAYAKfZ2Y8Zjx49Qmpq6vd9GN8aNGROg3eG7yOK8y5ASVoUySJkMplCMgcsyTJDQ0MZWaHe3l7cv38fsbGxkMlkKCgowIMHD4h9u7m5IT09HQUFBYzt1IKCqsO4dOkSIasrKCjAq1evkJaWRpAd6niHhoZw5swZ4vj19fWxd+9eItpNna88lE3aurq62LlzJwoLC5Gfn68yq8eGhYUFduzYoTLCJpFIiFoUeTJHISAgAGZmZrh48SLjep2fn0dGRgbWrVuHDRs2QCAQQCaTEU3C7e3tCXIrD4FAgPj4eHz11Vf0uS4sLCAvLw/btm3Dq1eviD5wyiSWw8PDqKioQEVFBa9GuRQCAwNhbW1NEzeuyKxUKuVVJ+Tk5IRt27bh5cuXaGpqQlNTE3EOXOBaZGmgwXcJGxsbxjjY3d3N6zocGxsj3GDZGBgYwO3bt5GamqpwzJPJZEQm38bGhjFmsMfUiYkJTExMKDQ20dfXx3vvvcdbdskmc8qycouLixgYGKCJW2dn5xvLs1tbW+mMo76+Pp1BcnFx4Qy2ccHMzAxOTk4Mh92ysjL4+PigpqaGcG6Wz9qxYWhoiPfffx+nT59mkKzR0VG6hk6RzLKlpQU5OTkKA9EmJiaIj49nfLYymYw4PgsLCxgZGWHXrl04efIkg1Tl5ubC1NRUaVsDdsZNUWbYxsYGW7ZsQVxcHCorK/Hs2TO1ja7UhVAohJ6ensp2P6tXr4ahoSGmp6cxPT2NmZkZ+nfqoY7hC19UVlZqyJwGGrwJ1Fls/piwYsUKpfp2yp5ZHmwHyZiYGLS2tjImlcLCQqxYsQJ1dXWc/YhWrVqFpKQkaGlpEfuXjw5TdWE3btwgFucvXrzAV199RRCG0dFR9Pb24uzZs4T+3cjICPv27eMtUVAVgRUIBFizZg3s7OyQmZnJm/QHBAQgMTGRdxG9sbExg8wpIhx2dnY4fPgwLl26REQ+CwoK0NfXh61bt6K9vZ2ItK5du1blcVhaWiIoKIjxndbU1CAkJITIypmamhKR+vn5edTX1yvsd8Xn/ZOSklR+L62trUQt4M9+9jOcP3+ekVnIy8uDm5sbXFxc4OLigvj4eAwNDaGpqQnNzc14+fIlJ0lXpw5QAw2+DVhZWallggIsLcKvXbtG3AubNm1CeXk5Y4FeVVUFR0dHBAYGcu6rs7OTWIBTtXIUTE1NIRaLGQvY3t5epYt6vrLL9evXE2RMnnDMzMzQpI3Kun0X9UWTk5OoqamhvwtjY2O4uLjQBE9ZjXJQUBCDzLW3t6Ovr49oS2Rubq5yjKGkoqdPn2bUYI+NjeHEiRPE3LewsIDz589zGoABS/PuunXrEBYWRqwJJiYmiBo2So5va2uLlJQUhmGMTCZDZmYmPvzwQyLoCCzJDdnkUJXMV0dHB6GhoVi9ejXa29vx7Nkz3mUkiqClpQVTU1NYWFjA3Nwc5ubmsLCwgImJCXJzcxU6WVJob2/HRx99pFTqKZVKCYKnjPzNzMyoDDps3br1jc73hwoNmdPgnYFroElISIChoSFkMhkWFxchk8kYv7N/NjY2qux7JY/Vq1cDALFfanHJ3sZ+cBWLs3Hu3DkcPHiQt8QSILX3VGPWY8eOMSRpp0+f5txnZGQkoqKi6EWAMjIHLA3i27dvR1FREfLy8hiLa6puSx5jY2M4fvw4EREzMzPDvn37CFmmPNTJzMmDkgxdvnxZ6XcsEomQmJiotqXx8uXLGQspLpMXClTU9vbt24Rct7GxEceOHSMWd+bm5ryNBKKiolBTU8OY3LOysoiAh6+vL50F7OnpwfPnz1FdXa3SjUsoFMLT0xOrVq3CxMQErl69Sv+vr68PL168UNnIlk0s7ezsYGFhgeTkZIYN+fz8PG7evIm9e/fStaZmZmYwMzNDREQEZmZm8Lvf/Y7Y/5vIrDTQ4G3AllT29/dDKpUqDcYVFhYSQRNPT0+EhITA1dUVR44cYYy/2dnZsLGx4VQtFBYWMv42MjIipNuUCYp87VdPTw+vxtOqZJdcwZ++vj6UlZWhs7OTCE69KwwPD6OsrIyu8baysqLJnaOjIyNg5+HhQagsjh07RkgFo6OjVcrTgaUs4fvvv48zZ84wJK1cJh6ZmZkK9+Pv74+NGzcqlKyyiZdEImFkJH18fDA4OIiHDx/S2yjTsUOHDhEEt7u7mzHXCgQCteqQ1a07EwgECkkb1/0zODhIBKF9fHxgYGDAkMr29/cjLy8PCQkJCt9bKBTCwMCAV9uNhYUF3L17VyWJfNPazR8qNGROg3cGrgyKh4cHZ58zNiipoTpEjnrdpk2b3mjhqMgpk43p6WmcPXsWH374IedAzh4wDQwMOKNQVlZWiI6OVmkXv2nTJpqkUlBF5oClwZjqecQnA8YmctbW1ti7d6/KBp/qSiXlYWBggC1btuDzzz9X+Bw7OztOO39VUORoqQgikQhbtmyBtbU1cnJyGOfFJVFZs2YN7+tMT08P69evR25uLr2Nq7m7q6sriouLUVFRobL5O7D0HQUEBMDX15e2t15cXERBQQFDEvT48WOli8P5+XnClpqqSXRxcUFgYCCjlq61tRUVFRWcBFtHRwcODg6MVglcC10NNPiuwV7sSqVS9Pf3K1wEd3d3E3VYy5YtQ3JyMr243bJlC2ORv7CwgIyMDBw+fJhhvDE0NETUBoeFhXESDjaZU1Y3x4Yy2SUXVMlHuSAWi2Fraws7Ozv09PRw1jjLIzY2FoODg2htbeVFIHp7e9Hb24vCwkIIhULY2dnR5M7W1hYBAQEMYswmcnZ2dnB3d+d9Pnp6eti/fz/OnDnDK1srDxsbG2zatEllVoztvmxubk7MF+vXr8fg4CBqa2vpbcPDw7h06RL27dvHIE1s1YiVlZVKlQrlZPno0SNON2hlSE5OViuAmpeXR/RR3LhxIwwMDNDW1saYz0pKSrBixQpeAQtleP36NTIzM3l9h29jEPZDhIbMafCDx+zsLK5evUpMhHxQWlpKu0yqS+iKi4uJyJKuri4++OAD5ObmMiaw0dFRfPPNNzhw4AB0dHQYr1FWL8dGeHi4QjInFAqxdetWTqMPdqZGfhHBBhW9zczMJNoMKHvN7t27le6Xwptm5oClrNe1a9eUPqe9vR1HjhxBamoqZzNeReDqNacKAoEAq1evhrm5OTIyMohsnDwKCgpQUVEBfX19xsPAwIDxOzXhhoSEoKysTGntwsmTJ1Wamejo6MDPzw+rVq3iJElaWlpYs2YNY9H28uVLdHZ2KuzD2NLSQgQI5K+72NhYNDc3M+Rcubm5WLFiBRHQkMlkxGI0KipK6TlpoMF3AR0dHRgbGzPu/Z6eHk4yNzc3h8uXLxOLvq1btzL6gHl7e6Ojo4ORCXj9+jVu3ryJbdu20eMfu1ZOW1tb4eKYfR+rQ+aAP8kuHRwckJmZqbJuSRWWL19OG23Z29vD0tISWlpaGBkZwRdffMF4ro6ODiEnnJqawpYtWyCTyTA8PIy2tja0traira1N6ZgKLBHuly9f4uXLl7h//z60tbWVKkMAYOPGjRAIBJBKpZiZmeF8UHI8+Yc6klJ9fX1s3LgRAQEBvOY4NnnicjwWCARISUnB8PAww1365cuXuHXrFrZs2UK/F1uuq2wulEqlqKqqwuPHj9+45vHGjRuYnJzkFbRsa2vjDFxQAdW0tDQcPXqUQcKvX7+OTz755I17jypzuvb29kZLSwtjnfRTa0+gIXMa/KAxODiIixcvci54fX19IRKJ8Pz5c3qbnp4epqenGYSiqKgIQqEQ0dHRvIlFQ0MD0adEKBRi165dMDc3x44dO3Dq1CnGgNvX14cLFy5g7969jMwbXzI3NzentDeKnZ2dQsdGPpk5eRgYGGD//v3Iz88npD9sUCYr6jR4lQefz1wqlSIvL4+w7FaEwcFBfP3111i3bp1S8xl5qJuZk4ezszM++ugjfPnllwqLsV+/fs1rohSLxTTBU0UolRE5V1dXBAQEwMPDQ6W1tJ+fHx48eMCQcT5+/Bi7d+/mfD5bYunk5MQgaTo6OkhKSsL58+fpbbOzs7h9+zZ27tzJ+M6HhoaI61PTlkCD7ws2NjaM+667u5uzxi0nJ4e4n9euXcvZJiQ2NhZdXV2M+aC2thaOjo4ICQnB5OQk4cQbHBysMDjGvj9ev36N2dlZXsE0eTg4OGD79u04fvw479cIhULY2NjQxM3Ozo5TcSKTyXDz5k1iPNy5cydtiU+hrKwM69atg0QigYmJCUxMTBAUFEQHeihy19HRodLsYnZ2VqUc9MqVK5iZmflOjDMo7N69W61gIh8yByzND7t27cLRo0cZJLyiogLm5uaIiIiATCZT6mRJYX5+HuXl5SgsLFTqWbB8+XKEh4cjOztb6Tnk5+djbGwMCQkJCiWsi4uLxDpGT08PkZGR9N8WFhaIjY1lvN/ExARu3rxJzB+qMD8/j5ycHE7XZZFIhISEBAQGBuKLL75gkLmfWuNwDZnT4AeLxsZGXL16lbjpBAIBYmNjERYWhlu3bjH+5+PjA3t7e1y5coVB6B4/fgyRSMTLCr27u5tRiEyBanYNLJGl9957D8ePH2dM+C9fvsTVq1cZzTXZgyhXVLGrqwtXr15VSgY6OjrQ2NjIKR9Rl8wBSxmbmJgYjI+PE73N5KHK4IUNdTNzw8PDuHz5strNQ2UyGR4+fIimpiZs3bqVs0hcHuzMHBWNZWdSFaG7u5uXhbMqzM/PY3h4mFdmkI3ly5cjICAA/v7+vB3ggKUFWnh4OEPW2dTUhL6+PqJ/3uzsLFHgzyVrdXNzg5+fH8OuvbGxEbW1tYzns3tLGhgYqGWFroEG3yasra0ZMjYuSVZdXR0jSAgsZT7k+0HKQyQSYfv27fjqq68YWanc3FzY2tqiqamJMXZoaWkRUnl5mJubQ0tLi5EV7O3thaOjo8rzo7C4uIiioiJOF2R5GBgYwMHBgSZvVlZWvPqOVVRUMPrhAUvmJE5OTjAwMGCQuZmZGVRUVBDnTNV5WVtbIyIiAgsLC+jq6qLr+7q6ut5Itv+2mUg+OHbsGKytreHr6wsfHx+lYxrlCioPrr6lFAwNDbF7926cOHGCQUjv3r0LU1NTWFpaEmUS8mRudnYWpaWlKC4uVtrA28zMDGvXroWPjw/m5+cJMufp6UmYppWWlmJ8fBxpaWmcAd6qqipOJQY7EBESEoKWlhZGj8LGxkaUl5fzdjoeGBhAZmYmp2TUzMwM6enp9OfMfn9NZk4DDb5jKLPi19XVRXp6OlxcXACQmQuRSAQfHx9IpVJCrvfgwQMIhUKljoMjIyM4f/48ZzE1e0FL2fN//fXXjAGzrq4O+vr6dK2essycVCrFo0ePUFBQoHLSotyt9u3bR9jfvwmZGxkZQVZWlsqGr1lZWXj27Bni4+Ppz13VcfJFfX09rl+/zhklY9dZAUtkhp1R6+npwVdffYWNGzciLCxMIXnkyogODw+rzBItLCzgzp07KC0tVXE23x309fWxdetWuLi4vLFxSGBgIAoKChiypidPniAtLY3xvMbGRmLh6enpybnP+Ph4vHjxgnH9Z2dnw9nZmZbLsBfLfPt6aaDBdwH2/d7X18cwQRkdHcXNmzcZz5FIJEhLS1Ma1Fq+fDlSU1Nx4cIFeptUKsX58+cZZh3AkqpEmVRQJBLB3NycUVekDpnr7e3FjRs3VNYO2djY4NChQ2qPKePj44zAELAUpIyNjQWwtJB2c3NjBIVKSkoQEhKi9L1EIhGcnJzg5OSEqKgozM7O4uXLl7QkU906r+8aPT096OnpwZ07d+Ds7AxfX194enoSAcLh4WFiTaEoM0fB2toaW7duxaVLlxjbr1y5QpBiXV1dmJiYYGpqCiUlJXj69CkhdZWHlZUVIiMj4enpSX8fXKQvOTkZ9vb2RKatoaEBp0+fxu7duxk19HNzc8jPz2c819zcnDPzLRAIsGXLFnz55ZeM+yMnJweOjo4KDeWApTVGRUUFsrOzObOvAQEB2LRpE2MdxF4T/dTInGqrnx8BOjo68Fd/9Vfw9PSEvr4+TExMsHr1avzHf/wHMYi+DS5cuID4+HhYW1tDR0cHTk5O2LdvH29pGLAkOfr7v/97+Pv7w8jICMuWLYO/vz/+/u///jtpnv1jw+zsLC5evMhJ5KysrHD48GEGoWAPkFRE0d/fH8nJycQ+8vPzidoFCjMzMzh37hwR8QoICFBIAI2NjbFnzx5ioCgtLaWbbCoic0NDQzh+/DgePnxIECCxWIyEhAQEBwcztlPWyOxJjT0wKZPjLC4uorCwEF988YVKIkehv78fZ86cwfnz51X2p+GTmVtYWEB2djYuXbpEEDmhUIjNmzdjz549xOv27NlD93mTh1QqxZ07d3D69GmF8kmhUEgsoFRJLV+/fo3jx4/zInIhISGIi4vDmjVrEBAQgJUrV8LGxgZGRkZqZTa5MDk5ievXryMvL4+XEQoXJBIJ0YS2pqaGyBDKZy2AJcMTRaY3enp62LRpE2Pb1NQUcnJy6L/ZC0qNxFKD7xNcJihU1mRxcRFXr14lFsKbNm2CiYmJyn27u7sjPDycsW1iYoKou2M/hwtvUje3sLCA/Px8HD16lJcJRF9fn9pyM5lMhtu3bxOvS0pKYsw7YWFhjP+/fv1aoaW/Imhra8PNzQ0JCQn42c9+hl//+tdwdXVVax8UKEdEMzMz2NnZYcWKFfDx8UFwcDDWrl2LmJgYJCUl8fpuuNDW1oYbN27gP/7jP3Dp0iXU19fT6xP2fE3VUKuCp6cnoqOjGdvm5ubw+PFjxjYjIyPcvXsXv//971FQUKCQyDk4OGDPnj04fPgwvLy8GPMoF7mRSCQIDw/Htm3biDmsq6sLx48fZ8wfhYWFxPopLi5OoSTTwMAAKSkpjG0LCwu4cuWKwhKD2dlZXLt2DTdu3CCInFgsRmpqKlJSUog1GftvjczyB4bbt29jz549jAXz1NQUSktLUVpaimPHjiErK4tXRkERZmZmsH37dkLSRxXlnjt3Dv/wD/+Av/3bv1W6n9LSUqSkpBCDbFVVFaqqqnDs2DFcv36dWMD/T4Gy+jgfHx9s2bKFSOsrInPAUiZCKpUSjpR37tyBSCRCSEgIvU0qlSIjI4OQQjg7O6vsyWVtbY1du3bhm2++YQxA9+/fh76+PqfMsrS0FHfu3OGU7dna2iItLQ0mJiaQyWRYWFhg2OPPzMzg7NmzOHjwIC21Yw9MijJzr169wq1bt9QuqKfQ1NSElpYWBAcHY8OGDQwjAEVgf3bKHKdMTEywfft2WFlZQSaT0bb8FObn57F+/XqsXLkSV69eJa6V9vZ2fPnll9i0aRP8/f2J9zY2NmZ8H8qkjsqyhn5+fmhtbWVMXDMzMwoXAjKZDHNzc5iYmMDk5CT9GB0dJSZmRRgfH0dhYSEKCwthaWkJPz8/+Pr6qiVZXL16NZ48eUJPglTj86SkJABLzqxsS3NVzqFeXl6EHKempgbe3t5wd3fXkDkNflDQ1dUlTFC6u7thZWWFJ0+eEKZQPj4+8Pf3573/jRs30r3auODq6qpUYkfBysqKUWenipx1dHTgxo0bCoPCoaGhCA8Px+eff06TS6lUioaGBgQEBKg8Hgq1tbWEuYWfnx/RlsXJyQmWlpaM4FNxcbFaLpPykEqlKCgoUOmc6eHhgcDAQOjo6EBHRwe6urrQ0dHhJR2VyWT4+uuvFf4/MDAQYrEYtbW1Ct2gpVIp6uvrUV9fD21tbXh5eRHzjKqsnDzWrl2LwcFBhpydDcr9UxFcXV0RGRmpNLPLJnNCoZAmcFRLgQsXLjDmw6GhIXz99dfYs2cP9PX1iRZHrq6uKh0q3dzcEBwczJDl9vT04P79+4iJiSHOMzMzk/Mat7S0RHp6usKMnkZm+QNGZWUlduzYgampKRgYGOC3v/0toqKiMD09jQsXLuDo0aNobGzE5s2bUVpayqtHBRc+/PBDmshFRUXhl7/8JWxsbFBdXY1//ud/xosXL/B3f/d3sLa2xqFDhzj38erVKyQnJ6Ovrw8ikQh/+Zd/SS+gbt26hU8//RTd3d1ISkpCWVmZWoW1PwXwqY/jIlTsyAx7wA4JCYFUKiUkIVlZWRAKhQgMDKQjjWz9v5mZGXbs2MErq+Ls7IytW7cSfWjYAQBgKQDBNTELBAKsX78ekZGRdCRLIBAgOTkZU1NTjKjm+Pg4Teh0dHQIUsgVhbp37x5KS0s5ZZAGBgZYWFhgRPTMzMygpaVFRBUXFxfx9OlTVFVVYf369QgJCWF8Rsoyc7W1tbh58yYnQfLx8WFEdwUCAXR0dBiyQOr4bGxscPjwYdy7d4/IjM/NzeH69etoaGhAcnIyIwK6fPlyxmKNKzNHZfm4+tTI97h78uQJ8vLy6P/V1dUhPj6eM+IqEAigra0NbW1tRrN1Vb1wFKGvrw93795FXl4enJ2d4efnB09PT5XyWl1dXQQFBTE+s4qKCmzYsAEGBgaor68n7KQ9PDyU7lMgECAxMRFtbW2M6+f27dswNDTUmJ9o8IODtbU14WjZ1dVFNJ42MjLC5s2beZs49fX14dWrV0qJw8LCAoaHh1X2uWLfJwMDA1hYWCD2PTs7i/z8fIXqAXNzc1ouBwArV65kkLGamhreZG5qaoqoq9LX10d8fDzxXIFAgLCwMFy/fp3e1t7ertA9VBkmJiaQkZFByO65sLCwwLvfJxvV1dVKa7eFQiESEhIQFxeH9vZ2VFdXo66uTiExmJ2dJWovgaUsXm5uLn1dqfr5pmtXDw8PREZG8pK2qyrVcHJywsGDB/HNN98wAqKTk5M4efIkJBIJYx0iEAgQFxfH6zipz1M+OPvkyROsWLECTk5OkMlkePbsGXJzczkzdsHBwYiLi1Nq0qbJzP2A8atf/QpTU1MQiUS4c+cOIyoeHR2NlStX4q//+q/R0NCATz/9FH/3d3+n9ns8fPgQ586dA7CkH7569Sq9cA0JCcGWLVsQFBSEjo4O/PVf/zXS09M5jQn+z//5P3SE6ty5c9i+fTv9v8jISAQHB2PHjh3o6+vD3/7t36rlPvVjBmViwac+jgvKMnMUwsLCaPmJPG7evAmhUIiJiQliwKV69fA1xwCW7G8nJiYYEjMucBE5U1NTbN26lZPEa2lpIT09HWfOnGFEe4eGhvDNN99g586dxGvkB66GhgZkZWUpLAoPCgpCTEwM7t+/zyAXDg4O2Lx5M54/f4779+8TmvqZmRnk5uaitLQUcXFxcHNzIzJpwNKgvrCwgNzcXKLVA8B0nGIvmthkTn4AFovFiI+Ph5ubG65fv07IWRsbG9HZ2YmkpCS65kuVo+XIyAgyMjII0w5gidxu376djqquWrUK9+/fpycXqVSK58+fK63JlMfs7CwKCgpUPk9fX19hEbtMJkNraytaW1tx+/ZteHp6wtfXFy4uLgqlLeHh4Xj69CkjOl9UVITY2FjCxdLNzY2Xg56BgQESEhIYdaoTExM4efIkcS4a8xMNvm9YW1ujrq6O/ru9vR0vXrwgmjCnpaVxzgEymQwjIyN49eoV/ejp6eFlkPTy5Ut8/vnnsLe3h4+PD7y9vTkDQGyZJWWiIU+EmpubcevWLU6nQi0tLaxduxaRkZGMedHHx4dB5lpbWzE5OclL9peTk0OUrmzatEmhDNvHxwf5+fmMLFZxcTG2bt2q8r0odHV14dKlS5zz1+rVq2FpacmocWxpacHo6Civ/rXymJubYwTnuECt4bS0tODi4gIXFxckJiaiqakJ1dXVaG5u5t2/TJ3yHHUgEAjg6+uLNWvWqJUB5FN3b2FhgQ8//BDffPMNI8g7NzdHvN7f35/3+4vFYmzbtg1Hjx5lfH5Xr17FgQMHcPfuXcKIBVjKtm3ZsgVeXl4q34N9Pt+l0+n3gR8tmSstLaUJwIcffsgpb/r1r3+NEydOoL6+Hr///e/x29/+Vm179X/7t38DsBSR+eKLL4gsjZmZGX73u99h9+7dGB4extdff41f//rXjOf09fXh7NmzAJYMA+SJHIXt27cjPj4eubm5OH36NP7lX/6FlxTjx45Lly5xkhsrKyvs3LlTpWMfHzIHLEkVpFIpQRq5epqJRCLs2rVLaeRUJpNhcXGR+Onr64ve3l6GLFIVQkJCEBsbq/TaFIvFtLuVvBS0u7ubvrbkIZFIMDo6iuzsbIX9+dgRW/a1vbi4CC0tLQQFBcHHxwePHj1CcXExERl7/fo1Lly4AGdnZ8TFxRFk7vXr1/j66685ZSCmpqbYvn27wmudTSS4agGcnZ3xySefIDc3l/jcp6amcOnSJfj7+yMhIUFpr7mGhgZcv36d8z18fX2RlJTEmBD09PTg7e3NkL+UlZUhIiJCIZGSR1FREUHSqDFAHi4uLli7di0qKytRXV2tkJTPz8/Tkm0DAwNaHmZpackgyVSdrnwA49mzZ1i1ahXa29sZ+1TUCoMLfn5+qKmpYcg02fenjY3NGxu4aKDBtwV2ZohL2h8ZGUkbTc3MzDCI26tXr5S6BPJBZ2cnOjs7kZubC1dXV/j6+sLd3Z0eY7S1tRX2xJuamkJubq5C6Z2NjQ22bNnCOa66ublBLBYzpNa1tbVK3TUB0IRFHh4eHkoX0lQ5g3zGs6amBjExMbyCOmVlZcjOzuY0OktKSoK/vz/m5uaQm5vLIBOVlZVYt26dyv3L48mTJ8TYGhgYyLC87+vro+X/FMRiMby9veHt7Y3p6WnU1dWhurqadw/XbxOurq7YvHmzyqwvF/iaqC1btgwffPABLl68SMwX8qioqEBNTQ10dHSgra1N/6QeXNudnZ0ZMtqxsTF8/vnnnPu3sbFBeno673PVZOZ+oJBfhH/wwQecz9HS0sL+/fvx29/+FsPDw3jw4AHttsQHExMTdDYnNjaWs48HsNQAcdmyZRgbG8OVK1cIMnfjxg16MFJ0rABw4MABOo1848YNfPTRR7yP9ccKLiKnqD6OC3zJHACsW7cOCwsLKmuUKJMRRYTtTaySFcHe3h42Njbo7OykDXEUnbeuri727t2L48ePM7JQXD13nj9/jocPH3LKP6gWDeHh4QwCxyZz8hOotrY2YmJiEBwcjLy8PMIkA1iSjnz11VfEdkUOZH5+fti8ebNSaSA7Kq5oANbR0UFKSgrc3d1x8+ZNInpcWVmJtrY2oknvyMiI0h53QqEQmzZt4swaAktEXH5BNTIyghcvXqiU+UxMTBBGPG5ubggLC0N/fz+DaFVXVyM4OBixsbHYuHEjXr58iaqqKqXynomJCRQXF6O4uBgWFhZ0fR1lALNmzRpUVFTQ1/Lc3BxOnTrFuLbFYjHc3NyUnoc8BAIBkpKS8MUXXyg8Lo3EUoMfAlRdh0KhEHp6erh27RpevXql0vTpbbC4uIjm5mY0NzdDLBbDw8ODzq6z5aC9vb2oqalBdnY2p7mbSCRCdHQ0QkNDFQaUJBIJ3N3dGVn4mpoapWRuZmaGKBnQ0dFBYmKiyuBMcHAwHj16RM/VlEx/48aNCl9DGWRx9Q4zMjLCjh07aOmgRCKBj48P47nPnz9HZGQk78DR6Ogo0W/VxcUFkZGRjP3Ozs5ibGxMYdaPkrEHBgbixo0bagV1vw20t7fj2bNniIyMVEtVBKjniK2jo4M9e/bg97//vdKgxsLCAiYmJhTWF74NvL290d3djdHRUbpvq46OjsLvXFMz9wMF5RSor6+vtCeFfF+xx48fq0Xmnj59Si8elfUnk0gkCAsLo+ts5ufnGQty6lhV7Yd9rD81MqeKBKmqj+OCOmROIBAgOjqalpUpw7fpgqoMVHRWHrq6uli2bBn9oEge9fuuXbtw+vRphvyQjbt373Jud3FxwebNmzmd2diTP5c2ffny5UhPT0doaChyc3PV7g0H/KnuLCAgQOX3zCczJw8PDw/Y29vj1q1baGhoYPxvbGwMDx8+ZGxbWFjAH/7wB87aOXkzFkWwtbWFlZUVI+tYWlqqkswVFBQQkwm1uNm4cSPq6+sZ55qdnY2PPvoIWlpacHZ2hrOzMxITE9HQ0ICqqipCIiaP/v5+5OXlEfV1Xl5eDFLOnnA9PDzUVjIYGRkhNjYWt2/f5vy/hsxp8EOAnp4eZ5sTClKpVKVcXhFMTExgZ2eHoaEhYnwMCgpCXV2dwrF7fn4e1dXVqK6uhp6eHjEPUcZuXHByckJycjIv100fHx8Gmevs7FQqTbx79y6RtYqPj+eVXdPT04O/vz/KysrobVQTca7xZXx8HJcuXSKaYgNLKoxt27YRklB2Bm1kZATt7e1wdnZWeXwAkJeXR9R7xcfHw8jICNra2owgYm9vr1IJ5/T0NK5evcrLKdrKygqWlpb02M3nJ5fckIJUKkVhYSGeP3+ODRs2ICgoiLeTsjpkTiqV4uHDh2+dnX4bcK1xhEIh7RRKETzqd3lZNbB0nbGzrD9m/GjJHHVBr1ixQukCXr54X9lNoOw92PtR9D6UO2FzczNDekDtx8jISOnC0Nrams7wqXusXAOfPPjYFH/XUBYJ4VMfxwV1yBywNEjLG1D8EDE9PY3p6ek3tqDngp6eHhISEuDj46Nw8FKWmWPD3t4eH374IWpqapCXl8dZs8EFdt2ZKvDNzMlDX18fO3bsQGVlJXJyclS+hmtBxzZjUQSBQIDg4GBG1Lq5uRkjIyMKJcKvX79mLGyApfYX1Geir6+PDRs2MBaTvb29KCsrYziwisVi+Pr6wtfXFxMTE6ipqUFVVZXSe51qxnv79m2VEmZlEkv5iOv4+Dj9mJiYUHotaHrMafBDgaq2JHygq6sLW1tb2Nraws7ODra2trTD740bNxhkzsPDA0lJSdi0aRNevHiB6upqNDQ0KKyz4xtQ1NbWRlxcHFatWsV7YbpixQro6OgwAkY1NTVYs2YN8dy2tjYiQ+bq6qqWw2dYWBhjzJuenkZlZSXh3N3R0YFLly5xkoTw8HDExMRwZhxtbGxgbm7OUKk8f/6cF5nr7OwkaoWDgoLo8djS0pJhvNLX16fQkbOvrw8XL15U6pIsj/n5eSQmJvLqCwssraEaGhpUBsanp6eRnZ2Np0+fIjY2lq5nV7VveSg6ppGREVy+fFnlmvP7gFQqxdjYGK/1yODgIObn53l/9j90/CjJ3MzMDC17UCR9pGBsbEwbCCiyClYE+eereh+q7oh6nTyZo/ajah/Ufmpra9U+Vvn3/6Hi9OnTCv936NAhXhFFNtQhczKZDPfv32dkSv8nYNWqVYiNjVXZRkAdMgf8qdDaw8MDRUVFePz4sdKi4mXLluGjjz5Sa/BUNzMnf2wBAQFwcnLC9evXlWr75SEUChEfH4/g4GDeCyNfX1/cvXuXQRqfPXtG2CpTuH//PuEYuWHDBsZzQkJCUF5ezpCo3r9/H97e3pxmAwYGBggLC0NYWBgGBgZQVVWF6upqwhSGwsLCgkrp2Pz8PJ4+fUqTNHnSpiwrrAytra1q2aBroMEPBUKhEFZWVgziZmxsrHCcYDsvUvV3QqEQbm5ucHNzw+zsLBobG1FdXa00u64IHh4eSExMVNtUSCgUwtPTkyHn5iJzc3NzuHHjBmObRCJR2a6HDTMzM6xcuZKRrSouLkZQUBBtmvXs2TPk5OQQBiIikQhbtmyBr6+vwv0LBAKsWrWK0dyaUjcokxvKZDIiA6ujo4OoqCj6bzaZU1Q2UF1djZs3b6plrDE0NITbt28jNTWV1+dJ1exREAgE+OUvf4mioiKUlpYSn93Q0BAuXLgAJycnxMXFKVVG8CFzdXV1uHHjBq+gakBAAIKCgjAzM4PZ2VnMzs7Sv8/MzGBubo7xN/XzXamiAOXZxx8bfpRkTj7dz8eylSJz6up21Xkf+bQ/+32o/fA9Vq59/BSg7CbNyMhAYmKi2qSUL5mTSqW4efMmo28PF3bs2AFtbW0IBAJoaWnx+in/+/DwME6fPs3L0SowMJCOIo2NjfEmKurgwIEDSnvLyENdMkdBLBYjPDwcXV1dSqUlY2NjyMjIQExMDG9zHzaZU7doefny5di/fz9KSkoIYxEufPDBB2q3BZFIJPD392c4gVIyF/b12NPTQ0SBV69eTch2tLS0sGnTJpw6dYreNj09jXv37tEtTRTB3NwcGzduRHR0NKO+Tt3P7vLly2o9nw/4Or1poMF3CT71MgKBAD4+PjR5s7S05NWrDFiav9m9sLjGYW1tbfj5+cHPzw8TExOora1VaY8vj9HRUVRXV8Pb21tt90ZfX18Gmevt7cXg4CCjT9e9e/eIDObGjRtVZvW5EBYWxpgfhoaG0NzcDBcXF9y+fZuzvmz58uXYuXOnUkUTBT8/P+Tl5dFjzMLCAqqrqxlqBjYqKysJ5+L169czAmbsuYpt5KWs5lqZEzGFqqoqODs78wpysY/V3NwcRkZGSEhIQEhICPLy8ojyAmCplu7IkSPw9/dHdHQ0XTstD2Vkbn5+Hrm5uYSiBFiaqzZu3IiOjg6G2VpzczMSExPVkuqXl5cznEmVwc7ODlNTU5icnPzJmZm8CX6UZE5+0cuHWVMLQnWjyeq8j/yik/0+1H6+y2NVlcnr6elR6Vb1XeOjjz5S6EzU29uL48ePw9/fHzExMbz7qvAhczMzM8jIyCD6yCnCmzaYHxoaQmZmJrFgtba2hp6eHtHs1MHBgSFVmZubw9jYGEZHRxk/5R/qDlqtra2ws7PjpZvncrPkg8HBQWRkZCiMWMqjpaUFL168gL+/P6KiojgnFXm8icySjd7eXt6SkPPnzyMgIACBgYFqZYqDg4MZZG5qagr19fVENJndHkNbWxuRkZGc+3RycoK3tzejrq2srAxBQUG8as8EAgGcnJzg5OSETZs2oampCVVVVWhpafneSNWb3lsaaPBtQiKRQCgUKg1YaWlpYfny5Vi1apXaEXx2Vk4ikagkJAYGBnBzc0NXVxdvMtfT04Oenh7cvXsXDg4O8Pb2hpeXF6/509HREQYGBozAcXV1NZ2V6uzsRElJCeM1Dg4OSsmRMjg7O8PCwoIxT+Tm5kJHR4ezFYyrqyu2bdumUlFCQV9fH+7u7owSlefPnys83rm5OWI8NjU1JZ7PJnOvX7+mfREmJiaQmZnJ6Vxpa2uLrVu34g9/+ANje3p6OtFrNSsrC7a2tjA3N1d6jmwJvfw8YGpqip07d+Lly5fIzc3llNtXVlaitrYWERERWLNmDeO6VkTm+vv7kZmZyWm0ZmxsjG3btsHW1haOjo4MMjc5OYnnz5/zXncODg5yZkn9/f2J6xBYUvocOHAAQqEQ8/PzmJycpJM28j+pB5c6R1Mz9z1DfoHHJ8JG3TR8B4U3eR/5G5P9Pjo6OpiamvpOj5WPhPP7hqJeNPKorKxEQ0MDNmzYgNWrVyu1eF9cXOSUZMhjbGwM586dI+rPqEbHtbW1jJu8oaGB7kmmDoaGhnDy5Ekio2pjY4O9e/dCJpPhiy++YETpcnJy4OLiQktkJBIJzMzMGJFRNmZnZzE6Oor6+nrO3nxsFBQUoKmpCampqSqzYW+SmausrMTt27fVkpbIZDLatjg8PBxr1qxRWJv2pjJLmUyGtrY2PHnyhDeJB5YmoCdPnuDJkydwdnZGYGAgPDw8VEbkzc3N4eTkxLiWSktLGWSutbWVIPRr165Veq/HxsaiqamJ8flmZ2fjgw8+UGsSkrfPnpycRG1tLaqqqt7IwEYeQqEQhoaG9EMoFBL25fLo7u5+o6i+Bhp829DX11daWyOVSvHo0SNUVlYiJiZGab0xG2wyZ2dnp3Qum5ycREFBAZ49e/bGgZaOjg50dHQgJycHzs7O8Pb2hqenp8LxRUtLC97e3oyFck1NDTZs2EA7asuDkju+6eKXaiIuv9/Xr19zPnft2rWIiori1eJFHqtWrWKQuZ6eHvT29nIS6cePHxPzdVxcHDEPsuu7ZTIZBgYGsLi4qLD/XWBgIDZt2sQZ4HRzc0NycjIyMzPpbfPz88jMzMShQ4eUZrLYpJcrqOfo6IiPPvoI1dXVyM/PJ67xhYUFFBQUoLy8HFFRUQgICICWlhaxPhWLxXSjbq66Tl9fX2zevJmeo21tbeHq6sqY4548ecLLhGVhYQGXL18m1hFbtmyBp6cn3UtQXmJKqU127NgBiUSC5cuXK51bSktLkZWVRf+tp6f3kyFywI+UzMnrw/nIEakFNN9sz5u8j/winf0+hoaGmJqa+k6P9ccKiURCDCKzs7PIzc3F8+fPsWnTJjg5OXG+lmuAkV909/f345tvviEGM7FYjPT0dLi5uWFxcZGxAG9sbIRUKuXtAAUsRZROnTqlkMhRk2lSUhIuXrxI/39mZgY3b97E7t27eQ8q2tramJqaImyUKbCL2oGlzNSRI0cQFRWltAeaOmRufn4eWVlZvKyX3d3d0dXVRchNFhYW8OjRI5SXl2P9+vUIDAwkjoGdmVNF5hYXF1FfX48nT568tekPZRZCubEFBgYqJdrBwcGMa6mzsxN9fX20Wxm7Ia2hoSFCQ0OVHoORkRHWrl3L6NPU2dmJ6upq+Pn5vdF56evrY/Xq1ZienlZK5pYvX06TNAMDAwZpo/6Wt4JeXFzEuXPnlL53T08PrwavGmjwXWJycpKYF8LCwlBVVUWUA1Ath549e4aEhAReWXF2pkaR1H1ubg7FxcV48uSJWlbpXOM8BZlMhtbWVrS2tuL27dtwdXWFj48P3N3dieCYj48Pg8y9fv0aPT09aGhoIGpqN2zY8EbmYVR97sDAAGd2Rx5isRipqalvPEa4urrC0NCQQbCodYQ8RkZGiDnU1dWV04VYIpHAxMSEQTyzsrLQ29tLzJFCoRCJiYkIDAwEQLYNMjY2pgNrbW1tDNlif38/cnJykJyczHluc3NzxHeiyFBKIBDQrsXFxcV4/PgxcX1NTEzg5s2btEkK+/8FBQWc+xaLxUhMTIS/vz+xbomMjCT6xFVWVtKfhyLk5+cT8tWgoCA6sL5q1Sro6Ojg8uXLjM/8xYsXOHPmDN577z2VCRD2evGn1sf5R0nmdHR0YGZmhsHBQZXyqeHhYXoRqW49lny2q6uri3Bekoe8zJH9PnZ2dujr6+Ml9aL282MwNPk28PHHH6OpqQkPHjwgJHT9/f04deoUfHx8EBsbS0jylJG5trY2XLx4kdinvr4+du/eTddFeXh4IDs7m/7/7Ows2trasGLFCl7Hr4zI7du3j0FGqP5B8pmL5uZmVFZW8jaFaG5uxqVLl4hzd3BwwHvvvQeRSITHjx+joKCAEeFdXFxEfn4+GhsbkZqayjkp8yVzAwMDyMjI4JyYqftSHhs2bICJiQkKCwtRWFhIRN8mJyeRlZWFkpISxMTEwN3dnZ4k+NbMzc/Po7KyEoWFhUqdxOSb5VIICgpCf3+/Qqny1NQUioqKUFRUBEdHRwQGBsLLy4vI1nl4eBCypdLSUiQlJaG2tpYgl+vXr+dVTxAREYGKigrGed29e5dzccYXDx8+VJnZ3bNnj1LyyrVPduaRjR+Cq64GGrAzHGKxGLGxsVi/fj0ePHiAp0+fEmYkHR0dOHLkCIKCghAdHa1QaTI7O0soQSjzEwqLi4t4/vw5Hjx4oDDIq62tjbVr18LPzw//9V//xfjfvn37MD09jZqaGtTX1yscF+V72IlEIqxcuRI+Pj5YuXIlxGIxbeIiP7bk5eURkjRra2uEh4dzvgeF+fl5BmmjHsPDw7yNXXR1dTEzM4PJyUmi/QAfaGlpISAggGFyVlVVhdjYWMZ4fffuXcb8RrUiUBRUtbS0ZJA5riDYsmXLsGPHDkbNNTszJy+jjI+PR1dXF+NaKS8vh7OzM3x8fIj9c5mfqJLuisViREZGYtWqVbh//z6eP39OfBd9fX04e/as0v1QsLS0RHp6usJ5wdHREQ4ODozM9JMnT+jsHxeam5uJekNzc3PEx8cztnl6euK9997DhQsXGHN4V1cXTp48ib179yo1AmKT1TedO3+o+FGSOWDpi3306BFaWlqwsLCgUAYlXwyqrnxOPjrEVVTK9T4ikYggAl5eXigrK8Po6KjClD+wtNChooVvIvX7MUIoFCIsLAw+Pj7Iy8vjNCipqalBY2Mj1q9fj7CwMJp0KCJz1dXVuHbtGiFXMTU1xZ49e2BsbExvW7ZsGezs7BhEu76+nheZU4fIUUhISEBrayun3FJV/VhdXR0uX75MnJerqyt27txJE4P169fDzc0NV69eJQhXV1cX/vjHPyImJgarV69mTF58yFxFRQWysrI4ZZWBgYGIiIggagQMDQ0hkUjovjcPHjzgnFSGhoZw8eJFODg4IC4uDra2tiozc9PT0ygtLcXTp0+VFprr6+sjNDQUXl5exPFFRkbCyMgIAwMDKCsrQ2VlpcKo98uXL/Hy5UtkZ2fT2TpKhiMUChEYGMiIaFZVVSE6Ohr37t1j7MfU1JRoYK4IIpEI8fHxuHDhAr1tYmICBQUFavXNpPDgwQOi3x4XSkpKsHnzZl77bGxsJCK5BgYGWLt2LaMOoru7+ydVp6DBjxPsoIKVlRW0tLSgo6ODhIQEBAUFIScnh1OiXVZWhtraWmzYsAEhISHEIrWzs5MxtgmFQnqBL5PJ0NjYiPz8fIVuskKhECEhIYiMjKQJI5tw9fT0ICgoCK6urti8eTNevHiB2tpaNDQ0KJS8LywsoL6+HvX19XTjcB8fH3h6ejKyVG1tbYzXaWlpISUlhT7P+fl5grBRpO1tMTY2hps3b+LWrVtwdHSEl5cXPDw81HLrZJO5mZkZNDQ00ATp5cuXRM+x4OBgpfVqlpaWSttFOTk5IT09nSCg7PlXXrJJKYSOHDnC+M5u3rwJGxsbomaby/yEr7mIgYEBkpOTERoairt376KlpYXX6+SxevVqghRzITIyEt988w399+vXr1FbW8vpRjoxMYFr164xtgmFQmzbto3z3FxcXPD+++/jm2++YfhK9Pf348SJE9i3bx9jfScPdsDjp+RkCQDqCZJ/QFi7di2Apag+l8MOBflFC1cPFWUICQmhv3Blix9KKsF+DftYVe3nbY71xw4DAwOkpqbigw8+4CS78/PzyMvLw5dffklH/7nIXHFxMa5cuUIQHnt7exw8eJDzRmf3EGxoaFBZt/AmRA5Y0mmz3QhnZ2cJPTgbFRUVnOYqnp6e2LVrFzHwWVtb4/Dhw1izZg2xcF5YWEBOTg5Onz7NcCpTRubm5uZw/fp1XL9+nVgsSCQSpKWlITk5mTDuEQqFjAi2oaEhkpOT8cknn8DNzY3zXDs6OnDs2DFkZmYS+1tYWIBUKsXo6Chyc3Px+9//Hvfv31dI5IyNjbF582b88pe/RGRkJDGgCwQCeqFgbm6OhIQE/PrXv0ZaWppSF9CZmRmUlJTgyy+/xPHjx1FRUYH5+XnaapvC/Pw8Tp48SSx0Nm7cqFY9iJubGxFgKC4uVtlegA1FRG7Tpk3EmFNZWcnLiOn169e4evUqY5uWlha2b99OfMfT09MK2yVooMG7gjIjCWBpLNi7dy927tzJWYczMzODnJwcfPXVVwT5YUssbWxsIBaL0dnZiRMnTuDixYsK71s/Pz/84he/QHx8PGPcZDvsymeGRCIR3N3dkZaWht/85jdIT0+Hp6en0lKBubk5VFdX4/z58wol+xSWLVuGqqoqnDt3Dp999hn++Z//GUePHsW1a9fw5MkTNDU1fStETh4ymQzt7e3IysrCp59+iuPHj6O4uJjX2GFiYkKUZlCunTKZjHA11tHRIVrDUBgZGUFBQYFSFUN4eDj27dvHmUlUlpkDlpQs7IDZ3NwcMjMzifWNqmuWDywsLLBnzx7s3buXd69XANi1axc2bdrEy83V1dWVOLbHjx8T6xuZTIZr164Rsua4uDilEkhbW1t88MEHBMEfHh7G8ePHFfbnVacp+o8RP1oyl5qaSv9+4sQJzucsLi7Svc2WL1/O6B3CB4aGhti4cSOAJemBIpnklStX6Iza1q1bif9v2bKFXrgpOlYAOHnyJIClhdCWLVvUOtafChwcHPDRRx8hMTGRkxANDQ3h7NmzuHTpEmH9DHDrvD09PbFv3z6Fshh2FnRqakqpO+ibEjkKlNxSHi0tLQrrz54+fYrr168Tg6Gfnx/S09MVDrAikQgxMTH44IMPOJ0Z29vb8eWXX6K8vBwymYwgFxSZ6+/vx7FjxziPz9LSEocPH6bPh12HYmhoyJmFsbCwwO7du7F//36Fk1JtbS1nDdalS5fw+eefo7i4WGGdibW1NdLT0/GLX/wCwcHBNNnlOj72eYtEIvj6+uLAgQP4xS9+gYiICKXmPZ2dnbh+/Tr+8z//E48ePSIswtnRWTs7OyKAoAoCgQAJCQmMY11cXERubi4vCRPVY5GLyCUmJmL16tUICQkhiKi8dTkX5ufnOeXMsbGxcHBwwPLly4n7QSO11OD7Bh8jCYFAAA8PD/z85z9HVFQUZ6agv78fp0+fxqVLl+jAGNv8RF9fHxcvXsTx48cVziuurq74+OOPsXXrVk7yqIzMyYOqx9qxYwd+85vfIDU1FStXrlTbSEQeVH1Zc3Pzt9Jo/U3Q2dlJB++OHj2KJ0+eKDRPAUCoHlpbWzEyMoKKigpi/NmwYQNjfJ+ZmUF5eTlOnjyJzz77jFGvzMa2bdsQFxfH+fnOzc0R5JOLQPn7+xMN2Ht6eogaaz7XLB8sLCxgfn5eLQl9dnY2cnJy0N7erjLQLRAICIfm/v5+htMlABQVFRGyfDc3N15uqebm5jh48CCxrpmYmMDJkyc577OfOpn70cosV69ejcjISDx69Ahff/013n//fULT/Z//+Z90avyXv/wlMRifPHkSH3zwAQDg7//+7/EP//APxPv81V/9FbKzs7GwsICf//znuHLlCiPiNTg4iP/9v/83gCXCeOjQIWIfVlZW2LNnD86cOYPc3FxkZmYiPT2d8ZyMjAw6YrRv3z5efVV+qtDS0kJISAi8vLxw7949lJeXE8+h5CKqEBoaqnCwpWBiYgJLS0tGRKeuro4zM/O2RI7Cpk2b0NbWxthPbm4uXF1dGXLLR48eERI9YEkWkpiYyEuuZm9vj48//hj5+fkM+3xgaYC7efMmp42+VCpFRUUFbt++zZkFDQoKQkJCAoNMsp29VMljnJ2d8dFHH6Gmpgb5+fm8Iq9NTU0K/+fq6oo1a9bAycmJ87Nh71+VtNXU1BSxsbGIjo5GQ0MDysvLFbpjzs7O4tmzZyqPf+PGjW8kMzQ1NUVYWBgjkt7S0oKmpia4u7srfJ1MJsODBw84Ax2JiYn05GlkZAQvLy9GK4SnT58iLCyM8/6RyWS4efMmEX328fGhjV0EAgGsra0Z2Yvu7u7/MTJyDX544DI/UWQkASwFd9atW4eAgADcvXuX6BMJLM1Hzc3NWL16NUHmlJVoWFlZITY2VmXLDvbxDQwMYG5uTumCVFtbmyYKU1NTaGhoQE1NDdrb29VuTq4Oli9fDnNzc8Zj2bJlOH78uEoySK3RlLkjd3d3o7u7G3l5ebC0tISXlxc8PT0ZWS9PT09kZWUxgkxPnz5FVVUVY19mZmYIDg6GVCrFixcvUFVVhcbGRs75jguKJH0AGcQTCAQKCVRiYiK6uroYAeqSkhI4OzvD3d1dLfMTLkilUrS2ttJSXHVb/IyOjqKkpAQlJSXQ09ODu7s7PDw84OLiwhlM9vDwgLm5OeMzePToEV0P393dTbSFMDAwQEpKCu+5cfny5fjggw/wzTffMMxTZmZmcObMGezcuROurq70dk3N3A8Yn332GdasWYPp6WnExcXhb/7mbxAVFYXp6WlcuHABR44cAbDE9n/961+/0XtER0dj165duHDhAm7cuIHY2Fj86le/go2NDaqrq/FP//RP9OD9r//6rwpv7n/6p39CTk4OBgYGsHv3bjx79oyW2926dQv/+Z//CWAp4vB//+//faNj/alBX18fycnJCAwMRFZWFmcvGmWIi4tTWbRNwdPTk0HmGhoakJCQwBhYFBE5W1tb7N27lzeRA5YKvZOSkhh1UJTc8r333gOw5PD05MkT4rURERGIiYlRixBIJBJs2rQJHh4euH79OkFqWlpaCB391NQUrl+/zrmv5ORkziJt9iJJFVkCliY5X19feHp64unTp3j06JFaDdQFAgG8vb0RERGhMlrJPj6+jXaFQiFt7f/69Ws8f/4cz58/V9kQlo2VK1cqdGflg3Xr1qGqqoozCMA1qVIZOfkaEgqbN28mTJ3CwsIYZG50dBQNDQ2c7nKlpaVEGwILCwskJyczrk02mdNk5jT4PsG+/kQiEa8sxbJly7Bt2zYEBwcjJyeHcN9bWFhQKVmksHz5ckRHR/Nud2BtbQ2BQECTMJlMhp6eHqVScHno6ekhMDAQgYGBmJiYQF1dHWpqalT2p1UGY2NjgrSZmZlxEswbN24QRG7Dhg0oLy9njMnGxsY4ePAgWltbUV9fj8bGRqUun319fejr68P9+/dhZmYGT09PeHl5wdLSEj4+PowSnKKiIuL1fn5+NEFXdywHgOvXr+Pw4cOcYy87yGViYqJQRSORSLB9+3YcPXqUUd5w7do1fPLJJxgbG1Pb/IRy6qZMctSZU5VhamqKnv8kEglWrlwJDw8PrFy5kiZIAoEAa9euZcjvu7u70draCnt7e87a/7S0NF7tq+RhYGCA999/H+fPn2cEUebn53Hu3DmkpaXB29sbwE+/Zu5HTeZWrVqFixcvYu/evRgbG8Pf/M3fEM9xc3PD7du31SqgZeP48eMYGxtDVlYW7t+/T6TdtbS08Ld/+7f4+OOPFe7D3t4eN2/eRGpqKnp7e/G73/0Ov/vd7xjPsbKywrVr134UPePeJWxtbXHo0CE8f/4cN2/e5PWakJAQtZqke3p6MnTxY2Nj6O7upuUt3yaRo+Du7g4/Pz9GtLClpQXPnz9Hb28vSktLiddER0dj7dq1b2wg4ezsjJ/97Gd06wd1YWVlhfT0dIUW1epm5uQhEokQERFBF7CzHa64nr9q1SqEh4crjZDK403IJhsmJibYuHEjNmzYgKamJpSXl/MuKG9ubsbVq1dhZ2cHe3t7WFhYqCWB0tbWRmxsLGOSHB4eRmFhIdatW8d4rkwmw7179/D48WNiP0lJSQgKCiK229nZwdbWliHjKi4uJsgcJXtiHxvV80ce7AhyT0+PxgRFg+8N7KAgZX7CF1Qfr2fPnjGckPlAV1cX69atQ3BwMK/6IwpisRiWlpYMAvnq1SveZE4eBgYGcHd352x0rQhmZmZwd3eHhYUFTdr4mm80NTURc42DgwMiIyOxfPlyhgFGf38/6urqsGrVKnh6emJhYYEmdg0NDUoJyeDgIB49eoRHjx7B2NiYVz9LLtULG8raQAwMDODBgweIiYkh/qeqXo4NS0tLJCQk4Pbt2/S2mZkZXL58mVAyKDI/kclk6OjooAncmxBUdTA3N4fa2lrU1tZCKBTCxcUFHh4etLnOgwcPGPWU1HfDlsiuWbMGzs7Ob3QMOjo62Lt3LzIyMtDc3ExvX1xcRGZmJmZmZhAUFKTJzP3QkZycjKqqKnz22We4ffs2urq6IJFIsGLFCmzfvh2/+MUv1Gb7bOjq6uL27ds4d+4cTp48icrKSoyMjMDS0hKRkZH4xS9+wSsDFBoaiurqanz22We4du0abf/r7OyMlJQU/OpXv3qjPi4/ZYyPj6O9vZ1+8EVpaSkqKirg4OAAJycnODs7w9raWuGkbW5uTvSSqa+vh62tLQYHB3Hy5EliYHwbIkeBcreUJ4mKCCvlsjYzM0Pr3qmf8r/z2cZXRiKP4OBgxMfHK12EvA2Zo0DJOFSROR8fH6KOTBXUlVkqg1AohKenJzw9PTEyMoL8/HxOCRYbVVVVNIGXSCSwtbWFvb097OzsYGdnp7Jfjq+vL8rKyhiRyEePHsHf35/ONMpkMoWZXUVEjkJoaCiuXLlC/93Z2YlXr17RgY2JiQlkZGQQkVVFLS/Y2dKpqSmMjY3xzopqoMG3CXWNJGQyGUZGRjAwMID+/n76oa75kJOTE3bu3PnG84WNjQ2DzKmrVAH+lD189OiRWnPA2NgYLC0tOR0JlWFycpJoPi6RSJCamgotLS34+vqiqKiIoYq5f/8+fHx8IBaLIRKJ4ObmBjc3NyQlJaG9vR11dXVoaGggjDPkMTw8/FamLFpaWnBzc4Ofnx9WrlyJr7/+msjEUigsLISHhwcRhGfLLFWROWCpdKGtrY3httnZ2UlkUOWvWZlMhlevXqGmpgZ1dXWcTcy54OjoCG9vbzx9+lTptbxp0yZapqvIXARYknJSbTBu3boFBwcHgnBSbtDysLW1VdvPgg2xWIydO3fi2rVrxBx869YtTE9Pa2rmfgxwdHTEp59+ik8//VSt1x04cAAHDhzg/fz33nuPlsC9KczMzPCP//iP+Md//Me32s9PFZOTk2hvb0dbWxva29s5TU74Yn5+Hi9evKCLbLW1teHk5ESTOwsLCzo7IBAI4OnpyVj81tfXw9/fH6dOnfpWidzCwgImJiboh7W1NSOipAg5OTkMm/d3BYlEgi1bttByBWV428yXTCZDcXEx7t69q/K5FRUVGBkZwbZt22BgYMBr/28qs1SGzs5OFBYWqmxfwoW5uTm6OTkFc3NzOnNnb28PU1NTRhZLIBBg06ZNOHLkCC29WVhYwJ07d7B9+3alRI6SLSuDl5cX7t69y1gUlJSUIC0tDVKpFJmZmcSCYe3atQpNXYyNjaGtrc2QuXR3d2vInAbfC9hkjsocy2QyTExMMAgbReCU1XDxRXt7O06cOIHAwED4+fmpDNqwYWtry6gfV2SCwgWqJUJubu4bmZjMzc3hypUraG9vR0JCAq+snEwmw+3bt4m5Mz4+nlZSaGlpISYmhmFlPz4+jpKSEoYLOLAUPHN1daXbMXR0dNDEji+BUQVbW1v4+/vD29ubTgIsLi4qJTsymYyWW8p/LsraEiiCQCBAcnIyuru7lX5P1tbW6OnpQU1NDWpra3k7BNvZ2cHb2xteXl5YtmwZ+vr6kJWVpfQ1LS0teO+997BhwwYMDw/TWVJlEl2ZTMYr80s5YStzXuULoVCItLQ06OjoELXr7Po86r1/SvhJkDkNfryYmppCd3c3Td64GlF/W5idnUVjYyPtqqSnp0cTO2dnZ4LMvX79Gl988QWxHy4iJ5PJMDMzQxO08fFxBmGT3/5tadffFZKTk3kROZlM9laZubm5Ody4cYNRs6UK7e3t+Oqrr7B9+3aiMS8bi4uL34rMEvjT4qgrsBxCAAEAAElEQVSwsPCt6k64QPVtoqRJOjo6dObO3t4etra2sLKyQmBgIKMmpK6uDm1tbWhpaeGs3dmyZQuv3nZUnyt5CVJtbS1iY2NRWFhITNIuLi5KI6uUCYp8Zv3mzZsaExQN3jmGh4eJhW95eTmeP3+O/v7+73xs7u/vR05ODu7evQtvb28EBgbCwcGBl+SY7Wg5MjLCq7n24OAgcnJyCOdACrq6ukQLEl9fX/T09BAkpry8HF1dXUhPT1eZaaqqqiJMytzc3IgxyNXVFc7OzoyA1uPHjxEYGKhQVaWlpUUHZjdt2oSuri7U1dWhvr5e7dYnRkZG8PPzg5+fH2ft5PDwMJHFDA0NRUlJCf334OAg7t+/j7i4OABL8kj2XMO3FYCOjg7S09Nx/Phxhc6R6gR1ra2t6XpvtvRU/hyAJQluREQE7ty5Q29rbm5Gf38/LCwsYGxsjIiICERERGBiYgINDQ1oaGhAW1ubSpdLLszNzeHq1avQ1taGRCKBtrY2xGIx42+JRML4nb1NnggKBAIkJiZCV1eXs05cHhqZpQYavCG4opuUSY060NHRoQfyvr4+Qo/PlksqwtTUFOrq6mhJA1/i4eDggPz8fIK4cTXZ/ing9u3bMDc3V9r7BVgiy+zvmC9ZohqG8yHzWlpajIljYmICp06dQmxsLEJDQxUujCYmJggXN3WzQ/Pz86isrERRURGva4wLhoaGEIlEvGVAMzMztHwFWJqwLC0tORceVCsWNvgSOQpBQUEoKCigFzGLi4s4efIkcc5GRkbYtm0b0TJhZGQEr1+/xtDQEIaGhgiJNJ/+dRpo8G3j888/J7a9bTDGwMCAqKVWBalUSsutTU1NERgYCH9/f6XEjKqTkh9jX716pbBf5+zsLB4+fIiSkhLOhbZAIEBQUBCioqLw+eefMzLnPj4+SEpKQnZ2NtGSpr+/H0ePHkViYiICAgI433t0dJSoJ9TV1SXMkajjiImJwdGjRxnH/ujRI8THx3Pun/16SsUQFxeHnp4eVFdXq5Tpr1q1Cn5+fnB0dFRKptlzkp6eHuLi4tDZ2cmQuhYVFcHT0xP29vbEa7S0tNQqobG1tUVMTAyDVKkDCwsLeHt7w8fHh7MtEbC0/mEbWAUFBSEoKAiPHj1ijNFFRUVISUlhPNfAwADBwcEIDg7GzMwMmpqa0NDQgJaWFrUy2YpafvGFUCgkCB+frJu6jp4/dGjInAbvDMoapiuDtrY2HB0daQJnaWlJLx4nJydRUVHBWKSvX78eK1aswMuXL2kJG5/6Br5SDS5XrO8TIpGIri+Q/8neJr9dJpPxdl6jrH4/+OADpRMSOxIJ8CPIjY2NuHr1Kufgyi4+pybsjIwMxvtRPde6urqwZcsWzsGcfXxaWloqo9oUpqamUFpaiqdPnyqt1aAmE2XXkr6+Pg4fPkz3M+zs7ERXVxe6u7t51bHIZDL09vYqrOFgIygoCDY2NhgeHqYnOpFIpHQBo6enBz8/P4asi4u8hoSEoL6+niZtr1+/xuvXr3lFaTUmKBq8S7xtsE1HRwcWFhaMh7m5Oebm5vCHP/xB6f6NjY0VBm+GhoZw9+5d5Ofnw9PTE4GBgXB2dibuDS0tLdjY2DAy41xkTiaToaqqCnl5eQpJpoODAzZt2gQrKyuMjo4SY6+FhQUkEglSUlLg5OSE27dvMxbo8/PzuH79Otra2rB582bGeEvJDtn7TEpKUiiHt7GxgY+PD6Pe6enTp1i9ejVvcytgidgZGhqqJAiGhobYtGkTL7ko28iEMq1KTU3FV199xek+yeVkqY6UcGBgQG2yYWpqShM4PvV5z58/Z8w3WlpaCAoKgkQiQUhICKOVTVVVFaKiohQGZ3V0dOjsJlXewlVX/V1AKpVienpa7QBhV1cXVq5c+R0d1buHhsxp8M7AN60tFosZ5E2ZcYm+vj5WrFjBqDmrqqqCn58fbU4B/MlIhSJ331fzU3kIhUKVC4zg4GB4e3srJWjqLoj7+/uRkZGh1msmJydx+vRpfPDBBwpdwtgERldXV6lZyuLiIh48eMAph9DW1kZaWhpevnzJIJ3Lli2DnZ0dDh8+jCtXrhA932pra9Hf348dO3YQmSsu8xNVn93w8DCKioqIiY+NZcuWISwsDIGBgZw1ZfLo7e1FVVUV/P394eHhQdeaSaVS9Pb20gSvs7PzW6kFKSsrY8gxKUgkEojFYprgUQ9qGx+5EruxrTpoaWn5SU2mGvywwVd+JxaLaaImT9wMDAw4x4vs7Gyl47hIJMLHH3+MV69eoby8HPX19ZyL3MXFRdoZ0NjYGKtWrUJAQAAjIMYmc2wTlJ6eHmRlZSkkM4aGhoiNjWW0RGCbWmhrazMUC/7+/rC1tUVmZibx3KqqKrx69Qrbt2+nlRslJSUMySSw1AKAq72JPKKjo1FXV0d/NouLi7h//z7S0tKUvk4e3d3duHDhgspxc3x8HPfu3eOV+VNkZGJubo4NGzYw6rFev36Ne/fuEQoQPhLLgYEB1NbWoq6ujne5yfLly2kCZ2lpyXstsLi4SLhle3t709fa6tWrUVhYyFBmlJSUIDY2ltd5FBYWvhMi9zYoKCh4a+OVHxI0ZE6DdwY+kab4+HiEhISoFcXy9fVlkDnKHVI+CmhoaAhfX1/ajWt4eJhB7tSVySiDjo4ODA0NYWBgQDzktxcWFnLaxstjYWHhrfqSyUMmk6GiogJZWVkqM0ASiQSWlpYMCdLY2BhN6LgyburUo01NTeHKlSucdRwWFhbYuXMnTExMCGcq6n319fWxZ88eTjI4MDCAo0ePIiUlhbGAUMf85NWrVygsLER9fb3SBruWlpaIiIiAt7c3hEIhJicniXNKTU3FkydPGBP0vXv34OXlxYgMC4VC2NrawtbWFmFhYQCWFqBU5q6zsxO9vb3f2iQ5NzeHubm579y+WhEqKio0ZE6DdwZFcjMKK1euRGJiIoyMjHgviru6uogxytfXF7W1tfR9urCwgObmZvj4+MDFxQWTk5OorKxEeXm5QoOv4eFh3Lt3D/fv34e7uzsCAwPh6upK1M29evUKMpkM09PTyM/PZ2TS5aGlpYXw8HCsW7eOUC1wZZ7Y529mZoYPP/wQd+7cIcwlhoaGcPToUSQkJMDR0ZEwm1i2bBk2bdrEeVzyMDY2RkhICKOOq7q6GuHh4SodRwGgpqYG169f5+3SSbVcsbe3V/o8Za6UERERaGhoIFq5sNcvijJlb0Lg5LFnzx5ePRLZaGxsJIIb8q2c9PX14e/vzwgClpWVYd26dQqD8hMTE7h3755aLY/8/f1hZ2dHz0Wzs7P07/J/s7d/G6D6PP9UoCFzGrwzxMbGEhMBG7m5uXj58iWio6N5SQUAwMPDAxKJhL7JZTIZampq6AUxF4yNjenop0wmQ0lJCdE3SxHc3Nw4yRn14NM/6NGjRwSREwgEcHBwYEReGxsbsbi4qJb9Phfm5uZw+/ZtRk87CvKfHQV3d3ckJibizJkzjOjv8PAwzpw5gwMHDhDF6XzNT3p6enDp0iXO7Kivry+SkpLoBYcygqilpYXo6GjY2toSMs25uTlkZGQgLCwMMTExEAqFKtsSyGQyNDU1oaioSKUTl4uLCyIiIuDi4sJY+NTV1THIn1gshqenJ/T09HDu3Dl6+9jYGIqLixEZGan0fYyMjGBkZEQ3aJ+fn0d3dzeD4CmTfX6f0NHRgampKUxMTGBqasro4wjgjRYhGmjwplB1nzQ3N6O0tJSzZxgXZDIZMWfo6OggISEBU1NTjKBOXV0dfQ/r6+sjIiIC4eHh6OjoQHl5Oerq6jhJiEwmo00mjIyMiF5c09PTuHPnDioqKhSat6xcuRLx8fEKJfLsbJuiLJJYLMbmzZvh5OSEmzdvMsZbqVTK6I8mj5SUFN6uz+vWrUNFRQVj33fv3sW+ffsUEmxl/TRV4caNG/j4448VztlcTpby6xJKbvnHP/6RkZ1lZ2rlP9O3JXDyOH78OHbu3Kl2v8GnT58y/raxsSECBREREQwyNzs7i7KyMkRERDCeJ5VKUVJSgoKCAoUBexcXF8TExODChQuMOb2/vx8pKSlqqYtkMplKwkf9XlxcrPCYVLk6/9igIXMavDNIJBIYGRmplLs0NDSgsbER/v7+2LBhg0qTCmrBXFlZSW+rqqpSSubkUV9fz8sKH1giXI6OjggPD3/jep/i4mLOZqVbt26Fvb09PvvsM3rb9PQ0Ojo63io7R8kqueoGrayssG3bNhw7dowx6Lm4uEBHRwd79uzBqVOnGNHbgYEBnD17Fvv372dM0mzixUXmKioqcPv2bWLhoqWlhbi4OKxevZrxufLJ9rm7u+Pw4cO4dOkSsTApLi5Gd3c30tPTFe5rYWEBVVVVKCoqUlpbqaWlBR8fH4SHh8PKyorzOeyCcnd3d7rvpSLHNr51e8CfJMjU5D09PY1/+7d/4/367wIWFhYwMzOjSRtF4PT09Bjf5ezsLKPelG0Rr4EG3yX4XG+FhYUYHR1FamqqyqBcTU0NIWdct24d9PT04OXlxSBzzc3NmJubY2TFqLnE0dERCQkJqKqqQnl5OZEpozA6OkqYkQBQaPRhbGyMhIQEhQYpFNjvp8roytvbG9bW1sjMzFT5mfr6+sLFxUXpc+Shp6eHtWvXMrJ7bW1tePHiBVasWEE8f3Z2FleuXEFTUxPxP0dHR3h4eCgN0g4ODips+g0sySaVETNgKSgVHR2tdA0hEAjw4MEDtQicoaGhSrno9PQ0zpw5g9TUVDpYoAp9fX2EIRV73gWWMtmenp4MR9Li4mKEhobSmcfm5mbk5uYqzDAbGxsjPj4ebm5uEAgE2LBhA6PvYE9PD+rr61VKcOUhEAigra2tsmynqalJYRZPW1v7J1evrSFzGrxTWFtbM8gctaBmL7QpSWB1dTVCQkIQGRmptPm7r68vg8z19PRgYGBAZXavoqICN27cIKR07u7uWLNmDa5du8YwfpDJZLh79y66u7sVGm0oQ1lZGefkkpycTEtAraysGOYW9fX1b0TmVMkqQ0JCaPcvdvTK1dUVwNLkum/fPpw4cYLxOfT09ODcuXPYu3cv/RmwJx554rWwsICcnBzO2i0DAwPO1gLqtDowMTHBhx9+iKysLGLB09HRgSNHjhBSWolEgkePHqGkpESp1FAikSAoKAihoaFKAwsjIyOEMx71nQoEAsTGxjLcW+fm5vDgwQNs3rxZ4T5VgY8Zj6GhIQ4cOAADAwPMz88zopqq/laVSQeW6jbi4uJUBl3YUqnu7m6NCYoG7wxc/eVWrFjBMHoAlupux8fHsXPnToVzzvz8PCEnNDExoaVqHh4euHXrFqMPZHNzs8IWL7q6uggNDcXq1avx6tUrlJWVoba29o3624nFYkRGRiI8PFwlIZVKpUQASxWZA5bO9eDBg8jLyyPs7eVRXV2Nnp4eODg4wMHBAY6OjgprrimEhobi6dOnjLE/Ly8PLi4uDIXK8PAwzp8/z0mOgoODkZCQQIyPzs7OmJ2dZahNCgsL4enpSWSmAFJiqa+vz3lNhIWFob6+XmGt4qVLlxScLROGhobw9PSkCfN//Md/MAjJhg0b0NjYyLiWpVIpLl++jJGREaxZs0bleMrOyunr6yu8LiMiIhhkbnx8HNXV1bCzs8OdO3cU9seVSCSIjIxEWFgY4xr09/fHkydPGOTv/v378PDweGv1kTy6u7uRmZmpsETip9aWANCQOQ3eMdhuVq6urkhMTERpaSlhhwssDVTFxcUoLy+npSlcBMrZ2ZmwiK6urkZ0dLTCYykpKeHs1+Lr64uUlBQIhUJ89NFHuHr1KhH5o4w2du7cydtyuKqqCrdu3SK2JyQkMFL+Hh4eDDLX2NiIhIQEtRa9c3NzyMrKYhBcCuwm4GwTEXNzcwZpMjAwwP79+3HixAkGEe/s7MTFixexe/duiEQihcRrbGwMly5d4mxya29vj+3bt3OStOnpaYKEKqvDE4vF2LJlC+zs7AhTAq6ayPv37yvcF3X8oaGhCAoK4iUTYtfO6Orq0qQYWCIz/v7+jO+krKwMoaGhbyQ5nJqaIhZSK1asoHs3UhgfH8epU6dw4MABGBsbq5UJbGtrUxh1pdDU1IT29nZs3LgRISEhCq9TqjkzhcnJSYyPj79xrz8NNFAHXGQuKioKy5cvx61btxi1qB0dHTh+/Dj27NnD6aZYXFxMKExiY2PpjIWenh6cnZ0ZY2tdXZ3Kfp0CgQB2dnaws7NDQkICqqurUV5ezjuL7ePjg9jYWN731ODgIFGDy7cfmkgkgp+fn1IyR73H4OAgXc+3bNkyBrkzNzdnjBlisRhRUVGMDE5fXx+qq6vh7+8PYGlcysjIINYLWlpaSEhIQEhICADuOunw8HB89dVX9HnLN/1mk1921lJRcJiSW/7hD39Q+llwQZ7A2dvb058FV2YpKCgI4eHhuHz5MrEmyc/Px8jICBITExUSo+npaaLUIigoSCHpt7Ozg6OjI6Ps4Pr160rPx9/fHxs3buSc07W0tBAVFYXMzEx62+DgICorK9VqnaMMw8PDOHfunNJAyE+tYTgAfHtUWAMNeIB9g09MTEAkEiE8PBx/8Rd/gcjISE67YCqL8fnnn6OkpISQPlASOHlUV1dzRmZkMhkKCgo4iVxQUBC2bt1KT8o6OjrYtWsXNmzYQDyXMtqgmpArQ11dHa5du0Zs37hxI0JDQxnb2M2UR0dH1ZKkUX2AuIiclZUVPv74Y8aigm3YIU9AKBgZGWHfvn0EEWhtbUVmZiakUimnjLG9vR1HjhzhJHKrV6/G+++/rzDbxiUxUdXqgOqddPDgQbV7yFGwsLBASkoKfvnLX2LNmjW86z3YEksvLy+iED4qKooxccpksjd2hCwqKiIm+7i4OOzdu5fIgo2NjeHUqVNqubiOjY0RRG7nzp2csq25uTlkZ2fjxIkTCmVEJiYmxCSqkVpq8K7Adn6k7pFVq1bhvffeI67NoaEhHDt2jMi2TExMEPVZTk5OcHd3Z2xjS8eam5vVyrRpa2sjODgYhw8fxsGDB1U+39XVFWlpaWoFR9iydCMjI17jnUwm+//Ze++oqNI1XfwpiiLnKDnnpCAISFZUQEFFFGO3bWt3n5l7pmfdO3fdP+6su9Zv5s7MPXPOpD7ndLetdptFxEgygaKAooiSo+ScJMeq+v3B2vvU3t+uql3YfTqcetaqpWyKint/3/u87/M+L549e4bTp0/zfi4Kk5OTqK2tRX5+Pr788kv867/+Ky5fvozS0lL09PRALBYjKCiIIJVFRUVYXl7GixcvcP78eYLI6erq4vDhwzSRo55LFkZGRrCyskJsbCzj+PDwMFGhpY7LQpHSR5nBjiwMDQ0RFhaGo0eP4m//9m+RlJREDI9nD1x3dHSEgYEBtLS0sG/fPsb7pFBZWYnLly/L7RPjGkewfv16ha+V3SMnD3Z2djh27Bh27typcJ/29fUl9qfHjx/zNq5RhNnZWVy4cEGpqdcvsTKnJnNq/FnBvshlA3YdHR0kJCTg17/+NUJDQzmzSzMzMygsLMTvf/97VFdXM7KKgYGBjPtyyd6o4JmrKhMZGYmUlBTOoaaxsbE4cOAAsdEtLCzgypUrKC4ullvSb2lpQU5ODvH7mJgYREVFEfe3tLQkNobGxkbOx2ajqqoK33zzDWfv1/r163Hs2DHGYy8sLBDBirweB3Nzcxw5cgS6urqM401NTbh+/TqxgNbV1eHcuXPEcU1NTezatQtJSUkKXUvZG7G+vj5vl1NbW1ucOHGCk5jKg4uLCw4ePIhPP/0Ua9euVclRdXBwkMjiUhJLWRgbGxO9nE1NTUQPgzLMzs4ScpmAgABYWlrSQQ27r29iYgJnz57lbdHOrtjq6OjA09MTmZmZ2LNnD2eFr7u7G1999RUePXpEbM4CgYBTaqmGGj805ubmiESGbKXYzc0NH330EbE/zc7O4uzZs4z1t6ioiDOJwt43vL29GceWlpbkytIUYXBwUK65iCza2tpw584dlebpsckcH4nl7Owsrly5grt3734vzrpzc3Nobm7GgwcPcPr0afzLv/wLzp8/T1SLJicn8X//7/9Ffn4+p/X/8ePHiXYEeX3SGzduJNbHp0+fEsklNpmTV7Wcn5/H9evXFb5PPgSOgkQiIZLE1AgbYIWEJSUlcY4KaG1txXfffUckQ7nGEfj6+solXpOTkygrK1OqYDEwMMDOnTtx7Ngx2NvbK7wvsLIPsBVTExMTnC0YqmBpaQmXL18m5qFS5iuyUFfm1FDjPaGIzFEwMDBAcnIy/vqv/5ogaBTevXuHGzdu4Ouvv0ZzczOkUinWrFlDyNVkJQUSiQR5eXmcw7ITEhKwefNmhVJGDw8PHD9+nHNBLykpweXLl4lsYXt7O7KysohNLzw8nLPaB6wsduwsrzIyt7i4iJs3b+L27dtEEK2lpYU9e/YgJSWF2CDb29sZG6NQKFTojGVlZcXok6NQX19P3PfNmzfEpmtqaopjx47J/V5locqoAy5oampy9kGw4e3tjePHj+PIkSNwd3dfVQ8XW2JJSYm4EBUVRfRd3L9/X+EIBDbKysoYAaVAIEBMTAz9M0Xo2MHZu3fvcPbsWc4B72ywZ0W5uLhAQ0MDAoEAfn5++Ku/+itOaYxEIsHjx49x8uRJIpnCJnN8B5+rocb7gB2kC4VCospibW2Njz/+mLhmlpeXkZWVhefPn2NgYICwXl+7di2ndb6+vj5BLrjWSXmQSqUoLy/HN998Q5AueaiqqsKlS5d4D5zmGkugCJ2dnfjqq684DUe4KlN+fn5ITEyEl5cXkQSUh+XlZXR0dPBO9Hh5eeGjjz7ilMPK20OEQiHS0tIYCWNKbkmRYa5+Qq7KXE9PD77++mtiD2CDSmDKI3Cy6OrqImIJtmJHIBAgMjISGRkZROJxYGAAp06dYny/zc3NREJDdhwBsJIsf/HiBb799lv8+7//O+7fv690jba1tWXIQ/nAzc2NiDNKSkpWPXZAIpHg+vXrRGLa2toae/fu5YyJfmlQkzk1/qxg98zNzMzIze6Zmppi165d+PTTT+XOoxoaGsLly5fx3Xffobu7myAJdXV1EIvFEIvFuHnzJmf2JykpCdHR0bwWI8pog8s5qqWlhbHxdnd34/Lly0SmNCQkhDOTKwv2wj08PCy3d0lVWaUs2NUXBwcHpQudra0tDhw4wGsEgywoMizPCZKN1ZI5iUSCqqoqfPHFF5zSGTYUOVjygVQqJSSWskN52dDW1iaIfF9fn9JggMLMzAxnVY6dyKDMa9gB2vj4OM6ePavQKU0qlRLnBtsWXVdXF6mpqThy5AhnIDc8PIwzZ84gPz+fDi7ZfXPqypwafw6wyZy1tTVn5d3IyAhHjx7lVCcUFhbi66+/ZhwTiUQK+7LZUsvm5mZeUsuJiQmcO3cO9+7dU6nSBqys6WfOnOFVgedbmaMSNPLWjY0bN+JXv/oVoUbo7+9HREQEMjMz8Xd/93f41a9+hZSUFAQEBKxaBi+L6Oho7Nu3j1M2JxaLCVWI7B6yZs0aQhkzODhIS2jHx8cV9hNKpVI8ffoU3377LS/5ek5ODq8kGkBKLNesWSPXOMbX1xcffPABQZYnJydx5swZeh1n7xk2Njawt7fH/Pw8Xr9+jQsXLuB3v/sd8vPz0dXVxet1Aivn9O9//3vcvn2bt+pDIBBg06ZNjGOzs7NynVkVQSqVorCwkEh4GxkZ4cCBA9DW1iZIolpmqYYa7wmukr6ygd3W1tY4cOAAPvzwQ7kDPru6uvDtt98SAfH8/DwaGhpw9epVIuAWCARIS0sjslPKoKWlhd27d3MSsvHxcZw+fRrZ2dk4c+YMsXEHBQVxSjnZsLe3J4gve4EHVtw4VZFVssEO2PnaSDs5OSEzM5O3FDE2Nhb79+/nnZ0F+M+tk0VbWxu+/vpr3L59m/cg+JGREZw+fRqPHz9WOXACVjKz7E2MS2Ipi+DgYMI45+HDh7z6BsrKyhjnFbsqJwt9fX0cOXKEyCiPjY0pJHQjIyPE5yfv3HBxccGnn34q10ntxYsX+MMf/oCmpiaigjE9Pa3UflsNNd4XbDKnaAi1trY2Dhw4gLVr1yp93KioKIXrko+Pj8pSy5qaGnz55Zec0msrKyuioqGnp8dp3HHq1CmFPalzc3PEtcdVmZuamsL58+fx6NEjQj2gr6+PQ4cO0bM8Q0JCGL8fGxuj34dAIIClpSXWr1+P3bt34/PPP8fnn3+OXbt2ISQkhPdcWQrp6elISEiQu5dyrSvshGBMTAzxnktKSjhl8wYGBvT+NT09jQsXLuDhw4e8paYzMzPIzs5WusZTswVlwU7usuHg4MC51y8sLODixYu4f/8+obQwMDDA1atX8dvf/ha3bt1CW1ubSuoQ9mumEqgFBQW89l4HBwei/7qsrIyoSCpDeXk5IR/V1tbGwYMH6e+bXalWV+bUUOM9oaenR/TC8Q3mnJyccPToUezfv1+uHIRrRg+X85OGhgYyMjJ4bdjAymK1vLyM2dlZTExMYGRkBI6OjpxB9NLSEqecxtfXF6mpqbwqgMqklpSs8tatWyrJKmXx7t07otrHt8dMKpVCT0+PV48FZSCjqnxRlcrc4OAgLly4gAsXLsid06QIEokEjx49wpkzZ1Su1LGTBBYWFko/F6FQSOj4JyYmlDrDUTIYWQQGBip0VKUIHbtyNzo6inPnznFuvGySb2RkpDApIBKJsHnzZpw4cYIzUJ6amqJ7S9lQm6Co8UNDnvkJF+bm5tDZ2cnLpVhPT0+hpJFLasmVlKOeNycnB9evX+d8zIiICBw/fpyo0AQGBuLDDz8kelinp6fx7bffyiWP7KqcUCgk3nNrayu++uorTmJJJXFk9wxHR0eClCkab2JsbIzAwEBs374dv/rVr/B3f/d32LdvH68ZscrWWPb+IRKJiJ53Sm4puzdJJBLcunWL+Hyo99XS0oIvv/ySWCP5oKenh9N4TRZ9fX3Ea5ftl5MHc3Nzzr41iUTC2VrS0tKCxsZGhQlMVStYYrEYFRUV+K//+i88ePBAKTGLj49n/LywsKDS8Pfa2lpivp9QKERmZiYjRmRX5n6JZE49mkCNPysEAgEMDAwYixXfCgr1956ennB3d0dNTQ0ePXqkkkMfBScnJwwMDKCrqwtLS0uM+VrU/9nHVpu1ojA5OYnCwkJYWVnBysqKNquQB29vb4YstLe3F5OTk1hYWEB2djana+CaNWuQkZHBy1mLvRnp6uoqDHLm5+fR1taG1tZWtLa28v7e8vLy0NnZiaCgIF7kjwKfytzU1BSKioo4h+lScHNzg7W1NWNDEwqFsLKyIohEX18fvv76a2zevJlzkCobYrEYdXV1jGMBAQG8iKuXlxdh+/zkyROsW7dO7nyr0tJS3lU5WVDjJc6ePcsg8CMjIzh37hw++OADRjDI1S/H5z2tWbMGH3/8MZ49e4bi4mIi0cCV5Ojr61M62FgNNVaL+fl5jI+PM45Rct/5+Xn09/ejr6+P/pd9X0XIy8vD3bt34eXlhYCAALi7uxNqBV9fX8b11NTUhKWlJYZr89u3b3Hr1i1OGZ6RkRF27dpFk0IuyRjlJHjp0iVGMooyhUhKSiLcD9lJLwsLC/q1i8ViFBUVcZIAgUCA+Ph4bNy4kUjMUm7CsoSlsbERU1NTvJQVenp6cHV1JezzuZCVlYXjx4/LJRxcyUCuNczW1hYbN25kkIj+/n5ibzAzM8Pdu3flSgFjYmLQ2dnJWM/DwsLQ0tLCOKcqKythZ2cn14qfXZUzNzfnXbXU09PDkSNHcPPmTZX6M2WhqakJLy8v+Pv7w9raGl988YXKsc/S0hJKS0vx8uVLREREIDw8nPN7WrNmDfz9/RmKqoqKCoSHhys9Xzo6Ojgdwnfu3EkkUNRkTg01fgAYGhoyFtrVyKw0NDQQFBQEPz8/VFZWoqSkBLOzs7z/vr29nQhYf2j09PQQDbqGhoY0uaNuFhYW0NLSgouLC7S1tRlZ2qtXr2JoaIiz72L9+vXYunUr71429kgCV1dXxmYnlUoxNDSElpYWtLa2oqura1WEdmpqCuXl5SgvL4e1tTUCAwMREBCgdLFWVJlbXFxEaWkpysvL5fagWFtbIzExEW5ubkSvpI2NDT788EM8efIEJSUljPdFDThvampCWlqawt6O9vZ24rzj6qfkAjVI/NSpU/SxhYUFlJSUYNu2bcT9p6eniapcUFAQb0tsQ0NDmtDJOn4NDw/ThE5PTw8SiYTIxPOV3wIr12ZkZCR8fHyQm5urNIP96tUruWZAaqjxvuCq/D558gSDg4OE891qsLy8jLq6OtTV1UFXVxe+vr4IDAykTSG8vb0ZDoxLS0tobW2Fj48PlpeX8fDhQ7kEISAgAMnJyYyKErtqRwXJpqam+Oijj5CVlcUgFFKpFPn5+RgfH0diYiK9xsvrlxsfH0dOTg7nOBkjIyOkp6fLNXcCVtakBw8e0IkcqoeZT9Lp3bt3uHLlCi/Dl9HRUdy8eRN79+7lJGmqKDtiY2PR2NioUJUhz23R0NAQu3fvhpOTE37zm98wfufi4oLg4GCcOnWKkdjKy8uDtbU10UMslUqJyi3bFVUZRCIRUlJS0NzczNvuX0NDA+7u7vD394eXlxdNdth7IxdCQkKgoaGByspKQnK6sLCAR48e4fnz54iKikJoaCgxeiouLg51dXX08ywvL6OkpAQpKSlyn3NoaAhXrlwhqoqJiYmc+6+8a+aXBDWZU+PPDj6OlnyhqamJDRs2YO3atXj27Bnh8vdTx9TUFKampghiZWpqCisrK2IR4tpgtbS0sGPHDt4kAljZYNlk1tXVFQsLC2hvb6cJHN+Gbb4YHBzE/fv38eDBA7i4uCAwMBA+Pj5EpmxxcRHz8/OMY0ZGRnRgUFxcLHeWjKGhIeLj4xEUFERnjtmETyQSQSgUIi4uDh4eHrhx4wYhOW1vb8eXX36JpKQkBAYGcm6obImlnZ2dSvOG7OzsiMzkixcvEBoaSkieSktLGZuzQCBAdHQ07+cCVj7DDz74AN999x0jWzw0NIRz587hyJEjGBsbI847tvkJH5iamuLQoUN4/fo1YwAwG1NTU+jo6CCyqWqo8b5YXl7GuXPniOPypI7vi7m5OVRWVqKyshLGxsYICAhAQEAAnJycGAmS+vp6mJqa4vr165wKCx0dHaSkpPAKTGXXTl1dXRw6dAh37twhqlvl5eV49+4ddu3aBZFIxOlkWV9fj9u3b3PKPL28vJCWlqa071lHRwf+/v4MtcSrV68QFRUld5g1sOKUefXqVSI5JhAIsGXLFoSEhODbb79lkPPGxkaUlpZyjvhRhcxpamoiLS0NZ86cUSlh6enpibS0NOjp6WF8fJzYs2xsbGBsbIwdO3bgxo0b9HGxWIyrV6/ixIkTDBXGyMgIsQ8p65ejIJVK0dHRgVevXqGhoUFp/7dAIICzszP8/f3h4+NDfK9UH5wsgoODsby8zDi3Ghoa8PnnnyMyMhKPHz/mdLGem5vD/fv38ezZM0RHRyM4OJiuApubm2PdunX0UHlg5XyJiIjg3EsnJydx8eJF4hwNCwtDREQE53tVV+bUUOMHANvY4/swQNDW1kZsbCyEQiEePnz43o/HB0KhEFpaWhCJRJiamnpvGaYsxsfHect91qxZg97eXoyOjkJHR0fuTUtLiyYk/f39hJ69tLQUeXl5Ks0OMjMzg4eHByoqKhjv38DAAAYGBnJtjSm3xLdv3yIvLw8+Pj4IDAyk7e+5zomBgQFcvXpV7lBqkUiEjRs3IiIiglis2RlK2eqlnZ0dPvnkEzx48IBw/FpYWMDNmzfR1NSElJQUhhRxaWmJkMQoMz7hwqZNmxibr0QiwcOHD7F37176PtPT00TviSpVOVnIEjpZifLg4CDOnz9PEDdLS0teEqmFhQWMjo5iZGSEDkq4ghMunD17Fv/n//wfld+LGmoogipDumUhFArpyomNjQ0GBweJtcHDwwNtbW1y18uJiQk8ffqUsweotrZWrnutq6sr0tLS5JIPZc58mpqa2LlzJ0xMTAg334aGBkxNTSEzM5Oofr18+ZKzZUEoFCIxMZGX7JzC+vXrGWRuYmICra2tcuXUlZWVyM/PJz5LHR0d7Nmzh+7L27t3L06ePMnYu4qKimBra0uoB9hkTtkaZm9vj/DwcJSXlyt9f0KhEFu2bEFoaChjT5WFrq4u/R0GBgait7eXcQ5NTEwgJycHBw8epEkuO8lgZGREVO/YmJycxOvXr1FVVcW75SQmJgahoaFELCaL9vZ24vGCg4OhqanJIHOzs7N4/fo1QkNDkZaWhqioKDx69Ijz/J6amkJ+fj7KysoQGxuLwMBAaGhoIDY2Fm/evGHsgY8fP8auXbsYf7+wsIBLly5x9hRu3bqV8/wUi8VEz6wqUuqfC9RkTo0/O9iLqio9c/IgkUhw9+5dYsPlgpaWFhwdHWkiJhKJoKWlRf8s+6+iY9QCLBaL8e2333JWzWTh5OQEQ0NDDA0NYWRk5HsZuAqsOHnysRIWCATQ0dGBUCjk/Mz5SI6EQiGcnZ3h4eEBd3d3unrU29vLkJDGxsZi/fr1GBoaQnV1NWpqauRW+ZaWllBdXY3q6moYGBggICCAM5DJycmR+77WrVuH+Ph4uZsTV2WO/XNSUhK8vLw4e1caGhrQ1dWFHTt20MY0zc3NxKw3eSMgFMHExARhYWGMIIJ6PkrO9PTpUwYh1dDQ4CVbkgdjY2Oa0Mk6cQ4MDBAEXJbcSaVSTE5OEoRtZGTkvZMyy8vLKo+7UEMNRZCthsiDhoYG1qxZAxsbG9jY2MDW1hZWVlaM3jd275irqysOHDiA2dlZ1NXVoaamhpipqCooU6QNGzYoJE18JGNUX5upqSnu3LnD2Gt6enrw29/+lvgbLiJgZmaGPXv2KOyl5gJFgmUJTmVlJUHmxGIx7t69S8jHgZUevszMTIZCwcTEBOnp6bhw4QJ9TCqV4tq1azhx4gTDHGY1o23i4+PR2NioMNi3sLBAeno6MWKHyzFV9nvcsmUL3adP4e3btyguLqZt+tnJQS8vL7kEpbm5GVVVVWhtbVU5kezq6qqQyAFgVMoA0MkNgUAANzc3hpqovLyclluam5sjPT0dUVFRKC4uJoafAyvn2q1bt1BaWoq4uDj4+voSe2B1dTUiIyNp+S9VzWQnIezt7bF7925G1XdmZgYtLS20wogNVUYv/Fyg3jnV+LPj+5RZAisl/GvXrvF2l6IyjcoGpPJFSUkJQeTc3d3R1dXFCPbHx8eRmZkJHR0diMVijI2NYWhoiHH7Pno45EEqlaps+wusbKDu7u7w8PCAi4sLQYQA+QGGlZUVNm/ejISEBHR2dqK6uhr19fVypbDT09O8MqMUPDw8sHnzZqXfpaLKnCxcXV3x2WefobCwkJjbNzMzgytXrmDdunXYunUrIbF0cXFRukHKQ3R0NF6/fs34fu7fv4+PPvoI09PTRL9GUFAQ55BcVWBiYkITOkVy2u7ubuTk5NDkbbXVDmV4/PgxMXtIDTVWi/HxcUK+zkZqaioCAwOVjlhhr5uUNE5PTw+hoaEIDQ3F+Pg4ampqUFNTo7Ij7po1a7Br1y5ee5IqNutr166FkZERrl69ynuQOIWAgACkpKSsqr+IMkLJzc2lj1FDqynCNTs7i2vXrnH2rnt4eGD37t2E+ySwYmiVkJCAoqIi+tjc3ByuXr2Kjz76iF7bVSVzUqkUra2tConcunXrsG3bNs7PnJ0EYxNgoVCIPXv24OTJk4xk6tOnTznJL0BKLEdGRvDq1StUV1fLbTPgg7dv3xIjLmQxOztLEMt169bRxHLjxo2Ma2t8fByNjY2MuYrW1tbIzMxEb28vioqKOOOzkZERXLt2DWvWrMGGDRugpaXFiA2Ki4uRmZkJqVSK27dvE49hbm6O/fv3Q1NTEwMDA2hubkZLSwvhTcD1/n5pUJM5Nf7s+D7J3PDwMK5cuaISCZqbm8O5c+fw4YcfEnbtqqK7uxtPnjxhHDM3N0dGRgaqq6uRl5dHH5+cnMS9e/eQmpoKoVAIS0tLWFpaMqo5S0tLGBkZocldW1sbr2bw7xMaGhpwcnKiq28WFhZK5TXsXgH2JqyhoQEXFxe4uLggOTkZjY2NqK6uXvVsmzVr1iAxMZG3MQebgCiqAOno6GDnzp3w8vJCbm4usfBXVVWhvr6eCI5WI7GkoKuri5iYGNy9e5c+1tPTg/r6enR1dX2vVTlgJXCZnZ3FzMwMgoOD8ejRI7n35XJ2Ww10dHRgbm4ut4JdWloKb29v2NnZvfdzqfGXDalUilu3bilVPxQWFsLIyEjpSBb2GsBFMkxNTRETE4Po6GgMDAygpqYGtbW1Sve38PBwek6bMkilUpUHILu6uuKjjz7CpUuXeA913rZtm0qySi4EBATg3r17jNf76tUrJCQk0AYWXMQpMjISmzZtUthfFxUVhd7eXkbVp7+/H/n5+UhNTYVEIiHUJ/LIHCX5LyoqIuR4bKSmpsp9DPYaya7cASuxT0ZGBs6ePcs4N2/evEnsH7q6unBycsLi4iLq6upQVVXFq/praWkJMzMzzooYhbdv3xJjAWQhK3kEVohoYGAg/bOzszNBPsvKyoi5isBKG8Phw4fR0dGBoqIizvcwMDCAW7duEcebmprQ09OD5uZmogdUW1sbYWFhKC4uRnNzs0r9/T9UQvLHhJrMqfFnB7t6MTMzA7FYzHsANYWWlhbk5OQQQbVQKIRQKFRohDIzM0MTutX0HQErGdIbN24wyIiGhgZ2794NLS0thISEoKGhgZFNqqqqgq+vL9zd3TkfUyQS0XIfYEWucu3aNbmvwdPTE6amppifn+e8qZqN3bt3L1xdXVXOxrKfhyvYoSASiWhjgOnpadTU1KC6ulpuf50sDA0NsWnTJrmGJPLAtzInCx8fHzg4OODOnTvEnEKuz9Xe3h4SiURhEKIIoaGhqKioYAQ4N2/eJF772rVriVlTXFheXsa7d+/o/kv27YfY0AQCAUxMTGBhYQFzc3NYWFjQNz09PfT09ODMmTOcf0sF4CdOnFDLLdV4L7x48YLh6CgPi4uLuHTpEnbs2KFw5ig7WaXIBEQgEMDGxgbW1tbQ19fHgwcPFL4GVUbrcI3I4bNWW1lZ4eOPP8alS5d4JWYKCwtRXFwMIyMjGBoawsjIiPOmo6Mjdx3W0tJCUFAQQ0JZVVWFNWvW4NatW8T+LBQK6UqpMggEAuzcuROnTp1i9ORWVVXBzs4OHh4exOfERea6u7tRVFTEOUePDT09PczOznKOjZmeniYqZfKkqY6Ojti6dSsKCgroY4uLi4T6wsDAAHl5eaitrVVq6qalpQV/f3+sW7cOdnZ2+OabbxTev7e3FwsLC5znDpfxia+vL+OcFwgEiIyMZLQ+9Pb2oqurS27Fz9nZGUePHkVrayuKiop47fcAcPr0ac7jCwsLjM9QFXz88cer+rufMtQ7php/dnA1Is/MzPDStAMri015eTkxLBJYWQD37duHyspKRgN2SEgIhoeHGVrpqakpnDt3DkePHlVoPy8PhYWFRGYxNjaWblgWCATYsWMHvvzyS8ZifOfOHXz22WcKCQ8FZZm4vr4+pKSkyP3sJBIJ7QxJ3QYGBhgVIFnMzs6qTOSo55AF38cwMDBAREQEIiIiMDQ0hKKiIoUZxYSEBAQFBan0+gCSzHFJReW9vszMTLx+/RqFhYUKN9U//OEPAFYGBVMGMAYGBsTP1I0dCFE9M9nZ2XJft4aGBu1gKZVKMTMzI5esfR/GQvKgpaVFkzRZ0mZmZqaQiLFn8rExPDyMR48eEQPV1VCDL8bGxpQSKFlQQ6LfvXuH2NhYTnIiT2YpD0NDQ7h9+7bSPmpgpU8qOzsbGRkZShOaXOsPX2c+AwMDxMTEICsri9f9FxYWMDw8LNdwClhJismSOzbx8/b2ZpC56elpxvpGwdDQEPv27VOpKq+jo4O9e/fi1KlTjMRUQUEBsW4KhULGdzY4OIiioiIiSacIs7OzePDgAWd1jk2QtbS0FCaJQ0ND0dvbq3CenrLPHgAcHBywbt06+Pn50efBmzdviNezZcsWPHz4kK62Uc6XVP+3LHp6eojn5ZqJ5+vri4cPHzKSEaWlpQrlmwKBgFb8NDQ0oLi4WGVJMl+IRCK4ublhYmKC8XnY2Nisuh3ipww1mVPjzw49PT1oaGgwZAZTU1O8yNzy8jJyc3OJfiZg5SLNzMyEkZERMbdHT08PBw4cwPnz5xkb7MTEBM6ePYujR4/ycuyjUF9fTwyqdnBwICySTUxMkJiYKFduqQzKyNz09DQuXbqEo0ePchIoDQ0N2s2SgqJgu6CggNbv8wVXlYoPUWVDJBIplbncvn0bUqlU7sBVeVhNZY4CZbDi4uJCOKlxYWZmBjMzM0rlsUKhkCB9sm6ZXJBIJHQS4YeqrnHBxMQEkZGRNGkzMDBQWYLFNUMpKioKbW1tnHIdtdxSDVVB9dYoui4cHBxgZGREJBYeP36MiYkJbN++nSBVbJmlvMqcWCzG06dPUVJSopLBVVNTE65evYqMjAyFaxPXWssncUYlQFUhuXywvLyMsbGx9+r1NjQ0xLFjx1aVULWyskJaWhpDvSIWixlDy4E/DQwfGxvDo0ePiH5nWZiZmSE+Ph5+fn7Izs5mrFlVVVUICgoiCIsy8xM2BAIBtm/fjsHBQZXbKPT09BAUFIR169YRw8SXlpYYvYTAimHLhg0b0NzczKhAvn37lpPMsY1PTE1NOcfGaGhoIDw8nPFZt7S0YHh4WOmQc4FAAF9fX3h7e6OmpgaPHz/+XhwmTUxM4OnpCU9PTzg5OUFTUxMFBQWM74c98ueXAjWZU+PPDoFAAAMDA5UHh09NTeHq1aucza3+/v5ITU2lKy5c7oXa2to4ePAgzp07xyjxj4+P05JLZcE09TpkG7uBlUzcrl27OCV2q5FbUu+BLUU4ePAgSktLGYvy4OAgcnJykJmZyUvip8g9VCwWIzs7GydOnOBNyNgSJED1oZxTU1M4f/680vOACtYWFxexYcMG3o+vzM2SD/r6+r5X8iQWizExMcG7j4WCosqlqtDQ0ICpqanS8QGzs7NwdnZWukkrQm9vL9HXEBAQAH9/f5w8eZIOfqVSKW7evIlPPvlELbdUQyVUVFQQ8kpNTU1GMmd5eRnp6ekwNjYmXCpfv36N6elp7Nmzh7GGsRM4XGSur68Pt2/fXnWPc3NzM65evYq9e/fKPe/ZZE5DQ0NpNW9paQm3b9+WOwrhx8bU1BT+8z//EwYGBjAyMoKxsTGntNPQ0JDzvfr5+aGnp0fu4HUKubm5qKqqkkuyjYyMEBsbi7Vr19L76LZt29DW1saoiObm5uLTTz9lvBb2Ps3VL8eGSCRCWloaTp48qfS+AoEA7u7uWLduHTw9PeV+58+ePSPW2MTERLpnXTZu4DKeWVhYIJIcwcHBconpunXr8PjxY8b1UVZWhrS0NKXvCVg5f4OCguDv74+qqipG0psPBAIBHBwcaALH1d/P3tvUZE4NNb5HGBoaMhYdZeMJ+vr6cOXKFc5gPyEhAVFRUYyLWF4lRldXF4cPH8Z3333HkBKMjIzg/Pnz+OCDDxT2Q1CBJntzT05OlusuuFq5ZW9vL2PjEQgEcHR0hJ2dHU6fPs1YpFpaWnDv3j1s27ZN7munoIwwjY+P49atW9i7dy+v6gs7wBAIBCoN5ZydncX58+dVyswVFhZiYWEB0dHRvF7j+1TmpFIpiouLCaObnwv09PRgamrKeaOq0V9++aVCucvi4iKuXLmC48ePr6rqCpASSwsLC1haWkIgECA2NhbFxcX070ZGRtRySzVUwtjYGDFj1NjYGPHx8bh58yZ9bH5+HgKBAImJiTA2Nib6blpbW/Hdd9/hwIED9PWhiMwtLy/j0aNHKCsr4zRzMjc3R2pqKioqKhjXgKOjI/r7+xkJopaWFoWEjkvOrmj9e/fuHbKysjj7k+zs7NDX10e85qioKKxbtw6Tk5OM29TUFP3/72OckCykUimmpqYwNTWlUJpKET62pNPDwwP19fVyTTDGx8eJnjQKenp6iI6Oxvr164nP3MjICAkJCYzq08jICMrKymi5O8BdmVMEiUSCV69eMdY8LpiYmGDdunW0K6kiTE9PEzMNXVxc4OHhAWDFCEf2+YaHhzE1NcVQJNXW1jLOR4FAoLCtQUtLC6GhoYx5htXV1UhISOCtdKLm1Mn7frjg5uaGwMBAuLu7K5U8s8nc+5re/VShJnNq/ChQxdGytrYWt27dIgJyqhrm7e1N/I2iSoyenh6OHDmC7777jnGhU0OTjxw5IjdgraioIOxxfX19lTZtr0ZuyZZYrlmzhiZJBw4cwKlTpxhBxvPnz2FmZoawsDCFr4W9EXt6emJ2dpZR8WxsbER5eTkiIyMVPhZAVuaUBRjsv71w4YLS3gChUMhw1wJWbIsXFhawefNmpc+32srcwsICrl+/rlJvxY4dO+hZflw3rkrm+0AoFMLExISTrJmYmCitkr548YIgcmlpaWhvb2f0dIyNjSEnJwf79+9X2eSFS2Lp6+vLsLpubGwk5Jbe3t6wt7dX6bnU+MuDPHllWloaQVZkk09hYWEwMjJCTk4OY38ZGBjA6dOncfDgQZiamhKPS5G5rq4u3L59m7OyTZlExMXFQVNTE48fP2b83svLC5s2bcLFixcZJK2lpQVZWVnYt28fQS5UGUvQ3t6O7OxsTll4fHw8oqOj8e7dO5w8eZKxJj19+hT29vacEjwKYrEY09PTBOFj375vUGuoMjk+H2hrayMiIgLh4eEK18jQ0FCiD62kpAR+fn4wMzPD7Owsoa5QROba29tRWFiIoaEhha/vwIEDcHd3572XPnr0iCD7iYmJ9N/b2tpCW1ubcQ61t7czYhe2xNLT01MpKQsLC0NZWRl9/UgkEjx79gyJiYly/0YqlaKnpwcvX75EXV0dsbcrw+DgIHR0dJQSOcoETBbqypwaanyPYDegcpE5qVSKoqIiItsErJCjzMxMeqAkG8qCdwMDAxw5cgTffvst42Lv7+/HpUuXcOjQIWKjHBoaIkxXDA0NsX37dl4LbkhICOrr6xnyBkVySzaZkw1qzczMsG/fPpw7d45RvSssLISZmZlC+SaXZXNycjJOnjzJ6A158OAB7O3t6cHV8qCKk6UsKCc5dlaTWmxlA6QtW7ZgcXGRyLyXlZVhYWEBKSkpCr+D1VTmRkdHceXKFZUbtF++fImjR4/KJYzLy8uYmZmRS/amp6cVzsnx9PSEj48Po7q2Wgvx+fl5IjtsY2ODoKAg+Pn5YXh4mPH9UE5kqlbM+vr6iIBHdiaRUCjEzp07cfLkSUaT/q1bt9RySzWUgkteuX79eri4uBCBP3u98vb2xpEjR3D58mUG8ZmYmMCZM2eQkpJCPJ9QKERBQQEqKio4X4+1tTVSU1NpMyyA7LvT09ODo6MjDh06hAsXLjAC8dbWVly5cgX79u1jrCN8BoZLpVI8f/4c9+7d43S+3LVrF03UTE1NsWfPHly8eJFx3xs3buDjjz+WW8UQCoUwNjbm7HNbWlpCXl4eZ1/7TwUbNmxATEyMUjIArEgBt2/fjlOnTtGf0fLyMvLz83Hw4EFi/9LU1OT83MbGxnD//n1ifps8LC8v817Xh4eHCSIWFBTEIJUaGhpwdnZmyPRlydzAwABxrQQHByt9bn19fQQFBTEqa5WVlYiJiSHOz4WFBdTU1ODly5fvNXJpenoaly9fRlBQELZu3SpXTcXVy/lLJXOr89BWQ433BDvbwyYYCwsLyMrK4iRyzs7OOH78uFwiB/AL3o2MjPDBBx8Q8oXu7m5cvnyZQQiXl5dx/fp1IoO0c+dOhbJMWQgEAqSmphIk8c6dO0S1RiqVEmSOTaqcnJwIbbpUKkV2drbChZL9WRsYGMDY2Bi7d+8mHuvatWtKh5NyVeaUYXl5GVevXiXeo7GxMQ4fPkwQQk1NTURFRSEpKYl4rMrKSty4cUNhdk/VylxLSwu++eYbgsjx2Vz7+/tx584dufPzNDU1YWxsDDs7O3h5eSEkJASxsbFISUnBvn37cOzYMYXmH729vXBycoKTkxPd2L9alJSUEJn7LVu2QCAQQCQSYd++fUQfaWlpqcr9N2yJpbm5OTEg2crKCrGxsYxjIyMjSqVIavxlg8u9klJCAOR6JBaLif3BwcEBx44dI6Ty8/PzDPt1Ct999x0nkdPQ0EBcXByOHz/OIHIAN5mjnvvw4cPE62xra8OVK1cYa5cy1+ClpSXcvHkTd+/eJdYfc3NzfPzxx0TFzc3NjUjOLCws4MqVKyqrCCYmJvDtt99yEjlzc3POtSouLg4nTpxAZmYmkpOTERUVhaCgILi4uMDc3PwHSeS8evUKN2/exLNnzzA8PKx01qmtrS1CQ0MZx9ra2lBXV0eQOWtra4ZyYX5+Hvfu3cMf/vAHuUTO29ubiAvY5EwR7t+/z3gPmpqaSEhIIO7n4uLC+Pnt27f037HHERgaGipMCssiIiKC8fPCwgKD3A0ODiIvLw//9m//hry8PIXxCVcy2MfHhzOuePPmDb788ku5yhl2xdzQ0FClFpCfE9TpTjV+FCiSWY6Pj+PKlSucMoSQkBAkJSXxavqWhbzg3cTEhJZcypKcjo4OZGVlITMzE5qamiguLiYWoPDwcN5Dq2Wfj4/ccmRkhNhIHRwciMcLDAzE6OgoQ7O+uLiIy5cv4+OPP+a04OUic8DKph4bG8uQA01NTSEnJweHDh2SK61TNjCcDYlEgpycHLS1tRGv48iRIzA2NpZLxsPCwqClpUW7WlKoqanB4uIi9uzZw7n5863MSaVSlJaWEhVAYCX42r59O65evco4fuzYMdy4cYORBaypqcGaNWt4yVTZWFhYUCgjmpmZwYULF/DRRx/xMuyRh7GxMTx//pxxzNvbm+FcZmxsjIyMDKICfOvWLVhYWPBq9JdKpaivr2cck5VYyoKSW8q+//Lycvj4+KjllmoQoKq37Os7LS2NDtq4gsCFhQViDTA3N8exY8dw+fJlpSMFuCSEdnZ2SE1NJZIUFBT13dnb2+Pw4cM4f/48o/r29u1bXL58Gfv374dIJFIos5yYmEBWVhbnHDlPT0/s2rVL7tocERFBDzqnMDo6ihs3biAzM5NXwqizsxNXr14lSCuwMrInNjYWQ0NDOH36NGN/LikpgYuLi1xZp1Qqxfz8vFJJp7JZbLJYWlpCS0sLWlpaAKzEI25ubnB1dYWrqyvnupqQkICGhgZGrFJYWEisgVQ1TCKRoKqqCkVFRZyfCbBC/LZu3QoXFxe8fv2aMTi7tbUVExMTSl0+3759S78PChEREZw9dux4ZXJyEqOjozA2NibGJMgawSiDubk5fHx8GFL6p0+fQigUoq6uTqkrt1AohK+vL0JCQtDf388YnaStrY3du3djZmYGubm5aG1tZfzt1NSU3CodOxn7S63KAerKnBo/EuSRuY6ODnzzzTcEkRMIBEhOTua0jeaCKpUYc3NzHDlyhJBctLW14dq1a2hrayNcz6ysrLBp0yalr4MLISEhRIasqqqKQW7Yix/l8sWFuLg4+Pv7M45NTEwQ1UUKbDIn+13ExMQQC357ezvR7yELPtIfClTwxc5QUsY01GwedpVN9jtfu3Yt9uzZQ2w0TU1NuHz5Muemzud8WFpawvXr1zmJnLW1NY4fP05UYYVCIWxtbZGZmUlk/B48eEBsPHzQ3d1NZIrZWf6xsTG575UvHjx4wCBoGhoanH0OTk5OREV0eXkZV65cUVq1BVYqlYoklrLQ0NBAWloa4/umTIf+XGMY1Pj54Pnz54zZocBKj5NsQoKLwHBZ/AMrkrEPPvhAYb8YG5qamkhMTMRHH30kl8gtLy8T5y97v7Gzs+Os0LW3t+PSpUtYXFyUu9Z2dHTg5MmTnEQuNjYWmZmZCpNslEkXm5g0Nzfj0aNHcv8OWLk+KyoqcO7cOYK0aGlpYd++fYiLi4NAIIC1tTWhJpFIJLh69arcHjuBQABdXV1YW1vDw8MDISEhiI+PR1paGg4fPoxPPvmE2P9UxdTUFF6/fo3r16/jt7/9Lb7++ms8ePAA7e3tdKJAW1ubWAdnZmaIpOSaNWvQ3t6OkydPIjc3l5PIUYnBEydO0LGAr68v8d2zxx+xIZFIcO/ePcYxfX19bNy4kfP+FhYWROzV3t6OhoYGIimr6vgfduJybm4OhYWFComciYkJNm3ahL/927/F7t274eTkRCT+vL29aTXLgQMHkJqayrtK95fiZAmoyZwaPxLYFaOZmRlUVFTg/PnznBnMw4cPEzIHRVC1R8rS0pJT3tfU1IQLFy4wjgmFQuzevXvV8g95csvbt2/TCyp7AeSqysk+XlpaGlG56Ovrw40bNxjEQCqVyq3MASvB9O7du4kFv6SkRC4x4VuZk0qlyM/PJzKAWlpaOHjwICMQUvb9+fr6Yv/+/cTxt2/f4sKFC8RrUvZ47969w5kzZzjlg35+fvjoo49gYmJCJBksLCygoaEBS0tLTplqTk6OyjOYZO2jgT/JsNiBYm9vL65du6Zy8ziwkkVnG5KEhYXJHXS7fv16on9iYmKC1/OzJZZmZmYKJdJccsvR0VG13FINBkZHR4nEi4mJCSEZFAqFROJHkXxQJBJh7969WL9+vdLXYGlpiU8//RSRkZEKqxhcAT2XPN/Ozo7TgKujowOXLl0i1m4tLS1631RGpJSBklWzSWZJSQmxVlBYXl7G7du3UVBQQFj+m5mZ4eOPPyYMyvz8/Ih5rDMzM8jKyiLWaWWYmprC2bNneUkSvb29ec9PHRgYQGlpKc6dO4f/9//+Hy5evIjy8nKYmZnB09NT4d8+efIE586d45QSamhoICIiAv/tv/03hISEMM4ZLS0tgpQqGqUArDhHsp8nPj5ebkJVIBBwSi3ZEktXV1e57txsLC0tobm5mXgMeRAIBPDy8sLBgwfx61//GlFRUXQldHJykoh9ZBN/1MzXzz77jFMCSlXpKMdxNZlTQ40fGFwOSVwbgqWlJT7++GNiAVIEqVS6KvfCNWvWcBqfsBEVFaUwGOUD2Z4OCpTcEgCRbVZE5oAVcpKZmQkTExPG8YaGBkbAMzc3R3zGbGKtr6+PPXv2EAHA9evXOWei8a3MPXz4EC9fviRe9/79+4keMT5k3N3dHYcOHSKer7u7G2fPnqWrRlzng+zjUdVgLvvuTZs2IT09nT4n2GROlmB5eXkhPj6e8fv5+XlcuXJFbiWAC2wy5+zsDB0dHRw8eJCozra0tCA3N1dpz4cspFIpQ8YCrASWbALFRnJyMnEednR0EJlh9nPxlVjKYuPGjUQ1sry8XKlcR42/DEgkEqXySgoCgYAgR8quRw0NDSQnJytNII6MjODevXu0zFseuMicvKSXra0tJ6Hr7OwkAubXr1+rRKSUwcTEhHPtv3nzJrH2TU5O4rvvvuOsHnl4eOD48eNy51LGx8cTwXhfXx/y8vJ4r2Xd3d04efIkp1lUZGQkIZV0c3PDiRMn8D/+x/9Aeno6L7t/YGUvam1txb179/DVV18pdTaWNzfUy8sLv/rVr7Blyxa53z1Xwoztnk2Ba0C4paWl0ooaW3nT2NhI7DnKHmNmZgZVVVW4cuUKfvOb3+Dy5ctKCbWBgQFiYmLwN3/zN8jMzOR06mQnDbS1tTlbWfhW6djnxi91LAGgJnNq/EjQ09NTqsf29PTEsWPH5FYL5EEikRAbAl8rejs7Oxw8eFDhfR4/foz/+I//wKVLl3D//n1UV1djYGBA5ayiPLlldXU1Uc1RRuaAFRJ24MABYnErLS2lgwCu+UBc/QGOjo5Ehntubo6zEsOnMvfkyROUlpYyjmloaGDv3r0MSRQFRTJLWTg5OeHIkSNElntgYADfffcdJicnOStHIpGIlgdxZbW1tbVx4MABYn4he4QCu1oWHR1NSAiHh4eJCqk8cPXLUZ+PkZERDh48SHy+r1+/VqlqVV1dTcix4uLilPY6CoVC7N27l0jEVFRUyM3KDgwMENbQ8iSWstDQ0MDOnTuJ7/3WrVtquaUaeP78OUHs2fJKWXC56imDVCpVah8vlUrR3NxMy/NycnLQ3NxMrDlcahNF+5+NjQ3nusYHyoiUMri4uGDr1q2MY4uLi8jKyqLfR1dXF06ePMnZWxgdHa1U1kkpQNjVn9evX+PFixdKX+OrV6+IPndgZV1PT09HYmIi3NzcGL+jXKT19fXh7++PtLQ0fP755/jVr36FrVu3wsPDg3ecoAqsrKxw+PBhZGZmKq0M2djYEFJXeWtrWVkZ4QJODQhXBGWJcV1dXc4kwMjICEpLS3HmzBn89re/xe3bt9HU1MQr7snIyMDnn3+O+Ph4hT2A7MSfl5eXXAWUbJWO/V0D3A7pv+TKnNoARY0fBRKJRKF8ICoqCgkJCaty6uMK9lSRRPIZdjkxMYGJiQlG47FAIICZmRmsrKwYNzMzM84FlpJbsoeJ37hxg3E/kUjEy2gCWMnM7d27FxcvXmR8vrm5uTAxMSE+cz09PblEKSIiAt3d3Yz+tp6eHty/f58xnFxZZa6iooLIIAoEAqSnp9MDTdlQRSZra2uLDz/8EOfPn2ds7iMjI/j222+xd+9e4m8EAgHu3LnDuVGam5sjMzOTyOJJpVJC0sImc5TkdWRkhBEINjU14fHjx4iLi5P7PoCVIEmW9GloaDCIvKWlJQ4cOIBz584xPqMnT57A0NBQaSWBa7yDhYUFQkJCFP4dBQMDA2RmZuLMmTOMgDUvLw+WlpaE1JctsTQ1NVXpXI6Li2O8XkpuuWXLFl6PocYvD6Ojo8R6YmpqqnBcBntN4uPS+OjRI2LcgSIsLS2htrYWtbW10NXVha+vLwICAuDo6Egki/iQNIrQnTt3jnNWHBc2btyIhIQEledAshEWFob+/n6GKyU1Z9LT0xN3794l9hKRSISdO3fyStYAK59BZmYmTp06xdiz7969CysrK7lJvoKCAs4B0yYmJti3bx+9vjg7OzMk/R0dHZBKpYyYQiAQwNLSEpaWlggPD4dYLEZ3dzfa2trw9u3b95pnp6enh/j4eAQHB/P+PiiCIjvIvrGxETMzM4yk6/T0NJEcdXV15eU+aWRkBAsLC7kjdwIDA6GpqQmJRILu7m40NTWhubmZc5YiH+jo6MDLy0up18Hk5CShSPLz81P6+MbGxjh48CCqqqpw7949hYkatnLplwQ1mVPjR4GiOVpJSUlKB18rAlemiG/GrbW1ldOKmg+kUilGR0cxOjrKkAsIhUJYWlrCysoKlpaWsLa2hpWVFYyMjDjdLdmws7NTaXN2dXVFcnIycnNz6WNUkzk72Odyu6RAEZPBwUGMj4/Tx58/fw5HR0d601ZUmaNkQGykpqYq3PTZ36GyjcDKygpHjx7F+fPnGZUgaiguGxcvXuTsZfPw8MDu3bs5s8pTU1PERsFleKClpYXMzEx88803jCDs8ePHsLa2ho+Pj9z3wZa72NvbE+eug4MD9uzZg6ysLAbxy8/Ph4GBgcLHl5fN5WMqRMHW1hY7duzAzZs36WNisRhZWVk4ceIEnQxRNiicDyIjI9HY2MioAFDulnyq1Wr8siBPXsnVgywLVWWWra2tePLkicL7aGpqyq1KzM3NobKyEpWVlTAyMiLWSF1dXdqlcWZmhr7Nzs4S/+dL5IAVFUZZWRlEIhE0NTUZN/Yx6mehUMh5f1tbW2LEQFtbG2H4AayQ6czMTLkGMPJgZWWFXbt2MRyCJRIJsrOzceLECUYVZ3p6mnOcDbCy56WnpzP6/dgVqNnZWQwNDSlskRAKhXB2doazszM2bdqE2dlZtLe30+ROnoSSC1paWlhYWMDU1JRSR0pZBAQE4P79+4wh3G/evGEYjBQXFxNJa9kB4crg4uIil8zp6enh5s2baG5uVunck4f5+Xm0trYqNRXiK7HkgkAgQHBwMNzc3HDnzh3OcxRYSS4GBATwe+E/M6jJnBo/CrhK4BSKi4shlUqxfv16lYJMClyVOWVkTiqV4unTp0TG9/uAWCzGwMAA0ZOlpaVFEzxFWE3QGhISgrGxMYYL5/z8PBGgKCJzwEoQlJGRgdOnTzMqMbdu3YK1tTXMzc3lDg2vr6/H7du3icfctm0b1q5dK/c5uWSyfCqrZmZmNKFTNuibi8hFR0cjLi5OLnFmS660tLTkbtKmpqbIyMjA+fPniWG8igxAuPrluODl5YWUlBQGYQeAnJwcHD58GE5OTsTfTE5OEq6srq6ucqujihAUFISBgQE8e/aMPkYFWx988AE0NTUxODhIfM58s/YUKHfLr7/+mjj/Pvnkkx9EFqXGTxdc8sqwsDC51wkFVWSWk5OThDqCCx9//DEGBgZQW1uLtrY2uTJqLpfG3t5e/OM//qNCdcpqIZVKsbi4+F5Ot6rCxsYGDQ0N6O3thZGREX3jM3PUx8cH0dHRjL1pdnYWWVlZOHr0KEQiEXp6enD16lXOuCEiIgKbN28m1m0TExOYmJgwknvt7e0q9bvr6enBz88Pfn5+kEqlGBsbQ1tbG0pLS+W6b1J49+4dHjx4gAcPHsDJyQkBAQHw9fVVWpWlqrqyVcWqqipERERAIBBgaGiIUJSsXbuWt+IBWFn35clZ+Ur2RSIR3N3d4eXlha6uLoU9c2/evFFK5lSRWMqDnp6eQuOWH2Jm4U8Fv9x3psZPGr6+vnIrYPPz8ygsLMTLly+xZcsWlYNNVWWWCwsLuHnzptyBnrJYu3YtwsPDMTQ0xLix+4L4YHFxET09PQqrlMDKBlRZWQk9PT3o6elBV1eX/lcR2d28eTPGxsYUvi8+klIbGxskJSUxiMPi4iKys7Nx7NgxzqHhLS0tyMnJIQKchIQEbNiwQeHzcfW48V2EjYyM8OGHH+LChQuchiZcEIlESEtLUyrp4JJYKsqEUr0nhYWF9LGlpSVkZWVxjjlYWFggetkUBakhISGYmppijI0Qi8W4cuUKjh49SmTJi4qKGNeGQCCgB4SvBomJiRgaGmI06Pf09CAvLw+pqamExNLExIS3m5ws5Mkti4qKiN4eNX65GBkZ4ZRX8hkRw1dmSc3AZMsiN2/ejNLSUkalor29HeHh4QgKCsLMzAzq6upQW1vL26TnhyByPxbq6+uJYBxY+dwpYmdoaMggetRNR0cH8fHxGBgYYLQt9Pf3Izc3F87OzsjLyyP2BU1NTaSmpiqstDg7OzMMWjo6OhAeHr6q9ygQCGBubg4dHR0iKaYMnZ2d6OzsRH5+Ptzd3REQEAAvLy+5yajg4GAGmRsZGUF3dzccHR2JAeEikYhzQLg8zM3NyZ17pwyGhobw9PSEl5cXXFxcoKmpicnJSSKpyAZV5ZNHZKempgiJpaqJv6GhIeTk5Cjsc1WkWvm5Q03m1PhRoKGhgaSkJE4JHoWRkRFcunQJbm5u2Lp1K++Gbi6JnryAdWRkBFlZWZyVHB8fH1haWjIGcre3tyM1NZXI7i0uLmJ4eBiDg4MYGhrC8PAwhoaGOA1HVIUiwqetrc0gd+x/PT09FZI5vkOng4OD0d3dzZDdDA4OIj8/n8hyDw4O4tGjR0SwsnHjRsKSmgtc0iUu0iqRSGgpkqw8aWZmBubm5rzJ3NLSEsrKyvDixQuIRCL6RkmRRCIRBAIBUdXk89mFhYVhYGCAEVCMj4/j2rVrOHjwICOb3NnZydikhUKh0kHZsbGxmJqaYmRF5+fnceHCBRw7doyuHPb19RGSqXXr1r2XK6uGhgbS09PxzTffMJIZr1+/ho2NzapcLOWBS2757Nkz+Pj4wNHRcVWPqcbPB6q4V3KBb2WuqKiICCq9vLwQGRmJkZERxnXc0NBAEwN9fX2EhYUhLCwM4+PjqK2tRU1NDWGY9JeGhYUFDA8PK/wcNDU1YWRkxPk9VldXE6NsgJU+qX379ilNDlHDuCl0dHRAIpGsuqdQLBbj2rVrKsktZSGRSNDc3Izm5maIRCL4+PjA398frq6ujD3O0dERZmZmDGXDq1evsLS0RIwIioyMVJiUnZubQ2dnJzo6OtDR0cE5MkERrK2t4eXlBS8vL9jY2BBr+OPHjxnXpUAgwEcffYTvvvuOJuBisRh1dXVyx32w9wptbW1OUxMuSKVSvHz5Evfu3VNoxiJv9t4vBWoyp8aPhoCAAIVkjkJbWxu+/PJLrF+/HnFxccQcHDb4jiVoaGjAzZs3CTmKQCBAQkICNm7ciOHhYQaZm5iYwOjoKGGOoaWlBTs7O8Jin9Lps2+qWNUrwsLCAhYWFlZVGQRWeqisrKxgbW0NCwsLhc5RycnJ6OvrY2zMXLbUDx48II6tX78emzZt4hXMc22U9+7dg1QqZfSTrDa7yIXVNLo3NTWhoqIC3t7eci2uBQIBUlJSMDw8zCAib9++xf379xmVJT79cvIef2ZmBk1NTfTxqakpXLx4EUePHoWOjg4xikBLS4sYo7Aa6OnpITMzE6dPn2Zcd1zXtaqZVlkoklt++umnarnlLxzPnj0jElphYWGccmIu8CFzzc3NhKmEiYkJ0tLSIBAI4OPjw1jvurq6MD09TUjVTU1NER0djejoaPT29uLUqVNKX5+Wlhb09fXpm56eHuNfisxyYfv27fDy8sLy8jJ9W1paYvzMdYzrPrK/U8X85X2wvLys0ixOZ2dnZGRkKI0DALJvbmFhAQMDA8TYE764d+8esU6LRCIi5vDz84OWlhbq6+vl7vVLS0s0WaXknAEBAbC3t6d7wGT30traWuK5DQwMOId1d3V1ob29HZ2dnbyTmhQ0NDTg5OREEzhFpiEjIyOE5DM4OBj29vbw9PRk9MFVV1fzJnN8JZazs7O4c+cOL1WVsvmAP3eoyZwaPxp0dXVhamrKMNcICgrC0NAQITeTSqV48eIFampqEBsbi9DQULkSQ2VkTiKRoLi4GE+fPuV8Tenp6XRWyNLSEoaGhgytfmtrK+95JXp6enRDtex7mZqawtDQEAYHB/HkyZPvjdytBpSRBeXGaW1tTRu2WFtbw9TUFBoaGtDS0sLevXvxzTffqNSPERgYiOTkZAaRW1pawtjYGOeNqxeBLdn7qaCgoAAFBQWwtbWFt7c3vL29YWFhwXivmpqa2LdvH06ePMmo1D579gxr1qxBUFAQABDBE99AlaqQnTt3jhHwDg8P48qVKwgJCSGqDdHR0Ur7JfnC2toaO3fuRHZ2ttz7GBsbrzqAomBpaYn4+HhGgDM2NqaWW/7CMTIyQvTx8JVXUlBmgDIxMcEw9AFWrqs9e/bQ0jBXV1doaWkx1r6mpiaFTrCK1q1Dhw7BwsIC+vr6SgPXR48eyf1dS0sLbzdavmhpaUFvby/vcTuU5HtychKTk5Pfa6JNFuvXr0dSUhLvypqhoSHMzc0ZTozt7e2rWouqqqpQUVFBPP6JEydw48YNhty8v78ff/VXf4Xk5GS0tLSgtrYWTU1NnC0EwAopefHiBV68eAETExO6WqehoUErXMRiMZHojI+Ph0QiQVNTE115U5W8sR8vLCxM6ZgaCg8fPiQkn9S80qCgIAaZ6+7uxtjYGDFqarUSy46ODly/fp2zj5J9nQK/7LEEgJrMqfEjw9bWlkHmhEIhjh8/jjdv3uDhw4eETHF+fh53795l9NOxqz2KbO3n5uaQk5PD6Xa0Zs0a7N27l9FAKxAI4ObmxsjItrW1rVp3Tz2mkZER9PX10draqhKR09bW/sGIn6wbpyw0NTVhYWFBkzwfHx9CsicPpqam8PT0RFlZGUZHRzE+Po7R0VGFBjg/R/T19aGvrw9FRUUwMzOjiR2VZTU0NMS+ffsY0hMAuHPnDiwsLGBubk4kMJTNA5KFSCTC/v378e233zIkw11dXcRGaWxszOv8lUqlWF5exuLiIpaWluib7M+y/1eEiYkJvHr1ilMKrEpTekREBG20QEEtt/zl4n3llRQUVeYo6RzbuW/Lli0MpYWmpiY8PDwYBK2xsVEukero6EB5ebnc1ySRSHi5HEokEoXmEq2trZifn+cdgCvDmzdvcOvWLd7DuwHQBh8UlpaWGOSOuskeW00LQk9PD969e6fS7FkXFxeCzKkquaN6gWUhFAqRmZkJAwMDbNy4kUHmqF51X19f+Pj4wMfHB/Pz82hsbERNTQ3a29vlfr7v3r3D06dPOZPNbFRUVODOnTsqvRdg5Vy2trYm5gTq6uryPo/YY4sAIDw8nJZ8uru7Q09Pj0Hsq6urifE8qkosxWIxHj9+LNdtNiwsDC4uLsjKyqKP6ejo8Krk/pyhJnNq/KiwsbFhbI79/f0QCARYu3YtfH198fTpU5SXlxOb+ejoKC5fvgxXV1ds2bKF0fsjrzI3MDCArKwsTkliYGAgtm/fzinXcnd3J3T3y8vL7+WMRPVNqSLvMzQ0xMcffwwDAwO6iXl2dpbz/1z/qrI5y2J5eZnTjZMPqPf5Q0NXV5eQKb18+VLu/Xfs2AFjY2NaUiTvxmeALRuUi2hZWRn09fXh5eUFb29vuLi4ICUlheHwSVn6x8XFqdwvx4aenh4OHjyIM2fOKCTLS0tLyM3N5SRkqhA0VSGvSV4kEjHIHXVjkz7q/1u2bMHZs2cZPZlnz57F//pf/0stt/wFYXp6Gi9fviTklRs2bOBdtaagiMw9fPiQeA4fHx/O8Tje3t6M/ert27ecRGp+fp6o9LHR29vLy9yrqalJ4fUsFovR1NREV/jfB2VlZbh//77Kf3f79m1YWlrSjooikQhmZmYKSZdYLKbJ3bt373g5iA4MDODrr79GamoqrxlkwAqZk90Lurq6IBaLeTtlT01N4erVq0RVbceOHXSFz8XFBTY2NoyEXGlpKXx8fOhks46ODtauXYu1a9dienoadXV1qKmp4Ry8zhd8+980NTXh4OAAJycnuLi4wNbWFpqamrh+/Tpqamro+7W0tCidVQqsJPrY7RS6uroMyadQKISfnx9jD62urkZsbCwjAa+KxHJ8fBzXr1/n9BDQ09NDWloaPD09GS7LwEpVbrX92j8XqMmcGj8q2HKHwcFBmihpaWkhISEBISEhePDgAWpra4m/f/v2Lb7++msEBwcjPj4e+vr6nGSuuroad+7cIUihhoYGtm7ditDQULkXu6urKwQCAR1sLy8vo7Ozk3eDLhsNDQ24deuWyhW2qakpZGVl4cMPP6RJC19IpVLcvn2b6HGzs7PDzMzMqnvu/pyIiopiEDbqxuXq2dnZicrKSrkE1tTUVGnlSxEZpKCjo6NwAPHMzAxevXqFV69eQUtLCx4eHkS2cmpqisiu2tvbK00WLC0tYXx8HGNjY4x/lVU9Z2dneVdW/xygiKMyq29FkEgk+Kd/+idkZmYqtcBW4+eB3/3ud8QxMzMzleSVFLjIFrBClNjVM1NTU6SmpnLuBx4eHhAKhXRgTxlaBAYGMu5XWFio1CRDmYsxBfY6ZG9vDz09PTQ3N9PH6urq3ovMSaVS3L9/n7OS6OzsTPRqxcXFMaSfy8vLuHLlCk6cOMG7AiIUCmFiYgKRSMTbDh9YMRu7du0aOjs7sWXLFqXrJNsReGlpCb29vbwq+cvLy5wjETZs2MD4vAUCASIjIxkO3X19fejo6ODcZwwMDLBhwwZs2LABY2NjqKmpQU1NzaoHc7MhFArh4OBAt3jY2dlxfk4eHh4MMtfe3o6lpSWlSbGWlhZC8RETE0NcZ0FBQQwyNz4+jp6eHnrckioSy5qaGuTl5XHGTa6urti5cyddFWR/jr90iSWgJnNq/Mhgu1FJJBIMDQ0xSJ6xsTHS09MRFhaGu3fvEpksqVSKyspK1NbWIiYmhtiEe3t7ObN+BgYGyMjIULqo6+rqwtbWlvG8bW1tKpO55eVl3L9/n9DdAyuL75YtW3D37l1GxYGt/e7r68OtW7eQnp6uUqZJIBAQlbXY2Fha8kC5jrGNWmZmZlR6j6rC0NCQzuDK3l6+fInKykr6fi4uLryDuLm5OVy/fl1hJVKZxKe6ulrhIHdgZUNPTExEZ2cnGhsb0dTUpJCQLC4u8u79owKQubk5mqhRZI36+ZcmVf0+cOXKFfzt3/6tXEMaNX76kEql+O677zh/NzY2hmfPnnH2pioCV2Xu3bt3RPVMKBRiz549cqVmlARMlkg1NjYyyFxDQwORLHF2dkZISAgj2O/t7YVUKlX4HkZHRxnyPWClb0wgEDBeQ1tbm0Lrd0UQi8W4ffs2p2tkREQEPDw8GGROJBIhJiYGk5OTDPnnxMQErl27hkOHDvHuaevv70dWVtaq3CFfvHiBnp4e7NmzR2EFUE9PD9bW1owqVnt7u9J9XyqVIj8/nyDdLi4u2LJlC3F/X19fFBUVMdpGysrKlCYNzczMEBsbi5iYGAwMDKCmpkahPJcLfMkbG+7u7kSiuqOjQ2HFWCKREFU5Y2NjTnMTW1tbomfxzZs3NJnjGhTOjqsWFxdRUFDAabamoaGBhIQEREZGMq4jNZlTQ40/M3R0dIiLva+vj7NB2cHBAceOHUNNTQ0ePHhABLMLCwu8JSIODg7IyMjgNWcNANzc3AgypwrGxsZw7do1oi8KWFnMKXcutgvgxx9/jMuXLzM2iLq6OlhYWBDac0WYm5sjyJzsJqOtrQ17e3tC2jczM0MQPL4ZZQpUE7qpqSnMzMxgbm4OMzMzmJqayu178fDwYJC57u5uXtIYqVSK3NxcpVUeRWSusbGRUyIlm5EHVj4boVAIV1dXuLq6IikpCf39/WhsbERjY+N72ZI/fvwYFRUVRB/Pjw2hUAgtLS16ZAP7/xMTEwqlw6amppibm1NYzXxf/P73v+c1N1CNnx6omVXsbL0sioqKUFRUBFNTU9pxz9HRUSGB4CJz2dnZxHm4ZcsWpeYY3t7eDCLV2tpKVzOmp6eJKru2tjbtiCmL+fl5TmdkWciugcCfBkpLJBKiQtjQ0IDg4GCFr50Nal4o2+4eWJkjGRkZSfTrmZqaQiAQICkpCcPDw4y5eu3t7YRLrzzU1NTg9u3bnKOENm3ahHv37jGOu7q6EsS2v78fJ0+eRGpqqkLTDGdnZwaZ6+jooI065OHly5eEU6OJiQn27NnDea5paGggIiIC+fn59LHW1lYMDAzwGuhNkSpVq3PW1tY4ePAg71hGFrq6unBwcGBcb83NzQrJXHV1NbG3JSQkcJJHgUCAoKAgxnzIuro6bNu2DZqamkRyky2x7OvrQ05ODqfbqampKdLT0wkHcYAkc3wN637OUJM5NX502NjYEGROHgQCAQIDA+Ht7Y2ysjKUlpbydtyisH79emzbto23Zh5YyWDJjigYGhrC5OQkrwpAXV0d7ty5wykP8Pf3x/bt26GtrU0MmxUKhbCwsMD+/ftx+vRpxt8/fvwYlpaWvANWtlOipqYm5yLIhr6+PlxcXODi4oKpqSnGRsUX4eHhCA8PV2m2Dztrury8jL6+PjqjJw+vX78mNPjOzs7Q19dnbBzyyFxbWxuuXbtGVPXi4uKgra3NsPhnJxMEAgFsbW1ha2uLhIQEjI6OoqmpCY2NjbwHCcvihyRy9vb2cHV15SRksrP22D8r+w6fPHmi8PrdunUrvLy8IJFIMD8/T/R1sv/P7v3kc60vLS3h2rVrqK+vR3JyskpyZDV+HEilUrx58waFhYW85efj4+N49uwZnj17Bl1dXXh4eMDLywtubm4EeWP/DJD7jK+vL69+IS8vL0Y1Y2lpCW1tbfDy8sLt27eJ6zYpKQkmJiaQSqUwMDBgrD09PT1yA82lpSWiGhEUFERL4Dw8PBgGFHV1dSqRudnZWVy6dIlQumhoaCA1NZWWEcomEgHQVTBNTU1kZGTgm2++YayFz549g42NDSE9pUBVdriqT5RRlI2NDUHmtm7dit7eXuTn5zPWAYqYh4WFITExkZNUuLi44Pnz5/TP3d3dCuWEnZ2dKCwsZBwTiUTYt2+fQhnp2rVr8ejRI4aMvqysDLt375b7N8BKlfbx48eMoel8MTg4iD/+8Y+Ii4vD+vXrVYprgJXzSJbMtbS0yK0YLy0tEZJYa2trhYPbAwICGGRufn4ezc3NBIkE/iSxlEqlKC8vx8OHD4l5tcDKdZCUlMR5XS8uLhLJXHVlTg01/gywtbVl9MNxVa/Y0NLSQlxcHIKDg/Hw4UNOiQgXUlNTsW7dOpVfo52dHdEf1dbWpvCxlpeXaedNNjQ1NbFt2zYEBwfTiyZbamJsbAyBQABLS0vs2bMHly5dYpCMmzdvwsTEhBcpY/c8ODg48DZwkUqleP36Ne7du7eqisr9+/dRU1PDaBhXBl1dXVhZWWFoaIg+1tnZqZDMjYyMEJVNXV1d7Nq1iwgcuMhcV1cXsrKyiEb3iIgIxMTEEFlEZVJNc3NzREZGIjIyEtPT02hqakJTUxPevn0r16J6NTAwMKCrntS/ZmZmkEgkOHPmDOffjIyMIDU1FZaWlt/b6wBI2Qwbubm5cHBwgJ6eHn1TBUtLS5ibm8Pr16+V9tnU19ejo6MDycnJ6irdTxhUNW41gSyFubk5emaXUCiEi4sLXbUzNDRU6tBnZmYmt0+ODT09PTg5OTHW1IaGBszMzBDvwcfHhyY1AoEA9vb2DALW29uLtWvXcj5PfX09QQxlpWx+fn6Mx2pvb8fMzAyv5MW7d+9w4cIFooIhEomQkZHBqMywyZzs3DFDQ0Ps3buX06XX0tKSaKOYnZ1FTk4OUWEDVhJ4GRkZ9MgUtnPz3Nwc1q1bBzs7O2RnZzNce4EVZ0dKdinrSA2suG3KEnCxWIyenh5OCeTExASys7MJEpGWlqa0wiYSiRAWFsboJ6ytrUVCQgLnvLbu7m6UlJRwVkZVwfz8PAoLC/Hy5Uts3boV7u7uvP/Ww8MDDx8+pH+emJjA8PAwrKysiPu+ePGCIEqbN29WeN2YmJgQfZfV1dXE/qmlpQU3NzdMT0/j5s2bnOonLS0tpKSkyE0UAOCs4qnifvpzhZrMqfGjgx3gDw0N8WrCBQAjIyPs2rULoaGhuHv3rlIJYFFREfr7++Hr66tUmiMLDQ0NuLq6Mqo+isjc6Ogorl27xukAaW5ujoyMDIYDJ8BN5ii4u7tj69atjGwh1XR+/PhxpRVCNpljN4XLw/j4OHJzczk3X2BlA1YkiaIwMDCAU6dOYcOGDYiPj+dlK+7k5MQgc4qeZ3l5GTk5OYT5TWpqKoyMjIiZauyNpL+/H5cuXSL+Pjg4GImJiRAIBEofQxEMDAwQEhICR0dHPHz4kDHgWxkEAgGMjY0ZZE32X3mfpaJZT/Pz87hw4QKOHTv2vfWXjY+PE4mYwMBARqJlenoahYWFSjPV8kBVB9k9SdT1yQ6KZmdnce3aNTQ0NCApKUldpfsJgarG3b1793uV3YrFYrS2tqK1tRV5eXmwtbVVKBsTCoXIyMjgzPLLg4+PDxGcspM9+vr62L59OyPQZZM5RfsVOwno6urKqDB4enoyBlZLpVI0NDTIHcxMYWhoCBcuXCCUBbq6ujhw4AAhtWcHx+zA2N7eHsnJyQx5qawhCnXNKXKT5lLL6OrqEmQOAKysrHD8+HHk5eURSdy+vj58/fXXSEtLg4+PD31cR0cHNjY2jGpse3s7QeaWlpaQlZVF9IpHRUXxTgiFhYWhtLSU8b2Ul5cjKSmJvk9XVxceP34sd1+l3n9ERAQcHBxw9uxZxu+io6NRVlZGJAVHRkZw8eJFeHh4YMuWLbzkhVZWVjAyMmKQtJaWFoLMzc3NEeMAnJ2deXkHBAYGMq6XlpYW4rzy9vZGe3s7bt26xdmrb2dnh927dyslZmySb2xs/Bfhcqwmc2r86GBnuyQSCQYHB1WyZre3t8fRo0fxD//wDwrvNz09TQ/n1NPTg7e3N3x9feHs7KxUnuDm5kaQOYlEQhDC2tpa3Llzh3OwdmBgIFJSUjgDcEVkDljZJIaHhxl9FNPT07hy5QqOHj0qd8GanZ0lLIyVkTmJRIKKigoUFRVxWtTr6ekhKSkJfn5++Id/+AdGxfCDDz5AXV0dEYxIpVI8e/YMDQ0N2L59u9LsoZOTE8MJq6uri/PzBlZIOps4h4SEwNvbGwAUErHh4WFcuHCBkHf5+/sjJSWFDsbYj7GwsMA76UANh1/N8PPo6GjExsaqJFMFSAc/NiYnJ3HhwgUcPXp0VcYJbLCrcrq6ukhLS8Pc3ByjYlFTU0PPXloNKioqiEBg586d8Pf3R11dHfLz84mKRl1dHdrb25GSksJrIK0aPyympqaQm5vL6D3jC5FIhN27d6O/vx/Nzc1KR6ZQMyDlwc/PD0KhEDMzM9DV1eV1nXl7exMqAHZgnZaWRlSe2SqKwcFBzjVkYGCAIHpskqalpQVPT0/GmlJXV6eQzHV1deHy5csEeTYyMsKhQ4c4K/Xsyhy76gWsJL36+/sZa/7k5CSys7Nx+PBhNDY24tatW8ReIhQKkZyczCkPledACqy89507d8LJyQkFBQWE7PLq1au0QRW1r7u4uDDOA3aCk+q3Ziek3N3dER8fT7w+edDV1UVwcDBD1llVVYXY2FgMDw/j8ePHaG9vl/v3enp6iIiIQGhoKLS1tTl7rylV0oMHDzj3lJaWFrS1tSE0NBSxsbEK13eBQED0qLe0tBCz+EpLS4nzRllVjoKvry9DHiuRSIj31d3dLVdhFRUVhbi4OF4S0r9E8xNATebU+AlAW1sbFhYWjIxKX1+fynO2VLE3BlZIDmUbr6OjA29vb/j4+MDV1ZVTgsgmH/Pz84zXubS0hLt37xJN68CKrDI5ORlr166Vu/gpI3NU0/no6ChjI+rv78fNmzexZ88ezsdmb1oikUihNHN4eBi3b9+WmzUOCAjAtm3b6EBFR0eHETxLpVJaCnHnzh1i0Z6YmMDFixcREBCArVu3yq2WsPvmFhYWMDg4SEh32traCBmlpaUlowmf3RxOkbnx8XGcP3+eqGJ5enpi586djMCOTeaox+EKbij09/ejpKSEGK6qCkpKStDV1YXdu3er1OSuoaGhdHTC8PAwrly5gkOHDr139pJN5ry9vaGhoYHt27fjyy+/ZLyO3NxcODo6qlwpm52dxePHjxnH7O3t4e/vD4FAAH9/fzg7OyMvL4/4zGdnZ5GdnQ0/Pz8kJyf/4ofI/hQhlUpRXV2NwsJCzvOSqmCzv2NZLC0toaamBhkZGYiPj8e7d+/Q3NyMpqYmdHR0cPbYKAIlz6RADRjmmnVISYOpYffyejhDQkI4q4G2trYMuZ9UKkVfXx8xN48939LQ0JBz5Iafnx8jmO/o6MDU1BTnOtHU1IRr164Rr9nS0hKHDh3irNBzmRXJq4xs27YNQ0NDDAVFZ2cn/vEf/5Hz/gYGBti7d69c6TybgLATNAKBAMHBwbTskh3EP3/+nJZdUlK/0tJS+ve9vb1YXFykE6vPnj0jyISZmRnS09NVTqSFh4ejoqKC0Vf5r//6rwr/Rl9fH5GRkVi/fj0j2csViywvL9NmLJQqiU1CJRIJnj9/Tg/qXr9+vdz34enpyYhburq6GO6ok5OTDHIKrBA0Pi0ewEqM5+3tzTleigI7aQCsnCO7d+9W6gi6sLBAzyyUlbgC+ItZ59VkTo2fBGxtbRlkjk/fnCyam5vx9OnTVT///Pw8Xr9+jdevX0NbWxuenp7w8fGBu7s7HeQaGRnB0tKSQU5aW1thb2+PkZERXLt2jXOIp4WFBTIyMjg16LJQRuaAP0mCTp8+zahO1NfX49GjR5wZRK5+Oa4Ml1gsRmlpKUpKSjh7uoyMjJCSkgJPT0/GcT09PcZGS/3fwcEBn3zyidzHrKmpQUtLC7Zs2cJJcqmxBbLvs7Ozk0HmZmZmiLETQqEQ6enpDHLCJmKzs7N49+4dzp07R8iNXFxckJGRQXxG2traRAAnj8z19PSgpKREYR+QSCRCaGgoIiIi8Pvf/16h8UNHRwe++uor7Ny5k9egYQp6enqMYCwlJQXPnz9nXGtdXV3IycnB3r17VQ5aKExOThLkn6qAGRkZYdu2bQyH0NnZWRQUFGDPnj0qPU9xcTHxOW3dupVx7lBBYm1tLQoKCuRW6davX4/Q0FDo6emt+n2rwR/KqnEBAQFISkriDKidnZ0Zror19fX0eBgTExOEhYUhLCwM8/PzaG1tRVNTE1paWlSe5Qms7AXvI/s0MzPjtK4HVipKVlZWjH2it7eXQeYWFhYYs7+AlcoX1znq4eFBjK+pr6/Hhg0bGPd79eoVcnNzCWMnBwcH7N+/X27lhl0BpyTfXKD2pm+++Uapm7C9vT327t2rMDnFfk3yvhNra2scP34cubm5BFno7e2lZZeurq7Q0NCgyb5EIkFXVxfc3d3x9u1bwglbS0sLmZmZShUObFAGHIpG48jCwMCAJnFcCTV5ZI4ifE5OTjh+/Dhev36NoqIiQv4/NzeHgoICup+OSxbp4uLC2NukUina2trg7+8PAHj06BFj3xMIBEhISOD1/igEBgYqJHNseHp6IjU1lU54UGSN619F13ltbS3S09NVeq0/R6jJnBo/CdjY2DA2cUWyGDbevXvHOUeOjfDwcOjq6qKhoUGhNIfaTGtqaiASieDh4QEfHx94eHjAzc2NQeba2tpgZmaG3NxcTjliUFAQkpOTefWI8SFzwEqAvn//fpw6dYqxiJWUlMDS0pJegCnw6Zfr6+vD7du3OckosCLx2bx5M2dfiaIMqlAoRExMDHx9fZGbm0u4as7Pz9MzjrZv305IIpycnAgyFx4eDmBlw+HS1ycmJhL9iFxVta+++orYBOzt7ZGZmSnXZtnAwIDR88HeOLu6ulBSUqJwdIW2tjbCwsIQHh5OZw2trKwYjpdaWlpYWlpiBASU+1x4eDg2b97MS3Kip6dHBGSHDh3C6dOnGSS2qakJeXl5RI8PX3DNC5LNpgYGBqKhoYHRK1hXVwcfHx/evShDQ0NE1TsgIICzgi8QCBAQEAAXFxe5VbqSkhKUlJTA1NQUx44dU/fT/UCQSqWoqalBQUEBZ0BO9ZZRkmi286ujoyM2bdqEhoYGxtqSn5+Pzz77jHGt6ujowN/fH/7+/hCLxejs7ERTUxPnbM8fClu2bFG43tvb2zPWWXYS5M2bN4y9hKpAcUFTUxPe3t6MvbOuro4mc1KpFE+fPmW4CVLw9PTEnj17FFbk2dUSY2NjhesOlUg5deqU3PsEBwcjKSlJqQEXm0QpcvfV1tbG7t274ezsjIKCAkbicH5+HllZWQgPD4eNjQ3DvbO9vR3m5uacDsa7d+9WahC1sLCA/v5+xo3dsyUPBgYGiIqKQnBwsMLvgOt37OqqQCDAunXr4Ovri6dPn6K8vJxInlLtBJ6enkhMTGT004lEIjg7OzN6jltaWuDv74/h4WHCVTUkJERl+aKbmxv09fV5z64dGBjAv/3bv6lcaWdDLbNUQ40/I9gmKMPDw7z6kZaXlznnBW3btg1tbW2Mykh7ezs++eQTxMTEYGxsDA0NDWhoaCCsmWWxtLSE+vp61NfXQygUEoFuT08PpxxRJBLRsko+WFhYIN6DPDIH/Knad/HiRcYmdOvWLZiamtLyh5mZGULmKBtkLy0t4dGjRygvL+fMJJqZmWHHjh0Ke+zYZI7LeMPCwgIffPABqqqqcP/+feK9dnR04Msvv0RsbCwiIyPpgMHJyYkx66ezs5O2Ta6oqCAqXx4eHggLC+N8jbJZWQAEkbO2tsaBAwcUBmJcZE4qlaKjowMlJSUEcZaFjo4OwsPDsWHDBiJQsbS0ZASxPj4+WLduHa5fv05kuZ89e4auri6kp6crbQZnS0xmZ2dhbGyMgwcP4ttvv2V8Bq9evYKBgYFK/SEU2GTOy8uLEfQJBAJs376dlu9QyM/Pp0dHKIJUKsW9e/cY56impqbSQfKyVbr8/HxOMjE+Po5z587hs88+U/hYaqiO6elp5ObmyjX88ff3R1JSEn2eSqVSwuiIcj/dvHkzw2RjbGwMZWVliImJ4Xxs2RmQvr6+nIPIjY2NMTc3x9nfvFrcunUL+/fvlysftLe3ZyQlZPcPqVRK9Bp7eXkpNCny8/NjkLnu7m5MTEzAyMgIhYWFnER27dq12LFjh9KKtLyxBPIglUqVqmpCQ0N5OSkr6pnjgkAgQEhICC27ZCexnj17RvxNU1MTWltbCaIYFxdHyFrn5+cZpK2vr4/TOZEvtm7dCj8/P6XJM67PiitxDKyQ2k2bNtH9dOwxPcCKiqm1tRVhYWGIiYmh928PDw8GmWttbYVEIsHDhw8Z665IJFI6o48Nan6eKpVyZdVdvlBFyfJzhprMqfGTwJo1a4hegoGBAaVzxe7evUtU8fz8/BAWFgYzMzNGsD84OIiuri44OTnBzMwMGzduxMaNGzExMUETO0WOiXzt5C0tLZGRkaGS7Tu7KgdAqcugm5sbtm3bxmjEZztcssmFlpYWLVPs6OjAnTt3ODckgUCAiIgIxMXFKSXUynobZB8zODgYnp6eKCwsJBq3xWIxioqKUFtbix07dsDe3p7oJZmbm8PIyAgkEgkhi9HX1+cczks9t4GBgdwNwtzcHIcPH1ZqBMKu8L158wa1tbUKzxs9PT2Eh4cjLCxMrmMeW4I7NDQEJycnfPrpp7h16xYRDFOubdu3b1c440fed2NtbY39+/fj/PnzjPO6pKQEBgYGvOZtUZieniYqrlzmJgYGBkhKSsL169fpY7Ozs8jLy0NGRobCoKa1tZWodkZGRipMeFAQi8VYXl5WGLgODQ3h+vXrjF5QNVYPPtW4lJQU4jyZmJggZM/UHrBu3TpUVVUxyM+TJ08QGBjIafsuC7YSw9TUFL/+9a/pn5eXl4mZhuwZiLOzs+ju7lZKKubm5vDdd99h69atCA0NJc5rdp8RJRczMjJCV1cXkXxT5k7p5uZG9MZWV1djcHCQ0xwjKioKCQkJvCrw7L1BUX/w4uIip8MkG6dOnUJCQgIiIiIUvga++woba9aswYkTJ3Dnzh2lhlNcA7q9vb0RGhqKtrY2Bnnj6ul6H+Tk5OD169fYtm2bQtdJrkqosnmbpqamyMjIoOflsc9/iUSCZ8+e4c2bN4iPj0dISAg8PT0ZscTs7CyePXtG7D0RERGcShdZiMVi9Pf3o6uri779kHNTFUHRGINfEtRkTo2fBLS0tGBhYcHYyJQNia6uriaymObm5tixYwcEAgHc3d2JnquKigqCIBgbG9ODraemptDY2IiGhgZ0dHTw1r3LIjIyEiKRSO7gTS6wyZyenh4vQ4rQ0FBCfkY5XH744YeEa5ajoyOWlpZQUFDAadQCrAT6qampvGfCqSKHAVaC+j179iAwMBD5+fnEex8aGsLp06cRFhaGhIQEwja5tbUVVVVVBLnetWsXZ4VHLBZjYGBAYaZPX18fDx8+ZAzIlr1pampCJBIRgZaiqq68hnYusIn/8PAwpFIpdHV1sW/fPrx48QL37t1jvOfFxUVcv34db9++RVJSEudzKKqaOjk5IT09HdnZ2YzzPD8/H/r6+rxdH9kSRmpeEBf8/f3pxAmFhoYG1NXVEfJgCmKxmDGsHVjpp2S7rbExOztLO9fykfbU1NTg7du3DMmfGqpjenqaU9pKgV2NkwVbYqmrq0sHugKBAMnJyfjmm2/o83V5eRmFhYXIzMxU+JrYwSzbXElTUxOGhoYKe7jq6uqIpIU8SCQSFBQUoKenB9u3b2dcmxYWFsQMtZ6eHvj6+hL7mZmZGVxdXRU+l1AohLe3N0MKxyWrBFaqQZRMnQ/4OFkCK3bwV69e5XReZEMsFuP+/ftoaWnBzp075SZkVK3MyUJbWxvp6elwdnZGYWGhSnM9Ozs7lZqVKINAICB6I7nQ1taGL7/8Ehs2bEBsbCxnsk8gEDBGUADyK3NsUP10b968wcOHD4l1cG5uDvn5+XQ/HdsTgJ0w1dPTQ2RkJPE8CwsL6OnpoYlbT0+PUsKpCqhkrJGREYyMjOhrlf3z5cuXGQnsDRs2EIZpv1SoyZwaPxnY2toyFhJFco3h4WHk5uYyjmlqamLv3r30gigQCGinJwoNDQ10FpQLhoaGCA0NRWhoKGZmZtDU1IT6+nq0t7fz1m7funULwEowb2dnx7jJa6bm2y/HBuVwOTY2xiBu/f39uHXrFrGZLC0t4Y9//COR/Qb+1N+2ceNGXv1YFNhBGd9N19PTE87OzigqKmI4f1GoqKhAY2Mj8Xj37t0jHisiIoImEPPz8/TG0t3djd7eXqWbH7UJfR+giIayXghZsCtzy8vLGB8fh5mZGQQCAcLCwuDo6Ihr164R2eTXr1+jp6cH6enpxJgP9nfDJto+Pj5ITk5GXl4e4/j169ehp6fHax4hW2Lp4eEh930LBAKkpKSgs7OTQSwpuSVXxvfly5fEe960aZNcgjwyMkJnnVUNKGZmZpCVlUWbcXwfIxv+UiCVSuWazgDyq3Gy4JJYyibEbGxssH79eobbY1NTE5qbmwljJlmwyRy7p1YRxGIx7t27t6q+u5qaGgwODmLv3r10745AIICdnR1jxhhlgsKWxYWEhPBKCPr5+RF9TbLQ0NDArl275CZM5IGPzLKurg63b99WWapKmTqlpKRwvq7VVuYoCAQCrF+/npZd8q2sqfo8GhoasLKygo2NDWxsbGBrawsrKyuIRCIUFRURs9nYkEgkKC8vR01NDTZv3ozAwEDiO9fU1GTsYaqsaxoaGnQ/3ZMnT/Ds2TOC3A4NDeH8+fNKHysmJgba2tqYnp5GV1cXOjs70d3djYGBgVUlvrng4+MDZ2dnBlnT19dXKgleXl4mkkHKXDB/SVCTOTV+MrC1tWUMA5ZngrK4uIirV68SAfr27duJoHjt2rWMWWlSqRSVlZW8+oL09fURHBwMJycnXL9+XSVTFmAlMGxubma4t1lYWDDInbW1NYRC4arJHPAnF7FTp04RDpdsyMss29vbIzU1VSVpKIX32XS1tLSwbds2BAQE4M6dOwT55KOb19XVhZWVFfLy8tDd3a00G/pDIjk5GevWrePVEyILfX196OrqMj674eFhRvBEyYcKCgqIwG1kZASnTp3C1q1bsX79ejoY4OqZY2P9+vWYnp5m2MGLxWJ6fqGiwHd2dpao/iqbH6evr4/k5GRcu3aNPjY3N4fc3Fzs27ePEcjMzc0RVtO2traEdIbqW3z27NmqZpexUVNTg/b2dmzfvp3TEl4NJpRV4/iOg2AHY1zKjISEBNTX1zOqDAUFBXBxceFMIojFYqJixE56yMPExASys7M5K/CGhoZEUiwoKIgYaD80NIRvvvkGO3fupCu+9vb2DDLX09ODqqoqRsJQKBTy6rmWSCRKK08HDhzgNdxZFsvLy8T6K1uZU0Ry2ZVHYGVPY+9z8/PzyMnJQXNzM5KTkxnJzvepzMnCxsYGhw4dwhdffLGqv5eFUCiEtbU1TdxsbGxgZWUld71nJ5zc3d0REBCA+/fvE+ZZ09PTuHnzJl6+fImkpCSGMob9+Kupemlra2Pz5s0ICQnB/fv3iSQcH/T29uKLL754r15BZWhpaYGzszO8vb1VMuPq7u5mXAcCgYBQYf2SoSZzavxkwC6HDw8PM+bAACtB2507dwjHqODgYAQFBRGPqaOjg8DAQIaksLKyEtHR0UoD7sXFRTx58gRlZWXv7ahEYWRkBCMjI/SGr6mpCRsbGyKIEQqFmJ2dhVAopG/K+gu4HC6VQSQSYdOmTQgNDV21PTsfAxRlsLOzw/Hjx/Hs2TPCBlkZ5ubm6Groj42+vj64ubkpNQpgg5LlyJLtoaEhgkhoaWkhLS2NdmmUzYaLxWLk5+fj7du3SE1Nha6uLu/vJjY2FlNTUwz794WFBVy4cAHHjh2T25PU1NREmJLwaTj38/Oj5ZWyj1VTU8Mgao8ePSKCONlRBGKxGLW1tXj27JnS4dEuLi4IDw/H3bt3GcFIfHw8ent7CRJIyZUDAwOxbds2dZWOA8qqcXp6erwHtc/PzxOJGLYcElhZ0xMTExmjLt69e4enT59yJulGRkYIssOHzLW2tuL69euc72vt2rWIjIzEH//4R8bx5ORkeHt74+bNm4x1eGFhAVlZWYiKikJ8fDzhwNrb28swVgJW5KjyyC9lNFJdXY3a2lqlMuLKykosLS3Bw8ODt+qCq5JFkTlFJNfa2hoZGRnIzs5mfJ+UZP7GjRsESaypqUFXVxd27txJqwG4koSqtC5MT0/Tkm5FxlTyoKmpySButra2sLS0VEm1wiZzS0tLCAwMhJeXF548eYLy8nIitujp6cE333yD4OBgJCQkQF9fn0hS8JVZcsHU1BR79+5FR0cHCgsLVUp+skdmKIOlpSUcHR3p28TEBGFEJOuVAKwQ1YKCAjQ3NyM1NVWpdwAF9ne8Zs0alcdK/JyhJnNq/GTANkEBVuQxshv6ixcviFklNjY2SEpKkvu4oaGhDDI3MzOD+vp6uY2xUqkUjY2NKCwslFsZ0tPT4wyM3d3d0dvby7s6xSUNAFakK+zmbQ0NDQa547qpQuRcXV2xfft2hU3tfPC+chgKQqEQGzduhI+PD/Ly8hiZ6x8CVE/b0tISlpeXsbS0RNyo4+/eveNFUl+/fo03b97A398f0dHRKlU6LS0tGWROUf9JYGAg7O3tce3aNUKO3NjYiL6+PqSnpyuVWVKg5I+zs7OM6sr09DQuXLiAjz76iDOwZGd33d3deY3hAFYC346ODs4Ki6GhIUZGRogeIj8/Pzg6OmJubg6VlZWoqKjglAxT0NDQQEBAAMLDw7FmzRpavioLV1dXREdHyx1mXV1dTffSqat0f8L09DTy8/PlZvj9/PyQlJTEe+QD2xVYKBTK7dsNDAzEq1evGLLM0tJSBAUFEYkUNsk3NjZWSMwlEglKSko4B5cLhUIkJycjODiYMwgWiUTw9vbG8ePHcfXqVQwNDTF+//TpU/T19RH7lVgsJvYaLuOTd+/eobq6GjU1Nbwt8AHQpEZPTw/+/v4ICgqCjY2NQmLEvk709PSgra2tlOQmJydDJBIRyUGJRAJnZ2d89tlnyM/PJ4jBxMQEzp49i40bNyI+Pp74jiQSCZaWlhSuL5OTk/R75dvfyAUHBwfs2rXrvfdG9mul9meqSrZu3TrcvXuXcx7pq1evUF9fj7i4OOKzVLUyJ5VKMTMzg8nJSUxOTmJiYgKTk5OwsLD43pQsGhoasLW1ZZA39nfIllGbm5tj165duHHjBiGlp/oJ5clw2eAzgumXDDWZU+MnA5FIRDQN9/X10WSut7eXMELQ0dFBRkaGwiqbtbU1nJ2dGRf7ixcvOMnc6OgoCgoK5M4JMzQ0xJYtW+Dn54cbN24wNiSq6VpbWxvj4+Po7e1FT08Pent7MTAwoFITNhckEgm9ob0PdHR0sHXrVgQFBa1qphgb75tBZcPMzAyHDh1CdXU17t69uypySAWCDg4O9O3kyZOMgCk1NVVhnw0FqVSKK1eu8JbvUU5+NTU18PHxQXR0NK8mbC5HS0UwMzPDsWPH8ODBA8J2e3JyEt999x0xw21+fh4SiYSzCquhoYHdu3fjwoULjE13dHQUly5dwpEjRxjByfz8PEG4lUksZUFVba5evcp4zDt37mD//v24d+8eITsLDg5Gfn4+Xr9+rfA60NHRoYeCy2Z2R0dHid4OS0tLCAQCBAUFwcXFBbm5uURwJVulCwsLg4mJyV/sXLqpqSl0dnYiPz//vatxsmAHera2tnLXdcoM5euvv6a/T7FYjIKCAhw4cICx9rCTHYqqcrOzs7h+/Trn+k85BFLXMjtxpqWlRT+vubk5jh07htzcXIK0vH37Vml/0po1a2jXy7m5OdTV1dHVq/fB7OwsKioqUFFRAQsLCwQFBSEwMJCz+sHlZPno0SNOkqupqUlLzCmw1xjqe9LR0cHu3bvh4eGBvLw84nMsLS1FW1sbZ4J2fn6eIEgTExOor69HQ0MDZ2J0Neju7sYf/vAHhISEICoqSqExjiKwDU3YfYXm5uY4cOAAmpubUVhYSBDo+fl5FBYWEo8ru/ZJpVLMzc0xSBr1r+ztfeMPNrS0tODg4EATNzs7O6U94uyEhbGxMezs7PDJJ5/g/v37jF5Y4E8y3KamJiQnJ8tNwiwuLhLJoL+kfjngF0DmZmdn8Yc//AHZ2dlobW3F4uIiHBwckJKSgl//+tecMg1VsLy8jOLiYty7dw/Pnj1DY2Mj3r17B319fbi6uiIhIQGfffaZUj36hx9+iLNnz/J6zvb29r+4rAIFGxsbgswBK99zdnY2IUnYuXMnr+xZaGgog8z19PSgr6+PzvxSkkquYZvAysYUHh5ONwADQHR0NGOjXlhYwPPnzxEbGwszMzOYmZnRtvHLy8sYHBykn7enp+cH1Z0rgoODA1xcXL4XIgeQZI6ygudr/sEFSu9uamrKi8zp6urSpM3R0ZEIBKVSKVFZ42tB//Lly1X3YVFZYg8PD8TExHAOuKbAruJRIxgUyV+FQiG2bt0KFxcX3Lp1i/EeKQkcG3Nzc3KJiEgkQmZmJr777jsGmezt7UV2djYyMzNpmVFzczPjWtHQ0OBFjmXh4+ODgIAAxnXU0tKC69evE4RKLBYrDYLNzMywYcMGrF27ljODz652GhkZMQIuIyMj7N+/H2/evEFhYSERaFZXV9PW66mpqVi7du33dh391NHf34+TJ08qvI+vry+Sk5NXRXT59MvJwtraGhs2bGAkMlpbW9HY2MhIKrArD/LIXE9PD7KzsznVGF5eXti5cydDtsUOzNmBu5aWFnbt2gV7e3vcvXuXsXcp6wVeu3YtGhsbUV1djZaWllUH4kKhUO7fjoyM4OHDh3j48CFcXV0RGBgIHx8f+rphE4ve3l5OWSUl22N/ruzrgr13BwQEwNHRETdv3iSqKgMDAzh37hzxXHNzczAyMsL4+DhN4BQ5Cr8PxGIxKioq8OrVK4SGhmLjxo0qn9fsNUieSYynpydcXV1RXl6OJ0+eKE3Y3rlzB7W1tTRp+z6dI5UhNjYWXl5esLa2Vrk1g90zSSURqLm8Xl5euHXrFqG2qK2tRWdnJ9LS0jhj7e7ubsb5JRAI3jv2/7nhZ03m2trakJKSQszBaGxsRGNjI06dOoVLly4hOTl5VY8/PDwMHx8fzlkkExMTqKqqQlVVFb744gv85je/wd/8zd+s6nnU+BNsbW0Z5g59fX2QSqW4ceMGsRBs3LiRt+zJ29ubsLh/8eIFUlNT0djYiLt373LOegNWyvXJyclEsG1paQk/Pz+GHPLZs2cIDw8nNnZNTU3a9ITC3NwcsrOzCQOJHxotLS344osvsH79ekRHR793hYErW0YNp14NqBk4jx49Urqpbdu2Da6urrCwsFAYVFOSSVnwIXNDQ0OEe6a+vj7Wr19PZKhdXFzQ29vLuWG3tLSgpaUFLi4uiImJgZOTE/F62ZU5sViMsbExhTOIKHh6euKTTz7BjRs3lPaHzM7OKvzOdXV1cfDgQZw+fZoYCXHnzh16lh9bXkfNu1IV27ZtQ3t7O8MQgIuEKoKjoyMiIiLg6empMMBgkzkuGaxAIMDatWvh6urKWaWjcPv2bdy+fRuOjo50T42NjQ3Mzc1X3X/6U8Hs7Cw9GJmas8Xu6ZKFnp4ekpOTiUowX4jFYiIo5xOMxcXFoba2lnHu3L17F25ubtDS0qLnlcqCTTqkUikqKiqISjCwci5s2rQJkZGRxPXKJvrybOXDwsJgY2OD7OxshZJgWXC9Fi6YmJggICAAgYGBePnyJZ4/f07/bt26dUhMTER9fT3evHmjsGr19u1bvH37Fnl5efD19UVgYCCvZKO3tzfS0tI4r3sumSUbxsbGOHLkCMrLy1FUVMQgnlwk9P79+/S5yQdaWlrw9PSEj48PHj16pFC6bmxsjOnpaeJ5l5eXUV5ejsrKSmzYsAERERG8+2f5kjlgJUaIjo5GUFAQ7t+/r3QN/HPHDRQqKyvh4OCwqjWOqzInCzc3N1qGy37/U1NTuHDhAkJDQ5GYmMhIFrM/Czs7O7kzXX+p+NmSuenpaWzfvp0mcsePH0dmZiZ0dXVRXFyMf/7nf8bExAQyMjJQXl6+qsGBCwsLNJFbu3Yt0tLSsGHDBlhbW2NiYgIFBQX44osvMD8/j88//xy6uro4ceKEwse0tbUlpIJssIeK/iWB3SMxOjqKBw8eoLW1lXHcyckJCQkJvB9XQ0MDISEhKC4upo+9fv0ag4ODcjcGWUmlPKIQHR3NIHPz8/N48eIFoqKilL6miYkJhbr+2NhYrFu3DmKxmPdtZmYGDx48UPrcYrEYz58/x6tXrxAeHo7IyMhVNwtz/d3c3NyqyFxfXx/u3Lmj1MyCwszMDK++NK5+N2UkdmlpCTk5OQQJpAxIXr58yej30tHRwd/8zd/g+fPneP78OWf/Ynt7O9rb2+Ho6Ijo6Gi4ubkxnCf19fUZjzk8PMyLzAErWc7Dhw/j6dOnePTokVyr6D/+8Y9ISUmBtbU1rKysODc9IyMjHDp0CN9++y2jMvrmzRsYGBggJiaGuCZVkVjKQk9PD9u3b8eVK1dU+juBQAA/Pz+Eh4fzXjP5kDkKVJWusrKSGN0gC/ZYC5FIBBsbG6xZs4YmeBYWFj8Zgre8vMyoWs/OzjJIW19fn9zEljx8+umnq5aiASuVGHbiRlllDlghUFu2bGEMop+YmMCTJ0+wadMmTExMED2QsmRuYWFB7nBpah6mPEc8LpmlPDg4OODEiRO4du0ar14uRUROR0cHfn5+CAwMZIxuYBMFLS0t6OrqIiQkBCEhIRgbG0N1dTXevHkjl5gvLS3hzZs3hCMnGwKBAJs3b1Y4+Jt9XN56JBAIEBkZCVdXV1y/fl0h4ZLX/iALbW1teHt7w8fHB25ubtDU1ERNTY3SGXjOzs5ISEjAkydP8OrVK+I7oNQ7FRUViIiI4EzassFF5pS1IBgZGSE9PR2urq64ffu2knerGgQCAQwNDWFsbMyY0VZUVMS7ukf1UYeFhWHz5s0qKXDkVeZkoauri/T0dHh6eiI/P5+4fl+8eIG3b99i165d9Lr/l94vB/yMydxvf/tbulH/N7/5Df7u7/6O/l1ERATi4+MRExOD2dlZfP7553KHaCqCQCBAYmIi/r//7//jHLQZHx+P9PR0xMfHY25uDv/zf/5P7N+/X+GmJhKJVJ718pcEqnQvu5CWlZUx7kNtsnyDI6lUivn5ec7ggIvIcUkqFb1eb29vhmlEeXk5wsLCFG7uy8vLuH79usJNu6WlBXFxcQqfnw3ZoIYPlpaW8OTJE7x48QIbN27Ehg0bVJZHCgQCwlZf1T63xcVFufPmFKG0tBSBgYFKCQ/b7U1DQ0OpUcf9+/eJvrUNGzbQbo3h4eF4+PAh/buGhgYkJCQgPj4eERERePHiBZ49e8ZJJLu6unDx4kXY2toiOjoaXl5etKOlbJZxaGiIF0mSSCQYGhpCV1cXhoaGlH6GsuTE1NSUJnbW1tawtraGmZkZLC0tsX//fpw7d46x0ZeWlqK7u5txTCAQ8KqSU2Yy4+PjGB8fp/+vqOrDhra2NoKDg7FhwwaVEwaqkDlgJRtcVVWl0nMsLS1xEjyRSESfCx4eHtiwYYPKdvHvi2+++YYxYoWtVlgtLl26hJ07d6o0v00W7KqRhYUFbxm0v78/Xr16xQjoysrKEBQURJiE6Ojo0OfM0NAQrl69yqm8cXZ2Rnp6OufcQwrKZJZsGBgY4MiRI3jw4AHKy8uVvS0GhEIhPD09ERgYCHd3d85eQjYZZq9vZmZmiIuLQ2xsLLq7u/HmzRvU1dWpZJpFvQ9FJJcCn8qcLKjRKw8ePGBUGPlAV1cXXl5e8PX1haurK8Nxcnl5mbFOAyu9aiEhIQzVBeWemJKSgo0bN6KkpASvX78m1tKFhQU8evQIz58/R2RkpMK9nuu4MhOXd+/e0c+tKmRnsxkZGdGkjfrXwMCA8b1IpVIUFhauSqZZUVGBt2/fYvfu3bwHcyurzMkiICAATk5OuHXrFtGbPTo6itOnTyMmJgYbNmwgxkapydzPBEtLS/jP//xPACvZ4P/+3/87cZ+IiAgcO3YMX3/9NYqLi1FZWYmQkBCVnsfOzo5zQLEsNmzYgF/96lf43e9+h4mJCTx48AC7du1S6XnU+BM0NTVhZWUltzIjEAjoTVYqlWJhYQFTU1OM2/T0NHGMb8+BPEmlIsTExDDI3OzsLF6+fInIyEi5f/Pw4UMisLSysmKQh76+PgwMDPCeiUSZbigC5ezJ3ljn5+fx8OFDPH/+HDExMQgODlbJgvl9yFxTUxPy8/NXFVRKJBLk5eXhyJEjCrOdbEKlr6+v8P5NTU1EM7a1tTU2b95M/xwaGoqnT58ygqHS0lJadhQdHY0NGzagsrISZWVlxFwhYOU7zsrKgpWVFaKjo2FhYcEgc/KyyYuLi+jt7aUHo3d3d6s8tJcCRaxkz2HKjMja2hpOTk5ERpxtxODi4gI9PT1IJBJMTk7KJWxcnwFf6Ojo0NXq1UhoxGIxEbizpa2y6OrqwtWrV5XavvMB5Y5KgZLd2tjYwN7enmF9/n1V8KanpxkVN3Y7AsBvjiMfDAwM4OTJk4iNjUVUVJTK70HVfjlZUGYoX331Fb2uSSQSFBQUED2qlGNydXU1cnNzOWXcGzduREJCgtL3wEdmyYaGhga2bNmCubk5XsG6k5MTAgMD4evrq1Q5wbdSSPUTOTo6Ytu2bWhqakJ1dTVaW1uVJoH09fXxySefKCS5FFQlc8DK/r9t2zaIxWLCyZYNPT09eHt7w9fXF87OznL3q+fPnxMVoc2bN2PNmjWM+G5ubg7d3d1wcnKCiYkJUlNTERUVhcePH6Ompob4bObm5vDw4UM8e/YMUVFRWL9+PUGyub4D9rglCpOTkygpKSHmDSpCeno6o8Kmyp4NACUlJcScQJFIhMOHDyMnJ0dphZ6abxoXF4eNGzcqvGaWlpaIuEBZMo5SiLx48QL3799nkE6pVIrHjx8T7Q4aGhp/cf1ywM+UzD169IjO5H7wwQdyT6APP/wQX3/9NYCVioWqZI4v4uPj8bvf/Q4APxmAGophY2Mjl8xJpVIUFxfTJO37bvzV19fHu3fvVOp7sbGxgaenJ8Mko6ysDKGhoZxVrrdv3xLug9bW1jh27Bi++OILRl9FVVWVwrELFCYmJhRKwShEREQgMjISjx8/xps3b4gNirIbLysrQ1xcHAICAnh9DqsZTzA1NYXCwkLO4ebAStVkx44dePDggUIXt46ODmI+GRuqmJ9MTU0Rc+s0NTWRnp7O2Ky1tbVpQkehuroacXFx9CalpaWFiIgIhIaGoqqqCqWlpZwb5NDQEHJycjiPAyuVRara093djf7+/u9t9iEXlpaW5BoecOHt27f4r//6L0xMTPygr0sgEKg8kJ0Cl5MlV0VXKpWisrISBQUFvN+LnZ0dJicnefdEUaCIFoXVzraampoietxUfS1saGpqYs2aNYwBydR+ygWJRILi4mI0NTUhLS1NIVGWhVQqJa5vVcgcsLJWhIeHM1QcVB+YLCwsLJCbm8sYVUNBR0cHO3fu5N2HrYrMkoKyNY/Cpk2bEBAQoFLlmUtmqQyUUsjf3x/T09OoqalRmMCem5tDY2MjQkJClBr/8JVZymJ5eRn37t1TSORCQkLg5+cHJycnpXvT7Owsnjx5wjjm5OREKyGsra0ZBjnNzc2MiqOZmRl27dpFkzouOe7MzAzu3r2LsrIyREdHMxKh8sicLKanp/HkyRNUVlbKTTpraWlhaWmJ+AwNDQ1XTVxevHiBR48eMY5paGhg7969cHBwgKenJyOhaW9vTw88l427JBIJioqK0NLSonCcA9e+x2eGHNV36urqihs3bhBVODbs7e3fy3zt54qfJZmTvThjY2Pl3m/9+vV0D4pswPV9Q3ZR/6n0RfycIW9uEYX3tWdWBGq+m4GBAQICAhAUFMRLOhQTE8MgczMzM6isrCTkuVwDroVCIXbv3g2RSIS1a9cyzu/q6mokJiYqDGClUikxpBYAdu/eTQzzHRgYgI+PD9LS0hAZGYlHjx5xBhbv3r3DzZs3UVpaivj4eHh7eysdWs5+n4pe78uXL/Hw4UNOiY9QKERsbCwiIyMhlUoJQrFnzx7cu3ePUVW4d+8ePD095Wav+ZI56rNkv/5t27ZxVmspNz1qc5NIJCgvL8e2bdsY99PU1ERoaCiCg4NRXV2NJ0+ecA7lZWN4eBj/+I//+L3aSjs4OGB+fh4jIyMqSVqVgc/7eR9QNt0VFRVITEykAzK+4HKyZJ8v1MBa2eHpfGBgYIBjx45hZmaGIFWqVL+Wl5cJEi0UCmmCp6+vj5KSEgAr/bqDg4Po6+t7r4onsBIw2dnZMYxcuKqEBgYGSp+rr68PJ0+eRFxcHCIjI5XuiVwV29UEqLGxsaitrVX4ecsjCTY2NsjIyFBprpgq5EkikeDly5coKipSKmvU0NCAq6uryhLi1ZA5WRgYGMDDwwOPHz+W+xopJURbWxtSU1MVGoGoWpkbHR3FtWvXlPZLBwYG8j4/uN7Lli1b6HXD09OTQeaampqQmJhIPI6lpSX27NmD6OhoPHr0iKFioDA1NYX8/HyUlpYiJiYGQUFB0NTUJGbnUt/TzMwMSktL8eLFC7lJaU1NTYSFhWHjxo3Q1NTEf/3XfzGUAg8fPsTRo0dVdtStra1Ffn4+cXznzp1wd3cHAILM9fT0IDMzk+5tZLeodHd346uvvsK2bds4XX7ZZE5HR0elc9TCwgIfffQRnjx5wjkeQ/Z1/iXiZ0nmZIN9b29vuffT1NSEm5sbqqurlRKE94HsiaXo9QArCxZlaT83NwczMzMEBgZix44dcgfz8oGyE5iv+9NPAd9ngLlaTE9Po7y8HOXl5VizZg2CgoIQEBAg1zTDzs4O7u7uDFOI0tJSQnrBJSfcvHkzncVet24dg8zNz8+joaGBHnHAhfLycqIBOCAgAAEBAaiqqmLI9igyB6xsUBkZGejr60NRURFnVXl4eBhXr16Fra0tEhIS4Orqyrlx8CVzQ0NDyM3Nleus5uLigpSUFJibmwNY2SDYRMbV1RVJSUnIysqij83MzODhw4dISUnhfFy2VE7e91hWVsY5Oy04OJjz/gYGBli7di0jSHz16hViYmI4r2WhUIh169YhKCgIdXV1ePLkidLGfFWInJmZGRwdHekRDdPT04yRKCKRiN78l5eXMTw8jMHBQQwODmJoaAgDAwO8hqO/L/T19WFiYgJTU1P6XyqQ5rIkl8XY2BiysrLg5OSExMRE3uYn7P5HNjmfmprC1atXOddSRRbvwEoQSFWHPTw86L5KYOXc6+vrw6VLl3i9TjbEYjH6+vqIjDS74vA+cHR0xP79+5VKBfX09BjEa8eOHRgbG0NZWRlj3RaLxXj48CEaGxuRlpamULbOTs7p6ekRg7/5QEtLC1u3bkV2drZKfxcSEoJt27apXPHl2zM3MDCA3Nxc3lVuiUSCGzdu4MSJEypVGN6XzM3Pz+PKlSu8eugaGxvR19eH3bt3y+2dU4XM1dTUIDc3l5dUvL6+nheZGx0dJch7QEAAw2TNy8uLcR2Njo5iZGREbg+2tbU19u3bh76+PhQXFxMmUMAKablz5w5KS0sRGxsLkUjEeF8TExOoq6vD8+fP5bo1C4VCrF+/HlFRUQxJa0xMDAoKCuifu7u70draylhvlKG1tRU3btwgjicnJzPiDGdnZ4hEIsZrbG1tRVBQEI4dO4bHjx/j6dOnBFG9ffs2mpubsWPHDsYeqEq/HBdGR0fR3Nys1EDoh1SG/JTxsyRzVCBIBQSK4ODggOrqagwPD2NhYeF7tyvt7+/Ht99+C2AlcxAfH6/w/tPT04wq4cDAAAYGBnDv3j38y7/8C65evaqw10oeVJWl/JTh7e2t1E2LDV1dXRgYGMDQ0JC+GRgYQFdXF3l5eavuJwL+9B3dv38f7u7uCAoKgqenJ7H5sx3+pqen8erVK4SFhQFY2bDYdrsuLi7YsGED/bOpqSlcXFwYBKyqqkoumRsYGCDMfYyMjOhxHGvWrGE8FnvmErDiIHro0CF0dHSgqKiIk2j19fXhwoULcHJywqZNm4jzTRmZW1paQklJCcrKyjgXW11dXWzduhWBgYEMssgO9KysrOhmd7a09eXLl1i7di1ncM8mKFwZZYrUysLQ0BA7duxQmPmMjIxEZWUlvaktLS2hoqJCrnkN1ZsxODi4agdRYKWaYmNjwyBv7F4WdgBpbGxMvxdNTU1aPieL6elpBsEbHBzE8PCwSqRSJBIxiJosYTMxMZEbaHJdp2wpFIXOzk6cOnUKAQEBSEhIULoXsM0wZAO2np4eZGVlcVadNm7cCGNjY0Ym29DQEBKJhJEkKCgogIuLC2GApa+vDw8PDxw6dAgXLlxg/C4hIWHVDpJ8QDlr6ujoKJyV2NnZibNnz+LgwYMKXV7Zv1tYWMDmzZvh7e2NW7duEZ9xb28vvv76a9oUiKtKx77GHR0dVz27j3Iw5NPuoKmpie3btyMoKGhVz6WsZ25xcRGPHj3Cs2fPOBOUurq60NDQ4OzJHBkZwYMHD3hJ7GWfTxaqkDmJRIKcnBxOMxh5mJycxNmzZxETE4OYmBjiu+Ujs1xaWkJBQQGnyZCmpiaSkpIwMTFBV6OBlWT+1q1blZ4jDx48YOw1QqGQcMC2tbUlqs3Nzc1KDbVsbW1x8OBBdHd3o7i4mHNMwNjYGCdpUuTaq6GhgeDgYERHR3NKEENCQlBeXs4wjHr48CHc3d15XTPd3d24evUqsQfHxcUhNDSUcYwqhshWIZubmxEUFER/lh4eHrhx4wahymhsbER3dzfS0tJoosle35SRObFYjK6uLjQ3N6O5uZn3XN4fqp3qp46fJZmjegH4NOHKbj7T09PfK5mTSqX49NNP6dfz93//93JlBwKBAOHh4dixYweCg4NhbW2N+fl51NTU4PTp06ioqEBvby+2bNmCJ0+eYN26dd/b6/y5YefOnZxkLjAwkCBr1P+5sqrLy8vIysoiNjkdHR1s2bKFsP0ViUSwtLSUq8mWSCT0wkLZQ1PkQSAQ0MO4ZRf20tJSBAcHY2Zmhuhpo3o02IvwunXrGI/R3t6O8fFxQgJEOWKyg+xdu3bRJIEtEVUkYXF2dsbRo0fR2tqKhw8fyg2gz5w5A09PT8THx9PmLIrIXHt7O3Jzc+UuxkFBQdiyZQtnJUueMYJAIEBSUhLevn3LkKjk5eXh448/JgILLgMUWSwuLiInJ4fY5Hbv3q10ppCpqSn8/f0Z5jOlpaWIjIyESCTC+Pg4w6hEWSVOHrS0tGBvb0+bF9jZ2SkN2NgbqDLCA6ysqwYGBgynxTdv3uDmzZu8XudHH30Ee3v7VQXkWlpaRDaYSkzcu3ePs7pRU1OD+vp6hIeHIyoqSi5B5jIcAlaSJXl5ecR1JBKJkJaWBj8/P6KPiOofuXr1Kn1sfn4eubm5yMzM5Hzv7NclFAoRHR1N/0zNz5IdEaCKy6eWlhbd48aeeffixQuCzLE/5/7+fpw5cwaHDh2SKzdkX6PUdWVvb49PPvkExcXFKC8vJ6p0Dx48oKt07ED5fcxPuBAeHq6UzJmZmWHfvn28+/q4oKhnrrm5Gfn5+XIJelBQEBITE/HixQu5krGKigp4enrydjx9HzLHNf5HFhkZGdDU1CQk6JQJRXt7O3bv3s0I0JVV5oaHh5Gdnc25HlpYWCAjI4M2BZMlc5OTk+jt7SXMbWTR2dlJSCHDw8OJ9U8gEMDT05Mhq25ubuadUHdwcMCRI0fQ0dGB4uLiVbeAULMtY2JiFK7RQqEQcXFxjLV4cHAQdXV1Sl3Sh4aGcOnSJaIaGBYWhpiYGM6/8fDwYHyOra2tEIvFdE+gg4MDPvnkE9y9e5cg5DMzM7h06RLWr1+PLVu2EJU5LrI6OztLm0O1traq7LRKvZ+/RPwsyRw1d4LPYiVL3lS1S1eGf/qnf6IJQXx8PP76r/9a7n3//d//nfMijYiIwPHjx/G///f/xj/90z9hZmYGH3/8MV6+fKlSMKRoICiwslH/nE5yX19fRi8XlUXlKztZXl7G1atXiQ1KR0cHhw8fhq2tLdra2hgNzVKpFPv27cPCwgLevHmD6upquSYC8/PzqKysRGVlJczNzREYGIigoCDExsYyiNjk5CRev36N+vp6YmFKSUnhXNB8fHygo6PDmK9SVVVFZBW5HDEjIyMZtrxsJ8yJiQnMzc0pTDp4eHjA3d0d9fX1KC4u5szWUqTW398fcXFxnGRudnYW9+7dk1tlNTU1xfbt2+Hq6sr5ey5jBFl5jYmJCWJiYhjVtP7+frx8+ZI415X1zBUUFBBkMyoqirfF8caNGxlkbnl5Gf/8z//M62/5Yu/evSpb2bPJwGpm/1VVVak07+jixYtIT09XSfojCwMDA0amd3p6Gr6+vjh27Bjq6urw4MEDIkgWi8UoLS1FVVUVYmNjERISwjAN4XKyNDMzQ35+PuFaCqycW/v27aOvH/a5YWZmBh8fH/j7+zOq7c3Nzaiuruas9rCvEbFYjKWlJXpN09PTg5ubG+M7npubQ2trq8KRI5Q1uLm5udw9g70OBgUFISwsDBcvXmRcG2NjYzhz5gwOHjzI6aLLvm5kq0qamppITEykq3Tsz7unpwdff/01EhISsGHDBmhoaGBubo5Yw/j2Q0mlUkxMTNASVIoAs+dScWFsbAy5ubmwtrbGmjVr6JEc7yNr1NbWVmpwYm5ujpSUFLi4uACA0ue7desWPvvsM6UJJalUumoy9+bNG6WjEiwsLGBlZYXPPvsM169fJ2T9XV1d+Oqrr7Bjxw74+voCkE/mpFIpXr9+jfz8fM5esbVr1yIpKYl+/ZaWlrCwsGBUfevr6+WSOalUSiRf9PT05M5+9fLyYpC5rq4uzM7OqtTy4uzsjA8//BBv375FcXExb0ktsHItxsTE8JYWBwQEoLS0lHHdFBcXw8fHR65R0vj4OM6fP09cGwEBAdi2bZvcdcPT05Px8+LiIjo7Oxl7tra2NlJTU+Hp6Yk7d+4Qe+3Lly/R3t5OVKCNjIwglUoxNDSE5uZmtLS0KI1jZcElfQ8MDHyvBM3PGT8omVteXv5eXGW+/fZbfPjhh/TPVIaTj3RONoBWtiCqgosXL+Lv//7vAaxcyJcuXVLY6K0o2yIQCPB//+//RUVFBR48eIBXr16hrKwMGzdu5P16FGWpfo5ISUlBQ0MDneFdXl7G27dveTmNLS8vIzs7Gy0tLYzj2traOHToEK2ZT0hIQENDA73JLC8v4/Hjx9ixYwc2b96MhIQEtLe3482bN2hoaJDbpDw6Oori4mIUFxdzBv9cLpMBAQFyM2mampoIDAxkWAa/fv0acXFx9DkmzxGTLfO1sLAgFr3BwUGlJIUayOzj44PXr1/j8ePHnMYCtbW1qKurIyqjnZ2d+P3vf8+ZQNHQ0EBkZCRiYmIUrg+jo6PE37MDvcjISFRXVzM2+qKiIvj4+DDkborIXG1tLWETbmdnp9KMP6rH731gZWUFBwcHTqc9YMWR98SJEyoRstVU5mTx4sULzkZ5RVhYWMClS5eQkJCAqKgolSt0bDJHBQECgQD+/v7w9vbG8+fP8eTJEyJBMjs7i4KCAtokxdPTEwKBAGNjY0RloLCwkLP67OLigj179jDOETaZo77vpKQkIlApLCyEi4sLkajhqhjOz88rvAZ0dHRQXV0t9/fACrFUJAtbXl4mZGBubm6wtbXFRx99hAsXLjBI//T0NL777jtkZmYS64S8ypwsqGx9UVERsUZRboUNDQ1IS0sjCB8l/WVDKpVicnKSIG7vk6ClKuWyMDc3Z5C7NWvWwNDQkPMcZp971dXVKCgo4IxLhEIhoqKiEBUVxVgrlfXpUaYa6enpCu8nFosJGSMfMtfb24s7d+4ovI9AIKCJhqGhIQ4fPozS0lIUFxcznnN+fh7Z2dkICQnhlEFSo4Ty8/M5z2mRSITt27cTrsQCgQA+Pj6M3rb6+nokJiZyfi+1tbWEuiY2NlZuxd7FxQWampr0/i6VStHS0qKy/HZqagrDw8Mqr3dDQ0Oora2Fj48Pr5FIGhoaSEhIYPSMj42N4fXr15wSw+npaZw/f56QkHt4eCAtLU3h6zUwMICtrS3j82xubuZMwHp7e8Pe3h63b98mYi+uhHBpaSkqKytVkpcbGBjA09MTnp6eWLNmDf7jP/6D8fu/VIkl8DOtzFFBGh8HL9lNlo8skw/y8vJw9OhRSKVSWFtb4/79+7xngSnCJ598ggcPHgBYMVVRhcz90qCnpwdHR0dGs2tTU5NSMicWi3Ht2jVCUkQROdl+KjMzM6xbt44RPFdVVSEiIgIWFhbQ0NCgM+ULCwuor6/HmzdvFDbgsjOWXDAyMlLaC7Fu3ToGmZuamkJbWxs8PDwwNzdHSN4oR0x2cCAUCmFlZcUwwBkYGOBdcaI0/IGBgXj58iWePHlCBHBSqZSzkZsr0LK3t8f27dt5OYSyq3KGhoYEkREKhUhJSWGYfCwsLODevXuMAIidFaSC0nfv3iE3N5fxOy0tLaSnp/Oa2TM+Po6XL1+qPFhaU1MTdnZ2dK+bvb09nWzq7e3llMPOzs4iOzsbH374IW+zhvepzJWXl3PalMsGPsDKZ2lgYEAYjBQVFaG/vx87d+5USfLFlsCy13lNTU1s3LgR69atw+PHj/Hy5UuCqI2OjuLKlStwdnZGYmIip9MmF5ELDw9HYmIiMViXqzIHrLz37du3MwIrSm65f/9+RqAkj8yxe+xkUV5erlD+BgBPnz7Fvn375P6+q6uLuD6p6p+5uTk++ugjXLx4kfF5LCws4MKFC0hPT2cMrWd/N/LMckQiEbZu3QofHx/cunWL+Pwo5zt2IGlnZwcNDQ1O4vbnMOYZHR3F6OgoQ7Ghq6tLEzzqX0tLS4LMcfVNAStW+Nu3b+ck3Gwib2trCx0dHYYJU21tLTw9PRWaYHHJ0ZRdc1NTU7hy5QpR3XBycmLscaampoz1RkNDA9HR0XBxcUFOTg6xxlRWVqKrq4t4b/39/fjmm284A3tra2vs2bNHblLC19eXQeaoiiy7P1rRgHB5EIlEcHNzY8xhpHrDlGFmZgb19fWoq6tTaswhD5Ssuri4GObm5vD29oaPjw9sbW3lEi0vLy/Y2dkxKoCPHz9GYGAg43Ofn5/HhQsXiPXPwcEBGRkZvPY4T09PgszJ61k0MDDA/v37UVlZiXv37sk1eAFWzlk+MkpbW1t4eHj8/+y9Z3BUWZYtvFKZSmXKe++99wYrgxwSwvvCVBWUHd9mOl7Ei/f+vHjf65jpnu6pmekqoLooAxTegySMsEKAJJD3BnkJ5G1KSvP9UNw7ee656URVd0FpRShAV6nMq8x7z9lr77XXRmBgIFxcXNjX5Va/jY2N9TbDehvxo5I5kUj0g7hIcjN17u7uePLkCaampjA6Oqo128xk3hwcHH6Qfrm7d+9i27ZtmJ+fh42NDW7cuMFaub4uGHkCQBsX/BwRFBRELJBNTU1QKpUaK6AMkeMOxxWLxdi7dy9v9TIlJQWVlZVEVu7OnTvYvn078TgTExPExMQgJiYGo6OjrAxT36ZcdWzatElnlZjpfVEnYc+fP4e/vz+uXr1KyT/VHTG5cHJyIp6HL4jVBZFIhGXLliE2NhaPHz/Go0ePDNKzm5iYID09HfHx8XpnLvU1RvD29kZkZCSR7a2pqUFMTAx8fX2hVCopeYmZmRmUSiXOnz/PK3/VZlGuUqnQ0tKC0tJSKgOpCSKRCAEBAfDw8ICHhwdcXFwMHvAKLKwLBQUFyMvL0/lYRoamDn0rc/fv38edO3eo4ytXroSTkxMh+2Ns+S9dukRtsPX19RgaGsLOnTv1lhFxCYOmod2mpqbIyclBYmIi25PFxYsXL3DkyBGdrykSibB+/XreWYVjY2NUwKteiQ0ODkZERAQhs21ubkZlZSWio6PZY0ZGRhCLxUTlRltlqaenhwpMzc3NERkZScxTa2howKtXrzRm9blk0M3NjaiwWVhY4L333sPJkyeJ9VahUODMmTNYt24dGwzrU5lTh6enJz755BPcvn0bT548IX7Gp3To6OjA73//+x9kUPsPhZmZGbS3txNkzcjISKdrnlQqRVZWFqKiojSueVzCI5fLsXHjRnz++efEmnX9+nV4eXlpnMvFVw3URuaYfnJuoiQxMRFisZi4DjQRLKZP8urVq9T8Nb4+OE1kNz4+HtnZ2VoTVE5OTrC1tSX227q6Oip41zQgXNdaGxgYSMQNLS0tkMvlvOc0PT2N+vp61NbW4sWLFz+o+/bQ0BCKi4tRXFwMCwsLBAcHIzg4GF5eXsTfIBAIsGbNGnz33XfssYmJCZSWlrL9fvPz8/j++++p/d7JyQnvvPOO3qq5wMBAYh7dyMgIBgcHNa43AoEA8fHx8PHxwYULFwyOZY2NjeHr64vAwEAEBARoTHZxrydPT89F7alvC370ypwuq/7FIDQ0lB2w29DQQM3yYiCXy9lGaPXs4mLx9OlTrF+/HjKZDObm5sjPz9c6qNhQ/BQs+X9KCAoKIioDU1NT6Onp4W2QVygUOHfuHBXQaSNywEIgs2zZMsJhtK6uDj09PRqzPNbW1khJSUFycjK6u7tRUVGB2tpavcnN2bNn4e7uDg8PD7i7u8PNzY13YY2NjSUkmo2NjSgpKaECZl9fX8IRkwtu1VjXHB9tEIvFSE5ORkJCAoqLi/HkyRO9BrdbWFhgenoanZ2dcHNz06uyZIgxQlZWFpqamqgA6JNPPuHtoTE1NcX9+/ep14iMjNR4T09PT+P58+coKyszyJgCWEhIGVqh0oTy8nK4u7sTRIEPU1NTFAnRVZlTqVQoKirincuZmppKzVMEFgJJsViMbdu2obi4mCIgL1++xJEjR7B161a9El9cBYWuwN7Ozg47d+5ER0cHbty4oXOoLBeWlpbYuXMnYVmuDm7CRiwWU4STkVuqB8cFBQXw9fUlAnCJREIE3pr6u2ZnZ3kNeTZv3gw3Nzc8e/aM+N3i4mJs2rSJ97m4ZiB8fZcSiQR79+6l1lCVSoWrV69iamoKq1ev1tozpwnGxsZYu3YtW6XTNY/QUCInlUpZ0xdHR0dcvHhRK9HasWMHRCIR+vv7WddWvoHy2qCLyEVHRyMzM1Nn3xV33Z+fn4elpSXWrVvHxjjAwnVy8eJF7Nu3j5cY8pE5TcE685lyg2wfHx9kZWURrwtol5BLJBJs3boVfn5+yM/P11qJ4YLptVJPYmuCQCBAaGgosS7V19cjIyODfT+mpqY0DgjXBU29Ycy9IpPJ0NDQgNraWrS1tellfy+RSODp6anVRVYbGHJWWloKiUSCoKAgBAcHw8/PjyU8XMO1hw8fIi4uDiKRCGfPnqUSojY2NtizZ49BLsqM1Fg9gdzU1KRTEmpnZ4f3338f9+/fJwxs+MDM2A0MDIS3t7de8QFXBaWv2uhtxRsps1RvZL13755GMldWVsZuDK8rWayqqsLatWsxOTkJiUSCK1euaA2gFwP1IF1TYPFzgq2tLRwcHIgsX0NDAxXUMxUWbhXY2NgYe/bs0emOtnLlSpSVlRHBUVFREfbt26f19xgHSw8PD6Snp+Ps2bMas4/qmJ6eZg1EgIUsr5OTE0vwPDw8YGVlhfDwcBQWFhIDqW/evEk8l1Qq5XXEVAeXzL18+ZJwpFoMpFIpMjIyEBgYyI7m0IbBwUE2uycSieDu7g4vLy94eXnB3d2dCjwmJyepIFqbMYKZmRnS09MJ8stkOfkSOYODg9QGY2NjwzonqqOnpwelpaWoqalZ9PDurq4ufP/99wZlRBmsWLECT58+JUgzY97A11/EgEs4jYyMtEr6VCoVCgsLqQoKAGRmZrIZXy4hZQJJgUCAVatWwdnZGefOnSPuJ5lMhuPHjyM9PR0rV67Uer3qkllqgpeXFz744APU1NTg9u3bevVieHl5Yfv27Vrt+PmMU7jnL5VKkZeXR9iOz87O4sqVK3jnnXfYx0ulUqL3lI/MMcE2l/SsWrWK7VVJSEggAtfq6mqkpaVRZH18fJySv2oyphGJRNi+fTuuXbtGDU2/c+cOJicnKbmaTCbTay1RqVQQCoXw9/fnNZzRFxKJhHXqZP61trZm39+SkhKdgXZlZSV27dpFvA/z8/PsnEV1kreYkTb79+9nDU50gRu0Mvd4eHg4mpqaiGpve3s7nj59yht38JmfaLrHHj9+TJlS2djYYNu2bRAKhVpHePBBIBAgJiYGHh4eOHfunF7JQldXV2zbts2gIe1cMjcyMoL+/n52DdQ1IFwbzM3NKdlidXU1pqenUVtby7o46oKJiQmCg4MRFhYGX19fDAwMaCVz6enpGB8fR0NDg0azNWDhPqusrERlZSVEIhH8/f0RHByMFStWEDHHzMwMHj16hNHRUep1zc3NsW/fPq17AB8Yx0/1dpTm5ma9YmqhUKhXexOzN3l6eupF5CYnJ6nrVN977m3FG0nmUlNTYWVlhbGxMXzzzTf4zW9+w3vDfv311+z/N2/evOjXa2pqQlZWFkZGRmBsbIxz584ZZI6gLw4dOsT+PyUl5Qd//jcRQUFBBJlrbGxEZmYm+z0zYJVPP71nzx69nNEkEglWrVrF9isCCwYjbW1tGp0WGYyOjuLp06d4/vy5Xi5qfFAqlaxungl0zM3N4eHhobPqlZeXp3Nx5vanKZVKDA4O6tW3pg1NTU28c3R0QS6X48WLF2xmTSgUws3NjSV3Hh4eVEZRLBbrPN+4uDhUVFQQG/KDBw9435+LFy8SmXiBQIAtW7awUuz5+XnU1NSgrKxMZ6XHxMQE0dHRiI+Px5kzZ6jgmcGLFy9w8uRJ7N6926ABxY6Ojli/fj3xXisUCpw+fRofffSRRskuX7+cpsBGpVLh2rVrvOYrjJSRAV81QR3+/v748MMPcfLkSUpudfv2bfT19WHjxo0aq5SGVubUIRAIEBERgZCQENy8eZPoO+UiISEB2dnZOomIJvMTLoKCgii5b0tLCyoqKthRM9yMOJ/MsqKigppH6eHhQew5SUlJKCkpIRI9jx49onpx+dx8tSUKjYyMkJeXBzMzM6rKUVpaynttz8zM8AZsCoWCtYjXFazywcTEhCJuNjY2Gq/h6elpyubf3d2dvRYYNDY24uXLl4Qsnem3UVdjqFQqjI6OUgRPV1W+s7MT3t7eepEIbfdSTk4OOjo6CPJ/69Yt+Pr6UlURfZ0sW1paqISgWCzGrl27YGpqCqVSSSUvdJE59ccdPHgQ165dowyluJBIJGhvb+etcmuCs7MzbGxsiCRHXV0dXFxcMDg4SK1d3AHhuhAUFETsHQx50gVjY2MEBQUhLCwM/v7+xNqu65qvr6/HwYMHkZOTg97eXtTX16OhoUHrvD+5XM7eU3wtJ3xVMMYzwBDyrA4umevs7NTqis1gcHCQt++ai9nZWRQVFbHzWWNiYrQaCnKrcmKxWGti8+eAN5LMicVi/MM//AP+z//5P6ivr8fvfvc7/PM//zPxmJKSEvz5z38GsECMuAMRgYULgmHzKSkphC6YQWdnJzIyMjAwMAChUIgTJ07wZu+14fHjx/Dy8tJ4salUKvyv//W/WHlSVFTUz9r8RB3BwcFENm5oaAiDg4Owt7eHUqnExYsXqcBHJBLhnXfegZeXl96vk5iYiCdPnhCL761bt/Dhhx/yunJ1dHTgyZMnaGxs/FHksZOTkzr7TaOiovSSqEgkElhbWxNBSH9//6LJHDNbSNN8JEPBDAft7OzEgwcPePtR3N3dtS7uwEIgv27dOhw5coT9TBQKBa9bG7dqk5aWBnd3dwwPD7OGJrrIuZOTExISEhAREcEGT7rOsa2tDadPn2alXvoiMjISPT09BDkZHR3F+fPnicqPOvTtl1Mqlbh8+TJv4LJhwwZq5iU3UJyfn6d6WW1tbfHBBx/w9tHV1dVhcHAQu3bt4g0uFluZYyCXy/H48WOdpjRhYWF6Vac1mZ/wYe3atWhrayPOubCwEL6+vrCysqLIHPcae/XqFeUeKpFIsGXLFuJczczMEBsbS1wPz549Q3JyMvH+ccmcn5+fXvfRmjVrYGZmhoKCAuJnfCYP09PTLJmbn59HW1sb6uvr0dTUtCi3ya1bt8LV1VUrcePD3bt3qcpMdnY2HB0d8fDhQ+JcHj58iC1btmh9PoFAwA66V6/uX7lyhapccs+jv78fmzZt0tmnr43MSaVSbNy4keiLksvluHDhAg4ePEhcD/qQuaGhIZw9e5barzZv3swS25GREWrt1ZfMAQvXmy7DHuC/k6VXr16Fp6cna/qhTQbOuFqq94vW1dVhzZo1eg0I58P8/Dw6OzvR2tqqczyDOpge6PDwcAQEBGhUW/A5QKujt7cXz58/R1xcHJtMyMjIwKtXr1hip97vzoU+ck8mHnqd5C2f42dLS4tWUx6FQoHz589TCens7GzWOIx7/pOTk7h69SpKSkqwZs0ahISE8K4BXAWUl5eXznXtbccbSeYA4J//+Z9x6tQpNDU14Te/+Q1aWlqwa9cuSKVS3LlzB//f//f/QS6XQyqVUval+mJoaAgZGRlsX82vfvUrBAcHU+RBHTY2NlSvVUFBAX77299i7dq1yMzMRGhoKKytrTE7O4uqqip2aDiw0Mtz5MiRRQ3cfRvh6uoKc3NzIjhqbGyEra0tLl26RMhQgP9euAzVTxsbGyM1NZUI/Pv6+lBXV4ewsDAACwt/dXU1njx5orH6wsDe3h6JiYkoKCggFqyUlBTY2tqiu7sbXV1dGBgYWDQZ1OWIqQ5nZ2eKzBlqvQwsZOEvXLigt/EHsBD8BgQEoKOjQy8JDt8G1dbWhkuXLrEOkA4ODryLt4uLCxISErRWZLjw9PSEg4MDjh8/rjMQEQqFCA0NRUJCAu9gbO45JSUlobKykgjam5ubcfbsWb3dxBhkZWWhr6+P6PNraWnB3bt3qZEUgH5OlgqFAhcuXKAMDAQCATZv3sy7WfMFivPz81TgyvTRPXz4kJgFCCxIfQ8fPoxt27ZRPVzcKs/8/Dzbl6cLLS0tKCgo0JrZZnDx4kV88sknOgNuPpmlJkilUqxfvx7ff/89e4yRW+7Zs4fKZKtfF/Pz8zh79iwV/GzYsIGXiK9YsYIIiORyOZ4+fcpeCwqFgnBFBGCQWVdSUhLMzMxw4cIFrUHj8PAwBgYG0NDQgObmZr37piwtLalgVyqVap2XpQmDg4MoKysjjoWHh7O90omJiUTyqaamBmlpaQZXKgYHB3VWnYCFdoAvv/wSu3bt0tpzxk3oMCMGmHWF6YdWlz739fXh3r17BFnRReZkMhm+//57iuympqYSvgZc6Zqpqale89ampqaQn59PrSO6wCRGOzo6UFhYCBcXF5bY2dvbU+traGgoQeaGh4fx9OlTyvSMb0A4sLC39Pf3o7W1Fe3t7ejs7NRbOs/IhMPCwhAYGKiXoR73+g4KCmIT0gxu376NkJAQ4n12cHCAg4MDkpOTMTY2xlbiOjo6DI4Xtm/frvfsRk1gevTUpZtNTU1aydy9e/coIpqQkMC2RS1btgx37tyhYjhgYc09c+YMS2658dxSvxyNN5bMWVhY4Nq1a8jNzUVzczMOHz6Mw4cPE4+xtLTE8ePHdRoFaEJ1dTURtP7Lv/wL/uVf/kXr77z77ruEvJPB7OwsLl26hEuXLmn8XU9PT5w4cYK3ivhzhUAgQFBQEFHiZ9zbuLNqRCIRdu/evWjtdHR0NB49ekQEb4WFhXB1dUV5eTmePXumM9McEBCApKQk+Pr6QiAQoK2tjTAUGBsbQ2pqKmuyMTc3h97eXnR1dbEET99s9u3bt5GRkaFXkOvk5EScx2JMUPr7+3H69GmdBgZcjIyMICYmBmvXroVMJkNnZydevHiBjo4O9PX16b05VVRUsIGUWCyGq6sr3N3d2S+mIrFmzRrU1dXpXdHp7u4mrOX5YGVlhbi4OMTGxmqVBXHJnKOjI/bt24dvv/2WCKQaGxtx/vx5bN26Ve+MolAoxPbt23Ho0CFCenj//n24ublRTfzcyhyXzMnlcl73VyMjI2zbtk2jaZS+ZA5YuH9Xr17N9tGpvwfqfXQrVqxgAze+93dyclIriRoZGcGNGzd4HS2BheoWtwo2OjqKgoICbNy4UePzKpVK6nrXNVMwMDAQUVFRRKWztbUVz58/p94j9XO6ceMGlSSKj4/X+DlYWVkhIiKCeJ2nT59ixYoVMDExQU9PDxW8Gzp0Pjw8HKampjh16pTG/jFd94467OzsEBISgpCQELi4uGB0dBSfffYZ+3NmSLo+phXquHnzJrGOiEQipKens98nJSXh0aNHLNFUqVQoLi7WyxWWgUqlQn5+PkFsjYyM8Omnn6KpqQm3bt0izmFwcBBHjhzBli1bqHuTAV9FZ35+nrjH0tPT0draShCAhw8fsu64gHYyx/SUc5MSoaGhSE5OJo4Z2i+nUqlQXV2NgoKC15r5x4DPpj84OBhubm4QCARwdXVlW2wYcKvH3AHhIyMjLHlrb29f1Hlu3LgRwcHBBhmHADSZs7a2RmJiIlFtnZmZwe3bt7F+/Xre57CyskJSUhKSkpIwPT2NxsZGNDQ0oLW1VS8imp+fj4GBAcTExLzWeK7AwECCzDF9hHyJl87OTspEy97enmiRsbGxwZYtW7B8+XLcvn2bMmoCFvrVv/nmG/j7+yMjIwNOTk4YHx+n1BI/93454A0mc8BClvH58+f4r//6L5w5cwYtLS2Ym5uDh4cHcnNz8Y//+I8GSe1+LLz//vtwcnJCSUkJqqqq8PLlSwwNDUEkEsHe3h6xsbFYv3493nnnHYMXi58DuGSuu7sb3d3dxGOEQiF27dqls8dNHSqVCgqFAnNzc5ibm8P8/DyCg4NRXFzMPmZiYoIINvggFosRExODhIQEKtDz8vIiAkyuTEksFsPb25vNLDEzrZiBttrkPKWlpWhpacHGjRt1XudcExSmIqhvBbiqqgpXrlyhqgYCgQBJSUnUcGB1MP1Y77//PiQSCTv0E1hIcnR2drLZ2d7eXr2kI3Nzc0TfHbCwOTDEjmvfrg3aXs/Pzw8JCQkICAjQi3RxH6NUKuHq6oo9e/bg2LFjRNBVV1cHoVCITZs26U3oLCwssH37dnzzzTdE4HjhwgV8+OGHBOHRJrOcn5/HqVOnqA1UKBRi586dGk0yAH4yp8soIiAgAB9++CFOnTpF9NGpVCrcunULfX192LBhA8RiMcRiMTXLbmpqipfMzc/Ps1bemvpLY2NjkZ6eDolEgm+//Za4BysqKliXOD6MjY1R14c+IxYYuaW6bLuwsJCt8jNgAsu6ujqqsuTo6IisrCytr7Ny5UqCzMlkMpSXl2PFihVUldnJyclg8wNgoTr07rvv6jXigQ8uLi4ICQlBcHAw1etlY2MDT09Poke2qqrKIDLX1tZGmT1wKzNSqRTx8fGElK6iogIpKSl6vycNDQ1UpZOZSWpvbw9nZ2ecPXuWIAuzs7P4/vvvkZaWhtWrV1PrLR+Zk8vlxD1mbGyMLVu24Msvv2SvRZVKhQsXLuCTTz6hxl0A5D1aVFREKSmcnZ15B0ZzyZy2xMXY2BiuXbtmkEoDWAi8JRIJWlpatFZxNdn0BwUFaVVeJCYmorW1lZVyGuo8zAeJRLKo2IzbM2dpaQlfX1+EhoYS8vNnz54hNjZW55w0U1NTdkTS3NwcWlpa8ODBA63J2dHRURQVFeHu3bsICQlBfHw8vLy8DFZ/cfcEmUyGrq4uqio2OzuLCxcuEPuTkZERtmzZwnu9u7i4YO/evWhra2P3Ai4Y+W5kZCR1TUokktfu/38b8EaTOWAhi/ub3/wGv/nNbwz+XW9vb61VgdTU1B+kH8rLywuffvopPv3009d+rp8jfHx8IBQKtWahfH190dvbi46ODpaYMfIsbf++zudra2uLxMREREdHa5RccBe6kZERjI+Pa5wXJBAIYGdnBzs7O/j4+KC6ulrrhjcyMoKvv/4aiYmJSE9P11il45K5mZkZjI+P67SqVygUuHHjBu/maWZmxs5cVCdzYrEYSUlJhIFCV1cXYQTBwMTEBAEBAexGMTc3h//3//6f1nPShJGREYyMjPDKNgyBRCJhDU10VWG44CNzwIKBxTvvvIPjx48Tn2d1dTWEQiE2bNig9+bq5eWFzMxMorFcJpPh9OnTOHjwIIyNjVnzBnUwn/Xs7CxOnjxJSVWMjY31SogIhUIIBALi3tHH9c/Ozo6dR8ftB62trcXg4CB27twJGxsbmJubE+fPrbKqVCo0NjaisLBQY7Dm5uaG3NxcwgRh06ZN+Pzzz4nzvXLlCtzd3Xmz1twMsImJiV6yM4lEgvXr1+PEiRPssbm5OaqPTyaTYXR0FJcvXyaOGxsbY9u2bTqdTx0cHBAcHEwkjEpKSpCYmEiROUPnocrlcnR0dKCxsdEge3WBQMD2QQUHB+ucbRgREUGQucbGRshkMr2CZ6VSSRksmJmZEZUZBsuXL8fTp0/ZfUShUKCkpEQnYQYWkgaFhYXEMQsLC6Ky5evryyYsuLO97ty5g/7+fmzcuJHYKzRV5rhwcXFBamoqIVdmqtF5eXkayVx1dTWRnAQWCMHOnTs19tWpg68yp1KpUF5ejps3by7K7XNqagr79u1jR0c1NDTo7K9Ut+nXBT7vA20QCARwd3enxtSo4/Lly3B1ddW4b2sCtzLH/H52djYlSb5+/ToOHjyod2JPLBbDy8uLMrTRBKVSidraWtTW1sLe3h5xcXGIjo7Wm6RaWlpSs2+bmpqoGKegoIBak1NTU3UalDD3T11dHW7fvs2rAOKqsYClfjkGbzyZW8LbD5FIpFNO0NzcbHCGcLHw8/NDUlIS/P39dQbgjo6OlMSro6NDq9Yc+O9qlr79J0+fPkVzc7PGKp2VlRVMTEwI2VV/f79WMjcxMYEzZ87wbnJubm7YsWMHLC0tKTmFk5MTVq9ejZqaGmJBvnnzJoKCgrQGw2KxGH5+flTFaO3atWxF9ofItPKB6bcLDw83eHwAA01kDljYdHbv3o0TJ04QVaSKigrWRVBfQrds2TL09PQQPSoDAwO4evUqNm3aBJlMRgVa1tbWrLSRW9kWi8V6u78KBAKIxWLiWtI3qDMxMcH27dvx4MEDaij5wMAAjhw5gm3btsHMzIz4nNVlpYODgygoKOCV5QALwWpGRgaio6Op99Pa2ho5OTmE3H16ehpXrlzBrl27qMfrM5ZAEwICAhAdHa21x2p6epqSnwIL/bC65jgxWLVqFUHmJicn8ejRIyrDrQ+Zm56eRnNzM5qamliliyGwt7fH/v37DaoAhoWFoaCggCBZdXV1iI2N1fm7FRUVFHFKS0vjTa5ZWFggKiqKUDuUl5dj9erVOl35Hj58SFW6s7KyKEJkY2ODAwcO4PLly1T/WH19PZuwYJJEfCZImtb8lStXoqmpibh3y8vLERgYyEvment7qSSBkZERduzYwUuwVSoV5T7LJXPDw8O4fPkyrxEOAGqwN7Dw+aq/Fy9fvkR7ezt8fX1Zwq9UKtHR0cGafhjqfGoo7O3t4ePjAz8/P3h5eUGhUOD3v/+9xuTuzMwMzp8/j/379+tNHFQqFUXmmPvC0tISycnJxExOdTMUfcAMfl/Mfjg4OIjCwkLcvn0b4eHhiI+Ph6urq861LSAggCJz6smQ+vp6ar3z9PTU29BPIBAgLCwMwcHBePbsGe7du6fTzXixe/XbhiU6u4QlGACxWIycnBwEBAToFdQZGRlRATK3IsKH2tpag8kpU6UrKCigAgKBQGDQ8PDOzk4cPnyYl8jFxcXhvffeY7OM3D4fR0dHGBsbU66vMzMzxPgHPiiVSuo1t2/fjqSkJGzduhX/+I//iF/96lfYuXMnVq5cCS8vrx9kMQ8MDERWVtZrETlAO5kDFqrMO3fupPoMnj17hvz8fL0rxQKBABs2bKAC/qqqKt6h5gKBAMbGxvj2228pIieRSLB//36DmuQ1zZrT99yTk5Oxe/duKuiemZnBsWPHqIHGk5OTmJ2dxc2bN/H555/zEjmBQIDExET8/d//PWJiYjTen1FRUZSssqmpidf9Ut+xBJqQnZ2tldi8evWK+jzCw8MN6vN2c3Ojeka4RFksFvPO21SpVBgcHERxcTGOHj2K3/3ud7h48SLq6uoWVXUZHBzEiRMnDBrcLpVKKQmXPtV1xs5cHY6OjlT1Xx3cGYdzc3M6zZJGRkao6pa3tzclmWUgFouxdetWYqA1g1evXuHIkSPs2i4UCqk1QxOZMzIywubNm6n16fLly9T9Pjc3h5MnT1LS45ycHI2S/OnpaaqvlCFzzOiLzz//nJfImZubY8eOHdQaYmZmhk2bNlH3DVeWb2RkBB8fH+Tm5uIXv/gFPvjgA6xcudLg+00TzMzMEBERgY0bN+Kf/umf8Ld/+7fIzc1FUFAQJBIJmpqaiLXX2NiY6nPs6OigxnVow+zsLPVZqlf2li9fTv19t2/fxvT0tM7nVqlUuHTpktZqYmBgIA4ePIjo6GiNzslyuRwVFRX48ssvceTIETx79kzrfc+VPw8NDbEJr4mJCco5WiwWY/PmzQZVzhgSLBaL9eqF47ol/1yxVJlbwhsBrsb8r4W5uTkcOnQI2dnZiI2N1YvQeXl5ETIlTVlNBtPT08jPz9f6GBMTE6SkpKCoqIjasJ88eYLm5mZs2rSJCOCcnZ2J1+ZmtIGFhfTp06e4ceMGRUSEQiHy8vKoQJP7PIx+3d/fn/rcnj9/zg6Y5QPfoF5ugGBubs5mdIGFQOPly5fo6upCT08PXrx4odfAaHUwQ9yNjIzg4uICDw8PeHp6wsPDw6Cmce71wNeP5+/vjx07duDUqVPEz0tLSw1y8ROLxdixYweOHDlCvGcFBQVYvnw58VgjIyN89913FPE2NTXFvn37KKKvC7pmzemDwMBAdh6deq8OH6F98uQJnj17pjFj7+XlhZycHL16JwQCAfLy8tDV1UVkfQsKCuDt7U30xBkyloAPfHJLbbCxsTGoQstg5cqVlF23Onx9fdlrixkFwlzz3L/xddHf348vv/wSiYmJWLNmjV4GTZGRkUR1kbmHtSkHiouLqax9dna21sDR1tYWYWFhhCP1kydPsHz5co3nWVhYSChDBAIBcnJytH5GAoEAK1euZPvo1EnS7OwsTpw4gTVr1mDVqlUQiUTE/atttqitrS2ys7Nx9epV9tjU1BRl/MO3V8bHxyM+Pl7jc3P75YRCIaytrfHy5UtcunRJI0GPjo5GVlYWlEolzp07R72mSCRCUlISMXKjubmZHTHEhUAgWJRNvzpEIhG8vb3h6+sLX19fODo6av28uCZQ/v7+2LBhA7744gtiL7l37x58fHz0SnzxjSVQT+wIhULk5uYaZIbC4O7du1pd1YEFCTfTQ56VlYXKykqUlZVpdPrt6+vDlStXcOPGDURGRiI+Pp6YxQgsqFe47uJNTU1YtmwZLl26REllc3Nzdcqsmf2bGU/U2dlpUGV2//79ej/2bcYSmVvCG4G8vDzeDcrBwQHGxsYQi8XEv8z/uce5/87Pz+Pq1as6Rw2og/md5uZmrF+/XufQU66mfGhoCJOTkxpJws2bN6nsXFZWFtEbMjs7i6CgIAQGBvJm6IaHh/HVV19h+fLlSEtLg7GxMRXocitz8/PzuHLlCm9W3MrKCjt37qR07wqFggoC1F8nOzubkmtdu3YNH330EW/QxR0Wbmtrq5NMGRkZwdnZGc7OznBwcKAqHYZAqVSip6cHPT09bPaYMWlgCB6fZbb6uXCfjw+BgYHYtm0bzpw5Q5AXbUYyfLC3t8emTZtw+vRp4jW5lQSFQkFd4+bm5ti/f7/ecj51vE5lTh12dnb44IMPcPHiRY1OlMBCYMI398/CwgKZmZkIDw83iACZmZlhw4YNxAiB+fl5XLx4Ee+99x77ORoylkATAgICEBMTo3PuHeMiqo/lORe+vr5UP4s63NzcUF1dzcondc1Q5P5uYGAggoKCcOPGDcIEJDw8HBKJhDJvUalUePLkCRoaGpCbm6vRzZFBQEAAJUevrq7m7X0DFsw3uHPBAgIC9DLAWrVqFREIz8zMoLy8nEqAAAukgxvoJyYmUkGuJvj5+eGjjz7CyZMnqfuvqKgI/f39VPJCV2IkNjaWJeL6wtvbG2vXrtX6GO46bm1tjfv37+PBgwe865iVlRXWr1/POqTev3+fIL1CoZAlj1FRUSgqKiI+3ydPnmDdunU6z51r03/16lWtI2SWL1+ONWvW6D3Hc25ujqr0MxW7rVu34ujRo+xnpFKpcO7cOXzyySc6pblcMmdmZkad02LMUCorK6nB4GKxGImJiUTLgzqxkkqlWLZsGZKSkvDixQuUlZWhoaGB93OdnZ1l+xM9PT1ZR12RSASBQICAgABiLWtqaoJQKKTew9DQUNa1Wx1yuZz1N+js7ERXVxclMzcEhsxrfZux9C4s4Y2ARCJBQEAAIT00NTXFJ598sujm166uLpw9e1bnYE9NaGxsRHd3NzZu3KjV/c/Z2ZlyHOvo6OCV6bS1tVGa86CgICxbtozKRPf09CAiIgLvvfceHj9+jKKiIqq3sKSkBE1NTdi4cSNVfRkZGcHs7CxMTEwwPDyM06dP81brfH19sXXrVt5et8HBQWpDUA90LC0tkZqaShDRgYEBNhvOBZeUaqrgcTEzM4ObN2/qDJgXA8ZYhXENlEql8PDwYMmdq6sru6HoS+YAICQkBFu3bsW5c+dey4gnJCQEK1eupAicNlhaWmL//v2LljH9UGQOWKgy79ixA/fv39fbvMDIyAjLly9HcnKyXpUfPgQGBiI2Npbooerq6kJxcTFWr14NpVJJydcW+35lZWWhtbVV61oTHh4OoVCIV69eQSAQwMjIiPiX75j6v6tWrcKZM2d4n1u9N0cXRCIR/Pz8WNdZJpkil8upZEtISAgbtF25coXquRobG8P333+P0NBQrF27VqPkVCQSITQ0lPgsqqqqKFmk+t+jXsESCASE7bk2ODk5UTbrJSUlSEhIIAJDuVxO2d6bmZkhNTVVr9dhYGNjg4MHD/L20fElKHWROYFAgPXr1+Pzzz/XS5JnbW2t10xLLpkbGhoiZvOpg2u4pVAoKHOS8PBw9toRi8WIi4sj1qjKykqsWbNGJylSh6mpKXWeXDx+/BjOzs68RIIPra2t1LXEJB88PDyQlpZGyHnHx8dx5coVbN++XWsCSVO/HBdZWVm8ZigffPAB9fwdHR1UH6RAIMD27dupPYTPUEYgEMDHxwc+Pj6YnJzEs2fP8OzZM41KFqZSZmpqypqCBQYGEvss11Wa+VvXrVsHgUDAul4yz9XT06P3bD9dSEtL0+kA+nPBEplbwhsBgUCA3Nxc/Pu//zt7bHp6Gl1dXQaPn9AmJWSCgrq6OqLCk5WVheHhYSoDPTU1xc4GzMzM5O23Yvrm1LOJfGSOqfipw8TEBLm5uaz0RD0AYcickZERVqxYwVbpuJWpoaEhHD16lHd+4cDAAGZnZ3H+/HnebP2qVauQlpamkTBzyZ+VlRXljsUMzlZ/7N27dxEWFkb0EKhUKipY1CVnUalUqKmpQWFhoc5GaU1wdHSEUCjkzZLzYWZmhsiMC4VCuLi4wNPTk+pz1DVmISwsjB3c/TpYs2YNent7tUrtGNjY2GD//v065S/a8EOSOaZvy5CkjEAgwMzMDGpra+Hu7q61WqoN2dnZaG9vJ4x67t69C39/f5iYmCxqLIGm8w0KCtLqxldVVcXr1vaXgIWFBUvefHx8eNexzs5OKuhlelo8PDzw8ccfo7i4mKrQAAukpbW1FRkZGYiLi+P9rCIjIwky9+rVKwwMDFBJqO7ubko9EB8fb1CFedWqVcRaOjExgaqqKsJ0paSkhJKgZmRkLMqinumjc3Z21kms9ZEsm5ubIy8vj6jI84FxqNXHgVWT/E4ddnZ22LBhA7Uu19bWUo6zSUlJxPeJiYkoKSlh76n5+XmUl5drrL7y4d69ezoNP5ixDTMzM9Q58IFbefX29iYI5sqVK9HW1kYQlvr6epSXl2uVrWpysuTCysqK1wzl2bNnhBnK0NAQJc0HFvog/f39qX1fV/Xd3NwcycnJWLVqFVpaWlBWVqaxT396ehqPHj3Co0eP9JKY+vv74+7du+js7ORNEOsDU1NTeHp6wtPTE15eXigrKyNIpJ2dHVavXr2o534bsUTmlvDGwNraGk5OTsTi0NjYaBCZm52dxZUrV6gMKbAQ0Gzbtg2enp6UhMXIyAjr1q1DQEAALl26RGVES0tL0d7eji1btvBa8Hp5eVFkjou7d+9Sdrzp6ensJuDq6kqcF7eHwd7eHu+//z5KSkpw584dIqBiCCwXp06d4s3umpiYYNOmTRrnbzHQ1C+nDua9++qrr9hjc3NzKCgowI4dO9hjY2NjlFZe28YxMjKCa9euaXQ1dHV1xcTEhE79/djYGN577z3Y2tqiu7ublX50d3frRVIUCgXv7EMAePDggcbz0xcXL17UadIAQC8ya2dnh/379xtssc3F65I5pVKJzs5ONDY2orGx0eBB9AqFgs0qAwvXK9Nnw/SJ6BPAMg366lIqpVKJCxcuIC0tjXisRCLR6zmBhfttYGAALS0taG1tRWdnp17zE/+ScHFxYQmci4uLTjLMvY5dXV2JoFcoFCI5ORlhYWG4evUqla2fnZ3FtWvXUFVVhby8PEqq6OnpSQ2ErqysJMicSqWiRhGYmJgYXC3z8PCAl5cXsQ4XFxcjOjoaRkZGGBsbo6Rs7u7uiIqKMuh11CEQCLBq1Sq2j06TtOzcuXOUhHSxmJ+fpyo5mqDNtIbpAUxJSaFkbYykVh1eXl7UPmhpaYnQ0FBC4lpaWorly5fr1Ss8MDBAvS9eXl7Yt28frly5QsxbBBZ6YKenp5Gamqrx2lYqldRezzX5YGakff7550S1q7CwEJ6enholt/qSOWBBGlpRUUEQ6tu3byMkJASmpqaYmZnBiRMnqGpbUlISm6TlVjjlcjnkcrlOGaKRkRG7DoyOjqK8vBzPnz/XuJ9wE658WIxChmlnYL7s7OzYz00ul1PjbCIjIxeVwHtbsUTmlvBGISgoiCJzmZmZet3UL1++xJkzZ3hlGt7e3ti6dSsrC9EklwsMDMSnn36Ky5cvU1mswcFBfPnll0hLS8OKFSuI5+ASzpcvX2J6epoNDvv6+qiNysPDg8j8ceUEfX19UCqVxOsYGRlh5cqVbJWO6wrIBR+Rc3BwIOyztUEfMsf8Ldy+ofr6ejQ3N7MSVe4mIZVKec9BoVDg8ePHuHv3Lq9ZgFgsxpo1a5CQkEBUcgFgy5Yt6OzsJCqss7OzOH78OA4cOMA2zAMLn/nAwAA7wL2zs3NRklxDnP1+zOcAFrK7V69ehZubG1xdXeHm5qY3QVEHl8zpU02YnZ1Fa2srGhsb0dzcrHWulKGYnZ1lhwQzUB8i7+7uDicnJ96g0cPDAytXriT6TV69eoWzZ88Sj9N1P0xNTaGtrQ2tra1obW2lKhU/BTCz0QIDAw0m9NyB2Zr605iEQWVlJW7cuEF9zl1dXTh06BBWrlyJ5ORkNtgUCASIiIggPoeamhpkZmaya1xdXR0lxU5OTl7UNbx69WqCzA0PD6Ourg7h4eG4ceMGtbYwCglDMTs7i5cvX2JgYID90tUj9EPd7z/Eczk7O2PDhg0a54R1d3dTr6GpIrZs2TKCzI2Pj6O+vh7h4eFaz0GlUuHq1atEQoRJEgqFQmzcuBFSqZTqOb5//z6mp6eRk5OjsUebe33yJTAtLCywadMmosdWLpfj7Nmz+PDDD3kr2XwDwzVBKBQiJycHx44dY4/NzMygqKgIOTk5OHXqFFUlZhyYGfBVjGdmZgwaE2JtbY309HSkpqaioaEBZWVlerlvLwZOTk4EedP2/jQ3N1OVRn1ltD8XLJG5JbxRCAoKIjKmw8PDGBwc1Cmxqa6uxpUrV3iDTj4pITfoU69ymZubY/fu3SgvL0dhYSGx6SuVSty+fRstLS3YvHkz68bm6urKGq4w6OjoQEhICJRKJS5fvkxI/IRCIdavX08ED+rDj4GFzeTly5e8ToQODg44cOAAHj16hLt37+qtUQ8NDcXGjRv17kPSl8wBCxKlxsZGgkDm5+fD29sbxsbGvBJLbvDU09ODK1euaJRuBAUFIScnB1ZWVuxgdO75hYWFYWpqisj0TU5O4tixYzhw4ABraMM4W7q4uCAxMRHAQhWP0f53dXUtWkLy1wR3JqONjQ1L7Nzc3NgeT23gBi+aKnPj4+NoampCY2Mj2tvbf7BeCX3AHSIvFArZv5MheJaWlhAIBEhNTUVLSwthCqRLYqlUKtHd3c1W3143aDYyMvrRq3eTk5MYGBhAaGioQb83NTVFGSYxxhd8EAgEiI6ORkBAAG7cuEHJR5VKJR48eIDa2lqsX7+eNYmKjIwkyNzk5CTa29vh5+cHuVxOjTaxsbFh701DwWca8/DhQ5iamlK9bHFxcTqHHqtUKoyMjBCkbWBgwOCq808Ja9aswYoVK7RWzrhVOWtra6q6xcDNzQ0eHh4EIX/8+DHCwsK0EuXy8nJK+bBq1Sp23xcIBMjKyoKpqSk1rqKsrAwzMzPYvHkz9XdwTZdcXFw0OqgGBgYiMTGRUEm8evUKhYWFyMvLox6vb88cAz8/P8oMpby8HJ2dnVQvqrOzM7Zu3UrELD8EmWMgFAoRFhaGsLAwDA4OoqysDJWVlQYZJ3Gfz83NjSVuHh4eBsmVueuHl5fXa7UJvI1YInNLeKPg4uICCwsLIuvV0NCgkczJ5XIUFhZSvW7AwuK3efNmXqc1bWQOWNg84uPj4e3tjfPnz1Much0dHfj888+xbt06REREQCgUwsPDg8huM2Tu8ePHVKC0evVq6m8yNTWFjY0NERz09PRotJVnTBGYKp0uGU1GRgaWL1+ud/Z5amqKqj5oI3PMMGd12c/IyAgePHiANWvWaDU/YWZKaZIbmpubIzc3F8HBwez5c4mWUCiEnZ0dK5s5duwYlZk/ceIE3n33XY1kxsrKChEREezQd5lMhu7ubnR1dVGyrDcFDOlhpMcCgQCOjo4EwXN0dCQCB00yS5VKhZcvX6KhoQFNTU0GERxLS0sEBQVp7bPYvn07LCwsWFlrd3e33tVShULBVlkZmJubs8QuNjaWsE/nwtbWFqOjo2zlra2t7bVc2LjYtGkTIiIioFKpoFKpoFQqDfr33LlzWmdHAgufT1lZGWpra7FmzRrExsbq1avIrcoZGxvD3d1d5++ZmZlh8+bNiIqKwtWrVyliMzw8jG+++QbR0dHIzMyEg4MDRbCqq6vh5+eHJ0+eUP1SGRkZi3azY2SP6qYxAwMDhFU8sKAQWLNmDXGMqbb19/ezpO3ly5ev1Tv6U0RkZKRWIjc2NkYR34SEBK3X1LJly4h7sKenB93d3RrNriYnJykSb2trS/VLCQQCrF69GqamplTveW1tLWQyGXbs2MGuXSqViiJzmkgog8zMTHR2dhL3WXl5Ofz8/BASEkI81hCZJQM+MxQukbOwsMDu3bupNVgoFFJGa4slX+qwt7fH2rVrkZycjC+++EKvsQEmJiYsafPy8iJMwgzF9PQ0JYVdqsrRWCJzS3ijwBgJqJOzxsZG3kbY0dFRnD17lldq6OLigu3bt8PGxob3dfR1JbS3t8fBgwdx9+5dIqMMgDUWaW5uRm5uLry8vCgyNzIyQg34dXBw0NgU7urqSgREvb29RJM0HxwdHXHw4EEUFxdTWUsGbm5uBhE5gB4WLhKJdBpEREdHo6KigqjCFRcXIzAwkHo+pl+uoaEB+fn5GoP2+Ph4pKenU5k+LiFwcHBgAxORSIRdu3bh66+/Jh7X29uL06dPY/fu3Xr1cUgkEvj7+0MikfCSuZCQEJ227FxcuXKFuN7Cw8O1VkG4kMvlePbsmd4zmbhg+r0GBgZYWaxIJIKLiwsrz+SS+MbGRuTn56OpqUmnQYE6nJ2dERQUhKCgIDYp8cc//lHj42tra7F9+3Yi8JuYmGCJXU9PD3p7e/Weezc5OYmGhgatYxEY3Lt3T6O7nybY2NjAz8+PN5nERX5+Pnx9fWFmZsY6VOqLjo4OnUROHTMzM7h27RrKy8uRk5Oj09SAS+a8vb0Nmono6+uLTz/9FPfu3SNMMBhUVFSgqakJ2dnZiIiIIK7duro6pKamUgObPT09qQDaUISEhMDe3l6rQ2JMTAw6Ojr+YtW2pKQkg+Y+qlQqqi9uxYoVBhnCyOVyPH78mDJBuXXrFrZu3arx90pLS6lh2+omMnwIDg6meiMfP36skcwVFhZSSZN169ZpJAdxcXGQSqU4d+4ccZ21trbiu+++wzvvvAOpVIqBgQHKxVFXj7hIJMLWrVtx+PBhYo25fPkyXF1d2are3NwcRaT0IXN8ZijqMDY2xu7duzU+l1QqJcjcDyVlb2pqQn5+vl5E7v3334e7u/uiXca5qK2tJT5Hxvl2CSSWyNwS3jhwyVxPTw8mJiYIOUFLSwvOnz/Pu5jFxsYiJydHa6ZIV2WO+9j09HT4+/vjwoUL1AZRXV2Nzs5OinT19/fj7NmzVG/G+vXrNQZKbm5uhHmLrp44BswsNk3o7u7GyZMnsWXLFr3nXPGRJV0LuEAgwLp163Do0CF2gVYqlfjzn/9MPE4kEsHc3BynTp3SGGg7OjoiLy9PYxDADW65f79EIsGePXvw5z//mfjMWltbcfnyZWzatEkvcqtSqSgLcxMTE/z93/+9zhmEfGCGsstkskU55wELBPfmzZt49OgRcTw4OBjW1tbo6elBX1+f1gHF6pDL5VRVSx1zc3N6mbQYGRnB29ubJXBcSVNXV5fWSltjYyNmZmaIZn8LCwuEhISwgT0zhFa9eqePU98PAWNjY/j4+MDPzw/+/v6wtbVFTU0NReaio6MRGBhIuBHOzMwgPz8f27ZtM+g1FQqF1ooiA5FIRH3e/f39OHr0KCIjI5GRkcEryVKpVHr3y2mDsbExMjIyEBERgStXrlBr1/T0NC5cuEBV9+fn5/HFF19QAX1WVtZrGyAwxh6XLl3S+BjuPbTY17G3t4eTkxOcnJxgZ2eHs2fPEkGqVCrFL37xC97+K12IiYnB/Pw8lErlouYUAgtrxqVLl4jRODU1NUhISOAl+3NzcygvLyeORUdH61yzjIyMkJiYiJs3b7LH6uvrMTo6SknnWlpaqOHYkZGROq+/0NBQmJiY4NSpUwTp6u7uxtGjR7F3715qX7GxsdFrfqC9vT1ycnIIAi2TyXD+/Hm8++67MDIy4iU9+pA5hUKh9fPfunWrVrmvRCIh9rLXrcyNjo6ioKCAcvzUhtLSUr1HCukDrsSSmQG4BBJLZG4Jbxy8vb0pOUFTUxPi4uKgVCpx79493iqJSCTCunXr2GBZGwwhcwy8vLzwySefID8/n1qAxsbGeKtiXBlaQkKC1oWQ2zf38uVLzM/P6wwAZDIZrly5ovUxTU1N+PLLL7Fr164f1PyEC0dHRyxbtkxrkCSXy/HFF1/wypZEIhGSk5N19nJwz49vo7awsMDevXvx1VdfEcS/qqoK5ubmes2uqqqqogLT5OTkRRE5dbzuhpWWloa6ujqiUtbb24stW7bA2NiYJT3MkPTe3l68fPnytWbe8cHExIR1S2OqmJrADdzMzc0xMzPD3n8KhQK1tbVaLcHVh8gzj5uZmWHlXMy/P4QECVi47hny5uHhQSSJpqenkZ+fTzzezMwMWVlZkEqlVI9MbW0twsPDdVYI1PH06VOqqu3n50e4TwoEAhw4cAAPHz7knW1WVVWFhoYGJCcnY9myZcR9NTQ0RBFsQyrFXDg5OeHAgQMoKyvD7du3qXucT2LLJXKRkZF6zZeSy+WYnJzE+Pg462w7MTGByclJ9v+GVJL1gVQqZUmbk5MTnJ2d4eDgQFwX9+/fp6qT69atWxSRY/A6v8sgMzMTDQ0NxL1RUFCADz/8kCLOVVVV1D2kb/9ibGws7t27R8iznz59Shh6zM/P49q1a8TvSSQS4jHa4Ofnh3fffRfHjx8n1vZXr17h6NGjlFtjUFCQ3smB6OhotLW1EetVZ2cn7t27h7S0NOp+MTEx0dqHrFAoUFFRgQcPHmic+QYsmKwFBgZqPE+uo+ViK3MKhQIlJSW4d++e3gk/BjU1NfDx8dFZodUHQ0NDVK/kksSSH0tkbglvHEQiEQICAogKVWNjI0JCQnD+/HleK3hbW1vs2LFDb8JhyPBndTB9eAEBAbh69apBPTWWlpZIT0/X+hjGQpwJuFUqFfr6+nTKpAoLC6lsIdMDpP63MY6c27Zt0xmwLZbMAUBKSgpqamq0VmH4iJyPjw/y8vJ0yjmVSiVv0zgf7O3t8c477+Dbb78lsriPHj2Cubk573Bz9XPk6+fQZ77Rjw2RSISsrCyi+jM+Po7i4mKkpqYSpIepGs/NzaG/v58ldz09PYuSlFlZWSEoKAjBwcHw9PTUS5KnVCp5jSdevnxJmNVUVVVpJXN8kEql8Pf3h7+/P4CF+2Z4eJiQZ+o7Z1AqlcLPz4/90mYwUFhYSDnG5ubmskFXTk4O2traiKD42rVr8Pb21ovMT0xMUIPWnZ2dsWPHDvzrv/4rG4gxvYzbt29He3s78vPzqfuDuZafP3+OtWvXsu8Vdz21sLCAvb29znPTBqY6ExwcjPz8fL1krgxEIhFSU1Mpgsb39UM6pnLBrbYxXxYWFjqHSXMl+V5eXj8J6ZipqSlSUlJQWFjIHuvr60NFRQViYmLYY3zjCAICAvS+LiQSCaKjo4lq/rNnz5CamsqSnvv371NEOzMz06AkmZubG95//3189913xP7HR+ANSaAwCpPu7m7iuR48eAAfHx+9++UUCgUqKyvx4MEDvZIKt27dwsTEBLKzs3mvMe6asZjrv729HdevX9c5nJ1BSkoKHj9+TMQ6+fn5cHd316vSqQ3cpLipqelrJZLeZiyRuSW8kQgKCiLIXHNzM/7jP/6DN9seEhKCDRs2GFTp4JI5Q134wsPD4eHhgYsXL+pt7Zubm6tTIiMWi+Hg4EBk4nt6erSSuaamJkI6AyxkLffs2YOOjg6cPn2aWPRlMhmOHz+OzMxMLFu2jHfT4CNLhpA5sViMtWvX6hx6y8DU1BRZWVl6z5YZGhqiMorazs/d3R3bt2/HyZMnCXJ748YNmJubs4YnXDx48IDqH8vOzjaon+jHRHBwMHx8fIhh4sXFxYiJieF1bROLxazjGIPp6WmW2DFffCMtACA1NRXBwcFwdHQ0WALX2dlJvZfh4eEYGhoiyFxXVxeGh4cXPcAbWAjG7OzsYGdnx84Oa2tro8wvuDhw4ADc3Nz06gdpaWmhgpHg4GCiz8vc3Bxr167FxYsX2WOTk5O4ceMGNmzYoPM1bt68SSU9cnNzIRaL4efnR8ijGhsbERUVBR8fH3z88ccoLS3F3bt3qYTT0NAQjh8/jqCgIGRnZ1MSSz8/vx9svpOlpSW2bt2KiooKqgqjCXK5HJ999tkP8vqGQiKRYM2aNXB3d6eqbfri9u3bVE/n2rVrfzIzsxISElBeXk4E87dv32ali8DCvcIN9g1NYCUlJRFkbnZ2Fs+fP0dSUhJevnxJKTc8PT0JQqkvGGfnY8eOaZVbW1paQqVS6f05SCQSbN26FUePHmX3DGZgeVhYGPXc6lAqlSyJMzRZ9uTJE0xOTmLTpk3U9cetzBmiPpiYmMDNmzdZ918uTE1NqXXfxsYGycnJcHJyIvZyuVyOM2fO4MMPP9TbGZsLlUpFrZ/h4eE/mb31p4YlMreENxIBAQGUlTd34RIIBFoJiTYsRmbJhZWVFfbt24eSkhIUFRVpre6FhYXpdNJi4ObmRpA5bY6BMzMzlLzSxMSEHXvg7e2Njz76CCdPniQqbcxw3oGBAeTl5VGbxvDwMEWWDM3CBQUF8fbxcME43RkyS4pbNbSwsND5+wEBAdiwYQMRWAMLQ7v5MoIjIyPUbEB/f392bt5PAQKBANnZ2Th06BBbdWIs3rUZG6jD1NSUqGqNjIxoDKZ9fX0NIvXqUE/OAAvk297eHjY2NlQgUVlZSQ31fh1UVFRQDnh8GB4e1qsfZHZ2lno+ExMT3lllkZGRqKmpQUtLC3vs+fPnCA8P19ob9OLFCyrwio6OZs8vKCiIIHMtLS3sEGGhUIhly5YhIiICt27dopI9wAL5a2pqoqqV6uekVCohk8kwOzsLmUym8/98P/tLjqt4XchkMhQVFSE6Ohrx8fF6ydHV0d3dTQWosbGxBhme/NgQCoXIzs7G8ePH2WNTU1O4f/8+KzvnVuXs7e0N7qO0tbWlrtEnT54gISGBd6ZcXl6e3vu4QqHA4OCgQaY1n332GSQSCSGPdXJygqOjo0bS7u7ujrS0NMKwZHx8nNoXGDKnVCpRVVWF+/fvv5aJTm1tLaamprBz504iSc1NWOtD5pRKJUpLS3Hnzh2NSqL4+Hj4+vpSyddVq1bByMgIISEhSEhIQGlpKfuzwcFB5OfnY+PGjYb8aSy6urqoaiWTeFsCjSUyt4Q3EhKJRCs5Mjc3x/bt23XKDzWBS+YWO//JyMgIy5cvh0KhoFwr1WFhYUENANcENzc3Yvi2NhOUgoIC3sqRelXG2toaBw4cwMWLF4kKCLAQNA8ODmLnzp2EnIxLlszNzfWSv6hUKnR1daGmpgZ1dXV66fFnZ2dRX18PPz8/vWfLLFYCGhUVRVlhK5VKnD59Gu+++y7Rs3jz5k0iEDUyMvpBTBl+aDg5OSEuLo4w4dBmbKAL3GtEHbdu3cJ7771n8HvAJ7FksttCoRDh4eFEFr+qqgqpqamv/V4rlUrcunWLCr6AheHX09PTRNX64cOHelWHi4qKqN6XrKwsXkmmQCBAXl4e/vSnPxFVtitXruDTTz/lzWzzmZ5IJBJkZGSw3zO9NQwZm5+fR1tbG+GuamZmho0bNyIuLg75+flUYohPdlpQUICbN29CJpPp7Rr614ZIJIKlpSUsLCxgYWEBc3Nz9v89PT0UOdEGmUyGx48f4/Hjx/D19UVCQgICAwN1rt2ajJK4Yw9+CvD390dgYCBhCf/kyRO2L119TiWwUGVbzL24bNkygsyNjIzg1KlTlNGSJndOlUqFiYkJYjzEwMAABgcHF7Vny2QydHR0ECNr1OW0DMFzdnaGubk5AGDlypVob2+nKtjqMDc3R2VlJe7fv08N/1aHh4cHUlNT8fjxY2oW6NjYGPE3vXjxAkePHsWePXtYsmhoz1x3dzeuXbum0QnX1dUVubm5cHNzwzfffEP8zMrKiiBXWVlZ6OrqIp6roqIC3t7eiyJhlZWVxPf29vY6Zz3+nLFE5pbwRkJXbwtjjWuIbEIdi+2ZU8fMzAyeP3+OsrIynVm4x48fo6urC+vXr9dJPLgmKCMjI5TDH7CQWedmgf39/XkNYMRiMbZv34779+9TPTg9PT04cuQIdu7cyZoOGEKWVCoVent7WQKn71wwBvX19SyBsLW1ha+vL/z8/ODj46NRlvo6/XwrVqzAxMQEEeDNzc3h+PHjOHjwIGxtbdHe3k6RmoSEBIPswP+SSEtLQ01NjV7GBrrAZ6DBoLOzE42NjQb1nwALgQlXwqMuVYqKiiLI3OjoKDo7O+Hl5WXQ66iDcaDjBqbAwn2ydetWdHR04OTJk+zxwcFB1NfXa+1v6urqopw9vb29tUrErKyskJGRQRC00dFRFBUVYe3atdTjnz59Ssmc16xZQyRUzMzM4OHhQYwBaWho4B2V4e7ujg8++ADPnz/H7du3NcpoAWj92V8aRkZGLCnT9mViYqLxOucGjYagra0NbW1tsLS0RGxsLGJjYzX2UPIZJaWkpLy2UdKPhaysLLS0tLB7n0KhwI0bNyjJoEQiWXTFxMvLC87OzgQB4M4UY6R88/PzLFlTJ24/Zl8ksLB/vXr1Cq9evSIMT8zMzNgqnq+vr1Yyxx2rwYW7uztSU1Ph6+sLgUBAmSYlJyfDwsICp0+fJhI+L1++xFdffYU9e/bAwcFB75656elptj+WD4ycOC4uDkZGRujo6KDaRVatWkUkvUUiEbZv345Dhw4R53jt2jW4ubkZ1Gcrl8upfUbfFoufK5bI3BLeSOi6qZnZUUxPTFRUlF7WwAxeR2bZ39+Pp0+forq62iAnqJ6eHhw+fBgrVqxASkqKRmkHI/tQf+6enh5WBgcsLNZ8Mi9GXskHgUCAlJQUODo64sKFC0TWfWJiAkePHsWGDRsQGRlJuedxJZbMrLLa2lrU1tb+YHOZhoeHMTw8jLKyMggEAri7u7NGFK6uriwJ52YaDSFzjDRxamqK2Lynp6dx7NgxvPfee4RBALCQEU1JSXmNv+zHhampKVJTU4nKAJ+xgS6MjY3pHIdx+/ZtvSoV6uC6WLq4uBA9cS4uLnBwcCAITEVFxaLJ3PDwML7//nveJv9ly5YhMzMTRkZGCAwMhJOTE5EcePDgAUJCQnjvI7lcTs38EolEWu87BvHx8aipqSHI15MnTxAWFkbN1eMzPeGbN8kMYWfAyCb5zkUgECA2NhahoaG4c+eOXqMmfmiIRCKYmJhAIpFo7W/at28fnJ2dIZVKXyvAGxkZ4TXMUodAIEBGRgba2to0PnZ8fBx3797F/fv3ERwcjISEBHh5ebHnNjs7Sxkl2dnZ6e3++NeAnZ0dkpKSiKo1n0V9XFzcop00BQIBli1bRknb1TE1NYUvvvhCa0Xrr4GpqSmWzC8Wrq6uSE1Nhb+/P3utqFQqSl5oY2MDLy8vvPfeezh+/DjhxDk2NoavvvoKu3fv1tkzp1Kp8Pz5c9y6dUsj0YuKiqKMZrju4BYWFrxJYVtbW6xfvx7nzp1jj83Pz+PMmTP44IMP9L5OmpqaqHPX1Le+hAUskbklvLE4ePAgNZ+Mi6GhIRQVFaGoqAi+vr6Ijo5GcHCwzkXFUDKnUChQX1+Pp0+fapzFpQ+USiVrH75+/Xp4e3vznpuzszNh2dvb20uQOT555dq1a/UitCEhIbC1tcXJkyeJTUWhUODChQvo7++nBlIzZGlwcBA1NTWora3V2w1rsWAkm11dXbh79y4kEgl8fHzg4uJCOXca2pMiEAiwadMmTE9PE5v1yMgI/vCHP1CPX7NmDbWR/tQQHx+PsrIyrcYGusCtRkokEsrAY3BwEM+fP9c5zJ6BQqGg3Ay5BgICgQBRUVFEQFxXV4fc3FyDA8n29nacOXOGPVkeywABAABJREFUCmaYvhx1cisQCLBq1SoiOOnv70dLSwtvb+SDBw+o6z41NVUvsxaBQIANGzbgiy++IBI1ly9fxscff8wmdzSZnvCR56CgIGKe19TUFLq7u7X2/TH274aSOYFAAIlEAolEwhIy5v/c7zX9n/kbp6en8a//+q8aX+vx48fYvXv3a2fqnz17RnxvYmKC999/H4cPHyZMLTo6OrB37142kVRRUcEbDDNy4bq6Otjb2yM+Ph5RUVF4+PDhT9ooSROSk5NRWVmpsRorEAiQkJCg8feVSiVmZ2cxMzODmZkZyGQy9v/M99z3hYu5ublFEzkrKyu2eubo6Ijr169rreRFR0fD2tqarf79WATS1dUVKSkpCAgIoK7hyclJKglsY2MDYCGpdfDgQRw7dow4N5lMhu+++44iWOp/a39/P65du0ZZ/TNwcHDAunXrqARZd3c3RVhXrlypMdkcHh6O9vZ24t56+fIlCgoKsH79et7f4YKrKPLy8tK7xeLniiUyt4Q3Fu7u7khKStK734HJoonFYoSFhbFmAXwBgb4yy4mJCZSXl6O8vFznpuTs7IyEhATU1dXpzAYPDw/jm2++QUxMDDIzMymi4ObmRizK6tWS+vp6yhghICDAICmMk5MTPvzwQ5w5c4aSV/D1F7W0tKCkpIR3RhQfHBwcYGlpqfN9CAkJgVAoRFtbm055l0wmIySZ6rh+/TokEgmEQqFBX4GBgTozr05OTj/ITJ0fG/oYG+gCV/oSHByMyMhIPHnyhCD4d+/eRUREhF5OZm1tbVSAxSVzwEJm9vbt26zEem5uDg0NDQZlbEtLS5Gfn0/JtE1NTbFz507eHsLQ0FDcvXuXqBQ9ePCAyKYDC9JeruW8i4uL1tEWXNjZ2SE1NZUgrYODg7h//z7WrFmj0/SE7/ns7e0JgtnY2KjTxIX7d/DBwsICu3fvhpmZGSQSCYyNjX8wGZS6GQwfmpub8eTJEyxbtmzRr6FQKCiZWVRUFJycnKg5mE1NTWhtbYWfnx+ysrKQlpaG2tpalJWVaaxUDw4OoqCggOqTA356RkmaIJFIkJ6ernFGqUqlQmlpKUvM1Mka8/1fAmKxmCVs6uRNXXbY0tKiU5LZ0dGBdevWsURldnYWL1++RH9/P2GmstheURcXF6SkpGidFcdVsQiFQkK6a2Njg4MHD+LEiRPEtSeXy4m+aADs53D37l08ffqUtz3F2NgYqampSEpK4k0ucKty5ubmOve7tWvXoru7m1DwPHv2DN7e3jrX6+npaUr6vjRbTjeWyNwS3mhkZ2ejqamJWgBtbW01ZtXm5ubw/PlzPH/+HLa2toiKikJkZCSR+dFWmWMqQk+fPkV9fb3WfjojIyOEhoayw8AFAgHRXA0sDFo1MTFBcXEx9VzPnz9Hc3MzcnJyCGkXt2+up6cHKpUKMzMzvINW9ZF5cWFqaoq9e/eisLCQcKniA1cmxwdbW1uEhYUhPDwcjo6OOHPmDHWeAoGA2HB7e3vxN3/zNzA2NkZ/fz9aW1vR1taGzs5Og6Sv+o6HWAyys7MNkhT+NcFnbPD48WPExsbqdOYbHx+nqs6hoaGsa+y3337LHp+cnERJSYle0lOui6WbmxtvFtbS0hK+vr5EAqCyslIvMqdQKFBQUEAFO8CCRHj37t0aM79GRkZYuXIlIZ/s6upCR0cHWzlXKpW4cuUKcf8ylTZDr43ly5ejtraWIMfFxcUIDg7WaXrCh6CgIIrMafud/v5+KoDjw8TEBG7duoWdO3cu2n5cE7hkzs3NDaOjo4S87ObNm/D09KTWQn3R2NhIDY5mqslMRUr954WFhfjkk09gZGQEY2NjREdHIzo6Gn19fSgtLTVIVq/v4OufAqKjo1FSUqJRaVFcXPwXPR87OzuKuFlbW2vd31QqFWVAZm1tjdTUVEJVMDIygqdPn2LFihUAFiq1Hh4eRPKDmVE5MDDAkrz+/n6dveCZmZlYvny5zn2YG8vY2NhQv2Nqaor9+/fj7NmzvD2/DJRKJf74xz9qdKkMDQ1Fdna2RsVOb28v9fwrVqzQqYYwNjbG9u3bcfjwYYL4Xr16Fa6urlr3mpqaGmIdFYlEP4kZjD91LJG5JbzRYGQeN27cYI8ZGRnh3XffxejoKCoqKlBXV6dxMRseHsadO3dw584d+Pj4ICoqiq0GqUOhUGB+fh7V1dV4+vSpzgqUubk54uPjeRviuQuhUqnEmjVrEBYWhitXrlCZ3snJSZw5cwZBQUHIzc2FpaUla0TCYGpqCuPj47h58yYVoKxdu1brYGNtmJ+fR1hYGDo6Oqg+OX1gZWXFEjhnZ2d2UxobG6MqaCkpKZBIJLh06RJ7bGxsDPfu3UNmZiZcXFzg4uKCVatWYW5uDh0dHSy545pB/CXBJ4X9KYNrbKBUKnHz5k3s2rVL6+9xpZAmJibw8fEBsDDM3d/fnwjCHz16hPj4eK0GD3K5XKfEUh2RkZEEmWtra8PExITW63tmZgZnzpwhZu0xCAoKwpYtW3SSkcjISNy7d49wqHzw4AH72T958oS6b1euXLkoy3kjIyNs2LABR44cIT6jI0eOUI/lmp7wITg4mAi4BwcHMTQ0xBtQKRQKXLx4UW/Dp7a2Nnz77bd45513DBodog1KpZIic9HR0bCxscGxY8eIx507dw4fffSR3jJhdZSXlxPfe3h4sL2/jMukekXq1atXKC8vp2SFLi4u2LBhA7KyslBRUYGysjKt/X4AfrJGSXwwMjJCVFQUYb//l0ZkZCSSkpLg4OCwqP685uZmyqk1OTkZkZGRKCsrI1Qu9+/fR1RUlMb7Sn1GZWhoKDtAndtHzUVVVRUSExN1zibkI3N8EIvF2LVrF65cucI7WoQBX+xjaWmJ9evXE60ZXMzNzRF7MbBAIvWVz9vb22PdunUEWZ6bm8PZs2dx8OBBje8DV2IZFBRk0IzgnyuWyNwS3nhER0ejqKiIzYoqlUo8e/YMqamp8PT0RE5ODhoaGlBZWalV1tfe3o729nZcv36d6knp7OzEv/3bv+mUjXh6eiIxMRHBwcEa+yG4gSOTuXJycsKBAwdQWlrKO1i2sbER7e3tyMjIQFxcHCQSCXE+t27doqocQUFBekkUmKZrbraR24itD8zNzREaGorw8HC4u7vzZiJLS0sJyYdYLEZ0dDRMTExQWVlJVNIeP36MyMhIwsRELBYjICCAlSqNj4+zBgX6VAl/KNjZ2b1xDluajA0YGZkmcCWWzJxABhkZGUQQPjc3h3v37iE3N1fjc7a2tlLBhjYyFxwcDLFYzN6fKpUK1dXVbCadi1evXuH777/nNeBZvXo10tLS9Pr8hEIhVqxYQbjMtbW1oaenB6amplTW387O7rUMcZydnbFq1SqtFTJNpidcuLm5wdzcnJCBNzQ0YOXKldRj79+/rzVR5eDggLGxMWJ97Onpwddff429e/caZDKlCT09PZQcLiAgAFZWVli5ciVBTIeHh3Ht2jVs3rzZoPtweHiYkk9z38vo6GgqcXfnzh2Eh4fz9sdKJBIsW7YMSUlJePHiBZ4+fUolKgDgb//2b/U+z58K/P39X5vMCYVCSCQSSKVSSKVSKJVKnWZKDKqrq+Ho6Lgoa3q+qhyjyGHMrtR772dnZ3H37l2sW7dO53PL5XJcu3ZNK5liMDAwgIKCAuTl5Wl9HHfP1dYrxiR+LC0t9aqmMxgfH8fx48chEAio1gIjIyMIhUJeZdPy5csNqsJHRUXhxYsXxPvT39+PGzdu8O4LQ0ND1DWxJLHUD0tkbglvPKRSKSIjI4mG2/LycqxevRpCoRDGxsaIiIhAREQExsfHUVlZicrKSo3ZUy6RY6CJyIlEIkRGRiIhIUGvTDw3s6j+ekZGRkhKSkJwcDCuXbtGSRzm5uZw/fp1VFdXw9jYmDgnLomRSCRYt24dFeTI5XLW1lmduGmqXuqLuLg4hIeHw9PTU6u0bH5+nsqKR0VFsdm3devW4fPPPyeqElevXsWBAwc0BmyWlpaIjo6Gk5OTVjJnbGyMhIQEKBQK9kupVEKhUEAulxPH1b80VSX37dun9T35qSI5ORlVVVWUjOzjjz/mTUJMTk5S8uCQkBDieycnJ0RHRxMbd3l5OZKSkjTKarjJB09PT62EQCwWIzQ0lHiNyspKXvlSc3Mzzp07R13XIpEIGzZsMNgdLSYmBvfv3yfes/v370Mul1OJl/Xr1+vMwHOhUqkgk8kwPj6O8fFxnZWudevW6SXhFAgECAwMJNbHxsZGisz19fXptFD39PRETEwMjh8/ThCuV69e4auvvsK+ffsMHqTNBXfNc3R0ZOdipqWl4cWLF0TAV11dzZpb6Qvu+iORSCgpl5GREdauXUvM15qZmcG9e/d4x0UwEAgE8PHxweDgIC+ZM8Si/acCrluxOsLDw1mSpk7WuN+LRCL2HpXJZNTcMmBhDcnIyMC1a9cIUqNSqXDr1i10d3dj48aNBlVqGhoaKHfjlJQU9t5xd3dHREQE0YvKVGC1/d1TU1M4ffo04RbLICwsDLm5ufj6668J1Uh5eTm8vb0RHh6u8Xn1rcwxEAgESEtLg0QiIRRK+kClUkEul+stD3706BEmJycRHBysc59nkJOTg+7ubkKmW1paCm9vb+qe41blTE1NtSYYl/DfWCJzS3grkJCQQAQrk5OTqK+vpxZNS0tLrF69GqtWrUJPTw8qKipQU1OzKCJjY2ODhIQEREdHG+RkqKkypw4rKyvs3r0btbW1KCgooKST+jhmMg53ra2tLGHr7+/H4OCgzjl9hsLV1ZWXOPKhqqqKIsbqFt329vZUVaK7uxvPnj3TWYngk9KpY35+Hvb29gbZ8SsUCvzpT3+iMpW/+tWv2MGxbxqYOUJcGVlZWRmSkpKox3ODUrFYzLvJpqamoqamhqiSFxUVYfv27dRj5+fnKatzbVU5BlFRUQSZYwwKmKy9SqVCSUkJbt26RV3n5ubm2LVrFyVT1gfGxsZYsWIF4Q7JnYkFLLiG8o1MmJ2dxfj4OMbGxljCxv2/IcYKra2tsLKy0ktCHRQURKyPXV1dmJqaYqVkcrkcFy9eJN4vIyMjeHh4ECReqVTCzc0NBw4cwHfffUf0CTEW6Xv37n2t4b5ciaW6FEwoFGLr1q04dOgQsWZfv34d7u7uehElhUJBVVKioqJ45Xve3t4ICQkhJOGlpaWIj4/X+lozMzNUNQgA/v7v/17n+f0UYWRkhP/5P/8n/vM//5OQGgML96whcyXn5uZw4sQJimDZ2dlh7969MDc3x0cffYQLFy5QxL6hoQEvX77Ejh079Bo3o1KpqDEe9vb2VFyQnp6O+vp6dt1SqVS4ceMG9u7dy/u8AwMD+P7776n3AlhYA5OTkyEQCLB9+3YcOXKEuK+vXLkCFxcXjUkPQ8kcsFBp1qc6+LqYmZnBkydP8OTJE0ilUgQFBSE4OBi+vr4a5a/MDNsjR45QLr0uLi7s36dSqSgyFx4e/pN3fP2p4M3o2l/CEnTA2dmZcqLTZq3NzCjLy8vDr3/9a2zdupVyp9OF8PBw+Pr6Gqzn5pI5TZVAgUCA8PBw/O3f/q1BWWcGN27cwO9+9zscO3YMN2/eRHV1NV69emUwkTMyMtK5cfb29vJmoblg+gvU4e/vTwVGq1atojaxW7du6XQM1UXmgIXNVNvgay6ePHlCEblNmza9sUSOQXR0NFVJvnv3Lq9rKLe/MTAwkHfztrKyoshgXV0drx12c3Mzce0LBAK9Gt29vLzYSg0DZvAzM+ft5s2b1HXu6uqKDz/8cFFEjkF8fLzOxI29vT3u3buHK1eu4Pjx4/j888/x29/+Fr/97W/xpz/9CcePH8eVK1dw7949VFRUoK2tDYODgwY75N29exd//OMfcfbsWbx48ULrfc0XbKkT0fv371PV59WrV1PvFVMtt7e3x4EDB6iAdHp6Gt988w1VxdUXExMT1NgT7pBzGxsbyuJ8fn4e586d06vCUF9fT13j2pJEmZmZRECpVCp1VkDu3r1LSUXfffddvUZU/FQhEonwN3/zN1Tl/MaNG3pXduRyOU6ePEklI62srLBv3z52TZVKpdi9ezdSU1Op5xgeHsaXX36p17D3uro66rpWr8qpvz5Xqt3a2sprLtLQ0IA///nPFJFjTD9SUlLYOMLBwYGSEzJ9Y3zv2fz8PDVWRxeZa2pqwuHDhxfV0/46mJmZQUVFBU6ePIl//dd/xenTp1FZWcnrGOro6IicnBzi2OzsLM6ePcsamXV2dlIS08UOo/85Yqkyt4S3BomJiYTkoaurC319fTqzxCKRCOHh4QgPD8fExARKS0t1yo2ABQOEBw8esI3QoaGhcHJy0kkItcks+SCVSrFx40ZERETg6tWreg/g1kV8+CCRSODs7AxnZ2c4OTnB2dkZDg4OmJ6exn/8x39oDThv376NoKAgrdKLFy9eUGYlfJUgY2NjrFu3jjA8kMlkuHHjBrZs2cL73AqFggoit23bhpGREaLfQ6VS4dy5cxCLxVobwIH/tu5Xh5ub21uh42dkZF9//TV7jLGxVg9ApqenKZLMlViqY9WqVXj27Bmxqd+8eRPvvfcecW9wJZZeXl56EWSBQIDIyEjiHmX65s6ePctbtQ4PD8eGDRv0Nk9gnGGnp6cxNTVF/KvL3pzPiv7HglKpRG1tLWpra+Hg4MDONeMagohEIvj7+xOkvLGxETExMejp6aFGETg7O2P16tVUVUPdQdbKygrvv/8+jh8/ThCw2dlZHDt2DNu2bUNQUJBBfw+3KmdiYgJ3d3fqcWFhYWhrayOqjf39/bh58yYVNHLBlVh6eXlpNSSxsbHBsmXLiF695uZmtLS08K4fr169otx/Q0JC3jijJD6IxWJkZGTg/Pnz7LGRkRE8efKEtwdTHQqFgteIyNzcHPv376cSNAKBACkpKXB3d8e5c+eI+46pJHd1dWHt2rW8kmalUkldv46Ojhqr/ytXrsSzZ8+IffPGjRvw9fWFUCiESqXCw4cPUVRURP2upaUldu/ezdtmER0djRcvXhDks7+/H4WFhVRfHl+lT1PPnFKpxL179wzqldu0aRO8vb2pNgKm1YD5mpqaItx7dWF+fp4dCyQQCODt7Y3g4GAEBwez5D8mJoYardLb24tbt24hOzubqsrZ29u/VoX/54YlMreEtwbBwcFUo39paSk2bNig93NYWFjodIfjYmhoiCV2tra2CA0NRVhYmEZip4/Mkg+MccUPFSza2tqyhI3519LSkveci4qKqPPkmhEMDQ3pHBbNrcrZ2dlp1MT7+fkhPDyc6IGrrq5GdHQ0fH19qcd3d3dT5+jj44OwsDDIZDLiXJVKJU6dOoV9+/bxzhZjUFRURElw165d+8aZnmiCl5cXwsLCCGJVVlaGuLg4thrb0NBAVH2MjY21zsiSSCRYvXo1Ub3o7OxEU1MTG9zPzc1REkV9JJYMoqKiCDI3PT3NO8wdWOizWrlyJWZmZjA8PMxL0Jgv9e9/aCnyj41Xr14hPz8ft27dYnt41SvqQUFBBJlrbW3FzMwMLl26RMkrN27cyJohqIPrcmlmZoZ3330XJ0+eJEyL5HI5Tp06hY0bNxqUXedWQvz8/DTKrNauXYuuri4iOfT06VP4+PholP0NDQ1RY0r0MZFZvXo1Kisrib2lsLAQPj4+xPmpVCoUFhYS76dQKNR7juObgPDwcJSWlhJJE8YBUlMyRqlU4uLFi9Q9L5VKsW/fPq0VSz8/P3z88cc4c+YMZY5RXl6Ovr4+bN++nSI9NTU11DiF1NRUjWu3WCxGeno64eA4ODiI8vJyxMTE4PLly7z92O7u7ti5c6fWRFRubi56enqI8ykrK4O3tzex7nETtaamprxOrTMzMzh//rzOeYxcXL9+He+//77O3n6+Kt+HH36IpqYmNDY2UhJZdahUKtZMLj8/H66urggKCkJISAjWrVuHnp4eQuny+PFjuLu7U8m9yMjIt2af/Utgicwt4a2BUChEfHw8kY2rrq7mHbqtCUqlUu8h5HwYHh7Gw4cP8fDhQ5bYhYaGErb8+sosZ2dn8eLFC9alUZfdtSaIRCJ2Hg9TdXN0dNTbzru3t5fS48fExCA9PR1tbW3UsOjIyEjeCsjIyAjVI5WYmKh1wc7OzkZzczNBqK5du4ZPP/2UysZyM77Ozs6siUR6ejpkMhmRlZfL5Thx4gTee+893s2tr6+PyPwDCxsMX6XgTUZmZiYaGxuJfpHCwkLs27cPAoGAklgGBATorHAlJCTg6dOnhGzm1q1bCAgIgJGREZqamgiZkb4SSwZ2dnZwd3fnlW9yUVJSwtu/9NeCVCqFlZUVLC0tYWlpyf6f+Xd+fh7ffvst1SerLxiDofLycnh4eCAhIQEhISEICAiAQCBgiYZcLsdXX31FBbzJycns/cAlUnwjC0xMTLBnzx6cO3eOkFqrVCpcvHgRMzMzeg33VigUlNuwtqSBsbExtm3bRvXiXLp0CS4uLlSlB6CrclKpVGuVmQEzqkC9WjE4OEj1mDY3N1N/w4oVK/Tqe3pTIBAIsHbtWmJUxtzcHG7fvo2NGzdSj1epVLh69SpFhExMTLB3716tJiMMrKys8N5776GwsJCaFdnb24vDhw9jy5YtbKWUqVqpw9nZWWdvX1RUFJ4+fUrsafn5+bxSe+bxeXl5Os2OdPWNMWRWn365/v5+nDp1alFO00y/4sGDB3nvDwbcmXmmpqZwdXWFq6srUlNTMTo6ioaGBjQ0NKCzs1Nr4qu3txe9vb24c+cObG1tYWNjQ72XZ8+epX7vbVC//CWxROaW8FYhLi4O9+/fZ4MOuVyO58+fa7Qu54JvADkXOTk5GBkZQV1dndZBoerEzsbGhq3YaZJZKpVK9PX1obW1Fa2treju7tZ73pMm7NmzB76+voseas0E9uoQi8VYs2YNBAIBMjIy8N1337E/m5ycxOPHj7F69Wrqubg9jCYmJjp7Ac3NzVl3MwbDw8N48OAB0tLSiMdyrcaZGWjAQgCybt06zM3NETKP2dlZfPfdd1T/j0qloiqgxsbGSE9P13q+byIYy3f14Ke9vR2NjY3w8vKi3ld9gl+RSIQ1a9YQcqzBwUG2csvNwvr6+uo9p0wul6O9vV0vIgdodqH9MeHv789L1CwtLbUS4cnJSV4i5+XlRUmIN27cCJlMpnWuWVdXF7q6umBqaorY2FhYWVkRQSCXyDFzHBlw1w11maU6RCIRtm/fzjvzqrCwEDMzM1qrIsy5chNbumTQjo6OWLt2La5evcoek8lkOH/+PN59913i/OVyOXVu0dHReruORkdHo7S0lEpeRUREwNTUFAqFglorLSwsiPfzbYGrqyvlXFtRUYGEhARiiDuzfzx//pz4fZFIhHfeecegge8ikQjr1q2Dh4cHrly5QpCimZkZHD9+HCkpKUhJSUFVVRVFGHRdfwDYUQXq0nMAvERO3yHgDBwdHZGbm0skBJj+uQMHDkAkEukkc5WVlbh69SrVbycQCJCVlQW5XE60FPj6+kIqlRLr7cTEBI4fP44DBw5o7PfnxjXcPklra2ssW7YMy5Ytw/T0NBobG9nxNtr6J4eHh3nfSy68vb21ks0l0Fgic0t4q8DMOFPPApaWlmLZsmV6EZrHjx8T39vY2EAmkxF6/ebmZuzZswdZWVno6elBXV0d6urqePXuDEZGRlBcXExI/RjMzs7izJkzaGtr+8EDzzNnziA3N3fRkoW6ujrKenn16tWspMTX1xd+fn5ENrq4uBhxcXFEcD43N0dt6DExMXrNrImLi0NlZSURvBcXFyMiIoI1Tpmbm6MkOOpkDljY8DZu3IjZ2VlC7jM9PY1vv/0WBw4cYDcQTX/3DzFH66eIlStX4vnz58QmfuPGDaxcuZJIKIhEIq3VEnWEh4ejpKSECn4DAwMpOZ0uieXk5CSamprQ1NSEtrY2g81CXgdisRhmZmYwNTWFqakprymCOiQSCZKTk+Hh4WHQ68hkMhw7dozKuPv4+OCdd97BsWPHCEL34sULbNq0CUlJSWhvb0dZWRkliWUwPT1N9cVxYWRkhE2bNhHVOF0yS+7vb9iwAVKplJhhCCzI8Kanp5Gbm6txHeK+ry4uLnr1UMbGxqKtrY0wNers7MS9e/eIhE99fT3V76jvAGSAP9BX7zHlq96kp6cbNJfrTUJ6ejrq6uoIAl5QUID333+f/Yzv3r1LKV2EQiF27dqlVd6uDczM0dOnT1Pv971799DZ2UkNCHd1dWWNdJRKJSYnJwk3WXVXWW0JWgaJiYmIiYkxeE9l+ufU+8P6+vrYuWtcMsdIRxUKBQoKCqiqJLAgdd6+fTu8vLyoBKSFhQXy8vKo0TKvXr3CqVOnsGfPHt5kBteERZtjrqmpKWJiYhATE4O5uTm0traioaEBTU1Ni45nlqpyhmOJzC3hrUNiYiJB5kZHR9HS0kK5onHR19dHZb9TUlIwOTmJW7duscdaWlrQ2dkJT09PuLu7w93dHZmZmejt7UVtba1OYscHfd0VpVKpTgMGdczNzeHixYtobm7GunXrDBqhIJfLCRt24L8zcupIT08nyNzs7CwePHiA7Oxs9lhFRQXVe6Y+jkAbBAIB8vLycOjQITZQVSgUuHbtGvbv3w+BQICOjg4i0DQyMuK1hxcKhdi2bRtOnDhB9M6Mj4/ju+++w3vvvQcTExPev3v58uV6ne+bCGNjY15jA/WKB7BQKdFXnqupcvvNN98QFR4jIyNK/qRSqTAwMMASOH2HC+sDiUTCkjN1ksY9xvyrHuzI5XL84Q9/4HX8ZCCTyfDtt99i586dOitL6s978uRJamC3s7Mzdu7cCZFIhJCQEGJ9amxshEKhgFAohK+vL3x9fTE+Po7y8nLKyEEfpKamUpI3fWSW6hAIBMjMzISpqSk1ZLqsrAwymYwijAy4ZE7fpIFAIMD69evR29tLEOH79+/D29ubTepwJZbe3t4Gz8TT1GMaGhr61holaYK5uTmSk5OJvbGrqws1NTWIiIhAcXEx9Z4IBAJs27bttWeHOTk54aOPPsKlS5coGTifo/HQ0BCOHj2KsbExTExMvHY/7NOnT/H06VNW7u3m5gZ3d3c4OjpqtdJnFCK9vb28c9f4KnPj4+M4c+YMrxLB3d0dO3bsYMkW9543NzeHSCTCzp07KUn1ixcvcOnSJWzZsoUipVxCq8/4E2Ah8RUSEoKQkBDWkKyhoQGNjY16kWQGfD3xS9COJTK3hLcO7u7ucHZ2Jpp0S0tLdZI5blXO3Nwc4eHhUCgUKCkpIaRPRUVFePfdd9lFUCAQwM3NDW5ubiyxYyp2i9G2M2BmPfn5+cHPzw/m5ub4/PPPtWa8rK2tqdesra1FZ2cnNm3apPdCWVJSQpHSzMxMKpPn4uJCGZWUlpYiKSkJ1tbWUKlUlMQyKCjIoD4SJycnLFu2jMj4MxnOqKgoSgro7u6uMSNubGyMXbt24dtvvyUyuENDQzh27Bh8fHyovzsrK8vgIdBvGviMDbjQR2KpDl9fX/j7+xON+lxJoJ+fH6RSKSufZAicIZu/NsTFxSEhIQFmZmaQSqWvNbeorq6OInIHDhzArVu3iEquXC7H999/j82bN2sdEAwsEKTz589TiSQbGxvs2bOHJc/BwcFE5l0mk6Gjo4O4ny0tLZGWlobk5GQ0NDSgrKyMMvzQBD43Qn1lluoQCARYtWoVpFIplQyoqamBTCbD9u3biftzdHSUcrnVl8wBCwR969atOHr0KEE4L1y4gI8//hjT09PU+2tIVU4dGRkZVI8p3wDst8koSROSkpJQXl5OkJBbt25hYmKCIHkMNm3apNdMOpVKhbm5OcKciHGX5X6vD2ZnZ/WazWoohoaGMDQ0xDpVikQiuLq6srGAu7s7ZSomFouxbds2fPnll1T/HDfhOT4+jsOHD/P2zyYkJCA7O5tYzzRV1KRSKfbs2YM///nPBOGrqamBlZUVMjIyiN/jPs9iFCnqSaacnBz09PTg+vXr1OgRPiy2LeTnjLc7OlnCzxICgQAJCQnEQOSWlhYMDQ1pzMROTExQDdoJCQkQCoUQCoVYvXo1EUh1dHSgvb2dlxipE7uMjAz09fWhtrYWjx490uv87e3t4efnB19fX3h7e7NBj0qlwsmTJ3VKF/bu3YuHDx9S/SETExP47rvvsGzZMqSnp2slJxMTE5Qsy8vLS2Mwv2bNGtTV1bGBlEKhwN27d7Fp0yZe8xZ9q3LqSE1NpaqeN27cQEBAAJWN5UosuWBMG77++msiiBwYGKCqI4zN8tsOPmMDdQiFQp0JET5kZGRodV2bn5/HqVOn0Nra+qPIJ5lgMycn57VnA3It5729veHh4YG9e/fizJkzRHVJqVSyluoJCQm8z6dSqXD9+nWqumBmZsYOUGZgZWUFV1dXIgFRX1/PuwYJhUKEhYUhLCyMtcqvrKzUaLbk4eHBG0AZWplTR1xcHCQSCc6fP0/8XktLC44dO4bdu3ezSgFuVY4xXDAE7u7uWLNmDUEiJiYmcOnSJcot0dTU1ODEBAOmSq9tfE1UVNRbZ5TEB5FIhKysLJw6dYo9Nj4+TikbgIVkgZ2dHZqbm3kJGpesvW6/+F8DcrkcnZ2dRGLH3NycqN65urrCyckJOTk5RIzCJXIAKBMXYOE9z8vL43WJ5avMMbC2tsY777yDo0ePEutscXExrKysiDXKEJmlNqhUKnR2dqK6upp3vqMmGDq7dwlLZG4JbykiIiJw8+ZNgviUlpZi7dq1vI9/+vQp1RsUHx/Pfh8XF4dHjx4R1YKioiL4+Phozb4KBAJYW1vrJbvcsGED/Pz8NGbBqqqqeO3c6+vriXOXyWTYuHEjAgICcPXqVUqW+fjxY7S1tWHLli0ah4EXFRVRgV92drbGv9XGxgbx8fFEBa6yshLLly+neiYcHBx0ki0+iMVi5OTk4OTJk+yx6elpXL58mSJg+jy/qakp9u3bh6+++kpj9ZTpk3nbM+wM+IwNGDAGD0yCw8jIiPf/fD8zMTHhDVYA6F05YuYCBgYGoqamxiBb7ra2Nnz++edYvnw5kpOTF9XH1NvbS0mdmKSEsbExdu7ciUuXLhEGO8CCHfjMzAxWr15NXUd3796l5H9isRh79uzhtWsPCQkhyFxDQ4PWPjTgvwcXJyYm4r/+6794H9PV1YWpqSlqLIshPXN8CAsLg0QiwalTp4gAsqurC19//TX27t0LCwsL6rP09/dfVHZ+xYoVaG9vJ2TffD2O0dHRBlVoFQoFO7piampKqznD22qUpAlBQUHw9fWl1BFcaOoZ/2tBKBSypkTqzrL9/f2Ui7E6JBIJ5ufn9apSAwsEi3F+BBb2FEdHR7i5uRl8ztbW1ti5c6fG0QK6SJiLiwt27NiBEydOEFLT/Px8WFpasqNjdBmgaINKpUJ/fz+qq6tRW1trsMLiV7/6ld7zQJfw31gic0t4K2FsbIyYmBhClldRUYE1a9bwznnjBlSRkZGEgYdIJEJKSgqRSevp6UFzc7PWakV9fT2uXbum02Y8ICAAMTExGn8+Pj5ONTebmZmx82vUycjY2Bjc3NwQGhoKDw8PXLx4kdpoX758iSNHjiA9PR3Lli0jgsG+vj5e1zddAzyTk5NRUVFBkEC+JvWkpKRFk6OgoCAEBwcTFujccQfGxsYas+IqlQrDw8Po6+tDX18f+vv7tcpgo6Ojdc7keduQnp7OS+YAaDz+Y8Ha2hqBgYEIDAyEt7c3hEIhJiYmdA609fT0pAxslEoliouLUV1djezsbISEhBh0HXKrcurBD7AQHG7evBlSqZSSFd+5cwfT09NEYqC0tJTqKWLMITTdayEhIUQv2uTkJLq7u3WarczOzvLaf6vj4sWLeOedd4j3ZDEySy78/Pywf/9+HD9+nEiuvXz5EkePHsXu3bup9UnfXkMuBAIBNm3ahC+++ELrmhsTE4PJyUli3qD6F3cWoSFGDomJiYuuZLyJYJwUv/jii7/2qWjEihUrqFEgZmZm1P2vUqlw+PBhrc/l5+eHzZs3Y2BgAN3d3ejp6UF3d7deLo3Ma/ApQHTB398fW7Zs0dj3Pjs7Sykb+JQI/v7+WL9+PbGGqlQqnD17Fu+++y6cnZ2pCpo+1/Pg4CBqampQU1Oz6DFKGzZseG31xM8VS2RuCW8tEhISCDI3OzuLqqoqouIGLFSQuNUrvrlIUVFRePjwIdEfUFRUxM5vUsf09DTy8/N5h4zyob+/HyqVije4ZOb0cAOKvLw8mJqaUnbj6lVACwsL7N27F0+fPsXNmzeJYEyhUODGjRtobm7Gpk2bYGlpyWvJzwxT1QUzMzOsWLGCmPPH3eAkEslrmwLk5OSgra1No2TMy8sLQqEQCoUCr169Qn9/P0vc+vv7Nf4eH36O2v2/9mbq7u6OwMBABAUFwcHBgbonysrKdFaIVq5ciaSkJBQWFlKZYcZQwM/PDzk5OXqZYExPT1P3clxcHHV9MFJVU1NT4j4AgCdPnkAmk2HDhg2or6/H9evXqdfZsmWL1qqynZ0dHBwcCGlwfX29VjKnUChw5swZncFjS0sLHj9+TBj9vI7MUh3u7u54//33cezYMaJ6MDIygj/96U/EYwUCgd4GGSqVCvPz85iZmWG/ZDIZvL29qfEX6tBUofwhoMuZ9W3EjzlHTygUQiqVskZFpqam1Pfz8/NUf6Y6wsPDdSYjgYVKN3cgNrcHvba2FsnJyezcNQbT09Mssevp6UFPT88P5k6dnJysc7QCn+GRJhIWExOD0dFRIpnE9Plu3bqVerymytzY2BhL4LQNEleHm5sbwsPDUVxcTJyzo6OjzlFFS9CMJTK3hLcWNjY2CAwMJKSJpaWliIuLYxdFlUpFyQD9/f3h4OBAPZ9QKERqaiouXLjAHhsYGEBdXR2xgTc0NODq1au8mWGJRILc3Fy4uLgQAcXExATGx8d55TsVFRWUVCgiIoLt4+L+Djd4FQgESEpKgo+PD86fP08Fde3t7fj888+Rl5cHgUCgdRSBLixfvhylpaUas+KxsbGvLaFgTB64M50YtLS04PDhw3j58uWiKgnq0Dfb+jbB0Izx60IsFsPPzw+BgYEICAigpH7qkMvllD13bGwsBgcHieu2vr4eGzduhL+/P+7fv4+SkhKKiLS2tuJPf/oTVqxYgdWrV2uVXlZUVBBmBUZGRoiNjeV9rEAgQEpKCqRSKfLz84mfVVZWoq6ujrc3cN26dXoNTg8ODqbIXGZmpsZE0PXr16lB1nZ2dti9eze+/vprIqC6desWvL292cD3h6jMMXB0dMSBAwfw3Xffab2vBAIBent7CYLGkDTusZmZmZ9cb9Xdu3exe/fuv/Zp/EWhr7mIUCjUSMq4BI05JhaLdVbQL126pPXnJSUl2LJli9bHqFQqKgFjb2+P999/H5999hkhE7937x62b99OPNbU1BQBAQGscY9KpcLQ0BBB8JikrSHYvXu3Xr3KXImliYmJ1r02NTUV4+PjhNpienqacB8GFlRJ6j1sU1NTqKurQ01NDRUraIKjoyPCw8MRHh4OGxsbNDc3U+STT4a+BP2xROaW8FYjISGBIHMvX75ER0cHvL29ASwE/tzBuXxVOQbh4eF4+PAhEUzdvXsXISEhkMlkKCgooHpmGAQFBWHdunWwsLCASqWixgx0dXXxEjMuaTE3N0dOTg77PTdrpqk/z9HRER988AGKioqoOVAymYxXhmVlZYW4uDhMT09jfn5e49fc3Bz7f20BX2trK16+fAmlUgmVSgWlUkl8cY9peoy2waQA9HLM4oKvr6u9vR3Nzc0GOeu9yeAbEq8OIyMjxMXFQaFQQKlUQqFQ6PV/rlOhOt577z29suYAUF1dTUmAkpKS0NraSgQWjY2NUCqVEIvFyMjIQFRUFPLz8ymjHKVSiYcPH7LSy+DgYF7pFZdAhoaG6kxwJCYmQiqV4uLFiwTh4CNyKSkplGJAE0JCQgjzjdHRUQwMDPDKgYuLi6n+H1NTU+zZswc2NjbYvHkzEbwplUqcPXsWH3/8McRi8Wv3zHFhbW2N999/H8ePH9eYyVcqlTh+/Phrvc6PBYFAwBINTdd0U1MT+vv7fzbybL5h6VwcPHgQjo6OMDY2/sED9oGBAZ3y79raWmRkZGjt/aqtrcXLly+JYykpKTA1NcWyZcsIM5K6ujoMDAxo7DkHFq4Ve3t72Nvbs2Yl8/Pz6OvrY8mdrpFEEolEb9MpbeYnms4vLy8PExMTVLJHHRYWFpibm0NDQwNqamrQ2tqqFyG1trZmCZz6+6RSqSjzIFtbW70SWUvQjCUyt4S3Gn5+frC1tSUywcxMF4AeR+Dg4KDVut/IyAipqak4c+YMe2xwcBBnz55FZ2enxmpcTk4OIiIiiFEG7u7uRMWtq6uLsDFXqVS8dsV5eXmEbp5LALWZrTDuYwEBAbh48aLO5uSxsTH8y7/8i9bHGILF9Ar8GDAzM4OLiwtcXFzg7OwMFxcXWFtbY25uDr/97W+JxxYWFsLX1/e1LO3fFDQ2NvLOaWIgkUiwZs0ag9zGmD4UTcH7o0ePeKU9fM/DraL7+vrC0dERYrEYN27cYI/PzMygo6ODlSw6ODhg3759qKurQ2FhIZXFHhsbw+nTp+Hv74+1a9cS0suWlhZq/pMmd0oGMpkMvb29GBkZ0YsAGWKT7+zsTEm/6uvrKfJQW1tLzXoTiUTYvXs3K4vz9fXFypUrCWOK4eFh5OfnY+PGjT+YzFIdMpkM7u7uesuyfmxIpVKYmZkR8wW5/2e+l0qlLMG9cOECMfxZHQUFBcTomrcZZWVlWpM1wELFl5kJ+kODe40bGxvjww8/xOHDh9mkn1KpxNOnTykLfgZKpZKqyjk6OrKKm2XLluHx48dUdW7Hjh0GnauxsTE7n/bevXsQCARaiZFMJkNDQ4NebsqLcaAUCoXYvn07jh49qnFfHhkZwe9+9zudCVRgYV8NCwtDREQE3NzceD/vjo4OqpK7atWqn2VLww+JJTK3hLcazJgC9cxhfX09xsfHIZPJqMZ7rhkIH0JCQqg5dlxrcQaBgYHIy8vjXVi5ZI7rlPf8+XMqYxYVFUWYLgC6ZZZ88PHxwSeffIJr165p7S15W+Dl5QVfX1+WuGna6ExMTLBx40ZCtjM0NISnT5++1UPDgQUJozoh4sP09DSKi4sNcuurrq7WGrjX1tYiJSUF9vb2Wp/nxYsXVMCRlJQEYCEL7OLiQlRkGxoaiP4zgUCAsLAwVnr5+PFjipy0tLTg888/Z6WXxsbGlJmJs7Mz0aOmVCrx6tUrdHd3sxl3XcEtF3/4wx/g4+ODiIgIhISEaB3MLhAIEBwcTCSiGhoakJaWxn7f2dlJyMEZbN68mTIHSktLw4sXL4jB7BUVFfD19aUkr4uVWcpkMtTW1qKiooJ3+PEPAYFAAIlEAqlUCqlUqnPQ/D/8wz/AyspqUUGkQqGgnIXV0dHRgfr6+re+2jA9PU2RIGdnZ5iZmRF7V0dHB4qKijSSqcWCUU6oY8WKFXBwcEB0dDRRUS8vL9foZFtdXU2Zdqj3qEkkEixfvpz4W+vr6xdVgR0ZGcH58+f1vg8uXbrEJnC0YbHjBJgxPV9++aXG2EEbkZNIJAgJCUF4eDi8vb113k/cqpyVldVr99EvYYnMLeFngOjoaBQVFbHyJkY2xZUlmJqaIiIiQutzzc7OoqOjQ+c8LIlEgrVr1yIyMlIjOeSaFvT392N+fh7GxsYYGxujpCsWFhbIzs6mnodL5iYnJyGXy3UOuZZKpdi6dSs8PDwo05O3Dd3d3bC0tISnp6dO+UlUVBRKS0sJC/h79+4hMjJSaz/Xm47Hjx9TFagtW7agtraWcAx9/Pgx4uPjtdqzM5DL5SgqKiKOmZubQyaTEUOXHz58iE2bNml9Lm5VztbWlpC/BgcHE2Suvr6ed3CziYkJMjMzER0djevXr1OjERQKBR48eICqqiokJSVRtvkhISFobGwkjA5edz6eSqVCW1sb2tracO3aNQQFBSEyMhJ+fn68FeGQkBCCzL18+ZKdozk8PIyTJ09SxCszM5OXXAiFQmzduhVffPEFYQ507do1apSLIZU5lUqF9vZ2VFRUoL6+Xq/MvjocHBxYYiaVSgmixvdlYmJCfNbffPON1rEX9+/fx8aNGw06JwYvXrygzC24VZabN28iICDgrbZZv3PnDvU+5OTkwN7eHocOHSLIQXFxMTw9PRc1q5IPKpWKGkzOmHABC4lZdTInk8nw/PlzNgHEQKFQUPPcnJ2dqWpYUlISHj9+TPy99+7dw86dO/U+36qqKly/ft0gEy6mBeL999/Xqg4xVGapDgsLC+zZsweff/65Xo8XiUQIDg5GeHg4/Pz8dMYaDHp6eqgE+ooVK34WqpcfG0tkbglvPRgHRfXxA3wDX+Pj46mNV6lUsgtQW1sburu79QpovLy84OTkpLXKx8gQmABAqVSit7cXnp6euHz5MrXgc+WVDPj6AMbHx3nnVHGhUqkoa39dMDIygrGxMYyNjSEWi9n/M1+Tk5MEEeJDRkYGRCIRBAIBjIyMiC/uMe7309PThMxVHygUClRXV6O6uhp2dnaIiYlBdHQ0LzljHAm/+uor9tjs7Czu3LmDvLw8g173TcHExAR1T3h4eLAucE1NTex1KpfLcefOHZ3kC1iY38iV/ebl5aG7u5sYSl9VVYWUlBSNrnjDw8PUdcodcRESEoI7d+4Qf1Nvb6/GeU4ODg7Yv38/amtrUVhYSAVDY2NjvJVK9df4MSCXy1FbW4va2lpIpVJWtuTh4cH+vR4eHjA3NyfOub6+HrGxsTh+/DjlzhsfH6+1smxjY4O8vDycP3+ePTY7O0sZS+iz9g0PD6OiogKVlZUGz5hiIBAIkJuby8rhDcXQ0JDO+YUVFRXw9vbmHb6sC1wlhpubG5YvX070HY+OjqKkpATJyckGP/+bgIGBAWqkT3h4ODw9PQGAle+pXzMXLlzAxx9/rLPKpA9qa2upfSY1NZWtvNnZ2VEGaE+ePEFCQgJRPaqsrKSSWGlpadTezVTn1O9/xv1SV3VuZmZGowrGyMgIdnZ2Wqv5PT09uH37NrKysjQ+5nXIHPMa2mBkZAR/f3+Eh4cjKChoUbM6uXuMubm51pFMS9AfS2RuCT8LJCYmUhuPOoRCIRISEtg5ZAx5a29v1zjsWBsaGxvR2NgINzc3xMXFISwsjFr8xGIxHB0dCelYd3c3BgcHqexVdHS0xoymRCKhzDv0JXO3bt3S2iMVHx+PFStWsERNJBLpzKLdvHlTJ5kbHBzEhg0bDO6hUCgUlNsWH2xsbKgNmsHQ0BBu3bqFoqIiBAcHIzY2Fr6+vsS5eHh4IDIykuiJKS8vR3x8/FtpbMA3JJ6patnb2yMuLo7IcldWVmLZsmVa34uZmRlq8/by8kJgYCDc3d3x5MkTolr+4MEDbNiwgfe5uFJHExMTysba3t4ednZ2hFyqvr5e63BegUCA8PBwBAQE4N69e3jy5MkP5o4oFArh7OwMd3d3uLm5wdHRkZrF5e3tjd7eXo2Z+pmZGZSVlaGsrAzW1taIiIhAREQEHBwcEBQURKxpNTU1aG5uppwiAwICkJOTo/Nei4iIQGtrKyorKzU+RpPMcnZ2FnV1daioqNDL4c7MzAxSqZQyn2KgUqlw/vx5fPLJJ8S8T33BNX2RSqV477338Oc//5mqPrq5uemU+KpDqVQScy6BhapwaGgovLy80NHRwR5/+PAhoqOjDRq6/CaAMUpSr0SKRCJCRunu7o6srCxC9SGTyXDmzBm8//77eldz+CCXy6leOSZJp47ly5cTZG5kZASNjY0ICQkBsHA9c2c9urm5aTS8Yqpz6smSu3fvYteuXRrP9cWLF7hw4QJvYsPW1hZbtmxBU1MTQeY8PDwwNTVF3MslJSXw8vKi2iwYLFZmOT8/j+vXr+s0kfn1r3+tccadPhgYGKAScsuXL3+rK9d/SSx1HC7hZwFHR0d4eXlp/LlAIEBRURH+/d//Hf/5n/+J69evo6GhYVFETh09PT24fPky/u3f/g3Xrl2jeoe4/Ss1NTVUNUCTvFId+jpaqqO6uppyteSisbERFhYWMDc3h4mJiU4iNz8/j+fPnxPHfHx8qB6giooKajPWBzdu3CCCJQC81bUtW7Zg//79CA8P13jOSqUSdXV1OHbsGD777DM8ePCA2BDT09OpjaagoMBga+mfOnp6eniHxKvPUEpJSaGSEVyJExf379+nJFiMhb6ZmRnvvEe+Ae6zs7PUNRUbG0udD9NLpo76+nq9Pi8TExNkZWXh448/XvScPca9LTs7GwcPHsT/+B//Ax988AHWrl2LiIgIODo6Ur+zdu1a/PrXv8bWrVsRGBiotd9kdHQUDx48wJ/+9CccPnyYuscHBgYoIuXs7IytW7fq3ReWk5OjNQmkTnQZGeXFixfx+9//HpcvX9ZK5IyMjBAcHIxdu3bhF7/4hdZ5esBCcHrp0iWD7zeFQkER0qioKDg6OlKV9fn5eZw9e9YgmWx3dzdldMUMoOeu0/Pz84ta537q4DNKWrlyJSW9TkxMpKS9vb29Ot0vdaGsrIxaK9LT06m13svLi3LKVZcnP3/+nLqPtM1zMzExoSrcjY2NvO7JCoUCt2/fxjfffMNL5KKjo/Hxxx/Dzc2NSsC4urpi27Zt1N9z8eJFjXv7YipzQ0ND+POf/6yTyAGgEsyGgpvYk0qlejv4LkE3lsjcEn42SExM1PgzuVzOu7D/UJidnUVZWRkOHTqEL7/8Es+fP8fc3Bxv3xw3S79hwwad7oGGOFoyr3P58mXimFAopIwtJiYmqCy3NtTW1lISr3Xr1mH37t1UJra4uFgnmVRHZWUlVaGxtLTEp59+Sg1+Zswvtm7dil/+8pfIysrSmn0fHR1FUVER/vCHP+DUqVNobm6Gubk5Vq1aRTyOMTZ4W6DvkHhzc3OsXLmSONba2qrR0npkZASlpaXEsfDwcKJKtmLFCuKaUCqVhKsiA+ZeYSAQCDTey0zGncHw8LDeZiQzMzMoLy/XOCORCx8fH6xatQq7du3Cr3/9a/zjP/4jtm7dimXLlsHd3Z263gUCAUVA5+bmYGxsjPDwcOzevRu/+tWvkJubq3UIOLAweoPby8eFhYUFdu/erdVMhQsTExOt5E+pVGJkZAR3797FZ599hm+//RaVlZVayZCTkxOys7Pxy1/+Ejt37kRQUBCMjIyo809LS6MIXlNTE3XP60JjYyP1GTIzASMiIqj5gAMDAwaRC+797+joyK4/Li4u1PNXVVX9aKYvfw3wGSVZWlpS6wOwcM1v2LCBShCUlZVpHOGjCzKZjKqmeXh48Do+CgQCatRQZ2cnenp6IJfLeZ9H18B6ZuSIOrgmMENDQ/jqq68IKTkDiUSC7du3Y+PGjex6wDVfsbOzg4uLC5UcYPrnuBXy+fl5KnGmqzJXV1eHw4cP87pYqrtqM7h+/breayMXg4ODlMQ0KSlpUVLNJfBjSWa5hJ8NNMkT9AEzssDX1xcPHjzQujl7eXlheHiYkj0wYEwTCgsLqcocFzExMfD399d5foaQuenpaZw8eZIyJMjNzUVsbCxaW1uJfpOHDx8iNjZWL1kMN4D38/ODnZ0d7OzssG3bNpw6dYrItN+4cQOmpqY6+1Z6e3tx9epV4phQKMSOHTtgZmaGkJAQYuOsr69Heno6Oxdq+fLlWLZsGbq6uvDs2TPU1tbyGjKoVCo0NDSgoaEBlpaW7DgJ7jm/LcYGNTU11LWcnJzMm9VdtmwZSktLiQzwzZs34ePjQwX/RUVFRMBhZGSENWvWEI8xNzdHbGwsEaw/f/4cq1evZivNSqWSMj4JDg7W2HPj6uoKS0tLIhPe0NDAWxVjoFAoUFZWhrt371IBkSaIRCLExMToNEziwsTEhCCm3Mq/qakpEhISkJCQgJGREbbPU5McURsmJiZw/PhxordVvceVe0z9Z0FBQRqTFp999pnO12bMpKKjo3mluMPDw5QMOjAwEDExMfjiiy+IWYI3b96El5eX3vJmbvLJ09MTDg4O7Pdr165Fd3c3MVOsvLwcPj4+rBW9JqhUKup94ZKINWvWoLa2lvhsCwoKcPDgwbdiVAGfUVJmZqbG9dDExAQ7duzAl19+Say5V65cgbOzM/HZ6IPi4mIqYchU/PkQFhaGW7duEftxSUkJPDw8qD2ar1eO7+9Zvnw5YezU1NSE3t5euLi44Pnz5ygoKOBNcHh7e2Pz5s2EkoYZLq4OJjkQHx+PFy9eEPPouru7UVRUhMzMTPYYtyoHaK7MKRQK3Lp1ixrLBCwk8jZs2ICwsDAEBQXh3Llz7M+mp6eRn5+Pbdu28T6vNnCTdGKxWGtyfQmGY4nMLeFnA0Mck8zNzVny5uvry2a5WltbdWZZbW1tsX//fjQ3N6O8vJyyTmYwOzurdVinpaWl1oZn7mPVocl4gBkKzCV7cXFxbEY5JSWFIHNMdU7X4tvT00P1yqnP4woKCsL69eupiuClS5cglUo19gROTU3h9OnTFPnKy8tjKz3BwcEEmWMqMupBvEAggKenJzw9PZGdnY3q6mqUl5dTg2IZjI+P81aKxsbG3gpjg7m5Ody8eZM4ZmNjQ7m9MRCLxUhLS8OVK1fYYwMDA6iqqiL613p7e1FTU0P8bmJiIq+5ycqVK1FeXs4SP4VCgUePHrEuik1NTZSciptpVwcjtVQniPX19byflUqlQnNzM27cuEEFU7ogl8tx/vx5dHZ2Ijs7W+/+H24mWpuM28bGBsnJyVi9ejX6+/tRVVWFmpoa3sBNEzRd2z8GBAIBAgIC2P5ebestd000NzdnDaM2bdqEEydOsD9TKBQ4e/YsPvroI52Z/NHRUWpN5VbKjI2NsW3bNhw5coQIuC9fvgwXFxetMtP+/n5q7eRWg83MzJCSkkJUr3p6elBVVbUos5WfEiYmJnirWbpIsJOTE9atW0cY6szPz+PMmTP44IMP9K7QjI+PUyQkODhYayVbKBQiMTGRkLsyBkPq8Pb21in9ZZCYmIiSkhKCVObn58PCwoI3CcIks1asWEGRxcnJSUqNw5A5gUCA9evXo6+vjyDQjx49YvuPmedQh0gk4q3Ij4+P4+zZs9ScN2Chwrx9+3ZWwRIWFoba2lqiP7S2thahoaEGjdwYHR2l5jEmJCS8Vv/dEmgsySyX8LOCpk3D2NgYAQEByMrKwqeffopf/vKX2Lx5M6Kiolgip1QqqeDXwsICKSkpxLG6ujoolUoEBQXhnXfewT/90z8hOTlZ74ZkBvrIKxnoW5m7efMm1evg4eGBnJwc9ntvb2/KRe7hw4c6rcW5VTkrKyuqkTwmJoaaNaRSqXDmzBneDUapVOLcuXPU35OQkEAQCKYiow5tckipVIrExER88sknOHjwIGJiYgyqtN25c0en+9dPGbOzs/h//+//UZlpXcQkOjqaqnJxx35w7xETExOsXr2a9/ksLS0pI5Py8nI2OOFW5VxcXHRKELnBdX9/P0UIX758iePHj+P777/nJXJCoZCS2PKhrKwMX331lUazHS64AZY+FuUCgYCVXP3iF7/AO++8o9dr/aXg4OCAzMxM/PKXv8Tu3bsREhKiM3HGlVj6+/uzQW5AQADVlzQ0NIT8/Hyd58LtrTQxMeENPB0cHJCbm0scm5ubw9mzZ7Wuc9w1xcbGBk5OTtTjEhMTKen3rVu3XrsH+68JuVyOf/u3f6MqTnzjP/gQHR1NGZS8evUKV69e1bsv8s6dO8TnIxAI9Jp5GRcXp3N9V5/TqAsmJibsCAQG3d3dvHuOnZ0dPvjgA6xcuZL3feKuPyKRiNjLJBKJzv45PvMT7mu1trbi0KFDvPtsVFQUPvjgA6IVQSAQYN26dRTpun79OlE514Xi4mKi11YkEr31M1v/Glgic0v4WeEXv/gF7/G9e/finXfewfLly+Ho6Mi76FZXV1P68rS0NGqDmp2dJTLPVlZWSEtLwz/90z9h165dGp2yuBgbG9PbWY+PzHE3yOrqaiqraWFhgR07dlAbRWpqKvH9xMSEVjfQ6elpqhoTFxfH23uzYsUKajGXy+U4ceIEVUngc9tkKmvq4DO/4DrO8UEgEMDd3R0bNmzAr371K6xbt45qmNeEL7/8UmPV9acObnadgbW1tdbAysjIiCLjExMT7HXV3NxMWcKvXr1aqyPhqlWriOtELpfj0aNH6O/vp56LO46AD56enlQAwgRZU1NTuHbtGr744guNVfGwsDD83d/9HdLT06k+Sz6i29fXh8OHD+s14oNL5gwN7nt7eymy/NfE7t278emnn2LFihV6G8fMz89TnytXSp6enk4Y8AALpkncDL86lEolReYiIyM1BvHR0dFUpayvr0/r+8snseS7HoVCIaWqmJyc5O2hehMgk8nwf//v/6WOe3p6Up+TNuTk5FDkl1FI6MLLly8pY5vY2Fi9nEilUqlWC3wPDw9YWVmhv78f7e3tqKurw7Nnz1BcXIxbt27hypUrOHPmDL799lscOnQIf/zjH/UytomLi8NHH32kdU/hk1hyrylXV1fqepqZmcG5c+egUCi0mp+oVCrcu3cPx44do0iYUChEXl4eNm7cyHufmJubU7Mmp6am9EqsAAt7A/eejIuLe6vntf61sCSzXMLPChKJBOvXryekYsBCdeHdd9/VGCjyDT92cHBAVFQUjIyMKEvq6upqqkJgZGSEoKAgBAUFYWxsDM+ePdMYVAMLPQUlJSVIT09HUFCQ1iCWS+bm5uYwOzvLVvb6+vp4DU927NjBG4R5eXnBx8eHIFIPHz5EXFwcb0D77NkzokdKKBRS8iYGAoEAmZmZmJ6eJjZnmUyGY8eO4cCBA7C2tuZ127SwsMD27ds1DlJWl9f19/djZGRE4+wyLkxMTBAfH4/4+Hj09fWhvLwc1dXVWqsnJ06cwP/+3//7jeuFefToEe/xL774AmZmZqzkyNvbG7a2tsTf5+/vz3ttxMTEUA6XVlZWGmWbDKytrREVFUVs+mVlZVSQY25urlPOBfz3fabu0FZbWwuVSoX79+9rJFCurq7Izs5m52Qx56/er7Z69WpYWVnh6tWrRIVAJpPh5MmTWLFiBdLT0zUaiCyWzM3NzeHOnTu8fS7asGnTJsjlcszPz2Nubo74V9sxfY0Ozp07h7S0NCQmJurtmPnixQtirRAIBJTpBDPI/NChQ9QoAXd3d14pZEtLC1Wh0LQGMcjNzUVPTw/xGT99+hQ+Pj5UcmhwcJDqXeSu8eoICAiAv78/UYUsKSlBbGys3mvSTwWapL2dnZ04cuQIIiMjERYWppPQGxsbY8eOHTh8+DDVU+jq6qqVGN66dYtINBkbG1NJR21ISkrSaKbT1dWFP/7xj3o/ly5IJBJs3LiR15SFC039clwkJCTgxYsXREKhq6sLd+7cofYfRgU0PT2N8+fP8yaurK2tsWPHDp3Jy4iICNTV1RHJqpqaGoSFhen8+0pKSqjeaW5Fcwk/DJbI3BJ+doiNjYVMJiMysB0dHWhubtbYt/XkyROqDy0zM5MNYCIiIggy19TUBJlMplEmaWVlhbCwMBQXF2uc3QQsBBCnTp2Ch4cHMjIyiEBTHXwSzrGxMUgkEkxPT+PUqVO8hifaDFhSUlKIgH1ychLl5eVUcK5UKokZZMBCdUNb9o3pBZieniaqWxMTEzh27Bhyc3MNIp/Af1dk1PsYGhoaFiXpcHFxQV5eHrKyslBbW0udy5sMXVnwqakpoqfE0tKSJXY+Pj6wsrJCZmYmDh8+zP7O3Nwc/v3f/526xtLS0vTqJ1u1ahUqKirYYG1+fp6YDwUsmAHo25sWEhJCkDnGdIgPFhYWSE9PR2RkJBUUcZMk4+PjSE5OhouLC06fPk0FYo8ePUJPTw+2bt3Ke0/yuVnqQnt7O65cucIr5eSa83DR09NDyQl1oa6uDmfPntVL+jY3N4fCwkJUVFRg3bp1OiWwAN0v5+HhwbtO2traUoPMGSnkwYMHqYQO97p2dXXVaZoiFouxbds2ypzj0qVLcHZ2Jox2uFU5c3NzreunQCBAVlYW2traWIWFQqHAzZs3sWPHDq3n9VODtipUb28vO27A19cXkZGRCA4O1tjSYGtri40bN+L06dPsMYVCgTNnzuCjjz7i7aVqb2+nrht9q8FyuRzNzc1aq7o/NBwdHfVW4HDHEmjq2WScQfv6+gjZeHFxMbXXmpubo7u7G2fOnOHtnw8KCsKmTZv0auNg5JYdHR2EQdTVq1fh5eWlsfdtenqaigvexpmLPxUsySyX8LNEYmIiFajdunWLV9Y4PT1NzUjx9vYmpEGhoaFEcKFQKAgHKi5mZmZw8uRJrUROHV1dXTh69ChOnjzJa7UuEomojY2RafIZnsTHx+vMWjPVOXU8fPiQ6plobm7m7WnTBaFQiO3bt1MB4NDQEL777juDySdTkVGHPlJLbRCLxXByctLaoP+XDBJeF0qlkupt1IXx8XFUVlbi0qVL+OMf/4jPPvsMZWVlVCWG+3k5OzsjMjJSr9ewtbXV6gwpFAqJmUQqlQpTU1Po7+9Hc3Mznj17hnv37uHq1as4efKkXhIokUiE5ORk/N3f/R2ioqJ4q6ua5jc6Ojriww8/5K0UdnR04NChQ5Q8GDDMAEUmk+Hy5cv49ttveYmcs7MzPvzwQ61OnaWlpXpJ2Bg0Njbi3LlzBs92GxgYwFdffYVLly7prOrx9ctpAuOIqY6+vj6qAjw+Pk4F+7rWNwZOTk6UlEwmk7ESNgZ8g8J1VeQdHByotbC+vp732vipYm5uTucYDGDhnmxtbcWFCxfwu9/9DufOnUNzczPvHhcSEkIZGY2OjvLOFVSpVNTnbWZmpjVJp1Kp0NnZiatXr+L3v/89Tp8+/dp7gSHo7OzU2X/JQN/KHPDfYw24ay/3nqurq8PRo0cpIicQCJCRkYGdO3fq3Y8PLCS8+OSW3LE26njy5AkRKwgEAr36kJewOCxV5pbws4RIJEJaWhouXrzIHnv16hUqKyspbf2DBw+ooItrhSyVShEQEEBsGNXV1bwBBWPqoa9pgjoaGxvR1NSE6OhopKamEsGmlZUVIYcZGxvTaHjCXZg1ITU1lbc6p74Rc8mBi4sLMU9MG4yNjbF7924cPXpU6zwwdbdNbeBWZDo7OzE5ObnoQdDDw8M4ceKE1grKrVu3EBwcbNA8r78Wnj9/zjtXKDo6Gu3t7XrNWRwZGdHr2g0KCqKa7flIAnPM09NTIzFWKBS4evUqJiYmMDExgcnJSb37SfkQERGB9PR0KqHDhTZjIWYmm6enJwoLC4nzmZqawnfffYe0tDSsWrWKXSv0NUBpaGjAtWvXeOVtQqEQqampWL58OYRCoU4nwOvXr8Pe3h5eXl5aH9fS0oIzZ85Q76tEIiEy8mKxGKGhobyDhisqKtDQ0ID09HTExsZSQefQ0BB17eiqYOTk5KCrq4sIeh8/fgxfX1/2d9WrugDY2X36IjY2Fu3t7YTDoboF/NjYGOXUq01iqY6UlBRUVVURioGCggJ8/PHHektT/5ooLi7Wi5SoY35+HjU1NaipqYGpqSnCwsIQGRkJNzc39l7IyMhAT08PsUY0Njbi0aNHxMy62tpa6r1PTU3lXW+HhoZQVVWF6urqRe2vAoEAEokEUqmU/eL7vqOjQ+eg7YaGBpw+fRo7duzQqChQKpVUZU4bmQP+u39OG5HSNKpg27ZtOtcBTYiMjERtbS2RNKmqqkJoaCiVRJXJZJR5VURExBsnL36TsETmlvCzRWRkJEpKSojg9s6dOwgPD2ebgUdHR3mHH/Np+yMiIggy9+LFC4yPj1PZ/aKiIq0jCYAFhzBTU1MUFRVRTnwqlQrPnz9HdXU1kpKSsGrVKkgkElhZWRFSsocPH1KZOU2GJ5rg6ekJX19ftLW1sceKi4tZd7ChoSHqb0lISNC7h0wul6OzsxMWFhZayZy+5NPX1xdisZgIkhsbGxEXF6fX76tjcnISx44do7Ke3OdnjA30cVX7a0Imk/H2fX7yyScwMjKCSqXC6Ogo2tvb8eLFC7S3txtkg8/FvXv3cO/evdc9bRY/ZGZ9bGwMExMTBpM5vkx3YmIi3NzccObMGYLsqVQqFBUVoaurC5s2bYKpqanOnjnGXIBrm87A09MT69evJ0wfuM/p7OyM/v5+9nulUonTp0/jww8/1Difr729HadOnaKqKHFxcYiLi6MktTk5OYiJicH169ep5IBMJsO1a9fw/Plz5ObmEokdboWHGUmgDepSSPXzu3jxIj755BOYm5tTJgvh4eEGJVcY2Xdvby9lAe/t7U1VT6RSqd5BsVQqxZo1a3Dt2jX22MuXL1FeXq6XguGvidHRUY39tQxMTEygVCo1Do6fnp5GaWkpSktLYWNjg4iICERGRrKzRw8dOkQYc9y+fRvu7u7w8vKCQqGg1iw7Ozsi4cqYb1VVVS3KYVgikbDyThMTE5171/j4ODU0XSz+/9l776A40ixb/JTBe+8R3nsnQAgjIQPIgLyXpqV2szszGzM7E29fvH3v/WI3djfe7OzszHZPT7fUUssb5L0EEhIIgfDeO0kI4b2nzO8PInMq88ssg9Rup05EBZAUVUlWZn733HvuubpYt24dMV+utbUVFy5cwM6dOzkNRkZHR4nkiSoyBywqi7q6utS+J7q5uWHr1q1LTmoCi9fIhg0b8Kc//Ylx37p9+zZhOlVaWkrc27RVuW8XP/y0kBZafEugjDgUoejMB6g3/JiCj48PEUDU1tYyfq6vrydmlxkZGRG9cGNjYwgODsbf/M3f0MSODYlEgsLCQvzhD3/A8+fPieewA09VPWd8YI9eoKpzAAhNvL6+vsqM+Pz8PBoaGnDlyhX89re/xYULFxhkkQsFBQVqSVLFYjGR6V8KCZibm8PZs2eJ7K67uzt+/etfE9KwoqKiJWWCv0vk5+cTbmbr16+nqwMCgQAWFhaIiIjAli1b8Mtf/hI//elPkZaWBn9///9Wc4FevXqFr7/+GtnZ2URmXBFsMjc3N8c5WNzJyQkfffQRZ5WptbUVX331Fd68ecMrs5TL5aipqcHnn3/OSeR0dXWRnp6OQ4cOEe597Nf09fUlTAaovlmuSuCrV69w/vx5ovoSFhaGjIwMWFtbEwFuf38/XF1d8dFHH2HdunWc1cGenh4cO3YMt2/fpqtSykYSKIO9vT3h5jc9PY1r166hvb2dSHgtJXmjp6fHaa507do1wjjD19dXo7mlERERBGnNy8sjhl//0JCTk0OMAmBXE21sbPD3f//32LJlC7y9vZV+niMjI8jPz8dnn32Go0ePoqGhgfhc5XI5Ll++jMnJSZSVlRH31dWrV0Mul6O+vh7nz5/H7373O9y7d08lkXN1dcWGDRuwadMmxvaFhQUYGxtDX19f5bkol8tx48YN4nNLS0tDREQE9u7dS1wL7e3tvOoOriSBMudfClT/HF9yRhFxcXHYv3//OxE5CqampoST9OTkJIPczs/PE0ZN/v7+Gg+H10IzaCtzWvxVw9PTk7fyNDY2RpCx6OhoXqmAWCwmZH61tbW0ZKSvr48xNBVYJIc7duxAc3MzXr16RW+nMvxisRjLly9HWFgYnj9/jqKiIiIDyjZz4YOqnjM+8FXnQkJCCKkJ37y2ubk5tLS0oLGxEa2trRrLdvLz89HW1oYtW7aozFz6+fkxAuKOjg6lZjRsSCQSXLx4kVHdABYDyp07d0IsFmPdunWEscHDhw+xc+dOjf6v7wqDg4OE7MXX1xceHh68fyMQCGBjYwMbGxu4u7ujpqbmB2mtbmxsDBMTE5iYmDC+7+/v53Wvo9DQ0ICmpiZERUUhMTGRMBLgatanjIXYMDQ0xO7du/Hs2TPk5eUxZH9jY2M4fvw4YcgxPz+PsbEx3L59m7cvycvLCxs2bOCtInKZqqSmpqK/v5/xmr29vbhx4wa2bdtGB63d3d04e/YscU8JDg7Gxo0bIRAIoKOjA0tLS0bg2d/fD2dnZwiFQsTGxiIwMBAPHz4kxpMAi8YkjY2NhKES9b+pi+joaHR0dDBc9To7O4nXtLOz08guXxEODg5Yu3Ytw3p9ZmaGCN7VcSlUhFAoxLp163Dq1CnG6z59+lRt1cF3ja6uLqLvOzo6Gk5OTrh27Rq9rbu7G729vQgODkZwcDBtoFRbW4vu7m7e16eMU7gI1OTkJM6fP8+ZaGltbcWNGzfUcoK1srJCSEgIQkJCaOIzOzuLW7du0denVCpFV1eXWoYlxcXFROIxICCAHnGxbNky7Nu3D2fPnmXsX1dXF86ePYs9e/YwEr6a9MspQi6XE2N8lO1za2srfS+3sbGBra0trKysNEpIUAgLC0NDQwPj3lJVVYWAgAB4e3ujoqKCSBryzRnV4v1BS+a0+KtHamoqQ0Y0NzeH/Px84mapp6eHxMREpa/FJjh9fX3o7++HiYkJLly4wDlw1dXVlZAqsXuX9PT0kJKSgqioKOTn56O8vFwjkwJ1DE+UITk5mbGITU5O4uTJk0SVQtGkYmZmBs3NzWhsbER7e7vaZi986OnpwZdffol169YhIiKCN4vq7e0NkUhEv59MJkNra6tSgw0Kcrkc169fJwJECwsL7N27l16Ira2tERMTw8hANjU1obOzkzCN+SHg4cOHDDkP1xwsNsbGxlBXV8c5X1ETCIVCzsoN1+cnl8s5K18UTE1NkZaWBlNTU5iYmMDIyIi376i7u5sgc2ZmZsS1JZPJUFJSgqqqKiQkJCA2NpZOSIjFYhgZGTGktuPj47zSQIFAgJUrV8LZ2RlXrlxh/J1MJiN6f96+fYs//elPnFl7AwMDrFu3jtNlUxFcZE4oFGLr1q04duwYI2BsaGhAQUEBEhMT0dPTgzNnzhDvHRAQgMzMTMZxtbW1JcicIkxMTLB161ZERETg7t27hIX/9PQ0MZuKaySBMlDViC+//JLToY+CsnuDOoiOjkZnZydvRV9HR0ej/abg7u4Of39/hitmSUkJIiMjf3BVC5lMRvRkGRgYIDk5Gbq6unj8+DHjOiosLKTVJUZGRoiJiUFMTAyGh4dRW1uL2tpagrhQ4FvH2NcKBbaklg1DQ0MEBQUhNDQUDg4OxLmgr68PZ2dnRq9ee3u7SjLX29tLGCuZmJhgw4YNjPdwcXHB/v37cebMGca97NWrVzhz5gz27t1LJ4M0JXPz8/Oorq5GWVmZ2mROLpfTYzUUzz2hUAhLS0vY2toySJ6lpaVSkkfJLb/44gsGYb116xY+/vhjQpbr5eWl9uxWLZYOLZnT4q8eDg4OCAkJYZgvsKsYwKLmW5UEYtmyZTAxMWHMO6qurkZfXx8hBQoPD6fJDzvrzn4uBRMTE2RkZCA2NhaPHz9W6pipiJ6eHly+fBkmJiYwMzODqakp/TA2NlbZiO/i4gJPT09Gfxx7MfHy8oKenh6die/s7FTbpMLBwQFv375lbBOJRJDL5YzXWFhYwO3bt9HS0oJNmzZxjj/Q09ODh4cHo1G7qalJJZmTy+Wc/UpGRkbYt28fIVOhjA0Us5A/RGOD1tZWwukvNjaW0wJ7enoa9fX1qKurY1SK3wV2dnbYvXs3p1U/F27cuMFrLjA+Po7m5mZs2LBBZVaZq2fqpz/9KcrLy5Gfn0+Qxvn5eTx+/BilpaVITk5GWFgYhEIhzMzMGKRMHZMYd3d3fPzxx7hy5QpjZAkXuIhcYGAg1q9fr5Y0im/cgb6+Pnbv3o2jR48ygi6qavjixQuiuuHr64stW7YQ56+trS0jEOQLJN3d3fHJJ5+gqKgI+fn5vH1UwOL19p//+Z8Qi8UQi8UQiURqfW9oaKiUzA0PD+PRo0eQyWT0QyqVMn5mb2P/Xpkj58LCAkZHRzmHO6vCmjVr0NLSQiea5HI5Hjx4gL179/6gZlVyGSWlpKTQUuu4uDgG2WtpaUF/fz/hrGppaYmkpCQ6eVBbW4u6ujq15xiqC7FYDD8/PwQHB8PT01PlvcHT05Mgc8qwsLCAq1evEgnJrKwsTvm5k5MTDhw4gNOnTzOqut3d3Th9+jT27dsHAwMDtccSDAwMoLS0FNXV1WqNM1EHMpmMc3aiUCiElZUVbG1tYW1tTZM9RZJnZmaGtWvXMub1TkxM4N///d+J99FW5b4baMmcFlpgcaGqr6/nrR6ZmpqqHH4MLN4Ig4KCGMOuuRrInZ2dkZ6eTi/gbO371NQUFhYWOCWLwGIGb/v27eju7kZubq7KgJGStHBBIBDAxMQEpqamMDMz4yV8SUlJShe9trY2/O53v1OrYigQCODm5oaAgAD4+fmhpaWFsTAIBAL8/Oc/x+TkJK5evUpkMFtaWvDFF19g06ZNnLMB/fz8GASmtbVV6fEEFg1j2GY3urq62Lt3L+ciq6+vj5SUlB+0sQEl/1SEkZERY4Gdn59HU1MT6urq0N7erhYBt7S0RFBQEIKDg/H06VNOeR2Ft2/f4tixY9i9e7fKuV8Amdhgo6qqCqOjo9ixY4fSPj4uMieVShEXF4ewsDA8e/YML168IK75iYkJ3Lp1C8XFxUhNTYWZmRnj2lGHzAGLiZedO3ciOztbbSt6Y2NjZGRkaCTjUza7jjKZOHfuHOO6fPLkCfE6Xl5e2LZtG2cgzA7SlVUFRCIREhISEBwcjAcPHhDz2RQxNzen9uB0dcGViHvf+Pzzz6Gvrw8nJyc4OTnB2dkZTk5OKpN9FhYWiIuLY8iV29vblc44/a7BZZRka2vL6EMMDw/H06dPGUTl+fPnyMzM5HxNgUBAHytq9l5tbS0aGxuVEn5VcHNzQ0hICAICAjQyvPHy8mJcA4ODgxgbG+O99+Tm5hIGXXFxcUpVGA4ODjh48CBOnTrFSPj19PTg1KlT2L9/v9LKnEwmQ3NzM0pLS7/TURYymQwDAwPE/ysUCmFtbc2Qa3IpHRTh5ubGOxtXi/cLLZnTQgsskqno6GiicZeCsbEx6uvroaury3jo6enR34vFYggEAtolkw/GxsaEXTHXIjI2NkaYHbDh7OyM3bt349/+7d/U/E9JyOVyjI+PY3x8nLfHgSJ86rwWH4RCITw8PGgrY8XAp6KigvFcLy8vmkh+9NFHyMnJIcxWpqamcP78eURFRWHt2rUMoubr64vbt28zhlB3dHQQFsqK788OYIRCIXbu3KlUIhIREYGysjJOR9QfgmFIaWkpkXldvXo1RCIRmpubUVtbi+bmZrV6GI2NjREUFES7uVKJCHYw5uHhgZ6eHkbla3x8HCdOnMDWrVtVBq3qGAB0dXXh+PHj2LNnD28PK1dwNz8/T1uMr1mzBjExMcjLy0N1dTXx3IGBAZw/f57YziXTHBkZwdDQEAYHBzE0NEQ/NHEDDQ8Px9q1azWa/wSoHkTu5eWF1NRUpX21Hh4eSi3U2bLSqakpTE1NcVbGKZiZmWHHjh2orKzEzZs3Vf0bPzrMzs6ivb2dkeCytLSkiZ2zszPs7OwIcrxy5UpUVVUxzo0HDx6oVVH6LvD06VOi52ndunWMaq2uri6io6ORn59Pb6utrUVKSorKZIxQKISXlxe8vLyQkZFB34fa2trUbh3w9/fHunXrVL4XHxwcHGBgYMAgo+3t7ZytCG1tbYRc297entcITRF2dnY4dOgQTp06xfi8e3t7cezYMeJeYmVlRRuMlZeXMxQ+XDA0NCQ+Kz6YmZnB2toa/f39Kl+XCzKZDP39/WrLOwFtVe67xI+ezE1PT+Pzzz9HdnY22traMD8/DxcXF2RkZODnP//5O2cFnjx5gpSUFLWe+3/+z//B//2//1fpcyQSCb7++mucPXsWjY2NmJychJOTE1JTU/Hzn/8cAQEB77S/WiwdiYmJvGSup6eHMC/hAkXs+EAZnrCJkZ6eHjHPSR0yNzk5ibNnz6rcr3cFRfg0hUgkgpeXFwICAuDj48MZqPb19RFOZIqLqq6uLjIyMuDt7Y2bN28SEp2ysjJ0dnZiy5YttPEB5RCqWLFsbGzkJHPNzc24ffs2sT0rK0upQQiw+HmuX78eJ0+epLfNzMzgyZMnSEtLU/q33zampqY4KzCvXr3Cw4cPlfamUdDX14e/vz+Cg4OxbNkyTvkoF3lIS0vDuXPnGE508/PzuHDhAtatW6e0ys0mwdbW1li9ejWuXr3KII6Dg4M4duwYdu3aRQyeB0iSA5CjAMzMzJCZmYnY2Fjk5uaqlFsBi0GriYkJTdiGh4ffaeYdhejoaI2JHECSVq5KV1xcHGpqanh7H3ft2qW0am1hYQGxWMwg/f39/Sr7Q+fn54kkzH9nDA8PY3h4mJbsi8Vieu6ms7MznJ2dYWpqitTUVMaM0+HhYbx48YJwIf2uMTg4SBAXPz8/zvtgTEwMnj9/Tp8TMpkMxcXFhNuhMujq6tLGKc3Nzbhw4YJaf9fY2IiRkRFEREQgODhY4+uGSiwqSuq5yNzU1BSx7ovFYmzZsoU38cGGjY0NDh06hJMnTzJIFJf78ZMnT9Da2qr0fiIQCODj44Po6GgsLCzg4sWLjH07cOAALl++TKzXY2NjCAsLw969ezE3N4eBgQH09/fTVbiBgYElkTxl+CH2j/93xY+azLW3t9OZHUU0NTWhqakJx44dw7lz55Cenv497SETQ0NDyMjIIGQgVHbvm2++wZ/+9Cd88MEH39Me/nXjfVRS5ufnlWra09LSOANPYLE6qOigyNc3R2F4eBhnzpxRaYnv7u4OPz8/uvo2Pj6OsbExjI+Pv5cglA0dHR14e3vT7laqhhqzq3LGxsac1RsfHx98+umnuHnzJlpaWhi/Gxoawtdff42kpCQkJCRAKBTC39+fQeaoXhXF7PerV69w+fJlIiO8fv16tYcOU3JRxf7F0tJSREVFLdnYYHJyEsPDw3ByclpStl4ikSA3N5czsFc17FYsFsPX1xdBQUHw8vJSGbSwK3O6urqwtrbGkSNHcPHiRUbvnVwux/379zE0NMQYi6AIdmVuZmYGfn5+OHToEM6fP8/IcE9PT+PkyZPIzMwkPi+BQEDMBOST9Nnb22Pfvn1ob29Hbm4u4WTKhqrZW0vB119/TVcLNemfUlWZA0C7UvKhrKwMsbGxvO8rFAphY2PD6GtVRebkcjmuXbvGK+8GgN27d9MkUSqVQiKRqPyeLYVWhtDQUIhEIohEIgiFQvqh+LOy3/X29hKfNdsQRxkkEglev37N6M8yNjZmzN6jkJOTA19fX7UdDdmYnZ1Fb28vXFxclnTPWFhYwM2bNwmjJPb4HgpGRkYIDw9nfB4VFRVITEzUeC2tr69nOGSqg97eXty9exc5OTkIDAxEZGQkYyi5Knh6ehKuxzKZjL4nyeVy3Lp1i6iur1mzRuP7upWVFV2hUyZLZMeyijA0NKT77Km2jAcPHjCe4+zsDBcXF3z44Ye4dOkS47wDFquufX19yMrKgouLCxGLzMzM0MROkegtdd7oD6kP9L87frRkbnJyEhs2bKBP/g8//BC7du2CgYEB8vLy8K//+q8YGxvD9u3bUVRUhJCQkHd+z+PHjyvthWH3FShCKpViy5YtNJHbsmULPvzwQ1haWuLFixf453/+Z/T39+Ojjz6Ck5OTRtktLd4fnJycljR4VF28efMGoaGhnIEVm8wpu+m/ffsWZ8+eJYIKIyMj6OjoMIjg+Pg45yBvuVyOqakpBsl7H4Tv8OHDKgcBU1hYWGAYzwCgjSe4YGRkhF27dqGiogIPHjxgEAmZTIa8vDy0tbUhKysLfn5+jCb9mZkZvHz5ks4y9/f3c87XSkhIUKs/UhFr1qxhkDm5XI4//elPAKBx/xw7WHV0dOQM/jR5DVWgnAWDg4Ph6+urUf8JmzxQ57ahoSH279+PW7duEZ9xaWkpRkZGsG3bNuK9uMicXC6Ho6Mjjhw5gnPnzjGkPlKpFFeuXMHIyAgSEhIY57menp5aZI4CNaqktrZW4+CSDwKBAMbGxiqz3lKpFPfv30dXVxc2bdqkdkCsDpkbHh5W6kj68OFD9Pb2YsOGDbykz9bWlkHmVDmc5ubmqpzxOD8/r1GvWGNjo0bn9tTUFLZs2bLkRJ25uTmDzOnp6eHv//7vaUl6d3c33rx5g56eHrXHrUxOTvIG7Z999hlMTU155eB8YB8TT09PXjMNdV8D4DdKohAXF4eysjI6GTY/P4/S0lKVrs8U5HI5nj17RkjcNcHCwgKqqqpQVVUFOzs7REREICQkRGW1ju1IOjs7i56eHnp8T0VFBfE5eXt7L7kf2tLSEtu2bcPXX3+t0d85OzsjOjoaAQEBRGKN3Svv5uYGYDFhcODAAdy5c4dI3jU1NeHrr7/Grl27CIm6gYEBXF1dCUXbzMwMUcXr7+9XmtT4vpUpf2340ZK5f//3f6cXiv/3//4ffv3rX9O/i4uLQ0pKChITEzE9PY2/+7u/e6ebBQV3d3e1s/VsnD59mtaX//SnP8Xnn39O/y4mJgZpaWmIjIzE+Pg4fvazn6GhoUHtMr4W7w/btm3DH/7wB87fOTg40JU36qHJeABgsSrS09ODHTt2EBlYtv6fj8x1dnbiwoULRNBmYWGBffv2YWxsjDHPaGhoCJ2dnYRUhgoyjY2NeecyUYSvsLCQV4LKxtGjR5GUlIT4+HiVGeLGxkZC7qdqhIJAIEBkZCTc3Nxw9epVIvP/+vVr/PnPf0ZaWhrhktnU1AQPDw+MjY3h7NmzxHuHhYWp1QsxPT2Nt2/f4u3bt+jt7SWcOBWhKbFiQ5l5zbvC1dUVQUFBCAgIUNr/pAxclTkKYrEYmZmZsLS0JCSfbW1tdN+b4rnPDrxlMhnm5uagr68PMzMzfPDBB7h8+TIxl+3x48cYHh5mOF3q6ekxSJQ6Zhs9PT2cg7tVwcDAANbW1rCysqIf1tbWsLCwwLNnz/D06VO1XqepqQk9PT3YunWrWm0CqsicXC7HzZs3VRpN1NTUYHBwEDt37uScr8dOVrINEhRRXl5OVLT09PRgYGDASDS1traqvaZ2d3fj6tWraj2XQltbGy3FXUqVnG2OQyWZTE1NERAQQLdFSKVS9Pf30+Suu7ub14pfFcbHx9/5nsHu5VsqVBFtCwsLBAYGMgyQSkpKEBcXp7QSDCwes9u3b3MqBSiipfg/2NjYICgoCBUVFbxrY19fH+7du4ecnBwEBQUhIiICzs7OnBUiU1NT2NjYMM7jtrY2ODs7Y2hoiKh6GRoaYtOmTWpXm+RyOYaGhvDq1Sv6oUpFQ0EsFiMoKAgxMTG8Pduzs7PEurNs2TLGa2zatAn29vZ48OABI1bp7+/H0aNHsX37drWkkAYGBli2bBnj9YHFdfDPf/4zZ6IqJiZG5etq8f7wo2QLCwsLdMDt7++PX/3qV8Rz4uLicPjwYXz55ZfIy8tDeXk5w43pu8Zvf/tbAIs3P+p7RXh5eeEf/uEf8A//8A/0UMytW7d+17v5Vw9zc3P8r//1v/Db3/6WEfiZmpriJz/5CWOBksvlkEgkDHLX09Ojstm/v78fX331FTZt2oTAwEB6uzrjCSg5CjvIsLe3x969e2FsbAwLCwtikSotLVXZ/8UFgUCAhoYGtYkcsLhIP378GHV1ddi4caPSQeVsiaWHhwevoQUbVlZW+OCDD5Cfn4+CggLGYjU/P8/Z49jU1ITk5GScOXOG6Cnw8fGhByVTkMvlmJiYIIjbUvoHf0hwdXXF5s2bNc7ec4GvMkdBIBAgKSkJlpaWuHHjBuPc7e/vp50uqYQClwHK9PQ0nWnX09PD7t27ce/ePaIfi+10ySY6ysjcq1evkJ+fr3YQvGLFCpqwWVlZ8Rq3jIyMoLCwUK3XpDA+Po5vvvkGKSkpRLWRDa6eOblcTv9NSUkJkcGPjIyEsbExQTB7enrw1VdfYceOHQSR5HK0VHwfCu3t7QyHV+AvZkIDAwOMeXNUf5CqUR4jIyOcVXQvLy/eYesUhoeHcezYMbparwnY91m+5JRIJIKDgwMcHBzoys3MzAxN7Kiv6vSp/pBw4sQJeHp6Ij4+Hu7u7pznYXx8PIPMTU1Nobq6mjFzlI2ZmRlcunQJXV1dxO8iIyORnp5OzyelMDg4iKioKCQkJKCjowPl5eVobm7mTKhKJBK6WmdjY4PIyEiEhIQQiSJPT0/GOtne3o6VK1cS/bkAsHnzZqWjQqRSKXp7e/Hy5Uu8fv0ar169UtucRBFr1qxBeHi4ymoye3SMSCQi1lqBQIDly5fDxsYG2dnZjPNvZmYGp0+fRlpaGqKiopYkiezt7SWInKGhIX7xi19o/FpavBt+lGTuyZMndKB78OBB3oXg0KFD+PLLLwEAV69e/d7IXGtrKy3B2rlzJ++if+jQIfzDP/wDgMX91ZK57wcikQhbt27FuXPn6G3j4+MoKSnBihUr6G1UH4qOjg6MjIwgkUgYTe0U3Nzc0NPTwwh65+fncfnyZbx+/Rpr1qyBSCQixhOwyVxpaSnu3r3L+fq7du2igzqBQIDo6GjGc5ubm5VaL3NBLpcjPz+f00SDDS6L4v7+fnz99deIiYnBqlWriKBzcHCQCDI1HWwuEomQkpICLy8vXLt2TWXmk5qFww4AnJ2dsXXrVoyOjhLEbSkL8g8dr169wvHjxxESEoKwsDClEnFVUFaZU0RwcDDMzMxw8eJFxjGdnJzEiRMnsGXLFvj7+0NHR4cx9B0Aw3UOWCQH6enpsLS0JEYvKDpdss85rqrVy5cv8fTpU87Akg+UaZU6ePjwoUoJ3urVq1FUVMQ4LnK5HI8fP0ZXVxeysrJ4A0n28ZbL5ZBKpRCLxfTMNUWYm5tj7dq10NXVhb29Pa5du8Y4LlNTUzh58iTS09MZayb7HJmfn8fY2BjjvtXf34/s7Gzi+tqwYQPc3d1hYWHBIHMU4eHrI6aec/bsWeI6DA8Px7p16wgn37Vr16KwsJAhAZufn8fFixeRlJSEpKQktQNXtsRck/mRBgYGtGsj8JdKzc2bN4leph8yqCqfvb094uPjERAQwCC1Dg4OxAzS58+fIyIigvN4jYyM4Ny5c4TLLrD42VG9m97e3tDR0aHvL3K5HI2NjYiMjKSP68TEBKqqqlBRUcHbYz4wMID79+8jNzcXAQEBiIyMhIuLCy0tV0xUvnnzBvfv3yeUEFFRUUSVcm5uDt3d3XTVrbu7W22prTIIBAK1ZMHs+5WLiwuvmsvDwwMffvghLly4wCCvcrkcd+/eRW9vL9LT0zXqtZRIJEQ8oq+vj5/+9Kcq++S1eP/4UZK5goIC+vukpCTe50VFRdHNyopzXb5rqLu/9vb28PHxQUtLy/e6v1osZnzd3d0Z810KCgoQHh7OS8ZzcnII44SIiAhs3LgRg4ODyM7OJmx9X7x4gTdv3mDbtm0E0ZqYmIBUKoVQKMSTJ08YNtAUAgICkJWVRdzEQ0JCkJubSwdpcrkcZWVlWL16tVr/P2VUwXY244KPjw+2bt2KvLw8vHjxggjkSkpK0NTUhPT0dEYvCLsqZ2hoqHGvCAUXFxd8/PHHuH//vkqDD65M7tzcHH73u9+9t4GsilAniTQ1NaWyv8jPz08tKWR7e7tK8xzqPYuKilBUVARHR0eEhYVpPFJBLpcTZE6ZvMrV1RWHDx/GuXPnGDI0iUSCS5cuITU1FfHx8TAwMCCMTtgQCASIi4uDhYUFr9MlO2inKnNyuRwdHR3Iz89XOhzdwMAAcXFxsLKyQnZ2Nr2dGr2gqi+nra2N+FxjYmLQ0tLC+IyMjIzwySef4OrVq0SQ1tHRgT//+c/Iysoi+nwAftdOkUjEKa/ctGkT/Td+fn44fPgwLl68yBhgLJPJcPv2bbx9+xZpaWkQiUQwMTEhHHf7+/tpMjc5OYlz584R1c8VK1YgPDwcwCKRZKsGWlpaeMmcRCLBxYsXCcmih4cHMjIyIBKJYGVlxfi9jo4OPvroI1y8eJEIyikDiMzMTLX6QtWtzKmDt2/f4s6dOyol056enkRijw25XE7cP7mgbgK7vLxc5XN6e3tx9epVPHr0CLGxsQgPD6eP4YoVKxhkbmRkBI2NjQzlCbAogb9w4QJxPevo6GDLli2Myqmuri58fHwYkueGhgbG/2RiYoKVK1fS1bqKigo0NTVx9nlLJBLU1NSgpqYG1tbWiIyMpPvQKBJGrZOKsLa2xtq1azExMUETt9evX6O3t1fjNgsAhCssGzk5ObCxsaGTAHxg3yfYEkg2LC0tcfjwYVy9epUwEKuoqMDg4CB27Nihttz++fPnxHW5evXqJcv1tXg3/CjJnOIQUmWyCbFYDE9PT9TU1CgdXKou/uf//J949eoV+vv7YWRkBDc3NyQnJ+PTTz9Vqi1Xd3+p37e0tOD169cq5/gogm8+GAVlPT1akBAIBEhNTcXRo0fpbXNzcygoKOA0p2lubiaIj42NDdavXw8AtLvfnTt3iJlW3d3d+PLLL4mGYblcjrGxMRQWFnIu3FFRUUhLS+PMfurp6SE0NJRwGktKSlLZiymVSnHz5k3CtAJYHK4uk8kY8iyRSARdXV2sW7cOQUFBuHXrFmGOMD4+jgsXLiAgIADr16+HoaEhcRxCQ0PfqU9UT08Pmzdvhre3NyPwVgfK+n/4IBaLYWdnBwcHB9jb28PBwQHV1dWM8yA0NBQbNmxQ+jpSqZQx2oAPQqFQ5WsB3BXc4OBgNDY28gYRVF/egwcP4Ofnh7CwMHh4eKisREilUiKgUZWVpYIKrmHaubm5GB4ehp6eHoPMsStzilDmdMnG3NwcWlpakJ+fr9ToyMjICPHx8YiKioKuri4WFhYY1UK5XI7Ozk74+/vzvgZlaKIIQ0NDpKSkYHJykkHmenp6EB4ejv3796OgoABPnz5lHNepqSmcOXMGK1asQEpKCoNUcB3v+fl51NXVEZXvqKgookfG1tYWR44cwZUrVwiJaXl5OQYGBrB9+3YYGxvD1taWQX77+vrg4+ODhYUFXLhwgajOBwQEEAkkHx8fxvXW2trKmWSSy+W4ceMG8T/Y2tpix44d9DFwdHRkBJVv375FVFQUDh06hNu3bxP3MUUDCFUy4/dB5mZmZvDo0SO1CJOlpSX27dun9DlyuZxR3VSGkJAQlX2X8/PzqKysZBAgBwcHjI2NcV5DY2NjePDgAZ4+fYrIyEgsX74cbm5uRH9yYWEhAgIC6IRKXV0drl+/ThxTY2NjhsxaEQEBAQwy19nZyRkXUVU2T09PTE5O0tU6PqXG4OAgHjx4gNzcXGJ/2BAKhfjiiy/U7ndjw9jYGMuWLYOLiwuWLVuGgYEBpb2fcrkcly9fxpEjR3hHE1HOpYqgzE+UQU9PD7t27UJeXh6jyAAsqjWOHj2KXbt2wd7eXunrjIyMEH/v5OT0vbYy/bXjR0nmKImCkZGRygyWi4sLampqMDAwgLm5OY1c2thQHAQ9OjpKa7L/+Mc/4h//8R/xf/7P/+GUbyhKKpT1D1H7Cyxe0N3d3WpXKpTJVLRYGhwdHREUFMToBygtLcXy5csZ5934+DjnLJqtW7cyqhQ6OjrYvHkzXF1dcffuXUJGxnWDP3bsGGcgm5ycjMTERKVyoejoaAaZm56eRn19PUJDQ3n/ZmFhAZcvXyYydwCQnp6O6OhozuHaFJycnPDhhx+iuLgYT548IchDQ0MD2tvb4eTkRAQKXBJLuVyOmZkZTE9PY3p6mvE93zZlgf9SoaenRxM2irxZW1sTZIedNFIVKADA/fv3CdmVu7s7DA0Niax0c3OzynsCO+gIDAzEli1bMDs7i/r6elRVVfEmf6RSKerr61FfXw8TExNahskXVHBVMlUZHwCLFa+9e/fizp07qKysZPyOK3GhSurK53TJBlWJ5IOJiQni4+MRGRlJXLuurq4M8tnR0aGUzBUXFxOZ69TUVOjr68PBwYHhfkoFwUKhEElJSVi2bBmuXr1K9KMUFhbi5cuX2Lp1K30P4jrefX19nPJKPpt5AwMD7NmzB48ePSKMS6ggb+fOnQSZGxgYgFwux/Xr1wly7OTkhMzMTOIe5ePjw+gh7Ovr45SA5+XlMe69wOLnw5bP2tvbo7a2lv6ZOpY6OjrIzMyEvb09cnJyGOR4YGAAR48exbZt2zirnRTeRWYpl8tRVVWF3NxctaXaquIDAHj06BFhkCISiZCVlYU7d+4w7n8PHz7E4cOHla4TXV1djP9TKBTS7SvV1dUoKipiVG0pzM7O0sZYwcHB8PHxYZC5t2/foqurC25ubryOlba2toQBkiL4pJbK+vGMjY2RkJCAFStWoLOzExUVFWhsbOSs1qlzf9ZkSDawmLilHCFdXV1hbm7OOP7sBI+Liws8PT0Z7Qxzc3O4cOECDh8+zKmUePXqFeN85uqX44NAIMCqVatga2uLGzduMNbosbExHD9+HJs3byaqqhSoZILi3wkEAmRkZGhHEXyP+FGSOWqBU9aMSkExgzM5ObkkMufg4IAtW7YgISEBHh4eEIvFePXqFW7duoXTp09jYWEB/9//9/9hfn4e//Iv/8K7v+rsM3t/tfh+sWrVKjQ0NNALAWXusWXLFgCLi/3Vq1cJArF27VpOe36BQICIiAg4ODggOztbZbaP/brUTVOdDJiNjQ0hFS0tLeUlc7Ozszh//jwhOxMKhcjMzERwcDAA1dlqkUiEFStWwN/fH3fu3EFHRwfj93Nzc8Q2YDFQZROz2dnZJUlZ3gWGhoZwdHSkyZu9vT0sLCzUWqjYx0JVsFBZWUnIeszMzLBt2zZaCqh4Dty5cwdubm5K72NsiSUV9Ovr6yMyMhKRkZEYHBxEVVUVqquree8zExMTKCwsRGFhIZydnREWFobAwECGtJDLIVHdfgmRSISNGzfCysoKubm5Sp+riqBTgUVaWhpOnTql8TljamqKhIQEhIeHK+07YZM5PoyPjxPmIk5OTggLCwMAogrR29vLmIHo5uaGTz75BDdu3CASK1Qlf9OmTfD39+ecp5ednU0Er4rySi4IhUKsWbMG9vb2uHnzJiNYGx8fx4kTJwhnPYo0KhJTYPGc4xtE7uzsTMg1W1tbGQF6RUUFkfnX1dXlDPy59ok6lpQU187ODpcvX2acR7Ozszh79ixSU1MRFxfHeX0vtTJHzUDj642zsrJCeno67t27x+gd43MVplBQUECY6QiFQmzfvh2+vr6YmJhguDC+efMG9fX1Sh1D2dVYFxcX+v4SFRWFiIgINDc34/nz55xJIKlUyittz8/PR01NDefvvby8OEeTKEJHR4dTaqmMzFEQCATw8PCAh4cHpqam6GodFzFdKoRCIRwdHWni5uLiwtuGASwSQ3alOTo6GkFBQejv72dcR0NDQ7hy5Qr27NlDJBHYEktnZ2eNVS1BQUGwsrLChQsXGIZeVEK3v78fycnJxHXR1NSE1tZW4n/gc93U4rvBj5LMUYuAOkGD4o1iKRn76OhovHz5kliUIiIikJmZiY8//hhr167F2NgY/u3f/g07duygF2z2/qqzz0vdX1UN1W/fvtVaxS4BFhYWiI6OZgx6r62tRVxcHBwcHFBQUEDcnP38/FQuNg4ODvjoo49w/fp1pYNCFUEZsyirBrARHR3NCEDfvHmDN2/eEHPLJicncebMGUIeKRaLsXPnToZ+X91sNSUZqqmpwYMHD1Sez6p63b5NuLi4ICEhAfb29jAxMVlyhlETMvfmzRvC9Y863lRAsG7dOoapzsTEBHJzc5GRkcH7uuwEAZc7qLW1NVJTU7Fq1Sq0t7ejqqoKzc3NvPtLzdS6f/8+/P39ERYWBnd39yVX5igIBAKsWLECFhYWuHbtGq8MND8/H2KxGFNTUzThn5qaokm/Ktt9Ppibm2PlypX0cGll8PT0ZFS7hoeHMTo6yqkOycnJIfYpLS2NPq/YgQ9lba+43dDQELt27UJxcTFyc3MZ193s7CwuXbqE6Oho2sxE8bNgX6Nc8ko+BAcHw9raGhcvXmTIJqkB2Iro7+8nKhd6enrYs2cPb+JSKBTC29ubUU1raWmh75nt7e24ffs2428EAgG2bdvGKf9iH0uZTEYcS0UDCMX9lcvldK/zxo0biXNXUzI3OzuLvLw8lJaWciYUxGIxEhMTERcXB4lEQpiAKJsnWVxczFndysrKoqv1lBpDkbDk5ubCz8+PN9hnkzm267FQKIS/vz/8/f3x6tUrPH/+XO01i89USFmLABtsqWVXV5dGLSjAYpJ8xYoViI+Px8uXL1FeXo7Gxka1KnOK0NPTo4dtu7q6wsnJSaP7HbuiamRkRCdkMjMzMTw8zJBPtre3Iycnh2jtYMccqvrl+ODg4MA7YDw/Px/9/f2M/tL5+XmismhsbIyUlJQlvb8W7w/fKpmTSCQaneh8OHHiBA4dOkT/TGWG1TErUGzGXsrgUFU3jJiYGHz++efYt28f5HI5Pv/8c0afleL+Aov7rKxpfqn7q26JXQvNkZiYiKqqKsZnk5ubi6SkJCL7bmpqqnIWjVQqxejoKIaHh+Hm5qb2whgXF6eWLl4Rvr6+MDU1ZWTeSktLGUHD6OgoTp8+TWQs9fX1sWfPHkLCq0mAIxAIEBoaCi8vLzx8+JCzD+/bhKpmcwqvX79GeXk51q5d+05SEXXJ3OTkJC5evEj8fuPGjYwgNCQkBDU1NYwqUFlZGYKDgzl7YeRyuVpkjgIVWHt7e2N6ehp1dXWoqqri7bGVSCSora1FbW0tzMzMiNldIpGIEaDJ5XLMz88zqq2KJEzxoepzeh+zQhVhZ2eHn/zkJ2qrNezt7WFgYMBISnR0dBDy4JcvXxLywIiICMY1Z2BgAEtLS8Y119PTQxATqrK0bNkyXL58mfhsS0tL8fr1a6UqDmXySj5QQV52djYROCqDQCDA9u3bVc50Y5O5zs5OLCwsYGhoCJcuXSKIUEZGBry9vTlfS19fHxYWFoxj8/btW+JYWlhY4PDhw7h+/Tohh66traVn7ClW/tRNXMnlctTU1CAnJ4d3kLKfnx/Wr19Pvz6XAoKvV6miooKYewYsVlsVq24ikQipqam4dOkSvW1sbAwvXrxgODFTGB0dJaTAyow3qArU4OAgioqKUF1drTEhUnSsVAdLkVryQSAQwM3NDW5ubpiensYf/vAHlXFkUFAQTd5sbW01ktoqYm5ujlj/IiIiaJKto6ODXbt24ejRo4xzqLi4GLa2trSJ0NzcHHF/1jQuUAQ1YPzu3buE5L2pqQnHjx+nB4w/ffqUGMuzdu1alUZQWnz7+FFW5kxMTACoJ0NUvCjUkWUuBTt37sTf/M3fYGxsjHMwLLW/wOI+Kzvxv4v91UIzGBoaYsWKFYxgsqOjg5BZCQQCbN26FQYGBpDJZBgbG8PQ0BCGh4fpr1Q2n0u/rwrPnj3Ds2fPYG1tDWdnZzg7O8PFxQU2Nja8C6NQKERUVBRj3+vq6rB27VoYGhqiv78fZ86cIXpzjI2NsW/fPk6pKN8gXWUwMjJCeHj4O5E5XV1dGBgYwNDQkH6wf2Zvb2xsVHvQcEtLC9ra2rB8+XIkJiYuaYFSh8xJpVJkZ2cTxzw2NhYhISGMbQKBABs2bMAXX3zBqPTcunULH3/8MZFtn52dJdwE1Z3bZ2hoiJiYGMTExKCvrw9VVVWora3lDU7HxsYIwwupVIpTp04xSJqmwd53hb6+Pnz22WdYuXIlI6jiAyXbUqwSsMmcTCbjtOvmGkTv6OhIkDk++bSjoyM++ugj3L59mxhozjZCYEOVvJIPRkZG2L9/Px48eKD2EOuMjAylPWgUvLy8IBAIaNJGOQ0+ffqUCK5XrFihUlbu6OhIkDku6OrqYvv27SgoKEBeXh7jd2/fvqVn7FGVDnUSV319fbh79y6vK6qFhQXS0tIIMsruMbS3t+c8B2tra3Hr1i1i+/r16+kAXxF+fn5wdXVl7E9BQQHCwsKI5DS7KmdgYKCWXM7a2hobN25ESkoKSkpKUFZWppaSaOfOnRrP+tPR0YGvry8jQaKu1JIPcrkcBQUFahUEjIyMEBUVtWQSR6GmpobxfgKBgDivzczMsHPnTpw8eZJx7t25cwfW1tZwcXF5p345PojFYmzcuBF2dna8A8aTk5OJebPu7u5KJbxafHf4VsmcWCx+Ly6S7JuLs7MzXrx4gampKV6ZCwWqdGxjY/NO5ifKIBaL4ePjg9LSUk6HNMULrbu7m9dMAPjL/goEAm217QeE2NhYlJaWEgG4IuRyOQoLC3Hz5k2MjIwsibCpg8HBQbrnCViUfjg5OdEEz9nZmVHVjYiIwNOnT+nFQSqVoqKiAm5ubjh37hyxCFtYWGD//v28JID9f6nTR9LS0qKRw2RGRgasrKwYZE3TngDq89AEMpkMRUVFqKmpwapVqxAWFqbRIq4OmXvw4AER+Lm5ufFWTywsLJCSksKYpzY4OIhnz54hOTmZ8Vx25UYgEMDU1FTt/adgZ2eHdevWITU1FW1tbaiqqkJLS4ta5zTbofK7hEAggFgsVlt2OTk5iXv37qGwsBCJiYkICwtTej5zkTnFwdmlpaWE7DAlJYVT4eHg4MAIUFU5Duvr62Pr1q3w8PAgDAj4YGxsjImJCZSXl2NhYWHJD3Xx5s0bTE9Pw8LCgn4YGBgQySYDAwM6MKXAllYCi+Y96oxTsbe3Z3wuyo6lQCBAYmIi7OzscPXqVUaAPT09jVOnTmH9+vWIiopSSubm5ubw5MkTznEswGJcQBlxcN27uAxj2GhqasK1a9eI7atXr8by5ct5/79169YRTsxPnjwh5NlsMufp6amRMoEyG9HV1SUMd7jQ3NwMZ2dnjRPVAQEBjGulq6sLk5OTS0p4y2Qy3LlzR63RDsDi+KDR0VFs2bJlyfPT5HI5kRDx9fXlNH5xcXFBRkYGbt68SW+TSqW4ePEiPvzwQ0K6qqnUkw+KA8bZ/aUzMzOEgyo161NrevLDwLdemdM0C6MOAgICcOXKFQCLN7vY2FjO50kkEvpmpUmf0VKgrOE+ICCA/r6pqYnoqVMENZPIxcVFO6/jBwQdHR2kpKQwbrBc4HKB/LZBGYooVgoVq3fOzs4ICAhgyJoePXrEKUG0tbXFvn37GNVkNjR1eKurq8O1a9c0IrcFBQW0E91S0d7eTvQAshEeHo6Wlhai+jQ1NYVbt26htLQU69evV7snQRWZq6ysJBZ1yvBE2XFcvnw5amtrGUFqQUEBAgMDGZI2NpkzMzN7p9lYIpEIvr6+8PX1xdTUFHJzc7+33kZvb2/OKiz1MDIygp6eHrKzs1XO7GNjfHwct2/fRmFhIZKSkhAcHMz5ebD7iWZmZtDb2wsHBwdMTU0R1R47OzveCgLb7KKvrw8SiURp0oIyUHJ2dsbZs2cJyRMbk5OTnGTg2wJbpgUsVsMoYmdubk5/b2lpqXTGn6urK6cbJhe4TFBkMpnSa8rX15fuo1OUGlLV1bdv3xKJEKFQCLlcjvr6ejx48IBXHeTj44P169fzJsTkcrlKMtfe3o7Lly8TsQU1V00ZHB0daYk2hfLycsTExND3C5lMRqhL1KmqUpiamkJJSQlKS0vV7u+vqqpCY2MjkpOTER0drfa9ycvLi9EXSkkto6Oj1d5fYPF/vn79OmMtVAfNzc04efIkdu/evSQC+erVK2L8jbLKYnh4OPr7+xmVsKmpKVy4cIFYR5faL6cIqVSK8fFxjI+PY3JyEv7+/irJ7ooVK5QWJrT4bvGjlFkq3siePn3KS+bKysroII1LL/6+IJFI6CCey42Kvb+7du3ifJ3e3l76db7N/dViaQgNDVVJ5jSBgYEBrKysYGlpCUtLS1hZWdFJCi4IhUK1CRG7escFNpFzcXHB7t27VfZqatIzV15ezplxV4Xx8XGcOnUKsbGxWL169ZLmzz179ozxs5WVFQQCAcN0QCwW42c/+xny8/NRXFxMHN/e3l588803CAwMxJo1a3gttCkoI3PKDE9UJW6EQiE2bdqEr776ig7uZDIZbt68iQ8++IAOeDXpl1MX1MyyiooKpbPZVEEkEjGIl6Ic1sjICJ2dnbxKDqFQiN27d6sM7HNyclQSOUtLS5ibm3O6UY6MjOD69esoKChAcnIyAgMDGe9pbm5O9Lq1t7fDwcEBjx49IiSu6enpvISCy7ijr6+P1wRjcnISL1++pAcXqyJyPxTMz8+jr69PZWJFEZaWlti5c6fa1z37WEokEgwMDHDKxBVBzf+8evUq4dDHRUxHRkZw+vRp3uqzubk51q9fr3J8yMTEBEEEFT/3ly9f4sKFC8S9dvny5WqbTVBOzIoDsXNzc7F7924Ai/cj9vnKTlZwYXh4GEVFRaiqqlKrOszG3NwcHjx4gPLycqSlpan1npSrJVtqqQmZk0gkuHLlCnF/UJT7UjAxMcHU1BRjPejp6cGxY8ewd+9elT2hbLATeFZWVir/7zVr1mBgYIBRPeWSVKvql5PJZJiYmMD4+DjGxsYYX6nv+aT0yqAqoaDFd4sfJZlLTk6GmZkZxsbGcPLkSfzmN7/hXOS/+eYb+vusrKxvbX8UrV2TkpKI3/v4+MDf3x+NjY24dOkSfve733Ha135X+6vF0rAUzby+vj5N1BRJm6WlJUGaVMmZ1q1bBycnJ7x+/Zp2F2T3LC0VXl5e2L59u1oyEnUrc8+fP0dOTg6xPTQ0FH19fYyFydXVFf39/QznV2Cx+bujowNbtmxRGZgporu7mzBuWLFiBSYmJhjVk4aGBqxfvx5r1qxBZGQkHj58yGlIU19fj+bmZsTHx2PFihW8x4mPzKlreKIM9vb2iI+PZ0hHu7u7UVpaSjvV8o0lWArevn2L8vJy1NbWqtVbQsHf3x++vr5E5UxXV5eXjHV3d3MaPFCQyWSYm5tT2sdYUVFBzEjT19dHSEgIY5C7UCjE/v378fLlS+Tl5XEafFC24AUFBUhJSYGvry+97x4eHgwy19nZCXd3dyL45zOpoaCnpwdra2tGcqGnpwdOTk6Qy+UYHh6midurV6/eq6X6Dx1ubm4ayTsNDQ3pmIDC27dv1bpn6Ovr04OU2QkgNgYGBogKC/CXcSwJCQlqSd7YFv96enqwsrICsEiyzp07RxCl8PBwrFu3Tm1Zm5mZGWJjYxn/U0tLC32+siWWtra2SiXZb968wfPnz9HY2KjR6A9zc3NMT08T95DBwUGcPn0afn5+WLt2rcrEU2BgIIPMvXz5Um2p5cLCAi5evEj8z0KhENu2bUNLSwsj8RkYGAhfX19cvHiRsSaNjY3h66+/xs6dO9V2h52YmCCSVFFRUSo/R2rfjh07RpjUUBAIBDA3N0d3dzdB0qifJycnv5XxPkuVnGrx7eBHSeZ0dXXx85//HP/0T/+ExsZG/Pu//zt+/etfM55TVFSEr7/+GsAiweLK4HR1ddEXZFJSEmNoI7CYhauurib6UhRRUlKCn/3sZwAWL6xPPvmE83l///d/j8OHD2N4eBi/+c1v8NlnnzF+397ejn/9138FsCh10JK5HyZ+8Ytf4A9/+APn7wIDAxlkjer5Unfx5bthU8jLy8Pf/u3fMjK4ExMT6O7upgleT0/PkgwnNm/erPbNWVVlTi6XIy8vj5gTBSy6v65fvx7Xrl1jkDl7e3ts3boV169fJ7LeVAP2qlWreOdBscHulTMxMUFwcDDGxsYYZG5qagqdnZ3w9PSEpaUldu3ahfb2djx48IAI2iQSCfLz81FVVYXU1FQEBQUR+8JF5vgMT5YvX04YnqhCUlISGhoaGBW4R48e0f0X71qZm5ubQ21tLSoqKlT2cPHB3d1d6WB6NkZHRzmrEGxMTU3xkrmOjg6i6ikUCrFjxw7o6uoyyNzg4CDm5uawbNkyHDx4EJ2dncjLy+OcodXf34+LFy/CwcEBKSkp8PLygoeHB2M2YFdXF1Gx19XVVctB0tHRkUHm7t69i87OTrx69WpJ2XJlcHNzg66uLnR0dDR6KP6NQCDA7373O8brUhXrkZER+jE6OorR0dElB5EVFRWoqKjAsmXLEBQUhMDAQJWKAUdHR4LMKWtpUIRQKMTq1athb2+PGzduaEQkvby8kJaWBktLS7X/hktiKRAI0NfXhzNnzhDEJygoCBs2bNC4PykhIQGVlZWMc+nhw4f48MMPVY4kABbv5W1tbXj+/DnvmAEKPj4+cHFxIXrnDh48CJFIhNzcXE4DLGpumSoy7OnpuSSp5dzcHM6dO0dIehXH7rCPhVQqhZubGz744AOcO3eOkSSbm5vDmTNnsHHjRrXOr4qKCkYCVCwWq31eUomGY8eOEVVUYPEY/Nd//Zdar/U+oY1Pf3j4UZI5APj1r3+NixcvoqWlBb/5zW/Q1taGXbt2wcDAAHl5efiXf/kXSCQSGBgY4D//8z+X9B5jY2NISUlBSEgIMjMzERkZCQcHB4hEImJoOLBI2Ph00AcPHsTx48dRWFiIzz//HL29vfjwww9hYWGBkpIS/NM//RPGx8chFArxX//1X0uSlWnx7cPc3BwuLi7ETBZDQ0OsX7/+nRxI2TOH2JidnUVOTg4yMzPpbSYmJvQMIGBxEert7aUrd69fv1arevfZZ58hISEBy5cvV5lZVmaAIpfLcf/+fUbwTGHlypVISUmBQCAgAp/h4WGYmppi//79ePHiBXJzcxnBvVQqRU5ODlpbW5GZmalU7jgwMEBIaWJjYyEWi2FlZQUHBwcGUamrq2P0inh6euKTTz5BWVkZ8vLyiGrh+Pg4rl69SvfTKUqrucicpoYnyqCjo4ONGzfi1KlT9Lb5+XncvXsXu3btWhKZk8vl6OnpQXl5Oerq6lQGsiYmJkqNgDSR083OzuLcuXMEcYmMjERNTQ1jX6ampujqhSIGBwdx6dIl4rzcsGED3N3dIZFICIlyT08P3N3daYdKd3d3tLa2Ii8vj1PK9PbtW5w7dw7Ozs6Ij49nSLOouWaKSEpK4uw7lcvlGBsbQ39/PwYGBjiDW01Mw4RCIZycnGBubq6yD0goFCIjI2NJhjgUenp6iG2RkZGc5mKUoy9F7kZGRtDR0cH5Gnx4+fIlXr58iXv37sHLywvBwcHw9fXlvEfZ29szjt1SkhHOzs6IjIwkXPu4YGpqivXr18PPz09jksU+Bk5OThgaGsLp06eJ+42vry8yMzOXpAzR09NDcnIyI9HR29uLkpISglAqjiSQSqWoq6vD8+fPiXNbEUKhECEhIYiLi4OtrS0xPsTGxoZWB2RlZSEqKgr37t0jPhupVEonytauXYuAgADimFKulorneX19vVIyNzMzgzNnzhDHW1dXF7t376YlinyKChsbGxw5cgTnz59nHC+ZTIYbN25gZGSEc7C24uuUl5cztgUHB2vklCyVSmFubq7RfXWp0NHRgZmZGUxNTWFiYoLq6mriOQcOHFC7KqnFd4cfLWMwMTHBnTt3kJ6ejtbWVnz11Vf46quvGM8xNTXF2bNn1c6C8KGmpkappbpIJMI//uM/4n//7/+t9DnXr19Heno6SktLceXKFaI/SldXF5999hnS0tLeaX+1+HbxwQcfoKamhmEsMD09jdu3b2Pnzp1LdndikzlPT08YGBgwpCXV1dUICwvj1cmLRCI4OTnBycmJdjubmJjA69evlbpJzs3N4dGjRygpKUFKSgpCQ0N5gwe+0QQymQy3bt3i7NNbs2YN4uPj6Z/ZQTlVlRQIBIiNjYWHhweuXr1KLGBdXV344osvkJ6ejuDgYM5jzSW1U7SADgoKYgQTjY2NyMjIYCRQhEIhYmJiEBQUhCdPnqCsrIyoMrx+/RpHjx5FWFgYVq9eDWNjYyIoGB8f5zU8Waoxibu7O8LCwhjHuaWlBfX19QRxVyaznJ2dRW1tLcrLy1UGCgKBAN7e3oiIiICxsTGOHTvG+1x1gw6ZTIbLly8TFVBPT0+kpaWhvb2dkRHnqlRNT0/j3LlzRNZ6xYoVtG27WCyGnZ0d4zOnyJzi/+fj4wNvb280NTUhLy+PU07X3d3NmOHFBWtrayxfvhzj4+M0aaO+DgwMaCRZZUNXV5eeebVs2TI4OjrSxEZHR0epaUFHRwe++OILZGRkLNlOnB2EW1pa8rpEC4VC2uyEcvPjOqbqQCaToaWlBS0tLdDV1YWfnx+Cg4Ph4eFB33/YcuXe3l6VJigTExPo6upCZ2cnurq6iGSIMojFYoyPj2NmZoazbULZ/8ImF0ZGRjh16hRxjnt6er7TvQJYdDMuKSlhHHu2pFksFsPV1RVzc3MoLy9HcXGx0oSNrq4uoqKisHz5ckZyoK2tjfE89jgGFxcXHDlyBJWVlXj8+DGmp6cZvx8fH8fly5fh5uaG9evXEzJZtpHXy5cvMTExwZk4mZycxOnTpwkyqq+vj3379jEULsp6nY2MjHDw4EFcu3aNSLTk5+djdHQUGzdu5EzANzc3E8eRksQrw9jYGD3PUxmZ1gQikYgmatRX6kH9rK+vT6+pL168IMhcamqqlsj9QPGjJXPAYiapsrISn3/+ObKzs9HW1ob5+Xm4uLggPT0dv/jFL97J6cfR0RHZ2dkoKiqiM1mDg4OYnZ2FmZkZfH19kZycjCNHjqg1tNHa2hrPnz/H0aNHce7cOTQ2NmJqagqOjo5YvXo1fvGLXyAwMHDJ+6vFd4fg4GA0NTUxbu7Nzc002VoK2DJLKysrJCQkoLW1lRGs3rlzB5988onaC7yJiYnald6JiQncvHkTRUVFWL16NXx8fAjCxCWzlEgkuHr1KmdVYcOGDcQ8HTaZGx0dZTj52dra4siRI8jLyyPI2dzcHK5du4aWlhZkZGQw5Ffj4+NE4iU6OpoRcAYGBjJ6+ebm5tDe3s5pWmBoaIj09HRERUXh/v37nMYHVVVVaGhowMqVK1X2v6lreKIKa9euRWtrKyP44zLPYVfmKBe98vJy1NfXq6zCmZqaIiIiAuHh4XTQdvbsWaV/09fXx7Dr54JcLse9e/cIeZONjQ0dvBoZGTHIHDvwk0gkuHjxIhGA+/v7E3b2jo6OBJnjgkAgoHv+6uvr8fTpU5XyZzYGBwfx29/+llMWpSn09fXh4eFBD2u2s7PjJSd+fn4qHehmZ2dx5coVNDc3Iz09XaV0kQ02mVOn33N0dBQ3btxQKdMDgPj4eMzMzKCxsZGoUFGYn5+nE6xGRkYIDAxEcHAwsS/UEHJFs4rp6WkGeVOlhlCG4eFh3L9/Hzk5OfDz80NYWBiDXPJhcHCQIPSPHj0irkVXV1eNTGD4IBQKsWbNGpw7d473OZaWlnj69CnKysqUnrcmJiZYvnw5IiMjierSxMQEcX5wDXoXCoWIjIxEQEAAnjx5gtLSUiJR1tXVhS+//BJRUVFISUmhz1O2qyWwmIxjE6SxsTGcOnWK6DOlZieySaIqF2IdHR1s374dOTk5KCoqYvyupqYGY2Nj2LlzJ3E9KcqxgcXKL59D8+zsLBoaGlBTU8PZx6surKys4OfnR5A2Q0NDtRPNExMTnFVWPrNBLb5//KjJHLB4cf7mN7/Bb37zG43/1s3NTammX1dXF9u2bcO2bdveZRcZEIvF+PTTT/Hpp5++t9fU4ruHQCBARkYGXr58yQgy79+/D3d3d5Wuh1xgBxbW1tYwMTHBqlWrGDNeBgcH8fz5c6xcuVLt137x4gXjZ1tbW+zcuRN5eXmMyh+FgYEBXLhwAa6urkhNTYWLiwv9O7acTSqV4sKFC5zN5ZmZmQgODiZen03m5HI5RkZGGIGXWCzGmjVr4O3tjevXrxNVp/r6erx69QqZmZl0v0dRURHRn8Cex2RmZkYM1a2rq1PqQGdra4v9+/ejubkZDx8+JAjE/Py8WnOWNmzYoLbhiTIYGBggLS0Nly9f5n2Orq4uXTGYmZlBTU0NKioqVGZ6qSpVZGQkPD09GcHpy5cviez78uXLGefXwsICRkZGlPYQvXjxggh0DA0NsXv3bjpIZBNeReIql8tx69YtQr7q6OiIrKwsImhxdHRkyJ1USf2EQiGCg4MRGBhID7Nmm8sow/sgcsDiHK/Y2FjG9ccHd3d3ItD19/dHd3c3UR2oq6vDy5cvsXnzZo3s6NkSVGXnslwuR0VFBR4+fMhZjTQ2NiYcHUNDQ2Fra4v09HS0tbWhtrYWzc3NvP2UlD1+SUkJp6S4s7MTw8PDNHn7NqRqUqkU9fX1qK+vh6mpKcLCwhAWFsYrceZyhGUTOUdHR+zZs+e9zA8DFkmQp6cncY+m0N/fr/S+YGNjg7i4OAQHB/OSS/Z9gaoi84G6h0VGRuLevXsE2aequXV1dVi9ejXCw8MhFosJqWVDQwODzA0PD+PUqVPEemFqaooDBw5wSrXVmQ8qEAhoo5Z79+4xYseXL1/i66+/xt69e+nPfWBggEj+sSWhEokEra2tqK2tRUtLy5L63dkYGhrC0NAQgoODNTINUwTXNZuRkfFOFWItvl386MmcFlp8XzAyMsLGjRtx8eJFetvc3Bxu3ryJffv2aSS3lMvlnGQOWHS+qqqqYmQ98/PzERQUpFZPVH9/P2HDHhsbC0tLS2zduhVxcXHIzc3lrDq9evUKx48fh5+fH1avXg1ra2tiweFyIRSLxdi+fTt8fHw490lPT48I5thZdApubm745JNPcO/ePaLqNjExgdOnT2P58uVYsWIF0Z8QFhbGWQULCgpiEIHm5mbMz88rNYERCATw8/ODl5cXiouLUVBQoJFkbvny5RoZg6hCQEAAfHx8eGcbmpub4/Xr16ioqEB9fb1KG3EzMzO6CsfX78UmrMbGxli1ahVqa2sZSY3e3l5eMtfS0sIYgA4sBlO7du1inM9s6ZoimcvPzyfOBVNTU+zatYszAGbb/Y+OjmJqakqtkRBhYWEIDg5GZWUl7t69+16c4fT09GBra0v03rIxODiI48ePIyYmBqtXr1Z6forFYsK+fX5+Hp9++inu3r1LJG0mJiZw5swZREdHY82aNSqJA9WPqwg+Mjc2NoabN29yjn8AFu9pkZGR+PLLLxnbqeqvWCyGn58f/Pz8MDs7i6amJtTW1qKzs5P3+HNJJNmDjtWBgYEB3Nzc4ObmhlevXjGGkQMgXDMVMT4+jvz8fOTn58PNzQ3h4eHw9/dnHFsuox1FULM++eSrmkIul2N2dhYRERG8ZI4Prq6uWLFiBby9vVWuZ2wy5+npqVbwb2triwMHDqCxsREPHz4kju3MzAxu376NsrIypKWlITAwkFdqOTAwgFOnThFJAgsLCxw4cIBXds4mqMpIVXR0NMzMzHD58mUGCR8aGsKxY8ewe/duODs7cyarAgICIJfL8fLlS9TW1qKhoYG3Av0uaGpqQlNTEwIDA5GUlKTRKIWOjg7iXhEaGvpe5tlp8e1BS+a00OId4Ofnh9DQUIa2vKOjA2VlZRrNwBkbGyOCbYrMCYVCbNiwAUePHqV/J5FIcO/ePbVmb7Gb+Q0NDRnVMkdHR+zfvx8dHR3Izc3lNIBoampCc3MzwsPDVRqqsJvL+WBlZUWQOT7o6+sjKysLPj4+uH37NrEAvnjxgqg+CgQCRp+eIgICAhjZ1YWFBbS0tKjVSyQWi5GQkIDQ0FA8fvxY7SHalLRRV1eXflBugXw/q9qenp6Orq4uTlLZ39+PEydOKN0noVAIX19fREREwNPTU+m51NraSpCPlStXQldXF/b29ozAva+vDwEBAcRr9Pb2cg5CzszMJLL4bKJFkcW6ujrCeZg65/iG3dvY2EAsFjOusbdv3zJMH5RhYGAA3d3dGhM5XV1d2NjYwMbGBra2tvRXaj//4z/+g3ENmJmZYWJigqh+l5SUoLm5GRs3blRaSfPz82MEYp2dnRAIBNi6dSt8fX1x584d4topLS1FR0cHsrKyeGfcAYvEkh3ksiVjcrkcVVVVePDgAWd10szMDJs2bYKHhweRPNLT0+M0htDX16erXRMTE6ivr0dtba1GRirKoKenh2XLlsHNzQ3u7u6ws7Ojr4P5+XkGmfP29sbu3bvR2dmJyspKNDY28gb+XV1d6Orqwt27dxEUFITw8HA4Ojoq3W8rKyvs37+fV/4ql8sxNzeH6elpzsfMzAznNk3PW39/f8THx8PZ2Vmt50ulUoIockks+SAQCBAQEABvb28UFhaisLCQWA97e3tx4sQJ2uxLEQ0NDXB1dcXp06eJAeY2NjbYv38/770BUK8ypwgfHx/85Cc/wblz5xjX7/T0NE6ePIkNGzYQ/WbOzs548uQJamtr1ZoRqaenh4CAAISEhNDmVJqivr4eDQ0NCA4ORlJSkkrHVYlEgrt37zK26evrL8msS4vvFloyp4UW74j169ejs7OTcYPOycmh7e7VAbsqR1WuKDg6OiI6OpphptHa2oqmpibOxY3C1NQUUcGIiooiMpECgQCenp7w8PBAbW0t8vLyCFkZJZtSBgMDA+zdu1dpUEjB0tKS0RugTm9SYGAgXFxccOPGDd6sPwVllUsjIyN4eHgwApC6ujqNjCFMTEywefNmREVF4dq1ayr3XyKREBnjdwXXwFt1YGFhgYiICISFhanlwCqXy4keCnNzc7oX0s7OjiBzbExMTOD8+fOEpCw5OZnzuHNV5l6/fo3r168ztlNkha8XBVgkrQ4ODgwy+ubNG6VkTi6Xo7W1FcXFxbxDovmwe/du2NrawszMjJcgj46OEufD/v37IZFIcOPGDaL/aGxsDGfOnEFYWBjWrl3LGfB7eXlBJBLRwShlHBISEoKgoCC4urri5s2bROA9NDSEr7/+GomJiVi5ciVnRYW9P2ZmZozPaHx8HLdv3yaGb1OIiIjA2rVr6YoTlwxOFUxMTBAbG4vY2FgMDQ2htrYWL1680Ki6oaOjA1dXV5q8OTg48Pa5cQX5lAOqh4cHZmZmUFtbSygnFEGZipSXl8PCwkKpyUpoaCjq6uqUkjU20X+fMDc3x759+ziliMrQ3d1NkHd1EyWK0NHRQXJyMsLCwvDw4UPOHmyubQ8ePICuri6xD/b29ti/f79KgxpNyRywWJU+cuQIzp07x5CoSiQS4h4FgDbwUQahUAgfHx8EBwfDx8cHYrGYrkwrg7W1NcLCwlBYWEiQWblcjpqaGtTW1iIsLAyJiYm8Fcrnz58T69jq1avfucdbi28fWjKnhRbvCH19fWzatAlnzpyhty0sLOD69es4dOiQWpbSXBJLdhC4atUqNDY2MgLA+/fv0/N3uFBeXs5YmIRCIe/4DGAxMA4JCUFAQADKysqQn59PLA7KsH//frV7wtgBgzpDkaVSKSYmJuDt7a2SzE1PT2NhYYFXPhYUFMQIatva2jA7O6uRbfTCwgI6OzvfO0lTF5oQOaFQCD8/P0RGRtK2/Oqivr6eIGjJycl0EMTuzWBXd+fn53H+/HkiIx0SEoLExETO92QHED09PZzz6NauXcsr51WEo6Mjg8zxVUgWFhZQXV2N4uJijc1PKLx+/VrlPnGNN7G0tIRAIMCRI0dQXFyMvLw8okJRVVWF1tZWpKenE9VPPT09eHh4MAhVU1MTPc/Q1NQUe/fuRWlpKXJychivLZfL8fTpU7S2tiIrK4tWBlDgMz+hgsX79+9zkioTExNs2rSJCO7Z54KmfcZGRkaQy+UakZsDBw7A1dVV7d4fdtKL/VkYGBggJiYGMTEx6O3tRWVlJWpqanjJpSq3THbC5LvG6Ogorly5goSEBPj5+ak9DoFN4O3t7ZVWwlTB3NwcO3bsQEdHB+7fv6/SBZWqWCrCxcUFe/bsUet+vhQyByyesx988AHOnDmjUj6rDMuWLUNwcDACAgKIJE1dXR3jvBMKhVi/fj2jgjY4OAhHR0f84he/QHFxMYqKiojjIZfLUVlZierqakRERCAxMZHxGY2MjBCzYZ2cnAjzMi1+mNCSOS20eA/w9PREVFQUQyf/+vVrFBUVYcWKFSr/nq9fThH6+vpYu3Ytrl69Sm8bHx/HkydPsHbtWuL5UqmUsMUPCgpSa5EVi8WIjY1FWFgYnj9/zjkAnAtHjx6FlZUVLS2jZGWWlpZEYMQ3nkARk5OT9EB0aii6qt4vCu3t7fjjH/+IhIQEREZGEu/v5+eH27dv0wu3VCpFY2MjbWmvDDKZDDU1NcjLy1NLMvN9wtLSkq7CLSXDKpVKGYPWgUXpkqJUl03mxsbGaGIsl8tx7do1ggy4urpi48aNvKSSva9csj3KHl0dKM4DBEgyNzk5iZKSEpSVlSlNYIjFYoSGhqK2tpa3Z/LZs2fQ09NDQkIC7+uwyZyzszN9LIRCIeLj4+Hn54ebN28S7nZTU1PIzs6Gn58f0tPTGde0v78/I7hua2tjJDUEAgFiYmLg4eGBa9euEcehp6cHX375JdasWYPo6Gh6n7j65SYnJ3H79m00Nzdz/o9hYWFYt24dZ0C9lMocsEi2S0pKOKsQqvDo0SNs27ZN6cgORWjSS2Vvb4+0tDSsWbMGzc3NqKys1LhH7YeAt2/fIjs7G1ZWVoiPj0dISIhKR002mdNEYqkMHh4e+Pjjj1FaWoonT55oZCwUGhqK7u5uGBoawsDAAAYGBtDT0+O83ygjc3K5HNPT0xgbG8Po6CjjK/X9UvrebGxs6Iq5svORLeOnzKmKiooYyYHCwkLs27cPSUlJiImJQVFREV68eEHco2QyGcrKylBVVYWoqCgkJCTA0NAQ9+7dY6ytlMnbUkctafHdQkvmtNDiPWHNmjVob29n3GDz8vLg7e0NW1tbpX/LNZaAC0FBQaisrGTIvoqLixEaGkoE1PX19UTFSN3AF1gMnuvr61VWwBRBGbkMDg4y5DACgYAgeexFYnJyEl1dXejv76cHnmviIMiFyclJ3L9/H4WFhVi5ciXtiAYskmMvLy9GIFpfX6+SzLW3tyMnJ2dJznhbt26FSCTC/Pw85ufnsbCwQH/P9TP7d6pGCXBhx44dS3Y1AxaDCXbVNCUlhZG1t7GxIQZz9/X1YdmyZcjNzSVkQhYWFipt11VJo6h5dOoGG2wyNzk5Sc8JKy4uRm1trdJg3cjICDExMYiKioKhoSF6enqUDqZ+9OgRdHV1eedKsTP5XM5/lpaWOHjwICoqKpCTk0MEs01NTejs7MS6desQFhZGO5Eqym8XFhbQ3t4OPz8/xt9aW1vjgw8+QEFBAfLz8xlVXqont7m5GZs3b4aJiQnxvw4NDeFPf/oTJ6EyNjbGxo0blVYnNa3MSaVSVFRUID8/f8mV8Ddv3uDLL79EZmamUvdaCuwgX51EklgsRmBgIAIDAzE2NoZnz54RZhjvA2KxGIaGhoyHgYEBsU0kEuHixYsaE9+hoSHcunULT548QVxcHCIjIzkVIGNjY4QT5vsgc9PT0/SMxuHhYZiZmWk0c+327dvENqFQSBM7RZLH7kfr6enBmTNnaMK2lPsuF0xMTBAUFISQkBBGbyYfBgYGCPfTsLAwOtmjOAy+vb0dvb29sLe3h4GBAVatWoXY2FgUFhaipKSEOHclEgmKi4tRXl4OiURCqDyio6Pfi/OyFt8NtGROCy3eE3R1dZGZmckwnZBKpbh27RqOHDmiVNqjTmUO+Eu27IsvvqADT7lcjtu3b+ODDz6gFwe5XE4Ygri6uhIBLRtyuRzd3d20A+L7WsT4SB4bJ0+efC/vx8bExATu3r2LZ8+e0aROJBIhKCiIQeY6Ojp4XQ57e3uRk5OjEbllo7S0FPv371/y7CiZTIaFhQXMzMzgypUrakl7zpw5g8OHD6tdjVDEwsICnj59ytjm5OREEAORSAQbGxsGwe3r68PQ0BDnEPc9e/aoJGvKqogCgQCpqamYnJyEWCyGSCSiH3wBkpWVFfT09BiE6Pe//73SfQAW3fbi4uIQFBTE+NzY8j43NzfCXv3evXvQ1dUlZk/Oz88TlS4+G3eBQIDIyEh4e3vjzp07RN8N5aBbW1uLjRs3wsLCAq6uroxqXlNTE/GZAYufW3JyMry9vTn7PqlB48uXLyfuBexeXAohISFYv369yhl27MocH5mTyWS06Q2fTFEgEMDQ0JDheErNV8vNzWWQ9NnZWVy4cAFxcXFYvXq10vuyKpmlMsjlck5nQFVwd3fnJWaKD3XGFkilUpw/f14pkTt06BA97oZL6j4xMYGHDx8iPz8fMTExWL58OePaZbtYGhgYqNUzTWFqagoDAwM0cRscHER/fz8xV/J9QCaTYWpqihjOzoVvo6q6ZcsWtWYSU2BX5YyMjGi5cmhoKPLy8hjHqaioCFlZWfTPhoaGWLNmDeLi4lBQUEC0XQDkWAxgMRmTkpKi9n5q8f1DS+a00OI9wtXVFfHx8YwAtre3F/n5+bw3x9nZWSLTzEfmgMWgdMWKFcjPz6e3UQSM0re/fv2akE8pG/g5PT2N6upqVFZWquxP+CHA2toazs7OcHFxwcDAAOHY6eHhwUm6xsfHcefOHTx79gyJiYkICAiAjo4OvaDJ5XI0NDQwnEhHR0eRl5fHG7wCi4H86tWr8c033yit7rx69Qo3b97knIWmDoRCIRYWFniJnJ+fHyQSCSPAmpycxJkzZ/CTn/xEY5llWVkZMaNs1apVnPtuZ2fHIHPFxcVEwC4UCrFjxw7i/JbL5ZicnERfXx/6+/vR19enlKjK5XLC1p6CQCBgkDvqIRaLNZJpeXl5IS4ujre/kJ3JjoiIgK+vLzGq4+bNm9DV1WX0t/X09DD+XigUqky0UKMX6uvrce/ePSLY7ezsxBdffIGUlBT4+voyyFxLSwtkMhlvD5STkxM+/vhj5OTkENLs2dlZgtBzwcjICBkZGUoNmRShSmYpl8vR3NyMx48fK70n+fv7IyUlBdXV1SgsLKS3Ozk5ITY2Fm5ubsjOziaISlFREbq7u7F161ZeIrnUXqqRkRHcvn17SYkfe3t7rFq16p2HhVNJPlWkxMTEBMuWLUN4eDgaGxvx7NkzTkfj2dlZ5Ofno6ioCBEREYiLi4OZmRkhsWTPpqT2hYu0DQwMfCuk7YeK06dPY+PGjURyhwuUlF8RISEh9Dmpo6ODmJgYhrNvbW0tUlJSiMSdsbEx0tLSEB8fj4KCAlRWVirtNY2KitKod1yL7x9aMqeFFu8ZKSkpaG1tZQQgBQUF8PHx4cxYsqtyAoFApQvmypUrUVtby8hU5+bmws/PD0ZGRkRVztzcnJAVUZnjyspKNDU1vfPA0pCQEERFRdELNvV4154yXV1dODk50eTN2dmZkfW/ceMG4/mBgYHYtm0bXr16hSdPnnA6EY6NjeHWrVsoKCggMpN1dXWIjo7GzMwMnj17hhcvXvAeG1tbW6SmpsLLywsDAwPE8z799FOcOXOGQYhqa2thbm6OVatWaXwsent7OY1EACA1NRXx8fGQSCQ4c+YMY47e0NAQzp07hwMHDqg9v2pubo7olXR3d6cHtLPBlnJyVVEyMjLg5OSEN2/eoK+vj0HeNJWB8UEul0MikWhURaEgEokQGhqK2NhYlbOZ2GROKBQiNjYWc3NzjABLLpfjypUr0NHRoeVn7H45e3t7tSotAoEAQUFB8PDwwIMHD4hgb2FhAQ8fPiQcSmdmZvDy5Uu4u7vzvraOjg7S09Ph6+uLGzduECReGQIDA5Genq6y2kphdnaW6OVRJFQdHR14/Pgx54BtCp6enkhJSaHvqewB8tRcLHt7e3z00Ue4efMmGhoaGM95/fo1vvzyS2RlZXFKAzWtzMlkMpSUlODx48dLVjUUFRWhra0NWVlZ7yRzy8/PV2tsCvWZCYVCBAYGIiAgAO3t7Xj27BnRqwksnmMvXrxAaWkpAgMDiX5JakwJex14X9e3KggEAri6ujJGNbwPB1CBQABTU1OYm5vDzMwMZmZm9PfU17y8PEKJoAiZTIYbN25gcHAQq1evVprQa2trI5K8bBIYHR2NwsJCRjKyuLgY69ev53xNMzMzbNiwgU4G850fcXFxvPulxQ8TWjKnhRbvGWKxGFlZWTh27Bi9iMjlcly/fh0fffQREbSxyZylpaVKtzWxWIyMjAyGg+bs7CxycnKQnJxMSBljYmLobOn4+DgqKytRVVWlsieN6sGJiIjA27dvifleiqitrUVcXBwiIiIY2+fm5jhlNMpInp6eHlJTU+Hs7AxbW1ulrmpcRhLAYpX0wIED6OrqwpMnTzgDE67//9WrV7h//z6qq6t5G9tNTEyQkpKC0NBQet/YPXSmpqawtbXFnj17cOLECUbwWlBQAAsLC7XMVig0NTXh6tWrRJCoq6uLLVu20GRdR0cHu3fvxokTJxg9Jj09Pbh06RJ2796tVta/qKiICMCUEVBlowEoFBYW4tatWyqf913DwMAAy5cvR1RUlNrVS3aASAVmiYmJmJ+fZwR1MpkMly5dwt69e+Hm5sZ7zqoLQ0NDZGVlISgoCLdv3yauJa6essbGRk4yR1VFqeuzv78fenp6GpE5CwsLdHV1wcHBAebm5iqrzlyzKk1NTdHd3Y3Hjx8rHQXh7OyM1atXM+RqCwsLBPFTHHKsp6eHbdu2oaysDA8ePGAkXWZmZnDu3DkkJCQQvaCaVOYGBgZw8+ZN3opycHAwxsfHGfehsLAwjIyMEPemgYEBHDt2DElJSUhISFDbVZJCVVUVca8Wi8VYu3YtwwVRIBAQyR2BQAAvLy94eXnh9evXKCws5DS4kclkjOHdFHJzczXaV2UQiUSwtrZm9FqXlJQQcmZF2Nra4uDBg4yWg/n5eczMzNDkTvF7ZWtaZmYmTdRMTU2Vfg5yuZzoDY6JicHIyAhRvSwsLMTQ0BCysrJ4najZRMvR0ZHovTc0NER4eDhKSkrobRUVFUhKSlIqc7awsEB8fDwnmVu9ejXvPmnxw4WWzGmhxbcABwcHJCYmMhaKwcFBPH78GOvWrWM8V91+OTY8PT0RGBjIGGpbXV2NwcFBRtVAV1cXoaGhaGxsRGVlJdra2lRa2lNzyEJDQ2mnPLZttpeXF7q6uuhstVwux927d/GTn/yEEczp6enB2dmZCFhLS0uJAaUUJBIJzM3NVRKEqakpos/H1dWV8bObmxsOHjxIkzp2Bp8L7MomBV1dXSQkJCA2NpYg5WwyR1Wq7O3tsW3bNpw/f55x3G/fvg0zMzPeShcFuVyOZ8+ecdqWm5ubY9euXURVTF9fH/v27cPx48cZhLWjowPXr1/H1q1blQbc09PTKCoqYmzz9fVVSjpUmfwA6o2f+D7g7e2NxMREjaSvXJU54C/9fNR8MQoSiQTnz5/HgQMH1DI/UXe/f/rTnyI3N1elyUZ9fT0SExMZiRXq61Lc+BTx7Nkz+nt9fX3Y29vDwcEBDg4OsLe3h5WVFSMQ5krkXL58mdcVE1i8nlatWgVvb2/ic+ru7maQa4FAQBxTgUCA6OhoODk5ITs7m0jkPHv2DK9fv8bWrVvpe546lTmpVIpnz54hPz+fswJkamqKjIwM+Pj44Ny5c4zfWVlZYdOmTSguLsajR48YZFEmkyEvLw8tLS3IzMxUe11ob2/nTJhs3bqVuGcZGhoqPeddXFywa9cu9Pf3o7CwELW1tUuaa6kKYrGYIG02NjawsLBgnDevX79WSuSAxftwQ0MDAgMDAfyFsOrp6RHyw5GREd7PDVhcx9W5rwGgjVoUERoaCnt7e+Tk5BCtAE1NTThx4gR2795NSIynp6eJa4FPmhkXF4fS0lKG4VFZWRlWrlzJu6/z8/PIzs7m/J0yB14tfrjQkjkttPiWkJCQgObmZoYLXHFxMfz8/BhZY3WdLLmwbt06tLa2Mqo+7Az1/Pw8/vSnP6ls+haJRAgICEBERASWLVvGWOQHBgYIsrJixQo4OzszCOvr169RU1OD0NBQlfvOrk4oQiqV4uLFi3QlQ93X0NHR4XRuFAgEcHd3h5ubGzo6OvDkyRON5gJR8/kSExN5KzdspzXFIMDb2xvp6ekM9zGqWvPBBx/wBgwSiYQ2t2DDxcUFO3fu5N0fExMTmtAp9qXU19fD0NBQqRNkQUEBIYNTVpWj7MzfFdTnZ2tri5aWFl7XQktLS3zwwQcQCoWQSqVqPSQSCS5fvsz5ejU1NTA3N9eo6Z8d1CoeS8qoaGFhgSGFnJ+fx7Fjx4jXWiqZAxaPWVJSEmxtbXmTI8BigPi73/1uye+jLmZnZ9HV1cUIunV0dGBvb0+TPK4Zf3xEztLSEikpKQgMDOQ9X9mVLQcHB145saOjIz7++GPcuHGDqKS8fPkSf/7zn7FlyxZ4enqqHE3w5s0b3Lx5k9dlMSoqCqmpqfS+sMmgWCyGQCBAXFwcPD09ce3aNaJfjXLgZI+K4EJvby8uXbpEkJO0tDT4+fkR9xF1ZbG2trbIyspCSkoKnj9/jsrKyiXJmMViMUHYbGxsYG5urrL6KJVKCYdKHR0dfPrppzh//jyjreHJkyfw9/dX+Zp5eXlKJZhlZWVIT09X4z8jh5mbmZnBwcEBAoEA69atg7W1Ne7evct4v97eXhw9ehS7du1itGDU1tYynkeZdXHB3NwcgYGBDKOdFy9eIC4ujlOBQSVd2X2oYWFhyMjIUOt/1eKHBy2Z00KLbwkikQhZWVn48ssvGUHA9evX8cknn9AL/FIrc8BiwL5q1Srcv39f6fOUETk7OztEREQgODiYV5rBdmQzMTGBq6srnJ2dUV1dzeiPysnJga+vr9IGarlcrrIxn6pk7N+/n7cixCZzTk5OSiWqAoEAnp6e9GDl8+fPK90HAAgICMDq1atV9jHyVeYoREVFYWRkhCG/m5ubw7lz53DkyBGiz2lychIXL17kJJ3UwqtKLmllZYW9e/fi5MmTDHJWWloKY2NjzoHd4+PjhAlGSEgIQTjlcjlaWlpQXFysMlvOBtUXShE3Ozs72NnZMSR6ly5d4nU+HR4exr1791RWGBWhytY8Pz8fJiYmiIqKUuv1+GSWij9v3rwZ8/PzBGlQhImJCZ2ZpyRh09PTmJ6extTUFP099fPMzAxj+7tW1b4LLCws4PXr10oTOGyYmJggKSkJYWFhKmXnbDKnmCzjgr6+Pnbs2IEXL14gJyeH8VlOT0/jzJkzSExMpKs7FGQyGWQyGaRSKR4/fowXL15wVqosLS2xadMmYj/YZFDx+rW1tcWRI0eQn5+PgoIC3lERmzZt4jRsGR8fx7lz54gkTFxcHD0egy2bVuU4yoa5uTnS09NhbGxMzJ5kw9LSEi4uLgRpW+rcsuLiYuIaTk5OhoWFBZKTkxnJpMHBQdTW1ipNKr59+5YzSaaImpoapKamqiU7ZF/jfn5+jP81MjISlpaWuHTpEuOanZycxDfffIPMzEz6fGPLH/39/ZV+VvHx8Yw1empqCtXV1ZwDv6uqqlBdXc3YZmdnh/T09Hc23dHi+4P2k9NCi28RNjY2WLVqFXJycuhto6OjePjwITZu3AipVEpIMzQhc8BiE3RlZaVGc890dXURHByMiIgIOnvIB7lczpByAosERygUQigUYv369QxSNDU1hadPnxJyUkX09vYSLmY/+9nP8OTJE8YCOz8/j7Nnz+LgwYOckkt2cKhOhUMikaC6upohDVOGDRs2qAx6ZmZmCOkYV4UwNTUVo6OjDCOGsbExnD9/HgcPHqSDBmVGJ5TVtCbz1Xbu3ImzZ88ygta8vDwYGRkRC/7Tp08ZQadQKERycjL988LCAqqrq1FcXMw56J0L7u7uDNJmY2Oj0vBD2Qw3YLHC6OzsrNSlVRFchFNxHhsA3L17F8bGxpw2/mzwySzZ27Zu3YoLFy7wJi8mJibw5Zdf0uTsXY2IlgodHR1G4G1rawtbW1uUl5cTRjiKiImJwdDQEHp6et6LyYWuri6Sk5MRHR2tVnApkUiIhIcqMgcsfvaxsbFwcXFBdnY20ceXn5/P6WDb1taG+/fvcxr8CAQCxMfHIykpifP85qrMKUIkEiElJQXe3t64fv0676iI9PR0BAcH0/eA2dlZnD17luhzDAwMxJo1a+if2fdcdStzimhoaFDaZ0ZBIBAgISFB4/WMC6Ojo8R72tnZ0XNT/f39YW9vz6hqPn36FEFBQbyJAHZvn56eHg4cOICjR4/S2+bm5lBXV0f0gbMxPDxMrL+K7rUU3N3dceTIEZw/f57x2VKqgcHBQfj4+BDVWVXulw4ODoSDc1FREcLDwxn3pb6+PqJ6r6uri+3bt6tlwKTFDxdaMqeFFt8yYmNj0dzczOjVqqiogL+/P8zNzYkMv7qLn0wmw8uXL1FfX682kXNxcUFERAQCAgLUbnKm5oUpQlHy4ePjA29vb0aT94sXLxAeHs4rH2TPJrK0tISlpSUyMzOxsLDAyHLOzs7i9OnTOHToEMNhUCKREHItdr+cIhYWFlBZWYnCwkKNHDZPnjyJ/fv3KzXGYB9/kUjEKZcVCATIzMzE+Pg4IwDt6enB1atXsWPHDjQ3N+PatWucRidbt25VOoiZDx4eHsjKysKVK1cY2+/cuQNDQ0PaTn5oaAiVlZWM50RERMDCwgJTU1MoKSlBWVmZRnbixsbG2LVrl0ZN9dPT00RP086dO3Hjxg1GVjsnJweOjo5KP3cK7OpNSEgIXFxcGNJXynnywIEDKhMDymSWihCLxdixYwfOnj3L26+5lAH074qgoCCaWNva2vJWTVTtm1wux759+yCXyzE+Po63b9/i7du36O3txdu3bzUyUgEWr+uRkREMDAzA3t5eZdKip6eHIEnqnA8UqLEM169fJ2b4cRkk8VXz7e3tsWnTJqUOlKrIHAVnZ2d8/PHHyM3NZZhbAIsE49q1a2hubkZGRgb09PRw6dIlomrl6uqKzMxMxvFjX7eaVuY6Oztx9epVtfrmhoaGcOzYMWzbto2ejbYUULJA9rHbsGEDTdQEAgFSUlIYn83IyAiqq6s5iVh7ezsxNmLFihVwdHQk1rLy8nKVZI6tIDAyMuJVk1hZWeHw4cPIzs4mjH6ePHlCkFZTU1OlLrQU4uPjGf/T0NAQmpub6Xv73NwcsrOzieO4adMmjVo7tPhhQjOLJC200EJjCIVCZGZmEpkvLuczIyMjpQusTCZDV1cX7ty5g//4j//AqVOnGCYLyuDr64tt27YhLCxMo8CaLbE0MzMjRiysX7+ekQGlFmC+RZ9dpfD09ATwl0oGe/Gfnp7G6dOnGdnwt2/fElUMrgWUchb84x//iHv37mk8KqGvrw8nTpxQ+nfsgNfGxoY3I6yjo4Ndu3bBwsKCsb25uRn/9E//hEuXLhFEztzcHIcPH14SkaMQFBSEtLQ0xjaKvFBVqydPnjA+M7FYjICAANy8eRO///3vkZ+fr/FcqMnJSaV23VxgZ6bFYjF8fHwYA3GBxeshOzubt7eOglwuJ8icm5sboqKiCKMASt7Llj+zoUpmqQiKiH/b0NfXJ8wU+CAWi7FixQr4+vrCwsKCd/9VVUhLS0vR3t4OgUAAMzMz+Pn5ISUlBbt378Yvf/lL/OpXv8LevXuxatUqtWbQyWQylJaW4quvvsKXX36JFy9eKD3n2J+rnZ2dxiTFwMAAu3btwpo1azSWAYpEIqxatQpHjhxROUqAHUgrk4/q6OggLS0N+/fv5/xMGxoa8Kc//Qn//M//TJACKysr7Nq1iyCL7MqpJpW5np4eXLhwQWnlmH3cKRn58+fPl2yc0tjYSLhBRkVFEfd6b29vYl16+vQpcczlcjlRlTMxMaEr/GylQk9PD2ePJ3sfFeHn56e0X8/AwAB79+5VSRIBMByTlcHDw4NQr1DHnZo5yE7KRkdHE1JiLX6c0JI5LbT4DmBhYYG1a9cytk1MTBAz0riqcnK5HK9evcK9e/fw+9//HidPnkRZWZlKQxM2mpub8Yc//AFXrlxROr+J/d5siWVQUBAR8FhaWmLFihWMbS9fviSIILC4wLPlkYrkjapksKVSExMTOHXqFE2q2FUOW1tbRp8eNSftD3/4A3JycngDfnVs4YeGhnDixAlOaRWgul+ODSMjI+zZs0ftwayrVq2iKxazs7NLDoxiYmII8iKVSnHhwgVUV1cTn5dEIsGpU6dQWVmpdNbe5s2blVYunz9/rlGFhk0g7OzsIBQK4ePjQ+z/5OQkLl++rDTIHBwcJK4X6vxKSUkhZEwzMzPEfEA21JFZUpifnyeqoqogEolgYmICe3t7eHh4ICgoCDExMUhOTkZ6ejq2b9+OgwcP4tNPP8WvfvUr/OM//iN+85vfcFaluAhKVVUVbt26pfRcmpqaIo7Bzp07CZJw48YNXomlsbExvLy8sHLlSuzYsYNznhsf+vr6cP/+ffzHf/wHsrOz0dbWRpBoTfvl2KCk7h0dHdDR0eGcBcoHV1dXfPLJJ1i5cqXKvj5A/cqcIjw8PPDpp58iJCSE+B3XGmBkZIS9e/dyEtqlyiyHhoZw9uxZoh9PEcbGxvj4448JQiGXy5GTk4Pr169rbJoyNzdH9IMbGxtj9erVxHOp6pwixsfHUVFRwdhWW1tLJIuSk5PpZKu3tzdBnpU5xY6PjxPrqTpJC5FIhA0bNmDdunVKEwgtLS149uwZOjo6lMqYKYmvIrq7u/H69WuUlZUR93ZHR0ciJtHixwutzFILLb4jREZGoqmpSanxByV3kMvl6O7uRn19PRoaGjSWKvFBJpOhrq4OdXV1cHFxwfLly5W6fr1584aQGvG5aiUkJKC6uprRe5KTkwMfHx+Gs1xnZycjIBMKhYRjJTUr7fTp04yFcnR0FKdOncKhQ4d4++VmZmbw4sULvHjxQqk5xLJly5CYmAh3d3f827/9GyNQSU9Px/Pnzxn/++joKE6cOIH9+/cTA6WVOVnywcrKCrGxsWr1n1y9epXxs0AggL6+PgwMDOiHqp+pbSkpKZiammIEOXNzc7h+/brK/VCEp6cn4uLi4OHhgeHhYaXJhYWFBTx58gQbN25U67XZZE6x4pGcnIyenh7GdfTy5Us8evSINzhhB/wmJiZ0ZVQgEGDDhg2YmppiVADGxsZw9uxZHDp0iJN0q1uZm5+fx7lz59QaiZGcnIyQkBAYGRlBR0dH4yrRs2fPiKDN0tISR44cwZs3b4jKSmVlJUQiEdLT0znfi69CumbNGty7d4/ePjExgfv37xOVUzYmJiYIiXV6ejr09fVRWVnJO19OKpWioaEBDQ0NMDU1RWhoKMLCwmBubk7cB7jI3NzcHEZGRjA8PIyRkRH6MTw8jLGxsSUnR1JTUzWSqC2FzAGLFdesrCx4eHiovE737NlDVP0pLIXMjY+P4/Tp0yor8qampjAzM8MHH3yAGzduEEnAmpoaDA0NYefOnfToB1V4/PgxsfatW7eONwnm4eGBZcuWMa73goIChIeHQ0dHBxKJhDBusbGxYSRzhEIhIiMjGc+rq6vD2rVrOd+XbXyir6+v1IFZEVTf5vz8PK+hTF9fHyNZaGFhAUdHRzg4ONBfqf0KCAjAo0ePGGvw5cuXic9OX18f27Zt0xqe/DeC9pPUQovvCAKBAJs2bcIXX3zBSzLm5ubw4MEDNDQ0qC0HtLe3R2BgIIyNjYlKn5eXFxE8UaDc5czMzBATE4OIiAhisWIHhlZWVrxVJx0dHaxbtw6XLl2it01MTCA/P5/RhM8ms66urpyyTz09PdqJUXExGxoawunTpwlrZWtrazx69AilpaWYm5vj3EdgccFPTEykg76RkREi4+zr6wtfX1+cPn2aIbebmJjAN998g3379tEEQyaTEWROWWWOsqsvKSlR6bDIB7lcTg++1RQ6Ojq8tu2qIBKJEBwcjLi4OAZhZQfhVDVG0ZWtsrISy5cvV4voKiNzQqEQW7ZswVdffcUIWoqKiuDs7MxpPMA2P3Fzc2OQF5FIhG3btuHkyZMMSVVfXx8uXbqEPXv2EIGPOpW5hYUFnD9/nnNgPRfy8/NhZWXFmzBRhubmZjx69IixTU9PD7t374aBgQG8vLywY8cOXLx4kUFEy8rKIBKJOCsEfBXS6OhoNDc3M3p0ampq4Ovry3n8KVRXVzOOm46ODkJDQ2lDptHRUVRVVaGqqopzsDiwSC4KCgpQUFAAHR0dQpI8MjKCvLw8BnnTVBqsLo4fPw4HBwdERUUhKChIpXx9KWROLpejq6sL1dXVDOMkLnh6esLR0ZH395qSOapCzf4sPDw84OjoyDCRogiajo4Otm7dCjs7O2I25ps3b/DVV18RVvxcePPmDdEvSM1W5QNVnfvmm2/obZOTkygtLUV8fDxKS0uJ5OTq1auJazc8PJwhOafu2ZQrqCLYEksfHx+1qrTAYqLnyZMnxAw6ZaASEYpk2dLSkiZ2Dg4OjM+LKxGcmZnJS/i1+HFCS+a00OI7hKmpKdLS0nDt2jXO37OzmXyws7NDYGAgAgIC6MwwO/ASCATYs2cPhoaG8OLFC1RVVXHKXMbGxpCTk4MnT54gLCwMy5cvh5WVFWQyGbE/ymY9AYu9Ap6engzCVlxcjLCwMLqaxdcvxwUDAwPs378f33zzDYNUcZGgBw8e8L4OsCifWblyJWFswZZIGhgYwMTEBAKBAIcOHcKZM2cYFYrp6WmcPHkSe/fuhYuLC0ZGRoiAkovMjY6OorS0FBUVFd+rnfzCwgKxv6pgYGCAqKgoxMTEECMUABBmAh4eHli1ahXq6+vp96J6Vfbs2aP0vWZnZwmHV3YvkqGhIbZv344TJ04wKk03btyAra0tQ67M1S/HVb3R1dXFnj17cPz4ccb7d3Z24saNG9iyZQvj3FdlgEIROTaRNDQ0xIEDB2BpaYns7GxGNVAmk+HKlSuYnZ1Ve0QCsDgHkl29BRYHRSseCx8fH2zfvh3Z2dkMQvfixQsIhUKiZ4xdmaMkdIqJKcXEye3bt+Hq6sp5jsjlcsJcJzAwkEGAzM3NkZycjKSkJHR2dqKyshKNjY28Elqu85jdD/Vt4+3bt7h16xYePnyI0NBQREdH85pYKRtNwMbg4CCqq6tRU1OjdmKvvb0d09PTvCRNk9EEVEWZnTRzdHTEjh078PDhQ8Z2xc9cIBBg5cqVsLW1xdWrVxnJssnJSZw4cQIbN27kHR0gk8mImXJisRgZGRkqq9XLli0jnB0LCwsRFBREuLK6urpy9iGbmJjAz8+PQdTKysqIOX/T09PEvUUdiSUAtLa24s6dO7xJC00wPDyM4eFhzrYGNuLi4uDr6/vO76nFDwvanjkttPiOERwcrPYNXxG2trZITk7G3/zN39B9GooSH3a1RS6XQyKRwNraGhkZGfjlL3+J1atX80pcFhYWUFpais8++wznz5/H06dPiT4zVRUDgUCAtLQ0RqZTJpPh/v37kMvldKZcEaqczoyMjLB///4lZxL9/Pzw4YcfYs+ePZwOhVz9btSCbWRkhIMHDxJ9dXNzczh9+jQ6OjqIvzcyMqIDG7lcjs7OTly8eBF//OMf8fz5c42InLOzM6ysrGBkZKRWE/z7hqWlJdLT0/F3f/d3WLVqFWeQLpPJiMqcu7s7TExMEBcXx9je2tpKED822ARCKBRyVvOcnJywfv16xrb5+XlcunSJETwODQ0R5zGfDMrIyAj79u0j+v/q6uqI4FWZzHJhYQEXLlwgjguVnLCzs4OOjg527tyJ4OBgYj/u3LlDzBrjw8zMDC5cuEBUl1NTUzn70/z8/Djn8xUVFeHx48eM92R/Foqk2szMjBioPDMzw9uH9+rVK4Kk8xlACAQCeHh4YOvWrfjVr36F9PR0leYi7wp9fX04ODggMDAQ5ubmnM9RZnU/NzeHkpISfP755zh58iQaGhoY5E0ul6skc9PT0ygpKcHRo0fx+eef49mzZxobNt25c4fz+HMlcfhIn1QqRXZ2NmHQRc2t1NPTIyo+XCYtvr6+OHz4MHHvlkqluH79OjHjj0JJSQlx7iUmJqq9BrB756anp/H73/+eILPKDG/YyZSBgQFC0tvc3ExUmpUlJ4G/9PieO3dObSJnaGiodrVPGVxcXDj7DbX48UNbmdNCi+8YFOHhG4isCGtrawQGBiIwMJDo02KDSzo3Pz9PN3YbGBggISEBcXFxaGxsRHFxMa8RSktLC2HTbWtrq3IfgMUFPz4+niHB6ejoQGNjIxFUGxkZqTQLARYDhb179+Kzzz5T+VwKgYGBWLlypcrXV9Xvpq+vj/379xPB+cLCAs6dO0ccEzs7O8zPz9NSSnZmWxNs3LiR3h9qoPTs7CwtsVR8KG5nP0eZcQEfUlJSkJCQoJJE9vb2EgSVstJesWIFysvLGf10OTk5+Oijj9R2T7Szs+MNZCIjI9Hd3c0YgjswMIBbt27RlTR25tzY2FjpAHgLCwvs2bOHGLReXFwMU1NTmqDyySwlEgkuXrxIkFZ9fX0cOHCAYRAhEomQlZUFfX19YlD748ePMT09jbVr1/IeK5lMhsuXLxMkKTg4mDBDUERAQACysrJw7do1xv/x7NkziEQiJCcnY35+nnC/Y5tbBAcHo6mpiXEva2lpQVVVFcLDwxnPZQ9CtrKyUst8yMDAAEFBQZDL5SqdNVXB1NQUFhYWsLCwgKWlJeN7qko1Pj6OL774gvF3+vr6+PTTT2FqaoqpqSlUVlairKyMNxjv6upCV1cXjI2NERERgcjISM4qmEgkgkQiQWtrK6qrq9Ha2spJbhQhEAjg6emJkJAQ+Pn54ZtvvmFIgxsaGlBXV0ckCbikplxkTi6X4/r164Q839TUFPv376f/hk3m+JKE1DD0y5cvE8mN58+fo7+/H1u3bqUl/mNjY4Q808bGRun5zIazszN8fHyINUwR/v7+Ss8/d3d3WFpaMq6tsrIyhsEQew338vLindcml8tRUVGB3NxczoSeSCTCypUrERoais8//5yhovHx8cGGDRswMDBAu2u+ffsWfX19Gs2l3Lhx43shhVr88KAlc1po8T1AWQO4WCxGfHw8TeDUNUHg6teYm5sjqgwikQhBQUEICgpCd3c3iouL0dDQoLIK0N/fjwsXLsDFxQUuLi5wdHTklQmtXLmSkAc9ePCAMAvw9PTk/f/kcjmGhobomUB85ghshISEICEhQS3iCajnRElJ8LKzsxkBglQqJTLIHR0d+P3vf/9epJQFBQW0pb1AIICenh709PRgZmam0etIpVKC4E1PTxM9lopobm5GQkKCytdmkxYrKyt6/3R1dZGSksKQTPX29qKmpoZXYsUO2LmGxVMQCATIyMhAb28v43Osq6uDs7Mzli9fzjmSQNU1RUnJzp07xwiuHz58CBMTE5pcsPdFIpHg0qVLhJSYi8gp/l1aWhoMDQ3x9OlTxu+Ki4sxOzuLjRs3cpLqnJwc4vg7Ojpi48aNKv/H4OBgyGQywlDj6dOnnKZEAoGAuDao4//q1SsGYb9//z7c3NzoSsrc3Bwh2Q4PD1e6j5Q8trKyEg0NDRo5Idra2sLNzY0mbJaWljA3N1fZo0YRGfa1m5GRQVeejIyMkJCQgPj4eLS1taGsrIywzqcwOTmJ/Px8FBQUcFaDHz58iJcvX6p1r7Czs0NISAiCg4MZ68euXbvwxRdfMKpOd+/exbJlyxjVMnZVijJRYv//9+/fJ+R6BgYG2LdvH+O+oy6ZAxZJ4969e/Hw4UOiD66trQ3Hjh3D7t27YWVlhfv37xMVRMWZcuoiOTmZl8wJBAKVFSqBQIDIyEjk5OTQ2xoaGrBu3ToYGRlhbm6OuPb4FDcDAwO4ffs2rwnSsmXLsGHDBlqeGxUVxeijq66uRkJCAuzt7WFvb09XtKVSKfr7+xkET1nC430McNfihwktmdNCi+8JmZmZnM5klpaWiI+P19ikQiwWQyAQMIJMZUYgwGIGc9u2bRgbG0NJSYnKfq7m5mY0NzcDWKxEODo6wtnZGa6urnBxcaFleLq6uli7di0uX75M/+34+DghGWJLUmZmZtDR0UETuKX0E/j4+Ki9aC0sLBDVB75KHjUy4dq1ayp7G/mOoa6uLsLCwjAwMECQ0/T0dExNTTEC+rq6OiQlJb3zIiwSiWBkZMQg9oWFhUr/pqenB4WFhcQoADbY/4eHhwfj5/DwcBQXFzN6Hh8/foyAgADOLDY7GFFm6AAsSpt27NiBr776inG+P3z4EA4ODkTPmrrW9Z6enti0aRNxjV67dg1GRkZEBUUmk+HSpUtEYK+np4f9+/crlQkKBAIkJyfDwMCAsGKvqqrC7Owstm7dyiAjVVVVhHGCkZERdu7cyVsdYCM0NBQymQw3b95kbM/LyyMSBjY2NpxkyMjICBs3bsSFCxfobfPz87hx4wYOHjwIgUDA6J2k/l8+Mj85OYmqqipUVlYSFUd1IRQKkZqaqvZxoPDixQvifA4ODuaUl1OjMnx8fDAyMoLy8nJUVlZyVsAouTUb1L2UD0ZGRggODkZoaChvUsPExAQZGRmMe+3s7Cxu3ryJvXv30oSZa2A4m0wXFBQQZEtHRwd79uxhJMekUinhXqvKoVIkEiEtLQ12dna4c+cO4/oZGhrC0aNH6UqvIsLDw4lxGxKJBFNTUyoffPD19VXLhTQsLAyPHz+mq19SqRRVVVVYsWIFWltbGVUxoVBIyJolEgkKCgrw7Nkzzoqrvr4+1q5di7CwMMZnkZCQgPLycka/8dOnT7FlyxbG34tEItr0JDIyEnK5HKdPn+Y81371q19p7I6rxY8HWjKnhRbfE0JDQyEQCAgzlP7+fly9ehU7d+7UqE+KqtwoEgl15XVmZmZYs2YNkpKScO7cObXc92QyGbq7u+nqHrBoYODq6gpnZ2e4uLjAzc2NCKYV4e7ujpcvX9LkTd35d8pw+fJleHh4ID09XeWCzWWkosxtUSQSYcuWLdDR0SFkY8pgZWWFmJgYhIaGcrq0UQOsZ2dnUVRUxPjcCgoKVFq+a4r+/n7CCtvU1BQCgYBBoJ88eQJfX1/eYyKRSIhsMyWxpEAZa5w/f57eNj4+jhcvXhCVv7m5OWJYtzq9UpaWlsjKymIQCplMhhMnThDPVdc2HFi8RicmJhgukTKZjPE+FK5cuUKQD4rIqSKkFJYvXw59fX3cuHGDkZRpamrCuXPnsHPnTujp6eH169eEQYRIJMLOnTvVHhpOITw8HFKpFHfu3GFsZydSlFVIfX19ERYWxrgmXr58ieLiYsTFxRHGJz4+Poz+S5lMhra2NlRWVhJ9SEtBb28vbt68SZjWKMPAwABhnkIZVqmChYUFUlNTkZycjIaGBpSVlRH9VepCLBbDz88PISEh8PT0VGsNCAwMRFNTE6Oi1t7ejvLycrr3S5WTZVlZGXFPEAqF2LFjByFH5JrZqe64gYiICFhbW+PSpUsMwjU3N8c5z212dhYXLlxgkLSlyMYV0dTUhIsXLyIiIkLpMTY0NERgYCBqamrobeXl5YiPjycklh4eHoxKZ2dnJ+7cuUMkCykEBwfTVT42jIyMEBMTw0i41dbWIiEhQen6VFhYyEnk/sf/+B9LdjDW4scBLZnTQovvESEhIfDx8cHXX3/NCGJbWlqQm5ur8VBPXV1dBplTVZljY2pqipANaoLR0VGMjo4yFj9l+Oyzz955YeZCR0cHvvjiC8THx2PlypW8GXq2xNLKykplNn94eFjtjL+3tzdiYmJoOenc3BxRBdHR0cGmTZsgEAhgYGCA5cuXM1zXamtrkZiYqNE8K2WgzAfYvRZbt26FSCTC119/TQfTlAzv8OHDnDKn169fM+RvAoGAkyx5e3sTxJ6a/6QYzLA/D4FAoNYoA2CRUCQkJDB6NdkwMjLS+DiuWLEC4+PjjJ42rnOWTeR0dXWxb98+jYZQA4sEUl9fH5cvX2Yc287OTpw6dQobN27EpUuXiM8vIyOD0+BHHURFRUEmkzFmx7GhjMwBwPr169HZ2ckggY8ePYKZmRlhpEHN9RoZGUFlZSWqqqpUztIUCoXw8/ODpaUl8RknJyejtraWETjX1dXBwcFBrV4rqVSKq1evEsd08+bNSh0f2RCLxQgJCYGTkxPy8vLUdidWxPr16xEYGMg7S40P6enp6OrqYhCthw8fwsPDA5aWlkrJXH19PUHmASArK4vToIqtsBCJRBodJ1dXV3z44Ye4cOGCyvVGnd7ypaCpqQlNTU0wNTVFWFgYwsPDOY1vIiMjGevZyMgIWlpaiAo8JbGcnp5GTk4Ob7LP3NwcGzZsUGmUQo1SULzXPH36FNu3b+d8fldXF9FraGRkhI8//lhL5P4KoCVzWmjxPUNfXx+7d+/GsWPHGH0NRUVFsLa25nV84wL7pq0JUZJKpbhy5YpKAmhnZ0cE3UuFOvtnYmICT09PeHh4wMPDA8+fP8fz58/p31tbW8PMzIzoU5JKpSgoKEBtbS3Wr1/PacesTr8c8JfKQUlJidKh7xSWL1+OmJgYwmgjJyeHqHikpqYyXNpiY2NRXFzMkNg8e/YMmzdvVvm+6uDZs2eElDEuLo6WMsXHxzMywm/fvkVhYSESExOJ1+Lq1+IK6gQCAdauXYuvvvqK3jY/P4+nT58yHBHZ+2Vra6uRVC4lJQU9PT28jpnq9Mtx7fv69esxNTWlcs4XBYrIqWPwwQVfX1/s27cP58+fZ1yPPT09+PLLL4nnu7u7w8bGBh0dHZifn8fCwgLm5+fpB/Uz33bqoQwPHz5EX18frK2t6YeFhQVN8vX09JCZmYmTJ0/Sf0O5IipCT08P8/PztBusKlhbWyM8PByhoaEwMjJivD6weH+geoyPHTvGOF65ubmws7NTGTg/efKEIBXLly8nJMPKMDQ0RA82f5eE2O3bt3Hnzh0sW7YM3t7easvGDQwMsHnzZpw9e5betrCwgOvXr+PQoUNEzxxF5jo6OjjHWqSlpfG6F3P1y2l6XVEDxk+cOPHOxjbvgvHxceTn5yM/Px+enp6IiIiAr68vfV67uLjA1taWoeK4ePEio3osEAjg6+uLmpoaPHjwgFNqKxAIEB8fj6SkJLXuaYaGhoiNjUV+fj69jTq32ImVyclJXLlyhdinrVu3ql0x1eLHDS2Z00KLHwAsLS2xc+dOnDp1iqGtv3PnDiwtLdWWhrFNUDSpzD1+/FilzNHAwACHDx+mJZbU4PHu7u73VmETi8Vwc3ODh4cHPD09CRMYtjTSz88Pq1atQkNDAx48eEAEGqOjo7hw4QJ8fHywfv16BnFS5WQ5MzNDO9exRyrw4Ze//CXnAtrR0YHy8nLGNjc3N0RHRzO2GRoaEhKb6upqjay5+dDb28sIDoDFYHnVqlX0z5RxgKIL59OnT+Hr60uQXXYwzpZYKsLBwQEhISGEZImaawgoHxauDhQHinNZutfX16OjowNisZh4iEQipds0OfYeHh7o6upCR0cHpFIp4yGTyTi/59qm7vXb2dmJr7/+Wu39WyoUXUOBxeNtYWHBIHguLi5KJYZzc3O8czYp6OjoIDAwEBEREXB2dqav/87OTkK2nZCQAB0dHVhbW2PLli0MOa9cLsfly5fx4Ycf8jqYvnr1iugftbGxQWpqqtJ9BN4fgWODGhTe1dWFnJwcWFpa0v15rq6uvGYgXl5eiIyMZNxnXr9+jefPn3P2zL158wYXLlwg+rmSkpI4B2RT0MT8RBlaWlp4ZYjqQCgU0r3A1MPQ0JD+/tmzZxr1Xba3t6O9vR1GRkYIDQ1FREQErKysEBUVhbt379LPY8uATUxMcPXqVd7khJOTEzZs2KCyus1GXFwcSkpKGGqbJ0+eYNeuXfTPMpkMV69eJaSvycnJSu/HWvz3gpbMaaHFDwSUo5WiDI8yVThy5IhSO3UKS63MtbW1MapdwCLBzMzMxPHjx+ltMzMzqKqqQnR0NDw9PemMt0wmw8DAAF69ekWTPHXJD7Ao4aLIm6urq1LXOb65cIGBgfDy8sLTp0/x4sULIkBpaWlBR0cHVq5cifj4eIhEIt7KXF9fH0pKSlBTU6ORix7AHdiokleyQS3i7Orcxo0bNdoXRUgkEly/fp1xXAQCATIzMxnHWywWY/PmzYTc8saNGwy55czMDMMSHSDNT9igBolTcjaZTIbc3Fzs3LkTwLuTubm5OTQ2NiqdzcWuUHwboCRc/90hk8kwNDSEoaEhlWYe6sDR0REREREICgrinJv55MkTxjZTU1OGcsHHxwcpKSmM3q/Z2VlcvHgRhw8f5kx2scczCIVCZGVl8d6D3ieBi4+PR3t7u0qlw/DwMIqLi1FcXAw9PT14enrCx8cHXl5eRM/V2rVr0dHRwbj/5uXlEfLi6elpnD17lnCOjI6ORlJSktL9UWfGnDJIJBI8ePCAs0eODVNTU1qOzX7o6+srdUNmu8Oqi6mpKVoBsmzZMgQGBhLmYorgMvcCFpOrq1evRlRU1JLmhOrr6yMuLo5xPjc3N+PNmze0fDs/P5/ok/P09FRpXKXFfy9oyZwWWvyAEB4ejoGBARQVFdHbZmZmcP78eRw+fFhlHwU7AFInsz85OUk49olEImzbtg0ODg7w8vJizBwqKipCZGQkY3ESCoWws7ODnZ0dXWmamJhAd3c3ysvLlUoTf/7zn6td9ZiZmSECCcVqmp6eHu0OdvfuXcLIRSKRIC8vj7Z6Zgf2Q0ND+Oabb1QawBgYGCA8PBwWFhaMXhO+DHVubq5KeaUijIyMEBUVxTgPqqqqsHLlSt6Bxqrw9OlTImhMSEjg7OlycnJSKbdkV0jEYrHKni0zMzPExsYyXrepqQmvXr2Cg4MDMZNPXTLX39+P0tJS1NTUfCs9mFp8e9DX10dISAjCw8OVVi46OzsJs52VK1cSpGvlypXo7e1l9Fr19/fj+vXr2L59OyP4f/DgAUZHRxl/n5KSQpx3SyFwRkZG8Pb2VmqUtGrVKqxZswZjY2N0HxZVzeXD3NwcvS/AogyQkmPa2tpCV1cXmZmZDPMfKtmmCC7yHRgYiLS0NJWSSfY9WNHMRhWGhoZw+fJltY/j9PQ0PD09Ne4H7evrU+qGbGpqiu3bt6O6uhq1tbW8a+XLly/VMgRjw8/PD2lpaRoTXTaWL1+O4uJixlr15MkT7N27F+3t7QRhNTExQVZWlta58q8MWjKnhRY/MKSmpmJ4eJix2A4ODiI7Oxt79+5VmuHTVGYpl8tx7do1wsZ5zZo1dEBDzVOiMDIygsbGRgQGBip9bRMTE/j7+xPSLDbu37+vtnMnWxYpFAo5DS1sbW1x8OBB1NTUICcnh/j/hoeHiUoZAMLNjg17e3vExMQgKCgIOjo6RBM81wLa2dlJZKCXLVtGyCvZoBrgqcqgTCZDYWEhMjIylP4dF968eUNIyezs7JRm4FXJLdmSIlUVVQoJCQmoqKhgBCcPHz7EunXriJ4PZQPfJRIJGhsbUVZWxju/6a8JOjo60NXVpb9SD1Xbqe/FYjHOnz9PVGoUERkZiaGhIQwODnI6GmoCNzc3REREwM/PT2UPkVwuJ5wWzczMiMHkwF+qzUNDQ4z7RWNjIwoKCuhkRFNTE+Gy6erqShumUASuvr5e7R5hIyMj+Pv7IzAwEK6uroSkmQ9mZmaIjo5GdHQ05ufn0dnZiZaWFrS0tKg8zpTU/fHjxzAzM6OJ3fLly/HixQu13h9YrOaoSwKWKrOsq6vDrVu3NEq4SCQSnD9/Hh988IFGI1pUVcbHx8fR39+PjIwMrF27FvX19aioqFiyCykFExMTpKenw8/P751eh4Kenh5WrFjBWJva2tpQX1/PkH4Ci+f+tm3bOB0ytfjvDS2Z00KLHxiovp/jx48zgoiOjg7cv3+fYRjBBpvMqVo0CwsLiaDcx8eH0S/h5uYGBwcHhgTu+fPnCAgIULnwv379WqX8qqWlBXfv3kVGRobK12OTOWtra97+EWqWla+vLx4/foyysrIlWZ4LhUL4+/sjJiYGLi4ujH3kGhytiLm5OWIwtzJ5pSKMjY0RERHBGGNQWVmJlStXapTtpUwQ2FKyzMxMpYN4Vckt2dIedfsz9PX1kZSUxJin9ubNG4b9P7D42bLPZwAqZ3opg4eHB1auXAmJRAKJRAKpVEp/z36wfyeVSvHq1SulwbWenh4cHR0hFAohEonoh+LPyn7HtY36/LhgYmKCv/3bv4WOjs47Z+IfPHiglMgBiwSfqsLMzs5icHCQflAkb3h4mHOmliKooc3qGsS0t7cTjpgrV67kPX91dXWxc+dOHD16lNFvlJeXB3t7ezg6OuLWrVvE3yQmJqKwsPCdCByVlBoeHlbqrMoHXV1d+Pr6wtfXF3K5HG/fvqWrdmxZMxtjY2MoKytDWVmZRrI+Jycn7NixQ+3B3JrKLBcWFvDgwQOiZxhYvM+okrLPzMzg7NmzOHz4sNpVQDaZi42NRU9PDyPxU1hYiLCwMOjo6CAsLIyeAVpRUYHq6uolSbInJiZw69YtPHr0CAYGBjA0NISBgQHv99RXZYmwmJgYFBUVMZKSinMFKaSmphIz+bT464CWzGmhxQ8Qurq62L17N44ePcq4gZeWlsLa2pq3OV2Tnjkqm6sIExMTbN68mREYUi5cV65cobf19PTg5cuXSo1Z5HI5EaAbGhpiz549OHPmDCPIKi8vh7m5OTF3jA113ScVoa+vj/T0dISHh+POnTtqz7IzMjJCZGQkoqKieDPPqsgcl7xy9erVavU/Aou2+OXl5YyhtYWFhWrNvqKQl5dHzG5LSkpSqxmfT2557949wrhAE+e/qKgolJSUMMwJ2FImRambTCZDa2srysrKGFViLggEAvj4+CAqKgodHR0MqSrf6AR1MD4+jqNHjyp9jre3N7Zu3bqk1+dDTk4O7+8mJiYwOjqq9vgGPjQ0NBADyI2NjQni2tbWRo8V0NfXh7OzM0HIpFIphoaG8MUXX/C+n1wux/Hjx5GYmKiUlFHPZffKmZub0/vBB0tLS2zbtg1nz55lXKdXrlyBsbExkQiYn5/HmTNnlL4mBT4Cp7jP9+7dUyqXpJ6nDAKBAI6OjnB0dERycjImJibQ2tqK1tZWtLe3KyXfqgg1BWtra+zZs4czccIHdn+Yssrc0NAQsrOzOcmxtbU1tm3bhmPHjjEI3b59+1BcXMy41kdHR3H27FkcOnRIpdX+yMgI8X5+fn7w9PRkuH0ODw+joaGB4dppY2ODdevWYfXq1WhubkZFRYVarquKmJ6e1jjRpKOjw0nyqO9NTU2VDkL38fFBXFycRu+pxX8faMmcFlr8QGFmZoZdu3bhm2++YQQF9+/fh5WVFafdtroyy9nZWU4r4y1bthDDZAEgICAAjx49YvSXPH/+XGlg3N7eTgToK1euhJOTE3bv3o1Tp04x/q9Hjx7B1NQUISEhvK+pyn1SGezt7REfH09YpXMhMzMTQUFBKjPVysgcn7xSmUscG1Tzv+LrlJeXIyEhQS1p08uXLxlkBlg0mVBFmhXBJbdkZ9gNDAw0cmoTiURITU3FpUuXeJ9jb2+PyclJVFRUoKKiQmn/C7BIPsLDwxEZGQkzMzMAZDKjp6cHcrlc4yrW/Pw8zp8/r1LyVl9fj+Tk5Pc2E3B0dFSlVK66uhpr1qxZ8nsMDg4S1WORSITdu3ejoKCAUeFobW1VSaJEIhGRPOACZVDR2tqKrKwsXgldW1sbkYBJTExUq4rk6emJ1NRUBiGen5/XyOGQgioCp4impiYi6eDj44OWlhaN31cRJiYmiIiIQEREBCQSCbq6umg5pqrrgwumpqbYt28f5z2fD3Nzc8R1xXcvqq2txe3btzmTiqGhoUhPT8f09DRRmbO1tcX27dtx8uRJRjWyt7cXly5dwp49e5R+/uyqnKGhIa2qYKtMCgoKaIMTRYjFYgQGBiIwMJCeh6g4//N9Y2FhAQsLC0rNm/hgbm6OzMxMbZ/cXzE0t9fRQgstvjM4OzsT88Xkcjmys7OJhnZAvcqcXC7HzZs3icU/MTGRl5wJhUIi69fa2kqQK8X3YFflzMzMEBUVBWCxN2XLli3E3924cYOQ7ym+5lLJ3MDAAM6cOaMWkQMWyQrbGIFvnxRBLabz8/NET55YLFZLXslGQkICI3CUSqWE8ygX5ufnOYP0zP+fvfcOiiPN0r2fqsIb4b333grvQQgkJOQtUnerp7vH3J3Y3VgzG7tx792Ib+PObsxOrJmdnWmnbnnvLUJCOAHCCisECOG996bc9weRuZX5Zjmknhl15y+CEEqKJKsqM+s87znnOXv2aFWCRZVbqjpud3d3rd3a/P39VZoaVFRU4N///d9RVFSkMlB1d3fHgQMH8Jd/+ZfIyMighRywLlwVWV5e1splFfifvlK2YYO7uzv+5m/+hrGAIpfLid7Et6GwsJCx4EENzlakublZ4ywMm7W1NVy5coW4T2zfvh2Ojo7w8fFhbO/q6lKbbQJALGK4uLjgz/7szzjNdqjZedXV1cT1xNUrZ2FhoXLBh01UVNSGTSgoI6KPPvoIf/VXf4UdO3aoPdfX1tYYJcTA+kJDenr6ho5BGTo6OvD29kZOTg7+4i/+Aj/72c+wZcsWrYxCFhcX0dfXp9X5w7WgwRZzYrEYd+/exY0bN4hzS1dXF7t378aePXugp6dHfI7p6+vDxMQEenp6yMvLI0yi3rx5gzt37qjMarJL+319fSEUCiEQCIiFrLGxMbUi28LCQuW81404Vb5L9u3bp9XQdp7vH3xmjofnT5yQkBBMTEwwmulXV1dx8eJFfPrpp4xVVU0yc3V1dQynN2A9Y8Q1FFqR8PBwFBcXE4PNuYZZt7a2EsFvWloaoy8gMDAQWVlZKCgooLfJZDJcvnwZH3/8MVFCOTc3RzwfdWWWKysrKC4u5gwUVdHf34/PP/8cGRkZiI2NVfphrUzMPX78mBCDmZmZGpdXKmJmZobw8HDU19fT22pra5GYmKiyf+TJkyeEcElPT4eNjY3Wx+Dk5ITExESlPUAmJiYYGxujXw+uf7m2BQQEKDUcUNebFh4ejqioKJWmCGZmZjAyMmKUPA0NDWn1PhQWFhIr/ZaWljh06BAMDQ0RFRXFENeNjY1ITU1liMqNMDg4iJaWFsa26OhoREZGMo5nfn4ePT09WpW5Auuv/927d4lgmpqvBYAQc6urq+jr61PZHzkxMUEsyFDv049+9COUlZWhpKSEce1IJBI8fPgQHR0d2LVrFy2+Ojo6iHEVqrJyYrEYo6OjGBoaor+4Fr1UoU0GjouSkhIiu5Kdnc1ZGriRHl4uBAIBzM3NsWnTJrUliIpIpVLcuHEDT58+RUJCAiIiItSaGLGfm76+PuNzhzLr4lros7GxwcGDBxn3IHYW19ramr6PGhsb4/jx4zh58iTjGm5qaoKpqSnnLEBKoCqiuAASEBAAa2trxt8tKyuDr6+vygUrVWMU/tf/+l8wNTXF0tISlpeXiX+pL/Z2xVaDt0HT3lOe7y+8mOPheQ9IS0vDxMQEbUcNrPcFXLlyBR988AEd3KgbTTA2NoZHjx4xthkaGmLfvn1qgxY9PT1ER0czRGVTUxPS09MZK99SqZRYTbexseFcTY+Pj8fs7CyjlGx1dRXnz5/Hp59+ytgvuwdCX19f6Yq7TCbDixcv8PTpU617FygkEgkKCgrQ1taG3bt3c5bOcYk5rvJKV1dXrcor2SQnJ6OhoYFeQZdIJKisrFRaXvfmzRvU1NQwtrm4uLxVT0VCQoJSMVdTU0P8ve8CR0dHREVF0W6i6qB6jhRL3oaGhhg9MqpoaGggMm0GBgbIy8ujV8KpmYCKrqMVFRVa9TWykcvljEUOYP18T0lJgZGREezt7RmLJU1NTVqLuZqaGkIs2tnZMYyITE1NibK0zs5OlWKOfe4bGRkhMDAQwHoGIzU1Fd7e3rh58ybRd9nV1YXf//732LFjB4KCgoheOUtLS/o+IpVKCeGmuKCgDW8r4CjGx8eJ3kMPDw8EBQVplOnXFplMhu7ubjQ1NaGtrU2tgY0yZmZm8ODBA5SUlCAuLg5RUVFKx+CocrJsamrCvXv3OI8jPDwcOTk5xHXLFnPsxSZLS0vk5eXh9OnTjP2Wl5dj06ZNxH21o6ODcQ7o6uoyrg0qO6doKjQ4OIienh6l57VEIiGcTxVpaWlBamoq9PT0tBodI5PJsLKyolYEDgwMKC2/3LdvH19eycOLOR6e9wHKbntmZobRQ9Db24t79+7R5Xuq3CzFYjGuXbtG9Cfs3r1b4zKkmJgYVFRUMALXqqoqhqhoaGggelLS09OVBkjZ2dmYn59nCNX5+XmcP38eH3/8MR1UcJVYcn2I9fX14eHDh0rnGJmamiIuLo4wljh06BAeP35MZLNUZenYgaNYLOYsr1RXpqgOc3NzhIaGMmZW1dTUICEhgbCh5hpQTh2DtkHq/Pw83ZOjrQnAu0IkEiEkJARRUVGcZXrq4BJzmtDX10c4HgqFQhw6dIgh7KlePUUxW19fj5SUlA1bhFOz9xShhBwAhIaGMs7vly9fIicnR2MTi/7+fmJRR19fH4cOHSKCbR8fH0LMZWVlce53bW2NmKvGle1xcnLCT37yEzx+/JhYBKD6eW/dukWUdG7atAkPHjzA8PAwRkdHNSr51ISwsLC36jsE1u8F9+/fZ5QsCoVC5OTkvNNgWy6XY2RkBE1NTWhpaXnrERGKLC4uorCwEM+ePUN0dDRiY2OJ7D+XmBOLxXj48CGn4NHV1cWOHTsQFhbG+Te5MnNsnJyccODAAVy6dIlxz3348CE9AoeCnUX39vYmzung4GAUFxczBHZZWZlSMffy5UuVi4LNzc1ISUnR+n0WCoUwMjJS2bM4NzfHmBmoyIcffqj1/D2e7yd8zxwPz3uCrq4ujhw5QvQnNDQ00CYXqjJz+fn5RMlRTEwM/Pz8ND4GY2Nj4kO5rq6OLhcRi8XEEFMnJyeVM3cEAgH27t1LfCiNjY3hypUrdMCmrl9ubm4ON27cwLfffssp5EQiEZKTk/Hzn/+cM4vh5+eHn/3sZ4iNjSV+RmXpTp06xcgmsMXc7OzsOyuvZJOcnMwIFsRiMZEFANYt5rkGlGtiykEFiiUlJfjqq6/wb//2b7h37x46OjrU2od/VxgZGcHPz4/of9MUtgAcGhpS2yM0PT2Ny5cvE4/LycnhDPgSExMZQpnKnG4EqVRKzDs0NzdnZCBCQkKIc0HdXC2KxcVFXL16lXhue/bs4TxP2aWWExMTSvsOW1paiGqAzZs3cz5WV1cXOTk5OH78OKeBBpdQ6+npQV1dHYaGhrQScgKBQKVBT0VFxVubWzQ3NxOGTwkJCVrNRlPF7OwsysrK8Pvf/x5ffvklnj9/rlLI6erqIjQ0lMhC6+rq4u///u9x+PBhpYsjq6urePbsGf7zP/8T9+/fZ7zfbDG3urqKr7/+mlPI2dra4rPPPlMq5AAQn0nKXi9fX1/k5uYS269fv06/7mtra+jq6mL8nOuzRyQS0fMEKbq7u4nxFxTsBQe2OJycnNR4CLo2LC0t4dy5c8RnipubG/7hH/4BHh4eGs325Pn+w4s5Hp73CFNTUxw9epT4MHn8+DHa29sJMSeRSCCTydDS0sLouQLW3QI3shrN/hBcXV2l3Q2rq6uJD/stW7aoXbHU0dHBkSNHCMHR3d1NN7srE3MSiQSlpaX47W9/i+bmZs79+/v748/+7M+QkZEBPT09wuLZyMgIQqEQurq62LZtG06cOEE03gP/k6WrrKzUyDTgbcsrFVEsMaOorq5m9DB2dnYSQZW7u7vKY5BIJHj9+jXu37+P//iP/8AXX3yB4uJijTNYbAQCAQQCAYRCIWNemo6ODnR0dKCrq6tRiSTF/Pw8Ll++jG+++YYIljWBLQLFYrFKt8WVlRVcvHiRWImPjY1VKkzMzMyI96ampmZDc6pqa2uJzPaWLVsYQZuJiQnhZtvY2Kh23zKZDNevXyeu0cTERKULLk5OTkTmgMswQi6XEyWWPj4+nNeRIl5eXvjZz36GoKAgtcevKTY2NggLC8P27dvxySef4O///u/xk5/8RGWm9OnTp5yLI5qwsrJClMWamZkx+pC57oHqSkJXVlZQX1+PU6dO4T/+4z/w9OlTlT2AAoEA3t7e2Lt3L/7mb/4Ge/fuJUoevby8oKenB39/f3zyySf48MMPlZboSiQS1NbW4r/+679w48YNjI2NEecOVd7KJiIiAp9++qnKHt3FxUXiGlH1+IiICKSlpTG2SaVSXLp0CePj44RBj0AgIBYjFPfFzjpylZEPDw8TIm/Pnj1EOWVTU5PS494Ia2truHDhAvF+29vb48iRI1rdQ3m+//CSnofnPcPBwQF79+4lbN2vX7+OAwcOEI8fHR3FvXv3GNt0dXVx4MCBDa3qWVpaIiAggGGiUlVVhfDwcOLD0NPTU+Nh0kZGRjh27BhOnjzJEFtNTU0wMTEhPtTs7Ozw6tUrPHr0SGk/io2NDbZt20YEK+xAnR2surm54ac//SkKCwsZQ7sBZi+dquf2Lsor2SQlJaGpqYkOAtfW1vD8+XOkp6djeXmZcxAy1zEsLi6is7MTHR0d6OrqUjtcnkIgEBABqIuLCz7++GOtnufQ0BDOnj2rlQHAwMAATp06BW9vb2zZskXjUQgmJibYtGkTo+dkaGiI0wmVEjvsc83Hx0dpaSFFUlISo8RwbW0NNTU1ao2FFFlZWeHMbHMJndDQUEb5aHd3N+bn51WOrCgqKiLMSdzd3ZGRkaH0d6iAWFEsdnZ2EhnsoaEhwqyEcq9Vh6GhIbZt24bOzk6Nz0UKKysrODo6wsHBgf5XWbmpup6yR48eQU9PT6VzIRdFRUXEAtH27ds3FHBLpVJ0dnaiqakJHR0dGmUgHR0dERISguDgYIZAEYvFKjNVAoEAHh4e8PDwwNDQEMrLyxnl7hRyuRzNzc1KF8sU0dXVxc6dOzVyHGUvqohEIrU9ZykpKZibm2MsTq6srODcuXNEZtnd3V2py6OOjg7i4+MZ5fbt7e0YHR1lGGuxFyhMTU3h7++PkZERRja3tbUVW7dufSfOlhKJBJcuXSJGclhZWeH48eNK+xl5frjwYo6H5z0kICAAGRkZjKHfYrEYN27cIB578eJFovRpx44dbzULKyEhgSHm5ufn8cUXXxDB+ZYtW7Tar4WFBfLy8nDq1ClG4MVlxV9QUKA0e6Svr4+0tDRER0dzOt+xxRzXir2enh62b9+OwMBA3L59m7OXTpkTI6DdcHBNsba2RnBwMCOoqqqqQnx8PPLz84lV86ysLJibm0Mul2NiYgIdHR1ob2/HwMCAxkYR+vr68Pb2hp+fH7y9vVFTU8MwuDEyMvpOhJyBgQHnY16/fo3Xr18jODgY6enpGr3Gjo6ODDE3ODjIOS/t0aNHxHwwW1tb7N+/X22QZmVlhaCgILS2ttLbnj9/jri4OI172crKyohMRVZWFufr6+/vDz09PVr8UAE3O3NO0d7eTiy2mJqaavTc2GKup6cHa2trjOfFDnrNzMzg7e2tcr/A+n2rsrIS5eXlGgk5Ly8veHh40MJN08BWLpcT+4+IiCAy2Xfv3oWenp7GJjnDw8NEGZ6vr69W5etyuRwDAwNobGzEy5cvNcroUtngkJAQpdmsrq4uRnm0qkyVo6MjDh48iImJCVRUVCQ04jgAANNoSURBVKCxsVHrkRebNm3CBx98oHFpKXvRxMrKSu25KBAIsGPHDiwsLDAyxHNzc4RJiKryfmB9saGsrIxxnykvL6fH5qysrBACdvPmzRAKhQgJCWGIufn5efT29mq8eKkMmUyGGzduEIsu1Gu70T5cnu83vJjj4XlPSUpKwsTEBKO8g2sUATvADw0NVdnDoAnOzs5wdXVlmDSw/05gYOCG+pyooOLixYsqBYcyIRcZGYmMjAyVH3pcZZbKUJWlU4aLiwtn7927IDk5mRFgrK6u4vTp00TPhqenJywtLfHo0SN0dHRoNSjZ3Nwcfn5+8PX1hZubm0YDmjVheHiYU8h5enqip6eHETweOHAAS0tLKCoq4uzRamlpwcuXLxEZGYnU1FSVYxocHR0ZPWVc505tbS3x/hoZGeHo0aMa270nJSUxxNzy8jLq6uo0chHlGhAeEBAAV1dXzsfr6uoiMDCQkQ1sbGzkFHPT09O4efMmY5tQKMSBAwdUvm4UXl5ejKysVCpFd3c3LViWl5cJZ0wq6FWGXC5HU1MTnj59qtWg5Lm5OQQFBWnlGkgdM5ukpCRYWFgwFsUA4ObNm9DV1VUryCjTE8X7lI6ODrZt26bRMU1MTKC9vR3Nzc0azT80MDBAYGAgwsLC6CHYqmD3Ubq5uakdEG5tbY1du3YhLS0NlZWVqKur09glc25uDl9//TUsLCxgbm4Oc3Nz+nvqX8VspSbmJ1xQ5+7p06eJ7JUi6t4/PT09xMbGMrLhLS0tSEtLg6WlJRoaGhjPXSgU0llbGxsb2NnZMVyWm5ub30rMyeVy3Lt3jxgdZGRkhA8++OCtx53wfH/hxRwPz3uKQCBAbm4upqenVWaIFLG0tEROTs47+fuJiYmE457isbGH5MpkMkilUkgkEvpf6kvx/9T3bm5u6Onp0fh4XFxcsH37djg4OKh9rLoySzZUli4gIAB37txRG3j19/fjV7/6FQwMDIgvfX19lf+ntikLhG1sbIgMEFfz/Zs3b7RyoHR2dqYzCjY2Nhpn2zR93PDwMM6cOcMp5I4cOYJvv/2WUaY3OTmJmJgYBAYGor6+HiUlJYQIl8lkqK2tRWNjI2JjY5GYmMiZqWEbPVBOiJRIffPmDR48eMB4jEgkwuHDh7USDfb29vD19WVkDCoqKhAdHa22pJlrQLi6zDbb4XRsbAwjIyOMElSxWIwrV64QCz1bt25VKhTZGBgYwNXVldGz2NnZSQfLDQ0NjAyQYtDLRU9PDwoKCoiyTE0YHx/H119/jSNHjmg1X4sr66erq4vk5GSsra0xspYymQxXr15FXl6eypEP9fX1hJhITk7m7BPkuk6++uortcctEong6+uLkJAQ+Pj4aFwaL5PJiN5GdZkqRTZt2oSEhAS6b05TVldXMTIyotQQxNjYGBYWFjA0NERnZyfjZ52dnSgvL4dYLMba2hrW1tYgFouJ/1P/shcQ2UxPT8PExETlYlRsbCwqKysZGe7y8nLs3LmTeN7+/v6MMuaQkBCGmGtra0NOTs6G2hfkcjkeP35MZIr19PRw7Nixd2akw/P9hBdzPDzvMTo6Ojh8+DC+/vprtXOMRCIRDhw4wJllkEqljA9K9vdcP+PKAlLI5XKcOXOGIdC0LdnRFFNTU2zduhXBwcEaCwtNyiy5cHd3x6effop//dd/VfvYlZWVtxoKq6enp1QIvgtnSV1dXXh5ecHX1xe+vr7fafmOMiHn4eFBN/NbW1sTYg5YP2+jo6MRFhaGqqoqlJeXE+eeWCzGs2fPUFdXh6SkJERHRzMyAOwMMTWjzNHRkR5yzM4C79q1S2Oxo0hSUhIjiF5YWEBDQ4PK/jFlA8LVlUK7u7sT/YCNjY0MMffgwQMisA4KCtI6c+zj40OIOeo1Ywe9gYGBnOfT5OQknjx5otJ5Mzw8HH19fSozyYuLizh9+jT27NmjsXEKV3aJOkcyMjKwtrbGyMxSxhrHjx/nPA+WlpZQWFjI2GZpacmZGZXJZEQ/qzpcXV0RGhqKwMBApX1fqujr6yPKNTUt/RweHsbz58/R0tLyzu/bi4uLxKIMhVgsJpxc34bTp09DX18fXl5e8PHxgY+PD3FeGhoaIioqilHK39DQABcXF2IOYnR0NOP/wcHBjONdWVnB69evtRLNFOXl5YQDrkgkwtGjRzfs5Mvzw4EXczw87znGxsY4evQoTp48qbLnRCqV4tGjR5xC7bsQWupWTd8ViYmJCAgI0KpvS5syS4rV1VXU1tZu2HJeW6j3RpsSNHWYmprS2bc/lK31yMgIZ2mlh4cHw5mV3fvGDqT09PSQnJyMzZs349mzZ6iuriZK55aXl/H48WM8f/4caWlpCA8Ph1AohIGBASwtLRkCYWhoCObm5rh48SJxbElJSRoZOHDh4uICd3d3Rla5vLwckZGRnNlWVQPC1SEQCBAaGsrIKrW0tNBGDPX19cTcN6qMTltjHh8fH0bgOjc3h7GxMSwsLBDCiy1cl5aWUFJSgtraWqX3Gg8PD2RlZcHe3p7IWKWkpKCtrY3RYyWRSHDt2jVMTU0hKSlJ7fPhujdSPX8CgQDbtm0j5uSJxWJcuHABH330EZHxf/LkCSGW2FmZqakpvHjxAg0NDRrNg6MqGkJCQrQuI2XDFsz29vYq9ymTydDe3o6qqiqtXGPd3NwwMzODubm5DQ1s/65ZXV3Fy5cvaWMXJycn+Pj4wNfXF/b29hAIBIiPj0dVVRV9P5HJZLh9+zZjPzY2NnBzc2NsMzMzI9oNWlpatBZzdXV1xMKAQCDAgQMH4O7urtW+eH6Y8GKOh+d7gK2tLQ4cOKC2z2wj1u5/6uTn56O0tBRRUVGIjo7WqAdIm8zc8vIyqqur8fz587fKtP2xcHBwoAUcFbz8oRgZGcGZM2eIoJct5ACyX4Yt5iiMjIyQlZWFuLg4FBcXo6GhgTjn5+fncffuXVRUVCAjIwMBAQFwcnJiiI7+/n60trYSQoQyF3obkpOTGWJuZmYGLS0tnAJR3YBwdbDF3MLCAt68eQMjIyOidFRXVxeHDh3S2JBFERsbG5iZmTFmGHZ0dBD9hzY2NnQmSyKRoKamBqWlpUqvHWtra2zduhU+Pj70ucnOPFtbW+NHP/oRrl69SpQOP336FFNTU9i5c6fKcjp2Zk4kEjHENVW2LhaLGSXMq6urOHv2LE6cOEE7oPb39xPlcEFBQfDy8oJYLEZbWxvq6+u1vt9SJjZisRj+/v5wcHDY0PUql8vR3t7O2KZMYKyuruLFixeoqqpSW93Bxs7ODidOnACwvlhIzdmcnp7GzMwM43tl2bg/NIODgxgcHERxcTFMTEzojF1QUJDK8QJRUVGc70VISAjj+m1vb8fq6qrGfbYtLS2E2zQA7N69e0MZPp4fJryY4+H5nuDj4/MnuTKqCdQMMh0dHXom2dzcnMaN90tLSygtLcWzZ88QEhKC2NhYlb1zmmTmFhcXUVlZiZqaGq3t0in27t0LmUyG1dVVuuxyZWWF+D/19V28f76+voiMjMSmTZve+b5VoUzIubu7c85KZJcUzszMQCKRKM0ebtq0Cbt27UJCQgKePn1KmAYA64Lw6tWrcHR0JEQ+V+Dm4OCAPXv2vLXg9fDwgJOTE6Ofijo3FfetyYBwddjY2MDR0ZEhqqqqqjAxMUFkLnft2qVyjpcqKCdExZLKuro6InNMlaK9fPkST548UdpfamRkhLS0NERGRhIijH3d6+rqwsDAAHl5eXj48CE915KioaEBMzMzOHTokNKSRPY1zDU2QCgU0rPZFEtll5eXcfbsWXz88ccwNzfH/fv3Gb+np6eHkJAQ3L9/H83NzSpL0NUxPj6O8fFxlJWVwczMDH5+frQRjqa296Ojo4QwYwuD6elpVFVV4cWLFyrvbzo6OggNDUVcXBxevXrFMItR7B8TiUSwtLRU6i67traGgYEBnD17VqPnEBAQAGNjY+jp6UFXV5fzX8Xvf/vb32q0X0UWFhbw4sULzoHniujq6io1DQsMDMTDhw/pjLNEIsGrV680Mhl7/fo1YUwEANnZ2W9tUsbzw4IXczw83yN+/vOfb+hDjY1IJFL6oan4/czMDOcAYYq8vDwYGBhwijXqe6FQSATPKysrOHnypMrhzlzIZDI0NjaisbERbm5uiI2NhZ+fHyMIkslkhMBQzMzNzc2hoqICdXV1b92b1tTUhKNHj2rkBimXyyEWizlFHiX+pqen1QYebEpKSlBaWgo/Pz9ERUXB09PzO8/OaSvkALLMElgvU+OaB6eItbU1Dh06hMHBQRQWFhKW3oBy51NFTE1NceTIkQ1lrdgIBAIkJyfj0qVL9Lbx8XG8evUKAQEB9DZNBoRrQmhoKOM5sscrAOtGD5ra7SvD19eXIeYUs3TAetBrZWWFb7/9Vqkpk0gkQlxcHJKSkpSOFWBfd9TrIRKJ6LEq7NLUnp4enDx5Enl5eZznElsgKnufRSIRDh48iAsXLjDOpYWFBZw5cwaBgYEM0wtgXagovtfvitnZWVRXV6O6uhqGhobw8/ODv78/PD09Vc6wY5dYmpubw9bWFnK5HH19fXj+/Dna29tVLh6ZmJggJiYGmzdvphe72CMYVM00ZLO4uMiZgVLGwsICdu3apfHoCXNzc4aAPXr0KBwcHNDZ2YnOzk50dXVpvDjIJigoSGmmzcjICN7e3ozPwZaWFrVirL+/H1euXCHKjlNSUhAXF7eh4+T54cKLOR6e7xGaGCaEhYUR4oy96qmpFX1ra6tKMdfY2Ij9+/drJR6owc3qhFxubi5aW1uVOjb29vait7eXznRERETAwMCAc4aTkZERpqenUV5ejoaGBpWDev39/eHj40MYGuzfvx+FhYWMgKKrqwt37tzRKNsjEAjo94IrizYzM4Pz58+r3Icy5HI5Xr16hVevXsHS0hKbN29GeHi4xqV82jA6OqpSyCkLovX19WFqasrotZycnFQr5iicnJzw4Ycf4s2bN3jy5IlWTok6Ojo4cuTIO81e+vr6wtbWFmNjY/S2srIy+Pv7QyAQaDUgXB3BwcEoKChQ2o/m4uKCrVu3ar1fNu7u7tDR0VG6yCEWi1VmXoKDg7Flyxa1/WDKxBwAusfJwsICN27cYATok5OT+Prrr3H48GGiv0mTzJzi3zty5AjOnTvHEKWzs7Na98wqm5fIxtjYWGUp4vLyMhoaGtDQ0ABdXV14e3vD398fvr6+hOBhl1j6+PigqakJVVVVaq8LBwcHxMXFISgoiPgcYPdBayrmRkdHce7cOY36Bin6+/tx9uxZHD9+XCMDGHbWUiaTwdTUFJGRkYiMjIREIkFvby86OjrQ2dmp0SgICsrES9nnYnBwMONzsKurC4uLi0rL90dHR3HhwgVCXEZHRyMtLU3j4+LhoeDFHA/P94x//Md/xOLiIn79618TP+vt7UVkZCQCAwPfyd9iD31l09raCmtra60+oAoKCjgHNysGxcB6IPHBBx9gbGwMz58/R1NTE6cIm5mZQUFBAYqLixEeHs45B6igoACtra1KV6oFAgGCgoKQlJQEOzs7PH78mPHzTZs2ISgoCA4ODvjmm28YPXlNTU0wNTVFZmamxq8Bm6GhIVy4cIEI9vT09ODh4UEEb0ZGRkRfIMXU1BQeP36Mp0+fIigoCFFRUXB2dtZYcKtazVcm5Nzc3FQKOQorKytCzGmLp6cnPvvsM7S1teHp06ca7UMikaC1tRXj4+OwtbWFtbW1ymBfE6js3PXr1+ltw8PD6Orqgre3t1YDwlWxurqK8fFxlSZGAoEA+fn5MDQ0VPmlbhFHV1cXHh4ehKW8OpydnZGdna3xKAGuMks2/v7++Pjjj3Hx4kXGOUOVRO7atYvRo6hpZk7x53l5eThz5syGRih4eXkhIiICcrmccQ4AIBxIgfUeKQMDA7S1teHVq1cqxQbVl9fW1gahUAgPDw/4+/vDz88PUqmUcC+tqakhsmqKCAQC+Pv7Iy4uTuX8uo2Iub6+Pk6TIQsLC7WCamhoCGfOnMEHH3ygduGJS8wpoqOjAy8vL3h5eWHbtm2YnJyks3a9vb0qr5+WlhYMDg5iy5YtCAwMJF4fPz8/6Orq0ueYXC5Ha2srZ7n01NQUzp07R7weISEh2L59+x+0p5nn+wMv5nh4vocYGxvj//7f/4u7d+8yyvLkcjlu3rwJqVSK8PDwt/477OyZl5cXBgYGGD0jJSUl9Gw0ddTX1xODk6nBzTdu3GCsko+MjMDHxwe2trbYtWsXtmzZgrq6OtTU1HCuAFPW41yDv9m28BRCoRChoaFISkqis54ymYwxtBsA3QtlZWWFo0eP4syZM4zgsby8HKamphsaJN7R0YFr164RwaiJiQmOHTsGS0tL/Nu//RvjNacGw9fW1qKpqYmzvEgqlaKpqQlNTU2ws7PD5s2bERoaqnHjPhtKyLFFpJubG/Ly8jQqX7SysmIYh2xEzAHrwWlgYCD8/f3x4sULlJSUqHVXVbQmB9bLPm1tbWFjYwNbW1vY2trCyspKqwHqgYGBKCoqYpRSlpWVwdraWqsB4RTUSIXBwUEMDQ1hcHBQ7YIKsB5QK5sJqYienh4h8AwMDBj/V5W1ZmNubo7MzEzOAFgZcrlcZWZOEQcHB3z66ae4cOECo/RRKpXi5s2bmJycRFpaGgQCgVaZOQqhUIiQkBCNxZyZmRnCw8MRHh5OZx+//fZb4piPHTuG3/72t4yA/sGDB/jZz35GZ1HHxsbobLqymW3A+v2oq6sLXV1dRC+fOvT19REREYGYmBjO2XhstBVznZ2duHLlCvF+2tnZ4fjx4/jNb37DuDft2rULhYWFjEWrkZERnDp1Ch9++KFKcyu2mFN1ngoEAlhbW8Pa2hrx8fFobGzErVu3VD6X6elpXLt2DU5OTti6dSsj86unpwd/f3/G50JzczMh5ubn53H27Fni88nHxwe7d+/mhRzPhuHFHA/P9xTKnU0kEjH6XORyOW7fvg2ZTKZysK8msANJanX3woULjAzOrVu3YG5uTgxvVqSnp4cIRhQHN9vb2xNiThFjY2OkpKQgMTERL1++xPPnzzXqleJCJBIhIiICiYmJRElYb28vEdSEhITQ3zs7O+PAgQO4dOkS4zXIz8+HiYmJVmV0NTU1ePjwIZENs7GxwbFjx2BmZgYAiIiIwPPnz+mfv3jxAunp6di5cye2bt2KpqYm1NbWEtlNitHRUTx48ABPnjxBSEgIoqKiGLPK1DE2NvbWQg4gy4Q3KuYohEIhNm/ejOXlZcL6Wx1TU1OYmppi9B8JhUJYW1sTIs/c3JzTnEIoFCIxMZFRktvX14dvv/1W7YBwuVyOyclJhnAbGRnRSkxpCzUOg90Lpy3UaIWYmBit+/+4np8q4bVp0yb86Ec/wvXr14mS79LSUkxNTWH37t0aZ+bkcjl6e3vR2NiIly9fqjU/EolE8Pf3R0REBNGPOjg4SIjo+Ph4GBsbIysrC3fu3KG3z8zMoLi4mM7O2tnZwc7ODqmpqZiensarV6/Q3t6Ovr6+tzZKsrCwQGxsLMLDwzVevJHL5YQIUSWumpubcevWLSLj5erqiqNHj8LAwAAikYjxvlhaWuLjjz/G6dOnGffY8fFxWtApK4VWl5njQiaTobi4GGVlZWofSzE4OIhTp07Bz88PmZmZtAtvcHAwQ8wNDAxgenqaFsnLy8s4d+4cYUzj6uqKgwcParVIxMPDhhdzPDzfYwQCAXJyciASiYhMwN27dyGVSolBqJoik8mIYJuaxZOdnY38/Hx6u0QiwaVLl/DZZ59xfhhPT09zNoPv3LmTzlawxYWy1WqRSISQkBAEBwdjYGAAz58/R1tbm0YBkK6uLjZv3oyEhASlq87srBwVdCni6+uL3NxcRrAGADdv3oSxsbHa2UFyuRxPnjwhskXAulPioUOHGH0yMTExDDG3urqKxsZGREdHQ19fH9HR0YiKikJ/fz9qa2vx8uVLzqB5bW0NdXV1qKurg7OzM6KiohAUFKQyIB8bG8Pp06cJIefq6qqVkAPevZiTy+V4/PjxO5sNKJPJMDY2RohiHR0dhrijvkxNTREWFoaSkhJGWR2XA6Suri7a2tpo4TY0NPRWroh/LPT19fHTn/50w3PSuLLI6gShnp4eDh8+jIKCAuI+19LSgtnZWeIaZQvE6elp2jxJG4v+v/qrv1JaAqh4TQLrmSyqxD08PByNjY2M8QXPnz9HaGgoca+zsLBAfHw84uPjsbi4iPb2drx69Qpv3rzRSty7u7sjNjYWvr6+GjtjUiwtLRH3Z2X3yOrqajx8+JDY7uvriwMHDtCvPZcAs7KyogWd4qLC5OQkLei4zi1txdzy8jJu3LjBaRakiLOzMwYGBojt7e3t6OjoQGRkJNLS0uDl5QVDQ0NG6XRLSwuSk5OxtraGCxcuEPcNe3t7pYZQPDzawIs5Hp7vOQKBANnZ2RCJRIQ4ePDgAaRS6Ybcs2ZmZohAglqljImJwfj4OMNCfGFhAZcuXcLHH3/M+PBaXV3FxYsXif6hhIQERikoO8CZmppSOc9HIBDAxcUFLi4umJmZQWVlJWeJJUVycjLi4uJU9mZIJBJ6+CyFYlZOkYiICMzNzaG4uJjeJpVK6deAHVwq/o1bt24xZl1RhIWF0dlWRSwsLODr68vITNTU1DBmIwkEAri6usLV1RXZ2dloaGhAXV2d0r6VgYEBDAwM4NGjRwgPD8fmzZs5DXbYbozAupA7duyY1s6Q7P0vLS1heXlZIwMENlKpFLdv3ybEtyrYc9Q0RSKRYHh4mCjH09fXh62trdrB77W1tYQI+S4IDAzE8vIy42ujYzeUsbq6it/97ncIDAxEWFgY3N3dtSof4zJX0bQkctu2bbC0tER+fj5j8aa/v59w19TT08Pa2hpevnyJxsZGRnmvpjg5OSm9X8zOzhLXcGxsLH3tCgQC7Ny5E59//jl9H5XL5bh79y4++eQTpWLL2NgYERERsLa2hkAgUGlAxcbGxgbOzs5aCzmALLEEyMycXC5HSUkJYewDrJd+79q1i3HvYt/HKAFmYWGBEydO4MyZM4z70/T0NC3o2I6l2oi5kZERXL58Wa1oDwsLw+7du9HW1obCwkLiXieXy1FXV4empiYkJCTQRjMUzc3NiI+Px+XLlwlBaGlpiWPHjmns1snDowpezPHw/AAQCATIzMyEjo4OSktLGT979OgRpFIpEhMTtdonu8TS0NCQdu8SCATYvn07pqamGPbew8PDuHXrFg4cOACBQEA7V7L35evrS5Sd2draQiAQMIK00dFRtX1GwHrQoarZPjc3V6OS046ODiJbosruPSUlBfPz8wxRu7q6ivPnz+OTTz6hyyQplpeXcenSJc7+ppSUFLr/h4uYmBhGYDc+Po7u7m54enoSjzU2NkZiYiISEhLw5s0b1NbWKrUqX15eRmVlJSorK+Hp6anUWIVio0IOWA/ihEIhIxCbnJzU2DiDYnV1FVeuXFHqdKoMX19fZGZmYmJigs7AjY+PY2xsTK0gU3Ycyiz6FdG2dNLS0hJOTk7o6+vTSny6u7sTmXipVIqVlRVC5Cn7mpycVJsxFIvFdJbLzMwMoaGhCA8PVzqDjP27bLQp1aT6v65du6ZSqFJllOrs6gUCAby9vREWFgaBQICrV6/SPxscHMTY2Bin42pVVRXjetLV1SXuMdbW1khKSmKIn6GhIdTU1HD2166traG5uRk1NTXEeARNqKmpwYsXLxAbG4vExEStFknYYs7ExIQhoORyOR4+fMhptBIbG4vs7Gzi3qWqz83c3JwWdIoZ+tnZWVrQUYuHXPtSJuaamppw9+5djcbOeHh40P23fn5+qKurQ0lJCXEPFIvFnAJ2fHwcn3/+OVFhQJl3qSpT5eHRBl7M8fD8QBAIBEhPT4dQKGRkiwDgyZMnkEgkSE1N1Xh/bPMT9jBial7T119/zVjRfPnyJYqLi5Geno7Hjx8Tzni2trbYt28f8eFMlbIplqqMjIyoFXMSiQRXrlxR6cD3+vVrjcQcO8vj7u5OCDJFqDLXhYUFhuPk/Pw8zp8/j48//pgOqKanp3H+/Hnig18oFGLnzp2IiIhQeWyenp6wtrZmvC/V1dWcYk7x+CiHt7m5OdTX16O+vl6pWYg6ceTi4qJ1aaUiQqEQFhYWjNdgYmJCKzE3Pz+PCxcuEGW41HNVVVZVU1NDl7Q5OjoyfrayskILPEWRp07cvi0mJiZwcnKCo6Mj/a+hoSHa29u1yjoC65l4gUCAqKgoeptIJIKxsbFSG3U2crkc//RP/6Rx39bs7CzKyspQVlYGFxcXhIWFISgoSOMZc4B2Yg5YN5T40Y9+hAsXLqgU4aqEnI2NDcLCwhAaGkqXE8pkMpiYmDB6xxoaGpCVlcX43dXVVdTX1zO2hYeHc4qnpKQktLa2Mq7bp0+fwt/fn763TE5Oora2Fi9evHjr0luJRILy8nLU1tYiMTERsbGxGl2vqsxPpFIpbt26xWkklZ6ejuTkZM5FKGWZOYpNmzbhxIkTOHv2LOO+Pz8/Tws6SkirE3NSqRSPHz/mzIAbGxsjISGBcClWvHeKRCLExMQgLCwM5eXlqKys1EgQsu/nhoaG+OCDDzZchszDwwUv5nh4fmCkpqZCR0cHT548YWwvLi6GVCpFenq6RmVR7Gya4iophaGhIY4ePYqvv/6aEYSUlpaiv7+fGPBMOVcqK520t7cnxJwqNBFywHrGbWVlRWXJy/LyMrEfZSWWigiFQuzfvx9nz55lZGnGx8dx6dIlHD9+HGNjY7h48SLn6IFDhw7By8tL7d8RCASIjo5m9Kp0dHQwmvBVsWnTJqSlpSE5ORkdHR2ora3VKrPl4uKCY8eObdgNk8LKyooRAGnTNzcxMYHz588T5VO6uro4dOgQpFIpIeZEIhEjI1BQUABzc3PGcG9gfV4YVaaqyOLiIkPkUV8bKV/U19eHo6MjLdycnJxgampKXI8jIyOE3T31PNVlmiiTIUVBpw2zs7OEkPuLv/gLDA4OorGxEa9fv1Yq9Khyx/z8fPj7+9OjQhQDcXaALBKJNC7TlEqlGB8fp0tetS0nNDAwQHBwMMLDw+Ho6MiZSaKCeYqmpiZs2bKFIUwaGhoI0aWslF1HRwc7d+7EqVOn6G1ra2u4d+8ewsLC0NDQgK6uLpXHraOjg+DgYMTExEBfXx//9V//pfa5rq6u4unTp6iqqkJycjI2b96sUjQrE3NisRhXrlzhXCTJyclR2ZOtiQOliYkJPvroI5w9e5Zxv19cXMTp06fxwQcfwN7eXqWYW1hYwNWrVzkrHpydnXHo0CE0NDQwtltbW3P2BOrr6yMjIwNRUVEoLi5GQ0ODxgsbenp6OHbsGLHwycPztvBijofnB0hiYiJEIhEePXrE2F5WVgaZTIYtW7aoDaDUZeYorK2tcfDgQZw/f57xoccWckKhkHauVIa9vT2jJ0GVmFMm5PT09Gi3SeoDXyqVor29HWFhYUr3xzYNEYlEGs/r09XVxdGjR/HNN98wXre+vj788pe/5PwdU1NT5OXlaeUqGRYWhsLCQlpIyOVy1NTUEJkDVYhEIgQEBCAgIACTk5OoqqpSOaOKQiAQYGhoSOseKTYbNUEZGBjAhQsXiN5LIyMj5OXlwcnJiRCnxsbG2LZtGyGMbty4gRMnTqh0X1Xch4eHB2N+oVwux9zcHMbGxtDf36/SLS86OpoWblZWVmpfu4WFBVy8eJEQbRkZGVhYWGD0hUZERMDMzIzIxN+/fx8CgQCbN29W+/zYsPuG9PT0YGZmBnNzcwQFBWFhYQFNTU1obGxU6p4qkUjQ0tKClpYWmJqa0qM0bGxsNJoxB6yLiLGxMVq4DQ8PY2xsbMNun1u2bEFcXJzaLGB4eDhDzC0uLqKzsxP+/v4A1kUE2/jE399fZYmpm5sbIiIiGGNkXr9+rdacw8LCAlFRUQgPD2f07rFnuEVFRUEqlXIKj8XFReTn56OyshJpaWkIDQ3lFMFcTpbLy8u4ePEiUUosFAqxd+9elSXo1OMUUVYaaWRkhA8//BDnzp1jOBQvLS3h9OnTOH78uNIsX39/P65evcpZbRAVFYVt27ZBJBIR9wZVFQ3A+uLXrl27EBsbi8LCQo1mLx45ckSjewoPj7bwYo6H5wdKXFwcRCIRHjx4wNheXl4OiUTC2eNAIZfLNcrMUXh5eWH79u3E31JE0blSGWxhQwVv7A9yiUSCq1evcgq5Dz74AM7OzvD29mb0mLW0tKgUc+ySNl9fX62a1w0NDXHs2DF88803amee2dra4tixY0ptuJWhr6+P8PBwRkBPjSnQ1jFtamoKdXV1Smfwsenr68OZM2fg6OiIhIQEBAQEbMhoYSNirr29HdeuXSOyOhYWFjh+/DgdSLNfA7FYjODgYExPT+Pp06f0dolEgosXL+KTTz7RKKvJRiAQwMzMDCYmJiqNTYyMjLQaFCwWi3Hp0iWidJCahcgWbaurq3TpNPtn9+7dAwCtBR37/bC0tGQcv4mJCRISEhAfH4+RkRE0NDSgubmZENkU8/PzKC8vR3l5OZ2JVERHRwdra2sYGRlhCLfx8fG3tuhXpLCwEENDQ4iPj4eLi4vSx1lbW8PFxYUhYBoaGmgx197eTmSGNTGYCgoKYog5Vfj4+CA6Ohre3t6c5463tzdjAWZ8fBwnTpxAQkICiouLOc2VZmdncfv2bZSXlyMjIwP+/v6MfXPds06dOkUIdioL7u3trfZ5sO/bqoS4oaEhPvzwQ5w/f57x2q+srODs2bOc+6qtrcXDhw8JkSgSibBjxw66dF0sFhOCVJ2Yo7Czs0NeXh66u7uRn5+vdAEjOzubseDDw/Mu4cUcD88PmOjoaIhEIsYcLGC9eV8qlSInJ4czWJifnyfKyNSVjvj6+qoUc3Nzc2qdC9liTiqVYmJiguEMSQk5tsubnp4ejh8/TvdfBQcHMx7T1dWFxcVFzt6hmZkZhoU4sB5Aa4u5uTmOHTuGzz//XOXjnJycMDAwAFdXV62b5GNiYhhibmVlBU1NTRoF7TKZDJ2dnaipqVFb2qWMoaEhXLt2je49Cw8P10pIshcFpqamIJfLlQqe+vp63Lt3jwjsHR0dkZeXx3g/ucScXC5HUlISpqenGcH04uIiLly4gB/96EcbctOUy+W4c+eOytdxaWkJY2NjSp1N2fu7ffs2BgcHGdtdXFyQm5sLgUBALC5QQ6lTU1Npp0FF7t27B4FAoNW8SXZmjsvhFFgXtA4ODnBwcEBWVhY6OzvR0NCAzs5OpRkY9nMD1jNC//zP/6zx8b0NbW1taGtrg7OzMxISEuDn58e5IBEeHs4I/js6OrCwsAATExNiDIajo6PSRSqJRILW1lZUV1drNBMzODgY6enpao1k2GKur68PKysrsLa2xoEDB5CYmIinT59yZv4mJiZw5coVODo6IiMjg56dxxZz7J5AYL1M9dixYxr3uGo7TkBfXx/Hjx/HxYsXGe6jXH2ERUVFnPswMzPDoUOHGD2xfX19DCEpEAgYQ8E1wd7eXuXiHpehDQ/Pu4IXczw8P3AiIyMhFApx584dRkBcW1sLqVRKB4qKsEssdXV1lWaRZDIZqqqqiMwAm+LiYlRUVCAqKgpxcXGc/QqGhoaEffzIyAgdDKsTcoor7n5+ftDR0aGzOXK5HG1tbZy9ROzslIGBgUYrz2zm5uYYJVrKePHiBS0szM3N4erqCmdnZ7i6usLGxkZlxsvKygre3t6MQK26uhqRkZFKBdHCwgJevHiBuro6te6IxsbGRG8fF9PT03jw4AGKi4sRExOD6OholWMfFI9fEYlEgtnZWaL8VpUNure3Nw4ePEgYO7DFnFwuh0wmo1fqZ2dnGeVWVGDLVcaljsLCQkZJMLCeiWMbpnR3d2sk5kpKSoiMirm5OQ4fPkyXBioTcwCQlpYGuVxOuNnevXsXAoFArcEOBVvMaeJQSQ3W9vf3x+LiIlpaWtDQ0KC253WjWFhYwMHBAWZmZhuaMTgwMIArV64oXZAICgpCfn4+XRIql8vR1NQEV1dXIsMTFxdHXHczMzO0oYk2BjptbW0wMjJCcnKyykUed3d3Ri+oXC5Hd3c33Qfq4OCAY8eOobe3F0+fPuXsJRsaGsK5c+fg7u6OLVu2qK0mMDU1xfHjxzmdPZWhzgCFCz09PeTl5eHy5ctaLzh5eHhg//79xIIdu8TSyclJq6qL2dlZnD9/nqhWofi7v/u7tyo95+FRx3sv5paWlvDf//3fuHr1Kl6/fo21tTW4uLhgx44d+PM//3ONbMtVsZELkKv048SJEzh9+rRGv9/d3a12qDAPz7skPDwcIpEIN2/eZJy/L168gEwmw65duxgCgqvEkutaGRwcxL179zQO2tbW1lBRUYGqqiqEh4cjMTGRKHNzcHBgCI7h4WGEhYVBKpVqLOSo7X5+fowAuaWlhRBzVKCmSGBgoFYOe2KxGBUVFSgvL1drUMFmZmYGMzMz9DHo6+vD2dmZFndOTk6E6UhMTAxDzI2NjaG3t5dxX5HL5ejr66OHiKsLpDw9PREVFQU/Pz+cPHmSkUkwMzODUCjkHP+wtLSE4uJilJeXIzw8HPHx8SpLF42NjaGvr89YbZ+cnGSIOZlMhvv373NmB8LDw7Fz505O8cWVIRSLxRCJRLT76rfffssolerp6cGdO3ewZ88ejT8PqqqqCNGuq6uLvLw81NXVMTKA3d3dasvwmpubCdGqr6+Po0ePMgJTVWIOWBd0AAhBRw2310TQbUTMKWJsbIzY2FjExsZidHQUDQ0NRI+ZNlhbW8PBwQH29vb0v1QmlV1xwCY+Ph4AUFdXx2lYQy1IFBUVISoqCjExMTAxMYG+vj4CAwPR2NhIP7ahoYHIrikOCZfL5Xjz5g2qq6u1mg2niFQqRXV1Nerr6xEdHY3ExETOSgI9PT24ubkxREpnZydh6uPm5oYTJ07g9evXePr0Ked9uqenBydPnlR5XJaWlhtyaNTEAIULXV1dHDlyhPN+r4yEhARs2bKFcyGM3b+tTTnkyMgIzp8/T/QUAuslzMnJyfwsOZ7vnPdazHV1dWHHjh0My28AePXqFV69eoWvv/4aFy5cQE5Ozh/smHx9ff9gf4uH510SEhICoVCIGzduMAL7xsZGyGQy7Nmzh/4gZIs5donlysoKnj59qpFxBhdSqRR1dXWor69HcHAwEhMT6eyFnZ0dXr16RT92dHQUUqkUV65c0VjIUQQHBzPEXG9vL+bm5hhZxtHRUeL5alpiKZfL0draiidPnmxoGDUXq6ur6OrqolelBQIB7OzsaHHn4uICb29vWFpaMgLv6upquLu7Y3V1FU1NTaipqVG6kkxhYGCA8PBwREVFMTJmDg4OjMDV2dkZ+/btQ1tbG8rLy4nh2cC6aKqpqUFtbS2CgoKQkJAABwcH4nECgQBWVlaM/U9OTtKOnmKxGNeuXeMM4pKTk1W6sSoTc1SwZWBggLy8PHz99deM4KypqQkWFha0GFLFy5cvkZ+fTzyngwcPwsnJCVNTUwwx19vbC5lMpjTbOjAwgNu3bxP7O3DgAJEFUSfmBAIBnaFjm7LcuXMHAoEA4eHhSp+bTCYjBLu2Yk4RoVDIGQRzIRAIYGtrSwg3Zbb6/f39nGJfkfn5eezfvx+pqamor6/H8+fPOUcZLC8vo6ysDBUVFQgNDaWzdYpibnx8nLieYmNj6fO+pqaGEMJsNm3aBBMTE7UllxKJBJWVlaitrUVsbCzi4+OJrLe3tzdDzHV1dXGWKwsEAvj4+MDb2xutra0oKipSe5yK2Nvb49ixYxuamaZtmaUiIpEIW7ZsUSvmdHV1sXv3bgQFBXH+fHl5mbhfadov19XVhStXrhALASYmJjh27JhW5lU8PG/DeyvmFhYWsHPnTlrIffbZZzhy5AgMDQ1RVFSEf/7nf8bs7CwOHjyIysrKDfW3AKTpARenT5/Gr3/9awDARx99pPKxjo6OhIMgG97tiOePRVBQEEQiEa5evcr4YG1uboZUKsW+ffsgEomIMkuqz0kul9PBrLIgLSIiAnK5nLCCZg8Ep/bX3NyM5uZm+Pr6IikpiRAAg4ODSjNyx44dU2lm4O3tTWSBWltb6RV7AERWzszMTKOM//DwMPLz8zlLmFQRERGBubk59Pf3a2RvL5fLMTIygpGREdTW1gJYzwiwy6La2tpw4cIF9Pb2qt2vo6MjoqKiEBwczCmA2O/B0NAQhEIhgoKCEBgYiJ6eHlRUVHD25MjlctrJ0MPDA4mJiXRfDgVbzFHn29LSEi5evIiBgQFiv+ps0AHlYk4RMzMzHD16FKdOnWL8rKSkBBYWFipNcnp7e3Hjxg1ie25uLnx8fACQq/6rq6sYGhri7DOamZnBpUuXiIxFdnY2Z5kvl5hjB/DUvEm5XI5nz54xHk+JRmWCbnZ2ljgWZT1zqhgZGUFZWRlevnyp0eM3b96M7OxsjXsvpVIpbfBCoaenh7i4OEZWkiqJ1NfXR3x8PGJiYvDy5UtUVFRwZqmkUildAq1JmfXQ0BBKSkrUZuM9PDwQExMDX19frKys4F//9V8ZP3dwcMDo6CghdsRiMZ49e4bq6mrExcUhPj6ePge8vb1RUFBAP3Zubg7j4+NKyyAFAgGCg4MRGBiIhoYGRhmpKtbW1lBcXEzPQFRXBq6INgYowLrw6u7uphezNFkg+/TTT1WWfrKzcjo6Ohr1/DU2NuLOnTvEe2JjY4Njx46pnD/Kw/OueW/F3K9//Wt6df5Xv/oV/vZv/5b+WXx8PNLT05GSkoKlpSX85V/+JcOpTBvUWesC/1OyIhAIcPz4cZWP1dXV1WifPDx/LPz9/XHkyBFcvnyZ8eFKWfMfOHCAcywBVZKkzE7bxsaGdqwcGBggxNzhw4fR0dGBxsZGzg/1jo4OdHR0ECV6YrGYyM5TQk6d6NLR0UFAQADjWFpaWmgxJ5PJiH654OBgleV2CwsLKCwsJJ6fphgbG2PXrl2QyWQYHx9HX18fBgYG0NfXR7jkKUNZf4sq+2xqVlVUVJTaBSX2QO3p6Wl6Tp9AIKCt+kdHR1FRUYGWlhbOVffu7m66ZywxMRGBgYEQiUSEQJiamlI6VF0kEmH//v1ECRkXXKWXXAGro6Mj9u/fj8uXLzMWGO7cuQMzMzPOMnhqViD73E1LS2OUL5qYmMDGxoaRxenu7iYCyNXVVc7Zg1S5HxdsMSeTySAWi4nslUAgQEZGBgBwCjqBQMApWtkZG319fY36ICmGhoZQWlpKXK+KcM3KW15e1spEp6qqinAVTEtLg5eXF0PMzc7OYn5+nu7PFYlECAkJQXBwMHp6elBZWan0mlE3NgCASrGqp6eH8PBwREdHM0x/jIyMYG1tzbjHBgcH49ChQygrK0NDQwNxLa2traG0tBTV1dWIj49HbGwsrK2tif7i169fqxQ2KysraG9vx6tXrzQuB5+amqKdb4H198/BwYExK9Hc3JzznqkuMyeTyTA4OEiLt8HBQa0cTLdt26a2h4/dL+fm5qayhJ7KanMZrLi5ueHw4cMbMkzi4Xkb3ksxJxaL8Z//+Z8AgICAAPz1X/818Zj4+Hh88skn+OKLL1BUVIS6uroNzdRRR3t7O+0cl5aW9tY9ejw8fwr4+Pjg6NGjuHTpEsPuvb29HadPnyYCzPb2dly/fp2whgfWRUJqairi4+PpYJqyIFcUHSMjI8jNzUVaWhpdQsQVUHD1ZSmiq6urkZCjCA4OZgivoaEhTE1NwdLSEr29vYQwUpbll0gkqKqqQmlpqVYDo9kzoerr6+nB7nZ2drCzs6MzTvPz8/Tg5f7+fgwPD2tVmsSFpaUlPatK0yDE1taWGLY9PDxMZJ3s7Oywd+9eZGRk4Pnz56irq+N8T0dHR3Hjxg0UFhZymt90dXXhm2++IbK9BgYGOHr0qMbvtUAgIMSCsqDVz88P27ZtYwxhl8lkuHz5Mn70ox8xSospAwS2q97mzZuRkpJC7NvDw4MQc8nJyYy/c+PGDUKQeHp6qhxlwNWbs7KywlmKSAk6uVxO9PfdunULAoGAONe5+uU06SMcGBhAaWmpysUEPT09REdHIz4+Hh0dHXQfH7AecKsqRVVkdnaWMFuys7NDbGwsBAIBkYnv7+8n5kUqLkiMj4+jsrISTU1NG55hp4iNjQ2io6MRGhpK9LpSuLq6MsRcf38/EhISkJubi6SkJJSWlqKxsZEQNisrKygqKsLz58+RkJAANzc3RmXB69evkZCQwPidtbU1tLe3o7W1Fa9fv37r5ygWi9HX18eoSDA0NKTFHfWviYkJZ2ZuZmaGFm9v3rzhdKrUlGfPniEiIkJpKS6gXb+cql7doKAg7NmzR6teah6ed8V7edYVFxfTK9QfffSR0hv8iRMn8MUXXwBYHwL7XYi5M2fO0N+rK7Hk4Xmf8PLyQl5eHjGgmKvETVkWytvbGzk5OUQ2TSAQICAggGGh39bWhtTUVJiamiIrKwvJycmorq5GVVWV0hlVbHR1dXH8+HGtFlU8PDwIl8GWlhakpKQQJZZ2dnbESq9cLkd7ezsKCgqUCk1zc3NkZGTg8ePHDHFI2cr/7ne/o7ctLS2hpaWFs9SNMlSggk+xWIyhoSGGwNP0tQKAo0ePwsfHR2ujJ5FIBFtbW0avydDQkNJAyMzMDNnZ2UhJSUFtbS2qqqo4HTFnZ2eVlqGzhdymTZtw/PhxtSMx2Ggq5oB1I5np6WmGQcfKygouXLiATz75hB6cfP78eaLXys/PT+loDw8PD8a539/fD4lEQgeCjx8/JsqGra2tcfDgQZWChkscrKysKHWaFQgE2LJlC+RyOSoqKhg/u3XrFgDm4gU7K6quxLK3txelpaVE9oN9zLGxsYiLi6MXE6j+SMXnMDg4qLJkmuLhw4fEe7pz5076dWMPjx8YGCDEnCI2NjbYtWsXMjIyUF1djdraWq2uMeB/7nfR0dFwc3NTe725uroyBENfXx9dLmthYYHdu3cjKSkJJSUlnK0gy8vLKCwsJLb39fVhbW0NAoEAHR0daG1tRWdnJ+ci3LtkeXmZ0ecLrF+/7GumtLSUMOdRh6mpKby8vODl5YWFhQXG/WNhYQHPnj2js9BsZmZmiAUKZf1ya2truHbtGueCRHx8PLZu3co7VvL80XgvxZxi4zY1EJWLqKgo2kabXUryLpDL5Th//jyA9dKo/fv3v/O/wcPzx8TDwwPHjh3DhQsXtMo2mZiYYNu2bQgMDFT6AccWc6Ojo3RGDFhfzaUyenV1daisrFRrjy0Wi9HW1gaBQABnZ2eNPlyFQiECAwPpfjNgXcwlJCSgra2N8Vh2pmJ0dBSPHj0iVncpdHV1kZycjPj4eNTW1hLHn56eDhsbG3h6ejICzOrqaoSFhak9fl1dXbi5udEzkeRyOSYmJvDtt99qFHA+fvwYOjo6Gjf8K+Lg4MAQc1ymJ2wMDQ3p16OxsRGVlZUaDQVns9Gh6gD3rDlVbN26FTMzMwzTHaqX7dixY7h8+TJhfOHs7Iz9+/crFV7u7u6MHlGJRIL+/n54eHigrq6OcHc0NDTE0aNH1briCYVCIvPENkFhIxAIkJmZCQAMQSeXy+kMXUhICAAyM8flSiqXy9HT04PS0lLGLDA2BgYGdJ8a+3lt2rQJtra2jMzk69ev1Yq5V69eESWcmzdvZpSwOjs7E2JOE0xMTJCRkYGkpCQ0NjaqnJnJJi8vT6tRJuzFqKWlJUxOTjLKMa2srLBv3z4kJyejuLhYo/5DqVSKf/7nf+YsZeVCJBLBx8eHce4DwKFDh+Dp6Ynh4WEMDg5iaGgIg4ODWpk8cRnNaIKOjg7c3NxoAWdjY8O4T3Z1dTFKYCsqKhAZGcnptMm+bxsaGnKaliwsLODixYucxjTbtm3jZ8jx/NF5L8WcYoDl7++v9HE6Ojrw8vJCU1MTEZS9C4qLi+lBwvv27dPIzWlychLJyclobm7G8vIyLC0tERoaitzcXPzoRz/Sqv9AEXUfSJoEWjw8XLi5ueGDDz7AuXPnNCp5iY6ORkZGhtrA09XVlZhZ1tbWhsTERMbj9PT0EB8fj+joaDQ1NaGoqEilA97z58/x/PlzmJqawt/fH4GBgXB1dVWZ0QgODmaIufHxcZSVlRHPl+p3XVpaosu3lfVwhIeHIyMjA6amplhbWyMWlNzd3elMVkxMDCPAHB4exsDAgEaZCEWkUimKi4s1zhxMTEzg7NmzCAoKQlZWllbiyNHRkZE90OYeo6Ojg82bNyMyMhLt7e0oLy/XOKh2d3fH4cOHN2z3ra2YEwqF2LdvH06dOsUI5gYHB/GrX/2KeLy1tTWOHj2qssfLwMCAcASlAku2SBAKhTh8+LDGrpEGBgZaiTngfwSdXC5nzGWTy+W4efMmgHW3W1UDwynr/ZKSEmLWmiJGRkb09ayszBBYz84pirmuri6kp6crffza2hqjJBZYX2TdsmULYxv7mhoaGmJkRdUhEAgwNzfHadikjPPnz8PBwQFhYWEICQlR+zlvbm5OlKH39fUxxByFjY0NDh48iNHRURQXFxPCiwtV57xQKIS3tzeCgoLg5+eHxcVFYp+Ojo7Q19eHu7s7o390cXGRFnbUv9rM0VOGra0tLd5cXV1VXltZWVm0cyewfk988uQJDhw4QDyWnTH28PAgFtAmJydx7tw5ol9ZR0cH+/bt06hXl4fnu+a9FHPUB4WxsbHauSYuLi5oamrC+Pg4VldXVX54aItiieWHH36o0e9QaX8KyoWuoKAA//Iv/4IrV64QNe2aoG3Qx8OjDc7Ozvjwww/x1VdfKX2Mvb09du7cqbEbq1AohJ+fH0MQcIk5Ch0dHURGRiI0NBT/7//9P7X7n5+fpy3BjY2NaWHn7u5OCDtXV1ei7Idd7uPh4QFjY2M8f/4cJSUlSoNkFxcXZGdnM16HmpoaoqxQMTD18fGBubk5I2Corq7W6rpeWlrCpUuXVAbSymhtbUVHRwdSU1MRFxen0YBstqPl1NQUbYKiKQKBAP7+/vDz80N/fz8KCwvVun/GxcW91dwmbcUc9TtHjx7FyZMnVZrQCAQCHDt2TKNFOQ8PD4aYq62tRU1NDdEDmZubS2deNcHAwICRIdFEzAHrx75161bI5XJGZpASdHK5nHMsgVwuR2dnJ0pLSzE4OKh0/8bGxkhMTMTmzZtV9jBReHt7M4Tl0NAQlpaWlL62JSUlRLYnKyuL6ANlG81IpVKMjIxo5GDY0dGBhw8famxEpMjw8DCGh4dRUFAAPz8/hIWFwdvbm/NaEwgEcHV1ZYxN6evrQ2RkpNL929nZ4fDhwxgaGsKNGze0yngLhUJ4enoiKCgI/v7+jOuLbfRiaGiodNHH2NgYPj4+tHOrXC7H7OwsQ9xRC+CaEhkZibS0NKKPVhlUT6Ji1Udraytd4kpBDVJXhF2h0N/fj4sXLxKLY4aGhjhy5AjvkcDzJ8N7Keao1SpNMmGKAzUXFhbemZhbWlrC9evXAax/OCiryaYQCASIi4tDbm4uIiMjYWdnh5WVFTQ3N+PkyZOorq7G4OAgsrKyUFZWptHwVh6ePySOjo5IT0/ndPEC1jNy2o7VCAwMZIg5qlRHla0zVzCgo6Ojsu9jcXERdXV1qKurg6GhIfz9/REQEABPT0+IRCIIBAIEBQUxgkc2hoaG+PzzzwknT4pNmzYhMzOTcLtcXV0lDCa8vb0ZgYBQKER0dDQeP35Mb3v58iWysrI0CmKmpqZw4cIFIoATCoWEOPD09MTKygpRMiQWi/HkyRM0NDQgJydH7eBcW1tbYv9cJiiaIJPJMDw8rHbuHQBcunQJQUFByM7O1jjAU2QjYg5Y/7zJy8tj9Deykcvl+Pzzz2FpaUl8WVlZwcjIiD43PDw8GOcFVzY1MTFR5dw3LtTNmlOFQCBAVlYWAHAKOjbj4+N48OABp40/hampKRITExEZGamVI6WrqyvjuqYyf1xu0KOjo8S16+HhQZeHKmJgYEC4ifb396sUc3Nzc8jPz38nFT4ymQxtbW1oa2uDsbExQkJCEB4eTs/RpOASc6pYXl5GS0sLmpqaNBZynp6eCAwMREBAgFKRzM64Ozo6atwbJhAIYG5uDnNzc7i5uWlVmkpRX1+PFy9ewN/fH9HR0XSJsirS0tLo6ieKR48e4bPPPqN/d2xsjFhgU7x3tbW14caNG8Tnirm5OY4dO8aZJeXh+WPxXoo56sNJk9U9RfGmbdOyKm7dukWLyuPHj6t12fr3f/93zixifHw8PvvsM/zv//2/8ctf/hKLi4v49NNPUVtbq1UzrbrV+OHhYaV21jw8mpKUlKRUzN29excjIyPIzs7WKLMDrJfMGRgYMALOtrY2xMXFKf0ddsmPk5MTPvnkE4yNjeHly5doa2tTKQqWl5fpWVH6+vq0sAsICFAp5pT1pOjo6CAxMRGJiYmcwerz58+Jew9XuVhERASKi4tpcSGTyVBbW6uytAxYL7G+ePEiUc6kp6eHw4cP49WrV4zh7Zs2bcKxY8dQX1+PwsJCItifmJjAmTNnEBwcjK1btypdhafcNtl9c9qIOblcjo6ODjx+/FirTAJl3JCRkYHo6GiN51oBGxdzgPKRD4qsrq7SWRg2+vr6tLhTJ0T9/f2JEkFNeBsxB/yPoJPL5aiqqlL52Lt37yr9mZmZGZKSkhAeHr4hhz8dHR14eHgwDCe6uroIMSeXy3H//n1GyaNIJFJqPgOsL8Aq3iOUlfjKZDJUVVWhuLiYs2dYKBQiISEBSUlJ+M1vfsO4BkNCQmBmZobGxkal583i4iJdFu7g4IDw8HAEBwfDyMiIyPpMT08zxigA61nFzs5ONDU1ob29XStnWy8vLxw7dkxtnME+j9kZeXVQcyUfPny44RhMLpfTAtjKyop231WWoTc0NERaWhqj7HZ4eBgNDQ30Qjm7xNLc3JzuAa2uriZKdoH1556Xl7ehAek8PN8l36mYk0gkWq3EKePbb7/FiRMn6P9TF7AmhgyKvQPvcvaHtiWWqspBBQIB/t//+3+orq7GkydPUF9fj4qKCqXlZlxoUiLCw/O2CIVC/OM//iMuXLjA6epVU1OD0dFRHDx4UKMPPJFIBD8/PzQ2NtLbVIk5yjlSET8/PwgEAtrGPz09HePj42hra8PLly8xOjqq9O+vrq6isbERjY2NGi0OsQkODkZmZqbSTOLy8jIhEP38/Ig5bcD6/SkkJISRqayrq0NycrLSYPjVq1ecIyFMTU1x7Ngx2NnZEaVvCwsLEAqFiIqKQmBgIJ48eYIXL14Q+25paaFLL2NjYzkF+kZMUBQfW1BQoNIkQxVra2vIz89HY2MjduzYoXFWeCNiTiqV4unTp4Tjo7aoEnpcj71z5w4MDQ3pLyMjI8b/DQ0NoaurywjItRVzcrkcEokEa2tr9Nfq6iq8vb3R1tamtVGFhYUFkpKSEBYWpvGijjK8vLwIMccegv7ixQtiMTMxMVFl5sTFxYVxznOJuYGBAdy7d0/p/cPNzQ07duyg3VTZJkrDw8PYu3cv0tPT0d3djYaGBrS1tSm1/qfOi0ePHsHPzw+hoaGEUUlfXx8CAwMxNDSExsZGtLS0bFggdXV1obq6WqV5h1wuJzL42oi5+fl53L9/X+VcQUWcnJwQHR2N2tpapQJ7cnISjx49QmFhIUJCQhAVFcV5P42KikJtbS1DtBcWFiIwMBD6+vpKRxI8fvyY8zr38fHBgQMHNvQ5wcPzXfNeZuaolSlVJggUimn0d7WaMjw8jCdPngBYLy17Vw2wP/nJT+j9lpSUaCXmeHj+kOTl5UEqleLx48fE6n1fXx++/PJLHDp0SKNFhoCAAIaY6+vrw8LCAuf1OjQ0RKxyc11/NjY2sLGxQUpKCqampuiMHZcbGYU2bp0AEBYWBnd3d/T19UFHRwcikYjxtba2hnPnzhG/pyrTFhMTwxBzi4uLePnyJedsu6qqKuTn5xPb7ezskJeXR2fU2K+j4n3TyMgIu3btQmRkJB48eECIjLW1NTx+/JguvWQPy2YHdqpeX4q5uTkUFRWpHKoeGBiIhYUFRmmZvr4+BAIBIU6Gh4fx9ddfIyoqClu2bFHbT6etmJucnMSNGzc0em7vEmUOqWxEIhFD6LHLkCsrKzE3N8cQa4qiTdvzXhkmJibIzMxESEiIVplSVbAdIOfn5zE2NkaXJC4uLjJKk4F1Mak4s48L9n1pbm6OLu+mbP2pIdhsjIyMsHXrVsJtNiQkhCHmJiYmMDo6Cnt7e9q8Y2VlBS0tLWhsbFSZDaSyUGyuXbtGDBRXhpGREWxtbVUulhQUFMDe3l5pT+bs7CxxvWki5uRyOZqampCfn8+5mGBkZITt27dDIpHg9u3b9HaZTIawsDCEhYVheHgYtbW1aG5u5rxGJRIJXWHh5OSEqKgoBAUF0de3UChEdnY24x68uLiIsrIypKenE6+Lq6srbty4gZaWFuJvRUZGYseOHe/svObhedd8p2JOR0fnndSYs28ezs7O9JyimZkZlVkvasXOxsbmnfXLnT9/nl5d09T4RBMUZ92oaiTn4flTQCQSYdu2bXB0dMTdu3cZ2aH5+XmcOnUKOTk5Kpv2gfXVdz09PUZQ+erVK0RFRRGPZd9PrKys1PYuWFpaIikpCUlJSZiZmaEzdpq6JyqDyuhpi6ryOjs7O7i7uzMCjerqaoaYk8vlKCgoIOzrgfXX8uDBg4x7HVvMcZV8OTs749NPP0VdXR2ePn1KBGDj4+M4ffo0QkJCsHXrVvo5sFfEVZmgrK2toaKiAhUVFUoFlKOjI7Kzs+Hq6oo7d+4wxFxYWBhSUlLovj42tbW1aGtrQ1ZWFkJCQpSWj7GznMqORS6X0xb0mpZi7t69G6amppiammJ8TU9Pv5OB01xIpVIsLCyoXNxU7L36rlhYWEBtbS0mJyfh4eEBFxeXtx6gbGlpSRgDdXV10WLu8ePHxLm6Y8cOtX/X2tqaKO/u7+9Hb28vCgoKOGcgAutB/ZYtWzj7y1xcXAgTpZaWFobVvYGBAaKiohAVFYWJiQk0NDSgqalJo/JdClVCjqp0CAsLg5eXF6qqqlSKOZlMhqtXr+LHP/4xZzk1ewHDwMBArenc3Nwc7t+/T8xJpAgMDEROTg6MjY2J+7liJZWDgwNyc3OxdetWNDY2ora2VulzHxwcxODgIB49eoTw8HBERUXBysoKXl5e8PHxYWR3nz9/DhsbG+Karqio4CzPT09PR3JyMj9DjudPmu88M6dqdMBGCQwMpM1HXr16pbQkSyKR0EMq36V97NmzZwH8j8PZu0JTm2Menj8lQkNDYWNjg8uXLzNc9KRSKe7evYuhoSFs375dacmVjo4OfH19GSuibW1tnGKOXa6j7f3F3Nwc8fHxiI+Px9zcHC3s1JkLvEt+/etfw9nZGb6+vvD19SXmJMXExDACsMHBQQwMDMDZ2RlisRg3b97kXCQLDw/Hzp07ideZLR6XlpYgk8mIVWbKhCUwMBCFhYWcpZfNzc1ob29HWloaYmJiOE1QRkZGGBk8ShQ9ffpUadDKZR7Dfh4ymQzGxsbYvXs3wsPDcf/+fSL4WlxcxM2bN+lMIpfQZ2fmuIxzVlZWcO/ePU4RJBQKkZmZiZiYGPzXf/0X45xvbm7GBx98QAy9lslkmJubw9TUFCYnJzE1NcUpxt93BgYGMDAwgLKyMohEIri6usLd3R2enp5wdHTUOrMhEAjg5eXFyJK9fv0aCQkJ6OnpIRZTgoODidde2X6dnZ0ZTo1UTMGFra0tduzYodK9UCAQIDg4mFGi19LSgi1btnAKAWtra2RmZiIjIwNv3rxBY2OjyjJMVbi4uCAsLAyBgYGMdhJ2X9jmzZthZGTEmNW7uLiIK1eu4MSJE4QI1sb8hLrO8/PzOUfYGBkZYceOHYxFa3bJIleW2MDAALGxsYiJiUFvby+9aMPVH7iyskL3IHp6eiIqKgpbt25FV1cX/XipVIpbt24Rv8u+lwiFQuTm5mptQMTD88fgvSyzTEpKor8vKSlRKuZqa2vpFbZ3VbJIraQB6yuAinN23hZFgwWuGnAenj9VHBwc8Nlnn+H69etEeVhdXR3GxsZw8OBBpVmpgIAAhpjr7u4mbMgnJiaIldm3WSwyNTWFmZmZ1gYRb4tcLkd/fz9txW9ubg4fHx/4+fnBzc0Nfn5+MDMzY4iE6upqWFpa4uLFi5wZxbS0NKSkpHAGWuzMnFwux+LiotL3wtjYGLt27UJERASnU+Ha2hoKCgpowWRra8t4zNDQEC3muru7UVBQoNTtUE9PD0lJSYiLiyNEFjvwVwxy3dzc8JOf/ASVlZUoKSkhBFl3dzd+//vfIzExEcnJyYx9qyuz7Ovrw40bNzgHIFtZWWH//v10tUhiYiLDoe/NmzcYHBwk+veEQiHt6ufp6YnZ2VnU1dUpzfhRZjrLy8vE19LSElZWVr6zxT+BQAA9PT3o6elBV1eXmC2nKVKpFN3d3eju7kZRURH09PTouWSenp6wtbXVKNvh7e3NEHN9fX1YXl7G/fv3GY/T19ennTg1wdbWlrDdZ6Orq4u0tDSlPaNs2GJudnZW7bxIaq6bt7c3bc7ELh3lwtzcHGFhYQgNDeWcQSiRSIiSW09PT/j7+2N4eJjx3AcHB5Gfn4+dO3cyHq+p+cns7Czu3bun9PUMDg7G9u3biYwmW8ypmmMqEAjo82d+fh4vXrxAXV2d0p7ON2/e4M2bNzA1NdXKGIY6rkOHDmm0MMDD86fAeynm0tLS6GDn9OnT+MUvfsH5oXDq1Cn6+717976Tv61ofPLRRx+9k31SfPHFF/T3qamp73TfPDzfNcbGxjh+/DgeP35MZB36+/vpPjquwMbb25uwIW9vb2eM6GC7WJqYmGg9CoHa9+vXr1FUVKSVYQewLiJ0dHQglUohkUgglUoZX4rbNO1FmpmZoefh6enpwcvLixAcVEaMvU+hUIhdu3YhLCxM6f4pO3zF4H9hYUGtm6KLiws+++wzpaWXY2NjjHssxfDwMCYnJ/H48WOlxgcCgQARERFIT09X2svMFnNs8SISiZCUlITg4GDk5+cTf0smk6GsrAwtLS3Yvn07PftKmZiTyWQoLS1FaWkpp1CKjIxEdnY2IwCNiIhASUkJoyzv2bNnOHz4MOdzoigoKFBZuikQCFR+BsjlcqyurmJpaYkWeXV1dUoHRvv5+cHZ2Rl6enrQ19enxRrXl46ODv15+vz5czx69Ejpcbi7u0Mul2NgYEBtRmltbQ0dHR10+Z2RkRE8PDxocWdhYcH5Oe7h4cHI/kqlUly8eJFY2MnIyFB6TstkMkxMTNDleIODgyrHKQDrJcu5ubkqx6Swsbe3h5WVFcOZtaWlRaN5kdQ9T5WjLkVWVhbi4uJUiuH+/n5ikYN6Lfft24evvvqKMTewrq4Ojo6OdFm8XC5XK+bkcjlevHiBgoICTiFmbGyMnTt3Kl10Y7e+iMViwuCGC1NTU6SkpCApKQkdHR2ora2lq7DYaFPCCqx/rhw7doxRHsvD86fOeynm9PT08Od//uf4p3/6J7S1teHXv/41/vZv/5bxmMrKSpw8eRLAujCKjo4m9tPT00M7GKWmpqK4uFjl36U+RID1FdodO3ZodLzPnz+Hm5ub0lUtuVyO//N//g8KCwsBrPeG8OYnPO8jVNO5o6Mj7ty5wwgmFhYWcOrUKWzfvp0oodTT04O3tzcjGG1ra1Mp5vz9/bXuY6CyBBsZrA38T2m1unIxqVSKX/7yl4wVYSpIVhXEr62tKe0zZgs5fX19HDp0iBh0y0YoFMLY2JjRU6WJeRT1u1TppbJeNTYtLS14+fKl0tVwT09PZGVlEXO12LAzIcrEgrm5OY4cOYJXr14hPz+fyKhNT0/jwoULCAgIwLZt2zjF3MzMDG7cuMF5XhgYGCA3N5dRHkaho6OD+Ph42rgKWD9Px8bGYGtry3m8b968UTrmgqK+vh6pqalKe78EAgEMDAzo3sSZmRmVhil+fn5azy4dHBxUmyFyc3NDWloaxGIx+vr66Ezc8PCw2szh0tISWltb6VJWMzMzhrijhJm+vj6cnZ0ZpdDs98nBwYFxT5mbm2MIt6GhIa2NXvr6+pCfnw9fX1/4+PhoZKBGlVqWlJTQ21pbW5Gdna3yntHb24tHjx5pvLj08uVLleNbALLE0tHRkS7BNDQ0xOHDh3Hy5EnG/ejBgwews7ODk5MT5ubmiHEnijHM7Ows7ty5Q/wditDQUGzbtk2liziXM+Ta2prG/gZCoRD+/v7w9/fH1NQUamtr0dDQsGGHT2traxw7dkxtXyAPz58a76WYA4C//du/xeXLl9HR0YFf/OIXeP36NY4cOQJDQ0MUFRXhl7/8JSQSCQwNDfEf//Ef7+RvPnr0iF7NO3r0qMZjF/Lz8/Ev//Iv2LZtG7Zu3YrAwECYm5tjdXUVTU1N9NBwYH218quvvuKbbXnea0JCQug+OkXzAplMhvv372N4eBjbt29nBKsBAQEMwfbmzRusrq5CX1+fDs4U0abEsq+vD0VFRSrNAGxsbJCeno779+8rNUB4/fo1Hj58qHKGFbBeEsoWM3/9138NkUiEnp4eOkOhre27Ih999JHGNuEmJiYMAaftajXVq0a5XqrLanAJORsbG2zduhXe3t4a3d/Ywa+6Uil/f394enqipKQEz58/Jx7f1taGrq4uIijv6urC559/zplZcHNzw969e1VmZ6KiovDs2TNG5vLZs2fYt28f8VipVErMrzI0NMSRI0fw7bff0tsooaMq40ohk8lw48YNlSVqQ0NDWom5lZUVXLt2jXgN2cO2qTI+XV1d2rGR+v2enh5a3GkyDH52dhYNDQ30goG1tTXc3d3h4eEBJycnlX2tQUFBqKiooMWbtuc3F2KxGK9evaLvSVSfq5+fH9HnqkhISAhDzC0uLqKnp4dz0WV6ehpPnjxRK+7ZDAwMoLm5mdPllkKZ9T6FnZ0dcnNzcePGDXqbVCrFlStX8OMf/5jT/MTCwgJyuRx1dXV4/Pgxp0A2MTHBzp074efnp/Z5cIk26p6vLZaWlsjKykJ6ejpaW1tRW1urlZGcm5sbDh8+/E5HWPHw/KF4b8Wcqakp7t+/j5ycHHR2duLLL7/El19+yXjMpk2bcP78+XfWwKrtbDlFVldXcfv2bYYNLxtXV1dcuHCBM4vIw/O+YW9vT/fRsVdv6+vrMTo6ikOHDtEuar6+vkQ5VUdHB0JCQogSOn19fcImn4uhoSEUFRWp7I2xsrJCamoqgoKCIBQKcfPmTZX7rK2thaWlJeLj45U+hj2byszMjM6i+Pj4wMfHBzk5ORgdHaWFnbYOtt988w2cnJzg4uICV1dXuLi4KLXlNzU1ZQgwTTNzFGtra5icnMT09DQ8PT3VijlFjIyMkJ6ejsjISK0MMFT1zClDT0+Pto2/f/8+IQDW1tY4e8DYQkggECAtLQ1JSUlqj1lfXx+xsbGMAL6lpQXp6en0EGKKqqoqojxwy5YtcHV1hYeHByMAr66u1kjMlZSUqM00azNWQS6X4/bt24xFGGC9j8/FxQWXLl2it1HllewsqoGBAZ0xAdbPN0rYdXd3E/vmguqRVbT7V4ZiZvS7gjJ3efr0KczNzWlh5+bmxnj+VlZWxPzF5uZmhphbXV3Fs2fPUFlZuWGX0ydPnsDf358zu7W8vEy851xiMiQkBENDQ4yy+Lm5OVy9epUY3+Dg4ICZmRncvXtXaRY4PDwcWVlZGgsiZZm5t0FXVxfh4eEIDw/H8PAwampq0NzczGl0RBEUFIQ9e/a8tfsqD88fi/f6zPX29saLFy/w3//937h69Spev36NtbU1uLi4ICcnB3/xF3+hdH6KtszNzeHOnTsA1leAtRFcH3/8Mezs7FBZWYmmpiaMjY1hcnISOjo6sLa2RmRkJHJzc5GXl6d2RhIPz/uEkZERjh07hsLCQmIQ6+DgIN1H5+rqCgMDA2JIcFtbG0JCQogSS19fX5WGBKOjoyguLlbaQwSsl+elpqYiNDSUDthlMhlRBpmbm4sHDx4wgq6CggJYWFgozQ6yxRxXSaFAIIC9vT3s7e2RkpKChYUFNDc3o6CgQOkxK0IZHCiaHNjZ2dHiztXVlc4oqZo1p8jy8jImJiYwPj6O8fFxOqDWJPjmYvPmzcjMzNzQfY3LzVJTbG1tceLECTQ0NODx48dalV2Zm5tj//79Gs1IpIiJiWGMXJDL5Xj27Blyc3Ppx8zPzzMEH7Be+kZlzGJiYhhB8tDQEO1iqoyenh6UlpYSx5+dnY3Lly/T20ZGRiCRSDQKVqurq4nrxsXFBRkZGYTolUgkGBoaUtsTZmJigpCQEISEhABYz0gpijtlmfB3zaZNm+Dk5ER/TU1N4e7du4zHODs7Y3BwUGWZ6MzMDKqrq1FdXQ19fX14e3vD19cX3t7eMDIyQlBQEEPMtbW1YceOHRCJRGhoaEBhYaHS52xtbY2srCzU1tYy7P0Ve4qB9fPp2bNnyMjIIPbR09PDOH4dHR2lTpxbt27FyMgIo2qBfV8B1ktbf//733OWiZuamiI3N5fuS9UUaian4r1VVYZZW6jxBpaWlnQbCxc7d+7khRzPe817f/YaGxvjF7/4BX7xi19o/btU87YmbNq0iagf1xQ3Nzf87Gc/w89+9rMN/T4Pz/uMUCjE1q1b4eDggDt37jCCgcXFRZw+fRrbtm1DVFQUAgICGGKus7MTc3NzRHmkMhE1MTGB4uJilXO1qOb5iIgIQjBwrQp7eXlhz549hHX59evX8fHHH3M6z46NjTH+r6x/ikIul6OrqwvPnj1T+Th1jI6OYnR0lM5mmJmZwdXVlchMjoyM0OVvlHibmJjQOmOnjq6uLmzevFnjclBFtC2zZEOZrPj5+eHJkyecoxa40KSfj42RkRGioqIY5hWNjY1ITU2lM89cZWnbt2+nn6evry/hYlpTU6NUzC0tLTFK5ID112z//v3ESAaZTIaxsTG1LsmDg4PEYoKhoSEOHDgAoVAIQ0ND2NraMs7v3t5ejQw+FLGwsICFhQUiIyMhl8sxPj5OC7uenp53EtDr6+vDyckJjo6OtHhjG6RwuVHn5ORg06ZN6OzsREdHB7q6ulRmi1ZXV+neP4FAAFdXV+L8WV1dRWFhIXp6epRmtQ0NDZGWlobNmzfT5Y6K5ObmoqmpiWH0UVFRgYiICCIDzK6EcHV1VSpWhEIhDhw4gC+//FJl2beyzFZERASysrI2vBCtr6/PiK3e1RB7YP0auXv3rspFvX/4h3/QuGWGh+dPlfdezPHw8LwfBAcH0310ii5qMpkMDx48wNDQEDIyMhjOixKJBA8fPmQE8iKRCN7e3ox9T09Po6SkBE1NTUoXaIyNjZGcnIzNmzcrDWy4gkh9fX0EBwdjenoaT58+pbdLJBJcvHgRn3zyCdEwr0lmjmJiYgL3799X2c+niLW1tcrBwYrMzs6iubmZ2N7f388oG/+umJmZwcmTJ7F9+3ZERkZq1QusqQGKOoyMjLBr1y7Y2dkhPz9f7eOvXLkCkUgEZ2dnRs+WupX7+Ph4VFdX08cplUpRWVmJ7Oxs9PT0EO9DREQEQ6gJhUJERUUxMgitra3YunUr53iJO3fuEL1h6enp9D7ZropDQ0MqxZyyPrm9e/cyBkq7ubkRYk5xXJC2CAQC2NrawtbWFrGxsZDJZOjq6sLly5e1es+prLSzszOcnJxgZWWlkSuipaUlo/S2t7cXcXFxdKmeRCKh+1zb29tVCh65XM6Z1QKgdK4gZTKUmppKlyd2dnYyxJNAIICPjw8cHBzw+9//nr7HSaVSPH78GIcOHWLsk10Gqc4kydjYGIcOHcK3336r8Wu+adMm5ObmEvdibdHT02OIuXeVmevu7sbNmzeV9k8GBgYiMDCQF3I83wt4McfDw/MHw87Oju6jY1tJNzQ0YGxsDFZWVgyxwl5V9fLyonstZmdnUVpaioaGBqWZG0NDQyQmJiI6OpqzR0MRrlVh6neSkpIwNTXFcHRcWFjAxYsX8fHHH9Mr00tLS0QAwSXmxGIxysrKUF5eznnsurq6iImJQXl5OWP7vn37YG5ujv7+fvT19aG/vx+Dg4MbFjvaYGFhAWtra1hbW2NlZUWjbJdUKsW9e/fQ19eHHTt2qH0PKN42M0chkUhQUlJCvI6qkEqldFBeUlJCl6lR4o5rALapqSkiIiIYPV51dXVITEwkTE8MDAywZcsW4u9GRkaiuLiYIQjr6+uRkpLCeFxtbS3RR+rp6clwQXZ0dCTEnDIoccjVJ8cunXNzc0NNTQ39/76+Ps4h9BthdnYWFRUVqK+v1/p8lslkCA0N1TpL6OrqyhBzfX19DKdIHR0deg7c9u3b6T7X9vZ2rXoRufDx8UFWVhaRSWW/t+7u7jA0NIShoSFiYmJQVVVF/6ytrQ3d3d20wcns7CzjfQfUizkAcHJyQk5ODlF2ysXmzZuxdevWDRmVsGHv420zc1KpFEVFRUqv9+joaGzdupUXcTzfK3gxx8PD8wfF0NAQeXl5KCoqIsoKNQmO/Pz86H6Ruro6pUGfvr4+4uPjERcXp3HQwV4V1tHRoYNUgUCAnTt3YnZ2lrHyPTY2hqtXryIvLw8ikYjIyolEIqKcq7OzEw8ePFDai+bv749t27bBzMwML1++ZGQyBwYG4ODgAF9fX/j6+gL4n94lStz19fVteBi6UCiEpaUlbGxsYG1tDRsbG9jY2MDKyooOgMRiMT7//HOt9tvU1ITh4WEcOnSICF6VHYciGxFzQ0NDuH37NlH2qi0SiYQeQgysC3w3Nzda3NnZ2UEoFCIhIQF1dXV05kQsFuO3v/0tcV6lp6fD2NiY+DtGRkYICQlhLBjU1tYyjFhGR0eJ2W9GRkbYs2cPIxPl6OjIyAaquraqq6uJkRguLi5IT08nHsvuvVpbW8Po6OiGSmkpxsfHUVFRgaampg2L9vHxcXzzzTda92m6uroyXu++vj6ls87Yfa7z8/Po7OxEe3s73rx5o9JkQxFra2tkZ2dzZrVkMhmjVw4AfZ0D62OUmpubGdms/Px8/OQnP4FQKCRKLA0NDTWambawsKCRu+4HH3ygkTjUFG0Gh6tjamoK169f5zzXjYyMsHv3bsZrycPzfYEXczw8PH9whEIhtmzZAgcHB9y6dUvl7DU2/f39ePjwodLASVdXF3FxcYiPj9faZpprlpsiIpEIhw4dwsmTJxnZwzdv3uDBgwfYuXMnIeZsbW3pQHxubg75+flKZ8mZmZlh+/btDFtvFxcXQsyxDZiozBEVaFN9SH19fbh//77S52tsbAxPT09atFlbW8PS0lKluQwAFBYWcrpCqmN8fBxfffUVdu3ahaCgIJWPfZsyS8VsHFfZrb6+PhE0GhgYwMrKCkNDQ2p7qdfW1tDZ2Un3dxoYGMDd3R3u7u6wt7dnmF+w/46dnR0xZ1GR6OhohriYn5/Hq1evEBgYCLFYjOvXrxOvxe7du4l+MHZJ5djYGMRiMZGRGBoa4uyT279/P+d5oKw0cSNibnBwEM+ePVPZ08RFUFAQTE1NUVVVRbxXdXV1aG9vx/bt2xEQEKC21JJtkra4uIipqSnOfjo2pqamiIyMRGRkJMRiMd68ecNw++Riy5YtSEhIUJrJHBgYIPrzFe8HhoaG9AgVirGxMdTV1SE6OppzJIGq12BgYADV1dVobW3VSEhXVlbC0NDwrcS7Iu8iMyeXy9HY2IiHDx9y/r6npyf27NmjdKg8D8/7Di/meHh4/mgEBgbC2toaly5dYggWVSgbXK2jo4Po6GgkJiZyZj00gR14c2X0DAwMkJeXh5MnTzIc6err62FpaUn0s9nZ2UEmk6GqqgrFxcWcwYZQKER8fDxSUlKIlWpnZ2c0NTXR/x8YGFD7PKg+JHW9de7u7pzz0FTR29vLKPOijjEgIIAxZNra2hrp6em4ffs24zmvra3h2rVr6OvrQ1ZWllLhuNHMnKpsnFAoREpKCpKSknDlyhVGBsTExASffPIJ1tbW0NvbS5txaDKGYWVlhTGTTBU5OTkqSxIdHR3h7OzMeJ+rq6sRGBiIR48eETPbYmNjObMN9vb2jP5TuVyOkZERRhniysoKrl69Sry2e/bsUTlbz83NjbPPTBPkcjm6u7vx7NkzlYPOhUIhQkJCEBgYiIsXLzJ+FhERAS8vL4SEhODevXvEsO2FhQVcvXoVvr6+yMnJUflcLCwsiDmMvb29Gok5RRYXF5X2xSliaGio8v1nl1ja2toSBieRkZGora1lLBwVFRUhKCiIyMxxZdEkEglevnyJqqoqrUtFX79+jdevXyMgIABpaWlqzZ3U8baZuZWVFdy/fx8tLS3Ez6hFw/j4eH52L8/3Gl7M8fDw/FGxtbXFZ599hhs3bqicB6cMkUiEyMhIJCcnv/XKK1toKevvsrCwwJEjR3D69GlGhpBr3pVYLMaXX35JZOwoXF1dsWPHDqVBEdvNcGpqCouLi2oF6+zsrNr+l9bWVjow1oS1tTViVqaOjg52795NBGETExPw8PDAj3/8Y1y9epV4/tXV1RgcHMTBgwc5g21tM3PqsnH29vbYs2cP3b8YExPDEHMTExPo7u6Gp6cno4R1eXmZHoDd09Oj0QBsVYyPj0MoFMLW1lbp+RUdHc0Qc729vSguLkZdXR3xnDIzMzn3oaenBxsbG4aoVRwjoKxPLiEhQW0pmpubG6Nfsre3V2lpIoVMJsOrV69QXl6uUkDo6OggMjIS8fHxMDc3R1lZGePnRkZGdH+Yo6MjPv30U1RVVaGoqIjI8Hd0dKCnpwcZGRmIjo7mFFECgQBubm4MB9y+vj5ERkaqfA0o5HI56uvrUVBQoFFWqaysDOHh4UoXMdhijmv4tlAoxLZt23D69Gl62/LyMq5cuUKMPFAUc/Pz86itrUVdXd1bj4Noa2ujR8ekpqZqLX4p2NeANpm5/v5+XL9+neEAS2FlZYX9+/e/swwiD8+fMryY4+Hh+aNjaGiIo0ePori4mAjelEFZz6ekpKhcedcGTTJzFM7Ozti7dy+uXr2qcp/KxiQYGRnRA65VBcF2dnbQ1dVlBKoDAwOcQR6FTCbDjRs3iL65zMxMPHv2jLH9wYMH+NnPfqbRnKUnT54QGdSMjAxYW1tDKpUSs7D6+/vh6+uLTz75BA8ePCCyqoODg/jiiy+wb98+on9Im8ycptk4xQCaKi9VzF5WVVURmQxDQ0MEBAQgICAAwHrWR1HcaVtueu/ePfp7Kysr2NnZMb7MzMwQGBiIgoICRsDNnlGnq6uL/fv3q3zfHB0dCTFHUVNTw9knxzW3jA27NJGaT2hjY0M8ViqVoqmpCeXl5YQxhyIGBgaIjo5GbGwsY6GCff0EBAQwzg0qqx0QEID79+8TC0Jra2vIz89HU1MTcnNzOfvHXF1dGX+Hy42SC2r+LNvMiSI6OhpeXl6M0svZ2Vk0NTXR8wUVmZiYIF4jZde5u7s7AgMD8fLlS6XHbW5uTpslVVdX4+XLlyqvIx0dHXqup+JsRnNzc4jFYk4B2NzcjJaWFoSHhyMlJYVw9lUH+x6rSWZOJpOhrKwMJSUlnAs3ERER2LZtm8ZmSzw87zu8mOPh4fmTQCgUIiMjAw4ODsSMJTahoaFITU2FpaXlOz0GdiChLhgIDAxEZmYmZ0ZOFREREcjMzISRkZHaxwqFQjg5OTFGF6gTc2VlZejr62NsCwoKQkJCAgwMDBiCYmpqCs+ePUNaWprK4+ju7ma4GALrwX9sbCyA9Uyak5MTI6Ds6+uDr68vdHV1sXv3bri6uuLBgwcMwbe8vIzz588jJSUFqampdKCuiZjTNhuniEAgQExMDB48eEBv6+jowNTUlMrzysTEBMHBwQgODgawHtBTwu7Vq1daGc9MTk5icnKSEZDr6+vDzs5ObeZk+/btao1kHB0dGQKaEnPa9smxMTMzw6ZNmxiGGb29vQwxt7a2hrq6OlRWViq1hwfWX8+4uDhERUURgf3ExASR0aVedzbm5ubIy8tDa2sr8vPziddvaGgIX375JeLj45GWlsboHWSL05mZGczNzTFGMigil8vR1NSEhw8fcooPMzMz7N69Gx4eHpDL5XBxcUF/fz/987KyMoSFhRHnONv4xMTEROU4ia1bt6Kjo0Np//D8/Dy++uorogyV63ijoqIQGRkJIyMjjI2NYXBwkP55cnIygoODUV1djfLycuIcl8vlePHiBRobG7F582atqiS0zczNzMzg5s2bxP0NWF8QyM3NRWBgoEZ/m4fn+wIv5nh4eP6kCAgIwJEjR1QaCTg7OxN9JO8CdQYoXCQkJGBqagr19fVqH2tra4sdO3YQjoDqcHZ2JsScMvr7+4ksjpmZGXbu3AmBQIDIyEg0NDQw9vHs2TOEhIQoLZVaXV3FnTt3GNuo8krFgNTFxYUh5tjHGRERQYt1doavtLQUAwMD2LdvH4yNjdWWWW4kG8cmLCwMhYWFjIC8pqYG2dnZSn+HzaZNmxAWFgYHBwf09/dv2EWUYnV1lTNQVcTDwwPh4eFq98UWAhMTE5idncW1a9eI11Ndn5wiVGmioltmb28voqKisLS0hOrqalRXVzOyO2wsLCyQmJiIsLAwpdlFdlbOxMRE5bUjEAgQHBwMLy8vPHnyhLgm5XI5Kioq8PLlS+zcuZMuL7a1tYWBgQHjvevr6+MUjgsLC7h37x5RDkkRERGB7Oxs+t4hEAiQkpKC8+fP04+Znp5GU1MT8R6y9+nr66sya29ubo6EhASUlpZy/lwqlaoUcu7u7oiJiYGfnx/jOuYqN9fT00NSUhKioqLw/PlzVFZWEo+TyWSoqanBixcvNO5f1sYApbW1FXfv3uUU0G5ubti7d+87q9Lg4Xmf4MUcDw/Pnxw+Pj5wd3dXOkj7wYMHaGlpQW5urkY295qibWYOWA/WcnJy0NTUpNKaPDk5GampqRplPtiw++YGBwc5Z3utrKzg+vXrjCyVQCDA/v37aat2gUCAHTt24Msvv2QMH37w4AGOHz/OGTw+fvyY6K3asmULIf7YM76o+XeKz9ne3h4//vGPcfv2bcIw5M2bN/jiiy9w8OBBpZm5t8nGsdHT00NERATDuOLFixdIT0/XqkSrpaUFd+7c0ciV1draGpOTk2odM1XR3d2Nzz//nB6N4ObmxuncSo1MUMxqfvnll4RboiZ9cmzYYq6lpQXGxsaor69X+TrY2dkhKSkJgYGBKo1A5HI5YWqh7ncoDA0NkZubi9DQUNy9e5coXZyZmcG5c+cQEhKC7OxsGBsbw8XFhXYnBdbFKVvMtbS04MGDB5wi1dTUFLm5ucRcPmB9NqaTkxMj21VWVobQ0FD6+SwuLjKyd8D6iBJ1JCYmoqGhQaOxAsD6IkxoaChiYmKUXiOqeocNDAyQlpaGmJgYVFRUoLq6mni/JRIJKisrUVdXh9jYWLoigAtNMnNra2t4+PAhp/mVQCBAWloaY3wHD88PDV7M8fDw/MkhFArx0Ucf4fr165wuZcD6yvnnn3+O1NRUJCQkbEgksdHUAIXN/Pw8RCKRSjH3/PlzrKysIDY2VmuzALaYE4vFxGwvuVyOe/fuEWYAqamphMiyt7dHbGwsQ8S8efMGra2tRAD75s0bwnjD1dWVLq9UhP13JBIJhoeHieM3MDDAoUOHUFlZiSdPnjCEzfz8PE6dOkUExVKp9J1k49jExMQwXofV1VU0NjYS4x+4kEqlePLkCaeLoaGhIXx9fdHY2MjYvnv3btjZ2WF8fBwjIyMYHR2lv7TJ6o2NjWFsbAzV1dUA1t9TSty5urrCwMAAOjo6sLOzY2Rn2ELO2dlZoz45CrlcjuXlZc4SYbbLqSJubm5ISkqCl5eXRs6CY2NjhBurunEWXH/zpz/9KZ49e4aysjKiVLe5uRmvX79GVlYWXF1dGWJOMTu6tLSEBw8eKO1/DQ0NxbZt25SOQhEIBEhNTcWFCxfobVNTU2hpaUFoaCiA9dmTiteBrq4ubfSiivHxcY2EnLm5OaKjoxEREaF2ZIsm90EjIyNkZmYiLi4Oz549Q21tLZHtXVtbQ1lZGWpqauiZn+x9qeuZGxoawvXr1zl7U83NzbF//37i/sLD80ODF3M8PDx/suzfvx/79+/H8vIyCgoKiJVZqVSKp0+forW1Fbt27VLZX6IJGymznJycxJkzZ9Q27ovFYtTU1KCmpgY+Pj6Ii4tTOwOKwtjYGBYWFpzDwykaGxuJYNPNzQ3Jycmc+0xLS0Nrayujn+nRo0fw9vamV9G5yiup/jeu4zY0NCRMRfr7+zmDLYFAgISEBDg5OeHatWsMa3iZTEaUnC0vL+Prr79Wmo3bvXu3RsOR2VhYWMDPz4/x96qrqxEVFaXyvVlYWMC1a9c4zTIcHBxw6NAhmJqaoru7mxFsV1ZW4uDBg3B0dGScr3K5HHNzcxgdHcXIyAiKioq0eh4jIyMYGRnB8+fPIRAI4ODgAHd3d0K8KWJgYID9+/djdXUVi4uLWFxcxNLSEue/1PdLS0taZRV9fX2RlJRECH11sM/lTZs2ab0PYD0TlZaWhqCgINy7d48oYV1eXsbt27eJUs+xsTEsLy+jt7cX9+7d4+xhNDY2xs6dOzXKoHl7e8PBwYEhrEtLSxEcHAyhUEic797e3irNbXp7e1FWVqbUfIXCw8MDsbGx8PHx0Thzpc2ilomJCbZt24b4+HiUlZXhxYsXhGheWVlBUVERqqqq6FJNqmdRWWaOKol9+vQpZ79sSEgIduzYodE9mofn+w4v5nh4eP7kMTQ0xO7du+m5Uux+q9HRUXz99dec5gbaoI2bJfV3z549q7XNNzVw2sbGBnFxcQgJCVF7zKqGh09OTjKMPID1QH3v3r1KAzh9fX1s27aN4ca5sLCAoqIibN++HQBQUFBAZPoyMzNVGoS4uLgQYi4+Pl7p493c3PCTn/wE169fV1pWS8EWERvNxrGJiYlhBNMTExN48+aN0pENfX19uHr1KkOAUkRERCAnJ4cOxGNjYxnz99ra2jA9PU30fAoEApiZmcHMzAyurq6orq7esH28XC7H0NCQ2hliKysr+M1vfvNWJZ+qyMzMRHx8vNblb3K5nBBzQUFBbzUrzMbGBidOnEB9fT0eP35MXOtcWfXf/OY3SrOlgYGByMnJ0XimJZWdU+wFpsxv/P39CVHGVfZKzegrLS3V2HEzJydHq1J0qVRKZNg0qVCg+nITExNRUlKCpqYm4rxaWlpCQUEBKioqkJKSgsjISM7M3NzcHG7dusU5h1BPTw87duygM5o8PDy8mOPh4XmP8PT0xE9/+lN6lVcxWKBWctva2pCbm6tRiRIbbXrmBgcHce7cOZWlcQkJCZidncXLly85A+bx8XHcvXsXT548webNmxEdHa3UQU/Z8HCpVIrr168TfSu5ublqzQACAgLg7e3NsHOvqalBWFgYlpaWCAMJd3d3teWHLi4ujBlkbW1tuHv3LkxMTCAWiyGRSCAWi4nvtZkvBawL/A8//HBD2Tg2Hh4esLGxYcyQq6qqIsScXC5HdXU1CgoKiGyBSCRCTk4OMZ8sMjISJSUljIzD8+fPacHMxdOnT1UKuezsbKytraGnpwf9/f0qy3vV8V0JOWB9lEVVVRVCQ0MRERGhcXnxyMgIUVanbYklFwKBAJs3b4afnx/y8/OVlk1ScF3bhoaGyMnJ2ZC49PX1hb29PWMQfWlpKTF6RCAQMMScXC5HZ2cnSktLGX13mnDlyhV8+umnGpeMc12H2vSPWlhYYM+ePbSo43qNFxYW8ODBA5SXlxPl1EtLS/j88885+xKdnJywb9++d+5izMPzvsOLOR4envcKPT09ZGdnIzg4GHfu3CH6p6anp3HmzBlERkZi69atShvvudC0zLKnpwcXL15UK0D8/Pzg6uqK2dlZ1NTUoK6ujjNAXF5exrNnz1BRUYGgoCDExsbCycmJ8Rhlw8PLy8sJx7rIyEiN7Lkp85bf/e53tCCQy+W4fv06Z6mVYnmlTCbDzMwMxsfHMT4+jomJCYyPj3NmgzRx+tSW5eVlnDp1CjY2NrC1tWV8aZotoaDGFNy/f5/e1tnZicnJSVqArK2t4d69ewzTDwozMzMcPHiQeM+A9QxpZGQkYbKSlpbG2bs0PDyM2tpalcc7OzuL7OxspKSkQCKRYHBwkB6PMDAwoHbA+h+S+fl5lJeXo7y8HC4uLggPD0dQUJDKrDe7T9bCwuKtS6gV0dfXR0pKCgwMDIh+UHXs27cPbm5uG8oSUs6WiqNXxsfHcevWLcbjXFxcYGRkBLlcjra2NpSWlhIjGhQxNjaGsbExZy/p+Pg47t27h71792p0zG8r5ihsbGxw4MABJCUlobi4mNP9c3Z2lvNc5xJyb2MgxcPzfYcXczw8PO8lTk5O+PGPf4zy8nKUlpYSAWx9fT06OjqwY8cOjXpaAM0yc52dnbhy5QqRDXF0dCSEDGUSYWZmhszMTKSkpKCpqQlVVVWEuQOwLpCam5vR3NxMz3CjhiRzDQ8vLS2lDTAorK2ttbLWt7CwQHJyMqNHi8tswMXFBU1NTQzx9scWDaurqxgYGCBGIBgZGRECz8bGRqWwDw0NRWFhIUNs19TUYNu2bZiamsLly5c5g2VPT0/s379f5czA2NhYRiZZLBajrq4OSUlJjMfJ5XLcv3+fkS3T0dFBYGAgIyvb2tqKrKwsCAQC6OjowM3NjZ6VJhaLMTAwQIs7tkOiKvT19WFsbAwjIyPOf42NjbGysoJr164Rv7tz5050d3fj1atXSs+L/v5+9Pf34+HDhwgMDER4eDjc3d0ZIoOrxDIwMFAr8USZtExNTWF6epr+l/pSNfdOHdSIATMzM1hbW8PKygrW1tb0l4mJicpj9ff3h62tLeNcYi/w+Pj4oKmpCWVlZZz3CQpTU1MkJiYiMjISPT09DIMVRaj7iSamPu9KzFHY29vjyJEjGBwcRFFRkdoePzabNm3C3r174e7uvuFj4OH5vsOLOR4envcWkUiElJQUBAQE4O7du0TgurCwgMuXLyMwMBDbt2+HiYmJyv2py8y1trbixo0bRImdl5cXtm/fjt/+9reM7ewAX09PD1FRUdi8eTO6urrw/PlzpcENFfhu2rQJMTExiIyMJIaHs4WcSCTC/v37tQq+ZDIZQkND1RpudHV1aR2I/bFYWlpCT08P0YO3adMmWtgpijxdXV16TEFlZSX9+BcvXsDJyQn379/nNLhJSkpCenq62p4wc3NzBAUFMTJOVVVViI+PZ2QaXrx4QZTRJScnw9/fnyHm5ufn0d/fzzlzjXJB9PDwgEQiwa9+9SuVowJ2794NT09PGBkZqTTcANZLer/55hti+4EDBxAUFITNmzdjeXkZzc3NaGhoUDrjTCKRoKmpCU1NTTA3N0dYWBjCw8Nhbm6OwcFBok+Ta96bTCbD3NycUsGmzpDobZmdncXs7CxxTejp6TFEnuK/Ojo6dHaOSxBTFBYWqvzb5ubmSEpKYszoU7WYAKybGzk6OnJmjxVh3wN1dHTeieW/k5MTjh8/jt7eXjx9+lTtLEVgvQw8NzdXrfsmD88PHV7M8fDwvPfY2Njg448/Rk1NDZ48eUIEry9fvsSbN2+QnZ2NsLAwzpVzuVyuMjPX0NCAO3fuED1G/v7+2L9/P6PfClgvqVJlVe7t7Q1vb2+Mj4+jqqoKjY2NnL1Pc3NzePLkCUpKStTOMcvMzKR7yKjsxNzcHObn5xlfCwsLjO+/y74pisDAQOjq6kJHRwe6urrE99RXW1ub0nEUFPr6+hsK1ufm5jA3N8foEQQAS0tL2Nracjrr3bhxg/Pv79mzR+OMLwDEx8czntfCwgKam5vpwdFLS0t48uQJcVwJCQnQ0dEhevpaWlrUDp9vbW1Ve84UFBTggw8+UNqrqcjTp0+J7HNERASjn83Q0BAxMTGIiYnB6OgoGhoa0NTUpNRVc2ZmBiUlJSgpKYG7uzujn0zxMd3d3ZiamsLMzAz9L5fL4R+btbU1peYz5ubmsLa23nDPl5WVFZKTkxESEkIILHViTiqV4urVq/jxj3+s8rEbHc+iKW5ubvjggw9w7tw5lSYuubm5iIiIeCvTGx6eHwq8mOPh4fleQPU9+fr64v79+0TAvrKygtu3b6OlpQU7d+6Eubk54+cSiYQQNVRmrqqqCvn5+cTfDA0Nxe7duyEUColg1cjISKNAxMbGBjt37sSWLVtQV1eHmpoazrlRmgyk7uvro8cNLCws/EHKIA0NDWFra6syMAsJCcG+ffvU7mtmZoYYhcDG1tYWP/3pTzE3N0fPWhsfH6f/3YgZyNTUFGdpKRc2NjY4fPiw1rMCHR0d4ebmxnidKisr6cWFwsJColdI0RUzKCgIxcXF9M/a2tqwbds2lVkTdubW0dERurq6jGNYXl7GmTNn8MEHH6jsS3vz5g0qKioY26ysrLBt2zalv2NnZ4fs7GxkZmais7MTDQ0N6OjoULp4oMzN9PLly0r/xttgbGys9aiFt2FmZgYzMzNa/56dnR2Sk5PpkmsuuBaOAgMD8fLlS/r/s7OzuHnzJvLy8pTem75LMUf1AD5+/Fjl6xAYGEgYCfHw8CiHF3M8PDzfK8zNzZGXl4fm5mbk5+cTAXJXVxd+97vfISMjAzExMXRwxNUroq+vj7KyMjx9+pT4WVRUFHJycuigiO0+qG6lnI2hoSGSkpIQHx+PtrY2VFVVEb1g6mhra9Pq8dpgYmICGxsbWFtbw8bGhv4yNjbGmzdvcPbsWaW/q0mPkkwmw82bN4mMW2hoKKPEcGxsDJ2dnfD19YWZmRnDDU8mk2F6epoQeRMTE+8sYJdKpSgvL6fnxNnZ2WlsypCQkMAQUmNjY3jz5g0MDAwIk5jAwECGm2ZwcDBDzC0sLKC3t1epa+vg4CCRHaKGdl+8eJEhnFZWVmhBx1WGt7i4iJs3bzK2aVPSKxKJ4O/vD39/fywsLKCiooJRzvpdIRQKYWZmBktLS1hYWMDCwoLx/ezsLL799ltOww0uBAIBdu3aBXt7e0xMTGBiYgKTk5P0v5osuGiDo6MjUlJS4Ovrq3ZhSF9fH0KhkJGtjI+Px8LCAqOk8fXr1ygtLUVqairnfr4rMTc6Oor8/Hy140fCwsK06vnl4eHhxRwPD8/3EIFAgNDQUHh5eSE/P58o2xOLxXj06BFaWlqwa9cu2NracpbtlZWVoaqqitiekJCAzMxMRoDFzsxp66hIIRKJEBwcjODgYAwMDKCqqkpt2eG7QCgUQiAQENm8Xbt2wd/fX2nJ6Pz8PGcpIvsx6igvLyf6aMLCwrB7924MDQ0xjCDKy8s553AJhUJYWVnBysoKAQEB9HaJRILJyUlC5LHnFWoClcWjxi+IRCLY2dnBwcGBFni2tracGRQfHx9YWVlhcnKS8VzYBhi6urrIyspibLOysiJs7VtbW5WKOXZWbtOmTfDz84NQKEReXh4uXrzImOO1urqKs2fP4vjx4wznVLlcjtu3bxMz9bZs2cIYWq+MlZUVDA0N0eJycHDwrQxI2Ojp6REijfrezMxMaSZrbm4O586d01jIAeuvxd27d3Hw4EGij48a+q4o8KjvuTLtqjA0NMT+/fvh6empcZmhQCCAkZER431aWVnBgQMH8MUXXzAWm4qLi+Hs7Mw5R/Fdi7nFxUUUFRWhvr5e6YJKZGQkkpKSYGZmBoFAwJdW8vBoCS/meHh4vrcYGxtj//79CA4Oxv3794kgcnBwEF988QWSk5Ph7e1N/D6XkEtPT0dycjIRcLxtZo4LU1PTd7IfExMTmJqawtTUlPG94hclPv+//+//Y/yuvb29UiEnlUpx7do14rmzZ9epC96HhoYYWSdgPcO6fft2CAQCJCYm4vbt2/TP+vr60N/fDxcXF7XPHVg3cbCzs4OdnR1j+9raGiYmJmiRt5FskVQqpXukKJt7HR0d2Nvb0+LO0dERVlZWEAqFiI+Px7179+jf5xqMnJqayjkjMCgoiCHm2trakJOTQwiWhYUFYgEgOjqafpyuri6OHj2KS5cu4c2bN/RjFAUd9dpWV1ejs7OTsS9vb2/ExcURxyeRSDAyMsIQborC9W1wcXHhFGyaljMrsry8jHPnzhEiy9vbG/Pz84wxAIaGhgzBJ5PJcO3aNRw5coRxz1Ac+s4WSWtra4TAUzXjTiAQqHXF5IIt5paWlmBqaooDBw7gzJkzDDF1/fp1/OQnPyHOs3cl5qRSKWpqalBSUqJ0Fqerqyu2bdum0aIADw+Pcngxx8PD873Hz88Pbm5uePLkCTFXSiaT0QYM6sjOzuYMYgEyM/c2ImxiYgLl5eVoamrakMlDdnY2XFxcaJGmzWwmY2NjhjhTNbyay5XO19cXWVlZDGfPtbU1rK2tcQaGYrGYcAgVCATYu3cv3bMYEhKCoqIiRvBdXl6OI0eOaPy8uNDT06PF1ruchSeRSIiRCbq6unBwcICtra3K37W2tlZ6jgUFBTGcDpeWltDd3U2Ih/r6esbrKRKJiB4kXV1dHDlyBJcvX2Y4Mq6treHcuXM4duwY9PX18fjxY8bvGRsbY/fu3ZDL5RgfH2cIt9HR0e/ElMTb21tln5c2iMViXLp0iTAscnJywsGDB3Hp0iXG9uTkZExPT6OmpobeJpVKcfnyZeTl5SnNjCqip6cHBwcHWrSsra2hr69P6SLH0tISXfZKGRppAvueQ92T3N3dkZGRwTh3lpeXcfXqVXz88ceM+8O7EHOvX7/Go0ePlI5VMDMzw9atW7UeOcHDw8MNL+Z4eHh+EBgYGGDnzp0ICQnBnTt3NDa8ANbFBeWupox3UWY5NDSEZ8+evXXvW2FhIVJTUwnre00wMTHRSMy1t7cThhhmZmbYs2cP59+cn5/nNA0pKCggsjdJSUkMp0aRSIS4uDgUFBQw/v74+DhsbGw0e2IqeP36NSNbpgx3d3f4+vpieHgYQ0NDWmWdxGIx+vr61Fqy5+TkKH3PqOHZir1wLS0tDDEnlUqJQcwhISGciwuUoLty5Qoj+7a2toZvv/2W8xhMTExw7do1DA8Pc/aZagp7ZqIqXr9+jbq6OkRFRW347wHrCzfXr18n3gMrKyvk5eVBT0+PGEeyurqK7du3QyKR0KW1wLpgv3jxIj744AONM8QUZWVlarPVlKD78MMPNRZ0ysQcACQmJmJgYIAxvHtwcBAFBQXYvn07ve1txNzk5CQePXpEZHIpdHR0kJSUhISEBOjq6mq8Xx4eHtW8/fAQHh4envcINzc3/PSnP0ViYqJGq8JCoRD79+9XKeSAjZdZyuVy9PT04Ny5c/jqq6/eiYmJRCJBYWEhvvzyS43mOSnCFqHsXikAmJ6exq1btxjbRCIRDh48CENDQ86gmCt47ejoIISHo6MjpzlDZGQkMfSbLSY3wvDwMK5evUr08+zYsYPoyxsYGEBQUBD27duHn//85/i7v/s7fPjhh8jMzERgYCDhkLoRqOHfylAcAwCAGNL96tUr4rWOiYlRuj8dHR0cOnSIsweRi9HRUfT29mol5EQiEZycnBAdHY09e/bgpz/9qcZ/j6KgoECrBRg2crkc9+7dY4gZYL2U+fjx4/T1yj7HVldXIRAI6IUgRcRiMc6fP885hkAZU1NTGpfzLi8v4/Tp00rn9bFhl0MrijmBQIA9e/bAwsKC8Zjq6mpGSS77fdVEdK2srODRo0f43e9+p1TIhYSE4Oc//zlSU1N5IcfD847hM3M8PDw/OHR1dZGZmYmgoCDcuXOHc7YVRVBQEMNMQxnaZubkcjk6Ojrw7Nkzla6VOjo6au32MzMz8fz5c0J4jY2N4dtvv0VkZCQyMzM1Gr7LPm62SJVIJLh69SrRB5OVlcVwQjQxMWGYyrCPbXFxkRhDoKuri3379nFmpvT19REdHY2ysjJ6W1NTE9LT0zWakcbF7OwsLly4QASwSUlJiIqKgpubGzo7O2mhJ5FIUFRUhN27dwNYD/ypAd0US0tLdOaO+tLGAOPzzz9HZmYmfHx8OBcbgoKCGKWPKysr6OrqosUR2/jExcVFbU8SJejOnz/P2cOnLdbW1nBycoKTkxPt+EmNWKD6LF+9eqXVPsViMW7duoUTJ05saIh1UVERI7MGrJ9Tx44dY4hw9iIEdZ4LhULs2bMHUqmUYfdP9RmeOHGC6MnkIj8/X6uRIYpOo6pGRwDkAhLb3MXAwAAHDx7EyZMnGcdw584d2NnZwcbGRqvMnEwmw4sXL/D06VOlcwQdHR2xbds2rbOXPDw8msOLOR4enh8sDg4O+Oyzz1BcXMwQCYo0NzdjZGQEaWlpCAgIUJrN0zQzJ5PJ0NraimfPnmFsbEzpsVHixdramsiCsXF0dMSf/dmfobCwkMh0Aes9VK9evUJ2djZCQkJUZiTZYo4dpOXn5xOZguDgYERHRzO2mZqaMsoQFbNFcrkcd+7cIV6zrKwslfPbYmNjUVlZSYtbmUyGysrKDVmZr6ys4Pz584TIDAkJQUZGBoD1mXKRkZGMPsuGhgbExcUpDdyNjIzg5eXFKH1cWFig+8pKS0tVHtf4+DguXrwId3d3ZGVlEULMzMwMLi4u6O/vp7e1trbC19cXIyMjRCZWVVaOYnh4GLW1tVpncYF1l0xF4ebo6EgIIgqJREKUdALrmTsvLy90dHTQ2+zs7ODs7Mx47fv7+1FRUYGkpCStjrG6upq4vkUiEY4ePUq8j1xllhRCoRD79u2DRCJhHCsluE6cOKGy7Lejo4N47tHR0airqyN6RhUzxepGR1CoKrOkcHBwQE5ODu7evUtvE4vFuHLlCj777DONxVxvby/y8/OVLoQZGxsjMzOTnqPIw8Pz3cGLOR4enh80QqEQ6enpqK6u5hxPAKwH2FevXoW9vT3S09OJrIlUKiUyVWxRJJFI0NjYiPLycpWW+MbGxoiLi0NUVBR0dXXx+9//nvi5rq4uY+ju1NQUPDw8sGPHDoSHh+PevXtEkLW0tISbN2+ioaEBO3bsUCqaVJVZNjc3EwYyVlZW2LlzJxGwmZqaMv6vKObq6+sZwTCwbpyyefNmzmNSPLbw8HCGYK2vr0dKSopGWUcKysCCbYLh5uaGXbt2MZ5LWloampqaGP1djx8/xvHjxzX+eyYmJvDy8kJzc7PGv9PT04Mvv/ySFpeK2aOgoCCGmHv16hUkEgmRlTMxMVGaVRaLxWhpaUFdXR0GBwc1OiYDAwOGcHNycoKJiYlGv7u2toZLly4RmT8dHR0cOXKE4X4KrGf3srKy8ObNG8b1UlRUBG9vb437yFpbW/Hw4UPGNoFAgAMHDnCWtKoSc8D/lBNfvHiR4QRK9bh9/PHHsLS0JPYrkUjw6NEjxjZjY2Ns2bIFAwMDjAWS1NRU9Pb2ajQ6QhFNxBywXrLc39+PhoYGetvExATu/v/t3XlYFHeaB/BvN819g8ghl4ByeKDIIYoiGjyIJh7xPuOYxMlMJjM7mewms5NjZndmkszuJDuTTJJJjPFOjEajOdQYxAMU7yvK5cUhgiAiNw21f/B0TVdX9QEC2vr9PA9P2urqqmopK/XW+/u9744dZoO5mpoa7NmzR5Kd1Keb3zpmzBijQT0RdS/OmSOih55KpcKLL76I559/3uR65eXl2LhxIz7++GMUFRWJT8+VelXpbqxaWlqQnZ2Nd955Bzt37jQayLm7u2PKlCl4/vnnkZKSAgcHB+Tm5sqKbCj199KfS9SvXz889dRTmDhxouLclMuXL+Mf//gH9u3bpzh809gwy8rKSsnTfOBfw/OUbtoMb/J1QaGuSILhPg2DKGNGjRolWa+lpUVSadAcXVbQsHlxnz59MHfuXHE4oP73GD16tGRZUVGRLPgwRRfIdKVf4NmzZ/H3v/8de/bsER8YxMTEyLZ/5swZWbA4YsQI2ZDVyspKfPvtt/if//kffPXVVxYHcn5+fnjxxRexaNEipKWlITIy0uJArrm5WXEIp62tLRYuXIjw8HBZ5UNvb2/Y2dlh+vTpkt+3rrm8uaHHQMe5btjsHOiYDxkVFaX4GaU5c4Z0AahhMFhXV4c1a9ZIHrToHD58WDbn75FHHoG9vb1s+GRlZSXmz5+PsLAw2bGsXbtWEsjrszSYAzoK7RgGxOfOnZMEqMC/gtuWlhZkZmbi3XffNRrIRUZG4tlnnxW/FxH1DgZzREToyNB5eHjg1VdfxSuvvIK5c+caLSNfWlqKdevWYfXq1bhy5YpixUeVSoV9+/bhr3/9K/bs2aNYSAToCCKmT5+O5557DomJiWIAVldXJ2uXEBAQgGHDhsme/BsGiLp+Zj/72c8Ub1rb2tqQlZWF999/X3aDbXiDXl9fj5aWFnz++eey6oNTp041+neklJlra2vD1q1bZdt57LHHLK7+6enpKSsCcuTIEYsrI2ZmZuLMmTOSZS4uLli4cKHR7F5ycrLs72XPnj0WleHX9TQzDP6U5n0NGzZMcf5fW1sbsrOz8X//9384fPgwnJycZIHEjh07JAGOWq0Wqz9qtVqcPXsWq1evxnvvvWcyC21MeXm5LJNpicbGRqxdu1Y2hNPe3h6LFy9GaGgoAMiCOd1wxeDgYIwaNUryXkVFhawvoaHr169j06ZNsvlp48aNM5kBNjZnzpCuV59hluz27dtYs2aNZJ5kbW2tbHhtYGAgYmNjAUAWzJWWloqVRpV61q1bt05xSKxSMGesUbetrS1mz55tNuiytbXFmTNn8Pe//x379+9XDKJ9fHywePFizJs3TzErSUQ9i8EcEZEBlUqFqKgorFy5Ek888QT69OmjuN61a9fw6aef4oMPPpC9984775hsmBsQEIA5c+bg2WefRWxsrCyDsnfvXtkNt66JtuENk7Eqf+7u7pg7dy7mzZunGCRUVVVhzZo1+PLLL8WAVCkzt3PnTtnN9vDhw8WbUSVKwVxWVpas8l98fHynKxsaZsoaGhokQ8aMOX78uGzulK2tLRYsWGCyEqWdnZ04j06noqICp0+fNrm/O3fuYPXq1bJMim6fhvOrQkJC8POf/xwTJkxQvMlubGzErl278O6775otAjJo0CC0tLRgz549+Otf/4qtW7fi6tWrRtd3dXU1W8DD3Hw/Q/X19VizZo0s++fo6IilS5eKRTFaW1tl2Sz9f3Pjxo2THduhQ4eMzvGrrq7G+vXrZUMG4+PjMXbsWJPHbG6YpeG6CxculGW4bt26hbVr14r/pvbs2SN72KD7twzIg7mamho0NDSIAZ1+c3LgXwGd4e/TMJhrb283efxeXl6YPn260fcB4Msvv8SXX36pWI3W0dERU6ZMwcqVK2VZRCLqPQzmiIiMUKlUGDRoEH76058qlvXWUXr6bSxTFBoaikWLFmHFihVGC6qUlpbKgpPY2FgxC2B4HNXV1UafwAMdw59+9rOfITk5WXF/uifvx48fV7whNBy+5+fnJ+lNpcQwmKuqqsLBgwcly7y9vTFx4kST21Hi5+cny1hkZ2ebzJQVFBTg66+/lixTqVSYPXu22WqPQMffv2EWMjMz02iJ/urqaqxatUpW5MbBwQFLlixBeHi4LICsqamBra0tUlJS8NxzzyEhIUExaLt165bZqpN5eXn429/+huzsbJPD7SIiIjB37lz88pe/lP3ODJ0/f97i7NydO3fw6aefyuZuOjs7Y+nSpZK/c6V+ffpzOjUaDWbMmCF74LFt2zbZ339dXR3WrVsny5bHxMRIAihjLBlmabj+4sWLZefGzZs3sWbNGly8eFE2vDYuLk4SwPXt21c2vFf30EOj0WDu3LkYMGCA5H1dWwT94cJKRZdM/e4BICoqSpb5NEelUiExMVEcTdCV6qJE1H34L5CIyAy1Wo3Y2Fj87Gc/w7Rp0+Du7t7pbURGRuInP/kJli5divDwcKM3lYIg4LvvvpMss7Ozw4QJE8Q/G2bmWltbjTb31t/GxIkT8fTTTytWxGtqasLOnTvx+eefm9yOvb09Zs+ebbZXlFJgoB9w6ioDdrXnlGF2rqamxuhcHlO95Axvko1Rq9VIT0+XLLtz5w4OHz4sW7e8vByrVq2SZZtcXV3x5JNPikG54Xl0+/Zt8bWzszMyMjLw7LPPWtQaw5CpPnBOTk4YPXo0fvGLX2DhwoWIiorCnTt3ZENBJ02aJMtUWZKdu337NlavXi0L/FxdXRVL+Btmfd3d3WXnha+vL9LS0iTLbt26JWkkr5ubZzjsODQ0FDNmzLAo6DD8vq2trWZbCTg5OWHx4sWyokIVFRX47LPPJMscHBxkWV61Wi17oKCfwTbWC1AX0OkCe1tbW1lQaC6YAzrm4Zrrb6gTFhaGlStXYsqUKZ0qOkREPYfBHBGRhWxsbBAXF4fnnnsOGRkZZjMZQEcp8J/+9KeYN2+e0Sp0+s6cOSPrOzd27FjJvtzc3GRZCksbKvv5+WH58uXIyMhQHMpnrkHx448/btG8GHPFMcaNG2e2b5YpoaGhss8fPHhQFrDV1NRgw4YNskxpSkqK2eqZhsLDw2XDyQ4dOiSZD3nt2jWsXr1aFlx7eXlh+fLlkgyOqWBOx9vbG3PmzJEEgV0VGhqKWbNm4d/+7d/wyCOPSDK8hplge3t7xMXFISkpSbL83LlzsuBL361bt7B69WrZ+ejh4YEnn3xScciysflyhpKTk2X9yo4fP46CggJotVp89tlnskygr6+vYmEbY5T+TVgyv9DJyQkzZ840u15aWpri/FBTwRzwr4DOcA6sVqvFhg0bcOnSJahUqk4VQdG5ceOG2UDX09MT8+bNw6JFi4zOkyWie4OtCYiIOsnGxgYJCQkYNmwYDh06JCtUoq+8vByHDh1Camqq2SCoubkZ33//vWSZl5eX7IZaN29OP/NRXV2N4OBgi45frVYjISEB0dHR2LVrV6eqLNbW1uL48ePQaDSSH11WQP/HmODgYFlmrbNUKhVGjx6NzZs3i8tu3LiBoqIicY5RU1MTNmzYYLKXXGf3mZ6eLpkj2dLSgn379mHq1KnIz8/H5s2bZUUi/Pz8sHDhQlmAqzTM0pjg4GAsX74cFy5cwPfff2+yvYU+BwcHxMbGIj4+3ujcT13zZ32DBw+GnZ0dRo4cicOHD0syffv371cMXHRDCw3nV3l5eWHJkiVGM9pKlSyV6Bp3v//++5LgfPv27fD19ZUNPfXw8MDChQtlQydNUVr3xo0b0Gg0qKurw507d1BXVyf+6P5cX19vcqgz0JE50xWlMWSYLTcM5oCO684TTzyBLVu24MKFC+JyrVaLjRs3Yt68eXB0dJQUXzEWzAmCgMLCQuTk5JgdsvvII48gKSnJ4oCYiHoX/2USEXWRra0txo0bJ1auVCIIglg2ftiwYRg7dqzRYhsHDhyQBR6TJk1SvIny9PSUBXOd5eLiglmzZmHYsGH4+uuvLQoQDIeAdoW/vz+Kiorg7e0NDw+PLs+5iYqKgre3t2TO1aFDhxARESFmagyH+oWGhlrcBkGJn58fhg0bJslknThxAo6Ojjh06JDshj4kJATz5s1TDBIMg5va2loIgmD02FQqFWJiYhAZGYkDBw6YfIgQGBiIESNGYNCgQWaHsl66dEmWFYyLiwPQUeQiKSlJUjjm3LlzSE1NlQRdFRUVWLNmjSwjqat0aCqLbRjMGQs6gY7AcNKkSdi5c6e4rL6+XlZSH+jIaN+4cQPFxcVobW1Fa2srWlpaFF/rfpSCnzVr1hg9ns5obW3FjRs3FOdoGmaZ79y5gzt37sj+3mxsbDBr1ixs3bpVMqxYF9AZDgk1/D66yqY5OTkWzX+cOnVqpzPYRNS7GMwREd2l1NRUDBw4EGq1Gt9//z2Ki4tlQ7MEQcDJkydx+vRpxMXFyYZOVlVVIScnR/KZiIgIo5UeLa1oaYmwsDCkpqZi27ZtXd5GZxw5cgRHjhwB0JFt8fT0hLe3N7y8vODt7S3+uLq6mgy61Go1Ro0aJel/d+XKFZSWluLIkSOyXnI+Pj6dGnJnTFpaGs6dOydm4ARBkBV3ATrmSc6aNctoMGUY1Le1taGurs7s8N3W1lYUFBQYfd/Ozg5PPvmkxUGyYVbOz89PEnCMHDkSR44cEbNzgiBg//79mDFjBoCOoblr166V9Vv09fXF4sWLTbadaG9vlxVAMTbMUicuLg4XL1402+vvq6++Mvn+vfDJJ59gxowZsnmQ3t7esLe3l1w3SktLFVuL6AI6lUqF8+fPi8uV5vbpgrmGhgYcO3YMubm5ZufXAh1FWaZPn262wikR3XsM5oiIuoHu5nfhwoVobGxETk6O5AZYp729HceOHcOpU6cQHx+PlJQUODs7Y/fu3ZJqjGq1GpMmTTK6P3O95iwhCALy8/ORmZmJGzdudPrz3UF3M69U0VCj0YiBnS7Q0/3XyckJKpUKQ4cORWZmpiSj+dFHH8m2peslZ27IXVtbGxobG8WfpqYmyZ91y8w1rY6NjcVjjz1mMqBycXGBjY2N5Ca8pqbGZDDX1NSEdevWKQ7D02lpacGRI0eQnJxs8hiBjqzWxYsXJcuGDx8uCaKdnJyQmJgoCVjPnj2LsWPHin30DB9eBAQEYNGiRWaLZNy+fVv2d2kqM6fTv3//TjVu7y0qlQrOzs5G+0q2trbi888/x/jx45GSkiL+PatUKvj7+0seQJSVlRltbq4rIKRWq2XVZvWVlpbim2++walTp0z2YnR2dkZiYiLi4+MVq2IS0f2LwRwRUTdzdHTE+PHjMXLkSBw6dAi5ubmyG1atVovDhw/j+PHjijdZSUlJZoeb6auqqjI5RE+fIAgoKipCZmamyaBAx8HBAf3794dWq4VWq0Vra6v4Wn9ZZxtRm6PVanHjxg3FQNPBwUEM7CzZ77Bhw1BQUCAJzpQCNUubj5syZMgQPP7442Z/FyqVCu7u7pKs6u3bt2VFPnR01RoN+7YZZnQA4IcffsCAAQPMBkanT5+WPETQaDQYMmSIbL3k5GRJc3ZBELBu3To0NDTIHlgEBwdjwYIFZhtSA/Ihlg4ODiaDievXr+Pbb7+V9e7rLYGBgXB1dYWLi4v4o/9nZ2dnqNVqHDp0SDb/Vd8PP/yAqqoqTJ06VcwUBwQEyII5U3RzCFUqFc6cOaO4zpUrV2QZan0+Pj5ITk7GkCFDOCeOyErxXy4RUQ9xcnJCeno6kpOTceDAARw/flw2FEopeHB2dkZqaqrJbRv2mmtubkZjY6PZp+qXL19GZmamxTfDUVFRmDt3rsl1Ghoa8PXXXxttDWAoMDAQN2/eNNpQ3RJNTU0oKyuzKBgFoDgMsqcUFBTg2LFjGDFihNmhjobBnLEiKM3NzVi3bp2s0qmLiwuWLl2K+vp6rF69Wlyu1Wqxfft2k8MtBUHAiRMnJMtiYmIUs2m67NyhQ4dMHmv//v0xb9482NnZKe7TkFIlS6UguL6+Hnv37pUNCTXFwcEBtra2sLOzg62trey10jI7OzvJsF1D/fr1w6RJk8wG6oZDTpWcPn0a1dXVmDt3LpydnRWLoJh7QKNWq8UHB+aa2Ovr378/kpOTERER0eX5o0R0f2AwR0TUw1xcXDBlyhSMHj0a+/fvx8mTJ002uK6vr0d+fj6io6ONPi3XFQ7R3051dbXRYO7atWvIzMw0+ZTecMgfACQkJJj4ZkBhYSG2b9+uOKzMzc0N7e3tkvdCQkKwbNkyAB1BYHV1tTjMUv91d2TI7pWmpiZxaNujjz5qsgWDJe0JdBk5w0BO14C7T58+6NOnD5KSksS5iABQUlKCw4cPG20KXVxcLBveqit8oiQ5OVkSzBkaMGCART0I9ZmrZNnW1obc3FxkZWV1OvM7fPhwpKendzpYOXbsmNEWHUeOHEFbWxsyMjJMbtcwmIuPj4enpyf27NkjWV5cXIyPPvoI8+fPl50njY2NqKmpkT24MaTVauHv7282mFOr1Rg0aBCSk5MVi7AQkXViMEdE1Evc3NwwdepUpKSkICsrS9bbS9/WrVvh6OiIoUOHIi4uTtbbSa1Ww8PDQ5LVqa6ulvUiKysrQ2Zmpsn5RV5eXkhNTUVNTQ0yMzPF5U5OTggNDVX8TEtLC/bs2YNjx44pvh8bG4vJkyfjypUrksbJV69eRV1dHVxcXODk5AQnJyfZMQuCgLq6OjGw0w/0bt26ZbaJc3exs7ODo6MjHBwc4OjoKP44ODggOzvb7OfLysrwz3/+E/Hx8Rg/frxixsuwCIphMKcL5AwzqfqBnM6ECRNQUFAgOSd0wy2ViooYZuW8vLyMtrcQBEE2vNNQc3MzTpw4gcjISKMVWw2ZqmRZWFiIXbt2mexrZ0pOTg6ampowderUTlVMNezhaOjYsWNoa2szuV3DrLOjoyNGjRoFb29vbNmyRfKwoqamBqtWrcKsWbPg5OQkqUBZVlZmNJi7c+cOcnNzcezYMbNZ7uTkZCQlJRltD0FE1ovBHBFRL/Pw8MDjjz+OwYMHY926dUbXa2xsFCs/BgYGYvjw4WL/L6Dj5lv/xl2/CMqNGzeQmZmJvLw8o9t3d3dHamoqYmNjoVarJf3TACA6OlrxZrW0tBRffvmlYtESR0dHTJ06FTExMQA6Gm3b2dlJ5lX9+OOPSExMNHpcKpUKrq6ucHV1lQWT7e3tuH37thjgXbt2TVLRT4mTk5MkEFN6bfjj4OBg9Kb+8uXLFgVzOseOHcOFCxeQnp6OoUOHSjI6hjfX+kMXW1pasGHDBqOBnGGAZmtri8cffxyffPKJuKytrQ3bt2/H8uXLJb/LpqYm2d9bXFycYrbp+vXr2LNnj9l+ZNeuXcO1a9fw3XffwdfXF5GRkYiMjIS/v7/RLJbSMMuqqirs3r0b+fn5Jvenb/LkyQDkrTNOnjyJ5uZmzJw502yQpmO4XlBQEEpKSiRtJ06ePIm2tjY8/vjjiv9GDDNzukA+MjISy5cvx8aNGyX94Jqbm7Fx40ZZa4vS0lIMGjRIsqyiogI5OTk4e/asRQ82fvWrX8HNzc3sekRknRjMERHdI+Hh4Xj11VeRmZmJ/fv3m1y3pKQEJSUl2LVrFwYPHoy4uDjZE/vq6mpUVlZi3759Juevubq6YuzYsRg+fLh441pVVYXy8nLJeoY3kW1tbThw4AD279+v2CA5IiICjz32mKQao62tLSIjIyUV98wFc6boWhl4enqipaXF7NCy4cOH47HHHuvSvpQIgmC0pyAATJs2DTk5ObIgpb6+Htu2bcPJkyeRkZEhZlqVMnOCIKC1tRUbNmzAtWvXJO87OTlhyZIlRsv3BwcHi42+dUpLS5GdnY2UlBRxmX5rBaDj7zU2NlayrdraWvzwww+dmouloytcs3//fri6umLgwIGIiopCaGioOHS4oaFB1gft1KlTyMvLMzoMeejQoXBxcZEE0zY2Nhg6dKgYhG/fvl1yfv74449obm7GnDlzLJrLZxjMRUdHY+TIkdiyZYvkuM6cOYO2tjbMmDFD9hnDTJl+FVU/Pz889dRT2LRpkyTbqfRvSjfcUxAEXL58GTk5ORZX8Vy8eDHCwsIsWpeIrBeDOSKieywtLQ3jxo1DY2MjLl26hBMnThjNgrS0tODEiROyIXIAxObkSjeFQEdGJyUlBfHx8bK5eIbBn7OzM0JCQsQ/37x5E19++aViwRFbW1tMnDgRI0aMUMzAxMTESII5/aGWXdXe3o4vvvjCbAGU06dPY8yYMWbnHVnq0qVLsgBLn7+/P1auXImcnBxkZWXJqphevXoVH3zwAUaOHInU1FRZZq6lpQW1tbX48ssvcfXqVcl7Tk5OWLp0qWzIraHx48ejoKBAkjndt28fBg4cKH7W8PyJjIwUfx/Nzc04dOgQcnJyzLZgsMSdO3dw/PhxHD9+HHZ2dggPD0dkZKRim4gLFy4obiMgIACTJ09GYGAg3n//fcl70dHRYuYrNjYW9vb2+OKLLyRZq6KiIqxbtw4LFiww257C8N9GW1sbYmJiYGNjg82bN0u2e/78ebS1tWHWrFmSzxnLzOnoCtd89dVXOHfunNFjKSkpwenTp3H48GHZwxZDAwcORHJyMkJCQljUhOghwmCOiOg+oFKp4OTkhMGDB2Pw4MGorq7GyZMncerUKaM9q5QoBXKOjo4YPXo0EhISjGYmDIfc6YZYCoKAY8eOYffu3Yo39v369cOMGTNkhSv0dWWopSmCIGDnzp2yxtnu7u6YO3cuVq1aJR5re3s79u/fj8cff7xL+zLcr6msHNCRkbGxsUFKSgoGDx6M7777TjbUtb29HdnZ2Th37hwmTpwIlUol+b394x//kBX70GXkzAVyQEdwPX36dKxatUrcbltbG7Zt24af/OQnqKiokBX4GD58ONrb23Hy5ElkZmZa1Fha36hRo8TCPaYqOba0tODChQtGgzZDzs7OmDBhAoYNGwaVSoXS0lJUVFTIjl1fVFQUFi5ciI0bN0rmphUXF+PTTz/FwoULTT5IMMyy6c6lyMhIzJs3D5999pnk38LFixfx+eefY86cOWJAZy6YAzp+TzNnzoS3tzeysrIUj0Wr1WLbtm0mjzU2NhYjR44022ydiB5MDOaIiO5DXl5emDBhAtLS0pCfn4+TJ0+ioKDAaNZNib29PUaNGoWkpCSTPb9u3rwp6+U2aNAg3LlzB9u3b0dRUZHsMyqVCqmpqRgzZozZ4hLdPdQyKytLVqLe0dERixYtQp8+fRAfHy8ZZnj69GmkpKSYDDgtUVRUJKsoaUg/CPPw8MC8efOQl5eH7777TlbKv7a2Fl988YXJbQAd323JkiXw9fW1+FgDAwORnJwsGY54/fp1HDp0CHfu3JGs6+bmBkEQ8P7776OyslJxe4bBuCGNRoPp06ejvb0dxcXFyMvLQ15enmROZ2eo1WokJSVh7NixkkyaYUbRw8MD/fv3l32+f//+WLp0KdavXy8JrMrLy/HJJ59gyZIlRouBGAZz+pm4iIgIzJ8/Hxs3bpQEdAUFBdi4cSPmzZsHGxsbxd+hEpVKhXHjxqFPnz7YsmWL4jpKHB0dkZCQgISEhLvKcBOR9WMwR0R0H1Or1YiKikJUVBRqa2tx6tQpnDx50mg/Mn0BAQEICAgwWyrecIili4sL6urq8PnnnytmWby9vTFjxgxZXyxTumuo5YkTJ2RZDI1Gg/nz54uVEEePHi1pxi4IAvbv348ZM2Z0al/6BEGQVPoEOgIJOzs7SaZIqapgZGQkwsLCcODAARw6dMhkWwpDXQnkdHQPAvTn7xl+B6AjqNy4caPiNlQqFeLi4jBu3Dh8+OGHskBQp7CwEGlpaVCr1QgJCUFISAjS09Nx8+ZN5OXlIT8/3+LehgMGDMCkSZNkwXdLS4tsSOLw4cONDins168fli1bhrVr10qy29XV1Vi1ahUWL16s2FRdaZilvrCwMCxatAgbNmyQBLiXLl3Chg0bFLPAxoZ2Njc3Iy8vz+IejV5eXkhOTkZsbGynWkAQ0YOLwRwRkZVwc3PD2LFjMWbMGFy6dMlkJUygo+ri5cuX4ebmhuHDh2P48OGK2QjDIZZ1dXVGswQJCQlIT0/v9I1kdwy1zM/Px86dOyXLVCoVZs2ahaCgIHGZi4sLEhISJFmps2fPYsyYMYo375YoKCiQzc9LTU2VFQcxViLe1tYW48ePx9ChQ/HNN9+YrQypo9FokJOTY7bypqOjoyxDqsuWffzxx53K6OoMGDAA6enp8PHxQXFxsdFADugooV9fXw9nZ2dxmUqlgo+PD3x8fJCSkoK6ujoUFBSIWTslCxYswIABAxTfO3/+vOT8UalUGDZsmMnv0LdvXyxfvhxr1qyRPACpra3FJ598gkWLFsl6rhkbZqkvJCQEixYtwvr16yVZuCtXruCjjz6Sra+fmWtubkZ+fj5+/PFHFBQUWFSRsl+/fkhJScHAgQM71WaBiB58DOaIiKyMSqUSK2G+8cYbZntM1dbWIisrC1lZWYiIiEBcXBwGDhwIGxsbVFZWyuYgKXFxccHjjz+OiIiILh3z3Q61LCkpwebNm2VByZQpUxAVFSVbf/To0Th27Jh48y8IArKysjBr1qxOH7vSXDkvLy8MHTpUFpSY+1306dMHixcvxrlz57B7926z8yHv3LmDM2fOWHSc9vb2ioFeZwM5X19fTJw4UVIJ0TBz5Onpibq6OsmctKKiIgwdOtTodl1cXDB8+HDExMTgf//3fxWHbZqa92U4tDYiIsKikvuenp5Yvnw51q5dKxlG2tDQgE8//RTz58+XFPsxNcxSX1BQEJYsWYK1a9dKfu+G8w1tbGwgCALOnTsnBnCdLSzz5JNPWtxagYgeLgzmiIis2L//+7+joaEBjo6OuHz5Ms6cOYPz588bvVksLCxEYWEhnJ2dERsbazLbojNo0CA8+uijRuf9WKqrQy2rqqpkc5QAICUlBQkJCYqfcXJyQmJiIg4ePCguO3fuHMaMGWNRERF9eXl5soIhY8eOhVqtlg2fM5wrpUSlUmHIkCEYMGAA3njjjU4diynNzc1obm62aAiuEldXVzF7qJ/9EQRBFswNGTIE5eXlkl5whYWFJoM5nZycHKPz7/Ly8pCUlCRbfvPmTdkwTcPCJ6a4urpi2bJlWL9+vSTD2tzcjHXr1mHOnDliRtDSYA7oGMq8dOlSrF27VtZmQf/zb731lkUBnG6Y6u3bt9G3b19kZGRIWn0QERliMEdEZOWcnJwAdMzlCQsLw+TJk3H27FmcOHHCaDnz+vp6s42v7e3t8eijj2Lw4MHdUuq8K0Mt6+rqsH79etmNcmxsLMaPH29yf6NGjUJubq5kf1lZWZg9e7bFx6yUlfP29saQIUMAQFZYxlxmTl95eTnUanWn5tD1BFtbW4wePRqjRo1SHD5bWloqaXANdAT4Li4ukmCuqKgIgiCYPFfq6+uRk5Nj9P2LFy8qBnOGhU+cnZ0xcOBAo9tRoqsIumnTJly5ckVcrtVqsWnTJsyYMQODBw82O2fOkJ+fH5YuXYo1a9YYrQJqKpBTq9UIDw9HTEwMoqKizLZOICLSx2COiOgB4+DgIFa6u379Ok6cOIGzZ89alDXSUalUePrpp+Hl5dVtx9XZoZYtLS3YsGEDbt26JVkeHh6OadOmmQ0wHR0dMXLkSElD9h9//BE3btywuKDIhQsXZJU+U1NTxcxVVzJzAFBTU4PNmzcbDeRmz56NxsZG2U9TU5Pkz/rDHLvqF7/4hcnsqGFWztvbGz4+PrI2Fw0NDSgrKzNZGGf//v0mq2JevXoVDQ0N4gMKoCOYMhxqOnTo0C4NO7S3t8fChQvxxRdfSIbItre3Y8uWLWhubrZozpzh+9XV1XBzc7O4pYNarUZYWJgYwN1t1puIHl4M5oiIHmD+/v549NFHkZ6ejh9//BEnTpywqKqgIAj44IMP0L9/f0RERCAiIgIeHh53fTyWDrVsa2vD5s2bZcMb/f39MXv2bItv5JOTk3HkyBFJkJWVlYU5c+aY/axSVs7HxweDBg0S/9yVzFxLSws2bdpkdFiet7c3YmJizG4H6AgkjAV6RUVFim0l9I0YMcJkIKc0xDImJgYqlQoeHh7o06ePpFpmYWGh0WDu1q1bOHbsmGTZoEGDkJeXJwZMgiCgoKAAsbGx4jr5+fmyICkuLs7k9zJFo9Fgzpw52L59uyxI3LlzpyywUsrMabVaFBUV4fz588jLyzMZoOqoVCpJAKcfsBIRdRWDOSKih4CdnR2GDRuGYcOGobKyEidPnjQ53A3oCDr0Kw96e3uLgV1ISEiXSqNbMtRS1xS8sLBQ8lkPDw8sWLDAZM88Qw4ODkhOTpYEZRcuXMD169dlVQwNnT9/XtZ3TT8rp9u+PnPBnCAI2L59uyzbp68zxTE0Gg1cXV0l86oEQcDRo0clQwmNOX36NNLS0iRVKPWVlZXh9u3bkmX6gWZERIQsmEtNTVXcVmZmpiQTaWNjg0ceeQRtbW24ePGiuPzixYuSYM6w8ElQUFCXq5LqqNVqTJ8+Hfb29jh69KjkPcN2HLpgTqvV4tKlS2IA15lMd2pqKhITExnAEVG3YzBHRPSQ8fHxwcSJEzFkyBB8+OGHFn+uqqoKVVVVOHLkCDQaDUJCQsTgztvb26J5dZYMtczMzMSpU6ckn9M1Be9Kg+SkpCQcPnxYEmhlZWVh3rx5Rj/T3t4u62fXt29fWcass8HcgQMHzPYU62ylQ33Nzc3YsWOHrN0E0DFnLD09HTt27BCDKq1Wi6NHj2LcuHGK2zM8Vi8vL8kQ1YiICEmD9pKSEtkwSaBjfqD+7xzoaHPh4eGByMhISTBXWFiI1tZW2Nraora2VhbUd6bwiSkqlQpTpkyBo6OjZCiuoUuXLmHbtm24ePFipwI4AAgODsbEiRM71ZORiKgzGMwRET2k/P398Z//+Z+4ceMGbGxs0NTUhKKiIhQWFsqGNxrSDTMrKirCrl274O7uLgZ2/fv3N5k9MzXU8tixYzhw4IBkfY1GgwULFsiaSFvKwcEBo0aNwg8//CAuy8vLQ1lZGQICAhQ/c/78eUnGCQDGjRsnC1g7M2fu4sWLsqbdDg4OmDRpErZv3y4u6+o8uPLycmzevBnV1dWy94KCgvDEE0/Azc0NV69elQTLR48exejRo2WZVkEQcOHCBcky3RBLHV2G1rBFga5AjM7evXslf7a3t8eYMWMAAAMHDoRKpRJbKOjOraioKJw6dUrSWsHOzk4yzPVuqVQqpKWlwcHBAbt37za6nmE/QSWhoaGIiYlBdHQ0XFxc0N7ezp5wRNTjGMwRET3EbGxsJAFNSEgIxo8fj7q6Oly6dAmFhYUoKioyOr9L5/bt2zh+/DiOHz8OtVqNoKAgMbjz9fWVBADGhlq6u7vjm2++kWxXpVLhiSeeQGBg4F19z8TEROTk5EiG0O3btw8LFiyQrauUlfPz81PsZ6c0Z06pomNFRQW+/PJLyTLddzPMYnU2MycIAk6ePIlvv/1W8bOjRo3C+PHjxXmGycnJkmCuoaEBp0+fRnx8vORz5eXlsuIzhplJjUaD0NBQFBQUiMsKCwslwdzly5dl2bVRo0aJ39vJyQkhISGSYaF5eXmIjIyUDbEcPHiwrPDK3WhrazP74MKUkJAQxMTEICYmRpY1ZiBHRL2BwRwREcm4uLhg6NChGDp0KARBwPXr18UedSUlJSYbUbe3t+Pq1au4evUq9u7dCxcXF4SHhyMiIgJhYWFwcnKSDbXcvXu3JDujk5GRgcjIyLv+Pvb29hg9ejS+//57cVlBQQFKSkpkgeLZs2dRVVUlWaaUlQPkmbn29nZotVpJlquxsRGbNm2SFclIT09HeHi4bF5ee3u7xVmdlpYWfPPNN4qZIwcHB0yfPl3299e3b19ERERIAqycnBzExcVJ9qnUKNzPz0+2n4iICEkwp9+iQBAEWVbOxcUFI0eOlCyLjIyUBXOXLl2S9cy7m8InQEfgWlxcLP6UlZV1OngODg4WAzj2gCOie43BHBERmaRSqRAQEICAgACMHTsWjY2NYralsLDQbOPxuro6nD59Wgw4+vXrJ6sQqFQxcOzYsbJs0d1ISEhAdna2JMu4b98+LFq0SPyzUlbO39/faE8zpZ5gTU1NYjDX3t6OL774Qpbhio2NFQMaw75mQEd2zlwGqrKyEps3b5YFg0BHM+vZs2cbrUCanJwsCeaqq6uRn58vZh+VqlhGR0crBrQRERGSP9fX1+P69esICAjAhQsXUFpaKnk/NTVV9t2ioqKwa9cu8c+NjY2SoadARxBqbFisEkEQxGbjuh/DIN1Srq6uGDVqFGJiYuDm5talbRAR9QQGc0RE1CmOjo5iZkIQBFRUVIjDMa9evWq2Cbbhzb2SYcOGGS3K0VV2dnZISUmRzI0qKirCtWvXEBwcDKBjbpRh4GUsKwfIh1kCHcGcLmOze/duXLp0SfJ+v379MHXqVHGbSlVBzQVzZ86cwc6dOxXn1yUmJiI9PV0xSNTp378//Pz8JE3ls7OzxWDuxo0bsrl3xuaqeXl5wcvLS7J+YWEh/Pz8JPMUdesqFTDx8PCQHY/hQ4Lhw4ebLLLT2tqK0tJSMXArKSmRVabsij59+mDlypVd6mtHRNTTGMwREVGXqVQq+Pr6wtfXF6NHj0ZLS4ska2c4TM5SDQ0N2LdvH3x9fdG3b194eXl1yxyk+Ph4ZGdno66uTly2b98+LFmyBG1tbbKqhv369cOAAQOMbs/GxkZWAERX0fLUqVM4cuSIZH0XFxfMnTtXEmgZy8wpaW1txXfffYcTJ07I3rOzs8Njjz1mUYEQlUqF5ORkyTw+XRAUFBQky8p5eHiYbOUQERGB3Nxc8c+FhYVwdnaWZcL05+4ZioqKkgRz+mxsbDB06FDJstraWknWrby83OyDBGN8fHwQGBiI4OBgBAUFwc3NDTU1NfDw8OhSCw4iot5itcFcXV0dTpw4gdzcXOTm5kp66hhOpO4uOTk5eO+993DgwAGUl5fD09MTsbGxWLZsmckS1/q0Wi0+/vhjrF+/HhcuXEBdXR369euHRx55BL/4xS8sbhRLRHQ/srOzQ2RkJCIjIyEIAqqrq8Ws3eXLly2en5Sfn4/8/HzxzxqNBj4+PmJw17dvX/j6+sLZ2dmilgg6tra2GD16tGRI3+XLl3HlyhVUVVXJgk9TWTkdBwcHWTBXUlKCnTt3StazsbHB3LlzZfOslII5pYxbVVUVNm/erNijztfXF7Nnz+5Uxc9BgwZh7969qK2tFZfl5OQgMDDQ4iGWOgMGDJAEc8XFxbLCIgEBASb/HxcVFSVr0q4zcOBA3L59G+fOnRODN8P+d5bSaDQIDAxEUFAQgoKCEBgYKGsUDnQEeERE9zurDeamTZtm9KLfE37/+9/j9ddflzz1Ky8vR3l5OXbt2oUNGzbg888/V5w/oVNVVYVHH31U9qRWV9579erVeO+997B8+fIe+x5ERL1FpVLB29sb3t7eSEpKglarxdWrV8XgTmmulzFarRbXr1+XBQhOTk5iYKf7r4+Pj8khiiNGjEB2drZkGN/evXtlw/qCgoIQHh5u9tgcHBwkn62srEROTo5sHuDUqVMVq3IqZaoMg97z58/jq6++khVRATqKgkyePLnTGSQbGxskJSVhz5494rILFy4gLy9PllEz96AxJCQEGo1GctyG32HChAkmA8K+ffvCw8NDMZt74cIFWZsES7m6uooZt6CgIPj6+nLIJBE9MKw2mNOveObp6Yn4+Hjk5ORIhs50l48++givvvoqgI6S2i+//DKGDBmCsrIyvPPOO8jMzMSOHTuwYsUKrFu3TnEbbW1tmDlzphjIzZw5E0899RS8vLxw5MgR/Nd//RcqKirw9NNPo1+/fpg0aVK3fw8iontJo9EgPDxcDJAKCgqwYcOGu9pmQ0MDrly5IhuN4enpKQnw9Idq2traIiUlBd9++624fklJiWzblmTlAPm8Of3gSCcpKQnDhg1T/LxKpTIaCGm1WuzZs0eS9dKxtbXF1KlTZcMPO2PEiBHYv3+/pD/eZ599JlnHzc3NbNNrW1tbhIaGyloQ6ISHhyMsLAxAx/+/m5qaUFNTo/hzN1QqFfz8/MTALSgoCO7u7ne1TSKi+5nVBnMLFizA008/jcTERLGSVmhoaLcHczU1NfjNb34DoKMc8eHDh9GnTx/x/alTp2LGjBnYsWMH1q9fj6effhpjx46VbWft2rXiXIxnn30W7777rvheYmIipkyZghEjRqC2thbPPfccfvzxR5OT14mIrN2AAQPw61//Go2NjWhuboa7uzvu3LmDGzduoKKiAhUVFbhx4wbq6+s7ve1bt27h1q1buHjxorhMN1Szb9++ZocjBgcHo3///hbty9SIDAAICwvDxIkTTa6jFMzV1NRg8+bNKCsrk63v4+OD2bNn3/VQQHt7e8TFxSEnJ8foOoaNwo0xbHegr7W1FRs3bhQDNqUMY1fY29tLArd+/fp1ax86IqL7ndVGC08//XSv7Oef//yn+KTwjTfekARyQMcwlffeew/ffPMN2tra8NZbbykGc2+99RaAjqfFutf6IiIi8NJLL+Gll15CQUEBtm/fjlmzZnX/FyIiuo+4uLhImi27urrKys/X19eLAZ7uv5WVlYrzykwxNlRTiaenJwoKCuDo6AgnJyc4OjrC0dHRol5zhtt54oknzBZvsbW1FQunAB3DKs+ePStZpjN06FA8+uij3Ra0JCUl4ciRI0aLhxgOsTSWWTOs2qnv2rVr3XKsXl5ekuDNx8enU3MmiYgeNFYbzPWWbdu2AegYZjJz5kzFdQIDA/HII49g165d2LNnD+rq6iQ3JwUFBeJk8rlz58LJyUlxO8uWLcNLL70EANi6dSuDOSIiAM7OzggLCxOH6QEdAcWtW7dkQV51dbXJhuaW0u+Lp08/uNP999y5c0a3M3v2bMXiGoYMR2IcPXpUcZ0pU6aYLdHfWe7u7hg8eDDOnDmj+H5xcTHOnTuH27dvi4Gb/rDM3jB37lwEBQXB2dm5V/dLRHS/YzBnQktLizhPITk52eRT0NTUVOzatQvNzc04evQo0tLSxPcOHDggWc8YPz8/DBw4EPn5+Th48GA3fAMiogeTSqUS+5tFR0eLy1tbW1FZWSkJ8CoqKrptCH5jY2Onepd9+OGHsLOzUwwC9f9r2NtOSUpKCuzt7XH27Fm0tbVBq9Wira1N8qO0zNR7umWm9q80B7A7qFQquLm5wcPDQ/JTWFiI1tZWhIWFwdfXF6GhoT2yfyKiBwGDORMKCgrEOQy6RqrG6L9/4cIFSTCnX4HLku3k5+ejuLgY9fX1Fj+FVJq8r8+SYUVERNbO1tYWAQEBikM1DQO8ioqKTg/V7IqWlha0tLR0uZS+Tm9WcO5OwcHB8PT0hLu7uyRoc3NzU6wqaaxQDBERyTGYM6G4uFh8rVROWl9QUJDi57q6HUEQUFJSgsjISIuOVX//REQk5ezsjP79+0uKmgiCgKtXr+LTTz+VrNu/f380NjaioaEBDQ0NFvfGe9gYZtbc3d3R2tqKnJwceHh4YPjw4YpzyImIqPswmDNBv2+Q/hw4JfoZNMPhPN21HSIi6j4qlQqhoaH43e9+h+bmZgiCoDinubW1VQzu9IM83WvD3qEPmuDgYNlQSFOZNXOVO4mIqPswmDNBv4qYuaph+n2GDOdTdNd2TDHMBhq6fv06EhMTLd4eEdHDQq1WmyxSYmtrC1tbW7i5uSm+P3nyZAAdQ/N9fHzg4eGB9vZ2cX6dsSBQ/32lBuoajQYajQY2NjaSH6Vlppabet9w2caNG6HVamFjY4OMjAzExcV1z18yERH1iB4N5rRaLWxtbe96O5988gmWLVt29wfUSfrlps31xNGv7GV4U2C4HVNlrE1txxRzwzeJiKhnDRgwQHytVqvh7Oxs8bznmpoanDt3DnV1dUhISICLi4usGXlv+O1vf9vr+yQioq5jZs4EV1dX8bW5IY/6TW0Nh1IabsdUMGdqO0RE9GDy8PBASkrKvT4MIiKyMj0azGk0Gkklx67y9/fvhqPpPP1sl7lqkfrDHA2LkRhux7DxuNJ2VCoVs21ERERERGRUj2fmzJXiv58NHDgQNjY2aGtrw8WLF02uq/++fs8jAIiJiZGsZ6rssm47bI5KRERERESmqO/1AdzP7OzsxKIhOTk5JufNZWVlAegoYBIfHy95T3/ojG49JeXl5cjPzwcAjB49usvHTUREREREDz4Gc2ZMnz4dAFBbW4utW7cqrlNSUoLvv/8eADBhwgTJHDmgI8Ony9Z9/vnnaGhoUNzO6tWrxdczZsy4yyMnIiIiIqIH2UMdzF25cgUqlQoqlQrjxo1TXGfFihVwd3cHAPzHf/wHqqqqJO+3tbXh2WefRVtbGwDghRdeUNyObnl1dTVefPFF2ftFRUX405/+BAAIDw9nMEdERERERCZZbTXLwsJCHDx4ULJMV3Gyrq5OkuUCOvoA+fn5dXo/Xl5eeOONN7By5UpcvXoVSUlJ+O1vf4shQ4agrKwMb7/9NjIzMwEA8+fPR1pamuJ2li5dilWrVuHQoUN49913UV5ejqeeegqenp7Izc3FH/7wB9TW1kKtVuNvf/sbNBqr/dUQEREREVEvsNqI4eDBg3jyyScV36uqqpK9l5mZ2aVgDgCeeeYZlJWV4Q9/+AOKioqwfPly2ToZGRlYtWqV0W3Y2Nhg27ZtyMjIwNGjR7FlyxZs2bJFso6dnR3+/ve/Y8qUKV06TiIiIiIieng81MMsO+P111/HwYMHsWDBAgQFBcHOzg59+/ZFeno6NmzYgK+//tpk/zgA6NOnD7Kzs/Hee+8hJSUF3t7ecHBwQFhYGJ566imcOHECTz31VC99IyIiIiIismYqQRCEe30Q1PNKSkrE/nfFxcXsYUdERERE1Et66l6cmTkiIiIiIiIrxGCOiIiIiIjICjGYIyIiIiIiskIM5oiIiIiIiKwQgzkiIiIiIiIrxGCOiIiIiIjICjGYIyIiIiIiskIM5oiIiIiIiKwQgzkiIiIiIiIrxGCOiIiIiIjICjGYIyIiIiIiskIM5oiIiIiIiKwQgzkiIiIiIiIrxGCOiIiIiIjICjGYIyIiIiIiskIM5oiIiIiIiKwQgzkiIiIiIiIrxGCOiIiIiIjICjGYIyIiIiIiskKae30A1Du0Wq34+vr16/fwSIiIiIiIHi7699/69+V3i8HcQ6KyslJ8nZiYeA+PhIiIiIjo4VVZWYnQ0NBu2RaHWRIREREREVkhlSAIwr0+COp5TU1NOHv2LADAx8cHGs29Scpev35dzAzm5ubC39//nhwHkRKen3Q/4/lJ9zOen3Q/ux/OT61WK46UGzJkCBwcHLpluxxm+ZBwcHBAQkLCvT4MCX9/fwQGBt7rwyBSxPOT7mc8P+l+xvOT7mf38vzsrqGV+jjMkoiIiIiIyAoxmCMiIiIiIrJCDOaIiIiIiIisEIM5IiIiIiIiK8RgjoiIiIiIyAoxmCMiIiIiIrJCDOaIiIiIiIisEJuGExERERERWSFm5oiIiIiIiKwQgzkiIiIiIiIrxGCOiIiIiIjICjGYIyIiIiIiskIM5oiIiIiIiKwQgzkiIiIiIiIrxGCOiIiIiIjICjGYIyIiIiIiskIM5oiIiIiIiKwQgzkiIiIiIiIrxGCOekRdXR3279+Pv/zlL5gzZw769+8PlUoFlUqF0NDQHtlnTk4OFi9ejNDQUDg4OMDf3x+TJ0/Gpk2bemR/ZP0aGhrw1ltvITExEV5eXnBxcUF0dDReeOEFXLt27a63v2/fPvG8N/fz2muv3f0XIqtw7do1vPDCC4iOjoazszO8vLyQmJiIv/zlL2hoaOi2/WzatAmTJk2Cv78/HBwcEBoaisWLF+Pw4cPdtg968PTk+fnaa69ZfE3ct29f93whsnoVFRXYuXMnXnnlFUyZMgV9+vQRz5Nly5b1yD6t6vopEPWAcePGCQAUf0JCQrp9f6+//rqgVquN7nPatGlCY2Njt++XrFdhYaEQGRlp9Jxxd3cXvv7667vaR2ZmptHtG/68+uqr3fPF6L62c+dOwd3d3eh5EBkZKRQVFd3VPhobG4WpU6ca3YdarRZ+//vfd9M3ogdJT5+fr776qsXXxMzMzO77YmTVTJ0nS5cu7dZ9WeP1U3NXkSCREYIgiK89PT0RHx+PnJwc1NXVdfu+PvroI7z66qsAgPDwcLz88ssYMmQIysrK8M477yAzMxM7duzAihUrsG7dum7fP1mfuro6TJ06FXl5eQCAp556CvPmzYOjoyMyMzPxpz/9Cbdv38bs2bORk5ODoUOH3vU+V61ahYSEBKPv9+3b9673Qfe306dPY86cOWhoaICLiwteeuklpKWlobGxEZs2bcI///lP5OXl4dFHH8XRo0fh4uLSpf385Cc/wc6dOwEAaWlpeP755xEQEICzZ8/ij3/8I4qKivDKK6/A398fK1as6M6vSFast85PnbNnz5p8v3///ne1fXowBQUFITo6Grt37+6R7Vvl9fNeR5P0YPrggw+E9evXCwUFBeKykJCQbs/M3bp1S/Dw8BAACMHBwUJlZaXkfa1WK0ybNk18opKVldVt+ybrpf90+M0335S9n52dLWg0GgGAkJaW1uX96Gfm+JSZdCMWNBqNkJ2dLXv/zTffFM+X119/vUv72Ldvn2REglarlbxfWVkpBAcHCwAET09P4datW13aDz14euP81L/2ElnqlVdeEXbs2CGUl5cLgiAIly9f7pHMnLVeP/mviXpNTwRz+v9z2bhxo+I6xcXFgo2NjQBAmDp1arftm6xTS0uL+AAgOjpaaGtrU1zvmWeeEc+tY8eOdWlfDOZIJzc3VzwXnnnmGcV12trahOjoaPFGoaWlpdP7ycjIEAAINjY2QnFxseI6GzduFI/lL3/5S6f3QQ+e3jo/GcxRd+ipYM5ar58sgEJWbdu2bQAANzc3zJw5U3GdwMBAPPLIIwCAPXv29MhQT7Ie+/btQ01NDQBg6dKlUKuVL4P6k6q3bt3aC0dGDzLdtQoAnnzyScV11Go1lixZAgC4detWpwtA1NXVYe/evQCA9PR0BAYGKq43c+ZMuLm5AeC5TR164/wkup9Z8/WTwRxZrZaWFuTm5gIAkpOTYWdnZ3Td1NRUAEBzczOOHj3aK8dH96cDBw6Ir3XnhZL4+Hg4OzsDAA4ePNjjx0UPNt155+zsjBEjRhhdT/+c7Ox5l5ubi+bmZtl2DNnZ2WHkyJHiZ1pbWzu1H3rw9Mb5SXQ/s+brJ4M5sloFBQXQarUAgKioKJPr6r9/4cKFHj0uur/p//5NnTcajQbh4eGyz3TVyy+/jMDAQNjZ2cHT0xPDhw/Hr371K+Tn59/1tun+pzuHIiIioNEYrz12N9cqS89t/fe1Wi0KCgo6tR968PTG+WkoPT0d3t7esLOzQ9++fTFu3Dj8+c9/xq1bt+5qu0RdYc3XTwZzZLWKi4vF18bS4TpBQUGKn6OHj+737+zsDA8PD5Pr6s6byspK8YldV+Xk5KC0tBStra2oqanBqVOn8PbbbyM6OhqvvfaapAIsPViamppw8+ZNAOavVZ6enmJGuLPXKl4TqSt66/w09P3336O6uhqtra2orKxEVlYWXnrpJYSFhWH79u13tW2izrLm6ydbE5DVunPnjvjaXIlk3f98AHDO3ENOd95YUlbb8Lyxt7fv9P78/f0xc+ZMpKSkICwsDBqNBteuXcOOHTuwdu1atLa24vXXX0dLSwv++Mc/dnr7dP/rzLUK6Djv6uvrO32t4jWRuqK3zk+dIUOGYPr06UhMTERAQABaW1uRl5eH9evXY/fu3aipqcGsWbOwY8cOTJkypUv7IOosa75+Mpgjq9XU1CS+NjVfDoDkJryxsbHHjonuf7rzxtw5A9z9eZOQkICrV6/C1tZWsjwuLg7Tp0/HM888g4kTJ+L27dv485//jDlz5mDYsGGd3g/d3zpzrQL+dd519pzjNZG6orfOTwD45S9/iddee022PCkpCUuWLMEHH3yAlStXoq2tDStWrEBhYSEcHR07vR+izrLm6yeHWT7EtFotVCrVXf+sXr36nhy/g4OD+LqlpcXkuvpD5Pg/BuvQU+en7rwxd84Ad3/eODs7ywI5fYmJiXj33XcBAIIgiK/pwdKZaxXwr/Ous+ccr4nUFb11fgIwO7T9mWeeERsxl5WV3TfVAunBZ83XTwZzZLVcXV3F1+bS3PX19eJrS4aR0INLd95YMjSiN86buXPnwt3dHQCQlZXVI/uge6sz1yrgX+ddZ885XhOpK3rr/LTUM888I77mNZF6izVfPznM8iGm0Wi6pUqfv79/NxxN5+lPUC0pKTG5rv4EVf2Jq3T/6qnzMzAwEEeOHEF9fT1qampMPinWnTc+Pj5dmi9nCY1Gg4EDB+Lo0aMoLS3tkX3QveXg4IA+ffrg5s2bZq9Vt27dEm8UOnutMrwmxsfHG12X10TS6a3z01IxMTHia14TqbdY8/WTwdxDzlz51fvZwIEDYWNjg7a2Nly8eNHkuvrvR0dH9/ShUTfpifMzJiYGW7ZsAdBxXuj6xRjSarUoKioC0PPnDCtZPviio6Nx4MABFBYWQqvVGi3/fjfXKv2bYEuviRqNBhEREZ3aDz14euP8tBSvh3QvWPP1k8MsyWrZ2dkhMTERQEfZd1NjnHVDNezt7U0+baEHX0pKivja1BCeY8eOiU+gR48e3WPHo9VqxV5zAQEBPbYfurd05119fT2OHz9udD39c7Kz511CQoI4cd/Uud3S0oLDhw/LPkMPr944Py31448/iq95TaTeYs3XTwZzZNWmT58OAKitrTU6UbqkpATff/89AGDChAmScdH08Bk3bpw4R+3TTz81+hRYv3DKjBkzeux4Nm3ahNraWgBAampqj+2H7i3dtQoAPvnkE8V12tvbsWbNGgAdhSLS0tI6tQ9XV1dMmDABQEcPL2ND5rZu3Sqecz15bpP16I3z01IffPCB+JrXROotVn39FIh6SUhIiABACAkJsWj9y5cvCwAEAEJqaqriOlVVVYK7u7u43Zs3b0re12q1wrRp08Tt/PDDD3f5LehB8Lvf/U48J958803Z+9nZ2YJGozF57pk7P6urq4XMzEyTx3HkyBHBw8NDACCoVCrh6NGjXfg2ZC3GjBkjABA0Go2QnZ0te//NN98Uz6lXX31V9v4nn3xi8n1BEIS9e/eK6zz22GOCVquVvF9ZWSkEBwcLAAQPDw+hurq6O74aPQB6+vw8c+aMUFBQYPIY3n//fXEbfn5+Ql1dXVe/Dj3A9P//u3TpUos+8yBfPzlnjnpEYWEhDh48KFmmqw5UV1cnKxc/efJk+Pn5dXo/Xl5eeOONN7By5UpcvXoVSUlJ+O1vf4shQ4agrKwMb7/9NjIzMwEA8+fP77EniWRdfvOb3+Czzz5Dfn4+XnzxRRQWFmLevHlwdHREZmYm/vjHP0Kr1cLR0RFvv/12l/Zx+/ZtpKWlYejQoZg+fTpGjBgBf39/2NjYyJqGA8ALL7zAIcAPuHfeeQejR49GY2MjJk6ciJdffhlpaWlobGzEpk2b8OGHHwLomA/861//ukv7GD9+PObNm4dNmzbhq6++Qnp6On75y18iICAAZ8+exX//93/j2rVrAIA///nP8PT07LbvR9atp8/P48ePY8WKFUhLS8OUKVMwZMgQeHt7Q6vV4uLFi1i3bh327NkDALCxscEHH3wgac5MD6+DBw+isLBQ/PPNmzfF14WFhbJ7ymXLlnVpP1Z7/bzX0SQ9mPSfgFjyo5TBsCQzp/PKK68IKpXK6PYzMjKExsbGnvmyZJUKCgqEAQMGGD1n3NzchB07dhj9vLnzU/99Uz82NjbCa6+9JrS3t/fgt6X7xVdffSW4ubkZPR8GDhxoNHthyZNlQRCEhoYGISMjw+g+1Gq1yc/Tw6snz09L7wu8vb2Fbdu29fA3JWuydOnSTt1TKnmQr5/MzNED4fXXX8ekSZPw7rvv4sCBA7hx4wY8PDwQGxuLJ598EvPnz7/Xh0j3mYiICJw8eRLvvvsuNm/ejMLCQrS0tCAoKAgZGRl4/vnnERIS0uXtBwQEYPPmzcjJyUFubi5KS0tx8+ZNNDU1wd3dHZGRkRg3bhxWrFiB0NDQ7vtidF+bNm0azpw5g3feeQdff/01SkpKYGdnh4iICMyePRs///nP4eTkdFf7cHR0xNdff40NGzZg9erVOH36NGpqauDr64sxY8bg5z//OZKTk7vpG9GDpCfPz4yMDHz88cfIycnByZMncePGDVRVVUEQBHh5eSE2NhaTJ0/GsmXL4Obm1s3fjMgy1nj9VAkCa8ASERERERFZG1azJCIiIiIiskIM5oiIiIiIiKwQgzkiIiIiIiIrxGCOiIiIiIjICjGYIyIiIiIiskIM5oiIiIiIiKwQgzkiIiIiIiIrxGCOiIiIiIjICjGYIyIiIiIiskIM5oiIiIiIiKwQgzkiIiIiIiIrxGCOiIiIiIjICjGYIyIiIiIiskIM5oiIiIiIiKwQgzkiIiIiIiIrxGCOiIiIiIjICjGYIyIiIiIiskIM5oiIiIiIiKwQgzkiIiIiIiIrxGCOiIiIiIjICjGYIyIiIiIiskIM5oiIiIiIiKwQgzkiIiIiIiIrxGCOiIiIiIjICv0/EKNXA+JJhIYAAAAASUVORK5CYII=\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 413,\n       \"width\": 441\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"dolfin.plot(mesh)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 500,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"V = dolfin.FunctionSpace(mesh, 'Lagrange', 1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 501,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"u = dolfin.TrialFunction(V)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 502,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"v = dolfin.TestFunction(V)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 503,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"a = dolfin.inner(dolfin.nabla_grad(u), dolfin.nabla_grad(v)) * dolfin.dx\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 504,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"f = dolfin.Constant(1.0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 505,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"L = f * v * dolfin.dx\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 506,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def u0_outer_boundary(x, on_boundary):\\n\",\n    \"    x, y = x[0], x[1]\\n\",\n    \"    return on_boundary and abs(np.sqrt(x**2 + y**2) - r_outer) < 5e-2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 507,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def u0_inner_boundary(x, on_boundary):\\n\",\n    \"    x, y = x[0], x[1]\\n\",\n    \"    return on_boundary and abs(np.sqrt(x**2 + y**2) - r_inner) < 5e-2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 508,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def u0_middle_boundary(x, on_boundary):\\n\",\n    \"    x, y = x[0], x[1]\\n\",\n    \"    if on_boundary:\\n\",\n    \"        for _x0 in [-x0, x0]:\\n\",\n    \"            for _y0 in [-y0, y0]:\\n\",\n    \"                if abs(np.sqrt((x+_x0)**2 + (y+_y0)**2) - r_middle) < 5e-2:\\n\",\n    \"                    return True\\n\",\n    \"    \\n\",\n    \"    return False\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 509,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"bc_inner = dolfin.DirichletBC(V, dolfin.Constant(15), u0_inner_boundary)\\n\",\n    \"bc_middle = dolfin.DirichletBC(V, dolfin.Constant(0), u0_middle_boundary)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 510,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"bcs = [bc_inner, bc_middle]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 511,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"u_sol = dolfin.Function(V)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 512,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Solving linear variational problem.\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"dolfin.solve(a == L, u_sol, bcs)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 513,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"triangulation = mesh_triangulation(mesh)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 514,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/var/folders/yl/6dlgtxk91z39lmwmdl3hk729tcspdz/T/ipykernel_32150/660945291.py:7: MatplotlibDeprecationWarning: The get_cmap function was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead.\\n\",\n      \"  c = ax2.tripcolor(triangulation, np.array(u_sol.vector()), cmap=mpl.cm.get_cmap(\\\"Reds\\\"))\\n\",\n      \"findfont: Font family 'stix' not found.\\n\",\n      \"findfont: Font family 'stix' not found.\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1000x400 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 390,\n       \"width\": 982\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 4))\\n\",\n    \"\\n\",\n    \"ax1.triplot(triangulation)\\n\",\n    \"ax1.set_xlabel(r\\\"$x$\\\", fontsize=18)\\n\",\n    \"ax1.set_ylabel(r\\\"$y$\\\", fontsize=18)\\n\",\n    \"\\n\",\n    \"c = ax2.tripcolor(triangulation, np.array(u_sol.vector()), cmap=mpl.cm.get_cmap(\\\"Reds\\\"))\\n\",\n    \"cb = plt.colorbar(c, ax=ax2)\\n\",\n    \"ax2.set_xlabel(r\\\"$x$\\\", fontsize=18)\\n\",\n    \"ax2.set_ylabel(r\\\"$y$\\\", fontsize=18)\\n\",\n    \"cb.set_label(r\\\"$u(x, y)$\\\", fontsize=18)\\n\",\n    \"cb.set_ticks([0.0, 5, 10, 15])\\n\",\n    \"\\n\",\n    \"fig.savefig(\\\"ch11-fdm-2d-ex4.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch11-fdm-2d-ex4.png\\\")\\n\",\n    \"fig.tight_layout()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Post processing\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 515,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"outer_boundary = dolfin.AutoSubDomain(lambda x, on_bnd: on_bnd and abs(np.sqrt(x[0]**2 + x[1]**2) - r_outer) < 5e-2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 516,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"bc_outer = dolfin.DirichletBC(V, 1, outer_boundary)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 517,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"mask_outer = dolfin.Function(V)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 518,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"bc_outer.apply(mask_outer.vector())\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 124,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"u_outer = u_sol.vector()[mask_outer.vector() == 1]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 125,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x_outer = mesh.coordinates()[mask_outer.vector() == 1]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 126,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"phi = np.angle(x_outer[:, 0] + 1j * x_outer[:, 1])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 127,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"order = np.argsort(phi)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 128,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 387,\n       \"width\": 787\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(8, 4))\\n\",\n    \"ax.plot(phi[order], u_outer[order], 's-', lw=2)\\n\",\n    \"ax.set_ylabel(r\\\"$u(x,y)$ at $x^2+y^2=1$\\\", fontsize=18)\\n\",\n    \"ax.set_xlabel(r\\\"$\\\\phi$\\\", fontsize=18)\\n\",\n    \"ax.set_xlim(-np.pi, np.pi)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch11-fem-2d-ex5.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Mesh refining\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 129,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"domain = mshr.Circle(dolfin.Point(.0, .0), 1.0) - mshr.Rectangle(dolfin.Point(0.0, -1.0), dolfin.Point(1.0, 0.0))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 130,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"mesh = mshr.generate_mesh(domain, 10)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 131,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"refined_mesh = mesh\\n\",\n    \"for r in [0.5, 0.25]:\\n\",\n    \"    cell_markers = dolfin.MeshFunction(\\\"bool\\\", refined_mesh, 2)\\n\",\n    \"    cell_markers.set_all(False)\\n\",\n    \"    for cell in dolfin.cells(refined_mesh):\\n\",\n    \"        if cell.distance(dolfin.Point(.0, .0)) < r:\\n\",\n    \"            cell_markers[cell] = True\\n\",\n    \"    refined_mesh = dolfin.refine(refined_mesh, cell_markers)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 132,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 390,\n       \"width\": 790\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(8, 4))\\n\",\n    \" \\n\",\n    \"ax1.triplot(mesh_triangulation(mesh))\\n\",\n    \"ax2.triplot(mesh_triangulation(refined_mesh))\\n\",\n    \"\\n\",\n    \"for ax in [ax1, ax2]:\\n\",\n    \"    for side in ['bottom','right','top','left']:\\n\",\n    \"        ax.spines[side].set_visible(False)\\n\",\n    \"        ax.set_xticks([])\\n\",\n    \"        ax.set_yticks([])\\n\",\n    \"        ax.xaxis.set_ticks_position('none')\\n\",\n    \"        ax.yaxis.set_ticks_position('none')\\n\",\n    \"\\n\",\n    \"    ax.set_xlabel(r\\\"$x$\\\", fontsize=18)\\n\",\n    \"    ax.set_ylabel(r\\\"$y$\\\", fontsize=18)\\n\",\n    \" \\n\",\n    \"fig.savefig(\\\"ch11-fem-2d-mesh-refine.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch11-fem-2d-mesh-refine.png\\\")\\n\",\n    \"fig.tight_layout()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Refined mesh with Dirichlet boundary conditions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 133,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"mesh = refined_mesh\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 134,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"V = dolfin.FunctionSpace(mesh, 'Lagrange', 1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 135,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"u = dolfin.TrialFunction(V)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 136,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"v = dolfin.TestFunction(V)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 137,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"a = dolfin.inner(dolfin.nabla_grad(u), dolfin.nabla_grad(v)) * dolfin.dx\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 138,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"f = dolfin.Constant(0.0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 139,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"L = f * v * dolfin.dx\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 140,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def u0_vertical_boundary(x, on_boundary):\\n\",\n    \"    x, y = x[0], x[1]\\n\",\n    \"    return on_boundary and abs(x) < 1e-2 and y < 0.0\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 141,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def u0_horizontal_boundary(x, on_boundary):\\n\",\n    \"    x, y = x[0], x[1]\\n\",\n    \"    return on_boundary and abs(y) < 1e-2 and x > 0.0\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 142,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"bc_vertical = dolfin.DirichletBC(V, dolfin.Constant(-5), u0_vertical_boundary)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 143,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"bc_horizontal = dolfin.DirichletBC(V, dolfin.Constant(5), u0_horizontal_boundary)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 144,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"bcs = [bc_vertical, bc_horizontal]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 145,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"u_sol = dolfin.Function(V)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 146,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Solving linear variational problem.\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"dolfin.solve(a == L, u_sol, bcs)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 147,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"triangulation = mesh_triangulation(mesh)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 148,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/var/folders/yl/6dlgtxk91z39lmwmdl3hk729tcspdz/T/ipykernel_32150/2714077054.py:7: MatplotlibDeprecationWarning: The get_cmap function was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead.\\n\",\n      \"  c = ax2.tripcolor(triangulation, np.array(u_sol.vector()), cmap=mpl.cm.get_cmap(\\\"RdBu_r\\\"))\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1000x400 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 390,\n       \"width\": 983\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 4))\\n\",\n    \" \\n\",\n    \"ax1.triplot(triangulation, color='k')\\n\",\n    \"ax1.set_xlabel(r\\\"$x$\\\", fontsize=18)\\n\",\n    \"ax1.set_ylabel(r\\\"$y$\\\", fontsize=18)\\n\",\n    \" \\n\",\n    \"c = ax2.tripcolor(triangulation, np.array(u_sol.vector()), cmap=mpl.cm.get_cmap(\\\"RdBu_r\\\"))\\n\",\n    \"cb = plt.colorbar(c, ax=ax2)\\n\",\n    \"ax2.set_xlabel(r\\\"$x$\\\", fontsize=18)\\n\",\n    \"ax2.set_ylabel(r\\\"$y$\\\", fontsize=18)\\n\",\n    \"cb.set_label(r\\\"$u(x, y)$\\\", fontsize=18)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Refined mesh with Dirichlet and von Neumann boundary conditions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 149,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"mesh = refined_mesh\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 150,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"V = dolfin.FunctionSpace(mesh, 'Lagrange', 1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 151,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"u = dolfin.TrialFunction(V)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 152,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"v = dolfin.TestFunction(V)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 153,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"boundary_parts = dolfin.MeshFunction(\\\"size_t\\\", mesh, mesh.topology().dim()-1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 154,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def v_boundary_func(x, on_boundary):\\n\",\n    \"    \\\"\\\"\\\" the vertical edge of the mesh, where x = 0 and y < 0\\\"\\\"\\\"\\n\",\n    \"    x, y = x[0], x[1]\\n\",\n    \"    return on_boundary and abs(x) < 1e-4 and y < 0.0\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 155,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"v_boundary = dolfin.AutoSubDomain(v_boundary_func)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 156,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"v_boundary.mark(boundary_parts, 0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 157,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def h_boundary_func(x, on_boundary):\\n\",\n    \"    \\\"\\\"\\\" the horizontal edge of the mesh, where y = 0 and x > 0\\\"\\\"\\\"\\n\",\n    \"    x, y = x[0], x[1]\\n\",\n    \"    return on_boundary and abs(y) < 1e-4 and x > 0.0\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 158,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"h_boundary = dolfin.AutoSubDomain(h_boundary_func)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 159,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"h_boundary.mark(boundary_parts, 1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 160,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def outer_boundary_func(x, on_boundary):\\n\",\n    \"    x, y = x[0], x[1]\\n\",\n    \"    return on_boundary and abs(x**2 + y**2-1) < 1e-2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 161,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"outer_boundary = dolfin.AutoSubDomain(outer_boundary_func)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 162,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"outer_boundary.mark(boundary_parts, 2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 163,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"bc = dolfin.DirichletBC(V, dolfin.Constant(0.0), boundary_parts, 2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 164,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"a = dolfin.inner(dolfin.nabla_grad(u), dolfin.nabla_grad(v)) * dolfin.dx(domain=mesh, subdomain_data=boundary_parts)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 165,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"f = dolfin.Constant(0.0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 166,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"g_v = dolfin.Constant(-2.0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 167,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"g_h = dolfin.Constant(1.0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 168,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"L = f * v * dolfin.dx(domain=mesh, subdomain_data=boundary_parts)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 169,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"L += g_v * v * dolfin.ds(0, domain=mesh, subdomain_data=boundary_parts)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 170,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"L += g_h * v * dolfin.ds(1, domain=mesh, subdomain_data=boundary_parts)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 171,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"u_sol = dolfin.Function(V)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 172,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Calling FFC just-in-time (JIT) compiler, this may take some time.\\n\",\n      \"Solving linear variational problem.\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"dolfin.solve(a == L, u_sol, bc)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 173,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"triangulation = mesh_triangulation(mesh)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 174,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/var/folders/yl/6dlgtxk91z39lmwmdl3hk729tcspdz/T/ipykernel_32150/219316683.py:9: MatplotlibDeprecationWarning: The get_cmap function was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead.\\n\",\n      \"  c = ax2.tripcolor(triangulation, data, norm=norm, cmap=mpl.cm.get_cmap(\\\"RdBu_r\\\"))\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1000x400 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 390,\n       \"width\": 984\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 4))\\n\",\n    \" \\n\",\n    \"ax1.triplot(triangulation)\\n\",\n    \"ax1.set_xlabel(r\\\"$x$\\\", fontsize=18)\\n\",\n    \"ax1.set_ylabel(r\\\"$y$\\\", fontsize=18)\\n\",\n    \" \\n\",\n    \"data = np.array(u_sol.vector())\\n\",\n    \"norm = mpl.colors.Normalize(-abs(data).max(), abs(data).max())\\n\",\n    \"c = ax2.tripcolor(triangulation, data, norm=norm, cmap=mpl.cm.get_cmap(\\\"RdBu_r\\\"))\\n\",\n    \"cb = plt.colorbar(c, ax=ax2)\\n\",\n    \"ax2.set_xlabel(r\\\"$x$\\\", fontsize=18)\\n\",\n    \"ax2.set_ylabel(r\\\"$y$\\\", fontsize=18)\\n\",\n    \"cb.set_label(r\\\"$u(x, y)$\\\", fontsize=18)\\n\",\n    \"cb.set_ticks([-.5, 0, .5])\\n\",\n    \" \\n\",\n    \"fig.savefig(\\\"ch11-fem-2d-ex5.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch11-fem-2d-ex5.png\\\")\\n\",\n    \"fig.tight_layout()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Versions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 175,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.6.8 64bit [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)]</td></tr><tr><td>IPython</td><td>7.5.0</td></tr><tr><td>OS</td><td>Darwin 18.5.0 x86_64 i386 64bit</td></tr><tr><td>numpy</td><td>1.15.4</td></tr><tr><td>scipy</td><td>1.2.1</td></tr><tr><td>matplotlib</td><td>3.0.3</td></tr><tr><td>dolfin</td><td>2018.1.0</td></tr><tr><td colspan='2'>Sat May 25 22:36:07 2019 JST</td></tr></table>\"\n      ],\n      \"text/latex\": [\n       \"\\\\begin{tabular}{|l|l|}\\\\hline\\n\",\n       \"{\\\\bf Software} & {\\\\bf Version} \\\\\\\\ \\\\hline\\\\hline\\n\",\n       \"Python & 3.6.8 64bit [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE\\\\_401/final)] \\\\\\\\ \\\\hline\\n\",\n       \"IPython & 7.5.0 \\\\\\\\ \\\\hline\\n\",\n       \"OS & Darwin 18.5.0 x86\\\\_64 i386 64bit \\\\\\\\ \\\\hline\\n\",\n       \"numpy & 1.15.4 \\\\\\\\ \\\\hline\\n\",\n       \"scipy & 1.2.1 \\\\\\\\ \\\\hline\\n\",\n       \"matplotlib & 3.0.3 \\\\\\\\ \\\\hline\\n\",\n       \"dolfin & 2018.1.0 \\\\\\\\ \\\\hline\\n\",\n       \"\\\\hline \\\\multicolumn{2}{|l|}{Sat May 25 22:36:07 2019 JST} \\\\\\\\ \\\\hline\\n\",\n       \"\\\\end{tabular}\\n\"\n      ],\n      \"text/plain\": [\n       \"Software versions\\n\",\n       \"Python 3.6.8 64bit [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)]\\n\",\n       \"IPython 7.5.0\\n\",\n       \"OS Darwin 18.5.0 x86_64 i386 64bit\\n\",\n       \"numpy 1.15.4\\n\",\n       \"scipy 1.2.1\\n\",\n       \"matplotlib 3.0.3\\n\",\n       \"dolfin 2018.1.0\\n\",\n       \"Sat May 25 22:36:07 2019 JST\"\n      ]\n     },\n     \"execution_count\": 175,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%reload_ext version_information\\n\",\n    \"%version_information numpy, scipy, matplotlib, dolfin\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"Python 3 (ipykernel)\",\n   \"language\": \"python\",\n   \"name\": \"python3\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "ch12-code-listing.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Chapter 12: Data processing and analysis with `pandas`\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%matplotlib inline\\n\",\n    \"import matplotlib.pyplot as plt\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import pandas as pd\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# pd.set_option('display.mpl_style', 'default')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import matplotlib as mpl\\n\",\n    \"mpl.style.use('ggplot')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import seaborn as sns\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Series object\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"s = pd.Series([909976, 8615246, 2872086, 2273305])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0     909976\\n\",\n       \"1    8615246\\n\",\n       \"2    2872086\\n\",\n       \"3    2273305\\n\",\n       \"dtype: int64\"\n      ]\n     },\n     \"execution_count\": 8,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"s\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"pandas.core.series.Series\"\n      ]\n     },\n     \"execution_count\": 9,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(s)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"dtype('int64')\"\n      ]\n     },\n     \"execution_count\": 10,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"s.dtype\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"RangeIndex(start=0, stop=4, step=1)\"\n      ]\n     },\n     \"execution_count\": 11,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"s.index\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 909976, 8615246, 2872086, 2273305])\"\n      ]\n     },\n     \"execution_count\": 12,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"s.values\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"s.index = [\\\"Stockholm\\\", \\\"London\\\", \\\"Rome\\\", \\\"Paris\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"s.name = \\\"Population\\\"\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Stockholm     909976\\n\",\n       \"London       8615246\\n\",\n       \"Rome         2872086\\n\",\n       \"Paris        2273305\\n\",\n       \"Name: Population, dtype: int64\"\n      ]\n     },\n     \"execution_count\": 15,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"s\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"s = pd.Series([909976, 8615246, 2872086, 2273305], \\n\",\n    \"              index=[\\\"Stockholm\\\", \\\"London\\\", \\\"Rome\\\", \\\"Paris\\\"], name=\\\"Population\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"8615246\"\n      ]\n     },\n     \"execution_count\": 17,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"s[\\\"London\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"909976\"\n      ]\n     },\n     \"execution_count\": 18,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"s.Stockholm\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Paris    2273305\\n\",\n       \"Rome     2872086\\n\",\n       \"Name: Population, dtype: int64\"\n      ]\n     },\n     \"execution_count\": 19,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"s[[\\\"Paris\\\", \\\"Rome\\\"]]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(2572695.5, 3667653.25, 3399048.5005155364)\"\n      ]\n     },\n     \"execution_count\": 20,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"s.median(), s.mean(), s.std()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(909976, 8615246)\"\n      ]\n     },\n     \"execution_count\": 21,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"s.min(), s.max()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(1932472.75, 2572695.5, 4307876.0)\"\n      ]\n     },\n     \"execution_count\": 22,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"s.quantile(q=0.25), s.quantile(q=0.5), s.quantile(q=0.75)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"count    4.000000e+00\\n\",\n       \"mean     3.667653e+06\\n\",\n       \"std      3.399049e+06\\n\",\n       \"min      9.099760e+05\\n\",\n       \"25%      1.932473e+06\\n\",\n       \"50%      2.572696e+06\\n\",\n       \"75%      4.307876e+06\\n\",\n       \"max      8.615246e+06\\n\",\n       \"Name: Population, dtype: float64\"\n      ]\n     },\n     \"execution_count\": 23,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"s.describe()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x350 with 4 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 4, figsize=(12, 3.5))\\n\",\n    \"\\n\",\n    \"s.plot(ax=axes[0], kind='line', title=\\\"line\\\")\\n\",\n    \"s.plot(ax=axes[1], kind='bar', title=\\\"bar\\\")\\n\",\n    \"s.plot(ax=axes[2], kind='box', title=\\\"box\\\")\\n\",\n    \"s.plot(ax=axes[3], kind='pie', title=\\\"pie\\\")\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch12-series-plot.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch12-series-plot.png\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## DataFrame object\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df = pd.DataFrame([[909976, 8615246, 2872086, 2273305],\\n\",\n    \"                   [\\\"Sweden\\\", \\\"United kingdom\\\", \\\"Italy\\\", \\\"France\\\"]])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <th>3</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>909976</td>\\n\",\n       \"      <td>8615246</td>\\n\",\n       \"      <td>2872086</td>\\n\",\n       \"      <td>2273305</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>Sweden</td>\\n\",\n       \"      <td>United kingdom</td>\\n\",\n       \"      <td>Italy</td>\\n\",\n       \"      <td>France</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"        0               1        2        3\\n\",\n       \"0  909976         8615246  2872086  2273305\\n\",\n       \"1  Sweden  United kingdom    Italy   France\"\n      ]\n     },\n     \"execution_count\": 26,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df = pd.DataFrame([[909976, \\\"Sweden\\\"],\\n\",\n    \"                   [8615246, \\\"United kingdom\\\"], \\n\",\n    \"                   [2872086, \\\"Italy\\\"],\\n\",\n    \"                   [2273305, \\\"France\\\"]])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <th>1</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>909976</td>\\n\",\n       \"      <td>Sweden</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>8615246</td>\\n\",\n       \"      <td>United kingdom</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>2872086</td>\\n\",\n       \"      <td>Italy</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>2273305</td>\\n\",\n       \"      <td>France</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"         0               1\\n\",\n       \"0   909976          Sweden\\n\",\n       \"1  8615246  United kingdom\\n\",\n       \"2  2872086           Italy\\n\",\n       \"3  2273305          France\"\n      ]\n     },\n     \"execution_count\": 28,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df.index = [\\\"Stockholm\\\", \\\"London\\\", \\\"Rome\\\", \\\"Paris\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df.columns = [\\\"Population\\\", \\\"State\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Population</th>\\n\",\n       \"      <th>State</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Stockholm</th>\\n\",\n       \"      <td>909976</td>\\n\",\n       \"      <td>Sweden</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>London</th>\\n\",\n       \"      <td>8615246</td>\\n\",\n       \"      <td>United kingdom</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Rome</th>\\n\",\n       \"      <td>2872086</td>\\n\",\n       \"      <td>Italy</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Paris</th>\\n\",\n       \"      <td>2273305</td>\\n\",\n       \"      <td>France</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"           Population           State\\n\",\n       \"Stockholm      909976          Sweden\\n\",\n       \"London        8615246  United kingdom\\n\",\n       \"Rome          2872086           Italy\\n\",\n       \"Paris         2273305          France\"\n      ]\n     },\n     \"execution_count\": 31,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 32,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df = pd.DataFrame([[909976, \\\"Sweden\\\"],\\n\",\n    \"                   [8615246, \\\"United kingdom\\\"], \\n\",\n    \"                   [2872086, \\\"Italy\\\"],\\n\",\n    \"                   [2273305, \\\"France\\\"]],\\n\",\n    \"                  index=[\\\"Stockholm\\\", \\\"London\\\", \\\"Rome\\\", \\\"Paris\\\"],\\n\",\n    \"                  columns=[\\\"Population\\\", \\\"State\\\"])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 33,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Population</th>\\n\",\n       \"      <th>State</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Stockholm</th>\\n\",\n       \"      <td>909976</td>\\n\",\n       \"      <td>Sweden</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>London</th>\\n\",\n       \"      <td>8615246</td>\\n\",\n       \"      <td>United kingdom</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Rome</th>\\n\",\n       \"      <td>2872086</td>\\n\",\n       \"      <td>Italy</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Paris</th>\\n\",\n       \"      <td>2273305</td>\\n\",\n       \"      <td>France</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"           Population           State\\n\",\n       \"Stockholm      909976          Sweden\\n\",\n       \"London        8615246  United kingdom\\n\",\n       \"Rome          2872086           Italy\\n\",\n       \"Paris         2273305          France\"\n      ]\n     },\n     \"execution_count\": 33,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 34,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df = pd.DataFrame({\\\"Population\\\": [909976, 8615246, 2872086, 2273305],\\n\",\n    \"                   \\\"State\\\": [\\\"Sweden\\\", \\\"United kingdom\\\", \\\"Italy\\\", \\\"France\\\"]},\\n\",\n    \"                  index=[\\\"Stockholm\\\", \\\"London\\\", \\\"Rome\\\", \\\"Paris\\\"])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 35,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Population</th>\\n\",\n       \"      <th>State</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Stockholm</th>\\n\",\n       \"      <td>909976</td>\\n\",\n       \"      <td>Sweden</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>London</th>\\n\",\n       \"      <td>8615246</td>\\n\",\n       \"      <td>United kingdom</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Rome</th>\\n\",\n       \"      <td>2872086</td>\\n\",\n       \"      <td>Italy</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Paris</th>\\n\",\n       \"      <td>2273305</td>\\n\",\n       \"      <td>France</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"           Population           State\\n\",\n       \"Stockholm      909976          Sweden\\n\",\n       \"London        8615246  United kingdom\\n\",\n       \"Rome          2872086           Italy\\n\",\n       \"Paris         2273305          France\"\n      ]\n     },\n     \"execution_count\": 35,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 36,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Index(['Stockholm', 'London', 'Rome', 'Paris'], dtype='object')\"\n      ]\n     },\n     \"execution_count\": 36,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.index\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 37,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Index(['Population', 'State'], dtype='object')\"\n      ]\n     },\n     \"execution_count\": 37,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.columns\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 38,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[909976, 'Sweden'],\\n\",\n       \"       [8615246, 'United kingdom'],\\n\",\n       \"       [2872086, 'Italy'],\\n\",\n       \"       [2273305, 'France']], dtype=object)\"\n      ]\n     },\n     \"execution_count\": 38,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.values\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 39,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Stockholm     909976\\n\",\n       \"London       8615246\\n\",\n       \"Rome         2872086\\n\",\n       \"Paris        2273305\\n\",\n       \"Name: Population, dtype: int64\"\n      ]\n     },\n     \"execution_count\": 39,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.Population\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 40,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Stockholm     909976\\n\",\n       \"London       8615246\\n\",\n       \"Rome         2872086\\n\",\n       \"Paris        2273305\\n\",\n       \"Name: Population, dtype: int64\"\n      ]\n     },\n     \"execution_count\": 40,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df[\\\"Population\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 41,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"pandas.core.series.Series\"\n      ]\n     },\n     \"execution_count\": 41,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(df.Population)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 42,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"909976\"\n      ]\n     },\n     \"execution_count\": 42,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.Population.Stockholm\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 43,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"pandas.core.indexes.base.Index\"\n      ]\n     },\n     \"execution_count\": 43,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(df.index)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 44,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Population    909976\\n\",\n       \"State         Sweden\\n\",\n       \"Name: Stockholm, dtype: object\"\n      ]\n     },\n     \"execution_count\": 44,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.loc[\\\"Stockholm\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 45,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"pandas.core.series.Series\"\n      ]\n     },\n     \"execution_count\": 45,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(df.loc[\\\"Stockholm\\\"])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 46,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Population</th>\\n\",\n       \"      <th>State</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Paris</th>\\n\",\n       \"      <td>2273305</td>\\n\",\n       \"      <td>France</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Rome</th>\\n\",\n       \"      <td>2872086</td>\\n\",\n       \"      <td>Italy</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"       Population   State\\n\",\n       \"Paris     2273305  France\\n\",\n       \"Rome      2872086   Italy\"\n      ]\n     },\n     \"execution_count\": 46,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.loc[[\\\"Paris\\\", \\\"Rome\\\"]]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 47,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Paris    2273305\\n\",\n       \"Rome     2872086\\n\",\n       \"Name: Population, dtype: int64\"\n      ]\n     },\n     \"execution_count\": 47,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.loc[[\\\"Paris\\\", \\\"Rome\\\"], \\\"Population\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 48,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"2273305\"\n      ]\n     },\n     \"execution_count\": 48,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.loc[\\\"Paris\\\", \\\"Population\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 49,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Population    3667653.25\\n\",\n       \"dtype: float64\"\n      ]\n     },\n     \"execution_count\": 49,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df[[\\\"Population\\\"]].mean()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 50,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"<class 'pandas.core.frame.DataFrame'>\\n\",\n      \"Index: 4 entries, Stockholm to Paris\\n\",\n      \"Data columns (total 2 columns):\\n\",\n      \" #   Column      Non-Null Count  Dtype \\n\",\n      \"---  ------      --------------  ----- \\n\",\n      \" 0   Population  4 non-null      int64 \\n\",\n      \" 1   State       4 non-null      object\\n\",\n      \"dtypes: int64(1), object(1)\\n\",\n      \"memory usage: 268.0+ bytes\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"df.info()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 51,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Population     int64\\n\",\n       \"State         object\\n\",\n       \"dtype: object\"\n      ]\n     },\n     \"execution_count\": 51,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.dtypes\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 52,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Population</th>\\n\",\n       \"      <th>State</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Stockholm</th>\\n\",\n       \"      <td>909976</td>\\n\",\n       \"      <td>Sweden</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>London</th>\\n\",\n       \"      <td>8615246</td>\\n\",\n       \"      <td>United kingdom</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Rome</th>\\n\",\n       \"      <td>2872086</td>\\n\",\n       \"      <td>Italy</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Paris</th>\\n\",\n       \"      <td>2273305</td>\\n\",\n       \"      <td>France</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"           Population           State\\n\",\n       \"Stockholm      909976          Sweden\\n\",\n       \"London        8615246  United kingdom\\n\",\n       \"Rome          2872086           Italy\\n\",\n       \"Paris         2273305          France\"\n      ]\n     },\n     \"execution_count\": 52,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 58,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Rank,City,State,Population,Date of census/estimate\\n\",\n      \"1,London[2], United Kingdom,\\\"8,615,246\\\",1 June 2014\\n\",\n      \"2,Berlin, Germany,\\\"3,437,916\\\",31 May 2014\\n\",\n      \"3,Madrid, Spain,\\\"3,165,235\\\",1 January 2014\\n\",\n      \"4,Rome, Italy,\\\"2,872,086\\\",30 September 2014\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!head -n5 european_cities.csv\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Larger dataset\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 59,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_pop = pd.read_csv(\\\"european_cities.csv\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 60,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Rank</th>\\n\",\n       \"      <th>City</th>\\n\",\n       \"      <th>State</th>\\n\",\n       \"      <th>Population</th>\\n\",\n       \"      <th>Date of census/estimate</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>London[2]</td>\\n\",\n       \"      <td>United Kingdom</td>\\n\",\n       \"      <td>8,615,246</td>\\n\",\n       \"      <td>1 June 2014</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>Berlin</td>\\n\",\n       \"      <td>Germany</td>\\n\",\n       \"      <td>3,437,916</td>\\n\",\n       \"      <td>31 May 2014</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>Madrid</td>\\n\",\n       \"      <td>Spain</td>\\n\",\n       \"      <td>3,165,235</td>\\n\",\n       \"      <td>1 January 2014</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>4</td>\\n\",\n       \"      <td>Rome</td>\\n\",\n       \"      <td>Italy</td>\\n\",\n       \"      <td>2,872,086</td>\\n\",\n       \"      <td>30 September 2014</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>5</td>\\n\",\n       \"      <td>Paris</td>\\n\",\n       \"      <td>France</td>\\n\",\n       \"      <td>2,273,305</td>\\n\",\n       \"      <td>1 January 2013</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   Rank       City            State Population Date of census/estimate\\n\",\n       \"0     1  London[2]   United Kingdom  8,615,246             1 June 2014\\n\",\n       \"1     2     Berlin          Germany  3,437,916             31 May 2014\\n\",\n       \"2     3     Madrid            Spain  3,165,235          1 January 2014\\n\",\n       \"3     4       Rome            Italy  2,872,086       30 September 2014\\n\",\n       \"4     5      Paris           France  2,273,305          1 January 2013\"\n      ]\n     },\n     \"execution_count\": 60,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_pop.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 61,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_pop = pd.read_csv(\\\"european_cities.csv\\\", delimiter=\\\",\\\", encoding=\\\"utf-8\\\", header=0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 62,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"<class 'pandas.core.frame.DataFrame'>\\n\",\n      \"RangeIndex: 105 entries, 0 to 104\\n\",\n      \"Data columns (total 5 columns):\\n\",\n      \" #   Column                   Non-Null Count  Dtype \\n\",\n      \"---  ------                   --------------  ----- \\n\",\n      \" 0   Rank                     105 non-null    int64 \\n\",\n      \" 1   City                     105 non-null    object\\n\",\n      \" 2   State                    105 non-null    object\\n\",\n      \" 3   Population               105 non-null    object\\n\",\n      \" 4   Date of census/estimate  105 non-null    object\\n\",\n      \"dtypes: int64(1), object(4)\\n\",\n      \"memory usage: 4.2+ KB\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"df_pop.info()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 63,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Rank</th>\\n\",\n       \"      <th>City</th>\\n\",\n       \"      <th>State</th>\\n\",\n       \"      <th>Population</th>\\n\",\n       \"      <th>Date of census/estimate</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>London[2]</td>\\n\",\n       \"      <td>United Kingdom</td>\\n\",\n       \"      <td>8,615,246</td>\\n\",\n       \"      <td>1 June 2014</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>Berlin</td>\\n\",\n       \"      <td>Germany</td>\\n\",\n       \"      <td>3,437,916</td>\\n\",\n       \"      <td>31 May 2014</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>Madrid</td>\\n\",\n       \"      <td>Spain</td>\\n\",\n       \"      <td>3,165,235</td>\\n\",\n       \"      <td>1 January 2014</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>4</td>\\n\",\n       \"      <td>Rome</td>\\n\",\n       \"      <td>Italy</td>\\n\",\n       \"      <td>2,872,086</td>\\n\",\n       \"      <td>30 September 2014</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>5</td>\\n\",\n       \"      <td>Paris</td>\\n\",\n       \"      <td>France</td>\\n\",\n       \"      <td>2,273,305</td>\\n\",\n       \"      <td>1 January 2013</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   Rank       City            State Population Date of census/estimate\\n\",\n       \"0     1  London[2]   United Kingdom  8,615,246             1 June 2014\\n\",\n       \"1     2     Berlin          Germany  3,437,916             31 May 2014\\n\",\n       \"2     3     Madrid            Spain  3,165,235          1 January 2014\\n\",\n       \"3     4       Rome            Italy  2,872,086       30 September 2014\\n\",\n       \"4     5      Paris           France  2,273,305          1 January 2013\"\n      ]\n     },\n     \"execution_count\": 63,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_pop.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 64,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_pop[\\\"NumericPopulation\\\"] = df_pop.Population.apply(lambda x: int(x.replace(\\\",\\\", \\\"\\\")))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 65,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([' United Kingdom', ' Germany', ' Spain'], dtype=object)\"\n      ]\n     },\n     \"execution_count\": 65,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_pop[\\\"State\\\"].values[:3]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 66,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_pop[\\\"State\\\"] = df_pop[\\\"State\\\"].apply(lambda x: x.strip())\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 67,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Rank</th>\\n\",\n       \"      <th>City</th>\\n\",\n       \"      <th>State</th>\\n\",\n       \"      <th>Population</th>\\n\",\n       \"      <th>Date of census/estimate</th>\\n\",\n       \"      <th>NumericPopulation</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>London[2]</td>\\n\",\n       \"      <td>United Kingdom</td>\\n\",\n       \"      <td>8,615,246</td>\\n\",\n       \"      <td>1 June 2014</td>\\n\",\n       \"      <td>8615246</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>Berlin</td>\\n\",\n       \"      <td>Germany</td>\\n\",\n       \"      <td>3,437,916</td>\\n\",\n       \"      <td>31 May 2014</td>\\n\",\n       \"      <td>3437916</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>Madrid</td>\\n\",\n       \"      <td>Spain</td>\\n\",\n       \"      <td>3,165,235</td>\\n\",\n       \"      <td>1 January 2014</td>\\n\",\n       \"      <td>3165235</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>4</td>\\n\",\n       \"      <td>Rome</td>\\n\",\n       \"      <td>Italy</td>\\n\",\n       \"      <td>2,872,086</td>\\n\",\n       \"      <td>30 September 2014</td>\\n\",\n       \"      <td>2872086</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>5</td>\\n\",\n       \"      <td>Paris</td>\\n\",\n       \"      <td>France</td>\\n\",\n       \"      <td>2,273,305</td>\\n\",\n       \"      <td>1 January 2013</td>\\n\",\n       \"      <td>2273305</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   Rank       City           State Population Date of census/estimate  \\\\\\n\",\n       \"0     1  London[2]  United Kingdom  8,615,246             1 June 2014   \\n\",\n       \"1     2     Berlin         Germany  3,437,916             31 May 2014   \\n\",\n       \"2     3     Madrid           Spain  3,165,235          1 January 2014   \\n\",\n       \"3     4       Rome           Italy  2,872,086       30 September 2014   \\n\",\n       \"4     5      Paris          France  2,273,305          1 January 2013   \\n\",\n       \"\\n\",\n       \"   NumericPopulation  \\n\",\n       \"0            8615246  \\n\",\n       \"1            3437916  \\n\",\n       \"2            3165235  \\n\",\n       \"3            2872086  \\n\",\n       \"4            2273305  \"\n      ]\n     },\n     \"execution_count\": 67,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_pop.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 68,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Rank                        int64\\n\",\n       \"City                       object\\n\",\n       \"State                      object\\n\",\n       \"Population                 object\\n\",\n       \"Date of census/estimate    object\\n\",\n       \"NumericPopulation           int64\\n\",\n       \"dtype: object\"\n      ]\n     },\n     \"execution_count\": 68,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_pop.dtypes\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 69,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_pop2 = df_pop.set_index(\\\"City\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 70,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_pop2 = df_pop2.sort_index()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 71,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Rank</th>\\n\",\n       \"      <th>State</th>\\n\",\n       \"      <th>Population</th>\\n\",\n       \"      <th>Date of census/estimate</th>\\n\",\n       \"      <th>NumericPopulation</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>City</th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Aarhus</th>\\n\",\n       \"      <td>92</td>\\n\",\n       \"      <td>Denmark</td>\\n\",\n       \"      <td>326,676</td>\\n\",\n       \"      <td>1 October 2014</td>\\n\",\n       \"      <td>326676</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Alicante</th>\\n\",\n       \"      <td>86</td>\\n\",\n       \"      <td>Spain</td>\\n\",\n       \"      <td>334,678</td>\\n\",\n       \"      <td>1 January 2012</td>\\n\",\n       \"      <td>334678</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Amsterdam</th>\\n\",\n       \"      <td>23</td>\\n\",\n       \"      <td>Netherlands</td>\\n\",\n       \"      <td>813,562</td>\\n\",\n       \"      <td>31 May 2014</td>\\n\",\n       \"      <td>813562</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Antwerp</th>\\n\",\n       \"      <td>59</td>\\n\",\n       \"      <td>Belgium</td>\\n\",\n       \"      <td>510,610</td>\\n\",\n       \"      <td>1 January 2014</td>\\n\",\n       \"      <td>510610</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Athens</th>\\n\",\n       \"      <td>34</td>\\n\",\n       \"      <td>Greece</td>\\n\",\n       \"      <td>664,046</td>\\n\",\n       \"      <td>24 May 2011</td>\\n\",\n       \"      <td>664046</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"           Rank        State Population Date of census/estimate  \\\\\\n\",\n       \"City                                                              \\n\",\n       \"Aarhus       92      Denmark    326,676          1 October 2014   \\n\",\n       \"Alicante     86        Spain    334,678          1 January 2012   \\n\",\n       \"Amsterdam    23  Netherlands    813,562             31 May 2014   \\n\",\n       \"Antwerp      59      Belgium    510,610          1 January 2014   \\n\",\n       \"Athens       34       Greece    664,046             24 May 2011   \\n\",\n       \"\\n\",\n       \"           NumericPopulation  \\n\",\n       \"City                          \\n\",\n       \"Aarhus                326676  \\n\",\n       \"Alicante              334678  \\n\",\n       \"Amsterdam             813562  \\n\",\n       \"Antwerp               510610  \\n\",\n       \"Athens                664046  \"\n      ]\n     },\n     \"execution_count\": 71,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_pop2.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 72,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Rank</th>\\n\",\n       \"      <th>State</th>\\n\",\n       \"      <th>Population</th>\\n\",\n       \"      <th>Date of census/estimate</th>\\n\",\n       \"      <th>NumericPopulation</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>City</th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Aarhus</th>\\n\",\n       \"      <td>92</td>\\n\",\n       \"      <td>Denmark</td>\\n\",\n       \"      <td>326,676</td>\\n\",\n       \"      <td>1 October 2014</td>\\n\",\n       \"      <td>326676</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Alicante</th>\\n\",\n       \"      <td>86</td>\\n\",\n       \"      <td>Spain</td>\\n\",\n       \"      <td>334,678</td>\\n\",\n       \"      <td>1 January 2012</td>\\n\",\n       \"      <td>334678</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Amsterdam</th>\\n\",\n       \"      <td>23</td>\\n\",\n       \"      <td>Netherlands</td>\\n\",\n       \"      <td>813,562</td>\\n\",\n       \"      <td>31 May 2014</td>\\n\",\n       \"      <td>813562</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Antwerp</th>\\n\",\n       \"      <td>59</td>\\n\",\n       \"      <td>Belgium</td>\\n\",\n       \"      <td>510,610</td>\\n\",\n       \"      <td>1 January 2014</td>\\n\",\n       \"      <td>510610</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Athens</th>\\n\",\n       \"      <td>34</td>\\n\",\n       \"      <td>Greece</td>\\n\",\n       \"      <td>664,046</td>\\n\",\n       \"      <td>24 May 2011</td>\\n\",\n       \"      <td>664046</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"           Rank        State Population Date of census/estimate  \\\\\\n\",\n       \"City                                                              \\n\",\n       \"Aarhus       92      Denmark    326,676          1 October 2014   \\n\",\n       \"Alicante     86        Spain    334,678          1 January 2012   \\n\",\n       \"Amsterdam    23  Netherlands    813,562             31 May 2014   \\n\",\n       \"Antwerp      59      Belgium    510,610          1 January 2014   \\n\",\n       \"Athens       34       Greece    664,046             24 May 2011   \\n\",\n       \"\\n\",\n       \"           NumericPopulation  \\n\",\n       \"City                          \\n\",\n       \"Aarhus                326676  \\n\",\n       \"Alicante              334678  \\n\",\n       \"Amsterdam             813562  \\n\",\n       \"Antwerp               510610  \\n\",\n       \"Athens                664046  \"\n      ]\n     },\n     \"execution_count\": 72,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_pop2.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 73,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_pop3 = df_pop.set_index([\\\"State\\\", \\\"City\\\"]).sort_index(level=0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 74,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Rank</th>\\n\",\n       \"      <th>Population</th>\\n\",\n       \"      <th>Date of census/estimate</th>\\n\",\n       \"      <th>NumericPopulation</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>State</th>\\n\",\n       \"      <th>City</th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Austria</th>\\n\",\n       \"      <th>Vienna</th>\\n\",\n       \"      <td>7</td>\\n\",\n       \"      <td>1,794,770</td>\\n\",\n       \"      <td>1 January 2015</td>\\n\",\n       \"      <td>1794770</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"2\\\" valign=\\\"top\\\">Belgium</th>\\n\",\n       \"      <th>Antwerp</th>\\n\",\n       \"      <td>59</td>\\n\",\n       \"      <td>510,610</td>\\n\",\n       \"      <td>1 January 2014</td>\\n\",\n       \"      <td>510610</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Brussels[17]</th>\\n\",\n       \"      <td>16</td>\\n\",\n       \"      <td>1,175,831</td>\\n\",\n       \"      <td>1 January 2014</td>\\n\",\n       \"      <td>1175831</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th rowspan=\\\"3\\\" valign=\\\"top\\\">Bulgaria</th>\\n\",\n       \"      <th>Plovdiv</th>\\n\",\n       \"      <td>84</td>\\n\",\n       \"      <td>341,041</td>\\n\",\n       \"      <td>31 December 2013</td>\\n\",\n       \"      <td>341041</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Sofia</th>\\n\",\n       \"      <td>14</td>\\n\",\n       \"      <td>1,291,895</td>\\n\",\n       \"      <td>14 December 2014</td>\\n\",\n       \"      <td>1291895</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Varna</th>\\n\",\n       \"      <td>85</td>\\n\",\n       \"      <td>335,819</td>\\n\",\n       \"      <td>31 December 2013</td>\\n\",\n       \"      <td>335819</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Croatia</th>\\n\",\n       \"      <th>Zagreb</th>\\n\",\n       \"      <td>24</td>\\n\",\n       \"      <td>790,017</td>\\n\",\n       \"      <td>31 March 2011</td>\\n\",\n       \"      <td>790017</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"                       Rank Population Date of census/estimate  \\\\\\n\",\n       \"State    City                                                    \\n\",\n       \"Austria  Vienna           7  1,794,770          1 January 2015   \\n\",\n       \"Belgium  Antwerp         59    510,610          1 January 2014   \\n\",\n       \"         Brussels[17]    16  1,175,831          1 January 2014   \\n\",\n       \"Bulgaria Plovdiv         84    341,041        31 December 2013   \\n\",\n       \"         Sofia           14  1,291,895        14 December 2014   \\n\",\n       \"         Varna           85    335,819        31 December 2013   \\n\",\n       \"Croatia  Zagreb          24    790,017           31 March 2011   \\n\",\n       \"\\n\",\n       \"                       NumericPopulation  \\n\",\n       \"State    City                             \\n\",\n       \"Austria  Vienna                  1794770  \\n\",\n       \"Belgium  Antwerp                  510610  \\n\",\n       \"         Brussels[17]            1175831  \\n\",\n       \"Bulgaria Plovdiv                  341041  \\n\",\n       \"         Sofia                   1291895  \\n\",\n       \"         Varna                    335819  \\n\",\n       \"Croatia  Zagreb                   790017  \"\n      ]\n     },\n     \"execution_count\": 74,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_pop3.head(7)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 75,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Rank</th>\\n\",\n       \"      <th>Population</th>\\n\",\n       \"      <th>Date of census/estimate</th>\\n\",\n       \"      <th>NumericPopulation</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>City</th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Gothenburg</th>\\n\",\n       \"      <td>53</td>\\n\",\n       \"      <td>528,014</td>\\n\",\n       \"      <td>31 March 2013</td>\\n\",\n       \"      <td>528014</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Malmö</th>\\n\",\n       \"      <td>102</td>\\n\",\n       \"      <td>309,105</td>\\n\",\n       \"      <td>31 March 2013</td>\\n\",\n       \"      <td>309105</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Stockholm</th>\\n\",\n       \"      <td>20</td>\\n\",\n       \"      <td>909,976</td>\\n\",\n       \"      <td>31 January 2014</td>\\n\",\n       \"      <td>909976</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"            Rank Population Date of census/estimate  NumericPopulation\\n\",\n       \"City                                                                  \\n\",\n       \"Gothenburg    53    528,014           31 March 2013             528014\\n\",\n       \"Malmö        102    309,105           31 March 2013             309105\\n\",\n       \"Stockholm     20    909,976         31 January 2014             909976\"\n      ]\n     },\n     \"execution_count\": 75,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_pop3.loc[\\\"Sweden\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 76,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Rank                                  53\\n\",\n       \"Population                       528,014\\n\",\n       \"Date of census/estimate    31 March 2013\\n\",\n       \"NumericPopulation                 528014\\n\",\n       \"Name: (Sweden, Gothenburg), dtype: object\"\n      ]\n     },\n     \"execution_count\": 76,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_pop3.loc[(\\\"Sweden\\\", \\\"Gothenburg\\\")]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 77,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Rank</th>\\n\",\n       \"      <th>State</th>\\n\",\n       \"      <th>Population</th>\\n\",\n       \"      <th>Date of census/estimate</th>\\n\",\n       \"      <th>NumericPopulation</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>City</th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Nottingham</th>\\n\",\n       \"      <td>103</td>\\n\",\n       \"      <td>United Kingdom</td>\\n\",\n       \"      <td>308,735</td>\\n\",\n       \"      <td>30 June 2012</td>\\n\",\n       \"      <td>308735</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Wirral</th>\\n\",\n       \"      <td>97</td>\\n\",\n       \"      <td>United Kingdom</td>\\n\",\n       \"      <td>320,229</td>\\n\",\n       \"      <td>30 June 2012</td>\\n\",\n       \"      <td>320229</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Coventry</th>\\n\",\n       \"      <td>94</td>\\n\",\n       \"      <td>United Kingdom</td>\\n\",\n       \"      <td>323,132</td>\\n\",\n       \"      <td>30 June 2012</td>\\n\",\n       \"      <td>323132</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Wakefield</th>\\n\",\n       \"      <td>91</td>\\n\",\n       \"      <td>United Kingdom</td>\\n\",\n       \"      <td>327,627</td>\\n\",\n       \"      <td>30 June 2012</td>\\n\",\n       \"      <td>327627</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Leicester</th>\\n\",\n       \"      <td>87</td>\\n\",\n       \"      <td>United Kingdom</td>\\n\",\n       \"      <td>331,606</td>\\n\",\n       \"      <td>30 June 2012</td>\\n\",\n       \"      <td>331606</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"            Rank           State Population Date of census/estimate  \\\\\\n\",\n       \"City                                                                  \\n\",\n       \"Nottingham   103  United Kingdom    308,735            30 June 2012   \\n\",\n       \"Wirral        97  United Kingdom    320,229            30 June 2012   \\n\",\n       \"Coventry      94  United Kingdom    323,132            30 June 2012   \\n\",\n       \"Wakefield     91  United Kingdom    327,627            30 June 2012   \\n\",\n       \"Leicester     87  United Kingdom    331,606            30 June 2012   \\n\",\n       \"\\n\",\n       \"            NumericPopulation  \\n\",\n       \"City                           \\n\",\n       \"Nottingham             308735  \\n\",\n       \"Wirral                 320229  \\n\",\n       \"Coventry               323132  \\n\",\n       \"Wakefield              327627  \\n\",\n       \"Leicester              331606  \"\n      ]\n     },\n     \"execution_count\": 77,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_pop.set_index(\\\"City\\\").sort_values([\\\"State\\\", \\\"NumericPopulation\\\"], ascending=[False, True]).head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 78,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"city_counts = df_pop.State.value_counts()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 79,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"city_counts.name = \\\"# cities in top 105\\\"\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 80,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>NumericPopulation</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>State</th>\\n\",\n       \"      <th>City</th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>United Kingdom</th>\\n\",\n       \"      <th>London[2]</th>\\n\",\n       \"      <td>8615246</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Germany</th>\\n\",\n       \"      <th>Berlin</th>\\n\",\n       \"      <td>3437916</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Spain</th>\\n\",\n       \"      <th>Madrid</th>\\n\",\n       \"      <td>3165235</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Italy</th>\\n\",\n       \"      <th>Rome</th>\\n\",\n       \"      <td>2872086</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>France</th>\\n\",\n       \"      <th>Paris</th>\\n\",\n       \"      <td>2273305</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>...</th>\\n\",\n       \"      <th>...</th>\\n\",\n       \"      <td>...</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Germany</th>\\n\",\n       \"      <th>Bonn</th>\\n\",\n       \"      <td>309869</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Sweden</th>\\n\",\n       \"      <th>Malmö</th>\\n\",\n       \"      <td>309105</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>United Kingdom</th>\\n\",\n       \"      <th>Nottingham</th>\\n\",\n       \"      <td>308735</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Poland</th>\\n\",\n       \"      <th>Katowice</th>\\n\",\n       \"      <td>308269</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Lithuania</th>\\n\",\n       \"      <th>Kaunas</th>\\n\",\n       \"      <td>306888</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"<p>105 rows × 1 columns</p>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"                           NumericPopulation\\n\",\n       \"State          City                         \\n\",\n       \"United Kingdom London[2]             8615246\\n\",\n       \"Germany        Berlin                3437916\\n\",\n       \"Spain          Madrid                3165235\\n\",\n       \"Italy          Rome                  2872086\\n\",\n       \"France         Paris                 2273305\\n\",\n       \"...                                      ...\\n\",\n       \"Germany        Bonn                   309869\\n\",\n       \"Sweden         Malmö                  309105\\n\",\n       \"United Kingdom Nottingham             308735\\n\",\n       \"Poland         Katowice               308269\\n\",\n       \"Lithuania      Kaunas                 306888\\n\",\n       \"\\n\",\n       \"[105 rows x 1 columns]\"\n      ]\n     },\n     \"execution_count\": 80,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_pop3 = df_pop[[\\\"State\\\", \\\"City\\\", \\\"NumericPopulation\\\"]].set_index([\\\"State\\\", \\\"City\\\"])\\n\",\n    \"df_pop3\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 81,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"#df_pop3.sum(level=\\\"State\\\")\\n\",\n    \"#df_pop4 = df_pop3.sum(level=\\\"State\\\").sort_values(\\\"NumericPopulation\\\", ascending=False)\\n\",\n    \"#df_pop4\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 82,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_pop4 = df_pop3.groupby(level=\\\"State\\\").sum().sort_values(\\\"NumericPopulation\\\", ascending=False)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 83,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>NumericPopulation</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>State</th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>United Kingdom</th>\\n\",\n       \"      <td>16011877</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Germany</th>\\n\",\n       \"      <td>15119548</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Spain</th>\\n\",\n       \"      <td>10041639</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Italy</th>\\n\",\n       \"      <td>8764067</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Poland</th>\\n\",\n       \"      <td>6267409</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"                NumericPopulation\\n\",\n       \"State                            \\n\",\n       \"United Kingdom           16011877\\n\",\n       \"Germany                  15119548\\n\",\n       \"Spain                    10041639\\n\",\n       \"Italy                     8764067\\n\",\n       \"Poland                    6267409\"\n      ]\n     },\n     \"execution_count\": 83,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_pop4.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 84,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Rank</th>\\n\",\n       \"      <th>City</th>\\n\",\n       \"      <th>State</th>\\n\",\n       \"      <th>Population</th>\\n\",\n       \"      <th>Date of census/estimate</th>\\n\",\n       \"      <th>NumericPopulation</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>London[2]</td>\\n\",\n       \"      <td>United Kingdom</td>\\n\",\n       \"      <td>8,615,246</td>\\n\",\n       \"      <td>1 June 2014</td>\\n\",\n       \"      <td>8615246</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>Berlin</td>\\n\",\n       \"      <td>Germany</td>\\n\",\n       \"      <td>3,437,916</td>\\n\",\n       \"      <td>31 May 2014</td>\\n\",\n       \"      <td>3437916</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>Madrid</td>\\n\",\n       \"      <td>Spain</td>\\n\",\n       \"      <td>3,165,235</td>\\n\",\n       \"      <td>1 January 2014</td>\\n\",\n       \"      <td>3165235</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>4</td>\\n\",\n       \"      <td>Rome</td>\\n\",\n       \"      <td>Italy</td>\\n\",\n       \"      <td>2,872,086</td>\\n\",\n       \"      <td>30 September 2014</td>\\n\",\n       \"      <td>2872086</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>5</td>\\n\",\n       \"      <td>Paris</td>\\n\",\n       \"      <td>France</td>\\n\",\n       \"      <td>2,273,305</td>\\n\",\n       \"      <td>1 January 2013</td>\\n\",\n       \"      <td>2273305</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>...</th>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>100</th>\\n\",\n       \"      <td>101</td>\\n\",\n       \"      <td>Bonn</td>\\n\",\n       \"      <td>Germany</td>\\n\",\n       \"      <td>309,869</td>\\n\",\n       \"      <td>31 December 2012</td>\\n\",\n       \"      <td>309869</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>101</th>\\n\",\n       \"      <td>102</td>\\n\",\n       \"      <td>Malmö</td>\\n\",\n       \"      <td>Sweden</td>\\n\",\n       \"      <td>309,105</td>\\n\",\n       \"      <td>31 March 2013</td>\\n\",\n       \"      <td>309105</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>102</th>\\n\",\n       \"      <td>103</td>\\n\",\n       \"      <td>Nottingham</td>\\n\",\n       \"      <td>United Kingdom</td>\\n\",\n       \"      <td>308,735</td>\\n\",\n       \"      <td>30 June 2012</td>\\n\",\n       \"      <td>308735</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>103</th>\\n\",\n       \"      <td>104</td>\\n\",\n       \"      <td>Katowice</td>\\n\",\n       \"      <td>Poland</td>\\n\",\n       \"      <td>308,269</td>\\n\",\n       \"      <td>30 June 2012</td>\\n\",\n       \"      <td>308269</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>104</th>\\n\",\n       \"      <td>105</td>\\n\",\n       \"      <td>Kaunas</td>\\n\",\n       \"      <td>Lithuania</td>\\n\",\n       \"      <td>306,888</td>\\n\",\n       \"      <td>1 January 2013</td>\\n\",\n       \"      <td>306888</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"<p>105 rows × 6 columns</p>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"     Rank        City           State Population Date of census/estimate  \\\\\\n\",\n       \"0       1   London[2]  United Kingdom  8,615,246             1 June 2014   \\n\",\n       \"1       2      Berlin         Germany  3,437,916             31 May 2014   \\n\",\n       \"2       3      Madrid           Spain  3,165,235          1 January 2014   \\n\",\n       \"3       4        Rome           Italy  2,872,086       30 September 2014   \\n\",\n       \"4       5       Paris          France  2,273,305          1 January 2013   \\n\",\n       \"..    ...         ...             ...        ...                     ...   \\n\",\n       \"100   101        Bonn         Germany    309,869        31 December 2012   \\n\",\n       \"101   102       Malmö          Sweden    309,105           31 March 2013   \\n\",\n       \"102   103  Nottingham  United Kingdom    308,735            30 June 2012   \\n\",\n       \"103   104    Katowice          Poland    308,269            30 June 2012   \\n\",\n       \"104   105      Kaunas       Lithuania    306,888          1 January 2013   \\n\",\n       \"\\n\",\n       \"     NumericPopulation  \\n\",\n       \"0              8615246  \\n\",\n       \"1              3437916  \\n\",\n       \"2              3165235  \\n\",\n       \"3              2872086  \\n\",\n       \"4              2273305  \\n\",\n       \"..                 ...  \\n\",\n       \"100             309869  \\n\",\n       \"101             309105  \\n\",\n       \"102             308735  \\n\",\n       \"103             308269  \\n\",\n       \"104             306888  \\n\",\n       \"\\n\",\n       \"[105 rows x 6 columns]\"\n      ]\n     },\n     \"execution_count\": 84,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_pop\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 85,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"df_pop5 = (df_pop[[\\\"State\\\", \\\"NumericPopulation\\\"]]\\n\",\n    \"                 .groupby(\\\"State\\\").sum()\\n\",\n    \"                 .sort_values(\\\"NumericPopulation\\\", ascending=False))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 86,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_pop5 = (df_pop.drop(\\\"Rank\\\", axis=1)#[[\\\"State\\\", \\\"NumericPopulation\\\"]]\\n\",\n    \"                 .groupby(\\\"State\\\").sum()\\n\",\n    \"                 .sort_values(\\\"NumericPopulation\\\", ascending=False))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 87,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>City</th>\\n\",\n       \"      <th>Population</th>\\n\",\n       \"      <th>Date of census/estimate</th>\\n\",\n       \"      <th>NumericPopulation</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>State</th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>United Kingdom</th>\\n\",\n       \"      <td>London[2]BirminghamLeedsGlasgowSheffieldBradfo...</td>\\n\",\n       \"      <td>8,615,2461,092,330757,655596,550557,382524,619...</td>\\n\",\n       \"      <td>1 June 201430 June 201330 June 201231 December...</td>\\n\",\n       \"      <td>16011877</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Germany</th>\\n\",\n       \"      <td>BerlinHamburg[10]MunichCologneFrankfurtStuttga...</td>\\n\",\n       \"      <td>3,437,9161,746,3421,407,8361,034,175701,350604...</td>\\n\",\n       \"      <td>31 May 201430 December 201331 December 201331 ...</td>\\n\",\n       \"      <td>15119548</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Spain</th>\\n\",\n       \"      <td>MadridBarcelonaValenciaSevilleZaragozaMálagaMu...</td>\\n\",\n       \"      <td>3,165,2351,602,386786,424696,676666,058566,913...</td>\\n\",\n       \"      <td>1 January 20141 January 20141 January 20141 Ja...</td>\\n\",\n       \"      <td>10041639</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Italy</th>\\n\",\n       \"      <td>RomeMilanNaplesTurinPalermoGenoaBolognaFlorenc...</td>\\n\",\n       \"      <td>2,872,0861,332,516989,845898,095677,015594,774...</td>\\n\",\n       \"      <td>30 September 201430 September 201430 September...</td>\\n\",\n       \"      <td>8764067</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Poland</th>\\n\",\n       \"      <td>WarsawKrakówŁódźWrocławPoznańGdańskSzczecinByd...</td>\\n\",\n       \"      <td>1,729,119760,700709,757632,432547,161460,35440...</td>\\n\",\n       \"      <td>31 March 201431 March 201431 March 201431 Marc...</td>\\n\",\n       \"      <td>6267409</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"                                                             City  \\\\\\n\",\n       \"State                                                               \\n\",\n       \"United Kingdom  London[2]BirminghamLeedsGlasgowSheffieldBradfo...   \\n\",\n       \"Germany         BerlinHamburg[10]MunichCologneFrankfurtStuttga...   \\n\",\n       \"Spain           MadridBarcelonaValenciaSevilleZaragozaMálagaMu...   \\n\",\n       \"Italy           RomeMilanNaplesTurinPalermoGenoaBolognaFlorenc...   \\n\",\n       \"Poland          WarsawKrakówŁódźWrocławPoznańGdańskSzczecinByd...   \\n\",\n       \"\\n\",\n       \"                                                       Population  \\\\\\n\",\n       \"State                                                               \\n\",\n       \"United Kingdom  8,615,2461,092,330757,655596,550557,382524,619...   \\n\",\n       \"Germany         3,437,9161,746,3421,407,8361,034,175701,350604...   \\n\",\n       \"Spain           3,165,2351,602,386786,424696,676666,058566,913...   \\n\",\n       \"Italy           2,872,0861,332,516989,845898,095677,015594,774...   \\n\",\n       \"Poland          1,729,119760,700709,757632,432547,161460,35440...   \\n\",\n       \"\\n\",\n       \"                                          Date of census/estimate  \\\\\\n\",\n       \"State                                                               \\n\",\n       \"United Kingdom  1 June 201430 June 201330 June 201231 December...   \\n\",\n       \"Germany         31 May 201430 December 201331 December 201331 ...   \\n\",\n       \"Spain           1 January 20141 January 20141 January 20141 Ja...   \\n\",\n       \"Italy           30 September 201430 September 201430 September...   \\n\",\n       \"Poland          31 March 201431 March 201431 March 201431 Marc...   \\n\",\n       \"\\n\",\n       \"                NumericPopulation  \\n\",\n       \"State                              \\n\",\n       \"United Kingdom           16011877  \\n\",\n       \"Germany                  15119548  \\n\",\n       \"Spain                    10041639  \\n\",\n       \"Italy                     8764067  \\n\",\n       \"Poland                    6267409  \"\n      ]\n     },\n     \"execution_count\": 87,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_pop5.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 88,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 4))\\n\",\n    \"\\n\",\n    \"city_counts.plot(kind='barh', ax=ax1)\\n\",\n    \"ax1.set_xlabel(\\\"# cities in top 105\\\")\\n\",\n    \"df_pop5.NumericPopulation.plot(kind='barh', ax=ax2)\\n\",\n    \"ax2.set_xlabel(\\\"Total pop. in top 105 cities\\\")\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch12-state-city-counts-sum.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Time series\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Basics\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 89,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import datetime\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 90,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"DatetimeIndex(['2015-01-01', '2015-01-02', '2015-01-03', '2015-01-04',\\n\",\n       \"               '2015-01-05', '2015-01-06', '2015-01-07', '2015-01-08',\\n\",\n       \"               '2015-01-09', '2015-01-10', '2015-01-11', '2015-01-12',\\n\",\n       \"               '2015-01-13', '2015-01-14', '2015-01-15', '2015-01-16',\\n\",\n       \"               '2015-01-17', '2015-01-18', '2015-01-19', '2015-01-20',\\n\",\n       \"               '2015-01-21', '2015-01-22', '2015-01-23', '2015-01-24',\\n\",\n       \"               '2015-01-25', '2015-01-26', '2015-01-27', '2015-01-28',\\n\",\n       \"               '2015-01-29', '2015-01-30', '2015-01-31'],\\n\",\n       \"              dtype='datetime64[ns]', freq='D')\"\n      ]\n     },\n     \"execution_count\": 90,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"pd.date_range(\\\"2015-1-1\\\", periods=31)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 91,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"DatetimeIndex(['2015-01-01', '2015-01-02', '2015-01-03', '2015-01-04',\\n\",\n       \"               '2015-01-05', '2015-01-06', '2015-01-07', '2015-01-08',\\n\",\n       \"               '2015-01-09', '2015-01-10', '2015-01-11', '2015-01-12',\\n\",\n       \"               '2015-01-13', '2015-01-14', '2015-01-15', '2015-01-16',\\n\",\n       \"               '2015-01-17', '2015-01-18', '2015-01-19', '2015-01-20',\\n\",\n       \"               '2015-01-21', '2015-01-22', '2015-01-23', '2015-01-24',\\n\",\n       \"               '2015-01-25', '2015-01-26', '2015-01-27', '2015-01-28',\\n\",\n       \"               '2015-01-29', '2015-01-30', '2015-01-31'],\\n\",\n       \"              dtype='datetime64[ns]', freq='D')\"\n      ]\n     },\n     \"execution_count\": 91,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"pd.date_range(datetime.datetime(2015, 1, 1), periods=31)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 92,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"DatetimeIndex(['2015-01-01 00:00:00', '2015-01-01 01:00:00',\\n\",\n       \"               '2015-01-01 02:00:00', '2015-01-01 03:00:00',\\n\",\n       \"               '2015-01-01 04:00:00', '2015-01-01 05:00:00',\\n\",\n       \"               '2015-01-01 06:00:00', '2015-01-01 07:00:00',\\n\",\n       \"               '2015-01-01 08:00:00', '2015-01-01 09:00:00',\\n\",\n       \"               '2015-01-01 10:00:00', '2015-01-01 11:00:00',\\n\",\n       \"               '2015-01-01 12:00:00'],\\n\",\n       \"              dtype='datetime64[ns]', freq='H')\"\n      ]\n     },\n     \"execution_count\": 92,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"pd.date_range(\\\"2015-1-1 00:00\\\", \\\"2015-1-1 12:00\\\", freq=\\\"H\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 93,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ts1 = pd.Series(np.arange(31), index=pd.date_range(\\\"2015-1-1\\\", periods=31))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 94,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"2015-01-01    0\\n\",\n       \"2015-01-02    1\\n\",\n       \"2015-01-03    2\\n\",\n       \"2015-01-04    3\\n\",\n       \"2015-01-05    4\\n\",\n       \"Freq: D, dtype: int64\"\n      ]\n     },\n     \"execution_count\": 94,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ts1.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 95,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"2\"\n      ]\n     },\n     \"execution_count\": 95,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ts1[\\\"2015-1-3\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 96,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Timestamp('2015-01-03 00:00:00')\"\n      ]\n     },\n     \"execution_count\": 96,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ts1.index[2]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 97,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(2015, 1, 3)\"\n      ]\n     },\n     \"execution_count\": 97,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ts1.index[2].year, ts1.index[2].month, ts1.index[2].day\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 98,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0\"\n      ]\n     },\n     \"execution_count\": 98,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ts1.index[2].nanosecond\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 99,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"datetime.datetime(2015, 1, 3, 0, 0)\"\n      ]\n     },\n     \"execution_count\": 99,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ts1.index[2].to_pydatetime()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 100,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ts2 = pd.Series(np.random.rand(2), \\n\",\n    \"                index=[datetime.datetime(2015, 1, 1), datetime.datetime(2015, 2, 1)])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 101,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"2015-01-01    0.668450\\n\",\n       \"2015-02-01    0.641958\\n\",\n       \"dtype: float64\"\n      ]\n     },\n     \"execution_count\": 101,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ts2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 102,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"periods = pd.PeriodIndex([pd.Period('2015-01'), pd.Period('2015-02'), pd.Period('2015-03')])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 103,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ts3 = pd.Series(np.random.rand(3), periods)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 104,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"2015-01    0.802754\\n\",\n       \"2015-02    0.552903\\n\",\n       \"2015-03    0.802409\\n\",\n       \"Freq: M, dtype: float64\"\n      ]\n     },\n     \"execution_count\": 104,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ts3\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 105,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"PeriodIndex(['2015-01', '2015-02', '2015-03'], dtype='period[M]')\"\n      ]\n     },\n     \"execution_count\": 105,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ts3.index\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 106,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"2015-01    0.668450\\n\",\n       \"2015-02    0.641958\\n\",\n       \"Freq: M, dtype: float64\"\n      ]\n     },\n     \"execution_count\": 106,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ts2.to_period('M')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 107,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"PeriodIndex(['2015-01', '2015-02', '2015-03', '2015-04', '2015-05', '2015-06',\\n\",\n       \"             '2015-07', '2015-08', '2015-09', '2015-10', '2015-11', '2015-12'],\\n\",\n       \"            dtype='period[M]')\"\n      ]\n     },\n     \"execution_count\": 107,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"pd.date_range(\\\"2015-1-1\\\", periods=12, freq=\\\"M\\\").to_period()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Temperature time series example\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 108,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"1388530986\\t4.380000\\n\",\n      \"1388531586\\t4.250000\\n\",\n      \"1388532187\\t4.190000\\n\",\n      \"1388532787\\t4.060000\\n\",\n      \"1388533388\\t4.060000\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!head -n 5 temperature_outdoor_2014.tsv\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 109,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df1 = pd.read_csv('temperature_outdoor_2014.tsv', delimiter=\\\"\\\\t\\\", names=[\\\"time\\\", \\\"outdoor\\\"])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 110,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df2 = pd.read_csv('temperature_indoor_2014.tsv', delimiter=\\\"\\\\t\\\", names=[\\\"time\\\", \\\"indoor\\\"])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 111,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th>outdoor</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1388530986</td>\\n\",\n       \"      <td>4.38</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>1388531586</td>\\n\",\n       \"      <td>4.25</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>1388532187</td>\\n\",\n       \"      <td>4.19</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>1388532787</td>\\n\",\n       \"      <td>4.06</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>1388533388</td>\\n\",\n       \"      <td>4.06</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"         time  outdoor\\n\",\n       \"0  1388530986     4.38\\n\",\n       \"1  1388531586     4.25\\n\",\n       \"2  1388532187     4.19\\n\",\n       \"3  1388532787     4.06\\n\",\n       \"4  1388533388     4.06\"\n      ]\n     },\n     \"execution_count\": 111,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df1.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 112,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th>indoor</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1388530986</td>\\n\",\n       \"      <td>21.94</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>1388531586</td>\\n\",\n       \"      <td>22.00</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>1388532187</td>\\n\",\n       \"      <td>22.00</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>1388532787</td>\\n\",\n       \"      <td>22.00</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>1388533388</td>\\n\",\n       \"      <td>22.00</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"         time  indoor\\n\",\n       \"0  1388530986   21.94\\n\",\n       \"1  1388531586   22.00\\n\",\n       \"2  1388532187   22.00\\n\",\n       \"3  1388532787   22.00\\n\",\n       \"4  1388533388   22.00\"\n      ]\n     },\n     \"execution_count\": 112,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df2.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 113,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df1.time = (pd.to_datetime(df1.time.values, unit=\\\"s\\\")\\n\",\n    \"              .tz_localize('UTC').tz_convert('Europe/Stockholm'))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 114,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df1 = df1.set_index(\\\"time\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 115,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df2.time = (pd.to_datetime(df2.time.values, unit=\\\"s\\\")\\n\",\n    \"              .tz_localize('UTC').tz_convert('Europe/Stockholm'))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 116,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df2 = df2.set_index(\\\"time\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 117,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>outdoor</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-01-01 00:03:06+01:00</th>\\n\",\n       \"      <td>4.38</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-01-01 00:13:06+01:00</th>\\n\",\n       \"      <td>4.25</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-01-01 00:23:07+01:00</th>\\n\",\n       \"      <td>4.19</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-01-01 00:33:07+01:00</th>\\n\",\n       \"      <td>4.06</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-01-01 00:43:08+01:00</th>\\n\",\n       \"      <td>4.06</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"                           outdoor\\n\",\n       \"time                              \\n\",\n       \"2014-01-01 00:03:06+01:00     4.38\\n\",\n       \"2014-01-01 00:13:06+01:00     4.25\\n\",\n       \"2014-01-01 00:23:07+01:00     4.19\\n\",\n       \"2014-01-01 00:33:07+01:00     4.06\\n\",\n       \"2014-01-01 00:43:08+01:00     4.06\"\n      ]\n     },\n     \"execution_count\": 117,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df1.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 118,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Timestamp('2014-01-01 00:03:06+0100', tz='Europe/Stockholm')\"\n      ]\n     },\n     \"execution_count\": 118,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df1.index[0]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 119,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAABKUAAAGGCAYAAACqvTJ0AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd3gUVdvG75ndTe8hHUIKoUkTUFQUUUHFFkCkWl997Z/YG3bRV7D3ht3QRJqKiggIiFIFpIQeWhLSSG+7O+f7Y7M7Z3ZndmY2u5tNOL/r4mIyc+bMmbIz5zznee6HI4QQMBgMBoPBYDAYDAaDwWAwGH6Eb+sGMBgMBoPBYDAYDAaDwWAwTj+YUYrBYDAYDAaDwWAwGAwGg+F3mFGKwWAwGAwGg8FgMBgMBoPhd5hRisFgMBgMBoPBYDAYDAaD4XeYUYrBYDAYDAaDwWAwGAwGg+F3mFGKwWAwGAwGg8FgMBgMBoPhd5hRisFgMBgMBoPBYDAYDAaD4XeYUYrBYDAYDAaDwWAwGAwGg+F3mFGKwWAwGAwGg8FgMBgMBoPhd5hRisFgMBgMBoPBYDAYDAaD4XeMbd0Ab3Hq1ClYLJa2bkarSUhIQGlpaVs3g8FwgT2bjPYEe14Z7Q32zDLaK+zZZbQn2PPKaE+09+fVaDQiNjZWvZwf2uIXLBYLzGZzWzejVXAcB8B2LoSQNm4NgyHCnk1Ge4I9r4z2BntmGe0V9uwy2hPseWW0J06n55WF7zEYDAaDwWAwGAwGg8FgMPwOM0oxGAwGg8FgMBgMBoPBYDD8DjNKMRgMBoPBYDAYDAaDwWAw/A4zSjEYDAaDwWAwGAwGg8FgMPxOhxE6ZzAYDAaDwWAwGAwGg9HxqKurg8VicQiAnw40NDSgubm5rZvhlrCwMBiNrTMrMaMUg8FgMBgMBoPBYDAYjICkqakJHMchOjq6rZviV0wmE8xmc1s3QxFBEFBTU4Pw8PBWGaZY+B6DwWAwGAwGg8FgMBiMgKSpqQmhoaFt3QyGEzzPIzIyEvX19a2rx0vtYTAYDAaDwWAwGAwGg8HwOqdT2F57gudbb1JiRikGg8FgMBgMBoPBYDAYDIbfYUYpBoPBYDAYjA4Mqa6EsH4lSHNTWzeFwWAwGAwGQwIzSjEYDAaDwWB0YIRXnwD54i2Q779q66bIQgQBhBDpuvJSCB/PBDmY30atYjAYDAaj/ZCWloZffvmlrZvhEcwoxWAwGAwGg9GRKT4BACBb/2rjhrhCrFYIz98H4bVpkvXCrNdBNq+D8MqjbdQyBoPBYDDalpkzZ2LkyJFt3Qyf43nePgaDwWAwGAwGozUUHQMKjwIAiNkMkvchuD4DgdKiNm4Yg8FgMBgMGrPZDJPJ5PV6macUg8FgMBgMxmkBUS/ib6hsSmTNLyB/roDw8cw2bBCDwWAwGN6hqakJTz/9NPr164esrCyMHj0a27ZtAwDMmzcPvXr1kpT/5ZdfkJaW5tj+2muvYffu3UhLS0NaWhrmzZsHADh06BDGjh2LrKwsDB8+HGvWrHE59p49e3DdddchOzsbZ5xxBh599FHU1dU5tguCgDfffBODBg1CZmYmRo4ciVWrVjm2Hzt2DGlpaVi6dCnGjRuHrKwsLFy40NuXCADzlGIwGAwGg8E4PQhAm5SEqlNt3QIGg8FgBDiEEKCtEncEBYOjJlPUeOmll7Bs2TK89dZb6Ny5Mz744ANMmTIF69atU933mmuuwf79+7Fy5UrMnTsXABAZGQlBEPDf//4XsbGxWLp0KWpra/Hss89K9m1oaMD111+PgQMH4qeffkJZWRkeeeQRTJs2DW+99RYAYNasWfj4448xY8YMnHHGGZg3bx5uueUWrFy5EllZWY66Xn75ZTzzzDN44403EBQUpPnc9cCMUgwGg8FgMBgMBoPBYDACn+YmCPeOb5ND8+/NB4JDNJWtr6/H119/jTfffBMXX3wxAODVV1/FOeecg7lz5yIuLs7t/qGhoQgPD4fBYEBiYqJj/R9//IH9+/fj77//RmpqKgDg8ccfx/XXX+8os3DhQjQ2NuLtt99GWFgYAGD69Om4+eabMW3aNCQkJODjjz/G3XffjdzcXADAtGnTsH79esyaNQsvv/yyo67bbrsNV1xxhaZz9hQWvsdgMBgMBiMgIRWlEBZ9C1JZ3tZN6SAQ7C1rQG5ePsbODpSsdvSMs7wrFykttj0H1ZV+aRGDwWAwGK2loKAAZrMZZ511lmOdyWTCgAEDsH//fo/r3b9/P9LS0hwGKQAYNGiQS5levXo5DFIAcNZZZ0EQBBw8eBA1NTUoLi6WtA0ABg8e7NK2/v37e9xWrTBPKQaDwWAwGAGJ8NZzQNExkJ1bYHj6zbZuTrvkj8NVeGfYy5i55R1kkEY8+usRAICVAG/+WYgHhqYq7nvX0oMorDEDAN6+IgOHTjWhb1IYEsK9L3LqDuGVR4HqSpCC/TA88Lxfj81gMBiMACMo2Oax1EbH1gohtokW53A/Qgg4jgPP844ydsxms+Z6aZSOIQe9Xst+oaGhqm1qLcxTisFgMBgMRmBSdMz2/9GDbduOdsqpBgveWF8EC2/Eg2c9iFpe2pleXVCNR38twJFKqTbHgfJG5OblOwxSADB1WQHe/qsIty0+iKKaZr+034HdQ2r/Lv8el8FgMBgBB8dx4IJD2uafDj2pzMxMBAUFYePGjY51ZrMZ27dvR05ODuLj41FbW4v6+nrH9l27pN+5oKAgCIIgWde9e3ecOHECxcXFjnVbtmxxKbN7925J3Zs2bQLP88jKykJkZCSSk5MlbbPXk5OTo/kcvQUzSjEYDAaDwWB0MMjxAty88IDj76SGchwIS3Ept7esEff9dFiy7qFfCtzWfefSQ15pIwAt0XsOPs66Gs/8fhSCzCwxg8FgMBiBRFhYGG644QZMnz4dq1atwr59+/DII4+gsbEREydOxJlnnonQ0FC88sorOHz4MBYtWoTvvvtOUkeXLl1w9OhR7Ny5ExUVFWhqasIFF1yA7OxsTJ06Fbt27cKGDRswY8YMyX5jx45FcHAwpk6divz8fPz55594+umnce211yIhIQEAcOedd+KDDz7AkiVLcODAAbz88svYtWsXbr31Vr9dIzvMKMVgMBgMRgelttmKumZrWzeD0QaUffK25O/Y5mq80H0yAKBzlGv2nNy8fNz0/X68sOqYX9onixtj08+p5+LXlCHYXlyPO5YcxLJ9LFMfg8FgMAKbJ598EldccQXuu+8+XH755SgoKEBeXh5iYmIQGxuLd999F7///jtGjBiBxYsX48EHH5Tsf9VVV2H48OEYP348+vbti8WLF4PnecyaNQvNzc246qqr8PDDD+Oxxx6T7BcaGoq8vDxUVlbiyiuvxO23347zzz8fL730kqPMrbfeijvuuAMvvPACRowYgVWrVuGLL76QZN7zFxyRC0psh5SWlmqKwQxkOI5DSkoKioqKZGNFGYy2gj2bjPYEe15t1JutmDR/PxLCjPhkdDZ4HS7ngYL1v9c4lg2fLm3DlvgWXzyzP7/4Kj7Kulp2W/f4ENx1djIe+LlAtZ6resTix72uBqB3r8pEerR2bQ0lSOFRCM/eCwDgLhsL8utC24boWByyhuLhwfe73X/W6Gz8fqgKg1LDkRPve90LhhT2vmW0J9jz2n6prq5GVFRUWzfD75hMpnZh41C6PyaTyeGZ5Q7mKcVgMBgMRgfkuZXHAQCl9RZYBdb5Pt3YENdTcdutg5KQFReCJVN6YnyfeMVyvRJCMaV/J9x0pmuHcvn+Sk3tINWVEFb+CFJXK19AwVhqAa9qkAKA2xYfxJwdZXhrvW2QeaC8kT3vDAaDwWC0I5hRisFgMBiMDsaSPRXYW9bg+JuN0Ts2pKkRxCKdSa00RQIAeCIN38ztGYueCaJH0ZT+CciJDwEAJEeIWfXeviIDr1zaFWEmA85Pt81+plFhf+kxwcjNy0duXj6arVIRVhrhnRdA5nwC4XMt2RPFB/XHxLPclHPleHUzXlh1HA/9UoAHNXiAOVP152qYZz4OUs3CAhkMBoPB8CfGtm4Ag8FgMBgM72ERCD7fWiJZN37ePozKicHk/gmICja0UcsYvoA0NUG4dzwQGQ3DG98AABbvKcfh8GQAwOCyPdiY0AcA0KP2GP4zyNWD6rXLMxzLG4/XoNFCkBEb4liXGGHC52OyERFkwLQVR7G/vBHvbxCz/vxTWIchXSLlG3ikRWx9xybZzU1WYMLwmS1/AOecEYFHd32Dr9Mu1nT+dqKDDdhaVAcAKHDKJqjGwYpGPFiQjOGGPpi64Ctw/7lf1/4MBoPBYDA8h3lKMRgMBoPRgbh2zl7Z9T/vr8QNC/bjv4sPyG5vr9Q1W09vbZATBbb/a6ocq77YWupYTm0ocyybBItqdWd3jsSwDFddiPgwE4KNPOSC7SJbYeh8fVej5O+/E/pirN1I5YbMWKmeVVWT6BEWG6pvzvXlP2yhrquTB4PUK4QZMhgMBoPB8AnMKMVgMBgMRgfhj8OiYcKooGteUmdBbl4+DlY0yhcIQB4Y/ABy8/JRQxkerAJBbl4+Jn+3H6Nn70Vlo7rBpaPTbBXw6eaTknXxTdQzIbQ+EyMnowHliYZ+YXUT/io4hY1lnrXJ4OagcaH6jGRl9dSzw7OuMYPBYDAY/oSF7zEYDAaD0UF4Y32RY7lb7XHkh3dWLPvgzwVYMkVZDDtQeLvnBByJSAEAvPt3EYprzTgiE5510/cH2sX5+JLFuytcMuUZKe8ok5O+lPDbEqChDvw1kzUfQ9YU5IGj2l0/HNa/E90ON4YwPRpqDWYnPSxmlGIwGAwGw6+wLy+DwWAwGB2AV9edkPzdu2xfG7XEewjg8EfyIMffG47Xyhqk7BRWN/ujWYEFZZ3J21HmspmnLEZ0+B4hBGT+ZyA/zAUpLXbZT8PhHCjLnMtTVu+a3vr6g8t01eHO8ERvW7CzHLl5+VhNeRHS7Ciuk/xt5dl8LYPBYDAY/oQZpRgMBoPB6ACsO1Ij+Zs2QBh5YMmUnlgypScm9o0HAEQEBXYXYGthLcYNn6Fa7vtJPRzLP+6t8GWTAhMVPS2eiCYjI1EIlWvWLgzuDU+pXSfrXdZl1BXJlFTGnY6Y0LJtR3Edvtlu09d6c30RLDKWrHfWHpX8/UNQtq52MBgMBoPBaB0+nQ5avnw5li9fjtJSW4egc+fOGDduHM4880wAtg7Fd999h99//x21tbXIycnBrbfeii5duviyWQwGg8FgdCjqmt3r8sSEiJ/7XglhAMqREG7ycavkIYQ4dImm/nQYBZVNuLRbNO4ZYgvRswoEBp7D86uOq9Z126BEGHkOg1LDsaWwDj/tq8SVPeKQFhXk03NoT/BE3lNKAtHu60R7Shl5wCK42qTsBiM5/SkA2FXSAADoWluEt9JOgiyZjX9iu2tuA+DeU6q+WUBuXr7L+sKaZqRHBzvaOHH+PjQSqf7U16ZeuFZXSxgMBoPBcGXcuHHo3bs3XnjhBY/2P3bsGM455xz8+uuv6NOnj5dbF1j41CgVFxeHyZMnIznZlpb4jz/+wMyZMzFz5kx06dIFS5YswU8//YS7774bKSkpWLhwIaZPn4633noLoaGhvmwag8FgMBgdhsOnXD1daHMAL2Mc0KO74y0e/qUAZfUWvHNlJub/W4aCllC85QeqcEZiGN5s0cQaLpP9TQ571reJfTthS6EtDOv9DUV4eWRXH7Q+QFFRGecokxGtL6XmYaVcn0iIkUdtswCBEJTWmWERCBLCTbj5+/1IiQzCSyPTcSAqHd2rj0r2K661hVmm1pc6LFqcTncrd80vb5A3vtH6UaNny2epTCKuXlwMBoPBYOjl008/hcnUNhOA7Q2f+u4PHjwYAwcORGpqKlJTUzFp0iSEhIRg//79IIRg2bJlGDNmDIYMGYL09HTcc889aGpqwrp163zZLAaDwWAwOhRL892HrfGc6/KRyiZsK6qT38EHHKxoxP7yRpxqsOCGBfvxg5Mg95uUSPvqgmpNdaZE2jyiuncSJ7LiQk8fTSBCCPKOClif0BengiJky2gK39NhD7JQTlXBRls3st4s4LbFB3Hn0kNYml+BmmYB+8obcd3cfXhi4L14vfcUSR3bi22Gn+za4w7rEq/TSCZ4oK7eZBGw7kg1vvh1h2KZDNTqrpfBYDAYDGdiY2MRESH/bQ4UCCGwWNo+e7Hfem6CIOCvv/5CU1MTunfvjpKSElRWVqJ///6OMiaTCb1798bevXsxcuRI2XrMZjPMZlEgk+M4h1eVkpt4e8He/vZ+HoyOB3s2Ge2J0/F53SGj0UNbGgwcJ3tdnl15DIsm94SB9921Kq0z45/CWqw6rM3QpEZUsAHVTTbjSkSQwXE+1/dPwLfbSxFqMrS7e6/3md1eXIedJ+uxeHc5mqwAzrgBQ0r/lS3rLHTuOAZ1LE7HsZutolUqtMUo9b81osj+V/+UuuyzPrE/sDsPHMfhmm/3ONb3rCoAkNLSTvUQwnBzPepMYQA88/SrNwt4dV0hAOXwzg1cIubsKEP/lHB0jw+FydC+niV/czq+bxntF/a8MvwJHb43ZMgQTJkyBQUFBfjxxx8RHR2NqVOn4vrrr3eU/+eff/DYY4/hwIED6NGjB+677z6XOv/66y9Mnz4du3fvRkxMDK677jo8+uijMBptZp2mpiZMnz4dS5YsQW1tLfr164fnnnsOAwYMAACsX78e1113HfLy8jBjxgzs2bMHeXl5GDp0aKvPtzW/K58bpY4ePYpp06bBbDYjJCQEDz/8MDp37oy9e21u09HR0ZLy0dHRKCtzzR5jZ9GiRViwYIHj78zMTMyYMQMJCQm+OYE2wB7uyGAEGuzZZLQnTqfntcFsG+hPGtQFc7YcAyANhwoKMiIlxTb4L7ScAiCKO4+ZnY9Nj1zsk3ZtOlKBuxftkd3GAfi/C7vhkh4JyP3kL811xkcEo7rJZoRLT0tGUmQIACDqSBOAUoSGhjrOtb1BP7NNFiuOVNSje2IkAOC3/JPYU1yDH3YWobLBNXvdhoS+snXSnlImYnVcG2K1wq7a1alTPII0XjPOcBSALewyNDgIgHrGw2Ent2Ls8JnAt9JnoVdVASIjRqIaAOfkKfXJXy/haHgyvskahSMRqbY2Ux1enpdqQbmjX2o0dhRWSYxn7pj7bxnm/luGUJMBg7rE4KyucTi7ayyyO4WzwawCp9P7ltH+Yc9r+6OhoaHdhcJxHAeDwQCTyQSO4/DJJ5/gsccewwMPPIAff/wRTzzxBM4//3zk5OSgrq4ON998M84//3x8+OGHDhsKABiNRphMJhQVFeHGG2/EhAkT8P7772P//v146KGHEBoaikcffRQA8Nxzz2HZsmV477330LlzZ7z33nuYMmUKNmzYgNjYWIfx6qWXXsJzzz2Hrl27Ijo6utXXNigoqFV9L58bpVJTU/Hqq6+irq4OGzZswPvvv4/nn3/esd354+4umwoAjBkzBldddZXL/qWlpQHhetYaOI5DcnIyiouLVa8Dg+FP2LPJaE+cbs/rlkIx3Kh0+z8AOrmUsVqsKCqyhcdVlLt6Vdm3eZPKRgvuXrBfdtt/BiZidG9bFkDUV8LIc7KZ0eQINYjlykpKINTaOlK1Nbbsg3X19T45H1/i/Mw2WQRcN9c2eXdhRhT+e1YSnvxB/lqq1k2kmlL2a0MEMZSvrLQUXFi0y75ymM1iX8ticTWOybEmaaDLuuzqY+AA1NTYPOh4p3C8+KYqdGqqwtLOFzjWEUqZyqyhz/fmqAxkx4fiqRVHNLUTAO6p34IdvS7C9uI6VDdZse5QOdYdKgcAxIYY0C85HANSwtE/ORyd2ihZQCBxur1vGe0b9ry2X5qbmx3RUoQQNFnb5v4FGzjNkxOEEFitVpjNZhBCcNFFF+GGG24AANx555346KOPsGbNGmRkZGD+/PmwWCx47bXXEBoaiuzsbNx555144oknYLFYYDabMWvWLKSkpODFF18Ex3HIyMjAgw8+iJdffhlTp05FY2MjvvzyS7z55psYNmwYAGDGjBn4448/8M033+Cuu+5y2EsefvhhiXcUHYnmCc3NzbJ9L6PRqMl5yOdGKaPR6LBGZ2dn4+DBg1i2bBlyc3MBAJWVlYiNjXWUr66udvGeojGZTIqWvI7yciGEdJhzYXQs2LPJaE+cDs+rQAieX3nM8ffoPz/HiiG22TKOOnWeozKiyWjxWAVBVgzdU5osAm5UMEh9N7E7ggy85N5oNUgBQGSQ6CHDca7ffoHY1u0prcfjy20eYR9cneWTjHyldWaYDJwku2FrsD+zdy496Fj3R0E1/tCosSWHJHzPanZcL/q6EUI0C58Tqj5PnxgjD7y69V3JOmdPKXvd9+xdgPd6XoeLizbjvZ7jHduLa9U70KEm23OmpZ0xzTW49shKXHLiT4y8dRIIx6HgVBO2F9dhe3E9dpXU41SjVXI/OkcFoX9yGPonh6NPUhjCg7R7b3U09Lxv5/9bhqgQAy7PiVUvzGD4gNOhf9CRabISTJi3r02OPW9Cd4QYPfv69e7d27HMcRwSEhJQXm6b9Ni/fz969+4tSfY2aNAgyf4HDhzAoEGDJEaxs846C3V1dSgqKkJVVRXMZjPOOussx3aTyYQBAwZg/35pn6xfv34enYM7WvOb8rsaKCEEZrMZiYmJiImJwY4dO5CZmQkAsFgs2L17N6ZMmaJSC4PBYDAYjC+3lkj+Tm2QD3+nJaPkbE8P/VyAN6/I9EqbCCEYr9BZjAs1IsjQuhwrtP4VbUgTF22dIrtBCgBWHKzETWcmurTzxdXHUdFgweuXZ+jW1SqtM+O2xQcRF2rEZ2OyvWbUI4SgvN57nt90F5EO5fO4PqpCT0/5kqwYYKW0QqXsewlNlXh++6cAgLd7T9J1nHCT7VnTMqv9wO7Z6FtpMwaSDX+AP/ciZMWFICsuBGN6x8NsFZBf1oBtRfXYXlyHgxWNOF7djOPVzfhpXyV4DsiJD0H/5HAMSA5H906Bo0f16K9HsLesAQNTwlHRYMGg1HDc6PR78BVFNc0oqTMjPtSIe348LNk2KDUCCeEmlNaZsbukHm+0JDtYPLkHC5NkMBgdDnvonB2O4yAItu+yFoMOIcRtlJlj8lGmjPO6sLAw7Q33Az41Ss2ePRtnnnkm4uPj0djYiD///BO7du3CtGnTwHEcrrjiCixatAgpKSlITk7GokWLEBwcjPPPP9+XzWIwGAwGo0NAC5w/v+1jybY6ozjbpmYwOXSqSfexrY0NePnPk+gSG4abB9oGuE+vOOoiuv78xV3wbIs3V6+EUJd69EKfCS+zXiDAn0eknkX2LH12qhstWF1QjS2FtuyDL/9xHE9f1EVXO55aYTN6VTRYYBUIeC8YIMrrzbhl4QHVctHBBlQ1uWbS4zlXAfDERjHL4W/JZ2OM/Q+6nIezm5yHvlJ9k6jOcMuhvWEwc8bYck+0tNLCiV5OZPE3IIOHgjOJz43JwKNvUjj6JoXjBiSgtsmKf0vqsb2oDtuL61BYY8beskbsLWvE/J3lCDZw6JNk86LqnxyGrjHBbWJoWX6gEnvLGgAAW1uybRZUNmFwWgR6J/p2UDJz7Qn8ebRGcfttiw+iT2IodpY0SNaPnm0LXV0ypadP28dgMNonwQYO8yZ0b7Nj+4Lu3bvj+++/R0NDg8NbauvWrZIyOTk5WLZsmcTItHnzZkRERCAlJQWxsbEICgrCxo0bMWaM7WtvNpuxfft2/Pe///VJu72FT41SVVVVeO+993Dq1CmEhYWha9eumDZtmsNdLDc3F83NzZg1axbq6urQrVs3TJs2TeK2xmAwGAwGwxWLQHC4xZg0I+oQcioPSrZbOdFko+QElBkbjMOnmpAQpr87MPZ7m07P5uJGLNpTgQfPS3ExSH07LgeHTzU6/o5QCW/iAAV/GRH6XHieXm/bsPNkPVa7yfQ3ffVxbDpRK1m3ubAOm0/UYnCattTNhBBN4WN60WKQAoBO4UZZo1RUsAGVjdL1WbWFjuXhJ7eC1A8EQkKkO+qwSdFFPbWxhAe5esvxlGHsv/sWeVTv2WU7sbFTH8ffhpYGanGCazZQ0hAVZSArfwR32VjF8hHBBpzbJRLndrEJ0ZfUmrHjZB22t3hSVTVZsaWwzmH4jA4xOAxU/ZPDkeAnPar3NxTLrn/it6N4/uIuGJAS7pPjfrOt1K1Byo6zQYomNy/fscwMVAwGww7HcR6H0AUqY8aMwYwZM/Dwww9j6tSpOHbsGD766CNJmZtuugmzZs3CU089hVtuuQUHDx7E66+/jttvvx08zyMsLAw33HADpk+fjpiYGKSlpeGDDz5AY2MjJk6c2EZnpg2fGqXuuusut9s5jsP48eMxfvx4t+UYDAaDwTjd2Xi8Bi/9cQLndonEYxek4sGfCxzb4njRQNKzsRj5IckYfnILfuxiE4mWeGhQVoXgllC6Up3hYidrXTOu2UNv7Lw8Ih2RwQaJ4SJIpRNpMnBoVhEvpc9FzgOszM25bC2sdTFI2Xlx9XF8P6kHjBosGFOc9LK8oUyy9N9Cyd8js6Px+6EqF88nADDx8iGQ4bCgUsYv6PVNb+Kf+B646vg6CFN/B7J6gH/0FaqE9jPwhgyLJIRTxkPqnLJ/Zfd7ftvHmJWTi//Ln4/Xhj2IkjoL+lfsw/Y424x5r8oCiVHKfiu1DF0GludL/iY/fQcydAS4iCgNewOJESaMiIjBiOwYCITgaGUTthfXY1tRHXaV1KOq0Yo1BdVY06JHlRoZhAEpoh6VmsHWEwqr3WdG/O1gpdeNUoQQh6eTNzl8qhGZsSHqBZ3a0mwlCDa2LmSYwWAwfE14eDi+/PJLPP7447jsssuQk5ODadOmSTycUlJS8M0332D69OkYOXIkYmJiMGnSJEydOtVR5sknnwQhBPfddx/q6urQr18/5OXlISYmpg3OSjt+15RiMBgMBoOhjWargLpmAU+tOIrjLQPMv47VYNOJWhypFEPuOhmtDrPCi0U/oKqoGHHNopcC7W1OmwCu7BGL/JbQngPljegW737Q12QRcP+yAhTWuB/sAkCvRJvXMx3iFayiJ2UzMrm3etA1SLym3FgeCAHMVgHPrzrutu5r5+zFvAndwXNQ1L5qstjuiXP9epj3bxkKa5px68BERLWIpL/4i2gUGd8nHpP7dcJ/ByfJ6nMpnWvEySNAdIbL+sy6ImTWUUbDQ3uljfbQ0qRHhivM0oD6lpBSidZSi55GMy92SUMt8uGkfSsP4u1NbwAA3hiVgd9eeQs9qo84jFLxzVVO7WsJ31Nx6cqsOQETsXmY8e/MhTDzceB4AchP34GbcKvWU5QcNyM2BBmxIcjtFQezVcDessYW0fQ67C9vRGFNMwprmrGsRY+qW5xNj6p/Shh6dgqFqZXaawCwmcrM+eIlXfD078ck23t28n5kwqwtJW63j+0dh4W7K1zWTz03BQYOyIoLwb1O2lMAcP+yAnw7LgefbD6JtMggTOznmmXUmf+tOYENx2txZfcY3H5WsvaTYDAYDC+wYMECx/KGDRtctv/222+SvwcNGuSyrqSkRJIZ79xzz8VPP/2keMyQkBC8+OKLePHFF2W3n3feeThx4oSm9vsTZpRiMBgMBiMA+XV/JT7YKB9689IfYodiQhqAJnHQbeAgMUi5QNkf0qNFzZyHfilQDZFREjCXw2EQoNapaTFoGYdLhLs1xo8dr27CuLna2m7P6LNwUg9Z8fMTKt4nctSbrfjjcDUuzopGRYMFs3fYBOntYYZLr+/lKHt1j1hM6W9Lnxxs5NA7IRS7SxswPCMKq1u8bJROO9zSKPm73yn5DIgu6DJKSQL4NO8VJFhgD+6knwOy4Q8AQJNBfBaDBfXQyAgTj9zja3A8TEw1HeP03Ds8pVSaGWalrpvRBH7cLRDeehZk1U8gF18JLqF1Bg2TgUefpDD0SQrDlP4JqG22YufJekdmvxPVzdhX3oh95Y34bpdNj+qMxDD0b/Gk6hoT7JGQfkiLh1CIkUO/5HAMy4hCRYMFsSEGrD1SA6sXs4+V1pnx19Fq/LhX1DAbd0Y8JvbthHFzRc8pg8x5ZMcF4+IsW+btumbXsFQ711MeinP+LcP1/Tvhuj6dHN5Z/ZPDsL3Y9pTNGp2NDcdtRrmf9lXiloFJASM8z2AwGAwpzCjFYDAYDEYAomSQcmZC3qPANZPFFTKDPgsVA0YPQ+UEwO2eO84UnGp0WffffYvwaXeHdDaeu7gLnlsp9cag7RZq4XtyA1YAGF/wG+ZnjASgbBJxN2hfmn9KcdtNAxLw1bZSl/WT5u/Du1dlIjHcJPG0sWfG6xwV5PBeUxraH61swv/9JHp9fLTppGy5b7eJ3iWje8dJtv3v0q4AgI83ic+DkudPEGXMeWvj60hRyMbYGjwzSQFGQQyrNHJULXGdgMpyWCmhcW312upIqy9Fj6oCNBmCkNggeuBwEK+TWn0SzyyeB3fGmUDvAcDubSCLvwX334c1tUgrEUEGnNMlEue06FGV1pmxo8VAtb24DpWNVmwtqmsRJi9FdLAB/ZLDMCAlXJceVaPF5oV2dprtOA8NTQUAvLXeFioqyGjLm60EPAe32ShXH65CSZ0Z4/vYvJVO1Tfj1kWuemg3DEhwWXdeeiS+21UuWXd5TqxjWY/t7dvtZbiuTyfH78pukAJsIuo0+8obcIaPhd0ZDAaD4RnMKMVgMBgMRjtlzppptoUmymB02NUjSGqUEpedDTnv/F2Mp4Z3dtnfKhBMXVbgsr4rFRJmEKyyKY1p5yelkDixPfLrs2ooV3PqEHrCx+xc1i0Gvx6odPxtkRNtAtBkJbh9ySEAUpHlOrPNk4PWABIIQb3ZijCTuG7FwUq8+7c2w+L8neIgvVOYvMGBvrRKVzHYKnpxpdfLG8CoGuUrV9vLw+tvEkQPGOOmNeKGQzYvmn6n9iOn+iiya9yHWDpouW8cgP/98wEAoCw4WmwnVVStnRJPqRa9Lv7amyDs2Q6ycQ3IyFxwGTna2uUBCeEmXJIdg0uyY0AIwZEWPartxS16VE1WrD1Sg7VHbJ5gqZGmFtH0cPRNCkNEsLweVVOLUcrZGGw3ODk/+jVNVoc3kpII+rQVR7GzJaHBioNVOKkg+L94cg/Z9VlxriHCtPC9Xo+wm7/fj1ONyt5VdqwKv3MGg8FgtD3MKMVgMBgMRoCxp1Sc8f/g6izc/cMhlzJdI41imJPKQE5ilHIyKswZn4NJ820D0cpGV5HwNQXVeP1PUYQ7zMRjVE4MuJ+/Q6+qAsd6E7Gga0yw68Gppil5QjmKKmw3EnnxcqnouduqAQDX9LSFxtFGqTqzjLuIEwt2luPKHrEINfGobylPD6Tt1+/NURnIigvB5hO1mg1SNPefl6KpnNJlzKk5hqLQTi7aSur4fsBO30PDhlUu203Eihlb39NeodX1meAVjWvuH45Qe9gjx4neVenZ4IYMB/l7FYQFX4J/aLqqNpU34Fz0qAj2lTdge3EdthXVY395AwprzCisqcTP+216VNl2ParkMPRKEPWoGi226xHiJPRt/604h+/lbRc9Bp9decxhjK03Wx3POI2SQeqba7vJXqvYUPlhB/1e0HuFtRikAH884QwGg8HwFGaUYjAYDAYjwHhxtegtkhwh7zlzXqrocUDW/Oq2PiVvIJ4DwkwG3D44CZ9sPolmi7Sc2UokBikA+CQ3GxEmDsIHTsckQHyYCe9dlYnwIDoUixpwqow4eZlMbABgpOKMiIfDy8zYYNw6KMllfbNZPfPgN9tL8U3LgN0ekhRqcvVX+mV/Je46O0ly/+zMGZ+D/605gehgg8PjxZmLs2Jkvc2cUfImMQpWvPLP+/pioABdI3ZJ+J6Ow3DUeQVx6oZAVapcxbJ5Im+gUPeUagnfc8pqyI2eArJ5HbD3X2DnFqDvYI+a2hpMLfpSZySGYXI/m+bSzpJ6mydVUR2OVzdjf3kj9pc3YsGucgQZOPRNCsNNZyZiQUuYnPP5258fwelZ+3l/peRvi0Bg5Dnc9L1raJ4cH16dhdSoIPWCTtAZL5XuVYiRd4QjKvFJbhYsArCjuE4xVJbBYDAYgQfLkcpgMBgMRgBx74+HHNndLusWo6jtkh1NzSvV18qWsZMWJXowSY0Ktrrjw2x10Z4TT684KhEoBoCXR6YjUiFUiG/J69clOhhxlEcEbbhQs2HU1LnqVgGAgTI2KNlP1MJ++iTJ68kIVfJ6U0um9MQFXSNd1n/Toj9VKeOh8euBSlkx+BAjhzCTAS9eko6Hz0+TPd4Vvd2LaWsJR3MY9bSE49FFPAzf0+M5VBEc5VgObmrQvJ8SwsczxT/Cbfcp0lwvW1atmY79OCejVHwiuEuush1vwZcggjavHF8SHmTAkM6RuH1wEt6/Ogufj8nG1HNTMDwjCrEhBjRbCbYU1uE+SsvMWVPNrvdtt1UTQrCtqM7lWF9stWmdNVu1PR/Jke61rpQGHfQ7jn6mzkgUswMOTHUNJaTpnxyGpIggpEUFYVT3WJzv9Nu1P7dbC2uRm5ePz7cwoxWDwWAECswoxWAwGAxGgFBWb8axKlEXaELfeAC2dOmje0kFsGOD1T/hr13eFZdkReOeIaLBQ87+YPdusIfv5eblY8dJ6QD/PwMTWy0UrGYcaDbIe1lEmcUBs1IVanVHKRjTaCeyUTkxAICh6bYBrZIBCYBDV8cZuQG8O9FoO9f01Ra6ByhfA7thUDceZt/T449l4URDpcmqnl1PlaNUSKvFVp8BBGGCa3ZEXqGlIwv/RmxTNS4u3tRS0PU3xY26DgiLAAqPgqxf2fp2e5n4MBMuzorGA0NT8cXYbhjfJ96lTJjJOXzPdj2sgs0YddPCA3jWOUEBgKNVTdhRLP72hqZHItTI46kLRd25a8+Ix9c3DMZ7V2Wp60EpbDYoGK6HdI6UlPnomizMaBH+dyY9Who67Kwh9ezKY8jNy8fzq2xejEvyT6Gs3gvPIYPB8BtaPIkZ/keQy5qhExa+x2AwGAxGgLDigKgFtHBSD4cxw54uffEeMWQpMkjdKJUTH4qcc0NVy5lajtNkIXhhlevgFHA2+sgImit0FjmFZT10qRez0yl2SRVC/+xoMUrdOigR53SJRK8E8ZotmdITVoFg7Jy9MnsrkxkbjMOnbGFhWs67Z3IkqsvlPcUAZw8l+TLKmkoqqFw7pXbo4fLC9fgl7TxcduJvoLRIfQc9UEL/3euLsC3CyXChcL3u2rcQAhaBtz9Vckap8AhwV00Amf8ZyJI8kLMuABfsKtYdCHAcB5PB9WRdw/ds/3+/uwLf75aGQY7KiUGQgcOS/FPoFheCp38X3wePXpAGgRDwHIfPx2SjqMaMvsnhSEmOQhGp83jAqCV8j+c4pEQGIcXVeREAXM5bJdIPAHDrooN4aUS6ohclg8EIHIKDg9HQ0ICwMPZ7DSQEQUBNTQ3Cw917s6rBjFIMBoPBYAQIc/4tcyyredeEGz018bhir8ks2EJ/5IgKNoA0NgCnyoEkV68eTsFcJAnf84JQdGclzZqD+QDi5LdB2ShFt9pk4GUzjhl4Do9dkIoZawtdtinxxqgMjJltM2RpOevwICOqNdat6Cmlw7gkwUNjglBTDa1dyayaQny17jmYiBVI6wqcOOLRMWUJCQUabSGBZt71Prsz3/KSdI7yJbnhV4D8/gNQXgKyYim4K8e3orG+xSzjqef8vLh7t9x5drIjbG8hZbCyG454R8ivCfEKmSKV0Bu+J313iMuDUsNd3lNGp3PSmm1v2oqjjuUZl3ZFzwR1I35bseJgJdYfrcG0Cztr8r5kMDoSwcHBqKurQ1VVlV+STgQKQUFBaG529QAOJMLDw2E0ts6sxIxSDAaDwWAEALSXgZyWkTOhGoxSwoolQHMz+Cuuc1tOS//ugq5REJ64DagoBf/Iy651KHpK6cusFUrMaOBMGF/wG+ZnjIRRkAqRp0QG4YVLuiAmRNqF4Wuq4M4oRYuv02g145yXHoVvxoXjhgWuWchoHjwvBV2ig6WhTF7oQEeHiO0XrPKtNvN6unXU/dJhlKK18HfVaz+egVhtBinARbup1VjEMKxdYZ1dNpspA8UwayHWGFLxypZ3XeuRMWgBAGcygRtzA8is10F++R7kgkvBRcW0utm+4IrusZi/s9xtGaUwO9nsmS3Mvi6nVe0C3Hj4KaynV9MZ+sb2jncxSrl4Srl5pmNDjTjV4JrgYNm+UwgycFhxqAqT+nZS1M9rC07WNjsyes5YewJPXuj6nDMYHZ3WeuO0NziOQ0pKCoqKijp86CIzSjEYDAaDEQCMni2Gh03ql6Banuc4VYMKmfeZ7f+zLgCX4F5Im2ZASjieGd5ZErJm4DlYK2wi32TrXy77aPOUUj/2t5VLYNmxBUZiRbfqY8iqdfVO6p8s0zFVqduocHCNDhUAlL2taC7MjHZZ5w0TzNje8Ti6ahXOK/kXb2CKbJlGBU0udbRfBLnBvBasHHXtKt0bTXRjEds0sOYwtkZmAmgx9BYew75ycZb5/9a9g3vAiQYyGgVPKQDgzroA5LclwJEDID/OAzf5Du+134vEhsp07Z2efSUj0KAWMXHnzZ/kZiHY6I2nWP7AqlpUkLZZLkTR4FSH0u+6b1IYXriki8OLkcYiEDzwcwEA4Ke9pzBvQneEeOW83bNwVzm+2laK5y7ugjNlPDUB4POtYgizkoGdwWAw2itM6JzBYDAY7ZaimmbcvuQgthbWYk+pvPB0oFPbZMW1TnpFncK8O2dECkTvnqQI15Abzmmw+PzFXdyHh8jM2CkKkFPLWgafHMfDRKzgAAyuyEdcs7agNrUOjdKh9RilPEbltEM0eL2Fmng8uutbnF+6XbFME++hUcoL1+DmCNug+bXNb+Hx6rUYULEXkw/94theZ6R0mGq1Birq594Tv6J35SE8svNrkKVzIDx3L+qorI4GIsgbpAD3RimeBz/uZgAAWfMLyEntoZz+5qNrsvDw0FTF7c4GHDuhLYLozpuTIjw1dkppjcOg2rtDS9WjcmIwfUQ6eI7D1HPFEOTUSNv5/Xm0RlJ+wrx9KKn1nRi6QAhG5+Xjq5aMns/JiM3b+fuYmGE1w41HG4PBYLRHmFGKwWAwGO2Ssnoz7lx6CCdrzXh+1XE8vvwoluypUN8xwJiyYD8slGXk0m7R2rwSdLhyc0niADUlMghPXdgZMy8TxaB1DxbljFKtcC0P42w+X0FWs7Ibhyoqg1aFzQFgk4LJjTFEjhRrrez6Jj2eUvT98lCL6p5o0XtjaEgtFq5+FFm1hTi7uRDP7PgMsZRBcVBFvkfHUETB8y+mqRrTt32Ec8t2gvw4FwBQrzUwQOU+cD37AX0HA1YrhEVf62quP0mJDMIFGVGK292JiTvT24saS60JYqXb7OkrgtadiqM8ygprlPVa7v/5MACgySLgtkUHHHpb3mD5gUqX9w+d7dCOPSuqHeKXtxaDwWD4D2aUOo35eFMxcvPy8dU/3vvAMhgMhr94r0Vfg+ZzLw4Y2op7hriKiMujY2BikhorBieY0D2oSbbo1T1jPTq2UjChlsHk88ll6HPqIKZv+9BjdwpeLiOg5NitD98DgJx4m8fPGQnqGdjG9rZpXN06KMl9QZ2n/Owem0HkshPrJet1he8RzzSlFkzsjsmHfsGHf/8PQ0LFATSRub5lwTGO5ZjmGpftraJzhvz6U2Xy67WgQeuKv/YmW7kt60EOetnQ5mXshhfnkDCl34I9Ko7efqRK/j3hb3haDF3uB+O8Su6Z9uDVUtcsIDcvH+Pn7UNpvQWL91Tgh3zvTH5sPuFqgHr692P40uk7tqekQfI3IcDP+05h8wl54zSDwWC0N5hR6jSjySKgrtmKJouAZfsqAdiyq3R08TQGg9Hx+KdIPkvce38XoarBdyEX3uS6udKwvTvPUjFeeAnhweshPHQjSHUlAKkdKJMKDYmT06cBZO1hnIbPiNKYsFuIGS9s/xjdao6DUzEMKH2u5MbZtFFK7tiXn1iv2+fgqQs74+YzE/Douer36qYzE/HNuBwMc+O1AujvjCWWFWDh6kdxx/7FeHLPt471w4u3aK9EoIyIhIBsXgdyYA9I1SlY33gaZMt62d1MBh7jjq5EUuMpGKmrJ5SXioVabsa5pf8CAPpX7IPR08yASli0a1t9/NfLiGmuwYv/fOi+oAaPNS6tK7jzLgYACAu+DOj+08zLuuKWgQku7xWl07Qbo2qaxPDGuubW37eR2Tadtcn9OgEAJvSNl2S51GIrkoYBu9+upY7WMGtLCQ5VNKoXVGFfWYPs+kV7KlBvFu9BWb30e/blP6X4aNNJvLj6uCPLICEEWwtrZbMvMhgMRqDDhM5PIwghGD9vHwDg5RHpkm0bjtfinC7q2Z4YDAYjEJALcbCz/EAllr+3Fkuv7+XHFuknv7QBzU4DiF6+SkfuPHBubvF+OLQXGDBEMlizh7iQ+lpdA25loXP5FO/Oe6sVCg/iUdcsoE9SGIjVCpibwYWI10tuL9sgmyhW263mGDY19AMQodQwF2JCjRjTOx7ErC1FsxZx9NaMlgdzFfjuj8dRbQpDbLMOzwnKKEVOHAFZaPO+4oZcCOzZDmHPdhg+Xeq2ClqbSKhzPXZ6/Ul8te45BAs+SGdt0W54TmiqxOfrX1QvqJB9zxkudwrIpjXAgd3Atg3Amedobos/SQg3YXSveJf1SppShhZj1b8nvavPd8+QZEzq1wnxYTY9u8n9EmC2Eoyb6yo2rgUtzpRybyN6N0Hh3cZz2rwnH/i5AEPTI/HoBWnqhWVotgqooox/caFGVFBJBCbN348lU3oCAA64MYBZBAIDz0kSZdj3C1TMVoJTDRYkyugbMhiM0xPmKXUasadUnJHZcFzqRv/bgUo/t4bBYDA8Z90R8R32wiVdcNOZ6tnqAgmBEDy2/IjL+iCOQFi7HKTUNTTRBT0T4jqMSzzHQdi0FsLUySBNSoMhufA9BaMUvaw0mqTWE6uMCHV8Ij4f0w2fj8lGQrgJwjP3QPi/CSCUIUSuZjWRdY4AQrMPDCY6aZUHR1MjDETQZ5ACAIG6ztTzRmq0i5AbqHsekiM/EI601CNI8Cxjn1s0GgV1oVHbi4uNBzdiNABA+P4rEB1eW4GA0s/QbqzqHO0dYXPxeJzDIOWV+mSPoa0ddpReiUEG5Wfg2Ys6S/7+82gNmiz6PMmKappx34+H8fIfJyTr48OM+GZcjuw+qw+7/03OWCutS8ngFghUN1owbu5e/HfJQeTmBXb4K4PB8B/MKHUa8cRvRx3La45IjVKbC5W9DhgMBiOQqGiw4FfKkN4/ORxje8fjpgFSw9Sagio/t0wZOqSiySLgf2tOyJYz/bkc5Ov3IDx5u3cboDJIoQdrPAeQvI8AAEKTgp6MTH28Ylyd7KJiGVhlBvgmE0KMvDiwLWnJfHZgt1iFXEgP7aWldGxP8eLAr1VtM3uo+UNfZw/PxcABj16QivvOSUZskLq3m1fxhSFIh+A8d/lYICIKOHkCZN1v3m+LD1G6O/aMm364e616RBSN23QZle3KT7zrlqnnpmDJlJ4YmBqBB8+Tav7p0WUlhODOpYdwpKrJJfzcxHOICjbgRqfv2DaFMHU7VkKw3ilrYL3Zy6GyXuTBnwskf3tTOJ7BYLRfmFHqNOHDjdJZd8HJNzney+nHGQwGQ45mq4BGnTPLNIQQPPe7mDbbLjoNAGN6xzmEegFgwc5yj4/jTTafqMX4eXvx24FK3PPDIYyftw8bj4teLRd0FUOnOU+Fk1UH00pDsJbQNmoNx4krRh9bDQAYmu4U3q3DhkG3TNNAVM5TSkNYlVzVPTuJz4e8yHpgeBRwHAditcD61bsQ1q/Ut7NepXY7tFHHY70ngqHpUbgkO0Z6c/1ilNIQvqe3HXqMUqFh4K6eCAAgS2eDNHo35K0t8DjxpY/Q4FipiFr4nuJ+MjvGhIjvnwszoyXhceuOaBfwL29QNqTar/0lWdGOdc/8fhTPrjymsIeNef+6fueOVbZenP6fojpMnr8PuXn5yM3Lx+FTrdfQAlzv3cbjXk6AwGAw2iXMEnGa8Mv+SsnfdBw74GqkYjAYDG9ztKoJ//ejLb322Z0j8PDQVAQb9c2NrD5cLckGFUsJcXMch3O6ROLPllnjgsomEEI0zar7CkIIXlx9HADw3gbXkLy4UKNE38Xjpqq9wlXe8a4hdrY1ucfWYOD/3Ysu0cFOe+j4ZmjxlKIR9Bil5K/d4xekoWuUEYv3VgGwGQtkw/cABIphqn7NbyBrlwNrlwMtQtqaaPDQGGKmjTrabhKxWsEZ6HuhYIjyR/iQWYumlKgppgmNmlKO2oddBvL7D0BJEcjyxeCumaxr/0DD/hvxxy+iNW9lua+GbEY+5zJUEaUQN7m1oTLfqVsHJeKzLSWoarIiNy8fCyf1cHiaHapoxAMtHkH3DElGk0XArpJ6/HVMOcTW/oqOpgxg24vVf9uL97hmApy24igWTnavK1VwqhHv/F2EWwcm4YykMNQ0WTFz7QnsUNATu39ZAXJ7xuI/aplEVahstL3fL8qMwqrD1ciIVc9iymAwOj7MKHUa4C7e3d5da7QERqecwWB0XL6jZnQ3Hq/FvH/LcOOZiZr3r2u24kunUIknhklFZp3fZG//VYT7z0vV3VZv8NU/JVi4233q8PPSIyWZrnRZpehBlaqni8o7njosT7WDA5ApN2iQGdA1GYJkjYD0YFEpFb2kAXKeUgZ9nlKRJUeQNP0p4PInANg8D+QOHdMcGLP0HAcIVac829lTL6dmfd4UwpLZID8vAP/U6/IFaC+jHZs8a5MetIQt8hwg8zgpl9dnJOeMJvBjb4Tw0QyQ5YtBhl0OLiZOVx1tgdLvMMAcpRSRm2jQa9DXYzcNNbk+F6NyYvHZFvF7NHaOvGj7+zKTEXb6JYU5jEC7W3RfvTGJYlBxeSOEYOqyAgDAkyuOui1LsyT/FJbkn5IY4PRiNwYmR9p0y/RqcmnFKhAIBDAZ2stTzWCc3rDwvXbMV/+U4NZFB1DXbOtxWQQCs9X15e4ubW1CuE2fo8Ei4EC5d1xzGQwGQ45DTu7/3++u0CXIOvffMlQ2WpEaGYQFE7tjyZSeLoOr1EipQO+qw9W4c+lBzxutk3VHqvHW+kIcqmhUNUgBQIiRR6cQT8OedIyqlK5zy2qX8D0d8C2VpNXLa4NwCssSKkrFZbmwLA3GAonQ+o9zASKAO7BL3E4d/NGhyRhXsAL9T+131yr3eHEuhwP8411EQxulNFxf8uNcwGqB8N2X9FrHEqfToNNqtBjV5Ayc7vDkHAaeB2T1AJoaQX6Yq3//Nqa3TMZPfz+Kut85VPkLukYiJdKEEdnRkjJy50B/L5RMIXL7yRmlTAYOyR5mj7s8JwZLpvTEi06ZsO08cr5nEym3DbJN8jhndXWGztSnxuLJPVzWjZ2zF8eq9IcIEkJgt0HZvc8sPojUOFnbjLFz9mLc3L24y4/ffwaD4TnMKNUOKa0z472/i7BwdwXK6i2Y/N1+zP+3DNfO2Ytxc/fh3b+LAABHKpuQm5ePxymBc/sHy05Jndj5f+TXAr+0n8FgnF4QQiAQguPVrtmyxszeK/UUUuBoZRN+3GvzJPnv4ESYFDIkXdcnHpd1i5GsK6oxo1bDMTyFEIJnfz+K3Lx8vLquEKsOVztCN+TIu07MsBRk4DDKTJXVMzor0yEQqyZ0Llnm1NtB1fcGvxWXFG3EfXvmyR5Hi9QQWTpb/ENBwJrk7wBxFl5XiDqzi67zlBcRT5U4r3MEJhcsbzeeIT5Bp6eUA/qi0ffb32GyvsiayOnvFnMcB37cLQAAsm45SJF7DaBA44E28iT11uNy2+AkfHh1FsJM6t6U/ZPDxD8U7fSuG+TC9wDg49xszJ/QXVM7aTpHuc9ueH7XKMfy8IwoNyWl9E8Odyx/rSDA7iyw7o7vJnYHx3FYMqUn+iaFSbY5C5ZrgbY/BbV4MPnCKPXt9jLHcmGNljBfBoPR1jCjVDuissGC3Lx83Lb4IH47KM0qlbdDfAGvOFiF3Lx83PfTYZc6Qtzot9i9phgMBsNbVDdZMXr2XoyhZmZH5cRIyjzzu/vwAUIIPt58EgIBzukSgYGpEYplQ4w87jknBRsevkiyfvnBSt1t10JpnRmjZ+/FNg3aHwAw87KuiAgSB088B5g8dJQiJwp0FFYagdldpXTqWlHGnq5cPe7ZuwAJTZVQcx9SDE2hPVrksu8d3gfh9acgfPSKc4XiosxqiffUwT1UCaKw3Da0iewZFf5GNv/pWWMkl87PJ6FF6FwvHnp7cTm9gQHnAIIA4fuvvNwo70PfYvlEN/79TSg9OdHB6iojPLSFvIUaefSjjDaCwjnKvSqNbkLAgo28RPgcAG46MwELJnZHdpy8XtJFmdGy6+XgdYTJdYkWjV3fK3jqPqcinA4AS6b0xJIpPRFETf5MH5GOmZd1dfzdbCW6PJ0BW6ZAOyEOTyldVWiiwSn74A/56l7LDAajbWFGqXbCiepm3LTwQKvryXL6QPZOCEWPluxEJ2vZbAKDwfAuN32/32VdTIh0oKE2oPh+dwV2nqxHkIHDfwZq06ByDuv76p9ShZKeUdVowdjZtkkCd7x/dabk7+7x0newizivHoPAAR2Z+nR4StlW6OgeSLStXDfrFbNX8pQCAOzcAlInLxYs9faye0pRDfr8DXE5sGxSLc+BfxtCTlFZuxq0e08oIfz+Q6vr0HdAH4xmWxGCyI+90bb/9o0g+3Z6sVHeR+JVKPPK8Uf4nrs33UNDU3Fl9xic55z1swVPdIJ6OYUp0udIh/7JnbqyFp4InXRjbO94mAw8ooLlvbciFNa3Fo7jHB5Il3YTz6m0zoz95Q14+JeCVtXfo1MovhjbzfF3ic5xA61fG+KD8L0tJ2qRm5ePTSek34hZW0qwlBmmGIyAhgmdtwPqzVbc/cMhr9SVHReCZy/qjMRwEzq3ZFPKzRMHNjVNVkT66GPJYDBOP5z7m1P6d3IZ8MSFuv8UfbPNZlC6qkcskiLchz3QvH1lJl5afdwRppybl4/cnrFYkm8LA+zRKQQ3DUjEvyX1mNAnXrPArFUguPF7bZMEKU7tdREBd7UGaaoXAMimtZrL6gvf09AMpYGEzHEig8SBfoNZIYwysztweJ9tWcUDhsz7VHY9fS15GaMU5/WRdgBYs1oBmf2xwgYPzyvADTGaaIVRikvpDO6CS0H++AXCgi/BP/Fqm2b+1IpaG00eClq3hmEZURjmJmwtmuqnBuk1erdAP+bBKkYuLVfA2TsHAAanhUvC5R4amoqzOyt7+nqDcWfEY/aOMseER0WDRXXyJDyIR32zku+YFPp7XSdzzu54Zc1xx3Kw0bvhe/vLG/DC6uOK2z/bUoJregZ+EgIG43SFeUoFME0WAQ/9XIBJ8109Dex0ozyfPsnNclvfkJYP4cDUCIdBCgBG9xJf0mYfxHafzlQ12kIuc/PyQfytHMpgtBFNFsHx3Nu5PCcG8yd0x/g+nVwMMc6zmjTrj1Y7lq/oHqurHZmxIXjJSUjWbpACgL1ljXhyxVHM2VGG+1syEWnhtT8LZdc/PbwzhmdGYc74HFzTMxZ3nZ0k64VAw3FS04auQWyIjlTaiu8fV6VzTotVSuId5f7dRut/1TbLD2K4foPFP9x5SgEgxwvoPR1LdIfGvmylPL54H7hHvb3xNby09f1W1xNQtosCFYOrpLEd7LvGt25Sjrt6EhAcYjOwbvlTfYc2QlUyTmHZu23w/KE3GXi8OSoDr13e1a0shVboc5TrBmtpaqNMHNqoHPGb9drlXTEsI0qxvWFOYuoXZ9k8ncb08syQYtfG+mijcva/zNhgDMuIwv9GdvXoPu88qS1s3c6ukgbHcnDLd+FUg/v3vVb+OFztss7ZU3lPqb721jVb8c22Up9lCGQwGCLMUyqAGT9vn9vtX13bDUaOw5QF+zEoNRydwtxrQg1Ok5+duWVgIhbvYW6tvoD2pthd0oAznIQiGYyOyFt/Fbmsu/nMREcYFy9j8MjNy8ebozIcIcaEEJcMQZ7o3iVqzI5U0JIYgiYyiMe317mK2K4/WiNbx+C0CMd79tZBSZqO63wlXML53O07YAjIX6s0ltbhKcVpEDpXHLa6P46iQ4KappTSoan6TJy4ga+0hab92OUCsaiiIc3zYXcXhYyDeuHg/4xnitTJP98O6Hvl74x7vqaV58NFx4K7dAzID3MgLPwa/IAh4IyBp9ep5z2T5GGGOWdIYwPQWA8uJt5lm3NItxac5SicOTMlHLtLG9yWcbRN5ben53rRGHgOb1+RgfJ6C3LiXbMc0jh7UN13TjLuPCtJc/izPbTd3lL7ObmLfkiNDMJDQz0Xuv98awmu6RmrycBopax9PCdqmVU3WWERCIyt9MiTy5AYE2zEkik9Hd/2b7aV4n+XhruUc2ZrYS32lTdiTote74Jd5S66YQwGw7t0sN5Ex2D29lKXwREA/N85yXh5RDr6JYVh3oTuiAkxIiLYgCVTeuKZi7rAoPJCd7fZvo1583iPhbvLJX/7SkOAwQg05Iw2dIdRqf/6wM8FOFTRCACyiRr8TU2zgDfXi15RP+87JXk339A/weO67VmgXEJU9PTLY3TMoNfVgghWkEr5CQhJhjwt9QkKBh6FT8jdZydjaHokhmUoCPzS3lFqAtZEftY6iEryrhqq18afumFdtWfUCjiqRG9DBIWAVJ8C8YXoeFvgBSMbd+loIDoWKC0G+ePX1rfJB+hxUnrywjSvHFP4vwkQHrkFpELU93tlZDqeu7gLYlRCuD1hTO94TD03xSt1tcaTMSM2BIMUJoVpnPvoHMdpNkidlRaBXLtHlVM9+8qkhrmPrhGjKrzhoUln8XbH3H/FhEzzJ/SQTBitKXD1ctKL3LmEtYSOX9E9BoDUU0uJRbvL8fyq4w6DFIPB8A/MKBVgNFsEyYvbznnpkRiRHYMzksLw4oh0Rfff6SO6AACm9OuEvklheO1yMVOGFqFGhjyEEPy09xT2l2ubdQNchZWZwY9xOiDn5v7kMOmghn4V5TgJfz/wcwE+2FCMo1XSdO9vXZHhUi+prwNR8+pw4p4hyZg+ogvmtaTxVhLStbP6cDWsAsG+sgZ8tOmkZNuY3p7rUzx3sa0N8WEmRBoE8MQKg2BFOOfeS0jitRChPYOT8M37EN5+HsIjN4Mc2C1uUHotqTpKUfeZfrfVVMoWvywnBo9ekKYsUCwxSukI5zCLA6IgnpqJbzmxmGbx+YhvpgY+R1qfOKQ1rk0PDk3B3PGiFx4XUK5SKjQ1istlxRAeugnCjMfbrj3exBtGqZBQcNdMAgCQH+eC1LdeRN7bKP0Mg2Q2dI4KlinpOcKcTxzLvRLDcGaK6LlCyk6COAnYD2gx4F/aLUbXcUwGzhEC11r803tuzVEo7byW/387WAVCiMu3NDyo9ROkNwwQJ2RK67S9r+fvFCdqTQZOMiZ5W8a7Wis/7q3AioOV+POIa1/AfowJfTs51tkFz/8trnPIDOTm5WPh7nJsOF6DL2WSoiSGs8AiBsPXsF9ZgDH0zdWSv8ODeMyWCR9Rom9SuMPFdHxf6TY511aGNu798TCOV9s+7J668DK9LsbpAB12PG9Cd1gF4tIJprve9w5JxlQnPadfD1Q6loMNHEZkRyMzVmq8IoIAYapt4Md/sACcSVkAPcTIO/Q+6IGN/bdMez/RZe2MnSMNI7Sj5p3qDp7jENIi9GrggLy1T9uWBw9168QzPDMK8/5t6dybm92UdKLqlMPDhaz62WUzHZ6iRVOKHKWSb9DhXI3aDfcSrNRsu5pRijLeCH+ugOHMcwAAQdSV41uMZjcf+AFv9Z6M6w8tk1QhfPuBY/lqHMcmdMLA8j0A/BOiwXEcQk3UNffTsNcrGMSuI/lxnm2hQFn7sj3BGbzTLeaGjgT5bSlQfBzk14XgxtzglXq9hfO7a0r/TsgvbcCQLjYjvbfto/TkAZeQLFtGWL8S5Iu3wJ0/EtxN/+dY/+zFXVBvFhDhBWMKjZ55Wn/M6XpLT57W7ft6m9TAEh1ikCSekAul18K4M+IdCUimrTiq2i+uV0hw0TshFLtLGxAd4tm9PVjRiE83q4dQ0+GhszafxKzNJ13KuMvQW6LR8MZgMDyHWSkCmKHpkboMUkrc0D8BQzpH4GwN7sMMVw5VNDoMUlqxyhigvJn2lsFQosEstNmzRht3wkw8Qoy87KwsPUPKcxy+m9gdmbHys/HzJnTH7WfJDGIoDxkohKTZkfs90nx9bTdEhxhw++AkPDXc5tU1PNN9eNWj53uuwyFHsGBBsGCRjEyE2R9D+PIdSbnRveIwIDkM9wxJBpr1vZdEXPWUXML31EZhJ0+Iy2GURkeoul6HLLRhSyE8T9xOtZ/y2qE9pbiW8xpWsg2frp+OMUdXS+uoFGft+5IKfLb+BTz575d6W+09qk+plwkU1DS/2jMG7xg+OIMB/LU3AQDIb0tAKgIrFMjg9Pse36cTnrmoi0PXx+tfENpYHZ8I0tQE4mRUJ0u+tf2/7jfJep7jvGKQao1hKfBNxmILT9aK13XhbvHb+M213fDxNdlS/ScvnZicyDvNsr2VjuXvJ/VwLF/V0yYEX9Vo9SiaoFJGJH1Qqu0bNNpDgXglqhs78HuPwQgAmFEqgCiskX6gH/HSoGdcn3g8eWFnt7P6gf/BbRuarQIe+LlA935yqYF/3HsKs3eU4n9rjrNQPoZPOFnbjInz9+HpFUf9fuyCU42Sv2dfl6NYlu4T8xwQZODx6mUZCmWV3k7af0NqJaNDjPj62hxc2SMWfZPC8fW13XC/ghbJosk98NXYbhjaogmUEWMzpnWP15EJzy3i+ZJVP4H8uUKiwRJmMuD5S9JtHl8WD41SMu+fVn0DvOFGoCdkr4HKoERpGdFyzIQ6o/jmatfzo+sQBMQ21zpl59OCWD6Eb907nauvhbVCeaa+rSH0/enQRikvBhD0PxvI6Q2Ym0GW5nmvXi+gNQGE16BC8siS2RAeuRnCo7e4hOr5kz6JtrDAyCDpL7+PTEKa1mQK1Iq3jqA0KRUVYvRqxESXaNE7+eFfCtyW/WW/zeieEx8iETTPpjygF3mQcEnuVP8zMBFLpvTELS3C73bevTITpla4o+0ta1QvxGAwPIaF7wUQtBihv7M8WFte7IdPNSFeJYvf6cR1c91nQFSiQWbWaB0V7z569l68fnkGunltIMtgAJ+2uKRrzTikh7+O1uCVtSfAc8CCiT1cjNw/7hU9Pb4Zl+O2E09vsXtNOWsNvXJpOrq7y1ZEe9PoyhSnTnSLq/+I7GisOFgFwCaUekeLxxYtyvvMRZ3x24EqXJoTo+sYUlRmrpUGbh57SlHIGKh4Tdn3KOj2eTrI1GOUqqe0QyiPuWBePLaF0+FZEdz69/ALPQneLwxxZMDSCwdIrgE5WQhh7qfgr78LXLytTmKVD4HxJdbXpoEfNQ7kOJV4oK7W7+3wG140SnEcB37cLRD+9wjI+pUgI3LBdc7wWv2toUenUNw+OAkpkfL9Pa9Pm9FeUQ2UxlZTIxDaYgTi/ZsMJibUiK+v7YYQI4/PtoghYI+cn4pf9lWiySpIPI18Tas8uah95ZyWaHFzmtaYqN6+ItMR2n6syv23qLTe9m474RR1QGsk1jTpf7/VNLvu0zla3us6PSYYCyb1AMdx2FdrRHFZOc7rEikbnn9B10isddKoyttRirM6ex5xUt1kxQ0LbGHOvRJC8cqlXVX2YDBOL5inVABhFwjuneA+bawveXH18TY7dnvAPjPkLOZc22zFi6uO4XhVEwDRKBUZxCNRIY39Q78UYPOJDty5Z/idTSfEzr63s9e9stYWriUQm8bS6sNVjm1WgeC3g+LfUSqZJqXhe+J6WvC2V0KYe80mq3ajlKeOiXecleRY/s/AJNky8WEmTOzXCXFeyx4lcy5K52duavXR7NdGd/geDW0sETwznJBSHUK3tDGOEqY20QMzPQNcL3iudg8neOfKTAxI8Sx8kXMyAwhP3Qns3ALh8dvElfVt8L3Y+y+Et54Fyf9XXKdHy6y9YfTuXC2X1QPcoKEAIRC+/8qrdbeWK3vEYmCqb2UdyJ7tED6eCSh5AdKTC14QmddLdIjRJcNdTIgRE/t1Qic/T9C605V78LwUl6QgSlhl3mfJSp5xrTCEGXgOd1LfyD0l9bLl6MgA5/ENx3G4sCUDrblldrzJIuBkbTNWHqqSDc+jOUAlH7ooMwoLJvZwU1rkwpwEDMuIVuxjRIUY8dDQVEnESqjGTIhyCIQ4DFIAsKe0AR9sKPa4PgajI8KMUgFEVaOtM58apSzY6w/WHWl9ataOQkyL+CLdGdhX1oCJ8/chb3upQ6tmynf7sbmwDvf8eBi5efn4vx9tBoGaZgHu5hxfXH0cN3/fMQRivQ0hBJ9sKsYCKmMLQxnn7DVHKpuQm5ePZmvrwiNWHarCE8uPuKx/c30Rnv3dFiZIC5PrhTZQCTqMA2TXVu1ldbVIJMjA4/Mx2fh8TLZy1jhvQFctZwzyhqdUpJiFiuzb6bYJugcqtCHKUwPPYc+8UqFg4Exo1KHRpLHN7j2V/BCS3abGoNMk5NxLmlI03NgbbB5YO7eA7Nnu9foDGeGNp0E2r4Pw7YfiynTKa4f+PvnZU4rGIDMaCqSE1RdmRuO1yzMUt9NNFWRi2pQ8l1t7iqO6xzqWH//tKA6UN6K0zoxf9p9y9I/L6kXD0uNOmXgBICvO5tlU1WTFl1tLMH7ePty+5BDe/qsINy10nyX1p32VjuX7z0tt9Xf6oaGpGNY1CrcOTMSwjCic3zXK4U3oqQf6kj0VGDPb1RurNf0mBqMjwoxSAURVi4hedEjbRlV+KpOV4nQlrCX+3i4STwjwyeaTEIgtve3E+ftUvZ3G9o53u/1Uo1VVJPJ05EhlE37aV4lvtpfqMla0FwghsAoEv+6vxPx/WyeCW1pnxspDVbLbPA1BBYCv/inBW38VKXbGthXXI297qcRrSotmA12EnhzXdZuPHNRR2HPiw0x+CGlWuWYKxhBnoWC3Rzj3YvGPKtpgY7/odCY4nUg8pfz8LpM8NBw+XT8d722YiUiLjgGEmrA6AGH5Ygh3jQXZv5vaD/LLvsIb4Zqesn9P2x3bn3jZUwoAuMRUcMNHAQCEBV+2qY6SZrz9zS2nMqTFUyGuhHp3tIGnlJ0LWjQClTzb2xN6upPeNrw99EsBblt8EB9uPOkIiyumhNdNMtY/u4j9moJqWV2prYViH7vJImBtQTXqzdZWT7jJMSwjCg+dnyrxoBqeKU7oHKrQpytV2WjB51ul2QGn9O/UukYyGB0UpikVQFzZIw7De3dBkLlGvbAPSfK3AGYA02Cxdcxoccj95eJHqdlKVEMeR3aLQWWjBQOSw9GrRViTzlIGABPm7cPc8d0RYuT8IqgZ6NQ1WzF1WYHjb0IAcOJ1m3ZhGs7uHNk2jfMCNU1WXL9A6iG37kgN3rkq06P63viz0OO2vPTHcWw8Xou547u7iKDK6Wl8ObYbbqZmL+fvLHeEtQYbOLwxKkP1mFKhcw89pZYvEv9QGeQFvE1TLRuSkoeOHiOFnCsA4Lg4rQnfI/k7qD/a0ihlEzVvbR2yRb77HAAgfPUuDNM/lCuh/7gUHCHq17y59eGaHtPkfZ26gMSbQucU3JXjQdb/Dhw9CLJpLbghF/rkON7Cp69MOnOqtW3D9+z0TgzDu1dmolN4+x8WyYXvKZEa2frIjCADh2ar/DFPNVgcel1KGXZP1ppl19vZV97oCDO9eeEB1LckEro4S8yQ+/Twzrrb7YzShNp5XSIxZ4dt4vCBnwt0af7e9L2rp9eQzpHI226r769jNTi3i60vSwhh/X/GaQ3zlAogUqOCMKxbJ3SNaVvxa5ZhQqSx5eMX0hJLfrxa/0y1kecwqV+CwyClxMT5+zB69l6sLVAfVHX07H2Tv5MabA6fasK7f4vhaS/9cQLl9WbsOimvYRDoOBukAOBIVRPqzfr1eGqbrapu5UoConnbS7HxuG0W8uaF0jbJzUJ+ObYbYkNtWgs0FS3u+a+PylAUGaWhtTPofqBC0iB1/G0I8TZq/VAlnSY92feUrq3dKOXSHh2d41JKG0PhJpIjByB89gZIuZczzFFhiR7Houh5nyqV9cc7uS3D90xtKyvgN3xllIqMBnf5tQAAsugbELP7gXhb49Onmc7eKGjXBvQ16THBCDN5HkLYteXbFx3iWR3eyoho1fAhfXlkOsb2jkNur7hWHy/GTXTHzQsP4PApmzHd/r8zV/eUtiE9OghLpvTE2S2i4nbdKEKIwyAFACsPiX1luYyJegkxyj9/6THqfRo5nL3XXxqRjvkTuju0swDglTUnUG+2IjcvH6Nn78Xbf3k+wchgtHeYUYohi5aP2ulAU8vAXGkWyBe89mchCk4pGwa/2VaK0bP3YuPxtvWo8xXOIvKAzSV8xUHpB/4/iw7iyRVHMWGe5+FpbYFz9hmaSfP3gxACs1VAfmmDpt/hFMqAd8+QZNkySjpxfx0Tn6EQJxFPOuxv1uhsLJ7cA7EtYt7DMqIw9dwUADbPyrqWjqKawLkctKeUxz8zNU8pD6v1HyqDsVMK4Z16srHpMNzpzr4nOY58m4TpD4L8vRrCp696Vq8CXAgtnOtpm/U8Ib4xSpl5o/o1b0ujVIBkjfM5PjJKAQB3yTVATDxQXgKy6kefHccbtKYPSAQryMF85fBii1myTA7vA2msB455NzlHa9H7Npk2PA2X58TgfyP1ZVV7/uIuuKpHLK7pGateWANa7twZiWG46cxEBCl50PqAgQpJIOh+w62DEvHuVTbNsZCWtm06UQdCiMO7SA7n/osn8G7ev55EkDjrfPZJCkOwkXfxCJ80X+zDrTxUjfuXBdbvgMHwF8woxZDlt4OVbd2ENqXBLCA3L98x6a9F8ynMpP3nRLsdyzF1WQEKKeOFQAhy8/KRm5ePBbtswt8v/XFCEmvfUdAbs99oEVDrQSrhtqCiwYK7fzgkWZcYbkK/ZHGWb/TsvZi5rhCPLT+CeTttnTAlz7ijVdKZx77UbOGLl3RxLDsbVa0CwcpDVZI0zrSYv/P1TAg3ubiV20P2aNd7uzaEGoTqNks9pTwcCAW4RsuHV2eha3QwXh6Rrl7Y7JptSPjyHfmyFveZiSSoXFuX/rinTgtq96LoOIT5n0GY+6mHB3CCPi+PDWkeekp50TuqmTept9/Sht41Af4b8xo+0JSywwUHgxs9BQBAfpoPUhe4E0utmYgjyxZAeOVRCO+9JF+AMqYL77wA4eWHIbzymMfHCxSSIoJw19nJSNOZrGhASjj+OzhJk4HIbsBx9sbyxjzyiGyb1+mwru77p848NDQV4SYed5yVhM5RQegWF4Jvru3mUu5qN0a3L8Z2w+uXZ+AaymvK3scAbP2i73b5NumNOzlMC/V7WLZPPYnGrC1Sbd7z0kW5CbV7dfiULUmN2Y+T4QxGIMCMUgwAtjStdErzDzee3mLnE+dLvW+0TCbdOCBBc/1Tz03Fosk9kOhGv+ClP0StKrnMHQDw/KrjLvpU7Z2TdbaBV6wOF/gZa0/4qjle49+TdbiF0mLiOWDJlJ74dHQ27jpL6uFkD6lbsueUw61b7j7bszzaMVCD2vSYYFzQNdJxLJqv/ilxmcXbR2mlTaHCCx92CtWzI6e/oJRe2Rl6LO9x+N6AIdSOgT1gTo0KwjtXZeIMxRAD8cTJxj9cN9fIi9jr8pRSubiud85DA4/avaivBfltCcjvP4AUeCHzqDcMQwFQR5d69W8uOdWGmUiPuM+C1a6hve18kH2Phjv3IiCtK1BfB7JsgU+P1RruOCsJRg6YfOgX3RkDyZI828Luf+QL0Mb0kpZwpROuGV4Zrrw0Mh3nd43ES04THPTElaevojvPSsKzF3XGvefIe1wr0TMhFN9el4Mrusfi/auz8PqoDETJhPSdqeApBQBxoUZ0i5dKlzhrXCrx2AXyfRS9uPOUuooyqG067n4ymBCCH/JFw9WiyT3w6Pmpku1auG1xB37nMhgy+NQotWjRIjzxxBO48cYbcdttt2HmzJkoLJTGyxJCMH/+fNxxxx2YMmUKnnvuORw7dsyXzWLI8PLIdMwand3WzQgIyupdZ6ONMoPtIAOHyf1sWTSy40IQH6ZvhpXnOEm9GU5x63r0qzpSdrqGllAwLdpEdnaWBL621FMrpO+1YRnibGRqVBBiZIxwzh56dc1WHG/xjtpTKj3nUTkxLmLV9k5dRYNtEEAIQcGpRizJd53pq2q04lSDq+fNBRnys6ZynU6t0E+rwUOhcy6U6uAGuFFKFU9/vlY9nlIK18ghdC7eh6DWpNXWI1a/epnnx3Ecjtak8bSS1j8/5GQhhKWzQer0ea/OGJ6MYSe34t78+eqFg9tWb7LDwtEpQH19KAP4a2+2HWrlDyBlgTcBSIpPoFsEh9mrH8e4oyshvPG0dw+g573FkJAeHYxHzk9DF6f+kTceW5OBx8DUCAR7EAonZ9B5/2pp4ha9It5nqOiw2rELhbcWd3NquT3j0L3FaLa1qA4bj9coGpfGU5IS1/fvBJ6TJjDqpDHDY2WjTWvqtkUHmKQK47TAp2kmdu/ejcsuuwzZ2dmwWq2YO3cupk+fjjfeeAMhIbYf95IlS/DTTz/h7rvvRkpKChYuXIjp06fjrbfeQmhoqMoRGN6C4zgYOODqHrH4Ya9twFpvtrZK9LG9IRCCgxWNePgXccbOnuVtiUyaWgCY0LcTxp0RDwPPQSAEI7OjkRMfiuLaZtnMZa7HFJedY+JjQwyobLRg8wlxkPOfgYkY1T0GFfUW3LFUDAMbM3sv3roiA5mxrR+0EELwzMpj2FEsGj2u7BGL565JaXXdWrAbYiKCxOsxvk88UiODsLmwFuuOuIY8+Ot73WgRHBpWb1+RgYxWXO+7z5bORr52eQY+3nQSm04oD2qdBeDtPHBeCoZnRqO0TjSocgB2nrQJhC7cXYGbzkzEo78ekXhEOXPzwgOSzDJPDktTLEt7VgLKmXVoSFMjUFqMRrPYiaQ7grpsq3QoU3sXOvdH2KLiQFA89n8GJqKkzoyMmGAInobC6WgTOUl56/G8Z8ZFbxgkPX2BHNzjWCSzP7ItnCwE99+HNVfRIz4YOXvm2upQE78+clB3Exka6JQo6hlZ/RAi2Wcg0LMfkL8DZEkeuFsf9P0xNSL88j3I918BwaEw+uq9qifs2A3C+t8BAvBDL/FKfe0ZSVRx2zVDQucosU8wtrd+QXW5yWDAJjVAZ8H2VsY63o1VysBzOKdLpKP/9NIfNu/8xy9Iw7lUaN5X/5RIQl/HnRHvUldCuAkvXtIFYSYDHvqlQLVdpfUWjJ2zV1fWP2+xt6wBc3aU4Z+iOse6/zsnGSOyY/zeFkbHx6eeUtOmTcPw4cPRpUsXZGRk4O6770ZZWRkOHbINpgkhWLZsGcaMGYMhQ4YgPT0d99xzD5qamrBu3TpfNo2hwG2DkxzLH51mIXxjZu+VGKQA4OzOto+NRWbQYv9+2UOWeI7Dveek4LKcGM1jTHqGx/l7eKrRipu+P4B3/xYzWw3LiEKQgUdyZBAWT+4hKX//sgJtB3XDykNVGD17r8QgBQA/7VWPofcWVY22kKRoyhMnLtSIi7Ki8cj5ykYSf3iLPbFcfD6mLiuAWSZDHc2e0nqHFpidD67OwpIpPV1mIxPCTXhqeGePBDWHZ0a7rOM4DuGUYa+83uzWIGXnUEUj7I4yGRoMTXbeGJWhWkZ4YSqE5+/DnkPiM+3OZd4dEhHd9u4p5Sk6PA5IpcJvmPrZ5PaKw38HJ9k6+UUeeizruReNLVmVBKvH95ALogzDnKddGs80pYR3XnDdfGCPyzqt1KmEc5Hli/RXyryr1KkXB1yoUBZT9hYcx4EfdwsAgPy9GuRo4Bgbyfdf2Raa3Gd0bRVe0EYj9XUgX7wN8uXbII0+bGs7IVC/gG9fkYEHz0vBTWcm6t7Xud8dGcTjq2u74V4qocsD53lvslTNQXhIlwiXda+sPeHwmCKESCajR/eKUzSY9UsOR7f4EMcY4PmLRQ1QpWZ4u4/bZBGw/mg1TtY2494fD2HCvL149+8ix/lsLazFo78ekRikAODdv4uRm5ePFae59jDD+/hVU6q+3jbQjYiw/bBLSkpQWVmJ/v37O8qYTCb07t0be/fKa+gw/McfBfIZuzoij/3qXs/gghbhxx6dRO89zk2siNZPx+T+nTSWtBFLead4a3bIjtkquOgMtQWLWrzSthfX4f5zUzAsI8ohwAkAPVvuwdB0qcv2wt0VWFNQjWdXHkNVo3fDA6obLcjNy8chp5TG4+a6z/z32ZYSl3VqIqjvXSW6vF+cFYW8cTkYlROjWP6VS+XFsznYBEjt/GeR68BnQEo4FkzsLln3wM8Fjix4ncLcG8i+GtsNvRNC8eplXbUZl0psz9c1FVsdqzTKULlC6ym1I6MUKdgPYeWPIJI2e9jZ1BP6U1Op0CBKi0SwQvj9B5Cjh+SLahlM6vGusNfXGs+JfoNBSu1GTn9k39NQXU21zeOkyn/GfEVCvORx7q16ApFy8T1NNq7xyyG5rtnghlwIABAWfKlZZ8ZXkFPl6p563kKPFp4STdQEi9A+Ep34EhKIrlIAMmJDcKHMpJkWnPtK712dhZgQIzJiQ7BkSk/MHd9ddkLOU9T6MLTnF82JGtsE2SPUOGJASjhuPlNdZ/bxYWmYO747BqSE48VLuuCcLhH4bEw2HpfxUv9kkz5Hgbn/ljkmRXPz8jFmdj72tEhdNFkEjJ+3DzPWFuL2JYdwrKoZjRaCFQerHBmd18pEJdC8+3exxDufwWgtPg3foyGE4KuvvkLPnj2Rnm4bRFVWVgIAoqOlL5Xo6GiUlcnPVpnNZpipDyfHcY4wP28P0v2Nvf1tfR69E0Kxu7QhINriL/LL5Gfa7OefFBmEOeO7I8TI4+t/SrBoTwVuHZSo6fq4KxNsNGgqp7VMa+7XvyXSa7Bock8cr27C//142KF35OvnYd0R0RBaVGPGxdkxuNjJTfip4Z3x97EanJ8Rhb+O1Tgib77ZVuooc+P3B/DZmG5I0Bi7r0RJrRkcB9y6SFlwUiCuAt+ldWYU1TRLXMztqF1D+pk4MyUCkSFG/GdQEn7eXylbvkenMNl3B8dzSFXoRAHAdxN7OLy1nru4C55b6eoZY1RR+I8NM+GVyzLclpGjNyoxKjsK4QYCnpc/huqzLgiOvjdHBOm5O12Ps9IisOlELbLjQtr8nWZ96SEAABcR5RiUWn/6zu0+3CVXy7eb47UbgZrlNeo4iNeJrFsBMvdTlzGNY/vmP9WPQ4j2axwSCtRWt+qekLwPQRrqwU+5ExynPh6TPRY1oFNvi/r5kVmvgezeBrJlPYxPvaHWIJXjtfK96y1PqbYymgQFKT67XiUmDqisgGH6R357R/BjboB1y5/Anu3A7m3g+gz0y3GdISeOQHj2XiBZ2RPZ3TXR3XfVYJRSrYt673FEY/9JS70UvMw3JZBxtJFq6tRzU9AnKaxdtN+ZEJMB8yfaIgIEQlzkRMI0Zvt1Rul5ddZ+csfTwzvjpT+OQyDAPT8cdtn+wiUaMu22YD+P/ikR6J9ic9roFB6EL8aG4u2/irCtxVPp5/2VuGuIe8+w8noztpyoxXsbil22CQR4/Lejqu2pMwuobRYc2f+yYoPx6uUZMBl47Ciuw/sbilBUYxuH/36oCpP6aU/y5Cnv/lWI3w5WYcZlXdErQVlrjBCCk7VmJISbNCfeCXQCxTbgD/xmlPrss89w9OhRvPCCq7u784V2N2O0aNEiLFggurhnZmZixowZSEjw/Y/CXyQn68t84W1uH2bC/d/vAACkpPhHR6gtmbdVPkylb0qU7Pk/kZqC24c3o1OE8oA/LLwWgM3jR+0amgy21K/n5yRhV4nrx83O1zcMRkqyVHR63QOJGPneOjSYrTAZOMexKuubERmi76VcXyRm+9v0yMUAgMagWgCHUdloxcmaRsmzuae4GjuLqjFuQJrXXpYzv5WGvshduxQAPVqcifJuisGkLzfK1mU3JC2/53zEhtlm3A6U1uLXPSdx+9BMmFQMLsXVjbjt2/WqbW4KjkJ2J9Gte/uJKty2aIukTHSIEVWNFtw+NFPjb8p2HVITOyElxeZNNyPXhBOVjbjh7HT8tLMIz/1sK9M5TfSG4msaAdjOOzkpCZEhJlzcvQwr94kGu29vPAtZncIl539lCvDi6uMuYpre/v3bf2nhYWG4ffaDIA31SBq5GnyY7fqZTMcANGk6donJCLvfWlxsLEJkytuf11fGdsLPu4sxskcS4sL1pev2No5rUFWOmJY2H1MJ34nslIBomfM7HhoKUl8ns4crRhDI+SNFR0UioqXuivKTkKvNfi+qmuqh5j8bHxPjuBfmIwdR9r/HEXvHwyiVK1ywH9YHrochoRXfvIaWUOMlsxF1/R2oVCluPxf6rR8aHIx6p+3O2MsbeINsHXaMISGw7N5m+6Ngv+pzLNTXQS13aHJyMkhtjWo5OQxWCxwmAIPBYy8VjpA2ccDgQ0Ih+MEo1SVvuc+P4UJKCiqvnoiaRd/CsPgbJF18OTgfZ/+To+r3pbbfdbHyE6blW2B/36oF/nKCVfVZUjueBVbY/bqTOsXDEOuq3SNi+1YGh4To+qZFnxQAFGtqT9sg9pfuGNYdKSk23SaD8Sjs39Hrz+/VFg1rF9if19iwAzhVb8aF3ZNU7/M3N0ZgX0kNru6Tgtf/LEK9Wf596o3nJQXAp9npOOvVlY51kXEJiAg24rf8k6iob8aEgWLY3+NL/sXv+2S/tJq478JsvPOHrS8y5bt9uCDb1vecdHYm0jvb+pkpKcBlZ3bD+W+uRpNFQOeEOJ//NqwCwW8t+o2P/XrEMT5xRiAEQ15b5fhbqVx7pa1tA/7AL0apzz//HFu2bMHzzz+P+HjxwxETEwPA5jEVGyum26yurnbxnrIzZswYXHXVVY6/7YPh0tJSWLwknthWcByH5ORkFBcXt6krd6hF7ADuLziOiOCOLXb+2u+iePTS620f8JomK8JMPIqKlMPZitx4ttbVikM7d3UANo2h7UV1uCg9GJ+ul9fcvaZnHGJIHYqKXIeMH12ThZu+3w+zlaCwsBAFlU14YNlhDE6LwFPDu7hWJsM1lDHo0m4xjjaXV4rhald9tB63DkrCGYmhMPIc7vvJZkAzmusRE2JE904hKKppxl2UAHt4EI93rszy2GNJ7dqFA0iLDHK4T8tx6fvrMGt0N1Q2WvBwi6jklxuOOO61Ej/kqwvVA8DSLYcwkZopeniha0jfF2O7oa7ZiugQo+o5ATYB/YMVjcgKbXaU7xUJ9Io0oaioCAPjgbzrurs8o2WUK3XxyZOoDTJgfM8oiVEqSqhFWYmrmPrCST3w9l9FWHmoCgDwzpWZmtrqCfUNDSAtxoTiTX+D634GAMBChYepHdvaKHqhlZeWgqfKy71Lh6UY0VRdjqIAiUqura1Fg8brW1NdjXqqLDmwB6TqFIiOb55FQXelqrYWlf97AoiOBRrky9jvhVCjfvHKy8oc98Jy9wQAQOlT97jdx1rqOqurF4EQVG3doFpO7rlqoM5b9bmzWt2Wcb4javWRRvXMoSfefgnkt8VAXAJQoW/QIaRlAOUt+/CeG6VIc5N6IR8gGFrn7aoVX73r1CAXXgH8ugjmggMoXDQb/NARfm+DtdZ9mA7g/vro7buSutYdDwBIoWhAO1lcBK5R3XCZGem+T+dMVVWV5va0JTedmYjOQU2ONlrM4lsokNvdVjg/r69d1hVbC2sxPDNU9XpFAzirE4fi4mJ8nJuFGxa4Jp95Yliaz677Re+sweujMvDkzwUAbOOXzNhgvDgiXdYg9XFuNt7+qxC7S+S/7TQjugThe6o/vfagLWKpsbYaRUXSieez0sKx7kgNqqqqUFTkuzGiVSAYMztfsk7p2k6ZL+17b8ov0JXFO1AJFNtAazAajZqch3xqlCKE4PPPP8fGjRvx3HPPITFRKnSXmJiImJgY7NixA5mZNtcHi8WC3bt3Y8qUKbJ1mkwmmEzynZT2erOcIYS06bkkhYuPxdHKRvRSSMu64mClQ4T7q2u7IaYVKeLbiooG6RDCft3tmd88vQ/pMaI3hlodieEmjOwWAwCYM747zFaCWxYegJmyTt06KFGxHiP1rbAKBEv2lEMgwMbjtZra//4G6Qv+SGWTY78Gp1mgz7a4xrS//Mdxl3V26poF3LroAD66Jgspke49VApOuYa6aWm/O4OUndsWu4bf5ZfWSzTCnAlWU71sYfaOMlx7RjwMHDB6tqsW3tjecTBwQFSwQfPzNLmfqDWmtI/cM0r7MtjfIymR4vvSxHNu2zChT7zDKNU1Jthn7yFi9yRpaadcaJDasQmtIyJYZcu39bvULXra5nR+1lce1X88BQMWOVkIsu43AAB30ZXyZexCrlqMYILQNte8rkaTHpBQUgRyUNrJpZ8lTYNqd2V46XdQ/TnWcLzfFtsWdBqkAACdxOQlnkpu+Z2kNOBki9GhUtvkAADAYNQl/o+u3YAjB4DouLZ7T4RHgLtiPMiCLyAs+hYYfD64ID8PpDScutbfhbeuo1I95MgBoPIUECtmcyNWq9vw0g+uzsK2ojpc2i1GV/ucv6eBRkQQj9pmAUPTI5zaF9jtDhTsz2unMCMubemD67leUcEGxYx4vrzuX/0j1So9fKoJ18tkZra3TSkm4KoesfiRSmJECMG7V2Vi7BzXfqzS+Qg+7mP9dcx1Iqyu2eISymm2Cqhplo5Xaprk+4XtlYDuz3oJnwqdf/bZZ1i7di2mTp2K0NBQVFZWorKyEs0trtgcx+GKK67AokWLsHHjRhw9ehTvv/8+goODcf755/uyaQw3cByHoJYB+fFq1wH/6+sKkZuXL8kKd9P3ypo7gcqhikbcslBs99PDO3ut7osyo/GfgYl47fKuuvYLMfKIDDZIDFJq0CF6fx+rwakG7TPhO0/WY/mBKsk6E/VWaLR4R0D6zqWHUKRiPJrqlD0wzKTt9XRJlmdCl3JZRezM2nxSNiZfiZJaM25eKP0NTOrbCUum9PQo64xXoB4hu1C8Wqaa5MggzBqdjXkTurstp6sZB3bD+uazIIWUlkE4lcXG09BPWig8wIXOSW01hE1rpRkD9QRDeeP8lETK6dAoNR2vLplutwMI+HshPHk7yGdOOk8qWTQlqHUK2yD8ygUqCyE3dATQsx+4qya2Ijuhn6F1sDK6ad8vSF9oLn/vNHCjrwf/9Ju69vM23MVXAvGJQGU5yO8/+L8BzepZWQMFYfqDEN57EeR4gbiy8JjtG7Nvl+w+aVFBuLJHLEwaJ5rsDE6LgJHnHMlVAo3PxnTDZ2OykRQhfe5DjO3kd87wCOfs2HJ0pkTilb5Y/ZJcHQ4MPIdnL5KOhQpl+u7+mt+YubbQZV1JrWtfpqTOdTIixNheZmEYdnz65lq+fDnq6+vx3HPP4fbbb3f8W79e1GnJzc3FFVdcgVmzZuGJJ55ARUUFpk2b5hAvZ7QNA1PDAQCbC6VhPhaBYM2RAIl/aSUPtLi/2hmc5pru1VMMPIfcXnHIiffsOb7/XNF48PJI94KJRsooNXNdoaKhRY5pK1xFD2lx62ar+DnL7hSuud4nL3QVTHXnUeVMl+ggSYpcd9x3bgqeoQyKs0ZnY8mUnriqR6ybvWw8t/IYcvPycbxaDE35YEMxfqBmj2iUDGCv/VmIykapMfAKDcf3Nkqf4HuGJOPT3GwM7RqlUEIkIdzk1U6tMONxYPc/EN542rGO80aISjsySglvPA3yyatiunUnuKGXqFTgQ6MU3WWVM0qF0b97DZ080g4zYenK3qVilFLw5PYr4dQ9C4+A4aHp4HMno924SoVQRik9XkMmnXpx0XHgrxwPLtr/72oazhQEbvT1AADy8wIQDWGy3oQsX+y+gCkI5N/Nilk524STooe38PZztm/Mq08AAEhLqDLZuxPW96aDlBRB2PAHhI9mgDQ1gezfDbJvp+ohOoWZ8OnobLxwiba+iL8JMfKyGXKnnpuCrtHBeJjKvstov3QK0x+FYqC+5UrzKDzH4aUR6bg8JwZzxuc41g9MjZB4gDlrjQKidE5Vo+++90peQU1W6fp6sxV3/yC+m+zd147tU9Qx8Wm81fz581XLcByH8ePHY/z48b5sCkMnJ1o8pP4+JjVKVTUqu8ZXNVoQ3U5C+GqbpC/S6ADTzRqeGYWc+BAkRwZJjE5yeGo/EKgXfnKECcUtsw9B1GxiZqw4IJh7yxAUFRWBEILcPDH8ZfHkHmiwCKhpsuKDjSfRYLZiSOdIx0fNXvZolbKnFP3Re3xYGs7tEqnrXAalRbi4UV93RrzENdlOQpgRpfXS5/i5349h1phusAgEvx6odNnn6eGdER1iQFZsCM5Lj8Qnm0/i3iHJePp3m6TrwQpxpvmybjG4pmcsotrgmYoLNWJwajgMPIfwIPHB4DkOiRFtPFiuotzEt1HaPxo8pYTZH4GsWgZ+xufg4lpCG9uRUQrHbPprZNNacR3dYwpRziYDwDvn16A+uyqLQXynCz/MUS+vw8szYNBzfdVOz6DzG+gLd/yQMMCuExREGXjaiU0KwdRkjlHleoZHAnaNIqOOdxzHB1Q2I+7sYbYwzaOHQH6aB27if9u6SSLmZgjv2JIUGT5dqliMmM0gPrymkvBhhcOQ7RshvDcd3NgbbV5nVacg8Dzwz9+2AildQH6cCwDg350HLsT9xGFcaPvo09J0jg7GO1dp8GpltAs+uDoLlY0W3L5EahR+4LwUzNlR5ui70/RIEN/7VoVPDMcBfZLC0EfGY4pG7pNe3OI99d2uclQ3WXH3EO+LcDufV1ZsMA6dapKM3zYer8FLf0gTNESHGFFeb9HlAM0IDJiPJ0MWe7iPM+uOSAUq3786U3FbIPPVNmlMdqBlDuU4Dp2jg1UNUvayerGJB4px4+9SHRj6mPFhJnx0TRa+vS5Hsv8kSvOI4ziEmQxIirB5N828LENSdnQvUfth1mZXTSqzVUBZvfjx6RbnnRTmMaFGyXPcNcZmYBvT2zVLT0asTT/pWplY+neuzMTgtAjkxIfCwHMYnBaBT3Kz0S9Z3nPsrrOT2kxckeM4PH1RFzx5YeeAGnC5QGd50tBOsmoZAEB47D/USqqnFOhGKTtKBgg18Wldnjw6ISqeUjxlXD1xREN97eRe0Hjz+tJGFAUjCWlugvX5+yCsWOLF41LHotsQTL2LAvmdQMHR4Xu8inGfPlc9oZN8YHV/OZ4HP+4WAABZ/TNISfsSqLZWnYJ16kSH8con0N6eZvlJLuHLtwEAZOHX4kTIIeq7Xk71QdpR2CLj9CXYyCMpIsglAmF4ZjQ+zs2WrHv3ykyM7xOPWwaKshG0x9FFmaK3vNrwwi6hMSjVta+7r1z87fx6oBJ/Hm2dd2e92erikVVBTR7Pn9DdkXSL1o56+y/X96TdS8zawfWXOiKB9VVmBAxZsWKnsKimGbl5+cjNy8fnW0VjzpIpPdE5SuzwNlqEdiPE5qyjFNAD+Faw4mCl7Pr1R6UGxCAqZM/5SqREBiEqWDpbmKYiWk5TS31Afth7ChaBwGwl+OtYDa6dsxfj5u6TzAB5mqlPDtrA9eplXTHj0q4Y1T3GpdymE3UuIuULJnbHkik9HcYsOXLiXQ1oHfVZ8iq0GDF1vbrqMebRhoT2aAihURNn9qXRTdXzR183gbQXAyGNhxnpZKE9pSLkPT6F16YBxwtA5n0GrwUZhFKz3bSnER3S1l7eTbRRirqe3G0PAfGJ4B+fKW6nnzc9XmoBZpQCAK5Xf6DPQMBqAVn8bVs3Rxal/l39qp9t+nS7//HdwSmjFFmh4LEl9wzQyUDoTINHD3urZQyGzzlbQWLErof70NBUpMcEY0r/BIkQOD1Jes8QURqEV/kefJKbjTdGZaC3QrIrmplrC/HvSe3SITS5efmYNH8/xs7ZiyZKx7a0ZbI6PsyIYCOPiCDbOdU1i2Vqm6X9jbvPTnYY24R2MBZlSAm8rzIjIOhLuXPeudS9jsCl3WzeKL8drMTo2Xsxaf5+vxqmTtY2Y0+ph6EpLWjxSGqPvPt3sUQvyc5rf7qKB9rRMm7R87K/dZBU6HvTiVp8v7scr6w5AYvTzEifRO9qyV3aEkr39PDOCDby6JkQCp7jHC75o3JiFPc1aRiMO7v2fzlWhyjv6Ux1pbhMDQ5vG5yEK7rHSBIEECUtJGow2i4NIRJPLzVPKQGkuQlk5xaQxta962Qa4n6z3nC0trwXnoqMK+ptyaD27qM9d5SExQ9TqauPHNR+bHeEiQMWLkXUwJEayQPsO6dkGKJDqqj3MD/kQhhemQVk9RC3N1PfNz39jgA0SgEAf+1NAMeBbFoLcnif+g4KkKOHIHz9HkhluWS98NN8CC2ep55VrCRQ44frSYfvKb1n5Dow9Lp/NzsWyXFmlGK0H5QmPAe3yFcMy5DXDP3PwERc0T0Gr17WVSL2r9bXjww2IFtH5MJTK45hb1mDarmbFx5Abl4+9pTUS6RAAGD8vH2O8YXdUyq9xagWGST1lJLTurosJ8aR/Kk9dgtPdwLzq8xoc/R4ezRZbC+Gohpbx77BImD07L3YU+LdwVNpnRm5efl4a73UoHL7kkN4fPlRbHUSZVeiwSy+qYamRyLcxKtmJWvPzNtR7nb7YBnXXDX0yMaEmQx4iBLcfGXNCczZUSZbdmeJ+gdNDwaew62DklxE7L8Y2w2LJ/fAxQrC5e9cqU2PYQwVmhhi5BHbDvUn2hxq4B4ZbMAdZyUjJz4UZN9OWB++GWTTOvn92pOmlB2lNOd//u5+P0EA+eJtCG8/D+H5qT5omBtoQ09XDUbXtvRaC9X/LgMgHeyq4v7lx9FGPC2hqRoElzVBC9J3PwPcmBtsnkWe4um11IPS9aE8pTgZo6ikf9JEhWCdpMOC1bq3AWaga4HrnAnu3IsBAMKCLzye4BNevB9k7XIIn7/lWEdKi0EWfwsy+yObV/v+3SD1Or0brFZYZz4O6zsvQPh7le0dfXifU2bR1iN73lqMx3Jej0rGalMwhAVfglCGKgYjkPFkAt3er+rekkVySOcIdI4KQu8EdQ8ovTz66xFHZI0cdy09hFMNtu/t47+5JloCxGx/DS1eUymRtugJu06qPfpirIzcBgDY7W4sfK/9wYxSDEVuGJCgqZxS1ro8BcODVg5VNKKu5eWz6Xgtbltsm1Fedbja8VL6dlupo/zSfPmMac5MnC/OPt55VhK+vS5Hk3tqe6WySTrgcu7sPXS+NEOLlk/ekC4RiAw24OzO2jIWKs3gOONtTyl3cByHZBnx76HpkW5D9mhiKCOU/cPJUEBxkCjfcRDefAaoqgD5XCFdO2mHRikJOjpMRADZ3GKcK3PVZZMlWOMMp1rHjbpv3DkXqtfXlvfCU20otfBJPRj1GaW8dmxJ+F4I+CuuAz/E6X7pCd9L8kPmLvrZi6c8amlPKTVNqSCFUPIQlec/gEN+udwptrDLfbuAHZtaV9nxAnGZSnZA/loJYebjEP73sL76io8D+3cD/24G+exNoKoC1o9noOrzd1rXTmfk3iNajFJy91XhFUf27QT5daGLDhaxWkEO5kuF1RmMAEDOO0gvTwxLw7tXZUq8pjzFwAHTR8hnp6xrdv0e2w1OztBi6xtaEmzZs3/b5UXsnlK1TVbsPOnq9DA03RYubw9LbI85V0532LQ+Q5FresbiG8roo8RZCkapPq0w9GwrqsOzK48pbj98qhF9k8Lx3S7RC6hHJ/VBmLNraWSwocNrAJU4ZbCooTJXXNkjVhJ7DgCcBrNUmMmAL8d2g55v2odXZ+GuH9yHgk7qp80Q6i2iQowYnhmF1YdFkcZHztc+GKMzFR4+5RomyaCIihaFZ+MTgfIWfTqlnoPcjHcMJVLfHj2lPNUP0np+BoN43YJDpF4kniIJM9TQ/ra8F3q9PuxQzxohxP03gQCk7KTUCERDC45rCGkihcrfOVWCgh3ha1xouOPp4oIUjOo63tdc12yQgv2et00L9LNCt1mp/XI0K3joBIe4zzgZwO8MLq4TuBHXgPy8AML3X4HvMwicp6GpNZR+JmWwIV/YBMElSSe0UC/jkV5W4rqutQhWVw8nLUYpuXcUbSjulCQa9g/ucawmB/MhvPIoEBYBbvgokGXfgRs+CtyUu3Q3ncHwFaO6x2DZvkrFcZcWOE5LL18bBp5D36RwfHRNlovUy+Tv9sPIA3aZKFqWgeatKzKQGRvi8K6y96ubW9Ln2f+2C52vOlyNVYelwupPDEtD/5bkQ3Zj29oj1egcHYROYa2bMLa366y0cDw1XN4Ax/AOzFOKoUiQjKbOsK6uHi+hJl7Ww0VJkudoZRO+2VaK2mYrTtY2o7zejIW7yjFj7QlUNVpgFYhbgxRgi112dg+d+6/7MDXA5lpK09ENUoBrWtUaShjw9sFJrjtovCRGntN1/TqFu9rAz+1ii4W3ExXsYce7FTxwnpOnmI5zigkRzylR5vwYFPQgkA71UPRYkLkPShn3fJmdzps4jZeE9SshrPsNSFHp6GgdQNPeUSqpzrWjQ/sK0Kfr4w6FzHU+wapDNL+qAsIT/4Vw/xQgrpPLZrJLp9CzVs83Oeh7TIfvKRnDdAi6c30He9goD5Fk0aOWPf1tB6s8/wEe2sFdfq1NKL/oGMifK7xTqRcMccIPc73QEA3IeRCaNXguyRnNaOj7XieWFd590bE/Wfadrejqn9WP5wUIISBHDoKYdWjbMU5L/jMwEc8M74yHdUye+gK7Z5M9w3VKZBDG9IpzibChdMvx8C/y2XszWxJr2Q1twUbb98vuKRXcMpiMCFI2WZzTJRKhLdkC7TIaKw5W4dZFBzFzrT7D++6Senyy+SRqm60SWZhNJ+qwZE+FS3lCiCNkMTcvHxuOt59M9IEGG0Ux3JIaGaTobknz4oh0WAWbhfqDDcX49UClYp/v/36yiUsu2OVqRHLOCqcXuVnuBrOAykYLjlSe3p4sG47X4OONJ1WNTr4y0wUZeGTHheBghei9ceMAW8jG5H6dUNloQZdo7Vn9vMlTF3bG9D+Oo1+yPu8+A8/hgfNSsPpwtS4Pq9MFQg+CTZSRge58K70oOLg6FtVWi79xeoAVwKE4ijQ1gnzxlm25k4xxmEKzkHtIqOgtpNUoRV9/uXtBex5o8lTw0r0IDZN6efgSegCsx1ZRIROiXkF5FwsCSOFRIKWLsrH7hHxHXRMhoWLSANqIp3Qsd55DzkTHetwsWaJipAkOnKENUbSHjI52cNdMBlk627UOOQLYUwoAuLBwcFdNBJn7KcjS2SBDLgSnMSSX2D1SnfGG0aPgQOvr0IJVJXwvLFy7Z6RSGB71vuN69gPZ8qeOBnoPsnoZyOyPgb6DYbjvmTZpA6N9YDLwGNQKLylv8eSwNOworsegNHEy5OaBtv68lggbOUJbjFHLD1Ti0m4xDqOU3fOp0aLt47zPKSLmT53jyidatK72lTVgf7nU2/zzrSW4onssTAYOi/eU44utpTi/qzTL7st/nMCiyT1UsxsyXGFGKYZbnr2oM+6gXDKjQ+Q7ejzHOaQf7L9DAcDHm4pxsKIJ00d0QZCBR725dR4NcuNUmpI6M5IipIYNWkOqo5IRE4wCJ6Pbpd2isfyAbVBXVNOMl//Q6abvA94YlSHxcEuNst2rCX1dPQ78yVmdIzBnfI7jo6iH4ZnRGJ4pL5h+OkNKi4FI6rrQmlISTyklo5TMB91qsQ2sw8K9Hr5HGuohvDYN3MBzwV85vtX1yR+EOlc6tE7NW0azpxRliCo6rr1dbqHSqS+ZrV68uQmkohRcXCtDcUNC28go5UUPmvISCM/eCwDgP1gAzuRlo7tEe4n6faXJh0noqzvM5r3kLV0dtXOntY8IAf/ka7bQxOTOIKt+AvqdrbgrN/kO4NhhcEOGiUapQnkRXfEYgW2UAgDuwstBfv8BKC0G+W0xuKsmatuRvpY03tAva/JuMhJF5NpKG6WadUwy0vtJfutUOKMOL0JvQ2Z/bFtgguuMdkJ4kAHnpkfKbhvSOQIbjit7LAYZOEzo2wn5pQ3I7SVOOqw5YgvJsxuC1hTY/q5ukRzppjETYGWjvt9yeb0Z4UEGhBh5lNeL7wpng5SdcXOlAuvrjrgavb7bWd7m45r2CAvfY7iFFnLOjA3GxL6dcFZaBB514xViH0o2WwQs21eJvWUN2HmyHl9uLcGk+Z5rVMyf0B0zLpN2tp2NZM6ulXJCewBwXnok7jzLvXdCe+J+Knvge1dlYuq5KbihvzgodI71doevbfvfjstB74RQvDwy3cdH0keYqePri/kLYc2vEJ68HQItUk5fW4sGTymlJ7G2RUvAy0LnZOWPwNGDIIu/bXVdbo4iLsp5AiihNYSJ1jmiDX/uMpGpGWFqqyH8NB+kXNvsJ5n/GYTHbgXZuVVTeUWUNJt8gWRA6puwLrJxjfcrdTL08I++Av6+Z5UNgulZ2uuOTwA//SPX9Z6GhaoZpWIpvbiiY+Ayu4Pr0RdcdCz4d+aCv/MxxV35i64Ef+O9/g359AOc0QRuzI0AAPLLIpBqbclclDzlhJ8XyJePDMBJFbl3Hm0g1WMspX/fSl663kx2oAEiWCH8ugjkcMefNGWcXkzpL/3+DHdKdPTdxB4Yd0Y8nhreGX2T5LO80tq39qiadI0JiJyPlxCm7H9zsrYZ/1l0EBPm7QMhBF9sFfXx+uuMnACAyJYQw7+OsRA+T2BGKYZbgg2cQ+dn5mVdERFswFPDO2OojLaUHXt/6Hi1OCjaU9qARTKxuO54Y1SGJP1psJFHhtNL6aux0hTlP+2rlPz9wcZil3pvGJCAxy5Iw6juXg5PaEPovlVyRBAuzopGVIh7R8gFE3v4uFXyRAYb8L9Lu+KMDpzx8HSHLMmzLfzzN7VSKQWSm/A9OezeM5QhiiydA+t700Faoy3lj0xLdKRcSaH2/bQa3WhDDq0JFCE/o6mJ+jqQxd/aRIB1ILz9nOfHBGyeOv5CoinlI60hX+jFSLSXBHA5vcH1HaRcXs0wlJRm+79Xf3CmIHDxieDG3Swto5YNTwk1gz9lOCU7pB4jnClI24QBrUvlDW+xAIAbPBTIyAGaGkA06zkpPMNKHpn+8kjUA518oK4WpL5OW/iwbF3Uu5021tMh5Z7W7SHkr9UgC76A8LLO7IcMRoCTHh3kyGw97ox43HNOsmNbqpss1Q8NFZ0dXlkjenq7MyoBwL1DkiV/x4ZKy5fWW1ySXAGA2Upw+xJxwn707L1YS3k9bS8Ww90/uiYLk/q593y6fXCSI4SRJT7yDGaUYriF4zjMGp2NeRO6ywqfK+0DiCJ1ADB/p7wI+dtXZOCja7Lw+ZhszJ/Q3bG+T1IYsuNCcE/Ly2bcGbZZ1GAqvOqra7u57ajWNlll3SrT20i3yF/Ql8R5xoBGMR0scxZitBY57RilmWgnIwCpqbZpKCl599S2/KZpT6m6GmD7RqBV3jl+Fj7Wk9lMo1GKCxO1JrhYqgOl1evInUGmUj2RhFfxp6eUlnDSVuODemndJA3tljwTcqR0Af/mt+Dvf07cZ8hwaRkNGQVlKVLLMkjr+/T17BjUx4s781wP6wgsOI4DP+4WAABZ8ytIsYawXIX3BX/tTd5smm+prwNpagSxmCHcPxnC1EkgekL2aOgJB9o43L0PVcbPRqkdG8U/mIc2owPBcRw+zs3Gkik9ccOABAQZeEfo3WuXZyjuN4war+wsEY1IiRGiIeuWgaIXVt64HCyc1AMju8VI6pH7EjonuQJcw/DcER9mxEQ34Xizr8vBlT1iHRkAAcCsxxueAYBpSjE0EKxTZ8deusmi/IOkM67RLJrcAxUNFkcKz4uzotE3KQydKEv5vAnd0Wwlipna7vnhEFKjgrBRIaY5IbxjufgD0pcw3b0xKhmeGAx/oyg2S3k8FeyH8NJDQO8Bih11Ultle8blBl5tqAviUzwJ36PDrNx6HakIndPEJUiFvH0IFxrm2rns2g044gOhZYlRyvvVA9CngaMViYFIg1Fqwq0g1ZXghl8B8slM1wIGHlyE00SGs7i2NwbQpiDxmscnAuUl4Hr1Bykpsh3ijDM9qzeI8qSmr403tbHaAK5HH6D/2cD2jRAWfg3D3U+630HJiB3gGQdphBemAkYT+Jc+FlfaQ7f1oqAjpSUckJQUgfy7BdywS72iCSdsWgfOaAT27KAO4tl9IeZmkDXLwfUdBC4xRX0HBqONeH1Uhsf70oLhI7Jj8MVWWx8kQmEMKPjgPWfiXb97V/eIxQ97T+GWgQkID7K1hR6r/nuyHgNT216Uvj3BjFIMr2N/f9CeUlrhOc5hkLLjbEQKMfJwF5l2vLpZEjrojJIxqz1Dv4Ppd+cNAxKw4qDNNX9Mrzj0SgzFdzvL8fzFyinomRmL4ROUDEbUw+tIwb17m3I99oGJzMCL1FR6/vwG8oBN64A6nOoA0caEYG1aDKpk5mg3SqV1bV1mOcrAwD8+E2T/LnB9BkF4/j7P69SCkwA2aWoC54XrR5YtAC4d0+p6JNChdIIGo1RMPAyPvGxrT9cskC1/AaGhIHk27ShOLjTP+dy9EepF/Uj5+58H2boe3CXXgBs6AuRgPjDgHM/qpZ952ousHRuk7PDX3gRhx2bgn79BDuwG1623cmEFAygJ5HecHBYzUEZJMHhbnD6fMgwphNcKz9xjM2pVnwI35gaPD0WamoC6apBPZnrN7k1+XgDyw1yQ+TwMHy/2Uq0MRmAxulecYzkiyICvxnZTjvSAcleu0SIgyMDhuZXHcG4XUdLgzrOS8NEm5WQzY3vHyUbl3DooEVf2iHWEKgKQlHt+1XFFBwyGPCx8j+F17FbtpgBxXRyQHIbEcNGKFRfa8WyxhA59oF6KMSFGfHNtN8wZn4ObByZiSOdIvHZ5hsOqLwfzJGf4BKtCeITegZKMppSjqvmf62yUv/FwOGJWNrJLaKIGozFiR07iQeLSJB1t0lO2sZVZumhPl/Qs8Jdf66eQPvEcheWLIdx7HcjW9a2vts4HwqeS8D1931suMRX8qGsBKuRTUp+9nF4NKaXwvl796VrFpeQ08FdcBy44GFxmd/AjrgGnJUSwa4ueZLdeYl30x6uG8qppjaZagMCldAF3wUgAgLDgS/cGJqXQZy8khPA3wquiVxhZ+5vvDqQUXt6ynuz91+OqhTmfQLj3OghfvedxHTTk8D6Q3f+A7N/dcoDAv6/EbAbxc4gko/0za3Q2BqdJvY1iQo1uxzD0ryHcJL4L/zpag083n8T24nqJEerynBiXOpZM6Yl+yWE4v2skbjoz0bH+qh6iFjHHcUiJdK93+KGMrjFDGWaUYngdexxtRUNgzE4+f0k6PromGyOzo/HKyPTTLsNaVIgRYSY9A4vT6/ow/IRi+B41uNLy23TjKYUm+RS+mgjk94K78woXB9zkwG7wr38F/o1vwCVRGVLdGKVIEa1Ro2J00mOUKi9RL+MMPZimPX/sWdU8FdnWAx3N+J3NyCl8/nbr6+0zsPV1OENfj1Rl71d3cLRYupIxgzJW8Q/bPK24i66QL6s0QKbrDpPPuKQH/t6nwI2+Hvxdj0sPc+5FQPc+4C68XFxZ6wODYBvAXT3J9ls+mA/885dyQdpjrKuYDIZsWuvD1vmBwqO+q9uH2ffIyh9tC7v/8Up9wssPQ3jzWaBelKggtdUgW/4E8UVChVZCBCuEx2+F8Oh/WpeMhNHhefyCNMnfnsit0Ab7mVTG9nqzLSO8MxzH4TInXSoAePGSdDxyvrQ91/dPwA39E/D+1ZmKx184SUwi9ct+1+MxlGFGKYbXsWfAq2uW75yGGL07+BtDuXY6Y3edNPAc7j0nBb06aMY3b3rlB/DQnNGeUdQ50TfLS+weEN4O5Qjk0BZ34saRogYQ138IuKhYcJHRtoH5dbeAv+9ZcM66QDS0B4DaJfD1NaJ1sLLFjp1jIsFTkW09yD1XXngpcl2UO7Ee18lx4J94FdzVk8ANv9KzSuiMdTKeUrYylJZOTi8YPl3qKoCuA/7ep4DkzuDvmeZxHVxMHPgrx4OLkmbR5f/zgC1EMSFZYc/2CxcTB64lBFT4/msQJUM/PfAnAgghIFarLRkEQ552EuIpMerUiUYp4dUnIXw0A+SHOW3QKhXq6mzJT2qqpB6MDIYT56ZHYlCqbdJi7vjuKqXlobspnaPFCblPNiuH6E3ur5IEpIVQE49xfeLROUp5os/AcxJtKYZ22FVj+I1PcrOwbF8lRnaL9mq9N56ZgIuzovFPUR0+3yrOzp/b5fQRmAtkJw8Gwy0EtsGV0oDYGXeeUh4g/DBX9MTxNb6YjY+OA4pPAAC4c4Y7VnMc5xjAkm1/a6qKrF6mUsDHRqngEKChDoAtUxz3ymdSQ5UfPaUI/Xy1NhTRRxCrFXxWD3BZPdQLK0H/7pSur8kI2CNDlbyp1KC+UVzXbjC8+IFn9Wg9nMEA/vWvAUGA8PitHSYJAnfZaJA/fgZKCkHWLpf3WKPPtaQIwu25/mtge0Xt3RwokxZmqp30ZEOLFxnZvA4Ye6NqNWTvTiAqGlyK6GFJmhqBXVuB3meCo9+73sQXCR8YHYpnLvLM69fOeemR+Hl/pSbD0DU9bZMaMSFGvHZ5V8zZUYYHz0tV2Uudh4am4onfbL/J8noz4sM6XoItX8A8pRheh07raWfcGfFIigjCLQMT3VqYPYHnOKTHBOOK7rFIjRR/+Od3dW1HRyUrNgQ58SFeMcSlRrU+wwyDoZnmRgiP3ARh5uPurav2bbXVNvdsuUGCzsE5qawAWTobZOFX2nWbWkOzD45hNIJ/41vwL3ygnIHJnaaUHnytXRJCDbKMJnDxCeBo8XYD1WXxQiYsOcifKyAs+AIo9a4WBNmzA+TfzSCNDVIdp9bgDSMnHb5nUOgSUuFvdq81QodSabgX3DkX2RbSurov6EW4qBibd9HYm2wrJLpW7RMuJAzcNZMAAOSHOSAN9a6FaG+aADWoBhztxFMKTdT9lPvdaXhvkZJCCK89aRNxh+h9Rb5+H8KHr0D4wgvhyjT0e8oX30AGg6JfcjjeviID716l7p1MawznxIfimYu6KGb100OvBNGoO3VZQavrO11gnlIMr3NOlwisKZC66CZ6EBesF5OBw/3npeLRX20ZnyI7YJY9JQw8h1cv69oqvayXRqRj84la5PaMVS/MYDhBBAE4sBvokqVvv/27bYPeA3tAItx4UUbFAlUVNvd/BeMIN/BcXceWGKLagVisLEYTuMgoSRifC94amPrcU4qanTfKdE/o8L2gYJ8YEu06UmT9Su9WXLAfwjsvAJndvee14w3hYNoopccTjfYujIpR1RDjhlwILiEZSE3X1z4vwI24GlxWd6BLNoR7r/P78b0Nd/6lICt+AE6eAPl1IbjR10u2K4b1MZRRu2YB4ylF/eY9fa9TBmWy7W8Is94Af8v9IBv/sK30RmIHCrKFqo95SjH8QEasOME19dwUvP1XkWy5erNv+n30WKymqWN46foD5inF8Dpmq+vHe0S2d0P2lIiiDFERbrIzdERaK+DeJykMNw9MhElptpzRKoQNf0D4/qv2l5ZbI2TtcpuuxYzHdO5IXQ93YWZRLe+QhjplY0QHvbZu0RD2SP5c4Z1j7dzinXqUoI1O9XUy26lz9ZGnlAN7lkdvc3ifciZKvVSdan0dtPFPh2YXRxuXIihdMzqE9NoWD6XEVFs4aXZPcH7JoCiF4w3guvUGF+xdL+22gjMawbdcW/LbYpDKcmmB9mpgb0t8KHSuGS2hsXQ7T57w7DhUZmzh/ZeBpkYIH73iWV1a4Km+qZeNUsRiBtn1D0gTM3Yx5LkoU3nCbtk+L3xDFXjxEjEMUTgd+6YewEafDK8zMFUamjAqJwYG3j+iR7RHFhOaYwQSZNbrIL98LxWW7kCQv1fbFk4c0bmjxgFURJTYaVcyGLRmMOajToOvjZCS7GlKZUaO9mkbfIJclibaKBXUjsOMveXJ4o1sZJ56SkVTHrW05xcVnscNGQ7+kyUwvPRRKxrIkGXAEKBbL6C5GWSpk7h1IBhY2htq18wfHj5ajMJe8LIk/n4+aA9obxul5nwK4a1nIXz6KoRNa2H97zUQNq7RV8e+nbA+cjPIP9q0FxntC47jsGRKTzx3cRc8dkEq3hyV4dj2qFO2P29yBpVYa28pC6PWAjNKMbxOlFPYnJ/sUQBsYWzvX52JVy/riugQZpRiBAaETt3sPKvdYfDQ+KJ1N4MRiIi0LVdXypcJRA+B/B2+rV8uzM2ZJAWtqQBDookVITO7SQ/aKJ0jzw/IukBasu9x5490XRkVIy43UF5t9KDZaGy1By9DHo7jwI+7BQBA1q0AOUEZKOUMugz3qE0eVJT5px1q0P0HT7UC/f2dpPo/XjdKrfnFtrB9I8gnr9rWffqarjqE96YDlRUQPnjZq21jBBZnpoTjvPQoZMWF4LMx2Zg+ogv6J4f77Hi0M8a3OwLk/RHgsB4Zw/f4uVPaOSoY3Tv5KHMIg+EJVCeQi9WWerbdcWCPZ/tpnbXlONFQ4cYoRXZsgvXD/0mzp/kA4ZNXYX31CdXjEKW2egsNnlJ+yy7YWuISwA25EOgzEMjIcdnMScL7al2266Y9e1sBQP+zW1+Hlux7MgZCyb1I6exYJIu/Fdf7OsTyNIfL7gkMPA8gAoSFX4kbOkimQRfCfDeAVCVdn1aiHV3fISdjIrFYQI4flnjbCj/NFwvIGXgiNUhl+NtQTE/KVZT699haYBpspx2dwkzom+T790l4kO07ufOkTEIKhgvMKMXwCVmx4gyOs+g5g3HaQQ8S/JHWvj2hVayZ5x1i3kRJS0ewQnj3RZAt61Hy+O3qdbaic042rQX27QKOF/jsGIrQ3i1aBqBaDFeBgMEA/raHYJj6nLqHTbCGiQe1Qay3shL6Gf7lT8Ddcj/4e6a1vjKDBk0pNd0y6hnkrhwvrg9Eo9+Ac9q6BV6FH3OD7f7s2ARiDw3vqEYpOZ25QMesQz+OEJCaKgiLvgU5WQhh6kQIz08F+YEKz1QTN3cTDk+qK+WzNfoa6phk/mf+P74aWiUEGAydXNYtxrHMdKXUYUYphk/I7RXnWGaZBxinPbQ3UCCGmLUh5K9V4h9yIVt2eF7VU4rOmNa8a1vrG6cJlY6GLzoilLcd0aDhxbWl8SUuQXtZPQZbLba+EBXDlamdeJA5wSUkgz/vYu+ExmkxSqndF2o/7qqJ4B+bAf6pN8EFoAGen3In0Hcw+PueaeumeAUuOQ3csMsAAMJ3X9g8czqqUaot8fS3ZtYXriZ8/hbIsvkQXnkEaLYl9CA/zBWboeaxpdC/IFWnIDx0I4T7JvrfU4o2zCV3Vi7nCXKeYck6dYKYpxTDR1zTUxwLj5m9F4/+WgCrwIxTSjCjFMMnXJjhZnDJYJxu0J0epvehjDsjAs+DswumVit4Sp0KwLh9X8zCBovpjjUNMLr1su3TtZv326IClzsZ/LvzwH+yRL2wjuxvmgYSat5U3tClau/Q17y8RL6MmqeUIID/8HvwH3wPzmgE160XuK7Z3mujF+Fi4mC47xlwfQe3dVO8BnfVRNu788gBkM3r2vc3xsMwOZ/jqSGnWSFTrBJ7ttn+p99NCcnicrfe7ve3yn9vJNn1tHonewuLeA24HJX26yVUxhu2LbzBGAwZIp00lveWNWLsnL1t1JrAhxmlGD6B4zi8MSoDSREmvEFlOmAwTkvomet2NIstLJ0D6xtPg7jpxJLqytbpN9GeGm5CHTje4PCU8olOU6OHHVm1SS9fe8YdOaBahIuMBj/jc/CPz/BtW+SOHRYBLiRUm1ePFtF2O1oGVmoeYomp2o/XUaHEWMna5bJFuHMusi306i9fB8eBM5rAtVPPs/YOFxUD7vJrAQBk0TdAU2Mbt6gVHD3U1i2Qx9OkCGadRim5/gH9jVTTYCQK/Yvi4+Jyg58zgVHfdaV3jMfIXY+qUz7XlGQwtGDkOQxKdTWcltf72TDcTmBGKYbPyI4LwSe52ciOC1EvzDitISeOwjrjMZA929u6Kb7BSn2A2pF+AflhDrBnO8iW9fLb9+2yhQTQs7B6oTuV7jrwnKgppSh03grIn79rL6snJM8XnWM9OiUtcOER4NpC8JyeyVab5fd2uJeakcuezbEtUNK7Cvdvm7ioWPUy8Qng350L/v7n5QswrYw2hxuRC8TEAWUnQdataOvmeAw3dERbN0EeTyPevGEgpA36akYppe8N/e4vPCpfxk58orZ2acWXnllKfYaiY747JoOhg6eGu4asbjjuhUQtHRBmlGIwGG2O8MlM4MAeCG883dZN8Q3t1FPKgUJHWFjREpL1z9/eOY7FjVFKg6aU36AG4cQebqGEL4xSPG8zEMQngn/6Te/X702okEz+vmfAjb0J3JQ75ct63SilYoRry+xwcmEngLKhTI8XmadEKxuouJAwacY9GjXtLobP4YKDwV0z2fZHVUXbNqYVcOcHqlHKM6sUWecFzyBCQBobQMpL1MOWFcL30EUMiyQbVruvw8uJMYgHkyiaoY1S9LvT3yGKDIYCPMdhSOcIybqPN51so9YENswoxWAw2p5ATBPsTdq9ppS0Q0727QTZvsn7njdmNx1ungdnFzVVyr7XFhQdd7/dR/ebO+NMGF6ZBS49QLR7lHSHgsUQOi40DPyoa8FdOEqhDg1dEvv5dj9DvaxaOJk/DD1KBAUDcvoqSp5S/hCr1/ks8Xc9AWT3BH/df3zUIIYeuPMuAVLT27oZrqR11V42JNTmlffGN75rjyd4OJmkxwNXkapTEP5vAoTHbwPZvU3lgAKITFu5QeeJf6iFFPJeFkKnj8dx+jyNNdbNT3sd/MwvRCH1ulqQZn0i8wyGrwgxuvZtlh+o9H9DAhxmlGIwGG1PR4/+aO/Z92jdmaZGCK8+CeG9F72v7eQutJHjRE+pNu9sUg+sWgc7yAfhyw0Bkho9jJr9UxIVlzl/RX0pDTP0/P89BW709eDveEy9fUYVTyh/Z6GiCQqWPV8uWOF58YdRSo/QPABu4LkwPD4THC3EzGgzOIMB/LU3tXUzbNAGXz0ZOEPCbF55clnV3KEUDustPDRKcVdNdF8gNEy9Evp9/+9m9fL1Mt+Hk4XismofxMvvRTqEkRAIt+dCmP2Rx9WRygpY33kBwo/zxAm/+ERwpiDH9RTefAbC1EkgTW3dV2AwgJvOTEBOfAimnpviWPf+huI2bFFgwoxSDAaD4WsoTym5WcyAh+Mh/Pk7hFmvgyz4Uly/91//tYGnNKW8hadGCdomVVkO64f/A8nfIV/Wk1lnFeMAN+xy/XX6ghDKgKLklaQnRE7JIEPBxcSDv3I8uKgYUXhbKZOamv7Kjk3a2+ZtgkNkwxWJknC9P4xSbWmkY3iHvoOBHn1tyxp+Tz4jXHxXc3R45xlnut/P0+fcyyFnLqi9S5RQ063zxe+63lWvhvy8QPv+3n4PyOhqkVXLPK5O+OZ94N/NIEvyxJX27wz9rFkswLGDuuomhLTPPhojoIkPM+G1yzNwcVY001l2AzNKMRiMAKCDu0rRnRyLBeSfv32TQc5XcBzIl2+DbPgDZLXnnclWQWtKKRETr1oNEQSQbRtAKss9bwvtHbVnO7D1LwivPyVf1pMOrsJAhbv1QXCjrwd3+Vj9dfoC2juKNrAMtIWKcEMuBKdmSKQGk5ySt5UC/P89A/7FD8ANuVC+wMF89xWo6bP4kuAQYP8ul9Xc2cPEP2gPJH8YpZRCMBntBo7jwN/2UNu/J8JpL0raeC3zHAcFAf3PBvoMBPR6SNnR6eWnG50ezqS2GmTrX+qhcn4ySunC29eypFC9jB7kJhPsRimnb4hauKPEAGUw2ry47hwDUnyilY1kMOS56UzRc9SroawdAGaUYjAYbU9HfzFTHVqy8gcIH7wM4cX72649biBHDsL64SvSTpkvhUq1wvPggoLdz/47zWaTY4dh/egVECodNvl7NYT3X4Iw7Q5ftdSpTR4YpRTOkcvqbvMSakuBbhraO4oayHD9zoLh06Xgb3tIcVfuqolATDy4G+4WVwbrG6BxJhO45M7gQhRCYDQYWfhXPtN1TG/BBQUDyWliO+55EjG3PwQus4dYZuRooFMSuMvG+NQoxY27BYiJB3/tzT47BsN/cDFx4K8cDyS5Zn3yG7SHEPU+4+Q8KjkDDPc+BcPU56ShvUlprmWV8LWXn9UCYelsCIu0aV0JMx6H8OH/QH6a774g5/1hGPlrVesq8LbEQKMXMhDS0PpYLXAt73ouVGqU4tQyvjY2iMtU/0F4+i6bd/jfqz1uJoMhR+8E8Rn992R9G7Yk8GBGKQaDEQB0XKMUIQQglGHi6CHb/5WeZ0giFjOEr98D2fJnK1vnijD9AWDreghvPSuupDtubYXdE8edt5STUco6/QFgy3oIbz0nzkjt/P/27jvMiWr9A/j3TLZ3YHdZepEqAipSRcHuz4siir1hx4a9oCLYe+/lem3Xa73YO/beARXx0qR3lrLAlsz5/TGZ5Ewyk0x6svv9PA8PyWQyczZ7djLzznve85Pxf0OEO9jhhKt9FdKmODOl1BnR7LIM0km9oFIDQC4Klmtjj4Xn9n9BdO8TWBjrcKNCp3pWLj6v1pWx7TNO8qevLJl92i7DUTr2GEugT5SWQbvpMWjjT05qUEo7YBy0255kbahmRkQaOpZMasF+NXvFbnIMaX+M1C6/xf3+NA3aXc9Bu/ouoNdO7t/n1ratkG++APnOy5BuJmYxb4REyIjWDjsh/rYFkZ+8HX6FSBmpiQ5KFZdEXicKol2YYv7BM4FG+k4Jc24jn7oX8p93xZdVTRQk16P5q7b9sCzOrMZmhkEpIsoAzbOWif7EndDPGAu5eVNCtys/fx/yiw+gP3JrQrdrsW51YH/prL1jMgMg4YJSynCsvF47BgJC61ZDn3YevI9EcZETzqooUvtjmX1PDUCoWVGRZpNLNXWYhzp8z6ZWkqNWypDLWC+GHDKlxG67B544zLQnhIA4/mzb1+LSrVfYl8W4E6CNOwEobwVx8vmBF9TaOJonkDmS5OF7jsXnKXtF02cS3L+Eepy21J6zyfJ0CtxHM7ur0CBKyyC69EjOcXJNoCixTFD2jBh/MrDrCCOQlkg79AlZJIbtFXhSH+EmU6z1s5w0JTjTOuh7Quyxf+BJcFAqUha+mxtuG2vdtYvIpT26GsfHn5dnyKQ1GYJBKSKiJJHffWb8/8wD9q/HOGzRsah2jOTi+dBfeBxyi0PwbMPahO4vJmYAJFyNIuXiRupBn+3yxcBPXwed0MZ2IS7nz3W/stsTfDUYoV4gqgGejMuUUj4/JVNKRFGbyFIEuU11bO1wmsFK/UzD1I/SRh0IMeao2PatygtccIsRe0PsczDEhElAj74hq4rRB0F06gbPHU9DG7FP4AU1eKZ+puksWk3Zqapt4HF1+/DrJrqOkJoppQaJ8pIUlFLbn+TjpHQ5hM+JOOVCaNc9BO2AcUZQvEsPd7Pwud1+dTvLc9nYAPltFEP6YrmREo7v2KtdlqCbQk3WLGdxrDIUP/gGRaTv37UOM6CVVQQeZ9rNIMp6A9oa/XTpJvuM/ednrcHYf/+JJ35clcpmpR2DUkRE6RLrHclfvg1ZJKWE/vZLkObwNBfkmpWQG9ZBv/5CyBlvQv7ncfsVkz3dthu+iw5REqYQrvp5OgyxkzO/j78t0dQ+8rrM/lGDDmpQSg3wZNrJsSVTKvbTCe2GR6BdeSdERevYNuBUUyqa2RpjrdOlBubUvpmXD+3o06Htvi+0C66D2PMA69uc/qZyHOp0HXYiUFoOccixsbWTWhxR1graVXdCu/7hyEEPN3+/A4cY/7uYUMJSUypH+duKJtDkkN1oS7nZYFu3KpE67xDX20VNR4h2QfW+3NSWsvsd2hy35IqlkKtXBJ7/++HoGujVIbdthVyy0Hj/3N+gv/58TLPSSSkD38tt2wWOl0LEXuRZKR4vho6CUPtUcKZUhHMsuXSR/QvqDbpED2ekFm9Qh8CQ1qUb60Nef3G2MWT0zbkbUtamTJDkOVSJiAhCsw+SNDVGd5IezszvIV97DhKA5/E3Iq4ut26BfuUZ1mVLFtivnMC7uDEzT2YjzcBncjqRVIYSyL9+i60t0Zycuw08FhQGZk1SA1FqYCLZM0xFS72oUDK6pNcbVQ6aaBshiyOS4AsRk9u+AthOW+6OgL8mXmk5YNabUS4WRX4+xAnnwPvnLEC5WLTdWo51+J5/eWVbaHc+w2F2FBXRtafxINKNBRfHFm3kfsAe+wPdekK/+KTQFcoqAjWUtm+DGD/B+LtS/z6jCBhF1dfV46xdNlYCib4D4tuAXSapi89f7Doc8qsZ1oUFhUB1O2DZ34Fli/4H/aozod31HERpGeSyxdG1z9sEfdLRxj4POwnyv08by6vaQqhZna625Q18T3hyod3zb+jnH2ss8zbFdv7jm3hFHHq8UdBfFRKUivBd7RQYU88fEp05Ri1e68LA9/w5by3E68cFhty25Bn5MuwMl4jInlyzEjJC0dCM5VQYuzHGTKmi0MKhaoaUdDHVvfz4Lff7++1n9+smi3nS7rZ4r4u7m/Lnb2JrSzQZbm5PaNVMKfUCpSH0LlpcIhW5jYbaz9Q2p/gk3ikzQjgFq+y4yf6wo/5tKxdAtjMkuglmavYBSYB1nygOkWpGucnUycmBGDgEoqyVfWBF+X6Wb70I7YDDoB1yLKAWik7EzKF2ARz1WJSoGz1OIkySEfGi0mOTD+Dmb9vmex8AtIlXALsON2Y0Va1YYvwfbU0n5fjtD0gBwPoYhvGr35U5OdbfTZTtkps2GBlgZqaUTZ8OmYk10ne1m5sRzJSiJNtcH/ibO/T5QHmIpw7rkY7mpA2DUkSU8eTmjdCvPAP6xSemuynxU0/KG2ObAU4MGx26sHN3/0M39SPk68+HLjRPYjORv6aUMkQqzMWHdHMiGc0segrRpq3tcllnM5OK26wqSzaB0kcSPPOhdsdTEKddDO28KfFvTLl4EZXKZ+J2yGKy2V38qdS6N7EOUW2vzASlXADJVctD13XTJ52KxxPFQUQMSjkERdRjkdIftdMvNR44zHSnXXht4In6t9W6Knw7gpt17JkQ+xxsXWhXX00NcCQ7KBXpezvS94pdJpebv/W8fKBDF+uyzRshajrAc9ZkiF79rK+Zx6Nog1JO31mx1LULDhaqv5vG6NqlX3wS9KvOhDRrXNrdjIg2UypS0XckrrA9keqykYEM8R99s/Ct22r9m2hV2LIGtDEoRUSZT01Nz3bqCWKsNaVsLiBEWSv/Y/nBa5E3Mfqg2PadLv6aUsqQrHB33d1k68RaX8rpTrhd0VS3QSk1YKHWDHO4Ox4rUVAIbeio6Ia2OVmyENr504Cdh0EcfVpgeaYMdxAaxOA9gLYdgO69Q19Xh0bGmsGhXKiJwXsEHnfqFrpuGxcX5Jbi8TxFowSJFJTS9UDwp6rG/n1KkFcMGgHt/heh7X+o/fZ69Q+sO8BXi6pLD4hBu0MMGw1x4rmumq3t9Q9oR59uXZhnExxRj7NJz5Sqh/ehm6A/drv968GTbASzO9a4yZTKzYM25R6g3y727wvOEjLPNaIM/jh+Z+XmQp/xZnSz8ZptEALQNGMIutmPomiXJft7ySJfe2w+x6CgVKSscekiC1zOeDPiOkTR2r1LGfI8xt/vp4uMGmanTJ/vf/2iEe1s39ec8YyHiNIv0tCBNKRP6+++Cu9tV0DWJ3j4lBrQiDkoZTd8IXCCJ/rtGnkbwXdcM52wyZQKVzsk1nH5buo2Od55trmwcBuUUut2KVlvCRnuYidBdVfETrvCc86VlqCoULOHUk0NtmkC2hmXwnPDw9DOnwr03BHitIvt3xfr5xxcL6e8tdFXe/YLWVU7+QKg3y7QLr7BcXNSHU7iZkgVkRuRjkO6F+Ko06Dd82+I/rsFlqt/F0FBUlFQaKnLJ3bcWVlXqYdW0Rravf+BNvl2iJwcaKdeBG2P/WP5KXxtsgk6qcGHZB0zfeTaVcAv30L+8AXkVpvs2EjfPbaZUi7+1vPzjZlNf//Ffl/BWULmZ+JiOL+F002FpYsgX3gc+v3Xu9+WuW9PTmD4sfn7iyaDa+tmpX2+80G74GPw8PRI51hrHGbfU5W3irwOUQwO6FEBAPh1RR3G/vtPy2ujuoWZ1KeZSmpe2B9//IE33ngDCxcuxIYNG3DJJZdgyJAh/tellHj55ZcxY8YMbNmyBT179sSpp56KTp06JbNZRJRptAh3CZUTarl2lXFSV1AUeUhCHMxaCvKL9yD2HZucncQwmw0A29iHVAt4z/oBOOrU8NuwG2Lg8cTepmQzhze4zJSSsQ4hcxPLcnEyLeu2QH71EeRHr7varahuB/nnLOPxzsMgF/uKzkczA1U0EjFterl1tjxtyt3A+jUQO/RxeEPyaDc8AjlvDrCpNlAHRQnqiKISeHxTknufuDN0A7F+zrXrA4+9Xmi3PAF4vbZ1rkR1O3guuDZkuYWaFZpphe0pe7WuDP+6rhtBg+JSSHUomfodazPETOw0KJCZq6wbXP/McbZJl8T/jYd89xXjyVqbadLV77NkHTNNap2/hgYgeB4QuyFhnbsD5jHd7tjrJlPKLkNMVRicJdRonCpEXVPKYeZapaaU9HqNAFkk5lDH3OAZGLdFl8G1RQlK+T5f2+zW4IBfmPMZV0P8AYiho12tRxStEZ1LbWfYu3+MTaZ1C5DUM576+np07doVp5xyiu3rr7/+Ot5++22ccsopuPnmm1FRUYEbbrgB27YltoYGEVnJus2QaRpiI7fWQQafjEQ4IZO/BApSy7deNGoL3H1NYtvl8JnIl56Mbju166F/+i6km1pA0d7BNCkX2/6iqupnutqmnk0wuxPCTA1IAUpNKSUoFa5mUKz9W+qQjY2QW+ucV3H6veleyBVLIKWEfsGxkC9H0XfaVAce1yjThcdSx8MNNxcUEVkjeKLzDhA7D0vAdqMn2raHtvs+jjMX2r9JOe7EOuRHvQDVdYicHIj8OAJ+6u+bBXYpGewy8JS+Jpcrs7WpwVW7Y4Y6vLjSvtZeQkSTNRjFDH8xWboo8NjuO1MNVPuIth0CT+yCZutWR96veWwYMNj+9eBMqcYGyP/9AdRttl8/WmrW0Zxf4T39EHjvmRr+PWbmp3pcM4NJ0QTL7Oo12g7fi6LQufodHy4bisdhSpI+VfaTsXQuT94N90yW1KDULrvsgqOPPhpDhw4NeU1KiXfeeQfjxo3D0KFD0blzZ5xzzjmor6/Hl19+mcxmEbVocuVS6BccB/2uxAZ1XO27bjP084+Bft351hfUIIvdCYBywS7nzDQezJsDuXgBvKcfAqmeJMbSrlXLjc/kMpvsoiiHgel3TYH898OQLzwWeeVYh++pF9vmSXG0RdOjvXuabubPrF4EhZuZLo4TSX3KWdDPPwZyyyb7FRw+O/2hm6Ffcw70M1xm1qlBEeWxKCmFdvaV0CZdk7yhKInYbkICWwmmBiojZR+ofzOxBqVylM8xxsL5KjF4pLK9ljs1NCWWGBgYpWBbq0w9lv6hDA+LkCmlBlhEx67GJAqX3BhHSx2of8rdeoVfN8nD9yzZOF6b7wK7Gwk1HaBNvBzapKkxz6JpBru1My9zaFfQfhvqod92RUz7suXL5AUA/V5fxqc6lNCOGbRXPxOzz7g8Z5FbNkH/98OhL9hlo5YG1UpcvcJ5w1s2+h9qk28HeuwI7SybzytTaiRSs6MJgepia5B6XN/WDms3f2kr67569WrU1tZi4MCB/mW5ubnYcccdMXfuXOy3336272tsbESjcodfCIFCX8pqtk+XbLY/238Oymz6VzOMB3Nnu+5rieqb8s/ZxoOVS63bUh96myA81rsEonVVICdDGeqnX3+B8f+1k5DzROzFKPUvPzQebFwf+jMWFkX3c/tmsJPm5xzOtq3QH7wRYpdh0HbfN+Lqsn67EZxRAxi6F0LkQjQ1Bj6jqprIbY41SytNhKZBCAHh8cB/6R9m5py4MgHNu9bz5kDsEpr5I5qa7Ef5qVOfu5Gb578YFABw4OHAkgUQvfv7h0bIBXMhf/vJWCeB3w2iojXiDqFImXnfV8qFhtlnHG3bGlrnJFpKIEqodVOi5D/GqoXTM/HzpawkdugDcf1DQKs28F50IoDQ479tX1sTuKgXOTb9Wwnmirx8aEP2jK19kfr5RmWIi8PwPP/fUE6uq1HYMWsIBFOE1xvadpvvHuHJgbbbyJDlUckvNL4D8wuASVOh//theM69OvBzq9+NAMT27Yn9HKraAauWhSwO97uTZrAzv0A51vqCet6miL932dgA/cLjbV8TuXm27/dMvQ/eaycZ6xSXhg4lNZ+v9tWTqmoHrbIttCtuBYDQ70Xd5ndMlCAPH9IDz/26Gvk5Gg7q3QoVBdbjW0uKDaQtKFVbWwsAKC+3FvIqLy/H2rVrbd5hmD59Ol555RX/827duuHWW29FVVV008xmspqamsgrEcWotrAQZjJ3u3bRze4Qb9+sKy2BmdheU13tv/Be5snxnwhUFxcixzcMoG7GW9j+0zfIH7AbzFNST04u7MIN0f4sqk1t28G8lM195j60vmAqzFMvT2l5VNteEsV+8z5/F9t//Q7y1+/QYfwJltf0bVuhKcWvZWMjlh62O0RuHkoOOdr/O2y1djnq3v0vtNIymMnoWv32iG2uLchHgpL6U6KsogKlvp/J/xmHGWKXiJT7VuXlKLL5HDcXFaI27q0bFyoSxkl7aWkpyk6dFLKOfsp52FxejsKheyIvjj5uJ5q+WjnlTtT+635UnDIJa6+7yFi4YV1cf3fJsOStF/2P21RVI9+mferPbba/sakeLkrehvAI4T8elbZqhbI4P4927Tv429e6dSsUZNjnS1nM15eW5uQEggWWl4OOr4Cllk9VTQ1yg/pjkyZhhq1aVbdFYYzflZGOI0vMG0cA8gsKYZcja26jrqoKoQPokqOVbELdP+9CycFHomCgMayuob4OwVWvSsvLwx4b3ByLKzt2ChzP2h0MHHBw2O0US6/r7/hWk67GhvucJ2AAAA8Q9bnX5h/qUAsgv7QM1b71VhYWoRFA69KSiP1l+y/fYo3Da2VbN6HE7v3t2mH9geNQ9950lBQXo9xhH+V5OVgPQNtWZ/kZ1o06AFs/e9//vKigAK15HKYkurJj+4jrtITYQNqCUqbgyJ+MkK4+btw4jBkzJuT9a9asQVOW3fkPJoRATU0NVq5cGfFzIIqVd3NgSNKKFWFSmxWJ6pv62sDpxYo5v0H4huXpyhTKq//8A2IHI6DQdNc0AMDWvwPTpHod/s7d/iy27aoLBDe2ff4hVlQF6j94Syss25ZeLyAAYTeUIUrbVwcug9V9eJ9/FPLjt+C57BaIXsYsXnLNSkDXIeu3Y0tt4K7x2qlBQyEB6FvrIn4e3trQ4oqZbNPmLdgSze84AUOpNqxfj402+/R+93nc2wYAqXz9bVq1EnVOP99eB2MrAMTRx+O1oaIKYtr9IcG4eP7ukkE77ETo/30GALBu/XqIMO0TA4f42y83xPb34N2+zRhSunULtnTt7fw7jEA9xprWNzSFbT9RLKRDrTX/33JeniUbyLRm1SoIzTo0Tir1kzbUbUVtNP21Q1dg2SLrvl2on/2T7XJzG3rdVvdtiNPau6YBGzdg2zef+LO15arQQuyb67bGfGwwrWuSUR0Ptixzd9vBc/Pj2FxVA8/jb8B7+iGO63kdhrOH+93pm42wWP3a1f71mnxDrNcvXwYtws8jNzmH1TZ17oHNDu/3NhgjajZvrMXWoHXMY23t8qXGPrr1svwMTUpACgC2btmC+jh/d7KxAd6p50LsNhKew06Ma1vUsjSH2EBOTo6r5KG0BaUqKioAGBlTrVoFCsxt2rQpJHtKlZubi1yHNPts/WUFk1I2m5+FMpA6k12U/SzevimVFHy5ZTPQ2neQUmeO07TQWipq4VCH/cfVruDs+5+/9j8WPfr6ty29XuhXnAYUFEC77qH402ltfhdS1yE/fst4+e5r4HnIyAxVfzo5b0747ereyJ9HNDPfZACpieh+xwk4hEpdt92nnPVj/BsHrPWPOu+Q0cd9279LZOD3blXgbqKEsG2zdu0DkN99DnHAoYG/u2hm7KqqCUwlvqkW2r3PAxtrgXYd4/48pJTQzpoMWbsOaNcp8z5fyn4OGab+vmYTkAIAmZcf8vdknakvL8pjtFJcPcZ+LvY/FPKD1yAOOzGwjXATYCSack6jz5kJ/a0XIfbYP2Q1qWnxHxvKKqKqMye/+9TyXJtyN/TrLwxdr6DQ3Xa3Reg3dq9tNnLQRZ/+gfV8MzHKui0RPxPz/bavFRQ7t9vsl01NzvswC8C3amNdx5NjrffpdXE+FYE+/Vlg9QrId16GHHdC5DcQBWkJsYG0BaWqq6tRUVGBWbNmoVs3Y+rDpqYm/PHHHzjuuOPS1Syi5i8BGSQx79qXwQAA+n3XwnOHb+p2tXC0bfFqJfgTPMNMItoVfOd14V/Ki8qXwNpVgbpB3qbYiyObVtjcyVTvRqqFQNUAmFMBbpMvmBI2aJZthc6jmX0JSEyR6KC/Ff2154Di0vi3a8rJhTZpKuT8ORCDRiRuu8mQgMzAVJDz/ww8ccgIEe07Q4wLqlMSTXHkoIteUVRiLcAfJ7HrcDT/6hGUNtEMbS6rADbVGo9bVYa+rv4tRPt9mIBjtHbEKcARQTN8q+3Iyw8/IUYC6XdeDQCQc2eHvhhpJtBIPB5/uYNYiGGjQwuhm9RjX+tKYL1DCZVYhsSb5yolgQLkoqjEuGe01WZGvSCOk40A4esAegJBKedt+4JSQd/p2m1PQn/kFqPNv3wb1zmzXLUc2LDWcv4mN2+EKHVOviBqqZI6+9727duxaNEiLFq0CIBR3HzRokVYu3YthBA46KCDMH36dHz//fdYvHgxHnzwQeTn52PkyDiLARKRM7spjNNh4wbI33+BrNtsG5SSajvVAtLL/k58W5RZZUJJ6G88D/3z96wzACXthoWLDbvJcor0e862oFSUQZGE3FFStiHXrIR8+yXIl/4Z/3ZNOTkQ/QdBO/R4iHgvWmKgPfAytKvvAtwExOwuiBIZoEsQ0X835UkUoZ2cKIJS6u8qL8kzfRGlkdh7DNCqEuKgI+xvcuTEE5SK4mK/R9/AY7vgmEoNVtjNhBetRGRexRvUr+kY19vFSecBBQ6fRXAQLw7yt5+h//sRSPOGmlkuQg3CmAH8cDUhze19+ZHxoN8u0K660xJAC/udaf7Ows1wXGcflBJlFb7SCTv5thH7ObN+9UQjWKn+rBuc6yYTtWRJzZSaP38+rr32Wv/zZ54xsiRGjRqFc845B2PHjkVDQwOeeOIJ1NXVoUePHrjqqqv8s+kRURKkMyi16wjAHBpX3gr6PVOBmg7WO6bm0IFwJxMJJO3u/uXk+O+wyQV/AfP+AACI6x5U35ikBimPhYD+/CPA1jqIcUodgtaVkWd6070IPsTLDeug33EltGMnZt3wvejvNCcgKKX2DZfTV0cl3ky7OIn8fKBLD4jc/Miflt1FVSbOBqN+ptH0mdwoToeEgHbTY5Az3oTY17kGC1FW6tYrkC1cXArt1n86Z92qQSnfsCzXojgX0f5xFPR7pwEAxM5DIT9523ll9RiQgAkvUFQMhBlG5kqEY5EYuR+kUsw9RJzBNZGTCxmUKaVd91BoBtbK0Nn1omH+jtC6EuL/xgeyxpRMKRT7+omLTCl/P/z9F4gLrnUf3DP7Zbg+ZmZKlTjcXFm+GAAgf/gCOONSd/v1Cc5Ul198EHhx+/aotkXUUiQ1KNWvXz+89NJLjq8LIXDkkUfiyCOPTGYziEiVzgwZNZBj1mIIOgmSDfVGQpI6rXLHbsDShclp0ifvhC5UU75XL/c/1O+ZpqzTCLnsb6DLDgkpeh5okLQ89revSpn9xc1wBJtpqfVrJwF1m41g4MAhcTY0xZyGYo05CvLz940LkfXKPD2JyJRS/1aiGd7lViprn4QTbhiEye7zz8SglNqmKIZ8RvU3LDSIqhqIo0+PomFEWaJ1ZSAYIPWww8CF5oF27ESU5uWgrk11dBmqDrWrbHXurjyJsA/1eFanFMp2KOAeUWHyg1JoFyETKp6gVL9djP+DMqWE3T5j+IxsSwWsXW38X1gEbN5o3AAxFfoyperCB6UsNwy79zb+r9/mrlFmoC3MzU3pC4qJYvuh19IXlIqW956pwO+/GJldduoZlCKyk/rxAkSUVlLJ+Eh50Tw32TkNvi9sr3JCop5kJrimlFlU3JEaoFKCHvoTd0G/6RLo112Q0PY4nXDLt14IPHFzUuO1uUOsnhhn2/A9hwsjbexx0O542lLgGkBihleqn1Ey/laiKa6dTG4ytpS+I048F8gvgHbm5UlsVIzUYRJajEGzSLVbYt0uUQYQ//DdCO7QxfZ1bb9DA09cZDNpe/8DZUdMiL4hDe4vzkVZBbSp90G76bHIx3aH45nY++AoGqcoLIrtfapIx5RINyjiCEoJ3+/ZVeA9lqCdTeBHbvEF8Vb7Zq2rVqa8Nwud//RV+O0qReS1CZOia5PHRabUgrnG/8Vlti/7/w4c/k4c/f4LAEC/8WL716Po90QtCYNSRC2NGhhK9VA+F0Og5LMPQX/8DmumTzKHUUU6QXDa32zfDGwJqnElF883Cmlvc3EncLuLdWwypdCxa+BxmAKgmShc/QghRMhJvXSYKSgq6u8+GcP3MuWOqYssMPVOuLbH/tDu+w9E752S2aqYSCWzMeri+Ka+O0dYgUEpyl5izNHQJk2Fdtkt9q/v0CfwxO57JFHtGLaX8aCXu+OI6NgVoqoGqGgdfkWn41mshcIrqwOPY53QIFKmVISglIgnUyqaoFp5YDZ0ccTJ7t5jdx758zeQ6vdbufI7UzOaw1HO+0S7TsaDHju6e6+LTCn/TSGnzydJpWQkh+8R2WJQiqilUbM/UlS3yXbfYcjvP7ee6DQlJpAm16+FDE4ZL2sVuqKalZOMYIQN/foLId9+Cfq/7om8spuAkt3nlM2ZUhFP6pMwO5wSwJWfvefuPUpBWnHaxRB7HgBxzBmJblliuRm+FyShQ1YTSY0XxTi8UPQfBO28KdBucShqn4nDFolcEr4JFoSbGlB2GbeJascRJ0M76wpo51wV3fv2HgMxbC9o502xX0HNlNp5mPJGh++Q9p2N/3e1n/BBlFYEHh95iu06AKx1k4JFOl5GyJqVy2IbSgYgMFzOBbHjLoEnXh3oOzDym5zOR8xZG3NyLPXGhBJYkrXrob/xH8h1q0Pfb557KUEj7fxroE28AtoDL4dvky/IJx3OcWVjY6DdTkHOfF9QKtabR07bdTsEkaiFYVCKqKVRgyypDkpFMzWzJSgVfzvllk3QLz8F+gXHWl9wmpEmXcxaHuF4XQSU7O5wqyfGza3QeTLqMymBO7lyqau3iL3/EXhcVgHthHOg7T3GfuUUTVUekXnxAFg/59ZVKW9K3EQcwbL+uxkzIg7eA2LAYIg2Dj//3/Ni3wdRFhCD9wBy8yCG75W8feTmQew6wl1wTH1fYRG0Uy+EGDDYfgUlKCW69ggsd/gO0S6+AeK0i6GNO8Fhh4EgtFBnkQsW5gZWxNlVIw3ldltTM3gYO+BcyNuG/ObjwJNli6BdeB3EqReGf5PdDa68PGDJAuNxeWtrzSklWKNfOgHyzf9Av3qi83bV32dBEcSgEdYaVXb8mVL2NzF19TvPKfvNLBXhJjPdzrat1udmba/6DPneJ8owDEoRtTSWoFSqh+9FEQhR25mIrB6nYXZ2qf6prrXlhnrXrTFMkM48+Y30u92+NfzrmUYJNoijTvP9f6rycjIypQJ9ULicklvUdIQYcxQwaATQs1/4le3uDqeDWjOjULmj7eYueaZR6z1FmdCknTcF2n0vhr/wJGoBxOmXQLv3eYhIQ+UykZr5qWZNVfsmCwnKmBJlFdCGjgLy7AMd8itlVrxw2VDhMmoiZUp5wmerup3lU7vsFogTz4U46bzAe/vv5uq9Ifs8+BgjmBTpXMIuGNepO+SPvppRQedTom370PXtbjya54uxTDLin32vCfr0Z+G9awqkch6pmxnzBYXOAcOCODOllPdpk6ZCmP2PmVJEthiUaqbkT19B//TddDeDMpF6lybVdYWiGQqn1npKRDsdagyJaGpEFEZ3Rzeh1H1LhyEVfQYECqLanUiqdyuVIqJJl4jhTsqJo7bvIdDuewHavmMDrycjU0oNoppDPCLp2hPa2OPgmXgFhHL3W7vxEQDGxV7GUU/61dmquuyQ+rbEK9Y6UjDqZokYhjISNTfG30ISZhxNhRz7iVFEZVtok66BNvk2+/fZfU/l5UPsunvgeayfSaSbJhHOjUTv/q52IypaQ9tjf4jdRhoLCgqjy0SrDszy6w8eRQjKyIX/g/eWyyDnzAwsbGqC/OEL47FTxqmq3KaMgvmZxPKZm+cDTU2Q77wMzJkJ/Pqd/2XdN/MeisNkkZnnUo0NkC5v4Eq7c9Udd4boP8jfL+XC/7naFlFLkyFT/1AiycYG6I/cajwuq4DYdXiaW0TpJlcug37/9RCHHmdNRd5WB/27TyF2HgZR0yH5DYki40kuUr64E5Appb//WmDb6hTG5klr7/4QQ0dBPvNAmI2kOLNMtWKJ82ul5dBufBTIy4d+6QRjmc3QTNGmKjBxUSqLbOfmxjarjyrobqYIKk4qv/8svu3bUS8UXM6YE9wu//Lq9vA8/gYAwPv4HXE3LaHy7E/6Rc9+wBmXQVS1TXGD4qD2k2QlPKoTBhA1Bw5ZQtlI5ORAHHg4sK0Oom37wGFA08JnDSk3e7RbnzTqIGkaMG8O5LefGC+4mDFVe/Q1YOVS6LdNDgT5Iw3fWxJheF60QxwLCqHd94K7mVXV9w0aAfnuq9aFETLH5WNGkE+/S6nxpQ5N121uonk81htndplk5nlfLDUPPR7j966cB8n67f7kWWnO0hquCHyu8jfRWA94XBSMtwsuFhjvk9/5zlH++CXydohaIGZKNUdbAne69Ydvhvfco+A9/RB4T3eX/kvNj/7ILcDq5ZCP3W4JSumvPg356tPQp52b1P3LOTOh//BlVJlS8tmHAk8SkSmlZoCoJ0m+QJPot0vku5kRAisyXcP+PDkQhUXGEDbzBM7us071cM1EinRSnwxqplRwHYjiUmiX32Jc/PToG9v205l5pxDqybda6DYnF9rgkRBde6a+UbESsQ/fcy0bhzQRheMQmM5W2uEnQTv+bGuWjXpsqLQJtCtZVSgrhygohMjLtx6nI2XkFhZDaBpE+87WAFaE4Xtil2FhX0cMs++JwqKoMz/F8L2NB+osd8HD7448NfKMfrXr/Q+18aGz+ImDj7Eu2LAWMjh4ZZ7DRBlYAxD4PannPEqAyj98L2xQStmv25tqNnUi/Teq1DpWRBSCQanmKHiYkjJ+Wa5dleLGUEZQ6ymp49l//9n4P8nBCv2uKcbdtK32Q+gAhL9Tm4iaUurPqGY8mSdCmhb5hNNp2JzdPlJJDabl+E7C7ep3JWO4ppvhj3oCgnURglJi933j30cwtd8F14EoKobosSO0w0+KvWB5pszipl6Qqn8bWoa0LxqWoFSSTnH++i052yVKtdaVAACxU2x1hzKe+t2onv/aBIlEUYlRV+6CayHUQEihEqyKdI6gFuBWh8hHuqkSKSiYl5oJWUS7TtDuehbapTcGFiqfhXbjI9D2GwvPfS8AncMM71auQ4TNTRtpdwxVbxwCkOb3agwBOdtC58pMkv7he2FuDKm1puT3n7vbr925gPm7DeoDcuUySN0L/b9Pw3v6IdDfeRneGy/m8D5qsRiUao7CFJOWb72YwoZQxnDKdEhwEEX+OQveO65yPVOZRXkriLHH2r+WgFkCRT91qmOboJTQLDWAYpIJQalwmVLJCEpFumMKRA7muREpgJOEmeKk+hkGZ0qpwbhYf+8ZE5QKnPQLdVr0qnY2K2c2S+2VAhd9MxbxDkUlyhDaZbdCHHEyxDFnpLspyaEEkSx1gRyyosWAwdZzBSAoU0qDOPR45/05BY8iFToPl0UzcAiQqPIKLr5zRGk5hNJeMXxvoFsviDFHQ1QrRcrXroy9GTsNCl24dJH1uRngiWVoqfl7V89FNQ3y128hly6C9AWlhMvvCPnGfyKvIyX0K0P/juT6tca+Tj7fv8x7znjoU86CfuY4/3BJOf1ZYNH/oL/6lKs2ETU3DEo1R0F3G1Tyq4+gf/RGChtDmUCkqGCxfufVwNzZ/ppmUcnJhTjoiLj2L20Csvpn7xntUYttWobvRZEp5bRfcxveBGR0xWL1isBj8wTOdvheEoJSWzZFXsdSOyLGr51I70tGgerGMJlSSoFU0b13bNvPlKCUmgmQnw/P42/A8/gb1mm8s4SoqoE46jSI48+GKA0zU1a04g1YE2Ug0aYK2v7joiuGnU2Uv1tL9lM030Nq4CI33zhPGTTCft18hwCKJ/z+5DaH2XD7DIDn3KsTdyyO4ftX5OfDc+Ud0IJvGropvt6m2r4Z+401MrC69/YPsZTBdbV8dS9FLEEpc8ihegNh2d/QH7wJ3mnnQa/zZXIVuQtKuZn9UH72nu1yzRfEFO19s9wWFIa/sTF3tqs2ETU3DEo1RxGGksgXn0hRQygesrEB0jeURs7/E/Kv32PfWKrr8SjDBV3XWfJ4LHfnoqXPeAv62YdDzv7Rslw+9xDkT19BfvOJsrLD8L1YZ9Yxgy6pns3QjhmcsRnyKJMRlIq2YHos9SGAyEOxYt1uOE2BE0cZlCkligOZUmL8yRD/OBLatWGK5KvMdP5uveJuYkKoF13JmMUwxbR9D4E26sCEbEv4thM2O4KIMpOaEdW5e+CxWtIgApGfD3HqhRATJkEUlxgzE3bs5rA/h+NnhO+vkOws/wsJvjGQwO0JN8PqwtTp9Dz8KjyTbwfadTQWBGdUx5MpVVpu/K/crJIbA3WuvLXrjAeRMr3NzGEXNzjkz1/bLhfmxBjm+eX2bbbrWbZlVxw+weTsHyF//Q7yxy9Tsj+iSBiUylIyTI0dy6xlJs4WlFVkYwP0S0+GPm0SZFMj9Fsug377ZOe7aRGlMeMhOCXbiXkyZ959c7jD5kS+8BgAQH/8zsCyFUrqtlnYErAEpaRUglJqodNo6OkNSmmX3hR44qsppT9yK7ynH2I92XA7zGzA4AS2DtYT8lgzTiIFLJMRlFIzpYJn31MuPkRRMbRDjzeK27qgXX03xH5joU2YlIhWxk89MY8jMNwciWPPhDbtfoj9x6W7KUQULY/yvVDsov6hA23YXtDUuoVO32Pq+XefAUo7IhxXnQIvib6h2Hdn4/9ETNbgJljk4vtEmLWpgmuOLlts/O+UfRaOGTBTbtKL/MD5nXfdGuNBhMlG/FlaboZsz5kZ/vUw5z5in4Mtz+VPX0MmcYZk/ZtPoN93HfQHb4T+6G2QP3yRtH0RucWgVBbSP34L+jlHQDocAOXbL4UsEwOHAOYFU3X21QlpcZYvNoZhrlhiHR4V65dUIgqFx0iuWOJuRd8Xtv+OYax1etRC/+pjNUvIaxOo0Tyx16Axt5GMTKRwdtwZ4qhTIXrtFFgWPIxt1g+Bx27at/Mwd3dAoyBG+Gb06dIj9qBHpJPzZAyvUodAbvf97QkNKCmFGBd75oxo1wnakadClFXE175EUft9FDNktgRC80B06GIdPtOuU/oaRETuqUOT1e+QeM+DXdwEETvtGniSGyGw4rS9BN8k0E4+H+KAw6BdfGPklSNxE5SKFIwDAN/QUfnOy9CfU2ZdNrcfy81Yu7YpNyN1swh9pHM+f1AqwggUNyMCnEoM5ORCHHkqxPFnB7b32G3Qzz3SMfsqHnL7Vsgn77Yu5JBBygAMSmUh+Z/HAF2HftcU9+/55G1oE68wnripAUPppQwjk5+8G/Nm5LK/jZk8gos0p5Aw06gjMTNPzJOwWGc0U+gvPB54omYxOQ3fizVTKk3D97S9DoK271jrwqA0bGneEQTCB/q69jRqCZ1zZXRZR+qdxh13tl1FDB0F7fJboV18Q+zHn4hBqeRkSsmZ38N7+iHAvD+MZkyaAs/d/4ZIQmH1dLFMG57Eu7PZTow/GWhTDe38aeluChG5IIpKII47y/inBiBi/a43OcyWp116c+DJGqUQeITZ9YTT91uCh++J0nJo4ydAJKJwevBM33bcBKWU4vCWukzbfcGoDl2jaxdgmxWnjjDx1vqG8kUavuer0SvfeD78espsgmK/sUCJMdxPHHFyYB2nIF7PHSE0DdqoAyGGjLK8pD98i5Hx7nbEgQv6TZeGLJNffJCw7RPFKvuLR5CzXjv5D5TaxTcGxkRvrYNsarQWfaTMopyIyCULAsujzB7Sp51nPNihTyJa5V5VTeCx2wLU5gmDeRLTlICMjYV/WdthDuVXM4bU4XuFcQ7fS3Whc2FzwhdUU8sy7CzcLHhqplE0tbUaleChpkG76HrIX74BhAb58Vu+5Z7AtNAVbQCznkMkQrP+fsJJSk2pRugP3mRdlh/nxUyGE22aT7At0bQDxgEHcBgfUTbRRv9f6LKTJkG/+xrnGX8jCcp80s68DOjRF6KiTWChmjwTS10kIPX1QKPhZnZWN5leQcPz9Nefh3zrhUDZkRiGGtpmeytD8HTfOYiIMHxP/vSVq/1JZbIZccgxEGOOBhb9ZR3CabevgUMCCQMAxNhjIb//LGQ1/dpJ0O59HqIo9iGofg6jF+Sv3xnZ97H2VaI4ZfDRjuIlhu4ZeNKpmzGFufkFV7ve/k2UGZSgiTCLQAYtj8SSTrxqmf+hNmkqsOvwuJoXkfrl63VZQHHBXON/M2Mq0dOuO9VWSkimlO/3kuqaUhFm9AEA+eVHgSfhgppqgVY1kBip8LX6M2seiL4DoR070Z+SbywPtFO76g6I0Qe5Kwqeq+w7wh1jkZuk4XvBFwWx1LfIAtqZl0H840ig/27pbgoRUVKJzt2h3fUstNEHxfb+4Av3XjtZA1IAxEilBlWsF/qZPAOqm9lN3WRKBQWQ5FsvGA982UGipBQxCQ5mKZlS/olLImVKuWWeYw8YDFFQBFFUDLHjLpbJe4QQlnNj7ZIbjZkV1Rkiq9tBm3KP7S7082MMoCpkmOH5+oM3Qj59f9z7aA7k3NnQn3vI/URNlBAMSmUj5QAugy6C5arl/sdiwBCII06BNmmqMVuIpgUuwDmEL7MpgRy5QMn2iSZTSs2K2WakCGnnXAXRfxBEeQKKXLoVbZ0lF4GWmKjDAS1D+Xyfk9CME4hYTh79NaVirIMVKzd3UVcHjgnBQ/ssPPaZUmLoKJuVrcRBRwA5OdDGnaBsTzkZVU6sRUUbaMdNhGjfGWLwHsbCVpX2G1aznyLVjEpWofPKttZleYmtt5UpxG4jjWLtmXwRRESUIHEd64LPE+y+i9XzrFhn9s3kTCk3WcNu2q9HuPAvcRH8shP8XW0XkCmKEJRyOxutGXyKdL6rdrlO3e1X6dwd2sOv2t4gkroOOf9PY0jf3N9s3h2e/PX78K9//3nU22xu5Iql0O+4CvKz9yCfcTmjMiVEBh/tyI6sr7fU/AiZMUGdarSsAtr+h0L0HxRYVtMxdD3KPOoXm6+WTcjyiNtQAiTm+8y7NFEUspYb1kFu3uj8+tzZ0Kc/aw2Qqid7QYEasdvI8DtMwJT0cub30N98wbpQDUp5bYJS5klFLHfOzG2kOlPKJjVe7L5PyDJp/g587fSvY850CFiDSGqmVN+BEPuOhQgzbEkbdwK0+18MTH0MWGc9cjj51864FNrDr0IMdugTai20SP0iKUGpBiC47ye4CDwREWWZ4O8Bm+CLaF0JMeYoiPEnW7JhoiFE5l6mCTcTw7iZfa99hIkjYg5KBQUO7bLvI/0MnQOBo7BZM77zS9GlR/jtqTMMhjnXFDm58Ey6Bp7H34A2TQmMLFkA/ZbLAAD6HVdCmjMUurU9UDRejD8Z4uQLont/C6BfoxSc//LDNLak5cncox3Z0s89wvI8eAYFuXCu/7Ft4UTzIMigVFLJdWsgzdk9YqHe0VGDBdFk4vxhMztjge9EyuWFtdy2FfplJ8N7ofNMY/odV0G+8zLkF+87rBAUlDrpvPA7dZPuHYH+wA3hC1PaZEr5/15imYHP/H3pGZApVdYqdJk5TbWvfWK3PaA9Mh1ilFJrw1JTSjmZ83igHXUqxN5jrNvssaPx/6ARxjaDg0LqjI9hTkxFTq7z71wNHkbqF0mqKYWtW6zLWG+BiKhFk2tXWhc4BI+0sccZtehilcmZUm6GzLs5n4t0XhvrLLXBQ+1tM6XC15TSTr8k8CTcLIDmNVUUN63cZuqJDp39j/Un7rS8pk871/X+AFjPxYSAZs6MnCH0r2fAe/ohRibYiqXpbg5EjMN7KTYZfLSjWMh/PxJ+BV/NHMkZlpJGbt8K/YpToV9yUuzjkdVZTdQ6Bb6ZQFy1Y5NNUMxsj9svznWrAm9tjFDEWxk6as2UCgQWtPtfdNy3OPwk30qJnQLZlhrsMB+bQZlYMmHqtxtfoOGGxwVLQPDN7oTVdpYWM9vHbJ/HA+HxWOpiCIeaUv6aCEGZStqESRBnXAZtwiTbpslvP1FWjnDy5XERUIq0jtuC+vFqpjWliIjIHdGlp3VBsoJHmTycOvgzsOPmfE4tBm7Dtmi5G8Hvawo9h41UOFxU1QS2Y3dObTKvqZI9EcrKZZHXCStwTSJ/+8l4kMI+JtevhQxzHSP/da//sZqxFPd+N26Ad8pZ0N//b3RvTMQsleQag1JZRH9/evwbMQ+YzJRKnvVrA4//nBXTJuQ25fcTRSBKJexmLDFTi90W9FYCATKaPiMl9E/fhffa8yHXrzGW9e4PUVBof3dI06AdeLjR7ngzXtSZ/5w02QSlzKDL4vlR71J/77/Qrzkb+j1T3b8pEZk9Nid82ikXBJ6UlgMwMt4AWIu6A9Zpqp1m3/OvGxSMKSiENnikYwq/GLl/2HZaOGUfmdlYQOQgXqqGOSRgeCkREWWxsnLr82QFpTI4U0oUu5gJzsXNN5GTA3HcRPsXq9tH2SqFm5pSbvgCTvqUsyEdsuH9N/qTddOqe2/rc+VzldvDZHCFoe13KABADBsdY6OiIzdvhH75KdAvOM71DftEFRqXb70IrFwG+cpTkVfuOzDw2CaQCfhGkXzwGuS6NQlpHxky92jXAsm1q7B99k+WYuXqa/KVf/mfi/196cA7D7Wu6MuqEXseYLsPYQ7fYlAqedQLcDXjKRrql4z6u4rmS9Wm/pQZEBLFbmczCXwh6OFSlwHIZX8HnmzfBvnvh4GlCyFffcZY5nByJU44G9q9/wksiHd4lJu7PmpQqikoUyoWv34b/XsSka1oV8eipAza5bdCnHoRRK+djIVmHQMzTd7so2pftQwTtc6oB8BdYVfL68rvIdaglLqPSMGgRAyrU++sOvQjFgInImrhgr+PknVTJIODUq64/FxEz53sX1i3OvZ9B5+XBdWUErsMi36bTsXF//rd+D9JmVLa+UE3PHfcxf9QP+9oSJsZ1b1XnGYMg7Nk8CvnL+aN69wUZX8r1wjy8Tvs1wkpA5GgOq3R3Nyfo5Q+2boV0qYPymcfhHz5SehXnApZtwX6Oy8zQJUAWX60a170j97AmivOhP7FByGvSfOAZzJTCoOjuL6CgI4HWzNDpp5BqUSQDfXQZ7wFuUatL6BE9mOdcWWrQzAriqCUnBMmS6u0PGSRXLwA+mfvGbN7zJ0N/fvPLcEJPbi2TjA1K6xDl8Bjs486BBW0PQ+EUDO38mL8zEyrV0Rex6v83SQiKJUuDsEe0aMvtGGj/fUS5AuPwXvXlEDNK/NEt1ypP6VkxQl1uW9dEXzHM8LJsvz9F2XbEb5qnH7n6j4i/X4SEOQTOw8F+u8GMX5C6oYDEhFRdgk+n4k0RD1WGVzo3FHrqsBjt7MpO2UYtamyXx6LJuv5s3bWZFdvE2OODjxxujlW5ZulV0ZRwiEKoqjEMolNcHF4/dIJ/sCUbGyA9/RD/AE9+dpzyopKpldbXxZavOfcbikT14RM0mWqrLY+b6y3Xy9KcsHcyCvZve+dl6BfcRrk/D+ty5X2y5f+CTn9Wei3u+tP5CwLj3bNmHlhrswSJrdsgveOqyC/DApUmdlUv/0cWHfR/4ClC40npRX2+8hnppQd+fd8IwgTJf3+6yFfeAz6lWcEFqqfbawXyg6/H2k3e4gD+fFblufaRdcHnpSGzmaiX38B5HMPQX73mVG8/PE7IBcvDLweqXC7OpObXW0ltzWUos14ieEL1VIfyz98zxeEiCddPNUi3UVVZ3eZMxNY66sRZgaz1OmQ1W2ps9047SPCybLoqtSbiNROp6GM6vsibaNtu8Dj1pXh13WSlw/PpGugHXBY6F3VscdCu+mx2LZLRETNR/BNC2ZKwfP4G/A8/oblHE64rRHqMMOe5jSsLxa+8z4xeA90evtH+8mg7Now9lj/OYX1BrTNttUasDbECUadJLH/oa72bVGubLu0HOK0iy0v65dOMNr47EPW923aAP3tl6D/8+7A9eVOuwZqiiaivqkLcssm/2Oxz8GB5U2NkOZN76Ci9/Kz9+IewieltGTcOQ3B1L/7zAjm2W3DJlnE/9pPXxsP4snqIwAMSmUUYRMw0q+/EJg7G/jfH5Z17Yb46TcqByin2SoKWFPKjn7DhUYQZu7s6N5oUzNKfvtp4HFDjFH+TbX2y2MdE19WAaGOk7bJlDLJd14OPFkZmP2ifuYP4fehZu3ZHfTVL77OOzhvJ9paS8F1A9xQv/iCMqVEn/42b8hQEYNSDjPLmO9TX1d/f+owNvX3YQkShb8zLIbsoTyJEMByykpSTmgjDZsTBUXQ7nrOKKbvpnC67Uac96GNOdooekpERC1acEAjacO6M3y4uDbVV5i6/26BheqNQrfBuqCi5GK3kdBuegxCGaYWNzO4EUsQpkNX4/9VDoXGzYyeCDdJtT0PhHbLExDjT466CWKvwGzJYvRB0IaOAnYdHrKeVIefAZBfzYB87TnIbz/xFzcXauJCqupk1gWCUnLGm/7H+p1ToJ9/rDH8LWi4nvzvM9ZrEnP5L9/Ce+fVkGoNXwfysdutC/60v86TQTMbWl5bHzQ0Ty3Ob1MqhWLDoFQmMQ/K6tC64D8EANqkqdD2tY/m+tkVuQYC4505+54t/aGb4t6G6NE38KQ++qCUbKiH/HqG/YsuUlmllJCNDZa6YtpVd1lXcgpWANYsE2XI3pa3X7Hdl586bM4mKGWZ3S3cUKwIU/SGiKVguGX2vUZrm8paha6fBNqt/4y//kCku5BOswH6UuqFOrxUzQxSTww8DtlKIooTu1gzpRb95X4fAERpmTEUNNY7fw7t1M68LLbtERERxSoVsxHHQXTsZmRITbomsNBuopRI2wkKvsm5s5N3EyiGz9SfNOBQ+Np//uSiZIdoUx1TEFNUtPFno5nt0Q49wbKOXLUcqF3nvJHVvkwvtWSGi/Ml6fVCf/wO6B+9HnW7/ZRMKYt5RtKFnP2D7edrGX7ooz90E/DnLFeTC8kfv7QuiOX6N7gsiHoN47XPvKLoMSiVSXwBDH8qoA0xZE+I/oMAs2B5K19KadAfjOMBz3fAjGYYWHNnCaw41XJS16/fDv3bTyHr7GssWYoKNkQ++Mmfvob39EOgf+ULRClDMkO4+L3pZ4yFfvZ4f1aV2PMAiKDhTOHSltUi6Gq6bV5vm0KUanBn80Zluc1BWt2nw4xtAFJTdNEuU8oXNBNKwFfs9Y+kNUG0roLngReBnXaNfSORTviUTDfrzkNPQqRaZ6tj18BjtT+LKIbTbawNPI6U4ed0IhfrkIhY7/w5HTeZIUVERCp1dthkSdHQqoRSSzDEOvxQPZ+MkTj1IvsXYvlMu/pmrnZqV6P7oFRCtVISEDp1g351YLijOPT40PXNSZQKlMw0N+dLs36A/P5zyBf/GWNDjbq1lue6HnS9VO8q68jynhVLQjLDIr4/lqDUutXWbCn1M0tSHbGWiEGpDCLNei/mc5ssG3HqhcaDHN+Br7EBctli6Fed6W4n5pdFgorHNQtRzu4g//Mo5D/vgv7wzfYrKAc8N9OP6o/cYqz7lJEGrf/zLueVGx3u0pj7Uw7W8ptPjAdOX8BF9tP5WoYcKoE33W4mQafPzqadlv4dblhjtAWmY/lCUL/4mqyZUqK4JHA3Shn3njTxpE5HOLkSe+zv8D6bQ7/6u1RT6dWgrRq0iXSy2atf4LE3wu/IIVNKO/l844EaJHMj1hN5JQhm+d0XhgmiEhFRy5OKyVEyPFPKlnr+EGNQShx1atzNEO062r8Qy2fqK3kh//jV/nUzKJWqouE+oqAIYreRxpMN1gwp0a5T6BvM302+c6aUXQ0nqZz/x1zjSZ38BjCuL5RzcTn/z8B5aNAoAun1QjY2QH/sdsiP37S8pjvN5OdA/vOu2H4GdahgNk6MlAUYlMog2u77+h/LTbXAov+FrOMvGmge+BoboU871/U+hPk+Dt+D3FoHOfvHwJ0Dt+8zM5qC6k/JbVshZ/8U8tlKX1aO1L3Qn3kA+ufvhd2+/wsGNkGFSMFEu6CV0xew05enWs9KLW6u2xzEndJW5/0RukyZvUL7v8ONB3YH9mi/1J2GqIXj+yKUUoaffa8gzuF1QcTY44DCImuByni+3CJlErVyKPhtd6KopE1bMi2LleClGkyMlH6uBpoiZao7BRbzCowA4dT7ImwgyOL50a1vUn4mccQpgeVqgVEiIqJE15Kxm2QlCzOlLLMpxxhU0/YdG39DchzOJWP4TIWZ3W+T5S+bmgLnoanI9A/Wvbfxv1pI/IRzgAGDQ9fdaMzQZwkcBt8YjTSDday1bYOtX2PZligqCZxjKrMxisF7QL92EvSzx0P+8EVottbmjUaNqXOOCKkxJTc7DBlcviR0mfqZdOkR+rrSb1wX8KeoMNSXSboqxZ+3b4MMqqeiTVLGzpoXfNFmPJmZUvPmQDY1QbTgaK/+6K3AH79ahmuhc/fYNlZYDP3+60IK0gOAfPYByPadIdq0NWZw+OIDYM8Dw2zL+NIT/3c4UBiUzRRp+J5dBpJTJo5v+tgQ6t2WFYEDd+Pf84AXHgfad4ZmBsuiOSlTg039d4M27YHANLoKoXmMNrvddix3PMxAlBpUsyuO7SYo1aUH8Pc8V7sV/XaBNuYo6zJPLmKeWyTSyVVJqf1yuy/UoOCeOO1iYP1aiI7dbDcRaeYaIQSw6whgy0agxuGOZWBjgcetqwK19BI981BefvgsPTVTyuOBdvu/AF2HcJqumoiIWiab8714aBdeC/nRGxC9+wfqm2ZhUCrmTKlO3YAlCyOv55ZT1n0sn2n7zsb/q5cbNVst9TiVc4poZ49OAFHTMeQcUlNqylqY1xCWoFTQ52H3O1PPlRvqo/45bWct3LjemoW+TUkQUNon58+xZinZMP9e9MtPMWaANJffdkVgJU0LnOfaXTsr58XaqRdCv+Yc6+vqNUk2/l1mgZYbkchAQvNAq2gNvXa9EZRShn5pV91pnWLdDEpFmSUilSADlv0NdAkzC1pz50vDlR8FDmDC/OKJVlGx4wmKP7NqXKAgoZTSse6Xf1aKpibIGW9YX1u/BvoTd0KM2Adix51D32wblHI4eObm2d/xcCiSKLdtBczPygxKRTH0URxybOCxEECHMJ91bm5yg1LmF6y6D9usrchfvKJDF0iXQSnbL/t4xqNHOuFzKhpvE5QSnazBJ23oqFhb5ec564rIKwFAW+UOcUlp8oJSlW2B5YudXw+aUTDS9M5ERESJICrbQhx9OqT6HZWNGRnq0KsovsO1K++A/HoGxC6hM8rFxOncN5bPVK0rufB/1vIEZu1YoaVnWFcvm3qvkagZX8E3ru2uK9URIBHKiNixTN7UsSuwdBHk9m0QSo0uqV57qEEzFzPsOVLqqorBe0B+95nxxO4Gf14+YA5TbNsh9HX154613imFxU81w5gzKuhP3x9Y2LWnNSAFALnOBz4xeA/H11BSFnic6Au+ZiDmAvBuAgtqYfStdZB//R5SN0wqQSI5ZxbEkD2t25j5PeR3n0G/+xrYiiIoJZzupLggN2+E9/RDIF99yv2b8goir2Pavi3yOqa6ze7XNTU1Qs77w1q00iajTAgBMWGSfcFIUzQnITZfZPKHL9y/P1ikbCWnky/lfdrlt0DsczDEwcdE3l9rh+GA8VLvaKonS4k+IY+0vQyffpuIiJo5deh7Np6nx5gpJXJyoe15IISvflP8HL7PYxm+5/H4A1NyaVA2lzLkLJZZ9eIl8vMhjjnD/1y76PrI71FvuAZ/HnY3q9UsJqcZCMNRg3qVvhESdZsDwwkBYJ1SSDzWcz+7YXc+4uQLAk/sauT6JvvRrn3AfiSA+nMzUyopmCmVYfzTjio1UbRLbgpd0a4wcH4BxO77QoxzvoAWg/eAfMpXn4XXX6EaG6C/9QLQuhraiL3dv2+7ixpdSgBEf+x24I9fQtdRsq3E6P8zAkeFxcCaFYHC5eHU2wRznIJS/XfzZ2WJYXtBfuti+z76RUbWl/z+c9fvyaSDuPz+c8h3XrbWXHJon1nrzWszLS08nuhOGhN9ghnrF7c6Nr7HjhCuZxFK0kFDDQiuWx14nPDPK0L7s/ECgIiImg/1/H7lsvS1I1aZMtxdd6h5Guu5aGk5sGYlsCwo29q8uZyGoXsmbe8xkHv9w31QrL1SBD3ohqyc/yeEMrmM/uxDkGot3BhqSsl/3et/LHLzjOGGSxdBrlBmiDYzpTp1i/1crKgYcuMGyLdegAgqkyI8HmDHnYE/foXcWhd6Ntto1pd1GPaZqFpa5Ihn4BlGK7Bmk2iX3WJfzyQ4q6PnjtDufxHaMWcECvLZEHn5gWyHxgQXaWwOZv8I+frzkP+6B1JKeO+9Ft77ros8U8PWLeFfR1Bqql1ACoD86zf/Y7HnARBCQDv4aMhtLjOH7DKMHNJMRb9doJ0/FdotT0CcdC60My9zt49YxTPLXKKZMwFu8KUF5+TEdodL80QXGLL5ohVm0fdYuPji1m5/Cto5V1kXxjw7XZKCUupJgHo3KtYTk7IK++WRUq6Zkk1EROmk3DyJ5mZhxlDqLanlMVLOYSKeWItU+wM1wZlCq3yBQ3WSoDSwO4fVbnzUyFxTM5UAoE114HHw+aBS9kHqujUgBUQ9fC+k+LiZWVZQCPnJ26FvKCyO/dwvvxD6sw9Cfvou9OvOD3lZFPp+tjCZUv6ZuI86zdpu9ed2muSJ4sIz8AwTHFASPe0zGIQQ1sLRy/52f1FtzkjBqG94y5cAv/0EzP4xtiFiwQfVDfa1mlTy7ZeMBx26WH6fos8Ad/u0C0qFGV4mdhoE0aYaIifXMusfAOOLIZESkSkV/MWaKHZFzt3QHDKl1GGylvVt1q0MLfYe1f4jEBWtIXYeat1PrAHCJAWlLBMuqDM+xnhiou31D/v9VLeL0BCmjxIRUWTaVXcaDxI9rN3ppkq22BLD+XIyOAUOYj0X9dWclb5Z7uTShfCefgj0R2+LbXspIKrbwfPASyGTzViGpwWd91iKuM+bE7rRKIfv6ZcHZjIWJ54LYQ6xcyrTsX0btGPPdNyeOPp0aJfe5HwjXZnpO4QZcNtqDUpZZ+I2rge0fQ8xsuNM6jWzQ8kWqWb6U9QYlMowlqlUI42rVgNYW22ivk7M+i3hZqFq5iJmPgHGrGEm30FbrlrufifBdcAcCojbqmhteWpb1NyGtDvIRxHRF+o0vGp6byKCQbEGQpQ0YsvdHYU44DDfPmI82QhToy0sTYP88avQ5dEEpaKpteVme07UE41My5RSd6FMCBDr8ESx7yEo2nN/aGdNBpTZA8X4kyGGjIJ24XUQR5/uW1fp88yUIiIiF0TXntAeehWeW59M7HbV770d+iR026ngeuKXZHO6CRXreYV5Y2/WDwAA/drQTJxMpV5DaLc8YX0xqLC5VII6+u2TQzcWR0KD6DPAX3NMfv6+/Tpde0B06QHtoVftN1JcAtFrJ6BH39DXZv8A+IKGtnxBKbl4PqRavN1p0iN18itfppRsqIf89lPbzctXn3bedxRcXaM2QzwDzzCaGpRSizDbrqwcWHeNYraKZX8DCCqm3tK4OKjKT95RnhkX4/rVE91t3+OxBgGA6Ip3q7OXAEBZaIBS2o2Xrw+tbSV//c71brWjTg08PnYitCl3QzvnSoiBQ8K/sV0n465h/90ghu1lu4qIcVYSoXzxCIdgjzZ+ArT7XwR23CWmfcSeKaVFF2y0CXqI/HQEpTJoKKWP9uh0aHc+Yw3AxpgpJQqL0Obym6ANGgGoRUnLyqGdfjHEjjtD2+dgaPe/CDFc6a/MlCIiIpdEboznDpG2+3/jAQDaEadEWDPziN79A4+HjU5fO5x+N7EODSsu8T+UNtlCYvRBsW03BcTogyBOvQjarU9CBN3cFUHBHfn7z/DefiW8px9iuy39zqvhfeAGeO+aEjF4Yvt6QYRzXt+5qsjNhdh7TOjrvgmpbGdH9nqB/ruFLNauvtt4YI4A+eVb6DdeHFhB/X0q5SS0Uy4ILPddN8qfvnZselwTF6nb+fx9eM87CvozDyRke9mCQakMI71R1HlSghLaRJdTr6uiuZhublwEiORPSgZMYz28V5zmvLKPGLEPxBmXQbv9qdCgVBS0g4+yLigsDs1uUWbDkE1NkKtX2P9cdtO7htv3o69Be+gViM7dITrvALHzsMgZJKtXQHTtCc+kayzj0S1izc7p0BVi7LEQR58B6VCLC/BlGcb6mcc6ja9TEXl1KKT6xWl3MhRHUdCo6mApw31jniEmiUEboXkgyiqA1lWBhUkuDC8KCq2/w0iF0ImIiJJMO+xEaA++DJGFmVLqBb4Ye1waG+Ig1vO9zjv4H+pnhdYCFeNPjrVFSSdycqANGw1hM9RUtKk2Zuzzjc4RNR0Bpb4tAIiTzrO+aeb3wJyZwPo1CCt4RvPKtqE33UtKrc+V83hx9OmhIzWUc1nt0puMm9F9BwbeE1x6xJMD0cX3u1OvT1YsCQy3a7TPlBKtqyD22N+3ju9nCXf9mKhz1sXzge3b/ENFWwoGpTLM9p++8T8WJ54bfmWlqF5UF5lBQ8NaJDdZSzUd/A/1my61zgrmI0Ypszt06QExYRK0wSONKW3juIMmlCFHgG/8d/AwvLpAcXX9uvOhX3Um5BcfxLxPdV8iKLgjF/0v/JuUYKqsXW+/TqzZOR4PtDFHQ9tnDFAe6Lvi+LON/33DsABA5MUYlCoojLyOHc0DYVO/SPTeKfBEDXrYBfdSNWQsjiCpXyraqh7LEhyUsp3mV4vw+yEiIkoxkcbZ3OKinmvYZbOkg+VmV4zD98L9PkrL7SelyhKi70B/LbCQbB+PB9rI/ezfuHxJ+A3Xb7U8FUKEjA4ISapQrp2EEIEsJ3OZMiJC9NoJnguvhaYEBOX3n1m3p+4vqG6zfsVpkCuWBIqca1poIXwzc8oMtoapqSUOOdbxNbf0D6YHhjb+8m3c28smPAPPMGpNIM2MziaYONI3REtJsW1xohlKBwRmaQsiF/7lfyz2OsgaHPzf77G0zFlQoUI1KIUVvi8GcxYQ9cszAdkt2ljfgbZ9J6CoJPzKDp9VVJlSai0A5X1il8AwVW3UgdDufBraPgcH1o21PlOsQSndC7GvL8V5p12hnX0ltEtvtn4JqsFMu6BIcYTPM1EScYLrYpbJhEpEcfxI1N/Jtq3O6xEREVFY/kzxjt1iLtuQMOZMajsNCixL9M2u4ybCc9ezCd1mWjgU7w5Xl1a/71rITbW2w/Tk/D+hX3xS6JuU82MxZE+gODhTynquKoJGXwi7iQDClcFQ+6BNf9SvOQfYvt15O7lBk4OFCUrZziYYJfnyv/yPxX5jw6zZ/DAolWHaXHGL8cCugJuTKLND/NH+FlzoHGtWRl5n5bLAY7XYtkLsvq/6zPpiomcgCa4rVbfZMSvJksFlV3sqSlqfAWj/wgx4rn0Q2k2Phq6g1pxy+sKPIlNKU7MElbsWYvd9jAe+gKooa2V9Y6yBl1jrOjU1QlS3g3bv89DOuwZil2EQvfo5B8fsPpsUTS0rchJQ+yJSnbtEUOu9xVME3hQpsKX8TuTi+fHvj4iIqIUSrdpAu/c/0Kbcle6mQJtyD8RRp0EccoyyMLGXvloG15KKhhixT/jXHRIl9ItPhH71WZC6F9I3e7L83x/Qb3GYHU+9Cax5LDWcAMQ28ZDLoFRwPS0/c2Kr4KGFQCBzyyx0Pmem877U2aMToUOXxG4vw2VetdsWrmiPfVFb+TSkiylhtUtugv7i49COdVl825Rj/QNraeTSRdAfuSW6NzlExsWwvSD/85jxZMXiOFvm4zTTXlCGkn7vNKMNQ/YMXVe58yBGJibjzlNaDrFlK1BcCs/jb0D/agbkJ29DO+YMoHvvwIpOwbho7pi1U2b+U04gRHU7aHc+45ytFWtQyk2mVFFx6CyXvr8hEdweJY1b7HlAIBXX7mSoKYo6cvGIdWhjqqmzjsaawaYQBxwG+c7LziuoQas4ZpUhIiKi0OyWdBHtO0O07wxZr9yET9U5V7bp3hv4eobjy+L4s43haaXl0CeOs764ejnkE3dB/vAFtHOuhP7gTc77UQNI3XqGljoJdzPSKfgULiil3hAPrjflI9f7RnjYnXMGZ0qFC0rFKbiGlNh1RNL2lYkyIij1/vvv44033kBtbS06duyICRMmoG/fKDKFmhlR0RpwMR2k6L0TPNfcG/0OzANAU8u8ANOvnWT/QutKYL3D0LO1qyxPtXv/A3i9li9eMXCo9T0duvhnOkT/3YBli4AOXYHZPxrLSkptAziisiZkGWAEPux6hfz+89CF1e0h9joIctE8iNH/Z/8zxUnbfR9gd5s7K6VlgWGEqmhqGqnrBmV62abumtTAS7tOgKZBG3MU9EdvC7s7VzPgdegC/O8P6zKnIIayPalm3NkFpSJlsrWptq1nFrVE1JRKAZGbB+3u54x6XQm5oxlh+KpaP2BDC578gYiIqDlSzw3DDL+KlnZtM5odbc2KsC8LTQtbk9isRRU2IAVYAz9bt4RmStmcj2uX3wr9pX9CU2rIWt8T5oa0JShVZL+OmSVvG5QKSuQoLU/aqAH9iTv9j7XrH4Jwam8zlfbhe19//TWeeuopHHbYYbj11lvRt29f3HTTTVi71iE4QPHzR31bZqaUSi0mL4bv7bxi0J0VUVQMUVoGANDOn2rcQei5o2Ud7ezJgcfnXgXPrU9CO1wZX61LY9rf1pUQxynZbm3b27chUi0ntX2du0M7diI8V94R+0xrMdJOuRDo1M1SgBxA7EGpaAIF6lj1HXeGZ9r9wA4uAtx2KbtBtJMmGT/XGQ4pyU7tUGfPsQuyqJlBQX3IeH9f5y/SaKS4H8RDlJQl7E6r/OWb8CuoM+4lIvhHREREGUM9D5bKJFHx0G56DKJ954RsKxPI760FzsURp0A76wpoj70esq4YtHv0OzB/B+r5dkl5SFBK2ASGRI++xvWMOipDfV3zOM/0qGbDO5xXyvenGw/cZEp16u7bVuCaTAwdZTwInkkwWr8rM4xHcc3XXKQ9KPXWW29h7733xj777OPPkqqsrMQHH8Q/ixg5yA2aSSDLyd9+gv7obZCbI0+dKTcFxvtqdz4Nscsw5UWXOwz6EhI7DYKm1nAyl1e3h+fxN+B5/I3AbA5qsGXrFmiHnQjPrU9ahtgJm20BcDyY2lILhaeYqKqB55p7Q8enR1HTyFIcM5qi9OrwPXMbboatuRi2Jdq2h+eae6ENHhl5e+rvWS1kbjO7m2jfGeLoM6CdNdmSiSX2ORjioCMgjj0jIQW4xbDRxgOH+mjNVeSTRiUo1aVHUttCREREaeQ0Q7QL2vUPA/12gXb7vyCq7Ec1ZCvxjyOtzzt2hdh1hO2NbXHaRdYyGy5oU+8zHiiBHzF8L1eZUq62P+Yo+xfU7Ue6OW4XlPK9X5rXzNt8ZTyUEU3CnJ0w3mQP5Rw07KiQZiqtw/eampqwYMECHHrooZblAwYMwNy5c9PTqJbA/ANNdEG2NNHvvdZ4UFhkyXyytWKp/6FZJFu75QkgrwD6xScGXjvxXMhnbNJyBwyGduqFsTfWoeaRyMmBdufTQJPXeSiZ26h5RZuUZ0fZCp5WNdb6QLEGpcyUXRdZUNJpxsAYqZ+/6LxDIN7pMBxN22dM6MJO3aBZCunH2aYeO0K77iFjmGoLIk4+H/LX7yBGhMmE9NGOPysFLSIiIqK0aNUm5reKmg7wXHBtAhuTOUTn7tZ78916Oa+bk2vc/DZn/nazfV/RbuHxQLvjaUDqEPkFkHrQrH+xTjwEAK2rgPVrrMvUGbwjXBvZZWn5A1nm5GBmUGqbUmPWfF+8E4j5RkU4Zn01c2kNSm3atAm6rqO83DqrWHl5OWpra23f09jYiEYlEimEQGFhof9xNjPbn/SfQyn4l+2fmcXaVRF/HmkWqt6hT+DzrmxrvDZ8NOTXHxvLqmogK9taakmJnYfCc+7V8bUxaNyzJXhR7jxWGwBEsX1NqRCl5Qn/vcbUN4MKm2tRprWKnYdC/vodtMNPcr1fUVDg/4xETi6EEBC5uXCY6NbPM2lqzJ+Z0/s8dz5jZDipv2Mh3P8suXmRv0CjbLNoH92drUTuO5XU/qoVFEJ7dLrzymoKdseuGf1zUfOVsu9/ogRj36VsovnO+dlfrUT33pZzZeHxhP2MhNdre03iueNpyN9+hv6Uteax5XpHqU0lPB7rfl2c+zoKDkgBQE6OZXvauVOA5X9DDB0F7+WnWtctKAzZt8jLM37OpkbjNd91pNh1OOTP3/jbDMDInvI2xT7bta9ciSgrDzmutoT+mhGFzm1TAx0+/OnTp+OVV17xP+/WrRtuvfVWVFVVJa19qVZTk9yUUL28FGbp5batWkErSMC062lkxunzcnNR3S78sLUtORo2AChoXYmqoHUbT5iIlb6gVFWnzsh7+m1s++5zrL3uIhSO3BeVk6Ocsc+G9DbBzNUqGXMkWkVor2pbx85wk8+TA4l2UWw3GtH0TSkllirPo27TjQ9CShnVgXj7ivYwv5JKKypQ5tvnivad0bTcfnbEwhF7obJTdMGazaddiNon7kbRPmPQxunn8i2Xuo41/QdBFBSislPnsD/P0uISyLotAIBWVdUo8m3Dci9KCH/acLJ+z062XnEz1t0yOS37joXb/tr42H8BALkdmk99CMpOyf7+J0oW9l3KZNuuux/1M39A+eFGFgr7a6iV3XuhccFfAIB27dtDhJnRek1eLrbbLK/p0hXo0gWrPpyOpmXGeXfJIUeHvd5Rz3GramqQG+P5pV3eVm79dtSoKYXDCgAAM49JREFU22s31v9w04lnY+MzD/mfl7SpREXQvrdV12AtgFwANe3aYen2bZAASnr0wWZfUKpt9x5YbrZfQ8ztX1lUjEYArTp18Z//m1pCf01rUKqsrAyapoVkRW3cuDEke8o0btw4jBkTGOpiXuCtWbMGTVk+zacQAjU1NVi5ciWki9n3YqWmSq5ctACivFXS9pVK9bN+xIoV4WeP0Jcb4bh6T07IunJ7oK7Q2tqNECtWAJ17IueJN9EIRNx2tLYWlmB7FNuU292lhXo7dUt4WxPRNxPdJjtySyCddvO2bajz7bPJppYTAIgDD0fj+AlRt00OHgVPmxrUd+3h7r3nTwMArFy5Mvx6uwwHvvwQALBhyxZstNt2foF/SGMqPlOLHjvBc/XdQHW71O87ClH3V813VyuDfyZq3lL1/U+UaOy7lBXadwXad8X2NWvZXx3IE84FfDOUr1i12lrfNYh3m11ICli5odaYqe/aB+FpagIW/Q/buvYMe73juf4heKecDQBY48k3rr8SpPHv+Y7nq3qVdWKpLfUN2Ba0rr7FuFHcWLsBS2+9CtI3RG/zrz/411m1KVDTeM3SJRBabJlSTVuM7dTqwn/+3xyOrzk5Oa6Sh9IalMrJyUH37t0xa9YsDBkyxL981qxZGDx4sO17cnNzkZtr/8vO1l9WMCllcn8WdRaKbVuBLC6mJnWv9XmEz03WbTYeFJeGrltSBjHqQMhNtZDtO1uK2CWDLLFpQ7j1C5VC55oGBI/DNvUZmLT+E0/fTMXfp1SKmkvNE9inx2O7vthnTGzt0jSghzGrX0J/rk7dAo8bGwPb7jMA+HOW8Ti/0B+USssxr8sO6dt3lJJ+LCVKMPZZylbsu5RN2F9DyVaBmqNSycq3XdfhWhxCWM+9fTNQh/2sazoGZvlT3x8lcfAxkG/+BxgwGJgVCBo5bi+49q3HE7quGZhbswJyzQp/G+ENJMJI5ca3983/wHP2lTG1339un18Q8tm3hP6a9tn3xowZgxkzZuDjjz/G0qVL8dRTT2Ht2rXYb7/90t20FkH+8Wu6mxAT/YsP4L3ohMCFultmYbpC+5nstOPPhufsK5M6dlc7azLE6IMghoyK7o1KwMU//agN0alrbA1rDuxm3wOAxfNtVxcVsRe8TAYx6v/8j+Xf8wLLlRMFS+CKiIiIiChOorgE2tV3Q5v2gJHtFIZ2xMlAcXS1YsPuO4qaq47b+L/DoZ17NbQzLnX3huDAml0tKLsZ+zw51tn+1ODWL9+627edet/ETrFODJXl0l5TasSIEdi8eTNeffVVbNiwAZ06dcLkyZObVY2oTCb/nAnsdVC6mxE1c2Y8/e6p1uW6FyI48q0yi7yHGSedbGLX4RC7Do/+jW2qgI5djYNmuJn4WmXO7GriyFMhX/ontHNivGsQrVyb2feyiFBnCdkvMO5dbt3if6ydcA7kq09ZAlhERERERPEQvmz4iOvVdIR217PQJ45L+sgSt0RuHjBwSOQVTcHXCXZBqRyboFRTI9B3Z6BdJ6C4JGQ0hlz2t3+2Qbek1ws0+MrIuJg1vDnKiKu2Aw44AAcccEC6m9Ey/fwN9CfuhDj1ouZR2b+pCcgLE5Rq9P3B59kcZDKc0DzQptwNQACzf4Kc8SYAQHv0NeMAuXg+0NQEkcA7F/HS9hsLufcYS7AlqdRgo3qXp+eOwP/+SE0b4qQ99jqg69bPbOb3gcet2kA7/ZLUN4yIiIiICDCyqQqKAqNQMklhsdGuXv2c1wmumWVXQ6vRvp6v8HigTbsPgE2G1+aNUTUVALBxQ+BxFl6jJkJGBKUoveR3n0FurYNn0jXpbkr8mhrDZkFJMyhll46ZBcwsMDlgN2hnXwl07Gp8KeTlAz12THPr7KUsIAVYf/feQL0x7aIbIJ+8G+jTH/LZh2zemDmEEI41sPyvExERERGlVSBLSpt4eRrbYaXd9CjknFkQOw91Xik4M8ouU6q8tePbHUfmRBj6aC/wOYr8ghjen/3SXlOKMsTsH9PdgoSQM3+APuMt5xUazOF72RmUMgkhIHYZBlHV/KcIjYo6Plwpgi9ycqCdcSm0PQ9MQ6OIiIiIiJoZ5Sa/GLR7GhtiJUrKoA0eCeFUkB1wlylVHKZcihOvN/I6wczrU4eaxy0Bg1ItVdBYVzF8rzQ1JLHkk3dDvvAY5IK59iv4MqVEbvpqSlHyWAozeh1mJ8zGgOROg9LdAiIiIiKigCwdeQIgJAglbGtKhQlqqe899PjAE3NUTjTMelJprHmcbgxKtVBi1xHWBUk+qMjt26DPeBNy3ZqEb1u75Z+hCzdvsl+5IXtrSlGUdPs7FdrJFwAAxAGHpbAx8REtdCYOIiIiIspM2pGnAgDEvmMjrJmBQobvhWZK2c5CaDdKpUIZ5tdgX4cqrCyueZwoDEq1UOKg8dYF27cldX/yxScgX3gc+jVnJ3zboo3NTI0F1vG4cosvSNXISHSL4W2yXSx2Gwnt9qcgDj8pxQ2KQ4fO6W4BEREREZGf2HW4cU595Cnpbkr08oJqN7kcRaNdc0/IMjFkT/9jGUtQynxPNmeexYlBqRZK5ORCHDfR/1xu2xr1NmTteuhffgjZ1Bh53S8/NB7E8odqbqN+O/RP34Ws2+z/o9Wm3W+82KrSsq7+yduQTU2QjQ3QP5gO/cLj4b3+Av7RtyCiup3zaxWts6tguMdd+jARERERUapk3Tm1jwjOjHJToDwnF6KgKHRbuXnArsONJzEFpZg0wdn3WjBt9EGQpRXQH7kFmP0j5OZNEKVlrt+vXzrBeFC7HmLMUbbryO1bXUeeI+7vtsnA4vmQ/344sLC8FQBAu/lx6BPHBZb/9DX0n4KGZy1eAJSWG49b8B99c6dddgvkwr+AXYanuykJIwYNh/zv0/Ypw0REREREFLt6F6OGwiRiiLx8Yw69TbWW5VL3AvX1EIWhwSy/xuYxEVc8mCnV0hUFqvzLN/8T0ybk1zPsl2/eCP28o6HfcllM2w2xeH7oMl+tHeFxmJYzGCPRzZ7ouSO0/Q/Nyrs2TkR1e2i3Pglt6v3pbgoRERERUfPikEShPfxfd+/3XVvKN1+ArF3vX6xfeSb0SUdD1q5zfKvkSB4GpVq8ImWqy6DIrmutbWo6AZA/fmk8WPS/qDcpF8yFXLwg4nq2MyWEY0bBW3AkmrKTaF0Jkc9gKhERERFRQnXsars4ZJifEyXhQX7ydmD5utXGsu8/d34vkyY4fK/FUzKl4ImxOzhkKcm5s+2XSxk2i0XWbYF+86UAAO3R6QCE/ewHOw+Nuql+hSWR1yEiIiIiIqJmTfhKwoRd5wTnCbvk0kXh3xwu4OSbiEskqORNNmKmVEunZErJn76MbRsOheFEK/sMKjQ1QkoZ2K/yGACwMZDyiFUroF9yEvR/PxK6273+YX1+7hR37QWYcUJERERERERhidEHAe06QQzdy3mlP2cFHgdf2wKArju/t4E1pRiUaukKCwOPvd6Eblp+9Lr9C3NnQ7/oBOifvgvvbVdAP2Ms5MqlgdeVmQDlOy8BmzdCfvpO6HZKSi1PxcDBEIN2j9ywbr3cNJ+IiIiIiIiaITHMCDKJfQ4Ou5523ER4rnswfFLDwCEhi6SuXFvrztfZ8rvPjP/n/RG2Hc0Zg1ItnNCsQ+9kfeRpLKWUkL40QwC2kV/9208d368/+yCwZZMxi97/jD8+fYqSDqkGpbZsdm5IcWnIIrlmpfP6PtpB4yOuQ0RERERERM2TOPEcaBddDzF+Qtzb0iyBLV+mVGNTYNHqMNeoK5YY/69cFnc7shWDUgTtnKsCT9auCruu/t1n0C8+EVIdTvfHr6H1o5Yv9j8UY4+DdvENQGm5sWD92tANq+mKDdsDj9WhfMFsglLa8WeFa76hQ9fI6xAREREREVGzJHLzIPoOjH7iLDtqzSgzYaMpkMQhP3nbOfmjYzejPXuPib8dWYpBKbKkG8qlC8OuKp+40xhO99VHluX6I7daVzSznapqoI05CqLPAKCgEE7E0NGBfah/sOHG3+YXhG6nWy9oF10fWNClR2jNq7LIheyIiIiIiIiIIqpuF3jc5MuQamy0rCJnfW//3vIK4/8uOyS+XVmCQSmyzoQ351fbdeS61ZAbNzhvRKlHJZcv9teAEkNHBdZxmKXPWFHpivVKptSyv53f4jSDnxJ0Er37Q3tkOlBVE1jGIudERERERESUAKK0HBgw2Hhilrlpsgal/MGqYL5kDlFYnKTWZT4GpcjgyQEAyK9mhLwk//od+hWnQb/kJOf3+4bfyT9nQZ96buC9Pyoz+oWrD6UpASZ1+J7T6jc/7vxiZXXgce16CCEgRh9kPGeRcyIiIiIiIkog0auf8aDBF5QKKm4uiktgyxxhFGZUUXOXk+4GUIbwBiK3UtchlCFv+u2TI7/fDGp984llsfg/pah43Rbn96vpjUo9qhADh0C06wRR2dZxFaEM65O//WQs2/cQoKQMokcf520TERERERERRSvXl6TR6CtF47WWoZH122E7zmdbnfF/ETOliAKCxr+iUzfb1bQ7nwlZJs3ZA3yEOr5WhqkP1RCoI2WXreXf55mXQTs8TMaWqUdfY/3zphjt0DRoI/aGqG4f+b1EREREREREbvmCUk6ZUti+zf59ZqZUYVFy2pUFGJQiQ/vOgcezf7C+1rrK9i2irCLwPnOdhX9ZV3I5Nlb66kjpzzzguI446TyI3DzH11XaZbdAu+d5CF9wioiIiIiIiCgpzBn4zJpS3shBKal7A/WUWVOKWjpt0jX+x3L+XOuLvmF34qAjAuvf/i/j/yNONhbM+8N+w24jvkuMWf/kFx/YviyOOhXayP3cbQtGEXTHcbtERERERERECeJPnjCDUsGjhOyCUj9+FXhSwEwpaulaVfofyo9et7621ReU6t0f4ujTIU6+AKKijbFu7frA+7xeoKaj9b0R/riEGdTSrF1RHHWadcU8zphHREREREREGcg38Zc/88lNptTjd/gfi9zcZLUs4zEoRQBgKWweYquv+FpxCbR9DoY2Yu/A+8xZBgDIl/4JrFxqfW+4WQQKiyF6+t5v/tHmG+uL3v0tqwYXUCciIiIiIiLKCLm+JIqli4z/g2tKKTWUyYpBKYrMlymFIpvhcCVl/ofy47dCXg4X7NIuvQkob2U8qV1nZFrV+yLIFa0t2VvaocdH324iIiIiIiKiZDMznUrLjf+DZt9TZ7s3iSGjktyo7MCgFIUlmxoDUV27aSrDZUIFU7KqABhD8soqAs/XrAg8LiwCtm/1Pw3OnCIiIiIiIiLKCGYwykyyCM6UagoNSsHjAQCIw1zMLt+MMShF4a1cZvwvNNui5ULzuN6UdvolEIP3CCzIy4fIyTW2DQBrVlqXb9sauhEiIiIiIiKiTGJeKzc0GCOAgmtK2WRKoanR+D83J7lty3At+6eniPRXjFn2IPXoAlDXPgC0qbYsExVtgKNOg/zhC2OBmeJYUgps3gi59G/juV1GFhEREREREVEmUkcQ1W8LyZSSZgBKXdboW5bTcoucAwxKUST+7KU853V2Hgb8+q3/qXbDIxBt29uvW1YB7LSrkR1VXGosq9ts/G/WripkUIqIiIiIiIiyg8jJBXJyjGF620ODUvj5m9A3mdlTnpYdluHwPQoQNt2hqsZ4afwpjm/TJpxnXdC60n5FAEIIeM6fBs+kayCEMBZ26QEAkO+9ajzXdYd3ExEREREREWUgM1tq2zZ317TSt47H/Yik5ohBKfITI/byP5bmH9Hvvxivtalyfp+Z8WQ+zw2TVWUnJygyvGpZdO8nIiIiIiIiSqcCo66U/vwjkHaFzYOZdaeiKJPTHDEoRX5i7PGBJ+b4VjPgVFKWvB238DG0RERERERElOXMTKm/foP86evI65uJIFrLDsu07J+erMxpLAGgsd4oxmbWe6pqF/697TsDAMTBx0S/3yULrc/7DDC2NWGS8f8Zl0W/TSIiIiIiIqJUUYudr1tt/N+2g/P6vrpTooUP32vZFbXISvljkD9/A9F3oPFE04DikrBv1S65CfhrNjBwSPT73bLJuq0zLjX+331fyCF7Rj8ckIiIiIiIiCiV1KCUWcQ8Pz+w6J6p8FxwbWAdf6ZUyw5KMVOK/PyFxwHIbz4GNtUaT3QdIkJKoSgtgxi0uzHrQLyUGlUMSBEREREREVHGyysIPDZrSqnLfv8Fsn574DmH7wFgUIqcbK0D6rcZj31D81IlUgCMiIiIiIiIKKP4huMBCGRK5eVb19m+TVmHhc4BBqXIgRi+lzGVJQAUFae3MURERERERESZ7NfvAo+bQofvAQC21QUem0EsT8sOy7Tsn55CmTWhikogF883Hs+bk9RdapfenNTtExEREREREaWML/gkcoOCUmo9ZXP4nmjZYZmW/dNTqMYG4////Q75zScp2aXo1S+2AulEREREREREmcasHRU8s95mNSjltV+nhWFQiqz++BUAIL/9FGKP/Y1lvfolfbeibfuk74OIiIiIiIgoGcRhJwWeSOn7X7esIzfXBp6wphQABqUoHF/BcVHVLvn78uQkfx9ERERERERESaD93+FA/90sy+S3n1pX2rQx8Jiz7wFgUIqCaGdeZjzo1ivwR5KKgFELT1kkIiIiIiKi7Cb69A+/gl1NqRZ+LcygFFmZU1Z6vYFpLFPxR9LCi7sRERERERFRlvPq4V/fbJcpxaAUUUBunvF/U2NgjGsqMqVaeMoiERERERERZTf55YeW5+LUC62vW4JSZk2pln0t3LJ/egplBqUaG1KbKdXC/xCJiIiIiIgou4mDxlufD9rduoIalGKhcwBAUlNg/vvf/+Lnn3/GokWLkJOTg6eeeipknbVr1+KJJ57A77//jry8POy+++448cQTkZPDwtdpYQlKMVOKiIiIiIiIyA3RtSek+ty8vjapQSnJQudAkoNSTU1NGDZsGHr16oWPP/445HVd13HzzTejrKwM1113HTZv3owHH3wQAHDKKacks2nkJM8MSjUCTb5MqVQECFtXJX8fRERERERERMlSXBr+dUumlO96m0Gp5DnyyCMBAJ9++qnt6zNnzsTSpUvx8MMPo3Xr1gCAE088EQ899BCOPvpoFBUVJbN5ZCcn1/i/sd74BwQCVUkkdhsJLF4AsUOfpO+LiIiIiIiIKOFKysK/7ituLpuagIYGY1kLn30vrWPk/vrrL3Tu3NkfkAKAgQMHorGxEQsWLMBOO+0U8p7GxkY0Njb6nwshUFhY6H+czcz2p/XnyC8w/m9s9P+RiLz8pLdJeDzAEScndR8Uu4zom0Qusb9StmGfpWzFvkvZhP2VUkHk5kKdf8+uvwkhgEV/BZ57PCHrtaT+mtagVG1tLcrLyy3LSkpKkJOTg9raWtv3TJ8+Ha+88or/ebdu3XDrrbeiqqr5DP+qqalJ27710hIsAwApIX/6CgBQXlmFknbt0tYmyhzp7JtE0WJ/pWzDPkvZin2Xsgn7KyXbEuVxu3btUH/Hk1h9SaA8kbxqIgp2GYI63/O21W3haWMfz2gJ/TXqoNRLL71kCQrZufnmm7HDDju42p5d5E9K6RgRHDduHMaMGRPy/jVr1qDJrIGUpYQQqKmpwcqVKyGljPyGJJBNjSHLav+ag80DhqahNZQpMqFvErnF/krZhn2WshX7LmUT9ldKFc8tT0B/43lox07EihUrgAprwMm7ahnq3pvuf75qez3EihWWdZpDf83JyXGVPBR1UOrAAw/E7rvvHnYdt1lLFRUVmDdvnmXZli1b4PV6QzKoTLm5ucjNzbV9LVt/WcGklOn7WTw5xphWc+Y9ANC9zeazpfiktW8SRYn9lbIN+yxlK/Zdyibsr5R0baqhnXwBABcxipJSQGiO67WE/hp1UKqsrAxlZRGKd7nUq1cv/Pe//8WGDRvQqlUrAMCsWbOQm5uL7t27J2QfFIO8AmBbXeB5UUn62kJERERERETUHOXlp7sFaZfUuQfXrl2LRYsWYe3atdB1HYsWLcKiRYuwfft2AEZR844dO+KBBx7AwoULMXv2bDz77LPYZ599OPNeOpnFzn3EXv9IU0OIiIiIiIiImimtZc+8ByS50PmLL76Izz77zP/8sssuAwBMnToV/fr1g6ZpmDx5Mp544glMmTIFeXl5GDlyJE444YRkNosiCY7WFjJASERERERERJRQnrTOPZcRkvoJnHPOOTjnnHPCrlNZWYkrrrgimc2gaOUo3cJmekoiIiIiIiIiipOW1MFrWYGfAIXyeOwfExEREREREVFiMFOKQSmyof5h8I+EiIiIiIiIKHYdu9ovZxIIg1Jko3574DH/SIiIiIiIiIhiJnbc2f4FDt9jUIpsrFgSeMxMKSIiIiIiIqLYOSV78HqbQSmKgJlSRERERERERDETu46wf4HX2wxKUQSM3BIRERERERHFTHTtaf8Cg1IMSlEEDEoRERERERERJd4fv6a7BWnHoBSFt3JpultARERERERERM0Qg1JERERERERERJRyDEoRERERERERESVTu06hy4pKUt+ODMOgFIXq0iPdLSAiIiIiIiJqPvILQhaJfxyRhoZkFgalKNTf89LdAiIiIiIiIqLmY9H/QpflhQaqWhoGpYiIiIiIiIiIUm3Z3+luQdoxKEVERERERERElGp1m9PdgrRjUIrC67FjultARERERERE1Pzs0DfdLUg7BqUoLNGuY7qbQERERERERJTdOncPWSSG7pmGhmQWBqUoLPnT1+luAhEREREREVFW086+EujQxbowNy89jckgDEpRKHWqyq1b0tcOIiIiIiIiomZAtKmGZ9r9EMefHViYl5++BmUIBqUoFP8wiIiIiIiIiBJO7HkA0KUHxOiDIIRId3PSLifdDaAM1L03MPP7dLeCiIiIiIiIqFkRQsBz9V3pbkbGYKYUhRA1HdLdBCIiIiIiIiJq5hiUolDFZeluARERERERERE1cwxKUQgx+v/S3QQiIiIiIiIiauYYlKIQorAI2llXAGUV0C65Kd3NISIiIiIiIqJmiIXOyZbYdQS0XYZzNgAiIiIiIiIiSgpmSpEjBqSIiIiIiIiIKFkYlCIiIiIiIiIiopRjUIqIiIiIiIiIiFKOQSkiIiIiIiIiIko5BqWIiIiIiIiIiCjlGJQiIiIiIiIiIqKUY1CKiIiIiIiIiIhSjkEpIiIiIiIiIiJKOQaliIiIiIiIiIgo5RiUIiIiIiIiIiKilGNQioiIiIiIiIiIUi4n3Q1IlJycZvOjNKufhZoX9k3KJuyvlG3YZylbse9SNmF/pWySzf3VbduFlFImuS1EREREREREREQWHL6XQbZt24bLL78c27ZtS3dTiCzYNymbsL9StmGfpWzFvkvZhP2VsklL6q8MSmUQKSUWLlwIJq9RpmHfpGzC/krZhn2WshX7LmUT9lfKJi2pvzIoRUREREREREREKcegFBERERERERERpRyDUhkkNzcX48ePR25ubrqbQmTBvknZhP2Vsg37LGUr9l3KJuyvlE1aUn/l7HtERERERERERJRyzJQiIiIiIiIiIqKUY1CKiIiIiIiIiIhSjkEpIiIiIiIiIiJKOQaliIiIiIiIiIgo5RiUIiKirNLQ0JDuJhBFZf78+ey3RERERDYYlEqRLVu2YNOmTQAAXdfT3Boiw7p16/Dll1/ir7/+Ql1dXbqbQxTW6tWrcemll2L69OnpbgqRK6tWrcJtt92GK6+8Et988026m0Pk2tq1a/Hjjz9i8eLF/vNWTthNmYrXWZRt2GetctLdgJbgP//5D2bMmIGDDjoIhx12GDSNsUBKLyklnnrqKXz66afo1q0b5s+fj+HDh+OYY45Bq1at0t08IgspJR5//HF88sknGDx4MP7v//4v3U0iCktKiX/+85/48MMPMWjQIBQVFaGgoCDdzSJy5ZlnnsGHH36IXr16Yd68edhjjz1w8MEHo23btpBSQgiR7iYS+fE6i7IN+2woIXnbI2nq6urwzDPPYMmSJdB1Ha1atcLhhx+OHj168Eud0mb16tV4+OGH0dTUhBNOOAHdunXDZ599hnfffRcTJkxA//79091EIr+VK1di8uTJaN26Nc4991x069Yt3U0iCuv777/Hfffdh86dO+Pkk09Gz549cfXVV6Njx46YOHEiv/8po3388cf4+OOPcfzxx6Nnz574/vvv8d5770EIgWnTpqW7eUR+vM6ibMM+64yZUgmmdqi8vDxUVVVh0KBBKCkpwdNPP43vv/8eXbt2RU5OTovvfJQ6al/TdR2DBw/GzjvvjPbt2wMAhgwZgvfffx/t2rVLZzOJAFj7q8fjQevWrdG7d29069YNc+fOxXfffYeSkhJ0794dvXv3RmFhYZpbTC2d2mc3bdqE8847D0OHDgVg1EBr27YttmzZgvr6euTn56ezqUQWZt81///uu+/Qtm1b9OnTBwAwfPhwzJkzB++//z5mzJiBffbZh+evlBF4nUXZgLEBdxiUSqCGhgYIIZCbmwsAyMnJwUEHHYSioiIAQL9+/TBnzhzMmjULu+66azqbSi1IcL9s3bo1Ro0aheLiYgBAbW0t7r//fni9XrzyyisYNGgQBg8enM4mUwsW3F/btGmDI488EnfddRfWrFmD5cuXo3v37pg9ezY++OAD7LTTTjj33HPT3GpqyYL77N577+1Pxdd1HXl5eSgtLcXixYuRn58PXdeZqk8ZQe27Qgh/bcnKykpLP83Ly0O7du3w/PPPY/To0fB4POlsNrVQ5gW72Tdzc3N5nUUZjbEB9xiUSpDnn38eM2fORElJCQYNGoTRo0ejqKgIhYWF/oPnQQcdhHvvvRc//PADevTogbKyshYdEaXkc+qXeXl5AIAVK1bgkksuQb9+/XDIIYfgxx9/xHPPPYclS5bgsMMOS3PrqaVx6q/9+vXDHnvsgVWrVuGyyy5D+/btkZubi48++ghvvfUWPvjgA+y///7pbj61QMF9dq+99rJ875sGDBiATz75BGvXrkVlZWUaW0xkCO675s2qDh06YNasWcjNzcUBBxyA119/HZ9++ikmTJiAZ599FjNmzODxllLurbfeQkNDQ0j9naKiIl5nUUZibCA6vFUXp6amJtx111348ccfMXbsWLRq1QofffQR7rvvPgCAEAKapkHXdVRWVmL48OFYuHAhfv75Z//rLOtFiRapX5ratWuHG2+8EVdeeSVGjx6Niy66CIMGDcLPP//M6cspZZz667333gsAKCkpwbhx4zBhwgR07tzZf5d+2LBhqKmpwaJFizhzCaVUpD5rXjSpGVOlpaVYu3Zt2tpMBDj33XvuuQcAcOSRR6J37974/PPPcf755+OXX37BFVdcgZEjR6Jt27Y8N6CUmjdvHq699lo8++yz+O677/DXX38BsM5WpmkapJS8zqKMwNhAbBiUitPKlSvx999/Y8KECRgxYgTOPfdcnHHGGfjtt9/wxhtvhHSq/fbbD+Xl5fjll1+wePFifPHFF5zenBIumn7ZtWtX/2NN07By5UqUlJT4v+SJks2pv/7+++944403AAAdOnTADjvs4P8yl1KipKQEy5cvh6ZpHA5FKeX2GGteOPXp0wfr16/H1q1bLcuJUs2p786ZMwevvfYaCgoKMGHCBEydOhXTpk3DnXfeiR49eqCxsRHLly/3D0MhSoWZM2eitLQUZ511FsrKyvDxxx8DgOM5Kq+zKN0YG4gNz+Lj1NDQgJUrV6J79+4AjPHOffr0wfjx4zF9+nSsXLkSAPwR0dzcXOy7775YsGABrr32Wjz88MP8gqeEc9svg/3111+oq6vDyJEjkZOT0yLTRyn1IvXXFStWhLxHCIFff/0VxcXF2GOPPVLdZGrhovnuN//v2bMnfvvtN8tyolQL13dff/11LF++HIBRz69z587+C6hvvvkGbdu2xZAhQ9LWdmo5zH43atQojBkzBqNHj0a/fv2wZMkSfPPNN5Z1APhrTfE6i9KNsYHY8KwoTpqmoWPHjvjyyy8ty8eMGYPi4mJ8+OGHAOAfO7py5Up89913WL16NYYPH44nn3wSBx98cDqaTs1YNP1y6dKl+OOPP/D444/jxhtvRLdu3TBs2LB0NJtaqGj66+LFi/Hbb7/hsccewz333IP+/fujZ8+e6Wg2tWBu+6zX6wUAFBQUoLa2FvX19Whqakp5e4lMkfruRx99BMA43m7evBk//PADHnvsMTz++OPYZZddUFFRwSxqSjrzpmhlZSV69eoFwJgJsqKiAl9++SW2bNniv6g38TqLMgFjA7FhUCpOlZWVqKmpwZ9//okNGzZACAGv14ucnBwceOCB+OqrrywFTz/66CP8/vvvuP3223HaaaehoKAgzT8BNUfR9Mu///4bb7zxBlavXo3rrrsOEyZMQE4O50Cg1Immvy5cuBCvvvoqVqxYgWnTpuHYY49l1gmlnNs+6/F4/H338MMPxz/+8Q8eXymtojneSikxd+5crFq1Ctdffz3Gjx8PIQSzqCnlpJRo27YtBg0ahNraWnz66acAQrNOeZ1F6cbYQGx4Jh/GypUrMWvWLNvXzLufZkX9ZcuW+dNJzSK8RUVFKCkpwbp16/yR/GOPPRYPP/wwOnfunIKfgJqjRPVLs+Du4MGDccopp+Cqq65Cly5dUvATUEuS6P46dOhQnHnmmZg6daqlHhpRoiTyux8IXDTtueeeaN++fbKbTy1Yoo+3ZWVlGD9+PKZMmcLjLSWcm/5qMq+jhg0bhg4dOuDnn3/2D+1fsGCBfz1eZ1EyLVmyBM8995x/mLOKsYH4MCjl4O+//8b555+Pe++9F2vWrPEvNzuQx+NBQ0MDvvrqK+y9997o2rUrvv76a3+9CABYt24dysrKUFVVFTITD1EsEtkvq6urAQB5eXn+x0SJlIz+WlBQgJqamtT+INRiJPq7nyhVknG8BYDCwsLU/RDUYrjpr01NTf6MKDPrtKioCMOHD4eUEi+//DKuu+46TJ48GVu2bAHA6yxKjqamJjz00EO45JJL0NDQYDlGmsOZGRuIDz8FB01NTRg4cCA8Hg9ef/11/3Kz47zzzjuYOHEivvrqKwDGONHq6mrcdNNNeOKJJ/DYY4/hrbfewvDhwwGA4+8pIdgvKZuwv1K2YZ+lbMW+S9nETX8944wz8NNPP4UEnDp16oS1a9fiq6++QllZGR599FGUlJSk/oegFuHjjz/GqaeeihUrVuD222/HKaec4h+GL6X0D2fmMTY+QvITsWWO79xnn31w44034vrrr0ePHj0AAO+99x7efPNNHHPMMRgxYoT/ICmlxGuvvYbVq1dj/fr1OOyww9C7d+90/hjUzLBfUjZhf6Vswz5L2Yp9l7KJ2/66++67W2qY/fbbb7jttttQU1ODiRMn+mc4I0qWKVOmYMuWLbjhhhtQXFyMBQsWYOPGjWjbti0qKyuRl5fHY2wCMCjl4NNPP8WyZctw3HHH4eqrr0ZxcTEmT56MpqYm5OTkoKGhAXl5ef711UgpUbKwX1I2YX+lbMM+S9mKfZeySbT91bR582bMnDkTI0eOTEOrqSXxer3weDz466+/cP/992PUqFFYsGABlixZgry8PGzatAl9+/bFRRddBK/Xi8bGRkuRch5jo9Oih+/9/PPPAOzT5xYuXIj6+noAwKRJk/Drr7/ipptuwtSpU7F06dKQAyU7HSUK+yVlE/ZXyjbss5St2HcpmySyv5rbKS0tZUCKkkbtsx6PB1JK9OrVCzvuuCOmT5+OkpISXHzxxTj//PMxceJE/PTTT3j55Zfh8XhCZs3jMTY6LTIo9fPPP2PixIm49dZbMXfuXAgh/AdM8/+NGzdi8ODBAIxU0dzcXMyePRsHH3wwOnbsmLa2U/PFfknZhP2Vsg37LGUr9l3KJsnqr7zIp2Rx6rNmfz3uuONw8MEH4+ijj0bXrl3RuXNnDBo0CMcccwzee+89NDU1pfknyH4tLij1559/4r333sOQIUOw884746mnngIQONCZnS83NxefffYZJk+ejOeffx7jxo1DQUGBf5pcokRiv6Rswv5K2YZ9lrIV+y5lE/ZXyjbh+qymaZBSoqysDOPGjUPr1q0t723VqhV0Xcfy5cvT0PLmpcUEpcyDYHl5OQYMGIAxY8bgqKOOwtKlS/Hxxx8DMKYh1TQNDQ0N2LZtG3755Rf06NEDt912Gw4//HCMHTsWzz77LFavXp3OH4WaEfZLyibsr5Rt2GcpW7HvUjZhf6Vs47bPmgHV/Pz8kG3MmTMH/fr1Q+fOnVPX8Gaq2Rc6X7BgAWpqalBUVORfZh4UvV4v/v3vf+Pzzz/Hww8/jNzcXP9r8+bNQ0FBgSWFtLGxEe+++y7GjBnjr6pPFAv2S8om7K+UbdhnKVux71I2YX+lbBNtnw22evVq6LqO1157DbNmzcLJJ5+MwYMHs7B5nJptUOrbb7/F008/jZycHHi9XowePRr7778/Kioq/JFRIQRWr16NqVOnYvjw4TjxxBP9nZIoGdgvKZuwv1K2YZ+lbMW+S9mE/ZWyTax9Vg02LV++HO+++y6+/fZbdOzYEaeffjrat2+fzh+r2chJdwOSYf78+XjxxRdx8MEHo1+/fpg7dy5eeuklbNq0CUcffTRKSkr86XhVVVUYN24c/vWvf+HAAw9EdXU1mpqa4PV6kZ+fz6gnJQz7JWUT9lfKNuyzlK3YdymbsL9Stom3zzY2NkIIgZqaGuy2224YMWIE+vbtm+4fq1lpVqFqM8o5f/58bN++HaNHj0aXLl2w//77Y/z48Vi4cCHef/99APBH6YUQGDFiBHr06IGnnnoKCxYswK233orvvvuOB0pKCPZLyibsr5Rt2GcpW7HvUjZhf6Vsk8g++/XXX0MIgYEDBzIglQTNKihlHthWr16Ndu3awePx+F8bPXo0unfvjl9//RVLliwBYIwfBYCSkhLss88++OmnnzB58mR4PB4MGzaMB0pKCPZLyibsr5Rt2GcpW7HvUjZhf6Vsk6g+m5OTg6FDh7LPJlFWD9+bNWsWfvzxR9TU1KBXr17o0aMHAKBPnz549913UVtbi7Zt20LXdRQUFGDw4MFYtGgRZs6ciU6dOkHTNDQ1NWHGjBl48skn0bdvX5x66qno1KlTmn8yymbsl5RN2F8p27DPUrZi36Vswv5K2YZ9NntlZabUhg0bcMstt+D+++/Hli1b8PHHH+OGG27AvHnzAAADBgxAdXU1Xn/9dcv7BgwYAE3TsHLlSv+yLVu2YMWKFTj77LMxbdo0djqKGfslZRP2V8o27LOUrdh3KZuwv1K2YZ/NflmXKVVfX4/nn38eBQUFuPHGG1FdXQ0AmDx5Mj744AP06NEDOTk5GDduHB588EGMGjUKvXv39r+/TZs2WLZsmf95RUUFJkyYkOofg5oZ9kvKJuyvlG3YZylbse9SNmF/pWzDPts8ZF2mVH5+PnJzczF69GhUV1fD6/UCAAYNGuTvUJqmYfjw4Rg8eDAeeeQR/PHHH5BSora2FitXrsQee+yRzh+BmiH2S8om7K+UbdhnKVux71I2YX+lbMM+2zwIaZalzyJNTU3IyTGSvMyZG+6//37k5eXhzDPP9C9raGjAzTffjKVLl6Jr165YvHgxKisrceGFF6KysjLNPwU1N+yXlE3YXynbsM9StmLfpWzC/krZhn02+2Xd8D0A/k4HBKrqr127FnvttZd/ua7ryMvLw/nnn4/Fixdj3rx5GDVqFEaOHJny9lLLwH5J2YT9lbIN+yxlK/Zdyibsr5Rt2GezX1YGpYKtWrUKy5cvR+fOnQEYndHr9ULTNFRUVKCiogIDBgxIcyuppWG/pGzC/krZhn2WshX7LmUT9lfKNuyz2SfrakqpzJGHf/75JwoKCtC9e3cAwMsvv4x//etf2LhxYzqbRy0U+yVlE/ZXyjbss5St2Hcpm7C/UrZhn81eWZ0pZabnzZs3D0OHDsWsWbPw6KOPoqGhAeeeey7Ky8vT3EJqidgvKZuwv1K2YZ+lbMW+S9mE/ZWyDfts9srqoBQANDQ0YObMmVi1ahXeffddHHHEETj00EPT3Sxq4dgvKZuwv1K2YZ+lbMW+S9mE/ZWyDftsdsr6oFReXh6qqqowYMAAnHjiicjLy0t3k4jYLymrsL9StmGfpWzFvkvZhP2Vsg37bHYS0hx8mcV0XYemZXV5LGqG2C8pm7C/UrZhn6Vsxb5L2YT9lbIN+2z2aRZBKSIiIiIiIiIiyi4MIRIRERERERERUcoxKEVERERERERERCnHoBQREREREREREaUcg1JERERERERERJRyDEoREREREREREVHKMShFREREREREREQpx6AUERERUQLMnTsXL730Eurq6izLp02bhmnTpqWnUUREREQZLCfdDSAiIiJqDubOnYtXXnkFo0ePRnFxsX/5aaedlsZWEREREWUuBqWIiIiIkqhjx47pbgIRERFRRhJSSpnuRhARERFls5deegmvvPJKyPKpU6fi5ZdfBgD/EL7Vq1fj3HPPxfHHHw9d1/Hhhx+itrYWPXv2xBlnnIHq6mq8+OKL+Pzzz7F9+3bstNNOOOOMM1BeXm7Z9tdff423334bixcvBgD06dMHxx57LLp165bcH5aIiIgoQRiUIiIiIorTunXr8Prrr+O9997DJZdcgoqKCgBGltRtt90GIDQoVVVVhc6dO2O//fZDXV0dnnnmGRQVFaFnz57weDwYPnw41qxZg2effRb9+vXD5Zdf7t/ff//7X7z44osYPXo0hg4diqamJrzxxhv4+++/cfPNNzM7i4iIiLICh+8RERERxalNmzaorKwEAHTt2hXV1dUR31NUVIRLL70UmmbMO7N582Y89dRT6NChAy677DL/esuWLcM777yDrVu3oqioCGvXrsXLL7+MAw44AKeccop/vQEDBmDSpEl4+eWXceGFFyb4JyQiIiJKPM6+R0RERJQGu+yyiz8gBQAdOnQAAOy6666W9cysp7Vr1wIAZs6cCa/Xi1GjRsHr9fr/5ebmYscdd8Qff/yRop+AiIiIKD7MlCIiIiJKg5KSEsvznJycsMsbGxsBABs3bgQATJ482Xa7QoiEtpOIiIgoWRiUIiIiIsoipaWlAICLLroIVVVVaW4NERERUewYlCIiIiJKgNzcXABAQ0NDUvczcOBAeDwerFq1CsOGDUvqvoiIiIiSiUEpIiIiogTo3LkzAOCdd97B6NGj4fF40L59+4Tvp7q6GkceeSReeOEFrFq1CjvvvDNKSkpQW1uLefPmoaCgAEceeWTC90tERESUaAxKERERESVAv379cOihh+Kzzz7DjBkzIKXE1KlTk7KvcePGoWPHjnjnnXfw1VdfoampCRUVFdhhhx2w3377JWWfRERERIkmpJQy3Y0gIiIiIiIiIqKWRYu8ChERERERERERUWIxKEVERERERERERCnHoBQREREREREREaUcg1JERERERERERJRyDEoREREREREREVHKMShFREREREREREQpx6AUERERERERERGlHINSRERERERERESUcgxKERERERERERFRyjEoRUREREREREREKcegFBERERERERERpRyDUkRERERERERElHL/D3nOpv0tn5J/AAAAAElFTkSuQmCC\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(12, 4))\\n\",\n    \"df1.plot(ax=ax)\\n\",\n    \"df2.plot(ax=ax)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch12-timeseries-temperature-2014.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 120,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# select january data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 121,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"<class 'pandas.core.frame.DataFrame'>\\n\",\n      \"DatetimeIndex: 49548 entries, 2014-01-01 00:03:06+01:00 to 2014-12-30 23:56:35+01:00\\n\",\n      \"Data columns (total 1 columns):\\n\",\n      \" #   Column   Non-Null Count  Dtype  \\n\",\n      \"---  ------   --------------  -----  \\n\",\n      \" 0   outdoor  49548 non-null  float64\\n\",\n      \"dtypes: float64(1)\\n\",\n      \"memory usage: 774.2 KB\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"df1.info()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 122,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df1_jan = df1[(df1.index > \\\"2014-1-1\\\") & (df1.index < \\\"2014-2-1\\\")]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 123,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ True,  True,  True, ..., False, False, False])\"\n      ]\n     },\n     \"execution_count\": 123,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df1.index < \\\"2014-2-1\\\"\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 124,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"<class 'pandas.core.frame.DataFrame'>\\n\",\n      \"DatetimeIndex: 4452 entries, 2014-01-01 00:03:06+01:00 to 2014-01-31 23:56:58+01:00\\n\",\n      \"Data columns (total 1 columns):\\n\",\n      \" #   Column   Non-Null Count  Dtype  \\n\",\n      \"---  ------   --------------  -----  \\n\",\n      \" 0   outdoor  4452 non-null   float64\\n\",\n      \"dtypes: float64(1)\\n\",\n      \"memory usage: 69.6 KB\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"df1_jan.info()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 125,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df2_jan = df2[\\\"2014-1-1\\\":\\\"2014-1-31\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 126,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(12, 4))\\n\",\n    \"\\n\",\n    \"df1_jan.plot(ax=ax)\\n\",\n    \"df2_jan.plot(ax=ax)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch12-timeseries-selected-month.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 127,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# group by month\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 128,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df1_month = df1.reset_index()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 129,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df1_month[\\\"month\\\"] = df1_month.time.apply(lambda x: x.month)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 130,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th>outdoor</th>\\n\",\n       \"      <th>month</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>2014-01-01 00:03:06+01:00</td>\\n\",\n       \"      <td>4.38</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2014-01-01 00:13:06+01:00</td>\\n\",\n       \"      <td>4.25</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>2014-01-01 00:23:07+01:00</td>\\n\",\n       \"      <td>4.19</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>2014-01-01 00:33:07+01:00</td>\\n\",\n       \"      <td>4.06</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>2014-01-01 00:43:08+01:00</td>\\n\",\n       \"      <td>4.06</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"                       time  outdoor  month\\n\",\n       \"0 2014-01-01 00:03:06+01:00     4.38      1\\n\",\n       \"1 2014-01-01 00:13:06+01:00     4.25      1\\n\",\n       \"2 2014-01-01 00:23:07+01:00     4.19      1\\n\",\n       \"3 2014-01-01 00:33:07+01:00     4.06      1\\n\",\n       \"4 2014-01-01 00:43:08+01:00     4.06      1\"\n      ]\n     },\n     \"execution_count\": 130,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df1_month.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 131,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df1_month = df1_month[[\\\"month\\\", \\\"outdoor\\\"]].groupby(\\\"month\\\").aggregate(np.mean)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 132,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df2_month = df2.reset_index()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 133,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df2_month[\\\"month\\\"] = df2_month.time.apply(lambda x: x.month)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 134,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df2_month = df2_month[[\\\"month\\\", \\\"indoor\\\"]].groupby(\\\"month\\\").aggregate(np.mean)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 135,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>outdoor</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>month</th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>-1.776646</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>2.231613</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>4.615437</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>8.105193</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"        outdoor\\n\",\n       \"month          \\n\",\n       \"1     -1.776646\\n\",\n       \"2      2.231613\\n\",\n       \"3      4.615437\\n\",\n       \"4      8.105193\"\n      ]\n     },\n     \"execution_count\": 135,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df1_month.head(4)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 136,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>indoor</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>month</th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>19.862590</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>20.231507</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>19.597748</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>22.149754</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"          indoor\\n\",\n       \"month           \\n\",\n       \"1      19.862590\\n\",\n       \"2      20.231507\\n\",\n       \"3      19.597748\\n\",\n       \"4      22.149754\"\n      ]\n     },\n     \"execution_count\": 136,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df2_month.head(4)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 137,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_month = df1_month[[\\\"outdoor\\\"]].join(df2_month[[\\\"indoor\\\"]])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 138,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>outdoor</th>\\n\",\n       \"      <th>indoor</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>month</th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>-1.776646</td>\\n\",\n       \"      <td>19.862590</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>2.231613</td>\\n\",\n       \"      <td>20.231507</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>4.615437</td>\\n\",\n       \"      <td>19.597748</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"        outdoor     indoor\\n\",\n       \"month                     \\n\",\n       \"1     -1.776646  19.862590\\n\",\n       \"2      2.231613  20.231507\\n\",\n       \"3      4.615437  19.597748\"\n      ]\n     },\n     \"execution_count\": 138,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_month.head(3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 139,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/var/folders/dw/s8n_0fz93_517nztg9jpvkb80000gn/T/ipykernel_29605/2320372862.py:1: UserWarning: Converting to PeriodArray/Index representation will drop timezone information.\\n\",\n      \"  df_month = pd.concat([df.to_period(\\\"M\\\").groupby(level=0).mean() for df in [df1, df2]], axis=1)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"df_month = pd.concat([df.to_period(\\\"M\\\").groupby(level=0).mean() for df in [df1, df2]], axis=1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 140,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>outdoor</th>\\n\",\n       \"      <th>indoor</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-01</th>\\n\",\n       \"      <td>-1.776646</td>\\n\",\n       \"      <td>19.862590</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-02</th>\\n\",\n       \"      <td>2.231613</td>\\n\",\n       \"      <td>20.231507</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-03</th>\\n\",\n       \"      <td>4.615437</td>\\n\",\n       \"      <td>19.597748</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"          outdoor     indoor\\n\",\n       \"time                        \\n\",\n       \"2014-01 -1.776646  19.862590\\n\",\n       \"2014-02  2.231613  20.231507\\n\",\n       \"2014-03  4.615437  19.597748\"\n      ]\n     },\n     \"execution_count\": 140,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_month.head(3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 141,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 2, figsize=(12, 4))\\n\",\n    \"\\n\",\n    \"df_month.plot(kind='bar', ax=axes[0])\\n\",\n    \"df_month.plot(kind='box', ax=axes[1])\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch12-grouped-by-month.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 142,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>outdoor</th>\\n\",\n       \"      <th>indoor</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-01</th>\\n\",\n       \"      <td>-1.776646</td>\\n\",\n       \"      <td>19.862590</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-02</th>\\n\",\n       \"      <td>2.231613</td>\\n\",\n       \"      <td>20.231507</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-03</th>\\n\",\n       \"      <td>4.615437</td>\\n\",\n       \"      <td>19.597748</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-04</th>\\n\",\n       \"      <td>8.105193</td>\\n\",\n       \"      <td>22.149754</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-05</th>\\n\",\n       \"      <td>12.261396</td>\\n\",\n       \"      <td>26.332160</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-06</th>\\n\",\n       \"      <td>15.586955</td>\\n\",\n       \"      <td>28.687491</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-07</th>\\n\",\n       \"      <td>20.780314</td>\\n\",\n       \"      <td>30.605333</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-08</th>\\n\",\n       \"      <td>16.494823</td>\\n\",\n       \"      <td>28.099068</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-09</th>\\n\",\n       \"      <td>12.823905</td>\\n\",\n       \"      <td>26.950366</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-10</th>\\n\",\n       \"      <td>9.352000</td>\\n\",\n       \"      <td>23.379460</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-11</th>\\n\",\n       \"      <td>4.992142</td>\\n\",\n       \"      <td>20.610365</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-12</th>\\n\",\n       \"      <td>-0.058940</td>\\n\",\n       \"      <td>16.465674</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"           outdoor     indoor\\n\",\n       \"time                         \\n\",\n       \"2014-01  -1.776646  19.862590\\n\",\n       \"2014-02   2.231613  20.231507\\n\",\n       \"2014-03   4.615437  19.597748\\n\",\n       \"2014-04   8.105193  22.149754\\n\",\n       \"2014-05  12.261396  26.332160\\n\",\n       \"2014-06  15.586955  28.687491\\n\",\n       \"2014-07  20.780314  30.605333\\n\",\n       \"2014-08  16.494823  28.099068\\n\",\n       \"2014-09  12.823905  26.950366\\n\",\n       \"2014-10   9.352000  23.379460\\n\",\n       \"2014-11   4.992142  20.610365\\n\",\n       \"2014-12  -0.058940  16.465674\"\n      ]\n     },\n     \"execution_count\": 142,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_month\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 143,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# resampling\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 144,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df1_hour = df1.resample(\\\"H\\\").mean()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 145,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df1_hour.columns = [\\\"outdoor (hourly avg.)\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 146,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df1_day = df1.resample(\\\"D\\\").mean()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 147,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df1_day.columns = [\\\"outdoor (daily avg.)\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 148,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df1_week = df1.resample(\\\"7D\\\").mean()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 149,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df1_week.columns = [\\\"outdoor (weekly avg.)\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 150,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df1_month = df1.resample(\\\"M\\\").mean()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 151,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df1_month.columns = [\\\"outdoor (monthly avg.)\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 152,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_diff = (df1.resample(\\\"D\\\").mean().outdoor - df2.resample(\\\"D\\\").mean().indoor)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 153,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x600 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(12, 6))\\n\",\n    \"\\n\",\n    \"df1_hour.plot(ax=ax1, alpha=0.25)\\n\",\n    \"df1_day.plot(ax=ax1)\\n\",\n    \"df1_week.plot(ax=ax1)\\n\",\n    \"df1_month.plot(ax=ax1)\\n\",\n    \"\\n\",\n    \"df_diff.plot(ax=ax2)\\n\",\n    \"ax2.set_title(\\\"temperature difference between outdoor and indoor\\\")\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch12-timeseries-resampled.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 154,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>None</th>\\n\",\n       \"      <th>ffill</th>\\n\",\n       \"      <th>bfill</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-01-01 00:00:00+01:00</th>\\n\",\n       \"      <td>4.38</td>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>4.38</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-01-01 00:05:00+01:00</th>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>4.38</td>\\n\",\n       \"      <td>4.25</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-01-01 00:10:00+01:00</th>\\n\",\n       \"      <td>4.25</td>\\n\",\n       \"      <td>4.38</td>\\n\",\n       \"      <td>4.25</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-01-01 00:15:00+01:00</th>\\n\",\n       \"      <td>NaN</td>\\n\",\n       \"      <td>4.25</td>\\n\",\n       \"      <td>4.19</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-01-01 00:20:00+01:00</th>\\n\",\n       \"      <td>4.19</td>\\n\",\n       \"      <td>4.25</td>\\n\",\n       \"      <td>4.19</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"                           None  ffill  bfill\\n\",\n       \"time                                         \\n\",\n       \"2014-01-01 00:00:00+01:00  4.38    NaN   4.38\\n\",\n       \"2014-01-01 00:05:00+01:00   NaN   4.38   4.25\\n\",\n       \"2014-01-01 00:10:00+01:00  4.25   4.38   4.25\\n\",\n       \"2014-01-01 00:15:00+01:00   NaN   4.25   4.19\\n\",\n       \"2014-01-01 00:20:00+01:00  4.19   4.25   4.19\"\n      ]\n     },\n     \"execution_count\": 154,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"pd.concat([df1.resample(\\\"5min\\\").mean().rename(columns={\\\"outdoor\\\": 'None'}),\\n\",\n    \"           df1.resample(\\\"5min\\\").ffill().rename(columns={\\\"outdoor\\\": 'ffill'}),\\n\",\n    \"           df1.resample(\\\"5min\\\").bfill().rename(columns={\\\"outdoor\\\": 'bfill'})], axis=1).head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Selected day\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 155,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df1_dec25 = df1[(df1.index < \\\"2014-9-1\\\") & (df1.index >= \\\"2014-8-1\\\")].resample(\\\"D\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 156,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df1_dec25 = df1.loc[\\\"2014-12-25\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 157,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>outdoor</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-12-25 00:01:45+01:00</th>\\n\",\n       \"      <td>-4.88</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-12-25 00:11:45+01:00</th>\\n\",\n       \"      <td>-4.94</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-12-25 00:21:46+01:00</th>\\n\",\n       \"      <td>-5.06</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-12-25 00:31:47+01:00</th>\\n\",\n       \"      <td>-5.06</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-12-25 00:41:47+01:00</th>\\n\",\n       \"      <td>-5.12</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"                           outdoor\\n\",\n       \"time                              \\n\",\n       \"2014-12-25 00:01:45+01:00    -4.88\\n\",\n       \"2014-12-25 00:11:45+01:00    -4.94\\n\",\n       \"2014-12-25 00:21:46+01:00    -5.06\\n\",\n       \"2014-12-25 00:31:47+01:00    -5.06\\n\",\n       \"2014-12-25 00:41:47+01:00    -5.12\"\n      ]\n     },\n     \"execution_count\": 157,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df1_dec25.head(5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 158,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df2_dec25 = df2.loc[\\\"2014-12-25\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 159,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>indoor</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-12-25 00:01:45+01:00</th>\\n\",\n       \"      <td>16.31</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-12-25 00:11:45+01:00</th>\\n\",\n       \"      <td>16.25</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-12-25 00:21:46+01:00</th>\\n\",\n       \"      <td>16.31</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-12-25 00:31:47+01:00</th>\\n\",\n       \"      <td>16.31</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-12-25 00:41:47+01:00</th>\\n\",\n       \"      <td>16.25</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"                           indoor\\n\",\n       \"time                             \\n\",\n       \"2014-12-25 00:01:45+01:00   16.31\\n\",\n       \"2014-12-25 00:11:45+01:00   16.25\\n\",\n       \"2014-12-25 00:21:46+01:00   16.31\\n\",\n       \"2014-12-25 00:31:47+01:00   16.31\\n\",\n       \"2014-12-25 00:41:47+01:00   16.25\"\n      ]\n     },\n     \"execution_count\": 159,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df2_dec25.head(5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 160,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>count</th>\\n\",\n       \"      <th>mean</th>\\n\",\n       \"      <th>std</th>\\n\",\n       \"      <th>min</th>\\n\",\n       \"      <th>25%</th>\\n\",\n       \"      <th>50%</th>\\n\",\n       \"      <th>75%</th>\\n\",\n       \"      <th>max</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>outdoor</th>\\n\",\n       \"      <td>144.0</td>\\n\",\n       \"      <td>-7.788819</td>\\n\",\n       \"      <td>1.456085</td>\\n\",\n       \"      <td>-10.06</td>\\n\",\n       \"      <td>-9.075</td>\\n\",\n       \"      <td>-7.75</td>\\n\",\n       \"      <td>-6.8625</td>\\n\",\n       \"      <td>-4.88</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"         count      mean       std    min    25%   50%     75%   max\\n\",\n       \"outdoor  144.0 -7.788819  1.456085 -10.06 -9.075 -7.75 -6.8625 -4.88\"\n      ]\n     },\n     \"execution_count\": 160,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df1_dec25.describe().T\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 161,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(12, 4))\\n\",\n    \"\\n\",\n    \"df1_dec25.plot(ax=ax)\\n\",\n    \"\\n\",\n    \"fig.savefig(\\\"ch12-timeseries-selected-month-12.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 162,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"DatetimeIndex(['2014-01-01 00:03:06+01:00', '2014-01-01 00:13:06+01:00',\\n\",\n       \"               '2014-01-01 00:23:07+01:00', '2014-01-01 00:33:07+01:00',\\n\",\n       \"               '2014-01-01 00:43:08+01:00', '2014-01-01 00:53:08+01:00',\\n\",\n       \"               '2014-01-01 01:03:09+01:00', '2014-01-01 01:13:09+01:00',\\n\",\n       \"               '2014-01-01 01:23:10+01:00', '2014-01-01 01:33:26+01:00',\\n\",\n       \"               ...\\n\",\n       \"               '2014-12-30 22:26:30+01:00', '2014-12-30 22:36:31+01:00',\\n\",\n       \"               '2014-12-30 22:46:31+01:00', '2014-12-30 22:56:32+01:00',\\n\",\n       \"               '2014-12-30 23:06:32+01:00', '2014-12-30 23:16:33+01:00',\\n\",\n       \"               '2014-12-30 23:26:33+01:00', '2014-12-30 23:36:34+01:00',\\n\",\n       \"               '2014-12-30 23:46:35+01:00', '2014-12-30 23:56:35+01:00'],\\n\",\n       \"              dtype='datetime64[ns, Europe/Stockholm]', name='time', length=49548, freq=None)\"\n      ]\n     },\n     \"execution_count\": 162,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df1.index\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Seaborn statistical visualization library\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 163,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"sns.set(style=\\\"darkgrid\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 164,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"#sns.set(style=\\\"whitegrid\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 165,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df1 = pd.read_csv('temperature_outdoor_2014.tsv', delimiter=\\\"\\\\t\\\", names=[\\\"time\\\", \\\"outdoor\\\"])\\n\",\n    \"df1.time = pd.to_datetime(df1.time.values, unit=\\\"s\\\").tz_localize('UTC').tz_convert('Europe/Stockholm')\\n\",\n    \"\\n\",\n    \"df1 = df1.set_index(\\\"time\\\").resample(\\\"10min\\\").mean()\\n\",\n    \"df2 = pd.read_csv('temperature_indoor_2014.tsv', delimiter=\\\"\\\\t\\\", names=[\\\"time\\\", \\\"indoor\\\"])\\n\",\n    \"df2.time = pd.to_datetime(df2.time.values, unit=\\\"s\\\").tz_localize('UTC').tz_convert('Europe/Stockholm')\\n\",\n    \"df2 = df2.set_index(\\\"time\\\").resample(\\\"10min\\\").mean()\\n\",\n    \"df_temp = pd.concat([df1, df2], axis=1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 166,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(8, 4))\\n\",\n    \"df_temp.resample(\\\"D\\\").mean().plot(y=[\\\"outdoor\\\", \\\"indoor\\\"], ax=ax)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch12-seaborn-plot.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 167,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"#sns.kdeplot(df_temp[\\\"outdoor\\\"].dropna().values, shade=True, cumulative=True);\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 168,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/var/folders/dw/s8n_0fz93_517nztg9jpvkb80000gn/T/ipykernel_29605/2355775285.py:1: UserWarning: Converting to PeriodArray/Index representation will drop timezone information.\\n\",\n      \"  sns.histplot(df_temp.to_period(\\\"M\\\")[\\\"outdoor\\\"][\\\"2014-04\\\"].dropna().values, bins=50, kde=True)\\n\",\n      \"/var/folders/dw/s8n_0fz93_517nztg9jpvkb80000gn/T/ipykernel_29605/2355775285.py:2: UserWarning: Converting to PeriodArray/Index representation will drop timezone information.\\n\",\n      \"  sns.histplot(df_temp.to_period(\\\"M\\\")[\\\"indoor\\\"][\\\"2014-04\\\"].dropna().values, bins=50, kde=True)\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"sns.histplot(df_temp.to_period(\\\"M\\\")[\\\"outdoor\\\"][\\\"2014-04\\\"].dropna().values, bins=50, kde=True)\\n\",\n    \"sns.histplot(df_temp.to_period(\\\"M\\\")[\\\"indoor\\\"][\\\"2014-04\\\"].dropna().values, bins=50, kde=True)\\n\",\n    \"\\n\",\n    \"plt.savefig(\\\"ch12-seaborn-distplot.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 169,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 600x600 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"with sns.axes_style(\\\"white\\\"):\\n\",\n    \"    sns.jointplot(x=df_temp.resample(\\\"H\\\").mean()[\\\"outdoor\\\"].values,\\n\",\n    \"                  y=df_temp.resample(\\\"H\\\").mean()[\\\"indoor\\\"].values, kind=\\\"hex\\\");\\n\",\n    \"    \\n\",\n    \"plt.savefig(\\\"ch12-seaborn-jointplot.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 170,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"sns.kdeplot(x=df_temp.resample(\\\"H\\\").mean()[\\\"outdoor\\\"].dropna().values,\\n\",\n    \"            y=df_temp.resample(\\\"H\\\").mean()[\\\"indoor\\\"].dropna().values, fill=False);\\n\",\n    \"\\n\",\n    \"plt.savefig(\\\"ch12-seaborn-kdeplot.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 171,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"sns.boxplot(df_temp.dropna(), ax=ax1, palette=\\\"pastel\\\")\\n\",\n    \"sns.violinplot(df_temp.dropna(), ax=ax2, palette=\\\"pastel\\\")\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch12-seaborn-boxplot-violinplot.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 172,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"sns.violinplot(x=df_temp.dropna().index.month, y=df_temp.dropna().outdoor, color=\\\"skyblue\\\");\\n\",\n    \"\\n\",\n    \"plt.savefig(\\\"ch12-seaborn-violinplot.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 173,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_temp[\\\"month\\\"] = df_temp.index.month\\n\",\n    \"df_temp[\\\"hour\\\"] = df_temp.index.hour\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 174,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>outdoor</th>\\n\",\n       \"      <th>indoor</th>\\n\",\n       \"      <th>month</th>\\n\",\n       \"      <th>hour</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-01-01 00:00:00+01:00</th>\\n\",\n       \"      <td>4.38</td>\\n\",\n       \"      <td>21.94</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-01-01 00:10:00+01:00</th>\\n\",\n       \"      <td>4.25</td>\\n\",\n       \"      <td>22.00</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-01-01 00:20:00+01:00</th>\\n\",\n       \"      <td>4.19</td>\\n\",\n       \"      <td>22.00</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-01-01 00:30:00+01:00</th>\\n\",\n       \"      <td>4.06</td>\\n\",\n       \"      <td>22.00</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2014-01-01 00:40:00+01:00</th>\\n\",\n       \"      <td>4.06</td>\\n\",\n       \"      <td>22.00</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"                           outdoor  indoor  month  hour\\n\",\n       \"time                                                   \\n\",\n       \"2014-01-01 00:00:00+01:00     4.38   21.94      1     0\\n\",\n       \"2014-01-01 00:10:00+01:00     4.25   22.00      1     0\\n\",\n       \"2014-01-01 00:20:00+01:00     4.19   22.00      1     0\\n\",\n       \"2014-01-01 00:30:00+01:00     4.06   22.00      1     0\\n\",\n       \"2014-01-01 00:40:00+01:00     4.06   22.00      1     0\"\n      ]\n     },\n     \"execution_count\": 174,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_temp.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 175,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"table = pd.pivot_table(df_temp, values='outdoor', index=['month'], columns=['hour'], aggfunc=np.mean)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 176,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th>hour</th>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <th>5</th>\\n\",\n       \"      <th>6</th>\\n\",\n       \"      <th>7</th>\\n\",\n       \"      <th>8</th>\\n\",\n       \"      <th>9</th>\\n\",\n       \"      <th>...</th>\\n\",\n       \"      <th>14</th>\\n\",\n       \"      <th>15</th>\\n\",\n       \"      <th>16</th>\\n\",\n       \"      <th>17</th>\\n\",\n       \"      <th>18</th>\\n\",\n       \"      <th>19</th>\\n\",\n       \"      <th>20</th>\\n\",\n       \"      <th>21</th>\\n\",\n       \"      <th>22</th>\\n\",\n       \"      <th>23</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>month</th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>-1.692312</td>\\n\",\n       \"      <td>-1.750162</td>\\n\",\n       \"      <td>-1.826649</td>\\n\",\n       \"      <td>-1.879086</td>\\n\",\n       \"      <td>-1.922527</td>\\n\",\n       \"      <td>-1.968065</td>\\n\",\n       \"      <td>-2.020914</td>\\n\",\n       \"      <td>-2.035806</td>\\n\",\n       \"      <td>-2.101774</td>\\n\",\n       \"      <td>-2.001022</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>-1.457849</td>\\n\",\n       \"      <td>-1.696935</td>\\n\",\n       \"      <td>-1.814194</td>\\n\",\n       \"      <td>-1.812258</td>\\n\",\n       \"      <td>-1.853297</td>\\n\",\n       \"      <td>-1.898432</td>\\n\",\n       \"      <td>-1.839730</td>\\n\",\n       \"      <td>-1.806486</td>\\n\",\n       \"      <td>-1.854462</td>\\n\",\n       \"      <td>-1.890811</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>1.613690</td>\\n\",\n       \"      <td>1.521190</td>\\n\",\n       \"      <td>1.479405</td>\\n\",\n       \"      <td>1.464371</td>\\n\",\n       \"      <td>1.506407</td>\\n\",\n       \"      <td>1.485595</td>\\n\",\n       \"      <td>1.499167</td>\\n\",\n       \"      <td>1.516946</td>\\n\",\n       \"      <td>1.669226</td>\\n\",\n       \"      <td>2.067725</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>3.573593</td>\\n\",\n       \"      <td>3.360741</td>\\n\",\n       \"      <td>2.939390</td>\\n\",\n       \"      <td>2.501607</td>\\n\",\n       \"      <td>2.357425</td>\\n\",\n       \"      <td>2.236190</td>\\n\",\n       \"      <td>2.204458</td>\\n\",\n       \"      <td>2.137619</td>\\n\",\n       \"      <td>2.024671</td>\\n\",\n       \"      <td>1.896190</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>3.192366</td>\\n\",\n       \"      <td>2.866774</td>\\n\",\n       \"      <td>2.628000</td>\\n\",\n       \"      <td>2.524140</td>\\n\",\n       \"      <td>2.384140</td>\\n\",\n       \"      <td>2.235538</td>\\n\",\n       \"      <td>2.243387</td>\\n\",\n       \"      <td>2.622258</td>\\n\",\n       \"      <td>3.419301</td>\\n\",\n       \"      <td>4.466290</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>7.790323</td>\\n\",\n       \"      <td>7.930914</td>\\n\",\n       \"      <td>7.595892</td>\\n\",\n       \"      <td>6.770914</td>\\n\",\n       \"      <td>5.731508</td>\\n\",\n       \"      <td>4.983784</td>\\n\",\n       \"      <td>4.437419</td>\\n\",\n       \"      <td>4.022312</td>\\n\",\n       \"      <td>3.657903</td>\\n\",\n       \"      <td>3.407258</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>5.832738</td>\\n\",\n       \"      <td>5.336012</td>\\n\",\n       \"      <td>4.926667</td>\\n\",\n       \"      <td>4.597059</td>\\n\",\n       \"      <td>4.380000</td>\\n\",\n       \"      <td>4.109769</td>\\n\",\n       \"      <td>4.123699</td>\\n\",\n       \"      <td>4.741437</td>\\n\",\n       \"      <td>5.878035</td>\\n\",\n       \"      <td>7.272299</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>12.175556</td>\\n\",\n       \"      <td>12.500059</td>\\n\",\n       \"      <td>12.494483</td>\\n\",\n       \"      <td>12.361156</td>\\n\",\n       \"      <td>11.989240</td>\\n\",\n       \"      <td>10.454881</td>\\n\",\n       \"      <td>8.857619</td>\\n\",\n       \"      <td>7.712619</td>\\n\",\n       \"      <td>6.974762</td>\\n\",\n       \"      <td>6.293512</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>5</th>\\n\",\n       \"      <td>9.792204</td>\\n\",\n       \"      <td>9.369351</td>\\n\",\n       \"      <td>9.009839</td>\\n\",\n       \"      <td>8.670914</td>\\n\",\n       \"      <td>8.463387</td>\\n\",\n       \"      <td>8.446919</td>\\n\",\n       \"      <td>8.772324</td>\\n\",\n       \"      <td>9.562742</td>\\n\",\n       \"      <td>10.723622</td>\\n\",\n       \"      <td>12.047717</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>15.542581</td>\\n\",\n       \"      <td>15.744624</td>\\n\",\n       \"      <td>15.784839</td>\\n\",\n       \"      <td>15.799570</td>\\n\",\n       \"      <td>17.009892</td>\\n\",\n       \"      <td>15.685161</td>\\n\",\n       \"      <td>13.632796</td>\\n\",\n       \"      <td>12.216290</td>\\n\",\n       \"      <td>11.291237</td>\\n\",\n       \"      <td>10.622849</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>6</th>\\n\",\n       \"      <td>13.209556</td>\\n\",\n       \"      <td>12.792889</td>\\n\",\n       \"      <td>12.382889</td>\\n\",\n       \"      <td>11.967889</td>\\n\",\n       \"      <td>11.735778</td>\\n\",\n       \"      <td>11.886667</td>\\n\",\n       \"      <td>12.503778</td>\\n\",\n       \"      <td>13.338167</td>\\n\",\n       \"      <td>14.343444</td>\\n\",\n       \"      <td>15.665475</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>18.630556</td>\\n\",\n       \"      <td>18.866292</td>\\n\",\n       \"      <td>18.680611</td>\\n\",\n       \"      <td>18.529832</td>\\n\",\n       \"      <td>20.057877</td>\\n\",\n       \"      <td>18.853389</td>\\n\",\n       \"      <td>16.969777</td>\\n\",\n       \"      <td>15.675111</td>\\n\",\n       \"      <td>14.658778</td>\\n\",\n       \"      <td>13.898167</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>7</th>\\n\",\n       \"      <td>17.956344</td>\\n\",\n       \"      <td>17.348641</td>\\n\",\n       \"      <td>16.793152</td>\\n\",\n       \"      <td>16.309892</td>\\n\",\n       \"      <td>16.001559</td>\\n\",\n       \"      <td>15.986774</td>\\n\",\n       \"      <td>16.506613</td>\\n\",\n       \"      <td>17.478226</td>\\n\",\n       \"      <td>18.850054</td>\\n\",\n       \"      <td>20.533763</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>24.598441</td>\\n\",\n       \"      <td>25.030000</td>\\n\",\n       \"      <td>24.869194</td>\\n\",\n       \"      <td>24.764409</td>\\n\",\n       \"      <td>26.155161</td>\\n\",\n       \"      <td>24.896505</td>\\n\",\n       \"      <td>22.550269</td>\\n\",\n       \"      <td>20.882649</td>\\n\",\n       \"      <td>19.699022</td>\\n\",\n       \"      <td>18.822634</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>8</th>\\n\",\n       \"      <td>14.498205</td>\\n\",\n       \"      <td>13.960128</td>\\n\",\n       \"      <td>13.555128</td>\\n\",\n       \"      <td>12.995641</td>\\n\",\n       \"      <td>12.651410</td>\\n\",\n       \"      <td>12.485974</td>\\n\",\n       \"      <td>12.680130</td>\\n\",\n       \"      <td>13.403506</td>\\n\",\n       \"      <td>14.578780</td>\\n\",\n       \"      <td>16.170833</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>20.473810</td>\\n\",\n       \"      <td>20.292381</td>\\n\",\n       \"      <td>20.328795</td>\\n\",\n       \"      <td>19.642436</td>\\n\",\n       \"      <td>19.373846</td>\\n\",\n       \"      <td>18.713462</td>\\n\",\n       \"      <td>17.034872</td>\\n\",\n       \"      <td>15.843590</td>\\n\",\n       \"      <td>15.146154</td>\\n\",\n       \"      <td>14.596667</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>9</th>\\n\",\n       \"      <td>11.133000</td>\\n\",\n       \"      <td>10.725667</td>\\n\",\n       \"      <td>10.362444</td>\\n\",\n       \"      <td>9.976833</td>\\n\",\n       \"      <td>9.729333</td>\\n\",\n       \"      <td>9.503944</td>\\n\",\n       \"      <td>9.357500</td>\\n\",\n       \"      <td>9.689778</td>\\n\",\n       \"      <td>10.600778</td>\\n\",\n       \"      <td>11.829106</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>16.336983</td>\\n\",\n       \"      <td>16.828268</td>\\n\",\n       \"      <td>17.031056</td>\\n\",\n       \"      <td>16.786983</td>\\n\",\n       \"      <td>15.853556</td>\\n\",\n       \"      <td>14.534637</td>\\n\",\n       \"      <td>13.350444</td>\\n\",\n       \"      <td>12.545278</td>\\n\",\n       \"      <td>11.954190</td>\\n\",\n       \"      <td>11.399056</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>10</th>\\n\",\n       \"      <td>8.602011</td>\\n\",\n       \"      <td>8.490598</td>\\n\",\n       \"      <td>8.382486</td>\\n\",\n       \"      <td>8.257097</td>\\n\",\n       \"      <td>8.166774</td>\\n\",\n       \"      <td>8.140054</td>\\n\",\n       \"      <td>8.140161</td>\\n\",\n       \"      <td>8.148333</td>\\n\",\n       \"      <td>8.410914</td>\\n\",\n       \"      <td>9.054946</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>11.330323</td>\\n\",\n       \"      <td>11.189194</td>\\n\",\n       \"      <td>10.836865</td>\\n\",\n       \"      <td>10.361568</td>\\n\",\n       \"      <td>9.781022</td>\\n\",\n       \"      <td>9.373441</td>\\n\",\n       \"      <td>9.134570</td>\\n\",\n       \"      <td>8.956505</td>\\n\",\n       \"      <td>8.820270</td>\\n\",\n       \"      <td>8.623297</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>11</th>\\n\",\n       \"      <td>4.847111</td>\\n\",\n       \"      <td>4.765922</td>\\n\",\n       \"      <td>4.815642</td>\\n\",\n       \"      <td>4.773240</td>\\n\",\n       \"      <td>4.809611</td>\\n\",\n       \"      <td>4.785833</td>\\n\",\n       \"      <td>4.741222</td>\\n\",\n       \"      <td>4.739778</td>\\n\",\n       \"      <td>4.794500</td>\\n\",\n       \"      <td>4.965389</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>5.526034</td>\\n\",\n       \"      <td>5.342753</td>\\n\",\n       \"      <td>5.081250</td>\\n\",\n       \"      <td>5.056629</td>\\n\",\n       \"      <td>4.959106</td>\\n\",\n       \"      <td>4.868111</td>\\n\",\n       \"      <td>4.833333</td>\\n\",\n       \"      <td>4.774389</td>\\n\",\n       \"      <td>4.720722</td>\\n\",\n       \"      <td>4.699722</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>12</th>\\n\",\n       \"      <td>-0.366369</td>\\n\",\n       \"      <td>-0.390556</td>\\n\",\n       \"      <td>-0.447374</td>\\n\",\n       \"      <td>-0.370111</td>\\n\",\n       \"      <td>-0.353128</td>\\n\",\n       \"      <td>-0.319832</td>\\n\",\n       \"      <td>-0.358667</td>\\n\",\n       \"      <td>-0.410278</td>\\n\",\n       \"      <td>-0.483167</td>\\n\",\n       \"      <td>-0.344667</td>\\n\",\n       \"      <td>...</td>\\n\",\n       \"      <td>0.738944</td>\\n\",\n       \"      <td>0.367056</td>\\n\",\n       \"      <td>0.152167</td>\\n\",\n       \"      <td>-0.106111</td>\\n\",\n       \"      <td>-0.182500</td>\\n\",\n       \"      <td>-0.244167</td>\\n\",\n       \"      <td>-0.290000</td>\\n\",\n       \"      <td>-0.305333</td>\\n\",\n       \"      <td>-0.302778</td>\\n\",\n       \"      <td>-0.325642</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"<p>12 rows × 24 columns</p>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"hour          0          1          2          3          4          5   \\\\\\n\",\n       \"month                                                                     \\n\",\n       \"1      -1.692312  -1.750162  -1.826649  -1.879086  -1.922527  -1.968065   \\n\",\n       \"2       1.613690   1.521190   1.479405   1.464371   1.506407   1.485595   \\n\",\n       \"3       3.192366   2.866774   2.628000   2.524140   2.384140   2.235538   \\n\",\n       \"4       5.832738   5.336012   4.926667   4.597059   4.380000   4.109769   \\n\",\n       \"5       9.792204   9.369351   9.009839   8.670914   8.463387   8.446919   \\n\",\n       \"6      13.209556  12.792889  12.382889  11.967889  11.735778  11.886667   \\n\",\n       \"7      17.956344  17.348641  16.793152  16.309892  16.001559  15.986774   \\n\",\n       \"8      14.498205  13.960128  13.555128  12.995641  12.651410  12.485974   \\n\",\n       \"9      11.133000  10.725667  10.362444   9.976833   9.729333   9.503944   \\n\",\n       \"10      8.602011   8.490598   8.382486   8.257097   8.166774   8.140054   \\n\",\n       \"11      4.847111   4.765922   4.815642   4.773240   4.809611   4.785833   \\n\",\n       \"12     -0.366369  -0.390556  -0.447374  -0.370111  -0.353128  -0.319832   \\n\",\n       \"\\n\",\n       \"hour          6          7          8          9   ...         14         15  \\\\\\n\",\n       \"month                                              ...                         \\n\",\n       \"1      -2.020914  -2.035806  -2.101774  -2.001022  ...  -1.457849  -1.696935   \\n\",\n       \"2       1.499167   1.516946   1.669226   2.067725  ...   3.573593   3.360741   \\n\",\n       \"3       2.243387   2.622258   3.419301   4.466290  ...   7.790323   7.930914   \\n\",\n       \"4       4.123699   4.741437   5.878035   7.272299  ...  12.175556  12.500059   \\n\",\n       \"5       8.772324   9.562742  10.723622  12.047717  ...  15.542581  15.744624   \\n\",\n       \"6      12.503778  13.338167  14.343444  15.665475  ...  18.630556  18.866292   \\n\",\n       \"7      16.506613  17.478226  18.850054  20.533763  ...  24.598441  25.030000   \\n\",\n       \"8      12.680130  13.403506  14.578780  16.170833  ...  20.473810  20.292381   \\n\",\n       \"9       9.357500   9.689778  10.600778  11.829106  ...  16.336983  16.828268   \\n\",\n       \"10      8.140161   8.148333   8.410914   9.054946  ...  11.330323  11.189194   \\n\",\n       \"11      4.741222   4.739778   4.794500   4.965389  ...   5.526034   5.342753   \\n\",\n       \"12     -0.358667  -0.410278  -0.483167  -0.344667  ...   0.738944   0.367056   \\n\",\n       \"\\n\",\n       \"hour          16         17         18         19         20         21  \\\\\\n\",\n       \"month                                                                     \\n\",\n       \"1      -1.814194  -1.812258  -1.853297  -1.898432  -1.839730  -1.806486   \\n\",\n       \"2       2.939390   2.501607   2.357425   2.236190   2.204458   2.137619   \\n\",\n       \"3       7.595892   6.770914   5.731508   4.983784   4.437419   4.022312   \\n\",\n       \"4      12.494483  12.361156  11.989240  10.454881   8.857619   7.712619   \\n\",\n       \"5      15.784839  15.799570  17.009892  15.685161  13.632796  12.216290   \\n\",\n       \"6      18.680611  18.529832  20.057877  18.853389  16.969777  15.675111   \\n\",\n       \"7      24.869194  24.764409  26.155161  24.896505  22.550269  20.882649   \\n\",\n       \"8      20.328795  19.642436  19.373846  18.713462  17.034872  15.843590   \\n\",\n       \"9      17.031056  16.786983  15.853556  14.534637  13.350444  12.545278   \\n\",\n       \"10     10.836865  10.361568   9.781022   9.373441   9.134570   8.956505   \\n\",\n       \"11      5.081250   5.056629   4.959106   4.868111   4.833333   4.774389   \\n\",\n       \"12      0.152167  -0.106111  -0.182500  -0.244167  -0.290000  -0.305333   \\n\",\n       \"\\n\",\n       \"hour          22         23  \\n\",\n       \"month                        \\n\",\n       \"1      -1.854462  -1.890811  \\n\",\n       \"2       2.024671   1.896190  \\n\",\n       \"3       3.657903   3.407258  \\n\",\n       \"4       6.974762   6.293512  \\n\",\n       \"5      11.291237  10.622849  \\n\",\n       \"6      14.658778  13.898167  \\n\",\n       \"7      19.699022  18.822634  \\n\",\n       \"8      15.146154  14.596667  \\n\",\n       \"9      11.954190  11.399056  \\n\",\n       \"10      8.820270   8.623297  \\n\",\n       \"11      4.720722   4.699722  \\n\",\n       \"12     -0.302778  -0.325642  \\n\",\n       \"\\n\",\n       \"[12 rows x 24 columns]\"\n      ]\n     },\n     \"execution_count\": 176,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"table\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 177,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(8, 4))\\n\",\n    \"sns.heatmap(table, ax=ax);\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch12-seaborn-heatmap.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Versions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 178,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%reload_ext version_information\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 179,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/json\": {\n       \"Software versions\": [\n        {\n         \"module\": \"Python\",\n         \"version\": \"3.10.12 64bit [Clang 14.0.6 ]\"\n        },\n        {\n         \"module\": \"IPython\",\n         \"version\": \"8.12.0\"\n        },\n        {\n         \"module\": \"OS\",\n         \"version\": \"macOS 10.15.7 x86_64 i386 64bit\"\n        },\n        {\n         \"module\": \"numpy\",\n         \"version\": \"1.22.3\"\n        },\n        {\n         \"module\": \"matplotlib\",\n         \"version\": \"3.7.1\"\n        },\n        {\n         \"module\": \"pandas\",\n         \"version\": \"2.0.3\"\n        },\n        {\n         \"module\": \"seaborn\",\n         \"version\": \"0.12.2\"\n        }\n       ]\n      },\n      \"text/html\": [\n       \"<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.10.12 64bit [Clang 14.0.6 ]</td></tr><tr><td>IPython</td><td>8.12.0</td></tr><tr><td>OS</td><td>macOS 10.15.7 x86\\\\_64 i386 64bit</td></tr><tr><td>numpy</td><td>1.22.3</td></tr><tr><td>matplotlib</td><td>3.7.1</td></tr><tr><td>pandas</td><td>2.0.3</td></tr><tr><td>seaborn</td><td>0.12.2</td></tr><tr><td colspan='2'>Sun Nov 03 07:25:50 2024 JST</td></tr></table>\"\n      ],\n      \"text/latex\": [\n       \"\\\\begin{tabular}{|l|l|}\\\\hline\\n\",\n       \"{\\\\bf Software} & {\\\\bf Version} \\\\\\\\ \\\\hline\\\\hline\\n\",\n       \"Python & 3.10.12 64bit [Clang 14.0.6 ] \\\\\\\\ \\\\hline\\n\",\n       \"IPython & 8.12.0 \\\\\\\\ \\\\hline\\n\",\n       \"OS & macOS 10.15.7 x86\\\\_64 i386 64bit \\\\\\\\ \\\\hline\\n\",\n       \"numpy & 1.22.3 \\\\\\\\ \\\\hline\\n\",\n       \"matplotlib & 3.7.1 \\\\\\\\ \\\\hline\\n\",\n       \"pandas & 2.0.3 \\\\\\\\ \\\\hline\\n\",\n       \"seaborn & 0.12.2 \\\\\\\\ \\\\hline\\n\",\n       \"\\\\hline \\\\multicolumn{2}{|l|}{Sun Nov 03 07:25:50 2024 JST} \\\\\\\\ \\\\hline\\n\",\n       \"\\\\end{tabular}\\n\"\n      ],\n      \"text/plain\": [\n       \"Software versions\\n\",\n       \"Python 3.10.12 64bit [Clang 14.0.6 ]\\n\",\n       \"IPython 8.12.0\\n\",\n       \"OS macOS 10.15.7 x86_64 i386 64bit\\n\",\n       \"numpy 1.22.3\\n\",\n       \"matplotlib 3.7.1\\n\",\n       \"pandas 2.0.3\\n\",\n       \"seaborn 0.12.2\\n\",\n       \"Sun Nov 03 07:25:50 2024 JST\"\n      ]\n     },\n     \"execution_count\": 179,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%version_information numpy, matplotlib, pandas, seaborn\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"npbook_py310\",\n   \"language\": \"python\",\n   \"name\": \"npbook_py310\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "ch13-code-listing.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Chapter 13: Statistics\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Imports\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from scipy import stats\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from scipy import optimize\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\\n\",\n    \"import random\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%matplotlib inline\\n\",\n    \"import matplotlib.pyplot as plt\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import matplotlib as mpl\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"mpl.rcParams['mathtext.fontset'] = 'stix'\\n\",\n    \"mpl.rcParams['font.family'] = 'serif'\\n\",\n    \"mpl.rcParams['font.sans-serif'] = 'stix'\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import seaborn as sns\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"sns.set(style=\\\"whitegrid\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Descriptive statistics\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.array([3.5, 1.1, 3.2, 2.8, 6.7, 4.4, 0.9, 2.2])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"3.1\"\n      ]\n     },\n     \"execution_count\": 10,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.mean(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"3.0\"\n      ]\n     },\n     \"execution_count\": 11,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.median(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(0.9, 6.7)\"\n      ]\n     },\n     \"execution_count\": 12,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x.min(), x.max()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"3.0700000000000007\"\n      ]\n     },\n     \"execution_count\": 13,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x.var()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"1.7521415467935233\"\n      ]\n     },\n     \"execution_count\": 14,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x.std()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"3.5085714285714293\"\n      ]\n     },\n     \"execution_count\": 15,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x.var(ddof=1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"1.8731181032095732\"\n      ]\n     },\n     \"execution_count\": 16,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"x.std(ddof=1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Random numbers\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"random.seed(123456789)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.6414006161858726\"\n      ]\n     },\n     \"execution_count\": 18,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"random.random()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"8\"\n      ]\n     },\n     \"execution_count\": 19,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"random.randint(0, 10)  # 0 and 10 inclusive\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"np.random.seed(123456789)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.532833024789759\"\n      ]\n     },\n     \"execution_count\": 21,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.random.rand()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.8768342101492541\"\n      ]\n     },\n     \"execution_count\": 22,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.random.randn()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0.71356403, 0.25699895, 0.75269361, 0.88387918, 0.15489908])\"\n      ]\n     },\n     \"execution_count\": 23,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.random.rand(5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[ 3.13325952,  1.15727052,  1.37591514,  0.94302846],\\n\",\n       \"       [ 0.8478706 ,  0.52969142, -0.56940469,  0.83180456]])\"\n      ]\n     },\n     \"execution_count\": 24,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.random.randn(2, 4)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 3, 8, 3, 9, 0, 6, 9, 2, 7])\"\n      ]\n     },\n     \"execution_count\": 25,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.random.randint(10, size=10)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[12, 18, 18, 17, 14, 12, 14, 10, 16, 19],\\n\",\n       \"       [15, 13, 15, 18, 11, 17, 17, 10, 13, 17]])\"\n      ]\n     },\n     \"execution_count\": 26,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.random.randint(low=10, high=20, size=(2, 10))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x300 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 3, figsize=(12, 3))\\n\",\n    \"\\n\",\n    \"axes[0].hist(np.random.rand(10000))\\n\",\n    \"axes[0].set_title(\\\"rand\\\")\\n\",\n    \"axes[1].hist(np.random.randn(10000))\\n\",\n    \"axes[1].set_title(\\\"randn\\\")\\n\",\n    \"axes[2].hist(np.random.randint(low=1, high=10, size=10000), bins=9, align='left')\\n\",\n    \"axes[2].set_title(\\\"randint(low=1, high=10)\\\")\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch13-random-hist.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"#random.sample(range(10), 5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([9, 0, 5, 8, 1])\"\n      ]\n     },\n     \"execution_count\": 29,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.random.choice(10, 5, replace=False)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"np.random.seed(123456789)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.532833024789759\"\n      ]\n     },\n     \"execution_count\": 31,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.random.rand()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 32,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.532833024789759\"\n      ]\n     },\n     \"execution_count\": 32,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.random.seed(123456789); np.random.rand()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 33,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.532833024789759\"\n      ]\n     },\n     \"execution_count\": 33,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.random.seed(123456789); np.random.rand()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 34,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"prng = np.random.RandomState(123456789)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 35,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[ 2.212902  ,  2.1283978 ,  1.8417114 ,  0.08238248],\\n\",\n       \"       [ 0.85896368, -0.82601643,  1.15727052,  1.37591514]])\"\n      ]\n     },\n     \"execution_count\": 35,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"prng.randn(2, 4)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 36,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[1.26859720e+00, 2.02731988e+00],\\n\",\n       \"       [2.52605129e-05, 3.00376585e-04]])\"\n      ]\n     },\n     \"execution_count\": 36,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"prng.chisquare(1, size=(2, 2))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 37,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[ 0.59734384, -1.27669959,  0.09724793],\\n\",\n       \"       [ 0.22451466,  0.39697518, -0.19469463]])\"\n      ]\n     },\n     \"execution_count\": 37,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"prng.standard_t(1, size=(2, 3))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 38,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[ 0.77372119,  0.1213796 ,  1.64779052,  1.21399831],\\n\",\n       \"       [ 0.45471421, 17.64891848,  1.48620557,  2.55433261]])\"\n      ]\n     },\n     \"execution_count\": 38,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"prng.f(5, 2, size=(2, 4))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 39,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([8, 3, 4, 2, 4, 5, 4, 4, 7, 5])\"\n      ]\n     },\n     \"execution_count\": 39,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"prng.binomial(10, 0.5, size=10)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 40,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([7, 1, 3, 4, 6, 4, 9, 7, 3, 6])\"\n      ]\n     },\n     \"execution_count\": 40,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"prng.poisson(5, size=10)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Probability distributions and random variables\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 41,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"np.random.seed(123456789)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 42,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"X = stats.norm(1, 0.5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 43,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"1.0\"\n      ]\n     },\n     \"execution_count\": 43,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"X.mean()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 44,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"1.0\"\n      ]\n     },\n     \"execution_count\": 44,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"X.median()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 45,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.5\"\n      ]\n     },\n     \"execution_count\": 45,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"X.std()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 46,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    },\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.25\"\n      ]\n     },\n     \"execution_count\": 46,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"X.var()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 47,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[1.0, 1.0, 1.25, 1.75, 2.6875]\"\n      ]\n     },\n     \"execution_count\": 47,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"[X.moment(n) for n in range(5)]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 48,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(array(1.), array(0.25))\"\n      ]\n     },\n     \"execution_count\": 48,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"X.stats()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 49,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0.10798193, 0.79788456, 0.10798193])\"\n      ]\n     },\n     \"execution_count\": 49,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"X.pdf([0, 1, 2])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 50,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0.02275013, 0.5       , 0.97724987])\"\n      ]\n     },\n     \"execution_count\": 50,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"X.cdf([0, 1, 2])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 51,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([2.106451  , 2.0641989 , 1.9208557 , 1.04119124, 1.42948184,\\n\",\n       \"       0.58699179, 1.57863526, 1.68795757, 1.47151423, 1.4239353 ])\"\n      ]\n     },\n     \"execution_count\": 51,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"X.rvs(10)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 52,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(array(1.), array(0.25))\"\n      ]\n     },\n     \"execution_count\": 52,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"stats.norm(1, 0.5).stats()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 53,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(array(2.), array(0.25))\"\n      ]\n     },\n     \"execution_count\": 53,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"stats.norm.stats(loc=2, scale=0.5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 54,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(0.020018007729972975, 1.979981992270027)\"\n      ]\n     },\n     \"execution_count\": 54,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"X.interval(0.95)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 55,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(-0.2879146517744502, 2.28791465177445)\"\n      ]\n     },\n     \"execution_count\": 55,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"X.interval(0.99)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 56,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def plot_rv_distribution(X, axes=None):\\n\",\n    \"    \\\"\\\"\\\"Plot the PDF, CDF, SF and PPF of a given random variable\\\"\\\"\\\"\\n\",\n    \"    if axes is None:\\n\",\n    \"        fig, axes = plt.subplots(1, 3, figsize=(12, 3))\\n\",\n    \"    \\n\",\n    \"    x_min_999, x_max_999 = X.interval(0.999)\\n\",\n    \"    x999 = np.linspace(x_min_999, x_max_999, 1000)\\n\",\n    \"\\n\",\n    \"    x_min_95, x_max_95 = X.interval(0.95)\\n\",\n    \"    x95 = np.linspace(x_min_95, x_max_95, 1000)\\n\",\n    \"\\n\",\n    \"    if hasattr(X.dist, 'pdf'):\\n\",\n    \"        axes[0].plot(x999, X.pdf(x999), label=\\\"PDF\\\")\\n\",\n    \"        axes[0].fill_between(x95, X.pdf(x95), alpha=0.25)\\n\",\n    \"    else:\\n\",\n    \"        x999_int = np.unique(x999.astype(int))\\n\",\n    \"        axes[0].bar(x999_int, X.pmf(x999_int), label=\\\"PMF\\\")\\n\",\n    \"    axes[1].plot(x999, X.cdf(x999), label=\\\"CDF\\\")\\n\",\n    \"    axes[1].plot(x999, X.sf(x999), label=\\\"SF\\\")\\n\",\n    \"    axes[2].plot(x999, X.ppf(x999), label=\\\"PPF\\\")\\n\",\n    \"    \\n\",\n    \"    for ax in axes:\\n\",\n    \"        ax.legend()\\n\",\n    \"    \\n\",\n    \"    return axes\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 57,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x900 with 9 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(3, 3, figsize=(12, 9))\\n\",\n    \"\\n\",\n    \"X = stats.norm()\\n\",\n    \"plot_rv_distribution(X, axes=axes[0, :])\\n\",\n    \"axes[0, 0].set_ylabel(\\\"Normal dist.\\\")\\n\",\n    \"X = stats.f(2, 50)\\n\",\n    \"plot_rv_distribution(X, axes=axes[1, :])\\n\",\n    \"axes[1, 0].set_ylabel(\\\"F dist.\\\")\\n\",\n    \"X = stats.poisson(5)\\n\",\n    \"plot_rv_distribution(X, axes=axes[2, :])\\n\",\n    \"axes[2, 0].set_ylabel(\\\"Poisson dist.\\\")\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch13-distributions.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 58,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def plot_dist_samples(X, X_samples, title=None, ax=None):\\n\",\n    \"    \\\"\\\"\\\" Plot the PDF and histogram of samples of a continuous random variable\\\"\\\"\\\"\\n\",\n    \"    if ax is None:\\n\",\n    \"        fig, ax = plt.subplots(1, 1, figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"    x_lim = X.interval(.99)\\n\",\n    \"    x = np.linspace(*x_lim, num=100)\\n\",\n    \"\\n\",\n    \"    ax.plot(x, X.pdf(x), label=\\\"PDF\\\", lw=3)    \\n\",\n    \"    ax.hist(X_samples, label=\\\"samples\\\", density=True, bins=75)\\n\",\n    \"    ax.set_xlim(*x_lim)\\n\",\n    \"    ax.legend()\\n\",\n    \"    \\n\",\n    \"    if title:\\n\",\n    \"        ax.set_title(title)\\n\",\n    \"    return ax\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 59,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x300 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 3, figsize=(12, 3))\\n\",\n    \"X = stats.t(7.0)\\n\",\n    \"plot_dist_samples(X, X.rvs(2000), \\\"Student's t dist.\\\", ax=axes[0])\\n\",\n    \"X = stats.chi2(5.0)\\n\",\n    \"plot_dist_samples(X, X.rvs(2000), r\\\"$\\\\chi^2$ dist.\\\", ax=axes[1])\\n\",\n    \"X = stats.expon(0.5)\\n\",\n    \"plot_dist_samples(X, X.rvs(2000), \\\"exponential dist.\\\", ax=axes[2])\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch13-dist-sample.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 60,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"X = stats.chi2(df=5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 61,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"X_samples = X.rvs(500)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 62,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df, loc, scale = stats.chi2.fit(X_samples)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 63,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(4.728645123391404, 0.03257330219133387, 1.0734482977974253)\"\n      ]\n     },\n     \"execution_count\": 63,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df, loc, scale\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 64,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"Y = stats.chi2(df=df, loc=loc, scale=scale)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 65,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(8, 3))\\n\",\n    \"\\n\",\n    \"x_lim = X.interval(.99)\\n\",\n    \"x = np.linspace(*x_lim, num=100)\\n\",\n    \"\\n\",\n    \"ax.plot(x, X.pdf(x), label=\\\"original\\\")\\n\",\n    \"ax.plot(x, Y.pdf(x), label=\\\"recreated\\\")\\n\",\n    \"ax.legend()\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch13-max-likelihood-fit.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 66,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 2, figsize=(12, 4))\\n\",\n    \"\\n\",\n    \"x_lim = X.interval(.99)\\n\",\n    \"x = np.linspace(*x_lim, num=100)\\n\",\n    \"\\n\",\n    \"axes[0].plot(x, X.pdf(x), label=\\\"original\\\")\\n\",\n    \"axes[0].plot(x, Y.pdf(x), label=\\\"recreated\\\")\\n\",\n    \"axes[0].legend()\\n\",\n    \"\\n\",\n    \"axes[1].plot(x, X.pdf(x) - Y.pdf(x), label=\\\"error\\\")\\n\",\n    \"axes[1].legend()\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch13-max-likelihood-fit.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Hypothesis testing\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 67,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"np.random.seed(123456789)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 68,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"mu, sigma = 1.0, 0.5\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 69,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"X = stats.norm(mu-0.2, sigma)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 70,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"n = 100\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 71,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"X_samples = X.rvs(n)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 72,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"z = (X_samples.mean() - mu)/(sigma/np.sqrt(n))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 73,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"-2.8338979550098298\"\n      ]\n     },\n     \"execution_count\": 73,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"z\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 74,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"t = (X_samples.mean() - mu)/(X_samples.std(ddof=1)/np.sqrt(n))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 75,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"-2.9680338545657845\"\n      ]\n     },\n     \"execution_count\": 75,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"t\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 76,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"-1.9599639845400545\"\n      ]\n     },\n     \"execution_count\": 76,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"stats.norm().ppf(0.025)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 77,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.004598401329075357\"\n      ]\n     },\n     \"execution_count\": 77,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"2 * stats.norm().cdf(-abs(z))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 78,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.003758647967422721\"\n      ]\n     },\n     \"execution_count\": 78,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"2 * stats.t(df=(n-1)).cdf(-abs(t))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 79,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"t, p = stats.ttest_1samp(X_samples, mu)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 80,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"-2.968033854565784\"\n      ]\n     },\n     \"execution_count\": 80,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"t\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 81,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.003758647967422721\"\n      ]\n     },\n     \"execution_count\": 81,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"p\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 82,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 3))\\n\",\n    \"\\n\",\n    \"sns.histplot(X_samples, ax=ax, kde=True, stat=\\\"density\\\")\\n\",\n    \"x = np.linspace(*X.interval(0.999), num=100)\\n\",\n    \"ax.plot(x, stats.norm(loc=mu, scale=sigma).pdf(x))\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch13-hypothesis-test-dist-sample-mean.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 83,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"n = 50\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 84,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"mu1, mu2 = np.random.rand(2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 85,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(0.24764580637159606, 0.42145435527527897)\"\n      ]\n     },\n     \"execution_count\": 85,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"mu1, mu2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 86,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"X1 = stats.norm(mu1, sigma)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 87,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"X1_sample = X1.rvs(n)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 88,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"X2 = stats.norm(mu2, sigma)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 89,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"X2_sample = X2.rvs(n)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 90,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"t, p = stats.ttest_ind(X1_sample, X2_sample)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 91,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"-1.4283175246005888\"\n      ]\n     },\n     \"execution_count\": 91,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"t\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 92,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.15637981059673237\"\n      ]\n     },\n     \"execution_count\": 92,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"p\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 93,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(0.24764580637159606, 0.42145435527527897)\"\n      ]\n     },\n     \"execution_count\": 93,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"mu1, mu2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 94,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<Axes: ylabel='Count'>\"\n      ]\n     },\n     \"execution_count\": 94,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"sns.histplot(X1_sample)\\n\",\n    \"sns.histplot(X2_sample)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Nonparameteric methods\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 95,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"np.random.seed(0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 96,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"X = stats.chi2(df=5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 97,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"X_samples = X.rvs(100)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 98,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"kde = stats.gaussian_kde(X_samples)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 99,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"kde_low_bw = stats.gaussian_kde(X_samples, bw_method=0.25)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 100,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.linspace(0, 20, 100)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 101,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x300 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 3, figsize=(12, 3))\\n\",\n    \"\\n\",\n    \"axes[0].hist(X_samples, density=True, alpha=0.5, bins=25)\\n\",\n    \"axes[1].plot(x, kde(x), label=\\\"KDE\\\")\\n\",\n    \"axes[1].plot(x, kde_low_bw(x), label=\\\"KDE (low bw)\\\")\\n\",\n    \"axes[1].plot(x, X.pdf(x), label=\\\"True PDF\\\")\\n\",\n    \"axes[1].legend()\\n\",\n    \"sns.histplot(X_samples, bins=25, ax=axes[2], kde=True, stat='density')\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch13-hist-kde.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 102,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[ 1.10979087,  0.4379679 , 14.20879078,  5.94683846,  1.78490438,\\n\",\n       \"         5.58416739,  4.18349885,  2.78527976,  0.68112826,  7.7643985 ]])\"\n      ]\n     },\n     \"execution_count\": 102,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"kde.resample(10)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 103,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def _kde_cdf(x):\\n\",\n    \"    return kde.integrate_box_1d(-np.inf, x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 104,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"kde_cdf = np.vectorize(_kde_cdf)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 105,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(8, 3))\\n\",\n    \"\\n\",\n    \"sns.histplot(X_samples, bins=25, ax=ax, kde=True, stat='density')\\n\",\n    \"x = np.linspace(0, 20, 100)\\n\",\n    \"ax.plot(x, kde_cdf(x))\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 106,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def _kde_ppf(q):\\n\",\n    \"    return optimize.fsolve(lambda x, q: kde_cdf(x) - q, kde.dataset.mean(), args=(q,))[0]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 107,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"kde_ppf = np.vectorize(_kde_ppf)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 108,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 0.39074674, 11.94993578])\"\n      ]\n     },\n     \"execution_count\": 108,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"kde_ppf([0.05, 0.95])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 109,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 1.14547623, 11.07049769])\"\n      ]\n     },\n     \"execution_count\": 109,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"X.ppf([0.05, 0.95])\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Versions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 110,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%reload_ext version_information\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 111,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/json\": {\n       \"Software versions\": [\n        {\n         \"module\": \"Python\",\n         \"version\": \"3.10.12 64bit [Clang 14.0.6 ]\"\n        },\n        {\n         \"module\": \"IPython\",\n         \"version\": \"8.12.0\"\n        },\n        {\n         \"module\": \"OS\",\n         \"version\": \"macOS 10.15.7 x86_64 i386 64bit\"\n        },\n        {\n         \"module\": \"numpy\",\n         \"version\": \"1.22.3\"\n        },\n        {\n         \"module\": \"scipy\",\n         \"version\": \"1.7.3\"\n        },\n        {\n         \"module\": \"matplotlib\",\n         \"version\": \"3.7.1\"\n        },\n        {\n         \"module\": \"seaborn\",\n         \"version\": \"0.12.2\"\n        }\n       ]\n      },\n      \"text/html\": [\n       \"<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.10.12 64bit [Clang 14.0.6 ]</td></tr><tr><td>IPython</td><td>8.12.0</td></tr><tr><td>OS</td><td>macOS 10.15.7 x86\\\\_64 i386 64bit</td></tr><tr><td>numpy</td><td>1.22.3</td></tr><tr><td>scipy</td><td>1.7.3</td></tr><tr><td>matplotlib</td><td>3.7.1</td></tr><tr><td>seaborn</td><td>0.12.2</td></tr><tr><td colspan='2'>Sun Nov 03 09:06:21 2024 JST</td></tr></table>\"\n      ],\n      \"text/latex\": [\n       \"\\\\begin{tabular}{|l|l|}\\\\hline\\n\",\n       \"{\\\\bf Software} & {\\\\bf Version} \\\\\\\\ \\\\hline\\\\hline\\n\",\n       \"Python & 3.10.12 64bit [Clang 14.0.6 ] \\\\\\\\ \\\\hline\\n\",\n       \"IPython & 8.12.0 \\\\\\\\ \\\\hline\\n\",\n       \"OS & macOS 10.15.7 x86\\\\_64 i386 64bit \\\\\\\\ \\\\hline\\n\",\n       \"numpy & 1.22.3 \\\\\\\\ \\\\hline\\n\",\n       \"scipy & 1.7.3 \\\\\\\\ \\\\hline\\n\",\n       \"matplotlib & 3.7.1 \\\\\\\\ \\\\hline\\n\",\n       \"seaborn & 0.12.2 \\\\\\\\ \\\\hline\\n\",\n       \"\\\\hline \\\\multicolumn{2}{|l|}{Sun Nov 03 09:06:21 2024 JST} \\\\\\\\ \\\\hline\\n\",\n       \"\\\\end{tabular}\\n\"\n      ],\n      \"text/plain\": [\n       \"Software versions\\n\",\n       \"Python 3.10.12 64bit [Clang 14.0.6 ]\\n\",\n       \"IPython 8.12.0\\n\",\n       \"OS macOS 10.15.7 x86_64 i386 64bit\\n\",\n       \"numpy 1.22.3\\n\",\n       \"scipy 1.7.3\\n\",\n       \"matplotlib 3.7.1\\n\",\n       \"seaborn 0.12.2\\n\",\n       \"Sun Nov 03 09:06:21 2024 JST\"\n      ]\n     },\n     \"execution_count\": 111,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%version_information numpy, scipy, matplotlib, seaborn\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"npbook_py310\",\n   \"language\": \"python\",\n   \"name\": \"npbook_py310\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "ch14-code-listing.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Chapter 14: Statistical modelling\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import statsmodels.api as sm\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import statsmodels.formula.api as smf\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import statsmodels.graphics.api as smg\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import patsy\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%matplotlib inline\\n\",\n    \"import matplotlib.pyplot as plt\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import matplotlib as mpl\\n\",\n    \"mpl.rcParams['mathtext.fontset'] = 'stix'\\n\",\n    \"mpl.rcParams['font.family'] = 'serif'\\n\",\n    \"mpl.rcParams['font.sans-serif'] = 'stix'\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import pandas as pd\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from scipy import stats\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import seaborn as sns\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"sns.set(style=\\\"whitegrid\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Statistical models and patsy formula\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"np.random.seed(123456789)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y = np.array([1, 2, 3, 4, 5])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x1 = np.array([6, 7, 8, 9, 10])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x2 = np.array([11, 12, 13, 14, 15])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"X = np.vstack([np.ones(5), x1, x2, x1*x2]).T\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[  1.,   6.,  11.,  66.],\\n\",\n       \"       [  1.,   7.,  12.,  84.],\\n\",\n       \"       [  1.,   8.,  13., 104.],\\n\",\n       \"       [  1.,   9.,  14., 126.],\\n\",\n       \"       [  1.,  10.,  15., 150.]])\"\n      ]\n     },\n     \"execution_count\": 17,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"X\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/var/folders/dw/s8n_0fz93_517nztg9jpvkb80000gn/T/ipykernel_30051/927016155.py:1: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.\\n\",\n      \"To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.\\n\",\n      \"  beta, res, rank, sval = np.linalg.lstsq(X, y)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"beta, res, rank, sval = np.linalg.lstsq(X, y)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([-5.55555556e-01,  1.88888889e+00, -8.88888889e-01, -8.88178420e-16])\"\n      ]\n     },\n     \"execution_count\": 19,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"beta\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data = {\\\"y\\\": y, \\\"x1\\\": x1, \\\"x2\\\": x2}\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y, X = patsy.dmatrices(\\\"y ~ 1 + x1 + x2 + x1*x2\\\", data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"DesignMatrix with shape (5, 1)\\n\",\n       \"  y\\n\",\n       \"  1\\n\",\n       \"  2\\n\",\n       \"  3\\n\",\n       \"  4\\n\",\n       \"  5\\n\",\n       \"  Terms:\\n\",\n       \"    'y' (column 0)\"\n      ]\n     },\n     \"execution_count\": 22,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"y\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"DesignMatrix with shape (5, 4)\\n\",\n       \"  Intercept  x1  x2  x1:x2\\n\",\n       \"          1   6  11     66\\n\",\n       \"          1   7  12     84\\n\",\n       \"          1   8  13    104\\n\",\n       \"          1   9  14    126\\n\",\n       \"          1  10  15    150\\n\",\n       \"  Terms:\\n\",\n       \"    'Intercept' (column 0)\\n\",\n       \"    'x1' (column 1)\\n\",\n       \"    'x2' (column 2)\\n\",\n       \"    'x1:x2' (column 3)\"\n      ]\n     },\n     \"execution_count\": 23,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"X\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"patsy.design_info.DesignMatrix\"\n      ]\n     },\n     \"execution_count\": 24,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(X)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[  1.,   6.,  11.,  66.],\\n\",\n       \"       [  1.,   7.,  12.,  84.],\\n\",\n       \"       [  1.,   8.,  13., 104.],\\n\",\n       \"       [  1.,   9.,  14., 126.],\\n\",\n       \"       [  1.,  10.,  15., 150.]])\"\n      ]\n     },\n     \"execution_count\": 25,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.array(X)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_data = pd.DataFrame(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y, X = patsy.dmatrices(\\\"y ~ 1 + x1 + x2 + x1:x2\\\", df_data, return_type=\\\"dataframe\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Intercept</th>\\n\",\n       \"      <th>x1</th>\\n\",\n       \"      <th>x2</th>\\n\",\n       \"      <th>x1:x2</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1.0</td>\\n\",\n       \"      <td>6.0</td>\\n\",\n       \"      <td>11.0</td>\\n\",\n       \"      <td>66.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>1.0</td>\\n\",\n       \"      <td>7.0</td>\\n\",\n       \"      <td>12.0</td>\\n\",\n       \"      <td>84.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>1.0</td>\\n\",\n       \"      <td>8.0</td>\\n\",\n       \"      <td>13.0</td>\\n\",\n       \"      <td>104.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>1.0</td>\\n\",\n       \"      <td>9.0</td>\\n\",\n       \"      <td>14.0</td>\\n\",\n       \"      <td>126.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>1.0</td>\\n\",\n       \"      <td>10.0</td>\\n\",\n       \"      <td>15.0</td>\\n\",\n       \"      <td>150.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   Intercept    x1    x2  x1:x2\\n\",\n       \"0        1.0   6.0  11.0   66.0\\n\",\n       \"1        1.0   7.0  12.0   84.0\\n\",\n       \"2        1.0   8.0  13.0  104.0\\n\",\n       \"3        1.0   9.0  14.0  126.0\\n\",\n       \"4        1.0  10.0  15.0  150.0\"\n      ]\n     },\n     \"execution_count\": 28,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"X\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"model = sm.OLS(y, X)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"result = model.fit()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Intercept   -5.555556e-01\\n\",\n       \"x1           1.888889e+00\\n\",\n       \"x2          -8.888889e-01\\n\",\n       \"x1:x2       -8.326673e-16\\n\",\n       \"dtype: float64\"\n      ]\n     },\n     \"execution_count\": 31,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"result.params\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 32,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"model = smf.ols(\\\"y ~ 1 + x1 + x2 + x1:x2\\\", df_data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 33,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"result = model.fit()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 34,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Intercept   -5.555556e-01\\n\",\n       \"x1           1.888889e+00\\n\",\n       \"x2          -8.888889e-01\\n\",\n       \"x1:x2       -8.326673e-16\\n\",\n       \"dtype: float64\"\n      ]\n     },\n     \"execution_count\": 34,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"result.params\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 35,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"                            OLS Regression Results                            \\n\",\n      \"==============================================================================\\n\",\n      \"Dep. Variable:                      y   R-squared:                       1.000\\n\",\n      \"Model:                            OLS   Adj. R-squared:                  1.000\\n\",\n      \"Method:                 Least Squares   F-statistic:                 5.350e+26\\n\",\n      \"Date:                Sun, 03 Nov 2024   Prob (F-statistic):           1.87e-27\\n\",\n      \"Time:                        09:17:52   Log-Likelihood:                 145.03\\n\",\n      \"No. Observations:                   5   AIC:                            -284.1\\n\",\n      \"Df Residuals:                       2   BIC:                            -285.2\\n\",\n      \"Df Model:                           2                                         \\n\",\n      \"Covariance Type:            nonrobust                                         \\n\",\n      \"==============================================================================\\n\",\n      \"                 coef    std err          t      P>|t|      [0.025      0.975]\\n\",\n      \"------------------------------------------------------------------------------\\n\",\n      \"Intercept     -0.5556    2.2e-13  -2.52e+12      0.000      -0.556      -0.556\\n\",\n      \"x1             1.8889   8.23e-13    2.3e+12      0.000       1.889       1.889\\n\",\n      \"x2            -0.8889    2.8e-13  -3.17e+12      0.000      -0.889      -0.889\\n\",\n      \"x1:x2      -8.327e-16   2.58e-14     -0.032      0.977   -1.12e-13     1.1e-13\\n\",\n      \"==============================================================================\\n\",\n      \"Omnibus:                          nan   Durbin-Watson:                   0.002\\n\",\n      \"Prob(Omnibus):                    nan   Jarque-Bera (JB):                0.545\\n\",\n      \"Skew:                          -0.111   Prob(JB):                        0.762\\n\",\n      \"Kurtosis:                       1.398   Cond. No.                     6.86e+17\\n\",\n      \"==============================================================================\\n\",\n      \"\\n\",\n      \"Notes:\\n\",\n      \"[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\\n\",\n      \"[2] The smallest eigenvalue is 1.31e-31. This might indicate that there are\\n\",\n      \"strong multicollinearity problems or that the design matrix is singular.\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/Users/rob/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/statsmodels/stats/stattools.py:74: ValueWarning: omni_normtest is not valid with less than 8 observations; 5 samples were given.\\n\",\n      \"  warn(\\\"omni_normtest is not valid with less than 8 observations; %i \\\"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"print(result.summary())\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 36,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([-5.55555556e-01,  1.88888889e+00, -8.88888889e-01, -8.88178420e-16])\"\n      ]\n     },\n     \"execution_count\": 36,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"beta\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 37,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from collections import defaultdict\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 38,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data = defaultdict(lambda: np.array([1,2,3]))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 39,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['Intercept', 'a']\"\n      ]\n     },\n     \"execution_count\": 39,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"patsy.dmatrices(\\\"y ~ a\\\", data=data)[1].design_info.term_names\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 40,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['Intercept', 'a', 'b']\"\n      ]\n     },\n     \"execution_count\": 40,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"patsy.dmatrices(\\\"y ~ 1 + a + b\\\", data=data)[1].design_info.term_names\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 41,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['a', 'b']\"\n      ]\n     },\n     \"execution_count\": 41,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"patsy.dmatrices(\\\"y ~ -1 + a + b\\\", data=data)[1].design_info.term_names\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 42,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['Intercept', 'a', 'b', 'a:b']\"\n      ]\n     },\n     \"execution_count\": 42,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"patsy.dmatrices(\\\"y ~ a * b\\\", data=data)[1].design_info.term_names\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 43,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['Intercept', 'a', 'b', 'a:b', 'c', 'a:c', 'b:c', 'a:b:c']\"\n      ]\n     },\n     \"execution_count\": 43,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"patsy.dmatrices(\\\"y ~ a * b * c\\\", data=data)[1].design_info.term_names\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 44,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['Intercept', 'a', 'b', 'a:b', 'c', 'a:c', 'b:c']\"\n      ]\n     },\n     \"execution_count\": 44,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"patsy.dmatrices(\\\"y ~ a * b * c - a:b:c\\\", data=data)[1].design_info.term_names\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 45,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data = {k: np.array([]) for k in [\\\"y\\\", \\\"a\\\", \\\"b\\\", \\\"c\\\"]}\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 46,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['Intercept', 'a', 'b']\"\n      ]\n     },\n     \"execution_count\": 46,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"patsy.dmatrices(\\\"y ~ a + b\\\", data=data)[1].design_info.term_names\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 47,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['Intercept', 'I(a + b)']\"\n      ]\n     },\n     \"execution_count\": 47,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"patsy.dmatrices(\\\"y ~ I(a + b)\\\", data=data)[1].design_info.term_names\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 48,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['Intercept', 'a']\"\n      ]\n     },\n     \"execution_count\": 48,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"patsy.dmatrices(\\\"y ~ a*a\\\", data=data)[1].design_info.term_names\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 49,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['Intercept', 'I(a ** 2)']\"\n      ]\n     },\n     \"execution_count\": 49,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"patsy.dmatrices(\\\"y ~ I(a**2)\\\", data=data)[1].design_info.term_names\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 50,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['Intercept', 'np.log(a)', 'b']\"\n      ]\n     },\n     \"execution_count\": 50,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"patsy.dmatrices(\\\"y ~ np.log(a) + b\\\", data=data)[1].design_info.term_names\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 51,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"z = lambda x1, x2: x1+x2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 52,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['Intercept', 'z(a, b)']\"\n      ]\n     },\n     \"execution_count\": 52,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"patsy.dmatrices(\\\"y ~ z(a, b)\\\", data=data)[1].design_info.term_names\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Categorical variables\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 53,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data = {\\\"y\\\": [1, 2, 3], \\\"a\\\": [1, 2, 3]}\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 54,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>a</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>3.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"     a\\n\",\n       \"0  1.0\\n\",\n       \"1  2.0\\n\",\n       \"2  3.0\"\n      ]\n     },\n     \"execution_count\": 54,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"patsy.dmatrices(\\\"y ~ - 1 + a\\\", data=data, return_type=\\\"dataframe\\\")[1]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 55,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>C(a)[1]</th>\\n\",\n       \"      <th>C(a)[2]</th>\\n\",\n       \"      <th>C(a)[3]</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1.0</td>\\n\",\n       \"      <td>0.0</td>\\n\",\n       \"      <td>0.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>0.0</td>\\n\",\n       \"      <td>1.0</td>\\n\",\n       \"      <td>0.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>0.0</td>\\n\",\n       \"      <td>0.0</td>\\n\",\n       \"      <td>1.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   C(a)[1]  C(a)[2]  C(a)[3]\\n\",\n       \"0      1.0      0.0      0.0\\n\",\n       \"1      0.0      1.0      0.0\\n\",\n       \"2      0.0      0.0      1.0\"\n      ]\n     },\n     \"execution_count\": 55,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"patsy.dmatrices(\\\"y ~ - 1 + C(a)\\\", data=data, return_type=\\\"dataframe\\\")[1]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 56,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data = {\\\"y\\\": [1, 2, 3], \\\"a\\\": [\\\"type A\\\", \\\"type B\\\", \\\"type C\\\"]}\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 57,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>a[type A]</th>\\n\",\n       \"      <th>a[type B]</th>\\n\",\n       \"      <th>a[type C]</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1.0</td>\\n\",\n       \"      <td>0.0</td>\\n\",\n       \"      <td>0.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>0.0</td>\\n\",\n       \"      <td>1.0</td>\\n\",\n       \"      <td>0.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>0.0</td>\\n\",\n       \"      <td>0.0</td>\\n\",\n       \"      <td>1.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   a[type A]  a[type B]  a[type C]\\n\",\n       \"0        1.0        0.0        0.0\\n\",\n       \"1        0.0        1.0        0.0\\n\",\n       \"2        0.0        0.0        1.0\"\n      ]\n     },\n     \"execution_count\": 57,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"patsy.dmatrices(\\\"y ~ - 1 + a\\\", data=data, return_type=\\\"dataframe\\\")[1]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 58,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>C(a, Poly).Constant</th>\\n\",\n       \"      <th>C(a, Poly).Linear</th>\\n\",\n       \"      <th>C(a, Poly).Quadratic</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>1.0</td>\\n\",\n       \"      <td>-7.071068e-01</td>\\n\",\n       \"      <td>0.408248</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>1.0</td>\\n\",\n       \"      <td>-5.551115e-17</td>\\n\",\n       \"      <td>-0.816497</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>1.0</td>\\n\",\n       \"      <td>7.071068e-01</td>\\n\",\n       \"      <td>0.408248</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   C(a, Poly).Constant  C(a, Poly).Linear  C(a, Poly).Quadratic\\n\",\n       \"0                  1.0      -7.071068e-01              0.408248\\n\",\n       \"1                  1.0      -5.551115e-17             -0.816497\\n\",\n       \"2                  1.0       7.071068e-01              0.408248\"\n      ]\n     },\n     \"execution_count\": 58,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"patsy.dmatrices(\\\"y ~ - 1 + C(a, Poly)\\\", data=data, return_type=\\\"dataframe\\\")[1]\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Linear regression\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 59,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"np.random.seed(123456789)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 60,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"N = 100\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 61,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x1 = np.random.randn(N)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 62,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x2 = np.random.randn(N)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 63,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data = pd.DataFrame({\\\"x1\\\": x1, \\\"x2\\\": x2})\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 64,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def y_true(x1, x2):\\n\",\n    \"    return 1  + 2 * x1 + 3 * x2 + 4 * x1 * x2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 65,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data[\\\"y_true\\\"] = y_true(x1, x2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 66,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"e = np.random.randn(N)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 67,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data[\\\"y\\\"] = data[\\\"y_true\\\"] + e\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 68,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>x1</th>\\n\",\n       \"      <th>x2</th>\\n\",\n       \"      <th>y_true</th>\\n\",\n       \"      <th>y</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>2.212902</td>\\n\",\n       \"      <td>-0.474588</td>\\n\",\n       \"      <td>-0.198823</td>\\n\",\n       \"      <td>-1.452775</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2.128398</td>\\n\",\n       \"      <td>-1.524772</td>\\n\",\n       \"      <td>-12.298805</td>\\n\",\n       \"      <td>-12.560965</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>1.841711</td>\\n\",\n       \"      <td>-1.939271</td>\\n\",\n       \"      <td>-15.420705</td>\\n\",\n       \"      <td>-14.715090</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>0.082382</td>\\n\",\n       \"      <td>0.345148</td>\\n\",\n       \"      <td>2.313945</td>\\n\",\n       \"      <td>1.190283</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>0.858964</td>\\n\",\n       \"      <td>-0.621523</td>\\n\",\n       \"      <td>-1.282107</td>\\n\",\n       \"      <td>0.307772</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"         x1        x2     y_true          y\\n\",\n       \"0  2.212902 -0.474588  -0.198823  -1.452775\\n\",\n       \"1  2.128398 -1.524772 -12.298805 -12.560965\\n\",\n       \"2  1.841711 -1.939271 -15.420705 -14.715090\\n\",\n       \"3  0.082382  0.345148   2.313945   1.190283\\n\",\n       \"4  0.858964 -0.621523  -1.282107   0.307772\"\n      ]\n     },\n     \"execution_count\": 68,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 69,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 2, figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"axes[0].scatter(data[\\\"x1\\\"], data[\\\"y\\\"])\\n\",\n    \"axes[1].scatter(data[\\\"x2\\\"], data[\\\"y\\\"])\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 70,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(100, 4)\"\n      ]\n     },\n     \"execution_count\": 70,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 71,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"model = smf.ols(\\\"y ~ x1 + x2\\\", data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 72,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"result = model.fit()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 73,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"                            OLS Regression Results                            \\n\",\n      \"==============================================================================\\n\",\n      \"Dep. Variable:                      y   R-squared:                       0.380\\n\",\n      \"Model:                            OLS   Adj. R-squared:                  0.367\\n\",\n      \"Method:                 Least Squares   F-statistic:                     29.76\\n\",\n      \"Date:                Sun, 03 Nov 2024   Prob (F-statistic):           8.36e-11\\n\",\n      \"Time:                        09:18:04   Log-Likelihood:                -271.52\\n\",\n      \"No. Observations:                 100   AIC:                             549.0\\n\",\n      \"Df Residuals:                      97   BIC:                             556.9\\n\",\n      \"Df Model:                           2                                         \\n\",\n      \"Covariance Type:            nonrobust                                         \\n\",\n      \"==============================================================================\\n\",\n      \"                 coef    std err          t      P>|t|      [0.025      0.975]\\n\",\n      \"------------------------------------------------------------------------------\\n\",\n      \"Intercept      0.9868      0.382      2.581      0.011       0.228       1.746\\n\",\n      \"x1             1.0810      0.391      2.766      0.007       0.305       1.857\\n\",\n      \"x2             3.0793      0.432      7.134      0.000       2.223       3.936\\n\",\n      \"==============================================================================\\n\",\n      \"Omnibus:                       19.951   Durbin-Watson:                   1.682\\n\",\n      \"Prob(Omnibus):                  0.000   Jarque-Bera (JB):               49.964\\n\",\n      \"Skew:                          -0.660   Prob(JB):                     1.41e-11\\n\",\n      \"Kurtosis:                       6.201   Cond. No.                         1.32\\n\",\n      \"==============================================================================\\n\",\n      \"\\n\",\n      \"Notes:\\n\",\n      \"[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"print(result.summary())\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 74,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.3802538325513255\"\n      ]\n     },\n     \"execution_count\": 74,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"result.rsquared\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 75,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0    -3.370455\\n\",\n       \"1   -11.153477\\n\",\n       \"2   -11.721319\\n\",\n       \"3    -0.948410\\n\",\n       \"4     0.306215\\n\",\n       \"dtype: float64\"\n      ]\n     },\n     \"execution_count\": 75,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"result.resid.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 76,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"z, p = stats.normaltest(result.resid.values)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 77,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"4.6524990253009316e-05\"\n      ]\n     },\n     \"execution_count\": 77,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"p\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 78,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Intercept    0.986826\\n\",\n       \"x1           1.081044\\n\",\n       \"x2           3.079284\\n\",\n       \"dtype: float64\"\n      ]\n     },\n     \"execution_count\": 78,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"result.params\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 79,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 4))\\n\",\n    \"smg.qqplot(result.resid, ax=ax)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch14-qqplot-model-1.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 80,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"model = smf.ols(\\\"y ~ x1 + x2 + x1*x2\\\", data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 81,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"result = model.fit()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 82,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"                            OLS Regression Results                            \\n\",\n      \"==============================================================================\\n\",\n      \"Dep. Variable:                      y   R-squared:                       0.955\\n\",\n      \"Model:                            OLS   Adj. R-squared:                  0.954\\n\",\n      \"Method:                 Least Squares   F-statistic:                     684.5\\n\",\n      \"Date:                Sun, 03 Nov 2024   Prob (F-statistic):           1.21e-64\\n\",\n      \"Time:                        09:18:06   Log-Likelihood:                -140.01\\n\",\n      \"No. Observations:                 100   AIC:                             288.0\\n\",\n      \"Df Residuals:                      96   BIC:                             298.4\\n\",\n      \"Df Model:                           3                                         \\n\",\n      \"Covariance Type:            nonrobust                                         \\n\",\n      \"==============================================================================\\n\",\n      \"                 coef    std err          t      P>|t|      [0.025      0.975]\\n\",\n      \"------------------------------------------------------------------------------\\n\",\n      \"Intercept      0.8706      0.103      8.433      0.000       0.666       1.076\\n\",\n      \"x1             1.9693      0.108     18.160      0.000       1.754       2.185\\n\",\n      \"x2             2.9670      0.117     25.466      0.000       2.736       3.198\\n\",\n      \"x1:x2          3.9440      0.112     35.159      0.000       3.721       4.167\\n\",\n      \"==============================================================================\\n\",\n      \"Omnibus:                        2.950   Durbin-Watson:                   2.072\\n\",\n      \"Prob(Omnibus):                  0.229   Jarque-Bera (JB):                2.734\\n\",\n      \"Skew:                           0.327   Prob(JB):                        0.255\\n\",\n      \"Kurtosis:                       2.521   Cond. No.                         1.38\\n\",\n      \"==============================================================================\\n\",\n      \"\\n\",\n      \"Notes:\\n\",\n      \"[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"print(result.summary())\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 83,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Intercept    0.870620\\n\",\n       \"x1           1.969345\\n\",\n       \"x2           2.967004\\n\",\n       \"x1:x2        3.943993\\n\",\n       \"dtype: float64\"\n      ]\n     },\n     \"execution_count\": 83,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"result.params\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 84,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.9553393745884368\"\n      ]\n     },\n     \"execution_count\": 84,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"result.rsquared\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 85,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"z, p = stats.normaltest(result.resid.values)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 86,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.22874710482505045\"\n      ]\n     },\n     \"execution_count\": 86,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"p\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 87,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 4))\\n\",\n    \"smg.qqplot(result.resid, ax=ax)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch14-qqplot-model-2.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 88,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.linspace(-1, 1, 50)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 89,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"X1, X2 = np.meshgrid(x, x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 90,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"new_data = pd.DataFrame({\\\"x1\\\": X1.ravel(), \\\"x2\\\": X2.ravel()})\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 91,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y_pred = result.predict(new_data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 92,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(2500,)\"\n      ]\n     },\n     \"execution_count\": 92,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"y_pred.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 93,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y_pred = y_pred.values.reshape(50, 50)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 94,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x500 with 4 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 2, figsize=(12, 5), sharey=True)\\n\",\n    \"\\n\",\n    \"def plot_y_contour(ax, Y, title):\\n\",\n    \"    c = ax.contourf(X1, X2, Y, 15, cmap=plt.cm.RdBu)\\n\",\n    \"    ax.set_xlabel(r\\\"$x_1$\\\", fontsize=20)\\n\",\n    \"    ax.set_ylabel(r\\\"$x_2$\\\", fontsize=20)\\n\",\n    \"    ax.set_title(title)\\n\",\n    \"    cb = fig.colorbar(c, ax=ax)\\n\",\n    \"    cb.set_label(r\\\"$y$\\\", fontsize=20)\\n\",\n    \"\\n\",\n    \"plot_y_contour(axes[0], y_true(X1, X2), \\\"true relation\\\")\\n\",\n    \"plot_y_contour(axes[1], y_pred, \\\"fitted model\\\")\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch14-comparison-model-true.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Datasets from R\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 95,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"dataset = sm.datasets.get_rdataset(\\\"Icecream\\\", \\\"Ecdat\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 96,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'Ice Cream Consumption'\"\n      ]\n     },\n     \"execution_count\": 96,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"dataset.title\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 97,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \".. container::\\n\",\n      \"\\n\",\n      \"   .. container::\\n\",\n      \"\\n\",\n      \"      ======== ===============\\n\",\n      \"      Icecream R Documentation\\n\",\n      \"      ======== ===============\\n\",\n      \"\\n\",\n      \"      .. rubric:: Ice Cream Consumption\\n\",\n      \"         :name: ice-cream-consumption\\n\",\n      \"\\n\",\n      \"      .. rubric:: Description\\n\",\n      \"         :name: description\\n\",\n      \"\\n\",\n      \"      four–weekly observations from 1951–03–18 to 1953–07–11\\n\",\n      \"\\n\",\n      \"      *number of observations* : 30\\n\",\n      \"\\n\",\n      \"      *observation* : country\\n\",\n      \"\\n\",\n      \"      *country* : United States\\n\",\n      \"\\n\",\n      \"      .. rubric:: Usage\\n\",\n      \"         :name: usage\\n\",\n      \"\\n\",\n      \"      .. code:: R\\n\",\n      \"\\n\",\n      \"         data(Icecream)\\n\",\n      \"\\n\",\n      \"      .. rubric:: Format\\n\",\n      \"         :name: format\\n\",\n      \"\\n\",\n      \"      A time series containing :\\n\",\n      \"\\n\",\n      \"      cons\\n\",\n      \"         consumption of ice cream per head (in pints);\\n\",\n      \"\\n\",\n      \"      income\\n\",\n      \"         average family income per week (in US Dollars);\\n\",\n      \"\\n\",\n      \"      price\\n\",\n      \"         price of ice cream (per pint);\\n\",\n      \"\\n\",\n      \"      temp\\n\",\n      \"         average temperature (in Fahrenheit);\\n\",\n      \"\\n\",\n      \"      .. rubric:: Source\\n\",\n      \"         :name: source\\n\",\n      \"\\n\",\n      \"      Hildreth, C. and J. Lu (1960) *Demand relations with\\n\",\n      \"      autocorrelated disturbances*, Technical Bulletin No 2765, Michigan\\n\",\n      \"      State University.\\n\",\n      \"\\n\",\n      \"      .. rubric:: References\\n\",\n      \"         :name: references\\n\",\n      \"\\n\",\n      \"      Verbeek, Marno (2004) *A Guide to Modern Econometrics*, John Wiley\\n\",\n      \"      and Sons, chapter 4.\\n\",\n      \"\\n\",\n      \"      .. rubric:: See Also\\n\",\n      \"         :name: see-also\\n\",\n      \"\\n\",\n      \"      ``Index.Source``, ``Index.Economics``, ``Index.Econometrics``,\\n\",\n      \"      ``Index.Observations``,\\n\",\n      \"\\n\",\n      \"      ``Index.Time.Series``\\n\",\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"print(dataset.__doc__)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 98,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"<class 'pandas.core.frame.DataFrame'>\\n\",\n      \"RangeIndex: 30 entries, 0 to 29\\n\",\n      \"Data columns (total 4 columns):\\n\",\n      \" #   Column  Non-Null Count  Dtype  \\n\",\n      \"---  ------  --------------  -----  \\n\",\n      \" 0   cons    30 non-null     float64\\n\",\n      \" 1   income  30 non-null     int64  \\n\",\n      \" 2   price   30 non-null     float64\\n\",\n      \" 3   temp    30 non-null     int64  \\n\",\n      \"dtypes: float64(2), int64(2)\\n\",\n      \"memory usage: 1.1 KB\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"dataset.data.info()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 99,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"model = smf.ols(\\\"cons ~ -1 + price + temp\\\", data=dataset.data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 100,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"result = model.fit()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 101,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"                                 OLS Regression Results                                \\n\",\n      \"=======================================================================================\\n\",\n      \"Dep. Variable:                   cons   R-squared (uncentered):                   0.986\\n\",\n      \"Model:                            OLS   Adj. R-squared (uncentered):              0.985\\n\",\n      \"Method:                 Least Squares   F-statistic:                              1001.\\n\",\n      \"Date:                Sun, 03 Nov 2024   Prob (F-statistic):                    9.03e-27\\n\",\n      \"Time:                        09:18:14   Log-Likelihood:                          51.903\\n\",\n      \"No. Observations:                  30   AIC:                                     -99.81\\n\",\n      \"Df Residuals:                      28   BIC:                                     -97.00\\n\",\n      \"Df Model:                           2                                                  \\n\",\n      \"Covariance Type:            nonrobust                                                  \\n\",\n      \"==============================================================================\\n\",\n      \"                 coef    std err          t      P>|t|      [0.025      0.975]\\n\",\n      \"------------------------------------------------------------------------------\\n\",\n      \"price          0.7254      0.093      7.805      0.000       0.535       0.916\\n\",\n      \"temp           0.0032      0.000      6.549      0.000       0.002       0.004\\n\",\n      \"==============================================================================\\n\",\n      \"Omnibus:                        5.350   Durbin-Watson:                   0.637\\n\",\n      \"Prob(Omnibus):                  0.069   Jarque-Bera (JB):                3.675\\n\",\n      \"Skew:                           0.776   Prob(JB):                        0.159\\n\",\n      \"Kurtosis:                       3.729   Cond. No.                         593.\\n\",\n      \"==============================================================================\\n\",\n      \"\\n\",\n      \"Notes:\\n\",\n      \"[1] R² is computed without centering (uncentered) since the model does not contain a constant.\\n\",\n      \"[2] Standard Errors assume that the covariance matrix of the errors is correctly specified.\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"print(result.summary())\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 102,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAABJ8AAAF/CAYAAADn8WhUAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAACjR0lEQVR4nOzdeXwTZf4H8E+a3vQ+sJQC1SIthYLlKncBRVYQKCiigKAguKjgIhZEUX+6KB6wrIoccgkoUhABFXA5XK5Fud2C3MXSll7Qk9I7md8f3URC23SaZjIzzef9evEKnUxmnnky88z3+c7kGY0gCAKIiIiIiIiIiIgk4CB3AYiIiIiIiIiIqPFi8omIiIiIiIiIiCTD5BMREREREREREUmGySciIiIiIiIiIpIMk09ERERERERERCQZJp+IiIiIiIiIiEgyTD4REREREREREZFkmHwiIiIiIiIiIiLJMPlEZAcEQRA1jYiIiMjeMW4isbhfEInH5BORSrz22msIDw+v9d/27dsBAE8//TSefvpp4+c2b96MDz/80Ph3YWEhZs+ejRMnTlilXOHh4fjss8+ssixzBgwYgNdee03y9ZBlbLUfEBERicG4iXGT1Pbt24fZs2fLXQwi1XCUuwBEJF5gYCAWL15c43stW7YEALz99tsm05cuXYpu3boZ/z5//jy2bduGkSNHSldQsjsJCQkICgqSuxhERERGjJtISl9++aXcRSBSFSafiFTE2dkZDzzwgNl5WrdubZvCEN2hrv2SiIjI1hg3EREpB392R9TI3Hn7+IABA3D9+nVs3boV4eHh+O677zB+/HgAwPjx401uM9+7dy9GjhyJqKgo9OrVC/PmzUNxcbHJso8dO4bRo0ejY8eOGDRoEI4cOWK2LKdOnUJ4eDj27t1rMj0pKQnh4eHYtWsXACAtLQ2zZs1C79690a5dO/To0QOzZs1CXl5ejctNS0szbs+dXnvtNQwYMMBkWl3bVVZWhnfeeQd9+/ZF+/bt8Ze//AWrV6+udZt++OEHhIeH48KFCybTDxw4gPDwcCQmJgIA8vPz8dZbb6Fnz56IiorCE088gV9++cXkM+Hh4Vi8eDEee+wxdO7cGUuWLIFer8cnn3yCAQMGoH379hgwYAD+8Y9/oKKiol7bnpqaiqlTpyImJgYdO3bE6NGjceDAgVq3C6jaXxYtWoT58+ejW7du6NatG+Lj402+h9deew0TJkzA22+/jS5dumDEiBGorKys9jOCnJwcvP766+jZsyeio6MxduxYnDx50vi+Xq/HF198gYEDB6J9+/YYNGgQ1q9fb7Z8RERE1sa4iXETUP+46emnn8axY8dw7NgxhIeH4+jRo/Xajm+++QavvfYaOnfujG7dumHevHkoLS3Fhx9+iO7duyMmJgZvvPEGysrKTD731VdfYfbs2YiOjkbPnj2NnyNSA975RKQylZWV1aZptVpoNJpq0xcvXowpU6YgMjISL7zwAsLCwlBSUoJ3330Xb731FmJiYgBUBQavvvoqhg4dir/97W+4fv06Fi1ahCtXrmDNmjXQaDT4/fffMXHiRMTExOCTTz5Beno6XnnlFbNl7dSpE1q1aoWdO3fioYceMk7/4Ycf4OnpiQEDBqCkpATjx4+Hr68v3n77bXh6euLkyZP4/PPP4eLigr///e8W15WY7Xrvvfdw+PBhzJ49GwEBATh48CA+/PBD+Pj41HiL/cCBA9GkSRPs2LEDERERxuk//vgj7r33XnTo0AFlZWWYMGECbt68iRkzZqBp06bYsmULnnvuOaxcuRI9evQwfm7p0qV4+eWXER4ejqCgIKxYsQJff/01Zs+ejRYtWuC///0vFi1aBCcnJ0ybNk3Uduv1ejz//PMIDAzERx99BEdHR6xbtw4vvPACdu7ciVatWtX62Q0bNqBVq1Z4//33kZubi4ULF+Lq1avYvHkzHByqrlecOHECGo0Gn332GW7fvg1HR9NTSXFxMZ588klUVFRg5syZCAoKwtq1a/Hcc8/h22+/RVhYGP7v//4P3333HZ5//nlER0fj+PHjeP/991FYWIgXX3xR1HYSERHVhXGTeIybxMdNb7/9NuLj443/b926db22Y8GCBRgyZAgWL16Mn3/+GevWrcPhw4cRERGBjz/+GCdOnMCyZctw77334rnnnjN+7pNPPkHHjh3xz3/+E0lJSfjnP/+JrKwsjrtJqsDkE5GKXL9+He3atas2/eWXX8YLL7xQbXpkZCScnZ3h5+dnvO3ccHt569at0bp1awiCgAULFqBPnz5YsGCB8bOhoaF45plncODAAfTr1w/Lly+Hn58fli5dCmdnZwCAj48PZsyYYbbMw4YNw6pVq1BSUgI3NzcAwI4dO/CXv/wFLi4uOH/+PIKCgvDBBx8Yx1/o3r07zpw5g2PHjtW/kv5H7HYdO3YMPXv2xJAhQwAAMTExcHd3h6+vb43LdXV1xaBBg7Bz507MnDkTAFBaWop9+/Zh8uTJAIDt27fjwoUL2LRpEzp27AgA6Nu3L55++mksWLAAW7ZsMS6vQ4cOmDJlivHvjz76CO3atcNjjz0GAOjWrRvc3Nzg4eEhettzcnKQlJSEv/71r4iNjTWuZ/HixSZX0Gqi0WiwZs0aeHp6AgD8/Pzw4osv4uDBg+jXrx+AqkD+nXfeqTWJtXXrVqSmpmLbtm3GQLNLly6Ii4vD8ePH4eDggE2bNuGVV14xbnvv3r2h0WiwfPlyjBkzptb6JyIiEotxk3iMm+oXN7Vu3dq4DsO+smnTJtHbERYWhnfffRcA0LVrV3z77beoqKjAggUL4OjoiD59+uDnn3/GqVOnTNbr5+eHZcuWwdHREbGxsXBwcMD8+fNx+fJl3H///aK3mUgO/NkdkYoEBgbi22+/rfbv8ccft3iZV69eRWZmJgYMGIDKykrjv65du8LDwwP/+c9/AAAnT55Enz59jAEUADz88MPQarVmlz98+HAUFxfj3//+NwAgMTERKSkpGD58OACgbdu22LBhA0JCQpCamopDhw5h9erVuHr1qvGWaSm3KyYmBps3b8bkyZOxYcMGXL9+HS+++CL69+9f67KHDRuGtLQ0/Pe//wUA/PzzzyguLsbQoUMBAL/88gsCAwPRrl0743p1Oh369++Ps2fPoqCgwLisNm3amCw7JiYGR44cwZgxY7BmzRokJSVh3LhxiIuLE73tAQEBaN26Nd5880289tpr2LlzJwRBwJw5c6qt7279+/c3Jp6Aqp8gODk5mTzlx9XV1Rjw1uTEiRMICQkxucLp4uKCXbt24cknn8Svv/4KQRCqfTcDBgxAWVmZyc/ziIiILMW4yfrbxbipdvXZjujoaOP/HR0d4evri/bt25vcTe7j44Nbt26ZrGPIkCEm8wwaNAgArPY0RiIp8c4nIhVxdnZGVFSUVZeZn58PAHjnnXfwzjvvVHs/OzsbAFBQUAA/Pz+T9wwnS3NatGiBTp06YceOHRg8eDB++OEHNG/eHF26dDHOs2bNGixfvhx5eXkICAhAu3bt4ObmVu2EK8V2vfHGGwgKCsL3339vnC86OhpvvfUWIiMja1x29+7d0axZM+zYsQMdO3bEjz/+iC5duiAkJMS47hs3btR4tRUAbty4AW9vbwBVAc+dnnvuOTRp0gRbtmzBhx9+iA8++ABt2rTB66+/bnK7tjkajQarV6/G0qVLsWfPHmzduhVOTk546KGH8H//93/w8fGp9bNNmzY1+dvBwQE+Pj4oLCw0TvP396/x5woG+fn58Pf3N/s+AONV07tlZWXV+lkiIiKxGDdZf7sYN9WuPttR051ZhjvdzLk7TjPEW3fGaURKxeQTkZ3z8vICAMyaNcvk0cIGhpOkj48Pbt68afKeIAgmV3FqM3z4cLz33nu4desWdu3ahccee8yYvPjhhx/wwQcfYObMmXj88ceNgdrLL7+MM2fO1Lg8w2d1Op3J9DsHxBS7Xc7Ozpg6dSqmTp2K9PR0/Pvf/8aSJUswc+ZM48CeNa1/6NCh2L59u/EnaXc+qtnT0xOhoaEmt63fyRBs1cTBwQFjx47F2LFjkZOTgwMHDmDZsmWYNm0ajhw5ImrbAeCee+7B//3f/+Htt9/GhQsX8NNPP2HFihXw9vauMag0MASfBjqdDnl5edUCaHM8PT2RlpZWbfrp06fh4eFh/G7Wrl2LJk2aVJsvODhY9LqIiIhsiXET46baNGQ7xLo7TjPsY/WJ04jkwp/dETVyhkGiDe6+3fu+++6Dv78/0tLSEBUVZfwXFBSEhQsX4ty5cwCAHj164ODBgygpKTF+9tChQ6Ju8X7kkUcAVA2SeOPGDQwbNsz43smTJ+Hp6YkpU6YYT5y3b9/GyZMnodfra1ye4WpRZmamcVpFRYXxiSlit6u0tBSDBg0yPqUlODgYY8eOxZAhQ0yWXZPhw4cbB3jUaDT4y1/+YnyvW7duyMjIgL+/v8m6f/nlF6xcudLsLfdPPvkk5s2bB6DqatbIkSMxduxY3Lp1C0VFRaK2/fTp0+jZsycSExOh0WjQtm1bzJgxA23atKlzuw4dOoTy8nLj3/v27UNlZaXoq4dA1fhOqampuHjxonFaeXk5pk2bhk2bNqFr164AgLy8PJP6yc/Pxz//+c9qgRUREZGtMG5i3CQ2brp7X2nIdoj1888/m/z9r3/9CxqNBt27d2/wsomkxjufiBo5Ly8vnDt3DseOHUOHDh2M4/ns378f3t7eiIiIwIwZM/DWW29Bq9Wif//+KCwsxJIlS5CVlWW8dfjFF1/E3r17MWnSJDz33HPIy8szPk2kLt7e3ujfvz82bNiAqKgohIWFGd/r0KEDvvnmG3zwwQfo378/srOzsWrVKty8edN4la2m5UVHR+Orr75Cq1at4Ovri/Xr16O0tBTu7u4AqoLFurbL1dUV7dq1w+LFi+Hk5ITw8HD88ccf2Lp1q/E39LVp3bo12rVrhw0bNmDgwIEm4ySNHDkSX331FZ599ln89a9/RbNmzXDkyBGsWLEC48aNM1tnXbt2xerVqxEQEIDo6GhkZWVhzZo16NatmzHIrGvbIyMj4erqilmzZmHatGkICAjAkSNHcP78eeMjo2uTmZmJqVOnYvz48cjIyMA//vEP9O7d2/iEHzFGjhyJ9evXY+rUqXj55Zfh5+eHr7/+GqWlpXj66afRsmVLDBs2DG+++SauX7+O9u3b448//sCiRYsQEhKC0NBQ0esiIiKyJsZNjJvExk1eXl44ffo0fvnlF0RGRjZoO8RKTEzEq6++iuHDh+PixYv49NNP8cQTT6BFixYNXjaR1Jh8ImrkJk6ciPfffx+TJk3CmjVr0KlTJzz66KP4+uuvcejQIfz4448YNWoUmjRpgpUrVyIhIQHu7u7o1KkTFixYYDyZhYaG4quvvsIHH3yAGTNmwN/fH7Nnz8YHH3wgqhzDhg3Dv/71L5OrdwAwYsQIpKWlYcuWLdiwYQPuuecexMbGYsyYMXjzzTdx5coV45Nm7vTBBx/g73//O9588014eHjg8ccfR3R0NDZv3mycR8x2vfvuu/jnP/+J1atX48aNG/D398fjjz+Ol19+uc5tGj58OH7//fdq2+Tu7o6vv/4aCxcuxMcff4xbt26hefPmmDlzJiZOnGh2mS+//DKcnZ2xZcsWfP7558ZHKxueECNm211cXLB69WosXLgQ7733HgoLCxEaGop33323xscg32nIkCHw8vLC3/72N7i7u2PEiBF1Ppnnbh4eHvjqq6/w0Ucf4b333kNlZSU6duyI9evXGwcqnz9/PpYvX46NGzciMzMT/v7+GDx4MP72t79Z5cogERGRJRg3MW4SGzeNHTsWZ8+exeTJkzF//nwMHTrU4u0Qa8KECcjKysJLL70EX19f/PWvf8Xzzz9vlWUTSU0jCIIgdyGIiEh+AwYMQLdu3UQHxkRERERkG+Hh4XjppZcwbdo0uYtCZBGO+URERERERERERJJh8omIiIiIiIiIiCTDn90REREREREREZFkeOcTERERERERERFJhsknIiIiIiIiIiKSjKPcBVCD06dPQxAEODk5yV0UIiIiklBFRQU0Gg2io6PlLopqMW4iIiKyH2JjJ975JIIgCJBqaCxBEFBeXi7Z8tWO9WMe66durCPzWD91Yx2Z19jqR8pzvr1gHVpHYzu21Ib1Lz9+B/Ji/ctPLd+B2PM+73wSwXDlLioqyurLLi4uxvnz59G6dWu4u7tbfflqx/oxj/VTN9aReayfurGOzGts9XPmzBm5i6B6UsZN9qSxHVtqw/qXH78DebH+5aeW70Bs7MQ7n4iIiIiIiIiISDJMPhERERERERERkWSYfCIiIiIiIiIiIskw+URERERERERERJJh8omIiIiIiIiIiCTDp90REREplE6nQ0VFhdzFMKusrMz46uCg7GtaTk5O0Gq1cheD7qCGfVwulhxb3MeJiEipZE8+6fV6LF68GJs3b0ZhYSE6d+6Mt99+G61atapx/q1bt+K1116rNn337t3GzwwYMADXr183eX/o0KFYsGCB9TeAiIjIygRBQGZmJvLz8+UuSp30ej0cHR2Rnp6u+OQTAPj4+CAoKAgajUbuolisMcROatrH5WLpsdUY9nEiImp8ZE8+LVmyBBs3bsT8+fNxzz334OOPP8bkyZPx448/wtnZudr8Fy9eRLdu3fCPf/zDZLqfnx8AoKioCOnp6Vi+fDnatWtnfN/V1VXaDbGATi/g9z9y8XtyMfSuuejU1g1aBwYKRET2ztApb9q0Kdzd3RXdidTpdCgrK4OLi4ui77gQBAHFxcXIzs4GADRr1kzmElmuMcROatrH5VLfY6sx7eNERFQ3nV7Auas5yC0shZ+XKyLv81d0PkHW5FN5eTlWr16N+Ph4xMbGAgAWLVqEPn36YM+ePRgyZEi1z1y6dAkREREIDAyscZmXLl2CIAjo1KkTvLy8JC1/QxxJTMcX284gp6AUALDlSC78vX/HlLgo9OwQLHPpiIhILjqdztgp9/f3l7s4ddLpdACqEhVKTj4BgJubGwAgOzsbTZs2VXx5a9IYYie17eNyseTYagz7OBER1e3ufAIA+Hu7KjqfIGvy6cKFC7h9+za6d+9unObl5YXIyEgcP368xgDq4sWLGDRoUK3LvHjxIgIDA60ePBmuJlnD0d+z8I+NidWm5xSUYv7a43jlyQ6IaXePVdaldiUlJSavZIr1UzfWkXmsn7rZuo7Kysqg1+vh4uJi7HwqmSAIxlc1lNfFxQV6vR6FhYVwcXGp9r4gCIq+C0ctsZO5uElt+7hcLD226trHSRyeH+XH70BerH/51fYdKC2fIDZ2kjX5lJmZCaD6bcFNmzZFRkZGtflzc3Nx8+ZNHD9+HOvXr0d+fj46duyIV199Fffeey+Aqqt37u7umDZtGk6fPg0/Pz+MHDkS48ePb9BYFBUVFTh//rzFnzfQ6wWs/D7T7Dwrv/8dHsiBg4JvmbO15ORkuYugaKyfurGOzGP91M2WdeTo6Ijy8nJFJ0HuZhgcWenKy8tRWVmJq1ev1jpPTT9dUwq1xE51xU1q3MflUt9jS8w+TuLx/Cg/fgfyYv3L787vQKn5BDGxk6zJJ0MG7+6Curi4oKCgoNr8ly5dAgBotVp8+OGHKC4uxpIlSzBmzBj88MMPCAgIwOXLl3Hr1i0MHjwYL730Ek6cOIEFCxagoKAAL7/8ssVldXJyQuvWrS3+vMHvf+SisPi62XkKi3WAexDa3uvX4PWpXUlJCZKTkxEaGmq8lZz+xPqpG+vIPNZP3WxdR2VlZUhPT4eLi4sixyu8myAIxnFp1JJIcHR0RMuWLWu8K+TKlSsylEg8tcRO5uImte3jcmnIsWVuHydxeH6UH78DebH+5VfTd6DEfILY2EnW5JMh4CgvLzcJPsrKymrcwbt3745jx47B29vbOO3zzz9H//798d1332HKlClYs2YNysrK4OHhAQAIDw/H7du3sXTpUkybNs3iK3gajQbu7u4WffZOxWW5IueDVdbXWLi5ubE+zGD91I11ZB7rp262qiMHBwc4ODhAq9WqYrwWw8+BNBqNKsqr1Wrh4OAANze3GhMfSk+gqSV2Mhc3qW0fl4ulx1Zd+zjVD8+P8uN3IC/Wv/zu/A6UmE8QGzvJ+kxkwy3jhqdyGGRnZyMoKKjGz9wZPAFVFRoSEoKsrCwAVVfaDMGTQZs2bVBcXFzjFUFb8/MSFwSInY+IiKguOr2AM1du4sCpNJy5chM6vSB3kchC9hg7icF9nIiI7IGa8wmyJp8iIiLg4eGBo0ePGqcVFhbi3Llz6NKlS7X5N2zYgJiYGJSW/jmie1FREZKTk9G6dWvo9XoMGDAAS5cuNfncmTNnEBAQAF9fX+k2RqTI+/zh721+RwjwcUPkfXz6CxERNdyRxHRMmrcbry/9DxZ8fRKvL/0PJs3bjSOJ6XIXjSxgj7FTXbiPExGRvVBzPkHW5JOzszPGjRuHBQsWYN++fbhw4QJmzJiBoKAgDBw4EDqdDjdu3DAGTP3794cgCJg1axYuX76MM2fOYNq0afDz88OIESPg4OCAQYMGYeXKldi1axdSUlKQkJCAlStXNmi8J2vSOmgwJS7K7DyTh7eHloONExFRAx1JTMf8tcdNHsML/Pk0FHbO1cceYydzuI8TEZE9UXM+QdbkEwBMnz4djz/+OObOnYunnnoKWq0Wq1atgrOzMzIyMtC7d2/s3LkTQNWt5mvXrsXt27fx1FNP4ZlnnoGnpyfWrVtn/E37zJkz8dxzz2HhwoUYPHgw1qxZgzfeeANPPPGEnJtpomeHYMyZ0LVaxjLAxw1zJnRFzw7BMpWMiIgaC51ewBfbzpidZ8X2s5L/PKm4uBjz5s1D7969ER0djbFjxyIxserxwKdPn8b48ePRuXNnxMTE4PXXXzf5mdeAAQPwxRdfYNq0aYiOjkZMTAzef/99VFZWAqgaE+fjjz9GbGws2rdvj7/85S/45ptvJN0eJbDH2Kkm9rKPL1y40O72cSIiqp1a8wmyDjgOVA2KGB8fj/j4+GrvhYSE4OLFiybT2rZti1WrVtW6PEdHR0ydOhVTp061elmtqWeHYMS0b4ZT56/j9wt/oF3EvejUtrkiM5RERKQ+567mVLsb5G4380tw7moOoloHSFaOGTNm4MqVK3j//ffRqlUrrFixApMmTcKqVavw9NNP44knnsBbb72FnJwc/P3vf8fEiROxefNm4yDXn332GeLj4zFz5kwcPnwY8+bNQ2RkJOLi4rBhwwb89NNPWLRoEe655x78+9//xv/93//h/vvvr/EnaI2FvcZOd2vs+/jQoUOxefNm/Otf/7K7fZyIiMwz5BPOXc1BbmEp/LxcEXmfv6LzCbInn+yZ1kGDdvf6waE0C23v9VP0jkJEROqSW2i+U17f+Szxxx9/YP/+/Vi5ciX69OkDAHjrrbfQpEkTLF++HOHh4XjrrbcAAK1bt8bChQsxbNgwHDp0CLGxsQCAPn36YPz48QCA0NBQfPvttzh16hTi4uKQkpICd3d3tGjRAoGBgRg3bhzuu+8+3HvvvZJtEylHY9/Hhw4ditTUVLi5uXEfJyKiarQOGkkvrlib7D+7IyIiIutTwtNQDHfgPPDAA8Zpzs7OmDNnDv744w906tTJZP7w8HB4eXmZ3LkTFhZmMo+npycqKioAAGPHjkVRURH69u2LUaNG4Z///Cf8/f3h76+8QTbJ+uxhHx89ejT3cSIiahSYfCIiImqElPA0FEfHqhusNZrqd/YKglDjdL1eDycnJ+Pfzs7ONX4WqLpLZPfu3Vi5ciW6du2Kffv2Yfjw4di6dau1NoEUzB728ZYtW+Knn37iPk5ERKrH5BMREVEjpISnoRju6Dhz5s9BoSsrK9GvXz+kpqbixIkTJvNfuHABRUVF1e4Eqc26deuwe/du9OrVC7NmzcIPP/yAHj16GAfbpsbNHvbxb775Bnv27OE+TkREqsfkExERUSMl99NQ7r33Xjz88MN455138Msvv+CPP/7AW2+9hfLycnz55Ze4cOEC3n33XSQlJeHYsWN49dVXERkZiR49eohafk5ODt59913s27cP169fx8GDB3Hu3DlER0dLul2kHPawj8+bN4/7OBERqR4HHCciImrE5H4ayvz58/HRRx9hxowZKCsrQ8eOHbF69WpERERgxYoV+OSTTxAXFwcPDw889NBDmDlzpslPksx56aWXUFlZib///e+4efMmAgMDMWbMGDz//PMSbxUpSWPex59//nloNBru40REpHpMPhER2bH8/HwcOHAAzZo1g7u7u9zFIYnI+TQUDw8PvPvuu3j33XervderVy/06tWr1s/+/PPP1aatX7/e+H8nJyfEx8cjPj7eOoUl1WqM+7hOp4OTkxNmzpyJWbNmWa/ARERkd/Ly8rB//37069cPvr6+spSBP7sjIrKyvLw8bN26FXl5eXIXpU4FBQU4ePAgCgoK5C4KERERERFJICUlBcuWLUNKSopsZWDyiYjIygoKCrBt2zYmdIiIiIiISHa3bt1CZmYmbt26JVsZmHwiIiIiIiIiIiLJMPlERERERERERESSYfKJiIiIiIiIiIgkw+QTERERERERERFJhsknIiIiIiIiIiKSDJNPREREREREREQkGSafiIiI7EBqwmb8J+5xpCZslrsoRJLgPk5ERKRcTD4REdmxwsJC5OTkoLCwUO6ikIRSEzYjZcNGQBCQsmEjO+fU6HAfJyIiueXl5WHr1q3Iy8uTuyiKxOQTEZEdKyoqQk5ODoqKiuQuCknE2Cm/g60657///jseffRRtG/fHi+//DKefvpp43snT57EiRMnjH9fvnwZ+/fvb9D6PvvsMwwYMKBByyD14T5ORERKUFBQgG3btqGgoEDuoigSk09EVC/M6BOpR02dcgNbdM6XLFkCjUaDH3/8EbNmzcJnn31mfG/MmDFISUkx/v3888/jzJkzkpaHGh/u40REpDb22p9i8klm+fn5OHDgAPLz8+UuCpEozOgTqYO5TrmB1J3zwsJCREZGIjQ0FM2bN4ePj49k6yL7w32ciIjUyJr9KTUlshzlLoC9KygowMGDB/HII48gODhY7uIQkRUUFBQgMzOTCTqSjZhOuYFhvhajR1m1DAMGDMD169cBANu2bUPz5s3RvHlzrF+/HuHh4QCAOXPm4NixYzh27BiuX7+OxYsX49ixY1i/fj1u3bqFjz76CHv27EFFRQXatWuH+Ph4REVFGdeRkJCAlStXIisrC7179+Z51I7Yyz6+ZcsWrFu3DtnZ2dzHiYhklJeXh/3796Nfv37w9fWVuzhGhkRWdHS0ospVE975RERkZbdu3UJmZiZu3bold1HITqV8kyDp/GJ8++23iI6OxiOPPILDhw8jOjra+N7hw4cBAK+//jreeOMNfPvttwgKCsLEiRPx2WefQRAETJ48GcnJyVi+fDk2bdqEBx54AE899RTOnTsHANixYwfeffddPPPMM9i+fTseeOABfP3111bfDlIme9jHd+7ciQ8//BATJkzgPk5EJDP++qPhmHwiIiJqZFo+NVrS+cXw8/ODk5MTXF1dERgYCCcnJ+N7gYGBAABPT094enrCz88PWq0W7u7u8PHxwa+//orTp0/jk08+QceOHREWFoZXXnkFDzzwANatWwcAWLduHQYPHoyxY8fi3nvvxZQpU9C/f3+rbwcpkz3s4+vXr8fDDz+MMWPGcB8nIiLV48/uiIiIGhnDz4vE/Cyp5Zgnrf5zpIb6/fffAQAPPvigyfTy8nKUlZUBAC5duoQhQ4aYvB8dHY0LFy7YppAkK3vZxx9++GGT97mPExGRWjH5RERE1AiJ6ZwrsVMOAHq9Hh4eHvjuu++qvefs7Gz8vyAIJu/deecJNX6NfR/XaDTcx4mIqNGQ/Wd3er0en376Kfr06YOOHTti4sSJuHbtWq3zb926FeHh4dX+3fmZXbt2YfDgwYiKisLQoUNx8OBBW2wKERFRgxUUFKC4uBiVlZUNXlaL0aPQcsyTNb6n1E45ALRp0wZFRUUoLy9Hq1atjP9WrFiBffv2AQDatm2LkydPmnzOXh5jz9jpT415H4+IiMBvv/1m8jl72ceJyD6p6cltVH+yJ5+WLFmCjRs3Yt68eUhISIBGo8HkyZNRXl5e4/wXL15Et27dcPjwYZN/ISEhAIBff/0V8fHxGDNmDLZt24bevXvjxRdfRFJSki03i4iIyCJFRUUoLi6GXq+3yvJq6pwroVPu7u6OpKQkY4DZpEkTJCcn4+bNm+jTpw/atm2Lv/3tb/jll19w7do1fPjhh9iyZQvCwsIAAFOmTMGePXuwcuVKJCcnY/369fjXv/4l5ybZDGMnU411H588eTJ+/vlnrFq1yu72cSKyTxzUu3GTNflUXl6O1atXY9q0aYiNjUVERAQWLVqErKws7Nmzp8bPXLp0CREREQgMDDT5p9VqAQArVqzAwIEDMW7cOISFhWH27Nlo164d1q5da8tNIyIiUgxj51yjUUSnHAAmTpyIr776Cq+//joA4Omnn8b+/fsxceJEaLVarF69Gh06dMCMGTMwbNgwHD16FJ999hl69OgBAOjXrx8WLlyILVu2YOjQodi9ezcmTpwo5ybZBGOnmjXGfTw2Nhbvvfcetm7dalf7OBERNU6yjvl04cIF3L59G927dzdO8/LyQmRkJI4fP15tIFGg6urdoEGDalyeXq/HqVOn8Nprr5lMj4mJqTUgE0sQBBQXFzdoGTUxDCpZVlYmyfLVrqSkxOSVTMlRPyUlJdDpdCgpKVHFPitHHZWVlUEQBFUc14Y7JcrLyxVfVrnYeh8qLS0FUHVO0+l0Vltu8OMjEfz4SACw6nINY9IIglBtuV9++aVxfe+9957Jul944QW88MILxmmPPfYYHnvsMePf3t7emDdvXrX13bmOQYMGVYsJXn75ZbPbp9PpoNfrUVJSUuPdZYIgQKPRmN1mOakldjIXN5WVlRn3bzXs4+ZIuY8LgoBBgwZh2LBhJvtkQ/dxEocxqPz4HciL/QxTYsomtvz1me/O14YsS8r+idjYSdbkU2ZmJgCgWbNmJtObNm2KjIyMavPn5ubi5s2bOH78ONavX4/8/Hx07NgRr776Ku69914UFhaiuLgYQUFBopZXHxUVFTh//nyDllETQ7nS0tJsFiipUXJystxFUDRb1k9GRgaKioqQlJSkuJOCObaso5SUFFRWViIlJQU+Pj42W68lDO1wZmamJG1cY2KrfSg7Oxvu7u4oLy83JqLUwHAxRenKyspQWVmJq1ev1jrPnYOaK41aYqe64iZHR0fV7DNyq289idnHSTzGoPLjdyAv9jOqiCmb2PLXdzvNfQdilyV1/0RM7CRr8smQwbu7oC4uLjX+zvPSpUsAAK1Wiw8//BDFxcVYsmQJxowZgx9++ME4OGtNy2togOPk5ITWrVs3aBk1MdzyHhISgjZt2lh9+WpXUlKC5ORkhIaGws3NTe7iKI4c9ePu7g4PDw+EhYWhVatWNllnQ8hRR4Zksp+fH9q2bWuTdVoqOzsbABAUFKT4ssrF1vuQq6srcnNz4ezsDFdXV8nX11CGq2guLi6KvmPoTo6OjmjZsiVcXFyqvXflyhUZSiSeWmInc3FTWVkZ0tPT4eLioop9XC4NObbM7eMkDmNQ+fE7kJcc9V9ZWYnbt28jMDBQcXGpmD6Q2H6S2PnEfAdil5Wfn288N1i7bsXGTrImnwwBR3l5uUnwUVZWVmPldu/eHceOHYO3t7dx2ueff47+/fvju+++w6hRo4zLu1Nty6sPjUYDd3f3Bi2jJoagwMXFRZLlNxZubm6sHzNsWT9ubm7QarWq+05sWd6KigqUlZWhoqJC8XVk6HA6Ozsrvqxys9U+ZDgfOjg4GC9QKJnhrl2NRqOK8mq1Wjg4OMDNza3GxIfSE2hqiZ3MxU0ODg7G/VsN+4xcLD226trHqX7UFu80RvwO5GXrGDo7O1uRMbSYPpDYflJ9+1PWWKfhQoYUeQexsZOsA44bbhk3XHk3yM7Ornb7t8GdwRNQlekLCQlBVlYWfHx84O7uXq/lEVkLHw1KRERSY+xERET2jv0udZI1+RQREQEPDw8cPXrUOK2wsBDnzp1Dly5dqs2/YcMGxMTEmIyBUVRUhOTkZLRu3RoajQadOnXCsWPHTD539OhRdO7cWboNURkerNLgo0GJyJoMA3mTdam9XhtT7KT270KpWK9E1NiJ6Xexz6s8siafnJ2dMW7cOCxYsAD79u3DhQsXMGPGDAQFBWHgwIHQ6XS4ceOGMWDq378/BEHArFmzcPnyZZw5cwbTpk2Dn58fRowYAQB49tlnsWPHDqxZswZJSUn46KOPcP78eUyYMEHOTVUUJkmIiJRLo9GgsrKST/eRiGEwTicnJ5lLYpnGEDsZ6l5pg8k2Fmrfx4mIrIF9XuWRdcwnAJg+fToqKysxd+5clJaWomvXrli1ahWcnZ2RlpaGBx98EPPnz8fIkSPRrFkzrF27FgsWLMBTTz0FQRDQq1cvrFu3zvib9t69e+P999/HkiVLsGjRIrRu3RrLli1DWFiYzFtKRERUNwcHB/z+++8IDAyEk5MT3N3dFT0OkU6nMw5MreTxewRBQHFxMbKzs+Hj46PostZF7bGTVquFj4+P8ad+St/H5VLfY6sx7eNERNT4yJ580mq1iI+PR3x8fLX3QkJCcPHiRZNpbdu2xapVq8wuMy4uDnFxcdYsJhGpVH5+Pg4cOIBmzZopbuBCotocP34cAwYMqDYOjxLp9XpUVlbC0dERDg6y3lAtio+Pj+rHMmoMsZPhO1DDPi4XS4+txrCPE5F65OXlYf/+/ejXrx98fX3lLg4pmOzJJyIiKRUUFODgwYN45JFHEBwcLHdxiERzd3dHixYtUFFRIXdRzCopKcHVq1fRsmVLxT8K28nJiXeDKIRGo0GzZs3QtGlTxe/jcrHk2OI+TkS2Zvh5W3R0NJNPZBaTT0REVlZcXAy9Xs/xTKjB1PAoer1eD6DqEb58rDvVlxr2cbnw2CIiOfHXA2Rtyr8/nohIZZh8IiIiIiI1M/x6gAN2k7Uw+URERERERERERJJh8omIiIiIiIiIiCTD5BMREREREREREUmGySciIiIiIiIiIpIMk09ERERERERERCQZJp+IiMim8vLysHXrVuTl5cldFCIiIiLZMCYie8LkExGRndLpBSRn3kKlrupVpxdsst6CggJs27aNj+4lIiIiu8aYiGxBpxfwR3ohyit0+CO90GYx/90cZVkrERHJ6khiOr7YdgbJFy+hrELA+p2XcChpN6bERaFnh2C5i0dERERERA30Z8x/FsWllVi1/Sz2XdDKEvPzziciIjtzJDEd89ceR05Bqcn0nIJSzF97HEcS02UqGRERERERWYPSYn4mn4iI7IhOL+CLbWfMzrNi+1nZbsclIiIiIqKGUWLMz+QTEZGVFRcXQxAEFBcXy12Uas5dzal29eNuN/NLcO5qjo1KRERERNT4cDBxkpMSY34mn4iIrKy0tNTkVUlyC8WVSex8RERERFQdBxMnOSkx5mfyiYjIjvh5uVp1PiIiIiIiUhYlxvxMPhER2ZHI+/zh723+JBPg44bI+/xtVCIiIiIiIrImJcb8TD4REdkRrYMGU+KizM4zeXh7aB00NioRERERERFZkxJjfiafiIjsTM8OwZgzoWu1qyEBPm6YM6ErenYIlqlkRERERERkDUqL+R1tujYiIlKEnh2CEdO+Gb78pgQfntDg6cFt8MxTA3nHExERERFRI2GI+Td8q8P7px0xaXh7jHlcnpifdz4REdkprYMGoUGecNRWvTLxRERERETUuGgdNLg32AvOTlrcG+wlW8zP5BMREREREREREUmGySciIiIiIiIiIpIMk09ERERERERERCQZJp+IiIiIiIiIiEgysief9Ho9Pv30U/Tp0wcdO3bExIkTce3aNVGf/eGHHxAeHo60tDST6QMGDEB4eLjJv1dffVWK4hMRERHZFGMnIiIiUhtHuQuwZMkSbNy4EfPnz8c999yDjz/+GJMnT8aPP/4IZ2fnWj93/fp1vPPOO9WmFxUVIT09HcuXL0e7du2M011dXSUpPxEREZEtMXYiIiIitZH1zqfy8nKsXr0a06ZNQ2xsLCIiIrBo0SJkZWVhz549tX5Or9cjPj7eJEAyuHTpEgRBQKdOnRAYGGj85+npKeWmkETy8/Nx4MAB5Ofny10UIiIi2TF2IiKqv7y8PGzduhV5eXlyF4XIbsl659OFCxdw+/ZtdO/e3TjNy8sLkZGROH78OIYMGVLj55YtW4aKigq89NJL+PXXX03eu3jxIgIDA+Hl5WXVsgqCgOLiYqsuEwDKysqMr1IsvyYlJSXQ6XQoKSmx2TotlZ2djYMHD2LAgAHw8fGRuzhmyVGvJSUlJq+2Wqda9h9AnmOsoqLC+Kr0OiovLze+sg2qma2PM9aPvARBgEajkbsYtVJL7CRV3GRPGtuxpTasf/lZ8zvIzMzEli1bEBERARcXlwYvTwwx53Mln/PFxtDW3IaysjIIgmCVdVq7bq25zvrMd+drQ5Yltm4tITZ2kjX5lJmZCQBo1qyZyfSmTZsiIyOjxs8kJiZi9erV+Pbbb5GVlVXt/UuXLsHd3R3Tpk3D6dOn4efnh5EjR2L8+PFwcLD8Rq+KigqcP3/e4s/XxrCdaWlp0Ol0Vl9+bessKipCUlKS4hq5u8lRP5aSs16Tk5Ntti417T+A7fchvV7A1ZSqtulqShZ+//0cHByU25E1tMOZmZmStHE1Uds+ZGCr44z1Iz9zP12Tm1piJ6niJnvUmI4tNWL9y88a34Ec51Yx61TyOV9sDG3NbUhJSUFlZSVSUlLM3nggR91ac531LZu5Y0DMsvR6AUd/u4zSsgoc/e0yvLy8rd4/ERM7yZp8MmTw7i6oi4sLCgoKqs1fXFyMV199Fa+++ipCQ0NrDKAuX76MW7duYfDgwXjppZdw4sQJLFiwAAUFBXj55ZctLquTkxNat25t8edro9VqAQAhISFo06aN1ZdfE3d3d3h4eCAsLAytWrWyyTotJUf9WEqOei0pKUFycjJCQ0Ph5uZmk3Wqaf8BbLsPHf09C1/uvIjE5KqGPzG5GIt33sQzg8MR0+4eSddtqezsbABAUFAQ2rZta5N1qm0fsvVxxvqR15UrV+QugllqiZ2kipvsSWM7ttSG9S8/a34HcpxbxaxTyed8sTG0NbchPz8fjo6OaNmypdm4VI66teY6xc4n5hioa1mG/sm1S4UoqxCw+1QhLhZZt38iNnaSNflkGMiyvLzcZFDLsrKyGit33rx5CA0NxZNPPlnrMtesWYOysjJ4eHgAAMLDw3H79m0sXboU06ZNs/gKnkajgbu7u0WfNcdw26eLi4sky6+Jm5sbtFot3NzcbLZOS8lRP5aSs15tuU417T+A7fahI4np+MfGxGrTcwvL8I+NiZgzoSt6dgiWbP2WMnRgnZ2duQ/VwVblZf3ULS8vD/v370e/fv3g6+tr1WUr+Sd3gHpiJ6niJnuktragsVFi/UvZBiqRNb4DOc6tYtap5HO+2Bjamtvg4uICjUZjlXVau26tuc76ls3SddqqfyI2dpJ1wHHDLeOGK+8G2dnZCAoKqjb/li1b8MsvvyA6OhrR0dGYPHkyAODRRx/FW2+9BaDqSpsheDJo06YNiouLa7wiSETUUDq9gC+2nTE7z4rtZ6HTCzYqEVHjVlBQgG3bttnleZ2xExHZcxtIROIosX8i651PERER8PDwwNGjR9GyZUsAQGFhIc6dO4dx48ZVm3/37t0mf//3v/9FfHw8vvjiC4SFhUGv1+Ohhx7CqFGjMHXqVON8Z86cQUBAgF1cGSAi2zt3NQc5BaVm57mZX4JzV3MQ1TrARqUSJ/fQYQi3byP30GHgwQflLg4R1YGxExEREdXl7v5Ju1tJyNKVoN2tJKQEhQOwff9E1uSTs7Mzxo0bhwULFsDPzw/NmzfHxx9/jKCgIAwcOBA6nQ65ubnw9PSEq6trtd8wGgbdDA4Ohr+/PwBg0KBBWLlyJUJDQ9GuXTv88ssvWLlyJd544w2bbx/ZD51ewMVrecgpKMXFa3lo0bIVtAoeZJqsK7fQNPEUUnID2f97NTef3FITNiNn/yEAQM7+Q0hN2IwWo0fJXCoiMoexExER2TP2u8S5s9/RMzcRvoVJ+BlAVGESQnITccSvQ7X5pCZr8gkApk+fjsrKSsydOxelpaXo2rUrVq1aBWdnZ6SlpeHBBx/E/PnzMXLkSFHLmzlzJry8vLBw4UJkZmYiJCQEb7zxBp544gmJt4Ts1ZHEdHyx7QzS01KRej0fC78+iW8OZGNKXJQix/gh6/Pz+nPclZ65iUgtycIpAC1KstDijsb9zvnklpqwGSkbNppMM/zNBBSRsjF2IiIie8R+l3iGfkfP3ET0zf0Nd/4Ar2/ubwCAI34dbNo/kT35pNVqER8fj/j4+GrvhYSE4OLFi7V+NiYmptr7jo6OmDp1qsmt40RSOZKYjvlrj1ebnlNQivlrjyt2kGmyrsj7/OHv7YrwP46hb+5v+PqO9wyN+6X7YhB5n78s5btbTYknAyagiJSPsRMREdkb9rvqJ/I+fzxUfA5d/tcXuVvf3N/g7uqIyPuG2axMsg44TqRmShzEjeShddBgsvd1Y6Lpbn1zf8NzXmmKuCXYXOLJIGXDRqQmbLZRiYiIiIiIasd+V/2lb/4WXdJPmJ2nS/oJpG/+1kYlYvKJqJq8vDxs3boVeXl5ZuerzyDT1LilJmwGft5hfqafd8ie0BGTeDJgAoqIiIgMxMbHRFJgv6t+lBrzM/lEdBexj68VOzib0gaZJutSauNe4/q/SZB0fiIiImqcxMbHRFJgv6t+xPZNLJ3fUkw+EVlI7OBsShpkmqxPTQmdlk+NlnR+IiIiIiJrY7+rcWDyichChkGmzQnwcVPMINMkDTUldFqMHoWWY54UNW/LMU9y0HEiIiIikh37XfUjNt63dH5LMflEZCGtgwZT4qLMzjN5eHtFDDJN0lFbQkdMeZVQTiIiIiIiQB39Lp1ewJmvv0Pu8RM48/V3sg5+rtT+CZNPRA3Qs0Mw5kzoWi0TH+Djxsd92hG1JXRajB4FDBhS85sDhiimnPYqLS0NFy5cQFpamtxFISKyW9euXcOyZctw7do1uYtCRFB2v+tIYjoWv/gByg/uAwCUH9yHxS9+gCOJ6bKVSYn9EyafiBqoZ4dgrJr7MGaO7Yyw5j6YObYzVr4xsNEmnjJ27ELu8ZPI2LFL7qIoirkGXkmJJ6DqBHnwt+s1vnfwt+uynigJyMzMRFZWFjIzM+UuChGR3UpPT8d//vMfpKfznEikFErsdx1JTMeBRavQJf2EyfQu6SdwYNGqGuNqW/WnlNY/YfKJyAq0DhqEt/KFv7crwlv5Ntqf2qUmbEb69z8CEJD+/Y+yPrlNiWpq4JWWeNLpBRxfuhZ9c3+r8f2+ub/h+NK1st4qTERERERUEyX1uyyJq23dn1JS/4TJJ5nd3L0HukuXcXP3HrmLQmRWasLmao/hTNmwkQmou7QYPQquTQMBAK5NAxWVeAKA08vXVbsyc7cu6Sdwevk6G5WIiIiIiEjZarpbqb5xtRT9KTF3UbUYPQr3PNQfgAb3PNRftv6JoyxrJQBVO1/2zn8BALJ3/gupQc0U11ElAmpuKA0M07nvVklN2IzS7BsAgNLsG0hN2KyYuklN2Iyyn74XNW/ZT98j1c9dMWUnIiIiIpJDtbuVAgIAoF5x9dnrV1Fw5myN71van6qpXLUtI7BfLJw3b0Jgv9h6rcOamHySSW1ZT4CdeFIWc4knA+67VZR+XKd8k1Dv+ZVQbiIiIiIiOZiL7+ujtsTT3csUG3srvd9RE/7sTgZ13UXCnzFV0ekFXE4rQGGxDpfTCjgGjQzEJJ4M7H3fVcNx3fKp0ZLOT0RERKQ0Or2Ai9fykFNQiovX8tinINHq0xeyBrF9BjX0O2rC5JONib2LRKk7jK0cSUzHpHm7sXjzWWTklWPx5rOYNG83n8J1l/z8fBw4cAD5+fmSLN+SO2XskVqOazGPXDVQ2kDpRERESpSXl4etW7ciLy9P7qJQDQx9ioVfn0TS9Xws/Pok+xQkiq0TTwZ19afU0u+oCZNPNsS7SMQ5kpiO+WuPI6eg1GR6TkEp5q89zpPFHQoKCnDw4EEUFBRIsnzeKVM3tR3XYhJQTDzJK/foMQiVlcg9ekzuohARUR0KCgqwbds2yWIxshz7FOpzY/8BlOcX4Mb+A7KWw5qJJ++o9vWa31x/Sm39jrsx+WRDvIukbjq9gC+2nTE7z4rtZ3m7rI3wTpm6qfG4Nve92uv3qBSpCZtx8z+/AgBu/udXxQUNREREasA+hfqkJmxG1t5/AxCQtfffssZA1orXW455Eu3nvWO1/pQa+x13YvLJhngXSd3OXc0xuTpRWV6MiuJ8VJYXG6fdzC/Buas5chTPLvFOGfPUelzX9L3a8/eoBFI8fpeIiKRVWFiIzMxMFBYWyl0UusPdfYqasE+hHEqLgeod34950mxcba3+lFr7HQZ82p0NGXYmMbfK2WsnMLfQ9CShryhFRUkB9BWlZucjaZnbd+11XzVQ83HdYvQo+J8/B/xxGf79+iiqbPamroEjAeU+uYSIyJ4x+aRMYvsK7FPIT4kxkKXxfdrNm8DnnyN42KPVymyN/pSa+x0A73yyOd5FYp6fl6tV5yPr4Z0ytVPzce3Xpzc0TZrAr09vuYtit9Q8cCQREZESsU+hDkqOgSyJ75sNeQR+XTuj2ZBHRC+zvn0ENfc7mHySAcdbqV3kff7w9zZ/EgjwcUPkff42KhHdKXjU43Du+yAAwLnvgwge9bjMJVIOHtdkCbUPHElERKRE7FMonxpiICnie2v0p9Ta72DySSa8i6RmWgcNpsRFmZ1n8vD20DpobFQiMjA8qvaza1640iQEn13z4qNq79Ji9KhqT7Twjmpv98c11U7tA0cSEREpEfsUyqeWGMia/XZr9qfUmE9g8klGLUaPQtPBgwAATQcPUvSOYks9OwRjzoSu1a5WBPi4Yc6ErujZIVimkpmXsWMXco+fRMaOXXIXxer4qFpxUhM2o+DMWZNpBWfO8m4VqpXaB44kIiJSKrX2KexFQ2IgW/e7WoweheBhjwLQ1DiekxhS9KesUS5bYvJJZgEPD4S2zf0IeHigzdaphiRJzw7BWDX3YTw9uA1cnDR4enAbrHxjoGJPEqkJm5H+/Y8ABKR//2OjSjbwUbXi1DVYYmPaJ8h6xPxu30DpV7OIiIiUxtCnmDm2M8Ka+2Dm2M6K7lPYE0tjILH9Lmv3eesaz8kcKftTDSmXrTH5ZGfUlCTROmgQGuQJR23Vq1Jvi1Xao0GtjY+qrZuSB0sk5VPzwJFERERKp3XQILyVL/y9XRHeylexfQqqm9h+l9L6vOxPVZE9+aTX6/Hpp5+iT58+6NixIyZOnIhr166J+uwPP/yA8PBwpKWlmUzftWsXBg8ejKioKAwdOhQHDx6Uouiq09iTJHKwh7td+Kha89QwWCIpn1oHjiR5MHYiIiK1q28MfXbu26L6XUrs87I/VUX25NOSJUuwceNGzJs3DwkJCdBoNJg8eTLKy8vNfu769et45513qk3/9ddfER8fjzFjxmDbtm3o3bs3XnzxRSQlJUm1CapgD0kSW7OXu13U/qjam7v3QHfpMm7u3iPJ8tUyWCIpnxoHjiR5MHYiIiKlsPTnbfWNie8eV7Xa8uqRoLI1tfenrEXW5FN5eTlWr16NadOmITY2FhEREVi0aBGysrKwZ0/tHUW9Xo/4+Hi0a9eu2nsrVqzAwIEDMW7cOISFhWH27Nlo164d1q5dK+WmKJq9JElsyZ7udlHzo2pTEzYje+e/AADZO/8lyffAAaPJmlqMHoWAXt0BAAG9ujPxRNUwdiIiIlsQcwG3IT9vkyImFpOgkqNfpub+lDXJmny6cOECbt++je7duxuneXl5ITIyEsePH6/1c8uWLUNFRQWef/55k+l6vR6nTp0yWR4AxMTE4MSJE9YtvErYU5LEluzpbhe1PqrWVrfccsBosja/mG7QODrCL6ab3EUhBWLsREREUhNzAbehsXZ9YmhrkqPPq9b+lLU5yrnyzMxMAECzZs1Mpjdt2hQZGRk1fiYxMRGrV6/Gt99+i6ysLJP3CgsLUVxcjKCgINHLE0sQBBQXFzdoGTUpKyszvkqxfLGJpzvn9x86xOrlsJThJwTl5eWS1E9NSkpKoNPpUFJSUus6mz0+Ehmbt4heZrPHR6py/zF4oLUPXnmyA77ceREZt/6c7u/tggmPhOOB1j42+37EyPxuW63fT8qGjaioqEDQyDirrc9/6BBUVFSY3SeajXoM/kOHKKqeAOUeY0pSUlJi8io1Ob6ThrB1/RjWJdU+JAgCNBrlBn9qiZ2kipvsiRzHFv1JbFtcVlYGQRAkj8XuJMd5VK513vna0GUpsc6UGBPVFEffHT9bK9YWE0N7tItE0e/nRJdfDEv6vA39Pi3pT4k5BsTuQ1K2VWJjJ1mTT4ZKdHZ2Npnu4uKCgoKCavMXFxfj1VdfxauvvorQ0NBqAVRpaWmtyzN00i1VUVGB8+fPN2gZNTEEdmlpadDpdFZfvmO/vqjcL37QUMd+fSXZTksZguzMzEyblSsjIwNFRUVISkqq/cBsGy66bh379UVe23DkqXD/uZOXA/DS4ACc/P02NiU7Y2RPX3RuFwAHh1ycP58r6brro/Lg4Tq/l4zNW3Djxg049u1tvfXeuGH2/Rs3bkiyDzSUYo8xBUpOTrbJetLT0yEIAtLT0xXVHtfFVvUDSL8P3R1HKIlaYiep4iZ7ZMtji/4k9vyYkpKCyspKpKSkwMfHxyZlk+M8Kue52xrHgFLrTGkxkbk42hA/A7BurG2mX+XYry8q+/aGY2BAvfq0dbGkz2uN79PS/pS5Y0DsPiR1WyUmdpI1+eTqWvW7x/LycuP/gaqsnJubW7X5582bh9DQUDz5ZM2357m4uBiXd6fallcfTk5OaN26dYOWUROtVgsACAkJQZs2bay+fLRti8zAQFF36TQb9ZhV7waxhuzsbABAUFAQ2rZta5N1uru7w8PDA2FhYWjVqlXtM4qoW6nrVPL9pwYeHk1weK83YmMizdePDDK/24YMkSemyv0HERgYaJXv5+71Vgh6k1drr8+aFH2MKURJSQmSk5MRGhra4HOJGBcvXoRGo0FwcLDNvpOGsHX9ANLuQ1euXLHq8qxNLbGTVHGTPbHmsZWfn4+DBw+ib9++NkuQqJ3Y82N+fj4cHR3RsmXLRn0elWOd1jwGlFpnSoqJxMTR9UkA1Sf2Par3w38v3oZrwc/GacebdUbH3sMQ0/YeUf0usXdIWdo/s+b3KbY/JeYYELtOKdsqsbGTrMknwy3j2dnZaNmypXF6dnY2IiIiqs2/ZcsWODs7Izo6GgCMd3o8+uijGDZsGN555x24u7sbTxZ3Lu/u28nrS6PRwN3dvUHLqIkh6HNxcZFk+QBw37gxcHJyMvsTPKWORWPIoDo7O0tWP3dzc3ODVquFm5tbnes0V7e2qFNb7D93q0/92FrGt9/Ve/77xo1p0DpTEzZXOxGW6/Qmr8b1bd4CJycnRR1rSj/GlMRW5ZXjO7EGW36fUu5DSv7JHaCe2EmquMkeWWM/z87Oxq5du9C9e3d+LyKJbYtdXFyg0WgafSwm57nbGutUap0pJSaqKZ61BjGx9pHEdPxjYyLQpB1ael0DcBlnvMKQ0qQd9m1MxJwJXdGzQ7Cofldd4x03pH9mze+zvt+7NdYpZVslNnaSNfkUEREBDw8PHD161BhAFRYW4ty5cxg3bly1+Xfv3m3y93//+1/Ex8fjiy++QFhYGDQaDTp16oRjx45h1Kg/d6qjR4+ic+fO0m6MwhkOMrmSJI2Zoe4yV39pnMY6lUfLp0bXa5wzazxlw5LB57lvEJGlGDsREZG1SfVwpLpibZ1ewBfbzhj//t0zDMVaN/zuGQbP/01bsf0sYto3g9ZBU2e/i31eZZP1aXfOzs4YN24cFixYgH379uHChQuYMWMGgoKCMHDgQOh0Oty4ccM4HkGrVq1M/t1zzz0AgODgYPj7Vz2W8Nlnn8WOHTuwZs0aJCUl4aOPPsL58+cxYcIE2bZTKWp6ogAPQutoMXoUgoc9CkCD4GGPNuo6LSgoQGZmZo1ji8hNjifP1TeBJcVjZdUmY8cu5B4/iYwdu+QuCpHqMHYiSxQWFiIzMxOFhYVyF4WI7qCUmEiK+FRMrH3uag5yCkrNznMzvwTnruYY/66r38U+r3LJmnwCgOnTp+Pxxx/H3Llz8dRTT0Gr1WLVqlVwdnZGRkYGevfujZ07d4peXu/evfH+++/jm2++wYgRI/Drr79i2bJlCAsLk3Ar1ENtSZKioiKUl5ejqKhI7qLUqdmQR+DXtTOaDXnEJuvT6QVcTitAYbEOl9MKoNMLNlnvrVu3kJmZiVu3btU9swzEJKCseQJqMXoUdP0Gi5pX12+w4o85qaUmbEb69z8CEJD+/Y82f9QtUWPA2InqS2zyKS8vD1u3bkVeXp6NSqZuOr2AP9ILUV6hwx/phTaLxahxUFJMVN8LuNaKtXMLzSeeapuvrn6Xtfu8Or2Ai9fykFNQiovX8nisW0jWn90BVQMmx8fHIz4+vtp7ISEhuHjxYq2fjYmJqfH9uLg4xMXFWbOYjUqzIY/A79ivNkuSNMTt27dRUVGB27dvy10URTmSmI4vtp1BeloqMvLKsXjzWXz3SwGmxEWhZ4dguYsnO1vfcus7dDh+TExH39zfap3noN8DeHTocKuuV21q+h2+4W97T8oR1QdjJ5JKQUEBtm3bhujoaPj6+spdHEUzxGLJF8+iuLQSq7afxb4LWsZiJIoSYyJz8bPB3XF0Q2NtPy/Xumeqx3x3slaf985+V+r1fCz8+iS+OZDNY90Cst/5RGROcXEx9Hq9Ih49qhRHEtMxf+3xareo5hSUYv7a4ziSmC5TyZTFlrfcRt7nj8SQzjjo90CN7x/0ewBnQrog8j5/q69bLe4Msm6WlyKluBg3y6v24ZQNGxV9B1R+fj4OHDiA/Px8uYtCRDIRc0dQcnIyXn/9das8Ft7aioqKUFZWpoo7ydWAsRg1hLlBseWOiczdAXV3HG2NWDvyPn/4e5tPLAX4uMkWQ/NYty4mn0jRiouLIQgCk0//c/egfDVZsf0sbwX9nxajR6Hp4EEAgKaDB0l6JUkD4Ihfh2oJqIN+D+CIXwfJ1qsGdwdZOWUVyK+sQE5ZhXGa3MGWOQUFBTh48KAixzkjItsw3BFkrh1IS0vDjh07kJaWZsOSiVNUVITS0lImn6yAsRg1RF1PYwPkj4nqk1Rq6M/btA4aTImLMjvP5OHtoXWw/ZNoeaxbH5NPRCpiyaB89i7g4YHQtrkfAQ8PlGwd567m4FZxVSLliF8H3HKsenzpLUd3Y+LpVnG5XX4vYoIsA7mDLSXQ6QWkZRdBEIC07CIGNERECsNYjMTQ6QWc+fo75B4/gTNffwedXlBVTFSfC7gNHfe2Z4dgzJnQtdodUAE+rpgzoatsP23jsW59TD4RqYilg/KRtO6s7565ifCsrLpTz7OyGD1zE2ucz17U99G9Uj3qVw2OJKZj0rzd2LT3EnR6PTbtvYRJ83bzlm4iIgVhLEZ1OZKYjsUvfoDyg/sAAOUH92Hxix+ITjwZyB0T2eIC7p0EwfSCm17mC3A81q3PasmnxMRE7N69m49wJZKQlIPykeUM9d0zN7HaoON9c38zJqDs8Xup76N7pXjUrxpwTAH7xNiJSH0Yi5E5RxLTcWDRKnRJP2EyvUv6CSS7BdVrWfYSExlioNzCMpPpuYVlssZAPNatz6Lk040bNzB+/Hh8/vnnAIB169Zh9OjRmD59Oh5++GFcvnzZqoUk+6TTC8jKK4EgAFl5Jfz5CZQ/KJ+9Cg/1Q68aEk8GfXN/Q6/cRISH+tm2YApQ30f32uNT7zimgH1g7ETUODAWo9ro9AKOL11bazwYWpKJ657ifkJmLzGRkmMgHuvWZ1Hy6aOPPsLVq1fRoUMH6PV6fPHFF+jZsye2bduG1q1bY+HChdYuJ9kZw89Pdh9NBSBg99FU/vwEyh6Uz54lrliPPrUEGgZ9cn9D4or1timQwohJQNlLkFUTjilgHxg7ETUOjMWoNqeXr6t2x9Pdmt9Kh7Z1uNl57CkmUnIMxGPd+ixKPh0+fBizZ89Gnz598Ntvv+HmzZsYP348IiIi8Nxzz+HECfMHHZE5/PmJebUPyucm66B89io1YTPKfvpe1LxlP31vtwNq1+fRvfaGYwrYB8ZORESNV33iQd2Vi/COal/je/YWEyk9BmK/y7osSj4VFxcjKKjqN6sHDhyAs7MzunfvDgBwdnauNlgYkVhKvvVSSXp2CMaquQ/jpVHt0czXGS+Nao+VbwxkAygDDqgtXmrbXjgR3MVk2ongLkht20umEikDxxSwD4ydiBoHxqpUk/rGdwVnzjImgjpiIEO/a+bYzghr7oOZYzuz32Uhi5JPoaGhOHHiBMrLy/HTTz+hW7ducHFxAQB8//33CA0NtWYZyY4o+dZLpdE6aHB/iDe83LW4P8Sbt3zKhANqi2O4o3GveyQuebYEAFzybIm97pF2f0cjxxSwD4ydiBoHxqpUk/rGdwf9HsBe90gc92kLADju09YuYyK1xEBaBw3CW/nC39sV4a182e+ykEXJp+effx6LFy9Gjx49kJqaimeffRYAMGrUKHz//feYNGmSVQtJ9kPpt14S3Y0Datft7qvEl5q0hE7jgEtNWhqn2fNVYo4pYB8YOxE1DoxVqSb1iQdPBHfBEb8OAIBT3hG40iQEp7wjjO/bU0zEGMi+OFryocGDB+Oee+7ByZMn0a1bNzzwwAMAgC5dumD69Ono06ePNctIdkQNt14qya1bt5CTk4Nbt27JXRS7ZkgopWzYCAAoF/Qmr4D9Jp6A+l0ljmodYKNSKYthTIEvtp3BndfKA3zcMHl4e97a3QgwdrKevLw87N+/H/369YOvr69ilkX2gbEq1ebueLAmLn8Zhr1XfMwux95iojtjoFuZf05nDNT4WJR8AoDOnTujc+fOJtNmz57d4AKRfTPcemmuo6qEWy+Vgskn5bgz4Kj839Uqw6s9J54AXiUWq2eHYMS0b4bPlmVg0UkHPPFQG0z760Be7WtEGDtZR0FBAbZt24bo6OgGJ4ysuSyyD4xVyRxzCaiWY57E1ft7AFdO1rkce4uJDDHQhm91eP+0IyYNb48xjzMGamwsTj795z//wb///W+UlJRAr9ebvKfRaPD+++83uHBkfwy3Xs5fe7zWeXjrJSmVMcH0zrvGafaeeAJ4lbg+tA4ahDT1gEYDhDT1YFvXyDB2IlI/xqpUF0Pcl7n6S+M0QzyYf+WmqGXYY0ykddDg3mAvODtpcW+wF4+hRsii5NPKlSuxYMECuLi4wM/PDxqN6Y5x999E9XHnrZd33HnJWy9JFVqMHoUm69YCv+Wiyb2t7D7xBPAqMRHA2ImoMeHPhKguLUaPQtrNm8DnnyN42KPGeJAxEdkzi5JPX3/9NYYOHYr33nsPzs7O1i4TkfHWy7f+/hu+/K8GD8e0wLtv8NZLUgf3Vi2B305XvRKvEhOBsRNRY8OfCVFdmg15BH7HfkWzIY8YpzEmIntm0dPucnJy8PjjjzN4IklpHTRwv54EDQS4X09iI0ykYoarxHc/TjfAxw1zJnTlVWJq9Bg7ETU+/JmQemTs2IXc4yeRsWOX3EVhTER2y6LkU2RkJC5fvmztshCZSE3YjMLTVY9nLzx9BqkJm2UuERE1RM8OwVg192E88VAbaB2qBtRe+cZABllkFxg7ERHJIzVhM9K//xGAgPTvf1REn8IQE80c2xlhzX0wc2xnxkTU6Fn0s7vXX38df/vb3+Du7o6OHTvCzc2t2jzBwTxwyHKpCZurPSXC8DfH0CFSLw6oTfaKsRMpnU4v4OK1POQUlOLitTy0aNmKbTSpnpL7FFoHDcJb+cLf2xXhrXx5vFGjZ1Hy6amnnoJer8frr79e6wCZ58+fb1DByH7VdJIwUMrJgoiIqD4YO5GSHUlMxxfbziA9LRWp1/Ox8OuT+OZANqbERfFODFIt9imIlMWi5NO8efOsXQ4iAOZPEgY8WRAR2bc7x+4IfXGq3MURhbETKdWRxPQaBz/OKSjF/LXHOQaNAqmxDbQ19imIlMei5NOIESOsXQ4iUScJA54siIjsU7WxOwICVHEuYOxESqTTC/hi2xmz86zYfhYx7ZvxJ0EKodY20JbYpyBSJouSTwCQm5uLNWvW4OjRoygsLISvry+6dOmCZ555Bv7+/tYsI9mJlG8S6j0/TxRERPZDyWN3iMHYiZTm3NUc5BSUmp3nZn4Jzl3NQVTrABuVimqj9jbQVtinIFImi552l5mZiREjRuDLL7+Ei4sLIiMj4ejoiDVr1iAuLg5ZWVnWLifZgZZPjZZ0fiIiUq+6xu5QwtOLzGHsREqUW2g+8VTf+Ug6am8DbYl9CiJlsujOp48//hiOjo7YuXMnWrRoYZyempqKiRMnYtGiRfjggw+sVkiyDy1Gj0JWbjHKfvq+znld/jKMVyiIiOxEYxi7g7ETKZGfl6tV5yNpNIY20JYMdSDmp3ctxzzJOiOyEYvufDp8+DCmT59uEjwBQIsWLfDiiy/i4MGDopel1+vx6aefok+fPujYsSMmTpyIa9eu1Tr/2bNnMWHCBERHR6N79+546623UFhYaDLPgAEDEB4ebvLv1Vdfrd9Gkiyinx+PE8FdzM5zIrgLop8fb6MSERGRnOo7dodSr/4zdiIlirzPH/7e5hNLAT5uiLyPPwuVS2NpA22txehRaDnmSbPzMPFEZFsWJZ90Oh18fX1rfM/Pzw9FRUWil7VkyRJs3LgR8+bNQ0JCAjQaDSZPnozy8vJq82ZnZ+PZZ59Fy5YtsXXrVixZsgSnTp3C7NmzjfMUFRUhPT0dy5cvx+HDh43/3n777fpvKNmc1kGDrlMn4KDfAzW+f9DvAXSdOoGDXhIR2QlLxu5QIsZOpERaBw2mxEWZnWfy8PaMu2TUWNpAOZhLQDHxRGR7FiWfwsPDsX379hrf27ZtG9q0aSNqOeXl5Vi9ejWmTZuG2NhYREREYNGiRcjKysKePXuqzX/9+nX06dMHb7/9NkJDQ9GpUyeMGjUKv/zyi3GeS5cuQRAEdOrUCYGBgcZ/np6elmwqyaBnh2DEzphU7Q6oE8FdEDtjkuSP+73z8bVERCSvxjJ2B2MnUqqeHYIxZ0LXandABfi4Yc6ErpLHXWSeUtpAtcbHNSWgmHgikodFYz698MILmDRpEvLz8zF06FAEBATg5s2b+OGHH3DkyBF8+umnopZz4cIF3L59G927dzdO8/LyQmRkJI4fP44hQ4aYzB8dHY3o6Gjj31euXMHWrVvRq1cv47SLFy8iMDAQXl5elmwaKUTPDsGI+fw1zH36EpCeAoc2EXjp89ckv/LGx9cSESlLYxm7g7ETKVnPDsGIad8Mew/9hs+y92Da2M54qM8DvONJAZTQBqo9Pm4xehTSbt4EPv8cwcMeVVXZiRoTi5JPvXr1wkcffYSPPvoI//nPf4zTAwMDMX/+fAwcOFDUcjIzMwEAzZo1M5netGlTZGRkmP3soEGDkJycjObNm2PJkiXG6ZcuXYK7uzumTZuG06dPw8/PDyNHjsT48ePh4GDRjV4AAEEQUFxcbPHna1NWVmZ8lWL5d9PrBSRezsSNvGIkXs5EQEAgHBQcWAR2jgIO7EFg5yiUlZZIuq7M77YhY/MWk2kpGzaioqICQSPj6vx8SUkJdDodSkpKbPJdAjD+xKK8vNxm6ywrK4MgCDbbZxvK1scYAFRWVhpflV5HcuxDcqyzIWy9D6mtfkpKSkxepeA/dAgqKiqqtdF3ajbqMfgPHdLgOhMEARqN9c+L9hY7SRU3AdY934pdlpj5rH1+tOaxJbZdadnUFT4eTmjZ1FXyuEvpxNaZLeIiW7aBd2tofNwQ1jwGfAb0g/cv/4HPgH42O7eKaTfk6D+IJTb+seY2iD2e6lqnFH1ea36f9ZnvzteGLEvKtkps7GRR8gmouo07PDwca9euRUFBAS5cuIBPPvkE+fn5opdhqERnZ2eT6S4uLigoKDD72QULFqC0tBQLFizA+PHjsX37djRp0gSXL1/GrVu3MHjwYLz00ks4ceIEFixYgIKCArz88sv13k6DiooKnD9/3uLP18YQKKalpUGn01l9+Xc6l1qCn07m40ZWJlIzCrF481kkHLyJv3T2QWQLN0nXbanc3FzjqxT1b1B58DAq99c82GvG5i24ceMGHPv2NruMjIwMFBUVISkpyWYnD0MnJDMzU9L6uVNKSgoqKyuRkpICHx8fm6yzIWx5jBkYBvItLCy02fdiKTn2ofT0dAiCgPT0dMXXD2D7fUht9WOQnJws7QrahsOxX98a22rHfn2R1zYceVaqr7vjEmuxp9hJqrgJsO75VuyyxMwn1fnRGseW2HZFjlhGqcSeH20WF9mwDTSwRnxsDdY4BuTYt8WsU8nHnNj4x5rbIPZ4MrdOqfq81vw+61tn5o4BscuSuq0SEztZlHxauXIlFi9ejPHjxyMsLAwAEBwcjJSUFCxcuBBubm4YPbru3xu7ulb9try8vNz4f6AqK+fmZn7HiIqqGhzxs88+Q2xsLPbs2YO4uDisWbMGZWVl8PDwAFA1xsLt27exdOlSTJs2zeIreE5OTmjdurVFnzVHq9UCAEJCQkSP92CJo79nYdOhxGrTC4t12HQoB6882QEx7e6RbP2WOnDgAICqwVjbtm0ryToyv9uGjFpOrAaV+w8iMDDQ7BUed3d3eHh4ICwsDK1atbJyKWuWnZ0NAAgKCpKsfu6Wn58PR0dHtGzZ0mbrbAhbHWMGer0AQVvVnglaV4SHRyj67kI59qGLFy9Co9EgODiY+1AN1FY/JSUlSE5ORmhoaJ3n7gZr2xaZgYHIXP+1cVKzUY9Z9er7lStXrLasO9lb7CRV3ARY93wrdlli5rP2+dGax5bYdkWOWEapxJ4fbRoX2aANNLBWfNwQ1jwG5Ni3xaxTqcecXi/gj8zbKCzWoVTjZTaeteY2iD2ealunlH1ea36fYucTcwyIXZaUbZXY2Mmi5NOmTZswY8YMPPfcc8ZpQUFBeO211+Dn54d169aJCqAMt4xnZ2ejZcuWxunZ2dmIiIioNn9SUhLS0tIQGxtrnNa0aVN4e3sjKysLQFWw4+TkZPK5Nm3aoLi4GAUFBbU+aaYuGo0G7u7uFn3WHBcXF+OrFMsHAJ1ewNpdl8zOs+6ny+jbOVRxv+13dHQ0vkpRP6kJm83ewnynjM1b4OTkVOvvxN3c3KDVauHm5ibZd3k3Q4bZ2dnZZut0cXGBRqORdJ+1JlscYwZHEtPxxbYzOJOUAwA4k5SDl/5xGFPiohQ7YKsc+5Ac62wIW+5DgPrqx8BWbd9948Ygq6DAOHbHfePGWHX5UvzkDrC/2EmquAmw7vlW7LLEzCfV+dEa2ym2XZEjllEqsXVm67hI6jYQsG58bA22PNatScw6lXjMGeLZ9LRUZOSV44vtl/DjyZJa41lrboPY46mmdUrd57Xm91nfOrPGOqVsq8TGThbdBpSVlYV27drV+F5UVBTS0tJELSciIgIeHh44evSocVphYSHOnTuHLl26VJv/0KFDePnll00eR5ySkoK8vDyEhYVBr9djwIABWLp0qcnnzpw5g4CAAIsTT2p37moOcgpKzc5zM78E567m2KhEysHH15K1HElMx/y1x6sdazkFpZi/9jiOJKbLVDJSm+vffgehshLXv/1O7qIoVrMhj8Cva2c0G/KI3EURjbETkbpcX78Bwu3buL5+g9xFqUbqNpDxsf1SczzLPq/yWZR8atGiBY4cOVLje0ePHkVQUJCo5Tg7O2PcuHFYsGAB9u3bhwsXLmDGjBkICgrCwIEDodPpcOPGDZSWVu1Ew4cPh6enJ+Lj43H58mWcOHEC06dPR4cOHdC/f384ODhg0KBBWLlyJXbt2oWUlBQkJCRg5cqVDRrvSe1yC80fhPWdrzFRyuNrSd10egFfbDtjdp4V289CpxdsVCJSq7Nz38btlKokxO2UNJyd+7bMJSJrYexEpB5n576N4uRrAIDi5Gt21xYzPrZPao9n2edVPot+dvfUU0/h/fffR2VlJR566CH4+/sjNzcXe/fuxbp16/Dqq6+KXtb06dNRWVmJuXPnorS0FF27dsWqVavg7OyMtLQ0PPjgg5g/fz5GjhwJX19frFu3Dh988AGeeuopaLVaPPjgg3jttdeMY3LMnDkTXl5eWLhwITIzMxESEoI33ngDTzzxhCWb2ij4ebnWPVM95mtMlPD4WlK/+lxpiWodYKNSkdqcnfs2Cs6cNZlWcOYszs59G+3nvSNTqchaGDsRqQPbYsbH9krt8Sz7vMpnUfJp7NixyMzMxJo1a/Dll18ap2u1WkyYMAHPPPOM6GVptVrEx8cjPj6+2nshISG4ePGiybR7770Xy5cvr3V5jo6OmDp1KqZOnSq6DI1d5H3+8Pd2NduYBPi4IfI+fxuWSjnEnGB5YiVz1HylxdPTE/7+/vD09JS7KHatps6Ogb11ehorxk5Eyse2+E+Mj+2PmuNZgH3eunh5eSEoKAheXl6ylcGi5BNQdZVsypQp+O2335Cfnw8vLy906NCBYwMokNZBgylxUZi/9nit80we3l5xg43bkrkTLE+sVBc1X2lh8kl+5jo7BvbW6WmsGDsRKRfb4uoYH9sXNcezAPu8dVFC8smiMZ8MPD090adPHwwdOhSxsbEMnhSsZ4dgzJnQFf7epo1FgI8b5kzoqtgncdlSi9Gj0HLMkybTeGIlMQxXWgw0Do4mr4B9X2mh2onp7BgYOj2kboydiJSHbXHtGB/bj7vj2ZooPZ5ln7d23t7eiIuLg7e3t2xlaFDyidSlZ4dgrJr7MGaO7Yyw5j6YObYzVr4x0K4Pwru1GD0KwcMeBaBB8LBHFX9izT10GMLt28g9dFjuotg1w5UWAwetk8krYN9XWqh2Yjs7ls5PRER1a0hbfGP/AZTnF+DG/gPWLpZiqC0+JsvcHc/WRA3xLPu8NfP19cWIESNkvejF5JOd0TpoEN7KF/7erghv5av4xkMOanmEd2rCZuTsPwQAyNl/CKkJmyVfp04v4I/0QpRX6PBHeqFin3YhB15pIUt4R7WXdH4iIp1eQFp2EQQBSMsu4rm7Bpa2xakJm5G1998ABGTt/bdNYjG5qCU+poZpLPEs+7zKxOQTkQqlJmyu9vv7lA0bJQ16jiSmY9K83Vi1/SyKSyuxavtZTJq3G0cS0yVbp9oYrrR0b98MANC9fTNeaSGz2s97R3Snxzuqvd2MM0JE1mE4d2/aewk6vR6b9l7iubsGlrTFcsRiRLZgiGdfGtUezXyd8dKo9oxnySqYfCJFu3X2LCAIVa8EoObEk4FUQc+RxHTMX3u82tMjcgpKMX/tccUGsTq9gMtpBSgs1uFyWoFNrvZqHTTGgRj9vFx5pUXlbLEPien0MPFEJB+dXsDFa3nIKSjFxWt5qrlzSK3nbrnUpy2WIxYjsiWtgwb3h3jDy12L+0O8a41n1do+kjyYfCLFSk3YjMLTZwAAhafP8EQO84knA2sHPTq9gC+2nTE7z4rtZxV3sjFc7V28+Swy8sqxeDPv1KL6seU+ZK7Tw8QTkXwM7cDCr08i6Xo+Fn59UhXnErWeu+Umpi2WIxYjUiK1to8kHyafSJF4K3N1YoIdA2vW1bmrOdWumt7tZn4Jzl3Nscr6rIFXe6mh5NiHaur0MPFEJB81n0vUeO5WCnNtsVyxGJHSqLl9JPkw+USKw1uZa5byTYKk89cmt9B88Frf+aTGq7314+3tjb59+8r62FWlkXMfaj/vHTRpGQIAaNIyhIknIpmo/VyitnO30rSf9w7cQ1sBANxDWxnbYrliMSIlUXv7KCVvb2/ExcUxrq4Fk0+kKLyVuXYtnxot6fy1MYxfZK35pMarvfXj4+OD2NhY+Pj4yF0UxZB7H2r++EhoHB3R/PGRkiyfiOomdzvQUGo7dytR86fHQNOkCZo/PcY4Ta5YjEhJ1N4+SsnX1xcjRoyAr6+v3EVRJCafSDF4K7N5LUaPQssxT4qat+WYJ9Fi9CirrDfyPn+Tx606OLnCyc0bDk5/TgvwcUPkff5WWV9D8WovNRT3IWXj4KZkC2pvB+4+d9dESeduEo9tIMlN7e2jEtjrHVJMPpFi8FbmuolJQFkz8QRUPe1iSlyU8W9HZ3c4ufvA0dndOG3y8PaKeaobr/ZSQ8m5D+n0AtKyiyAIQFp2ETsVd+HgpmQraj+X3H3uromSzt1Ko9MLSM68hUpd1auhLZY7VmUbSEqg9vZRCez1Dikmn2TG8Vb+xFuZxTGXgLJ24smgZ4dgzJnQtdpV1AAfN8yZ0BU9OwRbfZ2WUsLVXldXV5NXUhe59iFDp2LT3kvQ6fXYtPcSOxV34OCmZEtKOJc0lJrO3UpiaIvX77yEsgoB63f+2RbLGauyDSSlaAztoyWUereSUstVEyafZMbxVv4k18/K1KimupK6Tnp2CMaquQ9j5tjOCGvug5ljO2PlGwMVF7wq4Wqvi4uLySupixz7EDsV5nFwU7I1JZxLrMFw7n7ioTbQOjjgiYfaKPLcrRR1tcWpbXvJEquyDSQlaSztY30p9W4lpZarJkw+kaLI8bMytWoxehT8+/UBAPj362OTOtE6aBDeyhf+3q4Ib+Wr2JMKr/ZSQ9lyH2Knom4c3JTk0FjOJVoHDUKaekCjAUKaeij23C03sW1x8KjHbR6rsg0kpWks7SPZlqPcBSC6m+FkXdPg40w8mfLr0xuaTQnw69Nb7qIoTs8OwYhp3ww79h3FP5O346VR7THkwRgG3SSarfahuzsVDo4u0Dg4wcHxzzvnDJ2KqNYBVl23WnBwU5KLoR3Ye+g3fJa9B9PGdsZDfR7guaQRqk+CJ8rGsSrbQFIiKdpHT09PBAUFwdPT04olJaXgnU+kSHL8rIwaH62DBveHeMPLXYv7Q7zZWaB6s8U+dHdnwdHJDQ5aJzg6uZmdz55wcFOSk1ru+qWGqW+Cx5axKttAUiprt4/e3t4ICgpSxfhFVH9MPpFitRg9Cl7RVb8n9oqOYuKJiBoldirqZq+DmxKR7VjSFrcYPQr3PNQfgAb3PNRfsliVbSARNQZMPpGiebZvD2g0Va9EpHo6vYC07CIIApCWXWTX4xgZsFNRN3sd3JTUQ6cX8Ed6IcordPgjvZBtmwpZ2hYH9ouFs483AvvFSlY2toFE1Bgw+URERDZheHz1pr2XoNPrsWnvn4+vtmfsVIjDwU1JqQxt26rtZ1FcWolV28+ybVMhpbfFbAOJSO2YfCIisrJb5y+YvFLdj6+2905azw7BGNkvDHf3aRw0wMh+YexU/I/hsfEzx3ZGWHMfzBzbmY+NJ1mppW3LPXoMQmUlco8ek7soiqb0tphtIBGpGZNPRERWlJqwGaXnzwMASs+fR2rCZplLJD+xj6+255+pHElMx3f7k3B3FegF4Lv9SYrpwCoBB38mpVBL25aasBk3//MrAODmf37leckMNbTFbAOpMfP29kZcXBwHHG+kmHwiIrKS1ITNSNmwEc4aR2gAOGsckbJho90H+vV5fLU9UksHlohMqaFtM5yX7sTzUs3YFhPJz9fXFyNGjICvr6/cRSEJMPlEZCX2kqnP2LELucdPImPHLrmLoig1BfgG9h7o1/fx1fZGDR1YIqpO6W0bz0v1w7aYSD3spd/V2DD5RIp26+xZQBCqXhXOHjL1qQmbkf79jwAEpH//IwPX/zEX4BvYc6BvyeOr7YnSO7BEVDMlt22Wnpfs+QIT22Ii9bCHfldjJHvySa/X49NPP0WfPn3QsWNHTJw4EdeuXat1/rNnz2LChAmIjo5G9+7d8dZbb6GwsNBknl27dmHw4MGIiorC0KFDcfDgQak3Q1XUkilOTdiMwtNVtz8Xnj5jtx13peCt+zUTE+Ab2Gt9Wfr4anuh5A4sKRNjJ2VQattm6XnJ3i8wsS0malzU0ue1J7Inn5YsWYKNGzdi3rx5SEhIgEajweTJk1FeXl5t3uzsbDz77LNo2bIltm7diiVLluDUqVOYPXu2cZ5ff/0V8fHxGDNmDLZt24bevXvjxRdfRFJSki03S9HUkClmoqNuOr2A5MxbqNRVvUo5BoGab9339vZG3759JTvxpHyTIOn8jYHSH18tN6V2YEm5GDtZh04v4OK1POQUlOLitbx6n0eV2rZZcl5i3MW2mMhSSk3yqKHPa29kTT6Vl5dj9erVmDZtGmJjYxEREYFFixYhKysLe/bsqTb/9evX0adPH7z99tsIDQ1Fp06dMGrUKPzyyy/GeVasWIGBAwdi3LhxCAsLw+zZs9GuXTusXbvWlptGDaDmRIetHElMx6R5u7F+5yWUVQhYv/MSJs3bLclTWNT+kzIfHx/ExsbCx8dHkuW3fGq0pPM3Fj07BGPOhK7w93ZFj9wz0Ap69Mg9gwAfN8yZ0NWuHxOt1A4sKRNjJ+swnEcXfn0SSdfzsfDrkxadR+9s2/rfPAF3XQn63zwha9tW3/OMd/t2jLvAtpjIUkzykFiOcq78woULuH37Nrp3726c5uXlhcjISBw/fhxDhgwxmT86OhrR0dHGv69cuYKtW7eiV69eAKpuQz916hRee+01k8/FxMTUGJDVhyAIKC4ubtAyalJSUmLyau8yv9uGjM1bzM6TsmEjKioqEDQyTpIylJSUQKfToaSkRJLvvKGO/p6Ff2xMrDY9p6AU89cexytPdkBMu3ussi4x34eB1N+LpaQ+xvyHDkFFRYVJPbk6aqD53+udmo16DP5Dhyhqv7JlG/RAax/MKDmEHeUFAAD/8gKMLz6I+1v3VlSd3C1jxy7oLl1Gxo5daNWqlSTreKC1D155sgO+3HkRtzL/nO7v7YIJj4TjgdY+iq0jOc5jUrbTgiBAo1Fu51ItsZNUcRPQ8O/fkvNo6vbvkXv8BFK3f4+mk58zec/Qtv1SlgsAuKcsF3FWaNssPbYqKirqNX/BGfPjair1/C4FS9risrIyCIKAsrIym7XTcsSqcq3zzteGLkuJdabkfoeLiwv69u0LFxcXxZXNXqglVyA2dpI1+ZSZWdWqN2vWzGR606ZNkZGRYfazgwYNQnJyMpo3b44lS5YAAAoLC1FcXIygoKB6L68uFRUVOH/+fIOWYU5ycrJky1aLyoOHUblf3BgTGZu34MaNG3Ds29vq5cjIyEBRURGSkpIU19Dq9QJWfp9pdp6V3/8OD+TAwQpX5kpFJp4MMjZvQV7b8AavVwqSHmNtw+HYr69x/3XROMJBo4GL5s8m1rFfX+S1DUeehO1IQ9iiDSpf9zX0yabj0hSdO4//zpkL5/FjJV+/JSoPHkbenn0AgLw9+3BGq5Wk3QEALwfgpcEB2OPhhS9PaPBwJy8M7BsAB4dcnD+fK8k6rcmW5zGp22lnZ2erL9Na1BI7SRk3NeT7t+Q8WnnwMLJ/2g0AyN75L5zRCybtgNRtW32Prfqeu8WQMu5Smvq2xSkpKaisrERKSopkd1nfTY5YVc742BrnF6XWmZL7HQAQGxuLvLw85OXlyV0Uu6aGXIGY2EnW5JMhg3d3QV1cXFBQUGD2swsWLEBpaSkWLFiA8ePHY/v27SgtLa11eWVlZQ0qq5OTE1q3bt2gZdSkpKQEycnJCA0NhZubm9WXryan332/XvNX7j+IqOcnW70c7u7u8PDwQFhYmGR3OVjq9z9yUVh83ew8hcU6wD0Ibe/1a/D6Mkc9JvrOJ6Dqzp6gtm0bvF5rstkx1rYtMgMDa6yvZqMeU+wVY1vVz+V581GaXPOAyPrka3Dcsg33z50j2fotkfndNmTclRCv3H8QgYGBkn6fhYUF2OjihJgH7ke7dpGSrcda5DiPSdlOX7lyxarLsza1xE5SxU1Aw77/+p5H62oHpGzbLD226nvuFkuquEupbt68ga+0GkRHtjLbFufn58PR0REtW7ZEWxvFQHLEqnKs05rnF6XWmZL7Heynyk8t34HY2EnW5JOra9WgfuXl5cb/A1W3r9ZVuVFRVb/J/uyzzxAbG4s9e/YgNjbWuLw7iVleXTQaDdzd3Ru0DHPc3NwkXb4aeEe1r/PW77vnl6LO3NzcoNVqFfmdFJeJu/uhuAxWKft948bAyclJ1FNzWo55Ei1Gj2rwOqVii+/TUF/45DPjNKXXi4GU9XN27tso+v2c2XmKfj+Hq+9/iPbz3pGkDPWVmrC51s5bxuYtcHJykux7dXFxgUajgYuLi+LaIHNs2WZK2U4r+Sd3gHpiJynjpoZ8//U5j+b8sMNsO5B74BDKsrPNLscabVt9t9PJycnidZnTcsyTqmqTGsqQkHV2dja73XK02XLEqnLGx9ZYp1LrTMn9DgMll81eKP07EBs7yTrguOGW8ey7TtzZ2dnVbv8GgKSkJBw4cMBkWtOmTeHt7Y2srCz4+PjA3d1d9PJIWQrO/i7p/I2BHI8BbjF6FFqOedLsPGpJsNhCi9GjENCraiyWgF7d7b5ezs59W3RSueDMWZyd+7bEJaqb2gfZp8aNsVPDiD0/Njm6r852oK7Ek4Gt2zYpnqrK8zwRETWUrMmniIgIeHh44OjRo8ZphYWFOHfuHLp06VJt/kOHDuHll19GUVGRcVpKSgry8vIQFhYGjUaDTp064dixYyafO3r0KDp37izdhpBVKOGpYQ197LLU5HoMsLkEFAPS6vxiukHj6Ai/mG5yF0V29bmb0ZL5rU1M4smACSiSA2OnhhFzHn2o+BzKfvrequu1ZdtW76fdRbU3vzye5+2e0uNjIlIHWZNPzs7OGDduHBYsWIB9+/bhwoULmDFjBoKCgjBw4EDodDrcuHHDOB7B8OHD4enpifj4eFy+fBknTpzA9OnT0aFDB/Tv3x8A8Oyzz2LHjh1Ys2YNkpKS8NFHH+H8+fOYMGGCnJtKIoi5w8ZAikDIWo9dlpKcjwGu6fthQEp1qalT46Z1gJNGAzdt9VNQXZ0gqdX3jgEp7jAgMoexU8OIOY92ST9h9fXasm2rbzzVft47vMBEtVJDfKxm3t7eiIuLg7e3t9xFIZKcrMknAJg+fToef/xxzJ07F0899RS0Wi1WrVoFZ2dnZGRkoHfv3ti5cycAwNfXF+vWrYNer8dTTz2FF198EZGRkVi1ahW0Wi0AoHfv3nj//ffxzTffYMSIEfj111+xbNkyhIWFybmZJJJcP/E6kpiO+WuPI6eg1GS64bHLSjrB9uwQjDkTula7chvg44Y5E7qiZ4dgydbdYvQoBA97FIAGwcMeZUBKdWo/751qnS43rSOcHBzgpjUddtA7qr3sYz4p4Q5MorowdmqYus6jYhM3YsnRttU3nuIFJqqJmuJjtfL19cWIESPg6+srd1GIJCfrgOMAoNVqER8fj/j4+GrvhYSE4OLFiybT7r33XixfvtzsMuPi4hAXF2fNYpINGQKdmn76IkUgpNML+GLbGbPzrNh+FjHtm0lyR5ElenYIRkz7ZvjymxJ8eEKDpwe3wTNPDbRJ+ZoNeQR+x35FsyGPSL4uNdLpBaRlF0EQgLTsIuj0gmL2G7m0n/dOnWM/KSHxBJhvf+7GjhnJhbFTwxnOo3sP/YbPsvdg2tjOeKjPA1XtdQfx7YBL06Zmx36Ss22rbzzVYvQopN28CXz+OS8wkSrjYyJSNtnvfCKqiS2vwJ27mlPtis7dbuaX4NzVHKuvuyG0DhqEBnnCUVv1yhO//Ay3pm/aewk6vR6b9l7iren/U/jE80h2q3nw4mS3IBQ+8byNS1Q7DrJPZB+0DhqEt/KFv7crwlv5mpxHxbYD5dPeVHTbltq2F04Em44FdiK4C1Lb9qpx/mZDHoFf1868wESqjY+JSLmYfCLFajF6FLyiq8Zl8IqOkqyjl1to/sRa3/lsKffQYQi3byP30GG5i2L3eGt67QxXTzc2f7haJy3ZLQgbmz+MFdvPKmoAUw6yT2QfMnbsQu7xk8jYsavae3W1A8GjHld022Y4L+11j8Qlz5YAgEueLbHXPdLuz0tUNzXHx0SkTEw+kaJ5tm8PaDRVrxIR+9hlsfPZSmrCZuTsPwQAyNl/iE/dktHdt6a3K82AKwS0K80wTlNacsWW7rx6urH5w8hy8QMAZLn4YWPzhwEo8+opx0AhUiZzCaP6SE3YjPTvfwQgIP37H2s8j5prB5Tctt19XrrUpCV0GgdcatLSOM2ez0tUN7XGx0rCwcSJTDH5RHZPzGOXA3zcEHmfv41KVLeaHgfPx77L584OSM/cRHQuToWTgwM6F6eiZ24iAGUmV2zl7qui/w7ogmKtG/4d0MXsfErQYvQoNB08CADQdPAgJp6IZCYmYSR2OWLPo7U9bEPJbRt/MkUNpcb4WGk4mDiRKSafyO6Jeezy5OHtFTOmUk0BswETUPIwdCx65iaib+5vJu/1zf3NmIBSYnLFFtR+9TTg4YHQtrkfAQ8PlLsoRHbNWhdeLDmP1jQWkpLbNv5kihpKbfExESkfk09EqPuxyz07BMtUMlPmAmYDJqBsz8/LtcbEk4EhAaXU5IrUePWUiBrKWhderHkeVXLbpuTEGKmHWuJjIlIHR7kLQKQUZh+7rABiAmYDw3z8iZBteJ34udbEk0Hf3N/gdeJnoPUTtimUghiuns5fe7zWeXj1lIhqIzZhBJg/71n7PKrkts2QGDP30zsm/UkMpcfHRKQevPOJ6A7mHrsst5RvEiSdnyyTmrAZaSLrOu2bBLu9K41XT4nIEvVNGJlrY6U4jyq1beNPpsialBwfE5F6MPlEpBItnxot6fxkGSYFxevZIRir5j6MScPbw93VEZOGt8fKNwYy8UREtbJmGyvVeVSpbZtSE2NERGSfmHwiUomaHvdcGz4O3naYFKwfrYMG9wZ7wdlJi3uDvXj1lIjMsmYbK+V5VKltmyEx9sRDbaB1cMATD7VRRGKMiIjsD5NPpFg6vYCsvBIIApCVVwKdXpC7SLITEzgz8WRbTAoSEUnH2m0sz6NERETyYPKJFOlIYjomzduN3UdTAQjYfTQVk+btxpHEdLmLJjtzgTMDZnmwM0NEJB1rt7H2dB41xFOb9l6CTq/Hpr2XGE8REZEsmHwixTmSmI75a49Xe0JLTkEp5q89zoAJNQfOjS1gVht76swQEdmatdtYeziPMp4iIiIlYfKJFEWnF/DFtjNm51mx/Sx/goeqwNm/Xx8AgH+/Po0qYFYre+jMEBHJxdptbIvRoxA87FEAGgQPe7RRtdWMp4iISGmYfCJFOXc1p9oVurvdzC/Buas5NiqRsvn16Q1Nkybw69Nb7qLQ/7QYPQr3PNQfgAb3PNS/UXVmiIjkZu2EUbMhj8Cva2c0G/KIdQqoEIyniIhIaZh8IkXJLTQfKNV3PiI5BPaLhbOPNwL7xcpdFCKiRqexJoysifEUEREpDZNPpCh+Xq4mfztoXQCNQ9WrmfmIiIiIqIrYOInxFNkLb29vxMXFwdvbW+6iENktJp9IUSLv84e/95+BkNbJBRqNBlqnP5NPAT5uiLzPX47iERERESne3fFUTRhPkT3x9fXFiBEj4OvrK3dRiOwWk0+kKFoHDabERZmdZ/Lw9tA6aGxUIiIiIiJ1YTxFRERKw+QTKU7PDsGYM6FrtSt2AT5umDOhK3p2CJapZERERETqwHiKiIiUxFHuAhDVpGeHYMS0b4Z/LE7BZyc0GNHvXrzy0kBeoSPF0+kF/JFeiPIKHf5IL0QPvcD9lojISnR6ARev5SGnoBQXr+WhRctWbGPNMMRTny3LwKKTDnjioTaY9lfGU0REZHtMPpFiaR00aB7QBBoN0DygCQMlUrwjien4YtsZJF88i+LSSqzafhb7LmgxJS6KV5iJrIgDx9onQxubnpaK1Ov5WPj1SXxzIJttbB20DhqENPWARgOENPVgPNUIsA0kIjXiz+6IiKzgSGI65q89jpwC08dW5xSUYv7a4ziSmC5TyYgaHw4ca3/YxhL9iW0gEakRk09ERA2k0wv4YtsZs/Os2H4WOr1goxIRETUebGOJiIjUj8knIqIGOnc1p9rV+LvdzC/Buas5NioREVHjwTaWiIhI/WRPPun1enz66afo06cPOnbsiIkTJ+LatWu1zn/58mVMmTIFMTEx6NGjB6ZPn470dNNbrQcMGIDw8HCTf6+++qrUm0JEdiq30HynqL7zERGZY2+xE9tYIiIi9ZM9+bRkyRJs3LgR8+bNQ0JCAjQaDSZPnozy8vJq8+bl5eHZZ59FkyZN8NVXX2HFihXIy8vDc889h7KyMgBAUVER0tPTsXz5chw+fNj47+2337b1phGRnfDzcq17pnrMR0Rkjr3FTmxjiYiI1E/W5FN5eTlWr16NadOmITY2FhEREVi0aBGysrKwZ8+eavPv3bsXJSUl+OCDD3D//fejffv2+Pjjj5GUlIRTp04BAC5dugRBENCpUycEBgYa/3l6etp680il+AQRqq/I+/zh722+0xPg44bI+/xtVCIiaqzsMXZiG0skP8bHRNRQjnKu/MKFC7h9+za6d+9unObl5YXIyEgcP34cQ4YMMZm/R48e+Pzzz+Hi4lJtWQUFBQCAixcvIjAwEF5eXlYtqyAIKC4utuoyAaCkpMTklUxVVFQYX6Wo/5q4uLhg0KBBAGCzdVrKcJW7vLzcZmUtKSmBTqdDSUmJ4usHsN0xNuGRNvjHxsRa3x//l/tRVqq841yONqisrAyCIKCsrEwV+5Dh7hBblVdt9dPYzmOCIECjUe6j6NUSO1k7bpKqjRV7ThMzn7WPXWseW2LjBbWd46Ukts7U1mZbSo74uLGdX9SG9S8/tXwHYmMnWZNPmZmZAIBmzZqZTG/atCkyMjKqzR8SEoKQkBCTacuXL4eLiwu6du0KoOrqnbu7O6ZNm4bTp0/Dz88PI0eOxPjx4+HgYPmNXhUVFTh//rzFn69LcnKyZMtWsxs3bhhfpax/tTIcQ5mZmTarn4yMDBQVFSEpKUlVQZbUx5iXA/BEH3/8dDIft+6c7q7FXzr7wMshF+fP50pahoawZRuUkpKCyspKpKSkwMfHx2brtZThfJSWlgadTif5+tRWPwaN6Tzm7OwsdxFqpZbYydpx051t7I07GtmGtrFiz2li5pPq2LXGsZWeng5BEJCenm72e1HrOV4KYmMstbbZatKYzi9qxPqXnxq+AzGxk6zJJ0MG7+6Curi4GK/GmbNu3Tps2LABc+bMgb9/1a3Wly9fxq1btzB48GC89NJLOHHiBBYsWICCggK8/PLLFpfVyckJrVu3tvjztSkpKUFycjJCQ0Ph5uZm9eWr3dmzZwEAgYGBaNu2rcylUZ7s7GwAQFBQkM3qx93dHR4eHggLC0OrVq1sss6GsOUx1rYtMOIhAQnbK7HgtCOeHtwGo4f3h4ODcu+ikKMNys/Ph6OjI1q2bKmK41qr1QKo6sS3adNG8vWprX4a23nsypUrchfBLLXETlLETYY29udfzmBZ5r/w11HtMaBHVIPaWLHnNDHzWfvYteaxdfHiRWg0GgQHB5stm9rO8VISG2Oprc1Wk8Z2flEb1r/81PIdiI2dZE0+ubpW/X6/vLzc+H+g6vZVc5UrCAI++eQTLF26FM8//zyeeeYZ43tr1qxBWVkZPDw8AADh4eG4ffs2li5dimnTpll8BU+j0cDd3d2iz4rh5uYm6fLVysnJyfjK+qnO0Plwdna2Wf24ublBq9Wqbp+1ZXnDWwXA2UmL8FYB8PBoYpN1NpQt68fFxQUajQYuLi6q2IcMP1eyVXnVVj8GamsTaqPkn9wB6omdpIybOtwfhEBfd3S4P6jBbazYc5qY+aQ6dq1xbImNF9R6jpeC2DpTa5utJtwf5cX6l5/SvwOxsZOsA44bbhk3XFkwyM7ORlBQUI2fqaioQHx8PJYtW4ZZs2bhlVdeMXnfycnJGDwZtGnTBsXFxaKuCBIREREpFWMnIiIiUiNZk08RERHw8PDA0aNHjdMKCwtx7tw5dOnSpcbPzJo1Cz/99BMWLlyISZMmmbyn1+sxYMAALF261GT6mTNnEBAQAF9fX+tvBBERkRWFhIRgyJAh1cbpIQIYOxHZSnBwMHr16oXg4GC5i0JE1CjI+rM7Z2dnjBs3DgsWLICfnx+aN2+Ojz/+GEFBQRg4cCB0Oh1yc3Ph6ekJV1dXfPfdd9i5cydmzZqFbt26GQejBmCcZ9CgQVi5ciVCQ0PRrl07/PLLL1i5ciXeeOMNGbeUiIhInNDQULz//vtyF4MUirETkW20atUKf/3rX+1+7CsiImuRNfkEANOnT0dlZSXmzp2L0tJSdO3aFatWrYKzszPS0tLw4IMPYv78+Rg5ciR+/PFHAMBHH32Ejz76yGQ5hnlmzpwJLy8vLFy4EJmZmQgJCcEbb7yBJ554Qo7NIyIiIrIqxk5ERESkNrInn7RaLeLj4xEfH1/tvZCQEFy8eNH49+rVq+tcnqOjI6ZOnYqpU6datZxERERESsDYiYiIiNRG1jGfiIiIiIiIiIiocWPyiYiIiIiIiIiIJMPkE5GKeXh4wN/fv9ojsomIiIhIep6enggKCoKnp6fcRSEiUjQmn4hUzMvLC/7+/vDy8pK7KERERER2x9vbG0FBQfD29pa7KEREisbkExERERERERERSYbJJ1K0Jk2awNnZGU2aNJG7KEREREREJry9vREXF8c7n4iI6uAodwGIzPHw8ICTkxPHNCIiIiIixfH19cWIESPkLgYRkeLxziciIiIiIiIiIpIMk09ERERERERERCQZJp+IiIiIiIiIiEgyTD4REREREREREZFkmHwiIiIiIiIiIiLJMPlERERERERERESSYfKJiIiIiIiIiIgkw+QTERERERERERFJhsknIiIiIiIiIiKSDJNPREREREREREQkGSafiIiIiIiIiIhIMkw+ERERERERERGRZJh8IiIiIiIiIiIiyTD5REREREREREREkmHyiYjIyjw9PREUFARPT0+5i0JERAQPDw+4urrCw8ND7qIQEZGdYvKJiMjKvL29ERQUBG9vb7mLQkREBA8PD7i4uDD5REREsmHyiYiIiIiIiIiIJMPkExHVi7e3N+Li4nhXDxERkUp4eXkhKCgIXl5echeFiIjslOzJJ71ej08//RR9+vRBx44dMXHiRFy7dq3W+S9fvowpU6YgJiYGPXr0wPTp05Genm4yz65duzB48GBERUVh6NChOHjwoNSbQRLx9PSEv78/x85REF9fX4wYMQK+vr5yF4WIyC4xdqL6Ept84gUmIiKSiuzJpyVLlmDjxo2YN28eEhISoNFoMHnyZJSXl1ebNy8vD88++yyaNGmCr776CitWrEBeXh6ee+45lJWVAQB+/fVXxMfHY8yYMdi2bRt69+6NF198EUlJSbbeNLICJp+IiIhMMXYiqfACExERSUXW5FN5eTlWr16NadOmITY2FhEREVi0aBGysrKwZ8+eavPv3bsXJSUl+OCDD3D//fejffv2+Pjjj5GUlIRTp04BAFasWIGBAwdi3LhxCAsLw+zZs9GuXTusXbvW1ptHVuDt7Y2+ffvyChwREREYO5FleEcTERHJzVHOlV+4cAG3b99G9+7djdO8vLwQGRmJ48ePY8iQISbz9+jRA59//jlcXFyqLaugoAB6vR6nTp3Ca6+9ZvJeTExMjQFZfQiCgOLi4gYtoyYlJSUmr2TKxcUFsbGxcHFxkaT+1c5w1bqsrIz1Uws5jrGSkhLodDqUlJQo/nuRo37KysogCIJq9lseZ+Y1tvOYIAjQaDRyF6NWaomdpIqbAOu2sWKXJWY+a7dt1jy2XFxcMGjQIABgOyZSY2vb1IjfgbxY//JTy3cgNnaSNfmUmZkJAGjWrJnJ9KZNmyIjI6Pa/CEhIQgJCTGZtnz5cri4uKBr164oLCxEcXExgoKCRC2vPioqKnD+/PkGLcOc5ORkyZbdGLB+ambYr9PS0qDT6WQujbLZch/KyMhAUVERkpKSVBPk27J+SkpKEBMTg5KSEknbVWvhcSZOY2qnnZ2d5S5CrdQSO0kZN1mzjRW7LDHzSdW2NaZjS41Y//LjdyAv1r/81PAdiImdZE0+GTJ4dxfUxcUFBQUFdX5+3bp12LBhA+bMmQN/f39jQFbT8gxXri3l5OSE1q1bN2gZNSkpKUFycjJCQ0Ph5uZm9eWrHevHPK1WC6Cqc9GmTRuZS6NMcuxD7u7u8PDwQFhYGFq1amWTdVpKjvpp27YtBgwYYJN1WYOvry/69u2LyMjIah10anzt9JUrV+QugllqiZ2kipsA67axYpfVrFkzPPnkk+jUqRN8fHxqnMfabVtjO7bUhvUvP34H8mL9y08t34HY2EnW5JOrqyuAqvELDP8Hqm5bNle5giDgk08+wdKlS/H888/jmWeeAQDjLeV3D7hZ1/LE0Gg0cHd3b9AyzHFzc5N0+WrH+qmZYZ93cXFh/dTBlvuQm5sbtFqtqvZbNZXV1oKCghAbG4ugoCDWkRmNZR9S8k/uAPXETlLGTdZsY8Uuy93dHU8++WSD1mWpxnJsqRXrX378DuTF+pef0r8DsbGTrAOOG24Zz87ONpmenZ1d69XliooKxMfHY9myZZg1axZeeeUV43s+Pj5wd3ev1/KIiIiI1IKxExEREamRrMmniIgIeHh44OjRo8ZphYWFOHfuHLp06VLjZ2bNmoWffvoJCxcuxKRJk0ze02g06NSpE44dO2Yy/ejRo+jcubP1N4CIiIjIhhg7ERERkRrJ+rM7Z2dnjBs3DgsWLICfnx+aN2+Ojz/+GEFBQRg4cCB0Oh1yc3Ph6ekJV1dXfPfdd9i5cydmzZqFbt264caNG8ZlGeZ59tlnMWXKFERGRqJv377YsmULzp8/j/fee0/GLSUiIiJqOMZOREREpEay3vkEANOnT8fjjz+OuXPn4qmnnoJWq8WqVavg7OyMjIwM9O7dGzt37gQA/PjjjwCAjz76CL179zb5Z5ind+/eeP/99/HNN99gxIgR+PXXX7Fs2TKEhYXJto1ERERE1sLYiYiIiNRG1jufgKqndcXHxyM+Pr7aeyEhIbh48aLx79WrV4taZlxcHOLi4qxVRCIiIiLFYOxEREREaiP7nU9ERERERERERNR4MflERERERERERESSYfKJiIiIiIiIiIgkw+QTkYp5e3ujb9++8Pb2lrsoREREquPt7Y24uDieR4mIiCQm+4DjRGQ5Hx8fxMbGwsfHR+6iEBERqY6vry9GjBghdzGIiIgaPd75RERkZbySTkQkHbaxRERE6sM7n4iIrIxX0omIpMM2loiISH145xMREREREREREUmGySciIiIiIiIiIpIMk09ERERERERERCQZJp+IiIiIiIiIiEgyTD4REREREREREZFkmHwiIiIiIiIiIiLJMPlERERERERERESSYfKJiIiIiIiIiIgkw+QTERERERERERFJhsknIiIiIiIiIiKSjEYQBEHuQijdqVOnIAgCnJ2drb5sQRBQUVEBJycnaDQaqy9f7Vg/5rF+6sY6Mo/1UzfWkXmNrX7Ky8uh0WjQqVMnuYuiWlLGTfaksR1basP6lx+/A3mx/uWnlu9AbOzkaKPyqJqUX7RGo2FwZgbrxzzWT91YR+axfurGOjKvsdWPRqNRdICnBqw/62hsx5basP7lx+9AXqx/+anlOxAbO/HOJyIiIiIiIiIikgzHfCIiIiIiIiIiIskw+URERERERERERJJh8omIiIiIiIiIiCTD5BMREREREREREUmGySciIiIiIiIiIpIMk09ERERERERERCQZJp+IiIiIiIiIiEgyTD4REREREREREZFkmHwiIiIiIiIiIiLJMPlERERERERERESSYfKJiIiIiIiIiIgkw+QTERERERERERFJhsmnBtDr9fj000/Rp08fdOzYERMnTsS1a9dqnf/y5cuYMmUKYmJi0KNHD0yfPh3p6ekm8yQmJmLs2LHo0KEDYmNj8emnn0Kv1xvfz8vLw8yZM9G1a1d07doVb775JoqLiyXbxoaSo462bt2K8PDwav/MrVcu1q6fmrbb8M8wn5r2ITnqR037DyDNMfbDDz9gyJAh6NixIwYPHowtW7aYvG/P+xBQd/2oaR+ydv0IgoD169fjkUcewQMPPIDRo0fjyJEjJstQ0/5DZAs5OTmIj49H9+7dER0djSlTpuDKlSvG98+fP49x48bhgQceQL9+/bBq1SoZS9u4/fHHH4iOjsZ3331nnMb6l97169drPG9u3rwZAL8DW9i2bRsGDx6MqKgoDBkyBLt27TK+x/qX1tGjR2vtnzz44IMAGtF3IJDFPvvsM6FHjx7C/v37hfPnzwsTJ04UBg4cKJSVlVWbNzc3V+jVq5fwt7/9Tbh06ZJw5swZYdy4ccIjjzwilJaWCoIgCFevXhU6duwovPbaa8LVq1eFnTt3Cg888IDwxRdfGJczbtw4YdSoUcLZs2eFI0eOCP379xdmzZpls22uLznqaP78+cK4ceOE7Oxsk3+VlZU2226xrF0/d2/ztWvXhL59+wozZ840LkdN+5Ac9aOm/UcQrF9HR44cESIjI4VvvvlGSElJEb766ishIiJC+Pnnn43Lsed9SEz9qGkfsnb9LF++XGjXrp2wfv164Y8//hDWrVsnREVFCUePHjUuR037D5EtjBo1Shg9erSQmJgoXLlyRZg2bZrQq1cvobi4WMjNzRViYmKEN954Q7hy5Yrw7bffClFRUcK3334rd7EbnfLycmHkyJFCmzZthC1btgiCILD+bWTfvn1CVFSUkJWVZXLeLCkp4XdgA9u2bRPatm0rfPnll0JycrKwePFiISIiQjh16hTr3wbKysqqxYyHDx8WIiMjhU2bNjWq74DJJwuVlZUJ0dHRwoYNG4zTCgoKhA4dOgg//vhjtfk3bdokdOrUyRigC4IgZGRkCG3atBGOHDkiCIIgzJ49W3jssccEvV5vnOeTTz4R/vrXvwqCIAinTp0S2rRpI1y5csX4/qFDh4Tw8HAhMzPT6tvYUHLUkSAIwrPPPivMmzdPik2yKinq525vvvmmMGDAAKG4uFgQBHXtQ3LUjyCoZ/8RBGnqaN68ecKIESNMPhcXFye8++67giBwH6qrfgRBPfuQFPXTtWtX4cMPPzT53BtvvCGMHz9eEAR17T9EtpCbmyvMmDFDuHTpknHa+fPnhTZt2gj//e9/hWXLlgl9+vQRKioqjO8vXLhQGDRokBzFbdQWLlwoPP300ybJJ9a/bSxdulQYNmxYje/xO5CWXq8X+vfvL3zwwQcm0ydOnCgsW7aM9S+D8vJyYciQIcLf/vY3QRAa1zHAn91Z6MKFC7h9+za6d+9unObl5YXIyEgcP3682vw9evTA559/DhcXl2rvFRQUAAAOHTqERx99FBqNxvje9OnTsXTpUgDAiRMnEBgYiLCwMOP73bp1g0ajwcmTJ622bdYiRx0BwMWLF9G6dWtrbookpKifO507dw6bN2/GW2+9BTc3NwDq2ofkqB9APfsPIE0d+fj44MqVK/j1118hCAKOHj2KpKQkdOzYEQD3obrqB1DPPmTt+snNzUVBQQG6du1q8l7btm1x8uRJ6HQ6Ve0/RLbg6+uLf/zjH7j//vsBADdv3sSqVasQFBSE1q1b48SJE+jatSscHR2Nn+nevTv++OMP5OTkyFXsRuf48eNISEjAhx9+aDKd9W8b5s6b/A6kdfXqVVy/fh1Dhw41mb5q1So8//zzrH8ZfP3118jIyMCcOXMANK5jwLHuWagmmZmZAIBmzZqZTG/atCkyMjKqzR8SEoKQkBCTacuXL4eLiwu6du2KoqIi3Lx5E56ennj99ddx8OBBeHl5IS4uDpMmTYJWq0VWVla19Tk7O8PHx6fGdcpNjjrKzc3FzZs3cfz4caxfvx75+fno2LEjXn31Vdx7773SbawFrF0/d/v000/RuXNnxMbGGqepaR+So37UtP8A0tTR+PHjcebMGUyYMAFarRY6nQ6TJ0/GsGHDAHAfqqt+1LQPWbt+vL294ezsXO2z169fR0VFBQoLC1W1/xDZ2ptvvolNmzbB2dkZS5cuhbu7OzIzM9GmTRuT+Zo2bQoASE9Ph7+/vxxFbVQKCwsxa9YszJ07t1r7xPq3jUuXLiEwMBBjxoxBcnIyWrVqhRdeeAF9+vThdyCx5ORkAEBxcTEmTZqEc+fOISQkBFOnTsWAAQNY/zZWVlaGZcuWYcKECcZ6bkzfAe98slBJSQmAqqD5Ti4uLigrK6vz8+vWrcOGDRvwyiuvwN/fH0VFRQCADz/8EMHBwVixYgWee+45LF++HIsXLzau8+711WedtiZHHV26dAkAoNVq8eGHH2LRokUoLi7GmDFjcPPmTWtuXoNZu37udPXqVezfvx/PP//8/7d350FVlf8fwN8sxiIgy2ikuA0IKBCLgiaawpiWKEozmaOSiuKSYOJKNQrVfDVlSSVzI811Cr2CmWa5TFkjBiRiSoKZEiqLgAim7J/fHw735w2+X0vv4r29XzN35t7n3HOf5/mcz7mc8/Ccc9vUqS85pIv46FP+AJqJUUlJCaqrq7FixQooFArExsZi586dypuv/ttz6FHx0accUnd8TExMMG7cOGzcuBHnzp1DS0sLMjMzlTdkb2ho0Kv8IdK2qVOnQqFQIDQ0FPPmzcPFixdRV1fX7j4KgPuMmsTHx8PHx6fNzA8AjL8WNDQ04Nq1a7h79y4WLFiALVu2wMvLC5GRkcjMzOQ20LDW86tly5ZhzJgx2LZtGwIDA/Hmm28y/jpw8OBB1NfXIzw8XFlmSNuAM58ek7m5OYAHX5itz4EHCfDwJTx/JSJYt24dNm7ciNmzZ2PatGkAgA4dOgAABg8ejKioKAAPLlWoqqrChg0bMH/+fJibm6OhoaHNZ9bX18PS0lJdXVMbXcRo0KBByMrKQqdOnZSft2HDBgQFBeHAgQOYNWuWurv52NQdn4d9+eWX6Nq1K4YMGdKmTn3JIV3ER5/yB9BMjObPn4+xY8di8uTJAB7sY3fu3MHq1asxfvz4f30OPSo++pRDmohPbGws6uvrMWnSJABAnz59EBkZiYSEBFhbW+tV/hBpW+tlRx988AHOnTuH3bt3t7vPtJ5scJ95chkZGcjJycGhQ4faXc74a94zzzyD7OxsmJqaKk+wPT09ceXKFXz66afcBhrWen41Y8YMhIWFAXhwbJOfn4/t27cz/lqWkZGBkSNHws7OTllmSNuAM58eU+u03PLycpXy8vJyODo6trtOY2MjlixZgk2bNmHp0qVYuHChcpmtrS3MzMzaTKnr06cP7t27h6qqKjg6Orapr6GhAdXV1Xj22WfV0S210kWMAKic9AEPdkonJyeUlZU9cZ/USd3xediJEyfwyiuvqNwbC4Be5ZAu4gPoT/4A6o9RVVUVrl69Ci8vL5V1fHx8UF1djerq6n91Dv2d+AD6k0Oa2MesrKyQkJCA3NxcfP/99zh48CAsLCzQuXNnWFpa6lX+EGlDZWUlvvrqKzQ3NyvLjI2N4ezsrNwX29tHAXCfUQOFQoHKykoMHz4cvr6+8PX1BQDExcUhJCSE8dcSS0vLNjM7XF1dUVZWxm2gYa1/7/96fuXi4oLr168z/lpUVVWF3NxcjB49WqXckLYBB58ek7u7O6ysrPDTTz8py2pqapCfn48BAwa0u87SpUtx9OhRJCUlYcaMGSrLTExM4Ofnh7y8PJXygoIC2NjYwNbWFv7+/igtLUVRUZFyeWv9fn5+6uqa2ugiRnv37sXAgQNRV1enXH737l1cu3btqbsBsLrj06q2thaXL19WuYlwK33KIV3ER5/yB1B/jGxtbWFhYYGCggKV8sLCQtjY2MDe3v5fnUN/Jz76lEOa2MfeffddpKWlwczMDJ07dwYAHD16FEOHDgWgX99BRNpQXl6ORYsWISsrS1nW2NiI/Px8ODs7w9/fX3nD/laZmZno3bu3Xt3n42mVmJiII0eOICMjQ/kAHsxy3bJlC+OvBZcuXYKvry9ycnJUyi9cuAAXFxduAw3r168fOnbs2Ob8qrCwED169GD8tejs2bMwMjJCQECASrlBbQOd/c6eAUhOTpaAgAA5fvy4/PrrrxIRESEjR46U+vp6aWpqkvLycrl//76IiCgUCnF1dZXU1FQpLy9XebS+58yZM9K3b19Zv369FBUVyZEjR6R///6SkpIiIg9+CnPixIkSFhYmeXl5kpmZKUFBQRIbG6uzGDyKtmN08+ZN8ff3l+joaCksLJTz58/LtGnTZMSIEcrPeJqoOz4iIllZWeLq6truz5brWw5pOz76lj8i6o9RcnKy+Pr6Snp6uvzxxx+Snp4uvr6+snXrVhFhDj0qPvqWQ+qOT0pKigwePFhOnz4tRUVFEh8fL35+fnLt2jUR0b/8IdK0lpYWiYiIkFGjRkl2drYUFBRITEyM+Pv7y40bN6SiokL8/f1l2bJlcvnyZVEoFOLl5SUHDhzQddMNlqurqygUChERxl8Lmpub5bXXXpMxY8ZIdna2/Pbbb7Jy5Urx9PSUS5cucRtowYYNG8TX11cOHTokRUVF8sknn4i7u7ucOXOG8deilJQUGTlyZJtyQ9oGHHx6Ak1NTbJmzRoZNGiQ+Pj4SGRkpBQXF4uISHFxscofr+nTp4urq2u7j9b3iIicOnVKwsLCxMPDQ4YPHy6bN2+W5uZm5fKKigqJjo4WHx8fGThwoMTFxUldXZ12O/4P6CJG+fn5EhERIf379xc/Pz+Jjo6Wmzdvarfjf5Mm4nP48GFxdXWV+vr6duvUpxzSRXz0KX9E1B+jpqYm2bZtm7z88svi7e0tISEhsnfvXmlpaVHW+W/Oob8TH33KIXXHp7GxUVavXi2BgYHi4+Mj06ZNk4sXL6rUqU/5Q6QNNTU1EhcXJ4GBgfL8889LRESEFBYWKpfn5eXJhAkTxNPTU4KCgmTXrl06bK3h++txA+OveZWVlfL2229LYGCgeHl5yeuvvy7Z2dnK5dwGmrdt2zYJDg4WDw8PCQ0NlWPHjimXMf7aERcXJxMmTGh3maFsAyMREV3PviIiIiIiIiIiIsPEez4REREREREREZHGcPCJiIiIiIiIiIg0hoNPRERERERERESkMRx8IiIiIiIiIiIijeHgExERERERERERaQwHn4iIiIiIiIiISGM4+ERERERERERERBrDwSciIiIiIiKCiOi6CURkoDj4RET0EDc3N6SkpOi6GURERERadeLECSxbtkzXzSAiA2Wq6wYQET1NvvjiCzg6Ouq6GURERERa9dlnn+m6CURkwDj4RET0EB8fH103gYiIiIiIyKAYCS/sJSIDFBwcjLFjx6Kurg7p6ekAgGHDhuGdd96BnZ0dYmNjUVJSgl69euHw4cPo3r079u3bBw8PD0RFRSE6OhoAUFlZiaSkJHz33Xe4f/8++vXrh4ULF6J///4AgJaWFqSmpmLfvn0oKSlBt27dMGXKFISHh+us70RERET/RHh4OLKyspSvd+7cCTc3NyQnJ+P48eOora1F3759ERMTgxdeeEH5Pjc3N8THxyMvLw/Hjh2DiYkJQkNDsXjxYqxbtw7p6ekQEYwYMQIrVqyAmZmZcr3ly5fjl19+wbfffgsLCwuMHj0aixcvhrm5udb7T0Sax5lPRGSw9u7di549e2LlypWoqqpCUlISfv/9d+zbtw8AkJOTAyMjI6SkpODPP/+EqanqV+K9e/cwceJENDY2YtGiRXB0dMSOHTswc+ZM7N+/H87OzoiPj8eBAwcwe/Zs+Pr6Ijs7GytXrkRNTQ3mzZuni24TERER/SNxcXFYsmSJ8rmLiwsmT56MiooKxMTEoEuXLlAoFJg5cyZSU1NVBqASExMREhKCjz/+GCdPnsTOnTvx448/wt3dHQkJCcjJycGmTZvQu3dvzJw5U7neunXr4O3tjbVr1+LKlStYu3YtysrKeO9NIgPFwSciMlhGRkbYvn07rK2tAQD29vaYN28eTp06BQBoamrCe++9h549e7a7fnp6OoqLi5GRkQF3d3cAwIABAzB+/HhkZ2fD2NgYaWlpWLhwIWbNmgUAGDJkCIyMjLB582ZMmjQJdnZ2WugpERER0eNzcXGBlZUVgAe3IEhLS8OlS5eQlpYGb29vAMCLL76I8PBwJCYmQqFQKNd1dnbG+++/DwDw9/fH/v370djYiMTERJiammLo0KE4efIkzp49q1Knvb09Nm3aBFNTUwwbNgzGxsZYtWoVLl++jD59+mip50SkLfy1OyIyWEFBQcqBJ+DBpXgdOnRATk4OAMDc3Bw9evT4r+vn5OTAyclJOfAEAGZmZvj6668xceJEnDlzBiKC4OBgNDU1KR/BwcGor6/Hzz//rLnOEREREWlIZmYmOnfuDA8PD+XxTXNzM4KCgnDhwgXcuXNH+V5fX1/lc1NTU9jZ2cHT01NlRrmtrS1qa2tV6ggJCVF5z6hRowBAeZxGRIaFM5+IyGB16dJF5bWxsTFsbW1RU1MDAHBwcICRkdF/Xb+6uhoODg7/cznw4OCpPWVlZf+wxURERES6V11djVu3bsHDw6Pd5bdu3UKnTp0AQDlj6mEWFhaPrOOvx2mtx1ytx2lEZFg4+EREBqt1cKhVc3Mzbt++DXt7e5SWlj5yfWtra1y/fr1NeW5uLqysrGBjYwMA2LFjBzp27NjmfV27dn28hhMRERHpkLW1NXr16oXExMR2lzs5OT1xHX89TquoqADw4HI8IjI8vOyOiAzWDz/8gIaGBuXrEydOoKmpSeUmmf/LgAEDUFxcjIKCAmVZQ0MDoqOjkZaWBn9/fwDA7du34eXlpXxUV1dj7dq1bQ6qiIiIiJ5Wxsb/f2oYEBCAkpISODg4qBzjZGZmIjU1FSYmJk9c38mTJ1Vef/PNNzAyMsKgQYOe+LOJ6OnDmU9EZLBKS0sxd+5cvPHGGygpKUFycjKGDBmCgQMHIj09/ZHrv/rqq9i1axfmzp2Lt956C/b29tizZw/q6uoQHh6OHj16IDQ0FMuXL8eNGzfg6emJq1ev4qOPPoKTkxN69eql+U4SERERqYGNjQ1yc3ORmZmJl156Cbt378b06dMxZ84cPPfcczh9+jS2bt2KKVOmoEOHDk9c3/nz57F48WKMGzcOBQUFWL9+PSZMmIDu3buroTdE9LTh4BMRGayQkBDY2NhgwYIFsLS0RFhYGGJiYv72+lZWVti9ezfWrFmD//znP2hqaoK3tzd27dqlvFH5qlWrsHnzZnz++ecoLS2Fg4MDRo8ejQULFqjlv4JERERE2jB58mRcuHABkZGRWLVqFfbs2YOkpCQkJCSgtrYW3bp1w6JFixAREaGW+qZOnYqysjJERUXBzs4Oc+bMwezZs9Xy2UT09DESEdF1I4iI1C04OBgBAQH48MMPdd0UIiIiInqIm5sboqKiEB0dreumEJGW8J5PRERERERERESkMRx8IiIiIiIiIiIijeFld0REREREREREpDGc+URERERERERERBrDwSciIiIiIiIiItIYDj4REREREREREZHGcPCJiIiIiIiIiIg0hoNPRERERERERESkMRx8IiIiIiIiIiIijeHgExERERERERERaQwHn4iIiIiIiIiISGP+D2nr3wLzGA50AAAAAElFTkSuQmCC\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 4))\\n\",\n    \"\\n\",\n    \"smg.plot_fit(result, 0, ax=ax1)\\n\",\n    \"smg.plot_fit(result, 1, ax=ax2)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch14-regressionplots.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 103,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 4))\\n\",\n    \"\\n\",\n    \"sns.regplot(dataset.data, x=\\\"price\\\", y=\\\"cons\\\", ax=ax1);\\n\",\n    \"sns.regplot(dataset.data, x=\\\"temp\\\", y=\\\"cons\\\", ax=ax2);\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch14-regressionplots-seaborn.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Discrete regression, logistic regression\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 104,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df = sm.datasets.get_rdataset(\\\"iris\\\").data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 105,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"<class 'pandas.core.frame.DataFrame'>\\n\",\n      \"RangeIndex: 150 entries, 0 to 149\\n\",\n      \"Data columns (total 5 columns):\\n\",\n      \" #   Column        Non-Null Count  Dtype  \\n\",\n      \"---  ------        --------------  -----  \\n\",\n      \" 0   Sepal.Length  150 non-null    float64\\n\",\n      \" 1   Sepal.Width   150 non-null    float64\\n\",\n      \" 2   Petal.Length  150 non-null    float64\\n\",\n      \" 3   Petal.Width   150 non-null    float64\\n\",\n      \" 4   Species       150 non-null    object \\n\",\n      \"dtypes: float64(4), object(1)\\n\",\n      \"memory usage: 6.0+ KB\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"df.info()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 106,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array(['setosa', 'versicolor', 'virginica'], dtype=object)\"\n      ]\n     },\n     \"execution_count\": 106,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.Species.unique()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 107,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_subset = df[(df.Species == \\\"versicolor\\\") | (df.Species == \\\"virginica\\\" )].copy()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 108,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"df_subset = df[df.Species.isin([\\\"versicolor\\\", \\\"virginica\\\"])].copy()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 109,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_subset.Species = df_subset.Species.map({\\\"versicolor\\\": 1, \\\"virginica\\\": 0})\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 110,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_subset.rename(columns={\\\"Sepal.Length\\\": \\\"Sepal_Length\\\", \\\"Sepal.Width\\\": \\\"Sepal_Width\\\",\\n\",\n    \"                          \\\"Petal.Length\\\": \\\"Petal_Length\\\", \\\"Petal.Width\\\": \\\"Petal_Width\\\"}, inplace=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 111,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Sepal_Length</th>\\n\",\n       \"      <th>Sepal_Width</th>\\n\",\n       \"      <th>Petal_Length</th>\\n\",\n       \"      <th>Petal_Width</th>\\n\",\n       \"      <th>Species</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>50</th>\\n\",\n       \"      <td>7.0</td>\\n\",\n       \"      <td>3.2</td>\\n\",\n       \"      <td>4.7</td>\\n\",\n       \"      <td>1.4</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>51</th>\\n\",\n       \"      <td>6.4</td>\\n\",\n       \"      <td>3.2</td>\\n\",\n       \"      <td>4.5</td>\\n\",\n       \"      <td>1.5</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>52</th>\\n\",\n       \"      <td>6.9</td>\\n\",\n       \"      <td>3.1</td>\\n\",\n       \"      <td>4.9</td>\\n\",\n       \"      <td>1.5</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"    Sepal_Length  Sepal_Width  Petal_Length  Petal_Width  Species\\n\",\n       \"50           7.0          3.2           4.7          1.4        1\\n\",\n       \"51           6.4          3.2           4.5          1.5        1\\n\",\n       \"52           6.9          3.1           4.9          1.5        1\"\n      ]\n     },\n     \"execution_count\": 111,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_subset.head(3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 112,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"model = smf.logit(\\\"Species ~ Sepal_Length + Sepal_Width + Petal_Length + Petal_Width\\\", data=df_subset)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 113,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Optimization terminated successfully.\\n\",\n      \"         Current function value: 0.059493\\n\",\n      \"         Iterations 12\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"result = model.fit()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 114,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"                           Logit Regression Results                           \\n\",\n      \"==============================================================================\\n\",\n      \"Dep. Variable:                Species   No. Observations:                  100\\n\",\n      \"Model:                          Logit   Df Residuals:                       95\\n\",\n      \"Method:                           MLE   Df Model:                            4\\n\",\n      \"Date:                Sun, 03 Nov 2024   Pseudo R-squ.:                  0.9142\\n\",\n      \"Time:                        09:18:18   Log-Likelihood:                -5.9493\\n\",\n      \"converged:                       True   LL-Null:                       -69.315\\n\",\n      \"Covariance Type:            nonrobust   LLR p-value:                 1.947e-26\\n\",\n      \"================================================================================\\n\",\n      \"                   coef    std err          z      P>|z|      [0.025      0.975]\\n\",\n      \"--------------------------------------------------------------------------------\\n\",\n      \"Intercept       42.6378     25.708      1.659      0.097      -7.748      93.024\\n\",\n      \"Sepal_Length     2.4652      2.394      1.030      0.303      -2.228       7.158\\n\",\n      \"Sepal_Width      6.6809      4.480      1.491      0.136      -2.099      15.461\\n\",\n      \"Petal_Length    -9.4294      4.737     -1.990      0.047     -18.714      -0.145\\n\",\n      \"Petal_Width    -18.2861      9.743     -1.877      0.061     -37.381       0.809\\n\",\n      \"================================================================================\\n\",\n      \"\\n\",\n      \"Possibly complete quasi-separation: A fraction 0.60 of observations can be\\n\",\n      \"perfectly predicted. This might indicate that there is complete\\n\",\n      \"quasi-separation. In this case some parameters will not be identified.\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"print(result.summary())\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 115,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"        Logit Marginal Effects       \\n\",\n      \"=====================================\\n\",\n      \"Dep. Variable:                Species\\n\",\n      \"Method:                          dydx\\n\",\n      \"At:                           overall\\n\",\n      \"================================================================================\\n\",\n      \"                  dy/dx    std err          z      P>|z|      [0.025      0.975]\\n\",\n      \"--------------------------------------------------------------------------------\\n\",\n      \"Sepal_Length     0.0445      0.038      1.163      0.245      -0.031       0.120\\n\",\n      \"Sepal_Width      0.1207      0.064      1.891      0.059      -0.004       0.246\\n\",\n      \"Petal_Length    -0.1703      0.057     -2.965      0.003      -0.283      -0.058\\n\",\n      \"Petal_Width     -0.3303      0.110     -2.998      0.003      -0.546      -0.114\\n\",\n      \"================================================================================\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"print(result.get_margeff().summary())\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"**Note:** Sepal_Length and Sepal_Width do not seem to contribute much to predictiveness of the model. \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 116,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"model = smf.logit(\\\"Species ~ Petal_Length + Petal_Width\\\", data=df_subset)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 117,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Optimization terminated successfully.\\n\",\n      \"         Current function value: 0.102818\\n\",\n      \"         Iterations 10\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"result = model.fit()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 118,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"                           Logit Regression Results                           \\n\",\n      \"==============================================================================\\n\",\n      \"Dep. Variable:                Species   No. Observations:                  100\\n\",\n      \"Model:                          Logit   Df Residuals:                       97\\n\",\n      \"Method:                           MLE   Df Model:                            2\\n\",\n      \"Date:                Sun, 03 Nov 2024   Pseudo R-squ.:                  0.8517\\n\",\n      \"Time:                        09:18:18   Log-Likelihood:                -10.282\\n\",\n      \"converged:                       True   LL-Null:                       -69.315\\n\",\n      \"Covariance Type:            nonrobust   LLR p-value:                 2.303e-26\\n\",\n      \"================================================================================\\n\",\n      \"                   coef    std err          z      P>|z|      [0.025      0.975]\\n\",\n      \"--------------------------------------------------------------------------------\\n\",\n      \"Intercept       45.2723     13.612      3.326      0.001      18.594      71.951\\n\",\n      \"Petal_Length    -5.7545      2.306     -2.496      0.013     -10.274      -1.235\\n\",\n      \"Petal_Width    -10.4467      3.756     -2.782      0.005     -17.808      -3.086\\n\",\n      \"================================================================================\\n\",\n      \"\\n\",\n      \"Possibly complete quasi-separation: A fraction 0.34 of observations can be\\n\",\n      \"perfectly predicted. This might indicate that there is complete\\n\",\n      \"quasi-separation. In this case some parameters will not be identified.\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"print(result.summary())\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 119,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"        Logit Marginal Effects       \\n\",\n      \"=====================================\\n\",\n      \"Dep. Variable:                Species\\n\",\n      \"Method:                          dydx\\n\",\n      \"At:                           overall\\n\",\n      \"================================================================================\\n\",\n      \"                  dy/dx    std err          z      P>|z|      [0.025      0.975]\\n\",\n      \"--------------------------------------------------------------------------------\\n\",\n      \"Petal_Length    -0.1736      0.052     -3.347      0.001      -0.275      -0.072\\n\",\n      \"Petal_Width     -0.3151      0.068     -4.608      0.000      -0.449      -0.181\\n\",\n      \"================================================================================\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"print(result.get_margeff().summary())\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 120,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"params = result.params\\n\",\n    \"beta0 = -params['Intercept']/params['Petal_Width']\\n\",\n    \"beta1 = -params['Petal_Length']/params['Petal_Width']\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 121,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_new = pd.DataFrame({\\\"Petal_Length\\\": np.random.randn(20)*0.5 + 5,\\n\",\n    \"                       \\\"Petal_Width\\\": np.random.randn(20)*0.5 + 1.7})\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 122,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_new[\\\"P-Species\\\"] = result.predict(df_new)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 123,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0    0.995472\\n\",\n       \"1    0.799899\\n\",\n       \"2    0.000033\\n\",\n       \"Name: P-Species, dtype: float64\"\n      ]\n     },\n     \"execution_count\": 123,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_new[\\\"P-Species\\\"].head(3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 124,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_new[\\\"Species\\\"] = (df_new[\\\"P-Species\\\"] > 0.5).astype(int)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 125,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Petal_Length</th>\\n\",\n       \"      <th>Petal_Width</th>\\n\",\n       \"      <th>P-Species</th>\\n\",\n       \"      <th>Species</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>4.717684</td>\\n\",\n       \"      <td>1.218695</td>\\n\",\n       \"      <td>0.995472</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>5.280952</td>\\n\",\n       \"      <td>1.292013</td>\\n\",\n       \"      <td>0.799899</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>5.610778</td>\\n\",\n       \"      <td>2.230056</td>\\n\",\n       \"      <td>0.000033</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>4.458715</td>\\n\",\n       \"      <td>1.907844</td>\\n\",\n       \"      <td>0.421614</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>4.822227</td>\\n\",\n       \"      <td>1.938929</td>\\n\",\n       \"      <td>0.061070</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   Petal_Length  Petal_Width  P-Species  Species\\n\",\n       \"0      4.717684     1.218695   0.995472        1\\n\",\n       \"1      5.280952     1.292013   0.799899        1\\n\",\n       \"2      5.610778     2.230056   0.000033        0\\n\",\n       \"3      4.458715     1.907844   0.421614        0\\n\",\n       \"4      4.822227     1.938929   0.061070        0\"\n      ]\n     },\n     \"execution_count\": 125,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_new.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 126,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(8, 4))\\n\",\n    \"\\n\",\n    \"ax.plot(df_subset[df_subset.Species == 0].Petal_Length.values,\\n\",\n    \"        df_subset[df_subset.Species == 0].Petal_Width.values, 's', label='virginica')\\n\",\n    \"ax.plot(df_new[df_new.Species == 0].Petal_Length.values,\\n\",\n    \"        df_new[df_new.Species == 0].Petal_Width.values,\\n\",\n    \"        'o', markersize=10, color=\\\"steelblue\\\", label='virginica (pred.)')\\n\",\n    \"\\n\",\n    \"ax.plot(df_subset[df_subset.Species == 1].Petal_Length.values,\\n\",\n    \"        df_subset[df_subset.Species == 1].Petal_Width.values, 's', label='versicolor')\\n\",\n    \"ax.plot(df_new[df_new.Species == 1].Petal_Length.values,\\n\",\n    \"        df_new[df_new.Species == 1].Petal_Width.values,\\n\",\n    \"        'o', markersize=10, color=\\\"green\\\", label='versicolor (pred.)')\\n\",\n    \"\\n\",\n    \"_x = np.array([4.0, 6.1])\\n\",\n    \"ax.plot(_x, beta0 + beta1 * _x, 'k')\\n\",\n    \"\\n\",\n    \"ax.set_xlabel('Petal length')\\n\",\n    \"ax.set_ylabel('Petal width')\\n\",\n    \"ax.legend(loc=2)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch14-logit.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Poisson distribution\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 127,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"dataset = sm.datasets.get_rdataset(\\\"discoveries\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 128,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df = dataset.data.set_index(\\\"time\\\").rename(columns={\\\"value\\\": \\\"discoveries\\\"})\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 129,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th>1860</th>\\n\",\n       \"      <th>1861</th>\\n\",\n       \"      <th>1862</th>\\n\",\n       \"      <th>1863</th>\\n\",\n       \"      <th>1864</th>\\n\",\n       \"      <th>1865</th>\\n\",\n       \"      <th>1866</th>\\n\",\n       \"      <th>1867</th>\\n\",\n       \"      <th>1868</th>\\n\",\n       \"      <th>1869</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>discoveries</th>\\n\",\n       \"      <td>5</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>0</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>2</td>\\n\",\n       \"      <td>3</td>\\n\",\n       \"      <td>6</td>\\n\",\n       \"      <td>1</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"time         1860  1861  1862  1863  1864  1865  1866  1867  1868  1869\\n\",\n       \"discoveries     5     3     0     2     0     3     2     3     6     1\"\n      ]\n     },\n     \"execution_count\": 129,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.head(10).T\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 130,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1600x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(16, 4))\\n\",\n    \"df.plot(kind='bar', ax=ax)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch14-discoveries.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 131,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"model = smf.poisson(\\\"discoveries ~ 1\\\", data=df)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 132,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Optimization terminated successfully.\\n\",\n      \"         Current function value: 2.168457\\n\",\n      \"         Iterations 1\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"result = model.fit()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 133,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"                          Poisson Regression Results                          \\n\",\n      \"==============================================================================\\n\",\n      \"Dep. Variable:            discoveries   No. Observations:                  100\\n\",\n      \"Model:                        Poisson   Df Residuals:                       99\\n\",\n      \"Method:                           MLE   Df Model:                            0\\n\",\n      \"Date:                Sun, 03 Nov 2024   Pseudo R-squ.:                   0.000\\n\",\n      \"Time:                        09:18:26   Log-Likelihood:                -216.85\\n\",\n      \"converged:                       True   LL-Null:                       -216.85\\n\",\n      \"Covariance Type:            nonrobust   LLR p-value:                       nan\\n\",\n      \"==============================================================================\\n\",\n      \"                 coef    std err          z      P>|z|      [0.025      0.975]\\n\",\n      \"------------------------------------------------------------------------------\\n\",\n      \"Intercept      1.1314      0.057     19.920      0.000       1.020       1.243\\n\",\n      \"==============================================================================\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"print(result.summary())\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 134,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"lmbda = np.exp(result.params) \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 135,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"X = stats.poisson(lmbda)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 136,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <th>1</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Intercept</th>\\n\",\n       \"      <td>1.020084</td>\\n\",\n       \"      <td>1.242721</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"                  0         1\\n\",\n       \"Intercept  1.020084  1.242721\"\n      ]\n     },\n     \"execution_count\": 136,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"result.conf_int()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 137,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"X_ci_l = stats.poisson(np.exp(result.conf_int().values)[0, 0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 138,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"X_ci_u = stats.poisson(np.exp(result.conf_int().values)[0, 1])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 139,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"v, k = np.histogram(df.values, bins=12, range=(0, 12), density=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 140,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(12, 4))\\n\",\n    \"ax.bar(k[:-1], v, color=\\\"steelblue\\\",  align='center', label='Dicoveries per year') \\n\",\n    \"ax.bar(k-0.125, X_ci_l.pmf(k), color=\\\"red\\\", alpha=0.5, align='center', width=0.25, label='Poisson fit (CI, lower)')\\n\",\n    \"ax.bar(k, X.pmf(k), color=\\\"green\\\",  align='center', width=0.5, label='Poisson fit')\\n\",\n    \"ax.bar(k+0.125, X_ci_u.pmf(k), color=\\\"red\\\",  alpha=0.5, align='center', width=0.25, label='Poisson fit (CI, upper)')\\n\",\n    \"\\n\",\n    \"ax.legend()\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch14-discoveries-per-year.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Time series\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 141,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df = pd.read_csv(\\\"temperature_outdoor_2014.tsv\\\", header=None, delimiter=\\\"\\\\t\\\", names=[\\\"time\\\", \\\"temp\\\"])\\n\",\n    \"df.time = pd.to_datetime(df.time, unit=\\\"s\\\")\\n\",\n    \"df = df.set_index(\\\"time\\\").resample(\\\"H\\\").mean()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 142,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_march = df[df.index.month == 3]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 143,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_april = df[df.index.month == 4]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 144,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"df_march.plot(figsize=(12, 4));\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 145,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x300 with 4 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 4, figsize=(12, 3))\\n\",\n    \"smg.tsa.plot_acf(df_march.temp, lags=72, ax=axes[0])\\n\",\n    \"smg.tsa.plot_acf(df_march.temp.diff().dropna(), lags=72, ax=axes[1])\\n\",\n    \"smg.tsa.plot_acf(df_march.temp.diff().diff().dropna(), lags=72, ax=axes[2])\\n\",\n    \"smg.tsa.plot_acf(df_march.temp.diff().diff().diff().dropna(), lags=72, ax=axes[3])\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch14-timeseries-autocorrelation.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 146,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from statsmodels.tsa import ar_model, arima_model\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 147,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"statsmodels.tsa.ar_model.AR\"\n      ]\n     },\n     \"execution_count\": 147,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sm.tsa.AR\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 148,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"#help(sm.tsa)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 149,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"model = ar_model.AutoReg(df_march.temp, lags=72)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 150,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"#model = sm.tsa.AR(df_march.temp)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 151,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"result = model.fit()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 152,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"1.9985623006352928\"\n      ]\n     },\n     \"execution_count\": 152,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sm.stats.durbin_watson(result.resid)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 153,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(8, 3))\\n\",\n    \"smg.tsa.plot_acf(result.resid, lags=72, ax=ax)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch14-timeseries-resid-acf.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 154,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(12, 4))\\n\",\n    \"ax.plot(df_march.index.values[-72:], df_march.temp.values[-72:], label=\\\"train data\\\")\\n\",\n    \"ax.plot(df_april.index.values[:72], df_april.temp.values[:72], label=\\\"actual outcome\\\")\\n\",\n    \"ax.plot(pd.date_range(\\\"2014-04-01\\\", \\\"2014-04-4\\\", freq=\\\"H\\\").values,\\n\",\n    \"        result.predict(\\\"2014-04-01\\\", \\\"2014-04-4\\\"), label=\\\"predicted outcome\\\")\\n\",\n    \"\\n\",\n    \"ax.legend()\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch14-timeseries-prediction.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 155,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# Using ARMA model on daily average temperatures\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 156,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_march = df_march.resample(\\\"D\\\").mean()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 157,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df_april = df_april.resample(\\\"D\\\").mean()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 158,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import statsmodels.tsa.arima\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 159,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"statsmodels.tsa.arima.model.ARIMA\"\n      ]\n     },\n     \"execution_count\": 159,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"statsmodels.tsa.arima.model.ARIMA \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 160,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"#model = sm.tsa.ARMA(df_march, (4, 1))\\n\",\n    \"model = statsmodels.tsa.arima.model.ARIMA(df_march.temp, order=(4, 0, 1))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 161,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"result = model.fit()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 162,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(12, 4))\\n\",\n    \"ax.plot(df_march.index.values[-7:], df_march.temp.values[-7:], 's-', label=\\\"train data\\\")\\n\",\n    \"ax.plot(df_april.index.values[:7], df_april.temp.values[:7], 's-', label=\\\"actual outcome\\\")\\n\",\n    \"ax.plot(pd.date_range(\\\"2014-04-01\\\", \\\"2014-04-7\\\").values,\\n\",\n    \"        result.predict(\\\"2014-04-01\\\", \\\"2014-04-7\\\"), 's-', label=\\\"predicted outcome\\\")\\n\",\n    \"ax.legend()\\n\",\n    \"fig.tight_layout()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Versions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 163,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%reload_ext version_information\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 164,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/json\": {\n       \"Software versions\": [\n        {\n         \"module\": \"Python\",\n         \"version\": \"3.10.12 64bit [Clang 14.0.6 ]\"\n        },\n        {\n         \"module\": \"IPython\",\n         \"version\": \"8.12.0\"\n        },\n        {\n         \"module\": \"OS\",\n         \"version\": \"macOS 10.15.7 x86_64 i386 64bit\"\n        },\n        {\n         \"module\": \"numpy\",\n         \"version\": \"1.22.3\"\n        },\n        {\n         \"module\": \"matplotlib\",\n         \"version\": \"3.7.1\"\n        },\n        {\n         \"module\": \"pandas\",\n         \"version\": \"2.0.3\"\n        },\n        {\n         \"module\": \"scipy\",\n         \"version\": \"1.7.3\"\n        },\n        {\n         \"module\": \"statsmodels\",\n         \"version\": \"0.14.0\"\n        },\n        {\n         \"module\": \"patsy\",\n         \"version\": \"0.5.3\"\n        }\n       ]\n      },\n      \"text/html\": [\n       \"<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.10.12 64bit [Clang 14.0.6 ]</td></tr><tr><td>IPython</td><td>8.12.0</td></tr><tr><td>OS</td><td>macOS 10.15.7 x86\\\\_64 i386 64bit</td></tr><tr><td>numpy</td><td>1.22.3</td></tr><tr><td>matplotlib</td><td>3.7.1</td></tr><tr><td>pandas</td><td>2.0.3</td></tr><tr><td>scipy</td><td>1.7.3</td></tr><tr><td>statsmodels</td><td>0.14.0</td></tr><tr><td>patsy</td><td>0.5.3</td></tr><tr><td colspan='2'>Sun Nov 03 09:18:38 2024 JST</td></tr></table>\"\n      ],\n      \"text/latex\": [\n       \"\\\\begin{tabular}{|l|l|}\\\\hline\\n\",\n       \"{\\\\bf Software} & {\\\\bf Version} \\\\\\\\ \\\\hline\\\\hline\\n\",\n       \"Python & 3.10.12 64bit [Clang 14.0.6 ] \\\\\\\\ \\\\hline\\n\",\n       \"IPython & 8.12.0 \\\\\\\\ \\\\hline\\n\",\n       \"OS & macOS 10.15.7 x86\\\\_64 i386 64bit \\\\\\\\ \\\\hline\\n\",\n       \"numpy & 1.22.3 \\\\\\\\ \\\\hline\\n\",\n       \"matplotlib & 3.7.1 \\\\\\\\ \\\\hline\\n\",\n       \"pandas & 2.0.3 \\\\\\\\ \\\\hline\\n\",\n       \"scipy & 1.7.3 \\\\\\\\ \\\\hline\\n\",\n       \"statsmodels & 0.14.0 \\\\\\\\ \\\\hline\\n\",\n       \"patsy & 0.5.3 \\\\\\\\ \\\\hline\\n\",\n       \"\\\\hline \\\\multicolumn{2}{|l|}{Sun Nov 03 09:18:38 2024 JST} \\\\\\\\ \\\\hline\\n\",\n       \"\\\\end{tabular}\\n\"\n      ],\n      \"text/plain\": [\n       \"Software versions\\n\",\n       \"Python 3.10.12 64bit [Clang 14.0.6 ]\\n\",\n       \"IPython 8.12.0\\n\",\n       \"OS macOS 10.15.7 x86_64 i386 64bit\\n\",\n       \"numpy 1.22.3\\n\",\n       \"matplotlib 3.7.1\\n\",\n       \"pandas 2.0.3\\n\",\n       \"scipy 1.7.3\\n\",\n       \"statsmodels 0.14.0\\n\",\n       \"patsy 0.5.3\\n\",\n       \"Sun Nov 03 09:18:38 2024 JST\"\n      ]\n     },\n     \"execution_count\": 164,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%version_information numpy, matplotlib, pandas, scipy, statsmodels, patsy\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"npbook_py310\",\n   \"language\": \"python\",\n   \"name\": \"npbook_py310\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "ch15-code-listing.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Chapter 15: Machine learning\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from sklearn import datasets\\n\",\n    \"from sklearn import model_selection\\n\",\n    \"from sklearn import linear_model\\n\",\n    \"from sklearn import metrics\\n\",\n    \"from sklearn import tree\\n\",\n    \"from sklearn import neighbors\\n\",\n    \"\\n\",\n    \"from sklearn import svm\\n\",\n    \"from sklearn import ensemble\\n\",\n    \"from sklearn import cluster\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%matplotlib inline\\n\",\n    \"import matplotlib.pyplot as plt\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import seaborn as sns\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import matplotlib as mpl\\n\",\n    \"mpl.rcParams['mathtext.fontset'] = 'stix'\\n\",\n    \"mpl.rcParams['font.family'] = 'serif'\\n\",\n    \"mpl.rcParams['font.sans-serif'] = 'stix'\\n\",\n    \"\\n\",\n    \"sns.set(style=\\\"whitegrid\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"sns.set(style=\\\"darkgrid\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Built in datasets\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<function sklearn.datasets._base.load_wine(*, return_X_y=False, as_frame=False)>\"\n      ]\n     },\n     \"execution_count\": 7,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"datasets.load_wine #()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<function sklearn.datasets._california_housing.fetch_california_housing(*, data_home=None, download_if_missing=True, return_X_y=False, as_frame=False)>\"\n      ]\n     },\n     \"execution_count\": 8,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"datasets.fetch_california_housing\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<function sklearn.datasets._samples_generator.make_regression(n_samples=100, n_features=100, *, n_informative=10, n_targets=1, bias=0.0, effective_rank=None, tail_strength=0.5, noise=0.0, shuffle=True, coef=False, random_state=None)>\"\n      ]\n     },\n     \"execution_count\": 9,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"datasets.make_regression\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Regression\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"np.random.seed(123)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"X_all, y_all = datasets.make_regression(n_samples=50, n_features=50, n_informative=10) #, noise=2.5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"X_train, X_test, y_train, y_test = model_selection.train_test_split(X_all, y_all, train_size=0.5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"((25, 50), (25,))\"\n      ]\n     },\n     \"execution_count\": 13,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"X_train.shape, y_train.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"((25, 50), (25,))\"\n      ]\n     },\n     \"execution_count\": 14,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"X_test.shape, y_test.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"model = linear_model.LinearRegression()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<style>#sk-container-id-1 {color: black;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \\\"▸\\\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \\\"▾\\\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \\\"\\\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \\\"\\\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \\\"\\\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\\\"sk-container-id-1\\\" class=\\\"sk-top-container\\\"><div class=\\\"sk-text-repr-fallback\\\"><pre>LinearRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\\\"sk-container\\\" hidden><div class=\\\"sk-item\\\"><div class=\\\"sk-estimator sk-toggleable\\\"><input class=\\\"sk-toggleable__control sk-hidden--visually\\\" id=\\\"sk-estimator-id-1\\\" type=\\\"checkbox\\\" checked><label for=\\\"sk-estimator-id-1\\\" class=\\\"sk-toggleable__label sk-toggleable__label-arrow\\\">LinearRegression</label><div class=\\\"sk-toggleable__content\\\"><pre>LinearRegression()</pre></div></div></div></div></div>\"\n      ],\n      \"text/plain\": [\n       \"LinearRegression()\"\n      ]\n     },\n     \"execution_count\": 16,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"model.fit(X_train, y_train)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def sse(resid):\\n\",\n    \"    return sum(resid**2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"5.8411047954908775e-25\"\n      ]\n     },\n     \"execution_count\": 18,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"resid_train = y_train - model.predict(X_train)\\n\",\n    \"sse_train = sse(resid_train)\\n\",\n    \"sse_train\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"5.8411047954908775e-25\"\n      ]\n     },\n     \"execution_count\": 19,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"resid_test = y_test - model.predict(X_test)\\n\",\n    \"sse_test = sse(resid_train)\\n\",\n    \"sse_test\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"1.0\"\n      ]\n     },\n     \"execution_count\": 20,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"model.score(X_train, y_train)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.314074006752018\"\n      ]\n     },\n     \"execution_count\": 21,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"model.score(X_test, y_test)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def plot_residuals_and_coeff(resid_train, resid_test, coeff):\\n\",\n    \"    fig, axes = plt.subplots(1, 3, figsize=(12, 3))\\n\",\n    \"    axes[0].bar(np.arange(len(resid_train)), resid_train)\\n\",\n    \"    axes[0].set_xlabel(\\\"sample number\\\")\\n\",\n    \"    axes[0].set_ylabel(\\\"residual\\\")\\n\",\n    \"    axes[0].set_title(\\\"training data\\\")\\n\",\n    \"    axes[1].bar(np.arange(len(resid_test)), resid_test)\\n\",\n    \"    axes[1].set_xlabel(\\\"sample number\\\")\\n\",\n    \"    axes[1].set_ylabel(\\\"residual\\\")\\n\",\n    \"    axes[1].set_title(\\\"testing data\\\")\\n\",\n    \"    axes[2].bar(np.arange(len(coeff)), coeff)\\n\",\n    \"    axes[2].set_xlabel(\\\"coefficient number\\\")\\n\",\n    \"    axes[2].set_ylabel(\\\"coefficient\\\")\\n\",\n    \"    fig.tight_layout()\\n\",\n    \"    return fig, axes\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAABJ8AAAEcCAYAAABpkRWgAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABsrklEQVR4nO3dd1gU1/4/8PfuIk1ASiiKemMDYgEbirFjiPnFNEtijBCxG1FjQ1FyLbERQYyoxAJGY4klGk28msSYxBSxwI3GehMbsSGKICh9d35/+N0NC8uyu+yy7f16Hh7YmdmZz9lZzpn5zJwzIkEQBBARERERERERERmA2NgBEBERERERERGR5WLyiYiIiIiIiIiIDIbJJyIiIiIiIiIiMhgmn4iIiIiIiIiIyGCYfCIiIiIiIiIiIoNh8omIiIiIiIiIiAyGySciIiIiIiIiIjIYJp+IiIiIiIiIiMhgmHwisyQIgrFDMEv83IiInjJUfWgp9ayllIOIiIhMA5NPZHaOHj2K2bNn62Vd+/btg7+/P27dumXQ9+ibv78/Vq9erdV79Pm5ERGZM0PVhxkZGRg/frzi9a1bt+Dv7499+/bpfVuaioiIQEREhFbvuXLlCoYNG2agiIiIiMga2Rg7ACJtbd68WW/r6tOnD3bt2gUvLy+DvscU6PNzIyIyZ4aqD/fs2YMrV64oXnt5eWHXrl1o2rSpQbZnKIcPH8bvv/9u7DCIiIjIgjD5RFbN3d0d7u7uBn8PERFZH1tbW7Rv397YYRAREREZHbvdkVmJiIjAqVOncOrUKfj7++PkyZM4efIk/P39sXPnTvTt2xfPP/88fv31VwBPr0IPGjQI7du3R2BgIF5//XUcOnRIsb7KXehiYmIQGRmJvXv3on///mjbti1ee+01HDt2rFbvAYDff/8dw4cPR/v27dGnTx9s2bIFkZGRiImJUVvmU6dOYejQoQgKCkL//v1x/PjxKsvcunULs2bNQo8ePdCmTRt069YNs2bNQm5ubrWfGwBcvnwZkyZNQkhICNq0aYOePXti8eLFKC4u1nbXEBGZherqw7y8PMybNw/PP/882rVrh7feegtpaWlK7z1+/DiGDh2KDh06IDg4GBMnTsS1a9cAPG0LvvzyS9y+fVvR1a5yt7t9+/ahdevWOHv2LIYOHYp27dqhT58+2Lhxo9J2srOzMW3aNHTp0gXBwcGYN28eVq5cidDQULVlu3PnDiZNmoROnTqhe/fu+PTTT6ssU1xcjBUrVuDFF19E27Zt0bFjR4wcORKXLl0CAKxevRpr1qwBoNzF++HDh1i4cCH69u2Ltm3bokuXLoiKijJqF3QiIiIyH7zziczK/PnzER0drfi7ZcuWuHDhAgBg5cqVWLhwIUpKStC+fXts374dixcvxqRJkzB79mzk5eVh48aNiI6ORvv27dGoUSOV2zh//jyys7MxZcoUODk5YdWqVZgyZQp+/vlnNGjQQKf3XL16FZGRkWjbti0SExORm5uLxMRE5OfnY8CAAdWW98KFCxg1ahS6du2KVatW4c6dO5g+fbrSMkVFRXj33Xfh5uaG+fPnw9nZGRkZGVi7di3s7OywaNEilZ9bdna2IhkWFxcHW1tb/PTTT9iyZQueeeYZTJgwQev9Q0Rk6lTVhyUlJRgxYgQePHiAadOmwcvLC3v37sWYMWOQkpKCbt264ebNm3jvvfcwePBgTJs2DY8ePcLKlSsxbtw4fPfdd5g4cSIePnyIixcvYs2aNWjatCkKCwurbF8mk2Hq1KmIjIzE1KlT8cUXXyAhIQEBAQHo2bMnSktLMWLECBQWFmLu3LlwcnLChg0bcOnSJXh6elZbrsLCQoSHh0MsFuPDDz+EjY0NVq1ahb///hsdOnRQLDdr1iycPn0aM2bMQNOmTXHjxg2sWrUK06ZNw+HDh/Hmm28iKysLX3zxBXbt2gUfHx8IgoDx48fj0aNHmDFjBjw9PXHp0iWsWrUK8+bNw6ZNm/S/o4iIiMiiMPn0f5KTk5GWloatW7cabBuxsbGQSqWIi4tTmr5161Zs3boVd+/eRdOmTTFy5EgMGTLEYHGYs5YtW8LJyQkAqnRlePvtt/HSSy8pXt+8eROjRo1CVFSUYlrjxo0xaNAg/Pe//602+VRQUIB9+/YpxuhwdHREeHg4Tpw4gf79++v0nvXr18PJyQkpKSlwcHAAADRv3hxvv/222vKuX78e7u7u+OSTT2BrawsAcHV1xbRp0xTL3LhxAz4+PoiLi1NsPyQkBOfOncOpU6eq/dzOnDmD5557DqtWrVLMe/7555GWlobTp08z+UREFklVfbh7925cvnwZu3fvRlBQEACgV69eiIiIQEJCAvbu3Ys//vgDxcXFGD9+PLy9vQEADRs2xNGjR1FYWIimTZvC3d1dqaudquSTIAiYOHEi3nzzTQBAp06dcOTIEfz000/o2bMnvvrqK1y7dg179+5F27ZtATyt01944QW15fryyy9x584dHDhwAP7+/gCAwMBAhIWFKZYpLS3FkydP8O9//xsvv/wyAKBLly548uQJ4uLicP/+ffj4+MDHx0fp87l37x4cHBwwe/ZsdO7cGQDQtWtX3Lp1Czt37tT8wyciIiKrxeQTng48mpSUhODgYIOsXyqVIiEhAV988QUGDhyoNO/zzz/HihUrsHTpUrRr1w5paWmYN28eGjRooHTASDWTH2zLybuzFRQU4MaNG7hx44aiC0VZWVm163F3d1caHFZ+EF5UVKTze06cOIHevXsrEk8A0KFDB/j6+qotU0ZGBvr06aNIPAHAiy++CIlEonj93HPPYceOHZDJZLh58yZu3LiBv/76C9euXUN5eXm16+7Rowd69OiBsrIyXL9+HTdu3MD//vc/PHz4EK6urmrjIiKyJGlpafD09ESbNm2U6s2+ffti+fLlePToEYKCgmBnZ4chQ4bg5ZdfRu/evdG5c2cEBgZqvb2KdyLZ2trC3d1dkag6ceIEmjRpokg8AYCTkxP69u2r6CKoSnp6Opo0aaLUFjZs2FDpQo2trS1SU1MBPO3al5mZiWvXruHHH38EUH3b6O3tjc8++wzA0659mZmZuHr1Kv773/+qbU+JiIiI5Kw6+XTv3j3ExsYiIyMDzZo1M8g2rl69ijlz5uDmzZsq77QpKCjA9OnTFVcgmzRpgh07duD48eNMPmnJw8ND6fXff/+NefPm4cSJE7CxsUHz5s0VB+WCIFS7nooJIgAQiUQAnnaV0PU9Dx8+rBIfALVdKADg0aNHVQY3t7GxgZubm9K0Tz/9FOvXr0dubi6eeeYZtGnTBg4ODigoKKh23TKZDImJidi+fTsKCwvRsGFDBAYGws7OTm1MRESWJi8vD/fv30ebNm1Uzr9//z5atmyJbdu2YcOGDdi9ezc2b94MFxcXvPPOO3j//fchFms+jKa9vb3Sa7FYrGiXcnNzVbYXzzzzjNp1qmovgKftzIMHDxSvf/nlFyxduhTXrl1D/fr14e/vj/r16wNQ3zZ+9dVXSExMxN27d+Hq6oqAgIAq5SAiIiKqjlUnny5cuIAGDRrgq6++wtq1a3H79m2l+T/++CNWr16NK1euwNvbGwMGDMDEiROV7kKpyalTp/Dcc8/hk08+wdSpU6vMHzdunOLvsrIyfPPNN7hy5QomTZqkc7noaWJl3LhxqFevHnbv3o3WrVvDxsYGV65cwVdffVXn8fj4+CAnJ6fK9JycHLWJT1dXV6WTBuDpycGjR48Ur7/++mvExcVhxowZGDJkiOLk4/3338e5c+eqXfeGDRuwefNmLFiwAP3794ezszMAsMsnEVkdZ2dnPPvss0hISFA5v3HjxgCedmNbs2YNSktLkZGRgV27dmHdunXw9/dXXESqLW9vb2RmZlaZrqoNqcjNzU3l+/Ly8hR///3334iKikK/fv2wfv16xR2727dvxy+//FLtutPT0zF79myEh4dj9OjRirt7ly9fjoyMDE2KRURERFbOqp92FxoaihUrVqBJkyZV5v388894//338eabb+LgwYOYP38+Dh8+rBikVFPDhg3DwoULVV7FrCg9PR2BgYGYOXMmXnvtNfTr10+r7VgTTa4u5+bm4vr16xgyZAgCAwNhY/M0z/rzzz8DUH8XkyEEBwfj559/RklJiWLapUuXanxKULdu3fDzzz8rdfn75ZdflLo5ZGRkwNnZGePGjVMknp48eYKMjAylclb+3DIyMtCyZUsMGTJEkXi6d+8e/vzzzzr/fIiI6lLl+rBLly64e/cuPDw80K5dO8VPWloaUlJSIJFIsHnzZoSGhqK0tBS2trbo1q0bFi1aBAC4e/euyvXqokuXLrh586bi6XMAUFJSomi/qhMSEoJbt24pXXR4+PAhzpw5o3h9/vx5lJSUYPz48UpdxeWJJ/mdT5XL8fvvv0Mmk2HKlCmKxJNUKlU8fZVtBhEREdXEqpNP6qxbtw5DhgzBsGHD0LRpU/To0QMLFy7EN998g1u3biken1zdz/3797XaXrNmzfDll19iyZIl+Oabb6q9+kqAi4sLrl+/jrS0NKU7gCry8PCAr68vtm/fjm+//RZpaWmIj49HYmIiAPXjNxnChAkTUFBQgDFjxuDHH3/EgQMHEBUVBZFIpOiip0pUVBQKCwsxevRo/PDDD9i7dy/mzp2LevXqKZYJDAxEQUEB4uLicPLkSXz99dcYPnw4Hjx4oFTOyp9bYGAg/ve//2HDhg04deoU9uzZg+HDh6O0tLTOPx8iorpUuT4cNGgQGjVqhJEjR+LLL7/EiRMnkJiYiJUrV8LLywv16tVDSEgIsrOzERUVhWPHjuHXX3/FnDlzYGtri759+yrW++DBAxw7dgzZ2dk6xfbKK6+gRYsWiIqKwoEDB/Djjz9izJgxyMnJUdtevP766/Dz88OkSZOwf/9+fP/99xg7dqxSYqhNmzawsbFBfHw8fvvtN/z444+YPHkyfvrpJwD/DJDu4uICADh48CBu3rypGNfqww8/xIkTJ/Ddd99h5MiRuHz5stL7iIiIiKrD5FM1Ll68iN27d6NDhw6KH/nTv65evQpvb28cOnSo2h9V4y6o4+HhgYCAAAwZMgQTJkzAZ599htLSUkMUzewNHz4c9erVw9ixY9VeCU5OToa3tzdiYmIwdepUnDlzBp988gmaN2+O9PT0OowY+Ne//oXU1FSUlJRgypQpWLlyJcaOHQtPT0/FWBuqPPvss9i2bRskEgmmTZuGtWvXYvbs2WjQoIFimYEDByIqKgqHDx/G2LFjkZSUhM6dO+PDDz9EXl4erly5AqDq5zZ+/HgMGzYMn332GcaOHYvU1FS8/vrrmDRpEv76669qE3tEROaucn3o6OiI7du3o1OnToiPj8fYsWPx3XffYcaMGZgzZw4AICAgAOvWrcPjx48xffp0TJo0CXl5edi0aROaN28OABg0aBB8fX0RFRWF/fv36xSbjY0NUlNT0bp1ayxYsACzZs2Cn58fwsLC4OjoWO37bG1tsWXLFgQHB2PJkiWYO3cuunXrpkiMAU/bohUrVuDevXt47733MG/ePABPn7orEokUbeOLL76Idu3aISYmBqmpqejatSvmzZuH33//HWPHjsWyZcvQqFEjrFmzBgDY9Y6IiIhqJBLUjS5pRWJiYnD79m1s3boVwNO7SUaNGlXl6XTA08E71R0AViciIgK+vr6Ii4tTTDt27BgaN26MFi1aKKb99NNPGD9+PH755Rd4eXnpUBoyNWlpaahXr57iEdXA08Fhu3fvjlmzZuHdd981YnRERGQq5E8rffHFF5XudBo8eDAaNmyoSPgQERERmROrHnBcnVatWuHatWv417/+pZh26tQpbNmyBQsWLNAp+aRKYmIi/P39sXz5csW0s2fPwtXVtcYn25D5uHDhApKSkjB9+nS0adMGubm52LRpE5ydnfHKK68YOzwiIjIRhYWFeP/99/HOO+8gLCwMUqkUBw8exIULF7Qed5KIiIjIVDD5VI2xY8di6tSpWL16NV555RVkZWXhgw8+QKNGjeDp6am37YwbNw4zZ85EUFAQevTogRMnTiA1NRWzZs3Sy8ClZBpGjRqF0tJSfP7557h79y4cHR3RpUsXfPTRR1p30SQiIssVFBSEjz/+GKmpqdi/fz8EQUDr1q2RkpKCkJAQY4dHREREpBN2u/s/lbvdAcDhw4exfv16XLlyBQ0aNEDfvn0RHR2tNN6ONlR1uwOAAwcOYOPGjcjMzESjRo0wZswYvPnmm7UqDxERERERERGRKWDyiYiIiIiIiIiIDIb9uoiIiIiIiIiIyGCYfCIiIiIiIiIiIoNh8omIiIiIiIiIiAzGKp92JwgCZDL9DHUlFov0ti5TZQ1lBKyjnNZQRsA6yqmujGKxCCKRqI4jsg5sP7RjDWUErKOc1lBGwDrKWV0Z2XYYjj7aDmv+bloSaygjYB3lZBmVl9Ok/bDK5JNMJuDhwye1Xo+NjRhubvWRn1+I8nKZHiIzPdZQRsA6ymkNZQSso5w1ldHdvT4kEp5AGALbD81ZQxkB6yinNZQRsI5yqisj2w7DqW3bYe3fTUthDWUErKOcLKMyTdsPdrsjIiIiIiIiIiKDYfKJiIiIiIiIiIgMhsknIiIySXl5eZg3bx569eqFjh07YtiwYUhPT1fMv3TpEsLDw9G+fXv06dMHqampSu+XyWRISkpCz549ERQUhFGjRiEzM7Oui0FEREREZPWYfCIiIpM0ffp0nD17FomJifjiiy/Qpk0bjB49GlevXkVubi5GjhyJZ599Fnv37sXkyZOxatUq7N27V/H+5ORk7Ny5E4sXL8auXbsgEokwduxYlJaWGrFURERERETWxyoHHCciItOWmZmJ3377DZ9//jk6duwIAIiNjcXPP/+MgwcPwt7eHra2tliwYAFsbGzQokULZGZmYuPGjRg8eDBKS0uxadMmREdHo3fv3gCAlStXomfPnjhy5AgGDBhgzOIREREREVkV3vlEREQmx83NDRs2bEDbtm0V00QiEQRBwKNHj5Ceno7g4GDY2PxzDSUkJATXr19HTk4OLl++jCdPniAkJEQx38XFBa1bt8bp06frtCxERERERNaOySciDYjFItjYiNX+iMV8PDGRvri4uKB3796wtbVVTDt8+DD+/vtv9OjRA1lZWfDx8VF6j5eXFwDgzp07yMrKAgA0bNiwyjJ37941cPRkySq3BxLJ00MpiYTtARGZl8r1GesuIjIkdrsjqoFYLIKrq6PiBKM6UqkMeXmFkMmEOoqMyHpkZGRg7ty56NevH0JDQ7Fs2TKlxBQA2NnZAQBKSkpQVFQEACqXefToUa1isbGp/XWbigkLS2WJZRSJRHB2tldZJhcXB8XfUqkMBQXFEATLaA8scV+qYg3ltIYykmZUHd/yWJaIDInJJ6IaiMUiSCRiJGzPwK17BSqXaeztjJnDO0EsFrHBJtKz77//HjNnzkRQUBASExMBAPb29lUGDi8pKQEAODo6wt7eHgBQWlqq+Fu+jIODA3QlFovg5lZf5/dXVjFhYakssYyatAeuro51HJXhWeK+VMUaymkNZST1Kh/f8liWiAyNySciDd26V4Crt2t3xwQRaWfbtm1YsmQJwsLCkJCQoLiTycfHB9nZ2UrLyl97e3ujvLxcMa1p06ZKywQEBOgcj0wmID+/UOf3y0kkYri4OCA/vwhSqazW6zNFllhGeZk0aQ8ssdyWVCZVrKGc6sro4uLAO6KsEI9viaiuMPlEVkksFin1a6/uNnRe+SEynh07dmDRokWIiIjA3LlzIRb/8/8ZHByMnTt3QiqVQiKRAADS0tLQrFkzeHh4wNnZGU5OTjh58qQi+ZSfn4+LFy8iPDy8VnGVl+vvpFQqlel1fabIGsqoiiWW2xLLpIo1lNMaykhERKaFySeyOurGcKp8G7p83A4iqlvXr1/H0qVLERYWhvHjxyMnJ0cxz97eHoMHD0ZKSgpiY2MxZswY/PHHH9iyZQsWLlwI4OlYT+Hh4UhISIC7uzt8fX0RHx8PHx8fhIWFGatYRERERERWicknsjqajOEEKI/jRER169tvv0VZWRmOHDmCI0eOKM0bOHAg4uLikJKSgiVLlmDgwIHw9PTErFmzMHDgQMVyU6ZMQXl5OT744AMUFxcjODgYqampVQYhJyIiIiIiw2LyiawW+7gTma4JEyZgwoQJapcJDAzErl27qp0vkUgQHR2N6OhofYdHRERERERa4KiCRERERERERERkMEw+ERERERERERGRwTD5REREREREREREBsPkExERERERERERGQyTT0REREREREREZDBMPhERERERERERkcEw+URERERERERERAbD5BMRERERERERERkMk09ERERERERERGQwTD4REREREREREZHB2Bg7ACIiIrIMYrEIYrEIACCRiJV+y8lkAmQyoc5jIyIiIiLjYfKJiIiIak0sFsHV1bFKssnFxUHptVQqQ15eIRNQRERERFaEySciIiKqNbFYBIlEjITtGbh1r0DlMo29nTFzeCeIxSImn4jIaHJychAXF4dffvkFJSUlCA4OxqxZs9CyZUsAwKVLl7BkyRKcP38erq6uiIiIwOjRo40cNRGReWPyiYiIiPTm1r0CXL39yNhhEBFV67333oNYLMbGjRvh6OiIVatWITIyEkeOHEFxcTFGjhyJF154AQsXLsSZM2ewcOFCuLq6YvDgwcYOnYjIbDH5REREREREViE3NxeNGzfGe++9h1atWgEAJk6ciNdffx1//fUX0tLSYGtriwULFsDGxgYtWrRAZmYmNm7cyOQTEVEtmMXT7vLy8jBv3jz06tULHTt2xLBhw5Cenm7ssIiIiIiIyIy4ubkhMTFRkXh68OABUlNT4ePjg5YtWyI9PR3BwcGwsfnnGn1ISAiuX7+OnJwcY4VNpDdisQg2NmLFj/xBIUSGZhZ3Pk2fPh05OTlITEyEu7s7duzYgdGjR2Pfvn1o0aKFscMjIiIiIiIz8+9//xu7d++Gra0tPvnkEzg6OiIrKwt+fn5Ky3l5eQEA7ty5Aw8PD2OESqQXqh4OwgeBUF0x+eRTZmYmfvvtN3z++efo2LEjACA2NhY///wzDh48iPfff9/IERIRERERkbkZMWIEhg4dis8//xxRUVHYsWMHiouLYWtrq7ScnZ0dAKCkpETnbdnY6N7hRJ4oqPw00dqobl363IY2DFFGU2MKZZRIxEoPB5E/CKRePQmkUpnetlHxtyViGXVj8sknNzc3bNiwAW3btlVME4lEEAQBjx5xQFMiIiIiItKe/Ol2ixYtwpkzZ7Bt2zbY29ujtLRUaTl50snR0VGn7YjFIri51a9dsABcXBxqvQ5T2IYpb78umEIZKz8cxBAxmUI5DY1l1I7JJ59cXFzQu3dvpWmHDx/G33//jR49eui83tpcfZBjxtM8aVsWbfpBm/LnZIn7UhVrKKc1lJGIiMgQcnJykJaWhv/3//4fJBIJAEAsFqNFixbIzs6Gj48PsrOzld4jf+3t7a3TNmUyAfn5hTrHLJGI4eLigPz8Ir3enaLqpFKf29AlHmNtvy6YQhnrYr+bQjkNjWVU5uLioNF5icknnyrLyMjA3Llz0a9fP4SGhuq0Dn1dfZBjxtOyOTnZa7ysOXxO5hCjPlhDOa2hjERERPqUnZ2NGTNmwMPDA926dQMAlJWV4eLFiwgNDcUzzzyDnTt3QiqVKpJTaWlpaNasWa3Geyovr/0JqlQq08t6jL0NU95+XTDFMhoiJlMsp76xjNoxq+TT999/j5kzZyIoKAiJiYk6r6e2Vx/kmPE0T9Vl/Kvz+HGxxgkoU/6cLHFfqmIN5aypjJpefSAiIrI2AQEB6NGjBxYuXIjFixfDxcUF69atQ35+PiIjI2FnZ4eUlBTExsZizJgx+OOPP7BlyxYsXLjQ2KETEZk1s0k+bdu2DUuWLEFYWBgSEhKqDASoLX1mKJnxtGzaPPnBHD4nc4hRH6yhnNZQRiIiIn0SiUT4+OOPsWLFCkydOhUFBQXo3Lkztm/fjkaNGgEAUlJSsGTJEgwcOBCenp6YNWsWBg4caOTIiYjMm1kkn3bs2IFFixYhIiICc+fOhVjMK/pERERERKQ9Z2dnLFiwAAsWLFA5PzAwELt27arboIiILJzJJ5+uX7+OpUuXIiwsDOPHj0dOTo5inr29PZydnY0YHRERERERERERqWPyyadvv/0WZWVlOHLkCI4cOaI0b+DAgYiLizNSZEREREREREREVBOTTz5NmDABEyZMMHYYRERERERERESkAw6eREREREREREREBmPydz4RERERUe2IxSKIxSK1y8hkglZPeCUiIiLSFJNPRGRyeJJERKQ/YrEIrq6OkEjU3/AulcqQl1fIupWIiIj0jsknIjIpPEkiItIvsVgEiUSMhO0ZuHWvQOUyjb2dMXN4J4jFItarREREpHdMPhGRSeFJEhGRYdy6V4Crtx8ZOwwiIiKyQkw+EZFJMtRJErv0ERHpF+vV2tHk8wP4GRIRkXlj8omIrAa79BER6Rfr1drR9PMD+BkSEZF5Y/KJiKwGu/SRJeJdJ2RMrFdrR5PPD+BnSERE5o/JJyKyOhz3hCwF7zohU8F6tXb4+ZE1kydhASh+86IJkeVh8omIiMhM8a4TIiIyZ5Uvori4OADgRRMiS8TkExERkZnjXRNERGSOVF1E4UUTIsvE5JMV4FNUrFfFfV/5dmY5Xfc7x5khIiIiIn3gRRQiy8fkk4XjU1SsV3X7Xn47s5wu+53jzBAREREREZGmmHyycHyKivUy5FgwHGeGiIiIiIiINMXkk5XgrazWy5D7nt8rIiIiIiIiqgmTT0REREREREQqqBrnlOOaEmmPySeqFQ5mTkRERERElqi6cU45rimR9ph8Ip1xMHMiIiIiIrJUqsY55bimRLph8ol0xsHMiYiIiIjI0nGcU6LaY/KJao2VMRERERGZi7y8PCQmJuKnn37C48eP4e/vjxkzZqBz584AgEuXLmHJkiU4f/48XF1dERERgdGjRxs5aiIi81ZzfykiMiixWAQbG7HaH03G1SKyZMnJyYiIiFCadunSJYSHh6N9+/bo06cPUlNTlebLZDIkJSWhZ8+eCAoKwqhRo5CZmVmXYRMRUQ1Onz6NJ0+eqJyXn5+P//znP3rf5vTp03H27FkkJibiiy++QJs2bTB69GhcvXoVubm5GDlyJJ599lns3bsXkydPxqpVq7B37169x0FEZE2YfCIyIvm4WW5u9dX+uLo6MgFFVmvz5s1ISkpSmqbJyUFycjJ27tyJxYsXY9euXRCJRBg7dixKS0vrughERFSNd999F1evXlU57+LFi5gzZ45et5eZmYnffvsN8+fPR+fOndG8eXPExsbC29sbBw8exO7du2Fra4sFCxagRYsWGDx4MCIjI7Fx40a9xkFEZG3Y7Y7IiDQZN4tjZpG1unfvHmJjY5GRkYFmzZopzat4cmBjY4MWLVogMzMTGzduxODBg1FaWopNmzYhOjoavXv3BgCsXLkSPXv2xJEjRzBgwABjFImIiADMnj0bd+/eBQAIgoAFCxbAycmpynI3btzAM888o9dtu7m5YcOGDWjbtq1imkgkgiAIePToEc6fP4/g4GDY2PxzmhQSEoL169cjJycHHh4eeo2HiMhaMPlEZAI4bhZRVRcuXECDBg3w1VdfYe3atbh9+7ZiXnp6utqTg9u3b+PJkycICQlRzHdxcUHr1q1x+vRpJp+IiIyof//++PTTT5WmCYLyBTaJRIL27dtj+PDhet22i4uL4qKE3OHDh/H333+jR48eWLlyJfz8/JTme3l5AQDu3Lmjc/LJxkb3DifyJ0tr8oRpbdep6XRDUbe9uo5F2xi0jc8Q+1FbdbHfTaGchsYy6obJJyIiMkmhoaEIDQ1VOS8rK0vtyUFWVhYAoGHDhlWWkV9tJyIyR2KxqMau+DKZYNJ3S1es3yMiIhRd3IwhIyMDc+fORb9+/RAaGoply5bB1tZWaRk7OzsAQElJiU7bEItFcHOrX+tYXVwcar0OU9iGpkwpFlV0jc8Uy2WImEyxnPrGMmqHySciIjI7xcXFak8OioqKAEDlMo8e1e4uw9pcvZbT19Ukbd5v6KtzphSLoZhrGWsbt7rvq7l+JqoY40q2ttuysZHA0dG2xvdJpTIUFBSruJvI9K7Wb9261Wjb/v777zFz5kwEBQUhMTERAGBvb19lbEB50snR0VGn7chkAvLzC3WOUyIRw8XFAfn5RZBKZTqvR9U6K9PnNmoThzFiUUWf8RliP2qrLva7KZTT0GpbRpFI+SKCTCZUqa+NTZsyurg4aNSuMPlERERmp6aTA3t7ewBAaWmp4m/5Mg4Oul/B0dfVa7m6vGJmSlfnTCkWQzHXMqqLu7ZlMpfPxJTjdHZ+Wp9pMlakq2v1iRJTKmNRURHWrVuHH3/8EUVFRZDJlE9yRCIRvv/+e71vd9u2bViyZAnCwsKQkJCguFjh4+OD7OxspWXlr729vXXeXnl57U/CpVKZXtZj7G1oypRiUUXX+EyxXIaIyRTLqW+6lPHpA6eUkzVSqQx5eYUmeceqPvcjk09ERGR2ajo5KC8vV0xr2rSp0jIBAQE6b7e2V6/l9HVVUN0V2coMfQXSlGIxFHMtY23jVvd9NeRnIhKJ4Oxsr/NdPtoyxtV6bT4/AHj8uBhOTvYajRWp7b7U9Mq1vi1ZsgR79+5Fly5d8Nxzz0EsNnwMO3bswKJFixAREYG5c+cqbTM4OBg7d+6EVCqFRCIBAKSlpaFZs2YcbJyIaq3yA6es6eFSTD4REZHZqenkwNnZGU5OTjh58qQi+ZSfn4+LFy8iPDy8VtvW51W8urwqaEpXIE0pFkMx1zKqi7u2ZdL2/TY2Yo2fCCsIgt4+b1Ped9qcmBhyX+rTd999h2nTpmHcuHF1sr3r169j6dKlCAsLw/jx45GTk6OYZ29vj8GDByMlJQWxsbEYM2YM/vjjD2zZsgULFy6sk/ioblQeO83Ux0kjy2OND5xi8omIiMxOTScHtra2CA8PR0JCAtzd3eHr64v4+Hj4+PggLCzMyNETkTas8QDdmpSXlyMwMLDOtvftt9+irKwMR44cwZEjR5TmDRw4EHFxcUhJScGSJUswcOBAeHp6YtasWRg4cGCdxUiG9bTbk6PZdHsishQaJ5/WrFmj8UpFIhGioqJ0CoiIiEyHqdb9Hh4eNZ4cTJkyBeXl5fjggw9QXFyM4OBgpKamVhmEnEyfJk/3Anjlmsgc9ejRAz///DNCQkLqZHsTJkzAhAkT1C4TGBiIXbt21Uk8VPesudsTkTEx+URERNUylbo/Li6uyrSaTg4kEgmio6MRHR1tkJiobqi6Ql0dXrkmMj8vv/wy5s+fj4cPHyIoKEjlQyHeeOONug+MLB7vqiSqWxonny5fvmzIOIiIyASx7idjq3yFujq8ck1knqZOnQoA2L9/P/bv319lvkgkYvKJiMgCGGTMp4KCAjg7Oxti1UREZKJY95Mh8Qo1kWU6evSosUMgIqI6oFPyqbS0FJs3b8apU6dQVlameLStIAgoLCzElStXcPbsWb0GSkSkSuWxYORdcyp20eE4MPrBup+IiPTN19dX6XVJSQlsbW0hEtU8zhsREZkPnZJPy5cvx7Zt2+Dn54eHDx/Czs4O7u7u+PPPP1FWVoZJkybpO04ioipEIhFcXR1UjgXj4vLPmBHycWCodlj3ExGRIVy7dg1JSUk4fvw4Hj9+jD179mDPnj1o0aIFIiIijB0eERHpgU7Jp++++w6RkZGIiYnB+vXrcfHiRaxatQr37t1DeHg4ZDKZvuMkIqpCk7FgKo4DQ7XDup+IiPTt0qVLGD58ODw8PPDqq69ix44dAIB69eph6dKlcHJyUnqSKRERmaeaHx2jwsOHD9G7d28AgL+/P86dOwcA8Pb2xrhx43Do0CH9RUhEVAP5WDCqftQNUEzaYd1PRET69tFHH6Ft27Y4fPgw5syZo+jSHRsbiyFDhuCzzz4zcoRERKQPOiWfnJ2dUVpaCgB49tlncffuXTx+/FjpNWlHLBbBxkZc4w/v3iAiY2HdT0RE+nbmzBlERkbCxsamyjhPL7/8Mm7cuGGcwIiISK90Sj517twZW7duRWFhIRo3bgwHBwccOXIEAPD777/DyclJr0FaOrFYBFdXR7i51a/xx9XVkQkoIjIK1v1ERKRvdnZ2KC4uVjkvLy8Ptra2dRwREREZgk5jPk2aNAnDhw/H+PHjsXXrVrzzzjuYN28etm7div/9738YNmyYvuO0aJqMWwMoj13DJ3cRUV1j3U9ERPrWvXt3JCUloWPHjvD09ATw9IEiT548waZNm/D8888bOUIiItIHnZJP/v7+OHz4MP78808AwIwZM+Dk5IT//ve/CA0Nxbhx4/QapLWQj1tDRGSKWPcTEZG+RUdHY+jQoXjppZcQEBAAkUiEuLg4XL9+HYIgIDEx0dghEhGRHuiUfAIAT09PpasTEyZM0FtQRERkmlj3ExGRPjVs2BAHDhzA5s2bceLECTRt2hSFhYV45ZVXMHLkSHh5eRk7RCIinYjFoipD5lQe286a6JR82r9/f43LvPHGG7qsmoiITBTrfiIiMgQ3NzdMmzbN2GEQEemNfFxniUR5mG2pVGakiIxPp+RTTEyMyukikQgSiQQSiYQnIEREFoZ1PxER6cP+/fvRu3dvuLm58cIGEVkkVeM6y8dwtlY6JZ+OHj1aZVphYSEyMjKwYcMGrF27ttaBERGRaWHdT0RE+hATE4Pdu3fDzc2t2gsbciKRiMknIjJbHNf5Hzoln3x9fVVOb9WqFcrKyrBo0SLs2LGjVoEREZFpYd1P+qRqHITK+GRXIst09OhRxfiBqi5sEBGR5RHXvIh2/Pz8cOHCBX2vlojIoojFItjYiNX+1HRibkpY95M2RKKn4yC4udVX++Pq6mjVA3MSWSpfX1/Y2toq/q5fvz7++usv+Pr6wtfXFzKZDEePHoWzs3O1Fz6IiMi86Py0O1VKS0uxe/dueHh46HO1REQWpboBCCuTSmXIyys0+bs/WPeTtlSNg1CZfFwEc0rCEpH2rly5gsjISNja2qJPnz4AgNu3byM+Ph6fffYZNm/ejMaNGxs3SCIiqjWdkk+hoaFVrkTKZDLk5uaipKQEs2fP1ktwRESWSNsTb1NJPrHuJ33jOAhEtHz5cvj6+mLNmjWKaSEhITh27BgmTpyI+Ph4rFq1yogREhEZj6phCmQywWTOD7ShU/KpS5cuKm+Dd3JyQt++ffH888/XOjAiIktnbiferPuJiEjfzpw5g4SEBMUYUHLu7u4YP3485syZY6TIiIiMq7reEubSO6IynZJPcXFx+o6DiIhMHOt+IiLSN5FIhCdPnqicV1pairKysjqOiIjINKjqLWGKvSM0pfcBxw1BJpMhKSkJPXv2RFBQEEaNGoXMzExjh0VERERERLXQtWtXJCcn4+HDh0rTHz58iHXr1qFr164G3X5ycjIiIiKUpl26dAnh4eFo3749+vTpg9TUVIPGQJZD1QNl9DV2oSHXTaZN3lvi6u1H1Q7ZYQ40vvMpICBAqyfOXLp0SaeAVElOTsbOnTuxbNkyeHt7Iz4+HmPHjsXBgwcVT8ogIiL9M2bdT0REli86OhpDhgxBv3790L59e7i7uyM3Nxe///477OzskJiYaLBtb968GUlJSQgODlZMy83NxciRI/HCCy9g4cKFOHPmDBYuXAhXV1cMHjzYYLGQ+aupi5Qh121ud8CQddI4+RQVFaU4ASkpKcGnn36KZ599Fv3794enpyfy8vLwww8/4M8//8R7772ntwBLS0uxadMmREdHo3fv3gCAlStXomfPnjhy5AgGDBigt20REZEyY9X9RERkHZo0aYKDBw9i06ZN+O9//4s7d+7A2dkZQ4cORWRkJHx8fPS+zXv37iE2NhYZGRlo1qyZ0rzdu3fD1tYWCxYsgI2NDVq0aIHMzExs3LiRySdSq6YuUoZcN5NPZA40Tj5NnjxZ8ffcuXPRp08frF69WumK+IQJExAdHY0LFy7oLcDLly/jyZMnCAkJUUxzcXFB69atcfr0aSafiIgMyFh1PxERWQ9PT886fWLqhQsX0KBBA3z11VdYu3Ytbt++rZiXnp6O4OBg2Nj8c5oUEhKC9evXIycnBx4eHnUWpzGIRE+7dlVkrk/WMhZDPlDG3B5WQ1SRTgOOHz58GElJSSq7Yrz++utKJyu1lZWVBQBo2LCh0nQvLy/cvXtXb9shIiL16rLuJyIiy7V//3707t0bbm5u2L9/f43Lv/HGG3rdfmhoKEJDQ1XOy8rKgp+fn9I0Ly8vAMCdO3csPvnk7GzPrl1EZBA6JZ/q16+PGzduoGfPnlXmXbx4EQ0aNKh1YHJFRUUAUGVsJzs7Ozx6pHvWt3JGXxMikUjplkn53/XqSZQqaZlMgCAIVZZXRSYTFMs09nZWu6x8vkQirrN1qyujIePW9PPTdnld4tZkeV3LKP9MuW7d1q3tvqk8TZ9xA1XriOqW1zVuOfk0VfMMqS7rfiIislwxMTHYvXs33NzcEBMTo3ZZkUik9+STOsXFxSrPO4Cn3c91pcu5h5wh2v3q1lVd16569SSQSmUarVvV8VDF4yVN4qhpXm2oK7s2MVSep+myupRLX5+TNmXXlbGOU+uSJmXUtvy1/f7pmyH2o07JpwEDBiAxMRE2NjYIDQ2Fu7s7cnJy8M0332Dt2rUYO3as3gK0t7cH8HTsJ/nfwNPK38HBQad1isUiuLnV1/p9FU8aK3Jysle5XHXLV7fszOGdNIrBxcWhztetroyGjFvT5JMhP28nJ3uNlteljPK/uW7d1q3tvjF03NrQNm5V1M0zhLqs+4mIyHJ9++23aNSoEQDg6NGjRo5Gmb29PUpLS5WmyZNOjo6OOq1T13OPyuqq3VfVtUubbas6NtLleKmuj3O03Z42y1dcVt/l0sf6DPFZ1/X+MwZ9ltGQ37/a0Od2dEo+zZgxA3fv3sXChQvx4YcfKqYLgoC33noLUVFRegtQ3t0uOzsbTZs2VUzPzs5GQECATuuUyQTk52v3xAGJRAwXFwelKwGqyK8OPH5cDCcne7XLy5fNzy/SOtFSUyzmvm5NPj9tl1cXt1gsgpOTPR4/Lla6pViXu6q0+fykUlmdrVtdGU05bnXrVrVvVJVT17uT6jJudctWJq+P5NutzMXFwSBXQ+qy7iciMmdisWZ1vLV66623sHbtWnTu3Blr1qzBxIkT0aRJE2OHBQDw8fFBdna20jT5a29vb53Wqcu5R0U1tfu1WaemNN22qnOmysdLmsahz/Jqss3axlfTsgB03o/6+py0KTug3V1slbdhqP1nCjQpoz7+x4zx/1F525psR9NzD52ST7a2tkhKSsJff/2F9PR05Ofnw83NDSEhIUoJIn0ICAiAk5MTTp48qVh3fn4+Ll68iPDwcJ3XW16u247SdJA3+QGFJstLpTKt4pHftmvJ69bm89N2eVVxy2MrK5Pq/N2ouB5jf37altGU49aWOexLfanr7dZl3U9EZK6qeyR6ZVKpDAUFxXUUlWkpKSnBlStX0LlzZ3z55ZcYNmyYySSfgoODsXPnTkilUkgkEgBAWloamjVrVqvxnvTRXhvreEOXbas6ftJ2HXVdXkPGV/HkXd/l0sf6VK3jaV1WNamg6Rhgxvy+1hV9ltFU/z/0uR2dkk9yrVq1QqtWrfQSSHVsbW0RHh6OhIQEuLu7w9fXF/Hx8fDx8UFYWJhBt03mR5MxdKwpDiJDqIu6n4jIXKl6JHpl+nr8urnq1q0bFixYgIULFwIAhg4dWu2yIpEIFy9erKvQMHjwYKSkpCA2NhZjxozBH3/8gS1btihiJbIWquqyinWXNd+9SbrROPn07rvvYv78+WjRogXeffddtcuKRCJs2bKl1sHJTZkyBeXl5fjggw9QXFyM4OBgpKamVhkMkKyXTCZAKpXVOIaOVCozaEVpKnEQ6Ysx634iInPGR6JXLz4+HgcOHEBubi7WrFmDwYMHw8fHx9hhAQA8PDyQkpKCJUuWYODAgfD09MSsWbMwcOBAY4dGZBSsy0hfNE4+VezXqa6PpybztSWRSBAdHY3o6Gi9rpdMn6ZPpBMEAXl5hRqNr2Do5JMpxEGkL8as+4mIyDJNmzYNs2bNQqtWrXDy5Em8++678PPzM0oscXFxVaYFBgZi165dRoiGiMhyaZx82rp1q8q/iQxB0zuIgH/uIjKVhI6pxEGkD6z7iYhI306cOIGcnBy0atUK6enpKC62zrGviIisSa3GfHry5Anq13/62NDDhw/j3r176Nu3L/71r3/pJTiyXpreyQQw2UNU11j3ExFRbTRq1Ajz589Hx44dIQgCkpOT4ebmpnJZkUiEpUuX1nGERESkbzoln65fv47x48fj5ZdfxtSpU7Fy5UqsX78eALBy5Ups2rQJnTrVfMcKkTpMKhGZFtb9RESkD4sWLcJHH32EU6dOQSQS4fz589WO5SoSWeeg7ERkfcRikdLNF5ZW/+mUfEpISIBEIkG/fv1QVlaGzz//HC+//DI+/PBDxMTE4OOPP2b3DCIiC8O6n4iI9KFLly7Yu3cvACAgIADJyckIDAw0clRE2hGJRLCxESu9JtKVSCSCq6sDJJJ/vlNSqUzr9VROYJnSDR06JZ9Onz6NJUuWoF27dkhLS0NBQQGGDh0KJycnvP3225g8ebK+4yQiIiNj3U+kncoHgNUxpQNDorp29OhReHl5KV6XlJTA1taWJ/Jk8pyd7WudKCCSE4tFkEjESNiegVv3CtDY21mj8Y8rr8PV1bHK9zIvr9AkjjN0Sj6VlZWhQYMGAIBjx47BwcFB0dVCKpXCxqZWQ0kREZEJYt1PpDlVVzCrY0oHhkR1zdfXF9euXUNSUhKOHz+Ox48fY8+ePdizZw9atGiBiIgIY4dIpFJtEwVEqty6V4Crtx/p9N7qElhiscgkjjF0OlPw9/fHd999h2effRaHDh1Cjx49YGNjg7KyMmzfvt1oj0olIiLDYd1PpLnKB4DVMbUDQ6K6dunSJQwfPhweHh549dVXsWPHDgBAvXr1sHTpUjg5OWHgwIFGjpJMhao7So1592htEgVEhmKq30udkk9TpkzBxIkTsX37dtja2mLs2LEAgP79++PBgwdYt26dXoMkIiLjY92vu8oHy/K7YSreFcOuV5bJVA8AiUzFRx99hLZt22LTpk0AgO3btwMAYmNjUVxcjM8++4zJJwKguksRwLtHicyFTsmn559/Hl9//TXOnTuHoKAg+Pr6AgBGjBiBkJAQ+Pv76zVIIiIyPtb9uqnuYBkAXFwcFH/z4JmIrNGZM2eQmJgIGxsbSKVSpXkvv/wyDh48aKTIyNSouqOUd48S1azy4PiAcS566jxAR5MmTdCkSRMUFBTg6tWraNKkCcLDwyGRSPQZHxERmRDW/drTpPsVD56JyFrZ2dmhuLhY5by8vDzY2trWcURkKqp7mpyh7ihVdYLOge/JElQeHB8wzkVPnZNPJ0+eREJCAs6fPw+RSIQ9e/YgJSUF3t7eiImJ0WeMRERkIlj3647dr4iIqurevTuSkpLQsWNHeHp6Anh6wv/kyRNs2rQJzz//vJEjJGOp66fJVXeCTpqRDzFQcWgBDilgGkzljkGdkk9paWkYO3YsOnTogJkzZyIhIQEA8Nxzz+Hjjz+Gt7c3Ro4cqddAici8NfZ21mkemQ7W/UREpG/R0dEYOnQoXnrpJQQEBEAkEiEuLg7Xr1+HIAhITEw0dohkJHX9NLnqTtCpZqqGGHBxceCQAibEFC6C6pR8+vjjj9GvXz+sWrUK5eXliI+PBwCMGzdO8XhUnoAQEfC0P7FUKqux8ZZKZWyYTBzrfiIi0reGDRviwIED2Lx5M06cOIGmTZuisLAQr7zyCkaOHAkvLy9jh0hGVNcnzKZwgm6OOB4XaUKn5NOlS5cQFRUFoGo/2O7du2PLli21j4yILIJMJiAvr7DKY3FVLceGybSx7iciIkNwc3PDtGnTjB0GWaDKT5vlsaZhMXlH6uiUfHJ2dsb9+/dVzrt79y6cndmFhoj+wcSSZWDdT0REhvDw4UN8+umnOHnyJPLz8+Hm5obOnTsjMjISHh4exg6PzJSqrmBSqQwFBaoHuCciw6r63GcN9OvXDytXrsS5c+cU00QiEbKysrBu3Tr06dNHX/EREZGJMMe6XyaTISkpCT179kRQUBBGjRqFzMxMY4dFRET/JysrC4MGDcLmzZthZ2eH1q1bw8bGBp9++ineeOMN3Lt3z9ghmhyx+OlT2Sr+1HSHuTWq2BVsauJPSNieAYmEn1Vdkz9FkN9X0unOpxkzZuDs2bN466238MwzzwAApk+fjqysLDRs2BDTp0/Xa5BERGR85lj3JycnY+fOnVi2bBm8vb0RHx+PsWPH4uDBg3x8NxGRCYiPj4dEIsGhQ4fQpEkTxfSbN29i1KhRWLlyJeLi4owYoWlRdTcPYJzHppsLdgUzruqeIsjvq/XRKfm0cuVKzJ8/H1euXMGJEyeQl5cHZ2dnREREYNCgQXBwcNB3nEREZGTmVveXlpZi06ZNiI6ORu/evQE8LUPPnj1x5MgRDBgwwMgREhHRr7/+irlz5yolngCgSZMmiIqKwvLly40UmWniwM5kbozxfVU11hf/N4xPp+TT119/jf79++Ott97CW2+9pe+YiIjIBJlb3X/58mU8efIEISEhimkuLi5o3bo1Tp8+zeQTEZEJkEqlcHNzUznP3d0djx8/ruOIzAPv5iFzUpff1+rG+srPL6qyLJNSdUun5FO7du1w7NgxdOvWTd/xEBGRiTK3uj8rKwvA08d4V+Tl5YW7d+/qvF4bG+2GS5Qf/DT2rn5Advk8+bIikUijJ0TKlzHEugVB0GpZbcqpTdyaLFtxvkQi1nsZ5ctbQ9yq4pD/Xa+eROlgXh/rNmTc6tat6jNUVU5T+57o8j9fkXyaqnnG4u/vjwMHDqBXr15V5u3fvx9+fn5GiIqIzFXluwPld1q5uDiw+5+R6ZR88vf3x7Zt2/Ddd9+hZcuWVZ5CIRKJsHTpUr0ESNXT5MCDiEhfzK3uLyp6eoWr8thOdnZ2ePRIt6tvYrEIbm71tX6fTCZg5vBONS7j4uKg+FvT5JOh161NEkzTWJyc7PW+rHx5FxcHvZex8vKGilsbhopb3efn5GRvsHUbMm51666pnKb2PdHmf0fdd0rb75shTZw4EaNHj0ZeXh5effVVPPPMM3jw4AG+/vprHD9+HElJScYOkYjMUOW7rdhd1fh0Sj4dOXIEXl5eAIArV67gypUrSvNFIo5eb0gymQCpVFbjgYdUKuM/EhHpjbnV/fb2T08gS0tLFX8DQElJic7jU8lkAvLzC7V+n6o7LJyc7PH4cbGinq54B5GLi4PSAVJl8gOm/PwijRMt2q778eNiODnZaxyHVCpTKqeqMlaMxZB3+eizjJXLWfnzVrcva3snTm3KWFPc1r5ubb7f+vieVBe3Ib8nglD1GFBeB8j/ZytSdVdAXejevTuWL1+O5cuX47ffflNM9/T0xLJlyxAWFlbnMRGRZWJ3VePSKfn0ww8/6DsO0oJMJiAvr1CjAw8mn4hIX8yt7pd3t8vOzkbTpk0V07OzsxEQEKDzesvLZTUvVAN5172yMmm169PkAEkqlekUjybrlrcfusahSRkNQb5dfZcRMJ1yalNGQLvvibWsW5t9r4/viakxtRhv374Nf39/bNmyBY8ePcLly5exatUq5OXlGSUemUyGNWvWYM+ePcjPz0enTp0wf/58/Otf/zJKPETWhIOFWy6dkk9kfPwnJCJSLyAgAE5OTjh58qQi+ZSfn4+LFy8iPDzcyNGRKdF0vB0i0r+UlBSsWbMG7777Llq0aAEAaNSoEf7++2+sWLECDg4OGDp0aJ3GlJycjJ07d2LZsmXw9vZGfHw8xo4di4MHD1bpyk1E+lPdYOEcl8kyMPlEREQWydbWFuHh4UhISIC7uzt8fX0RHx8PHx8fduMgAJp3YwfYlZ3IUHbv3o1p06ZhzJgximk+Pj6IiYmBu7s7PvvsszpNPpWWlmLTpk2Ijo5G7969AQArV65Ez549ceTIET4plciAqhssnOMyWQYmn4iIyGJNmTIF5eXl+OCDD1BcXIzg4GCkpqbyyjUBAARBs27sAO84JjKUe/fuoU2bNirntWvXDmvXrq3TeC5fvownT54gJCREMc3FxQWtW7fG6dOnmXwivWIXM9U4NlPdEIlEVZ7ibMjvIJNPRERksSQSCaKjoxEdHW3sUMhE8UCfyLiaNGmC48ePo1u3blXmnTx5Ej4+PnUaT1ZWFoB/xg2U8/Lywt27d3Veb+UTPE1VPDmsV0+iGEi+Yndg+d82NpIqg8bL67fKCQ75a/l7Va1Pl3XLnz2i6TrULV/b+CqvW/5b27LrKz55PPXqPY1VEAAnJ7sqXcwKCoqV4lRVlprKru1+13bfVF5e0/2obh3axqeqjKpi0dd3u+L0iv+T8gfu1BRHdX/r+r3U5jtf3d/OLvaQiJXXIf8OyuPR54MomHwiIiIiojrDMbaoomHDhmHp0qUoLy/HCy+8AA8PDzx8+BDff/89PvvsM8ycObNO4ykqKgKAKnfI2tnZ4dEj3e7EEItFcHOrr9N7K56QOznZKxLmlbsLy2QC6te3q/ZkWVUSovJ65MvWdt3axlfd8pVj0SU+VWWUf46arlvT6ZrG5+Rkr7R8RSLR0zGPVDHkftd231ReXpv9qG4d2sZXuYzVxaKP77aq6fLvkqZxVBeLLt9Lbb7z1a1DhKp3flf+Drq46PaEaFWYfCIiIiIigzPFMbbUJbqYBKsbw4cPR1ZWFj799FNs3rxZMV0ikWDEiBGIjIys03js7Z8mBkpLSxV/A0BJSQkcHHQ7CZPJBOTnF2r9PolEDBcXhyrj3xQUFCvugJKT30WDSieTgiCoHEMnP79IKbEljxNQfQeHs/M/cQBQrAeARvGpW0dBQTFEoqcn8o8fFyvdkVrb+CrHIpMJEAQBIlHV7m6q1q3NdGPEp+2+UbXftYlP1fKVlxWLRYp9KX+qZk1x6xpfxTLW9LnW5vOr6XPVNI7qYtF2v6v7f3/8uERxB5S6daibLq83XFwckJ9fBKlU/dNRXVwcNLpDisknUokHY0RERKRPMpnpjLGlaSKMA83XjRkzZmDcuHE4c+YM8vLy4OLigsDAQLi5udV5LPLudtnZ2YonpcpfBwQE6Lxe+Um4LiqPf1NeLlW5vrw8qYqT66d3MVReh1Qq0zgmeRej6sbh0SQ+desoL5cq/i4rU102XeOr7rOqS4aMT9t9o2q/axtfdcvLl5XPV7cvq1uHtvFpE7c2cahbd3XT6/r7p+r/3RBtpzZ1RU2YfCIlPBgjIiIiQzGVMbZUDTav6ipv5SvwZDjOzs7o2bOnscNAQEAAnJyccPLkSUXyKT8/HxcvXkR4eLiRo1NP1f+XrmNNEZFpM5X2VBtMPpGSylclq7vdzhy/7ERERERy1R3LVL7Ky+STdbG1tUV4eDgSEhLg7u4OX19fxMfHw8fHB2FhYcYOj4hMVHWDe9M/mHyiKlQdjOnzdjsiIiIiIlM1ZcoUlJeX44MPPkBxcTGCg4ORmppaZRBya8OTazJFpvC9VNVziD2FqmLyiYiIiIiU8Il0ZM0kEgmio6MRHR1t7FBMQnXDckilMr0+hp1IW6aS9KluYHEmn5Qx+aQlHowRERGRpTLFJ9IRkXFV97CAyo9k14Qp3KVClsNUkj6CILCXkAaYfNIQD8aIiIjI0qk6yeT4j0RU28HM1d09xYH9TYM5JgaZ9DEvTD5pSNuDMVagREREZI40HYibiAj4J1GhLmFR3d1T8vqG507GU1NikEhfmHzSgjYHY6xAiYjIEqg7mTCXK6NEROZMk+SOMahKWqhLWPBuSdNUU2KQSF+YfKI6xxMZIiLTp2l3c14ZJSIyDG2TO3VNVdKCCQvzxP1GdYHJJ6ozPJEhIjIfgqD6SmhlPGAlIjIMeXKnXj2JYqiPsjKpSdW5bAOISFNMPlGdqe6WTlXLsREjIjI+1sdERMYlv3gL8AItEZk3Jp+oTvFEhoiI6gK7eBMRERGZDiafiIiIyGKwizcRERGR6WHyiYhIDd49QWRe2MWbiIiIyPQw+UREpALvniBLZulJVSaWiIiIyFDkx0qWcMxUl5h8IiJSgXdPkCViUpWIiIj0wVoTMJWPo3jMpDkmn4iIqsHEElkaJlWJiIioNlRdyLKmBExBQTHEYhFcXByQn1+EsjKp1ZS9tph8IiIisiJMLBEREdW9incImfPdQqouZFnTsYUgCJBKn5bVmpJu+sDkExEREREREZEBVNfl3ZwTF9aUbCL9YfKJiIiIiIiIyADkdwrVqydRdNWSJ56YwCFrwuQTERERERGRBbOGwaFNuVub/O4n4OkdT+XlMiNHRJow5e+UOWLyiYiIiIiIyAJZw+DQltitjYxP3Xeqpge3kGomn3y6e/cu4uPjcfLkSZSWliIwMBAxMTFo1aqVsUMjIiIiIiIyWdYwOHR1T3K1tHJS3SooKIYgKH9/5N8pJp90IzZ2AOqUlpZi3LhxyMnJwfr167Fjxw44OztjxIgRePjwobHDIyIiIiIiMmkymYDycpnixxITMpXLaKnlpLojCPxO6ZtJJ5/S09Px559/Yvny5Wjbti1atWqF5cuXo7CwED/88IOxwyMiIiIiIiIiohqYdPKpVatW2LBhA7y9vZWmC4KAR48eGSkqIiIiIiIyd7GxsYiJiakyPS0tDYMGDUJgYCBefPFF7N+/v+6DI9KDxt7OaOHbgINlk0kw6TGfPD090bt3b6Vpn332GUpKStC9e3cjRUVEREREROZKKpUiISEBX3zxBQYOHKg07+rVqxg/fjxGjx6NhIQE/Pjjj5g7dy68vb3RrVs3I0VMpD1LH2iezI9Rk0+3bt1Cv379qp3/66+/wtPTU/H6u+++w8qVKxEREYGAgIBabdvGpvY3fUkkYqXfquZpsx5TpK6MlsQcylnb75Q1fF8B89iXtWUNZSQiIjKEq1evYs6cObh58yYaNWpUZf6WLVsQEBCA999/HwDQvHlzXLx4ESkpKUw+kVmpPGA2B2AnYzNq8snb2xuHDh2qdr67u7vi788//xyLFi3Cyy+/jDlz5tRqu2KxCG5u9Wu1jopcXByM+v66YA4x6oOllFNdOazh+wqYT5y1YQ1lJCIi0qdTp07hueeewyeffIKpU6dWmZ+eno4XXnhBaVpISAiWLFkCQRAgEvEpV2Qe5ANmE5kKoyaf6tWrhxYtWtS4XEJCAjZu3IiIiAjExsbWutKXyQTk5xfWah3A07sOXFwckJ9fBKlUpnKeJlS931SoK6MlMYdy1vY7ZQ3fV8A89mVt1VRGFxcH3hVFRESkwrBhw9TOz8rKgo+Pj9I0Ly8vFBUVITc3V+niOBERac6kx3wCgPj4eKSkpGDWrFkYPXq03tarzyywVCqr1fpq+/66YA4x6oOllFNdOazh+wqYT5y1YQ1lJCIi0pS2Q3qoUlxcDFtbW6Vp8telpaU6x1abIT+sobs9y1i7dWo7z5A0KWd187QdHqS2ZdR13fy+6sakk08nT55ESkoKIiIi8Nprr+H+/fuKeY6OjqhfX39d54iIiIiIyHxpM6RHdezs7KokmeSvHRx06+6uryE/rKG7PctoftvR5/a1fY8hy6jJuo39GdcFfZbRpJNPBw8eBABs3boVW7duVZo3adIkTJ482RhhERERERGRidF0SA91GjZsiOzsbKVp2dnZcHR0hLOzbo+rr+2QHxxSwDIYoozqhs4w1mepSTmri1vb4UFqW0Zd183vqzJNh/ww6eTTokWLsGjRImOHQUREREREVqBz5844deqU0rS0tDR07NgRYrHu3U/00U3eGrrbs4zmtx19bl/b9xiyjJqs29ifcV3QZxlNOvlERERERKSpxt7q70ypaT5RREQEBg4ciISEBAwcOBDHjh3Dt99+i5SUFGOHRkRk1ph8IiIiIjJDTLT8QyYTIJXKMHN4pxqXlUplkMmEOoiKzFGrVq2QnJyM+Ph4bNmyBY0bN0Z8fDy6detm7NCIiMwak09EREREZoSJlqpkMgF5eYUQi0UaLWsNnwnVrPKYsnK9evVCr1696jgaIiLLxuQTERERkRlhokU1ayorERGRuWHyiYiIiMjMMNFCRETmTt493Jq6iVszJp+IiIiIiIiIqE6o6j5uLd3ErRmTT0RmRt2VgdpeNTDkuomIiIiISP8qHqebwzG7qu7jvKPX8jH5RGQmNB1gVperBoZcNxERERER6V91x/DmcMzOZJP1YfKJyExoOsCsLhW5IddNRERERET6V90xPI/ZtWNud46ZKyafiMyIIRsSNlJEREREROaFx/C6M+c7x8yR2NgBEBERqRMbG4uYmJgq09PS0jBo0CAEBgbixRdfxP79+5Xml5SUYOHChejWrRs6dOiAKVOmICcnp46iJiIiIiJTJr9zLDf3idJPXl4hk08GwOQTERGZJKlUio8++ghffPFFlXlXr17F+PHj0bt3b+zfvx9Dhw7F3LlzkZaWplhmwYIF+O2337B69Wps2bIFN2/exPvvv1+XRSAiIiIiEyaTCSgvlyn9MPFkGOx2R0REJufq1auYM2cObt68iUaNGlWZv2XLFgQEBCiSSc2bN8fFixeRkpKCbt264d69e9i/fz/Wr1+Pzp07AwASExPx0ksv4cyZM2jfvn1dFoeIiIiIyKrxziciIjI5p06dwnPPPYeDBw+icePGVeanp6cjJCREaVpISAgyMjIgCAIyMjIAAF27dlXMb9asGby9vXH69GnDBk9EREREREp45xMREZmcYcOGqZ2flZUFHx8fpWleXl4oKipCbm4u7t27Bzc3N9jZ2VVZ5u7du7WKzcam9tdtJBKx0m9V87RZjylSV0ZLYg3ltIYyAtWXU/66picgyeeb8udkLfuSiIhMD5NPBqbuQIWPcSQia3Tr1i3069ev2vm//vorPD091a6juLgYtra2StPkr0tLS1FUVFRlPgDY2dmhpKREh6ifEotFcHOrr/P7K3Nxcah2nibth7r3mwpziFEfrKGc1lBGQHU5ZTKhytOQVJHJBLP4nMwhRiKiiioeF/E82jwx+WQg1T22sTI+xpGIrI23tzcOHTpU7Xx3d/ca12FnZ4fS0lKlafLXDg4OsLe3rzIfePoEPAcH3U+6ZDIB+fmFOr9fTiIRw8XFAfn5RZBKZUrzRCIRnJ3tNWo/CgqKIQim2YaoK6MlsYZyWkMZgZr/L8ViUY3rkMkEk/2fBNSX0cXFgXdEEZHJqe68mufR5ofJJwORP7axpgMVmUzgPw0RWZV69eqhRYsWtVpHw4YNkZ2drTQtOzsbjo6OcHZ2ho+PD/Ly8lBaWqp0B1R2dnaV7nraKi/X38m3VCpTuT5Laj+qK6OlsYZyWkMZAesopzWUkYgsQ3Xn1eZyHET/YPLJgPgPQURkGJ07d8apU6eUpqWlpaFjx44Qi8Xo1KkTZDIZMjIy0K1bNwDAtWvXcO/ePcXT70wZ2w8iIiKip3hcZBl4by0REZmdiIgI/PHHH0hISMDVq1exadMmfPvttxgzZgyAp137BgwYgA8++AAnT57EH3/8gRkzZqBLly5o3769cYMnIiIiIrIyTD4REZHZadWqFZKTk3Hs2DG88cYb2LNnD+Lj4xV3OQHAokWL0K1bN0yaNAmjR49G8+bNkZSUZMSoiYiIiIisE7vdERGRSdu6davK6b169UKvXr2qfZ+joyMWL16MxYsXGyo0IiIiIiLSAO98IiIiIiIiIiIig2HyiYiIiIiIiIiIDEYkCILVDRsvCPobLV8iEUMqtexH1VpDGQHrKKc1lBGwjnKqK6NYLIJIJFI5j2qH7Yd2rKGMgHWU0xrKCFhHOasrI9sOw9FH22HN301LYg1lBKyjnCzjPzRtP6wy+URERERERERERHWD3e6IiIiIiIiIiMhgmHwiIiIiIiIiIiKDYfKJiIiIiIiIiIgMhsknIiIiIiIiIiIyGCafiIiIiIiIiIjIYJh8IiIiIiIiIiIig2HyiYiIiIiIiIiIDIbJJyIiIiIiIiIiMhgmn4iIiIiIiIiIyGCYfCIiIiIiIiIiIoNh8omIiIiIiIiIiAyGySciIiIiIiIiIjIYJp90IJPJkJSUhJ49eyIoKAijRo1CZmamscPSu9u3b8Pf37/Kz549e4wdml4kJycjIiJCadqlS5cQHh6O9u3bo0+fPkhNTTVSdPqjqpxz5sypsl979eplpAh1k5eXh3nz5qFXr17o2LEjhg0bhvT0dMV8S9iXNZXREvajtWH7wfbDXLDtMO/9yPbDMlh6m2Gpdam11DM5OTmIjo5GSEgIOnTogHHjxuHKlSuK+ZZSTrnr16+jQ4cO2Ldvn2KaJZSxpmM2vZZRIK2tXr1a6Natm/DTTz8Jly5dEkaNGiWEhYUJJSUlxg5Nr44ePSq0a9dOuHfvnpCdna34KSoqMnZotfbpp58K/v7+Qnh4uGLaw4cPha5duwqxsbHClStXhC+++EJo166d8MUXXxgx0tpRVU5BEISBAwcKiYmJSvs1JyfHSFHqZuTIkcJrr70mnD59Wrh69aqwaNEiITAwULhy5YrF7Et1ZRQEy9iP1obtB9sPc8C2w/z3I9sPy2DJbYYl16XWUs+8+eabwtChQ4U//vhDuHLlijB58mShe/fuQmFhoUWVUxAEobS0VBg0aJDg5+cn7N27VxAEy/m+qjtm03cZmXzSUklJidChQwdhx44dimmPHj0SAgMDhYMHDxoxMv375JNPhNdee83YYehVVlaWMHr0aKF9+/bCSy+9pNTgrVu3TujZs6dQVlammLZixQqhf//+xgi1VtSVs7y8XGjXrp1w5MgRI0ZYOzdu3BD8/PyEjIwMxTSZTCaEhYUJH3/8sUXsy5rKaAn70dqw/TBv1tB+sO2wjP3I9sMyWGqbYel1qbXUMw8fPhSmTZsm/Pnnn4pply5dEvz8/ISzZ89aTDnlVqxYIURERCglnyyljOqO2fRdRna709Lly5fx5MkThISEKKa5uLigdevWOH36tBEj07///e9/aNmypbHD0KsLFy6gQYMG+OqrrxAUFKQ0Lz09HcHBwbCxsVFMCwkJwfXr15GTk1PXodaKunLeuHEDJSUlaNGihZGiqz03Nzds2LABbdu2VUwTiUQQBAGPHj2yiH1ZUxktYT9aG7Yf5s0a2g+2HZaxH9l+WAZLbTMsvS61pnomMTERrVq1AgA8ePAAqamp8PHxQcuWLS2mnABw+vRp7Nq1Cx999JHSdEspo7pjNn2XkcknLWVlZQEAGjZsqDTdy8sLd+/eNUZIBvPnn38iJycH77zzDp5//nkMGzYMv/zyi7HDqpXQ0FCsWLECTZo0qTIvKysLPj4+StO8vLwAAHfu3KmT+PRFXTn//PNPiEQibNmyBaGhoXjhhRewaNEiFBQUGCFS3bi4uKB3796wtbVVTDt8+DD+/vtv9OjRwyL2ZU1ltIT9aG3YfrD9MHVsOyxjP7L9sAyW2mZYel1qLfVMRf/+97/RvXt3fPPNN1iyZAkcHR0tppz5+fmYNWsWPvjggyr/i5ZSRnXHbPouI5NPWioqKgIApQoFAOzs7FBSUmKMkAyitLQUN27cwOPHjzF16lRs2LAB7dq1w9ixY5GWlmbs8AyiuLhY5X4FYFH79q+//oJYLIavry/WrVuH2bNn49ixY5g4cSJkMpmxw9NJRkYG5s6di379+iE0NNQi92XlMlrifrR0bD/YfpgzS6xzrKHtANh+mCtraTMqssT/QWuoZ0aMGIG9e/fitddeQ1RUFC5cuGAx5VywYAHat2+PV199tco8SyhjTcds+i6jTc2LUEX29vYAnu4o+d/A0w/fwcHBWGHpna2tLU6fPg0bGxvFF65t27a4evUqUlNT0a1bNyNHqH/29vYoLS1Vmib/p3J0dDRGSAYxefJkREZGwsXFBQDg5+cHT09PDB06FOfOnatyC7Sp+/777zFz5kwEBQUhMTERgOXtS1VltLT9aA3YfrD9MGeWVudYQ9sBsP0wZ9bSZlRkaf+D1lLPyLtsLVq0CGfOnMG2bdssopz79+9Heno6vv76a5XzLaGMNR2z6buMvPNJS/Lb7bKzs5WmZ2dnV7klzdw5OjpWyXT6+fnh3r17RorIsHx8fFTuVwDw9vY2RkgGIRKJFAeccn5+fgD+ucXbXGzbtg2TJ09Gr169sHHjRsXBmSXty+rKaEn70Vqw/WD7Yc4sqc6xhrYDYPth7qypzZCzpP9BS69ncnJycPDgQUilUsU0sViMFi1aKL6j5l7OvXv3IicnB3369EGHDh3QoUMHAMD8+fMxYMAAiygjoP6YTd9lZPJJSwEBAXBycsLJkycV0/Lz83Hx4kV07tzZiJHp1+XLl9GhQwekp6crTT9//rzFDSIrFxwcjIyMDKVKNC0tDc2aNYOHh4cRI9OvGTNmYPTo0UrTzp07BwBmtW937NiBRYsWYfjw4fj444+VKk1L2Zfqymgp+9GasP1g+2HOLKXOsYa2A2D7YQmspc2oyFL+B62hnsnOzsaMGTNw6tQpxbSysjJcvHgRLVq0sIhyJiQk4NChQ9i/f7/iBwCmTJmCDRs2WEQZazpm03sZdXpGnpVLTEwUunTpInz//ffCpUuXhFGjRgkvvviiUFJSYuzQ9EYqlQpvvvmm8MorrwinT58Wrly5IixdulRo27atcPnyZWOHpxezZ89WerzrgwcPhODgYGH27NnCX3/9Jezdu1do166dsG/fPiNGWXuVy/nDDz8I/v7+QnJyspCZmSn89NNPQmhoqDB9+nQjRqmda9euCW3atBGioqKE7OxspZ/8/HyL2Jc1ldES9qM1YvvB9sNcsO0w3/3I9sNyWHqbYYl1qbXUMzKZTBg1apTQv39/4fTp08L//vc/Ydq0aUJwcLBw+/ZtiylnZX5+fsLevXsFQbCM72tNx2z6LqNIEAShthkzayOVSpGYmIh9+/ahuLgYwcHBmDdvHho3bmzs0PTq4cOHSEhIwM8//4z8/Hy0bt0aM2fOtJirLTExMbh9+za2bt2qmPbHH39gyZIluHjxIjw9PTFq1CiEh4cbMcraU1XOb7/9FuvWrcO1a9fg7OyMV199FVOnTlUMIGfq1q1bh5UrV6qcN3DgQMTFxZn9vtSkjOa+H60R2w+2H+aCbYf57ke2H5bD0tsMS6xLraWeAYCCggKsWLEC33//PQoKCtC5c2fExMSgVatWAMx/X6ri7++PZcuWYdCgQQAso4w1HbPps4xMPhERERERERERkcFwzCciIiIiIiIiIjIYJp+IiIiIiIiIiMhgmHwiIiIiIiIiIiKDYfKJiIiIiIiIiIgMhsknIiIiIiIiIiIyGCafiIiIiIiIiIjIYJh8IiIiIiIiIiIig2HyiYiIiIiIiMhCCYJg7BCImHwiqsmtW7fg7++Pffv2GTuUWgsNDUVMTIyxwyAisgpsP4iILNPJkyfRv39/tG3bFqNHj8bjx4/x3nvvISgoCMHBwbhx44ZW9b8h24ujR49i9uzZel+vvvn7+2P16tXGDoMMyMbYARARERERERGZi48++ggymQwbNmyAh4cH9u/fjx9++AHz5s1Dq1at0KhRI+zatQtNmzbVaH1eXl5aLa+NzZs3632dRLpg8omIiIiIiIhIQ3l5eQgODsbzzz8PADhy5AgA4J133oFIJAIAtG/fXuP12draarU8kTlitzsyugsXLmDEiBHo1KkTOnTogMjISJw9e1ZpmT179mDQoEFo3749AgMD8frrr+PQoUOK+fv27UO7du2QkZGBwYMHo127dujfvz9++OEHXLt2DSNGjEBQUBDCwsLwn//8R+l9/v7+OHv2LAYOHIjAwEC8+uqrSutW5c6dO5g+fTq6dOmCoKAgjBgxAhcvXlT7ntWrVyMsLAw//fQTXn31VbRt2xb9+/fHl19+qVjm5MmT8Pf3x8mTJ5XeGxERgYiICMXr0NBQrFmzBsuWLUPXrl3RoUMHzJgxA0+ePMGGDRvQq1cvdOrUCZMnT0Zubq7SusrKyrB48WIEBwcjODgYs2fPxsOHD5WWSU9PR3h4OIKCgtClS5cqy+zbtw+tW7fGnj170KNHD/Tq1Qt//fWX2vITEekb2w+2H0REcoIgYPv27RgwYAACAwMRFhaGjRs3Ko139Ntvv+Gdd95Bp06d0LVrV8yYMQN3795VWo+6elrePe727dvYv38//P39ERERoeguFhAQgJiYGJXd6P7++29MmTIFXbp0QXBwMMaOHauo/1QtX1N7IX/P4cOHMWXKFHTo0AHBwcGIjY3FkydPADxtA06dOoVTp06pbCPkYmJiEBkZib179yq6E7722ms4duyYYhl5u3fr1i2l91bulu3v74/PP/8cMTEx6NSpE7p06YLFixejuLgYH330EUJCQtC1a1fExsaipKREaV2PHz/GzJkz0aFDB3Tr1g2LFy9GUVGR0jLff/89Bg0ahHbt2qF79+5YvHgxCgsLFfPlbeaaNWvQtWtXvPDCC1XaMzIOJp/IqB4/fowxY8bAzc0NSUlJWLlyJYqKijB69GgUFBQAALZv34558+ahX79+WL9+PeLj41GvXj1ER0fjzp07inWVl5dj+vTpePvtt5GcnAw7OzvMnDkTEyZMQJ8+fbBq1Sp4enpi9uzZyMrKUopj/Pjx6NevH9asWYNmzZph+vTpOHr0qMqYHz58iLfffhsXLlzAv//9b6xYsQIymQzDhw/H1atX1Zb3/v37+PDDD/Huu+9iw4YNaNy4MWJiYmp8nyqffvop7ty5g5UrV2LChAk4ePAgBg8ejN9++w2LFi3C5MmTcfToUSQlJSm97/Dhwzh//jzi4uIwa9Ys/PTTT5g4caJi/unTpxEZGQl7e3t8/PHHmDt3Lk6dOoV3330XxcXFiuWkUinWrVuHxYsXY+rUqWjZsqXWZSAi0hXbD7YfREQVJSYmYsmSJejduzc++eQTvPnmm1i5ciWSk5MBAAcOHMCoUaPg7e2NxMREzJkzB7///juGDh2KnJwcADXX0/LucZ6enujduzd27dqF2NhYDBkyBACwa9cupXpRLjs7G2+++SauXbuG+fPnIyEhAY8ePUJkZGSVJL4mcVQ0f/58+Pr6Ijk5GWPGjMHevXuxbt06xbzWrVujdevW2LVrF9q0aVPt53f+/HmkpqZiypQpWLt2LWxsbDBlyhQ8evRI632RkJAAW1tbrFmzBq+//jq2bt2KN954A3fv3kV8fDzefvttfPHFF9i6davS+7Zu3YrHjx/j448/xvjx47Fnzx588MEHivlff/01oqKi0Lx5c6xduxaTJk3CV199hYkTJyolGe/cuYMjR44gMTERU6dOhZubm9ZlIAMQiIzo999/F/z8/IT09HTFtMzMTOGjjz4S7ty5IwiCICxbtkxYvny50vvOnz8v+Pn5CV9//bUgCIKwd+9ewc/PT9ixY4dimYMHDwp+fn7Cxx9/rJh27tw5wc/PTzhy5IjS+1avXq1YRiaTCa+//rowaNAgQRAE4ebNm4Kfn5+wd+9eQRAEITExUWjXrp1w69YtxXtKSkqEfv36CZMnT662rElJSYKfn59w/PhxxbTbt28Lfn5+QmpqqiAIgnDixAnBz89POHHihNJ7w8PDhfDwcMXrvn37Cj179hTKysoU0/r37y906NBByM/PV0wbP3688Nprrym9r2vXrkJBQYFi2pEjRwQ/Pz/hl19+EQRBEIYOHSq88sorQnl5uWKZa9euCc8995ywbds2pc9t9+7d1ZaXiMiQ2H6w/SAiknv06JHQpk0bYenSpUrTly1bJowcOVKQSqVC9+7dhcjISKX5mZmZQps2bRRthab1dN++fYXZs2crXsvrabnK9X9cXJwQGBgoZGdnK5a5d++e0KdPH+Ho0aM6tRfy98ycOVOpTBEREcIrr7yieF25HVBl9uzZgp+fn5CZmamYdurUKcHPz0/45ptvBEH4p/6+efOm0nsrfxZ+fn7Cm2++qXhdVlYmtG/fXggNDVVqe1555RXhvffeU3rfyy+/LEilUsW0zZs3C/7+/sKVK1cEmUwm9OrVSxg9erTS9o8fPy74+fkJP/74oyAI/+yL3377TW2Zqe7xzicyqlatWsHd3R3vvfce5s+fjx9++AGenp6YNWsWGjZsCODpbaDR0dEoKCjAuXPn8PXXX2P79u0AnnYBqKhDhw6Kv5955hkAyv2tXV1dAQD5+flK73v99dcVf4tEIoSFheHChQtVbvMEgLS0NDz33HPw9vZGeXk5ysvLIRaL0atXLxw/frzGMleMx8fHBwCUbhXVVGBgIGxs/hm2zdPTE82bN4ezs7Nimqurq+IOALnevXvDyclJ8To0NBT16tXD8ePHUVRUhLNnz6J3794QBEFRviZNmqBFixb47bfflNbl5+enddxERPrA9oPtBxGR3JkzZ1BWVoawsDCl6TExMdi0aROuX7+O+/fv49VXX1Wa37RpU3To0EHRHa229XR1MjIy0L59e3h6eiqmeXl54ccff0RoaGiV5bWJo/JYUT4+Pjq1De7u7koDnsvbGVXtWU0qtqk2NjZwc3ND27ZtldoeVe1M//79IRb/k6J48cUXIQgCTpw4gWvXriErKwuhoaGKz6S8vBzBwcFwcnJiO2MGOOA4GVX9+vWxfft2fPLJJzh06BB27twJBwcHvPbaa4iNjYWdnR3+/vtvzJs3DydOnICNjQ2aN28Of39/AFC6vRKA0kGxnL29fY1xeHt7K7328PCAIAhVKkTg6QCDmZmZ1d62WlRUBAcHh2q3VXGevHKtXA5NqCqruu3KyU+qKsbg6uqK/Px85OfnQyaTYePGjdi4cWOV99rZ2Sm99vDw0DJqIiL9YPvB9oOISC4vLw/A0wSKuvmV6zH5NPlYSrWtp9XF17hxY62WrykOucrxiMVindqGyuuRD5wuk8m0Xpe+2hl5W5Gfn6/YhwsXLsTChQurvDc7O1vtusj4mHwio2vevDni4+MhlUrxxx9/4MCBA/j888/RuHFjjBkzBuPGjUO9evWwe/dutG7dGjY2Nrhy5Qq++uorvcWQm5urdALx4MEDSCQSuLq6VqnInJ2d0aVLF8yaNUvlumxtbXWOo7pK/smTJ6hfv77O662o8lV7qVSK3NxceHh4oH79+hCJRIiMjMSAAQOqvFeXxpaIyFDYfvyD7QcRWTMXFxcAT8dKat68uWL63bt3kZmZqRjz58GDB1Xee//+fcV8Q9XTzs7OKsd2SktLQ+PGjRV1eMXlDdVe6EpdO6MvlduZ+/fvA3iahJLv41mzZqFLly5V3tugQQO9xUGGwW53ZFTffPMNQkJCcP/+fUgkEnTo0AELFiyAi4sLsrKykJubi+vXr2PIkCFK3QR+/vlnALpl4lX54YcfFH8LgoDvvvsOnTp1Ulmxd+nSBdevX0ezZs3Qrl07xc9XX32FPXv2QCKR6ByH/CpBxaduPHr0SKcBZatz/PhxlJeXK15/++23KC8vR9euXeHk5ITWrVvj2rVrSmVr1aoV1qxZU+0TMoiI6hrbD2VsP4jImgUGBqJevXpVHviwZcsWvP/++2jWrBk8PT3x9ddfK82/efMmzpw5g44dOwIwXD3duXNnnDlzRjGwOfA0UTZ27FiVD6nQZxwVu7HVhqp25tq1a4o7kvThl19+UXr9n//8ByKRCF26dEHz5s3h4eGBW7duKX0mPj4+WLFiRY1PjiXj451PZFQdO3aETCZDVFQUxo0bh/r16+Pw4cMoKCjAiy++CA8PD/j6+mL79u3w8fGBi4sLfv31V2zZsgWAbn2QVYmPj0dpaSmaNWuGPXv24OrVq4ptVBYZGYkDBw4gMjISo0aNgpubGw4dOoTdu3djzpw5tYrD398fDRs2xJo1a+Ds7AyxWIwNGzbo9YrxgwcPMHnyZERERODGjRtITExE9+7d0a1bNwDA9OnTMW7cOMyYMQOvvfYapFIpNm3ahLNnz+K9997TWxxERLXB9kMZ2w8ismbu7u549913sWXLFtja2iIkJATnzp3Dtm3bMH36dNja2mL69OmYM2cOpk2bhjfeeAO5ublYs2YNGjRogJEjRwIwXD0dGRmJ/fv3Y/To0ZgwYQLs7Oywfv16eHl54Y033sDjx4+rLK+vOFxcXPD7778jLS0NrVu31vkOoZCQEDg4OCAuLg5Tp07FkydPsGbNGsWYiPpw/vx5xMbG4pVXXsG5c+eQlJSEIUOG4NlnnwUATJs2DfPmzYNEIkHfvn2Rn5+P5ORk3Lt3T+2T/Mg0MPlERuXl5YWUlBSsWrUKsbGxKCoqQqtWrbB69WqEhIQAAJKTk7FkyRLExMTA1tYWLVu2xCeffIKlS5ciPT0dERERtY5jwYIFWL9+PW7evInWrVtj06ZN6Ny5s8plvb29sXPnTqxYsQILFixASUkJnn32WSxZskTxmFVdSSQSJCUlYenSpZg+fTqeeeYZjBgxAteuXcP169drtW65t956C8XFxYiKioKtrS1effVVREdHK26l7dGjB1JTU7FmzRpMmTIF9erVQ5s2bfDpp59WGdCQiMhY2H4oY/tBRNYuOjoazzzzDD7//HNs2rQJjRs3xty5c/HOO+8AAAYNGoT69etj/fr1iIqKgpOTE3r27Inp06crBgI3VD3dsGFD7NixA/Hx8ZgzZw5sbW3RpUsXxMfHw9XVtUrySZ9xDB8+HOfPn8fYsWOxbNmyKoOua8rZ2RlJSUlYsWIFoqKi4Ovri0mTJmH//v06rU+V9957DxcvXsSECRPg7OyMMWPGYNKkSYr5b775JurXr4+UlBTs2rULjo6O6NixIxISEtCkSRO9xUGGIRJ0GY2MyELs27cPc+bMwdGjR7UaBJCIiKwb2w8iIiIizXHMJyIiIiIiIiIiMhgmn4iIiIiIiIiIyGDY7Y6IiIiIiIiIiAyGdz4REREREREREZHBMPlEREREREREREQGw+QTEREREREREREZDJNPRERERERERERkMEw+ERERERERERGRwTD5REREREREREREBsPkExERERERERERGQyTT0REREREREREZDBMPhERERERERERkcH8fw3g22czVrNTAAAAAElFTkSuQmCC\",\n      \"text/plain\": [\n       \"<Figure size 1200x300 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plot_residuals_and_coeff(resid_train, resid_test, model.coef_)\\n\",\n    \"fig.savefig(\\\"ch15-regression-ols.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"model = linear_model.Ridge() #alpha=2.5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<style>#sk-container-id-2 {color: black;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \\\"▸\\\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \\\"▾\\\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \\\"\\\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \\\"\\\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \\\"\\\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\\\"sk-container-id-2\\\" class=\\\"sk-top-container\\\"><div class=\\\"sk-text-repr-fallback\\\"><pre>Ridge()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\\\"sk-container\\\" hidden><div class=\\\"sk-item\\\"><div class=\\\"sk-estimator sk-toggleable\\\"><input class=\\\"sk-toggleable__control sk-hidden--visually\\\" id=\\\"sk-estimator-id-2\\\" type=\\\"checkbox\\\" checked><label for=\\\"sk-estimator-id-2\\\" class=\\\"sk-toggleable__label sk-toggleable__label-arrow\\\">Ridge</label><div class=\\\"sk-toggleable__content\\\"><pre>Ridge()</pre></div></div></div></div></div>\"\n      ],\n      \"text/plain\": [\n       \"Ridge()\"\n      ]\n     },\n     \"execution_count\": 25,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"model.fit(X_train, y_train)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"178.50695164950955\"\n      ]\n     },\n     \"execution_count\": 26,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"resid_train = y_train - model.predict(X_train)\\n\",\n    \"sse_train = sum(resid_train**2)\\n\",\n    \"sse_train\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"212737.00160105838\"\n      ]\n     },\n     \"execution_count\": 27,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"resid_test = y_test - model.predict(X_test)\\n\",\n    \"sse_test = sum(resid_test**2)\\n\",\n    \"sse_test\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(0.9994595515017335, 0.3167033273607547)\"\n      ]\n     },\n     \"execution_count\": 28,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"model.score(X_train, y_train), model.score(X_test, y_test)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x300 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plot_residuals_and_coeff(resid_train, resid_test, model.coef_)\\n\",\n    \"fig.savefig(\\\"ch15-regression-ridge.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"model = linear_model.Lasso(alpha=1.0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<style>#sk-container-id-3 {color: black;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: \\\"▸\\\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \\\"▾\\\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \\\"\\\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: \\\"\\\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: \\\"\\\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id=\\\"sk-container-id-3\\\" class=\\\"sk-top-container\\\"><div class=\\\"sk-text-repr-fallback\\\"><pre>Lasso()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\\\"sk-container\\\" hidden><div class=\\\"sk-item\\\"><div class=\\\"sk-estimator sk-toggleable\\\"><input class=\\\"sk-toggleable__control sk-hidden--visually\\\" id=\\\"sk-estimator-id-3\\\" type=\\\"checkbox\\\" checked><label for=\\\"sk-estimator-id-3\\\" class=\\\"sk-toggleable__label sk-toggleable__label-arrow\\\">Lasso</label><div class=\\\"sk-toggleable__content\\\"><pre>Lasso()</pre></div></div></div></div></div>\"\n      ],\n      \"text/plain\": [\n       \"Lasso()\"\n      ]\n     },\n     \"execution_count\": 31,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"model.fit(X_train, y_train)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 32,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"309.7497138953243\"\n      ]\n     },\n     \"execution_count\": 32,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"resid_train = y_train - model.predict(X_train)\\n\",\n    \"sse_train = sse(resid_train)\\n\",\n    \"sse_train\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 33,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"1489.1176065002646\"\n      ]\n     },\n     \"execution_count\": 33,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"resid_test = y_test - model.predict(X_test)\\n\",\n    \"sse_test = sse(resid_test)\\n\",\n    \"sse_test\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 34,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x300 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plot_residuals_and_coeff(resid_train, resid_test, model.coef_)\\n\",\n    \"fig.savefig(\\\"ch15-regression-lasso.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 35,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"alphas = np.logspace(-4, 2, 100)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 36,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/Users/rob/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.311e+01, tolerance: 3.303e+01\\n\",\n      \"  model = cd_fast.enet_coordinate_descent(\\n\",\n      \"/Users/rob/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.682e+01, tolerance: 3.303e+01\\n\",\n      \"  model = cd_fast.enet_coordinate_descent(\\n\",\n      \"/Users/rob/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.220e+01, tolerance: 3.303e+01\\n\",\n      \"  model = cd_fast.enet_coordinate_descent(\\n\",\n      \"/Users/rob/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.515e+01, tolerance: 3.303e+01\\n\",\n      \"  model = cd_fast.enet_coordinate_descent(\\n\",\n      \"/Users/rob/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.462e+01, tolerance: 3.303e+01\\n\",\n      \"  model = cd_fast.enet_coordinate_descent(\\n\",\n      \"/Users/rob/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.865e+01, tolerance: 3.303e+01\\n\",\n      \"  model = cd_fast.enet_coordinate_descent(\\n\",\n      \"/Users/rob/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.408e+01, tolerance: 3.303e+01\\n\",\n      \"  model = cd_fast.enet_coordinate_descent(\\n\",\n      \"/Users/rob/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.514e+01, tolerance: 3.303e+01\\n\",\n      \"  model = cd_fast.enet_coordinate_descent(\\n\",\n      \"/Users/rob/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.364e+01, tolerance: 3.303e+01\\n\",\n      \"  model = cd_fast.enet_coordinate_descent(\\n\",\n      \"/Users/rob/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.928e+01, tolerance: 3.303e+01\\n\",\n      \"  model = cd_fast.enet_coordinate_descent(\\n\",\n      \"/Users/rob/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.447e+01, tolerance: 3.303e+01\\n\",\n      \"  model = cd_fast.enet_coordinate_descent(\\n\",\n      \"/Users/rob/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.509e+01, tolerance: 3.303e+01\\n\",\n      \"  model = cd_fast.enet_coordinate_descent(\\n\",\n      \"/Users/rob/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.718e+01, tolerance: 3.303e+01\\n\",\n      \"  model = cd_fast.enet_coordinate_descent(\\n\",\n      \"/Users/rob/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.941e+01, tolerance: 3.303e+01\\n\",\n      \"  model = cd_fast.enet_coordinate_descent(\\n\",\n      \"/Users/rob/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/sklearn/linear_model/_coordinate_descent.py:628: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.351e+01, tolerance: 3.303e+01\\n\",\n      \"  model = cd_fast.enet_coordinate_descent(\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"coeffs = np.zeros((len(alphas), X_train.shape[1]))\\n\",\n    \"sse_train = np.zeros_like(alphas)\\n\",\n    \"sse_test = np.zeros_like(alphas)\\n\",\n    \"\\n\",\n    \"for n, alpha in enumerate(alphas):\\n\",\n    \"    model = linear_model.Lasso(alpha=alpha)\\n\",\n    \"    model.fit(X_train, y_train)\\n\",\n    \"    coeffs[n, :] = model.coef_\\n\",\n    \"    resid = y_train - model.predict(X_train)\\n\",\n    \"    sse_train[n] = sum(resid**2)\\n\",\n    \"    resid = y_test - model.predict(X_test)\\n\",\n    \"    sse_test[n] = sum(resid**2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 37,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 2, figsize=(12, 4), sharex=True)\\n\",\n    \"\\n\",\n    \"for n in range(coeffs.shape[1]):\\n\",\n    \"    axes[0].plot(np.log10(alphas), coeffs[:, n], color='k', lw=0.5)\\n\",\n    \"\\n\",\n    \"axes[1].semilogy(np.log10(alphas), sse_train, label=\\\"train\\\")\\n\",\n    \"axes[1].semilogy(np.log10(alphas), sse_test, label=\\\"test\\\")\\n\",\n    \"axes[1].legend(loc=0)\\n\",\n    \"\\n\",\n    \"axes[0].set_xlabel(r\\\"${\\\\log_{10}}\\\\alpha$\\\", fontsize=18)\\n\",\n    \"axes[0].set_ylabel(r\\\"coefficients\\\", fontsize=18)\\n\",\n    \"axes[1].set_xlabel(r\\\"${\\\\log_{10}}\\\\alpha$\\\", fontsize=18)\\n\",\n    \"axes[1].set_ylabel(r\\\"sse\\\", fontsize=18)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch15-regression-lasso-vs-alpha.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 38,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"model = linear_model.LassoCV()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 39,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<style>#sk-container-id-4 {color: black;}#sk-container-id-4 pre{padding: 0;}#sk-container-id-4 div.sk-toggleable {background-color: white;}#sk-container-id-4 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-4 label.sk-toggleable__label-arrow:before {content: \\\"▸\\\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-4 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-4 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-4 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \\\"▾\\\";}#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-4 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-4 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-4 div.sk-parallel-item::after {content: \\\"\\\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-serial::before {content: \\\"\\\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-4 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-4 div.sk-item {position: relative;z-index: 1;}#sk-container-id-4 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-4 div.sk-item::before, #sk-container-id-4 div.sk-parallel-item::before {content: \\\"\\\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-4 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-4 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-4 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-4 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-4 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-4 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-4 div.sk-label-container {text-align: center;}#sk-container-id-4 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-4 div.sk-text-repr-fallback {display: none;}</style><div id=\\\"sk-container-id-4\\\" class=\\\"sk-top-container\\\"><div class=\\\"sk-text-repr-fallback\\\"><pre>LassoCV()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\\\"sk-container\\\" hidden><div class=\\\"sk-item\\\"><div class=\\\"sk-estimator sk-toggleable\\\"><input class=\\\"sk-toggleable__control sk-hidden--visually\\\" id=\\\"sk-estimator-id-4\\\" type=\\\"checkbox\\\" checked><label for=\\\"sk-estimator-id-4\\\" class=\\\"sk-toggleable__label sk-toggleable__label-arrow\\\">LassoCV</label><div class=\\\"sk-toggleable__content\\\"><pre>LassoCV()</pre></div></div></div></div></div>\"\n      ],\n      \"text/plain\": [\n       \"LassoCV()\"\n      ]\n     },\n     \"execution_count\": 39,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"model.fit(X_all, y_all)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 40,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.06559238747534717\"\n      ]\n     },\n     \"execution_count\": 40,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"model.alpha_\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 41,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"1.5450589323146602\"\n      ]\n     },\n     \"execution_count\": 41,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"resid_train = y_train - model.predict(X_train)\\n\",\n    \"sse_train = sse(resid_train)\\n\",\n    \"sse_train\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 42,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"1.5321417406215792\"\n      ]\n     },\n     \"execution_count\": 42,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"resid_test = y_test - model.predict(X_test)\\n\",\n    \"sse_test = sse(resid_test)\\n\",\n    \"sse_test\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 43,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(0.9999953221722068, 0.9999950788657098)\"\n      ]\n     },\n     \"execution_count\": 43,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"model.score(X_train, y_train), model.score(X_test, y_test)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 44,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x300 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plot_residuals_and_coeff(resid_train, resid_test, model.coef_)\\n\",\n    \"fig.savefig(\\\"ch15-regression-lasso-cv.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 45,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"model = linear_model.ElasticNetCV()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 46,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<style>#sk-container-id-5 {color: black;}#sk-container-id-5 pre{padding: 0;}#sk-container-id-5 div.sk-toggleable {background-color: white;}#sk-container-id-5 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-5 label.sk-toggleable__label-arrow:before {content: \\\"▸\\\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-5 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-5 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-5 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-5 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-5 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-5 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \\\"▾\\\";}#sk-container-id-5 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-5 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-5 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-5 div.sk-parallel-item::after {content: \\\"\\\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-5 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 div.sk-serial::before {content: \\\"\\\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-5 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-5 div.sk-item {position: relative;z-index: 1;}#sk-container-id-5 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-5 div.sk-item::before, #sk-container-id-5 div.sk-parallel-item::before {content: \\\"\\\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-5 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-5 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-5 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-5 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-5 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-5 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-5 div.sk-label-container {text-align: center;}#sk-container-id-5 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-5 div.sk-text-repr-fallback {display: none;}</style><div id=\\\"sk-container-id-5\\\" class=\\\"sk-top-container\\\"><div class=\\\"sk-text-repr-fallback\\\"><pre>ElasticNetCV()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\\\"sk-container\\\" hidden><div class=\\\"sk-item\\\"><div class=\\\"sk-estimator sk-toggleable\\\"><input class=\\\"sk-toggleable__control sk-hidden--visually\\\" id=\\\"sk-estimator-id-5\\\" type=\\\"checkbox\\\" checked><label for=\\\"sk-estimator-id-5\\\" class=\\\"sk-toggleable__label sk-toggleable__label-arrow\\\">ElasticNetCV</label><div class=\\\"sk-toggleable__content\\\"><pre>ElasticNetCV()</pre></div></div></div></div></div>\"\n      ],\n      \"text/plain\": [\n       \"ElasticNetCV()\"\n      ]\n     },\n     \"execution_count\": 46,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"model.fit(X_all, y_all)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 47,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.13118477495069433\"\n      ]\n     },\n     \"execution_count\": 47,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"model.alpha_\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 48,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.5\"\n      ]\n     },\n     \"execution_count\": 48,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"model.l1_ratio\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 49,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"2183.83917293912\"\n      ]\n     },\n     \"execution_count\": 49,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"resid_train = y_train - model.predict(X_train)\\n\",\n    \"sse_train = sum(resid_train**2)\\n\",\n    \"sse_train\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 50,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"2650.0504463382536\"\n      ]\n     },\n     \"execution_count\": 50,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"resid_test = y_test - model.predict(X_test)\\n\",\n    \"sse_test = sum(resid_test**2)\\n\",\n    \"sse_test\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 51,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(0.9933881981034111, 0.9914882195448783)\"\n      ]\n     },\n     \"execution_count\": 51,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"model.score(X_train, y_train), model.score(X_test, y_test)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 52,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAABKAAAAEcCAYAAADwacwVAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABlpklEQVR4nO3deVhUZfsH8O8M47AIxBKLubwuCeaCK4i5Y+R7mVaoZaW4b4mauyi9LhlqgZhG5oJbLqWGafpqprZYiQu8aa4VivuCIgjKPnN+f/ibyYEBZmVmznw/1+Ulc86Zc+57zsx5Zu7znOdIBEEQQEREREREREREZCZSSwdARERERERERETixgIUERERERERERGZFQtQRERERERERERkVixAERERERERERGRWbEARUREREREREREZsUCFBERERERERERmRULUEREREREREREZFYsQBERERERERERkVmxAEWiJgiCpUOwSXzdiMgemevYJ5ZjqljyICIiIstgAYpE6/Dhw5g5c6ZJ1rVz504EBgbixo0bZn2OqQUGBuLTTz/V6zmmfN2IiGyFuY59aWlpGDNmjPrxjRs3EBgYiJ07d5p8W7qKjIxEZGSkXs9JT0/H22+/baaIiIiIyB7ILB0Akbls2LDBZOvq1q0btm3bBl9fX7M+xxqY8nUjIrIV5jr27dixA+np6erHvr6+2LZtG+rVq2eW7ZnL/v378fvvv1s6DCIiIrJhLEAR6cDLywteXl5mfw4REYmbXC5Hq1atLB0GERERUbXjJXgkSpGRkThx4gROnDiBwMBAHD9+HMePH0dgYCC++uordO/eHS+++CJ+/fVXAE/OUPft2xetWrVCUFAQXnvtNezbt0+9vrKX00VHR2Po0KFITk5Gz5490bx5c7z66qv4+eefjXoOAPz+++8YOHAgWrVqhW7dumHjxo0YOnQooqOjK835xIkTGDBgAFq2bImePXvi6NGj5Za5ceMGZsyYgU6dOqFZs2bo0KEDZsyYgezs7ApfNwC4ePEixo8fj9DQUDRr1gydO3fGhx9+iMLCQn13DRGR1ano2JeTk4M5c+bgxRdfRIsWLfDmm28iJSVF47lHjx7FgAED0Lp1awQHB2PcuHG4fPkygCfH/W+++QY3b95UX3ZX9hK8nTt3omnTpjh9+jQGDBiAFi1aoFu3blizZo3GdjIzMzF58mSEhIQgODgYc+bMwdKlSxEWFlZpbrdu3cL48ePRtm1bdOzYEevXry+3TGFhIZYsWYKXX34ZzZs3R5s2bTBs2DBcuHABAPDpp58iMTERgOal3Q8ePMD8+fPRvXt3NG/eHCEhIYiKirLopedERERkvdgDikRp7ty5mD59uvrv559/HufOnQMALF26FPPnz0dRURFatWqFLVu24MMPP8T48eMxc+ZM5OTkYM2aNZg+fTpatWqF5557Tus2zp49i8zMTEycOBGurq5YtmwZJk6ciCNHjuCZZ54x6DmXLl3C0KFD0bx5cyQkJCA7OxsJCQnIzc3FK6+8UmG+586dw/Dhw9G+fXssW7YMt27dwpQpUzSWKSgowODBg+Hp6Ym5c+fCzc0NaWlp+Oyzz+Do6IgFCxZofd0yMzPVBbHFixdDLpfjp59+wsaNG/Hss89i7Nixeu8fIiJrou3YV1RUhCFDhuD+/fuYPHkyfH19kZycjJEjRyIpKQkdOnTA9evX8e6776Jfv36YPHkyHj58iKVLl2L06NH4/vvvMW7cODx48ADnz59HYmIi6tWrh/z8/HLbVyqVmDRpEoYOHYpJkybh66+/Rnx8PJo0aYLOnTujuLgYQ4YMQX5+PmbPng1XV1esXr0aFy5cgI+PT4V55efnY9CgQZBKpfjggw8gk8mwbNkyXLt2Da1bt1YvN2PGDJw8eRJTp05FvXr1cOXKFSxbtgyTJ0/G/v378cYbb+DOnTv4+uuvsW3bNvj7+0MQBIwZMwYPHz7E1KlT4ePjgwsXLmDZsmWYM2cO1q1bZ/odRURERDaNBSgSpeeffx6urq4AUO5Sh7feegv//ve/1Y+vX7+O4cOHIyoqSj2tTp066Nu3L/73v/9VWIDKy8vDzp071eN4uLi4YNCgQTh27Bh69uxp0HNWrVoFV1dXJCUlwdnZGQDQsGFDvPXWW5Xmu2rVKnh5eeHzzz+HXC4HAHh4eGDy5MnqZa5cuQJ/f38sXrxYvf3Q0FCcOXMGJ06cqPB1O3XqFF544QUsW7ZMPe/FF19ESkoKTp48yQIUEdk8bce+7du34+LFi9i+fTtatmwJAOjSpQsiIyMRHx+P5ORk/PHHHygsLMSYMWPg5+cHAKhVqxYOHz6M/Px81KtXD15eXhqX3WkrQAmCgHHjxuGNN94AALRt2xYHDx7ETz/9hM6dO+Pbb7/F5cuXkZycjObNmwN4cvx+6aWXKs3rm2++wa1bt7B7924EBgYCAIKCghAeHq5epri4GI8fP8Z//vMf9OrVCwAQEhKCx48fY/Hixbh37x78/f3h7++v8frcvXsXzs7OmDlzJtq1awcAaN++PW7cuIGvvvpK9xefiIiI7AYLUGR3VF/CVVSXtuXl5eHKlSu4cuWK+hKLkpKSCtfj5eWlMYis6st5QUGBwc85duwYunbtqi4+AUDr1q1Ru3btSnNKS0tDt27d1MUnAHj55Zfh4OCgfvzCCy9g69atUCqVuH79Oq5cuYK///4bly9fRmlpaYXr7tSpEzp16oSSkhJkZGTgypUr+PPPP/HgwQN4eHhUGhcRka1KSUmBj48PmjVrpnGM7N69Oz7++GM8fPgQLVu2hKOjI/r3749evXqha9euaNeuHYKCgvTe3tM9kuRyOby8vNTFqmPHjqFu3brq4hMAuLq6onv37urLBbVJTU1F3bp1Ndq9WrVqaZyYkcvlWLt2LYAnl/ldvXoVly9fxo8//gig4nbQz88PX3zxBYAnl/ldvXoVly5dwv/+979K204iIiKyXyxAkd3x9vbWeHzt2jXMmTMHx44dg0wmQ8OGDdVf1gVBqHA9TxeJAEAikQB4cimFoc958OBBufgAVHqJBQA8fPiw3IDnMpkMnp6eGtPWr1+PVatWITs7G88++yyaNWsGZ2dn5OXlVbhupVKJhIQEbNmyBfn5+ahVqxaCgoLg6OhYaUxERLYsJycH9+7dQ7NmzbTOv3fvHp5//nls3rwZq1evxvbt27Fhwwa4u7vjnXfewXvvvQepVPehNp2cnDQeS6VSdRuUnZ2ttW149tlnK12ntrYBeNKm3L9/X/34l19+wcKFC3H58mXUrFkTgYGBqFmzJoDK28Fvv/0WCQkJuH37Njw8PNCkSZNyeRARERGpsABFdk2pVGL06NGoUaMGtm/fjqZNm0ImkyE9PR3ffvtttcfj7++PrKysctOzsrLQoEGDCp/n4eGh8WMCePKj4eHDh+rHe/bsweLFizF16lT0799f/aPkvffew5kzZypc9+rVq7FhwwbMmzcPPXv2hJubGwCgf//+euVGRGRL3NzcUL9+fcTHx2udX6dOHQBPLmlLTExEcXEx0tLSsG3bNqxcuRKBgYHqS9qM5efnh6tXr5abrq29eJqnp6fW5+Xk5Kj/vnbtGqKiotCjRw+sWrVK3Ut3y5Yt+OWXXypcd2pqKmbOnIlBgwZhxIgR6h69H3/8MdLS0nRJi4iIiOwM74JHoqXLmefs7GxkZGSgf//+CAoKgkz2pCZ75MgRAJX3ZjKH4OBgHDlyBEVFReppFy5cqPKOQh06dMCRI0c0Lv/75ZdfNC6DSEtLg5ubG0aPHq0uPj1+/BhpaWkaeZZ93dLS0vD888+jf//+6uLT3bt38ddff1X760NEZC5lj30hISG4ffs2vL290aJFC/W/lJQUJCUlwcHBARs2bEBYWBiKi4shl8vRoUMHLFiwAABw+/Ztres1REhICK5fv66+Kx0AFBUVqduqioSGhuLGjRsaJxkePHiAU6dOqR+fPXsWRUVFGDNmjMYl4qrik6oHVNk8fv/9dyiVSkycOFFdfFIoFOo7sLJ9ICIiorJYgCLRcnd3R0ZGBlJSUjR6Aj3N29sbtWvXxpYtW3DgwAGkpKQgLi4OCQkJACofz8kcxo4di7y8PIwcORI//vgjdu/ejaioKEgkEvXletpERUUhPz8fI0aMwA8//IDk5GTMnj0bNWrUUC8TFBSEvLw8LF68GMePH8eePXswcOBA3L9/XyPPsq9bUFAQ/vzzT6xevRonTpzAjh07MHDgQBQXF1f760NEZC5lj319+/bFc889h2HDhuGbb77BsWPHkJCQgKVLl8LX1xc1atRAaGgoMjMzERUVhZ9//hm//vorZs2aBblcju7du6vXe//+ffz888/IzMw0KLbevXujUaNGiIqKwu7du/Hjjz9i5MiRyMrKqrRteO211xAQEIDx48dj165dOHToEEaNGqVRHGrWrBlkMhni4uLw22+/4ccff8SECRPw008/Afhn0HR3d3cAwN69e3H9+nX1OFcffPABjh07hu+//x7Dhg3DxYsXNZ5HREREpMICFInWwIEDUaNGDYwaNarSs8QrVqyAn58foqOjMWnSJJw6dQqff/45GjZsiNTU1GqMGPjXv/6FtWvXoqioCBMnTsTSpUsxatQo+Pj4qMfj0KZ+/frYvHkzHBwcMHnyZHz22WeYOXMmnnnmGfUyERERiIqKwv79+zFq1CgsX74c7dq1wwcffICcnBykp6cDKP+6jRkzBm+//Ta++OILjBo1CmvXrsVrr72G8ePH4++//66wuEdEZEvKHvtcXFywZcsWtG3bFnFxcRg1ahS+//57TJ06FbNmzQIANGnSBCtXrsSjR48wZcoUjB8/Hjk5OVi3bh0aNmwIAOjbty9q166NqKgo7Nq1y6DYZDIZ1q5di6ZNm2LevHmYMWMGAgICEB4eDhcXlwqfJ5fLsXHjRgQHByM2NhazZ89Ghw4d1MUx4Em7s2TJEty9exfvvvsu5syZAwDYtGkTJBKJuh18+eWX0aJFC0RHR2Pt2rVo37495syZg99//x2jRo3CokWL8NxzzyExMREAeBkeERERlSMRKhtdkoiqVUpKCmrUqKG+pTXwZBDZjh07YsaMGRg8eLAFoyMiIktQ3bH05Zdf1ujx1K9fP9SqVUtd9CEiIiKyZhyEnMiKnDt3DsuXL8eUKVPQrFkzZGdnY926dXBzc0Pv3r0tHR4REVlAfn4+3nvvPbzzzjsIDw+HQqHA3r17ce7cOUyfPt3S4RERERHphD2giKyIUqnEypUrsXv3bty+fRsuLi4ICQnB1KlT8a9//cvS4RERkYV89913WLt2LS5dugRBENC0aVO8++676NSpk6VDIyIiItIJC1BERERERERERGRWHISciIiIiIiIiIjMigUoIiIiIiIiIiIyKxagiIiIiIiIiIjIrFiAIiIiIiIiIiIis5JZOgBrJQgClErTjM8ulUpMti5rxjzFhXmKS0V5SqUSSCQSC0Rk+9hO6I95igvzFBe2E6ZnbDth7+89sWGe4mEPOQK656lPO8ECVAWUSgEPHjw2ej0ymRSenjWRm5uP0lKlCSKzTsxTXJinuFSWp5dXTTg48IeFIdhO6Id5igvzFBe2E+ZhTDvB9564ME/xsIccAf3y1Ked4CV4RERERERERERkVixAERERERERERGRWbEARUREREREREREZmUTBaicnBzMmTMHXbp0QZs2bfD2228jNTVVPf/ChQsYNGgQWrVqhW7dumHt2rUWjJaIiIiIiIiIiJ5mEwWoKVOm4PTp00hISMDXX3+NZs2aYcSIEbh06RKys7MxbNgw1K9fH8nJyZgwYQKWLVuG5ORkS4dNRERERERERESwgbvgXb16Fb/99hu+/PJLtGnTBgAQExODI0eOYO/evXBycoJcLse8efMgk8nQqFEjXL16FWvWrEG/fv0sHD0REREREREREVl9DyhPT0+sXr0azZs3V0+TSCQQBAEPHz5EamoqgoODIZP9U0sLDQ1FRkYGsrKyLBEykc2RSiWQyaTqfw4OTw4NDg7/TJNKeQtmIqKyePwkIltS9phlyWOUVCrROGbyWEkkflbfA8rd3R1du3bVmLZ//35cu3YNnTp1wtKlSxEQEKAx39fXFwBw69YteHt7G7xtmcz4+tzTB1UxY562SyKRwM3NSWtO7u7O6r8VCiXy8gohCEJ1hmdWYtyf2thLnkTVTSqVwMPDRafjZ05OPpRK8Rw/icj2VHTMssQxqmws7u7OPFYS2QGrL0CVlZaWhtmzZ6NHjx4ICwvDokWLIJfLNZZxdHQEABQVFRm8HalUAk/PmkbF+rSnv4iKGfO0XfFb0nDjbp7WeXX83DBtYFt4eLhUc1TVQ4z7Uxt7yZOouqjO3uty/JRKJfxRRUQWpe2YZaljVNlYeKwksg82VYA6dOgQpk2bhpYtWyIhIQEA4OTkhOLiYo3lVIUnFxfDfywrlQJyc/MND/b/OThI4e7ujNzcAigUSqPXZ62Yp+1S5XTjbh4u3XxY6bJiyhsQ5/7UprI83d2d2TOKyEi6HD+JiKyFNR2zrCkWIjI/mylAbd68GbGxsQgPD0d8fLy615O/vz8yMzM1llU99vPzM2qbpaWm+0GqUChNuj5rxTzFTax5izWvsuwlTyIiIiIisj42cdp769atWLBgAQYOHIhPPvlE45K74OBgpKWlQaFQqKelpKSgQYMGRo3/RERERERERCQG1jQAPdkvqy9AZWRkYOHChQgPD8eYMWOQlZWFe/fu4d69e8jLy0O/fv3w6NEjxMTEID09HTt37sTGjRsxZswYS4dOREREREREZFGqQd89PWtq/PPwcGERiqqV1V+Cd+DAAZSUlODgwYM4ePCgxryIiAgsXrwYSUlJiI2NRUREBHx8fDBjxgxERERYKGIiMoZUKqmyIVQqBQ5QSURERESkA2sagJ7sm9UXoMaOHYuxY8dWukxQUBC2bdtWTRERkblUdkvzp/E2vURERERE+uGg72RpVl+AIiL7wVuaExERERERiRMLUERkdXh2hvSVk5ODhIQE/PTTT3j06BECAwMxdepUtGvXDgBw4cIFxMbG4uzZs/Dw8EBkZCRGjBhh4aiJiIiIiOyH1Q9CTkREVJUpU6bg9OnTSEhIwNdff41mzZphxIgRuHTpErKzszFs2DDUr18fycnJmDBhApYtW4bk5GRLh01EREREZDfYA4qIiGza1atX8dtvv+HLL79EmzZtAAAxMTE4cuQI9u7dCycnJ8jlcsybNw8ymQyNGjXC1atXsWbNGvTr18/C0RMRERER2Qf2gCIiIpvm6emJ1atXo3nz5uppEokEgiDg4cOHSE1NRXBwMGSyf865hIaGIiMjA1lZWZYImYiIiIjI7rAARURENs3d3R1du3aFXC5XT9u/fz+uXbuGTp064c6dO/D399d4jq+vLwDg1q1b1RorEREREZG94iV4REQkKmlpaZg9ezZ69OiBsLAwLFq0SKM4BQCOjo4AgKKiIqO2JZMZfx7HwUGq8b9YiTFPfXIRU96AOPenNsyTiIjIdFiAIiIi0Th06BCmTZuGli1bIiEhAQDg5OSE4uJijeVUhScXFxeDtyWVSuDpWdPwYMtwd3c22bqsmb3kWZZY8xZrXmUxTyIiIuOxAEVERKKwefNmxMbGIjw8HPHx8epeT/7+/sjMzNRYVvXYz8/P4O0plQJyc/MND/j/OThI4e7ujNzcAigUSqPXZ63EmKcqJ12IKW9AnPtTG+b5pCjFnlFERGQKLEAREZHN27p1KxYsWIDIyEjMnj0bUuk/P5aCg4Px1VdfQaFQwMHBAQCQkpKCBg0awNvb26jtlpaa7gepQqE06fqslb3kWZZY8xZrXmUxTyIiIuPxdAYREdm0jIwMLFy4EOHh4RgzZgyysrJw79493Lt3D3l5eejXrx8ePXqEmJgYpKenY+fOndi4cSPGjBlj6dCJiIiIiOwGe0AREZFNO3DgAEpKSnDw4EEcPHhQY15ERAQWL16MpKQkxMbGIiIiAj4+PpgxYwYiIiIsFDERERERkf1hAYqIiGza2LFjMXbs2EqXCQoKwrZt26opIiIiIiIiKouX4BERERERERERkVmxAEVERERERERERGbFAhQREREREdmNjIwMtG7dGjt37lRPu3DhAgYNGoRWrVqhW7duWLt2rQUjJCISJxagiIiIiIjILpSUlGDatGnIz89XT8vOzsawYcNQv359JCcnY8KECVi2bBmSk5MtGCkRkfhwEHIiIiIiIrILn376KWrWrKkxbfv27ZDL5Zg3bx5kMhkaNWqEq1evYs2aNejXr5+FIiUiEh/2gCIiIiIiItE7efIktm3bho8++khjempqKoKDgyGT/XNuPjQ0FBkZGcjKyqruMImIRIs9oIiIiIiISNRyc3MxY8YMvP/++6hVq5bGvDt37iAgIEBjmq+vLwDg1q1b8Pb2Nni7Mplh5/sdHKQa/5tCZesy5XZ0UdH2qjuO6mKO/WnI9vWdZ+h2xLofAfvIETBfnixAERERERGRqM2bNw+tWrVCnz59ys0rLCyEXC7XmObo6AgAKCoqMnibUqkEnp41q16wEu7uzkY939q2UxVricNcrDE/c8RkjXmamj3kCJg+TxagiIiIiIhItHbt2oXU1FTs2bNH63wnJycUFxdrTFMVnlxcXAzerlIpIDc3v+oFtXBwkMLd3Rm5uQVQKJQGx6BtndqYcjvGxFLdcVQXc+xPQ7avjTneY2Ldj4B95Ajol6e7u7POPaVYgCIiIiIiItFKTk5GVlYWunXrpjF97ty5WLt2LZ577jlkZmZqzFM99vPzM2rbpaXG/UBVKJRGr8OatmMrcZiLNeZnjpisMU9Ts4ccAdPnyQIUERGRSEilEkilkkqXUSoFKJVCNUVERGR58fHxKCws1Jj28ssvY+LEiejVqxf++9//4quvvoJCoYCDgwMAICUlBQ0aNDBq/CciItLEAhQREZEISKUSeHi4VNkFWqFQIicnn0UoIrIbFfVi8vb2Ru3atdGvXz8kJSUhJiYGI0eOxB9//IGNGzdi/vz51RwpEZG4sQBFREQkAlKpBA4OUsRvScONu3lal6nj54ZpA9tCKpWwAEVE9P+8vb2RlJSE2NhYREREwMfHBzNmzEBERISlQyMiEhUWoIiIiETkxt08XLr50NJhEBFZtT///FPjcVBQELZt22ahaIiI7INuQ5UTEREREREREREZiAUoIiIiIiIiIiIyKxagiIiIiIiIiIjIrDgGFBERERGRlZFKJZBKJZUuo1QKvKEAERHZDBagiIiIiIisiFQqgYeHCxwcKr9YQaFQIicnn0UoIiKyCSxAERERERFZEalUAgcHKeK3pOHG3Tyty9Txc8O0gW0hlUpYgCIiIpvAAhQRERERkRW6cTcPl24+tHQYREREJsFByImIiIiIiIiIyKxYgCIiIiIiIiIiIrOyuQLUihUrEBkZqTHtwoULGDRoEFq1aoVu3bph7dq1FoqOiIiIzE0qlUAmk1b6r6q7hxERERFR9bKpMaA2bNiA5cuXIzg4WD0tOzsbw4YNw0svvYT58+fj1KlTmD9/Pjw8PNCvXz8LRktERESmxruDEREREdkmmyhA3b17FzExMUhLS0ODBg005m3fvh1yuRzz5s2DTCZDo0aNcPXqVaxZs4YFKCIiIpHh3cGIiIiIbJNNXIJ37tw5PPPMM/j222/RsmVLjXmpqakIDg6GTPZPLS00NBQZGRnIysqq7lCJiIioGqjuDqbtX0WFKSIiIiKyHJvoARUWFoawsDCt8+7cuYOAgACNab6+vgCAW7duwdvb2+DtymTG1+dUlwhUdamApUkkEp3Gy1AqBQhC+bPJtpKnscSYpz65mDvv6o5FjPtTG3vJk4iIiIiIrJdNFKAqU1hYCLlcrjHN0dERAFBUVGTweqVSCTw9axoV29Pc3Z1Nti5zUCoFnQtQlS1n7Xmair3kWZY15W3KWKwpL3OylzyJiIiIiMj62HwBysnJCcXFxRrTVIUnFxcXg9erVArIzc03KjbgSY8Dd3dn5OYWQKFQGr0+c1DFWNl4GsA/Y2poy8UW8jQFMeapykkX5s67umMR4/7UprI83d2d2TOKiIiIiIjMzuYLUP7+/sjMzNSYpnrs5+dn1LpLS033g1ShUJp0feagGk+jKpXlYgt5moK95FmWNeVtylisKS9zspc8V6xYgZSUFGzatEk97cKFC4iNjcXZs2fh4eGByMhIjBgxwoJREhERERHZF5s/7R0cHIy0tDQoFAr1tJSUFDRo0MCo8Z+IiMj2bNiwAcuXL9eYlp2djWHDhqF+/fpITk7GhAkTsGzZMiQnJ1soSiIiIiIi+2PzBah+/frh0aNHiImJQXp6Onbu3ImNGzdizJgxlg6NiIiqyd27dzFy5EgsW7YMDRo00Ji3fft2yOVyzJs3D40aNUK/fv0wdOhQrFmzxkLREhERERHZH5svQHl7eyMpKQkZGRmIiIhAYmIiZsyYgYiICEuHRkRE1eTcuXN45pln8O2336Jly5Ya81JTUxEcHAyZ7J+rzkNDQ5GRkYGsrKzqDpWIiHR08uRJPH78WOu83Nxc/Pe//63miIiIyBg2NwbU4sWLy00LCgrCtm3bLBANERFZg7CwMISFhWmdd+fOHQQEBGhM8/X1BQDcunXLqMu1ZTLjz+OoBoE3djB4fZ5viYHnxZinNcVS3Uy1Pw0hkUiqvHOvUilAEASjt2WpPKv7vWXJ/VmZwYMHY9u2bQgKCio37/z585g1axZeeeUVC0RGRESGsLkCFBERkT4KCwshl8s1pjk6OgL4566phpBKJfD0rGlUbE/T9Q6QtrYtS27bknmWZU2xmJIl8lIqBZ0KUFUtow9r3n+mjM0a8pw5cyZu374NABAEAfPmzYOrq2u55a5cuYJnn322usMjIiIjsABFRESi5uTkhOLiYo1pqsKTi4uLwetVKgXk5uYbFRvwpMeBu7szcnMLoFAYfpdC1Xp0Yey2DCHGPK0plupmqv1p6Hbjt6Thxt08rcvU8XPDtIFtTRKbpfPUhbnzdHd3rtaeUT179sT69es1ppXtzebg4IBWrVph4MCB1RYXEREZjwUoIiISNX9/f2RmZmpMUz328/Mzat2lpab7QapQKE26PmvZliW3bck8y7KmWEzJUnnduJuHSzcfVrqMKWOz5v0ntjyfvqQ6MjJSfQMJIiKyfdZ1oTcREZGJBQcHIy0tDQqFQj0tJSUFDRo0MGr8JyIiMq9Nmzax+EREJCLsAUVERKLWr18/JCUlISYmBiNHjsQff/yBjRs3Yv78+ZYOjYiIKlFQUICVK1fixx9/REFBAZRKzd5ZEokEhw4dslB0RESkLxagiGyEVKrbXX+USuPv+kMkJt7e3khKSkJsbCwiIiLg4+ODGTNmICIiwtKhERFRJWJjY5GcnIyQkBC88MILkEp58QYRkS1jAYrIBkilEnh4uFQ5CKhCoUROTj6LUGTXFi9eXG5aUFAQtm3bZoFoiIjIUN9//z0mT56M0aNHWzoUIiIyARagiGyAVCqBg4NUp7v+SKUSFqCIiIjI5pWWliIoKMjSYRARkYnoXIBKTEzUeaUSiQRRUVEGBUREFdPlrj9ElsJ2goiITKlTp044cuQIQkNDLR0KERGZAAtQJlZ2nB7VJVNPXzrFcXqISIzYThARkSn16tULc+fOxYMHD9CyZUs4OzuXW+b111+v/sCIiMggOhegLl68aM44RKGycXrc3f9pMDlODxGJEdsJIiIypUmTJgEAdu3ahV27dpWbL5FIWIAiIrIhZhkDKi8vD25ubuZYtVXjOD1ERLqx13aCiIh0d/jwYUuHQEREJmRQAaq4uBgbNmzAiRMnUFJSAkF4UkgRBAH5+flIT0/H6dOnTRqoLeE4PURk79hOVIyXahMR6aZ27doaj4uKiiCXyyGRSCp4BhERWTODClAff/wxNm/ejICAADx48ACOjo7w8vLCX3/9hZKSEowfP97UcRIRkQ1hO6EdL9UmItLP5cuXsXz5chw9ehSPHj3Cjh07sGPHDjRq1AiRkZGWDo+IiPRgUAHq+++/x9ChQxEdHY1Vq1bh/PnzWLZsGe7evYtBgwZBqVSaOk4iIrtVtsdMRayp1wzbCe14qTYRke4uXLiAgQMHwtvbG3369MHWrVsBADVq1MDChQvh6uqKiIgIC0dJRES6Kn8KVgcPHjxA165dAQCBgYE4c+YMAMDPzw+jR4/Gvn37TBchkQ2RSiWQyaSV/tOlkECkouox4+lZs8p/Hh4uVvP+YjtROdWl2tr+VVSYIiKyNx999BGaN2+O/fv3Y9asWerLuWNiYtC/f3988cUXFo6QiIj0YVAPKDc3NxQXFwMA6tevj9u3b+PRo0dwdXVVPyayN5VdWvM0XlpD+tClxwxgfb1m2E4QWTdb7FlJ9ufUqVNISEiATCaDQqHQmNerVy/s3bvXQpEREZEhDCpAtWvXDps2bUJwcDDq1KkDZ2dnHDx4EBEREfj999/h6upq6jiJrB4vrSFzsrWbG7CdILJeup4wAf45aaJ6ngoHz6fq4OjoiMLCQq3zcnJyIJfLqzkiIiIyhkEFqPHjx2PgwIEYM2YMNm3ahHfeeQdz5szBpk2b8Oeff+Ltt982dZxENsPWCgVE5sB2gsh66duz0sFBCjc3Jw6eT9WuY8eOWL58Odq0aQMfHx8AgEQiwePHj7Fu3Tq8+OKLFo6QiMh2aesNbe6TSQYVoAIDA7F//3789ddfAICpU6fC1dUV//vf/xAWFobRo0ebNEgx06ULPM8oEpGtYTtBZds39pixPrqeMGEPX7KU6dOnY8CAAfj3v/+NJk2aQCKRYPHixcjIyIAgCEhISLB0iERENqmi3tBP93w2B4MKUADg4+OjcSZi7NixJgvKXnDMICISM7YT9quy9o09ZmwXe/hSdatVqxZ2796NDRs24NixY6hXrx7y8/PRu3dvDBs2DL6+vpYOkYjIJmk7ufT0ySRzMagAtWvXriqXef311w1ZtV3hGUUiEiu2E6aja09Za8L2jewFe7Kbn6enJyZPnmzpMIiIRKm6Ty4ZVICKjo7WOl0ikcDBwQEODg78YaEHnlEkIrFhO2Ea+vSUzcvTPlCvJbF9IzFjT3bz2LVrF7p27QpPT0+ezCAiEhmDClCHDx8uNy0/Px9paWlYvXo1PvvsM6MDIyIi28V2wjT07UlERNWHPf3MIzo6Gtu3b4enp2eFJzNUJBIJC1BERDbEoAJU7dq1tU5v3LgxSkpKsGDBAmzdutWowIiIyHaxnTAt9iQisl78fJrW4cOH1eMHajuZQUREtqvyPsMGCAgIwLlz50y9WiIiEgm2E0REVJHatWtDLper/65Zsyb+/vtv1K5dG7Vr14ZSqcThw4fh5uZW4ckOIiKyTiYtQBUXF2P79u3w9vY25WqJiEgk2E4QEZGu0tPT0bt3b3zwwQfqaTdv3kRcXBz69u2LGzduWDA6IiLSl0GX4IWFhUEi0RxrQqlUIjs7G0VFRZg5c6ZJgiMiItvEdoL0ZYt3+yMi8/r4449Ru3ZtJCYmqqeFhobi559/xrhx4xAXF4dly5ZZMEIiItKHQQWokJCQcj8sAMDV1RXdu3fHiy++aHRgRERku9hOkD5s/W5/RGQep06dQnx8vHpMKBUvLy+MGTMGs2bNslBkRERkCIMKUIsXLzZ1HEREZle2h4Xqx+7TP3qVSoG9LEyA7QTpg3f7IyJtJBIJHj9+rHVecXExSkpKdF5XTk4OEhIS8NNPP+HRo0cIDAzE1KlT0a5dOwDAhQsXEBsbi7Nnz8LDwwORkZEYMWKESfIgIqInDCpAERHZmsp6WLi7O6v/ViiUyMnJZxGKyAJ4NzEielr79u2xYsUKtG/fHl5eXurpDx48wMqVK9G+fXud1zVlyhRkZWUhISEBXl5e2Lp1K0aMGIGdO3fCy8sLw4YNw0svvYT58+fj1KlTmD9/Pjw8PNCvXz9zpEZEZJd0LkA1adJE6+UUFblw4YJBARERmYO+PSxYgNIf2wkiIjKl6dOno3///ujRowdatWoFLy8vZGdn4/fff4ejoyMSEhJ0Ws/Vq1fx22+/4csvv0SbNm0AADExMThy5Aj27t0LJycnyOVyzJs3DzKZDI0aNcLVq1exZs0aFqCIiExI5wJUVFSU+odFUVER1q9fj/r166Nnz57w8fFBTk4OfvjhB/z111949913zRYwEZEx2MPCfNhOEJGKroPKs9hPlalbty727t2LdevW4X//+x9u3boFNzc3DBgwAEOHDoW/v79O6/H09MTq1avRvHlz9TSJRAJBEPDw4UOcPXsWwcHBkMn++WkUGhqKVatWISsri3duJSIyEZ0LUBMmTFD/PXv2bHTr1g2ffvqpxtnusWPHYvr06Th37pxpoyQiIqvHdoKIAP0Gleclz6ahS8EPsM2in4+Pj9F3TnV3d0fXrl01pu3fvx/Xrl1Dp06dsHTpUgQEBGjM9/X1BQDcunWLBSiyuLKfcVv8LBMBBo4BtX//fixfvlzrpRavvfaaxo8QIiKyP2wniOwXL3muXhKJBB4ezlUW/ADbKPrt2rULXbt2haenJ3bt2lXl8q+//rre20hLS8Ps2bPRo0cPhIWFYdGiRZDL5RrLODo6AnjSo9cYMlnV+0UbbTdKMVZl6zLldnRR0faqO47qYsz+lEgkcHNz0niu6q6wgqDbZ7m69r053rfWRiw56vqeMHWeBhWgatasiStXrqBz587l5p0/fx7PPPOM0YHpS6lUIjExETt27EBubi7atm2LuXPn4l//+le1x0JEZO+ssZ0gourFS56rhy4FP8B2in7R0dHYvn07PD09ER0dXemyEolE7wLUoUOHMG3aNLRs2VI9hpSTkxOKi4s1llMVnlxcXPRa/9OkUgk8PWsa/HxA80Yp5lRd26mKtcRhLsbkp/qMqz7LHh6GvzdNFVN1rtPaiDnHp3MzdZ4GFaBeeeUVJCQkQCaTISwsDF5eXsjKysJ3332Hzz77DKNGjTJpkLpYsWIFvvrqKyxatAh+fn6Ii4vDqFGjsHfv3nJnNIiIyLyssZ3giQoiEjOxFPwOHDiA5557DgBw+PBhk6578+bNiI2NRXh4OOLj49W/Efz9/ZGZmamxrOqxn5+fwdtTKgXk5uYb9FwHBync3Z2Rm1sAhUJpcAza1qmNKbdjTCzVHUd1MWZ/qp5b9jOuz7qqa9+b431rbcSSY1XvCQA65+nurlsvXMDAAtTUqVNx+/ZtzJ8/Hx988IF6uiAIePPNNxEVFWXIag1WXFyMdevWYfr06erru5cuXYrOnTvj4MGDeOWVV6o1HiIie2dt7QTAExVERLbgzTffxGeffYZ27dohMTER48aNQ926dY1e79atW7FgwQJERkZi9uzZkEr/+bEUHByMr776CgqFAg4ODgCAlJQUNGjQwOjxn0pLjfuBqlAojV6HNW3HVuIwF1PmZ6p1meM1F/t+BMSd49MFJ1PnaVABSi6XY/ny5fj777+RmpqK3NxceHp6IjQ0FPXq1TNZcLq6ePEiHj9+jNDQUPU0d3d3NG3aFCdPnmQBigxWdsA/bdf8chBAovKsrZ3giQoiIttQVFSE9PR0tGvXDt988w3efvttowtQGRkZWLhwIcLDwzFmzBhkZWWp5zk5OaFfv35ISkpCTEwMRo4ciT/++AMbN27E/PnzjU2HiIieYlABSqVx48Zo3LixqWIx2J07dwAAtWrV0pju6+uL27dvWyIkEoHK7uLzdHdF1YCeRFSetbQTPFFBRGQbOnTogHnz5qmLPwMGDKhwWYlEgvPnz1e5zgMHDqCkpAQHDx7EwYMHNeZFRERg8eLFSEpKQmxsLCIiIuDj44MZM2YgIiLCuGSIiEiDzgWowYMHY+7cuWjUqBEGDx5c6bISiQQbN240OjhdFRQ8uUZR290rHj40/Fp4fe9aoSpU1PFzq3AZ1bynixq6Li+RVH2LXaVSUN8NQdflVctUFkdVsaj+rlHDQZ2bIbEIgmC2PHVdt2p51aCeXx38E/eytReYfDxd8FZ4IGrUcFBPM8f+1Pe9pW+e+qwbMN/+tJc89Vm3IZ/Psqrrbh3W3E7wRAURkW2Ii4vD7t27kZ2djcTERPTr1w/+/v5GrXPs2LEYO3ZspcsEBQVh27ZtRm2HiIgqp3MB6ulbPFZ1u0ddbwdpKk5OTgCeXGKh+ht40oXX2dmwUdsNvWuFUilg2sC2VS6j6kGjz/JP/xitbFnVMvosr0scusTi6uqksayhsZgzT30KFkqlgLfCA6tctrr2pynX/fT6DXnfmnN/2kue5vp8VsTcd+uw5nbCHk5UWEORVbW8IbHouryt52mLhW1z7k9rOiGj7TWv7ASbOWIxZN22dKJCF5MnT8aMGTPQuHFjHD9+HIMHD0ZAQIClwyIiIhPQuQC1adMmrX9bA9UZ7czMTI2xRTIzM9GkSROD1mnoXSu0fXFxdXXCo0eF6nGCDP2y6O7uXOktdlW35Hx61Hpdl9f3h7y5Ynn0qBCurk4WW3fZ9Zd9XSy1PxUKpUnXbUyeqjsmmGN/2nqeuvSWM/fnU1thp7K7dehz14qqWHM7YQ8nKlxdnSxeZC27PPM0fyzVUdg29DW31RMy+p5gs3Seuu6fp2OpiDXcVvzYsWPIyspC48aNkZqaisLCQkuHREREJmLUGFCPHz9GzZpPvnzv378fd+/eRffu3av9ltZNmjSBq6srjh8/ri5A5ebm4vz58xg0aJDB6zXFaO+qs+MlJQqj1qdajy632H36B6auy+sTmzljURUBLL1u1frLvi6W2p/m2j8VrV+XPM2xP201z9JSJRQKZZW95RQKJUpKFOofF+Z4XaprXbqylnbCHk5UGHLJqy0W8G05T31iycsrhIuLHEDleQqCgJycAr1PbOhb2LaWE2zmPFFh6ZMmhq5b3557ljxRoYvnnnsOc+fORZs2bSAIAlasWAFPT0+ty0okEixcuLDaYiMiIuMYVIDKyMjAmDFj0KtXL0yaNAlLly7FqlWrADy5q9C6devQtm3VZ2FMRS6XY9CgQYiPj4eXlxdq166NuLg4+Pv7Izw8vNriICL79OQHYL5OPxR0/dFn66ytnbCHExWGsrUCvqGsKU/dCtsKvY4r5jyxoY0YT8hYy0kTS97a2xpuK75gwQJ89NFHOHHiBCQSCc6ePVvu8mkViUT87SkRkZgYVICKj4+Hg4MDevTogZKSEnz55Zfo1asXPvjgA0RHR+OTTz6p9ssvJk6ciNLSUrz//vsoLCxEcHAw1q5dW2GDRURkSqofgfSEtbUTPFFBtojHFbJHISEhSE5OBvDk5MGKFSsQFBRk4aiIiMgUDCpAnTx5ErGxsWjRogVSUlKQl5eHAQMGwNXVFW+99RYmTJhg6jir5ODggOnTp2P69OnVvm0iItJkje0ET1QQEdmWw4cPw9fXV/24qKgIcrmcPZ+IiGyUQQWokpISPPPMMwCAn3/+Gc7OzupLKRQKBWQyo4aWIiIiG2eN7QRPVBCRpelyVzv6R+3atXH58mUsX74cR48exaNHj7Bjxw7s2LEDjRo1QmRkpKVDJCIiPRj0CyAwMBDff/896tevj3379qFTp06QyWQoKSnBli1beKtUIiI7x3aCrA1/+JMlKZUCFApllXeqUyiUvOzyKRcuXMDAgQPh7e2NPn36YOvWrQCAGjVqYOHChXB1dUVERISFoyQiIl0ZVICaOHEixo0bhy1btkAul2PUqFEAgJ49e+L+/ftYuXKlSYMkceCXfyL7wXaCrAV/+JM1UCr1u1kFPfHRRx+hefPmWLduHQBgy5YtAICYmBgUFhbiiy++YAGKiMiGGFSAevHFF7Fnzx6cOXMGLVu2RO3atQEAQ4YMQWhoKAIDK78VOdkXfvknsj9sJ8ha6PPD3x7uUGmt7OEkFYtL+jt16hQSEhIgk8mgUCg05vXq1Qt79+61UGRERGQIgwfhqFu3LurWrYu8vDxcunQJdevWxaBBg+Dg4GDK+EgE+OWfyD6xnSBroesPf7ZB1Y8nqagyjo6OKCws1DovJyeHN5EgIrIxBhegjh8/jvj4eJw9exYSiQQ7duxAUlIS/Pz8EB0dbcoYSQT45Z9slT2clTcXthNEVBVemkaV6dixI5YvX442bdrAx8cHACCRSPD48WOsW7cOL774ooUjJCIifRhUgEpJScGoUaPQunVrTJs2DfHx8QCAF154AZ988gn8/PwwbNgwkwZKRFSdeFbeOGwnyJZVVVxm8dm0WFyiikyfPh0DBgzAv//9bzRp0gQSiQSLFy9GRkYGBEFAQkKCpUMkIiI9GFSA+uSTT9CjRw8sW7YMpaWliIuLAwCMHj1afXtU/rAgsiz+gDIOz8obh+0E2SJdC88Ai89E1aFWrVrYvXs3NmzYgGPHjqFevXrIz89H7969MWzYMPj6+lo6RCIi0oNBBagLFy4gKioKwJNusE/r2LEjNm7caHxkRGQQ/oAyHRaXDMd2gmyRroVn1bI8PhCZn6enJyZPnmzpMIiIyAQMKkC5ubnh3r17Wufdvn0bbm7sWUFkKfwBRdaA7QTZKh4XiazLgwcPsH79ehw/fhy5ubnw9PREu3btMHToUHh7e1s6PCIi0oPUkCf16NEDS5cuxZkzZ9TTJBIJ7ty5g5UrV6Jbt26mio+IDKBUCigtVVb5jz+yyFzYThARkbHu3LmDvn37YsOGDXB0dETTpk0hk8mwfv16vP7667h7966lQyQiIj0Y1ANq6tSpOH36NN588008++yzAIApU6bgzp07qFWrFqZMmWLSIMlwvIMXEVkC2wkiIjJWXFwcHBwcsG/fPtStW1c9/fr16xg+fDiWLl2KxYsXWzBCEjOpVFLuigL2kiUyjkEFqKVLl2Lu3LlIT0/HsWPHkJOTAzc3N0RGRqJv375wdnY2dZykJ97Bi4gsie0EEREZ69dff8Xs2bM1ik8AULduXURFReHjjz+2UGQkdlKpBB4eLnBw0LxgSKFQIicnn7+fiAxkUAFqz5496NmzJ9588028+eabpo6JTIB38CIiS2I7QUS2ir3HrYdCoYCnp6fWeV5eXnj06FE1R0T2QiqVwMFBivgtabhxNw/Ak8//tIFtIZVK7OL3U9keYPzdSKZgUAGqRYsW+Pnnn9GhQwdTx0MmxIMEEVkK2wkisjXsPW59AgMDsXv3bnTp0qXcvF27diEgIMACUZE9uXE3D5duPrR0GNVOWw8w9v4iUzCoABUYGIjNmzfj+++/x/PPP1/uDhQSiQQLFy40SYBERGR72E4Qka0RhPK9xx0cpHB3d0ZubgEUCiUAnuCrTuPGjcOIESOQk5ODPn364Nlnn8X9+/exZ88eHD16FMuXL7d0iESiVLYHmL31/iLzMagAdfDgQfj6+gIA0tPTkZ6erjFfIqn69u9EZD94OYP9YTtBRLaoouKSQvHk7rFUvTp27IiPP/4YH3/8MX777Tf1dB8fHyxatAjh4eEWjI5I/Oy1BxiZj0EFqB9++MHUcRCRCPFyBvvFdoKIiEzh5s2bCAwMxMaNG/Hw4UNcvHgRy5YtQ05OjqVDIyIiPRlUgCIi0oW2yxm04eUMREREVFZSUhISExMxePBgNGrUCADw3HPP4dq1a1iyZAmcnZ0xYMAAC0dJRKbCgc/FjwUoIjIrNhxERERkiO3bt2Py5MkYOXKkepq/vz+io6Ph5eWFL774ggUoIpHgwOf2QVr1IkRERERERNXr7t27aNasmdZ5LVq0wI0bN6o5IiIyl6cHPp+U8BPit6TBwUFa5ZUUZFtYgCIiIiIiIqtTt25dHD16VOu848ePw9/fv5ojIiJzUw18fuNunqVDITPgJXhERERERGR13n77bSxcuBClpaV46aWX4O3tjQcPHuDQoUP44osvMG3aNEuHSEREemABioiIiKga1fFzM2gekb0ZOHAg7ty5g/Xr12PDhg3q6Q4ODhgyZAiGDh1qsdiIiEh/LEARERERVQOlUoBCocS0gW0rXU6hUHLAVaL/N3XqVIwePRqnTp1CTk4O3N3dERQUBE9PT0uHRkREemIBioiIiKgaKJUCcnLyqxxQlXcPJdLk5uaGzp07WzoMIqqAVCpRDyIOAA4OUrZlpBULUERkEF5CQkSkP34hJyISJ1URRsVejvdSqQQeHi7q4hMAuLs7Q6FQIicn3y5eA2tX9r0JABKJZe4uyAIUEemFl5AQEREREf1DWxHGXgowqp5P8VvS1Heuq+PnhmkD20IqlYg+f2un7b0JPHl/WgILUESkF15CQkRERET0j7JFGHsswNy4m4dLNx9aOgybpa2Xkil+T1VWILQEFqCISG8sLhERERERaWIRhgxRWS+l3NyCcssb8lvMWt6bLEARkU2rarwpjkdFRERERETWqrJeSu7uzloLU7Z6eScLUERkk3QdiwrgeFT2JCYmBgqFAosXL9aYnpKSgri4OKSnp8Pf3x/jxo3D66+/bpkgiYiIiIjK0NZLSWzja7EARUQ2SdexqFTL2uIBmnSnUCgQHx+Pr7/+GhERERrzLl26hDFjxmDEiBGIj4/Hjz/+iNmzZ8PPzw8dOnSwUMREVF3YU5aIiGyZtVw+ZwosQBGRzWJhiYAnBaZZs2bh+vXreO6558rN37hxI5o0aYL33nsPANCwYUOcP38eSUlJLEARiRh7yhLpTiKRQCbTvMyH37OIyNRYgCIiIpt24sQJvPDCC/j8888xadKkcvNTU1Px0ksvaUwLDQ1FbGwsBEGARFJ1Lzoisj3sKUukOzc3J1GNM2NO2op1tvxdQmz5kHVjAYqIiGza22+/Xen8O3fuwN/fX2Oar68vCgoKkJ2dDS8vL3OGR0QWxMISkW7ENs6MOVVUrLNVYsuHrJtNFaA4uCwRkX25ceMGevToUeH8X3/9FT4+PpWuo7CwEHK5XGOa6nFxcbFR8ZU9Y2gI1Ze+sl/+zE2f7enSg6SqdVsqz+pmC/vTFLFxf4qLveRJlbOWcWakUolGu2PuQnLZ7QGV9wCqqFhnq8SWD1k3myhAcXBZIiL75Ofnh3379lU4X5feS46OjuUKTarHzs7OBscmlUrg6VnT4OeX5e5ueCzm5urqpNfyleVizXmakjXnacrYrDlPU2KeRNVDIpHAw0PztvPmvBRQKpXAw8NF7x5AxhbrtBW9LNlj01qKjyR+Vl+A4uCyRET2q0aNGmjUqJFR66hVqxYyMzM1pmVmZsLFxQVubobf/UqpFJCbm29UbMCTM4/u7s7IzS2o1i7vqu3q4tGjQr2KUNpysVSe1c0W9qcpYuP+FJfK8nR3d2bPKKo2UqlEo0eOuS8FLLs9wPw9gCorenHMLeNZW3GPNFl9AYqDyxIRkTHatWuHEydOaExLSUlBmzZtIJUa96OqtNR0P0gVCqVJ12dK+n5pqywXa87TlKw5T1PGZs15mhLzJKpe1d0jpzq3V1nRi2NuGccWinv6XvIpNlZfgOLgskREZIzIyEhEREQgPj4eERER+Pnnn3HgwAEkJSVZOjQiIiKyU7zszfQsVdyraNwybcUmbb1KxdzDtiyLFqA4uKz+6zH1soYwZyyGrruOX8WX0ajmWdMguta0Pyvbpti73HOwYPvQuHFjrFixAnFxcdi4cSPq1KmDuLg4XqZNREREpAeJRFLuN7I19t6p7h5tZXtdKRRK5OYWlCs2KRRKux/03aIFKA4uax7WNICkOWNRrVupFKr80CqVglUOoqtL4cyS+9Oa3kvmZM15crBg/WzatEnr9C5duqBLly7VHA0RERGZgrbChyHj+pTtkWKNxRNr5ubmZNe9d7SpaNwyBwep1umAffd+s2gBioPL6r8eXZh7oExzxmLIuiWS8l0by1J1gdTnB7g5B9GVSCRwc3OqsnCmUCiRl1cIQaje65U56Gr1bFcX5h4smIPLEhERkbWrqPChz7g+FfVUId3Ze++dylRUVLLnYpM2Vj8GVFU4uKxlt1UVQ2PRpWeQvuvW95JKcw+im5OTr1PhzJKD5VnTe8mcrDlPDhZMRERUPZRKJRITE7Fjxw7k5uaibdu2mDt3Lv71r39ZOjSrYom7jJliXJ+KeqqQflhQIWPYfAGKg8uKi1IpQKFQ6tQzyBruYmAMSxeXyPJ0KbQSERFR9VixYgW++uorLFq0CH5+foiLi8OoUaOwd+/ecmPO2itL3mXMVIUPFlDEwd7vJmerbL4AxcFlxUWpFGyiZxCRMeyp0EpERGQLiouLsW7dOkyfPh1du3YFACxduhSdO3fGwYMH8corr1g4QutgqbuMET2tskKoPbOFopxNFaA4uKx9YHGJxI6FViIiIuty8eJFPH78GKGhoepp7u7uaNq0KU6ePGkVBaiKbvVuCexFRJZUWSHUXtlKUc6mClDES3aIxILFJSIiIutx584dAE9ucPQ0X19f3L592xIhaahoAG1zX/Zmq7QV60h8WAj9h60U5ViAshG8ZIeIiIiIyDwKCgoAoNxYT46Ojnj40PAfuPreBAd4csmM6nk1ajjAwUEKieTJQNxfHfwT97Lz4ePpgrfCA1GjhoP6bs8qqt8C5S/FefL/0yetq/pbJnPQKHpVto6yy+oTi+p/1XJlp+uzTUEAXF0dyxXr8vOL9Fq3MX+r/n+y7zT3p+ru1rrmU9FrpVq3ufa9tm3q+7eu74mn38NltymTSat8TQyJpaLXqqrp2j6b2uLW971sbD5VXWmnz7qfXq+p75YtEar7/u42QqFQ4sGDx0avRyaTwtOzJrKzHxt99ylt13SWVR29KlQ5TUr4qcKKc6Paz+CTKd1MkrepqOJ+uiqsjapSrC12U+5Pa8Y8xaWyPL28apq8YbEX1thOGLJdXY7lubkFcHd3rnTZp5fn8dO696cpYuP+FBe2E8CBAwcwceJEnD59Gk5OTurp7733HoqLi/H555/rvU5BEAwaf6VsQUk1DdD+o13XApQpppt73ebKx1KvldjyMee6K8qnot+/un5OrC0fc27TVOuuquZgDPaAsiG8ZMc4uvYiA9iTjIiIiMieqC69y8zMRL169dTTMzMz0aRJE4PWqVQKyM3N1+s5Dg5SuLs7a72MJi+vEE/3HVD9UHx6+acvudFlHar1ANp7zbi5lV+3tnWUXfbpbVYWi0QCuLo64dGjQpSWKtVFO1179VS0TW2vlT7rNmURQtv+0fc1rO59b2iBQyqVqPenIAg6vSdU03JzC8xWsKnovVzRa6Xv9Op+v+nz2TRkm4IgqI9FubkFVY4j5e7urPOJChagyG7oOvCzalkWoIiIiIjsQ5MmTeDq6orjx4+rC1C5ubk4f/48Bg0aZPB6De05p21sm9JShdbepRUtr+s6KlLRuvWNo7JYVEpKdI9Ll23qk6c5meo1rO59byhVTCUl/+xbXd8TCoXSbPHp+1rpO72632/6vK+MZer9wgIU2RUWloiIiIioLLlcjkGDBiE+Ph5eXl6oXbs24uLi4O/vj/DwcEuHR1QhbWMMEVkrFqCIiIiIiMjuTZw4EaWlpXj//fdRWFiI4OBgrF27ttzA5LaiooGGSRy0DS+iUCitbsw2vg/paSxAERERERGR3XNwcMD06dMxffp0S4eit7K9YLSNe2roGKfsYWOdtA0vIpFI4OHhYsGo/lHR+LvWWCSj6sMCFBERERERkQ2qqBdMbm6B1mX1KUBVtO7K1sHeLtWr7D5VjQ1kDSoaf9eaimRU/ViAIiIiIiIiskHafuSbasxTfdbN3i6kjbb3iyWLZOzNZ3ksQBEREREREdkoc95kR9d1s7cLWTNbGS9LX7ZYUGMBioiIiIiIiIxibb1diFSsfbwsfRlyeay1YAGKiIiIiIiIyExssaeK2FjzeFn6Muelt+bGAhQRERERERGRidlyTxWybrZScCqLBSgiIiIiIiIiE1P1VKlRwwHu7s7IzS1ASYnC7IUD3o2QrBULUERERHassi+m/NJKRGQZLCCIh6oXFGD+3k+V3Y3QFnvLWCN+No3DAhQREZEdquhLaln80kpEVH1YQCBjVHQ3Qlu9XMva8LNpPBagiIiI7FBFX1K1LVfVMkREZBraLtlS/cDlj1zSBd8r5pOXVwipVMLPphFYgCIiIrJTun5pYgGKiKj6lL1kq7RUaeGIiOyPtkvtBEGAQvHkexM/m4ZhAYqIiIiIiIjICnCMIcur7FI7npQzDgtQRERERERERBbE8b+sR15eIQRB8zVX9RpnAco4LEARERERERERWRAHELcegiDw8jozYQGKiIiIiIiIyMJYbCKxYwGKiIiIiIiIzIbjGlFZqvcB3w/2hQUoIiIiIiIiMrmqxjUyxXg6LG7ZFm3vCY5zZT9YgCIiIpt2+/ZtxMXF4fjx4yguLkZQUBCio6PRuHFj9TIpKSmIi4tDeno6/P39MW7cOLz++uuWC5qIiMgOVDWukTEFKA7abZu0vSd46aH9YAGKDFbZGQaefSCi6lBcXIzRo0fDy8sLq1atgqOjIz777DMMGTIEe/fuhZeXFy5duoQxY8ZgxIgRiI+Px48//ojZs2fDz88PHTp0sHQKNqWqYzuP/ZbHtpmIrI25igsctNt2WdM+Yg+66sUCFOmtorMNZfHsAxGZW2pqKv766y8cOXIEfn5+AICPP/4YISEh+OGHH9C/f39s3LgRTZo0wXvvvQcAaNiwIc6fP4+kpCQWoHSk63Ef4LHfUtg2E5E9sqZCBtkW9qCzDBagSG/azjY4OEjh7u6M3NwCKBRK9XL88BKROTVu3BirV69WF59UBEHAw4cPATwpUr300ksa80NDQxEbGwtBECCRGD/+hNhVdJa5omV57K9+uu4j7h8iIiL2oLMUFqDIIBV9MBUKJUpLlRaIiIjskY+PD7p27aox7YsvvkBRURE6duwIALhz5w78/f01lvH19UVBQQGys7Ph5eVl8PZlMqnBz1VxcJBq/G/rpFKJ1iKI2PKsiLXnWdH+0Ze152kqzJOISLxYbKp+LEAREZHVunHjBnr06FHh/F9//RU+Pj7qx99//z2WLl2KyMhINGnSBABQWFgIuVyu8TzV4+LiYoNjk0ol8PSsafDzy3J3dzbZuqwZ8xQX5iku9pInERFZBgtQRERktfz8/LBv374K5z/de+nLL7/EggUL0KtXL8yaNUs93dHRsVyhSfXY2dnwH1tKpYDc3HyDn6+i7RJmMWKe4sI8xaWyPN3dndkzioiITIIFKCIislo1atRAo0aNqlwuPj4ea9asQWRkJGJiYjTGdapVqxYyMzM1ls/MzISLiwvc3Iy724kpLzm2l0uYmae4ME9xsZc8iYjIMliAIiIimxYXF4ekpCTMmDEDI0aMKDe/Xbt2OHHihMa0lJQUtGnTBlIpz+oTEREREVUHfvMmIiKbdfz4cSQlJSEyMhKvvvoq7t27p/73+PFjAEBkZCT++OMPxMfH49KlS1i3bh0OHDiAkSNHWjh6IiIiIiL7IREEgcO+ayEIphsR38FBKupxA1SYp7gwT3GpKE+pVKJxuZqt+c9//oPt27drnTd+/HhMmDABAHDkyBHExcXhypUrqFOnDiZMmIBevXoZtW22E/pjnuLCPMVFrO2EJRnbTtj7e09smKd42EOOgO556tNOsABFRERERERERERmxUvwiIiIiIiIiIjIrFiAIiIiIiIiIiIis2IBioiIiIiIiIiIzIoFKCIiIiIiIiIiMisWoIiIiIiIiIiIyKxYgCIiIiIiIiIiIrNiAYqIiIiIiIiIiMyKBSgiIiIiIiIiIjIrFqCIiIiIiIiIiMisWIAiIiIiIiIiIiKzYgGKiIiIiIiIiIjMigUoIiIiIiIiIiIyKxagzESpVGL58uXo3LkzWrZsieHDh+Pq1auWDsvkbt68icDAwHL/duzYYenQTGbFihWIjIzUmHbhwgUMGjQIrVq1Qrdu3bB27VoLRWc62vKcNWtWuX3bpUsXC0VouJycHMyZMwddunRBmzZt8PbbbyM1NVU9Xwz7s6ocxbIvxYTtBNsJW8N2wrb3J9sJ2yH29kHMx0x7OJYAQFZWFqZPn47Q0FC0bt0ao0ePRnp6unq+WPJUycjIQOvWrbFz5071NLHkWNX3NJPnKZBZfPrpp0KHDh2En376Sbhw4YIwfPhwITw8XCgqKrJ0aCZ1+PBhoUWLFsLdu3eFzMxM9b+CggJLh2YS69evFwIDA4VBgwappz148EBo3769EBMTI6Snpwtff/210KJFC+Hrr7+2YKTG0ZanIAhCRESEkJCQoLFvs7KyLBSl4YYNGya8+uqrwsmTJ4VLly4JCxYsEIKCgoT09HTR7M/KchQE8exLMWE7wXbClrCdsP39yXbCdoi5fRD7MdMejiWCIAhvvPGGMGDAAOGPP/4Q0tPThQkTJggdO3YU8vPzRZWnIAhCcXGx0LdvXyEgIEBITk4WBEFc79nKvqeZI08WoMygqKhIaN26tbB161b1tIcPHwpBQUHC3r17LRiZ6X3++efCq6++aukwTO7OnTvCiBEjhFatWgn//ve/NRrJlStXCp07dxZKSkrU05YsWSL07NnTEqEapbI8S0tLhRYtWggHDx60YITGu3LlihAQECCkpaWppymVSiE8PFz45JNPRLE/q8pRLPtSTNhO2D62E2wnbGl/sp2wHWJtH+zhmGkPxxJBeFJ8mTx5svDXX3+pp124cEEICAgQTp8+LZo8VZYsWSJERkZqFKDElGNl39PMkScvwTODixcv4vHjxwgNDVVPc3d3R9OmTXHy5EkLRmZ6f/75J55//nlLh2Fy586dwzPPPINvv/0WLVu21JiXmpqK4OBgyGQy9bTQ0FBkZGQgKyurukM1SmV5XrlyBUVFRWjUqJGFojMNT09PrF69Gs2bN1dPk0gkEAQBDx8+FMX+rCpHsexLMWE7YfvYTrCdsKX9yXbCdoi1fbCHY6Y9HEuAJ3kmJCSgcePGAID79+9j7dq18Pf3x/PPPy+aPAHg5MmT2LZtGz766CON6WLKsbLvaebIkwUoM7hz5w4AoFatWhrTfX19cfv2bUuEZDZ//fUXsrKy8M477+DFF1/E22+/jV9++cXSYRktLCwMS5YsQd26dcvNu3PnDvz9/TWm+fr6AgBu3bpVLfGZSmV5/vXXX5BIJNi4cSPCwsLw0ksvYcGCBcjLy7NApIZzd3dH165dIZfL1dP279+Pa9euoVOnTqLYn1XlKJZ9KSZsJ9hO2Aq2E2wnqHqJtX2wh2OmPRxLyvrPf/6Djh074rvvvkNsbCxcXFxEk2dubi5mzJiB999/v9znUSw5ApV/TzNHnixAmUFBQQEAaBx8AMDR0RFFRUWWCMksiouLceXKFTx69AiTJk3C6tWr0aJFC4waNQopKSmWDs9sCgsLte5bAKLav3///TekUilq166NlStXYubMmfj5558xbtw4KJVKS4dnsLS0NMyePRs9evRAWFiYKPdn2RzFui9tGdsJthNiINZjC9sJ8exLW2Qv7cPTxPgZA+zjWDJkyBAkJyfj1VdfRVRUFM6dOyeaPOfNm4dWrVqhT58+5eaJJceqvqeZI09Z1YuQvpycnAA82aGqv4EnO8nZ2dlSYZmcXC7HyZMnIZPJ1G/M5s2b49KlS1i7di06dOhg4QjNw8nJCcXFxRrTVB9AFxcXS4RkFhMmTMDQoUPh7u4OAAgICICPjw8GDBiAM2fOlOs+bQsOHTqEadOmoWXLlkhISAAgvv2pLUcx7ktbx3aC7YQYiPHYwnZCPPvSVtlL+/A0sX3GAPs4lgBQX7q1YMECnDp1Cps3bxZFnrt27UJqair27Nmjdb4YcgSq/p5mjjzZA8oMVF30MjMzNaZnZmaW68Jm61xcXMpVRQMCAnD37l0LRWR+/v7+WvctAPj5+VkiJLOQSCTqL6IqAQEBAP7pHm5LNm/ejAkTJqBLly5Ys2aN+kudmPZnRTmKbV+KAdsJthNiILZjC9sJ8exLW2ZP7YOKmD5jgPiPJVlZWdi7dy8UCoV6mlQqRaNGjdTvU1vPMzk5GVlZWejWrRtat26N1q1bAwDmzp2LV155RRQ5qlT2Pc0cebIAZQZNmjSBq6srjh8/rp6Wm5uL8+fPo127dhaMzLQuXryI1q1bIzU1VWP62bNnRTngrEpwcDDS0tI0DropKSlo0KABvL29LRiZaU2dOhUjRozQmHbmzBkAsLn9u3XrVixYsAADBw7EJ598onGQFcv+rCxHMe1LsWA7wXZCDMR0bGE7IZ59aevspX14mlg+Y4B9HEsyMzMxdepUnDhxQj2tpKQE58+fR6NGjUSRZ3x8PPbt24ddu3ap/wHAxIkTsXr1alHkCFT9Pc0seRp8/zyqVEJCghASEiIcOnRIuHDhgjB8+HDh5ZdfFoqKiiwdmskoFArhjTfeEHr37i2cPHlSSE9PFxYuXCg0b95cuHjxoqXDM5mZM2dq3Cr2/v37QnBwsDBz5kzh77//FpKTk4UWLVoIO3futGCUxiub5w8//CAEBgYKK1asEK5evSr89NNPQlhYmDBlyhQLRqm/y5cvC82aNROioqKEzMxMjX+5ubmi2J9V5SiWfSk2bCfYTtgathO2uz/ZTtgWsbcPYj1m2sOxRBAEQalUCsOHDxd69uwpnDx5Uvjzzz+FyZMnC8HBwcLNmzdFk2dZAQEBQnJysiAI4nnPVvU9zRx5SgRBEIypmpF2CoUCCQkJ2LlzJwoLCxEcHIw5c+agTp06lg7NpB48eID4+HgcOXIEubm5aNq0KaZNmyaqMzTR0dG4efMmNm3apJ72xx9/IDY2FufPn4ePjw+GDx+OQYMGWTBK42nL88CBA1i5ciUuX74MNzc39OnTB5MmTVIPPmcLVq5ciaVLl2qdFxERgcWLF9v8/tQlRzHsS7FhO8F2wtawnbDd/cl2wraIvX0Q6zHTHo4lKnl5eViyZAkOHTqEvLw8tGvXDtHR0WjcuDEAcezPsgIDA7Fo0SL07dsXgHhyrOp7mqnzZAGKiIiIiIiIiIjMimNAERERERERERGRWbEARUREREREREREZsUCFBERERERERERmRULUEREREREREREZFYsQBERERERERERkVmxAEVERERERERERGbFAhQREREREREREZkVC1BEREREREREIiQIgqVDIFJjAYrIRG7cuIHAwEDs3LnT0qEYLSwsDNHR0ZYOg4hIVNhOEBHZvuPHj6Nnz55o3rw5RowYgUePHuHdd99Fy5YtERwcjCtXruh1rDdn23D48GHMnDnT5Os1tcDAQHz66aeWDoOqgczSARARERERERHZgo8++ghKpRKrV6+Gt7c3du3ahR9++AFz5sxB48aN8dxzz2Hbtm2oV6+eTuvz9fXVa3l9bNiwweTrJDIGC1BEREREREREOsjJyUFwcDBefPFFAMDBgwcBAO+88w4kEgkAoFWrVjqvTy6X67U8kS3jJXhkM86dO4chQ4agbdu2aN26NYYOHYrTp09rLLNjxw707dsXrVq1QlBQEF577TXs27dPPX/nzp1o0aIF0tLS0K9fP7Ro0QI9e/bEDz/8gMuXL2PIkCFo2bIlwsPD8d///lfjeYGBgTh9+jQiIiIQFBSEPn36aKxbm1u3bmHKlCkICQlBy5YtMWTIEJw/f77S53z66acIDw/HTz/9hD59+qB58+bo2bMnvvnmG/Uyx48fR2BgII4fP67x3MjISERGRqofh4WFITExEYsWLUL79u3RunVrTJ06FY8fP8bq1avRpUsXtG3bFhMmTEB2drbGukpKSvDhhx8iODgYwcHBmDlzJh48eKCxTGpqKgYNGoSWLVsiJCSk3DI7d+5E06ZNsWPHDnTq1AldunTB33//XWn+RESGYjvBdoKI7JMgCNiyZQteeeUVBAUFITw8HGvWrNEY/+i3337DO++8g7Zt26J9+/aYOnUqbt++rbGeyo7Jqkvlbt68iV27diEwMBCRkZHqS8eaNGmC6OhorZfUXbt2DRMnTkRISAiCg4MxatQo9bFO2/JVtQ2q5+zfvx8TJ05E69atERwcjJiYGDx+/BjAk+P9iRMncOLECa3tgUp0dDSGDh2K5ORk9aWFr776Kn7++Wf1Mqo27saNGxrPLXs5dmBgIL788ktER0ejbdu2CAkJwYcffojCwkJ89NFHCA0NRfv27RETE4OioiKNdT169AjTpk1D69at0aFDB3z44YcoKCjQWObQoUPo27cvWrRogY4dO+LDDz9Efn6+er6qfUxMTET79u3x0ksvlWu7yLJYgCKb8OjRI4wcORKenp5Yvnw5li5dioKCAowYMQJ5eXkAgC1btmDOnDno0aMHVq1ahbi4ONSoUQPTp0/HrVu31OsqLS3FlClT8NZbb2HFihVwdHTEtGnTMHbsWHTr1g3Lli2Dj48PZs6ciTt37mjEMWbMGPTo0QOJiYlo0KABpkyZgsOHD2uN+cGDB3jrrbdw7tw5/Oc//8GSJUugVCoxcOBAXLp0qdJ87927hw8++ACDBw/G6tWrUadOHURHR1f5PG3Wr1+PW7duYenSpRg7diz27t2Lfv364bfffsOCBQswYcIEHD58GMuXL9d43v79+3H27FksXrwYM2bMwE8//YRx48ap5588eRJDhw6Fk5MTPvnkE8yePRsnTpzA4MGDUVhYqF5OoVBg5cqV+PDDDzFp0iQ8//zzeudARFQVthNsJ4jIfiUkJCA2NhZdu3bF559/jjfeeANLly7FihUrAAC7d+/G8OHD4efnh4SEBMyaNQu///47BgwYgKysLABVH5NVl8r5+Piga9eu2LZtG2JiYtC/f38AwLZt2zSOgSqZmZl44403cPnyZcydOxfx8fF4+PAhhg4dWq5or0scT5s7dy5q166NFStWYOTIkUhOTsbKlSvV85o2bYqmTZti27ZtaNasWYWv39mzZ7F27VpMnDgRn332GWQyGSZOnIiHDx/qvS/i4+Mhl8uRmJiI1157DZs2bcLrr7+O27dvIy4uDm+99Ra+/vprbNq0SeN5mzZtwqNHj/DJJ59gzJgx2LFjB95//331/D179iAqKgoNGzbEZ599hvHjx+Pbb7/FuHHjNAqNt27dwsGDB5GQkIBJkybB09NT7xzIjAQiG/D7778LAQEBQmpqqnra1atXhY8++ki4deuWIAiCsGjRIuHjjz/WeN7Zs2eFgIAAYc+ePYIgCEJycrIQEBAgbN26Vb3M3r17hYCAAOGTTz5RTztz5owQEBAgHDx4UON5n376qXoZpVIpvPbaa0Lfvn0FQRCE69evCwEBAUJycrIgCIKQkJAgtGjRQrhx44b6OUVFRUKPHj2ECRMmVJjr8uXLhYCAAOHo0aPqaTdv3hQCAgKEtWvXCoIgCMeOHRMCAgKEY8eOaTx30KBBwqBBg9SPu3fvLnTu3FkoKSlRT+vZs6fQunVrITc3Vz1tzJgxwquvvqrxvPbt2wt5eXnqaQcPHhQCAgKEX375RRAEQRgwYIDQu3dvobS0VL3M5cuXhRdeeEHYvHmzxuu2ffv2CvMlIjIFthNsJ4jIPj18+FBo1qyZsHDhQo3pixYtEoYNGyYoFAqhY8eOwtChQzXmX716VWjWrJm6XdD1mNy9e3dh5syZ6seqY7JK2WP94sWLhaCgICEzM1O9zN27d4Vu3boJhw8fNqhtUD1n2rRpGjlFRkYKvXv3Vj8ue8zXZubMmUJAQIBw9epV9bQTJ04IAQEBwnfffScIwj/H6uvXr2s8t+xrERAQILzxxhvqxyUlJUKrVq2EsLAwjXamd+/ewrvvvqvxvF69egkKhUI9bcOGDUJgYKCQnp4uKJVKoUuXLsKIESM0tn/06FEhICBA+PHHHwVB+Gdf/Pbbb5XmTJbDHlBkExo3bgwvLy+8++67mDt3Ln744Qf4+PhgxowZqFWrFoAn3UenT5+OvLw8nDlzBnv27MGWLVsAPLlM4GmtW7dW//3ss88C0LxW28PDAwCQm5ur8bzXXntN/bdEIkF4eDjOnTtXrnsoAKSkpOCFF16An58fSktLUVpaCqlUii5duuDo0aNV5vx0PP7+/gCg0cVUV0FBQZDJ/hnuzcfHBw0bNoSbm5t6moeHh7qHgErXrl3h6uqqfhwWFoYaNWrg6NGjKCgowOnTp9G1a1cIgqDOr27dumjUqBF+++03jXUFBAToHTcRkT7YTrCdICL7dOrUKZSUlCA8PFxjenR0NNatW4eMjAzcu3cPffr00Zhfr149tG7dWn1pmrHH5IqkpaWhVatW8PHxUU/z9fXFjz/+iLCwsHLL6xNH2bGj/P39DWoHvLy8NAZBV7Up2tquqjzdfspkMnh6eqJ58+Ya7Yy2NqVnz56QSv8pT7z88ssQBAHHjh3D5cuXcefOHYSFhalfk9LSUgQHB8PV1ZVtig3hIORkE2rWrIktW7bg888/x759+/DVV1/B2dkZr776KmJiYuDo6Ihr165hzpw5OHbsGGQyGRo2bIjAwEAA0OiWCUDjC7OKk5NTlXH4+flpPPb29oYgCOUOoMCTAQqvXr1aYXfXgoICODs7V7itp+epDsZl89CFtlwr266K6gfX0zF4eHggNzcXubm5UCqVWLNmDdasWVPuuY6OjhqPvb299YyaiEg/bCfYThCRfcrJyQHwpIhS2fyyxyzVNNXYSsYekyuLr06dOnotX1UcKmXjkUqlBrUDZdejGkxdqVTqvS5TtSmqdiE3N1e9D+fPn4/58+eXe25mZmal6yLrwQIU2YyGDRsiLi4OCoUCf/zxB3bv3o0vv/wSderUwciRIzF69GjUqFED27dvR9OmTSGTyZCeno5vv/3WZDFkZ2dr/Li4f/8+HBwc4OHhUe7A5+bmhpCQEMyYMUPruuRyucFxVNQoPH78GDVr1jR4vU8re1ZfoVAgOzsb3t7eqFmzJiQSCYYOHYpXXnml3HMNaZyJiIzFduIfbCeIyF64u7sDeDJ2UsOGDdXTb9++jatXr6rHALp//3655967d08931zHZDc3N61jPaWkpKBOnTrq4/XTy5urbTBUZW2KqZRtU+7duwfgSSFKtY9nzJiBkJCQcs995plnTBYHmRcvwSOb8N133yE0NBT37t2Dg4MDWrdujXnz5sHd3R137txBdnY2MjIy0L9/f41LCY4cOQLAsOq9Nj/88IP6b0EQ8P3336Nt27ZaG4KQkBBkZGSgQYMGaNGihfrft99+ix07dsDBwcHgOFRnFp6+c8fDhw8NGny2IkePHkVpaan68YEDB1BaWor27dvD1dUVTZs2xeXLlzVya9y4MRITEyu8ywYRkbmwndDEdoKI7EVQUBBq1KhR7oYPGzduxHvvvYcGDRrAx8cHe/bs0Zh//fp1nDp1Cm3atAFgvmNyu3btcOrUKfVg58CTYtmoUaO03qTClHE8fUmbMbS1KZcvX1b3TDKFX375RePxf//7X0gkEoSEhKBhw4bw9vbGjRs3NF4Tf39/LFmypMq7x5L1YA8osglt2rSBUqlEVFQURo8ejZo1a2L//v3Iy8vDyy+/DG9vb9SuXRtbtmyBv78/3N3d8euvv2Ljxo0ADLt+WZu4uDgUFxejQYMG2LFjBy5duqTeRllDhw7F7t27MXToUAwfPhyenp7Yt28ftm/fjlmzZhkVR2BgIGrVqoXExES4ublBKpVi9erVJj2jfP/+fUyYMAGRkZG4cuUKEhIS0LFjR3To0AEAMGXKFIwePRpTp07Fq6++CoVCgXXr1uH06dN49913TRYHEZEu2E5oYjtBRPbCy8sLgwcPxsaNGyGXyxEaGoozZ85g8+bNmDJlCuRyOaZMmYJZs2Zh8uTJeP3115GdnY3ExEQ888wzGDZsGADzHZOHDh2KXbt2YcSIERg7diwcHR2xatUq+Pr64vXXX8ejR4/KLW+qONzd3fH7778jJSUFTZs2NbinUGhoKJydnbF48WJMmjQJjx8/RmJiono8RFM4e/YsYmJi0Lt3b5w5cwbLly9H//79Ub9+fQDA5MmTMWfOHDg4OKB79+7Izc3FihUrcPfu3Urv8EfWhQUosgm+vr5ISkrCsmXLEBMTg4KCAjRu3BiffvopQkNDAQArVqxAbGwsoqOjIZfL8fzzz+Pzzz/HwoULkZqaisjISKPjmDdvHlatWoXr16+jadOmWLduHdq1a6d1WT8/P3z11VdYsmQJ5s2bh6KiItSvXx+xsbHq27UaysHBAcuXL8fChQsxZcoUPPvssxgyZAguX76MjIwMo9at8uabb6KwsBBRUVGQy+Xo06cPpk+fru6C26lTJ6xduxaJiYmYOHEiatSogWbNmmH9+vXlBkQkIjI3thOa2E4QkT2ZPn06nn32WXz55ZdYt24d6tSpg9mzZ+Odd94BAPTt2xc1a9bEqlWrEBUVBVdXV3Tu3BlTpkxRDw5urmNyrVq1sHXrVsTFxWHWrFmQy+UICQlBXFwcPDw8yhWgTBnHwIEDcfbsWYwaNQqLFi0qNxC7rtzc3LB8+XIsWbIEUVFRqF27NsaPH49du3YZtD5t3n33XZw/fx5jx46Fm5sbRo4cifHjx6vnv/HGG6hZsyaSkpKwbds2uLi4oE2bNoiPj0fdunVNFgeZl0QwZJQyIjuzc+dOzJo1C4cPH9ZrEEEiIrIPbCeIiIiIKscxoIiIiIiIiIiIyKxYgCIiIiIiIiIiIrPiJXhERERERERERGRW7AFFRERERERERERmxQIUERERERERERGZFQtQRERERERERERkVixAERERERERERGRWbEARUREREREREREZsUCFBERERERERERmRULUEREREREREREZFYsQBERERERERERkVmxAEVERERERERERGb1fw0CXcYE6wtCAAAAAElFTkSuQmCC\",\n      \"text/plain\": [\n       \"<Figure size 1200x300 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plot_residuals_and_coeff(resid_train, resid_test, model.coef_)\\n\",\n    \"fig.savefig(\\\"ch15-regression-elastic-net-cv.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Classification\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 53,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"iris = datasets.load_iris()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 54,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"sklearn.utils._bunch.Bunch\"\n      ]\n     },\n     \"execution_count\": 54,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(iris)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 55,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array(['setosa', 'versicolor', 'virginica'], dtype='<U10')\"\n      ]\n     },\n     \"execution_count\": 55,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"iris.target_names\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 56,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['sepal length (cm)',\\n\",\n       \" 'sepal width (cm)',\\n\",\n       \" 'petal length (cm)',\\n\",\n       \" 'petal width (cm)']\"\n      ]\n     },\n     \"execution_count\": 56,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"iris.feature_names\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 57,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(150, 4)\"\n      ]\n     },\n     \"execution_count\": 57,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"iris.data.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 58,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(150,)\"\n      ]\n     },\n     \"execution_count\": 58,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"iris.target.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 59,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# print(iris['DESCR'])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 60,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"X_train, X_test, y_train, y_test = model_selection.train_test_split(\\n\",\n    \"    iris.data, iris.target, train_size=0.7, random_state=0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 61,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"classifier = linear_model.LogisticRegression()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 62,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/Users/rob/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\\n\",\n      \"STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\\n\",\n      \"\\n\",\n      \"Increase the number of iterations (max_iter) or scale the data as shown in:\\n\",\n      \"    https://scikit-learn.org/stable/modules/preprocessing.html\\n\",\n      \"Please also refer to the documentation for alternative solver options:\\n\",\n      \"    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\\n\",\n      \"  n_iter_i = _check_optimize_result(\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<style>#sk-container-id-6 {color: black;}#sk-container-id-6 pre{padding: 0;}#sk-container-id-6 div.sk-toggleable {background-color: white;}#sk-container-id-6 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-6 label.sk-toggleable__label-arrow:before {content: \\\"▸\\\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-6 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-6 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-6 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-6 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-6 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-6 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \\\"▾\\\";}#sk-container-id-6 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-6 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-6 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-6 div.sk-parallel-item::after {content: \\\"\\\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-6 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 div.sk-serial::before {content: \\\"\\\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-6 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-6 div.sk-item {position: relative;z-index: 1;}#sk-container-id-6 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-6 div.sk-item::before, #sk-container-id-6 div.sk-parallel-item::before {content: \\\"\\\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-6 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-6 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-6 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-6 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-6 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-6 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-6 div.sk-label-container {text-align: center;}#sk-container-id-6 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-6 div.sk-text-repr-fallback {display: none;}</style><div id=\\\"sk-container-id-6\\\" class=\\\"sk-top-container\\\"><div class=\\\"sk-text-repr-fallback\\\"><pre>LogisticRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\\\"sk-container\\\" hidden><div class=\\\"sk-item\\\"><div class=\\\"sk-estimator sk-toggleable\\\"><input class=\\\"sk-toggleable__control sk-hidden--visually\\\" id=\\\"sk-estimator-id-6\\\" type=\\\"checkbox\\\" checked><label for=\\\"sk-estimator-id-6\\\" class=\\\"sk-toggleable__label sk-toggleable__label-arrow\\\">LogisticRegression</label><div class=\\\"sk-toggleable__content\\\"><pre>LogisticRegression()</pre></div></div></div></div></div>\"\n      ],\n      \"text/plain\": [\n       \"LogisticRegression()\"\n      ]\n     },\n     \"execution_count\": 62,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"classifier.fit(X_train, y_train)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 63,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y_test_pred = classifier.predict(X_test)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 64,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"              precision    recall  f1-score   support\\n\",\n      \"\\n\",\n      \"           0       1.00      1.00      1.00        16\\n\",\n      \"           1       1.00      0.94      0.97        18\\n\",\n      \"           2       0.92      1.00      0.96        11\\n\",\n      \"\\n\",\n      \"    accuracy                           0.98        45\\n\",\n      \"   macro avg       0.97      0.98      0.98        45\\n\",\n      \"weighted avg       0.98      0.98      0.98        45\\n\",\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"print(metrics.classification_report(y_test, y_test_pred))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 65,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([16, 18, 11])\"\n      ]\n     },\n     \"execution_count\": 65,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.bincount(y_test)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 66,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[16,  0,  0],\\n\",\n       \"       [ 0, 17,  1],\\n\",\n       \"       [ 0,  0, 11]])\"\n      ]\n     },\n     \"execution_count\": 66,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"metrics.confusion_matrix(y_test, y_test_pred)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 67,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[16,  0,  0],\\n\",\n       \"       [ 0, 17,  1],\\n\",\n       \"       [ 0,  0, 11]])\"\n      ]\n     },\n     \"execution_count\": 67,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"classifier = tree.DecisionTreeClassifier()\\n\",\n    \"classifier.fit(X_train, y_train)\\n\",\n    \"y_test_pred = classifier.predict(X_test)\\n\",\n    \"metrics.confusion_matrix(y_test, y_test_pred)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 68,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[16,  0,  0],\\n\",\n       \"       [ 0, 17,  1],\\n\",\n       \"       [ 0,  0, 11]])\"\n      ]\n     },\n     \"execution_count\": 68,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"classifier = neighbors.KNeighborsClassifier()\\n\",\n    \"classifier.fit(X_train, y_train)\\n\",\n    \"y_test_pred = classifier.predict(X_test)\\n\",\n    \"metrics.confusion_matrix(y_test, y_test_pred)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 69,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[16,  0,  0],\\n\",\n       \"       [ 0, 17,  1],\\n\",\n       \"       [ 0,  0, 11]])\"\n      ]\n     },\n     \"execution_count\": 69,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"classifier = svm.SVC()\\n\",\n    \"classifier.fit(X_train, y_train)\\n\",\n    \"y_test_pred = classifier.predict(X_test)\\n\",\n    \"metrics.confusion_matrix(y_test, y_test_pred)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 70,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[16,  0,  0],\\n\",\n       \"       [ 0, 17,  1],\\n\",\n       \"       [ 0,  0, 11]])\"\n      ]\n     },\n     \"execution_count\": 70,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"classifier = ensemble.RandomForestClassifier()\\n\",\n    \"classifier.fit(X_train, y_train)\\n\",\n    \"y_test_pred = classifier.predict(X_test)\\n\",\n    \"metrics.confusion_matrix(y_test, y_test_pred)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 71,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"train_size_vec = np.linspace(0.1, 0.9, 30)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 72,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"classifiers = [tree.DecisionTreeClassifier,\\n\",\n    \"               neighbors.KNeighborsClassifier,\\n\",\n    \"               svm.SVC,\\n\",\n    \"               ensemble.RandomForestClassifier\\n\",\n    \"              ]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 73,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"cm_diags = np.zeros((3, len(train_size_vec), len(classifiers)), dtype=float)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 74,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"for n, train_size in enumerate(train_size_vec):\\n\",\n    \"    X_train, X_test, y_train, y_test = \\\\\\n\",\n    \"        model_selection.train_test_split(iris.data, iris.target, train_size=train_size)\\n\",\n    \"\\n\",\n    \"    for m, Classifier in enumerate(classifiers): \\n\",\n    \"        classifier = Classifier()\\n\",\n    \"        classifier.fit(X_train, y_train)\\n\",\n    \"        y_test_pred = classifier.predict(X_test)\\n\",\n    \"        cm_diags[:, n, m] = metrics.confusion_matrix(y_test, y_test_pred).diagonal()\\n\",\n    \"        cm_diags[:, n, m] /= np.bincount(y_test)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 75,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x300 with 4 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, len(classifiers), figsize=(12, 3))\\n\",\n    \"\\n\",\n    \"for m, Classifier in enumerate(classifiers): \\n\",\n    \"    axes[m].plot(train_size_vec, cm_diags[2, :, m], label=iris.target_names[2])\\n\",\n    \"    axes[m].plot(train_size_vec, cm_diags[1, :, m], label=iris.target_names[1])\\n\",\n    \"    axes[m].plot(train_size_vec, cm_diags[0, :, m], label=iris.target_names[0])\\n\",\n    \"    axes[m].set_title(type(Classifier()).__name__)\\n\",\n    \"    axes[m].set_ylim(0, 1.1)\\n\",\n    \"    axes[m].set_xlim(0.1, 0.9)\\n\",\n    \"    axes[m].set_ylabel(\\\"classification accuracy\\\")\\n\",\n    \"    axes[m].set_xlabel(\\\"training size ratio\\\")\\n\",\n    \"    axes[m].legend(loc=4)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch15-classification-comparison.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Clustering\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 76,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"X, y = iris.data, iris.target\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 77,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"np.random.seed(123)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 78,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"n_clusters = 3\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 79,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"c = cluster.KMeans(n_clusters=n_clusters)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 80,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/Users/rob/miniconda3/envs/npbook_py310/lib/python3.10/site-packages/sklearn/cluster/_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\\n\",\n      \"  super()._check_params_vs_input(X, default_n_init=10)\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<style>#sk-container-id-7 {color: black;}#sk-container-id-7 pre{padding: 0;}#sk-container-id-7 div.sk-toggleable {background-color: white;}#sk-container-id-7 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-7 label.sk-toggleable__label-arrow:before {content: \\\"▸\\\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-7 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-7 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-7 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-7 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-7 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-7 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \\\"▾\\\";}#sk-container-id-7 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-7 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-7 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-7 div.sk-parallel-item::after {content: \\\"\\\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-7 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-7 div.sk-serial::before {content: \\\"\\\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-7 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-7 div.sk-item {position: relative;z-index: 1;}#sk-container-id-7 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-7 div.sk-item::before, #sk-container-id-7 div.sk-parallel-item::before {content: \\\"\\\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-7 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-7 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-7 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-7 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-7 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-7 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-7 div.sk-label-container {text-align: center;}#sk-container-id-7 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-7 div.sk-text-repr-fallback {display: none;}</style><div id=\\\"sk-container-id-7\\\" class=\\\"sk-top-container\\\"><div class=\\\"sk-text-repr-fallback\\\"><pre>KMeans(n_clusters=3)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\\\"sk-container\\\" hidden><div class=\\\"sk-item\\\"><div class=\\\"sk-estimator sk-toggleable\\\"><input class=\\\"sk-toggleable__control sk-hidden--visually\\\" id=\\\"sk-estimator-id-7\\\" type=\\\"checkbox\\\" checked><label for=\\\"sk-estimator-id-7\\\" class=\\\"sk-toggleable__label sk-toggleable__label-arrow\\\">KMeans</label><div class=\\\"sk-toggleable__content\\\"><pre>KMeans(n_clusters=3)</pre></div></div></div></div></div>\"\n      ],\n      \"text/plain\": [\n       \"KMeans(n_clusters=3)\"\n      ]\n     },\n     \"execution_count\": 80,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"c.fit(X)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 81,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y_pred = c.predict(X)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 82,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0],\\n\",\n       \"      dtype=int32)\"\n      ]\n     },\n     \"execution_count\": 82,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"y_pred[::8]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 83,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2])\"\n      ]\n     },\n     \"execution_count\": 83,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"y[::8]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 84,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"idx_0, idx_1, idx_2 = (np.where(y_pred == n) for n in range(3))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 85,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y_pred[idx_0], y_pred[idx_1], y_pred[idx_2] = 2, 0, 1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 86,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2],\\n\",\n       \"      dtype=int32)\"\n      ]\n     },\n     \"execution_count\": 86,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"y_pred[::8]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 87,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[50,  0,  0],\\n\",\n       \"       [ 0, 48,  2],\\n\",\n       \"       [ 0, 14, 36]])\"\n      ]\n     },\n     \"execution_count\": 87,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"metrics.confusion_matrix(y, y_pred)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 88,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x1200 with 16 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"N = X.shape[1]\\n\",\n    \"\\n\",\n    \"fig, axes = plt.subplots(N, N, figsize=(12, 12), sharex=True, sharey=True)\\n\",\n    \"\\n\",\n    \"colors = [\\\"coral\\\", \\\"blue\\\", \\\"green\\\"]\\n\",\n    \"markers = [\\\"^\\\", \\\"v\\\", \\\"o\\\"]\\n\",\n    \"for m in range(N):\\n\",\n    \"    for n in range(N):\\n\",\n    \"        for p in range(n_clusters):\\n\",\n    \"            mask = y_pred == p\\n\",\n    \"            axes[m, n].scatter(X[:, m][mask], X[:, n][mask],\\n\",\n    \"                               marker=markers[p], s=30, \\n\",\n    \"                               color=colors[p], alpha=0.25)\\n\",\n    \"\\n\",\n    \"        for idx in np.where(y != y_pred):\\n\",\n    \"            axes[m, n].scatter(X[idx, m], X[idx, n],\\n\",\n    \"                               marker=\\\"s\\\", s=30, \\n\",\n    \"                               edgecolor=\\\"red\\\", \\n\",\n    \"                               facecolor=(1,1,1,0))\\n\",\n    \"            \\n\",\n    \"            \\n\",\n    \"    axes[N-1, m].set_xlabel(iris.feature_names[m], fontsize=16)\\n\",\n    \"    axes[m, 0].set_ylabel(iris.feature_names[m], fontsize=16)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch15-clustering.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch15-clustering.png\\\", dpi=600)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Versions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 89,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%reload_ext version_information\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 90,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/json\": {\n       \"Software versions\": [\n        {\n         \"module\": \"Python\",\n         \"version\": \"3.10.12 64bit [Clang 14.0.6 ]\"\n        },\n        {\n         \"module\": \"IPython\",\n         \"version\": \"8.12.0\"\n        },\n        {\n         \"module\": \"OS\",\n         \"version\": \"macOS 10.15.7 x86_64 i386 64bit\"\n        },\n        {\n         \"module\": \"sklearn\",\n         \"version\": \"1.3.0\"\n        },\n        {\n         \"module\": \"numpy\",\n         \"version\": \"1.22.3\"\n        },\n        {\n         \"module\": \"matplotlib\",\n         \"version\": \"3.7.1\"\n        },\n        {\n         \"module\": \"seaborn\",\n         \"version\": \"0.12.2\"\n        }\n       ]\n      },\n      \"text/html\": [\n       \"<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.10.12 64bit [Clang 14.0.6 ]</td></tr><tr><td>IPython</td><td>8.12.0</td></tr><tr><td>OS</td><td>macOS 10.15.7 x86\\\\_64 i386 64bit</td></tr><tr><td>sklearn</td><td>1.3.0</td></tr><tr><td>numpy</td><td>1.22.3</td></tr><tr><td>matplotlib</td><td>3.7.1</td></tr><tr><td>seaborn</td><td>0.12.2</td></tr><tr><td colspan='2'>Sun Nov 03 09:20:45 2024 JST</td></tr></table>\"\n      ],\n      \"text/latex\": [\n       \"\\\\begin{tabular}{|l|l|}\\\\hline\\n\",\n       \"{\\\\bf Software} & {\\\\bf Version} \\\\\\\\ \\\\hline\\\\hline\\n\",\n       \"Python & 3.10.12 64bit [Clang 14.0.6 ] \\\\\\\\ \\\\hline\\n\",\n       \"IPython & 8.12.0 \\\\\\\\ \\\\hline\\n\",\n       \"OS & macOS 10.15.7 x86\\\\_64 i386 64bit \\\\\\\\ \\\\hline\\n\",\n       \"sklearn & 1.3.0 \\\\\\\\ \\\\hline\\n\",\n       \"numpy & 1.22.3 \\\\\\\\ \\\\hline\\n\",\n       \"matplotlib & 3.7.1 \\\\\\\\ \\\\hline\\n\",\n       \"seaborn & 0.12.2 \\\\\\\\ \\\\hline\\n\",\n       \"\\\\hline \\\\multicolumn{2}{|l|}{Sun Nov 03 09:20:45 2024 JST} \\\\\\\\ \\\\hline\\n\",\n       \"\\\\end{tabular}\\n\"\n      ],\n      \"text/plain\": [\n       \"Software versions\\n\",\n       \"Python 3.10.12 64bit [Clang 14.0.6 ]\\n\",\n       \"IPython 8.12.0\\n\",\n       \"OS macOS 10.15.7 x86_64 i386 64bit\\n\",\n       \"sklearn 1.3.0\\n\",\n       \"numpy 1.22.3\\n\",\n       \"matplotlib 3.7.1\\n\",\n       \"seaborn 0.12.2\\n\",\n       \"Sun Nov 03 09:20:45 2024 JST\"\n      ]\n     },\n     \"execution_count\": 90,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%version_information sklearn, numpy, matplotlib, seaborn\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"npbook_py310\",\n   \"language\": \"python\",\n   \"name\": \"npbook_py310\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "ch16-code-listing.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Chapter 16: Bayesian statistics\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import pymc as mc \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"%matplotlib inline\\n\",\n    \"%config InlineBackend.figure_format='retina'\\n\",\n    \"import matplotlib.pyplot as plt\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import seaborn as sns\\n\",\n    \"sns.set()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from scipy import stats\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import statsmodels.api as sm\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import statsmodels.formula.api as smf\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import pandas as pd\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Changelog:\\n\",\n    \"\\n\",\n    \"* 160828: The keyword argument `vars` to the functions `mc.traceplot` and `mc.forestplot` was changed to `varnames`.\\n\",\n    \"* 231125: The keyword `varnames` was changed to `var_names`\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Simple example: Normal distributed random variable\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# try this\\n\",\n    \"# dir(mc.distributions)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"np.random.seed(100)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"mu = 4.0\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"sigma = 2.0\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"model = mc.Model()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"with model:\\n\",\n    \"    mc.Normal('X', mu, tau=1/sigma**2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[X]\"\n      ]\n     },\n     \"execution_count\": 15,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"model.continuous_value_vars\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"start = dict(X=2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Multiprocess sampling (4 chains in 4 jobs)\\n\",\n      \"Metropolis: [X]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"    <div>\\n\",\n       \"        <style>\\n\",\n       \"            /* Turns off some styling */\\n\",\n       \"            progress {\\n\",\n       \"                /* gets rid of default border in Firefox and Opera. */\\n\",\n       \"                border: none;\\n\",\n       \"                /* Needs to be in here for Safari polyfill so background images work as expected. */\\n\",\n       \"                background-size: auto;\\n\",\n       \"            }\\n\",\n       \"            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\\n\",\n       \"                background: #F44336;\\n\",\n       \"            }\\n\",\n       \"        </style>\\n\",\n       \"      <progress value='44000' class='' max='44000' style='width:300px; height:20px; vertical-align: middle;'></progress>\\n\",\n       \"      100.00% [44000/44000 00:21<00:00 Sampling 4 chains, 0 divergences]\\n\",\n       \"    </div>\\n\",\n       \"    \"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Sampling 4 chains for 1_000 tune and 10_000 draw iterations (4_000 + 40_000 draws total) took 22 seconds.\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"with model:\\n\",\n    \"    step = mc.Metropolis()\\n\",\n    \"    trace = mc.sample(10000, step=step, initvals=start)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.linspace(-4, 12, 1000)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"y = stats.norm(mu, sigma).pdf(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"# import arviz as az\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"# az.extract(trace)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"def get_values(trace, variable):\\n\",\n    \"    return trace.posterior.stack(sample=['chain', 'draw'])[variable].values\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"X = get_values(trace, \\\"X\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0.91674571, 1.33214833, 1.33214833, ..., 5.3859442 , 5.3859442 ,\\n\",\n       \"       4.39995454])\"\n      ]\n     },\n     \"execution_count\": 24,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"X\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/Users/rob/miniconda3/envs/npm_v2_py310/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\\n\",\n      \"  if pd.api.types.is_categorical_dtype(vector):\\n\",\n      \"/Users/rob/miniconda3/envs/npm_v2_py310/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\\n\",\n      \"  with pd.option_context('mode.use_inf_as_na', True):\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 284,\n       \"width\": 784\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 3))\\n\",\n    \"\\n\",\n    \"ax.plot(x, y, 'r', lw=2)\\n\",\n    \"sns.histplot(X, ax=ax, kde=True, stat='density')\\n\",\n    \"ax.set_xlim(-4, 12)\\n\",\n    \"ax.set_xlabel(\\\"x\\\")\\n\",\n    \"ax.set_ylabel(\\\"Probability distribution\\\")\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch16-normal-distribution-sampled.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch16-normal-distribution-sampled.png\\\", dpi=600)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 384,\n       \"width\": 1183\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 2, figsize=(12, 4), squeeze=False)\\n\",\n    \"mc.plot_trace(trace, axes=axes)\\n\",\n    \"axes[0,0].plot(x, y, 'r', lw=0.5)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch16-normal-sampling-trace.png\\\", dpi=600)\\n\",\n    \"fig.savefig(\\\"ch16-normal-sampling-trace.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Dependent random variables\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"model = mc.Model()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"#mc.HalfNormal??\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"with model:\\n\",\n    \"    mean = mc.Normal('mean', 3.0)\\n\",\n    \"    sigma = mc.HalfNormal('sigma', sigma=1.0)\\n\",\n    \"    X = mc.Normal('X', mean, tau=sigma)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[mean, sigma_log__, X]\"\n      ]\n     },\n     \"execution_count\": 30,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"model.continuous_value_vars\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"    <div>\\n\",\n       \"        <style>\\n\",\n       \"            /* Turns off some styling */\\n\",\n       \"            progress {\\n\",\n       \"                /* gets rid of default border in Firefox and Opera. */\\n\",\n       \"                border: none;\\n\",\n       \"                /* Needs to be in here for Safari polyfill so background images work as expected. */\\n\",\n       \"                background-size: auto;\\n\",\n       \"            }\\n\",\n       \"            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\\n\",\n       \"                background: #F44336;\\n\",\n       \"            }\\n\",\n       \"        </style>\\n\",\n       \"      <progress value='10' class='' max='10' style='width:300px; height:20px; vertical-align: middle;'></progress>\\n\",\n       \"      100.00% [10/10 00:00<00:00 logp = -3.0067, ||grad|| = 1.6313]\\n\",\n       \"    </div>\\n\",\n       \"    \"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"with model:\\n\",\n    \"    start = mc.find_MAP()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 32,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"{'mean': array(2.99999901),\\n\",\n       \" 'sigma_log__': array(-0.34657378),\\n\",\n       \" 'X': array(3.00000036),\\n\",\n       \" 'sigma': array(0.70710665)}\"\n      ]\n     },\n     \"execution_count\": 32,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"start\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 33,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Multiprocess sampling (4 chains in 4 jobs)\\n\",\n      \"CompoundStep\\n\",\n      \">Metropolis: [mean]\\n\",\n      \">Metropolis: [sigma]\\n\",\n      \">Metropolis: [X]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"    <div>\\n\",\n       \"        <style>\\n\",\n       \"            /* Turns off some styling */\\n\",\n       \"            progress {\\n\",\n       \"                /* gets rid of default border in Firefox and Opera. */\\n\",\n       \"                border: none;\\n\",\n       \"                /* Needs to be in here for Safari polyfill so background images work as expected. */\\n\",\n       \"                background-size: auto;\\n\",\n       \"            }\\n\",\n       \"            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\\n\",\n       \"                background: #F44336;\\n\",\n       \"            }\\n\",\n       \"        </style>\\n\",\n       \"      <progress value='44000' class='' max='44000' style='width:300px; height:20px; vertical-align: middle;'></progress>\\n\",\n       \"      100.00% [44000/44000 00:13<00:00 Sampling 4 chains, 0 divergences]\\n\",\n       \"    </div>\\n\",\n       \"    \"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Sampling 4 chains for 1_000 tune and 10_000 draw iterations (4_000 + 40_000 draws total) took 32 seconds.\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"with model:\\n\",\n    \"    step = mc.Metropolis()\\n\",\n    \"    trace = mc.sample(10000, initvals=start, step=step)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 34,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.7921961542294592\"\n      ]\n     },\n     \"execution_count\": 34,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"get_values(trace, \\\"sigma\\\").mean()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 35,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"X = get_values(trace, \\\"X\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 36,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"2.9634882470897166\"\n      ]\n     },\n     \"execution_count\": 36,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"X.mean()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 37,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"2.4832085341157826\"\n      ]\n     },\n     \"execution_count\": 37,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"X.std()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 38,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x600 with 6 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 585,\n       \"width\": 784\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(3, 2, figsize=(8, 6), squeeze=False)\\n\",\n    \"mc.plot_trace(trace, var_names=['mean', 'sigma', 'X'], axes=axes)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch16-dependent-rv-sample-trace.png\\\", dpi=600)\\n\",\n    \"fig.savefig(\\\"ch16-dependent-rv-sample-trace.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Posterior distributions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 39,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"mu = 2.5\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 40,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"s = 1.5\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 41,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data = stats.norm(mu, s).rvs(100)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 42,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"with mc.Model() as model:\\n\",\n    \"    \\n\",\n    \"    mean = mc.Normal('mean', 4.0, tau=1.0) # true 2.5\\n\",\n    \"    sigma = mc.HalfNormal('sigma', tau=3.0 * np.sqrt(np.pi/2)) # true 1.5\\n\",\n    \"\\n\",\n    \"    X = mc.Normal('X', mean, tau=1/sigma**2, observed=data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 43,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[mean, sigma_log__]\"\n      ]\n     },\n     \"execution_count\": 43,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"model.continuous_value_vars\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 44,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"    <div>\\n\",\n       \"        <style>\\n\",\n       \"            /* Turns off some styling */\\n\",\n       \"            progress {\\n\",\n       \"                /* gets rid of default border in Firefox and Opera. */\\n\",\n       \"                border: none;\\n\",\n       \"                /* Needs to be in here for Safari polyfill so background images work as expected. */\\n\",\n       \"                background-size: auto;\\n\",\n       \"            }\\n\",\n       \"            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\\n\",\n       \"                background: #F44336;\\n\",\n       \"            }\\n\",\n       \"        </style>\\n\",\n       \"      <progress value='12' class='' max='12' style='width:300px; height:20px; vertical-align: middle;'></progress>\\n\",\n       \"      100.00% [12/12 00:00<00:00 logp = -185.03, ||grad|| = 0.00046503]\\n\",\n       \"    </div>\\n\",\n       \"    \"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Multiprocess sampling (4 chains in 4 jobs)\\n\",\n      \"CompoundStep\\n\",\n      \">Metropolis: [mean]\\n\",\n      \">Metropolis: [sigma]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"    <div>\\n\",\n       \"        <style>\\n\",\n       \"            /* Turns off some styling */\\n\",\n       \"            progress {\\n\",\n       \"                /* gets rid of default border in Firefox and Opera. */\\n\",\n       \"                border: none;\\n\",\n       \"                /* Needs to be in here for Safari polyfill so background images work as expected. */\\n\",\n       \"                background-size: auto;\\n\",\n       \"            }\\n\",\n       \"            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\\n\",\n       \"                background: #F44336;\\n\",\n       \"            }\\n\",\n       \"        </style>\\n\",\n       \"      <progress value='44000' class='' max='44000' style='width:300px; height:20px; vertical-align: middle;'></progress>\\n\",\n       \"      100.00% [44000/44000 00:11<00:00 Sampling 4 chains, 0 divergences]\\n\",\n       \"    </div>\\n\",\n       \"    \"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Sampling 4 chains for 1_000 tune and 10_000 draw iterations (4_000 + 40_000 draws total) took 31 seconds.\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"with model:\\n\",\n    \"    start = mc.find_MAP()\\n\",\n    \"    step = mc.Metropolis()\\n\",\n    \"    trace = mc.sample(10000, initvals=start, step=step)\\n\",\n    \"    #step = mc.NUTS()\\n\",\n    \"    #trace = mc.sample(10000, initvals=start, step=step)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 45,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"{'mean': array(2.37576359),\\n\",\n       \" 'sigma_log__': array(0.33924884),\\n\",\n       \" 'sigma': array(1.40389264)}\"\n      ]\n     },\n     \"execution_count\": 45,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"start\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 46,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[mean, sigma_log__]\"\n      ]\n     },\n     \"execution_count\": 46,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"model.continuous_value_vars\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 47,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 4 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 385,\n       \"width\": 782\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(2, 2, figsize=(8, 4), squeeze=False)\\n\",\n    \"mc.plot_trace(trace, var_names=['mean', 'sigma'], axes=axes)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch16-posterior-sample-trace.png\\\", dpi=600)\\n\",\n    \"fig.savefig(\\\"ch16-posterior-sample-trace.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 49,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(2.5, 2.3792045174809107)\"\n      ]\n     },\n     \"execution_count\": 49,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"mu, get_values(trace, \\\"mean\\\").mean() # trace.posterior.stack(sample=['chain', 'draw'])[\\\"mean\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 50,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(1.5, 1.4228102333583557)\"\n      ]\n     },\n     \"execution_count\": 50,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"s, get_values(trace, \\\"sigma\\\").mean() # trace.posterior.stack(sample=['chain', 'draw'])[\\\"sigma\\\"].values.mean()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 51,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 600x580 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 514,\n       \"width\": 539\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"gs = mc.plot_forest(trace, var_names=['mean', 'sigma'])\\n\",\n    \"plt.savefig(\\\"ch16-forestplot.pdf\\\")\\n\",\n    \"plt.savefig(\\\"ch16-forestplot.png\\\", dpi=600)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 52,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# help(mc.summary)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 53,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>mean</th>\\n\",\n       \"      <th>sd</th>\\n\",\n       \"      <th>hdi_3%</th>\\n\",\n       \"      <th>hdi_97%</th>\\n\",\n       \"      <th>mcse_mean</th>\\n\",\n       \"      <th>mcse_sd</th>\\n\",\n       \"      <th>ess_bulk</th>\\n\",\n       \"      <th>ess_tail</th>\\n\",\n       \"      <th>r_hat</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>mean</th>\\n\",\n       \"      <td>2.379</td>\\n\",\n       \"      <td>0.140</td>\\n\",\n       \"      <td>2.106</td>\\n\",\n       \"      <td>2.635</td>\\n\",\n       \"      <td>0.002</td>\\n\",\n       \"      <td>0.001</td>\\n\",\n       \"      <td>6567.0</td>\\n\",\n       \"      <td>6587.0</td>\\n\",\n       \"      <td>1.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>sigma</th>\\n\",\n       \"      <td>1.423</td>\\n\",\n       \"      <td>0.097</td>\\n\",\n       \"      <td>1.246</td>\\n\",\n       \"      <td>1.605</td>\\n\",\n       \"      <td>0.001</td>\\n\",\n       \"      <td>0.001</td>\\n\",\n       \"      <td>4938.0</td>\\n\",\n       \"      <td>5297.0</td>\\n\",\n       \"      <td>1.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  ess_tail  \\\\\\n\",\n       \"mean   2.379  0.140   2.106    2.635      0.002    0.001    6567.0    6587.0   \\n\",\n       \"sigma  1.423  0.097   1.246    1.605      0.001    0.001    4938.0    5297.0   \\n\",\n       \"\\n\",\n       \"       r_hat  \\n\",\n       \"mean     1.0  \\n\",\n       \"sigma    1.0  \"\n      ]\n     },\n     \"execution_count\": 53,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"mc.summary(trace, var_names=['mean', 'sigma'])\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Linear regression\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 54,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"dataset = sm.datasets.get_rdataset(\\\"Davis\\\", \\\"carData\\\", cache=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 55,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data = dataset.data[dataset.data.sex == 'M']\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 56,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"data = data[data.weight < 110]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 57,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>sex</th>\\n\",\n       \"      <th>weight</th>\\n\",\n       \"      <th>height</th>\\n\",\n       \"      <th>repwt</th>\\n\",\n       \"      <th>repht</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>M</td>\\n\",\n       \"      <td>77</td>\\n\",\n       \"      <td>182</td>\\n\",\n       \"      <td>77.0</td>\\n\",\n       \"      <td>180.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>M</td>\\n\",\n       \"      <td>68</td>\\n\",\n       \"      <td>177</td>\\n\",\n       \"      <td>70.0</td>\\n\",\n       \"      <td>175.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>5</th>\\n\",\n       \"      <td>M</td>\\n\",\n       \"      <td>76</td>\\n\",\n       \"      <td>170</td>\\n\",\n       \"      <td>76.0</td>\\n\",\n       \"      <td>165.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"  sex  weight  height  repwt  repht\\n\",\n       \"0   M      77     182   77.0  180.0\\n\",\n       \"3   M      68     177   70.0  175.0\\n\",\n       \"5   M      76     170   76.0  165.0\"\n      ]\n     },\n     \"execution_count\": 57,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.head(3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 58,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"model = smf.ols(\\\"height ~ weight\\\", data=data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 59,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"result = model.fit()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 60,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"                            OLS Regression Results                            \\n\",\n      \"==============================================================================\\n\",\n      \"Dep. Variable:                 height   R-squared:                       0.327\\n\",\n      \"Model:                            OLS   Adj. R-squared:                  0.319\\n\",\n      \"Method:                 Least Squares   F-statistic:                     41.35\\n\",\n      \"Date:                Sun, 03 Nov 2024   Prob (F-statistic):           7.11e-09\\n\",\n      \"Time:                        09:44:53   Log-Likelihood:                -268.20\\n\",\n      \"No. Observations:                  87   AIC:                             540.4\\n\",\n      \"Df Residuals:                      85   BIC:                             545.3\\n\",\n      \"Df Model:                           1                                         \\n\",\n      \"Covariance Type:            nonrobust                                         \\n\",\n      \"==============================================================================\\n\",\n      \"                 coef    std err          t      P>|t|      [0.025      0.975]\\n\",\n      \"------------------------------------------------------------------------------\\n\",\n      \"Intercept    152.6173      3.987     38.281      0.000     144.691     160.544\\n\",\n      \"weight         0.3365      0.052      6.431      0.000       0.232       0.441\\n\",\n      \"==============================================================================\\n\",\n      \"Omnibus:                        5.734   Durbin-Watson:                   2.039\\n\",\n      \"Prob(Omnibus):                  0.057   Jarque-Bera (JB):                5.660\\n\",\n      \"Skew:                           0.397   Prob(JB):                       0.0590\\n\",\n      \"Kurtosis:                       3.965   Cond. No.                         531.\\n\",\n      \"==============================================================================\\n\",\n      \"\\n\",\n      \"Notes:\\n\",\n      \"[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"print(result.summary())\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 61,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.linspace(50, 110, 25)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 62,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"y = result.predict({\\\"weight\\\": x})\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 63,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 284,\n       \"width\": 784\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(8, 3))\\n\",\n    \"ax.plot(data.weight, data.height, 'o')\\n\",\n    \"ax.plot(x, y, color=\\\"blue\\\")\\n\",\n    \"ax.set_xlabel(\\\"weight\\\")\\n\",\n    \"ax.set_ylabel(\\\"height\\\")\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch16-linear-ols-fit.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch16-linear-ols-fit.png\\\", dpi=600)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 64,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"with mc.Model() as model:\\n\",\n    \"    sigma = mc.Uniform('sigma', 0, 10)\\n\",\n    \"    intercept = mc.Normal('intercept', 125, sigma=30)\\n\",\n    \"    beta = mc.Normal('beta', 0, sigma=5)\\n\",\n    \"    \\n\",\n    \"    height_mu = intercept + beta * data.weight\\n\",\n    \"\\n\",\n    \"    # likelihood function\\n\",\n    \"    mc.Normal('height', mu=height_mu, sigma=sigma, observed=data.height)\\n\",\n    \"\\n\",\n    \"    # predict\\n\",\n    \"    predict_height = mc.Normal('predict_height', mu=intercept + beta * x, sigma=sigma, shape=len(x)) \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 65,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[sigma_interval__, intercept, beta, predict_height]\"\n      ]\n     },\n     \"execution_count\": 65,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"model.continuous_value_vars\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 66,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"# help(mc.NUTS)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 67,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Multiprocess sampling (4 chains in 4 jobs)\\n\",\n      \"NUTS: [sigma, intercept, beta, predict_height]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"    <div>\\n\",\n       \"        <style>\\n\",\n       \"            /* Turns off some styling */\\n\",\n       \"            progress {\\n\",\n       \"                /* gets rid of default border in Firefox and Opera. */\\n\",\n       \"                border: none;\\n\",\n       \"                /* Needs to be in here for Safari polyfill so background images work as expected. */\\n\",\n       \"                background-size: auto;\\n\",\n       \"            }\\n\",\n       \"            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\\n\",\n       \"                background: #F44336;\\n\",\n       \"            }\\n\",\n       \"        </style>\\n\",\n       \"      <progress value='44000' class='' max='44000' style='width:300px; height:20px; vertical-align: middle;'></progress>\\n\",\n       \"      100.00% [44000/44000 01:59<00:00 Sampling 4 chains, 0 divergences]\\n\",\n       \"    </div>\\n\",\n       \"    \"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Sampling 4 chains for 1_000 tune and 10_000 draw iterations (4_000 + 40_000 draws total) took 139 seconds.\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"with model:\\n\",\n    \"    # start = mc.find_MAP()\\n\",\n    \"    step = mc.NUTS()\\n\",\n    \"    trace = mc.sample(10000, step=step) # , initvals=start)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 68,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[sigma_interval__, intercept, beta, predict_height]\"\n      ]\n     },\n     \"execution_count\": 68,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"model.continuous_value_vars\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 69,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x400 with 4 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 385,\n       \"width\": 783\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(2, 2, figsize=(8, 4), squeeze=False)\\n\",\n    \"mc.plot_trace(trace, var_names=['intercept', 'beta'], axes=axes)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch16-linear-model-sample-trace.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch16-linear-model-sample-trace.png\\\", dpi=600)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 70,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"152.17013984548987\"\n      ]\n     },\n     \"execution_count\": 70,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"intercept = get_values(trace, \\\"intercept\\\").mean()\\n\",\n    \"intercept\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 71,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.34229067573612304\"\n      ]\n     },\n     \"execution_count\": 71,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"beta = get_values(trace, \\\"beta\\\").mean() # trace.posterior.stack(sample=['chain', 'draw'])[\\\"beta\\\"].values.mean()\\n\",\n    \"beta\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 72,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"Intercept    152.617348\\n\",\n       \"weight         0.336477\\n\",\n       \"dtype: float64\"\n      ]\n     },\n     \"execution_count\": 72,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"result.params\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 73,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0    182.9003\\n\",\n       \"dtype: float64\"\n      ]\n     },\n     \"execution_count\": 73,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"result.predict({\\\"weight\\\": 90})\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 74,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"weight_index = np.where(x == 90)[0][0]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 75,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"182.9682840420416\"\n      ]\n     },\n     \"execution_count\": 75,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"# trace.posterior.stack(sample=['chain', 'draw'])[\\\"predict_height\\\"].values[weight_index, :].mean()\\n\",\n    \"get_values(trace, \\\"predict_height\\\")[weight_index, :].mean()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 76,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"#trace.get_values(\\\"predict_height\\\")[:, weight_index].mean()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 77,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"#trace.posterior.stack(sample=['chain', 'draw'])[\\\"predict_height\\\"].values.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 78,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/Users/rob/miniconda3/envs/npm_v2_py310/lib/python3.10/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\\n\",\n      \"  if pd.api.types.is_categorical_dtype(vector):\\n\",\n      \"/Users/rob/miniconda3/envs/npm_v2_py310/lib/python3.10/site-packages/seaborn/_oldcore.py:1119: FutureWarning: use_inf_as_na option is deprecated and will be removed in a future version. Convert inf values to NaN before operating instead.\\n\",\n      \"  with pd.option_context('mode.use_inf_as_na', True):\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 284,\n       \"width\": 784\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 3))\\n\",\n    \"\\n\",\n    \"sns.histplot(get_values(trace, \\\"predict_height\\\")[weight_index, :], ax=ax, kde=True, stat='density')\\n\",\n    \"ax.set_xlim(150, 210)\\n\",\n    \"ax.set_xlabel(\\\"height\\\")\\n\",\n    \"ax.set_ylabel(\\\"Probability distribution\\\")\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch16-linear-model-predict-cut.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch16-linear-model-predict-cut.png\\\", dpi=600)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 79,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"# trace.posterior.stack(sample=['chain', 'draw'])[\\\"intercept\\\"].values\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 80,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 384,\n       \"width\": 1184\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(12, 4))\\n\",\n    \"\\n\",\n    \"for n in range(500, 2000, 1):\\n\",\n    \"    intercept = get_values(trace, \\\"intercept\\\")[n]\\n\",\n    \"    beta = get_values(trace, \\\"beta\\\")[n]\\n\",\n    \"    ax.plot(x, intercept + beta * x, color='red', lw=0.25, alpha=0.05)\\n\",\n    \"\\n\",\n    \"intercept = get_values(trace, \\\"intercept\\\").mean()\\n\",\n    \"beta = get_values(trace, \\\"beta\\\").mean()\\n\",\n    \"ax.plot(x, intercept + beta * x, color='k', label=\\\"Mean Bayesian prediction\\\")\\n\",\n    \"\\n\",\n    \"ax.plot(data.weight, data.height, 'o')\\n\",\n    \"ax.plot(x, y, '--', color=\\\"blue\\\", label=\\\"OLS prediction\\\")\\n\",\n    \"ax.set_xlabel(\\\"weight\\\")\\n\",\n    \"ax.set_ylabel(\\\"height\\\")\\n\",\n    \"ax.legend(loc=0)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch16-linear-model-fit.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch16-linear-model-fit.png\\\", dpi=600)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 81,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import bambi\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 82,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"model = bambi.Model('height ~ weight', data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 83,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Auto-assigning NUTS sampler...\\n\",\n      \"Initializing NUTS using jitter+adapt_diag...\\n\",\n      \"Multiprocess sampling (4 chains in 4 jobs)\\n\",\n      \"NUTS: [height_sigma, Intercept, weight]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"    <div>\\n\",\n       \"        <style>\\n\",\n       \"            /* Turns off some styling */\\n\",\n       \"            progress {\\n\",\n       \"                /* gets rid of default border in Firefox and Opera. */\\n\",\n       \"                border: none;\\n\",\n       \"                /* Needs to be in here for Safari polyfill so background images work as expected. */\\n\",\n       \"                background-size: auto;\\n\",\n       \"            }\\n\",\n       \"            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\\n\",\n       \"                background: #F44336;\\n\",\n       \"            }\\n\",\n       \"        </style>\\n\",\n       \"      <progress value='12000' class='' max='12000' style='width:300px; height:20px; vertical-align: middle;'></progress>\\n\",\n       \"      100.00% [12000/12000 00:06<00:00 Sampling 4 chains, 0 divergences]\\n\",\n       \"    </div>\\n\",\n       \"    \"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Sampling 4 chains for 1_000 tune and 2_000 draw iterations (4_000 + 8_000 draws total) took 25 seconds.\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"trace = model.fit(draws=2000) #  chains=4\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 84,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x600 with 6 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 585,\n       \"width\": 782\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(3, 2, figsize=(8, 6), squeeze=False)\\n\",\n    \"mc.plot_trace(trace, var_names=['Intercept', 'weight', 'height_sigma'], axes=axes)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch16-glm-sample-trace.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch16-glm-sample-trace.png\\\", dpi=600)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Multilevel model\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 85,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"dataset = sm.datasets.get_rdataset(\\\"Davis\\\", \\\"carData\\\", cache=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 86,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"data = dataset.data.copy()\\n\",\n    \"data = data[data.weight < 110]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 87,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data[\\\"sex\\\"] = data[\\\"sex\\\"].apply(lambda x: 1 if x == \\\"F\\\" else 0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 88,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>sex</th>\\n\",\n       \"      <th>weight</th>\\n\",\n       \"      <th>height</th>\\n\",\n       \"      <th>repwt</th>\\n\",\n       \"      <th>repht</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>0</td>\\n\",\n       \"      <td>77</td>\\n\",\n       \"      <td>182</td>\\n\",\n       \"      <td>77.0</td>\\n\",\n       \"      <td>180.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>58</td>\\n\",\n       \"      <td>161</td>\\n\",\n       \"      <td>51.0</td>\\n\",\n       \"      <td>159.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>53</td>\\n\",\n       \"      <td>161</td>\\n\",\n       \"      <td>54.0</td>\\n\",\n       \"      <td>158.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>0</td>\\n\",\n       \"      <td>68</td>\\n\",\n       \"      <td>177</td>\\n\",\n       \"      <td>70.0</td>\\n\",\n       \"      <td>175.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>1</td>\\n\",\n       \"      <td>59</td>\\n\",\n       \"      <td>157</td>\\n\",\n       \"      <td>59.0</td>\\n\",\n       \"      <td>155.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"   sex  weight  height  repwt  repht\\n\",\n       \"0    0      77     182   77.0  180.0\\n\",\n       \"1    1      58     161   51.0  159.0\\n\",\n       \"2    1      53     161   54.0  158.0\\n\",\n       \"3    0      68     177   70.0  175.0\\n\",\n       \"4    1      59     157   59.0  155.0\"\n      ]\n     },\n     \"execution_count\": 88,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 89,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"with mc.Model() as model:\\n\",\n    \"\\n\",\n    \"    # heirarchical model: hyper priors\\n\",\n    \"    #intercept_mu = mc.Normal(\\\"intercept_mu\\\", 125)\\n\",\n    \"    #intercept_sigma = 30.0 #mc.Uniform('intercept_sigma', lower=0, upper=50)\\n\",\n    \"    #beta_mu = mc.Normal(\\\"beta_mu\\\", 0.0)\\n\",\n    \"    #beta_sigma = 5.0 #mc.Uniform('beta_sigma', lower=0, upper=10)\\n\",\n    \"    \\n\",\n    \"    # multilevel model: prior parameters\\n\",\n    \"    intercept_mu, intercept_sigma = 125, 30\\n\",\n    \"    beta_mu, beta_sigma = 0.0, 5.0\\n\",\n    \"    \\n\",\n    \"    # priors\\n\",\n    \"    intercept = mc.Normal('intercept', intercept_mu, sigma=intercept_sigma, shape=2)\\n\",\n    \"    beta = mc.Normal('beta', beta_mu, sigma=beta_sigma, shape=2)\\n\",\n    \"    error = mc.Uniform('error', 0, 10)\\n\",\n    \"\\n\",\n    \"    # model equation\\n\",\n    \"    sex_idx = data.sex.values\\n\",\n    \"    height_mu = intercept[sex_idx] + beta[sex_idx] * data.weight\\n\",\n    \"\\n\",\n    \"    mc.Normal('height', mu=height_mu, sigma=error, observed=data.height)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 90,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[intercept, beta, error_interval__]\"\n      ]\n     },\n     \"execution_count\": 90,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"model.continuous_value_vars\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 92,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"    <div>\\n\",\n       \"        <style>\\n\",\n       \"            /* Turns off some styling */\\n\",\n       \"            progress {\\n\",\n       \"                /* gets rid of default border in Firefox and Opera. */\\n\",\n       \"                border: none;\\n\",\n       \"                /* Needs to be in here for Safari polyfill so background images work as expected. */\\n\",\n       \"                background-size: auto;\\n\",\n       \"            }\\n\",\n       \"            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\\n\",\n       \"                background: #F44336;\\n\",\n       \"            }\\n\",\n       \"        </style>\\n\",\n       \"      <progress value='50' class='' max='50' style='width:300px; height:20px; vertical-align: middle;'></progress>\\n\",\n       \"      100.00% [50/50 00:00<00:00 logp = -618.03, ||grad|| = 8.8049]\\n\",\n       \"    </div>\\n\",\n       \"    \"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\n\"\n     ]\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Multiprocess sampling (4 chains in 4 jobs)\\n\",\n      \"NUTS: [intercept, beta, error]\\n\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"    <div>\\n\",\n       \"        <style>\\n\",\n       \"            /* Turns off some styling */\\n\",\n       \"            progress {\\n\",\n       \"                /* gets rid of default border in Firefox and Opera. */\\n\",\n       \"                border: none;\\n\",\n       \"                /* Needs to be in here for Safari polyfill so background images work as expected. */\\n\",\n       \"                background-size: auto;\\n\",\n       \"            }\\n\",\n       \"            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\\n\",\n       \"                background: #F44336;\\n\",\n       \"            }\\n\",\n       \"        </style>\\n\",\n       \"      <progress value='24000' class='' max='24000' style='width:300px; height:20px; vertical-align: middle;'></progress>\\n\",\n       \"      100.00% [24000/24000 01:04<00:00 Sampling 4 chains, 0 divergences]\\n\",\n       \"    </div>\\n\",\n       \"    \"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    },\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Sampling 4 chains for 1_000 tune and 5_000 draw iterations (4_000 + 20_000 draws total) took 83 seconds.\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"with model:\\n\",\n    \"    start = mc.find_MAP()\\n\",\n    \"    # hessian = mc.find_hessian(start)\\n\",\n    \"    step = mc.NUTS()\\n\",\n    \"    trace = mc.sample(5000, step=step, initvals=start)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 93,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x600 with 6 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 585,\n       \"width\": 784\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(3, 2, figsize=(8, 6), squeeze=False)\\n\",\n    \"mc.plot_trace(trace, var_names=['intercept', 'beta', 'error'], axes=axes)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch16-multilevel-sample-trace.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch16-multilevel-sample-trace.png\\\", dpi=600)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 94,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"intercept_m, intercept_f = get_values(trace, 'intercept').mean(axis=1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 95,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"intercept = get_values(trace, 'intercept').mean()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 96,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0.34194838, 0.29939995, 0.3199544 , ..., 0.35292656, 0.33390056,\\n\",\n       \"        0.31986062],\\n\",\n       \"       [0.30169167, 0.48065079, 0.4321069 , ..., 0.34925651, 0.54491997,\\n\",\n       \"        0.51401649]])\"\n      ]\n     },\n     \"execution_count\": 96,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"get_values(trace, 'beta')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 97,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"beta_m, beta_f = get_values(trace, 'beta').mean(axis=1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 98,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"beta = get_values(trace, 'beta').mean()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 99,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {\n      \"image/png\": {\n       \"height\": 284,\n       \"width\": 784\n      }\n     },\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(8, 3))\\n\",\n    \"\\n\",\n    \"mask_m = data.sex == 0\\n\",\n    \"mask_f = data.sex == 1\\n\",\n    \"\\n\",\n    \"ax.plot(data.weight[mask_m], data.height[mask_m], 'o', color=\\\"steelblue\\\", label=\\\"male\\\", alpha=0.5)\\n\",\n    \"ax.plot(data.weight[mask_f], data.height[mask_f], 'o', color=\\\"green\\\", label=\\\"female\\\", alpha=0.5)\\n\",\n    \"\\n\",\n    \"x = np.linspace(35, 110, 50)\\n\",\n    \"ax.plot(x, intercept_m + x * beta_m, color=\\\"steelblue\\\", label=\\\"model male group\\\")\\n\",\n    \"ax.plot(x, intercept_f + x * beta_f, color=\\\"green\\\", label=\\\"model female group\\\")\\n\",\n    \"ax.plot(x, intercept + x * beta, color=\\\"black\\\", label=\\\"model both groups\\\")\\n\",\n    \"\\n\",\n    \"ax.set_xlabel(\\\"weight\\\")\\n\",\n    \"ax.set_ylabel(\\\"height\\\")\\n\",\n    \"ax.legend(loc=0)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch16-multilevel-linear-model-fit.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch16-multilevel-linear-model-fit.png\\\", dpi=600)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 100,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"5.1299582246438336\"\n      ]\n     },\n     \"execution_count\": 100,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"get_values(trace, 'error').mean()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Version\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 101,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"%reload_ext version_information\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 102,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/json\": {\n       \"Software versions\": [\n        {\n         \"module\": \"Python\",\n         \"version\": \"3.10.13 64bit [Clang 14.0.6 ]\"\n        },\n        {\n         \"module\": \"IPython\",\n         \"version\": \"8.20.0\"\n        },\n        {\n         \"module\": \"OS\",\n         \"version\": \"macOS 10.15.7 x86_64 i386 64bit\"\n        },\n        {\n         \"module\": \"numpy\",\n         \"version\": \"1.25.2\"\n        },\n        {\n         \"module\": \"pandas\",\n         \"version\": \"2.1.1\"\n        },\n        {\n         \"module\": \"matplotlib\",\n         \"version\": \"3.8.0\"\n        },\n        {\n         \"module\": \"statsmodels\",\n         \"version\": \"0.14.0\"\n        },\n        {\n         \"module\": \"pymc3\",\n         \"version\": \"The 'pymc3' distribution was not found and is required by the application\"\n        },\n        {\n         \"module\": \"theano\",\n         \"version\": \"The 'theano' distribution was not found and is required by the application\"\n        }\n       ]\n      },\n      \"text/html\": [\n       \"<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.10.13 64bit [Clang 14.0.6 ]</td></tr><tr><td>IPython</td><td>8.20.0</td></tr><tr><td>OS</td><td>macOS 10.15.7 x86\\\\_64 i386 64bit</td></tr><tr><td>numpy</td><td>1.25.2</td></tr><tr><td>pandas</td><td>2.1.1</td></tr><tr><td>matplotlib</td><td>3.8.0</td></tr><tr><td>statsmodels</td><td>0.14.0</td></tr><tr><td>pymc3</td><td>The 'pymc3' distribution was not found and is required by the application</td></tr><tr><td>theano</td><td>The 'theano' distribution was not found and is required by the application</td></tr><tr><td colspan='2'>Sun Nov 03 09:52:30 2024 JST</td></tr></table>\"\n      ],\n      \"text/latex\": [\n       \"\\\\begin{tabular}{|l|l|}\\\\hline\\n\",\n       \"{\\\\bf Software} & {\\\\bf Version} \\\\\\\\ \\\\hline\\\\hline\\n\",\n       \"Python & 3.10.13 64bit [Clang 14.0.6 ] \\\\\\\\ \\\\hline\\n\",\n       \"IPython & 8.20.0 \\\\\\\\ \\\\hline\\n\",\n       \"OS & macOS 10.15.7 x86\\\\_64 i386 64bit \\\\\\\\ \\\\hline\\n\",\n       \"numpy & 1.25.2 \\\\\\\\ \\\\hline\\n\",\n       \"pandas & 2.1.1 \\\\\\\\ \\\\hline\\n\",\n       \"matplotlib & 3.8.0 \\\\\\\\ \\\\hline\\n\",\n       \"statsmodels & 0.14.0 \\\\\\\\ \\\\hline\\n\",\n       \"pymc3 & The 'pymc3' distribution was not found and is required by the application \\\\\\\\ \\\\hline\\n\",\n       \"theano & The 'theano' distribution was not found and is required by the application \\\\\\\\ \\\\hline\\n\",\n       \"\\\\hline \\\\multicolumn{2}{|l|}{Sun Nov 03 09:52:30 2024 JST} \\\\\\\\ \\\\hline\\n\",\n       \"\\\\end{tabular}\\n\"\n      ],\n      \"text/plain\": [\n       \"Software versions\\n\",\n       \"Python 3.10.13 64bit [Clang 14.0.6 ]\\n\",\n       \"IPython 8.20.0\\n\",\n       \"OS macOS 10.15.7 x86_64 i386 64bit\\n\",\n       \"numpy 1.25.2\\n\",\n       \"pandas 2.1.1\\n\",\n       \"matplotlib 3.8.0\\n\",\n       \"statsmodels 0.14.0\\n\",\n       \"pymc3 The 'pymc3' distribution was not found and is required by the application\\n\",\n       \"theano The 'theano' distribution was not found and is required by the application\\n\",\n       \"Sun Nov 03 09:52:30 2024 JST\"\n      ]\n     },\n     \"execution_count\": 102,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%version_information numpy, pandas, matplotlib, statsmodels, pymc3, theano\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"npm_v2_py310\",\n   \"language\": \"python\",\n   \"name\": \"npm_v2_py310\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.13\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "ch17-code-listing.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Chapter 17: Signal processing\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import pandas as pd\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%matplotlib inline\\n\",\n    \"import matplotlib.pyplot as plt\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import seaborn as sns\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import matplotlib as mpl\\n\",\n    \"mpl.rcParams['mathtext.fontset'] = 'stix'\\n\",\n    \"mpl.rcParams['font.family'] = 'serif'\\n\",\n    \"mpl.rcParams['font.sans-serif'] = 'stix'\\n\",\n    \"\\n\",\n    \"#sns.set(style=\\\"whitegrid\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import matplotlib as mpl\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from scipy import fftpack\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# this also works:\\n\",\n    \"# from numpy import fft as fftpack\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from scipy import signal\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import scipy.io.wavfile\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from scipy import io\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Spectral analysis of simulated signal\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def signal_samples(t):\\n\",\n    \"    \\\"\\\"\\\" Simulated signal samples \\\"\\\"\\\"\\n\",\n    \"    return (2 * np.sin(1 * 2 * np.pi * t) +\\n\",\n    \"            3 * np.sin(22 * 2 * np.pi * t) +\\n\",\n    \"            2 * np.random.randn(*np.shape(t)))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"np.random.seed(0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"B = 30.0\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"60.0\"\n      ]\n     },\n     \"execution_count\": 15,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f_s = 2 * B\\n\",\n    \"f_s\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"delta_f = 0.01\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"6000\"\n      ]\n     },\n     \"execution_count\": 17,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"N = int(f_s / delta_f)\\n\",\n    \"N\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"100.0\"\n      ]\n     },\n     \"execution_count\": 18,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"T = N / f_s\\n\",\n    \"T\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.01\"\n      ]\n     },\n     \"execution_count\": 19,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f_s / N\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"t = np.linspace(0, T, N)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f_t = signal_samples(t)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x300 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 2, figsize=(8, 3), sharey=True)\\n\",\n    \"axes[0].plot(t, f_t)\\n\",\n    \"axes[0].set_xlabel(\\\"time (s)\\\")\\n\",\n    \"axes[0].set_ylabel(\\\"signal\\\")\\n\",\n    \"axes[1].plot(t, f_t)\\n\",\n    \"axes[1].set_xlim(0, 5)\\n\",\n    \"axes[1].set_xlabel(\\\"time (s)\\\")\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch17-simulated-signal.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch17-simulated-signal.png\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"F = fftpack.fft(f_t)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f = fftpack.fftfreq(N, 1/f_s)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"mask = np.where(f >= 0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x600 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(3, 1, figsize=(8, 6))\\n\",\n    \"axes[0].plot(f[mask], np.log(abs(F[mask])))\\n\",\n    \"axes[0].plot(B, 0, 'r*', markersize=10)\\n\",\n    \"axes[0].set_xlim(0, 30)\\n\",\n    \"axes[0].set_ylabel(\\\"$\\\\log(|F|)$\\\", fontsize=14)\\n\",\n    \"\\n\",\n    \"axes[1].plot(f[mask], abs(F[mask])/N)\\n\",\n    \"axes[1].set_xlim(0, 2)\\n\",\n    \"axes[1].set_ylabel(\\\"$|F|/N$\\\", fontsize=14)\\n\",\n    \"\\n\",\n    \"axes[2].plot(f[mask], abs(F[mask])/N)\\n\",\n    \"axes[2].set_xlim(19, 23)\\n\",\n    \"axes[2].set_xlabel(\\\"frequency (Hz)\\\", fontsize=14)\\n\",\n    \"axes[2].set_ylabel(\\\"$|F|/N$\\\", fontsize=14)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch17-simulated-signal-spectrum.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch17-simulated-signal-spectrum.png\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Simple example of filtering\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"F_filtered = F * (abs(f) <= 2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f_t_filtered = fftpack.ifft(F_filtered)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 3))\\n\",\n    \"ax.plot(t, f_t, label='original', alpha=0.5)\\n\",\n    \"ax.plot(t, f_t_filtered.real, color=\\\"red\\\", lw=3, label='filtered')\\n\",\n    \"ax.set_xlim(0, 10)\\n\",\n    \"ax.set_xlabel(\\\"time (s)\\\")\\n\",\n    \"ax.set_ylabel(\\\"signal\\\")\\n\",\n    \"ax.legend(loc=2)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch17-inverse-fft.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch17-inverse-fft.png\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Windowing\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(8, 3))\\n\",\n    \"N = 100\\n\",\n    \"ax.plot(signal.blackman(N), label=\\\"Blackman\\\")\\n\",\n    \"ax.plot(signal.hann(N), label=\\\"Hann\\\")\\n\",\n    \"ax.plot(signal.hamming(N), label=\\\"Hamming\\\")\\n\",\n    \"ax.plot(signal.gaussian(N, N/5), label=\\\"Gaussian (std=N/5)\\\")\\n\",\n    \"ax.plot(signal.kaiser(N, 7), label=\\\"Kaiser (beta=7)\\\")\\n\",\n    \"ax.set_xlabel(\\\"n\\\")\\n\",\n    \"ax.legend(loc=0)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch17-window-functions.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df = pd.read_csv('temperature_outdoor_2014.tsv', delimiter=\\\"\\\\t\\\", names=[\\\"time\\\", \\\"temperature\\\"])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 32,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df.time = pd.to_datetime(df.time.values, unit=\\\"s\\\").tz_localize('UTC').tz_convert('Europe/Stockholm')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 33,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df = df.set_index(\\\"time\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 34,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df = df.resample(\\\"1H\\\").ffill()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 35,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df = df[(df.index >= \\\"2014-01-01\\\")*(df.index < \\\"2014-06-01\\\")].dropna()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 36,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"df = df[(df.index >= \\\"2014-04-01\\\")*(df.index < \\\"2014-06-01\\\")].dropna()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 37,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"time = df.index.astype('int')/1e9\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 38,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"temperature = df.temperature.values\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 39,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"temperature_detrended = signal.detrend(temperature)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 40,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"window = signal.blackman(len(temperature_detrended))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 41,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"temperature_windowed = temperature * window\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 42,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data_fft = fftpack.fft(temperature)\\n\",\n    \"data_fft_detrended = fftpack.fft(temperature_detrended)\\n\",\n    \"data_fft_windowed = fftpack.fft(temperature_windowed)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 43,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(12, 4))\\n\",\n    \"ax.plot(df.index, temperature, label=\\\"original\\\")\\n\",\n    \"#ax.plot(df.index, temperature_detrended, label=\\\"detrended\\\")\\n\",\n    \"ax.plot(df.index, temperature_windowed, label=\\\"windowed\\\")\\n\",\n    \"ax.set_ylabel(\\\"temperature\\\", fontsize=14)\\n\",\n    \"ax.legend(loc=0)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch17-temperature-signal.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": []\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 44,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(12, 4))\\n\",\n    \"ax.plot(df.index, temperature_windowed, label=\\\"original\\\")\\n\",\n    \"ax.plot(df.index, temperature_detrended * window, label=\\\"windowed\\\")\\n\",\n    \"ax.set_ylabel(\\\"detrended temperature\\\", fontsize=14)\\n\",\n    \"ax.legend(loc=0)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"#fig.savefig(\\\"ch17-temperature-signal.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 45,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f = fftpack.fftfreq(len(temperature_windowed), time[1]-time[0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 46,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"mask = f > 0\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 47,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(12, 4))\\n\",\n    \"ax.set_xlim(0.000001, 0.000025)\\n\",\n    \"#ax.set_xlim(0.000005, 0.000018)\\n\",\n    \"ax.set_xlim(0.000005, 0.00004)\\n\",\n    \"\\n\",\n    \"ax.axvline(1./86400, color='r', lw=0.5)\\n\",\n    \"ax.axvline(2./86400, color='r', lw=0.5)\\n\",\n    \"ax.axvline(3./86400, color='r', lw=0.5)\\n\",\n    \"ax.plot(f[mask], np.log(abs(data_fft[mask])**2), lw=2, label=\\\"original\\\")\\n\",\n    \"#ax.plot(f[mask], np.log(abs(data_fft_detrended[mask])**2), lw=2, label=\\\"detrended\\\")\\n\",\n    \"#ax.plot(f[mask], np.log(abs(data_fft_windowed[mask])**2), lw=2, label=\\\"windowed\\\")\\n\",\n    \"ax.set_ylabel(\\\"$\\\\log|F|$\\\", fontsize=14)\\n\",\n    \"ax.set_xlabel(\\\"frequency (Hz)\\\", fontsize=14)\\n\",\n    \"ax.legend(loc=0)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch17-temperature-spectrum.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 48,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 3))\\n\",\n    \"#ax.set_xlim(0.000001, 0.000025)\\n\",\n    \"#ax.set_xlim(0.000005, 0.000018)\\n\",\n    \"ax.set_xlim(0.000005, 0.00004)\\n\",\n    \"\\n\",\n    \"ax.axvline(1./86400, color='r', lw=0.5)\\n\",\n    \"ax.axvline(2./86400, color='r', lw=0.5)\\n\",\n    \"ax.axvline(3./86400, color='r', lw=0.5)\\n\",\n    \"\\n\",\n    \"y =  np.log(abs(data_fft[mask])**2)\\n\",\n    \"ax.plot(f[mask], y / y[10:].max(), lw=1, label=\\\"original\\\")\\n\",\n    \"\\n\",\n    \"y = np.log(abs(data_fft_detrended[mask])**2)\\n\",\n    \"ax.plot(f[mask], y / y[10:].max(), lw=2, label=\\\"detrended\\\")\\n\",\n    \"\\n\",\n    \"y = np.log(abs(data_fft_windowed[mask])**2)\\n\",\n    \"ax.plot(f[mask], y / y[10:].max(), lw=2, label=\\\"windowed\\\")\\n\",\n    \"\\n\",\n    \"ax.set_ylabel(\\\"$\\\\log|F|$\\\", fontsize=14)\\n\",\n    \"ax.set_xlabel(\\\"frequency (Hz)\\\", fontsize=14)\\n\",\n    \"ax.legend(loc=0)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch17-temperature-spectrum.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Spectrogram of Guitar sound\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 49,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# https://www.freesound.org/people/guitarguy1985/sounds/52047/\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 50,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"sample_rate, data = io.wavfile.read(\\\"guitar.wav\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 51,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"44100\"\n      ]\n     },\n     \"execution_count\": 51,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"sample_rate\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 52,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(1181625, 2)\"\n      ]\n     },\n     \"execution_count\": 52,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 53,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data = data.mean(axis=1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 54,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"26.79421768707483\"\n      ]\n     },\n     \"execution_count\": 54,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.shape[0] / sample_rate\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 55,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"22050\"\n      ]\n     },\n     \"execution_count\": 55,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"N = int(sample_rate/2.0); N # half a second\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 56,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f = fftpack.fftfreq(N, 1.0/sample_rate)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 57,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"t = np.linspace(0, 0.5, N)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 58,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"mask = (f > 0) * (f < 1000)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 59,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"subdata = data[:N]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 60,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"F = fftpack.fft(subdata)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 61,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"iVBORw0KGgoAAAANSUhEUgAABKUAAAEhCAYAAACupBMiAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAC5xklEQVR4nOzdeXwU9f0/8NfsmTvhCDcGUC5BUJCAKELFoghq61GPL4dov5WvF9V60Z/1ai22tNZ6a7UiaqnizaFUrFwiYADlMAjIfYWQQK5N9piZ3x+7M/uZ2dnNJuxuEvJ6Ph7U7O7szOzSDZlX3u/3R1JVVQUREREREREREVEK2Zr6BIiIiIiIiIiIqPVhKEVERERERERERCnHUIqIiIiIiIiIiFKOoRQREREREREREaUcQykiIiIiIiIiIko5hlJERERERERERJRyDKWIiIiIiIiIiCjlGEoREREREREREVHKMZQiIiIiIiIiIqKUczT1CRARERER+Xw+PPLII5g9ezZ27tyJHj16xP3cMWPGRNx37NgxVFZWYt++fYk7SSIiIkoohlJERERE1KT27NmDG264AX369IEsy43ax7Jlywy37733XkiSlICzIyIiomSRVFVVm/okiIiIiKj12rJlC9LS0nDgwAH85Cc/we7duxtUKbV792707NlTvy3LMrp164YvvvgCZ555ZhLOmIiIiBKBM6WIiIiIqEkNHDgQZ5xxRtTHq6qqcMstt+Ccc87B6NGj8bOf/czQlicGUgDw2WefoaCggIEUERFRM8dQioiIiIiatV/+8peora3F+vXrsXz5cgwbNgzjx4+P2uo3Z84cTJs2LcVnSURERA3FUIqIiIiImq1du3bh3XffxT333AObLfij66233orvv/8+Yo4UABw/fhxLly7F9ddfn+IzJSIioobioHMiIiIiara2bNkCAJgxYwacTqd+f0FBAUpLSyO2nzdvHi677DLk5uam7ByJiIiocRhKEREREVGz99Zbb0XMjrIyZ84czJo1KwVnRERERCeL7XtERERE1GwNHDgQkiThhx9+MNz/8MMPY9u2bYb7iouLcfToUVx00UWpPEUiIiJqJIZSRERERNRs9erVC9dffz3+/Oc/o66uDgCwevVqvP/++xEr9s2ZMwdTp06FJElNcapERETUQJKqqmpTnwQRERERtV4+nw/jxo3DiRMn8N1332H48OHo3r075s+fDwCorq7Gb37zGyxfvhydO3dGVlYW/va3vxlCKVmWUVBQgJUrV8bV5kdERERNj6EUERERERERERGlHNv3iIiIiIiIiIgo5bj6XjOhKAoOHTqE7OxszkEgIiI6xaiqiqqqKnTp0gU2G38nqOHPP0RERKemeH/2YSjVTBw6dAjdu3dv6tMgIiKiJNq/fz+6devW1KfRbPDnHyIiolNbfT/7MJRqJrKzswEE/8JycnKa+GyIiIgokSorK9G9e3f933sK4s8/REREp6Z4f/ZhKNVMaCXrOTk5/KGMiIjoFMUWNSP+/ENERHRqq+9nHw41ICIiIiIiIiKilGMoRUREREREREREKcdQioiIiIiIiIiIUo6hFBERERERERERpRxDKSIiIiIiIiIiSjmGUkRERFSvoj3lKNpT3tSnQUQJVuHx46ONB1Hrk5v6VIiIqBViKEVEREQx1fpkXPPS17jmpa954Up0irn9Xxvw63e+xSOfbGnqUyEiolaIoRQRERHFVO0NWH5NRC3fqp3HAADvFh1o4jMhIqLWiKEUERERxeSTFf1rRVWb8EyIiIiI6FTCUIqIiIhiCgihVEBhKEVEREREicFQioiIiGISgyhZZihFRERERInBUIqIiIhiUoRQyq8oMbYkopYm3Wlv6lMgIqJWjKEUERERxSQLc6Rktu8RnVKy0hxNfQpERNSKtehQ6t1338W4ceMwduxYDBs2DFdffTV27dpl2Obll1/GkCFDcP7552PChAk4ePCg4XFVVfH4449jyJAhKCwsxKRJk1BRUWHYxufzYcaMGRg6dCiGDh2Ku+66Cz6fz7BNRUUFJk+ejMLCQgwZMgSPPfYYVA6DJSKiU4AYRAXYvkd0Sslyh0MpcX4cERFRKrToUGrSpEm499578cUXX2Dt2rXIzs7GpZdeirq6OgDABx98gEceeQSfffYZvvrqKwwfPhwTJ06EIrQe/O1vf8O7776LVatWYd26dXC5XJgyZYrhOPfeey+2bt2KdevWYd26dSguLsZ9991n2Gby5MlwOBxYt24dVq1ahfnz5+Ppp59O+ntARESUbGLHXoDte0SnFLF9r6LW34RnQkRErVGLDqWuvPJKjBs3DgBgs9lwxx13YMeOHdiwYQMA4IknnsDUqVPRoUMHAMCMGTOwZcsWLF68GAAgyzKefPJJ3H777cjIyAAQDKA++eQTbNmyBQBQVlaGl156Cb/5zW9gt9tht9tx991348UXX0R5eTkAYPPmzViwYAHuv/9+AEBGRgZuu+02PPnkk4YAjIiIqCUS2/e4+h7RqUURPt/HPQyliIgotVp0KDV//nzD7bS0NADBdrvjx49jw4YNGDZsmP54bm4u+vTpg6VLlwIANm3ahNLSUsM2/fv3R2Zmpr7NihUr4Pf7DdsMGzYMfr8fK1asAAAsXboUWVlZ6N+/v2Gbo0ePYtOmTZbn7vV6UVlZafhDRETUHInte5wpRXRq8Qsteyc8vhhbEhERJV6LDqXMvv76a3Tp0gXnn3++PluqU6dOhm06deqkP2a1jSRJ6Nixo2Ebh8OB9u3b69vk5+fDbrcbtunYsWPEccRjmM2aNQu5ubn6n+7duzf6dRMRESUTZ0oRnbp8QijFSikiIkq1UyaU8nq9mD17Np555hk4nU54PB4AgNvtNmzndrv1x+LdxuVyRRzP5XIZtrHah3gMs5kzZ6KiokL/s3///ga9XiIiolQxhFJsSz9lxbOAjNmqVaswYsQIjB49GiNGjMDKlStTdLaUKP6A2L7HSikiIkqtU2YN2FtvvRXXXHMNrr76agDQZ0R5vV7Ddl6vF5mZmfVuoz2WkZERsdIeEGwRFLex2od4DDO32x0RZBERETVHCmdKtQqTJk3CwoULMW7cOCiKgptvvhmXXnopNm3apI9IEO3duxcTJkzAxx9/jDFjxmD58uWYOHEiNm3ahIKCgiZ4BdQYYvtenV9uwjMhIqLW6JSolHrwwQfhcDjwxBNP6Pf16tULAHDkyBHDtkeOHNEfs9pGVVWUlJQYtgkEAjh27Ji+TWlpKWRZNmxTUlIScRzxGERERC2VYaYU2/dOWfUtIGP2zDPPoF+/fhgzZgwAYPTo0ejbty+effbZVJ0yJYAvEA6l2J5LRESp1uJDqT/96U/Ys2cPXnnlFUiShPXr12P9+vVo06YNzjnnHBQVFenbVlZWYvv27bj44osBAIMGDUJ+fr5hm23btqGmpkbf5sILL4TT6TRsU1RUBKfTiQsvvBAAMHbsWFRXV2Pbtm2GbTp06IBBgwYl9fUTERElm3H1PbbvnapiLSBjZenSpYaFYIDgQi/aYjFWuNBL8yPOlOJCBkRElGotOpR66aWX8Oabb2LGjBnYsGEDioqKsGDBAmzevBkA8NBDD+GNN95AaWkpgOBv9AYOHIjLLrsMAGC32/Hggw/i+eef12c//fWvf8Xll1+OgQMHAgDatWuH6dOn46mnnoIsy1AUBU8//TSmT5+Otm3bAgiGW5dffjlmz54NAKitrcWLL76IBx54ADZbi36LiYiIoChs32uNxAVkrOzatSvmgjJWuNBL8yO27/kZOhMRUYq12JlSVVVVuP3226EoCkaOHGl47PXXXwcAXHXVVTh69CguueQSpKWloU2bNliwYIEhKLr77rtRXV2N888/H06nE71798bcuXMN+5s9ezbuu+8+FBYWAgBGjhypB1CauXPn4o477kBhYSH8fj+uvvpq3H333cl46URERCklBlGspGgdzAvIWIm20Eu0RV6A4EIv99xzj367srKSwVQTCsgKxI8023OJiCjVWmwolZ2dDVmufxjj9OnTMX369KiPS5KEhx9+GA8//HDUbdxuN5555pmYx8nLy8Nbb71V7/kQERG1NGKllJ8Xra2CeQEZK9EWeom2yAvAhV6aG/PnmZWQRESUauwtIyIiopjEmVIy23tOeVYLyFjp1atXzAVlqPkT50kBrIQkIqLUa7GVUkRERJQaMmdKtRraAjL/+te/9AVkAGDo0KER244dOxarV6823FdUVKQvFkPNn7jyHsCZUkRElHqslCIiIqKYFHH1PbbvnbLqW0Bm2rRpmDx5sr79jBkzUFxcjBUrVgAAVq5cieLiYtx5551Ncv7UcH5zpRQ/30RElGKslCIiIqKYxOtWVkqdmuJZQKaurg5+v1+/v6CgAAsXLsR9990Hl8sFr9eLRYsWoaCgIKXnTo1nDqX4+SYiolRjKEVERNRMqKqK5/67Ez3aZ+LywV2a+nR0isKZUqe6eBaQmTdvXsR9o0aNwpo1a5J1WpRk5vY9zpQiIqJUYyhFRETUTKzZVY6/fr4dAHD+Ge3RNtPVxGcUFGimq+95fAH831sbcHH/Dph8Xo+mPh2iFsc86JyVUkRElGqcKUVERNRMFO0p178uqaxrwjMxMq6+13wuWt/5Zj+Wby/F7z7e2tSnQtQimUPmgMxKSCIiSi2GUkRERM1E97YZ+teS1IQnYqI009X3jtf4mvoUiFo0tu8REVFTYyhFRETUTHh84Zk+zWmVO7mZzpSSmlNyR9QCcdA5ERE1NYZSREREzUStXwilmtHFoSK07zU2LDtaVYe5X+9BtTeQqNNCmtOuf62qzef9ImopzDOlklkpVeePPUifiIhaJ4ZSREREzYRYtdCcZrvICWjfu+ed7/Dwx1vxwPubEnVacDnCP8bU+ZvP+0XUUpjb9wJJqoR85osdOOvRJdi473hS9k9ERC0XQykiIqJmwi9cIDanSqmAcvKDzlftPAYAWLTpcELOCQCc9nD7nrnig4jqF9G+l6S24ac+3w6/rOKRT7goARERGTGUIiIiaibEC8TmNHBYHHRuvohtSjZhplRzqiwjailSPVPKXJlFRETEUIqIiKiZ8AoXiIkckfTxtwfx8vIfG/18WT35SqlkMy9tT0T1S/Xqe6xoJCIiM0dTnwAREREF+QPhC0IlQamUqqqY8e9vAQAjT2+Ps7rlNngfSgJmSiWDONy8OVVwEbUUPlOYm6yZUvrxWClFREQmrJQiIiJqJsRgJVGhlFe4CCz3+Bq1D9mw+l7zuagU87GGVGAcqajD6tCMK6LWTJtjpy0akKyZUvrxmtH3DyIiah4YShERETUT/iS074mhlNzIKgjxOrI5VUopjayU+unfluPGV9dixfbSZJwWUYuhfW7SnXYAyfl8iy2BrJQiIiIzhlJEREQWvAEZRXvKU3oR5UtCpZR4/o19LUoznSklnorY+lifqroAAODz70sSfUpELYr2PSHDFQylkvH5rvEF9K85+42IiMwYShEREVl4bdVuXPPS13j2vztSdkzxgi1R14Zi0OVtbChlWH2vaS4qj9f48Nqq3ThW7dXvE8+rMQOUbaHF+7wB+aTPj6glSkWlVHVdOJSq8QWaVbBNRERNj6EUERGRhaeXBsOoZ/+7M2XH9AnhSPOqlAp/3dgWwJN1z7vf4vcLv8cv3yjS71NOctaVJEmYtbgYgx79D3YerUrIeRK1JP7Qh9vt1CqlEv/5rvaGQylVBSpq/Qk/BhERtVwMpYiIiCw0xewTsQpJTUYo1cghwyqafvW9L38Izn/6dv8J/T5D+14jKrhskoSXV+yCN6DgT5/9cLKnSNTiaNWG7iQOOq8SKqUAoLzGG2VLIiJqjRhKERERWXDZU/9PpHH1veB/6/wyvtt/otEhVSIqpcRDJ3t1roZo7KBzjfhXXOdnCx+1PgFzKJWM9j2vOZRipRQREYUxlCIiIrKQ4ban/JhiaKQFLve/twlXPv8V5q3b36h9ivOSUjno3BuQsXjzYVR4Gn8BunZXGdbtLo+4XwvoxKAu3iowsc3PJkn615LwNVFrIUe07yV3phQAHPf4En4MIiJquRhKERERWchwhkOpVA3mtaqU+uS7QwCAv/ynce1liV59LxDnzJmXl+/CbW9vwP++WVT/xhbq/DKue2UNfvHy1/D4jBe1taGqJmP7XnznJYZXDns4iLIzk6JWSPveplWGxvv5bohqrzGYborWaCIiar4YShEREVlIE0KpVA3mFVtnzO165TWNqy7wyic/U0oMf+Jt75n79R4AsKx0ikeN0PJTVm187do5NKZ9r84f3s5uC/8YZGOlFLVCsqpVSgU/C8kI4M0zpRhKERGRiKEUERGRBVkIPE6kqN1EnNdktfpeY+YeJWamlLjKXXwXrSc7p71OOFev6bxlWQulwvf5A/G3FerU2O830alO+yy5Q5VSjVkwoD4RoVQjw3EiIjo1tfhQyufzYebMmXA4HNizZ0/E4y+//DKGDBmC888/HxMmTMDBgwcNj6uqiscffxxDhgxBYWEhJk2ahIqKiohjzJgxA0OHDsXQoUNx1113weczXqBUVFRg8uTJKCwsxJAhQ/DYY48lbOUkIiJKPTHAqU3REGwxGNG6aHLSHPp9RyrqGrxPX4xwJ17iP2fxhjfxbrfsh6P4bMvhiPtrfeH33BuQMfL0dvptrVKqMTOlxEop2dCWyH+zqfVJRaWUedA5K6WIiEjUokOpPXv2YPTo0Th06BBkOfKC4YMPPsAjjzyCzz77DF999RWGDx+OiRMnQhH65f/2t7/h3XffxapVq7Bu3Tq4XC5MmTLFsJ97770XW7duxbp167Bu3ToUFxfjvvvuM2wzefJkOBwOrFu3DqtWrcL8+fPx9NNPJ+V1ExFR8nkTEOY0lHhBqIU63dtm6PfVmGYrxcNQKdXo9r2Ghzdia1y0X9LIioqbXv8G09/agKOVxsBNrAqr8yvomJMmnIOiP1/cVzzESinx7UjV3DCi5kQfdO4ItisnZaaUqVKqMStlEhHRqatFh1LV1dV48803MW3aNMvHn3jiCUydOhUdOnQAAMyYMQNbtmzB4sWLAQCyLOPJJ5/E7bffjoyM4A/99957Lz755BNs2bIFAFBWVoaXXnoJv/nNb2C322G323H33XfjxRdfRHl5cE7G5s2bsWDBAtx///0AgIyMDNx222148sknDQEYERG1HGKY05i2ucYQK3e0L8XzaExrjXgB2PhB58LXcYdS1s8XVQqzuo5WeQ2Pie+51y8bQqOARftevGGZV6yUUsSvGUpR6xMOpZJXKWUOw1MV8hMRUcvQokOpgQMH4owzzrB87Pjx49iwYQOGDRum35ebm4s+ffpg6dKlAIBNmzahtLTUsE3//v2RmZmpb7NixQr4/X7DNsOGDYPf78eKFSsAAEuXLkVWVhb69+9v2Obo0aPYtGlT4l4wERGljKHtzd90lVInGyqJYU0iVt+T42zLswuDw80XutptcYC8OVQS2+x8smJZFaUa2h3jOy8x7BKvlRlJUWukr77n0FbfS/wnwVwZxfY9IiIStehQKpZdu3YBADp16mS4v1OnTvpjVttIkoSOHTsatnE4HGjfvr2+TX5+Pux2u2Gbjh07RhxHPIaZ1+tFZWWl4Q8RETUPiqIafrtvGI6dRMZQKvhfY6VUwy/m5Cih1KETtdh9rCaufYg5VLyVFHZ7OJQyz5fSXkdlXTiUMlejiXO8ArJqaiFUIvYbb1gmVmkYzoupFLVC5kopVU18tZRW2agFXxx0TkREolM2lPJ4PAAAt9ttuN/tduuPxbuNy+WK2L/L5TJsY7UP8Rhms2bNQm5urv6ne/fuDXp9RESUPOaLproUVUopFpVSPqFlrzEXc4ZQKvR8VVVx7Utf4yd/WYb95db/TokaU5HkEGZKmUMprRoj1twuMaQKKIoxgFK0/UK4L3hj3rp9WLL1SNTzMu+XqDUL6KGUXbgvsZ8LLYTOdAWP4WelFBERCU7ZUEqbEeX1GmdUeL1e/bF4tzGvtAcEV+QTt7Hah3gMs5kzZ6KiokL/s3///ga9PiIiSh5ziJKqdhPjTKlQKCVUaTXmPKwqpWr9Mg6eqAUAbDtSVe8+DOFPvO17tujte4HQRarf0CJprJQSwyO/rBrOQbvINQZVKvYcq8HMDzbj1jfXwxdQ8OKyH7HloHFFXTH8MrbvsVSKWh/FtPoekPhKKX9ofxmu4EqirJQiIiLRKRtK9erVCwBw5Ijxt6VHjhzRH7PaRlVVlJSUGLYJBAI4duyYvk1paSlkWTZsU1JSEnEc8RhmbrcbOTk5hj9ERNQ8mC/KUnURZdW+Jw4398sKVFXFhn3HDfOYRN6AjFdX7tLDGDFE0l5HeU34ly1yHFURVlVKgdC5RCPOlDIfQntNfuH11tVTKaWaAijA2FYYUFQcCgVtAPDG6j3402fbMPHZVYb9GkMpsZUv6kshOmVplVIuYWWCRM+V0sLnTHewUoozpYiISHTKhlJt2rTBOeecg6KiIv2+yspKbN++HRdffDEAYNCgQcjPzzdss23bNtTU1OjbXHjhhXA6nYZtioqK4HQ6ceGFFwIAxo4di+rqamzbts2wTYcOHTBo0KCkvk4iIkq8yBCl6Qad+0yDzpdtL8VVL6zGlH+us9zHJ98ewh8WFeuPW1VKnfCEA60q03LtVowzpRTUeAMYPXsZbp7zTdTn2IRKKfNMLu2cYlVKeU2rDlqttKeY2grFbdbvPW44vhZy1ZlmVYVfI1Mpan20dlyxUirQiFU+Y9HaATPdoUophlJERCQ4ZUMpAHjooYfwxhtvoLS0FADwzDPPYODAgbjssssAAHa7HQ8++CCef/55ffbTX//6V1x++eUYOHAgAKBdu3aYPn06nnrqKciyDEVR8PTTT2P69Olo27YtgGC4dfnll2P27NkAgNraWrz44ot44IEHYLOd0m8xEdEpydyiluiLqIMnarHpwInI45oqpWRFjVh17p11wXbv7/ZHPh8Avv6xDEC4GsoqlBIrpeJZnt3cJrd2dxkOnqjFlz+URn2OQwilPD5j4KSFfH7DMHnTCl2yWNGkRpyD+bwCigrhkKgTgrDrXl6DMbOXweMLGI7DNiJq7bTAyGGzQStuTPRMKW0uXibb94iIyIKjqU/gZPh8PowbNw4nTpwAAFx//fXo3r075s+fDwC46qqrcPToUVxyySVIS0tDmzZtsGDBAkNQdPfdd6O6uhrnn38+nE4nevfujblz5xqOM3v2bNx3330oLCwEAIwcOVIPoDRz587FHXfcgcLCQvj9flx99dW4++67k/jqiYgoWczte4mulPrlG0UoPlyJBXdcgLO65er3i4dVVTXiuLKiIt1lRyzmAMhq0PlxTziUsgrc9pV58OLyH/GrC3uhZ/tMY0WSCthtYlWFAoc98hcwYqVUrakKSqt0Ei9OA6bXKlZrBFsFEbGt+BRFVQ1hovg+fBsK8LYeqoxeKRXxClonn8+HRx55BLNnz8bOnTvRo0ePqNvOmTMHTz75ZMRKx59++inS09OTfKaUCFr+5LBJcNps8MlKElbfY/seERFF16JDKZfLhWXLlsXcZvr06Zg+fXrUxyVJwsMPP4yHH3446jZutxvPPPNMzOPk5eXhrbfeirkNERG1DBGDzhPYzqKqKooPVwIAvtlTbgilAoYZR2pERYGsqshNd+q3/bICpykQqvIaZ01ZVUodFyqlrKoWnvtyB94tOoBDJ2rxxs2FpvY9FU672JpnHUqpUQIiQBh0HmNlQTGkCrbvGauizMcIyMaqsjpTEKZtY2wL5Ewp0Z49e3DDDTegT58+kOXI98/Kgw8+iJtuuim5J0ZJo33Psdmk4OIEcuLb98Kr77FSioiIIrG3jIiICMDGfcdxy5xv8N3+E5GDzuv5zb6iqJjyz3UY//eVqPXFvpiv8oZnODkdxn+GFUPlT+RxZUVFmwyXflsLt6Kdq2qqHtJnSglD0q1e27tFBwAAy7eX6uein4OqwiFUSkVr/xMvbM0BkT7o3BQ8GbZRxBBKiQjGgudlnMGlWLxWkaqqhvlWfiZRBtXV1XjzzTcxbdq0pj4VShHtY+ewSXrLbeIrpUKr77FSioiILDCUIiKiVu/giVr8/IXV+GLbUVz5/FcNbt9bvr0UK7aXovhwJbYdCQdFP5ZWY/zfV+LNr/fo95VVh6uUzMO1ZVPIYtW+J64YV1LpjXle5lYcrUJBvCg0DyG3okYMFI9dkQQYq76itRT6TUPcDc+Po1LKOPxcMQRhVtUYigp4/cJ+xWNy0DkGDhyIM844I6nH8Hq9qKysNPyhpiOLlVKhCsjEz5QyVkqlauEIIiJqGRhKERFRq7diu3Fgd0T7Xj2/2d+4L7zSmxgUvfDljyg+XInffbxVv0+c5ySGNapqbD9To1RKicu1V9QaW/XMvAHFsn0vYHFfLIYh46qqr9ilHcOKeAyPz7jCn1+JDMfMF6p+w0wpYyg1a3Exrnv5a0MgJiuot1JKkowhnHhMRlKNs3DhQlx00UW44IIL8Itf/AIbN26Muf2sWbOQm5ur/+nevXuKzpSsaB8BuxSulAokqVKKq+8REZEVhlJERNTqmYtkGlopdUyY0VTrDwcwe8pqIrY9ESWUMl8HKkpkpVTAFEpV1UWGUuJ+fFFCqVhtc1aMA9iNF63RKqVizXfSLlLF/US+VsXwtXgOu47VYO3ucny25YhwPMUw+LzOb1UppRruF9v3zEEk1a9jx47o3bs3Pv30U6xatQrjx4/H8OHDYwZTM2fOREVFhf5n//79KTxjMpP11fckvS03WTOlMkKLNMSz4icREbUeDKWIiKjVM4cm5oAoYuC4ohpa2sqqw9VRNd7wvqrrjBVCAHDCEw6SaoUKInMQpqiRF2+yoppmNUVe3InhTkSllKxAVdV629zMYlWORW3fE44RddB5IHo4Jj7fL6uWpUxiqCUrxiDLa3FesmKaKWWYv2X5MiiG8ePHY9asWXC73QCAadOmYfDgwfjLX/4S9Tlutxs5OTmGP9R0tO8P+qBzJH6mlD7o3M1B50REFImhFBERtSpWF1w1XmN4FCuE2Xm0GgMfWYI/ffaDfl+tEA6JrWrixZcWxIihlLFSyhxKqRFBTbB9L/Y8KENLXECJaMXxyYqxUqoRVQvm4MuKrEQPpbQKJcNMqZjte4plJZNLWPVPVozb1EYLpcRKKa6+l3Cnn346fvzxx6Y+DYqT9jl12CQ47Mlp39M+y1qlFGdKERGRiKEUERG1Gu9+sx9nPvwZ3v3G2DJUbZp5FKt97/WvdqPWL+Ol5eELb3Eot1gpJQZINaFgRlz5Tqx0Mh9TVdXI4d+m9j2rSimvaU6TYg6lAooh8InnAjEipJPjqJRSom+jvV8+8TwiXqvYvqdah1LC6oWyCkP7ntWFdUBRUReQLbeprPXjk+8ORQSUFN3MmTPh8XgM9x08eJBzoloQbXEFsVIqkODQSPssZ3GmFBERWWAoRURErcb972+CN6DgX+v2Ge4X2+zaZ7ksQqnw7V2lkXOi/FFCmlqfGFYFj+ERQg9x/pQ5RFHUyMBIUVTDBaNVICRe8Plki0qpgGIIfOqbKaWqKsyLcYnPiWfQuVW4FtyPMUD7/lAlbnt7PfaXe0zte4plJZMYjslKZABnppgqpcTzOniiFnfN24j7398Ucx+t2bRp0zB58mT99tdff43XXntNv/35559j9erVmD59elOcHjWCLIcrpZyhmVKJbN9ThYrPDBdDKSIiiuRo6hMgIiJKtW/3nzDcFqtjMlyOmO17lcJwcVVVIUmSIaQRgyJxW62tTwxrasX2PdOFoBytUsoQCEWGUl7TnCarKqdYbXPmC1JvILJ1TjyvF5b9iDlf7cGrU8/VZ8YA4Ytdq2Nor8E8cP2yZ1YCABZvPoJxZ3Y0bK9aVEqJ52FemdCKuVLKqkps0abDeP7GmLs5Zfl8PowbNw4nTpwAAFx//fXo3r075s+fDwCoq6uD3x/+//QDDzyA5557DvPnz4csy1AUBR988AHGjh3bFKdPjaBXSklCpVQCQylxX5nuYPseQykiIhIxlCIiolavWmi5kxU1IpiJ1q5W65eR4XIYKo+0WUZ1ftlw8aUdQ9yXOPdINs+UUlSLwMhY+eS1bN8zhi5WlVKx2vfMF4zB4ejGY4jP+S4U8L1btB/Tzu+p3x/PynqxwjHD8xXrSimRrKgR76GZoqrYcrDS8hiameP7xT7QKczlcmHZsmVRH583b57h9vjx4zF+/PgknxUlkz5Tyh6eKZXISikxRNcqpeJZ8ZOIiFoPtu8REVGrEOtCS6yUCiixK4PE6qaqUNufPxA550mskhKP4Y+yL3OllGJRKWVeYa4ujkHnVjOlAqa2OZG5+spXT6VU+Nwih7KHz8O6HdIXiB5cibcDsgrVavk90/Hqa9+rMq2GaFUpleHm7+uo9dA+p3ahUiqRg8jFsDlLWH3PqvKRiIhaJ4ZSRETUKlSbAgkxfKkRBp0HK6WMz9Uu0lRVRVmNT7+/KhQ8+S0qpcxVTNVaKBWlUspctSMrkeGPrCiGygPzoHNVNVZXBWdKmUMnU6VUIHbg5A0oEXGQ1ZLubTJchtt+JXrwpYVihkopc6uiuPqeokTMtTIzD4G3UlFrDAqtLr7TnfbYByI6hWifGbtNgiMZ7XvCZyzdFf5sWX0PISKi1impodSsWbOSuXsiIqK4mSuXKjzh28ZKqcj2PS28qPHJhplNlXWRQZPW3me+6NIrpYSwxdC+Z1EpFdn2psYcIO6XVUOrnV+2Dthitc2ZB5fHWyllOHfFeB7mY/hDryEQI7gS3xur2VgRx1Trr5Qyr6xn1UaU5uTv66j1UIRQSquUSmT7nl8YpO4WVsvkXCkiItIk9SevZ599Npm7JyIiips5GDluCKWEcMhiqLZ2AVVW7TXcr7WDBSwGnZsvurRAxDBTSmzfM8+UUiNnSimqMZSKaLWzaIGTldjBVmT7nlUoZbjLssLI0G4XJdTTyHqllDgM3ficaiFAModcVgJy/TOlPD7j+2V18e12sFKKWo+ARShVXwDcENpn32GX4LLbhPvZvkdEREFxD07o1atXg3deWlra4OcQERElQ8B0EXTCE27Di6iUUs2hSvD2sWqf4f7KUDuYsVIq+HVEKBUKRPxRQimrmUxWLW2BGC1vkZVTCszXfgFZjdk2Z3XbHNLVF0pFVpoZb2sXwobZVlFCPG37+i6UrQbUm3l8gZiPA6yUotZF+1wFQ6ng//cTWykV/Fw77TbYQi2CAYvvbURE1HrFHUrt27cP3bt3T+a5EBERJY15ttKJUKAkK6rFTKnwhZosrIJXa6q00QedW7TkmYObaouqqlq/DFVVIUmSZfte5Op75kqpOIaUK+ZAqJ7V9yJuyxGBkFWVg1bp9JclP+DQiVrT9pFthsFzESrMTOdeZ2ptrC+U8scRStX4IgfDm7FSiloT8XtdaPG9xM6UCu3LGaqScjlsCPhkhlJERKSLO5TKz8/H7t27G7Tzzp07N/iEiIiIksFcKaVdFJVWeQ3taeLqe2kOG2qECyhz6KMNOg8YKqWs2/e0bcXQR1GDwVKa0x7RIicrasQQclk1VkpZtdqJ/LIaEcaZq63MAZPXL5tuRw4ZNx83uF8FdX4Zz325M+KxyIovRT8XTZ0pMDIOgY8ctm7mDyj1V0p566+UcjlYKUWtg6qq+vcdcfW9+mazNYT22XeGEi+XwwaPT4ZPrj8gJiKi1iHun7xuu+22Bu+8Mc8hIiJKBnM4o1XvHAxV9WhtW4oKfTh4WmglNm1bcxhTobfvRc6U8srWlVnmqiFt+8hKKVjOgxK3MwdIVu175kApYlh6PZVSXtli9T2LUMovK9h0oCLifu0xw22LQee1fnOllLEdsL4xN345ciC7mVYppV18W9EunolOdeL3EofNBpsUGnSewJlS2vcaR6g1UKuY8gUSdwwiImrZ4g6lfve73zV458OHD2/wc4iIiJIhYq5R6PbhimAodVrbDP0xLXTRQqlolVIHT9RCVVX4FbFSynqm1AmPdSilDd+OGHQuhEfagGBZVk3DwWMPKffLikWllGI4t4j2vUbOlPIFFCzadCji/uD25vc+VCkVYyVBw/bxtO/JSr1tR9pMqQxn9BY9cRgz0alM/LzYbMFh5EByZkppFYja58v8vYuIiFqvpP7kddNNNyVz90RERHGLGL4dCmuOVNQBALq1EUKpUGuJVj0VUFQoigqv33ghVV7ji6jiqY3SvqdXSpkqBLSB3hGDztXwwHXtgk5Wje145vOJnDFlMehcMe7DPGDcevW9OEIpWUWm23oqQMTqe/qgc3GmVPSL1LhmSslqvW1HntAqixnu6KGUk6EUtRLiZ8pQKZWEUMoRqk50O7RKKYZSREQUFPdMKSuHDh3Cc889h02bNsHj8UQ8Xl5efjK7JyIiShhzMKIFItWhUCgvw6k/Zq6UAoIhlle/34Y6v4LKWn9EdY6sBFe30/aR7rSj1i+jIrTan/k8tJayVTuPRexHloVQylv/oHPL1fciWgAVQxjkl1XUeANYt7sc55/R3rJSynyNanVB6QsoiNYVZ66KsBp0HutCOCCrEW2IZsHXWl+lVCiUcjkAeC23cXKmFLUS5kopra01saGUcdC5Vo0VYKUUERGFNDqU2rlzJ8477zyUlZVF3UaSOJeBiIiaB/Ogcy0c0iqVctKEUCq0rRhK+QKK3r6Xn+3G/vJaVNYFLKuGav2yfn+HHDf2lnn0SilzQKMdf/aSHwz3qyoi2vcCimp4HT45uLqeLXQxaW4vDAY1wa+ddgn+UPufeA4+WcEfFn2Peev249bRvXB6+yzDPnwWs5qsWm98sgwJ1v/uRwSCijboPL4L02A12sm372nvT6wWPc6UotZCrCx02GxJCaW0z7j2uXKyfY+IiEwa/evAhx9+GP3798eWLVsQCATQsWNHKIoCRVGwa9cuXHrppViwYEEiz5WIiKjRzIGFdlurVMpND4dSfqEiSr9PDrfv5aW7AASHlJvnJQHBleS0i662mcFtq+uC4VNArH5CsFLLKnARW9a0bRXToHPAeHFntfqeVinldtj1/ZoDunnr9gMAXlu5OyLY8vrliCHj0WZKRWvJMbcsWlVKxeKPZ/U9uf4WP23eV6wV9jhTiloLQ6WUFFyBD0jsoHO/HkpplVKhgN3i+yYREbVOjf7Ja9myZXjrrbdw5plnwmazGaqievTogTlz5uCPf/xjQk6SiIjoZFkN/AbClUrZaeHi4fAcFJs+C8Uvh9v3ctKD23oDir4fmwRkuILBT61f1gOa7FAFlrZynrbvNqF2wRpvIKIND9DmRwUv3LQ5LOLzNeJzI1bSC4Rb2rR9BCyGn2tUWLQEylaDziMvKH0BJWr1Q2TrpDboPP5KqfoCJ29ArrfCQ6+UihFKcaYUtRZapZTdJkGSJL1Sqr7ZbA2hfa/Q2vZcWvtenJ99IiI69TX6J69AIIDTTjtNv62Y/nHp0KEDdu/e3fgzIyIiSqDI9r1QpVRo+HWm26EHUFqgZLdJwhLm4fY9rdXP6w9XRDnsNqQ7w6GUFu5kC8O/xeCmTYYrdPwAan3G6iQgVBVlqqqSLSqlKjx+PPrJVqzbXR4x+Fycs6SFUn7TCn4imxRt0Dki7jPzyUpElZX4mEgL2+KtlgjIasQ5mPll1fJ9FGn7iN2+x1CKWgftc6hVSGmhVLwVjPEdw1QpZdPa91gpRUREQY3+ySsjIwMVFRX67Xbt2mHLli367Z07d6Kmpubkzo6IiChBos010iqlMlx2/aLMJ1Q/abNQfGKllBZKBcJDw112G9JDlVIen1gpFQ6lvIHwrCltsHq1V7aslFKESintgk5WIyul/v3NPsxZvQe/ePlri4Hiit6K4w4FZlbHElkPOldjbqPdF7V9L0ooFS0cM4tnphQAlIeGydcndqUUZ0pR6yALlVLifxNaKRUwfg9zChWbREREwEmEUgMHDsT06dP1QedDhgzB//zP/+C9997D/PnzcfXVV6N///4JO1EiIqKTYa4w0sIkjy8YSmW6HBahlARXaBaTL6DolUha0BRQVD3kcdglZLqC99cKM6XShbDLG1D0IEaslLIKc2Q1vGS73npnUSn1RfFR/WvLmVKycR+1oddrRVUjq5q8shLXTClvQIkaeJnDJ+2C1LwyYDQBpf5KKQA4XnPyoRQXaaHWwhxK2ZIxU0qvlAoNOhfaoYmIiICTWH3v6quvxl133YX9+/dj1apVuOuuuzBy5Ehcd911AABVVfH+++8n7ERbig8//BBPPPEE0tPTYbPZ8MILL2DAgAFNfVpERK2e35RqaEFJdahSKtMthFJC+542A8UvtKdlCyv1ac932MKVUjXegD4s3eWwwe2wweOT4fGF5x6FK6UClm1vihKulBIHnZtfh8cfDpnM+/GJlVJaKOUPb+Oy2wwhVEBRI1oAvf5wpZTDJiGgqNar78WowDIHafqg87grpeofdA4AVXXRAzeRO0YoRdRaaN8btO97Dn31vcQdw6+H9tqgc+37Kdv3iIgoqNGh1LRp0zBt2jT99rBhw7B48WK8/PLLcDqdmDRpEiZMmJCQk2wp1q1bhylTpqCoqAh9+/bF3Llzcckll6C4uBjZ2dlNfXpERK2auV1Ea9+rFgadm2dK2WyS3m5iNegcCLf/uewSMt3CoPPQ8Vz2cCilbQsAeUKllOWgc0VcOS9yppTLYYMvoMDjDYdMEZVShkHnwXOrE0KndJcdvlrzYPPg/mxScAaTT6iUsmuhVJSZUvEWWGjvfbyzawKKqldxxFIZZygVq1KKqLWI1r4XbwVjPPQW5NC+tTY+VkoREZEmoT+V/fSnP8V7772HefPmtbpACgD+9Kc/4bLLLkPfvn0BAJMmTUIgEMAbb7zRxGdGRNQ6Ha6oxSV/W4GXl/9oMehcmykVHnRuN7WW2CVJH4ottqeJrX5a0BQcdO7Q96kFN8FQym7YFgDy0oOVUh6h1U+kqMYACgiGOdp9mVpVltCOVxXavzZw3TDo3GmslLLbJMuKIe390KrBxJlSsS4oY82UMtP+LhK5+h4AVNX549ofK6WILNr3klAppX1v02dK2bWZUqyUIiKioEZXSsXjlltuwWuvvZbMQzQrX3zxBR566CH9ts1mw9ChQ7F06VLccccdTXhmwAmPD7uO1cBltyGgqHDYJFTW+oNVAHYbVFVbqlyFzRYc4usVVppKd9pR65ehKMGLo4CihC6yVARkFXLo+dpvxNpkuCCHfpuuqMHjZbgc8AZkqAjOLVFVNfw11NB9wtcIb3PC40OX3HS4nXbISujCUA3+AGWTJNgk6MsZ26TgXAQp9F+tnaPWLyPL7UBAVlBW49NbZyRIcDttequMtuS6JEnIctsRkFW9AsBuk6D/rl4KPlf75b2E4DkYb4c3liToz5UkyfC4uB+E7jfsO3S7xheIOYC0vh/xYl3TxRoiHGu/MfcZ65n1nGwyjhn7ebGOF/tkYz6ajHM9qfcu8X/PgAq7zYYO2W5kuh2oqPWhrNoHFcHwxmYDuuSmIy/Die8OVODQiVrYJQn52W6ku+wY2DUXWw5W4M01e9ElNw0jT28Pl8OGwp5tsXZXOZ5YXAyHTcK9l/TFsB5t8J+tJfixtBr/3XYUGS47/nzNYPgCCpb9cBSvrtqNXu0z8dCEMzH36z2Yv/4AAGDWp9vwwKX9DGftCwSHZ2uhTqbbbtm+Fw5iVP17ottpg8tuQ60ih9v3hEopjy88J8rlsOmBULUQSmkzpaqjzJQyhFLCCoCaTLcDxz1+Q+VTWbVPf6zWL8Mvh78vm9v3HMJrE5VWeQEAWW4HKmr9htX3YrXe+AL1t9hp1V0BRYGqRl8F0Ky+SimtDbG+Ie7i9kStnR5KScb2vXgC4Hhp4ZNDD6WMc/uIiIhOOpSSZRmlpaXw+YzDRVVVxcKFC0929y1GWVkZKioq0KlTJ8P9nTp1wjfffBOxvdfrhdfr1W9XVlYm7dwufXoFth2pStr+iYhORprTBm8g3Pr1j5W7AYTbxzRT/7nO8vnj/74CqhpeVa60yovLn1sVsZ3HNODbJyvw+GT9uNlup35xZhx0HgqlhEHn7lDQVOsPh1Iuuw0Z4up7QoWAFoJo29ptEjLcWjudbAib/nLtYNw7/ztD0K+dgxi6aEPVRVqglJPmwLFqL3yyogfZevueT9bP16piSNuHNszdF1D0MDO8nHvwPB4c3w9nd8/D9a+siSsQcttDoZQc3+ByjayoUGzRn5Cd5kBZnEPOgZbXvvf44483+DkPP/xwEs6ETiXRBp3HW8EYD7/exhwKvlgpRUREJo0OpSoqKnDrrbfi448/jgikWiOPxwMAcLvdhvvdbrf+mGjWrFl47LHHUnJu2tLlnXPTEFBUOG0S/IoavOBQgyuj2CUpWDVls8GvKKjxBuB22OFyBCuIvAEluIKUJMEbkGG3SfAGFDhswec5bBLsNhvstmDZ9wmPDw57sO1F27bOL8PtsOtVTRIAaFVNMFYHiZVEkgQcPlGHshofuualw2EP/nZfu2BVVBVKaGUmRQ1WWSmqGvoTnCPjsNvQPsuNylo/XA4bvH4ZTodN/62g9lq0qgi7TYKsqPD4ZCiqigPHa9G3Y3gumLmaK3hf8H+0H7PMlWDQvhZ+DhO3idyvcLTQfelOOxx2oVrLQqyVo2JOZInxYGOOF/s5sY4V4/wbuShWY9+TaE9LxvnH/rtJ7PnHel5j3yu/rKCk0otqbwBtMp3IS3fBJgXnF8mqij3HahBQVJzWNgO98jMhKyqOVftQWlWHY6HqnjF985HpdqD4UCVKKutQEwpPrh3aDR6/jEWbDgMActOd6JKXjl7tM/HFthK9Uqhdpgsuhw2HK+osz3Heun0AhFlJAVmvpLTbJKQ5bbBrv8UPaBdrQpWSUInjdtj1QKdGqJTS2vc8PtmyUko7ntMuIc0RDqW0/Q7unqe39ckqItr3xOBHC7VEx6qNgZJfVqJXStmjVEpVa8GWU3/d4fY9UyWZJKFrXjqAYKukOADeittpQ5U3OHS+ITNlxFla55/RDl/tLDM8XtAu45QOpb788ssGbS9JEkMpqlfAFEqFZ0ol7hh+U6WUizOliIjIpNGh1N1334333nsPw4cPR0FBQUQYo6oq5s+ff9In2FJkZGQAgKH6SbutPSaaOXMm7rnnHv12ZWUlunfvnpRze+7Gc5CV5kCGxW/ViYhSQQtectONoYWqqth6qBKyomJQt1w9FDtw3IN3iw5gQJccXDKgEwKyghG92sHrlzFpRAHSQjOTig9X4t/r9qFn+0xcX3ga0px2HK/xYdPBCny44QA++e6QXpGjhV8ZLgeqvQH4ZRXloSCjTYYLkiTplUB+oVJKC5Tq/DLq/OH2Pa3yqDo0g8lpt4UHnfsCQoWAuG0olLLZ9NdQ5w/PYnKHQnHtvTEPKfcKK+dZVUrtOFoNAMgJvc9+IVByO8ND2IHgRaLTERk1au+JFmx5A3JE+57GbpPQrU067DbJ8H5G49KrJBTDKn/aLwJi0S6g/3zNYPxjxS7MWb1Hf0xb9TBeLnvDtm9qV111FUaOHInBgwfD4eC/5ZQY4qqaQDiUijUmoKH8pplS2rH8CazGIiKilq3RP9l89tlnWLhwIS699NKo2yxZsqSxu29x2rVrh9zcXBw5csRw/5EjR9CrV6+I7d1ud0SQlywdctJSchwiomjSnHY9hBFJkoSBXXMj7u/WJgP3/LSPfttht2HyiIKI7fp3zsFjVw403Ncm04XRffIxuk8+nr7+HMz5ajceXfC9/niGy67PcdJClLaZwRAndL0UDqVskj403OOT9UAn3RlZKeW02fRwpMYn6xUCTkd4oHi1VinlsCHdFQq7ArK+4p3LYdMr3GK170mSdRCjhVtalZM/IAZboUopoX3PqlJKY9W+57QZt7fbJEiShJy04Hyr+mjBWEBWURcIr/KX5rDplXHRaK/DJkVWAWqhXbxaWqXUjBkzMH36dIwbNw4/+9nPmvp06BShtdDZTKFUvKtixncMLZQKrb7nYPseEREZNfqnMlVVYwZSACxnKZ3KLrroIhQVFem3VVXFhg0bcPHFFzfhWRERtW4X9etouJ3pDoct5Z5wpRQgzEwS2tO07Wt94UqpdJddDzbE9r0MrRpJmCnlsocDLH0ouk0Kz3jyG1v9wi004UBJX7FKCVc2xApW9EBJDg8pFyu+tPONHUqFV99To1RKaRez5gq4aLT3wa8o+nmkOe16a088gotbGM+joavptbRQqlevXnjhhRcYSFFCRVRKSYkfdO6Tjd/DnKYVTomIiBr9U9k555yDQ4cOxdzm66+/buzuW6QHH3wQixcvxvbt2wEAb7/9Nux2O6ZOndrEZ0ZE1Hqd1i4DmUJVkVb55JMVnPBolVLBUEpffU8Or76XoVc/BfQqI7FSqkqrlLLbkOHWZkoFhLYVKaJ9z+UIt+/VivOn7DbDhaG5yknjsFkPKddooVSd0O6nnYO4+l6sVejC7XuKcPFqqpQKnWtOnKGUFgbJoVmFwfMKz/czsxpxFlxZ1XhfukUVXjzn0VKIFdcbNmzAq6++iqNHjzbhGdGpIKBXH5pnSiW+UkoLtMXVTImIiICTCKX+/ve/484778TGjRujbjNjxozG7r5FKiwsxBtvvIEbb7wRo0aNwj/+8Q8sWbIE2dnZ9T+ZiIiSZtr5PfWvtZDJFwiuvgeEW+H0UCoQniklrqhnbN8LhVXe8PDyDEP7XiiUEgad6+179nCrX10gPEDd5bDp1UeKMOg8MpSSIlrWtBAp+HUwJKo1hFLG9j2n3aa31FjRgjqx2sq8vRYm5dQz4Nx8DgFZNVRK2aOEUlahmWWlVANDqWiBXmMXU0i2zMxM/eshQ4bA6XSiS5cuGD16NP72t7+hoqKiCc+OWiptdpQWGCUjlBJn6wWPxUHnRERk1OiZUpdccgmqq6tx7rnnIi0tDfn5+bCZfoNaWlp60ifY0vz85z/Hz3/+86Y+DSIiEpzWNrzghFbN5JONLWRA+KIsPOgc+iIRFR6/0Apn14OmGrFSyhWufvKHVvALDjo3tu8FV98LtwoaQimtUspippTGYZcMwYrbYcOgbrn6qnQ5lpVS2gyr8OBhsX0vy+3Qzw8A2mUFQymvX6iUMoVEWoCWkx7fjxPa6/DLir5qYprTbhjgLnLabaFh7eH7giuzGtOjBldKRakQszfTVMr889XUqVPxwAMP4MMPP0RmZmbE40TxMFdK2ZIRSinGFkEt2A4wlCIiopBG/xSzb98+ZGZm4rTTTkOHDh0gSVJweXvhDxERUXPQMTe84IM298kvh8OgNIc5lAovla4FTWU14dVV0512PdjQ50TZbUh3WrXvRa6+5xBW3wOAytrgkHC3wwYtL5FVVa9kMIcoDruxfS/T7cDwnu3021qlVJ2wwp1WTaRVgTnskj50GAC6tzWuFKvN2ZIVNTxTylTRpJ1WtJlS5soq7X0IKCq8oUHnbqE6zMxukyJaBm2SFFHRlOZs2I8zdpsU0QKo7bs5+uqrr7B48WL4/eFh8oMGDULbtm3hdrvhdMZXqUYkkhXrmVJyAn+G9wfCFaMA2/eIiChSoyul8vPzsXv37pjbdO7cubG7JyIiSpguQiilBRi+QLhSSqt6MldKSZKkV1aVhVbqs9uk4Jwop9a+F2qHEwKsWp+sBy1OoapJr6pyGEOpilAoJVZKBVffC1dQiYLte+H70p12tM8Kr+gqtvJpzC1rTrvNEHZ1zUtD8eFK/bYWSgUUBSqMbT4a7Vyjte+lOezwy+HqK7dFpZTbaTdUdJlfp90mAcLDwfY903EaWCnltAdbAM0DnZtpJoWjR4/i8ssvR3Z2NiZMmICf/exn/OUfnTR9RcvQB8qRjJlS2mINNq19j4POiYjIqNGVUrfddlu92zzyyCON3T0REVHC9MrP0r/WqqPEtjmtUsphmillt4Urq8qqg6FUutMOSZIsWvLC7Xsef3imlEuYKaWFUi57MGzRQiEtlEpz2vWgRxVmSlm27wlBTKbbjraZ4WConRBQaSJDKclQyaS1KYr7BIIXleGZUpED14Hog87Ns55cVjOlhBUHzYKVUsbHJFtkRVND2/ccNptlVVRzrZQ67bTTMH78eGRlZWHevHm4/vrrsWzZMgwfPhz33XcfFixYgBMnTujb//Of/2z0sXw+H2bOnAmHw4E9e/bUu/2qVaswYsQIjB49GiNGjMDKlSsbfWxKLdm0+l5S2vf02XrmQecMpYiIKKjRlVLXX399vdtMnz69sbsnIiJKGDH00IKHyjo/6nzaTCljpZS++p4k6eFMeahSSqvK0auffFr7nqQPL/f4ZGhHdAnte5V14fY9IFih5ZMVPZRyCwGNrKjQOtci2vdMq++luxxIF0KlfFMoFazuityHGHalOYOr4AX0lp5wgBR19b3QzRyLyqzgeRm3187ZsPqe0x6xX/G87RbVWeaZUg1t33PYpeB7ayrQ6t42vUH7SZUHH3xQ/5mquLgY//nPf/D5559j+fLl+Oabb/DUU09BkiQMHDgQhYWFWLlyJW6++eYGH2fPnj244YYb0KdPH8iydfWaaO/evZgwYQI+/vhjjBkzBsuXL8fEiROxadMmFBQUNPj4lFqyEl5lNPjf4P3mCsKToYVP2mdcnymVwOCLiIhatkZXSo0ePTqR50FERJQSmW47JCk40+RQRS2AcFhi1b6nhT1aRZQWgGhBkypUEWnVRsHWwPBMKe051UL7XnBfwX2c8ERWSsmqClmOUillkwz3ZbrshiAqL9NYuWSXpIhqJPOg8zSn3VBxJLbZhF+jdftetNXv0kwrBGrvmV9RGl0pZZMQ0b7X0NX3zJVSeRlOFPZoixcnDW3QflJl6tSp+tf9+/fHjBkzsHDhQpSXl+PLL7/EAw88gHPOOQdbtmzBq6++iu3btzfqONXV1XjzzTcxbdq0uLZ/5pln0K9fP4wZMwZA8GfDvn374tlnn23U8Sm1tGKlcCgVDqITRduX9r1G+69WjUpERNToSqmqqir8/ve/jznTwGazIT8/HxdddBF69+7d2EMRERElzOn5WWiX6caxai/2HPMACIdDDj2UCg86z3QZAw8tuDEHRU57eKYUANSGQhenwxbRXuYKhTva/VaVUoqiQpvGZD6W3WKmVP/O2Zg++nT0ap8ZEQZpc7DM5+syhVJ5mU5UeY3VXGKbjXn1Pe1cza2B4j4Nrzu0naoG525p25hnVenHs0WGaRKkk2/fsxv3cWHvfDxzwzkN2kcqpadbV3A5nU6MHj0ao0ePxh//+EeUl5dj4cKFeOihhxp1nIEDBwIADhw4ENf2S5cuxahRowz3DRs2DEuXLm3U8Sm19EopKYmDzvUFH7S5VaHgi5VSREQU0uhQqqamBo8++igARARTkj4PQxugaMOMGTPw17/+tbGHIyIiOinv/GoE/vvDUUw7vycWbz6MY9VeHKmsAxAedC4OGQ/eht6Sp9Fum1vGtBXxJClcPQUEL8bM4Yx2YabtQ5wpJa6+h1AeZDWk3C0ET+mu4JyrB8f3AxD577LdJulVEOL5ipVSbocN00b2xOMLv8e1Q7vpQZF47eiMWH3POCfGzPweia/jcEWdfp8YPLkcNr2Kwmax+p5kUSmV4WpYKOW0G1fwi1Ko1eK0bdsWU6ZMgcvlSsnxdu3ahWuvvdZwX6dOnbBr166oz/F6vfB6wytZVlZWRt2WkiuyUip4W0noTCltkYTgzl0ODjonIiKjRodSH3/8MW6//XZceOGFuOSSS9ClSxdIkoRDhw7hs88+w/fff49Zs2ahvLwcy5cvx/PPP4+BAwfGXRJORESUSMN7tcPwXu0AAF3y0vHdgQr9MX3Qubk9zSYh0zQAXAuYzEGIy24LrtbntKPGJxvuN4dS5vY9ra0v3WnXwyNZVoHQ09wWlU/mSimRJAUro7QLQpsUGSg5TXOm0px2TD6vAPnZbozumw/V4prR/P5oF7PmmVfiPkXi6/jnV8EVfGt8AUOLnlsIpRw2CXIcM6XMwWF9zO17tmaeSj3++ONNfQqWPB4P3G7j/DK32w2PxxP1ObNmzcJjjz2W7FOjOETOlEp8FVO0Sil/AlsEiYioZWt0KPXFF1/goYcewq9+9auIxyZNmoRXX30Vq1evxmOPPYYbbrgBI0aMwEsvvcRQioiImlznXGM7lFsfdG5qT5OkiPBJC4DSTWGV1pqW7nIYQimnPbJ9TwuIzPdnpznCLYSKAm30o1WroMsw6DwylHHabfCHhlU77LaI1jun3aaviAUEwyCn3YbLB3cBEA7KRBHte6Fgxxmlfc8cppkHnwNAmwyXPkQeCAZZVaGB8HabDXab8eLVJgGmTCoiOKyP3dQW2FxX3dN8+eWXDdpekiQ8/PDDSTqbsIyMDEPVExCshMrIyIj6nJkzZ+Kee+7Rb1dWVqJ79+5JO0eKTqsITeagcy3gMs+UCrBSioiIQhodSi1cuBB/+ctfoj4+depUDBw4UP9t2I033ohf//rXjT0cERFRwnTJSzPc1iqlzKONbJKEDLe5UioUPpmDptCT8zKcOFYdvlB3OSwqpUIXZtlpxoHk2WlO4aJNhYTQoHOLWU6G9j2LmUrB/cj66zDPZnJYzJQyPG5RPWQ+D5tFpVSGyw6PaVXD8D4jQ6nLB3fBc//dKZxHeBu7LfI8bFLkTKmGt+/ZDC17zbxQqsGhVKr06tULR44cMdx35MgR9OrVK+pz3G53RHUVNY2AKZQyty8nglb1GA6l2L5HRERGjV59r7y8HLYoSzgDgN1uR2lpqX7b5XJFHdRJRESUSl3y4quUstmkiMAnPUr7nnbR1TYzPM9HkoKhirlCSKtQykk3Bl5ZbofeIhdQVP3i0FyJ5LTb9HMGIgMl8XyA4DlEDjqPnCklsgqlzPdpt11CxVWGULVkfu/sNgkf336+4b78bLchMBOHtAcrpeqfKdXg9j27sQWwuVdKNVdjx45FUVGR4b6ioiJcfPHFTXRG1BDmSiktNE5kKBVQwq24QPj7Etv3iIhI0+hQqm3btnjhhReiPv7888+jXbt2+u29e/cylCIiomahc66xUkqrOjKPRrJJwQs2sXpHC0AiK6WC27QTQqkMZ3AAebRKqZyISimHIfjxafNYbJIhiImYKWURyriEEMrcrhY8h8iZUiLz9kBk+164Uir83Ex3+GvzPm02Cf06Zxvuy892G2dKOY1hmjkIkywrpRpW+O20mSqlmnupVDMxbdo0TJ48Wb89Y8YMFBcXY8WKFQCAlStXori4GHfeeWdTnSI1gN5aFwqjtPw3kaGUFj5p7cYOVkoREZFJo9v3pk2bhhkzZmDJkiW49NJL0a1bN/h8Phw8eBAfffQRVq5ciT/+8Y8AgDVr1uCee+7BOec03+WWiYio9YiolHJEmSkVCisyXA7U+YNzj9L0mVKmQeehfbTLCodS2twpc4Cl7SM7zfjPcHaaIyL4AcKr0GkhlcNmQ166cByrSikhtLKbhpoD2up7QoVSPcPSAURUW2kzpcT5VuJ8J3P1lV2SIloAs92O6JVSknn2U/jcRE57MLyKd0Cz3W4MtphJBfl8PowbNw4nTpwAAFx//fXo3r075s+fDwCoq6uD3+/Xty8oKMDChQtx3333weVywev1YtGiRSgoKGiK06cG0iulQp9r7fMsJ3CmlF+2rpRK5DB1IiJq2RodSs2cORPbtm3D22+/jcWLFxseU1UVU6dOxf333w8AeOWVV2C32zFlypSTO1siIqIEyM9yGwIXLZCxml8EBFv1ymuC92kBkHm4tha2tM8Kz8vRWvyyzHOpQsGLuVIq0+2wrFJw2KRgFUNofrrTLqGzMBfLqqpJDKHsFhVHTptxWLo5QNKeJ4ZS5plQ+up7YiglVErZI1briwyUJEkyrOonhmN2mwSHGtlmZ361tlA1mnk4e9+O2Uh32dExx40lW0v0+4OVZ2zfM3O5XFi2bFnUx+fNmxdx36hRo7BmzZoknhUlixYMad8btM+hkpTV94yDzv0BVkoREVFQo0Mpm82GN998E7fccgvef/997NwZHFLau3dvXHvttRg1apS+7T//+c+TP1MiIqIEsdkkdMpNw/7yWgBipVT0UEqjhSZ5GcZASW/fswilctKN22rtgGKlVJozOONJQuTFmt0m6VUM2m2n3YbxAzthza4yXNSvQ8RzIkOpyLlUYtVSpjvyRwKnzYY64XwcESFT5CqC4vB2u0UAZUUMhcRWSYddgmIRSpkzOJsUbGesNi4Eh6w0B97/v5HYc6zGEEo57DaIbwdDKWqNtBXwzIPOE1nFFJCNq+8ZVxclIiI6iVBKM2bMGIwZMyYBp0JERJQ67bPceijVJjQHyhxKaZmNVaucOZTSAhtxppTW4ud2BAMgrf0u3L4X3keW22l5Dtp94v3aBd6Lk4ZCVVXLsMcwU8pUjRQ8X+Ogc6sV7CKeE/H+SIbXCQB1fjniPMXzEF1wRvuI/bodpkop4Ry0p5tnQElS5LmKx7NaeZCVUtTayaZKKe1zkqhKKVVVw3Or7MaqSg46JyIiTaMHncfj8ssvT+buiYiIGu3KwV0AAP06ZUf8Fl+jhT0Duubo96UJLXni9lpYJYZSeaEKKUmSIqqiAOPqezmhx7VZTiKHzWYIVsSvo1UfiYGQzRYZSjntkmHulLkdMXgcYR9SfJVkq38si3jcfN4/Ozv43k85ryDiOOKg8+BMKfEcQu17Fvs1V4IB4cHNEUPebTbOlKJWT2/fsxsrRRM1U8rQ+mv6HisrakLbBImIqOVqdKXUvn37Yj6uqirWrVvX2N0TEREl1ZTzeqB/5xwM7p6n32euwNEqbU7Pz9Lv08InSZKQl+HCsVDPmNb+Jg46F+dL5aQ7UVZjHJZuqJQSQiuHzQa/LAu3jeGMObSyIoZSwUHgke17uUJbYYbbYli63Rh+RVaSGYcXA8GAyuMLnnvP/EzD9tr7++TVg3Dr6NPRv3OO/vo0Yjhms0mGH1S0HMlqppTVeyLBulLKbpMg5lpcfY9ao2iVUolafU9cYU9rFRaDcL+iwG2L/L6TLBv3HcerK3dj0ogCnHd6u/qfQEREKRF3KPXTn/4U5eXlKCoqgiRJ6NGjR9TfzhIRETV3NpuE4b2MFybR2tM654aHiovzk9pmOoVQyh66LxxEiS1+OYZKqeC2Yigk/pvqMFRCBc9V7ISzavEzM6++F9m+J+GMDlnISXPA5bChbYbLvAvDcRy2yFBKPM+BXXOw5WAlLhnQCZNGFGDPsRoU9mhr3F/oNaY57XogBRgHoovhmMtug0+YaRWeKWWu2LJ+T1SoEa8DCIZtYishf5yh1shvmimlr76XoFAqYKiUCgXYQjgekFVYjLJLirW7yjDln+vgDShYWlyC9/9vJAZ2zU3NwYmIKKa4/yk4dOgQKioqoCgK7HY70tLScN1110XdXlVVfQlhIiKilsAcXmhhRceccCgltqq1EYIcrcInTwiaHEKSJFZFacHWaW0z9Pt+PFotPC8yoLIbQqv6u+8jZkpZtLBluR34/J7RcNptltVCYgWUy26LDIOE57w2dRgWbjqMa8/thpw0J4YWtEFplXHyuD3KaUerlHKaBp3rM6VMpxpseYzcuV4pZQqgJMk4U8o864qoNUh6pZQwzFw7hljRGEjRXKlj1V7839sb4A2t+OcNKPhgw0GGUkREzUTcodTGjRshyzLs9tBvd3Nz8frrr8d8zpIlS07u7IiIiFLIHE5oF2kdssU2vPA/nYb2t1BYJQY1vdpnWj6vrTBYfViPNvhmz3FMDs1XAoxhll7FYBFUxVLf6nta8CUGbmbicVwOW2QbnPB+dcxJwy0X9DQ+HmUGlZm4nbgKoMNuM6wEZlUppT01zRnZBmQ1GF0yPRbrvIhOZVFnSiW4fc9pl/RKUPGz7pNTswLf8h9KUV7jQ6/8TNww7DQ8sbgY+8o9KTk2ERHVL+5QyuUylvXPmTOn3ufEsw0REVFzYbdbhyjthNlQ6U7rfzrFgOrp687G5oMVuPLsrvp9WULYIs6aevOW4Viy9Qh+emZH/T6noW0udMEoVkpFKzkSiKGUw25RKRXHPswr/plDu/oKtqKFfGbGSil71Me0L60CJZcj+skY2yGjB1tErYm5Ukr7TCRq0LlWCSV+r5EkSV+JNKCkJpQ6XBFcZfXcgjbo0ykbALCvvCYlxyYiovo1evW9Xr164fHHH8cLL7yg37dw4UL06tULeXl5+PWvf41x48Yl5CSJiIhSISJ0EX67P3N8P0w7vwf6d87WH1fUyNWlAOBn53TF7yaeaQhKxIqftsIKfWlOO648uysyhLY1MRyz2yIrDBpeKRVszxOfFk8oZRiW7pAiWvzqayOMCPminLc4xD1DCO8URa139T09lIrxeuwWwVY8KxgSncrMM6W06slEZUVaJZT5+5V2HH8gNe17hyvqAACdctNREGqZ3lfugZqg8I2IiE5Oo0Opf/7zn3jqqadQVhZc+rmkpAQ33HADDh06hNNPPx0vvfQS/vGPfyTsRImIiJIt2upyAHDr6NPxyOUDDAFGQ65pxOXRY1X1AMZhwOZ5LwAihpZbcTkiQyyHaUW++kRUSplOu75ZTBGVUlG2j1YppaiqaQXA4H/FvybtvljviSGAglYVYv04UWsRMVMq9GFKVAWTVill/n6nHc+fokqpI6FQqnNuGrrkpcMmAXV+BaXV3nqeSUREqdDoUOrzzz/He++9h9/97ncAgLlz56Kmpgbz58/H+vXr8c477+C1115L2IkSERElm/k3+vVlFbeOPh2SBNw0ske9+752aDcAwDWh/8Y8D4tKKbHdrKFVTtpzHbaG7kOYKWW3GaqWgDja92KEfNHuF4MzWQXShZDKuvVOG6Aco1JKDMP0FkC271HrZp4ppVUyKioSUkXk1yuljJ9NLaTyp2imVLhSKg0uhw1d8tIBAPvKOFeKiKg5aPRCrCUlJbj44ov12x999BH69OmDyy+/HABw5ZVX4rbbbjv5MyQiIkqRiMHc9aQVhT3bYv1DP0WbDGfM7QDgwj75WHbvGHTOiz5YPHwekZVSVkFVLIaZUrbIUCqeaivxYtJqplR95xHvoHPDeQlfy4piWI3PaqaUdoxYlV9Wg86N1VZMpaj10Sql7KZKKSAYTMXxLSImPZQy7Uj7vpKq1feOVIYrpYDgqqcHjtdib5kH5/Zom5JzICKi6BpdKSX+BqWkpARr167FNddcY9iGP+QREVFLElEJFMe/Y20zXXH/e9ejfSbcjshV4szEgEWby2QYdN7QmVL2yGqiWDOY9OOIlVIOi/a9es7D/HDUSqkogZsvoCLDHX6/rGZKaV9aVUpZ/bVYreDH9j1qjfymmU/i5zARLXxay7L5e40z1FqcitX36vwyymt8AIDOOcEKKa1SqqSqLunHJyKi+jU6lOrQoQNWrVoFAHjxxRehqiquvvpq/fF9+/YhKyvr5M8whh07dmDkyJEYM2aM5eMVFRWYPHkyCgsLMWTIEDz22GMR5cgHDx7ExIkTMXLkSAwZMgQvvfRSxH6+//57jBkzBqNGjcK5556LDz74IGKbVatWYcSIERg9ejRGjBiBlStXJuQ1EhFR6pjDnvpmJqXiPLSqAluUaqJoXPbI7aO1ycVzHk67FBHS1ff+SJJkOWS8vuNoIiulIudBxdO+J9Kea4vjvIhOZTErpRKQFwWiVEo5U1gpVRKqkspw2ZGTHvxe0i600ER5tS/pxyciovo1un3v5ptvxvjx49G3b19s3LgRw4cPxznnnAMAWLduHX7729+isLAwYSdq9uabb+KFF16A3R79N86TJ09Gu3btsG7dOng8HhQWFiInJwd33303AEBRFEycOBE/+9nP8Mgjj6C0tBRnnXUWOnTogKuuugoAUFVVhXHjxuGJJ57A1KlTsX37dgwdOhTdunXTX9/evXsxYcIEfPzxxxgzZgyWL1+OiRMnYtOmTSgoKEjae0BERIllbtdrqgoaR72tdw2bKRVucWvYoHPjYHRb3DOiDNtIEmQELz6jtUMaq5aMs7DcFkPhjTOlgv/tlFN/WyQgzqWy3h9Ra6HNlNK+L4ifZzkBM6W0SihzYKzdTsVMKW3IeaecNP2z30YLpTwMpYiImoNGV0rdfvvtmDFjBmpra3HppZfi7bffBhAMeq677jr8+OOPuPHGGxN2ombt2rXD8uXLccYZZ1g+vnnzZixYsAD3338/ACAjIwO33XYbnnzySSihX/8sWrQIW7Zs0UOq/Px8TJkyBX/84x/1/cyZMweyLGPKlCkAgD59+mD8+PH485//rG/zzDPPoF+/fnrF1ujRo9G3b188++yzCX/dRESUPOZVoupbJS9ZxADKatB5XO17jshgy7yaXkPOw2W3GWczSfG16YvHjGf1PYdNws3n94TbYcOMi3ujss6vP+bxBQBYB0q3ju6FCWd1xkuThsQ8n/BMKfG1MJSi1ieiUkoMpRJQxaRVQplDdK1yKhWhVFVd8HtGTnp47l/bjGAodbyGoRQRUXPQ6J+2JUnCH/7wB2zduhWLFi1Cz549gzu02bB7927s3r0bl156acJO1Oyyyy6Dy+WK+vjSpUuRlZWF/v376/cNGzYMR48exaZNm/Rt+vbti5ycHMM269evx/Hjx/Vthg4daviBddiwYVi6dKnhWMOGDTMc37wNERE1f+aqnHjmLiWDoVLKHjnovLGVUuI+4gqlzJVSDQzGxGObvzZsY3q9v5vYHxt+91MM6paHKwZ31R+r8ckAzDOlgl9npznx/P8MwaUDO8c+Ia19T6zOYiZFrVDAPFNK+EwkolJKC51c5vY9e+ra92pCQXamMJuurVYpxVCKiKhZaJqftlNg165d6Nixo+G+Tp066Y9p/9XuM2+ze/fumNtUVFSgvLw85jbacax4vV5UVlYa/hARUdMyh1LaQN5UcxqCnNBMqQYGQi6L4eFOi1X9YhG3yXQ7DLfjbXmzx/Ec8wwtSZKQ6Q5OGOiUG27L8wWCF7niXhraYamdj3gq9a2ySHQqCpgqpcTPgVZFdTL8oX04bOb2vdRVSnlCQXaGMJuO7XtERM3LKRtKeTweuN1uw33abY/Hk5JttMetzJo1C7m5ufqf7t27N+j1ERFR4plXxmu6Sqn6hpTHEUoZ2vciZ8bE05poDKXshovWeOdtxVUpJdyf7qp/dULjTKno5yEh8jEteBSPyfY9ao1ki9BI+8wnJJQKhchOc9ivzZRKwDHqU+MNVUq5Iiuljtf4LZ9DRESp1axCqUcffRSSJMX8U1RUFNe+MjIy4PV6DfdptzMyMlKyjfa4lZkzZ6KiokL/s3///rheFxERJY85qIl3RbdEEy8S9da7Bq6+Z9W+Z2/gPsT2PbfDFtd8KDNjKGW9jbinDGccoZSwn1gvwyrg0oJHq2HpRK2JViklhtxa8JyI9r1AaIar0/QB076vaKFVMumVUu5wpZQWSlV7A/AG5KSfAxERxdbo1feS4d5778X06dNjbtO+ffu49tWrVy+UlJQY7jty5Ij+mPbfL774wnIbbUZWr1699PvEbXJzc9G2bduY22jHseJ2uyOqq4iIqGlFzJRqqkHnFpVSxva9hs2UsgqgzNULluchPM/tsBvnMMU5iMkeR1WTX5gtE0+llFjZFKv1Ljst8scc7e9YfFq8ARvRqcQ8UwoIfxaUBFQx+WTj6n4aLaTSQqtk0mdKCd9XctIcsNskyIqK4zV+dMqt/3sOERElT7OqlMrKykKnTp1i/nE44svRxo4di+rqamzbtk2/r6ioCB06dMCgQYP0bbZv346qqirDNkOHDkWbNm30bdavXw9V+I1RUVERLr74YsOxzBVc5m2IiKj5S3M240opw6DzhlVKacGNivC/Zc44gi3xOOZKqXiCMSC+9j1xtow5GLRinCkV/b3ISXNG3OcO/R1LcbYAEp2qzDOlgMS27+mhV5RB574UDDr3eCNnSkmShDahFfjKaryWzyMiotRpVqFUIg0aNAiXX345Zs+eDQCora3Fiy++iAceeAC20A/SEydOxIABA/D0008DAI4dO4a5c+fit7/9rb6fadOmwW6346233gIA7NixA59++inuv/9+fZsZM2aguLgYK1asAACsXLkSxcXFuPPOO1PxUomIKEEiZko1VaWUxUViQyulXI7IfYiccQRb4vNcjpNffS9a+HNB72AVdJ+OWZbznTJM1VPxtt6d3T0v4r5w+174PmZS1BpZzZSy6VVMiQilgvswz+bTQqpACgadW62+BwDtOFeKiKjZaFbtew3xySef4KmnnsK2bdtQV1eHMWPGYPLkybjlllv0bebOnYs77rgDhYWF8Pv9uPrqq3H33Xfrj9tsNixYsAC33norRo4cibq6Ojz88MO46qqr9G2ys7OxZMkS3HbbbXjllVdQW1uLOXPmoLCwUN+moKAACxcuxH333QeXywWv14tFixahoKAgNW8GERElRMTqe3G2qCWaw7ByXuRg7oZWSoUHnUdWYMU+D+NMKTELS+Sg89Pzs7Dk1xeiXZbL8vEMl12fDQPUP+j8/f87Dxv3ncCVZ3eJeMxq0Dkrpag1spoppX0ulATMlPJFqZTSQqqUrL5nUSkFAG0yg1WUXIGPiKjptdhQ6oorrsAVV1wRc5u8vDy9wimabt26YdGiRTG3GTBgAJYvXx5zm1GjRmHNmjUxtyEioubNXCkVT4tbMljNg2rokHJxH1rFlzhwOJ4V58Tt3U57g4MxIL5QCgD6dsqO+lia01wpFf7a6mUMLWiLoQVtLfelhVLi6483YCM6lVjOlEpo+571TCnte4c/Be17WqWUudpSG3ZeXs32PSKipnbKtu8RERE1VIapxSPWEO1kMlwkhi7gxIAsnrZCq1CqoRVBYmWVy26zvHitdx8JmN0U8XqF3TR0n1rAJT6PhVLUGlnNlNI+r4kIpbRKqIhB56mslPJZV0rpoZSH7XtERE2NoRQREVFIUw02N7NbrL4nBjPxnKc4x8UV2l9DwxexGsrpsJnmWsW3M8kQIDXs+BrzTJr62vesaJUSF/bJjzgXtu9Ra2Q1UyqRlVJ+RQulrAedB1JRKeW1ninVNkObKcX2PSKiptZi2/eIiIhOVWIIo10kikFUPKGUUxh03thKKXOw1ZjV9xLRJmd+vY2pclp01yis3VWGa8/tHrEPtu9Ra6SFQlYzpeQEzJTyB7T9W8/qa8pKqTZapRRDKSKiJsdQioiIqJkRZyhZVUqZK4esWLXvjerTHl/vKov7PNxO47B0Q6VUnDOlxK0a2w5prrRoTJVTz/aZ6Nk+0/J5zKSoNQooSZ4ppVVKmT5gDr19L/mVUp4oq++1ZShFRNRsMJQiIiISpDltqPMn/zf4saSLoVToAs5laKWrP0UxVjkF93fLBT1RXRfApQM7xXUe4mqEToct7qHl0dgb2SZnrpRKRPWVcVg6UylqXRRFhZY7GVeiDP43FTOltNAqmWpCq+9lRpkpdZyr7xERNbnmMTyDiIiomYinCinZxEop7Xwa3L5nUSnldthx/6X9MKhbXlznIa5G6LSZ2/caPlOqsQHSRf06AADyMpwR+2xslVNj5lIRnSrE9jyxFTeRQ8j9cpT2PVtq2vdkRUWtX2vfM1ZKtQnNlCpjpRQRUZNjpRQREZHAfAHVFNJd4kViZGAS3+p7kuXXDSEeJ8PtOOkgp7Hhz80X9ER+thvnnd4uYj+NrXISR2I1g7/yZuPDDz/EE088gfT0dNhsNrzwwgsYMGCA5bZz5szBk08+iU6djJV3n376KdLT01NxutRI4pBxcWEFLRBPRLVouFKqadr3tEAKADLdxkuedlnhQeeqqrJakoioCTGUIiIiEjSHqhmr9j1vIHyRmOWq/59vpyOyUqqhxPa9LLfDcvZMQ8RbXWXmtNtw1ZBu+m1bAiqlpAQEW6eadevWYcqUKSgqKkLfvn0xd+5cXHLJJSguLkZ2drblcx588EHcdNNNqT1ROmli65z4uUwLzZGrEwKdRh8jFDpFtu+lplLKE1p5zyYZv5cB4UqpgKKisi6A3HRnUs+FiIii4+8GiYiIBM2hasYthFLaBV116AILiG9guBhsafNTGkoMs7LTHIbjxpvjiIt4NXbQuVkiWu/sbN+L8Kc//QmXXXYZ+vbtCwCYNGkSAoEA3njjjSY+M0o0cWaUMZTSKqVOPpTy1TdTKsmVUjW+8Dwpc/Cc5rTrLX3H2cJHRNSkmsGP3kRERM1HAlZCP2lioKTNX7lx+GlwO2y4+fyece3Dabfh2RvOwe8mnol+nXIadR7ie5HldhiqoyTEF+Qk++1sbKCUiGqrU80XX3yBYcOG6bdtNhuGDh2KpUuXNuFZUTIEhFBK/FynhebI1QVOvoopEAqlzCt1aqGUL8mVUjWhID/DtPKeRl+Bj8POiYiaFNv3iIiIBM0gkzKGUqFqpT4ds7H1sUsa1DZ3+eAuJ3UePuHCNMNlN8yZib9SKvHvqHGmVOP2YVjBj5VSKCsrQ0VFRcR8qE6dOuGbb76J+ryFCxdi7ty58Pl86NKlC2bOnIlzzjkn6vZerxder1e/XVlZefInTw2mVSnZbZLhs6C173kTUCmlzYwyLx6hhVSBZLfv+axX3tO0y3LjwPFalFZ5LR8nIqLUYKUUERGRYFTv9gDCF2dNId0V2b4HBOdLpXL+kbbaHRAMcWyNeEuSUXkmnkfjK6U4U0rk8XgAAG6323C/2+3WHzPr2LEjevfujU8//RSrVq3C+PHjMXz4cGzcuDHqcWbNmoXc3Fz9T/fu3RP3Iihu2kwp85y3RLbv+aNUSrlSNOi8xhe7UqpzThoA4PCJ2qSeBxERxcZQioiISPDg+H645YKeWHjnqCY7h6554ZXLaoRZUqk2tKAN7hrbG8/eEKx8sTciyFGTUHtmmCnVyJ9k7IbV9xhKZWRkAIChikm7rT1mNn78eMyaNUsPsqZNm4bBgwfjL3/5S9TjzJw5ExUVFfqf/fv3J+gVULwOV9TihMcPIFYolcjV96wrpZI/6DwYrGVEqZTqEvo+e6iiLqnnQUREsbF9j4iISNAhOw2/m3hmk56DuHx5Ra2/yc5DkiTc89M++u3GhDdJqZQyzIM6+UopZlJAu3btkJubiyNHjhjuP3LkCHr16hX3fk4//XT8+OOPUR93u90R1ViUOkcq6jDqT1/qM6XMn2l3qEL0Hyt3wWGX8OuL+0TsI17aMZxRZkolO5TSKqUyXdaVUl3ygpVSh1gpRUTUpFgpRURE1Az935jTkZPmwOQRBU19KjqxOspcYRFNchp0Tn7lPIntexEuuugiFBUV6bdVVcWGDRtw8cUXW24/c+bMiNa+gwcPsiWvGdtbVmMYcu4wVTFpg869AQVPL92BnUerG30srT0vcvW90EwpJbntex590Hk9lVLNPJTadqTSsPoqEdGphqEUERFRM/TApf3w7cPj0KN9ZlOfiiXz8OJokjPo3Prrxu6D7XtBDz74IBYvXozt27cDAN5++23Y7XZMnToVQLA9b/Lkyfr2X3/9NV577TX99ueff47Vq1dj+vTpqT1xips2/FsTrX1PU1bdsCHgNd6APo9KnyllM4dSqZoppQ06j1YpFQylDjfj9r2N+47j0qdXYtxTy7G9pKqpT4eIKCnYvkdERNRM2ZpxWKKtClifZFx2Glvv2L6XKIWFhXjjjTdw4403Ij09HTabDUuWLEF2djYAoK6uDn5/uJ30gQcewHPPPYf58+dDlmUoioIPPvgAY8eObaqXQPXQWto05kDWvMBDQyp0Tnh8GPvX5eiVn4n500fqq+u5HMZjaCFV0mdKaYPOo82Uyg2275VU1iEgKxFVY03li+ISeHwyLh/cBSu2HwMQnHv1+4Xf481bhjfx2RERJR5DKSIiImqweCulkpFKJWLlPDHwa2ywdSr6+c9/jp///OeWj82bN89we/z48Rg/fnwqTosSRBv+rfEFjMGQuVLqWAMqpVbsOIayGh/Kanw4WlmnV0JFVkqF2veSPVMq9Fozo6y+1z7LDaddgl9WUVLlNSww0VQOnajFLW8EW2jP6pqLDfuO64+t3V2OOr8c8XdERNTSNY9fCRAREVGLEndRQRLyHinB7XsMpai1MFdKVdUZb5srpUqr4g+lth8Jt5dt3H8i6up7qWrfq69SymaT0DEnWC11uJnMlfrX2n3611/+cBQbhVDKF1CwYe9xq6cREbVoDKWIiIioweIdFeV2JP63+lICAiVD+x5/GqJWwjxTymeqVkpzmCulfHHv+7sDJ/SvN+4TQylT+17odjzte3/6bBsmPLMSlXUNX4W0vplSAJCfHVwJsiEVYcn0/oYD+tdzv96LyroA0pw2XD64C4BgUEVEdKrhj2FEREQUtwvOaA8AuGRAp7i2N1+QJkIiAiXDoHNWSlErUVPPjChza1hpnGGNqqrYfLBCv71x33EEtPY9U6WUyx7/TKkXl/2IrYcq8c66/XGdh6i+1fcAID8rGEqVNiB8S5ajVXWGoeu7j9UAAAZ1y8OEszoDAN74ei92lTZ+RUQiouaIoRQRERHF7anrBuO96efh4jM7xrX9aW0zEn4OiZgpJSVgH0QtxQmPDyWVdRGVUmZuU/vesRjtezuPVuHNNXsRkBWU1fhwwhOuZtpf7tGrsCIrpYLHCNTTvieGViWVDV8hL1wpFSOUClVKNaRNMVm+P1QJAOiVn4kOofMCgCGntcElAzpiVO/28AUU/PmzH5rqFImIkoKDzomIiChuHbLT0CE7Le7t7x3XF9/uP4E7fnJGws4hEfOgxFXHzCuQEZ1qRj75X3h8Mi4ZEDtMbsig899+uAXrdpeja14aCtplGh6rqgsgoARDp8iZUsHPm7l10Ew8dllNwyuZ9JlSUQadA8Fh5+ZjNZXvDwdDqQFdcuF22PDe+mAr35DT8iBJEn438UyM+9sKfLb1CLaXVKFPx+ymPF0iooRhpRQRERElTY/2mVj1wEW4vvC0xO3U0HrXuF3YEjAsnagl8PgCeoXU+r0nYm4b70wpRVGxNdSut+eYB5W1wSopbVB6lTcAOWooFaqUUsKVUt/sKUeZKRgqqQzfjqdlTVGMlVfaSoMtrVLqzM45GN0nX79/SEEbAECfjtm4NNQ2/e43DW9nJCJqrhhKERERUYtimCmViEHnbN+jU1iZECzVVxFkXn2votZvOfvp4IlavT2upLIOlaFV/LrmpUds6zAlx1ooJSsqFEXFy8t/xLUvfY3ffrjZsN1RoWVv59FqqDFWV3j+y50Y/Nh/sO1IpX5fjb76XsuolNJmcp3ZJQej++ajW5t0jO6Tr58jAFxxdnDg+X858JyITiEMpYiIiKhFMYRIjcyTJMOwdIZSdOpqSOubuX0PCFcciYoPh8OfwxV1eqVU+yw33A7rweYaMaQ6VuPFrE+3AQCWbC0xbFciVC/V+GQciTFXavaSH1DlDeDhj7dGnHdmrEHnzaRSqqSyDnvLPJAk4JzT8pCT5sTK+3+CN24uNGx3Qe/2cNgk7CqtwflP/hcX/WUZyhvR2khE1JwwlCIiIqIWJREZEtv3qLUwt8UBwIRBwdXcBnXLNdxvFUppFUcAsG53OX7x0tf4t9A+dqSyDpV1wVAqJ92JnHSn4fkO0wdMDKk27D2uf52dZgyPjppCKHGQejRauKSqqn7emTEqpbSB4seqvTErsZJt7e5yAMHWvZy04PtntQBDTpoTw3u1BRCsVtt1rAbLWDVFRC1ciwylysvL8eijj+KCCy7AmDFjcPbZZ+MPf/gDAgHjMrcVFRWYPHkyCgsLMWTIEDz22GMR/+AcPHgQEydOxMiRIzFkyBC89NJLEcf7/vvvMWbMGIwaNQrnnnsuPvjgg4htVq1ahREjRmD06NEYMWIEVq5cmdgXTURERAAAqbHlUQLDoHO279EprMxiLtSUEQWYP/08vP3L4Yb7ze17QHhg+LFqL37x8tdYt6cc/90WDkJKKutQWRvcJifNaQiXJClyIQExpDpcEQ6equoCCAitgkcrjWFajdf4c75GnCWlVWx5Awq0uzNiVEpprXF1fgXVUfafCmt3lQEAhvdsV++2j10xEP8zPDyjr0gI9hpiX5kHY2Z/id8v/L5RzyciSpQWufre4sWLMX/+fKxevRq5ubk4dOgQhgwZAp/Ph8cff1zfbvLkyWjXrh3WrVsHj8eDwsJC5OTk4O677wYAKIqCiRMn4mc/+xkeeeQRlJaW4qyzzkKHDh1w1VVXAQCqqqowbtw4PPHEE5g6dSq2b9+OoUOHolu3bigsDJbU7t27FxMmTMDHH3+MMWPGYPny5Zg4cSI2bdqEgoKC1L9BREREpzApAb9SE6sQrCoSiFqyYKWQjCy3w7J9L9PtwMCuuRH3mwedA0BNqA3uk28PWR7rcEUdKmq1SimHXukDAE6bLeLz5bDbYLdJkBUVh07UGh477vFj25FK/O3z7ThuqozSZliZlXvCr6+i1g9FUQ0BU7pF9Zf+mMuOTJcdNT4ZZdU+ZKc5o26bLIqiYtkPpQCAEaEqqFjO6JCFJ35+Fkb1zsf0t9Zj/Z6Gh1KqquJXbxZhT5kHr63ajf93WX+2MRNRk2mRlVLt2rXDb37zG+TmBv8x7dKlC6655hr8+9//1rfZvHkzFixYgPvvvx8AkJGRgdtuuw1PPvkkFCX4W5hFixZhy5YtekiVn5+PKVOm4I9//KO+nzlz5kCWZUyZMgUA0KdPH4wfPx5//vOf9W2eeeYZ9OvXD2PGjAEAjB49Gn379sWzzz6bvDeBiIiolRJnSjW2akp8lrmSg6ile2HZjxj06BKs2nHMsn0v2pwlq2CiRqiUsuILKNhf7gEQWSnljLI8phYUHThuDKXKaryY/No6bNh3AruP1Rge80SpZCoR2vwCioqDJ2r1sKt9lqvez3duqN1QC9ZS3ca3ft9xHDxRi2y3AxcKq+7VZ2hoVb7tR6v0c4/X7mM12HakKny7rCbG1kREydUiQ6nx48fj5ptvNtyXlpYGny/8m5KlS5ciKysL/fv31+8bNmwYjh49ik2bNunb9O3bFzk5OYZt1q9fj+PHj+vbDB061PBbnmHDhmHp0qWGYw0bNsxwPuZtzLxeLyorKw1/iIiIqH6JyJDEy05mUnSqmb3kBygqMOm1tdaVUjHmLJlpA8Otgo+2mS4AwA8lwYDDPFPKYbe+1NBmV+0/7jHcv/NodcS2vdpnAghWRP38ha/w6CdbDY+XmGZP7Syt1vdzRoesKK8qLDcj+Boqav3YX+7B0D8sxcMfb6n3eWYeX8Pa/77bfwKTX1uLSa+uBQBcMrCT5UyvaPKz3eialw5VBX4QAqZ47Co1hlBbQiv/ERE1hRYZSln5+uuvce211+q3d+3ahY4dOxq26dSpk/6Y9l/tPvM2u3fvjrlNRUUFysvLY26jHcfKrFmzkJubq//p3r173K+ViIioNbMluN2O7Xt0KttX7om4L9acJVdo9byCdhkAwpVSVqFU+6xgoLOvTKuUMrXvRQml0l3B+82VUh9sOGi47bBJ6NMxGwDw2ZYj2LjvBOas3mOYI1Vimj1VXu3DjoaEUunB9+JErR+zl/yA8hof5n69t0EVU++vP4CzHv0PXl7+Y1zb+wIK7py3ESt3HIM3EOzgmDSi4SM/+nQMvr4dRxsWSpnDwM0HGEoRUdM5JUKp//73v9i3bx8eeugh/T6PxwO3223YTrvt8XhSso32uJWZM2eioqJC/7N///6o2xIREZG1xuZJbN+jU5U3IBs+F+tDg7DzMsJhUaw5S9/89mIsv2+MHgbVRKmU6pjj1tsAfaEB5TnpTuQ0oH1PW1FPW5Fv5Y5Sw3bd22YgJxQalQsVX2Ir4ZEKY6XUcY9Pr5Tq3SE76uvUiO17m4WKIXPYFc2B4x78Zv53kBUVc7/eG9dzPvnukCEsfPTyM3F297y4nivSQrcdJdXBgfN18bXxacduE/r/xNZD7NggoqbTrEKpRx99FJIkxfxTVFRkeM7Bgwcxffp0fPzxx/qMKSA4Q8rrNf5jot3OyMhIyTba41bcbjdycnIMf4iIiKh+xplSjcP2PToVqKqKN9fsxVc7j2HDvuP4n1fXYN7afbAq8rn5/J7617GC2NwMJwraZeotflpbmray3cRBndE204WnrzsHmS5jxVVOmrF9L2qllCkU69MpGK74ZeOJ56Y7kRE6hhjiiJU+R6uih1LxVErlpQervbYerDDMsSo+El9Q89XOY/rXGXG2Re4ItTtOO78Hih+/FDcJfzcNoYVun245jDGzl+G6l9fEVeG1vzxYoTY6NMPKXDlFRJRKzWr1vXvvvRfTp0+PuU379u31r8vLy3HFFVfghRdewJAhQwzb9erVCyUlJYb7jhw5oj+m/feLL76w3KZnz576Ntp94ja5ublo27ZtzG204xAREVHiJCREEi7cEt0OSJQqy34oxe8+Cs4/ynDZ4fHJ+GpnmeW2Vw3pipw0BzrlpsW1b63Fz1wpNeW8Hnj2hnMgSRJe/2q34Tk56Q7DoHNHlEop8+ykPh2yseWgdQiU6Q5uW1UXntl04Hgthoa63UqrghVUHXPcKKn04uDxWuwNDe6Ob6ZUMETbZGph23a4Cj/p28HyOdog9S556ThWHa7gOloVX3XVoVB1V9e8dKQ3YL6X2emh16dVdRUfrsTBE7Xo1ib6L8YB6IPpzzu9HT769hCOVNQhICtRZ4ARESVTs/rOk5WVhU6dOsX843AE/6GrqqrC5ZdfjocffhgXX3wxAOCVV17R9zV27FhUV1dj27Zt+n1FRUXo0KEDBg0apG+zfft2VFVVGbYZOnQo2rRpo2+zfv16w28dioqK9GNq25gruMzbEBERUWKIIVJj18mShZk00ao5iJq7t9fu07/2+OSY27bJcOGm83vi0oGd49p3ViiU8phmSuWmO/U5bOZV/HLSnIaZUq56Bp1r+nSybrPr2zHbcqXAA8drUVbtxdtr92J7qOpIqxpasrUEihoMfDpkuyOea6a175mHrBcftg7J6vwyLn92FcbMXobjNT5DW2FFrT+ugedaqNU5N73ebWOxCt20ds1oVFXVK6OGFrSB0y4hoKgoiTNQIyJKtBb5U1hdXR2uuOIKjBgxAl27dkVRURGKiorw8ssv69sMGjQIl19+OWbPng0AqK2txYsvvogHHngANlvwZU+cOBEDBgzA008/DQA4duwY5s6di9/+9rf6fqZNmwa73Y633noLALBjxw58+umnuP/++/VtZsyYgeLiYqxYsQIAsHLlShQXF+POO+9M6vtARETUGiWisEnIpDhTilqkEx4fvvzhKIDg/4d/cW43fTU8M6ddiru1TKNtX+MLQFVVVIYqlXKF9jzzPnPSnWiXFT6HaJVSYvteutOObm2M4cytF/bChLM64/5L+0a0CALAN3vKMfQPS/H/Ptyit/VpAU2tPxjOXXBG+7gWMdBejzYXS3tNVgPigeDKdWU1PvhkBf/+Zr8hlAIiZ1xZOaxXWsVXtRZNbroT9/y0DyYM6oyhBcFfqH+zpzzmc8prfHqA2a1Nhh6MHTQNnSciSpVm1b4Xr9deew3Lli3DsmXL8NRTT0Xdbu7cubjjjjtQWFgIv9+Pq6++Gnfffbf+uM1mw4IFC3Drrbdi5MiRqKurw8MPP4yrrrpK3yY7OxtLlizBbbfdhldeeQW1tbWYM2cOCgsL9W0KCgqwcOFC3HfffXC5XPB6vVi0aBEKChq+igYRERHFlojV8rQVxohagjq/jJ1HqzGwa3h+6o+l1ZAVFV3z0vHVgxcBAK5/5Wus2RUMJUb1bo+VO4LzjvIyXA3+3GhhkMcro9ob0KsLxVBKrGKSJCDb7UDfjuGqp4BsXcsotqy1yXBGhGkTBnXGoG55EcfQLPuhNOK+3h2NVUMX9G4fsY0V8fUAwIAuOfhmz3GURqkc+rE0XFE1b90+fZVCzZHKOvTKj942GJAVHKkMBldd8k6uUgoA7hrbGwDw6ebDWL/3ONbvPRFz+8Oh0Kx9lhtpTju65qVjX7kHB094ALQ96fMhImqoFhlK3X777bj99tvr3S4vL0+vcIqmW7duWLRoUcxtBgwYgOXLl8fcZtSoUVizZk2950RERERNz81QilqQJz/dhjmr9+Dp687Gz87pCgDYWxas5DmtbTgUuW5Yd6zZVY5fXtATZ3XL1UOpNhnOyJ3WI8MdrpTSqqRcdhvSnOHPjlgpleV2wGaTkC+0zImDw0Vi+15OuhPts4xtdobgK84KrzNMQdCIXu3iel5kKJWLb/Ycx9GqOqiqGhHm7SoNv6Z95Z6Ioe3RKqX8sgK7JOFolReKGqxey8+qv70wXloL5L6yGsvz1pSEArFOucFja1VqB8pZKUVETYM/kREREVGLFcdCU5Z+0q8D7DYJ/aLMsiFqLlRVxZzVewAA987/Tr9fay8TK3V+fk43bPjdT/HQxDMNYYu2wlxDaJVSNV4ZFZ7gPKkcYZ6UuA0AfZaU+Lg3oFjuWwxystMcEZVS4lwqq0opM5fDhu5CONc1L90QjsViDqXO7BJcEdsvqzgeet0isVIKAHaGbvcJVWodtgilKjx+jP7zl7jhH2twuCIY/nTMSYMtga3DXUNVVzU+WZ//ZUU7v045we27hkKpgycYShFR02iRlVJEREREJ6N9lhvf/L+L9ZW9iJqrXUK1UUBRUVXnR3aaE/tClVJiGANAD3gMoVRjKqVCFUqrdh7Dut1loX0aLx0y3MaKJ027TBfKTLOWROmu8O/Fc9KcaJPhgiSFQ2ZxBb94PqNuu80QbPXKz6z3ORrze9M1Lx1tM10or/HhaFVdRGBmDqW0tsYzO+dge0k1jlZGhlKfbDqEQxV1OFRRh2/2BAeRdznJIedmaU472me5cKzahwPHa5GXYR1EmiultEq7PWXWVW1ERMnGSikiIiJqsdRGr78XvHh3OxhKUfNUXuODrKj4aucxw/1f7QwGRFql1GmmUEpzsqGUWKH06ILvI/YJmCulwl/ff2lfAMD4gZ0s951uat+z2yS0CYUomS47HHaxRTC838Hd82BVXOSVFUNLYLT3xIr5NeVnu/VV+45WGudKqaqqt+85TUPce4dmaR33+PHCsp0Y9ef/YufR4MqAn39fom+3aNPh4HFyEte6p9GqpQ7EGFquVUppA85PD7U97jzaukOp1T8ew3vrDxhWXCei1GClFBERERFRM7Lgu0P49Tvf4hfndodfNrbAaXOa9lq074nESpnstJMLpTRtM41BijhTSqyU+sW53dG3U07U9ljDTKlQmKVVJ5lDoizhPM7pnoeDxz04Vm2swvKZ2gRHxTnkHAiGUj3aZWBPqPIsP8uN/Gw3th2p0quKNBW1fn11v7O65mLDvhMAgiFbp5zgSnrlNT78+bMfAAB3v/Md5v1qBFYLweLmgxUAgPZRVko8GV3bpOO7AxUxW/G019QxdL6nh1YtPFbtRYXHj9xGBJgtXYXHjxv/sRZAMJQc3Se/ic+IqHVhpRQRERG1XPylNp1iDp2oxZ3zNkJWVMxbtw+7Qu1iWkvavnIPPL6AvjpctKogsXLJ3ojZReYB3gAwuFuu4bYYXIlzoCRJwtnd8wzhk8g86BwItx3mmEIpMfga2DU3op1ONO9/R+DhiWfikgHWFVpWJEnCPeP66rdz0516YHPUtALfoRPBQKddpgudhZXz2mW50CYzeN6rTAHURxsPIqBEfqNql8Ah5xqtUupgXJVSwdeY5XboX+8srUr4ObUE//5mn/71G6H5bUSUOqyUIiIiIiJqJpb9UGq4rVXjXNg7H7tKa7C/3KNXS7XJcEadHSS2wDVmnHaP9hk4s3MOvj9cqd83rGdbwzbGSqn4LyvMg84BoH1WKJQyVXWJwVe/TtmWodTArsHh5Oed3g7nnR7fqnuiywd1RlWdHx2yg8PHtfa9UlModaQyGPZ0yk1DO+E8OmS7o/49/H5hsPXx7O55+Hb/Cf3+dllJqJTSQqkTnqjblFQYK6UA4IwOWThcUYcdJdUYWtA22lOjUlUVdX4F6XGulNjcvL/hgP71lz8cRWmVN+5B+UR08lgpRURERC0WC6XoVLN+73HL+y84I9iStq/cgx9Dc416heYB1asRqZTbYcfiGaNw/bDu+n1nd88zbBOtUqo+YnihPS9cKWUMt9Kcdtw0sgeuO7c7BnTJMcyx+vC2kbh2aDc8f+OQuI9tRZIk/M/wAvz0zI4AwlVEu4/VoPhwpT5nSKwyaie0Mg7okqvPxNJo75W2AuH4gZ0gLExoCLUSpaBdsJpux9Fqy8dLq7yo8gYgSUCXvHAopc2VWrOrDB9/exD/XLUb3oAc1zG/3X8CY59ajiG//xwrtpdabuMNyPjDwu9xyd9WoGhPeUNeUtLV+mTsDL1feRlOqCqwfm85Hv1kK375RhG+KC6pZw9EdLIYShERERERJcA3e8rx58+24XBF9Pap+mzcFwylzj8jXPGTl+HEWaHWuYMnarGjJNhmdXo9q8z1bB98/LKBnRt9Pj8/pyuA4AwlcztetJlS9TEPOgeghzxW+3n0igH40zWDIEkSbEIr4tnd8zD72sF6GJMoZ3YJVl4t316K8X9fibv+/S0CsoIjFdrKdWloK1Q6ndU1F3mm8775gp6GoezDe7VDvtCyl4z2vcGhIGxXaQ2OW6x+uPngCQDAGflZhgHyP+nXAQDw0beHMOPf3+Lxhd/j70t3AAA+23IYv1/4vWFYu0ZWVPz63xuxq7QGtX4Zt729IWIOFwC8tGwXXl21Gz+UVOGxBd9DVVUoihoxC6wpbC+pgqIGQ8KL+wdDyScWF2PO6j1YWlyC+9/bhDp//QFdQFbw8bcH9c9mIryxeg8mPLMSD7y3iQPY6ZTGUIqIiIiI6CTJioo7/rUBLyz7ET/5yzIcrYq8OLcy84PNOG/WF5i1uBhl1V7sCrXmPTThTMN2+VluuB02yIqKlTuCc4vqq5RacOcF+PzuC/WwojGG92qHT+44H3NvLox4LNrqe/UxDjoPhjlXnN0Fo3q3x3Xndo/2NAAwBD2S1JjGxPqd2TnXMIdrwXeH8E7RfsPKdW2FyqiBXXORk+40VEIN7JKD28acgU45aRjTNx8Du+SgiziHKgmVUm0zXfrsMauKu00HgkPWzzLNBhvdJx+XD+5iuO/VlbuxZlcZbnt7A15btRv/99Z6HDhubAv8bMsR7CnzIN1pR9e8dFR7A5j79Z6I4y7ZekT/evPBCtzyRhGGz/oCw55Yiq9/LGvUa02UbUeC7an9Omfr1W37y8OhclmNDx9tPBhzH4qi4p53v8OMf3+L8X9fibfX7j3p8zpcUYtHPtmKrYcq8U7Rfn1APqWeoqjYdOAEaryBpj6VUxZDKSIiIiKik7RiRylKKoMziOr8Cj7bcqSeZwQrq+at24fDFXV4ecUuff7QGR2y0L9zjr5ddpoDNpuE7qGh5tpsol7tY1cIZbkd6N3RegW8hhjULQ9tLEKUDHcjK6UsZlGdnp+FN28ZjuG9Ys+EaszQ9oZKd9nhshsvkxZ+d1ivlOqcmwbx4d4ds2C3SRCLWbrkpePeS/pizW/HYs60QjjsNn1uFpCcSikAOLegDQDgl3OL8Ml3hwyPbQ6FUoO65kY876/XDsbrNw3DlscuwfCebeGTFVz/yhpoM9oDiopXV+7Wt1dVFS8u3wkA+NWFvfC7if0BAP9auw813gCe/3In/r1uHw6dqMX3hyshScC1Q7sBAP67LTi3qaLWj5teXxe1uujVlbsw8JElmPb6Ohyr9lpu01grd5Ri2uvrsHDTYQBA/045Ee2pk0acBgB4K0rItGHfcazdVYZPtxzR3+uAouKhj7bg082HT+r8vig+arj972/2N3gfNd4A5hft1/9/Sw23v9yDsU8txxXPfYXLnlmpt3pSYjGUIiIiIiKKQ6wWmg82GKspFn53GOP/vhLXvLgaFbV+w2PLt5figfc24ZdvFBnu/+jb4IXt+aFh3QvuuACDuuXiT1cNAgAMMlW4nN4hzplSSeKy2+AIhUQNmillGHQe//MAYFiPhg/iboyCdsZVDdfuLsOWQ8FQp1NuGi7sk4/B3XLxqwt7wWmPvKSyWnnQbagQS856Uxf2yde/fvjjLfqw9qNVdfgmNM/JXCkFAC6HDT/p1wFZbgeuDoVHmskjCgAA7xbtR7U3AG9Axttr92HLwUqkO+2YOrIHfnpmJ3Rrk47jHj9ufHUtZi/5AQ9+sBkjn/wvAGBwtzz8/mcD9f8PTx5RgMIebeENKPjN/O8gKypKKusw84PN+HLbUewtq8GfP/sB1d4AvvyhFH9cVNyg96Gqzo8PNx7AZ1uOQAkla8drfFAUFVsOVmDya+vw5Q+letVh/8456NcpGyNPb4fsNAemnFeAe37aF067hC0HK7FyRylmLS7G3e98i9IqL978eg+uemE1rntlDW7/1wYAwJ0XnYHJIwqgqsCMd76td37W0ao6PLZgK/61dh/8soI6v4ztJVUIyAqWhmZZaX+fC7471KB2x7JqL65+cTXue28Trnx+lb6KZ0PsPlaDeev24eCJhrUjV3sDePjjLbjmxdV4efmPUFUVx2t8mL1kG74oLjF8H1VVFW+v3YtHPt6CDfvC1X2+gNKglsV9ZR78+bNt+PvSHXhp+Y+Y+cEmLPju0Em1PfoCCv7v7fX6whJ7yzz49Tsb9f8/UeJw9T0iIiJqsThnI7E+/PBDPPHEE0hPT4fNZsMLL7yAAQMGRN1+1apVuPfee+F2u+H1ejF79myMGjUqhWecPJ98dwjvrz+AX47qie5tMnDnvI0IKCremDYMHUIrl1V4/Hjtq93w+mUsCFVK/PnqQbj//U1YJ1yQ3jlvo97+9v76A/jN/O/0x7LTHJj3vyNw9Yur9aHYI0NDzc/qlotP7rhA33Z4z7Z6+NUlN63eSqlkkyQJmW4HKmr9DVp9z2kPVzs1NJyZPKIAihoe/J4sf/3FYDzw/ib8v8vOxBOLv8eWg5U44fFDkoDeHbKR4XLgY+HvJh5uh7AiYpJaDyec1RmZNznwy7lFOOHx49KnV2DioM4oPlyFyroA+nbMxuBueTH3ccmZnXA/NgEIhjWPXH4mVv94DD+W1uCK51ahpKIONb7gnKUbCk/Th9RPPa8HnlhcjO+EVQY1Ewd1RprTjndvPQ+7j9WgX6dsHK3y4uKnlmPTgQq8t34/Xv9qD7YdqcL8ov1om+mCTw6HMB9sPIhze7TFlz8cRZ1fxpTzeuiD6c0+/74EMz/YhGPVwblaF/XrgF9d2AtT/rkOBW0z9BUfRRf16wCH3YZ//e+IiPuXbC3B5NfW6fdV1QWwYodxqLvLbsOU83qgbaYLJZV1+M/3Jbj1zfX46Pbz9QpHRVEhScG/+6OVdbj+H2uwK7RoQfHhSpyo9WPBd4fQPsutV4b9v8v64/tDFThW7cNTn2/H17vKUOeT0TbThTsvOgMjz2iPo1V1KKv2oW/HbLyychdKq7woPlyJbUeCFWgllV789sPNmPe/I/T/363dVYZqbwAX9etg+f/Fr38sw//OLUK1NwCXw4Y5Nw3Tvy+JVFVFSaUXHXPckCQJJZV1mPzaWmwvCYZgRXuPw26T8OHGg9h6KNgqefWQbrioXwd8s6ccO49WY9XOYDD49tp9WHjXBfj420N4deUuXNy/I567cQhq/TIOHq9Fn45Z+KL4KJ77cicUVcXU83rgyrO7YNHmw7jvvU0Rod28dfux/7gHU8/rgaXFJchyOzC2v/X/Z6y8umoXthysRJsMJ16fVohJr67FloOVWLT5MMYN6Ii1u8rhlxWcf0b7iBDaG5Cx6UAFerbPRPskVUUmiqqqSft+FC9J5U9zzUJlZSVyc3NRUVGBnJyc+p9ARETUivV4cBGA4BDmv113dtOeTBxawr/z69atw9ixY1FUVIS+ffti7ty5+O1vf4vi4mJkZ0e2gO3duxeDBg3Cxx9/jDFjxmD58uW44oorsGnTJhQUFMR1zGS9LxUeP3aWViE33QmbJKH4cBXsNmBM3w6Yt24fPt18BAXtMnDHRWfg0y1HoKrAlWd3wfeHKuGXFagA7vjXBlj9Qrx/5xzcOPw0ZDjtWFpcgk+FNr32WS6s++3F+NkLX+nze0Td2qTjwPFw1YHDJuHv15+DCYM645UVP+KPi7cBAL57ZBxyLdrh9hyrwZi/LAMQbC36w8/OOrk3KgGeXrodWw5W4qVJQ+CwqBiysresBqNnLwMAbP/DeLgczbt54/WvduOxBcHWymE92mD+9JGW22nflwBgz5MTIh5/efmPmPXptqiPJ9KWgxW49c31hioXu03Ckl9fiDPiqLB7/sudWLOrDH/9xWB0yE7DP1bswhOLw9VKLocNk0cU4L5L+uoX5BW1foyZ/SWOe/wY1C0XAVnF94eDQcTG3/3UsgX02S924K+fb4fdJkG2+MB9eNtIvFu0H/PWRbavXT64C3q2z8QJjw+7j9WgY04afAFFb6XLTXdGVCmKXA4bfAEFv/lpH9w5trflNuv3HscN/1hjWaV0WtsM/KRvPg4cr8WV53TFFaG5XLU+Gde+vBpbDlaioF0Gzj+jPZb/UIqDJ2rRJsOJc05rg+8PVeKIxVB4UUG7DCy7dwwefH8z3imKfP12m4TJIwowv2g/anwyOuem6XPPgOD3lxcnDcXtb2+AT1Zw3yV9MbhbHv751W78d1uwPfC8Xu3wz5uGId1lR403gKXFJaj2BvDk4m2oEmYotc10YeGdF6DWL+P5/+5E57w0TB7RA39Y9D0WbjqMgV1z8PsrB+I387/DrtIadMxx4/T8LKyOY2aYJAHREolOOWko9/jgCyg4PT8T+8o98MvhjW0S9O/Tg7vnoU+HLJTX+KAC+msU3XdJX9z+kzNw4LgHeRkuZIVWEK3xBvD94Uo4bBIGds3FoRO1uPTplaj1y3jqF4Nx1ZBueOaLHXjq8+0AgN4dsvRVLvOz3XjyqrMwtn9HlFTW4e01e/GvdftwrNoHu03C/7usP24a2QNbDlVgX7kHHp+MdpkuXNC7PWp9Ml5ZsQsen4yfntkRXfPScbiiDoO75xoWIxCpqoofS6uRFprlZg6U6vzBFSUzXHb0bJ+JytoA3ttwAKt3HoM3oGBU7/aYcl4PrNtTjlmLi7G3zINe+Zl4adJQPUBNlHj/jWco1Uy0hB9WiYiImgvt4u/aod0w+9rBTXw29WsJ/85fffXVcDgceOeddwAAiqKgS5cueOihh3DHHXdEbP+b3/wGq1atwtq1a/X7CgsLceGFF+Ivf/lLXMdM1vuy7IejuOn1bxK2PwBRL5pFEwZ1xvM3DkGFx4/nvtyBNKcd245UWa5ctvWxS+ALKPqFuqKo+PsXO9ApNw03FJ5muX9VVTHk95/juMeP9/9vJIaG5ge1NKoanLuTm+7E/Zf2a+rTqVeFx4/Bj/8HAHDvuD644yLrAEP7vpTutKP495dGPO4NyPjDwmKM7d8BY/p2SN4Jh/gCCt5cs1efVTbhrM54/n+GNGpflXV+3PbWBmw+WIHLB3fGY1cMtJzvdaSiDiWVdejfOQfbjlTiupfX4H+Gn4aHJp5psddgq9eoP/0Xxz3B8Oi+S/rib59vR0BR0TUvHV89eBEq6/y47O8rceB4LS7u3xE56Y6IdlmzKecV4P9N6I+n/rMdL6/YZbnN2t+OxZpdZZg4qEvMWWVbDlbg3aL9mHJeD/xjxS49ILrjJ2fg3kv6Wj7ncEUtrnjuK7190krXvHTM+98RuP/977BmV2Sr300je+DRKwbgyx+OYlro+9n1w7pj4qAueGvNXny21Xpu3cRBneHxyRg/sBOuPbc7/ri4GK9EeQ8AYEzffFx5dhfM/uwHHBJCrUHdcvHmLcNx4z/W6FVO8eicm4Z3bz0PXfPSMeWf6/RKqLduGY6dR6vw+MLv0Tk3HRf2aY+8DBeuHtIVdpsNP31qOQKh77FdctMM5yIq7NkWI3q1w1tr9qK8xgeX3YZJI4J/39rfo6qquPXN9fiPxffeQd1yselABVx2G64a0hVpTjve+WY/akOrLOakOaCowf9vDu/ZFv/+VbDCrMYbwOjZy/QqtnSnHZluh367d4cs7D5Wo7+GeGjBqFmmy47rC09DeY0Pq388hsraAPp2ysawHm2w7IdSPRA757Q8XDawM0qrvThaWQe/rGLFjlJU1QUDxbaZLtR4A3oVribL7UC1aXD7949fEjUIayyGUi1MS/hhlYiIqLnQLv5uKOyOWaF5O81ZS/h3Pi8vDw899BDuvfde/b4JEybA6XTio48+ith+8ODBGDVqFJ577jn9vttvvx1fffUVvv32W8tjeL1eeL3hi7TKykp07949KaHUwx9vxQmPDx6fjP6dc7C3rAaVdQHYJOCaod2wZlc59pV70DHHjUy3A7tKawwXCP075+C96efhxn+swbYjVZj3qxHYsPc4/hCabaP9pvzW0b0wqGseXli2E0/94mz07WSsKvty21FMm/MNnHYJI09vj+XbS3Hr6F6YOb5/o17b7mM1OFJRh/NOjz0QnBLrn6t248sfjuK5G4YgN8N6DtbizYfx8Mdb8OwNQ5rV389DH23Gwk2H8d7083BGh5MffN8QiqLCVs9weq2CzGmXsGbmWBw4XotZnxbj3nF9cW5ohtjxGh+Oe3z6ipPr95Zj0aYj8MkyMt0OFLTNxO5j1dhT5sG1Q7th3IBOAICjlXWY8Owq2CTgb9edjRXbj+Gl5T/iunO740/XNPzfDo8vgKteWI1dx2rw6YxROD3GCpi7Sqvx6qrdqKoL4IrBXXB29zzsK/dg/d5yZLmduOysTsjLcGFHSRX+8p8fcNzjx+NXDsClT68EAPzrl8Mx8oz2UFUVizYfRufcNAwtCL4fx6q9OPcPSwEEF0a4aWQPrNlVhgvOaI/rhnU3VM8EZAXP/ncnPvr2IAKyinSXHbOuClZZ/s+raw2hSNtMF3q1z8QZHbJw90/7oGNOGvaXe3D5c6twIhQc9miXgb3lHr266Q8/G4hnvtiBo1VetM9y4a1fDke/TsHv50er6nDH2xsxpKANHhwfDKBlRbUMAd9asxcPfbQF2WkOrHrgIryy4kc8/+WPmHBWZ4zo1RZvr92Hs7rm4qEJZyI3wwm/rOBIRR3aZIYrnkS1Phm/fmcjth2pwmtTz8Vba/Zhzuo9Uf++Oua44Q0o+uvMTXdi4Z0XGKqHFm06jEcXbMXgbsHz6JSbhr8s+QGvrgovAlDYoy2mjuyBcQM64i//+QEvLw8Ggm6HDYO6BSugNh04oQex+dlunFvQBkuLS4It0S67/lg02vsX7RcluelO1PpkvQW2X6dsXDO0G+w2Cc9/+aMepF01pCtuPr8njlV7kxKUM5RqYVrCD6tERETNxcMfb8H76w9g4V2j0LOJ5+rEo7n/O19WVob27dvjzTffxKRJk/T7b7nlFnzzzTfYtGlTxHOys7PxwAMP4KGHHtLv+/3vf4/Zs2ejstL6t+qPPvooHnvssYj7k/m+aPMyqur82HygAj3zM9E5Nx2KoqKyzo/cdCcUNbgaV79OOagOrVg1aUQBurfNQJ1fRo03gHZZbngDMh79ZCtOa5uJ/xtzOrwBGS67LeY8DlVV8dmWI+jdMRun52ei+HAVenfMshyOTS1fc5jP0tLU+WX87qMtGNg1F1NH9kj4/j2+ANwOu17t+N9tRzG8V9sGDecX1fllVNb69dlyibb5QAV2HavGlWd3jbnd61/txrx1+/DcjUPQp5GrbG7cdxwPfbQF+8o9uGRAJzx+5QDLapldpdV4dMH3SHfa8PR152DdnnL879wi3DCsOx67ciB2lFRh8eYjuGF4d3TIbvz7svT7EnTKTcPA0AqR+8s96NYmskWtIbTPZJ1fxh8WfY8MlwM3n98T20uq8MbqPbDbJNxQeBrG9M2HogJfFJegtNqLi/t3RMc4/46/P1SJ7SVV6Nc5Ww/kNF/+cBQrtx/DtPN76AHX4YpaTH9zPdpmujD72sFon+VGQFb0sGl+0QH8d9tRdMpNw6UDOyE/241PNx/GO0X7MaBzLmZddRb8ioJXV+7G6h+P4ayuuejZPhM2ScKZXXIwomc7+GQFmw9WIC/diTM6ZOnvYVm1F8u3l6JNpgtj+uQn9fsVQ6kWprn/sEpERNScqKoKv6w2+1k0mub+7/z+/ftx2mmn4d1338W1116r33/bbbfhP//5D3bu3BnxHLvdjieffBL33Xefft+f//xn/Pa3v0UgEIjYHkhdpRQRESVXPKE8tW7x/uzD1feIiIioxZEkCS4HfxBOlIyM4G9vxcBIu609ZvWchmwPAG63G253816JiIiI6ud22OvfiCgOLePXi0RERESUNO3atUNubi6OHDEOzj1y5Ah69epl+ZxevXo1aHsiIiIiM4ZSRERERISLLroIRUVF+m1VVbFhwwZcfPHFltuPHTvWsD0AFBUVRd2eiIiIyIyhFBERERHhwQcfxOLFi7F9+3YAwNtvvw273Y6pU6cCAKZNm4bJkyfr28+YMQPFxcVYsWIFAGDlypUoLi7GnXfemfqTJyIiohaJM6WIiIiICIWFhXjjjTdw4403Ij09HTabDUuWLEF2dnBVp7q6Ovj94WWqCwoKsHDhQtx3331wuVzwer1YtGgRCgoKmuolEBERUQvD1feaiea+Kg8RERE1Hv+dt8b3hYiI6NTE1fdaGC0brKysbOIzISIiokTT/n3n7wKN+PMPERHRqSnen30YSjUTVVVVAIDu3bs38ZkQERFRslRVVSE3N7epT6PZ4M8/REREp7b6fvZh+14zoSgKDh06hOzsbEiSlNB9V1ZWonv37ti/fz9L41OA73dq8f1OLb7fqcX3O7WS+X6rqoqqqip06dIFNhvXmdEk6+cffnZSi+93avH9Tj2+56nF9zu1kvV+x/uzDyulmgmbzYZu3bol9Rg5OTn8UKcQ3+/U4vudWny/U4vvd2ol6/1mhVSkZP/8w89OavH9Ti2+36nH9zy1+H6nVjLe73h+9uGv6oiIiIiIiIiIKOUYShERERERERERUcoxlGoF3G43HnnkEbjd7qY+lVaB73dq8f1OLb7fqcX3O7X4fp86+HeZWny/U4vvd+rxPU8tvt+p1dTvNwedExERERERERFRyrFSioiIiIiIiIiIUo6hFBERERERERERpRxDKSIiIiIiIiIiSjmGUkRERERERERElHIMpU4RH374Ic4991yMGjUKo0ePxtatW2Nuv2rVKowYMQKjR4/GiBEjsHLlyhSd6amhoe+3oih46qmnkJ6ejmXLlqXmJE8hDXm/ly5diiuuuAIXXXQRzjvvPIwbNw4bN25M4dm2fA15v1esWIFrr70WF110ES688EIMHjwYzz//fArPtuVr6PcTzcKFCyFJEubMmZPcEzyFNOS9njNnDvr164cxY8YY/tTW1qbwjKkxGvuZokjvvvsuxo0bh7Fjx2LYsGG4+uqrsWvXLsM2L7/8MoYMGYLzzz8fEyZMwMGDBw2Pq6qKxx9/HEOGDEFhYSEmTZqEioqKVL6MFufZZ5+FJEkRPzPyvU68vXv34rrrrsNFF12EQYMGYejQofjyyy/1x/meJ47X68Xdd9+Ns88+G6NHj8bw4cPx4YcfGrbh+31yfD4fZs6cCYfDgT179kQ8noj31+fzYcaMGRg6dCiGDh2Ku+66Cz6f7+ROXKUWb+3atWpWVpa6bds2VVVV9Y033lC7du2qVlZWWm6/Z88eNScnR/3yyy9VVVXVZcuWqTk5OeqePXtSdcotWkPf7/LycvWiiy5S//d//1cFoL/vFJ+Gvt+nn366+sorr+i3f/e736nt2rVTS0pKUnK+LV1D3+9bb71Vfeyxx/Tb3377rWqz2dSFCxem5Hxbuoa+35rq6mp18ODBKgD19ddfT8GZtnwNfa9ff/11vrctUGM/U2TN6XSqS5YsUVVVVWVZVqdOnar27t1bra2tVVVVVd9//321Y8eO+r+xjz32mHr22Wersizr+/jrX/+qDhgwQK2pqVFVVVWnTZumXnHFFSl+JS3HwYMH1dNOOy3iZ0a+14lXWlqq9uzZU126dKmqqqqqKIr6i1/8Qn322WdVVeV7nmgPPfSQ2rNnT/378YYNG1SXy6V+++23qqry/T5Zu3fvVkeMGKFOmTJFBaDu3r3b8Hii3t8777xTHTt2rBoIBNRAIKBefPHF6l133XVS585Q6hRw1VVXqb/4xS/027Isqx07dtS/oZrdc889amFhoeG+YcOGqb/5zW+Sep6nioa+3/v371e/+eYbdffu3QylGqGh7/d1111n+OZaWlqqAlDffvvtpJ/rqaCh7/fWrVsjLvbatm2rPvXUU0k9z1NFQ99vzT333KO+9NJLDKUaoKHvNUOplqmxnymyds011xhuf/PNNyoA9auvvlJVVVWHDBmi3n///frjJ06cUB0Oh7pgwQJVVVU1EAio+fn56gsvvKBvs3XrVhWAunnz5hS8gpbnqquuUl988cWInxn5Xifefffdp1533XWG+/bu3atfzPM9T6yJEycavj+rqqrm5+frPzPy/T45mzdvVnfs2KF++eWXlqFUIt7fY8eOqU6nU128eLG+zaJFi1Sn06mWlZU1+tzZvncK+OKLLzBs2DD9ts1mw9ChQ7F06VLL7ZcuXWrYHgCGDRsWdXsyauj73a1bN5x77rmpOr1TTkPf73//+9+w2cLf2tLS0gDg5MtKW4mGvt9nnnkmsrOzgf/f3n1HRX2l/wN/D9JREAVmQJoYdYmKxmxcCwEUI4IlcRHXhsJaTzTGPcZvjBpBI5Y1rq4tqFkwtsgi6iom0WXtLQE1wdgVG0aKXVH68/vDHxPHGaQNg+D7dc6c49x7P3eez/PBmYfLzB08+5jq6tWrYWZmhpCQEIPEW9tVNN8AcPLkSfz0008YPXq0IUKsMyqTa6p9eJ31Kz4+XuP+86+p9+7dw4kTJzTybWNjgxYtWqjznZqaiuzsbI0xnp6esLKy4jXRYceOHTAxMUHPnj012pnr6pGQkABfX1+NNldXV7i7uzPn1SA4OBgHDx5Eeno6AGDXrl3Izs6GUqlkvvWgdevWeOONN3T26Su/Bw4cQEFBgcaYd955BwUFBThw4EClY+eiVC13584dPHjwACqVSqNdpVJpfea/RFpaWoXG0+8qk2+qPH3k++jRo7CwsEDv3r2rI8Q6pSr5nj17NhwdHbF48WLs3r0bzs7O1RlqnVCZfBcXF2PcuHFYvnw5FAqFIcKsEyr7s52YmIhu3brB29sbAwYM4P50rzi+Rle/o0ePwsnJCV26dFHn9GX51jVGoVBAqVTymrwgJycH06ZNw6JFi7T6mGv9y8nJQVpaGoqLizFkyBB06dIF7733HjZv3gyAOa8OYWFhmDp1Klq3bg1PT08EBgYiODgYISEhzHc101d+09LSYGxsDDs7O/UYe3t71KtXr0rXgItStdyTJ08AAGZmZhrtZmZm6j5dx1RkPP2uMvmmyqtqvkUEs2fPxhdffKHx5Em6VSXf06dPR0ZGBiZOnAhfX1+cOnWq2uKsKyqT72XLlsHb2xteXl7VHl9dUplcK5VKNG/eHN9//z0OHTqEwMBA/OlPf+LC1CuMr9HVKy8vDwsWLMCSJUtgYmJSrnzzmpTf559/jrFjx8LR0VGrj7nWv/v37wN4Vr9MmjQJhw8fRlRUFEJDQxEXF8ecV4OVK1fi73//O44fP46zZ8/i5MmT8Pb2hrGxMfNdzfSV3ydPnsDU1FRrflNT0ypdAy5K1XKWlpYAnhUKz8vLy1P36TqmIuPpd5XJN1VeVfMdGRmJJk2aYNKkSdUSX11T1XwrFAqMGjUKnp6emDVrVrXEWJdUNN83b97E119/jYiICIPEV5dU5mc7MDAQc+fOVRdn4eHhaNu2Lb788svqDZYqja/R1WvMmDHo378/goODAZQv37wm5XPy5En8+OOPGDt2rM5+5lr/SrZ66N27N9q3bw8A6NChA/r164dFixYx53omIpgyZQrGjBmDZs2aAQDatm2LHTt2YO7cucx3NdNXfi0tLXVuiZKfn1+la8BFqVqucePGsLGxQUZGhkZ7RkYGPDw8dB7j4eFRofH0u8rkmyqvKvleuXIlkpOTsWbNmmqMsG6pTL51vTC1bNkSZ86cqZYY65KK5nv37t0AgF69esHPzw9+fn4AgHnz5sHPzw+HDh2q9phrK309dzdr1gyXL1/Wd3ikJ3yNrj5TpkyBsbExoqKi1G0lOX1ZvnWNERFkZmbymjwnMTERT58+Rbdu3eDn54eBAwcCACZOnAg/Pz8UFxcDYK71yd7eHmZmZlrbDbi5ueHKlSv8+daz7Oxs3L9/H+7u7hrtTZs2xebNm5nvaqav/Hp4eKCwsBC3b99Wj8nOzkZRUVGVrgEXpeqAbt26ISUlRX1fRHDixAl0795d53h/f3+N8QCQkpJS6njSVNF8U9VUJt/ffvst4uLikJCQAFNTU6SlpXEDxHKqaL7ffvttrbZbt27Bycmp2mKsSyqS7/DwcKSmpmLfvn3qG/Dsl8V9+/bB29vbUGHXShX92f7ss8+03op+8+ZNuLi4VGucVDV8jda/+fPn4+rVq1i1ahUUCgWOHz+O48ePw9bWFm+99ZZGvh8+fIgLFy6o8+3l5QV7e3uNMefOnUNOTg6vyXM+//xznDhxQv3cvmnTJgDA4sWLsW/fPrzzzjvMtZ4ZGxujU6dOuHXrlkZ7ZmYmXF1d+fOtZ3Z2djAzM9PK961bt2BhYcF8VzN95dfHxwcmJiYaY1JSUmBiYgIfH5/KB1jp7+2jV8aPP/4oDRo0kPPnz4uIyLp166RJkybqr2kPCwuToUOHqsdfvXpVrK2tZf/+/SIicuDAAWnQoIFcvXrV8MHXQhXNd4krV65ofb0vla2i+d6xY4e4urrKnj17JDk5WZKTkyU6OloiIiJqIvxap6L5dnNzk+XLl6vv79u3T+rVqycbN240bOC1VGWfT0oAkNjYWEOEWutVNNe+vr6yZMkS9f3du3eLkZGRJCUlGTZwqpCyrjNVzFdffSWtWrWSI0eOqF9TIyIi1M87CQkJolKpJCsrS0REvvjiC2nXrp0UFRWp51i4cKG0bt1acnJyRERkxIgR0qdPH4OfS22iq2ZkrvXv+++/FxsbG0lLSxORZ78jNWzYUNauXSsizLm+jR49Wlq2bCl3794VEZHjx4+LiYmJLF68WESYb33Zu3evAJArV65otOsrvx999JG89957UlhYKEVFRdKjRw/56KOPqhSzceWXs+hV0aFDB3zzzTcYPHgwLCwsYGRkhF27dqm/pj03NxcFBQXq8W5ubkhMTMTkyZNhamqKvLw87Ny5E25ubjV1CrVKRfMNAH/+85/x22+/AXj2VuyGDRvif//7H+rVq2fw+GubiuY7PDwct2/fRrdu3TTm4T485VPRfM+ZMwerV6/G+vXrYWRkhLy8PPzrX//CoEGDauoUapXKPJ8Azz6y98MPP6j/vWbNGvU7p0i3iub6008/xbJlyxAfH4+ioiIUFxdjy5Yt8Pf3r6lToHIo6zpT+T169Ajjxo1DcXExOnfurNEXGxsL4Fl9k5WVhYCAAJibm8PW1hY7duxQ79cDAH/729/w+PFjdOnSBSYmJmjevDnWrl1r0HOpTSZOnIhjx46p//2HP/wBmzZtYq6rQc+ePbFs2TIEBwfD0tIShYWFWLhwIUJDQwHw51vfFi1ahMjISPj7+8PS0hKPHj3CvHnzMGHCBADMd1Xl5+ejR48e6k38Bw4cCBcXF8THxwPQX34XLFiAyZMno0OHDgCAzp07Y8GCBVWKXSEiUqUZiIiIiIiIiIiIKoh7ShERERERERERkcFxUYqIiIiIiIiIiAyOi1JERERERERERGRwXJQiIiIiIiIiIiKD46IUEREREREREREZHBeliIiIiIiIiIjI4LgoRUREREREREREBsdFKSKiWu7hw4cGOYaIiIiorqupGom1Gb2uuChFRAQgMzMTzs7OGDFiRE2HUm7p6enw9/fHf/7znwofO3r0aHz22WcoLCyshsiIiIheH61atYK9vT0UCgVMTU2hUql03urXr4+wsLCaDpdK8WJd9eTJE6hUKjRq1AgKhQIWFhZQqVRYvXq1xnHdu3eHSqWCQqFAvXr1oFKpEB4eXuHHnzVrFkaOHIknT57o5XyIagsuShHRa8Pd3R3u7u46+/Ly8vDw4UPcuXPHsEFV0rVr19CxY0f4+PggNDS0wsevXLkSBw4cwODBg1FcXFwNERIREb0eTp8+jeTkZABA586dkZGRofP2ySef1HCkVBpddZWlpSUyMjKwZcsWAMBf/vIXZGRkYNSoURrHJiUlISMjAwDg4uKCjIwMxMbGVjiGOXPm4O7duwgICEBubm4Vz4io9uCiFBERAFdXV2RnZ2Pr1q01HUqZiouLMWjQIDRt2hQRERGVmsPGxgZr167Ftm3bsHz5cj1HSERERFQ76KOu0gdTU1PExMTgzJkzmDZtWo3FQWRoXJQiIvr/zMzMoFAoajqMMm3duhVHjx7FzJkzqzRPs2bNMGTIEMyaNQtPnz7VU3RERESky4wZMxATE1PTYdAL9FVX6UPDhg0xYcIELF26FL/99ltNh0NkEFyUIqI6b+3atVCpVLhx4wZu3Lihsb/DpUuXsHr1aqhUKpiammosSp0/f169B4RCocB///tfTJ06Fc2aNUODBg3QvXt3nDlzBgAQExMDLy8vWFtbo2PHjjh27JjOWC5fvoxhw4bB0dERjRo1QpMmTTBs2DBcvny53OcTGxsLKysr+Pr6avXl5uYiKioKb775JhwdHdGkSRN06tQJs2bN0lncBAQE4Pbt20hMTCz34xMREVH5rVmzBn5+fjAyMoKR0bNfv3r27KnehyosLAxJSUno0qULlEolFAoF/Pz81MdnZmZi3LhxcHV1RaNGjeDg4IDg4GCcPHlS67GKiooQFRWFZs2aoWHDhvDw8MCECROwfft2KBQK1K9fHyqVCufPn0doaKhGDCXi4uKgUqlQr169Urc92Lx5M7y9vWFrawtbW1t4eXlh3rx5KCgoUI+ZNWuWxjwXLlxAYGAgVCoVHB0dER4ejvv37+ucf8uWLfD19YW9vT1UKhU8PT3x17/+FUlJSQCAli1bqus2BwcHja0MBgwYgMaNG6v3dyprj6aX1VVVdfXqVXUcz9/s7OzUe1A9ePBA45iAgAAUFBRgw4YNeo+H6JUkRESvCTc3N3Fzcyu139fXV3Q9LUZERAgA6dSpk+zcuVOKi4vlypUr4uLiIs7OzhITEyNr1qyRwsJCyc7OlrZt24qtra08fPhQY54TJ06IjY2N+Pn5yY0bN0RE5NKlS9KhQwdp2LChnDlzpsxzKCoqEktLS3n77bd19g8ZMkQcHR0lNTVVPX7Dhg1ibGwssbGxWuNPnTolAGTMmDFlPjYRERHpduXKFQEgvr6+Wn2xsbE620uOad26tQwYMEBu374tIiKTJk1Sj79+/bo4OztLmzZt1HXCrVu3JCgoSMzMzGTv3r0acw4dOlQAyOLFi6WgoEDy8vIkOjpanJ2dBYBERETojGH48OFa8ZVWN82YMUMAyIIFCyQ3N1cKCwtl8+bNYmFhIYGBgVJUVKQ1T+PGjeWDDz5Q1z/fffedGBkZSUhISKnzz5kzR/Ly8kREJCUlRdzd3cXGxkY9bvLkyQJA4uLitOaYN2+eBAcHa7W/qKy6SkRk7969peboeQC08nXlyhWdORw5cqQAkMjISK2+R48eCQAJCAgoM36iuoCLUkT02qjqotT48eM12qdNmyYA5P3339doX7lypQCQTZs2qduKi4vFy8tLTE1N5ebNmxrjf/31VwEggYGBZZ5DWlqaAJC+ffvq7LewsJB+/fpptY8aNUq2bNmi1X7nzh0BID4+PmU+NhEREelWsrhjYmIiSqVS42Ztbf3SRSkbGxt58OCBuv3q1asSHx8vIiJ9+vQRAJKcnKxxbHZ2tpibm4unp6e6bc+ePaXWE4MHD9bLolRKSooAkF69emmN/+STT3QuErm5uek8h06dOompqank5+drzd+9e3et+RMSEjQWpdLS0sTIyEirhikqKhJ3d3fZs2eP1hwvKquuEvl9Ucrc3Fzr2j5/07UolZWVpVU/rlu3Tn2OLy7glWjQoIG4urqWGT9RXcCP7xERlZO3t7fGfVdXVwBAp06dNNrd3NwAANevX1e3paamIjU1Fe3atYOTk5PG+FatWqFBgwZISkoqc2+n7OxsAED9+vV19ru7u2Pnzp1YsmSJxlviV61ahX79+mmNL5nn9u3bL31cIiIiKpuub9/75z//+dJjOnToAGtra/V9Nzc39O/fH/fu3cPOnTvh4OCAP/7xjxrH2NnZoXnz5jh79iwuXboEAEhISAAABAYGaj1GQEBAVU8NALB+/XoAQK9evbT6Suqh7du3a/WZm5trnYObmxvy8/PVtc3z8/fp00drjqCgIPU5AkDTpk0REBCAAwcO4Ndff1W3f/fdd7CwsEDXrl3LPJ+y6qrnlXz7Xmk3Xezt7bF06VL1/bNnz2Ls2LFwcnLChg0b1B/nfFH9+vVZm9Frg4tSRETlZG9vr3Hf1NRUZ7uZmRkAICcnR912/vx5AMAvv/yita+ASqVSz1daUVMiLy8PAGBsbKyzf/369fDw8MDHH38MBwcH+Pv7Y/ny5aXu2VAyT8m8REREZFgldcCLLl68iOLiYty9e1dn7XDt2jVYWVkhPT0dANSLU87OzlpzvfgHscoqqWemTp2qFc+YMWNgZWWFrKwsreNerJWA3+ul/Px8rfldXFy0xpubm8Pf31+j7cMPPwQArFixQt22fPlydXtZyqqr9OnJkycICQlBbm4uvv32Wzg4OJQ61tjYmLUZvTaq/38fEVEdUdpfs0prf56IAAB8fX2xa9euSsdgZWUFQLOAe1779u1x5swZHDx4EFu2bEFCQgLGjx+PmTNnYvv27ejYsaPG+JJ5SuYlIiIi/QoLC9PYSPxFpdURJbWDh4eHerGmPHTVCJX5duHi4mKt2EpiWrFiBQYNGlTuucpTKz0/f3kXZIKCguDu7o7169dj/vz5yM7OxpEjRxAXF1eu48uqq/Tpww8/xOnTpzF37lz4+Pi8dGx+fj5rM3pt8J1SREQG4OnpCQC4ceOGzv709HTs2bOnzHlK/nJ49+5dnf2FhYVQKBTw8fHB4sWLce3aNURHRyM7OxtTpkzRGl8yj66/qhIREVHNadGiBYyMjHDz5k31Ys3z7ty5g6SkJPWCSvPmzQEAN2/e1Bqr6xt4AcDExAQANL41r4SudzyVVc8kJyfj3LlzOvvKo2R+XedQWFiI9PR0jQUkIyMjjBkzBo8ePcK6devw1VdfYciQIRofh3yZsuoqfYmJicE333yDoKAgfPrpp2WOv3fvHmszem1wUYqIXhtWVlYaRVdsbCz+/e9/G+Sxvby80K5dO5w9exapqala/RMmTMDChQvLnMfe3h5OTk64du2azn4TExONjwCWFGu2trY6C66Sfa/atm1b3lMhIiIiA7C1tUWfPn2Qk5ODxMRErf6oqCh8/PHH6u0EQkJCAADbtm3TGlvau7QdHBxgamqqsQ8mAPz00086360UGhoKhUKh851IWVlZePfdd3Hq1Kkyz600Q4cOBQBs3bpVq2/jxo1o0aKF1v6bI0aMgKmpKZYuXYrY2Nhyf3QPKLuu0odTp05h/PjxcHV1xbp16zTetTZy5EikpKRojM/IyEB+fj5rM3ptcFGKiF4bXl5eyMrKwq1bt/D48WPMnTsXmZmZBnv8NWvWwNbWFiNGjMCFCxcAPNtfIDIyEnv37sXcuXPLNU+vXr1w6dIlPHjwQGf/xIkT1Rt3FhYWYtWqVbh37x6GDx+uNfb48ePqOYmIiOjVsmzZMri4uGDixInq1+yCggJER0cjOjpaYxN1Hx8fDB8+HAcPHsSSJUtQVFSE/Px8rF69GqdPn9Y5v4mJCfr06YNjx44hKSkJwLN3Kc2fPx+NGzfWGv/WW28hMjISJ06cwNSpU9X7Z168eBH9+vWDr6+vzi9WKa/27dtjxowZOHz4MBYsWKB+V9SRI0fwf//3f5g+fTpsbGw0jrG3t0f//v1x7tw5tGrVCq1bt67QY5ZVV1XF48ePERISgsLCQsTFxaFRo0Ya/ZcuXcLjx4812lib0WunRr/7j4jIgC5fvixdu3aVxo0bi5OTkwwbNkxyc3Nl1apVolQqxcTERACIUqmUMWPGyJ07d0SpVIqVlZUAEFtbWwkKChIRkTZt2oi1tbUAEGtra2nTpo2IiAQFBYmtra0AECsrK1EqlXLnzh11DGlpaRIeHi5OTk7i4OAg7u7uMmTIEDlz5ky5z+Pnn38WhUIh0dHRWn0bNmyQfv36SdOmTUWlUomTk5N4e3vLxo0bdc7l7e0tbdu2rUAWiYiI6Hlvvvmm2NnZCQAxMTERpVIpSqVScnNzSz1m6NCh6mPMzc1FqVTKuHHjdI7NzMyUCRMmiJubm9jb24urq6v07dtXjh07pjW2sLBQ5syZIx4eHmJjYyNvvPGGTJ8+XXbt2iUAJCIiQuuYu3fvyvDhw0WlUolSqZSgoCC5ePGiuLm5iZGRkSiVSpk9e7bGMVu3bhVfX19p1KiRODk5SatWrSQqKkpycnLUY1asWCFKpVKMjIzU82zatEmuX78uSqVSzM3NBYDY2dlJWFiYxvybN2+Wd999V+zs7ESpVEr79u0lJiam1HweOnRIAEhcXFypY0pTWl2Vk5MjSqVSXdeVXKdVq1ZpjPP39xelUikA1OdZcj7Lli0TAKJQKMTMzEzrplAoZO/evRrzDR06VJRKpTx9+rTC50JUGylEdHxAmYiIXmkTJkxAfHw8Lly4gAYNGlRqjsTERHzwwQfYv38/unTpoucIiYiI6FWxb98+dO3aFREREYiMjKzpcPQuOTkZ77//Pq5du6beJ6si9FFX6cMvv/yC9u3bY8OGDRg4cGCNxUFkSPz4HhFRLfSPf/wDXbp0QY8ePSq1OefBgwcRFhaGr7/+mgtSREREVKsUFBRofOwtOjoao0aNqtSCFFD1ukofzp49i969e2PmzJlckKLXCheliIhqIWNjY8THxyM0NBQ//PBDhY/fvn07duzY8dKvqCYiIiJ6FR0+fBje3t4oKChAamoqtm3bhvHjx1d6vqrWVfqwbds2rFy5EtOnT6+RxyeqKfz4HhERERERUR3l5eWF9PR03Lt3D1ZWVqhfvz7279+Pli1b1nRolfbzzz+jT58+ePz4Mezt7fHll1+ib9++NR0WEVUCF6WIiIiIiIiIiMjg+PE9IiIiIiIiIiIyOC5KERERERERERGRwXFRioiIiIiIiIiIDI6LUkREREREREREZHBclCIiIiIiIiIiIoPjohQRERERERERERkcF6WIiIiIiIiIiMjguChFREREREREREQG9/8AoemLpPEbV6QAAAAASUVORK5CYII=\",\n      \"text/plain\": [\n       \"<Figure size 1200x300 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 2, figsize=(12, 3))\\n\",\n    \"axes[0].plot(t, subdata)\\n\",\n    \"axes[0].set_ylabel(\\\"signal\\\", fontsize=14)\\n\",\n    \"axes[0].set_xlabel(\\\"time (s)\\\", fontsize=14)\\n\",\n    \"axes[1].plot(f[mask], abs(F[mask]))\\n\",\n    \"axes[1].set_ylabel(\\\"$|F|$\\\", fontsize=14)\\n\",\n    \"axes[1].set_xlabel(\\\"Frequency (Hz)\\\", fontsize=14)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch17-guitar-spectrum.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 62,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x300 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 2, figsize=(12, 3))\\n\",\n    \"axes[0].plot(t, subdata)\\n\",\n    \"axes[0].set_ylabel(\\\"signal\\\", fontsize=14)\\n\",\n    \"axes[0].set_xlabel(\\\"time (s)\\\", fontsize=14)\\n\",\n    \"axes[1].plot(f[mask], abs(F[mask]))\\n\",\n    \"axes[1].set_ylabel(\\\"$|F|$\\\", fontsize=14)\\n\",\n    \"axes[1].set_xlabel(\\\"Frequency (Hz)\\\", fontsize=14)\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"f_A4 = 440\\n\",\n    \"a = 2**(1/12)\\n\",\n    \"for note, frequency in [\\n\",\n    \"        #('A2', f_A4 * a**(-12-12)),\\n\",\n    \"        #('B2', f_A4 * a**(-10-12)),\\n\",\n    \"        #('C3', f_A4 * a**(-9-12)),\\n\",\n    \"        #('D3', f_A4 * a**(-7-12)),\\n\",\n    \"        ('F3', f_A4 * a**(-6-12)),\\n\",\n    \"        ('G3', f_A4 * a**(-4-12)),\\n\",\n    \"        #('F3', f_A4 * a**(-2-12)),\\n\",\n    \"\\n\",\n    \"        ('A3', f_A4 * a**(-12)),\\n\",\n    \"        #('B3', f_A4 * a**(-10)),\\n\",\n    \"        #('C4', f_A4 * a**(-9)),\\n\",\n    \"        ('D4', f_A4 * a**(-7)),\\n\",\n    \"        #('F4', f_A4 * a**(-6)),\\n\",\n    \"        #('G4', f_A4 * a**(-4)),\\n\",\n    \"        ('F4', f_A4 * a**(-2)),\\n\",\n    \"        ('A4', f_A4),\\n\",\n    \"    ]:\\n\",\n    \"    axes[1].axvline(frequency, color=\\\"black\\\", alpha=0.5)\\n\",\n    \"    axes[1].text(frequency*1.01, 2e7, note, fontsize=6)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch17-guitar-spectrum.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 63,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"N_max = int(data.shape[0] / N)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 64,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f_values = np.sum(1 * mask)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 65,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"spect_data = np.zeros((N_max, f_values))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 66,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"window = signal.blackman(len(subdata))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 67,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"for n in range(0, N_max):\\n\",\n    \"    subdata = data[(N * n):(N * (n + 1))]\\n\",\n    \"    F = fftpack.fft(subdata * window)\\n\",\n    \"    spect_data[n, :] = np.log(abs(F[mask]))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 71,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x600 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(8, 6))\\n\",\n    \"p = ax.imshow(spect_data, origin='lower',\\n\",\n    \"              extent=(0, 1000, 0, data.shape[0] / sample_rate),\\n\",\n    \"              aspect='auto',\\n\",\n    \"              cmap=mpl.cm.RdBu_r)\\n\",\n    \"cb = fig.colorbar(p, ax=ax)\\n\",\n    \"cb.set_label(\\\"$\\\\log|F|$\\\", fontsize=16)\\n\",\n    \"ax.set_ylabel(\\\"time (s)\\\", fontsize=14)\\n\",\n    \"ax.set_xlabel(\\\"Frequency (Hz)\\\", fontsize=14)\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"\\n\",\n    \"f_A4 = 440\\n\",\n    \"a = 2**(1/12)\\n\",\n    \"for note, frequency in [\\n\",\n    \"        #('A2', f_A4 * a**(-12-12)),\\n\",\n    \"        #('B2', f_A4 * a**(-10-12)),\\n\",\n    \"        #('C3', f_A4 * a**(-9-12)),\\n\",\n    \"        ('D3', f_A4 * a**(-7-12)),\\n\",\n    \"        #('F3', f_A4 * a**(-6-12)),\\n\",\n    \"        ('G3', f_A4 * a**(-4-12)),\\n\",\n    \"        ('F3', f_A4 * a**(-2-12)),\\n\",\n    \"\\n\",\n    \"        ('A3', f_A4 * a**(-12)),\\n\",\n    \"        ('B3', f_A4 * a**(-10)),\\n\",\n    \"        ('C4', f_A4 * a**(-9)),\\n\",\n    \"        ('D4', f_A4 * a**(-7)),\\n\",\n    \"        #('F4', f_A4 * a**(-6)),\\n\",\n    \"        ('G4', f_A4 * a**(-4)),\\n\",\n    \"        ('F4', f_A4 * a**(-2)),\\n\",\n    \"        ('A4', f_A4),\\n\",\n    \"\\n\",\n    \"        ('B4', f_A4 * a**(2)),\\n\",\n    \"        ('C5', f_A4 * a**(3)),\\n\",\n    \"        ('D5', f_A4 * a**(5)),\\n\",\n    \"        ('F5', f_A4 * a**(6)),\\n\",\n    \"        ('G5', f_A4 * a**(8)),\\n\",\n    \"        ('F5', f_A4 * a**(10)),\\n\",\n    \"        ('A5', f_A4 * a**(12)),\\n\",\n    \"    ]:\\n\",\n    \"    #ax.axvline(frequency, color=\\\"black\\\", alpha=0.5)\\n\",\n    \"    ax.text(frequency-10, 27, note, fontsize=6)\\n\",\n    \"    \\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch17-spectrogram.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch17-spectrogram.png\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 72,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x600 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(8, 6))\\n\",\n    \"p = ax.imshow(spect_data, origin='lower',\\n\",\n    \"              extent=(0, 1000, 0, data.shape[0] / sample_rate),\\n\",\n    \"              aspect='auto',\\n\",\n    \"              cmap=mpl.cm.RdBu_r)\\n\",\n    \"cb = fig.colorbar(p, ax=ax)\\n\",\n    \"cb.set_label(\\\"$\\\\log|F|$\\\", fontsize=16)\\n\",\n    \"ax.set_ylabel(\\\"time (s)\\\", fontsize=14)\\n\",\n    \"ax.set_xlabel(\\\"Frequency (Hz)\\\", fontsize=14)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch17-spectrogram.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch17-spectrogram.png\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Signal filters\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Convolution filters\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 73,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# restore variables from the first example\\n\",\n    \"np.random.seed(0)\\n\",\n    \"B = 30.0\\n\",\n    \"f_s = 2 * B\\n\",\n    \"delta_f = 0.01\\n\",\n    \"N = int(f_s / delta_f)\\n\",\n    \"T = N / f_s\\n\",\n    \"t = np.linspace(0, T, N)\\n\",\n    \"f_t = signal_samples(t)\\n\",\n    \"f = fftpack.fftfreq(N, 1/f_s)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 74,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"H = (abs(f) < 2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 75,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"h = fftpack.fftshift(fftpack.ifft(H))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 76,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f_t_filtered_conv = signal.convolve(f_t, h, mode='same')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 77,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x600 with 3 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig = plt.figure(figsize=(8, 6))\\n\",\n    \"\\n\",\n    \"ax = plt.subplot2grid((2,2), (0,0))\\n\",\n    \"ax.plot(f, H)\\n\",\n    \"ax.set_xlabel(\\\"frequency (Hz)\\\")\\n\",\n    \"ax.set_ylabel(\\\"Frequency filter\\\")\\n\",\n    \"ax.set_ylim(0, 1.5)\\n\",\n    \"\\n\",\n    \"ax = plt.subplot2grid((2,2), (0,1))\\n\",\n    \"ax.plot(t - t[-1]/2.0, h.real)\\n\",\n    \"ax.set_xlabel(\\\"time (s)\\\")\\n\",\n    \"ax.set_ylabel(\\\"convolution kernel\\\")\\n\",\n    \"\\n\",\n    \"ax = plt.subplot2grid((2,2), (1,0), colspan=2)\\n\",\n    \"ax.plot(t, f_t, label='original', alpha=0.25)\\n\",\n    \"ax.plot(t, f_t_filtered.real, \\\"r\\\", lw=2, label='filtered in frequency domain')\\n\",\n    \"ax.plot(t, f_t_filtered_conv.real, 'b--', lw=2, label='filtered with convolution')\\n\",\n    \"ax.set_xlim(0, 10)\\n\",\n    \"ax.set_xlabel(\\\"time (s)\\\")\\n\",\n    \"ax.set_ylabel(\\\"signal\\\")\\n\",\n    \"ax.legend(loc=2)\\n\",\n    \"\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch17-convolution-filter.pdf\\\")\\n\",\n    \"fig.savefig(\\\"ch17-convolution-filter.png\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### FIR filter\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 78,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"n = 101\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 79,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f_s = 1.0 / 3600\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 80,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"nyq = f_s/2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 81,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"b = signal.firwin(n, cutoff=nyq/12, nyq=nyq, window=\\\"hamming\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 82,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 640x480 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"plt.plot(b);\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 83,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f, h = signal.freqz(b)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 84,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x300 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(8, 3))\\n\",\n    \"h_ampl = 20 * np.log10(abs(h))\\n\",\n    \"h_phase = np.unwrap(np.angle(h))\\n\",\n    \"ax.plot(f/max(f), h_ampl, 'b')\\n\",\n    \"ax.set_ylim(-150, 5)\\n\",\n    \"ax.set_ylabel('frequency response (dB)', color=\\\"b\\\")\\n\",\n    \"ax.set_xlabel(r'normalized frequency')\\n\",\n    \"ax = ax.twinx()\\n\",\n    \"ax.plot(f/max(f), h_phase, 'r')\\n\",\n    \"ax.set_ylabel('phase response', color=\\\"r\\\")\\n\",\n    \"ax.axvline(1.0/12, color=\\\"black\\\")\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch17-filter-frequency-response.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 85,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"temperature_filtered = signal.lfilter(b, 1, temperature)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 86,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"temperature_median_filtered = signal.medfilt(temperature, 25)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 87,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1200x400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(12, 4))\\n\",\n    \"ax.plot(df.index, temperature, label=\\\"original\\\", alpha=0.5)\\n\",\n    \"ax.plot(df.index, temperature_filtered, color=\\\"green\\\", lw=2, label=\\\"FIR\\\")\\n\",\n    \"ax.plot(df.index, temperature_median_filtered, color=\\\"red\\\", lw=2, label=\\\"median filer\\\")\\n\",\n    \"ax.set_ylabel(\\\"temperature\\\", fontsize=14)\\n\",\n    \"ax.legend(loc=0)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch17-temperature-signal-fir.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### IIR filter\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 88,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"b, a = signal.butter(2, 14/365.0, btype='high')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 89,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 0.91831745, -1.8366349 ,  0.91831745])\"\n      ]\n     },\n     \"execution_count\": 89,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"b\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 90,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 1.        , -1.82995169,  0.8433181 ])\"\n      ]\n     },\n     \"execution_count\": 90,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"a\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 91,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"temperature_filtered_iir = signal.lfilter(b, a, temperature)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 92,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"temperature_filtered_filtfilt = signal.filtfilt(b, a, temperature)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 93,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x300 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(8, 3))\\n\",\n    \"ax.plot(df.index, temperature, label=\\\"original\\\", alpha=0.5)\\n\",\n    \"ax.plot(df.index, temperature_filtered_iir, color=\\\"red\\\", label=\\\"IIR filter\\\")\\n\",\n    \"ax.plot(df.index, temperature_filtered_filtfilt, color=\\\"green\\\", label=\\\"filtfilt filtered\\\")\\n\",\n    \"ax.set_ylabel(\\\"temperature\\\", fontsize=14)\\n\",\n    \"ax.legend(loc=0)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch17-temperature-signal-iir.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 94,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# f, h = signal.freqz(b, a)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 95,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 800x300 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(1, 1, figsize=(8, 3))\\n\",\n    \"h_ampl = 20 * np.log10(abs(h))\\n\",\n    \"h_phase = np.unwrap(np.angle(h))\\n\",\n    \"ax.plot(f/max(f)/100, h_ampl, 'b')\\n\",\n    \"ax.set_ylabel('frequency response (dB)', color=\\\"b\\\")\\n\",\n    \"ax.set_xlabel(r'normalized frequency')\\n\",\n    \"ax = ax.twinx()\\n\",\n    \"ax.plot(f/max(f)/100, h_phase, 'r')\\n\",\n    \"ax.set_ylabel('phase response', color=\\\"r\\\")\\n\",\n    \"fig.tight_layout()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"### Filtering Audio\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 96,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"b = np.zeros(5000)\\n\",\n    \"b[0] = b[-1] = 1\\n\",\n    \"b /= b.sum()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 97,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data_filt = signal.lfilter(b, 1, data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 98,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"io.wavfile.write(\\\"guitar-echo.wav\\\",\\n\",\n    \"                 sample_rate,\\n\",\n    \"                 np.vstack([data_filt, data_filt]).T.astype(np.int16))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 99,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stderr\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/var/folders/dw/s8n_0fz93_517nztg9jpvkb80000gn/T/ipykernel_33816/1966954534.py:2: DeprecationWarning: Importing display from IPython.core.display is deprecated since IPython 7.14, please import from IPython display\\n\",\n      \"  from IPython.core.display import display\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"# based on: http://nbviewer.ipython.org/gist/Carreau/5507501/the%20sound%20of%20hydrogen.ipynb\\n\",\n    \"from IPython.core.display import display\\n\",\n    \"from IPython.core.display import HTML\\n\",\n    \"def wav_player(filepath):\\n\",\n    \"    src = \\\"\\\"\\\"\\n\",\n    \"    <audio controls=\\\"controls\\\" style=\\\"width:600px\\\" >\\n\",\n    \"      <source src=\\\"files/%s\\\" type=\\\"audio/wav\\\" />\\n\",\n    \"    </audio>\\n\",\n    \"    \\\"\\\"\\\"%(filepath)\\n\",\n    \"    display(HTML(src))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 101,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"    <audio controls=\\\"controls\\\" style=\\\"width:600px\\\" >\\n\",\n       \"      <source src=\\\"files/guitar.wav\\\" type=\\\"audio/wav\\\" />\\n\",\n       \"    </audio>\\n\",\n       \"    \"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"wav_player(\\\"guitar.wav\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 102,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"\\n\",\n       \"    <audio controls=\\\"controls\\\" style=\\\"width:600px\\\" >\\n\",\n       \"      <source src=\\\"files/guitar-echo.wav\\\" type=\\\"audio/wav\\\" />\\n\",\n       \"    </audio>\\n\",\n       \"    \"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"wav_player(\\\"guitar-echo.wav\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Versions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 103,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%reload_ext version_information\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 104,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/json\": {\n       \"Software versions\": [\n        {\n         \"module\": \"Python\",\n         \"version\": \"3.10.12 64bit [Clang 14.0.6 ]\"\n        },\n        {\n         \"module\": \"IPython\",\n         \"version\": \"8.12.0\"\n        },\n        {\n         \"module\": \"OS\",\n         \"version\": \"macOS 10.15.7 x86_64 i386 64bit\"\n        },\n        {\n         \"module\": \"numpy\",\n         \"version\": \"1.22.3\"\n        },\n        {\n         \"module\": \"matplotlib\",\n         \"version\": \"3.7.1\"\n        },\n        {\n         \"module\": \"scipy\",\n         \"version\": \"1.7.3\"\n        }\n       ]\n      },\n      \"text/html\": [\n       \"<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.10.12 64bit [Clang 14.0.6 ]</td></tr><tr><td>IPython</td><td>8.12.0</td></tr><tr><td>OS</td><td>macOS 10.15.7 x86\\\\_64 i386 64bit</td></tr><tr><td>numpy</td><td>1.22.3</td></tr><tr><td>matplotlib</td><td>3.7.1</td></tr><tr><td>scipy</td><td>1.7.3</td></tr><tr><td colspan='2'>Sun Nov 03 18:20:44 2024 JST</td></tr></table>\"\n      ],\n      \"text/latex\": [\n       \"\\\\begin{tabular}{|l|l|}\\\\hline\\n\",\n       \"{\\\\bf Software} & {\\\\bf Version} \\\\\\\\ \\\\hline\\\\hline\\n\",\n       \"Python & 3.10.12 64bit [Clang 14.0.6 ] \\\\\\\\ \\\\hline\\n\",\n       \"IPython & 8.12.0 \\\\\\\\ \\\\hline\\n\",\n       \"OS & macOS 10.15.7 x86\\\\_64 i386 64bit \\\\\\\\ \\\\hline\\n\",\n       \"numpy & 1.22.3 \\\\\\\\ \\\\hline\\n\",\n       \"matplotlib & 3.7.1 \\\\\\\\ \\\\hline\\n\",\n       \"scipy & 1.7.3 \\\\\\\\ \\\\hline\\n\",\n       \"\\\\hline \\\\multicolumn{2}{|l|}{Sun Nov 03 18:20:44 2024 JST} \\\\\\\\ \\\\hline\\n\",\n       \"\\\\end{tabular}\\n\"\n      ],\n      \"text/plain\": [\n       \"Software versions\\n\",\n       \"Python 3.10.12 64bit [Clang 14.0.6 ]\\n\",\n       \"IPython 8.12.0\\n\",\n       \"OS macOS 10.15.7 x86_64 i386 64bit\\n\",\n       \"numpy 1.22.3\\n\",\n       \"matplotlib 3.7.1\\n\",\n       \"scipy 1.7.3\\n\",\n       \"Sun Nov 03 18:20:44 2024 JST\"\n      ]\n     },\n     \"execution_count\": 104,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%version_information numpy, matplotlib, scipy\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"npbook_py310\",\n   \"language\": \"python\",\n   \"name\": \"npbook_py310\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "ch18-code-listing.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Chapter 18: Code listing\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Imports\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\\n\",\n    \"np.random.seed(0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import pandas as pd\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import csv\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 4,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import json\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 5,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import h5py\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import tables\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import pickle\\n\",\n    \"# import cPickle\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import msgpack\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# CSV\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Overwriting playerstats-2013-2014.csv\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%%writefile playerstats-2013-2014.csv\\n\",\n    \"# 2013-2014 / Regular Season / All Skaters / Summary / Points\\n\",\n    \"Rank,Player,Team,Pos,GP,G,A,P,+/-,PIM,PPG,PPP,SHG,SHP,GW,OT,S,S%,TOI/GP,Shift/GP,FO%\\n\",\n    \"1,Sidney Crosby,PIT,C,80,36,68,104,+18,46,11,38,0,0,5,1,259,13.9,21:58,24.0,52.5\\n\",\n    \"2,Ryan Getzlaf,ANA,C,77,31,56,87,+28,31,5,23,0,0,7,1,204,15.2,21:17,25.2,49.0\\n\",\n    \"3,Claude Giroux,PHI,C,82,28,58,86,+7,46,7,37,0,0,7,1,223,12.6,20:26,25.1,52.9\\n\",\n    \"4,Tyler Seguin,DAL,C,80,37,47,84,+16,18,11,25,0,0,8,0,294,12.6,19:20,23.4,41.5\\n\",\n    \"5,Corey Perry,ANA,R,81,43,39,82,+32,65,8,18,0,0,9,1,280,15.4,19:28,23.2,36.0\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Overwriting playerstats-2013-2014-top30.csv\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%%writefile playerstats-2013-2014-top30.csv\\n\",\n    \"# 2013-2014 / Regular Season / All Skaters / Summary / Points\\n\",\n    \"Rank,Player,Team,Pos,GP,G,A,P,+/-,PIM,PPG,PPP,SHG,SHP,GW,OT,S,S%,TOI/GP,Shift/GP,FO%\\n\",\n    \"1,Sidney Crosby,PIT,C,80,36,68,104,+18,46,11,38,0,0,5,1,259,13.9,21:58,24.0,52.5\\n\",\n    \"2,Ryan Getzlaf,ANA,C,77,31,56,87,+28,31,5,23,0,0,7,1,204,15.2,21:17,25.2,49.0\\n\",\n    \"3,Claude Giroux,PHI,C,82,28,58,86,+7,46,7,37,0,0,7,1,223,12.6,20:26,25.1,52.9\\n\",\n    \"4,Tyler Seguin,DAL,C,80,37,47,84,+16,18,11,25,0,0,8,0,294,12.6,19:20,23.4,41.5\\n\",\n    \"5,Corey Perry,ANA,R,81,43,39,82,+32,65,8,18,0,0,9,1,280,15.4,19:28,23.2,36.0\\n\",\n    \"6,Phil Kessel,TOR,R,82,37,43,80,-5,27,8,20,0,0,6,0,305,12.1,20:39,24.5,14.3\\n\",\n    \"7,Taylor Hall,EDM,L,75,27,53,80,-15,44,7,17,0,1,1,1,250,10.8,20:00,25.4,45.7\\n\",\n    \"8,Alex Ovechkin,WSH,L,78,51,28,79,-35,48,24,39,0,1,10,3,386,13.2,20:32,21.8,66.7\\n\",\n    \"9,Joe Pavelski,SJS,C,82,41,38,79,+23,32,16,31,1,2,3,0,225,18.2,19:51,27.1,56.0\\n\",\n    \"10,Jamie Benn,DAL,L,81,34,45,79,+21,64,5,19,1,3,3,1,279,12.2,19:09,25.0,52.8\\n\",\n    \"11,Nicklas Backstrom,WSH,C,82,18,61,79,-20,54,6,44,1,1,1,0,196,9.2,19:48,23.3,50.4\\n\",\n    \"12,Patrick Sharp,CHI,L,82,34,44,78,+13,40,10,25,0,0,3,1,313,10.9,18:53,22.7,54.6\\n\",\n    \"13,Joe Thornton,SJS,C,82,11,65,76,+20,32,2,19,0,1,3,1,122,9.0,18:55,26.3,56.1\\n\",\n    \"14,Erik Karlsson,OTT,D,82,20,54,74,-15,36,5,31,0,0,1,0,257,7.8,27:04,28.6,0.0\\n\",\n    \"15,Evgeni Malkin,PIT,C,60,23,49,72,+10,62,7,30,0,0,3,0,191,12.0,20:03,21.4,48.8\\n\",\n    \"16,Patrick Marleau,SJS,L,82,33,37,70,+0,18,11,23,2,2,4,0,285,11.6,20:31,27.3,52.9\\n\",\n    \"17,Anze Kopitar,LAK,C,82,29,41,70,+34,24,10,23,0,0,9,2,200,14.5,20:53,25.4,53.3\\n\",\n    \"18,Matt Duchene,COL,C,71,23,47,70,+8,19,5,17,0,0,6,1,217,10.6,18:29,22.0,50.3\\n\",\n    \"19,Martin St. Louis,\\\"TBL, NYR\\\",R,81,30,39,69,+13,10,9,21,1,2,5,1,204,14.7,20:56,25.7,40.7\\n\",\n    \"20,Patrick Kane,CHI,R,69,29,40,69,+7,22,10,25,0,0,6,0,227,12.8,19:36,22.9,50.0\\n\",\n    \"21,Blake Wheeler,WPG,R,82,28,41,69,+4,63,8,19,0,0,4,2,225,12.4,18:41,24.0,37.5\\n\",\n    \"22,Kyle Okposo,NYI,R,71,27,42,69,-9,51,5,15,0,0,4,1,195,13.8,20:26,22.2,47.5\\n\",\n    \"23,David Krejci,BOS,C,80,19,50,69,+39,28,3,19,0,0,6,1,169,11.2,19:07,21.3,51.2\\n\",\n    \"24,Chris Kunitz,PIT,L,78,35,33,68,+25,66,13,22,0,0,8,0,218,16.1,19:09,22.2,75.0\\n\",\n    \"25,Jonathan Toews,CHI,C,76,28,40,68,+26,34,5,15,3,5,5,0,193,14.5,20:28,25.9,57.2\\n\",\n    \"26,Thomas Vanek,\\\"BUF, NYI, MTL\\\",L,78,27,41,68,+7,46,8,18,0,0,4,0,248,10.9,19:21,21.6,43.5\\n\",\n    \"27,Jaromir Jagr,NJD,R,82,24,43,67,+16,46,5,17,0,0,6,1,231,10.4,19:09,22.8,0.0\\n\",\n    \"28,John Tavares,NYI,C,59,24,42,66,-6,40,8,25,0,0,4,0,188,12.8,21:14,22.3,49.1\\n\",\n    \"29,Jason Spezza,OTT,C,75,23,43,66,-26,46,9,22,0,0,5,0,223,10.3,18:12,23.8,54.0\\n\",\n    \"30,Jordan Eberle,EDM,R,80,28,37,65,-11,18,7,20,1,1,4,1,200,14.0,19:32,25.4,38.1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"# 2013-2014 / Regular Season / All Skaters / Summary / Points\\n\",\n      \"Rank,Player,Team,Pos,GP,G,A,P,+/-,PIM,PPG,PPP,SHG,SHP,GW,OT,S,S%,TOI/GP,Shift/GP,FO%\\n\",\n      \"1,Sidney Crosby,PIT,C,80,36,68,104,+18,46,11,38,0,0,5,1,259,13.9,21:58,24.0,52.5\\n\",\n      \"2,Ryan Getzlaf,ANA,C,77,31,56,87,+28,31,5,23,0,0,7,1,204,15.2,21:17,25.2,49.0\\n\",\n      \"3,Claude Giroux,PHI,C,82,28,58,86,+7,46,7,37,0,0,7,1,223,12.6,20:26,25.1,52.9\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!head -n 5 playerstats-2013-2014-top30.csv\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"rows = []\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"with open(\\\"playerstats-2013-2014.csv\\\") as f:\\n\",\n    \"    csvreader = csv.reader(f)\\n\",\n    \"    rows = [fields for fields in csvreader]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['Player', 'Team', 'Pos', 'GP', 'G']\"\n      ]\n     },\n     \"execution_count\": 14,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"rows[1][1:6]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['Sidney Crosby', 'PIT', 'C', '80', '36']\"\n      ]\n     },\n     \"execution_count\": 15,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"rows[2][1:6]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data = np.random.randn(100, 3)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"np.savetxt(\\\"data.csv\\\", data, delimiter=\\\",\\\", header=\\\"x, y, z\\\", comments=\\\"# Random x, y, z coordinates\\\\n\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"# Random x, y, z coordinates\\n\",\n      \"x, y, z\\n\",\n      \"1.764052345967664026e+00,4.001572083672232938e-01,9.787379841057392005e-01\\n\",\n      \"2.240893199201457797e+00,1.867557990149967484e+00,-9.772778798764110153e-01\\n\",\n      \"9.500884175255893682e-01,-1.513572082976978872e-01,-1.032188517935578448e-01\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!head -n 5 data.csv\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data_load = np.loadtxt(\\\"data.csv\\\", skiprows=2, delimiter=\\\",\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([ 2.2408932 ,  1.86755799, -0.97727788])\"\n      ]\n     },\n     \"execution_count\": 20,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data_load[1,:]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"dtype('float64')\"\n      ]\n     },\n     \"execution_count\": 21,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data_load.dtype\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"True\"\n      ]\n     },\n     \"execution_count\": 22,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"(data == data_load).all()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data = np.loadtxt(\\\"playerstats-2013-2014.csv\\\", skiprows=2, delimiter=\\\",\\\", dtype=bytes)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([b'Sidney Crosby', b'PIT', b'C', b'80', b'36'], dtype='|S13')\"\n      ]\n     },\n     \"execution_count\": 24,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data[0][1:6]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[ 68., 104.,  18.],\\n\",\n       \"       [ 56.,  87.,  28.],\\n\",\n       \"       [ 58.,  86.,   7.],\\n\",\n       \"       [ 47.,  84.,  16.],\\n\",\n       \"       [ 39.,  82.,  32.]])\"\n      ]\n     },\n     \"execution_count\": 25,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.loadtxt(\\\"playerstats-2013-2014.csv\\\", skiprows=2, delimiter=\\\",\\\", usecols=[6,7,8])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df = pd.read_csv(\\\"playerstats-2013-2014.csv\\\", skiprows=1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df = df.set_index(\\\"Rank\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Player</th>\\n\",\n       \"      <th>GP</th>\\n\",\n       \"      <th>G</th>\\n\",\n       \"      <th>A</th>\\n\",\n       \"      <th>P</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Rank</th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>Sidney Crosby</td>\\n\",\n       \"      <td>80</td>\\n\",\n       \"      <td>36</td>\\n\",\n       \"      <td>68</td>\\n\",\n       \"      <td>104</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>Ryan Getzlaf</td>\\n\",\n       \"      <td>77</td>\\n\",\n       \"      <td>31</td>\\n\",\n       \"      <td>56</td>\\n\",\n       \"      <td>87</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>Claude Giroux</td>\\n\",\n       \"      <td>82</td>\\n\",\n       \"      <td>28</td>\\n\",\n       \"      <td>58</td>\\n\",\n       \"      <td>86</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>Tyler Seguin</td>\\n\",\n       \"      <td>80</td>\\n\",\n       \"      <td>37</td>\\n\",\n       \"      <td>47</td>\\n\",\n       \"      <td>84</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>5</th>\\n\",\n       \"      <td>Corey Perry</td>\\n\",\n       \"      <td>81</td>\\n\",\n       \"      <td>43</td>\\n\",\n       \"      <td>39</td>\\n\",\n       \"      <td>82</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"             Player  GP   G   A    P\\n\",\n       \"Rank                                \\n\",\n       \"1     Sidney Crosby  80  36  68  104\\n\",\n       \"2      Ryan Getzlaf  77  31  56   87\\n\",\n       \"3     Claude Giroux  82  28  58   86\\n\",\n       \"4      Tyler Seguin  80  37  47   84\\n\",\n       \"5       Corey Perry  81  43  39   82\"\n      ]\n     },\n     \"execution_count\": 28,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df[[\\\"Player\\\", \\\"GP\\\", \\\"G\\\", \\\"A\\\", \\\"P\\\"]]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"<class 'pandas.core.frame.DataFrame'>\\n\",\n      \"Index: 5 entries, 1 to 5\\n\",\n      \"Data columns (total 20 columns):\\n\",\n      \" #   Column    Non-Null Count  Dtype  \\n\",\n      \"---  ------    --------------  -----  \\n\",\n      \" 0   Player    5 non-null      object \\n\",\n      \" 1   Team      5 non-null      object \\n\",\n      \" 2   Pos       5 non-null      object \\n\",\n      \" 3   GP        5 non-null      int64  \\n\",\n      \" 4   G         5 non-null      int64  \\n\",\n      \" 5   A         5 non-null      int64  \\n\",\n      \" 6   P         5 non-null      int64  \\n\",\n      \" 7   +/-       5 non-null      int64  \\n\",\n      \" 8   PIM       5 non-null      int64  \\n\",\n      \" 9   PPG       5 non-null      int64  \\n\",\n      \" 10  PPP       5 non-null      int64  \\n\",\n      \" 11  SHG       5 non-null      int64  \\n\",\n      \" 12  SHP       5 non-null      int64  \\n\",\n      \" 13  GW        5 non-null      int64  \\n\",\n      \" 14  OT        5 non-null      int64  \\n\",\n      \" 15  S         5 non-null      int64  \\n\",\n      \" 16  S%        5 non-null      float64\\n\",\n      \" 17  TOI/GP    5 non-null      object \\n\",\n      \" 18  Shift/GP  5 non-null      float64\\n\",\n      \" 19  FO%       5 non-null      float64\\n\",\n      \"dtypes: float64(3), int64(13), object(4)\\n\",\n      \"memory usage: 840.0+ bytes\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"df.info()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df[[\\\"Player\\\", \\\"GP\\\", \\\"G\\\", \\\"A\\\", \\\"P\\\"]].to_csv(\\\"playerstats-2013-2014-subset.csv\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Rank,Player,GP,G,A,P\\n\",\n      \"1,Sidney Crosby,80,36,68,104\\n\",\n      \"2,Ryan Getzlaf,77,31,56,87\\n\",\n      \"3,Claude Giroux,82,28,58,86\\n\",\n      \"4,Tyler Seguin,80,37,47,84\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!head -n 5 playerstats-2013-2014-subset.csv\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# HDF5\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## h5py\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 32,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import h5py\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 33,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# mode = \\\"w\\\", \\\"r\\\", \\\"w-\\\", \\\"r+\\\", \\\"a\\\"\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 34,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f = h5py.File(\\\"data.h5\\\", \\\"w\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 35,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'r+'\"\n      ]\n     },\n     \"execution_count\": 35,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f.mode\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 36,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f.flush()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 37,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f.close()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 38,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f = h5py.File(\\\"data.h5\\\", \\\"w\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 39,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'/'\"\n      ]\n     },\n     \"execution_count\": 39,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f.name\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 40,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"grp1 = f.create_group(\\\"experiment1\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 41,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'/experiment1'\"\n      ]\n     },\n     \"execution_count\": 41,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"grp1.name\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 42,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"grp2_meas = f.create_group(\\\"experiment2/measurement\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 43,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'/experiment2/measurement'\"\n      ]\n     },\n     \"execution_count\": 43,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"grp2_meas.name\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 44,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"grp2_sim = f.create_group(\\\"experiment2/simulation\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 45,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'/experiment2/simulation'\"\n      ]\n     },\n     \"execution_count\": 45,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"grp2_sim.name\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 46,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<HDF5 group \\\"/experiment1\\\" (0 members)>\"\n      ]\n     },\n     \"execution_count\": 46,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f[\\\"/experiment1\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 47,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<HDF5 group \\\"/experiment2/simulation\\\" (0 members)>\"\n      ]\n     },\n     \"execution_count\": 47,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f[\\\"/experiment2/simulation\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 48,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"grp_expr2 = f[\\\"/experiment2\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 49,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<HDF5 group \\\"/experiment2/simulation\\\" (0 members)>\"\n      ]\n     },\n     \"execution_count\": 49,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"grp_expr2['simulation']\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 50,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['experiment1', 'experiment2']\"\n      ]\n     },\n     \"execution_count\": 50,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"list(f.keys())\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 51,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[('experiment1', <HDF5 group \\\"/experiment1\\\" (0 members)>),\\n\",\n       \" ('experiment2', <HDF5 group \\\"/experiment2\\\" (2 members)>)]\"\n      ]\n     },\n     \"execution_count\": 51,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"list(f.items())\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 52,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"experiment1\\n\",\n      \"experiment2\\n\",\n      \"experiment2/measurement\\n\",\n      \"experiment2/simulation\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"f.visit(lambda x: print(x))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 53,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"experiment1 <HDF5 group \\\"/experiment1\\\" (0 members)>\\n\",\n      \"experiment2 <HDF5 group \\\"/experiment2\\\" (2 members)>\\n\",\n      \"experiment2/measurement <HDF5 group \\\"/experiment2/measurement\\\" (0 members)>\\n\",\n      \"experiment2/simulation <HDF5 group \\\"/experiment2/simulation\\\" (0 members)>\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"f.visititems(lambda name, value: print(name, value))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 54,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"True\"\n      ]\n     },\n     \"execution_count\": 54,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"\\\"experiment1\\\" in f\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 55,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"True\"\n      ]\n     },\n     \"execution_count\": 55,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"\\\"simulation\\\" in f[\\\"experiment2\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 56,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"False\"\n      ]\n     },\n     \"execution_count\": 56,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"\\\"experiment3\\\" in f\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 57,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f.flush()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 58,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"-rw-r--r--  1 rob  staff  4272 Nov  3 18:23 data.h5\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!ls -l *.h5\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 59,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"data.h5: unable to open file\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!h5ls -r data.h5\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 60,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data1 = np.arange(10)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 61,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data2 = np.random.randn(100, 100)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 62,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f[\\\"array1\\\"] = data1\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 63,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f[\\\"/experiment2/measurement/meas1\\\"] = data2\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 64,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"array1 <HDF5 dataset \\\"array1\\\": shape (10,), type \\\"<i8\\\">\\n\",\n      \"experiment1 <HDF5 group \\\"/experiment1\\\" (0 members)>\\n\",\n      \"experiment2 <HDF5 group \\\"/experiment2\\\" (2 members)>\\n\",\n      \"experiment2/measurement <HDF5 group \\\"/experiment2/measurement\\\" (1 members)>\\n\",\n      \"experiment2/measurement/meas1 <HDF5 dataset \\\"meas1\\\": shape (100, 100), type \\\"<f8\\\">\\n\",\n      \"experiment2/simulation <HDF5 group \\\"/experiment2/simulation\\\" (0 members)>\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"f.visititems(lambda name, value: print(name, value))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 65,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ds = f[\\\"array1\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 66,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<HDF5 dataset \\\"array1\\\": shape (10,), type \\\"<i8\\\">\"\n      ]\n     },\n     \"execution_count\": 66,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ds\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 67,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'/array1'\"\n      ]\n     },\n     \"execution_count\": 67,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ds.name\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 68,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"dtype('int64')\"\n      ]\n     },\n     \"execution_count\": 68,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ds.dtype\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 69,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(10,)\"\n      ]\n     },\n     \"execution_count\": 69,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ds.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 70,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"10\"\n      ]\n     },\n     \"execution_count\": 70,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ds.len()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 71,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"#help(ds)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 72,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<HDF5 dataset \\\"array1\\\": shape (10,), type \\\"<i8\\\">\"\n      ]\n     },\n     \"execution_count\": 72,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ds\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 73,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'3.9.0'\"\n      ]\n     },\n     \"execution_count\": 73,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"h5py.__version__\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 74,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])\"\n      ]\n     },\n     \"execution_count\": 74,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"#ds.value\\n\",\n    \"np.array(ds)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 75,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ds = f[\\\"/experiment2/measurement/meas1\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 76,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<HDF5 dataset \\\"meas1\\\": shape (100, 100), type \\\"<f8\\\">\"\n      ]\n     },\n     \"execution_count\": 76,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ds\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 77,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"dtype('<f8')\"\n      ]\n     },\n     \"execution_count\": 77,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ds.dtype\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 78,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(100, 100)\"\n      ]\n     },\n     \"execution_count\": 78,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ds.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 79,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data_full = ds[...]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 80,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"numpy.ndarray\"\n      ]\n     },\n     \"execution_count\": 80,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(data_full)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 81,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(100, 100)\"\n      ]\n     },\n     \"execution_count\": 81,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data_full.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 82,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data_col = ds[:, 0]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 83,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(100,)\"\n      ]\n     },\n     \"execution_count\": 83,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data_col.shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 84,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"numpy.ndarray\"\n      ]\n     },\n     \"execution_count\": 84,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(data_col)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 85,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[ 0.60270766, -0.34804638, -0.813596  , -1.29737966],\\n\",\n       \"       [ 0.91320192, -1.06343294,  0.22734595,  0.52759738],\\n\",\n       \"       [ 1.25774422, -0.32775492,  1.4849256 ,  0.28005786],\\n\",\n       \"       [-0.84907287, -0.30000358,  1.79691852, -0.19871506]])\"\n      ]\n     },\n     \"execution_count\": 85,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ds[10:20:3, 10:20:3]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 86,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(3, 100)\"\n      ]\n     },\n     \"execution_count\": 86,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ds[[1,2,3], :].shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 87,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"(3, 100)\"\n      ]\n     },\n     \"execution_count\": 87,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ds[[1,2,3], :].shape\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 88,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"mask = ds[:, 0] > 2.0\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 89,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"((100,), dtype('bool'))\"\n      ]\n     },\n     \"execution_count\": 89,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"mask.shape, mask.dtype\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 90,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([2.04253623, 2.1041854 , 2.05689385])\"\n      ]\n     },\n     \"execution_count\": 90,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ds[mask, 0]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 91,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[ 2.04253623, -0.91946118,  0.11467003, -0.1374237 ,  1.36552692],\\n\",\n       \"       [ 2.1041854 ,  0.22725706, -1.1291663 , -0.28133197, -0.7394167 ],\\n\",\n       \"       [ 2.05689385,  0.18041971, -0.06670925, -0.02835398,  0.48480475]])\"\n      ]\n     },\n     \"execution_count\": 91,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ds[mask, :5]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 92,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# create empty data sets, assign and update datasets\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 93,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ds = f.create_dataset(\\\"array2\\\", data=np.random.randint(10, size=10))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 94,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<HDF5 dataset \\\"array2\\\": shape (10,), type \\\"<i8\\\">\"\n      ]\n     },\n     \"execution_count\": 94,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ds\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 95,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0, 2, 2, 4, 7, 3, 7, 2, 4, 1])\"\n      ]\n     },\n     \"execution_count\": 95,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"#ds.value\\n\",\n    \"np.array(ds)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 96,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ds = f.create_dataset(\\\"/experiment2/simulation/data1\\\", shape=(5, 5), fillvalue=-1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 97,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<HDF5 dataset \\\"data1\\\": shape (5, 5), type \\\"<f4\\\">\"\n      ]\n     },\n     \"execution_count\": 97,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ds\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 98,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[-1., -1., -1., -1., -1.],\\n\",\n       \"       [-1., -1., -1., -1., -1.],\\n\",\n       \"       [-1., -1., -1., -1., -1.],\\n\",\n       \"       [-1., -1., -1., -1., -1.],\\n\",\n       \"       [-1., -1., -1., -1., -1.]], dtype=float32)\"\n      ]\n     },\n     \"execution_count\": 98,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"#ds.value\\n\",\n    \"np.array(ds)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 99,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ds = f.create_dataset(\\\"/experiment1/simulation/data1\\\", shape=(5000, 5000, 5000),\\n\",\n    \"                      fillvalue=0, compression='gzip')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 100,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<HDF5 dataset \\\"data1\\\": shape (5000, 5000, 5000), type \\\"<f4\\\">\"\n      ]\n     },\n     \"execution_count\": 100,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ds\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 101,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ds[:, 0, 0] = np.random.rand(5000)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 102,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"ds[1, :, 0] += np.random.rand(5000)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 103,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[0.6939344 , 0.        , 0.        , 0.        , 0.        ],\\n\",\n       \"       [1.4819994 , 0.01639538, 0.54387355, 0.11130908, 0.9928771 ]],\\n\",\n       \"      dtype=float32)\"\n      ]\n     },\n     \"execution_count\": 103,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ds[:2, :5, 0]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 104,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"0.0\"\n      ]\n     },\n     \"execution_count\": 104,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"ds.fillvalue\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 105,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"simulation <HDF5 group \\\"/experiment1/simulation\\\" (1 members)>\\n\",\n      \"simulation/data1 <HDF5 dataset \\\"data1\\\": shape (5000, 5000, 5000), type \\\"<f4\\\">\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"f[\\\"experiment1\\\"].visititems(lambda name, value: print(name, value))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 106,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"465.66128730773926\"\n      ]\n     },\n     \"execution_count\": 106,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"float(np.prod(ds.shape) * ds[0,0,0].nbytes) / (1024**3)  # Gb\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 107,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f.flush()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 108,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'data.h5'\"\n      ]\n     },\n     \"execution_count\": 108,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f.filename\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 109,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"-rw-r--r--  1 rob  staff   357K Nov  3 18:23 data.h5\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!ls -lh data.h5\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 110,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"del f[\\\"/experiment1/simulation/data1\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 111,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"simulation <HDF5 group \\\"/experiment1/simulation\\\" (0 members)>\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"f[\\\"experiment1\\\"].visititems(lambda name, value: print(name, value))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 112,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f.close()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 113,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# attributes\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 114,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f = h5py.File(\\\"data.h5\\\", mode=\\\"a\\\") # ADDED mode=\\\"a\\\"\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 115,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"<Attributes of HDF5 object at 140641992583072>\"\n      ]\n     },\n     \"execution_count\": 115,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f.attrs\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 116,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f.attrs[\\\"desc\\\"] = \\\"Result sets from experiments and simulations\\\"\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 117,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f[\\\"experiment1\\\"].attrs[\\\"date\\\"] = \\\"2015-1-1\\\"\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 118,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f[\\\"experiment2\\\"].attrs[\\\"date\\\"] = \\\"2015-1-2\\\"\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 119,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f[\\\"experiment2/simulation/data1\\\"].attrs[\\\"k\\\"] = 1.5\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 120,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f[\\\"experiment2/simulation/data1\\\"].attrs[\\\"T\\\"] = 1000\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 121,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['date']\"\n      ]\n     },\n     \"execution_count\": 121,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"list(f[\\\"experiment1\\\"].attrs.keys())\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 122,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[('T', 1000), ('k', 1.5)]\"\n      ]\n     },\n     \"execution_count\": 122,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"list(f[\\\"experiment2/simulation/data1\\\"].attrs.items())\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 123,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"True\"\n      ]\n     },\n     \"execution_count\": 123,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"\\\"T\\\" in f[\\\"experiment2/simulation/data1\\\"].attrs\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 124,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"del f[\\\"experiment2/simulation/data1\\\"].attrs[\\\"T\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 125,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"False\"\n      ]\n     },\n     \"execution_count\": 125,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"\\\"T\\\" in f[\\\"experiment2/simulation/data1\\\"].attrs\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 126,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f[\\\"experiment2/simulation/data1\\\"].attrs[\\\"t\\\"] = np.array([1, 2, 3])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 127,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([1, 2, 3])\"\n      ]\n     },\n     \"execution_count\": 127,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f[\\\"experiment2/simulation/data1\\\"].attrs[\\\"t\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 128,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f.close()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## pytables\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 129,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'3.9.2'\"\n      ]\n     },\n     \"execution_count\": 129,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"tables.__version__\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 130,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df = pd.read_csv(\\\"playerstats-2013-2014-top30.csv\\\", skiprows=1)\\n\",\n    \"df = df.set_index(\\\"Rank\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 131,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>Player</th>\\n\",\n       \"      <th>Pos</th>\\n\",\n       \"      <th>GP</th>\\n\",\n       \"      <th>P</th>\\n\",\n       \"      <th>G</th>\\n\",\n       \"      <th>A</th>\\n\",\n       \"      <th>S%</th>\\n\",\n       \"      <th>Shift/GP</th>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>Rank</th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"      <th></th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>Sidney Crosby</td>\\n\",\n       \"      <td>C</td>\\n\",\n       \"      <td>80</td>\\n\",\n       \"      <td>104</td>\\n\",\n       \"      <td>36</td>\\n\",\n       \"      <td>68</td>\\n\",\n       \"      <td>13.9</td>\\n\",\n       \"      <td>24.0</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>Ryan Getzlaf</td>\\n\",\n       \"      <td>C</td>\\n\",\n       \"      <td>77</td>\\n\",\n       \"      <td>87</td>\\n\",\n       \"      <td>31</td>\\n\",\n       \"      <td>56</td>\\n\",\n       \"      <td>15.2</td>\\n\",\n       \"      <td>25.2</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>Claude Giroux</td>\\n\",\n       \"      <td>C</td>\\n\",\n       \"      <td>82</td>\\n\",\n       \"      <td>86</td>\\n\",\n       \"      <td>28</td>\\n\",\n       \"      <td>58</td>\\n\",\n       \"      <td>12.6</td>\\n\",\n       \"      <td>25.1</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>Tyler Seguin</td>\\n\",\n       \"      <td>C</td>\\n\",\n       \"      <td>80</td>\\n\",\n       \"      <td>84</td>\\n\",\n       \"      <td>37</td>\\n\",\n       \"      <td>47</td>\\n\",\n       \"      <td>12.6</td>\\n\",\n       \"      <td>23.4</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>5</th>\\n\",\n       \"      <td>Corey Perry</td>\\n\",\n       \"      <td>R</td>\\n\",\n       \"      <td>81</td>\\n\",\n       \"      <td>82</td>\\n\",\n       \"      <td>43</td>\\n\",\n       \"      <td>39</td>\\n\",\n       \"      <td>15.4</td>\\n\",\n       \"      <td>23.2</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"             Player Pos  GP    P   G   A    S%  Shift/GP\\n\",\n       \"Rank                                                    \\n\",\n       \"1     Sidney Crosby   C  80  104  36  68  13.9      24.0\\n\",\n       \"2      Ryan Getzlaf   C  77   87  31  56  15.2      25.2\\n\",\n       \"3     Claude Giroux   C  82   86  28  58  12.6      25.1\\n\",\n       \"4      Tyler Seguin   C  80   84  37  47  12.6      23.4\\n\",\n       \"5       Corey Perry   R  81   82  43  39  15.4      23.2\"\n      ]\n     },\n     \"execution_count\": 131,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df[[\\\"Player\\\", \\\"Pos\\\", \\\"GP\\\", \\\"P\\\", \\\"G\\\", \\\"A\\\", \\\"S%\\\", \\\"Shift/GP\\\"]].head(5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 132,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f = tables.open_file(\\\"playerstats-2013-2014.h5\\\", mode=\\\"w\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 133,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"grp = f.create_group(\\\"/\\\", \\\"season_2013_2014\\\", title=\\\"NHL player statistics for the 2013/2014 season\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 134,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"/season_2013_2014 (Group) 'NHL player statistics for the 2013/2014 season'\\n\",\n       \"  children := []\"\n      ]\n     },\n     \"execution_count\": 134,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"grp\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 135,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"/ (RootGroup) ''\\n\",\n       \"  children := ['season_2013_2014' (Group)]\"\n      ]\n     },\n     \"execution_count\": 135,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f.root\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 136,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"class PlayerStat(tables.IsDescription):\\n\",\n    \"    player = tables.StringCol(20, dflt=\\\"\\\")\\n\",\n    \"    position = tables.StringCol(1, dflt=\\\"C\\\")\\n\",\n    \"    games_played = tables.UInt8Col(dflt=0)\\n\",\n    \"    points = tables.UInt16Col(dflt=0)\\n\",\n    \"    goals = tables.UInt16Col(dflt=0)\\n\",\n    \"    assists = tables.UInt16Col(dflt=0)\\n\",\n    \"    shooting_percentage = tables.Float64Col(dflt=0.0)\\n\",\n    \"    shifts_per_game_played = tables.Float64Col(dflt=0.0) \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 137,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"top30_table = f.create_table(grp, 'top30', PlayerStat, \\\"Top 30 point leaders\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 138,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"playerstat = top30_table.row\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 139,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"tables.tableextension.Row\"\n      ]\n     },\n     \"execution_count\": 139,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(playerstat)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 140,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"for index, row_series in df.iterrows():\\n\",\n    \"    playerstat[\\\"player\\\"] = row_series[\\\"Player\\\"]    \\n\",\n    \"    playerstat[\\\"position\\\"] = row_series[\\\"Pos\\\"]    \\n\",\n    \"    playerstat[\\\"games_played\\\"] = row_series[\\\"GP\\\"]    \\n\",\n    \"    playerstat[\\\"points\\\"] = row_series[\\\"P\\\"]    \\n\",\n    \"    playerstat[\\\"goals\\\"] = row_series[\\\"G\\\"]\\n\",\n    \"    playerstat[\\\"assists\\\"] = row_series[\\\"A\\\"] \\n\",\n    \"    playerstat[\\\"shooting_percentage\\\"] = row_series[\\\"S%\\\"]\\n\",\n    \"    playerstat[\\\"shifts_per_game_played\\\"] = row_series[\\\"Shift/GP\\\"]\\n\",\n    \"    playerstat.append()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 141,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"top30_table.flush()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 142,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([b'Sidney Crosby', b'Ryan Getzlaf', b'Claude Giroux',\\n\",\n       \"       b'Tyler Seguin', b'Corey Perry'], dtype='|S20')\"\n      ]\n     },\n     \"execution_count\": 142,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"top30_table.cols.player[:5]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 143,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([104,  87,  86,  84,  82], dtype=uint16)\"\n      ]\n     },\n     \"execution_count\": 143,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"top30_table.cols.points[:5]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 144,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def print_playerstat(row):\\n\",\n    \"    print(\\\"%20s\\\\t%s\\\\t%s\\\\t%s\\\" %\\n\",\n    \"          (row[\\\"player\\\"].decode('UTF-8'), row[\\\"points\\\"], row[\\\"goals\\\"], row[\\\"assists\\\"]))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 145,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"       Sidney Crosby\\t104\\t36\\t68\\n\",\n      \"        Ryan Getzlaf\\t87\\t31\\t56\\n\",\n      \"       Claude Giroux\\t86\\t28\\t58\\n\",\n      \"        Tyler Seguin\\t84\\t37\\t47\\n\",\n      \"         Corey Perry\\t82\\t43\\t39\\n\",\n      \"         Phil Kessel\\t80\\t37\\t43\\n\",\n      \"         Taylor Hall\\t80\\t27\\t53\\n\",\n      \"       Alex Ovechkin\\t79\\t51\\t28\\n\",\n      \"        Joe Pavelski\\t79\\t41\\t38\\n\",\n      \"          Jamie Benn\\t79\\t34\\t45\\n\",\n      \"   Nicklas Backstrom\\t79\\t18\\t61\\n\",\n      \"       Patrick Sharp\\t78\\t34\\t44\\n\",\n      \"        Joe Thornton\\t76\\t11\\t65\\n\",\n      \"       Erik Karlsson\\t74\\t20\\t54\\n\",\n      \"       Evgeni Malkin\\t72\\t23\\t49\\n\",\n      \"     Patrick Marleau\\t70\\t33\\t37\\n\",\n      \"        Anze Kopitar\\t70\\t29\\t41\\n\",\n      \"        Matt Duchene\\t70\\t23\\t47\\n\",\n      \"    Martin St. Louis\\t69\\t30\\t39\\n\",\n      \"        Patrick Kane\\t69\\t29\\t40\\n\",\n      \"       Blake Wheeler\\t69\\t28\\t41\\n\",\n      \"         Kyle Okposo\\t69\\t27\\t42\\n\",\n      \"        David Krejci\\t69\\t19\\t50\\n\",\n      \"        Chris Kunitz\\t68\\t35\\t33\\n\",\n      \"      Jonathan Toews\\t68\\t28\\t40\\n\",\n      \"        Thomas Vanek\\t68\\t27\\t41\\n\",\n      \"        Jaromir Jagr\\t67\\t24\\t43\\n\",\n      \"        John Tavares\\t66\\t24\\t42\\n\",\n      \"        Jason Spezza\\t66\\t23\\t43\\n\",\n      \"       Jordan Eberle\\t65\\t28\\t37\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"for row in top30_table.iterrows():\\n\",\n    \"    print_playerstat(row)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 146,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"         Phil Kessel\\t80\\t37\\t43\\n\",\n      \"         Taylor Hall\\t80\\t27\\t53\\n\",\n      \"       Alex Ovechkin\\t79\\t51\\t28\\n\",\n      \"        Joe Pavelski\\t79\\t41\\t38\\n\",\n      \"          Jamie Benn\\t79\\t34\\t45\\n\",\n      \"   Nicklas Backstrom\\t79\\t18\\t61\\n\",\n      \"       Patrick Sharp\\t78\\t34\\t44\\n\",\n      \"        Joe Thornton\\t76\\t11\\t65\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"for row in top30_table.where(\\\"(points > 75) & (points <= 80)\\\"):\\n\",\n    \"    print_playerstat(row)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 147,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"       Alex Ovechkin\\t79\\t51\\t28\\n\",\n      \"        Joe Pavelski\\t79\\t41\\t38\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"for row in top30_table.where(\\\"(goals > 40) & (points < 80)\\\"):\\n\",\n    \"    print_playerstat(row)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 148,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"File(filename=playerstats-2013-2014.h5, title='', mode='w', root_uep='/', filters=Filters(complevel=0, shuffle=False, bitshuffle=False, fletcher32=False, least_significant_digit=None))\\n\",\n       \"/ (RootGroup) ''\\n\",\n       \"/season_2013_2014 (Group) 'NHL player statistics for the 2013/2014 season'\\n\",\n       \"/season_2013_2014/top30 (Table(30,)) 'Top 30 point leaders'\\n\",\n       \"  description := {\\n\",\n       \"  \\\"assists\\\": UInt16Col(shape=(), dflt=0, pos=0),\\n\",\n       \"  \\\"games_played\\\": UInt8Col(shape=(), dflt=0, pos=1),\\n\",\n       \"  \\\"goals\\\": UInt16Col(shape=(), dflt=0, pos=2),\\n\",\n       \"  \\\"player\\\": StringCol(itemsize=20, shape=(), dflt=b'', pos=3),\\n\",\n       \"  \\\"points\\\": UInt16Col(shape=(), dflt=0, pos=4),\\n\",\n       \"  \\\"position\\\": StringCol(itemsize=1, shape=(), dflt=b'C', pos=5),\\n\",\n       \"  \\\"shifts_per_game_played\\\": Float64Col(shape=(), dflt=0.0, pos=6),\\n\",\n       \"  \\\"shooting_percentage\\\": Float64Col(shape=(), dflt=0.0, pos=7)}\\n\",\n       \"  byteorder := 'little'\\n\",\n       \"  chunkshape := (1489,)\"\n      ]\n     },\n     \"execution_count\": 148,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 149,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f.flush()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 150,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f.close()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 151,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Opened \\\"playerstats-2013-2014.h5\\\" with sec2 driver.\\n\",\n      \"/                        Group\\n\",\n      \"    Attribute: CLASS scalar\\n\",\n      \"        Type:      5-byte null-terminated UTF-8 string\\n\",\n      \"    Attribute: PYTABLES_FORMAT_VERSION scalar\\n\",\n      \"        Type:      3-byte null-terminated UTF-8 string\\n\",\n      \"    Attribute: TITLE null\\n\",\n      \"        Type:      1-byte null-terminated UTF-8 string\\n\",\n      \"    Attribute: VERSION scalar\\n\",\n      \"        Type:      3-byte null-terminated UTF-8 string\\n\",\n      \"    Location:  1:96\\n\",\n      \"    Links:     1\\n\",\n      \"/season_2013_2014        Group\\n\",\n      \"    Attribute: CLASS scalar\\n\",\n      \"        Type:      5-byte null-terminated UTF-8 string\\n\",\n      \"    Attribute: TITLE scalar\\n\",\n      \"        Type:      46-byte null-terminated UTF-8 string\\n\",\n      \"    Attribute: VERSION scalar\\n\",\n      \"        Type:      3-byte null-terminated UTF-8 string\\n\",\n      \"    Location:  1:1024\\n\",\n      \"    Links:     1\\n\",\n      \"/season_2013_2014/top30  Dataset {30/Inf}\\n\",\n      \"    Attribute: CLASS scalar\\n\",\n      \"        Type:      5-byte null-terminated UTF-8 string\\n\",\n      \"    Attribute: FIELD_0_FILL scalar\\n\",\n      \"        Type:      native unsigned short\\n\",\n      \"    Attribute: FIELD_0_NAME scalar\\n\",\n      \"        Type:      7-byte null-terminated UTF-8 string\\n\",\n      \"    Attribute: FIELD_1_FILL scalar\\n\",\n      \"        Type:      native unsigned char\\n\",\n      \"    Attribute: FIELD_1_NAME scalar\\n\",\n      \"        Type:      12-byte null-terminated UTF-8 string\\n\",\n      \"    Attribute: FIELD_2_FILL scalar\\n\",\n      \"        Type:      native unsigned short\\n\",\n      \"    Attribute: FIELD_2_NAME scalar\\n\",\n      \"        Type:      5-byte null-terminated UTF-8 string\\n\",\n      \"    Attribute: FIELD_3_FILL scalar\\n\",\n      \"        Type:      1-byte null-terminated ASCII string\\n\",\n      \"    Attribute: FIELD_3_NAME scalar\\n\",\n      \"        Type:      6-byte null-terminated UTF-8 string\\n\",\n      \"    Attribute: FIELD_4_FILL scalar\\n\",\n      \"        Type:      native unsigned short\\n\",\n      \"    Attribute: FIELD_4_NAME scalar\\n\",\n      \"        Type:      6-byte null-terminated UTF-8 string\\n\",\n      \"    Attribute: FIELD_5_FILL scalar\\n\",\n      \"        Type:      1-byte null-terminated ASCII string\\n\",\n      \"    Attribute: FIELD_5_NAME scalar\\n\",\n      \"        Type:      8-byte null-terminated UTF-8 string\\n\",\n      \"    Attribute: FIELD_6_FILL scalar\\n\",\n      \"        Type:      native double\\n\",\n      \"    Attribute: FIELD_6_NAME scalar\\n\",\n      \"        Type:      22-byte null-terminated UTF-8 string\\n\",\n      \"    Attribute: FIELD_7_FILL scalar\\n\",\n      \"        Type:      native double\\n\",\n      \"    Attribute: FIELD_7_NAME scalar\\n\",\n      \"        Type:      19-byte null-terminated UTF-8 string\\n\",\n      \"    Attribute: NROWS scalar\\n\",\n      \"        Type:      native long\\n\",\n      \"    Attribute: TITLE scalar\\n\",\n      \"        Type:      20-byte null-terminated UTF-8 string\\n\",\n      \"    Attribute: VERSION scalar\\n\",\n      \"        Type:      3-byte null-terminated UTF-8 string\\n\",\n      \"    Location:  1:2264\\n\",\n      \"    Links:     1\\n\",\n      \"    Chunks:    {1489} 65516 bytes\\n\",\n      \"    Storage:   1320 logical bytes, 65516 allocated bytes, 2.01% utilization\\n\",\n      \"    Type:      struct {\\n\",\n      \"                   \\\"assists\\\"          +0    native unsigned short\\n\",\n      \"                   \\\"games_played\\\"     +2    native unsigned char\\n\",\n      \"                   \\\"goals\\\"            +3    native unsigned short\\n\",\n      \"                   \\\"player\\\"           +5    20-byte null-terminated ASCII string\\n\",\n      \"                   \\\"points\\\"           +25   native unsigned short\\n\",\n      \"                   \\\"position\\\"         +27   1-byte null-terminated ASCII string\\n\",\n      \"                   \\\"shifts_per_game_played\\\" +28   native double\\n\",\n      \"                   \\\"shooting_percentage\\\" +36   native double\\n\",\n      \"               } 44 bytes\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!h5ls -rv playerstats-2013-2014.h5\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Pandas hdfstore\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 152,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import pandas as pd\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 153,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"store = pd.HDFStore('store.h5')\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 154,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df = pd.DataFrame(np.random.rand(5,5))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 155,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"store[\\\"df1\\\"] = df\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 156,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df = pd.read_csv(\\\"playerstats-2013-2014-top30.csv\\\", skiprows=1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 157,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"store[\\\"df2\\\"] = df\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 158,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['/df1', '/df2']\"\n      ]\n     },\n     \"execution_count\": 158,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"store.keys()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 159,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"True\"\n      ]\n     },\n     \"execution_count\": 159,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"'df2' in store\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 160,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"df = store[\\\"df1\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 161,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"/ (RootGroup) ''\\n\",\n       \"  children := ['df1' (Group), 'df2' (Group)]\"\n      ]\n     },\n     \"execution_count\": 161,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"store.root\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 162,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"store.close()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 163,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"f = h5py.File(\\\"store.h5\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 164,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"df1 \\t\\t\\t <HDF5 group \\\"/df1\\\" (4 members)>\\n\",\n      \"df1/axis0 \\t\\t <HDF5 dataset \\\"axis0\\\": shape (5,), type \\\"<i8\\\">\\n\",\n      \"df1/axis1 \\t\\t <HDF5 dataset \\\"axis1\\\": shape (5,), type \\\"<i8\\\">\\n\",\n      \"df1/block0_items \\t <HDF5 dataset \\\"block0_items\\\": shape (5,), type \\\"<i8\\\">\\n\",\n      \"df1/block0_values \\t <HDF5 dataset \\\"block0_values\\\": shape (5, 5), type \\\"<f8\\\">\\n\",\n      \"df2 \\t\\t\\t <HDF5 group \\\"/df2\\\" (8 members)>\\n\",\n      \"df2/axis0 \\t\\t <HDF5 dataset \\\"axis0\\\": shape (21,), type \\\"|S8\\\">\\n\",\n      \"df2/axis1 \\t\\t <HDF5 dataset \\\"axis1\\\": shape (30,), type \\\"<i8\\\">\\n\",\n      \"df2/block0_items \\t <HDF5 dataset \\\"block0_items\\\": shape (3,), type \\\"|S8\\\">\\n\",\n      \"df2/block0_values \\t <HDF5 dataset \\\"block0_values\\\": shape (30, 3), type \\\"<f8\\\">\\n\",\n      \"df2/block1_items \\t <HDF5 dataset \\\"block1_items\\\": shape (14,), type \\\"|S4\\\">\\n\",\n      \"df2/block1_values \\t <HDF5 dataset \\\"block1_values\\\": shape (30, 14), type \\\"<i8\\\">\\n\",\n      \"df2/block2_items \\t <HDF5 dataset \\\"block2_items\\\": shape (4,), type \\\"|S6\\\">\\n\",\n      \"df2/block2_values \\t <HDF5 dataset \\\"block2_values\\\": shape (1,), type \\\"|O\\\">\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"f.visititems(lambda x, y: print(x, \\\"\\\\t\\\" * int(3 - len(str(x))//8), y))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 165,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([b'S%', b'Shift/GP', b'FO%'], dtype='|S8')\"\n      ]\n     },\n     \"execution_count\": 165,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f[\\\"/df2/block0_items\\\"][:]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 166,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[13.9, 24. , 52.5],\\n\",\n       \"       [15.2, 25.2, 49. ],\\n\",\n       \"       [12.6, 25.1, 52.9]])\"\n      ]\n     },\n     \"execution_count\": 166,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f[\\\"/df2/block0_values\\\"][:3]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 167,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([b'Rank', b'GP', b'G', b'A', b'P', b'+/-', b'PIM', b'PPG', b'PPP',\\n\",\n       \"       b'SHG', b'SHP', b'GW', b'OT', b'S'], dtype='|S4')\"\n      ]\n     },\n     \"execution_count\": 167,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np.array(f[\\\"/df2/block1_items\\\"])  \"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 168,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([[  1,  80,  36,  68, 104],\\n\",\n       \"       [  2,  77,  31,  56,  87],\\n\",\n       \"       [  3,  82,  28,  58,  86]])\"\n      ]\n     },\n     \"execution_count\": 168,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"f[\\\"/df2/block1_values\\\"][:3, :5]\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Parquet\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 169,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"df = pd.read_csv('temperature_outdoor_2014.tsv', delimiter=\\\"\\\\t\\\", names=[\\\"time\\\", \\\"temperature\\\"])\\n\",\n    \"df.time = pd.to_datetime(df.time.values, unit=\\\"s\\\").tz_localize('UTC').tz_convert('Europe/Stockholm')\\n\",\n    \"df[\\\"dt\\\"] = df.time.dt.strftime(\\\"%Y-%m-%d\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 170,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th>temperature</th>\\n\",\n       \"      <th>dt</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>2014-01-01 00:03:06+01:00</td>\\n\",\n       \"      <td>4.38</td>\\n\",\n       \"      <td>2014-01-01</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2014-01-01 00:13:06+01:00</td>\\n\",\n       \"      <td>4.25</td>\\n\",\n       \"      <td>2014-01-01</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>2014-01-01 00:23:07+01:00</td>\\n\",\n       \"      <td>4.19</td>\\n\",\n       \"      <td>2014-01-01</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>2014-01-01 00:33:07+01:00</td>\\n\",\n       \"      <td>4.06</td>\\n\",\n       \"      <td>2014-01-01</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>2014-01-01 00:43:08+01:00</td>\\n\",\n       \"      <td>4.06</td>\\n\",\n       \"      <td>2014-01-01</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"                       time  temperature          dt\\n\",\n       \"0 2014-01-01 00:03:06+01:00         4.38  2014-01-01\\n\",\n       \"1 2014-01-01 00:13:06+01:00         4.25  2014-01-01\\n\",\n       \"2 2014-01-01 00:23:07+01:00         4.19  2014-01-01\\n\",\n       \"3 2014-01-01 00:33:07+01:00         4.06  2014-01-01\\n\",\n       \"4 2014-01-01 00:43:08+01:00         4.06  2014-01-01\"\n      ]\n     },\n     \"execution_count\": 170,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 171,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"df.to_parquet(\\\"temperature_outdoor_2014.parquet\\\", index=None, partition_cols=[\\\"dt\\\"])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 172,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"\\u001b[34mdt=2014-01-01\\u001b[m\\u001b[m\\n\",\n      \"\\u001b[34mdt=2014-01-02\\u001b[m\\u001b[m\\n\",\n      \"\\u001b[34mdt=2014-01-03\\u001b[m\\u001b[m\\n\",\n      \"\\u001b[34mdt=2014-01-04\\u001b[m\\u001b[m\\n\",\n      \"\\u001b[34mdt=2014-01-05\\u001b[m\\u001b[m\\n\",\n      \"\\u001b[34mdt=2014-01-06\\u001b[m\\u001b[m\\n\",\n      \"\\u001b[34mdt=2014-01-07\\u001b[m\\u001b[m\\n\",\n      \"\\u001b[34mdt=2014-01-08\\u001b[m\\u001b[m\\n\",\n      \"\\u001b[34mdt=2014-01-09\\u001b[m\\u001b[m\\n\",\n      \"\\u001b[34mdt=2014-01-10\\u001b[m\\u001b[m\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!ls temperature_outdoor_2014.parquet | head\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 173,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"df.to_parquet(\\\"temperature_outdoor_2014_no_partitions.parquet\\\", index=None)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 174,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"temperature_outdoor_2014_no_partitions.parquet: Apache Parquet\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!file temperature_outdoor_2014_no_partitions.parquet | head\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 175,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"1c2e7d6c82f04c9594ec4b6c06e11f7e-0.parquet\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!ls temperature_outdoor_2014.parquet/dt=2014-01-01 | head\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 176,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"df_20140401 = pd.read_parquet(\\\"temperature_outdoor_2014.parquet/dt=2014-04-01\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 177,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th>temperature</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>2014-04-01 00:00:45+02:00</td>\\n\",\n       \"      <td>2.62</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2014-04-01 00:10:45+02:00</td>\\n\",\n       \"      <td>2.62</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>2014-04-01 00:20:46+02:00</td>\\n\",\n       \"      <td>2.62</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>2014-04-01 00:30:46+02:00</td>\\n\",\n       \"      <td>2.50</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>2014-04-01 00:40:47+02:00</td>\\n\",\n       \"      <td>2.38</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"                       time  temperature\\n\",\n       \"0 2014-04-01 00:00:45+02:00         2.62\\n\",\n       \"1 2014-04-01 00:10:45+02:00         2.62\\n\",\n       \"2 2014-04-01 00:20:46+02:00         2.62\\n\",\n       \"3 2014-04-01 00:30:46+02:00         2.50\\n\",\n       \"4 2014-04-01 00:40:47+02:00         2.38\"\n      ]\n     },\n     \"execution_count\": 177,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df_20140401.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 178,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import pyarrow.parquet as pq\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 179,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"table = pq.read_table('temperature_outdoor_2014.parquet', columns=[\\\"time\\\", \\\"temperature\\\"])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 180,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"pyarrow.lib.Table\"\n      ]\n     },\n     \"execution_count\": 180,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(table)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 207,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"# help(table)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 182,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"df2 = table.to_pandas()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 183,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<div>\\n\",\n       \"<style scoped>\\n\",\n       \"    .dataframe tbody tr th:only-of-type {\\n\",\n       \"        vertical-align: middle;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe tbody tr th {\\n\",\n       \"        vertical-align: top;\\n\",\n       \"    }\\n\",\n       \"\\n\",\n       \"    .dataframe thead th {\\n\",\n       \"        text-align: right;\\n\",\n       \"    }\\n\",\n       \"</style>\\n\",\n       \"<table border=\\\"1\\\" class=\\\"dataframe\\\">\\n\",\n       \"  <thead>\\n\",\n       \"    <tr style=\\\"text-align: right;\\\">\\n\",\n       \"      <th></th>\\n\",\n       \"      <th>time</th>\\n\",\n       \"      <th>temperature</th>\\n\",\n       \"    </tr>\\n\",\n       \"  </thead>\\n\",\n       \"  <tbody>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>0</th>\\n\",\n       \"      <td>2014-01-01 00:03:06+01:00</td>\\n\",\n       \"      <td>4.38</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>1</th>\\n\",\n       \"      <td>2014-01-01 00:13:06+01:00</td>\\n\",\n       \"      <td>4.25</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>2</th>\\n\",\n       \"      <td>2014-01-01 00:23:07+01:00</td>\\n\",\n       \"      <td>4.19</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>3</th>\\n\",\n       \"      <td>2014-01-01 00:33:07+01:00</td>\\n\",\n       \"      <td>4.06</td>\\n\",\n       \"    </tr>\\n\",\n       \"    <tr>\\n\",\n       \"      <th>4</th>\\n\",\n       \"      <td>2014-01-01 00:43:08+01:00</td>\\n\",\n       \"      <td>4.06</td>\\n\",\n       \"    </tr>\\n\",\n       \"  </tbody>\\n\",\n       \"</table>\\n\",\n       \"</div>\"\n      ],\n      \"text/plain\": [\n       \"                       time  temperature\\n\",\n       \"0 2014-01-01 00:03:06+01:00         4.38\\n\",\n       \"1 2014-01-01 00:13:06+01:00         4.25\\n\",\n       \"2 2014-01-01 00:23:07+01:00         4.19\\n\",\n       \"3 2014-01-01 00:33:07+01:00         4.06\\n\",\n       \"4 2014-01-01 00:43:08+01:00         4.06\"\n      ]\n     },\n     \"execution_count\": 183,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"df2.head()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# JSON\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 184,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data = [\\\"string\\\", 1.0, 2, None]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 185,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data_json = json.dumps(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 186,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'[\\\"string\\\", 1.0, 2, null]'\"\n      ]\n     },\n     \"execution_count\": 186,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data_json\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 187,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data2 = json.loads(data_json)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 188,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['string', 1.0, 2, None]\"\n      ]\n     },\n     \"execution_count\": 188,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 189,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'string'\"\n      ]\n     },\n     \"execution_count\": 189,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data[0]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 190,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data = {\\\"one\\\": 1, \\\"two\\\": 2.0, \\\"three\\\": \\\"three\\\"}\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 191,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data_json = json.dumps(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 192,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"{\\\"one\\\": 1, \\\"two\\\": 2.0, \\\"three\\\": \\\"three\\\"}\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"print(data_json)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 193,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data = json.loads(data_json)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 194,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"2.0\"\n      ]\n     },\n     \"execution_count\": 194,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data[\\\"two\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 195,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'three'\"\n      ]\n     },\n     \"execution_count\": 195,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data[\\\"three\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 196,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data = {\\\"one\\\": [1], \\n\",\n    \"        \\\"two\\\": [1, 2], \\n\",\n    \"        \\\"three\\\": [1, 2, 3]}\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 197,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data_json = json.dumps(data, indent=True)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 198,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"{\\n\",\n      \" \\\"one\\\": [\\n\",\n      \"  1\\n\",\n      \" ],\\n\",\n      \" \\\"two\\\": [\\n\",\n      \"  1,\\n\",\n      \"  2\\n\",\n      \" ],\\n\",\n      \" \\\"three\\\": [\\n\",\n      \"  1,\\n\",\n      \"  2,\\n\",\n      \"  3\\n\",\n      \" ]\\n\",\n      \"}\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"print(data_json)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 199,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data = {\\\"one\\\": [1], \\n\",\n    \"        \\\"two\\\": {\\\"one\\\": 1, \\\"two\\\": 2}, \\n\",\n    \"        \\\"three\\\": [(1,), (1, 2), (1, 2, 3)],\\n\",\n    \"        \\\"four\\\": \\\"a text string\\\"}\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 200,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"with open(\\\"data.json\\\", \\\"w\\\") as f:\\n\",\n    \"    json.dump(data, f)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 201,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"{\\\"one\\\": [1], \\\"two\\\": {\\\"one\\\": 1, \\\"two\\\": 2}, \\\"three\\\": [[1], [1, 2], [1, 2, 3]], \\\"four\\\": \\\"a text string\\\"}\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!cat data.json\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 202,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"with open(\\\"data.json\\\", \\\"r\\\") as f:\\n\",\n    \"    data_from_file = json.load(f)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 203,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"{'one': 1, 'two': 2}\"\n      ]\n     },\n     \"execution_count\": 203,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data_from_file[\\\"two\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 204,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[[1], [1, 2], [1, 2, 3]]\"\n      ]\n     },\n     \"execution_count\": 204,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data_from_file[\\\"three\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 205,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"{\\n\",\n      \"    \\\"C\\\": {\\n\",\n      \"        \\\"color\\\": \\\"#149848\\\", \\n\",\n      \"        \\\"transfers\\\": [\\n\",\n      \"            [\\n\",\n      \"                \\\"C3\\\", \\n\",\n      \"                \\\"F15\\\"\\n\",\n      \"            ], \\n\",\n      \"            [\\n\",\n      \"                \\\"C4\\\", \\n\",\n      \"                \\\"Z2\\\"\\n\",\n      \"            ], \\n\",\n      \"            [\\n\",\n      \"                \\\"C4\\\", \\n\",\n      \"                \\\"G2\\\"\\n\",\n      \"            ], \\n\",\n      \"            [\\n\",\n      \"                \\\"C7\\\", \\n\",\n      \"                \\\"M14\\\"\\n\",\n      \"            ], \\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!head -n 20 tokyo-metro.json\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 206,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"    1471    1508   27638 tokyo-metro.json\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!wc tokyo-metro.json\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 208,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"with open(\\\"tokyo-metro.json\\\", \\\"r\\\") as f:\\n\",\n    \"    data = json.load(f)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 209,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"dict_keys(['C', 'G', 'F', 'H', 'M', 'N', 'T', 'Y', 'Z'])\"\n      ]\n     },\n     \"execution_count\": 209,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.keys()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 210,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"dict_keys(['color', 'transfers', 'travel_times'])\"\n      ]\n     },\n     \"execution_count\": 210,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data[\\\"C\\\"].keys()\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 211,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"'#149848'\"\n      ]\n     },\n     \"execution_count\": 211,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data[\\\"C\\\"][\\\"color\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 212,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[['C3', 'F15'],\\n\",\n       \" ['C4', 'Z2'],\\n\",\n       \" ['C4', 'G2'],\\n\",\n       \" ['C7', 'M14'],\\n\",\n       \" ['C7', 'N6'],\\n\",\n       \" ['C7', 'G6'],\\n\",\n       \" ['C8', 'M15'],\\n\",\n       \" ['C8', 'H6'],\\n\",\n       \" ['C9', 'H7'],\\n\",\n       \" ['C9', 'Y18'],\\n\",\n       \" ['C11', 'T9'],\\n\",\n       \" ['C11', 'M18'],\\n\",\n       \" ['C11', 'Z8'],\\n\",\n       \" ['C12', 'M19'],\\n\",\n       \" ['C18', 'H21']]\"\n      ]\n     },\n     \"execution_count\": 212,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data[\\\"C\\\"][\\\"transfers\\\"]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 213,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"[('C3', 'C4', 1), ('C7', 'C8', 1), ('C9', 'C10', 1)]\"\n      ]\n     },\n     \"execution_count\": 213,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"[(s, e, tt) for s, e, tt in data[\\\"C\\\"][\\\"travel_times\\\"] if tt == 1]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 214,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    },\n    \"scrolled\": true\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"{'C': {'color': '#149848',\\n\",\n       \"  'transfers': [['C3', 'F15'],\\n\",\n       \"   ['C4', 'Z2'],\\n\",\n       \"   ['C4', 'G2'],\\n\",\n       \"   ['C7', 'M14'],\\n\",\n       \"   ['C7', 'N6'],\\n\",\n       \"   ['C7', 'G6'],\\n\",\n       \"   ['C8', 'M15'],\\n\",\n       \"   ['C8', 'H6'],\\n\",\n       \"   ['C9', 'H7'],\\n\",\n       \"   ['C9', 'Y18'],\\n\",\n       \"   ['C11', 'T9'],\\n\",\n       \"   ['C11', 'M18'],\\n\",\n       \"   ['C11', 'Z8'],\\n\",\n       \"   ['C12', 'M19'],\\n\",\n       \"   ['C18', 'H21']],\\n\",\n       \"  'travel_times': [['C1', 'C2', 2],\\n\",\n       \"   ['C2', 'C3', 2],\\n\",\n       \"   ['C3', 'C4', 1],\\n\",\n       \"   ['C4', 'C5', 2],\\n\",\n       \"   ['C5', 'C6', 2],\\n\",\n       \"   ['C6', 'C7', 2],\\n\",\n       \"   ['C7', 'C8', 1],\\n\",\n       \"   ['C8', 'C9', 3],\\n\",\n       \"   ['C9', 'C10', 1],\\n\",\n       \"   ['C10', 'C11', 2],\\n\",\n       \"   ['C11', 'C12', 2],\\n\",\n       \"   ['C12', 'C13', 2],\\n\",\n       \"   ['C13', 'C14', 2],\\n\",\n       \"   ['C14', 'C15', 2],\\n\",\n       \"   ['C15', 'C16', 2],\\n\",\n       \"   ['C16', 'C17', 3],\\n\",\n       \"   ['C17', 'C18', 3],\\n\",\n       \"   ['C18', 'C19', 3]]},\\n\",\n       \" 'G': {'color': '#f59230',\\n\",\n       \"  'transfers': [['G1', 'Z1'],\\n\",\n       \"   ['G1', 'F16'],\\n\",\n       \"   ['G2', 'Z2'],\\n\",\n       \"   ['G2', 'C4'],\\n\",\n       \"   ['G4', 'Z3'],\\n\",\n       \"   ['G5', 'M13'],\\n\",\n       \"   ['G5', 'Y16'],\\n\",\n       \"   ['G5', 'Z4'],\\n\",\n       \"   ['G5', 'N7'],\\n\",\n       \"   ['G6', 'N6'],\\n\",\n       \"   ['G6', 'M14'],\\n\",\n       \"   ['G6', 'C7'],\\n\",\n       \"   ['G9', 'M16'],\\n\",\n       \"   ['G9', 'H8'],\\n\",\n       \"   ['G11', 'T10'],\\n\",\n       \"   ['G12', 'Z9'],\\n\",\n       \"   ['G15', 'H16'],\\n\",\n       \"   ['G16', 'H17']],\\n\",\n       \"  'travel_times': [['G1', 'G2', 2],\\n\",\n       \"   ['G2', 'G3', 1],\\n\",\n       \"   ['G3', 'G4', 2],\\n\",\n       \"   ['G4', 'G5', 2],\\n\",\n       \"   ['G5', 'G6', 2],\\n\",\n       \"   ['G6', 'G7', 2],\\n\",\n       \"   ['G7', 'G8', 2],\\n\",\n       \"   ['G8', 'G9', 2],\\n\",\n       \"   ['G9', 'G10', 1],\\n\",\n       \"   ['G10', 'G11', 2],\\n\",\n       \"   ['G11', 'G12', 2],\\n\",\n       \"   ['G12', 'G13', 1],\\n\",\n       \"   ['G13', 'G14', 2],\\n\",\n       \"   ['G14', 'G15', 2],\\n\",\n       \"   ['G15', 'G16', 1],\\n\",\n       \"   ['G16', 'G17', 2],\\n\",\n       \"   ['G17', 'G18', 1],\\n\",\n       \"   ['G18', 'G19', 2]]},\\n\",\n       \" 'F': {'color': '#b96528',\\n\",\n       \"  'transfers': [['F1', 'Y1'],\\n\",\n       \"   ['F2', 'Y2'],\\n\",\n       \"   ['F3', 'Y3'],\\n\",\n       \"   ['F4', 'Y4'],\\n\",\n       \"   ['F5', 'Y5'],\\n\",\n       \"   ['F6', 'Y6'],\\n\",\n       \"   ['F7', 'Y7'],\\n\",\n       \"   ['F8', 'Y8'],\\n\",\n       \"   ['F9', 'Y9'],\\n\",\n       \"   ['F9', 'M25'],\\n\",\n       \"   ['F13', 'M9'],\\n\",\n       \"   ['F15', 'C3'],\\n\",\n       \"   ['F16', 'Z1'],\\n\",\n       \"   ['F16', 'G1']],\\n\",\n       \"  'travel_times': [['F1', 'F2', 3],\\n\",\n       \"   ['F2', 'F3', 2],\\n\",\n       \"   ['F3', 'F4', 3],\\n\",\n       \"   ['F4', 'F5', 2],\\n\",\n       \"   ['F5', 'F6', 2],\\n\",\n       \"   ['F6', 'F7', 2],\\n\",\n       \"   ['F7', 'F8', 2],\\n\",\n       \"   ['F8', 'F9', 2],\\n\",\n       \"   ['F9', 'F10', 3],\\n\",\n       \"   ['F10', 'F11', 2],\\n\",\n       \"   ['F11', 'F12', 2],\\n\",\n       \"   ['F12', 'F13', 2],\\n\",\n       \"   ['F13', 'F14', 3],\\n\",\n       \"   ['F14', 'F15', 2],\\n\",\n       \"   ['F15', 'F16', 2]]},\\n\",\n       \" 'H': {'color': '#9cacb5',\\n\",\n       \"  'transfers': [['H6', 'M15'],\\n\",\n       \"   ['H6', 'C8'],\\n\",\n       \"   ['H7', 'Y18'],\\n\",\n       \"   ['H7', 'C9'],\\n\",\n       \"   ['H8', 'M16'],\\n\",\n       \"   ['H8', 'G9'],\\n\",\n       \"   ['H12', 'T11'],\\n\",\n       \"   ['H16', 'G15'],\\n\",\n       \"   ['H17', 'G16'],\\n\",\n       \"   ['H21', 'C18']],\\n\",\n       \"  'travel_times': [['H1', 'H2', 3],\\n\",\n       \"   ['H2', 'H3', 3],\\n\",\n       \"   ['H3', 'H4', 3],\\n\",\n       \"   ['H4', 'H5', 3],\\n\",\n       \"   ['H5', 'H6', 2],\\n\",\n       \"   ['H6', 'H7', 3],\\n\",\n       \"   ['H7', 'H8', 1],\\n\",\n       \"   ['H8', 'H9', 2],\\n\",\n       \"   ['H9', 'H10', 2],\\n\",\n       \"   ['H10', 'H11', 2],\\n\",\n       \"   ['H11', 'H12', 1],\\n\",\n       \"   ['H12', 'H13', 3],\\n\",\n       \"   ['H13', 'H14', 1],\\n\",\n       \"   ['H14', 'H15', 2],\\n\",\n       \"   ['H15', 'H16', 2],\\n\",\n       \"   ['H16', 'H17', 1],\\n\",\n       \"   ['H17', 'H18', 2],\\n\",\n       \"   ['H18', 'H19', 2],\\n\",\n       \"   ['H19', 'H20', 2],\\n\",\n       \"   ['H20', 'H21', 3]]},\\n\",\n       \" 'M': {'color': '#ff0000',\\n\",\n       \"  'transfers': [['M9', 'F13'],\\n\",\n       \"   ['M12', 'N8'],\\n\",\n       \"   ['M13', 'G5'],\\n\",\n       \"   ['M13', 'Y16'],\\n\",\n       \"   ['M13', 'Z4'],\\n\",\n       \"   ['M13', 'N7'],\\n\",\n       \"   ['M14', 'C7'],\\n\",\n       \"   ['M14', 'G6'],\\n\",\n       \"   ['M14', 'N6'],\\n\",\n       \"   ['M15', 'H6'],\\n\",\n       \"   ['M15', 'C8'],\\n\",\n       \"   ['M16', 'G9'],\\n\",\n       \"   ['M16', 'H8'],\\n\",\n       \"   ['M18', 'T9'],\\n\",\n       \"   ['M18', 'C11'],\\n\",\n       \"   ['M18', 'Z8'],\\n\",\n       \"   ['M19', 'C12'],\\n\",\n       \"   ['M22', 'N11'],\\n\",\n       \"   ['M25', 'Y9'],\\n\",\n       \"   ['M25', 'F9']],\\n\",\n       \"  'travel_times': [['M1', 'M2', 2],\\n\",\n       \"   ['M2', 'M3', 2],\\n\",\n       \"   ['M3', 'M4', 2],\\n\",\n       \"   ['M4', 'M5', 2],\\n\",\n       \"   ['M5', 'M6', 2],\\n\",\n       \"   ['M6', 'M7', 2],\\n\",\n       \"   ['M7', 'M8', 2],\\n\",\n       \"   ['M8', 'M9', 2],\\n\",\n       \"   ['M9', 'M10', 1],\\n\",\n       \"   ['M10', 'M11', 2],\\n\",\n       \"   ['M11', 'M12', 2],\\n\",\n       \"   ['M12', 'M13', 3],\\n\",\n       \"   ['M13', 'M14', 2],\\n\",\n       \"   ['M14', 'M15', 1],\\n\",\n       \"   ['M15', 'M16', 3],\\n\",\n       \"   ['M16', 'M17', 2],\\n\",\n       \"   ['M17', 'M18', 2],\\n\",\n       \"   ['M18', 'M19', 2],\\n\",\n       \"   ['M19', 'M20', 1],\\n\",\n       \"   ['M20', 'M21', 2],\\n\",\n       \"   ['M21', 'M22', 2],\\n\",\n       \"   ['M22', 'M23', 3],\\n\",\n       \"   ['M23', 'M24', 2],\\n\",\n       \"   ['M24', 'M25', 3],\\n\",\n       \"   ['m3', 'm4', 2],\\n\",\n       \"   ['m4', 'm5', 2],\\n\",\n       \"   ['m5', 'M6', 2]]},\\n\",\n       \" 'N': {'color': '#1aaca9',\\n\",\n       \"  'transfers': [['N1', 'T1'],\\n\",\n       \"   ['N2', 'T2'],\\n\",\n       \"   ['N3', 'T3'],\\n\",\n       \"   ['N6', 'G6'],\\n\",\n       \"   ['N6', 'M14'],\\n\",\n       \"   ['N6', 'C7'],\\n\",\n       \"   ['N7', 'Y16'],\\n\",\n       \"   ['N7', 'Z4'],\\n\",\n       \"   ['N7', 'G5'],\\n\",\n       \"   ['N7', 'M13'],\\n\",\n       \"   ['N8', 'M12'],\\n\",\n       \"   ['N9', 'Y14'],\\n\",\n       \"   ['N10', 'Y13'],\\n\",\n       \"   ['N10', 'T6'],\\n\",\n       \"   ['N11', 'M22']],\\n\",\n       \"  'travel_times': [['N1', 'N2', 2],\\n\",\n       \"   ['N2', 'N3', 2],\\n\",\n       \"   ['N3', 'N4', 2],\\n\",\n       \"   ['N4', 'N5', 2],\\n\",\n       \"   ['N5', 'N6', 2],\\n\",\n       \"   ['N6', 'N7', 2],\\n\",\n       \"   ['N7', 'N8', 2],\\n\",\n       \"   ['N8', 'N9', 2],\\n\",\n       \"   ['N9', 'N10', 2],\\n\",\n       \"   ['N10', 'N11', 2],\\n\",\n       \"   ['N11', 'N12', 3],\\n\",\n       \"   ['N12', 'N13', 2],\\n\",\n       \"   ['N13', 'N14', 2],\\n\",\n       \"   ['N14', 'N15', 3],\\n\",\n       \"   ['N15', 'N16', 1],\\n\",\n       \"   ['N16', 'N17', 3],\\n\",\n       \"   ['N17', 'N18', 2],\\n\",\n       \"   ['N18', 'N19', 2]]},\\n\",\n       \" 'T': {'color': '#1aa7d8',\\n\",\n       \"  'transfers': [['T6', 'N10'],\\n\",\n       \"   ['T6', 'Y13'],\\n\",\n       \"   ['T7', 'Z6'],\\n\",\n       \"   ['T9', 'M18'],\\n\",\n       \"   ['T9', 'C11'],\\n\",\n       \"   ['T9', 'Z8'],\\n\",\n       \"   ['T10', 'G11'],\\n\",\n       \"   ['T11', 'H12']],\\n\",\n       \"  'travel_times': [['T1', 'T2', 0],\\n\",\n       \"   ['T2', 'T3', 3],\\n\",\n       \"   ['T3', 'T4', 6],\\n\",\n       \"   ['T4', 'T5', 9],\\n\",\n       \"   ['T5', 'T6', 11],\\n\",\n       \"   ['T6', 'T7', 13],\\n\",\n       \"   ['T7', 'T8', 14],\\n\",\n       \"   ['T8', 'T9', 16],\\n\",\n       \"   ['T9', 'T10', 18],\\n\",\n       \"   ['T10', 'T11', 20],\\n\",\n       \"   ['T11', 'T12', 21],\\n\",\n       \"   ['T12', 'T13', 24],\\n\",\n       \"   ['T13', 'T14', 26],\\n\",\n       \"   ['T14', 'T15', 27],\\n\",\n       \"   ['T15', 'T16', 30],\\n\",\n       \"   ['T16', 'T17', 33],\\n\",\n       \"   ['T17', 'T18', 35],\\n\",\n       \"   ['T18', 'T19', 37],\\n\",\n       \"   ['T19', 'T20', 39],\\n\",\n       \"   ['T20', 'T21', 41],\\n\",\n       \"   ['T21', 'T22', 43],\\n\",\n       \"   ['T22', 'T23', 46],\\n\",\n       \"   ['T23', 'T24', 49]]},\\n\",\n       \" 'Y': {'color': '#ede7c3',\\n\",\n       \"  'transfers': [['Y1', 'F1'],\\n\",\n       \"   ['Y2', 'F2'],\\n\",\n       \"   ['Y3', 'F3'],\\n\",\n       \"   ['Y4', 'F4'],\\n\",\n       \"   ['Y5', 'F5'],\\n\",\n       \"   ['Y6', 'F6'],\\n\",\n       \"   ['Y7', 'F7'],\\n\",\n       \"   ['Y8', 'F8'],\\n\",\n       \"   ['Y9', 'F9'],\\n\",\n       \"   ['Y9', 'M25'],\\n\",\n       \"   ['Y13', 'T6'],\\n\",\n       \"   ['Y13', 'N10'],\\n\",\n       \"   ['Y14', 'N9'],\\n\",\n       \"   ['Y16', 'Z4'],\\n\",\n       \"   ['Y16', 'N7'],\\n\",\n       \"   ['Y16', 'G5'],\\n\",\n       \"   ['Y16', 'M13'],\\n\",\n       \"   ['Y18', 'H7'],\\n\",\n       \"   ['Y18', 'C9']],\\n\",\n       \"  'travel_times': [['Y1', 'Y2', 4],\\n\",\n       \"   ['Y2', 'Y3', 2],\\n\",\n       \"   ['Y3', 'Y4', 3],\\n\",\n       \"   ['Y4', 'Y5', 2],\\n\",\n       \"   ['Y5', 'Y6', 2],\\n\",\n       \"   ['Y6', 'Y7', 2],\\n\",\n       \"   ['Y7', 'Y8', 2],\\n\",\n       \"   ['Y8', 'Y9', 3],\\n\",\n       \"   ['Y9', 'Y10', 2],\\n\",\n       \"   ['Y10', 'Y11', 2],\\n\",\n       \"   ['Y11', 'Y12', 2],\\n\",\n       \"   ['Y12', 'Y13', 3],\\n\",\n       \"   ['Y13', 'Y14', 2],\\n\",\n       \"   ['Y14', 'Y15', 2],\\n\",\n       \"   ['Y15', 'Y16', 1],\\n\",\n       \"   ['Y16', 'Y17', 2],\\n\",\n       \"   ['Y17', 'Y18', 2],\\n\",\n       \"   ['Y18', 'Y19', 2],\\n\",\n       \"   ['Y19', 'Y20', 2],\\n\",\n       \"   ['Y20', 'Y21', 2],\\n\",\n       \"   ['Y21', 'Y22', 2],\\n\",\n       \"   ['Y22', 'Y23', 3],\\n\",\n       \"   ['Y23', 'Y24', 2]]},\\n\",\n       \" 'Z': {'color': '#a384bf',\\n\",\n       \"  'transfers': [['Z1', 'F16'],\\n\",\n       \"   ['Z1', 'G1'],\\n\",\n       \"   ['Z2', 'C4'],\\n\",\n       \"   ['Z2', 'G2'],\\n\",\n       \"   ['Z3', 'G4'],\\n\",\n       \"   ['Z4', 'Y16'],\\n\",\n       \"   ['Z4', 'N7'],\\n\",\n       \"   ['Z4', 'M13'],\\n\",\n       \"   ['Z4', 'G5'],\\n\",\n       \"   ['Z6', 'T7'],\\n\",\n       \"   ['Z8', 'M18'],\\n\",\n       \"   ['Z8', 'C11'],\\n\",\n       \"   ['Z8', 'T9'],\\n\",\n       \"   ['Z9', 'G12']],\\n\",\n       \"  'travel_times': [['Z1', 'Z2', 3],\\n\",\n       \"   ['Z2', 'Z3', 2],\\n\",\n       \"   ['Z3', 'Z4', 2],\\n\",\n       \"   ['Z4', 'Z5', 2],\\n\",\n       \"   ['Z5', 'Z6', 2],\\n\",\n       \"   ['Z6', 'Z7', 2],\\n\",\n       \"   ['Z7', 'Z8', 2],\\n\",\n       \"   ['Z8', 'Z9', 2],\\n\",\n       \"   ['Z9', 'Z10', 3],\\n\",\n       \"   ['Z10', 'Z11', 3],\\n\",\n       \"   ['Z11', 'Z12', 3],\\n\",\n       \"   ['Z12', 'Z13', 2],\\n\",\n       \"   ['Z13', 'Z14', 2]]}}\"\n      ]\n     },\n     \"execution_count\": 214,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 215,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"-rw-------@ 1 rob  staff    27K Nov  2 17:55 tokyo-metro.json\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!ls -lh tokyo-metro.json\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 216,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data_pack = msgpack.packb(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 217,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"# del data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 218,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"bytes\"\n      ]\n     },\n     \"execution_count\": 218,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"type(data_pack)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 219,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"3021\"\n      ]\n     },\n     \"execution_count\": 219,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"len(data_pack)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 220,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"with open(\\\"tokyo-metro.msgpack\\\", \\\"wb\\\") as f:\\n\",\n    \"    f.write(data_pack)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 221,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"-rw-r--r--  1 rob  staff   3.0K Nov  3 18:23 tokyo-metro.msgpack\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!ls -lh tokyo-metro.msgpack\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 222,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"with open(\\\"tokyo-metro.msgpack\\\", \\\"rb\\\") as f:\\n\",\n    \"    data_msgpack = f.read()\\n\",\n    \"    data = msgpack.unpackb(data_msgpack)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 223,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"['C', 'G', 'F', 'H', 'M', 'N', 'T', 'Y', 'Z']\"\n      ]\n     },\n     \"execution_count\": 223,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"list(data.keys())\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 224,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"import pickle\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 225,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"with open(\\\"tokyo-metro.pickle\\\", \\\"wb\\\") as f:\\n\",\n    \"    pickle.dump(data, f)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 226,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"del data\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 227,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"-rw-r--r--  1 rob  staff   5.2K Nov  3 18:23 tokyo-metro.pickle\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!ls -lh tokyo-metro.pickle\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 228,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"with open(\\\"tokyo-metro.pickle\\\", \\\"rb\\\") as f:\\n\",\n    \"    data = pickle.load(f)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 229,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"dict_keys(['C', 'G', 'F', 'H', 'M', 'N', 'T', 'Y', 'Z'])\"\n      ]\n     },\n     \"execution_count\": 229,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"data.keys()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Versions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 230,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%reload_ext version_information\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 231,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/json\": {\n       \"Software versions\": [\n        {\n         \"module\": \"Python\",\n         \"version\": \"3.10.13 64bit [Clang 14.0.6 ]\"\n        },\n        {\n         \"module\": \"IPython\",\n         \"version\": \"8.20.0\"\n        },\n        {\n         \"module\": \"OS\",\n         \"version\": \"macOS 10.15.7 x86_64 i386 64bit\"\n        },\n        {\n         \"module\": \"numpy\",\n         \"version\": \"1.24.3\"\n        },\n        {\n         \"module\": \"pandas\",\n         \"version\": \"2.2.1\"\n        },\n        {\n         \"module\": \"csv\",\n         \"version\": \"1.0\"\n        },\n        {\n         \"module\": \"json\",\n         \"version\": \"2.0.9\"\n        },\n        {\n         \"module\": \"tables\",\n         \"version\": \"3.9.2\"\n        },\n        {\n         \"module\": \"h5py\",\n         \"version\": \"3.9.0\"\n        },\n        {\n         \"module\": \"msgpack\",\n         \"version\": \"1.0.3\"\n        }\n       ]\n      },\n      \"text/html\": [\n       \"<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.10.13 64bit [Clang 14.0.6 ]</td></tr><tr><td>IPython</td><td>8.20.0</td></tr><tr><td>OS</td><td>macOS 10.15.7 x86\\\\_64 i386 64bit</td></tr><tr><td>numpy</td><td>1.24.3</td></tr><tr><td>pandas</td><td>2.2.1</td></tr><tr><td>csv</td><td>1.0</td></tr><tr><td>json</td><td>2.0.9</td></tr><tr><td>tables</td><td>3.9.2</td></tr><tr><td>h5py</td><td>3.9.0</td></tr><tr><td>msgpack</td><td>1.0.3</td></tr><tr><td colspan='2'>Sun Nov 03 18:23:56 2024 JST</td></tr></table>\"\n      ],\n      \"text/latex\": [\n       \"\\\\begin{tabular}{|l|l|}\\\\hline\\n\",\n       \"{\\\\bf Software} & {\\\\bf Version} \\\\\\\\ \\\\hline\\\\hline\\n\",\n       \"Python & 3.10.13 64bit [Clang 14.0.6 ] \\\\\\\\ \\\\hline\\n\",\n       \"IPython & 8.20.0 \\\\\\\\ \\\\hline\\n\",\n       \"OS & macOS 10.15.7 x86\\\\_64 i386 64bit \\\\\\\\ \\\\hline\\n\",\n       \"numpy & 1.24.3 \\\\\\\\ \\\\hline\\n\",\n       \"pandas & 2.2.1 \\\\\\\\ \\\\hline\\n\",\n       \"csv & 1.0 \\\\\\\\ \\\\hline\\n\",\n       \"json & 2.0.9 \\\\\\\\ \\\\hline\\n\",\n       \"tables & 3.9.2 \\\\\\\\ \\\\hline\\n\",\n       \"h5py & 3.9.0 \\\\\\\\ \\\\hline\\n\",\n       \"msgpack & 1.0.3 \\\\\\\\ \\\\hline\\n\",\n       \"\\\\hline \\\\multicolumn{2}{|l|}{Sun Nov 03 18:23:56 2024 JST} \\\\\\\\ \\\\hline\\n\",\n       \"\\\\end{tabular}\\n\"\n      ],\n      \"text/plain\": [\n       \"Software versions\\n\",\n       \"Python 3.10.13 64bit [Clang 14.0.6 ]\\n\",\n       \"IPython 8.20.0\\n\",\n       \"OS macOS 10.15.7 x86_64 i386 64bit\\n\",\n       \"numpy 1.24.3\\n\",\n       \"pandas 2.2.1\\n\",\n       \"csv 1.0\\n\",\n       \"json 2.0.9\\n\",\n       \"tables 3.9.2\\n\",\n       \"h5py 3.9.0\\n\",\n       \"msgpack 1.0.3\\n\",\n       \"Sun Nov 03 18:23:56 2024 JST\"\n      ]\n     },\n     \"execution_count\": 231,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%version_information numpy, pandas, csv, json, tables, h5py, msgpack\"\n   ]\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"py3.11\",\n   \"language\": \"python\",\n   \"name\": \"py3.11\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.13\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "ch19-code-listing.ipynb",
    "content": "{\n \"cells\": [\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Chapter 19: Code optimization\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"Robert Johansson\\n\",\n    \"\\n\",\n    \"Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://link.springer.com/book/10.1007/979-8-8688-0413-7) (ISBN 979-8-8688-0412-0).\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    },\n    \"scrolled\": true\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import numba\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import pyximport\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 3,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import cython\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 6,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"import numpy as np\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 7,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%matplotlib inline\\n\",\n    \"import matplotlib.pyplot as plt\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Numba\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 8,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"np.random.seed(0)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 9,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"data = np.random.randn(50000)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 10,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def py_sum(data):\\n\",\n    \"    s = 0\\n\",\n    \"    for d in data:\\n\",\n    \"        s += d\\n\",\n    \"    return s\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 11,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def py_cumsum(data):\\n\",\n    \"    out = np.zeros(len(data), dtype=np.float64)\\n\",\n    \"    s = 0 \\n\",\n    \"    for n in range(len(data)):\\n\",\n    \"        s += data[n]\\n\",\n    \"        out[n] = s\\n\",\n    \"\\n\",\n    \"    return out\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 12,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"2.99 ms ± 39.3 μs per loop (mean ± std. dev. of 7 runs, 100 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit py_sum(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 13,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"assert abs(py_sum(data) - np.sum(data)) < 1e-10\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 14,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"12.7 μs ± 164 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit np.sum(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 15,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"6.44 ms ± 14.1 μs per loop (mean ± std. dev. of 7 runs, 100 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit py_cumsum(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 16,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"assert np.allclose(np.cumsum(data), py_cumsum(data))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 17,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"106 μs ± 245 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit np.cumsum(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 18,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"@numba.jit\\n\",\n    \"def jit_sum(data):\\n\",\n    \"    s = 0 \\n\",\n    \"    for d in data:\\n\",\n    \"        s += d\\n\",\n    \"\\n\",\n    \"    return s\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 19,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"assert abs(jit_sum(data) - np.sum(data)) < 1e-10\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 20,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"46 μs ± 22.2 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit jit_sum(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 21,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"jit_cumsum = numba.jit()(py_cumsum)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 22,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"assert np.allclose(np.cumsum(data), jit_cumsum(data))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 23,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"52.9 μs ± 25.4 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit jit_cumsum(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Julia fractal\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 24,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def py_julia_fractal(z_re, z_im, j):\\n\",\n    \"    for m in range(len(z_re)):\\n\",\n    \"        for n in range(len(z_im)):\\n\",\n    \"            z = z_re[m] + 1j * z_im[n]\\n\",\n    \"            for t in range(256):\\n\",\n    \"                z = z ** 2 - 0.05 + 0.68j\\n\",\n    \"                if np.abs(z) > 2.0:\\n\",\n    \"                #if (z.real * z.real + z.imag * z.imag) > 4.0:  # a bit faster\\n\",\n    \"                    j[m, n] = t\\n\",\n    \"                    break\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 25,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"jit_julia_fractal = numba.jit(nopython=True)(py_julia_fractal)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 26,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"N = 1024\\n\",\n    \"j = np.zeros((N, N), np.int64)\\n\",\n    \"z_real = np.linspace(-1.5, 1.5, N)\\n\",\n    \"z_imag = np.linspace(-1.5, 1.5, N)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 27,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"jit_julia_fractal(z_real, z_imag, j)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 28,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1400x1400 with 1 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, ax = plt.subplots(figsize=(14, 14))\\n\",\n    \"ax.imshow(j, cmap=plt.cm.RdBu_r,\\n\",\n    \"          extent=[-1.5, 1.5, -1.5, 1.5])\\n\",\n    \"ax.set_xlabel(\\\"$\\\\mathrm{Re}(z)$\\\", fontsize=18)\\n\",\n    \"ax.set_ylabel(\\\"$\\\\mathrm{Im}(z)$\\\", fontsize=18)\\n\",\n    \"fig.tight_layout()\\n\",\n    \"fig.savefig(\\\"ch19-numba-julia-fractal.pdf\\\")\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 29,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"15.6 s ± 82.5 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit py_julia_fractal(z_real, z_imag, j)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 30,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"175 ms ± 567 μs per loop (mean ± std. dev. of 7 runs, 10 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit jit_julia_fractal(z_real, z_imag, j)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Vectorize\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 31,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def py_Heaviside(x):\\n\",\n    \"    if x == 0.0:\\n\",\n    \"        return 0.5\\n\",\n    \"    \\n\",\n    \"    if x < 0.0:\\n\",\n    \"        return 0.0\\n\",\n    \"    else:\\n\",\n    \"        return 1.0\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 32,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"x = np.linspace(-2, 2, 50001)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 33,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"6.44 ms ± 63.1 μs per loop (mean ± std. dev. of 7 runs, 100 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit [py_Heaviside(xx) for xx in x]\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 34,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"np_vec_Heaviside = np.vectorize(py_Heaviside)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 35,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0., 0., 0., ..., 1., 1., 1.])\"\n      ]\n     },\n     \"execution_count\": 35,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"np_vec_Heaviside(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 36,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"4.93 ms ± 187 μs per loop (mean ± std. dev. of 7 runs, 100 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit np_vec_Heaviside(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 37,\n   \"metadata\": {\n    \"tags\": []\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"def np_Heaviside(x):\\n\",\n    \"    return (x > 0.0) + (x == 0.0)/2.0\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 38,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"81.3 μs ± 456 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit np_Heaviside(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 39,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"@numba.vectorize([numba.float32(numba.float32),\\n\",\n    \"                  numba.float64(numba.float64)])\\n\",\n    \"def jit_Heaviside(x):\\n\",\n    \"    if x == 0.0:\\n\",\n    \"        return 0.5\\n\",\n    \"    \\n\",\n    \"    if x < 0:\\n\",\n    \"        return 0.0\\n\",\n    \"    else:\\n\",\n    \"        return 1.0\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 40,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"15.7 μs ± 368 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit jit_Heaviside(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 41,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"array([0. , 0. , 0.5, 1. , 1. ])\"\n      ]\n     },\n     \"execution_count\": 41,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"jit_Heaviside([-1, -0.5, 0.0, 0.5, 1.0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Cython\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 42,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"rm: cannot remove 'cy_sum.*': No such file or directory\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!rm cy_sum.*\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 43,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Writing cy_sum.pyx\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%%writefile cy_sum.pyx\\n\",\n    \"\\n\",\n    \"def cy_sum(data):\\n\",\n    \"    s = 0.0\\n\",\n    \"    for d in data:\\n\",\n    \"        s += d\\n\",\n    \"    return s\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 44,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/opt/conda/lib/python3.11/site-packages/Cython/Compiler/Main.py:381: FutureWarning: Cython directive 'language_level' not set, using '3str' for now (Py3). This has changed from earlier releases! File: /home/rob/notebooks/cy_sum.pyx\\n\",\n      \"  tree = Parsing.p_module(s, pxd, full_module_name)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!cython cy_sum.pyx\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 45,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"  6126  19777 233611 cy_sum.c\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"# 5 lines of python code -> 1470 lines of C code ...\\n\",\n    \"!wc cy_sum.c\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 46,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Writing setup.py\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%%writefile setup.py\\n\",\n    \"\\n\",\n    \"from distutils.core import setup\\n\",\n    \"from Cython.Build import cythonize\\n\",\n    \"\\n\",\n    \"import numpy as np\\n\",\n    \"setup(ext_modules=cythonize('cy_sum.pyx'),\\n\",\n    \"      include_dirs=[np.get_include()],\\n\",\n    \"      requires=['Cython', 'numpy'] )\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 52,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"/opt/conda/envs/npbook_py310/lib/python3.10/site-packages/Cython/Compiler/Main.py:381: FutureWarning: Cython directive 'language_level' not set, using '3str' for now (Py3). This has changed from earlier releases! File: /home/rob/notebooks/cy_sum.pyx\\n\",\n      \"  tree = Parsing.p_module(s, pxd, full_module_name)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"!/opt/conda/envs/npbook_py310/bin/python setup.py build_ext --inplace > /dev/null\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 53,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from cy_sum import cy_sum\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 54,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"-189.70046227549025\"\n      ]\n     },\n     \"execution_count\": 54,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"cy_sum(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 55,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"2.44 ms ± 115 μs per loop (mean ± std. dev. of 7 runs, 100 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit cy_sum(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 56,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"2.87 ms ± 71.3 μs per loop (mean ± std. dev. of 7 runs, 100 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit py_sum(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 57,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Writing cy_cumsum.pyx\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%%writefile cy_cumsum.pyx\\n\",\n    \"\\n\",\n    \"cimport numpy\\n\",\n    \"import numpy\\n\",\n    \"\\n\",\n    \"def cy_cumsum(data):\\n\",\n    \"    out = numpy.zeros_like(data)\\n\",\n    \"    s = 0 \\n\",\n    \"    for n in range(len(data)):\\n\",\n    \"        s += data[n]\\n\",\n    \"        out[n] = s\\n\",\n    \"\\n\",\n    \"    return out\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 58,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"pyximport.install(setup_args={'include_dirs': np.get_include()});\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 59,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"pyximport.install(setup_args=dict(include_dirs=np.get_include()));\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"from cy_cumsum import cy_cumsum\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 61,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"5.94 ms ± 165 μs per loop (mean ± std. dev. of 7 runs, 100 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit cy_cumsum(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 62,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"6.47 ms ± 41.1 μs per loop (mean ± std. dev. of 7 runs, 100 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit py_cumsum(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Using IPython cython command\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 63,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%load_ext cython\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 64,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<!DOCTYPE html>\\n\",\n       \"<!-- Generated by Cython 3.0.11 -->\\n\",\n       \"<html>\\n\",\n       \"<head>\\n\",\n       \"    <meta http-equiv=\\\"Content-Type\\\" content=\\\"text/html; charset=utf-8\\\" />\\n\",\n       \"    <title>Cython: _cython_magic_3fb89a41dd02054b2ba14111758c0b9f8953837c.pyx</title>\\n\",\n       \"    <style type=\\\"text/css\\\">\\n\",\n       \"    \\n\",\n       \"body.cython { font-family: courier; font-size: 12; }\\n\",\n       \"\\n\",\n       \".cython.tag  {  }\\n\",\n       \".cython.line { color: #000000; margin: 0em }\\n\",\n       \".cython.code { font-size: 9; color: #444444; display: none; margin: 0px 0px 0px 8px; border-left: 8px none; }\\n\",\n       \"\\n\",\n       \".cython.line .run { background-color: #B0FFB0; }\\n\",\n       \".cython.line .mis { background-color: #FFB0B0; }\\n\",\n       \".cython.code.run  { border-left: 8px solid #B0FFB0; }\\n\",\n       \".cython.code.mis  { border-left: 8px solid #FFB0B0; }\\n\",\n       \"\\n\",\n       \".cython.code .py_c_api  { color: red; }\\n\",\n       \".cython.code .py_macro_api  { color: #FF7000; }\\n\",\n       \".cython.code .pyx_c_api  { color: #FF3000; }\\n\",\n       \".cython.code .pyx_macro_api  { color: #FF7000; }\\n\",\n       \".cython.code .refnanny  { color: #FFA000; }\\n\",\n       \".cython.code .trace  { color: #FFA000; }\\n\",\n       \".cython.code .error_goto  { color: #FFA000; }\\n\",\n       \"\\n\",\n       \".cython.code .coerce  { color: #008000; border: 1px dotted #008000 }\\n\",\n       \".cython.code .py_attr { color: #FF0000; font-weight: bold; }\\n\",\n       \".cython.code .c_attr  { color: #0000FF; }\\n\",\n       \".cython.code .py_call { color: #FF0000; font-weight: bold; }\\n\",\n       \".cython.code .c_call  { color: #0000FF; }\\n\",\n       \"\\n\",\n       \".cython.score-0 {background-color: #FFFFff;}\\n\",\n       \".cython.score-1 {background-color: #FFFFe7;}\\n\",\n       \".cython.score-2 {background-color: #FFFFd4;}\\n\",\n       \".cython.score-3 {background-color: #FFFFc4;}\\n\",\n       \".cython.score-4 {background-color: #FFFFb6;}\\n\",\n       \".cython.score-5 {background-color: #FFFFaa;}\\n\",\n       \".cython.score-6 {background-color: #FFFF9f;}\\n\",\n       \".cython.score-7 {background-color: #FFFF96;}\\n\",\n       \".cython.score-8 {background-color: #FFFF8d;}\\n\",\n       \".cython.score-9 {background-color: #FFFF86;}\\n\",\n       \".cython.score-10 {background-color: #FFFF7f;}\\n\",\n       \".cython.score-11 {background-color: #FFFF79;}\\n\",\n       \".cython.score-12 {background-color: #FFFF73;}\\n\",\n       \".cython.score-13 {background-color: #FFFF6e;}\\n\",\n       \".cython.score-14 {background-color: #FFFF6a;}\\n\",\n       \".cython.score-15 {background-color: #FFFF66;}\\n\",\n       \".cython.score-16 {background-color: #FFFF62;}\\n\",\n       \".cython.score-17 {background-color: #FFFF5e;}\\n\",\n       \".cython.score-18 {background-color: #FFFF5b;}\\n\",\n       \".cython.score-19 {background-color: #FFFF57;}\\n\",\n       \".cython.score-20 {background-color: #FFFF55;}\\n\",\n       \".cython.score-21 {background-color: #FFFF52;}\\n\",\n       \".cython.score-22 {background-color: #FFFF4f;}\\n\",\n       \".cython.score-23 {background-color: #FFFF4d;}\\n\",\n       \".cython.score-24 {background-color: #FFFF4b;}\\n\",\n       \".cython.score-25 {background-color: #FFFF48;}\\n\",\n       \".cython.score-26 {background-color: #FFFF46;}\\n\",\n       \".cython.score-27 {background-color: #FFFF44;}\\n\",\n       \".cython.score-28 {background-color: #FFFF43;}\\n\",\n       \".cython.score-29 {background-color: #FFFF41;}\\n\",\n       \".cython.score-30 {background-color: #FFFF3f;}\\n\",\n       \".cython.score-31 {background-color: #FFFF3e;}\\n\",\n       \".cython.score-32 {background-color: #FFFF3c;}\\n\",\n       \".cython.score-33 {background-color: #FFFF3b;}\\n\",\n       \".cython.score-34 {background-color: #FFFF39;}\\n\",\n       \".cython.score-35 {background-color: #FFFF38;}\\n\",\n       \".cython.score-36 {background-color: #FFFF37;}\\n\",\n       \".cython.score-37 {background-color: #FFFF36;}\\n\",\n       \".cython.score-38 {background-color: #FFFF35;}\\n\",\n       \".cython.score-39 {background-color: #FFFF34;}\\n\",\n       \".cython.score-40 {background-color: #FFFF33;}\\n\",\n       \".cython.score-41 {background-color: #FFFF32;}\\n\",\n       \".cython.score-42 {background-color: #FFFF31;}\\n\",\n       \".cython.score-43 {background-color: #FFFF30;}\\n\",\n       \".cython.score-44 {background-color: #FFFF2f;}\\n\",\n       \".cython.score-45 {background-color: #FFFF2e;}\\n\",\n       \".cython.score-46 {background-color: #FFFF2d;}\\n\",\n       \".cython.score-47 {background-color: #FFFF2c;}\\n\",\n       \".cython.score-48 {background-color: #FFFF2b;}\\n\",\n       \".cython.score-49 {background-color: #FFFF2b;}\\n\",\n       \".cython.score-50 {background-color: #FFFF2a;}\\n\",\n       \".cython.score-51 {background-color: #FFFF29;}\\n\",\n       \".cython.score-52 {background-color: #FFFF29;}\\n\",\n       \".cython.score-53 {background-color: #FFFF28;}\\n\",\n       \".cython.score-54 {background-color: #FFFF27;}\\n\",\n       \".cython.score-55 {background-color: #FFFF27;}\\n\",\n       \".cython.score-56 {background-color: #FFFF26;}\\n\",\n       \".cython.score-57 {background-color: #FFFF26;}\\n\",\n       \".cython.score-58 {background-color: #FFFF25;}\\n\",\n       \".cython.score-59 {background-color: #FFFF24;}\\n\",\n       \".cython.score-60 {background-color: #FFFF24;}\\n\",\n       \".cython.score-61 {background-color: #FFFF23;}\\n\",\n       \".cython.score-62 {background-color: #FFFF23;}\\n\",\n       \".cython.score-63 {background-color: #FFFF22;}\\n\",\n       \".cython.score-64 {background-color: #FFFF22;}\\n\",\n       \".cython.score-65 {background-color: #FFFF22;}\\n\",\n       \".cython.score-66 {background-color: #FFFF21;}\\n\",\n       \".cython.score-67 {background-color: #FFFF21;}\\n\",\n       \".cython.score-68 {background-color: #FFFF20;}\\n\",\n       \".cython.score-69 {background-color: #FFFF20;}\\n\",\n       \".cython.score-70 {background-color: #FFFF1f;}\\n\",\n       \".cython.score-71 {background-color: #FFFF1f;}\\n\",\n       \".cython.score-72 {background-color: #FFFF1f;}\\n\",\n       \".cython.score-73 {background-color: #FFFF1e;}\\n\",\n       \".cython.score-74 {background-color: #FFFF1e;}\\n\",\n       \".cython.score-75 {background-color: #FFFF1e;}\\n\",\n       \".cython.score-76 {background-color: #FFFF1d;}\\n\",\n       \".cython.score-77 {background-color: #FFFF1d;}\\n\",\n       \".cython.score-78 {background-color: #FFFF1c;}\\n\",\n       \".cython.score-79 {background-color: #FFFF1c;}\\n\",\n       \".cython.score-80 {background-color: #FFFF1c;}\\n\",\n       \".cython.score-81 {background-color: #FFFF1c;}\\n\",\n       \".cython.score-82 {background-color: #FFFF1b;}\\n\",\n       \".cython.score-83 {background-color: #FFFF1b;}\\n\",\n       \".cython.score-84 {background-color: #FFFF1b;}\\n\",\n       \".cython.score-85 {background-color: #FFFF1a;}\\n\",\n       \".cython.score-86 {background-color: #FFFF1a;}\\n\",\n       \".cython.score-87 {background-color: #FFFF1a;}\\n\",\n       \".cython.score-88 {background-color: #FFFF1a;}\\n\",\n       \".cython.score-89 {background-color: #FFFF19;}\\n\",\n       \".cython.score-90 {background-color: #FFFF19;}\\n\",\n       \".cython.score-91 {background-color: #FFFF19;}\\n\",\n       \".cython.score-92 {background-color: #FFFF19;}\\n\",\n       \".cython.score-93 {background-color: #FFFF18;}\\n\",\n       \".cython.score-94 {background-color: #FFFF18;}\\n\",\n       \".cython.score-95 {background-color: #FFFF18;}\\n\",\n       \".cython.score-96 {background-color: #FFFF18;}\\n\",\n       \".cython.score-97 {background-color: #FFFF17;}\\n\",\n       \".cython.score-98 {background-color: #FFFF17;}\\n\",\n       \".cython.score-99 {background-color: #FFFF17;}\\n\",\n       \".cython.score-100 {background-color: #FFFF17;}\\n\",\n       \".cython.score-101 {background-color: #FFFF16;}\\n\",\n       \".cython.score-102 {background-color: #FFFF16;}\\n\",\n       \".cython.score-103 {background-color: #FFFF16;}\\n\",\n       \".cython.score-104 {background-color: #FFFF16;}\\n\",\n       \".cython.score-105 {background-color: #FFFF16;}\\n\",\n       \".cython.score-106 {background-color: #FFFF15;}\\n\",\n       \".cython.score-107 {background-color: #FFFF15;}\\n\",\n       \".cython.score-108 {background-color: #FFFF15;}\\n\",\n       \".cython.score-109 {background-color: #FFFF15;}\\n\",\n       \".cython.score-110 {background-color: #FFFF15;}\\n\",\n       \".cython.score-111 {background-color: #FFFF15;}\\n\",\n       \".cython.score-112 {background-color: #FFFF14;}\\n\",\n       \".cython.score-113 {background-color: #FFFF14;}\\n\",\n       \".cython.score-114 {background-color: #FFFF14;}\\n\",\n       \".cython.score-115 {background-color: #FFFF14;}\\n\",\n       \".cython.score-116 {background-color: #FFFF14;}\\n\",\n       \".cython.score-117 {background-color: #FFFF14;}\\n\",\n       \".cython.score-118 {background-color: #FFFF13;}\\n\",\n       \".cython.score-119 {background-color: #FFFF13;}\\n\",\n       \".cython.score-120 {background-color: #FFFF13;}\\n\",\n       \".cython.score-121 {background-color: #FFFF13;}\\n\",\n       \".cython.score-122 {background-color: #FFFF13;}\\n\",\n       \".cython.score-123 {background-color: #FFFF13;}\\n\",\n       \".cython.score-124 {background-color: #FFFF13;}\\n\",\n       \".cython.score-125 {background-color: #FFFF12;}\\n\",\n       \".cython.score-126 {background-color: #FFFF12;}\\n\",\n       \".cython.score-127 {background-color: #FFFF12;}\\n\",\n       \".cython.score-128 {background-color: #FFFF12;}\\n\",\n       \".cython.score-129 {background-color: #FFFF12;}\\n\",\n       \".cython.score-130 {background-color: #FFFF12;}\\n\",\n       \".cython.score-131 {background-color: #FFFF12;}\\n\",\n       \".cython.score-132 {background-color: #FFFF11;}\\n\",\n       \".cython.score-133 {background-color: #FFFF11;}\\n\",\n       \".cython.score-134 {background-color: #FFFF11;}\\n\",\n       \".cython.score-135 {background-color: #FFFF11;}\\n\",\n       \".cython.score-136 {background-color: #FFFF11;}\\n\",\n       \".cython.score-137 {background-color: #FFFF11;}\\n\",\n       \".cython.score-138 {background-color: #FFFF11;}\\n\",\n       \".cython.score-139 {background-color: #FFFF11;}\\n\",\n       \".cython.score-140 {background-color: #FFFF11;}\\n\",\n       \".cython.score-141 {background-color: #FFFF10;}\\n\",\n       \".cython.score-142 {background-color: #FFFF10;}\\n\",\n       \".cython.score-143 {background-color: #FFFF10;}\\n\",\n       \".cython.score-144 {background-color: #FFFF10;}\\n\",\n       \".cython.score-145 {background-color: #FFFF10;}\\n\",\n       \".cython.score-146 {background-color: #FFFF10;}\\n\",\n       \".cython.score-147 {background-color: #FFFF10;}\\n\",\n       \".cython.score-148 {background-color: #FFFF10;}\\n\",\n       \".cython.score-149 {background-color: #FFFF10;}\\n\",\n       \".cython.score-150 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-151 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-152 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-153 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-154 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-155 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-156 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-157 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-158 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-159 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-160 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-161 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-162 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-163 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-164 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-165 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-166 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-167 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-168 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-169 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-170 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-171 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-172 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-173 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-174 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-175 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-176 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-177 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-178 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-179 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-180 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-181 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-182 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-183 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-184 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-185 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-186 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-187 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-188 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-189 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-190 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-191 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-192 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-193 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-194 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-195 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-196 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-197 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-198 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-199 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-200 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-201 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-202 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-203 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-204 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-205 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-206 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-207 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-208 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-209 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-210 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-211 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-212 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-213 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-214 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-215 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-216 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-217 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-218 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-219 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-220 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-221 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-222 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-223 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-224 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-225 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-226 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-227 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-228 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-229 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-230 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-231 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-232 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-233 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-234 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-235 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-236 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-237 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-238 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-239 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-240 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-241 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-242 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-243 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-244 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-245 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-246 {background-color: #FFFF09;}\\n\",\n       \".cython.score-247 {background-color: #FFFF09;}\\n\",\n       \".cython.score-248 {background-color: #FFFF09;}\\n\",\n       \".cython.score-249 {background-color: #FFFF09;}\\n\",\n       \".cython.score-250 {background-color: #FFFF09;}\\n\",\n       \".cython.score-251 {background-color: #FFFF09;}\\n\",\n       \".cython.score-252 {background-color: #FFFF09;}\\n\",\n       \".cython.score-253 {background-color: #FFFF09;}\\n\",\n       \".cython.score-254 {background-color: #FFFF09;}\\n\",\n       \".cython .hll { background-color: #ffffcc }\\n\",\n       \".cython  { background: #f8f8f8; }\\n\",\n       \".cython .c { color: #408080; font-style: italic } /* Comment */\\n\",\n       \".cython .err { border: 1px solid #FF0000 } /* Error */\\n\",\n       \".cython .k { color: #008000; font-weight: bold } /* Keyword */\\n\",\n       \".cython .o { color: #666666 } /* Operator */\\n\",\n       \".cython .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n\",\n       \".cython .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n\",\n       \".cython .cp { color: #BC7A00 } /* Comment.Preproc */\\n\",\n       \".cython .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n\",\n       \".cython .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n\",\n       \".cython .cs { color: #408080; font-style: italic } /* Comment.Special */\\n\",\n       \".cython .gd { color: #A00000 } /* Generic.Deleted */\\n\",\n       \".cython .ge { font-style: italic } /* Generic.Emph */\\n\",\n       \".cython .gr { color: #FF0000 } /* Generic.Error */\\n\",\n       \".cython .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n\",\n       \".cython .gi { color: #00A000 } /* Generic.Inserted */\\n\",\n       \".cython .go { color: #888888 } /* Generic.Output */\\n\",\n       \".cython .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n\",\n       \".cython .gs { font-weight: bold } /* Generic.Strong */\\n\",\n       \".cython .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n\",\n       \".cython .gt { color: #0044DD } /* Generic.Traceback */\\n\",\n       \".cython .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n\",\n       \".cython .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n\",\n       \".cython .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n\",\n       \".cython .kp { color: #008000 } /* Keyword.Pseudo */\\n\",\n       \".cython .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n\",\n       \".cython .kt { color: #B00040 } /* Keyword.Type */\\n\",\n       \".cython .m { color: #666666 } /* Literal.Number */\\n\",\n       \".cython .s { color: #BA2121 } /* Literal.String */\\n\",\n       \".cython .na { color: #7D9029 } /* Name.Attribute */\\n\",\n       \".cython .nb { color: #008000 } /* Name.Builtin */\\n\",\n       \".cython .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n\",\n       \".cython .no { color: #880000 } /* Name.Constant */\\n\",\n       \".cython .nd { color: #AA22FF } /* Name.Decorator */\\n\",\n       \".cython .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n\",\n       \".cython .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n\",\n       \".cython .nf { color: #0000FF } /* Name.Function */\\n\",\n       \".cython .nl { color: #A0A000 } /* Name.Label */\\n\",\n       \".cython .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n\",\n       \".cython .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n\",\n       \".cython .nv { color: #19177C } /* Name.Variable */\\n\",\n       \".cython .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n\",\n       \".cython .w { color: #bbbbbb } /* Text.Whitespace */\\n\",\n       \".cython .mb { color: #666666 } /* Literal.Number.Bin */\\n\",\n       \".cython .mf { color: #666666 } /* Literal.Number.Float */\\n\",\n       \".cython .mh { color: #666666 } /* Literal.Number.Hex */\\n\",\n       \".cython .mi { color: #666666 } /* Literal.Number.Integer */\\n\",\n       \".cython .mo { color: #666666 } /* Literal.Number.Oct */\\n\",\n       \".cython .sa { color: #BA2121 } /* Literal.String.Affix */\\n\",\n       \".cython .sb { color: #BA2121 } /* Literal.String.Backtick */\\n\",\n       \".cython .sc { color: #BA2121 } /* Literal.String.Char */\\n\",\n       \".cython .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n\",\n       \".cython .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n\",\n       \".cython .s2 { color: #BA2121 } /* Literal.String.Double */\\n\",\n       \".cython .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n\",\n       \".cython .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n\",\n       \".cython .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n\",\n       \".cython .sx { color: #008000 } /* Literal.String.Other */\\n\",\n       \".cython .sr { color: #BB6688 } /* Literal.String.Regex */\\n\",\n       \".cython .s1 { color: #BA2121 } /* Literal.String.Single */\\n\",\n       \".cython .ss { color: #19177C } /* Literal.String.Symbol */\\n\",\n       \".cython .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n\",\n       \".cython .fm { color: #0000FF } /* Name.Function.Magic */\\n\",\n       \".cython .vc { color: #19177C } /* Name.Variable.Class */\\n\",\n       \".cython .vg { color: #19177C } /* Name.Variable.Global */\\n\",\n       \".cython .vi { color: #19177C } /* Name.Variable.Instance */\\n\",\n       \".cython .vm { color: #19177C } /* Name.Variable.Magic */\\n\",\n       \".cython .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\",\n       \"    </style>\\n\",\n       \"</head>\\n\",\n       \"<body class=\\\"cython\\\">\\n\",\n       \"<p><span style=\\\"border-bottom: solid 1px grey;\\\">Generated by Cython 3.0.11</span></p>\\n\",\n       \"<p>\\n\",\n       \"    <span style=\\\"background-color: #FFFF00\\\">Yellow lines</span> hint at Python interaction.<br />\\n\",\n       \"    Click on a line that starts with a \\\"<code>+</code>\\\" to see the C code that Cython generated for it.\\n\",\n       \"</p>\\n\",\n       \"<div class=\\\"cython\\\"><pre class=\\\"cython line score-60\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">1</span>: <span class=\\\"k\\\">def</span> <span class=\\\"nf\\\">cy_sum</span><span class=\\\"p\\\">(</span><span class=\\\"n\\\">data</span><span class=\\\"p\\\">):</span></pre>\\n\",\n       \"<pre class='cython code score-60 '>/* Python wrapper */\\n\",\n       \"static PyObject *__pyx_pw_54_cython_magic_3fb89a41dd02054b2ba14111758c0b9f8953837c_1cy_sum(PyObject *__pyx_self, \\n\",\n       \"#if CYTHON_METH_FASTCALL\\n\",\n       \"PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds\\n\",\n       \"#else\\n\",\n       \"PyObject *__pyx_args, PyObject *__pyx_kwds\\n\",\n       \"#endif\\n\",\n       \"); /*proto*/\\n\",\n       \"static PyMethodDef __pyx_mdef_54_cython_magic_3fb89a41dd02054b2ba14111758c0b9f8953837c_1cy_sum = {\\\"cy_sum\\\", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_54_cython_magic_3fb89a41dd02054b2ba14111758c0b9f8953837c_1cy_sum, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0};\\n\",\n       \"static PyObject *__pyx_pw_54_cython_magic_3fb89a41dd02054b2ba14111758c0b9f8953837c_1cy_sum(PyObject *__pyx_self, \\n\",\n       \"#if CYTHON_METH_FASTCALL\\n\",\n       \"PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds\\n\",\n       \"#else\\n\",\n       \"PyObject *__pyx_args, PyObject *__pyx_kwds\\n\",\n       \"#endif\\n\",\n       \") {\\n\",\n       \"  PyObject *__pyx_v_data = 0;\\n\",\n       \"  #if !CYTHON_METH_FASTCALL\\n\",\n       \"  CYTHON_UNUSED Py_ssize_t __pyx_nargs;\\n\",\n       \"  #endif\\n\",\n       \"  CYTHON_UNUSED PyObject *const *__pyx_kwvalues;\\n\",\n       \"  PyObject *__pyx_r = 0;\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyDeclarations</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannySetupContext</span>(\\\"cy_sum (wrapper)\\\", 0);\\n\",\n       \"  #if !CYTHON_METH_FASTCALL\\n\",\n       \"  #if CYTHON_ASSUME_SAFE_MACROS\\n\",\n       \"  __pyx_nargs = <span class='py_macro_api'>PyTuple_GET_SIZE</span>(__pyx_args);\\n\",\n       \"  #else\\n\",\n       \"  __pyx_nargs = <span class='py_c_api'>PyTuple_Size</span>(__pyx_args); if (unlikely(__pyx_nargs &lt; 0)) return NULL;\\n\",\n       \"  #endif\\n\",\n       \"  #endif\\n\",\n       \"  __pyx_kwvalues = <span class='pyx_c_api'>__Pyx_KwValues_FASTCALL</span>(__pyx_args, __pyx_nargs);\\n\",\n       \"  {\\n\",\n       \"    PyObject **__pyx_pyargnames[] = {&amp;__pyx_n_s_data,0};\\n\",\n       \"  PyObject* values[1] = {0};\\n\",\n       \"    if (__pyx_kwds) {\\n\",\n       \"      Py_ssize_t kw_args;\\n\",\n       \"      switch (__pyx_nargs) {\\n\",\n       \"        case  1: values[0] = <span class='pyx_c_api'>__Pyx_Arg_FASTCALL</span>(__pyx_args, 0);\\n\",\n       \"        CYTHON_FALLTHROUGH;\\n\",\n       \"        case  0: break;\\n\",\n       \"        default: goto __pyx_L5_argtuple_error;\\n\",\n       \"      }\\n\",\n       \"      kw_args = <span class='pyx_c_api'>__Pyx_NumKwargs_FASTCALL</span>(__pyx_kwds);\\n\",\n       \"      switch (__pyx_nargs) {\\n\",\n       \"        case  0:\\n\",\n       \"        if (likely((values[0] = <span class='pyx_c_api'>__Pyx_GetKwValue_FASTCALL</span>(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_data)) != 0)) {\\n\",\n       \"          (void)<span class='pyx_c_api'>__Pyx_Arg_NewRef_FASTCALL</span>(values[0]);\\n\",\n       \"          kw_args--;\\n\",\n       \"        }\\n\",\n       \"        else if (unlikely(<span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 1, __pyx_L3_error)</span>\\n\",\n       \"        else goto __pyx_L5_argtuple_error;\\n\",\n       \"      }\\n\",\n       \"      if (unlikely(kw_args &gt; 0)) {\\n\",\n       \"        const Py_ssize_t kwd_pos_args = __pyx_nargs;\\n\",\n       \"        if (unlikely(<span class='pyx_c_api'>__Pyx_ParseOptionalKeywords</span>(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values + 0, kwd_pos_args, \\\"cy_sum\\\") &lt; 0)) <span class='error_goto'>__PYX_ERR(0, 1, __pyx_L3_error)</span>\\n\",\n       \"      }\\n\",\n       \"    } else if (unlikely(__pyx_nargs != 1)) {\\n\",\n       \"      goto __pyx_L5_argtuple_error;\\n\",\n       \"    } else {\\n\",\n       \"      values[0] = <span class='pyx_c_api'>__Pyx_Arg_FASTCALL</span>(__pyx_args, 0);\\n\",\n       \"    }\\n\",\n       \"    __pyx_v_data = values[0];\\n\",\n       \"  }\\n\",\n       \"  goto __pyx_L6_skip;\\n\",\n       \"  __pyx_L5_argtuple_error:;\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_RaiseArgtupleInvalid</span>(\\\"cy_sum\\\", 1, 1, 1, __pyx_nargs); <span class='error_goto'>__PYX_ERR(0, 1, __pyx_L3_error)</span>\\n\",\n       \"  __pyx_L6_skip:;\\n\",\n       \"  goto __pyx_L4_argument_unpacking_done;\\n\",\n       \"  __pyx_L3_error:;\\n\",\n       \"  {\\n\",\n       \"    Py_ssize_t __pyx_temp;\\n\",\n       \"    for (__pyx_temp=0; __pyx_temp &lt; (Py_ssize_t)(sizeof(values)/sizeof(values[0])); ++__pyx_temp) {\\n\",\n       \"      <span class='pyx_c_api'>__Pyx_Arg_XDECREF_FASTCALL</span>(values[__pyx_temp]);\\n\",\n       \"    }\\n\",\n       \"  }\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_AddTraceback</span>(\\\"_cython_magic_3fb89a41dd02054b2ba14111758c0b9f8953837c.cy_sum\\\", __pyx_clineno, __pyx_lineno, __pyx_filename);\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return NULL;\\n\",\n       \"  __pyx_L4_argument_unpacking_done:;\\n\",\n       \"  __pyx_r = __pyx_pf_54_cython_magic_3fb89a41dd02054b2ba14111758c0b9f8953837c_cy_sum(__pyx_self, __pyx_v_data);\\n\",\n       \"  int __pyx_lineno = 0;\\n\",\n       \"  const char *__pyx_filename = NULL;\\n\",\n       \"  int __pyx_clineno = 0;\\n\",\n       \"\\n\",\n       \"  /* function exit code */\\n\",\n       \"  {\\n\",\n       \"    Py_ssize_t __pyx_temp;\\n\",\n       \"    for (__pyx_temp=0; __pyx_temp &lt; (Py_ssize_t)(sizeof(values)/sizeof(values[0])); ++__pyx_temp) {\\n\",\n       \"      <span class='pyx_c_api'>__Pyx_Arg_XDECREF_FASTCALL</span>(values[__pyx_temp]);\\n\",\n       \"    }\\n\",\n       \"  }\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return __pyx_r;\\n\",\n       \"}\\n\",\n       \"\\n\",\n       \"static PyObject *__pyx_pf_54_cython_magic_3fb89a41dd02054b2ba14111758c0b9f8953837c_cy_sum(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_data) {\\n\",\n       \"  PyObject *__pyx_v_s = NULL;\\n\",\n       \"  PyObject *__pyx_v_d = NULL;\\n\",\n       \"  PyObject *__pyx_r = NULL;\\n\",\n       \"/* … */\\n\",\n       \"  /* function exit code */\\n\",\n       \"  __pyx_L1_error:;\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_1);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_4);\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_AddTraceback</span>(\\\"_cython_magic_3fb89a41dd02054b2ba14111758c0b9f8953837c.cy_sum\\\", __pyx_clineno, __pyx_lineno, __pyx_filename);\\n\",\n       \"  __pyx_r = NULL;\\n\",\n       \"  __pyx_L0:;\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_v_s);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_v_d);\\n\",\n       \"  <span class='refnanny'>__Pyx_XGIVEREF</span>(__pyx_r);\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return __pyx_r;\\n\",\n       \"}\\n\",\n       \"/* … */\\n\",\n       \"  __pyx_tuple_ = <span class='py_c_api'>PyTuple_Pack</span>(3, __pyx_n_s_data, __pyx_n_s_s, __pyx_n_s_d);<span class='error_goto'> if (unlikely(!__pyx_tuple_)) __PYX_ERR(0, 1, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_tuple_);\\n\",\n       \"  <span class='refnanny'>__Pyx_GIVEREF</span>(__pyx_tuple_);\\n\",\n       \"/* … */\\n\",\n       \"  __pyx_t_2 = <span class='pyx_c_api'>__Pyx_CyFunction_New</span>(&amp;__pyx_mdef_54_cython_magic_3fb89a41dd02054b2ba14111758c0b9f8953837c_1cy_sum, 0, __pyx_n_s_cy_sum, NULL, __pyx_n_s_cython_magic_3fb89a41dd02054b2b, __pyx_d, ((PyObject *)__pyx_codeobj__2));<span class='error_goto'> if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_2);\\n\",\n       \"  if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_d, __pyx_n_s_cy_sum, __pyx_t_2) &lt; 0) <span class='error_goto'>__PYX_ERR(0, 1, __pyx_L1_error)</span>\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_2); __pyx_t_2 = 0;\\n\",\n       \"  __pyx_t_2 = <span class='pyx_c_api'>__Pyx_PyDict_NewPresized</span>(0);<span class='error_goto'> if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_2);\\n\",\n       \"  if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_d, __pyx_n_s_test, __pyx_t_2) &lt; 0) <span class='error_goto'>__PYX_ERR(0, 1, __pyx_L1_error)</span>\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_2); __pyx_t_2 = 0;\\n\",\n       \"</pre><pre class=\\\"cython line score-1\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">2</span>:     <span class=\\\"n\\\">s</span> <span class=\\\"o\\\">=</span> <span class=\\\"mf\\\">0.0</span></pre>\\n\",\n       \"<pre class='cython code score-1 '>  <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_float_0_0);\\n\",\n       \"  __pyx_v_s = __pyx_float_0_0;\\n\",\n       \"</pre><pre class=\\\"cython line score-49\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">3</span>:     <span class=\\\"k\\\">for</span> <span class=\\\"n\\\">d</span> <span class=\\\"ow\\\">in</span> <span class=\\\"n\\\">data</span><span class=\\\"p\\\">:</span></pre>\\n\",\n       \"<pre class='cython code score-49 '>  if (likely(<span class='py_c_api'>PyList_CheckExact</span>(__pyx_v_data)) || <span class='py_c_api'>PyTuple_CheckExact</span>(__pyx_v_data)) {\\n\",\n       \"    __pyx_t_1 = __pyx_v_data; <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_1);\\n\",\n       \"    __pyx_t_2 = 0;\\n\",\n       \"    __pyx_t_3 = NULL;\\n\",\n       \"  } else {\\n\",\n       \"    __pyx_t_2 = -1; __pyx_t_1 = <span class='py_c_api'>PyObject_GetIter</span>(__pyx_v_data);<span class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 3, __pyx_L1_error)</span>\\n\",\n       \"    <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_1);\\n\",\n       \"    __pyx_t_3 = <span class='pyx_c_api'>__Pyx_PyObject_GetIterNextFunc</span>(__pyx_t_1);<span class='error_goto'> if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 3, __pyx_L1_error)</span>\\n\",\n       \"  }\\n\",\n       \"  for (;;) {\\n\",\n       \"    if (likely(!__pyx_t_3)) {\\n\",\n       \"      if (likely(<span class='py_c_api'>PyList_CheckExact</span>(__pyx_t_1))) {\\n\",\n       \"        {\\n\",\n       \"          Py_ssize_t __pyx_temp = <span class='pyx_c_api'>__Pyx_PyList_GET_SIZE</span>(__pyx_t_1);\\n\",\n       \"          #if !CYTHON_ASSUME_SAFE_MACROS\\n\",\n       \"          if (unlikely((__pyx_temp &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 3, __pyx_L1_error)</span>\\n\",\n       \"          #endif\\n\",\n       \"          if (__pyx_t_2 &gt;= __pyx_temp) break;\\n\",\n       \"        }\\n\",\n       \"        #if CYTHON_ASSUME_SAFE_MACROS &amp;&amp; !CYTHON_AVOID_BORROWED_REFS\\n\",\n       \"        __pyx_t_4 = <span class='py_macro_api'>PyList_GET_ITEM</span>(__pyx_t_1, __pyx_t_2); <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_4); __pyx_t_2++; if (unlikely((0 &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 3, __pyx_L1_error)</span>\\n\",\n       \"        #else\\n\",\n       \"        __pyx_t_4 = <span class='pyx_c_api'>__Pyx_PySequence_ITEM</span>(__pyx_t_1, __pyx_t_2); __pyx_t_2++;<span class='error_goto'> if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 3, __pyx_L1_error)</span>\\n\",\n       \"        <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_4);\\n\",\n       \"        #endif\\n\",\n       \"      } else {\\n\",\n       \"        {\\n\",\n       \"          Py_ssize_t __pyx_temp = <span class='pyx_c_api'>__Pyx_PyTuple_GET_SIZE</span>(__pyx_t_1);\\n\",\n       \"          #if !CYTHON_ASSUME_SAFE_MACROS\\n\",\n       \"          if (unlikely((__pyx_temp &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 3, __pyx_L1_error)</span>\\n\",\n       \"          #endif\\n\",\n       \"          if (__pyx_t_2 &gt;= __pyx_temp) break;\\n\",\n       \"        }\\n\",\n       \"        #if CYTHON_ASSUME_SAFE_MACROS &amp;&amp; !CYTHON_AVOID_BORROWED_REFS\\n\",\n       \"        __pyx_t_4 = <span class='py_macro_api'>PyTuple_GET_ITEM</span>(__pyx_t_1, __pyx_t_2); <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_4); __pyx_t_2++; if (unlikely((0 &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 3, __pyx_L1_error)</span>\\n\",\n       \"        #else\\n\",\n       \"        __pyx_t_4 = <span class='pyx_c_api'>__Pyx_PySequence_ITEM</span>(__pyx_t_1, __pyx_t_2); __pyx_t_2++;<span class='error_goto'> if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 3, __pyx_L1_error)</span>\\n\",\n       \"        <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_4);\\n\",\n       \"        #endif\\n\",\n       \"      }\\n\",\n       \"    } else {\\n\",\n       \"      __pyx_t_4 = __pyx_t_3(__pyx_t_1);\\n\",\n       \"      if (unlikely(!__pyx_t_4)) {\\n\",\n       \"        PyObject* exc_type = <span class='py_c_api'>PyErr_Occurred</span>();\\n\",\n       \"        if (exc_type) {\\n\",\n       \"          if (likely(<span class='pyx_c_api'>__Pyx_PyErr_GivenExceptionMatches</span>(exc_type, PyExc_StopIteration))) <span class='py_c_api'>PyErr_Clear</span>();\\n\",\n       \"          else <span class='error_goto'>__PYX_ERR(0, 3, __pyx_L1_error)</span>\\n\",\n       \"        }\\n\",\n       \"        break;\\n\",\n       \"      }\\n\",\n       \"      <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_4);\\n\",\n       \"    }\\n\",\n       \"    <span class='pyx_macro_api'>__Pyx_XDECREF_SET</span>(__pyx_v_d, __pyx_t_4);\\n\",\n       \"    __pyx_t_4 = 0;\\n\",\n       \"/* … */\\n\",\n       \"  }\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_1); __pyx_t_1 = 0;\\n\",\n       \"</pre><pre class=\\\"cython line score-6\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">4</span>:         <span class=\\\"n\\\">s</span> <span class=\\\"o\\\">+=</span> <span class=\\\"n\\\">d</span></pre>\\n\",\n       \"<pre class='cython code score-6 '>    __pyx_t_4 = <span class='py_c_api'>PyNumber_InPlaceAdd</span>(__pyx_v_s, __pyx_v_d);<span class='error_goto'> if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 4, __pyx_L1_error)</span>\\n\",\n       \"    <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_4);\\n\",\n       \"    <span class='pyx_macro_api'>__Pyx_DECREF_SET</span>(__pyx_v_s, __pyx_t_4);\\n\",\n       \"    __pyx_t_4 = 0;\\n\",\n       \"</pre><pre class=\\\"cython line score-2\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">5</span>:     <span class=\\\"k\\\">return</span> <span class=\\\"n\\\">s</span></pre>\\n\",\n       \"<pre class='cython code score-2 '>  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_r);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_v_s);\\n\",\n       \"  __pyx_r = __pyx_v_s;\\n\",\n       \"  goto __pyx_L0;\\n\",\n       \"</pre></div></body></html>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"execution_count\": 64,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%%cython -a\\n\",\n    \"def cy_sum(data):\\n\",\n    \"    s = 0.0\\n\",\n    \"    for d in data:\\n\",\n    \"        s += d\\n\",\n    \"    return s\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 65,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"2.57 ms ± 56.3 μs per loop (mean ± std. dev. of 7 runs, 100 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit cy_sum(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 66,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"2.96 ms ± 107 μs per loop (mean ± std. dev. of 7 runs, 100 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit py_sum(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 67,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"assert np.allclose(np.sum(data), cy_sum(data))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 68,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Content of stderr:\\n\",\n      \"In file included from /opt/conda/envs/npbook_py310/lib/python3.10/site-packages/numpy/core/include/numpy/ndarraytypes.h:1929,\\n\",\n      \"                 from /opt/conda/envs/npbook_py310/lib/python3.10/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\\n\",\n      \"                 from /opt/conda/envs/npbook_py310/lib/python3.10/site-packages/numpy/core/include/numpy/arrayobject.h:5,\\n\",\n      \"                 from /home/rob/.cache/ipython/cython/_cython_magic_16d506d9dddc3a141b0f412e0228a611fa6c09f1.c:1250:\\n\",\n      \"/opt/conda/envs/npbook_py310/lib/python3.10/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \\\"Using deprecated NumPy API, disable it with \\\" \\\"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\\\" [-Wcpp]\\n\",\n      \"   17 | #warning \\\"Using deprecated NumPy API, disable it with \\\" \\\\\\n\",\n      \"      |  ^~~~~~~\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<!DOCTYPE html>\\n\",\n       \"<!-- Generated by Cython 3.0.11 -->\\n\",\n       \"<html>\\n\",\n       \"<head>\\n\",\n       \"    <meta http-equiv=\\\"Content-Type\\\" content=\\\"text/html; charset=utf-8\\\" />\\n\",\n       \"    <title>Cython: _cython_magic_16d506d9dddc3a141b0f412e0228a611fa6c09f1.pyx</title>\\n\",\n       \"    <style type=\\\"text/css\\\">\\n\",\n       \"    \\n\",\n       \"body.cython { font-family: courier; font-size: 12; }\\n\",\n       \"\\n\",\n       \".cython.tag  {  }\\n\",\n       \".cython.line { color: #000000; margin: 0em }\\n\",\n       \".cython.code { font-size: 9; color: #444444; display: none; margin: 0px 0px 0px 8px; border-left: 8px none; }\\n\",\n       \"\\n\",\n       \".cython.line .run { background-color: #B0FFB0; }\\n\",\n       \".cython.line .mis { background-color: #FFB0B0; }\\n\",\n       \".cython.code.run  { border-left: 8px solid #B0FFB0; }\\n\",\n       \".cython.code.mis  { border-left: 8px solid #FFB0B0; }\\n\",\n       \"\\n\",\n       \".cython.code .py_c_api  { color: red; }\\n\",\n       \".cython.code .py_macro_api  { color: #FF7000; }\\n\",\n       \".cython.code .pyx_c_api  { color: #FF3000; }\\n\",\n       \".cython.code .pyx_macro_api  { color: #FF7000; }\\n\",\n       \".cython.code .refnanny  { color: #FFA000; }\\n\",\n       \".cython.code .trace  { color: #FFA000; }\\n\",\n       \".cython.code .error_goto  { color: #FFA000; }\\n\",\n       \"\\n\",\n       \".cython.code .coerce  { color: #008000; border: 1px dotted #008000 }\\n\",\n       \".cython.code .py_attr { color: #FF0000; font-weight: bold; }\\n\",\n       \".cython.code .c_attr  { color: #0000FF; }\\n\",\n       \".cython.code .py_call { color: #FF0000; font-weight: bold; }\\n\",\n       \".cython.code .c_call  { color: #0000FF; }\\n\",\n       \"\\n\",\n       \".cython.score-0 {background-color: #FFFFff;}\\n\",\n       \".cython.score-1 {background-color: #FFFFe7;}\\n\",\n       \".cython.score-2 {background-color: #FFFFd4;}\\n\",\n       \".cython.score-3 {background-color: #FFFFc4;}\\n\",\n       \".cython.score-4 {background-color: #FFFFb6;}\\n\",\n       \".cython.score-5 {background-color: #FFFFaa;}\\n\",\n       \".cython.score-6 {background-color: #FFFF9f;}\\n\",\n       \".cython.score-7 {background-color: #FFFF96;}\\n\",\n       \".cython.score-8 {background-color: #FFFF8d;}\\n\",\n       \".cython.score-9 {background-color: #FFFF86;}\\n\",\n       \".cython.score-10 {background-color: #FFFF7f;}\\n\",\n       \".cython.score-11 {background-color: #FFFF79;}\\n\",\n       \".cython.score-12 {background-color: #FFFF73;}\\n\",\n       \".cython.score-13 {background-color: #FFFF6e;}\\n\",\n       \".cython.score-14 {background-color: #FFFF6a;}\\n\",\n       \".cython.score-15 {background-color: #FFFF66;}\\n\",\n       \".cython.score-16 {background-color: #FFFF62;}\\n\",\n       \".cython.score-17 {background-color: #FFFF5e;}\\n\",\n       \".cython.score-18 {background-color: #FFFF5b;}\\n\",\n       \".cython.score-19 {background-color: #FFFF57;}\\n\",\n       \".cython.score-20 {background-color: #FFFF55;}\\n\",\n       \".cython.score-21 {background-color: #FFFF52;}\\n\",\n       \".cython.score-22 {background-color: #FFFF4f;}\\n\",\n       \".cython.score-23 {background-color: #FFFF4d;}\\n\",\n       \".cython.score-24 {background-color: #FFFF4b;}\\n\",\n       \".cython.score-25 {background-color: #FFFF48;}\\n\",\n       \".cython.score-26 {background-color: #FFFF46;}\\n\",\n       \".cython.score-27 {background-color: #FFFF44;}\\n\",\n       \".cython.score-28 {background-color: #FFFF43;}\\n\",\n       \".cython.score-29 {background-color: #FFFF41;}\\n\",\n       \".cython.score-30 {background-color: #FFFF3f;}\\n\",\n       \".cython.score-31 {background-color: #FFFF3e;}\\n\",\n       \".cython.score-32 {background-color: #FFFF3c;}\\n\",\n       \".cython.score-33 {background-color: #FFFF3b;}\\n\",\n       \".cython.score-34 {background-color: #FFFF39;}\\n\",\n       \".cython.score-35 {background-color: #FFFF38;}\\n\",\n       \".cython.score-36 {background-color: #FFFF37;}\\n\",\n       \".cython.score-37 {background-color: #FFFF36;}\\n\",\n       \".cython.score-38 {background-color: #FFFF35;}\\n\",\n       \".cython.score-39 {background-color: #FFFF34;}\\n\",\n       \".cython.score-40 {background-color: #FFFF33;}\\n\",\n       \".cython.score-41 {background-color: #FFFF32;}\\n\",\n       \".cython.score-42 {background-color: #FFFF31;}\\n\",\n       \".cython.score-43 {background-color: #FFFF30;}\\n\",\n       \".cython.score-44 {background-color: #FFFF2f;}\\n\",\n       \".cython.score-45 {background-color: #FFFF2e;}\\n\",\n       \".cython.score-46 {background-color: #FFFF2d;}\\n\",\n       \".cython.score-47 {background-color: #FFFF2c;}\\n\",\n       \".cython.score-48 {background-color: #FFFF2b;}\\n\",\n       \".cython.score-49 {background-color: #FFFF2b;}\\n\",\n       \".cython.score-50 {background-color: #FFFF2a;}\\n\",\n       \".cython.score-51 {background-color: #FFFF29;}\\n\",\n       \".cython.score-52 {background-color: #FFFF29;}\\n\",\n       \".cython.score-53 {background-color: #FFFF28;}\\n\",\n       \".cython.score-54 {background-color: #FFFF27;}\\n\",\n       \".cython.score-55 {background-color: #FFFF27;}\\n\",\n       \".cython.score-56 {background-color: #FFFF26;}\\n\",\n       \".cython.score-57 {background-color: #FFFF26;}\\n\",\n       \".cython.score-58 {background-color: #FFFF25;}\\n\",\n       \".cython.score-59 {background-color: #FFFF24;}\\n\",\n       \".cython.score-60 {background-color: #FFFF24;}\\n\",\n       \".cython.score-61 {background-color: #FFFF23;}\\n\",\n       \".cython.score-62 {background-color: #FFFF23;}\\n\",\n       \".cython.score-63 {background-color: #FFFF22;}\\n\",\n       \".cython.score-64 {background-color: #FFFF22;}\\n\",\n       \".cython.score-65 {background-color: #FFFF22;}\\n\",\n       \".cython.score-66 {background-color: #FFFF21;}\\n\",\n       \".cython.score-67 {background-color: #FFFF21;}\\n\",\n       \".cython.score-68 {background-color: #FFFF20;}\\n\",\n       \".cython.score-69 {background-color: #FFFF20;}\\n\",\n       \".cython.score-70 {background-color: #FFFF1f;}\\n\",\n       \".cython.score-71 {background-color: #FFFF1f;}\\n\",\n       \".cython.score-72 {background-color: #FFFF1f;}\\n\",\n       \".cython.score-73 {background-color: #FFFF1e;}\\n\",\n       \".cython.score-74 {background-color: #FFFF1e;}\\n\",\n       \".cython.score-75 {background-color: #FFFF1e;}\\n\",\n       \".cython.score-76 {background-color: #FFFF1d;}\\n\",\n       \".cython.score-77 {background-color: #FFFF1d;}\\n\",\n       \".cython.score-78 {background-color: #FFFF1c;}\\n\",\n       \".cython.score-79 {background-color: #FFFF1c;}\\n\",\n       \".cython.score-80 {background-color: #FFFF1c;}\\n\",\n       \".cython.score-81 {background-color: #FFFF1c;}\\n\",\n       \".cython.score-82 {background-color: #FFFF1b;}\\n\",\n       \".cython.score-83 {background-color: #FFFF1b;}\\n\",\n       \".cython.score-84 {background-color: #FFFF1b;}\\n\",\n       \".cython.score-85 {background-color: #FFFF1a;}\\n\",\n       \".cython.score-86 {background-color: #FFFF1a;}\\n\",\n       \".cython.score-87 {background-color: #FFFF1a;}\\n\",\n       \".cython.score-88 {background-color: #FFFF1a;}\\n\",\n       \".cython.score-89 {background-color: #FFFF19;}\\n\",\n       \".cython.score-90 {background-color: #FFFF19;}\\n\",\n       \".cython.score-91 {background-color: #FFFF19;}\\n\",\n       \".cython.score-92 {background-color: #FFFF19;}\\n\",\n       \".cython.score-93 {background-color: #FFFF18;}\\n\",\n       \".cython.score-94 {background-color: #FFFF18;}\\n\",\n       \".cython.score-95 {background-color: #FFFF18;}\\n\",\n       \".cython.score-96 {background-color: #FFFF18;}\\n\",\n       \".cython.score-97 {background-color: #FFFF17;}\\n\",\n       \".cython.score-98 {background-color: #FFFF17;}\\n\",\n       \".cython.score-99 {background-color: #FFFF17;}\\n\",\n       \".cython.score-100 {background-color: #FFFF17;}\\n\",\n       \".cython.score-101 {background-color: #FFFF16;}\\n\",\n       \".cython.score-102 {background-color: #FFFF16;}\\n\",\n       \".cython.score-103 {background-color: #FFFF16;}\\n\",\n       \".cython.score-104 {background-color: #FFFF16;}\\n\",\n       \".cython.score-105 {background-color: #FFFF16;}\\n\",\n       \".cython.score-106 {background-color: #FFFF15;}\\n\",\n       \".cython.score-107 {background-color: #FFFF15;}\\n\",\n       \".cython.score-108 {background-color: #FFFF15;}\\n\",\n       \".cython.score-109 {background-color: #FFFF15;}\\n\",\n       \".cython.score-110 {background-color: #FFFF15;}\\n\",\n       \".cython.score-111 {background-color: #FFFF15;}\\n\",\n       \".cython.score-112 {background-color: #FFFF14;}\\n\",\n       \".cython.score-113 {background-color: #FFFF14;}\\n\",\n       \".cython.score-114 {background-color: #FFFF14;}\\n\",\n       \".cython.score-115 {background-color: #FFFF14;}\\n\",\n       \".cython.score-116 {background-color: #FFFF14;}\\n\",\n       \".cython.score-117 {background-color: #FFFF14;}\\n\",\n       \".cython.score-118 {background-color: #FFFF13;}\\n\",\n       \".cython.score-119 {background-color: #FFFF13;}\\n\",\n       \".cython.score-120 {background-color: #FFFF13;}\\n\",\n       \".cython.score-121 {background-color: #FFFF13;}\\n\",\n       \".cython.score-122 {background-color: #FFFF13;}\\n\",\n       \".cython.score-123 {background-color: #FFFF13;}\\n\",\n       \".cython.score-124 {background-color: #FFFF13;}\\n\",\n       \".cython.score-125 {background-color: #FFFF12;}\\n\",\n       \".cython.score-126 {background-color: #FFFF12;}\\n\",\n       \".cython.score-127 {background-color: #FFFF12;}\\n\",\n       \".cython.score-128 {background-color: #FFFF12;}\\n\",\n       \".cython.score-129 {background-color: #FFFF12;}\\n\",\n       \".cython.score-130 {background-color: #FFFF12;}\\n\",\n       \".cython.score-131 {background-color: #FFFF12;}\\n\",\n       \".cython.score-132 {background-color: #FFFF11;}\\n\",\n       \".cython.score-133 {background-color: #FFFF11;}\\n\",\n       \".cython.score-134 {background-color: #FFFF11;}\\n\",\n       \".cython.score-135 {background-color: #FFFF11;}\\n\",\n       \".cython.score-136 {background-color: #FFFF11;}\\n\",\n       \".cython.score-137 {background-color: #FFFF11;}\\n\",\n       \".cython.score-138 {background-color: #FFFF11;}\\n\",\n       \".cython.score-139 {background-color: #FFFF11;}\\n\",\n       \".cython.score-140 {background-color: #FFFF11;}\\n\",\n       \".cython.score-141 {background-color: #FFFF10;}\\n\",\n       \".cython.score-142 {background-color: #FFFF10;}\\n\",\n       \".cython.score-143 {background-color: #FFFF10;}\\n\",\n       \".cython.score-144 {background-color: #FFFF10;}\\n\",\n       \".cython.score-145 {background-color: #FFFF10;}\\n\",\n       \".cython.score-146 {background-color: #FFFF10;}\\n\",\n       \".cython.score-147 {background-color: #FFFF10;}\\n\",\n       \".cython.score-148 {background-color: #FFFF10;}\\n\",\n       \".cython.score-149 {background-color: #FFFF10;}\\n\",\n       \".cython.score-150 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-151 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-152 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-153 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-154 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-155 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-156 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-157 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-158 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-159 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-160 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-161 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-162 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-163 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-164 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-165 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-166 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-167 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-168 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-169 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-170 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-171 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-172 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-173 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-174 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-175 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-176 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-177 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-178 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-179 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-180 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-181 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-182 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-183 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-184 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-185 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-186 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-187 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-188 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-189 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-190 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-191 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-192 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-193 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-194 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-195 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-196 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-197 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-198 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-199 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-200 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-201 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-202 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-203 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-204 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-205 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-206 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-207 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-208 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-209 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-210 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-211 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-212 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-213 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-214 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-215 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-216 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-217 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-218 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-219 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-220 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-221 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-222 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-223 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-224 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-225 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-226 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-227 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-228 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-229 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-230 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-231 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-232 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-233 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-234 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-235 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-236 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-237 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-238 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-239 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-240 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-241 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-242 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-243 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-244 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-245 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-246 {background-color: #FFFF09;}\\n\",\n       \".cython.score-247 {background-color: #FFFF09;}\\n\",\n       \".cython.score-248 {background-color: #FFFF09;}\\n\",\n       \".cython.score-249 {background-color: #FFFF09;}\\n\",\n       \".cython.score-250 {background-color: #FFFF09;}\\n\",\n       \".cython.score-251 {background-color: #FFFF09;}\\n\",\n       \".cython.score-252 {background-color: #FFFF09;}\\n\",\n       \".cython.score-253 {background-color: #FFFF09;}\\n\",\n       \".cython.score-254 {background-color: #FFFF09;}\\n\",\n       \".cython .hll { background-color: #ffffcc }\\n\",\n       \".cython  { background: #f8f8f8; }\\n\",\n       \".cython .c { color: #408080; font-style: italic } /* Comment */\\n\",\n       \".cython .err { border: 1px solid #FF0000 } /* Error */\\n\",\n       \".cython .k { color: #008000; font-weight: bold } /* Keyword */\\n\",\n       \".cython .o { color: #666666 } /* Operator */\\n\",\n       \".cython .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n\",\n       \".cython .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n\",\n       \".cython .cp { color: #BC7A00 } /* Comment.Preproc */\\n\",\n       \".cython .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n\",\n       \".cython .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n\",\n       \".cython .cs { color: #408080; font-style: italic } /* Comment.Special */\\n\",\n       \".cython .gd { color: #A00000 } /* Generic.Deleted */\\n\",\n       \".cython .ge { font-style: italic } /* Generic.Emph */\\n\",\n       \".cython .gr { color: #FF0000 } /* Generic.Error */\\n\",\n       \".cython .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n\",\n       \".cython .gi { color: #00A000 } /* Generic.Inserted */\\n\",\n       \".cython .go { color: #888888 } /* Generic.Output */\\n\",\n       \".cython .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n\",\n       \".cython .gs { font-weight: bold } /* Generic.Strong */\\n\",\n       \".cython .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n\",\n       \".cython .gt { color: #0044DD } /* Generic.Traceback */\\n\",\n       \".cython .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n\",\n       \".cython .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n\",\n       \".cython .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n\",\n       \".cython .kp { color: #008000 } /* Keyword.Pseudo */\\n\",\n       \".cython .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n\",\n       \".cython .kt { color: #B00040 } /* Keyword.Type */\\n\",\n       \".cython .m { color: #666666 } /* Literal.Number */\\n\",\n       \".cython .s { color: #BA2121 } /* Literal.String */\\n\",\n       \".cython .na { color: #7D9029 } /* Name.Attribute */\\n\",\n       \".cython .nb { color: #008000 } /* Name.Builtin */\\n\",\n       \".cython .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n\",\n       \".cython .no { color: #880000 } /* Name.Constant */\\n\",\n       \".cython .nd { color: #AA22FF } /* Name.Decorator */\\n\",\n       \".cython .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n\",\n       \".cython .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n\",\n       \".cython .nf { color: #0000FF } /* Name.Function */\\n\",\n       \".cython .nl { color: #A0A000 } /* Name.Label */\\n\",\n       \".cython .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n\",\n       \".cython .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n\",\n       \".cython .nv { color: #19177C } /* Name.Variable */\\n\",\n       \".cython .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n\",\n       \".cython .w { color: #bbbbbb } /* Text.Whitespace */\\n\",\n       \".cython .mb { color: #666666 } /* Literal.Number.Bin */\\n\",\n       \".cython .mf { color: #666666 } /* Literal.Number.Float */\\n\",\n       \".cython .mh { color: #666666 } /* Literal.Number.Hex */\\n\",\n       \".cython .mi { color: #666666 } /* Literal.Number.Integer */\\n\",\n       \".cython .mo { color: #666666 } /* Literal.Number.Oct */\\n\",\n       \".cython .sa { color: #BA2121 } /* Literal.String.Affix */\\n\",\n       \".cython .sb { color: #BA2121 } /* Literal.String.Backtick */\\n\",\n       \".cython .sc { color: #BA2121 } /* Literal.String.Char */\\n\",\n       \".cython .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n\",\n       \".cython .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n\",\n       \".cython .s2 { color: #BA2121 } /* Literal.String.Double */\\n\",\n       \".cython .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n\",\n       \".cython .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n\",\n       \".cython .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n\",\n       \".cython .sx { color: #008000 } /* Literal.String.Other */\\n\",\n       \".cython .sr { color: #BB6688 } /* Literal.String.Regex */\\n\",\n       \".cython .s1 { color: #BA2121 } /* Literal.String.Single */\\n\",\n       \".cython .ss { color: #19177C } /* Literal.String.Symbol */\\n\",\n       \".cython .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n\",\n       \".cython .fm { color: #0000FF } /* Name.Function.Magic */\\n\",\n       \".cython .vc { color: #19177C } /* Name.Variable.Class */\\n\",\n       \".cython .vg { color: #19177C } /* Name.Variable.Global */\\n\",\n       \".cython .vi { color: #19177C } /* Name.Variable.Instance */\\n\",\n       \".cython .vm { color: #19177C } /* Name.Variable.Magic */\\n\",\n       \".cython .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\",\n       \"    </style>\\n\",\n       \"</head>\\n\",\n       \"<body class=\\\"cython\\\">\\n\",\n       \"<p><span style=\\\"border-bottom: solid 1px grey;\\\">Generated by Cython 3.0.11</span></p>\\n\",\n       \"<p>\\n\",\n       \"    <span style=\\\"background-color: #FFFF00\\\">Yellow lines</span> hint at Python interaction.<br />\\n\",\n       \"    Click on a line that starts with a \\\"<code>+</code>\\\" to see the C code that Cython generated for it.\\n\",\n       \"</p>\\n\",\n       \"<div class=\\\"cython\\\"><pre class=\\\"cython line score-8\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">01</span>: <span class=\\\"k\\\">cimport</span> <span class=\\\"nn\\\">numpy</span></pre>\\n\",\n       \"<pre class='cython code score-8 '>  __pyx_t_2 = <span class='pyx_c_api'>__Pyx_PyDict_NewPresized</span>(0);<span class='error_goto'> if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_2);\\n\",\n       \"  if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_d, __pyx_n_s_test, __pyx_t_2) &lt; 0) <span class='error_goto'>__PYX_ERR(0, 1, __pyx_L1_error)</span>\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_2); __pyx_t_2 = 0;\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">02</span>: <span class=\\\"k\\\">cimport</span> <span class=\\\"nn\\\">cython</span></pre>\\n\",\n       \"<pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">03</span>: </pre>\\n\",\n       \"<pre class=\\\"cython line score-61\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">04</span>: <span class=\\\"nd\\\">@cython</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">boundscheck</span><span class=\\\"p\\\">(</span><span class=\\\"bp\\\">False</span><span class=\\\"p\\\">)</span></pre>\\n\",\n       \"<pre class='cython code score-61 '>/* Python wrapper */\\n\",\n       \"static PyObject *__pyx_pw_54_cython_magic_16d506d9dddc3a141b0f412e0228a611fa6c09f1_1cy_sum(PyObject *__pyx_self, \\n\",\n       \"#if CYTHON_METH_FASTCALL\\n\",\n       \"PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds\\n\",\n       \"#else\\n\",\n       \"PyObject *__pyx_args, PyObject *__pyx_kwds\\n\",\n       \"#endif\\n\",\n       \"); /*proto*/\\n\",\n       \"static PyMethodDef __pyx_mdef_54_cython_magic_16d506d9dddc3a141b0f412e0228a611fa6c09f1_1cy_sum = {\\\"cy_sum\\\", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_54_cython_magic_16d506d9dddc3a141b0f412e0228a611fa6c09f1_1cy_sum, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0};\\n\",\n       \"static PyObject *__pyx_pw_54_cython_magic_16d506d9dddc3a141b0f412e0228a611fa6c09f1_1cy_sum(PyObject *__pyx_self, \\n\",\n       \"#if CYTHON_METH_FASTCALL\\n\",\n       \"PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds\\n\",\n       \"#else\\n\",\n       \"PyObject *__pyx_args, PyObject *__pyx_kwds\\n\",\n       \"#endif\\n\",\n       \") {\\n\",\n       \"  PyArrayObject *__pyx_v_data = 0;\\n\",\n       \"  #if !CYTHON_METH_FASTCALL\\n\",\n       \"  CYTHON_UNUSED Py_ssize_t __pyx_nargs;\\n\",\n       \"  #endif\\n\",\n       \"  CYTHON_UNUSED PyObject *const *__pyx_kwvalues;\\n\",\n       \"  PyObject *__pyx_r = 0;\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyDeclarations</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannySetupContext</span>(\\\"cy_sum (wrapper)\\\", 0);\\n\",\n       \"  #if !CYTHON_METH_FASTCALL\\n\",\n       \"  #if CYTHON_ASSUME_SAFE_MACROS\\n\",\n       \"  __pyx_nargs = <span class='py_macro_api'>PyTuple_GET_SIZE</span>(__pyx_args);\\n\",\n       \"  #else\\n\",\n       \"  __pyx_nargs = <span class='py_c_api'>PyTuple_Size</span>(__pyx_args); if (unlikely(__pyx_nargs &lt; 0)) return NULL;\\n\",\n       \"  #endif\\n\",\n       \"  #endif\\n\",\n       \"  __pyx_kwvalues = <span class='pyx_c_api'>__Pyx_KwValues_FASTCALL</span>(__pyx_args, __pyx_nargs);\\n\",\n       \"  {\\n\",\n       \"    PyObject **__pyx_pyargnames[] = {&amp;__pyx_n_s_data,0};\\n\",\n       \"  PyObject* values[1] = {0};\\n\",\n       \"    if (__pyx_kwds) {\\n\",\n       \"      Py_ssize_t kw_args;\\n\",\n       \"      switch (__pyx_nargs) {\\n\",\n       \"        case  1: values[0] = <span class='pyx_c_api'>__Pyx_Arg_FASTCALL</span>(__pyx_args, 0);\\n\",\n       \"        CYTHON_FALLTHROUGH;\\n\",\n       \"        case  0: break;\\n\",\n       \"        default: goto __pyx_L5_argtuple_error;\\n\",\n       \"      }\\n\",\n       \"      kw_args = <span class='pyx_c_api'>__Pyx_NumKwargs_FASTCALL</span>(__pyx_kwds);\\n\",\n       \"      switch (__pyx_nargs) {\\n\",\n       \"        case  0:\\n\",\n       \"        if (likely((values[0] = <span class='pyx_c_api'>__Pyx_GetKwValue_FASTCALL</span>(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_data)) != 0)) {\\n\",\n       \"          (void)<span class='pyx_c_api'>__Pyx_Arg_NewRef_FASTCALL</span>(values[0]);\\n\",\n       \"          kw_args--;\\n\",\n       \"        }\\n\",\n       \"        else if (unlikely(<span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 4, __pyx_L3_error)</span>\\n\",\n       \"        else goto __pyx_L5_argtuple_error;\\n\",\n       \"      }\\n\",\n       \"      if (unlikely(kw_args &gt; 0)) {\\n\",\n       \"        const Py_ssize_t kwd_pos_args = __pyx_nargs;\\n\",\n       \"        if (unlikely(<span class='pyx_c_api'>__Pyx_ParseOptionalKeywords</span>(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values + 0, kwd_pos_args, \\\"cy_sum\\\") &lt; 0)) <span class='error_goto'>__PYX_ERR(0, 4, __pyx_L3_error)</span>\\n\",\n       \"      }\\n\",\n       \"    } else if (unlikely(__pyx_nargs != 1)) {\\n\",\n       \"      goto __pyx_L5_argtuple_error;\\n\",\n       \"    } else {\\n\",\n       \"      values[0] = <span class='pyx_c_api'>__Pyx_Arg_FASTCALL</span>(__pyx_args, 0);\\n\",\n       \"    }\\n\",\n       \"    __pyx_v_data = ((PyArrayObject *)values[0]);\\n\",\n       \"  }\\n\",\n       \"  goto __pyx_L6_skip;\\n\",\n       \"  __pyx_L5_argtuple_error:;\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_RaiseArgtupleInvalid</span>(\\\"cy_sum\\\", 1, 1, 1, __pyx_nargs); <span class='error_goto'>__PYX_ERR(0, 4, __pyx_L3_error)</span>\\n\",\n       \"  __pyx_L6_skip:;\\n\",\n       \"  goto __pyx_L4_argument_unpacking_done;\\n\",\n       \"  __pyx_L3_error:;\\n\",\n       \"  {\\n\",\n       \"    Py_ssize_t __pyx_temp;\\n\",\n       \"    for (__pyx_temp=0; __pyx_temp &lt; (Py_ssize_t)(sizeof(values)/sizeof(values[0])); ++__pyx_temp) {\\n\",\n       \"      <span class='pyx_c_api'>__Pyx_Arg_XDECREF_FASTCALL</span>(values[__pyx_temp]);\\n\",\n       \"    }\\n\",\n       \"  }\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_AddTraceback</span>(\\\"_cython_magic_16d506d9dddc3a141b0f412e0228a611fa6c09f1.cy_sum\\\", __pyx_clineno, __pyx_lineno, __pyx_filename);\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return NULL;\\n\",\n       \"  __pyx_L4_argument_unpacking_done:;\\n\",\n       \"  if (unlikely(!<span class='pyx_c_api'>__Pyx_ArgTypeTest</span>(((PyObject *)__pyx_v_data), __pyx_ptype_5numpy_ndarray, 1, \\\"data\\\", 0))) <span class='error_goto'>__PYX_ERR(0, 6, __pyx_L1_error)</span>\\n\",\n       \"  __pyx_r = __pyx_pf_54_cython_magic_16d506d9dddc3a141b0f412e0228a611fa6c09f1_cy_sum(__pyx_self, __pyx_v_data);\\n\",\n       \"  int __pyx_lineno = 0;\\n\",\n       \"  const char *__pyx_filename = NULL;\\n\",\n       \"  int __pyx_clineno = 0;\\n\",\n       \"\\n\",\n       \"  /* function exit code */\\n\",\n       \"  goto __pyx_L0;\\n\",\n       \"  __pyx_L1_error:;\\n\",\n       \"  __pyx_r = NULL;\\n\",\n       \"  __pyx_L0:;\\n\",\n       \"  {\\n\",\n       \"    Py_ssize_t __pyx_temp;\\n\",\n       \"    for (__pyx_temp=0; __pyx_temp &lt; (Py_ssize_t)(sizeof(values)/sizeof(values[0])); ++__pyx_temp) {\\n\",\n       \"      <span class='pyx_c_api'>__Pyx_Arg_XDECREF_FASTCALL</span>(values[__pyx_temp]);\\n\",\n       \"    }\\n\",\n       \"  }\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return __pyx_r;\\n\",\n       \"}\\n\",\n       \"\\n\",\n       \"static PyObject *__pyx_pf_54_cython_magic_16d506d9dddc3a141b0f412e0228a611fa6c09f1_cy_sum(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_data) {\\n\",\n       \"  __pyx_t_5numpy_float64_t __pyx_v_s;\\n\",\n       \"  int __pyx_v_n;\\n\",\n       \"  int __pyx_v_N;\\n\",\n       \"  __Pyx_LocalBuf_ND __pyx_pybuffernd_data;\\n\",\n       \"  __Pyx_Buffer __pyx_pybuffer_data;\\n\",\n       \"  PyObject *__pyx_r = NULL;\\n\",\n       \"  __pyx_pybuffer_data.pybuffer.buf = NULL;\\n\",\n       \"  __pyx_pybuffer_data.refcount = 0;\\n\",\n       \"  __pyx_pybuffernd_data.data = NULL;\\n\",\n       \"  __pyx_pybuffernd_data.rcbuffer = &amp;__pyx_pybuffer_data;\\n\",\n       \"  {\\n\",\n       \"    __Pyx_BufFmt_StackElem __pyx_stack[1];\\n\",\n       \"    if (unlikely(<span class='pyx_c_api'>__Pyx_GetBufferAndValidate</span>(&amp;__pyx_pybuffernd_data.rcbuffer-&gt;pybuffer, (PyObject*)__pyx_v_data, &amp;__Pyx_TypeInfo_nn___pyx_t_5numpy_float64_t, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) <span class='error_goto'>__PYX_ERR(0, 4, __pyx_L1_error)</span>\\n\",\n       \"  }\\n\",\n       \"  __pyx_pybuffernd_data.diminfo[0].strides = __pyx_pybuffernd_data.rcbuffer-&gt;pybuffer.strides[0]; __pyx_pybuffernd_data.diminfo[0].shape = __pyx_pybuffernd_data.rcbuffer-&gt;pybuffer.shape[0];\\n\",\n       \"/* … */\\n\",\n       \"  /* function exit code */\\n\",\n       \"  __pyx_L1_error:;\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_6);\\n\",\n       \"  { PyObject *__pyx_type, *__pyx_value, *__pyx_tb;\\n\",\n       \"    __Pyx_PyThreadState_declare\\n\",\n       \"    __Pyx_PyThreadState_assign\\n\",\n       \"    <span class='pyx_c_api'>__Pyx_ErrFetch</span>(&amp;__pyx_type, &amp;__pyx_value, &amp;__pyx_tb);\\n\",\n       \"    <span class='pyx_c_api'>__Pyx_SafeReleaseBuffer</span>(&amp;__pyx_pybuffernd_data.rcbuffer-&gt;pybuffer);\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_ErrRestore</span>(__pyx_type, __pyx_value, __pyx_tb);}\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_AddTraceback</span>(\\\"_cython_magic_16d506d9dddc3a141b0f412e0228a611fa6c09f1.cy_sum\\\", __pyx_clineno, __pyx_lineno, __pyx_filename);\\n\",\n       \"  __pyx_r = NULL;\\n\",\n       \"  goto __pyx_L2;\\n\",\n       \"  __pyx_L0:;\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_SafeReleaseBuffer</span>(&amp;__pyx_pybuffernd_data.rcbuffer-&gt;pybuffer);\\n\",\n       \"  __pyx_L2:;\\n\",\n       \"  <span class='refnanny'>__Pyx_XGIVEREF</span>(__pyx_r);\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return __pyx_r;\\n\",\n       \"}\\n\",\n       \"/* … */\\n\",\n       \"  __pyx_tuple__3 = <span class='py_c_api'>PyTuple_Pack</span>(4, __pyx_n_s_data, __pyx_n_s_s, __pyx_n_s_n, __pyx_n_s_N);<span class='error_goto'> if (unlikely(!__pyx_tuple__3)) __PYX_ERR(0, 4, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_tuple__3);\\n\",\n       \"  <span class='refnanny'>__Pyx_GIVEREF</span>(__pyx_tuple__3);\\n\",\n       \"/* … */\\n\",\n       \"  __pyx_t_2 = <span class='pyx_c_api'>__Pyx_CyFunction_New</span>(&amp;__pyx_mdef_54_cython_magic_16d506d9dddc3a141b0f412e0228a611fa6c09f1_1cy_sum, 0, __pyx_n_s_cy_sum, NULL, __pyx_n_s_cython_magic_16d506d9dddc3a141b, __pyx_d, ((PyObject *)__pyx_codeobj__4));<span class='error_goto'> if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_2);\\n\",\n       \"  if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_d, __pyx_n_s_cy_sum, __pyx_t_2) &lt; 0) <span class='error_goto'>__PYX_ERR(0, 4, __pyx_L1_error)</span>\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_2); __pyx_t_2 = 0;\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">05</span>: <span class=\\\"nd\\\">@cython</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">wraparound</span><span class=\\\"p\\\">(</span><span class=\\\"bp\\\">False</span><span class=\\\"p\\\">)</span></pre>\\n\",\n       \"<pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">06</span>: <span class=\\\"k\\\">def</span> <span class=\\\"nf\\\">cy_sum</span><span class=\\\"p\\\">(</span><span class=\\\"n\\\">numpy</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">ndarray</span><span class=\\\"p\\\">[</span><span class=\\\"n\\\">numpy</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">float64_t</span><span class=\\\"p\\\">,</span> <span class=\\\"n\\\">ndim</span><span class=\\\"o\\\">=</span><span class=\\\"mf\\\">1</span><span class=\\\"p\\\">]</span> <span class=\\\"n\\\">data</span><span class=\\\"p\\\">):</span></pre>\\n\",\n       \"<pre class=\\\"cython line score-0\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">07</span>:     <span class=\\\"k\\\">cdef</span> <span class=\\\"kt\\\">numpy</span>.<span class=\\\"kt\\\">float64_t</span> <span class=\\\"nf\\\">s</span> <span class=\\\"o\\\">=</span> <span class=\\\"mf\\\">0.0</span></pre>\\n\",\n       \"<pre class='cython code score-0 '>  __pyx_v_s = 0.0;\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">08</span>:     <span class=\\\"c\\\">#cdef int n, N = data.shape[0]</span></pre>\\n\",\n       \"<pre class=\\\"cython line score-5\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">09</span>:     <span class=\\\"k\\\">cdef</span> <span class=\\\"kt\\\">int</span> <span class=\\\"nf\\\">n</span><span class=\\\"p\\\">,</span> <span class=\\\"nf\\\">N</span> <span class=\\\"o\\\">=</span> <span class=\\\"nb\\\">len</span><span class=\\\"p\\\">(</span><span class=\\\"n\\\">data</span><span class=\\\"p\\\">)</span></pre>\\n\",\n       \"<pre class='cython code score-5 '>  __pyx_t_1 = <span class='py_c_api'>PyObject_Length</span>(((PyObject *)__pyx_v_data));<span class='error_goto'> if (unlikely(__pyx_t_1 == ((Py_ssize_t)-1))) __PYX_ERR(0, 9, __pyx_L1_error)</span>\\n\",\n       \"  __pyx_v_N = __pyx_t_1;\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">10</span>:     <span class=\\\"k\\\">for</span> <span class=\\\"n\\\">n</span> <span class=\\\"ow\\\">in</span> <span class=\\\"nb\\\">range</span><span class=\\\"p\\\">(</span><span class=\\\"n\\\">N</span><span class=\\\"p\\\">):</span></pre>\\n\",\n       \"<pre class='cython code score-0 '>  __pyx_t_2 = __pyx_v_N;\\n\",\n       \"  __pyx_t_3 = __pyx_t_2;\\n\",\n       \"  for (__pyx_t_4 = 0; __pyx_t_4 &lt; __pyx_t_3; __pyx_t_4+=1) {\\n\",\n       \"    __pyx_v_n = __pyx_t_4;\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">11</span>:         <span class=\\\"n\\\">s</span> <span class=\\\"o\\\">+=</span> <span class=\\\"n\\\">data</span><span class=\\\"p\\\">[</span><span class=\\\"n\\\">n</span><span class=\\\"p\\\">]</span></pre>\\n\",\n       \"<pre class='cython code score-0 '>    __pyx_t_5 = __pyx_v_n;\\n\",\n       \"    __pyx_v_s = (__pyx_v_s + (*__Pyx_BufPtrStrided1d(__pyx_t_5numpy_float64_t *, __pyx_pybuffernd_data.rcbuffer-&gt;pybuffer.buf, __pyx_t_5, __pyx_pybuffernd_data.diminfo[0].strides)));\\n\",\n       \"  }\\n\",\n       \"</pre><pre class=\\\"cython line score-6\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">12</span>:     <span class=\\\"k\\\">return</span> <span class=\\\"n\\\">s</span></pre>\\n\",\n       \"<pre class='cython code score-6 '>  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_r);\\n\",\n       \"  __pyx_t_6 = <span class='py_c_api'>PyFloat_FromDouble</span>(__pyx_v_s);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 12, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6);\\n\",\n       \"  __pyx_r = __pyx_t_6;\\n\",\n       \"  __pyx_t_6 = 0;\\n\",\n       \"  goto __pyx_L0;\\n\",\n       \"</pre></div></body></html>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"execution_count\": 68,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%%cython -a\\n\",\n    \"cimport numpy\\n\",\n    \"cimport cython\\n\",\n    \"\\n\",\n    \"@cython.boundscheck(False)\\n\",\n    \"@cython.wraparound(False)\\n\",\n    \"def cy_sum(numpy.ndarray[numpy.float64_t, ndim=1] data):\\n\",\n    \"    cdef numpy.float64_t s = 0.0\\n\",\n    \"    #cdef int n, N = data.shape[0]\\n\",\n    \"    cdef int n, N = len(data)\\n\",\n    \"    for n in range(N):\\n\",\n    \"        s += data[n]\\n\",\n    \"    return s\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 69,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"46 μs ± 9.16 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit cy_sum(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 70,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"46 μs ± 10.4 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit jit_sum(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 71,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"12.7 μs ± 14.4 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit np.sum(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Cummulative sum\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 72,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Content of stderr:\\n\",\n      \"In file included from /opt/conda/envs/npbook_py310/lib/python3.10/site-packages/numpy/core/include/numpy/ndarraytypes.h:1929,\\n\",\n      \"                 from /opt/conda/envs/npbook_py310/lib/python3.10/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\\n\",\n      \"                 from /opt/conda/envs/npbook_py310/lib/python3.10/site-packages/numpy/core/include/numpy/arrayobject.h:5,\\n\",\n      \"                 from /home/rob/.cache/ipython/cython/_cython_magic_a7031120ac776f6c06c9d1ee05b4d71edd090747.c:1251:\\n\",\n      \"/opt/conda/envs/npbook_py310/lib/python3.10/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \\\"Using deprecated NumPy API, disable it with \\\" \\\"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\\\" [-Wcpp]\\n\",\n      \"   17 | #warning \\\"Using deprecated NumPy API, disable it with \\\" \\\\\\n\",\n      \"      |  ^~~~~~~\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<!DOCTYPE html>\\n\",\n       \"<!-- Generated by Cython 3.0.11 -->\\n\",\n       \"<html>\\n\",\n       \"<head>\\n\",\n       \"    <meta http-equiv=\\\"Content-Type\\\" content=\\\"text/html; charset=utf-8\\\" />\\n\",\n       \"    <title>Cython: _cython_magic_a7031120ac776f6c06c9d1ee05b4d71edd090747.pyx</title>\\n\",\n       \"    <style type=\\\"text/css\\\">\\n\",\n       \"    \\n\",\n       \"body.cython { font-family: courier; font-size: 12; }\\n\",\n       \"\\n\",\n       \".cython.tag  {  }\\n\",\n       \".cython.line { color: #000000; margin: 0em }\\n\",\n       \".cython.code { font-size: 9; color: #444444; display: none; margin: 0px 0px 0px 8px; border-left: 8px none; }\\n\",\n       \"\\n\",\n       \".cython.line .run { background-color: #B0FFB0; }\\n\",\n       \".cython.line .mis { background-color: #FFB0B0; }\\n\",\n       \".cython.code.run  { border-left: 8px solid #B0FFB0; }\\n\",\n       \".cython.code.mis  { border-left: 8px solid #FFB0B0; }\\n\",\n       \"\\n\",\n       \".cython.code .py_c_api  { color: red; }\\n\",\n       \".cython.code .py_macro_api  { color: #FF7000; }\\n\",\n       \".cython.code .pyx_c_api  { color: #FF3000; }\\n\",\n       \".cython.code .pyx_macro_api  { color: #FF7000; }\\n\",\n       \".cython.code .refnanny  { color: #FFA000; }\\n\",\n       \".cython.code .trace  { color: #FFA000; }\\n\",\n       \".cython.code .error_goto  { color: #FFA000; }\\n\",\n       \"\\n\",\n       \".cython.code .coerce  { color: #008000; border: 1px dotted #008000 }\\n\",\n       \".cython.code .py_attr { color: #FF0000; font-weight: bold; }\\n\",\n       \".cython.code .c_attr  { color: #0000FF; }\\n\",\n       \".cython.code .py_call { color: #FF0000; font-weight: bold; }\\n\",\n       \".cython.code .c_call  { color: #0000FF; }\\n\",\n       \"\\n\",\n       \".cython.score-0 {background-color: #FFFFff;}\\n\",\n       \".cython.score-1 {background-color: #FFFFe7;}\\n\",\n       \".cython.score-2 {background-color: #FFFFd4;}\\n\",\n       \".cython.score-3 {background-color: #FFFFc4;}\\n\",\n       \".cython.score-4 {background-color: #FFFFb6;}\\n\",\n       \".cython.score-5 {background-color: #FFFFaa;}\\n\",\n       \".cython.score-6 {background-color: #FFFF9f;}\\n\",\n       \".cython.score-7 {background-color: #FFFF96;}\\n\",\n       \".cython.score-8 {background-color: #FFFF8d;}\\n\",\n       \".cython.score-9 {background-color: #FFFF86;}\\n\",\n       \".cython.score-10 {background-color: #FFFF7f;}\\n\",\n       \".cython.score-11 {background-color: #FFFF79;}\\n\",\n       \".cython.score-12 {background-color: #FFFF73;}\\n\",\n       \".cython.score-13 {background-color: #FFFF6e;}\\n\",\n       \".cython.score-14 {background-color: #FFFF6a;}\\n\",\n       \".cython.score-15 {background-color: #FFFF66;}\\n\",\n       \".cython.score-16 {background-color: #FFFF62;}\\n\",\n       \".cython.score-17 {background-color: #FFFF5e;}\\n\",\n       \".cython.score-18 {background-color: #FFFF5b;}\\n\",\n       \".cython.score-19 {background-color: #FFFF57;}\\n\",\n       \".cython.score-20 {background-color: #FFFF55;}\\n\",\n       \".cython.score-21 {background-color: #FFFF52;}\\n\",\n       \".cython.score-22 {background-color: #FFFF4f;}\\n\",\n       \".cython.score-23 {background-color: #FFFF4d;}\\n\",\n       \".cython.score-24 {background-color: #FFFF4b;}\\n\",\n       \".cython.score-25 {background-color: #FFFF48;}\\n\",\n       \".cython.score-26 {background-color: #FFFF46;}\\n\",\n       \".cython.score-27 {background-color: #FFFF44;}\\n\",\n       \".cython.score-28 {background-color: #FFFF43;}\\n\",\n       \".cython.score-29 {background-color: #FFFF41;}\\n\",\n       \".cython.score-30 {background-color: #FFFF3f;}\\n\",\n       \".cython.score-31 {background-color: #FFFF3e;}\\n\",\n       \".cython.score-32 {background-color: #FFFF3c;}\\n\",\n       \".cython.score-33 {background-color: #FFFF3b;}\\n\",\n       \".cython.score-34 {background-color: #FFFF39;}\\n\",\n       \".cython.score-35 {background-color: #FFFF38;}\\n\",\n       \".cython.score-36 {background-color: #FFFF37;}\\n\",\n       \".cython.score-37 {background-color: #FFFF36;}\\n\",\n       \".cython.score-38 {background-color: #FFFF35;}\\n\",\n       \".cython.score-39 {background-color: #FFFF34;}\\n\",\n       \".cython.score-40 {background-color: #FFFF33;}\\n\",\n       \".cython.score-41 {background-color: #FFFF32;}\\n\",\n       \".cython.score-42 {background-color: #FFFF31;}\\n\",\n       \".cython.score-43 {background-color: #FFFF30;}\\n\",\n       \".cython.score-44 {background-color: #FFFF2f;}\\n\",\n       \".cython.score-45 {background-color: #FFFF2e;}\\n\",\n       \".cython.score-46 {background-color: #FFFF2d;}\\n\",\n       \".cython.score-47 {background-color: #FFFF2c;}\\n\",\n       \".cython.score-48 {background-color: #FFFF2b;}\\n\",\n       \".cython.score-49 {background-color: #FFFF2b;}\\n\",\n       \".cython.score-50 {background-color: #FFFF2a;}\\n\",\n       \".cython.score-51 {background-color: #FFFF29;}\\n\",\n       \".cython.score-52 {background-color: #FFFF29;}\\n\",\n       \".cython.score-53 {background-color: #FFFF28;}\\n\",\n       \".cython.score-54 {background-color: #FFFF27;}\\n\",\n       \".cython.score-55 {background-color: #FFFF27;}\\n\",\n       \".cython.score-56 {background-color: #FFFF26;}\\n\",\n       \".cython.score-57 {background-color: #FFFF26;}\\n\",\n       \".cython.score-58 {background-color: #FFFF25;}\\n\",\n       \".cython.score-59 {background-color: #FFFF24;}\\n\",\n       \".cython.score-60 {background-color: #FFFF24;}\\n\",\n       \".cython.score-61 {background-color: #FFFF23;}\\n\",\n       \".cython.score-62 {background-color: #FFFF23;}\\n\",\n       \".cython.score-63 {background-color: #FFFF22;}\\n\",\n       \".cython.score-64 {background-color: #FFFF22;}\\n\",\n       \".cython.score-65 {background-color: #FFFF22;}\\n\",\n       \".cython.score-66 {background-color: #FFFF21;}\\n\",\n       \".cython.score-67 {background-color: #FFFF21;}\\n\",\n       \".cython.score-68 {background-color: #FFFF20;}\\n\",\n       \".cython.score-69 {background-color: #FFFF20;}\\n\",\n       \".cython.score-70 {background-color: #FFFF1f;}\\n\",\n       \".cython.score-71 {background-color: #FFFF1f;}\\n\",\n       \".cython.score-72 {background-color: #FFFF1f;}\\n\",\n       \".cython.score-73 {background-color: #FFFF1e;}\\n\",\n       \".cython.score-74 {background-color: #FFFF1e;}\\n\",\n       \".cython.score-75 {background-color: #FFFF1e;}\\n\",\n       \".cython.score-76 {background-color: #FFFF1d;}\\n\",\n       \".cython.score-77 {background-color: #FFFF1d;}\\n\",\n       \".cython.score-78 {background-color: #FFFF1c;}\\n\",\n       \".cython.score-79 {background-color: #FFFF1c;}\\n\",\n       \".cython.score-80 {background-color: #FFFF1c;}\\n\",\n       \".cython.score-81 {background-color: #FFFF1c;}\\n\",\n       \".cython.score-82 {background-color: #FFFF1b;}\\n\",\n       \".cython.score-83 {background-color: #FFFF1b;}\\n\",\n       \".cython.score-84 {background-color: #FFFF1b;}\\n\",\n       \".cython.score-85 {background-color: #FFFF1a;}\\n\",\n       \".cython.score-86 {background-color: #FFFF1a;}\\n\",\n       \".cython.score-87 {background-color: #FFFF1a;}\\n\",\n       \".cython.score-88 {background-color: #FFFF1a;}\\n\",\n       \".cython.score-89 {background-color: #FFFF19;}\\n\",\n       \".cython.score-90 {background-color: #FFFF19;}\\n\",\n       \".cython.score-91 {background-color: #FFFF19;}\\n\",\n       \".cython.score-92 {background-color: #FFFF19;}\\n\",\n       \".cython.score-93 {background-color: #FFFF18;}\\n\",\n       \".cython.score-94 {background-color: #FFFF18;}\\n\",\n       \".cython.score-95 {background-color: #FFFF18;}\\n\",\n       \".cython.score-96 {background-color: #FFFF18;}\\n\",\n       \".cython.score-97 {background-color: #FFFF17;}\\n\",\n       \".cython.score-98 {background-color: #FFFF17;}\\n\",\n       \".cython.score-99 {background-color: #FFFF17;}\\n\",\n       \".cython.score-100 {background-color: #FFFF17;}\\n\",\n       \".cython.score-101 {background-color: #FFFF16;}\\n\",\n       \".cython.score-102 {background-color: #FFFF16;}\\n\",\n       \".cython.score-103 {background-color: #FFFF16;}\\n\",\n       \".cython.score-104 {background-color: #FFFF16;}\\n\",\n       \".cython.score-105 {background-color: #FFFF16;}\\n\",\n       \".cython.score-106 {background-color: #FFFF15;}\\n\",\n       \".cython.score-107 {background-color: #FFFF15;}\\n\",\n       \".cython.score-108 {background-color: #FFFF15;}\\n\",\n       \".cython.score-109 {background-color: #FFFF15;}\\n\",\n       \".cython.score-110 {background-color: #FFFF15;}\\n\",\n       \".cython.score-111 {background-color: #FFFF15;}\\n\",\n       \".cython.score-112 {background-color: #FFFF14;}\\n\",\n       \".cython.score-113 {background-color: #FFFF14;}\\n\",\n       \".cython.score-114 {background-color: #FFFF14;}\\n\",\n       \".cython.score-115 {background-color: #FFFF14;}\\n\",\n       \".cython.score-116 {background-color: #FFFF14;}\\n\",\n       \".cython.score-117 {background-color: #FFFF14;}\\n\",\n       \".cython.score-118 {background-color: #FFFF13;}\\n\",\n       \".cython.score-119 {background-color: #FFFF13;}\\n\",\n       \".cython.score-120 {background-color: #FFFF13;}\\n\",\n       \".cython.score-121 {background-color: #FFFF13;}\\n\",\n       \".cython.score-122 {background-color: #FFFF13;}\\n\",\n       \".cython.score-123 {background-color: #FFFF13;}\\n\",\n       \".cython.score-124 {background-color: #FFFF13;}\\n\",\n       \".cython.score-125 {background-color: #FFFF12;}\\n\",\n       \".cython.score-126 {background-color: #FFFF12;}\\n\",\n       \".cython.score-127 {background-color: #FFFF12;}\\n\",\n       \".cython.score-128 {background-color: #FFFF12;}\\n\",\n       \".cython.score-129 {background-color: #FFFF12;}\\n\",\n       \".cython.score-130 {background-color: #FFFF12;}\\n\",\n       \".cython.score-131 {background-color: #FFFF12;}\\n\",\n       \".cython.score-132 {background-color: #FFFF11;}\\n\",\n       \".cython.score-133 {background-color: #FFFF11;}\\n\",\n       \".cython.score-134 {background-color: #FFFF11;}\\n\",\n       \".cython.score-135 {background-color: #FFFF11;}\\n\",\n       \".cython.score-136 {background-color: #FFFF11;}\\n\",\n       \".cython.score-137 {background-color: #FFFF11;}\\n\",\n       \".cython.score-138 {background-color: #FFFF11;}\\n\",\n       \".cython.score-139 {background-color: #FFFF11;}\\n\",\n       \".cython.score-140 {background-color: #FFFF11;}\\n\",\n       \".cython.score-141 {background-color: #FFFF10;}\\n\",\n       \".cython.score-142 {background-color: #FFFF10;}\\n\",\n       \".cython.score-143 {background-color: #FFFF10;}\\n\",\n       \".cython.score-144 {background-color: #FFFF10;}\\n\",\n       \".cython.score-145 {background-color: #FFFF10;}\\n\",\n       \".cython.score-146 {background-color: #FFFF10;}\\n\",\n       \".cython.score-147 {background-color: #FFFF10;}\\n\",\n       \".cython.score-148 {background-color: #FFFF10;}\\n\",\n       \".cython.score-149 {background-color: #FFFF10;}\\n\",\n       \".cython.score-150 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-151 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-152 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-153 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-154 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-155 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-156 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-157 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-158 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-159 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-160 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-161 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-162 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-163 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-164 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-165 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-166 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-167 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-168 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-169 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-170 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-171 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-172 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-173 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-174 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-175 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-176 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-177 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-178 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-179 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-180 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-181 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-182 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-183 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-184 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-185 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-186 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-187 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-188 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-189 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-190 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-191 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-192 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-193 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-194 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-195 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-196 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-197 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-198 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-199 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-200 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-201 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-202 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-203 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-204 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-205 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-206 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-207 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-208 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-209 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-210 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-211 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-212 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-213 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-214 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-215 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-216 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-217 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-218 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-219 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-220 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-221 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-222 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-223 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-224 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-225 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-226 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-227 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-228 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-229 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-230 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-231 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-232 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-233 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-234 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-235 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-236 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-237 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-238 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-239 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-240 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-241 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-242 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-243 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-244 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-245 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-246 {background-color: #FFFF09;}\\n\",\n       \".cython.score-247 {background-color: #FFFF09;}\\n\",\n       \".cython.score-248 {background-color: #FFFF09;}\\n\",\n       \".cython.score-249 {background-color: #FFFF09;}\\n\",\n       \".cython.score-250 {background-color: #FFFF09;}\\n\",\n       \".cython.score-251 {background-color: #FFFF09;}\\n\",\n       \".cython.score-252 {background-color: #FFFF09;}\\n\",\n       \".cython.score-253 {background-color: #FFFF09;}\\n\",\n       \".cython.score-254 {background-color: #FFFF09;}\\n\",\n       \".cython .hll { background-color: #ffffcc }\\n\",\n       \".cython  { background: #f8f8f8; }\\n\",\n       \".cython .c { color: #408080; font-style: italic } /* Comment */\\n\",\n       \".cython .err { border: 1px solid #FF0000 } /* Error */\\n\",\n       \".cython .k { color: #008000; font-weight: bold } /* Keyword */\\n\",\n       \".cython .o { color: #666666 } /* Operator */\\n\",\n       \".cython .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n\",\n       \".cython .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n\",\n       \".cython .cp { color: #BC7A00 } /* Comment.Preproc */\\n\",\n       \".cython .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n\",\n       \".cython .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n\",\n       \".cython .cs { color: #408080; font-style: italic } /* Comment.Special */\\n\",\n       \".cython .gd { color: #A00000 } /* Generic.Deleted */\\n\",\n       \".cython .ge { font-style: italic } /* Generic.Emph */\\n\",\n       \".cython .gr { color: #FF0000 } /* Generic.Error */\\n\",\n       \".cython .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n\",\n       \".cython .gi { color: #00A000 } /* Generic.Inserted */\\n\",\n       \".cython .go { color: #888888 } /* Generic.Output */\\n\",\n       \".cython .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n\",\n       \".cython .gs { font-weight: bold } /* Generic.Strong */\\n\",\n       \".cython .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n\",\n       \".cython .gt { color: #0044DD } /* Generic.Traceback */\\n\",\n       \".cython .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n\",\n       \".cython .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n\",\n       \".cython .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n\",\n       \".cython .kp { color: #008000 } /* Keyword.Pseudo */\\n\",\n       \".cython .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n\",\n       \".cython .kt { color: #B00040 } /* Keyword.Type */\\n\",\n       \".cython .m { color: #666666 } /* Literal.Number */\\n\",\n       \".cython .s { color: #BA2121 } /* Literal.String */\\n\",\n       \".cython .na { color: #7D9029 } /* Name.Attribute */\\n\",\n       \".cython .nb { color: #008000 } /* Name.Builtin */\\n\",\n       \".cython .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n\",\n       \".cython .no { color: #880000 } /* Name.Constant */\\n\",\n       \".cython .nd { color: #AA22FF } /* Name.Decorator */\\n\",\n       \".cython .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n\",\n       \".cython .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n\",\n       \".cython .nf { color: #0000FF } /* Name.Function */\\n\",\n       \".cython .nl { color: #A0A000 } /* Name.Label */\\n\",\n       \".cython .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n\",\n       \".cython .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n\",\n       \".cython .nv { color: #19177C } /* Name.Variable */\\n\",\n       \".cython .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n\",\n       \".cython .w { color: #bbbbbb } /* Text.Whitespace */\\n\",\n       \".cython .mb { color: #666666 } /* Literal.Number.Bin */\\n\",\n       \".cython .mf { color: #666666 } /* Literal.Number.Float */\\n\",\n       \".cython .mh { color: #666666 } /* Literal.Number.Hex */\\n\",\n       \".cython .mi { color: #666666 } /* Literal.Number.Integer */\\n\",\n       \".cython .mo { color: #666666 } /* Literal.Number.Oct */\\n\",\n       \".cython .sa { color: #BA2121 } /* Literal.String.Affix */\\n\",\n       \".cython .sb { color: #BA2121 } /* Literal.String.Backtick */\\n\",\n       \".cython .sc { color: #BA2121 } /* Literal.String.Char */\\n\",\n       \".cython .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n\",\n       \".cython .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n\",\n       \".cython .s2 { color: #BA2121 } /* Literal.String.Double */\\n\",\n       \".cython .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n\",\n       \".cython .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n\",\n       \".cython .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n\",\n       \".cython .sx { color: #008000 } /* Literal.String.Other */\\n\",\n       \".cython .sr { color: #BB6688 } /* Literal.String.Regex */\\n\",\n       \".cython .s1 { color: #BA2121 } /* Literal.String.Single */\\n\",\n       \".cython .ss { color: #19177C } /* Literal.String.Symbol */\\n\",\n       \".cython .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n\",\n       \".cython .fm { color: #0000FF } /* Name.Function.Magic */\\n\",\n       \".cython .vc { color: #19177C } /* Name.Variable.Class */\\n\",\n       \".cython .vg { color: #19177C } /* Name.Variable.Global */\\n\",\n       \".cython .vi { color: #19177C } /* Name.Variable.Instance */\\n\",\n       \".cython .vm { color: #19177C } /* Name.Variable.Magic */\\n\",\n       \".cython .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\",\n       \"    </style>\\n\",\n       \"</head>\\n\",\n       \"<body class=\\\"cython\\\">\\n\",\n       \"<p><span style=\\\"border-bottom: solid 1px grey;\\\">Generated by Cython 3.0.11</span></p>\\n\",\n       \"<p>\\n\",\n       \"    <span style=\\\"background-color: #FFFF00\\\">Yellow lines</span> hint at Python interaction.<br />\\n\",\n       \"    Click on a line that starts with a \\\"<code>+</code>\\\" to see the C code that Cython generated for it.\\n\",\n       \"</p>\\n\",\n       \"<div class=\\\"cython\\\"><pre class=\\\"cython line score-8\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">01</span>: <span class=\\\"k\\\">cimport</span> <span class=\\\"nn\\\">numpy</span></pre>\\n\",\n       \"<pre class='cython code score-8 '>  __pyx_t_2 = <span class='pyx_c_api'>__Pyx_PyDict_NewPresized</span>(0);<span class='error_goto'> if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_2);\\n\",\n       \"  if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_d, __pyx_n_s_test, __pyx_t_2) &lt; 0) <span class='error_goto'>__PYX_ERR(0, 1, __pyx_L1_error)</span>\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_2); __pyx_t_2 = 0;\\n\",\n       \"</pre><pre class=\\\"cython line score-8\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">02</span>: <span class=\\\"k\\\">import</span> <span class=\\\"nn\\\">numpy</span></pre>\\n\",\n       \"<pre class='cython code score-8 '>  __pyx_t_2 = <span class='pyx_c_api'>__Pyx_ImportDottedModule</span>(__pyx_n_s_numpy, NULL);<span class='error_goto'> if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 2, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_2);\\n\",\n       \"  if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_d, __pyx_n_s_numpy, __pyx_t_2) &lt; 0) <span class='error_goto'>__PYX_ERR(0, 2, __pyx_L1_error)</span>\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_2); __pyx_t_2 = 0;\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">03</span>: <span class=\\\"k\\\">cimport</span> <span class=\\\"nn\\\">cython</span></pre>\\n\",\n       \"<pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">04</span>: </pre>\\n\",\n       \"<pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">05</span>: <span class=\\\"k\\\">ctypedef</span> <span class=\\\"n\\\">numpy</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">float64_t</span> <span class=\\\"n\\\">FTYPE_t</span></pre>\\n\",\n       \"<pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">06</span>: </pre>\\n\",\n       \"<pre class=\\\"cython line score-69\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">07</span>: <span class=\\\"nd\\\">@cython</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">boundscheck</span><span class=\\\"p\\\">(</span><span class=\\\"bp\\\">False</span><span class=\\\"p\\\">)</span></pre>\\n\",\n       \"<pre class='cython code score-69 '>/* Python wrapper */\\n\",\n       \"static PyObject *__pyx_pw_54_cython_magic_a7031120ac776f6c06c9d1ee05b4d71edd090747_1cy_cumsum(PyObject *__pyx_self, \\n\",\n       \"#if CYTHON_METH_FASTCALL\\n\",\n       \"PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds\\n\",\n       \"#else\\n\",\n       \"PyObject *__pyx_args, PyObject *__pyx_kwds\\n\",\n       \"#endif\\n\",\n       \"); /*proto*/\\n\",\n       \"static PyMethodDef __pyx_mdef_54_cython_magic_a7031120ac776f6c06c9d1ee05b4d71edd090747_1cy_cumsum = {\\\"cy_cumsum\\\", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_54_cython_magic_a7031120ac776f6c06c9d1ee05b4d71edd090747_1cy_cumsum, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0};\\n\",\n       \"static PyObject *__pyx_pw_54_cython_magic_a7031120ac776f6c06c9d1ee05b4d71edd090747_1cy_cumsum(PyObject *__pyx_self, \\n\",\n       \"#if CYTHON_METH_FASTCALL\\n\",\n       \"PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds\\n\",\n       \"#else\\n\",\n       \"PyObject *__pyx_args, PyObject *__pyx_kwds\\n\",\n       \"#endif\\n\",\n       \") {\\n\",\n       \"  PyArrayObject *__pyx_v_data = 0;\\n\",\n       \"  #if !CYTHON_METH_FASTCALL\\n\",\n       \"  CYTHON_UNUSED Py_ssize_t __pyx_nargs;\\n\",\n       \"  #endif\\n\",\n       \"  CYTHON_UNUSED PyObject *const *__pyx_kwvalues;\\n\",\n       \"  PyObject *__pyx_r = 0;\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyDeclarations</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannySetupContext</span>(\\\"cy_cumsum (wrapper)\\\", 0);\\n\",\n       \"  #if !CYTHON_METH_FASTCALL\\n\",\n       \"  #if CYTHON_ASSUME_SAFE_MACROS\\n\",\n       \"  __pyx_nargs = <span class='py_macro_api'>PyTuple_GET_SIZE</span>(__pyx_args);\\n\",\n       \"  #else\\n\",\n       \"  __pyx_nargs = <span class='py_c_api'>PyTuple_Size</span>(__pyx_args); if (unlikely(__pyx_nargs &lt; 0)) return NULL;\\n\",\n       \"  #endif\\n\",\n       \"  #endif\\n\",\n       \"  __pyx_kwvalues = <span class='pyx_c_api'>__Pyx_KwValues_FASTCALL</span>(__pyx_args, __pyx_nargs);\\n\",\n       \"  {\\n\",\n       \"    PyObject **__pyx_pyargnames[] = {&amp;__pyx_n_s_data,0};\\n\",\n       \"  PyObject* values[1] = {0};\\n\",\n       \"    if (__pyx_kwds) {\\n\",\n       \"      Py_ssize_t kw_args;\\n\",\n       \"      switch (__pyx_nargs) {\\n\",\n       \"        case  1: values[0] = <span class='pyx_c_api'>__Pyx_Arg_FASTCALL</span>(__pyx_args, 0);\\n\",\n       \"        CYTHON_FALLTHROUGH;\\n\",\n       \"        case  0: break;\\n\",\n       \"        default: goto __pyx_L5_argtuple_error;\\n\",\n       \"      }\\n\",\n       \"      kw_args = <span class='pyx_c_api'>__Pyx_NumKwargs_FASTCALL</span>(__pyx_kwds);\\n\",\n       \"      switch (__pyx_nargs) {\\n\",\n       \"        case  0:\\n\",\n       \"        if (likely((values[0] = <span class='pyx_c_api'>__Pyx_GetKwValue_FASTCALL</span>(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_data)) != 0)) {\\n\",\n       \"          (void)<span class='pyx_c_api'>__Pyx_Arg_NewRef_FASTCALL</span>(values[0]);\\n\",\n       \"          kw_args--;\\n\",\n       \"        }\\n\",\n       \"        else if (unlikely(<span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 7, __pyx_L3_error)</span>\\n\",\n       \"        else goto __pyx_L5_argtuple_error;\\n\",\n       \"      }\\n\",\n       \"      if (unlikely(kw_args &gt; 0)) {\\n\",\n       \"        const Py_ssize_t kwd_pos_args = __pyx_nargs;\\n\",\n       \"        if (unlikely(<span class='pyx_c_api'>__Pyx_ParseOptionalKeywords</span>(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values + 0, kwd_pos_args, \\\"cy_cumsum\\\") &lt; 0)) <span class='error_goto'>__PYX_ERR(0, 7, __pyx_L3_error)</span>\\n\",\n       \"      }\\n\",\n       \"    } else if (unlikely(__pyx_nargs != 1)) {\\n\",\n       \"      goto __pyx_L5_argtuple_error;\\n\",\n       \"    } else {\\n\",\n       \"      values[0] = <span class='pyx_c_api'>__Pyx_Arg_FASTCALL</span>(__pyx_args, 0);\\n\",\n       \"    }\\n\",\n       \"    __pyx_v_data = ((PyArrayObject *)values[0]);\\n\",\n       \"  }\\n\",\n       \"  goto __pyx_L6_skip;\\n\",\n       \"  __pyx_L5_argtuple_error:;\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_RaiseArgtupleInvalid</span>(\\\"cy_cumsum\\\", 1, 1, 1, __pyx_nargs); <span class='error_goto'>__PYX_ERR(0, 7, __pyx_L3_error)</span>\\n\",\n       \"  __pyx_L6_skip:;\\n\",\n       \"  goto __pyx_L4_argument_unpacking_done;\\n\",\n       \"  __pyx_L3_error:;\\n\",\n       \"  {\\n\",\n       \"    Py_ssize_t __pyx_temp;\\n\",\n       \"    for (__pyx_temp=0; __pyx_temp &lt; (Py_ssize_t)(sizeof(values)/sizeof(values[0])); ++__pyx_temp) {\\n\",\n       \"      <span class='pyx_c_api'>__Pyx_Arg_XDECREF_FASTCALL</span>(values[__pyx_temp]);\\n\",\n       \"    }\\n\",\n       \"  }\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_AddTraceback</span>(\\\"_cython_magic_a7031120ac776f6c06c9d1ee05b4d71edd090747.cy_cumsum\\\", __pyx_clineno, __pyx_lineno, __pyx_filename);\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return NULL;\\n\",\n       \"  __pyx_L4_argument_unpacking_done:;\\n\",\n       \"  if (unlikely(!<span class='pyx_c_api'>__Pyx_ArgTypeTest</span>(((PyObject *)__pyx_v_data), __pyx_ptype_5numpy_ndarray, 1, \\\"data\\\", 0))) <span class='error_goto'>__PYX_ERR(0, 9, __pyx_L1_error)</span>\\n\",\n       \"  __pyx_r = __pyx_pf_54_cython_magic_a7031120ac776f6c06c9d1ee05b4d71edd090747_cy_cumsum(__pyx_self, __pyx_v_data);\\n\",\n       \"  int __pyx_lineno = 0;\\n\",\n       \"  const char *__pyx_filename = NULL;\\n\",\n       \"  int __pyx_clineno = 0;\\n\",\n       \"\\n\",\n       \"  /* function exit code */\\n\",\n       \"  goto __pyx_L0;\\n\",\n       \"  __pyx_L1_error:;\\n\",\n       \"  __pyx_r = NULL;\\n\",\n       \"  __pyx_L0:;\\n\",\n       \"  {\\n\",\n       \"    Py_ssize_t __pyx_temp;\\n\",\n       \"    for (__pyx_temp=0; __pyx_temp &lt; (Py_ssize_t)(sizeof(values)/sizeof(values[0])); ++__pyx_temp) {\\n\",\n       \"      <span class='pyx_c_api'>__Pyx_Arg_XDECREF_FASTCALL</span>(values[__pyx_temp]);\\n\",\n       \"    }\\n\",\n       \"  }\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return __pyx_r;\\n\",\n       \"}\\n\",\n       \"\\n\",\n       \"static PyObject *__pyx_pf_54_cython_magic_a7031120ac776f6c06c9d1ee05b4d71edd090747_cy_cumsum(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_data) {\\n\",\n       \"  int __pyx_v_n;\\n\",\n       \"  int __pyx_v_N;\\n\",\n       \"  PyArrayObject *__pyx_v_out = 0;\\n\",\n       \"  __pyx_t_5numpy_float64_t __pyx_v_s;\\n\",\n       \"  __Pyx_LocalBuf_ND __pyx_pybuffernd_data;\\n\",\n       \"  __Pyx_Buffer __pyx_pybuffer_data;\\n\",\n       \"  __Pyx_LocalBuf_ND __pyx_pybuffernd_out;\\n\",\n       \"  __Pyx_Buffer __pyx_pybuffer_out;\\n\",\n       \"  PyObject *__pyx_r = NULL;\\n\",\n       \"  __pyx_pybuffer_out.pybuffer.buf = NULL;\\n\",\n       \"  __pyx_pybuffer_out.refcount = 0;\\n\",\n       \"  __pyx_pybuffernd_out.data = NULL;\\n\",\n       \"  __pyx_pybuffernd_out.rcbuffer = &amp;__pyx_pybuffer_out;\\n\",\n       \"  __pyx_pybuffer_data.pybuffer.buf = NULL;\\n\",\n       \"  __pyx_pybuffer_data.refcount = 0;\\n\",\n       \"  __pyx_pybuffernd_data.data = NULL;\\n\",\n       \"  __pyx_pybuffernd_data.rcbuffer = &amp;__pyx_pybuffer_data;\\n\",\n       \"  {\\n\",\n       \"    __Pyx_BufFmt_StackElem __pyx_stack[1];\\n\",\n       \"    if (unlikely(<span class='pyx_c_api'>__Pyx_GetBufferAndValidate</span>(&amp;__pyx_pybuffernd_data.rcbuffer-&gt;pybuffer, (PyObject*)__pyx_v_data, &amp;__Pyx_TypeInfo_nn___pyx_t_54_cython_magic_a7031120ac776f6c06c9d1ee05b4d71edd090747_FTYPE_t, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) <span class='error_goto'>__PYX_ERR(0, 7, __pyx_L1_error)</span>\\n\",\n       \"  }\\n\",\n       \"  __pyx_pybuffernd_data.diminfo[0].strides = __pyx_pybuffernd_data.rcbuffer-&gt;pybuffer.strides[0]; __pyx_pybuffernd_data.diminfo[0].shape = __pyx_pybuffernd_data.rcbuffer-&gt;pybuffer.shape[0];\\n\",\n       \"/* … */\\n\",\n       \"  /* function exit code */\\n\",\n       \"  __pyx_L1_error:;\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_2);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_3);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_4);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_5);\\n\",\n       \"  { PyObject *__pyx_type, *__pyx_value, *__pyx_tb;\\n\",\n       \"    __Pyx_PyThreadState_declare\\n\",\n       \"    __Pyx_PyThreadState_assign\\n\",\n       \"    <span class='pyx_c_api'>__Pyx_ErrFetch</span>(&amp;__pyx_type, &amp;__pyx_value, &amp;__pyx_tb);\\n\",\n       \"    <span class='pyx_c_api'>__Pyx_SafeReleaseBuffer</span>(&amp;__pyx_pybuffernd_data.rcbuffer-&gt;pybuffer);\\n\",\n       \"    <span class='pyx_c_api'>__Pyx_SafeReleaseBuffer</span>(&amp;__pyx_pybuffernd_out.rcbuffer-&gt;pybuffer);\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_ErrRestore</span>(__pyx_type, __pyx_value, __pyx_tb);}\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_AddTraceback</span>(\\\"_cython_magic_a7031120ac776f6c06c9d1ee05b4d71edd090747.cy_cumsum\\\", __pyx_clineno, __pyx_lineno, __pyx_filename);\\n\",\n       \"  __pyx_r = NULL;\\n\",\n       \"  goto __pyx_L2;\\n\",\n       \"  __pyx_L0:;\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_SafeReleaseBuffer</span>(&amp;__pyx_pybuffernd_data.rcbuffer-&gt;pybuffer);\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_SafeReleaseBuffer</span>(&amp;__pyx_pybuffernd_out.rcbuffer-&gt;pybuffer);\\n\",\n       \"  __pyx_L2:;\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>((PyObject *)__pyx_v_out);\\n\",\n       \"  <span class='refnanny'>__Pyx_XGIVEREF</span>(__pyx_r);\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return __pyx_r;\\n\",\n       \"}\\n\",\n       \"/* … */\\n\",\n       \"  __pyx_tuple__4 = <span class='py_c_api'>PyTuple_Pack</span>(5, __pyx_n_s_data, __pyx_n_s_n, __pyx_n_s_N, __pyx_n_s_out, __pyx_n_s_s);<span class='error_goto'> if (unlikely(!__pyx_tuple__4)) __PYX_ERR(0, 7, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_tuple__4);\\n\",\n       \"  <span class='refnanny'>__Pyx_GIVEREF</span>(__pyx_tuple__4);\\n\",\n       \"/* … */\\n\",\n       \"  __pyx_t_2 = <span class='pyx_c_api'>__Pyx_CyFunction_New</span>(&amp;__pyx_mdef_54_cython_magic_a7031120ac776f6c06c9d1ee05b4d71edd090747_1cy_cumsum, 0, __pyx_n_s_cy_cumsum, NULL, __pyx_n_s_cython_magic_a7031120ac776f6c06, __pyx_d, ((PyObject *)__pyx_codeobj__5));<span class='error_goto'> if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 7, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_2);\\n\",\n       \"  if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_d, __pyx_n_s_cy_cumsum, __pyx_t_2) &lt; 0) <span class='error_goto'>__PYX_ERR(0, 7, __pyx_L1_error)</span>\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_2); __pyx_t_2 = 0;\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">08</span>: <span class=\\\"nd\\\">@cython</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">wraparound</span><span class=\\\"p\\\">(</span><span class=\\\"bp\\\">False</span><span class=\\\"p\\\">)</span></pre>\\n\",\n       \"<pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">09</span>: <span class=\\\"k\\\">def</span> <span class=\\\"nf\\\">cy_cumsum</span><span class=\\\"p\\\">(</span><span class=\\\"n\\\">numpy</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">ndarray</span><span class=\\\"p\\\">[</span><span class=\\\"n\\\">FTYPE_t</span><span class=\\\"p\\\">,</span> <span class=\\\"n\\\">ndim</span><span class=\\\"o\\\">=</span><span class=\\\"mf\\\">1</span><span class=\\\"p\\\">]</span> <span class=\\\"n\\\">data</span><span class=\\\"p\\\">):</span></pre>\\n\",\n       \"<pre class=\\\"cython line score-5\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">10</span>:     <span class=\\\"k\\\">cdef</span> <span class=\\\"kt\\\">int</span> <span class=\\\"nf\\\">n</span><span class=\\\"p\\\">,</span> <span class=\\\"nf\\\">N</span> <span class=\\\"o\\\">=</span> <span class=\\\"n\\\">data</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">size</span></pre>\\n\",\n       \"<pre class='cython code score-5 '>  __pyx_t_1 = __pyx_f_5numpy_7ndarray_4size_size(((PyArrayObject *)__pyx_v_data)); if (unlikely(__pyx_t_1 == ((npy_intp)-1) &amp;&amp; <span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 10, __pyx_L1_error)</span>\\n\",\n       \"  __pyx_v_N = __pyx_t_1;\\n\",\n       \"</pre><pre class=\\\"cython line score-34\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">11</span>:     <span class=\\\"k\\\">cdef</span> <span class=\\\"kt\\\">numpy</span>.<span class=\\\"kt\\\">ndarray</span>[<span class=\\\"nf\\\">FTYPE_t</span><span class=\\\"p\\\">,</span> <span class=\\\"nf\\\">ndim</span><span class=\\\"o\\\">=</span><span class=\\\"mf\\\">1</span><span class=\\\"p\\\">]</span> <span class=\\\"n\\\">out</span> <span class=\\\"o\\\">=</span> <span class=\\\"n\\\">numpy</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">zeros</span><span class=\\\"p\\\">(</span><span class=\\\"n\\\">N</span><span class=\\\"p\\\">,</span> <span class=\\\"n\\\">dtype</span><span class=\\\"o\\\">=</span><span class=\\\"n\\\">data</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">dtype</span><span class=\\\"p\\\">)</span></pre>\\n\",\n       \"<pre class='cython code score-34 '>  <span class='pyx_c_api'>__Pyx_GetModuleGlobalName</span>(__pyx_t_2, __pyx_n_s_numpy);<span class='error_goto'> if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 11, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_2);\\n\",\n       \"  __pyx_t_3 = <span class='pyx_c_api'>__Pyx_PyObject_GetAttrStr</span>(__pyx_t_2, __pyx_n_s_zeros);<span class='error_goto'> if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 11, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_3);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_2); __pyx_t_2 = 0;\\n\",\n       \"  __pyx_t_2 = <span class='pyx_c_api'>__Pyx_PyInt_From_int</span>(__pyx_v_N);<span class='error_goto'> if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 11, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_2);\\n\",\n       \"  __pyx_t_4 = <span class='py_c_api'>PyTuple_New</span>(1);<span class='error_goto'> if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 11, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_4);\\n\",\n       \"  <span class='refnanny'>__Pyx_GIVEREF</span>(__pyx_t_2);\\n\",\n       \"  if (<span class='pyx_c_api'>__Pyx_PyTuple_SET_ITEM</span>(__pyx_t_4, 0, __pyx_t_2)) <span class='error_goto'>__PYX_ERR(0, 11, __pyx_L1_error)</span>;\\n\",\n       \"  __pyx_t_2 = 0;\\n\",\n       \"  __pyx_t_2 = <span class='pyx_c_api'>__Pyx_PyDict_NewPresized</span>(1);<span class='error_goto'> if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 11, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_2);\\n\",\n       \"  __pyx_t_5 = <span class='pyx_c_api'>__Pyx_PyObject_GetAttrStr</span>(((PyObject *)__pyx_v_data), __pyx_n_s_dtype);<span class='error_goto'> if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 11, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_5);\\n\",\n       \"  if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_t_2, __pyx_n_s_dtype, __pyx_t_5) &lt; 0) <span class='error_goto'>__PYX_ERR(0, 11, __pyx_L1_error)</span>\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_5); __pyx_t_5 = 0;\\n\",\n       \"  __pyx_t_5 = <span class='pyx_c_api'>__Pyx_PyObject_Call</span>(__pyx_t_3, __pyx_t_4, __pyx_t_2);<span class='error_goto'> if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 11, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_5);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_3); __pyx_t_3 = 0;\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_4); __pyx_t_4 = 0;\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_2); __pyx_t_2 = 0;\\n\",\n       \"  if (!(likely(((__pyx_t_5) == Py_None) || likely(<span class='pyx_c_api'>__Pyx_TypeTest</span>(__pyx_t_5, __pyx_ptype_5numpy_ndarray))))) <span class='error_goto'>__PYX_ERR(0, 11, __pyx_L1_error)</span>\\n\",\n       \"  __pyx_t_6 = ((PyArrayObject *)__pyx_t_5);\\n\",\n       \"  {\\n\",\n       \"    __Pyx_BufFmt_StackElem __pyx_stack[1];\\n\",\n       \"    if (unlikely(<span class='pyx_c_api'>__Pyx_GetBufferAndValidate</span>(&amp;__pyx_pybuffernd_out.rcbuffer-&gt;pybuffer, (PyObject*)__pyx_t_6, &amp;__Pyx_TypeInfo_nn___pyx_t_54_cython_magic_a7031120ac776f6c06c9d1ee05b4d71edd090747_FTYPE_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 1, 0, __pyx_stack) == -1)) {\\n\",\n       \"      __pyx_v_out = ((PyArrayObject *)Py_None); <span class='pyx_macro_api'>__Pyx_INCREF</span>(Py_None); __pyx_pybuffernd_out.rcbuffer-&gt;pybuffer.buf = NULL;\\n\",\n       \"      <span class='error_goto'>__PYX_ERR(0, 11, __pyx_L1_error)</span>\\n\",\n       \"    } else {__pyx_pybuffernd_out.diminfo[0].strides = __pyx_pybuffernd_out.rcbuffer-&gt;pybuffer.strides[0]; __pyx_pybuffernd_out.diminfo[0].shape = __pyx_pybuffernd_out.rcbuffer-&gt;pybuffer.shape[0];\\n\",\n       \"    }\\n\",\n       \"  }\\n\",\n       \"  __pyx_t_6 = 0;\\n\",\n       \"  __pyx_v_out = ((PyArrayObject *)__pyx_t_5);\\n\",\n       \"  __pyx_t_5 = 0;\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">12</span>:     <span class=\\\"k\\\">cdef</span> <span class=\\\"kt\\\">numpy</span>.<span class=\\\"kt\\\">float64_t</span> <span class=\\\"nf\\\">s</span> <span class=\\\"o\\\">=</span> <span class=\\\"mf\\\">0.0</span></pre>\\n\",\n       \"<pre class='cython code score-0 '>  __pyx_v_s = 0.0;\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">13</span>:     <span class=\\\"k\\\">for</span> <span class=\\\"n\\\">n</span> <span class=\\\"ow\\\">in</span> <span class=\\\"nb\\\">range</span><span class=\\\"p\\\">(</span><span class=\\\"n\\\">N</span><span class=\\\"p\\\">):</span></pre>\\n\",\n       \"<pre class='cython code score-0 '>  __pyx_t_7 = __pyx_v_N;\\n\",\n       \"  __pyx_t_8 = __pyx_t_7;\\n\",\n       \"  for (__pyx_t_9 = 0; __pyx_t_9 &lt; __pyx_t_8; __pyx_t_9+=1) {\\n\",\n       \"    __pyx_v_n = __pyx_t_9;\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">14</span>:         <span class=\\\"n\\\">s</span> <span class=\\\"o\\\">+=</span> <span class=\\\"n\\\">data</span><span class=\\\"p\\\">[</span><span class=\\\"n\\\">n</span><span class=\\\"p\\\">]</span></pre>\\n\",\n       \"<pre class='cython code score-0 '>    __pyx_t_10 = __pyx_v_n;\\n\",\n       \"    __pyx_v_s = (__pyx_v_s + (*__Pyx_BufPtrStrided1d(__pyx_t_54_cython_magic_a7031120ac776f6c06c9d1ee05b4d71edd090747_FTYPE_t *, __pyx_pybuffernd_data.rcbuffer-&gt;pybuffer.buf, __pyx_t_10, __pyx_pybuffernd_data.diminfo[0].strides)));\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">15</span>:         <span class=\\\"n\\\">out</span><span class=\\\"p\\\">[</span><span class=\\\"n\\\">n</span><span class=\\\"p\\\">]</span> <span class=\\\"o\\\">=</span> <span class=\\\"n\\\">s</span></pre>\\n\",\n       \"<pre class='cython code score-0 '>    __pyx_t_10 = __pyx_v_n;\\n\",\n       \"    *__Pyx_BufPtrStrided1d(__pyx_t_54_cython_magic_a7031120ac776f6c06c9d1ee05b4d71edd090747_FTYPE_t *, __pyx_pybuffernd_out.rcbuffer-&gt;pybuffer.buf, __pyx_t_10, __pyx_pybuffernd_out.diminfo[0].strides) = __pyx_v_s;\\n\",\n       \"  }\\n\",\n       \"</pre><pre class=\\\"cython line score-2\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">16</span>:     <span class=\\\"k\\\">return</span> <span class=\\\"n\\\">out</span></pre>\\n\",\n       \"<pre class='cython code score-2 '>  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_r);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_INCREF</span>((PyObject *)__pyx_v_out);\\n\",\n       \"  __pyx_r = ((PyObject *)__pyx_v_out);\\n\",\n       \"  goto __pyx_L0;\\n\",\n       \"</pre></div></body></html>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"execution_count\": 72,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%%cython -a\\n\",\n    \"cimport numpy\\n\",\n    \"import numpy\\n\",\n    \"cimport cython\\n\",\n    \"\\n\",\n    \"ctypedef numpy.float64_t FTYPE_t\\n\",\n    \"\\n\",\n    \"@cython.boundscheck(False)\\n\",\n    \"@cython.wraparound(False)\\n\",\n    \"def cy_cumsum(numpy.ndarray[FTYPE_t, ndim=1] data):\\n\",\n    \"    cdef int n, N = data.size\\n\",\n    \"    cdef numpy.ndarray[FTYPE_t, ndim=1] out = numpy.zeros(N, dtype=data.dtype)\\n\",\n    \"    cdef numpy.float64_t s = 0.0\\n\",\n    \"    for n in range(N):\\n\",\n    \"        s += data[n]\\n\",\n    \"        out[n] = s\\n\",\n    \"    return out\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 73,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"6.39 ms ± 28.2 μs per loop (mean ± std. dev. of 7 runs, 100 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit py_cumsum(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 74,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"53.4 μs ± 113 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit cy_cumsum(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 75,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"52.8 μs ± 11.8 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit jit_cumsum(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 76,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"107 μs ± 404 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit np.cumsum(data)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 77,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"assert np.allclose(cy_cumsum(data), np.cumsum(data))\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Fused types\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 78,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"15.0\"\n      ]\n     },\n     \"execution_count\": 78,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"py_sum([1.0, 2.0, 3.0, 4.0, 5.0])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 79,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"15\"\n      ]\n     },\n     \"execution_count\": 79,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"py_sum([1, 2, 3, 4, 5])\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 80,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"15.0\"\n      ]\n     },\n     \"execution_count\": 80,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"cy_sum(np.array([1.0, 2.0, 3.0, 4.0, 5.0]))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 81,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"ename\": \"ValueError\",\n     \"evalue\": \"Buffer dtype mismatch, expected 'float64_t' but got 'long'\",\n     \"output_type\": \"error\",\n     \"traceback\": [\n      \"\\u001b[0;31m---------------------------------------------------------------------------\\u001b[0m\",\n      \"\\u001b[0;31mValueError\\u001b[0m                                Traceback (most recent call last)\",\n      \"Cell \\u001b[0;32mIn[81], line 1\\u001b[0m\\n\\u001b[0;32m----> 1\\u001b[0m \\u001b[43mcy_sum\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43mnp\\u001b[49m\\u001b[38;5;241;43m.\\u001b[39;49m\\u001b[43marray\\u001b[49m\\u001b[43m(\\u001b[49m\\u001b[43m[\\u001b[49m\\u001b[38;5;241;43m1\\u001b[39;49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m2\\u001b[39;49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m3\\u001b[39;49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m4\\u001b[39;49m\\u001b[43m,\\u001b[49m\\u001b[43m \\u001b[49m\\u001b[38;5;241;43m5\\u001b[39;49m\\u001b[43m]\\u001b[49m\\u001b[43m)\\u001b[49m\\u001b[43m)\\u001b[49m\\n\",\n      \"File \\u001b[0;32m_cython_magic_16d506d9dddc3a141b0f412e0228a611fa6c09f1.pyx:4\\u001b[0m, in \\u001b[0;36m_cython_magic_16d506d9dddc3a141b0f412e0228a611fa6c09f1.cy_sum\\u001b[0;34m()\\u001b[0m\\n\",\n      \"\\u001b[0;31mValueError\\u001b[0m: Buffer dtype mismatch, expected 'float64_t' but got 'long'\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"cy_sum(np.array([1, 2, 3, 4, 5]))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 82,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Content of stderr:\\n\",\n      \"In file included from /opt/conda/envs/npbook_py310/lib/python3.10/site-packages/numpy/core/include/numpy/ndarraytypes.h:1929,\\n\",\n      \"                 from /opt/conda/envs/npbook_py310/lib/python3.10/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\\n\",\n      \"                 from /opt/conda/envs/npbook_py310/lib/python3.10/site-packages/numpy/core/include/numpy/arrayobject.h:5,\\n\",\n      \"                 from /home/rob/.cache/ipython/cython/_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d.c:1252:\\n\",\n      \"/opt/conda/envs/npbook_py310/lib/python3.10/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \\\"Using deprecated NumPy API, disable it with \\\" \\\"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\\\" [-Wcpp]\\n\",\n      \"   17 | #warning \\\"Using deprecated NumPy API, disable it with \\\" \\\\\\n\",\n      \"      |  ^~~~~~~\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<!DOCTYPE html>\\n\",\n       \"<!-- Generated by Cython 3.0.11 -->\\n\",\n       \"<html>\\n\",\n       \"<head>\\n\",\n       \"    <meta http-equiv=\\\"Content-Type\\\" content=\\\"text/html; charset=utf-8\\\" />\\n\",\n       \"    <title>Cython: _cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d.pyx</title>\\n\",\n       \"    <style type=\\\"text/css\\\">\\n\",\n       \"    \\n\",\n       \"body.cython { font-family: courier; font-size: 12; }\\n\",\n       \"\\n\",\n       \".cython.tag  {  }\\n\",\n       \".cython.line { color: #000000; margin: 0em }\\n\",\n       \".cython.code { font-size: 9; color: #444444; display: none; margin: 0px 0px 0px 8px; border-left: 8px none; }\\n\",\n       \"\\n\",\n       \".cython.line .run { background-color: #B0FFB0; }\\n\",\n       \".cython.line .mis { background-color: #FFB0B0; }\\n\",\n       \".cython.code.run  { border-left: 8px solid #B0FFB0; }\\n\",\n       \".cython.code.mis  { border-left: 8px solid #FFB0B0; }\\n\",\n       \"\\n\",\n       \".cython.code .py_c_api  { color: red; }\\n\",\n       \".cython.code .py_macro_api  { color: #FF7000; }\\n\",\n       \".cython.code .pyx_c_api  { color: #FF3000; }\\n\",\n       \".cython.code .pyx_macro_api  { color: #FF7000; }\\n\",\n       \".cython.code .refnanny  { color: #FFA000; }\\n\",\n       \".cython.code .trace  { color: #FFA000; }\\n\",\n       \".cython.code .error_goto  { color: #FFA000; }\\n\",\n       \"\\n\",\n       \".cython.code .coerce  { color: #008000; border: 1px dotted #008000 }\\n\",\n       \".cython.code .py_attr { color: #FF0000; font-weight: bold; }\\n\",\n       \".cython.code .c_attr  { color: #0000FF; }\\n\",\n       \".cython.code .py_call { color: #FF0000; font-weight: bold; }\\n\",\n       \".cython.code .c_call  { color: #0000FF; }\\n\",\n       \"\\n\",\n       \".cython.score-0 {background-color: #FFFFff;}\\n\",\n       \".cython.score-1 {background-color: #FFFFe7;}\\n\",\n       \".cython.score-2 {background-color: #FFFFd4;}\\n\",\n       \".cython.score-3 {background-color: #FFFFc4;}\\n\",\n       \".cython.score-4 {background-color: #FFFFb6;}\\n\",\n       \".cython.score-5 {background-color: #FFFFaa;}\\n\",\n       \".cython.score-6 {background-color: #FFFF9f;}\\n\",\n       \".cython.score-7 {background-color: #FFFF96;}\\n\",\n       \".cython.score-8 {background-color: #FFFF8d;}\\n\",\n       \".cython.score-9 {background-color: #FFFF86;}\\n\",\n       \".cython.score-10 {background-color: #FFFF7f;}\\n\",\n       \".cython.score-11 {background-color: #FFFF79;}\\n\",\n       \".cython.score-12 {background-color: #FFFF73;}\\n\",\n       \".cython.score-13 {background-color: #FFFF6e;}\\n\",\n       \".cython.score-14 {background-color: #FFFF6a;}\\n\",\n       \".cython.score-15 {background-color: #FFFF66;}\\n\",\n       \".cython.score-16 {background-color: #FFFF62;}\\n\",\n       \".cython.score-17 {background-color: #FFFF5e;}\\n\",\n       \".cython.score-18 {background-color: #FFFF5b;}\\n\",\n       \".cython.score-19 {background-color: #FFFF57;}\\n\",\n       \".cython.score-20 {background-color: #FFFF55;}\\n\",\n       \".cython.score-21 {background-color: #FFFF52;}\\n\",\n       \".cython.score-22 {background-color: #FFFF4f;}\\n\",\n       \".cython.score-23 {background-color: #FFFF4d;}\\n\",\n       \".cython.score-24 {background-color: #FFFF4b;}\\n\",\n       \".cython.score-25 {background-color: #FFFF48;}\\n\",\n       \".cython.score-26 {background-color: #FFFF46;}\\n\",\n       \".cython.score-27 {background-color: #FFFF44;}\\n\",\n       \".cython.score-28 {background-color: #FFFF43;}\\n\",\n       \".cython.score-29 {background-color: #FFFF41;}\\n\",\n       \".cython.score-30 {background-color: #FFFF3f;}\\n\",\n       \".cython.score-31 {background-color: #FFFF3e;}\\n\",\n       \".cython.score-32 {background-color: #FFFF3c;}\\n\",\n       \".cython.score-33 {background-color: #FFFF3b;}\\n\",\n       \".cython.score-34 {background-color: #FFFF39;}\\n\",\n       \".cython.score-35 {background-color: #FFFF38;}\\n\",\n       \".cython.score-36 {background-color: #FFFF37;}\\n\",\n       \".cython.score-37 {background-color: #FFFF36;}\\n\",\n       \".cython.score-38 {background-color: #FFFF35;}\\n\",\n       \".cython.score-39 {background-color: #FFFF34;}\\n\",\n       \".cython.score-40 {background-color: #FFFF33;}\\n\",\n       \".cython.score-41 {background-color: #FFFF32;}\\n\",\n       \".cython.score-42 {background-color: #FFFF31;}\\n\",\n       \".cython.score-43 {background-color: #FFFF30;}\\n\",\n       \".cython.score-44 {background-color: #FFFF2f;}\\n\",\n       \".cython.score-45 {background-color: #FFFF2e;}\\n\",\n       \".cython.score-46 {background-color: #FFFF2d;}\\n\",\n       \".cython.score-47 {background-color: #FFFF2c;}\\n\",\n       \".cython.score-48 {background-color: #FFFF2b;}\\n\",\n       \".cython.score-49 {background-color: #FFFF2b;}\\n\",\n       \".cython.score-50 {background-color: #FFFF2a;}\\n\",\n       \".cython.score-51 {background-color: #FFFF29;}\\n\",\n       \".cython.score-52 {background-color: #FFFF29;}\\n\",\n       \".cython.score-53 {background-color: #FFFF28;}\\n\",\n       \".cython.score-54 {background-color: #FFFF27;}\\n\",\n       \".cython.score-55 {background-color: #FFFF27;}\\n\",\n       \".cython.score-56 {background-color: #FFFF26;}\\n\",\n       \".cython.score-57 {background-color: #FFFF26;}\\n\",\n       \".cython.score-58 {background-color: #FFFF25;}\\n\",\n       \".cython.score-59 {background-color: #FFFF24;}\\n\",\n       \".cython.score-60 {background-color: #FFFF24;}\\n\",\n       \".cython.score-61 {background-color: #FFFF23;}\\n\",\n       \".cython.score-62 {background-color: #FFFF23;}\\n\",\n       \".cython.score-63 {background-color: #FFFF22;}\\n\",\n       \".cython.score-64 {background-color: #FFFF22;}\\n\",\n       \".cython.score-65 {background-color: #FFFF22;}\\n\",\n       \".cython.score-66 {background-color: #FFFF21;}\\n\",\n       \".cython.score-67 {background-color: #FFFF21;}\\n\",\n       \".cython.score-68 {background-color: #FFFF20;}\\n\",\n       \".cython.score-69 {background-color: #FFFF20;}\\n\",\n       \".cython.score-70 {background-color: #FFFF1f;}\\n\",\n       \".cython.score-71 {background-color: #FFFF1f;}\\n\",\n       \".cython.score-72 {background-color: #FFFF1f;}\\n\",\n       \".cython.score-73 {background-color: #FFFF1e;}\\n\",\n       \".cython.score-74 {background-color: #FFFF1e;}\\n\",\n       \".cython.score-75 {background-color: #FFFF1e;}\\n\",\n       \".cython.score-76 {background-color: #FFFF1d;}\\n\",\n       \".cython.score-77 {background-color: #FFFF1d;}\\n\",\n       \".cython.score-78 {background-color: #FFFF1c;}\\n\",\n       \".cython.score-79 {background-color: #FFFF1c;}\\n\",\n       \".cython.score-80 {background-color: #FFFF1c;}\\n\",\n       \".cython.score-81 {background-color: #FFFF1c;}\\n\",\n       \".cython.score-82 {background-color: #FFFF1b;}\\n\",\n       \".cython.score-83 {background-color: #FFFF1b;}\\n\",\n       \".cython.score-84 {background-color: #FFFF1b;}\\n\",\n       \".cython.score-85 {background-color: #FFFF1a;}\\n\",\n       \".cython.score-86 {background-color: #FFFF1a;}\\n\",\n       \".cython.score-87 {background-color: #FFFF1a;}\\n\",\n       \".cython.score-88 {background-color: #FFFF1a;}\\n\",\n       \".cython.score-89 {background-color: #FFFF19;}\\n\",\n       \".cython.score-90 {background-color: #FFFF19;}\\n\",\n       \".cython.score-91 {background-color: #FFFF19;}\\n\",\n       \".cython.score-92 {background-color: #FFFF19;}\\n\",\n       \".cython.score-93 {background-color: #FFFF18;}\\n\",\n       \".cython.score-94 {background-color: #FFFF18;}\\n\",\n       \".cython.score-95 {background-color: #FFFF18;}\\n\",\n       \".cython.score-96 {background-color: #FFFF18;}\\n\",\n       \".cython.score-97 {background-color: #FFFF17;}\\n\",\n       \".cython.score-98 {background-color: #FFFF17;}\\n\",\n       \".cython.score-99 {background-color: #FFFF17;}\\n\",\n       \".cython.score-100 {background-color: #FFFF17;}\\n\",\n       \".cython.score-101 {background-color: #FFFF16;}\\n\",\n       \".cython.score-102 {background-color: #FFFF16;}\\n\",\n       \".cython.score-103 {background-color: #FFFF16;}\\n\",\n       \".cython.score-104 {background-color: #FFFF16;}\\n\",\n       \".cython.score-105 {background-color: #FFFF16;}\\n\",\n       \".cython.score-106 {background-color: #FFFF15;}\\n\",\n       \".cython.score-107 {background-color: #FFFF15;}\\n\",\n       \".cython.score-108 {background-color: #FFFF15;}\\n\",\n       \".cython.score-109 {background-color: #FFFF15;}\\n\",\n       \".cython.score-110 {background-color: #FFFF15;}\\n\",\n       \".cython.score-111 {background-color: #FFFF15;}\\n\",\n       \".cython.score-112 {background-color: #FFFF14;}\\n\",\n       \".cython.score-113 {background-color: #FFFF14;}\\n\",\n       \".cython.score-114 {background-color: #FFFF14;}\\n\",\n       \".cython.score-115 {background-color: #FFFF14;}\\n\",\n       \".cython.score-116 {background-color: #FFFF14;}\\n\",\n       \".cython.score-117 {background-color: #FFFF14;}\\n\",\n       \".cython.score-118 {background-color: #FFFF13;}\\n\",\n       \".cython.score-119 {background-color: #FFFF13;}\\n\",\n       \".cython.score-120 {background-color: #FFFF13;}\\n\",\n       \".cython.score-121 {background-color: #FFFF13;}\\n\",\n       \".cython.score-122 {background-color: #FFFF13;}\\n\",\n       \".cython.score-123 {background-color: #FFFF13;}\\n\",\n       \".cython.score-124 {background-color: #FFFF13;}\\n\",\n       \".cython.score-125 {background-color: #FFFF12;}\\n\",\n       \".cython.score-126 {background-color: #FFFF12;}\\n\",\n       \".cython.score-127 {background-color: #FFFF12;}\\n\",\n       \".cython.score-128 {background-color: #FFFF12;}\\n\",\n       \".cython.score-129 {background-color: #FFFF12;}\\n\",\n       \".cython.score-130 {background-color: #FFFF12;}\\n\",\n       \".cython.score-131 {background-color: #FFFF12;}\\n\",\n       \".cython.score-132 {background-color: #FFFF11;}\\n\",\n       \".cython.score-133 {background-color: #FFFF11;}\\n\",\n       \".cython.score-134 {background-color: #FFFF11;}\\n\",\n       \".cython.score-135 {background-color: #FFFF11;}\\n\",\n       \".cython.score-136 {background-color: #FFFF11;}\\n\",\n       \".cython.score-137 {background-color: #FFFF11;}\\n\",\n       \".cython.score-138 {background-color: #FFFF11;}\\n\",\n       \".cython.score-139 {background-color: #FFFF11;}\\n\",\n       \".cython.score-140 {background-color: #FFFF11;}\\n\",\n       \".cython.score-141 {background-color: #FFFF10;}\\n\",\n       \".cython.score-142 {background-color: #FFFF10;}\\n\",\n       \".cython.score-143 {background-color: #FFFF10;}\\n\",\n       \".cython.score-144 {background-color: #FFFF10;}\\n\",\n       \".cython.score-145 {background-color: #FFFF10;}\\n\",\n       \".cython.score-146 {background-color: #FFFF10;}\\n\",\n       \".cython.score-147 {background-color: #FFFF10;}\\n\",\n       \".cython.score-148 {background-color: #FFFF10;}\\n\",\n       \".cython.score-149 {background-color: #FFFF10;}\\n\",\n       \".cython.score-150 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-151 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-152 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-153 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-154 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-155 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-156 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-157 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-158 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-159 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-160 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-161 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-162 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-163 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-164 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-165 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-166 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-167 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-168 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-169 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-170 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-171 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-172 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-173 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-174 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-175 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-176 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-177 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-178 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-179 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-180 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-181 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-182 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-183 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-184 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-185 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-186 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-187 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-188 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-189 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-190 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-191 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-192 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-193 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-194 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-195 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-196 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-197 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-198 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-199 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-200 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-201 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-202 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-203 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-204 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-205 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-206 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-207 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-208 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-209 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-210 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-211 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-212 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-213 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-214 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-215 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-216 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-217 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-218 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-219 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-220 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-221 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-222 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-223 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-224 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-225 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-226 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-227 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-228 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-229 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-230 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-231 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-232 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-233 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-234 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-235 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-236 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-237 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-238 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-239 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-240 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-241 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-242 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-243 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-244 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-245 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-246 {background-color: #FFFF09;}\\n\",\n       \".cython.score-247 {background-color: #FFFF09;}\\n\",\n       \".cython.score-248 {background-color: #FFFF09;}\\n\",\n       \".cython.score-249 {background-color: #FFFF09;}\\n\",\n       \".cython.score-250 {background-color: #FFFF09;}\\n\",\n       \".cython.score-251 {background-color: #FFFF09;}\\n\",\n       \".cython.score-252 {background-color: #FFFF09;}\\n\",\n       \".cython.score-253 {background-color: #FFFF09;}\\n\",\n       \".cython.score-254 {background-color: #FFFF09;}\\n\",\n       \".cython .hll { background-color: #ffffcc }\\n\",\n       \".cython  { background: #f8f8f8; }\\n\",\n       \".cython .c { color: #408080; font-style: italic } /* Comment */\\n\",\n       \".cython .err { border: 1px solid #FF0000 } /* Error */\\n\",\n       \".cython .k { color: #008000; font-weight: bold } /* Keyword */\\n\",\n       \".cython .o { color: #666666 } /* Operator */\\n\",\n       \".cython .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n\",\n       \".cython .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n\",\n       \".cython .cp { color: #BC7A00 } /* Comment.Preproc */\\n\",\n       \".cython .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n\",\n       \".cython .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n\",\n       \".cython .cs { color: #408080; font-style: italic } /* Comment.Special */\\n\",\n       \".cython .gd { color: #A00000 } /* Generic.Deleted */\\n\",\n       \".cython .ge { font-style: italic } /* Generic.Emph */\\n\",\n       \".cython .gr { color: #FF0000 } /* Generic.Error */\\n\",\n       \".cython .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n\",\n       \".cython .gi { color: #00A000 } /* Generic.Inserted */\\n\",\n       \".cython .go { color: #888888 } /* Generic.Output */\\n\",\n       \".cython .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n\",\n       \".cython .gs { font-weight: bold } /* Generic.Strong */\\n\",\n       \".cython .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n\",\n       \".cython .gt { color: #0044DD } /* Generic.Traceback */\\n\",\n       \".cython .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n\",\n       \".cython .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n\",\n       \".cython .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n\",\n       \".cython .kp { color: #008000 } /* Keyword.Pseudo */\\n\",\n       \".cython .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n\",\n       \".cython .kt { color: #B00040 } /* Keyword.Type */\\n\",\n       \".cython .m { color: #666666 } /* Literal.Number */\\n\",\n       \".cython .s { color: #BA2121 } /* Literal.String */\\n\",\n       \".cython .na { color: #7D9029 } /* Name.Attribute */\\n\",\n       \".cython .nb { color: #008000 } /* Name.Builtin */\\n\",\n       \".cython .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n\",\n       \".cython .no { color: #880000 } /* Name.Constant */\\n\",\n       \".cython .nd { color: #AA22FF } /* Name.Decorator */\\n\",\n       \".cython .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n\",\n       \".cython .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n\",\n       \".cython .nf { color: #0000FF } /* Name.Function */\\n\",\n       \".cython .nl { color: #A0A000 } /* Name.Label */\\n\",\n       \".cython .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n\",\n       \".cython .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n\",\n       \".cython .nv { color: #19177C } /* Name.Variable */\\n\",\n       \".cython .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n\",\n       \".cython .w { color: #bbbbbb } /* Text.Whitespace */\\n\",\n       \".cython .mb { color: #666666 } /* Literal.Number.Bin */\\n\",\n       \".cython .mf { color: #666666 } /* Literal.Number.Float */\\n\",\n       \".cython .mh { color: #666666 } /* Literal.Number.Hex */\\n\",\n       \".cython .mi { color: #666666 } /* Literal.Number.Integer */\\n\",\n       \".cython .mo { color: #666666 } /* Literal.Number.Oct */\\n\",\n       \".cython .sa { color: #BA2121 } /* Literal.String.Affix */\\n\",\n       \".cython .sb { color: #BA2121 } /* Literal.String.Backtick */\\n\",\n       \".cython .sc { color: #BA2121 } /* Literal.String.Char */\\n\",\n       \".cython .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n\",\n       \".cython .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n\",\n       \".cython .s2 { color: #BA2121 } /* Literal.String.Double */\\n\",\n       \".cython .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n\",\n       \".cython .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n\",\n       \".cython .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n\",\n       \".cython .sx { color: #008000 } /* Literal.String.Other */\\n\",\n       \".cython .sr { color: #BB6688 } /* Literal.String.Regex */\\n\",\n       \".cython .s1 { color: #BA2121 } /* Literal.String.Single */\\n\",\n       \".cython .ss { color: #19177C } /* Literal.String.Symbol */\\n\",\n       \".cython .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n\",\n       \".cython .fm { color: #0000FF } /* Name.Function.Magic */\\n\",\n       \".cython .vc { color: #19177C } /* Name.Variable.Class */\\n\",\n       \".cython .vg { color: #19177C } /* Name.Variable.Global */\\n\",\n       \".cython .vi { color: #19177C } /* Name.Variable.Instance */\\n\",\n       \".cython .vm { color: #19177C } /* Name.Variable.Magic */\\n\",\n       \".cython .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\",\n       \"    </style>\\n\",\n       \"</head>\\n\",\n       \"<body class=\\\"cython\\\">\\n\",\n       \"<p><span style=\\\"border-bottom: solid 1px grey;\\\">Generated by Cython 3.0.11</span></p>\\n\",\n       \"<p>\\n\",\n       \"    <span style=\\\"background-color: #FFFF00\\\">Yellow lines</span> hint at Python interaction.<br />\\n\",\n       \"    Click on a line that starts with a \\\"<code>+</code>\\\" to see the C code that Cython generated for it.\\n\",\n       \"</p>\\n\",\n       \"<div class=\\\"cython\\\"><pre class=\\\"cython line score-8\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">01</span>: <span class=\\\"k\\\">cimport</span> <span class=\\\"nn\\\">numpy</span></pre>\\n\",\n       \"<pre class='cython code score-8 '>  __pyx_t_4 = <span class='pyx_c_api'>__Pyx_PyDict_NewPresized</span>(0);<span class='error_goto'> if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_4);\\n\",\n       \"  if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_d, __pyx_n_s_test, __pyx_t_4) &lt; 0) <span class='error_goto'>__PYX_ERR(0, 1, __pyx_L1_error)</span>\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_4); __pyx_t_4 = 0;\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">02</span>: <span class=\\\"k\\\">cimport</span> <span class=\\\"nn\\\">cython</span></pre>\\n\",\n       \"<pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">03</span>: </pre>\\n\",\n       \"<pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">04</span>: <span class=\\\"k\\\">ctypedef</span> <span class=\\\"k\\\">fused</span> <span class=\\\"n\\\">I_OR_F_t</span><span class=\\\"p\\\">:</span></pre>\\n\",\n       \"<pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">05</span>:     <span class=\\\"n\\\">numpy</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">int64_t</span></pre>\\n\",\n       \"<pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">06</span>:     <span class=\\\"n\\\">numpy</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">float64_t</span></pre>\\n\",\n       \"<pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">07</span>: </pre>\\n\",\n       \"<pre class=\\\"cython line score-715\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">08</span>: <span class=\\\"nd\\\">@cython</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">boundscheck</span><span class=\\\"p\\\">(</span><span class=\\\"bp\\\">False</span><span class=\\\"p\\\">)</span></pre>\\n\",\n       \"<pre class='cython code score-715 '>/* Python wrapper */\\n\",\n       \"static PyObject *__pyx_pw_54_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d_1cy_fused_sum(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/\\n\",\n       \"static PyMethodDef __pyx_mdef_54_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d_1cy_fused_sum = {\\\"cy_fused_sum\\\", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_pw_54_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d_1cy_fused_sum, METH_VARARGS|METH_KEYWORDS, 0};\\n\",\n       \"static PyObject *__pyx_pw_54_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d_1cy_fused_sum(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {\\n\",\n       \"  PyObject *__pyx_v_signatures = 0;\\n\",\n       \"  PyObject *__pyx_v_args = 0;\\n\",\n       \"  PyObject *__pyx_v_kwargs = 0;\\n\",\n       \"  CYTHON_UNUSED PyObject *__pyx_v_defaults = 0;\\n\",\n       \"  PyObject *__pyx_v__fused_sigindex = 0;\\n\",\n       \"  CYTHON_UNUSED Py_ssize_t __pyx_nargs;\\n\",\n       \"  CYTHON_UNUSED PyObject *const *__pyx_kwvalues;\\n\",\n       \"  PyObject *__pyx_r = 0;\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyDeclarations</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannySetupContext</span>(\\\"__pyx_fused_cpdef (wrapper)\\\", 0);\\n\",\n       \"  #if CYTHON_ASSUME_SAFE_MACROS\\n\",\n       \"  __pyx_nargs = <span class='py_macro_api'>PyTuple_GET_SIZE</span>(__pyx_args);\\n\",\n       \"  #else\\n\",\n       \"  __pyx_nargs = <span class='py_c_api'>PyTuple_Size</span>(__pyx_args); if (unlikely(__pyx_nargs &lt; 0)) return NULL;\\n\",\n       \"  #endif\\n\",\n       \"  __pyx_kwvalues = <span class='pyx_c_api'>__Pyx_KwValues_VARARGS</span>(__pyx_args, __pyx_nargs);\\n\",\n       \"  {\\n\",\n       \"    PyObject **__pyx_pyargnames[] = {&amp;__pyx_n_s_signatures,&amp;__pyx_n_s_args,&amp;__pyx_n_s_kwargs,&amp;__pyx_n_s_defaults,&amp;__pyx_n_s_fused_sigindex,0};\\n\",\n       \"  PyObject* values[5] = {0,0,0,0,0};\\n\",\n       \"    __pyx_defaults *__pyx_dynamic_args = <span class='pyx_c_api'>__Pyx_CyFunction_Defaults</span>(__pyx_defaults, __pyx_self);\\n\",\n       \"    values[4] = <span class='pyx_c_api'>__Pyx_Arg_NewRef_VARARGS</span>(__pyx_dynamic_args-&gt;__pyx_arg__fused_sigindex);\\n\",\n       \"    if (__pyx_kwds) {\\n\",\n       \"      Py_ssize_t kw_args;\\n\",\n       \"      switch (__pyx_nargs) {\\n\",\n       \"        case  5: values[4] = <span class='pyx_c_api'>__Pyx_Arg_VARARGS</span>(__pyx_args, 4);\\n\",\n       \"        CYTHON_FALLTHROUGH;\\n\",\n       \"        case  4: values[3] = <span class='pyx_c_api'>__Pyx_Arg_VARARGS</span>(__pyx_args, 3);\\n\",\n       \"        CYTHON_FALLTHROUGH;\\n\",\n       \"        case  3: values[2] = <span class='pyx_c_api'>__Pyx_Arg_VARARGS</span>(__pyx_args, 2);\\n\",\n       \"        CYTHON_FALLTHROUGH;\\n\",\n       \"        case  2: values[1] = <span class='pyx_c_api'>__Pyx_Arg_VARARGS</span>(__pyx_args, 1);\\n\",\n       \"        CYTHON_FALLTHROUGH;\\n\",\n       \"        case  1: values[0] = <span class='pyx_c_api'>__Pyx_Arg_VARARGS</span>(__pyx_args, 0);\\n\",\n       \"        CYTHON_FALLTHROUGH;\\n\",\n       \"        case  0: break;\\n\",\n       \"        default: goto __pyx_L5_argtuple_error;\\n\",\n       \"      }\\n\",\n       \"      kw_args = <span class='pyx_c_api'>__Pyx_NumKwargs_VARARGS</span>(__pyx_kwds);\\n\",\n       \"      switch (__pyx_nargs) {\\n\",\n       \"        case  0:\\n\",\n       \"        if (likely((values[0] = <span class='pyx_c_api'>__Pyx_GetKwValue_VARARGS</span>(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_signatures)) != 0)) {\\n\",\n       \"          (void)<span class='pyx_c_api'>__Pyx_Arg_NewRef_VARARGS</span>(values[0]);\\n\",\n       \"          kw_args--;\\n\",\n       \"        }\\n\",\n       \"        else if (unlikely(<span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L3_error)</span>\\n\",\n       \"        else goto __pyx_L5_argtuple_error;\\n\",\n       \"        CYTHON_FALLTHROUGH;\\n\",\n       \"        case  1:\\n\",\n       \"        if (likely((values[1] = <span class='pyx_c_api'>__Pyx_GetKwValue_VARARGS</span>(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_args)) != 0)) {\\n\",\n       \"          (void)<span class='pyx_c_api'>__Pyx_Arg_NewRef_VARARGS</span>(values[1]);\\n\",\n       \"          kw_args--;\\n\",\n       \"        }\\n\",\n       \"        else if (unlikely(<span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L3_error)</span>\\n\",\n       \"        else {\\n\",\n       \"          <span class='pyx_c_api'>__Pyx_RaiseArgtupleInvalid</span>(\\\"__pyx_fused_cpdef\\\", 0, 4, 5, 1); <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L3_error)</span>\\n\",\n       \"        }\\n\",\n       \"        CYTHON_FALLTHROUGH;\\n\",\n       \"        case  2:\\n\",\n       \"        if (likely((values[2] = <span class='pyx_c_api'>__Pyx_GetKwValue_VARARGS</span>(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_kwargs)) != 0)) {\\n\",\n       \"          (void)<span class='pyx_c_api'>__Pyx_Arg_NewRef_VARARGS</span>(values[2]);\\n\",\n       \"          kw_args--;\\n\",\n       \"        }\\n\",\n       \"        else if (unlikely(<span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L3_error)</span>\\n\",\n       \"        else {\\n\",\n       \"          <span class='pyx_c_api'>__Pyx_RaiseArgtupleInvalid</span>(\\\"__pyx_fused_cpdef\\\", 0, 4, 5, 2); <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L3_error)</span>\\n\",\n       \"        }\\n\",\n       \"        CYTHON_FALLTHROUGH;\\n\",\n       \"        case  3:\\n\",\n       \"        if (likely((values[3] = <span class='pyx_c_api'>__Pyx_GetKwValue_VARARGS</span>(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_defaults)) != 0)) {\\n\",\n       \"          (void)<span class='pyx_c_api'>__Pyx_Arg_NewRef_VARARGS</span>(values[3]);\\n\",\n       \"          kw_args--;\\n\",\n       \"        }\\n\",\n       \"        else if (unlikely(<span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L3_error)</span>\\n\",\n       \"        else {\\n\",\n       \"          <span class='pyx_c_api'>__Pyx_RaiseArgtupleInvalid</span>(\\\"__pyx_fused_cpdef\\\", 0, 4, 5, 3); <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L3_error)</span>\\n\",\n       \"        }\\n\",\n       \"        CYTHON_FALLTHROUGH;\\n\",\n       \"        case  4:\\n\",\n       \"        if (kw_args &gt; 0) {\\n\",\n       \"          PyObject* value = <span class='pyx_c_api'>__Pyx_GetKwValue_VARARGS</span>(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_fused_sigindex);\\n\",\n       \"          if (value) { values[4] = <span class='pyx_c_api'>__Pyx_Arg_NewRef_VARARGS</span>(value); kw_args--; }\\n\",\n       \"          else if (unlikely(<span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L3_error)</span>\\n\",\n       \"        }\\n\",\n       \"      }\\n\",\n       \"      if (unlikely(kw_args &gt; 0)) {\\n\",\n       \"        const Py_ssize_t kwd_pos_args = __pyx_nargs;\\n\",\n       \"        if (unlikely(<span class='pyx_c_api'>__Pyx_ParseOptionalKeywords</span>(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values + 0, kwd_pos_args, \\\"__pyx_fused_cpdef\\\") &lt; 0)) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L3_error)</span>\\n\",\n       \"      }\\n\",\n       \"    } else {\\n\",\n       \"      switch (__pyx_nargs) {\\n\",\n       \"        case  5: values[4] = <span class='pyx_c_api'>__Pyx_Arg_VARARGS</span>(__pyx_args, 4);\\n\",\n       \"        CYTHON_FALLTHROUGH;\\n\",\n       \"        case  4: values[3] = <span class='pyx_c_api'>__Pyx_Arg_VARARGS</span>(__pyx_args, 3);\\n\",\n       \"        values[2] = <span class='pyx_c_api'>__Pyx_Arg_VARARGS</span>(__pyx_args, 2);\\n\",\n       \"        values[1] = <span class='pyx_c_api'>__Pyx_Arg_VARARGS</span>(__pyx_args, 1);\\n\",\n       \"        values[0] = <span class='pyx_c_api'>__Pyx_Arg_VARARGS</span>(__pyx_args, 0);\\n\",\n       \"        break;\\n\",\n       \"        default: goto __pyx_L5_argtuple_error;\\n\",\n       \"      }\\n\",\n       \"    }\\n\",\n       \"    __pyx_v_signatures = values[0];\\n\",\n       \"    __pyx_v_args = values[1];\\n\",\n       \"    __pyx_v_kwargs = values[2];\\n\",\n       \"    __pyx_v_defaults = values[3];\\n\",\n       \"    __pyx_v__fused_sigindex = values[4];\\n\",\n       \"  }\\n\",\n       \"  goto __pyx_L6_skip;\\n\",\n       \"  __pyx_L5_argtuple_error:;\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_RaiseArgtupleInvalid</span>(\\\"__pyx_fused_cpdef\\\", 0, 4, 5, __pyx_nargs); <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L3_error)</span>\\n\",\n       \"  __pyx_L6_skip:;\\n\",\n       \"  goto __pyx_L4_argument_unpacking_done;\\n\",\n       \"  __pyx_L3_error:;\\n\",\n       \"  {\\n\",\n       \"    Py_ssize_t __pyx_temp;\\n\",\n       \"    for (__pyx_temp=0; __pyx_temp &lt; (Py_ssize_t)(sizeof(values)/sizeof(values[0])); ++__pyx_temp) {\\n\",\n       \"      <span class='pyx_c_api'>__Pyx_Arg_XDECREF_VARARGS</span>(values[__pyx_temp]);\\n\",\n       \"    }\\n\",\n       \"  }\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_AddTraceback</span>(\\\"_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d.__pyx_fused_cpdef\\\", __pyx_clineno, __pyx_lineno, __pyx_filename);\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return NULL;\\n\",\n       \"  __pyx_L4_argument_unpacking_done:;\\n\",\n       \"  __pyx_r = __pyx_pf_54_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d_cy_fused_sum(__pyx_self, __pyx_v_signatures, __pyx_v_args, __pyx_v_kwargs, __pyx_v_defaults, __pyx_v__fused_sigindex);\\n\",\n       \"  int __pyx_lineno = 0;\\n\",\n       \"  const char *__pyx_filename = NULL;\\n\",\n       \"  int __pyx_clineno = 0;\\n\",\n       \"\\n\",\n       \"  /* function exit code */\\n\",\n       \"  {\\n\",\n       \"    Py_ssize_t __pyx_temp;\\n\",\n       \"    for (__pyx_temp=0; __pyx_temp &lt; (Py_ssize_t)(sizeof(values)/sizeof(values[0])); ++__pyx_temp) {\\n\",\n       \"      <span class='pyx_c_api'>__Pyx_Arg_XDECREF_VARARGS</span>(values[__pyx_temp]);\\n\",\n       \"    }\\n\",\n       \"  }\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return __pyx_r;\\n\",\n       \"}\\n\",\n       \"\\n\",\n       \"static PyObject *__pyx_pf_54_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d_cy_fused_sum(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_signatures, PyObject *__pyx_v_args, PyObject *__pyx_v_kwargs, CYTHON_UNUSED PyObject *__pyx_v_defaults, PyObject *__pyx_v__fused_sigindex) {\\n\",\n       \"  PyObject *__pyx_v_search_list = 0;\\n\",\n       \"  PyObject *__pyx_v_sigindex_node = 0;\\n\",\n       \"  PyObject *__pyx_v_dest_sig = NULL;\\n\",\n       \"  PyTypeObject *__pyx_v_ndarray = 0;\\n\",\n       \"  PyObject *__pyx_v_arg_as_memoryview = 0;\\n\",\n       \"  __Pyx_memviewslice __pyx_v_memslice;\\n\",\n       \"  Py_ssize_t __pyx_v_itemsize;\\n\",\n       \"  int __pyx_v_dtype_signed;\\n\",\n       \"  Py_UCS4 __pyx_v_kind;\\n\",\n       \"  int __pyx_v___pyx_fused_dtype_int64__t_is_signed;\\n\",\n       \"  PyObject *__pyx_v_arg = NULL;\\n\",\n       \"  PyObject *__pyx_v_dtype = NULL;\\n\",\n       \"  PyObject *__pyx_v_arg_base = NULL;\\n\",\n       \"  PyObject *__pyx_v_sig = NULL;\\n\",\n       \"  PyObject *__pyx_v_sig_series = NULL;\\n\",\n       \"  PyObject *__pyx_v_last_type = NULL;\\n\",\n       \"  PyObject *__pyx_v_sig_type = NULL;\\n\",\n       \"  PyObject *__pyx_v_sigindex_matches = NULL;\\n\",\n       \"  PyObject *__pyx_v_sigindex_candidates = NULL;\\n\",\n       \"  PyObject *__pyx_v_dst_type = NULL;\\n\",\n       \"  PyObject *__pyx_v_found_matches = NULL;\\n\",\n       \"  PyObject *__pyx_v_found_candidates = NULL;\\n\",\n       \"  PyObject *__pyx_v_sn = NULL;\\n\",\n       \"  PyObject *__pyx_v_type_match = NULL;\\n\",\n       \"  PyObject *__pyx_v_candidates = NULL;\\n\",\n       \"  PyObject *__pyx_r = NULL;\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_v_kwargs);\\n\",\n       \"  __pyx_t_1 = <span class='py_c_api'>PyList_New</span>(1);<span class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_1);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_INCREF</span>(Py_None);\\n\",\n       \"  <span class='refnanny'>__Pyx_GIVEREF</span>(Py_None);\\n\",\n       \"  if (<span class='pyx_c_api'>__Pyx_PyList_SET_ITEM</span>(__pyx_t_1, 0, Py_None)) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>;\\n\",\n       \"  __pyx_v_dest_sig = ((PyObject*)__pyx_t_1);\\n\",\n       \"  __pyx_t_1 = 0;\\n\",\n       \"  __pyx_t_3 = (__pyx_v_kwargs != Py_None);\\n\",\n       \"  if (__pyx_t_3) {\\n\",\n       \"  } else {\\n\",\n       \"    __pyx_t_2 = __pyx_t_3;\\n\",\n       \"    goto __pyx_L4_bool_binop_done;\\n\",\n       \"  }\\n\",\n       \"  __pyx_t_3 = <span class='pyx_c_api'>__Pyx_PyObject_IsTrue</span>(__pyx_v_kwargs); if (unlikely((__pyx_t_3 &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  __pyx_t_4 = (!__pyx_t_3);\\n\",\n       \"  __pyx_t_2 = __pyx_t_4;\\n\",\n       \"  __pyx_L4_bool_binop_done:;\\n\",\n       \"  if (__pyx_t_2) {\\n\",\n       \"    <span class='pyx_macro_api'>__Pyx_INCREF</span>(Py_None);\\n\",\n       \"    <span class='pyx_macro_api'>__Pyx_DECREF_SET</span>(__pyx_v_kwargs, Py_None);\\n\",\n       \"  }\\n\",\n       \"  __pyx_t_1 = ((PyObject *)<span class='pyx_c_api'>__Pyx_ImportNumPyArrayTypeIfAvailable</span>());<span class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_1);\\n\",\n       \"  __pyx_v_ndarray = ((PyTypeObject*)__pyx_t_1);\\n\",\n       \"  __pyx_t_1 = 0;\\n\",\n       \"  __pyx_v_itemsize = -1L;\\n\",\n       \"  __pyx_v___pyx_fused_dtype_int64__t_is_signed = (!(((__pyx_t_5numpy_int64_t)-1L) &gt; 0));\\n\",\n       \"  if (unlikely(__pyx_v_args == Py_None)) {\\n\",\n       \"    <span class='py_c_api'>PyErr_SetString</span>(PyExc_TypeError, \\\"object of type 'NoneType' has no len()\\\");\\n\",\n       \"    <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  }\\n\",\n       \"  __pyx_t_5 = <span class='pyx_c_api'>__Pyx_PyTuple_GET_SIZE</span>(((PyObject*)__pyx_v_args));<span class='error_goto'> if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  __pyx_t_2 = (0 &lt; __pyx_t_5);\\n\",\n       \"  if (__pyx_t_2) {\\n\",\n       \"    if (unlikely(__pyx_v_args == Py_None)) {\\n\",\n       \"      <span class='py_c_api'>PyErr_SetString</span>(PyExc_TypeError, \\\"'NoneType' object is not subscriptable\\\");\\n\",\n       \"      <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"    }\\n\",\n       \"    __pyx_t_1 = <span class='py_macro_api'>PyTuple_GET_ITEM</span>(((PyObject*)__pyx_v_args), 0);\\n\",\n       \"    <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_1);\\n\",\n       \"    __pyx_v_arg = __pyx_t_1;\\n\",\n       \"    __pyx_t_1 = 0;\\n\",\n       \"    goto __pyx_L6;\\n\",\n       \"  }\\n\",\n       \"  __pyx_t_4 = (__pyx_v_kwargs != Py_None);\\n\",\n       \"  if (__pyx_t_4) {\\n\",\n       \"  } else {\\n\",\n       \"    __pyx_t_2 = __pyx_t_4;\\n\",\n       \"    goto __pyx_L7_bool_binop_done;\\n\",\n       \"  }\\n\",\n       \"  if (unlikely(__pyx_v_kwargs == Py_None)) {\\n\",\n       \"    <span class='py_c_api'>PyErr_SetString</span>(PyExc_TypeError, \\\"'NoneType' object is not iterable\\\");\\n\",\n       \"    <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  }\\n\",\n       \"  __pyx_t_4 = (<span class='pyx_c_api'>__Pyx_PyDict_ContainsTF</span>(__pyx_n_s_data, ((PyObject*)__pyx_v_kwargs), Py_EQ)); if (unlikely((__pyx_t_4 &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  __pyx_t_2 = __pyx_t_4;\\n\",\n       \"  __pyx_L7_bool_binop_done:;\\n\",\n       \"  if (likely(__pyx_t_2)) {\\n\",\n       \"    if (unlikely(__pyx_v_kwargs == Py_None)) {\\n\",\n       \"      <span class='py_c_api'>PyErr_SetString</span>(PyExc_TypeError, \\\"'NoneType' object is not subscriptable\\\");\\n\",\n       \"      <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"    }\\n\",\n       \"    __pyx_t_1 = <span class='pyx_c_api'>__Pyx_PyDict_GetItem</span>(((PyObject*)__pyx_v_kwargs), __pyx_n_s_data);<span class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"    <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_1);\\n\",\n       \"    __pyx_v_arg = __pyx_t_1;\\n\",\n       \"    __pyx_t_1 = 0;\\n\",\n       \"    goto __pyx_L6;\\n\",\n       \"  }\\n\",\n       \"  /*else*/ {\\n\",\n       \"    if (unlikely(__pyx_v_args == Py_None)) {\\n\",\n       \"      <span class='py_c_api'>PyErr_SetString</span>(PyExc_TypeError, \\\"object of type 'NoneType' has no len()\\\");\\n\",\n       \"      <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"    }\\n\",\n       \"    __pyx_t_5 = <span class='pyx_c_api'>__Pyx_PyTuple_GET_SIZE</span>(((PyObject*)__pyx_v_args));<span class='error_goto'> if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1))) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"    __pyx_t_1 = <span class='py_c_api'>PyInt_FromSsize_t</span>(__pyx_t_5);<span class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"    <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_1);\\n\",\n       \"    __pyx_t_6 = <span class='py_c_api'>PyTuple_New</span>(3);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"    <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6);\\n\",\n       \"    <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_int_1);\\n\",\n       \"    <span class='refnanny'>__Pyx_GIVEREF</span>(__pyx_int_1);\\n\",\n       \"    if (<span class='pyx_c_api'>__Pyx_PyTuple_SET_ITEM</span>(__pyx_t_6, 0, __pyx_int_1)) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>;\\n\",\n       \"    <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_kp_s__11);\\n\",\n       \"    <span class='refnanny'>__Pyx_GIVEREF</span>(__pyx_kp_s__11);\\n\",\n       \"    if (<span class='pyx_c_api'>__Pyx_PyTuple_SET_ITEM</span>(__pyx_t_6, 1, __pyx_kp_s__11)) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>;\\n\",\n       \"    <span class='refnanny'>__Pyx_GIVEREF</span>(__pyx_t_1);\\n\",\n       \"    if (<span class='pyx_c_api'>__Pyx_PyTuple_SET_ITEM</span>(__pyx_t_6, 2, __pyx_t_1)) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>;\\n\",\n       \"    __pyx_t_1 = 0;\\n\",\n       \"    __pyx_t_1 = <span class='pyx_c_api'>__Pyx_PyString_Format</span>(__pyx_kp_s_Expected_at_least_d_argument_s_g, __pyx_t_6);<span class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"    <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_1);\\n\",\n       \"    <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_6); __pyx_t_6 = 0;\\n\",\n       \"    __pyx_t_6 = <span class='pyx_c_api'>__Pyx_PyObject_CallOneArg</span>(__pyx_builtin_TypeError, __pyx_t_1);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"    <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6);\\n\",\n       \"    <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_1); __pyx_t_1 = 0;\\n\",\n       \"    <span class='pyx_c_api'>__Pyx_Raise</span>(__pyx_t_6, 0, 0, 0);\\n\",\n       \"    <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_6); __pyx_t_6 = 0;\\n\",\n       \"    <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  }\\n\",\n       \"  __pyx_L6:;\\n\",\n       \"  while (1) {\\n\",\n       \"    __pyx_t_2 = (__pyx_v_ndarray != ((PyTypeObject*)Py_None));\\n\",\n       \"    if (__pyx_t_2) {\\n\",\n       \"      __pyx_t_2 = <span class='pyx_c_api'>__Pyx_TypeCheck</span>(__pyx_v_arg, __pyx_v_ndarray); \\n\",\n       \"      if (__pyx_t_2) {\\n\",\n       \"        __pyx_t_6 = <span class='pyx_c_api'>__Pyx_PyObject_GetAttrStr</span>(__pyx_v_arg, __pyx_n_s_dtype);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6);\\n\",\n       \"        __pyx_v_dtype = __pyx_t_6;\\n\",\n       \"        __pyx_t_6 = 0;\\n\",\n       \"        goto __pyx_L12;\\n\",\n       \"      }\\n\",\n       \"      __pyx_t_2 = __pyx_memoryview_check(__pyx_v_arg); \\n\",\n       \"      if (__pyx_t_2) {\\n\",\n       \"        __pyx_t_6 = <span class='pyx_c_api'>__Pyx_PyObject_GetAttrStr</span>(__pyx_v_arg, __pyx_n_s_base);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6);\\n\",\n       \"        __pyx_v_arg_base = __pyx_t_6;\\n\",\n       \"        __pyx_t_6 = 0;\\n\",\n       \"        __pyx_t_2 = <span class='pyx_c_api'>__Pyx_TypeCheck</span>(__pyx_v_arg_base, __pyx_v_ndarray); \\n\",\n       \"        if (__pyx_t_2) {\\n\",\n       \"          __pyx_t_6 = <span class='pyx_c_api'>__Pyx_PyObject_GetAttrStr</span>(__pyx_v_arg_base, __pyx_n_s_dtype);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"          <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6);\\n\",\n       \"          __pyx_v_dtype = __pyx_t_6;\\n\",\n       \"          __pyx_t_6 = 0;\\n\",\n       \"          goto __pyx_L13;\\n\",\n       \"        }\\n\",\n       \"        /*else*/ {\\n\",\n       \"          <span class='pyx_macro_api'>__Pyx_INCREF</span>(Py_None);\\n\",\n       \"          __pyx_v_dtype = Py_None;\\n\",\n       \"        }\\n\",\n       \"        __pyx_L13:;\\n\",\n       \"        goto __pyx_L12;\\n\",\n       \"      }\\n\",\n       \"      /*else*/ {\\n\",\n       \"        <span class='pyx_macro_api'>__Pyx_INCREF</span>(Py_None);\\n\",\n       \"        __pyx_v_dtype = Py_None;\\n\",\n       \"      }\\n\",\n       \"      __pyx_L12:;\\n\",\n       \"      __pyx_v_itemsize = -1L;\\n\",\n       \"      __pyx_t_2 = (__pyx_v_dtype != Py_None);\\n\",\n       \"      if (__pyx_t_2) {\\n\",\n       \"        __pyx_t_6 = <span class='pyx_c_api'>__Pyx_PyObject_GetAttrStr</span>(__pyx_v_dtype, __pyx_n_s_itemsize);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6);\\n\",\n       \"        __pyx_t_5 = <span class='pyx_c_api'>__Pyx_PyIndex_AsSsize_t</span>(__pyx_t_6); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) &amp;&amp; <span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_6); __pyx_t_6 = 0;\\n\",\n       \"        __pyx_v_itemsize = __pyx_t_5;\\n\",\n       \"        __pyx_t_6 = <span class='pyx_c_api'>__Pyx_PyObject_GetAttrStr</span>(__pyx_v_dtype, __pyx_n_s_kind);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6);\\n\",\n       \"        __pyx_t_7 = <span class='pyx_c_api'>__Pyx_PyObject_Ord</span>(__pyx_t_6);<span class='error_goto'> if (unlikely(__pyx_t_7 == ((long)(long)(Py_UCS4)-1))) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_6); __pyx_t_6 = 0;\\n\",\n       \"        __pyx_v_kind = __pyx_t_7;\\n\",\n       \"        __pyx_v_dtype_signed = (__pyx_v_kind == 0x69);\\n\",\n       \"        switch (__pyx_v_kind) {\\n\",\n       \"          case 0x69:\\n\",\n       \"          case 0x75:\\n\",\n       \"          __pyx_t_4 = ((sizeof(__pyx_t_5numpy_int64_t)) == __pyx_v_itemsize);\\n\",\n       \"          if (__pyx_t_4) {\\n\",\n       \"          } else {\\n\",\n       \"            __pyx_t_2 = __pyx_t_4;\\n\",\n       \"            goto __pyx_L16_bool_binop_done;\\n\",\n       \"          }\\n\",\n       \"          __pyx_t_6 = <span class='pyx_c_api'>__Pyx_PyObject_GetAttrStr</span>(__pyx_v_arg, __pyx_n_s_ndim);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"          <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6);\\n\",\n       \"          __pyx_t_5 = <span class='pyx_c_api'>__Pyx_PyIndex_AsSsize_t</span>(__pyx_t_6); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) &amp;&amp; <span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"          <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_6); __pyx_t_6 = 0;\\n\",\n       \"          __pyx_t_4 = (((Py_ssize_t)__pyx_t_5) == 1);\\n\",\n       \"          if (__pyx_t_4) {\\n\",\n       \"          } else {\\n\",\n       \"            __pyx_t_2 = __pyx_t_4;\\n\",\n       \"            goto __pyx_L16_bool_binop_done;\\n\",\n       \"          }\\n\",\n       \"          __pyx_t_4 = (!(__pyx_v___pyx_fused_dtype_int64__t_is_signed ^ __pyx_v_dtype_signed));\\n\",\n       \"          __pyx_t_2 = __pyx_t_4;\\n\",\n       \"          __pyx_L16_bool_binop_done:;\\n\",\n       \"          if (__pyx_t_2) {\\n\",\n       \"            if (unlikely((<span class='pyx_c_api'>__Pyx_SetItemInt</span>(__pyx_v_dest_sig, 0, __pyx_n_s_int64_t, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"            goto __pyx_L10_break;\\n\",\n       \"          }\\n\",\n       \"          break;\\n\",\n       \"          case 0x66:\\n\",\n       \"          __pyx_t_4 = ((sizeof(__pyx_t_5numpy_float64_t)) == __pyx_v_itemsize);\\n\",\n       \"          if (__pyx_t_4) {\\n\",\n       \"          } else {\\n\",\n       \"            __pyx_t_2 = __pyx_t_4;\\n\",\n       \"            goto __pyx_L20_bool_binop_done;\\n\",\n       \"          }\\n\",\n       \"          __pyx_t_6 = <span class='pyx_c_api'>__Pyx_PyObject_GetAttrStr</span>(__pyx_v_arg, __pyx_n_s_ndim);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"          <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6);\\n\",\n       \"          __pyx_t_5 = <span class='pyx_c_api'>__Pyx_PyIndex_AsSsize_t</span>(__pyx_t_6); if (unlikely((__pyx_t_5 == (Py_ssize_t)-1) &amp;&amp; <span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"          <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_6); __pyx_t_6 = 0;\\n\",\n       \"          __pyx_t_4 = (((Py_ssize_t)__pyx_t_5) == 1);\\n\",\n       \"          __pyx_t_2 = __pyx_t_4;\\n\",\n       \"          __pyx_L20_bool_binop_done:;\\n\",\n       \"          if (__pyx_t_2) {\\n\",\n       \"            if (unlikely((<span class='pyx_c_api'>__Pyx_SetItemInt</span>(__pyx_v_dest_sig, 0, __pyx_n_s_float64_t, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"            goto __pyx_L10_break;\\n\",\n       \"          }\\n\",\n       \"          break;\\n\",\n       \"          case 99:\\n\",\n       \"          break;\\n\",\n       \"          case 79:\\n\",\n       \"          break;\\n\",\n       \"          default: break;\\n\",\n       \"        }\\n\",\n       \"      }\\n\",\n       \"    }\\n\",\n       \"    __pyx_t_2 = (__pyx_v_arg == Py_None);\\n\",\n       \"    if (__pyx_t_2) {\\n\",\n       \"      if (unlikely((<span class='pyx_c_api'>__Pyx_SetItemInt</span>(__pyx_v_dest_sig, 0, __pyx_n_s_int64_t, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"      goto __pyx_L10_break;\\n\",\n       \"    }\\n\",\n       \"    {\\n\",\n       \"      /*try:*/ {\\n\",\n       \"        __pyx_t_6 = PyMemoryView_FromObject(__pyx_v_arg);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 8, __pyx_L23_error)</span>\\n\",\n       \"        <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6);\\n\",\n       \"        __pyx_v_arg_as_memoryview = ((PyObject*)__pyx_t_6);\\n\",\n       \"        __pyx_t_6 = 0;\\n\",\n       \"      }\\n\",\n       \"      /*else:*/ {\\n\",\n       \"        __pyx_t_4 = (__pyx_v_itemsize == -1L);\\n\",\n       \"        if (!__pyx_t_4) {\\n\",\n       \"          goto __pyx_L34_next_or;\\n\",\n       \"        } else {\\n\",\n       \"        }\\n\",\n       \"        __pyx_t_5 = <span class='pyx_c_api'>__Pyx_PyMemoryView_Get_itemsize</span>(__pyx_v_arg_as_memoryview); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1) &amp;&amp; <span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L25_except_error)</span>\\n\",\n       \"        __pyx_t_4 = (__pyx_t_5 == (sizeof(__pyx_t_5numpy_int64_t)));\\n\",\n       \"        if (!__pyx_t_4) {\\n\",\n       \"        } else {\\n\",\n       \"          goto __pyx_L33_next_and;\\n\",\n       \"        }\\n\",\n       \"        __pyx_L34_next_or:;\\n\",\n       \"        __pyx_t_4 = (__pyx_v_itemsize == (sizeof(__pyx_t_5numpy_int64_t)));\\n\",\n       \"        if (__pyx_t_4) {\\n\",\n       \"        } else {\\n\",\n       \"          __pyx_t_2 = __pyx_t_4;\\n\",\n       \"          goto __pyx_L32_bool_binop_done;\\n\",\n       \"        }\\n\",\n       \"        __pyx_L33_next_and:;\\n\",\n       \"        __pyx_t_11 = <span class='pyx_c_api'>__Pyx_PyMemoryView_Get_ndim</span>(__pyx_v_arg_as_memoryview); if (unlikely(__pyx_t_11 == ((int)-1) &amp;&amp; <span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L25_except_error)</span>\\n\",\n       \"        __pyx_t_4 = (__pyx_t_11 == 1);\\n\",\n       \"        __pyx_t_2 = __pyx_t_4;\\n\",\n       \"        __pyx_L32_bool_binop_done:;\\n\",\n       \"        if (__pyx_t_2) {\\n\",\n       \"          __pyx_t_12 = __Pyx_PyObject_to_MemoryviewSlice_ds_nn___pyx_t_5numpy_int64_t(__pyx_v_arg_as_memoryview, 0); \\n\",\n       \"          __pyx_v_memslice = __pyx_t_12;\\n\",\n       \"          __pyx_t_2 = (__pyx_v_memslice.memview != 0);\\n\",\n       \"          if (__pyx_t_2) {\\n\",\n       \"            __PYX_XCLEAR_MEMVIEW((&amp;__pyx_v_memslice), 1); \\n\",\n       \"            if (unlikely((<span class='pyx_c_api'>__Pyx_SetItemInt</span>(__pyx_v_dest_sig, 0, __pyx_n_s_int64_t, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L25_except_error)</span>\\n\",\n       \"            goto __pyx_L28_try_break;\\n\",\n       \"          }\\n\",\n       \"          /*else*/ {\\n\",\n       \"            <span class='py_c_api'>PyErr_Clear</span>(); \\n\",\n       \"          }\\n\",\n       \"        }\\n\",\n       \"        __pyx_t_4 = (__pyx_v_itemsize == -1L);\\n\",\n       \"        if (!__pyx_t_4) {\\n\",\n       \"          goto __pyx_L40_next_or;\\n\",\n       \"        } else {\\n\",\n       \"        }\\n\",\n       \"        __pyx_t_5 = <span class='pyx_c_api'>__Pyx_PyMemoryView_Get_itemsize</span>(__pyx_v_arg_as_memoryview); if (unlikely(__pyx_t_5 == ((Py_ssize_t)-1) &amp;&amp; <span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L25_except_error)</span>\\n\",\n       \"        __pyx_t_4 = (__pyx_t_5 == (sizeof(__pyx_t_5numpy_float64_t)));\\n\",\n       \"        if (!__pyx_t_4) {\\n\",\n       \"        } else {\\n\",\n       \"          goto __pyx_L39_next_and;\\n\",\n       \"        }\\n\",\n       \"        __pyx_L40_next_or:;\\n\",\n       \"        __pyx_t_4 = (__pyx_v_itemsize == (sizeof(__pyx_t_5numpy_float64_t)));\\n\",\n       \"        if (__pyx_t_4) {\\n\",\n       \"        } else {\\n\",\n       \"          __pyx_t_2 = __pyx_t_4;\\n\",\n       \"          goto __pyx_L38_bool_binop_done;\\n\",\n       \"        }\\n\",\n       \"        __pyx_L39_next_and:;\\n\",\n       \"        __pyx_t_11 = <span class='pyx_c_api'>__Pyx_PyMemoryView_Get_ndim</span>(__pyx_v_arg_as_memoryview); if (unlikely(__pyx_t_11 == ((int)-1) &amp;&amp; <span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L25_except_error)</span>\\n\",\n       \"        __pyx_t_4 = (__pyx_t_11 == 1);\\n\",\n       \"        __pyx_t_2 = __pyx_t_4;\\n\",\n       \"        __pyx_L38_bool_binop_done:;\\n\",\n       \"        if (__pyx_t_2) {\\n\",\n       \"          __pyx_t_12 = __Pyx_PyObject_to_MemoryviewSlice_ds_nn___pyx_t_5numpy_float64_t(__pyx_v_arg_as_memoryview, 0); \\n\",\n       \"          __pyx_v_memslice = __pyx_t_12;\\n\",\n       \"          __pyx_t_2 = (__pyx_v_memslice.memview != 0);\\n\",\n       \"          if (__pyx_t_2) {\\n\",\n       \"            __PYX_XCLEAR_MEMVIEW((&amp;__pyx_v_memslice), 1); \\n\",\n       \"            if (unlikely((<span class='pyx_c_api'>__Pyx_SetItemInt</span>(__pyx_v_dest_sig, 0, __pyx_n_s_float64_t, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L25_except_error)</span>\\n\",\n       \"            goto __pyx_L28_try_break;\\n\",\n       \"          }\\n\",\n       \"          /*else*/ {\\n\",\n       \"            <span class='py_c_api'>PyErr_Clear</span>(); \\n\",\n       \"          }\\n\",\n       \"        }\\n\",\n       \"      }\\n\",\n       \"      <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_8); __pyx_t_8 = 0;\\n\",\n       \"      <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_9); __pyx_t_9 = 0;\\n\",\n       \"      <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_10); __pyx_t_10 = 0;\\n\",\n       \"      goto __pyx_L30_try_end;\\n\",\n       \"      __pyx_L23_error:;\\n\",\n       \"      <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_1); __pyx_t_1 = 0;\\n\",\n       \"      <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_6); __pyx_t_6 = 0;\\n\",\n       \"      __pyx_t_11 = __Pyx_PyErr_ExceptionMatches2(__pyx_builtin_ValueError, __pyx_builtin_TypeError);\\n\",\n       \"      if (__pyx_t_11) {\\n\",\n       \"        <span class='pyx_c_api'>__Pyx_AddTraceback</span>(\\\"_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d.__pyx_fused_cpdef\\\", __pyx_clineno, __pyx_lineno, __pyx_filename);\\n\",\n       \"        if (<span class='pyx_c_api'>__Pyx_GetException</span>(&amp;__pyx_t_6, &amp;__pyx_t_1, &amp;__pyx_t_13) &lt; 0) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L25_except_error)</span>\\n\",\n       \"        <span class='refnanny'>__Pyx_XGOTREF</span>(__pyx_t_6);\\n\",\n       \"        <span class='refnanny'>__Pyx_XGOTREF</span>(__pyx_t_1);\\n\",\n       \"        <span class='refnanny'>__Pyx_XGOTREF</span>(__pyx_t_13);\\n\",\n       \"        <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_6); __pyx_t_6 = 0;\\n\",\n       \"        <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_1); __pyx_t_1 = 0;\\n\",\n       \"        <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_13); __pyx_t_13 = 0;\\n\",\n       \"        goto __pyx_L24_exception_handled;\\n\",\n       \"      }\\n\",\n       \"      goto __pyx_L25_except_error;\\n\",\n       \"      __pyx_L25_except_error:;\\n\",\n       \"      <span class='refnanny'>__Pyx_XGIVEREF</span>(__pyx_t_8);\\n\",\n       \"      <span class='refnanny'>__Pyx_XGIVEREF</span>(__pyx_t_9);\\n\",\n       \"      <span class='refnanny'>__Pyx_XGIVEREF</span>(__pyx_t_10);\\n\",\n       \"      <span class='pyx_c_api'>__Pyx_ExceptionReset</span>(__pyx_t_8, __pyx_t_9, __pyx_t_10);\\n\",\n       \"      goto __pyx_L1_error;\\n\",\n       \"      __pyx_L28_try_break:;\\n\",\n       \"      <span class='refnanny'>__Pyx_XGIVEREF</span>(__pyx_t_8);\\n\",\n       \"      <span class='refnanny'>__Pyx_XGIVEREF</span>(__pyx_t_9);\\n\",\n       \"      <span class='refnanny'>__Pyx_XGIVEREF</span>(__pyx_t_10);\\n\",\n       \"      <span class='pyx_c_api'>__Pyx_ExceptionReset</span>(__pyx_t_8, __pyx_t_9, __pyx_t_10);\\n\",\n       \"      goto __pyx_L10_break;\\n\",\n       \"      __pyx_L24_exception_handled:;\\n\",\n       \"      <span class='refnanny'>__Pyx_XGIVEREF</span>(__pyx_t_8);\\n\",\n       \"      <span class='refnanny'>__Pyx_XGIVEREF</span>(__pyx_t_9);\\n\",\n       \"      <span class='refnanny'>__Pyx_XGIVEREF</span>(__pyx_t_10);\\n\",\n       \"      <span class='pyx_c_api'>__Pyx_ExceptionReset</span>(__pyx_t_8, __pyx_t_9, __pyx_t_10);\\n\",\n       \"      __pyx_L30_try_end:;\\n\",\n       \"    }\\n\",\n       \"    if (unlikely((<span class='pyx_c_api'>__Pyx_SetItemInt</span>(__pyx_v_dest_sig, 0, Py_None, long, 1, __Pyx_PyInt_From_long, 1, 0, 0) &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"    goto __pyx_L10_break;\\n\",\n       \"  }\\n\",\n       \"  __pyx_L10_break:;\\n\",\n       \"  __pyx_t_2 = <span class='pyx_c_api'>__Pyx_PyObject_IsTrue</span>(__pyx_v__fused_sigindex); if (unlikely((__pyx_t_2 &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  __pyx_t_4 = (!__pyx_t_2);\\n\",\n       \"  if (__pyx_t_4) {\\n\",\n       \"    __pyx_t_5 = 0;\\n\",\n       \"    if (unlikely(__pyx_v_signatures == Py_None)) {\\n\",\n       \"      <span class='py_c_api'>PyErr_SetString</span>(PyExc_TypeError, \\\"'NoneType' object is not iterable\\\");\\n\",\n       \"      <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"    }\\n\",\n       \"    __pyx_t_1 = __Pyx_dict_iterator(((PyObject*)__pyx_v_signatures), 1, ((PyObject *)NULL), (&amp;__pyx_t_14), (&amp;__pyx_t_11));<span class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"    <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_1);\\n\",\n       \"    <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_13);\\n\",\n       \"    __pyx_t_13 = __pyx_t_1;\\n\",\n       \"    __pyx_t_1 = 0;\\n\",\n       \"    while (1) {\\n\",\n       \"      __pyx_t_15 = __Pyx_dict_iter_next(__pyx_t_13, __pyx_t_14, &amp;__pyx_t_5, &amp;__pyx_t_1, NULL, NULL, __pyx_t_11);\\n\",\n       \"      if (unlikely(__pyx_t_15 == 0)) break;\\n\",\n       \"      if (unlikely(__pyx_t_15 == -1)) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"      <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_1);\\n\",\n       \"      <span class='pyx_macro_api'>__Pyx_XDECREF_SET</span>(__pyx_v_sig, __pyx_t_1);\\n\",\n       \"      __pyx_t_1 = 0;\\n\",\n       \"      __pyx_t_1 = __pyx_v__fused_sigindex;\\n\",\n       \"      <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_1);\\n\",\n       \"      <span class='pyx_macro_api'>__Pyx_XDECREF_SET</span>(__pyx_v_sigindex_node, ((PyObject*)__pyx_t_1));\\n\",\n       \"      __pyx_t_1 = 0;\\n\",\n       \"      __pyx_t_16 = <span class='pyx_c_api'>__Pyx_PyObject_GetAttrStr</span>(__pyx_v_sig, __pyx_n_s_strip);<span class='error_goto'> if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"      <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_16);\\n\",\n       \"      __pyx_t_17 = NULL;\\n\",\n       \"      __pyx_t_18 = 0;\\n\",\n       \"      #if CYTHON_UNPACK_METHODS\\n\",\n       \"      if (likely(<span class='py_c_api'>PyMethod_Check</span>(__pyx_t_16))) {\\n\",\n       \"        __pyx_t_17 = <span class='py_macro_api'>PyMethod_GET_SELF</span>(__pyx_t_16);\\n\",\n       \"        if (likely(__pyx_t_17)) {\\n\",\n       \"          PyObject* function = <span class='py_macro_api'>PyMethod_GET_FUNCTION</span>(__pyx_t_16);\\n\",\n       \"          <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_17);\\n\",\n       \"          <span class='pyx_macro_api'>__Pyx_INCREF</span>(function);\\n\",\n       \"          <span class='pyx_macro_api'>__Pyx_DECREF_SET</span>(__pyx_t_16, function);\\n\",\n       \"          __pyx_t_18 = 1;\\n\",\n       \"        }\\n\",\n       \"      }\\n\",\n       \"      #endif\\n\",\n       \"      {\\n\",\n       \"        PyObject *__pyx_callargs[2] = {__pyx_t_17, __pyx_kp_s__12};\\n\",\n       \"        __pyx_t_6 = <span class='pyx_c_api'>__Pyx_PyObject_FastCall</span>(__pyx_t_16, __pyx_callargs+1-__pyx_t_18, 1+__pyx_t_18);\\n\",\n       \"        <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_17); __pyx_t_17 = 0;\\n\",\n       \"        if (unlikely(!__pyx_t_6)) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6);\\n\",\n       \"        <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_16); __pyx_t_16 = 0;\\n\",\n       \"      }\\n\",\n       \"      __pyx_t_16 = <span class='pyx_c_api'>__Pyx_PyObject_GetAttrStr</span>(__pyx_t_6, __pyx_n_s_split);<span class='error_goto'> if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"      <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_16);\\n\",\n       \"      <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_6); __pyx_t_6 = 0;\\n\",\n       \"      __pyx_t_6 = NULL;\\n\",\n       \"      __pyx_t_18 = 0;\\n\",\n       \"      #if CYTHON_UNPACK_METHODS\\n\",\n       \"      if (likely(<span class='py_c_api'>PyMethod_Check</span>(__pyx_t_16))) {\\n\",\n       \"        __pyx_t_6 = <span class='py_macro_api'>PyMethod_GET_SELF</span>(__pyx_t_16);\\n\",\n       \"        if (likely(__pyx_t_6)) {\\n\",\n       \"          PyObject* function = <span class='py_macro_api'>PyMethod_GET_FUNCTION</span>(__pyx_t_16);\\n\",\n       \"          <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_6);\\n\",\n       \"          <span class='pyx_macro_api'>__Pyx_INCREF</span>(function);\\n\",\n       \"          <span class='pyx_macro_api'>__Pyx_DECREF_SET</span>(__pyx_t_16, function);\\n\",\n       \"          __pyx_t_18 = 1;\\n\",\n       \"        }\\n\",\n       \"      }\\n\",\n       \"      #endif\\n\",\n       \"      {\\n\",\n       \"        PyObject *__pyx_callargs[2] = {__pyx_t_6, __pyx_kp_s__13};\\n\",\n       \"        __pyx_t_1 = <span class='pyx_c_api'>__Pyx_PyObject_FastCall</span>(__pyx_t_16, __pyx_callargs+1-__pyx_t_18, 1+__pyx_t_18);\\n\",\n       \"        <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_6); __pyx_t_6 = 0;\\n\",\n       \"        if (unlikely(!__pyx_t_1)) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_1);\\n\",\n       \"        <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_16); __pyx_t_16 = 0;\\n\",\n       \"      }\\n\",\n       \"      __pyx_t_16 = <span class='pyx_c_api'>__Pyx_PySequence_ListKeepNew</span>(__pyx_t_1);<span class='error_goto'> if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"      <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_16);\\n\",\n       \"      <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_1); __pyx_t_1 = 0;\\n\",\n       \"      __pyx_t_19 = <span class='py_macro_api'>PyList_GET_SIZE</span>(__pyx_t_16);\\n\",\n       \"      if (unlikely(__pyx_t_19 &lt; 1)) {\\n\",\n       \"        <span class='pyx_c_api'>__Pyx_RaiseNeedMoreValuesError</span>(0+__pyx_t_19); <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"      }\\n\",\n       \"      #if CYTHON_COMPILING_IN_CPYTHON\\n\",\n       \"      __pyx_t_6 = <span class='py_macro_api'>PyList_GET_ITEM</span>(__pyx_t_16, __pyx_t_19-1); \\n\",\n       \"      ((PyVarObject*)__pyx_t_16)-&gt;ob_size--;\\n\",\n       \"      #else\\n\",\n       \"      __pyx_t_6 = <span class='py_macro_api'>PySequence_ITEM</span>(__pyx_t_16, __pyx_t_19-1); \\n\",\n       \"      #endif\\n\",\n       \"      <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6);\\n\",\n       \"      #if !CYTHON_COMPILING_IN_CPYTHON\\n\",\n       \"      __pyx_t_17 = <span class='py_c_api'>PySequence_GetSlice</span>(__pyx_t_16, 0, __pyx_t_19-1);<span class='error_goto'> if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"      <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_17);\\n\",\n       \"      <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_16);\\n\",\n       \"      __pyx_t_16 = __pyx_t_17; __pyx_t_17 = NULL;\\n\",\n       \"      #else\\n\",\n       \"      CYTHON_UNUSED_VAR(__pyx_t_17);\\n\",\n       \"      #endif\\n\",\n       \"      <span class='pyx_macro_api'>__Pyx_XDECREF_SET</span>(__pyx_v_sig_series, ((PyObject*)__pyx_t_16));\\n\",\n       \"      __pyx_t_16 = 0;\\n\",\n       \"      <span class='pyx_macro_api'>__Pyx_XDECREF_SET</span>(__pyx_v_last_type, __pyx_t_6);\\n\",\n       \"      __pyx_t_6 = 0;\\n\",\n       \"      __pyx_t_1 = __pyx_v_sig_series; <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_1);\\n\",\n       \"      __pyx_t_19 = 0;\\n\",\n       \"      for (;;) {\\n\",\n       \"        {\\n\",\n       \"          Py_ssize_t __pyx_temp = <span class='pyx_c_api'>__Pyx_PyList_GET_SIZE</span>(__pyx_t_1);\\n\",\n       \"          #if !CYTHON_ASSUME_SAFE_MACROS\\n\",\n       \"          if (unlikely((__pyx_temp &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"          #endif\\n\",\n       \"          if (__pyx_t_19 &gt;= __pyx_temp) break;\\n\",\n       \"        }\\n\",\n       \"        #if CYTHON_ASSUME_SAFE_MACROS &amp;&amp; !CYTHON_AVOID_BORROWED_REFS\\n\",\n       \"        __pyx_t_6 = <span class='py_macro_api'>PyList_GET_ITEM</span>(__pyx_t_1, __pyx_t_19); <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_6); __pyx_t_19++; if (unlikely((0 &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        #else\\n\",\n       \"        __pyx_t_6 = <span class='pyx_c_api'>__Pyx_PySequence_ITEM</span>(__pyx_t_1, __pyx_t_19); __pyx_t_19++;<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6);\\n\",\n       \"        #endif\\n\",\n       \"        <span class='pyx_macro_api'>__Pyx_XDECREF_SET</span>(__pyx_v_sig_type, __pyx_t_6);\\n\",\n       \"        __pyx_t_6 = 0;\\n\",\n       \"        if (unlikely(__pyx_v_sigindex_node == Py_None)) {\\n\",\n       \"          <span class='py_c_api'>PyErr_SetString</span>(PyExc_TypeError, \\\"'NoneType' object is not iterable\\\");\\n\",\n       \"          <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        }\\n\",\n       \"        __pyx_t_4 = (<span class='pyx_c_api'>__Pyx_PyDict_ContainsTF</span>(__pyx_v_sig_type, __pyx_v_sigindex_node, Py_NE)); if (unlikely((__pyx_t_4 &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        if (__pyx_t_4) {\\n\",\n       \"          __pyx_t_6 = <span class='pyx_c_api'>__Pyx_PyDict_NewPresized</span>(0);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"          <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6);\\n\",\n       \"          if (unlikely(__pyx_v_sigindex_node == Py_None)) {\\n\",\n       \"            <span class='py_c_api'>PyErr_SetString</span>(PyExc_TypeError, \\\"'NoneType' object is not subscriptable\\\");\\n\",\n       \"            <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"          }\\n\",\n       \"          if (unlikely((<span class='py_c_api'>PyDict_SetItem</span>(__pyx_v_sigindex_node, __pyx_v_sig_type, __pyx_t_6) &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"          <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_6);\\n\",\n       \"          <span class='pyx_macro_api'>__Pyx_DECREF_SET</span>(__pyx_v_sigindex_node, __pyx_t_6);\\n\",\n       \"          <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_6); __pyx_t_6 = 0;\\n\",\n       \"          goto __pyx_L50;\\n\",\n       \"        }\\n\",\n       \"        /*else*/ {\\n\",\n       \"          if (unlikely(__pyx_v_sigindex_node == Py_None)) {\\n\",\n       \"            <span class='py_c_api'>PyErr_SetString</span>(PyExc_TypeError, \\\"'NoneType' object is not subscriptable\\\");\\n\",\n       \"            <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"          }\\n\",\n       \"          __pyx_t_6 = <span class='pyx_c_api'>__Pyx_PyDict_GetItem</span>(__pyx_v_sigindex_node, __pyx_v_sig_type);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"          <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6);\\n\",\n       \"          __pyx_t_16 = __pyx_t_6;\\n\",\n       \"          <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_16);\\n\",\n       \"          <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_6); __pyx_t_6 = 0;\\n\",\n       \"          <span class='pyx_macro_api'>__Pyx_DECREF_SET</span>(__pyx_v_sigindex_node, ((PyObject*)__pyx_t_16));\\n\",\n       \"          __pyx_t_16 = 0;\\n\",\n       \"        }\\n\",\n       \"        __pyx_L50:;\\n\",\n       \"      }\\n\",\n       \"      <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_1); __pyx_t_1 = 0;\\n\",\n       \"      if (unlikely(__pyx_v_sigindex_node == Py_None)) {\\n\",\n       \"        <span class='py_c_api'>PyErr_SetString</span>(PyExc_TypeError, \\\"'NoneType' object is not subscriptable\\\");\\n\",\n       \"        <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"      }\\n\",\n       \"      if (unlikely((<span class='py_c_api'>PyDict_SetItem</span>(__pyx_v_sigindex_node, __pyx_v_last_type, __pyx_v_sig) &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"    }\\n\",\n       \"    <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_13); __pyx_t_13 = 0;\\n\",\n       \"  }\\n\",\n       \"  __pyx_t_13 = <span class='py_c_api'>PyList_New</span>(0);<span class='error_goto'> if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_13);\\n\",\n       \"  __pyx_v_sigindex_matches = ((PyObject*)__pyx_t_13);\\n\",\n       \"  __pyx_t_13 = 0;\\n\",\n       \"  __pyx_t_13 = <span class='py_c_api'>PyList_New</span>(1);<span class='error_goto'> if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_13);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_v__fused_sigindex);\\n\",\n       \"  <span class='refnanny'>__Pyx_GIVEREF</span>(__pyx_v__fused_sigindex);\\n\",\n       \"  if (<span class='pyx_c_api'>__Pyx_PyList_SET_ITEM</span>(__pyx_t_13, 0, __pyx_v__fused_sigindex)) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>;\\n\",\n       \"  __pyx_v_sigindex_candidates = ((PyObject*)__pyx_t_13);\\n\",\n       \"  __pyx_t_13 = 0;\\n\",\n       \"  __pyx_t_13 = __pyx_v_dest_sig; <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_13);\\n\",\n       \"  __pyx_t_14 = 0;\\n\",\n       \"  for (;;) {\\n\",\n       \"    {\\n\",\n       \"      Py_ssize_t __pyx_temp = <span class='pyx_c_api'>__Pyx_PyList_GET_SIZE</span>(__pyx_t_13);\\n\",\n       \"      #if !CYTHON_ASSUME_SAFE_MACROS\\n\",\n       \"      if (unlikely((__pyx_temp &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"      #endif\\n\",\n       \"      if (__pyx_t_14 &gt;= __pyx_temp) break;\\n\",\n       \"    }\\n\",\n       \"    #if CYTHON_ASSUME_SAFE_MACROS &amp;&amp; !CYTHON_AVOID_BORROWED_REFS\\n\",\n       \"    __pyx_t_1 = <span class='py_macro_api'>PyList_GET_ITEM</span>(__pyx_t_13, __pyx_t_14); <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_1); __pyx_t_14++; if (unlikely((0 &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"    #else\\n\",\n       \"    __pyx_t_1 = <span class='pyx_c_api'>__Pyx_PySequence_ITEM</span>(__pyx_t_13, __pyx_t_14); __pyx_t_14++;<span class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"    <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_1);\\n\",\n       \"    #endif\\n\",\n       \"    <span class='pyx_macro_api'>__Pyx_XDECREF_SET</span>(__pyx_v_dst_type, __pyx_t_1);\\n\",\n       \"    __pyx_t_1 = 0;\\n\",\n       \"    __pyx_t_1 = <span class='py_c_api'>PyList_New</span>(0);<span class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"    <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_1);\\n\",\n       \"    <span class='pyx_macro_api'>__Pyx_XDECREF_SET</span>(__pyx_v_found_matches, ((PyObject*)__pyx_t_1));\\n\",\n       \"    __pyx_t_1 = 0;\\n\",\n       \"    __pyx_t_1 = <span class='py_c_api'>PyList_New</span>(0);<span class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"    <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_1);\\n\",\n       \"    <span class='pyx_macro_api'>__Pyx_XDECREF_SET</span>(__pyx_v_found_candidates, ((PyObject*)__pyx_t_1));\\n\",\n       \"    __pyx_t_1 = 0;\\n\",\n       \"    __pyx_t_4 = (__pyx_v_dst_type == Py_None);\\n\",\n       \"    if (__pyx_t_4) {\\n\",\n       \"      __pyx_t_1 = __pyx_v_sigindex_matches; <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_1);\\n\",\n       \"      __pyx_t_5 = 0;\\n\",\n       \"      for (;;) {\\n\",\n       \"        {\\n\",\n       \"          Py_ssize_t __pyx_temp = <span class='pyx_c_api'>__Pyx_PyList_GET_SIZE</span>(__pyx_t_1);\\n\",\n       \"          #if !CYTHON_ASSUME_SAFE_MACROS\\n\",\n       \"          if (unlikely((__pyx_temp &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"          #endif\\n\",\n       \"          if (__pyx_t_5 &gt;= __pyx_temp) break;\\n\",\n       \"        }\\n\",\n       \"        #if CYTHON_ASSUME_SAFE_MACROS &amp;&amp; !CYTHON_AVOID_BORROWED_REFS\\n\",\n       \"        __pyx_t_16 = <span class='py_macro_api'>PyList_GET_ITEM</span>(__pyx_t_1, __pyx_t_5); <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_16); __pyx_t_5++; if (unlikely((0 &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        #else\\n\",\n       \"        __pyx_t_16 = <span class='pyx_c_api'>__Pyx_PySequence_ITEM</span>(__pyx_t_1, __pyx_t_5); __pyx_t_5++;<span class='error_goto'> if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_16);\\n\",\n       \"        #endif\\n\",\n       \"        <span class='pyx_macro_api'>__Pyx_XDECREF_SET</span>(__pyx_v_sn, __pyx_t_16);\\n\",\n       \"        __pyx_t_16 = 0;\\n\",\n       \"        if (unlikely(__pyx_v_sn == Py_None)) {\\n\",\n       \"          <span class='py_c_api'>PyErr_Format</span>(PyExc_AttributeError, \\\"'NoneType' object has no attribute '%.30s'\\\", \\\"values\\\");\\n\",\n       \"          <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        }\\n\",\n       \"        __pyx_t_16 = <span class='pyx_c_api'>__Pyx_PyDict_Values</span>(((PyObject*)__pyx_v_sn));<span class='error_goto'> if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_16);\\n\",\n       \"        __pyx_t_20 = <span class='pyx_c_api'>__Pyx_PyList_Extend</span>(__pyx_v_found_matches, __pyx_t_16);<span class='error_goto'> if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_16); __pyx_t_16 = 0;\\n\",\n       \"      }\\n\",\n       \"      <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_1); __pyx_t_1 = 0;\\n\",\n       \"      __pyx_t_1 = __pyx_v_sigindex_candidates; <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_1);\\n\",\n       \"      __pyx_t_5 = 0;\\n\",\n       \"      for (;;) {\\n\",\n       \"        {\\n\",\n       \"          Py_ssize_t __pyx_temp = <span class='pyx_c_api'>__Pyx_PyList_GET_SIZE</span>(__pyx_t_1);\\n\",\n       \"          #if !CYTHON_ASSUME_SAFE_MACROS\\n\",\n       \"          if (unlikely((__pyx_temp &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"          #endif\\n\",\n       \"          if (__pyx_t_5 &gt;= __pyx_temp) break;\\n\",\n       \"        }\\n\",\n       \"        #if CYTHON_ASSUME_SAFE_MACROS &amp;&amp; !CYTHON_AVOID_BORROWED_REFS\\n\",\n       \"        __pyx_t_16 = <span class='py_macro_api'>PyList_GET_ITEM</span>(__pyx_t_1, __pyx_t_5); <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_16); __pyx_t_5++; if (unlikely((0 &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        #else\\n\",\n       \"        __pyx_t_16 = <span class='pyx_c_api'>__Pyx_PySequence_ITEM</span>(__pyx_t_1, __pyx_t_5); __pyx_t_5++;<span class='error_goto'> if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_16);\\n\",\n       \"        #endif\\n\",\n       \"        <span class='pyx_macro_api'>__Pyx_XDECREF_SET</span>(__pyx_v_sn, __pyx_t_16);\\n\",\n       \"        __pyx_t_16 = 0;\\n\",\n       \"        if (unlikely(__pyx_v_sn == Py_None)) {\\n\",\n       \"          <span class='py_c_api'>PyErr_Format</span>(PyExc_AttributeError, \\\"'NoneType' object has no attribute '%.30s'\\\", \\\"values\\\");\\n\",\n       \"          <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        }\\n\",\n       \"        __pyx_t_16 = <span class='pyx_c_api'>__Pyx_PyDict_Values</span>(((PyObject*)__pyx_v_sn));<span class='error_goto'> if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_16);\\n\",\n       \"        __pyx_t_20 = <span class='pyx_c_api'>__Pyx_PyList_Extend</span>(__pyx_v_found_candidates, __pyx_t_16);<span class='error_goto'> if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_16); __pyx_t_16 = 0;\\n\",\n       \"      }\\n\",\n       \"      <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_1); __pyx_t_1 = 0;\\n\",\n       \"      goto __pyx_L54;\\n\",\n       \"    }\\n\",\n       \"    /*else*/ {\\n\",\n       \"      __pyx_t_1 = <span class='py_c_api'>PyTuple_New</span>(2);<span class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"      <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_1);\\n\",\n       \"      <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_v_sigindex_matches);\\n\",\n       \"      <span class='refnanny'>__Pyx_GIVEREF</span>(__pyx_v_sigindex_matches);\\n\",\n       \"      if (<span class='pyx_c_api'>__Pyx_PyTuple_SET_ITEM</span>(__pyx_t_1, 0, __pyx_v_sigindex_matches)) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>;\\n\",\n       \"      <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_v_sigindex_candidates);\\n\",\n       \"      <span class='refnanny'>__Pyx_GIVEREF</span>(__pyx_v_sigindex_candidates);\\n\",\n       \"      if (<span class='pyx_c_api'>__Pyx_PyTuple_SET_ITEM</span>(__pyx_t_1, 1, __pyx_v_sigindex_candidates)) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>;\\n\",\n       \"      __pyx_t_16 = __pyx_t_1; <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_16);\\n\",\n       \"      __pyx_t_5 = 0;\\n\",\n       \"      <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_1); __pyx_t_1 = 0;\\n\",\n       \"      for (;;) {\\n\",\n       \"        if (__pyx_t_5 &gt;= 2) break;\\n\",\n       \"        #if CYTHON_ASSUME_SAFE_MACROS &amp;&amp; !CYTHON_AVOID_BORROWED_REFS\\n\",\n       \"        __pyx_t_1 = <span class='py_macro_api'>PyTuple_GET_ITEM</span>(__pyx_t_16, __pyx_t_5); <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_1); __pyx_t_5++; if (unlikely((0 &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        #else\\n\",\n       \"        __pyx_t_1 = <span class='pyx_c_api'>__Pyx_PySequence_ITEM</span>(__pyx_t_16, __pyx_t_5); __pyx_t_5++;<span class='error_goto'> if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_1);\\n\",\n       \"        #endif\\n\",\n       \"        <span class='pyx_macro_api'>__Pyx_XDECREF_SET</span>(__pyx_v_search_list, ((PyObject*)__pyx_t_1));\\n\",\n       \"        __pyx_t_1 = 0;\\n\",\n       \"        if (unlikely(__pyx_v_search_list == Py_None)) {\\n\",\n       \"          <span class='py_c_api'>PyErr_SetString</span>(PyExc_TypeError, \\\"'NoneType' object is not iterable\\\");\\n\",\n       \"          <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"        }\\n\",\n       \"        __pyx_t_1 = __pyx_v_search_list; <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_1);\\n\",\n       \"        __pyx_t_19 = 0;\\n\",\n       \"        for (;;) {\\n\",\n       \"          {\\n\",\n       \"            Py_ssize_t __pyx_temp = <span class='pyx_c_api'>__Pyx_PyList_GET_SIZE</span>(__pyx_t_1);\\n\",\n       \"            #if !CYTHON_ASSUME_SAFE_MACROS\\n\",\n       \"            if (unlikely((__pyx_temp &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"            #endif\\n\",\n       \"            if (__pyx_t_19 &gt;= __pyx_temp) break;\\n\",\n       \"          }\\n\",\n       \"          #if CYTHON_ASSUME_SAFE_MACROS &amp;&amp; !CYTHON_AVOID_BORROWED_REFS\\n\",\n       \"          __pyx_t_6 = <span class='py_macro_api'>PyList_GET_ITEM</span>(__pyx_t_1, __pyx_t_19); <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_t_6); __pyx_t_19++; if (unlikely((0 &lt; 0))) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"          #else\\n\",\n       \"          __pyx_t_6 = <span class='pyx_c_api'>__Pyx_PySequence_ITEM</span>(__pyx_t_1, __pyx_t_19); __pyx_t_19++;<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"          <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6);\\n\",\n       \"          #endif\\n\",\n       \"          <span class='pyx_macro_api'>__Pyx_XDECREF_SET</span>(__pyx_v_sn, __pyx_t_6);\\n\",\n       \"          __pyx_t_6 = 0;\\n\",\n       \"          if (unlikely(__pyx_v_sn == Py_None)) {\\n\",\n       \"            <span class='py_c_api'>PyErr_Format</span>(PyExc_AttributeError, \\\"'NoneType' object has no attribute '%.30s'\\\", \\\"get\\\");\\n\",\n       \"            <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"          }\\n\",\n       \"          __pyx_t_6 = <span class='pyx_c_api'>__Pyx_PyDict_GetItemDefault</span>(((PyObject*)__pyx_v_sn), __pyx_v_dst_type, Py_None);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"          <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6);\\n\",\n       \"          <span class='pyx_macro_api'>__Pyx_XDECREF_SET</span>(__pyx_v_type_match, __pyx_t_6);\\n\",\n       \"          __pyx_t_6 = 0;\\n\",\n       \"          __pyx_t_4 = (__pyx_v_type_match != Py_None);\\n\",\n       \"          if (__pyx_t_4) {\\n\",\n       \"            __pyx_t_20 = <span class='pyx_c_api'>__Pyx_PyList_Append</span>(__pyx_v_found_matches, __pyx_v_type_match);<span class='error_goto'> if (unlikely(__pyx_t_20 == ((int)-1))) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"          }\\n\",\n       \"        }\\n\",\n       \"        <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_1); __pyx_t_1 = 0;\\n\",\n       \"      }\\n\",\n       \"      <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_16); __pyx_t_16 = 0;\\n\",\n       \"    }\\n\",\n       \"    __pyx_L54:;\\n\",\n       \"    <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_v_found_matches);\\n\",\n       \"    <span class='pyx_macro_api'>__Pyx_DECREF_SET</span>(__pyx_v_sigindex_matches, __pyx_v_found_matches);\\n\",\n       \"    <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_v_found_candidates);\\n\",\n       \"    <span class='pyx_macro_api'>__Pyx_DECREF_SET</span>(__pyx_v_sigindex_candidates, __pyx_v_found_candidates);\\n\",\n       \"    __pyx_t_2 = (<span class='py_macro_api'>PyList_GET_SIZE</span>(__pyx_v_found_matches) != 0);\\n\",\n       \"    if (!__pyx_t_2) {\\n\",\n       \"    } else {\\n\",\n       \"      __pyx_t_4 = __pyx_t_2;\\n\",\n       \"      goto __pyx_L69_bool_binop_done;\\n\",\n       \"    }\\n\",\n       \"    __pyx_t_2 = (<span class='py_macro_api'>PyList_GET_SIZE</span>(__pyx_v_found_candidates) != 0);\\n\",\n       \"    __pyx_t_4 = __pyx_t_2;\\n\",\n       \"    __pyx_L69_bool_binop_done:;\\n\",\n       \"    __pyx_t_2 = (!__pyx_t_4);\\n\",\n       \"    if (__pyx_t_2) {\\n\",\n       \"      goto __pyx_L53_break;\\n\",\n       \"    }\\n\",\n       \"  }\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_13); __pyx_t_13 = 0;\\n\",\n       \"  goto __pyx_L71_for_end;\\n\",\n       \"  __pyx_L53_break:;\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_13); __pyx_t_13 = 0;\\n\",\n       \"  goto __pyx_L71_for_end;\\n\",\n       \"  __pyx_L71_for_end:;\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_INCREF</span>(__pyx_v_sigindex_matches);\\n\",\n       \"  __pyx_v_candidates = __pyx_v_sigindex_matches;\\n\",\n       \"  __pyx_t_2 = (<span class='py_macro_api'>PyList_GET_SIZE</span>(__pyx_v_candidates) != 0);\\n\",\n       \"  __pyx_t_4 = (!__pyx_t_2);\\n\",\n       \"  if (unlikely(__pyx_t_4)) {\\n\",\n       \"    __pyx_t_13 = <span class='pyx_c_api'>__Pyx_PyObject_Call</span>(__pyx_builtin_TypeError, __pyx_tuple__14, NULL);<span class='error_goto'> if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"    <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_13);\\n\",\n       \"    <span class='pyx_c_api'>__Pyx_Raise</span>(__pyx_t_13, 0, 0, 0);\\n\",\n       \"    <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_13); __pyx_t_13 = 0;\\n\",\n       \"    <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  }\\n\",\n       \"  __pyx_t_14 = <span class='pyx_c_api'>__Pyx_PyList_GET_SIZE</span>(__pyx_v_candidates);<span class='error_goto'> if (unlikely(__pyx_t_14 == ((Py_ssize_t)-1))) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  __pyx_t_4 = (__pyx_t_14 &gt; 1);\\n\",\n       \"  if (unlikely(__pyx_t_4)) {\\n\",\n       \"/* … */\\n\",\n       \"  __pyx_tuple__14 = <span class='py_c_api'>PyTuple_Pack</span>(1, __pyx_kp_s_No_matching_signature_found);<span class='error_goto'> if (unlikely(!__pyx_tuple__14)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_tuple__14);\\n\",\n       \"  <span class='refnanny'>__Pyx_GIVEREF</span>(__pyx_tuple__14);\\n\",\n       \"    __pyx_t_13 = <span class='pyx_c_api'>__Pyx_PyObject_Call</span>(__pyx_builtin_TypeError, __pyx_tuple__15, NULL);<span class='error_goto'> if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"    <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_13);\\n\",\n       \"    <span class='pyx_c_api'>__Pyx_Raise</span>(__pyx_t_13, 0, 0, 0);\\n\",\n       \"    <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_13); __pyx_t_13 = 0;\\n\",\n       \"    <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  }\\n\",\n       \"  /*else*/ {\\n\",\n       \"    <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_r);\\n\",\n       \"    if (unlikely(__pyx_v_signatures == Py_None)) {\\n\",\n       \"      <span class='py_c_api'>PyErr_SetString</span>(PyExc_TypeError, \\\"'NoneType' object is not subscriptable\\\");\\n\",\n       \"      <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"    }\\n\",\n       \"    __pyx_t_13 = <span class='pyx_c_api'>__Pyx_PyDict_GetItem</span>(((PyObject*)__pyx_v_signatures), <span class='py_macro_api'>PyList_GET_ITEM</span>(__pyx_v_candidates, 0));<span class='error_goto'> if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"    <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_13);\\n\",\n       \"    __pyx_r = __pyx_t_13;\\n\",\n       \"    __pyx_t_13 = 0;\\n\",\n       \"    goto __pyx_L0;\\n\",\n       \"  }\\n\",\n       \"\\n\",\n       \"  /* function exit code */\\n\",\n       \"  __pyx_L1_error:;\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_1);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_6);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_13);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_16);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_17);\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_AddTraceback</span>(\\\"_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d.__pyx_fused_cpdef\\\", __pyx_clineno, __pyx_lineno, __pyx_filename);\\n\",\n       \"  __pyx_r = NULL;\\n\",\n       \"  __pyx_L0:;\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_v_search_list);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_v_sigindex_node);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_v_dest_sig);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>((PyObject *)__pyx_v_ndarray);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_v_arg_as_memoryview);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_v_arg);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_v_dtype);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_v_arg_base);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_v_sig);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_v_sig_series);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_v_last_type);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_v_sig_type);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_v_sigindex_matches);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_v_sigindex_candidates);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_v_dst_type);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_v_found_matches);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_v_found_candidates);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_v_sn);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_v_type_match);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_v_candidates);\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_v_kwargs);\\n\",\n       \"  <span class='refnanny'>__Pyx_XGIVEREF</span>(__pyx_r);\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return __pyx_r;\\n\",\n       \"}\\n\",\n       \"\\n\",\n       \"/* Python wrapper */\\n\",\n       \"static PyObject *__pyx_fuse_0__pyx_pw_54_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d_3cy_fused_sum(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/\\n\",\n       \"static PyMethodDef __pyx_fuse_0__pyx_mdef_54_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d_3cy_fused_sum = {\\\"__pyx_fuse_0cy_fused_sum\\\", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_fuse_0__pyx_pw_54_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d_3cy_fused_sum, METH_VARARGS|METH_KEYWORDS, 0};\\n\",\n       \"static PyObject *__pyx_fuse_0__pyx_pw_54_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d_3cy_fused_sum(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {\\n\",\n       \"  PyArrayObject *__pyx_v_data = 0;\\n\",\n       \"  CYTHON_UNUSED Py_ssize_t __pyx_nargs;\\n\",\n       \"  CYTHON_UNUSED PyObject *const *__pyx_kwvalues;\\n\",\n       \"  PyObject *__pyx_r = 0;\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyDeclarations</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannySetupContext</span>(\\\"cy_fused_sum (wrapper)\\\", 0);\\n\",\n       \"  #if CYTHON_ASSUME_SAFE_MACROS\\n\",\n       \"  __pyx_nargs = <span class='py_macro_api'>PyTuple_GET_SIZE</span>(__pyx_args);\\n\",\n       \"  #else\\n\",\n       \"  __pyx_nargs = <span class='py_c_api'>PyTuple_Size</span>(__pyx_args); if (unlikely(__pyx_nargs &lt; 0)) return NULL;\\n\",\n       \"  #endif\\n\",\n       \"  __pyx_kwvalues = <span class='pyx_c_api'>__Pyx_KwValues_VARARGS</span>(__pyx_args, __pyx_nargs);\\n\",\n       \"  {\\n\",\n       \"    PyObject **__pyx_pyargnames[] = {&amp;__pyx_n_s_data,0};\\n\",\n       \"  PyObject* values[1] = {0};\\n\",\n       \"    if (__pyx_kwds) {\\n\",\n       \"      Py_ssize_t kw_args;\\n\",\n       \"      switch (__pyx_nargs) {\\n\",\n       \"        case  1: values[0] = <span class='pyx_c_api'>__Pyx_Arg_VARARGS</span>(__pyx_args, 0);\\n\",\n       \"        CYTHON_FALLTHROUGH;\\n\",\n       \"        case  0: break;\\n\",\n       \"        default: goto __pyx_L5_argtuple_error;\\n\",\n       \"      }\\n\",\n       \"      kw_args = <span class='pyx_c_api'>__Pyx_NumKwargs_VARARGS</span>(__pyx_kwds);\\n\",\n       \"      switch (__pyx_nargs) {\\n\",\n       \"        case  0:\\n\",\n       \"        if (likely((values[0] = <span class='pyx_c_api'>__Pyx_GetKwValue_VARARGS</span>(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_data)) != 0)) {\\n\",\n       \"          (void)<span class='pyx_c_api'>__Pyx_Arg_NewRef_VARARGS</span>(values[0]);\\n\",\n       \"          kw_args--;\\n\",\n       \"        }\\n\",\n       \"        else if (unlikely(<span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L3_error)</span>\\n\",\n       \"        else goto __pyx_L5_argtuple_error;\\n\",\n       \"      }\\n\",\n       \"      if (unlikely(kw_args &gt; 0)) {\\n\",\n       \"        const Py_ssize_t kwd_pos_args = __pyx_nargs;\\n\",\n       \"        if (unlikely(<span class='pyx_c_api'>__Pyx_ParseOptionalKeywords</span>(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values + 0, kwd_pos_args, \\\"cy_fused_sum\\\") &lt; 0)) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L3_error)</span>\\n\",\n       \"      }\\n\",\n       \"    } else if (unlikely(__pyx_nargs != 1)) {\\n\",\n       \"      goto __pyx_L5_argtuple_error;\\n\",\n       \"    } else {\\n\",\n       \"      values[0] = <span class='pyx_c_api'>__Pyx_Arg_VARARGS</span>(__pyx_args, 0);\\n\",\n       \"    }\\n\",\n       \"    __pyx_v_data = ((PyArrayObject *)values[0]);\\n\",\n       \"  }\\n\",\n       \"  goto __pyx_L6_skip;\\n\",\n       \"  __pyx_L5_argtuple_error:;\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_RaiseArgtupleInvalid</span>(\\\"cy_fused_sum\\\", 1, 1, 1, __pyx_nargs); <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L3_error)</span>\\n\",\n       \"  __pyx_L6_skip:;\\n\",\n       \"  goto __pyx_L4_argument_unpacking_done;\\n\",\n       \"  __pyx_L3_error:;\\n\",\n       \"  {\\n\",\n       \"    Py_ssize_t __pyx_temp;\\n\",\n       \"    for (__pyx_temp=0; __pyx_temp &lt; (Py_ssize_t)(sizeof(values)/sizeof(values[0])); ++__pyx_temp) {\\n\",\n       \"      <span class='pyx_c_api'>__Pyx_Arg_XDECREF_VARARGS</span>(values[__pyx_temp]);\\n\",\n       \"    }\\n\",\n       \"  }\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_AddTraceback</span>(\\\"_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d.cy_fused_sum\\\", __pyx_clineno, __pyx_lineno, __pyx_filename);\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return NULL;\\n\",\n       \"  __pyx_L4_argument_unpacking_done:;\\n\",\n       \"  if (unlikely(!<span class='pyx_c_api'>__Pyx_ArgTypeTest</span>(((PyObject *)__pyx_v_data), __pyx_ptype_5numpy_ndarray, 1, \\\"data\\\", 0))) <span class='error_goto'>__PYX_ERR(0, 10, __pyx_L1_error)</span>\\n\",\n       \"  __pyx_r = __pyx_pf_54_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d_2cy_fused_sum(__pyx_self, __pyx_v_data);\\n\",\n       \"  int __pyx_lineno = 0;\\n\",\n       \"  const char *__pyx_filename = NULL;\\n\",\n       \"  int __pyx_clineno = 0;\\n\",\n       \"\\n\",\n       \"  /* function exit code */\\n\",\n       \"  goto __pyx_L0;\\n\",\n       \"  __pyx_L1_error:;\\n\",\n       \"  __pyx_r = NULL;\\n\",\n       \"  __pyx_L0:;\\n\",\n       \"  {\\n\",\n       \"    Py_ssize_t __pyx_temp;\\n\",\n       \"    for (__pyx_temp=0; __pyx_temp &lt; (Py_ssize_t)(sizeof(values)/sizeof(values[0])); ++__pyx_temp) {\\n\",\n       \"      <span class='pyx_c_api'>__Pyx_Arg_XDECREF_VARARGS</span>(values[__pyx_temp]);\\n\",\n       \"    }\\n\",\n       \"  }\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return __pyx_r;\\n\",\n       \"}\\n\",\n       \"\\n\",\n       \"static PyObject *__pyx_pf_54_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d_2cy_fused_sum(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_data) {\\n\",\n       \"  __pyx_t_5numpy_int64_t __pyx_v_s;\\n\",\n       \"  int __pyx_v_n;\\n\",\n       \"  int __pyx_v_N;\\n\",\n       \"  __Pyx_LocalBuf_ND __pyx_pybuffernd_data;\\n\",\n       \"  __Pyx_Buffer __pyx_pybuffer_data;\\n\",\n       \"  PyObject *__pyx_r = NULL;\\n\",\n       \"  __pyx_pybuffer_data.pybuffer.buf = NULL;\\n\",\n       \"  __pyx_pybuffer_data.refcount = 0;\\n\",\n       \"  __pyx_pybuffernd_data.data = NULL;\\n\",\n       \"  __pyx_pybuffernd_data.rcbuffer = &amp;__pyx_pybuffer_data;\\n\",\n       \"  {\\n\",\n       \"    __Pyx_BufFmt_StackElem __pyx_stack[1];\\n\",\n       \"    if (unlikely(<span class='pyx_c_api'>__Pyx_GetBufferAndValidate</span>(&amp;__pyx_pybuffernd_data.rcbuffer-&gt;pybuffer, (PyObject*)__pyx_v_data, &amp;__Pyx_TypeInfo_nn___pyx_t_5numpy_int64_t, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  }\\n\",\n       \"  __pyx_pybuffernd_data.diminfo[0].strides = __pyx_pybuffernd_data.rcbuffer-&gt;pybuffer.strides[0]; __pyx_pybuffernd_data.diminfo[0].shape = __pyx_pybuffernd_data.rcbuffer-&gt;pybuffer.shape[0];\\n\",\n       \"/* … */\\n\",\n       \"  /* function exit code */\\n\",\n       \"  __pyx_L1_error:;\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_6);\\n\",\n       \"  { PyObject *__pyx_type, *__pyx_value, *__pyx_tb;\\n\",\n       \"    __Pyx_PyThreadState_declare\\n\",\n       \"    __Pyx_PyThreadState_assign\\n\",\n       \"    <span class='pyx_c_api'>__Pyx_ErrFetch</span>(&amp;__pyx_type, &amp;__pyx_value, &amp;__pyx_tb);\\n\",\n       \"    <span class='pyx_c_api'>__Pyx_SafeReleaseBuffer</span>(&amp;__pyx_pybuffernd_data.rcbuffer-&gt;pybuffer);\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_ErrRestore</span>(__pyx_type, __pyx_value, __pyx_tb);}\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_AddTraceback</span>(\\\"_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d.cy_fused_sum\\\", __pyx_clineno, __pyx_lineno, __pyx_filename);\\n\",\n       \"  __pyx_r = NULL;\\n\",\n       \"  goto __pyx_L2;\\n\",\n       \"  __pyx_L0:;\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_SafeReleaseBuffer</span>(&amp;__pyx_pybuffernd_data.rcbuffer-&gt;pybuffer);\\n\",\n       \"  __pyx_L2:;\\n\",\n       \"  <span class='refnanny'>__Pyx_XGIVEREF</span>(__pyx_r);\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return __pyx_r;\\n\",\n       \"}\\n\",\n       \"\\n\",\n       \"/* Python wrapper */\\n\",\n       \"static PyObject *__pyx_fuse_1__pyx_pw_54_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d_5cy_fused_sum(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/\\n\",\n       \"static PyMethodDef __pyx_fuse_1__pyx_mdef_54_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d_5cy_fused_sum = {\\\"__pyx_fuse_1cy_fused_sum\\\", (PyCFunction)(void*)(PyCFunctionWithKeywords)__pyx_fuse_1__pyx_pw_54_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d_5cy_fused_sum, METH_VARARGS|METH_KEYWORDS, 0};\\n\",\n       \"static PyObject *__pyx_fuse_1__pyx_pw_54_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d_5cy_fused_sum(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {\\n\",\n       \"  PyArrayObject *__pyx_v_data = 0;\\n\",\n       \"  CYTHON_UNUSED Py_ssize_t __pyx_nargs;\\n\",\n       \"  CYTHON_UNUSED PyObject *const *__pyx_kwvalues;\\n\",\n       \"  PyObject *__pyx_r = 0;\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyDeclarations</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannySetupContext</span>(\\\"cy_fused_sum (wrapper)\\\", 0);\\n\",\n       \"  #if CYTHON_ASSUME_SAFE_MACROS\\n\",\n       \"  __pyx_nargs = <span class='py_macro_api'>PyTuple_GET_SIZE</span>(__pyx_args);\\n\",\n       \"  #else\\n\",\n       \"  __pyx_nargs = <span class='py_c_api'>PyTuple_Size</span>(__pyx_args); if (unlikely(__pyx_nargs &lt; 0)) return NULL;\\n\",\n       \"  #endif\\n\",\n       \"  __pyx_kwvalues = <span class='pyx_c_api'>__Pyx_KwValues_VARARGS</span>(__pyx_args, __pyx_nargs);\\n\",\n       \"  {\\n\",\n       \"    PyObject **__pyx_pyargnames[] = {&amp;__pyx_n_s_data,0};\\n\",\n       \"  PyObject* values[1] = {0};\\n\",\n       \"    if (__pyx_kwds) {\\n\",\n       \"      Py_ssize_t kw_args;\\n\",\n       \"      switch (__pyx_nargs) {\\n\",\n       \"        case  1: values[0] = <span class='pyx_c_api'>__Pyx_Arg_VARARGS</span>(__pyx_args, 0);\\n\",\n       \"        CYTHON_FALLTHROUGH;\\n\",\n       \"        case  0: break;\\n\",\n       \"        default: goto __pyx_L5_argtuple_error;\\n\",\n       \"      }\\n\",\n       \"      kw_args = <span class='pyx_c_api'>__Pyx_NumKwargs_VARARGS</span>(__pyx_kwds);\\n\",\n       \"      switch (__pyx_nargs) {\\n\",\n       \"        case  0:\\n\",\n       \"        if (likely((values[0] = <span class='pyx_c_api'>__Pyx_GetKwValue_VARARGS</span>(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_data)) != 0)) {\\n\",\n       \"          (void)<span class='pyx_c_api'>__Pyx_Arg_NewRef_VARARGS</span>(values[0]);\\n\",\n       \"          kw_args--;\\n\",\n       \"        }\\n\",\n       \"        else if (unlikely(<span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L3_error)</span>\\n\",\n       \"        else goto __pyx_L5_argtuple_error;\\n\",\n       \"      }\\n\",\n       \"      if (unlikely(kw_args &gt; 0)) {\\n\",\n       \"        const Py_ssize_t kwd_pos_args = __pyx_nargs;\\n\",\n       \"        if (unlikely(<span class='pyx_c_api'>__Pyx_ParseOptionalKeywords</span>(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values + 0, kwd_pos_args, \\\"cy_fused_sum\\\") &lt; 0)) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L3_error)</span>\\n\",\n       \"      }\\n\",\n       \"    } else if (unlikely(__pyx_nargs != 1)) {\\n\",\n       \"      goto __pyx_L5_argtuple_error;\\n\",\n       \"    } else {\\n\",\n       \"      values[0] = <span class='pyx_c_api'>__Pyx_Arg_VARARGS</span>(__pyx_args, 0);\\n\",\n       \"    }\\n\",\n       \"    __pyx_v_data = ((PyArrayObject *)values[0]);\\n\",\n       \"  }\\n\",\n       \"  goto __pyx_L6_skip;\\n\",\n       \"  __pyx_L5_argtuple_error:;\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_RaiseArgtupleInvalid</span>(\\\"cy_fused_sum\\\", 1, 1, 1, __pyx_nargs); <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L3_error)</span>\\n\",\n       \"  __pyx_L6_skip:;\\n\",\n       \"  goto __pyx_L4_argument_unpacking_done;\\n\",\n       \"  __pyx_L3_error:;\\n\",\n       \"  {\\n\",\n       \"    Py_ssize_t __pyx_temp;\\n\",\n       \"    for (__pyx_temp=0; __pyx_temp &lt; (Py_ssize_t)(sizeof(values)/sizeof(values[0])); ++__pyx_temp) {\\n\",\n       \"      <span class='pyx_c_api'>__Pyx_Arg_XDECREF_VARARGS</span>(values[__pyx_temp]);\\n\",\n       \"    }\\n\",\n       \"  }\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_AddTraceback</span>(\\\"_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d.cy_fused_sum\\\", __pyx_clineno, __pyx_lineno, __pyx_filename);\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return NULL;\\n\",\n       \"  __pyx_L4_argument_unpacking_done:;\\n\",\n       \"  if (unlikely(!<span class='pyx_c_api'>__Pyx_ArgTypeTest</span>(((PyObject *)__pyx_v_data), __pyx_ptype_5numpy_ndarray, 1, \\\"data\\\", 0))) <span class='error_goto'>__PYX_ERR(0, 10, __pyx_L1_error)</span>\\n\",\n       \"  __pyx_r = __pyx_pf_54_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d_4cy_fused_sum(__pyx_self, __pyx_v_data);\\n\",\n       \"  int __pyx_lineno = 0;\\n\",\n       \"  const char *__pyx_filename = NULL;\\n\",\n       \"  int __pyx_clineno = 0;\\n\",\n       \"\\n\",\n       \"  /* function exit code */\\n\",\n       \"  goto __pyx_L0;\\n\",\n       \"  __pyx_L1_error:;\\n\",\n       \"  __pyx_r = NULL;\\n\",\n       \"  __pyx_L0:;\\n\",\n       \"  {\\n\",\n       \"    Py_ssize_t __pyx_temp;\\n\",\n       \"    for (__pyx_temp=0; __pyx_temp &lt; (Py_ssize_t)(sizeof(values)/sizeof(values[0])); ++__pyx_temp) {\\n\",\n       \"      <span class='pyx_c_api'>__Pyx_Arg_XDECREF_VARARGS</span>(values[__pyx_temp]);\\n\",\n       \"    }\\n\",\n       \"  }\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return __pyx_r;\\n\",\n       \"}\\n\",\n       \"\\n\",\n       \"static PyObject *__pyx_pf_54_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d_4cy_fused_sum(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_data) {\\n\",\n       \"  __pyx_t_5numpy_float64_t __pyx_v_s;\\n\",\n       \"  int __pyx_v_n;\\n\",\n       \"  int __pyx_v_N;\\n\",\n       \"  __Pyx_LocalBuf_ND __pyx_pybuffernd_data;\\n\",\n       \"  __Pyx_Buffer __pyx_pybuffer_data;\\n\",\n       \"  PyObject *__pyx_r = NULL;\\n\",\n       \"  __pyx_pybuffer_data.pybuffer.buf = NULL;\\n\",\n       \"  __pyx_pybuffer_data.refcount = 0;\\n\",\n       \"  __pyx_pybuffernd_data.data = NULL;\\n\",\n       \"  __pyx_pybuffernd_data.rcbuffer = &amp;__pyx_pybuffer_data;\\n\",\n       \"  {\\n\",\n       \"    __Pyx_BufFmt_StackElem __pyx_stack[1];\\n\",\n       \"    if (unlikely(<span class='pyx_c_api'>__Pyx_GetBufferAndValidate</span>(&amp;__pyx_pybuffernd_data.rcbuffer-&gt;pybuffer, (PyObject*)__pyx_v_data, &amp;__Pyx_TypeInfo_nn___pyx_t_5numpy_float64_t, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  }\\n\",\n       \"  __pyx_pybuffernd_data.diminfo[0].strides = __pyx_pybuffernd_data.rcbuffer-&gt;pybuffer.strides[0]; __pyx_pybuffernd_data.diminfo[0].shape = __pyx_pybuffernd_data.rcbuffer-&gt;pybuffer.shape[0];\\n\",\n       \"/* … */\\n\",\n       \"  /* function exit code */\\n\",\n       \"  __pyx_L1_error:;\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_6);\\n\",\n       \"  { PyObject *__pyx_type, *__pyx_value, *__pyx_tb;\\n\",\n       \"    __Pyx_PyThreadState_declare\\n\",\n       \"    __Pyx_PyThreadState_assign\\n\",\n       \"    <span class='pyx_c_api'>__Pyx_ErrFetch</span>(&amp;__pyx_type, &amp;__pyx_value, &amp;__pyx_tb);\\n\",\n       \"    <span class='pyx_c_api'>__Pyx_SafeReleaseBuffer</span>(&amp;__pyx_pybuffernd_data.rcbuffer-&gt;pybuffer);\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_ErrRestore</span>(__pyx_type, __pyx_value, __pyx_tb);}\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_AddTraceback</span>(\\\"_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d.cy_fused_sum\\\", __pyx_clineno, __pyx_lineno, __pyx_filename);\\n\",\n       \"  __pyx_r = NULL;\\n\",\n       \"  goto __pyx_L2;\\n\",\n       \"  __pyx_L0:;\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_SafeReleaseBuffer</span>(&amp;__pyx_pybuffernd_data.rcbuffer-&gt;pybuffer);\\n\",\n       \"  __pyx_L2:;\\n\",\n       \"  <span class='refnanny'>__Pyx_XGIVEREF</span>(__pyx_r);\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return __pyx_r;\\n\",\n       \"}\\n\",\n       \"  __pyx_tuple__15 = <span class='py_c_api'>PyTuple_Pack</span>(1, __pyx_kp_s_Function_call_with_ambiguous_arg);<span class='error_goto'> if (unlikely(!__pyx_tuple__15)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_tuple__15);\\n\",\n       \"  <span class='refnanny'>__Pyx_GIVEREF</span>(__pyx_tuple__15);\\n\",\n       \"/* … */\\n\",\n       \"  __pyx_tuple__27 = <span class='py_c_api'>PyTuple_Pack</span>(4, __pyx_n_s_data, __pyx_n_s_s, __pyx_n_s_n, __pyx_n_s_N);<span class='error_goto'> if (unlikely(!__pyx_tuple__27)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_tuple__27);\\n\",\n       \"  <span class='refnanny'>__Pyx_GIVEREF</span>(__pyx_tuple__27);\\n\",\n       \"/* … */\\n\",\n       \"  __pyx_t_7 = <span class='pyx_c_api'>__Pyx_PyDict_NewPresized</span>(2);<span class='error_goto'> if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_7);\\n\",\n       \"  __pyx_t_4 = __pyx_FusedFunction_New(&amp;__pyx_fuse_0__pyx_mdef_54_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d_3cy_fused_sum, 0, __pyx_n_s_cy_fused_sum, NULL, __pyx_n_s_cython_magic_c9ea336cdf929fb6c3, __pyx_d, ((PyObject *)__pyx_codeobj__28));<span class='error_goto'> if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_4);\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_CyFunction_SetDefaultsTuple</span>(__pyx_t_4, __pyx_empty_tuple);\\n\",\n       \"  if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_t_7, __pyx_n_s_int64_t, __pyx_t_4) &lt; 0) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_4); __pyx_t_4 = 0;\\n\",\n       \"  __pyx_t_4 = __pyx_FusedFunction_New(&amp;__pyx_fuse_1__pyx_mdef_54_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d_5cy_fused_sum, 0, __pyx_n_s_cy_fused_sum, NULL, __pyx_n_s_cython_magic_c9ea336cdf929fb6c3, __pyx_d, ((PyObject *)__pyx_codeobj__28));<span class='error_goto'> if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_4);\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_CyFunction_SetDefaultsTuple</span>(__pyx_t_4, __pyx_empty_tuple);\\n\",\n       \"  if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_t_7, __pyx_n_s_float64_t, __pyx_t_4) &lt; 0) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_4); __pyx_t_4 = 0;\\n\",\n       \"  __pyx_t_4 = __pyx_FusedFunction_New(&amp;__pyx_mdef_54_cython_magic_c9ea336cdf929fb6c33bee737b5729b0932d7e9d_1cy_fused_sum, 0, __pyx_n_s_cy_fused_sum, NULL, __pyx_n_s_cython_magic_c9ea336cdf929fb6c3, __pyx_d, ((PyObject *)__pyx_codeobj__28));<span class='error_goto'> if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_4);\\n\",\n       \"  if (!<span class='pyx_c_api'>__Pyx_CyFunction_InitDefaults</span>(__pyx_t_4, sizeof(__pyx_defaults), 1)) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  __pyx_t_5 = <span class='pyx_c_api'>__Pyx_PyDict_NewPresized</span>(0);<span class='error_goto'> if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_5);\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_CyFunction_Defaults</span>(__pyx_defaults, __pyx_t_4)-&gt;__pyx_arg__fused_sigindex = __pyx_t_5;\\n\",\n       \"  <span class='refnanny'>__Pyx_GIVEREF</span>(__pyx_t_5);\\n\",\n       \"  __pyx_t_5 = 0;\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_CyFunction_SetDefaultsTuple</span>(__pyx_t_4, __pyx_empty_tuple);\\n\",\n       \"  ((__pyx_FusedFunctionObject *) __pyx_t_4)-&gt;__signatures__ = __pyx_t_7;\\n\",\n       \"  <span class='refnanny'>__Pyx_GIVEREF</span>(__pyx_t_7);\\n\",\n       \"  __pyx_t_7 = 0;\\n\",\n       \"  if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_d, __pyx_n_s_cy_fused_sum, __pyx_t_4) &lt; 0) <span class='error_goto'>__PYX_ERR(0, 8, __pyx_L1_error)</span>\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_4); __pyx_t_4 = 0;\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">09</span>: <span class=\\\"nd\\\">@cython</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">wraparound</span><span class=\\\"p\\\">(</span><span class=\\\"bp\\\">False</span><span class=\\\"p\\\">)</span></pre>\\n\",\n       \"<pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">10</span>: <span class=\\\"k\\\">def</span> <span class=\\\"nf\\\">cy_fused_sum</span><span class=\\\"p\\\">(</span><span class=\\\"n\\\">numpy</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">ndarray</span><span class=\\\"p\\\">[</span><span class=\\\"n\\\">I_OR_F_t</span><span class=\\\"p\\\">,</span> <span class=\\\"n\\\">ndim</span><span class=\\\"o\\\">=</span><span class=\\\"mf\\\">1</span><span class=\\\"p\\\">]</span> <span class=\\\"n\\\">data</span><span class=\\\"p\\\">):</span></pre>\\n\",\n       \"<pre class=\\\"cython line score-0\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">11</span>:     <span class=\\\"k\\\">cdef</span> <span class=\\\"kt\\\">I_OR_F_t</span> <span class=\\\"nf\\\">s</span> <span class=\\\"o\\\">=</span> <span class=\\\"mf\\\">0</span></pre>\\n\",\n       \"<pre class='cython code score-0 '>  __pyx_v_s = 0;\\n\",\n       \"/* … */\\n\",\n       \"  __pyx_v_s = 0.0;\\n\",\n       \"</pre><pre class=\\\"cython line score-10\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">12</span>:     <span class=\\\"k\\\">cdef</span> <span class=\\\"kt\\\">int</span> <span class=\\\"nf\\\">n</span><span class=\\\"p\\\">,</span> <span class=\\\"nf\\\">N</span> <span class=\\\"o\\\">=</span> <span class=\\\"n\\\">data</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">size</span></pre>\\n\",\n       \"<pre class='cython code score-10 '>  __pyx_t_1 = __pyx_f_5numpy_7ndarray_4size_size(((PyArrayObject *)__pyx_v_data)); if (unlikely(__pyx_t_1 == ((npy_intp)-1) &amp;&amp; <span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 12, __pyx_L1_error)</span>\\n\",\n       \"  __pyx_v_N = __pyx_t_1;\\n\",\n       \"/* … */\\n\",\n       \"  __pyx_t_1 = __pyx_f_5numpy_7ndarray_4size_size(((PyArrayObject *)__pyx_v_data)); if (unlikely(__pyx_t_1 == ((npy_intp)-1) &amp;&amp; <span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 12, __pyx_L1_error)</span>\\n\",\n       \"  __pyx_v_N = __pyx_t_1;\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">13</span>:     <span class=\\\"k\\\">for</span> <span class=\\\"n\\\">n</span> <span class=\\\"ow\\\">in</span> <span class=\\\"nb\\\">range</span><span class=\\\"p\\\">(</span><span class=\\\"n\\\">N</span><span class=\\\"p\\\">):</span></pre>\\n\",\n       \"<pre class='cython code score-0 '>  __pyx_t_2 = __pyx_v_N;\\n\",\n       \"  __pyx_t_3 = __pyx_t_2;\\n\",\n       \"  for (__pyx_t_4 = 0; __pyx_t_4 &lt; __pyx_t_3; __pyx_t_4+=1) {\\n\",\n       \"    __pyx_v_n = __pyx_t_4;\\n\",\n       \"/* … */\\n\",\n       \"  __pyx_t_2 = __pyx_v_N;\\n\",\n       \"  __pyx_t_3 = __pyx_t_2;\\n\",\n       \"  for (__pyx_t_4 = 0; __pyx_t_4 &lt; __pyx_t_3; __pyx_t_4+=1) {\\n\",\n       \"    __pyx_v_n = __pyx_t_4;\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">14</span>:         <span class=\\\"n\\\">s</span> <span class=\\\"o\\\">+=</span> <span class=\\\"n\\\">data</span><span class=\\\"p\\\">[</span><span class=\\\"n\\\">n</span><span class=\\\"p\\\">]</span></pre>\\n\",\n       \"<pre class='cython code score-0 '>    __pyx_t_5 = __pyx_v_n;\\n\",\n       \"    __pyx_v_s = (__pyx_v_s + (*__Pyx_BufPtrStrided1d(__pyx_t_5numpy_int64_t *, __pyx_pybuffernd_data.rcbuffer-&gt;pybuffer.buf, __pyx_t_5, __pyx_pybuffernd_data.diminfo[0].strides)));\\n\",\n       \"  }\\n\",\n       \"/* … */\\n\",\n       \"    __pyx_t_5 = __pyx_v_n;\\n\",\n       \"    __pyx_v_s = (__pyx_v_s + (*__Pyx_BufPtrStrided1d(__pyx_t_5numpy_float64_t *, __pyx_pybuffernd_data.rcbuffer-&gt;pybuffer.buf, __pyx_t_5, __pyx_pybuffernd_data.diminfo[0].strides)));\\n\",\n       \"  }\\n\",\n       \"</pre><pre class=\\\"cython line score-7\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">15</span>:     <span class=\\\"k\\\">return</span> <span class=\\\"n\\\">s</span></pre>\\n\",\n       \"<pre class='cython code score-7 '>  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_r);\\n\",\n       \"  __pyx_t_6 = __Pyx_PyInt_From_npy_int64(__pyx_v_s);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 15, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6);\\n\",\n       \"  __pyx_r = __pyx_t_6;\\n\",\n       \"  __pyx_t_6 = 0;\\n\",\n       \"  goto __pyx_L0;\\n\",\n       \"/* … */\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_r);\\n\",\n       \"  __pyx_t_6 = <span class='py_c_api'>PyFloat_FromDouble</span>(__pyx_v_s);<span class='error_goto'> if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 15, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_6);\\n\",\n       \"  __pyx_r = __pyx_t_6;\\n\",\n       \"  __pyx_t_6 = 0;\\n\",\n       \"  goto __pyx_L0;\\n\",\n       \"</pre></div></body></html>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"execution_count\": 82,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%%cython -a\\n\",\n    \"cimport numpy\\n\",\n    \"cimport cython\\n\",\n    \"\\n\",\n    \"ctypedef fused I_OR_F_t:\\n\",\n    \"    numpy.int64_t \\n\",\n    \"    numpy.float64_t \\n\",\n    \"\\n\",\n    \"@cython.boundscheck(False)\\n\",\n    \"@cython.wraparound(False)\\n\",\n    \"def cy_fused_sum(numpy.ndarray[I_OR_F_t, ndim=1] data):\\n\",\n    \"    cdef I_OR_F_t s = 0\\n\",\n    \"    cdef int n, N = data.size\\n\",\n    \"    for n in range(N):\\n\",\n    \"        s += data[n]\\n\",\n    \"    return s\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 83,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"15.0\"\n      ]\n     },\n     \"execution_count\": 83,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"cy_fused_sum(np.array([1.0, 2.0, 3.0, 4.0, 5.0]))\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 84,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"text/plain\": [\n       \"15\"\n      ]\n     },\n     \"execution_count\": 84,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"cy_fused_sum(np.array([1, 2, 3, 4, 5]))\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Julia fractal\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 85,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"Content of stderr:\\n\",\n      \"In file included from /opt/conda/envs/npbook_py310/lib/python3.10/site-packages/numpy/core/include/numpy/ndarraytypes.h:1929,\\n\",\n      \"                 from /opt/conda/envs/npbook_py310/lib/python3.10/site-packages/numpy/core/include/numpy/ndarrayobject.h:12,\\n\",\n      \"                 from /opt/conda/envs/npbook_py310/lib/python3.10/site-packages/numpy/core/include/numpy/arrayobject.h:5,\\n\",\n      \"                 from /home/rob/.cache/ipython/cython/_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c.c:1253:\\n\",\n      \"/opt/conda/envs/npbook_py310/lib/python3.10/site-packages/numpy/core/include/numpy/npy_1_7_deprecated_api.h:17:2: warning: #warning \\\"Using deprecated NumPy API, disable it with \\\" \\\"#define NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION\\\" [-Wcpp]\\n\",\n      \"   17 | #warning \\\"Using deprecated NumPy API, disable it with \\\" \\\\\\n\",\n      \"      |  ^~~~~~~\"\n     ]\n    },\n    {\n     \"data\": {\n      \"text/html\": [\n       \"<!DOCTYPE html>\\n\",\n       \"<!-- Generated by Cython 3.0.11 -->\\n\",\n       \"<html>\\n\",\n       \"<head>\\n\",\n       \"    <meta http-equiv=\\\"Content-Type\\\" content=\\\"text/html; charset=utf-8\\\" />\\n\",\n       \"    <title>Cython: _cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c.pyx</title>\\n\",\n       \"    <style type=\\\"text/css\\\">\\n\",\n       \"    \\n\",\n       \"body.cython { font-family: courier; font-size: 12; }\\n\",\n       \"\\n\",\n       \".cython.tag  {  }\\n\",\n       \".cython.line { color: #000000; margin: 0em }\\n\",\n       \".cython.code { font-size: 9; color: #444444; display: none; margin: 0px 0px 0px 8px; border-left: 8px none; }\\n\",\n       \"\\n\",\n       \".cython.line .run { background-color: #B0FFB0; }\\n\",\n       \".cython.line .mis { background-color: #FFB0B0; }\\n\",\n       \".cython.code.run  { border-left: 8px solid #B0FFB0; }\\n\",\n       \".cython.code.mis  { border-left: 8px solid #FFB0B0; }\\n\",\n       \"\\n\",\n       \".cython.code .py_c_api  { color: red; }\\n\",\n       \".cython.code .py_macro_api  { color: #FF7000; }\\n\",\n       \".cython.code .pyx_c_api  { color: #FF3000; }\\n\",\n       \".cython.code .pyx_macro_api  { color: #FF7000; }\\n\",\n       \".cython.code .refnanny  { color: #FFA000; }\\n\",\n       \".cython.code .trace  { color: #FFA000; }\\n\",\n       \".cython.code .error_goto  { color: #FFA000; }\\n\",\n       \"\\n\",\n       \".cython.code .coerce  { color: #008000; border: 1px dotted #008000 }\\n\",\n       \".cython.code .py_attr { color: #FF0000; font-weight: bold; }\\n\",\n       \".cython.code .c_attr  { color: #0000FF; }\\n\",\n       \".cython.code .py_call { color: #FF0000; font-weight: bold; }\\n\",\n       \".cython.code .c_call  { color: #0000FF; }\\n\",\n       \"\\n\",\n       \".cython.score-0 {background-color: #FFFFff;}\\n\",\n       \".cython.score-1 {background-color: #FFFFe7;}\\n\",\n       \".cython.score-2 {background-color: #FFFFd4;}\\n\",\n       \".cython.score-3 {background-color: #FFFFc4;}\\n\",\n       \".cython.score-4 {background-color: #FFFFb6;}\\n\",\n       \".cython.score-5 {background-color: #FFFFaa;}\\n\",\n       \".cython.score-6 {background-color: #FFFF9f;}\\n\",\n       \".cython.score-7 {background-color: #FFFF96;}\\n\",\n       \".cython.score-8 {background-color: #FFFF8d;}\\n\",\n       \".cython.score-9 {background-color: #FFFF86;}\\n\",\n       \".cython.score-10 {background-color: #FFFF7f;}\\n\",\n       \".cython.score-11 {background-color: #FFFF79;}\\n\",\n       \".cython.score-12 {background-color: #FFFF73;}\\n\",\n       \".cython.score-13 {background-color: #FFFF6e;}\\n\",\n       \".cython.score-14 {background-color: #FFFF6a;}\\n\",\n       \".cython.score-15 {background-color: #FFFF66;}\\n\",\n       \".cython.score-16 {background-color: #FFFF62;}\\n\",\n       \".cython.score-17 {background-color: #FFFF5e;}\\n\",\n       \".cython.score-18 {background-color: #FFFF5b;}\\n\",\n       \".cython.score-19 {background-color: #FFFF57;}\\n\",\n       \".cython.score-20 {background-color: #FFFF55;}\\n\",\n       \".cython.score-21 {background-color: #FFFF52;}\\n\",\n       \".cython.score-22 {background-color: #FFFF4f;}\\n\",\n       \".cython.score-23 {background-color: #FFFF4d;}\\n\",\n       \".cython.score-24 {background-color: #FFFF4b;}\\n\",\n       \".cython.score-25 {background-color: #FFFF48;}\\n\",\n       \".cython.score-26 {background-color: #FFFF46;}\\n\",\n       \".cython.score-27 {background-color: #FFFF44;}\\n\",\n       \".cython.score-28 {background-color: #FFFF43;}\\n\",\n       \".cython.score-29 {background-color: #FFFF41;}\\n\",\n       \".cython.score-30 {background-color: #FFFF3f;}\\n\",\n       \".cython.score-31 {background-color: #FFFF3e;}\\n\",\n       \".cython.score-32 {background-color: #FFFF3c;}\\n\",\n       \".cython.score-33 {background-color: #FFFF3b;}\\n\",\n       \".cython.score-34 {background-color: #FFFF39;}\\n\",\n       \".cython.score-35 {background-color: #FFFF38;}\\n\",\n       \".cython.score-36 {background-color: #FFFF37;}\\n\",\n       \".cython.score-37 {background-color: #FFFF36;}\\n\",\n       \".cython.score-38 {background-color: #FFFF35;}\\n\",\n       \".cython.score-39 {background-color: #FFFF34;}\\n\",\n       \".cython.score-40 {background-color: #FFFF33;}\\n\",\n       \".cython.score-41 {background-color: #FFFF32;}\\n\",\n       \".cython.score-42 {background-color: #FFFF31;}\\n\",\n       \".cython.score-43 {background-color: #FFFF30;}\\n\",\n       \".cython.score-44 {background-color: #FFFF2f;}\\n\",\n       \".cython.score-45 {background-color: #FFFF2e;}\\n\",\n       \".cython.score-46 {background-color: #FFFF2d;}\\n\",\n       \".cython.score-47 {background-color: #FFFF2c;}\\n\",\n       \".cython.score-48 {background-color: #FFFF2b;}\\n\",\n       \".cython.score-49 {background-color: #FFFF2b;}\\n\",\n       \".cython.score-50 {background-color: #FFFF2a;}\\n\",\n       \".cython.score-51 {background-color: #FFFF29;}\\n\",\n       \".cython.score-52 {background-color: #FFFF29;}\\n\",\n       \".cython.score-53 {background-color: #FFFF28;}\\n\",\n       \".cython.score-54 {background-color: #FFFF27;}\\n\",\n       \".cython.score-55 {background-color: #FFFF27;}\\n\",\n       \".cython.score-56 {background-color: #FFFF26;}\\n\",\n       \".cython.score-57 {background-color: #FFFF26;}\\n\",\n       \".cython.score-58 {background-color: #FFFF25;}\\n\",\n       \".cython.score-59 {background-color: #FFFF24;}\\n\",\n       \".cython.score-60 {background-color: #FFFF24;}\\n\",\n       \".cython.score-61 {background-color: #FFFF23;}\\n\",\n       \".cython.score-62 {background-color: #FFFF23;}\\n\",\n       \".cython.score-63 {background-color: #FFFF22;}\\n\",\n       \".cython.score-64 {background-color: #FFFF22;}\\n\",\n       \".cython.score-65 {background-color: #FFFF22;}\\n\",\n       \".cython.score-66 {background-color: #FFFF21;}\\n\",\n       \".cython.score-67 {background-color: #FFFF21;}\\n\",\n       \".cython.score-68 {background-color: #FFFF20;}\\n\",\n       \".cython.score-69 {background-color: #FFFF20;}\\n\",\n       \".cython.score-70 {background-color: #FFFF1f;}\\n\",\n       \".cython.score-71 {background-color: #FFFF1f;}\\n\",\n       \".cython.score-72 {background-color: #FFFF1f;}\\n\",\n       \".cython.score-73 {background-color: #FFFF1e;}\\n\",\n       \".cython.score-74 {background-color: #FFFF1e;}\\n\",\n       \".cython.score-75 {background-color: #FFFF1e;}\\n\",\n       \".cython.score-76 {background-color: #FFFF1d;}\\n\",\n       \".cython.score-77 {background-color: #FFFF1d;}\\n\",\n       \".cython.score-78 {background-color: #FFFF1c;}\\n\",\n       \".cython.score-79 {background-color: #FFFF1c;}\\n\",\n       \".cython.score-80 {background-color: #FFFF1c;}\\n\",\n       \".cython.score-81 {background-color: #FFFF1c;}\\n\",\n       \".cython.score-82 {background-color: #FFFF1b;}\\n\",\n       \".cython.score-83 {background-color: #FFFF1b;}\\n\",\n       \".cython.score-84 {background-color: #FFFF1b;}\\n\",\n       \".cython.score-85 {background-color: #FFFF1a;}\\n\",\n       \".cython.score-86 {background-color: #FFFF1a;}\\n\",\n       \".cython.score-87 {background-color: #FFFF1a;}\\n\",\n       \".cython.score-88 {background-color: #FFFF1a;}\\n\",\n       \".cython.score-89 {background-color: #FFFF19;}\\n\",\n       \".cython.score-90 {background-color: #FFFF19;}\\n\",\n       \".cython.score-91 {background-color: #FFFF19;}\\n\",\n       \".cython.score-92 {background-color: #FFFF19;}\\n\",\n       \".cython.score-93 {background-color: #FFFF18;}\\n\",\n       \".cython.score-94 {background-color: #FFFF18;}\\n\",\n       \".cython.score-95 {background-color: #FFFF18;}\\n\",\n       \".cython.score-96 {background-color: #FFFF18;}\\n\",\n       \".cython.score-97 {background-color: #FFFF17;}\\n\",\n       \".cython.score-98 {background-color: #FFFF17;}\\n\",\n       \".cython.score-99 {background-color: #FFFF17;}\\n\",\n       \".cython.score-100 {background-color: #FFFF17;}\\n\",\n       \".cython.score-101 {background-color: #FFFF16;}\\n\",\n       \".cython.score-102 {background-color: #FFFF16;}\\n\",\n       \".cython.score-103 {background-color: #FFFF16;}\\n\",\n       \".cython.score-104 {background-color: #FFFF16;}\\n\",\n       \".cython.score-105 {background-color: #FFFF16;}\\n\",\n       \".cython.score-106 {background-color: #FFFF15;}\\n\",\n       \".cython.score-107 {background-color: #FFFF15;}\\n\",\n       \".cython.score-108 {background-color: #FFFF15;}\\n\",\n       \".cython.score-109 {background-color: #FFFF15;}\\n\",\n       \".cython.score-110 {background-color: #FFFF15;}\\n\",\n       \".cython.score-111 {background-color: #FFFF15;}\\n\",\n       \".cython.score-112 {background-color: #FFFF14;}\\n\",\n       \".cython.score-113 {background-color: #FFFF14;}\\n\",\n       \".cython.score-114 {background-color: #FFFF14;}\\n\",\n       \".cython.score-115 {background-color: #FFFF14;}\\n\",\n       \".cython.score-116 {background-color: #FFFF14;}\\n\",\n       \".cython.score-117 {background-color: #FFFF14;}\\n\",\n       \".cython.score-118 {background-color: #FFFF13;}\\n\",\n       \".cython.score-119 {background-color: #FFFF13;}\\n\",\n       \".cython.score-120 {background-color: #FFFF13;}\\n\",\n       \".cython.score-121 {background-color: #FFFF13;}\\n\",\n       \".cython.score-122 {background-color: #FFFF13;}\\n\",\n       \".cython.score-123 {background-color: #FFFF13;}\\n\",\n       \".cython.score-124 {background-color: #FFFF13;}\\n\",\n       \".cython.score-125 {background-color: #FFFF12;}\\n\",\n       \".cython.score-126 {background-color: #FFFF12;}\\n\",\n       \".cython.score-127 {background-color: #FFFF12;}\\n\",\n       \".cython.score-128 {background-color: #FFFF12;}\\n\",\n       \".cython.score-129 {background-color: #FFFF12;}\\n\",\n       \".cython.score-130 {background-color: #FFFF12;}\\n\",\n       \".cython.score-131 {background-color: #FFFF12;}\\n\",\n       \".cython.score-132 {background-color: #FFFF11;}\\n\",\n       \".cython.score-133 {background-color: #FFFF11;}\\n\",\n       \".cython.score-134 {background-color: #FFFF11;}\\n\",\n       \".cython.score-135 {background-color: #FFFF11;}\\n\",\n       \".cython.score-136 {background-color: #FFFF11;}\\n\",\n       \".cython.score-137 {background-color: #FFFF11;}\\n\",\n       \".cython.score-138 {background-color: #FFFF11;}\\n\",\n       \".cython.score-139 {background-color: #FFFF11;}\\n\",\n       \".cython.score-140 {background-color: #FFFF11;}\\n\",\n       \".cython.score-141 {background-color: #FFFF10;}\\n\",\n       \".cython.score-142 {background-color: #FFFF10;}\\n\",\n       \".cython.score-143 {background-color: #FFFF10;}\\n\",\n       \".cython.score-144 {background-color: #FFFF10;}\\n\",\n       \".cython.score-145 {background-color: #FFFF10;}\\n\",\n       \".cython.score-146 {background-color: #FFFF10;}\\n\",\n       \".cython.score-147 {background-color: #FFFF10;}\\n\",\n       \".cython.score-148 {background-color: #FFFF10;}\\n\",\n       \".cython.score-149 {background-color: #FFFF10;}\\n\",\n       \".cython.score-150 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-151 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-152 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-153 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-154 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-155 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-156 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-157 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-158 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-159 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-160 {background-color: #FFFF0f;}\\n\",\n       \".cython.score-161 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-162 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-163 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-164 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-165 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-166 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-167 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-168 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-169 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-170 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-171 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-172 {background-color: #FFFF0e;}\\n\",\n       \".cython.score-173 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-174 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-175 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-176 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-177 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-178 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-179 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-180 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-181 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-182 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-183 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-184 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-185 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-186 {background-color: #FFFF0d;}\\n\",\n       \".cython.score-187 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-188 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-189 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-190 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-191 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-192 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-193 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-194 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-195 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-196 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-197 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-198 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-199 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-200 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-201 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-202 {background-color: #FFFF0c;}\\n\",\n       \".cython.score-203 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-204 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-205 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-206 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-207 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-208 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-209 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-210 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-211 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-212 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-213 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-214 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-215 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-216 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-217 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-218 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-219 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-220 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-221 {background-color: #FFFF0b;}\\n\",\n       \".cython.score-222 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-223 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-224 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-225 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-226 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-227 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-228 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-229 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-230 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-231 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-232 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-233 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-234 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-235 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-236 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-237 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-238 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-239 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-240 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-241 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-242 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-243 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-244 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-245 {background-color: #FFFF0a;}\\n\",\n       \".cython.score-246 {background-color: #FFFF09;}\\n\",\n       \".cython.score-247 {background-color: #FFFF09;}\\n\",\n       \".cython.score-248 {background-color: #FFFF09;}\\n\",\n       \".cython.score-249 {background-color: #FFFF09;}\\n\",\n       \".cython.score-250 {background-color: #FFFF09;}\\n\",\n       \".cython.score-251 {background-color: #FFFF09;}\\n\",\n       \".cython.score-252 {background-color: #FFFF09;}\\n\",\n       \".cython.score-253 {background-color: #FFFF09;}\\n\",\n       \".cython.score-254 {background-color: #FFFF09;}\\n\",\n       \".cython .hll { background-color: #ffffcc }\\n\",\n       \".cython  { background: #f8f8f8; }\\n\",\n       \".cython .c { color: #408080; font-style: italic } /* Comment */\\n\",\n       \".cython .err { border: 1px solid #FF0000 } /* Error */\\n\",\n       \".cython .k { color: #008000; font-weight: bold } /* Keyword */\\n\",\n       \".cython .o { color: #666666 } /* Operator */\\n\",\n       \".cython .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n\",\n       \".cython .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n\",\n       \".cython .cp { color: #BC7A00 } /* Comment.Preproc */\\n\",\n       \".cython .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n\",\n       \".cython .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n\",\n       \".cython .cs { color: #408080; font-style: italic } /* Comment.Special */\\n\",\n       \".cython .gd { color: #A00000 } /* Generic.Deleted */\\n\",\n       \".cython .ge { font-style: italic } /* Generic.Emph */\\n\",\n       \".cython .gr { color: #FF0000 } /* Generic.Error */\\n\",\n       \".cython .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n\",\n       \".cython .gi { color: #00A000 } /* Generic.Inserted */\\n\",\n       \".cython .go { color: #888888 } /* Generic.Output */\\n\",\n       \".cython .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n\",\n       \".cython .gs { font-weight: bold } /* Generic.Strong */\\n\",\n       \".cython .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n\",\n       \".cython .gt { color: #0044DD } /* Generic.Traceback */\\n\",\n       \".cython .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n\",\n       \".cython .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n\",\n       \".cython .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n\",\n       \".cython .kp { color: #008000 } /* Keyword.Pseudo */\\n\",\n       \".cython .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n\",\n       \".cython .kt { color: #B00040 } /* Keyword.Type */\\n\",\n       \".cython .m { color: #666666 } /* Literal.Number */\\n\",\n       \".cython .s { color: #BA2121 } /* Literal.String */\\n\",\n       \".cython .na { color: #7D9029 } /* Name.Attribute */\\n\",\n       \".cython .nb { color: #008000 } /* Name.Builtin */\\n\",\n       \".cython .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n\",\n       \".cython .no { color: #880000 } /* Name.Constant */\\n\",\n       \".cython .nd { color: #AA22FF } /* Name.Decorator */\\n\",\n       \".cython .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n\",\n       \".cython .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n\",\n       \".cython .nf { color: #0000FF } /* Name.Function */\\n\",\n       \".cython .nl { color: #A0A000 } /* Name.Label */\\n\",\n       \".cython .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n\",\n       \".cython .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n\",\n       \".cython .nv { color: #19177C } /* Name.Variable */\\n\",\n       \".cython .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n\",\n       \".cython .w { color: #bbbbbb } /* Text.Whitespace */\\n\",\n       \".cython .mb { color: #666666 } /* Literal.Number.Bin */\\n\",\n       \".cython .mf { color: #666666 } /* Literal.Number.Float */\\n\",\n       \".cython .mh { color: #666666 } /* Literal.Number.Hex */\\n\",\n       \".cython .mi { color: #666666 } /* Literal.Number.Integer */\\n\",\n       \".cython .mo { color: #666666 } /* Literal.Number.Oct */\\n\",\n       \".cython .sa { color: #BA2121 } /* Literal.String.Affix */\\n\",\n       \".cython .sb { color: #BA2121 } /* Literal.String.Backtick */\\n\",\n       \".cython .sc { color: #BA2121 } /* Literal.String.Char */\\n\",\n       \".cython .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n\",\n       \".cython .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n\",\n       \".cython .s2 { color: #BA2121 } /* Literal.String.Double */\\n\",\n       \".cython .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n\",\n       \".cython .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n\",\n       \".cython .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n\",\n       \".cython .sx { color: #008000 } /* Literal.String.Other */\\n\",\n       \".cython .sr { color: #BB6688 } /* Literal.String.Regex */\\n\",\n       \".cython .s1 { color: #BA2121 } /* Literal.String.Single */\\n\",\n       \".cython .ss { color: #19177C } /* Literal.String.Symbol */\\n\",\n       \".cython .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n\",\n       \".cython .fm { color: #0000FF } /* Name.Function.Magic */\\n\",\n       \".cython .vc { color: #19177C } /* Name.Variable.Class */\\n\",\n       \".cython .vg { color: #19177C } /* Name.Variable.Global */\\n\",\n       \".cython .vi { color: #19177C } /* Name.Variable.Instance */\\n\",\n       \".cython .vm { color: #19177C } /* Name.Variable.Magic */\\n\",\n       \".cython .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\",\n       \"    </style>\\n\",\n       \"</head>\\n\",\n       \"<body class=\\\"cython\\\">\\n\",\n       \"<p><span style=\\\"border-bottom: solid 1px grey;\\\">Generated by Cython 3.0.11</span></p>\\n\",\n       \"<p>\\n\",\n       \"    <span style=\\\"background-color: #FFFF00\\\">Yellow lines</span> hint at Python interaction.<br />\\n\",\n       \"    Click on a line that starts with a \\\"<code>+</code>\\\" to see the C code that Cython generated for it.\\n\",\n       \"</p>\\n\",\n       \"<div class=\\\"cython\\\"><pre class=\\\"cython line score-8\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">01</span>: <span class=\\\"k\\\">cimport</span> <span class=\\\"nn\\\">numpy</span></pre>\\n\",\n       \"<pre class='cython code score-8 '>  __pyx_t_2 = <span class='pyx_c_api'>__Pyx_PyDict_NewPresized</span>(0);<span class='error_goto'> if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_2);\\n\",\n       \"  if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_d, __pyx_n_s_test, __pyx_t_2) &lt; 0) <span class='error_goto'>__PYX_ERR(0, 1, __pyx_L1_error)</span>\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_2); __pyx_t_2 = 0;\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">02</span>: <span class=\\\"k\\\">cimport</span> <span class=\\\"nn\\\">cython</span></pre>\\n\",\n       \"<pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">03</span>: </pre>\\n\",\n       \"<pre class=\\\"cython line score-0\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">04</span>: <span class=\\\"k\\\">ctypedef</span> <span class=\\\"n\\\">numpy</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">int64_t</span> <span class=\\\"n\\\">ITYPE_t</span></pre>\\n\",\n       \"<pre class='cython code score-0 '>typedef __pyx_t_5numpy_int64_t __pyx_t_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_ITYPE_t;\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">05</span>: <span class=\\\"k\\\">ctypedef</span> <span class=\\\"n\\\">numpy</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">float64_t</span> <span class=\\\"n\\\">FTYPE_t</span></pre>\\n\",\n       \"<pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">06</span>: </pre>\\n\",\n       \"<pre class=\\\"cython line score-64\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">07</span>: <span class=\\\"k\\\">cpdef</span> <span class=\\\"kr\\\">inline</span> <span class=\\\"kt\\\">double</span> <span class=\\\"nf\\\">abs2</span><span class=\\\"p\\\">(</span><span class=\\\"n\\\">double</span> <span class=\\\"nb\\\">complex</span> <span class=\\\"n\\\">z</span><span class=\\\"p\\\">):</span></pre>\\n\",\n       \"<pre class='cython code score-64 '>static PyObject *__pyx_pw_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_1abs2(PyObject *__pyx_self, \\n\",\n       \"#if CYTHON_METH_FASTCALL\\n\",\n       \"PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds\\n\",\n       \"#else\\n\",\n       \"PyObject *__pyx_args, PyObject *__pyx_kwds\\n\",\n       \"#endif\\n\",\n       \"); /*proto*/\\n\",\n       \"static CYTHON_INLINE double __pyx_f_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_abs2(__pyx_t_double_complex __pyx_v_z, CYTHON_UNUSED int __pyx_skip_dispatch) {\\n\",\n       \"  double __pyx_r;\\n\",\n       \"/* … */\\n\",\n       \"  /* function exit code */\\n\",\n       \"  __pyx_L0:;\\n\",\n       \"  return __pyx_r;\\n\",\n       \"}\\n\",\n       \"\\n\",\n       \"/* Python wrapper */\\n\",\n       \"static PyObject *__pyx_pw_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_1abs2(PyObject *__pyx_self, \\n\",\n       \"#if CYTHON_METH_FASTCALL\\n\",\n       \"PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds\\n\",\n       \"#else\\n\",\n       \"PyObject *__pyx_args, PyObject *__pyx_kwds\\n\",\n       \"#endif\\n\",\n       \"); /*proto*/\\n\",\n       \"static PyMethodDef __pyx_mdef_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_1abs2 = {\\\"abs2\\\", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_1abs2, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0};\\n\",\n       \"static PyObject *__pyx_pw_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_1abs2(PyObject *__pyx_self, \\n\",\n       \"#if CYTHON_METH_FASTCALL\\n\",\n       \"PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds\\n\",\n       \"#else\\n\",\n       \"PyObject *__pyx_args, PyObject *__pyx_kwds\\n\",\n       \"#endif\\n\",\n       \") {\\n\",\n       \"  __pyx_t_double_complex __pyx_v_z;\\n\",\n       \"  #if !CYTHON_METH_FASTCALL\\n\",\n       \"  CYTHON_UNUSED Py_ssize_t __pyx_nargs;\\n\",\n       \"  #endif\\n\",\n       \"  CYTHON_UNUSED PyObject *const *__pyx_kwvalues;\\n\",\n       \"  PyObject *__pyx_r = 0;\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyDeclarations</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannySetupContext</span>(\\\"abs2 (wrapper)\\\", 0);\\n\",\n       \"  #if !CYTHON_METH_FASTCALL\\n\",\n       \"  #if CYTHON_ASSUME_SAFE_MACROS\\n\",\n       \"  __pyx_nargs = <span class='py_macro_api'>PyTuple_GET_SIZE</span>(__pyx_args);\\n\",\n       \"  #else\\n\",\n       \"  __pyx_nargs = <span class='py_c_api'>PyTuple_Size</span>(__pyx_args); if (unlikely(__pyx_nargs &lt; 0)) return NULL;\\n\",\n       \"  #endif\\n\",\n       \"  #endif\\n\",\n       \"  __pyx_kwvalues = <span class='pyx_c_api'>__Pyx_KwValues_FASTCALL</span>(__pyx_args, __pyx_nargs);\\n\",\n       \"  {\\n\",\n       \"    PyObject **__pyx_pyargnames[] = {&amp;__pyx_n_s_z,0};\\n\",\n       \"  PyObject* values[1] = {0};\\n\",\n       \"    if (__pyx_kwds) {\\n\",\n       \"      Py_ssize_t kw_args;\\n\",\n       \"      switch (__pyx_nargs) {\\n\",\n       \"        case  1: values[0] = <span class='pyx_c_api'>__Pyx_Arg_FASTCALL</span>(__pyx_args, 0);\\n\",\n       \"        CYTHON_FALLTHROUGH;\\n\",\n       \"        case  0: break;\\n\",\n       \"        default: goto __pyx_L5_argtuple_error;\\n\",\n       \"      }\\n\",\n       \"      kw_args = <span class='pyx_c_api'>__Pyx_NumKwargs_FASTCALL</span>(__pyx_kwds);\\n\",\n       \"      switch (__pyx_nargs) {\\n\",\n       \"        case  0:\\n\",\n       \"        if (likely((values[0] = <span class='pyx_c_api'>__Pyx_GetKwValue_FASTCALL</span>(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_z)) != 0)) {\\n\",\n       \"          (void)<span class='pyx_c_api'>__Pyx_Arg_NewRef_FASTCALL</span>(values[0]);\\n\",\n       \"          kw_args--;\\n\",\n       \"        }\\n\",\n       \"        else if (unlikely(<span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 7, __pyx_L3_error)</span>\\n\",\n       \"        else goto __pyx_L5_argtuple_error;\\n\",\n       \"      }\\n\",\n       \"      if (unlikely(kw_args &gt; 0)) {\\n\",\n       \"        const Py_ssize_t kwd_pos_args = __pyx_nargs;\\n\",\n       \"        if (unlikely(<span class='pyx_c_api'>__Pyx_ParseOptionalKeywords</span>(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values + 0, kwd_pos_args, \\\"abs2\\\") &lt; 0)) <span class='error_goto'>__PYX_ERR(0, 7, __pyx_L3_error)</span>\\n\",\n       \"      }\\n\",\n       \"    } else if (unlikely(__pyx_nargs != 1)) {\\n\",\n       \"      goto __pyx_L5_argtuple_error;\\n\",\n       \"    } else {\\n\",\n       \"      values[0] = <span class='pyx_c_api'>__Pyx_Arg_FASTCALL</span>(__pyx_args, 0);\\n\",\n       \"    }\\n\",\n       \"    __pyx_v_z = <span class='pyx_c_api'>__Pyx_PyComplex_As___pyx_t_double_complex</span>(values[0]);<span class='error_goto'> if (unlikely(PyErr_Occurred())) __PYX_ERR(0, 7, __pyx_L3_error)</span>\\n\",\n       \"  }\\n\",\n       \"  goto __pyx_L6_skip;\\n\",\n       \"  __pyx_L5_argtuple_error:;\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_RaiseArgtupleInvalid</span>(\\\"abs2\\\", 1, 1, 1, __pyx_nargs); <span class='error_goto'>__PYX_ERR(0, 7, __pyx_L3_error)</span>\\n\",\n       \"  __pyx_L6_skip:;\\n\",\n       \"  goto __pyx_L4_argument_unpacking_done;\\n\",\n       \"  __pyx_L3_error:;\\n\",\n       \"  {\\n\",\n       \"    Py_ssize_t __pyx_temp;\\n\",\n       \"    for (__pyx_temp=0; __pyx_temp &lt; (Py_ssize_t)(sizeof(values)/sizeof(values[0])); ++__pyx_temp) {\\n\",\n       \"      <span class='pyx_c_api'>__Pyx_Arg_XDECREF_FASTCALL</span>(values[__pyx_temp]);\\n\",\n       \"    }\\n\",\n       \"  }\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_AddTraceback</span>(\\\"_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c.abs2\\\", __pyx_clineno, __pyx_lineno, __pyx_filename);\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return NULL;\\n\",\n       \"  __pyx_L4_argument_unpacking_done:;\\n\",\n       \"  __pyx_r = __pyx_pf_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_abs2(__pyx_self, __pyx_v_z);\\n\",\n       \"  int __pyx_lineno = 0;\\n\",\n       \"  const char *__pyx_filename = NULL;\\n\",\n       \"  int __pyx_clineno = 0;\\n\",\n       \"\\n\",\n       \"  /* function exit code */\\n\",\n       \"  {\\n\",\n       \"    Py_ssize_t __pyx_temp;\\n\",\n       \"    for (__pyx_temp=0; __pyx_temp &lt; (Py_ssize_t)(sizeof(values)/sizeof(values[0])); ++__pyx_temp) {\\n\",\n       \"      <span class='pyx_c_api'>__Pyx_Arg_XDECREF_FASTCALL</span>(values[__pyx_temp]);\\n\",\n       \"    }\\n\",\n       \"  }\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return __pyx_r;\\n\",\n       \"}\\n\",\n       \"\\n\",\n       \"static PyObject *__pyx_pf_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_abs2(CYTHON_UNUSED PyObject *__pyx_self, __pyx_t_double_complex __pyx_v_z) {\\n\",\n       \"  PyObject *__pyx_r = NULL;\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_r);\\n\",\n       \"  __pyx_t_1 = __pyx_f_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_abs2(__pyx_v_z, 0); if (unlikely(__pyx_t_1 == ((double)-1) &amp;&amp; <span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 7, __pyx_L1_error)</span>\\n\",\n       \"  __pyx_t_2 = <span class='py_c_api'>PyFloat_FromDouble</span>(__pyx_t_1);<span class='error_goto'> if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 7, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_2);\\n\",\n       \"  __pyx_r = __pyx_t_2;\\n\",\n       \"  __pyx_t_2 = 0;\\n\",\n       \"  goto __pyx_L0;\\n\",\n       \"\\n\",\n       \"  /* function exit code */\\n\",\n       \"  __pyx_L1_error:;\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_XDECREF</span>(__pyx_t_2);\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_AddTraceback</span>(\\\"_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c.abs2\\\", __pyx_clineno, __pyx_lineno, __pyx_filename);\\n\",\n       \"  __pyx_r = NULL;\\n\",\n       \"  __pyx_L0:;\\n\",\n       \"  <span class='refnanny'>__Pyx_XGIVEREF</span>(__pyx_r);\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return __pyx_r;\\n\",\n       \"}\\n\",\n       \"/* … */\\n\",\n       \"  __pyx_tuple__3 = <span class='py_c_api'>PyTuple_Pack</span>(1, __pyx_n_s_z);<span class='error_goto'> if (unlikely(!__pyx_tuple__3)) __PYX_ERR(0, 7, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_tuple__3);\\n\",\n       \"  <span class='refnanny'>__Pyx_GIVEREF</span>(__pyx_tuple__3);\\n\",\n       \"/* … */\\n\",\n       \"  __pyx_t_2 = <span class='pyx_c_api'>__Pyx_CyFunction_New</span>(&amp;__pyx_mdef_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_1abs2, 0, __pyx_n_s_abs2, NULL, __pyx_n_s_cython_magic_6898fa0f5546b1e451, __pyx_d, ((PyObject *)__pyx_codeobj__4));<span class='error_goto'> if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 7, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_2);\\n\",\n       \"  if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_d, __pyx_n_s_abs2, __pyx_t_2) &lt; 0) <span class='error_goto'>__PYX_ERR(0, 7, __pyx_L1_error)</span>\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_2); __pyx_t_2 = 0;\\n\",\n       \"  __pyx_codeobj__4 = (PyObject*)<span class='pyx_c_api'>__Pyx_PyCode_New</span>(1, 0, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__3, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_home_rob_cache_ipython_cytho, __pyx_n_s_abs2, 7, __pyx_empty_bytes);<span class='error_goto'> if (unlikely(!__pyx_codeobj__4)) __PYX_ERR(0, 7, __pyx_L1_error)</span>\\n\",\n       \"</pre><pre class=\\\"cython line score-4\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">08</span>:     <span class=\\\"k\\\">return</span> <span class=\\\"n\\\">z</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">real</span> <span class=\\\"o\\\">*</span> <span class=\\\"n\\\">z</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">real</span> <span class=\\\"o\\\">+</span> <span class=\\\"n\\\">z</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">imag</span> <span class=\\\"o\\\">*</span> <span class=\\\"n\\\">z</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">imag</span></pre>\\n\",\n       \"<pre class='cython code score-4 '>  __pyx_r = ((<span class='pyx_macro_api'>__Pyx_CREAL</span>(__pyx_v_z) * <span class='pyx_macro_api'>__Pyx_CREAL</span>(__pyx_v_z)) + (<span class='pyx_macro_api'>__Pyx_CIMAG</span>(__pyx_v_z) * <span class='pyx_macro_api'>__Pyx_CIMAG</span>(__pyx_v_z)));\\n\",\n       \"  goto __pyx_L0;\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">09</span>: </pre>\\n\",\n       \"<pre class=\\\"cython line score-107\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">10</span>: <span class=\\\"nd\\\">@cython</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">boundscheck</span><span class=\\\"p\\\">(</span><span class=\\\"bp\\\">False</span><span class=\\\"p\\\">)</span></pre>\\n\",\n       \"<pre class='cython code score-107 '>/* Python wrapper */\\n\",\n       \"static PyObject *__pyx_pw_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_3cy_julia_fractal(PyObject *__pyx_self, \\n\",\n       \"#if CYTHON_METH_FASTCALL\\n\",\n       \"PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds\\n\",\n       \"#else\\n\",\n       \"PyObject *__pyx_args, PyObject *__pyx_kwds\\n\",\n       \"#endif\\n\",\n       \"); /*proto*/\\n\",\n       \"static PyMethodDef __pyx_mdef_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_3cy_julia_fractal = {\\\"cy_julia_fractal\\\", (PyCFunction)(void*)(__Pyx_PyCFunction_FastCallWithKeywords)__pyx_pw_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_3cy_julia_fractal, __Pyx_METH_FASTCALL|METH_KEYWORDS, 0};\\n\",\n       \"static PyObject *__pyx_pw_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_3cy_julia_fractal(PyObject *__pyx_self, \\n\",\n       \"#if CYTHON_METH_FASTCALL\\n\",\n       \"PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds\\n\",\n       \"#else\\n\",\n       \"PyObject *__pyx_args, PyObject *__pyx_kwds\\n\",\n       \"#endif\\n\",\n       \") {\\n\",\n       \"  PyArrayObject *__pyx_v_z_re = 0;\\n\",\n       \"  PyArrayObject *__pyx_v_z_im = 0;\\n\",\n       \"  PyArrayObject *__pyx_v_j = 0;\\n\",\n       \"  #if !CYTHON_METH_FASTCALL\\n\",\n       \"  CYTHON_UNUSED Py_ssize_t __pyx_nargs;\\n\",\n       \"  #endif\\n\",\n       \"  CYTHON_UNUSED PyObject *const *__pyx_kwvalues;\\n\",\n       \"  PyObject *__pyx_r = 0;\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyDeclarations</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannySetupContext</span>(\\\"cy_julia_fractal (wrapper)\\\", 0);\\n\",\n       \"  #if !CYTHON_METH_FASTCALL\\n\",\n       \"  #if CYTHON_ASSUME_SAFE_MACROS\\n\",\n       \"  __pyx_nargs = <span class='py_macro_api'>PyTuple_GET_SIZE</span>(__pyx_args);\\n\",\n       \"  #else\\n\",\n       \"  __pyx_nargs = <span class='py_c_api'>PyTuple_Size</span>(__pyx_args); if (unlikely(__pyx_nargs &lt; 0)) return NULL;\\n\",\n       \"  #endif\\n\",\n       \"  #endif\\n\",\n       \"  __pyx_kwvalues = <span class='pyx_c_api'>__Pyx_KwValues_FASTCALL</span>(__pyx_args, __pyx_nargs);\\n\",\n       \"  {\\n\",\n       \"    PyObject **__pyx_pyargnames[] = {&amp;__pyx_n_s_z_re,&amp;__pyx_n_s_z_im,&amp;__pyx_n_s_j,0};\\n\",\n       \"  PyObject* values[3] = {0,0,0};\\n\",\n       \"    if (__pyx_kwds) {\\n\",\n       \"      Py_ssize_t kw_args;\\n\",\n       \"      switch (__pyx_nargs) {\\n\",\n       \"        case  3: values[2] = <span class='pyx_c_api'>__Pyx_Arg_FASTCALL</span>(__pyx_args, 2);\\n\",\n       \"        CYTHON_FALLTHROUGH;\\n\",\n       \"        case  2: values[1] = <span class='pyx_c_api'>__Pyx_Arg_FASTCALL</span>(__pyx_args, 1);\\n\",\n       \"        CYTHON_FALLTHROUGH;\\n\",\n       \"        case  1: values[0] = <span class='pyx_c_api'>__Pyx_Arg_FASTCALL</span>(__pyx_args, 0);\\n\",\n       \"        CYTHON_FALLTHROUGH;\\n\",\n       \"        case  0: break;\\n\",\n       \"        default: goto __pyx_L5_argtuple_error;\\n\",\n       \"      }\\n\",\n       \"      kw_args = <span class='pyx_c_api'>__Pyx_NumKwargs_FASTCALL</span>(__pyx_kwds);\\n\",\n       \"      switch (__pyx_nargs) {\\n\",\n       \"        case  0:\\n\",\n       \"        if (likely((values[0] = <span class='pyx_c_api'>__Pyx_GetKwValue_FASTCALL</span>(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_z_re)) != 0)) {\\n\",\n       \"          (void)<span class='pyx_c_api'>__Pyx_Arg_NewRef_FASTCALL</span>(values[0]);\\n\",\n       \"          kw_args--;\\n\",\n       \"        }\\n\",\n       \"        else if (unlikely(<span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 10, __pyx_L3_error)</span>\\n\",\n       \"        else goto __pyx_L5_argtuple_error;\\n\",\n       \"        CYTHON_FALLTHROUGH;\\n\",\n       \"        case  1:\\n\",\n       \"        if (likely((values[1] = <span class='pyx_c_api'>__Pyx_GetKwValue_FASTCALL</span>(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_z_im)) != 0)) {\\n\",\n       \"          (void)<span class='pyx_c_api'>__Pyx_Arg_NewRef_FASTCALL</span>(values[1]);\\n\",\n       \"          kw_args--;\\n\",\n       \"        }\\n\",\n       \"        else if (unlikely(<span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 10, __pyx_L3_error)</span>\\n\",\n       \"        else {\\n\",\n       \"          <span class='pyx_c_api'>__Pyx_RaiseArgtupleInvalid</span>(\\\"cy_julia_fractal\\\", 1, 3, 3, 1); <span class='error_goto'>__PYX_ERR(0, 10, __pyx_L3_error)</span>\\n\",\n       \"        }\\n\",\n       \"        CYTHON_FALLTHROUGH;\\n\",\n       \"        case  2:\\n\",\n       \"        if (likely((values[2] = <span class='pyx_c_api'>__Pyx_GetKwValue_FASTCALL</span>(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_j)) != 0)) {\\n\",\n       \"          (void)<span class='pyx_c_api'>__Pyx_Arg_NewRef_FASTCALL</span>(values[2]);\\n\",\n       \"          kw_args--;\\n\",\n       \"        }\\n\",\n       \"        else if (unlikely(<span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 10, __pyx_L3_error)</span>\\n\",\n       \"        else {\\n\",\n       \"          <span class='pyx_c_api'>__Pyx_RaiseArgtupleInvalid</span>(\\\"cy_julia_fractal\\\", 1, 3, 3, 2); <span class='error_goto'>__PYX_ERR(0, 10, __pyx_L3_error)</span>\\n\",\n       \"        }\\n\",\n       \"      }\\n\",\n       \"      if (unlikely(kw_args &gt; 0)) {\\n\",\n       \"        const Py_ssize_t kwd_pos_args = __pyx_nargs;\\n\",\n       \"        if (unlikely(<span class='pyx_c_api'>__Pyx_ParseOptionalKeywords</span>(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values + 0, kwd_pos_args, \\\"cy_julia_fractal\\\") &lt; 0)) <span class='error_goto'>__PYX_ERR(0, 10, __pyx_L3_error)</span>\\n\",\n       \"      }\\n\",\n       \"    } else if (unlikely(__pyx_nargs != 3)) {\\n\",\n       \"      goto __pyx_L5_argtuple_error;\\n\",\n       \"    } else {\\n\",\n       \"      values[0] = <span class='pyx_c_api'>__Pyx_Arg_FASTCALL</span>(__pyx_args, 0);\\n\",\n       \"      values[1] = <span class='pyx_c_api'>__Pyx_Arg_FASTCALL</span>(__pyx_args, 1);\\n\",\n       \"      values[2] = <span class='pyx_c_api'>__Pyx_Arg_FASTCALL</span>(__pyx_args, 2);\\n\",\n       \"    }\\n\",\n       \"    __pyx_v_z_re = ((PyArrayObject *)values[0]);\\n\",\n       \"    __pyx_v_z_im = ((PyArrayObject *)values[1]);\\n\",\n       \"    __pyx_v_j = ((PyArrayObject *)values[2]);\\n\",\n       \"  }\\n\",\n       \"  goto __pyx_L6_skip;\\n\",\n       \"  __pyx_L5_argtuple_error:;\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_RaiseArgtupleInvalid</span>(\\\"cy_julia_fractal\\\", 1, 3, 3, __pyx_nargs); <span class='error_goto'>__PYX_ERR(0, 10, __pyx_L3_error)</span>\\n\",\n       \"  __pyx_L6_skip:;\\n\",\n       \"  goto __pyx_L4_argument_unpacking_done;\\n\",\n       \"  __pyx_L3_error:;\\n\",\n       \"  {\\n\",\n       \"    Py_ssize_t __pyx_temp;\\n\",\n       \"    for (__pyx_temp=0; __pyx_temp &lt; (Py_ssize_t)(sizeof(values)/sizeof(values[0])); ++__pyx_temp) {\\n\",\n       \"      <span class='pyx_c_api'>__Pyx_Arg_XDECREF_FASTCALL</span>(values[__pyx_temp]);\\n\",\n       \"    }\\n\",\n       \"  }\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_AddTraceback</span>(\\\"_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c.cy_julia_fractal\\\", __pyx_clineno, __pyx_lineno, __pyx_filename);\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return NULL;\\n\",\n       \"  __pyx_L4_argument_unpacking_done:;\\n\",\n       \"  if (unlikely(!<span class='pyx_c_api'>__Pyx_ArgTypeTest</span>(((PyObject *)__pyx_v_z_re), __pyx_ptype_5numpy_ndarray, 1, \\\"z_re\\\", 0))) <span class='error_goto'>__PYX_ERR(0, 12, __pyx_L1_error)</span>\\n\",\n       \"  if (unlikely(!<span class='pyx_c_api'>__Pyx_ArgTypeTest</span>(((PyObject *)__pyx_v_z_im), __pyx_ptype_5numpy_ndarray, 1, \\\"z_im\\\", 0))) <span class='error_goto'>__PYX_ERR(0, 13, __pyx_L1_error)</span>\\n\",\n       \"  if (unlikely(!<span class='pyx_c_api'>__Pyx_ArgTypeTest</span>(((PyObject *)__pyx_v_j), __pyx_ptype_5numpy_ndarray, 1, \\\"j\\\", 0))) <span class='error_goto'>__PYX_ERR(0, 14, __pyx_L1_error)</span>\\n\",\n       \"  __pyx_r = __pyx_pf_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_2cy_julia_fractal(__pyx_self, __pyx_v_z_re, __pyx_v_z_im, __pyx_v_j);\\n\",\n       \"  int __pyx_lineno = 0;\\n\",\n       \"  const char *__pyx_filename = NULL;\\n\",\n       \"  int __pyx_clineno = 0;\\n\",\n       \"\\n\",\n       \"  /* function exit code */\\n\",\n       \"  goto __pyx_L0;\\n\",\n       \"  __pyx_L1_error:;\\n\",\n       \"  __pyx_r = NULL;\\n\",\n       \"  __pyx_L0:;\\n\",\n       \"  {\\n\",\n       \"    Py_ssize_t __pyx_temp;\\n\",\n       \"    for (__pyx_temp=0; __pyx_temp &lt; (Py_ssize_t)(sizeof(values)/sizeof(values[0])); ++__pyx_temp) {\\n\",\n       \"      <span class='pyx_c_api'>__Pyx_Arg_XDECREF_FASTCALL</span>(values[__pyx_temp]);\\n\",\n       \"    }\\n\",\n       \"  }\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return __pyx_r;\\n\",\n       \"}\\n\",\n       \"\\n\",\n       \"static PyObject *__pyx_pf_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_2cy_julia_fractal(CYTHON_UNUSED PyObject *__pyx_self, PyArrayObject *__pyx_v_z_re, PyArrayObject *__pyx_v_z_im, PyArrayObject *__pyx_v_j) {\\n\",\n       \"  int __pyx_v_m;\\n\",\n       \"  int __pyx_v_n;\\n\",\n       \"  int __pyx_v_t;\\n\",\n       \"  int __pyx_v_M;\\n\",\n       \"  int __pyx_v_N;\\n\",\n       \"  __pyx_t_double_complex __pyx_v_z;\\n\",\n       \"  __Pyx_LocalBuf_ND __pyx_pybuffernd_j;\\n\",\n       \"  __Pyx_Buffer __pyx_pybuffer_j;\\n\",\n       \"  __Pyx_LocalBuf_ND __pyx_pybuffernd_z_im;\\n\",\n       \"  __Pyx_Buffer __pyx_pybuffer_z_im;\\n\",\n       \"  __Pyx_LocalBuf_ND __pyx_pybuffernd_z_re;\\n\",\n       \"  __Pyx_Buffer __pyx_pybuffer_z_re;\\n\",\n       \"  PyObject *__pyx_r = NULL;\\n\",\n       \"  __pyx_pybuffer_z_re.pybuffer.buf = NULL;\\n\",\n       \"  __pyx_pybuffer_z_re.refcount = 0;\\n\",\n       \"  __pyx_pybuffernd_z_re.data = NULL;\\n\",\n       \"  __pyx_pybuffernd_z_re.rcbuffer = &amp;__pyx_pybuffer_z_re;\\n\",\n       \"  __pyx_pybuffer_z_im.pybuffer.buf = NULL;\\n\",\n       \"  __pyx_pybuffer_z_im.refcount = 0;\\n\",\n       \"  __pyx_pybuffernd_z_im.data = NULL;\\n\",\n       \"  __pyx_pybuffernd_z_im.rcbuffer = &amp;__pyx_pybuffer_z_im;\\n\",\n       \"  __pyx_pybuffer_j.pybuffer.buf = NULL;\\n\",\n       \"  __pyx_pybuffer_j.refcount = 0;\\n\",\n       \"  __pyx_pybuffernd_j.data = NULL;\\n\",\n       \"  __pyx_pybuffernd_j.rcbuffer = &amp;__pyx_pybuffer_j;\\n\",\n       \"  {\\n\",\n       \"    __Pyx_BufFmt_StackElem __pyx_stack[1];\\n\",\n       \"    if (unlikely(<span class='pyx_c_api'>__Pyx_GetBufferAndValidate</span>(&amp;__pyx_pybuffernd_z_re.rcbuffer-&gt;pybuffer, (PyObject*)__pyx_v_z_re, &amp;__Pyx_TypeInfo_nn___pyx_t_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_FTYPE_t, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) <span class='error_goto'>__PYX_ERR(0, 10, __pyx_L1_error)</span>\\n\",\n       \"  }\\n\",\n       \"  __pyx_pybuffernd_z_re.diminfo[0].strides = __pyx_pybuffernd_z_re.rcbuffer-&gt;pybuffer.strides[0]; __pyx_pybuffernd_z_re.diminfo[0].shape = __pyx_pybuffernd_z_re.rcbuffer-&gt;pybuffer.shape[0];\\n\",\n       \"  {\\n\",\n       \"    __Pyx_BufFmt_StackElem __pyx_stack[1];\\n\",\n       \"    if (unlikely(<span class='pyx_c_api'>__Pyx_GetBufferAndValidate</span>(&amp;__pyx_pybuffernd_z_im.rcbuffer-&gt;pybuffer, (PyObject*)__pyx_v_z_im, &amp;__Pyx_TypeInfo_nn___pyx_t_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_FTYPE_t, PyBUF_FORMAT| PyBUF_STRIDES, 1, 0, __pyx_stack) == -1)) <span class='error_goto'>__PYX_ERR(0, 10, __pyx_L1_error)</span>\\n\",\n       \"  }\\n\",\n       \"  __pyx_pybuffernd_z_im.diminfo[0].strides = __pyx_pybuffernd_z_im.rcbuffer-&gt;pybuffer.strides[0]; __pyx_pybuffernd_z_im.diminfo[0].shape = __pyx_pybuffernd_z_im.rcbuffer-&gt;pybuffer.shape[0];\\n\",\n       \"  {\\n\",\n       \"    __Pyx_BufFmt_StackElem __pyx_stack[1];\\n\",\n       \"    if (unlikely(<span class='pyx_c_api'>__Pyx_GetBufferAndValidate</span>(&amp;__pyx_pybuffernd_j.rcbuffer-&gt;pybuffer, (PyObject*)__pyx_v_j, &amp;__Pyx_TypeInfo_nn___pyx_t_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_ITYPE_t, PyBUF_FORMAT| PyBUF_STRIDES| PyBUF_WRITABLE, 2, 0, __pyx_stack) == -1)) <span class='error_goto'>__PYX_ERR(0, 10, __pyx_L1_error)</span>\\n\",\n       \"  }\\n\",\n       \"  __pyx_pybuffernd_j.diminfo[0].strides = __pyx_pybuffernd_j.rcbuffer-&gt;pybuffer.strides[0]; __pyx_pybuffernd_j.diminfo[0].shape = __pyx_pybuffernd_j.rcbuffer-&gt;pybuffer.shape[0]; __pyx_pybuffernd_j.diminfo[1].strides = __pyx_pybuffernd_j.rcbuffer-&gt;pybuffer.strides[1]; __pyx_pybuffernd_j.diminfo[1].shape = __pyx_pybuffernd_j.rcbuffer-&gt;pybuffer.shape[1];\\n\",\n       \"/* … */\\n\",\n       \"  /* function exit code */\\n\",\n       \"  __pyx_r = Py_None; <span class='pyx_macro_api'>__Pyx_INCREF</span>(Py_None);\\n\",\n       \"  goto __pyx_L0;\\n\",\n       \"  __pyx_L1_error:;\\n\",\n       \"  { PyObject *__pyx_type, *__pyx_value, *__pyx_tb;\\n\",\n       \"    __Pyx_PyThreadState_declare\\n\",\n       \"    __Pyx_PyThreadState_assign\\n\",\n       \"    <span class='pyx_c_api'>__Pyx_ErrFetch</span>(&amp;__pyx_type, &amp;__pyx_value, &amp;__pyx_tb);\\n\",\n       \"    <span class='pyx_c_api'>__Pyx_SafeReleaseBuffer</span>(&amp;__pyx_pybuffernd_j.rcbuffer-&gt;pybuffer);\\n\",\n       \"    <span class='pyx_c_api'>__Pyx_SafeReleaseBuffer</span>(&amp;__pyx_pybuffernd_z_im.rcbuffer-&gt;pybuffer);\\n\",\n       \"    <span class='pyx_c_api'>__Pyx_SafeReleaseBuffer</span>(&amp;__pyx_pybuffernd_z_re.rcbuffer-&gt;pybuffer);\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_ErrRestore</span>(__pyx_type, __pyx_value, __pyx_tb);}\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_AddTraceback</span>(\\\"_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c.cy_julia_fractal\\\", __pyx_clineno, __pyx_lineno, __pyx_filename);\\n\",\n       \"  __pyx_r = NULL;\\n\",\n       \"  goto __pyx_L2;\\n\",\n       \"  __pyx_L0:;\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_SafeReleaseBuffer</span>(&amp;__pyx_pybuffernd_j.rcbuffer-&gt;pybuffer);\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_SafeReleaseBuffer</span>(&amp;__pyx_pybuffernd_z_im.rcbuffer-&gt;pybuffer);\\n\",\n       \"  <span class='pyx_c_api'>__Pyx_SafeReleaseBuffer</span>(&amp;__pyx_pybuffernd_z_re.rcbuffer-&gt;pybuffer);\\n\",\n       \"  __pyx_L2:;\\n\",\n       \"  <span class='refnanny'>__Pyx_XGIVEREF</span>(__pyx_r);\\n\",\n       \"  <span class='refnanny'>__Pyx_RefNannyFinishContext</span>();\\n\",\n       \"  return __pyx_r;\\n\",\n       \"}\\n\",\n       \"/* … */\\n\",\n       \"  __pyx_tuple__5 = <span class='py_c_api'>PyTuple_Pack</span>(9, __pyx_n_s_z_re, __pyx_n_s_z_im, __pyx_n_s_j, __pyx_n_s_m, __pyx_n_s_n, __pyx_n_s_t, __pyx_n_s_M, __pyx_n_s_N, __pyx_n_s_z);<span class='error_goto'> if (unlikely(!__pyx_tuple__5)) __PYX_ERR(0, 10, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_tuple__5);\\n\",\n       \"  <span class='refnanny'>__Pyx_GIVEREF</span>(__pyx_tuple__5);\\n\",\n       \"/* … */\\n\",\n       \"  __pyx_t_2 = <span class='pyx_c_api'>__Pyx_CyFunction_New</span>(&amp;__pyx_mdef_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_3cy_julia_fractal, 0, __pyx_n_s_cy_julia_fractal, NULL, __pyx_n_s_cython_magic_6898fa0f5546b1e451, __pyx_d, ((PyObject *)__pyx_codeobj__6));<span class='error_goto'> if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 10, __pyx_L1_error)</span>\\n\",\n       \"  <span class='refnanny'>__Pyx_GOTREF</span>(__pyx_t_2);\\n\",\n       \"  if (<span class='py_c_api'>PyDict_SetItem</span>(__pyx_d, __pyx_n_s_cy_julia_fractal, __pyx_t_2) &lt; 0) <span class='error_goto'>__PYX_ERR(0, 10, __pyx_L1_error)</span>\\n\",\n       \"  <span class='pyx_macro_api'>__Pyx_DECREF</span>(__pyx_t_2); __pyx_t_2 = 0;\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">11</span>: <span class=\\\"nd\\\">@cython</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">wraparound</span><span class=\\\"p\\\">(</span><span class=\\\"bp\\\">False</span><span class=\\\"p\\\">)</span></pre>\\n\",\n       \"<pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">12</span>: <span class=\\\"k\\\">def</span> <span class=\\\"nf\\\">cy_julia_fractal</span><span class=\\\"p\\\">(</span><span class=\\\"n\\\">numpy</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">ndarray</span><span class=\\\"p\\\">[</span><span class=\\\"n\\\">FTYPE_t</span><span class=\\\"p\\\">,</span> <span class=\\\"n\\\">ndim</span><span class=\\\"o\\\">=</span><span class=\\\"mf\\\">1</span><span class=\\\"p\\\">]</span> <span class=\\\"n\\\">z_re</span><span class=\\\"p\\\">,</span></pre>\\n\",\n       \"<pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">13</span>:                      <span class=\\\"n\\\">numpy</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">ndarray</span><span class=\\\"p\\\">[</span><span class=\\\"n\\\">FTYPE_t</span><span class=\\\"p\\\">,</span> <span class=\\\"n\\\">ndim</span><span class=\\\"o\\\">=</span><span class=\\\"mf\\\">1</span><span class=\\\"p\\\">]</span> <span class=\\\"n\\\">z_im</span><span class=\\\"p\\\">,</span></pre>\\n\",\n       \"<pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">14</span>:                      <span class=\\\"n\\\">numpy</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">ndarray</span><span class=\\\"p\\\">[</span><span class=\\\"n\\\">ITYPE_t</span><span class=\\\"p\\\">,</span> <span class=\\\"n\\\">ndim</span><span class=\\\"o\\\">=</span><span class=\\\"mf\\\">2</span><span class=\\\"p\\\">]</span> <span class=\\\"n\\\">j</span><span class=\\\"p\\\">):</span></pre>\\n\",\n       \"<pre class=\\\"cython line score-10\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">15</span>:     <span class=\\\"k\\\">cdef</span> <span class=\\\"kt\\\">int</span> <span class=\\\"nf\\\">m</span><span class=\\\"p\\\">,</span> <span class=\\\"nf\\\">n</span><span class=\\\"p\\\">,</span> <span class=\\\"nf\\\">t</span><span class=\\\"p\\\">,</span> <span class=\\\"nf\\\">M</span> <span class=\\\"o\\\">=</span> <span class=\\\"n\\\">z_re</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">size</span><span class=\\\"p\\\">,</span> <span class=\\\"n\\\">N</span> <span class=\\\"o\\\">=</span> <span class=\\\"n\\\">z_im</span><span class=\\\"o\\\">.</span><span class=\\\"n\\\">size</span></pre>\\n\",\n       \"<pre class='cython code score-10 '>  __pyx_t_1 = __pyx_f_5numpy_7ndarray_4size_size(((PyArrayObject *)__pyx_v_z_re)); if (unlikely(__pyx_t_1 == ((npy_intp)-1) &amp;&amp; <span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 15, __pyx_L1_error)</span>\\n\",\n       \"  __pyx_v_M = __pyx_t_1;\\n\",\n       \"  __pyx_t_1 = __pyx_f_5numpy_7ndarray_4size_size(((PyArrayObject *)__pyx_v_z_im)); if (unlikely(__pyx_t_1 == ((npy_intp)-1) &amp;&amp; <span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 15, __pyx_L1_error)</span>\\n\",\n       \"  __pyx_v_N = __pyx_t_1;\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\">&#xA0;<span class=\\\"\\\">16</span>:     <span class=\\\"k\\\">cdef</span> <span class=\\\"kt\\\">double</span> <span class=\\\"kt\\\">complex</span> <span class=\\\"nf\\\">z</span></pre>\\n\",\n       \"<pre class=\\\"cython line score-0\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">17</span>:     <span class=\\\"k\\\">for</span> <span class=\\\"n\\\">m</span> <span class=\\\"ow\\\">in</span> <span class=\\\"nb\\\">range</span><span class=\\\"p\\\">(</span><span class=\\\"n\\\">M</span><span class=\\\"p\\\">):</span></pre>\\n\",\n       \"<pre class='cython code score-0 '>  __pyx_t_2 = __pyx_v_M;\\n\",\n       \"  __pyx_t_3 = __pyx_t_2;\\n\",\n       \"  for (__pyx_t_4 = 0; __pyx_t_4 &lt; __pyx_t_3; __pyx_t_4+=1) {\\n\",\n       \"    __pyx_v_m = __pyx_t_4;\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">18</span>:         <span class=\\\"k\\\">for</span> <span class=\\\"n\\\">n</span> <span class=\\\"ow\\\">in</span> <span class=\\\"nb\\\">range</span><span class=\\\"p\\\">(</span><span class=\\\"n\\\">N</span><span class=\\\"p\\\">):</span></pre>\\n\",\n       \"<pre class='cython code score-0 '>    __pyx_t_5 = __pyx_v_N;\\n\",\n       \"    __pyx_t_6 = __pyx_t_5;\\n\",\n       \"    for (__pyx_t_7 = 0; __pyx_t_7 &lt; __pyx_t_6; __pyx_t_7+=1) {\\n\",\n       \"      __pyx_v_n = __pyx_t_7;\\n\",\n       \"</pre><pre class=\\\"cython line score-2\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">19</span>:             <span class=\\\"n\\\">z</span> <span class=\\\"o\\\">=</span> <span class=\\\"n\\\">z_re</span><span class=\\\"p\\\">[</span><span class=\\\"n\\\">m</span><span class=\\\"p\\\">]</span> <span class=\\\"o\\\">+</span> <span class=\\\"mf\\\">1.0</span><span class=\\\"n\\\">j</span> <span class=\\\"o\\\">*</span> <span class=\\\"n\\\">z_im</span><span class=\\\"p\\\">[</span><span class=\\\"n\\\">n</span><span class=\\\"p\\\">]</span></pre>\\n\",\n       \"<pre class='cython code score-2 '>      __pyx_t_8 = __pyx_v_m;\\n\",\n       \"      __pyx_t_9 = __pyx_t_double_complex_from_parts(0, 1.0);\\n\",\n       \"      __pyx_t_10 = __pyx_v_n;\\n\",\n       \"      __pyx_t_11 = __Pyx_c_sum_npy_float64(__pyx_t_npy_float64_complex_from_parts((*__Pyx_BufPtrStrided1d(__pyx_t_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_FTYPE_t *, __pyx_pybuffernd_z_re.rcbuffer-&gt;pybuffer.buf, __pyx_t_8, __pyx_pybuffernd_z_re.diminfo[0].strides)), 0), __Pyx_c_prod_npy_float64(__pyx_t_npy_float64_complex_from_parts(<span class='pyx_macro_api'>__Pyx_CREAL</span>(__pyx_t_9), <span class='pyx_macro_api'>__Pyx_CIMAG</span>(__pyx_t_9)), __pyx_t_npy_float64_complex_from_parts((*__Pyx_BufPtrStrided1d(__pyx_t_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_FTYPE_t *, __pyx_pybuffernd_z_im.rcbuffer-&gt;pybuffer.buf, __pyx_t_10, __pyx_pybuffernd_z_im.diminfo[0].strides)), 0)));\\n\",\n       \"      __pyx_v_z = __pyx_t_double_complex_from_parts(__Pyx_CREAL_CyTypedef(__pyx_t_11), __Pyx_CIMAG_CyTypedef(__pyx_t_11));\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">20</span>:             <span class=\\\"k\\\">for</span> <span class=\\\"n\\\">t</span> <span class=\\\"ow\\\">in</span> <span class=\\\"nb\\\">range</span><span class=\\\"p\\\">(</span><span class=\\\"mf\\\">256</span><span class=\\\"p\\\">):</span></pre>\\n\",\n       \"<pre class='cython code score-0 '>      for (__pyx_t_12 = 0; __pyx_t_12 &lt; 0x100; __pyx_t_12+=1) {\\n\",\n       \"        __pyx_v_t = __pyx_t_12;\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">21</span>:                 <span class=\\\"n\\\">z</span> <span class=\\\"o\\\">=</span> <span class=\\\"n\\\">z</span> <span class=\\\"o\\\">**</span> <span class=\\\"mf\\\">2</span> <span class=\\\"o\\\">-</span> <span class=\\\"mf\\\">0.05</span> <span class=\\\"o\\\">+</span> <span class=\\\"mf\\\">0.68</span><span class=\\\"n\\\">j</span></pre>\\n\",\n       \"<pre class='cython code score-0 '>        __pyx_v_z = __Pyx_c_sum_double(__Pyx_c_diff_double(__Pyx_c_pow_double(__pyx_v_z, __pyx_t_double_complex_from_parts(2, 0)), __pyx_t_double_complex_from_parts(0.05, 0)), __pyx_t_double_complex_from_parts(0, 0.68));\\n\",\n       \"</pre><pre class=\\\"cython line score-5\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">22</span>:                 <span class=\\\"k\\\">if</span> <span class=\\\"n\\\">abs2</span><span class=\\\"p\\\">(</span><span class=\\\"n\\\">z</span><span class=\\\"p\\\">)</span> <span class=\\\"o\\\">&gt;</span> <span class=\\\"mf\\\">4.0</span><span class=\\\"p\\\">:</span></pre>\\n\",\n       \"<pre class='cython code score-5 '>        __pyx_t_13 = __pyx_f_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_abs2(__pyx_v_z, 0); if (unlikely(__pyx_t_13 == ((double)-1) &amp;&amp; <span class='py_c_api'>PyErr_Occurred</span>())) <span class='error_goto'>__PYX_ERR(0, 22, __pyx_L1_error)</span>\\n\",\n       \"        __pyx_t_14 = (__pyx_t_13 &gt; 4.0);\\n\",\n       \"        if (__pyx_t_14) {\\n\",\n       \"/* … */\\n\",\n       \"        }\\n\",\n       \"      }\\n\",\n       \"      __pyx_L8_break:;\\n\",\n       \"    }\\n\",\n       \"  }\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">23</span>:                     <span class=\\\"n\\\">j</span><span class=\\\"p\\\">[</span><span class=\\\"n\\\">m</span><span class=\\\"p\\\">,</span> <span class=\\\"n\\\">n</span><span class=\\\"p\\\">]</span> <span class=\\\"o\\\">=</span> <span class=\\\"n\\\">t</span></pre>\\n\",\n       \"<pre class='cython code score-0 '>          __pyx_t_10 = __pyx_v_m;\\n\",\n       \"          __pyx_t_8 = __pyx_v_n;\\n\",\n       \"          *__Pyx_BufPtrStrided2d(__pyx_t_54_cython_magic_6898fa0f5546b1e4516bdba3309b213764481d6c_ITYPE_t *, __pyx_pybuffernd_j.rcbuffer-&gt;pybuffer.buf, __pyx_t_10, __pyx_pybuffernd_j.diminfo[0].strides, __pyx_t_8, __pyx_pybuffernd_j.diminfo[1].strides) = __pyx_v_t;\\n\",\n       \"</pre><pre class=\\\"cython line score-0\\\" onclick=\\\"(function(s){s.display=s.display==='block'?'none':'block'})(this.nextElementSibling.style)\\\">+<span class=\\\"\\\">24</span>:                     <span class=\\\"k\\\">break</span></pre>\\n\",\n       \"<pre class='cython code score-0 '>          goto __pyx_L8_break;\\n\",\n       \"</pre></div></body></html>\"\n      ],\n      \"text/plain\": [\n       \"<IPython.core.display.HTML object>\"\n      ]\n     },\n     \"execution_count\": 85,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%%cython -a\\n\",\n    \"cimport numpy\\n\",\n    \"cimport cython\\n\",\n    \"\\n\",\n    \"ctypedef numpy.int64_t ITYPE_t\\n\",\n    \"ctypedef numpy.float64_t FTYPE_t\\n\",\n    \"\\n\",\n    \"cpdef inline double abs2(double complex z):\\n\",\n    \"    return z.real * z.real + z.imag * z.imag\\n\",\n    \"\\n\",\n    \"@cython.boundscheck(False)\\n\",\n    \"@cython.wraparound(False)\\n\",\n    \"def cy_julia_fractal(numpy.ndarray[FTYPE_t, ndim=1] z_re, \\n\",\n    \"                     numpy.ndarray[FTYPE_t, ndim=1] z_im, \\n\",\n    \"                     numpy.ndarray[ITYPE_t, ndim=2] j):\\n\",\n    \"    cdef int m, n, t, M = z_re.size, N = z_im.size\\n\",\n    \"    cdef double complex z\\n\",\n    \"    for m in range(M):\\n\",\n    \"        for n in range(N):\\n\",\n    \"            z = z_re[m] + 1.0j * z_im[n]\\n\",\n    \"            for t in range(256):\\n\",\n    \"                z = z ** 2 - 0.05 + 0.68j\\n\",\n    \"                if abs2(z) > 4.0:\\n\",\n    \"                    j[m, n] = t\\n\",\n    \"                    break\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 86,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"N = 1024\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 87,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"j = np.zeros((N, N), dtype=np.int64)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 88,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"z_real = np.linspace(-1.5, 1.5, N)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 89,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"z_imag = np.linspace(-1.5, 1.5, N)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 90,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"2.3 s ± 23.7 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit cy_julia_fractal(z_real, z_imag, j)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 91,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"169 ms ± 5.53 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit jit_julia_fractal(z_real, z_imag, j)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 92,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"j1 = np.zeros((N, N), dtype=np.int64)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 93,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"cy_julia_fractal(z_real, z_imag, j1)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 94,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"j2 = np.zeros((N, N), dtype=np.int64)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 95,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"jit_julia_fractal(z_real, z_imag, j2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 122,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"# assert np.allclose(j1, j2)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 123,\n   \"metadata\": {},\n   \"outputs\": [\n    {\n     \"data\": {\n      \"image/png\": \"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\",\n      \"text/plain\": [\n       \"<Figure size 1400x1400 with 2 Axes>\"\n      ]\n     },\n     \"metadata\": {},\n     \"output_type\": \"display_data\"\n    }\n   ],\n   \"source\": [\n    \"fig, axes = plt.subplots(1, 2, figsize=(14, 14))\\n\",\n    \"axes[0].imshow(j1, cmap=plt.cm.RdBu_r,\\n\",\n    \"          extent=[-1.5, 1.5, -1.5, 1.5])\\n\",\n    \"axes[0].set_xlabel(\\\"$\\\\mathrm{Re}(z)$\\\", fontsize=18)\\n\",\n    \"axes[0].set_ylabel(\\\"$\\\\mathrm{Im}(z)$\\\", fontsize=18)\\n\",\n    \"axes[1].imshow(j2, cmap=plt.cm.RdBu_r,\\n\",\n    \"          extent=[-1.5, 1.5, -1.5, 1.5])\\n\",\n    \"axes[1].set_xlabel(\\\"$\\\\mathrm{Re}(z)$\\\", fontsize=18)\\n\",\n    \"axes[1].set_ylabel(\\\"$\\\\mathrm{Im}(z)$\\\", fontsize=18)\\n\",\n    \"fig.tight_layout()\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"## Calling C function\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 124,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%%cython\\n\",\n    \"\\n\",\n    \"cdef extern from \\\"math.h\\\":\\n\",\n    \"     double acos(double)\\n\",\n    \"\\n\",\n    \"def cy_acos1(double x):\\n\",\n    \"    return acos(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 125,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"32.2 ns ± 0.0402 ns per loop (mean ± std. dev. of 7 runs, 10,000,000 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit cy_acos1(0.5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 126,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"%%cython\\n\",\n    \"\\n\",\n    \"from libc.math cimport acos\\n\",\n    \"\\n\",\n    \"def cy_acos2(double x):\\n\",\n    \"    return acos(x)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 127,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"31.5 ns ± 0.0371 ns per loop (mean ± std. dev. of 7 runs, 10,000,000 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit cy_acos2(0.5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 128,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from numpy import arccos\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 129,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"444 ns ± 8.64 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit arccos(0.5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 130,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"from math import acos\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 131,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"name\": \"stdout\",\n     \"output_type\": \"stream\",\n     \"text\": [\n      \"40 ns ± 1.26 ns per loop (mean ± std. dev. of 7 runs, 10,000,000 loops each)\\n\"\n     ]\n    }\n   ],\n   \"source\": [\n    \"%timeit acos(0.5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 132,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [],\n   \"source\": [\n    \"assert cy_acos1(0.5) == acos(0.5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 133,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"assert cy_acos2(0.5) == acos(0.5)\"\n   ]\n  },\n  {\n   \"cell_type\": \"markdown\",\n   \"metadata\": {},\n   \"source\": [\n    \"# Versions\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 1,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": [\n    \"%reload_ext version_information\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": 2,\n   \"metadata\": {\n    \"collapsed\": false,\n    \"jupyter\": {\n     \"outputs_hidden\": false\n    }\n   },\n   \"outputs\": [\n    {\n     \"data\": {\n      \"application/json\": {\n       \"Software versions\": [\n        {\n         \"module\": \"Python\",\n         \"version\": \"3.10.12 64bit [Clang 14.0.6 ]\"\n        },\n        {\n         \"module\": \"IPython\",\n         \"version\": \"8.12.0\"\n        },\n        {\n         \"module\": \"OS\",\n         \"version\": \"macOS 10.15.7 x86_64 i386 64bit\"\n        },\n        {\n         \"module\": \"numpy\",\n         \"version\": \"1.22.3\"\n        },\n        {\n         \"module\": \"cython\",\n         \"version\": \"3.0.0\"\n        },\n        {\n         \"module\": \"numba\",\n         \"version\": \"0.58.0\"\n        },\n        {\n         \"module\": \"matplotlib\",\n         \"version\": \"3.7.1\"\n        }\n       ]\n      },\n      \"text/html\": [\n       \"<table><tr><th>Software</th><th>Version</th></tr><tr><td>Python</td><td>3.10.12 64bit [Clang 14.0.6 ]</td></tr><tr><td>IPython</td><td>8.12.0</td></tr><tr><td>OS</td><td>macOS 10.15.7 x86\\\\_64 i386 64bit</td></tr><tr><td>numpy</td><td>1.22.3</td></tr><tr><td>cython</td><td>3.0.0</td></tr><tr><td>numba</td><td>0.58.0</td></tr><tr><td>matplotlib</td><td>3.7.1</td></tr><tr><td colspan='2'>Sun Nov 03 19:47:42 2024 JST</td></tr></table>\"\n      ],\n      \"text/latex\": [\n       \"\\\\begin{tabular}{|l|l|}\\\\hline\\n\",\n       \"{\\\\bf Software} & {\\\\bf Version} \\\\\\\\ \\\\hline\\\\hline\\n\",\n       \"Python & 3.10.12 64bit [Clang 14.0.6 ] \\\\\\\\ \\\\hline\\n\",\n       \"IPython & 8.12.0 \\\\\\\\ \\\\hline\\n\",\n       \"OS & macOS 10.15.7 x86\\\\_64 i386 64bit \\\\\\\\ \\\\hline\\n\",\n       \"numpy & 1.22.3 \\\\\\\\ \\\\hline\\n\",\n       \"cython & 3.0.0 \\\\\\\\ \\\\hline\\n\",\n       \"numba & 0.58.0 \\\\\\\\ \\\\hline\\n\",\n       \"matplotlib & 3.7.1 \\\\\\\\ \\\\hline\\n\",\n       \"\\\\hline \\\\multicolumn{2}{|l|}{Sun Nov 03 19:47:42 2024 JST} \\\\\\\\ \\\\hline\\n\",\n       \"\\\\end{tabular}\\n\"\n      ],\n      \"text/plain\": [\n       \"Software versions\\n\",\n       \"Python 3.10.12 64bit [Clang 14.0.6 ]\\n\",\n       \"IPython 8.12.0\\n\",\n       \"OS macOS 10.15.7 x86_64 i386 64bit\\n\",\n       \"numpy 1.22.3\\n\",\n       \"cython 3.0.0\\n\",\n       \"numba 0.58.0\\n\",\n       \"matplotlib 3.7.1\\n\",\n       \"Sun Nov 03 19:47:42 2024 JST\"\n      ]\n     },\n     \"execution_count\": 2,\n     \"metadata\": {},\n     \"output_type\": \"execute_result\"\n    }\n   ],\n   \"source\": [\n    \"%version_information numpy, cython, numba, matplotlib\"\n   ]\n  },\n  {\n   \"cell_type\": \"code\",\n   \"execution_count\": null,\n   \"metadata\": {},\n   \"outputs\": [],\n   \"source\": []\n  }\n ],\n \"metadata\": {\n  \"kernelspec\": {\n   \"display_name\": \"npbook_py310\",\n   \"language\": \"python\",\n   \"name\": \"npbook_py310\"\n  },\n  \"language_info\": {\n   \"codemirror_mode\": {\n    \"name\": \"ipython\",\n    \"version\": 3\n   },\n   \"file_extension\": \".py\",\n   \"mimetype\": \"text/x-python\",\n   \"name\": \"python\",\n   \"nbconvert_exporter\": \"python\",\n   \"pygments_lexer\": \"ipython3\",\n   \"version\": \"3.10.12\"\n  }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 4\n}\n"
  },
  {
    "path": "custom_template.tplx",
    "content": "((*- extends 'article.tplx' -*))\n\n((* block title *)) \\title{Document title} ((* endblock title *))\n((* block author *)) \\author{Author's Name} ((* endblock author *))\n"
  },
  {
    "path": "european_cities.csv",
    "content": "Rank,City,State,Population,Date of census/estimate\n1,London[2], United Kingdom,\"8,615,246\",1 June 2014\n2,Berlin, Germany,\"3,437,916\",31 May 2014\n3,Madrid, Spain,\"3,165,235\",1 January 2014\n4,Rome, Italy,\"2,872,086\",30 September 2014\n5,Paris, France,\"2,273,305\",1 January 2013\n6,Bucharest, Romania,\"1,883,425\",20 October 2011\n7,Vienna, Austria,\"1,794,770\",1 January 2015\n8,Hamburg[10], Germany,\"1,746,342\",30 December 2013\n9,Budapest, Hungary,\"1,744,665\",1 January 2014\n10,Warsaw, Poland,\"1,729,119\",31 March 2014\n11,Barcelona, Spain,\"1,602,386\",1 January 2014\n12,Munich, Germany,\"1,407,836\",31 December 2013\n13,Milan, Italy,\"1,332,516\",30 September 2014\n14,Sofia, Bulgaria,\"1,291,895\",14 December 2014\n15,Prague, Czech Republic,\"1,246,780\",1 January 2013\n16,Brussels[17], Belgium,\"1,175,831\",1 January 2014\n17,Birmingham, United Kingdom,\"1,092,330\",30 June 2013\n18,Cologne, Germany,\"1,034,175\",31 December 2013\n19,Naples, Italy,\"989,845\",30 September 2014\n20,Stockholm, Sweden,\"909,976\",31 January 2014\n21,Turin, Italy,\"898,095\",30 September 2014\n22,Marseille, France,\"852,516\",31 December 2012\n23,Amsterdam, Netherlands,\"813,562\",31 May 2014\n24,Zagreb, Croatia,\"790,017\",31 March 2011\n25,Valencia, Spain,\"786,424\",1 January 2014\n26,Kraków, Poland,\"760,700\",31 March 2014\n27,Leeds, United Kingdom,\"757,655\",30 June 2012\n28,Łódź, Poland,\"709,757\",31 March 2014\n29,Frankfurt, Germany,\"701,350\",31 December 2013\n30,Riga, Latvia,\"701,185\",1 January 2014\n31,Seville, Spain,\"696,676\",1 January 2014\n32,Palermo, Italy,\"677,015\",31 July 2014\n33,Zaragoza, Spain,\"666,058\",1 January 2014\n34,Athens, Greece,\"664,046\",24 May 2011\n35,Wrocław, Poland,\"632,432\",31 March 2014\n37,Rotterdam, Netherlands,\"616,528\",31 January 2013\n38,Helsinki, Finland,\"605,523\",28 February 2013\n39,Stuttgart, Germany,\"604,297\",31 December 2013\n40,Glasgow, United Kingdom,\"596,550\",31 December 2013\n41,Genoa, Italy,\"594,774\",31 July 2014\n42,Düsseldorf, Germany,\"593,682\",31 December 2012\n42,Dortmund, Germany,\"575,944\",31 December 2013\n43,Essen, Germany,\"569,884\",31 December 2013\n44,Málaga, Spain,\"566,913\",1 January 2014\n45,Copenhagen, Denmark,\"559,440\",1 January 2013\n46,Sheffield, United Kingdom,\"557,382\",30 June 2012\n47,Lisbon, Portugal,\"547,631\",1 January 2011\n48,Poznań, Poland,\"547,161\",31 March 2014\n49,Bremen, Germany,\"546,451\",31 December 2012\n50,Vilnius, Lithuania,\"537,152\",1 January 2013\n51,Leipzig, Germany,\"531,562\",31 December 2013\n52,Dresden, Germany,\"530,754\",31 December 2013\n53,Gothenburg, Sweden,\"528,014\",31 March 2013\n54,Dublin, Ireland,\"527,612\",10 April 2011\n55,Bradford, United Kingdom,\"524,619\",30 June 2012\n56,Hanover, Germany,\"514,137\",31 December 2012\n57,The Hague, Netherlands,\"510,909\",1 May 2014\n58,Manchester, United Kingdom,\"510,772\",30 June 2012\n59,Antwerp, Belgium,\"510,610\",1 January 2014\n60,Edinburgh, United Kingdom,\"495,360\",30 June 2011\n61,Nuremberg, Germany,\"495,121\",31 December 2012\n62,Duisburg, Germany,\"486,816\",31 December 2012\n63,Lyon, France,\"484,344\",31 December 2010\n64,Liverpool, United Kingdom,\"469,690\",30 June 2012\n65,Gdańsk, Poland,\"460,354\",30 June 2012\n66,Toulouse, France,\"441,802\",31 December 2010\n67,Murcia, Spain,\"441,354\",1 January 2012\n68,Tallinn, Estonia,\"434,810\",1 February 2015\n69,Bristol, United Kingdom,\"432,451\",30 June 2012\n70,Bratislava,Slovakia Slovak Republic,\"417,389\",31 December 2013\n71,Szczecin, Poland,\"409,211\",30 June 2012\n72,Palma de Mallorca, Spain,\"407,648\",1 January 2012\n73,Bologna, Italy,\"384,202\",31 December 2013\n74,Las Palmas, Spain,\"382,296\",1 January 2012\n75,Florence, Italy,\"377,207\",31 December 2013\n76,Brno, Czech Republic,\"378,327\",1 January 2013\n77,Bydgoszcz, Poland,\"362,286\",30 June 2012\n78,Bochum, Germany,\"362,213\",31 December 2012\n79,Bilbao, Spain,\"351,629\",1 January 2012\n80,Cardiff, United Kingdom,\"348,493\",30 June 2012\n81,Lublin, Poland,\"348,120\",30 June 2012\n82,Nice, France,\"343,304\",31 December 2010\n83,Wuppertal, Germany,\"342,885\",31 December 2012\n84,Plovdiv, Bulgaria,\"341,041\",31 December 2013\n85,Varna, Bulgaria,\"335,819\",31 December 2013\n86,Alicante, Spain,\"334,678\",1 January 2012\n87,Leicester, United Kingdom,\"331,606\",30 June 2012\n88,Utrecht, Netherlands,\"330,772\",1 May 2014\n89,Córdoba, Spain,\"328,841\",1 January 2012\n90,Bielefeld, Germany,\"328,314\",31 December 2012\n91,Wakefield, United Kingdom,\"327,627\",30 June 2012\n92,Aarhus, Denmark,\"326,676\",1 October 2014\n93,Cluj-Napoca, Romania,\"324,576\",20 October 2011\n94,Coventry, United Kingdom,\"323,132\",30 June 2012\n95,Bari, Italy,\"322,751\",31 December 2013\n96,Thessaloniki, Greece,\"322,240\",24 May 2011\n97,Wirral, United Kingdom,\"320,229\",30 June 2012\n98,Timișoara, Romania,\"319,279\",20 October 2011\n99,Catania, Italy,\"315,576\",31 December 2013\n100,Valladolid, Spain,\"311,501\",1 January 2012\n101,Bonn, Germany,\"309,869\",31 December 2012\n102,Malmö, Sweden,\"309,105\",31 March 2013\n103,Nottingham, United Kingdom,\"308,735\",30 June 2012\n104,Katowice, Poland,\"308,269\",30 June 2012\n105,Kaunas, Lithuania,\"306,888\",1 January 2013\n"
  },
  {
    "path": "fib.py",
    "content": "\ndef fib(N): \n    \"\"\" \n    Return a list of the first N Fibonacci numbers.\n    \"\"\" \n    f0, f1 = 0, 1\n    f = [1] * N\n    for n in range(1, N):\n        f[n] = f0 + f1\n        f0, f1 = f1, f[n]\n\n    return f\n\nprint(fib(10))\n"
  },
  {
    "path": "playerstats-2013-2014-subset.csv",
    "content": "Rank,Player,GP,G,A,P\n1,Sidney Crosby,80,36,68,104\n2,Ryan Getzlaf,77,31,56,87\n3,Claude Giroux,82,28,58,86\n4,Tyler Seguin,80,37,47,84\n5,Corey Perry,81,43,39,82\n"
  },
  {
    "path": "playerstats-2013-2014-top30.csv",
    "content": "# 2013-2014 / Regular Season / All Skaters / Summary / Points\nRank,Player,Team,Pos,GP,G,A,P,+/-,PIM,PPG,PPP,SHG,SHP,GW,OT,S,S%,TOI/GP,Shift/GP,FO%\n1,Sidney Crosby,PIT,C,80,36,68,104,+18,46,11,38,0,0,5,1,259,13.9,21:58,24.0,52.5\n2,Ryan Getzlaf,ANA,C,77,31,56,87,+28,31,5,23,0,0,7,1,204,15.2,21:17,25.2,49.0\n3,Claude Giroux,PHI,C,82,28,58,86,+7,46,7,37,0,0,7,1,223,12.6,20:26,25.1,52.9\n4,Tyler Seguin,DAL,C,80,37,47,84,+16,18,11,25,0,0,8,0,294,12.6,19:20,23.4,41.5\n5,Corey Perry,ANA,R,81,43,39,82,+32,65,8,18,0,0,9,1,280,15.4,19:28,23.2,36.0\n6,Phil Kessel,TOR,R,82,37,43,80,-5,27,8,20,0,0,6,0,305,12.1,20:39,24.5,14.3\n7,Taylor Hall,EDM,L,75,27,53,80,-15,44,7,17,0,1,1,1,250,10.8,20:00,25.4,45.7\n8,Alex Ovechkin,WSH,L,78,51,28,79,-35,48,24,39,0,1,10,3,386,13.2,20:32,21.8,66.7\n9,Joe Pavelski,SJS,C,82,41,38,79,+23,32,16,31,1,2,3,0,225,18.2,19:51,27.1,56.0\n10,Jamie Benn,DAL,L,81,34,45,79,+21,64,5,19,1,3,3,1,279,12.2,19:09,25.0,52.8\n11,Nicklas Backstrom,WSH,C,82,18,61,79,-20,54,6,44,1,1,1,0,196,9.2,19:48,23.3,50.4\n12,Patrick Sharp,CHI,L,82,34,44,78,+13,40,10,25,0,0,3,1,313,10.9,18:53,22.7,54.6\n13,Joe Thornton,SJS,C,82,11,65,76,+20,32,2,19,0,1,3,1,122,9.0,18:55,26.3,56.1\n14,Erik Karlsson,OTT,D,82,20,54,74,-15,36,5,31,0,0,1,0,257,7.8,27:04,28.6,0.0\n15,Evgeni Malkin,PIT,C,60,23,49,72,+10,62,7,30,0,0,3,0,191,12.0,20:03,21.4,48.8\n16,Patrick Marleau,SJS,L,82,33,37,70,+0,18,11,23,2,2,4,0,285,11.6,20:31,27.3,52.9\n17,Anze Kopitar,LAK,C,82,29,41,70,+34,24,10,23,0,0,9,2,200,14.5,20:53,25.4,53.3\n18,Matt Duchene,COL,C,71,23,47,70,+8,19,5,17,0,0,6,1,217,10.6,18:29,22.0,50.3\n19,Martin St. Louis,\"TBL, NYR\",R,81,30,39,69,+13,10,9,21,1,2,5,1,204,14.7,20:56,25.7,40.7\n20,Patrick Kane,CHI,R,69,29,40,69,+7,22,10,25,0,0,6,0,227,12.8,19:36,22.9,50.0\n21,Blake Wheeler,WPG,R,82,28,41,69,+4,63,8,19,0,0,4,2,225,12.4,18:41,24.0,37.5\n22,Kyle Okposo,NYI,R,71,27,42,69,-9,51,5,15,0,0,4,1,195,13.8,20:26,22.2,47.5\n23,David Krejci,BOS,C,80,19,50,69,+39,28,3,19,0,0,6,1,169,11.2,19:07,21.3,51.2\n24,Chris Kunitz,PIT,L,78,35,33,68,+25,66,13,22,0,0,8,0,218,16.1,19:09,22.2,75.0\n25,Jonathan Toews,CHI,C,76,28,40,68,+26,34,5,15,3,5,5,0,193,14.5,20:28,25.9,57.2\n26,Thomas Vanek,\"BUF, NYI, MTL\",L,78,27,41,68,+7,46,8,18,0,0,4,0,248,10.9,19:21,21.6,43.5\n27,Jaromir Jagr,NJD,R,82,24,43,67,+16,46,5,17,0,0,6,1,231,10.4,19:09,22.8,0.0\n28,John Tavares,NYI,C,59,24,42,66,-6,40,8,25,0,0,4,0,188,12.8,21:14,22.3,49.1\n29,Jason Spezza,OTT,C,75,23,43,66,-26,46,9,22,0,0,5,0,223,10.3,18:12,23.8,54.0\n30,Jordan Eberle,EDM,R,80,28,37,65,-11,18,7,20,1,1,4,1,200,14.0,19:32,25.4,38.1\n"
  },
  {
    "path": "playerstats-2013-2014.csv",
    "content": "# 2013-2014 / Regular Season / All Skaters / Summary / Points\nRank,Player,Team,Pos,GP,G,A,P,+/-,PIM,PPG,PPP,SHG,SHP,GW,OT,S,S%,TOI/GP,Shift/GP,FO%\n1,Sidney Crosby,PIT,C,80,36,68,104,+18,46,11,38,0,0,5,1,259,13.9,21:58,24.0,52.5\n2,Ryan Getzlaf,ANA,C,77,31,56,87,+28,31,5,23,0,0,7,1,204,15.2,21:17,25.2,49.0\n3,Claude Giroux,PHI,C,82,28,58,86,+7,46,7,37,0,0,7,1,223,12.6,20:26,25.1,52.9\n4,Tyler Seguin,DAL,C,80,37,47,84,+16,18,11,25,0,0,8,0,294,12.6,19:20,23.4,41.5\n5,Corey Perry,ANA,R,81,43,39,82,+32,65,8,18,0,0,9,1,280,15.4,19:28,23.2,36.0\n"
  },
  {
    "path": "py3.6-env.yml",
    "content": "name: py3.6\nchannels:\n  - conda-forge\n  - defaults\ndependencies:\n  - alabaster=0.7.12=py36_0\n  - appnope=0.1.0=py36hf537a9a_0\n  - asn1crypto=0.24.0=py36_0\n  - astroid=2.2.5=py36_0\n  - attrs=19.1.0=py36_1\n  - babel=2.6.0=py36_0\n  - backcall=0.1.0=py36_0\n  - blas=1.0=mkl\n  - bleach=3.1.0=py36_0\n  - blosc=1.15.0=hd9629dc_0\n  - bzip2=1.0.6=h1de35cc_5\n  - ca-certificates=2019.1.23=0\n  - cctools=895=1\n  - certifi=2019.3.9=py36_0\n  - cffi=1.12.3=py36hb5b8e2f_0\n  - chardet=3.0.4=py36_1\n  - clang=4.0.1=1\n  - clang_osx-64=4.0.1=h1ce6c1d_16\n  - clangxx=4.0.1=1\n  - clangxx_osx-64=4.0.1=h22b1bf0_16\n  - cloudpickle=0.8.1=py_0\n  - compiler-rt=4.0.1=hcfea43d_1\n  - cryptography=2.6.1=py36ha12b0ac_0\n  - cvxopt=1.2.0=py36hcab12e0_0\n  - cycler=0.10.0=py36hfc81398_0\n  - cython=0.29.7=py36h0a44026_0\n  - dbus=1.13.6=h90a0687_0\n  - decorator=4.4.0=py36_1\n  - defusedxml=0.6.0=py_0\n  - docutils=0.14=py36hbfde631_0\n  - entrypoints=0.3=py36_0\n  - expat=2.2.6=h0a44026_0\n  - fastcache=1.0.2=py36h1de35cc_2\n  - freetype=2.9.1=hb4e5f40_0\n  - gettext=0.19.8.1=h15daf44_3\n  - glib=2.56.2=hd9629dc_0\n  - glpk=4.65=ha8bbb54_2\n  - gmp=6.1.2=hb37e062_1\n  - gmpy2=2.0.8=py36h6ef4df4_2\n  - graphviz=2.38.0=hc6cc99f_1011\n  - gsl=2.4=h1de35cc_4\n  - h5py=2.9.0=py36h3134771_0\n  - hdf5=1.10.4=hfa1e0ec_0\n  - icu=58.2=h4b95b61_1\n  - idna=2.8=py36_0\n  - imagesize=1.1.0=py36_0\n  - intel-openmp=2019.3=199\n  - ipykernel=5.1.0=py36h39e3cac_0\n  - ipython=7.5.0=py36h39e3cac_0\n  - ipython_genutils=0.2.0=py36h241746c_0\n  - ipywidgets=7.4.2=py36_0\n  - isort=4.3.17=py36_0\n  - jedi=0.13.3=py36_0\n  - jinja2=2.10.1=py36_0\n  - joblib=0.12.5=py36_0\n  - jpeg=9c=h1de35cc_1001\n  - jsonschema=3.0.1=py36_0\n  - jupyter=1.0.0=py36_7\n  - jupyter_client=5.2.4=py36_0\n  - jupyter_console=6.0.0=py36_0\n  - jupyter_core=4.4.0=py36_0\n  - jupyterlab=0.35.5=py36hf63ae98_0\n  - jupyterlab_server=0.2.0=py36_0\n  - keyring=18.0.0=py36_0\n  - kiwisolver=1.1.0=py36h0a44026_0\n  - lazy-object-proxy=1.3.1=py36h1de35cc_2\n  - ld64=274.2=1\n  - libcxx=4.0.1=hcfea43d_1\n  - libcxxabi=4.0.1=hcfea43d_1\n  - libedit=3.1.20181209=hb402a30_0\n  - libffi=3.2.1=h475c297_4\n  - libgfortran=3.0.1=h93005f0_2\n  - libgpuarray=0.7.6=h1de35cc_1003\n  - libiconv=1.15=hdd342a3_7\n  - libpng=1.6.37=ha441bb4_0\n  - libsodium=1.0.16=h3efe00b_0\n  - libtiff=4.0.10=h79f4b77_1001\n  - llvm=4.0.1=1\n  - llvm-lto-tapi=4.0.1=1\n  - llvmlite=0.28.0=py36h8c7ce04_0\n  - lzo=2.10=h362108e_2\n  - mako=1.0.7=py_1\n  - markupsafe=1.1.1=py36h1de35cc_0\n  - matplotlib=3.0.3=py36h54f8f79_0\n  - mccabe=0.6.1=py36_1\n  - metis=5.1.0=h0a44026_4\n  - mistune=0.8.4=py36h1de35cc_0\n  - mkl=2019.3=199\n  - mkl-service=1.1.2=py36hfbe908c_5\n  - mkl_fft=1.0.12=py36h5e564d8_0\n  - mkl_random=1.0.2=py36h27c97d8_0\n  - mpc=1.1.0=h6ef4df4_1\n  - mpfr=4.0.1=h3018a27_3\n  - mpmath=1.1.0=py36_0\n  - msgpack-python=0.6.1=py36h04f5b5a_1\n  - nbconvert=5.5.0=py_0\n  - nbformat=4.4.0=py36h827af21_0\n  - ncurses=6.1=h0a44026_1\n  - networkx=2.3=py_0\n  - notebook=5.7.8=py36_0\n  - numba=0.43.1=py36h6440ff4_0\n  - numexpr=2.6.9=py36h7413580_0\n  - numpy=1.16.3=py36hacdab7b_0\n  - numpy-base=1.16.3=py36h6575580_0\n  - numpydoc=0.9.1=py_0\n  - openssl=1.1.1b=h1de35cc_1\n  - packaging=19.0=py36_0\n  - pandas=0.24.2=py36h0a44026_0\n  - pandoc=2.2.3.2=0\n  - pandocfilters=1.4.2=py36_1\n  - parso=0.4.0=py_0\n  - patsy=0.5.1=py36_0\n  - pcre=8.43=h0a44026_0\n  - pep8=1.7.1=py36_0\n  - pexpect=4.7.0=py36_0\n  - pickleshare=0.7.5=py36_0\n  - pip=19.1=py36_0\n  - prometheus_client=0.6.0=py36_0\n  - prompt_toolkit=2.0.9=py36_0\n  - psutil=5.6.2=py36h1de35cc_0\n  - ptyprocess=0.6.0=py36_0\n  - pycodestyle=2.5.0=py36_0\n  - pycparser=2.19=py36_0\n  - pyflakes=2.1.1=py36_0\n  - pygments=2.3.1=py36_0\n  - pygpu=0.7.6=py36h917ab60_1000\n  - pygraphviz=1.5=py36h1de35cc_1000\n  - pylint=2.3.1=py36_0\n  - pymc3=3.6=py36_0\n  - pyopenssl=19.0.0=py36_0\n  - pyparsing=2.4.0=py_0\n  - pyqt=5.9.2=py36h655552a_2\n  - pyrsistent=0.14.11=py36h1de35cc_0\n  - pysocks=1.6.8=py36_0\n  - pytables=3.5.1=py36h5bccee9_0\n  - python=3.6.8=haf84260_0\n  - python-dateutil=2.8.0=py36_0\n  - python.app=2=py36_9\n  - pytz=2019.1=py_0\n  - pyzmq=18.0.0=py36h0a44026_0\n  - qt=5.9.7=h468cd18_1\n  - qtawesome=0.5.7=py36_1\n  - qtconsole=4.4.3=py36_0\n  - qtpy=1.7.0=py36_1\n  - readline=7.0=h1de35cc_5\n  - requests=2.21.0=py36_0\n  - rope=0.14.0=py_0\n  - scikit-learn=0.20.3=py36h27c97d8_0\n  - scipy=1.2.1=py36h1410ff5_0\n  - seaborn=0.9.0=py36_0\n  - send2trash=1.5.0=py36_0\n  - setuptools=41.0.1=py36_0\n  - sip=4.19.8=py36h0a44026_0\n  - six=1.12.0=py36_0\n  - snappy=1.1.7=he62c110_3\n  - snowballstemmer=1.2.1=py36h6c7b616_0\n  - sphinx=2.0.1=py_0\n  - sphinxcontrib-applehelp=1.0.1=py_0\n  - sphinxcontrib-devhelp=1.0.1=py_0\n  - sphinxcontrib-htmlhelp=1.0.2=py_0\n  - sphinxcontrib-jsmath=1.0.1=py_0\n  - sphinxcontrib-qthelp=1.0.2=py_0\n  - sphinxcontrib-serializinghtml=1.1.3=py_0\n  - spyder=3.3.4=py36_0\n  - spyder-kernels=0.4.4=py36_0\n  - sqlite=3.28.0=ha441bb4_0\n  - statsmodels=0.9.0=py36h1d22016_0\n  - suitesparse=5.2.0=h7413580_0\n  - sympy=1.4=py36_0\n  - tbb=2019.4=h04f5b5a_0\n  - terminado=0.8.2=py36_0\n  - testpath=0.4.2=py36_0\n  - theano=1.0.4=py36h0a44026_1000\n  - tk=8.6.8=ha441bb4_0\n  - tornado=6.0.2=py36h1de35cc_0\n  - tqdm=4.31.1=py36_1\n  - traitlets=4.3.2=py36h65bd3ce_0\n  - typed-ast=1.3.4=py36h1de35cc_0\n  - urllib3=1.24.2=py36_0\n  - wcwidth=0.1.7=py36h8c6ec74_0\n  - webencodings=0.5.1=py36_1\n  - wheel=0.33.1=py36_0\n  - widgetsnbextension=3.4.2=py36_0\n  - wrapt=1.11.1=py36h1de35cc_0\n  - wurlitzer=1.0.2=py36_0\n  - xz=5.2.4=h1de35cc_4\n  - zeromq=4.3.1=h0a44026_3\n  - zlib=1.2.11=h1de35cc_3\n  - pip:\n    - scikit-monaco==0.2.1\nprefix: /Users/rob/miniconda3/envs/py3.6\n\n"
  },
  {
    "path": "requirements.txt",
    "content": "# This file may be used to create an environment using:\n# $ conda create --name <env> --file <this file>\n# platform: osx-64\nalabaster=0.7.12=py36_0\nappnope=0.1.0=py36hf537a9a_0\nasn1crypto=0.24.0=py36_0\nastroid=2.2.5=py36_0\nattrs=19.1.0=py36_1\nbabel=2.6.0=py36_0\nbackcall=0.1.0=py36_0\nblas=1.0=mkl\nbleach=3.1.0=py36_0\nblosc=1.15.0=hd9629dc_0\nbzip2=1.0.6=h1de35cc_5\nca-certificates=2019.1.23=0\ncctools=895=1\ncertifi=2019.3.9=py36_0\ncffi=1.12.3=py36hb5b8e2f_0\nchardet=3.0.4=py36_1\nclang=4.0.1=1\nclang_osx-64=4.0.1=h1ce6c1d_16\nclangxx=4.0.1=1\nclangxx_osx-64=4.0.1=h22b1bf0_16\ncloudpickle=0.8.1=py_0\ncompiler-rt=4.0.1=hcfea43d_1\ncryptography=2.6.1=py36ha12b0ac_0\ncvxopt=1.2.0=py36hcab12e0_0\ncycler=0.10.0=py36hfc81398_0\ncython=0.29.7=py36h0a44026_0\ndbus=1.13.6=h90a0687_0\ndecorator=4.4.0=py36_1\ndefusedxml=0.6.0=py_0\ndocutils=0.14=py36hbfde631_0\nentrypoints=0.3=py36_0\nexpat=2.2.6=h0a44026_0\nfastcache=1.0.2=py36h1de35cc_2\nfreetype=2.9.1=hb4e5f40_0\ngettext=0.19.8.1=h15daf44_3\nglib=2.56.2=hd9629dc_0\nglpk=4.65=ha8bbb54_2\ngmp=6.1.2=hb37e062_1\ngmpy2=2.0.8=py36h6ef4df4_2\ngraphviz=2.38.0=hc6cc99f_1011\ngsl=2.4=h1de35cc_4\nh5py=2.9.0=py36h3134771_0\nhdf5=1.10.4=hfa1e0ec_0\nicu=58.2=h4b95b61_1\nidna=2.8=py36_0\nimagesize=1.1.0=py36_0\nintel-openmp=2019.3=199\nipykernel=5.1.0=py36h39e3cac_0\nipython=7.5.0=py36h39e3cac_0\nipython_genutils=0.2.0=py36h241746c_0\nipywidgets=7.4.2=py36_0\nisort=4.3.17=py36_0\njedi=0.13.3=py36_0\njinja2=2.10.1=py36_0\njoblib=0.12.5=py36_0\njpeg=9c=h1de35cc_1001\njsonschema=3.0.1=py36_0\njupyter=1.0.0=py36_7\njupyter_client=5.2.4=py36_0\njupyter_console=6.0.0=py36_0\njupyter_core=4.4.0=py36_0\njupyterlab=0.35.5=py36hf63ae98_0\njupyterlab_server=0.2.0=py36_0\nkeyring=18.0.0=py36_0\nkiwisolver=1.1.0=py36h0a44026_0\nlazy-object-proxy=1.3.1=py36h1de35cc_2\nld64=274.2=1\nlibcxx=4.0.1=hcfea43d_1\nlibcxxabi=4.0.1=hcfea43d_1\nlibedit=3.1.20181209=hb402a30_0\nlibffi=3.2.1=h475c297_4\nlibgfortran=3.0.1=h93005f0_2\nlibgpuarray=0.7.6=h1de35cc_1003\nlibiconv=1.15=hdd342a3_7\nlibpng=1.6.37=ha441bb4_0\nlibsodium=1.0.16=h3efe00b_0\nlibtiff=4.0.10=h79f4b77_1001\nllvm=4.0.1=1\nllvm-lto-tapi=4.0.1=1\nllvmlite=0.28.0=py36h8c7ce04_0\nlzo=2.10=h362108e_2\nmako=1.0.7=py_1\nmarkupsafe=1.1.1=py36h1de35cc_0\nmatplotlib=3.0.3=py36h54f8f79_0\nmccabe=0.6.1=py36_1\nmetis=5.1.0=h0a44026_4\nmistune=0.8.4=py36h1de35cc_0\nmkl=2019.3=199\nmkl-service=1.1.2=py36hfbe908c_5\nmkl_fft=1.0.12=py36h5e564d8_0\nmkl_random=1.0.2=py36h27c97d8_0\nmpc=1.1.0=h6ef4df4_1\nmpfr=4.0.1=h3018a27_3\nmpmath=1.1.0=py36_0\nmsgpack-python=0.6.1=py36h04f5b5a_1\nnbconvert=5.5.0=py_0\nnbformat=4.4.0=py36h827af21_0\nncurses=6.1=h0a44026_1\nnetworkx=2.3=py_0\nnotebook=5.7.8=py36_0\nnumba=0.43.1=py36h6440ff4_0\nnumexpr=2.6.9=py36h7413580_0\nnumpy=1.16.3=py36hacdab7b_0\nnumpy-base=1.16.3=py36h6575580_0\nnumpydoc=0.9.1=py_0\nopenssl=1.1.1b=h1de35cc_1\npackaging=19.0=py36_0\npandas=0.24.2=py36h0a44026_0\npandoc=2.2.3.2=0\npandocfilters=1.4.2=py36_1\nparso=0.4.0=py_0\npatsy=0.5.1=py36_0\npcre=8.43=h0a44026_0\npep8=1.7.1=py36_0\npexpect=4.7.0=py36_0\npickleshare=0.7.5=py36_0\npip=19.1=py36_0\nprometheus_client=0.6.0=py36_0\nprompt_toolkit=2.0.9=py36_0\npsutil=5.6.2=py36h1de35cc_0\nptyprocess=0.6.0=py36_0\npycodestyle=2.5.0=py36_0\npycparser=2.19=py36_0\npyflakes=2.1.1=py36_0\npygments=2.3.1=py36_0\npygpu=0.7.6=py36h917ab60_1000\npygraphviz=1.5=py36h1de35cc_1000\npylint=2.3.1=py36_0\npymc3=3.6=py36_0\npyopenssl=19.0.0=py36_0\npyparsing=2.4.0=py_0\npyqt=5.9.2=py36h655552a_2\npyrsistent=0.14.11=py36h1de35cc_0\npysocks=1.6.8=py36_0\npytables=3.5.1=py36h5bccee9_0\npython=3.6.8=haf84260_0\npython-dateutil=2.8.0=py36_0\npython.app=2=py36_9\npytz=2019.1=py_0\npyzmq=18.0.0=py36h0a44026_0\nqt=5.9.7=h468cd18_1\nqtawesome=0.5.7=py36_1\nqtconsole=4.4.3=py36_0\nqtpy=1.7.0=py36_1\nreadline=7.0=h1de35cc_5\nrequests=2.21.0=py36_0\nrope=0.14.0=py_0\nscikit-learn=0.20.3=py36h27c97d8_0\nscikit-monaco=0.2.1=pypi_0\nscipy=1.2.1=py36h1410ff5_0\nseaborn=0.9.0=py36_0\nsend2trash=1.5.0=py36_0\nsetuptools=41.0.1=py36_0\nsip=4.19.8=py36h0a44026_0\nsix=1.12.0=py36_0\nsnappy=1.1.7=he62c110_3\nsnowballstemmer=1.2.1=py36h6c7b616_0\nsphinx=2.0.1=py_0\nsphinxcontrib-applehelp=1.0.1=py_0\nsphinxcontrib-devhelp=1.0.1=py_0\nsphinxcontrib-htmlhelp=1.0.2=py_0\nsphinxcontrib-jsmath=1.0.1=py_0\nsphinxcontrib-qthelp=1.0.2=py_0\nsphinxcontrib-serializinghtml=1.1.3=py_0\nspyder=3.3.4=py36_0\nspyder-kernels=0.4.4=py36_0\nsqlite=3.28.0=ha441bb4_0\nstatsmodels=0.9.0=py36h1d22016_0\nsuitesparse=5.2.0=h7413580_0\nsympy=1.4=py36_0\ntbb=2019.4=h04f5b5a_0\nterminado=0.8.2=py36_0\ntestpath=0.4.2=py36_0\ntheano=1.0.4=py36h0a44026_1000\ntk=8.6.8=ha441bb4_0\ntornado=6.0.2=py36h1de35cc_0\ntqdm=4.31.1=py36_1\ntraitlets=4.3.2=py36h65bd3ce_0\ntyped-ast=1.3.4=py36h1de35cc_0\nurllib3=1.24.2=py36_0\nwcwidth=0.1.7=py36h8c6ec74_0\nwebencodings=0.5.1=py36_1\nwheel=0.33.1=py36_0\nwidgetsnbextension=3.4.2=py36_0\nwrapt=1.11.1=py36h1de35cc_0\nwurlitzer=1.0.2=py36_0\nxz=5.2.4=h1de35cc_4\nzeromq=4.3.1=h0a44026_3\nzlib=1.2.11=h1de35cc_3\n"
  },
  {
    "path": "temperature_indoor_2014.tsv",
    "content": "1388530986\t21.940000\n1388531586\t22.000000\n1388532187\t22.000000\n1388532787\t22.000000\n1388533388\t22.000000\n1388533988\t22.060000\n1388534589\t22.120000\n1388535189\t22.250000\n1388535790\t22.310000\n1388536391\t22.440000\n1388536991\t22.440000\n1388537607\t22.500000\n1388538207\t22.440000\n1388538808\t22.500000\n1388539408\t22.560000\n1388540009\t22.560000\n1388540609\t22.500000\n1388541210\t22.500000\n1388541810\t22.560000\n1388542411\t22.560000\n1388543012\t22.560000\n1388543612\t22.500000\n1388544213\t22.560000\n1388544813\t22.690000\n1388545414\t22.690000\n1388546014\t22.690000\n1388546615\t22.620000\n1388547215\t22.690000\n1388547816\t22.690000\n1388548417\t22.690000\n1388549017\t22.690000\n1388549618\t22.620000\n1388550218\t22.690000\n1388550819\t22.750000\n1388551419\t22.690000\n1388552020\t22.750000\n1388552620\t22.750000\n1388553221\t22.810000\n1388553821\t22.810000\n1388554422\t22.810000\n1388555022\t22.810000\n1388555623\t22.940000\n1388556223\t22.880000\n1388556839\t22.880000\n1388557440\t22.940000\n1388558040\t22.940000\n1388558641\t22.940000\n1388559241\t22.880000\n1388559842\t22.810000\n1388560442\t22.810000\n1388561043\t22.810000\n1388561643\t22.880000\n1388562244\t22.810000\n1388562845\t22.880000\n1388563445\t22.880000\n1388564046\t22.880000\n1388564646\t22.810000\n1388565247\t22.880000\n1388565847\t22.810000\n1388566448\t22.880000\n1388567048\t22.880000\n1388567649\t22.880000\n1388568249\t22.880000\n1388568850\t22.880000\n1388569450\t22.810000\n1388570051\t22.810000\n1388570652\t22.810000\n1388571252\t22.880000\n1388571853\t22.880000\n1388572453\t22.880000\n1388573054\t22.880000\n1388573654\t22.940000\n1388574255\t22.880000\n1388574870\t22.880000\n1388575471\t22.880000\n1388576072\t22.880000\n1388576672\t22.810000\n1388577273\t22.880000\n1388577873\t22.880000\n1388578474\t22.750000\n1388579074\t22.810000\n1388579675\t22.880000\n1388580275\t22.880000\n1388580876\t22.940000\n1388581476\t23.000000\n1388582077\t23.000000\n1388582678\t23.000000\n1388583278\t23.000000\n1388583879\t23.120000\n1388584479\t23.060000\n1388585080\t23.120000\n1388585680\t23.060000\n1388586281\t23.120000\n1388586881\t23.190000\n1388587482\t23.250000\n1388588082\t23.120000\n1388588683\t23.190000\n1388589283\t23.190000\n1388589884\t23.120000\n1388590485\t23.060000\n1388591085\t23.120000\n1388591686\t23.120000\n1388592286\t23.120000\n1388592902\t23.120000\n1388593502\t23.060000\n1388594103\t23.120000\n1388594704\t23.120000\n1388595304\t23.060000\n1388595905\t23.120000\n1388596505\t23.060000\n1388597106\t23.060000\n1388597706\t23.000000\n1388598307\t23.060000\n1388598907\t23.060000\n1388599508\t23.120000\n1388600109\t23.000000\n1388600709\t23.000000\n1388601310\t22.940000\n1388601910\t23.060000\n1388602511\t23.060000\n1388603111\t23.060000\n1388603712\t23.120000\n1388604312\t23.060000\n1388604913\t23.060000\n1388605514\t23.120000\n1388606114\t23.120000\n1388606715\t23.120000\n1388607315\t23.060000\n1388607916\t23.120000\n1388608516\t23.120000\n1388609117\t23.190000\n1388609717\t23.120000\n1388610318\t23.120000\n1388610918\t23.190000\n1388611519\t23.120000\n1388612134\t23.120000\n1388612735\t23.190000\n1388613336\t23.120000\n1388613936\t23.120000\n1388614537\t23.120000\n1388615137\t23.190000\n1388615738\t23.190000\n1388616338\t23.190000\n1388616939\t23.190000\n1388617539\t23.250000\n1388618140\t23.190000\n1388618741\t23.190000\n1388619341\t23.250000\n1388619942\t23.190000\n1388620542\t23.250000\n1388621143\t23.190000\n1388621743\t23.250000\n1388622344\t23.190000\n1388622944\t23.250000\n1388623545\t23.190000\n1388624145\t23.250000\n1388624746\t23.190000\n1388625347\t23.120000\n1388625947\t23.190000\n1388626548\t23.190000\n1388627148\t23.190000\n1388627764\t23.190000\n1388628364\t23.250000\n1388628965\t23.190000\n1388629565\t23.250000\n1388630166\t23.250000\n1388630767\t23.190000\n1388631367\t23.120000\n1388631968\t23.250000\n1388632568\t23.250000\n1388633169\t23.250000\n1388633769\t23.250000\n1388634370\t23.310000\n1388634970\t23.250000\n1388635571\t23.250000\n1388636171\t23.310000\n1388636772\t23.250000\n1388637372\t23.310000\n1388637973\t23.380000\n1388638574\t23.250000\n1388639174\t23.310000\n1388639775\t23.310000\n1388640375\t23.380000\n1388640976\t23.380000\n1388641576\t23.440000\n1388642177\t23.380000\n1388642793\t23.380000\n1388643393\t23.310000\n1388643994\t23.310000\n1388644594\t23.380000\n1388645195\t23.380000\n1388645795\t23.380000\n1388646396\t23.440000\n1388646996\t23.440000\n1388647597\t23.500000\n1388648198\t23.440000\n1388648798\t23.380000\n1388649399\t23.310000\n1388649999\t23.380000\n1388650600\t23.310000\n1388651200\t23.380000\n1388651801\t23.250000\n1388652401\t23.380000\n1388653002\t23.440000\n1388653603\t23.380000\n1388654203\t23.380000\n1388654804\t23.380000\n1388655404\t23.380000\n1388656005\t23.380000\n1388656605\t23.310000\n1388657206\t23.380000\n1388657806\t23.380000\n1388658407\t23.380000\n1388659007\t23.440000\n1388659608\t23.380000\n1388660209\t23.500000\n1388660809\t23.440000\n1388661410\t23.380000\n1388662010\t23.380000\n1388662626\t23.440000\n1388663226\t23.440000\n1388663827\t23.440000\n1388664427\t23.440000\n1388665028\t23.380000\n1388665628\t23.380000\n1388666229\t23.440000\n1388666830\t23.440000\n1388667430\t23.380000\n1388668031\t23.380000\n1388668631\t23.440000\n1388669232\t23.440000\n1388669832\t23.440000\n1388670433\t23.380000\n1388671033\t23.380000\n1388671634\t23.380000\n1388672235\t23.380000\n1388672835\t23.440000\n1388673436\t23.380000\n1388674036\t23.440000\n1388674637\t23.380000\n1388675237\t23.440000\n1388675838\t23.620000\n1388676438\t23.560000\n1388677039\t23.500000\n1388677639\t23.560000\n1388678240\t23.440000\n1388678841\t23.440000\n1388679441\t23.440000\n1388680042\t23.440000\n1388680642\t23.440000\n1388681243\t23.440000\n1388681858\t23.500000\n1388682459\t23.440000\n1388683059\t23.440000\n1388683660\t23.440000\n1388684260\t23.440000\n1388684861\t23.380000\n1388685462\t23.440000\n1388686062\t23.500000\n1388686663\t23.440000\n1388687263\t23.500000\n1388687864\t23.500000\n1388688464\t23.440000\n1388689065\t23.440000\n1388689665\t23.380000\n1388690266\t23.440000\n1388690866\t23.440000\n1388691467\t23.500000\n1388692067\t23.440000\n1388692668\t23.440000\n1388693268\t23.500000\n1388693869\t23.500000\n1388694470\t23.380000\n1388695070\t23.560000\n1388695671\t23.560000\n1388696271\t23.440000\n1388696872\t23.440000\n1388697472\t23.440000\n1388698073\t23.500000\n1388698673\t23.500000\n1388699274\t23.440000\n1388699875\t23.500000\n1388700475\t23.500000\n1388701076\t23.440000\n1388701676\t23.500000\n1388702277\t23.500000\n1388702892\t23.500000\n1388703493\t23.380000\n1388704093\t23.500000\n1388704694\t23.560000\n1388705294\t23.560000\n1388705895\t23.560000\n1388706495\t23.620000\n1388707096\t23.620000\n1388707697\t23.560000\n1388708297\t23.560000\n1388708898\t23.500000\n1388709498\t23.560000\n1388710099\t23.560000\n1388710699\t23.560000\n1388711300\t23.560000\n1388711900\t23.620000\n1388712501\t23.620000\n1388713101\t23.560000\n1388713702\t23.560000\n1388714303\t23.620000\n1388714903\t23.560000\n1388715504\t23.560000\n1388716104\t23.620000\n1388716705\t23.560000\n1388717305\t23.620000\n1388717906\t23.690000\n1388718507\t23.620000\n1388719107\t23.620000\n1388719708\t23.620000\n1388720308\t23.690000\n1388720909\t23.620000\n1388721509\t23.620000\n1388722110\t23.690000\n1388722710\t23.690000\n1388723311\t23.690000\n1388723926\t23.690000\n1388724527\t23.690000\n1388725127\t23.810000\n1388725728\t23.690000\n1388726328\t23.690000\n1388726929\t23.810000\n1388727530\t23.750000\n1388728130\t23.750000\n1388728731\t23.750000\n1388729331\t23.880000\n1388729932\t23.750000\n1388730532\t23.810000\n1388731133\t23.750000\n1388731733\t23.690000\n1388732334\t23.750000\n1388732935\t23.750000\n1388733535\t23.750000\n1388734136\t23.690000\n1388734736\t23.750000\n1388735337\t23.810000\n1388735937\t23.810000\n1388736538\t23.810000\n1388737138\t23.810000\n1388737739\t23.810000\n1388738340\t23.690000\n1388738940\t23.750000\n1388739541\t23.750000\n1388740141\t23.810000\n1388740742\t23.810000\n1388741342\t23.810000\n1388741943\t23.810000\n1388742558\t23.750000\n1388743159\t23.750000\n1388743759\t23.810000\n1388744360\t23.810000\n1388744960\t23.810000\n1388745561\t23.810000\n1388746161\t23.810000\n1388746762\t23.810000\n1388747363\t23.810000\n1388747963\t23.750000\n1388748564\t23.810000\n1388749164\t23.810000\n1388749765\t23.810000\n1388750365\t23.810000\n1388750966\t23.810000\n1388751566\t23.810000\n1388752167\t23.810000\n1388752768\t23.810000\n1388753368\t23.810000\n1388753969\t23.810000\n1388754569\t23.810000\n1388755170\t23.750000\n1388755770\t23.810000\n1388756371\t23.810000\n1388756971\t23.810000\n1388757572\t23.880000\n1388758173\t23.810000\n1388758773\t23.810000\n1388759374\t23.880000\n1388759974\t23.940000\n1388760575\t23.880000\n1388761190\t23.940000\n1388761791\t23.940000\n1388762391\t23.940000\n1388762992\t23.940000\n1388763592\t23.940000\n1388764193\t23.940000\n1388764793\t23.940000\n1388765394\t23.940000\n1388765995\t24.000000\n1388766595\t24.060000\n1388767196\t24.000000\n1388767796\t24.000000\n1388768397\t23.940000\n1388768997\t24.000000\n1388769598\t24.000000\n1388770198\t23.940000\n1388770799\t23.940000\n1388771399\t24.000000\n1388772000\t24.000000\n1388772601\t24.000000\n1388773201\t23.940000\n1388773802\t24.000000\n1388774402\t24.000000\n1388775003\t24.000000\n1388775603\t24.060000\n1388776204\t24.000000\n1388776804\t24.060000\n1388777405\t24.060000\n1388778006\t24.060000\n1388778606\t24.000000\n1388779207\t24.000000\n1388779807\t24.000000\n1388780423\t24.060000\n1388781023\t24.060000\n1388781624\t24.000000\n1388782224\t24.000000\n1388782825\t24.060000\n1388783426\t24.060000\n1388784026\t24.000000\n1388784627\t24.060000\n1388785227\t24.000000\n1388785828\t24.060000\n1388786428\t24.060000\n1388787029\t24.060000\n1388787629\t24.000000\n1388788230\t24.000000\n1388788831\t24.120000\n1388789431\t24.060000\n1388790032\t24.120000\n1388790632\t24.060000\n1388791233\t24.060000\n1388791833\t24.060000\n1388792434\t24.060000\n1388793034\t24.060000\n1388793635\t24.000000\n1388794236\t24.000000\n1388794836\t24.060000\n1388795437\t23.810000\n1388796037\t23.810000\n1388796638\t23.620000\n1388797238\t23.620000\n1388797839\t23.560000\n1388798439\t23.690000\n1388799040\t23.690000\n1388799655\t23.690000\n1388800256\t23.690000\n1388800856\t23.690000\n1388801457\t23.690000\n1388802057\t23.620000\n1388802658\t23.690000\n1388803259\t23.690000\n1388803859\t23.560000\n1388804460\t23.690000\n1388805060\t23.620000\n1388805661\t23.750000\n1388806261\t23.810000\n1388806862\t23.880000\n1388807462\t23.940000\n1388808063\t24.000000\n1388808663\t23.940000\n1388809264\t23.940000\n1388809864\t23.940000\n1388810465\t24.000000\n1388811066\t24.000000\n1388811666\t24.060000\n1388812267\t24.060000\n1388812867\t24.120000\n1388813468\t24.120000\n1388814068\t24.120000\n1388814669\t24.190000\n1388815269\t24.190000\n1388815870\t24.190000\n1388816471\t24.120000\n1388817086\t24.060000\n1388817687\t24.190000\n1388818287\t24.120000\n1388818888\t24.190000\n1388819488\t24.120000\n1388820089\t24.060000\n1388820689\t24.000000\n1388821290\t23.940000\n1388821890\t24.060000\n1388822491\t24.120000\n1388823092\t24.120000\n1388823692\t24.190000\n1388824293\t24.190000\n1388824893\t24.190000\n1388825494\t24.190000\n1388826094\t24.250000\n1388826695\t24.190000\n1388827295\t24.190000\n1388827896\t24.190000\n1388828497\t24.120000\n1388829097\t24.190000\n1388829698\t24.060000\n1388830298\t24.000000\n1388830899\t24.000000\n1388831499\t24.060000\n1388832100\t24.000000\n1388832700\t24.000000\n1388833301\t23.940000\n1388833902\t23.940000\n1388834502\t23.880000\n1388835103\t23.880000\n1388835703\t23.940000\n1388836304\t23.880000\n1388836919\t23.940000\n1388837520\t23.940000\n1388838120\t23.940000\n1388838721\t24.000000\n1388839321\t24.000000\n1388839922\t24.000000\n1388840523\t23.750000\n1388841123\t24.000000\n1388841724\t24.000000\n1388842324\t24.000000\n1388842925\t24.060000\n1388843525\t24.060000\n1388844126\t24.120000\n1388844726\t24.120000\n1388845327\t24.120000\n1388845928\t24.060000\n1388846528\t24.120000\n1388847129\t24.060000\n1388847729\t24.060000\n1388848330\t24.060000\n1388848930\t24.060000\n1388849531\t24.120000\n1388850132\t24.190000\n1388850732\t24.250000\n1388851333\t24.190000\n1388851933\t24.190000\n1388852534\t24.120000\n1388853134\t24.190000\n1388853735\t24.190000\n1388854335\t24.190000\n1388854936\t24.120000\n1388855536\t24.120000\n1388856152\t24.190000\n1388856752\t24.190000\n1388857353\t24.120000\n1388857954\t24.190000\n1388858554\t24.120000\n1388859155\t24.060000\n1388859755\t24.190000\n1388860356\t24.190000\n1388860956\t24.190000\n1388861557\t24.120000\n1388862158\t24.120000\n1388862758\t24.120000\n1388863359\t24.120000\n1388863959\t24.120000\n1388864560\t24.060000\n1388865160\t24.000000\n1388865761\t24.000000\n1388866361\t24.060000\n1388866962\t24.120000\n1388867562\t24.120000\n1388868163\t24.120000\n1388868764\t24.190000\n1388869364\t24.190000\n1388869965\t24.250000\n1388870565\t24.190000\n1388871166\t24.250000\n1388871766\t24.250000\n1388872367\t24.250000\n1388872967\t24.380000\n1388873583\t24.250000\n1388874183\t24.310000\n1388874784\t24.310000\n1388875385\t24.380000\n1388875985\t24.310000\n1388876586\t24.310000\n1388877186\t24.310000\n1388877787\t24.250000\n1388878387\t24.310000\n1388878988\t24.380000\n1388879588\t24.310000\n1388880189\t24.380000\n1388880790\t24.380000\n1388881390\t24.380000\n1388881991\t24.440000\n1388882591\t24.380000\n1388883192\t24.310000\n1388883792\t24.440000\n1388884393\t24.440000\n1388884993\t24.380000\n1388885594\t24.440000\n1388886195\t24.440000\n1388886795\t24.380000\n1388887396\t24.380000\n1388887996\t24.310000\n1388888597\t24.380000\n1388889197\t24.310000\n1388889798\t24.310000\n1388890398\t24.310000\n1388890999\t24.310000\n1388891600\t24.380000\n1388892215\t24.380000\n1388892816\t24.310000\n1388893416\t24.310000\n1388894017\t24.310000\n1388894617\t24.310000\n1388895218\t24.310000\n1388895818\t24.310000\n1388896419\t24.310000\n1388897019\t24.310000\n1388897620\t24.250000\n1388898221\t24.250000\n1388898821\t24.310000\n1388899422\t24.310000\n1388900022\t24.310000\n1388900623\t24.440000\n1388901223\t24.440000\n1388901824\t24.310000\n1388902424\t24.310000\n1388903025\t24.310000\n1388903625\t24.250000\n1388904226\t24.310000\n1388904827\t24.310000\n1388905427\t24.250000\n1388906028\t24.250000\n1388906628\t24.310000\n1388907229\t24.310000\n1388907829\t24.310000\n1388908430\t24.250000\n1388909030\t24.310000\n1388909631\t24.250000\n1388910246\t24.310000\n1388910847\t24.310000\n1388911447\t24.250000\n1388912048\t24.250000\n1388912649\t24.190000\n1388913249\t24.310000\n1388913850\t24.310000\n1388914450\t24.250000\n1388915051\t24.310000\n1388915651\t24.250000\n1388916252\t24.250000\n1388916852\t24.190000\n1388917453\t24.190000\n1388918054\t24.250000\n1388918654\t24.190000\n1388919255\t24.190000\n1388919855\t24.190000\n1388920456\t24.190000\n1388921056\t24.190000\n1388921657\t24.190000\n1388922257\t24.190000\n1388922858\t24.190000\n1388923458\t24.190000\n1388924059\t24.120000\n1388924660\t24.120000\n1388925260\t24.120000\n1388925861\t24.120000\n1388926461\t24.190000\n1388927062\t24.120000\n1388927677\t24.000000\n1388928278\t24.000000\n1388928878\t24.000000\n1388929479\t24.060000\n1388930079\t24.000000\n1388930680\t24.000000\n1388931281\t23.940000\n1388931881\t23.940000\n1388932482\t23.880000\n1388933082\t23.880000\n1388933683\t23.690000\n1388934283\t23.750000\n1388934884\t23.750000\n1388935484\t23.690000\n1388936085\t23.690000\n1388936685\t23.750000\n1388937286\t23.810000\n1388937887\t23.690000\n1388938487\t23.750000\n1388939088\t23.810000\n1388939688\t23.810000\n1388940289\t23.880000\n1388940889\t23.810000\n1388941490\t23.810000\n1388942090\t23.810000\n1388942691\t23.940000\n1388943292\t24.000000\n1388943892\t24.000000\n1388944493\t24.000000\n1388945093\t24.000000\n1388945694\t24.060000\n1388946294\t24.000000\n1388946895\t24.060000\n1388947510\t24.060000\n1388948111\t24.060000\n1388948712\t23.940000\n1388949312\t23.940000\n1388949913\t24.000000\n1388950513\t23.940000\n1388951114\t24.000000\n1388951714\t24.000000\n1388952315\t23.940000\n1388952915\t23.940000\n1388953516\t24.000000\n1388954116\t24.000000\n1388954717\t23.940000\n1388955318\t23.940000\n1388955918\t24.000000\n1388956519\t24.000000\n1388957119\t24.060000\n1388957720\t24.000000\n1388958320\t24.060000\n1388958921\t24.000000\n1388959522\t24.000000\n1388960122\t24.060000\n1388960723\t24.060000\n1388961323\t24.000000\n1388961924\t24.000000\n1388962524\t24.060000\n1388963125\t24.060000\n1388963725\t24.060000\n1388964326\t24.060000\n1388964941\t24.120000\n1388965542\t24.120000\n1388966143\t24.060000\n1388966743\t24.120000\n1388967344\t24.120000\n1388967944\t24.120000\n1388968545\t24.120000\n1388969145\t24.120000\n1388969746\t24.120000\n1388970346\t24.120000\n1388970947\t24.060000\n1388971548\t24.190000\n1388972148\t24.190000\n1388972749\t24.190000\n1388973349\t24.120000\n1388973950\t24.120000\n1388974550\t24.190000\n1388975151\t24.190000\n1388975751\t24.190000\n1388976352\t24.120000\n1388976953\t24.120000\n1388977553\t24.190000\n1388978154\t24.190000\n1388978754\t24.190000\n1388979355\t24.190000\n1388979955\t24.190000\n1388980556\t24.190000\n1388981156\t24.190000\n1388981757\t24.190000\n1388982358\t24.250000\n1388982958\t24.250000\n1388983559\t24.250000\n1388984159\t24.250000\n1388984775\t24.190000\n1388985375\t24.310000\n1388985976\t24.310000\n1388986576\t24.250000\n1388987177\t24.310000\n1388987777\t24.380000\n1388988378\t24.250000\n1388988979\t24.250000\n1388989579\t24.250000\n1388990180\t24.310000\n1388990780\t24.250000\n1388991381\t24.310000\n1388991981\t24.250000\n1388992582\t24.310000\n1388993182\t24.310000\n1388993783\t24.310000\n1388994384\t24.310000\n1388994984\t24.250000\n1388995585\t24.250000\n1388996185\t24.250000\n1388996786\t24.250000\n1388997386\t24.310000\n1388997987\t24.250000\n1388998587\t24.190000\n1388999188\t24.250000\n1388999789\t24.250000\n1389000389\t24.250000\n1389000990\t24.250000\n1389001590\t24.250000\n1389002191\t24.310000\n1389002791\t24.310000\n1389003392\t24.310000\n1389003992\t24.310000\n1389004608\t24.380000\n1389005208\t24.250000\n1389005809\t24.250000\n1389006410\t24.310000\n1389007010\t24.250000\n1389007611\t24.250000\n1389008211\t24.250000\n1389008812\t24.250000\n1389009412\t24.250000\n1389010013\t24.310000\n1389010613\t24.380000\n1389011214\t24.310000\n1389011814\t24.310000\n1389012415\t24.310000\n1389013015\t24.250000\n1389013616\t24.250000\n1389014217\t24.250000\n1389014817\t24.250000\n1389015418\t24.250000\n1389016018\t24.250000\n1389016619\t24.250000\n1389017219\t24.310000\n1389017820\t24.380000\n1389018420\t24.310000\n1389019021\t24.310000\n1389019621\t24.310000\n1389020222\t24.380000\n1389020822\t24.310000\n1389021423\t24.310000\n1389022024\t24.250000\n1389022624\t24.310000\n1389023240\t24.310000\n1389023840\t24.250000\n1389024441\t24.310000\n1389025041\t24.250000\n1389025642\t24.190000\n1389026242\t24.120000\n1389026843\t24.120000\n1389027444\t24.060000\n1389028044\t24.000000\n1389028645\t24.000000\n1389029245\t23.880000\n1389029846\t23.880000\n1389030446\t23.880000\n1389031047\t23.940000\n1389031647\t23.940000\n1389032248\t23.750000\n1389032849\t23.750000\n1389033449\t23.750000\n1389034050\t23.690000\n1389034650\t23.620000\n1389035251\t23.620000\n1389035851\t23.690000\n1389036452\t23.750000\n1389037053\t23.750000\n1389037653\t23.750000\n1389038254\t23.690000\n1389038854\t23.690000\n1389039455\t23.690000\n1389040070\t23.690000\n1389040671\t23.620000\n1389041271\t23.620000\n1389041872\t23.620000\n1389042473\t23.620000\n1389043073\t23.500000\n1389043674\t23.500000\n1389044274\t23.560000\n1389044875\t23.500000\n1389045475\t23.560000\n1389046076\t23.620000\n1389046676\t23.620000\n1389047277\t23.620000\n1389047878\t23.560000\n1389048478\t23.440000\n1389049079\t23.440000\n1389049679\t23.440000\n1389050280\t23.310000\n1389050880\t23.380000\n1389051481\t23.440000\n1389052081\t23.440000\n1389052682\t23.500000\n1389053283\t23.440000\n1389053883\t23.380000\n1389054484\t23.380000\n1389055084\t23.380000\n1389055685\t23.440000\n1389056285\t23.380000\n1389056886\t23.500000\n1389057486\t23.560000\n1389058087\t23.560000\n1389058688\t23.620000\n1389059288\t23.690000\n1389059904\t23.690000\n1389060504\t23.690000\n1389061105\t23.750000\n1389061705\t23.750000\n1389062306\t23.690000\n1389062906\t23.810000\n1389063507\t23.690000\n1389064107\t23.690000\n1389064708\t23.690000\n1389065308\t23.690000\n1389065909\t23.620000\n1389066510\t23.620000\n1389067110\t23.620000\n1389067711\t23.560000\n1389068311\t23.690000\n1389068912\t23.560000\n1389069512\t23.560000\n1389070113\t23.500000\n1389070713\t23.500000\n1389071314\t23.500000\n1389071914\t23.500000\n1389072515\t23.690000\n1389073116\t23.750000\n1389073716\t23.810000\n1389074317\t23.880000\n1389074917\t23.810000\n1389075518\t23.810000\n1389076118\t23.810000\n1389076719\t23.880000\n1389077319\t23.880000\n1389077920\t24.000000\n1389078521\t23.940000\n1389079121\t24.000000\n1389079737\t24.060000\n1389080337\t24.060000\n1389080938\t24.000000\n1389081538\t24.000000\n1389082139\t24.060000\n1389082739\t24.060000\n1389083340\t24.000000\n1389083941\t24.000000\n1389084541\t24.060000\n1389085142\t24.060000\n1389085742\t24.120000\n1389086343\t24.060000\n1389086943\t24.120000\n1389087544\t24.120000\n1389088144\t24.120000\n1389088745\t24.120000\n1389089345\t24.060000\n1389089946\t24.060000\n1389090547\t24.120000\n1389091147\t24.060000\n1389091748\t24.190000\n1389092348\t24.120000\n1389092949\t24.190000\n1389093549\t24.120000\n1389094150\t24.190000\n1389094751\t24.120000\n1389095351\t24.120000\n1389095952\t24.060000\n1389096567\t24.060000\n1389097168\t24.060000\n1389097768\t24.060000\n1389098369\t24.060000\n1389098969\t24.060000\n1389099570\t24.060000\n1389100170\t24.000000\n1389100771\t24.000000\n1389101372\t23.940000\n1389101972\t23.940000\n1389102573\t23.880000\n1389103173\t23.880000\n1389103774\t23.940000\n1389104374\t23.880000\n1389104975\t23.940000\n1389105575\t23.880000\n1389106176\t23.940000\n1389106777\t23.940000\n1389107377\t23.940000\n1389107978\t23.940000\n1389108578\t23.880000\n1389109179\t23.810000\n1389109779\t23.810000\n1389110380\t23.810000\n1389110980\t23.880000\n1389111581\t23.810000\n1389112181\t23.310000\n1389112782\t23.500000\n1389113383\t23.690000\n1389113983\t23.620000\n1389114584\t23.690000\n1389115184\t23.810000\n1389115785\t23.880000\n1389116385\t23.810000\n1389116986\t23.810000\n1389117586\t23.810000\n1389118187\t23.810000\n1389118788\t23.880000\n1389119403\t23.880000\n1389120004\t23.880000\n1389120604\t23.880000\n1389121205\t23.810000\n1389121805\t23.750000\n1389122406\t23.810000\n1389123007\t23.750000\n1389123607\t23.690000\n1389124208\t23.560000\n1389124808\t23.620000\n1389125409\t23.560000\n1389126009\t23.690000\n1389126610\t23.620000\n1389127210\t23.690000\n1389127811\t23.750000\n1389128412\t23.810000\n1389129012\t23.750000\n1389129613\t23.750000\n1389130213\t23.750000\n1389130814\t23.690000\n1389131414\t23.810000\n1389132015\t23.810000\n1389132615\t23.810000\n1389133216\t23.880000\n1389133816\t23.810000\n1389134417\t23.810000\n1389135018\t23.880000\n1389135618\t23.940000\n1389136219\t24.000000\n1389136819\t24.060000\n1389137420\t24.060000\n1389138020\t24.190000\n1389138621\t24.190000\n1389139236\t24.250000\n1389139837\t24.250000\n1389140438\t24.250000\n1389141038\t24.250000\n1389141639\t24.310000\n1389142239\t24.310000\n1389142840\t24.310000\n1389143440\t24.310000\n1389144041\t24.250000\n1389144641\t24.190000\n1389145242\t24.190000\n1389145842\t24.060000\n1389146443\t24.060000\n1389147044\t24.060000\n1389147644\t24.120000\n1389148245\t24.060000\n1389148845\t24.060000\n1389149446\t24.120000\n1389150046\t24.120000\n1389150647\t24.190000\n1389151247\t24.190000\n1389151848\t24.190000\n1389152449\t24.190000\n1389153049\t24.250000\n1389153650\t24.250000\n1389154250\t24.250000\n1389154851\t24.250000\n1389155451\t24.310000\n1389156052\t24.310000\n1389156652\t24.310000\n1389157253\t24.250000\n1389157854\t24.250000\n1389158454\t24.310000\n1389159055\t24.250000\n1389159670\t24.250000\n1389160271\t24.250000\n1389160871\t24.190000\n1389161472\t24.060000\n1389162072\t24.060000\n1389162673\t24.120000\n1389163273\t24.120000\n1389163874\t24.190000\n1389164474\t24.310000\n1389165075\t24.250000\n1389165676\t24.250000\n1389166276\t24.250000\n1389166877\t24.250000\n1389167477\t24.250000\n1389168078\t24.190000\n1389168678\t24.190000\n1389169279\t24.250000\n1389169879\t24.250000\n1389170480\t24.190000\n1389171080\t24.190000\n1389171681\t24.190000\n1389172282\t24.120000\n1389172882\t24.060000\n1389173483\t24.060000\n1389174083\t24.120000\n1389174684\t24.120000\n1389175284\t24.120000\n1389175885\t24.120000\n1389176485\t24.120000\n1389177086\t24.120000\n1389177687\t24.120000\n1389178302\t24.120000\n1389178903\t24.060000\n1389179503\t24.120000\n1389180104\t24.060000\n1389180704\t24.000000\n1389181305\t24.000000\n1389181905\t24.060000\n1389182506\t24.060000\n1389183106\t24.000000\n1389183707\t24.060000\n1389184308\t24.000000\n1389184908\t24.060000\n1389185509\t24.000000\n1389186109\t24.060000\n1389186710\t24.060000\n1389187310\t24.000000\n1389187911\t23.940000\n1389188511\t24.060000\n1389189112\t24.060000\n1389189712\t24.060000\n1389190313\t24.060000\n1389190914\t24.120000\n1389191514\t24.060000\n1389192115\t23.940000\n1389192715\t22.940000\n1389193316\t23.380000\n1389193916\t23.500000\n1389194517\t23.690000\n1389195117\t23.750000\n1389195718\t23.810000\n1389196319\t23.880000\n1389196919\t23.940000\n1389197535\t23.940000\n1389198135\t24.000000\n1389198736\t24.000000\n1389199336\t24.000000\n1389199937\t24.000000\n1389200537\t24.000000\n1389201138\t24.120000\n1389201738\t24.120000\n1389202339\t24.060000\n1389202940\t24.120000\n1389203540\t24.190000\n1389204141\t24.120000\n1389204741\t24.120000\n1389205342\t24.120000\n1389205942\t24.120000\n1389206543\t24.120000\n1389207144\t24.120000\n1389207744\t24.190000\n1389208345\t24.120000\n1389208945\t24.120000\n1389209546\t23.880000\n1389210146\t24.060000\n1389210747\t24.310000\n1389211347\t24.440000\n1389211948\t24.440000\n1389212549\t24.500000\n1389213149\t24.440000\n1389213750\t24.500000\n1389214350\t24.560000\n1389214951\t24.560000\n1389215551\t24.690000\n1389216167\t24.690000\n1389216767\t24.750000\n1389217368\t24.690000\n1389217968\t24.690000\n1389218569\t24.750000\n1389219169\t24.750000\n1389219770\t24.690000\n1389220371\t24.750000\n1389220971\t24.690000\n1389221572\t24.750000\n1389222172\t24.810000\n1389222773\t24.810000\n1389223373\t24.810000\n1389223974\t24.750000\n1389224574\t24.750000\n1389225175\t24.690000\n1389225776\t24.750000\n1389226376\t24.810000\n1389226977\t24.810000\n1389227577\t24.810000\n1389228178\t24.750000\n1389228778\t24.810000\n1389229379\t24.750000\n1389229979\t24.810000\n1389230580\t24.810000\n1389231181\t24.880000\n1389231781\t24.940000\n1389232382\t24.880000\n1389232982\t24.940000\n1389233583\t24.940000\n1389234183\t24.940000\n1389234799\t24.940000\n1389235399\t25.000000\n1389236000\t24.940000\n1389236600\t24.880000\n1389237201\t25.060000\n1389237802\t25.000000\n1389238402\t25.060000\n1389239003\t25.000000\n1389239603\t25.000000\n1389240204\t25.000000\n1389240804\t25.000000\n1389241405\t25.060000\n1389242005\t25.060000\n1389242606\t25.060000\n1389243206\t25.000000\n1389243807\t25.060000\n1389244408\t25.190000\n1389245008\t25.060000\n1389245609\t25.120000\n1389246209\t25.120000\n1389246810\t25.190000\n1389247410\t25.190000\n1389248011\t25.060000\n1389248611\t25.120000\n1389249212\t25.060000\n1389249812\t25.060000\n1389250413\t25.060000\n1389251013\t25.120000\n1389251614\t25.190000\n1389252214\t25.190000\n1389252815\t25.310000\n1389253431\t25.120000\n1389254031\t25.060000\n1389254632\t25.120000\n1389255232\t25.060000\n1389255833\t25.060000\n1389256433\t25.000000\n1389257034\t25.060000\n1389257634\t25.060000\n1389258235\t25.060000\n1389258835\t25.190000\n1389259436\t25.120000\n1389260036\t25.060000\n1389260637\t25.190000\n1389261238\t25.190000\n1389261838\t25.250000\n1389262439\t25.250000\n1389263039\t25.310000\n1389263640\t25.250000\n1389264240\t25.190000\n1389264841\t25.120000\n1389265441\t25.190000\n1389266042\t25.190000\n1389266642\t25.190000\n1389267243\t25.250000\n1389267843\t25.310000\n1389268444\t25.310000\n1389269044\t25.440000\n1389269645\t25.440000\n1389270246\t25.000000\n1389270846\t25.190000\n1389271447\t25.190000\n1389272062\t25.190000\n1389272663\t25.310000\n1389273263\t25.310000\n1389273864\t25.250000\n1389274465\t25.380000\n1389275065\t25.310000\n1389275666\t25.380000\n1389276266\t25.380000\n1389276867\t25.380000\n1389277467\t25.440000\n1389278068\t25.310000\n1389278668\t25.440000\n1389279269\t25.440000\n1389279869\t25.500000\n1389280470\t25.500000\n1389281070\t25.620000\n1389281671\t25.690000\n1389282272\t25.620000\n1389282872\t25.560000\n1389283473\t25.560000\n1389284073\t25.500000\n1389284674\t25.440000\n1389285274\t25.440000\n1389285875\t25.380000\n1389286475\t25.380000\n1389287076\t25.310000\n1389287676\t25.440000\n1389288277\t25.310000\n1389288877\t25.310000\n1389289478\t25.310000\n1389290079\t25.060000\n1389290679\t24.690000\n1389291280\t24.750000\n1389291895\t25.000000\n1389292496\t25.120000\n1389293096\t25.060000\n1389293697\t25.120000\n1389294297\t25.060000\n1389294898\t25.060000\n1389295499\t25.060000\n1389296099\t25.000000\n1389296700\t25.000000\n1389297300\t24.940000\n1389297901\t24.940000\n1389298501\t25.000000\n1389299102\t24.880000\n1389299702\t24.880000\n1389300303\t24.750000\n1389300904\t24.750000\n1389301504\t24.810000\n1389302105\t24.690000\n1389302705\t24.620000\n1389303306\t24.380000\n1389303906\t24.190000\n1389304507\t24.310000\n1389305107\t24.250000\n1389305708\t24.190000\n1389306309\t24.120000\n1389306909\t24.190000\n1389307510\t24.310000\n1389308110\t24.310000\n1389308711\t24.380000\n1389309311\t24.310000\n1389309912\t24.380000\n1389310512\t24.620000\n1389311128\t24.750000\n1389311728\t24.690000\n1389312329\t24.690000\n1389312930\t24.690000\n1389313530\t24.560000\n1389314131\t24.690000\n1389314731\t24.750000\n1389315332\t24.750000\n1389315932\t24.750000\n1389316533\t24.750000\n1389317133\t24.810000\n1389317734\t24.750000\n1389318335\t24.750000\n1389318935\t24.690000\n1389319536\t24.750000\n1389320136\t24.810000\n1389320737\t24.810000\n1389321337\t24.810000\n1389321938\t24.810000\n1389322538\t24.750000\n1389323139\t24.810000\n1389323739\t24.810000\n1389324340\t24.750000\n1389324940\t24.690000\n1389325541\t24.690000\n1389326142\t24.690000\n1389326742\t24.690000\n1389327343\t24.750000\n1389327943\t24.750000\n1389328559\t24.690000\n1389329159\t24.620000\n1389329760\t24.750000\n1389330361\t24.620000\n1389330961\t24.560000\n1389331562\t24.560000\n1389332162\t24.560000\n1389332763\t24.560000\n1389333363\t24.690000\n1389333964\t24.560000\n1389334564\t24.440000\n1389335165\t24.560000\n1389335765\t24.560000\n1389336366\t24.500000\n1389336967\t24.560000\n1389337567\t24.440000\n1389338168\t24.440000\n1389338768\t24.310000\n1389339369\t24.380000\n1389339969\t24.380000\n1389340570\t24.620000\n1389341170\t24.500000\n1389341771\t24.500000\n1389342372\t24.380000\n1389342972\t24.380000\n1389343573\t24.440000\n1389344173\t24.380000\n1389344774\t24.380000\n1389345374\t24.310000\n1389345975\t24.440000\n1389346575\t24.380000\n1389347191\t24.380000\n1389347792\t24.440000\n1389348392\t24.380000\n1389348993\t24.380000\n1389349593\t24.380000\n1389350194\t24.380000\n1389350794\t24.380000\n1389351395\t24.440000\n1389351995\t24.310000\n1389352596\t24.380000\n1389353197\t24.440000\n1389353797\t24.380000\n1389354398\t24.380000\n1389354998\t24.380000\n1389355599\t24.250000\n1389356199\t24.310000\n1389356800\t24.250000\n1389357400\t24.250000\n1389358001\t24.250000\n1389358601\t24.310000\n1389359202\t24.310000\n1389359802\t24.310000\n1389360403\t24.380000\n1389361004\t24.380000\n1389361604\t24.310000\n1389362205\t24.250000\n1389362805\t24.310000\n1389363406\t24.250000\n1389364006\t24.500000\n1389364607\t24.880000\n1389365207\t25.060000\n1389365823\t25.190000\n1389366423\t25.310000\n1389367024\t25.440000\n1389367624\t25.500000\n1389368225\t25.560000\n1389368826\t25.690000\n1389369426\t25.620000\n1389370027\t25.810000\n1389370627\t25.880000\n1389371228\t25.880000\n1389371828\t25.810000\n1389372429\t25.750000\n1389373029\t25.810000\n1389373630\t25.810000\n1389374231\t25.880000\n1389374831\t25.880000\n1389375432\t25.880000\n1389376032\t25.880000\n1389376633\t25.940000\n1389377233\t25.880000\n1389377834\t25.940000\n1389378434\t25.880000\n1389379035\t25.880000\n1389379636\t25.880000\n1389380236\t25.940000\n1389380837\t25.880000\n1389381437\t25.880000\n1389382038\t25.880000\n1389382653\t25.880000\n1389383254\t25.940000\n1389383854\t25.940000\n1389384455\t25.880000\n1389385056\t25.880000\n1389385656\t25.880000\n1389386257\t25.940000\n1389386857\t25.940000\n1389387458\t25.880000\n1389388058\t26.000000\n1389388659\t25.880000\n1389389259\t25.880000\n1389389860\t25.880000\n1389390461\t25.880000\n1389391061\t25.880000\n1389391662\t25.880000\n1389392262\t25.880000\n1389392863\t25.810000\n1389393463\t25.810000\n1389394064\t25.810000\n1389394664\t25.750000\n1389395265\t25.810000\n1389395865\t25.750000\n1389396466\t25.810000\n1389397067\t25.810000\n1389397667\t25.810000\n1389398268\t25.810000\n1389398868\t25.810000\n1389399484\t25.750000\n1389400084\t25.940000\n1389400685\t25.940000\n1389401285\t25.940000\n1389401886\t25.750000\n1389402486\t25.750000\n1389403087\t25.690000\n1389403688\t25.750000\n1389404288\t25.750000\n1389404889\t25.750000\n1389405489\t25.750000\n1389406090\t25.750000\n1389406690\t25.690000\n1389407291\t25.620000\n1389407891\t25.690000\n1389408492\t25.750000\n1389409093\t25.690000\n1389409693\t25.690000\n1389410294\t25.690000\n1389410894\t25.620000\n1389411495\t25.620000\n1389412095\t25.690000\n1389412696\t25.620000\n1389413296\t25.620000\n1389413897\t25.560000\n1389414497\t25.500000\n1389415098\t25.440000\n1389415699\t25.440000\n1389416299\t25.380000\n1389416900\t25.380000\n1389417500\t25.310000\n1389418101\t25.310000\n1389418716\t25.310000\n1389419317\t25.440000\n1389419917\t25.380000\n1389420518\t25.310000\n1389421119\t25.310000\n1389421719\t25.190000\n1389422320\t25.190000\n1389422920\t25.120000\n1389423521\t25.060000\n1389424121\t25.120000\n1389424722\t25.060000\n1389425322\t25.000000\n1389425923\t25.000000\n1389426524\t25.000000\n1389427124\t24.880000\n1389427725\t24.880000\n1389428325\t24.810000\n1389428926\t24.810000\n1389429526\t24.880000\n1389430127\t24.810000\n1389430727\t24.810000\n1389431328\t24.750000\n1389431928\t24.690000\n1389432529\t24.620000\n1389433130\t24.620000\n1389433730\t24.500000\n1389434331\t24.500000\n1389434931\t24.440000\n1389435547\t24.440000\n1389436147\t24.380000\n1389436748\t24.380000\n1389437348\t24.440000\n1389437949\t24.440000\n1389438549\t24.380000\n1389439150\t24.380000\n1389439751\t24.310000\n1389440351\t24.380000\n1389440952\t24.440000\n1389441552\t24.380000\n1389442153\t24.440000\n1389442753\t24.440000\n1389443354\t24.560000\n1389443954\t24.500000\n1389444555\t24.440000\n1389445156\t24.440000\n1389445756\t24.380000\n1389446357\t24.250000\n1389446957\t24.250000\n1389447558\t24.060000\n1389448158\t24.190000\n1389448759\t24.120000\n1389449359\t24.120000\n1389449960\t24.060000\n1389450561\t24.060000\n1389451161\t24.060000\n1389451762\t24.060000\n1389452362\t23.810000\n1389452963\t23.940000\n1389453563\t23.880000\n1389454164\t23.880000\n1389454764\t23.810000\n1389455380\t23.810000\n1389455980\t23.810000\n1389456581\t23.810000\n1389457182\t23.810000\n1389457782\t23.750000\n1389458383\t23.810000\n1389458983\t23.880000\n1389459584\t24.000000\n1389460184\t24.060000\n1389460785\t24.000000\n1389461386\t23.880000\n1389461986\t23.810000\n1389462587\t23.880000\n1389463187\t23.940000\n1389463788\t23.940000\n1389464388\t23.940000\n1389464989\t23.880000\n1389465589\t23.880000\n1389466190\t21.060000\n1389466790\t21.880000\n1389467391\t22.060000\n1389467991\t22.060000\n1389468592\t22.060000\n1389469193\t22.060000\n1389469793\t22.120000\n1389470394\t22.120000\n1389470994\t22.190000\n1389471595\t22.250000\n1389472195\t22.250000\n1389472811\t22.190000\n1389473411\t22.120000\n1389474012\t22.120000\n1389474613\t22.190000\n1389475213\t22.060000\n1389475814\t21.940000\n1389476414\t21.880000\n1389477015\t22.000000\n1389477615\t21.940000\n1389478216\t21.940000\n1389478817\t21.880000\n1389479417\t21.810000\n1389480018\t21.880000\n1389480618\t21.880000\n1389481219\t21.810000\n1389481819\t21.810000\n1389482420\t21.940000\n1389483020\t21.940000\n1389483621\t21.940000\n1389484221\t22.000000\n1389484822\t22.000000\n1389485423\t21.940000\n1389486023\t22.060000\n1389486624\t22.000000\n1389487224\t22.000000\n1389487825\t22.060000\n1389488425\t22.060000\n1389489026\t22.190000\n1389489626\t22.250000\n1389490227\t22.190000\n1389490828\t22.120000\n1389491428\t22.000000\n1389492029\t22.060000\n1389492644\t22.060000\n1389493245\t22.000000\n1389493845\t22.000000\n1389494446\t22.120000\n1389495047\t22.120000\n1389495647\t22.060000\n1389496248\t22.060000\n1389496848\t22.000000\n1389497449\t22.000000\n1389498049\t22.000000\n1389498650\t21.940000\n1389499250\t21.940000\n1389499851\t22.000000\n1389500452\t21.940000\n1389501052\t21.940000\n1389501653\t21.940000\n1389502253\t21.940000\n1389502854\t22.000000\n1389503454\t21.940000\n1389504055\t21.940000\n1389504655\t21.940000\n1389505256\t22.000000\n1389505856\t22.000000\n1389506457\t21.940000\n1389507058\t21.940000\n1389507658\t21.810000\n1389508259\t21.810000\n1389508859\t21.880000\n1389509460\t21.810000\n1389510060\t21.810000\n1389510661\t21.810000\n1389511261\t21.810000\n1389511862\t21.750000\n1389512463\t21.810000\n1389513063\t21.750000\n1389513679\t21.750000\n1389514279\t21.750000\n1389514880\t21.750000\n1389515480\t21.750000\n1389516081\t21.750000\n1389516681\t21.690000\n1389517282\t21.620000\n1389517882\t21.690000\n1389518483\t21.690000\n1389519083\t21.620000\n1389519684\t21.620000\n1389520285\t21.560000\n1389520885\t21.500000\n1389521486\t21.440000\n1389522086\t21.440000\n1389522687\t21.440000\n1389523287\t21.440000\n1389523888\t21.380000\n1389524488\t21.440000\n1389525089\t21.310000\n1389525690\t21.310000\n1389526290\t21.250000\n1389526891\t21.250000\n1389527491\t21.250000\n1389528092\t21.190000\n1389528692\t21.120000\n1389529293\t20.750000\n1389529893\t20.940000\n1389530494\t21.060000\n1389531095\t21.000000\n1389531695\t21.060000\n1389532296\t21.060000\n1389532896\t21.000000\n1389533497\t21.000000\n1389534097\t21.000000\n1389534698\t21.060000\n1389535313\t21.000000\n1389535914\t21.000000\n1389536515\t21.000000\n1389537115\t21.000000\n1389537716\t21.000000\n1389538316\t21.000000\n1389538917\t21.000000\n1389539517\t21.000000\n1389540118\t20.940000\n1389540718\t20.940000\n1389541319\t20.880000\n1389541920\t20.940000\n1389542520\t20.880000\n1389543121\t20.940000\n1389543721\t20.940000\n1389544322\t20.880000\n1389544922\t20.940000\n1389545523\t20.880000\n1389546123\t20.810000\n1389546724\t20.810000\n1389547324\t20.880000\n1389547925\t20.940000\n1389548526\t20.940000\n1389549126\t20.880000\n1389549727\t20.880000\n1389550327\t20.750000\n1389550928\t20.690000\n1389551528\t20.690000\n1389552129\t20.690000\n1389552729\t20.620000\n1389553330\t20.620000\n1389553930\t20.690000\n1389554531\t20.690000\n1389555147\t20.620000\n1389555747\t20.690000\n1389556348\t20.690000\n1389556948\t20.560000\n1389557549\t20.560000\n1389558149\t20.440000\n1389558750\t20.380000\n1389559350\t20.380000\n1389559951\t20.440000\n1389560552\t20.440000\n1389561152\t20.440000\n1389561753\t20.310000\n1389562353\t20.440000\n1389562954\t20.440000\n1389563554\t20.380000\n1389564155\t20.380000\n1389564755\t20.380000\n1389565356\t20.310000\n1389565956\t20.310000\n1389566557\t20.310000\n1389567158\t20.310000\n1389567758\t20.310000\n1389568359\t20.310000\n1389568959\t20.250000\n1389569560\t20.250000\n1389570160\t20.190000\n1389570761\t20.250000\n1389571361\t20.190000\n1389571962\t20.190000\n1389572563\t20.190000\n1389573163\t20.120000\n1389573764\t20.060000\n1389574379\t20.060000\n1389574980\t20.060000\n1389575580\t20.060000\n1389576181\t20.000000\n1389576781\t19.940000\n1389577382\t19.940000\n1389577982\t20.120000\n1389578583\t20.000000\n1389579184\t20.000000\n1389579784\t19.940000\n1389580385\t19.880000\n1389580985\t19.880000\n1389581586\t19.810000\n1389582186\t19.810000\n1389582787\t19.750000\n1389583387\t19.750000\n1389583988\t19.690000\n1389584589\t19.750000\n1389585189\t19.690000\n1389585790\t19.620000\n1389586390\t19.690000\n1389586991\t19.620000\n1389587591\t19.620000\n1389588192\t19.560000\n1389588792\t19.560000\n1389589393\t19.500000\n1389589994\t19.560000\n1389590594\t19.500000\n1389591195\t19.440000\n1389591795\t19.500000\n1389592396\t19.500000\n1389593011\t19.440000\n1389593612\t19.380000\n1389594212\t19.380000\n1389594813\t19.310000\n1389595413\t19.250000\n1389596014\t19.310000\n1389596615\t19.190000\n1389597215\t19.190000\n1389597816\t19.250000\n1389598416\t19.250000\n1389599017\t19.120000\n1389599617\t19.120000\n1389600218\t19.120000\n1389600818\t19.060000\n1389601419\t19.060000\n1389602019\t19.000000\n1389602620\t19.000000\n1389603221\t19.000000\n1389603821\t18.940000\n1389604422\t18.940000\n1389605022\t18.880000\n1389605623\t18.880000\n1389606223\t18.880000\n1389606824\t18.810000\n1389607425\t18.880000\n1389608025\t18.940000\n1389608626\t18.880000\n1389609226\t18.810000\n1389609827\t18.750000\n1389610427\t18.690000\n1389611028\t18.620000\n1389611628\t18.560000\n1389612244\t18.620000\n1389612844\t18.560000\n1389613445\t18.620000\n1389614046\t18.560000\n1389614646\t18.560000\n1389615247\t18.620000\n1389615847\t18.560000\n1389616448\t18.560000\n1389617048\t18.560000\n1389617649\t18.500000\n1389618249\t18.500000\n1389618850\t18.560000\n1389619450\t18.500000\n1389620051\t18.440000\n1389620652\t18.440000\n1389621252\t18.500000\n1389621853\t18.440000\n1389622453\t18.440000\n1389623054\t18.440000\n1389623654\t18.440000\n1389624255\t18.380000\n1389624855\t18.380000\n1389625456\t18.310000\n1389626056\t18.310000\n1389626657\t18.310000\n1389627258\t18.310000\n1389627858\t18.380000\n1389628459\t18.310000\n1389629059\t18.310000\n1389629660\t18.250000\n1389630260\t18.310000\n1389630861\t18.310000\n1389631461\t18.310000\n1389632077\t18.250000\n1389632678\t18.190000\n1389633278\t18.190000\n1389633879\t18.190000\n1389634479\t18.190000\n1389635080\t18.120000\n1389635680\t18.120000\n1389636281\t18.190000\n1389636881\t18.190000\n1389637482\t18.310000\n1389638083\t18.310000\n1389638683\t18.250000\n1389639284\t18.120000\n1389639884\t18.060000\n1389640485\t18.060000\n1389641085\t18.060000\n1389641686\t18.060000\n1389642286\t18.060000\n1389642887\t18.060000\n1389643487\t18.060000\n1389644088\t18.060000\n1389644689\t18.060000\n1389645289\t18.000000\n1389645890\t18.000000\n1389646490\t18.000000\n1389647091\t18.000000\n1389647691\t17.940000\n1389648292\t17.880000\n1389648892\t17.810000\n1389649493\t17.810000\n1389650094\t17.690000\n1389650709\t17.690000\n1389651310\t17.690000\n1389651910\t17.620000\n1389652511\t17.690000\n1389653111\t17.690000\n1389653712\t17.750000\n1389654312\t17.750000\n1389654913\t17.690000\n1389655514\t17.690000\n1389656114\t17.690000\n1389656715\t17.690000\n1389657315\t17.750000\n1389657916\t17.750000\n1389658516\t17.750000\n1389659117\t17.750000\n1389659717\t17.750000\n1389660318\t17.750000\n1389660919\t17.810000\n1389661519\t17.810000\n1389662120\t17.880000\n1389662720\t17.880000\n1389663321\t17.940000\n1389663921\t18.000000\n1389664522\t18.000000\n1389665122\t17.940000\n1389665723\t17.940000\n1389666323\t17.880000\n1389666924\t17.940000\n1389667524\t17.880000\n1389668125\t17.880000\n1389668726\t17.810000\n1389669326\t17.750000\n1389669942\t17.750000\n1389670542\t17.750000\n1389671143\t17.560000\n1389671743\t17.560000\n1389672344\t17.500000\n1389672944\t17.440000\n1389673545\t17.440000\n1389674146\t17.380000\n1389674746\t17.440000\n1389675347\t17.380000\n1389675947\t17.380000\n1389676548\t17.380000\n1389677148\t17.310000\n1389677749\t17.060000\n1389678349\t17.000000\n1389678950\t17.000000\n1389679551\t17.060000\n1389680151\t17.440000\n1389680752\t17.690000\n1389681352\t17.880000\n1389681953\t17.940000\n1389682553\t18.120000\n1389683154\t18.120000\n1389683754\t18.190000\n1389684355\t18.190000\n1389684956\t18.250000\n1389685556\t18.250000\n1389686157\t18.250000\n1389686757\t18.250000\n1389687358\t18.250000\n1389687958\t18.190000\n1389688559\t18.250000\n1389689159\t18.190000\n1389689775\t18.120000\n1389690376\t18.190000\n1389690976\t18.190000\n1389691577\t18.190000\n1389692177\t18.190000\n1389692778\t18.190000\n1389693378\t18.250000\n1389693979\t18.190000\n1389694579\t18.250000\n1389695180\t18.310000\n1389695781\t18.310000\n1389696381\t18.310000\n1389696982\t18.310000\n1389697582\t18.380000\n1389701067\t17.190000\n1389701668\t17.500000\n1389702269\t17.690000\n1389702869\t17.880000\n1389703470\t17.940000\n1389704070\t18.000000\n1389704671\t17.940000\n1389705271\t18.120000\n1389705872\t18.250000\n1389706472\t18.250000\n1389707073\t18.310000\n1389707673\t18.380000\n1389708274\t18.380000\n1389708874\t18.440000\n1389709475\t18.310000\n1389710075\t18.250000\n1389710676\t18.250000\n1389711277\t18.310000\n1389711877\t18.310000\n1389712478\t18.250000\n1389713078\t18.250000\n1389713679\t18.380000\n1389714279\t18.380000\n1389714880\t18.310000\n1389715480\t18.310000\n1389716081\t18.380000\n1389716682\t18.310000\n1389717297\t18.310000\n1389717898\t18.310000\n1389718498\t18.310000\n1389719099\t18.310000\n1389719699\t18.250000\n1389720300\t18.190000\n1389720900\t18.190000\n1389721501\t18.190000\n1389722101\t18.250000\n1389722702\t18.310000\n1389723303\t18.250000\n1389723903\t18.250000\n1389724504\t18.250000\n1389725104\t18.310000\n1389725705\t18.250000\n1389726305\t18.310000\n1389726906\t18.250000\n1389727506\t18.310000\n1389728107\t18.250000\n1389728708\t18.250000\n1389729308\t18.380000\n1389729909\t18.310000\n1389730509\t18.380000\n1389731110\t18.380000\n1389731710\t18.380000\n1389732311\t18.380000\n1389732912\t18.380000\n1389733512\t18.310000\n1389734113\t18.380000\n1389734713\t18.380000\n1389735314\t18.440000\n1389735914\t18.380000\n1389736515\t18.310000\n1389737115\t18.310000\n1389737716\t18.310000\n1389738316\t18.250000\n1389738917\t18.310000\n1389739518\t18.310000\n1389740118\t18.250000\n1389740719\t18.120000\n1389741334\t18.190000\n1389741935\t18.120000\n1389742535\t18.120000\n1389743136\t18.190000\n1389743736\t18.250000\n1389744337\t18.190000\n1389744937\t18.190000\n1389745538\t18.190000\n1389746138\t18.190000\n1389746739\t18.190000\n1389747340\t18.120000\n1389747940\t18.120000\n1389748541\t18.120000\n1389749141\t18.120000\n1389749742\t18.120000\n1389750342\t18.060000\n1389750943\t18.120000\n1389751543\t18.060000\n1389752144\t18.060000\n1389752745\t18.060000\n1389753345\t18.120000\n1389753946\t18.120000\n1389754546\t18.120000\n1389755147\t18.120000\n1389755747\t18.060000\n1389756348\t18.060000\n1389756948\t18.060000\n1389757549\t18.060000\n1389758149\t18.120000\n1389758750\t18.120000\n1389759351\t18.190000\n1389759951\t18.120000\n1389760552\t18.120000\n1389761152\t18.190000\n1389761753\t18.190000\n1389762353\t18.250000\n1389762954\t18.310000\n1389763554\t18.250000\n1389764170\t18.310000\n1389764771\t18.310000\n1389765371\t18.380000\n1389765972\t18.440000\n1389766572\t18.380000\n1389767173\t18.440000\n1389767773\t18.440000\n1389768374\t18.440000\n1389768974\t18.380000\n1389769575\t18.440000\n1389770175\t18.380000\n1389770776\t18.440000\n1389771376\t18.440000\n1389771977\t18.380000\n1389772578\t18.440000\n1389773178\t18.500000\n1389773779\t18.500000\n1389774379\t18.500000\n1389774980\t18.560000\n1389775580\t18.560000\n1389776181\t18.560000\n1389776781\t18.560000\n1389777382\t18.620000\n1389777983\t18.560000\n1389778583\t18.560000\n1389779184\t18.440000\n1389779784\t18.500000\n1389780385\t18.500000\n1389780985\t18.440000\n1389781586\t18.500000\n1389782201\t18.440000\n1389782802\t18.440000\n1389783403\t18.440000\n1389784003\t18.440000\n1389784604\t18.380000\n1389785204\t18.380000\n1389785805\t18.250000\n1389786405\t18.310000\n1389787006\t18.250000\n1389787606\t18.380000\n1389788207\t18.380000\n1389788808\t18.380000\n1389789408\t18.380000\n1389790009\t18.380000\n1389790609\t18.000000\n1389791210\t17.620000\n1389791810\t17.250000\n1389792411\t17.750000\n1389793011\t18.000000\n1389793612\t18.250000\n1389794213\t18.440000\n1389794813\t18.560000\n1389795414\t18.690000\n1389796014\t18.690000\n1389796615\t18.810000\n1389797215\t18.880000\n1389797816\t18.880000\n1389798416\t19.000000\n1389799017\t19.000000\n1389799618\t19.060000\n1389800218\t19.120000\n1389800834\t19.120000\n1389801434\t19.190000\n1389802035\t19.120000\n1389802635\t19.190000\n1389803236\t19.190000\n1389803837\t19.120000\n1389804437\t19.120000\n1389805038\t19.000000\n1389805638\t19.060000\n1389806239\t19.120000\n1389806839\t19.120000\n1389807440\t19.060000\n1389808040\t19.120000\n1389808641\t19.060000\n1389809242\t19.060000\n1389809842\t19.000000\n1389810443\t19.060000\n1389811043\t19.000000\n1389811644\t19.060000\n1389812244\t19.060000\n1389812845\t19.000000\n1389813445\t19.060000\n1389814046\t19.000000\n1389814647\t19.060000\n1389815247\t19.060000\n1389815848\t19.060000\n1389816448\t19.120000\n1389817049\t19.120000\n1389817649\t19.000000\n1389818250\t19.000000\n1389818850\t19.000000\n1389819451\t19.060000\n1389820052\t19.000000\n1389820667\t19.000000\n1389821268\t18.940000\n1389821868\t19.000000\n1389822469\t19.000000\n1389823069\t19.000000\n1389823670\t18.940000\n1389824270\t19.000000\n1389824871\t19.000000\n1389825472\t19.060000\n1389826072\t18.940000\n1389826673\t19.000000\n1389827273\t19.000000\n1389827874\t18.940000\n1389828474\t19.000000\n1389829075\t18.940000\n1389829676\t19.000000\n1389830276\t18.940000\n1389830877\t18.880000\n1389831477\t18.880000\n1389832078\t18.940000\n1389832678\t18.940000\n1389833279\t18.940000\n1389833879\t18.940000\n1389834480\t18.880000\n1389835080\t18.940000\n1389835681\t18.940000\n1389836281\t18.940000\n1389836882\t18.940000\n1389837483\t19.000000\n1389838083\t19.060000\n1389838684\t19.000000\n1389839284\t18.940000\n1389839900\t19.000000\n1389840500\t18.940000\n1389841101\t18.940000\n1389841701\t18.940000\n1389842302\t18.940000\n1389842903\t18.940000\n1389843503\t18.940000\n1389844104\t19.000000\n1389844704\t19.060000\n1389845305\t19.060000\n1389845905\t19.120000\n1389846506\t19.000000\n1389847106\t19.060000\n1389847707\t19.000000\n1389848308\t19.000000\n1389848908\t19.000000\n1389849509\t19.000000\n1389850109\t19.000000\n1389850710\t19.060000\n1389851310\t19.120000\n1389851911\t19.060000\n1389852512\t19.120000\n1389853112\t19.060000\n1389853713\t19.060000\n1389854313\t19.120000\n1389854914\t19.120000\n1389855514\t19.060000\n1389856115\t19.060000\n1389856715\t19.060000\n1389857316\t19.060000\n1389857917\t19.120000\n1389858517\t19.120000\n1389859133\t19.120000\n1389859733\t19.120000\n1389860334\t19.190000\n1389860934\t19.120000\n1389861535\t19.060000\n1389862135\t19.060000\n1389862736\t19.060000\n1389863336\t19.060000\n1389863937\t19.120000\n1389864537\t19.190000\n1389865138\t19.190000\n1389865739\t19.250000\n1389866339\t19.250000\n1389866940\t19.250000\n1389867540\t19.250000\n1389868141\t19.190000\n1389868741\t19.190000\n1389869342\t19.250000\n1389869942\t19.250000\n1389870543\t19.250000\n1389871144\t19.190000\n1389871744\t19.310000\n1389872345\t19.310000\n1389872945\t19.250000\n1389873546\t19.250000\n1389874146\t19.310000\n1389874747\t19.310000\n1389875362\t19.380000\n1389875963\t19.380000\n1389876564\t19.250000\n1389877164\t19.310000\n1389877765\t19.310000\n1389878365\t19.250000\n1389878966\t19.310000\n1389879566\t19.310000\n1389880167\t19.310000\n1389880767\t19.380000\n1389881368\t19.380000\n1389881968\t19.380000\n1389882569\t19.380000\n1389883170\t19.380000\n1389883770\t19.380000\n1389884371\t19.310000\n1389884971\t19.250000\n1389885572\t19.310000\n1389886172\t19.310000\n1389886773\t19.250000\n1389887373\t19.250000\n1389887974\t19.250000\n1389888575\t19.380000\n1389889175\t19.310000\n1389889776\t19.310000\n1389890376\t19.310000\n1389890977\t19.310000\n1389891577\t19.310000\n1389892178\t19.380000\n1389892793\t19.250000\n1389893394\t19.310000\n1389893995\t19.250000\n1389894595\t19.380000\n1389895196\t19.380000\n1389895796\t19.380000\n1389896397\t19.380000\n1389896997\t19.380000\n1389897598\t19.380000\n1389898198\t19.310000\n1389898799\t19.310000\n1389899400\t19.310000\n1389900000\t19.310000\n1389900601\t19.310000\n1389901201\t19.310000\n1389901802\t19.310000\n1389902402\t19.310000\n1389903003\t19.310000\n1389903603\t19.310000\n1389904204\t19.310000\n1389904804\t19.310000\n1389905405\t19.310000\n1389906006\t19.190000\n1389906606\t19.250000\n1389907207\t19.190000\n1389907807\t19.190000\n1389908408\t19.190000\n1389909008\t19.250000\n1389909609\t19.190000\n1389910209\t19.190000\n1389910810\t19.120000\n1389911411\t19.120000\n1389912011\t19.190000\n1389912627\t19.120000\n1389913227\t19.120000\n1389913828\t19.190000\n1389914428\t19.060000\n1389915029\t19.060000\n1389915629\t19.060000\n1389916230\t19.060000\n1389916830\t19.060000\n1389917431\t19.000000\n1389918031\t19.060000\n1389918632\t19.000000\n1389919232\t18.940000\n1389919833\t18.940000\n1389920433\t18.880000\n1389921034\t18.940000\n1389921635\t18.880000\n1389922235\t18.810000\n1389922836\t18.810000\n1389923436\t18.810000\n1389924037\t18.810000\n1389924637\t18.810000\n1389925238\t18.810000\n1389925838\t18.880000\n1389926439\t18.810000\n1389927040\t18.810000\n1389927640\t18.810000\n1389928241\t18.810000\n1389928841\t18.810000\n1389929457\t18.750000\n1389930057\t18.750000\n1389930658\t18.690000\n1389931258\t18.690000\n1389931859\t18.690000\n1389932459\t18.690000\n1389933060\t18.620000\n1389933661\t18.620000\n1389934261\t18.620000\n1389934862\t18.620000\n1389935462\t18.560000\n1389936063\t18.500000\n1389936663\t18.440000\n1389937264\t18.440000\n1389937864\t18.310000\n1389938465\t18.440000\n1389939066\t18.310000\n1389939666\t18.310000\n1389940267\t18.250000\n1389940867\t18.250000\n1389941468\t18.190000\n1389942068\t18.190000\n1389942669\t18.120000\n1389943269\t18.190000\n1389943870\t18.190000\n1389944471\t18.190000\n1389945071\t18.120000\n1389945672\t18.190000\n1389946272\t18.190000\n1389946873\t18.060000\n1389947473\t18.060000\n1389948074\t18.060000\n1389948674\t18.060000\n1389949290\t18.000000\n1389949890\t18.000000\n1389950491\t18.000000\n1389951092\t17.940000\n1389951692\t17.880000\n1389952293\t17.940000\n1389952893\t17.750000\n1389953494\t17.880000\n1389954094\t17.880000\n1389954695\t17.880000\n1389955295\t17.810000\n1389955896\t17.750000\n1389956496\t17.750000\n1389957097\t17.750000\n1389957698\t17.810000\n1389958298\t17.750000\n1389958899\t17.750000\n1389959499\t17.810000\n1389960100\t17.810000\n1389960700\t17.810000\n1389961301\t17.880000\n1389961901\t17.880000\n1389962502\t17.880000\n1389963102\t17.880000\n1389963703\t17.940000\n1389964304\t18.000000\n1389964904\t18.060000\n1389965505\t18.060000\n1389966105\t18.060000\n1389966706\t18.060000\n1389967306\t18.060000\n1389967907\t18.000000\n1389968523\t17.940000\n1389969123\t17.940000\n1389969724\t18.000000\n1389970324\t17.940000\n1389970925\t18.060000\n1389971525\t17.940000\n1389972126\t18.000000\n1389972726\t18.000000\n1389973327\t18.000000\n1389973928\t18.000000\n1389974528\t18.060000\n1389975129\t18.000000\n1389975729\t18.060000\n1389976330\t18.060000\n1389976930\t18.000000\n1389977531\t18.000000\n1389978131\t18.000000\n1389978732\t18.000000\n1389979333\t18.060000\n1389979933\t18.060000\n1389980534\t18.060000\n1389981134\t18.120000\n1389981735\t18.120000\n1389982335\t18.190000\n1389982936\t18.190000\n1389983536\t18.190000\n1389984137\t18.120000\n1389984738\t18.120000\n1389985338\t18.120000\n1389985939\t18.060000\n1389986539\t18.120000\n1389987155\t18.000000\n1389987755\t18.000000\n1389988356\t17.940000\n1389988956\t17.880000\n1389989557\t17.880000\n1389990158\t17.880000\n1389990758\t17.880000\n1389991359\t17.880000\n1389991959\t17.880000\n1389992560\t17.810000\n1389993160\t17.810000\n1389993761\t17.880000\n1389994361\t17.880000\n1389994962\t17.880000\n1389995563\t17.880000\n1389996163\t17.880000\n1389996764\t17.810000\n1389997364\t17.810000\n1389997965\t17.810000\n1389998565\t17.880000\n1389999166\t17.810000\n1389999766\t17.880000\n1390000367\t18.000000\n1390000967\t17.880000\n1390001568\t18.000000\n1390002169\t18.060000\n1390002769\t18.060000\n1390003370\t18.060000\n1390003970\t18.060000\n1390004571\t18.060000\n1390005186\t18.120000\n1390005787\t18.190000\n1390006387\t18.120000\n1390006988\t18.190000\n1390007589\t18.120000\n1390008189\t18.190000\n1390008790\t18.190000\n1390009390\t18.250000\n1390009991\t18.250000\n1390010591\t18.190000\n1390011192\t18.250000\n1390011793\t18.310000\n1390012393\t18.310000\n1390012994\t18.310000\n1390013594\t18.310000\n1390014195\t18.250000\n1390014795\t18.250000\n1390015396\t18.310000\n1390015996\t18.250000\n1390016597\t18.250000\n1390017197\t18.250000\n1390017798\t18.190000\n1390018399\t18.190000\n1390018999\t18.120000\n1390019600\t18.190000\n1390020200\t18.120000\n1390020801\t18.120000\n1390021401\t18.120000\n1390022002\t18.120000\n1390022602\t18.120000\n1390023203\t18.120000\n1390023803\t18.060000\n1390024404\t18.000000\n1390025020\t18.120000\n1390025620\t18.000000\n1390026221\t18.000000\n1390026821\t18.000000\n1390027422\t18.000000\n1390028022\t17.940000\n1390028623\t17.880000\n1390029224\t17.880000\n1390029824\t17.940000\n1390030425\t17.880000\n1390031025\t17.940000\n1390031626\t17.940000\n1390032226\t17.940000\n1390032827\t17.940000\n1390033427\t18.000000\n1390034028\t18.060000\n1390034629\t18.000000\n1390035229\t18.000000\n1390035830\t18.000000\n1390036430\t18.060000\n1390037031\t18.000000\n1390037631\t18.000000\n1390038232\t17.940000\n1390038832\t18.000000\n1390039433\t18.000000\n1390040034\t17.940000\n1390040634\t17.940000\n1390041235\t17.880000\n1390041835\t17.880000\n1390042436\t17.940000\n1390043036\t18.000000\n1390043652\t18.000000\n1390044252\t18.000000\n1390044853\t18.000000\n1390045453\t18.060000\n1390046054\t18.120000\n1390046655\t18.120000\n1390047255\t18.120000\n1390047856\t18.120000\n1390048456\t18.060000\n1390049057\t18.120000\n1390049657\t18.060000\n1390050258\t18.060000\n1390050858\t18.060000\n1390051459\t18.000000\n1390052060\t18.000000\n1390052660\t18.060000\n1390053261\t18.120000\n1390053861\t18.120000\n1390054462\t18.060000\n1390055062\t18.120000\n1390055663\t18.120000\n1390056263\t18.120000\n1390056864\t18.120000\n1390057465\t18.060000\n1390058065\t18.000000\n1390058666\t17.000000\n1390059266\t16.250000\n1390059867\t15.940000\n1390060467\t15.620000\n1390061068\t15.560000\n1390061669\t15.620000\n1390062284\t15.810000\n1390062885\t15.750000\n1390063485\t15.560000\n1390064086\t15.620000\n1390064686\t15.620000\n1390065287\t15.500000\n1390065887\t15.440000\n1390066488\t15.380000\n1390067089\t15.190000\n1390067689\t15.060000\n1390068290\t15.120000\n1390068890\t15.000000\n1390069491\t15.000000\n1390070091\t15.000000\n1390070692\t15.060000\n1390071293\t15.060000\n1390071893\t15.060000\n1390072494\t15.060000\n1390073094\t15.120000\n1390073695\t15.120000\n1390074295\t15.120000\n1390074896\t15.120000\n1390075496\t15.120000\n1390076097\t15.190000\n1390076698\t15.060000\n1390077298\t15.000000\n1390077899\t14.940000\n1390078499\t14.880000\n1390079100\t14.810000\n1390079700\t14.750000\n1390080301\t14.750000\n1390080901\t14.750000\n1390081517\t14.690000\n1390082118\t14.690000\n1390082718\t14.750000\n1390083319\t14.690000\n1390083919\t14.690000\n1390084520\t14.620000\n1390085120\t14.620000\n1390085721\t14.620000\n1390086322\t14.560000\n1390086922\t14.500000\n1390087523\t14.620000\n1390088123\t14.560000\n1390088724\t14.500000\n1390089324\t14.500000\n1390089925\t14.500000\n1390090525\t14.500000\n1390091126\t14.500000\n1390091726\t14.500000\n1390092327\t14.500000\n1390092928\t14.500000\n1390093528\t14.440000\n1390094129\t14.380000\n1390094729\t14.310000\n1390095330\t14.310000\n1390095930\t14.310000\n1390096531\t14.250000\n1390097131\t14.250000\n1390097732\t14.250000\n1390098332\t14.190000\n1390098933\t14.250000\n1390099534\t14.190000\n1390100134\t14.250000\n1390100750\t14.310000\n1390101350\t14.250000\n1390101951\t14.250000\n1390102551\t14.380000\n1390103152\t14.310000\n1390103752\t14.310000\n1390104353\t14.310000\n1390104953\t14.310000\n1390105554\t14.310000\n1390106155\t14.250000\n1390106755\t14.310000\n1390107356\t14.310000\n1390107956\t14.250000\n1390108557\t14.250000\n1390109157\t14.250000\n1390109758\t14.250000\n1390110358\t14.250000\n1390110959\t14.250000\n1390111559\t14.190000\n1390112160\t14.120000\n1390112761\t14.120000\n1390113361\t14.190000\n1390113962\t14.060000\n1390114562\t14.120000\n1390115163\t14.120000\n1390115763\t14.120000\n1390116364\t14.190000\n1390116964\t14.190000\n1390117565\t14.120000\n1390118166\t14.120000\n1390118766\t14.060000\n1390119382\t14.120000\n1390119982\t14.190000\n1390120583\t14.190000\n1390121183\t14.250000\n1390121784\t13.940000\n1390122384\t14.560000\n1390122985\t14.940000\n1390123586\t15.120000\n1390124186\t15.310000\n1390124787\t15.440000\n1390125387\t15.620000\n1390125988\t15.620000\n1390126588\t15.750000\n1390127189\t15.690000\n1390127789\t15.810000\n1390128390\t15.880000\n1390128991\t16.120000\n1390129591\t16.380000\n1390130192\t16.620000\n1390130792\t16.750000\n1390131393\t16.940000\n1390131993\t16.940000\n1390132594\t16.880000\n1390133194\t17.000000\n1390133795\t17.000000\n1390134395\t17.000000\n1390134996\t17.000000\n1390135597\t17.000000\n1390136197\t17.000000\n1390136798\t17.120000\n1390137398\t17.060000\n1390137999\t17.120000\n1390138599\t17.120000\n1390139200\t17.190000\n1390139800\t17.120000\n1390140401\t17.190000\n1390141002\t17.190000\n1390141617\t17.120000\n1390142218\t17.060000\n1390142818\t17.060000\n1390143419\t15.250000\n1390144019\t16.190000\n1390144620\t16.060000\n1390145220\t16.190000\n1390145821\t16.250000\n1390146422\t16.380000\n1390147022\t16.310000\n1390147623\t16.310000\n1390148223\t16.250000\n1390148824\t16.190000\n1390149424\t16.250000\n1390150025\t16.250000\n1390150625\t16.190000\n1390151226\t16.250000\n1390151827\t16.190000\n1390152427\t16.120000\n1390153028\t16.120000\n1390153628\t16.120000\n1390154229\t16.060000\n1390154829\t16.000000\n1390155430\t16.000000\n1390156030\t16.000000\n1390156631\t15.940000\n1390157232\t16.060000\n1390157832\t16.000000\n1390158433\t16.000000\n1390159033\t16.060000\n1390159634\t16.000000\n1390160234\t16.060000\n1390160835\t16.000000\n1390161435\t16.000000\n1390162036\t16.060000\n1390162637\t16.000000\n1390163252\t16.000000\n1390163853\t16.000000\n1390164453\t15.940000\n1390165054\t15.940000\n1390165654\t15.880000\n1390166255\t15.940000\n1390166855\t15.810000\n1390167456\t15.810000\n1390168056\t15.810000\n1390168657\t15.810000\n1390169257\t15.750000\n1390169858\t15.750000\n1390170458\t15.750000\n1390171059\t15.750000\n1390171660\t15.750000\n1390172260\t15.750000\n1390172861\t15.810000\n1390173461\t15.880000\n1390174062\t15.810000\n1390174662\t15.880000\n1390175263\t15.880000\n1390175863\t15.880000\n1390176464\t16.000000\n1390177065\t15.940000\n1390177665\t16.000000\n1390178266\t16.000000\n1390178866\t16.060000\n1390179467\t16.060000\n1390180067\t16.190000\n1390180668\t16.120000\n1390181268\t16.120000\n1390181869\t16.190000\n1390182485\t16.190000\n1390183085\t16.120000\n1390183686\t16.190000\n1390184286\t16.190000\n1390184887\t16.250000\n1390185487\t16.310000\n1390186088\t16.250000\n1390186688\t16.250000\n1390187289\t16.310000\n1390187890\t16.380000\n1390188490\t16.380000\n1390189091\t16.380000\n1390189691\t16.380000\n1390190292\t16.250000\n1390190892\t16.310000\n1390191493\t16.380000\n1390192093\t16.380000\n1390192694\t16.310000\n1390193295\t16.380000\n1390193895\t16.380000\n1390194496\t16.380000\n1390195096\t16.380000\n1390195697\t16.440000\n1390196297\t16.440000\n1390196898\t16.500000\n1390197498\t16.500000\n1390198099\t16.500000\n1390198699\t16.440000\n1390199300\t16.500000\n1390199901\t16.500000\n1390200501\t16.440000\n1390201102\t16.560000\n1390201702\t16.560000\n1390202318\t16.620000\n1390202918\t16.620000\n1390203519\t16.560000\n1390204119\t16.500000\n1390204720\t16.560000\n1390205321\t16.560000\n1390205921\t16.560000\n1390206522\t16.620000\n1390207122\t16.620000\n1390207723\t16.620000\n1390208323\t16.620000\n1390208924\t16.690000\n1390209524\t16.620000\n1390210125\t16.690000\n1390210725\t16.690000\n1390211326\t16.690000\n1390211926\t16.750000\n1390212527\t16.750000\n1390213127\t16.690000\n1390213728\t16.750000\n1390214328\t16.690000\n1390214929\t16.750000\n1390215530\t16.750000\n1390216130\t16.810000\n1390216731\t16.750000\n1390217331\t16.690000\n1390217932\t16.690000\n1390218532\t16.620000\n1390219148\t16.690000\n1390219748\t16.750000\n1390220349\t16.690000\n1390220949\t16.690000\n1390221550\t16.750000\n1390222150\t16.620000\n1390222751\t16.690000\n1390223352\t16.620000\n1390223952\t16.690000\n1390224553\t16.620000\n1390225153\t16.750000\n1390225754\t16.750000\n1390226354\t16.750000\n1390226955\t16.750000\n1390227555\t16.810000\n1390228156\t16.690000\n1390228756\t16.750000\n1390229357\t16.750000\n1390229957\t16.750000\n1390230558\t16.880000\n1390231158\t16.940000\n1390231759\t16.940000\n1390232359\t17.000000\n1390232960\t16.880000\n1390233560\t16.940000\n1390234161\t16.810000\n1390234762\t16.880000\n1390235362\t16.880000\n1390235963\t16.810000\n1390236563\t16.810000\n1390237164\t16.690000\n1390237779\t16.810000\n1390238380\t16.690000\n1390238980\t16.750000\n1390239581\t16.690000\n1390240181\t16.750000\n1390240782\t16.620000\n1390241382\t16.620000\n1390241983\t16.690000\n1390242583\t16.750000\n1390243184\t16.750000\n1390243785\t16.750000\n1390244385\t16.880000\n1390244986\t16.810000\n1390245586\t16.440000\n1390246187\t15.810000\n1390246787\t16.190000\n1390247388\t16.500000\n1390247988\t16.690000\n1390248589\t16.690000\n1390249189\t16.750000\n1390249790\t16.690000\n1390250390\t16.750000\n1390250991\t16.750000\n1390251592\t16.750000\n1390252192\t16.810000\n1390252793\t16.810000\n1390253393\t16.810000\n1390253994\t16.810000\n1390254594\t16.750000\n1390255195\t16.750000\n1390255795\t16.810000\n1390256396\t16.810000\n1390256996\t16.750000\n1390257612\t16.880000\n1390258213\t16.810000\n1390258813\t16.880000\n1390259414\t16.880000\n1390260014\t17.000000\n1390260615\t17.060000\n1390261215\t17.060000\n1390261816\t17.060000\n1390262416\t16.940000\n1390263017\t16.940000\n1390263618\t16.940000\n1390264218\t16.810000\n1390264819\t16.880000\n1390265419\t16.880000\n1390266020\t16.880000\n1390266620\t16.880000\n1390267221\t16.810000\n1390267821\t16.810000\n1390268422\t16.810000\n1390269022\t16.880000\n1390269623\t16.880000\n1390270223\t16.880000\n1390270824\t16.880000\n1390271424\t17.000000\n1390272025\t16.940000\n1390272625\t16.940000\n1390273226\t17.000000\n1390273826\t17.000000\n1390274427\t17.000000\n1390275027\t17.000000\n1390275643\t17.000000\n1390276243\t17.000000\n1390276844\t17.060000\n1390277444\t17.060000\n1390278045\t17.000000\n1390278645\t17.000000\n1390279246\t17.000000\n1390279846\t17.000000\n1390280447\t17.000000\n1390281048\t17.000000\n1390281648\t17.000000\n1390282249\t17.000000\n1390282849\t17.060000\n1390283450\t17.120000\n1390284050\t17.120000\n1390284651\t17.120000\n1390285251\t17.060000\n1390285852\t17.060000\n1390286452\t17.120000\n1390287053\t17.120000\n1390287653\t17.120000\n1390288254\t17.120000\n1390288855\t17.120000\n1390289455\t17.120000\n1390290056\t17.120000\n1390290656\t17.250000\n1390291257\t17.250000\n1390291857\t17.190000\n1390292458\t17.190000\n1390293058\t17.120000\n1390293674\t17.190000\n1390294275\t17.120000\n1390294875\t17.190000\n1390295476\t17.000000\n1390296076\t17.060000\n1390296677\t17.120000\n1390297277\t17.190000\n1390297878\t17.250000\n1390298478\t17.310000\n1390299079\t17.310000\n1390299679\t17.380000\n1390300280\t17.440000\n1390300880\t17.440000\n1390301481\t17.500000\n1390302081\t17.380000\n1390302682\t17.380000\n1390303283\t17.310000\n1390303883\t17.310000\n1390304484\t17.310000\n1390305084\t17.310000\n1390305685\t17.250000\n1390306285\t17.250000\n1390306886\t17.250000\n1390307486\t17.250000\n1390308087\t17.250000\n1390308687\t17.190000\n1390309288\t17.250000\n1390309888\t16.940000\n1390310489\t17.000000\n1390311090\t17.000000\n1390311690\t16.940000\n1390312306\t16.940000\n1390312906\t17.000000\n1390313507\t16.940000\n1390314107\t17.000000\n1390314708\t17.000000\n1390315308\t17.060000\n1390315909\t17.000000\n1390316509\t17.060000\n1390317110\t17.060000\n1390317711\t17.000000\n1390318311\t16.940000\n1390318912\t17.060000\n1390319512\t17.060000\n1390320113\t17.190000\n1390320713\t17.120000\n1390321314\t17.190000\n1390321914\t17.000000\n1390322515\t16.940000\n1390323116\t16.940000\n1390323716\t16.880000\n1390324317\t16.880000\n1390324917\t16.940000\n1390325518\t16.940000\n1390326118\t16.940000\n1390326719\t16.880000\n1390327319\t16.940000\n1390327920\t17.000000\n1390328521\t17.000000\n1390329121\t16.940000\n1390329722\t17.000000\n1390330322\t17.060000\n1390330938\t17.000000\n1390331538\t17.000000\n1390332139\t17.000000\n1390332739\t17.000000\n1390333340\t17.060000\n1390333940\t17.060000\n1390334541\t17.000000\n1390335141\t17.060000\n1390335742\t17.060000\n1390336343\t17.060000\n1390336943\t17.060000\n1390337544\t17.060000\n1390338144\t17.000000\n1390338745\t17.000000\n1390339345\t17.060000\n1390339946\t17.060000\n1390340546\t17.000000\n1390341147\t17.000000\n1390341747\t17.060000\n1390342348\t17.060000\n1390342948\t17.000000\n1390343549\t17.060000\n1390344149\t17.060000\n1390344750\t17.060000\n1390345351\t17.060000\n1390345951\t17.120000\n1390346552\t17.060000\n1390347152\t17.060000\n1390347753\t17.120000\n1390348368\t17.060000\n1390348969\t17.120000\n1390349569\t17.190000\n1390350170\t17.190000\n1390350771\t17.250000\n1390351371\t17.120000\n1390351972\t17.060000\n1390352572\t17.060000\n1390353173\t17.000000\n1390353773\t17.060000\n1390354374\t17.060000\n1390354974\t17.060000\n1390355575\t17.060000\n1390356175\t17.120000\n1390356776\t17.060000\n1390357376\t17.190000\n1390357977\t17.190000\n1390358578\t17.120000\n1390359178\t17.190000\n1390359779\t17.190000\n1390360379\t17.190000\n1390360980\t17.190000\n1390361580\t17.190000\n1390362181\t17.190000\n1390362781\t17.190000\n1390363382\t17.190000\n1390363982\t17.250000\n1390364583\t17.310000\n1390365183\t17.250000\n1390365784\t17.250000\n1390366384\t17.250000\n1390366985\t17.250000\n1390367601\t17.190000\n1390368201\t17.250000\n1390368802\t17.310000\n1390369402\t17.250000\n1390370003\t17.310000\n1390370603\t17.310000\n1390371204\t17.250000\n1390371804\t17.250000\n1390372405\t17.310000\n1390373005\t17.310000\n1390373606\t17.250000\n1390374207\t17.310000\n1390374807\t17.310000\n1390375408\t17.310000\n1390376008\t17.250000\n1390376609\t17.250000\n1390377209\t17.190000\n1390377810\t17.250000\n1390378410\t17.000000\n1390379011\t17.190000\n1390379611\t17.380000\n1390380212\t17.440000\n1390380813\t17.380000\n1390381413\t17.250000\n1390382014\t17.250000\n1390382614\t17.310000\n1390383215\t17.380000\n1390383815\t17.380000\n1390384416\t17.310000\n1390385016\t17.380000\n1390385632\t17.380000\n1390386232\t17.310000\n1390386833\t17.380000\n1390387434\t17.380000\n1390388034\t17.380000\n1390388635\t17.380000\n1390389235\t17.380000\n1390389836\t17.000000\n1390390436\t17.120000\n1390391037\t17.190000\n1390391637\t17.250000\n1390392238\t17.250000\n1390392838\t17.190000\n1390393439\t17.250000\n1390394040\t17.310000\n1390394640\t17.250000\n1390395241\t17.310000\n1390395841\t17.190000\n1390396442\t17.250000\n1390397042\t17.120000\n1390397643\t17.190000\n1390398243\t17.250000\n1390398844\t17.250000\n1390399444\t17.250000\n1390400045\t17.250000\n1390400646\t17.190000\n1390401246\t17.190000\n1390401847\t17.250000\n1390402447\t17.250000\n1390403048\t17.190000\n1390403648\t17.190000\n1390404264\t17.190000\n1390404864\t17.190000\n1390405465\t17.190000\n1390406065\t17.120000\n1390406666\t17.190000\n1390407266\t17.120000\n1390407867\t17.190000\n1390408467\t17.120000\n1390409068\t17.310000\n1390409668\t17.380000\n1390410269\t17.380000\n1390410870\t17.000000\n1390411470\t17.060000\n1390412071\t17.060000\n1390412671\t17.120000\n1390413272\t17.190000\n1390413872\t17.190000\n1390414473\t17.250000\n1390415073\t17.250000\n1390415674\t17.250000\n1390416274\t17.250000\n1390416875\t17.310000\n1390417476\t17.310000\n1390418076\t17.310000\n1390418677\t17.310000\n1390419277\t17.310000\n1390419878\t17.310000\n1390420478\t17.310000\n1390421079\t17.250000\n1390421679\t17.310000\n1390422280\t17.310000\n1390422880\t17.310000\n1390423481\t17.310000\n1390424096\t17.310000\n1390424697\t17.310000\n1390425298\t17.250000\n1390425898\t17.250000\n1390426499\t17.250000\n1390427099\t17.250000\n1390427700\t17.190000\n1390428300\t17.190000\n1390428901\t17.250000\n1390429501\t17.190000\n1390430102\t17.060000\n1390430702\t17.120000\n1390431303\t17.120000\n1390431904\t17.120000\n1390432504\t17.060000\n1390433105\t17.000000\n1390433705\t17.060000\n1390434306\t17.060000\n1390434906\t17.060000\n1390435507\t17.190000\n1390436107\t17.190000\n1390436708\t17.190000\n1390437308\t17.250000\n1390437909\t17.250000\n1390438510\t17.380000\n1390439110\t17.500000\n1390439711\t17.500000\n1390440311\t17.380000\n1390440912\t17.380000\n1390441512\t17.380000\n1390442113\t17.310000\n1390442728\t17.310000\n1390443329\t17.250000\n1390443929\t17.310000\n1390444530\t17.380000\n1390445130\t17.380000\n1390445731\t17.310000\n1390446331\t17.380000\n1390446932\t17.380000\n1390447533\t17.380000\n1390448133\t17.310000\n1390448734\t17.380000\n1390449334\t17.310000\n1390449935\t17.310000\n1390450535\t17.310000\n1390451136\t17.310000\n1390451736\t17.380000\n1390452337\t17.310000\n1390452937\t17.310000\n1390453538\t17.380000\n1390454138\t17.310000\n1390454739\t17.310000\n1390455340\t17.440000\n1390455940\t17.440000\n1390456541\t17.380000\n1390457141\t17.310000\n1390457742\t17.250000\n1390458342\t17.310000\n1390458943\t17.310000\n1390459543\t17.310000\n1390460144\t17.250000\n1390460744\t17.310000\n1390461345\t17.310000\n1390461960\t17.310000\n1390462561\t17.310000\n1390463162\t17.250000\n1390463762\t17.310000\n1390464363\t17.310000\n1390464963\t17.310000\n1390465564\t17.250000\n1390466164\t17.250000\n1390466765\t17.250000\n1390467365\t17.250000\n1390467966\t17.250000\n1390468566\t17.380000\n1390469167\t17.440000\n1390469767\t17.380000\n1390470368\t17.190000\n1390470969\t17.120000\n1390471569\t17.190000\n1390472170\t17.120000\n1390472770\t17.190000\n1390473371\t17.190000\n1390473971\t17.120000\n1390474572\t17.060000\n1390475172\t17.060000\n1390475773\t17.000000\n1390476373\t17.120000\n1390476974\t17.060000\n1390477574\t17.060000\n1390478175\t17.120000\n1390478775\t17.190000\n1390479376\t17.120000\n1390479977\t17.120000\n1390480577\t17.060000\n1390481193\t17.060000\n1390481793\t17.000000\n1390482394\t17.000000\n1390482994\t17.120000\n1390483595\t17.120000\n1390484195\t17.120000\n1390484796\t17.120000\n1390485397\t17.060000\n1390485997\t17.190000\n1390486598\t17.060000\n1390487198\t17.060000\n1390487799\t17.120000\n1390488399\t17.120000\n1390489000\t17.060000\n1390489600\t17.060000\n1390490201\t17.060000\n1390490802\t17.060000\n1390491402\t17.120000\n1390492003\t17.060000\n1390492603\t17.060000\n1390493204\t17.060000\n1390493804\t17.060000\n1390494405\t17.000000\n1390495005\t17.000000\n1390495606\t17.000000\n1390496207\t17.060000\n1390496807\t17.000000\n1390497408\t17.000000\n1390498008\t17.190000\n1390498624\t17.310000\n1390499224\t17.380000\n1390499825\t17.190000\n1390500425\t17.120000\n1390501026\t17.060000\n1390501627\t17.000000\n1390502227\t17.000000\n1390502828\t17.000000\n1390503428\t17.060000\n1390504029\t17.000000\n1390504629\t17.060000\n1390505230\t17.060000\n1390505830\t17.060000\n1390506431\t17.000000\n1390507031\t17.000000\n1390507632\t17.000000\n1390508232\t16.940000\n1390508833\t17.000000\n1390509433\t17.000000\n1390510034\t16.940000\n1390510635\t16.940000\n1390511235\t17.000000\n1390511836\t16.940000\n1390512436\t16.880000\n1390513037\t16.880000\n1390513637\t16.940000\n1390514238\t16.880000\n1390514838\t16.810000\n1390515439\t16.880000\n1390516039\t16.880000\n1390516640\t16.880000\n1390517256\t16.940000\n1390517856\t16.880000\n1390518457\t16.880000\n1390519057\t16.880000\n1390519658\t16.880000\n1390520258\t16.880000\n1390520859\t16.880000\n1390521459\t16.880000\n1390522060\t16.880000\n1390522660\t16.880000\n1390523261\t16.880000\n1390523861\t16.880000\n1390524462\t16.940000\n1390525062\t16.940000\n1390525663\t16.940000\n1390526263\t17.000000\n1390526864\t16.940000\n1390527465\t17.120000\n1390528065\t17.120000\n1390528666\t17.250000\n1390529266\t17.060000\n1390529867\t17.060000\n1390530467\t17.000000\n1390531068\t17.060000\n1390531668\t17.000000\n1390532269\t17.000000\n1390532870\t17.060000\n1390533470\t17.000000\n1390534071\t17.060000\n1390534671\t17.060000\n1390535272\t17.060000\n1390535887\t17.060000\n1390536488\t17.060000\n1390537088\t17.000000\n1390537689\t17.060000\n1390538289\t17.060000\n1390538890\t17.120000\n1390539491\t17.120000\n1390540091\t17.120000\n1390540692\t17.120000\n1390541292\t17.190000\n1390541893\t17.190000\n1390542493\t17.310000\n1390543094\t17.250000\n1390543694\t17.190000\n1390544295\t17.190000\n1390544895\t17.250000\n1390545496\t17.190000\n1390546096\t17.190000\n1390546697\t17.190000\n1390547298\t17.120000\n1390547898\t17.120000\n1390548499\t17.190000\n1390549099\t17.190000\n1390549700\t17.190000\n1390550300\t17.190000\n1390550901\t17.120000\n1390551501\t17.190000\n1390552102\t17.190000\n1390552717\t17.250000\n1390553318\t17.250000\n1390553918\t17.250000\n1390554519\t17.250000\n1390555120\t17.250000\n1390555720\t17.250000\n1390556321\t17.250000\n1390556921\t17.310000\n1390557522\t17.440000\n1390558122\t17.500000\n1390558723\t17.500000\n1390559323\t17.310000\n1390559924\t17.310000\n1390560524\t17.310000\n1390561125\t17.380000\n1390561726\t17.310000\n1390562326\t17.310000\n1390562927\t17.310000\n1390563527\t17.310000\n1390564128\t17.380000\n1390564728\t17.380000\n1390565329\t17.380000\n1390565929\t17.380000\n1390566530\t17.380000\n1390567130\t17.380000\n1390567731\t17.380000\n1390568331\t17.310000\n1390568932\t17.380000\n1390569533\t17.380000\n1390570133\t17.380000\n1390570734\t17.440000\n1390571334\t17.440000\n1390571935\t17.380000\n1390572550\t17.440000\n1390573151\t17.380000\n1390573751\t17.440000\n1390574352\t17.440000\n1390574952\t17.380000\n1390575553\t17.440000\n1390576154\t17.440000\n1390576754\t17.440000\n1390577355\t17.440000\n1390577955\t17.500000\n1390578556\t17.500000\n1390579156\t17.500000\n1390579757\t17.500000\n1390580357\t17.500000\n1390580958\t17.500000\n1390581558\t17.560000\n1390582159\t17.620000\n1390582759\t17.560000\n1390583360\t17.560000\n1390583960\t17.560000\n1390584561\t17.560000\n1390585161\t17.560000\n1390585762\t17.500000\n1390586363\t17.620000\n1390586963\t17.690000\n1390587564\t17.810000\n1390588164\t17.810000\n1390588765\t17.620000\n1390589365\t17.560000\n1390589966\t17.560000\n1390590566\t17.560000\n1390591167\t17.620000\n1390591767\t17.620000\n1390592368\t17.560000\n1390592984\t17.560000\n1390593584\t17.690000\n1390594185\t17.620000\n1390594785\t17.560000\n1390595386\t17.560000\n1390595986\t17.560000\n1390596587\t17.500000\n1390597187\t17.500000\n1390597788\t17.500000\n1390598388\t17.560000\n1390598989\t17.620000\n1390599589\t17.560000\n1390600190\t17.560000\n1390600790\t17.560000\n1390601391\t17.620000\n1390601992\t17.620000\n1390602592\t17.620000\n1390603193\t17.620000\n1390603793\t17.620000\n1390604394\t17.620000\n1390604994\t17.620000\n1390605595\t17.690000\n1390606195\t17.620000\n1390606796\t17.620000\n1390607396\t17.620000\n1390607997\t17.620000\n1390608598\t17.690000\n1390609198\t17.690000\n1390609799\t17.620000\n1390610399\t17.620000\n1390611000\t17.560000\n1390611600\t17.560000\n1390612201\t17.560000\n1390612801\t17.560000\n1390613402\t17.560000\n1390614002\t17.620000\n1390614618\t17.560000\n1390615219\t17.560000\n1390615819\t17.560000\n1390616420\t17.690000\n1390617020\t17.750000\n1390617621\t17.750000\n1390618221\t17.750000\n1390618822\t17.690000\n1390619422\t17.690000\n1390620023\t17.560000\n1390620623\t17.500000\n1390621224\t17.500000\n1390621824\t17.560000\n1390622425\t17.620000\n1390623026\t17.560000\n1390623626\t17.690000\n1390624227\t17.560000\n1390624827\t17.560000\n1390625428\t17.560000\n1390626028\t17.560000\n1390626629\t17.560000\n1390627229\t17.560000\n1390627830\t17.560000\n1390628430\t17.620000\n1390629031\t17.690000\n1390629631\t17.560000\n1390630232\t17.440000\n1390630832\t17.440000\n1390631433\t17.500000\n1390632034\t17.310000\n1390632649\t17.250000\n1390633250\t17.250000\n1390633850\t17.250000\n1390634451\t17.250000\n1390635051\t17.250000\n1390635652\t17.380000\n1390636252\t17.380000\n1390636853\t17.310000\n1390637453\t17.250000\n1390638054\t17.190000\n1390638655\t17.000000\n1390639255\t17.000000\n1390639856\t17.000000\n1390640456\t17.000000\n1390641057\t17.000000\n1390641657\t17.000000\n1390642258\t16.940000\n1390642858\t16.810000\n1390643459\t16.810000\n1390644060\t16.880000\n1390644660\t16.880000\n1390645261\t17.000000\n1390645861\t17.000000\n1390646462\t17.060000\n1390647062\t17.190000\n1390647663\t17.190000\n1390648263\t17.120000\n1390648864\t17.190000\n1390649464\t17.190000\n1390650065\t17.190000\n1390650665\t17.250000\n1390651266\t17.190000\n1390651867\t17.060000\n1390652482\t17.060000\n1390653083\t17.060000\n1390653683\t17.060000\n1390654284\t17.060000\n1390654884\t17.190000\n1390655485\t17.190000\n1390656085\t17.190000\n1390656686\t17.310000\n1390657287\t17.310000\n1390657887\t17.250000\n1390658488\t17.250000\n1390659088\t17.190000\n1390659689\t17.380000\n1390660289\t17.310000\n1390660890\t17.440000\n1390661490\t17.440000\n1390662091\t17.440000\n1390662691\t17.440000\n1390663292\t17.440000\n1390663892\t17.440000\n1390664493\t17.380000\n1390665094\t17.440000\n1390665694\t17.440000\n1390666295\t17.500000\n1390666895\t17.380000\n1390667496\t17.440000\n1390668096\t17.500000\n1390668697\t17.440000\n1390669297\t17.440000\n1390669898\t17.440000\n1390670498\t17.440000\n1390671099\t17.500000\n1390671715\t17.440000\n1390672315\t17.500000\n1390672916\t17.440000\n1390673516\t17.500000\n1390674117\t17.500000\n1390674717\t17.500000\n1390675318\t17.560000\n1390675918\t17.620000\n1390676519\t17.690000\n1390677119\t17.690000\n1390677720\t17.620000\n1390678320\t17.560000\n1390678921\t17.560000\n1390679522\t17.560000\n1390680122\t17.620000\n1390680723\t17.690000\n1390681323\t17.560000\n1390681924\t17.620000\n1390682524\t17.620000\n1390683125\t17.620000\n1390683725\t17.620000\n1390684326\t17.560000\n1390684926\t17.500000\n1390685527\t17.620000\n1390686128\t17.620000\n1390686728\t17.620000\n1390687329\t17.620000\n1390687929\t17.620000\n1390688530\t17.620000\n1390689130\t17.620000\n1390689746\t17.690000\n1390690346\t17.560000\n1390690947\t17.690000\n1390691547\t17.690000\n1390692148\t17.620000\n1390692748\t17.690000\n1390693349\t17.620000\n1390693949\t17.690000\n1390694550\t17.690000\n1390695151\t17.690000\n1390695751\t17.750000\n1390696352\t17.690000\n1390696952\t17.690000\n1390697553\t17.690000\n1390698153\t17.690000\n1390698754\t17.620000\n1390699354\t17.690000\n1390699955\t17.690000\n1390700555\t17.690000\n1390701156\t17.750000\n1390701757\t17.750000\n1390702357\t17.750000\n1390702958\t17.750000\n1390703558\t17.750000\n1390704159\t17.750000\n1390704759\t17.810000\n1390705360\t17.880000\n1390705960\t17.880000\n1390706561\t17.880000\n1390707162\t17.940000\n1390707762\t17.810000\n1390708363\t17.810000\n1390708978\t17.810000\n1390709579\t17.810000\n1390710179\t17.810000\n1390710780\t17.810000\n1390711380\t17.810000\n1390711981\t17.810000\n1390712582\t17.750000\n1390713182\t17.810000\n1390713783\t17.810000\n1390714383\t17.880000\n1390714984\t17.880000\n1390715584\t17.940000\n1390716185\t17.940000\n1390716785\t17.880000\n1390717386\t17.880000\n1390717987\t17.810000\n1390718587\t17.880000\n1390719188\t17.810000\n1390719788\t17.810000\n1390720389\t17.880000\n1390720989\t17.810000\n1390721590\t17.810000\n1390722190\t17.880000\n1390722791\t17.880000\n1390723392\t17.810000\n1390723992\t17.880000\n1390724593\t17.940000\n1390725193\t17.940000\n1390725794\t17.880000\n1390726394\t17.810000\n1390727010\t17.880000\n1390727610\t17.810000\n1390728211\t17.880000\n1390728811\t17.880000\n1390729412\t17.880000\n1390730013\t17.880000\n1390730613\t17.880000\n1390731214\t17.880000\n1390731814\t17.940000\n1390732415\t17.880000\n1390733015\t17.880000\n1390733616\t17.880000\n1390734216\t17.880000\n1390734817\t17.940000\n1390735417\t18.060000\n1390736018\t17.940000\n1390736619\t18.000000\n1390737219\t17.940000\n1390737820\t17.880000\n1390738420\t17.880000\n1390739021\t17.940000\n1390739621\t17.880000\n1390740222\t17.940000\n1390740823\t17.940000\n1390741423\t17.940000\n1390742024\t18.000000\n1390742624\t18.000000\n1390743225\t18.060000\n1390743840\t17.940000\n1390744441\t18.000000\n1390745041\t17.940000\n1390745642\t18.000000\n1390746242\t18.000000\n1390746843\t17.940000\n1390747443\t17.940000\n1390748044\t17.940000\n1390748644\t17.940000\n1390749245\t18.000000\n1390749846\t17.880000\n1390750446\t17.880000\n1390751047\t17.940000\n1390751647\t17.810000\n1390752248\t17.810000\n1390752848\t17.750000\n1390753449\t17.750000\n1390754049\t17.690000\n1390754650\t17.690000\n1390755251\t17.690000\n1390755851\t17.620000\n1390756452\t17.690000\n1390757052\t17.620000\n1390757653\t17.560000\n1390758253\t17.560000\n1390758854\t17.620000\n1390759454\t17.500000\n1390760055\t17.440000\n1390760655\t17.500000\n1390761256\t17.440000\n1390761857\t17.380000\n1390762457\t17.380000\n1390763073\t17.310000\n1390763673\t17.310000\n1390764274\t17.310000\n1390764874\t17.380000\n1390765475\t17.500000\n1390766075\t17.440000\n1390766676\t17.380000\n1390767276\t17.380000\n1390767877\t17.310000\n1390768478\t17.310000\n1390769078\t17.310000\n1390769679\t17.310000\n1390770279\t17.380000\n1390770880\t17.310000\n1390771480\t17.310000\n1390772081\t17.310000\n1390772681\t17.310000\n1390773282\t17.310000\n1390773882\t17.250000\n1390774483\t17.250000\n1390775083\t17.190000\n1390775684\t17.120000\n1390776284\t17.060000\n1390776885\t16.940000\n1390777486\t16.880000\n1390778086\t16.940000\n1390778687\t16.940000\n1390779287\t16.880000\n1390779888\t16.880000\n1390780488\t16.880000\n1390781089\t16.880000\n1390781704\t16.810000\n1390782305\t16.880000\n1390782905\t16.940000\n1390783506\t16.940000\n1390784107\t17.000000\n1390784707\t17.000000\n1390785308\t17.060000\n1390785908\t17.060000\n1390786509\t17.060000\n1390787109\t17.060000\n1390787710\t17.060000\n1390788310\t17.060000\n1390788911\t17.060000\n1390789512\t17.120000\n1390790112\t17.060000\n1390790713\t17.120000\n1390791313\t17.120000\n1390791914\t17.120000\n1390792514\t17.190000\n1390793115\t17.190000\n1390793715\t17.190000\n1390794316\t17.120000\n1390794916\t17.250000\n1390795517\t17.250000\n1390796117\t17.310000\n1390796718\t17.190000\n1390797319\t17.120000\n1390797919\t17.120000\n1390798520\t17.120000\n1390799120\t17.060000\n1390799721\t17.060000\n1390800321\t17.060000\n1390800937\t17.060000\n1390801537\t17.190000\n1390802138\t17.190000\n1390802739\t17.120000\n1390803339\t17.060000\n1390803940\t17.060000\n1390804540\t17.060000\n1390805141\t17.060000\n1390805741\t17.060000\n1390806342\t17.000000\n1390806942\t17.000000\n1390807543\t17.060000\n1390808143\t17.060000\n1390808744\t17.060000\n1390809344\t17.060000\n1390809945\t17.120000\n1390810546\t17.120000\n1390811146\t17.120000\n1390811747\t17.120000\n1390812347\t17.190000\n1390812948\t17.190000\n1390813548\t17.190000\n1390814149\t17.190000\n1390814749\t17.190000\n1390815350\t17.250000\n1390815951\t17.250000\n1390816551\t17.190000\n1390817152\t17.190000\n1390817752\t17.250000\n1390818353\t17.250000\n1390818953\t17.250000\n1390819554\t17.250000\n1390820169\t17.250000\n1390820770\t17.310000\n1390821370\t17.310000\n1390821971\t17.380000\n1390822571\t17.310000\n1390823172\t17.310000\n1390823773\t17.310000\n1390824373\t17.440000\n1390824974\t17.500000\n1390825574\t17.500000\n1390826175\t17.440000\n1390826775\t17.310000\n1390827376\t17.380000\n1390827976\t17.310000\n1390828577\t17.310000\n1390829177\t17.250000\n1390829778\t17.310000\n1390830379\t17.310000\n1390830979\t17.310000\n1390831580\t17.310000\n1390832180\t17.310000\n1390832781\t17.310000\n1390833381\t17.310000\n1390833982\t17.310000\n1390834582\t17.310000\n1390835183\t17.310000\n1390835783\t17.380000\n1390836384\t17.310000\n1390836984\t17.310000\n1390837585\t17.310000\n1390838186\t17.380000\n1390838786\t17.380000\n1390839402\t17.310000\n1390840002\t17.380000\n1390840603\t17.380000\n1390841203\t17.440000\n1390841804\t17.440000\n1390842404\t17.440000\n1390843005\t17.500000\n1390843605\t17.500000\n1390844206\t17.500000\n1390844806\t17.500000\n1390845407\t17.560000\n1390846008\t17.500000\n1390846608\t17.440000\n1390847209\t17.440000\n1390847809\t17.440000\n1390848410\t17.500000\n1390849010\t17.440000\n1390849611\t17.560000\n1390850211\t17.500000\n1390850812\t17.440000\n1390851412\t17.440000\n1390852013\t17.500000\n1390852614\t17.440000\n1390853214\t17.440000\n1390853815\t17.440000\n1390854415\t17.500000\n1390855016\t17.560000\n1390855616\t17.560000\n1390856217\t17.380000\n1390856817\t17.500000\n1390857433\t17.440000\n1390858033\t17.380000\n1390858634\t17.440000\n1390859234\t17.440000\n1390859835\t17.380000\n1390860436\t17.380000\n1390861036\t17.440000\n1390861637\t17.440000\n1390862237\t17.500000\n1390862838\t17.500000\n1390863438\t17.500000\n1390864039\t17.500000\n1390864639\t17.500000\n1390865240\t17.500000\n1390865840\t17.500000\n1390866441\t17.440000\n1390867041\t17.440000\n1390867642\t17.500000\n1390868242\t17.500000\n1390868843\t17.560000\n1390869443\t17.560000\n1390870044\t17.620000\n1390870645\t17.620000\n1390871245\t17.620000\n1390871846\t17.620000\n1390872446\t17.690000\n1390873047\t17.690000\n1390873647\t17.750000\n1390874248\t17.690000\n1390874848\t17.690000\n1390875464\t17.690000\n1390876064\t17.750000\n1390876665\t17.750000\n1390877265\t17.750000\n1390877866\t17.750000\n1390878467\t17.690000\n1390879067\t17.750000\n1390879668\t17.690000\n1390880268\t17.690000\n1390880869\t17.690000\n1390881469\t17.750000\n1390882070\t17.750000\n1390882670\t17.690000\n1390883271\t17.750000\n1390883871\t17.940000\n1390884472\t17.940000\n1390885072\t17.940000\n1390885673\t17.880000\n1390886274\t17.810000\n1390886874\t17.750000\n1390887475\t17.750000\n1390888075\t17.690000\n1390888676\t17.810000\n1390889276\t17.810000\n1390889877\t17.750000\n1390890477\t17.810000\n1390891078\t17.750000\n1390891678\t17.750000\n1390892279\t17.750000\n1390892880\t17.810000\n1390893480\t17.750000\n1390894081\t17.810000\n1390894696\t17.880000\n1390895297\t17.880000\n1390895897\t17.940000\n1390896498\t17.940000\n1390897098\t17.880000\n1390897699\t17.880000\n1390898299\t17.940000\n1390898900\t17.940000\n1390899501\t18.000000\n1390900101\t17.940000\n1390900702\t18.060000\n1390901302\t18.060000\n1390901903\t18.060000\n1390902503\t18.060000\n1390903104\t18.060000\n1390903704\t18.060000\n1390904305\t18.060000\n1390904906\t18.000000\n1390905506\t18.120000\n1390906107\t18.190000\n1390906707\t18.120000\n1390907308\t18.060000\n1390907908\t18.120000\n1390908509\t18.120000\n1390909109\t18.120000\n1390909710\t18.060000\n1390910310\t18.120000\n1390910911\t18.120000\n1390911511\t18.060000\n1390912112\t18.120000\n1390912727\t17.690000\n1390913328\t17.560000\n1390913929\t17.750000\n1390914529\t17.690000\n1390915130\t17.690000\n1390915730\t17.620000\n1390916331\t17.690000\n1390916931\t15.880000\n1390917532\t16.310000\n1390918132\t16.750000\n1390918733\t16.940000\n1390919334\t17.120000\n1390919934\t17.120000\n1390920535\t17.250000\n1390921135\t17.190000\n1390921736\t17.190000\n1390922336\t17.190000\n1390922937\t17.250000\n1390923537\t17.190000\n1390924138\t17.190000\n1390924739\t17.310000\n1390925339\t17.310000\n1390925940\t17.380000\n1390926540\t17.250000\n1390927141\t17.310000\n1390927741\t17.310000\n1390928342\t17.310000\n1390928942\t17.310000\n1390929543\t17.380000\n1390930143\t17.310000\n1390930759\t17.250000\n1390931359\t17.310000\n1390931960\t17.380000\n1390932561\t17.310000\n1390933161\t17.380000\n1390933762\t16.620000\n1390934362\t17.000000\n1390934963\t17.060000\n1390935563\t17.120000\n1390936164\t17.120000\n1390936764\t17.000000\n1390937365\t16.880000\n1390937965\t16.940000\n1390938566\t17.060000\n1390939167\t17.060000\n1390939767\t17.000000\n1390940368\t16.940000\n1390940968\t17.000000\n1390941569\t17.000000\n1390942169\t17.000000\n1390942770\t17.000000\n1390943370\t17.060000\n1390943971\t17.060000\n1390944571\t17.000000\n1390945172\t17.000000\n1390945772\t16.810000\n1390946373\t16.810000\n1390946974\t16.750000\n1390947574\t16.690000\n1390948175\t16.690000\n1390948775\t16.750000\n1390949376\t16.750000\n1390949976\t16.750000\n1390950592\t16.750000\n1390951192\t16.690000\n1390951793\t16.750000\n1390952393\t16.750000\n1390952994\t16.690000\n1390953595\t16.690000\n1390954195\t16.690000\n1390954796\t16.620000\n1390955396\t16.500000\n1390955997\t16.500000\n1390956597\t16.380000\n1390957198\t16.310000\n1390957798\t16.380000\n1390958399\t16.500000\n1390958999\t16.440000\n1390959600\t16.500000\n1390960200\t16.500000\n1390960801\t16.560000\n1390961401\t16.440000\n1390962002\t16.500000\n1390962603\t16.560000\n1390963203\t16.560000\n1390963804\t16.500000\n1390964404\t16.500000\n1390965005\t16.500000\n1390965605\t16.500000\n1390966206\t16.500000\n1390966806\t16.500000\n1390967407\t16.440000\n1390968007\t16.500000\n1390968608\t16.440000\n1390969209\t16.380000\n1390969824\t16.310000\n1390970425\t16.250000\n1390971025\t16.250000\n1390971626\t16.380000\n1390972226\t16.440000\n1390972827\t16.500000\n1390973427\t16.380000\n1390974028\t16.310000\n1390974629\t16.380000\n1390975229\t16.190000\n1390975830\t16.060000\n1390976430\t16.060000\n1390977031\t16.120000\n1390977631\t16.250000\n1390978232\t16.310000\n1390978832\t16.380000\n1390979433\t16.310000\n1390980033\t16.380000\n1390980634\t16.380000\n1390981234\t16.380000\n1390981835\t16.440000\n1390982435\t16.310000\n1390983036\t16.380000\n1390983637\t16.380000\n1390984237\t16.440000\n1390984838\t16.440000\n1390985438\t16.310000\n1390986039\t15.620000\n1390986639\t15.810000\n1390987240\t15.880000\n1390987840\t15.880000\n1390988456\t16.000000\n1390989056\t16.000000\n1390989657\t16.120000\n1390990258\t16.000000\n1390990858\t16.190000\n1390991459\t16.190000\n1390992059\t16.120000\n1390992660\t16.120000\n1390993260\t16.120000\n1390993861\t16.120000\n1390994461\t16.060000\n1390995062\t16.190000\n1390995662\t16.190000\n1390996263\t16.190000\n1390996863\t16.190000\n1390997464\t15.880000\n1390998064\t16.000000\n1390998665\t16.000000\n1390999265\t16.060000\n1390999866\t16.060000\n1391000466\t16.060000\n1391001067\t16.060000\n1391001667\t16.120000\n1391002268\t16.190000\n1391002869\t16.190000\n1391003469\t16.190000\n1391004070\t16.120000\n1391004670\t16.310000\n1391005286\t16.250000\n1391005886\t16.310000\n1391006487\t16.250000\n1391007087\t16.250000\n1391007688\t16.190000\n1391008289\t16.120000\n1391008889\t16.060000\n1391009490\t16.000000\n1391010090\t15.880000\n1391010691\t15.750000\n1391011291\t15.690000\n1391011892\t15.560000\n1391012492\t15.500000\n1391013093\t15.440000\n1391013693\t15.440000\n1391014294\t15.310000\n1391014894\t15.190000\n1391015495\t15.190000\n1391016096\t15.190000\n1391016696\t15.120000\n1391017297\t15.120000\n1391017897\t15.120000\n1391018498\t15.120000\n1391019098\t15.190000\n1391019699\t15.060000\n1391020299\t15.120000\n1391020900\t15.120000\n1391021500\t15.060000\n1391022101\t15.060000\n1391022717\t15.000000\n1391023317\t14.940000\n1391023918\t14.940000\n1391024518\t14.940000\n1391025119\t15.000000\n1391025719\t14.940000\n1391026320\t14.940000\n1391026920\t15.000000\n1391027521\t14.940000\n1391028121\t15.000000\n1391028722\t15.120000\n1391029322\t15.190000\n1391029923\t15.310000\n1391030523\t15.310000\n1391031124\t15.380000\n1391031725\t15.440000\n1391032325\t15.500000\n1391032926\t15.560000\n1391033526\t15.620000\n1391034127\t15.690000\n1391034727\t15.620000\n1391035328\t15.620000\n1391035928\t15.690000\n1391036529\t15.690000\n1391037129\t15.690000\n1391037730\t15.810000\n1391038330\t15.880000\n1391038931\t15.750000\n1391039532\t15.810000\n1391040132\t15.880000\n1391040733\t15.880000\n1391041333\t15.940000\n1391041934\t15.940000\n1391042534\t16.060000\n1391043150\t16.060000\n1391043750\t16.060000\n1391044351\t16.120000\n1391044952\t16.120000\n1391045552\t16.250000\n1391046153\t16.310000\n1391046753\t16.310000\n1391047354\t16.310000\n1391047954\t16.310000\n1391048555\t16.380000\n1391049155\t16.380000\n1391049756\t16.440000\n1391050357\t16.380000\n1391050957\t16.380000\n1391051558\t16.380000\n1391052158\t16.440000\n1391052759\t16.440000\n1391053360\t16.380000\n1391053960\t16.380000\n1391054561\t16.440000\n1391055161\t16.310000\n1391055762\t16.440000\n1391056362\t16.310000\n1391056963\t16.310000\n1391057563\t16.310000\n1391058164\t16.250000\n1391058764\t16.250000\n1391059365\t16.250000\n1391059965\t16.250000\n1391060566\t16.250000\n1391061167\t16.250000\n1391061767\t16.310000\n1391062368\t16.190000\n1391062968\t16.250000\n1391063569\t16.190000\n1391064169\t16.190000\n1391064770\t16.190000\n1391065385\t16.250000\n1391065986\t16.250000\n1391066587\t16.250000\n1391067187\t16.190000\n1391067788\t16.190000\n1391068388\t16.190000\n1391068989\t16.190000\n1391069589\t16.190000\n1391070190\t16.120000\n1391070790\t16.120000\n1391071391\t16.120000\n1391071991\t16.190000\n1391072592\t16.120000\n1391073192\t16.250000\n1391073793\t16.120000\n1391074394\t16.190000\n1391074994\t16.190000\n1391075595\t16.190000\n1391076195\t16.120000\n1391076796\t16.120000\n1391077396\t16.190000\n1391077997\t16.120000\n1391078597\t16.120000\n1391079198\t16.120000\n1391079798\t16.190000\n1391080399\t16.190000\n1391080999\t16.190000\n1391081600\t16.250000\n1391082201\t16.250000\n1391082801\t16.250000\n1391083402\t16.310000\n1391084002\t16.250000\n1391084603\t16.190000\n1391085203\t16.250000\n1391085819\t16.250000\n1391086419\t16.190000\n1391087020\t16.250000\n1391087621\t16.250000\n1391088221\t16.250000\n1391088822\t16.310000\n1391089422\t16.310000\n1391090023\t16.310000\n1391090623\t16.380000\n1391091224\t16.380000\n1391091824\t16.500000\n1391092425\t16.440000\n1391093025\t16.500000\n1391093626\t16.440000\n1391094226\t16.440000\n1391094827\t16.380000\n1391095427\t16.380000\n1391096028\t16.310000\n1391096629\t16.310000\n1391097229\t16.440000\n1391097830\t16.440000\n1391098430\t16.440000\n1391099031\t16.500000\n1391099631\t16.500000\n1391100232\t16.440000\n1391100832\t16.500000\n1391101433\t16.440000\n1391102033\t16.560000\n1391102634\t16.560000\n1391103234\t16.560000\n1391103835\t16.560000\n1391104451\t16.440000\n1391105051\t16.440000\n1391105652\t16.380000\n1391106252\t16.440000\n1391106853\t16.440000\n1391107453\t16.440000\n1391108054\t16.440000\n1391108654\t16.380000\n1391109255\t16.440000\n1391109855\t16.440000\n1391110456\t16.500000\n1391111056\t16.500000\n1391111657\t16.440000\n1391112257\t16.440000\n1391112858\t16.440000\n1391113459\t16.500000\n1391114059\t16.500000\n1391114660\t16.500000\n1391115260\t16.440000\n1391115861\t16.500000\n1391116461\t16.560000\n1391117062\t16.560000\n1391117662\t16.560000\n1391118263\t16.560000\n1391118863\t16.500000\n1391119464\t16.560000\n1391120064\t16.560000\n1391120665\t16.560000\n1391121265\t16.690000\n1391121866\t16.690000\n1391122466\t16.690000\n1391123067\t16.620000\n1391123683\t16.560000\n1391124283\t16.620000\n1391124884\t16.620000\n1391125484\t16.690000\n1391126085\t16.620000\n1391126685\t16.620000\n1391127286\t16.750000\n1391127886\t16.690000\n1391128487\t16.620000\n1391129087\t16.750000\n1391129688\t16.690000\n1391130289\t16.690000\n1391130889\t16.750000\n1391131490\t16.690000\n1391132090\t16.750000\n1391132691\t16.750000\n1391133291\t16.750000\n1391133892\t16.690000\n1391134492\t16.810000\n1391135093\t16.810000\n1391135693\t16.810000\n1391136294\t16.810000\n1391136894\t16.880000\n1391137495\t16.880000\n1391138096\t16.940000\n1391138696\t16.940000\n1391139297\t16.880000\n1391139897\t16.940000\n1391140498\t16.940000\n1391141098\t16.940000\n1391141714\t16.940000\n1391142314\t17.000000\n1391142915\t16.940000\n1391143515\t16.940000\n1391144116\t16.940000\n1391144716\t17.000000\n1391145317\t17.000000\n1391145918\t17.060000\n1391146518\t17.000000\n1391147119\t17.120000\n1391147719\t17.060000\n1391148320\t17.060000\n1391148920\t17.060000\n1391149521\t17.060000\n1391150121\t17.060000\n1391150722\t17.120000\n1391151323\t17.250000\n1391151923\t17.190000\n1391152524\t17.250000\n1391153124\t17.060000\n1391153725\t17.120000\n1391154325\t17.120000\n1391154926\t17.120000\n1391155526\t17.190000\n1391156126\t17.060000\n1391156727\t17.060000\n1391157328\t17.190000\n1391157928\t17.120000\n1391158529\t17.190000\n1391159129\t17.060000\n1391159745\t17.120000\n1391160345\t17.190000\n1391160946\t17.190000\n1391161546\t17.190000\n1391162147\t17.120000\n1391162747\t17.120000\n1391163348\t17.190000\n1391163948\t16.620000\n1391164549\t16.880000\n1391165149\t16.880000\n1391165750\t16.940000\n1391166351\t16.940000\n1391166951\t16.880000\n1391167552\t16.940000\n1391168152\t16.940000\n1391168753\t17.000000\n1391169353\t16.940000\n1391169954\t16.940000\n1391170554\t16.880000\n1391171155\t16.810000\n1391171755\t16.940000\n1391172356\t16.810000\n1391172957\t16.880000\n1391173557\t16.880000\n1391174157\t16.880000\n1391174758\t16.750000\n1391175358\t16.810000\n1391175959\t16.750000\n1391176559\t16.750000\n1391177160\t16.750000\n1391177760\t16.810000\n1391178376\t16.750000\n1391178976\t16.750000\n1391179577\t16.690000\n1391180177\t16.750000\n1391180778\t16.880000\n1391181379\t16.810000\n1391181979\t16.880000\n1391182580\t16.810000\n1391183180\t16.810000\n1391183781\t16.690000\n1391184381\t16.750000\n1391184982\t16.810000\n1391185583\t16.690000\n1391186183\t16.620000\n1391186784\t16.560000\n1391187384\t16.500000\n1391187985\t16.440000\n1391188585\t16.440000\n1391189186\t16.380000\n1391189786\t16.380000\n1391190387\t16.440000\n1391190987\t16.310000\n1391191588\t16.250000\n1391192188\t16.380000\n1391192789\t16.380000\n1391193390\t16.440000\n1391193990\t16.440000\n1391194591\t16.440000\n1391195191\t16.440000\n1391195792\t16.440000\n1391196407\t16.380000\n1391197008\t16.380000\n1391197608\t16.310000\n1391198209\t16.250000\n1391198809\t16.310000\n1391199410\t16.190000\n1391200011\t16.250000\n1391200611\t16.190000\n1391201211\t16.190000\n1391201812\t16.250000\n1391202412\t16.250000\n1391203013\t16.310000\n1391203613\t16.310000\n1391204214\t16.380000\n1391204814\t16.380000\n1391205415\t16.310000\n1391206015\t16.380000\n1391206616\t16.310000\n1391207217\t16.310000\n1391207817\t16.310000\n1391208418\t16.310000\n1391209018\t16.380000\n1391209619\t16.440000\n1391210219\t16.500000\n1391210820\t16.620000\n1391211420\t16.620000\n1391212021\t16.620000\n1391212621\t16.560000\n1391213237\t16.620000\n1391213837\t16.620000\n1391214438\t16.690000\n1391215038\t16.690000\n1391215639\t16.810000\n1391216239\t16.810000\n1391216840\t16.880000\n1391217440\t16.940000\n1391218041\t16.940000\n1391218641\t16.940000\n1391219242\t17.000000\n1391219842\t17.060000\n1391220443\t17.060000\n1391221044\t17.120000\n1391221644\t17.120000\n1391222245\t17.120000\n1391222845\t17.120000\n1391223446\t17.190000\n1391224046\t17.190000\n1391224647\t17.190000\n1391225247\t17.190000\n1391225848\t17.250000\n1391226448\t17.250000\n1391227049\t17.380000\n1391227649\t17.250000\n1391228250\t17.250000\n1391228851\t17.310000\n1391229451\t17.310000\n1391230052\t17.250000\n1391230652\t17.310000\n1391231268\t17.310000\n1391231868\t17.310000\n1391232469\t17.310000\n1391233069\t17.440000\n1391233670\t17.440000\n1391234270\t17.440000\n1391234871\t17.440000\n1391235472\t17.440000\n1391236072\t17.500000\n1391236673\t17.380000\n1391237273\t17.440000\n1391237874\t17.440000\n1391238474\t17.500000\n1391239075\t17.380000\n1391239675\t17.440000\n1391240276\t17.500000\n1391240877\t17.500000\n1391241477\t17.500000\n1391242078\t17.500000\n1391242678\t17.500000\n1391243279\t17.500000\n1391243879\t17.500000\n1391244480\t17.500000\n1391245080\t17.560000\n1391245681\t17.560000\n1391246281\t17.380000\n1391246882\t17.440000\n1391247483\t17.500000\n1391248083\t17.560000\n1391248684\t17.500000\n1391249284\t17.500000\n1391249900\t17.560000\n1391250500\t17.560000\n1391251101\t17.560000\n1391251701\t17.620000\n1391252302\t17.620000\n1391252902\t17.560000\n1391253503\t17.690000\n1391254104\t17.620000\n1391254704\t17.620000\n1391255305\t17.560000\n1391255905\t17.560000\n1391256506\t17.560000\n1391257106\t17.500000\n1391257707\t17.560000\n1391258307\t17.560000\n1391258908\t17.690000\n1391259509\t17.620000\n1391260109\t17.620000\n1391260710\t17.620000\n1391261310\t17.620000\n1391261911\t17.750000\n1391262511\t17.690000\n1391263112\t17.690000\n1391263712\t17.750000\n1391264313\t17.690000\n1391264914\t17.690000\n1391265514\t17.690000\n1391266115\t17.620000\n1391266715\t17.690000\n1391267315\t17.690000\n1391267916\t17.690000\n1391268517\t17.690000\n1391269132\t17.690000\n1391269733\t17.810000\n1391270333\t17.880000\n1391270934\t17.880000\n1391271534\t17.690000\n1391272135\t17.750000\n1391272735\t17.750000\n1391273336\t17.750000\n1391273936\t17.750000\n1391274537\t17.690000\n1391275137\t17.750000\n1391275738\t17.810000\n1391276338\t17.810000\n1391276939\t17.690000\n1391277540\t17.810000\n1391278140\t17.810000\n1391278741\t17.880000\n1391279341\t17.880000\n1391279942\t17.940000\n1391280542\t18.000000\n1391281143\t17.940000\n1391281743\t17.940000\n1391282344\t18.000000\n1391282944\t18.000000\n1391283545\t18.000000\n1391284146\t17.940000\n1391284746\t17.880000\n1391285347\t17.810000\n1391285947\t17.750000\n1391286548\t17.750000\n1391287148\t17.750000\n1391287749\t17.620000\n1391288364\t17.620000\n1391288965\t17.620000\n1391289566\t17.620000\n1391290166\t17.560000\n1391290767\t17.560000\n1391291367\t17.620000\n1391291968\t17.560000\n1391292568\t17.560000\n1391293169\t17.500000\n1391293769\t17.250000\n1391294370\t17.560000\n1391294971\t17.750000\n1391295571\t17.750000\n1391296172\t17.880000\n1391296772\t17.940000\n1391297373\t17.940000\n1391297973\t18.000000\n1391298574\t18.000000\n1391299174\t18.000000\n1391299775\t18.060000\n1391300375\t18.060000\n1391300976\t18.120000\n1391301576\t18.120000\n1391302177\t18.190000\n1391302777\t18.190000\n1391303378\t18.250000\n1391303978\t18.250000\n1391304579\t18.190000\n1391305180\t18.250000\n1391305780\t18.250000\n1391306381\t18.310000\n1391306996\t18.380000\n1391307597\t18.310000\n1391308197\t18.380000\n1391308798\t18.380000\n1391309398\t18.440000\n1391309999\t18.440000\n1391310599\t18.440000\n1391311200\t18.500000\n1391311800\t18.500000\n1391312401\t18.440000\n1391313002\t18.500000\n1391313602\t18.500000\n1391314203\t18.500000\n1391314803\t18.440000\n1391315404\t18.500000\n1391316004\t18.500000\n1391316605\t18.560000\n1391317205\t18.560000\n1391317806\t18.560000\n1391318406\t18.560000\n1391319007\t18.690000\n1391319608\t18.690000\n1391320208\t18.690000\n1391320809\t18.620000\n1391321409\t18.620000\n1391322010\t18.620000\n1391322610\t18.620000\n1391323211\t18.690000\n1391323811\t18.690000\n1391324412\t18.750000\n1391325027\t18.810000\n1391325628\t18.880000\n1391326229\t18.750000\n1391326829\t18.690000\n1391327430\t18.750000\n1391328030\t18.690000\n1391328631\t18.690000\n1391329231\t18.750000\n1391329832\t18.750000\n1391330432\t18.750000\n1391331033\t18.810000\n1391331633\t18.750000\n1391332234\t18.880000\n1391332834\t18.810000\n1391333435\t18.880000\n1391334036\t18.880000\n1391334636\t18.880000\n1391335237\t18.880000\n1391335837\t18.880000\n1391336438\t18.880000\n1391337038\t18.940000\n1391337639\t18.940000\n1391338239\t18.880000\n1391338840\t18.940000\n1391339441\t18.940000\n1391340041\t19.000000\n1391340642\t19.060000\n1391341242\t19.000000\n1391341843\t18.940000\n1391342443\t19.000000\n1391343044\t19.060000\n1391343659\t19.060000\n1391344260\t19.060000\n1391344860\t19.060000\n1391345461\t19.120000\n1391346062\t19.060000\n1391346662\t19.120000\n1391347263\t19.120000\n1391347863\t19.120000\n1391348464\t19.190000\n1391349064\t19.120000\n1391349665\t19.120000\n1391350265\t19.120000\n1391350866\t19.120000\n1391351467\t19.120000\n1391352067\t19.120000\n1391352668\t19.120000\n1391353268\t19.060000\n1391353869\t19.060000\n1391354469\t19.060000\n1391355070\t19.120000\n1391355670\t19.250000\n1391356271\t19.190000\n1391356871\t19.120000\n1391357472\t19.190000\n1391358072\t19.190000\n1391358673\t19.190000\n1391359273\t19.120000\n1391359874\t19.060000\n1391360475\t19.060000\n1391361075\t19.120000\n1391361691\t19.190000\n1391362291\t19.120000\n1391362892\t19.060000\n1391363492\t19.060000\n1391364093\t19.060000\n1391364693\t19.060000\n1391365294\t19.060000\n1391365894\t19.000000\n1391366495\t19.000000\n1391367096\t18.940000\n1391367696\t18.880000\n1391368297\t18.750000\n1391368897\t18.620000\n1391369498\t18.310000\n1391370098\t18.380000\n1391370699\t18.440000\n1391371299\t18.380000\n1391371900\t18.310000\n1391372500\t18.380000\n1391373101\t18.310000\n1391373701\t18.440000\n1391374302\t18.500000\n1391374903\t18.620000\n1391375503\t18.690000\n1391376104\t18.810000\n1391376704\t18.880000\n1391377305\t19.000000\n1391377905\t19.060000\n1391378506\t19.060000\n1391379106\t19.120000\n1391379707\t19.120000\n1391380322\t19.120000\n1391380923\t19.120000\n1391381523\t19.190000\n1391382124\t19.250000\n1391382725\t19.190000\n1391383325\t19.250000\n1391383926\t19.250000\n1391384526\t19.310000\n1391385127\t19.380000\n1391385727\t19.250000\n1391386328\t19.250000\n1391386928\t19.310000\n1391387529\t19.250000\n1391388129\t19.310000\n1391388730\t19.250000\n1391389330\t19.380000\n1391389931\t19.310000\n1391390532\t19.380000\n1391391132\t19.440000\n1391391733\t19.440000\n1391392333\t19.310000\n1391392934\t19.310000\n1391393534\t19.380000\n1391394135\t19.440000\n1391394735\t19.380000\n1391395336\t19.440000\n1391395936\t19.500000\n1391396537\t19.500000\n1391397138\t19.500000\n1391397738\t19.560000\n1391398339\t19.500000\n1391398939\t19.500000\n1391399555\t19.500000\n1391400155\t19.500000\n1391400756\t19.500000\n1391401356\t19.440000\n1391401957\t19.560000\n1391402557\t19.620000\n1391403158\t19.560000\n1391403759\t19.620000\n1391404359\t19.620000\n1391404960\t19.560000\n1391405560\t19.560000\n1391406161\t19.620000\n1391406761\t19.750000\n1391407362\t19.620000\n1391407962\t19.560000\n1391408563\t19.560000\n1391409164\t19.560000\n1391409764\t19.620000\n1391410365\t19.620000\n1391410965\t19.620000\n1391411566\t19.690000\n1391412166\t19.620000\n1391412767\t19.690000\n1391413367\t19.750000\n1391413968\t19.810000\n1391414568\t19.810000\n1391415169\t19.810000\n1391415770\t19.750000\n1391416370\t19.810000\n1391416971\t19.810000\n1391417571\t19.750000\n1391418172\t19.750000\n1391418787\t19.810000\n1391419388\t19.810000\n1391419988\t19.880000\n1391420589\t19.810000\n1391421190\t19.810000\n1391421790\t19.880000\n1391422391\t19.880000\n1391422991\t19.940000\n1391423592\t19.880000\n1391424192\t19.940000\n1391424793\t19.940000\n1391425393\t19.880000\n1391425994\t19.940000\n1391426594\t19.940000\n1391427195\t19.940000\n1391427795\t19.940000\n1391428396\t19.940000\n1391428996\t19.940000\n1391429597\t19.940000\n1391430198\t20.060000\n1391430798\t20.060000\n1391431399\t20.120000\n1391431999\t20.060000\n1391432600\t20.060000\n1391433200\t20.060000\n1391433801\t20.120000\n1391434401\t20.000000\n1391435002\t20.060000\n1391435602\t20.060000\n1391436203\t20.120000\n1391436803\t20.120000\n1391437404\t20.120000\n1391438020\t20.120000\n1391438620\t20.120000\n1391439221\t20.060000\n1391439821\t20.060000\n1391440422\t20.120000\n1391441022\t20.120000\n1391441623\t20.120000\n1391442223\t20.120000\n1391442824\t20.120000\n1391443424\t20.060000\n1391444025\t20.000000\n1391444626\t20.120000\n1391445226\t20.120000\n1391445827\t20.190000\n1391446427\t20.190000\n1391447028\t20.190000\n1391447628\t20.120000\n1391448229\t20.190000\n1391448829\t20.190000\n1391449430\t20.190000\n1391450030\t20.190000\n1391450631\t20.190000\n1391451231\t20.250000\n1391451832\t20.190000\n1391452433\t20.250000\n1391453033\t20.190000\n1391453634\t20.190000\n1391454234\t20.250000\n1391454835\t20.190000\n1391455435\t20.250000\n1391456036\t20.190000\n1391456636\t20.250000\n1391457252\t20.190000\n1391457852\t20.250000\n1391458453\t20.250000\n1391459054\t20.250000\n1391459654\t20.310000\n1391460255\t20.250000\n1391460855\t20.310000\n1391461456\t20.250000\n1391462056\t20.250000\n1391462657\t20.250000\n1391463257\t20.310000\n1391463858\t20.310000\n1391464458\t20.310000\n1391465059\t20.250000\n1391465660\t20.250000\n1391466260\t20.310000\n1391466861\t20.250000\n1391467461\t20.310000\n1391468062\t20.310000\n1391468662\t20.380000\n1391469263\t20.310000\n1391469863\t20.380000\n1391470464\t20.310000\n1391471064\t20.310000\n1391471665\t20.310000\n1391472265\t20.310000\n1391472866\t20.310000\n1391473467\t20.190000\n1391474067\t20.190000\n1391474667\t20.250000\n1391475268\t20.250000\n1391475869\t20.190000\n1391476484\t20.190000\n1391477085\t20.190000\n1391477685\t20.120000\n1391478286\t20.120000\n1391478886\t20.120000\n1391479487\t20.190000\n1391480087\t20.120000\n1391480688\t20.120000\n1391481288\t20.190000\n1391481889\t20.190000\n1391482490\t20.120000\n1391483090\t20.120000\n1391483691\t20.060000\n1391484291\t20.120000\n1391484892\t20.120000\n1391485492\t20.060000\n1391486093\t20.060000\n1391486693\t20.060000\n1391487294\t20.060000\n1391487895\t20.060000\n1391488495\t20.060000\n1391489096\t20.190000\n1391489696\t20.060000\n1391490297\t20.060000\n1391490897\t20.060000\n1391491498\t20.120000\n1391492113\t20.060000\n1391492714\t20.060000\n1391493314\t20.060000\n1391493915\t20.120000\n1391494516\t20.120000\n1391495116\t20.120000\n1391495717\t20.120000\n1391496317\t20.060000\n1391496918\t20.120000\n1391497518\t20.120000\n1391498119\t20.190000\n1391498719\t20.120000\n1391499320\t20.120000\n1391499920\t20.120000\n1391500521\t20.190000\n1391501121\t20.120000\n1391501722\t20.190000\n1391502322\t20.120000\n1391502923\t20.250000\n1391503524\t20.250000\n1391504124\t20.190000\n1391504725\t20.120000\n1391505325\t20.190000\n1391505926\t20.190000\n1391506526\t20.190000\n1391507127\t20.120000\n1391507727\t20.190000\n1391508328\t20.250000\n1391508928\t20.250000\n1391509529\t20.250000\n1391510130\t20.380000\n1391510730\t20.310000\n1391511331\t20.310000\n1391511931\t20.310000\n1391512532\t20.310000\n1391513132\t20.310000\n1391513733\t20.310000\n1391514333\t20.310000\n1391514949\t20.380000\n1391515550\t20.380000\n1391516150\t20.380000\n1391516751\t20.380000\n1391517351\t20.190000\n1391517952\t20.120000\n1391518552\t20.250000\n1391519153\t20.190000\n1391519754\t20.190000\n1391520354\t20.310000\n1391520955\t20.310000\n1391521555\t20.310000\n1391522156\t20.380000\n1391522756\t20.310000\n1391523357\t20.380000\n1391523957\t20.310000\n1391524558\t20.380000\n1391525158\t20.380000\n1391525759\t20.440000\n1391526360\t20.440000\n1391526960\t20.440000\n1391527561\t20.440000\n1391528161\t20.440000\n1391528762\t20.440000\n1391529362\t20.500000\n1391529963\t20.620000\n1391530563\t20.560000\n1391531164\t20.560000\n1391531764\t20.560000\n1391532365\t20.560000\n1391532966\t20.500000\n1391533566\t20.440000\n1391534167\t20.500000\n1391534767\t20.500000\n1391535383\t20.440000\n1391535983\t20.560000\n1391536584\t20.500000\n1391537184\t20.440000\n1391537785\t19.940000\n1391538385\t20.380000\n1391538986\t20.500000\n1391539587\t20.560000\n1391540187\t20.620000\n1391540788\t20.620000\n1391541388\t20.690000\n1391541989\t20.690000\n1391542589\t20.750000\n1391543190\t20.690000\n1391543790\t20.750000\n1391544391\t20.750000\n1391544991\t20.750000\n1391545592\t20.750000\n1391546192\t20.750000\n1391546793\t20.750000\n1391547393\t20.750000\n1391547994\t20.750000\n1391548595\t20.750000\n1391549195\t20.810000\n1391549796\t20.750000\n1391550396\t20.750000\n1391550997\t20.750000\n1391551597\t20.810000\n1391552198\t20.810000\n1391552798\t20.750000\n1391553399\t20.810000\n1391554000\t20.810000\n1391554615\t20.880000\n1391555216\t20.810000\n1391555816\t20.880000\n1391556417\t20.940000\n1391557017\t20.880000\n1391557618\t20.810000\n1391558218\t20.810000\n1391558819\t20.810000\n1391559419\t20.810000\n1391560020\t20.810000\n1391560620\t20.880000\n1391561221\t20.880000\n1391561822\t20.880000\n1391562422\t20.940000\n1391563023\t20.880000\n1391563623\t20.940000\n1391564224\t20.880000\n1391564824\t20.880000\n1391565425\t20.880000\n1391566025\t20.880000\n1391566626\t20.880000\n1391567226\t20.810000\n1391567827\t20.880000\n1391568428\t20.880000\n1391569028\t20.880000\n1391569629\t20.940000\n1391570229\t20.880000\n1391570830\t20.940000\n1391571430\t20.880000\n1391572031\t20.940000\n1391572631\t20.940000\n1391573232\t20.880000\n1391573847\t20.880000\n1391574448\t20.880000\n1391575049\t20.940000\n1391575649\t20.940000\n1391576250\t20.940000\n1391576850\t20.940000\n1391577451\t20.940000\n1391578051\t20.880000\n1391578652\t21.000000\n1391579252\t20.940000\n1391579853\t20.940000\n1391580454\t20.940000\n1391581054\t20.940000\n1391581655\t20.940000\n1391582255\t20.940000\n1391582856\t20.940000\n1391583456\t20.940000\n1391584057\t21.000000\n1391584657\t20.940000\n1391585258\t20.940000\n1391585858\t20.940000\n1391586459\t20.940000\n1391587060\t20.940000\n1391587660\t20.940000\n1391588261\t20.940000\n1391588861\t20.940000\n1391589462\t20.940000\n1391590062\t20.940000\n1391590663\t20.940000\n1391591263\t20.940000\n1391591864\t21.000000\n1391592464\t21.000000\n1391593065\t21.000000\n1391593680\t21.060000\n1391594281\t21.000000\n1391594882\t21.000000\n1391595482\t21.000000\n1391596083\t21.000000\n1391596683\t21.000000\n1391597284\t20.940000\n1391597884\t21.000000\n1391598485\t20.940000\n1391599085\t21.000000\n1391599686\t21.000000\n1391600287\t21.060000\n1391600887\t21.000000\n1391601488\t21.000000\n1391602088\t21.000000\n1391602689\t20.940000\n1391603289\t21.000000\n1391603890\t21.000000\n1391604490\t21.000000\n1391605091\t20.940000\n1391605692\t21.000000\n1391606292\t20.940000\n1391606893\t21.190000\n1391607493\t21.440000\n1391608094\t21.620000\n1391608694\t21.750000\n1391609295\t21.810000\n1391609910\t21.880000\n1391610511\t21.940000\n1391611111\t22.060000\n1391611712\t22.060000\n1391612312\t22.120000\n1391612913\t22.120000\n1391613514\t22.190000\n1391614114\t22.190000\n1391614715\t22.190000\n1391615315\t22.250000\n1391615916\t22.190000\n1391616516\t22.250000\n1391617117\t22.310000\n1391617717\t22.310000\n1391618318\t22.310000\n1391618918\t22.310000\n1391619519\t22.250000\n1391620119\t22.250000\n1391620720\t22.250000\n1391621321\t22.380000\n1391621921\t22.380000\n1391622522\t22.310000\n1391623122\t22.380000\n1391623723\t22.380000\n1391624323\t22.380000\n1391624924\t22.380000\n1391625524\t22.440000\n1391626125\t22.440000\n1391626725\t22.380000\n1391627326\t22.380000\n1391627926\t22.380000\n1391628527\t22.380000\n1391629127\t22.440000\n1391629728\t22.380000\n1391630329\t22.440000\n1391630929\t22.380000\n1391631545\t22.380000\n1391632145\t22.440000\n1391632746\t22.500000\n1391633346\t22.440000\n1391633947\t22.380000\n1391634547\t22.440000\n1391635148\t22.440000\n1391635748\t22.440000\n1391636349\t22.380000\n1391636950\t22.310000\n1391637550\t22.380000\n1391638151\t22.440000\n1391638751\t22.440000\n1391639352\t22.380000\n1391639952\t22.500000\n1391640553\t22.440000\n1391641153\t22.440000\n1391641754\t22.440000\n1391642355\t22.500000\n1391642955\t22.500000\n1391643556\t22.500000\n1391644156\t22.440000\n1391644757\t22.500000\n1391645357\t22.440000\n1391645958\t22.440000\n1391646558\t22.440000\n1391647159\t22.440000\n1391647759\t22.440000\n1391648360\t22.500000\n1391648961\t22.440000\n1391649576\t22.500000\n1391650177\t22.560000\n1391650777\t22.620000\n1391651378\t22.690000\n1391651978\t22.690000\n1391652579\t22.690000\n1391653179\t22.620000\n1391653780\t22.560000\n1391654380\t22.690000\n1391654981\t22.620000\n1391655581\t22.620000\n1391656182\t22.560000\n1391656783\t22.560000\n1391657383\t22.560000\n1391657984\t22.560000\n1391658584\t22.620000\n1391659185\t22.560000\n1391659785\t22.500000\n1391660386\t22.620000\n1391660986\t22.500000\n1391661587\t22.500000\n1391662187\t22.560000\n1391662788\t22.500000\n1391663388\t22.560000\n1391663989\t22.620000\n1391664590\t22.620000\n1391665190\t22.690000\n1391665791\t22.620000\n1391666391\t22.620000\n1391667007\t22.620000\n1391667607\t22.560000\n1391668208\t22.620000\n1391668808\t22.620000\n1391669409\t22.690000\n1391670009\t22.620000\n1391670610\t22.620000\n1391671210\t22.620000\n1391671811\t22.690000\n1391672412\t22.620000\n1391673012\t22.620000\n1391673613\t22.620000\n1391674213\t22.750000\n1391674814\t22.690000\n1391675414\t22.690000\n1391676015\t22.750000\n1391676615\t22.750000\n1391677216\t22.690000\n1391677816\t22.690000\n1391678417\t22.690000\n1391679017\t22.750000\n1391679618\t22.690000\n1391680218\t22.750000\n1391680819\t22.880000\n1391681420\t22.810000\n1391682020\t22.880000\n1391682621\t22.750000\n1391683221\t22.690000\n1391683822\t22.620000\n1391684422\t22.690000\n1391685023\t22.560000\n1391685623\t22.750000\n1391686239\t22.620000\n1391686839\t22.690000\n1391687440\t22.620000\n1391688040\t22.750000\n1391688641\t22.810000\n1391689242\t22.940000\n1391689842\t23.000000\n1391690443\t23.000000\n1391691043\t20.310000\n1391691644\t20.810000\n1391692244\t21.060000\n1391692845\t21.000000\n1391693445\t21.060000\n1391694046\t21.250000\n1391694647\t21.250000\n1391695247\t21.380000\n1391695848\t21.380000\n1391696448\t21.380000\n1391696843\t21.380000\n1391701047\t21.310000\n1391701647\t21.310000\n1391702248\t21.380000\n1391702848\t21.380000\n1391703449\t21.190000\n1391704050\t21.310000\n1391704650\t21.310000\n1391705251\t21.380000\n1391705851\t21.310000\n1391706452\t21.380000\n1391707052\t21.310000\n1391707653\t21.380000\n1391708253\t21.310000\n1391708854\t21.310000\n1391709454\t21.380000\n1391710055\t21.310000\n1391710655\t21.380000\n1391711256\t21.310000\n1391711856\t21.310000\n1391712457\t21.310000\n1391713057\t21.310000\n1391713658\t21.310000\n1391714258\t21.310000\n1391714859\t21.310000\n1391715459\t21.190000\n1391716060\t21.250000\n1391716660\t21.310000\n1391717261\t21.310000\n1391717861\t21.310000\n1391718462\t21.310000\n1391719063\t21.250000\n1391719663\t21.190000\n1391720264\t21.250000\n1391720879\t21.250000\n1391721480\t21.310000\n1391722080\t21.190000\n1391722681\t21.190000\n1391723281\t21.250000\n1391723882\t21.310000\n1391724482\t21.250000\n1391725083\t21.310000\n1391725683\t21.310000\n1391726284\t21.310000\n1391726884\t21.310000\n1391727485\t21.250000\n1391728085\t21.250000\n1391728686\t21.250000\n1391729287\t21.310000\n1391729887\t21.250000\n1391730488\t21.310000\n1391731088\t21.250000\n1391731689\t21.250000\n1391732289\t21.250000\n1391732890\t21.250000\n1391733490\t21.250000\n1391734091\t21.310000\n1391734691\t21.310000\n1391735292\t21.310000\n1391735892\t21.310000\n1391736493\t21.310000\n1391737093\t21.310000\n1391737694\t21.310000\n1391738294\t21.310000\n1391738895\t21.310000\n1391739496\t21.380000\n1391740096\t21.310000\n1391740697\t21.380000\n1391741297\t21.380000\n1391741898\t21.380000\n1391742498\t21.380000\n1391743114\t21.310000\n1391743714\t21.380000\n1391744315\t21.310000\n1391744915\t21.380000\n1391745516\t21.380000\n1391746116\t21.440000\n1391746717\t21.380000\n1391747317\t21.380000\n1391747918\t21.380000\n1391748518\t21.380000\n1391749119\t21.310000\n1391749719\t21.380000\n1391750320\t21.380000\n1391750921\t21.310000\n1391751521\t21.500000\n1391752122\t21.380000\n1391752722\t21.380000\n1391753323\t21.380000\n1391753923\t21.380000\n1391754524\t21.380000\n1391755124\t21.440000\n1391755724\t21.440000\n1391756325\t21.440000\n1391756925\t21.440000\n1391757526\t21.380000\n1391758127\t21.380000\n1391758727\t21.440000\n1391759328\t21.440000\n1391759928\t21.440000\n1391760529\t21.440000\n1391761129\t21.380000\n1391761730\t21.440000\n1391762330\t21.440000\n1391762946\t21.380000\n1391763546\t21.310000\n1391764147\t21.440000\n1391764747\t21.440000\n1391765348\t21.440000\n1391765948\t21.440000\n1391766549\t21.500000\n1391767150\t21.440000\n1391767750\t21.380000\n1391768351\t21.440000\n1391768951\t21.500000\n1391769552\t21.440000\n1391770152\t21.440000\n1391770753\t21.440000\n1391771353\t20.120000\n1391771954\t20.940000\n1391772554\t21.310000\n1391773155\t21.500000\n1391773755\t21.690000\n1391774356\t21.750000\n1391774956\t21.810000\n1391775557\t21.940000\n1391776158\t21.940000\n1391776758\t21.940000\n1391777358\t21.940000\n1391777959\t22.000000\n1391778560\t22.000000\n1391779160\t21.500000\n1391779761\t21.500000\n1391780361\t21.500000\n1391780977\t21.500000\n1391781577\t21.440000\n1391782178\t21.440000\n1391782778\t21.440000\n1391783379\t21.440000\n1391783979\t21.440000\n1391784580\t21.380000\n1391785180\t21.380000\n1391785781\t21.440000\n1391786381\t21.380000\n1391786982\t21.310000\n1391787582\t21.310000\n1391788183\t21.250000\n1391788783\t21.250000\n1391789384\t21.310000\n1391789984\t21.190000\n1391790585\t21.190000\n1391791185\t21.310000\n1391791786\t21.380000\n1391792386\t21.380000\n1391792987\t21.380000\n1391793588\t21.250000\n1391794188\t21.310000\n1391794789\t21.310000\n1391795389\t21.440000\n1391795990\t21.380000\n1391796590\t21.440000\n1391797191\t21.440000\n1391797806\t21.380000\n1391798407\t21.440000\n1391799007\t21.440000\n1391799608\t21.380000\n1391800208\t21.500000\n1391800809\t21.440000\n1391801409\t21.500000\n1391802010\t21.500000\n1391802610\t21.500000\n1391803211\t21.500000\n1391803812\t21.500000\n1391804412\t21.560000\n1391805013\t21.620000\n1391805613\t21.620000\n1391806214\t21.560000\n1391806814\t21.560000\n1391807415\t21.620000\n1391808015\t21.500000\n1391808616\t21.560000\n1391809216\t21.500000\n1391809817\t21.560000\n1391810417\t21.620000\n1391811018\t21.500000\n1391811618\t21.560000\n1391812219\t21.560000\n1391812820\t21.560000\n1391813420\t21.620000\n1391814021\t21.620000\n1391814621\t21.620000\n1391815222\t21.690000\n1391815822\t21.750000\n1391816438\t21.750000\n1391817038\t21.750000\n1391817639\t21.750000\n1391818239\t21.750000\n1391818840\t21.750000\n1391819440\t21.750000\n1391820041\t21.750000\n1391820641\t21.810000\n1391821242\t21.750000\n1391821842\t21.690000\n1391822443\t21.690000\n1391823044\t21.620000\n1391823644\t21.560000\n1391824245\t21.560000\n1391824845\t21.500000\n1391825446\t21.440000\n1391826046\t21.500000\n1391826647\t21.440000\n1391827247\t21.500000\n1391827848\t21.500000\n1391828448\t21.560000\n1391829049\t21.620000\n1391829649\t21.560000\n1391830250\t21.560000\n1391830850\t21.560000\n1391831451\t21.560000\n1391832051\t21.500000\n1391832652\t21.500000\n1391833252\t21.440000\n1391833868\t21.380000\n1391834468\t21.380000\n1391835069\t21.380000\n1391835670\t21.250000\n1391836270\t21.310000\n1391836871\t21.250000\n1391837471\t21.250000\n1391838072\t21.250000\n1391838672\t21.380000\n1391839273\t21.440000\n1391839873\t21.310000\n1391840474\t21.310000\n1391841074\t21.310000\n1391841675\t21.250000\n1391842275\t21.190000\n1391842876\t21.250000\n1391843476\t21.190000\n1391844077\t21.120000\n1391844678\t21.120000\n1391845278\t21.060000\n1391845878\t21.060000\n1391846479\t21.060000\n1391847080\t21.060000\n1391847680\t21.120000\n1391848281\t21.120000\n1391848881\t21.190000\n1391849482\t21.120000\n1391850082\t21.310000\n1391850683\t21.250000\n1391851298\t21.250000\n1391851899\t21.190000\n1391852499\t21.250000\n1391853100\t21.310000\n1391853701\t21.250000\n1391854301\t21.190000\n1391854902\t21.000000\n1391855502\t21.120000\n1391856103\t21.190000\n1391856703\t21.190000\n1391857304\t21.310000\n1391857904\t21.310000\n1391858505\t21.310000\n1391859105\t21.250000\n1391859706\t21.250000\n1391860306\t21.250000\n1391860907\t21.250000\n1391861508\t21.190000\n1391862108\t21.190000\n1391862709\t21.120000\n1391863309\t21.060000\n1391863910\t21.120000\n1391864510\t21.060000\n1391865111\t21.060000\n1391865711\t21.000000\n1391866312\t20.940000\n1391866912\t20.940000\n1391867513\t20.940000\n1391868113\t21.000000\n1391868729\t20.940000\n1391869329\t20.880000\n1391869930\t20.940000\n1391870530\t20.940000\n1391871131\t20.940000\n1391871732\t21.000000\n1391872332\t21.000000\n1391872933\t21.120000\n1391873533\t21.120000\n1391874134\t21.120000\n1391874734\t21.190000\n1391875335\t21.190000\n1391875935\t21.250000\n1391876536\t21.250000\n1391877136\t21.250000\n1391877737\t21.310000\n1391878337\t21.310000\n1391878938\t21.440000\n1391879539\t21.500000\n1391880139\t21.500000\n1391880740\t21.500000\n1391881340\t21.500000\n1391881941\t21.380000\n1391882541\t21.440000\n1391883142\t21.440000\n1391883742\t21.500000\n1391884343\t21.560000\n1391884944\t21.560000\n1391885544\t21.560000\n1391886160\t21.560000\n1391886760\t21.500000\n1391887361\t21.560000\n1391887961\t21.560000\n1391888562\t21.560000\n1391889162\t21.560000\n1391889763\t21.620000\n1391890363\t21.620000\n1391890964\t21.560000\n1391891564\t21.620000\n1391892165\t21.690000\n1391892766\t21.620000\n1391893366\t21.690000\n1391893967\t21.560000\n1391894567\t21.620000\n1391895167\t21.690000\n1391895768\t21.690000\n1391896368\t21.690000\n1391896969\t21.750000\n1391897569\t21.690000\n1391898170\t21.750000\n1391898771\t21.690000\n1391899371\t21.690000\n1391899972\t21.750000\n1391900572\t21.620000\n1391901173\t21.620000\n1391901773\t21.750000\n1391902374\t21.750000\n1391902974\t21.750000\n1391903575\t21.810000\n1391904190\t21.750000\n1391904791\t21.690000\n1391905391\t21.750000\n1391905992\t21.750000\n1391906592\t21.690000\n1391907193\t21.690000\n1391907793\t21.620000\n1391908394\t21.750000\n1391908994\t21.690000\n1391909595\t21.690000\n1391910196\t21.750000\n1391910796\t21.750000\n1391911397\t21.750000\n1391911997\t21.810000\n1391912598\t21.810000\n1391913198\t21.880000\n1391913799\t21.880000\n1391914399\t21.810000\n1391915000\t21.880000\n1391915600\t21.880000\n1391916201\t21.880000\n1391916801\t21.810000\n1391917402\t21.880000\n1391918002\t21.940000\n1391918603\t21.940000\n1391919203\t21.940000\n1391919804\t21.880000\n1391920404\t21.940000\n1391921005\t21.880000\n1391921606\t21.940000\n1391922221\t21.880000\n1391922822\t21.940000\n1391923422\t21.940000\n1391924023\t21.880000\n1391924623\t21.940000\n1391925224\t21.940000\n1391925824\t22.060000\n1391926425\t22.060000\n1391927025\t21.940000\n1391927626\t21.940000\n1391928226\t21.940000\n1391928827\t22.000000\n1391929427\t21.940000\n1391930028\t21.940000\n1391930629\t22.000000\n1391931229\t22.060000\n1391931830\t22.000000\n1391932430\t21.880000\n1391933031\t21.940000\n1391933631\t21.940000\n1391934232\t21.940000\n1391934832\t22.000000\n1391935433\t21.880000\n1391936033\t21.880000\n1391936634\t21.880000\n1391937234\t21.940000\n1391937835\t21.940000\n1391938435\t21.940000\n1391939051\t22.000000\n1391939651\t22.000000\n1391940252\t21.940000\n1391940853\t21.880000\n1391941453\t21.880000\n1391942054\t21.940000\n1391942654\t21.880000\n1391943255\t21.880000\n1391943855\t21.810000\n1391944456\t21.750000\n1391945056\t21.750000\n1391945657\t21.810000\n1391946257\t21.750000\n1391946858\t21.810000\n1391947458\t21.880000\n1391948059\t21.940000\n1391948659\t21.940000\n1391949260\t21.810000\n1391949860\t21.810000\n1391950461\t21.750000\n1391951061\t21.690000\n1391951662\t21.690000\n1391952263\t21.750000\n1391952863\t21.810000\n1391953464\t21.810000\n1391954064\t21.750000\n1391954665\t21.190000\n1391955265\t21.310000\n1391955866\t21.310000\n1391956481\t21.310000\n1391957082\t21.310000\n1391957682\t21.250000\n1391958283\t21.380000\n1391958883\t21.440000\n1391959484\t21.500000\n1391960084\t21.560000\n1391960685\t21.750000\n1391961286\t21.690000\n1391961886\t21.690000\n1391962487\t21.690000\n1391963087\t21.690000\n1391963688\t21.750000\n1391964288\t21.690000\n1391964889\t21.690000\n1391965489\t21.500000\n1391966090\t21.440000\n1391966690\t21.440000\n1391967291\t21.440000\n1391967891\t20.750000\n1391968492\t20.940000\n1391969093\t21.060000\n1391969693\t21.190000\n1391970294\t21.310000\n1391970894\t21.380000\n1391971495\t21.380000\n1391972095\t21.440000\n1391972696\t21.380000\n1391973296\t21.380000\n1391973897\t21.310000\n1391974497\t21.440000\n1391975113\t21.440000\n1391975713\t21.560000\n1391976314\t21.560000\n1391976914\t21.560000\n1391977515\t21.560000\n1391978115\t21.500000\n1391978716\t21.560000\n1391979317\t21.500000\n1391979917\t21.560000\n1391980518\t21.620000\n1391981118\t21.620000\n1391981719\t21.750000\n1391982319\t21.810000\n1391982920\t21.810000\n1391983520\t21.810000\n1391984121\t21.810000\n1391984721\t21.810000\n1391985322\t21.810000\n1391985922\t21.880000\n1391986523\t21.880000\n1391987124\t21.880000\n1391987724\t21.880000\n1391988325\t21.940000\n1391988925\t21.940000\n1391989526\t21.940000\n1391990126\t21.940000\n1391990727\t21.940000\n1391991327\t21.880000\n1391991928\t21.940000\n1391992543\t21.880000\n1391993144\t21.940000\n1391993744\t21.940000\n1391994345\t21.940000\n1391994945\t21.880000\n1391995546\t21.940000\n1391996146\t21.940000\n1391996747\t21.940000\n1391997347\t21.940000\n1391997948\t21.880000\n1391998549\t21.940000\n1391999149\t21.880000\n1391999750\t21.880000\n1392000350\t21.750000\n1392000951\t21.750000\n1392001551\t21.560000\n1392002152\t21.500000\n1392002752\t21.440000\n1392003353\t21.380000\n1392003953\t21.310000\n1392004554\t21.310000\n1392005154\t21.250000\n1392005755\t21.250000\n1392006355\t21.310000\n1392006956\t21.250000\n1392007556\t21.190000\n1392008157\t21.120000\n1392008772\t21.060000\n1392009373\t21.060000\n1392009973\t21.000000\n1392010574\t21.120000\n1392011175\t21.120000\n1392011775\t21.190000\n1392012376\t21.060000\n1392012976\t21.120000\n1392013577\t21.190000\n1392014177\t21.190000\n1392014778\t21.190000\n1392015378\t21.310000\n1392015979\t21.380000\n1392016579\t21.380000\n1392017180\t21.250000\n1392017780\t21.310000\n1392018381\t21.190000\n1392018981\t21.190000\n1392019582\t21.190000\n1392020182\t21.060000\n1392020783\t21.060000\n1392021384\t21.060000\n1392021984\t21.060000\n1392022584\t21.060000\n1392023185\t21.000000\n1392023786\t21.000000\n1392024386\t21.000000\n1392024987\t21.000000\n1392025587\t21.000000\n1392026188\t21.000000\n1392026803\t21.120000\n1392027404\t21.120000\n1392028004\t21.190000\n1392028605\t21.190000\n1392029205\t21.250000\n1392029806\t21.250000\n1392030406\t21.250000\n1392031007\t21.250000\n1392031607\t21.310000\n1392032208\t21.380000\n1392032808\t21.380000\n1392033409\t21.380000\n1392034009\t21.310000\n1392034610\t21.310000\n1392035210\t21.310000\n1392035811\t21.250000\n1392036411\t21.190000\n1392037012\t21.190000\n1392037613\t21.120000\n1392038213\t21.250000\n1392038814\t21.310000\n1392039414\t21.250000\n1392040015\t21.250000\n1392040615\t21.310000\n1392041216\t21.380000\n1392041816\t21.380000\n1392042417\t21.440000\n1392043017\t21.500000\n1392043618\t21.500000\n1392044219\t21.500000\n1392044834\t21.500000\n1392045435\t21.500000\n1392046035\t21.620000\n1392046636\t21.690000\n1392047236\t21.750000\n1392047837\t21.750000\n1392048437\t21.810000\n1392049038\t21.810000\n1392049638\t21.810000\n1392050239\t21.880000\n1392050839\t21.810000\n1392051440\t21.880000\n1392052040\t21.810000\n1392052641\t21.810000\n1392053241\t21.810000\n1392053842\t21.880000\n1392054442\t21.810000\n1392055043\t21.750000\n1392055643\t21.810000\n1392056244\t21.880000\n1392056845\t19.500000\n1392057445\t20.940000\n1392058045\t21.500000\n1392058646\t21.880000\n1392059247\t22.120000\n1392059847\t22.250000\n1392060448\t22.380000\n1392061048\t22.310000\n1392061664\t22.380000\n1392062264\t22.500000\n1392062865\t22.560000\n1392063465\t22.620000\n1392064066\t22.750000\n1392064666\t22.750000\n1392065267\t22.620000\n1392065867\t22.690000\n1392066468\t22.750000\n1392067068\t22.750000\n1392067669\t22.810000\n1392068269\t22.880000\n1392068870\t22.810000\n1392069471\t22.940000\n1392070071\t22.880000\n1392070672\t22.940000\n1392071272\t22.940000\n1392071873\t23.000000\n1392072473\t23.000000\n1392073074\t23.060000\n1392073674\t23.060000\n1392074275\t23.060000\n1392074875\t23.060000\n1392075476\t23.120000\n1392076076\t23.120000\n1392076677\t23.190000\n1392077277\t23.190000\n1392077878\t23.190000\n1392078478\t23.190000\n1392079079\t23.120000\n1392079679\t23.190000\n1392080295\t23.120000\n1392080895\t23.190000\n1392081496\t23.190000\n1392082097\t23.190000\n1392082697\t23.190000\n1392083298\t23.250000\n1392083898\t23.250000\n1392084499\t23.190000\n1392085099\t23.190000\n1392085700\t23.250000\n1392086300\t23.250000\n1392086901\t23.310000\n1392087501\t23.250000\n1392088102\t23.250000\n1392088702\t23.250000\n1392089303\t23.250000\n1392089903\t23.250000\n1392090504\t23.250000\n1392091104\t23.310000\n1392091705\t23.310000\n1392092305\t23.310000\n1392092906\t23.310000\n1392093507\t23.310000\n1392094107\t23.380000\n1392094708\t23.310000\n1392095308\t23.380000\n1392095909\t23.380000\n1392096509\t23.380000\n1392097110\t23.500000\n1392097725\t23.440000\n1392098326\t23.440000\n1392098926\t23.380000\n1392099527\t23.380000\n1392100127\t23.380000\n1392100728\t23.380000\n1392101328\t23.380000\n1392101929\t23.380000\n1392102529\t23.380000\n1392103130\t23.380000\n1392103731\t23.380000\n1392104331\t23.380000\n1392104932\t23.380000\n1392105532\t23.380000\n1392106133\t23.380000\n1392106733\t23.440000\n1392107334\t23.440000\n1392107934\t23.440000\n1392108535\t23.440000\n1392109135\t23.440000\n1392109736\t23.440000\n1392110336\t23.440000\n1392110937\t23.380000\n1392111538\t23.440000\n1392112138\t23.500000\n1392112739\t23.440000\n1392113339\t23.440000\n1392113940\t23.440000\n1392114540\t23.500000\n1392115141\t23.440000\n1392115741\t23.440000\n1392116342\t23.440000\n1392116957\t23.440000\n1392117558\t23.440000\n1392118158\t23.500000\n1392118759\t23.500000\n1392119359\t23.440000\n1392119960\t23.440000\n1392120560\t23.440000\n1392121161\t23.500000\n1392121761\t23.500000\n1392122362\t23.500000\n1392122962\t23.500000\n1392123563\t23.500000\n1392124163\t23.500000\n1392124764\t23.560000\n1392125365\t23.440000\n1392125965\t23.560000\n1392126566\t23.620000\n1392127166\t23.620000\n1392127767\t23.560000\n1392128367\t23.000000\n1392128968\t22.940000\n1392129568\t22.690000\n1392130169\t22.620000\n1392130769\t22.620000\n1392131370\t22.560000\n1392131970\t22.560000\n1392132571\t22.560000\n1392133171\t22.500000\n1392133772\t22.500000\n1392134372\t22.500000\n1392134973\t22.560000\n1392135574\t22.500000\n1392136174\t22.500000\n1392136790\t22.440000\n1392137390\t22.500000\n1392137990\t22.560000\n1392138591\t22.500000\n1392139192\t22.500000\n1392139792\t22.500000\n1392140393\t22.440000\n1392140993\t22.440000\n1392141594\t22.440000\n1392142194\t22.440000\n1392142795\t22.380000\n1392143395\t22.380000\n1392143996\t22.120000\n1392144596\t22.190000\n1392145197\t22.250000\n1392145797\t22.190000\n1392146398\t22.190000\n1392146998\t22.120000\n1392147599\t22.060000\n1392148199\t21.880000\n1392148800\t21.940000\n1392149400\t22.000000\n1392150001\t22.060000\n1392150601\t22.060000\n1392151202\t22.120000\n1392151802\t22.120000\n1392152403\t22.120000\n1392153004\t22.120000\n1392153604\t22.120000\n1392154205\t22.190000\n1392154805\t22.190000\n1392155406\t22.190000\n1392156021\t22.120000\n1392156622\t22.120000\n1392157222\t22.120000\n1392157823\t22.060000\n1392158423\t22.060000\n1392159024\t22.060000\n1392159624\t22.060000\n1392160225\t22.060000\n1392160826\t22.060000\n1392161426\t22.120000\n1392162027\t22.120000\n1392162627\t22.060000\n1392163228\t22.000000\n1392163828\t22.060000\n1392164429\t22.060000\n1392165029\t22.000000\n1392165630\t22.060000\n1392166230\t22.060000\n1392166831\t22.060000\n1392167431\t22.060000\n1392168032\t22.060000\n1392168632\t22.060000\n1392169233\t22.060000\n1392169833\t22.060000\n1392170434\t22.060000\n1392171035\t22.120000\n1392171635\t22.120000\n1392172236\t22.190000\n1392172836\t22.120000\n1392173452\t22.120000\n1392174052\t22.120000\n1392174653\t22.190000\n1392175253\t22.120000\n1392175854\t22.120000\n1392176454\t22.120000\n1392177055\t22.190000\n1392177655\t22.190000\n1392178256\t22.190000\n1392178856\t22.190000\n1392179457\t22.120000\n1392180058\t22.190000\n1392180658\t22.190000\n1392181259\t22.190000\n1392181859\t22.190000\n1392182460\t22.190000\n1392183060\t22.120000\n1392183661\t22.120000\n1392184261\t22.250000\n1392184862\t22.250000\n1392185462\t22.190000\n1392186063\t22.190000\n1392186664\t22.120000\n1392187264\t22.120000\n1392187865\t22.190000\n1392188465\t22.190000\n1392189066\t22.190000\n1392189666\t22.190000\n1392190267\t22.190000\n1392190867\t22.190000\n1392191468\t22.120000\n1392192068\t22.190000\n1392192669\t22.120000\n1392193284\t22.190000\n1392193885\t22.190000\n1392194485\t22.120000\n1392195086\t22.190000\n1392195687\t22.190000\n1392196287\t22.190000\n1392196888\t22.120000\n1392197488\t22.190000\n1392198089\t22.190000\n1392198689\t22.190000\n1392199290\t22.250000\n1392199890\t22.190000\n1392200491\t22.190000\n1392201091\t22.250000\n1392201692\t22.250000\n1392202293\t22.190000\n1392202893\t22.120000\n1392203494\t22.120000\n1392204094\t22.120000\n1392204695\t22.120000\n1392205295\t22.190000\n1392205896\t22.120000\n1392206496\t22.190000\n1392207097\t22.190000\n1392207697\t22.190000\n1392208298\t22.190000\n1392208899\t22.190000\n1392209499\t22.250000\n1392210100\t22.190000\n1392210700\t22.250000\n1392211301\t22.310000\n1392211901\t22.380000\n1392212517\t22.310000\n1392213117\t22.310000\n1392213718\t22.250000\n1392214318\t22.250000\n1392214919\t22.310000\n1392215519\t22.310000\n1392216120\t22.310000\n1392216720\t22.310000\n1392217321\t22.250000\n1392217922\t22.380000\n1392218522\t22.440000\n1392219123\t22.380000\n1392219723\t22.380000\n1392220324\t22.380000\n1392220924\t22.380000\n1392221524\t22.310000\n1392222125\t22.440000\n1392222726\t22.440000\n1392223326\t22.310000\n1392223927\t22.310000\n1392224527\t22.190000\n1392225128\t22.190000\n1392225728\t22.120000\n1392226329\t22.190000\n1392226929\t22.190000\n1392227545\t22.250000\n1392228145\t22.310000\n1392228746\t22.250000\n1392229346\t22.310000\n1392229947\t22.250000\n1392230547\t22.190000\n1392231148\t22.250000\n1392231748\t22.250000\n1392232349\t22.250000\n1392232949\t22.120000\n1392233550\t22.000000\n1392234151\t22.000000\n1392234751\t22.000000\n1392235352\t22.060000\n1392235952\t22.120000\n1392236553\t22.190000\n1392237153\t22.190000\n1392237754\t22.190000\n1392238354\t22.190000\n1392238955\t22.190000\n1392239555\t22.190000\n1392240156\t22.120000\n1392240756\t22.190000\n1392241357\t22.190000\n1392241957\t22.190000\n1392242558\t22.190000\n1392243158\t22.250000\n1392243759\t22.190000\n1392244360\t22.250000\n1392244960\t22.250000\n1392245576\t22.250000\n1392246176\t22.250000\n1392246777\t22.250000\n1392247377\t22.250000\n1392247978\t22.250000\n1392248578\t22.190000\n1392249179\t22.250000\n1392249779\t22.250000\n1392250380\t22.190000\n1392250980\t22.250000\n1392251581\t22.190000\n1392252182\t22.190000\n1392252782\t22.190000\n1392253383\t22.190000\n1392253983\t22.190000\n1392254584\t22.190000\n1392255184\t22.190000\n1392255785\t22.120000\n1392256385\t22.120000\n1392256986\t22.190000\n1392257586\t22.250000\n1392258187\t22.190000\n1392258787\t22.250000\n1392259388\t22.250000\n1392259988\t22.190000\n1392260589\t22.250000\n1392261189\t22.190000\n1392261790\t22.310000\n1392262390\t22.250000\n1392262991\t22.190000\n1392263607\t22.250000\n1392264207\t22.250000\n1392264808\t22.310000\n1392265408\t22.250000\n1392266009\t22.190000\n1392266609\t22.120000\n1392267210\t22.120000\n1392267810\t22.190000\n1392268411\t22.190000\n1392269011\t22.120000\n1392269612\t22.190000\n1392270212\t22.120000\n1392270813\t22.120000\n1392271414\t22.190000\n1392272014\t22.120000\n1392272615\t22.120000\n1392273215\t22.060000\n1392273816\t22.060000\n1392274416\t22.190000\n1392275017\t22.060000\n1392275617\t22.060000\n1392276218\t22.000000\n1392276818\t22.060000\n1392277419\t22.000000\n1392278019\t22.060000\n1392278620\t22.000000\n1392279221\t22.060000\n1392279821\t22.060000\n1392280422\t22.060000\n1392281037\t22.060000\n1392281638\t22.060000\n1392282238\t22.120000\n1392282839\t21.250000\n1392283439\t21.560000\n1392284040\t21.750000\n1392284640\t21.810000\n1392285241\t21.880000\n1392285841\t21.880000\n1392286442\t22.000000\n1392287042\t22.000000\n1392287643\t21.940000\n1392288243\t22.000000\n1392288844\t22.000000\n1392289445\t22.060000\n1392290045\t22.060000\n1392290646\t22.060000\n1392291246\t22.000000\n1392291847\t22.120000\n1392292447\t22.060000\n1392293048\t22.120000\n1392293648\t22.120000\n1392294249\t22.060000\n1392294849\t22.120000\n1392295450\t22.120000\n1392296050\t22.120000\n1392296651\t22.060000\n1392297252\t22.060000\n1392297852\t22.060000\n1392298453\t22.060000\n1392299053\t22.000000\n1392299669\t21.880000\n1392300269\t21.750000\n1392300870\t21.750000\n1392301470\t21.690000\n1392302071\t21.750000\n1392302671\t21.810000\n1392303272\t21.810000\n1392303872\t21.880000\n1392304473\t21.810000\n1392305073\t21.750000\n1392305674\t21.750000\n1392306274\t21.750000\n1392306875\t21.810000\n1392307476\t21.810000\n1392308076\t21.750000\n1392308677\t21.690000\n1392309277\t21.690000\n1392309878\t21.620000\n1392310478\t21.690000\n1392311079\t21.620000\n1392311679\t21.620000\n1392312280\t21.310000\n1392312880\t21.500000\n1392313481\t21.560000\n1392314081\t21.560000\n1392314682\t21.560000\n1392315282\t21.560000\n1392315883\t21.560000\n1392316484\t21.620000\n1392317084\t21.690000\n1392317685\t21.690000\n1392318300\t21.750000\n1392318901\t21.690000\n1392319501\t21.750000\n1392320102\t21.690000\n1392320702\t21.690000\n1392321303\t21.620000\n1392321903\t21.620000\n1392322504\t21.560000\n1392323104\t21.500000\n1392323705\t21.440000\n1392324305\t21.560000\n1392324906\t21.560000\n1392325506\t21.620000\n1392326107\t21.690000\n1392326707\t21.750000\n1392327308\t21.690000\n1392327908\t21.810000\n1392328509\t21.940000\n1392329110\t21.810000\n1392329710\t21.750000\n1392330311\t21.810000\n1392330911\t21.750000\n1392331512\t21.880000\n1392332112\t21.750000\n1392332713\t21.750000\n1392333313\t21.690000\n1392333914\t21.810000\n1392334514\t21.750000\n1392335115\t21.810000\n1392335715\t21.810000\n1392336331\t21.750000\n1392336932\t21.750000\n1392337532\t21.690000\n1392338133\t21.810000\n1392338733\t21.940000\n1392339334\t21.880000\n1392339934\t21.810000\n1392340535\t21.750000\n1392341135\t21.690000\n1392341736\t21.750000\n1392342336\t21.690000\n1392342937\t21.560000\n1392343537\t21.560000\n1392344138\t21.560000\n1392344738\t21.560000\n1392345339\t21.690000\n1392345939\t21.690000\n1392346540\t21.620000\n1392347141\t21.690000\n1392347741\t21.620000\n1392348342\t21.620000\n1392348942\t21.620000\n1392349543\t21.620000\n1392350143\t21.500000\n1392350744\t21.440000\n1392351344\t21.440000\n1392351945\t21.310000\n1392352545\t21.250000\n1392353146\t21.380000\n1392353746\t21.380000\n1392354347\t21.380000\n1392354962\t21.380000\n1392355563\t21.440000\n1392356164\t21.500000\n1392356764\t21.440000\n1392357365\t20.880000\n1392357965\t20.440000\n1392358566\t20.690000\n1392359166\t20.940000\n1392359767\t21.060000\n1392360367\t21.190000\n1392360968\t21.250000\n1392361568\t21.250000\n1392362169\t21.380000\n1392362769\t21.120000\n1392363370\t21.190000\n1392363970\t21.310000\n1392364571\t21.310000\n1392365171\t21.380000\n1392365772\t21.380000\n1392366372\t21.380000\n1392366973\t21.440000\n1392367573\t21.440000\n1392368174\t21.380000\n1392368774\t21.500000\n1392369375\t21.560000\n1392369975\t21.500000\n1392370576\t21.500000\n1392371177\t21.500000\n1392371777\t21.500000\n1392372378\t21.500000\n1392372978\t21.380000\n1392373594\t21.380000\n1392374194\t21.380000\n1392374795\t21.380000\n1392375395\t21.250000\n1392375996\t21.310000\n1392376596\t21.250000\n1392377197\t21.250000\n1392377797\t21.250000\n1392378398\t21.190000\n1392378998\t21.190000\n1392379599\t19.940000\n1392380199\t19.880000\n1392380800\t20.440000\n1392381400\t20.690000\n1392382001\t20.880000\n1392382601\t20.940000\n1392383202\t21.060000\n1392383802\t21.120000\n1392384403\t21.190000\n1392385003\t21.190000\n1392385604\t21.190000\n1392386204\t21.190000\n1392386805\t21.250000\n1392387405\t21.250000\n1392388006\t21.250000\n1392388607\t21.250000\n1392389222\t21.310000\n1392389823\t21.250000\n1392390423\t21.310000\n1392391024\t21.250000\n1392391624\t21.310000\n1392392225\t21.310000\n1392392825\t21.310000\n1392393426\t21.310000\n1392394026\t21.380000\n1392394627\t21.310000\n1392395227\t21.310000\n1392395828\t21.310000\n1392396428\t21.310000\n1392397029\t21.380000\n1392397629\t21.380000\n1392398230\t21.380000\n1392398831\t21.440000\n1392399431\t21.380000\n1392400032\t21.380000\n1392400632\t21.310000\n1392401233\t21.310000\n1392401833\t21.380000\n1392402434\t21.310000\n1392403034\t21.380000\n1392403635\t21.380000\n1392404235\t21.380000\n1392404836\t21.380000\n1392405436\t21.380000\n1392406037\t21.380000\n1392406637\t21.440000\n1392407238\t21.380000\n1392407854\t21.380000\n1392408454\t21.380000\n1392409055\t21.380000\n1392409655\t21.310000\n1392410256\t21.380000\n1392410856\t21.380000\n1392411457\t21.310000\n1392412057\t21.380000\n1392412658\t21.310000\n1392413258\t21.310000\n1392413859\t21.310000\n1392414460\t21.380000\n1392415060\t21.310000\n1392415661\t21.380000\n1392416261\t21.380000\n1392416862\t21.440000\n1392417462\t21.380000\n1392418063\t21.440000\n1392418663\t21.310000\n1392419264\t21.310000\n1392419864\t21.380000\n1392420465\t21.380000\n1392421065\t21.380000\n1392421666\t21.380000\n1392422266\t21.380000\n1392422867\t21.440000\n1392423467\t21.310000\n1392424068\t21.380000\n1392424668\t21.380000\n1392425284\t21.380000\n1392425884\t21.380000\n1392426485\t21.380000\n1392427085\t21.310000\n1392427686\t21.310000\n1392428286\t21.380000\n1392428887\t21.250000\n1392429487\t21.310000\n1392430088\t21.310000\n1392430689\t21.380000\n1392431289\t21.440000\n1392431890\t21.380000\n1392432490\t21.380000\n1392433091\t21.380000\n1392433691\t21.380000\n1392434292\t21.310000\n1392434892\t21.380000\n1392435493\t21.380000\n1392436093\t21.310000\n1392436694\t21.380000\n1392437294\t21.310000\n1392437895\t21.380000\n1392438495\t21.310000\n1392439096\t21.380000\n1392439696\t21.380000\n1392440297\t21.380000\n1392440898\t21.250000\n1392441513\t21.310000\n1392442114\t21.250000\n1392442714\t21.380000\n1392443315\t21.310000\n1392443915\t21.310000\n1392444516\t21.310000\n1392445116\t21.250000\n1392445717\t21.190000\n1392446317\t21.250000\n1392446918\t21.250000\n1392447518\t21.250000\n1392448119\t21.190000\n1392448720\t21.190000\n1392449320\t21.250000\n1392449921\t21.190000\n1392450521\t21.310000\n1392451122\t21.380000\n1392451722\t21.250000\n1392452323\t21.310000\n1392452923\t21.190000\n1392453524\t21.250000\n1392454124\t21.190000\n1392454725\t21.190000\n1392455325\t21.190000\n1392455926\t21.120000\n1392456526\t21.060000\n1392457127\t21.060000\n1392457727\t20.940000\n1392458328\t20.940000\n1392458944\t20.880000\n1392459544\t20.880000\n1392460145\t20.880000\n1392460745\t20.880000\n1392461346\t20.810000\n1392461946\t20.810000\n1392462547\t20.810000\n1392463147\t20.750000\n1392463748\t19.750000\n1392464348\t20.060000\n1392464949\t20.380000\n1392465549\t20.560000\n1392466150\t20.690000\n1392466751\t20.750000\n1392467351\t20.810000\n1392467952\t20.880000\n1392468552\t20.940000\n1392469153\t20.940000\n1392469753\t20.940000\n1392470354\t20.940000\n1392470954\t20.940000\n1392471555\t21.000000\n1392472155\t21.000000\n1392472756\t20.940000\n1392473356\t20.940000\n1392473957\t20.880000\n1392474557\t20.880000\n1392475158\t20.880000\n1392475758\t20.810000\n1392476359\t20.750000\n1392476959\t20.810000\n1392477575\t20.880000\n1392478175\t20.690000\n1392478776\t20.500000\n1392479376\t20.620000\n1392479977\t20.750000\n1392480578\t20.810000\n1392481178\t20.880000\n1392481779\t20.940000\n1392482379\t21.060000\n1392482980\t20.880000\n1392483580\t20.810000\n1392484181\t20.880000\n1392484781\t20.940000\n1392485382\t21.000000\n1392485982\t21.060000\n1392486583\t20.940000\n1392487183\t20.940000\n1392487784\t20.880000\n1392488384\t20.940000\n1392488985\t21.000000\n1392489585\t21.000000\n1392490186\t21.000000\n1392490786\t20.940000\n1392491387\t21.060000\n1392491987\t21.060000\n1392492588\t20.940000\n1392493189\t20.810000\n1392493789\t20.880000\n1392494390\t20.940000\n1392494990\t21.000000\n1392495606\t21.060000\n1392496206\t21.120000\n1392496807\t21.120000\n1392497407\t21.000000\n1392498008\t20.880000\n1392498608\t20.810000\n1392499209\t20.690000\n1392499809\t20.620000\n1392500410\t20.810000\n1392501010\t20.750000\n1392501611\t20.690000\n1392502211\t20.750000\n1392502812\t20.810000\n1392503412\t20.940000\n1392504013\t20.880000\n1392504613\t20.750000\n1392505214\t20.690000\n1392505814\t20.560000\n1392506415\t20.560000\n1392507015\t20.560000\n1392507616\t20.560000\n1392508217\t20.440000\n1392508817\t20.500000\n1392509418\t20.380000\n1392510018\t20.380000\n1392510619\t20.310000\n1392511219\t20.380000\n1392511820\t20.190000\n1392512420\t20.250000\n1392513021\t20.380000\n1392513621\t20.310000\n1392514222\t20.250000\n1392514837\t20.310000\n1392515438\t20.190000\n1392516038\t20.250000\n1392516639\t20.310000\n1392517240\t20.120000\n1392517840\t20.120000\n1392518441\t20.060000\n1392519041\t20.000000\n1392519642\t19.940000\n1392520242\t19.940000\n1392520843\t19.940000\n1392521443\t19.940000\n1392522044\t19.940000\n1392522644\t19.940000\n1392523245\t20.000000\n1392523845\t19.880000\n1392524446\t19.750000\n1392525046\t19.880000\n1392525647\t19.810000\n1392526247\t19.750000\n1392526848\t19.750000\n1392527448\t19.750000\n1392528049\t19.810000\n1392528649\t19.690000\n1392529250\t19.810000\n1392529851\t19.880000\n1392530451\t19.810000\n1392531052\t19.750000\n1392531652\t19.690000\n1392532253\t19.750000\n1392532853\t19.560000\n1392533469\t19.500000\n1392534069\t19.500000\n1392534670\t19.500000\n1392535270\t19.440000\n1392535871\t19.440000\n1392536471\t19.440000\n1392537072\t19.440000\n1392537673\t19.440000\n1392538273\t19.440000\n1392538874\t19.380000\n1392539474\t19.380000\n1392540075\t19.440000\n1392540675\t19.380000\n1392541276\t19.380000\n1392541876\t19.190000\n1392542477\t19.250000\n1392543077\t19.250000\n1392543678\t19.250000\n1392544278\t19.250000\n1392544879\t19.310000\n1392545479\t19.310000\n1392546080\t19.310000\n1392546680\t19.380000\n1392547281\t19.380000\n1392547881\t19.380000\n1392548482\t19.380000\n1392549083\t19.440000\n1392549698\t19.310000\n1392550299\t19.250000\n1392550899\t19.380000\n1392551500\t19.310000\n1392552100\t19.310000\n1392552701\t19.440000\n1392553301\t19.380000\n1392553902\t19.380000\n1392554502\t19.380000\n1392555103\t19.380000\n1392555704\t19.440000\n1392556304\t19.310000\n1392556905\t19.440000\n1392557505\t19.440000\n1392558106\t19.380000\n1392558706\t19.500000\n1392559307\t19.440000\n1392559907\t19.440000\n1392560508\t19.500000\n1392561108\t19.500000\n1392561709\t19.560000\n1392562309\t19.560000\n1392562910\t19.440000\n1392563510\t19.440000\n1392564111\t19.440000\n1392564712\t19.440000\n1392565312\t19.440000\n1392565913\t19.310000\n1392566513\t19.310000\n1392567114\t19.380000\n1392567729\t19.380000\n1392568330\t19.310000\n1392568930\t19.380000\n1392569531\t19.310000\n1392570131\t19.380000\n1392570732\t19.310000\n1392571332\t19.310000\n1392571933\t19.380000\n1392572533\t19.440000\n1392573134\t19.380000\n1392573735\t19.500000\n1392574335\t19.560000\n1392574936\t19.500000\n1392575536\t19.620000\n1392576137\t19.500000\n1392576737\t19.560000\n1392577338\t19.560000\n1392577938\t19.620000\n1392578539\t19.690000\n1392579139\t19.810000\n1392579740\t19.750000\n1392580340\t19.750000\n1392580941\t19.750000\n1392581541\t19.750000\n1392582142\t19.880000\n1392582742\t20.000000\n1392583343\t20.000000\n1392583943\t20.120000\n1392584544\t20.120000\n1392585145\t20.190000\n1392585745\t20.250000\n1392586346\t20.250000\n1392586946\t20.380000\n1392587547\t20.250000\n1392588147\t20.190000\n1392588763\t20.120000\n1392589363\t20.120000\n1392589964\t20.190000\n1392590564\t20.190000\n1392591165\t20.190000\n1392591765\t20.310000\n1392592366\t20.250000\n1392592966\t20.310000\n1392593567\t20.190000\n1392594168\t20.190000\n1392594768\t20.190000\n1392595369\t20.120000\n1392595969\t20.060000\n1392596570\t20.120000\n1392597170\t20.120000\n1392597771\t20.310000\n1392598371\t20.310000\n1392598972\t20.190000\n1392599572\t20.060000\n1392600173\t19.940000\n1392600773\t20.060000\n1392601374\t20.000000\n1392601974\t19.940000\n1392602575\t19.940000\n1392603175\t19.940000\n1392603776\t19.880000\n1392604376\t19.810000\n1392604977\t20.000000\n1392605577\t19.940000\n1392606178\t19.940000\n1392606779\t20.000000\n1392607379\t19.940000\n1392607980\t20.060000\n1392608580\t19.940000\n1392609196\t19.940000\n1392609796\t19.940000\n1392610397\t19.940000\n1392610997\t19.880000\n1392611598\t19.940000\n1392612198\t19.940000\n1392612799\t19.940000\n1392613399\t20.000000\n1392614000\t20.000000\n1392614600\t19.940000\n1392615201\t20.000000\n1392615801\t20.060000\n1392616402\t20.060000\n1392617003\t20.120000\n1392617603\t20.060000\n1392618204\t20.000000\n1392618804\t20.060000\n1392619405\t20.060000\n1392620005\t20.000000\n1392620606\t20.060000\n1392621206\t20.120000\n1392621807\t20.190000\n1392622407\t20.190000\n1392623008\t20.310000\n1392623608\t20.310000\n1392624209\t20.250000\n1392624809\t20.380000\n1392625410\t20.310000\n1392626025\t20.250000\n1392626626\t20.310000\n1392627226\t20.380000\n1392627827\t20.440000\n1392628427\t20.440000\n1392629028\t20.440000\n1392629628\t20.310000\n1392630229\t20.310000\n1392630830\t20.250000\n1392631430\t20.310000\n1392632031\t20.310000\n1392632631\t20.250000\n1392633232\t20.310000\n1392633832\t20.440000\n1392634433\t20.310000\n1392635033\t20.250000\n1392635634\t20.190000\n1392636234\t20.060000\n1392636835\t20.190000\n1392637435\t20.250000\n1392638036\t20.250000\n1392638636\t20.190000\n1392639237\t20.120000\n1392639837\t20.120000\n1392640438\t20.190000\n1392641039\t20.250000\n1392641639\t20.250000\n1392642240\t20.190000\n1392642840\t20.440000\n1392643441\t20.500000\n1392644041\t20.500000\n1392644657\t20.500000\n1392645257\t20.560000\n1392645858\t20.440000\n1392646458\t20.500000\n1392647059\t20.440000\n1392647659\t20.620000\n1392648260\t20.620000\n1392648861\t20.690000\n1392649461\t20.690000\n1392650062\t20.690000\n1392650662\t20.750000\n1392651263\t20.750000\n1392651863\t20.880000\n1392652464\t20.810000\n1392653064\t20.750000\n1392653665\t20.690000\n1392654265\t20.750000\n1392654866\t20.810000\n1392655466\t20.810000\n1392656067\t20.750000\n1392656667\t20.810000\n1392657268\t20.810000\n1392657868\t20.810000\n1392658469\t20.810000\n1392659069\t20.810000\n1392659670\t20.810000\n1392660270\t20.880000\n1392660871\t20.880000\n1392661471\t20.880000\n1392662072\t20.810000\n1392662672\t20.880000\n1392663288\t20.810000\n1392663889\t20.880000\n1392664489\t20.880000\n1392665090\t20.880000\n1392665690\t20.880000\n1392666291\t20.940000\n1392666891\t20.940000\n1392667492\t20.880000\n1392668092\t21.000000\n1392668693\t20.940000\n1392669293\t21.000000\n1392669894\t20.940000\n1392670494\t20.880000\n1392671095\t20.880000\n1392671695\t20.940000\n1392672296\t20.880000\n1392672896\t20.940000\n1392673497\t20.880000\n1392674097\t21.000000\n1392674698\t20.940000\n1392675299\t20.940000\n1392675899\t20.940000\n1392676500\t21.000000\n1392677100\t21.000000\n1392677701\t21.000000\n1392678301\t21.000000\n1392678902\t21.000000\n1392679502\t21.000000\n1392680103\t21.060000\n1392680703\t21.000000\n1392681304\t20.940000\n1392681919\t21.000000\n1392682520\t21.060000\n1392683121\t21.060000\n1392683721\t21.000000\n1392684322\t21.000000\n1392684922\t20.940000\n1392685523\t20.940000\n1392686123\t21.000000\n1392686724\t20.880000\n1392687324\t21.000000\n1392687925\t21.000000\n1392688525\t21.000000\n1392689126\t20.940000\n1392689726\t21.000000\n1392690327\t20.940000\n1392690927\t20.940000\n1392691528\t21.000000\n1392692129\t21.060000\n1392692729\t21.060000\n1392693330\t21.060000\n1392693930\t21.060000\n1392694531\t21.000000\n1392695131\t21.000000\n1392695732\t21.000000\n1392696332\t21.000000\n1392696933\t21.000000\n1392697533\t21.000000\n1392698134\t21.000000\n1392698734\t21.000000\n1392699335\t20.940000\n1392699935\t20.940000\n1392700536\t20.940000\n1392701151\t20.880000\n1392701752\t21.060000\n1392702352\t21.060000\n1392702953\t21.060000\n1392703554\t21.060000\n1392704154\t21.000000\n1392704755\t21.000000\n1392705355\t21.060000\n1392705956\t21.000000\n1392706556\t20.940000\n1392707157\t21.000000\n1392707757\t21.000000\n1392708358\t20.940000\n1392708959\t21.000000\n1392709559\t20.940000\n1392710160\t21.000000\n1392710760\t20.940000\n1392711361\t21.000000\n1392711961\t20.940000\n1392712562\t20.880000\n1392713162\t20.940000\n1392713763\t20.940000\n1392714363\t21.000000\n1392714964\t20.880000\n1392715564\t20.940000\n1392716165\t20.940000\n1392716765\t21.000000\n1392717366\t20.940000\n1392717966\t20.940000\n1392718567\t20.940000\n1392719182\t20.940000\n1392719783\t20.940000\n1392720383\t20.880000\n1392720984\t20.940000\n1392721585\t21.000000\n1392722185\t21.000000\n1392722786\t21.000000\n1392723386\t21.000000\n1392723987\t21.000000\n1392724587\t21.060000\n1392725188\t21.060000\n1392725788\t20.940000\n1392726389\t21.000000\n1392726989\t21.000000\n1392727590\t21.060000\n1392728190\t20.940000\n1392728791\t21.000000\n1392729391\t21.000000\n1392729992\t21.060000\n1392730592\t21.000000\n1392731193\t21.000000\n1392731794\t20.940000\n1392732394\t21.000000\n1392732995\t20.940000\n1392733595\t21.060000\n1392734196\t21.000000\n1392734796\t21.000000\n1392735397\t21.060000\n1392736012\t21.060000\n1392736613\t21.060000\n1392737213\t21.120000\n1392737814\t21.120000\n1392738414\t21.000000\n1392739015\t21.120000\n1392739615\t21.060000\n1392740216\t21.000000\n1392740816\t21.000000\n1392741417\t21.000000\n1392742018\t21.000000\n1392742618\t21.120000\n1392743219\t21.000000\n1392743819\t21.000000\n1392744420\t21.060000\n1392745020\t21.060000\n1392745621\t21.000000\n1392746221\t21.060000\n1392746822\t21.000000\n1392747422\t21.000000\n1392748023\t21.000000\n1392748623\t21.060000\n1392749224\t21.060000\n1392749824\t21.060000\n1392750425\t21.060000\n1392751026\t21.060000\n1392751626\t21.060000\n1392752227\t21.250000\n1392752827\t21.190000\n1392753428\t21.120000\n1392754028\t21.060000\n1392754644\t21.000000\n1392755244\t21.000000\n1392755845\t21.000000\n1392756445\t20.940000\n1392757046\t21.000000\n1392757646\t21.000000\n1392758247\t21.000000\n1392758847\t21.060000\n1392759448\t21.000000\n1392760049\t21.000000\n1392760649\t21.000000\n1392761250\t21.000000\n1392761850\t21.000000\n1392762451\t21.060000\n1392763051\t21.000000\n1392763652\t21.000000\n1392764252\t20.940000\n1392764853\t20.940000\n1392765453\t20.940000\n1392766054\t21.000000\n1392766654\t21.060000\n1392767255\t20.940000\n1392767855\t21.000000\n1392768456\t20.940000\n1392769057\t21.000000\n1392769657\t21.000000\n1392770257\t20.940000\n1392770858\t21.000000\n1392771459\t21.000000\n1392772074\t20.940000\n1392772675\t21.000000\n1392773275\t21.060000\n1392773876\t20.940000\n1392774476\t21.000000\n1392775077\t20.880000\n1392775677\t21.000000\n1392776278\t20.880000\n1392776879\t20.880000\n1392777479\t20.940000\n1392778079\t20.940000\n1392778680\t20.940000\n1392779281\t20.940000\n1392779881\t20.940000\n1392780482\t20.940000\n1392781082\t20.940000\n1392781683\t20.880000\n1392782283\t20.940000\n1392782884\t20.940000\n1392783484\t20.940000\n1392784085\t20.940000\n1392784685\t20.940000\n1392785286\t20.750000\n1392785886\t20.880000\n1392786487\t20.880000\n1392787087\t20.880000\n1392787703\t20.810000\n1392788304\t20.880000\n1392788904\t20.940000\n1392789505\t20.940000\n1392790105\t20.810000\n1392790706\t20.880000\n1392791306\t20.880000\n1392791907\t20.810000\n1392792507\t20.940000\n1392793108\t20.810000\n1392793708\t20.810000\n1392794309\t20.810000\n1392794909\t20.810000\n1392795510\t20.750000\n1392796110\t20.810000\n1392796711\t20.810000\n1392797311\t20.810000\n1392797912\t20.810000\n1392798513\t20.750000\n1392799113\t20.750000\n1392799714\t20.880000\n1392800314\t20.810000\n1392800915\t20.750000\n1392801515\t20.750000\n1392802116\t20.810000\n1392802716\t20.750000\n1392803317\t20.750000\n1392803917\t20.810000\n1392804518\t20.810000\n1392805118\t20.810000\n1392805719\t20.810000\n1392806334\t20.690000\n1392806935\t20.750000\n1392807535\t20.750000\n1392808136\t20.750000\n1392808736\t20.750000\n1392809337\t20.810000\n1392809937\t20.750000\n1392810538\t20.810000\n1392811139\t20.810000\n1392811739\t20.690000\n1392812340\t20.690000\n1392812940\t20.690000\n1392813541\t20.690000\n1392814141\t20.750000\n1392814742\t20.750000\n1392815342\t20.750000\n1392815943\t20.750000\n1392816543\t20.750000\n1392817144\t20.690000\n1392817744\t20.810000\n1392818345\t20.750000\n1392818945\t20.750000\n1392819546\t20.810000\n1392820146\t20.750000\n1392820747\t20.750000\n1392821347\t20.690000\n1392821948\t20.750000\n1392822549\t20.690000\n1392823149\t20.810000\n1392823750\t20.880000\n1392824365\t20.750000\n1392824966\t20.690000\n1392825566\t20.750000\n1392826167\t20.690000\n1392826767\t20.690000\n1392827368\t20.690000\n1392827969\t20.690000\n1392828569\t20.690000\n1392829170\t20.690000\n1392829770\t20.690000\n1392830371\t20.620000\n1392830971\t20.620000\n1392831572\t20.620000\n1392832172\t20.500000\n1392832773\t20.500000\n1392833373\t20.380000\n1392833974\t20.190000\n1392834574\t20.120000\n1392835175\t20.190000\n1392835776\t20.190000\n1392836376\t20.190000\n1392836977\t20.190000\n1392837577\t20.190000\n1392838178\t20.190000\n1392838778\t20.120000\n1392839379\t20.190000\n1392839979\t20.190000\n1392840580\t20.120000\n1392841180\t20.190000\n1392841781\t20.310000\n1392842381\t20.310000\n1392842997\t20.380000\n1392843597\t20.310000\n1392844198\t20.380000\n1392844798\t20.380000\n1392845399\t20.310000\n1392845999\t20.380000\n1392846600\t20.310000\n1392847200\t20.310000\n1392847801\t20.310000\n1392848401\t20.250000\n1392849002\t20.310000\n1392849603\t20.250000\n1392850203\t20.310000\n1392850804\t20.250000\n1392851404\t20.250000\n1392852005\t20.380000\n1392852605\t20.250000\n1392853206\t20.250000\n1392853806\t20.190000\n1392854407\t20.190000\n1392855007\t20.190000\n1392855608\t20.120000\n1392856208\t20.120000\n1392856809\t20.120000\n1392857409\t20.000000\n1392858010\t20.000000\n1392858610\t20.060000\n1392859211\t20.060000\n1392859811\t20.120000\n1392860427\t20.190000\n1392861027\t20.250000\n1392861628\t20.190000\n1392862228\t20.190000\n1392862829\t20.310000\n1392863429\t20.310000\n1392864030\t20.310000\n1392864630\t20.250000\n1392865231\t20.250000\n1392865832\t20.310000\n1392866432\t20.310000\n1392867033\t20.310000\n1392867633\t20.250000\n1392868234\t20.380000\n1392868834\t20.250000\n1392869435\t20.310000\n1392870035\t20.310000\n1392870636\t20.380000\n1392871237\t20.310000\n1392871837\t20.380000\n1392872438\t20.310000\n1392873038\t20.380000\n1392873639\t20.310000\n1392874239\t20.310000\n1392874840\t20.380000\n1392875440\t20.380000\n1392876041\t20.310000\n1392876641\t20.250000\n1392877242\t20.310000\n1392877842\t20.380000\n1392878443\t20.440000\n1392879058\t20.310000\n1392879659\t20.310000\n1392880260\t20.310000\n1392880860\t20.310000\n1392881460\t20.310000\n1392882061\t20.310000\n1392882661\t20.310000\n1392883262\t20.250000\n1392883863\t20.250000\n1392884463\t20.310000\n1392885064\t20.060000\n1392885664\t20.060000\n1392886265\t20.120000\n1392886865\t20.000000\n1392887466\t20.000000\n1392897034\t17.380000\n1392897635\t17.690000\n1392898235\t18.000000\n1392898836\t18.190000\n1392899436\t18.380000\n1392900037\t18.500000\n1392900638\t18.620000\n1392901238\t18.750000\n1392901839\t18.810000\n1392902439\t18.880000\n1392903040\t19.000000\n1392903655\t19.000000\n1392904256\t19.060000\n1392904856\t19.120000\n1392905457\t19.190000\n1392906057\t19.120000\n1392906658\t19.120000\n1392907258\t19.120000\n1392907859\t19.120000\n1392908459\t19.120000\n1392909060\t19.120000\n1392909660\t19.060000\n1392910261\t19.060000\n1392910861\t19.060000\n1392911462\t19.060000\n1392912063\t19.060000\n1392912663\t19.000000\n1392913264\t19.000000\n1392913864\t19.060000\n1392914465\t19.060000\n1392915065\t19.060000\n1392915666\t19.060000\n1392916266\t19.060000\n1392916867\t19.060000\n1392917467\t19.060000\n1392918068\t17.940000\n1392918668\t15.560000\n1392919269\t16.440000\n1392919869\t17.250000\n1392920470\t17.690000\n1392921070\t18.000000\n1392921671\t18.190000\n1392922272\t18.310000\n1392922872\t18.380000\n1392923473\t18.500000\n1392924073\t18.560000\n1392924674\t18.620000\n1392925274\t18.620000\n1392925890\t18.690000\n1392926490\t18.690000\n1392927091\t18.750000\n1392927691\t18.750000\n1392928292\t18.750000\n1392928893\t18.810000\n1392929493\t18.810000\n1392930094\t18.880000\n1392930694\t18.880000\n1392931295\t18.880000\n1392931895\t18.880000\n1392932496\t18.880000\n1392933096\t18.940000\n1392933697\t18.940000\n1392934297\t18.940000\n1392934898\t18.940000\n1392935498\t18.940000\n1392936099\t18.940000\n1392936699\t18.940000\n1392937300\t19.000000\n1392937901\t19.000000\n1392938501\t19.000000\n1392939102\t19.000000\n1392939702\t19.000000\n1392940303\t19.000000\n1392940903\t19.000000\n1392941504\t19.000000\n1392942104\t19.000000\n1392942705\t19.000000\n1392943305\t19.000000\n1392943906\t19.000000\n1392944506\t19.000000\n1392945107\t19.000000\n1392945707\t19.000000\n1392946308\t19.000000\n1392946908\t19.000000\n1392947509\t19.000000\n1392948125\t19.000000\n1392948725\t19.000000\n1392949326\t19.000000\n1392949926\t19.000000\n1392950527\t19.000000\n1392951127\t19.000000\n1392951728\t19.000000\n1392952328\t19.000000\n1392952929\t19.000000\n1392953529\t19.000000\n1392954130\t19.000000\n1392954730\t19.000000\n1392955331\t19.000000\n1392955932\t19.000000\n1392956532\t19.000000\n1392957133\t19.000000\n1392957733\t19.000000\n1392958334\t19.000000\n1392958934\t19.000000\n1392959535\t19.000000\n1392960135\t19.000000\n1392960736\t19.000000\n1392961336\t19.000000\n1392961937\t19.000000\n1392962537\t19.000000\n1392963138\t19.000000\n1392963739\t19.000000\n1392964339\t19.000000\n1392964940\t19.000000\n1392965540\t19.000000\n1392966141\t19.000000\n1392966741\t19.000000\n1392967357\t19.000000\n1392967957\t19.000000\n1392968558\t19.000000\n1392969158\t19.000000\n1392969759\t19.000000\n1392970359\t19.000000\n1392970960\t19.000000\n1392971560\t19.000000\n1392972161\t19.000000\n1392972761\t19.000000\n1392973362\t19.000000\n1392973962\t19.060000\n1392974563\t19.000000\n1392975164\t19.060000\n1392975764\t19.060000\n1392976365\t19.060000\n1392976965\t19.060000\n1392977566\t19.060000\n1392978166\t19.060000\n1392978767\t19.060000\n1392979367\t19.060000\n1392979968\t19.000000\n1392980568\t19.000000\n1392981169\t18.940000\n1392981769\t18.880000\n1392982370\t18.940000\n1392982970\t18.880000\n1392983586\t18.880000\n1392984186\t18.880000\n1392984787\t18.940000\n1392985387\t18.880000\n1392985988\t18.880000\n1392986588\t18.810000\n1392987189\t18.750000\n1392987789\t18.750000\n1392988390\t18.750000\n1392988991\t18.750000\n1392989591\t18.810000\n1392990192\t17.880000\n1392990792\t17.310000\n1392991393\t17.810000\n1392991993\t18.000000\n1392992594\t18.310000\n1392993194\t18.500000\n1392993795\t18.750000\n1392994395\t18.620000\n1392994996\t18.810000\n1392995596\t19.000000\n1392996197\t19.060000\n1392996797\t19.120000\n1392997398\t19.250000\n1392997999\t19.250000\n1392998599\t19.380000\n1392999200\t19.440000\n1392999800\t19.500000\n1393000401\t19.500000\n1393001001\t19.500000\n1393001617\t19.560000\n1393002217\t19.560000\n1393002818\t19.560000\n1393003418\t19.560000\n1393004019\t19.620000\n1393004619\t19.620000\n1393005220\t19.620000\n1393005820\t19.620000\n1393006421\t19.620000\n1393007021\t19.620000\n1393007622\t18.750000\n1393008222\t18.620000\n1393008823\t18.620000\n1393009424\t18.560000\n1393010024\t18.500000\n1393010625\t18.440000\n1393011225\t18.380000\n1393011826\t18.380000\n1393012426\t18.380000\n1393013027\t18.310000\n1393013627\t18.310000\n1393014228\t18.310000\n1393014828\t18.310000\n1393015429\t18.310000\n1393016029\t18.310000\n1393016630\t18.310000\n1393017230\t18.310000\n1393017831\t18.310000\n1393018431\t18.310000\n1393019047\t18.310000\n1393019648\t18.310000\n1393020248\t18.310000\n1393020849\t18.310000\n1393021449\t18.310000\n1393022050\t18.310000\n1393022650\t18.310000\n1393023251\t18.310000\n1393023851\t18.310000\n1393024452\t18.310000\n1393025052\t18.310000\n1393025653\t18.310000\n1393026253\t18.310000\n1393026854\t18.250000\n1393027454\t18.250000\n1393028055\t18.250000\n1393028655\t18.310000\n1393029256\t18.310000\n1393029856\t18.310000\n1393030457\t18.310000\n1393031057\t18.310000\n1393031658\t18.310000\n1393032259\t18.310000\n1393032859\t18.310000\n1393033460\t18.310000\n1393034060\t18.310000\n1393034661\t18.310000\n1393035261\t18.310000\n1393035862\t18.380000\n1393036477\t18.380000\n1393037078\t18.310000\n1393037678\t18.380000\n1393038279\t18.310000\n1393038879\t18.310000\n1393039480\t18.250000\n1393040080\t18.190000\n1393040681\t18.190000\n1393041281\t18.190000\n1393041882\t18.250000\n1393042482\t18.250000\n1393043083\t18.310000\n1393043683\t18.310000\n1393044284\t18.310000\n1393044884\t18.310000\n1393045485\t18.380000\n1393046086\t18.380000\n1393046686\t18.250000\n1393047287\t18.000000\n1393047887\t18.000000\n1393048488\t18.060000\n1393049088\t18.190000\n1393049689\t18.190000\n1393050289\t18.250000\n1393050890\t18.250000\n1393051490\t18.250000\n1393052091\t18.190000\n1393052691\t18.120000\n1393053292\t18.120000\n1393053893\t18.120000\n1393054493\t18.000000\n1393055109\t17.940000\n1393055709\t17.880000\n1393056310\t17.940000\n1393056910\t17.810000\n1393057511\t17.750000\n1393058111\t17.690000\n1393058712\t17.560000\n1393059312\t17.560000\n1393059913\t17.690000\n1393060513\t17.690000\n1393061114\t17.690000\n1393061714\t17.620000\n1393062315\t17.620000\n1393062915\t17.620000\n1393063516\t17.690000\n1393064116\t17.620000\n1393064717\t17.620000\n1393065317\t17.560000\n1393065918\t17.500000\n1393066519\t17.440000\n1393067119\t17.440000\n1393067720\t17.440000\n1393068320\t17.310000\n1393068921\t17.380000\n1393069521\t17.250000\n1393070122\t17.190000\n1393070722\t17.190000\n1393071323\t17.190000\n1393071923\t17.120000\n1393072539\t17.120000\n1393073139\t17.190000\n1393073740\t17.190000\n1393074340\t17.120000\n1393074941\t17.120000\n1393075542\t17.190000\n1393076142\t17.060000\n1393076743\t17.120000\n1393077343\t17.120000\n1393077944\t17.060000\n1393078544\t17.060000\n1393079145\t17.060000\n1393079745\t17.060000\n1393080346\t17.000000\n1393080946\t17.000000\n1393081547\t17.060000\n1393082147\t17.120000\n1393082748\t17.190000\n1393083349\t17.190000\n1393083949\t17.000000\n1393084550\t17.060000\n1393085150\t17.000000\n1393085751\t17.060000\n1393086351\t17.060000\n1393086952\t17.060000\n1393087552\t16.940000\n1393088153\t16.880000\n1393088753\t16.880000\n1393089354\t16.880000\n1393089954\t16.880000\n1393090555\t16.880000\n1393091170\t16.810000\n1393091771\t16.690000\n1393092371\t16.690000\n1393092972\t16.690000\n1393093573\t16.620000\n1393094173\t16.620000\n1393094774\t16.620000\n1393095374\t16.560000\n1393095975\t16.620000\n1393096575\t16.620000\n1393097176\t16.620000\n1393097776\t16.560000\n1393098377\t16.560000\n1393098977\t16.500000\n1393099578\t16.500000\n1393100178\t16.440000\n1393100779\t16.440000\n1393101379\t16.440000\n1393101980\t16.440000\n1393102580\t16.560000\n1393103181\t16.500000\n1393103781\t16.500000\n1393104382\t16.500000\n1393104982\t16.500000\n1393105583\t16.500000\n1393106184\t16.500000\n1393106784\t16.560000\n1393107385\t16.620000\n1393107985\t16.620000\n1393108586\t16.690000\n1393109201\t16.750000\n1393109802\t16.810000\n1393110402\t16.810000\n1393111003\t16.750000\n1393111603\t16.810000\n1393112204\t16.750000\n1393112804\t16.750000\n1393113405\t16.750000\n1393114005\t16.810000\n1393114606\t16.810000\n1393115206\t16.750000\n1393115807\t16.810000\n1393116407\t16.810000\n1393117008\t16.810000\n1393117608\t16.880000\n1393118209\t16.940000\n1393118810\t16.940000\n1393119410\t16.810000\n1393120011\t16.810000\n1393120611\t16.810000\n1393121212\t16.750000\n1393121812\t16.810000\n1393122413\t16.750000\n1393123013\t16.750000\n1393123614\t16.750000\n1393124229\t16.810000\n1393124830\t16.880000\n1393125430\t16.880000\n1393126031\t16.810000\n1393126631\t16.750000\n1393127232\t16.750000\n1393127832\t16.690000\n1393128433\t16.620000\n1393129033\t16.620000\n1393129634\t16.620000\n1393130234\t16.620000\n1393130835\t16.560000\n1393131435\t16.690000\n1393132036\t16.750000\n1393132637\t16.810000\n1393133237\t16.810000\n1393133838\t16.810000\n1393134438\t16.810000\n1393135039\t16.880000\n1393135639\t16.880000\n1393136240\t16.880000\n1393136840\t16.880000\n1393137441\t16.940000\n1393138041\t16.880000\n1393138642\t16.880000\n1393139242\t16.880000\n1393139843\t16.940000\n1393140444\t16.940000\n1393141044\t16.940000\n1393141645\t16.880000\n1393142260\t16.810000\n1393142861\t16.880000\n1393143461\t16.810000\n1393144062\t16.810000\n1393144662\t16.690000\n1393145263\t16.750000\n1393145863\t16.620000\n1393146464\t16.690000\n1393147064\t16.810000\n1393147665\t16.690000\n1393148265\t16.750000\n1393148866\t16.750000\n1393149466\t16.750000\n1393150067\t16.750000\n1393150668\t16.750000\n1393151268\t16.750000\n1393151869\t16.810000\n1393152469\t16.690000\n1393153070\t16.620000\n1393153670\t16.690000\n1393154271\t16.690000\n1393154871\t16.690000\n1393155472\t16.690000\n1393156072\t16.690000\n1393156673\t16.750000\n1393157273\t16.750000\n1393157874\t16.690000\n1393158474\t16.690000\n1393159075\t16.750000\n1393159675\t16.880000\n1393160276\t16.880000\n1393160891\t16.880000\n1393161492\t16.810000\n1393162093\t16.810000\n1393162693\t16.880000\n1393163294\t16.880000\n1393163894\t16.940000\n1393164495\t17.000000\n1393165095\t16.940000\n1393165696\t16.880000\n1393166296\t16.940000\n1393166897\t16.940000\n1393167497\t17.000000\n1393168098\t17.060000\n1393168698\t17.120000\n1393169299\t17.190000\n1393169899\t17.190000\n1393170500\t17.120000\n1393171100\t17.060000\n1393171701\t17.060000\n1393172301\t17.120000\n1393172902\t17.060000\n1393173502\t17.120000\n1393174103\t17.120000\n1393174703\t17.190000\n1393175304\t17.250000\n1393175905\t17.250000\n1393176505\t17.250000\n1393177121\t17.250000\n1393177721\t17.310000\n1393178322\t17.380000\n1393178922\t17.380000\n1393179523\t17.380000\n1393180123\t17.380000\n1393180724\t17.380000\n1393181324\t17.310000\n1393181925\t17.310000\n1393182525\t17.250000\n1393183126\t17.190000\n1393183726\t17.120000\n1393184327\t17.060000\n1393184927\t17.000000\n1393185528\t16.940000\n1393186128\t16.940000\n1393186729\t16.880000\n1393187329\t16.810000\n1393187930\t16.810000\n1393188530\t16.750000\n1393189131\t16.750000\n1393189732\t16.750000\n1393190332\t16.690000\n1393190933\t16.690000\n1393191533\t16.620000\n1393192134\t16.690000\n1393192734\t16.620000\n1393193335\t16.690000\n1393193935\t16.620000\n1393194536\t16.620000\n1393195136\t16.690000\n1393195752\t16.690000\n1393196352\t16.690000\n1393196953\t16.690000\n1393197553\t16.690000\n1393198154\t16.620000\n1393198755\t16.690000\n1393199355\t16.690000\n1393199956\t16.690000\n1393200556\t16.750000\n1393201157\t16.750000\n1393201757\t16.750000\n1393202358\t16.750000\n1393202958\t16.750000\n1393203559\t16.750000\n1393204159\t16.690000\n1393204760\t16.690000\n1393205360\t16.620000\n1393205961\t16.620000\n1393206561\t16.620000\n1393207162\t16.620000\n1393207762\t16.560000\n1393208363\t16.620000\n1393208963\t16.620000\n1393209564\t16.620000\n1393210164\t16.690000\n1393210765\t16.690000\n1393211365\t16.690000\n1393211966\t16.690000\n1393212566\t16.690000\n1393213167\t16.620000\n1393213782\t16.690000\n1393214383\t16.620000\n1393214983\t16.690000\n1393215584\t16.690000\n1393216185\t16.750000\n1393216785\t16.750000\n1393217386\t16.690000\n1393217986\t16.690000\n1393218587\t16.750000\n1393219187\t16.750000\n1393219788\t16.810000\n1393220388\t16.810000\n1393220989\t16.810000\n1393221589\t16.810000\n1393222190\t16.810000\n1393222790\t16.810000\n1393223391\t16.880000\n1393223991\t16.940000\n1393224592\t17.000000\n1393225192\t17.000000\n1393225793\t17.000000\n1393226394\t17.060000\n1393226994\t17.060000\n1393227595\t17.120000\n1393228195\t17.120000\n1393228796\t17.120000\n1393229396\t17.060000\n1393229997\t17.120000\n1393230597\t17.120000\n1393231198\t17.190000\n1393231798\t17.190000\n1393232414\t17.120000\n1393233014\t17.190000\n1393233615\t17.190000\n1393234216\t17.190000\n1393234816\t17.250000\n1393235417\t17.310000\n1393236017\t17.310000\n1393236618\t17.310000\n1393237218\t17.310000\n1393237819\t17.310000\n1393238419\t17.310000\n1393239020\t17.250000\n1393239620\t17.250000\n1393240221\t17.190000\n1393240822\t17.190000\n1393241422\t17.250000\n1393242023\t17.310000\n1393242623\t17.310000\n1393243224\t17.310000\n1393243824\t17.310000\n1393244425\t17.380000\n1393245025\t17.310000\n1393245626\t17.310000\n1393246227\t17.310000\n1393246827\t17.310000\n1393247428\t17.380000\n1393248028\t17.250000\n1393248644\t17.250000\n1393249244\t17.250000\n1393249845\t17.380000\n1393250445\t17.440000\n1393251046\t17.440000\n1393251646\t17.500000\n1393252247\t17.500000\n1393252847\t17.620000\n1393253448\t17.690000\n1393254048\t17.750000\n1393254649\t17.810000\n1393255250\t17.880000\n1393255850\t17.810000\n1393256451\t17.880000\n1393257051\t17.940000\n1393257652\t17.880000\n1393258252\t17.880000\n1393258853\t17.940000\n1393259453\t17.940000\n1393260054\t17.880000\n1393260654\t18.000000\n1393261255\t18.000000\n1393261855\t17.940000\n1393262456\t17.940000\n1393263056\t18.120000\n1393263657\t18.250000\n1393264258\t18.250000\n1393264858\t18.310000\n1393265459\t18.310000\n1393266059\t18.060000\n1393266675\t18.060000\n1393267275\t18.120000\n1393267876\t18.060000\n1393268476\t18.000000\n1393269077\t18.000000\n1393269677\t18.060000\n1393270278\t18.120000\n1393270878\t18.120000\n1393271479\t18.060000\n1393272079\t18.000000\n1393272680\t18.000000\n1393273280\t18.000000\n1393273881\t17.940000\n1393274481\t18.000000\n1393275082\t18.000000\n1393275682\t18.000000\n1393276283\t18.000000\n1393276884\t18.120000\n1393277484\t18.190000\n1393278085\t18.310000\n1393278685\t18.380000\n1393279286\t18.440000\n1393279886\t18.440000\n1393280487\t18.440000\n1393281087\t18.500000\n1393281688\t18.560000\n1393282288\t18.620000\n1393282889\t18.560000\n1393283504\t18.560000\n1393284105\t18.560000\n1393284705\t18.500000\n1393285306\t18.440000\n1393285907\t18.310000\n1393286507\t18.380000\n1393287108\t18.440000\n1393287708\t18.500000\n1393288309\t18.500000\n1393288909\t18.440000\n1393289510\t18.440000\n1393290110\t18.440000\n1393290711\t18.500000\n1393291311\t18.560000\n1393291912\t18.560000\n1393292512\t18.560000\n1393293113\t18.620000\n1393293713\t18.690000\n1393294314\t18.620000\n1393294914\t18.500000\n1393295515\t18.440000\n1393296115\t18.440000\n1393296716\t18.440000\n1393297316\t18.500000\n1393297917\t18.500000\n1393298518\t18.500000\n1393299118\t18.500000\n1393299719\t18.620000\n1393300319\t18.500000\n1393300920\t18.500000\n1393301520\t18.440000\n1393302121\t18.440000\n1393302736\t18.380000\n1393303337\t18.310000\n1393303937\t18.380000\n1393304538\t18.380000\n1393305138\t18.250000\n1393305739\t18.250000\n1393306339\t18.250000\n1393306940\t18.310000\n1393307525\t18.310000\n1393308141\t18.440000\n1393308756\t18.560000\n1393309357\t18.620000\n1393309957\t18.620000\n1393310558\t18.620000\n1393311158\t18.750000\n1393311759\t18.750000\n1393312359\t18.750000\n1393312960\t18.750000\n1393313560\t18.690000\n1393314161\t18.690000\n1393314761\t18.750000\n1393315362\t18.750000\n1393315962\t18.810000\n1393316563\t18.810000\n1393317163\t18.810000\n1393317764\t18.880000\n1393318364\t18.880000\n1393318965\t18.880000\n1393319565\t18.880000\n1393320166\t18.940000\n1393320766\t18.940000\n1393321367\t18.940000\n1393321967\t18.940000\n1393322568\t18.940000\n1393323168\t18.940000\n1393323769\t18.940000\n1393324369\t19.000000\n1393324970\t19.000000\n1393325570\t19.000000\n1393326171\t19.000000\n1393326771\t19.000000\n1393327372\t19.000000\n1393327972\t19.060000\n1393328573\t19.000000\n1393329173\t19.060000\n1393329789\t19.060000\n1393330389\t19.060000\n1393330990\t19.060000\n1393331590\t19.060000\n1393332191\t19.060000\n1393332791\t19.060000\n1393333392\t19.060000\n1393333992\t19.060000\n1393334593\t19.120000\n1393335193\t19.120000\n1393335794\t19.120000\n1393336394\t19.120000\n1393336995\t19.120000\n1393337595\t19.120000\n1393338196\t19.120000\n1393338796\t19.190000\n1393339397\t19.250000\n1393339997\t19.190000\n1393340598\t19.190000\n1393341199\t19.190000\n1393341799\t19.190000\n1393342399\t19.190000\n1393343000\t19.250000\n1393343600\t19.250000\n1393344201\t19.250000\n1393344801\t19.250000\n1393345402\t19.250000\n1393346002\t19.250000\n1393346603\t19.250000\n1393347203\t19.250000\n1393347804\t19.250000\n1393348404\t19.250000\n1393349020\t19.250000\n1393349620\t19.250000\n1393350221\t19.250000\n1393350821\t19.250000\n1393351422\t19.250000\n1393352022\t19.250000\n1393352623\t19.250000\n1393353223\t19.250000\n1393353824\t19.250000\n1393354424\t19.250000\n1393355025\t19.250000\n1393355625\t19.310000\n1393356226\t19.310000\n1393356826\t19.250000\n1393357427\t19.310000\n1393358027\t19.310000\n1393358628\t19.310000\n1393359228\t19.310000\n1393359829\t19.310000\n1393360429\t19.310000\n1393361030\t19.310000\n1393361630\t19.310000\n1393362231\t19.310000\n1393362831\t19.380000\n1393363432\t19.310000\n1393364032\t19.380000\n1393364633\t19.380000\n1393365233\t19.250000\n1393365834\t19.250000\n1393366434\t19.310000\n1393367050\t19.310000\n1393367650\t19.380000\n1393368251\t19.310000\n1393368851\t19.310000\n1393369452\t19.380000\n1393370052\t19.380000\n1393370653\t19.380000\n1393371253\t19.440000\n1393371854\t19.440000\n1393372454\t19.440000\n1393373055\t19.440000\n1393373655\t19.440000\n1393374256\t19.440000\n1393374856\t19.440000\n1393375457\t19.440000\n1393376057\t19.500000\n1393376658\t19.500000\n1393377258\t19.500000\n1393377859\t19.500000\n1393378459\t19.500000\n1393379060\t19.500000\n1393379660\t19.500000\n1393380261\t19.500000\n1393380861\t19.500000\n1393381462\t19.500000\n1393382062\t19.500000\n1393382663\t19.560000\n1393383263\t19.560000\n1393383864\t19.500000\n1393384464\t19.500000\n1393385065\t19.560000\n1393385665\t19.500000\n1393386266\t19.560000\n1393386866\t19.560000\n1393387482\t19.500000\n1393388082\t19.500000\n1393388683\t19.560000\n1393389283\t19.500000\n1393389884\t19.560000\n1393390484\t19.560000\n1393391085\t19.500000\n1393391685\t19.560000\n1393392286\t19.560000\n1393392886\t19.500000\n1393393487\t19.500000\n1393394087\t19.560000\n1393394688\t19.560000\n1393395288\t19.560000\n1393395889\t19.560000\n1393396489\t19.500000\n1393397090\t19.560000\n1393397690\t19.560000\n1393398291\t19.560000\n1393398891\t19.560000\n1393399492\t19.560000\n1393400092\t19.310000\n1393400693\t19.310000\n1393401293\t19.380000\n1393401894\t19.440000\n1393402494\t19.440000\n1393403110\t19.500000\n1393403710\t19.500000\n1393404311\t19.500000\n1393404911\t19.560000\n1393405512\t19.560000\n1393406112\t19.500000\n1393406713\t19.500000\n1393407313\t19.560000\n1393407914\t19.500000\n1393408514\t19.560000\n1393409115\t19.560000\n1393409715\t19.560000\n1393410316\t19.560000\n1393410916\t19.560000\n1393411517\t19.560000\n1393412117\t19.560000\n1393412718\t19.560000\n1393413318\t19.560000\n1393413919\t19.560000\n1393414519\t19.560000\n1393415120\t19.560000\n1393415720\t19.560000\n1393416321\t19.560000\n1393416921\t19.560000\n1393417522\t18.000000\n1393418122\t15.440000\n1393418723\t16.190000\n1393419323\t17.560000\n1393419924\t18.380000\n1393420524\t18.750000\n1393421125\t19.060000\n1393421740\t19.250000\n1393422341\t19.380000\n1393422941\t19.500000\n1393423542\t19.620000\n1393424142\t19.690000\n1393424743\t19.690000\n1393425330\t19.690000\n1393427786\t19.880000\n1393428402\t19.940000\n1393429002\t19.940000\n1393429603\t19.940000\n1393430203\t20.000000\n1393430804\t20.000000\n1393431404\t20.000000\n1393432005\t20.060000\n1393432605\t20.060000\n1393433206\t20.060000\n1393433806\t20.060000\n1393434407\t20.060000\n1393435007\t20.060000\n1393435608\t20.120000\n1393436208\t20.120000\n1393436809\t20.120000\n1393437409\t20.120000\n1393438010\t20.120000\n1393438610\t20.120000\n1393439211\t20.120000\n1393439811\t20.120000\n1393440412\t20.120000\n1393441012\t20.120000\n1393441613\t20.120000\n1393442213\t20.120000\n1393442814\t20.120000\n1393443414\t20.190000\n1393444015\t20.190000\n1393444615\t20.190000\n1393445216\t20.190000\n1393445816\t20.190000\n1393446417\t20.190000\n1393447017\t20.190000\n1393447618\t20.190000\n1393448218\t20.190000\n1393448834\t20.190000\n1393449434\t20.190000\n1393450035\t20.250000\n1393450635\t20.190000\n1393451236\t20.250000\n1393451836\t20.250000\n1393452437\t20.190000\n1393453037\t20.190000\n1393453638\t20.190000\n1393454238\t20.190000\n1393454839\t20.250000\n1393455439\t20.190000\n1393456040\t20.120000\n1393456642\t20.120000\n1393457243\t20.190000\n1393457843\t20.250000\n1393458444\t20.250000\n1393459044\t20.250000\n1393459645\t20.250000\n1393460245\t20.250000\n1393460846\t20.250000\n1393461446\t20.250000\n1393462047\t20.250000\n1393462647\t20.250000\n1393463248\t20.310000\n1393463848\t20.250000\n1393464449\t20.190000\n1393465049\t20.250000\n1393465650\t20.250000\n1393466250\t20.250000\n1393466851\t20.250000\n1393467451\t20.250000\n1393468052\t20.190000\n1393468652\t20.250000\n1393469253\t20.190000\n1393469868\t20.250000\n1393470469\t20.190000\n1393471069\t20.190000\n1393471670\t20.250000\n1393472270\t20.250000\n1393472871\t20.250000\n1393473471\t20.250000\n1393474072\t20.310000\n1393474672\t20.310000\n1393475273\t20.310000\n1393475873\t20.310000\n1393476474\t20.310000\n1393477074\t20.310000\n1393477675\t20.310000\n1393478275\t20.310000\n1393478876\t20.310000\n1393479476\t20.310000\n1393480077\t20.310000\n1393480677\t20.310000\n1393481278\t20.310000\n1393481878\t20.310000\n1393482479\t20.310000\n1393483079\t20.310000\n1393483679\t20.310000\n1393484280\t20.310000\n1393484880\t20.310000\n1393485481\t20.310000\n1393486082\t20.310000\n1393486682\t20.380000\n1393487283\t20.310000\n1393487883\t20.310000\n1393488484\t20.310000\n1393489099\t20.380000\n1393489700\t20.310000\n1393490300\t20.310000\n1393490900\t20.310000\n1393491501\t20.310000\n1393492101\t20.380000\n1393492702\t20.380000\n1393493303\t20.380000\n1393493903\t20.380000\n1393494504\t20.380000\n1393495104\t20.380000\n1393495705\t20.310000\n1393496305\t20.310000\n1393496905\t20.380000\n1393497506\t20.380000\n1393498106\t20.380000\n1393498707\t20.380000\n1393499307\t20.380000\n1393499908\t20.380000\n1393500508\t20.380000\n1393501109\t20.380000\n1393501709\t20.380000\n1393502310\t20.380000\n1393502910\t20.380000\n1393503511\t20.380000\n1393504111\t20.380000\n1393504712\t20.380000\n1393505312\t20.380000\n1393505913\t20.380000\n1393506513\t20.380000\n1393507114\t20.380000\n1393507714\t20.440000\n1393508330\t20.440000\n1393508931\t20.380000\n1393509531\t20.440000\n1393510131\t20.440000\n1393510732\t20.440000\n1393511333\t20.440000\n1393511933\t20.440000\n1393512534\t20.440000\n1393513134\t20.440000\n1393513735\t20.440000\n1393514335\t20.440000\n1393514936\t20.440000\n1393515536\t20.440000\n1393516137\t20.440000\n1393516737\t20.440000\n1393517338\t20.440000\n1393517938\t20.440000\n1393518539\t20.440000\n1393519139\t20.440000\n1393519740\t20.440000\n1393520340\t20.440000\n1393520941\t20.440000\n1393521541\t20.440000\n1393522142\t20.440000\n1393522742\t20.440000\n1393523343\t20.440000\n1393523943\t20.440000\n1393524544\t20.440000\n1393525144\t20.440000\n1393525745\t20.440000\n1393526345\t20.440000\n1393526946\t20.440000\n1393527561\t20.440000\n1393528162\t20.440000\n1393528762\t20.440000\n1393529363\t20.440000\n1393529963\t20.440000\n1393530564\t20.440000\n1393531164\t20.440000\n1393531765\t20.440000\n1393532365\t20.440000\n1393532966\t20.440000\n1393533566\t20.440000\n1393534167\t20.440000\n1393534767\t20.440000\n1393535368\t20.500000\n1393535968\t20.500000\n1393536569\t20.500000\n1393537169\t20.500000\n1393537770\t20.500000\n1393538370\t20.440000\n1393538971\t20.500000\n1393539571\t20.440000\n1393540172\t20.440000\n1393540772\t20.500000\n1393541373\t20.440000\n1393541973\t20.500000\n1393542574\t20.440000\n1393543174\t20.500000\n1393543775\t20.500000\n1393544375\t20.500000\n1393544976\t20.440000\n1393545576\t20.440000\n1393546177\t20.440000\n1393546777\t20.440000\n1393547378\t20.440000\n1393547993\t20.440000\n1393548594\t20.440000\n1393549194\t20.440000\n1393549795\t20.440000\n1393550395\t20.440000\n1393550996\t20.440000\n1393551596\t20.380000\n1393552197\t20.440000\n1393552797\t20.440000\n1393553398\t20.440000\n1393553998\t20.440000\n1393554599\t20.440000\n1393555199\t20.440000\n1393555800\t20.500000\n1393556400\t20.440000\n1393557001\t20.440000\n1393557601\t20.440000\n1393558202\t20.440000\n1393558802\t20.440000\n1393559403\t20.440000\n1393560003\t20.440000\n1393560604\t20.440000\n1393561204\t20.440000\n1393561805\t20.440000\n1393562406\t20.440000\n1393563006\t20.440000\n1393563606\t20.440000\n1393564207\t20.440000\n1393564807\t20.440000\n1393565408\t20.500000\n1393566008\t20.500000\n1393566609\t20.440000\n1393567209\t20.440000\n1393567825\t20.500000\n1393568425\t20.500000\n1393569026\t20.500000\n1393569626\t20.500000\n1393570227\t20.500000\n1393570827\t20.500000\n1393571428\t20.500000\n1393572028\t20.500000\n1393572629\t20.500000\n1393573229\t20.440000\n1393573830\t20.500000\n1393574430\t20.440000\n1393575031\t20.440000\n1393575631\t20.440000\n1393576232\t20.440000\n1393576832\t20.440000\n1393577433\t20.440000\n1393578033\t20.440000\n1393578634\t20.440000\n1393579234\t20.440000\n1393579835\t20.440000\n1393580435\t20.440000\n1393581036\t20.440000\n1393581636\t20.440000\n1393582237\t20.380000\n1393582837\t20.380000\n1393583438\t20.380000\n1393584038\t20.380000\n1393584639\t20.380000\n1393585239\t20.380000\n1393585855\t20.380000\n1393586455\t20.380000\n1393587056\t20.380000\n1393587656\t20.440000\n1393588257\t20.440000\n1393588857\t20.440000\n1393589458\t20.440000\n1393590058\t19.000000\n1393590659\t19.310000\n1393591259\t19.440000\n1393591860\t19.500000\n1393592460\t19.500000\n1393593061\t19.500000\n1393593661\t19.560000\n1393594262\t19.560000\n1393594862\t19.560000\n1393595463\t19.560000\n1393596063\t19.560000\n1393596664\t19.560000\n1393597264\t19.500000\n1393597865\t19.560000\n1393598465\t19.560000\n1393599066\t19.560000\n1393599666\t19.560000\n1393600267\t19.560000\n1393600867\t19.560000\n1393601483\t19.560000\n1393602083\t19.560000\n1393602684\t19.560000\n1393603284\t19.560000\n1393603885\t19.560000\n1393604485\t19.560000\n1393605086\t19.560000\n1393605686\t19.620000\n1393606287\t19.560000\n1393606887\t19.620000\n1393607488\t19.620000\n1393608088\t19.560000\n1393608689\t19.620000\n1393609289\t19.620000\n1393609890\t19.560000\n1393610490\t19.620000\n1393611091\t19.560000\n1393611691\t19.560000\n1393612292\t19.620000\n1393612892\t19.620000\n1393613493\t19.620000\n1393614093\t19.620000\n1393614694\t19.620000\n1393615294\t19.560000\n1393615895\t19.620000\n1393616495\t19.560000\n1393617096\t19.560000\n1393617696\t19.560000\n1393618297\t19.560000\n1393618912\t19.560000\n1393619513\t19.560000\n1393620114\t19.560000\n1393620714\t19.560000\n1393621315\t19.620000\n1393621915\t19.620000\n1393622516\t19.620000\n1393623116\t19.620000\n1393623717\t19.620000\n1393624317\t19.620000\n1393624918\t19.560000\n1393625518\t19.560000\n1393626119\t19.560000\n1393626719\t19.560000\n1393627320\t19.560000\n1393627920\t19.560000\n1393628521\t19.560000\n1393629121\t19.560000\n1393629722\t19.560000\n1393630322\t19.560000\n1393630923\t19.620000\n1393631523\t19.560000\n1393632124\t19.560000\n1393632724\t19.560000\n1393633325\t19.560000\n1393633925\t19.560000\n1393634526\t19.560000\n1393635126\t19.560000\n1393635742\t19.500000\n1393636342\t19.560000\n1393636943\t19.560000\n1393637543\t19.560000\n1393638144\t19.500000\n1393638744\t19.500000\n1393639345\t19.500000\n1393639945\t19.500000\n1393640546\t19.440000\n1393641146\t19.440000\n1393641747\t19.440000\n1393642347\t19.440000\n1393642948\t19.500000\n1393643548\t19.440000\n1393644149\t19.440000\n1393644749\t19.380000\n1393645350\t19.440000\n1393645950\t19.380000\n1393646551\t19.380000\n1393647151\t19.380000\n1393647752\t19.380000\n1393648352\t19.440000\n1393648953\t19.440000\n1393649553\t19.380000\n1393650154\t19.440000\n1393650754\t19.440000\n1393651355\t19.440000\n1393651955\t19.440000\n1393652571\t19.440000\n1393653171\t19.440000\n1393653772\t19.440000\n1393654372\t19.380000\n1393654973\t19.380000\n1393655573\t19.380000\n1393656174\t19.380000\n1393656774\t19.380000\n1393657375\t19.380000\n1393657975\t19.310000\n1393658576\t19.380000\n1393659176\t19.310000\n1393659777\t19.380000\n1393660377\t19.310000\n1393660978\t19.310000\n1393661578\t19.310000\n1393662179\t19.310000\n1393662779\t19.310000\n1393663380\t19.380000\n1393663980\t19.310000\n1393664581\t19.380000\n1393665181\t19.380000\n1393665782\t19.310000\n1393666382\t19.310000\n1393666983\t19.310000\n1393667583\t19.310000\n1393668184\t19.380000\n1393668784\t19.310000\n1393669385\t19.310000\n1393670000\t19.380000\n1393670601\t19.380000\n1393671201\t19.380000\n1393671802\t19.380000\n1393672402\t19.310000\n1393673003\t19.310000\n1393673603\t19.310000\n1393674204\t19.310000\n1393674804\t19.380000\n1393675405\t19.380000\n1393676005\t19.380000\n1393676606\t19.380000\n1393677206\t19.380000\n1393677807\t19.440000\n1393678407\t19.380000\n1393679008\t19.380000\n1393679608\t19.380000\n1393680209\t19.440000\n1393680809\t19.440000\n1393681410\t19.440000\n1393682010\t19.440000\n1393682611\t19.440000\n1393683211\t19.380000\n1393683812\t19.380000\n1393684412\t19.380000\n1393685013\t19.380000\n1393685613\t19.380000\n1393686214\t19.380000\n1393686814\t19.380000\n1393687430\t19.310000\n1393688030\t19.310000\n1393688631\t19.310000\n1393689231\t19.310000\n1393689832\t19.310000\n1393690432\t19.310000\n1393691033\t19.310000\n1393691633\t19.250000\n1393692234\t19.310000\n1393692834\t19.310000\n1393693435\t19.310000\n1393694035\t19.310000\n1393694636\t19.310000\n1393695236\t19.310000\n1393695837\t19.310000\n1393696437\t19.310000\n1393697038\t19.380000\n1393697638\t19.380000\n1393698239\t19.380000\n1393698839\t19.380000\n1393699440\t19.380000\n1393700040\t19.380000\n1393700641\t19.380000\n1393701241\t19.440000\n1393701842\t19.380000\n1393702442\t19.440000\n1393703043\t19.380000\n1393703643\t19.440000\n1393704244\t19.440000\n1393704844\t19.440000\n1393705460\t19.440000\n1393706060\t19.440000\n1393706661\t19.440000\n1393707261\t19.440000\n1393707862\t19.440000\n1393708462\t19.440000\n1393709063\t19.440000\n1393709664\t19.380000\n1393710264\t19.380000\n1393710865\t19.440000\n1393711465\t19.380000\n1393712066\t19.380000\n1393712666\t19.380000\n1393713267\t19.380000\n1393713867\t19.380000\n1393714468\t19.380000\n1393715068\t19.440000\n1393715669\t19.380000\n1393716269\t19.380000\n1393716870\t19.440000\n1393717470\t19.440000\n1393718071\t19.440000\n1393718671\t19.440000\n1393719272\t19.440000\n1393719872\t19.440000\n1393720473\t19.440000\n1393721074\t19.440000\n1393721674\t19.440000\n1393722275\t19.440000\n1393722875\t19.440000\n1393723491\t19.440000\n1393724091\t19.440000\n1393724692\t19.440000\n1393725292\t19.440000\n1393725893\t19.440000\n1393726493\t19.440000\n1393727094\t19.440000\n1393727694\t19.440000\n1393728295\t19.440000\n1393728895\t19.440000\n1393729496\t19.440000\n1393730096\t19.440000\n1393730697\t19.440000\n1393731297\t19.440000\n1393731898\t19.440000\n1393732498\t19.440000\n1393733099\t19.440000\n1393733699\t19.380000\n1393734300\t19.380000\n1393734900\t19.380000\n1393735501\t19.380000\n1393736101\t19.440000\n1393736702\t19.380000\n1393737302\t19.380000\n1393737903\t19.380000\n1393738503\t19.380000\n1393739104\t19.380000\n1393739704\t19.380000\n1393740305\t19.380000\n1393740920\t19.380000\n1393741521\t19.380000\n1393742121\t19.380000\n1393742722\t19.380000\n1393743323\t19.380000\n1393743923\t19.380000\n1393744524\t19.380000\n1393745124\t19.310000\n1393745725\t19.380000\n1393746325\t19.380000\n1393746926\t19.310000\n1393747526\t19.380000\n1393748127\t19.380000\n1393748727\t19.380000\n1393749328\t19.310000\n1393749928\t19.380000\n1393750529\t19.310000\n1393751129\t19.310000\n1393751730\t19.380000\n1393752330\t19.310000\n1393752931\t19.310000\n1393753531\t19.310000\n1393754132\t19.250000\n1393754732\t19.310000\n1393755333\t19.250000\n1393755949\t19.250000\n1393756549\t19.250000\n1393757150\t19.250000\n1393757750\t19.250000\n1393758351\t19.250000\n1393758951\t19.250000\n1393759552\t19.250000\n1393760152\t19.250000\n1393760753\t19.250000\n1393761353\t19.250000\n1393761954\t19.250000\n1393762554\t19.190000\n1393763155\t19.190000\n1393763755\t19.190000\n1393764356\t19.190000\n1393764956\t19.190000\n1393765557\t18.880000\n1393766157\t19.000000\n1393766758\t19.120000\n1393767358\t19.120000\n1393767959\t19.190000\n1393768560\t19.190000\n1393769160\t19.250000\n1393769761\t19.250000\n1393770361\t19.310000\n1393770962\t19.250000\n1393771562\t19.250000\n1393772163\t19.250000\n1393772763\t18.120000\n1393774039\t18.500000\n1393774640\t18.880000\n1393775240\t19.060000\n1393775841\t19.190000\n1393776442\t19.310000\n1393777042\t19.380000\n1393777643\t19.440000\n1393778243\t19.440000\n1393778844\t19.500000\n1393779444\t19.560000\n1393780045\t19.560000\n1393780645\t19.560000\n1393781246\t19.620000\n1393781847\t19.620000\n1393782447\t19.690000\n1393783048\t19.690000\n1393783648\t19.690000\n1393784249\t19.380000\n1393784849\t19.380000\n1393785450\t19.310000\n1393786050\t19.310000\n1393786651\t19.310000\n1393787251\t19.250000\n1393787852\t19.250000\n1393788452\t19.250000\n1393789068\t19.250000\n1393789669\t19.250000\n1393790269\t19.190000\n1393790870\t19.250000\n1393791470\t19.250000\n1393792071\t19.250000\n1393792671\t19.250000\n1393793272\t19.250000\n1393793872\t19.250000\n1393794473\t19.250000\n1393795074\t19.250000\n1393795674\t19.250000\n1393796275\t19.250000\n1393796875\t19.250000\n1393797476\t19.250000\n1393798076\t19.310000\n1393798677\t19.250000\n1393799277\t19.310000\n1393799878\t19.310000\n1393800479\t19.310000\n1393801079\t19.310000\n1393801680\t19.310000\n1393802280\t19.310000\n1393802881\t19.310000\n1393803481\t19.310000\n1393804082\t19.310000\n1393804682\t19.310000\n1393805283\t19.310000\n1393805883\t19.380000\n1393806484\t19.310000\n1393807085\t19.310000\n1393807685\t19.310000\n1393808286\t19.310000\n1393808886\t19.380000\n1393809487\t19.380000\n1393810087\t19.380000\n1393810688\t19.310000\n1393811288\t19.310000\n1393811904\t19.380000\n1393812505\t19.380000\n1393813105\t19.380000\n1393813706\t19.380000\n1393814306\t19.380000\n1393814907\t19.380000\n1393815507\t19.310000\n1393816108\t19.380000\n1393816709\t19.380000\n1393817309\t19.380000\n1393817910\t19.380000\n1393818510\t19.380000\n1393819111\t19.380000\n1393819711\t19.310000\n1393820312\t19.310000\n1393820912\t19.310000\n1393821513\t19.310000\n1393822114\t19.310000\n1393822714\t19.380000\n1393823315\t19.310000\n1393823915\t19.310000\n1393824516\t19.380000\n1393825116\t19.310000\n1393825717\t19.310000\n1393826317\t19.380000\n1393826918\t19.380000\n1393827519\t19.310000\n1393828119\t19.310000\n1393828720\t19.310000\n1393829320\t19.310000\n1393829921\t19.310000\n1393830521\t19.310000\n1393831122\t19.310000\n1393831722\t19.310000\n1393832323\t19.250000\n1393832924\t19.310000\n1393833539\t19.250000\n1393834140\t19.250000\n1393834740\t19.310000\n1393835341\t19.250000\n1393835941\t19.250000\n1393836542\t19.250000\n1393837143\t19.250000\n1393837743\t19.310000\n1393838344\t19.310000\n1393838944\t19.310000\n1393839545\t19.310000\n1393840145\t19.310000\n1393840746\t19.310000\n1393841346\t19.380000\n1393841947\t19.380000\n1393842548\t19.380000\n1393843148\t19.380000\n1393843749\t19.380000\n1393844349\t19.380000\n1393844950\t19.380000\n1393845550\t19.380000\n1393846151\t19.440000\n1393846751\t19.440000\n1393847352\t19.440000\n1393847952\t19.440000\n1393848553\t19.440000\n1393849154\t19.440000\n1393849754\t19.440000\n1393850355\t19.440000\n1393850955\t19.380000\n1393851571\t19.440000\n1393852171\t19.440000\n1393852772\t19.440000\n1393853372\t19.440000\n1393853973\t19.440000\n1393854574\t19.440000\n1393855174\t19.440000\n1393855775\t19.440000\n1393856375\t19.440000\n1393856976\t19.440000\n1393857576\t19.440000\n1393858177\t19.440000\n1393858777\t19.440000\n1393859378\t19.380000\n1393859979\t19.380000\n1393860579\t19.380000\n1393861180\t19.380000\n1393861780\t19.380000\n1393862381\t19.380000\n1393862981\t19.310000\n1393863582\t19.310000\n1393864183\t19.250000\n1393864783\t19.250000\n1393865384\t19.250000\n1393865984\t19.250000\n1393866585\t19.250000\n1393867185\t19.250000\n1393867786\t19.250000\n1393868386\t19.250000\n1393868987\t19.250000\n1393869588\t19.250000\n1393870203\t19.250000\n1393870804\t19.250000\n1393871404\t19.250000\n1393872005\t19.250000\n1393872605\t19.250000\n1393873206\t19.190000\n1393873806\t19.190000\n1393874407\t19.250000\n1393875008\t19.250000\n1393875608\t19.250000\n1393876209\t19.250000\n1393876809\t19.250000\n1393877410\t19.250000\n1393878010\t19.310000\n1393878611\t19.310000\n1393879211\t19.310000\n1393879812\t19.310000\n1393880413\t19.310000\n1393881013\t19.310000\n1393881614\t19.310000\n1393882214\t19.250000\n1393882815\t19.250000\n1393883415\t19.250000\n1393884016\t19.310000\n1393884616\t19.310000\n1393885232\t19.310000\n1393885832\t19.380000\n1393886433\t19.310000\n1393887034\t19.380000\n1393887634\t19.380000\n1393888235\t19.380000\n1393888835\t19.310000\n1393889436\t19.310000\n1393890036\t19.310000\n1393890637\t19.310000\n1393891237\t19.310000\n1393891838\t19.250000\n1393892438\t19.310000\n1393893039\t19.310000\n1393893640\t19.310000\n1393894240\t19.310000\n1393894841\t19.310000\n1393895441\t19.310000\n1393896042\t19.310000\n1393896642\t19.310000\n1393897243\t19.310000\n1393897843\t19.310000\n1393898444\t19.380000\n1393899045\t19.310000\n1393899645\t19.380000\n1393900246\t19.310000\n1393900846\t19.380000\n1393901447\t19.380000\n1393902047\t19.380000\n1393902663\t19.380000\n1393903263\t19.380000\n1393903864\t19.380000\n1393904465\t19.380000\n1393905065\t19.380000\n1393905666\t19.380000\n1393906266\t19.380000\n1393906867\t19.380000\n1393907467\t19.380000\n1393908068\t19.380000\n1393908669\t19.380000\n1393909269\t19.380000\n1393909870\t19.380000\n1393910470\t19.380000\n1393911071\t19.380000\n1393911671\t19.380000\n1393912272\t19.380000\n1393912872\t19.380000\n1393913473\t19.380000\n1393914074\t19.310000\n1393914674\t19.310000\n1393915275\t19.380000\n1393915875\t19.310000\n1393916476\t19.380000\n1393917076\t19.380000\n1393917677\t19.310000\n1393918277\t19.310000\n1393918878\t19.250000\n1393919478\t19.310000\n1393920079\t19.380000\n1393920680\t19.310000\n1393921280\t19.380000\n1393921896\t19.380000\n1393922496\t19.380000\n1393923097\t19.310000\n1393923697\t19.310000\n1393924298\t19.250000\n1393924899\t19.190000\n1393925499\t19.120000\n1393926100\t19.120000\n1393926700\t19.120000\n1393927301\t19.120000\n1393927901\t19.190000\n1393928502\t19.120000\n1393929102\t19.190000\n1393929703\t19.120000\n1393930304\t19.190000\n1393930904\t19.190000\n1393931505\t19.190000\n1393932105\t19.190000\n1393932706\t19.120000\n1393933306\t19.190000\n1393933907\t19.190000\n1393934507\t19.190000\n1393935108\t19.250000\n1393935708\t19.250000\n1393936309\t19.250000\n1393936910\t19.250000\n1393937510\t19.250000\n1393938111\t19.380000\n1393938711\t19.380000\n1393939312\t19.310000\n1393939912\t19.380000\n1393940513\t19.380000\n1393941113\t19.440000\n1393941729\t19.440000\n1393942330\t19.440000\n1393942930\t19.440000\n1393943531\t19.500000\n1393944131\t19.440000\n1393944732\t19.500000\n1393945332\t19.500000\n1393945933\t19.500000\n1393946534\t19.500000\n1393947134\t19.500000\n1393947735\t19.500000\n1393948335\t19.500000\n1393948936\t19.500000\n1393949536\t19.500000\n1393950137\t19.500000\n1393950737\t19.500000\n1393951338\t19.500000\n1393951939\t19.500000\n1393952539\t19.560000\n1393953140\t19.500000\n1393953740\t19.500000\n1393954341\t19.500000\n1393954941\t19.500000\n1393955542\t19.500000\n1393956142\t19.560000\n1393956743\t19.500000\n1393957343\t19.500000\n1393957944\t19.500000\n1393958544\t19.500000\n1393959160\t19.500000\n1393959761\t19.500000\n1393960361\t19.500000\n1393960962\t19.500000\n1393961562\t19.500000\n1393962163\t19.500000\n1393962763\t19.500000\n1393963364\t19.500000\n1393963964\t19.500000\n1393964565\t19.500000\n1393965166\t19.500000\n1393965766\t19.500000\n1393966367\t19.500000\n1393966967\t19.500000\n1393967568\t19.500000\n1393968168\t19.560000\n1393968769\t19.500000\n1393969369\t19.500000\n1393969970\t19.560000\n1393970571\t19.500000\n1393971171\t19.500000\n1393971772\t19.500000\n1393972372\t19.500000\n1393972973\t19.500000\n1393973573\t19.500000\n1393974174\t19.560000\n1393974775\t19.500000\n1393975375\t19.500000\n1393975991\t19.500000\n1393976591\t19.500000\n1393977192\t19.440000\n1393977792\t19.440000\n1393978393\t19.440000\n1393978994\t19.440000\n1393979594\t19.440000\n1393980195\t19.440000\n1393980795\t19.440000\n1393981396\t19.440000\n1393981996\t19.440000\n1393982597\t19.440000\n1393983197\t19.440000\n1393983798\t19.440000\n1393984399\t19.440000\n1393984999\t19.440000\n1393985600\t19.440000\n1393986200\t19.440000\n1393986801\t19.440000\n1393987401\t19.440000\n1393988002\t19.440000\n1393988602\t19.440000\n1393989203\t19.500000\n1393989804\t19.440000\n1393990404\t19.440000\n1393991005\t19.440000\n1393991605\t19.440000\n1393992206\t19.500000\n1393992821\t19.500000\n1393993422\t19.500000\n1393994022\t19.500000\n1393994623\t19.440000\n1393995224\t19.500000\n1393995824\t19.500000\n1393996425\t19.440000\n1393997025\t19.500000\n1393997626\t19.440000\n1393998226\t19.440000\n1393998827\t19.500000\n1393999427\t19.440000\n1394000028\t19.440000\n1394000628\t19.440000\n1394001229\t19.440000\n1394001830\t19.440000\n1394002430\t19.440000\n1394003031\t19.440000\n1394003631\t19.440000\n1394004232\t19.440000\n1394004832\t19.440000\n1394005433\t19.440000\n1394006033\t19.440000\n1394006634\t19.440000\n1394007235\t19.440000\n1394007835\t19.440000\n1394008436\t19.440000\n1394009036\t19.440000\n1394009637\t19.440000\n1394010237\t19.500000\n1394010838\t19.440000\n1394011454\t19.440000\n1394012054\t19.440000\n1394012655\t19.440000\n1394013255\t19.440000\n1394013856\t19.440000\n1394014456\t19.250000\n1394015057\t19.310000\n1394015657\t19.380000\n1394016258\t19.380000\n1394016858\t19.440000\n1394017459\t19.440000\n1394018060\t19.380000\n1394018660\t19.380000\n1394019261\t19.310000\n1394019861\t19.310000\n1394020462\t19.310000\n1394021062\t19.380000\n1394021663\t19.440000\n1394022264\t19.440000\n1394022864\t19.440000\n1394023465\t19.500000\n1394024065\t19.440000\n1394024666\t19.440000\n1394025266\t19.440000\n1394025867\t19.500000\n1394026467\t19.500000\n1394027068\t19.500000\n1394027669\t19.500000\n1394028269\t19.500000\n1394028870\t19.500000\n1394029485\t19.500000\n1394030086\t19.500000\n1394030686\t19.500000\n1394031287\t19.500000\n1394031887\t19.500000\n1394032488\t19.500000\n1394033088\t19.500000\n1394033689\t19.500000\n1394034290\t19.500000\n1394034890\t19.500000\n1394035491\t19.500000\n1394036091\t19.500000\n1394036692\t19.500000\n1394037292\t19.500000\n1394037893\t19.440000\n1394038494\t19.500000\n1394039094\t19.500000\n1394039695\t19.440000\n1394040295\t19.440000\n1394040896\t19.440000\n1394041496\t19.440000\n1394042097\t19.440000\n1394042697\t19.440000\n1394043298\t19.440000\n1394043899\t19.440000\n1394044499\t19.440000\n1394045100\t19.440000\n1394045700\t19.440000\n1394046301\t19.440000\n1394046901\t19.440000\n1394047502\t19.440000\n1394048102\t19.440000\n1394048718\t19.440000\n1394049319\t19.440000\n1394049919\t19.440000\n1394050520\t19.440000\n1394051120\t19.440000\n1394051721\t19.440000\n1394052321\t19.380000\n1394052922\t19.380000\n1394053523\t19.380000\n1394054123\t19.380000\n1394054724\t19.380000\n1394055324\t19.380000\n1394055925\t19.310000\n1394056525\t19.310000\n1394057126\t19.380000\n1394057726\t19.380000\n1394058327\t19.310000\n1394058928\t19.310000\n1394059528\t19.380000\n1394060129\t19.310000\n1394060729\t19.310000\n1394061330\t19.310000\n1394061930\t19.310000\n1394062531\t19.310000\n1394063131\t19.310000\n1394063732\t19.250000\n1394064333\t19.310000\n1394064933\t19.310000\n1394065534\t19.310000\n1394066149\t19.250000\n1394066750\t19.250000\n1394067350\t19.250000\n1394067951\t19.250000\n1394068551\t19.250000\n1394069152\t19.250000\n1394069752\t19.250000\n1394070353\t19.250000\n1394070954\t19.250000\n1394071554\t19.250000\n1394072155\t19.250000\n1394072755\t19.250000\n1394073356\t19.250000\n1394073956\t19.250000\n1394074557\t19.250000\n1394075157\t19.250000\n1394075758\t19.250000\n1394076359\t19.250000\n1394076959\t19.250000\n1394077560\t19.250000\n1394078160\t19.250000\n1394078761\t19.250000\n1394079361\t19.250000\n1394079962\t19.250000\n1394080563\t19.250000\n1394081163\t19.190000\n1394081764\t19.120000\n1394082364\t19.120000\n1394082965\t19.190000\n1394083565\t19.190000\n1394084166\t19.250000\n1394084781\t19.190000\n1394085382\t19.190000\n1394085982\t19.190000\n1394086583\t19.250000\n1394087184\t19.190000\n1394087784\t19.190000\n1394088385\t19.190000\n1394088985\t19.120000\n1394089586\t19.190000\n1394090186\t19.190000\n1394090787\t19.190000\n1394091387\t19.190000\n1394091988\t19.190000\n1394092588\t19.190000\n1394093189\t19.120000\n1394093790\t19.060000\n1394094390\t19.000000\n1394094991\t19.000000\n1394095591\t18.940000\n1394096192\t18.940000\n1394096792\t18.940000\n1394097393\t18.940000\n1394097993\t18.940000\n1394098594\t19.000000\n1394099194\t18.940000\n1394099795\t18.940000\n1394100396\t18.940000\n1394101011\t18.880000\n1394101612\t18.750000\n1394102212\t18.690000\n1394102813\t18.620000\n1394103413\t18.560000\n1394104014\t18.560000\n1394104614\t18.560000\n1394105215\t18.560000\n1394105815\t18.620000\n1394106416\t18.620000\n1394107017\t18.620000\n1394107617\t18.620000\n1394108218\t18.560000\n1394108818\t18.560000\n1394109419\t18.560000\n1394110019\t18.560000\n1394110620\t18.560000\n1394111220\t18.620000\n1394111821\t18.560000\n1394112422\t18.500000\n1394113022\t18.500000\n1394113623\t18.560000\n1394114223\t18.500000\n1394114824\t18.500000\n1394115424\t18.500000\n1394116025\t18.500000\n1394116625\t18.500000\n1394117241\t18.500000\n1394117842\t18.440000\n1394118442\t18.380000\n1394119043\t18.380000\n1394119643\t18.440000\n1394120244\t18.500000\n1394120844\t18.500000\n1394121445\t18.500000\n1394122045\t18.500000\n1394122646\t18.500000\n1394123246\t18.620000\n1394123847\t18.620000\n1394124448\t18.500000\n1394125048\t18.500000\n1394125649\t18.500000\n1394126249\t18.500000\n1394126850\t18.440000\n1394127450\t18.500000\n1394128051\t18.440000\n1394128652\t18.500000\n1394129252\t18.560000\n1394129853\t18.560000\n1394130453\t18.620000\n1394131054\t18.560000\n1394131654\t18.560000\n1394132255\t18.500000\n1394132855\t18.500000\n1394133456\t18.500000\n1394134057\t18.500000\n1394134657\t18.500000\n1394135258\t18.560000\n1394135873\t18.620000\n1394136474\t18.560000\n1394137074\t18.620000\n1394137675\t18.560000\n1394138276\t18.500000\n1394138876\t18.440000\n1394139477\t18.500000\n1394140077\t18.560000\n1394140678\t18.500000\n1394141278\t18.500000\n1394141879\t18.500000\n1394142479\t18.440000\n1394143080\t18.380000\n1394143681\t18.440000\n1394144281\t18.500000\n1394144882\t18.500000\n1394145482\t18.500000\n1394146083\t18.440000\n1394146683\t18.440000\n1394147284\t18.310000\n1394147884\t18.250000\n1394148485\t18.250000\n1394149086\t18.250000\n1394149686\t18.250000\n1394150287\t18.190000\n1394150887\t18.250000\n1394151488\t18.250000\n1394152088\t18.250000\n1394152689\t18.310000\n1394153289\t18.310000\n1394153890\t18.250000\n1394154491\t18.190000\n1394155106\t18.190000\n1394155707\t18.190000\n1394156307\t18.060000\n1394156908\t18.120000\n1394157508\t18.120000\n1394158109\t18.120000\n1394158709\t18.120000\n1394159310\t18.060000\n1394159911\t18.120000\n1394160511\t18.120000\n1394161112\t18.120000\n1394161712\t18.060000\n1394162313\t18.120000\n1394162913\t18.120000\n1394163514\t18.060000\n1394164114\t18.120000\n1394164715\t18.060000\n1394165316\t18.060000\n1394165916\t18.060000\n1394166517\t18.060000\n1394167117\t18.060000\n1394167718\t18.060000\n1394168318\t18.120000\n1394168919\t18.060000\n1394169519\t18.060000\n1394170120\t18.060000\n1394170720\t18.000000\n1394171321\t17.880000\n1394171922\t17.880000\n1394172522\t17.810000\n1394173123\t17.810000\n1394173723\t17.750000\n1394174324\t17.750000\n1394174924\t17.690000\n1394175525\t17.750000\n1394176125\t17.750000\n1394176741\t17.810000\n1394177342\t17.750000\n1394177942\t17.750000\n1394178543\t17.750000\n1394179143\t17.750000\n1394179744\t17.750000\n1394180344\t17.750000\n1394180945\t17.750000\n1394181545\t17.690000\n1394182146\t17.690000\n1394182747\t17.690000\n1394183347\t17.620000\n1394183948\t17.620000\n1394184548\t17.690000\n1394185149\t17.690000\n1394185749\t17.620000\n1394186350\t17.690000\n1394186950\t17.620000\n1394187551\t17.690000\n1394188152\t17.690000\n1394188752\t17.750000\n1394189353\t17.750000\n1394189953\t17.690000\n1394190554\t17.690000\n1394191154\t17.690000\n1394191755\t17.750000\n1394192356\t17.690000\n1394192956\t17.810000\n1394193557\t17.880000\n1394194157\t17.880000\n1394194758\t17.810000\n1394195358\t17.810000\n1394195959\t17.810000\n1394196559\t17.880000\n1394197160\t17.810000\n1394197761\t17.810000\n1394198361\t17.750000\n1394198977\t17.810000\n1394199577\t17.750000\n1394200178\t17.690000\n1394200778\t17.750000\n1394201379\t17.690000\n1394201979\t17.690000\n1394202580\t17.750000\n1394203181\t17.750000\n1394203781\t17.690000\n1394204382\t17.620000\n1394204982\t17.620000\n1394205583\t17.620000\n1394206183\t17.620000\n1394206784\t17.620000\n1394207384\t17.620000\n1394207985\t17.620000\n1394208585\t17.560000\n1394209186\t17.560000\n1394209787\t17.560000\n1394210387\t17.560000\n1394210988\t17.500000\n1394211588\t17.500000\n1394212189\t17.500000\n1394212789\t17.560000\n1394213390\t17.560000\n1394213990\t17.560000\n1394214591\t17.560000\n1394215191\t17.500000\n1394215792\t17.500000\n1394216393\t17.500000\n1394216993\t17.500000\n1394217609\t17.500000\n1394218209\t17.380000\n1394218810\t17.310000\n1394219410\t17.380000\n1394220011\t17.310000\n1394220612\t17.440000\n1394221212\t17.440000\n1394221813\t17.440000\n1394222413\t17.440000\n1394223014\t17.440000\n1394223614\t17.380000\n1394224215\t17.380000\n1394224815\t17.380000\n1394225416\t17.380000\n1394226017\t17.380000\n1394226617\t17.380000\n1394227218\t17.380000\n1394227818\t17.440000\n1394228419\t17.440000\n1394229019\t17.440000\n1394229620\t17.440000\n1394230220\t17.440000\n1394230821\t17.310000\n1394231422\t17.560000\n1394232022\t17.620000\n1394232623\t17.620000\n1394233223\t17.620000\n1394233824\t17.620000\n1394234424\t17.690000\n1394235025\t17.620000\n1394235625\t17.620000\n1394236226\t17.560000\n1394236827\t17.620000\n1394237442\t17.620000\n1394238043\t17.620000\n1394238643\t17.690000\n1394239244\t17.620000\n1394239844\t17.620000\n1394240445\t17.620000\n1394241045\t17.620000\n1394241646\t17.620000\n1394242247\t17.620000\n1394242847\t17.560000\n1394243448\t17.560000\n1394244048\t17.690000\n1394244649\t17.690000\n1394245249\t17.750000\n1394245850\t17.880000\n1394246450\t18.000000\n1394247051\t18.120000\n1394247652\t18.120000\n1394248252\t18.190000\n1394248853\t18.120000\n1394249453\t18.120000\n1394250054\t18.120000\n1394250654\t18.120000\n1394251255\t18.060000\n1394251855\t18.120000\n1394252456\t18.190000\n1394253057\t18.250000\n1394253672\t18.310000\n1394254273\t18.380000\n1394254873\t18.310000\n1394255474\t18.250000\n1394256074\t18.250000\n1394256675\t18.190000\n1394257275\t18.190000\n1394257876\t18.190000\n1394258476\t18.190000\n1394259077\t18.190000\n1394259678\t18.250000\n1394260278\t18.190000\n1394260879\t18.120000\n1394261479\t18.190000\n1394262080\t18.120000\n1394262680\t18.120000\n1394263281\t18.000000\n1394263881\t18.060000\n1394264482\t18.000000\n1394265083\t18.000000\n1394265683\t18.060000\n1394266284\t18.000000\n1394266884\t18.000000\n1394267485\t18.000000\n1394268085\t18.060000\n1394268686\t18.000000\n1394269286\t17.940000\n1394269887\t18.000000\n1394270488\t18.190000\n1394271088\t18.190000\n1394271689\t18.190000\n1394272304\t18.250000\n1394272905\t18.250000\n1394273505\t18.250000\n1394274106\t18.250000\n1394274706\t18.120000\n1394275307\t18.120000\n1394275908\t18.120000\n1394276508\t18.000000\n1394277109\t18.000000\n1394277709\t18.060000\n1394278310\t18.060000\n1394278910\t18.000000\n1394279511\t18.000000\n1394280111\t18.060000\n1394280712\t18.000000\n1394281312\t18.000000\n1394281913\t18.060000\n1394282514\t18.000000\n1394283114\t18.120000\n1394283715\t18.060000\n1394284315\t18.060000\n1394284916\t18.060000\n1394285516\t18.060000\n1394286117\t18.120000\n1394286718\t18.120000\n1394287318\t18.060000\n1394287919\t18.120000\n1394288519\t18.190000\n1394289135\t18.190000\n1394289735\t18.190000\n1394290336\t18.190000\n1394290937\t18.120000\n1394291537\t18.190000\n1394292138\t18.190000\n1394292738\t18.190000\n1394293339\t18.190000\n1394293939\t18.190000\n1394294540\t18.190000\n1394295141\t18.250000\n1394295741\t18.250000\n1394296342\t18.190000\n1394296942\t18.120000\n1394297543\t18.120000\n1394298143\t18.120000\n1394298744\t18.190000\n1394299344\t18.250000\n1394299945\t18.310000\n1394300545\t18.250000\n1394301146\t18.250000\n1394301747\t18.310000\n1394302347\t18.310000\n1394302948\t18.380000\n1394303548\t18.380000\n1394304149\t18.380000\n1394304749\t18.440000\n1394305350\t18.310000\n1394305951\t18.380000\n1394306551\t18.500000\n1394307152\t18.440000\n1394307767\t18.440000\n1394308368\t18.500000\n1394308968\t18.380000\n1394309569\t18.380000\n1394310169\t18.440000\n1394310770\t18.440000\n1394311370\t18.440000\n1394311971\t18.500000\n1394312572\t18.440000\n1394313172\t18.440000\n1394313773\t18.380000\n1394314373\t18.310000\n1394314974\t18.250000\n1394315574\t18.250000\n1394316175\t18.310000\n1394316775\t18.310000\n1394317376\t18.310000\n1394317976\t18.310000\n1394318577\t18.250000\n1394319178\t18.250000\n1394319778\t18.190000\n1394320379\t18.190000\n1394320979\t18.250000\n1394321580\t18.310000\n1394322180\t18.250000\n1394322781\t18.190000\n1394323382\t18.120000\n1394323982\t18.190000\n1394324583\t18.120000\n1394325183\t18.190000\n1394325799\t18.190000\n1394326399\t18.190000\n1394327000\t18.190000\n1394327600\t18.190000\n1394328201\t18.190000\n1394328802\t18.190000\n1394329402\t18.060000\n1394330003\t18.060000\n1394330603\t18.000000\n1394331204\t18.060000\n1394331804\t18.060000\n1394332405\t18.060000\n1394333005\t18.060000\n1394333606\t18.060000\n1394334207\t18.000000\n1394334807\t17.940000\n1394335408\t18.000000\n1394336008\t18.000000\n1394336609\t18.000000\n1394337209\t18.000000\n1394337810\t18.060000\n1394338411\t18.060000\n1394339011\t18.250000\n1394339612\t18.250000\n1394340212\t18.190000\n1394340813\t18.120000\n1394341413\t18.120000\n1394342014\t18.060000\n1394342614\t18.120000\n1394343215\t18.190000\n1394343816\t18.190000\n1394344431\t18.250000\n1394345032\t18.310000\n1394345632\t18.310000\n1394346233\t18.310000\n1394346833\t18.310000\n1394347434\t18.310000\n1394348034\t18.310000\n1394348635\t18.380000\n1394349236\t18.380000\n1394349836\t18.310000\n1394350437\t18.250000\n1394351037\t18.250000\n1394351638\t18.190000\n1394352238\t18.120000\n1394352839\t18.120000\n1394353440\t18.120000\n1394354040\t18.120000\n1394354641\t18.190000\n1394355241\t18.190000\n1394355842\t18.120000\n1394356442\t18.060000\n1394357043\t18.060000\n1394357644\t18.060000\n1394358244\t18.060000\n1394358845\t18.060000\n1394359445\t17.690000\n1394360046\t17.620000\n1394360646\t17.810000\n1394361262\t17.880000\n1394361862\t17.940000\n1394362463\t18.060000\n1394363063\t18.120000\n1394363664\t18.060000\n1394364265\t18.060000\n1394364865\t18.000000\n1394365466\t18.060000\n1394366066\t18.120000\n1394366667\t18.190000\n1394367267\t18.120000\n1394367868\t18.120000\n1394368468\t18.120000\n1394369069\t18.120000\n1394369670\t18.060000\n1394370270\t18.060000\n1394370871\t18.120000\n1394371471\t18.060000\n1394372072\t18.120000\n1394372672\t18.190000\n1394373273\t18.120000\n1394373873\t18.190000\n1394374474\t18.250000\n1394375074\t18.250000\n1394375675\t18.310000\n1394376276\t18.310000\n1394376876\t18.310000\n1394377477\t18.310000\n1394378077\t18.310000\n1394378678\t18.380000\n1394379278\t18.380000\n1394379894\t18.380000\n1394380495\t18.440000\n1394381095\t18.440000\n1394381696\t18.500000\n1394382296\t18.500000\n1394382897\t18.560000\n1394383497\t18.620000\n1394384098\t18.620000\n1394384699\t18.690000\n1394385299\t18.690000\n1394385900\t18.690000\n1394386500\t18.690000\n1394387101\t18.750000\n1394387701\t18.810000\n1394388302\t18.880000\n1394388903\t18.940000\n1394389503\t18.940000\n1394390104\t18.940000\n1394390704\t18.880000\n1394391305\t18.810000\n1394391905\t18.880000\n1394392506\t18.810000\n1394393106\t18.880000\n1394393707\t18.940000\n1394394308\t18.940000\n1394394908\t19.000000\n1394395509\t19.000000\n1394396124\t19.060000\n1394396725\t19.120000\n1394397325\t19.190000\n1394397926\t19.250000\n1394398526\t19.250000\n1394399127\t19.250000\n1394399727\t19.250000\n1394400328\t19.250000\n1394400929\t19.190000\n1394401529\t19.250000\n1394402130\t19.250000\n1394402730\t19.250000\n1394403331\t19.250000\n1394403931\t19.190000\n1394404532\t19.190000\n1394405133\t19.190000\n1394405733\t19.250000\n1394406334\t19.250000\n1394406934\t19.310000\n1394407535\t19.310000\n1394408135\t19.310000\n1394408736\t19.310000\n1394409336\t19.310000\n1394409937\t19.310000\n1394410538\t19.310000\n1394411138\t19.440000\n1394411739\t19.440000\n1394412339\t19.380000\n1394412940\t19.380000\n1394413540\t19.380000\n1394414141\t19.380000\n1394414741\t19.380000\n1394415342\t19.310000\n1394415943\t19.310000\n1394416558\t19.310000\n1394417159\t19.310000\n1394417759\t19.310000\n1394418360\t19.310000\n1394418960\t19.310000\n1394419561\t19.250000\n1394420161\t19.380000\n1394420762\t19.380000\n1394421363\t19.500000\n1394421963\t19.500000\n1394422564\t19.500000\n1394423164\t19.440000\n1394423765\t19.500000\n1394424365\t19.440000\n1394424966\t19.500000\n1394425566\t19.560000\n1394426167\t19.560000\n1394426768\t19.620000\n1394427368\t19.690000\n1394427969\t19.690000\n1394428569\t19.750000\n1394429170\t19.810000\n1394429770\t19.880000\n1394430371\t19.810000\n1394430972\t19.810000\n1394431572\t19.810000\n1394432173\t19.810000\n1394432773\t19.750000\n1394433389\t19.750000\n1394433989\t19.690000\n1394434590\t19.690000\n1394435191\t19.690000\n1394435791\t19.750000\n1394436392\t19.810000\n1394436992\t19.810000\n1394437593\t19.810000\n1394438193\t19.750000\n1394438794\t19.690000\n1394439394\t19.690000\n1394439995\t19.750000\n1394440596\t19.810000\n1394441196\t19.880000\n1394441797\t19.880000\n1394442397\t19.880000\n1394442998\t19.880000\n1394443598\t19.940000\n1394444199\t20.000000\n1394444799\t19.940000\n1394445400\t19.940000\n1394446001\t20.000000\n1394446601\t20.000000\n1394447202\t20.000000\n1394447802\t20.000000\n1394448403\t19.940000\n1394449003\t20.000000\n1394449604\t20.000000\n1394450204\t20.060000\n1394450805\t20.060000\n1394451405\t20.060000\n1394452006\t20.120000\n1394452607\t20.120000\n1394453222\t20.120000\n1394453823\t20.120000\n1394454423\t20.120000\n1394455024\t20.120000\n1394455624\t20.120000\n1394456225\t20.120000\n1394456825\t20.190000\n1394457426\t20.190000\n1394458026\t20.190000\n1394458627\t20.190000\n1394459228\t20.120000\n1394459828\t20.190000\n1394460429\t20.190000\n1394461029\t20.190000\n1394461630\t20.190000\n1394462230\t20.120000\n1394462831\t20.060000\n1394463432\t20.000000\n1394464032\t19.250000\n1394464633\t19.810000\n1394465233\t20.060000\n1394465834\t20.310000\n1394466434\t20.500000\n1394467035\t20.560000\n1394467635\t20.620000\n1394468236\t20.690000\n1394468837\t20.750000\n1394469437\t20.810000\n1394470038\t20.880000\n1394470638\t21.000000\n1394471239\t21.000000\n1394471854\t21.060000\n1394472455\t21.060000\n1394473055\t21.060000\n1394473656\t21.120000\n1394474257\t21.120000\n1394474857\t21.060000\n1394475458\t21.120000\n1394476058\t21.190000\n1394476659\t21.190000\n1394477259\t21.190000\n1394477860\t21.250000\n1394478461\t21.310000\n1394479061\t21.250000\n1394479662\t21.310000\n1394480262\t21.310000\n1394480863\t21.310000\n1394481463\t21.310000\n1394482064\t21.310000\n1394482664\t21.310000\n1394483265\t21.380000\n1394483866\t21.380000\n1394484466\t21.380000\n1394485067\t21.380000\n1394485667\t21.380000\n1394486268\t21.440000\n1394486868\t21.440000\n1394487469\t21.440000\n1394488069\t21.440000\n1394488685\t21.440000\n1394489286\t21.440000\n1394489886\t21.440000\n1394490487\t21.500000\n1394491087\t21.500000\n1394491688\t21.500000\n1394492288\t21.500000\n1394492889\t21.500000\n1394493489\t21.500000\n1394494090\t21.500000\n1394494691\t21.500000\n1394495291\t21.500000\n1394495892\t21.500000\n1394496492\t21.440000\n1394497093\t21.440000\n1394497693\t21.500000\n1394498294\t21.500000\n1394498894\t21.500000\n1394499495\t21.440000\n1394500096\t21.500000\n1394500696\t21.500000\n1394501297\t21.500000\n1394501897\t21.500000\n1394502498\t21.500000\n1394503098\t21.500000\n1394503699\t21.440000\n1394504300\t21.500000\n1394504900\t21.440000\n1394505501\t21.440000\n1394506101\t21.440000\n1394506702\t21.500000\n1394507317\t21.500000\n1394507918\t21.440000\n1394508518\t21.440000\n1394509119\t21.440000\n1394509720\t21.440000\n1394510320\t21.440000\n1394510921\t21.440000\n1394511521\t21.440000\n1394512122\t21.440000\n1394512722\t21.440000\n1394513323\t21.440000\n1394513923\t21.440000\n1394514524\t21.440000\n1394515124\t21.440000\n1394515725\t21.380000\n1394516326\t21.440000\n1394516926\t21.440000\n1394517527\t21.440000\n1394518127\t21.440000\n1394518728\t21.380000\n1394519328\t21.380000\n1394519929\t21.380000\n1394520529\t21.380000\n1394521130\t21.440000\n1394521731\t21.380000\n1394522331\t21.380000\n1394522932\t21.380000\n1394523532\t21.380000\n1394524133\t21.380000\n1394524733\t21.380000\n1394525334\t21.380000\n1394525934\t21.380000\n1394526550\t21.380000\n1394527151\t21.380000\n1394527751\t21.380000\n1394528352\t21.440000\n1394528952\t21.440000\n1394529553\t21.380000\n1394530153\t21.440000\n1394530754\t21.440000\n1394531355\t21.440000\n1394531955\t21.250000\n1394532556\t21.310000\n1394533156\t21.440000\n1394533757\t21.500000\n1394534357\t21.560000\n1394534958\t21.620000\n1394535558\t21.690000\n1394536159\t21.690000\n1394536759\t21.750000\n1394537360\t21.750000\n1394537961\t21.810000\n1394538561\t21.880000\n1394539162\t21.880000\n1394539762\t21.940000\n1394540363\t21.880000\n1394540963\t21.880000\n1394541564\t20.620000\n1394542164\t20.690000\n1394542765\t20.810000\n1394543365\t20.880000\n1394543966\t20.880000\n1394544566\t20.880000\n1394545167\t20.880000\n1394545783\t20.810000\n1394546383\t20.750000\n1394546984\t20.880000\n1394547584\t20.880000\n1394548185\t20.380000\n1394548785\t20.690000\n1394549386\t20.810000\n1394549986\t20.880000\n1394550587\t21.000000\n1394551188\t21.000000\n1394551788\t21.000000\n1394552389\t21.000000\n1394552989\t21.060000\n1394553590\t21.060000\n1394554190\t21.060000\n1394554791\t21.000000\n1394555391\t21.060000\n1394555992\t21.120000\n1394556592\t21.060000\n1394557193\t21.060000\n1394557794\t21.060000\n1394558394\t21.120000\n1394558995\t21.190000\n1394559595\t21.120000\n1394560196\t21.190000\n1394560796\t21.190000\n1394561397\t21.190000\n1394561997\t21.190000\n1394562598\t21.190000\n1394563199\t21.250000\n1394563799\t21.190000\n1394564415\t21.190000\n1394565015\t21.190000\n1394565616\t21.190000\n1394566216\t21.190000\n1394566817\t21.190000\n1394567417\t21.250000\n1394568018\t21.190000\n1394568619\t21.190000\n1394569219\t21.190000\n1394569820\t21.250000\n1394570420\t21.250000\n1394571021\t21.250000\n1394571621\t21.250000\n1394572222\t21.250000\n1394572823\t21.250000\n1394573423\t21.250000\n1394574024\t21.310000\n1394574624\t21.250000\n1394575225\t21.250000\n1394575825\t21.250000\n1394576426\t21.250000\n1394577026\t21.250000\n1394577627\t21.250000\n1394578227\t21.250000\n1394578828\t21.250000\n1394579428\t21.250000\n1394580029\t21.190000\n1394580630\t21.190000\n1394581230\t21.190000\n1394581831\t21.190000\n1394582431\t21.190000\n1394583047\t21.120000\n1394583647\t21.190000\n1394584248\t21.120000\n1394584848\t21.120000\n1394585449\t21.190000\n1394586049\t21.190000\n1394586650\t21.120000\n1394587251\t21.120000\n1394587851\t21.190000\n1394588452\t21.060000\n1394589052\t21.120000\n1394589653\t21.060000\n1394590253\t21.000000\n1394590854\t21.060000\n1394591454\t21.060000\n1394592055\t21.060000\n1394592656\t21.000000\n1394593256\t21.000000\n1394593857\t20.940000\n1394594457\t20.940000\n1394595058\t20.940000\n1394595658\t20.940000\n1394596259\t20.940000\n1394596859\t20.940000\n1394597460\t20.940000\n1394598060\t21.000000\n1394598661\t21.000000\n1394599261\t21.000000\n1394599862\t20.940000\n1394600463\t20.940000\n1394601078\t20.940000\n1394601679\t20.940000\n1394602279\t20.880000\n1394602880\t20.880000\n1394603480\t20.940000\n1394604081\t20.880000\n1394604681\t20.940000\n1394605282\t21.000000\n1394605883\t20.940000\n1394606483\t21.000000\n1394607084\t21.000000\n1394607684\t21.000000\n1394608285\t21.000000\n1394608885\t21.060000\n1394609486\t21.000000\n1394610086\t21.060000\n1394610687\t21.000000\n1394611287\t21.000000\n1394611888\t20.940000\n1394612488\t20.880000\n1394613089\t20.880000\n1394613689\t20.880000\n1394614290\t20.880000\n1394614890\t20.940000\n1394615491\t20.940000\n1394616091\t20.940000\n1394616692\t20.940000\n1394617293\t20.880000\n1394617893\t20.940000\n1394618494\t20.940000\n1394619094\t20.940000\n1394619695\t20.940000\n1394620295\t20.940000\n1394620896\t20.880000\n1394621496\t20.880000\n1394622112\t20.940000\n1394622712\t20.880000\n1394623313\t20.880000\n1394623913\t20.940000\n1394624514\t20.880000\n1394625114\t20.940000\n1394625715\t20.880000\n1394626316\t20.940000\n1394626916\t20.940000\n1394627517\t20.940000\n1394628117\t20.940000\n1394628718\t20.880000\n1394629318\t20.940000\n1394629919\t20.940000\n1394630519\t20.940000\n1394631120\t21.000000\n1394631721\t20.940000\n1394632321\t20.940000\n1394632922\t20.880000\n1394633522\t20.940000\n1394634123\t21.000000\n1394634723\t20.940000\n1394635324\t21.000000\n1394635924\t21.060000\n1394636525\t21.060000\n1394637126\t21.190000\n1394637726\t21.190000\n1394638327\t21.190000\n1394638927\t21.250000\n1394639528\t21.310000\n1394640128\t21.310000\n1394640729\t21.250000\n1394641329\t20.750000\n1394641930\t20.940000\n1394642531\t21.000000\n1394643146\t21.000000\n1394643747\t21.120000\n1394644347\t21.120000\n1394644948\t21.190000\n1394645548\t21.250000\n1394646149\t21.310000\n1394646749\t21.310000\n1394647350\t21.380000\n1394647951\t21.380000\n1394648551\t21.380000\n1394649152\t21.440000\n1394649752\t21.380000\n1394650353\t21.380000\n1394650953\t21.380000\n1394651554\t21.380000\n1394652154\t21.380000\n1394652755\t21.380000\n1394653356\t21.380000\n1394653956\t21.440000\n1394654557\t21.440000\n1394655157\t21.440000\n1394655758\t21.500000\n1394656358\t21.500000\n1394656959\t21.500000\n1394657559\t21.500000\n1394658160\t21.500000\n1394658761\t21.500000\n1394659361\t21.500000\n1394659962\t21.500000\n1394660562\t21.500000\n1394661163\t21.500000\n1394661763\t21.560000\n1394662364\t21.560000\n1394662964\t21.560000\n1394663580\t21.560000\n1394664181\t21.560000\n1394664781\t21.500000\n1394665382\t21.560000\n1394665982\t21.560000\n1394666583\t21.560000\n1394667183\t21.560000\n1394667784\t21.560000\n1394668385\t21.500000\n1394668985\t21.500000\n1394669586\t21.500000\n1394670186\t21.500000\n1394670787\t21.500000\n1394671387\t21.500000\n1394671988\t21.500000\n1394672588\t21.500000\n1394673189\t21.440000\n1394673789\t21.500000\n1394674390\t21.500000\n1394674991\t21.500000\n1394675591\t21.500000\n1394676192\t21.500000\n1394676792\t21.500000\n1394677393\t21.560000\n1394677993\t21.560000\n1394678609\t21.440000\n1394679209\t21.500000\n1394679810\t21.500000\n1394680411\t21.440000\n1394681011\t21.440000\n1394681612\t21.440000\n1394682212\t21.440000\n1394682813\t21.440000\n1394683413\t21.500000\n1394684014\t21.440000\n1394684614\t21.440000\n1394685215\t21.500000\n1394685815\t21.500000\n1394686416\t21.500000\n1394687016\t21.500000\n1394687617\t21.500000\n1394688218\t21.500000\n1394688818\t21.500000\n1394689419\t21.500000\n1394690019\t21.500000\n1394690620\t21.500000\n1394691220\t21.500000\n1394691821\t21.440000\n1394692421\t21.440000\n1394693022\t21.440000\n1394693622\t21.440000\n1394694223\t21.440000\n1394694824\t21.440000\n1394695424\t21.380000\n1394696025\t21.380000\n1394696625\t21.310000\n1394697241\t21.250000\n1394697841\t21.310000\n1394698442\t21.250000\n1394699042\t21.250000\n1394699643\t21.250000\n1394700244\t21.250000\n1394700844\t21.250000\n1394701445\t21.250000\n1394702045\t21.250000\n1394702646\t21.250000\n1394703246\t21.250000\n1394703847\t21.190000\n1394704447\t21.190000\n1394705048\t21.190000\n1394705649\t21.190000\n1394706249\t21.190000\n1394706850\t20.940000\n1394707450\t21.120000\n1394708051\t21.000000\n1394708651\t20.250000\n1394709252\t20.620000\n1394709852\t20.810000\n1394710453\t20.880000\n1394711053\t20.750000\n1394711654\t20.690000\n1394712254\t20.690000\n1394712855\t20.690000\n1394713456\t20.690000\n1394714056\t20.620000\n1394714657\t20.750000\n1394715257\t20.810000\n1394715858\t20.810000\n1394716458\t20.750000\n1394717074\t20.750000\n1394717675\t20.750000\n1394718275\t20.690000\n1394718876\t20.620000\n1394719476\t20.620000\n1394720077\t20.620000\n1394720677\t20.620000\n1394721278\t20.620000\n1394721878\t20.620000\n1394722479\t20.620000\n1394723079\t20.620000\n1394723680\t20.690000\n1394724281\t20.690000\n1394724881\t20.690000\n1394725482\t20.750000\n1394726082\t20.690000\n1394726683\t20.690000\n1394727283\t20.750000\n1394727884\t20.940000\n1394728485\t20.880000\n1394729085\t20.940000\n1394729686\t20.750000\n1394730286\t20.750000\n1394730887\t20.690000\n1394731487\t20.690000\n1394732088\t20.620000\n1394732688\t20.620000\n1394733304\t20.690000\n1394733905\t20.690000\n1394734505\t20.750000\n1394735106\t20.810000\n1394735706\t20.880000\n1394736307\t20.880000\n1394736907\t20.810000\n1394737508\t20.810000\n1394738108\t20.750000\n1394738709\t20.880000\n1394739309\t20.880000\n1394739910\t21.000000\n1394740511\t20.940000\n1394741111\t20.940000\n1394741712\t20.880000\n1394742312\t20.880000\n1394742913\t20.940000\n1394743513\t21.000000\n1394744114\t21.000000\n1394744714\t21.000000\n1394745315\t21.060000\n1394745916\t21.060000\n1394746516\t21.000000\n1394747117\t20.940000\n1394747717\t21.000000\n1394748318\t21.060000\n1394748918\t21.060000\n1394749519\t21.120000\n1394750134\t21.190000\n1394750735\t21.190000\n1394751336\t21.120000\n1394751936\t21.190000\n1394752537\t21.120000\n1394753137\t21.120000\n1394753738\t21.190000\n1394754338\t21.250000\n1394754939\t21.250000\n1394755539\t21.250000\n1394756140\t21.250000\n1394756740\t21.250000\n1394757341\t21.250000\n1394757941\t21.250000\n1394758542\t21.250000\n1394759142\t21.250000\n1394759743\t21.250000\n1394760344\t21.250000\n1394760944\t21.250000\n1394761545\t21.310000\n1394762145\t21.310000\n1394762746\t21.250000\n1394763346\t21.250000\n1394763947\t21.250000\n1394764547\t21.250000\n1394765148\t21.250000\n1394765749\t21.250000\n1394766349\t21.250000\n1394766965\t21.250000\n1394767565\t21.250000\n1394768166\t21.250000\n1394768766\t21.250000\n1394769367\t21.250000\n1394769967\t21.250000\n1394770568\t21.250000\n1394771168\t21.250000\n1394771769\t21.250000\n1394772370\t21.190000\n1394772970\t21.190000\n1394773571\t21.190000\n1394774171\t21.120000\n1394774772\t21.060000\n1394775372\t21.000000\n1394775973\t21.000000\n1394776573\t20.940000\n1394777174\t21.000000\n1394777774\t21.060000\n1394778375\t21.060000\n1394778976\t21.000000\n1394779576\t21.000000\n1394780177\t21.060000\n1394780777\t21.060000\n1394781378\t21.120000\n1394781978\t21.190000\n1394782579\t21.120000\n1394783179\t21.060000\n1394783780\t21.060000\n1394784380\t21.060000\n1394784996\t21.060000\n1394785597\t21.120000\n1394786197\t21.120000\n1394786798\t21.120000\n1394787398\t21.120000\n1394787999\t21.060000\n1394788599\t21.120000\n1394789200\t21.120000\n1394789800\t21.120000\n1394790401\t21.060000\n1394791002\t21.000000\n1394791602\t20.940000\n1394792203\t20.940000\n1394792803\t20.880000\n1394793404\t20.880000\n1394794004\t20.880000\n1394794605\t21.000000\n1394795205\t20.940000\n1394795806\t20.880000\n1394796407\t20.880000\n1394797007\t20.810000\n1394797608\t20.750000\n1394798208\t20.810000\n1394798809\t20.810000\n1394799409\t20.750000\n1394800010\t20.810000\n1394800625\t20.810000\n1394801226\t20.810000\n1394801827\t20.810000\n1394802427\t20.810000\n1394803028\t20.810000\n1394803628\t20.000000\n1394804229\t20.250000\n1394804829\t20.310000\n1394805430\t20.380000\n1394806030\t20.380000\n1394806631\t20.380000\n1394807232\t20.310000\n1394807832\t20.310000\n1394808433\t20.310000\n1394809033\t20.190000\n1394809634\t20.250000\n1394810234\t20.190000\n1394810835\t20.120000\n1394811435\t20.190000\n1394812036\t20.250000\n1394812636\t20.380000\n1394813237\t20.440000\n1394813838\t20.440000\n1394814438\t20.500000\n1394815039\t20.380000\n1394815639\t20.380000\n1394816240\t20.380000\n1394816840\t20.310000\n1394817441\t20.060000\n1394818041\t20.060000\n1394818642\t20.000000\n1394819257\t20.000000\n1394819858\t20.060000\n1394820458\t20.060000\n1394821059\t20.000000\n1394821660\t20.000000\n1394822260\t19.940000\n1394822861\t19.880000\n1394823461\t19.810000\n1394824062\t19.810000\n1394824662\t19.750000\n1394825263\t19.690000\n1394825864\t19.690000\n1394826464\t19.560000\n1394827065\t19.560000\n1394827665\t19.560000\n1394828266\t19.500000\n1394828866\t19.500000\n1394829467\t19.500000\n1394830068\t19.500000\n1394830668\t19.500000\n1394831269\t19.500000\n1394831869\t19.500000\n1394832470\t19.440000\n1394833070\t19.500000\n1394833671\t19.500000\n1394834271\t19.500000\n1394834872\t19.440000\n1394835473\t19.440000\n1394836073\t19.440000\n1394836689\t19.500000\n1394837289\t19.440000\n1394837890\t19.380000\n1394838490\t19.440000\n1394839091\t19.440000\n1394839691\t19.440000\n1394840292\t19.440000\n1394840893\t19.440000\n1394841493\t19.440000\n1394842094\t19.440000\n1394842694\t19.380000\n1394843295\t19.380000\n1394843895\t19.380000\n1394844496\t19.380000\n1394845097\t19.440000\n1394845697\t19.440000\n1394846298\t19.440000\n1394846898\t19.380000\n1394847499\t19.500000\n1394848099\t19.560000\n1394848700\t19.620000\n1394849300\t19.620000\n1394849901\t19.750000\n1394850502\t19.810000\n1394851102\t19.940000\n1394851703\t20.060000\n1394852303\t20.060000\n1394852904\t20.000000\n1394853504\t19.940000\n1394854105\t19.940000\n1394854705\t19.880000\n1394855321\t19.810000\n1394855922\t19.810000\n1394856522\t19.810000\n1394857123\t19.880000\n1394857723\t19.810000\n1394858324\t19.810000\n1394858924\t19.750000\n1394859525\t19.750000\n1394860125\t19.810000\n1394860726\t19.810000\n1394861327\t19.750000\n1394861927\t19.750000\n1394862528\t19.750000\n1394863128\t19.690000\n1394863729\t19.620000\n1394864329\t19.560000\n1394864930\t19.500000\n1394865530\t19.500000\n1394866131\t19.500000\n1394866732\t19.500000\n1394867332\t19.500000\n1394867933\t19.500000\n1394868533\t19.500000\n1394869134\t19.560000\n1394869734\t19.500000\n1394870335\t19.560000\n1394870935\t19.500000\n1394871536\t19.500000\n1394872151\t19.500000\n1394872752\t19.500000\n1394873353\t19.440000\n1394873953\t19.380000\n1394874554\t19.310000\n1394875154\t19.440000\n1394875755\t19.380000\n1394876355\t19.380000\n1394876956\t19.310000\n1394877556\t19.250000\n1394878157\t19.250000\n1394878758\t19.310000\n1394879358\t19.310000\n1394879959\t19.250000\n1394880559\t19.310000\n1394881160\t19.250000\n1394881760\t19.310000\n1394882361\t19.310000\n1394882961\t19.250000\n1394883562\t19.250000\n1394884163\t19.380000\n1394884763\t19.380000\n1394885364\t19.310000\n1394885964\t19.250000\n1394886565\t19.250000\n1394887165\t19.250000\n1394887766\t19.310000\n1394888367\t19.380000\n1394888967\t19.440000\n1394889568\t19.440000\n1394890168\t19.500000\n1394890769\t19.500000\n1394891369\t19.440000\n1394891985\t19.380000\n1394892585\t19.380000\n1394893186\t19.380000\n1394893786\t19.380000\n1394894387\t19.380000\n1394894988\t19.380000\n1394895588\t19.440000\n1394896189\t19.440000\n1394896789\t19.380000\n1394897390\t19.440000\n1394897990\t19.500000\n1394898591\t19.500000\n1394899192\t19.560000\n1394899792\t19.620000\n1394900393\t19.690000\n1394900993\t19.750000\n1394901594\t19.810000\n1394902194\t19.880000\n1394902795\t19.880000\n1394903395\t19.940000\n1394903996\t19.940000\n1394904596\t19.940000\n1394905197\t19.940000\n1394905798\t20.000000\n1394906398\t20.000000\n1394906999\t20.000000\n1394907599\t19.940000\n1394908215\t19.940000\n1394908815\t19.940000\n1394909416\t20.000000\n1394910016\t20.000000\n1394910617\t20.060000\n1394911217\t20.060000\n1394911818\t20.060000\n1394912418\t20.060000\n1394913019\t20.060000\n1394913620\t20.060000\n1394914220\t20.060000\n1394914821\t20.060000\n1394915421\t20.000000\n1394916022\t19.940000\n1394916622\t19.810000\n1394917223\t19.880000\n1394917823\t19.940000\n1394918424\t19.940000\n1394919025\t19.940000\n1394919625\t19.940000\n1394920226\t19.940000\n1394920826\t19.940000\n1394921427\t19.940000\n1394922027\t20.000000\n1394922628\t20.000000\n1394923229\t20.000000\n1394923829\t20.000000\n1394924430\t20.000000\n1394925030\t20.000000\n1394925631\t20.000000\n1394926246\t20.000000\n1394926847\t20.000000\n1394927448\t20.000000\n1394928048\t20.000000\n1394928649\t20.000000\n1394929249\t20.000000\n1394929850\t19.940000\n1394930450\t20.000000\n1394931051\t19.940000\n1394931651\t19.940000\n1394932252\t19.940000\n1394932852\t19.940000\n1394933453\t19.940000\n1394934054\t19.940000\n1394934654\t19.940000\n1394935255\t20.000000\n1394935855\t19.940000\n1394936456\t19.940000\n1394937056\t19.940000\n1394937657\t20.000000\n1394938257\t19.940000\n1394938858\t19.940000\n1394939459\t19.940000\n1394940059\t19.940000\n1394940660\t19.940000\n1394941260\t19.880000\n1394941861\t19.940000\n1394942461\t19.880000\n1394943062\t19.880000\n1394943662\t19.880000\n1394944263\t19.880000\n1394944879\t19.880000\n1394945479\t19.880000\n1394946080\t19.880000\n1394946680\t19.880000\n1394947281\t19.810000\n1394947881\t19.880000\n1394948482\t19.880000\n1394949082\t19.880000\n1394949683\t19.880000\n1394950284\t19.880000\n1394950884\t19.880000\n1394951485\t19.880000\n1394952085\t19.880000\n1394952686\t19.880000\n1394953286\t19.880000\n1394953887\t19.880000\n1394954487\t19.810000\n1394955088\t19.810000\n1394955689\t19.750000\n1394956289\t19.750000\n1394956890\t19.750000\n1394957490\t19.690000\n1394958091\t19.690000\n1394958691\t19.620000\n1394959292\t19.560000\n1394959892\t19.620000\n1394960493\t19.560000\n1394961093\t19.560000\n1394961709\t19.560000\n1394962310\t19.560000\n1394962910\t19.560000\n1394963511\t19.560000\n1394964111\t19.560000\n1394964712\t19.500000\n1394965312\t19.500000\n1394965913\t19.560000\n1394966513\t19.560000\n1394967114\t19.500000\n1394967714\t19.500000\n1394968315\t19.500000\n1394968916\t19.560000\n1394969516\t19.560000\n1394970117\t19.500000\n1394970717\t19.440000\n1394971318\t19.440000\n1394971918\t19.500000\n1394972519\t19.500000\n1394973120\t19.440000\n1394973720\t19.440000\n1394974321\t19.500000\n1394974921\t19.500000\n1394975522\t19.500000\n1394976122\t19.440000\n1394976723\t19.500000\n1394977323\t19.500000\n1394977924\t19.500000\n1394978525\t19.560000\n1394979125\t19.500000\n1394979741\t19.560000\n1394980341\t19.560000\n1394980942\t19.620000\n1394981542\t19.620000\n1394982143\t19.620000\n1394982743\t19.620000\n1394983344\t19.620000\n1394983945\t19.690000\n1394984545\t19.690000\n1394985146\t19.690000\n1394985746\t19.750000\n1394986347\t19.690000\n1394986947\t19.690000\n1394987548\t19.750000\n1394988148\t19.750000\n1394988749\t19.750000\n1394989350\t19.750000\n1394989950\t19.750000\n1394990551\t19.750000\n1394991151\t19.750000\n1394991752\t19.750000\n1394992352\t19.750000\n1394992953\t19.750000\n1394993553\t19.690000\n1394994154\t19.750000\n1394994755\t19.690000\n1394995355\t19.750000\n1394995956\t19.690000\n1394996556\t19.690000\n1394997157\t19.750000\n1394997757\t19.690000\n1394998358\t19.690000\n1394998973\t19.690000\n1394999574\t19.690000\n1395000175\t19.690000\n1395000775\t19.690000\n1395001376\t19.690000\n1395001976\t19.690000\n1395002577\t19.690000\n1395003177\t19.690000\n1395003778\t19.690000\n1395004378\t19.690000\n1395004979\t19.690000\n1395005580\t19.690000\n1395006180\t19.620000\n1395006781\t19.560000\n1395007381\t19.560000\n1395007982\t19.560000\n1395008582\t19.560000\n1395009183\t19.620000\n1395009783\t19.440000\n1395010384\t19.380000\n1395010985\t19.500000\n1395011585\t19.620000\n1395012186\t19.620000\n1395012786\t19.620000\n1395013387\t19.690000\n1395013987\t19.690000\n1395014588\t19.690000\n1395015188\t19.690000\n1395015789\t19.690000\n1395016389\t19.620000\n1395016990\t19.560000\n1395017590\t19.440000\n1395018191\t19.380000\n1395018792\t19.380000\n1395019392\t19.310000\n1395020008\t19.190000\n1395020608\t19.190000\n1395021209\t19.190000\n1395021809\t19.190000\n1395022410\t19.120000\n1395023010\t19.060000\n1395023611\t19.060000\n1395024212\t19.190000\n1395024812\t19.250000\n1395025413\t19.310000\n1395026013\t19.310000\n1395026614\t19.440000\n1395027214\t19.440000\n1395027815\t19.440000\n1395028415\t19.500000\n1395029016\t19.500000\n1395029616\t19.500000\n1395030217\t19.500000\n1395030818\t19.500000\n1395031418\t19.500000\n1395032019\t19.560000\n1395032619\t19.560000\n1395033220\t19.560000\n1395033820\t19.560000\n1395034421\t19.500000\n1395035021\t19.500000\n1395035622\t19.560000\n1395036222\t19.500000\n1395036823\t19.500000\n1395037423\t19.560000\n1395038024\t19.500000\n1395038624\t19.500000\n1395039225\t19.500000\n1395039826\t19.440000\n1395040426\t19.380000\n1395041042\t19.310000\n1395041642\t19.250000\n1395042243\t19.190000\n1395042843\t19.190000\n1395043444\t19.190000\n1395044044\t19.190000\n1395044645\t19.190000\n1395045245\t19.190000\n1395045846\t19.190000\n1395046446\t19.190000\n1395047047\t19.000000\n1395047648\t19.000000\n1395048248\t19.000000\n1395048849\t18.940000\n1395049449\t18.940000\n1395050050\t18.940000\n1395050650\t18.880000\n1395051251\t18.940000\n1395051851\t18.810000\n1395052452\t18.750000\n1395053053\t18.690000\n1395053653\t18.620000\n1395054254\t18.690000\n1395054854\t18.620000\n1395055455\t18.560000\n1395056055\t18.690000\n1395056656\t18.690000\n1395057256\t18.690000\n1395057857\t18.750000\n1395058473\t18.750000\n1395059073\t18.750000\n1395059674\t18.690000\n1395060274\t18.750000\n1395060875\t18.750000\n1395061475\t18.750000\n1395062076\t18.750000\n1395062676\t18.750000\n1395063277\t18.810000\n1395063877\t18.880000\n1395064478\t18.880000\n1395065079\t18.940000\n1395065679\t18.880000\n1395066280\t18.810000\n1395066880\t18.880000\n1395067481\t18.940000\n1395068081\t18.940000\n1395068682\t18.940000\n1395069282\t18.940000\n1395069883\t18.940000\n1395070484\t19.000000\n1395071084\t19.000000\n1395071685\t19.060000\n1395072285\t19.120000\n1395072886\t19.190000\n1395073486\t19.190000\n1395074087\t19.190000\n1395074687\t19.190000\n1395075288\t19.250000\n1395075903\t19.310000\n1395076504\t19.310000\n1395077105\t19.310000\n1395077705\t19.310000\n1395078306\t19.310000\n1395078906\t19.380000\n1395079507\t19.190000\n1395080107\t19.250000\n1395080708\t19.310000\n1395081308\t19.380000\n1395081909\t19.380000\n1395082510\t19.380000\n1395083110\t19.380000\n1395083711\t19.380000\n1395084311\t19.380000\n1395084912\t19.380000\n1395085512\t19.380000\n1395086113\t19.380000\n1395086713\t19.380000\n1395087314\t19.380000\n1395087914\t19.380000\n1395088515\t19.380000\n1395089116\t19.440000\n1395089716\t19.440000\n1395090317\t19.440000\n1395090917\t19.380000\n1395091518\t19.440000\n1395092118\t19.440000\n1395092719\t19.380000\n1395093319\t19.380000\n1395093920\t19.440000\n1395094520\t19.380000\n1395095121\t19.440000\n1395095736\t19.380000\n1395096337\t19.380000\n1395096937\t19.440000\n1395097538\t19.440000\n1395098138\t19.380000\n1395098739\t19.380000\n1395099340\t19.440000\n1395099940\t19.380000\n1395100541\t19.380000\n1395101141\t19.440000\n1395101742\t19.380000\n1395102342\t19.380000\n1395102943\t19.440000\n1395103543\t19.380000\n1395104144\t19.380000\n1395104745\t19.380000\n1395105345\t19.380000\n1395105946\t19.380000\n1395106546\t19.380000\n1395107147\t19.380000\n1395107747\t19.380000\n1395108348\t19.380000\n1395108948\t19.380000\n1395109549\t19.310000\n1395110149\t19.380000\n1395110750\t19.310000\n1395111350\t19.310000\n1395111951\t19.310000\n1395112551\t19.380000\n1395113167\t19.310000\n1395113767\t19.310000\n1395114368\t19.310000\n1395114968\t19.310000\n1395115569\t19.310000\n1395116169\t19.310000\n1395116770\t19.310000\n1395117370\t19.310000\n1395117971\t19.250000\n1395118571\t19.250000\n1395119172\t19.250000\n1395119772\t19.310000\n1395120373\t19.310000\n1395120973\t19.310000\n1395121574\t19.310000\n1395122174\t19.250000\n1395122775\t19.310000\n1395123376\t19.250000\n1395123976\t19.250000\n1395124577\t19.250000\n1395125177\t19.250000\n1395125778\t19.310000\n1395126378\t19.250000\n1395126979\t19.310000\n1395127579\t19.310000\n1395128180\t19.250000\n1395128780\t19.310000\n1395129381\t19.250000\n1395129982\t19.120000\n1395130597\t19.060000\n1395131198\t19.060000\n1395131798\t19.060000\n1395132399\t19.000000\n1395132999\t18.880000\n1395133600\t18.810000\n1395134200\t18.810000\n1395134801\t18.810000\n1395135402\t18.880000\n1395136002\t18.940000\n1395136603\t19.000000\n1395137203\t19.000000\n1395137804\t19.060000\n1395138404\t19.120000\n1395139005\t19.190000\n1395139605\t19.250000\n1395140206\t19.250000\n1395140806\t19.310000\n1395141407\t19.310000\n1395142008\t19.310000\n1395142608\t19.310000\n1395143209\t19.380000\n1395143809\t19.380000\n1395144410\t19.380000\n1395145010\t19.380000\n1395145611\t19.440000\n1395146211\t19.440000\n1395146812\t19.500000\n1395147412\t19.500000\n1395148013\t19.500000\n1395148613\t19.500000\n1395149229\t19.560000\n1395149830\t19.560000\n1395150430\t19.500000\n1395151031\t19.500000\n1395151631\t19.500000\n1395152232\t19.500000\n1395152832\t19.500000\n1395153433\t19.500000\n1395154033\t19.560000\n1395154634\t19.560000\n1395155234\t19.560000\n1395155835\t19.560000\n1395156436\t19.620000\n1395157036\t19.560000\n1395157637\t19.620000\n1395158237\t19.620000\n1395158838\t19.620000\n1395159438\t19.620000\n1395160039\t19.620000\n1395160639\t19.620000\n1395161240\t19.620000\n1395161841\t19.620000\n1395162441\t19.620000\n1395163042\t19.620000\n1395163642\t19.690000\n1395164258\t19.620000\n1395164858\t19.620000\n1395165459\t19.620000\n1395166059\t19.620000\n1395166660\t19.620000\n1395167260\t19.620000\n1395167861\t19.620000\n1395168462\t19.620000\n1395169062\t19.620000\n1395169663\t19.620000\n1395170263\t19.560000\n1395170864\t19.560000\n1395171464\t19.560000\n1395172065\t19.560000\n1395172665\t19.560000\n1395173266\t19.560000\n1395173866\t19.560000\n1395174467\t19.560000\n1395175068\t19.500000\n1395175668\t19.560000\n1395176269\t19.560000\n1395176869\t19.560000\n1395177470\t19.500000\n1395178070\t19.500000\n1395178671\t19.500000\n1395179272\t19.500000\n1395179887\t19.500000\n1395180488\t19.500000\n1395181088\t19.500000\n1395181689\t19.440000\n1395182289\t19.440000\n1395182890\t19.440000\n1395183490\t19.440000\n1395184091\t19.440000\n1395184692\t19.440000\n1395185292\t19.440000\n1395185893\t19.440000\n1395186493\t19.440000\n1395187094\t19.440000\n1395187694\t19.440000\n1395188295\t19.440000\n1395188895\t19.380000\n1395189496\t19.380000\n1395190096\t19.380000\n1395190697\t19.380000\n1395191298\t19.380000\n1395191898\t19.380000\n1395192499\t19.380000\n1395193099\t19.380000\n1395193700\t19.310000\n1395194300\t19.380000\n1395194901\t19.380000\n1395195501\t19.380000\n1395196102\t19.380000\n1395196703\t19.310000\n1395197303\t19.310000\n1395197919\t19.310000\n1395198519\t19.310000\n1395199120\t19.310000\n1395199720\t19.310000\n1395200321\t19.250000\n1395200921\t19.250000\n1395201522\t19.310000\n1395202123\t19.250000\n1395202723\t19.250000\n1395203324\t19.250000\n1395203924\t19.250000\n1395204525\t19.250000\n1395205125\t19.250000\n1395205726\t19.250000\n1395206327\t19.250000\n1395206927\t19.250000\n1395207528\t19.190000\n1395208128\t19.250000\n1395208729\t19.190000\n1395209329\t19.190000\n1395209930\t19.190000\n1395210530\t19.190000\n1395211131\t19.190000\n1395211732\t19.190000\n1395212332\t19.120000\n1395212933\t19.120000\n1395213533\t19.060000\n1395214134\t19.060000\n1395214734\t19.000000\n1395215335\t19.000000\n1395215935\t18.940000\n1395216536\t18.940000\n1395217136\t18.940000\n1395217752\t18.880000\n1395218353\t18.810000\n1395218953\t18.810000\n1395219554\t18.750000\n1395220154\t18.620000\n1395220755\t18.620000\n1395221355\t18.560000\n1395221956\t18.500000\n1395222556\t18.560000\n1395223157\t18.620000\n1395223757\t18.620000\n1395224358\t18.620000\n1395224959\t18.560000\n1395225559\t18.560000\n1395226160\t18.500000\n1395226760\t18.500000\n1395227361\t18.500000\n1395227961\t18.620000\n1395228562\t18.620000\n1395229162\t18.620000\n1395229763\t18.560000\n1395230364\t18.620000\n1395230964\t18.690000\n1395231565\t18.690000\n1395232165\t18.750000\n1395232766\t18.750000\n1395233366\t18.750000\n1395233967\t18.810000\n1395234567\t18.810000\n1395235183\t18.880000\n1395235783\t18.940000\n1395236384\t18.880000\n1395236985\t18.940000\n1395237585\t18.940000\n1395238186\t18.940000\n1395238786\t19.000000\n1395239387\t19.000000\n1395239987\t19.000000\n1395240588\t19.000000\n1395241188\t19.060000\n1395241789\t19.000000\n1395242390\t19.060000\n1395242990\t19.060000\n1395243591\t19.060000\n1395244191\t19.060000\n1395244792\t19.060000\n1395245392\t19.060000\n1395245993\t19.060000\n1395246593\t19.060000\n1395247194\t19.060000\n1395247795\t19.120000\n1395248395\t19.060000\n1395248996\t19.060000\n1395249596\t19.060000\n1395250197\t19.060000\n1395250797\t19.060000\n1395251398\t19.060000\n1395252013\t19.000000\n1395252614\t19.000000\n1395253215\t18.940000\n1395253815\t18.940000\n1395254416\t18.940000\n1395255016\t18.940000\n1395255617\t18.940000\n1395256217\t19.000000\n1395256818\t18.940000\n1395257418\t18.940000\n1395258019\t19.000000\n1395258620\t18.940000\n1395259220\t18.940000\n1395259821\t18.940000\n1395260421\t18.940000\n1395261022\t18.940000\n1395261622\t18.940000\n1395262223\t18.940000\n1395262823\t18.940000\n1395263424\t18.940000\n1395264024\t19.000000\n1395264625\t19.000000\n1395265225\t19.000000\n1395265826\t19.000000\n1395266426\t19.000000\n1395267027\t19.000000\n1395267628\t19.000000\n1395268228\t19.000000\n1395268829\t18.940000\n1395269429\t19.000000\n1395270030\t19.000000\n1395270630\t19.000000\n1395271231\t19.000000\n1395271846\t19.000000\n1395272447\t19.000000\n1395273048\t19.000000\n1395273648\t19.000000\n1395274249\t19.000000\n1395274849\t19.000000\n1395275450\t19.000000\n1395276050\t18.940000\n1395276651\t19.000000\n1395277251\t19.000000\n1395277852\t19.000000\n1395278452\t19.000000\n1395279053\t19.000000\n1395279653\t19.000000\n1395280254\t19.000000\n1395280854\t19.000000\n1395281455\t19.000000\n1395282056\t19.000000\n1395282656\t18.940000\n1395283257\t19.000000\n1395283857\t19.000000\n1395284458\t18.940000\n1395285058\t19.000000\n1395285659\t18.940000\n1395286259\t19.000000\n1395286860\t19.000000\n1395287461\t19.000000\n1395288061\t19.000000\n1395288662\t19.000000\n1395289262\t18.940000\n1395289863\t19.000000\n1395290478\t19.000000\n1395291079\t19.000000\n1395291679\t18.940000\n1395292280\t18.940000\n1395292880\t18.880000\n1395293481\t18.880000\n1395294082\t18.810000\n1395294682\t18.750000\n1395295283\t18.690000\n1395295883\t18.620000\n1395296484\t18.620000\n1395297084\t18.500000\n1395297685\t18.500000\n1395298285\t18.440000\n1395298886\t18.380000\n1395299486\t18.380000\n1395300087\t18.380000\n1395300687\t18.310000\n1395301288\t18.310000\n1395301889\t18.250000\n1395302489\t18.190000\n1395303090\t18.190000\n1395303690\t18.120000\n1395304291\t18.060000\n1395304891\t18.060000\n1395305492\t18.120000\n1395306092\t18.120000\n1395306693\t18.120000\n1395307294\t18.190000\n1395307894\t18.190000\n1395308495\t18.190000\n1395309110\t18.190000\n1395309711\t18.190000\n1395310311\t18.250000\n1395310912\t18.250000\n1395311512\t18.250000\n1395312113\t18.310000\n1395312713\t18.380000\n1395313314\t18.440000\n1395313914\t18.500000\n1395314515\t18.500000\n1395315116\t18.440000\n1395315716\t18.380000\n1395316317\t18.250000\n1395316917\t18.190000\n1395317518\t18.190000\n1395318118\t18.190000\n1395318719\t18.190000\n1395319319\t18.120000\n1395319920\t18.000000\n1395320520\t18.060000\n1395321121\t18.060000\n1395321721\t18.120000\n1395322322\t18.120000\n1395322922\t18.120000\n1395323523\t18.120000\n1395324124\t18.060000\n1395324724\t18.000000\n1395325325\t17.940000\n1395325925\t18.000000\n1395326526\t18.000000\n1395327126\t18.060000\n1395327742\t18.120000\n1395328343\t18.190000\n1395328943\t18.250000\n1395329544\t18.250000\n1395330144\t18.310000\n1395330745\t18.310000\n1395331345\t18.380000\n1395331946\t18.380000\n1395332546\t18.440000\n1395333147\t18.440000\n1395333748\t18.440000\n1395334348\t18.440000\n1395334949\t18.380000\n1395335549\t18.440000\n1395336150\t18.380000\n1395336750\t18.440000\n1395337351\t18.440000\n1395337951\t18.440000\n1395338552\t18.380000\n1395339153\t18.250000\n1395339753\t18.250000\n1395340354\t18.250000\n1395340954\t18.250000\n1395341555\t18.190000\n1395342155\t18.120000\n1395342756\t18.000000\n1395343356\t17.880000\n1395343957\t17.880000\n1395344557\t17.810000\n1395345158\t17.750000\n1395345759\t17.690000\n1395346374\t17.690000\n1395346975\t17.690000\n1395347575\t17.750000\n1395348176\t17.750000\n1395348776\t17.810000\n1395349377\t17.810000\n1395349977\t17.880000\n1395350578\t17.880000\n1395351178\t17.810000\n1395351779\t17.810000\n1395352379\t17.810000\n1395352980\t17.750000\n1395353581\t17.810000\n1395354181\t17.750000\n1395354782\t17.690000\n1395355382\t17.690000\n1395355983\t17.690000\n1395356583\t17.690000\n1395357184\t17.620000\n1395357784\t17.560000\n1395358385\t17.560000\n1395358985\t17.560000\n1395359586\t17.620000\n1395360187\t17.560000\n1395360787\t17.620000\n1395361388\t17.560000\n1395361988\t17.620000\n1395362589\t17.620000\n1395363189\t17.620000\n1395363790\t17.620000\n1395364391\t17.620000\n1395365006\t17.690000\n1395365607\t17.690000\n1395366207\t17.750000\n1395366808\t17.810000\n1395367408\t17.880000\n1395368009\t18.000000\n1395368609\t18.060000\n1395369210\t18.000000\n1395369811\t18.190000\n1395370411\t18.250000\n1395371012\t18.310000\n1395371612\t18.500000\n1395372213\t18.310000\n1395372813\t18.310000\n1395373414\t18.250000\n1395374015\t18.310000\n1395374615\t18.310000\n1395375216\t18.250000\n1395375816\t18.380000\n1395376417\t18.250000\n1395377017\t18.190000\n1395377618\t18.250000\n1395378218\t18.190000\n1395378819\t18.250000\n1395379420\t18.250000\n1395380020\t18.250000\n1395380621\t18.250000\n1395381221\t18.380000\n1395381822\t18.310000\n1395382422\t18.190000\n1395383023\t18.190000\n1395383638\t18.190000\n1395384239\t18.310000\n1395384840\t18.250000\n1395385440\t18.190000\n1395386041\t18.190000\n1395386641\t18.120000\n1395387242\t18.190000\n1395387842\t18.190000\n1395388443\t18.190000\n1395389043\t18.250000\n1395389644\t18.250000\n1395390245\t18.190000\n1395390845\t18.310000\n1395391446\t18.380000\n1395392046\t18.310000\n1395392647\t18.250000\n1395393247\t18.250000\n1395393848\t18.310000\n1395394448\t18.500000\n1395395049\t18.440000\n1395395649\t18.500000\n1395396250\t18.440000\n1395396850\t18.440000\n1395397451\t18.500000\n1395398052\t18.380000\n1395398652\t18.380000\n1395399253\t18.440000\n1395399853\t18.440000\n1395400469\t18.500000\n1395401069\t18.500000\n1395401670\t18.440000\n1395402270\t18.440000\n1395402871\t18.560000\n1395403472\t18.560000\n1395404072\t18.620000\n1395404673\t18.500000\n1395405273\t18.440000\n1395405874\t18.440000\n1395406474\t18.380000\n1395407075\t18.380000\n1395407675\t18.380000\n1395408276\t18.560000\n1395408876\t18.620000\n1395409477\t18.560000\n1395410077\t18.440000\n1395410678\t18.440000\n1395411278\t18.500000\n1395411879\t18.440000\n1395412480\t18.440000\n1395413080\t18.440000\n1395413681\t18.380000\n1395414281\t18.500000\n1395414882\t18.560000\n1395415482\t18.560000\n1395416083\t18.560000\n1395416683\t18.560000\n1395417284\t18.500000\n1395417885\t18.500000\n1395418500\t18.620000\n1395419101\t18.690000\n1395419701\t18.750000\n1395420302\t18.750000\n1395420902\t18.690000\n1395421503\t18.750000\n1395422103\t18.750000\n1395422704\t18.750000\n1395423305\t18.750000\n1395423905\t18.750000\n1395424506\t18.690000\n1395425106\t18.690000\n1395425707\t18.810000\n1395426307\t18.810000\n1395426908\t18.880000\n1395427508\t18.880000\n1395428109\t18.810000\n1395428710\t18.880000\n1395429310\t18.880000\n1395429911\t18.810000\n1395430511\t18.810000\n1395431112\t18.750000\n1395431712\t18.690000\n1395432313\t18.750000\n1395432913\t18.750000\n1395433514\t18.750000\n1395434115\t18.810000\n1395434715\t18.810000\n1395435316\t18.810000\n1395435916\t18.750000\n1395436517\t18.810000\n1395437117\t18.880000\n1395437733\t18.940000\n1395438333\t18.940000\n1395438934\t19.000000\n1395439534\t18.940000\n1395440135\t18.880000\n1395440736\t18.880000\n1395441336\t18.880000\n1395441937\t18.940000\n1395442537\t18.880000\n1395443138\t18.940000\n1395443738\t18.880000\n1395444339\t18.880000\n1395444939\t18.940000\n1395445540\t18.940000\n1395446141\t18.880000\n1395446741\t18.940000\n1395447342\t19.000000\n1395447942\t18.940000\n1395448543\t19.000000\n1395449143\t18.940000\n1395449744\t19.000000\n1395450345\t18.940000\n1395450945\t18.940000\n1395451546\t18.940000\n1395452146\t19.000000\n1395452747\t19.000000\n1395453347\t18.940000\n1395453948\t18.940000\n1395454548\t18.940000\n1395455149\t18.940000\n1395455750\t18.940000\n1395456350\t18.940000\n1395456951\t19.000000\n1395457551\t19.060000\n1395458167\t19.060000\n1395458767\t19.000000\n1395459368\t19.000000\n1395459968\t19.000000\n1395460569\t19.000000\n1395461170\t19.000000\n1395461770\t19.120000\n1395462371\t19.060000\n1395462971\t19.000000\n1395463572\t19.060000\n1395464172\t19.060000\n1395464773\t19.060000\n1395465374\t19.060000\n1395465974\t19.120000\n1395466575\t19.120000\n1395467175\t19.120000\n1395467776\t19.190000\n1395468376\t19.190000\n1395468977\t19.120000\n1395469577\t19.000000\n1395470178\t19.000000\n1395470778\t19.060000\n1395471379\t19.060000\n1395471979\t19.060000\n1395472580\t19.000000\n1395473181\t19.000000\n1395473781\t19.000000\n1395474382\t19.000000\n1395474982\t19.000000\n1395475583\t19.000000\n1395476183\t19.000000\n1395476784\t19.000000\n1395477384\t19.060000\n1395477985\t19.000000\n1395478585\t19.000000\n1395479201\t18.880000\n1395479802\t18.880000\n1395480402\t18.880000\n1395481003\t18.880000\n1395481603\t18.940000\n1395482204\t18.940000\n1395482804\t19.000000\n1395483405\t19.000000\n1395484005\t18.940000\n1395484606\t19.000000\n1395485206\t19.000000\n1395485807\t19.120000\n1395486407\t19.120000\n1395487008\t19.060000\n1395487609\t19.060000\n1395488209\t19.060000\n1395488810\t19.060000\n1395489410\t19.060000\n1395490011\t19.120000\n1395490611\t19.060000\n1395491212\t19.000000\n1395491812\t19.000000\n1395492413\t19.000000\n1395493014\t19.000000\n1395493614\t18.940000\n1395494215\t19.000000\n1395494830\t19.000000\n1395495431\t18.940000\n1395496031\t19.060000\n1395496632\t19.000000\n1395497232\t18.940000\n1395497833\t18.940000\n1395498434\t18.880000\n1395499034\t18.940000\n1395499635\t18.940000\n1395500235\t18.940000\n1395500836\t19.000000\n1395501436\t18.940000\n1395502037\t18.940000\n1395502637\t18.940000\n1395503238\t19.000000\n1395503839\t19.120000\n1395504439\t19.000000\n1395505040\t19.060000\n1395505640\t19.060000\n1395506241\t19.060000\n1395506841\t19.060000\n1395507442\t19.120000\n1395508042\t19.310000\n1395508643\t19.380000\n1395509244\t19.440000\n1395509844\t19.500000\n1395510445\t19.560000\n1395511045\t19.620000\n1395511646\t19.690000\n1395512246\t19.690000\n1395512847\t19.690000\n1395513447\t19.750000\n1395514063\t19.750000\n1395514664\t19.810000\n1395515264\t19.810000\n1395515865\t19.810000\n1395516465\t19.810000\n1395517066\t19.750000\n1395517666\t19.810000\n1395518267\t19.750000\n1395518867\t19.690000\n1395519468\t19.620000\n1395520069\t19.620000\n1395520669\t19.690000\n1395521270\t19.750000\n1395521870\t19.750000\n1395522471\t19.810000\n1395523071\t19.810000\n1395523672\t19.810000\n1395524272\t19.690000\n1395524873\t19.620000\n1395525473\t19.620000\n1395526074\t19.500000\n1395526675\t19.500000\n1395527275\t19.500000\n1395527876\t19.500000\n1395528476\t19.500000\n1395529077\t19.560000\n1395529677\t19.620000\n1395530278\t19.620000\n1395530878\t19.620000\n1395531479\t19.560000\n1395532080\t19.560000\n1395532695\t19.440000\n1395533296\t19.380000\n1395533896\t19.310000\n1395534497\t19.310000\n1395535097\t19.250000\n1395535698\t19.190000\n1395536298\t19.190000\n1395536899\t19.190000\n1395537500\t19.190000\n1395538100\t19.190000\n1395538701\t19.190000\n1395539301\t19.120000\n1395539902\t19.190000\n1395540502\t19.190000\n1395541103\t19.190000\n1395541703\t19.250000\n1395542304\t19.310000\n1395542905\t19.380000\n1395543505\t19.380000\n1395544106\t19.310000\n1395544706\t19.310000\n1395545307\t19.310000\n1395545907\t19.380000\n1395546508\t19.440000\n1395547108\t19.500000\n1395547709\t19.500000\n1395548309\t19.560000\n1395548910\t19.620000\n1395549510\t19.690000\n1395550111\t19.690000\n1395550712\t19.750000\n1395551312\t19.750000\n1395551913\t19.750000\n1395552528\t19.690000\n1395553129\t19.750000\n1395553729\t19.750000\n1395554330\t19.750000\n1395554930\t19.750000\n1395555531\t19.750000\n1395556132\t19.810000\n1395556732\t19.810000\n1395557333\t19.810000\n1395557933\t19.810000\n1395558534\t19.750000\n1395559134\t19.690000\n1395559735\t19.690000\n1395560335\t19.620000\n1395560936\t19.620000\n1395561536\t19.560000\n1395562137\t19.560000\n1395562738\t19.620000\n1395563338\t19.690000\n1395563939\t19.690000\n1395564539\t19.560000\n1395565140\t19.560000\n1395565740\t19.500000\n1395566341\t19.500000\n1395566941\t19.560000\n1395567542\t19.560000\n1395568142\t19.560000\n1395568758\t19.620000\n1395569359\t19.620000\n1395569959\t19.500000\n1395570560\t19.620000\n1395571160\t19.500000\n1395571761\t19.500000\n1395572361\t19.500000\n1395572962\t19.500000\n1395573562\t19.500000\n1395574163\t19.380000\n1395574764\t19.310000\n1395575364\t19.250000\n1395575965\t19.250000\n1395576565\t19.190000\n1395577166\t19.250000\n1395577766\t19.310000\n1395578367\t19.250000\n1395578967\t19.310000\n1395579568\t19.310000\n1395580169\t19.310000\n1395580769\t19.310000\n1395581370\t19.440000\n1395581970\t19.440000\n1395582571\t19.380000\n1395583171\t19.440000\n1395583772\t19.500000\n1395584373\t19.440000\n1395584973\t19.500000\n1395585574\t19.440000\n1395586174\t19.500000\n1395586775\t19.500000\n1395587375\t19.620000\n1395587976\t19.620000\n1395588591\t19.690000\n1395589192\t19.750000\n1395589793\t19.810000\n1395590393\t19.750000\n1395590994\t19.810000\n1395591594\t19.750000\n1395592195\t19.750000\n1395592795\t19.810000\n1395593396\t19.880000\n1395593996\t19.810000\n1395594597\t19.880000\n1395595198\t19.940000\n1395595798\t20.000000\n1395596399\t20.000000\n1395596999\t20.000000\n1395597600\t20.060000\n1395598200\t20.060000\n1395598801\t19.440000\n1395599401\t19.190000\n1395600002\t19.500000\n1395600602\t19.690000\n1395601203\t19.810000\n1395601804\t19.880000\n1395602404\t19.940000\n1395603005\t19.940000\n1395603605\t20.000000\n1395604206\t20.000000\n1395604806\t20.000000\n1395605407\t20.000000\n1395606007\t20.060000\n1395606608\t20.060000\n1395607209\t20.060000\n1395607824\t20.060000\n1395608425\t20.060000\n1395609025\t20.060000\n1395609626\t20.060000\n1395610226\t20.060000\n1395610827\t20.060000\n1395611428\t20.060000\n1395612028\t20.120000\n1395612629\t20.120000\n1395613229\t20.060000\n1395613830\t20.120000\n1395614430\t20.060000\n1395615031\t20.060000\n1395615631\t20.120000\n1395616232\t20.120000\n1395616832\t20.120000\n1395617433\t20.120000\n1395618034\t20.120000\n1395618634\t20.120000\n1395619235\t20.120000\n1395619835\t20.120000\n1395620436\t20.060000\n1395621036\t20.120000\n1395621637\t20.120000\n1395622237\t20.120000\n1395622838\t20.120000\n1395623438\t20.120000\n1395624039\t20.120000\n1395624640\t20.060000\n1395625240\t20.120000\n1395625841\t20.060000\n1395626441\t20.120000\n1395627057\t20.120000\n1395627657\t20.120000\n1395628258\t20.060000\n1395628858\t20.120000\n1395629459\t20.120000\n1395630060\t20.120000\n1395630660\t20.060000\n1395631261\t20.120000\n1395631861\t20.060000\n1395632462\t20.060000\n1395633062\t20.060000\n1395633663\t20.060000\n1395634263\t20.060000\n1395634864\t20.120000\n1395635464\t20.120000\n1395636065\t20.120000\n1395636666\t20.120000\n1395637266\t20.120000\n1395637867\t20.060000\n1395638467\t20.120000\n1395639068\t20.120000\n1395639668\t20.120000\n1395640269\t20.060000\n1395640870\t20.120000\n1395641470\t20.120000\n1395642071\t20.190000\n1395642671\t20.120000\n1395643272\t20.120000\n1395643872\t20.120000\n1395644473\t20.120000\n1395645073\t20.120000\n1395645674\t20.190000\n1395646275\t20.120000\n1395646890\t20.120000\n1395647491\t20.120000\n1395648091\t20.120000\n1395648692\t20.120000\n1395649292\t20.190000\n1395649893\t20.120000\n1395650493\t20.060000\n1395651094\t20.060000\n1395651695\t20.120000\n1395652295\t20.060000\n1395652896\t20.120000\n1395653496\t20.120000\n1395654097\t20.190000\n1395654697\t20.190000\n1395655298\t20.190000\n1395655898\t20.250000\n1395656499\t20.250000\n1395657100\t20.190000\n1395657700\t20.250000\n1395658301\t20.250000\n1395658901\t20.310000\n1395659502\t20.310000\n1395660102\t20.310000\n1395660703\t20.310000\n1395661303\t20.310000\n1395661904\t20.380000\n1395662504\t20.380000\n1395663120\t20.380000\n1395663720\t20.380000\n1395664321\t20.380000\n1395664922\t20.380000\n1395665522\t20.380000\n1395666123\t20.440000\n1395666723\t20.440000\n1395667324\t20.440000\n1395667924\t20.440000\n1395668525\t20.440000\n1395669126\t20.500000\n1395669726\t20.440000\n1395670327\t20.440000\n1395670927\t20.440000\n1395671528\t20.500000\n1395672128\t20.440000\n1395672729\t20.440000\n1395673329\t20.250000\n1395673930\t20.380000\n1395674531\t20.440000\n1395675131\t20.380000\n1395675732\t20.380000\n1395676332\t20.380000\n1395676933\t20.440000\n1395677533\t20.440000\n1395678134\t20.500000\n1395678734\t20.440000\n1395679335\t20.500000\n1395679936\t20.500000\n1395680536\t20.500000\n1395681137\t20.500000\n1395681737\t20.500000\n1395682353\t20.500000\n1395682953\t20.500000\n1395683554\t20.500000\n1395684154\t20.500000\n1395684755\t20.500000\n1395685356\t20.500000\n1395685956\t20.440000\n1395686557\t20.440000\n1395687157\t20.440000\n1395687758\t19.060000\n1395688358\t19.190000\n1395688959\t19.690000\n1395689559\t19.940000\n1395690160\t20.000000\n1395690760\t20.120000\n1395691361\t20.190000\n1395691962\t20.250000\n1395692562\t20.190000\n1395693163\t20.250000\n1395693763\t20.250000\n1395694364\t20.250000\n1395694964\t20.310000\n1395695565\t20.310000\n1395696166\t20.310000\n1395696766\t20.310000\n1395697367\t20.310000\n1395697967\t20.310000\n1395698568\t20.310000\n1395699168\t20.310000\n1395699769\t20.310000\n1395700369\t20.310000\n1395700985\t20.310000\n1395701585\t20.310000\n1395702186\t20.310000\n1395702787\t20.250000\n1395703387\t20.310000\n1395703988\t20.310000\n1395704588\t20.310000\n1395705189\t20.310000\n1395705789\t20.250000\n1395706390\t20.250000\n1395706990\t20.250000\n1395707591\t20.250000\n1395708192\t20.250000\n1395708792\t20.250000\n1395709393\t20.190000\n1395709993\t20.250000\n1395710594\t20.250000\n1395711194\t20.190000\n1395711795\t20.190000\n1395712395\t20.190000\n1395712996\t20.250000\n1395713596\t20.190000\n1395714197\t20.190000\n1395714798\t20.190000\n1395715398\t20.190000\n1395715999\t20.190000\n1395716599\t20.190000\n1395717200\t20.190000\n1395717800\t20.120000\n1395718401\t20.190000\n1395719001\t20.190000\n1395719617\t20.120000\n1395720217\t20.120000\n1395720818\t20.120000\n1395721418\t20.120000\n1395722019\t20.120000\n1395722620\t20.120000\n1395723220\t20.120000\n1395723821\t20.120000\n1395724421\t20.120000\n1395725022\t20.120000\n1395725622\t20.120000\n1395726223\t20.120000\n1395726823\t20.120000\n1395727424\t20.120000\n1395728024\t20.120000\n1395728625\t20.120000\n1395729226\t20.060000\n1395729826\t20.060000\n1395730427\t20.060000\n1395731027\t20.060000\n1395731628\t20.060000\n1395732228\t20.000000\n1395732829\t19.940000\n1395733429\t20.000000\n1395734045\t20.000000\n1395734645\t19.940000\n1395735246\t19.940000\n1395735847\t19.940000\n1395736447\t19.880000\n1395737048\t19.810000\n1395737648\t19.810000\n1395738249\t19.810000\n1395738849\t19.750000\n1395739450\t19.750000\n1395740050\t19.750000\n1395740651\t19.750000\n1395741251\t19.750000\n1395741852\t19.690000\n1395742453\t19.620000\n1395743053\t19.560000\n1395743654\t19.500000\n1395744254\t19.500000\n1395744855\t19.500000\n1395745455\t19.500000\n1395746056\t19.440000\n1395746656\t19.440000\n1395747257\t19.500000\n1395747857\t19.560000\n1395748458\t19.440000\n1395749059\t19.500000\n1395749674\t19.500000\n1395750275\t19.440000\n1395750875\t19.440000\n1395751476\t19.440000\n1395752076\t19.440000\n1395752677\t19.380000\n1395753277\t19.380000\n1395753878\t19.380000\n1395754479\t19.380000\n1395755079\t19.310000\n1395755680\t19.250000\n1395756280\t19.250000\n1395756881\t19.250000\n1395757481\t19.120000\n1395758082\t19.190000\n1395758682\t19.250000\n1395759283\t19.250000\n1395759884\t19.310000\n1395760484\t19.380000\n1395761085\t19.250000\n1395761685\t19.250000\n1395762286\t19.250000\n1395762886\t19.250000\n1395763487\t19.310000\n1395764088\t19.310000\n1395764688\t19.380000\n1395765289\t19.440000\n1395765889\t19.380000\n1395766490\t19.380000\n1395767090\t19.380000\n1395767691\t19.310000\n1395768306\t19.310000\n1395768907\t19.310000\n1395769508\t19.310000\n1395770108\t19.250000\n1395770709\t19.250000\n1395771309\t19.190000\n1395771910\t19.120000\n1395772510\t19.120000\n1395773111\t19.060000\n1395773711\t19.060000\n1395774312\t19.060000\n1395774912\t19.000000\n1395775513\t18.940000\n1395776114\t18.940000\n1395776714\t18.810000\n1395777315\t18.810000\n1395777915\t18.810000\n1395778516\t18.810000\n1395779116\t18.810000\n1395779717\t18.750000\n1395780317\t18.690000\n1395780918\t18.690000\n1395781519\t18.750000\n1395782119\t18.750000\n1395782720\t18.690000\n1395783320\t18.690000\n1395783921\t18.620000\n1395784521\t18.500000\n1395785122\t18.440000\n1395785722\t18.380000\n1395786323\t18.380000\n1395786923\t18.380000\n1395787524\t18.440000\n1395788139\t18.440000\n1395788740\t18.440000\n1395789341\t18.500000\n1395789941\t18.440000\n1395790542\t18.250000\n1395791142\t18.120000\n1395791743\t18.000000\n1395792343\t17.940000\n1395792944\t17.880000\n1395793544\t17.810000\n1395794145\t17.750000\n1395794746\t17.750000\n1395795346\t17.750000\n1395795947\t17.810000\n1395796547\t17.810000\n1395797148\t17.810000\n1395797748\t17.880000\n1395798349\t17.880000\n1395798949\t17.880000\n1395799550\t17.810000\n1395800150\t17.880000\n1395800751\t17.880000\n1395801351\t17.880000\n1395801952\t17.880000\n1395802552\t17.750000\n1395803153\t17.750000\n1395803753\t17.690000\n1395804354\t17.620000\n1395804954\t17.690000\n1395805555\t17.690000\n1395806171\t17.750000\n1395806771\t17.810000\n1395807372\t17.810000\n1395807972\t17.810000\n1395808573\t17.810000\n1395809173\t17.810000\n1395809774\t17.750000\n1395810374\t17.810000\n1395810975\t17.880000\n1395811575\t17.880000\n1395812176\t17.880000\n1395812776\t17.880000\n1395813377\t17.880000\n1395813978\t17.940000\n1395814578\t18.000000\n1395815179\t18.060000\n1395815779\t18.060000\n1395816380\t18.060000\n1395816980\t18.060000\n1395817581\t18.120000\n1395818181\t18.120000\n1395818782\t18.190000\n1395819383\t18.250000\n1395819983\t18.250000\n1395820584\t18.250000\n1395821184\t18.250000\n1395821785\t18.310000\n1395822385\t18.310000\n1395822986\t18.380000\n1395823586\t18.440000\n1395824187\t18.440000\n1395824787\t18.440000\n1395825403\t18.440000\n1395826004\t18.500000\n1395826604\t18.500000\n1395827205\t18.500000\n1395827805\t18.500000\n1395828406\t18.560000\n1395829006\t18.560000\n1395829607\t18.620000\n1395830208\t18.690000\n1395830808\t18.690000\n1395831409\t18.750000\n1395832009\t18.750000\n1395832610\t18.810000\n1395833210\t18.810000\n1395833811\t18.880000\n1395834411\t18.880000\n1395835012\t18.880000\n1395835612\t18.940000\n1395836213\t18.940000\n1395836814\t18.940000\n1395837414\t18.940000\n1395838015\t19.000000\n1395838615\t19.000000\n1395839216\t19.060000\n1395839816\t19.000000\n1395840417\t19.060000\n1395841017\t19.060000\n1395841633\t19.060000\n1395842234\t19.000000\n1395842834\t18.940000\n1395843435\t18.880000\n1395844035\t18.880000\n1395844636\t18.750000\n1395845236\t18.750000\n1395845837\t18.750000\n1395846437\t18.690000\n1395847038\t18.620000\n1395847639\t18.620000\n1395848239\t18.620000\n1395848840\t18.620000\n1395849440\t18.690000\n1395850041\t18.690000\n1395850641\t18.750000\n1395851242\t18.750000\n1395851842\t18.750000\n1395852443\t18.750000\n1395853043\t18.750000\n1395853644\t18.750000\n1395854245\t18.810000\n1395854845\t18.880000\n1395855446\t18.940000\n1395856046\t19.000000\n1395856647\t18.940000\n1395857262\t19.000000\n1395857863\t19.000000\n1395858463\t19.060000\n1395859064\t19.060000\n1395859665\t19.060000\n1395860265\t19.060000\n1395860866\t19.060000\n1395861466\t19.060000\n1395862067\t19.120000\n1395862667\t19.120000\n1395863268\t19.120000\n1395863869\t19.060000\n1395864469\t19.060000\n1395865070\t19.060000\n1395865670\t19.060000\n1395866271\t19.120000\n1395866871\t19.120000\n1395867472\t19.120000\n1395868072\t19.120000\n1395868673\t19.190000\n1395869273\t19.190000\n1395869874\t19.190000\n1395870474\t19.190000\n1395871075\t19.190000\n1395871676\t19.120000\n1395872276\t19.190000\n1395872877\t19.190000\n1395873477\t19.190000\n1395874078\t19.190000\n1395874678\t19.250000\n1395875279\t19.190000\n1395875879\t19.190000\n1395876480\t19.250000\n1395877095\t19.250000\n1395877696\t19.250000\n1395878297\t19.250000\n1395878897\t19.250000\n1395879498\t19.250000\n1395880098\t19.190000\n1395880699\t19.250000\n1395881299\t19.310000\n1395881900\t19.310000\n1395882500\t19.310000\n1395883101\t19.310000\n1395883701\t19.310000\n1395884302\t19.310000\n1395884902\t19.310000\n1395885503\t19.310000\n1395886104\t19.380000\n1395886704\t19.380000\n1395887305\t19.380000\n1395887905\t19.380000\n1395888506\t19.380000\n1395889106\t19.380000\n1395889707\t19.310000\n1395890307\t19.380000\n1395890908\t19.380000\n1395891508\t19.380000\n1395892109\t19.310000\n1395892709\t19.310000\n1395893310\t19.380000\n1395893925\t19.310000\n1395894526\t19.310000\n1395895127\t19.310000\n1395895727\t19.310000\n1395896328\t19.310000\n1395896928\t19.250000\n1395897529\t19.250000\n1395898129\t19.250000\n1395898730\t19.250000\n1395899331\t19.250000\n1395899931\t19.250000\n1395900532\t19.250000\n1395901132\t19.250000\n1395901733\t19.250000\n1395902333\t19.310000\n1395902934\t19.250000\n1395903534\t19.310000\n1395904135\t19.310000\n1395904736\t19.250000\n1395905336\t19.310000\n1395905937\t19.250000\n1395906537\t19.250000\n1395907138\t19.250000\n1395907738\t19.310000\n1395908339\t19.310000\n1395908939\t19.250000\n1395909540\t19.250000\n1395910140\t19.250000\n1395910741\t19.190000\n1395911342\t19.250000\n1395911942\t19.250000\n1395912543\t19.250000\n1395913143\t19.250000\n1395913759\t19.250000\n1395914359\t19.190000\n1395914960\t19.190000\n1395915560\t19.190000\n1395916161\t19.190000\n1395916762\t19.190000\n1395917362\t19.190000\n1395917963\t19.190000\n1395918563\t19.190000\n1395919164\t19.190000\n1395919764\t19.190000\n1395920365\t19.190000\n1395920965\t19.250000\n1395921566\t19.310000\n1395922166\t19.250000\n1395922767\t19.250000\n1395923368\t19.310000\n1395923968\t19.310000\n1395924569\t19.310000\n1395925169\t19.310000\n1395925770\t19.380000\n1395926370\t19.380000\n1395926971\t19.310000\n1395927572\t19.380000\n1395928172\t19.380000\n1395928773\t19.380000\n1395929373\t19.440000\n1395929974\t19.440000\n1395930574\t19.500000\n1395931175\t19.500000\n1395931775\t19.500000\n1395932376\t19.560000\n1395932977\t19.560000\n1395933592\t19.560000\n1395934193\t19.620000\n1395934793\t19.560000\n1395935394\t19.620000\n1395935994\t19.690000\n1395936595\t19.690000\n1395937195\t19.690000\n1395937796\t19.750000\n1395938397\t19.750000\n1395938997\t19.750000\n1395939598\t19.810000\n1395940198\t19.750000\n1395940799\t19.810000\n1395941399\t19.810000\n1395942000\t19.810000\n1395942600\t19.810000\n1395943201\t19.810000\n1395943801\t19.810000\n1395944402\t19.810000\n1395945002\t19.810000\n1395945603\t19.810000\n1395946204\t19.750000\n1395946804\t19.810000\n1395947405\t19.810000\n1395948005\t19.810000\n1395948606\t19.750000\n1395949206\t19.690000\n1395949807\t19.750000\n1395950407\t19.750000\n1395951008\t19.690000\n1395951609\t19.750000\n1395952209\t19.690000\n1395952825\t19.750000\n1395953425\t19.560000\n1395954026\t19.690000\n1395954626\t19.750000\n1395955227\t19.810000\n1395955827\t19.810000\n1395956428\t19.810000\n1395957028\t19.750000\n1395957629\t19.750000\n1395958230\t19.750000\n1395958830\t19.750000\n1395959431\t19.750000\n1395960031\t19.750000\n1395960632\t19.750000\n1395961232\t19.750000\n1395961833\t19.750000\n1395962433\t19.750000\n1395963034\t19.690000\n1395963634\t19.690000\n1395964235\t19.690000\n1395964836\t19.690000\n1395965436\t19.690000\n1395966037\t19.750000\n1395966637\t19.750000\n1395967238\t19.810000\n1395967838\t19.750000\n1395968439\t19.750000\n1395969039\t19.810000\n1395969640\t19.810000\n1395970255\t19.810000\n1395970856\t19.810000\n1395971457\t19.810000\n1395972057\t19.810000\n1395972658\t19.810000\n1395973258\t19.810000\n1395973859\t19.810000\n1395974459\t19.810000\n1395975060\t19.810000\n1395975660\t19.810000\n1395976261\t19.810000\n1395976862\t19.810000\n1395977462\t19.750000\n1395978063\t19.750000\n1395978663\t19.750000\n1395979264\t19.750000\n1395979864\t19.750000\n1395980465\t19.750000\n1395981065\t19.750000\n1395981666\t19.750000\n1395982266\t19.750000\n1395982867\t19.750000\n1395983468\t19.690000\n1395984068\t19.690000\n1395984669\t19.690000\n1395985269\t19.690000\n1395985870\t19.690000\n1395986485\t19.620000\n1395987086\t19.620000\n1395987686\t19.690000\n1395988287\t19.690000\n1395988888\t19.690000\n1395989488\t19.690000\n1395990089\t19.690000\n1395990689\t19.690000\n1395991290\t19.690000\n1395991890\t19.620000\n1395992491\t19.620000\n1395993091\t19.620000\n1395993692\t19.620000\n1395994292\t19.620000\n1395994893\t19.620000\n1395995494\t19.620000\n1395996094\t19.620000\n1395996695\t19.690000\n1395997295\t19.690000\n1395997896\t19.690000\n1395998496\t19.690000\n1395999097\t19.690000\n1395999697\t19.690000\n1396000298\t19.690000\n1396000898\t19.750000\n1396001499\t19.690000\n1396002100\t19.750000\n1396002700\t19.750000\n1396003301\t19.750000\n1396003901\t19.750000\n1396004502\t19.750000\n1396005117\t19.750000\n1396005718\t19.750000\n1396006318\t19.750000\n1396006919\t19.750000\n1396007520\t19.750000\n1396008120\t19.750000\n1396008721\t19.750000\n1396009321\t19.750000\n1396009922\t19.750000\n1396010522\t19.810000\n1396011123\t19.810000\n1396011723\t19.810000\n1396012324\t19.810000\n1396012925\t19.880000\n1396013525\t19.880000\n1396014126\t19.880000\n1396014726\t19.940000\n1396015327\t19.940000\n1396015927\t19.940000\n1396016528\t20.000000\n1396017128\t20.000000\n1396017729\t20.000000\n1396018329\t20.060000\n1396018930\t20.060000\n1396019531\t20.060000\n1396020131\t20.120000\n1396020732\t20.120000\n1396021332\t20.120000\n1396021948\t20.190000\n1396022548\t20.190000\n1396023149\t20.190000\n1396023749\t20.250000\n1396024350\t20.250000\n1396024951\t20.250000\n1396025551\t20.250000\n1396026152\t20.250000\n1396026752\t20.250000\n1396027353\t20.310000\n1396027953\t20.310000\n1396028554\t20.310000\n1396029154\t20.250000\n1396029755\t20.310000\n1396030356\t20.310000\n1396030956\t20.310000\n1396031557\t20.310000\n1396032157\t20.310000\n1396032758\t20.310000\n1396033358\t20.310000\n1396033959\t20.310000\n1396034559\t20.250000\n1396035160\t20.310000\n1396035761\t20.310000\n1396036361\t20.310000\n1396036962\t20.250000\n1396037562\t20.250000\n1396038163\t20.250000\n1396038763\t20.310000\n1396039364\t20.250000\n1396039964\t20.250000\n1396040565\t20.250000\n1396041180\t20.250000\n1396041781\t20.250000\n1396042382\t20.250000\n1396042982\t20.250000\n1396043583\t20.250000\n1396044183\t20.250000\n1396044784\t20.250000\n1396045384\t20.250000\n1396045985\t20.250000\n1396046585\t20.250000\n1396047186\t20.250000\n1396047786\t20.250000\n1396048387\t20.250000\n1396048988\t20.250000\n1396049588\t20.250000\n1396050189\t20.250000\n1396050789\t20.250000\n1396051390\t20.250000\n1396051990\t20.190000\n1396052591\t20.250000\n1396053191\t20.250000\n1396053792\t20.250000\n1396054392\t20.250000\n1396054993\t20.250000\n1396055593\t20.190000\n1396056194\t20.250000\n1396056794\t20.190000\n1396057395\t20.190000\n1396057996\t20.190000\n1396058596\t20.190000\n1396059197\t20.190000\n1396059812\t20.190000\n1396060413\t20.120000\n1396061013\t20.120000\n1396061614\t20.120000\n1396062214\t20.120000\n1396062815\t20.120000\n1396063415\t20.120000\n1396064016\t20.120000\n1396064617\t20.120000\n1396065217\t20.120000\n1396065818\t20.120000\n1396066418\t20.120000\n1396067019\t20.060000\n1396067619\t20.120000\n1396068220\t20.120000\n1396068821\t20.060000\n1396069421\t20.060000\n1396070022\t20.060000\n1396070622\t20.060000\n1396071223\t20.060000\n1396071823\t20.060000\n1396072424\t20.060000\n1396073024\t20.060000\n1396073625\t20.060000\n1396074225\t20.060000\n1396074826\t20.060000\n1396075427\t20.060000\n1396076027\t20.060000\n1396076628\t20.060000\n1396077243\t20.060000\n1396077844\t20.060000\n1396078444\t20.060000\n1396079045\t20.060000\n1396079645\t20.060000\n1396080246\t20.120000\n1396080847\t20.120000\n1396081447\t20.120000\n1396082048\t20.120000\n1396082648\t20.120000\n1396083249\t20.120000\n1396083849\t20.120000\n1396084450\t20.120000\n1396085050\t20.120000\n1396085651\t20.120000\n1396086252\t20.120000\n1396086852\t20.120000\n1396087453\t20.060000\n1396088053\t19.940000\n1396088654\t20.000000\n1396089254\t20.060000\n1396089855\t20.060000\n1396090455\t20.120000\n1396091056\t20.190000\n1396091656\t20.190000\n1396092272\t20.190000\n1396092873\t20.250000\n1396093473\t20.250000\n1396094074\t20.250000\n1396094674\t20.250000\n1396095275\t20.190000\n1396095875\t20.250000\n1396096476\t20.310000\n1396097076\t20.310000\n1396097677\t20.310000\n1396098278\t20.310000\n1396098878\t20.380000\n1396099479\t20.310000\n1396100079\t20.380000\n1396100680\t20.380000\n1396101280\t20.380000\n1396101881\t20.440000\n1396102481\t20.380000\n1396103082\t20.440000\n1396103683\t20.440000\n1396104283\t20.500000\n1396104884\t20.500000\n1396105484\t20.500000\n1396106085\t20.500000\n1396106685\t20.560000\n1396107286\t20.560000\n1396107886\t20.560000\n1396108487\t20.620000\n1396109088\t20.620000\n1396109688\t20.690000\n1396110289\t20.690000\n1396110904\t20.620000\n1396111505\t20.690000\n1396112105\t20.690000\n1396112706\t20.750000\n1396113307\t20.750000\n1396113907\t20.750000\n1396114508\t20.750000\n1396115108\t20.750000\n1396115709\t20.750000\n1396116309\t20.810000\n1396116910\t20.750000\n1396117510\t20.750000\n1396118111\t20.810000\n1396118711\t20.810000\n1396119312\t20.810000\n1396119912\t20.810000\n1396120513\t20.810000\n1396121114\t20.810000\n1396121714\t20.810000\n1396122315\t20.810000\n1396122915\t20.880000\n1396123516\t20.880000\n1396124116\t20.810000\n1396124717\t20.880000\n1396125317\t20.880000\n1396125918\t20.880000\n1396126518\t20.810000\n1396127119\t20.880000\n1396127720\t20.810000\n1396128320\t20.880000\n1396128921\t20.880000\n1396129521\t20.880000\n1396130137\t20.880000\n1396130737\t20.880000\n1396131338\t20.810000\n1396131938\t20.880000\n1396132539\t20.880000\n1396133139\t20.880000\n1396133740\t20.880000\n1396134341\t20.880000\n1396134941\t20.880000\n1396135542\t20.880000\n1396136142\t20.940000\n1396136743\t20.940000\n1396137343\t20.940000\n1396137944\t20.940000\n1396138544\t20.940000\n1396139145\t20.940000\n1396139745\t20.940000\n1396140346\t20.940000\n1396140946\t20.940000\n1396141547\t20.940000\n1396142148\t20.940000\n1396142748\t20.940000\n1396143349\t20.940000\n1396143949\t20.940000\n1396144550\t20.940000\n1396145150\t20.880000\n1396145766\t20.880000\n1396146366\t20.880000\n1396146967\t20.880000\n1396147568\t20.880000\n1396148168\t20.880000\n1396148769\t20.880000\n1396149369\t20.880000\n1396149970\t20.880000\n1396150570\t20.880000\n1396151171\t20.880000\n1396151771\t20.880000\n1396152372\t20.880000\n1396152972\t20.880000\n1396153573\t20.880000\n1396154174\t20.940000\n1396154774\t20.940000\n1396155375\t20.940000\n1396155975\t20.880000\n1396156576\t20.880000\n1396157176\t20.940000\n1396157777\t20.940000\n1396158377\t20.940000\n1396158978\t20.940000\n1396159578\t20.940000\n1396160194\t20.940000\n1396160794\t20.940000\n1396161395\t20.940000\n1396161996\t20.940000\n1396162596\t20.940000\n1396163197\t20.880000\n1396163797\t20.880000\n1396164398\t20.880000\n1396164998\t20.810000\n1396165599\t20.750000\n1396166200\t20.810000\n1396166800\t20.810000\n1396167401\t20.810000\n1396168001\t20.750000\n1396168602\t20.750000\n1396169202\t20.750000\n1396169803\t20.810000\n1396170403\t20.810000\n1396171004\t20.810000\n1396171605\t20.810000\n1396172205\t20.810000\n1396172806\t20.880000\n1396173406\t20.880000\n1396174007\t20.940000\n1396174607\t20.940000\n1396175208\t21.000000\n1396175808\t21.000000\n1396176409\t21.000000\n1396177009\t21.000000\n1396177610\t21.060000\n1396178211\t21.060000\n1396178826\t21.000000\n1396179427\t21.060000\n1396180027\t21.060000\n1396180628\t21.060000\n1396181228\t21.000000\n1396181829\t21.000000\n1396182429\t21.000000\n1396183030\t21.060000\n1396183630\t21.060000\n1396184231\t21.060000\n1396184832\t21.120000\n1396185432\t21.120000\n1396186033\t21.190000\n1396186633\t21.190000\n1396187234\t21.190000\n1396187834\t21.190000\n1396188435\t21.250000\n1396189035\t21.250000\n1396189636\t21.250000\n1396190237\t21.310000\n1396190837\t21.310000\n1396191438\t21.250000\n1396192038\t21.250000\n1396192639\t21.250000\n1396193239\t21.310000\n1396193840\t21.310000\n1396194440\t21.310000\n1396195041\t21.380000\n1396195641\t21.380000\n1396196242\t21.380000\n1396196843\t21.380000\n1396197458\t21.380000\n1396198059\t21.380000\n1396198659\t21.440000\n1396199260\t21.440000\n1396199860\t21.440000\n1396200461\t21.440000\n1396201061\t21.440000\n1396201662\t21.440000\n1396202262\t21.440000\n1396202863\t21.440000\n1396203464\t21.440000\n1396204064\t21.440000\n1396204665\t21.440000\n1396205265\t21.440000\n1396205866\t21.500000\n1396206466\t21.500000\n1396207067\t21.500000\n1396207667\t21.440000\n1396208268\t21.500000\n1396208869\t21.500000\n1396209469\t21.500000\n1396210070\t21.500000\n1396210670\t21.500000\n1396211271\t21.500000\n1396211871\t21.500000\n1396212472\t21.500000\n1396213072\t21.500000\n1396213673\t21.500000\n1396214289\t21.500000\n1396214889\t21.500000\n1396215490\t21.560000\n1396216090\t21.560000\n1396216691\t21.560000\n1396217291\t21.560000\n1396217892\t21.560000\n1396218492\t21.560000\n1396219093\t21.560000\n1396219693\t21.560000\n1396220294\t21.560000\n1396220895\t21.560000\n1396221495\t21.560000\n1396222096\t21.560000\n1396222696\t21.560000\n1396223297\t21.620000\n1396223897\t21.560000\n1396224498\t21.620000\n1396225098\t21.560000\n1396225699\t21.560000\n1396226299\t21.560000\n1396226900\t21.560000\n1396227500\t21.560000\n1396228101\t21.560000\n1396228701\t21.560000\n1396229302\t21.560000\n1396229902\t21.560000\n1396230503\t21.560000\n1396231104\t21.620000\n1396231704\t21.620000\n1396232305\t21.620000\n1396232920\t21.560000\n1396233521\t21.560000\n1396234121\t21.620000\n1396234722\t21.620000\n1396235322\t21.620000\n1396235923\t21.620000\n1396236524\t21.560000\n1396237124\t21.560000\n1396237725\t21.560000\n1396238325\t21.560000\n1396238926\t21.560000\n1396239526\t21.560000\n1396240127\t21.560000\n1396240727\t21.560000\n1396241328\t21.560000\n1396241928\t21.500000\n1396242529\t21.560000\n1396243130\t21.560000\n1396243730\t21.500000\n1396244331\t21.500000\n1396244931\t21.500000\n1396245532\t21.440000\n1396246132\t21.440000\n1396246733\t21.440000\n1396247333\t21.440000\n1396247934\t21.380000\n1396248535\t21.380000\n1396249135\t21.380000\n1396249736\t21.380000\n1396250351\t21.310000\n1396250952\t21.310000\n1396251552\t21.310000\n1396252153\t21.380000\n1396252754\t21.310000\n1396253354\t21.310000\n1396253955\t21.310000\n1396254555\t21.310000\n1396255156\t21.310000\n1396255756\t21.380000\n1396256357\t21.380000\n1396256957\t21.380000\n1396257558\t21.440000\n1396258158\t21.440000\n1396258759\t21.440000\n1396259360\t21.440000\n1396259960\t21.500000\n1396260561\t21.500000\n1396261161\t21.500000\n1396261762\t21.500000\n1396262362\t21.500000\n1396262963\t21.500000\n1396263563\t21.500000\n1396264164\t21.500000\n1396264764\t21.500000\n1396265365\t21.500000\n1396265966\t21.500000\n1396266566\t21.500000\n1396267167\t21.500000\n1396267767\t21.500000\n1396268368\t21.500000\n1396268968\t21.500000\n1396269584\t21.500000\n1396270184\t21.500000\n1396270785\t21.500000\n1396271386\t21.560000\n1396271986\t21.560000\n1396272587\t21.560000\n1396273187\t21.560000\n1396273788\t21.560000\n1396274388\t21.560000\n1396274989\t21.560000\n1396275589\t21.560000\n1396276190\t21.620000\n1396276791\t21.620000\n1396277391\t21.620000\n1396277992\t21.620000\n1396278592\t21.620000\n1396279193\t21.620000\n1396279793\t21.620000\n1396280394\t21.620000\n1396280994\t21.620000\n1396281595\t21.620000\n1396282196\t21.620000\n1396282796\t21.690000\n1396283397\t21.620000\n1396283997\t21.690000\n1396284598\t21.690000\n1396285198\t21.690000\n1396285814\t21.620000\n1396286414\t21.690000\n1396287015\t21.690000\n1396287615\t21.690000\n1396288216\t21.690000\n1396288817\t21.690000\n1396289417\t21.620000\n1396290018\t21.620000\n1396290618\t21.620000\n1396291219\t21.620000\n1396291819\t21.620000\n1396292420\t21.620000\n1396293020\t21.620000\n1396293621\t21.620000\n1396294222\t21.620000\n1396294822\t21.620000\n1396295423\t21.560000\n1396296023\t21.620000\n1396296624\t21.620000\n1396297224\t21.620000\n1396297825\t21.560000\n1396298425\t21.620000\n1396299026\t21.560000\n1396299626\t21.560000\n1396300227\t21.560000\n1396300828\t21.560000\n1396301428\t21.560000\n1396302029\t21.560000\n1396302629\t21.560000\n1396303230\t21.560000\n1396303830\t21.560000\n1396304446\t21.560000\n1396305046\t21.560000\n1396305647\t21.560000\n1396306248\t21.560000\n1396306848\t21.500000\n1396307449\t21.500000\n1396308049\t21.560000\n1396308650\t21.500000\n1396309250\t21.500000\n1396309851\t21.500000\n1396310451\t21.500000\n1396311052\t21.500000\n1396311653\t21.500000\n1396312253\t21.500000\n1396312854\t21.440000\n1396313454\t21.440000\n1396314055\t21.440000\n1396314655\t21.440000\n1396315256\t21.440000\n1396315856\t21.440000\n1396316457\t21.440000\n1396317057\t21.440000\n1396317658\t21.440000\n1396318259\t21.440000\n1396318859\t21.440000\n1396319460\t21.380000\n1396320060\t21.380000\n1396320661\t21.380000\n1396321261\t21.380000\n1396321862\t21.310000\n1396322463\t21.310000\n1396323078\t21.310000\n1396323679\t21.310000\n1396324279\t21.310000\n1396324880\t21.310000\n1396325480\t21.310000\n1396326081\t21.310000\n1396326681\t21.310000\n1396327282\t21.310000\n1396327882\t21.310000\n1396328483\t21.310000\n1396329084\t21.250000\n1396329684\t21.250000\n1396330285\t21.250000\n1396330885\t21.250000\n1396331486\t21.190000\n1396332086\t21.190000\n1396332687\t21.190000\n1396333287\t21.190000\n1396333888\t21.120000\n1396334488\t21.120000\n1396335089\t21.120000\n1396335689\t21.190000\n1396336290\t21.190000\n1396336890\t21.120000\n1396337491\t21.120000\n1396338091\t21.120000\n1396338692\t21.120000\n1396339292\t21.120000\n1396339893\t21.060000\n1396340493\t21.060000\n1396341094\t21.060000\n1396341695\t21.060000\n1396342295\t21.060000\n1396342896\t21.060000\n1396343496\t21.060000\n1396344097\t21.060000\n1396344712\t21.060000\n1396345313\t21.060000\n1396345914\t21.060000\n1396346514\t21.060000\n1396347115\t21.120000\n1396347715\t21.120000\n1396348316\t21.120000\n1396348916\t21.120000\n1396349517\t21.060000\n1396350117\t21.060000\n1396350718\t21.060000\n1396351318\t21.120000\n1396351919\t21.120000\n1396352520\t21.120000\n1396353120\t21.060000\n1396353721\t21.060000\n1396354321\t21.000000\n1396354922\t21.060000\n1396355522\t21.120000\n1396356123\t21.060000\n1396356724\t21.060000\n1396357324\t21.060000\n1396357925\t21.060000\n1396358525\t21.060000\n1396359126\t21.060000\n1396359726\t21.060000\n1396360327\t21.000000\n1396360927\t21.000000\n1396361528\t21.000000\n1396362128\t21.060000\n1396362729\t21.060000\n1396363330\t21.060000\n1396363945\t21.060000\n1396364546\t20.750000\n1396365146\t20.750000\n1396365747\t20.880000\n1396366347\t21.000000\n1396366948\t21.060000\n1396367548\t21.060000\n1396368149\t21.060000\n1396368749\t21.000000\n1396369350\t21.000000\n1396369951\t21.000000\n1396370551\t21.000000\n1396371152\t21.000000\n1396371752\t21.000000\n1396372353\t21.000000\n1396372953\t21.060000\n1396373554\t21.060000\n1396374154\t21.060000\n1396374755\t21.060000\n1396375356\t21.060000\n1396375956\t21.060000\n1396376557\t21.060000\n1396377157\t21.060000\n1396377758\t21.000000\n1396378358\t21.000000\n1396378959\t21.000000\n1396379560\t21.000000\n1396380160\t21.000000\n1396380761\t21.000000\n1396381361\t21.000000\n1396381962\t21.000000\n1396382562\t20.940000\n1396383178\t21.000000\n1396383778\t21.000000\n1396384379\t20.940000\n1396384980\t20.940000\n1396385580\t20.940000\n1396386181\t20.940000\n1396386781\t20.940000\n1396387382\t20.940000\n1396387982\t20.880000\n1396388583\t20.880000\n1396389183\t20.880000\n1396389784\t20.880000\n1396390385\t20.880000\n1396390985\t20.880000\n1396391586\t20.880000\n1396392186\t20.880000\n1396392787\t20.880000\n1396393387\t20.880000\n1396393988\t20.880000\n1396394588\t20.880000\n1396395189\t20.880000\n1396395790\t20.880000\n1396396390\t20.880000\n1396396991\t20.810000\n1396397591\t20.810000\n1396398192\t20.810000\n1396398792\t20.810000\n1396399393\t20.810000\n1396400008\t20.810000\n1396400609\t20.810000\n1396401210\t20.750000\n1396401810\t20.750000\n1396402411\t20.750000\n1396403011\t20.810000\n1396403612\t20.810000\n1396404212\t20.750000\n1396404813\t20.750000\n1396405413\t20.750000\n1396406014\t20.750000\n1396406614\t20.690000\n1396407215\t20.690000\n1396407815\t20.690000\n1396408416\t20.620000\n1396409017\t20.690000\n1396409617\t20.690000\n1396410218\t20.620000\n1396410818\t20.620000\n1396411419\t20.620000\n1396412019\t20.620000\n1396412620\t20.620000\n1396413220\t20.620000\n1396413821\t20.620000\n1396414421\t20.620000\n1396415022\t20.620000\n1396415623\t20.560000\n1396416223\t20.560000\n1396416824\t20.560000\n1396417424\t20.560000\n1396418025\t20.560000\n1396418625\t20.560000\n1396419241\t20.560000\n1396419841\t20.560000\n1396420442\t20.560000\n1396421042\t20.560000\n1396421643\t20.560000\n1396422244\t20.560000\n1396422844\t20.560000\n1396423445\t20.560000\n1396424045\t20.560000\n1396424646\t20.560000\n1396425246\t20.560000\n1396425847\t20.560000\n1396426447\t20.620000\n1396427048\t20.560000\n1396427648\t20.620000\n1396428249\t20.620000\n1396428850\t20.620000\n1396429450\t20.560000\n1396430051\t20.560000\n1396430651\t20.440000\n1396431252\t20.380000\n1396431852\t20.380000\n1396432453\t20.500000\n1396433053\t20.500000\n1396433654\t20.440000\n1396434254\t20.440000\n1396434855\t20.500000\n1396435470\t20.560000\n1396436071\t20.560000\n1396436672\t20.560000\n1396437272\t20.620000\n1396437873\t20.560000\n1396438473\t20.500000\n1396439074\t20.560000\n1396439674\t20.560000\n1396440275\t20.620000\n1396440875\t20.620000\n1396441476\t20.690000\n1396442077\t19.810000\n1396442677\t20.060000\n1396443278\t20.310000\n1396443878\t20.440000\n1396444479\t20.440000\n1396445079\t20.560000\n1396445680\t20.500000\n1396446280\t20.620000\n1396446881\t20.620000\n1396447481\t20.620000\n1396448082\t20.620000\n1396448683\t20.620000\n1396449283\t20.620000\n1396449884\t20.620000\n1396450484\t20.620000\n1396451100\t20.560000\n1396451700\t21.120000\n1396452301\t20.380000\n1396452901\t20.380000\n1396453502\t20.440000\n1396454102\t20.440000\n1396454703\t20.440000\n1396455303\t20.440000\n1396455904\t20.440000\n1396456505\t20.440000\n1396457105\t20.440000\n1396457706\t20.440000\n1396458306\t20.500000\n1396458907\t20.560000\n1396459507\t20.620000\n1396460108\t20.620000\n1396460708\t20.690000\n1396461309\t20.690000\n1396461910\t20.690000\n1396462510\t20.690000\n1396463111\t20.690000\n1396463711\t20.690000\n1396464312\t20.690000\n1396464912\t20.690000\n1396465513\t20.690000\n1396466113\t20.690000\n1396466714\t20.690000\n1396467315\t20.690000\n1396467915\t20.690000\n1396468516\t20.690000\n1396469131\t20.690000\n1396469732\t20.690000\n1396470332\t20.690000\n1396470933\t20.690000\n1396471534\t20.690000\n1396472134\t20.690000\n1396472735\t20.690000\n1396473335\t20.620000\n1396473936\t20.690000\n1396474536\t20.690000\n1396475137\t20.620000\n1396475737\t20.690000\n1396476338\t20.620000\n1396476939\t20.620000\n1396477539\t20.620000\n1396478139\t20.690000\n1396478740\t20.620000\n1396479341\t20.620000\n1396479941\t20.620000\n1396480542\t20.620000\n1396481142\t20.620000\n1396481743\t20.620000\n1396482343\t20.560000\n1396482944\t20.620000\n1396483544\t20.620000\n1396484145\t20.620000\n1396484746\t20.620000\n1396485346\t20.620000\n1396485947\t20.620000\n1396486547\t20.620000\n1396487148\t20.560000\n1396487748\t20.620000\n1396488364\t20.560000\n1396488964\t20.620000\n1396489565\t20.560000\n1396490166\t20.620000\n1396490766\t20.620000\n1396491367\t20.620000\n1396491967\t20.560000\n1396492568\t20.560000\n1396493168\t20.560000\n1396493769\t20.560000\n1396494369\t20.560000\n1396494970\t20.620000\n1396495570\t20.560000\n1396496171\t20.560000\n1396496772\t20.560000\n1396497372\t20.560000\n1396497973\t20.560000\n1396498573\t20.560000\n1396499174\t20.560000\n1396499774\t20.560000\n1396500375\t20.620000\n1396500975\t20.560000\n1396501576\t20.560000\n1396502177\t20.560000\n1396502777\t20.500000\n1396503378\t20.560000\n1396503978\t20.560000\n1396504579\t20.560000\n1396505179\t20.560000\n1396505780\t20.560000\n1396506380\t20.560000\n1396506981\t20.560000\n1396507596\t20.560000\n1396508197\t20.620000\n1396508798\t20.560000\n1396509398\t20.560000\n1396509999\t20.560000\n1396510599\t20.560000\n1396511200\t20.560000\n1396511800\t20.560000\n1396512401\t20.500000\n1396513001\t20.560000\n1396513602\t20.560000\n1396514203\t20.560000\n1396514803\t20.500000\n1396515404\t20.500000\n1396516004\t20.560000\n1396516605\t20.560000\n1396517205\t20.560000\n1396517806\t20.560000\n1396518406\t20.560000\n1396519007\t20.620000\n1396519607\t20.620000\n1396520208\t20.560000\n1396520809\t20.560000\n1396521409\t20.620000\n1396522010\t20.620000\n1396522610\t20.620000\n1396523211\t20.620000\n1396523811\t20.620000\n1396524412\t20.620000\n1396525012\t20.620000\n1396525628\t20.690000\n1396526229\t20.620000\n1396526829\t20.690000\n1396527430\t20.620000\n1396528030\t20.750000\n1396528631\t20.810000\n1396529231\t20.620000\n1396529832\t20.750000\n1396530432\t20.810000\n1396531033\t20.620000\n1396531634\t20.690000\n1396532234\t20.750000\n1396532835\t20.750000\n1396533435\t20.750000\n1396534036\t20.750000\n1396534636\t20.750000\n1396535237\t20.750000\n1396535837\t20.810000\n1396536438\t20.810000\n1396537038\t20.810000\n1396537639\t20.810000\n1396538240\t20.810000\n1396538840\t20.810000\n1396539441\t20.880000\n1396540041\t20.810000\n1396540642\t20.880000\n1396541242\t20.810000\n1396541843\t20.810000\n1396542443\t20.810000\n1396543044\t20.810000\n1396543644\t20.880000\n1396544260\t20.880000\n1396544861\t20.810000\n1396545461\t20.810000\n1396546062\t20.880000\n1396546662\t20.810000\n1396547263\t20.750000\n1396547863\t20.810000\n1396548464\t20.880000\n1396549064\t20.810000\n1396549665\t20.810000\n1396550265\t20.880000\n1396550866\t20.880000\n1396551466\t20.810000\n1396552067\t20.810000\n1396552668\t20.750000\n1396553268\t20.810000\n1396553869\t20.810000\n1396554469\t20.810000\n1396555070\t20.750000\n1396555670\t20.810000\n1396556271\t20.750000\n1396556871\t20.750000\n1396557472\t20.750000\n1396558073\t20.750000\n1396558673\t20.750000\n1396559274\t20.690000\n1396559874\t20.690000\n1396560490\t20.690000\n1396561090\t20.690000\n1396561691\t20.690000\n1396562291\t20.620000\n1396562892\t20.620000\n1396563493\t20.620000\n1396564093\t20.620000\n1396564694\t20.620000\n1396565294\t20.620000\n1396565895\t20.620000\n1396566495\t20.560000\n1396567096\t20.560000\n1396567696\t20.560000\n1396568297\t20.560000\n1396568898\t20.560000\n1396569498\t20.500000\n1396570099\t20.560000\n1396570699\t20.560000\n1396571300\t20.500000\n1396571900\t20.560000\n1396572501\t20.500000\n1396573101\t20.440000\n1396573702\t20.500000\n1396574302\t20.440000\n1396574903\t20.440000\n1396575504\t20.440000\n1396576104\t20.440000\n1396576705\t20.440000\n1396577305\t20.440000\n1396577906\t20.380000\n1396578506\t20.380000\n1396579107\t20.380000\n1396579722\t20.380000\n1396580323\t20.310000\n1396580923\t20.310000\n1396581524\t20.310000\n1396582124\t20.250000\n1396582725\t20.250000\n1396583325\t20.250000\n1396583926\t20.310000\n1396584527\t20.250000\n1396585127\t20.250000\n1396585728\t20.250000\n1396586328\t20.250000\n1396586929\t20.250000\n1396587529\t20.190000\n1396588130\t20.190000\n1396588730\t20.190000\n1396589331\t20.190000\n1396589931\t20.190000\n1396590532\t20.120000\n1396591133\t20.120000\n1396591733\t20.120000\n1396592334\t20.120000\n1396592934\t20.060000\n1396593535\t20.120000\n1396594135\t20.120000\n1396594736\t20.120000\n1396595351\t20.120000\n1396595952\t20.120000\n1396596553\t20.190000\n1396597153\t20.120000\n1396597754\t20.120000\n1396598354\t20.190000\n1396598955\t20.190000\n1396599555\t20.190000\n1396600156\t20.190000\n1396600756\t20.190000\n1396601357\t20.190000\n1396601957\t20.120000\n1396602558\t20.190000\n1396603158\t20.190000\n1396603759\t20.250000\n1396604360\t20.250000\n1396604960\t20.250000\n1396605561\t20.190000\n1396606161\t20.250000\n1396606762\t20.310000\n1396607362\t20.310000\n1396607963\t20.310000\n1396608563\t20.310000\n1396609164\t20.310000\n1396609765\t20.310000\n1396610380\t20.310000\n1396610981\t20.310000\n1396611581\t20.310000\n1396612182\t20.310000\n1396612782\t20.310000\n1396613383\t20.380000\n1396613983\t20.380000\n1396614584\t20.380000\n1396618916\t20.380000\n1396619517\t20.310000\n1396620117\t20.380000\n1396620718\t20.310000\n1396621318\t20.380000\n1396621919\t20.380000\n1396622519\t20.440000\n1396623120\t20.440000\n1396623720\t20.380000\n1396624321\t20.440000\n1396624921\t20.440000\n1396625522\t20.440000\n1396626122\t20.440000\n1396626723\t20.500000\n1396627324\t20.500000\n1396627924\t20.500000\n1396628525\t20.560000\n1396629125\t20.500000\n1396629726\t20.500000\n1396630326\t20.500000\n1396630927\t20.500000\n1396631527\t20.500000\n1396632128\t20.500000\n1396632728\t20.500000\n1396633329\t20.500000\n1396633929\t20.500000\n1396634530\t20.500000\n1396635130\t20.500000\n1396635731\t20.500000\n1396636331\t20.500000\n1396636932\t20.500000\n1396637532\t20.500000\n1396638133\t20.500000\n1396638748\t20.500000\n1396639349\t20.500000\n1396639949\t20.500000\n1396640550\t20.500000\n1396641150\t20.500000\n1396641751\t20.500000\n1396642351\t20.500000\n1396642952\t20.440000\n1396643552\t20.500000\n1396644153\t20.380000\n1396644754\t20.310000\n1396645354\t20.310000\n1396645955\t20.380000\n1396646555\t20.440000\n1396647156\t20.380000\n1396647756\t20.440000\n1396648357\t20.380000\n1396648957\t20.380000\n1396649558\t20.380000\n1396650158\t20.250000\n1396650759\t20.310000\n1396651359\t20.380000\n1396651960\t20.380000\n1396652560\t20.380000\n1396653161\t20.310000\n1396653761\t20.310000\n1396654362\t20.310000\n1396654962\t20.380000\n1396655563\t20.380000\n1396656163\t20.310000\n1396656764\t20.310000\n1396657364\t20.380000\n1396657965\t20.380000\n1396658565\t20.310000\n1396659166\t20.380000\n1396659781\t20.310000\n1396660382\t20.310000\n1396660982\t20.310000\n1396661583\t20.310000\n1396662184\t20.310000\n1396662784\t20.310000\n1396663385\t20.310000\n1396663985\t20.310000\n1396664586\t20.310000\n1396665186\t20.310000\n1396665787\t20.250000\n1396666387\t20.310000\n1396666988\t20.250000\n1396667588\t20.310000\n1396668189\t20.250000\n1396668789\t20.250000\n1396669390\t20.250000\n1396669991\t20.250000\n1396670591\t20.250000\n1396671192\t20.250000\n1396671792\t20.190000\n1396672393\t20.190000\n1396672993\t20.190000\n1396673594\t20.190000\n1396674194\t20.190000\n1396674795\t20.190000\n1396675395\t20.190000\n1396675996\t20.190000\n1396676596\t20.190000\n1396677197\t20.190000\n1396677797\t20.190000\n1396678398\t20.120000\n1396678998\t20.120000\n1396679599\t20.120000\n1396680200\t20.190000\n1396680815\t20.120000\n1396681416\t20.120000\n1396682016\t20.190000\n1396682617\t20.190000\n1396683217\t20.120000\n1396683818\t20.190000\n1396684418\t20.190000\n1396685019\t20.190000\n1396685619\t20.190000\n1396686220\t20.190000\n1396686820\t20.190000\n1396687421\t20.190000\n1396688021\t20.190000\n1396688622\t20.250000\n1396689222\t20.190000\n1396689823\t20.190000\n1396690424\t20.250000\n1396691024\t20.250000\n1396691625\t20.250000\n1396692225\t20.250000\n1396692826\t20.250000\n1396693426\t20.250000\n1396694027\t20.250000\n1396694627\t20.190000\n1396695228\t20.120000\n1396695828\t20.060000\n1396696429\t20.060000\n1396697029\t20.060000\n1396697645\t20.120000\n1396698245\t20.190000\n1396698846\t20.250000\n1396699447\t20.250000\n1396700047\t20.190000\n1396700648\t20.190000\n1396701248\t20.120000\n1396701849\t20.000000\n1396702449\t20.000000\n1396703050\t20.000000\n1396703650\t20.000000\n1396704251\t20.000000\n1396704851\t20.000000\n1396705452\t20.000000\n1396706052\t20.000000\n1396706653\t20.000000\n1396707254\t19.940000\n1396707854\t20.060000\n1396708455\t20.060000\n1396709055\t20.120000\n1396709656\t20.060000\n1396710256\t20.000000\n1396710857\t20.000000\n1396711457\t20.000000\n1396712058\t20.120000\n1396712658\t20.190000\n1396713259\t20.120000\n1396713859\t20.250000\n1396714460\t20.250000\n1396715060\t20.250000\n1396715661\t20.310000\n1396716276\t20.310000\n1396716877\t20.310000\n1396717478\t20.310000\n1396718078\t20.380000\n1396718679\t20.380000\n1396719279\t20.440000\n1396719880\t20.440000\n1396720480\t20.500000\n1396721081\t20.500000\n1396721681\t20.500000\n1396722282\t20.500000\n1396722882\t20.440000\n1396723483\t20.380000\n1396724083\t20.380000\n1396724684\t20.380000\n1396725285\t20.440000\n1396725885\t20.500000\n1396726486\t20.500000\n1396727086\t20.560000\n1396727687\t20.500000\n1396728287\t20.560000\n1396728888\t20.560000\n1396729488\t20.620000\n1396730089\t20.620000\n1396730689\t20.620000\n1396731290\t20.620000\n1396731890\t20.690000\n1396732491\t20.690000\n1396733091\t20.690000\n1396733707\t20.690000\n1396734307\t20.690000\n1396734908\t20.690000\n1396735509\t20.690000\n1396736109\t20.690000\n1396736710\t20.620000\n1396737310\t20.620000\n1396737911\t20.620000\n1396738511\t20.560000\n1396739112\t20.560000\n1396739712\t20.620000\n1396740313\t20.560000\n1396740913\t20.560000\n1396741514\t20.620000\n1396742114\t20.620000\n1396742715\t20.620000\n1396743315\t20.620000\n1396743916\t20.620000\n1396744516\t20.690000\n1396745117\t20.690000\n1396745718\t20.750000\n1396746318\t20.750000\n1396746919\t20.750000\n1396747519\t20.750000\n1396748120\t20.810000\n1396748720\t20.810000\n1396749336\t20.810000\n1396749936\t20.810000\n1396750537\t20.880000\n1396751138\t20.750000\n1396751738\t20.750000\n1396752339\t20.810000\n1396752939\t20.810000\n1396753540\t20.750000\n1396754140\t20.750000\n1396754741\t20.810000\n1396755341\t20.810000\n1396755942\t20.810000\n1396756542\t20.810000\n1396757143\t20.810000\n1396757743\t20.880000\n1396758344\t20.880000\n1396758944\t20.880000\n1396759545\t20.940000\n1396760145\t20.940000\n1396760746\t20.940000\n1396761347\t21.000000\n1396761947\t21.000000\n1396762548\t21.000000\n1396763148\t21.000000\n1396763749\t21.000000\n1396764349\t21.060000\n1396764965\t21.000000\n1396765565\t21.000000\n1396766166\t21.060000\n1396766766\t21.060000\n1396767367\t21.060000\n1396767967\t21.060000\n1396768568\t21.000000\n1396769168\t21.000000\n1396769769\t21.000000\n1396770369\t20.940000\n1396770970\t20.940000\n1396771571\t20.940000\n1396772171\t20.940000\n1396772772\t20.940000\n1396773372\t20.940000\n1396773973\t20.880000\n1396774573\t20.880000\n1396775174\t20.810000\n1396775774\t20.880000\n1396776375\t20.880000\n1396776975\t20.810000\n1396777576\t20.810000\n1396778176\t20.810000\n1396778777\t20.940000\n1396779377\t20.940000\n1396779978\t20.940000\n1396780578\t21.000000\n1396781179\t20.940000\n1396781795\t20.940000\n1396782395\t21.000000\n1396782996\t21.060000\n1396783596\t21.060000\n1396784197\t21.060000\n1396784797\t21.060000\n1396785398\t21.060000\n1396785998\t21.060000\n1396786599\t21.190000\n1396787199\t21.250000\n1396787800\t21.310000\n1396788400\t21.250000\n1396789001\t21.250000\n1396789601\t21.250000\n1396790202\t21.250000\n1396790802\t21.250000\n1396791403\t21.310000\n1396792004\t21.250000\n1396792604\t21.190000\n1396793205\t21.190000\n1396793805\t21.250000\n1396794406\t20.880000\n1396794838\t20.880000\n1396796632\t21.060000\n1396797233\t21.060000\n1396797833\t21.250000\n1396798434\t21.250000\n1396799034\t21.250000\n1396799635\t21.250000\n1396800235\t21.250000\n1396800836\t21.310000\n1396801436\t21.310000\n1396802037\t21.250000\n1396802637\t21.250000\n1396803238\t21.310000\n1396803838\t21.310000\n1396804439\t21.310000\n1396805040\t21.310000\n1396805640\t21.310000\n1396806241\t21.250000\n1396806841\t21.310000\n1396807442\t21.310000\n1396808042\t21.380000\n1396808643\t21.380000\n1396809243\t21.380000\n1396809844\t21.380000\n1396810444\t21.440000\n1396811045\t21.440000\n1396811645\t21.440000\n1396812246\t21.440000\n1396812846\t21.440000\n1396813447\t21.440000\n1396814047\t21.500000\n1396814663\t21.500000\n1396815263\t21.500000\n1396815864\t21.500000\n1396816465\t21.560000\n1396817065\t21.560000\n1396817666\t21.560000\n1396818266\t21.620000\n1396818867\t21.560000\n1396819467\t21.620000\n1396820068\t21.620000\n1396820668\t21.620000\n1396821269\t21.620000\n1396821869\t21.690000\n1396822470\t21.690000\n1396823070\t21.690000\n1396823671\t21.690000\n1396824271\t21.690000\n1396824872\t21.690000\n1396825472\t21.690000\n1396826073\t21.690000\n1396826674\t21.690000\n1396827274\t21.690000\n1396827875\t21.690000\n1396828475\t21.750000\n1396829076\t21.750000\n1396829676\t21.750000\n1396830277\t21.750000\n1396830877\t21.750000\n1396831478\t21.810000\n1396832078\t21.750000\n1396832679\t21.810000\n1396833279\t21.810000\n1396833880\t21.810000\n1396834480\t21.810000\n1396835081\t21.810000\n1396835681\t21.810000\n1396836297\t21.810000\n1396836897\t21.810000\n1396837498\t21.810000\n1396838098\t21.880000\n1396838699\t21.880000\n1396839299\t21.880000\n1396839900\t21.880000\n1396840500\t21.880000\n1396841101\t21.880000\n1396841701\t21.880000\n1396842302\t21.940000\n1396842902\t21.880000\n1396843503\t21.880000\n1396844103\t21.810000\n1396844704\t21.810000\n1396845304\t21.810000\n1396845905\t21.880000\n1396846505\t21.880000\n1396847106\t21.880000\n1396847706\t21.880000\n1396848307\t21.810000\n1396848907\t21.750000\n1396849508\t21.690000\n1396850108\t21.690000\n1396850709\t21.750000\n1396851310\t21.750000\n1396851910\t21.690000\n1396852511\t21.690000\n1396853111\t21.690000\n1396853712\t21.690000\n1396854312\t21.750000\n1396854913\t21.750000\n1396855528\t21.810000\n1396856129\t21.750000\n1396856729\t21.810000\n1396857330\t21.750000\n1396857930\t21.690000\n1396858531\t21.690000\n1396859131\t21.690000\n1396859732\t21.690000\n1396860332\t21.690000\n1396860933\t21.690000\n1396861533\t21.690000\n1396862134\t21.690000\n1396862734\t21.690000\n1396863335\t21.750000\n1396863936\t21.750000\n1396864536\t21.810000\n1396865137\t21.880000\n1396865737\t21.880000\n1396866338\t21.810000\n1396866938\t21.880000\n1396867539\t21.810000\n1396868139\t21.810000\n1396868740\t21.810000\n1396869340\t21.880000\n1396869941\t21.880000\n1396870541\t21.880000\n1396871142\t21.880000\n1396871742\t21.880000\n1396872343\t21.940000\n1396872943\t21.940000\n1396873559\t21.940000\n1396874159\t22.000000\n1396874760\t22.060000\n1396875361\t22.060000\n1396875961\t22.120000\n1396876562\t22.120000\n1396877162\t22.190000\n1396877763\t22.190000\n1396878363\t22.190000\n1396878964\t22.190000\n1396879564\t22.190000\n1396880165\t22.190000\n1396880765\t22.190000\n1396881366\t22.250000\n1396881966\t22.250000\n1396882567\t22.250000\n1396883167\t22.310000\n1396883768\t22.310000\n1396884368\t22.310000\n1396884969\t22.250000\n1396885569\t22.310000\n1396886170\t22.380000\n1396886771\t22.380000\n1396887371\t22.440000\n1396887972\t22.440000\n1396888572\t22.440000\n1396889173\t22.440000\n1396889773\t22.440000\n1396890374\t22.500000\n1396890974\t22.500000\n1396891590\t22.500000\n1396892190\t22.500000\n1396892791\t22.560000\n1396893391\t22.560000\n1396893992\t22.190000\n1396894592\t20.060000\n1396895193\t20.500000\n1396895793\t20.500000\n1396896394\t19.190000\n1396896994\t19.060000\n1396897595\t20.190000\n1396898195\t20.810000\n1396898796\t21.190000\n1396899396\t21.310000\n1396899997\t21.500000\n1396900598\t21.560000\n1396901198\t21.690000\n1396901799\t21.750000\n1396902399\t21.810000\n1396903000\t21.880000\n1396903600\t21.880000\n1396904201\t21.880000\n1396904801\t21.940000\n1396905402\t21.940000\n1396906002\t21.940000\n1396906603\t22.000000\n1396907203\t22.060000\n1396907804\t22.060000\n1396908419\t22.060000\n1396909020\t22.060000\n1396909620\t22.060000\n1396910221\t22.120000\n1396910821\t22.060000\n1396911422\t22.060000\n1396912022\t22.060000\n1396912623\t22.060000\n1396913224\t22.120000\n1396913824\t22.120000\n1396914425\t22.060000\n1396915025\t22.060000\n1396915626\t22.060000\n1396916226\t22.120000\n1396916827\t22.060000\n1396917427\t22.060000\n1396918028\t22.120000\n1396918628\t22.060000\n1396919229\t22.060000\n1396919829\t22.120000\n1396920430\t22.060000\n1396921030\t22.060000\n1396921631\t22.060000\n1396922231\t22.000000\n1396922832\t22.000000\n1396923432\t22.000000\n1396924033\t22.000000\n1396924634\t22.000000\n1396925249\t22.000000\n1396925850\t22.000000\n1396926450\t22.000000\n1396927051\t22.000000\n1396927651\t22.000000\n1396928252\t22.000000\n1396928852\t22.000000\n1396929453\t21.940000\n1396930053\t21.880000\n1396930654\t21.940000\n1396931254\t21.940000\n1396931855\t21.940000\n1396932455\t21.940000\n1396933056\t22.000000\n1396933656\t22.000000\n1396934257\t22.000000\n1396934857\t22.000000\n1396935458\t22.000000\n1396936058\t22.000000\n1396936659\t22.000000\n1396937259\t22.000000\n1396937860\t22.000000\n1396938460\t22.000000\n1396939061\t21.940000\n1396939662\t21.940000\n1396940262\t21.880000\n1396940863\t21.880000\n1396941463\t21.940000\n1396942064\t21.940000\n1396942664\t21.940000\n1396943280\t21.880000\n1396943880\t21.880000\n1396944481\t21.880000\n1396945081\t21.880000\n1396945682\t21.810000\n1396946282\t21.880000\n1396946883\t21.810000\n1396947483\t21.810000\n1396948084\t21.810000\n1396948684\t21.810000\n1396949285\t21.810000\n1396949885\t21.810000\n1396950486\t21.750000\n1396951087\t21.750000\n1396951687\t21.750000\n1396952288\t21.750000\n1396952888\t21.690000\n1396953489\t21.690000\n1396954089\t21.690000\n1396954690\t21.690000\n1396955290\t21.690000\n1396955891\t21.690000\n1396956491\t21.690000\n1396957092\t21.380000\n1396957692\t21.560000\n1396958293\t21.690000\n1396958894\t21.750000\n1396959494\t21.810000\n1396960110\t21.750000\n1396960710\t21.880000\n1396961311\t21.880000\n1396961911\t21.880000\n1396962512\t21.940000\n1396963112\t21.880000\n1396963713\t21.880000\n1396964313\t21.880000\n1396964914\t21.880000\n1396965514\t21.880000\n1396966115\t21.880000\n1396966715\t21.880000\n1396967316\t21.880000\n1396967916\t21.880000\n1396968517\t21.880000\n1396969117\t21.880000\n1396969718\t21.750000\n1396970318\t21.810000\n1396970919\t21.810000\n1396971519\t21.750000\n1396972120\t21.750000\n1396972720\t21.750000\n1396973321\t21.810000\n1396973921\t21.810000\n1396974522\t21.810000\n1396975123\t21.750000\n1396975723\t21.750000\n1396976324\t21.750000\n1396976924\t21.750000\n1396977540\t21.750000\n1396978140\t21.690000\n1396978741\t21.690000\n1396979341\t21.690000\n1396979942\t21.690000\n1396980542\t21.690000\n1396981143\t21.620000\n1396981743\t21.620000\n1396982344\t21.620000\n1396982944\t21.620000\n1396983545\t21.560000\n1396984145\t21.560000\n1396984746\t21.560000\n1396985346\t21.560000\n1396985947\t21.620000\n1396986547\t21.560000\n1396987148\t21.560000\n1396987748\t21.560000\n1396988349\t21.560000\n1396988949\t21.560000\n1396989550\t21.560000\n1396990150\t21.500000\n1396990751\t21.440000\n1396991352\t21.380000\n1396991952\t21.380000\n1396992553\t21.380000\n1396993153\t21.310000\n1396993769\t21.250000\n1396994369\t21.310000\n1396994970\t21.310000\n1396995570\t21.310000\n1396996171\t21.310000\n1396996771\t21.310000\n1396997372\t21.310000\n1396997972\t21.310000\n1396998573\t21.250000\n1396999173\t21.120000\n1396999774\t21.060000\n1397000374\t20.940000\n1397000975\t20.810000\n1397001576\t20.690000\n1397002176\t20.620000\n1397002777\t20.560000\n1397003377\t20.500000\n1397003978\t20.440000\n1397004578\t20.440000\n1397005179\t20.440000\n1397005779\t20.440000\n1397006380\t20.500000\n1397006980\t20.500000\n1397007581\t20.500000\n1397008181\t20.560000\n1397008782\t20.560000\n1397009382\t20.560000\n1397009983\t20.560000\n1397010583\t20.560000\n1397011184\t20.560000\n1397011799\t20.500000\n1397012400\t20.440000\n1397013001\t20.380000\n1397013601\t20.380000\n1397014202\t20.310000\n1397014802\t20.380000\n1397015403\t20.310000\n1397016003\t20.310000\n1397016604\t20.250000\n1397017204\t20.250000\n1397017805\t20.250000\n1397018405\t20.250000\n1397019006\t20.250000\n1397019606\t20.250000\n1397020207\t20.190000\n1397020807\t20.120000\n1397021408\t20.190000\n1397022008\t20.120000\n1397022609\t20.120000\n1397023209\t20.120000\n1397023810\t20.190000\n1397024410\t20.120000\n1397025011\t20.120000\n1397025611\t20.060000\n1397026212\t20.060000\n1397026812\t20.060000\n1397027413\t20.060000\n1397028013\t20.120000\n1397028614\t20.190000\n1397029214\t20.250000\n1397029830\t20.250000\n1397030430\t20.250000\n1397031031\t20.250000\n1397031631\t20.190000\n1397032232\t20.190000\n1397032832\t20.190000\n1397033433\t20.120000\n1397034033\t20.120000\n1397034634\t20.060000\n1397035234\t20.000000\n1397035835\t20.060000\n1397036436\t20.000000\n1397037036\t20.000000\n1397037637\t20.000000\n1397038237\t19.940000\n1397038838\t19.880000\n1397039438\t19.880000\n1397040039\t19.880000\n1397040639\t19.880000\n1397041240\t19.880000\n1397041840\t19.880000\n1397042441\t19.880000\n1397043041\t19.880000\n1397043642\t19.880000\n1397044242\t19.880000\n1397044843\t19.810000\n1397045443\t19.750000\n1397046044\t19.750000\n1397046644\t19.750000\n1397047245\t19.750000\n1397047860\t19.750000\n1397048461\t19.690000\n1397049062\t19.750000\n1397049662\t19.690000\n1397050263\t19.690000\n1397050863\t19.750000\n1397051464\t19.810000\n1397052064\t19.810000\n1397052665\t19.880000\n1397053265\t19.880000\n1397053866\t19.810000\n1397054466\t19.810000\n1397055067\t19.810000\n1397055667\t19.810000\n1397056268\t19.810000\n1397056868\t19.750000\n1397057469\t19.750000\n1397058069\t19.750000\n1397058670\t19.560000\n1397059270\t19.500000\n1397059871\t19.380000\n1397060472\t19.380000\n1397061072\t19.380000\n1397061673\t19.380000\n1397062273\t19.440000\n1397062874\t19.500000\n1397063474\t19.620000\n1397064090\t19.620000\n1397064690\t19.690000\n1397065291\t19.810000\n1397065891\t19.810000\n1397066492\t19.810000\n1397067092\t19.810000\n1397067693\t19.750000\n1397068293\t19.690000\n1397068894\t19.750000\n1397069494\t19.750000\n1397070095\t19.750000\n1397070695\t19.750000\n1397071296\t19.750000\n1397071896\t19.810000\n1397072497\t19.880000\n1397073097\t19.940000\n1397073698\t19.940000\n1397074298\t19.880000\n1397074899\t19.880000\n1397075500\t19.940000\n1397076100\t20.000000\n1397076701\t19.940000\n1397077301\t19.880000\n1397077902\t19.880000\n1397078502\t19.810000\n1397079103\t19.880000\n1397079703\t19.880000\n1397080319\t19.940000\n1397080919\t19.940000\n1397081520\t19.940000\n1397082120\t20.000000\n1397082721\t20.000000\n1397083321\t20.000000\n1397083922\t19.940000\n1397084522\t19.940000\n1397085123\t20.000000\n1397085723\t20.000000\n1397086324\t20.000000\n1397086925\t20.060000\n1397087525\t20.060000\n1397088125\t20.060000\n1397088726\t20.060000\n1397089327\t20.120000\n1397089927\t20.120000\n1397090528\t20.190000\n1397091128\t20.190000\n1397091729\t20.120000\n1397092329\t20.190000\n1397092930\t20.190000\n1397093530\t20.190000\n1397094131\t20.190000\n1397094731\t20.190000\n1397095332\t20.190000\n1397095932\t20.190000\n1397096533\t20.190000\n1397097133\t20.190000\n1397097734\t20.190000\n1397098334\t20.190000\n1397098950\t20.190000\n1397099550\t20.190000\n1397100151\t20.190000\n1397100752\t20.190000\n1397101352\t20.190000\n1397101953\t20.190000\n1397102553\t20.190000\n1397103154\t20.250000\n1397103754\t20.250000\n1397104355\t20.250000\n1397104955\t20.190000\n1397105556\t20.250000\n1397106156\t20.250000\n1397106757\t20.190000\n1397107357\t20.250000\n1397107958\t20.250000\n1397108558\t20.250000\n1397109159\t20.250000\n1397109759\t20.250000\n1397110360\t20.250000\n1397110961\t20.250000\n1397111561\t20.250000\n1397112162\t20.250000\n1397112762\t20.250000\n1397113363\t20.250000\n1397113963\t20.310000\n1397114564\t20.310000\n1397115164\t20.310000\n1397115765\t20.310000\n1397116380\t20.310000\n1397116981\t20.310000\n1397117581\t20.380000\n1397118182\t20.310000\n1397118782\t20.380000\n1397119383\t20.380000\n1397119983\t20.380000\n1397120584\t20.440000\n1397121184\t20.440000\n1397121785\t20.500000\n1397122385\t20.440000\n1397122986\t20.380000\n1397123586\t20.440000\n1397124187\t20.380000\n1397124787\t20.380000\n1397125388\t20.380000\n1397125988\t20.380000\n1397126589\t20.380000\n1397127190\t20.380000\n1397127790\t20.380000\n1397128391\t20.440000\n1397128991\t20.440000\n1397129592\t20.440000\n1397130192\t20.500000\n1397130793\t20.560000\n1397131393\t20.560000\n1397131994\t20.560000\n1397132609\t20.310000\n1397133210\t20.190000\n1397133810\t20.190000\n1397134411\t20.190000\n1397135011\t20.120000\n1397135612\t20.120000\n1397136212\t20.120000\n1397136813\t20.190000\n1397137413\t20.250000\n1397138014\t20.250000\n1397138614\t20.250000\n1397139215\t20.190000\n1397139815\t20.250000\n1397140416\t20.310000\n1397141016\t20.310000\n1397141617\t20.250000\n1397142218\t20.310000\n1397142818\t20.250000\n1397143418\t20.250000\n1397144019\t20.250000\n1397144619\t20.250000\n1397145220\t20.250000\n1397145821\t20.250000\n1397146421\t20.250000\n1397147022\t20.310000\n1397147622\t20.310000\n1397148223\t20.310000\n1397148823\t20.310000\n1397149424\t20.310000\n1397150024\t20.310000\n1397150640\t20.310000\n1397151240\t20.310000\n1397151841\t20.380000\n1397152441\t20.380000\n1397153042\t20.310000\n1397153642\t20.250000\n1397154243\t20.250000\n1397154843\t20.310000\n1397155444\t20.310000\n1397156045\t20.380000\n1397156645\t20.380000\n1397157246\t20.380000\n1397157846\t20.380000\n1397158446\t20.380000\n1397159047\t20.380000\n1397159648\t20.440000\n1397160248\t20.500000\n1397160849\t20.500000\n1397161449\t20.440000\n1397162050\t20.380000\n1397162650\t20.380000\n1397163251\t20.380000\n1397163851\t20.440000\n1397164452\t20.500000\n1397165052\t20.500000\n1397165668\t20.500000\n1397166268\t20.440000\n1397166869\t20.440000\n1397167469\t20.440000\n1397168070\t20.500000\n1397168670\t20.500000\n1397169271\t20.560000\n1397169871\t20.560000\n1397170472\t20.560000\n1397171072\t20.500000\n1397171673\t20.380000\n1397172274\t20.380000\n1397172874\t20.380000\n1397173475\t20.380000\n1397174075\t20.380000\n1397174676\t20.380000\n1397175276\t20.440000\n1397175877\t20.440000\n1397176477\t20.440000\n1397177078\t20.440000\n1397177678\t20.440000\n1397178279\t20.440000\n1397178879\t20.560000\n1397179495\t20.560000\n1397180095\t20.560000\n1397180696\t20.560000\n1397181296\t20.560000\n1397181897\t20.620000\n1397182497\t20.620000\n1397183098\t20.690000\n1397183698\t20.750000\n1397184299\t20.750000\n1397184899\t20.750000\n1397185500\t20.750000\n1397186100\t20.810000\n1397186701\t20.810000\n1397187301\t20.810000\n1397187902\t20.880000\n1397188503\t20.880000\n1397189103\t20.880000\n1397189704\t20.880000\n1397190304\t20.940000\n1397190905\t20.940000\n1397191505\t20.880000\n1397192106\t20.810000\n1397192706\t20.810000\n1397193307\t20.750000\n1397193907\t20.690000\n1397194508\t20.620000\n1397195108\t20.620000\n1397195709\t20.620000\n1397196309\t20.560000\n1397196910\t20.560000\n1397197525\t20.560000\n1397198126\t20.560000\n1397198726\t20.560000\n1397199327\t20.500000\n1397199927\t20.560000\n1397200528\t20.500000\n1397201128\t20.440000\n1397201729\t20.500000\n1397202330\t20.440000\n1397202930\t20.440000\n1397203531\t20.440000\n1397204131\t20.440000\n1397204732\t20.440000\n1397205332\t20.440000\n1397205933\t20.440000\n1397206533\t20.560000\n1397207134\t20.500000\n1397207734\t20.500000\n1397208335\t20.500000\n1397208935\t20.500000\n1397209536\t20.500000\n1397210136\t20.500000\n1397210737\t20.500000\n1397211338\t20.500000\n1397211938\t20.560000\n1397212539\t20.620000\n1397213139\t20.560000\n1397213740\t20.500000\n1397214340\t20.500000\n1397214941\t20.440000\n1397215541\t20.500000\n1397216142\t20.620000\n1397216742\t20.620000\n1397217343\t20.500000\n1397217943\t20.620000\n1397218559\t20.690000\n1397219159\t20.750000\n1397219760\t20.750000\n1397220360\t20.810000\n1397220961\t20.880000\n1397221561\t20.880000\n1397222162\t20.940000\n1397222763\t21.000000\n1397223363\t20.940000\n1397223963\t21.000000\n1397224564\t20.940000\n1397225164\t21.060000\n1397225765\t21.060000\n1397226366\t21.060000\n1397226966\t21.060000\n1397227567\t21.060000\n1397228167\t21.000000\n1397228768\t21.060000\n1397229368\t21.000000\n1397229969\t21.000000\n1397230569\t21.000000\n1397231170\t20.940000\n1397231770\t21.000000\n1397232371\t21.060000\n1397232971\t21.000000\n1397233572\t21.000000\n1397234172\t21.000000\n1397234773\t21.000000\n1397235373\t21.000000\n1397235974\t21.060000\n1397236590\t21.060000\n1397237190\t21.120000\n1397237791\t21.120000\n1397238391\t21.190000\n1397238992\t21.190000\n1397239592\t21.250000\n1397240193\t21.250000\n1397240793\t21.250000\n1397241394\t21.310000\n1397241994\t21.310000\n1397242595\t21.310000\n1397243195\t21.310000\n1397243796\t21.310000\n1397244396\t21.380000\n1397244997\t21.380000\n1397245597\t21.380000\n1397246198\t21.380000\n1397246798\t21.380000\n1397247399\t21.380000\n1397247999\t21.380000\n1397248600\t21.380000\n1397249201\t21.440000\n1397249801\t21.380000\n1397250402\t21.380000\n1397251002\t21.380000\n1397251603\t21.380000\n1397252203\t21.440000\n1397252804\t21.440000\n1397253404\t21.440000\n1397254020\t21.440000\n1397254620\t21.440000\n1397255221\t21.440000\n1397255821\t21.500000\n1397256422\t21.440000\n1397257022\t21.440000\n1397257623\t21.440000\n1397258224\t21.500000\n1397258824\t21.440000\n1397259424\t21.440000\n1397260025\t21.440000\n1397260626\t21.440000\n1397261226\t21.440000\n1397261827\t21.500000\n1397262427\t21.440000\n1397263028\t21.500000\n1397263628\t21.500000\n1397264229\t21.500000\n1397264829\t21.500000\n1397265430\t21.500000\n1397266030\t21.500000\n1397266631\t21.500000\n1397267231\t21.440000\n1397267832\t21.500000\n1397268432\t21.500000\n1397269033\t21.500000\n1397269633\t21.500000\n1397270234\t21.500000\n1397270834\t21.500000\n1397271435\t21.440000\n1397272050\t21.440000\n1397272651\t21.500000\n1397273252\t21.500000\n1397273852\t21.500000\n1397274453\t21.500000\n1397275053\t21.440000\n1397275654\t21.500000\n1397276254\t21.500000\n1397276855\t21.500000\n1397277455\t21.500000\n1397278056\t21.500000\n1397278656\t21.500000\n1397279257\t21.500000\n1397279857\t21.500000\n1397280458\t21.440000\n1397281059\t21.440000\n1397281659\t21.380000\n1397282260\t21.310000\n1397282860\t21.310000\n1397283461\t21.250000\n1397284061\t21.190000\n1397284662\t21.120000\n1397285262\t21.060000\n1397285863\t20.940000\n1397286463\t20.880000\n1397287064\t20.940000\n1397287664\t20.940000\n1397288265\t20.940000\n1397288880\t20.810000\n1397289481\t20.750000\n1397290081\t20.750000\n1397290682\t20.690000\n1397291282\t20.620000\n1397291883\t20.620000\n1397292483\t20.560000\n1397293084\t20.620000\n1397293685\t20.690000\n1397294285\t20.620000\n1397294886\t20.690000\n1397295486\t20.750000\n1397296087\t20.690000\n1397296687\t20.560000\n1397297288\t20.500000\n1397297888\t20.560000\n1397298489\t20.690000\n1397299089\t20.620000\n1397299690\t20.500000\n1397300290\t20.620000\n1397300891\t20.690000\n1397301491\t20.620000\n1397302092\t20.440000\n1397302692\t20.440000\n1397303293\t20.440000\n1397303893\t20.380000\n1397304494\t20.380000\n1397305094\t20.380000\n1397305695\t20.250000\n1397306310\t20.310000\n1397306911\t20.310000\n1397307511\t20.250000\n1397308112\t20.190000\n1397308712\t20.190000\n1397309313\t20.250000\n1397309913\t20.310000\n1397310514\t20.310000\n1397311114\t20.380000\n1397311715\t20.310000\n1397312315\t20.310000\n1397312916\t20.310000\n1397313516\t20.380000\n1397314117\t20.440000\n1397314717\t20.440000\n1397315318\t20.250000\n1397315918\t20.250000\n1397316519\t20.310000\n1397317119\t20.380000\n1397317720\t20.190000\n1397318321\t20.310000\n1397318921\t20.310000\n1397319522\t20.310000\n1397320122\t20.380000\n1397320723\t20.440000\n1397321323\t20.250000\n1397321924\t20.250000\n1397322524\t20.250000\n1397323125\t20.380000\n1397323740\t20.310000\n1397324341\t20.250000\n1397324941\t20.250000\n1397325542\t20.250000\n1397326142\t20.310000\n1397326743\t20.310000\n1397327343\t20.380000\n1397327944\t20.310000\n1397328544\t20.250000\n1397329145\t20.190000\n1397329746\t20.190000\n1397330346\t20.190000\n1397330947\t20.190000\n1397331547\t20.120000\n1397332148\t20.120000\n1397332748\t20.120000\n1397333349\t20.120000\n1397333949\t20.120000\n1397334550\t20.060000\n1397335150\t19.940000\n1397335751\t20.000000\n1397336351\t20.000000\n1397336952\t19.940000\n1397337552\t20.000000\n1397338153\t20.000000\n1397338768\t20.060000\n1397339369\t20.060000\n1397339969\t20.000000\n1397340570\t20.000000\n1397341170\t19.940000\n1397341771\t19.940000\n1397342371\t20.000000\n1397342972\t20.000000\n1397343572\t20.000000\n1397344173\t20.000000\n1397344773\t20.000000\n1397345374\t20.060000\n1397345974\t20.000000\n1397346575\t20.000000\n1397347175\t20.000000\n1397347776\t20.000000\n1397348376\t20.000000\n1397348977\t20.060000\n1397349578\t20.060000\n1397350178\t20.060000\n1397350779\t20.060000\n1397351379\t20.000000\n1397351980\t20.060000\n1397352580\t20.120000\n1397353181\t20.060000\n1397353796\t20.120000\n1397354397\t20.060000\n1397354997\t20.060000\n1397355598\t20.120000\n1397356198\t20.120000\n1397356799\t20.120000\n1397357399\t20.120000\n1397358000\t20.120000\n1397358601\t20.190000\n1397359201\t20.190000\n1397359802\t20.190000\n1397360402\t20.190000\n1397361003\t20.190000\n1397361603\t20.120000\n1397362204\t20.120000\n1397362804\t20.190000\n1397363405\t20.190000\n1397364005\t20.120000\n1397364606\t20.120000\n1397365206\t20.120000\n1397365807\t20.120000\n1397366407\t20.120000\n1397367008\t20.120000\n1397367608\t20.060000\n1397368209\t20.000000\n1397368809\t20.000000\n1397369410\t20.000000\n1397370010\t19.940000\n1397370611\t19.940000\n1397371211\t19.940000\n1397371827\t20.000000\n1397372427\t20.000000\n1397373028\t20.000000\n1397373628\t20.060000\n1397374229\t20.000000\n1397374829\t20.060000\n1397375430\t20.000000\n1397376031\t19.940000\n1397376631\t19.940000\n1397377232\t19.940000\n1397377832\t19.940000\n1397378433\t19.940000\n1397379033\t20.000000\n1397379634\t20.060000\n1397380234\t19.940000\n1397380835\t19.940000\n1397381435\t19.560000\n1397382036\t19.690000\n1397382636\t19.750000\n1397383237\t19.620000\n1397383837\t19.750000\n1397384438\t19.810000\n1397385038\t19.750000\n1397385639\t19.690000\n1397386240\t19.750000\n1397386840\t19.810000\n1397387441\t19.750000\n1397388041\t19.750000\n1397388657\t19.810000\n1397389257\t19.940000\n1397389858\t20.000000\n1397390458\t20.000000\n1397391059\t20.000000\n1397391659\t20.000000\n1397392260\t20.060000\n1397392860\t20.060000\n1397393461\t20.060000\n1397394061\t20.000000\n1397394662\t19.940000\n1397395262\t20.000000\n1397395863\t19.810000\n1397396464\t19.940000\n1397397064\t20.000000\n1397397665\t19.810000\n1397398265\t19.880000\n1397398866\t19.940000\n1397399466\t19.940000\n1397400067\t19.940000\n1397400667\t20.000000\n1397401268\t20.000000\n1397401868\t19.940000\n1397402469\t19.940000\n1397403069\t19.940000\n1397403670\t20.000000\n1397404270\t20.000000\n1397404871\t19.940000\n1397405472\t20.000000\n1397406072\t19.940000\n1397406688\t20.000000\n1397407288\t20.000000\n1397407889\t20.060000\n1397408489\t20.060000\n1397409090\t20.060000\n1397409690\t20.060000\n1397410291\t20.060000\n1397410891\t20.060000\n1397411492\t20.000000\n1397412092\t20.060000\n1397412693\t20.120000\n1397413293\t20.120000\n1397413894\t20.120000\n1397414495\t20.190000\n1397415095\t20.250000\n1397415696\t20.310000\n1397416296\t20.380000\n1397416897\t20.380000\n1397417497\t20.440000\n1397418098\t20.440000\n1397418698\t20.440000\n1397419299\t20.440000\n1397419899\t20.440000\n1397420500\t20.500000\n1397421100\t20.500000\n1397421701\t20.560000\n1397422301\t20.560000\n1397422917\t20.560000\n1397423517\t20.560000\n1397424118\t20.620000\n1397424718\t20.690000\n1397425319\t20.750000\n1397425919\t20.750000\n1397426520\t20.810000\n1397427121\t20.750000\n1397427721\t20.810000\n1397428322\t20.810000\n1397428922\t20.880000\n1397429523\t20.880000\n1397430123\t20.880000\n1397430724\t20.880000\n1397431324\t20.880000\n1397431925\t20.880000\n1397432525\t20.880000\n1397433126\t20.940000\n1397433726\t20.940000\n1397434327\t20.940000\n1397434927\t20.940000\n1397435528\t20.940000\n1397436129\t20.940000\n1397436729\t20.940000\n1397437330\t20.940000\n1397437930\t20.940000\n1397438531\t20.940000\n1397439131\t20.940000\n1397439732\t21.000000\n1397440332\t21.000000\n1397440933\t20.940000\n1397441548\t20.880000\n1397442149\t21.000000\n1397442749\t21.000000\n1397443350\t21.060000\n1397443950\t21.000000\n1397444551\t21.060000\n1397445152\t21.060000\n1397445752\t21.000000\n1397446353\t21.060000\n1397446953\t21.060000\n1397447554\t21.120000\n1397448154\t21.120000\n1397448755\t21.120000\n1397449355\t21.190000\n1397449956\t21.120000\n1397450556\t21.120000\n1397451157\t21.190000\n1397451757\t21.120000\n1397452358\t21.120000\n1397452958\t21.120000\n1397453559\t21.190000\n1397454159\t21.120000\n1397454760\t21.190000\n1397455360\t21.190000\n1397455961\t21.190000\n1397456561\t21.250000\n1397457162\t21.190000\n1397457778\t21.120000\n1397458378\t21.120000\n1397458979\t21.120000\n1397459579\t21.120000\n1397460180\t21.120000\n1397460780\t21.120000\n1397461381\t21.060000\n1397461981\t21.060000\n1397462582\t21.060000\n1397463182\t21.120000\n1397463783\t21.190000\n1397464383\t21.190000\n1397464984\t21.190000\n1397465584\t21.250000\n1397466185\t21.310000\n1397466785\t21.250000\n1397467386\t21.250000\n1397467986\t21.310000\n1397468587\t21.310000\n1397469188\t21.310000\n1397469788\t21.310000\n1397470389\t21.380000\n1397470989\t21.310000\n1397471590\t21.310000\n1397472190\t21.310000\n1397472791\t21.380000\n1397473406\t21.380000\n1397474007\t21.380000\n1397474607\t21.380000\n1397475208\t21.380000\n1397475808\t21.380000\n1397476409\t21.380000\n1397477010\t21.310000\n1397477610\t21.380000\n1397478211\t21.380000\n1397478811\t21.440000\n1397479412\t21.380000\n1397480012\t21.440000\n1397480613\t21.440000\n1397481213\t21.440000\n1397481814\t21.500000\n1397482414\t21.440000\n1397483015\t21.500000\n1397483615\t21.500000\n1397484216\t21.500000\n1397484816\t21.560000\n1397485417\t21.560000\n1397486017\t21.560000\n1397486618\t21.560000\n1397487218\t21.500000\n1397487819\t21.560000\n1397488419\t21.560000\n1397489020\t21.560000\n1397489635\t21.620000\n1397490236\t21.620000\n1397490837\t21.690000\n1397491437\t21.690000\n1397492038\t21.690000\n1397492638\t21.690000\n1397493239\t21.750000\n1397493839\t21.750000\n1397494440\t21.750000\n1397495040\t21.750000\n1397495641\t21.810000\n1397496241\t21.750000\n1397496842\t21.750000\n1397497442\t21.750000\n1397498043\t21.750000\n1397498643\t21.750000\n1397499244\t21.750000\n1397499844\t21.750000\n1397500445\t21.750000\n1397501045\t21.810000\n1397501646\t21.810000\n1397502247\t21.750000\n1397502847\t21.750000\n1397503448\t21.750000\n1397504048\t21.750000\n1397504649\t21.750000\n1397505249\t21.750000\n1397505865\t21.810000\n1397506465\t21.750000\n1397507066\t21.810000\n1397507666\t21.810000\n1397508267\t21.810000\n1397508867\t21.810000\n1397509468\t21.810000\n1397510068\t21.880000\n1397510669\t21.810000\n1397511269\t21.810000\n1397511870\t21.880000\n1397512470\t21.880000\n1397513071\t21.810000\n1397513672\t21.810000\n1397514272\t21.880000\n1397514873\t21.880000\n1397515473\t21.880000\n1397516074\t21.880000\n1397516674\t21.810000\n1397517275\t21.810000\n1397517875\t21.810000\n1397518476\t21.880000\n1397519076\t21.810000\n1397519677\t21.810000\n1397520277\t21.810000\n1397520878\t21.810000\n1397521478\t21.810000\n1397522079\t21.810000\n1397522679\t21.810000\n1397523280\t21.810000\n1397523880\t21.810000\n1397524496\t21.810000\n1397525096\t21.810000\n1397525697\t21.810000\n1397526297\t21.810000\n1397526898\t21.810000\n1397527498\t21.810000\n1397528099\t21.810000\n1397528699\t21.810000\n1397529300\t21.810000\n1397529901\t21.810000\n1397530501\t21.810000\n1397531102\t21.750000\n1397531702\t21.810000\n1397532303\t21.810000\n1397532903\t21.810000\n1397533504\t21.810000\n1397534104\t21.750000\n1397534705\t21.750000\n1397535305\t21.750000\n1397535906\t21.750000\n1397536506\t21.690000\n1397537107\t21.690000\n1397537707\t21.690000\n1397538308\t21.690000\n1397538908\t21.690000\n1397539509\t21.690000\n1397540110\t21.690000\n1397540710\t21.690000\n1397541311\t21.690000\n1397541926\t21.690000\n1397542527\t21.690000\n1397543127\t21.620000\n1397543728\t21.690000\n1397544328\t21.690000\n1397544929\t21.690000\n1397545529\t21.690000\n1397546130\t21.690000\n1397546730\t21.750000\n1397547331\t21.750000\n1397547931\t21.810000\n1397548532\t21.810000\n1397549132\t21.750000\n1397549733\t21.810000\n1397550333\t21.810000\n1397550934\t21.750000\n1397551534\t21.750000\n1397552135\t21.810000\n1397552736\t21.810000\n1397553336\t21.810000\n1397553937\t21.810000\n1397554537\t21.810000\n1397555138\t21.810000\n1397555738\t21.750000\n1397556339\t21.810000\n1397556939\t21.810000\n1397557540\t21.810000\n1397558140\t21.810000\n1397558741\t21.810000\n1397559341\t21.810000\n1397559942\t21.880000\n1397560557\t21.880000\n1397561158\t21.880000\n1397561758\t21.940000\n1397562359\t21.880000\n1397562960\t21.880000\n1397563560\t21.880000\n1397564161\t21.880000\n1397564761\t21.940000\n1397565362\t21.940000\n1397565962\t21.940000\n1397566563\t21.940000\n1397567163\t21.940000\n1397567764\t22.000000\n1397568364\t22.060000\n1397568965\t22.060000\n1397569565\t22.060000\n1397570166\t22.120000\n1397570766\t22.120000\n1397571367\t22.060000\n1397571967\t22.120000\n1397572568\t22.190000\n1397573169\t22.190000\n1397573769\t22.250000\n1397574370\t22.250000\n1397574970\t22.250000\n1397575571\t22.250000\n1397576171\t22.190000\n1397576772\t22.190000\n1397577372\t22.190000\n1397577973\t22.190000\n1397578588\t22.190000\n1397579189\t22.190000\n1397579789\t22.190000\n1397580390\t22.120000\n1397580990\t22.190000\n1397581591\t22.190000\n1397582191\t22.190000\n1397582792\t22.250000\n1397583392\t22.190000\n1397583993\t22.190000\n1397584593\t22.250000\n1397585194\t22.250000\n1397585794\t22.250000\n1397586395\t22.250000\n1397586996\t22.250000\n1397587596\t22.250000\n1397588197\t22.250000\n1397588797\t22.310000\n1397589398\t22.310000\n1397589998\t22.310000\n1397590599\t22.310000\n1397591199\t22.310000\n1397591800\t22.310000\n1397592400\t22.250000\n1397593001\t22.310000\n1397593601\t22.310000\n1397594202\t22.310000\n1397594803\t22.310000\n1397595403\t22.250000\n1397596004\t22.250000\n1397596604\t22.250000\n1397597205\t22.310000\n1397597805\t22.250000\n1397598406\t22.310000\n1397599006\t22.250000\n1397599622\t22.250000\n1397600222\t22.310000\n1397600823\t22.310000\n1397601423\t22.310000\n1397602024\t22.310000\n1397602624\t22.310000\n1397603225\t22.310000\n1397603825\t22.250000\n1397604426\t22.250000\n1397605026\t22.250000\n1397605627\t22.250000\n1397606227\t22.250000\n1397606828\t22.250000\n1397607428\t22.250000\n1397608029\t22.250000\n1397608630\t22.250000\n1397609230\t22.190000\n1397609831\t22.190000\n1397610431\t22.190000\n1397611032\t22.190000\n1397611632\t22.190000\n1397612233\t22.190000\n1397612833\t22.190000\n1397613434\t22.120000\n1397614034\t22.120000\n1397614635\t22.120000\n1397615235\t22.120000\n1397615836\t22.120000\n1397616436\t22.120000\n1397617037\t22.060000\n1397617637\t22.060000\n1397618253\t22.060000\n1397618854\t22.060000\n1397619454\t22.060000\n1397620055\t22.000000\n1397620655\t22.060000\n1397621256\t22.000000\n1397621856\t22.000000\n1397622457\t22.000000\n1397623057\t22.000000\n1397623658\t22.000000\n1397624258\t22.000000\n1397624859\t22.000000\n1397625459\t22.000000\n1397626060\t22.000000\n1397626660\t22.000000\n1397627261\t22.000000\n1397627861\t22.000000\n1397628462\t22.000000\n1397629062\t22.000000\n1397629663\t22.000000\n1397630263\t22.000000\n1397630864\t22.000000\n1397631464\t22.000000\n1397632065\t22.000000\n1397632665\t22.000000\n1397633266\t22.000000\n1397633866\t22.000000\n1397634467\t22.060000\n1397635067\t22.000000\n1397635668\t22.000000\n1397636268\t22.000000\n1397636884\t22.000000\n1397637484\t22.060000\n1397638085\t22.060000\n1397638686\t22.060000\n1397639286\t22.060000\n1397639887\t22.060000\n1397640487\t22.120000\n1397641088\t22.060000\n1397641688\t22.120000\n1397642289\t22.060000\n1397642889\t22.060000\n1397643490\t22.060000\n1397644090\t22.120000\n1397644691\t22.060000\n1397645291\t22.120000\n1397645892\t22.120000\n1397646492\t22.060000\n1397647093\t22.120000\n1397647693\t21.940000\n1397648294\t21.880000\n1397648894\t21.940000\n1397649495\t22.000000\n1397650095\t22.060000\n1397650696\t22.000000\n1397651296\t22.060000\n1397651897\t21.940000\n1397652498\t22.000000\n1397653098\t22.000000\n1397653699\t22.060000\n1397654299\t22.060000\n1397654915\t21.940000\n1397655515\t22.000000\n1397656116\t21.940000\n1397656716\t21.880000\n1397657317\t21.940000\n1397657917\t21.940000\n1397658518\t21.940000\n1397659118\t21.940000\n1397659719\t21.880000\n1397660319\t21.940000\n1397660920\t21.940000\n1397661520\t21.880000\n1397662121\t21.880000\n1397662721\t21.880000\n1397663322\t21.810000\n1397663923\t21.810000\n1397664523\t21.750000\n1397665124\t21.690000\n1397665724\t21.750000\n1397666325\t21.810000\n1397666925\t21.940000\n1397667526\t21.940000\n1397668126\t21.940000\n1397668727\t21.940000\n1397669327\t21.880000\n1397669928\t21.880000\n1397670528\t21.810000\n1397671129\t21.810000\n1397671729\t21.810000\n1397672345\t21.880000\n1397672945\t21.810000\n1397673546\t21.810000\n1397674146\t21.810000\n1397674747\t21.810000\n1397675347\t21.750000\n1397675948\t21.750000\n1397676548\t21.810000\n1397677149\t21.750000\n1397677750\t21.750000\n1397678350\t21.750000\n1397678951\t21.810000\n1397679551\t21.810000\n1397680152\t21.880000\n1397680752\t21.810000\n1397681353\t21.810000\n1397681953\t21.810000\n1397682554\t21.750000\n1397683154\t21.750000\n1397683755\t21.810000\n1397684355\t21.880000\n1397684956\t21.810000\n1397685556\t21.810000\n1397686157\t21.810000\n1397686757\t21.810000\n1397687358\t21.810000\n1397687958\t21.880000\n1397688559\t21.810000\n1397689159\t21.810000\n1397689760\t21.810000\n1397690360\t21.810000\n1397690976\t21.810000\n1397691577\t21.810000\n1397692177\t21.810000\n1397692778\t21.750000\n1397693378\t21.750000\n1397693979\t21.810000\n1397694579\t21.810000\n1397695180\t21.810000\n1397695780\t21.880000\n1397696381\t21.810000\n1397696981\t21.880000\n1397697582\t21.810000\n1397698182\t21.810000\n1397698783\t21.810000\n1397699383\t21.810000\n1397699984\t21.750000\n1397700584\t21.690000\n1397701185\t21.750000\n1397701785\t21.750000\n1397702386\t21.750000\n1397702986\t21.750000\n1397703587\t21.750000\n1397704187\t21.620000\n1397704788\t21.620000\n1397705388\t21.620000\n1397705989\t21.690000\n1397706589\t21.690000\n1397707190\t21.750000\n1397707790\t21.750000\n1397708391\t21.750000\n1397709007\t21.750000\n1397709607\t21.690000\n1397710208\t21.560000\n1397710808\t21.560000\n1397711409\t21.560000\n1397712009\t21.560000\n1397712610\t21.500000\n1397713210\t21.440000\n1397713811\t21.440000\n1397714411\t21.380000\n1397715012\t21.380000\n1397715612\t21.380000\n1397716213\t21.380000\n1397716813\t21.380000\n1397717414\t21.310000\n1397718014\t21.250000\n1397718615\t21.190000\n1397719215\t21.060000\n1397719816\t20.940000\n1397720416\t20.810000\n1397721017\t20.810000\n1397721618\t20.940000\n1397722218\t20.880000\n1397722819\t20.940000\n1397723419\t20.940000\n1397724020\t20.940000\n1397724620\t20.880000\n1397725236\t21.000000\n1397725836\t21.000000\n1397726437\t21.000000\n1397727037\t20.880000\n1397727638\t20.810000\n1397728239\t20.880000\n1397728839\t20.810000\n1397729440\t20.750000\n1397730040\t20.690000\n1397730641\t20.690000\n1397731241\t20.560000\n1397731842\t20.560000\n1397732442\t20.560000\n1397733043\t20.560000\n1397733643\t20.500000\n1397734244\t20.440000\n1397734844\t20.440000\n1397735445\t20.560000\n1397736045\t20.560000\n1397736646\t20.500000\n1397737246\t20.560000\n1397737847\t20.500000\n1397738447\t20.500000\n1397739048\t20.560000\n1397739648\t20.620000\n1397740264\t20.620000\n1397740865\t20.620000\n1397741465\t20.620000\n1397742066\t20.620000\n1397742666\t20.560000\n1397743267\t20.560000\n1397743867\t20.620000\n1397744468\t20.620000\n1397745068\t20.500000\n1397745669\t20.500000\n1397746269\t20.500000\n1397746870\t20.560000\n1397747470\t20.500000\n1397748071\t20.500000\n1397748671\t20.440000\n1397749272\t20.440000\n1397749873\t20.440000\n1397750473\t20.560000\n1397751074\t20.690000\n1397751674\t20.750000\n1397752275\t20.620000\n1397752875\t20.560000\n1397753476\t20.620000\n1397754076\t20.810000\n1397754677\t20.810000\n1397755277\t20.810000\n1397755878\t20.880000\n1397756478\t20.940000\n1397757079\t21.000000\n1397757679\t20.940000\n1397758280\t20.940000\n1397758895\t20.880000\n1397759496\t20.880000\n1397760096\t20.810000\n1397760697\t20.750000\n1397761297\t20.750000\n1397761898\t20.620000\n1397762498\t20.690000\n1397763099\t20.750000\n1397763699\t20.810000\n1397764300\t20.810000\n1397764901\t20.810000\n1397765501\t20.750000\n1397766102\t20.810000\n1397766702\t20.810000\n1397767303\t20.810000\n1397767903\t20.750000\n1397768504\t20.750000\n1397769104\t20.690000\n1397769705\t20.690000\n1397770305\t20.750000\n1397770906\t20.750000\n1397771506\t20.810000\n1397772107\t20.750000\n1397772707\t20.750000\n1397773308\t20.810000\n1397773909\t20.810000\n1397774509\t20.810000\n1397775110\t20.810000\n1397775710\t20.810000\n1397776326\t20.880000\n1397776926\t20.880000\n1397777527\t20.940000\n1397778127\t21.060000\n1397778728\t21.060000\n1397779328\t21.120000\n1397779929\t21.060000\n1397780529\t21.060000\n1397781130\t21.120000\n1397781730\t21.060000\n1397782331\t21.120000\n1397782932\t21.190000\n1397783532\t21.190000\n1397784133\t21.310000\n1397784733\t21.310000\n1397785334\t21.310000\n1397785934\t21.380000\n1397786535\t21.380000\n1397787135\t21.500000\n1397787736\t21.560000\n1397788336\t21.560000\n1397788937\t21.620000\n1397789537\t21.690000\n1397790138\t21.690000\n1397790738\t21.750000\n1397791339\t21.750000\n1397791939\t21.750000\n1397792540\t21.750000\n1397793140\t21.750000\n1397793741\t21.810000\n1397794356\t21.810000\n1397794957\t21.810000\n1397795558\t21.810000\n1397796158\t21.810000\n1397796759\t21.810000\n1397797359\t21.880000\n1397797960\t21.880000\n1397798560\t21.880000\n1397799161\t21.940000\n1397799761\t21.940000\n1397800362\t21.940000\n1397800962\t21.940000\n1397801563\t21.940000\n1397802163\t21.940000\n1397802764\t22.000000\n1397803364\t22.000000\n1397803965\t22.000000\n1397804565\t22.000000\n1397805166\t22.000000\n1397805766\t22.060000\n1397806367\t22.060000\n1397806967\t22.060000\n1397807568\t22.060000\n1397808168\t22.060000\n1397808769\t22.060000\n1397809369\t22.060000\n1397809970\t22.120000\n1397810570\t22.120000\n1397811171\t22.120000\n1397811772\t22.120000\n1397812387\t22.120000\n1397812988\t22.120000\n1397813588\t22.120000\n1397814189\t22.120000\n1397814789\t22.120000\n1397815390\t22.120000\n1397815990\t22.120000\n1397816591\t22.190000\n1397817191\t22.120000\n1397817792\t22.120000\n1397818392\t22.190000\n1397818993\t22.190000\n1397819594\t22.120000\n1397820194\t22.120000\n1397820795\t22.190000\n1397821395\t22.190000\n1397821996\t22.190000\n1397822596\t22.190000\n1397823197\t22.190000\n1397823797\t22.190000\n1397824398\t22.250000\n1397824998\t22.250000\n1397825599\t22.250000\n1397826199\t22.250000\n1397826800\t22.250000\n1397827400\t22.250000\n1397828001\t22.250000\n1397828601\t22.310000\n1397829202\t22.310000\n1397829802\t22.310000\n1397830418\t22.310000\n1397831018\t22.310000\n1397831619\t22.310000\n1397832219\t22.190000\n1397832820\t22.250000\n1397833420\t21.880000\n1397834021\t22.120000\n1397834621\t22.190000\n1397835222\t22.250000\n1397835823\t22.250000\n1397836423\t22.310000\n1397837024\t22.380000\n1397837624\t22.440000\n1397838225\t22.440000\n1397838825\t22.440000\n1397839426\t22.440000\n1397840026\t22.500000\n1397840627\t22.500000\n1397841227\t22.560000\n1397841828\t22.500000\n1397842428\t22.560000\n1397843029\t22.560000\n1397843629\t22.620000\n1397844230\t22.620000\n1397844845\t22.560000\n1397845446\t22.560000\n1397846046\t22.560000\n1397846647\t22.500000\n1397847247\t22.560000\n1397847848\t22.560000\n1397848448\t22.560000\n1397849049\t22.620000\n1397849649\t22.620000\n1397850250\t22.620000\n1397850850\t22.690000\n1397851451\t22.690000\n1397852052\t22.620000\n1397852652\t22.620000\n1397853253\t22.690000\n1397853853\t22.690000\n1397854454\t22.690000\n1397855054\t22.690000\n1397855655\t22.690000\n1397856255\t22.690000\n1397856856\t22.690000\n1397857456\t22.690000\n1397858057\t22.690000\n1397858658\t22.690000\n1397859258\t22.690000\n1397859859\t22.750000\n1397860459\t22.690000\n1397861060\t22.690000\n1397861660\t22.750000\n1397862261\t22.750000\n1397862861\t22.690000\n1397863477\t22.690000\n1397864077\t22.750000\n1397864678\t22.690000\n1397865278\t22.750000\n1397865879\t22.750000\n1397866479\t22.750000\n1397867080\t22.750000\n1397867680\t22.750000\n1397868281\t22.750000\n1397868882\t22.750000\n1397869482\t22.810000\n1397870083\t22.750000\n1397870683\t22.810000\n1397871284\t22.810000\n1397871884\t22.750000\n1397872485\t22.810000\n1397873085\t22.810000\n1397873686\t22.810000\n1397874286\t22.810000\n1397874887\t22.810000\n1397875487\t22.810000\n1397876088\t22.810000\n1397876688\t22.810000\n1397877289\t22.810000\n1397877889\t22.810000\n1397878490\t22.810000\n1397879090\t22.880000\n1397879691\t22.880000\n1397880292\t22.810000\n1397880907\t22.810000\n1397881508\t22.880000\n1397882108\t22.880000\n1397882709\t22.880000\n1397883309\t22.880000\n1397883910\t22.880000\n1397884510\t22.880000\n1397885111\t22.880000\n1397885711\t22.880000\n1397886312\t22.880000\n1397886912\t22.880000\n1397887513\t22.880000\n1397888113\t22.940000\n1397888714\t22.880000\n1397889314\t22.880000\n1397889915\t22.880000\n1397890515\t22.880000\n1397891116\t22.880000\n1397891717\t22.880000\n1397892317\t22.940000\n1397892918\t22.880000\n1397893518\t22.940000\n1397894119\t22.940000\n1397894719\t22.940000\n1397895320\t22.940000\n1397895920\t22.940000\n1397896536\t22.940000\n1397897136\t22.940000\n1397897737\t22.940000\n1397898337\t22.940000\n1397898938\t22.940000\n1397899538\t23.000000\n1397900139\t23.000000\n1397900739\t23.000000\n1397901340\t23.000000\n1397901940\t23.060000\n1397902541\t23.060000\n1397903142\t23.060000\n1397903742\t23.060000\n1397904343\t23.060000\n1397904943\t23.060000\n1397905544\t23.060000\n1397906144\t23.120000\n1397906745\t23.120000\n1397907345\t23.120000\n1397907946\t23.190000\n1397908546\t23.190000\n1397909146\t23.120000\n1397909747\t23.190000\n1397910348\t23.120000\n1397910948\t23.190000\n1397911549\t23.250000\n1397912149\t23.250000\n1397912750\t23.250000\n1397913350\t23.250000\n1397913951\t23.310000\n1397914566\t23.310000\n1397915167\t23.250000\n1397915767\t23.310000\n1397916368\t23.380000\n1397916968\t23.310000\n1397917569\t23.380000\n1397918169\t23.380000\n1397918770\t23.310000\n1397919371\t23.380000\n1397919971\t23.380000\n1397920572\t23.380000\n1397921172\t23.380000\n1397921773\t23.380000\n1397922373\t23.440000\n1397922974\t23.440000\n1397923574\t23.440000\n1397924175\t23.500000\n1397924775\t23.500000\n1397925376\t23.500000\n1397925976\t23.500000\n1397926577\t23.500000\n1397927177\t23.500000\n1397927778\t23.560000\n1397928378\t23.560000\n1397928979\t23.560000\n1397929579\t23.560000\n1397930180\t23.560000\n1397930780\t23.560000\n1397931381\t23.560000\n1397931981\t23.560000\n1397932597\t23.620000\n1397933198\t23.560000\n1397933798\t23.620000\n1397934398\t23.620000\n1397934999\t23.620000\n1397935600\t23.560000\n1397936200\t23.560000\n1397936801\t23.560000\n1397937401\t23.560000\n1397938002\t23.560000\n1397938602\t23.560000\n1397939203\t23.560000\n1397939803\t23.560000\n1397940404\t23.560000\n1397941004\t23.560000\n1397941605\t23.560000\n1397942205\t23.560000\n1397942806\t23.560000\n1397943406\t23.500000\n1397944007\t23.560000\n1397944607\t23.560000\n1397945208\t23.560000\n1397945808\t23.560000\n1397946409\t23.500000\n1397947009\t23.500000\n1397947610\t23.560000\n1397948211\t23.560000\n1397948826\t23.500000\n1397949427\t23.500000\n1397950027\t23.500000\n1397950628\t23.500000\n1397951228\t23.500000\n1397951828\t23.500000\n1397952429\t23.440000\n1397953029\t23.440000\n1397953630\t23.500000\n1397954231\t23.440000\n1397954831\t23.440000\n1397955432\t23.440000\n1397956032\t23.440000\n1397956633\t23.440000\n1397957233\t23.440000\n1397957834\t23.440000\n1397958434\t23.380000\n1397959035\t23.380000\n1397959635\t23.380000\n1397960236\t23.380000\n1397960836\t23.380000\n1397961437\t23.380000\n1397962037\t23.380000\n1397962638\t23.380000\n1397963238\t23.310000\n1397963839\t23.310000\n1397964440\t23.310000\n1397965040\t23.310000\n1397965641\t23.310000\n1397966256\t23.310000\n1397966857\t23.310000\n1397967457\t23.310000\n1397968058\t23.310000\n1397968658\t23.310000\n1397969259\t23.310000\n1397969859\t23.310000\n1397970460\t23.250000\n1397971060\t23.310000\n1397971661\t23.250000\n1397972261\t23.310000\n1397972862\t23.310000\n1397973463\t23.310000\n1397974063\t23.310000\n1397974664\t23.310000\n1397975264\t23.310000\n1397975865\t23.310000\n1397976465\t23.380000\n1397977066\t23.380000\n1397977666\t23.380000\n1397978267\t23.380000\n1397978867\t23.380000\n1397979468\t23.440000\n1397980068\t23.380000\n1397980669\t23.380000\n1397981269\t23.440000\n1397981870\t23.440000\n1397982470\t23.440000\n1397983071\t23.440000\n1397983671\t23.440000\n1397984272\t23.440000\n1397984872\t23.440000\n1397985488\t23.440000\n1397986088\t23.500000\n1397986689\t23.500000\n1397987289\t23.560000\n1397987890\t23.560000\n1397988490\t23.560000\n1397989091\t23.500000\n1397989692\t23.560000\n1397990292\t23.560000\n1397990893\t23.560000\n1397991493\t23.560000\n1397992094\t23.380000\n1397992694\t23.500000\n1397993294\t23.560000\n1397993895\t23.500000\n1397994496\t23.560000\n1397995096\t23.500000\n1397995697\t23.560000\n1397996297\t23.560000\n1397996898\t23.560000\n1397997498\t23.560000\n1397998099\t23.560000\n1397998699\t23.560000\n1397999300\t23.620000\n1397999900\t23.620000\n1398000501\t23.620000\n1398001101\t23.690000\n1398001702\t23.750000\n1398002302\t23.750000\n1398002903\t23.810000\n1398003503\t23.810000\n1398004104\t23.810000\n1398004719\t23.880000\n1398005320\t23.880000\n1398005921\t23.880000\n1398006521\t23.880000\n1398007122\t23.880000\n1398007722\t23.940000\n1398008323\t23.880000\n1398008923\t23.940000\n1398009524\t23.880000\n1398010124\t23.880000\n1398010725\t23.940000\n1398011325\t23.940000\n1398011926\t23.810000\n1398012527\t23.940000\n1398013127\t23.880000\n1398013728\t23.940000\n1398014328\t24.000000\n1398014929\t23.940000\n1398015529\t23.940000\n1398016129\t24.000000\n1398016730\t24.000000\n1398017331\t24.060000\n1398017931\t24.060000\n1398018532\t24.060000\n1398019132\t24.120000\n1398019733\t24.120000\n1398020333\t24.120000\n1398020934\t24.120000\n1398021534\t24.120000\n1398022135\t24.120000\n1398022750\t24.120000\n1398023351\t24.120000\n1398023951\t24.120000\n1398024552\t24.190000\n1398025152\t24.120000\n1398025753\t24.120000\n1398026353\t24.120000\n1398026954\t24.120000\n1398027554\t24.120000\n1398028155\t24.190000\n1398028755\t24.190000\n1398029356\t24.190000\n1398029956\t24.120000\n1398030557\t24.190000\n1398031158\t24.190000\n1398031758\t24.190000\n1398032359\t24.120000\n1398032959\t24.190000\n1398033560\t24.190000\n1398034160\t24.190000\n1398034761\t24.120000\n1398035361\t24.190000\n1398035962\t24.190000\n1398036562\t24.120000\n1398037163\t24.120000\n1398037763\t24.120000\n1398038364\t24.120000\n1398038964\t24.120000\n1398039565\t24.120000\n1398040165\t24.060000\n1398040766\t24.120000\n1398041382\t24.120000\n1398041982\t24.120000\n1398042583\t24.120000\n1398043183\t24.060000\n1398043784\t24.120000\n1398044384\t24.120000\n1398044985\t24.120000\n1398045585\t24.120000\n1398046186\t24.120000\n1398046786\t24.120000\n1398047387\t24.120000\n1398047987\t24.120000\n1398048588\t24.120000\n1398049188\t24.120000\n1398049789\t24.120000\n1398050389\t24.120000\n1398050990\t24.120000\n1398051590\t24.120000\n1398052191\t24.120000\n1398052792\t24.120000\n1398053392\t24.120000\n1398053993\t24.120000\n1398054593\t24.120000\n1398055194\t24.120000\n1398055794\t24.120000\n1398056395\t24.120000\n1398056995\t24.060000\n1398057596\t24.120000\n1398058211\t24.120000\n1398058812\t24.120000\n1398059412\t24.060000\n1398060013\t24.060000\n1398060613\t24.120000\n1398061214\t24.120000\n1398061814\t24.060000\n1398062415\t24.060000\n1398063015\t24.060000\n1398063616\t24.060000\n1398064216\t24.060000\n1398064817\t24.000000\n1398065417\t24.000000\n1398066018\t24.000000\n1398066618\t24.000000\n1398067219\t24.000000\n1398067819\t24.000000\n1398068420\t24.000000\n1398069020\t24.000000\n1398069621\t24.000000\n1398070221\t24.000000\n1398070822\t24.060000\n1398071422\t24.060000\n1398072023\t24.000000\n1398072623\t24.000000\n1398073224\t24.060000\n1398073824\t24.060000\n1398074425\t24.060000\n1398075026\t24.060000\n1398075626\t24.060000\n1398076242\t24.060000\n1398076842\t24.060000\n1398077443\t24.060000\n1398078043\t24.060000\n1398078644\t24.060000\n1398079244\t24.060000\n1398079845\t24.120000\n1398080445\t24.120000\n1398081046\t24.120000\n1398081646\t24.120000\n1398082247\t24.120000\n1398082847\t24.120000\n1398083448\t24.120000\n1398084048\t24.190000\n1398084649\t24.190000\n1398085250\t24.190000\n1398085850\t24.190000\n1398086451\t24.250000\n1398087051\t24.250000\n1398087652\t24.190000\n1398088252\t24.310000\n1398088853\t24.250000\n1398089453\t24.310000\n1398090054\t24.380000\n1398090654\t24.380000\n1398091255\t24.310000\n1398091855\t24.380000\n1398092456\t24.380000\n1398093056\t24.380000\n1398093657\t24.440000\n1398094273\t24.380000\n1398094873\t24.440000\n1398095474\t24.440000\n1398096074\t24.440000\n1398096675\t24.440000\n1398097275\t24.500000\n1398097876\t24.560000\n1398098476\t24.560000\n1398099077\t24.560000\n1398099677\t24.620000\n1398100278\t24.620000\n1398100878\t24.690000\n1398101479\t24.690000\n1398102079\t24.690000\n1398102680\t24.690000\n1398103280\t24.690000\n1398103881\t24.750000\n1398104481\t24.750000\n1398105082\t24.810000\n1398105682\t24.750000\n1398106283\t24.750000\n1398106883\t24.810000\n1398107484\t24.810000\n1398108085\t24.880000\n1398108685\t24.880000\n1398109286\t24.880000\n1398109886\t24.880000\n1398110487\t24.880000\n1398111087\t24.880000\n1398111688\t24.880000\n1398112303\t24.880000\n1398112904\t24.880000\n1398113504\t24.880000\n1398114105\t24.880000\n1398114705\t24.880000\n1398115306\t24.940000\n1398115906\t24.880000\n1398116507\t24.880000\n1398117107\t24.940000\n1398117708\t24.940000\n1398118308\t24.940000\n1398118909\t24.940000\n1398119509\t24.940000\n1398120110\t24.940000\n1398120710\t24.940000\n1398121311\t24.940000\n1398121912\t24.940000\n1398122512\t24.940000\n1398123113\t24.940000\n1398123713\t24.940000\n1398124314\t24.940000\n1398124914\t24.940000\n1398125515\t24.940000\n1398126115\t24.940000\n1398126716\t24.940000\n1398127316\t24.880000\n1398127917\t24.880000\n1398128517\t24.880000\n1398129118\t24.880000\n1398129718\t24.880000\n1398130319\t24.880000\n1398130934\t24.880000\n1398131535\t24.880000\n1398132135\t24.880000\n1398132736\t24.810000\n1398133337\t24.880000\n1398133937\t24.810000\n1398134538\t24.810000\n1398135138\t24.810000\n1398135739\t24.810000\n1398136339\t24.810000\n1398136940\t24.810000\n1398137540\t24.750000\n1398138141\t24.750000\n1398138741\t24.750000\n1398139342\t24.750000\n1398139942\t24.750000\n1398140543\t24.750000\n1398141143\t24.750000\n1398141744\t24.750000\n1398142344\t24.690000\n1398142945\t24.750000\n1398143546\t24.750000\n1398144146\t24.750000\n1398144747\t24.750000\n1398145347\t24.750000\n1398145948\t24.750000\n1398146548\t24.750000\n1398147149\t24.810000\n1398147749\t24.810000\n1398148350\t24.750000\n1398148965\t24.750000\n1398149566\t24.750000\n1398150166\t24.750000\n1398150767\t24.750000\n1398151367\t24.750000\n1398151968\t24.750000\n1398152568\t24.690000\n1398153169\t24.690000\n1398153769\t24.690000\n1398154370\t24.750000\n1398154971\t24.690000\n1398155571\t24.690000\n1398156172\t24.690000\n1398156772\t24.690000\n1398157373\t24.690000\n1398157973\t24.690000\n1398158574\t24.620000\n1398159174\t24.620000\n1398159775\t24.620000\n1398160375\t24.620000\n1398160976\t24.560000\n1398161577\t24.620000\n1398162177\t24.690000\n1398162778\t24.750000\n1398163378\t24.750000\n1398163979\t24.750000\n1398164579\t24.750000\n1398165180\t24.750000\n1398165780\t24.750000\n1398166381\t24.810000\n1398166996\t24.810000\n1398167597\t24.620000\n1398168197\t23.060000\n1398168798\t22.060000\n1398169398\t21.560000\n1398169999\t21.310000\n1398170599\t21.060000\n1398171200\t20.810000\n1398171800\t20.690000\n1398172401\t20.560000\n1398173001\t20.500000\n1398173602\t20.500000\n1398174203\t20.380000\n1398174803\t20.440000\n1398175404\t20.440000\n1398176004\t20.440000\n1398176605\t20.500000\n1398177205\t20.440000\n1398177806\t20.310000\n1398178406\t20.250000\n1398179007\t20.310000\n1398179607\t20.310000\n1398180208\t20.250000\n1398180808\t20.190000\n1398181409\t20.810000\n1398182009\t21.690000\n1398182625\t22.190000\n1398183225\t22.500000\n1398183826\t22.750000\n1398184426\t22.940000\n1398185027\t23.060000\n1398185627\t23.190000\n1398186228\t23.250000\n1398186828\t23.310000\n1398187429\t23.380000\n1398188029\t23.440000\n1398188630\t23.500000\n1398189230\t23.560000\n1398189831\t23.620000\n1398190432\t23.620000\n1398191032\t23.620000\n1398191633\t23.690000\n1398192233\t23.690000\n1398192834\t23.750000\n1398193434\t23.810000\n1398194035\t23.880000\n1398194635\t23.810000\n1398195236\t23.810000\n1398195836\t23.750000\n1398196437\t23.750000\n1398197037\t23.810000\n1398197638\t23.880000\n1398198238\t23.880000\n1398198839\t23.940000\n1398199439\t23.940000\n1398200040\t23.940000\n1398200655\t24.000000\n1398201256\t24.000000\n1398201857\t24.000000\n1398202457\t24.060000\n1398203057\t24.060000\n1398203658\t24.120000\n1398204259\t24.190000\n1398204859\t24.120000\n1398205460\t24.190000\n1398206060\t24.190000\n1398206661\t24.190000\n1398207261\t24.190000\n1398207862\t24.190000\n1398208462\t24.190000\n1398209063\t24.250000\n1398209663\t24.250000\n1398210264\t24.250000\n1398210864\t24.250000\n1398211465\t24.250000\n1398212066\t24.310000\n1398212666\t24.310000\n1398213267\t24.310000\n1398213867\t24.310000\n1398214468\t24.310000\n1398215068\t24.310000\n1398215669\t24.380000\n1398216284\t24.310000\n1398216885\t24.310000\n1398217485\t24.310000\n1398218086\t24.310000\n1398218686\t24.310000\n1398219287\t24.250000\n1398219887\t24.250000\n1398220488\t24.250000\n1398221088\t24.250000\n1398221689\t24.190000\n1398222289\t24.190000\n1398222890\t24.190000\n1398223491\t24.190000\n1398224091\t24.190000\n1398224692\t24.250000\n1398225292\t24.190000\n1398225893\t24.190000\n1398226493\t24.190000\n1398227094\t24.190000\n1398227694\t24.190000\n1398228295\t24.120000\n1398228895\t24.060000\n1398229496\t24.060000\n1398230096\t24.060000\n1398230697\t24.000000\n1398231297\t23.940000\n1398231898\t23.940000\n1398232499\t23.880000\n1398233099\t23.880000\n1398233700\t23.810000\n1398234315\t23.810000\n1398234916\t23.750000\n1398235516\t23.690000\n1398236117\t23.690000\n1398236717\t23.620000\n1398237318\t23.690000\n1398237918\t23.620000\n1398238519\t23.620000\n1398239119\t23.560000\n1398239720\t23.440000\n1398240320\t23.440000\n1398240921\t23.500000\n1398241521\t23.500000\n1398242122\t23.440000\n1398242722\t23.440000\n1398243323\t23.440000\n1398243923\t23.440000\n1398244524\t23.440000\n1398245124\t23.500000\n1398245725\t23.440000\n1398246325\t23.500000\n1398246926\t23.500000\n1398247526\t23.440000\n1398248127\t23.440000\n1398248727\t23.380000\n1398249328\t23.380000\n1398249928\t23.440000\n1398250529\t23.440000\n1398251130\t23.440000\n1398251730\t23.440000\n1398252346\t23.380000\n1398252946\t23.440000\n1398253547\t23.440000\n1398254147\t23.380000\n1398254748\t23.380000\n1398255348\t23.380000\n1398255949\t23.380000\n1398256549\t23.380000\n1398257150\t23.380000\n1398257750\t23.380000\n1398258351\t23.380000\n1398258951\t23.310000\n1398259552\t23.310000\n1398260153\t23.310000\n1398260753\t23.310000\n1398261353\t23.310000\n1398261954\t23.250000\n1398262555\t23.250000\n1398263155\t23.250000\n1398263756\t23.250000\n1398264356\t23.310000\n1398264957\t23.310000\n1398265557\t23.310000\n1398266158\t23.380000\n1398266758\t23.310000\n1398267359\t23.310000\n1398267959\t23.380000\n1398268560\t23.380000\n1398269160\t23.440000\n1398269776\t23.380000\n1398270376\t23.310000\n1398270977\t23.380000\n1398271577\t23.380000\n1398272178\t23.380000\n1398272778\t23.310000\n1398273379\t23.310000\n1398273979\t23.250000\n1398274580\t23.190000\n1398275180\t23.190000\n1398275781\t23.190000\n1398276381\t23.250000\n1398276982\t23.250000\n1398277582\t23.250000\n1398278183\t23.250000\n1398278783\t23.190000\n1398279384\t23.190000\n1398279984\t23.190000\n1398280585\t23.190000\n1398281186\t23.190000\n1398281786\t23.190000\n1398282387\t23.190000\n1398282987\t23.190000\n1398283588\t23.190000\n1398284188\t23.120000\n1398284789\t23.190000\n1398285389\t23.120000\n1398285990\t23.120000\n1398286605\t23.060000\n1398287206\t23.060000\n1398287806\t23.060000\n1398288407\t23.060000\n1398289007\t23.000000\n1398289608\t23.000000\n1398290208\t23.000000\n1398290809\t23.000000\n1398291409\t23.000000\n1398292010\t23.060000\n1398292610\t23.120000\n1398293211\t23.120000\n1398293811\t23.120000\n1398294412\t23.190000\n1398295012\t23.190000\n1398295613\t23.190000\n1398296213\t23.250000\n1398296814\t23.250000\n1398297415\t23.250000\n1398298015\t23.250000\n1398298616\t23.250000\n1398299216\t23.250000\n1398299817\t23.250000\n1398300417\t23.250000\n1398301018\t23.250000\n1398301618\t23.310000\n1398302219\t23.250000\n1398302819\t23.250000\n1398303420\t23.250000\n1398304020\t23.250000\n1398304636\t23.250000\n1398305236\t23.310000\n1398305837\t23.250000\n1398306437\t23.310000\n1398307038\t23.310000\n1398307638\t23.310000\n1398308239\t23.310000\n1398308839\t23.310000\n1398309440\t23.310000\n1398310040\t23.250000\n1398310641\t23.250000\n1398311241\t23.310000\n1398311842\t23.250000\n1398312443\t23.250000\n1398313043\t23.250000\n1398313644\t23.250000\n1398314244\t23.250000\n1398314845\t23.250000\n1398315445\t23.190000\n1398316046\t23.120000\n1398316646\t23.060000\n1398317247\t23.000000\n1398317847\t23.000000\n1398318448\t22.940000\n1398319048\t22.940000\n1398319649\t22.940000\n1398320249\t23.000000\n1398320850\t22.940000\n1398321451\t22.940000\n1398322066\t22.940000\n1398322667\t23.000000\n1398323267\t23.000000\n1398323868\t23.000000\n1398324468\t23.000000\n1398325069\t23.000000\n1398325669\t23.000000\n1398326270\t22.940000\n1398326870\t22.940000\n1398327471\t22.940000\n1398328071\t22.940000\n1398328672\t22.940000\n1398329272\t22.940000\n1398329873\t23.000000\n1398330473\t23.000000\n1398331074\t22.880000\n1398331674\t22.810000\n1398332275\t22.810000\n1398332875\t22.750000\n1398333476\t22.690000\n1398334076\t22.690000\n1398334677\t22.690000\n1398335277\t22.620000\n1398335878\t22.690000\n1398336479\t22.620000\n1398337079\t22.620000\n1398337680\t22.620000\n1398338280\t22.620000\n1398338881\t22.620000\n1398339496\t22.620000\n1398340097\t22.620000\n1398340697\t22.620000\n1398341298\t22.620000\n1398341898\t22.620000\n1398342499\t22.690000\n1398343099\t22.620000\n1398343700\t22.690000\n1398344300\t22.690000\n1398344901\t22.690000\n1398345501\t22.620000\n1398346102\t22.690000\n1398346702\t22.690000\n1398347303\t22.750000\n1398347903\t22.810000\n1398348504\t22.750000\n1398349104\t22.880000\n1398349705\t22.880000\n1398350305\t22.940000\n1398350906\t22.880000\n1398351507\t22.940000\n1398352107\t21.380000\n1398352708\t19.750000\n1398353308\t19.120000\n1398353909\t18.810000\n1398354509\t18.560000\n1398355110\t19.440000\n1398355725\t20.620000\n1398356326\t21.250000\n1398356926\t21.620000\n1398357527\t21.940000\n1398358127\t22.060000\n1398358728\t22.250000\n1398359328\t22.380000\n1398359929\t22.500000\n1398360530\t22.500000\n1398361130\t22.620000\n1398361731\t22.690000\n1398362331\t22.690000\n1398362932\t22.750000\n1398363532\t22.750000\n1398364132\t22.750000\n1398364733\t22.810000\n1398365334\t22.810000\n1398365934\t22.880000\n1398366535\t22.880000\n1398367135\t22.880000\n1398367736\t22.880000\n1398368336\t22.940000\n1398368937\t22.880000\n1398369537\t22.940000\n1398370138\t22.940000\n1398370738\t22.940000\n1398371339\t22.940000\n1398371939\t22.940000\n1398372540\t22.940000\n1398373141\t22.940000\n1398373756\t22.940000\n1398374357\t22.940000\n1398374957\t22.940000\n1398375558\t22.940000\n1398376158\t22.940000\n1398376759\t22.940000\n1398377359\t22.940000\n1398377960\t22.940000\n1398378560\t23.000000\n1398379161\t23.000000\n1398379761\t22.940000\n1398380362\t22.940000\n1398380962\t22.940000\n1398381563\t22.940000\n1398382163\t22.940000\n1398382764\t22.940000\n1398383365\t22.940000\n1398383965\t22.940000\n1398384566\t22.940000\n1398385166\t22.940000\n1398385767\t22.940000\n1398386367\t22.940000\n1398386968\t22.940000\n1398387568\t22.940000\n1398388169\t22.940000\n1398388769\t22.880000\n1398389370\t22.880000\n1398389970\t22.880000\n1398390571\t22.880000\n1398391186\t22.880000\n1398391787\t22.880000\n1398392387\t22.810000\n1398392988\t22.880000\n1398393588\t22.810000\n1398394189\t22.810000\n1398394789\t22.750000\n1398395390\t22.810000\n1398395991\t22.750000\n1398396591\t22.750000\n1398397192\t22.750000\n1398397792\t22.750000\n1398398393\t22.750000\n1398398993\t22.750000\n1398399594\t22.750000\n1398400194\t22.750000\n1398400795\t22.750000\n1398401395\t22.750000\n1398401996\t22.750000\n1398402596\t22.750000\n1398403197\t22.690000\n1398403797\t22.750000\n1398404398\t22.690000\n1398404998\t22.690000\n1398405599\t22.750000\n1398406199\t22.750000\n1398406800\t22.750000\n1398407400\t22.750000\n1398408001\t22.750000\n1398408601\t22.750000\n1398409202\t22.750000\n1398409802\t22.750000\n1398410403\t22.810000\n1398411018\t22.810000\n1398411619\t22.810000\n1398412220\t22.750000\n1398412820\t22.750000\n1398413421\t22.750000\n1398414021\t22.750000\n1398414622\t22.750000\n1398415222\t22.690000\n1398415823\t22.750000\n1398416423\t22.750000\n1398417024\t22.750000\n1398417624\t22.750000\n1398418225\t22.750000\n1398418825\t22.810000\n1398419426\t22.810000\n1398420026\t22.810000\n1398420627\t22.880000\n1398421227\t22.880000\n1398421828\t22.880000\n1398422428\t22.880000\n1398423029\t22.880000\n1398423629\t22.880000\n1398424230\t22.880000\n1398424830\t22.940000\n1398425431\t22.940000\n1398426031\t23.000000\n1398426632\t23.000000\n1398427232\t23.000000\n1398427833\t23.000000\n1398428434\t23.000000\n1398429034\t23.000000\n1398429635\t23.000000\n1398430250\t23.000000\n1398430851\t23.060000\n1398431451\t23.120000\n1398432052\t23.120000\n1398432652\t23.190000\n1398433253\t23.120000\n1398433853\t23.120000\n1398434454\t23.060000\n1398435054\t23.060000\n1398435655\t23.120000\n1398436255\t23.060000\n1398436856\t23.060000\n1398437457\t23.120000\n1398438057\t23.120000\n1398438658\t23.120000\n1398439258\t23.120000\n1398439859\t23.120000\n1398440459\t23.190000\n1398441060\t23.190000\n1398441660\t23.190000\n1398442261\t23.190000\n1398442861\t23.250000\n1398443462\t23.190000\n1398444062\t23.250000\n1398444663\t23.250000\n1398445264\t23.250000\n1398445864\t23.310000\n1398446465\t23.310000\n1398447065\t23.310000\n1398447666\t23.310000\n1398448266\t23.310000\n1398448867\t23.310000\n1398449467\t23.380000\n1398450068\t23.380000\n1398450683\t23.380000\n1398451284\t23.380000\n1398451884\t23.380000\n1398452485\t23.380000\n1398453086\t23.310000\n1398453686\t23.380000\n1398454287\t23.380000\n1398454887\t23.380000\n1398455488\t23.380000\n1398456088\t23.380000\n1398456689\t23.380000\n1398457289\t23.380000\n1398457890\t23.380000\n1398458490\t23.380000\n1398459091\t23.310000\n1398459691\t23.380000\n1398460292\t23.380000\n1398460892\t23.380000\n1398461493\t23.380000\n1398462093\t23.380000\n1398462694\t23.380000\n1398463294\t23.380000\n1398463895\t23.380000\n1398464495\t23.380000\n1398465096\t23.380000\n1398465696\t23.380000\n1398466297\t23.380000\n1398466897\t23.440000\n1398467498\t23.380000\n1398468099\t23.380000\n1398468699\t23.380000\n1398469315\t23.380000\n1398469915\t23.380000\n1398470516\t23.380000\n1398471116\t23.440000\n1398471717\t23.380000\n1398472317\t23.380000\n1398472918\t23.380000\n1398473518\t23.380000\n1398474119\t23.380000\n1398474719\t23.380000\n1398475320\t23.380000\n1398475920\t23.380000\n1398476521\t23.310000\n1398477121\t23.310000\n1398477722\t23.310000\n1398478322\t23.310000\n1398478923\t23.310000\n1398479523\t23.310000\n1398480124\t23.310000\n1398480724\t23.250000\n1398481325\t23.310000\n1398481926\t23.310000\n1398482526\t23.250000\n1398483127\t23.250000\n1398483727\t23.250000\n1398484328\t23.250000\n1398484928\t23.190000\n1398485529\t23.250000\n1398486129\t23.250000\n1398486730\t23.190000\n1398487345\t23.250000\n1398487946\t23.250000\n1398488546\t23.190000\n1398489147\t23.250000\n1398489747\t23.190000\n1398490348\t23.250000\n1398490948\t23.250000\n1398491549\t23.250000\n1398492149\t23.250000\n1398492750\t23.250000\n1398493350\t23.250000\n1398493951\t23.310000\n1398494552\t23.310000\n1398495152\t23.310000\n1398495753\t23.310000\n1398496353\t23.380000\n1398496953\t23.380000\n1398497554\t23.380000\n1398498155\t23.440000\n1398498755\t23.380000\n1398499355\t23.440000\n1398499956\t23.440000\n1398500556\t23.500000\n1398501157\t23.440000\n1398501758\t23.500000\n1398502358\t23.440000\n1398502959\t23.500000\n1398503559\t23.500000\n1398504160\t23.500000\n1398504760\t23.560000\n1398505376\t23.560000\n1398505976\t23.560000\n1398506577\t23.560000\n1398507177\t23.620000\n1398507778\t23.620000\n1398508378\t23.620000\n1398508979\t23.560000\n1398509579\t23.690000\n1398510180\t23.620000\n1398510780\t23.690000\n1398511381\t23.690000\n1398511981\t23.690000\n1398512582\t23.690000\n1398513182\t23.690000\n1398513783\t23.750000\n1398514384\t23.750000\n1398514984\t23.750000\n1398515585\t23.750000\n1398516185\t23.750000\n1398516786\t23.750000\n1398517386\t23.750000\n1398517987\t23.750000\n1398518587\t23.750000\n1398519188\t23.750000\n1398519788\t23.750000\n1398520389\t23.810000\n1398520989\t23.810000\n1398521590\t23.880000\n1398522190\t23.810000\n1398522806\t23.810000\n1398523406\t23.810000\n1398524007\t23.880000\n1398524607\t23.880000\n1398525208\t23.940000\n1398525808\t23.940000\n1398526409\t23.940000\n1398527009\t23.940000\n1398527610\t23.940000\n1398528210\t23.940000\n1398528811\t23.940000\n1398529411\t23.940000\n1398649613\t25.190000\n1398650213\t25.190000\n1398650814\t25.190000\n1398651414\t25.190000\n1398652015\t25.190000\n1398652615\t25.190000\n1398653216\t25.190000\n1398653817\t25.190000\n1398654417\t25.190000\n1398655018\t25.120000\n1398655618\t25.120000\n1398656234\t25.120000\n1398656834\t25.120000\n1398657435\t25.120000\n1398658035\t25.120000\n1398658636\t25.120000\n1398659236\t25.120000\n1398659837\t25.120000\n1398660437\t25.120000\n1398661038\t25.120000\n1398661638\t25.120000\n1398662239\t25.120000\n1398662839\t25.120000\n1398663440\t25.120000\n1398664040\t25.120000\n1398664641\t25.120000\n1398665241\t25.120000\n1398665842\t25.120000\n1398666443\t25.120000\n1398667043\t25.120000\n1398667644\t25.190000\n1398668244\t25.190000\n1398668845\t25.190000\n1398669445\t25.190000\n1398670046\t25.190000\n1398670646\t25.120000\n1398671247\t25.120000\n1398671847\t25.120000\n1398672448\t25.120000\n1398673048\t25.060000\n1398673649\t25.000000\n1398674249\t25.060000\n1398674850\t25.060000\n1398675450\t25.000000\n1398676051\t25.060000\n1398676651\t25.060000\n1398677252\t25.060000\n1398677852\t25.000000\n1398678468\t25.120000\n1398679068\t25.120000\n1398679669\t25.120000\n1398680269\t25.120000\n1398680870\t25.060000\n1398681470\t25.060000\n1398682071\t25.120000\n1398682672\t25.190000\n1398683272\t25.190000\n1398683873\t25.250000\n1398684473\t25.310000\n1398685074\t25.310000\n1398685674\t25.310000\n1398686275\t25.310000\n1398686875\t25.310000\n1398687476\t25.310000\n1398688076\t25.380000\n1398688677\t25.440000\n1398689277\t25.440000\n1398689878\t25.500000\n1398690478\t25.500000\n1398691079\t25.500000\n1398691679\t25.560000\n1398692280\t25.500000\n1398692880\t25.560000\n1398693481\t25.620000\n1398694082\t25.620000\n1398694682\t25.620000\n1398695283\t25.620000\n1398695883\t25.690000\n1398696484\t25.620000\n1398697084\t25.620000\n1398697685\t25.560000\n1398698285\t25.560000\n1398698886\t25.620000\n1398699168\t25.620000\n1398700384\t25.620000\n1398700985\t25.620000\n1398701585\t25.750000\n1398702186\t25.690000\n1398702786\t25.690000\n1398703387\t25.620000\n1398703987\t25.620000\n1398704588\t25.690000\n1398705188\t25.620000\n1398705789\t25.620000\n1398706389\t25.750000\n1398706990\t25.810000\n1398707590\t25.810000\n1398708191\t25.880000\n1398708791\t25.940000\n1398709392\t25.940000\n1398709992\t25.940000\n1398710593\t25.940000\n1398711209\t25.940000\n1398711809\t26.000000\n1398712410\t26.000000\n1398713010\t26.000000\n1398713611\t26.000000\n1398714211\t26.060000\n1398714812\t26.060000\n1398715412\t26.060000\n1398716013\t26.060000\n1398716613\t26.060000\n1398717214\t26.060000\n1398717814\t26.120000\n1398718415\t26.060000\n1398719015\t26.060000\n1398719616\t26.120000\n1398720216\t26.120000\n1398720817\t26.120000\n1398721417\t26.120000\n1398722018\t26.120000\n1398722618\t26.120000\n1398723219\t26.120000\n1398723819\t26.120000\n1398724420\t26.120000\n1398725020\t26.190000\n1398725621\t26.120000\n1398726222\t26.120000\n1398726822\t26.120000\n1398727423\t26.120000\n1398728023\t26.190000\n1398728624\t26.190000\n1398729224\t26.190000\n1398729825\t26.190000\n1398730425\t26.190000\n1398731026\t26.190000\n1398731641\t26.190000\n1398732242\t26.250000\n1398732842\t26.190000\n1398733443\t26.190000\n1398734043\t26.190000\n1398734644\t26.190000\n1398735244\t26.190000\n1398735845\t26.250000\n1398736445\t26.250000\n1398737046\t26.250000\n1398737646\t26.250000\n1398738247\t26.190000\n1398738847\t26.250000\n1398739448\t26.250000\n1398740048\t26.190000\n1398740649\t26.190000\n1398741250\t26.190000\n1398741850\t26.190000\n1398742451\t26.190000\n1398743051\t26.190000\n1398743652\t26.190000\n1398744252\t26.190000\n1398744853\t26.190000\n1398745453\t26.250000\n1398746054\t26.250000\n1398746654\t26.250000\n1398747255\t26.250000\n1398747855\t26.250000\n1398748456\t26.250000\n1398749056\t26.250000\n1398749657\t26.190000\n1398750257\t26.250000\n1398750858\t26.250000\n1398751458\t26.250000\n1398752059\t26.250000\n1398752674\t26.250000\n1398753275\t26.250000\n1398753875\t26.250000\n1398754476\t26.310000\n1398755076\t26.310000\n1398755677\t26.310000\n1398756277\t26.250000\n1398756878\t26.190000\n1398757478\t26.120000\n1398758079\t26.060000\n1398758679\t26.060000\n1398759280\t26.000000\n1398759880\t26.000000\n1398760481\t26.060000\n1398761081\t26.000000\n1398761682\t26.000000\n1398762283\t26.000000\n1398762883\t25.940000\n1398763484\t25.940000\n1398764084\t25.940000\n1398764685\t25.940000\n1398765285\t25.880000\n1398765886\t25.940000\n1398766486\t25.940000\n1398767087\t25.940000\n1398767687\t25.940000\n1398768288\t25.880000\n1398768888\t25.810000\n1398769489\t25.810000\n1398770089\t25.810000\n1398770690\t25.750000\n1398771290\t25.750000\n1398771891\t25.750000\n1398772491\t25.810000\n1398773092\t25.810000\n1398773693\t25.880000\n1398774308\t25.880000\n1398774909\t25.880000\n1398775509\t25.880000\n1398776110\t25.880000\n1398776710\t25.940000\n1398777311\t25.940000\n1398777911\t25.940000\n1398778512\t25.940000\n1398779112\t25.940000\n1398779713\t25.940000\n1398780313\t25.940000\n1398780914\t26.000000\n1398781514\t25.940000\n1398782115\t26.000000\n1398782715\t26.000000\n1398783316\t26.000000\n1398783916\t26.000000\n1398784517\t25.940000\n1398785117\t26.000000\n1398785718\t26.000000\n1398786318\t26.000000\n1398786919\t26.060000\n1398787520\t26.000000\n1398788120\t26.060000\n1398788721\t26.060000\n1398789321\t26.120000\n1398789922\t26.120000\n1398790522\t26.190000\n1398791123\t26.190000\n1398791723\t26.190000\n1398792324\t26.190000\n1398792924\t26.190000\n1398793525\t26.190000\n1398794125\t26.190000\n1398794726\t26.250000\n1398795341\t26.250000\n1398795942\t26.190000\n1398796542\t26.190000\n1398797143\t26.190000\n1398797743\t26.250000\n1398798344\t26.190000\n1398798944\t26.190000\n1398799545\t26.190000\n1398800145\t26.190000\n1398800746\t26.250000\n1398801346\t26.250000\n1398801947\t26.190000\n1398802547\t26.250000\n1398803148\t26.250000\n1398803748\t26.190000\n1398804349\t26.190000\n1398804949\t26.190000\n1398805550\t26.190000\n1398806151\t26.190000\n1398806751\t26.120000\n1398807352\t26.120000\n1398807952\t26.120000\n1398808553\t26.120000\n1398809153\t26.060000\n1398809754\t26.120000\n1398810354\t26.120000\n1398810955\t26.120000\n1398811555\t26.060000\n1398812156\t26.060000\n1398812756\t26.060000\n1398813357\t26.060000\n1398813972\t26.060000\n1398814573\t26.000000\n1398815173\t26.000000\n1398815774\t26.000000\n1398816374\t26.000000\n1398816975\t26.000000\n1398817575\t26.000000\n1398818176\t25.940000\n1398818776\t25.940000\n1398819377\t25.940000\n1398819977\t25.880000\n1398820578\t25.880000\n1398821178\t25.880000\n1398821779\t25.880000\n1398822379\t25.880000\n1398822980\t25.880000\n1398823580\t25.810000\n1398824181\t25.810000\n1398824781\t25.810000\n1398825382\t25.810000\n1398825983\t25.810000\n1398826583\t25.750000\n1398827184\t25.750000\n1398827799\t25.690000\n1398828400\t25.690000\n1398829000\t25.690000\n1398829601\t25.690000\n1398830201\t25.690000\n1398830802\t25.690000\n1398831402\t25.690000\n1398832003\t25.690000\n1398832603\t25.690000\n1398833204\t25.620000\n1398833804\t25.690000\n1398834405\t25.620000\n1398835005\t25.690000\n1398835606\t25.620000\n1398836206\t25.620000\n1398836807\t25.560000\n1398837407\t25.560000\n1398838008\t25.560000\n1398838608\t25.500000\n1398839209\t25.500000\n1398839809\t25.500000\n1398840410\t25.500000\n1398841010\t25.440000\n1398841611\t25.440000\n1398842211\t25.500000\n1398842812\t25.500000\n1398843413\t25.500000\n1398844013\t25.560000\n1398844614\t25.500000\n1398845229\t25.500000\n1398845830\t25.560000\n1398846430\t25.560000\n1398847031\t25.560000\n1398847631\t25.560000\n1398848232\t25.560000\n1398848832\t25.560000\n1398849433\t25.560000\n1398850033\t25.560000\n1398850634\t25.560000\n1398851234\t25.560000\n1398851835\t25.560000\n1398852435\t25.560000\n1398853036\t25.560000\n1398853636\t25.500000\n1398854237\t25.560000\n1398854837\t25.560000\n1398855438\t25.500000\n1398856039\t25.560000\n1398856639\t25.560000\n1398857240\t25.500000\n1398857840\t25.560000\n1398858441\t25.560000\n1398859041\t25.620000\n1398859642\t25.620000\n1398860242\t25.620000\n1398860843\t25.560000\n1398861443\t25.560000\n1398862044\t25.620000\n1398862659\t25.620000\n1398863260\t25.620000\n1398863860\t25.620000\n1398864461\t25.690000\n1398865061\t25.620000\n1398865662\t25.620000\n1398866262\t25.620000\n1398866863\t25.560000\n1398867463\t25.620000\n1398868064\t25.690000\n1398868664\t25.620000\n1398869265\t25.690000\n1398869865\t25.750000\n1398870466\t25.620000\n1398871067\t25.500000\n1398871667\t25.380000\n1398872268\t25.310000\n1398872868\t25.250000\n1398873469\t25.120000\n1398874069\t25.000000\n1398874670\t24.940000\n1398875270\t24.750000\n1398875871\t24.690000\n1398876471\t24.620000\n1398877072\t24.620000\n1398877672\t24.810000\n1398878273\t25.120000\n1398878873\t25.190000\n1398879474\t25.120000\n1398880089\t25.190000\n1398880690\t25.250000\n1398881290\t25.310000\n1398881891\t25.250000\n1398882491\t25.190000\n1398883092\t25.250000\n1398883692\t25.250000\n1398884293\t25.310000\n1398884893\t25.380000\n1398885494\t25.380000\n1398886094\t25.380000\n1398886695\t25.380000\n1398887295\t25.380000\n1398887896\t25.380000\n1398888496\t25.380000\n1398889097\t25.380000\n1398889697\t25.380000\n1398890298\t25.380000\n1398890898\t25.380000\n1398891499\t25.310000\n1398892099\t25.380000\n1398892700\t25.380000\n1398893300\t25.310000\n1398893901\t25.250000\n1398894501\t25.310000\n1398895102\t25.250000\n1398895702\t25.250000\n1398896318\t25.250000\n1398896918\t25.190000\n1398897519\t25.190000\n1398898119\t25.190000\n1398898720\t25.250000\n1398899320\t25.250000\n1398899921\t25.190000\n1398900522\t25.190000\n1398901122\t25.190000\n1398901723\t25.120000\n1398902323\t25.120000\n1398902924\t25.120000\n1398903524\t25.120000\n1398904125\t25.060000\n1398904725\t25.060000\n1398905326\t25.060000\n1398905926\t25.000000\n1398906527\t25.000000\n1398907127\t25.000000\n1398907728\t25.000000\n1398908328\t25.000000\n1398908929\t24.940000\n1398909529\t24.940000\n1398910130\t25.000000\n1398910730\t25.000000\n1398911331\t25.000000\n1398911947\t25.000000\n1398912547\t24.940000\n1398913148\t24.940000\n1398913748\t24.940000\n1398914349\t24.940000\n1398914949\t24.940000\n1398915550\t24.880000\n1398916150\t24.880000\n1398916751\t24.880000\n1398917351\t24.880000\n1398917952\t24.880000\n1398918552\t24.810000\n1398919153\t24.750000\n1398919753\t24.810000\n1398920354\t24.810000\n1398920954\t24.810000\n1398921555\t24.750000\n1398922155\t24.810000\n1398922756\t24.750000\n1398923356\t24.690000\n1398923957\t24.690000\n1398924557\t24.690000\n1398925158\t24.690000\n1398925759\t24.690000\n1398926359\t24.620000\n1398926975\t24.620000\n1398927575\t24.620000\n1398928176\t24.690000\n1398928776\t24.620000\n1398929377\t24.620000\n1398929977\t24.620000\n1398930578\t24.620000\n1398931178\t24.620000\n1398931779\t24.620000\n1398932379\t24.560000\n1398932980\t24.560000\n1398933580\t24.620000\n1398934181\t24.620000\n1398934781\t24.560000\n1398935382\t24.560000\n1398935983\t24.620000\n1398936583\t24.560000\n1398937184\t24.500000\n1398937784\t24.560000\n1398938385\t24.560000\n1398938985\t24.560000\n1398939586\t24.560000\n1398940186\t24.620000\n1398940787\t24.620000\n1398941387\t24.620000\n1398941988\t24.620000\n1398942588\t24.620000\n1398943189\t24.560000\n1398943789\t24.620000\n1398944390\t24.620000\n1398945005\t24.620000\n1398945606\t24.560000\n1398946206\t24.560000\n1398946807\t24.560000\n1398947408\t24.500000\n1398948008\t24.500000\n1398948609\t24.440000\n1398949209\t24.120000\n1398949810\t24.310000\n1398950410\t24.380000\n1398951011\t24.380000\n1398951611\t24.440000\n1398952212\t24.500000\n1398952812\t24.500000\n1398953413\t24.560000\n1398954013\t24.500000\n1398954614\t24.500000\n1398955214\t24.560000\n1398955815\t24.500000\n1398956415\t24.500000\n1398957016\t24.500000\n1398957616\t24.560000\n1398958217\t24.560000\n1398958818\t24.500000\n1398959418\t24.560000\n1398960019\t24.560000\n1398960619\t24.560000\n1398961220\t24.560000\n1398961820\t24.560000\n1398962421\t24.560000\n1398963036\t24.560000\n1398963637\t24.560000\n1398964237\t24.560000\n1398964838\t24.560000\n1398965438\t24.560000\n1398966039\t24.560000\n1398966639\t24.500000\n1398967240\t24.560000\n1398967841\t24.560000\n1398968441\t24.500000\n1398969042\t24.560000\n1398969642\t24.500000\n1398970243\t24.500000\n1398970843\t24.500000\n1398971444\t24.500000\n1398972044\t24.500000\n1398972645\t24.500000\n1398973245\t24.440000\n1398973846\t24.440000\n1398974446\t24.440000\n1398975047\t24.440000\n1398975648\t24.440000\n1398976248\t24.440000\n1398976849\t24.440000\n1398977449\t24.440000\n1398978050\t24.380000\n1398978650\t24.380000\n1398979266\t24.380000\n1398979866\t24.380000\n1398980467\t24.310000\n1398981068\t24.310000\n1398981668\t24.310000\n1398982269\t24.310000\n1398982869\t24.310000\n1398983470\t24.310000\n1398984070\t24.310000\n1398984671\t24.250000\n1398985271\t24.250000\n1398985872\t24.250000\n1398986472\t24.250000\n1398987073\t24.190000\n1398987673\t24.250000\n1398988274\t24.190000\n1398988875\t24.190000\n1398989475\t24.190000\n1398990076\t24.190000\n1398990676\t24.120000\n1398991277\t24.120000\n1398991877\t24.120000\n1398992478\t24.120000\n1398993078\t24.060000\n1398993679\t24.060000\n1398994279\t24.000000\n1398994880\t24.060000\n1398995496\t24.060000\n1398996096\t24.000000\n1398996697\t24.000000\n1398997297\t24.000000\n1398997898\t23.940000\n1398998498\t23.940000\n1398999099\t23.940000\n1398999699\t23.940000\n1399000300\t23.880000\n1399000900\t23.880000\n1399001501\t23.880000\n1399002101\t23.880000\n1399002702\t23.810000\n1399003302\t23.880000\n1399003903\t23.810000\n1399004504\t23.810000\n1399005104\t23.810000\n1399005705\t23.750000\n1399006305\t23.810000\n1399006906\t23.810000\n1399007506\t23.810000\n1399008107\t23.810000\n1399008707\t23.810000\n1399009308\t23.810000\n1399009908\t23.750000\n1399010509\t23.750000\n1399011109\t23.750000\n1399011710\t23.750000\n1399012326\t23.690000\n1399012926\t23.750000\n1399013527\t23.750000\n1399014127\t23.690000\n1399014728\t23.750000\n1399015328\t23.750000\n1399015929\t23.750000\n1399016529\t23.750000\n1399017130\t23.750000\n1399017730\t23.750000\n1399018331\t23.750000\n1399018931\t23.750000\n1399019532\t23.750000\n1399020133\t23.750000\n1399020733\t23.750000\n1399021334\t23.750000\n1399021934\t23.750000\n1399022535\t23.620000\n1399023135\t23.690000\n1399023736\t21.560000\n1399024336\t20.060000\n1399024937\t21.500000\n1399025537\t22.250000\n1399026138\t22.620000\n1399026753\t22.880000\n1399027354\t23.060000\n1399027955\t23.120000\n1399028555\t23.250000\n1399029156\t23.250000\n1399029756\t23.310000\n1399030357\t23.380000\n1399030957\t23.190000\n1399031558\t23.250000\n1399032158\t23.380000\n1399032759\t23.380000\n1399033360\t23.440000\n1399033960\t23.500000\n1399034561\t23.500000\n1399035161\t23.500000\n1399035762\t23.560000\n1399036362\t23.500000\n1399036963\t23.560000\n1399037563\t23.560000\n1399038164\t23.560000\n1399038764\t23.560000\n1399039365\t23.560000\n1399039965\t23.560000\n1399040566\t23.560000\n1399041166\t23.560000\n1399041767\t23.560000\n1399042367\t23.560000\n1399042968\t23.620000\n1399043569\t23.620000\n1399044169\t23.620000\n1399044770\t23.620000\n1399045385\t23.620000\n1399045986\t23.690000\n1399046586\t23.620000\n1399047187\t23.690000\n1399047787\t23.690000\n1399048388\t23.690000\n1399048988\t23.690000\n1399049589\t23.690000\n1399050190\t23.750000\n1399050790\t23.690000\n1399051391\t23.690000\n1399051991\t23.750000\n1399052592\t23.690000\n1399053192\t23.750000\n1399053793\t23.750000\n1399054393\t23.750000\n1399054994\t23.750000\n1399055595\t23.750000\n1399056195\t23.750000\n1399056796\t23.750000\n1399057396\t23.750000\n1399057997\t23.750000\n1399058597\t23.690000\n1399059198\t23.690000\n1399059798\t23.750000\n1399060399\t23.690000\n1399060999\t23.750000\n1399061600\t23.750000\n1399062215\t23.690000\n1399062816\t23.690000\n1399063417\t23.690000\n1399064017\t23.690000\n1399064618\t23.690000\n1399065218\t23.690000\n1399065819\t23.690000\n1399066419\t23.690000\n1399067020\t23.690000\n1399067620\t23.690000\n1399068221\t23.690000\n1399068821\t23.690000\n1399069422\t23.690000\n1399070022\t23.690000\n1399070623\t23.620000\n1399071223\t23.620000\n1399071824\t23.620000\n1399072425\t23.620000\n1399073025\t23.620000\n1399073626\t23.620000\n1399074226\t23.620000\n1399074827\t23.560000\n1399075427\t23.560000\n1399076028\t23.560000\n1399076628\t23.560000\n1399077229\t23.560000\n1399077844\t23.500000\n1399078445\t23.560000\n1399079046\t23.560000\n1399079646\t23.500000\n1399080247\t23.500000\n1399080847\t23.500000\n1399081448\t23.560000\n1399082048\t23.500000\n1399082649\t23.500000\n1399083249\t23.500000\n1399083850\t23.500000\n1399084450\t23.440000\n1399085051\t23.440000\n1399085651\t23.440000\n1399086252\t23.440000\n1399086853\t23.440000\n1399087453\t23.440000\n1399088054\t23.380000\n1399088654\t23.440000\n1399089255\t23.380000\n1399089855\t23.440000\n1399090456\t23.380000\n1399091056\t23.380000\n1399091657\t23.380000\n1399092257\t23.380000\n1399092858\t23.380000\n1399093458\t23.380000\n1399094059\t23.380000\n1399094659\t23.380000\n1399095260\t23.380000\n1399095860\t23.380000\n1399096461\t23.380000\n1399097062\t23.380000\n1399097662\t23.380000\n1399098263\t23.440000\n1399098878\t23.380000\n1399099479\t23.380000\n1399100079\t23.440000\n1399100680\t23.440000\n1399101280\t23.440000\n1399101881\t23.440000\n1399102481\t23.440000\n1399103082\t23.440000\n1399103682\t23.440000\n1399104283\t23.440000\n1399104884\t23.440000\n1399105484\t23.500000\n1399106085\t23.440000\n1399106685\t23.440000\n1399107286\t23.440000\n1399107886\t23.500000\n1399108487\t23.500000\n1399109087\t23.500000\n1399109688\t23.500000\n1399110288\t23.500000\n1399110889\t23.560000\n1399111489\t23.500000\n1399112090\t23.560000\n1399112690\t23.560000\n1399113291\t23.560000\n1399113891\t23.620000\n1399114492\t23.620000\n1399115093\t23.560000\n1399115693\t23.620000\n1399116294\t23.620000\n1399116894\t23.620000\n1399117495\t23.620000\n1399118095\t23.690000\n1399118696\t23.620000\n1399119296\t23.560000\n1399119912\t23.560000\n1399120512\t23.620000\n1399121113\t23.620000\n1399121714\t23.620000\n1399122314\t23.620000\n1399122915\t23.620000\n1399123515\t23.620000\n1399124116\t23.690000\n1399124716\t23.690000\n1399125317\t23.690000\n1399125917\t23.690000\n1399126518\t23.690000\n1399127118\t23.750000\n1399127719\t23.690000\n1399128320\t23.690000\n1399128920\t23.620000\n1399129521\t23.690000\n1399130121\t23.750000\n1399130722\t23.690000\n1399131322\t23.750000\n1399131923\t23.750000\n1399132523\t23.750000\n1399133124\t23.750000\n1399133724\t23.750000\n1399134325\t23.750000\n1399134925\t23.750000\n1399135526\t23.750000\n1399136126\t23.810000\n1399136727\t23.810000\n1399137328\t23.810000\n1399137928\t23.810000\n1399138529\t23.810000\n1399139129\t23.810000\n1399139745\t23.810000\n1399140345\t23.750000\n1399140946\t23.810000\n1399141546\t23.810000\n1399142147\t23.810000\n1399142747\t23.810000\n1399143348\t23.810000\n1399143948\t23.810000\n1399144549\t23.810000\n1399145150\t23.810000\n1399145750\t23.810000\n1399146351\t23.810000\n1399146951\t23.810000\n1399147552\t23.810000\n1399148152\t23.750000\n1399148753\t23.810000\n1399149353\t23.750000\n1399149954\t23.750000\n1399150554\t23.750000\n1399151155\t23.750000\n1399151755\t23.750000\n1399152356\t23.750000\n1399152957\t23.750000\n1399153557\t23.750000\n1399154158\t23.750000\n1399154758\t23.750000\n1399155359\t23.750000\n1399155959\t23.750000\n1399156560\t23.750000\n1399157160\t23.750000\n1399157761\t23.750000\n1399158376\t23.750000\n1399158977\t23.750000\n1399159577\t23.690000\n1399160178\t23.690000\n1399160779\t23.690000\n1399161379\t23.690000\n1399161980\t23.690000\n1399162580\t23.690000\n1399163181\t23.690000\n1399163781\t23.690000\n1399164382\t23.620000\n1399164982\t23.690000\n1399165583\t23.690000\n1399166183\t23.620000\n1399166784\t23.620000\n1399167385\t23.560000\n1399167985\t23.560000\n1399168585\t23.560000\n1399169186\t23.560000\n1399169787\t23.560000\n1399170387\t23.560000\n1399170988\t23.560000\n1399171588\t23.560000\n1399172189\t23.560000\n1399172789\t23.500000\n1399173390\t23.500000\n1399173990\t23.440000\n1399174591\t23.440000\n1399175191\t23.500000\n1399175792\t23.440000\n1399176393\t23.500000\n1399176993\t23.440000\n1399177609\t23.440000\n1399178209\t23.380000\n1399178810\t23.440000\n1399179410\t23.380000\n1399180011\t23.440000\n1399180611\t23.440000\n1399181212\t23.440000\n1399181812\t23.380000\n1399182413\t23.440000\n1399183014\t23.380000\n1399183614\t23.380000\n1399184215\t23.380000\n1399184815\t23.440000\n1399185416\t23.380000\n1399186016\t23.380000\n1399186617\t23.440000\n1399187217\t23.380000\n1399187818\t23.380000\n1399188418\t23.440000\n1399189019\t23.440000\n1399189620\t23.380000\n1399190220\t23.440000\n1399190821\t23.440000\n1399191421\t23.440000\n1399192022\t23.440000\n1399192622\t23.380000\n1399193223\t23.380000\n1399193823\t23.380000\n1399194424\t23.440000\n1399195039\t23.380000\n1399195640\t23.440000\n1399196240\t23.380000\n1399196841\t23.440000\n1399197442\t23.440000\n1399198042\t23.440000\n1399198643\t23.440000\n1399199243\t23.440000\n1399199844\t23.500000\n1399200444\t23.440000\n1399201045\t23.500000\n1399201645\t23.440000\n1399202246\t23.500000\n1399202846\t23.500000\n1399203447\t23.500000\n1399204047\t23.500000\n1399204648\t23.440000\n1399205248\t23.500000\n1399205849\t23.440000\n1399206449\t23.500000\n1399207050\t23.500000\n1399207651\t23.500000\n1399208251\t23.500000\n1399208852\t23.560000\n1399209452\t23.560000\n1399210053\t23.560000\n1399210653\t23.500000\n1399211254\t23.560000\n1399211854\t23.560000\n1399212455\t23.560000\n1399213056\t23.560000\n1399213671\t23.560000\n1399214272\t23.560000\n1399214872\t23.620000\n1399215473\t23.620000\n1399216073\t23.620000\n1399216674\t23.620000\n1399217274\t23.620000\n1399217875\t23.620000\n1399218475\t23.620000\n1399219076\t23.620000\n1399219676\t23.620000\n1399220277\t23.620000\n1399220877\t23.620000\n1399221478\t23.690000\n1399222079\t23.690000\n1399222679\t23.620000\n1399223280\t23.620000\n1399223880\t23.620000\n1399224481\t23.620000\n1399225081\t23.620000\n1399225682\t23.690000\n1399226282\t23.690000\n1399226883\t23.690000\n1399227483\t23.690000\n1399228084\t23.690000\n1399228684\t23.620000\n1399229285\t23.620000\n1399229901\t23.690000\n1399230501\t23.620000\n1399231102\t23.690000\n1399231702\t23.690000\n1399232303\t23.690000\n1399232903\t23.620000\n1399233504\t23.690000\n1399234104\t23.620000\n1399234705\t23.620000\n1399235305\t23.620000\n1399235906\t23.620000\n1399236506\t23.620000\n1399237107\t23.620000\n1399237708\t23.620000\n1399238308\t23.560000\n1399238909\t23.620000\n1399239509\t23.560000\n1399240110\t23.560000\n1399240710\t23.560000\n1399241311\t23.500000\n1399241911\t23.560000\n1399242512\t23.560000\n1399243112\t23.500000\n1399243713\t23.500000\n1399244313\t23.500000\n1399244914\t23.500000\n1399245529\t23.440000\n1399246130\t23.500000\n1399246731\t23.440000\n1399247331\t23.440000\n1399247932\t23.380000\n1399248532\t23.380000\n1399249133\t23.380000\n1399249733\t23.380000\n1399250334\t23.380000\n1399250934\t23.380000\n1399251535\t23.380000\n1399252135\t23.310000\n1399252736\t23.310000\n1399253337\t23.250000\n1399253937\t23.310000\n1399254538\t23.250000\n1399255138\t23.250000\n1399255739\t23.250000\n1399256339\t23.250000\n1399256940\t23.190000\n1399257540\t23.190000\n1399258141\t23.190000\n1399258741\t23.190000\n1399259342\t23.190000\n1399259942\t23.120000\n1399260543\t23.120000\n1399261144\t23.120000\n1399261744\t23.060000\n1399262345\t23.060000\n1399262945\t23.060000\n1399263546\t23.060000\n1399264161\t23.060000\n1399264762\t23.060000\n1399265362\t23.060000\n1399265963\t23.060000\n1399266563\t23.000000\n1399267164\t23.060000\n1399267764\t23.060000\n1399268365\t23.000000\n1399268965\t23.060000\n1399269566\t23.060000\n1399270166\t23.060000\n1399270767\t23.060000\n1399271367\t23.060000\n1399271968\t23.060000\n1399272569\t23.060000\n1399273169\t23.120000\n1399273770\t23.060000\n1399274370\t23.060000\n1399274971\t23.060000\n1399275571\t23.000000\n1399276172\t23.000000\n1399276772\t23.000000\n1399277373\t23.000000\n1399277973\t23.000000\n1399278574\t23.000000\n1399279174\t23.000000\n1399279775\t23.000000\n1399280375\t23.000000\n1399280844\t23.000000\n1399280909\t23.000000\n1399281525\t23.000000\n1399282090\t23.000000\n1399285221\t23.000000\n1399285426\t23.000000\n1399286042\t23.060000\n1399286642\t23.060000\n1399287025\t23.060000\n1399287625\t23.120000\n1399288226\t23.120000\n1399288826\t23.120000\n1399289427\t23.120000\n1399290027\t23.120000\n1399290628\t23.190000\n1399291228\t23.190000\n1399291829\t23.190000\n1399292429\t23.190000\n1399293030\t23.250000\n1399293645\t23.250000\n1399294246\t23.250000\n1399294847\t23.190000\n1399295447\t23.190000\n1399296048\t23.190000\n1399296648\t23.190000\n1399297249\t23.190000\n1399297849\t23.190000\n1399298450\t23.250000\n1399299050\t23.250000\n1399299651\t23.310000\n1399300251\t23.310000\n1399300852\t23.310000\n1399301452\t23.310000\n1399302053\t23.310000\n1399302653\t23.310000\n1399303254\t23.310000\n1399303855\t23.380000\n1399304455\t23.380000\n1399305056\t23.440000\n1399305673\t23.440000\n1399306274\t23.380000\n1399306874\t23.380000\n1399307475\t23.310000\n1399308076\t23.380000\n1399308676\t23.380000\n1399309277\t23.440000\n1399309877\t23.380000\n1399310478\t23.440000\n1399311078\t23.440000\n1399311679\t23.440000\n1399312279\t23.440000\n1399312880\t23.440000\n1399313480\t23.380000\n1399314081\t23.440000\n1399314681\t23.440000\n1399315282\t23.440000\n1399315883\t23.380000\n1399316483\t23.440000\n1399317084\t23.380000\n1399317684\t23.440000\n1399318285\t23.440000\n1399318885\t23.440000\n1399319486\t23.440000\n1399320086\t23.440000\n1399320687\t23.440000\n1399321287\t23.380000\n1399321888\t23.380000\n1399322488\t23.380000\n1399323089\t23.380000\n1399323689\t23.310000\n1399324290\t23.380000\n1399324890\t23.380000\n1399325491\t23.380000\n1399326091\t23.380000\n1399326692\t23.380000\n1399327292\t23.380000\n1399327893\t23.380000\n1399328494\t23.380000\n1399329094\t23.380000\n1399329695\t23.380000\n1399330295\t23.380000\n1399330896\t23.380000\n1399331496\t23.380000\n1399332097\t23.380000\n1399332697\t23.380000\n1399333298\t23.380000\n1399333898\t23.380000\n1399334499\t23.380000\n1399335099\t23.310000\n1399335700\t23.310000\n1399336300\t23.310000\n1399336901\t23.310000\n1399337501\t23.310000\n1399338102\t23.310000\n1399338718\t23.310000\n1399339318\t23.310000\n1399339919\t23.310000\n1399340519\t23.380000\n1399341120\t23.380000\n1399341720\t23.310000\n1399342321\t23.310000\n1399342921\t23.310000\n1399343522\t23.310000\n1399344122\t23.310000\n1399344723\t23.310000\n1399345323\t23.310000\n1399345924\t23.310000\n1399346524\t23.250000\n1399347125\t23.310000\n1399347725\t23.310000\n1399348326\t23.250000\n1399348926\t23.310000\n1399349527\t23.310000\n1399350127\t23.250000\n1399350728\t23.250000\n1399351328\t23.310000\n1399351929\t23.310000\n1399352530\t23.310000\n1399353130\t23.310000\n1399353731\t23.310000\n1399354331\t23.250000\n1399354932\t23.310000\n1399355532\t23.310000\n1399356133\t23.310000\n1399356748\t23.310000\n1399357349\t23.310000\n1399357949\t23.310000\n1399358550\t23.310000\n1399359150\t23.310000\n1399359751\t23.380000\n1399360351\t23.310000\n1399360952\t23.380000\n1399361552\t23.310000\n1399362153\t23.380000\n1399362753\t23.310000\n1399363354\t23.310000\n1399363955\t23.190000\n1399364555\t23.000000\n1399365156\t22.880000\n1399365756\t23.000000\n1399366357\t23.120000\n1399366957\t23.190000\n1399367558\t23.190000\n1399368158\t23.190000\n1399368759\t23.190000\n1399369359\t23.250000\n1399369960\t23.250000\n1399370560\t23.250000\n1399371161\t23.250000\n1399371762\t23.310000\n1399372362\t23.310000\n1399372963\t23.310000\n1399373563\t23.310000\n1399374164\t23.310000\n1399374764\t23.310000\n1399375380\t23.310000\n1399375980\t23.310000\n1399376581\t23.310000\n1399377181\t23.310000\n1399377782\t23.250000\n1399378383\t23.310000\n1399378983\t23.310000\n1399379122\t23.310000\n1399379752\t23.310000\n1399380353\t23.310000\n1399380953\t23.380000\n1399381554\t23.310000\n1399382155\t23.250000\n1399382755\t23.310000\n1399383356\t23.310000\n1399383956\t23.380000\n1399384557\t23.380000\n1399385157\t23.310000\n1399385758\t23.380000\n1399386358\t23.380000\n1399386959\t23.440000\n1399387559\t23.380000\n1399388160\t23.310000\n1399388760\t23.310000\n1399389361\t23.310000\n1399389962\t23.380000\n1399390562\t23.380000\n1399391163\t23.380000\n1399391763\t23.380000\n1399392364\t23.380000\n1399392964\t23.380000\n1399393565\t23.380000\n1399394165\t23.380000\n1399394766\t23.380000\n1399395366\t23.380000\n1399395967\t23.380000\n1399396567\t23.380000\n1399397168\t23.380000\n1399397783\t23.380000\n1399398384\t23.380000\n1399398985\t23.380000\n1399399585\t23.310000\n1399400186\t23.310000\n1399400786\t23.310000\n1399401387\t23.310000\n1399401987\t23.310000\n1399402588\t23.310000\n1399403188\t23.310000\n1399403789\t23.310000\n1399404389\t23.310000\n1399404990\t23.310000\n1399405590\t23.310000\n1399406191\t23.310000\n1399406791\t23.310000\n1399407392\t23.380000\n1399407992\t23.310000\n1399408593\t23.310000\n1399409194\t23.310000\n1399409794\t23.310000\n1399410395\t23.310000\n1399410995\t23.310000\n1399411596\t23.310000\n1399412196\t23.310000\n1399412797\t23.310000\n1399413397\t23.310000\n1399413998\t23.310000\n1399414598\t23.310000\n1399415199\t23.310000\n1399415799\t23.310000\n1399416400\t23.310000\n1399417001\t23.250000\n1399417601\t23.310000\n1399418217\t23.310000\n1399418817\t23.310000\n1399419418\t23.250000\n1399420018\t23.250000\n1399420619\t23.250000\n1399421219\t23.250000\n1399421820\t23.250000\n1399422420\t23.190000\n1399423021\t23.250000\n1399423621\t23.190000\n1399424222\t23.250000\n1399424823\t23.190000\n1399425423\t23.190000\n1399426024\t23.190000\n1399426624\t23.190000\n1399427225\t23.190000\n1399427825\t23.190000\n1399428426\t23.190000\n1399429026\t23.190000\n1399429627\t23.120000\n1399430227\t23.120000\n1399430828\t23.120000\n1399431428\t23.120000\n1399432029\t23.060000\n1399432629\t23.060000\n1399433230\t23.060000\n1399433830\t23.060000\n1399434431\t23.060000\n1399435032\t23.000000\n1399435632\t23.060000\n1399436233\t23.000000\n1399436833\t23.060000\n1399437434\t23.000000\n1399438034\t23.060000\n1399438635\t23.060000\n1399439235\t23.060000\n1399439836\t23.000000\n1399440451\t23.000000\n1399441052\t22.940000\n1399441652\t22.940000\n1399442253\t23.000000\n1399442854\t22.940000\n1399443454\t22.940000\n1399444055\t22.940000\n1399444655\t22.940000\n1399445256\t22.940000\n1399445856\t22.880000\n1399446457\t22.810000\n1399447057\t22.810000\n1399447658\t22.750000\n1399448258\t22.690000\n1399448859\t22.690000\n1399449460\t22.690000\n1399450060\t22.690000\n1399450661\t22.620000\n1399451261\t22.620000\n1399451862\t22.690000\n1399452462\t22.690000\n1399453063\t22.690000\n1399453663\t22.620000\n1399454264\t22.690000\n1399454864\t22.620000\n1399455465\t22.560000\n1399456065\t22.560000\n1399456666\t22.560000\n1399457267\t22.500000\n1399457867\t22.500000\n1399458468\t22.560000\n1399459068\t22.560000\n1399459669\t22.620000\n1399460269\t22.560000\n1399460870\t22.560000\n1399461470\t22.500000\n1399462071\t22.500000\n1399462687\t22.560000\n1399463287\t22.500000\n1399463888\t22.440000\n1399464488\t22.310000\n1399465089\t22.380000\n1399465689\t22.380000\n1399466290\t22.310000\n1399466890\t22.310000\n1399467491\t22.380000\n1399468091\t22.380000\n1399468692\t22.440000\n1399469293\t22.440000\n1399469893\t22.500000\n1399470494\t22.500000\n1399471094\t22.560000\n1399471695\t22.560000\n1399472295\t22.620000\n1399472896\t22.560000\n1399473496\t22.560000\n1399474097\t22.560000\n1399474697\t22.560000\n1399475298\t22.500000\n1399475898\t22.500000\n1399476499\t22.500000\n1399477099\t22.500000\n1399477700\t22.500000\n1399478301\t22.560000\n1399478901\t22.560000\n1399479502\t22.620000\n1399480102\t22.690000\n1399480703\t22.690000\n1399481303\t22.690000\n1399481904\t22.750000\n1399482504\t22.750000\n1399483105\t22.750000\n1399483720\t22.810000\n1399484321\t22.810000\n1399484921\t22.810000\n1399485522\t22.810000\n1399486122\t22.810000\n1399486723\t22.750000\n1399487323\t22.810000\n1399487924\t22.810000\n1399488525\t22.750000\n1399489125\t22.750000\n1399489726\t22.750000\n1399490326\t22.750000\n1399490927\t22.750000\n1399491527\t22.750000\n1399492128\t22.750000\n1399492728\t22.810000\n1399493329\t22.750000\n1399493929\t22.810000\n1399494530\t22.810000\n1399495130\t22.810000\n1399495731\t22.810000\n1399496331\t22.810000\n1399496932\t22.810000\n1399497532\t22.810000\n1399498133\t22.810000\n1399498734\t22.810000\n1399499334\t22.810000\n1399499935\t22.810000\n1399500535\t22.750000\n1399501151\t22.750000\n1399501751\t22.750000\n1399502352\t22.810000\n1399502952\t22.750000\n1399503553\t22.690000\n1399504153\t22.750000\n1399504754\t22.750000\n1399505354\t22.750000\n1399505955\t22.750000\n1399506556\t22.750000\n1399507156\t22.690000\n1399507757\t22.750000\n1399508357\t22.750000\n1399508958\t22.750000\n1399509558\t22.810000\n1399510159\t22.810000\n1399510759\t22.810000\n1399511360\t22.810000\n1399511960\t22.810000\n1399512561\t22.880000\n1399513161\t22.810000\n1399513762\t22.810000\n1399514362\t22.810000\n1399514963\t22.880000\n1399515563\t22.810000\n1399516164\t22.810000\n1399516765\t22.810000\n1399517365\t22.810000\n1399517966\t22.810000\n1399518566\t22.810000\n1399519167\t22.880000\n1399519782\t22.880000\n1399520383\t22.880000\n1399520983\t22.810000\n1399521584\t22.810000\n1399522185\t22.880000\n1399522785\t22.880000\n1399523386\t22.810000\n1399523986\t22.880000\n1399524587\t22.810000\n1399525187\t22.880000\n1399525788\t22.880000\n1399526388\t22.810000\n1399526989\t22.810000\n1399527589\t22.810000\n1399528190\t22.880000\n1399528790\t22.880000\n1399529391\t22.880000\n1399529991\t22.880000\n1399530592\t22.880000\n1399531192\t22.880000\n1399531793\t22.940000\n1399532394\t22.940000\n1399532994\t22.880000\n1399533595\t22.880000\n1399534195\t22.940000\n1399534796\t22.940000\n1399535396\t22.940000\n1399536012\t22.940000\n1399536612\t22.880000\n1399537213\t22.880000\n1399537813\t22.940000\n1399538414\t22.880000\n1399539014\t22.940000\n1399539615\t22.940000\n1399540216\t22.940000\n1399540816\t22.940000\n1399541417\t22.940000\n1399542017\t22.940000\n1399542618\t22.940000\n1399543218\t22.940000\n1399543819\t22.940000\n1399544419\t22.940000\n1399545020\t23.000000\n1399545620\t22.940000\n1399546221\t23.000000\n1399546821\t23.000000\n1399547422\t23.000000\n1399548022\t23.000000\n1399548623\t23.060000\n1399549224\t23.060000\n1399549824\t23.060000\n1399550425\t23.060000\n1399551025\t23.060000\n1399551626\t23.060000\n1399552226\t23.060000\n1399552827\t23.060000\n1399553427\t23.060000\n1399554028\t23.060000\n1399554643\t23.060000\n1399555244\t23.060000\n1399555845\t23.120000\n1399556445\t23.120000\n1399557046\t23.120000\n1399557646\t23.120000\n1399558247\t23.120000\n1399558847\t23.120000\n1399559448\t23.060000\n1399560048\t23.120000\n1399560649\t23.120000\n1399561249\t23.120000\n1399561850\t23.120000\n1399562450\t23.120000\n1399563051\t23.120000\n1399563651\t23.120000\n1399564252\t23.060000\n1399564852\t23.120000\n1399565453\t23.120000\n1399566053\t23.120000\n1399566654\t23.120000\n1399567254\t23.190000\n1399567855\t23.190000\n1399568456\t23.190000\n1399569056\t23.190000\n1399569657\t23.250000\n1399570257\t23.190000\n1399570858\t23.250000\n1399571458\t23.190000\n1399572059\t23.250000\n1399572659\t23.190000\n1399573275\t23.190000\n1399573875\t23.190000\n1399574476\t23.190000\n1399575076\t23.190000\n1399575677\t23.190000\n1399576277\t23.190000\n1399576878\t23.190000\n1399577478\t23.190000\n1399578079\t23.190000\n1399578680\t23.190000\n1399579280\t23.190000\n1399579881\t23.120000\n1399580481\t23.120000\n1399581082\t23.190000\n1399581682\t23.190000\n1399582283\t23.190000\n1399582883\t23.190000\n1399583484\t23.190000\n1399584084\t23.190000\n1399584685\t23.190000\n1399585285\t23.190000\n1399585886\t23.190000\n1399586486\t23.190000\n1399587087\t23.120000\n1399587688\t23.120000\n1399588288\t23.120000\n1399588889\t23.190000\n1399589489\t23.120000\n1399590090\t23.120000\n1399590690\t23.120000\n1399591306\t23.120000\n1399591906\t23.120000\n1399592507\t23.120000\n1399593107\t23.120000\n1399593708\t23.120000\n1399594308\t23.120000\n1399594909\t23.120000\n1399595509\t23.120000\n1399596110\t23.120000\n1399596710\t23.120000\n1399597311\t23.060000\n1399597912\t23.000000\n1399598512\t22.940000\n1399599113\t22.880000\n1399599713\t22.940000\n1399600314\t22.940000\n1399600914\t22.940000\n1399601515\t22.940000\n1399602115\t22.940000\n1399602716\t23.000000\n1399603316\t23.000000\n1399603917\t23.000000\n1399604517\t23.060000\n1399605118\t23.060000\n1399605719\t23.120000\n1399606319\t23.060000\n1399606920\t23.060000\n1399607535\t23.060000\n1399608136\t23.120000\n1399608736\t23.120000\n1399609337\t23.120000\n1399609937\t23.120000\n1399610538\t23.120000\n1399611138\t23.190000\n1399611739\t23.190000\n1399612339\t23.190000\n1399612940\t23.250000\n1399613541\t23.250000\n1399614141\t23.250000\n1399614742\t23.250000\n1399615342\t23.250000\n1399615943\t23.250000\n1399616543\t23.250000\n1399617144\t23.250000\n1399617744\t23.250000\n1399618345\t23.250000\n1399618945\t23.250000\n1399619546\t23.310000\n1399620146\t23.310000\n1399620747\t23.310000\n1399621347\t23.310000\n1399621948\t23.310000\n1399622548\t23.380000\n1399623149\t23.380000\n1399623749\t23.380000\n1399624350\t23.380000\n1399624950\t23.380000\n1399625551\t23.380000\n1399626167\t23.380000\n1399626767\t23.380000\n1399627368\t23.440000\n1399627968\t23.440000\n1399628569\t23.440000\n1399629169\t23.440000\n1399629770\t23.440000\n1399630370\t23.500000\n1399630971\t23.500000\n1399631571\t23.500000\n1399632172\t23.500000\n1399632773\t23.500000\n1399633373\t23.560000\n1399633974\t23.500000\n1399634574\t23.560000\n1399635174\t23.560000\n1399635775\t23.560000\n1399636376\t23.560000\n1399636976\t23.620000\n1399637577\t23.620000\n1399638177\t23.560000\n1399638778\t23.620000\n1399639378\t23.620000\n1399639979\t23.620000\n1399640579\t23.620000\n1399641180\t23.690000\n1399641780\t23.690000\n1399642381\t23.690000\n1399642982\t23.690000\n1399643582\t23.690000\n1399644183\t23.690000\n1399644798\t23.750000\n1399645399\t23.690000\n1399645999\t23.750000\n1399646600\t23.750000\n1399647200\t23.750000\n1399647801\t23.750000\n1399648401\t23.750000\n1399649002\t23.750000\n1399649602\t23.810000\n1399650203\t23.750000\n1399650803\t23.750000\n1399651404\t23.750000\n1399652004\t23.750000\n1399652605\t23.750000\n1399653206\t23.810000\n1399653806\t23.810000\n1399654407\t23.810000\n1399655007\t23.810000\n1399655608\t23.810000\n1399656208\t23.810000\n1399656809\t23.810000\n1399657409\t23.810000\n1399658010\t23.880000\n1399658610\t23.880000\n1399659211\t23.810000\n1399659811\t23.880000\n1399660412\t23.880000\n1399661028\t23.880000\n1399661628\t23.880000\n1399662229\t23.880000\n1399662829\t23.880000\n1399663430\t23.880000\n1399664030\t23.880000\n1399664631\t23.880000\n1399665231\t23.880000\n1399665832\t23.880000\n1399666432\t23.880000\n1399667033\t23.880000\n1399667633\t23.880000\n1399668234\t23.880000\n1399668834\t23.880000\n1399669435\t23.880000\n1399670035\t23.880000\n1399670636\t23.880000\n1399671237\t23.940000\n1399671837\t23.940000\n1399672438\t23.880000\n1399673038\t23.880000\n1399673639\t23.880000\n1399674239\t23.940000\n1399674840\t23.940000\n1399675440\t23.940000\n1399676041\t23.940000\n1399676641\t23.940000\n1399677242\t23.940000\n1399677842\t23.940000\n1399678443\t23.940000\n1399679058\t23.940000\n1399679659\t23.940000\n1399680259\t23.940000\n1399680860\t23.940000\n1399681460\t23.940000\n1399682061\t23.940000\n1399682661\t23.940000\n1399683262\t23.940000\n1399683862\t23.940000\n1399684463\t23.940000\n1399685063\t24.000000\n1399685664\t24.000000\n1399686264\t24.000000\n1399686865\t24.000000\n1399687466\t24.000000\n1399688066\t24.000000\n1399688667\t23.940000\n1399689267\t24.000000\n1399689868\t23.940000\n1399690468\t23.940000\n1399691069\t23.940000\n1399691669\t23.940000\n1399692270\t23.940000\n1399692870\t23.940000\n1399693471\t23.940000\n1399694071\t23.880000\n1399694672\t23.880000\n1399695272\t23.880000\n1399695888\t23.880000\n1399696489\t23.880000\n1399697089\t23.810000\n1399697690\t23.810000\n1399698290\t23.880000\n1399698891\t23.880000\n1399699491\t23.880000\n1399700092\t23.880000\n1399700692\t23.880000\n1399701293\t23.880000\n1399701893\t23.880000\n1399702494\t23.940000\n1399703094\t23.880000\n1399703695\t23.880000\n1399704295\t23.880000\n1399704896\t23.940000\n1399705496\t23.940000\n1399706097\t23.940000\n1399706698\t23.940000\n1399707298\t23.940000\n1399707899\t23.940000\n1399708499\t23.940000\n1399709100\t23.940000\n1399709700\t23.940000\n1399710301\t23.940000\n1399710901\t23.940000\n1399711502\t24.000000\n1399712102\t24.000000\n1399712703\t24.000000\n1399713304\t24.000000\n1399713904\t24.000000\n1399714505\t24.000000\n1399715120\t24.060000\n1399715721\t24.060000\n1399716321\t24.060000\n1399716922\t24.060000\n1399717522\t24.060000\n1399718123\t24.060000\n1399718723\t24.060000\n1399719324\t24.060000\n1399719924\t24.060000\n1399720525\t23.250000\n1399721126\t23.310000\n1399721726\t23.060000\n1399722327\t23.310000\n1399722927\t23.620000\n1399723528\t23.810000\n1399724128\t23.440000\n1399724729\t23.620000\n1399725329\t23.190000\n1399725930\t23.500000\n1399726530\t22.620000\n1399727131\t23.060000\n1399727731\t23.500000\n1399728332\t23.620000\n1399728932\t23.690000\n1399729533\t23.810000\n1399730134\t23.620000\n1399730734\t23.750000\n1399731335\t23.810000\n1399731935\t23.880000\n1399732536\t23.880000\n1399733151\t23.880000\n1399733752\t23.940000\n1399734352\t23.940000\n1399734953\t24.000000\n1399735553\t24.000000\n1399736154\t24.060000\n1399736754\t24.060000\n1399737355\t24.060000\n1399737956\t24.060000\n1399738556\t24.120000\n1399739157\t24.120000\n1399739757\t24.120000\n1399740358\t24.120000\n1399740958\t24.190000\n1399741559\t23.880000\n1399742159\t24.000000\n1399742760\t24.060000\n1399743360\t24.120000\n1399743961\t24.060000\n1399744561\t24.060000\n1399745162\t24.120000\n1399745762\t24.120000\n1399746363\t24.120000\n1399746964\t24.120000\n1399747564\t24.120000\n1399748165\t24.190000\n1399748765\t24.120000\n1399749381\t24.190000\n1399749981\t24.120000\n1399750582\t24.190000\n1399751182\t24.120000\n1399751783\t24.190000\n1399752383\t24.190000\n1399752984\t24.120000\n1399753584\t24.190000\n1399754185\t24.120000\n1399754786\t24.190000\n1399755386\t24.190000\n1399755987\t24.190000\n1399756587\t24.190000\n1399757188\t24.190000\n1399757788\t24.190000\n1399758389\t24.190000\n1399758989\t24.190000\n1399759590\t24.190000\n1399760190\t24.190000\n1399760791\t24.190000\n1399761391\t24.190000\n1399761992\t24.190000\n1399762592\t24.190000\n1399763193\t24.190000\n1399763793\t24.190000\n1399764409\t24.190000\n1399765009\t24.250000\n1399765610\t24.190000\n1399766210\t24.190000\n1399766811\t24.190000\n1399767412\t24.190000\n1399768012\t24.190000\n1399768613\t24.250000\n1399769213\t24.190000\n1399769814\t24.190000\n1399770414\t24.190000\n1399771015\t24.250000\n1399771615\t24.250000\n1399772216\t24.250000\n1399772816\t24.250000\n1399773417\t24.250000\n1399774017\t24.250000\n1399774618\t24.250000\n1399775218\t24.250000\n1399775819\t24.250000\n1399776420\t24.250000\n1399777020\t24.250000\n1399777621\t24.250000\n1399778221\t24.250000\n1399778822\t24.310000\n1399779422\t24.250000\n1399780023\t24.250000\n1399780623\t24.250000\n1399781224\t24.250000\n1399781824\t24.190000\n1399782425\t24.190000\n1399783025\t24.250000\n1399783626\t24.190000\n1399784226\t24.190000\n1399784827\t24.190000\n1399785427\t24.250000\n1399786043\t24.190000\n1399786643\t24.250000\n1399787244\t24.190000\n1399787844\t24.190000\n1399788445\t24.250000\n1399789046\t24.250000\n1399789646\t24.250000\n1399790247\t24.250000\n1399790847\t24.250000\n1399791448\t24.250000\n1399792048\t24.250000\n1399792649\t24.190000\n1399793249\t24.190000\n1399793850\t24.190000\n1399794450\t24.190000\n1399795051\t24.190000\n1399795652\t24.190000\n1399796252\t24.190000\n1399796853\t24.250000\n1399797453\t24.250000\n1399798054\t24.250000\n1399798654\t24.310000\n1399799255\t24.310000\n1399799855\t24.250000\n1399800456\t24.310000\n1399801056\t24.250000\n1399801657\t24.250000\n1399802257\t24.250000\n1399802858\t24.250000\n1399803458\t24.190000\n1399804059\t24.190000\n1399804659\t24.120000\n1399805275\t24.120000\n1399805875\t24.120000\n1399806476\t24.120000\n1399807076\t24.120000\n1399807677\t24.060000\n1399808278\t24.000000\n1399808878\t24.000000\n1399809478\t24.060000\n1399810079\t24.000000\n1399810680\t23.940000\n1399811280\t23.880000\n1399811881\t23.880000\n1399812481\t23.940000\n1399813082\t23.940000\n1399813682\t24.000000\n1399814283\t23.940000\n1399814883\t24.000000\n1399815484\t24.000000\n1399816084\t24.060000\n1399816685\t24.060000\n1399817285\t24.120000\n1399817886\t24.120000\n1399818487\t24.120000\n1399819087\t24.190000\n1399819688\t24.190000\n1399820303\t24.190000\n1399820904\t24.190000\n1399821504\t24.190000\n1399822105\t24.190000\n1399822705\t24.190000\n1399823306\t24.190000\n1399823906\t24.190000\n1399824507\t24.190000\n1399825107\t24.190000\n1399825708\t24.250000\n1399826308\t24.250000\n1399826909\t24.250000\n1399827510\t24.250000\n1399828110\t24.310000\n1399828711\t24.310000\n1399829311\t24.310000\n1399829912\t24.310000\n1399830512\t24.310000\n1399831113\t24.380000\n1399831713\t24.380000\n1399832314\t24.380000\n1399832914\t24.380000\n1399833515\t24.380000\n1399834116\t24.380000\n1399834716\t24.380000\n1399835317\t24.440000\n1399835917\t24.440000\n1399836518\t24.440000\n1399837118\t24.440000\n1399837719\t24.440000\n1399838319\t24.500000\n1399838920\t24.500000\n1399839535\t24.440000\n1399840136\t24.440000\n1399840737\t24.440000\n1399841337\t24.440000\n1399841938\t24.440000\n1399842538\t24.440000\n1399843139\t24.440000\n1399843739\t24.380000\n1399844340\t24.310000\n1399844940\t24.310000\n1399845541\t24.310000\n1399846141\t24.310000\n1399846742\t24.250000\n1399847342\t24.310000\n1399847943\t24.310000\n1399848543\t24.310000\n1399849144\t24.310000\n1399849744\t24.250000\n1399850345\t24.310000\n1399850945\t24.310000\n1399851546\t24.310000\n1399852147\t24.380000\n1399852747\t24.310000\n1399853348\t24.310000\n1399853948\t24.310000\n1399854549\t24.380000\n1399855149\t24.380000\n1399855750\t24.380000\n1399856350\t24.380000\n1399856951\t24.310000\n1399857551\t24.310000\n1399858167\t24.310000\n1399858767\t24.310000\n1399859368\t24.310000\n1399859969\t24.310000\n1399860569\t24.310000\n1399861170\t24.310000\n1399861770\t24.380000\n1399862371\t24.380000\n1399862971\t24.380000\n1399863572\t24.310000\n1399864172\t24.310000\n1399864773\t24.310000\n1399865373\t24.310000\n1399865974\t24.250000\n1399866574\t24.190000\n1399867175\t24.190000\n1399867775\t24.190000\n1399868376\t24.250000\n1399868976\t24.250000\n1399869577\t24.310000\n1399870177\t24.310000\n1399870778\t24.310000\n1399871379\t24.250000\n1399871979\t24.250000\n1399872580\t24.250000\n1399873180\t24.190000\n1399873781\t24.190000\n1399874381\t24.120000\n1399874982\t24.060000\n1399875597\t24.120000\n1399876198\t24.120000\n1399876798\t24.120000\n1399877399\t24.120000\n1399877999\t24.190000\n1399878600\t24.190000\n1399879200\t24.120000\n1399879801\t24.120000\n1399880401\t24.190000\n1399881002\t24.190000\n1399881602\t24.190000\n1399882203\t24.190000\n1399882804\t24.190000\n1399883404\t24.190000\n1399884005\t24.120000\n1399884605\t24.120000\n1399885206\t24.190000\n1399885806\t24.120000\n1399886407\t24.190000\n1399887007\t24.190000\n1399887608\t24.190000\n1399888208\t24.190000\n1399888809\t24.250000\n1399889410\t24.190000\n1399890010\t24.250000\n1399890611\t24.190000\n1399891211\t24.250000\n1399891812\t23.880000\n1399892412\t23.940000\n1399893013\t24.060000\n1399893613\t24.120000\n1399894229\t24.120000\n1399894829\t24.120000\n1399895430\t24.190000\n1399896031\t24.190000\n1399896631\t24.190000\n1399897232\t24.190000\n1399897832\t24.190000\n1399898433\t24.190000\n1399899033\t24.250000\n1399899634\t24.190000\n1399900234\t24.190000\n1399900835\t24.190000\n1399901435\t24.250000\n1399902036\t24.310000\n1399902637\t24.250000\n1399903237\t24.310000\n1399903838\t24.310000\n1399904438\t24.310000\n1399905039\t24.310000\n1399905639\t24.310000\n1399906240\t24.310000\n1399906840\t24.380000\n1399907441\t24.380000\n1399908041\t24.380000\n1399908642\t24.380000\n1399909242\t24.380000\n1399909843\t24.380000\n1399910444\t24.440000\n1399911044\t24.440000\n1399911645\t24.380000\n1399912245\t24.440000\n1399912861\t24.440000\n1399913461\t24.440000\n1399914062\t24.440000\n1399914662\t24.500000\n1399915263\t24.500000\n1399915864\t24.500000\n1399916464\t24.440000\n1399917065\t24.440000\n1399917665\t24.440000\n1399918266\t24.500000\n1399918866\t24.500000\n1399919467\t24.500000\n1399920067\t24.560000\n1399920668\t24.500000\n1399921268\t24.500000\n1399921869\t24.500000\n1399922469\t24.500000\n1399923070\t24.500000\n1399923671\t24.500000\n1399924271\t24.500000\n1399924871\t24.500000\n1399925472\t24.560000\n1399926073\t24.560000\n1399926673\t24.620000\n1399927274\t24.560000\n1399927874\t24.620000\n1399928475\t24.620000\n1399929075\t24.620000\n1399929676\t24.620000\n1399930276\t24.620000\n1399930877\t24.620000\n1399931492\t24.690000\n1399932093\t24.690000\n1399932693\t24.620000\n1399933294\t24.690000\n1399933894\t24.690000\n1399934495\t24.690000\n1399935095\t24.690000\n1399935696\t24.690000\n1399936297\t24.690000\n1399936897\t24.690000\n1399937498\t24.690000\n1399938098\t24.690000\n1399938699\t24.690000\n1399939299\t24.690000\n1399939900\t24.690000\n1399940500\t24.690000\n1399941101\t24.750000\n1399941701\t24.690000\n1399942302\t24.690000\n1399942903\t24.690000\n1399943503\t24.750000\n1399944104\t24.750000\n1399944704\t24.690000\n1399945305\t24.690000\n1399945905\t24.690000\n1399946506\t24.690000\n1399947106\t24.690000\n1399947707\t24.690000\n1399948307\t24.620000\n1399948908\t24.620000\n1399949509\t24.620000\n1399950124\t24.620000\n1399950725\t24.560000\n1399951325\t24.620000\n1399951926\t24.620000\n1399952526\t24.620000\n1399953127\t24.620000\n1399953727\t24.560000\n1399954328\t24.620000\n1399954928\t24.620000\n1399955529\t24.620000\n1399956129\t24.620000\n1399956730\t24.620000\n1399957330\t24.620000\n1399957931\t24.620000\n1399958531\t24.690000\n1399959132\t24.690000\n1399959732\t24.620000\n1399960333\t24.690000\n1399960933\t24.690000\n1399961534\t24.690000\n1399962134\t24.620000\n1399962735\t24.690000\n1399963336\t24.620000\n1399963936\t24.620000\n1399964537\t24.560000\n1399965137\t24.500000\n1399965738\t24.440000\n1399966353\t24.500000\n1399966954\t24.560000\n1399967554\t24.500000\n1399968155\t24.500000\n1399968755\t24.500000\n1399969356\t24.440000\n1399969956\t24.500000\n1399970557\t24.560000\n1399971157\t24.620000\n1399971758\t24.690000\n1399972358\t24.620000\n1399972959\t24.620000\n1399973559\t24.560000\n1399974160\t24.560000\n1399974761\t24.620000\n1399975361\t24.620000\n1399975962\t24.620000\n1399976562\t24.690000\n1399977163\t24.690000\n1399977763\t24.690000\n1399978364\t24.690000\n1399978964\t24.690000\n1399979565\t24.750000\n1399980165\t24.750000\n1399980766\t24.810000\n1399981367\t24.750000\n1399981967\t24.810000\n1399982568\t24.810000\n1399983168\t24.810000\n1399983769\t24.750000\n1399984369\t24.750000\n1399984985\t24.810000\n1399985585\t24.880000\n1399986186\t24.560000\n1399986786\t24.690000\n1399987387\t24.190000\n1399987987\t23.060000\n1399988588\t22.560000\n1399989188\t22.310000\n1399989789\t22.060000\n1399990389\t21.880000\n1399990990\t21.810000\n1399991590\t21.750000\n1399992191\t21.560000\n1399992791\t21.440000\n1399993392\t21.440000\n1399993992\t21.380000\n1399994593\t22.120000\n1399995193\t22.880000\n1399995794\t23.440000\n1399996395\t23.750000\n1399996995\t24.000000\n1399997596\t24.250000\n1399998196\t24.380000\n1399998797\t24.500000\n1399999397\t24.620000\n1399999998\t24.690000\n1400000598\t24.810000\n1400001199\t24.810000\n1400001799\t24.880000\n1400002400\t24.940000\n1400003015\t25.000000\n1400003616\t25.060000\n1400004217\t25.120000\n1400004817\t24.440000\n1400005418\t22.940000\n1400006018\t22.060000\n1400006619\t21.620000\n1400007219\t21.310000\n1400007820\t22.060000\n1400008420\t22.690000\n1400009021\t23.120000\n1400009621\t23.440000\n1400010222\t23.560000\n1400010822\t23.690000\n1400011423\t23.810000\n1400012024\t23.880000\n1400012624\t23.940000\n1400013225\t24.000000\n1400013825\t24.060000\n1400014426\t24.120000\n1400015026\t24.190000\n1400015627\t24.190000\n1400016227\t24.190000\n1400016828\t24.190000\n1400017428\t24.250000\n1400018029\t24.250000\n1400018629\t24.250000\n1400019230\t24.310000\n1400019831\t24.310000\n1400020431\t24.380000\n1400021032\t24.380000\n1400021632\t24.380000\n1400022248\t24.380000\n1400022848\t24.380000\n1400023449\t24.440000\n1400024049\t24.440000\n1400024650\t24.440000\n1400025250\t24.440000\n1400025851\t24.440000\n1400026452\t24.440000\n1400027052\t24.440000\n1400027653\t24.500000\n1400028253\t24.440000\n1400028854\t24.440000\n1400029454\t24.500000\n1400030055\t24.500000\n1400030655\t24.500000\n1400031256\t24.500000\n1400031856\t24.500000\n1400032457\t24.500000\n1400033058\t24.500000\n1400033658\t24.560000\n1400034258\t24.560000\n1400034859\t24.560000\n1400035460\t24.500000\n1400036060\t24.560000\n1400036661\t24.560000\n1400037261\t24.560000\n1400037862\t24.560000\n1400038462\t24.560000\n1400039063\t24.560000\n1400039663\t24.560000\n1400040279\t24.560000\n1400040879\t24.560000\n1400041480\t24.620000\n1400042080\t24.560000\n1400042681\t24.620000\n1400043281\t24.620000\n1400043882\t24.620000\n1400044483\t24.620000\n1400045083\t24.620000\n1400045684\t24.620000\n1400046284\t24.620000\n1400046885\t24.620000\n1400047485\t24.620000\n1400048086\t24.620000\n1400048686\t24.620000\n1400049287\t24.620000\n1400049887\t24.620000\n1400050488\t24.620000\n1400051088\t24.620000\n1400051689\t24.560000\n1400052289\t24.620000\n1400052890\t24.620000\n1400053490\t24.690000\n1400054091\t24.690000\n1400054691\t24.690000\n1400055292\t24.690000\n1400055893\t24.690000\n1400056493\t24.690000\n1400057094\t24.690000\n1400057694\t24.690000\n1400058310\t24.690000\n1400058910\t24.750000\n1400059511\t24.750000\n1400060111\t24.750000\n1400060712\t24.750000\n1400061312\t24.750000\n1400061913\t24.750000\n1400062513\t24.750000\n1400063114\t24.690000\n1400063714\t24.750000\n1400064315\t24.750000\n1400064916\t24.750000\n1400065516\t24.750000\n1400066117\t24.750000\n1400066717\t24.750000\n1400067318\t24.810000\n1400067918\t24.810000\n1400068519\t24.810000\n1400069119\t24.810000\n1400069720\t24.880000\n1400070320\t24.880000\n1400070921\t24.880000\n1400071521\t24.880000\n1400072122\t24.940000\n1400072723\t24.880000\n1400073323\t24.940000\n1400073924\t24.940000\n1400074524\t24.940000\n1400075125\t24.940000\n1400075725\t24.940000\n1400076341\t24.940000\n1400076941\t25.000000\n1400077542\t25.000000\n1400078142\t25.000000\n1400078743\t24.940000\n1400079343\t24.940000\n1400079944\t25.000000\n1400080545\t25.000000\n1400081145\t25.000000\n1400081746\t25.000000\n1400082346\t25.000000\n1400082947\t25.060000\n1400083547\t25.060000\n1400084148\t25.060000\n1400084748\t25.060000\n1400085349\t25.060000\n1400085949\t25.060000\n1400086550\t25.060000\n1400087151\t25.060000\n1400087751\t25.060000\n1400088352\t25.060000\n1400088952\t25.000000\n1400089553\t25.060000\n1400090153\t25.060000\n1400090754\t25.000000\n1400091354\t25.000000\n1400091955\t25.000000\n1400092570\t25.000000\n1400093171\t25.060000\n1400093772\t25.060000\n1400094372\t25.060000\n1400094973\t25.060000\n1400095573\t25.060000\n1400096174\t25.060000\n1400096774\t25.060000\n1400097375\t25.120000\n1400097975\t25.060000\n1400098576\t25.060000\n1400099176\t25.060000\n1400099777\t25.060000\n1400100377\t25.060000\n1400100978\t25.060000\n1400101578\t25.060000\n1400102179\t25.060000\n1400102779\t25.060000\n1400103380\t25.060000\n1400103980\t25.060000\n1400104581\t25.060000\n1400105182\t25.060000\n1400105782\t25.060000\n1400106383\t25.060000\n1400106983\t25.120000\n1400107584\t25.060000\n1400108184\t25.060000\n1400108785\t25.060000\n1400109385\t25.060000\n1400110001\t25.120000\n1400110601\t25.120000\n1400111202\t25.120000\n1400111803\t25.060000\n1400112403\t25.060000\n1400113004\t25.060000\n1400113604\t25.060000\n1400114205\t25.060000\n1400114805\t25.060000\n1400115406\t25.060000\n1400116006\t25.060000\n1400116607\t25.060000\n1400117207\t25.060000\n1400117808\t25.060000\n1400118408\t25.060000\n1400119009\t25.060000\n1400119609\t25.060000\n1400120210\t25.060000\n1400120811\t25.060000\n1400121411\t25.060000\n1400122012\t25.060000\n1400122612\t25.000000\n1400123213\t25.000000\n1400123813\t25.060000\n1400124414\t25.000000\n1400125014\t25.000000\n1400125615\t25.000000\n1400126215\t25.060000\n1400126816\t25.000000\n1400127417\t25.060000\n1400128017\t25.000000\n1400128633\t25.060000\n1400129233\t25.060000\n1400129834\t25.060000\n1400130434\t25.000000\n1400131035\t25.000000\n1400131635\t25.060000\n1400132236\t25.060000\n1400132836\t25.060000\n1400133437\t25.060000\n1400134038\t25.000000\n1400134638\t25.060000\n1400135239\t25.060000\n1400135839\t25.060000\n1400136440\t25.060000\n1400137040\t25.000000\n1400137641\t25.060000\n1400138241\t25.060000\n1400138842\t25.060000\n1400139442\t25.060000\n1400140043\t25.120000\n1400140643\t25.060000\n1400141244\t25.120000\n1400141844\t25.120000\n1400142445\t25.120000\n1400143045\t25.120000\n1400143646\t25.120000\n1400144246\t25.120000\n1400144862\t23.560000\n1400145462\t23.440000\n1400146063\t23.750000\n1400146664\t24.250000\n1400147264\t24.500000\n1400147865\t24.690000\n1400148465\t24.810000\n1400149066\t24.940000\n1400149666\t25.000000\n1400150267\t25.000000\n1400150867\t25.000000\n1400151468\t25.120000\n1400152068\t25.120000\n1400152669\t25.190000\n1400153269\t25.190000\n1400153870\t25.190000\n1400154471\t25.250000\n1400155071\t25.250000\n1400155672\t25.250000\n1400156272\t25.310000\n1400156873\t25.310000\n1400157473\t25.310000\n1400158074\t25.310000\n1400158674\t25.310000\n1400159275\t25.250000\n1400159875\t25.190000\n1400160476\t25.190000\n1400161076\t25.310000\n1400161677\t25.310000\n1400162277\t25.380000\n1400162878\t25.310000\n1400163478\t25.310000\n1400164094\t25.310000\n1400164695\t25.310000\n1400165295\t25.380000\n1400165896\t25.380000\n1400166496\t25.440000\n1400167097\t25.380000\n1400167697\t25.440000\n1400168298\t25.440000\n1400168898\t25.380000\n1400169499\t25.310000\n1400170099\t25.310000\n1400170700\t25.380000\n1400171301\t25.380000\n1400171901\t25.380000\n1400172502\t25.380000\n1400173102\t25.440000\n1400173703\t25.500000\n1400174303\t25.500000\n1400174904\t25.440000\n1400175504\t25.500000\n1400176105\t25.500000\n1400176705\t25.440000\n1400177306\t25.440000\n1400177906\t25.380000\n1400178507\t25.440000\n1400179107\t25.440000\n1400179708\t25.500000\n1400180308\t25.500000\n1400180909\t25.500000\n1400181510\t25.500000\n1400182110\t25.500000\n1400182711\t25.500000\n1400183311\t25.500000\n1400183911\t25.500000\n1400184512\t25.500000\n1400185128\t25.560000\n1400185728\t25.560000\n1400186329\t25.560000\n1400186929\t25.560000\n1400187530\t25.560000\n1400188130\t25.560000\n1400188731\t25.560000\n1400189331\t25.560000\n1400189932\t25.560000\n1400190532\t25.620000\n1400191133\t25.560000\n1400191733\t25.620000\n1400192334\t25.620000\n1400192934\t25.620000\n1400193535\t25.620000\n1400194135\t25.620000\n1400194736\t25.690000\n1400195337\t25.690000\n1400195937\t25.690000\n1400196538\t25.690000\n1400197138\t25.750000\n1400197739\t25.750000\n1400198339\t25.750000\n1400198940\t25.750000\n1400199540\t25.750000\n1400200141\t25.690000\n1400200741\t25.690000\n1400201342\t25.690000\n1400201943\t25.750000\n1400202543\t25.690000\n1400203144\t25.690000\n1400203744\t25.750000\n1400204360\t25.750000\n1400204960\t25.690000\n1400205561\t25.620000\n1400206161\t25.620000\n1400206762\t25.620000\n1400207362\t25.620000\n1400207963\t25.560000\n1400208563\t25.560000\n1400209164\t25.620000\n1400209765\t25.560000\n1400210365\t25.620000\n1400210966\t25.690000\n1400211566\t25.690000\n1400212167\t25.690000\n1400212767\t25.750000\n1400213368\t25.750000\n1400213968\t25.810000\n1400214569\t25.810000\n1400215169\t25.750000\n1400215770\t25.750000\n1400216370\t25.750000\n1400216971\t25.750000\n1400217571\t25.750000\n1400218172\t25.750000\n1400218772\t25.750000\n1400219373\t25.750000\n1400219973\t25.690000\n1400220574\t25.750000\n1400221175\t25.690000\n1400221775\t25.690000\n1400222376\t25.750000\n1400222991\t25.750000\n1400223592\t25.750000\n1400224192\t25.810000\n1400224793\t25.810000\n1400225393\t25.880000\n1400225994\t25.810000\n1400226594\t25.880000\n1400227195\t25.880000\n1400227795\t25.880000\n1400228396\t25.940000\n1400228996\t25.940000\n1400229597\t25.880000\n1400230198\t25.880000\n1400230798\t25.880000\n1400231399\t25.880000\n1400231999\t25.940000\n1400232600\t26.000000\n1400233200\t25.940000\n1400233801\t26.000000\n1400234401\t26.000000\n1400235002\t26.060000\n1400235602\t26.060000\n1400236203\t26.060000\n1400236803\t25.940000\n1400237404\t26.060000\n1400238005\t26.060000\n1400238605\t26.060000\n1400239206\t26.060000\n1400239806\t26.120000\n1400240422\t26.120000\n1400241022\t26.120000\n1400241623\t26.190000\n1400242223\t26.190000\n1400242824\t26.190000\n1400243424\t26.190000\n1400244025\t26.190000\n1400244625\t26.120000\n1400245226\t26.190000\n1400245827\t26.190000\n1400246427\t26.190000\n1400247028\t26.190000\n1400247628\t26.250000\n1400248229\t26.310000\n1400248829\t26.310000\n1400249430\t26.250000\n1400250030\t26.190000\n1400250631\t26.190000\n1400251231\t26.190000\n1400251832\t26.190000\n1400252433\t26.250000\n1400253033\t26.250000\n1400253634\t26.250000\n1400254234\t25.000000\n1400254835\t24.620000\n1400255435\t25.310000\n1400256051\t25.690000\n1400256651\t25.880000\n1400257252\t26.000000\n1400257852\t26.120000\n1400258453\t26.120000\n1400259054\t26.190000\n1400259654\t26.190000\n1400260255\t26.190000\n1400260855\t24.750000\n1400261456\t23.750000\n1400262056\t23.250000\n1400262657\t24.310000\n1400263257\t25.000000\n1400263858\t25.380000\n1400264458\t25.620000\n1400265059\t25.750000\n1400265659\t25.810000\n1400266260\t25.940000\n1400266861\t26.000000\n1400267461\t26.060000\n1400268062\t26.060000\n1400268662\t26.120000\n1400269263\t26.120000\n1400269863\t26.190000\n1400270464\t26.190000\n1400271064\t26.190000\n1400271665\t26.250000\n1400272265\t26.250000\n1400272866\t26.250000\n1400273466\t26.250000\n1400274067\t26.250000\n1400274668\t26.310000\n1400275283\t26.310000\n1400275884\t26.060000\n1400276484\t26.190000\n1400277085\t26.250000\n1400277685\t26.310000\n1400278286\t26.310000\n1400278886\t26.380000\n1400279487\t26.380000\n1400280087\t26.380000\n1400280688\t26.380000\n1400281288\t26.380000\n1400282978\t26.440000\n1400283578\t26.440000\n1400284179\t26.440000\n1400284779\t26.440000\n1400285380\t26.440000\n1400285980\t26.440000\n1400286581\t26.440000\n1400287181\t26.440000\n1400287782\t26.500000\n1400288382\t26.440000\n1400288983\t26.440000\n1400289583\t26.500000\n1400290184\t26.500000\n1400290784\t26.500000\n1400291400\t26.500000\n1400292001\t26.500000\n1400292601\t26.500000\n1400293202\t26.500000\n1400293802\t26.500000\n1400294403\t26.500000\n1400295003\t26.500000\n1400295604\t26.500000\n1400296204\t26.500000\n1400296805\t26.500000\n1400297405\t26.500000\n1400298006\t26.500000\n1400298606\t26.500000\n1400299207\t26.500000\n1400299807\t26.500000\n1400300408\t26.500000\n1400301008\t26.500000\n1400301609\t26.500000\n1400302209\t26.560000\n1400302810\t26.560000\n1400303410\t26.560000\n1400304011\t26.500000\n1400304611\t26.500000\n1400305212\t26.500000\n1400305812\t26.560000\n1400306413\t26.560000\n1400307013\t26.560000\n1400307614\t26.560000\n1400308215\t26.560000\n1400308815\t26.560000\n1400309416\t26.500000\n1400310016\t26.560000\n1400310617\t26.560000\n1400311217\t26.620000\n1400311833\t26.560000\n1400312433\t26.560000\n1400313034\t26.620000\n1400313634\t26.620000\n1400314235\t26.560000\n1400314835\t26.560000\n1400315436\t26.560000\n1400316037\t26.560000\n1400316637\t26.560000\n1400317238\t26.560000\n1400317838\t26.620000\n1400318439\t26.620000\n1400319039\t26.560000\n1400319640\t26.500000\n1400320240\t26.560000\n1400320841\t26.560000\n1400321441\t26.500000\n1400322042\t26.560000\n1400322642\t26.500000\n1400323243\t26.560000\n1400323843\t26.560000\n1400324444\t26.560000\n1400325044\t26.620000\n1400325645\t26.690000\n1400326246\t26.690000\n1400326846\t26.750000\n1400327447\t26.810000\n1400328047\t26.810000\n1400328648\t26.880000\n1400329248\t26.810000\n1400329849\t26.880000\n1400330449\t26.940000\n1400331050\t26.940000\n1400331650\t26.940000\n1400332251\t26.940000\n1400332851\t26.940000\n1400333467\t26.940000\n1400334067\t26.940000\n1400334668\t27.000000\n1400335268\t27.000000\n1400335869\t27.000000\n1400336470\t27.060000\n1400337070\t27.000000\n1400337670\t27.060000\n1400338271\t27.060000\n1400338872\t27.120000\n1400339472\t27.060000\n1400340073\t27.000000\n1400340673\t27.060000\n1400341274\t27.120000\n1400341874\t27.060000\n1400342475\t27.060000\n1400343075\t27.000000\n1400343676\t27.000000\n1400344276\t27.060000\n1400344877\t27.060000\n1400345477\t27.120000\n1400346078\t27.120000\n1400346678\t27.120000\n1400347279\t27.120000\n1400347879\t27.190000\n1400348480\t27.250000\n1400349080\t27.250000\n1400349681\t27.310000\n1400350281\t27.380000\n1400350882\t27.380000\n1400351482\t27.380000\n1400352083\t27.380000\n1400352684\t27.380000\n1400353284\t27.380000\n1400353885\t27.380000\n1400354500\t27.380000\n1400355101\t27.380000\n1400355701\t27.440000\n1400356302\t27.440000\n1400356902\t27.440000\n1400357503\t27.440000\n1400358103\t27.440000\n1400358704\t27.440000\n1400359304\t27.440000\n1400359905\t27.440000\n1400360505\t27.440000\n1400361106\t27.440000\n1400361706\t27.440000\n1400362307\t27.500000\n1400362907\t27.440000\n1400363508\t27.440000\n1400364108\t27.500000\n1400364709\t27.500000\n1400365310\t27.500000\n1400365910\t27.500000\n1400366511\t27.500000\n1400367111\t27.500000\n1400367712\t27.500000\n1400368312\t27.500000\n1400368913\t27.500000\n1400369513\t27.500000\n1400370114\t27.500000\n1400370714\t27.500000\n1400371315\t27.500000\n1400371930\t27.500000\n1400372531\t27.500000\n1400373131\t27.500000\n1400373732\t27.500000\n1400374332\t27.500000\n1400374933\t27.560000\n1400375533\t27.560000\n1400376134\t27.500000\n1400376735\t27.560000\n1400377335\t27.560000\n1400377936\t27.500000\n1400378536\t27.560000\n1400379137\t27.560000\n1400379737\t27.500000\n1400380338\t27.500000\n1400380938\t27.500000\n1400381539\t27.500000\n1400382139\t27.500000\n1400382740\t27.500000\n1400383340\t27.500000\n1400383941\t27.500000\n1400384541\t27.500000\n1400385142\t27.500000\n1400385742\t27.500000\n1400386343\t27.500000\n1400386943\t27.500000\n1400387544\t27.500000\n1400388144\t27.500000\n1400388745\t27.500000\n1400389345\t27.500000\n1400389946\t27.500000\n1400390562\t27.500000\n1400391162\t27.560000\n1400391763\t27.560000\n1400392363\t27.560000\n1400392964\t27.620000\n1400393564\t27.560000\n1400394165\t27.620000\n1400394765\t27.620000\n1400395366\t27.620000\n1400395966\t27.690000\n1400396567\t27.620000\n1400397167\t27.620000\n1400397768\t27.690000\n1400398368\t27.690000\n1400398969\t27.690000\n1400399569\t27.690000\n1400400170\t27.750000\n1400400770\t27.750000\n1400401371\t27.750000\n1400401971\t27.750000\n1400402572\t27.810000\n1400403172\t27.810000\n1400403773\t27.810000\n1400404374\t27.810000\n1400404974\t27.880000\n1400405575\t27.810000\n1400406175\t27.880000\n1400406776\t27.880000\n1400407376\t27.880000\n1400407992\t27.880000\n1400408592\t27.880000\n1400409193\t27.940000\n1400409793\t27.940000\n1400410394\t27.880000\n1400410994\t27.940000\n1400411595\t27.880000\n1400412195\t27.940000\n1400412796\t27.940000\n1400413396\t27.940000\n1400413997\t27.880000\n1400414597\t27.880000\n1400415198\t27.880000\n1400415799\t27.880000\n1400416399\t27.880000\n1400417000\t27.940000\n1400417600\t27.940000\n1400418201\t28.000000\n1400418801\t28.000000\n1400419402\t28.060000\n1400420002\t28.060000\n1400420603\t28.060000\n1400421203\t28.060000\n1400421804\t28.120000\n1400422404\t28.190000\n1400423005\t28.190000\n1400423605\t28.190000\n1400424206\t28.190000\n1400424806\t28.250000\n1400425422\t28.250000\n1400426022\t28.310000\n1400426623\t28.310000\n1400427223\t28.310000\n1400427824\t28.310000\n1400428424\t28.310000\n1400429025\t28.380000\n1400429625\t28.310000\n1400430226\t28.310000\n1400430826\t28.310000\n1400431427\t28.380000\n1400432027\t28.380000\n1400432628\t28.380000\n1400433229\t28.380000\n1400433829\t28.380000\n1400434430\t28.380000\n1400435030\t28.380000\n1400435631\t28.380000\n1400436231\t28.380000\n1400436832\t28.380000\n1400437432\t28.380000\n1400438033\t28.380000\n1400438633\t28.380000\n1400439234\t28.380000\n1400439834\t28.380000\n1400440450\t28.380000\n1400441050\t28.380000\n1400441651\t28.380000\n1400442251\t28.380000\n1400442852\t28.380000\n1400443452\t28.380000\n1400444053\t28.380000\n1400444653\t28.440000\n1400445254\t28.380000\n1400445854\t28.380000\n1400446455\t28.380000\n1400447055\t28.440000\n1400447656\t28.380000\n1400448257\t28.380000\n1400448857\t28.440000\n1400449458\t28.440000\n1400450058\t28.380000\n1400450659\t28.380000\n1400451259\t28.440000\n1400451860\t28.440000\n1400452460\t28.440000\n1400453061\t28.440000\n1400453661\t28.380000\n1400454262\t28.380000\n1400454862\t28.380000\n1400455463\t28.380000\n1400456063\t28.380000\n1400456664\t28.380000\n1400457264\t28.380000\n1400457865\t28.380000\n1400458480\t28.380000\n1400459081\t28.310000\n1400459681\t28.380000\n1400460282\t28.380000\n1400460882\t28.380000\n1400461483\t28.380000\n1400462084\t28.380000\n1400462684\t28.380000\n1400463285\t28.380000\n1400463885\t28.380000\n1400464486\t28.380000\n1400465086\t28.310000\n1400465687\t28.310000\n1400466287\t28.310000\n1400466888\t28.310000\n1400467488\t28.310000\n1400468089\t28.310000\n1400468689\t28.310000\n1400469290\t28.310000\n1400469890\t28.310000\n1400470491\t28.250000\n1400471091\t28.250000\n1400471692\t28.250000\n1400472293\t28.310000\n1400472893\t28.310000\n1400473494\t28.250000\n1400474094\t28.310000\n1400474695\t28.310000\n1400475295\t28.310000\n1400475896\t28.310000\n1400476511\t28.310000\n1400477112\t28.310000\n1400477712\t28.310000\n1400478313\t28.310000\n1400478913\t28.310000\n1400479514\t28.310000\n1400480114\t28.310000\n1400480715\t28.310000\n1400481315\t28.310000\n1400481916\t28.380000\n1400482516\t28.380000\n1400483117\t28.380000\n1400483717\t28.380000\n1400484318\t28.380000\n1400484918\t28.380000\n1400485519\t28.380000\n1400486119\t28.380000\n1400486720\t28.380000\n1400487320\t28.380000\n1400487921\t28.380000\n1400488521\t28.380000\n1400489122\t28.380000\n1400489722\t28.380000\n1400490323\t28.380000\n1400490923\t28.380000\n1400491524\t28.380000\n1400492140\t28.380000\n1400492740\t28.380000\n1400493341\t28.380000\n1400493941\t28.380000\n1400494542\t28.380000\n1400495142\t28.380000\n1400495743\t28.380000\n1400496343\t28.380000\n1400496944\t28.440000\n1400497544\t28.440000\n1400498145\t28.440000\n1400498745\t28.440000\n1400499346\t28.440000\n1400499946\t28.440000\n1400500547\t28.440000\n1400501147\t28.440000\n1400501748\t28.440000\n1400502348\t28.440000\n1400502949\t28.500000\n1400503549\t28.500000\n1400504150\t28.500000\n1400504750\t28.500000\n1400505351\t28.440000\n1400505951\t28.310000\n1400506552\t28.250000\n1400507152\t28.250000\n1400507753\t28.250000\n1400508353\t28.120000\n1400508954\t28.120000\n1400509570\t28.060000\n1400510170\t28.060000\n1400510771\t27.560000\n1400511371\t28.000000\n1400511972\t28.250000\n1400512572\t28.310000\n1400513173\t28.440000\n1400513773\t28.440000\n1400514374\t28.500000\n1400514974\t28.500000\n1400515575\t28.500000\n1400516175\t28.560000\n1400516776\t28.500000\n1400517376\t28.560000\n1400517977\t28.560000\n1400518577\t28.560000\n1400519178\t28.560000\n1400519778\t28.560000\n1400520379\t28.560000\n1400520979\t28.620000\n1400521580\t28.560000\n1400522181\t28.620000\n1400522781\t28.620000\n1400523382\t28.620000\n1400523982\t28.620000\n1400524583\t28.620000\n1400525183\t28.620000\n1400525784\t28.620000\n1400526384\t28.620000\n1400526985\t28.620000\n1400527600\t28.620000\n1400528201\t28.620000\n1400528801\t28.620000\n1400529402\t28.620000\n1400530002\t28.620000\n1400530603\t28.620000\n1400531203\t28.620000\n1400531804\t28.620000\n1400532404\t28.620000\n1400533005\t28.620000\n1400533605\t28.620000\n1400534206\t28.620000\n1400534807\t28.620000\n1400535407\t28.620000\n1400536008\t28.620000\n1400536608\t28.620000\n1400537209\t28.620000\n1400537809\t28.620000\n1400538410\t28.620000\n1400539010\t28.690000\n1400539611\t28.690000\n1400540211\t28.690000\n1400540812\t28.690000\n1400541412\t28.690000\n1400542013\t28.690000\n1400542613\t28.690000\n1400543214\t28.690000\n1400543829\t28.690000\n1400544430\t28.690000\n1400545030\t28.690000\n1400545631\t28.690000\n1400546232\t28.690000\n1400546832\t28.690000\n1400547432\t28.690000\n1400548033\t28.690000\n1400548634\t28.620000\n1400549234\t28.560000\n1400549835\t28.560000\n1400550435\t28.560000\n1400551036\t28.500000\n1400551636\t28.560000\n1400552237\t28.560000\n1400552837\t28.620000\n1400553438\t28.620000\n1400554038\t28.620000\n1400554639\t28.620000\n1400555239\t28.620000\n1400555840\t28.620000\n1400556440\t28.620000\n1400557041\t28.690000\n1400557641\t28.690000\n1400558242\t28.620000\n1400558842\t28.690000\n1400559443\t28.690000\n1400560043\t28.690000\n1400560659\t28.690000\n1400561259\t28.690000\n1400561860\t28.690000\n1400562461\t28.690000\n1400563061\t28.690000\n1400563662\t28.690000\n1400564262\t28.690000\n1400564863\t28.690000\n1400565463\t28.690000\n1400566064\t28.690000\n1400566664\t28.690000\n1400567265\t28.690000\n1400567865\t28.620000\n1400568466\t28.560000\n1400569066\t28.560000\n1400569667\t28.560000\n1400570267\t28.500000\n1400570868\t28.560000\n1400571468\t28.620000\n1400572069\t28.620000\n1400572669\t28.620000\n1400573270\t28.620000\n1400573870\t28.690000\n1400574471\t28.690000\n1400575071\t28.560000\n1400575672\t26.000000\n1400576272\t25.000000\n1400576873\t24.380000\n1400577473\t23.940000\n1400578089\t23.500000\n1400578689\t23.310000\n1400579290\t23.750000\n1400579890\t25.120000\n1400580491\t25.880000\n1400581091\t26.380000\n1400581692\t26.750000\n1400582292\t26.940000\n1400582893\t27.120000\n1400583494\t27.250000\n1400584094\t27.440000\n1400584695\t27.500000\n1400585295\t27.500000\n1400585896\t27.620000\n1400586496\t27.690000\n1400587097\t26.880000\n1400587697\t25.250000\n1400588298\t24.560000\n1400588898\t24.000000\n1400589499\t23.690000\n1400590099\t23.310000\n1400590700\t23.120000\n1400591300\t22.940000\n1400591901\t23.500000\n1400592501\t24.620000\n1400593102\t25.310000\n1400593702\t25.750000\n1400594303\t26.060000\n1400594903\t26.310000\n1400595504\t26.500000\n1400596119\t26.690000\n1400596720\t26.810000\n1400597320\t26.940000\n1400597921\t27.000000\n1400598521\t27.060000\n1400599122\t27.190000\n1400599722\t27.190000\n1400600323\t27.190000\n1400600923\t27.250000\n1400601524\t27.310000\n1400602125\t27.380000\n1400602725\t27.380000\n1400603326\t27.440000\n1400603926\t27.560000\n1400604527\t27.620000\n1400605127\t27.690000\n1400605728\t27.690000\n1400606328\t27.750000\n1400606929\t27.750000\n1400607529\t27.810000\n1400608130\t27.810000\n1400608730\t27.880000\n1400609331\t27.810000\n1400609931\t27.880000\n1400610532\t27.880000\n1400611132\t27.880000\n1400611733\t27.940000\n1400612333\t27.940000\n1400612949\t27.940000\n1400613549\t28.000000\n1400614150\t28.000000\n1400614750\t28.000000\n1400615351\t28.000000\n1400615951\t28.060000\n1400616552\t28.060000\n1400617152\t28.060000\n1400617753\t28.060000\n1400618353\t28.060000\n1400618954\t28.120000\n1400619554\t28.120000\n1400620155\t28.120000\n1400620755\t28.120000\n1400621356\t28.120000\n1400621957\t28.190000\n1400622557\t28.190000\n1400623158\t28.190000\n1400623758\t28.190000\n1400624359\t28.190000\n1400624959\t28.190000\n1400625560\t28.250000\n1400626160\t28.250000\n1400626761\t28.250000\n1400627361\t28.250000\n1400627962\t28.250000\n1400628562\t28.250000\n1400629178\t28.250000\n1400629778\t28.250000\n1400630379\t28.310000\n1400630979\t28.310000\n1400631580\t28.310000\n1400632180\t28.310000\n1400632781\t28.310000\n1400633381\t28.310000\n1400633982\t28.380000\n1400634582\t28.380000\n1400635183\t28.380000\n1400635783\t28.380000\n1400636384\t28.380000\n1400636984\t28.380000\n1400637585\t28.380000\n1400638185\t28.380000\n1400638786\t28.380000\n1400639386\t28.380000\n1400639987\t28.380000\n1400640587\t28.380000\n1400641188\t28.380000\n1400641788\t28.380000\n1400642389\t28.440000\n1400642989\t28.440000\n1400643590\t28.440000\n1400644191\t28.440000\n1400644791\t28.440000\n1400645407\t28.440000\n1400646007\t28.440000\n1400646608\t28.440000\n1400647208\t28.440000\n1400647809\t28.440000\n1400648409\t28.440000\n1400649010\t28.380000\n1400649610\t28.380000\n1400650211\t28.440000\n1400650811\t28.440000\n1400651412\t28.440000\n1400652012\t28.440000\n1400652613\t28.440000\n1400653213\t28.500000\n1400653814\t28.500000\n1400654414\t28.500000\n1400655015\t28.500000\n1400655615\t28.560000\n1400656216\t28.560000\n1400656816\t28.560000\n1400657417\t28.560000\n1400658018\t28.560000\n1400658618\t28.560000\n1400659219\t28.560000\n1400659819\t28.500000\n1400660420\t28.560000\n1400661020\t28.560000\n1400661621\t28.620000\n1400662221\t28.560000\n1400662837\t28.620000\n1400663437\t28.560000\n1400664038\t28.620000\n1400664638\t28.560000\n1400665239\t28.690000\n1400665839\t28.690000\n1400666440\t28.620000\n1400667040\t28.620000\n1400667641\t28.690000\n1400668242\t28.690000\n1400668842\t28.620000\n1400669443\t28.690000\n1400670043\t28.690000\n1400670643\t28.690000\n1400671244\t28.690000\n1400671845\t28.690000\n1400672445\t28.750000\n1400673046\t28.750000\n1400673646\t28.810000\n1400674247\t28.810000\n1400674847\t28.750000\n1400675448\t28.810000\n1400676048\t28.810000\n1400676649\t28.810000\n1400677249\t28.750000\n1400677850\t28.750000\n1400678450\t28.750000\n1400679051\t28.750000\n1400679651\t28.810000\n1400680252\t28.750000\n1400680852\t28.750000\n1400681453\t28.810000\n1400682053\t28.810000\n1400682669\t28.810000\n1400683269\t28.750000\n1400683870\t28.750000\n1400684470\t28.750000\n1400685071\t28.750000\n1400685672\t28.690000\n1400686272\t28.750000\n1400686873\t28.810000\n1400687473\t28.810000\n1400688074\t28.880000\n1400688674\t28.940000\n1400689275\t29.000000\n1400689875\t28.940000\n1400690476\t29.000000\n1400691076\t28.940000\n1400691677\t28.880000\n1400692277\t28.880000\n1400692878\t28.940000\n1400693478\t29.000000\n1400694079\t29.120000\n1400694679\t29.120000\n1400695280\t29.120000\n1400695881\t29.190000\n1400696481\t29.190000\n1400697082\t29.190000\n1400697682\t29.190000\n1400698283\t29.250000\n1400698883\t29.250000\n1400699484\t29.250000\n1400700084\t29.250000\n1400700685\t29.250000\n1400701285\t29.310000\n1400701886\t29.310000\n1400702486\t29.310000\n1400703087\t29.310000\n1400703687\t29.310000\n1400704303\t29.310000\n1400704903\t29.310000\n1400705504\t29.310000\n1400706104\t29.310000\n1400706705\t29.380000\n1400707306\t29.380000\n1400707906\t29.310000\n1400708507\t29.380000\n1400709107\t29.380000\n1400709708\t29.380000\n1400710308\t29.380000\n1400710909\t29.380000\n1400711509\t29.380000\n1400712110\t29.380000\n1400712710\t29.380000\n1400713311\t29.440000\n1400713911\t29.380000\n1400714512\t29.440000\n1400715112\t29.380000\n1400715713\t29.440000\n1400716313\t29.440000\n1400716914\t29.440000\n1400717514\t29.440000\n1400718115\t29.440000\n1400718715\t29.440000\n1400719316\t29.500000\n1400719917\t29.440000\n1400720532\t29.440000\n1400721133\t29.500000\n1400721733\t29.500000\n1400722334\t29.500000\n1400722934\t29.500000\n1400723535\t29.560000\n1400724135\t29.500000\n1400724736\t29.500000\n1400725336\t29.560000\n1400725937\t29.560000\n1400726537\t29.560000\n1400727138\t29.500000\n1400727738\t29.560000\n1400728339\t29.560000\n1400728939\t29.560000\n1400729540\t29.620000\n1400730141\t29.620000\n1400730741\t29.560000\n1400731342\t29.560000\n1400731942\t29.620000\n1400732543\t29.620000\n1400733143\t29.620000\n1400733744\t29.620000\n1400734344\t29.620000\n1400734945\t29.560000\n1400735545\t29.560000\n1400736146\t29.560000\n1400736746\t29.560000\n1400737347\t29.560000\n1400737947\t29.500000\n1400738548\t29.500000\n1400739148\t29.440000\n1400739764\t29.500000\n1400740364\t29.620000\n1400740965\t29.620000\n1400741565\t29.500000\n1400742166\t29.500000\n1400742767\t29.440000\n1400743367\t29.440000\n1400743968\t29.440000\n1400744568\t29.440000\n1400745169\t29.560000\n1400745769\t29.620000\n1400746370\t29.620000\n1400746970\t29.620000\n1400747571\t29.620000\n1400748171\t29.690000\n1400748772\t29.690000\n1400749372\t29.690000\n1400749973\t29.750000\n1400750573\t29.690000\n1400751174\t29.690000\n1400751774\t29.750000\n1400752375\t29.750000\n1400752975\t29.810000\n1400753576\t29.810000\n1400754177\t29.880000\n1400754777\t29.880000\n1400755378\t29.810000\n1400755978\t29.750000\n1400756579\t29.750000\n1400757179\t29.750000\n1400757795\t29.750000\n1400758395\t29.750000\n1400758996\t29.750000\n1400759596\t29.690000\n1400760197\t29.750000\n1400760797\t29.690000\n1400761398\t29.750000\n1400761998\t29.810000\n1400762599\t29.810000\n1400763199\t29.810000\n1400763800\t29.810000\n1400764400\t29.940000\n1400765001\t30.000000\n1400765601\t30.120000\n1400766202\t30.120000\n1400766802\t30.120000\n1400767403\t30.190000\n1400768003\t30.250000\n1400768604\t30.250000\n1400769204\t30.190000\n1400769805\t30.190000\n1400770405\t30.190000\n1400771006\t30.310000\n1400771606\t30.310000\n1400772207\t30.380000\n1400772807\t30.440000\n1400773408\t30.440000\n1400774008\t30.500000\n1400774609\t30.500000\n1400775225\t30.500000\n1400775825\t30.500000\n1400776426\t30.500000\n1400777026\t30.560000\n1400777627\t30.560000\n1400778227\t30.620000\n1400778828\t30.620000\n1400779428\t30.620000\n1400780029\t30.620000\n1400780629\t30.620000\n1400781230\t30.620000\n1400781830\t30.690000\n1400782431\t30.690000\n1400783031\t30.690000\n1400783632\t30.750000\n1400784233\t30.690000\n1400784833\t30.750000\n1400785434\t30.750000\n1400786034\t30.810000\n1400786635\t30.810000\n1400787235\t30.810000\n1400787836\t30.810000\n1400788436\t30.810000\n1400789037\t30.810000\n1400789637\t30.810000\n1400790238\t30.810000\n1400790838\t30.880000\n1400791439\t30.880000\n1400792039\t30.940000\n1400792640\t30.940000\n1400793240\t30.940000\n1400793856\t30.940000\n1400794457\t30.940000\n1400795057\t30.880000\n1400795658\t30.940000\n1400796258\t30.940000\n1400796859\t30.940000\n1400797459\t31.000000\n1400798060\t31.000000\n1400798660\t31.000000\n1400799261\t31.000000\n1400799861\t30.940000\n1400800462\t30.940000\n1400801062\t30.940000\n1400801663\t31.000000\n1400802263\t31.000000\n1400802864\t30.940000\n1400803464\t31.000000\n1400804065\t31.000000\n1400804666\t31.000000\n1400805266\t31.000000\n1400805867\t31.000000\n1400806467\t31.000000\n1400807068\t31.000000\n1400807668\t31.000000\n1400808269\t31.000000\n1400808869\t31.000000\n1400809470\t31.000000\n1400810070\t31.060000\n1400810686\t31.060000\n1400811286\t31.060000\n1400811887\t31.000000\n1400812487\t31.000000\n1400813088\t31.000000\n1400813688\t31.000000\n1400814289\t31.000000\n1400814889\t31.000000\n1400815490\t31.060000\n1400816090\t31.000000\n1400816691\t31.060000\n1400817291\t31.060000\n1400817892\t31.000000\n1400818492\t31.060000\n1400819093\t31.060000\n1400819693\t31.060000\n1400820294\t31.060000\n1400820894\t31.060000\n1400821495\t31.060000\n1400822095\t31.060000\n1400822696\t31.120000\n1400823296\t31.060000\n1400823897\t31.120000\n1400824497\t31.120000\n1400825098\t31.120000\n1400825698\t31.120000\n1400826299\t31.120000\n1400826915\t31.120000\n1400827515\t31.120000\n1400828116\t31.190000\n1400828716\t31.190000\n1400829317\t31.190000\n1400829917\t31.190000\n1400830518\t31.190000\n1400831118\t31.190000\n1400831719\t31.250000\n1400832319\t31.190000\n1400832920\t31.250000\n1400833520\t31.250000\n1400834121\t31.250000\n1400834721\t31.250000\n1400835322\t31.250000\n1400835922\t31.310000\n1400836523\t31.310000\n1400837123\t31.380000\n1400837724\t31.440000\n1400838324\t31.380000\n1400838925\t31.380000\n1400839525\t31.380000\n1400840126\t31.380000\n1400840726\t31.440000\n1400841327\t31.440000\n1400841927\t31.440000\n1400842528\t31.500000\n1400843128\t31.380000\n1400843729\t30.190000\n1400844344\t29.750000\n1400844945\t29.560000\n1400845545\t29.500000\n1400846146\t29.310000\n1400846746\t29.250000\n1400847347\t29.190000\n1400847947\t29.190000\n1400848548\t29.190000\n1400849148\t29.190000\n1400849749\t29.060000\n1400850349\t29.120000\n1400850950\t28.940000\n1400851551\t29.690000\n1400852151\t30.120000\n1400852752\t30.440000\n1400853352\t30.620000\n1400853953\t30.750000\n1400854553\t30.880000\n1400855154\t31.000000\n1400855754\t31.060000\n1400856355\t31.120000\n1400856955\t31.190000\n1400857556\t31.190000\n1400858156\t31.190000\n1400858757\t31.310000\n1400859357\t31.310000\n1400859958\t31.310000\n1400860558\t31.380000\n1400861159\t31.380000\n1400861759\t31.380000\n1400862375\t31.440000\n1400862975\t31.440000\n1400863576\t31.440000\n1400864176\t31.500000\n1400864777\t31.500000\n1400865377\t31.560000\n1400865978\t31.560000\n1400866578\t31.560000\n1400867179\t31.560000\n1400867779\t31.620000\n1400868380\t31.620000\n1400868980\t31.620000\n1400869581\t31.620000\n1400870181\t31.690000\n1400870782\t31.690000\n1400871383\t31.690000\n1400871983\t31.690000\n1400872584\t31.690000\n1400873184\t31.750000\n1400873785\t31.750000\n1400874385\t31.750000\n1400874986\t31.750000\n1400875586\t31.750000\n1400876187\t31.750000\n1400876787\t31.750000\n1400877388\t31.810000\n1400877988\t31.810000\n1400878589\t31.810000\n1400879205\t31.810000\n1400879805\t31.810000\n1400880406\t31.810000\n1400881006\t31.810000\n1400881607\t31.810000\n1400882207\t31.810000\n1400882808\t31.810000\n1400883408\t31.810000\n1400884009\t31.810000\n1400884609\t31.880000\n1400885210\t31.880000\n1400885810\t31.880000\n1400886411\t31.880000\n1400887011\t31.880000\n1400887612\t31.880000\n1400888212\t31.880000\n1400888813\t31.880000\n1400889413\t31.880000\n1400890014\t31.880000\n1400890614\t31.880000\n1400891215\t31.880000\n1400891815\t31.880000\n1400892416\t31.880000\n1400893016\t31.880000\n1400893632\t31.880000\n1400894232\t31.880000\n1400894833\t31.880000\n1400895433\t31.880000\n1400896034\t31.880000\n1400896634\t31.880000\n1400897235\t31.880000\n1400897836\t31.880000\n1400898436\t31.880000\n1400899037\t31.880000\n1400899637\t31.880000\n1400900238\t31.880000\n1400900838\t31.880000\n1400901439\t31.880000\n1400902039\t31.810000\n1400902640\t31.880000\n1400903240\t31.810000\n1400903841\t31.880000\n1400904441\t31.880000\n1400905042\t31.880000\n1400905642\t31.880000\n1400906243\t31.880000\n1400906843\t31.880000\n1400907444\t31.940000\n1400908044\t31.940000\n1400908645\t31.940000\n1400909245\t31.940000\n1400909846\t31.940000\n1400910446\t31.940000\n1400911047\t31.940000\n1400911648\t31.940000\n1400912263\t31.940000\n1400912864\t32.000000\n1400913464\t32.000000\n1400914065\t32.000000\n1400914665\t32.000000\n1400915266\t32.000000\n1400915866\t32.000000\n1400916467\t32.000000\n1400917067\t32.060000\n1400917668\t32.060000\n1400918268\t32.060000\n1400918869\t32.000000\n1400919469\t32.000000\n1400920070\t32.000000\n1400920670\t32.060000\n1400921271\t32.060000\n1400921871\t32.060000\n1400922472\t32.060000\n1400923073\t32.060000\n1400923673\t32.060000\n1400924274\t32.060000\n1400924874\t32.060000\n1400925475\t32.060000\n1400926075\t32.060000\n1400926676\t32.120000\n1400927276\t32.120000\n1400927877\t32.120000\n1400928477\t32.190000\n1400929078\t32.190000\n1400929693\t32.190000\n1400930294\t32.250000\n1400930894\t32.250000\n1400931495\t32.250000\n1400932095\t32.250000\n1400932696\t32.310000\n1400933296\t32.250000\n1400933897\t32.310000\n1400934497\t32.310000\n1400935098\t31.190000\n1400935699\t30.380000\n1400936299\t30.060000\n1400936900\t29.810000\n1400937500\t29.690000\n1400938101\t29.560000\n1400938701\t29.310000\n1400939302\t28.810000\n1400939902\t28.560000\n1400940503\t28.440000\n1400941103\t28.310000\n1400941704\t28.190000\n1400942304\t28.120000\n1400942905\t27.940000\n1400943505\t27.880000\n1400944106\t27.880000\n1400944706\t27.880000\n1400945307\t27.750000\n1400945922\t27.750000\n1400946523\t27.620000\n1400947123\t27.560000\n1400947724\t27.620000\n1400948324\t27.880000\n1400948925\t28.880000\n1400949525\t29.380000\n1400950126\t29.750000\n1400950726\t30.000000\n1400951327\t30.190000\n1400951928\t30.380000\n1400952528\t30.500000\n1400953129\t30.620000\n1400953729\t30.690000\n1400954330\t30.810000\n1400954930\t30.880000\n1400955531\t30.880000\n1400956131\t30.940000\n1400956732\t31.000000\n1400957332\t31.000000\n1400957933\t31.060000\n1400958533\t31.060000\n1400959134\t31.120000\n1400959734\t31.120000\n1400960335\t31.190000\n1400960935\t31.190000\n1400961536\t31.250000\n1400962136\t31.250000\n1400962737\t31.250000\n1400963338\t31.250000\n1400963938\t31.190000\n1400964554\t31.190000\n1400965154\t31.250000\n1400965755\t31.310000\n1400966355\t31.310000\n1400966956\t31.310000\n1400967556\t31.380000\n1400968157\t31.440000\n1400968757\t31.440000\n1400969358\t31.440000\n1400969958\t31.440000\n1400970559\t31.440000\n1400971159\t31.440000\n1400971760\t31.560000\n1400972360\t31.560000\n1400972961\t31.560000\n1400973561\t31.560000\n1400974162\t31.560000\n1400974763\t31.560000\n1400975363\t31.620000\n1400975964\t31.620000\n1400976564\t31.620000\n1400977165\t31.620000\n1400977765\t31.620000\n1400978366\t31.690000\n1400978966\t31.620000\n1400979567\t31.620000\n1400980167\t31.620000\n1400980768\t31.690000\n1400981368\t31.620000\n1400981984\t31.690000\n1400982584\t31.690000\n1400983185\t31.690000\n1400983785\t31.690000\n1400984386\t31.620000\n1400984986\t31.690000\n1400985587\t31.620000\n1400986187\t31.620000\n1400986788\t31.620000\n1400987388\t31.620000\n1400987989\t31.620000\n1400988589\t31.620000\n1400989190\t31.620000\n1400989791\t31.620000\n1400990391\t31.620000\n1400990992\t31.620000\n1400991592\t31.620000\n1400992192\t31.620000\n1400992793\t31.560000\n1400993394\t31.500000\n1400993994\t31.380000\n1400994595\t31.310000\n1400995195\t31.250000\n1400995796\t31.250000\n1400996396\t31.310000\n1400996997\t31.310000\n1400997597\t31.310000\n1400998198\t31.310000\n1400998798\t31.310000\n1400999414\t31.310000\n1401000014\t31.310000\n1401000615\t31.310000\n1401001215\t31.380000\n1401001816\t31.380000\n1401002416\t31.310000\n1401003017\t31.380000\n1401003617\t31.380000\n1401004218\t31.380000\n1401004819\t31.380000\n1401005419\t31.440000\n1401006019\t31.380000\n1401006620\t31.380000\n1401007220\t31.310000\n1401007821\t31.310000\n1401008422\t31.250000\n1401009022\t31.310000\n1401009623\t31.310000\n1401010223\t31.250000\n1401010824\t31.190000\n1401011424\t31.310000\n1401012025\t31.250000\n1401012625\t31.310000\n1401013226\t31.310000\n1401013826\t31.250000\n1401014427\t31.250000\n1401015027\t31.310000\n1401015628\t31.380000\n1401016228\t31.440000\n1401016829\t31.500000\n1401017444\t31.440000\n1401018045\t31.380000\n1401018645\t31.380000\n1401019246\t31.380000\n1401019846\t31.440000\n1401020447\t31.500000\n1401021047\t31.500000\n1401021648\t31.500000\n1401022248\t31.500000\n1401022849\t31.500000\n1401023449\t31.500000\n1401024050\t31.560000\n1401024650\t31.560000\n1401025251\t31.560000\n1401025852\t31.560000\n1401026452\t31.560000\n1401027053\t31.560000\n1401027653\t31.560000\n1401028254\t31.500000\n1401028854\t31.560000\n1401029455\t31.560000\n1401030055\t31.560000\n1401030656\t31.560000\n1401031256\t31.560000\n1401031857\t31.560000\n1401032457\t31.560000\n1401033073\t31.500000\n1401033673\t31.500000\n1401034274\t31.500000\n1401034874\t31.500000\n1401035475\t31.500000\n1401036075\t31.500000\n1401036676\t31.500000\n1401037276\t31.440000\n1401037877\t31.440000\n1401038478\t31.440000\n1401039078\t31.440000\n1401039679\t31.500000\n1401040279\t31.440000\n1401040880\t31.440000\n1401041480\t31.440000\n1401042081\t31.500000\n1401042681\t31.500000\n1401043282\t31.440000\n1401043882\t31.440000\n1401044483\t31.440000\n1401045083\t31.440000\n1401045684\t31.440000\n1401046284\t31.500000\n1401046885\t31.500000\n1401047485\t31.500000\n1401048086\t31.500000\n1401048686\t31.440000\n1401049302\t31.440000\n1401049902\t31.440000\n1401050503\t31.380000\n1401051103\t31.380000\n1401051704\t31.380000\n1401052305\t31.380000\n1401052905\t31.310000\n1401053506\t31.310000\n1401054106\t31.250000\n1401054707\t31.250000\n1401055307\t31.250000\n1401055908\t31.250000\n1401056508\t31.250000\n1401057109\t31.310000\n1401057709\t31.310000\n1401058310\t31.310000\n1401058910\t31.380000\n1401059511\t31.310000\n1401060111\t31.310000\n1401060712\t31.380000\n1401061312\t31.380000\n1401061913\t31.380000\n1401062513\t31.380000\n1401063114\t31.380000\n1401063714\t31.380000\n1401064315\t31.380000\n1401064915\t31.380000\n1401065516\t31.380000\n1401066117\t31.380000\n1401066717\t31.380000\n1401067318\t31.310000\n1401067918\t31.310000\n1401068534\t31.310000\n1401069134\t31.310000\n1401069735\t31.310000\n1401070335\t31.310000\n1401070936\t31.310000\n1401071536\t31.250000\n1401072137\t31.310000\n1401072737\t31.310000\n1401073338\t31.250000\n1401073938\t31.250000\n1401074539\t31.250000\n1401075139\t31.250000\n1401075740\t31.250000\n1401076340\t31.250000\n1401076941\t31.250000\n1401077541\t31.250000\n1401078142\t31.250000\n1401078742\t31.250000\n1401079343\t31.250000\n1401079943\t31.250000\n1401080544\t31.250000\n1401081144\t31.190000\n1401081745\t31.250000\n1401082346\t31.250000\n1401082946\t31.190000\n1401083547\t31.190000\n1401084147\t31.190000\n1401084748\t31.190000\n1401085348\t31.190000\n1401085949\t31.190000\n1401086549\t31.250000\n1401087150\t31.190000\n1401087750\t31.190000\n1401088351\t31.250000\n1401088951\t31.250000\n1401089567\t31.250000\n1401090167\t31.250000\n1401090768\t31.250000\n1401091368\t31.250000\n1401091969\t31.250000\n1401092570\t31.190000\n1401093170\t31.190000\n1401093771\t31.190000\n1401094371\t31.190000\n1401094972\t31.120000\n1401095572\t31.190000\n1401096173\t31.190000\n1401096773\t31.190000\n1401097374\t31.190000\n1401097974\t31.190000\n1401098575\t31.190000\n1401099175\t31.190000\n1401099776\t31.190000\n1401100376\t31.190000\n1401100977\t31.120000\n1401101577\t31.120000\n1401102178\t31.120000\n1401102778\t31.060000\n1401103379\t31.190000\n1401103979\t31.190000\n1401104580\t31.250000\n1401105180\t31.250000\n1401105781\t31.250000\n1401106396\t31.250000\n1401106997\t31.190000\n1401107597\t31.190000\n1401108198\t31.250000\n1401108799\t31.250000\n1401109399\t31.250000\n1401110000\t31.250000\n1401110600\t31.250000\n1401111201\t31.250000\n1401111801\t30.190000\n1401112402\t28.620000\n1401113002\t27.810000\n1401113603\t27.500000\n1401114203\t27.190000\n1401114804\t26.880000\n1401115404\t26.690000\n1401116005\t26.500000\n1401116605\t27.310000\n1401117206\t28.440000\n1401117806\t29.060000\n1401118407\t29.380000\n1401119007\t29.620000\n1401119608\t29.810000\n1401120208\t29.940000\n1401120809\t30.000000\n1401121409\t30.060000\n1401122010\t30.120000\n1401122610\t30.190000\n1401123211\t30.190000\n1401123811\t30.190000\n1401124412\t30.250000\n1401125027\t30.190000\n1401125628\t30.250000\n1401126229\t30.190000\n1401126829\t30.250000\n1401127429\t30.250000\n1401128030\t30.250000\n1401128631\t30.250000\n1401129231\t30.250000\n1401129832\t30.250000\n1401130432\t30.190000\n1401131033\t30.250000\n1401131633\t30.250000\n1401132234\t30.120000\n1401132834\t30.060000\n1401133435\t30.000000\n1401134035\t29.880000\n1401134636\t29.940000\n1401135236\t29.940000\n1401135837\t30.060000\n1401136437\t30.060000\n1401137038\t30.060000\n1401137638\t30.000000\n1401138239\t29.940000\n1401138839\t29.880000\n1401139440\t29.880000\n1401140040\t29.810000\n1401140641\t29.810000\n1401141242\t29.750000\n1401141842\t29.750000\n1401142458\t29.690000\n1401143058\t29.750000\n1401143659\t29.750000\n1401144259\t29.750000\n1401144860\t29.750000\n1401145460\t29.750000\n1401146061\t29.750000\n1401146661\t29.810000\n1401147262\t29.880000\n1401147862\t29.880000\n1401148463\t29.880000\n1401149063\t29.810000\n1401149664\t29.940000\n1401150264\t29.940000\n1401150865\t29.880000\n1401151465\t29.880000\n1401152066\t29.940000\n1401152666\t29.880000\n1401153267\t29.940000\n1401153867\t29.940000\n1401154468\t29.940000\n1401155068\t29.880000\n1401155669\t29.940000\n1401156269\t30.000000\n1401156870\t30.000000\n1401157470\t29.940000\n1401158071\t29.880000\n1401158671\t29.940000\n1401159287\t29.880000\n1401159888\t29.810000\n1401160488\t29.810000\n1401161089\t29.880000\n1401161689\t29.880000\n1401162290\t29.880000\n1401162890\t29.810000\n1401163491\t29.810000\n1401164091\t29.810000\n1401164692\t29.810000\n1401165292\t29.810000\n1401165893\t29.810000\n1401166493\t29.810000\n1401167094\t29.750000\n1401167694\t29.750000\n1401168295\t29.750000\n1401168895\t29.690000\n1401169496\t29.690000\n1401170096\t29.620000\n1401170697\t29.690000\n1401171297\t29.690000\n1401171898\t29.620000\n1401172498\t29.620000\n1401173099\t29.560000\n1401173699\t29.560000\n1401174300\t29.560000\n1401174900\t29.560000\n1401175501\t29.500000\n1401176101\t29.500000\n1401176717\t29.500000\n1401177317\t29.500000\n1401177918\t29.500000\n1401178519\t29.560000\n1401179119\t29.560000\n1401179720\t29.500000\n1401180320\t29.440000\n1401180921\t29.380000\n1401181521\t29.380000\n1401182122\t29.380000\n1401182722\t29.440000\n1401183323\t29.440000\n1401183923\t29.440000\n1401184524\t29.380000\n1401185124\t29.440000\n1401185725\t29.380000\n1401186325\t29.250000\n1401186926\t29.250000\n1401187526\t29.310000\n1401188127\t29.380000\n1401188727\t29.310000\n1401189328\t29.310000\n1401189928\t29.310000\n1401190529\t29.310000\n1401191129\t29.310000\n1401191730\t29.380000\n1401192330\t29.310000\n1401192931\t29.060000\n1401193531\t29.060000\n1401194132\t29.060000\n1401194747\t29.060000\n1401195348\t29.060000\n1401195948\t29.060000\n1401196549\t29.060000\n1401197150\t29.060000\n1401197750\t29.000000\n1401198351\t29.000000\n1401198951\t29.000000\n1401199552\t28.940000\n1401200152\t28.940000\n1401200753\t28.940000\n1401201353\t28.880000\n1401201954\t28.880000\n1401202554\t28.810000\n1401203155\t28.880000\n1401203755\t28.880000\n1401204356\t28.810000\n1401204956\t28.750000\n1401205557\t28.690000\n1401206157\t28.690000\n1401206758\t28.620000\n1401207358\t28.560000\n1401207959\t28.500000\n1401208559\t28.500000\n1401209160\t28.500000\n1401209760\t28.620000\n1401210361\t28.560000\n1401210961\t28.500000\n1401211577\t28.560000\n1401212177\t28.500000\n1401212778\t28.500000\n1401213378\t28.500000\n1401213979\t28.500000\n1401214579\t28.440000\n1401215180\t28.440000\n1401215781\t28.500000\n1401216381\t28.560000\n1401216982\t28.500000\n1401217582\t28.440000\n1401218183\t28.500000\n1401218783\t28.560000\n1401219384\t28.380000\n1401219984\t28.310000\n1401220585\t28.250000\n1401221185\t28.250000\n1401221786\t28.310000\n1401222386\t28.250000\n1401222987\t28.310000\n1401223587\t28.250000\n1401224188\t28.250000\n1401224788\t28.190000\n1401225389\t28.190000\n1401225989\t28.250000\n1401226590\t28.310000\n1401227191\t28.310000\n1401227791\t28.250000\n1401228392\t28.310000\n1401229007\t28.310000\n1401229608\t28.440000\n1401230208\t28.500000\n1401230809\t28.440000\n1401231409\t28.440000\n1401232010\t28.440000\n1401232610\t28.380000\n1401233211\t28.250000\n1401233811\t28.190000\n1401234412\t28.190000\n1401235012\t28.060000\n1401235613\t28.060000\n1401236213\t28.060000\n1401236814\t28.060000\n1401237414\t28.120000\n1401238015\t28.190000\n1401238615\t28.190000\n1401239216\t28.120000\n1401239816\t28.190000\n1401240417\t28.250000\n1401241017\t28.250000\n1401241618\t28.250000\n1401242218\t28.250000\n1401242819\t28.250000\n1401243420\t28.250000\n1401244020\t28.190000\n1401244621\t28.190000\n1401245221\t28.190000\n1401245837\t28.120000\n1401246437\t28.190000\n1401247038\t28.120000\n1401247638\t28.120000\n1401248239\t28.120000\n1401248839\t28.120000\n1401249440\t28.060000\n1401250040\t28.120000\n1401250641\t28.120000\n1401251241\t28.120000\n1401251842\t28.120000\n1401252442\t28.120000\n1401253043\t28.120000\n1401253643\t28.120000\n1401254244\t28.120000\n1401254844\t28.120000\n1401255445\t28.060000\n1401256045\t28.060000\n1401256646\t28.000000\n1401257246\t28.000000\n1401257847\t27.940000\n1401258447\t27.880000\n1401259048\t27.880000\n1401259648\t27.810000\n1401260249\t27.810000\n1401260864\t27.810000\n1401261465\t27.750000\n1401262065\t27.750000\n1401262666\t27.750000\n1401263267\t27.690000\n1401263867\t27.620000\n1401264468\t27.560000\n1401265068\t27.560000\n1401265669\t27.500000\n1401266269\t27.560000\n1401266870\t27.560000\n1401267470\t27.500000\n1401268071\t27.500000\n1401268671\t27.380000\n1401269272\t24.310000\n1401269872\t23.000000\n1401270473\t22.440000\n1401271073\t21.880000\n1401271674\t21.380000\n1401272274\t21.120000\n1401272875\t20.940000\n1401273475\t20.810000\n1401274076\t20.750000\n1401274676\t21.560000\n1401275277\t23.190000\n1401275877\t24.060000\n1401276478\t24.620000\n1401277079\t25.000000\n1401277679\t25.250000\n1401278280\t25.500000\n1401278895\t25.620000\n1401279496\t25.690000\n1401280096\t25.750000\n1401280697\t25.880000\n1401281297\t25.940000\n1401281898\t26.000000\n1401282498\t26.060000\n1401283099\t26.120000\n1401283699\t26.120000\n1401284300\t26.120000\n1401284900\t26.190000\n1401285501\t26.190000\n1401286101\t26.250000\n1401286702\t26.250000\n1401287302\t26.250000\n1401287903\t26.310000\n1401288503\t26.310000\n1401289104\t26.380000\n1401289704\t26.440000\n1401290305\t26.440000\n1401290905\t26.440000\n1401291506\t26.500000\n1401292106\t26.500000\n1401292707\t26.440000\n1401293308\t26.380000\n1401293908\t26.440000\n1401294509\t26.440000\n1401295109\t26.380000\n1401295710\t26.380000\n1401296325\t26.380000\n1401296926\t26.440000\n1401297526\t26.500000\n1401298127\t26.500000\n1401298727\t26.500000\n1401299328\t26.560000\n1401299928\t26.620000\n1401300529\t26.620000\n1401301129\t26.620000\n1401301730\t26.620000\n1401302330\t26.690000\n1401302931\t26.690000\n1401303531\t26.750000\n1401304132\t26.750000\n1401304732\t26.810000\n1401305333\t26.810000\n1401305933\t26.810000\n1401306534\t26.880000\n1401307134\t26.880000\n1401307735\t26.810000\n1401308335\t26.810000\n1401308936\t26.880000\n1401309536\t26.880000\n1401310137\t26.880000\n1401310737\t26.880000\n1401311338\t26.880000\n1401311953\t26.940000\n1401312554\t26.880000\n1401313154\t26.940000\n1401313755\t26.940000\n1401314355\t26.940000\n1401314956\t26.940000\n1401315557\t26.940000\n1401316157\t26.940000\n1401316758\t27.000000\n1401317358\t26.940000\n1401317959\t27.000000\n1401318559\t26.940000\n1401319160\t26.940000\n1401319760\t26.940000\n1401320361\t26.940000\n1401320961\t26.940000\n1401321562\t26.940000\n1401322162\t27.000000\n1401322763\t26.940000\n1401323363\t26.940000\n1401323964\t26.940000\n1401324564\t26.940000\n1401325165\t26.940000\n1401325765\t27.000000\n1401326366\t27.000000\n1401326966\t26.940000\n1401327582\t26.940000\n1401328182\t26.940000\n1401328783\t27.000000\n1401329383\t26.940000\n1401329984\t26.940000\n1401330584\t26.940000\n1401331185\t26.940000\n1401331786\t26.940000\n1401332386\t26.940000\n1401332987\t26.940000\n1401333587\t26.940000\n1401334188\t26.940000\n1401334788\t26.940000\n1401335389\t26.940000\n1401335989\t26.940000\n1401336590\t26.940000\n1401337190\t26.940000\n1401337791\t26.940000\n1401338391\t26.940000\n1401338992\t26.940000\n1401339592\t26.880000\n1401340193\t26.940000\n1401340793\t26.880000\n1401341394\t26.940000\n1401341994\t26.940000\n1401342595\t26.940000\n1401343195\t26.880000\n1401343796\t26.940000\n1401344396\t26.940000\n1401344997\t26.940000\n1401345597\t26.940000\n1401346213\t27.000000\n1401346813\t26.940000\n1401347414\t27.000000\n1401348015\t27.000000\n1401348615\t27.000000\n1401349216\t27.000000\n1401349816\t27.000000\n1401350417\t27.000000\n1401351017\t27.000000\n1401351618\t27.000000\n1401352218\t27.000000\n1401352819\t27.000000\n1401353419\t27.000000\n1401354020\t27.000000\n1401354620\t27.000000\n1401355221\t27.060000\n1401355821\t27.060000\n1401356422\t27.060000\n1401357022\t27.060000\n1401357623\t27.060000\n1401358223\t27.120000\n1401358824\t27.060000\n1401359424\t27.120000\n1401360025\t27.120000\n1401360625\t27.120000\n1401361226\t27.120000\n1401361826\t27.190000\n1401362427\t27.190000\n1401363043\t27.120000\n1401363643\t27.120000\n1401364244\t27.120000\n1401364844\t27.120000\n1401365445\t27.120000\n1401366045\t27.190000\n1401366646\t27.190000\n1401367246\t27.190000\n1401367847\t27.190000\n1401368447\t27.250000\n1401369048\t27.250000\n1401369648\t27.190000\n1401370249\t27.250000\n1401370849\t27.250000\n1401371450\t27.250000\n1401372050\t27.250000\n1401372651\t27.250000\n1401373252\t27.250000\n1401373852\t27.310000\n1401374453\t27.310000\n1401375053\t27.250000\n1401375654\t27.250000\n1401376254\t27.250000\n1401376855\t27.250000\n1401377455\t27.190000\n1401378056\t27.190000\n1401378656\t27.190000\n1401379257\t27.060000\n1401379872\t27.000000\n1401380473\t27.000000\n1401381073\t27.060000\n1401381674\t27.060000\n1401382274\t27.060000\n1401382875\t27.000000\n1401383475\t27.000000\n1401384076\t27.060000\n1401384676\t27.120000\n1401385277\t27.190000\n1401385878\t27.190000\n1401386478\t27.250000\n1401387079\t27.190000\n1401387679\t27.250000\n1401388280\t27.190000\n1401388880\t27.190000\n1401389481\t27.250000\n1401390081\t27.250000\n1401390682\t27.250000\n1401391282\t27.250000\n1401391883\t27.250000\n1401392483\t27.310000\n1401393084\t27.310000\n1401393684\t27.380000\n1401394285\t27.380000\n1401394885\t27.380000\n1401395486\t27.380000\n1401396087\t27.380000\n1401396687\t27.440000\n1401397288\t27.380000\n1401397888\t27.440000\n1401398504\t27.380000\n1401399104\t27.440000\n1401399705\t27.440000\n1401400305\t27.440000\n1401400906\t27.380000\n1401401506\t27.440000\n1401402107\t27.440000\n1401402707\t27.440000\n1401403308\t27.440000\n1401403908\t27.440000\n1401404509\t27.440000\n1401405109\t27.440000\n1401405710\t27.440000\n1401406310\t27.440000\n1401406911\t27.440000\n1401407511\t27.440000\n1401408112\t27.440000\n1401408712\t27.440000\n1401409313\t27.440000\n1401409913\t27.440000\n1401410514\t27.440000\n1401411114\t27.440000\n1401411715\t27.380000\n1401412315\t27.440000\n1401412916\t27.440000\n1401413516\t27.440000\n1401414117\t27.380000\n1401414717\t27.440000\n1401415318\t27.440000\n1401415933\t27.380000\n1401416534\t27.380000\n1401417134\t27.440000\n1401417735\t27.380000\n1401418335\t27.380000\n1401418936\t27.380000\n1401419537\t27.380000\n1401420137\t27.380000\n1401420738\t27.380000\n1401421338\t27.380000\n1401421939\t27.380000\n1401422539\t27.380000\n1401423140\t27.380000\n1401423740\t27.380000\n1401424341\t27.380000\n1401424941\t27.380000\n1401425542\t27.380000\n1401426142\t27.380000\n1401426743\t27.380000\n1401427343\t27.380000\n1401427944\t27.380000\n1401428544\t27.380000\n1401429145\t27.440000\n1401429746\t27.440000\n1401430346\t27.440000\n1401430947\t27.440000\n1401431547\t27.440000\n1401432148\t27.440000\n1401432748\t27.440000\n1401433364\t27.440000\n1401433964\t27.500000\n1401434565\t27.500000\n1401435165\t27.500000\n1401435766\t27.500000\n1401436366\t27.500000\n1401436967\t27.500000\n1401437567\t27.500000\n1401438168\t27.560000\n1401438768\t27.560000\n1401439369\t27.560000\n1401439969\t27.560000\n1401440570\t27.560000\n1401441170\t27.560000\n1401441771\t27.560000\n1401442371\t25.250000\n1401442972\t25.880000\n1401443572\t26.500000\n1401444173\t26.810000\n1401444773\t27.000000\n1401445374\t27.120000\n1401445974\t27.250000\n1401446575\t27.250000\n1401447176\t27.120000\n1401447776\t26.190000\n1401448377\t26.750000\n1401448977\t27.000000\n1401449578\t27.120000\n1401450178\t27.250000\n1401450779\t27.310000\n1401451394\t27.380000\n1401451995\t27.500000\n1401452595\t27.500000\n1401453196\t27.500000\n1401453796\t27.620000\n1401454397\t27.620000\n1401454997\t27.620000\n1401455598\t27.620000\n1401456198\t27.690000\n1401456799\t27.690000\n1401457399\t27.750000\n1401458000\t27.750000\n1401458601\t27.750000\n1401459201\t27.750000\n1401459802\t27.190000\n1401460402\t27.000000\n1401461003\t27.310000\n1401461603\t27.500000\n1401462204\t27.620000\n1401462804\t27.620000\n1401463405\t27.690000\n1401464005\t27.690000\n1401464606\t27.690000\n1401465206\t27.690000\n1401465807\t27.750000\n1401466407\t27.690000\n1401467008\t27.690000\n1401467608\t27.750000\n1401468209\t27.750000\n1401468810\t27.750000\n1401469410\t27.750000\n1401470011\t27.750000\n1401470611\t27.750000\n1401471212\t27.750000\n1401471827\t27.750000\n1401472428\t27.750000\n1401473028\t27.810000\n1401473629\t27.810000\n1401474229\t27.810000\n1401474830\t27.750000\n1401475430\t27.810000\n1401476031\t27.810000\n1401476631\t27.810000\n1401477232\t27.810000\n1401477832\t27.810000\n1401478433\t27.810000\n1401479033\t27.810000\n1401479634\t27.810000\n1401480235\t27.810000\n1401480835\t27.810000\n1401481436\t27.810000\n1401482036\t27.810000\n1401482637\t27.810000\n1401483237\t27.880000\n1401483838\t27.880000\n1401484438\t27.880000\n1401485039\t27.810000\n1401485639\t27.810000\n1401486240\t27.880000\n1401486840\t27.810000\n1401487441\t27.810000\n1401488041\t27.810000\n1401488642\t27.880000\n1401489242\t27.880000\n1401489843\t27.880000\n1401490443\t27.810000\n1401491059\t27.880000\n1401491660\t27.880000\n1401492260\t27.880000\n1401492861\t27.880000\n1401493461\t27.880000\n1401494062\t27.880000\n1401494662\t27.880000\n1401495263\t27.880000\n1401495863\t27.880000\n1401496464\t27.810000\n1401497064\t27.880000\n1401497665\t27.880000\n1401498265\t27.810000\n1401498866\t27.880000\n1401499466\t27.880000\n1401500067\t27.810000\n1401500667\t27.880000\n1401501268\t27.880000\n1401501869\t27.880000\n1401502469\t27.880000\n1401503070\t27.810000\n1401503670\t27.810000\n1401504271\t27.810000\n1401504871\t27.810000\n1401505472\t27.880000\n1401506072\t27.880000\n1401506673\t27.880000\n1401507273\t27.880000\n1401507874\t27.810000\n1401508474\t27.880000\n1401509075\t27.880000\n1401509675\t27.880000\n1401510291\t27.880000\n1401510891\t27.880000\n1401511492\t27.880000\n1401512093\t27.880000\n1401512693\t27.880000\n1401513294\t27.880000\n1401513894\t27.940000\n1401514495\t27.880000\n1401515095\t27.880000\n1401515696\t27.940000\n1401516296\t27.940000\n1401516897\t27.940000\n1401517497\t27.810000\n1401518098\t27.880000\n1401518698\t27.880000\n1401519299\t27.880000\n1401519899\t27.940000\n1401520500\t28.000000\n1401521100\t27.940000\n1401521701\t28.000000\n1401522301\t27.940000\n1401522902\t28.000000\n1401523503\t28.000000\n1401524103\t28.000000\n1401524704\t28.000000\n1401525304\t28.000000\n1401525905\t28.000000\n1401526505\t28.060000\n1401527106\t28.060000\n1401527706\t28.060000\n1401528322\t28.060000\n1401528922\t28.060000\n1401529523\t28.060000\n1401530123\t28.060000\n1401530724\t28.060000\n1401531324\t28.060000\n1401531925\t28.060000\n1401532526\t28.120000\n1401533126\t28.120000\n1401533727\t28.120000\n1401534327\t28.120000\n1401534928\t28.120000\n1401535528\t28.120000\n1401536129\t28.120000\n1401536729\t28.190000\n1401537330\t28.190000\n1401537930\t28.190000\n1401538531\t28.250000\n1401539131\t28.190000\n1401539732\t28.250000\n1401540332\t28.250000\n1401540933\t28.250000\n1401541534\t28.250000\n1401542134\t28.250000\n1401542735\t28.250000\n1401543335\t28.310000\n1401543936\t28.120000\n1401544536\t28.250000\n1401545137\t28.310000\n1401545752\t28.250000\n1401546353\t28.310000\n1401546953\t28.310000\n1401547554\t28.310000\n1401548154\t28.250000\n1401548755\t28.310000\n1401549356\t28.310000\n1401549956\t28.310000\n1401550557\t28.380000\n1401551157\t28.310000\n1401551758\t28.380000\n1401552358\t28.380000\n1401552959\t28.310000\n1401553559\t28.310000\n1401554160\t28.310000\n1401554760\t28.310000\n1401555361\t28.310000\n1401555961\t28.310000\n1401556562\t28.380000\n1401557162\t28.380000\n1401557763\t28.440000\n1401558364\t28.380000\n1401558964\t28.440000\n1401559565\t28.440000\n1401560165\t28.380000\n1401560766\t28.440000\n1401561366\t28.440000\n1401561967\t28.440000\n1401562567\t28.440000\n1401563168\t28.440000\n1401563768\t28.440000\n1401564369\t28.440000\n1401564985\t28.440000\n1401565585\t28.500000\n1401566186\t28.440000\n1401566786\t28.440000\n1401567387\t28.440000\n1401567987\t28.440000\n1401568588\t28.440000\n1401569188\t28.440000\n1401569789\t28.440000\n1401570389\t28.500000\n1401570990\t28.500000\n1401571590\t28.440000\n1401572191\t28.440000\n1401572791\t28.440000\n1401573392\t28.380000\n1401573992\t28.380000\n1401574593\t28.440000\n1401575194\t28.440000\n1401575794\t28.440000\n1401576395\t28.440000\n1401576995\t28.440000\n1401577596\t28.380000\n1401578196\t28.380000\n1401578797\t28.380000\n1401579397\t28.380000\n1401579998\t28.380000\n1401580598\t28.380000\n1401581199\t28.380000\n1401581799\t28.380000\n1401582400\t28.380000\n1401583016\t28.380000\n1401583616\t28.380000\n1401584217\t28.380000\n1401584817\t28.380000\n1401585418\t28.380000\n1401586018\t28.380000\n1401586619\t28.380000\n1401587219\t28.310000\n1401587820\t28.310000\n1401588420\t28.310000\n1401589021\t28.310000\n1401589621\t28.250000\n1401590222\t28.250000\n1401590822\t28.250000\n1401591423\t28.250000\n1401592024\t28.250000\n1401592624\t28.250000\n1401593225\t28.250000\n1401593825\t28.250000\n1401594426\t28.190000\n1401595026\t28.250000\n1401595627\t28.250000\n1401596227\t28.250000\n1401596828\t28.250000\n1401597428\t28.250000\n1401598029\t28.250000\n1401598629\t28.250000\n1401599230\t28.250000\n1401599830\t28.250000\n1401600431\t28.250000\n1401601032\t28.310000\n1401601647\t28.310000\n1401602248\t28.310000\n1401602848\t28.310000\n1401603449\t28.310000\n1401604049\t28.310000\n1401604650\t28.310000\n1401605250\t28.310000\n1401605851\t28.380000\n1401606451\t28.380000\n1401607052\t28.380000\n1401607652\t28.380000\n1401608253\t28.380000\n1401608853\t28.380000\n1401609454\t28.440000\n1401610055\t28.380000\n1401610655\t28.380000\n1401611256\t28.440000\n1401611856\t28.120000\n1401612457\t28.250000\n1401613057\t28.310000\n1401613658\t28.380000\n1401614258\t28.380000\n1401614859\t28.440000\n1401615459\t28.440000\n1401616060\t28.440000\n1401616660\t28.440000\n1401617261\t28.500000\n1401617861\t28.500000\n1401618462\t28.500000\n1401619063\t28.560000\n1401619663\t28.500000\n1401620279\t28.560000\n1401620879\t28.560000\n1401621480\t28.620000\n1401622080\t28.560000\n1401622681\t28.560000\n1401623281\t28.620000\n1401623882\t28.620000\n1401624482\t28.620000\n1401625083\t28.620000\n1401625684\t28.690000\n1401626284\t28.690000\n1401626885\t28.690000\n1401627485\t28.690000\n1401628086\t28.690000\n1401628686\t28.690000\n1401629287\t28.690000\n1401629887\t28.690000\n1401630488\t28.690000\n1401631088\t28.690000\n1401631689\t28.690000\n1401632289\t28.620000\n1401632890\t28.690000\n1401633490\t28.690000\n1401634091\t28.750000\n1401634691\t28.810000\n1401635292\t28.810000\n1401635893\t28.810000\n1401636493\t28.810000\n1401637094\t28.880000\n1401637694\t28.810000\n1401638295\t28.880000\n1401638910\t28.810000\n1401639511\t28.880000\n1401640111\t28.880000\n1401640712\t28.880000\n1401641312\t28.880000\n1401641913\t28.940000\n1401642513\t28.940000\n1401643114\t28.940000\n1401643714\t28.940000\n1401644315\t28.940000\n1401644915\t28.940000\n1401645516\t28.940000\n1401646117\t28.940000\n1401646717\t28.940000\n1401647318\t28.940000\n1401647918\t28.940000\n1401648519\t28.880000\n1401649119\t28.940000\n1401649720\t28.940000\n1401650320\t28.940000\n1401650921\t28.940000\n1401651521\t28.940000\n1401652122\t28.940000\n1401652722\t28.940000\n1401653323\t28.940000\n1401653923\t29.000000\n1401654524\t29.000000\n1401655124\t29.000000\n1401655725\t29.000000\n1401656326\t29.000000\n1401656941\t29.000000\n1401657541\t29.000000\n1401658142\t29.000000\n1401658742\t29.000000\n1401659343\t29.060000\n1401659944\t29.060000\n1401660544\t29.000000\n1401661145\t29.060000\n1401661745\t29.060000\n1401662346\t29.060000\n1401662946\t29.060000\n1401663547\t29.060000\n1401664147\t29.000000\n1401664748\t29.000000\n1401665348\t29.000000\n1401665949\t29.000000\n1401666549\t29.000000\n1401667150\t29.000000\n1401667750\t29.000000\n1401668351\t29.000000\n1401668952\t29.000000\n1401669552\t29.000000\n1401670153\t29.000000\n1401670753\t29.000000\n1401671354\t29.000000\n1401671954\t29.000000\n1401672555\t29.060000\n1401673155\t29.000000\n1401673756\t29.000000\n1401674356\t29.000000\n1401674957\t29.000000\n1401675573\t28.940000\n1401676173\t28.940000\n1401676774\t28.940000\n1401677374\t28.880000\n1401677975\t28.940000\n1401678575\t28.880000\n1401679176\t28.880000\n1401679776\t28.940000\n1401680377\t28.880000\n1401680977\t28.880000\n1401681578\t28.880000\n1401682178\t28.880000\n1401682779\t28.880000\n1401683379\t28.880000\n1401683980\t28.880000\n1401684581\t28.810000\n1401685181\t28.880000\n1401685782\t28.810000\n1401686382\t28.810000\n1401686983\t28.810000\n1401687583\t28.810000\n1401688184\t28.810000\n1401688784\t28.810000\n1401689385\t28.810000\n1401689986\t28.880000\n1401690586\t28.880000\n1401691187\t28.880000\n1401691787\t28.810000\n1401692388\t28.810000\n1401692988\t28.880000\n1401693589\t28.880000\n1401694204\t28.880000\n1401694805\t28.880000\n1401695405\t28.880000\n1401696006\t28.880000\n1401696606\t28.880000\n1401697207\t28.880000\n1401697807\t28.880000\n1401698408\t28.880000\n1401699008\t28.940000\n1401699609\t28.940000\n1401700210\t28.880000\n1401700810\t28.880000\n1401701411\t28.880000\n1401702011\t28.940000\n1401702612\t28.940000\n1401703212\t28.880000\n1401703813\t28.880000\n1401704413\t28.940000\n1401705014\t28.940000\n1401705614\t27.120000\n1401706215\t26.190000\n1401706816\t25.690000\n1401707416\t25.380000\n1401708017\t25.190000\n1401708617\t25.190000\n1401709218\t25.000000\n1401709818\t24.810000\n1401710434\t24.750000\n1401711034\t24.690000\n1401711635\t24.750000\n1401712235\t24.690000\n1401712836\t24.690000\n1401713436\t24.620000\n1401714037\t25.120000\n1401714638\t26.120000\n1401715238\t26.690000\n1401715839\t27.060000\n1401716439\t27.310000\n1401717040\t27.500000\n1401717640\t27.620000\n1401718241\t27.750000\n1401718841\t27.880000\n1401719442\t27.940000\n1401720042\t28.000000\n1401720643\t28.120000\n1401721243\t28.190000\n1401721844\t28.190000\n1401722444\t28.250000\n1401723045\t28.310000\n1401723646\t28.310000\n1401724246\t28.310000\n1401724847\t28.380000\n1401725447\t28.440000\n1401726048\t28.500000\n1401726648\t28.500000\n1401727249\t28.560000\n1401727849\t28.500000\n1401728450\t28.500000\n1401729065\t28.560000\n1401729666\t28.560000\n1401730267\t28.560000\n1401730867\t28.560000\n1401731468\t28.560000\n1401732068\t28.560000\n1401732669\t28.620000\n1401733269\t28.620000\n1401733870\t28.620000\n1401734470\t28.620000\n1401735071\t28.620000\n1401735671\t28.620000\n1401736272\t28.620000\n1401736872\t28.620000\n1401737473\t28.690000\n1401738073\t28.690000\n1401738674\t28.690000\n1401739274\t28.750000\n1401739875\t28.750000\n1401740476\t28.690000\n1401741076\t28.750000\n1401741677\t28.750000\n1401742277\t28.750000\n1401742878\t28.750000\n1401743478\t28.750000\n1401744079\t28.750000\n1401744679\t28.750000\n1401745280\t28.750000\n1401745880\t28.750000\n1401746481\t28.690000\n1401747081\t28.750000\n1401747697\t28.750000\n1401748297\t28.750000\n1401748898\t28.750000\n1401749499\t28.750000\n1401750099\t28.750000\n1401750700\t28.750000\n1401751300\t28.810000\n1401751901\t28.750000\n1401752501\t28.750000\n1401753102\t28.750000\n1401753702\t28.810000\n1401754303\t28.810000\n1401754903\t28.750000\n1401755504\t28.810000\n1401756104\t28.810000\n1401756705\t28.810000\n1401757305\t28.810000\n1401757906\t28.810000\n1401758507\t28.810000\n1401759107\t28.810000\n1401759708\t28.810000\n1401760308\t28.750000\n1401760909\t28.810000\n1401761509\t28.810000\n1401762110\t28.750000\n1401762710\t28.810000\n1401763311\t28.810000\n1401763911\t28.810000\n1401764527\t28.750000\n1401765127\t28.750000\n1401765728\t28.750000\n1401766328\t28.750000\n1401766929\t28.750000\n1401767529\t28.750000\n1401768130\t28.750000\n1401768730\t28.750000\n1401769331\t28.750000\n1401769931\t28.810000\n1401770532\t28.810000\n1401771133\t28.810000\n1401771733\t28.810000\n1401772334\t28.810000\n1401772934\t28.810000\n1401773535\t28.810000\n1401774135\t28.880000\n1401774736\t28.810000\n1401775336\t28.810000\n1401775937\t28.880000\n1401776537\t28.810000\n1401777138\t28.810000\n1401777738\t28.880000\n1401778339\t28.880000\n1401778939\t28.810000\n1401779540\t28.880000\n1401780140\t28.880000\n1401780741\t28.880000\n1401781342\t28.880000\n1401781942\t28.880000\n1401782558\t28.880000\n1401783158\t28.880000\n1401783759\t28.880000\n1401784359\t28.940000\n1401784960\t28.880000\n1401785560\t28.880000\n1401786161\t28.940000\n1401786761\t28.940000\n1401787362\t28.940000\n1401787962\t28.940000\n1401788563\t28.940000\n1401789164\t28.940000\n1401789764\t29.000000\n1401790365\t29.000000\n1401790965\t29.000000\n1401791566\t29.060000\n1401792166\t29.000000\n1401792767\t29.060000\n1401793367\t29.060000\n1401793968\t29.060000\n1401794568\t29.060000\n1401795169\t29.060000\n1401795769\t29.060000\n1401796370\t29.060000\n1401796970\t29.060000\n1401797571\t29.060000\n1401798171\t29.120000\n1401798772\t29.060000\n1401799372\t29.000000\n1401799973\t29.000000\n1401800573\t29.000000\n1401801189\t29.000000\n1401801790\t29.000000\n1401802390\t29.060000\n1401802991\t29.060000\n1401803591\t29.060000\n1401804192\t28.940000\n1401804792\t28.810000\n1401805393\t28.750000\n1401805993\t28.690000\n1401806594\t28.560000\n1401807194\t28.810000\n1401807795\t28.880000\n1401808395\t28.940000\n1401808996\t29.000000\n1401809597\t29.000000\n1401810197\t29.000000\n1401810798\t29.000000\n1401811398\t29.000000\n1401811999\t29.000000\n1401812599\t29.000000\n1401813200\t29.000000\n1401813800\t29.000000\n1401814401\t29.000000\n1401815001\t29.060000\n1401815602\t29.000000\n1401816202\t29.000000\n1401816803\t29.000000\n1401817404\t29.000000\n1401818004\t29.000000\n1401818605\t29.000000\n1401819205\t28.000000\n1401819821\t28.380000\n1401820421\t28.560000\n1401821022\t28.750000\n1401821622\t28.880000\n1401822223\t28.880000\n1401822823\t28.940000\n1401823424\t28.940000\n1401824024\t28.880000\n1401824625\t28.940000\n1401825226\t29.000000\n1401825826\t28.940000\n1401826426\t29.000000\n1401827027\t29.000000\n1401827627\t29.060000\n1401828228\t29.060000\n1401828829\t29.060000\n1401829429\t29.060000\n1401830030\t29.060000\n1401830630\t29.060000\n1401831231\t29.060000\n1401831831\t29.060000\n1401832432\t29.120000\n1401833032\t29.120000\n1401833633\t29.060000\n1401834233\t29.120000\n1401834834\t29.120000\n1401835434\t29.060000\n1401836035\t29.120000\n1401836635\t29.060000\n1401837236\t29.120000\n1401837851\t29.060000\n1401838452\t29.060000\n1401839053\t29.060000\n1401839653\t29.060000\n1401840254\t29.120000\n1401840854\t29.120000\n1401841455\t29.190000\n1401842055\t29.190000\n1401842656\t29.190000\n1401843256\t29.190000\n1401843857\t29.190000\n1401844457\t29.190000\n1401845058\t29.250000\n1401845658\t29.250000\n1401846259\t29.250000\n1401846860\t29.250000\n1401847460\t29.250000\n1401848061\t29.250000\n1401848661\t29.250000\n1401849262\t29.250000\n1401849862\t29.250000\n1401850463\t29.250000\n1401851063\t29.190000\n1401851664\t29.250000\n1401852264\t29.250000\n1401852865\t29.250000\n1401853465\t29.250000\n1401854066\t29.190000\n1401854666\t29.250000\n1401855267\t29.250000\n1401855883\t29.250000\n1401856483\t29.250000\n1401857084\t29.250000\n1401857684\t29.250000\n1401858285\t29.250000\n1401858885\t29.250000\n1401859486\t29.250000\n1401860086\t29.250000\n1401860687\t29.250000\n1401861287\t29.310000\n1401861888\t29.310000\n1401862488\t29.310000\n1401863089\t29.310000\n1401863690\t29.310000\n1401864290\t29.310000\n1401864891\t29.310000\n1401865491\t29.310000\n1401866092\t29.250000\n1401866692\t29.310000\n1401867293\t29.310000\n1401867893\t29.310000\n1401868494\t29.310000\n1401869094\t29.310000\n1401869695\t29.310000\n1401870296\t29.380000\n1401870896\t29.310000\n1401871497\t29.380000\n1401872097\t29.380000\n1401872698\t29.380000\n1401873298\t29.380000\n1401873899\t29.440000\n1401874499\t29.380000\n1401875100\t29.440000\n1401875715\t29.440000\n1401876316\t29.440000\n1401876916\t29.440000\n1401877517\t29.440000\n1401878117\t29.440000\n1401878718\t29.440000\n1401879319\t29.440000\n1401879919\t29.440000\n1401880520\t29.440000\n1401881120\t29.440000\n1401881721\t29.440000\n1401882321\t29.440000\n1401882922\t29.440000\n1401883522\t29.500000\n1401884123\t29.440000\n1401884723\t29.500000\n1401885324\t29.440000\n1401885924\t29.440000\n1401886525\t29.440000\n1401887125\t29.440000\n1401887726\t29.440000\n1401888327\t29.500000\n1401888927\t29.560000\n1401889528\t29.560000\n1401890128\t29.560000\n1401890729\t29.560000\n1401891329\t29.560000\n1401891930\t29.560000\n1401892530\t29.560000\n1401893131\t29.560000\n1401893731\t29.560000\n1401894332\t29.560000\n1401894932\t29.560000\n1401895533\t29.560000\n1401896149\t29.560000\n1401896749\t29.560000\n1401897350\t29.560000\n1401897950\t29.560000\n1401898551\t29.500000\n1401899151\t29.500000\n1401899752\t29.500000\n1401900352\t29.500000\n1401900953\t29.500000\n1401901553\t29.560000\n1401902154\t29.560000\n1401902754\t29.620000\n1401903355\t29.560000\n1401903955\t29.620000\n1401904556\t29.620000\n1401905157\t29.620000\n1401905757\t29.620000\n1401906358\t29.620000\n1401906958\t29.620000\n1401907559\t29.620000\n1401908159\t29.690000\n1401908760\t29.690000\n1401909360\t29.690000\n1401909961\t29.690000\n1401910561\t29.690000\n1401911162\t29.690000\n1401911763\t29.690000\n1401912363\t29.690000\n1401912964\t29.690000\n1401913564\t29.690000\n1401914165\t29.690000\n1401914765\t29.690000\n1401915366\t29.690000\n1401915981\t29.690000\n1401916582\t29.690000\n1401917182\t29.690000\n1401917783\t29.750000\n1401918383\t29.690000\n1401918984\t29.690000\n1401919584\t29.750000\n1401920185\t29.750000\n1401920786\t29.690000\n1401921386\t29.750000\n1401921987\t29.690000\n1401922587\t29.690000\n1401923188\t29.690000\n1401923788\t29.690000\n1401924389\t29.690000\n1401924989\t29.690000\n1401925590\t29.750000\n1401926190\t29.750000\n1401926791\t29.750000\n1401927391\t29.810000\n1401927992\t29.750000\n1401928592\t29.750000\n1401929193\t29.750000\n1401929794\t29.750000\n1401930394\t29.810000\n1401930995\t29.750000\n1401931595\t29.750000\n1401932196\t29.750000\n1401932796\t29.750000\n1401933412\t29.810000\n1401934012\t29.810000\n1401934613\t29.810000\n1401935213\t29.750000\n1401935814\t29.810000\n1401936414\t29.750000\n1401937015\t29.810000\n1401937615\t29.810000\n1401938216\t29.810000\n1401938817\t29.750000\n1401939417\t29.810000\n1401940018\t29.810000\n1401940618\t29.810000\n1401941219\t29.810000\n1401941819\t29.810000\n1401942420\t29.810000\n1401943020\t29.810000\n1401943621\t29.880000\n1401944221\t29.880000\n1401944822\t29.880000\n1401945423\t29.880000\n1401946023\t29.880000\n1401946624\t29.810000\n1401947224\t29.880000\n1401947825\t29.810000\n1401948425\t29.880000\n1401949026\t29.940000\n1401949626\t29.880000\n1401950227\t29.880000\n1401950827\t29.880000\n1401951428\t29.810000\n1401952028\t29.750000\n1401952644\t29.750000\n1401953245\t29.750000\n1401953845\t29.750000\n1401954446\t29.750000\n1401955046\t29.750000\n1401955647\t29.810000\n1401956247\t29.880000\n1401956848\t29.880000\n1401957448\t29.940000\n1401958049\t29.880000\n1401958649\t29.880000\n1401959250\t29.880000\n1401959850\t29.880000\n1401960451\t29.880000\n1401961051\t29.750000\n1401961652\t29.810000\n1401962252\t29.810000\n1401962853\t29.750000\n1401963454\t29.690000\n1401964054\t29.690000\n1401964655\t29.690000\n1401965255\t29.690000\n1401965856\t29.690000\n1401966456\t29.690000\n1401967057\t29.690000\n1401967657\t29.690000\n1401968258\t29.620000\n1401968858\t27.250000\n1401969459\t26.000000\n1401970059\t25.250000\n1401970660\t24.810000\n1401971276\t24.500000\n1401971876\t24.310000\n1401972477\t24.190000\n1401973077\t24.120000\n1401973678\t24.060000\n1401974278\t24.000000\n1401974879\t24.000000\n1401975479\t23.880000\n1401976080\t23.880000\n1401976680\t23.880000\n1401977281\t23.750000\n1401977881\t23.750000\n1401978482\t23.750000\n1401979083\t23.690000\n1401979683\t23.620000\n1401980284\t23.560000\n1401980884\t23.500000\n1401981485\t23.560000\n1401982085\t25.060000\n1401982686\t26.000000\n1401983286\t26.620000\n1401983887\t27.060000\n1401984487\t27.440000\n1401985088\t27.690000\n1401985688\t27.940000\n1401986289\t28.120000\n1401986889\t28.310000\n1401987490\t28.440000\n1401988090\t28.560000\n1401988706\t28.620000\n1401989306\t28.750000\n1401989907\t28.810000\n1401990508\t28.880000\n1401991108\t29.000000\n1401991709\t29.060000\n1401992309\t29.120000\n1401992910\t29.190000\n1401993510\t29.250000\n1401994111\t29.250000\n1401994711\t29.310000\n1401995312\t29.380000\n1401995912\t29.380000\n1401996513\t29.440000\n1401997113\t29.500000\n1401997714\t29.500000\n1401998314\t29.500000\n1401998915\t29.620000\n1401999515\t29.620000\n1402000116\t29.620000\n1402000716\t29.620000\n1402001317\t29.690000\n1402001918\t29.690000\n1402002518\t29.750000\n1402003119\t29.750000\n1402003719\t29.750000\n1402004320\t29.750000\n1402004920\t29.750000\n1402005521\t29.810000\n1402006121\t29.810000\n1402006737\t29.810000\n1402007337\t29.880000\n1402007938\t29.940000\n1402008538\t29.940000\n1402009139\t29.940000\n1402009739\t29.940000\n1402010340\t29.940000\n1402010941\t29.940000\n1402011541\t29.940000\n1402012142\t29.940000\n1402012742\t30.000000\n1402013343\t30.000000\n1402013943\t30.000000\n1402014544\t30.060000\n1402015144\t30.000000\n1402015745\t30.060000\n1402016345\t30.060000\n1402016946\t30.060000\n1402017546\t30.060000\n1402018147\t30.120000\n1402018748\t30.120000\n1402019348\t30.120000\n1402019949\t30.120000\n1402020549\t30.120000\n1402021150\t30.120000\n1402021750\t30.120000\n1402022351\t30.120000\n1402022951\t30.190000\n1402023552\t30.120000\n1402024167\t30.120000\n1402024768\t30.190000\n1402025368\t30.190000\n1402025969\t30.190000\n1402026569\t30.190000\n1402027170\t30.190000\n1402027771\t30.250000\n1402028371\t30.250000\n1402028972\t30.250000\n1402029572\t30.250000\n1402030173\t30.250000\n1402030773\t30.250000\n1402031374\t30.250000\n1402031974\t30.250000\n1402032575\t30.310000\n1402033175\t30.310000\n1402033776\t30.310000\n1402034376\t30.380000\n1402034977\t30.310000\n1402035578\t30.380000\n1402036178\t30.380000\n1402036779\t30.380000\n1402037379\t30.380000\n1402037980\t30.380000\n1402038580\t30.380000\n1402039181\t30.380000\n1402039796\t30.440000\n1402040397\t30.440000\n1402040998\t30.440000\n1402041598\t30.440000\n1402042199\t30.440000\n1402042799\t30.060000\n1402043400\t29.940000\n1402044000\t29.880000\n1402044601\t29.880000\n1402045201\t29.880000\n1402045802\t29.880000\n1402046402\t29.880000\n1402047003\t29.880000\n1402047603\t29.940000\n1402048204\t29.940000\n1402048804\t29.940000\n1402049405\t29.940000\n1402050005\t29.940000\n1402050606\t29.940000\n1402051206\t29.940000\n1402051807\t29.940000\n1402052407\t29.940000\n1402053008\t29.940000\n1402053609\t29.940000\n1402054209\t30.000000\n1402054810\t30.000000\n1402055410\t30.000000\n1402056011\t30.000000\n1402056611\t30.000000\n1402057212\t30.000000\n1402057812\t30.000000\n1402058428\t30.060000\n1402059028\t30.060000\n1402059629\t30.000000\n1402060229\t30.060000\n1402060830\t30.060000\n1402061430\t30.060000\n1402062031\t30.060000\n1402062631\t30.060000\n1402063232\t30.120000\n1402063832\t30.120000\n1402064433\t30.120000\n1402065034\t30.120000\n1402065634\t30.120000\n1402066235\t30.120000\n1402066835\t30.120000\n1402067436\t30.120000\n1402068036\t30.120000\n1402068637\t30.120000\n1402069237\t30.120000\n1402069838\t30.190000\n1402070438\t30.190000\n1402071039\t30.190000\n1402071639\t30.190000\n1402072240\t30.190000\n1402072840\t30.190000\n1402073441\t30.190000\n1402074041\t30.190000\n1402074642\t30.190000\n1402075258\t30.250000\n1402075858\t30.250000\n1402076459\t30.250000\n1402077059\t30.250000\n1402077660\t30.190000\n1402078260\t30.250000\n1402078861\t30.190000\n1402079461\t30.190000\n1402080062\t30.190000\n1402080662\t30.250000\n1402081263\t30.250000\n1402081863\t30.250000\n1402082464\t30.190000\n1402083065\t30.190000\n1402083665\t30.120000\n1402084266\t30.190000\n1402084866\t30.190000\n1402085467\t30.250000\n1402086067\t30.190000\n1402086668\t30.190000\n1402087268\t30.190000\n1402087869\t30.190000\n1402088469\t30.120000\n1402089070\t30.190000\n1402089670\t30.190000\n1402090271\t30.190000\n1402090871\t30.190000\n1402091472\t30.250000\n1402092088\t30.190000\n1402092688\t30.190000\n1402093289\t30.250000\n1402093889\t30.190000\n1402094490\t30.250000\n1402095090\t30.250000\n1402095691\t30.250000\n1402096291\t30.250000\n1402096892\t30.250000\n1402097492\t30.250000\n1402098093\t30.250000\n1402098693\t30.250000\n1402099294\t30.250000\n1402099894\t30.250000\n1402100495\t30.250000\n1402101095\t30.250000\n1402101696\t30.250000\n1402102297\t30.250000\n1402102897\t30.250000\n1402103498\t30.250000\n1402104098\t30.250000\n1402104699\t30.250000\n1402105299\t30.250000\n1402105900\t30.250000\n1402106500\t30.250000\n1402107101\t30.190000\n1402107701\t30.190000\n1402108302\t30.190000\n1402108902\t30.190000\n1402109503\t30.190000\n1402110104\t30.190000\n1402110719\t30.190000\n1402111320\t30.190000\n1402111920\t30.190000\n1402112521\t30.190000\n1402113121\t30.190000\n1402113722\t30.190000\n1402114322\t30.190000\n1402114923\t30.190000\n1402115523\t30.190000\n1402116124\t30.190000\n1402116724\t30.190000\n1402117325\t30.190000\n1402117925\t30.190000\n1402118526\t30.190000\n1402119127\t30.190000\n1402119727\t30.250000\n1402120328\t30.250000\n1402120928\t30.250000\n1402121529\t30.250000\n1402122129\t30.250000\n1402122730\t30.250000\n1402123330\t30.250000\n1402123931\t30.250000\n1402124531\t30.250000\n1402125132\t30.250000\n1402125733\t30.250000\n1402126333\t30.250000\n1402126934\t30.250000\n1402127534\t30.250000\n1402128135\t30.250000\n1402128750\t30.250000\n1402129351\t30.250000\n1402129951\t30.250000\n1402130552\t30.250000\n1402131152\t30.250000\n1402131753\t30.250000\n1402132353\t30.310000\n1402132954\t30.310000\n1402133554\t30.310000\n1402134155\t30.310000\n1402134755\t30.310000\n1402135356\t30.310000\n1402135956\t30.310000\n1402136557\t30.380000\n1402137157\t30.380000\n1402137758\t30.310000\n1402138359\t30.250000\n1402138959\t30.250000\n1402139560\t30.250000\n1402140160\t30.250000\n1402140761\t30.250000\n1402141361\t30.310000\n1402141962\t30.310000\n1402142562\t30.250000\n1402143163\t30.250000\n1402143763\t30.190000\n1402144364\t30.250000\n1402144965\t30.310000\n1402145565\t30.310000\n1402146165\t30.310000\n1402146781\t30.310000\n1402147382\t30.380000\n1402147982\t30.380000\n1402148583\t30.380000\n1402149183\t30.440000\n1402149784\t30.380000\n1402150384\t30.440000\n1402150985\t30.380000\n1402151585\t30.440000\n1402152186\t30.380000\n1402152786\t30.440000\n1402153387\t30.440000\n1402153987\t30.440000\n1402154588\t30.440000\n1402155188\t30.440000\n1402155789\t30.500000\n1402156390\t30.500000\n1402156990\t30.500000\n1402157591\t30.500000\n1402158191\t30.440000\n1402158792\t30.500000\n1402159392\t30.500000\n1402159993\t30.500000\n1402160593\t30.500000\n1402161194\t30.500000\n1402161794\t30.500000\n1402162395\t30.500000\n1402162995\t30.500000\n1402163596\t30.560000\n1402164212\t30.560000\n1402164812\t30.560000\n1402165413\t30.500000\n1402166013\t30.500000\n1402166614\t30.500000\n1402167214\t30.560000\n1402167815\t30.560000\n1402168415\t30.560000\n1402169016\t30.500000\n1402169616\t30.560000\n1402170217\t30.500000\n1402170817\t30.560000\n1402171418\t30.560000\n1402172018\t30.560000\n1402172619\t30.560000\n1402173220\t30.560000\n1402173820\t30.560000\n1402174421\t30.500000\n1402175021\t30.560000\n1402175622\t30.500000\n1402176222\t30.500000\n1402176823\t30.500000\n1402177423\t30.500000\n1402178024\t30.500000\n1402178624\t30.500000\n1402179225\t30.500000\n1402179825\t30.560000\n1402180426\t30.560000\n1402181026\t30.500000\n1402181642\t30.500000\n1402182242\t30.500000\n1402182843\t30.500000\n1402183444\t30.500000\n1402184044\t30.500000\n1402184645\t30.500000\n1402185245\t30.500000\n1402185846\t30.500000\n1402186446\t30.500000\n1402187047\t30.500000\n1402187647\t30.500000\n1402188248\t30.500000\n1402188848\t30.500000\n1402189449\t30.440000\n1402190049\t30.440000\n1402190650\t30.440000\n1402191250\t30.440000\n1402191851\t30.500000\n1402192451\t30.440000\n1402193052\t30.440000\n1402193652\t30.440000\n1402194253\t30.440000\n1402194853\t30.440000\n1402195454\t30.440000\n1402196055\t30.380000\n1402196655\t30.440000\n1402197256\t30.380000\n1402197856\t30.310000\n1402198457\t30.310000\n1402199072\t30.250000\n1402199673\t30.250000\n1402200273\t30.190000\n1402200874\t30.250000\n1402201474\t30.250000\n1402202075\t30.250000\n1402202675\t30.250000\n1402203276\t30.250000\n1402203877\t30.250000\n1402204477\t30.250000\n1402205078\t30.250000\n1402205678\t30.190000\n1402206279\t30.190000\n1402206879\t30.250000\n1402207480\t30.250000\n1402208080\t30.190000\n1402208681\t30.190000\n1402209281\t30.190000\n1402209882\t30.190000\n1402210482\t30.190000\n1402211083\t30.190000\n1402211684\t30.190000\n1402212284\t30.250000\n1402212885\t30.190000\n1402213485\t30.190000\n1402214086\t30.190000\n1402214686\t30.190000\n1402215287\t30.250000\n1402215887\t30.250000\n1402216488\t30.190000\n1402217088\t30.250000\n1402217689\t30.310000\n1402218304\t30.250000\n1402218905\t30.310000\n1402219505\t30.310000\n1402220106\t30.310000\n1402220706\t30.310000\n1402221307\t30.250000\n1402221908\t29.620000\n1402222508\t28.620000\n1402223109\t28.250000\n1402223709\t28.000000\n1402224310\t27.810000\n1402224910\t27.750000\n1402225511\t27.560000\n1402226111\t27.250000\n1402226712\t27.060000\n1402227313\t26.940000\n1402227913\t26.880000\n1402228514\t26.940000\n1402229114\t27.190000\n1402229715\t27.310000\n1402230315\t27.380000\n1402230916\t27.440000\n1402231516\t27.380000\n1402232117\t26.750000\n1402232717\t26.500000\n1402233318\t26.380000\n1402233918\t26.250000\n1402234519\t26.250000\n1402235119\t26.250000\n1402235720\t26.310000\n1402236320\t26.440000\n1402236936\t27.250000\n1402237537\t27.690000\n1402238137\t28.060000\n1402238738\t28.310000\n1402239338\t28.500000\n1402239939\t28.690000\n1402240539\t28.880000\n1402241140\t28.940000\n1402241740\t28.940000\n1402242341\t29.060000\n1402242941\t29.120000\n1402243542\t29.190000\n1402244143\t29.250000\n1402244743\t29.190000\n1402245344\t29.250000\n1402245944\t29.310000\n1402246545\t29.440000\n1402247145\t29.500000\n1402247746\t29.560000\n1402248346\t29.500000\n1402248947\t29.500000\n1402249547\t29.560000\n1402250148\t29.440000\n1402250748\t29.440000\n1402251349\t29.500000\n1402251950\t29.500000\n1402252550\t29.500000\n1402253151\t29.500000\n1402253751\t29.560000\n1402254352\t29.620000\n1402254952\t29.690000\n1402255568\t29.750000\n1402256168\t29.750000\n1402256769\t29.810000\n1402257369\t29.880000\n1402257970\t29.940000\n1402258570\t29.940000\n1402259171\t30.000000\n1402259772\t30.000000\n1402260372\t30.000000\n1402260973\t30.000000\n1402261573\t30.060000\n1402262174\t30.060000\n1402262774\t30.060000\n1402263375\t30.120000\n1402263975\t30.120000\n1402264576\t30.190000\n1402265176\t30.190000\n1402265777\t30.190000\n1402266377\t30.190000\n1402266978\t30.250000\n1402267578\t30.250000\n1402268179\t30.250000\n1402268780\t30.250000\n1402269380\t30.250000\n1402269981\t30.310000\n1402270581\t30.310000\n1402271182\t30.250000\n1402271782\t30.310000\n1402272383\t30.310000\n1402272983\t30.310000\n1402273584\t30.310000\n1402274184\t30.380000\n1402274785\t30.310000\n1402275385\t30.380000\n1402276001\t30.380000\n1402276601\t30.380000\n1402277202\t30.380000\n1402277803\t30.380000\n1402278403\t30.380000\n1402279004\t30.380000\n1402279604\t30.380000\n1402280205\t30.380000\n1402280805\t30.380000\n1402281406\t30.380000\n1402282006\t30.380000\n1402282607\t30.380000\n1402283207\t30.380000\n1402283808\t30.440000\n1402284408\t30.440000\n1402285009\t30.380000\n1402285609\t30.380000\n1402286210\t30.310000\n1402286811\t30.310000\n1402287411\t30.310000\n1402288012\t30.380000\n1402288612\t30.440000\n1402289213\t30.440000\n1402289813\t30.440000\n1402290414\t30.380000\n1402291014\t30.380000\n1402291615\t30.310000\n1402292215\t30.310000\n1402292816\t30.310000\n1402293416\t30.380000\n1402294017\t30.380000\n1402294617\t30.380000\n1402295218\t30.380000\n1402295818\t30.440000\n1402296434\t30.380000\n1402297034\t30.310000\n1402297635\t30.250000\n1402298236\t30.310000\n1402298836\t30.310000\n1402299437\t30.310000\n1402300037\t30.250000\n1402300638\t30.250000\n1402301238\t30.250000\n1402301839\t30.250000\n1402302439\t30.190000\n1402303040\t30.250000\n1402303640\t30.310000\n1402304241\t30.250000\n1402304841\t30.250000\n1402305442\t30.190000\n1402306042\t30.190000\n1402306643\t30.190000\n1402307244\t30.190000\n1402307844\t30.250000\n1402308445\t30.250000\n1402309045\t30.190000\n1402309646\t30.190000\n1402310246\t30.120000\n1402310847\t28.620000\n1402311447\t27.940000\n1402312048\t27.500000\n1402312648\t27.190000\n1402313249\t27.060000\n1402313849\t27.000000\n1402314450\t27.000000\n1402315065\t26.940000\n1402315666\t26.940000\n1402316267\t26.940000\n1402316867\t26.940000\n1402317468\t27.000000\n1402318068\t27.060000\n1402318669\t27.060000\n1402319269\t27.060000\n1402319870\t27.120000\n1402320470\t27.120000\n1402321071\t27.060000\n1402321671\t27.000000\n1402322272\t27.060000\n1402322873\t27.060000\n1402323473\t27.120000\n1402324074\t27.120000\n1402324674\t27.250000\n1402325275\t27.440000\n1402325875\t27.560000\n1402326476\t27.560000\n1402327076\t27.440000\n1402327677\t27.380000\n1402328277\t27.380000\n1402328878\t27.380000\n1402329478\t27.380000\n1402330079\t27.380000\n1402330680\t27.380000\n1402331280\t27.310000\n1402331881\t27.310000\n1402332481\t27.310000\n1402333082\t27.250000\n1402333682\t27.250000\n1402334298\t27.250000\n1402334898\t27.250000\n1402335499\t27.380000\n1402336099\t28.000000\n1402336700\t28.440000\n1402337300\t28.690000\n1402337901\t28.940000\n1402338501\t29.060000\n1402339102\t29.190000\n1402339702\t29.310000\n1402340303\t29.380000\n1402340903\t29.440000\n1402341504\t29.500000\n1402342104\t29.560000\n1402342705\t29.620000\n1402343305\t29.690000\n1402343906\t29.810000\n1402344506\t29.810000\n1402345107\t29.880000\n1402345707\t29.880000\n1402346308\t29.880000\n1402346908\t29.880000\n1402347509\t29.940000\n1402348110\t30.000000\n1402348710\t30.000000\n1402349311\t30.000000\n1402349911\t30.060000\n1402350512\t30.060000\n1402351112\t30.060000\n1402351728\t30.120000\n1402352328\t30.120000\n1402352929\t30.120000\n1402353529\t30.190000\n1402354130\t30.190000\n1402354731\t30.190000\n1402355331\t30.250000\n1402355932\t30.250000\n1402356532\t30.250000\n1402357133\t30.250000\n1402357733\t30.250000\n1402358334\t30.250000\n1402358934\t30.310000\n1402359535\t30.310000\n1402360135\t30.310000\n1402360736\t30.310000\n1402361336\t30.380000\n1402361937\t30.380000\n1402362538\t30.380000\n1402363138\t30.380000\n1402363739\t30.380000\n1402364339\t30.380000\n1402364940\t30.380000\n1402365540\t30.380000\n1402366141\t30.440000\n1402366741\t30.440000\n1402367342\t30.440000\n1402367942\t30.440000\n1402368543\t30.380000\n1402369143\t30.440000\n1402369744\t30.440000\n1402370344\t30.440000\n1402370960\t30.440000\n1402371561\t30.440000\n1402372161\t30.440000\n1402372762\t30.440000\n1402373362\t30.440000\n1402373963\t30.500000\n1402374563\t30.500000\n1402375164\t30.500000\n1402375764\t30.500000\n1402376365\t30.500000\n1402376965\t30.500000\n1402377566\t30.560000\n1402378166\t30.560000\n1402378767\t30.560000\n1402379367\t30.560000\n1402379968\t30.560000\n1402380569\t30.560000\n1402381169\t30.560000\n1402381770\t30.560000\n1402382370\t30.620000\n1402382971\t30.620000\n1402383571\t30.620000\n1402384172\t30.620000\n1402384772\t30.690000\n1402385373\t30.690000\n1402385973\t30.690000\n1402386574\t30.690000\n1402387174\t30.690000\n1402387775\t30.690000\n1402388375\t30.690000\n1402388976\t30.750000\n1402389592\t30.750000\n1402390192\t30.750000\n1402390793\t30.810000\n1402391393\t30.810000\n1402391994\t28.880000\n1402392594\t27.940000\n1402393195\t27.440000\n1402393795\t27.250000\n1402394396\t27.060000\n1402394996\t26.880000\n1402395597\t28.060000\n1402396198\t28.750000\n1402396798\t29.190000\n1402397399\t29.500000\n1402397999\t29.690000\n1402398600\t29.810000\n1402399200\t29.940000\n1402399801\t30.060000\n1402400401\t30.120000\n1402401002\t29.060000\n1402401602\t28.190000\n1402402203\t27.750000\n1402402803\t27.500000\n1402403404\t27.440000\n1402404004\t27.440000\n1402404605\t27.380000\n1402405206\t27.380000\n1402405806\t27.380000\n1402406422\t27.500000\n1402407022\t27.560000\n1402407623\t27.690000\n1402408223\t27.690000\n1402408824\t27.750000\n1402409424\t27.750000\n1402410025\t28.560000\n1402410625\t29.000000\n1402411226\t29.380000\n1402411827\t29.560000\n1402412427\t29.560000\n1402413028\t29.690000\n1402413628\t29.880000\n1402414229\t29.940000\n1402414829\t30.000000\n1402415430\t30.120000\n1402416030\t30.190000\n1402416631\t30.190000\n1402417231\t30.250000\n1402417832\t30.310000\n1402418432\t30.310000\n1402419033\t30.440000\n1402419634\t30.440000\n1402420234\t30.500000\n1402420835\t30.500000\n1402421435\t30.560000\n1402422036\t30.620000\n1402422636\t30.620000\n1402423237\t30.620000\n1402423852\t30.690000\n1402424453\t30.690000\n1402425053\t30.750000\n1402425654\t30.750000\n1402426255\t30.750000\n1402426855\t30.810000\n1402427456\t30.810000\n1402428056\t30.810000\n1402428657\t30.810000\n1402429257\t30.880000\n1402429858\t30.880000\n1402430458\t30.880000\n1402431059\t30.880000\n1402431659\t30.940000\n1402432260\t30.940000\n1402432860\t30.940000\n1402433461\t30.940000\n1402434061\t30.940000\n1402434662\t30.940000\n1402435263\t30.940000\n1402435863\t31.000000\n1402436464\t31.000000\n1402437064\t31.000000\n1402437665\t31.000000\n1402438265\t31.000000\n1402438866\t31.060000\n1402439466\t31.060000\n1402440067\t31.060000\n1402440667\t31.060000\n1402441268\t31.060000\n1402441883\t31.060000\n1402442484\t31.060000\n1402443085\t31.060000\n1402443685\t31.060000\n1402444286\t31.060000\n1402444886\t31.120000\n1402445487\t31.060000\n1402446087\t31.120000\n1402446688\t31.120000\n1402447289\t31.120000\n1402447889\t31.120000\n1402448490\t31.120000\n1402449090\t31.120000\n1402449691\t31.120000\n1402450291\t31.120000\n1402450892\t31.120000\n1402451492\t31.190000\n1402452093\t31.190000\n1402452693\t31.120000\n1402453294\t31.190000\n1402453894\t31.190000\n1402454495\t31.190000\n1402455095\t31.120000\n1402455696\t31.120000\n1402456297\t31.060000\n1402456897\t31.060000\n1402457498\t31.060000\n1402458098\t31.120000\n1402458699\t31.120000\n1402459299\t31.190000\n1402459900\t31.250000\n1402460515\t31.250000\n1402461116\t31.250000\n1402461716\t31.250000\n1402462317\t31.250000\n1402462918\t31.190000\n1402463518\t31.250000\n1402464119\t31.250000\n1402464719\t31.310000\n1402465320\t31.310000\n1402465920\t31.310000\n1402466521\t31.310000\n1402467121\t31.310000\n1402467722\t31.310000\n1402468322\t31.310000\n1402468923\t31.310000\n1402469523\t31.310000\n1402470124\t31.310000\n1402470725\t31.250000\n1402471325\t31.250000\n1402471926\t31.250000\n1402472526\t31.250000\n1402473127\t31.250000\n1402473727\t31.250000\n1402474328\t31.190000\n1402474928\t31.190000\n1402475529\t31.190000\n1402476129\t31.190000\n1402476730\t31.190000\n1402477330\t31.250000\n1402477931\t31.190000\n1402478546\t31.250000\n1402479147\t31.250000\n1402479747\t31.250000\n1402480348\t30.620000\n1402480948\t29.500000\n1402481549\t28.940000\n1402482149\t28.560000\n1402482750\t28.440000\n1402483351\t29.310000\n1402483951\t29.880000\n1402484552\t30.190000\n1402485152\t30.380000\n1402485753\t30.380000\n1402486353\t30.440000\n1402486954\t30.620000\n1402487554\t30.690000\n1402488155\t30.810000\n1402488755\t30.810000\n1402489356\t30.940000\n1402489956\t31.000000\n1402490557\t30.500000\n1402491158\t28.380000\n1402491758\t27.620000\n1402492359\t27.000000\n1402492959\t26.620000\n1402493560\t26.500000\n1402494160\t26.310000\n1402494761\t26.250000\n1402495361\t26.190000\n1402495962\t26.120000\n1402496562\t26.060000\n1402497163\t26.000000\n1402497779\t25.940000\n1402498379\t25.880000\n1402498980\t25.880000\n1402499580\t25.810000\n1402500181\t26.560000\n1402500781\t27.620000\n1402501382\t28.250000\n1402501982\t28.690000\n1402502583\t28.940000\n1402503183\t29.120000\n1402503784\t29.310000\n1402504384\t29.440000\n1402504985\t29.560000\n1402505585\t29.620000\n1402506186\t29.690000\n1402506786\t29.750000\n1402507387\t29.810000\n1402507987\t29.940000\n1402508588\t29.940000\n1402509188\t30.060000\n1402509789\t30.120000\n1402510390\t30.190000\n1402510990\t30.250000\n1402511591\t30.310000\n1402512191\t30.440000\n1402512792\t30.500000\n1402513392\t30.500000\n1402513993\t30.500000\n1402514593\t30.500000\n1402515209\t30.620000\n1402515809\t30.620000\n1402516410\t30.690000\n1402517010\t30.690000\n1402517611\t30.690000\n1402518211\t30.690000\n1402518812\t30.690000\n1402519413\t30.690000\n1402520013\t30.690000\n1402520614\t30.690000\n1402521214\t30.690000\n1402521815\t30.750000\n1402522415\t30.810000\n1402523016\t30.810000\n1402523616\t30.810000\n1402524217\t30.810000\n1402524817\t30.810000\n1402525418\t30.880000\n1402526018\t30.880000\n1402526619\t30.880000\n1402527219\t30.880000\n1402527820\t30.940000\n1402528420\t30.880000\n1402529021\t30.940000\n1402529622\t30.940000\n1402530222\t30.940000\n1402530823\t30.940000\n1402531423\t30.940000\n1402532024\t30.940000\n1402532624\t30.940000\n1402533240\t30.940000\n1402533840\t30.940000\n1402534441\t30.940000\n1402535041\t30.940000\n1402535642\t30.940000\n1402536242\t31.000000\n1402536843\t31.000000\n1402537443\t31.000000\n1402538044\t31.000000\n1402538645\t31.000000\n1402539245\t31.000000\n1402539846\t31.000000\n1402540446\t31.000000\n1402541047\t30.940000\n1402541647\t30.940000\n1402542248\t30.880000\n1402542848\t30.880000\n1402543449\t30.880000\n1402544049\t30.940000\n1402544650\t30.940000\n1402545250\t30.940000\n1402545851\t30.940000\n1402546451\t31.000000\n1402547052\t31.000000\n1402547653\t31.000000\n1402548253\t31.000000\n1402548854\t31.000000\n1402549454\t31.000000\n1402550055\t30.880000\n1402550670\t30.880000\n1402551271\t30.810000\n1402551871\t30.810000\n1402552472\t30.880000\n1402553072\t30.880000\n1402553673\t30.880000\n1402554273\t30.880000\n1402554874\t30.940000\n1402555475\t30.940000\n1402556075\t30.940000\n1402556676\t31.060000\n1402557276\t31.060000\n1402557877\t31.120000\n1402558477\t31.060000\n1402559078\t31.060000\n1402559678\t31.060000\n1402560279\t31.000000\n1402560879\t31.060000\n1402561480\t31.060000\n1402562080\t31.060000\n1402562681\t31.060000\n1402563281\t31.060000\n1402563882\t31.060000\n1402564483\t31.060000\n1402565083\t31.000000\n1402565684\t31.060000\n1402566284\t31.060000\n1402566885\t31.060000\n1402567485\t31.060000\n1402568101\t31.120000\n1402568701\t31.000000\n1402569302\t31.000000\n1402569902\t31.060000\n1402570503\t31.060000\n1402571103\t31.120000\n1402571704\t31.120000\n1402572305\t31.120000\n1402572905\t31.120000\n1402573506\t31.120000\n1402574106\t31.120000\n1402574707\t31.120000\n1402575307\t31.120000\n1402575908\t31.000000\n1402576508\t31.120000\n1402577109\t31.060000\n1402577709\t31.000000\n1402578310\t30.120000\n1402578910\t29.690000\n1402579511\t29.380000\n1402580111\t29.190000\n1402580712\t29.000000\n1402581313\t28.560000\n1402581913\t27.750000\n1402582514\t27.440000\n1402583114\t27.250000\n1402583715\t27.060000\n1402584315\t27.440000\n1402584916\t28.500000\n1402585516\t29.120000\n1402586132\t29.440000\n1402586732\t29.620000\n1402587333\t29.810000\n1402587934\t29.940000\n1402588534\t30.000000\n1402589134\t30.060000\n1402589735\t30.190000\n1402590336\t30.250000\n1402590936\t30.310000\n1402591537\t30.380000\n1402592137\t30.500000\n1402592738\t30.560000\n1402593338\t30.500000\n1402593939\t30.500000\n1402594539\t30.560000\n1402595140\t30.560000\n1402595740\t30.620000\n1402596341\t30.690000\n1402596942\t30.690000\n1402597542\t30.750000\n1402598143\t30.810000\n1402598743\t30.810000\n1402599344\t30.880000\n1402599944\t30.880000\n1402600545\t30.940000\n1402601145\t30.880000\n1402601746\t30.940000\n1402602346\t30.940000\n1402602947\t30.940000\n1402603547\t30.940000\n1402604148\t31.000000\n1402604763\t31.000000\n1402605364\t31.000000\n1402605965\t31.000000\n1402606565\t31.060000\n1402607166\t31.060000\n1402607766\t31.000000\n1402608367\t31.060000\n1402608967\t31.060000\n1402609568\t31.060000\n1402610168\t31.060000\n1402610769\t31.060000\n1402611369\t31.120000\n1402611970\t31.120000\n1402612570\t31.120000\n1402613171\t31.120000\n1402613771\t31.120000\n1402614372\t31.120000\n1402614973\t31.120000\n1402615573\t31.120000\n1402616174\t31.190000\n1402616774\t31.120000\n1402617375\t31.190000\n1402617975\t31.190000\n1402618576\t31.190000\n1402619176\t31.190000\n1402619777\t31.190000\n1402620377\t31.190000\n1402620978\t31.190000\n1402621578\t31.190000\n1402622179\t31.190000\n1402622794\t31.190000\n1402623395\t31.190000\n1402623995\t31.190000\n1402624596\t31.190000\n1402625197\t31.190000\n1402625797\t31.190000\n1402626398\t31.190000\n1402626998\t31.190000\n1402627599\t31.190000\n1402628199\t31.190000\n1402628800\t31.190000\n1402629400\t31.190000\n1402630001\t31.190000\n1402630601\t31.190000\n1402631202\t31.120000\n1402631802\t31.120000\n1402632403\t31.120000\n1402633003\t31.120000\n1402633604\t31.120000\n1402634204\t31.190000\n1402634805\t31.120000\n1402635406\t31.190000\n1402636006\t31.190000\n1402636607\t31.190000\n1402637207\t31.190000\n1402637808\t31.190000\n1402638408\t31.190000\n1402639009\t31.190000\n1402639609\t31.190000\n1402640210\t31.190000\n1402640810\t31.190000\n1402641426\t31.190000\n1402642026\t31.190000\n1402642627\t31.190000\n1402643227\t31.250000\n1402643828\t31.190000\n1402644429\t31.190000\n1402645029\t31.250000\n1402645630\t31.250000\n1402646230\t31.250000\n1402646831\t31.250000\n1402647431\t31.250000\n1402648032\t31.250000\n1402648632\t31.250000\n1402649233\t31.250000\n1402649833\t31.250000\n1402650434\t31.250000\n1402651034\t31.250000\n1402651635\t31.250000\n1402652236\t31.310000\n1402652836\t31.250000\n1402653437\t31.310000\n1402654037\t31.250000\n1402654638\t31.310000\n1402655238\t31.310000\n1402655839\t31.250000\n1402656439\t31.250000\n1402657040\t31.250000\n1402657640\t31.250000\n1402658241\t31.310000\n1402658841\t31.310000\n1402659442\t31.310000\n1402660042\t31.310000\n1402660658\t31.310000\n1402661258\t31.310000\n1402661859\t31.310000\n1402662460\t31.310000\n1402663060\t31.310000\n1402663661\t31.310000\n1402664261\t31.310000\n1402664862\t31.310000\n1402665462\t31.310000\n1402666063\t31.250000\n1402666663\t31.310000\n1402667264\t31.310000\n1402667864\t31.310000\n1402668465\t31.310000\n1402669065\t31.310000\n1402669666\t31.310000\n1402670266\t31.380000\n1402670867\t31.310000\n1402671467\t31.310000\n1402672068\t31.310000\n1402672668\t31.310000\n1402673269\t31.310000\n1402673870\t31.310000\n1402674470\t31.310000\n1402675071\t31.310000\n1402675671\t31.310000\n1402676272\t31.310000\n1402676872\t31.310000\n1402677473\t31.310000\n1402678073\t31.310000\n1402678674\t31.310000\n1402679274\t31.250000\n1402679875\t31.250000\n1402680490\t31.250000\n1402681091\t31.250000\n1402681692\t31.250000\n1402682292\t31.310000\n1402682893\t31.250000\n1402683493\t31.250000\n1402684094\t31.250000\n1402684694\t31.250000\n1402685295\t31.250000\n1402685895\t31.250000\n1402686496\t31.250000\n1402687096\t31.190000\n1402687697\t31.250000\n1402688297\t31.190000\n1402688898\t31.250000\n1402689498\t31.250000\n1402690099\t31.250000\n1402690700\t31.190000\n1402691300\t31.250000\n1402691901\t31.250000\n1402692501\t31.250000\n1402693102\t31.250000\n1402693702\t31.190000\n1402694303\t31.250000\n1402694903\t31.250000\n1402695504\t31.190000\n1402696104\t31.190000\n1402696705\t31.190000\n1402697305\t31.190000\n1402697906\t31.190000\n1402698506\t31.190000\n1402699107\t31.190000\n1402699708\t31.190000\n1402700308\t31.190000\n1402700909\t31.190000\n1402701524\t31.190000\n1402702125\t31.120000\n1402702725\t31.190000\n1402703326\t31.120000\n1402703926\t31.120000\n1402704527\t31.120000\n1402705127\t31.120000\n1402705728\t31.060000\n1402706329\t31.120000\n1402706929\t31.120000\n1402707530\t31.120000\n1402708130\t31.060000\n1402708731\t31.060000\n1402709331\t31.060000\n1402709932\t31.060000\n1402710532\t31.060000\n1402711133\t31.060000\n1402711733\t31.060000\n1402712334\t31.000000\n1402712934\t31.000000\n1402713535\t31.000000\n1402714136\t31.000000\n1402714736\t30.940000\n1402715337\t30.940000\n1402715937\t30.940000\n1402716538\t30.940000\n1402717138\t30.940000\n1402717739\t30.940000\n1402718339\t30.880000\n1402718940\t30.880000\n1402719540\t30.880000\n1402720156\t30.880000\n1402720756\t30.810000\n1402721357\t30.880000\n1402721957\t30.810000\n1402722558\t30.810000\n1402723159\t30.810000\n1402723759\t30.810000\n1402724360\t30.750000\n1402724960\t30.750000\n1402725561\t30.750000\n1402726161\t30.690000\n1402726762\t30.690000\n1402727362\t30.750000\n1402727963\t30.690000\n1402728563\t30.690000\n1402729164\t30.620000\n1402729765\t30.620000\n1402730365\t30.620000\n1402730966\t30.620000\n1402731566\t30.620000\n1402732167\t30.620000\n1402732767\t30.620000\n1402733368\t30.620000\n1402733968\t30.620000\n1402734569\t30.620000\n1402735169\t30.620000\n1402735770\t30.620000\n1402736370\t30.620000\n1402736986\t30.620000\n1402737587\t30.620000\n1402738187\t30.620000\n1402738788\t30.560000\n1402739388\t30.620000\n1402739989\t30.560000\n1402740589\t30.500000\n1402741190\t30.500000\n1402741790\t30.500000\n1402742391\t30.500000\n1402742991\t30.560000\n1402743592\t30.560000\n1402744192\t30.560000\n1402744793\t30.560000\n1402745393\t30.560000\n1402745994\t30.560000\n1402746595\t30.500000\n1402747195\t30.500000\n1402747796\t30.500000\n1402748396\t30.560000\n1402748997\t30.500000\n1402749597\t30.560000\n1402750198\t30.560000\n1402750798\t30.560000\n1402751399\t30.560000\n1402751999\t30.560000\n1402752600\t30.560000\n1402753200\t30.560000\n1402753801\t30.560000\n1402754401\t30.560000\n1402755017\t30.560000\n1402755618\t30.500000\n1402756218\t30.500000\n1402756819\t30.500000\n1402757419\t29.250000\n1402758020\t26.620000\n1402758620\t25.690000\n1402759221\t25.000000\n1402759821\t24.690000\n1402760422\t24.440000\n1402761022\t24.250000\n1402761623\t24.120000\n1402762223\t24.000000\n1402762824\t23.880000\n1402763424\t23.750000\n1402764025\t23.620000\n1402764626\t23.560000\n1402765226\t23.440000\n1402765827\t23.380000\n1402766427\t23.250000\n1402767028\t23.120000\n1402767628\t23.060000\n1402768229\t22.880000\n1402768829\t22.750000\n1402769430\t22.620000\n1402770030\t22.560000\n1402770631\t22.440000\n1402771231\t22.310000\n1402771832\t22.190000\n1402772432\t22.120000\n1402773048\t22.750000\n1402773649\t24.380000\n1402774249\t25.310000\n1402774850\t25.880000\n1402775450\t26.310000\n1402776051\t26.620000\n1402776651\t26.880000\n1402777252\t27.060000\n1402777852\t27.250000\n1402778453\t27.440000\n1402779053\t27.560000\n1402779654\t27.620000\n1402780254\t27.690000\n1402780855\t27.810000\n1402781456\t27.880000\n1402782056\t27.940000\n1402782656\t28.000000\n1402783257\t28.000000\n1402783858\t28.060000\n1402784458\t28.120000\n1402785059\t28.190000\n1402785659\t28.250000\n1402786260\t28.250000\n1402786860\t28.250000\n1402787461\t28.250000\n1402788061\t28.310000\n1402788662\t28.310000\n1402789262\t28.380000\n1402789878\t28.380000\n1402790478\t28.380000\n1402791079\t28.380000\n1402791680\t28.380000\n1402792280\t28.440000\n1402792881\t28.440000\n1402793481\t28.440000\n1402794082\t28.440000\n1402794682\t28.440000\n1402795283\t28.440000\n1402795883\t28.440000\n1402796484\t28.440000\n1402797084\t28.500000\n1402797685\t28.440000\n1402798285\t28.440000\n1402798886\t28.440000\n1402799487\t28.440000\n1402800087\t28.500000\n1402800688\t28.500000\n1402801288\t28.440000\n1402801889\t28.440000\n1402802489\t28.500000\n1402803090\t28.500000\n1402803690\t28.500000\n1402804291\t28.500000\n1402804891\t28.500000\n1402805492\t28.560000\n1402806092\t28.500000\n1402806693\t28.560000\n1402807294\t28.560000\n1402807894\t28.560000\n1402808495\t28.620000\n1402809110\t28.620000\n1402809711\t28.620000\n1402810311\t28.620000\n1402810912\t28.690000\n1402811512\t28.690000\n1402812113\t28.690000\n1402812713\t28.750000\n1402813314\t28.750000\n1402813915\t28.750000\n1402814515\t28.810000\n1402815116\t28.750000\n1402815716\t28.810000\n1402816317\t28.810000\n1402816917\t28.810000\n1402817518\t28.880000\n1402818118\t28.880000\n1402818719\t28.810000\n1402819319\t28.880000\n1402819920\t28.880000\n1402820520\t28.880000\n1402821121\t28.940000\n1402821722\t28.940000\n1402822322\t28.940000\n1402822923\t28.880000\n1402823523\t28.940000\n1402824124\t28.940000\n1402824724\t28.940000\n1402825325\t29.000000\n1402825925\t28.940000\n1402826526\t29.000000\n1402827141\t28.940000\n1402827742\t29.000000\n1402828342\t29.000000\n1402828943\t28.940000\n1402829543\t28.940000\n1402830144\t28.940000\n1402830745\t29.000000\n1402831345\t29.000000\n1402831946\t29.060000\n1402832546\t29.000000\n1402833147\t29.060000\n1402833747\t27.120000\n1402834348\t25.940000\n1402834948\t25.440000\n1402835549\t25.250000\n1402836149\t25.750000\n1402836750\t26.750000\n1402837350\t27.310000\n1402837951\t27.620000\n1402838551\t27.880000\n1402839152\t28.000000\n1402839752\t28.190000\n1402840353\t28.310000\n1402840953\t28.380000\n1402841554\t28.380000\n1402842154\t28.310000\n1402842755\t28.380000\n1402843356\t28.440000\n1402843956\t28.440000\n1402844557\t28.440000\n1402845172\t28.500000\n1402845773\t28.560000\n1402846373\t28.690000\n1402846974\t28.690000\n1402847574\t28.810000\n1402848175\t28.810000\n1402848775\t28.880000\n1402849376\t28.880000\n1402849976\t28.810000\n1402850577\t28.810000\n1402851177\t28.810000\n1402851778\t28.880000\n1402852378\t28.880000\n1402852979\t28.940000\n1402853579\t28.940000\n1402854180\t28.940000\n1402854781\t28.940000\n1402855381\t28.940000\n1402855982\t28.940000\n1402856582\t29.000000\n1402857183\t29.000000\n1402857783\t29.060000\n1402858384\t28.750000\n1402858984\t28.880000\n1402859585\t29.000000\n1402860185\t29.000000\n1402860786\t29.060000\n1402861386\t29.120000\n1402861987\t29.120000\n1402862587\t29.120000\n1402863203\t29.120000\n1402863803\t29.190000\n1402864404\t29.190000\n1402865004\t29.190000\n1402865605\t29.250000\n1402866205\t29.250000\n1402866806\t29.250000\n1402867406\t29.250000\n1402868007\t29.250000\n1402868608\t29.310000\n1402869208\t29.310000\n1402869809\t29.310000\n1402870409\t29.310000\n1402871010\t29.380000\n1402871610\t29.380000\n1402872211\t29.380000\n1402872811\t29.380000\n1402873412\t29.380000\n1402874012\t29.380000\n1402874613\t29.380000\n1402875213\t29.440000\n1402875814\t29.440000\n1402876415\t29.380000\n1402877015\t29.440000\n1402877616\t29.440000\n1402878216\t29.440000\n1402878817\t29.440000\n1402879417\t29.440000\n1402880018\t29.440000\n1402880633\t29.440000\n1402881234\t29.440000\n1402881834\t29.440000\n1402882435\t29.440000\n1402883036\t29.440000\n1402883636\t29.440000\n1402884237\t29.500000\n1402884837\t29.440000\n1402885438\t29.440000\n1402886038\t29.440000\n1402886639\t29.440000\n1402887239\t29.440000\n1402887840\t29.440000\n1402888440\t29.440000\n1402889041\t29.440000\n1402889641\t29.440000\n1402890242\t29.440000\n1402890843\t29.440000\n1402891443\t29.440000\n1402892044\t29.440000\n1402892644\t29.440000\n1402893245\t29.440000\n1402893845\t29.500000\n1402894446\t29.500000\n1402895046\t29.500000\n1402895647\t29.500000\n1402896247\t29.500000\n1402896848\t29.500000\n1402897448\t29.440000\n1402898049\t29.500000\n1402898649\t29.500000\n1402899265\t29.500000\n1402899866\t29.500000\n1402900466\t29.500000\n1402901067\t29.500000\n1402901667\t29.500000\n1402902268\t29.500000\n1402902868\t29.500000\n1402903469\t29.500000\n1402904069\t29.000000\n1402904670\t26.250000\n1402905270\t25.000000\n1402905871\t24.310000\n1402906471\t23.940000\n1402907072\t23.620000\n1402907672\t23.440000\n1402908273\t23.310000\n1402908873\t23.190000\n1402909474\t23.060000\n1402910075\t23.060000\n1402910675\t23.120000\n1402911276\t23.060000\n1402911876\t23.250000\n1402912477\t23.380000\n1402913077\t23.440000\n1402913678\t23.380000\n1402914278\t23.500000\n1402914879\t23.560000\n1402915479\t23.500000\n1402916080\t23.500000\n1402916681\t23.440000\n1402917296\t23.380000\n1402917897\t23.310000\n1402918497\t23.310000\n1402919098\t23.310000\n1402919698\t23.380000\n1402920299\t23.440000\n1402920899\t23.500000\n1402921500\t23.500000\n1402922100\t23.500000\n1402922701\t23.440000\n1402923301\t23.380000\n1402923902\t23.310000\n1402924503\t23.380000\n1402925103\t23.380000\n1402925704\t24.690000\n1402926304\t25.440000\n1402926905\t25.880000\n1402927505\t26.190000\n1402928106\t26.380000\n1402928706\t26.560000\n1402929307\t26.750000\n1402929907\t26.880000\n1402930508\t26.940000\n1402931108\t27.060000\n1402931709\t27.120000\n1402932309\t27.190000\n1402932910\t27.310000\n1402933511\t27.380000\n1402934111\t27.440000\n1402934712\t27.440000\n1402935327\t27.440000\n1402935928\t27.500000\n1402936528\t27.560000\n1402937129\t27.620000\n1402937729\t27.620000\n1402938330\t27.690000\n1402938930\t27.690000\n1402939531\t27.750000\n1402940131\t27.750000\n1402940732\t27.810000\n1402941332\t27.880000\n1402941933\t27.880000\n1402942534\t27.880000\n1402943134\t27.940000\n1402943735\t27.940000\n1402944335\t27.940000\n1402944936\t27.940000\n1402945536\t27.940000\n1402946137\t28.000000\n1402946737\t28.000000\n1402947338\t28.060000\n1402947938\t28.060000\n1402948539\t28.060000\n1402949139\t28.060000\n1402949740\t28.060000\n1402950341\t28.120000\n1402950941\t28.190000\n1402951542\t28.120000\n1402952142\t28.060000\n1402952743\t28.120000\n1402953343\t28.190000\n1402953959\t28.120000\n1402954559\t28.120000\n1402955160\t28.190000\n1402955760\t28.250000\n1402956361\t28.190000\n1402956962\t28.250000\n1402957562\t28.250000\n1402958163\t28.250000\n1402958763\t28.250000\n1402959364\t28.250000\n1402959964\t28.250000\n1402960565\t28.250000\n1402961165\t28.250000\n1402961766\t28.250000\n1402962366\t28.250000\n1402962967\t28.310000\n1402963567\t28.310000\n1402964168\t28.310000\n1402964768\t28.310000\n1402965369\t28.310000\n1402965969\t28.310000\n1402966570\t28.250000\n1402967171\t28.310000\n1402967771\t28.310000\n1402968372\t28.310000\n1402968972\t28.310000\n1402969573\t28.310000\n1402970173\t28.310000\n1402970774\t28.310000\n1402971374\t28.310000\n1402971975\t28.310000\n1402972575\t28.310000\n1402973191\t28.310000\n1402973791\t28.310000\n1402974392\t28.310000\n1402974993\t28.310000\n1402975593\t28.310000\n1402976194\t28.380000\n1402976794\t28.380000\n1402977395\t28.380000\n1402977995\t28.380000\n1402978596\t28.380000\n1402979196\t28.380000\n1402979797\t28.380000\n1402980397\t28.380000\n1402980998\t28.380000\n1402981598\t28.380000\n1402982199\t28.310000\n1402982800\t28.380000\n1402983400\t28.380000\n1402984001\t28.380000\n1402984601\t28.380000\n1402985202\t28.380000\n1402985802\t28.380000\n1402986403\t28.380000\n1402987003\t28.380000\n1402987604\t28.380000\n1402988204\t28.380000\n1402988805\t28.440000\n1402989405\t28.380000\n1402990006\t28.380000\n1402990622\t28.380000\n1402991222\t28.310000\n1402991823\t28.380000\n1402992423\t28.310000\n1402993024\t28.310000\n1402993624\t28.120000\n1402994225\t28.250000\n1402994825\t28.310000\n1402995426\t28.250000\n1402996026\t28.310000\n1402996627\t28.310000\n1402997228\t28.310000\n1402997828\t28.310000\n1402998429\t28.310000\n1402999029\t28.310000\n1402999630\t28.310000\n1403000230\t28.380000\n1403000831\t28.380000\n1403001431\t28.380000\n1403002032\t28.380000\n1403002632\t28.380000\n1403003233\t28.380000\n1403003833\t28.380000\n1403004434\t28.440000\n1403005034\t28.440000\n1403005635\t28.440000\n1403006236\t28.500000\n1403006836\t28.440000\n1403007437\t28.440000\n1403008037\t28.500000\n1403008638\t28.500000\n1403009238\t28.500000\n1403009854\t28.500000\n1403010454\t28.560000\n1403011055\t28.560000\n1403011655\t28.560000\n1403012256\t28.560000\n1403012857\t28.560000\n1403013457\t28.560000\n1403014058\t28.560000\n1403014658\t28.560000\n1403015259\t28.620000\n1403015859\t28.620000\n1403016460\t28.620000\n1403017060\t28.620000\n1403017661\t28.560000\n1403018261\t28.620000\n1403018862\t28.620000\n1403019462\t28.620000\n1403020063\t28.620000\n1403020664\t28.560000\n1403021264\t28.500000\n1403021865\t28.500000\n1403022465\t28.500000\n1403023066\t28.440000\n1403023666\t28.440000\n1403024267\t28.440000\n1403024867\t28.440000\n1403025468\t28.440000\n1403026068\t28.440000\n1403026669\t28.560000\n1403027269\t28.560000\n1403027885\t28.560000\n1403028485\t28.620000\n1403029086\t28.620000\n1403029687\t28.620000\n1403030287\t28.690000\n1403030888\t28.690000\n1403031488\t28.750000\n1403032089\t28.690000\n1403032689\t28.690000\n1403033290\t28.750000\n1403033890\t28.750000\n1403034491\t28.750000\n1403035091\t28.750000\n1403035692\t28.750000\n1403036292\t28.750000\n1403036893\t28.750000\n1403037493\t28.750000\n1403038094\t28.690000\n1403038695\t28.750000\n1403039295\t28.690000\n1403039896\t28.690000\n1403040496\t28.690000\n1403041097\t28.750000\n1403041697\t28.750000\n1403042298\t28.810000\n1403042898\t28.750000\n1403043499\t28.750000\n1403044099\t28.880000\n1403044700\t28.880000\n1403045300\t28.880000\n1403045901\t28.880000\n1403046517\t28.880000\n1403047117\t28.880000\n1403047718\t28.880000\n1403048318\t28.880000\n1403048919\t28.880000\n1403049519\t28.880000\n1403050120\t28.880000\n1403050720\t28.810000\n1403051321\t28.810000\n1403051921\t28.880000\n1403052522\t28.880000\n1403053122\t28.880000\n1403053723\t28.880000\n1403054323\t28.880000\n1403054924\t28.880000\n1403055524\t28.880000\n1403056125\t28.880000\n1403056725\t28.810000\n1403057326\t28.810000\n1403057927\t28.810000\n1403058527\t28.810000\n1403059128\t28.810000\n1403059728\t28.810000\n1403060329\t28.810000\n1403060929\t28.810000\n1403061530\t28.880000\n1403062130\t28.810000\n1403062731\t28.880000\n1403063331\t28.880000\n1403063947\t28.880000\n1403064547\t28.880000\n1403065148\t28.880000\n1403065748\t28.880000\n1403066349\t28.880000\n1403066950\t28.940000\n1403067550\t28.940000\n1403068151\t28.940000\n1403068751\t28.940000\n1403069352\t28.940000\n1403069952\t28.940000\n1403070553\t28.940000\n1403071153\t29.000000\n1403071754\t29.000000\n1403072354\t29.000000\n1403072955\t28.940000\n1403073555\t28.880000\n1403074156\t28.940000\n1403074756\t28.940000\n1403075357\t28.940000\n1403075957\t28.940000\n1403076558\t28.940000\n1403077159\t28.940000\n1403077759\t28.940000\n1403078360\t28.940000\n1403078960\t28.940000\n1403079561\t26.690000\n1403080161\t25.440000\n1403080762\t24.810000\n1403081362\t25.310000\n1403081963\t26.560000\n1403082563\t27.120000\n1403083164\t27.500000\n1403083764\t27.750000\n1403084380\t27.940000\n1403084980\t28.060000\n1403085581\t28.120000\n1403086182\t28.250000\n1403086782\t28.310000\n1403087383\t28.380000\n1403087983\t28.440000\n1403088584\t28.500000\n1403089184\t28.560000\n1403089785\t28.620000\n1403090385\t28.620000\n1403090986\t28.690000\n1403091586\t28.750000\n1403092187\t28.750000\n1403092787\t28.750000\n1403093388\t28.060000\n1403093988\t27.190000\n1403094589\t26.880000\n1403095189\t26.560000\n1403095790\t26.440000\n1403096391\t26.380000\n1403096991\t26.310000\n1403097592\t26.250000\n1403098192\t26.250000\n1403098793\t26.250000\n1403099393\t26.190000\n1403099994\t26.190000\n1403100594\t26.120000\n1403101195\t26.620000\n1403101795\t27.250000\n1403102396\t27.560000\n1403102996\t27.810000\n1403103597\t28.000000\n1403104198\t28.060000\n1403104813\t28.190000\n1403105414\t28.250000\n1403106014\t28.380000\n1403106615\t28.380000\n1403107215\t28.440000\n1403107816\t28.500000\n1403108416\t28.560000\n1403109017\t28.620000\n1403109617\t28.690000\n1403110218\t28.690000\n1403110818\t28.690000\n1403111419\t28.750000\n1403112019\t28.750000\n1403112620\t28.750000\n1403113220\t28.750000\n1403113821\t28.810000\n1403114421\t28.810000\n1403115022\t28.880000\n1403115622\t28.880000\n1403116223\t28.880000\n1403116824\t28.940000\n1403117424\t28.940000\n1403118025\t29.000000\n1403118625\t28.940000\n1403119226\t28.940000\n1403119826\t29.000000\n1403120427\t29.000000\n1403121027\t28.940000\n1403121643\t29.000000\n1403122243\t29.000000\n1403122844\t29.060000\n1403123444\t29.060000\n1403124045\t29.120000\n1403124646\t29.120000\n1403125246\t29.120000\n1403125847\t29.120000\n1403126447\t29.060000\n1403127048\t29.120000\n1403127648\t29.120000\n1403128249\t29.120000\n1403128849\t29.120000\n1403129450\t29.190000\n1403130050\t29.190000\n1403130651\t29.190000\n1403131251\t29.250000\n1403131852\t29.250000\n1403132453\t29.250000\n1403133053\t29.250000\n1403133654\t29.250000\n1403134254\t29.250000\n1403134855\t29.250000\n1403135455\t29.250000\n1403136056\t29.190000\n1403136656\t29.190000\n1403137257\t29.190000\n1403137857\t29.250000\n1403138458\t29.250000\n1403139059\t29.250000\n1403139659\t29.250000\n1403140260\t29.250000\n1403140875\t29.190000\n1403141476\t29.120000\n1403142076\t29.120000\n1403142677\t29.060000\n1403143277\t29.060000\n1403143878\t29.060000\n1403144478\t29.060000\n1403145079\t29.000000\n1403145679\t29.000000\n1403146280\t29.060000\n1403146880\t29.060000\n1403147481\t29.060000\n1403148081\t29.060000\n1403148682\t29.060000\n1403149283\t29.120000\n1403149883\t29.120000\n1403150484\t29.120000\n1403151084\t29.120000\n1403151685\t29.120000\n1403152285\t29.190000\n1403152886\t29.190000\n1403153486\t29.190000\n1403154087\t29.190000\n1403154687\t29.190000\n1403155288\t29.190000\n1403155888\t29.190000\n1403156489\t29.190000\n1403157089\t29.190000\n1403157690\t29.190000\n1403158306\t29.120000\n1403158906\t29.000000\n1403159507\t29.000000\n1403160107\t28.940000\n1403160708\t28.940000\n1403161308\t28.880000\n1403161909\t28.880000\n1403162509\t28.940000\n1403163110\t28.940000\n1403163710\t28.940000\n1403164311\t28.880000\n1403164911\t28.880000\n1403165512\t28.880000\n1403166113\t28.880000\n1403166713\t28.880000\n1403167314\t28.810000\n1403167914\t28.810000\n1403168515\t28.810000\n1403169115\t28.810000\n1403169716\t28.750000\n1403170316\t28.620000\n1403170917\t28.690000\n1403171517\t28.690000\n1403172118\t28.690000\n1403172718\t28.690000\n1403173319\t28.620000\n1403173920\t28.620000\n1403174535\t28.690000\n1403175136\t28.690000\n1403175736\t28.690000\n1403176337\t28.690000\n1403176937\t28.690000\n1403177538\t28.750000\n1403178138\t28.750000\n1403178739\t28.750000\n1403179339\t28.810000\n1403179940\t28.810000\n1403180541\t28.810000\n1403181141\t28.810000\n1403181742\t28.750000\n1403182342\t28.810000\n1403182943\t28.810000\n1403183543\t28.880000\n1403184144\t28.880000\n1403184744\t28.880000\n1403185345\t28.880000\n1403185945\t28.940000\n1403186546\t28.940000\n1403187146\t26.620000\n1403187747\t24.620000\n1403188348\t23.880000\n1403188948\t23.440000\n1403189548\t23.060000\n1403190149\t24.120000\n1403190750\t25.560000\n1403191350\t26.310000\n1403191951\t26.810000\n1403192551\t27.120000\n1403193167\t27.380000\n1403193767\t27.560000\n1403194368\t27.690000\n1403194968\t27.810000\n1403195569\t27.880000\n1403196169\t28.000000\n1403196770\t28.060000\n1403197370\t28.120000\n1403197971\t28.190000\n1403198571\t28.190000\n1403199172\t28.190000\n1403199772\t28.250000\n1403200373\t28.310000\n1403200974\t28.310000\n1403201574\t28.380000\n1403202175\t28.380000\n1403202775\t28.380000\n1403203376\t28.380000\n1403203976\t28.440000\n1403204577\t28.500000\n1403205177\t28.500000\n1403205778\t28.500000\n1403206378\t28.500000\n1403206979\t28.440000\n1403207579\t28.440000\n1403208180\t28.500000\n1403208781\t28.500000\n1403209381\t28.560000\n1403209982\t28.560000\n1403210582\t28.560000\n1403211183\t28.560000\n1403211798\t28.560000\n1403212399\t28.560000\n1403212999\t28.560000\n1403213600\t28.560000\n1403214200\t28.500000\n1403214801\t28.500000\n1403215401\t28.500000\n1403216002\t28.500000\n1403216602\t28.560000\n1403217203\t28.560000\n1403217803\t28.560000\n1403218404\t28.560000\n1403219004\t28.560000\n1403219605\t28.560000\n1403220205\t28.620000\n1403220806\t28.560000\n1403221407\t28.560000\n1403222007\t28.560000\n1403222608\t28.560000\n1403223208\t28.560000\n1403223809\t28.560000\n1403224409\t28.500000\n1403225010\t28.560000\n1403225610\t28.560000\n1403226211\t28.620000\n1403226811\t28.620000\n1403227412\t28.560000\n1403228012\t28.560000\n1403228613\t28.560000\n1403229229\t28.560000\n1403229829\t28.560000\n1403230430\t28.560000\n1403231030\t28.560000\n1403231631\t28.560000\n1403232231\t28.500000\n1403232832\t28.440000\n1403233432\t28.440000\n1403234033\t28.500000\n1403234633\t28.500000\n1403235234\t28.500000\n1403235835\t28.500000\n1403236435\t28.500000\n1403237036\t28.500000\n1403237636\t28.440000\n1403238237\t28.440000\n1403238837\t28.440000\n1403239438\t28.440000\n1403240038\t28.440000\n1403240639\t28.440000\n1403241239\t28.380000\n1403241840\t28.380000\n1403242440\t28.380000\n1403243041\t28.380000\n1403243642\t28.310000\n1403244242\t28.310000\n1403244843\t28.310000\n1403245443\t28.250000\n1403246044\t28.310000\n1403246644\t28.310000\n1403247260\t28.250000\n1403247860\t28.250000\n1403248461\t28.250000\n1403249062\t28.310000\n1403249662\t28.250000\n1403250263\t28.250000\n1403250863\t28.190000\n1403251464\t28.190000\n1403252064\t28.190000\n1403252665\t28.190000\n1403253265\t28.120000\n1403253866\t27.750000\n1403254466\t27.940000\n1403255067\t28.000000\n1403255667\t28.060000\n1403256268\t28.060000\n1403256869\t28.120000\n1403257469\t28.120000\n1403258070\t28.120000\n1403258670\t28.120000\n1403259271\t28.120000\n1403259871\t28.120000\n1403260472\t28.190000\n1403261072\t28.190000\n1403261673\t28.190000\n1403262273\t28.250000\n1403262874\t28.250000\n1403263474\t28.250000\n1403264075\t28.250000\n1403264675\t28.310000\n1403265276\t28.250000\n1403265892\t28.250000\n1403266492\t28.250000\n1403267093\t28.250000\n1403267693\t28.250000\n1403268294\t28.310000\n1403268894\t28.310000\n1403269495\t28.310000\n1403270095\t28.310000\n1403270696\t28.310000\n1403271296\t28.310000\n1403271897\t28.310000\n1403272498\t28.310000\n1403273098\t28.310000\n1403273699\t28.250000\n1403274299\t28.250000\n1403274900\t28.250000\n1403275500\t28.250000\n1403276101\t27.440000\n1403276701\t27.810000\n1403277302\t28.000000\n1403277902\t28.120000\n1403278503\t28.190000\n1403279103\t28.250000\n1403279704\t28.310000\n1403280304\t28.310000\n1403280905\t28.380000\n1403281506\t28.380000\n1403282106\t28.380000\n1403282707\t28.380000\n1403283307\t28.380000\n1403283923\t28.380000\n1403284523\t28.380000\n1403285124\t28.380000\n1403285724\t28.380000\n1403286325\t28.380000\n1403286925\t28.440000\n1403287526\t28.380000\n1403288126\t28.380000\n1403288727\t28.440000\n1403289327\t28.380000\n1403289928\t28.380000\n1403290528\t28.380000\n1403291129\t28.380000\n1403291729\t28.380000\n1403292330\t28.380000\n1403292930\t28.380000\n1403293531\t28.380000\n1403294131\t28.310000\n1403294732\t28.310000\n1403295333\t28.310000\n1403295933\t28.250000\n1403296534\t28.250000\n1403297134\t28.310000\n1403297735\t28.250000\n1403298335\t28.250000\n1403298936\t28.310000\n1403299536\t28.250000\n1403300137\t28.250000\n1403300737\t28.250000\n1403301338\t28.190000\n1403301953\t28.190000\n1403302554\t28.190000\n1403303155\t28.190000\n1403303755\t28.190000\n1403304356\t28.190000\n1403304956\t28.190000\n1403305557\t28.190000\n1403306157\t28.250000\n1403306758\t28.250000\n1403307358\t28.190000\n1403307959\t28.250000\n1403308559\t28.250000\n1403309160\t28.250000\n1403309760\t28.250000\n1403310361\t28.250000\n1403310962\t28.250000\n1403311562\t28.250000\n1403312163\t28.250000\n1403312763\t28.190000\n1403313364\t28.120000\n1403313964\t28.120000\n1403314565\t28.120000\n1403315165\t28.060000\n1403315766\t28.060000\n1403316366\t28.000000\n1403316967\t28.000000\n1403317567\t28.000000\n1403318168\t27.940000\n1403318768\t27.940000\n1403319369\t27.940000\n1403319970\t27.940000\n1403320585\t27.940000\n1403321186\t27.940000\n1403321786\t27.940000\n1403322387\t28.000000\n1403322987\t28.000000\n1403323588\t28.000000\n1403324188\t28.000000\n1403324789\t28.000000\n1403325389\t28.000000\n1403325990\t28.000000\n1403326590\t28.000000\n1403327191\t28.000000\n1403327791\t28.000000\n1403328392\t27.940000\n1403328992\t27.940000\n1403329593\t27.940000\n1403330193\t27.940000\n1403330794\t27.940000\n1403331395\t27.880000\n1403331995\t27.940000\n1403332596\t27.940000\n1403333196\t27.940000\n1403333797\t27.880000\n1403334397\t27.880000\n1403335013\t27.880000\n1403335613\t27.880000\n1403336214\t27.880000\n1403336814\t27.880000\n1403337415\t27.880000\n1403338015\t27.880000\n1403338616\t27.880000\n1403339216\t27.880000\n1403339817\t27.880000\n1403340417\t27.880000\n1403341018\t27.880000\n1403341619\t27.880000\n1403342219\t27.880000\n1403342820\t27.940000\n1403343420\t27.940000\n1403344021\t27.940000\n1403344621\t27.940000\n1403345222\t27.940000\n1403345822\t27.940000\n1403346423\t27.940000\n1403347023\t27.940000\n1403347624\t28.000000\n1403348224\t28.000000\n1403348825\t28.000000\n1403349426\t28.000000\n1403350026\t28.000000\n1403350627\t28.000000\n1403351227\t28.060000\n1403351828\t28.000000\n1403352428\t28.060000\n1403353029\t28.060000\n1403353629\t28.060000\n1403354245\t28.060000\n1403354845\t28.060000\n1403355446\t28.060000\n1403356046\t28.060000\n1403356647\t28.000000\n1403357247\t28.060000\n1403357848\t28.060000\n1403358449\t28.060000\n1403359049\t28.060000\n1403359650\t28.060000\n1403360250\t28.000000\n1403360851\t28.000000\n1403361451\t28.000000\n1403362052\t28.060000\n1403362652\t28.060000\n1403363253\t28.060000\n1403363853\t28.060000\n1403364454\t28.060000\n1403365054\t28.060000\n1403365655\t28.060000\n1403366256\t28.060000\n1403366856\t28.060000\n1403367457\t28.060000\n1403368057\t28.000000\n1403368658\t28.060000\n1403369258\t28.060000\n1403369859\t28.060000\n1403370459\t28.060000\n1403371060\t28.060000\n1403371660\t28.060000\n1403372276\t28.060000\n1403372877\t28.060000\n1403373477\t28.060000\n1403374078\t28.060000\n1403374678\t28.060000\n1403375279\t28.060000\n1403375879\t28.000000\n1403376480\t28.060000\n1403377080\t28.060000\n1403377681\t28.060000\n1403378281\t28.000000\n1403378882\t27.940000\n1403379482\t27.940000\n1403380083\t27.940000\n1403380683\t28.000000\n1403381284\t27.940000\n1403381884\t27.940000\n1403382485\t27.940000\n1403383086\t27.940000\n1403383686\t27.880000\n1403384287\t27.940000\n1403384887\t27.940000\n1403385488\t27.880000\n1403386088\t27.880000\n1403386689\t27.880000\n1403387289\t27.880000\n1403387890\t27.880000\n1403388505\t27.810000\n1403389106\t27.880000\n1403389706\t27.880000\n1403390307\t27.880000\n1403390907\t27.880000\n1403391508\t27.880000\n1403392109\t27.880000\n1403392709\t27.880000\n1403393310\t27.880000\n1403393910\t27.810000\n1403394511\t27.810000\n1403395111\t27.810000\n1403395712\t27.750000\n1403396312\t27.750000\n1403396913\t27.750000\n1403397513\t27.750000\n1403398114\t27.750000\n1403398715\t27.750000\n1403399315\t27.750000\n1403399916\t27.690000\n1403400516\t27.690000\n1403401117\t27.690000\n1403401717\t27.750000\n1403402318\t27.750000\n1403402918\t27.750000\n1403403519\t27.750000\n1403404119\t27.750000\n1403404720\t27.690000\n1403405320\t27.690000\n1403405936\t27.690000\n1403406536\t27.690000\n1403407137\t27.620000\n1403407737\t27.690000\n1403408338\t27.620000\n1403408939\t27.690000\n1403409539\t27.620000\n1403410140\t27.620000\n1403410740\t27.620000\n1403411341\t27.620000\n1403411941\t27.620000\n1403412542\t27.620000\n1403413142\t27.620000\n1403413743\t27.620000\n1403414343\t27.620000\n1403414944\t27.620000\n1403415544\t27.620000\n1403416145\t27.620000\n1403416745\t27.560000\n1403417346\t27.560000\n1403417946\t27.620000\n1403418547\t27.620000\n1403419147\t27.620000\n1403419748\t27.620000\n1403420349\t27.620000\n1403420949\t27.620000\n1403421550\t27.620000\n1403422150\t27.500000\n1403422751\t27.500000\n1403423351\t27.560000\n1403423952\t27.560000\n1403424567\t27.500000\n1403425168\t27.500000\n1403425768\t27.500000\n1403426369\t27.500000\n1403426969\t27.560000\n1403427570\t27.560000\n1403428170\t27.500000\n1403428771\t27.500000\n1403429372\t27.560000\n1403429972\t27.500000\n1403430573\t27.560000\n1403431173\t27.560000\n1403431774\t27.560000\n1403432374\t27.620000\n1403432975\t27.560000\n1403433575\t27.560000\n1403434176\t27.620000\n1403434776\t27.560000\n1403435377\t27.560000\n1403435977\t27.560000\n1403436578\t27.620000\n1403437179\t27.620000\n1403437779\t27.560000\n1403438380\t27.560000\n1403438980\t27.560000\n1403439581\t27.620000\n1403440181\t27.620000\n1403440782\t27.620000\n1403441382\t27.620000\n1403441998\t27.690000\n1403442598\t27.620000\n1403443199\t27.690000\n1403443799\t27.620000\n1403444400\t27.690000\n1403445000\t27.690000\n1403445601\t27.620000\n1403446202\t27.560000\n1403446802\t27.620000\n1403447402\t27.690000\n1403448003\t27.690000\n1403448604\t27.690000\n1403449204\t27.690000\n1403449805\t27.690000\n1403450405\t27.620000\n1403451006\t27.690000\n1403451606\t27.690000\n1403452207\t27.690000\n1403452807\t27.690000\n1403453408\t27.690000\n1403454009\t27.620000\n1403454609\t27.620000\n1403455210\t27.690000\n1403455810\t27.620000\n1403456411\t27.620000\n1403457011\t27.690000\n1403457612\t27.620000\n1403458212\t27.620000\n1403458813\t27.620000\n1403459413\t27.620000\n1403460029\t27.620000\n1403460629\t27.620000\n1403461230\t27.620000\n1403461830\t27.620000\n1403462431\t27.620000\n1403463032\t27.620000\n1403463632\t27.620000\n1403464233\t27.620000\n1403464833\t27.620000\n1403465434\t27.620000\n1403466034\t27.620000\n1403466635\t27.620000\n1403467235\t27.620000\n1403467836\t27.620000\n1403468436\t27.620000\n1403469037\t27.620000\n1403469637\t27.620000\n1403470238\t27.620000\n1403470839\t27.560000\n1403471439\t27.560000\n1403472040\t27.560000\n1403472640\t27.560000\n1403473241\t27.560000\n1403473841\t27.560000\n1403474442\t27.500000\n1403475042\t27.500000\n1403475643\t27.560000\n1403476243\t27.560000\n1403476844\t27.560000\n1403477444\t27.500000\n1403478045\t27.500000\n1403478646\t27.500000\n1403479246\t27.500000\n1403479862\t27.440000\n1403480462\t27.440000\n1403481063\t27.500000\n1403481663\t27.440000\n1403482264\t27.440000\n1403482864\t27.440000\n1403483465\t27.380000\n1403484065\t27.380000\n1403484666\t27.380000\n1403485266\t27.440000\n1403485867\t27.380000\n1403486468\t27.310000\n1403487068\t27.310000\n1403487669\t27.310000\n1403488269\t27.250000\n1403488870\t27.190000\n1403489470\t27.250000\n1403490071\t27.190000\n1403490671\t27.190000\n1403491272\t27.120000\n1403491872\t27.120000\n1403492473\t27.120000\n1403493073\t27.120000\n1403493674\t27.120000\n1403494275\t27.190000\n1403494875\t27.190000\n1403495476\t27.120000\n1403496076\t27.190000\n1403496677\t27.190000\n1403497277\t27.190000\n1403497878\t27.190000\n1403498478\t27.190000\n1403499079\t27.250000\n1403499679\t27.190000\n1403500280\t27.120000\n1403500880\t27.120000\n1403501496\t27.120000\n1403502097\t27.190000\n1403502697\t27.190000\n1403503298\t27.190000\n1403503898\t27.190000\n1403504499\t27.190000\n1403505099\t27.190000\n1403505700\t27.190000\n1403506300\t27.190000\n1403506901\t27.190000\n1403507501\t27.190000\n1403508102\t27.190000\n1403508702\t27.190000\n1403509303\t27.120000\n1403509904\t27.120000\n1403510504\t27.120000\n1403511105\t27.120000\n1403511705\t27.190000\n1403512306\t27.190000\n1403512906\t27.190000\n1403513507\t27.190000\n1403514107\t27.190000\n1403514708\t27.190000\n1403515308\t27.190000\n1403515909\t27.190000\n1403516509\t27.190000\n1403517110\t27.250000\n1403517711\t27.250000\n1403518311\t27.250000\n1403518912\t27.250000\n1403519527\t27.250000\n1403520128\t27.250000\n1403520728\t27.250000\n1403521329\t27.250000\n1403521929\t27.310000\n1403522530\t27.250000\n1403523130\t27.310000\n1403523731\t27.250000\n1403524331\t27.250000\n1403524932\t27.310000\n1403525533\t27.250000\n1403526133\t27.310000\n1403526734\t27.250000\n1403527334\t27.250000\n1403527935\t27.250000\n1403528535\t27.250000\n1403529136\t27.250000\n1403529736\t27.310000\n1403530337\t27.310000\n1403530937\t27.380000\n1403531538\t27.310000\n1403532139\t27.310000\n1403532739\t27.250000\n1403533340\t27.060000\n1403533940\t27.060000\n1403534541\t27.120000\n1403535141\t27.190000\n1403535742\t27.250000\n1403536342\t27.310000\n1403536943\t27.310000\n1403537543\t27.310000\n1403538159\t27.380000\n1403538759\t27.380000\n1403539360\t27.380000\n1403539960\t27.440000\n1403540561\t27.440000\n1403541161\t27.440000\n1403541762\t27.440000\n1403542363\t27.380000\n1403542963\t27.440000\n1403543564\t27.380000\n1403544164\t27.380000\n1403544765\t27.380000\n1403545365\t27.380000\n1403545966\t27.440000\n1403546566\t27.440000\n1403547167\t27.440000\n1403547767\t27.440000\n1403548368\t27.440000\n1403548969\t27.380000\n1403549569\t27.380000\n1403550170\t26.120000\n1403550770\t26.810000\n1403551371\t27.250000\n1403551971\t27.560000\n1403552572\t27.750000\n1403553172\t27.880000\n1403553773\t28.000000\n1403554373\t28.060000\n1403554989\t28.120000\n1403555589\t28.250000\n1403556190\t28.250000\n1403556790\t28.310000\n1403557391\t28.310000\n1403557991\t28.310000\n1403558592\t28.380000\n1403559192\t28.440000\n1403559793\t28.440000\n1403560394\t28.440000\n1403560994\t28.500000\n1403561595\t28.500000\n1403562195\t28.500000\n1403562796\t28.560000\n1403563396\t28.560000\n1403563997\t28.620000\n1403564597\t28.620000\n1403565198\t28.620000\n1403565798\t28.620000\n1403566399\t28.620000\n1403566999\t28.620000\n1403567600\t28.690000\n1403568200\t28.690000\n1403568801\t28.690000\n1403569401\t28.690000\n1403570002\t28.690000\n1403570602\t28.690000\n1403571203\t28.690000\n1403571819\t28.750000\n1403572419\t28.750000\n1403573020\t28.750000\n1403573620\t28.750000\n1403574221\t28.750000\n1403574821\t28.750000\n1403575422\t28.750000\n1403576022\t28.750000\n1403576623\t28.750000\n1403577223\t28.690000\n1403577824\t28.750000\n1403578424\t28.750000\n1403579025\t28.750000\n1403579626\t28.750000\n1403580226\t28.750000\n1403580826\t28.750000\n1403581427\t28.750000\n1403582028\t28.750000\n1403582628\t28.750000\n1403583229\t28.810000\n1403583829\t28.750000\n1403584430\t28.750000\n1403585030\t28.810000\n1403585631\t28.810000\n1403586231\t28.810000\n1403586832\t28.810000\n1403587432\t28.810000\n1403588033\t28.810000\n1403588633\t28.810000\n1403589234\t28.880000\n1403589850\t28.810000\n1403590450\t28.880000\n1403591051\t28.880000\n1403591651\t28.880000\n1403592252\t28.880000\n1403592852\t28.880000\n1403593453\t28.940000\n1403594053\t28.940000\n1403594654\t28.940000\n1403595254\t28.940000\n1403595855\t28.940000\n1403596455\t28.940000\n1403597056\t28.940000\n1403597656\t29.000000\n1403598257\t29.000000\n1403598857\t29.000000\n1403599458\t29.000000\n1403600058\t29.000000\n1403600659\t29.000000\n1403601259\t29.000000\n1403601860\t29.000000\n1403602461\t29.000000\n1403603061\t29.000000\n1403603662\t29.000000\n1403604262\t29.000000\n1403604863\t29.060000\n1403605463\t29.060000\n1403606064\t29.060000\n1403606664\t29.060000\n1403607265\t29.060000\n1403607865\t29.060000\n1403608481\t29.120000\n1403609081\t29.120000\n1403609682\t29.120000\n1403610282\t29.120000\n1403610883\t29.060000\n1403611483\t29.120000\n1403612084\t29.120000\n1403612685\t29.120000\n1403613285\t29.120000\n1403613886\t29.120000\n1403614486\t29.120000\n1403615087\t29.190000\n1403615687\t29.190000\n1403616288\t29.190000\n1403616888\t29.190000\n1403617489\t29.250000\n1403618089\t29.250000\n1403618690\t29.310000\n1403619290\t29.310000\n1403619891\t29.310000\n1403620492\t29.310000\n1403621092\t29.310000\n1403621693\t29.310000\n1403622293\t29.310000\n1403622894\t29.380000\n1403623494\t29.380000\n1403624095\t29.380000\n1403624695\t29.380000\n1403625296\t29.380000\n1403625911\t29.380000\n1403626512\t29.380000\n1403627112\t28.560000\n1403627713\t25.880000\n1403628313\t24.810000\n1403628914\t24.120000\n1403629514\t23.940000\n1403630115\t25.440000\n1403630715\t26.190000\n1403631316\t26.560000\n1403631916\t26.810000\n1403632517\t26.940000\n1403633118\t27.000000\n1403633718\t27.060000\n1403634319\t27.060000\n1403634919\t27.190000\n1403635520\t27.250000\n1403636120\t27.310000\n1403636721\t27.310000\n1403637321\t27.380000\n1403637922\t27.440000\n1403638522\t27.440000\n1403639123\t27.500000\n1403639723\t27.560000\n1403640324\t27.560000\n1403640924\t27.620000\n1403641525\t27.620000\n1403642125\t27.690000\n1403642726\t27.620000\n1403643326\t27.620000\n1403643942\t27.620000\n1403644543\t27.690000\n1403645143\t27.690000\n1403645744\t27.690000\n1403646344\t27.690000\n1403646945\t27.690000\n1403647545\t27.690000\n1403648146\t27.690000\n1403648746\t27.690000\n1403649347\t27.750000\n1403649947\t27.750000\n1403650548\t27.750000\n1403651148\t27.750000\n1403651749\t27.750000\n1403652350\t27.750000\n1403652950\t27.750000\n1403653551\t27.750000\n1403654151\t27.750000\n1403654752\t27.750000\n1403655352\t27.750000\n1403655953\t27.750000\n1403656553\t27.690000\n1403657154\t27.690000\n1403657754\t27.690000\n1403658355\t27.690000\n1403658955\t27.690000\n1403659556\t27.690000\n1403660156\t27.690000\n1403660757\t27.690000\n1403661357\t27.690000\n1403661958\t27.690000\n1403662574\t27.690000\n1403663174\t27.690000\n1403663775\t27.690000\n1403664375\t27.690000\n1403664976\t27.690000\n1403665576\t27.690000\n1403666177\t27.690000\n1403666777\t27.690000\n1403667378\t27.690000\n1403667978\t27.690000\n1403668579\t27.690000\n1403669179\t27.690000\n1403669780\t27.690000\n1403670381\t27.690000\n1403670981\t27.690000\n1403671582\t27.690000\n1403672182\t27.690000\n1403672783\t27.690000\n1403673383\t27.690000\n1403673984\t27.690000\n1403674584\t27.690000\n1403675185\t27.690000\n1403675785\t27.690000\n1403676401\t27.620000\n1403677001\t27.690000\n1403677602\t27.690000\n1403678202\t27.750000\n1403678803\t27.750000\n1403679404\t27.750000\n1403680004\t27.810000\n1403680605\t27.750000\n1403681205\t27.690000\n1403681806\t27.690000\n1403682406\t27.690000\n1403683007\t27.620000\n1403683607\t27.690000\n1403684208\t27.690000\n1403684808\t27.750000\n1403685409\t27.750000\n1403686009\t27.750000\n1403686610\t27.810000\n1403687210\t27.750000\n1403687811\t27.690000\n1403688411\t27.750000\n1403689012\t27.750000\n1403689613\t27.750000\n1403690213\t27.750000\n1403690814\t27.810000\n1403691414\t27.880000\n1403692015\t27.810000\n1403692615\t27.880000\n1403693216\t27.810000\n1403693816\t27.810000\n1403694417\t27.810000\n1403695032\t27.880000\n1403695633\t27.880000\n1403696234\t25.880000\n1403696834\t24.690000\n1403697435\t24.120000\n1403698035\t23.810000\n1403698636\t23.620000\n1403699236\t23.500000\n1403699837\t23.440000\n1403700437\t23.440000\n1403701038\t23.500000\n1403701638\t23.500000\n1403702239\t23.310000\n1403702839\t23.120000\n1403703440\t22.880000\n1403704040\t22.620000\n1403704641\t22.560000\n1403705241\t24.000000\n1403705842\t24.810000\n1403706443\t25.310000\n1403707043\t25.620000\n1403707644\t25.810000\n1403708244\t26.000000\n1403708845\t26.060000\n1403709445\t26.190000\n1403710046\t26.250000\n1403710646\t26.310000\n1403711247\t26.440000\n1403711847\t26.560000\n1403712448\t26.620000\n1403713049\t26.690000\n1403713649\t26.750000\n1403714265\t26.750000\n1403714865\t26.810000\n1403715466\t26.880000\n1403716066\t26.880000\n1403716667\t26.940000\n1403717267\t26.940000\n1403717868\t27.000000\n1403718468\t27.060000\n1403719069\t27.060000\n1403719669\t27.060000\n1403720270\t27.120000\n1403720870\t27.120000\n1403721471\t27.190000\n1403722072\t27.190000\n1403722672\t27.190000\n1403723273\t27.190000\n1403723873\t27.190000\n1403724474\t27.190000\n1403725074\t27.250000\n1403725675\t27.250000\n1403726275\t27.250000\n1403726876\t27.310000\n1403727476\t27.310000\n1403728077\t27.310000\n1403728677\t27.310000\n1403729278\t27.310000\n1403729878\t27.310000\n1403730479\t27.380000\n1403731079\t27.310000\n1403731680\t27.380000\n1403732280\t27.380000\n1403732896\t27.380000\n1403733497\t27.380000\n1403734097\t27.380000\n1403734698\t27.380000\n1403735298\t27.440000\n1403735899\t27.440000\n1403736499\t27.440000\n1403737100\t27.440000\n1403737700\t27.440000\n1403738301\t27.440000\n1403738901\t27.440000\n1403739502\t27.440000\n1403740102\t27.380000\n1403740703\t27.380000\n1403741304\t27.380000\n1403741904\t27.380000\n1403742505\t27.440000\n1403743105\t27.440000\n1403743706\t27.440000\n1403744306\t27.440000\n1403744907\t27.440000\n1403745507\t27.380000\n1403746108\t27.310000\n1403746708\t27.310000\n1403747309\t27.310000\n1403747909\t27.310000\n1403748510\t27.310000\n1403749111\t27.250000\n1403749711\t27.250000\n1403750312\t27.250000\n1403750912\t27.250000\n1403751528\t27.190000\n1403752128\t27.250000\n1403752729\t27.250000\n1403753329\t27.250000\n1403753930\t27.250000\n1403754530\t27.250000\n1403755131\t27.250000\n1403755731\t27.250000\n1403756332\t27.250000\n1403756933\t27.250000\n1403757533\t27.310000\n1403758134\t27.250000\n1403758734\t27.310000\n1403759335\t27.250000\n1403759935\t27.250000\n1403760536\t27.250000\n1403761136\t27.250000\n1403761737\t27.310000\n1403762337\t27.250000\n1403762938\t27.310000\n1403763538\t27.310000\n1403764139\t27.250000\n1403764739\t27.250000\n1403765340\t27.250000\n1403765940\t27.250000\n1403766541\t27.190000\n1403767142\t27.250000\n1403767742\t27.190000\n1403768358\t27.250000\n1403768958\t27.190000\n1403769559\t27.120000\n1403770159\t27.120000\n1403770760\t27.120000\n1403771360\t27.190000\n1403771961\t27.190000\n1403772561\t27.190000\n1403773162\t27.190000\n1403773763\t27.190000\n1403774363\t27.190000\n1403774964\t27.120000\n1403775564\t27.060000\n1403776165\t27.060000\n1403776765\t27.120000\n1403777366\t27.190000\n1403777966\t27.190000\n1403778567\t27.250000\n1403779167\t27.250000\n1403779768\t27.120000\n1403780368\t27.190000\n1403780969\t27.250000\n1403781569\t27.310000\n1403782170\t27.310000\n1403782770\t27.250000\n1403783371\t27.310000\n1403783972\t27.250000\n1403784572\t27.250000\n1403785173\t27.250000\n1403785773\t27.250000\n1403786374\t27.250000\n1403786974\t27.250000\n1403787590\t27.310000\n1403788190\t27.310000\n1403788791\t27.310000\n1403789391\t27.310000\n1403789992\t27.310000\n1403790592\t27.310000\n1403791193\t27.380000\n1403791793\t27.380000\n1403792394\t27.310000\n1403792994\t27.380000\n1403793595\t27.380000\n1403794196\t27.380000\n1403794796\t27.380000\n1403795397\t27.440000\n1403795997\t27.380000\n1403796598\t27.380000\n1403797198\t27.440000\n1403797799\t27.440000\n1403798399\t27.440000\n1403799000\t27.380000\n1403799600\t27.440000\n1403800201\t27.440000\n1403800801\t27.440000\n1403801402\t27.440000\n1403802003\t27.440000\n1403802603\t27.500000\n1403803204\t27.560000\n1403803804\t27.500000\n1403804405\t27.500000\n1403805005\t27.560000\n1403805621\t27.560000\n1403806221\t27.560000\n1403806822\t27.560000\n1403807422\t27.560000\n1403808023\t27.620000\n1403808623\t27.620000\n1403809224\t27.620000\n1403809824\t27.620000\n1403810425\t27.690000\n1403811026\t27.690000\n1403811626\t27.690000\n1403812227\t27.690000\n1403812827\t27.690000\n1403813428\t27.690000\n1403814028\t27.690000\n1403814629\t27.690000\n1403815229\t27.690000\n1403815830\t27.690000\n1403816431\t27.750000\n1403817031\t27.750000\n1403817632\t27.750000\n1403818232\t27.750000\n1403818832\t27.750000\n1403819433\t27.750000\n1403820034\t27.750000\n1403820634\t27.750000\n1403821235\t27.750000\n1403821835\t27.810000\n1403822436\t27.810000\n1403823036\t27.810000\n1403823637\t27.810000\n1403824252\t27.810000\n1403824853\t27.810000\n1403825453\t27.810000\n1403826054\t27.810000\n1403826654\t27.810000\n1403827255\t27.810000\n1403827855\t27.810000\n1403828456\t27.750000\n1403829057\t27.750000\n1403829657\t27.810000\n1403830258\t27.810000\n1403830858\t27.810000\n1403831459\t27.750000\n1403832059\t27.750000\n1403832660\t27.810000\n1403833260\t27.750000\n1403833861\t27.750000\n1403834461\t27.750000\n1403835062\t27.810000\n1403835662\t27.750000\n1403836263\t27.750000\n1403836863\t27.810000\n1403837464\t27.810000\n1403838065\t27.810000\n1403838665\t27.810000\n1403839266\t27.810000\n1403839866\t27.810000\n1403840467\t27.880000\n1403841067\t27.880000\n1403841668\t27.880000\n1403842283\t27.810000\n1403842884\t27.880000\n1403843484\t27.880000\n1403844085\t27.880000\n1403844685\t27.880000\n1403845286\t27.940000\n1403845886\t27.880000\n1403846487\t27.880000\n1403847087\t27.880000\n1403847688\t27.880000\n1403848289\t27.940000\n1403848889\t27.940000\n1403849490\t27.940000\n1403850090\t27.940000\n1403850691\t27.940000\n1403851291\t27.880000\n1403851892\t27.940000\n1403852492\t27.940000\n1403853093\t27.940000\n1403853693\t28.000000\n1403854294\t28.000000\n1403854894\t27.940000\n1403855495\t28.000000\n1403856096\t28.000000\n1403856696\t28.000000\n1403857297\t28.000000\n1403857897\t28.000000\n1403858498\t28.000000\n1403859098\t28.000000\n1403859699\t28.000000\n1403860314\t27.940000\n1403860915\t28.000000\n1403861515\t27.940000\n1403862116\t27.940000\n1403862716\t28.000000\n1403863317\t28.000000\n1403863917\t28.000000\n1403864518\t27.940000\n1403865118\t27.940000\n1403865719\t28.000000\n1403866320\t28.000000\n1403866920\t28.000000\n1403867521\t27.940000\n1403868121\t27.940000\n1403868722\t27.940000\n1403869322\t27.940000\n1403869923\t27.880000\n1403870523\t27.940000\n1403871124\t27.940000\n1403871724\t27.940000\n1403872325\t27.940000\n1403872925\t27.940000\n1403873526\t27.880000\n1403874126\t27.880000\n1403874727\t27.940000\n1403875327\t27.940000\n1403875928\t27.940000\n1403876529\t27.940000\n1403877129\t27.940000\n1403877745\t27.940000\n1403878345\t28.000000\n1403878946\t28.060000\n1403879546\t28.060000\n1403880147\t28.120000\n1403880747\t28.120000\n1403881348\t28.060000\n1403881948\t28.060000\n1403882549\t28.060000\n1403883149\t28.120000\n1403883750\t26.690000\n1403884351\t26.190000\n1403884951\t26.940000\n1403885552\t27.310000\n1403886152\t27.560000\n1403886753\t27.690000\n1403887353\t27.750000\n1403887954\t27.810000\n1403888554\t27.880000\n1403889155\t27.940000\n1403889755\t27.940000\n1403890356\t28.000000\n1403890956\t28.000000\n1403891557\t28.060000\n1403892157\t28.000000\n1403892758\t28.000000\n1403893358\t28.000000\n1403893974\t28.060000\n1403894575\t28.060000\n1403895175\t28.060000\n1403895776\t28.120000\n1403896376\t28.120000\n1403896977\t28.060000\n1403897577\t28.120000\n1403898178\t28.120000\n1403898778\t28.120000\n1403899379\t28.120000\n1403899979\t28.120000\n1403900580\t28.120000\n1403901180\t28.120000\n1403901781\t28.120000\n1403902381\t28.120000\n1403902982\t28.190000\n1403903583\t28.120000\n1403904183\t28.190000\n1403904784\t28.120000\n1403905384\t28.190000\n1403905985\t28.120000\n1403906585\t28.120000\n1403907186\t28.120000\n1403907786\t28.120000\n1403908387\t28.120000\n1403908987\t28.120000\n1403909588\t28.120000\n1403910188\t28.120000\n1403910789\t28.120000\n1403911390\t28.120000\n1403911990\t28.190000\n1403912591\t28.120000\n1403913191\t28.120000\n1403913792\t28.190000\n1403914392\t28.190000\n1403915008\t28.120000\n1403915608\t28.120000\n1403916209\t28.120000\n1403916809\t28.120000\n1403917410\t28.190000\n1403918010\t28.190000\n1403918611\t28.190000\n1403919212\t28.190000\n1403919812\t28.190000\n1403920413\t28.120000\n1403921013\t28.190000\n1403921614\t28.190000\n1403922214\t28.190000\n1403922815\t28.190000\n1403923415\t28.190000\n1403924016\t28.190000\n1403924616\t28.190000\n1403925217\t28.190000\n1403925817\t28.190000\n1403926418\t28.190000\n1403927019\t28.190000\n1403927619\t28.190000\n1403928220\t28.190000\n1403928820\t28.190000\n1403929421\t28.250000\n1403930021\t28.250000\n1403930622\t28.250000\n1403931222\t28.250000\n1403931823\t28.250000\n1403932423\t28.250000\n1403933024\t28.250000\n1403933624\t28.250000\n1403934225\t28.250000\n1403934840\t28.250000\n1403935441\t28.250000\n1403936041\t28.250000\n1403936642\t28.250000\n1403937243\t28.250000\n1403937843\t28.250000\n1403938444\t28.250000\n1403939044\t28.250000\n1403939645\t28.250000\n1403940245\t28.190000\n1403940846\t28.190000\n1403941446\t28.190000\n1403942047\t28.190000\n1403942647\t28.190000\n1403943248\t28.190000\n1403943849\t28.190000\n1403944449\t28.190000\n1403945050\t28.190000\n1403945650\t28.250000\n1403946251\t28.250000\n1403946851\t28.250000\n1403947452\t28.310000\n1403948052\t28.310000\n1403948653\t28.310000\n1403949253\t28.310000\n1403949854\t28.250000\n1403950454\t28.250000\n1403951070\t28.310000\n1403951670\t28.250000\n1403952271\t28.250000\n1403952872\t28.250000\n1403953472\t28.250000\n1403954073\t28.250000\n1403954673\t28.250000\n1403955274\t28.190000\n1403955874\t28.190000\n1403956475\t28.190000\n1403957075\t28.190000\n1403957676\t28.190000\n1403958276\t28.120000\n1403958877\t28.120000\n1403959478\t28.120000\n1403960078\t28.120000\n1403960679\t28.120000\n1403961279\t28.120000\n1403961880\t28.120000\n1403962480\t28.120000\n1403963081\t28.120000\n1403963681\t28.120000\n1403964282\t28.120000\n1403964882\t28.120000\n1403965483\t28.120000\n1403966083\t28.120000\n1403966684\t28.120000\n1403967284\t28.120000\n1403967885\t28.190000\n1403968485\t28.190000\n1403969086\t28.120000\n1403969702\t28.190000\n1403970302\t28.190000\n1403970903\t28.190000\n1403971503\t28.120000\n1403972104\t28.120000\n1403972704\t28.120000\n1403973305\t28.120000\n1403973905\t28.060000\n1403974506\t28.060000\n1403975106\t28.000000\n1403975707\t28.060000\n1403976308\t28.000000\n1403976908\t28.000000\n1403977509\t28.000000\n1403978109\t28.000000\n1403978710\t28.060000\n1403979310\t28.000000\n1403979911\t28.000000\n1403980511\t28.000000\n1403981112\t28.000000\n1403981712\t28.060000\n1403982313\t28.060000\n1403982913\t28.060000\n1403983514\t28.000000\n1403984115\t28.000000\n1403984715\t28.060000\n1403985316\t28.060000\n1403985916\t28.060000\n1403986517\t28.060000\n1403987117\t28.060000\n1403987718\t28.060000\n1403988318\t28.060000\n1403988934\t28.060000\n1403989534\t28.060000\n1403990135\t28.060000\n1403990735\t28.060000\n1403991336\t28.060000\n1403991937\t28.060000\n1403992537\t28.060000\n1403993138\t28.060000\n1403993738\t28.060000\n1403994339\t28.120000\n1403994939\t28.120000\n1403995540\t28.120000\n1403996140\t28.120000\n1403996741\t28.060000\n1403997341\t28.060000\n1403997942\t28.060000\n1403998543\t28.120000\n1403999143\t28.060000\n1403999744\t28.060000\n1404000344\t28.120000\n1404000945\t28.120000\n1404001545\t28.120000\n1404002146\t28.120000\n1404002746\t28.120000\n1404003347\t28.120000\n1404003947\t28.190000\n1404004548\t28.120000\n1404005148\t28.120000\n1404005749\t28.120000\n1404006349\t28.060000\n1404006965\t28.060000\n1404007565\t28.060000\n1404008166\t28.060000\n1404008767\t28.000000\n1404009367\t28.000000\n1404009968\t27.940000\n1404010568\t27.940000\n1404011169\t28.000000\n1404011769\t28.000000\n1404012370\t28.000000\n1404012970\t28.000000\n1404013571\t28.000000\n1404014171\t28.000000\n1404014772\t28.000000\n1404015372\t28.000000\n1404015973\t28.060000\n1404016573\t28.000000\n1404017174\t28.060000\n1404017774\t28.060000\n1404018375\t28.060000\n1404018976\t28.060000\n1404019576\t28.120000\n1404020176\t28.060000\n1404020777\t28.120000\n1404021378\t28.120000\n1404021978\t28.060000\n1404022579\t28.060000\n1404023179\t28.060000\n1404023780\t28.060000\n1404024380\t28.060000\n1404024981\t28.060000\n1404025596\t28.060000\n1404026197\t28.060000\n1404026797\t28.060000\n1404027398\t28.060000\n1404027998\t28.060000\n1404028599\t28.120000\n1404029200\t28.060000\n1404029800\t28.060000\n1404030401\t28.060000\n1404031001\t28.060000\n1404031602\t28.120000\n1404032202\t28.120000\n1404032803\t28.120000\n1404033403\t28.120000\n1404034004\t28.060000\n1404034604\t28.060000\n1404035205\t28.060000\n1404035805\t28.060000\n1404036406\t28.120000\n1404037007\t28.120000\n1404037607\t28.190000\n1404038208\t28.190000\n1404038808\t28.250000\n1404039409\t28.250000\n1404040009\t28.310000\n1404040610\t28.250000\n1404041210\t28.190000\n1404041811\t28.250000\n1404042411\t28.250000\n1404043012\t28.250000\n1404043612\t28.250000\n1404044228\t28.310000\n1404044828\t28.310000\n1404045429\t28.380000\n1404046030\t28.380000\n1404046630\t28.380000\n1404047231\t28.380000\n1404047831\t28.380000\n1404048432\t28.380000\n1404049032\t28.380000\n1404049633\t28.380000\n1404050233\t28.440000\n1404050834\t28.380000\n1404051434\t28.440000\n1404052035\t28.380000\n1404052635\t28.440000\n1404053236\t28.440000\n1404053836\t28.440000\n1404054437\t28.440000\n1404055037\t28.500000\n1404055638\t28.440000\n1404056238\t28.500000\n1404056839\t28.440000\n1404057440\t28.500000\n1404058040\t28.500000\n1404058641\t28.560000\n1404059241\t28.500000\n1404059842\t28.500000\n1404060442\t28.310000\n1404061043\t25.750000\n1404061643\t24.810000\n1404062259\t24.120000\n1404062859\t23.690000\n1404063460\t23.440000\n1404064061\t24.120000\n1404064661\t25.380000\n1404065262\t26.190000\n1404065862\t26.690000\n1404066463\t27.000000\n1404067063\t27.190000\n1404067664\t27.380000\n1404068264\t27.440000\n1404068865\t27.560000\n1404069466\t27.690000\n1404070066\t27.690000\n1404070667\t27.810000\n1404071267\t27.810000\n1404071868\t27.880000\n1404072468\t27.940000\n1404073069\t28.000000\n1404073669\t28.000000\n1404074270\t28.000000\n1404074870\t28.000000\n1404075471\t28.060000\n1404076071\t28.060000\n1404076672\t28.120000\n1404077272\t28.060000\n1404077873\t28.120000\n1404078473\t28.120000\n1404079074\t28.120000\n1404079674\t28.190000\n1404080275\t28.120000\n1404080890\t28.190000\n1404081491\t28.190000\n1404082092\t28.190000\n1404082692\t28.250000\n1404083293\t28.250000\n1404083893\t28.250000\n1404084494\t28.250000\n1404085094\t28.250000\n1404085695\t28.310000\n1404086295\t28.310000\n1404086896\t28.310000\n1404087496\t28.310000\n1404088097\t28.310000\n1404088698\t28.310000\n1404089298\t28.380000\n1404089899\t28.380000\n1404090499\t28.380000\n1404091100\t28.380000\n1404091700\t28.380000\n1404092301\t28.380000\n1404092901\t28.440000\n1404093502\t28.440000\n1404094102\t28.440000\n1404094703\t28.440000\n1404095303\t28.440000\n1404095904\t28.380000\n1404096504\t28.380000\n1404097105\t28.380000\n1404097706\t28.380000\n1404098306\t28.380000\n1404098922\t28.310000\n1404099522\t28.310000\n1404100123\t28.310000\n1404100723\t28.380000\n1404101324\t28.380000\n1404101924\t28.310000\n1404102525\t28.310000\n1404103125\t28.310000\n1404103726\t28.310000\n1404104326\t28.310000\n1404104927\t28.310000\n1404105528\t28.310000\n1404106128\t28.310000\n1404106729\t28.310000\n1404107329\t28.310000\n1404107930\t28.250000\n1404108530\t28.310000\n1404109131\t28.310000\n1404109731\t28.310000\n1404110332\t28.310000\n1404110932\t28.310000\n1404111533\t28.310000\n1404112133\t28.380000\n1404112734\t28.380000\n1404113334\t28.380000\n1404113935\t28.380000\n1404114535\t28.380000\n1404115136\t28.310000\n1404115736\t28.310000\n1404116352\t28.310000\n1404116953\t28.250000\n1404117553\t28.250000\n1404118154\t28.310000\n1404118754\t28.310000\n1404119355\t28.250000\n1404119955\t26.190000\n1404120556\t23.940000\n1404121156\t22.880000\n1404121757\t22.310000\n1404122357\t22.000000\n1404122958\t21.810000\n1404123558\t21.620000\n1404124159\t21.500000\n1404124759\t21.440000\n1404125360\t21.380000\n1404125961\t21.310000\n1404126561\t21.250000\n1404127162\t21.060000\n1404127762\t20.940000\n1404128363\t20.940000\n1404128963\t21.000000\n1404129564\t21.190000\n1404130164\t21.190000\n1404130765\t21.060000\n1404131365\t21.880000\n1404131966\t23.310000\n1404132566\t24.120000\n1404133167\t24.750000\n1404133767\t25.120000\n1404134383\t25.440000\n1404134984\t25.690000\n1404135584\t25.880000\n1404136185\t26.000000\n1404136785\t26.120000\n1404137386\t26.250000\n1404137986\t26.380000\n1404138587\t26.500000\n1404139187\t26.560000\n1404139788\t26.620000\n1404140388\t26.690000\n1404140989\t26.750000\n1404141589\t26.810000\n1404142190\t26.880000\n1404142791\t26.940000\n1404143391\t27.000000\n1404143992\t27.060000\n1404144592\t27.120000\n1404145193\t27.190000\n1404145793\t27.190000\n1404146394\t27.190000\n1404146994\t27.250000\n1404147595\t27.310000\n1404148195\t27.310000\n1404148796\t27.310000\n1404149396\t27.310000\n1404149997\t27.380000\n1404150597\t27.380000\n1404151198\t27.440000\n1404151798\t27.440000\n1404152399\t27.500000\n1404153015\t27.500000\n1404153615\t27.500000\n1404154216\t27.500000\n1404154816\t27.560000\n1404155417\t27.560000\n1404156017\t27.560000\n1404156618\t27.560000\n1404157218\t27.620000\n1404157819\t27.620000\n1404158419\t27.620000\n1404159020\t27.620000\n1404159620\t27.690000\n1404160221\t27.690000\n1404160821\t27.690000\n1404161422\t27.750000\n1404162022\t27.750000\n1404162623\t27.750000\n1404163224\t27.750000\n1404163824\t27.750000\n1404164425\t27.750000\n1404165025\t27.750000\n1404165626\t27.750000\n1404166226\t27.750000\n1404166827\t27.750000\n1404167427\t27.810000\n1404168028\t27.880000\n1404168628\t27.880000\n1404169229\t27.880000\n1404169830\t27.880000\n1404170430\t27.880000\n1404171046\t27.940000\n1404171646\t27.940000\n1404172247\t27.880000\n1404172847\t27.940000\n1404173448\t27.940000\n1404174048\t27.940000\n1404174649\t27.940000\n1404175250\t27.940000\n1404175850\t27.940000\n1404176451\t27.940000\n1404177051\t27.940000\n1404177652\t28.000000\n1404178252\t28.000000\n1404178853\t28.000000\n1404179453\t27.940000\n1404180054\t28.000000\n1404180654\t28.000000\n1404181255\t28.000000\n1404181855\t28.000000\n1404182456\t28.000000\n1404183057\t28.060000\n1404183657\t28.060000\n1404184258\t28.060000\n1404184858\t28.060000\n1404185459\t28.060000\n1404186059\t28.060000\n1404186660\t28.060000\n1404187260\t28.060000\n1404187876\t28.060000\n1404188476\t28.120000\n1404189077\t28.060000\n1404189677\t28.120000\n1404190278\t28.120000\n1404190878\t28.120000\n1404191479\t28.120000\n1404192079\t28.120000\n1404192680\t28.190000\n1404193280\t28.190000\n1404193881\t28.190000\n1404194482\t28.190000\n1404195082\t28.190000\n1404195683\t28.190000\n1404196283\t28.250000\n1404196884\t28.250000\n1404197484\t28.250000\n1404198085\t28.250000\n1404198685\t28.250000\n1404199286\t28.250000\n1404199886\t28.190000\n1404200487\t28.190000\n1404201088\t28.190000\n1404201688\t28.190000\n1404202289\t28.190000\n1404202889\t28.190000\n1404203490\t28.250000\n1404204090\t28.250000\n1404204691\t28.250000\n1404205306\t28.250000\n1404205907\t28.250000\n1404206507\t28.310000\n1404207108\t28.310000\n1404207708\t28.310000\n1404208309\t28.310000\n1404208909\t28.380000\n1404209510\t28.310000\n1404210111\t28.380000\n1404210711\t28.380000\n1404211312\t28.380000\n1404211912\t28.440000\n1404212513\t28.440000\n1404213113\t28.440000\n1404213714\t28.500000\n1404214314\t28.440000\n1404214915\t28.440000\n1404215515\t28.500000\n1404216116\t28.500000\n1404216716\t28.560000\n1404217317\t28.560000\n1404217917\t28.560000\n1404218518\t28.560000\n1404219118\t28.560000\n1404219719\t28.560000\n1404220320\t28.620000\n1404220920\t28.620000\n1404221521\t28.620000\n1404222121\t28.690000\n1404222722\t28.690000\n1404223322\t28.690000\n1404223923\t28.690000\n1404224538\t28.690000\n1404225139\t28.690000\n1404225739\t28.690000\n1404226340\t28.750000\n1404226941\t28.750000\n1404227541\t28.750000\n1404228142\t28.750000\n1404228742\t28.810000\n1404229343\t28.750000\n1404229943\t28.750000\n1404230544\t28.750000\n1404231144\t28.810000\n1404231745\t28.810000\n1404232345\t28.750000\n1404232946\t28.810000\n1404233546\t28.810000\n1404234147\t28.810000\n1404234747\t28.810000\n1404235348\t28.810000\n1404235949\t28.810000\n1404236549\t28.810000\n1404237150\t28.880000\n1404237750\t28.880000\n1404238351\t28.880000\n1404238951\t28.880000\n1404239552\t28.880000\n1404240152\t28.940000\n1404240753\t28.940000\n1404241353\t28.940000\n1404241954\t28.940000\n1404242554\t28.940000\n1404243170\t28.940000\n1404243771\t28.940000\n1404244371\t28.940000\n1404244972\t28.940000\n1404245572\t28.940000\n1404246173\t29.000000\n1404246773\t29.000000\n1404247374\t29.000000\n1404247974\t29.000000\n1404248575\t29.000000\n1404249175\t29.000000\n1404249776\t29.000000\n1404250377\t29.000000\n1404250977\t29.000000\n1404251578\t29.000000\n1404252178\t29.000000\n1404252779\t29.000000\n1404253379\t29.000000\n1404253980\t29.060000\n1404254580\t29.060000\n1404255181\t29.060000\n1404255781\t29.000000\n1404256382\t29.000000\n1404256982\t29.000000\n1404257583\t29.000000\n1404258183\t29.000000\n1404258784\t29.000000\n1404259385\t29.060000\n1404259985\t29.000000\n1404260586\t29.000000\n1404261186\t29.000000\n1404261802\t29.000000\n1404262402\t29.000000\n1404263003\t29.000000\n1404263603\t29.000000\n1404264204\t29.000000\n1404264804\t29.000000\n1404265405\t28.940000\n1404266005\t29.000000\n1404266606\t28.940000\n1404267207\t29.000000\n1404267807\t29.000000\n1404268408\t29.000000\n1404269008\t28.940000\n1404269609\t28.940000\n1404270209\t28.940000\n1404270810\t28.940000\n1404271410\t28.940000\n1404272011\t28.940000\n1404272611\t28.940000\n1404273212\t28.940000\n1404273813\t28.940000\n1404274413\t28.940000\n1404275014\t28.880000\n1404275614\t28.940000\n1404276215\t28.940000\n1404276815\t28.940000\n1404277416\t28.940000\n1404278016\t28.940000\n1404278617\t28.940000\n1404279217\t28.940000\n1404279833\t28.940000\n1404280433\t28.940000\n1404281034\t28.940000\n1404281634\t28.940000\n1404282235\t29.000000\n1404282835\t28.940000\n1404283436\t29.000000\n1404284036\t29.000000\n1404284637\t29.060000\n1404285237\t29.060000\n1404285838\t29.060000\n1404286438\t29.060000\n1404287039\t29.060000\n1404287639\t29.120000\n1404288240\t29.060000\n1404288841\t29.060000\n1404289441\t29.120000\n1404290042\t29.120000\n1404290642\t29.120000\n1404291243\t29.120000\n1404291843\t29.120000\n1404292444\t29.190000\n1404293044\t29.190000\n1404293645\t29.190000\n1404294245\t29.190000\n1404294846\t29.190000\n1404295446\t29.190000\n1404296047\t29.250000\n1404296662\t29.250000\n1404297263\t29.250000\n1404297863\t29.250000\n1404298464\t29.310000\n1404299064\t29.310000\n1404299665\t29.310000\n1404300266\t29.310000\n1404300866\t29.310000\n1404301467\t29.380000\n1404302067\t29.380000\n1404302668\t29.380000\n1404303268\t29.380000\n1404303869\t29.380000\n1404304469\t29.440000\n1404305070\t29.380000\n1404305670\t29.440000\n1404306271\t29.440000\n1404306871\t29.440000\n1404307472\t29.380000\n1404308072\t29.380000\n1404308673\t29.380000\n1404309274\t29.310000\n1404309874\t29.440000\n1404310475\t29.440000\n1404311075\t29.440000\n1404311676\t29.440000\n1404312276\t29.500000\n1404312877\t29.560000\n1404313477\t29.500000\n1404314078\t29.500000\n1404314678\t29.560000\n1404315279\t29.560000\n1404315880\t29.560000\n1404316480\t29.560000\n1404317081\t29.560000\n1404317681\t29.560000\n1404318282\t29.560000\n1404318897\t29.560000\n1404319498\t29.560000\n1404320098\t29.620000\n1404320699\t29.560000\n1404321299\t29.560000\n1404321900\t29.620000\n1404322500\t29.620000\n1404323101\t29.620000\n1404323701\t29.620000\n1404324302\t29.620000\n1404324903\t29.620000\n1404325503\t29.620000\n1404326104\t29.690000\n1404326704\t29.690000\n1404327305\t29.690000\n1404327905\t29.690000\n1404328506\t29.690000\n1404329106\t29.690000\n1404329707\t29.690000\n1404330307\t29.690000\n1404330908\t29.690000\n1404331508\t29.690000\n1404332109\t29.690000\n1404332709\t29.690000\n1404333310\t29.690000\n1404333910\t29.690000\n1404334511\t29.690000\n1404335111\t29.690000\n1404335712\t29.690000\n1404336313\t29.690000\n1404336913\t29.690000\n1404337514\t29.690000\n1404338114\t29.690000\n1404338730\t29.690000\n1404339330\t29.690000\n1404339931\t29.690000\n1404340531\t29.750000\n1404341132\t29.690000\n1404341732\t29.690000\n1404342333\t29.690000\n1404342933\t29.690000\n1404343534\t29.690000\n1404344134\t29.690000\n1404344735\t29.690000\n1404345335\t29.690000\n1404345936\t29.690000\n1404346537\t29.690000\n1404347137\t29.620000\n1404347738\t29.690000\n1404348338\t29.620000\n1404348939\t29.620000\n1404349539\t29.560000\n1404350140\t29.560000\n1404350740\t29.620000\n1404351341\t29.560000\n1404351941\t29.500000\n1404352542\t29.500000\n1404353142\t29.440000\n1404353743\t29.440000\n1404354343\t29.380000\n1404354944\t29.380000\n1404355544\t29.310000\n1404356145\t29.310000\n1404356746\t29.250000\n1404357346\t29.250000\n1404357962\t29.310000\n1404358562\t29.310000\n1404359163\t29.310000\n1404359763\t29.250000\n1404360364\t29.310000\n1404360964\t29.250000\n1404361565\t29.190000\n1404362165\t29.250000\n1404362766\t29.250000\n1404363366\t29.190000\n1404363967\t29.190000\n1404364568\t29.120000\n1404365168\t29.060000\n1404365769\t29.060000\n1404366369\t29.060000\n1404366970\t29.060000\n1404367570\t29.060000\n1404368171\t29.060000\n1404368771\t29.060000\n1404369372\t29.060000\n1404369972\t29.060000\n1404370573\t29.060000\n1404371173\t29.060000\n1404371774\t29.060000\n1404372374\t29.120000\n1404372975\t29.190000\n1404373575\t29.190000\n1404374176\t29.120000\n1404374776\t29.120000\n1404375377\t29.060000\n1404375993\t29.060000\n1404376593\t29.120000\n1404377194\t29.060000\n1404377794\t29.060000\n1404378395\t29.060000\n1404378995\t29.060000\n1404379596\t29.060000\n1404380196\t29.060000\n1404380797\t29.000000\n1404381397\t28.940000\n1404381998\t28.940000\n1404382598\t28.880000\n1404383199\t28.940000\n1404383800\t29.000000\n1404384400\t29.000000\n1404385001\t28.940000\n1404385601\t29.000000\n1404386202\t29.000000\n1404386802\t29.000000\n1404387403\t29.060000\n1404388003\t29.000000\n1404388604\t28.940000\n1404389204\t28.880000\n1404389805\t28.880000\n1404390405\t28.810000\n1404391006\t28.750000\n1404391606\t28.750000\n1404392207\t28.690000\n1404392807\t28.620000\n1404393408\t28.620000\n1404394009\t28.620000\n1404394609\t28.620000\n1404395225\t28.690000\n1404395825\t28.690000\n1404396426\t28.620000\n1404397026\t28.690000\n1404397627\t28.750000\n1404398227\t28.810000\n1404398828\t28.810000\n1404399428\t28.810000\n1404400029\t28.810000\n1404400629\t28.810000\n1404401230\t28.750000\n1404401831\t28.690000\n1404402431\t28.690000\n1404403032\t28.810000\n1404403632\t28.810000\n1404404233\t28.880000\n1404404833\t28.940000\n1404405434\t28.880000\n1404406034\t28.940000\n1404406635\t28.940000\n1404407235\t28.880000\n1404407836\t28.940000\n1404408436\t29.000000\n1404409037\t29.000000\n1404409637\t29.060000\n1404410238\t29.060000\n1404410838\t29.120000\n1404411439\t29.190000\n1404412039\t29.190000\n1404412640\t29.190000\n1404413255\t29.250000\n1404413856\t29.250000\n1404414457\t29.250000\n1404415057\t29.190000\n1404415658\t29.250000\n1404416258\t29.250000\n1404416859\t29.250000\n1404417459\t29.310000\n1404418060\t29.380000\n1404418660\t29.380000\n1404419261\t29.380000\n1404419861\t29.380000\n1404420462\t29.440000\n1404421062\t29.440000\n1404421663\t29.500000\n1404422263\t29.440000\n1404422864\t29.500000\n1404423465\t29.500000\n1404424065\t29.440000\n1404424666\t29.380000\n1404425266\t29.380000\n1404425867\t29.310000\n1404426467\t29.310000\n1404427068\t29.380000\n1404427668\t29.380000\n1404428269\t29.380000\n1404428869\t29.310000\n1404429470\t29.310000\n1404430070\t29.380000\n1404430686\t29.380000\n1404431286\t29.440000\n1404431887\t29.440000\n1404432487\t29.500000\n1404433088\t29.500000\n1404433688\t29.500000\n1404434289\t29.560000\n1404434890\t29.560000\n1404435490\t29.560000\n1404436091\t29.560000\n1404436691\t29.560000\n1404437292\t29.560000\n1404437892\t29.560000\n1404438493\t29.560000\n1404439093\t29.560000\n1404439694\t29.560000\n1404440294\t29.560000\n1404440895\t29.560000\n1404441495\t29.560000\n1404442096\t29.560000\n1404442697\t29.560000\n1404443297\t29.620000\n1404443898\t29.620000\n1404444498\t29.620000\n1404445099\t29.620000\n1404445699\t29.620000\n1404446300\t29.690000\n1404446900\t29.620000\n1404447516\t29.690000\n1404448116\t29.690000\n1404448717\t29.690000\n1404449317\t29.620000\n1404449918\t29.620000\n1404450518\t29.560000\n1404451119\t29.560000\n1404451719\t29.620000\n1404452320\t29.620000\n1404452920\t29.620000\n1404453521\t29.620000\n1404454121\t29.690000\n1404454722\t29.690000\n1404455322\t29.690000\n1404455923\t29.750000\n1404456523\t29.750000\n1404457124\t29.750000\n1404457725\t29.750000\n1404458325\t29.810000\n1404458926\t29.750000\n1404459526\t29.750000\n1404460127\t29.750000\n1404460727\t29.750000\n1404461328\t29.750000\n1404461928\t29.750000\n1404462529\t29.690000\n1404463129\t29.690000\n1404463730\t29.620000\n1404464345\t29.620000\n1404464946\t29.620000\n1404465546\t29.620000\n1404466147\t29.620000\n1404466747\t29.690000\n1404467348\t29.690000\n1404467948\t29.620000\n1404468549\t29.620000\n1404469149\t29.620000\n1404469750\t29.620000\n1404470351\t29.620000\n1404470951\t29.620000\n1404471552\t29.690000\n1404472152\t29.690000\n1404472753\t29.690000\n1404473353\t29.690000\n1404473954\t29.690000\n1404474554\t28.750000\n1404475155\t26.810000\n1404475755\t26.810000\n1404476356\t27.750000\n1404476956\t28.250000\n1404477557\t28.560000\n1404478157\t28.690000\n1404478758\t28.810000\n1404479359\t29.000000\n1404479959\t28.940000\n1404480560\t29.060000\n1404481160\t29.000000\n1404481761\t29.060000\n1404482361\t29.120000\n1404482977\t29.120000\n1404483577\t29.120000\n1404484178\t29.190000\n1404484778\t29.190000\n1404485379\t29.120000\n1404485979\t29.190000\n1404486580\t29.310000\n1404487180\t29.380000\n1404487781\t29.380000\n1404488381\t29.380000\n1404488982\t29.440000\n1404489582\t29.440000\n1404490183\t29.500000\n1404490783\t29.500000\n1404491384\t29.440000\n1404491985\t29.500000\n1404492585\t29.500000\n1404493186\t29.500000\n1404493786\t29.500000\n1404494387\t29.500000\n1404494987\t29.560000\n1404495588\t29.560000\n1404496188\t29.620000\n1404496789\t29.620000\n1404497389\t29.690000\n1404497990\t29.690000\n1404498590\t29.690000\n1404499191\t29.690000\n1404499791\t29.690000\n1404500392\t29.690000\n1404501008\t29.750000\n1404501608\t29.690000\n1404502209\t29.750000\n1404502809\t29.750000\n1404503410\t29.750000\n1404504010\t29.750000\n1404504611\t29.750000\n1404505211\t29.750000\n1404505812\t29.750000\n1404506412\t29.750000\n1404507013\t29.750000\n1404507613\t29.750000\n1404508214\t29.750000\n1404508814\t29.750000\n1404509415\t29.810000\n1404510015\t29.810000\n1404510616\t29.810000\n1404511216\t29.750000\n1404511817\t29.810000\n1404512417\t29.810000\n1404513018\t29.810000\n1404513618\t29.880000\n1404514219\t29.880000\n1404514820\t29.880000\n1404515420\t29.880000\n1404516021\t29.880000\n1404516621\t29.880000\n1404517222\t29.880000\n1404517822\t29.810000\n1404518438\t29.810000\n1404519038\t29.810000\n1404519639\t29.810000\n1404520239\t29.810000\n1404520840\t29.810000\n1404521440\t29.810000\n1404522041\t29.810000\n1404522641\t29.810000\n1404523242\t29.810000\n1404523842\t29.750000\n1404524443\t29.750000\n1404525044\t29.750000\n1404525644\t29.750000\n1404526245\t29.750000\n1404526845\t29.690000\n1404527446\t29.690000\n1404528046\t29.620000\n1404528647\t29.620000\n1404529247\t29.620000\n1404529848\t29.620000\n1404530448\t29.620000\n1404531049\t29.690000\n1404531649\t29.690000\n1404532250\t29.690000\n1404532850\t29.690000\n1404533451\t29.750000\n1404534051\t29.750000\n1404534652\t29.750000\n1404535252\t29.750000\n1404535853\t29.750000\n1404536468\t29.750000\n1404537069\t29.750000\n1404537669\t29.750000\n1404538270\t29.810000\n1404538870\t29.750000\n1404539471\t29.750000\n1404540071\t29.810000\n1404540672\t29.810000\n1404541273\t29.810000\n1404541873\t29.810000\n1404542474\t29.810000\n1404543074\t29.810000\n1404543675\t29.880000\n1404544275\t29.880000\n1404544876\t29.880000\n1404545476\t29.880000\n1404546077\t29.880000\n1404546677\t29.880000\n1404547278\t29.880000\n1404547878\t29.880000\n1404548479\t29.940000\n1404549079\t29.940000\n1404549680\t29.880000\n1404550280\t29.940000\n1404550881\t30.000000\n1404551481\t30.000000\n1404552082\t28.750000\n1404552683\t27.620000\n1404553283\t27.250000\n1404553884\t27.120000\n1404554484\t27.060000\n1404555100\t26.810000\n1404555700\t26.750000\n1404556301\t26.620000\n1404556901\t26.560000\n1404557502\t26.500000\n1404558102\t26.560000\n1404558703\t26.560000\n1404559303\t26.620000\n1404559904\t26.620000\n1404560504\t26.500000\n1404561105\t26.440000\n1404561705\t26.310000\n1404562306\t26.250000\n1404562906\t26.250000\n1404563507\t26.250000\n1404564107\t26.250000\n1404564708\t26.310000\n1404565308\t26.380000\n1404565909\t26.440000\n1404566510\t26.440000\n1404567110\t26.500000\n1404567711\t26.620000\n1404568311\t26.690000\n1404568912\t26.620000\n1404569512\t26.620000\n1404570128\t26.620000\n1404570728\t26.620000\n1404571329\t26.620000\n1404571929\t26.560000\n1404572530\t26.500000\n1404573130\t26.500000\n1404573731\t26.500000\n1404574331\t26.380000\n1404574932\t26.380000\n1404575532\t26.310000\n1404576133\t26.880000\n1404576733\t27.500000\n1404577334\t27.880000\n1404577935\t28.120000\n1404578535\t28.310000\n1404579136\t28.440000\n1404579736\t28.560000\n1404580337\t28.620000\n1404580937\t28.750000\n1404581538\t28.810000\n1404582138\t28.880000\n1404582739\t28.880000\n1404583339\t28.940000\n1404583940\t29.000000\n1404584540\t29.060000\n1404585141\t29.120000\n1404585741\t29.120000\n1404586342\t29.190000\n1404586942\t29.250000\n1404587543\t29.250000\n1404588158\t29.250000\n1404588759\t29.310000\n1404589360\t29.310000\n1404589960\t29.380000\n1404590561\t29.380000\n1404591161\t29.440000\n1404591762\t29.440000\n1404592362\t29.440000\n1404592963\t29.500000\n1404593563\t29.500000\n1404594164\t29.500000\n1404594764\t29.500000\n1404595365\t29.560000\n1404595965\t29.560000\n1404596566\t29.560000\n1404597166\t29.560000\n1404597767\t29.620000\n1404598368\t29.620000\n1404598968\t29.690000\n1404599568\t29.690000\n1404600169\t29.750000\n1404600769\t29.750000\n1404601370\t29.750000\n1404601970\t29.750000\n1404602571\t29.750000\n1404603172\t29.810000\n1404603772\t29.810000\n1404604373\t29.810000\n1404604973\t29.810000\n1404605589\t29.810000\n1404606189\t29.880000\n1404606790\t29.880000\n1404607390\t29.880000\n1404607991\t29.880000\n1404608591\t29.880000\n1404609192\t29.940000\n1404609792\t29.880000\n1404610393\t29.880000\n1404610993\t29.940000\n1404611594\t29.940000\n1404612194\t29.940000\n1404612795\t29.940000\n1404613395\t29.940000\n1404613996\t29.940000\n1404614596\t29.940000\n1404615197\t30.000000\n1404615798\t29.940000\n1404616398\t30.000000\n1404616999\t30.000000\n1404617599\t30.060000\n1404618200\t30.000000\n1404618800\t30.000000\n1404619401\t30.000000\n1404620001\t30.000000\n1404620602\t30.000000\n1404621202\t30.060000\n1404621803\t30.000000\n1404622403\t30.000000\n1404623019\t30.000000\n1404623619\t30.060000\n1404624220\t30.060000\n1404624820\t30.060000\n1404625421\t30.000000\n1404626021\t30.000000\n1404626622\t30.060000\n1404627223\t30.060000\n1404627823\t30.060000\n1404628424\t30.060000\n1404629024\t30.120000\n1404629625\t30.060000\n1404630225\t30.120000\n1404630826\t30.120000\n1404631426\t30.190000\n1404632027\t30.190000\n1404632627\t30.120000\n1404633228\t30.120000\n1404633828\t29.560000\n1404634429\t27.750000\n1404635029\t26.940000\n1404635630\t26.560000\n1404636230\t26.310000\n1404636831\t26.190000\n1404637431\t26.190000\n1404638032\t26.120000\n1404638632\t26.190000\n1404639233\t26.250000\n1404639833\t26.250000\n1404640434\t26.310000\n1404641050\t26.310000\n1404641650\t26.250000\n1404642251\t26.250000\n1404642851\t26.190000\n1404643452\t26.250000\n1404644052\t26.250000\n1404644653\t26.190000\n1404645253\t26.250000\n1404645854\t26.250000\n1404646454\t26.310000\n1404647055\t26.250000\n1404647655\t26.310000\n1404648256\t26.250000\n1404648856\t26.250000\n1404649457\t26.310000\n1404650057\t26.310000\n1404650658\t26.440000\n1404651258\t26.500000\n1404651859\t26.500000\n1404652459\t26.500000\n1404653060\t26.500000\n1404653660\t26.500000\n1404654261\t26.500000\n1404654861\t26.620000\n1404655462\t26.810000\n1404656062\t26.810000\n1404656663\t26.880000\n1404657264\t26.940000\n1404657864\t26.940000\n1404658480\t26.880000\n1404659080\t26.810000\n1404659681\t26.880000\n1404660281\t26.810000\n1404660882\t26.880000\n1404661482\t26.940000\n1404662083\t26.940000\n1404662683\t27.000000\n1404663284\t27.060000\n1404663884\t27.060000\n1404664485\t27.060000\n1404665085\t27.000000\n1404665686\t27.000000\n1404666287\t26.940000\n1404666887\t26.940000\n1404667488\t26.880000\n1404668088\t26.750000\n1404668689\t26.560000\n1404669289\t26.500000\n1404669890\t26.440000\n1404670490\t26.380000\n1404671091\t26.310000\n1404671691\t26.250000\n1404672292\t26.120000\n1404672892\t26.190000\n1404673493\t26.060000\n1404674094\t26.060000\n1404674694\t26.000000\n1404675295\t26.880000\n1404675910\t27.500000\n1404676511\t27.940000\n1404677111\t28.190000\n1404677712\t28.310000\n1404678312\t28.440000\n1404678913\t28.560000\n1404679513\t28.620000\n1404680114\t28.750000\n1404680714\t28.810000\n1404681315\t28.810000\n1404681915\t28.880000\n1404682516\t28.940000\n1404683116\t29.000000\n1404683717\t29.060000\n1404684317\t29.120000\n1404684918\t29.120000\n1404685518\t29.190000\n1404686119\t29.250000\n1404686719\t29.310000\n1404687320\t29.310000\n1404687920\t29.310000\n1404688521\t29.380000\n1404689121\t29.380000\n1404689722\t29.440000\n1404690323\t29.500000\n1404690923\t29.440000\n1404691524\t29.500000\n1404692124\t29.560000\n1404692725\t29.560000\n1404693325\t29.620000\n1404693941\t29.620000\n1404694541\t29.620000\n1404695142\t29.690000\n1404695742\t29.690000\n1404696343\t29.690000\n1404696943\t29.620000\n1404697544\t29.690000\n1404698144\t29.690000\n1404698745\t29.690000\n1404699346\t29.750000\n1404699946\t29.750000\n1404700547\t29.810000\n1404701147\t29.810000\n1404701748\t29.810000\n1404702348\t29.810000\n1404702949\t29.810000\n1404703549\t29.810000\n1404704150\t29.880000\n1404704750\t29.880000\n1404705351\t29.940000\n1404705951\t29.940000\n1404706552\t29.940000\n1404707152\t29.940000\n1404707753\t29.940000\n1404708354\t30.000000\n1404708954\t30.000000\n1404709555\t29.940000\n1404710155\t29.940000\n1404710756\t29.940000\n1404711356\t29.940000\n1404711957\t30.000000\n1404712557\t30.000000\n1404713158\t30.000000\n1404713758\t30.000000\n1404714359\t30.060000\n1404714959\t30.060000\n1404715575\t30.060000\n1404716175\t30.120000\n1404716776\t30.120000\n1404717376\t30.120000\n1404717977\t30.120000\n1404718577\t30.120000\n1404719178\t30.120000\n1404719778\t30.120000\n1404720379\t30.120000\n1404720980\t30.190000\n1404721580\t30.190000\n1404722181\t30.190000\n1404722781\t30.190000\n1404723382\t30.250000\n1404723982\t30.250000\n1404724583\t30.250000\n1404725183\t30.250000\n1404725784\t30.310000\n1404726384\t30.310000\n1404726985\t30.310000\n1404727585\t30.380000\n1404728186\t30.380000\n1404728786\t30.440000\n1404729387\t30.440000\n1404729987\t30.440000\n1404730588\t30.440000\n1404731189\t30.440000\n1404731789\t30.440000\n1404732390\t30.500000\n1404732990\t30.560000\n1404733591\t30.620000\n1404734191\t30.620000\n1404734792\t30.690000\n1404735392\t30.690000\n1404736008\t30.750000\n1404736608\t30.810000\n1404737209\t30.810000\n1404737809\t30.880000\n1404738410\t30.880000\n1404739011\t30.940000\n1404739611\t30.940000\n1404740212\t31.000000\n1404740812\t31.000000\n1404741413\t31.060000\n1404742013\t31.060000\n1404742614\t31.060000\n1404743214\t31.120000\n1404743815\t31.190000\n1404744415\t31.190000\n1404745016\t31.190000\n1404745616\t31.250000\n1404746217\t31.250000\n1404746817\t31.250000\n1404747418\t31.250000\n1404748019\t30.620000\n1404748619\t30.000000\n1404749220\t29.620000\n1404749820\t29.380000\n1404750421\t29.250000\n1404751021\t29.190000\n1404751622\t29.060000\n1404752222\t28.880000\n1404752823\t28.750000\n1404753423\t28.620000\n1404754024\t28.560000\n1404754624\t28.500000\n1404755240\t28.440000\n1404755840\t28.380000\n1404756441\t28.250000\n1404757041\t28.060000\n1404757642\t28.940000\n1404758243\t29.560000\n1404758843\t29.880000\n1404759444\t30.120000\n1404760044\t30.250000\n1404760645\t30.440000\n1404761245\t30.500000\n1404761846\t30.560000\n1404762446\t30.620000\n1404763047\t30.690000\n1404763647\t30.750000\n1404764248\t30.810000\n1404764848\t30.880000\n1404765449\t30.880000\n1404766049\t30.940000\n1404766650\t30.940000\n1404767250\t31.000000\n1404767851\t31.000000\n1404768451\t31.000000\n1404769052\t31.060000\n1404769652\t31.060000\n1404770253\t31.060000\n1404770853\t31.060000\n1404771454\t31.120000\n1404772054\t31.120000\n1404772655\t31.120000\n1404773270\t31.120000\n1404773871\t31.190000\n1404774472\t31.190000\n1404775072\t31.190000\n1404775673\t31.190000\n1404776273\t31.250000\n1404776874\t31.310000\n1404777474\t31.250000\n1404778075\t31.310000\n1404778675\t31.310000\n1404779276\t31.310000\n1404779876\t31.310000\n1404780477\t31.310000\n1404781077\t31.310000\n1404781678\t31.380000\n1404782278\t31.380000\n1404782879\t31.380000\n1404783479\t31.380000\n1404784080\t31.380000\n1404784680\t31.380000\n1404785281\t31.440000\n1404785881\t31.440000\n1404786482\t31.440000\n1404787082\t31.440000\n1404787683\t31.440000\n1404788283\t31.440000\n1404788884\t31.440000\n1404789484\t31.440000\n1404790085\t31.440000\n1404790700\t31.500000\n1404791301\t31.500000\n1404791901\t31.500000\n1404792502\t31.500000\n1404793102\t31.500000\n1404793703\t31.560000\n1404794304\t31.560000\n1404794904\t31.620000\n1404795505\t31.620000\n1404796105\t31.620000\n1404796706\t31.560000\n1404797306\t31.560000\n1404797907\t31.560000\n1404798507\t31.560000\n1404799108\t31.560000\n1404799708\t31.560000\n1404800309\t31.620000\n1404800909\t31.690000\n1404801510\t31.620000\n1404802111\t31.620000\n1404802711\t31.620000\n1404803312\t31.620000\n1404803912\t31.620000\n1404804513\t31.620000\n1404805113\t31.620000\n1404805714\t31.620000\n1404806314\t30.880000\n1404806915\t29.620000\n1404807515\t29.060000\n1404808116\t28.810000\n1404808731\t28.690000\n1404809332\t28.560000\n1404809932\t29.190000\n1404810533\t29.940000\n1404811133\t30.310000\n1404811734\t30.560000\n1404812334\t30.750000\n1404812935\t30.880000\n1404813535\t31.000000\n1404814136\t31.000000\n1404814736\t31.120000\n1404815337\t31.190000\n1404815937\t31.310000\n1404816538\t31.310000\n1404817139\t31.380000\n1404817739\t31.380000\n1404818340\t31.440000\n1404818940\t31.440000\n1404819541\t31.440000\n1404820141\t31.500000\n1404820742\t31.560000\n1404821342\t31.620000\n1404821943\t31.620000\n1404822543\t31.690000\n1404823144\t31.750000\n1404823744\t31.750000\n1404824345\t31.810000\n1404824945\t31.880000\n1404825546\t31.880000\n1404826146\t31.880000\n1404826762\t31.940000\n1404827363\t31.940000\n1404827963\t32.000000\n1404828563\t32.000000\n1404829164\t32.000000\n1404829765\t32.000000\n1404830365\t32.000000\n1404830966\t32.060000\n1404831566\t32.060000\n1404832167\t32.060000\n1404832767\t32.060000\n1404833368\t32.120000\n1404833968\t32.190000\n1404834569\t32.120000\n1404835169\t32.190000\n1404835770\t32.190000\n1404836370\t32.190000\n1404836971\t32.190000\n1404837571\t32.190000\n1404838172\t32.190000\n1404838772\t32.190000\n1404839373\t32.250000\n1404839973\t32.250000\n1404840574\t32.250000\n1404841174\t32.310000\n1404841775\t32.380000\n1404842375\t32.310000\n1404842976\t32.380000\n1404843576\t32.380000\n1404844177\t32.380000\n1404844792\t32.380000\n1404845393\t32.440000\n1404845994\t32.500000\n1404846594\t32.500000\n1404847195\t32.500000\n1404847795\t32.500000\n1404848396\t32.500000\n1404848996\t32.560000\n1404849597\t32.560000\n1404850197\t32.560000\n1404850798\t32.560000\n1404851398\t32.560000\n1404851999\t32.560000\n1404852599\t32.560000\n1404853200\t32.500000\n1404853800\t32.560000\n1404854401\t32.560000\n1404855001\t32.560000\n1404855602\t32.620000\n1404856202\t32.620000\n1404856803\t32.620000\n1404857403\t32.620000\n1404858004\t32.690000\n1404858604\t32.690000\n1404859205\t32.690000\n1404859806\t32.690000\n1404860406\t32.690000\n1404861007\t32.690000\n1404861607\t32.690000\n1404862223\t32.690000\n1404862823\t32.690000\n1404863424\t32.690000\n1404864024\t32.620000\n1404864625\t32.620000\n1404865225\t32.620000\n1404865826\t32.690000\n1404866426\t32.690000\n1404867027\t32.690000\n1404867627\t32.690000\n1404868228\t32.690000\n1404868828\t32.750000\n1404869429\t32.750000\n1404870029\t32.750000\n1404870630\t32.750000\n1404871230\t32.750000\n1404871831\t32.690000\n1404872432\t32.690000\n1404873032\t32.690000\n1404873633\t32.690000\n1404874233\t32.690000\n1404874834\t32.690000\n1404875434\t32.750000\n1404876035\t32.750000\n1404876635\t32.750000\n1404877236\t32.750000\n1404877836\t32.750000\n1404878437\t32.810000\n1404879037\t32.810000\n1404879638\t32.810000\n1404880254\t32.810000\n1404880854\t32.810000\n1404881455\t32.810000\n1404882055\t32.810000\n1404882656\t32.880000\n1404883256\t32.880000\n1404883857\t32.810000\n1404884457\t32.880000\n1404885058\t32.810000\n1404885658\t32.880000\n1404886259\t32.880000\n1404886859\t32.880000\n1404887460\t32.880000\n1404888060\t32.880000\n1404888661\t32.880000\n1404889261\t32.880000\n1404889862\t32.940000\n1404890462\t32.940000\n1404891063\t32.940000\n1404891663\t32.880000\n1404892264\t32.940000\n1404892865\t32.880000\n1404893465\t32.940000\n1404894066\t32.940000\n1404894666\t32.940000\n1404895267\t32.940000\n1404895867\t32.880000\n1404896468\t32.880000\n1404897068\t32.880000\n1404897669\t32.940000\n1404898269\t32.880000\n1404898885\t31.940000\n1404899485\t30.940000\n1404900086\t30.440000\n1404900686\t30.060000\n1404901287\t29.810000\n1404901887\t29.690000\n1404902488\t29.620000\n1404903088\t29.560000\n1404903689\t29.500000\n1404904289\t29.440000\n1404904890\t29.440000\n1404905491\t29.380000\n1404906091\t29.380000\n1404906692\t29.380000\n1404907292\t29.310000\n1404907893\t29.250000\n1404908493\t29.250000\n1404909094\t29.380000\n1404909694\t29.380000\n1404910295\t29.380000\n1404910895\t29.310000\n1404911496\t29.310000\n1404912096\t29.310000\n1404912697\t29.310000\n1404913297\t29.310000\n1404913913\t29.250000\n1404914513\t29.310000\n1404915114\t29.310000\n1404915714\t29.310000\n1404916315\t29.250000\n1404916915\t29.190000\n1404917516\t29.250000\n1404918116\t29.190000\n1404918717\t29.190000\n1404919318\t29.120000\n1404919918\t29.120000\n1404920519\t29.060000\n1404921119\t29.120000\n1404921720\t29.060000\n1404922320\t29.120000\n1404922921\t29.310000\n1404923521\t30.120000\n1404924122\t30.560000\n1404924722\t30.880000\n1404925323\t31.060000\n1404925924\t31.190000\n1404926524\t31.250000\n1404927125\t31.380000\n1404927725\t31.440000\n1404928326\t31.560000\n1404928926\t31.620000\n1404929527\t31.620000\n1404930127\t31.690000\n1404930728\t31.750000\n1404931328\t31.750000\n1404931944\t31.750000\n1404932544\t31.810000\n1404933145\t31.810000\n1404933745\t31.880000\n1404934346\t31.880000\n1404934946\t31.940000\n1404935547\t31.940000\n1404936147\t32.000000\n1404936748\t32.000000\n1404937348\t32.060000\n1404937949\t32.060000\n1404938549\t32.120000\n1404939150\t32.120000\n1404939751\t32.190000\n1404940351\t32.190000\n1404940952\t32.190000\n1404941552\t32.190000\n1404942153\t32.190000\n1404942753\t32.190000\n1404943354\t32.190000\n1404943954\t32.190000\n1404944555\t32.250000\n1404945155\t32.310000\n1404945756\t32.310000\n1404946356\t32.310000\n1404946957\t32.310000\n1404947557\t32.310000\n1404948158\t32.310000\n1404948758\t32.310000\n1404949374\t32.310000\n1404949974\t32.310000\n1404950575\t32.310000\n1404951175\t32.380000\n1404951776\t32.380000\n1404952377\t32.380000\n1404952977\t32.380000\n1404953578\t32.380000\n1404954178\t32.380000\n1404954779\t32.310000\n1404955379\t32.310000\n1404955980\t32.310000\n1404956580\t32.250000\n1404957181\t32.250000\n1404957781\t32.190000\n1404958382\t32.190000\n1404958982\t32.190000\n1404959583\t32.120000\n1404960183\t32.120000\n1404960784\t32.120000\n1404961384\t32.120000\n1404961985\t32.120000\n1404962585\t32.120000\n1404963186\t32.120000\n1404963786\t32.120000\n1404964387\t32.120000\n1404964987\t32.120000\n1404965588\t32.120000\n1404966203\t32.120000\n1404966804\t32.190000\n1404967404\t32.190000\n1404968005\t32.190000\n1404968605\t32.190000\n1404969206\t32.250000\n1404969806\t32.310000\n1404970407\t32.250000\n1404971008\t32.310000\n1404971608\t32.310000\n1404972209\t32.310000\n1404972809\t32.310000\n1404973410\t32.310000\n1404974010\t32.310000\n1404974611\t32.310000\n1404975211\t32.310000\n1404975812\t32.310000\n1404976412\t32.310000\n1404977013\t32.310000\n1404977613\t32.310000\n1404978214\t32.310000\n1404978815\t32.310000\n1404979415\t32.250000\n1404980016\t32.310000\n1404980616\t32.310000\n1404981217\t32.310000\n1404981817\t32.310000\n1404982418\t32.310000\n1404983018\t32.310000\n1404983619\t32.380000\n1404984219\t32.380000\n1404984835\t32.440000\n1404985435\t32.440000\n1404986036\t32.440000\n1404986636\t32.380000\n1404987237\t32.440000\n1404987837\t32.440000\n1404988438\t32.500000\n1404989038\t32.500000\n1404989639\t32.500000\n1404990239\t32.500000\n1404990840\t32.500000\n1404991440\t32.500000\n1404992041\t32.500000\n1404992641\t32.560000\n1404993242\t32.620000\n1404993842\t32.620000\n1404994443\t32.620000\n1404995044\t32.620000\n1404995644\t32.620000\n1404996245\t32.690000\n1404996845\t32.690000\n1404997446\t32.750000\n1404998046\t32.750000\n1404998647\t32.810000\n1404999247\t32.750000\n1404999848\t32.750000\n1405000448\t32.810000\n1405001049\t32.810000\n1405001649\t32.810000\n1405002250\t32.880000\n1405002865\t32.880000\n1405003466\t32.940000\n1405004067\t32.880000\n1405004667\t32.880000\n1405005268\t32.880000\n1405005868\t32.940000\n1405006469\t32.940000\n1405007069\t33.000000\n1405007670\t32.940000\n1405008270\t32.940000\n1405008871\t32.940000\n1405009471\t32.940000\n1405010072\t32.940000\n1405010672\t33.000000\n1405011273\t33.000000\n1405011874\t33.000000\n1405012474\t33.000000\n1405013075\t33.000000\n1405013675\t33.000000\n1405014276\t33.060000\n1405014876\t33.060000\n1405015477\t33.120000\n1405016077\t33.120000\n1405016678\t33.120000\n1405017278\t33.060000\n1405017879\t33.120000\n1405018479\t33.060000\n1405019080\t33.120000\n1405019680\t33.120000\n1405020281\t33.120000\n1405020881\t33.120000\n1405021497\t33.120000\n1405022097\t33.120000\n1405022698\t33.120000\n1405023299\t33.120000\n1405023899\t33.120000\n1405024500\t33.120000\n1405025100\t33.120000\n1405025701\t33.060000\n1405026301\t33.120000\n1405026902\t33.060000\n1405027502\t33.060000\n1405028103\t33.120000\n1405028703\t33.120000\n1405029304\t33.060000\n1405029904\t33.060000\n1405030505\t33.060000\n1405031105\t33.060000\n1405031706\t33.120000\n1405032306\t33.120000\n1405032907\t33.120000\n1405033507\t33.060000\n1405034108\t33.060000\n1405034709\t33.060000\n1405035309\t33.120000\n1405035910\t33.120000\n1405036510\t33.060000\n1405037111\t33.060000\n1405037711\t33.000000\n1405038312\t33.000000\n1405038912\t33.000000\n1405039513\t33.000000\n1405040128\t33.000000\n1405040729\t33.000000\n1405041329\t33.000000\n1405041930\t33.000000\n1405042530\t33.000000\n1405043131\t33.000000\n1405043731\t33.000000\n1405044332\t33.000000\n1405044932\t33.000000\n1405045533\t33.000000\n1405046133\t33.000000\n1405046734\t33.000000\n1405047334\t33.000000\n1405047935\t33.000000\n1405048536\t33.000000\n1405049136\t33.000000\n1405049737\t33.000000\n1405050337\t33.000000\n1405050938\t33.000000\n1405051538\t32.940000\n1405052139\t33.000000\n1405052739\t32.940000\n1405053340\t32.940000\n1405053940\t32.940000\n1405054541\t32.940000\n1405055141\t32.880000\n1405055742\t32.940000\n1405056357\t32.880000\n1405056958\t32.880000\n1405057558\t32.880000\n1405058159\t32.880000\n1405058759\t32.880000\n1405059360\t32.810000\n1405059961\t32.880000\n1405060561\t32.880000\n1405061162\t32.810000\n1405061762\t32.810000\n1405062363\t32.750000\n1405062963\t32.750000\n1405063564\t32.750000\n1405064164\t32.750000\n1405064765\t32.750000\n1405065365\t32.750000\n1405065966\t32.690000\n1405066566\t32.690000\n1405067167\t32.690000\n1405067767\t32.750000\n1405068368\t32.750000\n1405068968\t32.690000\n1405069569\t32.620000\n1405070169\t32.620000\n1405070770\t32.560000\n1405071370\t32.560000\n1405071971\t32.560000\n1405072571\t32.560000\n1405073172\t32.560000\n1405073773\t32.560000\n1405074388\t32.560000\n1405074989\t32.560000\n1405075589\t32.560000\n1405076190\t32.560000\n1405076790\t32.560000\n1405077391\t32.560000\n1405077991\t32.560000\n1405078592\t32.560000\n1405079192\t32.560000\n1405079793\t32.560000\n1405080393\t32.620000\n1405080994\t32.560000\n1405081594\t32.560000\n1405082195\t32.560000\n1405082795\t32.620000\n1405083396\t32.620000\n1405083996\t32.560000\n1405084597\t32.560000\n1405085197\t32.620000\n1405085798\t32.560000\n1405086398\t32.620000\n1405086999\t32.620000\n1405087599\t32.620000\n1405088200\t32.620000\n1405088800\t32.620000\n1405089401\t32.620000\n1405090001\t32.690000\n1405090602\t32.620000\n1405091202\t32.620000\n1405091803\t32.620000\n1405092419\t32.560000\n1405093019\t32.560000\n1405093620\t32.560000\n1405094220\t32.620000\n1405094821\t32.620000\n1405095421\t32.560000\n1405096022\t32.560000\n1405096622\t32.560000\n1405097223\t32.560000\n1405097823\t32.560000\n1405098424\t32.560000\n1405099024\t32.560000\n1405099625\t32.560000\n1405100225\t32.560000\n1405100826\t32.560000\n1405101426\t32.560000\n1405102027\t32.560000\n1405102628\t32.620000\n1405103228\t32.560000\n1405103829\t32.620000\n1405104429\t32.560000\n1405105030\t32.620000\n1405105630\t32.690000\n1405106231\t32.690000\n1405106831\t32.690000\n1405107432\t32.690000\n1405108032\t32.750000\n1405108633\t32.750000\n1405109233\t32.690000\n1405109834\t32.750000\n1405110434\t32.750000\n1405111035\t32.750000\n1405111635\t32.750000\n1405112236\t32.750000\n1405112851\t32.690000\n1405113452\t32.690000\n1405114052\t32.690000\n1405114653\t32.690000\n1405115253\t32.690000\n1405115854\t32.620000\n1405116454\t32.620000\n1405117055\t32.690000\n1405117655\t32.690000\n1405118255\t32.690000\n1405118856\t32.690000\n1405119457\t32.620000\n1405120057\t32.620000\n1405120658\t32.620000\n1405121258\t32.620000\n1405121859\t32.620000\n1405122459\t32.620000\n1405123060\t32.620000\n1405123660\t32.620000\n1405124261\t32.620000\n1405124861\t32.620000\n1405125462\t32.560000\n1405126062\t32.560000\n1405126663\t32.560000\n1405127278\t32.500000\n1405127879\t32.500000\n1405128479\t32.500000\n1405129080\t32.500000\n1405129680\t32.500000\n1405130281\t32.440000\n1405130882\t32.440000\n1405131482\t32.500000\n1405132083\t32.440000\n1405132683\t32.440000\n1405133284\t32.440000\n1405133884\t32.440000\n1405134485\t32.440000\n1405135085\t32.380000\n1405135686\t32.440000\n1405136286\t32.380000\n1405136887\t32.380000\n1405137487\t32.380000\n1405138088\t32.380000\n1405138688\t32.380000\n1405139289\t32.380000\n1405139889\t32.310000\n1405140490\t32.380000\n1405141090\t32.380000\n1405141691\t32.310000\n1405142291\t32.380000\n1405142892\t32.380000\n1405143493\t32.380000\n1405144093\t32.380000\n1405144694\t32.310000\n1405145294\t32.310000\n1405145910\t32.310000\n1405146510\t32.380000\n1405147111\t32.380000\n1405147711\t32.380000\n1405148312\t32.310000\n1405148912\t32.310000\n1405149513\t32.310000\n1405150113\t32.310000\n1405150714\t32.380000\n1405151314\t32.380000\n1405151915\t32.310000\n1405152515\t32.310000\n1405153116\t32.310000\n1405153717\t32.310000\n1405154317\t32.310000\n1405154918\t32.310000\n1405155518\t32.310000\n1405156119\t32.250000\n1405156719\t32.250000\n1405157320\t32.190000\n1405157920\t32.190000\n1405158521\t32.250000\n1405159121\t32.190000\n1405159722\t32.250000\n1405160322\t32.190000\n1405160923\t32.190000\n1405161523\t32.190000\n1405162124\t32.190000\n1405162724\t32.190000\n1405163340\t32.190000\n1405163940\t32.250000\n1405164541\t32.190000\n1405165141\t32.190000\n1405165742\t32.190000\n1405166343\t32.190000\n1405166943\t32.120000\n1405167544\t32.120000\n1405168144\t32.120000\n1405168745\t32.190000\n1405169345\t32.190000\n1405169946\t32.250000\n1405170546\t32.250000\n1405171147\t32.250000\n1405171747\t32.250000\n1405172348\t32.250000\n1405172948\t32.250000\n1405173549\t32.310000\n1405174149\t32.310000\n1405174750\t32.310000\n1405175350\t32.310000\n1405175951\t32.310000\n1405176551\t32.310000\n1405177152\t32.310000\n1405177752\t32.310000\n1405178353\t32.250000\n1405178954\t32.250000\n1405179554\t32.250000\n1405180170\t32.250000\n1405180770\t32.250000\n1405181371\t32.310000\n1405181971\t32.250000\n1405182572\t32.250000\n1405183172\t32.310000\n1405183773\t32.310000\n1405184373\t32.310000\n1405184974\t32.310000\n1405185574\t32.310000\n1405186175\t32.310000\n1405186775\t32.310000\n1405187376\t32.310000\n1405187977\t32.310000\n1405188577\t32.310000\n1405189178\t32.310000\n1405189778\t32.310000\n1405190379\t32.310000\n1405190979\t32.310000\n1405191580\t32.250000\n1405192180\t32.250000\n1405192781\t32.250000\n1405193381\t32.190000\n1405193982\t32.190000\n1405194582\t32.190000\n1405195183\t32.190000\n1405195783\t32.190000\n1405196384\t32.190000\n1405196984\t32.190000\n1405197600\t32.190000\n1405198201\t32.190000\n1405198801\t32.190000\n1405199402\t32.190000\n1405200002\t32.250000\n1405200603\t32.250000\n1405201203\t32.250000\n1405201804\t32.250000\n1405202404\t32.250000\n1405203005\t32.250000\n1405203605\t32.250000\n1405204206\t32.310000\n1405204806\t32.310000\n1405205407\t32.310000\n1405206007\t32.310000\n1405206608\t32.310000\n1405207208\t32.380000\n1405207809\t32.310000\n1405208409\t32.310000\n1405209010\t32.310000\n1405209610\t32.310000\n1405210211\t32.310000\n1405210811\t32.310000\n1405211412\t32.310000\n1405212012\t32.310000\n1405212613\t32.310000\n1405213214\t32.310000\n1405213814\t32.380000\n1405214430\t32.380000\n1405215030\t32.380000\n1405215631\t32.380000\n1405216231\t32.380000\n1405216832\t32.380000\n1405217432\t32.380000\n1405218033\t32.380000\n1405218633\t32.380000\n1405219234\t32.310000\n1405219834\t32.310000\n1405220435\t32.310000\n1405221035\t32.310000\n1405221636\t32.250000\n1405222236\t32.250000\n1405222837\t32.250000\n1405223437\t32.250000\n1405224038\t32.190000\n1405224638\t32.250000\n1405225239\t32.190000\n1405225840\t32.250000\n1405226440\t32.190000\n1405227041\t32.190000\n1405227641\t32.190000\n1405228242\t32.250000\n1405228842\t32.250000\n1405229443\t32.250000\n1405230043\t32.190000\n1405230644\t32.250000\n1405231244\t32.250000\n1405231860\t32.250000\n1405232460\t32.250000\n1405233061\t32.250000\n1405233661\t32.250000\n1405234262\t32.250000\n1405234862\t32.310000\n1405235463\t32.250000\n1405236063\t32.310000\n1405236664\t32.310000\n1405237264\t32.250000\n1405237865\t32.250000\n1405238466\t32.250000\n1405239066\t32.250000\n1405239667\t32.250000\n1405240267\t32.190000\n1405240868\t32.190000\n1405241468\t32.190000\n1405242069\t32.250000\n1405242669\t32.190000\n1405243270\t32.250000\n1405243870\t32.190000\n1405244471\t32.190000\n1405245071\t32.190000\n1405245672\t32.120000\n1405246272\t32.190000\n1405246873\t32.120000\n1405247473\t32.120000\n1405248074\t32.120000\n1405248675\t32.120000\n1405249275\t32.120000\n1405249891\t32.000000\n1405250491\t32.060000\n1405251092\t32.060000\n1405251692\t32.060000\n1405252293\t32.060000\n1405252893\t32.120000\n1405253494\t32.120000\n1405254094\t32.120000\n1405254695\t32.120000\n1405255295\t32.120000\n1405255896\t32.190000\n1405256496\t32.190000\n1405257097\t32.190000\n1405257697\t32.190000\n1405258298\t32.250000\n1405258899\t32.250000\n1405259499\t32.250000\n1405260100\t32.250000\n1405260700\t32.250000\n1405261301\t32.250000\n1405261901\t32.250000\n1405262502\t32.250000\n1405263102\t32.310000\n1405263703\t32.310000\n1405264303\t32.310000\n1405264904\t32.310000\n1405265504\t32.310000\n1405266105\t32.380000\n1405266705\t32.380000\n1405267306\t32.380000\n1405267921\t32.380000\n1405268522\t32.380000\n1405269123\t32.380000\n1405269723\t32.380000\n1405270324\t32.310000\n1405270924\t32.310000\n1405271525\t32.310000\n1405272125\t32.380000\n1405272726\t32.380000\n1405273326\t32.380000\n1405273927\t32.380000\n1405274527\t32.380000\n1405275128\t32.380000\n1405275728\t32.440000\n1405276329\t32.440000\n1405276929\t32.440000\n1405277530\t32.500000\n1405278130\t32.500000\n1405278731\t32.440000\n1405279331\t32.500000\n1405279932\t32.500000\n1405280532\t32.500000\n1405281133\t32.500000\n1405281734\t32.560000\n1405282334\t32.560000\n1405282935\t32.560000\n1405283535\t32.500000\n1405284136\t32.560000\n1405284736\t32.560000\n1405285337\t32.560000\n1405285952\t32.560000\n1405286553\t32.560000\n1405287153\t32.620000\n1405287754\t32.620000\n1405288354\t32.620000\n1405288955\t32.620000\n1405289555\t32.690000\n1405290156\t32.690000\n1405290756\t32.690000\n1405291357\t32.690000\n1405291957\t32.690000\n1405292558\t32.750000\n1405293158\t32.690000\n1405293759\t32.690000\n1405294359\t32.620000\n1405294960\t32.690000\n1405295560\t32.690000\n1405296161\t32.750000\n1405296761\t32.690000\n1405297362\t32.690000\n1405297963\t32.690000\n1405298563\t32.750000\n1405299164\t32.750000\n1405299764\t32.750000\n1405300365\t32.750000\n1405300965\t32.690000\n1405301566\t32.690000\n1405302166\t32.620000\n1405302767\t32.620000\n1405303382\t32.620000\n1405303983\t32.560000\n1405304583\t32.560000\n1405305184\t32.560000\n1405305784\t32.560000\n1405306385\t32.560000\n1405306985\t32.500000\n1405307586\t32.500000\n1405308186\t32.560000\n1405308787\t32.560000\n1405309387\t32.560000\n1405309988\t32.500000\n1405310588\t32.560000\n1405311189\t32.560000\n1405311789\t32.560000\n1405312390\t32.560000\n1405312990\t32.560000\n1405313591\t32.500000\n1405314192\t32.500000\n1405314792\t32.440000\n1405315393\t32.310000\n1405315993\t32.310000\n1405316594\t32.310000\n1405317194\t32.380000\n1405317795\t32.440000\n1405318395\t32.440000\n1405318996\t32.440000\n1405319596\t32.380000\n1405320197\t32.440000\n1405320812\t32.440000\n1405321413\t32.440000\n1405322013\t32.500000\n1405322614\t32.500000\n1405323214\t32.500000\n1405323815\t32.560000\n1405324415\t32.560000\n1405325016\t32.620000\n1405325617\t32.620000\n1405326217\t32.620000\n1405326818\t32.690000\n1405327418\t32.690000\n1405328019\t32.690000\n1405328619\t32.750000\n1405329220\t32.750000\n1405329820\t32.690000\n1405330421\t32.690000\n1405331021\t32.690000\n1405331622\t32.750000\n1405332222\t32.750000\n1405332823\t32.750000\n1405333423\t32.750000\n1405334024\t32.750000\n1405334624\t32.810000\n1405335225\t32.810000\n1405335825\t32.810000\n1405336426\t32.880000\n1405337026\t32.810000\n1405337642\t32.810000\n1405338242\t32.810000\n1405338843\t32.880000\n1405339444\t32.750000\n1405340044\t32.750000\n1405340645\t32.810000\n1405341245\t32.810000\n1405341846\t32.880000\n1405342446\t32.880000\n1405343047\t32.880000\n1405343647\t32.880000\n1405344248\t32.940000\n1405344848\t32.940000\n1405345449\t32.940000\n1405346049\t32.940000\n1405346650\t32.940000\n1405347250\t32.940000\n1405347851\t32.880000\n1405348451\t32.940000\n1405349052\t32.940000\n1405349652\t32.880000\n1405350253\t32.940000\n1405350854\t32.940000\n1405351454\t32.940000\n1405352055\t32.940000\n1405352655\t32.940000\n1405353256\t32.940000\n1405353856\t32.940000\n1405354457\t32.940000\n1405355057\t32.940000\n1405355673\t32.940000\n1405356273\t33.000000\n1405356874\t32.940000\n1405357474\t33.000000\n1405358075\t32.940000\n1405358675\t32.940000\n1405359276\t32.940000\n1405359876\t32.940000\n1405360477\t32.940000\n1405361077\t32.940000\n1405361678\t32.940000\n1405362279\t32.940000\n1405362879\t32.940000\n1405363479\t32.940000\n1405364080\t32.940000\n1405364681\t32.940000\n1405365281\t32.940000\n1405365882\t32.940000\n1405366482\t32.940000\n1405367083\t32.940000\n1405367683\t32.940000\n1405368284\t32.880000\n1405368884\t32.880000\n1405369485\t32.940000\n1405370085\t32.940000\n1405370686\t32.880000\n1405371286\t32.940000\n1405371887\t32.940000\n1405372487\t32.880000\n1405373088\t32.940000\n1405373704\t32.940000\n1405374304\t32.940000\n1405374905\t32.880000\n1405375505\t32.880000\n1405376106\t32.880000\n1405376706\t32.880000\n1405377307\t32.940000\n1405377907\t32.880000\n1405378508\t32.880000\n1405379108\t32.880000\n1405379709\t32.880000\n1405380309\t32.940000\n1405380910\t32.880000\n1405381510\t32.880000\n1405382111\t32.880000\n1405382712\t32.880000\n1405383312\t32.880000\n1405383913\t32.880000\n1405384513\t32.880000\n1405385114\t32.880000\n1405385714\t32.810000\n1405386315\t32.810000\n1405386915\t32.810000\n1405387516\t32.810000\n1405388116\t32.810000\n1405388717\t32.810000\n1405389317\t32.810000\n1405389918\t32.810000\n1405390518\t32.810000\n1405391119\t32.810000\n1405391719\t32.810000\n1405392335\t32.810000\n1405392935\t32.810000\n1405393536\t32.810000\n1405394137\t32.750000\n1405394737\t32.810000\n1405395338\t32.750000\n1405395938\t32.810000\n1405396539\t32.750000\n1405397139\t32.810000\n1405397740\t32.810000\n1405398340\t32.810000\n1405398941\t32.810000\n1405399541\t32.810000\n1405400142\t32.810000\n1405400742\t32.880000\n1405401343\t32.880000\n1405401943\t32.810000\n1405402544\t32.810000\n1405403144\t32.750000\n1405403745\t32.750000\n1405404346\t32.750000\n1405404946\t32.690000\n1405405547\t32.690000\n1405406147\t32.690000\n1405406748\t32.620000\n1405407348\t32.620000\n1405407949\t32.690000\n1405408564\t32.750000\n1405409165\t32.690000\n1405409765\t32.690000\n1405410366\t32.690000\n1405410966\t32.750000\n1405411567\t32.620000\n1405412167\t32.500000\n1405412768\t32.500000\n1405413368\t32.440000\n1405413969\t32.500000\n1405414569\t32.500000\n1405415170\t32.560000\n1405415770\t32.500000\n1405416371\t32.440000\n1405416972\t32.440000\n1405417572\t32.500000\n1405418173\t32.500000\n1405418773\t32.380000\n1405419374\t32.440000\n1405419974\t32.380000\n1405420575\t32.380000\n1405421175\t32.380000\n1405421776\t32.440000\n1405422376\t32.440000\n1405422977\t32.310000\n1405423577\t32.250000\n1405424178\t32.120000\n1405424779\t32.120000\n1405425379\t32.060000\n1405425980\t32.060000\n1405426595\t32.060000\n1405427196\t32.060000\n1405427796\t32.190000\n1405428397\t32.190000\n1405428997\t32.250000\n1405429598\t32.310000\n1405430198\t32.380000\n1405430799\t32.380000\n1405431399\t32.380000\n1405432000\t32.440000\n1405432600\t32.560000\n1405433201\t32.620000\n1405433801\t32.690000\n1405434402\t32.690000\n1405435003\t32.620000\n1405435603\t32.620000\n1405436204\t32.620000\n1405436804\t32.690000\n1405437405\t32.560000\n1405438005\t32.500000\n1405438606\t32.500000\n1405439206\t32.500000\n1405439807\t32.560000\n1405440407\t32.560000\n1405441008\t32.620000\n1405441608\t32.690000\n1405442209\t32.620000\n1405442825\t32.690000\n1405443425\t32.750000\n1405444026\t32.750000\n1405444626\t32.750000\n1405445227\t32.750000\n1405445827\t32.810000\n1405446428\t32.810000\n1405447028\t32.690000\n1405447629\t32.560000\n1405448229\t32.620000\n1405448830\t32.560000\n1405449430\t32.560000\n1405450031\t32.560000\n1405450631\t32.620000\n1405451232\t32.750000\n1405451832\t32.810000\n1405452433\t32.810000\n1405453033\t32.810000\n1405453634\t32.880000\n1405454234\t32.880000\n1405454835\t32.810000\n1405455435\t32.880000\n1405456036\t32.810000\n1405456636\t32.750000\n1405457237\t32.690000\n1405457837\t32.620000\n1405458438\t32.560000\n1405459038\t32.560000\n1405459654\t32.620000\n1405460254\t32.620000\n1405460855\t32.560000\n1405461456\t32.560000\n1405462056\t32.620000\n1405462657\t32.560000\n1405463257\t32.690000\n1405463858\t32.750000\n1405464458\t32.810000\n1405465059\t32.810000\n1405465659\t32.810000\n1405466260\t32.750000\n1405466860\t32.620000\n1405467461\t32.620000\n1405468061\t32.560000\n1405468662\t32.560000\n1405469262\t32.560000\n1405469863\t32.560000\n1405470463\t32.500000\n1405471064\t32.440000\n1405471664\t32.440000\n1405472265\t32.440000\n1405472865\t32.500000\n1405473466\t32.440000\n1405474067\t32.500000\n1405474667\t32.620000\n1405475268\t32.690000\n1405475868\t32.690000\n1405476469\t32.750000\n1405477084\t32.690000\n1405477685\t32.690000\n1405478285\t32.750000\n1405478886\t32.750000\n1405479486\t32.620000\n1405480087\t32.560000\n1405480687\t32.500000\n1405481288\t32.500000\n1405481888\t32.560000\n1405482489\t32.560000\n1405483089\t32.620000\n1405483690\t32.620000\n1405484290\t32.560000\n1405484891\t32.500000\n1405485492\t32.380000\n1405486092\t32.380000\n1405486693\t32.380000\n1405487293\t32.380000\n1405487894\t32.380000\n1405488494\t32.310000\n1405489095\t32.310000\n1405489695\t32.380000\n1405490296\t32.380000\n1405490896\t32.380000\n1405491497\t32.310000\n1405492097\t32.310000\n1405492698\t32.250000\n1405493298\t32.190000\n1405493899\t32.190000\n1405494515\t32.120000\n1405495115\t32.250000\n1405495715\t32.190000\n1405496316\t32.120000\n1405496917\t32.120000\n1405497517\t32.120000\n1405498118\t32.190000\n1405498718\t32.250000\n1405499319\t32.310000\n1405499919\t32.250000\n1405500520\t32.250000\n1405501120\t30.560000\n1405501721\t28.560000\n1405502321\t27.620000\n1405502922\t27.190000\n1405503522\t26.880000\n1405504123\t26.690000\n1405504723\t26.620000\n1405505324\t26.560000\n1405505924\t26.500000\n1405506525\t26.440000\n1405507125\t26.380000\n1405507726\t26.440000\n1405508327\t26.380000\n1405508927\t26.440000\n1405509528\t26.440000\n1405510128\t26.500000\n1405510728\t26.440000\n1405511329\t26.380000\n1405511930\t26.380000\n1405512545\t26.380000\n1405513146\t26.310000\n1405513746\t26.380000\n1405514347\t26.500000\n1405514947\t26.620000\n1405515548\t26.620000\n1405516148\t26.560000\n1405516749\t26.500000\n1405517349\t26.940000\n1405517950\t28.060000\n1405518550\t28.690000\n1405519151\t29.060000\n1405519751\t29.380000\n1405520352\t29.690000\n1405520952\t29.810000\n1405521553\t29.940000\n1405522153\t30.060000\n1405522754\t30.250000\n1405523354\t30.380000\n1405523955\t30.440000\n1405524555\t30.500000\n1405525156\t30.620000\n1405525756\t30.690000\n1405526357\t30.750000\n1405526957\t30.750000\n1405527558\t30.810000\n1405528158\t30.940000\n1405528759\t31.000000\n1405529359\t31.000000\n1405529960\t31.060000\n1405530561\t31.120000\n1405531161\t31.190000\n1405531777\t31.190000\n1405532377\t31.250000\n1405532978\t31.310000\n1405533578\t31.310000\n1405534179\t31.380000\n1405534779\t31.380000\n1405535380\t31.380000\n1405535980\t31.440000\n1405536581\t31.380000\n1405537181\t31.440000\n1405537782\t31.440000\n1405538382\t31.440000\n1405538983\t31.440000\n1405539583\t31.500000\n1405540184\t31.500000\n1405540784\t31.560000\n1405541385\t31.560000\n1405541986\t31.620000\n1405542586\t31.620000\n1405543187\t31.620000\n1405543787\t31.620000\n1405544388\t31.620000\n1405544988\t31.620000\n1405545589\t31.620000\n1405546189\t31.620000\n1405546790\t31.690000\n1405547390\t31.620000\n1405547991\t31.620000\n1405548591\t31.690000\n1405549192\t31.690000\n1405549792\t31.690000\n1405550393\t31.690000\n1405550993\t31.690000\n1405551609\t31.690000\n1405552210\t31.690000\n1405552810\t31.690000\n1405553411\t31.690000\n1405554011\t31.690000\n1405554612\t31.690000\n1405555212\t31.690000\n1405555813\t31.690000\n1405556413\t31.690000\n1405557014\t31.750000\n1405557614\t31.750000\n1405558215\t31.750000\n1405558815\t31.750000\n1405559416\t31.690000\n1405560016\t31.750000\n1405560617\t31.750000\n1405561217\t31.750000\n1405561818\t31.750000\n1405562419\t31.750000\n1405563019\t31.750000\n1405563620\t31.750000\n1405564220\t31.750000\n1405564821\t31.750000\n1405565421\t31.750000\n1405566022\t31.690000\n1405566622\t31.750000\n1405567223\t31.750000\n1405567823\t31.690000\n1405568424\t31.690000\n1405569024\t31.750000\n1405569625\t31.750000\n1405570225\t31.750000\n1405570841\t31.750000\n1405571441\t31.810000\n1405572042\t31.750000\n1405572642\t31.750000\n1405573243\t31.810000\n1405573843\t31.810000\n1405574444\t31.810000\n1405575044\t31.810000\n1405575645\t31.750000\n1405576246\t31.750000\n1405576846\t31.750000\n1405577447\t31.690000\n1405578047\t31.690000\n1405578648\t31.690000\n1405579248\t31.810000\n1405579849\t31.810000\n1405580449\t31.750000\n1405581050\t31.750000\n1405581650\t31.690000\n1405582251\t31.750000\n1405582851\t31.750000\n1405583452\t31.750000\n1405584052\t31.750000\n1405584653\t31.750000\n1405585253\t31.750000\n1405585854\t31.750000\n1405586454\t31.750000\n1405587055\t31.810000\n1405587655\t31.810000\n1405588271\t31.810000\n1405588871\t31.810000\n1405589472\t31.880000\n1405590072\t31.880000\n1405590673\t30.750000\n1405591273\t28.500000\n1405591874\t27.380000\n1405592474\t26.880000\n1405593075\t26.750000\n1405593675\t26.620000\n1405594276\t26.500000\n1405594876\t26.440000\n1405595477\t26.500000\n1405596078\t26.500000\n1405596678\t26.500000\n1405597279\t26.500000\n1405597879\t26.560000\n1405598480\t26.560000\n1405599080\t26.620000\n1405599681\t26.620000\n1405600281\t26.620000\n1405600882\t26.620000\n1405601482\t26.560000\n1405602083\t26.620000\n1405602683\t26.690000\n1405603284\t26.620000\n1405603884\t26.690000\n1405604485\t26.750000\n1405605086\t26.750000\n1405605686\t26.690000\n1405606287\t26.750000\n1405606902\t26.810000\n1405607503\t26.750000\n1405608103\t26.810000\n1405608704\t26.810000\n1405609304\t26.690000\n1405609905\t26.690000\n1405610505\t26.690000\n1405611106\t26.690000\n1405611706\t26.690000\n1405612307\t26.940000\n1405612907\t26.690000\n1405613508\t26.440000\n1405614108\t26.250000\n1405614709\t26.000000\n1405615309\t25.940000\n1405615910\t25.750000\n1405616511\t25.560000\n1405617111\t26.000000\n1405617712\t27.120000\n1405618312\t27.750000\n1405618913\t28.120000\n1405619513\t28.380000\n1405620114\t28.560000\n1405620714\t28.750000\n1405621315\t28.880000\n1405621915\t29.000000\n1405622516\t29.060000\n1405623116\t29.120000\n1405623717\t29.250000\n1405624332\t29.250000\n1405624933\t29.310000\n1405625533\t29.310000\n1405626134\t29.440000\n1405626734\t29.440000\n1405627335\t29.500000\n1405627936\t29.500000\n1405628536\t29.500000\n1405629137\t29.560000\n1405629737\t29.560000\n1405630338\t29.620000\n1405630938\t29.620000\n1405631539\t29.620000\n1405632139\t29.690000\n1405632740\t29.690000\n1405633340\t29.690000\n1405633941\t29.690000\n1405634541\t29.750000\n1405635142\t29.750000\n1405635742\t29.750000\n1405636343\t29.810000\n1405636943\t29.810000\n1405637544\t29.810000\n1405638144\t29.810000\n1405638745\t29.810000\n1405639345\t29.810000\n1405639946\t29.880000\n1405640546\t29.880000\n1405641147\t29.880000\n1405641747\t29.880000\n1405642363\t29.880000\n1405642964\t29.880000\n1405643564\t29.880000\n1405644165\t29.880000\n1405644765\t29.940000\n1405645366\t29.940000\n1405645966\t29.940000\n1405646567\t29.940000\n1405647167\t29.940000\n1405647768\t30.000000\n1405648368\t29.940000\n1405648969\t29.940000\n1405649569\t30.000000\n1405650170\t29.940000\n1405650770\t30.000000\n1405651371\t29.940000\n1405651971\t29.940000\n1405652572\t30.000000\n1405653172\t29.940000\n1405653773\t30.000000\n1405654374\t30.000000\n1405654974\t30.000000\n1405655575\t30.000000\n1405656175\t30.000000\n1405656776\t29.940000\n1405657376\t30.000000\n1405657977\t30.060000\n1405658577\t30.060000\n1405659178\t30.060000\n1405659793\t30.120000\n1405660394\t30.060000\n1405660994\t30.120000\n1405661595\t30.120000\n1405662195\t30.120000\n1405662796\t30.120000\n1405663396\t30.120000\n1405663997\t30.120000\n1405664597\t30.120000\n1405665198\t30.120000\n1405665798\t30.120000\n1405666399\t30.190000\n1405666999\t30.190000\n1405667600\t30.190000\n1405668200\t30.120000\n1405668801\t30.120000\n1405669402\t30.120000\n1405670002\t30.060000\n1405670603\t30.060000\n1405671203\t30.060000\n1405671804\t30.060000\n1405672404\t30.060000\n1405673005\t30.120000\n1405673605\t30.120000\n1405674206\t30.120000\n1405674806\t30.190000\n1405675407\t30.250000\n1405676008\t30.190000\n1405676608\t30.250000\n1405677209\t30.250000\n1405677824\t30.310000\n1405678425\t30.250000\n1405679025\t30.310000\n1405679626\t30.250000\n1405680226\t30.250000\n1405680827\t30.250000\n1405681427\t30.250000\n1405682028\t29.250000\n1405682628\t27.880000\n1405683229\t27.310000\n1405683829\t26.940000\n1405684430\t26.810000\n1405685030\t26.620000\n1405685631\t26.690000\n1405686232\t26.620000\n1405686832\t26.620000\n1405687433\t26.690000\n1405688033\t26.620000\n1405688634\t26.620000\n1405689234\t26.620000\n1405689835\t26.620000\n1405690435\t26.690000\n1405691036\t26.880000\n1405691636\t26.940000\n1405692237\t26.880000\n1405692837\t26.880000\n1405693438\t26.810000\n1405694038\t26.750000\n1405694639\t26.690000\n1405695254\t26.690000\n1405695855\t26.690000\n1405696455\t26.690000\n1405697056\t27.120000\n1405697656\t27.880000\n1405698257\t28.310000\n1405698857\t28.560000\n1405699458\t28.750000\n1405700058\t28.880000\n1405700659\t28.940000\n1405701259\t29.000000\n1405701860\t29.120000\n1405702460\t29.190000\n1405703061\t29.310000\n1405703662\t29.380000\n1405704262\t29.380000\n1405704863\t29.380000\n1405705463\t29.380000\n1405706064\t29.440000\n1405706664\t29.500000\n1405707265\t29.500000\n1405707865\t29.560000\n1405708466\t29.560000\n1405709066\t29.560000\n1405709667\t29.620000\n1405710267\t29.620000\n1405710868\t29.620000\n1405711469\t29.620000\n1405712069\t29.690000\n1405712670\t29.690000\n1405713270\t29.690000\n1405713886\t29.690000\n1405714486\t29.750000\n1405715087\t29.750000\n1405715687\t29.750000\n1405716288\t29.750000\n1405716888\t29.810000\n1405717489\t29.810000\n1405718089\t29.810000\n1405718690\t29.810000\n1405719290\t29.810000\n1405719891\t29.880000\n1405720491\t29.810000\n1405721092\t29.810000\n1405721692\t29.880000\n1405722293\t29.880000\n1405722893\t29.880000\n1405723494\t29.880000\n1405724094\t29.880000\n1405724695\t29.880000\n1405725296\t29.940000\n1405725896\t29.940000\n1405726497\t29.940000\n1405727097\t29.940000\n1405727698\t29.940000\n1405728298\t29.940000\n1405728914\t29.940000\n1405729514\t29.940000\n1405730115\t29.940000\n1405730715\t29.940000\n1405731316\t29.940000\n1405731916\t29.940000\n1405732517\t29.940000\n1405733117\t29.880000\n1405733718\t29.940000\n1405734318\t29.940000\n1405734919\t29.880000\n1405735520\t29.940000\n1405736120\t29.940000\n1405736721\t29.940000\n1405737321\t29.940000\n1405737922\t29.940000\n1405738522\t29.940000\n1405739123\t30.000000\n1405739723\t30.000000\n1405740324\t30.000000\n1405740924\t29.940000\n1405741525\t30.000000\n1405742125\t30.000000\n1405742726\t30.000000\n1405743326\t30.060000\n1405743927\t30.060000\n1405744527\t30.060000\n1405745128\t30.060000\n1405745728\t30.060000\n1405746344\t30.060000\n1405746944\t30.060000\n1405747545\t30.060000\n1405748145\t30.060000\n1405748746\t30.120000\n1405749347\t30.060000\n1405749947\t30.060000\n1405750548\t30.060000\n1405751148\t30.060000\n1405751749\t30.120000\n1405752349\t30.120000\n1405752950\t30.120000\n1405753550\t30.120000\n1405754151\t30.190000\n1405754751\t30.190000\n1405755352\t30.190000\n1405755952\t30.250000\n1405756553\t30.250000\n1405757153\t30.250000\n1405757754\t30.250000\n1405758354\t30.310000\n1405758955\t30.310000\n1405759556\t30.310000\n1405760156\t30.310000\n1405760757\t30.310000\n1405761357\t30.310000\n1405761958\t30.310000\n1405762558\t30.310000\n1405763159\t30.310000\n1405763759\t30.380000\n1405764375\t30.380000\n1405764975\t30.380000\n1405765576\t30.440000\n1405766176\t30.440000\n1405766777\t30.440000\n1405767377\t30.440000\n1405767978\t30.440000\n1405768578\t30.440000\n1405769179\t30.380000\n1405769779\t30.380000\n1405770380\t29.000000\n1405770981\t28.310000\n1405771581\t27.940000\n1405772182\t27.750000\n1405772782\t27.620000\n1405773383\t27.440000\n1405773983\t27.250000\n1405774584\t27.120000\n1405775184\t26.940000\n1405775785\t26.880000\n1405776385\t26.880000\n1405776986\t26.810000\n1405777586\t26.750000\n1405778187\t26.620000\n1405778787\t26.620000\n1405779388\t27.690000\n1405779988\t28.250000\n1405780589\t28.620000\n1405781205\t28.880000\n1405781805\t29.060000\n1405782406\t29.120000\n1405783006\t29.250000\n1405783607\t29.380000\n1405784207\t29.440000\n1405784808\t29.440000\n1405785408\t29.500000\n1405786009\t29.620000\n1405786609\t29.690000\n1405787210\t29.620000\n1405787810\t29.620000\n1405788411\t29.620000\n1405789011\t29.620000\n1405789612\t29.690000\n1405790212\t29.750000\n1405790813\t29.750000\n1405791413\t29.810000\n1405792014\t29.810000\n1405792614\t29.810000\n1405793215\t29.880000\n1405793815\t29.810000\n1405794416\t29.880000\n1405795016\t29.880000\n1405795617\t29.880000\n1405796218\t29.940000\n1405796818\t29.940000\n1405797419\t29.940000\n1405798019\t30.000000\n1405798635\t30.000000\n1405799235\t30.000000\n1405799836\t30.000000\n1405800436\t30.060000\n1405801037\t30.060000\n1405801637\t30.000000\n1405802238\t30.000000\n1405802838\t30.000000\n1405803439\t30.000000\n1405804040\t30.000000\n1405804640\t30.060000\n1405805241\t30.060000\n1405805841\t30.060000\n1405806442\t30.060000\n1405807042\t30.120000\n1405807643\t30.060000\n1405808243\t30.120000\n1405808844\t30.120000\n1405809444\t30.120000\n1405810045\t30.120000\n1405810645\t30.120000\n1405811246\t30.120000\n1405811847\t30.120000\n1405812447\t30.120000\n1405813048\t30.120000\n1405813648\t30.120000\n1405814249\t30.120000\n1405814849\t30.120000\n1405815450\t30.120000\n1405816050\t30.120000\n1405816666\t30.120000\n1405817266\t30.120000\n1405817867\t30.120000\n1405818467\t30.190000\n1405819068\t30.120000\n1405819668\t30.120000\n1405820269\t30.120000\n1405820869\t30.190000\n1405821470\t30.120000\n1405822070\t30.120000\n1405822671\t30.120000\n1405823271\t30.120000\n1405823872\t30.120000\n1405824472\t30.120000\n1405825073\t30.120000\n1405825673\t30.120000\n1405826274\t30.120000\n1405826875\t30.120000\n1405827475\t30.190000\n1405828076\t30.190000\n1405828676\t30.190000\n1405829277\t30.190000\n1405829877\t30.190000\n1405830478\t30.190000\n1405831078\t30.250000\n1405831679\t30.250000\n1405832279\t30.190000\n1405832880\t30.250000\n1405833480\t30.250000\n1405834081\t30.250000\n1405834697\t30.250000\n1405835297\t30.250000\n1405835898\t30.250000\n1405836498\t30.250000\n1405837099\t30.250000\n1405837699\t30.250000\n1405838300\t30.250000\n1405838900\t30.310000\n1405839501\t30.310000\n1405840101\t30.310000\n1405840702\t30.250000\n1405841302\t30.310000\n1405841903\t30.310000\n1405842503\t30.250000\n1405843104\t30.250000\n1405843704\t30.190000\n1405844305\t30.250000\n1405844905\t30.190000\n1405845506\t30.250000\n1405846106\t28.810000\n1405846707\t27.380000\n1405847307\t26.750000\n1405847908\t26.440000\n1405848508\t26.250000\n1405849109\t26.120000\n1405849709\t26.060000\n1405850310\t26.060000\n1405850911\t26.060000\n1405851511\t26.060000\n1405852127\t26.000000\n1405852727\t26.060000\n1405853328\t26.000000\n1405853928\t26.000000\n1405854529\t26.000000\n1405855129\t26.060000\n1405855730\t26.060000\n1405856330\t26.060000\n1405856931\t26.120000\n1405857531\t26.120000\n1405858132\t26.120000\n1405858732\t26.120000\n1405859333\t26.190000\n1405859933\t26.190000\n1405860534\t26.190000\n1405861135\t26.250000\n1405861735\t26.250000\n1405862336\t26.310000\n1405862936\t26.310000\n1405863537\t26.380000\n1405864137\t26.440000\n1405864738\t26.440000\n1405865338\t26.560000\n1405865939\t26.500000\n1405866539\t26.500000\n1405867140\t26.500000\n1405867740\t26.620000\n1405868341\t26.690000\n1405868941\t26.940000\n1405869542\t27.690000\n1405870142\t28.000000\n1405870758\t28.250000\n1405871358\t28.380000\n1405871959\t28.500000\n1405872560\t28.560000\n1405873160\t28.690000\n1405873761\t28.750000\n1405874361\t28.810000\n1405874962\t28.880000\n1405875562\t28.940000\n1405876163\t28.940000\n1405876763\t29.000000\n1405877364\t29.000000\n1405877964\t29.060000\n1405878565\t29.120000\n1405879165\t29.190000\n1405879766\t29.190000\n1405880366\t29.250000\n1405880967\t29.310000\n1405881567\t29.310000\n1405882168\t29.310000\n1405882768\t29.380000\n1405883369\t29.440000\n1405883969\t29.440000\n1405884570\t29.440000\n1405885170\t29.440000\n1405885771\t29.440000\n1405886371\t29.500000\n1405886972\t29.500000\n1405887587\t29.500000\n1405888188\t29.560000\n1405888788\t29.560000\n1405889389\t29.620000\n1405889990\t29.560000\n1405890590\t29.560000\n1405891191\t29.560000\n1405891791\t29.620000\n1405892392\t29.620000\n1405892992\t29.620000\n1405893593\t29.620000\n1405894193\t29.620000\n1405894794\t29.620000\n1405895394\t29.620000\n1405895995\t29.620000\n1405896595\t29.690000\n1405897196\t29.620000\n1405897796\t29.620000\n1405898397\t29.690000\n1405898997\t29.690000\n1405899598\t29.690000\n1405900198\t29.690000\n1405900799\t29.750000\n1405901399\t29.690000\n1405902000\t29.750000\n1405902600\t29.750000\n1405903201\t29.750000\n1405903801\t29.750000\n1405904417\t29.750000\n1405905017\t29.690000\n1405905618\t29.690000\n1405906219\t29.690000\n1405906819\t29.620000\n1405907420\t29.620000\n1405908020\t29.620000\n1405908621\t29.620000\n1405909221\t29.620000\n1405909822\t29.560000\n1405910422\t29.560000\n1405911023\t29.560000\n1405911623\t29.500000\n1405912224\t29.500000\n1405912824\t29.500000\n1405913425\t29.560000\n1405914025\t29.560000\n1405914626\t29.560000\n1405915226\t29.620000\n1405915827\t29.560000\n1405916427\t29.560000\n1405917028\t29.620000\n1405917628\t29.620000\n1405918229\t29.620000\n1405918829\t29.620000\n1405919430\t29.620000\n1405920030\t29.690000\n1405920631\t29.690000\n1405921231\t29.690000\n1405921832\t29.690000\n1405922432\t29.750000\n1405923048\t29.750000\n1405923649\t29.750000\n1405924249\t29.810000\n1405924849\t29.810000\n1405925450\t29.750000\n1405926051\t29.810000\n1405926651\t29.810000\n1405927252\t29.750000\n1405927852\t29.750000\n1405928453\t29.750000\n1405929053\t29.750000\n1405929654\t29.810000\n1405930254\t29.810000\n1405930855\t29.880000\n1405931455\t29.880000\n1405932056\t29.810000\n1405932656\t29.810000\n1405933257\t29.880000\n1405933857\t29.810000\n1405934458\t29.810000\n1405935058\t29.810000\n1405935659\t29.880000\n1405936259\t29.810000\n1405936860\t29.810000\n1405937460\t29.880000\n1405938061\t28.690000\n1405938661\t28.060000\n1405939262\t27.750000\n1405939862\t27.500000\n1405940463\t27.380000\n1405941064\t27.310000\n1405941664\t27.310000\n1405942265\t27.310000\n1405942865\t27.310000\n1405943466\t27.310000\n1405944081\t27.380000\n1405944682\t27.380000\n1405945282\t27.440000\n1405945883\t27.440000\n1405946483\t27.500000\n1405947084\t27.500000\n1405947684\t27.620000\n1405948285\t27.620000\n1405948885\t27.620000\n1405949486\t27.620000\n1405950086\t27.620000\n1405950687\t27.620000\n1405951288\t27.620000\n1405951888\t27.620000\n1405952489\t27.690000\n1405953089\t27.690000\n1405953690\t27.620000\n1405954290\t27.690000\n1405954891\t27.750000\n1405955491\t28.380000\n1405956092\t28.810000\n1405956692\t29.000000\n1405957293\t29.120000\n1405957893\t29.120000\n1405958494\t29.190000\n1405959094\t29.190000\n1405959695\t29.190000\n1405960310\t29.250000\n1405960911\t29.190000\n1405961511\t29.250000\n1405962112\t29.250000\n1405962712\t29.310000\n1405963313\t29.380000\n1405963913\t29.440000\n1405964514\t29.380000\n1405965114\t29.500000\n1405965715\t29.500000\n1405966315\t29.560000\n1405966916\t29.560000\n1405967516\t29.560000\n1405968117\t29.560000\n1405968717\t29.620000\n1405969318\t29.690000\n1405969919\t29.690000\n1405970519\t29.690000\n1405971120\t29.750000\n1405971720\t29.750000\n1405972321\t29.750000\n1405972921\t29.810000\n1405973522\t29.750000\n1405974122\t29.810000\n1405974723\t29.810000\n1405975323\t29.810000\n1405975924\t29.810000\n1405976524\t29.880000\n1405977125\t29.880000\n1405977726\t29.880000\n1405978326\t29.940000\n1405978942\t29.940000\n1405979542\t29.940000\n1405980143\t30.000000\n1405980743\t29.940000\n1405981344\t29.940000\n1405981944\t30.000000\n1405982545\t30.000000\n1405983145\t30.000000\n1405983746\t30.000000\n1405984346\t30.060000\n1405984947\t30.000000\n1405985547\t30.000000\n1405986148\t30.000000\n1405986748\t30.000000\n1405987349\t30.060000\n1405987949\t30.000000\n1405988550\t30.000000\n1405989150\t30.000000\n1405989751\t30.060000\n1405990351\t30.000000\n1405990952\t30.060000\n1405991553\t30.000000\n1405992153\t30.000000\n1405992754\t30.000000\n1405993354\t30.000000\n1405993955\t29.940000\n1405994555\t29.940000\n1405995156\t29.940000\n1405995756\t29.940000\n1405996372\t29.940000\n1405996972\t29.880000\n1405997573\t29.880000\n1405998173\t29.880000\n1405998774\t29.880000\n1405999374\t29.880000\n1405999975\t29.940000\n1406000575\t29.940000\n1406001176\t29.940000\n1406001776\t30.000000\n1406002377\t29.940000\n1406002977\t29.940000\n1406003578\t29.940000\n1406004179\t30.000000\n1406004779\t30.000000\n1406005380\t30.000000\n1406005980\t30.000000\n1406006581\t30.000000\n1406007181\t30.000000\n1406007782\t30.000000\n1406008382\t30.060000\n1406008983\t30.060000\n1406009583\t30.060000\n1406010184\t30.060000\n1406010784\t30.060000\n1406011385\t30.120000\n1406011985\t30.120000\n1406012586\t30.120000\n1406013186\t30.120000\n1406013787\t30.120000\n1406014402\t30.120000\n1406015003\t30.190000\n1406015603\t30.250000\n1406016204\t30.250000\n1406016804\t30.190000\n1406017405\t30.250000\n1406018005\t30.310000\n1406018606\t30.250000\n1406019206\t30.250000\n1406019807\t30.250000\n1406020407\t30.250000\n1406021008\t30.310000\n1406021608\t30.310000\n1406022209\t30.380000\n1406022809\t30.440000\n1406023410\t30.380000\n1406024011\t30.440000\n1406024611\t30.440000\n1406025212\t30.560000\n1406025812\t30.560000\n1406026413\t30.620000\n1406027013\t30.620000\n1406027614\t30.620000\n1406028214\t30.620000\n1406028815\t30.690000\n1406029415\t30.690000\n1406030016\t30.750000\n1406030616\t30.750000\n1406031217\t30.750000\n1406031817\t30.690000\n1406032433\t30.750000\n1406033033\t30.750000\n1406033634\t30.810000\n1406034234\t30.810000\n1406034835\t30.810000\n1406035435\t30.880000\n1406036036\t30.880000\n1406036636\t30.880000\n1406037237\t30.880000\n1406037837\t30.940000\n1406038438\t30.940000\n1406039039\t30.940000\n1406039639\t31.060000\n1406040240\t31.000000\n1406040840\t31.000000\n1406041441\t31.060000\n1406042041\t31.060000\n1406042642\t31.120000\n1406043242\t31.120000\n1406043843\t31.120000\n1406044443\t31.060000\n1406045044\t31.000000\n1406045644\t31.060000\n1406046245\t31.000000\n1406046845\t31.120000\n1406047446\t31.060000\n1406048046\t31.060000\n1406048647\t31.120000\n1406049247\t31.120000\n1406049848\t31.250000\n1406050464\t31.250000\n1406051064\t31.120000\n1406051665\t31.120000\n1406052265\t31.060000\n1406052866\t31.060000\n1406053466\t31.060000\n1406054067\t31.060000\n1406054667\t31.000000\n1406055268\t31.000000\n1406055868\t31.000000\n1406056469\t31.000000\n1406057069\t31.000000\n1406057670\t31.000000\n1406058270\t31.060000\n1406058871\t31.000000\n1406059471\t31.000000\n1406060072\t31.000000\n1406060672\t31.060000\n1406061273\t31.000000\n1406061873\t31.000000\n1406062474\t31.060000\n1406063074\t31.060000\n1406063675\t31.060000\n1406064275\t31.060000\n1406064876\t31.120000\n1406065477\t31.120000\n1406066077\t31.120000\n1406066677\t31.120000\n1406067293\t31.120000\n1406067893\t31.060000\n1406068494\t31.060000\n1406069095\t31.060000\n1406069695\t31.060000\n1406070296\t31.060000\n1406070896\t31.060000\n1406071497\t31.060000\n1406072097\t31.060000\n1406072698\t31.120000\n1406073298\t31.060000\n1406073899\t31.060000\n1406074499\t31.060000\n1406075100\t31.060000\n1406075700\t31.120000\n1406076301\t31.060000\n1406076901\t31.060000\n1406077502\t31.120000\n1406078103\t31.060000\n1406078703\t31.120000\n1406079304\t31.120000\n1406079904\t31.120000\n1406080505\t31.190000\n1406081105\t31.120000\n1406081706\t31.060000\n1406082306\t31.060000\n1406082907\t31.120000\n1406083507\t31.060000\n1406084108\t31.060000\n1406084708\t31.120000\n1406085324\t31.060000\n1406085925\t31.060000\n1406086525\t31.060000\n1406087126\t31.060000\n1406087726\t31.060000\n1406088327\t31.060000\n1406088927\t31.060000\n1406089528\t31.120000\n1406090128\t31.120000\n1406090729\t31.120000\n1406091329\t31.120000\n1406091930\t31.120000\n1406092530\t31.120000\n1406093131\t31.120000\n1406093731\t31.190000\n1406094332\t31.060000\n1406094932\t31.060000\n1406095533\t31.060000\n1406096133\t31.060000\n1406096734\t31.060000\n1406097335\t31.000000\n1406097935\t31.060000\n1406098536\t31.120000\n1406099136\t31.060000\n1406099737\t31.060000\n1406100337\t31.060000\n1406100938\t31.120000\n1406101538\t31.190000\n1406102139\t31.190000\n1406102739\t31.190000\n1406103355\t31.250000\n1406103955\t31.250000\n1406104556\t31.250000\n1406105156\t31.310000\n1406105757\t31.310000\n1406106357\t31.310000\n1406106958\t31.310000\n1406107558\t31.310000\n1406108159\t31.310000\n1406108759\t31.310000\n1406109360\t31.310000\n1406109960\t31.310000\n1406110561\t31.250000\n1406111161\t31.310000\n1406111762\t31.310000\n1406112363\t31.310000\n1406112963\t31.310000\n1406113564\t31.250000\n1406114164\t31.310000\n1406114765\t31.310000\n1406115365\t31.250000\n1406115966\t31.190000\n1406116566\t31.250000\n1406117167\t31.310000\n1406117767\t31.380000\n1406118368\t31.380000\n1406118968\t31.380000\n1406119569\t31.440000\n1406120169\t31.440000\n1406120770\t31.440000\n1406121371\t31.440000\n1406121986\t31.500000\n1406122587\t31.500000\n1406123187\t31.440000\n1406123788\t31.500000\n1406124388\t31.500000\n1406124989\t31.500000\n1406125589\t31.560000\n1406126190\t31.560000\n1406126790\t31.560000\n1406127391\t31.690000\n1406127991\t31.620000\n1406128592\t31.620000\n1406129192\t31.620000\n1406129793\t31.690000\n1406130393\t31.620000\n1406130994\t31.560000\n1406131595\t31.560000\n1406132195\t31.560000\n1406132796\t31.620000\n1406133396\t31.690000\n1406133997\t31.620000\n1406134597\t31.620000\n1406135198\t31.560000\n1406135798\t31.560000\n1406136399\t31.620000\n1406136999\t31.620000\n1406137600\t31.620000\n1406138200\t31.620000\n1406138816\t31.620000\n1406139416\t31.620000\n1406140017\t31.690000\n1406140617\t31.690000\n1406141218\t31.690000\n1406141818\t31.620000\n1406142419\t31.620000\n1406143020\t31.560000\n1406143620\t31.560000\n1406144221\t31.620000\n1406144821\t31.560000\n1406145422\t31.560000\n1406146022\t31.560000\n1406146623\t31.560000\n1406147223\t31.560000\n1406147824\t31.500000\n1406148424\t31.560000\n1406149025\t31.500000\n1406149625\t31.560000\n1406150226\t31.560000\n1406150826\t31.560000\n1406151427\t31.620000\n1406152028\t31.560000\n1406152628\t31.560000\n1406153229\t31.560000\n1406153829\t31.560000\n1406154430\t31.560000\n1406155030\t31.620000\n1406155631\t31.560000\n1406156231\t31.560000\n1406156847\t31.560000\n1406157447\t31.560000\n1406158048\t31.560000\n1406158648\t31.560000\n1406159249\t31.500000\n1406159849\t31.560000\n1406160450\t31.560000\n1406161050\t31.560000\n1406161651\t31.560000\n1406162251\t31.560000\n1406162852\t31.560000\n1406163452\t31.620000\n1406164053\t31.620000\n1406164653\t31.560000\n1406165254\t31.620000\n1406165854\t31.560000\n1406166455\t31.560000\n1406167056\t31.500000\n1406167656\t31.500000\n1406168256\t31.500000\n1406168857\t31.440000\n1406169457\t31.440000\n1406170058\t31.440000\n1406170659\t31.500000\n1406171259\t31.500000\n1406171860\t31.440000\n1406172460\t31.500000\n1406173076\t31.500000\n1406173676\t31.500000\n1406174277\t31.500000\n1406174877\t31.500000\n1406175478\t31.500000\n1406176078\t31.500000\n1406176679\t31.560000\n1406177279\t31.560000\n1406177880\t31.500000\n1406178480\t31.440000\n1406179081\t31.500000\n1406179681\t31.560000\n1406180282\t31.560000\n1406180882\t31.560000\n1406181483\t31.560000\n1406182083\t31.560000\n1406182684\t31.560000\n1406183284\t31.620000\n1406183885\t31.560000\n1406184486\t31.560000\n1406185086\t31.620000\n1406185687\t31.690000\n1406186287\t31.690000\n1406186888\t31.690000\n1406187488\t31.620000\n1406188089\t31.690000\n1406188689\t30.310000\n1406189290\t29.060000\n1406189905\t28.560000\n1406190506\t28.380000\n1406191106\t28.250000\n1406191707\t28.250000\n1406192307\t28.250000\n1406192908\t28.250000\n1406193508\t28.380000\n1406194109\t28.440000\n1406194709\t28.500000\n1406195310\t28.620000\n1406195911\t28.750000\n1406196511\t28.810000\n1406197112\t28.880000\n1406197712\t28.880000\n1406198313\t29.000000\n1406198913\t29.000000\n1406199514\t29.000000\n1406200114\t29.120000\n1406200715\t29.120000\n1406201315\t29.190000\n1406201916\t29.120000\n1406202516\t29.250000\n1406203117\t29.250000\n1406203717\t29.380000\n1406204318\t29.380000\n1406204919\t29.380000\n1406205519\t29.440000\n1406206120\t29.440000\n1406206720\t29.500000\n1406207321\t29.500000\n1406207936\t29.560000\n1406208537\t29.620000\n1406209137\t29.560000\n1406209738\t29.560000\n1406210338\t29.560000\n1406210939\t29.620000\n1406211539\t29.750000\n1406212140\t29.880000\n1406212740\t29.810000\n1406213341\t29.880000\n1406213942\t29.810000\n1406214542\t29.810000\n1406215143\t29.880000\n1406215743\t29.880000\n1406216344\t29.880000\n1406216944\t29.690000\n1406217545\t29.620000\n1406218145\t29.560000\n1406218746\t29.620000\n1406219346\t29.620000\n1406219947\t29.620000\n1406220547\t29.620000\n1406221148\t29.500000\n1406221749\t29.380000\n1406222349\t29.380000\n1406222950\t29.380000\n1406223550\t29.310000\n1406224151\t29.250000\n1406224766\t29.940000\n1406225367\t30.310000\n1406225967\t30.440000\n1406226568\t30.620000\n1406227168\t30.690000\n1406227769\t30.750000\n1406228369\t30.880000\n1406228970\t30.880000\n1406229571\t30.940000\n1406230171\t31.000000\n1406230772\t31.000000\n1406231372\t31.000000\n1406231973\t31.060000\n1406232573\t31.060000\n1406233174\t31.120000\n1406233774\t31.060000\n1406234375\t31.120000\n1406234975\t31.060000\n1406235576\t31.120000\n1406236176\t31.120000\n1406236777\t31.120000\n1406237377\t31.120000\n1406237978\t31.120000\n1406238578\t31.190000\n1406239179\t31.190000\n1406239780\t31.250000\n1406240380\t31.310000\n1406240981\t31.310000\n1406241581\t31.310000\n1406242182\t31.310000\n1406242782\t31.310000\n1406243398\t31.380000\n1406243998\t31.440000\n1406244599\t31.440000\n1406245199\t31.440000\n1406245800\t31.440000\n1406246400\t31.440000\n1406247001\t31.440000\n1406247601\t31.500000\n1406248202\t31.500000\n1406248802\t31.500000\n1406249403\t31.500000\n1406250004\t31.500000\n1406250604\t31.440000\n1406251205\t31.380000\n1406251805\t31.310000\n1406252406\t31.380000\n1406253006\t31.310000\n1406253607\t31.310000\n1406254207\t31.250000\n1406254808\t31.190000\n1406255408\t31.190000\n1406256009\t31.190000\n1406256609\t31.190000\n1406257210\t31.190000\n1406257810\t31.190000\n1406258411\t31.190000\n1406259011\t31.190000\n1406259612\t31.250000\n1406260213\t31.250000\n1406260828\t31.250000\n1406261429\t31.250000\n1406262029\t31.250000\n1406262630\t31.310000\n1406263230\t31.310000\n1406263831\t31.310000\n1406264431\t31.310000\n1406265032\t31.380000\n1406265632\t31.310000\n1406266233\t31.440000\n1406266833\t31.440000\n1406267434\t31.440000\n1406268034\t31.380000\n1406268635\t31.310000\n1406269236\t31.380000\n1406269836\t31.440000\n1406270437\t31.440000\n1406271037\t31.380000\n1406271638\t31.380000\n1406272238\t31.380000\n1406272839\t31.380000\n1406273439\t31.440000\n1406274040\t31.500000\n1406274655\t31.560000\n1406275256\t31.500000\n1406275856\t31.500000\n1406276457\t31.500000\n1406277057\t31.500000\n1406277658\t31.440000\n1406278258\t31.500000\n1406278859\t31.500000\n1406279459\t31.500000\n1406280060\t31.500000\n1406280660\t31.500000\n1406281261\t31.560000\n1406281861\t31.560000\n1406282462\t31.560000\n1406283062\t31.560000\n1406283663\t31.620000\n1406284264\t31.500000\n1406284864\t31.560000\n1406285465\t31.560000\n1406286065\t31.560000\n1406286666\t31.620000\n1406287266\t31.620000\n1406287867\t31.690000\n1406288467\t31.750000\n1406289068\t31.750000\n1406289669\t31.750000\n1406290269\t31.810000\n1406290870\t31.810000\n1406291470\t31.810000\n1406292071\t31.810000\n1406292686\t31.810000\n1406293287\t31.000000\n1406293887\t30.620000\n1406294488\t30.440000\n1406295088\t30.310000\n1406295689\t30.250000\n1406296289\t30.190000\n1406296890\t30.440000\n1406297490\t30.560000\n1406298091\t30.620000\n1406298691\t30.620000\n1406299292\t30.560000\n1406299892\t30.560000\n1406300493\t30.560000\n1406301093\t30.690000\n1406301694\t31.190000\n1406302295\t31.380000\n1406302895\t31.500000\n1406303496\t31.560000\n1406304096\t31.620000\n1406304697\t31.690000\n1406305297\t31.750000\n1406305898\t31.810000\n1406306498\t31.810000\n1406307099\t31.750000\n1406307699\t31.750000\n1406308300\t31.810000\n1406308900\t31.810000\n1406309501\t31.810000\n1406310101\t31.810000\n1406310717\t31.880000\n1406311317\t31.880000\n1406311918\t31.940000\n1406312519\t31.940000\n1406313119\t31.940000\n1406313720\t31.940000\n1406314320\t32.000000\n1406314921\t32.000000\n1406315521\t32.000000\n1406316122\t32.000000\n1406316722\t32.060000\n1406317323\t32.060000\n1406317923\t32.060000\n1406318524\t32.120000\n1406319124\t32.060000\n1406319725\t32.060000\n1406320325\t32.060000\n1406320926\t32.060000\n1406321526\t32.060000\n1406322127\t32.060000\n1406322727\t32.120000\n1406323328\t32.120000\n1406323928\t32.120000\n1406324529\t32.060000\n1406325130\t32.060000\n1406325730\t32.060000\n1406326330\t32.060000\n1406326931\t32.120000\n1406327531\t32.120000\n1406328147\t32.190000\n1406328747\t32.120000\n1406329348\t32.120000\n1406329949\t32.190000\n1406330549\t32.120000\n1406331150\t32.120000\n1406331750\t32.120000\n1406332351\t32.120000\n1406332951\t32.120000\n1406333552\t32.120000\n1406334152\t32.120000\n1406334753\t32.120000\n1406335353\t32.120000\n1406335954\t32.120000\n1406336554\t32.060000\n1406337155\t32.120000\n1406337755\t32.120000\n1406338356\t32.120000\n1406338956\t32.120000\n1406339557\t32.120000\n1406340157\t32.120000\n1406340758\t32.060000\n1406341358\t32.060000\n1406341959\t32.060000\n1406342559\t32.060000\n1406343160\t32.060000\n1406343761\t32.060000\n1406344361\t32.060000\n1406344962\t32.060000\n1406345562\t32.060000\n1406346162\t32.060000\n1406346763\t32.060000\n1406347364\t32.060000\n1406347964\t32.060000\n1406348565\t32.120000\n1406349180\t32.060000\n1406349781\t32.060000\n1406350381\t32.120000\n1406350982\t32.060000\n1406351582\t32.060000\n1406352183\t32.060000\n1406352783\t32.060000\n1406353384\t32.120000\n1406353984\t32.120000\n1406354585\t32.060000\n1406355186\t32.120000\n1406355786\t32.120000\n1406356387\t32.120000\n1406356987\t32.120000\n1406357588\t32.190000\n1406358188\t32.190000\n1406358789\t32.190000\n1406359389\t32.190000\n1406359990\t32.250000\n1406360590\t32.190000\n1406361191\t32.120000\n1406361791\t32.190000\n1406362392\t32.120000\n1406362992\t32.120000\n1406363593\t32.190000\n1406364193\t32.190000\n1406364794\t32.190000\n1406365394\t31.000000\n1406365995\t30.250000\n1406366595\t29.940000\n1406367196\t29.810000\n1406367796\t29.750000\n1406368412\t29.750000\n1406369013\t29.810000\n1406369613\t29.810000\n1406370214\t29.880000\n1406370814\t29.940000\n1406371415\t29.940000\n1406372015\t30.620000\n1406372616\t31.060000\n1406373216\t31.250000\n1406373817\t31.440000\n1406374417\t31.560000\n1406375018\t31.620000\n1406375618\t31.750000\n1406376219\t31.750000\n1406376819\t31.750000\n1406377420\t31.810000\n1406378020\t31.440000\n1406378621\t30.880000\n1406379221\t30.620000\n1406379822\t30.560000\n1406380422\t30.560000\n1406381023\t30.560000\n1406381623\t30.620000\n1406382224\t30.620000\n1406382824\t30.560000\n1406383425\t30.560000\n1406384025\t30.560000\n1406384626\t30.560000\n1406385226\t30.500000\n1406385827\t30.500000\n1406386427\t30.440000\n1406387043\t30.380000\n1406387643\t30.750000\n1406388244\t31.250000\n1406388844\t31.440000\n1406389445\t31.620000\n1406390045\t31.620000\n1406390646\t31.750000\n1406391247\t31.810000\n1406391847\t31.880000\n1406392448\t31.940000\n1406393048\t32.000000\n1406393649\t32.000000\n1406394249\t32.000000\n1406394850\t31.940000\n1406395450\t31.940000\n1406396051\t32.000000\n1406396651\t32.060000\n1406397252\t32.060000\n1406397852\t32.060000\n1406398453\t32.060000\n1406399053\t32.060000\n1406399654\t32.060000\n1406400254\t32.120000\n1406400855\t32.120000\n1406401455\t32.120000\n1406402056\t32.120000\n1406402656\t32.190000\n1406403257\t32.190000\n1406403857\t32.190000\n1406404458\t32.190000\n1406405073\t32.190000\n1406405674\t32.250000\n1406406274\t32.190000\n1406406875\t32.190000\n1406407475\t32.190000\n1406408076\t32.190000\n1406408676\t32.250000\n1406409277\t32.250000\n1406409878\t32.250000\n1406410478\t32.250000\n1406411079\t32.310000\n1406411679\t32.310000\n1406412280\t32.250000\n1406412880\t32.310000\n1406413481\t32.310000\n1406414081\t32.380000\n1406414682\t32.380000\n1406415282\t32.310000\n1406415883\t32.310000\n1406416483\t32.380000\n1406417084\t32.380000\n1406417684\t32.380000\n1406418285\t32.310000\n1406418885\t32.310000\n1406419486\t32.310000\n1406420086\t32.310000\n1406420687\t32.310000\n1406421287\t32.310000\n1406421888\t32.380000\n1406422488\t32.310000\n1406423104\t32.310000\n1406423704\t32.310000\n1406424305\t32.310000\n1406424905\t32.380000\n1406425506\t32.310000\n1406426107\t32.310000\n1406426707\t32.310000\n1406427308\t32.380000\n1406427908\t32.380000\n1406428509\t32.310000\n1406429109\t32.310000\n1406429710\t32.310000\n1406430310\t32.310000\n1406430911\t32.380000\n1406431511\t32.380000\n1406432112\t32.310000\n1406432712\t32.380000\n1406433313\t32.380000\n1406433913\t32.380000\n1406434514\t32.380000\n1406435114\t32.380000\n1406435715\t32.380000\n1406436315\t32.440000\n1406436916\t32.440000\n1406437517\t32.440000\n1406438117\t32.440000\n1406438718\t32.440000\n1406439318\t32.500000\n1406439919\t32.500000\n1406440534\t32.500000\n1406441135\t32.560000\n1406441735\t32.560000\n1406442336\t32.500000\n1406442936\t32.500000\n1406443537\t32.500000\n1406444137\t32.500000\n1406444738\t32.500000\n1406445338\t32.500000\n1406445939\t32.500000\n1406446539\t32.560000\n1406447140\t32.560000\n1406447740\t32.560000\n1406448341\t32.500000\n1406448942\t32.500000\n1406449542\t31.500000\n1406450143\t30.120000\n1406450743\t29.620000\n1406451344\t29.380000\n1406451944\t29.380000\n1406452545\t29.250000\n1406453145\t29.190000\n1406453746\t29.190000\n1406454346\t29.060000\n1406454947\t29.000000\n1406455547\t29.000000\n1406456148\t29.060000\n1406456763\t29.120000\n1406457364\t29.120000\n1406457964\t29.190000\n1406458565\t29.190000\n1406459165\t29.310000\n1406459766\t29.380000\n1406460367\t29.380000\n1406460967\t29.500000\n1406461568\t29.620000\n1406462168\t29.560000\n1406462769\t29.690000\n1406463369\t29.690000\n1406463970\t29.690000\n1406464570\t30.380000\n1406465171\t30.810000\n1406465771\t31.000000\n1406466372\t31.190000\n1406466972\t31.310000\n1406467573\t31.380000\n1406468173\t31.500000\n1406468774\t31.560000\n1406469374\t31.620000\n1406469975\t31.690000\n1406470575\t31.810000\n1406471176\t31.810000\n1406471776\t31.880000\n1406472377\t31.940000\n1406472977\t31.940000\n1406473578\t31.880000\n1406474179\t31.940000\n1406474794\t32.000000\n1406475395\t32.060000\n1406475995\t32.060000\n1406476596\t32.060000\n1406477196\t32.060000\n1406477797\t32.000000\n1406478397\t32.060000\n1406478998\t32.060000\n1406479598\t32.120000\n1406480199\t32.190000\n1406480799\t32.190000\n1406481400\t32.120000\n1406482000\t32.120000\n1406482601\t32.120000\n1406483201\t32.190000\n1406483802\t32.190000\n1406484402\t32.250000\n1406485003\t32.250000\n1406485604\t32.250000\n1406486204\t32.250000\n1406486805\t32.310000\n1406487405\t32.310000\n1406488006\t32.250000\n1406488606\t32.310000\n1406489207\t32.250000\n1406489807\t32.310000\n1406490408\t32.250000\n1406491008\t32.250000\n1406491609\t32.310000\n1406492224\t32.250000\n1406492825\t32.250000\n1406493425\t32.250000\n1406494026\t32.250000\n1406494626\t32.310000\n1406495227\t32.310000\n1406495827\t32.310000\n1406496428\t32.310000\n1406497029\t32.310000\n1406497629\t32.310000\n1406498230\t32.310000\n1406498830\t32.380000\n1406499431\t32.310000\n1406500031\t32.310000\n1406500632\t32.380000\n1406501232\t32.380000\n1406501833\t32.380000\n1406502433\t32.380000\n1406503034\t32.310000\n1406503634\t32.380000\n1406504235\t32.380000\n1406504835\t32.310000\n1406505436\t32.380000\n1406506036\t32.310000\n1406506637\t32.310000\n1406507238\t32.310000\n1406507853\t32.310000\n1406508454\t32.310000\n1406509054\t32.310000\n1406509655\t32.310000\n1406510255\t32.310000\n1406510856\t32.250000\n1406511456\t32.190000\n1406512057\t32.120000\n1406512657\t32.120000\n1406513258\t32.120000\n1406513858\t32.060000\n1406514459\t32.060000\n1406515059\t32.060000\n1406515660\t32.060000\n1406516260\t32.000000\n1406516861\t32.000000\n1406517461\t32.060000\n1406518062\t32.060000\n1406518662\t32.060000\n1406519263\t32.060000\n1406519863\t32.060000\n1406520464\t32.060000\n1406521065\t32.060000\n1406521665\t32.060000\n1406522266\t32.060000\n1406522866\t32.120000\n1406523467\t32.120000\n1406524067\t32.120000\n1406524668\t32.120000\n1406525268\t32.120000\n1406525884\t32.120000\n1406526484\t32.190000\n1406527085\t32.120000\n1406527685\t32.190000\n1406528286\t32.120000\n1406528886\t32.120000\n1406529487\t32.120000\n1406530087\t32.190000\n1406530688\t32.120000\n1406531288\t32.120000\n1406531889\t32.190000\n1406532489\t32.120000\n1406533090\t32.120000\n1406533690\t32.120000\n1406534291\t32.120000\n1406534891\t32.120000\n1406535492\t32.120000\n1406536093\t32.120000\n1406536693\t32.190000\n1406537294\t32.190000\n1406537894\t32.250000\n1406538495\t32.190000\n1406539095\t32.250000\n1406539696\t32.250000\n1406540296\t30.500000\n1406540897\t29.690000\n1406541497\t29.310000\n1406542098\t29.120000\n1406542698\t29.000000\n1406543299\t28.940000\n1406543914\t28.940000\n1406544515\t28.940000\n1406545115\t28.880000\n1406545716\t28.880000\n1406546316\t28.940000\n1406546917\t28.880000\n1406547517\t28.880000\n1406548118\t28.940000\n1406548718\t29.000000\n1406549319\t29.060000\n1406549920\t29.060000\n1406550520\t29.120000\n1406551121\t29.190000\n1406551721\t29.190000\n1406552322\t29.250000\n1406552922\t29.310000\n1406553523\t29.310000\n1406554123\t29.250000\n1406554724\t29.250000\n1406555324\t29.380000\n1406555925\t29.440000\n1406556525\t29.500000\n1406557126\t29.560000\n1406557726\t29.560000\n1406558327\t29.500000\n1406558928\t29.500000\n1406559543\t29.500000\n1406560144\t29.560000\n1406560744\t30.250000\n1406561345\t30.560000\n1406561945\t30.810000\n1406562546\t30.940000\n1406563146\t31.060000\n1406563747\t31.120000\n1406564347\t31.250000\n1406564948\t31.310000\n1406565548\t31.380000\n1406566149\t31.440000\n1406566749\t31.440000\n1406567350\t31.440000\n1406567950\t31.500000\n1406568551\t31.500000\n1406569151\t31.560000\n1406569752\t31.620000\n1406570352\t31.620000\n1406570953\t31.690000\n1406571553\t31.690000\n1406572154\t31.690000\n1406572754\t31.620000\n1406573355\t31.750000\n1406573955\t31.750000\n1406574556\t31.750000\n1406575156\t31.750000\n1406575757\t31.750000\n1406576357\t31.810000\n1406576958\t31.810000\n1406577573\t31.810000\n1406578174\t31.880000\n1406578774\t31.810000\n1406579375\t31.810000\n1406579975\t31.880000\n1406580576\t31.880000\n1406581176\t31.880000\n1406581777\t31.880000\n1406582377\t31.880000\n1406582978\t31.880000\n1406583579\t31.880000\n1406584179\t31.940000\n1406584780\t31.880000\n1406585380\t31.940000\n1406585981\t31.940000\n1406586581\t32.000000\n1406587182\t32.000000\n1406587782\t32.000000\n1406588383\t32.000000\n1406588983\t32.000000\n1406589584\t32.000000\n1406590184\t32.000000\n1406590785\t32.000000\n1406591385\t32.060000\n1406591986\t32.000000\n1406592586\t32.000000\n1406593187\t32.060000\n1406593802\t32.000000\n1406594403\t32.000000\n1406595003\t32.000000\n1406595604\t32.000000\n1406596204\t32.000000\n1406596805\t32.000000\n1406597405\t32.000000\n1406598006\t32.000000\n1406598606\t32.000000\n1406599207\t32.000000\n1406599807\t32.000000\n1406600408\t32.000000\n1406601008\t32.060000\n1406601609\t32.060000\n1406602209\t32.060000\n1406602810\t32.060000\n1406603410\t32.060000\n1406604011\t32.060000\n1406604611\t32.060000\n1406605212\t32.060000\n1406605812\t32.060000\n1406606413\t32.060000\n1406607014\t32.060000\n1406607614\t32.120000\n1406608215\t32.120000\n1406608815\t32.120000\n1406609416\t32.120000\n1406610031\t32.120000\n1406610632\t32.120000\n1406611232\t32.190000\n1406611833\t32.190000\n1406612433\t32.190000\n1406613034\t32.190000\n1406613634\t32.190000\n1406614235\t32.190000\n1406614835\t32.190000\n1406615436\t32.190000\n1406616036\t32.190000\n1406616637\t32.190000\n1406617237\t32.190000\n1406617838\t32.190000\n1406618438\t32.190000\n1406619039\t30.380000\n1406619639\t29.380000\n1406620240\t28.940000\n1406620840\t28.750000\n1406621441\t28.620000\n1406622041\t28.560000\n1406622642\t28.620000\n1406623243\t28.560000\n1406623843\t28.500000\n1406624444\t28.440000\n1406625044\t28.440000\n1406625645\t28.560000\n1406626245\t28.560000\n1406626846\t28.560000\n1406627461\t28.560000\n1406628062\t28.620000\n1406628662\t28.620000\n1406629263\t28.690000\n1406629863\t28.690000\n1406630464\t28.620000\n1406631064\t28.690000\n1406631665\t28.810000\n1406632266\t28.810000\n1406632866\t28.940000\n1406633467\t29.000000\n1406634067\t29.000000\n1406634668\t29.000000\n1406635268\t29.000000\n1406635869\t29.120000\n1406636469\t29.120000\n1406637070\t29.120000\n1406637670\t29.190000\n1406638271\t29.190000\n1406638871\t29.250000\n1406639472\t29.310000\n1406640072\t29.380000\n1406640673\t29.440000\n1406641273\t29.440000\n1406641874\t29.500000\n1406642474\t29.500000\n1406643075\t29.500000\n1406643676\t29.560000\n1406644276\t29.560000\n1406644877\t29.620000\n1406645492\t29.620000\n1406646093\t29.620000\n1406646693\t29.620000\n1406647294\t29.620000\n1406647894\t29.560000\n1406648495\t29.560000\n1406649095\t29.560000\n1406649696\t29.500000\n1406650296\t29.380000\n1406650897\t29.310000\n1406651497\t29.440000\n1406652098\t29.440000\n1406652698\t29.500000\n1406653299\t29.440000\n1406653900\t29.380000\n1406654500\t29.380000\n1406655101\t29.880000\n1406655701\t30.310000\n1406656302\t30.500000\n1406656902\t30.690000\n1406657503\t30.750000\n1406658103\t30.940000\n1406658704\t31.000000\n1406659304\t31.060000\n1406659905\t31.120000\n1406660505\t31.120000\n1406661106\t31.120000\n1406661706\t31.190000\n1406662307\t31.190000\n1406662907\t31.250000\n1406663523\t31.250000\n1406664124\t31.310000\n1406664724\t31.380000\n1406665325\t31.380000\n1406665925\t31.380000\n1406666526\t31.380000\n1406667126\t31.380000\n1406667727\t31.380000\n1406668327\t31.440000\n1406668928\t31.440000\n1406669528\t31.440000\n1406670129\t31.500000\n1406670729\t31.500000\n1406671330\t31.500000\n1406671930\t31.560000\n1406672531\t31.560000\n1406673132\t31.620000\n1406673732\t31.620000\n1406674333\t31.620000\n1406674933\t31.620000\n1406675534\t31.620000\n1406676134\t31.620000\n1406676735\t31.620000\n1406677335\t31.620000\n1406677936\t31.620000\n1406678536\t31.690000\n1406679152\t31.620000\n1406679753\t31.620000\n1406680353\t31.620000\n1406680954\t31.690000\n1406681554\t31.690000\n1406682155\t31.690000\n1406682755\t31.690000\n1406683356\t31.690000\n1406683956\t31.690000\n1406684557\t31.690000\n1406685157\t31.690000\n1406685758\t31.690000\n1406686358\t31.690000\n1406686959\t31.690000\n1406687559\t31.690000\n1406688160\t31.750000\n1406688760\t31.750000\n1406689361\t31.750000\n1406689962\t31.690000\n1406690562\t31.750000\n1406691163\t31.750000\n1406691763\t31.750000\n1406692364\t31.750000\n1406692964\t31.750000\n1406693565\t31.750000\n1406694165\t31.810000\n1406694766\t31.810000\n1406695366\t31.810000\n1406695967\t31.810000\n1406696567\t31.810000\n1406697183\t31.880000\n1406697783\t31.880000\n1406698384\t31.940000\n1406698984\t31.940000\n1406699584\t31.880000\n1406700185\t31.880000\n1406700785\t31.880000\n1406701386\t31.880000\n1406701986\t31.880000\n1406702587\t31.940000\n1406703188\t31.940000\n1406703788\t31.940000\n1406704389\t31.940000\n1406704989\t31.940000\n1406705590\t31.940000\n1406706190\t31.880000\n1406706791\t31.880000\n1406707391\t31.880000\n1406707992\t31.880000\n1406708592\t31.880000\n1406709193\t31.190000\n1406709793\t29.380000\n1406710394\t28.690000\n1406710994\t28.310000\n1406711610\t28.120000\n1406712210\t28.060000\n1406712811\t27.940000\n1406713411\t27.880000\n1406714012\t27.810000\n1406714612\t27.750000\n1406715213\t27.750000\n1406715813\t27.690000\n1406716414\t27.690000\n1406717015\t27.620000\n1406717615\t27.620000\n1406718216\t27.620000\n1406718816\t27.690000\n1406719417\t27.810000\n1406720017\t27.880000\n1406720618\t27.880000\n1406721218\t27.940000\n1406721819\t28.060000\n1406722419\t28.060000\n1406723020\t28.060000\n1406723620\t28.000000\n1406724221\t27.940000\n1406724821\t27.880000\n1406725422\t27.750000\n1406726022\t27.690000\n1406726623\t27.620000\n1406727238\t27.560000\n1406727839\t27.440000\n1406728439\t27.380000\n1406729040\t27.380000\n1406729640\t27.310000\n1406730241\t27.250000\n1406730841\t27.190000\n1406731442\t27.060000\n1406732042\t27.060000\n1406732643\t27.000000\n1406733243\t26.940000\n1406733844\t26.880000\n1406734444\t26.810000\n1406735045\t26.750000\n1406735645\t26.690000\n1406736246\t26.690000\n1406736847\t26.620000\n1406737447\t26.620000\n1406738048\t26.690000\n1406738648\t26.750000\n1406739249\t26.810000\n1406739849\t26.940000\n1406740450\t26.940000\n1406741050\t26.880000\n1406741651\t26.750000\n1406742251\t26.750000\n1406742852\t26.810000\n1406743452\t27.810000\n1406744053\t28.380000\n1406744653\t28.690000\n1406745254\t28.940000\n1406745854\t29.120000\n1406746455\t29.250000\n1406747056\t29.310000\n1406747671\t29.380000\n1406748272\t29.500000\n1406748872\t29.560000\n1406749473\t29.620000\n1406750073\t29.690000\n1406750674\t29.750000\n1406751274\t29.810000\n1406751875\t29.810000\n1406752475\t29.880000\n1406753076\t29.940000\n1406753676\t30.000000\n1406754277\t30.000000\n1406754877\t30.060000\n1406755478\t30.120000\n1406756079\t30.120000\n1406756679\t30.120000\n1406757280\t30.190000\n1406757880\t30.190000\n1406758481\t30.250000\n1406759081\t30.250000\n1406759682\t30.310000\n1406760282\t30.380000\n1406760883\t30.380000\n1406761483\t30.310000\n1406762084\t30.380000\n1406762684\t30.380000\n1406763285\t30.380000\n1406763885\t30.440000\n1406764486\t30.380000\n1406765086\t30.440000\n1406765687\t30.500000\n1406766287\t30.500000\n1406766888\t30.500000\n1406767488\t30.560000\n1406768104\t30.560000\n1406768704\t30.560000\n1406769305\t30.500000\n1406769905\t30.500000\n1406770506\t30.440000\n1406771106\t30.440000\n1406771707\t30.440000\n1406772307\t30.440000\n1406772908\t30.380000\n1406773508\t30.440000\n1406774109\t30.380000\n1406774710\t30.380000\n1406775310\t30.440000\n1406775910\t30.440000\n1406776511\t30.440000\n1406777112\t30.440000\n1406777712\t30.440000\n1406778313\t30.440000\n1406778913\t30.440000\n1406779514\t30.440000\n1406780114\t30.500000\n1406780715\t30.440000\n1406781315\t30.500000\n1406781916\t30.500000\n1406782516\t30.440000\n1406783117\t30.440000\n1406783717\t30.380000\n1406784318\t30.380000\n1406784918\t30.440000\n1406785519\t30.440000\n1406786119\t30.440000\n1406786735\t30.440000\n1406787336\t30.440000\n1406787936\t30.500000\n1406788537\t30.440000\n1406789137\t30.380000\n1406789738\t30.500000\n1406790338\t30.620000\n1406790939\t30.620000\n1406791539\t30.620000\n1406792140\t30.560000\n1406792740\t30.620000\n1406793341\t30.620000\n1406793941\t30.500000\n1406794542\t30.500000\n1406795142\t30.440000\n1406795743\t30.380000\n1406796343\t30.310000\n1406796944\t30.310000\n1406797544\t30.380000\n1406798145\t30.380000\n1406798745\t30.380000\n1406799346\t30.380000\n1406799946\t30.310000\n1406800547\t30.440000\n1406801148\t30.380000\n1406801748\t30.250000\n1406802349\t30.250000\n1406802949\t30.190000\n1406803550\t30.190000\n1406804150\t30.190000\n1406804751\t30.250000\n1406805366\t30.250000\n1406805967\t30.250000\n1406806567\t30.250000\n1406807168\t30.120000\n1406807768\t30.120000\n1406808369\t30.120000\n1406808970\t30.190000\n1406809570\t30.120000\n1406810171\t30.310000\n1406810771\t30.310000\n1406811372\t30.380000\n1406811972\t30.310000\n1406812573\t30.250000\n1406813173\t30.250000\n1406813774\t30.190000\n1406814374\t30.120000\n1406814975\t30.190000\n1406815575\t30.380000\n1406816176\t30.440000\n1406816776\t30.560000\n1406817377\t30.500000\n1406817977\t30.500000\n1406818578\t30.440000\n1406819178\t30.440000\n1406819779\t30.500000\n1406820379\t30.560000\n1406820980\t30.560000\n1406821580\t30.500000\n1406822181\t30.620000\n1406822782\t30.690000\n1406823397\t30.690000\n1406823998\t30.620000\n1406824598\t30.620000\n1406825199\t30.620000\n1406825799\t30.620000\n1406826400\t30.560000\n1406827000\t30.560000\n1406827601\t30.690000\n1406828201\t30.810000\n1406828802\t30.810000\n1406829402\t30.690000\n1406830003\t30.620000\n1406830603\t30.620000\n1406831204\t30.620000\n1406831804\t30.690000\n1406832405\t30.750000\n1406833005\t30.750000\n1406833606\t30.620000\n1406834206\t30.620000\n1406834807\t30.690000\n1406835407\t30.750000\n1406836008\t30.810000\n1406836608\t30.810000\n1406837209\t30.810000\n1406837809\t30.880000\n1406838410\t30.880000\n1406839010\t30.880000\n1406839611\t30.810000\n1406840211\t30.880000\n1406840827\t30.810000\n1406841428\t30.690000\n1406842028\t30.690000\n1406842629\t30.750000\n1406843229\t30.810000\n1406843830\t30.810000\n1406844430\t30.750000\n1406845030\t30.810000\n1406845631\t30.810000\n1406846232\t30.880000\n1406846832\t30.880000\n1406847433\t30.880000\n1406848033\t30.880000\n1406848634\t30.880000\n1406849234\t30.940000\n1406849835\t30.940000\n1406850435\t30.880000\n1406851036\t30.880000\n1406851636\t30.880000\n1406852237\t30.880000\n1406852837\t30.880000\n1406853438\t30.880000\n1406854038\t30.880000\n1406854639\t30.880000\n1406855240\t30.880000\n1406855840\t30.880000\n1406856441\t30.880000\n1406857041\t30.810000\n1406857642\t30.810000\n1406858242\t30.810000\n1406858858\t30.880000\n1406859458\t30.810000\n1406860059\t30.880000\n1406860659\t30.880000\n1406861260\t30.810000\n1406861860\t30.880000\n1406862461\t30.880000\n1406863061\t30.880000\n1406863662\t30.880000\n1406864262\t30.880000\n1406864863\t30.880000\n1406865463\t30.880000\n1406866064\t30.880000\n1406866664\t30.880000\n1406867265\t30.880000\n1406867866\t30.880000\n1406868466\t30.810000\n1406869067\t30.810000\n1406869667\t30.810000\n1406870268\t30.810000\n1406870868\t30.750000\n1406871469\t30.750000\n1406872069\t30.750000\n1406872670\t30.750000\n1406873270\t30.750000\n1406873871\t30.620000\n1406874471\t30.560000\n1406875072\t30.500000\n1406875687\t30.500000\n1406876288\t30.440000\n1406876888\t30.380000\n1406877489\t30.440000\n1406878090\t30.380000\n1406878690\t30.000000\n1406879291\t28.120000\n1406879891\t27.310000\n1406880492\t26.880000\n1406881092\t26.620000\n1406881693\t26.440000\n1406882293\t26.310000\n1406882894\t26.250000\n1406883494\t26.310000\n1406884095\t26.190000\n1406884695\t26.120000\n1406885296\t26.120000\n1406885896\t26.190000\n1406886497\t26.190000\n1406887097\t26.250000\n1406887698\t26.190000\n1406888298\t26.250000\n1406888899\t26.250000\n1406889499\t26.120000\n1406890100\t26.120000\n1406890700\t26.190000\n1406891301\t26.250000\n1406891902\t26.250000\n1406892502\t26.310000\n1406893103\t26.440000\n1406893703\t26.560000\n1406894319\t26.500000\n1406894919\t26.440000\n1406895520\t26.440000\n1406896120\t26.500000\n1406896721\t26.620000\n1406897321\t26.690000\n1406897922\t26.750000\n1406898522\t26.750000\n1406899123\t26.620000\n1406899723\t26.810000\n1406900324\t26.810000\n1406900924\t27.000000\n1406901525\t27.060000\n1406902125\t27.120000\n1406902726\t27.120000\n1406903326\t27.120000\n1406903927\t27.060000\n1406904528\t27.120000\n1406905128\t27.060000\n1406905729\t27.120000\n1406906329\t27.190000\n1406906930\t27.190000\n1406907530\t27.250000\n1406908131\t27.250000\n1406908731\t27.250000\n1406909332\t27.250000\n1406909932\t27.250000\n1406910533\t27.250000\n1406911133\t27.190000\n1406911734\t27.250000\n1406912349\t28.000000\n1406912950\t28.380000\n1406913551\t28.560000\n1406914151\t28.750000\n1406914752\t28.810000\n1406915352\t28.940000\n1406915953\t29.000000\n1406916553\t29.120000\n1406917154\t29.190000\n1406917754\t29.250000\n1406918355\t29.310000\n1406918955\t29.310000\n1406919556\t29.310000\n1406920156\t29.380000\n1406920757\t29.380000\n1406921357\t29.440000\n1406921958\t29.440000\n1406922558\t29.440000\n1406923159\t29.500000\n1406923759\t29.500000\n1406924360\t29.500000\n1406924960\t29.560000\n1406925561\t29.560000\n1406926162\t29.620000\n1406926762\t29.620000\n1406927363\t29.620000\n1406927963\t29.690000\n1406928564\t29.620000\n1406929164\t29.690000\n1406929765\t29.620000\n1406930380\t29.690000\n1406930981\t29.690000\n1406931581\t29.690000\n1406932182\t29.750000\n1406932782\t29.750000\n1406933383\t29.750000\n1406933983\t29.750000\n1406934584\t29.750000\n1406935184\t29.750000\n1406935785\t29.750000\n1406936386\t29.750000\n1406936986\t29.750000\n1406937587\t29.750000\n1406938187\t29.750000\n1406938788\t29.750000\n1406939388\t29.810000\n1406939989\t29.810000\n1406940589\t29.880000\n1406941190\t29.810000\n1406941790\t29.810000\n1406942391\t29.880000\n1406942991\t29.810000\n1406943592\t29.810000\n1406944192\t29.880000\n1406944793\t29.880000\n1406945393\t29.880000\n1406945994\t29.940000\n1406946594\t29.880000\n1406947195\t29.880000\n1406947796\t29.880000\n1406948411\t29.880000\n1406949012\t29.880000\n1406949612\t29.880000\n1406950213\t29.880000\n1406950813\t29.940000\n1406951414\t29.880000\n1406952014\t29.940000\n1406952615\t29.940000\n1406953215\t29.940000\n1406953816\t29.880000\n1406954416\t29.940000\n1406955017\t29.940000\n1406955617\t29.940000\n1406956218\t29.940000\n1406956819\t30.000000\n1406957419\t29.940000\n1406958020\t29.940000\n1406958620\t29.940000\n1406959221\t29.940000\n1406959821\t30.000000\n1406960422\t30.000000\n1406961022\t30.000000\n1406961623\t30.060000\n1406962223\t30.120000\n1406962824\t30.120000\n1406963424\t30.190000\n1406964025\t30.190000\n1406964625\t30.190000\n1406965226\t30.190000\n1406965827\t30.120000\n1406966427\t30.060000\n1406967043\t29.500000\n1406967643\t28.000000\n1406968244\t27.380000\n1406968844\t27.120000\n1406969445\t27.060000\n1406970045\t27.000000\n1406970646\t26.940000\n1406971246\t27.000000\n1406971847\t27.000000\n1406972447\t27.000000\n1406973048\t27.120000\n1406973648\t27.060000\n1406974249\t27.120000\n1406974849\t27.060000\n1406975450\t27.120000\n1406976050\t27.190000\n1406976651\t27.250000\n1406977251\t27.310000\n1406977852\t27.310000\n1406978452\t27.310000\n1406979053\t27.310000\n1406979654\t27.310000\n1406980254\t27.310000\n1406980855\t27.380000\n1406981455\t27.310000\n1406982056\t27.310000\n1406982656\t27.310000\n1406983257\t27.310000\n1406983857\t27.380000\n1406984458\t27.440000\n1406985073\t27.500000\n1406985674\t27.560000\n1406986274\t27.620000\n1406986875\t27.690000\n1406987475\t27.690000\n1406988076\t27.690000\n1406988677\t27.620000\n1406989277\t27.620000\n1406989878\t27.940000\n1406990478\t28.500000\n1406991079\t28.750000\n1406991679\t28.940000\n1406992280\t29.060000\n1406992880\t29.120000\n1406993481\t29.250000\n1406994081\t29.310000\n1406994682\t29.380000\n1406995282\t29.380000\n1406995883\t29.440000\n1406996483\t29.500000\n1406997084\t29.500000\n1406997684\t29.500000\n1406998285\t29.560000\n1406998885\t29.560000\n1406999486\t29.620000\n1407000086\t29.620000\n1407000687\t29.620000\n1407001287\t29.620000\n1407001888\t29.690000\n1407002503\t29.690000\n1407003104\t29.750000\n1407003705\t29.810000\n1407004305\t29.810000\n1407004906\t29.810000\n1407005506\t29.880000\n1407006107\t29.880000\n1407006707\t29.810000\n1407007308\t29.880000\n1407007908\t29.940000\n1407008509\t29.880000\n1407009109\t29.940000\n1407009710\t30.000000\n1407010310\t30.000000\n1407010911\t30.000000\n1407011511\t30.000000\n1407012112\t29.940000\n1407012712\t30.000000\n1407013313\t30.000000\n1407013913\t30.000000\n1407014514\t30.000000\n1407015114\t30.060000\n1407015715\t30.120000\n1407016316\t30.120000\n1407016916\t30.120000\n1407017517\t30.120000\n1407018117\t30.120000\n1407018718\t30.190000\n1407019318\t30.250000\n1407019934\t30.190000\n1407020534\t30.250000\n1407021135\t30.190000\n1407021735\t30.250000\n1407022336\t30.250000\n1407022936\t30.310000\n1407023537\t30.310000\n1407024137\t30.310000\n1407024738\t30.310000\n1407025338\t30.310000\n1407025939\t30.310000\n1407026539\t30.380000\n1407027140\t30.440000\n1407027740\t30.440000\n1407028341\t30.380000\n1407028941\t30.310000\n1407029542\t30.250000\n1407030142\t30.250000\n1407030743\t30.250000\n1407031344\t30.190000\n1407031944\t30.250000\n1407032545\t30.250000\n1407033145\t30.250000\n1407033746\t30.250000\n1407034346\t30.250000\n1407034947\t30.310000\n1407035547\t30.310000\n1407036148\t30.250000\n1407036748\t30.250000\n1407037349\t30.250000\n1407037964\t30.250000\n1407038565\t30.250000\n1407039165\t30.250000\n1407039766\t30.250000\n1407040366\t30.250000\n1407040967\t30.310000\n1407041567\t30.310000\n1407042168\t30.380000\n1407042768\t30.380000\n1407043369\t30.380000\n1407043969\t30.440000\n1407044570\t30.380000\n1407045170\t30.380000\n1407045771\t30.440000\n1407046372\t30.440000\n1407046972\t30.500000\n1407047573\t30.500000\n1407048173\t30.500000\n1407048774\t30.500000\n1407049374\t30.560000\n1407049975\t30.500000\n1407050575\t30.560000\n1407051176\t30.500000\n1407051776\t30.440000\n1407052377\t30.500000\n1407052977\t30.560000\n1407053578\t29.750000\n1407054178\t28.620000\n1407054779\t28.120000\n1407055379\t27.810000\n1407055995\t27.690000\n1407056595\t27.560000\n1407057196\t27.560000\n1407057796\t27.500000\n1407058397\t27.500000\n1407058997\t27.500000\n1407059598\t27.560000\n1407060198\t27.560000\n1407060799\t27.560000\n1407061399\t27.690000\n1407062000\t27.810000\n1407062600\t27.880000\n1407063201\t27.940000\n1407063801\t28.060000\n1407064402\t28.120000\n1407065003\t28.250000\n1407065603\t28.250000\n1407066203\t28.310000\n1407066804\t28.380000\n1407067404\t28.440000\n1407068005\t28.500000\n1407068605\t28.620000\n1407069206\t28.620000\n1407069806\t28.690000\n1407070407\t28.750000\n1407071008\t28.880000\n1407071608\t28.940000\n1407072224\t29.000000\n1407072824\t29.060000\n1407073425\t29.120000\n1407074025\t29.120000\n1407074626\t29.190000\n1407075226\t29.120000\n1407075827\t29.190000\n1407076427\t29.250000\n1407077028\t29.310000\n1407077628\t29.250000\n1407078229\t29.380000\n1407078829\t29.440000\n1407079430\t29.440000\n1407080031\t29.440000\n1407080631\t29.310000\n1407081232\t29.250000\n1407081832\t29.310000\n1407082433\t29.190000\n1407083033\t29.190000\n1407083634\t29.190000\n1407084234\t29.190000\n1407084835\t29.190000\n1407085435\t29.120000\n1407086036\t29.120000\n1407086636\t29.120000\n1407087237\t29.060000\n1407087837\t29.000000\n1407088438\t29.000000\n1407089038\t29.310000\n1407089639\t29.810000\n1407090255\t30.120000\n1407090855\t30.190000\n1407091456\t30.250000\n1407092056\t30.380000\n1407092657\t30.440000\n1407093257\t30.500000\n1407093858\t30.560000\n1407094458\t30.560000\n1407095059\t30.620000\n1407095659\t30.690000\n1407096260\t30.690000\n1407096860\t30.690000\n1407097461\t30.750000\n1407098061\t30.810000\n1407098662\t30.810000\n1407099263\t30.810000\n1407099863\t30.880000\n1407100464\t30.810000\n1407101064\t30.810000\n1407101665\t30.880000\n1407102265\t30.880000\n1407102866\t30.880000\n1407103466\t30.940000\n1407104067\t30.940000\n1407104667\t31.000000\n1407105268\t31.060000\n1407105868\t31.000000\n1407106469\t31.060000\n1407107084\t31.120000\n1407107685\t31.060000\n1407108285\t31.120000\n1407108886\t31.120000\n1407109486\t31.120000\n1407110087\t31.190000\n1407110687\t31.190000\n1407111288\t31.120000\n1407111889\t31.190000\n1407112489\t31.190000\n1407113090\t31.190000\n1407113690\t31.190000\n1407114291\t31.190000\n1407114891\t31.250000\n1407115492\t31.250000\n1407116092\t31.250000\n1407116693\t31.310000\n1407117293\t31.310000\n1407117894\t31.250000\n1407118494\t31.310000\n1407119095\t31.310000\n1407119695\t31.380000\n1407120296\t31.310000\n1407120896\t31.310000\n1407121497\t31.380000\n1407122097\t31.380000\n1407122698\t31.380000\n1407123298\t31.380000\n1407123914\t31.440000\n1407124514\t31.380000\n1407125115\t31.440000\n1407125715\t31.440000\n1407126316\t31.440000\n1407126916\t31.560000\n1407127517\t31.560000\n1407128117\t31.560000\n1407128718\t31.560000\n1407129319\t31.620000\n1407129919\t31.560000\n1407130520\t31.560000\n1407131120\t31.560000\n1407131721\t31.620000\n1407132321\t31.620000\n1407132922\t31.620000\n1407133522\t31.620000\n1407134123\t31.750000\n1407134723\t31.750000\n1407135324\t31.750000\n1407135924\t31.690000\n1407136525\t31.690000\n1407137125\t31.750000\n1407137726\t31.750000\n1407138326\t30.560000\n1407138927\t30.000000\n1407139528\t29.810000\n1407140128\t29.750000\n1407140729\t29.750000\n1407141329\t29.810000\n1407141930\t29.880000\n1407142530\t29.940000\n1407143146\t29.940000\n1407143746\t30.060000\n1407144347\t30.120000\n1407144947\t30.190000\n1407145548\t30.250000\n1407146149\t30.310000\n1407146749\t30.380000\n1407147350\t30.440000\n1407147950\t30.440000\n1407148551\t30.500000\n1407149151\t30.690000\n1407149752\t30.560000\n1407150352\t30.560000\n1407150953\t30.560000\n1407151553\t30.560000\n1407152154\t30.620000\n1407152754\t30.690000\n1407153355\t30.620000\n1407153955\t30.620000\n1407154556\t30.750000\n1407155157\t30.810000\n1407155757\t30.880000\n1407156358\t30.810000\n1407156958\t30.690000\n1407157559\t30.440000\n1407158159\t30.310000\n1407158760\t30.190000\n1407159360\t30.190000\n1407159961\t30.120000\n1407160561\t30.120000\n1407161162\t30.060000\n1407161762\t30.060000\n1407162363\t30.060000\n1407162979\t30.060000\n1407163579\t30.060000\n1408688147\t27.620000\n1408688747\t27.620000\n1408689348\t27.560000\n1408689948\t27.500000\n1408690549\t27.440000\n1408691149\t27.380000\n1408691750\t27.310000\n1408692350\t27.310000\n1408692966\t27.310000\n1408693566\t27.310000\n1408694167\t27.310000\n1408694768\t27.250000\n1408695368\t27.250000\n1408695969\t27.250000\n1408696569\t27.120000\n1408697170\t27.000000\n1408697770\t27.060000\n1408698371\t27.120000\n1408698971\t27.060000\n1408699572\t27.060000\n1408700172\t27.120000\n1408700773\t27.060000\n1408701373\t27.060000\n1408701974\t27.060000\n1408702575\t26.940000\n1408703175\t26.880000\n1408703776\t26.880000\n1408704376\t26.880000\n1408704977\t26.940000\n1408705577\t26.940000\n1408706178\t26.940000\n1408706778\t27.000000\n1408707379\t26.810000\n1408707979\t26.810000\n1408708580\t26.750000\n1408709180\t26.810000\n1408709781\t26.750000\n1408710382\t26.750000\n1408710982\t26.750000\n1408711583\t26.750000\n1408712183\t26.690000\n1408712784\t26.690000\n1408713384\t26.810000\n1408713985\t26.750000\n1408714600\t26.690000\n1408715201\t26.750000\n1408715801\t26.750000\n1408716402\t26.810000\n1408717003\t26.880000\n1408717603\t26.810000\n1408718204\t26.810000\n1408718804\t26.880000\n1408719405\t26.940000\n1408720005\t27.000000\n1408720606\t27.000000\n1408721206\t26.940000\n1408721807\t27.000000\n1408722408\t27.060000\n1408723008\t27.060000\n1408723609\t27.120000\n1408724209\t27.190000\n1408724810\t27.250000\n1408725410\t27.250000\n1408726011\t27.310000\n1408726611\t27.310000\n1408727212\t27.310000\n1408727812\t27.310000\n1408728413\t27.380000\n1408729013\t27.310000\n1408729614\t27.380000\n1408730214\t27.380000\n1408730815\t27.380000\n1408731416\t27.380000\n1408732016\t27.380000\n1408732617\t27.440000\n1408733217\t27.440000\n1408733818\t27.380000\n1408734418\t27.440000\n1408735019\t27.440000\n1408735619\t27.440000\n1408736220\t27.440000\n1408736821\t27.440000\n1408737436\t27.440000\n1408738037\t27.440000\n1408738637\t27.440000\n1408739238\t27.440000\n1408739838\t27.440000\n1408740439\t27.500000\n1408741039\t27.440000\n1408741640\t27.440000\n1408742240\t27.500000\n1408742841\t27.500000\n1408743441\t27.500000\n1408744042\t27.500000\n1408744642\t27.500000\n1408745243\t27.500000\n1408745844\t27.500000\n1408746444\t27.560000\n1408747045\t27.560000\n1408747645\t27.560000\n1408748246\t27.560000\n1408748846\t27.560000\n1408749447\t27.560000\n1408750047\t27.560000\n1408750648\t27.560000\n1408751248\t27.560000\n1408751849\t27.560000\n1408752450\t27.560000\n1408753050\t27.560000\n1408753651\t27.560000\n1408754251\t27.560000\n1408754852\t27.560000\n1408755452\t27.560000\n1408756053\t27.560000\n1408756653\t27.560000\n1408757254\t27.560000\n1408757854\t27.500000\n1408758455\t27.500000\n1408759071\t27.500000\n1408759671\t27.560000\n1408760272\t27.500000\n1408760872\t27.500000\n1408761473\t27.560000\n1408762073\t27.500000\n1408762674\t27.560000\n1408763274\t27.500000\n1408763875\t27.560000\n1408764475\t27.500000\n1408765076\t27.560000\n1408765677\t27.560000\n1408766277\t27.560000\n1408766878\t27.560000\n1408767478\t27.560000\n1408768079\t27.560000\n1408768679\t27.560000\n1408769280\t27.560000\n1408769880\t27.560000\n1408770481\t27.560000\n1408771081\t27.560000\n1408771682\t27.560000\n1408772282\t27.620000\n1408772883\t27.560000\n1408773484\t27.560000\n1408774084\t27.560000\n1408774685\t27.560000\n1408775285\t27.560000\n1408775886\t27.560000\n1408776486\t27.560000\n1408777087\t27.560000\n1408777687\t27.560000\n1408778288\t26.440000\n1408778888\t26.120000\n1408779489\t27.000000\n1408780104\t27.440000\n1408780705\t27.750000\n1408781306\t27.940000\n1408781906\t28.120000\n1408782507\t28.250000\n1408783107\t28.310000\n1408783708\t28.380000\n1408784308\t28.440000\n1408784909\t28.500000\n1408785509\t28.560000\n1408786110\t28.560000\n1408786710\t28.620000\n1408787311\t28.620000\n1408787911\t28.690000\n1408788512\t28.690000\n1408789113\t28.690000\n1408789713\t28.750000\n1408790314\t28.750000\n1408790914\t28.750000\n1408791515\t28.750000\n1408792115\t28.810000\n1408792716\t28.750000\n1408793316\t28.810000\n1408793917\t28.810000\n1408794517\t28.810000\n1408795118\t28.810000\n1408795718\t28.880000\n1408796319\t28.940000\n1408796919\t28.940000\n1408797520\t28.940000\n1408798120\t28.880000\n1408798721\t28.940000\n1408799322\t28.940000\n1408799922\t28.940000\n1408800523\t28.880000\n1408801123\t28.880000\n1408801724\t28.940000\n1408802339\t29.000000\n1408802940\t28.940000\n1408803540\t29.000000\n1408804141\t29.000000\n1408804741\t29.000000\n1408805342\t29.000000\n1408805943\t29.000000\n1408806543\t29.000000\n1408807144\t29.000000\n1408807744\t29.060000\n1408808345\t29.000000\n1408808945\t29.000000\n1408809546\t29.000000\n1408810146\t29.000000\n1408810747\t29.000000\n1408811347\t29.000000\n1408811948\t29.000000\n1408812549\t29.060000\n1408813149\t29.060000\n1408813750\t29.120000\n1408814350\t29.120000\n1408814951\t29.120000\n1408815551\t29.120000\n1408816152\t29.120000\n1408816752\t29.120000\n1408817353\t29.190000\n1408817953\t29.190000\n1408818554\t29.190000\n1408819155\t29.190000\n1408819755\t29.190000\n1408820355\t29.190000\n1408820956\t29.190000\n1408821556\t29.190000\n1408822157\t29.190000\n1408822772\t29.190000\n1408823373\t29.190000\n1408823973\t29.190000\n1408824574\t29.190000\n1408825174\t29.190000\n1408825775\t29.190000\n1408826376\t29.190000\n1408826976\t29.190000\n1408827577\t29.190000\n1408828177\t29.190000\n1408828778\t29.250000\n1408829378\t29.250000\n1408829979\t29.190000\n1408830579\t29.190000\n1408831180\t29.190000\n1408831780\t29.190000\n1408832381\t29.190000\n1408832981\t29.250000\n1408833582\t29.250000\n1408834182\t29.250000\n1408834783\t29.250000\n1408835384\t29.250000\n1408835984\t29.250000\n1408836585\t29.250000\n1408837185\t29.250000\n1408837786\t29.250000\n1408838386\t29.310000\n1408838987\t29.310000\n1408839587\t29.250000\n1408840188\t29.250000\n1408840788\t29.310000\n1408841389\t29.250000\n1408841990\t29.310000\n1408842590\t29.250000\n1408843191\t29.250000\n1408843791\t29.310000\n1408844392\t29.250000\n1408845007\t29.250000\n1408845608\t29.250000\n1408846208\t29.250000\n1408846809\t29.250000\n1408847409\t29.250000\n1408848010\t29.250000\n1408848610\t29.250000\n1408849211\t29.250000\n1408849811\t29.190000\n1408850412\t29.250000\n1408851013\t29.250000\n1408851613\t29.250000\n1408852214\t29.250000\n1408852814\t29.250000\n1408853415\t29.250000\n1408854015\t29.190000\n1408854616\t29.250000\n1408855216\t29.250000\n1408855817\t29.250000\n1408856417\t29.190000\n1408857018\t29.190000\n1408857618\t29.190000\n1408858219\t29.190000\n1408858820\t29.120000\n1408859420\t29.190000\n1408860021\t29.120000\n1408860621\t29.120000\n1408861222\t29.120000\n1408861822\t29.120000\n1408862423\t29.060000\n1408863023\t29.060000\n1408863624\t29.000000\n1408864224\t29.060000\n1408864825\t29.000000\n1408865425\t29.060000\n1408866026\t29.060000\n1408866641\t29.060000\n1408867242\t29.000000\n1408867843\t29.000000\n1408868443\t29.000000\n1408869044\t29.000000\n1408869644\t28.880000\n1408870245\t28.880000\n1408870845\t29.000000\n1408871446\t29.000000\n1408872046\t29.000000\n1408872647\t29.000000\n1408873247\t29.000000\n1408873848\t28.940000\n1408874449\t28.880000\n1408875049\t28.940000\n1408875650\t28.940000\n1408876250\t29.000000\n1408876851\t29.060000\n1408877451\t29.060000\n1408878052\t29.120000\n1408878652\t29.120000\n1408879253\t29.000000\n1408879853\t29.000000\n1408880454\t28.940000\n1408881055\t28.940000\n1408881655\t28.940000\n1408882256\t28.880000\n1408882856\t28.880000\n1408883457\t28.810000\n1408884057\t28.880000\n1408884658\t28.810000\n1408885258\t28.810000\n1408885859\t28.750000\n1408886459\t28.750000\n1408887060\t28.750000\n1408887660\t28.750000\n1408888276\t28.810000\n1408888877\t28.690000\n1408889477\t28.620000\n1408890078\t28.620000\n1408890678\t28.620000\n1408891279\t28.690000\n1408891879\t28.750000\n1408892480\t28.750000\n1408893080\t28.750000\n1408893681\t28.810000\n1408894281\t28.810000\n1408894882\t28.880000\n1408895482\t28.940000\n1408896083\t29.000000\n1408896683\t29.000000\n1408897284\t29.000000\n1408897884\t29.060000\n1408898485\t29.060000\n1408899085\t29.060000\n1408899686\t29.060000\n1408900287\t29.060000\n1408900887\t29.060000\n1408901488\t29.060000\n1408902088\t29.060000\n1408902689\t29.120000\n1408903289\t29.120000\n1408903890\t29.120000\n1408904490\t29.190000\n1408905091\t29.190000\n1408905691\t29.190000\n1408906292\t29.250000\n1408906907\t29.250000\n1408907508\t29.250000\n1408908109\t29.250000\n1408908709\t29.250000\n1408909310\t29.250000\n1408909910\t29.250000\n1408910511\t29.310000\n1408911111\t29.310000\n1408911712\t29.310000\n1408912312\t29.310000\n1408912913\t29.310000\n1408913513\t29.310000\n1408914114\t29.250000\n1408914714\t29.250000\n1408915315\t29.250000\n1408915916\t29.250000\n1408916516\t29.250000\n1408917117\t29.250000\n1408917717\t29.190000\n1408918318\t29.190000\n1408918918\t29.190000\n1408919519\t29.190000\n1408920119\t29.190000\n1408920720\t29.190000\n1408921320\t29.190000\n1408921921\t29.120000\n1408922521\t29.120000\n1408923122\t29.120000\n1408923723\t29.120000\n1408924338\t29.120000\n1408924939\t29.060000\n1408925539\t29.120000\n1408926140\t29.060000\n1408926740\t29.060000\n1408927341\t29.060000\n1408927941\t29.060000\n1408928542\t29.060000\n1408929142\t29.060000\n1408929743\t29.060000\n1408930344\t29.000000\n1408930944\t29.000000\n1408931545\t29.000000\n1408932145\t29.000000\n1408932746\t28.940000\n1408933346\t28.940000\n1408933947\t28.940000\n1408934547\t28.940000\n1408935148\t28.940000\n1408935748\t28.880000\n1408936349\t28.880000\n1408936949\t28.880000\n1408937550\t28.880000\n1408938150\t28.880000\n1408938751\t28.880000\n1408939351\t28.880000\n1408939952\t28.810000\n1408940553\t28.810000\n1408941153\t28.810000\n1408941754\t28.810000\n1408942354\t28.810000\n1408942970\t28.810000\n1408943570\t28.810000\n1408944171\t28.810000\n1408944771\t28.810000\n1408945372\t28.810000\n1408945972\t28.810000\n1408946573\t28.810000\n1408947173\t28.810000\n1408947774\t28.810000\n1408948374\t28.880000\n1408948975\t28.810000\n1408949576\t28.880000\n1408950176\t28.880000\n1408950777\t28.880000\n1408951377\t28.880000\n1408951978\t28.880000\n1408952578\t28.880000\n1408953179\t28.880000\n1408953779\t28.940000\n1408954380\t28.940000\n1408954980\t28.940000\n1408955581\t28.940000\n1408956181\t28.940000\n1408956782\t28.940000\n1408957382\t28.940000\n1408957983\t28.940000\n1408958584\t28.940000\n1408959184\t29.000000\n1408959785\t29.000000\n1408960385\t29.000000\n1408961001\t29.000000\n1408961601\t28.620000\n1408962202\t26.500000\n1408962802\t26.120000\n1408963403\t25.810000\n1408964003\t25.560000\n1408964604\t25.500000\n1408965205\t25.380000\n1408965805\t25.250000\n1408966406\t25.120000\n1408967006\t25.000000\n1408967607\t24.940000\n1408968207\t24.440000\n1408968808\t24.120000\n1408969408\t23.880000\n1408970009\t23.750000\n1408970609\t23.750000\n1408971210\t23.690000\n1408971810\t23.560000\n1408972411\t23.500000\n1408973012\t23.440000\n1408973612\t23.310000\n1408974213\t23.190000\n1408974813\t23.060000\n1408975414\t22.940000\n1408976014\t22.810000\n1408976615\t22.620000\n1408977215\t22.940000\n1408977831\t24.060000\n1408978431\t24.690000\n1408979032\t25.060000\n1408979633\t25.380000\n1408980233\t25.560000\n1408980834\t25.750000\n1408981434\t25.880000\n1408982035\t26.000000\n1408982635\t26.060000\n1408983236\t26.120000\n1408983836\t26.190000\n1408984437\t26.310000\n1408985037\t26.380000\n1408985638\t26.380000\n1408986238\t26.440000\n1408986839\t26.500000\n1408987439\t26.500000\n1408988040\t26.500000\n1408988640\t26.620000\n1408989241\t26.620000\n1408989842\t26.620000\n1408990442\t26.620000\n1408991043\t26.690000\n1408991643\t26.690000\n1408992244\t26.750000\n1408992844\t26.750000\n1408993445\t26.750000\n1408994045\t26.810000\n1408994646\t26.750000\n1408995247\t26.810000\n1408995847\t26.810000\n1408996463\t26.880000\n1408997063\t26.880000\n1408997664\t26.880000\n1408998264\t26.880000\n1408998865\t26.940000\n1408999465\t26.940000\n1409000066\t26.940000\n1409000666\t26.940000\n1409001267\t26.940000\n1409001868\t26.940000\n1409002468\t27.000000\n1409003069\t27.000000\n1409003669\t27.000000\n1409004270\t27.000000\n1409004870\t27.000000\n1409005471\t27.060000\n1409006071\t27.120000\n1409006672\t27.060000\n1409007272\t27.060000\n1409007873\t27.060000\n1409008474\t27.060000\n1409009074\t27.060000\n1409009675\t27.060000\n1409010275\t27.060000\n1409010876\t27.060000\n1409011476\t27.060000\n1409012077\t27.060000\n1409012677\t27.060000\n1409013278\t27.060000\n1409013878\t27.060000\n1409014479\t27.060000\n1409015079\t27.060000\n1409015695\t27.060000\n1409016295\t27.000000\n1409016896\t27.000000\n1409017497\t27.000000\n1409018097\t26.940000\n1409018698\t26.940000\n1409019298\t26.940000\n1409019899\t26.940000\n1409020499\t26.880000\n1409021100\t26.880000\n1409021700\t26.880000\n1409022301\t26.810000\n1409022902\t26.880000\n1409023502\t26.880000\n1409024103\t26.880000\n1409024703\t26.880000\n1409025304\t26.880000\n1409025904\t26.880000\n1409026505\t26.940000\n1409027105\t26.880000\n1409027706\t26.880000\n1409028306\t26.880000\n1409028907\t26.810000\n1409029507\t26.810000\n1409030108\t26.880000\n1409030708\t26.880000\n1409031309\t26.880000\n1409031925\t26.880000\n1409032525\t26.880000\n1409033126\t26.880000\n1409033726\t26.880000\n1409034327\t26.940000\n1409034927\t26.880000\n1409035528\t26.880000\n1409036128\t26.940000\n1409036729\t26.880000\n1409037329\t26.940000\n1409037930\t26.940000\n1409038530\t26.940000\n1409039131\t26.880000\n1409039732\t26.940000\n1409040332\t26.880000\n1409040933\t26.940000\n1409041533\t26.940000\n1409042134\t27.000000\n1409042734\t26.940000\n1409043335\t27.000000\n1409043935\t25.060000\n1409044536\t25.810000\n1409045136\t26.250000\n1409045737\t26.440000\n1409046337\t26.560000\n1409046938\t26.690000\n1409047538\t26.750000\n1409048139\t26.810000\n1409048740\t26.880000\n1409049340\t26.880000\n1409049941\t26.940000\n1409050556\t27.000000\n1409051157\t27.000000\n1409051757\t27.060000\n1409052358\t27.060000\n1409052958\t27.060000\n1409053559\t27.120000\n1409054160\t27.120000\n1409054760\t27.190000\n1409055361\t27.190000\n1409055961\t27.250000\n1409056562\t27.250000\n1409057162\t27.310000\n1409057763\t27.310000\n1409058363\t27.250000\n1409058964\t25.690000\n1409059565\t24.620000\n1409060165\t25.310000\n1409060766\t26.000000\n1409061366\t26.310000\n1409061967\t26.560000\n1409062567\t26.690000\n1409063168\t26.750000\n1409063768\t26.810000\n1409064369\t26.880000\n1409064969\t26.940000\n1409065570\t26.940000\n1409066170\t26.120000\n1409066771\t26.060000\n1409067371\t26.440000\n1409067972\t26.690000\n1409068573\t26.810000\n1409069173\t26.880000\n1409069789\t26.940000\n1409070389\t26.940000\n1409070990\t26.940000\n1409071590\t27.000000\n1409072191\t27.060000\n1409072791\t27.060000\n1409073392\t27.060000\n1409073992\t27.060000\n1409074593\t25.940000\n1409075194\t24.440000\n1409075794\t23.690000\n1409076395\t23.120000\n1409076995\t23.940000\n1409077596\t25.000000\n1409078196\t25.560000\n1409078797\t25.880000\n1409079397\t26.120000\n1409079998\t26.250000\n1409080598\t26.380000\n1409081199\t26.500000\n1409081799\t26.560000\n1409082400\t26.620000\n1409083000\t26.690000\n1409083601\t26.690000\n1409084202\t26.750000\n1409084802\t26.750000\n1409085403\t26.810000\n1409086003\t26.810000\n1409086604\t26.810000\n1409087204\t26.880000\n1409087805\t26.880000\n1409088420\t26.940000\n1409089021\t26.940000\n1409089621\t26.940000\n1409090222\t27.000000\n1409090822\t27.000000\n1409091423\t27.000000\n1409092023\t27.060000\n1409092624\t27.060000\n1409093224\t27.060000\n1409093825\t27.120000\n1409094425\t27.120000\n1409095026\t27.120000\n1409095626\t27.190000\n1409096227\t27.120000\n1409096828\t27.190000\n1409097428\t27.190000\n1409098029\t27.190000\n1409098629\t27.190000\n1409099230\t27.190000\n1409099830\t27.250000\n1409100431\t27.250000\n1409101031\t27.250000\n1409101632\t27.250000\n1409102233\t27.250000\n1409102833\t27.250000\n1409103434\t27.250000\n1409104034\t27.250000\n1409104635\t27.250000\n1409105235\t27.250000\n1409105836\t27.250000\n1409106436\t27.250000\n1409107037\t27.250000\n1409107637\t27.250000\n1409108238\t27.250000\n1409108853\t27.250000\n1409109454\t27.250000\n1409110054\t27.310000\n1409110655\t27.310000\n1409111255\t27.310000\n1409111856\t27.310000\n1409112457\t27.310000\n1409113057\t27.310000\n1409113658\t27.380000\n1409114258\t27.380000\n1409114859\t27.380000\n1409115459\t27.380000\n1409116060\t27.380000\n1409116660\t27.380000\n1409117261\t27.440000\n1409117861\t27.380000\n1409118462\t27.440000\n1409119062\t27.440000\n1409119663\t27.440000\n1409120263\t27.440000\n1409120864\t27.440000\n1409121465\t27.440000\n1409122065\t27.440000\n1409122666\t27.380000\n1409123266\t27.380000\n1409123867\t27.380000\n1409124467\t27.440000\n1409125068\t27.380000\n1409125668\t27.440000\n1409126269\t27.440000\n1409126869\t27.440000\n1409127470\t27.440000\n1409128071\t27.440000\n1409128671\t27.440000\n1409129272\t27.500000\n1409129872\t27.500000\n1409130488\t27.560000\n1409131088\t27.560000\n1409131689\t27.560000\n1409132289\t27.560000\n1409132890\t27.620000\n1409133491\t27.620000\n1409134091\t27.620000\n1409134692\t27.620000\n1409135292\t27.620000\n1409135893\t27.620000\n1409136493\t27.690000\n1409137094\t27.620000\n1409137694\t27.620000\n1409138295\t27.690000\n1409138895\t27.690000\n1409139496\t27.690000\n1409140096\t27.690000\n1409140697\t27.690000\n1409141298\t27.690000\n1409141898\t27.750000\n1409142499\t27.750000\n1409143099\t27.750000\n1409143700\t27.750000\n1409144300\t27.750000\n1409144901\t27.750000\n1409145501\t27.810000\n1409146102\t27.810000\n1409146702\t27.810000\n1409147303\t27.880000\n1409147903\t27.880000\n1409148504\t27.810000\n1409149105\t27.880000\n1409149720\t27.880000\n1409150321\t27.880000\n1409150921\t27.880000\n1409151522\t27.940000\n1409152122\t27.940000\n1409152723\t27.940000\n1409153323\t27.940000\n1409153924\t27.940000\n1409154524\t27.940000\n1409155125\t27.940000\n1409155725\t27.940000\n1409156326\t28.000000\n1409156927\t27.940000\n1409157527\t28.000000\n1409158128\t28.000000\n1409158728\t28.000000\n1409159329\t28.000000\n1409159929\t28.060000\n1409160530\t28.060000\n1409161130\t28.060000\n1409161731\t28.060000\n1409162332\t28.060000\n1409162932\t28.060000\n1409163533\t28.000000\n1409164133\t28.000000\n1409164734\t28.000000\n1409165334\t28.000000\n1409165935\t28.000000\n1409166535\t28.000000\n1409167136\t28.000000\n1409167736\t28.000000\n1409168337\t28.000000\n1409168952\t27.940000\n1409169553\t27.940000\n1409170153\t27.940000\n1409170754\t27.940000\n1409171355\t27.940000\n1409171955\t27.880000\n1409172556\t27.940000\n1409173156\t27.940000\n1409173757\t27.940000\n1409174357\t27.940000\n1409174958\t28.000000\n1409175558\t27.940000\n1409176159\t27.940000\n1409176759\t27.940000\n1409177360\t27.940000\n1409177961\t28.000000\n1409178561\t28.000000\n1409179161\t27.940000\n1409179762\t27.940000\n1409180363\t27.880000\n1409180963\t27.880000\n1409181564\t27.880000\n1409182164\t27.880000\n1409182765\t27.880000\n1409183365\t27.880000\n1409183966\t27.880000\n1409184566\t27.880000\n1409185167\t27.810000\n1409185767\t27.880000\n1409186368\t27.880000\n1409186969\t27.880000\n1409187584\t27.880000\n1409188185\t27.810000\n1409188785\t27.810000\n1409189386\t27.810000\n1409189986\t27.750000\n1409190587\t27.690000\n1409191187\t27.690000\n1409191788\t27.690000\n1409192388\t27.690000\n1409192989\t27.620000\n1409193590\t27.620000\n1409194190\t27.620000\n1409194791\t27.620000\n1409195391\t27.560000\n1409195992\t27.560000\n1409196592\t27.560000\n1409197193\t27.560000\n1409197793\t27.560000\n1409198394\t27.560000\n1409198994\t27.560000\n1409199595\t27.560000\n1409200195\t27.560000\n1409200796\t27.560000\n1409201396\t27.560000\n1409201997\t27.560000\n1409202598\t27.500000\n1409203198\t27.500000\n1409203799\t27.500000\n1409204399\t27.500000\n1409205000\t27.560000\n1409205600\t27.500000\n1409206216\t27.560000\n1409206816\t27.500000\n1409207417\t27.560000\n1409208017\t27.560000\n1409208618\t27.560000\n1409209218\t27.500000\n1409209819\t25.250000\n1409210419\t23.060000\n1409211020\t22.120000\n1409211621\t21.620000\n1409212221\t21.310000\n1409212822\t21.190000\n1409213422\t21.060000\n1409214023\t21.060000\n1409214623\t21.120000\n1409215224\t21.120000\n1409215824\t21.190000\n1409216425\t21.440000\n1409217026\t23.000000\n1409217626\t23.940000\n1409218227\t24.500000\n1409218827\t24.880000\n1409219428\t25.190000\n1409220028\t25.440000\n1409220629\t25.620000\n1409221229\t25.750000\n1409221830\t25.880000\n1409222430\t25.690000\n1409223031\t25.690000\n1409223631\t25.750000\n1409224232\t25.750000\n1409224847\t25.750000\n1409225448\t25.690000\n1409226049\t25.750000\n1409226649\t25.750000\n1409227250\t25.750000\n1409227850\t26.000000\n1409228451\t25.750000\n1409229051\t24.880000\n1409229652\t24.440000\n1409230252\t24.190000\n1409230853\t24.380000\n1409231453\t24.880000\n1409232054\t25.440000\n1409232655\t25.810000\n1409233255\t26.060000\n1409233856\t25.880000\n1409234456\t24.880000\n1409235057\t24.380000\n1409235657\t23.940000\n1409236258\t23.810000\n1409236858\t23.690000\n1409237459\t23.560000\n1409238059\t23.560000\n1409238660\t23.500000\n1409239260\t23.940000\n1409239861\t24.750000\n1409240462\t25.190000\n1409241062\t25.500000\n1409241663\t25.690000\n1409242263\t25.880000\n1409242864\t26.000000\n1409243479\t26.060000\n1409244080\t26.120000\n1409244680\t26.190000\n1409245281\t26.250000\n1409245881\t26.310000\n1409246482\t26.380000\n1409247083\t26.380000\n1409247683\t26.380000\n1409248284\t26.500000\n1409248884\t26.500000\n1409249485\t26.500000\n1409250085\t26.500000\n1409250686\t26.560000\n1409251286\t26.560000\n1409251887\t26.560000\n1409252487\t26.620000\n1409253088\t26.620000\n1409253688\t26.620000\n1409254289\t26.620000\n1409254889\t26.690000\n1409255490\t26.690000\n1409256090\t26.690000\n1409256691\t26.750000\n1409257292\t26.750000\n1409257892\t26.750000\n1409258493\t26.750000\n1409259093\t26.750000\n1409259694\t26.750000\n1409260294\t26.750000\n1409260895\t26.810000\n1409261510\t26.810000\n1409262111\t26.810000\n1409262711\t26.810000\n1409263312\t26.880000\n1409263912\t26.880000\n1409264513\t26.940000\n1409265113\t26.940000\n1409265714\t26.940000\n1409266315\t26.940000\n1409266915\t26.880000\n1409267516\t26.880000\n1409268116\t26.880000\n1409268717\t26.880000\n1409269317\t26.880000\n1409269918\t26.940000\n1409270518\t26.880000\n1409271119\t26.880000\n1409271719\t26.940000\n1409272320\t26.940000\n1409272920\t26.940000\n1409273521\t26.940000\n1409274121\t26.940000\n1409274722\t26.940000\n1409275322\t26.940000\n1409275923\t26.940000\n1409276524\t26.940000\n1409277124\t26.940000\n1409277725\t26.940000\n1409278325\t26.940000\n1409278941\t27.000000\n1409279541\t27.000000\n1409280142\t27.000000\n1409280742\t27.000000\n1409281343\t27.000000\n1409281944\t27.000000\n1409282544\t27.000000\n1409283145\t27.000000\n1409283745\t26.940000\n1409284346\t27.000000\n1409284946\t27.000000\n1409285547\t26.940000\n1409286147\t27.000000\n1409286748\t27.000000\n1409287348\t27.000000\n1409287949\t27.000000\n1409288549\t27.000000\n1409289150\t27.000000\n1409289751\t27.000000\n1409290351\t27.000000\n1409290952\t27.000000\n1409291552\t27.000000\n1409292153\t27.000000\n1409292753\t27.060000\n1409293354\t27.060000\n1409293954\t27.060000\n1409294555\t27.060000\n1409295155\t27.120000\n1409295756\t27.060000\n1409296356\t27.060000\n1409296957\t27.120000\n1409297572\t27.060000\n1409298173\t27.060000\n1409298774\t27.120000\n1409299374\t27.060000\n1409299975\t27.120000\n1409300575\t27.120000\n1409301176\t27.120000\n1409301776\t27.120000\n1409302377\t27.190000\n1409302977\t27.190000\n1409303578\t27.190000\n1409304178\t27.190000\n1409304779\t27.250000\n1409305379\t27.190000\n1409305980\t27.250000\n1409306581\t27.250000\n1409307181\t27.250000\n1409307782\t27.250000\n1409308382\t27.310000\n1409308983\t27.310000\n1409309583\t27.310000\n1409310184\t27.310000\n1409310784\t27.250000\n1409311385\t27.250000\n1409311985\t27.310000\n1409312586\t27.380000\n1409313187\t27.380000\n1409313787\t27.440000\n1409314388\t27.440000\n1409314988\t27.380000\n1409315604\t27.380000\n1409316204\t27.440000\n1409316805\t27.380000\n1409317405\t27.440000\n1409318006\t27.440000\n1409318606\t27.440000\n1409319207\t27.500000\n1409319808\t27.500000\n1409320408\t27.440000\n1409321009\t27.440000\n1409321609\t27.440000\n1409322210\t27.440000\n1409322810\t27.440000\n1409323411\t27.500000\n1409324011\t27.500000\n1409324612\t27.500000\n1409325212\t27.500000\n1409325813\t27.560000\n1409326414\t27.560000\n1409327014\t27.560000\n1409327614\t27.560000\n1409328215\t27.560000\n1409328816\t27.620000\n1409329416\t27.620000\n1409330017\t27.620000\n1409330617\t27.690000\n1409331218\t27.690000\n1409331818\t27.690000\n1409332419\t27.750000\n1409333019\t27.690000\n1409333635\t27.750000\n1409334235\t27.750000\n1409334836\t27.750000\n1409335436\t27.750000\n1409336037\t27.750000\n1409336637\t27.750000\n1409337238\t27.750000\n1409337838\t27.750000\n1409338439\t27.750000\n1409339040\t27.750000\n1409339640\t27.750000\n1409340241\t27.750000\n1409340841\t27.750000\n1409341442\t27.750000\n1409342042\t27.750000\n1409342643\t27.750000\n1409343243\t27.810000\n1409343844\t27.810000\n1409344444\t27.810000\n1409345045\t27.810000\n1409345646\t27.810000\n1409346246\t27.810000\n1409346847\t27.810000\n1409347447\t27.810000\n1409348048\t27.810000\n1409348648\t27.810000\n1409349249\t27.810000\n1409349849\t27.810000\n1409350450\t27.750000\n1409351050\t27.750000\n1409351651\t27.810000\n1409352266\t27.810000\n1409352867\t27.750000\n1409353467\t27.750000\n1409354068\t27.690000\n1409354668\t27.750000\n1409355269\t27.750000\n1409355870\t27.750000\n1409356470\t27.750000\n1409357071\t27.690000\n1409357671\t27.750000\n1409358272\t27.750000\n1409358872\t27.810000\n1409359473\t27.750000\n1409360073\t27.750000\n1409360674\t27.750000\n1409361274\t27.750000\n1409361875\t27.750000\n1409362475\t27.810000\n1409363076\t27.810000\n1409363677\t27.810000\n1409364277\t27.810000\n1409364878\t27.810000\n1409365478\t27.810000\n1409366079\t27.810000\n1409366679\t27.810000\n1409367280\t27.810000\n1409367880\t27.810000\n1409368481\t27.810000\n1409369081\t27.810000\n1409369697\t27.810000\n1409370298\t27.810000\n1409370898\t27.810000\n1409371499\t27.810000\n1409372099\t27.810000\n1409372700\t27.810000\n1409373300\t27.810000\n1409373901\t27.810000\n1409374501\t27.810000\n1409375102\t27.810000\n1409375702\t27.810000\n1409376303\t27.750000\n1409376903\t27.810000\n1409377504\t27.810000\n1409378105\t27.750000\n1409378705\t27.750000\n1409379306\t27.750000\n1409379906\t27.750000\n1409380507\t27.690000\n1409381107\t27.750000\n1409381708\t27.750000\n1409382308\t27.750000\n1409382909\t27.750000\n1409383509\t27.750000\n1409384110\t27.750000\n1409384710\t27.810000\n1409385311\t27.750000\n1409385912\t27.750000\n1409386512\t27.690000\n1409387113\t27.690000\n1409387728\t27.690000\n1409388329\t27.690000\n1409388929\t27.750000\n1409389530\t27.690000\n1409390130\t27.690000\n1409390731\t27.690000\n1409391331\t27.690000\n1409391932\t27.690000\n1409392532\t27.500000\n1409393133\t27.560000\n1409393734\t27.620000\n1409394334\t27.690000\n1409394935\t27.620000\n1409395535\t27.620000\n1409396136\t27.690000\n1409396736\t27.690000\n1409397337\t27.690000\n1409397937\t27.690000\n1409398538\t27.620000\n1409399138\t27.690000\n1409399739\t27.750000\n1409400339\t27.750000\n1409400940\t27.690000\n1409401541\t27.750000\n1409402141\t27.750000\n1409402742\t27.750000\n1409403342\t27.810000\n1409403943\t27.750000\n1409404543\t27.750000\n1409405144\t27.750000\n1409405744\t27.750000\n1409406360\t27.750000\n1409406960\t27.750000\n1409407561\t27.810000\n1409408161\t27.810000\n1409408762\t27.810000\n1409409363\t27.880000\n1409409963\t27.880000\n1409410564\t27.880000\n1409411164\t27.880000\n1409411765\t27.880000\n1409412365\t27.880000\n1409412966\t27.880000\n1409413566\t27.940000\n1409414167\t27.940000\n1409414767\t27.940000\n1409415368\t27.940000\n1409415968\t27.940000\n1409416569\t27.940000\n1409417169\t27.940000\n1409417770\t28.000000\n1409418370\t28.000000\n1409418971\t28.000000\n1409419571\t28.060000\n1409420172\t28.000000\n1409420773\t28.000000\n1409421373\t28.000000\n1409421974\t28.000000\n1409422574\t28.000000\n1409423175\t28.000000\n1409423775\t27.940000\n1409424376\t27.940000\n1409424991\t27.940000\n1409425592\t27.940000\n1409426192\t27.940000\n1409426793\t27.940000\n1409427393\t27.940000\n1409427994\t27.940000\n1409428594\t27.940000\n1409429195\t27.940000\n1409429796\t27.940000\n1409430396\t28.000000\n1409430997\t28.060000\n1409431597\t28.000000\n1409432198\t28.000000\n1409432798\t27.940000\n1409433399\t28.000000\n1409433999\t28.000000\n1409434600\t28.000000\n1409435200\t28.000000\n1409435801\t28.000000\n1409436401\t28.000000\n1409437002\t28.000000\n1409437603\t28.060000\n1409438203\t28.060000\n1409438804\t28.060000\n1409439404\t28.120000\n1409440005\t28.060000\n1409440605\t28.060000\n1409441206\t28.060000\n1409441806\t28.060000\n1409442422\t28.060000\n1409443022\t28.060000\n1409443623\t28.060000\n1409444223\t28.060000\n1409444824\t28.120000\n1409445425\t28.120000\n1409446025\t28.060000\n1409446626\t28.000000\n1409447226\t28.000000\n1409447827\t28.000000\n1409448427\t28.000000\n1409449028\t28.000000\n1409449628\t27.940000\n1409450229\t27.940000\n1409450829\t27.940000\n1409451430\t27.940000\n1409452030\t27.940000\n1409452631\t27.880000\n1409453232\t27.880000\n1409453832\t27.810000\n1409454433\t27.810000\n1409455033\t27.880000\n1409455634\t27.810000\n1409456234\t27.810000\n1409456835\t27.810000\n1409457435\t27.810000\n1409458036\t27.810000\n1409458637\t27.810000\n1409459237\t27.750000\n1409459838\t27.750000\n1409460438\t27.810000\n1409461054\t27.810000\n1409461654\t27.810000\n1409462255\t27.810000\n1409462855\t27.750000\n1409463456\t27.690000\n1409464056\t27.690000\n1409464657\t27.690000\n1409465257\t27.690000\n1409465858\t27.690000\n1409466458\t27.690000\n1409467059\t27.620000\n1409467659\t27.620000\n1409468260\t27.620000\n1409468860\t27.560000\n1409469461\t27.620000\n1409470062\t27.620000\n1409470662\t27.560000\n1409471263\t27.560000\n1409471863\t27.560000\n1409472464\t27.560000\n1409473064\t27.560000\n1409473665\t27.500000\n1409474265\t27.500000\n1409474866\t27.500000\n1409475466\t27.500000\n1409476067\t27.440000\n1409476667\t27.500000\n1409477268\t27.500000\n1409477869\t27.500000\n1409478484\t27.500000\n1409479085\t27.500000\n1409479685\t27.500000\n1409480286\t27.500000\n1409480886\t27.560000\n1409481487\t27.620000\n1409482087\t27.560000\n1409482688\t27.560000\n1409483288\t27.620000\n1409483889\t27.620000\n1409484490\t27.620000\n1409485090\t27.620000\n1409485691\t27.620000\n1409486291\t27.620000\n1409486892\t27.620000\n1409487492\t27.620000\n1409488093\t27.620000\n1409488693\t27.690000\n1409489294\t27.620000\n1409489894\t27.690000\n1409490495\t27.690000\n1409491096\t27.750000\n1409491696\t27.690000\n1409492297\t27.690000\n1409492897\t27.620000\n1409493498\t27.620000\n1409494098\t27.620000\n1409494699\t27.750000\n1409495299\t27.750000\n1409495900\t27.810000\n1409496500\t27.810000\n1409497101\t27.750000\n1409497701\t27.750000\n1409498302\t27.750000\n1409498902\t27.810000\n1409499503\t27.810000\n1409500119\t27.750000\n1409500719\t27.810000\n1409501320\t27.810000\n1409501920\t27.880000\n1409502521\t27.880000\n1409503121\t27.880000\n1409503722\t27.880000\n1409504322\t27.940000\n1409504923\t27.880000\n1409505523\t27.880000\n1409506124\t27.880000\n1409506724\t27.940000\n1409507325\t27.940000\n1409507926\t27.940000\n1409508526\t27.940000\n1409509127\t27.940000\n1409509727\t27.940000\n1409510328\t27.940000\n1409510928\t27.940000\n1409511529\t27.940000\n1409512129\t27.940000\n1409512730\t28.000000\n1409513330\t28.000000\n1409513931\t28.000000\n1409514531\t28.000000\n1409515132\t28.060000\n1409515732\t28.060000\n1409516333\t28.000000\n1409516933\t28.060000\n1409517534\t28.000000\n1409518135\t27.940000\n1409518735\t28.000000\n1409519336\t27.940000\n1409519936\t28.000000\n1409520552\t27.940000\n1409521152\t27.940000\n1409521753\t27.940000\n1409522353\t27.940000\n1409522954\t27.940000\n1409523554\t27.940000\n1409524155\t27.940000\n1409524755\t27.940000\n1409525356\t27.940000\n1409525957\t27.940000\n1409526557\t27.880000\n1409527158\t27.940000\n1409527758\t27.880000\n1409528359\t27.880000\n1409528959\t27.810000\n1409529560\t27.810000\n1409530160\t27.880000\n1409530761\t27.810000\n1409531361\t27.880000\n1409531962\t27.810000\n1409532563\t27.810000\n1409533163\t27.810000\n1409533764\t27.810000\n1409534364\t27.880000\n1409534965\t27.810000\n1409535565\t27.810000\n1409536166\t27.810000\n1409536766\t27.810000\n1409537367\t27.810000\n1409537967\t27.880000\n1409538568\t27.880000\n1409539169\t27.880000\n1409539769\t27.880000\n1409540385\t27.880000\n1409540985\t27.880000\n1409541586\t27.880000\n1409542186\t27.810000\n1409542787\t27.880000\n1409543387\t27.880000\n1409543988\t27.880000\n1409544588\t27.880000\n1409545189\t27.880000\n1409545789\t27.880000\n1409546390\t27.880000\n1409546991\t27.880000\n1409547591\t27.880000\n1409548191\t27.880000\n1409548792\t27.880000\n1409549393\t27.810000\n1409549993\t27.880000\n1409550594\t27.810000\n1409551194\t27.880000\n1409551795\t27.880000\n1409552395\t27.880000\n1409552996\t27.880000\n1409553596\t27.880000\n1409554197\t27.880000\n1409554797\t27.880000\n1409555398\t27.940000\n1409555998\t27.880000\n1409556599\t27.940000\n1409557199\t27.880000\n1409557800\t27.880000\n1409558415\t27.880000\n1409559016\t27.810000\n1409559617\t27.810000\n1409560217\t27.620000\n1409560818\t27.750000\n1409561418\t27.810000\n1409562019\t27.750000\n1409562619\t27.810000\n1409563220\t27.810000\n1409563820\t27.880000\n1409564421\t27.880000\n1409565021\t27.880000\n1409565622\t27.810000\n1409566222\t27.880000\n1409566823\t27.940000\n1409567423\t27.940000\n1409568024\t27.940000\n1409568625\t27.940000\n1409569225\t27.940000\n1409569826\t27.940000\n1409570426\t27.940000\n1409571027\t27.940000\n1409571627\t27.940000\n1409572228\t28.000000\n1409572828\t28.000000\n1409573429\t28.060000\n1409574029\t28.000000\n1409574630\t28.060000\n1409575231\t28.060000\n1409575831\t28.060000\n1409576432\t28.060000\n1409577032\t28.060000\n1409577648\t28.060000\n1409578248\t28.120000\n1409578849\t28.120000\n1409579449\t28.120000\n1409580050\t28.120000\n1409580650\t28.120000\n1409581251\t28.120000\n1409581851\t28.120000\n1409582452\t28.190000\n1409583053\t28.120000\n1409583653\t28.190000\n1409584254\t28.190000\n1409584854\t28.190000\n1409585455\t28.190000\n1409586055\t28.120000\n1409586656\t28.190000\n1409587256\t28.190000\n1409587857\t28.190000\n1409588457\t28.250000\n1409589058\t28.250000\n1409589658\t28.250000\n1409590259\t28.250000\n1409590860\t28.250000\n1409591460\t28.250000\n1409592061\t28.250000\n1409592661\t28.250000\n1409593262\t28.250000\n1409593862\t28.250000\n1409594463\t28.190000\n1409595063\t28.190000\n1409595664\t28.250000\n1409596264\t28.190000\n1409596880\t28.190000\n1409597481\t28.250000\n1409598081\t28.250000\n1409598682\t28.250000\n1409599282\t28.250000\n1409599883\t28.250000\n1409600483\t28.250000\n1409601084\t28.250000\n1409601684\t28.250000\n1409602285\t28.250000\n1409602885\t28.250000\n1409603486\t28.310000\n1409604086\t28.250000\n1409604687\t28.250000\n1409605287\t28.190000\n1409605888\t28.190000\n1409606489\t28.190000\n1409607089\t28.190000\n1409607690\t28.250000\n1409608290\t28.190000\n1409608891\t28.190000\n1409609491\t28.190000\n1409610092\t28.190000\n1409610692\t28.190000\n1409611293\t28.190000\n1409611893\t28.190000\n1409612494\t28.190000\n1409613095\t28.190000\n1409613695\t28.190000\n1409614296\t28.120000\n1409614911\t28.190000\n1409615512\t28.120000\n1409616112\t28.190000\n1409616713\t28.190000\n1409617313\t28.190000\n1409617914\t28.120000\n1409618514\t28.120000\n1409619115\t28.120000\n1409619715\t28.120000\n1409620316\t28.120000\n1409620917\t28.190000\n1409621517\t28.120000\n1409622118\t28.120000\n1409622718\t28.120000\n1409623319\t28.120000\n1409623919\t28.120000\n1409624520\t28.120000\n1409625120\t28.190000\n1409625721\t28.190000\n1409626321\t28.190000\n1409626922\t28.120000\n1409627523\t28.120000\n1409628123\t28.120000\n1409628724\t28.190000\n1409629324\t28.190000\n1409629925\t28.190000\n1409630525\t28.190000\n1409631126\t28.190000\n1409631726\t28.190000\n1409632327\t28.250000\n1409632927\t28.190000\n1409633528\t28.190000\n1409634144\t28.190000\n1409634744\t28.250000\n1409635345\t28.250000\n1409635945\t28.190000\n1409636546\t28.190000\n1409637146\t28.250000\n1409637747\t28.190000\n1409638347\t28.250000\n1409638948\t28.250000\n1409639548\t28.250000\n1409640149\t28.250000\n1409640750\t28.190000\n1409641350\t28.190000\n1409641951\t28.190000\n1409642551\t28.190000\n1409643152\t28.190000\n1409643752\t28.190000\n1409644353\t28.190000\n1409644953\t28.190000\n1409645554\t28.190000\n1409646154\t28.250000\n1409646755\t28.250000\n1409647355\t28.250000\n1409647956\t28.250000\n1409648556\t28.250000\n1409649157\t28.250000\n1409649757\t28.250000\n1409650358\t28.250000\n1409650958\t28.310000\n1409651559\t28.310000\n1409652175\t28.310000\n1409652775\t28.310000\n1409653376\t28.310000\n1409653976\t28.380000\n1409654577\t28.310000\n1409655177\t28.310000\n1409655778\t28.310000\n1409656378\t28.310000\n1409656979\t28.310000\n1409657579\t28.380000\n1409658180\t28.310000\n1409658780\t28.380000\n1409659381\t28.380000\n1409659982\t28.380000\n1409660582\t28.380000\n1409661183\t28.440000\n1409661783\t28.380000\n1409662384\t28.440000\n1409662984\t28.440000\n1409663585\t28.440000\n1409664185\t28.500000\n1409664786\t28.440000\n1409665386\t28.380000\n1409665987\t28.380000\n1409666587\t28.440000\n1409667188\t28.500000\n1409667789\t28.440000\n1409668389\t28.560000\n1409668990\t28.560000\n1409669590\t28.500000\n1409670206\t28.500000\n1409670806\t28.560000\n1409671407\t28.500000\n1409672007\t28.560000\n1409672608\t28.560000\n1409673208\t28.560000\n1409673809\t28.560000\n1409674410\t28.560000\n1409675010\t28.560000\n1409675611\t28.560000\n1409676211\t28.560000\n1409676812\t28.560000\n1409677412\t28.560000\n1409678013\t28.560000\n1409678613\t28.620000\n1409679214\t28.620000\n1409679814\t28.620000\n1409680415\t28.620000\n1409681016\t28.690000\n1409681616\t28.750000\n1409682217\t28.690000\n1409682817\t28.690000\n1409683418\t28.690000\n1409684018\t28.690000\n1409684619\t28.690000\n1409685219\t28.690000\n1409685820\t28.690000\n1409686420\t28.690000\n1409687021\t28.690000\n1409687621\t28.690000\n1409688237\t28.690000\n1409688838\t28.690000\n1409689438\t28.690000\n1409690039\t28.690000\n1409690639\t28.690000\n1409691240\t28.690000\n1409691840\t28.690000\n1409692441\t28.690000\n1409693041\t28.690000\n1409693642\t28.690000\n1409694242\t28.690000\n1409694843\t28.750000\n1409695444\t28.690000\n1409696044\t28.690000\n1409696645\t28.750000\n1409697245\t28.810000\n1409697846\t28.810000\n1409698446\t28.810000\n1409699047\t28.810000\n1409699647\t28.810000\n1409700248\t28.750000\n1409700848\t28.750000\n1409701449\t28.810000\n1409702049\t28.810000\n1409702650\t28.810000\n1409703250\t28.750000\n1409703851\t28.750000\n1409704467\t28.750000\n1409705067\t28.750000\n1409705668\t28.810000\n1409706268\t28.810000\n1409706869\t28.810000\n1409707469\t28.810000\n1409708070\t28.810000\n1409708670\t28.810000\n1409709271\t28.750000\n1409709871\t28.750000\n1409710472\t28.750000\n1409711072\t28.750000\n1409711673\t28.750000\n1409712273\t28.750000\n1409712874\t28.750000\n1409713475\t28.810000\n1409714075\t28.750000\n1409714676\t28.810000\n1409715276\t28.810000\n1409715877\t28.810000\n1409716477\t28.810000\n1409717078\t28.810000\n1409717678\t28.750000\n1409718279\t28.810000\n1409718879\t28.810000\n1409719480\t28.810000\n1409720080\t28.810000\n1409720681\t28.880000\n1409721297\t28.810000\n1409721897\t28.810000\n1409722498\t28.810000\n1409723098\t28.750000\n1409723699\t28.810000\n1409724299\t28.750000\n1409724900\t28.810000\n1409725500\t28.810000\n1409726101\t28.810000\n1409726701\t28.880000\n1409727302\t28.880000\n1409727902\t28.880000\n1409728503\t28.880000\n1409729103\t28.880000\n1409729704\t28.880000\n1409730305\t28.880000\n1409730905\t28.880000\n1409731506\t28.880000\n1409732106\t28.810000\n1409732707\t28.810000\n1409733307\t28.810000\n1409733908\t28.810000\n1409734508\t28.810000\n1409735109\t28.750000\n1409735709\t28.750000\n1409736310\t28.810000\n1409736910\t28.810000\n1409737511\t28.880000\n1409738111\t28.880000\n1409738712\t28.940000\n1409739313\t28.880000\n1409739913\t28.810000\n1409740529\t28.880000\n1409741129\t28.940000\n1409741730\t28.880000\n1409742330\t28.880000\n1409742931\t28.880000\n1409743531\t28.880000\n1409744132\t28.940000\n1409744732\t28.940000\n1409745333\t29.000000\n1409745933\t29.000000\n1409746534\t29.000000\n1409747135\t29.000000\n1409747735\t28.940000\n1409748336\t29.000000\n1409748936\t29.000000\n1409749537\t29.060000\n1409750137\t29.060000\n1409750738\t29.000000\n1409751338\t29.060000\n1409751939\t29.060000\n1409752539\t29.060000\n1409753140\t29.060000\n1409753741\t29.060000\n1409754341\t29.060000\n1409754942\t29.000000\n1409755542\t29.060000\n1409756143\t29.000000\n1409756743\t29.000000\n1409757344\t29.000000\n1409757944\t29.000000\n1409758560\t29.000000\n1409759160\t29.000000\n1409759761\t29.000000\n1409760361\t28.940000\n1409760962\t29.000000\n1409761562\t29.000000\n1409762163\t29.060000\n1409762763\t29.060000\n1409763364\t29.060000\n1409763965\t29.060000\n1409764565\t29.060000\n1409765166\t29.060000\n1409765766\t29.060000\n1409766367\t29.060000\n1409766967\t29.120000\n1409767568\t29.120000\n1409768168\t29.190000\n1409768769\t29.120000\n1409769369\t29.120000\n1409769970\t29.120000\n1409770571\t29.120000\n1409771171\t29.120000\n1409771772\t29.060000\n1409772372\t29.060000\n1409772973\t29.120000\n1409773573\t29.120000\n1409774174\t29.120000\n1409774774\t29.120000\n1409775375\t29.120000\n1409775990\t29.120000\n1409776591\t29.120000\n1409777192\t29.060000\n1409777792\t29.120000\n1409778393\t29.060000\n1409778993\t29.060000\n1409779594\t29.120000\n1409780194\t29.120000\n1409780795\t29.120000\n1409781395\t29.120000\n1409781996\t29.120000\n1409782596\t29.120000\n1409783197\t29.120000\n1409783797\t29.190000\n1409784398\t29.190000\n1409784998\t29.190000\n1409785599\t29.190000\n1409786200\t29.190000\n1409786800\t29.120000\n1409787401\t29.120000\n1409788001\t29.120000\n1409788602\t29.120000\n1409789202\t29.120000\n1409789803\t29.190000\n1409790403\t29.120000\n1409791004\t29.190000\n1409791604\t29.190000\n1409792205\t29.190000\n1409792805\t29.190000\n1409793406\t29.120000\n1409794006\t29.120000\n1409794622\t29.060000\n1409795223\t29.060000\n1409795823\t29.060000\n1409796424\t29.060000\n1409797024\t29.000000\n1409797625\t29.000000\n1409798225\t28.940000\n1409798826\t28.940000\n1409799426\t28.940000\n1409800027\t28.940000\n1409800627\t28.940000\n1409801228\t28.940000\n1409801828\t28.880000\n1409802429\t28.880000\n1409803029\t28.880000\n1409803630\t28.880000\n1409804230\t28.880000\n1409804831\t28.880000\n1409805431\t28.880000\n1409806032\t28.880000\n1409806632\t28.880000\n1409807233\t28.810000\n1409807834\t28.810000\n1409808434\t28.810000\n1409809035\t28.810000\n1409809635\t28.810000\n1409810236\t28.810000\n1409810836\t28.810000\n1409811437\t28.880000\n1409812037\t28.880000\n1409812638\t28.940000\n1409813253\t28.940000\n1409813854\t28.880000\n1409814454\t28.940000\n1409815055\t28.880000\n1409815656\t28.940000\n1409816256\t28.880000\n1409816857\t28.880000\n1409817457\t28.190000\n1409818058\t26.000000\n1409818658\t27.060000\n1409819259\t27.690000\n1409819859\t28.000000\n1409820460\t28.190000\n1409821060\t28.310000\n1409821661\t28.380000\n1409822261\t28.440000\n1409822862\t28.500000\n1409823463\t28.500000\n1409824063\t28.560000\n1409824664\t28.620000\n1409825264\t28.620000\n1409825865\t28.690000\n1409826465\t28.690000\n1409827066\t28.690000\n1409827666\t28.750000\n1409828267\t28.750000\n1409828867\t28.810000\n1409829468\t28.880000\n1409830068\t28.880000\n1409830684\t28.880000\n1409831284\t28.880000\n1409831885\t28.880000\n1409832486\t28.880000\n1409833086\t28.880000\n1409833687\t28.940000\n1409834287\t28.940000\n1409834888\t28.940000\n1409835488\t29.000000\n1409836089\t28.940000\n1409836689\t28.940000\n1409837290\t28.940000\n1409837890\t29.000000\n1409838491\t29.000000\n1409839092\t29.000000\n1409839692\t29.060000\n1409840293\t29.060000\n1409840893\t29.120000\n1409841494\t29.120000\n1409842094\t29.120000\n1409842695\t28.940000\n1409843295\t28.380000\n1409843896\t28.750000\n1409844496\t28.880000\n1409845097\t29.000000\n1409845698\t29.000000\n1409846298\t29.060000\n1409846899\t29.120000\n1409847499\t29.120000\n1409848100\t29.120000\n1409848700\t29.120000\n1409849316\t29.120000\n1409849916\t29.120000\n1409850517\t29.120000\n1409851117\t29.120000\n1409851718\t29.120000\n1409852319\t29.190000\n1409852919\t29.190000\n1409853520\t29.190000\n1409854120\t29.250000\n1409854721\t29.250000\n1409855321\t29.310000\n1409855922\t29.250000\n1409856522\t29.310000\n1409857123\t29.250000\n1409857723\t29.250000\n1409858324\t29.250000\n1409858925\t29.250000\n1409859525\t29.250000\n1409860126\t29.250000\n1409860726\t29.310000\n1409861327\t29.310000\n1409861927\t29.310000\n1409862528\t29.310000\n1409863128\t29.310000\n1409863729\t29.250000\n1409864330\t29.250000\n1409864930\t29.250000\n1409865531\t29.250000\n1409866131\t29.310000\n1409866732\t29.310000\n1409867332\t29.310000\n1409867933\t29.250000\n1409868548\t29.250000\n1409869149\t29.310000\n1409869749\t29.310000\n1409870350\t29.250000\n1409870950\t29.250000\n1409871551\t29.250000\n1409872152\t29.250000\n1409872752\t29.250000\n1409873353\t29.250000\n1409873953\t29.250000\n1409874554\t29.250000\n1409875154\t29.250000\n1409875755\t29.250000\n1409876355\t29.250000\n1409876956\t29.250000\n1409877556\t29.250000\n1409878157\t29.310000\n1409878757\t29.250000\n1409879358\t29.250000\n1409879958\t29.250000\n1409880559\t29.250000\n1409881160\t29.250000\n1409881760\t29.250000\n1409882361\t29.250000\n1409882961\t29.250000\n1409883562\t29.190000\n1409884162\t29.250000\n1409884763\t29.250000\n1409885363\t29.250000\n1409885964\t29.250000\n1409886564\t29.250000\n1409887165\t29.250000\n1409887780\t29.190000\n1409888381\t29.190000\n1409888981\t29.120000\n1409889582\t29.120000\n1409890182\t29.120000\n1409890783\t29.120000\n1409891384\t29.060000\n1409891984\t29.120000\n1409892585\t29.120000\n1409893185\t29.120000\n1409893786\t29.060000\n1409894386\t29.120000\n1409894987\t29.120000\n1409895587\t29.060000\n1409896188\t29.120000\n1409896788\t29.120000\n1409897389\t29.120000\n1409897989\t29.120000\n1409898590\t29.190000\n1409899191\t29.120000\n1409899791\t29.120000\n1409900392\t29.120000\n1409900992\t29.120000\n1409901593\t29.120000\n1409902193\t29.120000\n1409902794\t29.120000\n1409903394\t29.190000\n1409903995\t29.190000\n1409904595\t29.190000\n1409905196\t29.190000\n1409905796\t29.120000\n1409906397\t29.190000\n1409906998\t29.190000\n1409907598\t29.250000\n1409908214\t29.190000\n1409908814\t29.250000\n1409909415\t29.250000\n1409910015\t29.250000\n1409910616\t29.190000\n1409911216\t29.190000\n1409911817\t29.190000\n1409912417\t29.190000\n1409913018\t29.190000\n1409913619\t29.250000\n1409914219\t29.250000\n1409914820\t29.250000\n1409915420\t29.250000\n1409916021\t29.310000\n1409916621\t29.250000\n1409917222\t29.310000\n1409917822\t29.310000\n1409918423\t29.380000\n1409919023\t29.310000\n1409919624\t29.380000\n1409920224\t29.310000\n1409920825\t29.380000\n1409921426\t29.310000\n1409922026\t29.310000\n1409922627\t29.310000\n1409923227\t29.380000\n1409923828\t29.310000\n1409924428\t29.310000\n1409925029\t29.380000\n1409925629\t29.380000\n1409926230\t29.380000\n1409926830\t29.380000\n1409927431\t29.440000\n1409928031\t29.440000\n1409928647\t29.440000\n1409929248\t29.440000\n1409929848\t29.250000\n1409930449\t27.690000\n1409931049\t26.690000\n1409931650\t26.250000\n1409932250\t26.060000\n1409932851\t26.440000\n1409933451\t27.380000\n1409934052\t27.940000\n1409934653\t28.250000\n1409935253\t28.440000\n1409935854\t28.560000\n1409936454\t28.690000\n1409937055\t28.750000\n1409937655\t28.880000\n1409938256\t28.880000\n1409938856\t28.940000\n1409939457\t28.940000\n1409940057\t29.000000\n1409940658\t29.000000\n1409941258\t29.000000\n1409941859\t29.000000\n1409942460\t29.060000\n1409943060\t29.060000\n1409943661\t29.120000\n1409944261\t29.120000\n1409944862\t29.120000\n1409945462\t29.120000\n1409946063\t29.120000\n1409946663\t29.120000\n1409947264\t29.120000\n1409947879\t29.120000\n1409948480\t29.120000\n1409949080\t29.120000\n1409949681\t29.120000\n1409950282\t29.120000\n1409950882\t29.120000\n1409951483\t29.120000\n1409952083\t29.120000\n1409952684\t29.190000\n1409953284\t29.120000\n1409953885\t29.190000\n1409954485\t29.190000\n1409955086\t29.190000\n1409955686\t29.190000\n1409956287\t29.190000\n1409956888\t29.190000\n1409957488\t29.190000\n1409958089\t29.120000\n1409958689\t29.120000\n1409959290\t29.060000\n1409959890\t29.060000\n1409960491\t29.060000\n1409961091\t29.120000\n1409961692\t29.060000\n1409962292\t29.060000\n1409962893\t29.120000\n1409963494\t29.060000\n1409964094\t29.060000\n1409964695\t29.060000\n1409965295\t29.060000\n1409965896\t29.060000\n1409966511\t29.060000\n1409967112\t29.060000\n1409967712\t29.060000\n1409968313\t29.060000\n1409968913\t29.060000\n1409969514\t29.000000\n1409970114\t29.000000\n1409970715\t29.000000\n1409971316\t29.000000\n1409971916\t29.060000\n1409972517\t29.000000\n1409973117\t29.000000\n1409973718\t29.000000\n1409974318\t29.000000\n1409974919\t29.000000\n1409975519\t29.000000\n1409976120\t28.940000\n1409976720\t28.880000\n1409977321\t28.940000\n1409977921\t28.940000\n1409978522\t28.880000\n1409979123\t28.940000\n1409979723\t28.880000\n1409980324\t28.940000\n1409980924\t28.940000\n1409981525\t28.940000\n1409982125\t28.940000\n1409982726\t28.940000\n1409983326\t28.940000\n1409983927\t28.880000\n1409984542\t28.880000\n1409985143\t28.880000\n1409985743\t28.880000\n1409986344\t28.880000\n1409986944\t28.940000\n1409987545\t28.880000\n1409988146\t28.940000\n1409988746\t28.940000\n1409989347\t28.750000\n1409989947\t25.620000\n1409990548\t24.190000\n1409991148\t23.560000\n1409991749\t25.060000\n1409992349\t26.250000\n1409992950\t26.880000\n1409993550\t27.310000\n1409994151\t27.560000\n1409994752\t27.750000\n1409995352\t27.880000\n1409995953\t28.000000\n1409996553\t28.120000\n1409997154\t28.190000\n1409997754\t28.250000\n1409998355\t28.310000\n1409998955\t28.380000\n1409999556\t28.440000\n1410000156\t28.500000\n1410000757\t28.560000\n1410001357\t28.500000\n1410001958\t28.560000\n1410002558\t28.560000\n1410003174\t28.620000\n1410003774\t28.560000\n1410004375\t28.620000\n1410004976\t28.620000\n1410005576\t28.620000\n1410006177\t28.690000\n1410006777\t28.690000\n1410007378\t28.690000\n1410007978\t28.690000\n1410008579\t28.750000\n1410009179\t28.690000\n1410009780\t28.690000\n1410010380\t28.750000\n1410010981\t28.750000\n1410011581\t28.810000\n1410012182\t28.810000\n1410012782\t28.810000\n1410013383\t28.810000\n1410013983\t28.810000\n1410014584\t28.880000\n1410015184\t28.810000\n1410015785\t28.880000\n1410016386\t28.880000\n1410016986\t28.880000\n1410017587\t28.880000\n1410018187\t28.880000\n1410018788\t28.940000\n1410019388\t28.940000\n1410020004\t28.940000\n1410020604\t28.940000\n1410021205\t28.940000\n1410021805\t29.000000\n1410022406\t29.000000\n1410023006\t29.000000\n1410023607\t29.000000\n1410024207\t29.060000\n1410024808\t29.060000\n1410025408\t29.060000\n1410026009\t29.060000\n1410026609\t29.060000\n1410027210\t29.060000\n1410027811\t29.060000\n1410028411\t29.060000\n1410029012\t29.060000\n1410029612\t29.060000\n1410030213\t29.060000\n1410030813\t29.060000\n1410031414\t29.060000\n1410032014\t29.060000\n1410032615\t29.120000\n1410033215\t29.060000\n1410033816\t29.060000\n1410034416\t29.060000\n1410035017\t29.060000\n1410035617\t29.060000\n1410036218\t29.060000\n1410036819\t29.060000\n1410037434\t29.060000\n1410038035\t29.060000\n1410038635\t29.120000\n1410039236\t29.120000\n1410039836\t29.120000\n1410040437\t29.120000\n1410041037\t29.120000\n1410041638\t29.060000\n1410042238\t29.120000\n1410042839\t29.120000\n1410043440\t29.120000\n1410044040\t29.120000\n1410044641\t29.190000\n1410045241\t29.120000\n1410045842\t29.120000\n1410046442\t29.120000\n1410047043\t29.120000\n1410047643\t29.120000\n1410048244\t29.120000\n1410048844\t29.120000\n1410049445\t29.120000\n1410050046\t29.120000\n1410050646\t29.120000\n1410051247\t29.120000\n1410051847\t29.120000\n1410052448\t29.060000\n1410053048\t29.000000\n1410053649\t29.000000\n1410054249\t29.000000\n1410054850\t29.000000\n1410055450\t29.000000\n1410056051\t29.000000\n1410056666\t29.000000\n1410057267\t28.940000\n1410057868\t28.940000\n1410058468\t28.940000\n1410059069\t28.940000\n1410059669\t29.000000\n1410060270\t29.000000\n1410060870\t29.000000\n1410061471\t29.000000\n1410062071\t29.000000\n1410062672\t29.000000\n1410063272\t29.060000\n1410063873\t29.000000\n1410064473\t29.000000\n1410065074\t29.000000\n1410065675\t29.000000\n1410066275\t29.000000\n1410066876\t29.000000\n1410067476\t29.060000\n1410068077\t29.060000\n1410068677\t29.060000\n1410069278\t29.120000\n1410069878\t29.120000\n1410070479\t29.120000\n1410071079\t29.120000\n1410071680\t29.060000\n1410072280\t29.060000\n1410072881\t29.060000\n1410073482\t29.060000\n1410074082\t29.060000\n1410074683\t29.120000\n1410075298\t29.060000\n1410075899\t29.060000\n1410076499\t29.000000\n1410077100\t29.000000\n1410077701\t29.000000\n1410078301\t29.000000\n1410078902\t29.000000\n1410079502\t29.000000\n1410080103\t28.940000\n1410080703\t28.940000\n1410081304\t29.000000\n1410081904\t28.940000\n1410082505\t28.940000\n1410083105\t28.880000\n1410083706\t28.880000\n1410084306\t28.880000\n1410084907\t28.940000\n1410085507\t28.940000\n1410086108\t28.940000\n1410086709\t28.940000\n1410087309\t29.000000\n1410087910\t29.000000\n1410088510\t29.060000\n1410089111\t29.060000\n1410089711\t29.120000\n1410090312\t29.120000\n1410090912\t29.120000\n1410091513\t29.190000\n1410092113\t29.190000\n1410092714\t29.190000\n1410093314\t29.190000\n1410093915\t29.250000\n1410094531\t29.190000\n1410095131\t29.190000\n1410095732\t29.250000\n1410096332\t29.190000\n1410096933\t29.190000\n1410097533\t29.190000\n1410098134\t29.190000\n1410098734\t29.190000\n1410099335\t29.190000\n1410099935\t29.190000\n1410100536\t29.250000\n1410101136\t29.250000\n1410101737\t29.250000\n1410102338\t29.250000\n1410102938\t29.250000\n1410103539\t29.310000\n1410104139\t29.250000\n1410104740\t29.250000\n1410105340\t29.310000\n1410105941\t29.310000\n1410106541\t29.250000\n1410107142\t29.250000\n1410107742\t29.250000\n1410108343\t29.310000\n1410108944\t29.310000\n1410109544\t29.310000\n1410110145\t29.060000\n1410110745\t29.190000\n1410111346\t29.250000\n1410111946\t29.310000\n1410112547\t29.250000\n1410113162\t29.250000\n1410113763\t29.190000\n1410114363\t29.190000\n1410114964\t29.190000\n1410115565\t29.190000\n1410116165\t29.190000\n1410116766\t29.190000\n1410117366\t29.190000\n1410117967\t29.190000\n1410118567\t29.190000\n1410119168\t29.120000\n1410119768\t29.190000\n1410120369\t29.190000\n1410120969\t29.190000\n1410121570\t29.190000\n1410122170\t29.190000\n1410122771\t29.120000\n1410123371\t29.190000\n1410123972\t29.120000\n1410124573\t29.120000\n1410125173\t29.120000\n1410125774\t29.120000\n1410126374\t29.190000\n1410126975\t29.120000\n1410127575\t29.120000\n1410128176\t29.190000\n1410128776\t29.120000\n1410129377\t29.120000\n1410129977\t29.120000\n1410130593\t29.060000\n1410131193\t29.120000\n1410131794\t29.120000\n1410132394\t29.060000\n1410132995\t29.060000\n1410133595\t29.060000\n1410134196\t29.060000\n1410134796\t29.060000\n1410135397\t29.060000\n1410135997\t29.060000\n1410136598\t29.060000\n1410137198\t29.060000\n1410137799\t29.060000\n1410138399\t29.060000\n1410139000\t29.060000\n1410139601\t29.000000\n1410140201\t29.000000\n1410140802\t29.000000\n1410141402\t29.000000\n1410142003\t29.000000\n1410142603\t29.000000\n1410143204\t28.940000\n1410143804\t28.940000\n1410144405\t28.940000\n1410145006\t28.940000\n1410145606\t28.940000\n1410146207\t28.940000\n1410146807\t28.940000\n1410147408\t28.940000\n1410148008\t28.940000\n1410148624\t28.940000\n1410149224\t28.940000\n1410149825\t28.940000\n1410150425\t28.940000\n1410151026\t28.940000\n1410151626\t28.940000\n1410152227\t28.940000\n1410152828\t28.940000\n1410153428\t28.940000\n1410154029\t28.940000\n1410154629\t28.940000\n1410155230\t28.940000\n1410155830\t28.940000\n1410156431\t28.940000\n1410157031\t28.940000\n1410157632\t28.940000\n1410158232\t28.940000\n1410158833\t28.940000\n1410159433\t28.940000\n1410160034\t28.940000\n1410160634\t28.940000\n1410161235\t28.940000\n1410161836\t28.940000\n1410162436\t28.880000\n1410163037\t28.940000\n1410163637\t29.000000\n1410164238\t28.940000\n1410164838\t29.000000\n1410165454\t29.000000\n1410166054\t29.000000\n1410166655\t29.000000\n1410167256\t29.000000\n1410167856\t29.000000\n1410168457\t29.060000\n1410169057\t29.120000\n1410169658\t29.060000\n1410170258\t29.120000\n1410170859\t29.060000\n1410171459\t29.120000\n1410172060\t29.120000\n1410172660\t28.120000\n1410173261\t26.750000\n1410173861\t26.060000\n1410174462\t25.620000\n1410175062\t25.310000\n1410175663\t24.940000\n1410176264\t24.750000\n1410176864\t24.560000\n1410177465\t24.440000\n1410178065\t24.380000\n1410178666\t24.250000\n1410179266\t25.120000\n1410179867\t26.060000\n1410180467\t26.620000\n1410181068\t27.060000\n1410181668\t27.380000\n1410182269\t27.560000\n1410182885\t27.690000\n1410183485\t27.810000\n1410184086\t27.940000\n1410184686\t28.000000\n1410185287\t28.000000\n1410185887\t28.120000\n1410186488\t28.190000\n1410187088\t28.250000\n1410187689\t28.250000\n1410188289\t28.310000\n1410188890\t28.380000\n1410189490\t27.690000\n1410190091\t27.880000\n1410190691\t28.120000\n1410191292\t28.250000\n1410191892\t28.380000\n1410192493\t28.380000\n1410193093\t28.440000\n1410193694\t28.440000\n1410194295\t28.500000\n1410194895\t28.500000\n1410195496\t28.560000\n1410196096\t28.560000\n1410196697\t28.620000\n1410197297\t28.620000\n1410197898\t28.620000\n1410198498\t28.620000\n1410199099\t28.690000\n1410199699\t28.690000\n1410200315\t28.690000\n1410200916\t28.690000\n1410201516\t28.690000\n1410202117\t28.690000\n1410202717\t28.750000\n1410203318\t28.690000\n1410203918\t28.750000\n1410204519\t28.750000\n1410205119\t28.750000\n1410205720\t28.750000\n1410206320\t28.750000\n1410206921\t28.750000\n1410207522\t28.750000\n1410208122\t28.750000\n1410208723\t28.750000\n1410209323\t28.750000\n1410209924\t28.750000\n1410210524\t28.750000\n1410211125\t28.750000\n1410211725\t28.750000\n1410212326\t28.750000\n1410212926\t28.750000\n1410213527\t28.750000\n1410214127\t28.750000\n1410214728\t28.810000\n1410215328\t28.750000\n1410215929\t28.810000\n1410216530\t28.810000\n1410217130\t28.810000\n1410217746\t28.810000\n1410218346\t28.810000\n1410218947\t28.810000\n1410219547\t28.810000\n1410220148\t28.880000\n1410220748\t28.880000\n1410221349\t28.880000\n1410221949\t28.880000\n1410222550\t28.880000\n1410223151\t28.880000\n1410223751\t28.940000\n1410224352\t28.880000\n1410224952\t28.880000\n1410225553\t28.880000\n1410226153\t28.880000\n1410226754\t28.880000\n1410227354\t28.880000\n1410227955\t28.940000\n1410228555\t28.940000\n1410229156\t28.940000\n1410229757\t28.940000\n1410230357\t28.940000\n1410230958\t28.940000\n1410231558\t28.940000\n1410232159\t28.940000\n1410232759\t28.940000\n1410233360\t28.940000\n1410233960\t28.940000\n1410234561\t28.940000\n1410235161\t28.940000\n1410235762\t28.940000\n1410236377\t28.940000\n1410236978\t28.880000\n1410237579\t28.880000\n1410238179\t28.880000\n1410238780\t28.880000\n1410239380\t28.810000\n1410239981\t28.810000\n1410240581\t28.880000\n1410241182\t28.810000\n1410241782\t28.880000\n1410242383\t28.880000\n1410242983\t28.880000\n1410243584\t28.940000\n1410244185\t28.880000\n1410244785\t28.880000\n1410245386\t28.940000\n1410245986\t28.940000\n1410246587\t28.940000\n1410247187\t28.940000\n1410247788\t28.940000\n1410248388\t28.880000\n1410248989\t28.880000\n1410249589\t28.880000\n1410250190\t28.880000\n1410250791\t28.880000\n1410251391\t28.810000\n1410251992\t28.810000\n1410252592\t28.880000\n1410253193\t28.880000\n1410253793\t28.880000\n1410254394\t28.880000\n1410255009\t28.880000\n1410255610\t28.880000\n1410256210\t28.880000\n1410256811\t28.880000\n1410257411\t28.880000\n1410258012\t28.880000\n1410258612\t28.880000\n1410259213\t28.880000\n1410259814\t28.880000\n1410260414\t28.880000\n1410261015\t28.940000\n1410261615\t28.940000\n1410262216\t28.940000\n1410262816\t28.880000\n1410263417\t28.880000\n1410264017\t28.810000\n1410264618\t28.810000\n1410265218\t28.750000\n1410265819\t28.810000\n1410266419\t28.810000\n1410267020\t28.880000\n1410267621\t28.880000\n1410268221\t28.880000\n1410268822\t28.880000\n1410269422\t28.880000\n1410270023\t28.620000\n1410270623\t25.880000\n1410271224\t24.620000\n1410271824\t23.880000\n1410272425\t23.250000\n1410273025\t24.940000\n1410273626\t26.060000\n1410274241\t26.690000\n1410274842\t27.120000\n1410275443\t27.380000\n1410276043\t27.560000\n1410276644\t27.690000\n1410277244\t27.810000\n1410277845\t27.940000\n1410278445\t28.000000\n1410279046\t28.000000\n1410279646\t28.060000\n1410280247\t28.120000\n1410280847\t28.120000\n1410281448\t28.190000\n1410282048\t28.250000\n1410282649\t28.250000\n1410283249\t28.310000\n1410283850\t28.310000\n1410284451\t28.310000\n1410285051\t28.380000\n1410285652\t28.380000\n1410286252\t28.380000\n1410286853\t28.380000\n1410287453\t28.380000\n1410288054\t28.380000\n1410288654\t28.380000\n1410289255\t28.380000\n1410289855\t28.440000\n1410290456\t28.440000\n1410291057\t28.440000\n1410291657\t28.440000\n1410292258\t28.440000\n1410292858\t28.500000\n1410293459\t28.440000\n1410294059\t28.440000\n1410294660\t28.500000\n1410295260\t28.440000\n1410295876\t28.440000\n1410296476\t28.440000\n1410297077\t28.440000\n1410297677\t28.440000\n1410298278\t28.440000\n1410298878\t28.440000\n1410299479\t28.440000\n1410300079\t28.440000\n1410300680\t28.440000\n1410301281\t28.500000\n1410301881\t28.500000\n1410302482\t28.500000\n1410303082\t28.500000\n1410303683\t28.500000\n1410304283\t28.500000\n1410304884\t28.500000\n1410305484\t28.440000\n1410306085\t28.440000\n1410306685\t28.440000\n1410307286\t28.440000\n1410307886\t28.440000\n1410308487\t28.440000\n1410309088\t28.440000\n1410309688\t28.440000\n1410310289\t28.500000\n1410310889\t28.500000\n1410311490\t28.440000\n1410312090\t28.380000\n1410312691\t28.310000\n1410313291\t28.310000\n1410313892\t28.310000\n1410314492\t28.310000\n1410315093\t28.250000\n1410315693\t28.250000\n1410316309\t28.190000\n1410316910\t28.190000\n1410317510\t28.190000\n1410318111\t28.120000\n1410318711\t28.120000\n1410319312\t28.120000\n1410319912\t28.120000\n1410320513\t28.190000\n1410321113\t28.120000\n1410321714\t28.120000\n1410322314\t28.060000\n1410322915\t28.120000\n1410323515\t28.060000\n1410324116\t28.060000\n1410324717\t28.060000\n1410325317\t28.000000\n1410325918\t28.000000\n1410326518\t28.000000\n1410327119\t28.000000\n1410327719\t28.000000\n1410328320\t28.060000\n1410328920\t28.060000\n1410329521\t28.060000\n1410330121\t28.120000\n1410330722\t28.120000\n1410331322\t28.060000\n1410331923\t28.060000\n1410332523\t28.060000\n1410333124\t28.120000\n1410333724\t28.120000\n1410334325\t28.120000\n1410334926\t28.120000\n1410335541\t28.120000\n1410336142\t28.060000\n1410336742\t28.000000\n1410337343\t28.000000\n1410337943\t28.000000\n1410338544\t28.000000\n1410339144\t28.000000\n1410339745\t28.000000\n1410340345\t28.000000\n1410340946\t28.000000\n1410341547\t27.940000\n1410342147\t27.940000\n1410342748\t27.940000\n1410343348\t27.940000\n1410343949\t27.940000\n1410344549\t27.940000\n1410345150\t27.940000\n1410345750\t28.000000\n1410346351\t27.940000\n1410346951\t27.940000\n1410347552\t27.940000\n1410348152\t28.000000\n1410348753\t28.000000\n1410349353\t28.000000\n1410349954\t28.000000\n1410350555\t28.060000\n1410351155\t28.060000\n1410351756\t28.060000\n1410352356\t28.060000\n1410352957\t28.060000\n1410353557\t28.060000\n1410354173\t28.060000\n1410354773\t28.060000\n1410355374\t28.060000\n1410355975\t28.120000\n1410356575\t28.120000\n1410357176\t28.190000\n1410357776\t28.120000\n1410358377\t28.120000\n1410358977\t28.190000\n1410359578\t28.190000\n1410360178\t27.620000\n1410360779\t27.810000\n1410361379\t28.000000\n1410361980\t28.060000\n1410362581\t28.120000\n1410363181\t28.190000\n1410363782\t28.190000\n1410364382\t28.190000\n1410364983\t28.190000\n1410365583\t28.250000\n1410366184\t28.250000\n1410366784\t28.310000\n1410367385\t28.310000\n1410367986\t28.310000\n1410368586\t28.310000\n1410369187\t28.380000\n1410369787\t28.380000\n1410370388\t28.380000\n1410370988\t28.380000\n1410371589\t28.440000\n1410372189\t28.440000\n1410372805\t28.440000\n1410373405\t28.380000\n1410374006\t28.380000\n1410374606\t28.380000\n1410375207\t28.380000\n1410375807\t28.380000\n1410376408\t28.440000\n1410377009\t28.380000\n1410377609\t28.440000\n1410378210\t28.380000\n1410378810\t28.440000\n1410379411\t28.440000\n1410380011\t28.440000\n1410380612\t28.440000\n1410381212\t28.440000\n1410381813\t28.440000\n1410382413\t28.440000\n1410383014\t28.500000\n1410383615\t28.440000\n1410384215\t28.440000\n1410384816\t28.440000\n1410385416\t28.440000\n1410386017\t28.380000\n1410386617\t28.440000\n1410387218\t28.440000\n1410387818\t28.440000\n1410388419\t28.440000\n1410389019\t28.500000\n1410389620\t28.440000\n1410390220\t28.440000\n1410390821\t28.440000\n1410391436\t28.440000\n1410392037\t28.440000\n1410392637\t28.440000\n1410393238\t28.440000\n1410393838\t28.380000\n1410394439\t28.440000\n1410395039\t28.380000\n1410395640\t28.380000\n1410396241\t28.380000\n1410396841\t28.380000\n1410397442\t28.380000\n1410398042\t28.380000\n1410398643\t28.380000\n1410399243\t28.310000\n1410399844\t28.310000\n1410400444\t28.310000\n1410401045\t28.310000\n1410401645\t28.250000\n1410402246\t28.250000\n1410402846\t28.250000\n1410403447\t28.250000\n1410404047\t28.190000\n1410404648\t28.190000\n1410405249\t28.190000\n1410405849\t28.190000\n1410406450\t28.190000\n1410407050\t28.190000\n1410407651\t28.190000\n1410408251\t28.190000\n1410408852\t28.190000\n1410409452\t28.120000\n1410410068\t28.190000\n1410410668\t28.190000\n1410411269\t28.120000\n1410411869\t28.120000\n1410412470\t28.120000\n1410413071\t28.120000\n1410413671\t28.120000\n1410414272\t28.120000\n1410414872\t28.060000\n1410415473\t28.060000\n1410416073\t28.060000\n1410416674\t28.120000\n1410417274\t28.120000\n1410417875\t28.120000\n1410418475\t28.120000\n1410419076\t28.120000\n1410419676\t28.120000\n1410420277\t28.060000\n1410420878\t28.120000\n1410421478\t28.060000\n1410422079\t28.060000\n1410422679\t28.060000\n1410423280\t28.060000\n1410423880\t28.060000\n1410424481\t28.120000\n1410425081\t28.190000\n1410425682\t28.190000\n1410426282\t28.190000\n1410426883\t28.250000\n1410427484\t28.190000\n1410428084\t28.250000\n1410428700\t28.250000\n1410429300\t28.250000\n1410429901\t28.310000\n1410430501\t28.310000\n1410431102\t28.310000\n1410431702\t28.310000\n1410432303\t28.380000\n1410432903\t28.310000\n1410433504\t28.380000\n1410434104\t28.380000\n1410434705\t28.310000\n1410435305\t28.310000\n1410435906\t28.380000\n1410436507\t28.380000\n1410437107\t27.190000\n1410437708\t27.060000\n1410438308\t27.620000\n1410438909\t27.880000\n1410439509\t28.000000\n1410440110\t28.060000\n1410440710\t28.120000\n1410441311\t28.190000\n1410441911\t26.810000\n1410442512\t25.560000\n1410443112\t25.000000\n1410443713\t24.690000\n1410444314\t24.500000\n1410444914\t24.380000\n1410445515\t24.250000\n1410446115\t24.190000\n1410446716\t24.120000\n1410447331\t24.060000\n1410447932\t24.000000\n1410448532\t24.000000\n1410449133\t23.940000\n1410449734\t25.060000\n1410450334\t25.880000\n1410450935\t26.310000\n1410451535\t26.620000\n1410452136\t26.880000\n1410452736\t27.000000\n1410453337\t27.120000\n1410453937\t27.190000\n1410454538\t27.250000\n1410455138\t27.380000\n1410455739\t27.380000\n1410456339\t27.440000\n1410456940\t27.500000\n1410457541\t27.500000\n1410458141\t27.500000\n1410458742\t27.560000\n1410459342\t27.620000\n1410459943\t27.620000\n1410460543\t27.620000\n1410461144\t27.690000\n1410461744\t27.690000\n1410462345\t27.750000\n1410462945\t27.750000\n1410463546\t27.750000\n1410464147\t27.810000\n1410464747\t27.750000\n1410465348\t27.750000\n1410465948\t27.810000\n1410466564\t27.810000\n1410467164\t27.810000\n1410467765\t27.880000\n1410468365\t27.810000\n1410468966\t27.810000\n1410469566\t27.810000\n1410470167\t27.880000\n1410470768\t27.810000\n1410471368\t27.880000\n1410471969\t27.880000\n1410472569\t27.880000\n1410473170\t27.940000\n1410473770\t27.940000\n1410474371\t27.940000\n1410474971\t27.940000\n1410475572\t27.940000\n1410476172\t27.940000\n1410476773\t27.940000\n1410477374\t27.940000\n1410477974\t27.940000\n1410478575\t27.940000\n1410479175\t27.940000\n1410479776\t27.940000\n1410480376\t27.940000\n1410480977\t27.940000\n1410481577\t27.940000\n1410482178\t27.940000\n1410482778\t27.940000\n1410483379\t27.940000\n1410483979\t27.940000\n1410484595\t27.940000\n1410485196\t27.940000\n1410485796\t27.940000\n1410486397\t27.940000\n1410486997\t27.940000\n1410487598\t27.940000\n1410488198\t27.940000\n1410488799\t27.940000\n1410489399\t27.880000\n1410490000\t27.880000\n1410490600\t27.940000\n1410491201\t27.880000\n1410491802\t27.880000\n1410492402\t27.880000\n1410493003\t27.880000\n1410493603\t27.880000\n1410494204\t27.880000\n1410494804\t27.880000\n1410495405\t27.880000\n1410496005\t27.810000\n1410496606\t27.880000\n1410497206\t27.880000\n1410497807\t27.880000\n1410498408\t27.880000\n1410499008\t27.880000\n1410499609\t27.880000\n1410500209\t27.810000\n1410500810\t27.810000\n1410501410\t27.880000\n1410502011\t27.880000\n1410502611\t27.880000\n1410503227\t27.880000\n1410503827\t27.880000\n1410504428\t27.940000\n1410505028\t27.880000\n1410505629\t27.880000\n1410506229\t27.880000\n1410506830\t27.880000\n1410507431\t27.880000\n1410508031\t27.880000\n1410508632\t27.880000\n1410509232\t27.880000\n1410509833\t27.880000\n1410510433\t27.880000\n1410511034\t27.880000\n1410511634\t27.880000\n1410512235\t27.940000\n1410512835\t27.940000\n1410513436\t27.940000\n1410514036\t26.380000\n1410514637\t25.310000\n1410515237\t24.750000\n1410515838\t25.500000\n1410516438\t26.310000\n1410517039\t26.750000\n1410517639\t27.060000\n1410518240\t27.250000\n1410518841\t27.380000\n1410519441\t27.440000\n1410520042\t27.500000\n1410520642\t27.560000\n1410521243\t27.620000\n1410521858\t27.690000\n1410522459\t27.690000\n1410523059\t27.750000\n1410523660\t27.750000\n1410524260\t27.810000\n1410524861\t27.750000\n1410525461\t27.810000\n1410526062\t27.810000\n1410526662\t27.880000\n1410527263\t27.880000\n1410527863\t27.880000\n1410528464\t27.880000\n1410529065\t27.880000\n1410529665\t27.880000\n1410530266\t27.880000\n1410530866\t27.880000\n1410531467\t27.940000\n1410532067\t27.940000\n1410532668\t27.940000\n1410533268\t27.940000\n1410533869\t28.000000\n1410534469\t27.940000\n1410535070\t27.940000\n1410535670\t27.940000\n1410536271\t28.000000\n1410536871\t28.000000\n1410537472\t28.000000\n1410538073\t28.000000\n1410538673\t28.000000\n1410539274\t28.000000\n1410539874\t28.000000\n1410540490\t28.000000\n1410541090\t28.000000\n1410541691\t28.000000\n1410542291\t28.000000\n1410542892\t28.000000\n1410543492\t28.000000\n1410544093\t28.060000\n1410544693\t28.060000\n1410545294\t28.000000\n1410545894\t28.000000\n1410546495\t28.060000\n1410547096\t28.000000\n1410547696\t28.060000\n1410548297\t28.060000\n1410548897\t28.060000\n1410549498\t28.060000\n1410550098\t28.120000\n1410550699\t28.120000\n1410551299\t28.120000\n1410551900\t28.120000\n1410552500\t28.120000\n1410553101\t28.120000\n1410553701\t28.120000\n1410554302\t28.120000\n1410554903\t28.120000\n1410555503\t28.190000\n1410556104\t28.190000\n1410556704\t28.190000\n1410557305\t28.190000\n1410557920\t28.190000\n1410558521\t28.190000\n1410559121\t28.190000\n1410559722\t28.190000\n1410560322\t28.190000\n1410560923\t28.250000\n1410561524\t28.250000\n1410562124\t28.250000\n1410562725\t28.310000\n1410563325\t28.250000\n1410563926\t28.250000\n1410564526\t28.250000\n1410565127\t28.250000\n1410565727\t28.310000\n1410566328\t28.310000\n1410566928\t28.310000\n1410567529\t28.310000\n1410568129\t28.310000\n1410568730\t28.310000\n1410569330\t28.310000\n1410569931\t28.380000\n1410570531\t28.310000\n1410571132\t28.310000\n1410571733\t28.310000\n1410572333\t28.250000\n1410572934\t28.250000\n1410573549\t28.190000\n1410574150\t28.190000\n1410574750\t28.190000\n1410575351\t28.120000\n1410575951\t28.120000\n1410576552\t28.120000\n1410577152\t28.120000\n1410577753\t28.120000\n1410578353\t28.120000\n1410578954\t28.190000\n1410579555\t28.190000\n1410580155\t28.190000\n1410580756\t28.190000\n1410581356\t28.190000\n1410581957\t28.190000\n1410582557\t28.190000\n1410583158\t28.190000\n1410583758\t28.250000\n1410584359\t28.190000\n1410584959\t28.190000\n1410585560\t28.190000\n1410586160\t28.120000\n1410586761\t28.120000\n1410587362\t28.120000\n1410587962\t28.120000\n1410588563\t28.120000\n1410589163\t28.190000\n1410589764\t28.190000\n1410590364\t28.190000\n1410590965\t28.190000\n1410591565\t28.190000\n1410592166\t28.190000\n1410592781\t28.190000\n1410593382\t28.120000\n1410593983\t28.120000\n1410594583\t28.120000\n1410595184\t28.190000\n1410595784\t28.190000\n1410596385\t28.120000\n1410596985\t28.120000\n1410597586\t28.060000\n1410598186\t28.060000\n1410598787\t28.120000\n1410599387\t28.060000\n1410599988\t28.060000\n1410600589\t28.060000\n1410601189\t28.060000\n1410601790\t28.060000\n1410602390\t28.060000\n1410602991\t28.000000\n1410603591\t28.060000\n1410604192\t28.060000\n1410604792\t28.060000\n1410605393\t28.060000\n1410605993\t28.060000\n1410606594\t28.060000\n1410607194\t28.120000\n1410607795\t28.120000\n1410608395\t28.190000\n1410608996\t28.190000\n1410609597\t28.190000\n1410610197\t28.120000\n1410610813\t28.120000\n1410611413\t28.060000\n1410612014\t28.060000\n1410612614\t28.120000\n1410613215\t28.060000\n1410613815\t28.120000\n1410614416\t28.120000\n1410615016\t28.120000\n1410615617\t28.190000\n1410616217\t28.190000\n1410616818\t28.250000\n1410617418\t28.250000\n1410618019\t28.250000\n1410618620\t28.250000\n1410619220\t28.250000\n1410619821\t28.250000\n1410620421\t28.310000\n1410621022\t28.310000\n1410621622\t28.250000\n1410622223\t28.310000\n1410622823\t28.310000\n1410623424\t28.310000\n1410624024\t28.310000\n1410624625\t28.310000\n1410625225\t28.380000\n1410625826\t28.380000\n1410626426\t28.380000\n1410627027\t28.310000\n1410627627\t28.310000\n1410628228\t28.310000\n1410628829\t28.310000\n1410629444\t28.310000\n1410630045\t28.310000\n1410630645\t28.310000\n1410631246\t28.380000\n1410631846\t28.310000\n1410632447\t28.310000\n1410633047\t28.310000\n1410633648\t28.380000\n1410634248\t28.310000\n1410634849\t28.380000\n1410635450\t28.380000\n1410636050\t28.380000\n1410636651\t28.380000\n1410637251\t28.310000\n1410637852\t28.310000\n1410638452\t28.310000\n1410639053\t28.310000\n1410639653\t28.310000\n1410640254\t28.310000\n1410640854\t28.310000\n1410641455\t28.310000\n1410642055\t28.310000\n1410642656\t28.310000\n1410643256\t28.310000\n1410643857\t28.310000\n1410644458\t28.310000\n1410645058\t28.310000\n1410645659\t28.310000\n1410646259\t28.250000\n1410646860\t28.310000\n1410647475\t28.310000\n1410648076\t28.310000\n1410648676\t28.250000\n1410649277\t28.310000\n1410649877\t28.250000\n1410650478\t28.250000\n1410651078\t28.250000\n1410651679\t28.190000\n1410652279\t28.190000\n1410652880\t28.190000\n1410653481\t28.190000\n1410654081\t28.250000\n1410654682\t28.190000\n1410655282\t28.190000\n1410655883\t28.190000\n1410656483\t28.190000\n1410657084\t28.190000\n1410657684\t28.190000\n1410658285\t28.120000\n1410658885\t28.120000\n1410659486\t28.120000\n1410660086\t28.120000\n1410660687\t28.120000\n1410661288\t28.060000\n1410661888\t28.060000\n1410662489\t28.000000\n1410663089\t28.060000\n1410663690\t28.060000\n1410664290\t28.000000\n1410664891\t28.060000\n1410665491\t28.000000\n1410666107\t28.000000\n1410666707\t28.000000\n1410667308\t28.000000\n1410667909\t28.000000\n1410668509\t28.000000\n1410669110\t28.000000\n1410669710\t28.000000\n1410670311\t28.000000\n1410670911\t27.940000\n1410671512\t27.940000\n1410672112\t27.940000\n1410672713\t27.940000\n1410673313\t27.940000\n1410673914\t27.940000\n1410674514\t27.940000\n1410675115\t27.940000\n1410675715\t27.940000\n1410676316\t27.940000\n1410676917\t27.940000\n1410677517\t27.940000\n1410678118\t27.940000\n1410678718\t27.940000\n1410679319\t27.940000\n1410679919\t27.940000\n1410680520\t27.940000\n1410681120\t27.940000\n1410681721\t27.940000\n1410682321\t27.940000\n1410682922\t27.940000\n1410683522\t27.940000\n1410684123\t27.940000\n1410684723\t28.000000\n1410685324\t28.000000\n1410685925\t28.000000\n1410686525\t28.000000\n1410687141\t28.060000\n1410687741\t28.000000\n1410688342\t28.000000\n1410688942\t28.000000\n1410689543\t28.000000\n1410690143\t28.000000\n1410690744\t28.000000\n1410691344\t27.940000\n1410691945\t27.880000\n1410692546\t27.880000\n1410693146\t27.880000\n1410693747\t27.940000\n1410694347\t27.940000\n1410694948\t27.940000\n1410695548\t27.940000\n1410696149\t27.880000\n1410696749\t27.880000\n1410697350\t27.940000\n1410697950\t27.940000\n1410698551\t27.880000\n1410699151\t27.880000\n1410699752\t27.880000\n1410700352\t27.940000\n1410700953\t27.940000\n1410701554\t27.940000\n1410702154\t28.000000\n1410702755\t27.940000\n1410703355\t28.000000\n1410703956\t28.000000\n1410704556\t28.000000\n1410705157\t28.060000\n1410705757\t28.000000\n1410706358\t28.000000\n1410706958\t28.060000\n1410707559\t28.000000\n1410708174\t28.000000\n1410708775\t28.000000\n1410709376\t28.000000\n1410709976\t28.000000\n1410710577\t28.000000\n1410711177\t28.000000\n1410711778\t28.060000\n1410712378\t25.560000\n1410712979\t24.310000\n1410713579\t23.560000\n1410714180\t24.690000\n1410714780\t26.000000\n1410715381\t26.750000\n1410715981\t27.190000\n1410716582\t27.440000\n1410717183\t27.690000\n1410717783\t27.880000\n1410718384\t27.940000\n1410718984\t28.060000\n1410719585\t28.120000\n1410720185\t28.190000\n1410720786\t28.250000\n1410721386\t28.250000\n1410721987\t28.310000\n1410722587\t28.380000\n1410723188\t28.380000\n1410723788\t28.440000\n1410724389\t28.440000\n1410724990\t28.440000\n1410725590\t28.500000\n1410726191\t28.500000\n1410726791\t28.500000\n1410727392\t28.560000\n1410728007\t28.560000\n1410728608\t28.560000\n1410729208\t28.560000\n1410729809\t28.560000\n1410730409\t28.560000\n1410731010\t28.560000\n1410731611\t28.560000\n1410732211\t28.620000\n1410732812\t28.620000\n1410733412\t28.620000\n1410734013\t28.620000\n1410734613\t28.620000\n1410735214\t28.620000\n1410735814\t28.560000\n1410736415\t28.560000\n1410737015\t28.560000\n1410737616\t28.560000\n1410738216\t28.560000\n1410738817\t28.560000\n1410739417\t28.560000\n1410740018\t28.560000\n1410740619\t28.560000\n1410741219\t28.560000\n1410741820\t28.560000\n1410742420\t28.560000\n1410743021\t28.560000\n1410743621\t28.560000\n1410744222\t28.560000\n1410744822\t28.560000\n1410745423\t28.560000\n1410746023\t28.500000\n1410746639\t28.500000\n1410747240\t28.500000\n1410747840\t28.500000\n1410748441\t28.500000\n1410749041\t28.500000\n1410749642\t28.500000\n1410750242\t28.500000\n1410750843\t28.440000\n1410751443\t28.440000\n1410752044\t28.440000\n1410752644\t28.440000\n1410753245\t28.440000\n1410753845\t28.380000\n1410754446\t28.380000\n1410755046\t28.380000\n1410755647\t28.380000\n1410756247\t28.380000\n1410756848\t28.380000\n1410757448\t28.380000\n1410758049\t28.380000\n1410758650\t28.380000\n1410759250\t28.380000\n1410759851\t28.310000\n1410760451\t28.310000\n1410761052\t28.310000\n1410761652\t27.060000\n1410762253\t22.940000\n1410762853\t21.190000\n1410763454\t20.250000\n1410764054\t19.690000\n1410764670\t21.940000\n1410765270\t23.380000\n1410765871\t24.310000\n1410766471\t24.880000\n1410767072\t25.190000\n1410767673\t25.500000\n1410768273\t25.690000\n1410768874\t25.880000\n1410769474\t26.000000\n1410770075\t26.060000\n1410770675\t26.190000\n1410771276\t26.250000\n1410771876\t26.380000\n1410772477\t26.500000\n1410773077\t26.560000\n1410773678\t26.560000\n1410774279\t26.620000\n1410774879\t26.690000\n1410775480\t26.690000\n1410776080\t26.690000\n1410776681\t26.690000\n1410777281\t26.690000\n1410777882\t26.750000\n1410778482\t26.750000\n1410779083\t26.810000\n1410779683\t26.810000\n1410780284\t26.810000\n1410780884\t26.750000\n1410781485\t26.810000\n1410782085\t26.810000\n1410782686\t26.810000\n1410783302\t26.810000\n1410783902\t26.880000\n1410784503\t26.880000\n1410785103\t26.940000\n1410785704\t27.000000\n1410786304\t27.000000\n1410786905\t27.000000\n1410787505\t27.060000\n1410788106\t27.060000\n1410788706\t27.120000\n1410789307\t27.120000\n1410789907\t27.120000\n1410790508\t27.190000\n1410791109\t26.000000\n1410791709\t24.500000\n1410792310\t24.880000\n1410792910\t25.690000\n1410793511\t26.120000\n1410794111\t26.440000\n1410794712\t26.620000\n1410795312\t26.750000\n1410795913\t26.810000\n1410796513\t26.880000\n1410797114\t26.940000\n1410797714\t27.000000\n1410798315\t27.000000\n1410798915\t27.000000\n1410799516\t27.000000\n1410800116\t27.060000\n1410800732\t27.060000\n1410801332\t27.060000\n1410801933\t27.060000\n1410802533\t27.060000\n1410803134\t27.060000\n1410803734\t27.120000\n1410804335\t27.120000\n1410804936\t27.120000\n1410805536\t27.190000\n1410806137\t27.120000\n1410806737\t27.120000\n1410807338\t27.120000\n1410807938\t27.120000\n1410808539\t27.120000\n1410809139\t27.190000\n1410809740\t27.190000\n1410810341\t27.190000\n1410810941\t27.190000\n1410811542\t27.190000\n1410812142\t27.120000\n1410812743\t27.120000\n1410813343\t27.120000\n1410813944\t27.120000\n1410814544\t27.120000\n1410815145\t27.120000\n1410815745\t27.120000\n1410816346\t27.120000\n1410816946\t27.190000\n1410817547\t27.190000\n1410818147\t27.190000\n1410818763\t27.190000\n1410819363\t27.190000\n1410819964\t27.250000\n1410820565\t27.250000\n1410821165\t27.250000\n1410821766\t27.190000\n1410822366\t27.190000\n1410822967\t27.190000\n1410823567\t27.190000\n1410824168\t27.190000\n1410824768\t27.190000\n1410825369\t27.190000\n1410825969\t27.250000\n1410826570\t27.190000\n1410827170\t27.190000\n1410827771\t27.190000\n1410828371\t27.190000\n1410828972\t27.190000\n1410829573\t27.190000\n1410830173\t27.120000\n1410830774\t27.120000\n1410831374\t27.060000\n1410831975\t27.060000\n1410832575\t27.000000\n1410833176\t27.000000\n1410833776\t27.000000\n1410834377\t27.000000\n1410834977\t26.940000\n1410835578\t26.940000\n1410836179\t26.940000\n1410836794\t26.940000\n1410837395\t26.940000\n1410837995\t26.940000\n1410838596\t26.880000\n1410839196\t26.880000\n1410839797\t26.880000\n1410840397\t26.880000\n1410840998\t26.880000\n1410841599\t26.940000\n1410842199\t26.940000\n1410842800\t26.940000\n1410843400\t26.880000\n1410844001\t26.880000\n1410844601\t26.880000\n1410845202\t26.880000\n1410845802\t26.880000\n1410846403\t26.880000\n1410847003\t26.880000\n1410847604\t26.880000\n1410848204\t26.880000\n1410848805\t26.810000\n1410849406\t26.880000\n1410850006\t26.880000\n1410850607\t26.880000\n1410851207\t26.940000\n1410851808\t26.940000\n1410852423\t26.940000\n1410853024\t26.940000\n1410853624\t26.940000\n1410854225\t26.940000\n1410854825\t26.940000\n1410855426\t26.940000\n1410856026\t26.940000\n1410856627\t27.000000\n1410857228\t27.000000\n1410857828\t27.000000\n1410858429\t27.060000\n1410859029\t27.000000\n1410859630\t27.060000\n1410860230\t27.060000\n1410860831\t27.060000\n1410861431\t27.060000\n1410862032\t27.060000\n1410862632\t27.000000\n1410863233\t27.060000\n1410863834\t27.060000\n1410864434\t27.120000\n1410865035\t27.120000\n1410865635\t27.120000\n1410866236\t27.120000\n1410866836\t27.120000\n1410867437\t27.120000\n1410868037\t27.120000\n1410868638\t27.190000\n1410869239\t27.190000\n1410869839\t27.120000\n1410870440\t27.120000\n1410871040\t27.120000\n1410871656\t27.120000\n1410872256\t27.190000\n1410872857\t27.190000\n1410873457\t27.190000\n1410874058\t27.190000\n1410874658\t27.250000\n1410875259\t27.250000\n1410875860\t27.250000\n1410876460\t27.310000\n1410877061\t27.310000\n1410877661\t27.310000\n1410878262\t27.310000\n1410878862\t27.310000\n1410879463\t27.310000\n1410880063\t27.310000\n1410880664\t27.310000\n1410881264\t27.310000\n1410881865\t27.310000\n1410882465\t27.310000\n1410883066\t27.380000\n1410883666\t27.380000\n1410884267\t27.380000\n1410884868\t27.380000\n1410885468\t27.380000\n1410886069\t27.380000\n1410886669\t27.380000\n1410887270\t27.380000\n1410887870\t27.380000\n1410888486\t27.310000\n1410889086\t27.380000\n1410889687\t27.380000\n1410890287\t27.380000\n1410890888\t27.380000\n1410891488\t27.440000\n1410892089\t27.380000\n1410892689\t27.380000\n1410893290\t27.310000\n1410893891\t27.310000\n1410894491\t27.380000\n1410895092\t27.380000\n1410895692\t27.380000\n1410896293\t27.380000\n1410896893\t27.380000\n1410897494\t27.380000\n1410898094\t27.440000\n1410898695\t27.380000\n1410899295\t27.380000\n1410899896\t27.380000\n1410900496\t27.310000\n1410901097\t27.310000\n1410901698\t27.310000\n1410902298\t27.310000\n1410902899\t27.310000\n1410903499\t27.310000\n1410904100\t27.310000\n1410904700\t27.310000\n1410905301\t27.310000\n1410905916\t27.310000\n1410906517\t27.380000\n1410907117\t27.380000\n1410907718\t27.310000\n1410908318\t27.310000\n1410908919\t27.380000\n1410909520\t27.310000\n1410910120\t27.310000\n1410910721\t27.310000\n1410911321\t27.310000\n1410911922\t27.310000\n1410912522\t27.310000\n1410913123\t27.250000\n1410913723\t27.250000\n1410914324\t27.250000\n1410914924\t27.250000\n1410915525\t27.250000\n1410916125\t27.190000\n1410916726\t27.190000\n1410917327\t27.190000\n1410917927\t27.120000\n1410918528\t27.120000\n1410919128\t27.120000\n1410919729\t27.120000\n1410920329\t27.120000\n1410920930\t27.120000\n1410921530\t27.060000\n1410922131\t27.060000\n1410922731\t27.000000\n1410923332\t27.000000\n1410923947\t27.000000\n1410924548\t27.000000\n1410925148\t27.000000\n1410925749\t27.000000\n1410926349\t26.940000\n1410926950\t26.940000\n1410927550\t26.940000\n1410928151\t26.940000\n1410928752\t26.940000\n1410929352\t26.940000\n1410929953\t26.940000\n1410930553\t26.940000\n1410931154\t26.940000\n1410931754\t26.940000\n1410932355\t26.940000\n1410932955\t26.880000\n1410933556\t26.880000\n1410934156\t26.880000\n1410934757\t26.880000\n1410935358\t26.810000\n1410935958\t26.880000\n1410936559\t26.880000\n1410937159\t26.880000\n1410937760\t26.880000\n1410938360\t26.880000\n1410938961\t26.880000\n1410939561\t26.880000\n1410940162\t26.880000\n1410940762\t26.880000\n1410941378\t26.940000\n1410941978\t26.880000\n1410942579\t26.880000\n1410943180\t26.880000\n1410943780\t26.880000\n1410944381\t26.940000\n1410944981\t26.940000\n1410945582\t26.940000\n1410946182\t27.000000\n1410946783\t27.000000\n1410947383\t27.000000\n1410947984\t26.690000\n1410948584\t26.750000\n1410949185\t26.810000\n1410949786\t26.880000\n1410950386\t26.880000\n1410950987\t26.940000\n1410951587\t27.000000\n1410952188\t27.000000\n1410952788\t26.940000\n1410953389\t27.000000\n1410953989\t27.000000\n1410954590\t27.000000\n1410955190\t27.060000\n1410955791\t27.060000\n1410956391\t27.060000\n1410956992\t27.060000\n1410957592\t27.060000\n1410958193\t27.060000\n1410958794\t27.060000\n1410959394\t27.060000\n1410959995\t27.060000\n1410960610\t27.060000\n1410961211\t27.060000\n1410961811\t26.000000\n1410962412\t24.380000\n1410963012\t23.620000\n1410963613\t23.190000\n1410964213\t22.880000\n1410964814\t22.690000\n1410965414\t23.810000\n1410966015\t24.750000\n1410966616\t25.250000\n1410967216\t25.620000\n1410967817\t25.810000\n1410968417\t26.000000\n1410969018\t26.190000\n1410969618\t26.250000\n1410970219\t26.380000\n1410970819\t26.380000\n1410971420\t26.440000\n1410972020\t26.500000\n1410972621\t26.560000\n1410973222\t26.560000\n1410973822\t26.620000\n1410974423\t26.620000\n1410975023\t26.620000\n1410975624\t26.620000\n1410976224\t26.690000\n1410976825\t26.690000\n1410977425\t26.690000\n1410978026\t26.690000\n1410978626\t26.750000\n1410979242\t26.690000\n1410979842\t26.750000\n1410980443\t26.750000\n1410981044\t26.810000\n1410981644\t26.750000\n1410982245\t26.810000\n1410982845\t26.810000\n1410983446\t26.750000\n1410984046\t26.810000\n1410984647\t26.880000\n1410985247\t26.880000\n1410985848\t26.810000\n1410986448\t26.810000\n1410987049\t26.810000\n1410987649\t26.810000\n1410988250\t26.810000\n1410988850\t26.810000\n1410989451\t26.880000\n1410990051\t26.810000\n1410990652\t26.880000\n1410991252\t26.880000\n1410991853\t26.880000\n1410992453\t26.880000\n1410993054\t26.940000\n1410993655\t26.940000\n1410994255\t26.940000\n1410994856\t26.940000\n1410995456\t26.940000\n1410996057\t26.940000\n1410996657\t26.940000\n1410997273\t26.940000\n1410997873\t26.940000\n1410998474\t26.940000\n1410999074\t26.940000\n1410999675\t26.940000\n1411000276\t26.880000\n1411000876\t26.940000\n1411001477\t26.940000\n1411002077\t26.940000\n1411002678\t26.940000\n1411003278\t26.940000\n1411003879\t26.940000\n1411004479\t26.940000\n1411005080\t26.940000\n1411005680\t26.880000\n1411006281\t26.940000\n1411006882\t26.880000\n1411007482\t26.880000\n1411008083\t26.880000\n1411008683\t26.880000\n1411009284\t26.880000\n1411009884\t26.880000\n1411010485\t26.880000\n1411011085\t26.810000\n1411011686\t26.880000\n1411012287\t26.880000\n1411012887\t26.880000\n1411013488\t26.880000\n1411014088\t26.880000\n1411014689\t26.880000\n1411015289\t26.880000\n1411015905\t26.880000\n1411016505\t26.940000\n1411017106\t26.880000\n1411017706\t26.880000\n1411018307\t26.880000\n1411018907\t26.880000\n1411019508\t26.810000\n1411020109\t26.880000\n1411020709\t26.810000\n1411021310\t26.810000\n1411021910\t26.810000\n1411022511\t26.810000\n1411023111\t26.810000\n1411023712\t26.810000\n1411024312\t26.810000\n1411024913\t26.880000\n1411025513\t26.810000\n1411026114\t26.750000\n1411026714\t26.810000\n1411027315\t26.750000\n1411027915\t26.810000\n1411028516\t26.750000\n1411029116\t26.810000\n1411029717\t26.810000\n1411030317\t26.810000\n1411030918\t26.810000\n1411031518\t26.810000\n1411032119\t26.810000\n1411032720\t26.810000\n1411033320\t26.810000\n1411033921\t26.810000\n1411034536\t26.810000\n1411035137\t26.810000\n1411035737\t26.880000\n1411036338\t26.880000\n1411036938\t26.880000\n1411037539\t26.940000\n1411038139\t26.880000\n1411038740\t26.940000\n1411039340\t26.940000\n1411039941\t26.940000\n1411040541\t26.940000\n1411041142\t26.940000\n1411041743\t26.940000\n1411042343\t26.940000\n1411042944\t26.940000\n1411043544\t26.810000\n1411044145\t24.310000\n1411044745\t24.750000\n1411045346\t25.560000\n1411045947\t26.000000\n1411046547\t26.250000\n1411047148\t26.190000\n1411047748\t24.250000\n1411048349\t23.440000\n1411048949\t22.880000\n1411049550\t22.690000\n1411050150\t22.500000\n1411050751\t22.310000\n1411051351\t22.190000\n1411051952\t22.060000\n1411052552\t22.000000\n1411053168\t21.940000\n1411053768\t22.120000\n1411054369\t23.380000\n1411054969\t24.120000\n1411055570\t24.620000\n1411056170\t24.940000\n1411056771\t25.120000\n1411057371\t25.380000\n1411057972\t25.500000\n1411058573\t25.620000\n1411059173\t25.690000\n1411059774\t25.750000\n1411060374\t25.810000\n1411060975\t25.880000\n1411061575\t25.940000\n1411062176\t26.000000\n1411062776\t26.000000\n1411063377\t26.060000\n1411063977\t26.060000\n1411064578\t26.120000\n1411065178\t26.120000\n1411065779\t26.190000\n1411066380\t26.190000\n1411066980\t26.190000\n1411067581\t26.250000\n1411068181\t26.250000\n1411068782\t26.250000\n1411069382\t26.250000\n1411069983\t26.250000\n1411070583\t26.250000\n1411071184\t26.250000\n1411071784\t26.250000\n1411072385\t26.310000\n1411072985\t26.310000\n1411073586\t26.310000\n1411074202\t26.310000\n1411074802\t26.310000\n1411075403\t26.380000\n1411076003\t26.310000\n1411076604\t26.310000\n1411077204\t26.380000\n1411077805\t26.380000\n1411078405\t26.380000\n1411079006\t26.380000\n1411079606\t26.440000\n1411080207\t26.440000\n1411080807\t26.380000\n1411081408\t26.440000\n1411082009\t26.440000\n1411082609\t26.440000\n1411083210\t26.380000\n1411083810\t26.380000\n1411084411\t26.380000\n1411085011\t26.380000\n1411085612\t26.380000\n1411086212\t26.380000\n1411086813\t26.380000\n1411087413\t26.380000\n1411088014\t26.380000\n1411088614\t26.310000\n1411089215\t26.380000\n1411089815\t26.310000\n1411090416\t26.310000\n1411091016\t26.310000\n1411091617\t26.310000\n1411092218\t26.310000\n1411092818\t26.310000\n1411093419\t26.310000\n1411094019\t26.310000\n1411094635\t26.250000\n1411095235\t26.310000\n1411095836\t26.310000\n1411096436\t26.310000\n1411097037\t26.310000\n1411097637\t26.310000\n1411098238\t26.310000\n1411098838\t26.310000\n1411099439\t26.310000\n1411100039\t26.310000\n1411100640\t26.310000\n1411101241\t26.310000\n1411101841\t26.250000\n1411102442\t26.310000\n1411103042\t26.310000\n1411103643\t26.310000\n1411104243\t26.310000\n1411104844\t26.310000\n1411105444\t26.310000\n1411106045\t26.310000\n1411106645\t26.380000\n1411107246\t26.380000\n1411107847\t26.380000\n1411108447\t26.380000\n1411109048\t26.380000\n1411109648\t26.380000\n1411110249\t26.380000\n1411110849\t26.380000\n1411111450\t26.380000\n1411112050\t26.380000\n1411112651\t26.380000\n1411113251\t26.380000\n1411113852\t26.380000\n1411114468\t26.310000\n1411115068\t26.310000\n1411115669\t26.380000\n1411116269\t26.310000\n1411116870\t26.310000\n1411117470\t26.310000\n1411118071\t26.380000\n1411118671\t26.310000\n1411119272\t26.380000\n1411119872\t26.380000\n1411120473\t26.380000\n1411121074\t26.380000\n1411121674\t26.380000\n1411122275\t26.380000\n1411122875\t26.440000\n1411123476\t26.500000\n1411124076\t26.440000\n1411124677\t26.500000\n1411125277\t26.500000\n1411125878\t26.560000\n1411126478\t26.500000\n1411127079\t26.500000\n1411127680\t26.560000\n1411128280\t26.560000\n1411128881\t26.560000\n1411129481\t26.560000\n1411130082\t26.560000\n1411130682\t26.620000\n1411131283\t26.620000\n1411131883\t26.620000\n1411132484\t26.620000\n1411133084\t26.620000\n1411133700\t26.690000\n1411134300\t26.620000\n1411134901\t25.190000\n1411135501\t23.940000\n1411136102\t23.380000\n1411136703\t23.000000\n1411137303\t22.750000\n1411137904\t22.620000\n1411138504\t23.000000\n1411139105\t24.060000\n1411139705\t24.690000\n1411140306\t25.060000\n1411140906\t25.380000\n1411141507\t25.620000\n1411142107\t25.690000\n1411142708\t25.810000\n1411143308\t25.940000\n1411143909\t26.000000\n1411144510\t26.060000\n1411145110\t26.120000\n1411145711\t26.120000\n1411146311\t26.190000\n1411146912\t26.190000\n1411147512\t26.190000\n1411148113\t26.250000\n1411148713\t26.250000\n1411149314\t26.310000\n1411149914\t26.310000\n1411150515\t26.310000\n1411151116\t26.310000\n1411151716\t26.310000\n1411152332\t26.310000\n1411152932\t26.310000\n1411153533\t26.310000\n1411154133\t26.380000\n1411154734\t26.380000\n1411155334\t26.310000\n1411155935\t26.380000\n1411156535\t26.380000\n1411157136\t26.380000\n1411157736\t26.380000\n1411158337\t26.380000\n1411158938\t26.380000\n1411159538\t26.440000\n1411160139\t26.440000\n1411160739\t26.440000\n1411161340\t26.380000\n1411161940\t26.440000\n1411162541\t26.440000\n1411163141\t26.440000\n1411163742\t26.380000\n1411164342\t26.380000\n1411164943\t26.440000\n1411165544\t26.440000\n1411166144\t26.440000\n1411166745\t26.440000\n1411167345\t26.440000\n1411167946\t26.440000\n1411168546\t26.380000\n1411169147\t26.440000\n1411169747\t26.380000\n1411170348\t26.440000\n1411170948\t26.440000\n1411171564\t26.440000\n1411172164\t26.440000\n1411172765\t26.380000\n1411173365\t26.380000\n1411173966\t26.440000\n1411174566\t26.440000\n1411175167\t26.440000\n1411175768\t26.310000\n1411176368\t26.310000\n1411176969\t26.310000\n1411177569\t26.250000\n1411178170\t26.250000\n1411178770\t26.190000\n1411179371\t26.190000\n1411179971\t26.190000\n1411180572\t26.120000\n1411181172\t26.190000\n1411181773\t26.190000\n1411182373\t26.190000\n1411182974\t26.190000\n1411183574\t26.190000\n1411184175\t26.190000\n1411184776\t26.190000\n1411185376\t26.250000\n1411185977\t26.190000\n1411186577\t26.250000\n1411187178\t26.250000\n1411187778\t26.250000\n1411188379\t26.250000\n1411188979\t26.250000\n1411189595\t26.190000\n1411190196\t26.120000\n1411190796\t26.190000\n1411191397\t26.190000\n1411191997\t26.190000\n1411192598\t26.190000\n1411193198\t26.190000\n1411193799\t26.190000\n1411194399\t26.190000\n1411195000\t26.190000\n1411195600\t26.190000\n1411196201\t26.190000\n1411196801\t26.190000\n1411197402\t26.190000\n1411198003\t26.250000\n1411198603\t26.250000\n1411199204\t26.310000\n1411199804\t26.310000\n1411200405\t26.310000\n1411201005\t25.380000\n1411201606\t23.310000\n1411202206\t22.310000\n1411202807\t21.690000\n1411203407\t21.380000\n1411204008\t21.120000\n1411204608\t20.560000\n1411205209\t20.000000\n1411205810\t19.750000\n1411206410\t19.560000\n1411207011\t19.380000\n1411207611\t19.380000\n1411208227\t19.380000\n1411208827\t19.380000\n1411209428\t21.060000\n1411210028\t22.250000\n1411210629\t22.880000\n1411211229\t23.380000\n1411211830\t23.690000\n1411212431\t24.000000\n1411213031\t24.190000\n1411213632\t24.380000\n1411214232\t24.500000\n1411214833\t24.620000\n1411215433\t24.750000\n1411216034\t24.810000\n1411216634\t24.940000\n1411217235\t25.000000\n1411217835\t25.060000\n1411218436\t25.120000\n1411219036\t25.190000\n1411219637\t25.190000\n1411220237\t25.250000\n1411220838\t25.310000\n1411221439\t25.310000\n1411222039\t25.380000\n1411222640\t25.440000\n1411223240\t25.440000\n1411223841\t25.440000\n1411224441\t25.500000\n1411225042\t25.560000\n1411225642\t25.560000\n1411226243\t25.620000\n1411226858\t25.620000\n1411227459\t25.620000\n1411228059\t25.620000\n1411228660\t25.690000\n1411229260\t25.690000\n1411229861\t25.690000\n1411230461\t25.750000\n1411231062\t25.690000\n1411231662\t25.750000\n1411232263\t25.750000\n1411232864\t25.750000\n1411233464\t25.750000\n1411234065\t25.810000\n1411234665\t25.810000\n1411235266\t25.810000\n1411235866\t25.810000\n1411236467\t25.880000\n1411237067\t25.880000\n1411237668\t25.880000\n1411238268\t25.880000\n1411238869\t25.940000\n1411239469\t25.940000\n1411240070\t25.940000\n1411240671\t25.880000\n1411241271\t25.940000\n1411241872\t25.880000\n1411242472\t25.880000\n1411243073\t25.940000\n1411243673\t25.880000\n1411244274\t25.940000\n1411244889\t25.940000\n1411245490\t25.940000\n1411246090\t25.940000\n1411246691\t25.940000\n1411247292\t25.940000\n1411247892\t25.880000\n1411248493\t25.880000\n1411249093\t25.880000\n1411249694\t25.880000\n1411250294\t25.940000\n1411250895\t25.940000\n1411251495\t25.940000\n1411252096\t25.940000\n1411252696\t25.940000\n1411253297\t25.940000\n1411253897\t25.940000\n1411254498\t25.940000\n1411255099\t25.940000\n1411255699\t25.940000\n1411256300\t25.940000\n1411256900\t25.940000\n1411257501\t25.940000\n1411258101\t25.940000\n1411258702\t25.880000\n1411259302\t25.880000\n1411259903\t25.880000\n1411260503\t25.880000\n1411261119\t25.880000\n1411261719\t25.880000\n1411262320\t25.880000\n1411262920\t25.880000\n1411263521\t25.880000\n1411264122\t25.880000\n1411264722\t25.880000\n1411265323\t25.880000\n1411265923\t25.880000\n1411266524\t25.880000\n1411267124\t25.880000\n1411267725\t25.880000\n1411268325\t25.880000\n1411268926\t25.810000\n1411269526\t25.810000\n1411270127\t25.810000\n1411270728\t25.810000\n1411271328\t25.810000\n1411271929\t25.810000\n1411272529\t25.810000\n1411273130\t25.810000\n1411273730\t25.810000\n1411274331\t25.810000\n1411274931\t25.810000\n1411275532\t25.810000\n1411276132\t25.750000\n1411276733\t25.810000\n1411277333\t25.750000\n1411277934\t25.810000\n1411278535\t25.810000\n1411279150\t25.810000\n1411279750\t25.810000\n1411280351\t25.750000\n1411280952\t25.810000\n1411281552\t25.810000\n1411282153\t25.810000\n1411282753\t25.810000\n1411283354\t25.810000\n1411283954\t25.750000\n1411284555\t25.750000\n1411285155\t25.810000\n1411285756\t25.810000\n1411286356\t25.810000\n1411286957\t25.810000\n1411287557\t25.810000\n1411288158\t25.810000\n1411288759\t25.810000\n1411289359\t25.810000\n1411289960\t25.810000\n1411290560\t25.810000\n1411291161\t25.810000\n1411291761\t25.810000\n1411292362\t25.880000\n1411292962\t25.880000\n1411293563\t25.880000\n1411294163\t25.880000\n1411294764\t25.880000\n1411295380\t25.880000\n1411295980\t25.880000\n1411296581\t25.880000\n1411297181\t25.880000\n1411297782\t25.880000\n1411298382\t25.880000\n1411298983\t25.880000\n1411299583\t25.750000\n1411300184\t25.810000\n1411300784\t25.880000\n1411301385\t25.880000\n1411301985\t25.880000\n1411302586\t25.880000\n1411303186\t25.880000\n1411303787\t25.940000\n1411304388\t25.940000\n1411304988\t25.940000\n1411305589\t25.940000\n1411306189\t25.940000\n1411306790\t25.940000\n1411307390\t26.000000\n1411307991\t26.000000\n1411308591\t26.000000\n1411309192\t26.060000\n1411309792\t26.000000\n1411310393\t26.000000\n1411311008\t26.000000\n1411311609\t25.940000\n1411312209\t26.000000\n1411312810\t26.000000\n1411313411\t26.000000\n1411314011\t26.000000\n1411314612\t26.000000\n1411315212\t26.000000\n1411315813\t26.000000\n1411316413\t26.000000\n1411317014\t26.000000\n1411317614\t26.000000\n1411318215\t26.060000\n1411318815\t26.060000\n1411319416\t26.060000\n1411320017\t26.060000\n1411320617\t26.060000\n1411321218\t26.060000\n1411321818\t26.060000\n1411322419\t26.060000\n1411323019\t26.000000\n1411323620\t26.060000\n1411324220\t26.060000\n1411324821\t26.060000\n1411325421\t26.060000\n1411326022\t26.060000\n1411326622\t26.060000\n1411327223\t26.060000\n1411327823\t26.120000\n1411328424\t26.120000\n1411329040\t26.060000\n1411329640\t26.060000\n1411330241\t26.000000\n1411330841\t26.000000\n1411331442\t26.060000\n1411332042\t26.060000\n1411332643\t26.000000\n1411333243\t26.000000\n1411333844\t26.000000\n1411334445\t26.000000\n1411335045\t26.000000\n1411335646\t26.060000\n1411336246\t26.060000\n1411336847\t26.060000\n1411337447\t26.060000\n1411338048\t26.060000\n1411338648\t26.120000\n1411339249\t26.060000\n1411339849\t26.060000\n1411340450\t26.060000\n1411341050\t26.060000\n1411341651\t26.060000\n1411342251\t26.060000\n1411342852\t26.060000\n1411343452\t26.060000\n1411344053\t26.060000\n1411344653\t26.060000\n1411345254\t26.000000\n1411345855\t26.000000\n1411346455\t26.060000\n1411347056\t26.000000\n1411347671\t26.000000\n1411348272\t26.000000\n1411348872\t26.000000\n1411349473\t26.000000\n1411350073\t26.000000\n1411350674\t26.000000\n1411351275\t26.000000\n1411351875\t25.940000\n1411352476\t26.000000\n1411353076\t26.000000\n1411353677\t26.000000\n1411354277\t25.940000\n1411354878\t25.940000\n1411355478\t25.880000\n1411356079\t25.880000\n1411356679\t25.880000\n1411357280\t25.880000\n1411357881\t25.880000\n1411358481\t25.810000\n1411359082\t25.810000\n1411359682\t25.810000\n1411360283\t25.810000\n1411360883\t25.810000\n1411361484\t25.750000\n1411362084\t25.810000\n1411362685\t25.810000\n1411363285\t25.750000\n1411363901\t25.690000\n1411364501\t25.750000\n1411365102\t25.690000\n1411365702\t25.750000\n1411366303\t25.750000\n1411366904\t25.690000\n1411367504\t25.690000\n1411368105\t25.620000\n1411368705\t25.620000\n1411369306\t25.620000\n1411369906\t25.690000\n1411370507\t25.620000\n1411371107\t25.620000\n1411371708\t25.690000\n1411372308\t25.690000\n1411372909\t25.690000\n1411373509\t25.690000\n1411374110\t25.620000\n1411374711\t25.620000\n1411375311\t25.620000\n1411375912\t25.620000\n1411376512\t25.620000\n1411377113\t25.620000\n1411377713\t25.690000\n1411378314\t25.620000\n1411378914\t25.620000\n1411379515\t25.690000\n1411380116\t25.690000\n1411380716\t25.690000\n1411381317\t25.690000\n1411381917\t25.620000\n1411382518\t25.620000\n1411383133\t25.560000\n1411383734\t25.500000\n1411384334\t25.560000\n1411384935\t25.560000\n1411385535\t25.560000\n1411386136\t25.560000\n1411386736\t25.620000\n1411387337\t25.620000\n1411387938\t25.620000\n1411388538\t25.620000\n1411389139\t25.560000\n1411389739\t25.560000\n1411390340\t25.560000\n1411390940\t25.620000\n1411391541\t25.560000\n1411392141\t25.560000\n1411392742\t25.500000\n1411393342\t25.500000\n1411393943\t25.560000\n1411394543\t25.560000\n1411395144\t25.560000\n1411395745\t25.500000\n1411396345\t25.620000\n1411396946\t25.620000\n1411397546\t25.620000\n1411398147\t25.620000\n1411398747\t25.620000\n1411399348\t25.620000\n1411399948\t25.690000\n1411400549\t25.690000\n1411401149\t25.620000\n1411401750\t25.690000\n1411402365\t25.690000\n1411402966\t25.690000\n1411403567\t25.690000\n1411404167\t25.690000\n1411404768\t25.690000\n1411405368\t25.620000\n1411405969\t25.620000\n1411406569\t25.620000\n1411407170\t25.620000\n1411407770\t25.620000\n1411408371\t25.620000\n1411408971\t25.690000\n1411409572\t25.620000\n1411410173\t25.620000\n1411410773\t25.620000\n1411411374\t25.690000\n1411411974\t25.620000\n1411412575\t25.620000\n1411413175\t25.690000\n1411413776\t25.620000\n1411414376\t25.620000\n1411414977\t25.620000\n1411415577\t25.620000\n1411416178\t25.560000\n1411416778\t25.560000\n1411417379\t25.560000\n1411417979\t25.560000\n1411418580\t25.560000\n1411419181\t25.500000\n1411419781\t25.500000\n1411420381\t25.500000\n1411420982\t25.500000\n1411421598\t25.500000\n1411422198\t25.500000\n1411422799\t25.500000\n1411423399\t25.500000\n1411424000\t25.500000\n1411424600\t25.500000\n1411425201\t25.500000\n1411425801\t25.500000\n1411426402\t25.500000\n1411427002\t25.500000\n1411427603\t25.440000\n1411428203\t25.440000\n1411428804\t25.500000\n1411429404\t25.440000\n1411430005\t25.440000\n1411430606\t25.380000\n1411431206\t25.440000\n1411431807\t25.440000\n1411432407\t25.380000\n1411433008\t25.380000\n1411433608\t25.380000\n1411434209\t25.380000\n1411434809\t25.380000\n1411435410\t25.310000\n1411436010\t25.310000\n1411436611\t25.380000\n1411437212\t25.310000\n1411437812\t25.310000\n1411438428\t25.250000\n1411439028\t25.250000\n1411439629\t25.250000\n1411440229\t25.190000\n1411440830\t25.190000\n1411441430\t25.190000\n1411442031\t25.190000\n1411442631\t25.190000\n1411443232\t25.190000\n1411443833\t25.190000\n1411444433\t25.190000\n1411445034\t25.120000\n1411445634\t25.120000\n1411446235\t25.120000\n1411446835\t25.120000\n1411447436\t25.060000\n1411448036\t25.120000\n1411448637\t25.060000\n1411449237\t25.060000\n1411449838\t25.060000\n1411450439\t25.000000\n1411451039\t25.000000\n1411451640\t25.000000\n1411452240\t25.000000\n1411452841\t25.000000\n1411453441\t25.000000\n1411454042\t25.000000\n1411454642\t24.940000\n1411455243\t24.940000\n1411455843\t24.940000\n1411456444\t24.940000\n1411457045\t24.940000\n1411457645\t24.940000\n1411458261\t24.940000\n1411458861\t24.880000\n1411459462\t24.880000\n1411460062\t24.880000\n1411460663\t24.880000\n1411461263\t24.810000\n1411461864\t24.880000\n1411462464\t24.880000\n1411463065\t24.810000\n1411463665\t24.810000\n1411464266\t24.810000\n1411464867\t24.810000\n1411465467\t24.810000\n1411466068\t24.810000\n1411466668\t24.810000\n1411467269\t24.880000\n1411467869\t24.810000\n1411468470\t24.880000\n1411469070\t24.880000\n1411469671\t24.880000\n1411470272\t24.810000\n1411470872\t24.880000\n1411471473\t24.880000\n1411472073\t24.880000\n1411472674\t24.940000\n1411473274\t24.880000\n1411473875\t24.880000\n1411474475\t24.880000\n1411475076\t24.880000\n1411475676\t24.880000\n1411476277\t24.810000\n1411476877\t24.880000\n1411477478\t24.810000\n1411478078\t24.810000\n1411478694\t24.810000\n1411479295\t24.810000\n1411479895\t24.810000\n1411480496\t24.810000\n1411481096\t24.810000\n1411481697\t24.880000\n1411482297\t24.810000\n1411482898\t24.810000\n1411483498\t24.880000\n1411484099\t24.880000\n1411484699\t24.810000\n1411485300\t24.810000\n1411485900\t24.810000\n1411486501\t24.810000\n1411487101\t24.750000\n1411487702\t24.810000\n1411488303\t24.810000\n1411488903\t24.810000\n1411489504\t24.810000\n1411490104\t24.750000\n1411490705\t24.750000\n1411491305\t24.750000\n1411491906\t24.750000\n1411492506\t24.750000\n1411493107\t24.810000\n1411493707\t24.750000\n1411494308\t24.750000\n1411494909\t24.810000\n1411495509\t24.810000\n1411496110\t24.750000\n1411496710\t24.750000\n1411497311\t24.750000\n1411497911\t24.810000\n1411498512\t24.810000\n1411499127\t24.810000\n1411499728\t24.750000\n1411500328\t24.750000\n1411500929\t24.690000\n1411501530\t24.690000\n1411502130\t24.750000\n1411502731\t24.750000\n1411503331\t24.750000\n1411503932\t24.690000\n1411504532\t24.690000\n1411505133\t24.750000\n1411505733\t24.690000\n1411506334\t24.690000\n1411506934\t24.690000\n1411507535\t24.750000\n1411508135\t24.690000\n1411508736\t24.690000\n1411509336\t24.690000\n1411509937\t24.690000\n1411510538\t24.690000\n1411511138\t24.690000\n1411511739\t24.750000\n1411512339\t24.690000\n1411512940\t24.690000\n1411513540\t24.750000\n1411514141\t24.690000\n1411514741\t24.690000\n1411515342\t24.690000\n1411515942\t24.690000\n1411516543\t24.690000\n1411517143\t24.690000\n1411517744\t24.690000\n1411518360\t24.690000\n1411518960\t24.690000\n1411519561\t24.690000\n1411520161\t24.690000\n1411520762\t24.690000\n1411521362\t24.690000\n1411521963\t24.690000\n1411522563\t24.690000\n1411523164\t24.690000\n1411523764\t24.690000\n1411524365\t24.690000\n1411524965\t24.690000\n1411525566\t24.690000\n1411526166\t24.690000\n1411526767\t24.690000\n1411527368\t24.690000\n1411527968\t24.690000\n1411528569\t24.690000\n1411529169\t24.690000\n1411529770\t24.690000\n1411530370\t24.690000\n1411530971\t24.690000\n1411531571\t24.690000\n1411532172\t24.690000\n1411532772\t24.690000\n1411533373\t24.620000\n1411533974\t24.620000\n1411534574\t24.620000\n1411535175\t24.620000\n1411535775\t24.620000\n1411536391\t24.620000\n1411536991\t24.560000\n1411537592\t24.560000\n1411538192\t24.560000\n1411538793\t24.620000\n1411539393\t24.560000\n1411539994\t24.620000\n1411540594\t24.620000\n1411541195\t24.620000\n1411541796\t24.620000\n1411542396\t24.560000\n1411542997\t24.560000\n1411543597\t24.560000\n1411544198\t24.620000\n1411544798\t24.560000\n1411545399\t24.560000\n1411545999\t24.560000\n1411546600\t24.560000\n1411547200\t24.560000\n1411547801\t24.560000\n1411548402\t24.500000\n1411549002\t24.560000\n1411549603\t24.560000\n1411550203\t24.560000\n1411550804\t24.560000\n1411551404\t24.560000\n1411552005\t24.560000\n1411552605\t24.560000\n1411553206\t24.560000\n1411553806\t24.560000\n1411554407\t24.620000\n1411555022\t24.620000\n1411555623\t24.620000\n1411556223\t24.620000\n1411556824\t24.620000\n1411557425\t24.620000\n1411558025\t24.560000\n1411558626\t24.620000\n1411559226\t24.620000\n1411559827\t24.620000\n1411560427\t24.620000\n1411561028\t24.690000\n1411561628\t24.620000\n1411562229\t24.690000\n1411562829\t24.620000\n1411563430\t24.690000\n1411564030\t24.690000\n1411564631\t24.060000\n1411565232\t22.380000\n1411565832\t21.500000\n1411566433\t22.500000\n1411567033\t23.120000\n1411567634\t23.560000\n1411568234\t23.750000\n1411568835\t23.940000\n1411569435\t24.060000\n1411570036\t24.120000\n1411570636\t24.190000\n1411571237\t24.190000\n1411571837\t24.250000\n1411572438\t24.250000\n1411573039\t24.250000\n1411573639\t24.310000\n1411574255\t24.310000\n1411574855\t24.380000\n1411575456\t24.380000\n1411576056\t24.380000\n1411576657\t24.440000\n1411577257\t24.440000\n1411577858\t24.440000\n1411578458\t24.440000\n1411579059\t24.440000\n1411579660\t24.440000\n1411580260\t24.440000\n1411580861\t24.440000\n1411581461\t24.440000\n1411582062\t24.500000\n1411582662\t24.440000\n1411583263\t24.500000\n1411583863\t24.500000\n1411584464\t24.500000\n1411585065\t24.500000\n1411585665\t24.500000\n1411586266\t24.500000\n1411586866\t24.560000\n1411587467\t24.500000\n1411588067\t24.560000\n1411588668\t24.500000\n1411589268\t24.560000\n1411589869\t24.560000\n1411590469\t24.560000\n1411591070\t24.560000\n1411591670\t24.560000\n1411592271\t24.560000\n1411592886\t24.560000\n1411593487\t24.560000\n1411594088\t24.560000\n1411594688\t24.560000\n1411595289\t24.560000\n1411595889\t24.560000\n1411596490\t24.560000\n1411597090\t24.620000\n1411597691\t24.620000\n1411598291\t24.620000\n1411598892\t24.690000\n1411599492\t24.690000\n1411600093\t24.620000\n1411600693\t24.620000\n1411601294\t24.620000\n1411601895\t24.620000\n1411602495\t24.620000\n1411603096\t24.620000\n1411603696\t24.620000\n1411604297\t24.620000\n1411604897\t24.620000\n1411605498\t24.690000\n1411606098\t24.690000\n1411606699\t24.620000\n1411607299\t24.690000\n1411607900\t24.620000\n1411608501\t24.620000\n1411609101\t24.620000\n1411609702\t24.620000\n1411610302\t24.560000\n1411610918\t24.560000\n1411611518\t24.560000\n1411612119\t24.560000\n1411612719\t24.500000\n1411613320\t24.500000\n1411613920\t24.500000\n1411614521\t24.560000\n1411615122\t24.560000\n1411615722\t24.560000\n1411616323\t24.560000\n1411616923\t24.560000\n1411617524\t24.560000\n1411618124\t24.560000\n1411618725\t24.560000\n1411619325\t24.560000\n1411619926\t24.560000\n1411620526\t24.560000\n1411621127\t24.560000\n1411621727\t24.560000\n1411622328\t24.560000\n1411622928\t24.560000\n1411623529\t24.500000\n1411624130\t24.560000\n1411624730\t24.500000\n1411625331\t24.560000\n1411625931\t24.500000\n1411626532\t24.500000\n1411627132\t24.560000\n1411627733\t24.560000\n1411628348\t24.560000\n1411628949\t24.560000\n1411629549\t24.560000\n1411630150\t24.620000\n1411630750\t24.560000\n1411631351\t24.560000\n1411631952\t24.560000\n1411632552\t24.560000\n1411633153\t24.560000\n1411633753\t24.560000\n1411634354\t24.560000\n1411634954\t24.560000\n1411635555\t24.560000\n1411636155\t24.560000\n1411636756\t24.560000\n1411637356\t24.560000\n1411637957\t24.560000\n1411638557\t24.560000\n1411639158\t24.620000\n1411639759\t24.560000\n1411640359\t24.620000\n1411640960\t24.620000\n1411641560\t24.620000\n1411642161\t24.620000\n1411642761\t24.620000\n1411643362\t24.620000\n1411643962\t24.620000\n1411644563\t24.690000\n1411645163\t24.690000\n1411645764\t24.690000\n1411646364\t24.690000\n1411646980\t24.690000\n1411647580\t24.690000\n1411648181\t24.690000\n1411648781\t24.690000\n1411649382\t24.750000\n1411649983\t24.750000\n1411650583\t24.690000\n1411651184\t24.750000\n1411651784\t24.690000\n1411652385\t24.750000\n1411652985\t24.750000\n1411653586\t24.690000\n1411654186\t24.750000\n1411654787\t24.750000\n1411655387\t24.810000\n1411655988\t24.810000\n1411656589\t24.810000\n1411657189\t24.810000\n1411657790\t24.810000\n1411658390\t24.880000\n1411658991\t24.880000\n1411659591\t24.810000\n1411660192\t24.810000\n1411660792\t24.750000\n1411661393\t24.750000\n1411661993\t24.810000\n1411662594\t24.810000\n1411663194\t24.810000\n1411663795\t24.810000\n1411664396\t24.810000\n1411664996\t24.810000\n1411665597\t24.810000\n1411666212\t24.810000\n1411666813\t24.810000\n1411667413\t24.810000\n1411668014\t24.810000\n1411668614\t24.750000\n1411669215\t24.750000\n1411669815\t24.750000\n1411670416\t24.750000\n1411671016\t24.810000\n1411671617\t24.810000\n1411672217\t24.810000\n1411672818\t24.810000\n1411673419\t24.810000\n1411674019\t24.810000\n1411674620\t24.810000\n1411675220\t24.810000\n1411675821\t24.810000\n1411676421\t24.810000\n1411677022\t24.750000\n1411677622\t24.750000\n1411678223\t24.750000\n1411678823\t24.750000\n1411679424\t24.750000\n1411680025\t24.750000\n1411680625\t24.750000\n1411681226\t24.810000\n1411681826\t24.810000\n1411682442\t24.810000\n1411683042\t24.810000\n1411683643\t24.810000\n1411684243\t24.880000\n1411684844\t24.880000\n1411685444\t24.880000\n1411686045\t24.810000\n1411686645\t24.810000\n1411687246\t24.810000\n1411687846\t24.880000\n1411688447\t24.880000\n1411689047\t24.880000\n1411689648\t24.880000\n1411690249\t24.810000\n1411690849\t24.880000\n1411691450\t24.810000\n1411692050\t24.810000\n1411692651\t24.810000\n1411693251\t24.750000\n1411693852\t24.750000\n1411694452\t24.750000\n1411695053\t24.750000\n1411695653\t24.750000\n1411696254\t24.750000\n1411696854\t24.690000\n1411697455\t24.690000\n1411698056\t24.750000\n1411698656\t24.750000\n1411699257\t24.750000\n1411699857\t24.750000\n1411700458\t24.750000\n1411701073\t24.750000\n1411701674\t24.750000\n1411702274\t24.750000\n1411702875\t24.690000\n1411703475\t24.690000\n1411704076\t24.690000\n1411704676\t24.620000\n1411705277\t24.690000\n1411705877\t24.620000\n1411706478\t24.620000\n1411707079\t24.620000\n1411707679\t24.690000\n1411708280\t24.690000\n1411708880\t24.690000\n1411709481\t24.690000\n1411710081\t24.690000\n1411710682\t24.690000\n1411711282\t24.690000\n1411711883\t24.750000\n1411712483\t24.690000\n1411713084\t24.690000\n1411713685\t24.560000\n1411714285\t24.500000\n1411714886\t24.440000\n1411715486\t24.380000\n1411716087\t24.380000\n1411716687\t24.250000\n1411717288\t24.310000\n1411717888\t24.250000\n1411718489\t24.190000\n1411719089\t24.190000\n1411719705\t24.190000\n1411720305\t24.190000\n1411720906\t24.250000\n1411721506\t24.250000\n1411722107\t24.190000\n1411722708\t24.250000\n1411723308\t24.060000\n1411723909\t24.060000\n1411724509\t24.060000\n1411725110\t24.060000\n1411725710\t24.000000\n1411726311\t24.000000\n1411726911\t23.940000\n1411727512\t23.940000\n1411728112\t23.880000\n1411728713\t23.940000\n1411729313\t24.000000\n1411729914\t24.060000\n1411730514\t24.060000\n1411731115\t24.060000\n1411731716\t24.060000\n1411732316\t24.000000\n1411732917\t23.940000\n1411733517\t23.880000\n1411734118\t23.880000\n1411734718\t23.810000\n1411735319\t23.880000\n1411735919\t23.880000\n1411736520\t23.810000\n1411737135\t23.750000\n1411737736\t23.810000\n1411738337\t23.810000\n1411738937\t23.810000\n1411739538\t23.880000\n1411740138\t23.940000\n1411740739\t23.810000\n1411741339\t23.880000\n1411741940\t23.880000\n1411742540\t23.940000\n1411743141\t23.940000\n1411743741\t23.940000\n1411744342\t24.060000\n1411744942\t24.060000\n1411745543\t24.190000\n1411746143\t24.120000\n1411746744\t24.190000\n1411747344\t24.250000\n1411747945\t24.120000\n1411748546\t24.060000\n1411749146\t24.120000\n1411749747\t24.060000\n1411750347\t24.060000\n1411750948\t24.000000\n1411751548\t24.000000\n1411752149\t24.060000\n1411752749\t24.000000\n1411753350\t24.060000\n1411753951\t24.000000\n1411754551\t24.000000\n1411755167\t24.060000\n1411755767\t24.120000\n1411756368\t24.120000\n1411756968\t24.190000\n1411757569\t24.190000\n1411758169\t24.310000\n1411758770\t24.380000\n1411759370\t24.440000\n1411759971\t24.560000\n1411760571\t24.560000\n1411761172\t24.560000\n1411761772\t24.620000\n1411762373\t24.620000\n1411762973\t24.620000\n1411763574\t24.620000\n1411764174\t24.620000\n1411764775\t24.690000\n1411765376\t24.690000\n1411765976\t24.690000\n1411766577\t24.690000\n1411767177\t24.750000\n1411767778\t24.750000\n1411768378\t24.810000\n1411768979\t24.810000\n1411769579\t24.810000\n1411770180\t24.880000\n1411770780\t24.880000\n1411771381\t24.880000\n1411771982\t24.880000\n1411772582\t24.810000\n1411773183\t24.750000\n1411773798\t24.690000\n1411774399\t24.690000\n1411774999\t24.620000\n1411775600\t24.620000\n1411776200\t24.620000\n1411776801\t24.560000\n1411777401\t24.500000\n1411778002\t24.500000\n1411778603\t24.560000\n1411779203\t24.500000\n1411779804\t24.500000\n1411780404\t24.500000\n1411781005\t24.560000\n1411781605\t24.500000\n1411782206\t24.560000\n1411782806\t24.620000\n1411783407\t24.620000\n1411784007\t24.690000\n1411784608\t24.620000\n1411785208\t24.500000\n1411785809\t24.560000\n1411786410\t24.560000\n1411787010\t24.560000\n1411787611\t24.500000\n1411788211\t24.500000\n1411788812\t24.500000\n1411789412\t24.500000\n1411790013\t24.560000\n1411790613\t24.620000\n1411791214\t24.560000\n1411791814\t24.560000\n1411792415\t24.560000\n1411793030\t24.560000\n1411793631\t24.560000\n1411794231\t24.560000\n1411794832\t24.560000\n1411795433\t24.500000\n1411796033\t24.440000\n1411796634\t24.440000\n1411797234\t24.440000\n1411797835\t24.440000\n1411798435\t24.500000\n1411799036\t24.500000\n1411799636\t24.500000\n1411800237\t24.310000\n1411800837\t24.380000\n1411801438\t24.310000\n1411802039\t24.190000\n1411802639\t24.310000\n1411803240\t24.380000\n1411803840\t24.310000\n1411804441\t24.310000\n1411805041\t24.440000\n1411805642\t24.500000\n1411806242\t24.440000\n1411806843\t24.380000\n1411807443\t24.380000\n1411808044\t24.380000\n1411808644\t24.380000\n1411809245\t24.120000\n1411809845\t24.250000\n1411810446\t24.310000\n1411811062\t24.440000\n1411811662\t24.440000\n1411812263\t24.620000\n1411812863\t24.500000\n1411813464\t24.380000\n1411814064\t24.440000\n1411814665\t24.310000\n1411815265\t24.440000\n1411815866\t24.500000\n1411816466\t24.560000\n1411817067\t24.380000\n1411817668\t24.440000\n1411818268\t24.380000\n1411818869\t24.310000\n1411819469\t24.310000\n1411820070\t24.380000\n1411820670\t24.380000\n1411821271\t24.380000\n1411821871\t24.500000\n1411822472\t24.440000\n1411823072\t24.440000\n1411823673\t24.380000\n1411824274\t24.380000\n1411824874\t24.250000\n1411825475\t24.310000\n1411826075\t24.380000\n1411826676\t24.440000\n1411827276\t24.500000\n1411827877\t24.440000\n1411828477\t24.560000\n1411829078\t24.560000\n1411829678\t24.500000\n1411830294\t24.440000\n1411830894\t24.500000\n1411831495\t24.500000\n1411832095\t24.560000\n1411832696\t24.690000\n1411833297\t24.750000\n1411833897\t24.690000\n1411834498\t24.750000\n1411835098\t24.750000\n1411835699\t24.810000\n1411836299\t24.750000\n1411836900\t24.750000\n1411837500\t24.810000\n1411838101\t24.810000\n1411838701\t24.810000\n1411839302\t24.880000\n1411839903\t24.880000\n1411840503\t24.880000\n1411841104\t24.940000\n1411841704\t24.880000\n1411842305\t24.880000\n1411842905\t24.940000\n1411843506\t24.940000\n1411844106\t24.940000\n1411844707\t24.940000\n1411845307\t24.940000\n1411845908\t25.000000\n1411846508\t25.000000\n1411847109\t25.000000\n1411847709\t25.060000\n1411848310\t25.000000\n1411848911\t25.000000\n1411849526\t25.000000\n1411850127\t25.000000\n1411850727\t25.000000\n1411851328\t25.000000\n1411851928\t25.060000\n1411852529\t25.060000\n1411853129\t25.060000\n1411853730\t25.060000\n1411854330\t25.060000\n1411854931\t25.120000\n1411855532\t25.190000\n1411856132\t25.250000\n1411856733\t25.250000\n1411857333\t25.310000\n1411857934\t25.310000\n1411858534\t25.310000\n1411859135\t25.250000\n1411859735\t25.250000\n1411860336\t25.310000\n1411860936\t25.250000\n1411861537\t25.310000\n1411862137\t25.310000\n1411862738\t25.310000\n1411863339\t25.380000\n1411863939\t25.380000\n1411864540\t25.380000\n1411865140\t25.310000\n1411865741\t25.380000\n1411866341\t25.250000\n1411866942\t25.310000\n1411867542\t25.310000\n1411868143\t25.310000\n1411868744\t25.250000\n1411869344\t25.250000\n1411869945\t25.250000\n1411870545\t25.190000\n1411871161\t25.250000\n1411871761\t25.250000\n1411872362\t25.250000\n1411872962\t25.190000\n1411873563\t25.250000\n1411874163\t25.310000\n1411874764\t25.310000\n1411875365\t25.310000\n1411875965\t25.310000\n1411876566\t25.310000\n1411877166\t25.380000\n1411877767\t25.380000\n1411878367\t25.310000\n1411878968\t25.310000\n1411879568\t25.310000\n1411880169\t25.250000\n1411880769\t25.250000\n1411881370\t25.310000\n1411881970\t25.250000\n1411882571\t25.190000\n1411883171\t25.250000\n1411883772\t25.250000\n1411884372\t25.250000\n1411884973\t25.250000\n1411885573\t25.250000\n1411886174\t25.310000\n1411886775\t25.310000\n1411887375\t25.310000\n1411887976\t25.310000\n1411888576\t25.310000\n1411889177\t25.310000\n1411889777\t25.250000\n1411890378\t25.190000\n1411890993\t25.250000\n1411891594\t25.190000\n1411892194\t25.120000\n1411892795\t25.000000\n1411893395\t25.000000\n1411893996\t24.940000\n1411894596\t25.060000\n1411895197\t25.060000\n1411895798\t25.120000\n1411896398\t25.120000\n1411896999\t25.060000\n1411897599\t25.120000\n1411898200\t25.060000\n1411898800\t25.000000\n1411899401\t25.000000\n1411900001\t25.120000\n1411900602\t25.120000\n1411901202\t25.060000\n1411901803\t25.120000\n1411902403\t25.060000\n1411903004\t25.060000\n1411903605\t25.000000\n1411904205\t25.060000\n1411904806\t25.190000\n1411905406\t25.190000\n1411906007\t25.250000\n1411906607\t25.250000\n1411907208\t25.120000\n1411907808\t25.120000\n1411908409\t25.120000\n1411909009\t25.190000\n1411909610\t25.190000\n1411910211\t25.060000\n1411910826\t25.000000\n1411911427\t25.000000\n1411912027\t25.060000\n1411912628\t25.120000\n1411913228\t25.120000\n1411913829\t25.120000\n1411914429\t25.120000\n1411915030\t25.120000\n1411915630\t25.060000\n1411916231\t25.120000\n1411916832\t25.120000\n1411917432\t25.190000\n1411918033\t25.250000\n1411918633\t25.250000\n1411919234\t25.310000\n1411919834\t25.250000\n1411920435\t25.250000\n1411921035\t25.250000\n1411921636\t25.250000\n1411922236\t25.250000\n1411922837\t25.250000\n1411923438\t25.310000\n1411924038\t25.250000\n1411924639\t25.310000\n1411925239\t25.310000\n1411925840\t25.310000\n1411926440\t25.310000\n1411927041\t25.250000\n1411927641\t25.250000\n1411928242\t25.310000\n1411928843\t25.310000\n1411929458\t25.380000\n1411930059\t25.380000\n1411930659\t25.380000\n1411931260\t25.380000\n1411931860\t25.440000\n1411932461\t25.380000\n1411933061\t25.310000\n1411933662\t25.310000\n1411934262\t25.440000\n1411934863\t25.440000\n1411935463\t25.440000\n1411936064\t25.440000\n1411936664\t25.380000\n1411937265\t25.310000\n1411937865\t25.310000\n1411938466\t25.250000\n1411939066\t25.250000\n1411939667\t25.310000\n1411940267\t25.380000\n1411940868\t25.440000\n1411941469\t25.500000\n1411942069\t25.500000\n1411942670\t25.560000\n1411943270\t25.560000\n1411943871\t25.620000\n1411944471\t25.620000\n1411945072\t25.690000\n1411945672\t25.690000\n1411946273\t25.690000\n1411946873\t25.690000\n1411947474\t25.750000\n1411948089\t25.750000\n1411948690\t25.750000\n1411949290\t25.750000\n1411949891\t25.750000\n1411950492\t25.750000\n1411951092\t25.750000\n1411951693\t25.750000\n1411952293\t25.750000\n1411952894\t25.750000\n1411953494\t25.750000\n1411954095\t25.750000\n1411954695\t25.810000\n1411955296\t25.810000\n1411955896\t25.810000\n1411956497\t25.880000\n1411957098\t25.940000\n1411957698\t25.940000\n1411958299\t25.880000\n1411958899\t25.940000\n1411959500\t26.000000\n1411960100\t26.000000\n1411960701\t26.060000\n1411961301\t26.120000\n1411961902\t26.120000\n1411962502\t26.120000\n1411963103\t26.120000\n1411963703\t26.120000\n1411964304\t26.190000\n1411964905\t26.190000\n1411965505\t26.190000\n1411966121\t26.190000\n1411966721\t26.190000\n1411967322\t26.190000\n1411967922\t26.250000\n1411968523\t26.250000\n1411969123\t26.250000\n1411969724\t26.250000\n1411970324\t26.310000\n1411970925\t26.310000\n1411971526\t26.310000\n1411972126\t26.310000\n1411972727\t26.310000\n1411973327\t26.310000\n1411973928\t26.310000\n1411974528\t26.310000\n1411975129\t26.310000\n1411975729\t26.250000\n1411976330\t26.250000\n1411976930\t26.250000\n1411977531\t26.250000\n1411978131\t26.250000\n1411978732\t26.190000\n1411979332\t26.250000\n1411979933\t26.250000\n1411980533\t26.250000\n1411981134\t26.310000\n1411981734\t26.310000\n1411982335\t26.310000\n1411982951\t26.380000\n1411983551\t24.190000\n1411984152\t22.880000\n1411984752\t22.190000\n1411985353\t21.810000\n1411985953\t21.500000\n1411986554\t22.440000\n1411987154\t23.500000\n1411987755\t24.060000\n1411988355\t24.440000\n1411988956\t24.620000\n1411989556\t24.750000\n1411990157\t24.810000\n1411990757\t23.810000\n1411991358\t24.560000\n1411991959\t25.000000\n1411992559\t25.310000\n1411993160\t25.440000\n1411993760\t25.560000\n1411994361\t25.690000\n1411994961\t25.750000\n1411995562\t25.880000\n1411996162\t25.940000\n1411996763\t26.000000\n1411997363\t26.000000\n1411997964\t26.120000\n1411998564\t26.060000\n1411999165\t26.120000\n1411999765\t26.190000\n1412000366\t26.190000\n1412000982\t26.190000\n1412001582\t26.190000\n1412002183\t26.190000\n1412002783\t26.250000\n1412003384\t26.250000\n1412003984\t26.310000\n1412004585\t26.310000\n1412005185\t26.380000\n1412005786\t26.380000\n1412006386\t26.380000\n1412006987\t26.380000\n1412007587\t26.380000\n1412008188\t26.440000\n1412008789\t26.440000\n1412009389\t26.440000\n1412009990\t26.440000\n1412010590\t26.440000\n1412011191\t26.440000\n1412011791\t26.500000\n1412012392\t26.500000\n1412012992\t26.500000\n1412013593\t26.440000\n1412014193\t26.440000\n1412014794\t26.440000\n1412015395\t26.440000\n1412015995\t26.440000\n1412016596\t26.440000\n1412017196\t26.440000\n1412017797\t26.440000\n1412018397\t26.500000\n1412018998\t26.440000\n1412019598\t26.500000\n1412020214\t26.500000\n1412020814\t26.500000\n1412021415\t26.500000\n1412022015\t26.500000\n1412022616\t26.440000\n1412023217\t26.440000\n1412023817\t26.440000\n1412024418\t26.500000\n1412025018\t26.440000\n1412025619\t26.440000\n1412026219\t26.440000\n1412026820\t26.440000\n1412027420\t26.440000\n1412028021\t26.440000\n1412028621\t26.440000\n1412029222\t26.440000\n1412029822\t26.440000\n1412030423\t26.500000\n1412031024\t26.440000\n1412031624\t26.380000\n1412032225\t26.380000\n1412032825\t26.380000\n1412033426\t26.380000\n1412034026\t26.310000\n1412034627\t26.380000\n1412035227\t26.380000\n1412035828\t26.380000\n1412036428\t26.310000\n1412037029\t26.310000\n1412037629\t26.310000\n1412038245\t26.310000\n1412038846\t26.310000\n1412039446\t26.310000\n1412040047\t26.250000\n1412040647\t26.310000\n1412041248\t26.250000\n1412041848\t26.250000\n1412042449\t26.250000\n1412043049\t26.190000\n1412043650\t26.190000\n1412044250\t26.250000\n1412044851\t26.190000\n1412045451\t26.190000\n1412046052\t26.190000\n1412046653\t26.190000\n1412047253\t26.120000\n1412047854\t26.120000\n1412048454\t26.120000\n1412049055\t26.120000\n1412049655\t26.120000\n1412050256\t26.120000\n1412050856\t26.120000\n1412051457\t26.120000\n1412052057\t26.060000\n1412052658\t26.060000\n1412053258\t26.060000\n1412053859\t26.000000\n1412054460\t26.000000\n1412055060\t26.000000\n1412055661\t26.000000\n1412056261\t26.000000\n1412056877\t26.000000\n1412057477\t26.000000\n1412058078\t26.000000\n1412058678\t26.000000\n1412059279\t26.000000\n1412059880\t26.000000\n1412060480\t26.000000\n1412061081\t25.940000\n1412061681\t25.940000\n1412062282\t25.940000\n1412062882\t25.940000\n1412063483\t25.880000\n1412064083\t25.880000\n1412064684\t25.880000\n1412065285\t25.880000\n1412065885\t25.880000\n1412066486\t25.810000\n1412067086\t25.880000\n1412067687\t25.880000\n1412068287\t25.810000\n1412068888\t25.810000\n1412069488\t25.810000\n1412070089\t25.880000\n1412070689\t25.880000\n1412071290\t25.880000\n1412071890\t25.880000\n1412072491\t25.880000\n1412073092\t25.880000\n1412073692\t25.940000\n1412074293\t25.880000\n1412074893\t25.940000\n1412075494\t25.940000\n1412076109\t25.940000\n1412076710\t25.940000\n1412077310\t25.940000\n1412077911\t25.940000\n1412078511\t25.940000\n1412079112\t25.880000\n1412079712\t25.940000\n1412080313\t25.880000\n1412080913\t25.940000\n1412081514\t25.940000\n1412082115\t25.940000\n1412082715\t25.940000\n1412083316\t25.940000\n1412083916\t26.000000\n1412084517\t25.940000\n1412085117\t25.940000\n1412085718\t26.000000\n1412086318\t25.940000\n1412086919\t26.000000\n1412087519\t26.000000\n1412088120\t25.940000\n1412088720\t26.000000\n1412089321\t25.940000\n1412089921\t25.940000\n1412090522\t25.940000\n1412091123\t25.940000\n1412091723\t25.940000\n1412092324\t25.940000\n1412092924\t25.940000\n1412093525\t25.940000\n1412094125\t25.940000\n1412094741\t25.940000\n1412095341\t25.940000\n1412095942\t25.940000\n1412096542\t25.880000\n1412097143\t25.880000\n1412097743\t25.880000\n1412098344\t25.880000\n1412098945\t25.880000\n1412099545\t25.810000\n1412100146\t25.880000\n1412100746\t25.880000\n1412101347\t25.810000\n1412101947\t25.810000\n1412102548\t25.810000\n1412103148\t25.810000\n1412103749\t25.750000\n1412104349\t25.750000\n1412104950\t25.750000\n1412105550\t25.750000\n1412106151\t25.750000\n1412106752\t25.750000\n1412107352\t25.750000\n1412107953\t25.690000\n1412108553\t25.690000\n1412109154\t25.690000\n1412109754\t25.690000\n1412110355\t25.690000\n1412110955\t25.620000\n1412111556\t25.690000\n1412112156\t25.690000\n1412112757\t25.690000\n1412113372\t25.690000\n1412113973\t25.620000\n1412114574\t25.620000\n1412115174\t25.620000\n1412115775\t25.620000\n1412116375\t25.690000\n1412116976\t25.620000\n1412117576\t25.620000\n1412118177\t25.620000\n1412118777\t25.620000\n1412119378\t25.560000\n1412119978\t25.560000\n1412120579\t25.560000\n1412121179\t25.500000\n1412121780\t25.500000\n1412122381\t25.500000\n1412122981\t25.440000\n1412123582\t25.500000\n1412124182\t25.440000\n1412124783\t25.440000\n1412125383\t25.440000\n1412125984\t25.380000\n1412126584\t25.380000\n1412127185\t25.310000\n1412127785\t25.310000\n1412128386\t25.250000\n1412128986\t25.190000\n1412129587\t25.190000\n1412130188\t25.120000\n1412130788\t25.120000\n1412131404\t25.120000\n1412132004\t25.120000\n1412132605\t25.120000\n1412133205\t25.060000\n1412133806\t25.060000\n1412134406\t25.060000\n1412135007\t25.060000\n1412135607\t25.060000\n1412136208\t25.000000\n1412136809\t25.000000\n1412137409\t25.000000\n1412138010\t25.000000\n1412138610\t24.940000\n1412139211\t24.940000\n1412139811\t24.880000\n1412140412\t24.880000\n1412141012\t24.810000\n1412141613\t24.810000\n1412142213\t24.880000\n1412142814\t24.810000\n1412143415\t24.810000\n1412144015\t24.810000\n1412144616\t24.810000\n1412145216\t24.810000\n1412145817\t24.810000\n1412146417\t24.810000\n1412147018\t24.750000\n1412147618\t24.750000\n1412148219\t24.750000\n1412148834\t24.750000\n1412149435\t24.750000\n1412150035\t24.750000\n1412150636\t24.750000\n1412151237\t24.750000\n1412151837\t24.750000\n1412152438\t24.750000\n1412153038\t24.750000\n1412153639\t24.750000\n1412154239\t24.810000\n1412154840\t24.810000\n1412155440\t24.810000\n1412156041\t24.880000\n1412156641\t24.880000\n1412157242\t24.940000\n1412157842\t24.940000\n1412158443\t24.940000\n1412159044\t24.880000\n1412159644\t24.940000\n1412160245\t24.940000\n1412160845\t24.940000\n1412161446\t24.940000\n1412162046\t24.940000\n1412162647\t24.940000\n1412163247\t24.940000\n1412163848\t24.880000\n1412164448\t24.940000\n1412165049\t24.940000\n1412165649\t24.940000\n1412166250\t25.000000\n1412166850\t25.000000\n1412167466\t25.060000\n1412168067\t24.440000\n1412168667\t24.060000\n1412169268\t23.810000\n1412169868\t23.810000\n1412170469\t24.190000\n1412171069\t24.440000\n1412171670\t24.620000\n1412172270\t24.690000\n1412172871\t24.810000\n1412173471\t24.810000\n1412174072\t24.810000\n1412174672\t24.810000\n1412175273\t24.810000\n1412175873\t24.880000\n1412176474\t24.880000\n1412177074\t24.880000\n1412177675\t24.880000\n1412178276\t24.940000\n1412178876\t24.880000\n1412179477\t24.880000\n1412180077\t24.940000\n1412180678\t24.940000\n1412181278\t24.940000\n1412181879\t24.940000\n1412182479\t24.940000\n1412183080\t24.940000\n1412183680\t24.940000\n1412184281\t24.880000\n1412184882\t24.880000\n1412185482\t24.880000\n1412186098\t24.880000\n1412186698\t24.880000\n1412187299\t24.880000\n1412187899\t24.880000\n1412188500\t24.880000\n1412189100\t24.810000\n1412189701\t24.810000\n1412190301\t24.810000\n1412190902\t24.810000\n1412191502\t24.810000\n1412192103\t24.810000\n1412192704\t24.880000\n1412193304\t24.880000\n1412193905\t24.880000\n1412194505\t24.880000\n1412195106\t24.810000\n1412195706\t24.810000\n1412196307\t24.880000\n1412196907\t24.810000\n1412197508\t24.810000\n1412198109\t24.880000\n1412198709\t24.880000\n1412199310\t24.880000\n1412199910\t24.880000\n1412200511\t24.880000\n1412201111\t24.880000\n1412201712\t24.880000\n1412202312\t24.940000\n1412202913\t24.940000\n1412203513\t24.940000\n1412204114\t24.940000\n1412204729\t24.940000\n1412205330\t24.940000\n1412205930\t24.940000\n1412206531\t24.940000\n1412207131\t24.940000\n1412207732\t24.940000\n1412208333\t24.940000\n1412208933\t24.940000\n1412209533\t24.940000\n1412210134\t24.940000\n1412210735\t24.940000\n1412211335\t25.000000\n1412211936\t25.000000\n1412212536\t25.000000\n1412213137\t25.000000\n1412213737\t25.000000\n1412214338\t24.940000\n1412214938\t24.940000\n1412215539\t24.880000\n1412216139\t24.880000\n1412216740\t24.880000\n1412217340\t24.810000\n1412217941\t24.810000\n1412218542\t24.880000\n1412219142\t24.940000\n1412219743\t24.880000\n1412220343\t24.940000\n1412220944\t24.940000\n1412221544\t24.880000\n1412222145\t24.880000\n1412222745\t24.810000\n1412223361\t24.810000\n1412223961\t24.810000\n1412224562\t24.810000\n1412225162\t24.810000\n1412225763\t24.880000\n1412226364\t24.940000\n1412226964\t25.000000\n1412227565\t25.000000\n1412228165\t25.000000\n1412228766\t25.000000\n1412229366\t25.060000\n1412229967\t25.060000\n1412230567\t25.060000\n1412231168\t25.060000\n1412231768\t25.060000\n1412232369\t25.060000\n1412232969\t25.060000\n1412233570\t25.060000\n1412234170\t25.120000\n1412234771\t25.120000\n1412235371\t25.120000\n1412235972\t25.120000\n1412236572\t25.120000\n1412237173\t25.120000\n1412237774\t25.120000\n1412238374\t25.120000\n1412238975\t25.120000\n1412239575\t25.190000\n1412240176\t25.120000\n1412240776\t25.190000\n1412241377\t25.190000\n1412241992\t25.250000\n1412242593\t25.250000\n1412243193\t25.250000\n1412243794\t25.250000\n1412244395\t25.310000\n1412244995\t25.310000\n1412245596\t25.310000\n1412246196\t25.310000\n1412246797\t25.310000\n1412247397\t25.310000\n1412247998\t25.380000\n1412248598\t25.380000\n1412249199\t25.380000\n1412249799\t25.380000\n1412250400\t25.380000\n1412251000\t25.380000\n1412251601\t25.380000\n1412252202\t25.380000\n1412252802\t25.440000\n1412253403\t25.440000\n1412254003\t25.440000\n1412254604\t25.440000\n1412255204\t25.440000\n1412255805\t25.440000\n1412256405\t25.440000\n1412257006\t25.440000\n1412257606\t25.440000\n1412258207\t25.500000\n1412258808\t25.440000\n1412259408\t25.500000\n1412260009\t25.500000\n1412260609\t25.500000\n1412261210\t25.500000\n1412261810\t25.560000\n1412262411\t25.440000\n1412263011\t23.060000\n1412263612\t22.380000\n1412264227\t23.750000\n1412264828\t24.560000\n1412265428\t24.940000\n1412266029\t25.190000\n1412266630\t25.380000\n1412267230\t25.500000\n1412267831\t25.620000\n1412268431\t25.690000\n1412269032\t25.750000\n1412269632\t25.810000\n1412270233\t25.880000\n1412270833\t25.880000\n1412271434\t25.940000\n1412272034\t25.940000\n1412272635\t26.000000\n1412273236\t26.000000\n1412273836\t26.060000\n1412274437\t26.060000\n1412275037\t26.060000\n1412275638\t26.060000\n1412276238\t26.120000\n1412276839\t26.120000\n1412277439\t26.120000\n1412278040\t26.190000\n1412278640\t26.190000\n1412279241\t26.190000\n1412279841\t26.250000\n1412280442\t26.250000\n1412281042\t26.250000\n1412281643\t26.250000\n1412282243\t26.250000\n1412282844\t26.310000\n1412283445\t26.250000\n1412284045\t26.310000\n1412284661\t26.310000\n1412285261\t26.310000\n1412285862\t26.310000\n1412286462\t26.380000\n1412287063\t26.380000\n1412287663\t26.380000\n1412288264\t26.440000\n1412288864\t26.440000\n1412289465\t26.440000\n1412290065\t26.440000\n1412290666\t26.440000\n1412291266\t26.440000\n1412291867\t26.440000\n1412292468\t26.500000\n1412293068\t26.500000\n1412293669\t26.500000\n1412294269\t26.500000\n1412294870\t26.500000\n1412295470\t26.500000\n1412296071\t26.560000\n1412296671\t26.560000\n1412297272\t26.560000\n1412297872\t26.560000\n1412298473\t26.560000\n1412299073\t26.620000\n1412299674\t26.620000\n1412300275\t26.620000\n1412300875\t26.620000\n1412301476\t26.620000\n1412302076\t26.620000\n1412302677\t26.620000\n1412303277\t26.690000\n1412303893\t26.690000\n1412304493\t26.690000\n1412305094\t26.690000\n1412305694\t26.690000\n1412306295\t26.690000\n1412306895\t26.750000\n1412307496\t26.750000\n1412308097\t26.750000\n1412308697\t26.750000\n1412309298\t26.810000\n1412309898\t26.750000\n1412310499\t26.810000\n1412311099\t26.810000\n1412311700\t26.810000\n1412312300\t26.810000\n1412312901\t26.810000\n1412313501\t26.810000\n1412314102\t26.810000\n1412314703\t26.810000\n1412315303\t26.810000\n1412315904\t26.810000\n1412316504\t26.810000\n1412317105\t26.810000\n1412317705\t26.810000\n1412318306\t26.810000\n1412318906\t26.810000\n1412319507\t26.880000\n1412320107\t26.880000\n1412320708\t26.810000\n1412321309\t26.880000\n1412321909\t26.880000\n1412322525\t26.880000\n1412323125\t26.810000\n1412323726\t26.750000\n1412324326\t26.750000\n1412324927\t26.810000\n1412325527\t26.810000\n1412326128\t26.810000\n1412326728\t26.810000\n1412327329\t25.810000\n1412327929\t23.310000\n1412328530\t22.190000\n1412329131\t21.560000\n1412329731\t21.120000\n1412330332\t21.750000\n1412330932\t23.120000\n1412331533\t23.810000\n1412332133\t24.250000\n1412332734\t24.500000\n1412333334\t24.750000\n1412333935\t24.880000\n1412334535\t25.000000\n1412335136\t25.060000\n1412335736\t25.190000\n1412336337\t25.250000\n1412336937\t25.310000\n1412337538\t25.380000\n1412338139\t25.440000\n1412338739\t25.440000\n1412339340\t25.440000\n1412339940\t25.500000\n1412340541\t25.560000\n1412341156\t25.560000\n1412341757\t25.560000\n1412342357\t25.190000\n1412342958\t24.000000\n1412343558\t23.310000\n1412344159\t23.000000\n1412344760\t22.810000\n1412345360\t22.690000\n1412345961\t22.560000\n1412346561\t23.060000\n1412347162\t23.810000\n1412347762\t24.190000\n1412348363\t24.500000\n1412348963\t24.750000\n1412349564\t24.810000\n1412350164\t24.940000\n1412350765\t25.000000\n1412351366\t25.060000\n1412351966\t25.120000\n1412352567\t25.190000\n1412353167\t25.190000\n1412353768\t25.250000\n1412354368\t25.250000\n1412354969\t25.310000\n1412355569\t25.310000\n1412356170\t25.380000\n1412356770\t25.380000\n1412357371\t25.440000\n1412357971\t25.380000\n1412358572\t25.440000\n1412359172\t25.440000\n1412359788\t25.440000\n1412360389\t25.440000\n1412360989\t25.440000\n1412361590\t25.440000\n1412362190\t25.440000\n1412362791\t25.440000\n1412363391\t25.440000\n1412363992\t25.440000\n1412364592\t25.440000\n1412365193\t25.440000\n1412365794\t25.440000\n1412366394\t25.500000\n1412366995\t25.500000\n1412367595\t25.500000\n1412368196\t25.500000\n1412368796\t25.500000\n1412369397\t25.500000\n1412369997\t25.500000\n1412370598\t25.500000\n1412371198\t25.560000\n1412371799\t25.620000\n1412372400\t25.560000\n1412373000\t25.560000\n1412373601\t25.620000\n1412374201\t25.620000\n1412374802\t25.690000\n1412375402\t25.690000\n1412376003\t25.690000\n1412376603\t25.690000\n1412377204\t25.750000\n1412377804\t25.750000\n1412378420\t25.750000\n1412379020\t25.750000\n1412379621\t25.750000\n1412380221\t25.750000\n1412380822\t25.750000\n1412381423\t25.750000\n1412382023\t25.750000\n1412382624\t25.750000\n1412383224\t25.750000\n1412383825\t25.810000\n1412384425\t25.810000\n1412385026\t25.810000\n1412385626\t25.810000\n1412386227\t25.810000\n1412386827\t25.810000\n1412387428\t25.750000\n1412388029\t25.810000\n1412388629\t25.750000\n1412389230\t25.750000\n1412389830\t25.750000\n1412390431\t25.810000\n1412391031\t25.810000\n1412391632\t25.810000\n1412392232\t25.810000\n1412392833\t25.810000\n1412393433\t25.810000\n1412394034\t25.810000\n1412394634\t25.810000\n1412395235\t25.880000\n1412395836\t25.880000\n1412396436\t25.880000\n1412397037\t25.880000\n1412397652\t25.880000\n1412398253\t25.880000\n1412398853\t25.880000\n1412399454\t25.880000\n1412400054\t25.880000\n1412400655\t25.880000\n1412401255\t25.880000\n1412401856\t25.940000\n1412402457\t25.940000\n1412403057\t25.940000\n1412403658\t25.940000\n1412404258\t25.940000\n1412404859\t25.940000\n1412405459\t25.940000\n1412406060\t25.810000\n1412406660\t23.440000\n1412407261\t22.000000\n1412407861\t21.120000\n1412408462\t20.750000\n1412409062\t20.500000\n1412409663\t20.250000\n1412410264\t20.000000\n1412410864\t19.560000\n1412411465\t19.750000\n1412412065\t19.810000\n1412412666\t19.810000\n1412413266\t19.880000\n1412413867\t20.000000\n1412414467\t20.190000\n1412415068\t20.190000\n1412415668\t20.250000\n1412416284\t20.440000\n1412416885\t21.310000\n1412417485\t22.120000\n1412418086\t22.500000\n1412418686\t22.750000\n1412419287\t22.940000\n1412419887\t23.060000\n1412420488\t23.190000\n1412421088\t22.120000\n1412421689\t20.310000\n1412422289\t21.310000\n1412422890\t20.620000\n1412423490\t20.620000\n1412424091\t20.940000\n1412424691\t20.810000\n1412425292\t20.810000\n1412425893\t20.690000\n1412426493\t20.690000\n1412427094\t20.620000\n1412427694\t20.690000\n1412428295\t20.690000\n1412428895\t20.560000\n1412429496\t20.440000\n1412430096\t20.380000\n1412430697\t20.560000\n1412431297\t20.380000\n1412431898\t20.310000\n1412432499\t20.250000\n1412433099\t20.310000\n1412433700\t20.190000\n1412434315\t20.620000\n1412434916\t21.750000\n1412435516\t22.380000\n1412436117\t22.750000\n1412436717\t23.060000\n1412437318\t23.250000\n1412437918\t23.380000\n1412438519\t23.440000\n1412439120\t23.190000\n1412439720\t23.310000\n1412440321\t23.380000\n1412440921\t23.310000\n1412441522\t23.440000\n1412442122\t22.620000\n1412442723\t21.500000\n1412443323\t20.880000\n1412443924\t20.690000\n1412444525\t20.440000\n1412445125\t20.380000\n1412445726\t20.310000\n1412446326\t20.060000\n1412446927\t19.940000\n1412447527\t21.380000\n1412448128\t22.190000\n1412448728\t22.620000\n1412449329\t22.940000\n1412449929\t23.120000\n1412450530\t23.310000\n1412451131\t23.440000\n1412451731\t23.560000\n1412452332\t23.620000\n1412452932\t23.750000\n1412453548\t23.810000\n1412454148\t23.880000\n1412454749\t23.940000\n1412455349\t24.000000\n1412455950\t24.060000\n1412456550\t24.120000\n1412457151\t24.190000\n1412457752\t24.190000\n1412458352\t24.250000\n1412458953\t24.310000\n1412459553\t24.310000\n1412460154\t24.380000\n1412460754\t24.380000\n1412461355\t24.440000\n1412461955\t24.500000\n1412462556\t24.560000\n1412463157\t24.560000\n1412463757\t24.560000\n1412464358\t24.560000\n1412464958\t24.560000\n1412465559\t24.620000\n1412466159\t24.620000\n1412466760\t24.620000\n1412467360\t24.690000\n1412467961\t24.690000\n1412468561\t24.750000\n1412469162\t24.750000\n1412469762\t24.750000\n1412470363\t24.810000\n1412470979\t24.810000\n1412471579\t24.810000\n1412472180\t24.880000\n1412472780\t24.880000\n1412473381\t24.880000\n1412473981\t24.880000\n1412474582\t24.940000\n1412475182\t24.880000\n1412475783\t24.940000\n1412476383\t24.940000\n1412476984\t24.940000\n1412477584\t24.940000\n1412478185\t24.940000\n1412478786\t24.940000\n1412479386\t25.000000\n1412479987\t25.000000\n1412480587\t25.000000\n1412481188\t25.000000\n1412481788\t25.060000\n1412482389\t25.060000\n1412482989\t25.060000\n1412483590\t25.060000\n1412484191\t25.060000\n1412484791\t25.060000\n1412485392\t25.060000\n1412485992\t25.060000\n1412486593\t25.060000\n1412487193\t25.060000\n1412487794\t25.060000\n1412488394\t25.120000\n1412488995\t25.120000\n1412489611\t25.120000\n1412490211\t25.120000\n1412490812\t25.120000\n1412491412\t25.120000\n1412492013\t25.120000\n1412492613\t25.190000\n1412493214\t25.250000\n1412493814\t25.250000\n1412494415\t25.250000\n1412495015\t24.250000\n1412495616\t23.690000\n1412496217\t24.310000\n1412496817\t24.620000\n1412497418\t24.880000\n1412498018\t24.940000\n1412498619\t25.060000\n1412499219\t25.120000\n1412499820\t25.190000\n1412500420\t25.190000\n1412501021\t24.880000\n1412501622\t25.000000\n1412502222\t25.120000\n1412502823\t25.190000\n1412503423\t25.190000\n1412504024\t25.250000\n1412504624\t25.310000\n1412505225\t25.310000\n1412505825\t25.250000\n1412506426\t25.310000\n1412507027\t25.310000\n1412507627\t25.310000\n1412508228\t25.380000\n1412508843\t25.380000\n1412509444\t25.310000\n1412510044\t25.310000\n1412510645\t25.380000\n1412511245\t25.380000\n1412511846\t25.380000\n1412512446\t25.380000\n1412513047\t25.440000\n1412513648\t25.440000\n1412514248\t25.440000\n1412514849\t25.500000\n1412515449\t25.440000\n1412516050\t25.440000\n1412516650\t25.440000\n1412517251\t25.500000\n1412517851\t25.500000\n1412518452\t25.500000\n1412519053\t25.500000\n1412519653\t25.500000\n1412520254\t25.500000\n1412520854\t25.500000\n1412521455\t25.500000\n1412522055\t25.500000\n1412522656\t25.500000\n1412523256\t25.560000\n1412523857\t25.560000\n1412524457\t25.560000\n1412525058\t25.560000\n1412525658\t25.560000\n1412526259\t25.560000\n1412526860\t25.560000\n1412527460\t25.620000\n1412528076\t25.620000\n1412528676\t25.620000\n1412529277\t25.560000\n1412529877\t25.620000\n1412530478\t25.560000\n1412531078\t25.560000\n1412531679\t25.560000\n1412532280\t25.560000\n1412532880\t25.560000\n1412533481\t25.500000\n1412534081\t25.560000\n1412534682\t25.560000\n1412535282\t25.560000\n1412535883\t25.560000\n1412536483\t25.620000\n1412537084\t25.620000\n1412537684\t25.560000\n1412538285\t25.620000\n1412538885\t25.620000\n1412539486\t25.620000\n1412540086\t25.690000\n1412540687\t25.560000\n1412541288\t25.620000\n1412541888\t25.560000\n1412542489\t25.560000\n1412543089\t25.560000\n1412543690\t25.560000\n1412544290\t25.560000\n1412544891\t25.620000\n1412545491\t25.620000\n1412546092\t25.620000\n1412546692\t25.620000\n1412547308\t25.620000\n1412547908\t25.620000\n1412548509\t25.690000\n1412549110\t25.620000\n1412549710\t25.690000\n1412550311\t25.690000\n1412550911\t25.690000\n1412551512\t25.690000\n1412552112\t25.690000\n1412552713\t25.690000\n1412553313\t25.690000\n1412553914\t25.620000\n1412554514\t25.560000\n1412555115\t25.620000\n1412555715\t25.620000\n1412556316\t25.620000\n1412556917\t25.560000\n1412557517\t25.500000\n1412558118\t25.500000\n1412558718\t25.500000\n1412559319\t25.310000\n1412559919\t25.250000\n1412560520\t25.190000\n1412561120\t25.120000\n1412561721\t25.120000\n1412562321\t25.120000\n1412562922\t25.060000\n1412563523\t25.000000\n1412564123\t24.940000\n1412564724\t24.940000\n1412565324\t24.940000\n1412565940\t24.940000\n1412566540\t24.940000\n1412567141\t24.940000\n1412567741\t24.940000\n1412568342\t24.940000\n1412568942\t24.940000\n1412569543\t25.000000\n1412570143\t25.000000\n1412570744\t25.000000\n1412571345\t25.060000\n1412571945\t25.000000\n1412572546\t25.060000\n1412573146\t25.060000\n1412573747\t25.000000\n1412574347\t24.940000\n1412574948\t24.940000\n1412575548\t24.880000\n1412576149\t24.880000\n1412576749\t24.880000\n1412577350\t24.880000\n1412577951\t24.880000\n1412578551\t24.880000\n1412579152\t24.810000\n1412579752\t24.750000\n1412580353\t24.750000\n1412580953\t24.690000\n1412581554\t24.690000\n1412582154\t24.620000\n1412582755\t24.620000\n1412583355\t24.620000\n1412583971\t24.560000\n1412584571\t24.620000\n1412585172\t24.620000\n1412585773\t24.560000\n1412586373\t24.560000\n1412586974\t24.560000\n1412587574\t24.500000\n1412588175\t24.500000\n1412588775\t24.500000\n1412589376\t24.500000\n1412589976\t24.440000\n1412590577\t24.380000\n1412591177\t24.440000\n1412591778\t24.440000\n1412592379\t24.440000\n1412592979\t24.380000\n1412593580\t24.440000\n1412594180\t24.310000\n1412594781\t24.380000\n1412595381\t24.440000\n1412595982\t24.440000\n1412596583\t24.310000\n1412597183\t24.250000\n1412597784\t24.310000\n1412598384\t24.380000\n1412598985\t24.380000\n1412599585\t24.380000\n1412600186\t24.380000\n1412600786\t24.380000\n1412601402\t24.380000\n1412602002\t24.310000\n1412602603\t24.310000\n1412603204\t24.310000\n1412603804\t24.250000\n1412604405\t24.190000\n1412605005\t24.190000\n1412605606\t24.120000\n1412606206\t24.120000\n1412606807\t24.060000\n1412608380\t20.120000\n1412608980\t19.250000\n1412609581\t19.380000\n1412610181\t20.620000\n1412610782\t21.500000\n1412611382\t22.060000\n1412611983\t22.310000\n1412612584\t22.500000\n1412613184\t22.620000\n1412613785\t22.690000\n1412614385\t22.750000\n1412614986\t22.810000\n1412615586\t22.880000\n1412616202\t22.880000\n1412616802\t22.880000\n1412617403\t22.880000\n1412618004\t22.940000\n1412618604\t22.940000\n1412619205\t22.940000\n1412619805\t22.940000\n1412620406\t23.000000\n1412621006\t23.000000\n1412621607\t22.940000\n1412622207\t22.940000\n1412622808\t22.880000\n1412623409\t22.940000\n1412624009\t22.940000\n1412624610\t22.940000\n1412625210\t22.940000\n1412625811\t22.880000\n1412626411\t22.880000\n1412627012\t22.880000\n1412627612\t22.810000\n1412628213\t22.810000\n1412628814\t22.810000\n1412629414\t22.810000\n1412630015\t22.810000\n1412630615\t22.810000\n1412631216\t22.810000\n1412631816\t22.810000\n1412632417\t22.810000\n1412633017\t22.810000\n1412633618\t22.810000\n1412634218\t22.810000\n1412634819\t22.750000\n1412635419\t22.810000\n1412636020\t22.750000\n1412636620\t22.690000\n1412637221\t22.750000\n1412637821\t22.750000\n1412638437\t22.750000\n1412639038\t22.750000\n1412639638\t22.810000\n1412640239\t22.810000\n1412640839\t22.810000\n1412641440\t22.810000\n1412642040\t22.810000\n1412642641\t22.750000\n1412643241\t22.690000\n1412643842\t22.690000\n1412644442\t22.690000\n1412645043\t22.690000\n1412645644\t22.690000\n1412646244\t22.750000\n1412646845\t22.690000\n1412647445\t22.560000\n1412648046\t22.620000\n1412648646\t22.620000\n1412649247\t22.620000\n1412649847\t22.560000\n1412650448\t22.500000\n1412651048\t22.500000\n1412651649\t22.500000\n1412652250\t22.500000\n1412652850\t22.500000\n1412653451\t22.500000\n1412654051\t22.500000\n1412654652\t22.500000\n1412655252\t22.500000\n1412655853\t22.500000\n1412656453\t22.440000\n1412657054\t22.500000\n1412657655\t22.440000\n1412658255\t22.500000\n1412658856\t22.500000\n1412659456\t22.440000\n1412660057\t22.440000\n1412660657\t22.380000\n1412661273\t22.380000\n1412661873\t22.380000\n1412662474\t22.310000\n1412663074\t22.310000\n1412663675\t22.310000\n1412664276\t22.250000\n1412664876\t22.310000\n1412665477\t22.250000\n1412666077\t22.250000\n1412666678\t22.190000\n1412667278\t22.250000\n1412667879\t22.250000\n1412668479\t22.250000\n1412669080\t22.190000\n1412669680\t22.190000\n1412670281\t22.190000\n1412670811\t22.190000\n1412671426\t22.120000\n1412672027\t20.250000\n1412672627\t21.000000\n1412673228\t21.560000\n1412673828\t21.810000\n1412674429\t21.940000\n1412675030\t22.000000\n1412675630\t22.060000\n1412676231\t22.120000\n1412676831\t22.120000\n1412677432\t22.120000\n1412678032\t22.190000\n1412678633\t22.250000\n1412679233\t22.310000\n1412679834\t22.380000\n1412680434\t22.440000\n1412681035\t22.440000\n1412681635\t22.500000\n1412682236\t22.500000\n1412682836\t22.560000\n1412683437\t22.560000\n1412684038\t22.560000\n1412684638\t22.560000\n1412685239\t22.560000\n1412685839\t22.620000\n1412686440\t22.560000\n1412687055\t22.620000\n1412687656\t22.560000\n1412688256\t22.620000\n1412688857\t22.620000\n1412689458\t22.620000\n1412690058\t22.620000\n1412690659\t22.620000\n1412691259\t22.690000\n1412691860\t22.690000\n1412692460\t22.620000\n1412693061\t22.620000\n1412693662\t22.690000\n1412694262\t22.750000\n1412694863\t22.750000\n1412695463\t22.750000\n1412696064\t22.750000\n1412696664\t22.690000\n1412697265\t22.750000\n1412697865\t22.750000\n1412698466\t22.750000\n1412699067\t22.690000\n1412699667\t22.690000\n1412700268\t22.750000\n1412700868\t22.750000\n1412701469\t22.750000\n1412702069\t22.810000\n1412702670\t22.810000\n1412703270\t22.750000\n1412703871\t22.810000\n1412704471\t22.750000\n1412705072\t22.750000\n1412705673\t22.750000\n1412706273\t22.750000\n1412706874\t22.810000\n1412707474\t22.880000\n1412708075\t22.940000\n1412708675\t22.940000\n1412709276\t23.000000\n1412709891\t23.000000\n1412710492\t23.060000\n1412711092\t23.060000\n1412711693\t23.000000\n1412712294\t23.000000\n1412712894\t23.000000\n1412713495\t22.940000\n1412714095\t22.940000\n1412714696\t22.940000\n1412715296\t22.940000\n1412715897\t22.940000\n1412716497\t23.000000\n1412717098\t22.940000\n1412717698\t23.000000\n1412718299\t23.000000\n1412718900\t23.120000\n1412719500\t23.120000\n1412720101\t23.120000\n1412720701\t23.190000\n1412721302\t23.250000\n1412721902\t23.250000\n1412722503\t23.250000\n1412723103\t23.310000\n1412723704\t23.380000\n1412724304\t23.310000\n1412724905\t23.380000\n1412725505\t23.440000\n1412726106\t23.440000\n1412726707\t23.500000\n1412727307\t23.560000\n1412727908\t23.560000\n1412728523\t23.560000\n1412729124\t23.620000\n1412729724\t23.690000\n1412730325\t23.690000\n1412730926\t23.690000\n1412731526\t23.690000\n1412732127\t23.750000\n1412732727\t23.750000\n1412733328\t23.810000\n1412733928\t23.750000\n1412734529\t23.750000\n1412735129\t23.810000\n1412735730\t23.810000\n1412736331\t23.810000\n1412736931\t23.750000\n1412737532\t23.750000\n1412738132\t23.690000\n1412738733\t23.620000\n1412739333\t23.620000\n1412739934\t23.620000\n1412740534\t23.690000\n1412741135\t23.690000\n1412741735\t23.690000\n1412742336\t23.750000\n1412742937\t23.750000\n1412743537\t23.750000\n1412744138\t23.750000\n1412744738\t23.810000\n1412745339\t23.810000\n1412745939\t23.810000\n1412746540\t23.880000\n1412747140\t23.880000\n1412747756\t23.880000\n1412748356\t23.810000\n1412748957\t23.810000\n1412749558\t23.880000\n1412750158\t23.810000\n1412750759\t23.810000\n1412751359\t23.810000\n1412751960\t23.810000\n1412752560\t23.750000\n1412753161\t23.690000\n1412753761\t23.690000\n1412754362\t23.690000\n1412754962\t23.560000\n1412755563\t23.560000\n1412756163\t23.500000\n1412756764\t23.500000\n1412757364\t23.440000\n1412757965\t23.380000\n1412758565\t23.440000\n1412759166\t23.380000\n1412759767\t23.310000\n1412760367\t23.250000\n1412760968\t23.310000\n1412761568\t23.250000\n1412762169\t23.310000\n1412762769\t23.310000\n1412763370\t23.380000\n1412763970\t23.310000\n1412764586\t23.250000\n1412765186\t23.250000\n1412765787\t23.250000\n1412766387\t23.250000\n1412766988\t23.250000\n1412767588\t23.250000\n1412768189\t23.250000\n1412768790\t23.250000\n1412769390\t23.250000\n1412769991\t23.190000\n1412770591\t23.190000\n1412771192\t23.120000\n1412771792\t23.060000\n1412772393\t23.120000\n1412772993\t23.120000\n1412773594\t23.120000\n1412774195\t23.250000\n1412774795\t23.310000\n1412775396\t23.310000\n1412775996\t23.250000\n1412776597\t23.250000\n1412777197\t23.380000\n1412777798\t23.500000\n1412778398\t23.620000\n1412778999\t23.620000\n1412779599\t23.560000\n1412780200\t23.560000\n1412780800\t23.620000\n1412781416\t23.620000\n1412782017\t23.620000\n1412782617\t23.560000\n1412783218\t23.620000\n1412783818\t23.620000\n1412784419\t23.620000\n1412785019\t23.620000\n1412785620\t23.690000\n1412786220\t23.750000\n1412786821\t23.810000\n1412787422\t23.810000\n1412788022\t23.750000\n1412788623\t23.810000\n1412789223\t23.810000\n1412789824\t23.810000\n1412790424\t23.810000\n1412791025\t23.810000\n1412791625\t23.750000\n1412792226\t23.690000\n1412792826\t23.620000\n1412793427\t23.620000\n1412794028\t23.620000\n1412794628\t23.620000\n1412795229\t23.690000\n1412795829\t23.690000\n1412796430\t23.690000\n1412797030\t23.690000\n1412797631\t23.750000\n1412798231\t23.750000\n1412798832\t23.810000\n1412799433\t23.810000\n1412800033\t23.810000\n1412800649\t23.750000\n1412801249\t23.810000\n1412801850\t23.810000\n1412802450\t23.810000\n1412803051\t23.810000\n1412803651\t23.880000\n1412804252\t23.880000\n1412804852\t23.880000\n1412805453\t23.880000\n1412806054\t23.880000\n1412806654\t23.880000\n1412807255\t23.940000\n1412807855\t23.940000\n1412808456\t23.940000\n1412809056\t23.940000\n1412809657\t23.940000\n1412810257\t23.940000\n1412810858\t24.000000\n1412811458\t24.000000\n1412812059\t24.000000\n1412812660\t24.000000\n1412813260\t24.000000\n1412813861\t24.000000\n1412814461\t24.000000\n1412815062\t24.000000\n1412815662\t24.000000\n1412816263\t24.000000\n1412816878\t24.000000\n1412817479\t24.000000\n1412818080\t24.000000\n1412818680\t23.940000\n1412819281\t24.000000\n1412819881\t23.940000\n1412820482\t23.940000\n1412821082\t23.940000\n1412821683\t23.880000\n1412822283\t23.940000\n1412822884\t23.940000\n1412823484\t23.880000\n1412824085\t23.940000\n1412824686\t23.940000\n1412825286\t23.940000\n1412825887\t23.940000\n1412826487\t23.940000\n1412827088\t23.940000\n1412827688\t23.940000\n1412828289\t23.940000\n1412828889\t24.000000\n1412829490\t24.000000\n1412830091\t24.000000\n1412830691\t24.000000\n1412831292\t24.000000\n1412831892\t24.060000\n1412832508\t24.000000\n1412833108\t24.060000\n1412833709\t24.060000\n1412834309\t24.060000\n1412834910\t24.060000\n1412835510\t24.060000\n1412836111\t24.000000\n1412836712\t24.000000\n1412837312\t24.000000\n1412837913\t24.000000\n1412838513\t24.000000\n1412839114\t24.000000\n1412839714\t24.060000\n1412840315\t24.060000\n1412840915\t24.060000\n1412841516\t24.060000\n1412842116\t24.060000\n1412842717\t24.120000\n1412843317\t24.120000\n1412843918\t24.120000\n1412844518\t24.120000\n1412845119\t24.120000\n1412845720\t24.190000\n1412846320\t24.190000\n1412846921\t24.190000\n1412847521\t24.120000\n1412848122\t24.120000\n1412848722\t24.190000\n1412849323\t24.120000\n1412849923\t24.120000\n1412850524\t24.190000\n1412851140\t24.190000\n1412851740\t24.120000\n1412852341\t24.190000\n1412852941\t24.190000\n1412853542\t24.250000\n1412854142\t24.190000\n1412854743\t24.250000\n1412855343\t24.250000\n1412855944\t24.250000\n1412856544\t24.310000\n1412857145\t24.310000\n1412857746\t24.310000\n1412858346\t24.380000\n1412858947\t24.440000\n1412859547\t24.380000\n1412860148\t24.380000\n1412860748\t24.380000\n1412861349\t24.310000\n1412861950\t24.250000\n1412862550\t24.250000\n1412863151\t24.310000\n1412863751\t24.380000\n1412864352\t24.440000\n1412864952\t24.440000\n1412865553\t24.500000\n1412866153\t24.440000\n1412866754\t24.440000\n1412867354\t24.500000\n1412867955\t24.500000\n1412868555\t24.500000\n1412869156\t24.500000\n1412869771\t24.560000\n1412870372\t24.500000\n1412870973\t24.560000\n1412871573\t24.560000\n1412872174\t24.560000\n1412872774\t23.380000\n1412873375\t21.690000\n1412873975\t22.690000\n1412874576\t23.380000\n1412875176\t23.750000\n1412875777\t23.940000\n1412876377\t24.060000\n1412876978\t24.120000\n1412877579\t24.190000\n1412878179\t24.250000\n1412878780\t24.310000\n1412879380\t24.310000\n1412879981\t24.380000\n1412880581\t24.380000\n1412881182\t24.440000\n1412881782\t24.380000\n1412882383\t24.440000\n1412882983\t24.440000\n1412883584\t24.440000\n1412884185\t24.500000\n1412884785\t24.500000\n1412885386\t24.500000\n1412885986\t24.560000\n1412886587\t24.620000\n1412887187\t24.560000\n1412887788\t24.560000\n1412888403\t24.560000\n1412889004\t24.560000\n1412889604\t24.560000\n1412890205\t24.560000\n1412890806\t24.620000\n1412891406\t24.620000\n1412892007\t24.560000\n1412892607\t24.560000\n1412893208\t24.620000\n1412893808\t24.620000\n1412894409\t24.620000\n1412895009\t24.620000\n1412895610\t24.560000\n1412896210\t24.620000\n1412896811\t24.620000\n1412897412\t24.620000\n1412898012\t24.620000\n1412898613\t24.620000\n1412899213\t24.620000\n1412899814\t24.620000\n1412900414\t24.690000\n1412901015\t24.690000\n1412901615\t24.620000\n1412902216\t24.690000\n1412902817\t24.690000\n1412903417\t24.690000\n1412904018\t24.690000\n1412904618\t24.690000\n1412905219\t24.750000\n1412905819\t24.750000\n1412906435\t24.750000\n1412907035\t24.690000\n1412907636\t24.750000\n1412908236\t24.750000\n1412908837\t24.810000\n1412909437\t24.810000\n1412910038\t24.810000\n1412910639\t24.810000\n1412911239\t24.810000\n1412911840\t24.810000\n1412912440\t24.810000\n1412913041\t24.810000\n1412913641\t24.810000\n1412914242\t24.880000\n1412914842\t24.810000\n1412915443\t24.810000\n1412916043\t24.810000\n1412916644\t24.750000\n1412917245\t24.810000\n1412917845\t24.810000\n1412918446\t24.750000\n1412919046\t24.690000\n1412919647\t24.620000\n1412920247\t24.560000\n1412920848\t24.560000\n1412921448\t24.560000\n1412922049\t24.560000\n1412922649\t24.500000\n1412923250\t24.500000\n1412923851\t24.380000\n1412924466\t24.380000\n1412925067\t24.380000\n1412925667\t24.440000\n1412926268\t24.380000\n1412926868\t24.380000\n1412927469\t24.380000\n1412928069\t24.380000\n1412928670\t24.380000\n1412929270\t24.440000\n1412929871\t24.440000\n1412930472\t24.380000\n1412931072\t24.380000\n1412931673\t24.380000\n1412932273\t24.440000\n1412932874\t24.440000\n1412933474\t24.380000\n1412934075\t24.380000\n1412934675\t24.380000\n1412935276\t24.310000\n1412935877\t24.380000\n1412936477\t24.250000\n1412937078\t24.190000\n1412937678\t24.190000\n1412938279\t24.120000\n1412938879\t24.190000\n1412939480\t24.250000\n1412940080\t24.060000\n1412940681\t23.940000\n1412941281\t23.940000\n1412941882\t23.880000\n1412942498\t23.880000\n1412943098\t23.940000\n1412943699\t24.120000\n1412944299\t24.060000\n1412944900\t24.120000\n1412945500\t24.120000\n1412946101\t24.120000\n1412946701\t24.060000\n1412947302\t24.250000\n1412947902\t24.310000\n1412948503\t24.250000\n1412949103\t24.310000\n1412949704\t24.310000\n1412950305\t24.310000\n1412950905\t24.310000\n1412951506\t24.310000\n1412952106\t24.380000\n1412952707\t24.440000\n1412953307\t24.380000\n1412953908\t24.380000\n1412954508\t24.440000\n1412955109\t24.500000\n1412955709\t24.440000\n1412956310\t24.440000\n1412956910\t24.500000\n1412957511\t24.500000\n1412958111\t24.440000\n1412958712\t24.500000\n1412959313\t24.310000\n1412959913\t24.380000\n1412960529\t24.500000\n1412961129\t24.500000\n1412961730\t24.500000\n1412962330\t24.560000\n1412962931\t24.500000\n1412963531\t24.560000\n1412964132\t24.560000\n1412964732\t24.620000\n1412965333\t24.620000\n1412965934\t24.620000\n1412966534\t24.620000\n1412967135\t24.620000\n1412967735\t24.620000\n1412968336\t24.620000\n1412968936\t24.620000\n1412969537\t24.560000\n1412970137\t24.560000\n1412970738\t24.560000\n1412971339\t24.620000\n1412971939\t24.620000\n1412972540\t24.620000\n1412973140\t24.620000\n1412973741\t24.620000\n1412974341\t24.690000\n1412974942\t24.690000\n1412975542\t24.620000\n1412976143\t24.690000\n1412976743\t24.690000\n1412977344\t24.690000\n1412977945\t24.620000\n1412978545\t24.690000\n1412979161\t24.690000\n1412979761\t24.690000\n1412980362\t24.690000\n1412980962\t24.690000\n1412981563\t24.620000\n1412982164\t24.620000\n1412982764\t24.620000\n1412983365\t24.620000\n1412983965\t24.560000\n1412984566\t24.500000\n1412985166\t24.440000\n1412985767\t24.500000\n1412986367\t24.500000\n1412986968\t24.560000\n1412987568\t24.560000\n1412988169\t24.620000\n1412988770\t24.560000\n1412989370\t24.500000\n1412989971\t24.500000\n1412990571\t24.620000\n1412991172\t24.620000\n1412991772\t24.690000\n1412992373\t24.620000\n1412992973\t24.690000\n1412993574\t24.620000\n1412994174\t24.620000\n1412994775\t24.690000\n1412995375\t24.690000\n1412995976\t24.690000\n1412996576\t24.690000\n1412997177\t24.620000\n1412997778\t24.560000\n1412998393\t24.440000\n1412998994\t24.310000\n1412999594\t24.380000\n1413000195\t24.440000\n1413000795\t24.440000\n1413001396\t24.560000\n1413001996\t24.560000\n1413002597\t24.620000\n1413003198\t24.620000\n1413003798\t24.620000\n1413004399\t24.690000\n1413004999\t24.690000\n1413005600\t24.690000\n1413006200\t24.690000\n1413006801\t24.750000\n1413007401\t24.620000\n1413008002\t24.690000\n1413008602\t24.690000\n1413009203\t24.690000\n1413009804\t24.620000\n1413010404\t24.690000\n1413011005\t24.690000\n1413011605\t24.690000\n1413012206\t24.690000\n1413012806\t24.690000\n1413013407\t24.620000\n1413014007\t24.690000\n1413014608\t24.690000\n1413015209\t24.690000\n1413015809\t24.620000\n1413016410\t24.620000\n1413017025\t24.690000\n1413017626\t24.620000\n1413018226\t24.690000\n1413018827\t24.690000\n1413019427\t24.690000\n1413020028\t24.690000\n1413020629\t24.750000\n1413021229\t24.690000\n1413021830\t24.690000\n1413022430\t24.620000\n1413023031\t24.620000\n1413023631\t24.620000\n1413024232\t24.560000\n1413024832\t24.560000\n1413025433\t24.560000\n1413026033\t24.690000\n1413026634\t24.690000\n1413027235\t24.750000\n1413027835\t24.750000\n1413028436\t24.750000\n1413029036\t24.690000\n1413029637\t24.750000\n1413030237\t24.750000\n1413030838\t24.810000\n1413031438\t24.750000\n1413032039\t24.000000\n1413032639\t22.310000\n1413033240\t21.560000\n1413033841\t21.190000\n1413034441\t22.000000\n1413035042\t22.940000\n1413035657\t23.440000\n1413036258\t23.810000\n1413036858\t23.810000\n1413037459\t24.060000\n1413038059\t24.250000\n1413038660\t24.380000\n1413039261\t24.440000\n1413039861\t24.560000\n1413040462\t24.560000\n1413041062\t24.560000\n1413041663\t24.620000\n1413042263\t24.620000\n1413042864\t24.690000\n1413043464\t24.690000\n1413044065\t24.690000\n1413044666\t24.750000\n1413045266\t24.750000\n1413045867\t24.750000\n1413046467\t24.750000\n1413047068\t24.750000\n1413047668\t24.750000\n1413048269\t24.810000\n1413048869\t24.750000\n1413049470\t24.750000\n1413050071\t24.690000\n1413050671\t24.750000\n1413051272\t24.750000\n1413051872\t24.750000\n1413052473\t24.750000\n1413053073\t24.750000\n1413053689\t24.810000\n1413054289\t24.810000\n1413054890\t24.810000\n1413055490\t24.810000\n1413056091\t24.810000\n1413056692\t24.810000\n1413057292\t24.750000\n1413057893\t24.750000\n1413058493\t24.810000\n1413059094\t24.810000\n1413059694\t24.810000\n1413060295\t24.810000\n1413060895\t24.810000\n1413061496\t24.810000\n1413062096\t24.810000\n1413062697\t24.750000\n1413063298\t24.750000\n1413063898\t24.750000\n1413064499\t24.810000\n1413065099\t24.750000\n1413065700\t24.750000\n1413066300\t24.810000\n1413066901\t24.810000\n1413067501\t24.810000\n1413068102\t24.810000\n1413068702\t24.810000\n1413069303\t24.880000\n1413069903\t24.810000\n1413070504\t24.880000\n1413071105\t24.810000\n1413071705\t24.810000\n1413072306\t24.880000\n1413072906\t24.810000\n1413073507\t24.810000\n1413074107\t24.810000\n1413074708\t24.810000\n1413075323\t24.810000\n1413075924\t24.810000\n1413076525\t24.750000\n1413077125\t24.750000\n1413077726\t24.750000\n1413078326\t24.750000\n1413078927\t24.750000\n1413079527\t24.750000\n1413080128\t24.690000\n1413080728\t24.690000\n1413081329\t24.620000\n1413081929\t24.690000\n1413082530\t24.690000\n1413083130\t24.690000\n1413083731\t24.690000\n1413084332\t24.750000\n1413084932\t24.690000\n1413085533\t24.690000\n1413086133\t24.750000\n1413086734\t24.690000\n1413087334\t24.690000\n1413087935\t24.690000\n1413088535\t24.690000\n1413089136\t24.690000\n1413089736\t24.690000\n1413090337\t24.750000\n1413090938\t24.690000\n1413091538\t24.690000\n1413092139\t24.750000\n1413092739\t24.690000\n1413093340\t24.690000\n1413093940\t24.690000\n1413094541\t24.690000\n1413095141\t24.750000\n1413095757\t24.750000\n1413096357\t24.690000\n1413096958\t24.750000\n1413097558\t24.750000\n1413098159\t24.750000\n1413098760\t24.690000\n1413099360\t24.690000\n1413099961\t24.690000\n1413100561\t24.690000\n1413101162\t24.620000\n1413101762\t24.620000\n1413102363\t24.690000\n1413102963\t24.690000\n1413103564\t24.690000\n1413104164\t24.620000\n1413104765\t24.690000\n1413105366\t24.620000\n1413105966\t24.690000\n1413106567\t24.690000\n1413107167\t24.690000\n1413107768\t24.690000\n1413108368\t24.690000\n1413108969\t24.690000\n1413109569\t24.690000\n1413110170\t24.690000\n1413110770\t24.690000\n1413111371\t24.690000\n1413111972\t24.690000\n1413112572\t24.690000\n1413113173\t24.750000\n1413113773\t24.690000\n1413114389\t24.690000\n1413114989\t24.750000\n1413115590\t24.750000\n1413116190\t24.750000\n1413116791\t24.750000\n1413117391\t24.620000\n1413117992\t24.690000\n1413118593\t24.750000\n1413119193\t24.810000\n1413119794\t24.810000\n1413120394\t24.880000\n1413120995\t24.810000\n1413121595\t24.880000\n1413122196\t24.880000\n1413122796\t24.810000\n1413123397\t24.880000\n1413123997\t24.880000\n1413124598\t24.940000\n1413125199\t24.880000\n1413125799\t24.880000\n1413126400\t24.880000\n1413127000\t24.880000\n1413127601\t24.880000\n1413128201\t24.880000\n1413128802\t24.880000\n1413129402\t24.880000\n1413130003\t24.810000\n1413130604\t24.880000\n1413131204\t24.880000\n1413131805\t24.880000\n1413132405\t24.940000\n1413133006\t24.880000\n1413133621\t24.940000\n1413134222\t24.940000\n1413134822\t24.940000\n1413135423\t24.940000\n1413136023\t24.940000\n1413136624\t24.880000\n1413137224\t24.940000\n1413137825\t24.940000\n1413138426\t24.940000\n1413139026\t24.940000\n1413139627\t24.940000\n1413140227\t24.940000\n1413140828\t24.940000\n1413141428\t24.880000\n1413142029\t24.880000\n1413142629\t24.880000\n1413143230\t24.880000\n1413143830\t24.880000\n1413144431\t24.880000\n1413145032\t24.880000\n1413145632\t24.940000\n1413146233\t24.940000\n1413146833\t24.940000\n1413147434\t24.940000\n1413148034\t24.880000\n1413148635\t24.880000\n1413149235\t24.940000\n1413149836\t24.940000\n1413150437\t24.940000\n1413151037\t24.940000\n1413151638\t25.000000\n1413152253\t24.940000\n1413152854\t25.000000\n1413153454\t25.000000\n1413154055\t25.000000\n1413154655\t25.000000\n1413155256\t25.000000\n1413155856\t25.000000\n1413156457\t25.060000\n1413157057\t25.060000\n1413157658\t25.060000\n1413158258\t25.060000\n1413158859\t25.060000\n1413159459\t25.060000\n1413160060\t25.060000\n1413160661\t25.060000\n1413161261\t25.060000\n1413161862\t25.060000\n1413162462\t25.060000\n1413163063\t25.060000\n1413163663\t25.060000\n1413164264\t25.060000\n1413164864\t25.060000\n1413165465\t25.000000\n1413166065\t25.000000\n1413166666\t25.000000\n1413167266\t25.000000\n1413167867\t25.000000\n1413168467\t25.000000\n1413169068\t25.000000\n1413169684\t24.940000\n1413170284\t25.000000\n1413170885\t24.940000\n1413171485\t24.940000\n1413172086\t25.000000\n1413172686\t24.940000\n1413173287\t24.940000\n1413173887\t24.940000\n1413174488\t24.940000\n1413175088\t24.940000\n1413175689\t24.940000\n1413176290\t25.000000\n1413176890\t25.000000\n1413177491\t25.000000\n1413178091\t25.000000\n1413178692\t25.000000\n1413179292\t25.000000\n1413179893\t25.000000\n1413180493\t25.000000\n1413181094\t25.000000\n1413181694\t25.000000\n1413182295\t25.000000\n1413182896\t25.000000\n1413183496\t25.000000\n1413184097\t25.000000\n1413184697\t25.000000\n1413185298\t25.000000\n1413185898\t25.000000\n1413186499\t25.000000\n1413187100\t25.000000\n1413187700\t25.000000\n1413188301\t25.000000\n1413188916\t25.000000\n1413189517\t25.000000\n1413190117\t25.000000\n1413190718\t25.000000\n1413191319\t25.000000\n1413191919\t25.000000\n1413192520\t25.000000\n1413193120\t25.000000\n1413193721\t25.000000\n1413194321\t25.000000\n1413194922\t25.000000\n1413195522\t25.000000\n1413196123\t25.000000\n1413196724\t24.940000\n1413197324\t24.940000\n1413197925\t25.000000\n1413198525\t25.000000\n1413199126\t25.060000\n1413199726\t25.000000\n1413200327\t25.000000\n1413200927\t24.940000\n1413201528\t25.000000\n1413202128\t25.000000\n1413202729\t25.000000\n1413203330\t25.000000\n1413203930\t25.000000\n1413204531\t25.000000\n1413205131\t25.000000\n1413205732\t25.000000\n1413206332\t25.000000\n1413206948\t25.060000\n1413207548\t25.060000\n1413208149\t25.060000\n1413208750\t25.060000\n1413209350\t25.060000\n1413209951\t25.060000\n1413210551\t25.060000\n1413211152\t25.060000\n1413211752\t25.060000\n1413212353\t25.060000\n1413212953\t25.060000\n1413213554\t25.060000\n1413214154\t25.000000\n1413214755\t25.000000\n1413215355\t25.000000\n1413215956\t25.060000\n1413216557\t25.060000\n1413217157\t25.000000\n1413217758\t25.000000\n1413218358\t25.000000\n1413218959\t25.000000\n1413219559\t24.940000\n1413220160\t24.940000\n1413220760\t24.940000\n1413221361\t24.880000\n1413221961\t24.880000\n1413222562\t24.880000\n1413223163\t24.880000\n1413223763\t24.880000\n1413224364\t24.880000\n1413224964\t24.880000\n1413225580\t24.880000\n1413226180\t24.880000\n1413226781\t24.810000\n1413227381\t24.810000\n1413227982\t24.880000\n1413228582\t24.810000\n1413229183\t24.810000\n1413229784\t24.810000\n1413230384\t24.810000\n1413230985\t24.810000\n1413231585\t24.810000\n1413232186\t24.810000\n1413232786\t24.810000\n1413233387\t24.810000\n1413233987\t24.810000\n1413234588\t24.810000\n1413235188\t24.810000\n1413235789\t24.810000\n1413236390\t24.810000\n1413236990\t24.810000\n1413237591\t24.880000\n1413238191\t24.810000\n1413238792\t24.810000\n1413239392\t24.880000\n1413239993\t24.880000\n1413240593\t24.810000\n1413241194\t24.880000\n1413241794\t24.880000\n1413242395\t24.880000\n1413242995\t24.810000\n1413243596\t24.810000\n1413244212\t24.880000\n1413244812\t24.810000\n1413245413\t24.810000\n1413246013\t24.880000\n1413246614\t24.880000\n1413247214\t24.880000\n1413247815\t24.880000\n1413248415\t24.880000\n1413249016\t24.810000\n1413249616\t24.810000\n1413250217\t24.810000\n1413250818\t24.750000\n1413251418\t24.810000\n1413252019\t24.750000\n1413252619\t24.750000\n1413253220\t24.750000\n1413253820\t24.810000\n1413254421\t24.810000\n1413255021\t24.810000\n1413255622\t24.750000\n1413256223\t24.750000\n1413256823\t24.750000\n1413257424\t24.750000\n1413258024\t24.750000\n1413258625\t24.810000\n1413259225\t24.750000\n1413259826\t24.750000\n1413260426\t24.810000\n1413261042\t24.810000\n1413261642\t24.810000\n1413262243\t24.810000\n1413262843\t24.810000\n1413263444\t24.810000\n1413264045\t24.750000\n1413264645\t24.750000\n1413265246\t24.750000\n1413265846\t24.690000\n1413266447\t24.690000\n1413267047\t24.690000\n1413267648\t24.690000\n1413268248\t24.620000\n1413268849\t24.690000\n1413269450\t24.690000\n1413270050\t24.690000\n1413270651\t24.690000\n1413271251\t24.690000\n1413271852\t24.690000\n1413272452\t24.690000\n1413273053\t24.690000\n1413273653\t24.690000\n1413274254\t24.690000\n1413274855\t24.690000\n1413275455\t24.690000\n1413276056\t24.690000\n1413276671\t24.620000\n1413277272\t24.560000\n1413277872\t24.560000\n1413278473\t24.560000\n1413279073\t24.560000\n1413279674\t24.620000\n1413280275\t24.620000\n1413280875\t24.620000\n1413281476\t24.560000\n1413282076\t24.560000\n1413282677\t24.560000\n1413283277\t24.560000\n1413283878\t24.620000\n1413284478\t24.620000\n1413285079\t24.620000\n1413285679\t24.620000\n1413286280\t24.620000\n1413286881\t24.620000\n1413287481\t24.690000\n1413288082\t24.690000\n1413288682\t24.690000\n1413289283\t24.690000\n1413289883\t24.690000\n1413290484\t24.690000\n1413291084\t24.690000\n1413291685\t24.620000\n1413292285\t24.690000\n1413292886\t24.620000\n1413293487\t24.690000\n1413294087\t24.690000\n1413294688\t24.690000\n1413295288\t24.690000\n1413295904\t24.690000\n1413296504\t24.690000\n1413297105\t24.620000\n1413297705\t24.620000\n1413298306\t24.620000\n1413298906\t24.620000\n1413299507\t24.620000\n1413300108\t24.620000\n1413300708\t24.620000\n1413301309\t24.620000\n1413301909\t24.620000\n1413302510\t24.620000\n1413303110\t24.560000\n1413303711\t24.560000\n1413304311\t24.560000\n1413304912\t24.560000\n1413305513\t24.560000\n1413306113\t24.560000\n1413306714\t24.500000\n1413307314\t24.500000\n1413307915\t24.500000\n1413308515\t24.500000\n1413309116\t24.500000\n1413309716\t24.560000\n1413310317\t24.560000\n1413310917\t24.500000\n1413311518\t24.500000\n1413312118\t24.440000\n1413312719\t24.440000\n1413313320\t24.380000\n1413313920\t24.380000\n1413314536\t24.440000\n1413315136\t24.440000\n1413315737\t24.440000\n1413316337\t24.440000\n1413316938\t24.440000\n1413317538\t24.440000\n1413318139\t24.500000\n1413318740\t24.500000\n1413319340\t24.500000\n1413319941\t24.500000\n1413320541\t24.560000\n1413321142\t24.560000\n1413321742\t24.500000\n1413322343\t24.500000\n1413322943\t24.500000\n1413323544\t24.440000\n1413324145\t24.500000\n1413324745\t24.500000\n1413325346\t24.500000\n1413325946\t24.500000\n1413326547\t24.500000\n1413327147\t24.440000\n1413327748\t24.380000\n1413328348\t24.440000\n1413328949\t24.440000\n1413329549\t24.440000\n1413330150\t24.440000\n1413330751\t24.440000\n1413331351\t24.440000\n1413331952\t24.500000\n1413332552\t24.440000\n1413333153\t24.440000\n1413333768\t24.500000\n1413334369\t24.500000\n1413334969\t24.500000\n1413335570\t24.500000\n1413336170\t24.440000\n1413336771\t24.440000\n1413337371\t24.440000\n1413337972\t24.440000\n1413338573\t24.440000\n1413339173\t24.440000\n1413339774\t24.440000\n1413340374\t24.440000\n1413340975\t24.440000\n1413341575\t24.440000\n1413342176\t24.440000\n1413342776\t24.440000\n1413343377\t24.380000\n1413343977\t24.380000\n1413344578\t24.380000\n1413345179\t24.380000\n1413345779\t24.380000\n1413346380\t24.380000\n1413346980\t24.380000\n1413347581\t24.310000\n1413348181\t24.310000\n1413348782\t24.310000\n1413349382\t24.310000\n1413349983\t24.310000\n1413350583\t24.250000\n1413351184\t24.250000\n1413351785\t24.190000\n1413352400\t24.120000\n1413353001\t24.120000\n1413353601\t24.120000\n1413354202\t24.120000\n1413354802\t24.190000\n1413355403\t24.190000\n1413356003\t24.060000\n1413356604\t24.060000\n1413357204\t24.060000\n1413357805\t24.000000\n1413358406\t24.060000\n1413359006\t23.940000\n1413359607\t23.940000\n1413360207\t23.880000\n1413360808\t23.880000\n1413361408\t23.880000\n1413362009\t23.880000\n1413362609\t23.810000\n1413363210\t23.750000\n1413363810\t23.500000\n1413364411\t23.500000\n1413365011\t23.500000\n1413365612\t23.560000\n1413366213\t23.620000\n1413366813\t23.560000\n1413367414\t23.500000\n1413368014\t23.440000\n1413368615\t23.380000\n1413369215\t23.310000\n1413369816\t23.380000\n1413370417\t23.380000\n1413371017\t23.310000\n1413371633\t23.250000\n1413372233\t23.250000\n1413372834\t23.310000\n1413373434\t23.310000\n1413374035\t23.310000\n1413374635\t23.310000\n1413375236\t23.310000\n1413375837\t23.310000\n1413376437\t23.310000\n1413377038\t23.310000\n1413377638\t23.250000\n1413378239\t23.190000\n1413378839\t23.190000\n1413379440\t23.250000\n1413380040\t23.190000\n1413380641\t23.190000\n1413381241\t23.190000\n1413381842\t23.250000\n1413382442\t23.380000\n1413383043\t23.440000\n1413383644\t23.440000\n1413384244\t23.440000\n1413384845\t23.380000\n1413385445\t23.380000\n1413386046\t23.380000\n1413386646\t23.310000\n1413387247\t23.380000\n1413387847\t23.380000\n1413388448\t23.380000\n1413389048\t23.380000\n1413389649\t23.310000\n1413390265\t23.310000\n1413390865\t23.190000\n1413391466\t23.120000\n1413392066\t23.120000\n1413392667\t23.190000\n1413393267\t23.120000\n1413393868\t23.000000\n1413394468\t22.690000\n1413395069\t22.750000\n1413395670\t22.810000\n1413396270\t22.810000\n1413396871\t22.880000\n1413397471\t22.880000\n1413398072\t22.880000\n1413398672\t22.880000\n1413399273\t22.880000\n1413399873\t22.940000\n1413400474\t22.880000\n1413401074\t22.880000\n1413401675\t22.880000\n1413402276\t22.940000\n1413402876\t22.940000\n1413403477\t22.940000\n1413404077\t22.880000\n1413404678\t22.880000\n1413405278\t22.880000\n1413405879\t22.810000\n1413406479\t22.750000\n1413407080\t22.750000\n1413407681\t22.690000\n1413408281\t22.690000\n1413408882\t22.690000\n1413409497\t22.690000\n1413410098\t22.690000\n1413410698\t22.690000\n1413411299\t22.690000\n1413411899\t22.690000\n1413412500\t22.690000\n1413413101\t22.690000\n1413413701\t22.690000\n1413414302\t22.690000\n1413414902\t22.690000\n1413415503\t22.750000\n1413416103\t22.750000\n1413416704\t22.750000\n1413417304\t22.690000\n1413417905\t22.750000\n1413418506\t22.690000\n1413419106\t22.620000\n1413419707\t22.620000\n1413420307\t22.560000\n1413420908\t22.560000\n1413421508\t22.560000\n1413422109\t22.560000\n1413422709\t22.560000\n1413423310\t22.500000\n1413423911\t22.440000\n1413424511\t22.440000\n1413425112\t22.440000\n1413425712\t22.440000\n1413426313\t22.440000\n1413426913\t22.500000\n1413427529\t22.440000\n1413428129\t22.440000\n1413428730\t22.440000\n1413429330\t22.500000\n1413429931\t22.560000\n1413430532\t22.560000\n1413431132\t22.500000\n1413431733\t22.500000\n1413432333\t22.500000\n1413432934\t22.500000\n1413433534\t22.500000\n1413434135\t22.500000\n1413434735\t22.440000\n1413435336\t22.440000\n1413435936\t22.440000\n1413436537\t22.380000\n1413437138\t22.380000\n1413437738\t22.380000\n1413438339\t22.380000\n1413438939\t22.440000\n1413439540\t22.440000\n1413440140\t22.440000\n1413440741\t22.380000\n1413441356\t22.440000\n1413441957\t22.440000\n1413442558\t22.440000\n1413443158\t22.380000\n1413443759\t22.380000\n1413444359\t22.310000\n1413444960\t22.310000\n1413445560\t22.310000\n1413446161\t22.250000\n1413446761\t22.190000\n1413447362\t22.190000\n1413447962\t22.120000\n1413448563\t22.120000\n1413449163\t22.060000\n1413449764\t22.000000\n1413450364\t22.000000\n1413450965\t22.000000\n1413451566\t22.000000\n1413452166\t22.000000\n1413452767\t22.000000\n1413453367\t22.000000\n1413453968\t22.000000\n1413454568\t22.000000\n1413455169\t22.000000\n1413455770\t22.000000\n1413456370\t22.060000\n1413456971\t22.060000\n1413457571\t22.060000\n1413458172\t22.000000\n1413458772\t22.000000\n1413459373\t22.000000\n1413459973\t22.060000\n1413460574\t22.060000\n1413461175\t22.120000\n1413461775\t22.060000\n1413462376\t22.000000\n1413462976\t22.000000\n1413463592\t21.560000\n1413464192\t21.810000\n1413464793\t21.250000\n1413465393\t21.560000\n1413465994\t21.620000\n1413466594\t21.750000\n1413467195\t21.750000\n1413467795\t21.810000\n1413468396\t21.810000\n1413468996\t21.880000\n1413469597\t21.880000\n1413470198\t21.880000\n1413470798\t21.810000\n1413471399\t21.810000\n1413471999\t21.810000\n1413472600\t21.880000\n1413473200\t21.880000\n1413473801\t21.880000\n1413474401\t21.940000\n1413475002\t21.880000\n1413475602\t21.880000\n1413476203\t21.880000\n1413476804\t21.880000\n1413477404\t21.620000\n1413478005\t21.750000\n1413478605\t21.810000\n1413479206\t21.810000\n1413479806\t21.810000\n1413480407\t21.750000\n1413481007\t21.690000\n1413481608\t21.750000\n1413482223\t21.750000\n1413482824\t21.690000\n1413483424\t21.690000\n1413484025\t21.690000\n1413484625\t21.620000\n1413485226\t21.560000\n1413485827\t21.560000\n1413486427\t21.620000\n1413487028\t21.620000\n1413487628\t21.560000\n1413488229\t21.560000\n1413488829\t21.560000\n1413489430\t21.560000\n1413490030\t21.560000\n1413490631\t21.620000\n1413491231\t21.620000\n1413491832\t21.690000\n1413492432\t21.690000\n1413493033\t21.690000\n1413493634\t21.690000\n1413494234\t21.690000\n1413494835\t21.690000\n1413495435\t21.620000\n1413496036\t21.690000\n1413496636\t21.690000\n1413497237\t21.690000\n1413497837\t21.750000\n1413498453\t21.750000\n1413499054\t21.750000\n1413499654\t21.750000\n1413500255\t21.810000\n1413500855\t21.810000\n1413501456\t21.880000\n1413502056\t21.880000\n1413502657\t21.880000\n1413503257\t21.880000\n1413503858\t21.880000\n1413504458\t21.880000\n1413505059\t21.880000\n1413505659\t21.810000\n1413506260\t21.750000\n1413506861\t21.690000\n1413507461\t21.620000\n1413508062\t21.620000\n1413508662\t21.690000\n1413509263\t21.690000\n1413509863\t21.690000\n1413510464\t21.690000\n1413511064\t21.690000\n1413511665\t21.690000\n1413512265\t21.690000\n1413512866\t21.750000\n1413513466\t21.750000\n1413514067\t21.750000\n1413514667\t21.750000\n1413515268\t21.750000\n1413515868\t21.750000\n1413516484\t21.750000\n1413517085\t21.750000\n1413517685\t21.690000\n1413518286\t21.690000\n1413518886\t21.690000\n1413519487\t21.690000\n1413520087\t21.690000\n1413520688\t21.690000\n1413521288\t21.690000\n1413521889\t21.690000\n1413522489\t21.690000\n1413523090\t21.690000\n1413523691\t21.620000\n1413524291\t21.620000\n1413524892\t21.620000\n1413525492\t21.620000\n1413526093\t21.620000\n1413526693\t21.560000\n1413527294\t21.560000\n1413527895\t21.560000\n1413528495\t21.500000\n1413529096\t21.500000\n1413529696\t21.440000\n1413530297\t21.440000\n1413530897\t21.380000\n1413531498\t21.380000\n1413532098\t21.310000\n1413532699\t21.380000\n1413533299\t21.380000\n1413533900\t21.380000\n1413534501\t21.440000\n1413535101\t21.380000\n1413535717\t21.440000\n1413536317\t21.380000\n1413536918\t21.380000\n1413537518\t21.380000\n1413538119\t21.440000\n1413538719\t21.500000\n1413539320\t21.500000\n1413539921\t21.500000\n1413540521\t21.500000\n1413541122\t21.440000\n1413541722\t21.440000\n1413542323\t21.440000\n1413542923\t21.440000\n1413543524\t21.440000\n1413544124\t21.380000\n1413544725\t21.380000\n1413545325\t21.380000\n1413545926\t21.380000\n1413546526\t21.440000\n1413547127\t21.500000\n1413547727\t21.560000\n1413548328\t21.500000\n1413548929\t21.440000\n1413549529\t21.440000\n1413550130\t21.440000\n1413550730\t21.440000\n1413551346\t21.440000\n1413551946\t21.500000\n1413552547\t21.560000\n1413553147\t21.560000\n1413553748\t21.560000\n1413554348\t21.560000\n1413554949\t21.560000\n1413555549\t21.620000\n1413556150\t21.620000\n1413556751\t21.620000\n1413557351\t21.690000\n1413557952\t21.690000\n1413558552\t21.750000\n1413559153\t21.690000\n1413559753\t21.750000\n1413560354\t21.750000\n1413560954\t21.750000\n1413561555\t21.750000\n1413562155\t21.750000\n1413562756\t21.750000\n1413563357\t21.750000\n1413563957\t21.750000\n1413564558\t21.750000\n1413565158\t21.750000\n1413565759\t21.750000\n1413566359\t21.750000\n1413566960\t21.750000\n1413567560\t21.750000\n1413568161\t21.810000\n1413568761\t21.810000\n1413569362\t21.810000\n1413569963\t21.810000\n1413570578\t21.810000\n1413571179\t21.810000\n1413571779\t21.810000\n1413572380\t21.810000\n1413572980\t21.810000\n1413573581\t21.810000\n1413574181\t21.810000\n1413574782\t21.810000\n1413575383\t21.810000\n1413575983\t21.810000\n1413576584\t21.810000\n1413577184\t21.810000\n1413577785\t21.880000\n1413578385\t21.880000\n1413578986\t21.810000\n1413579586\t21.810000\n1413580187\t21.750000\n1413580787\t21.810000\n1413581388\t21.810000\n1413581989\t21.810000\n1413582589\t21.810000\n1413583190\t21.810000\n1413583790\t21.810000\n1413584391\t21.810000\n1413584991\t21.810000\n1413585592\t21.810000\n1413586192\t21.810000\n1413586808\t21.810000\n1413587408\t21.750000\n1413588009\t21.750000\n1413588609\t21.750000\n1413589210\t21.750000\n1413589810\t21.750000\n1413590411\t21.750000\n1413591012\t21.750000\n1413591612\t21.750000\n1413592213\t21.750000\n1413592813\t21.750000\n1413593414\t21.750000\n1413594014\t21.690000\n1413594615\t21.690000\n1413595215\t21.620000\n1413595816\t21.620000\n1413596417\t21.620000\n1413597017\t21.620000\n1413597618\t21.620000\n1413598218\t21.560000\n1413598819\t21.560000\n1413599419\t21.560000\n1413600020\t21.560000\n1413600620\t21.500000\n1413601221\t21.560000\n1413601821\t21.500000\n1413602422\t21.560000\n1413603023\t21.560000\n1413603623\t21.560000\n1413604224\t21.560000\n1413604839\t21.560000\n1413605440\t21.560000\n1413606040\t21.560000\n1413606641\t21.560000\n1413607241\t21.500000\n1413607842\t21.440000\n1413608442\t21.500000\n1413609043\t21.500000\n1413609643\t21.500000\n1413610244\t21.500000\n1413610844\t21.440000\n1413611445\t21.440000\n1413612046\t21.440000\n1413612646\t21.440000\n1413613247\t21.380000\n1413613847\t21.440000\n1413614448\t21.440000\n1413615048\t21.440000\n1413615649\t21.440000\n1413616249\t21.440000\n1413616850\t21.440000\n1413617450\t21.500000\n1413618051\t21.500000\n1413618652\t21.440000\n1413619252\t21.440000\n1413619853\t21.440000\n1413620453\t21.440000\n1413621054\t21.440000\n1413621654\t21.440000\n1413622270\t21.440000\n1413622870\t21.440000\n1413623471\t21.440000\n1413624071\t21.380000\n1413624672\t21.380000\n1413625272\t21.380000\n1413625873\t21.380000\n1413626474\t21.310000\n1413627074\t21.250000\n1413627675\t21.310000\n1413628275\t21.190000\n1413628876\t21.190000\n1413629476\t21.190000\n1413630077\t21.190000\n1413630677\t21.190000\n1413631278\t21.190000\n1413631878\t21.250000\n1413632479\t21.250000\n1413633079\t21.310000\n1413633680\t21.380000\n1413634281\t21.310000\n1413634881\t21.310000\n1413635482\t21.310000\n1413636082\t21.250000\n1413636683\t21.190000\n1413637283\t21.250000\n1413637884\t21.250000\n1413638484\t21.310000\n1413639085\t21.250000\n1413639686\t21.310000\n1413640286\t21.250000\n1413640902\t21.250000\n1413641502\t21.190000\n1413642103\t21.190000\n1413642703\t21.190000\n1413643304\t21.120000\n1413643905\t21.120000\n1413644505\t21.000000\n1413645106\t20.940000\n1413645706\t20.940000\n1413646307\t21.000000\n1413646907\t21.060000\n1413647508\t21.120000\n1413648108\t21.120000\n1413648709\t21.120000\n1413649309\t21.120000\n1413649910\t21.190000\n1413650511\t21.120000\n1413651111\t21.190000\n1413651712\t21.190000\n1413652312\t21.250000\n1413652913\t21.250000\n1413653513\t21.310000\n1413654114\t21.310000\n1413654714\t21.250000\n1413655315\t21.250000\n1413655915\t21.190000\n1413656516\t21.250000\n1413657116\t21.250000\n1413657717\t21.190000\n1413658318\t21.190000\n1413658933\t21.120000\n1413659534\t21.120000\n1413660134\t21.060000\n1413660735\t20.880000\n1413661335\t20.940000\n1413661936\t20.940000\n1413662536\t21.000000\n1413663137\t21.000000\n1413663737\t20.810000\n1413664338\t20.690000\n1413664938\t20.750000\n1413665539\t20.620000\n1413666140\t20.750000\n1413666740\t20.690000\n1413667341\t20.690000\n1413667941\t20.750000\n1413668542\t20.750000\n1413669142\t20.750000\n1413669743\t20.750000\n1413670343\t20.690000\n1413670944\t20.690000\n1413671544\t20.810000\n1413672145\t20.810000\n1413672745\t20.940000\n1413673346\t20.880000\n1413673946\t20.940000\n1413674547\t21.000000\n1413675148\t21.060000\n1413675748\t21.060000\n1413676349\t20.940000\n1413676964\t20.940000\n1413677565\t21.000000\n1413678165\t20.940000\n1413678766\t20.880000\n1413679366\t20.810000\n1413679967\t20.880000\n1413680568\t20.940000\n1413681168\t20.940000\n1413681769\t20.940000\n1413682369\t20.940000\n1413682970\t20.940000\n1413683570\t21.000000\n1413684171\t20.940000\n1413684771\t21.060000\n1413685372\t21.060000\n1413685973\t21.000000\n1413686573\t21.190000\n1413687174\t21.250000\n1413687774\t21.250000\n1413688375\t21.190000\n1413688975\t21.190000\n1413689576\t21.190000\n1413690176\t21.060000\n1413690777\t21.120000\n1413691378\t21.190000\n1413691978\t21.250000\n1413692579\t21.120000\n1413693179\t21.250000\n1413693780\t21.250000\n1413694380\t21.250000\n1413694981\t21.250000\n1413695596\t21.310000\n1413696197\t21.380000\n1413696798\t21.310000\n1413697398\t21.250000\n1413697999\t21.380000\n1413698599\t21.500000\n1413699200\t21.500000\n1413699800\t21.500000\n1413700401\t21.440000\n1413701001\t21.440000\n1413701602\t21.560000\n1413702202\t21.500000\n1413702803\t21.560000\n1413703404\t21.560000\n1413704004\t21.500000\n1413704605\t21.560000\n1413705205\t21.560000\n1413705806\t21.560000\n1413706406\t21.560000\n1413707007\t21.620000\n1413707607\t21.620000\n1413708208\t21.690000\n1413708808\t21.690000\n1413709409\t21.690000\n1413710009\t21.690000\n1413710610\t21.690000\n1413711211\t21.690000\n1413711811\t21.690000\n1413712412\t21.690000\n1413713012\t21.750000\n1413713613\t21.750000\n1413714213\t21.810000\n1413714829\t21.880000\n1413715429\t21.880000\n1413716030\t21.940000\n1413716631\t21.940000\n1413717231\t22.000000\n1413717832\t22.000000\n1413718432\t22.000000\n1413719033\t22.060000\n1413719633\t22.060000\n1413720234\t22.060000\n1413720834\t22.120000\n1413721435\t22.120000\n1413722035\t22.120000\n1413722636\t22.120000\n1413723237\t22.190000\n1413723837\t22.250000\n1413724438\t22.250000\n1413725038\t22.250000\n1413725639\t22.310000\n1413726239\t22.250000\n1413726840\t22.310000\n1413727440\t22.310000\n1413728041\t22.310000\n1413728641\t22.380000\n1413729242\t22.440000\n1413729842\t22.440000\n1413730443\t22.380000\n1413731044\t22.380000\n1413731644\t22.380000\n1413732245\t22.310000\n1413732845\t22.500000\n1413733461\t22.560000\n1413734061\t22.560000\n1413734662\t22.620000\n1413735262\t22.620000\n1413735863\t22.620000\n1413736463\t22.620000\n1413737064\t22.690000\n1413737665\t22.750000\n1413738265\t22.750000\n1413738866\t22.750000\n1413739466\t22.750000\n1413740067\t22.750000\n1413740667\t22.750000\n1413741268\t22.750000\n1413741868\t22.750000\n1413742469\t22.750000\n1413743069\t22.810000\n1413743670\t22.750000\n1413744270\t22.810000\n1413744871\t22.810000\n1413745471\t22.880000\n1413746072\t22.880000\n1413746672\t22.880000\n1413747273\t22.880000\n1413747874\t22.880000\n1413748474\t22.880000\n1413749075\t22.880000\n1413749675\t22.880000\n1413750291\t22.880000\n1413750891\t22.880000\n1413751492\t22.880000\n1413752092\t22.880000\n1413752693\t22.940000\n1413753294\t22.940000\n1413753894\t22.940000\n1413754495\t22.940000\n1413755095\t22.940000\n1413755696\t23.000000\n1413756296\t23.060000\n1413756897\t23.000000\n1413757497\t23.060000\n1413758098\t23.060000\n1413758698\t23.120000\n1413759299\t23.120000\n1413759899\t23.060000\n1413760500\t23.120000\n1413761100\t23.120000\n1413761701\t23.120000\n1413762301\t23.190000\n1413762902\t23.190000\n1413763503\t23.120000\n1413764103\t23.120000\n1413764704\t23.120000\n1413765304\t23.120000\n1413765905\t23.120000\n1413766505\t23.120000\n1413767106\t23.190000\n1413767706\t23.120000\n1413768307\t23.120000\n1413768923\t23.120000\n1413769523\t23.060000\n1413770124\t23.120000\n1413770724\t23.120000\n1413771325\t23.120000\n1413771925\t23.190000\n1413772526\t23.190000\n1413773126\t23.250000\n1413773727\t23.250000\n1413774327\t23.190000\n1413774928\t23.250000\n1413775528\t23.250000\n1413776129\t23.250000\n1413776730\t23.310000\n1413777330\t23.310000\n1413777931\t23.310000\n1413778531\t23.380000\n1413779132\t23.440000\n1413779732\t23.440000\n1413780333\t23.440000\n1413780933\t23.440000\n1413781534\t23.440000\n1413782134\t23.440000\n1413782735\t23.440000\n1413783336\t23.440000\n1413783936\t23.440000\n1413784537\t23.500000\n1413785137\t23.560000\n1413785738\t23.560000\n1413786338\t23.560000\n1413786954\t23.560000\n1413787554\t23.620000\n1413788155\t23.620000\n1413788755\t23.690000\n1413789356\t23.620000\n1413789956\t23.690000\n1413790557\t23.690000\n1413791158\t23.690000\n1413791758\t23.620000\n1413792359\t23.620000\n1413792959\t23.690000\n1413793560\t23.690000\n1413794160\t23.690000\n1413794761\t23.620000\n1413795361\t23.620000\n1413795962\t23.620000\n1413796563\t23.690000\n1413797163\t23.690000\n1413797764\t23.620000\n1413798364\t23.690000\n1413798965\t23.690000\n1413799565\t23.690000\n1413800166\t23.690000\n1413800766\t23.690000\n1413801367\t23.690000\n1413801968\t23.750000\n1413802568\t23.750000\n1413803169\t23.810000\n1413803769\t23.810000\n1413804370\t23.810000\n1413804985\t23.810000\n1413805586\t23.940000\n1413806186\t23.880000\n1413806787\t23.810000\n1413807388\t23.810000\n1413807988\t23.810000\n1413808589\t23.810000\n1413809189\t23.810000\n1413809790\t23.880000\n1413810390\t23.810000\n1413810991\t23.810000\n1413811591\t23.810000\n1413812192\t23.750000\n1413812792\t24.440000\n1413813393\t24.750000\n1413813993\t24.750000\n1413814594\t24.940000\n1413815195\t25.060000\n1413815795\t25.120000\n1413816396\t25.120000\n1413816996\t25.190000\n1413817597\t25.190000\n1413818197\t25.250000\n1413818798\t25.190000\n1413819398\t25.250000\n1413819999\t25.250000\n1413820599\t25.250000\n1413821200\t25.250000\n1413821801\t25.250000\n1413822401\t25.250000\n1413823002\t25.310000\n1413823602\t25.310000\n1413824218\t25.310000\n1413824818\t25.310000\n1413825419\t25.310000\n1413826019\t25.310000\n1413826620\t25.310000\n1413827221\t25.380000\n1413827821\t25.380000\n1413828422\t25.380000\n1413829022\t25.380000\n1413829623\t25.380000\n1413830223\t25.380000\n1413830824\t25.380000\n1413831424\t25.380000\n1413832025\t25.380000\n1413832625\t25.380000\n1413833226\t25.380000\n1413833827\t25.380000\n1413834427\t25.380000\n1413835028\t25.380000\n1413835628\t25.380000\n1413836229\t25.380000\n1413836829\t25.380000\n1413837430\t25.380000\n1413838030\t25.380000\n1413838631\t25.440000\n1413839231\t25.440000\n1413839832\t25.440000\n1413840433\t25.440000\n1413841033\t25.380000\n1413841634\t25.380000\n1413842234\t25.440000\n1413842835\t25.440000\n1413843435\t25.440000\n1413844036\t25.500000\n1413844651\t25.500000\n1413845252\t25.500000\n1413845852\t25.440000\n1413846453\t25.440000\n1413847054\t25.440000\n1413847654\t25.440000\n1413848255\t25.440000\n1413848855\t25.440000\n1413849456\t25.440000\n1413850056\t25.440000\n1413850657\t25.440000\n1413851257\t25.440000\n1413851858\t25.440000\n1413852459\t25.440000\n1413853059\t25.440000\n1413853660\t25.440000\n1413854260\t25.440000\n1413854861\t25.500000\n1413855461\t25.500000\n1413856062\t25.500000\n1413856662\t25.500000\n1413857263\t25.440000\n1413857864\t25.500000\n1413858464\t25.500000\n1413859065\t25.500000\n1413859665\t25.440000\n1413860266\t25.500000\n1413860866\t25.500000\n1413861467\t25.500000\n1413862067\t25.500000\n1413862668\t25.440000\n1413863268\t25.440000\n1413863869\t25.440000\n1413864485\t25.440000\n1413865085\t25.440000\n1413865686\t25.440000\n1413866286\t25.440000\n1413866887\t25.440000\n1413867487\t25.380000\n1413868088\t25.440000\n1413868688\t25.440000\n1413869289\t25.440000\n1413869890\t25.440000\n1413870490\t25.440000\n1413871091\t25.440000\n1413871691\t25.440000\n1413872292\t25.440000\n1413872892\t25.380000\n1413873493\t25.440000\n1413874093\t25.380000\n1413874694\t25.380000\n1413875295\t25.380000\n1413875895\t25.380000\n1413876496\t25.380000\n1413877096\t25.380000\n1413877697\t25.380000\n1413878297\t25.310000\n1413878898\t25.250000\n1413879498\t25.310000\n1413880099\t25.250000\n1413880699\t25.250000\n1413881300\t25.250000\n1413881900\t25.250000\n1413882501\t25.250000\n1413883101\t25.250000\n1413883702\t25.250000\n1413884303\t25.250000\n1413884918\t25.310000\n1413885519\t25.310000\n1413886119\t25.310000\n1413886720\t25.250000\n1413887320\t25.250000\n1413887921\t25.250000\n1413888521\t25.250000\n1413889122\t25.250000\n1413889722\t25.250000\n1413890323\t25.250000\n1413890923\t25.250000\n1413891524\t25.250000\n1413892125\t25.250000\n1413892725\t25.190000\n1413893326\t25.250000\n1413893926\t25.190000\n1413894527\t25.250000\n1413895127\t24.810000\n1413895728\t24.000000\n1413896328\t23.880000\n1413896929\t23.810000\n1413897529\t23.750000\n1413898130\t23.750000\n1413898730\t23.750000\n1413899331\t23.690000\n1413899932\t23.620000\n1413900532\t23.620000\n1413901133\t23.620000\n1413901733\t23.560000\n1413902334\t23.560000\n1413902934\t23.500000\n1413903535\t23.560000\n1413904150\t23.500000\n1413904751\t23.500000\n1413905351\t23.440000\n1413905952\t23.440000\n1413906552\t23.440000\n1413907153\t23.440000\n1413907753\t23.380000\n1413908354\t23.380000\n1413908955\t23.310000\n1413909555\t23.310000\n1413910156\t23.310000\n1413910756\t23.310000\n1413911357\t23.310000\n1413911957\t23.310000\n1413912558\t23.310000\n1413913158\t23.310000\n1413913759\t23.310000\n1413914359\t23.310000\n1413914960\t23.250000\n1413915561\t23.250000\n1413916161\t23.250000\n1413916762\t23.190000\n1413917362\t23.120000\n1413917963\t23.120000\n1413918563\t23.190000\n1413919164\t23.190000\n1413919764\t23.120000\n1413920365\t23.120000\n1413920966\t23.120000\n1413921566\t23.120000\n1413922167\t23.120000\n1413922782\t23.060000\n1413923383\t23.000000\n1413923983\t23.000000\n1413924584\t23.000000\n1413925184\t22.940000\n1413925785\t22.940000\n1413926386\t22.880000\n1413926986\t22.880000\n1413927587\t22.810000\n1413928187\t22.810000\n1413928788\t22.750000\n1413929388\t22.750000\n1413929989\t22.750000\n1413930589\t22.750000\n1413931190\t22.750000\n1413931791\t22.750000\n1413932391\t22.620000\n1413932992\t22.620000\n1413933592\t22.620000\n1413934193\t22.620000\n1413934793\t22.620000\n1413935394\t22.620000\n1413935994\t22.560000\n1413936595\t22.620000\n1413937196\t22.620000\n1413937796\t22.620000\n1413938397\t22.560000\n1413938997\t22.560000\n1413939598\t22.560000\n1413940198\t22.560000\n1413940799\t22.620000\n1413941399\t22.620000\n1413942015\t22.620000\n1413942616\t22.560000\n1413943216\t22.560000\n1413943817\t22.560000\n1413944417\t22.560000\n1413945018\t22.500000\n1413945618\t22.500000\n1413946219\t22.500000\n1413946819\t22.500000\n1413947420\t22.500000\n1413948020\t22.440000\n1413948621\t22.440000\n1413949222\t22.440000\n1413949822\t22.380000\n1413950423\t22.310000\n1413951023\t22.310000\n1413951624\t22.310000\n1413952224\t22.310000\n1413952825\t22.250000\n1413953425\t22.190000\n1413954026\t22.120000\n1413954627\t22.060000\n1413955227\t21.940000\n1413955828\t21.880000\n1413956428\t21.880000\n1413957029\t21.810000\n1413957629\t21.810000\n1413958230\t21.810000\n1413958830\t21.750000\n1413959431\t21.690000\n1413960031\t21.750000\n1413960647\t21.750000\n1413961247\t21.690000\n1413961848\t21.620000\n1413962449\t21.620000\n1413963049\t21.620000\n1413963650\t21.620000\n1413964250\t21.620000\n1413964851\t21.620000\n1413965451\t21.620000\n1413966052\t21.560000\n1413966652\t21.560000\n1413967253\t21.560000\n1413967853\t21.500000\n1413968454\t21.500000\n1413969054\t21.500000\n1413969655\t21.500000\n1413970256\t21.440000\n1413970856\t21.440000\n1413971457\t21.380000\n1413972057\t21.440000\n1413972658\t21.500000\n1413973258\t21.500000\n1413973859\t21.500000\n1413974459\t21.500000\n1413975060\t21.560000\n1413975661\t21.560000\n1413976276\t21.560000\n1413976877\t21.560000\n1413977477\t21.620000\n1413978078\t21.620000\n1413978678\t21.620000\n1413979279\t21.690000\n1413979879\t21.620000\n1413980480\t21.690000\n1413981080\t21.690000\n1413981681\t21.690000\n1413982281\t21.690000\n1413982882\t21.620000\n1413983483\t21.620000\n1413984083\t21.620000\n1413984684\t21.620000\n1413985284\t21.620000\n1413985885\t21.560000\n1413986485\t21.560000\n1413987086\t21.560000\n1413987686\t21.620000\n1413988287\t21.620000\n1413988887\t21.620000\n1413989488\t21.620000\n1413990089\t21.620000\n1413990689\t21.620000\n1413991290\t21.620000\n1413991890\t21.620000\n1413992491\t21.620000\n1413993091\t21.690000\n1413993692\t21.620000\n1413994292\t21.690000\n1413994893\t21.690000\n1413995508\t21.690000\n1413996109\t21.620000\n1413996710\t21.620000\n1413997310\t21.620000\n1413997911\t21.620000\n1413998511\t21.560000\n1413999112\t21.560000\n1413999712\t21.620000\n1414000313\t21.620000\n1414000913\t21.560000\n1414001514\t21.620000\n1414002114\t21.620000\n1414002715\t21.690000\n1414003316\t21.690000\n1414003916\t21.690000\n1414004517\t21.620000\n1414005117\t21.620000\n1414005718\t21.620000\n1414006318\t21.620000\n1414006919\t21.620000\n1414007519\t21.620000\n1414008120\t21.620000\n1414008721\t21.690000\n1414009321\t21.690000\n1414009922\t21.690000\n1414010522\t21.690000\n1414011123\t21.690000\n1414011723\t21.690000\n1414012324\t21.690000\n1414012924\t21.690000\n1414013525\t21.750000\n1414014126\t21.690000\n1414014741\t21.750000\n1414015342\t21.750000\n1414015942\t21.750000\n1414016543\t21.690000\n1414017143\t21.690000\n1414017744\t21.690000\n1414018344\t21.690000\n1414018945\t21.690000\n1414019546\t21.690000\n1414020146\t21.690000\n1414020747\t21.690000\n1414021347\t21.690000\n1414021948\t21.690000\n1414022548\t21.690000\n1414023149\t21.690000\n1414023749\t21.690000\n1414024350\t21.690000\n1414024950\t21.690000\n1414025551\t21.690000\n1414026151\t21.690000\n1414026752\t21.690000\n1414027352\t21.690000\n1414027953\t21.690000\n1414028553\t21.690000\n1414029154\t21.750000\n1414029755\t21.750000\n1414030370\t21.750000\n1414030971\t21.810000\n1414031571\t21.810000\n1414032172\t21.810000\n1414032772\t21.810000\n1414033373\t21.880000\n1414033973\t21.880000\n1414034574\t21.880000\n1414035174\t21.940000\n1414035775\t21.880000\n1414036376\t21.880000\n1414036976\t21.940000\n1414037577\t21.940000\n1414038177\t21.940000\n1414038778\t21.940000\n1414039378\t21.940000\n1414039979\t21.940000\n1414040579\t21.940000\n1414041180\t21.940000\n1414041780\t21.940000\n1414042381\t21.940000\n1414042982\t21.940000\n1414043582\t21.940000\n1414044183\t21.940000\n1414044783\t21.940000\n1414045384\t21.940000\n1414045984\t21.940000\n1414046600\t21.940000\n1414047200\t21.940000\n1414047801\t21.940000\n1414048401\t21.940000\n1414049002\t21.940000\n1414049603\t22.000000\n1414050203\t21.940000\n1414050804\t21.940000\n1414051404\t21.940000\n1414052005\t21.940000\n1414052605\t21.940000\n1414053206\t21.940000\n1414053806\t21.940000\n1414054407\t21.940000\n1414055007\t21.940000\n1414055608\t21.940000\n1414056209\t21.940000\n1414056809\t21.940000\n1414057410\t21.940000\n1414058010\t21.940000\n1414058611\t21.940000\n1414059211\t21.940000\n1414059812\t21.880000\n1414060412\t21.940000\n1414061013\t21.940000\n1414061614\t21.880000\n1414062214\t21.880000\n1414062815\t21.880000\n1414063415\t21.940000\n1414064016\t21.940000\n1414064616\t21.940000\n1414065232\t21.940000\n1414065832\t21.880000\n1414066433\t21.880000\n1414067033\t21.880000\n1414067634\t21.940000\n1414068234\t21.940000\n1414068835\t21.940000\n1414069436\t21.940000\n1414070036\t21.940000\n1414070637\t21.940000\n1414071237\t22.000000\n1414071838\t22.000000\n1414072438\t22.000000\n1414073039\t22.000000\n1414073639\t22.000000\n1414074240\t22.000000\n1414074840\t21.940000\n1414075441\t22.000000\n1414076042\t22.000000\n1414076642\t22.000000\n1414077243\t22.000000\n1414077843\t22.000000\n1414078444\t21.940000\n1414079044\t22.000000\n1414079645\t21.940000\n1414080245\t21.940000\n1414080846\t22.000000\n1414081447\t21.940000\n1414082047\t22.000000\n1414082648\t22.000000\n1414083248\t22.000000\n1414083864\t22.000000\n1414084464\t22.000000\n1414085065\t22.000000\n1414085665\t22.000000\n1414086266\t22.000000\n1414086867\t22.000000\n1414087467\t21.940000\n1414088068\t21.940000\n1414088668\t21.940000\n1414089269\t21.940000\n1414089869\t22.000000\n1414090470\t21.940000\n1414091070\t21.940000\n1414091671\t21.940000\n1414092272\t21.880000\n1414092872\t21.940000\n1414093473\t21.940000\n1414094073\t21.940000\n1414094674\t21.940000\n1414095274\t21.940000\n1414095875\t21.940000\n1414096475\t21.880000\n1414097076\t21.940000\n1414097677\t21.940000\n1414098277\t21.940000\n1414098893\t21.940000\n1414099493\t21.940000\n1414100094\t22.000000\n1414100694\t22.000000\n1414101295\t22.000000\n1414101895\t22.000000\n1414102496\t22.000000\n1414103096\t22.000000\n1414103697\t22.000000\n1414104297\t22.000000\n1414104898\t22.000000\n1414105499\t22.000000\n1414106099\t22.000000\n1414106700\t22.060000\n1414107300\t22.060000\n1414107901\t22.000000\n1414108501\t22.000000\n1414109102\t22.060000\n1414109702\t22.000000\n1414110303\t22.000000\n1414110903\t22.000000\n1414111504\t22.060000\n1414112105\t22.000000\n1414112705\t22.000000\n1414113306\t22.000000\n1414113906\t21.940000\n1414114507\t22.000000\n1414115107\t21.940000\n1414115708\t22.000000\n1414116308\t21.940000\n1414116924\t21.940000\n1414117524\t21.940000\n1414118125\t21.880000\n1414118725\t21.880000\n1414119326\t21.810000\n1414119926\t21.880000\n1414120527\t21.810000\n1414121128\t21.810000\n1414121728\t21.880000\n1414122329\t21.880000\n1414122929\t21.880000\n1414123530\t21.810000\n1414124130\t21.810000\n1414124731\t21.810000\n1414125332\t21.810000\n1414125932\t21.810000\n1414126533\t21.810000\n1414127133\t21.750000\n1414127734\t21.750000\n1414128334\t21.750000\n1414128935\t21.810000\n1414129535\t21.750000\n1414130136\t21.750000\n1414130736\t21.690000\n1414131337\t21.690000\n1414131937\t21.690000\n1414132538\t21.620000\n1414133139\t21.620000\n1414133739\t21.560000\n1414134340\t21.560000\n1414134940\t21.500000\n1414135556\t21.500000\n1414136156\t21.500000\n1414136757\t21.440000\n1414137357\t21.440000\n1414137958\t21.380000\n1414138558\t21.310000\n1414139159\t21.310000\n1414139760\t21.310000\n1414140360\t21.250000\n1414140961\t21.310000\n1414141561\t21.310000\n1414142162\t21.310000\n1414142762\t21.310000\n1414143363\t21.310000\n1414143964\t21.250000\n1414144564\t21.190000\n1414145165\t20.940000\n1414145765\t21.000000\n1414146366\t20.880000\n1414146966\t20.940000\n1414147567\t21.060000\n1414148167\t20.310000\n1414148768\t20.500000\n1414149368\t20.620000\n1414149969\t20.690000\n1414150570\t20.880000\n1414151170\t20.940000\n1414151771\t21.000000\n1414152371\t21.060000\n1414152972\t21.000000\n1414153572\t21.000000\n1414154173\t21.000000\n1414154788\t21.060000\n1414155389\t21.000000\n1414155989\t20.940000\n1414156590\t21.000000\n1414157191\t21.000000\n1414157791\t21.000000\n1414158392\t21.060000\n1414158992\t20.940000\n1414159593\t21.060000\n1414160193\t21.000000\n1414160794\t21.120000\n1414161394\t21.060000\n1414161995\t21.000000\n1414162595\t21.000000\n1414163196\t21.000000\n1414163797\t21.000000\n1414164397\t20.880000\n1414164998\t20.810000\n1414165598\t20.810000\n1414166199\t20.810000\n1414166799\t20.750000\n1414167400\t20.690000\n1414168000\t20.690000\n1414168601\t20.620000\n1414169201\t20.620000\n1414169802\t20.620000\n1414170403\t20.560000\n1414171003\t20.560000\n1414171604\t20.560000\n1414172204\t20.560000\n1414172820\t20.560000\n1414173420\t20.560000\n1414174021\t20.690000\n1414174621\t20.620000\n1414175222\t20.690000\n1414175823\t20.620000\n1414176423\t20.620000\n1414177024\t20.620000\n1414177624\t20.560000\n1414178225\t20.560000\n1414178825\t20.500000\n1414179426\t20.500000\n1414180026\t20.500000\n1414180627\t20.500000\n1414181227\t20.440000\n1414181828\t20.440000\n1414182428\t20.440000\n1414183029\t20.500000\n1414183630\t20.380000\n1414184230\t20.310000\n1414184831\t20.380000\n1414185431\t20.560000\n1414186032\t20.620000\n1414186632\t20.560000\n1414187233\t20.560000\n1414187833\t20.690000\n1414188434\t20.620000\n1414189034\t20.690000\n1414189650\t20.750000\n1414190250\t20.690000\n1414190851\t20.750000\n1414191451\t20.750000\n1414192052\t20.750000\n1414192652\t20.750000\n1414193253\t20.880000\n1414193854\t20.880000\n1414194454\t20.880000\n1414195055\t20.880000\n1414195655\t20.880000\n1414196256\t20.880000\n1414196856\t20.880000\n1414197457\t20.940000\n1414198057\t20.940000\n1414198658\t20.940000\n1414199259\t20.940000\n1414199859\t20.880000\n1414200460\t20.880000\n1414201060\t20.880000\n1414201661\t20.880000\n1414202261\t20.940000\n1414202862\t20.940000\n1414203462\t20.880000\n1414204063\t20.940000\n1414204664\t20.940000\n1414205264\t20.880000\n1414205865\t20.940000\n1414206465\t20.940000\n1414207066\t20.940000\n1414207681\t20.940000\n1414208282\t20.880000\n1414208882\t20.940000\n1414209483\t20.940000\n1414210083\t20.940000\n1414210684\t20.940000\n1414211284\t20.940000\n1414211885\t20.880000\n1414212486\t20.880000\n1414213086\t20.810000\n1414213687\t20.810000\n1414214287\t20.940000\n1414214888\t20.940000\n1414215488\t21.000000\n1414216089\t20.940000\n1414216689\t20.940000\n1414217290\t21.000000\n1414217890\t20.880000\n1414218491\t20.880000\n1414219091\t21.000000\n1414219692\t21.000000\n1414220292\t20.940000\n1414220893\t20.940000\n1414221494\t20.940000\n1414222094\t20.940000\n1414222695\t20.810000\n1414223295\t20.750000\n1414223896\t20.750000\n1414224496\t20.750000\n1414225097\t20.690000\n1414225697\t20.690000\n1414226298\t20.690000\n1414226914\t20.690000\n1414227514\t20.690000\n1414228115\t20.690000\n1414228715\t20.620000\n1414229316\t20.690000\n1414229916\t20.750000\n1414230517\t20.690000\n1414231117\t20.690000\n1414231718\t20.750000\n1414232319\t20.750000\n1414232919\t20.810000\n1414233520\t20.750000\n1414234120\t20.750000\n1414234721\t20.750000\n1414235321\t20.750000\n1414235922\t20.810000\n1414236522\t20.750000\n1414237123\t20.810000\n1414237724\t20.810000\n1414238324\t20.810000\n1414238925\t20.880000\n1414239525\t20.810000\n1414240126\t20.810000\n1414240726\t20.810000\n1414241327\t20.810000\n1414241927\t20.810000\n1414242528\t20.750000\n1414243129\t20.880000\n1414243729\t20.880000\n1414244330\t20.810000\n1414244930\t20.940000\n1414245531\t21.000000\n1414246131\t20.940000\n1414246732\t20.940000\n1414247332\t20.940000\n1414247933\t20.940000\n1414248549\t20.940000\n1414249149\t20.940000\n1414249750\t20.940000\n1414250350\t21.000000\n1414250951\t20.940000\n1414251551\t21.060000\n1414252152\t21.060000\n1414252752\t21.120000\n1414253353\t21.120000\n1414253953\t21.190000\n1414254554\t21.120000\n1414255154\t21.000000\n1414255755\t20.880000\n1414256356\t20.940000\n1414256956\t20.940000\n1414257557\t21.000000\n1414258157\t20.880000\n1414258758\t20.880000\n1414259358\t21.000000\n1414259959\t21.120000\n1414260559\t21.190000\n1414261160\t21.120000\n1414261760\t21.120000\n1414262361\t21.190000\n1414262962\t21.120000\n1414263562\t21.190000\n1414264163\t21.190000\n1414264763\t21.190000\n1414265364\t21.190000\n1414265964\t21.190000\n1414266565\t21.250000\n1414267165\t21.310000\n1414267766\t21.310000\n1414268381\t21.310000\n1414268982\t21.380000\n1414269582\t21.310000\n1414270183\t21.250000\n1414270784\t21.250000\n1414271384\t21.310000\n1414271985\t21.310000\n1414272585\t21.380000\n1414273186\t21.440000\n1414273786\t21.500000\n1414274387\t21.440000\n1414274987\t21.500000\n1414275588\t21.500000\n1414276188\t21.500000\n1414276789\t21.500000\n1414277390\t21.500000\n1414277990\t21.500000\n1414278591\t21.500000\n1414279191\t21.500000\n1414279792\t21.560000\n1414280392\t21.560000\n1414280993\t21.560000\n1414281593\t21.560000\n1414285794\t21.620000\n1414285797\t21.620000\n1414286394\t21.620000\n1414286398\t21.620000\n1414286995\t21.620000\n1414286998\t21.690000\n1414287595\t21.620000\n1414287599\t21.690000\n1414288196\t21.620000\n1414288199\t21.690000\n1414288797\t21.690000\n1414288800\t21.620000\n1414289400\t21.620000\n1414290001\t21.560000\n1414290601\t21.560000\n1414291202\t21.620000\n1414291802\t21.560000\n1414292403\t21.560000\n1414293004\t21.560000\n1414293604\t21.500000\n1414294205\t21.500000\n1414294805\t21.440000\n1414295406\t21.500000\n1414296006\t21.440000\n1414296607\t21.440000\n1414297207\t21.440000\n1414297808\t21.440000\n1414298409\t21.380000\n1414299009\t21.310000\n1414299610\t21.310000\n1414300210\t21.250000\n1414300811\t21.190000\n1414301411\t21.190000\n1414302012\t21.190000\n1414302612\t21.190000\n1414303213\t21.190000\n1414303813\t21.190000\n1414304414\t21.120000\n1414305015\t21.060000\n1414305615\t21.060000\n1414306216\t21.190000\n1414306816\t21.190000\n1414307417\t21.190000\n1414308017\t21.190000\n1414308618\t21.190000\n1414309218\t21.190000\n1414309819\t21.190000\n1414310420\t21.190000\n1414311020\t21.120000\n1414311621\t21.060000\n1414312221\t21.120000\n1414312822\t21.120000\n1414313422\t21.060000\n1414314023\t21.060000\n1414314623\t21.000000\n1414315224\t20.880000\n1414315825\t20.810000\n1414316425\t20.750000\n1414317026\t20.690000\n1414317626\t20.620000\n1414318227\t20.620000\n1414318827\t20.560000\n1414319428\t20.560000\n1414320028\t20.560000\n1414320629\t20.620000\n1414321229\t20.620000\n1414321830\t20.620000\n1414322431\t20.620000\n1414323031\t20.750000\n1414323632\t20.750000\n1414324232\t20.810000\n1414324833\t20.750000\n1414325433\t20.750000\n1414326034\t20.750000\n1414326634\t20.810000\n1414327235\t20.810000\n1414327836\t20.940000\n1414328436\t20.880000\n1414329037\t20.810000\n1414329637\t20.810000\n1414330238\t20.880000\n1414330838\t20.940000\n1414331439\t21.000000\n1414332039\t21.060000\n1414332640\t21.120000\n1414333240\t21.120000\n1414333841\t21.120000\n1414334441\t21.190000\n1414335042\t21.190000\n1414335643\t21.190000\n1414336243\t21.060000\n1414336844\t21.000000\n1414337444\t21.060000\n1414338045\t21.120000\n1414338645\t21.060000\n1414339246\t21.000000\n1414339846\t21.000000\n1414340447\t21.060000\n1414341047\t21.060000\n1414341648\t21.000000\n1414342248\t21.000000\n1414342849\t21.000000\n1414343450\t21.060000\n1414344050\t21.060000\n1414344651\t21.000000\n1414345251\t21.060000\n1414345852\t21.000000\n1414346452\t20.940000\n1414347053\t20.940000\n1414347653\t20.620000\n1414348254\t20.500000\n1414348854\t20.750000\n1414349455\t20.880000\n1414350055\t21.000000\n1414350656\t21.060000\n1414351257\t21.120000\n1414351857\t21.250000\n1414352458\t21.250000\n1414353058\t21.250000\n1414353659\t21.250000\n1414354259\t21.250000\n1414354860\t21.190000\n1414355460\t21.190000\n1414356061\t21.190000\n1414356661\t21.190000\n1414357262\t21.190000\n1414357863\t21.190000\n1414358463\t21.120000\n1414359064\t21.120000\n1414359664\t21.120000\n1414360265\t21.060000\n1414360865\t20.940000\n1414361466\t20.880000\n1414362066\t20.810000\n1414362667\t20.810000\n1414363268\t20.880000\n1414363868\t20.940000\n1414364469\t21.000000\n1414365069\t21.000000\n1414365670\t20.940000\n1414366270\t21.060000\n1414366871\t21.060000\n1414367471\t21.060000\n1414368072\t21.120000\n1414368672\t21.060000\n1414369273\t21.060000\n1414369873\t21.120000\n1414370474\t21.060000\n1414371075\t21.120000\n1414371675\t21.120000\n1414372276\t21.190000\n1414372876\t21.190000\n1414373477\t21.190000\n1414374077\t21.250000\n1414374678\t21.250000\n1414375278\t21.190000\n1414375879\t21.190000\n1414376479\t21.120000\n1414377080\t21.250000\n1414377680\t21.310000\n1414378281\t21.380000\n1414378882\t21.440000\n1414379482\t21.440000\n1414380083\t21.560000\n1414380683\t21.620000\n1414381284\t21.690000\n1414381884\t21.560000\n1414382485\t21.560000\n1414383085\t21.440000\n1414383686\t21.440000\n1414384286\t21.380000\n1414384887\t21.440000\n1414385487\t21.440000\n1414386088\t21.440000\n1414386689\t21.440000\n1414387289\t21.440000\n1414387890\t21.440000\n1414388490\t21.440000\n1414389091\t21.440000\n1414389691\t21.500000\n1414390292\t21.500000\n1414390892\t21.560000\n1414391493\t21.560000\n1414392093\t21.560000\n1414392694\t21.560000\n1414393295\t21.620000\n1414393895\t21.690000\n1414394496\t21.690000\n1414395096\t21.560000\n1414395697\t21.620000\n1414396297\t21.690000\n1414396898\t21.810000\n1414397498\t21.940000\n1414398099\t21.880000\n1414398700\t21.880000\n1414399300\t21.880000\n1414399901\t21.940000\n1414400501\t22.000000\n1414401102\t22.000000\n1414401702\t21.940000\n1414402303\t21.880000\n1414402903\t21.880000\n1414403504\t21.810000\n1414404105\t21.880000\n1414404705\t21.810000\n1414405306\t21.810000\n1414405906\t21.880000\n1414406507\t21.940000\n1414407107\t21.880000\n1414407708\t21.880000\n1414408308\t21.810000\n1414408909\t22.000000\n1414409509\t22.120000\n1414410110\t22.120000\n1414410710\t22.120000\n1414411311\t22.120000\n1414411912\t22.000000\n1414412512\t22.060000\n1414413113\t22.120000\n1414413713\t22.310000\n1414414314\t22.380000\n1414414914\t22.500000\n1414415515\t22.620000\n1414416115\t22.620000\n1414416716\t22.690000\n1414417316\t22.750000\n1414417917\t22.750000\n1414418518\t22.750000\n1414419118\t22.750000\n1414419719\t22.810000\n1414420319\t22.880000\n1414420920\t22.940000\n1414421520\t22.940000\n1414422121\t22.880000\n1414422721\t22.940000\n1414423322\t22.940000\n1414423923\t23.000000\n1414424523\t22.940000\n1414425124\t22.940000\n1414425724\t22.880000\n1414426325\t22.880000\n1414426925\t22.940000\n1414427526\t22.940000\n1414428126\t22.880000\n1414428727\t22.810000\n1414429327\t22.750000\n1414429928\t22.690000\n1414430528\t22.810000\n1414431129\t22.750000\n1414431729\t22.750000\n1414432330\t22.690000\n1414432930\t22.690000\n1414433531\t22.750000\n1414434132\t22.690000\n1414434732\t22.620000\n1414435333\t22.560000\n1414435933\t22.620000\n1414436534\t22.620000\n1414437134\t22.690000\n1414437735\t22.690000\n1414438335\t22.690000\n1414438936\t22.690000\n1414439537\t22.690000\n1414440137\t22.560000\n1414440738\t22.560000\n1414441338\t22.560000\n1414441939\t22.500000\n1414442539\t22.560000\n1414443140\t22.620000\n1414443740\t22.560000\n1414444341\t22.560000\n1414444941\t22.440000\n1414445542\t22.500000\n1414446143\t22.560000\n1414446743\t22.500000\n1414447344\t22.560000\n1414447944\t22.560000\n1414448545\t22.560000\n1414449145\t22.560000\n1414449746\t22.560000\n1414450346\t22.620000\n1414450947\t22.500000\n1414451548\t22.560000\n1414452148\t22.560000\n1414452749\t22.560000\n1414453349\t22.500000\n1414453950\t22.500000\n1414454550\t22.560000\n1414455151\t22.560000\n1414455751\t22.560000\n1414456352\t22.620000\n1414456952\t22.620000\n1414457553\t22.560000\n1414458154\t22.560000\n1414458754\t22.500000\n1414459355\t22.560000\n1414459955\t22.620000\n1414460556\t22.620000\n1414461156\t22.500000\n1414461757\t22.560000\n1414462357\t22.560000\n1414462958\t22.560000\n1414463559\t22.620000\n1414464159\t22.620000\n1414464760\t22.620000\n1414465360\t22.690000\n1414465961\t22.750000\n1414466561\t22.690000\n1414467162\t22.560000\n1414467762\t22.560000\n1414468363\t22.560000\n1414468963\t22.500000\n1414469564\t22.500000\n1414470164\t22.500000\n1414470765\t22.500000\n1414471366\t22.560000\n1414471966\t22.560000\n1414472567\t22.500000\n1414473167\t22.500000\n1414473768\t22.500000\n1414474368\t22.560000\n1414474969\t22.560000\n1414475569\t22.560000\n1414476170\t22.560000\n1414476771\t22.500000\n1414477371\t22.500000\n1414477972\t22.560000\n1414478572\t22.620000\n1414479173\t22.620000\n1414479773\t22.620000\n1414480374\t22.560000\n1414480974\t22.620000\n1414481575\t22.690000\n1414482176\t22.620000\n1414482776\t22.620000\n1414483377\t22.560000\n1414483977\t22.620000\n1414484578\t22.560000\n1414485178\t22.560000\n1414485779\t22.560000\n1414486379\t22.620000\n1414486980\t22.690000\n1414487580\t22.750000\n1414488181\t22.810000\n1414488782\t22.810000\n1414489382\t22.750000\n1414489983\t22.690000\n1414490583\t22.690000\n1414491184\t22.690000\n1414491784\t22.690000\n1414492385\t22.690000\n1414492985\t22.690000\n1414493586\t22.750000\n1414494187\t22.810000\n1414494787\t22.880000\n1414495388\t22.880000\n1414495988\t22.940000\n1414496589\t22.880000\n1414497189\t22.880000\n1414497790\t22.940000\n1414498390\t23.000000\n1414498991\t22.940000\n1414499592\t23.060000\n1414500192\t23.060000\n1414500793\t23.190000\n1414501393\t23.120000\n1414501994\t23.190000\n1414502594\t23.250000\n1414503195\t23.440000\n1414503795\t23.500000\n1414504396\t23.560000\n1414504996\t23.500000\n1414505597\t23.620000\n1414506197\t23.690000\n1414506798\t23.750000\n1414507398\t23.810000\n1414507999\t23.810000\n1414508600\t23.880000\n1414509200\t23.880000\n1414509801\t23.880000\n1414510401\t23.880000\n1414511002\t23.880000\n1414511602\t23.810000\n1414512203\t23.750000\n1414512803\t23.750000\n1414513404\t23.750000\n1414514004\t23.880000\n1414514605\t23.750000\n1414515205\t23.620000\n1414515806\t23.620000\n1414516407\t23.690000\n1414517007\t23.620000\n1414517608\t23.500000\n1414518208\t23.380000\n1414518809\t23.310000\n1414519409\t23.250000\n1414520010\t23.250000\n1414520610\t23.190000\n1414521211\t23.190000\n1414521812\t23.190000\n1414522412\t23.190000\n1414523013\t23.250000\n1414523613\t23.250000\n1414524214\t23.310000\n1414524814\t23.310000\n1414525415\t23.310000\n1414526015\t23.310000\n1414526616\t23.380000\n1414527217\t23.310000\n1414527817\t23.310000\n1414528418\t23.380000\n1414529018\t23.310000\n1414529619\t23.250000\n1414530219\t23.250000\n1414530820\t23.310000\n1414531420\t23.310000\n1414532021\t23.310000\n1414532622\t23.380000\n1414533222\t23.440000\n1414533823\t23.560000\n1414534423\t23.560000\n1414535024\t23.620000\n1414535624\t23.560000\n1414536225\t23.690000\n1414536825\t23.750000\n1414537426\t23.880000\n1414538026\t23.940000\n1414538627\t23.940000\n1414539227\t23.940000\n1414539828\t23.940000\n1414540429\t24.000000\n1414541029\t24.000000\n1414541630\t23.940000\n1414542230\t23.940000\n1414542831\t23.880000\n1414543431\t23.880000\n1414544032\t23.810000\n1414544632\t23.810000\n1414545233\t23.880000\n1414545833\t23.880000\n1414546434\t23.810000\n1414547035\t23.810000\n1414547635\t23.810000\n1414548236\t23.810000\n1414548836\t23.750000\n1414549437\t23.620000\n1414550037\t23.560000\n1414550638\t23.560000\n1414551238\t23.620000\n1414551839\t23.620000\n1414552439\t23.620000\n1414553040\t23.620000\n1414553641\t23.560000\n1414554241\t23.560000\n1414554842\t23.500000\n1414555442\t23.440000\n1414556043\t23.310000\n1414556643\t23.310000\n1414557244\t23.250000\n1414557845\t23.190000\n1414558445\t23.120000\n1414559046\t23.120000\n1414559646\t23.120000\n1414560247\t23.060000\n1414560847\t23.060000\n1414561448\t23.120000\n1414562049\t23.120000\n1414562649\t23.060000\n1414563250\t23.190000\n1414563850\t23.190000\n1414564451\t23.190000\n1414565051\t23.120000\n1414565652\t23.000000\n1414566252\t23.000000\n1414566853\t23.060000\n1414567453\t23.060000\n1414568054\t23.190000\n1414568655\t23.060000\n1414569255\t23.190000\n1414569856\t23.120000\n1414570456\t23.120000\n1414571057\t23.000000\n1414571657\t23.000000\n1414572258\t22.940000\n1414572858\t23.000000\n1414573459\t23.060000\n1414574060\t23.190000\n1414574660\t23.310000\n1414575261\t23.440000\n1414575861\t23.440000\n1414576462\t23.500000\n1414577062\t23.440000\n1414577663\t23.380000\n1414578263\t23.440000\n1414578864\t23.560000\n1414579464\t23.620000\n1414580065\t23.690000\n1414580666\t23.810000\n1414581266\t23.880000\n1414581867\t23.940000\n1414582467\t23.940000\n1414583068\t24.000000\n1414583668\t24.060000\n1414584269\t24.120000\n1414584869\t24.190000\n1414585470\t24.190000\n1414586070\t24.250000\n1414586671\t24.310000\n1414587271\t24.250000\n1414587872\t24.190000\n1414588473\t24.250000\n1414589073\t24.310000\n1414589674\t24.310000\n1414590274\t24.380000\n1414590875\t24.380000\n1414591475\t24.380000\n1414592076\t24.380000\n1414592677\t24.440000\n1414593277\t24.380000\n1414593878\t24.380000\n1414594478\t24.380000\n1414595079\t24.440000\n1414595679\t24.440000\n1414596280\t24.440000\n1414596880\t24.500000\n1414597481\t24.500000\n1414598082\t24.500000\n1414598682\t24.500000\n1414599283\t24.500000\n1414599883\t24.500000\n1414600484\t24.500000\n1414601084\t24.500000\n1414601685\t24.560000\n1414602286\t24.560000\n1414602886\t24.500000\n1414603487\t24.560000\n1414604087\t24.560000\n1414604688\t24.560000\n1414605288\t24.560000\n1414605889\t24.560000\n1414606490\t24.560000\n1414607090\t24.500000\n1414607691\t24.560000\n1414608291\t24.560000\n1414608892\t24.560000\n1414609492\t24.560000\n1414610093\t24.560000\n1414610693\t24.560000\n1414611294\t24.560000\n1414611894\t24.560000\n1414612495\t24.500000\n1414613096\t24.560000\n1414613696\t24.500000\n1414614297\t24.500000\n1414614897\t24.560000\n1414615498\t24.560000\n1414616098\t24.500000\n1414616699\t24.560000\n1414617299\t24.500000\n1414617900\t24.500000\n1414618501\t24.500000\n1414619101\t24.500000\n1414619702\t24.500000\n1414620302\t24.500000\n1414620903\t24.560000\n1414621503\t24.500000\n1414622104\t24.500000\n1414622704\t24.500000\n1414623305\t24.500000\n1414623906\t24.500000\n1414624506\t24.500000\n1414625107\t24.500000\n1414625707\t24.560000\n1414626308\t24.500000\n1414626908\t24.500000\n1414627509\t24.440000\n1414628109\t24.440000\n1414628710\t24.440000\n1414629310\t24.440000\n1414629911\t24.380000\n1414630512\t24.380000\n1414631112\t24.440000\n1414631713\t24.380000\n1414632313\t24.380000\n1414632914\t24.380000\n1414633514\t24.440000\n1414634115\t24.440000\n1414634715\t24.380000\n1414635316\t24.380000\n1414635917\t24.380000\n1414636517\t24.380000\n1414637118\t24.380000\n1414637718\t24.310000\n1414638319\t24.380000\n1414638919\t24.310000\n1414639520\t24.310000\n1414640120\t24.310000\n1414640721\t24.250000\n1414641321\t24.310000\n1414641922\t24.250000\n1414642523\t24.250000\n1414643123\t24.250000\n1414643724\t24.190000\n1414644324\t24.190000\n1414644925\t24.190000\n1414645525\t24.190000\n1414646126\t24.190000\n1414646726\t24.190000\n1414647327\t24.120000\n1414647928\t24.190000\n1414648528\t24.120000\n1414649129\t24.120000\n1414649729\t24.120000\n1414650330\t24.120000\n1414650930\t24.120000\n1414651531\t24.120000\n1414652131\t24.060000\n1414652732\t24.060000\n1414653332\t24.000000\n1414653933\t24.000000\n1414654533\t24.000000\n1414655134\t24.060000\n1414655735\t24.060000\n1414656335\t24.060000\n1414656936\t24.060000\n1414657536\t24.000000\n1414658137\t24.060000\n1414658737\t24.000000\n1414659338\t24.000000\n1414659938\t24.060000\n1414660539\t24.000000\n1414661139\t24.000000\n1414661740\t24.000000\n1414662340\t23.940000\n1414662941\t24.000000\n1414663542\t24.000000\n1414664142\t24.000000\n1414664743\t23.940000\n1414665343\t23.880000\n1414665944\t23.880000\n1414666544\t23.940000\n1414667145\t24.000000\n1414667745\t23.940000\n1414668346\t23.940000\n1414668947\t23.940000\n1414669547\t23.940000\n1414670148\t24.000000\n1414670748\t23.940000\n1414671349\t23.940000\n1414671949\t23.880000\n1414672550\t23.880000\n1414673150\t23.880000\n1414673751\t23.940000\n1414674352\t23.940000\n1414674952\t23.940000\n1414675553\t23.880000\n1414676153\t23.880000\n1414676754\t23.940000\n1414677354\t23.940000\n1414677955\t23.940000\n1414678555\t23.940000\n1414679156\t24.000000\n1414679757\t24.000000\n1414680357\t24.000000\n1414680958\t24.000000\n1414681558\t24.000000\n1414682159\t24.000000\n1414682759\t24.000000\n1414683360\t24.000000\n1414683960\t23.940000\n1414684561\t23.940000\n1414685161\t23.940000\n1414685762\t23.940000\n1414686362\t23.940000\n1414686963\t23.940000\n1414687564\t23.940000\n1414688164\t23.940000\n1414688765\t23.880000\n1414689365\t23.940000\n1414689966\t23.880000\n1414690566\t23.880000\n1414691167\t23.880000\n1414691767\t23.880000\n1414692368\t23.880000\n1414692969\t23.880000\n1414693569\t23.880000\n1414694170\t23.810000\n1414694770\t23.810000\n1414695371\t23.810000\n1414695971\t23.810000\n1414696572\t23.810000\n1414697172\t23.810000\n1414697773\t23.750000\n1414698373\t23.750000\n1414698974\t23.750000\n1414699575\t23.750000\n1414700175\t23.750000\n1414700776\t23.690000\n1414701376\t23.690000\n1414701977\t23.690000\n1414702577\t23.690000\n1414703178\t23.690000\n1414703778\t23.690000\n1414704379\t23.690000\n1414704979\t23.620000\n1414705580\t23.620000\n1414706181\t23.620000\n1414706781\t23.620000\n1414707382\t23.620000\n1414707982\t23.620000\n1414708583\t23.620000\n1414709183\t23.560000\n1414709784\t23.560000\n1414710384\t23.560000\n1414710985\t23.560000\n1414711585\t23.560000\n1414712186\t23.560000\n1414712786\t23.560000\n1414713387\t23.560000\n1414713987\t23.500000\n1414714588\t23.500000\n1414715188\t23.500000\n1414715789\t23.500000\n1414716390\t23.500000\n1414716990\t23.440000\n1414717591\t23.440000\n1414718191\t23.440000\n1414718792\t23.440000\n1414719392\t23.380000\n1414719993\t23.380000\n1414720593\t23.440000\n1414721194\t23.380000\n1414721795\t23.380000\n1414722395\t23.380000\n1414722996\t23.380000\n1414723596\t23.380000\n1414724197\t23.310000\n1414724797\t23.380000\n1414725398\t23.310000\n1414725998\t23.310000\n1414726599\t23.310000\n1414727199\t23.250000\n1414727800\t23.250000\n1414728400\t23.250000\n1414729001\t23.250000\n1414729602\t23.250000\n1414730202\t23.190000\n1414730803\t23.190000\n1414731403\t23.190000\n1414732004\t23.120000\n1414732604\t23.120000\n1414733205\t23.120000\n1414733805\t23.120000\n1414734406\t23.120000\n1414735006\t23.060000\n1414735607\t23.060000\n1414736207\t23.060000\n1414736808\t23.060000\n1414737408\t23.060000\n1414738009\t23.000000\n1414738610\t23.000000\n1414739210\t22.940000\n1414739811\t22.940000\n1414740411\t22.940000\n1414741012\t22.940000\n1414741612\t22.940000\n1414742213\t22.880000\n1414742814\t22.880000\n1414743414\t22.880000\n1414744015\t22.880000\n1414744615\t22.810000\n1414745216\t22.880000\n1414745816\t22.880000\n1414746417\t22.880000\n1414747017\t22.880000\n1414747618\t22.880000\n1414748218\t22.880000\n1414748819\t22.880000\n1414749420\t22.810000\n1414750020\t22.880000\n1414750621\t22.880000\n1414751221\t22.880000\n1414751822\t22.880000\n1414752422\t22.880000\n1414753023\t22.880000\n1414753623\t22.880000\n1414754224\t22.880000\n1414754824\t22.880000\n1414755425\t22.880000\n1414756026\t22.940000\n1414756626\t22.940000\n1414757227\t22.940000\n1414757827\t22.940000\n1414758428\t22.940000\n1414759028\t22.940000\n1414759629\t23.000000\n1414760229\t22.940000\n1414760830\t22.940000\n1414761430\t22.940000\n1414762031\t22.940000\n1414762631\t22.940000\n1414763232\t22.940000\n1414763832\t22.940000\n1414764433\t22.940000\n1414765033\t22.940000\n1414765634\t22.940000\n1414766234\t22.940000\n1414766835\t22.940000\n1414767436\t22.940000\n1414768036\t22.940000\n1414768637\t22.880000\n1414769237\t22.880000\n1414769838\t22.880000\n1414770438\t22.880000\n1414771039\t22.880000\n1414771639\t22.880000\n1414772240\t22.880000\n1414772840\t22.880000\n1414773441\t22.880000\n1414774042\t22.880000\n1414774642\t22.880000\n1414775243\t22.880000\n1414775843\t22.880000\n1414776444\t22.880000\n1414777044\t22.880000\n1414777645\t22.880000\n1414778246\t22.880000\n1414778846\t22.880000\n1414779447\t22.880000\n1414780047\t22.880000\n1414780648\t22.880000\n1414781248\t22.810000\n1414781849\t22.810000\n1414782449\t22.810000\n1414783050\t22.810000\n1414783650\t22.810000\n1414784251\t22.810000\n1414784852\t22.810000\n1414785452\t22.810000\n1414786053\t22.810000\n1414786653\t22.810000\n1414787254\t22.810000\n1414787854\t22.810000\n1414788455\t22.810000\n1414789055\t22.810000\n1414789656\t22.810000\n1414790257\t22.750000\n1414790857\t22.750000\n1414791458\t22.750000\n1414792058\t22.750000\n1414792659\t22.750000\n1414793259\t22.810000\n1414793860\t22.750000\n1414794460\t22.750000\n1414795061\t22.750000\n1414795661\t22.750000\n1414796262\t22.750000\n1414796863\t22.750000\n1414797463\t22.750000\n1414798064\t22.810000\n1414798664\t22.810000\n1414799265\t22.810000\n1414799865\t22.810000\n1414800466\t22.750000\n1414801066\t22.750000\n1414801667\t22.750000\n1414802267\t22.810000\n1414802868\t22.810000\n1414803468\t22.750000\n1414804069\t22.810000\n1414804669\t22.750000\n1414805270\t22.750000\n1414805871\t22.750000\n1414806471\t22.750000\n1414807072\t22.750000\n1414807672\t22.750000\n1414808273\t22.690000\n1414808873\t22.750000\n1414809474\t22.750000\n1414810074\t22.750000\n1414810675\t22.690000\n1414811275\t22.690000\n1414811876\t22.690000\n1414812477\t22.690000\n1414813077\t22.750000\n1414813678\t22.750000\n1414814278\t22.690000\n1414814879\t22.690000\n1414815479\t22.690000\n1414816080\t22.690000\n1414816680\t22.690000\n1414817281\t22.690000\n1414817881\t22.690000\n1414818482\t22.690000\n1414819083\t22.690000\n1414819683\t22.690000\n1414820284\t22.690000\n1414820884\t22.690000\n1414821485\t22.750000\n1414822085\t22.690000\n1414822686\t22.690000\n1414823286\t22.690000\n1414823887\t22.690000\n1414824487\t22.690000\n1414825088\t22.690000\n1414825689\t22.690000\n1414826289\t22.690000\n1414826890\t22.690000\n1414827490\t22.690000\n1414828091\t22.690000\n1414828691\t22.690000\n1414829292\t22.690000\n1414829892\t22.690000\n1414830493\t22.690000\n1414831093\t22.690000\n1414831694\t22.690000\n1414832295\t22.690000\n1414832895\t22.690000\n1414833496\t22.690000\n1414834096\t22.690000\n1414834697\t22.690000\n1414835297\t22.690000\n1414835898\t22.690000\n1414836498\t22.690000\n1414837099\t22.750000\n1414837699\t22.750000\n1414838300\t22.690000\n1414838901\t22.690000\n1414839501\t22.690000\n1414840102\t22.690000\n1414840702\t22.690000\n1414841303\t22.690000\n1414841903\t22.750000\n1414842504\t22.750000\n1414843104\t22.750000\n1414843705\t22.750000\n1414844306\t22.750000\n1414844906\t22.750000\n1414845507\t22.810000\n1414846107\t22.750000\n1414846708\t22.810000\n1414847308\t22.810000\n1414847909\t22.810000\n1414848509\t22.810000\n1414849110\t22.880000\n1414849710\t22.880000\n1414850311\t22.880000\n1414850911\t22.880000\n1414851512\t22.880000\n1414852113\t22.880000\n1414852713\t22.940000\n1414853314\t22.940000\n1414853914\t22.880000\n1414854515\t22.940000\n1414855115\t22.880000\n1414855716\t22.940000\n1414856316\t22.940000\n1414856917\t22.880000\n1414857517\t22.880000\n1414858118\t22.940000\n1414858718\t22.880000\n1414859319\t22.940000\n1414859919\t22.880000\n1414860520\t22.940000\n1414861120\t22.940000\n1414861721\t22.940000\n1414862322\t22.940000\n1414862922\t22.940000\n1414863523\t22.940000\n1414864123\t23.000000\n1414864724\t23.000000\n1414865324\t22.940000\n1414865925\t22.880000\n1414866525\t22.880000\n1414867126\t22.880000\n1414867727\t22.880000\n1414868327\t22.880000\n1414868928\t22.880000\n1414869528\t22.880000\n1414870129\t22.880000\n1414870729\t22.880000\n1414871330\t22.880000\n1414871930\t22.880000\n1414872531\t22.880000\n1414873131\t22.810000\n1414873732\t22.810000\n1414874332\t22.810000\n1414874933\t22.880000\n1414875534\t22.880000\n1414876134\t23.000000\n1414876735\t22.940000\n1414877335\t23.000000\n1414877936\t23.000000\n1414878536\t23.000000\n1414879137\t22.940000\n1414879737\t22.940000\n1414880338\t22.940000\n1414880938\t22.940000\n1414881539\t22.940000\n1414882139\t22.940000\n1414882740\t22.940000\n1414883341\t22.880000\n1414883941\t22.810000\n1414884542\t22.880000\n1414885142\t22.810000\n1414885743\t22.880000\n1414886343\t22.880000\n1414886944\t22.810000\n1414887544\t22.810000\n1414888145\t22.880000\n1414888745\t22.880000\n1414889346\t22.880000\n1414889946\t22.880000\n1414890547\t22.750000\n1414891148\t22.880000\n1414891748\t22.880000\n1414892349\t22.880000\n1414892949\t22.940000\n1414893550\t23.000000\n1414894150\t22.940000\n1414894751\t22.880000\n1414895351\t22.880000\n1414895952\t22.940000\n1414896552\t23.000000\n1414897153\t22.940000\n1414897754\t23.000000\n1414898354\t23.000000\n1414898955\t23.000000\n1414899555\t23.000000\n1414900156\t23.060000\n1414900756\t23.000000\n1414901357\t23.000000\n1414901957\t23.000000\n1414902558\t23.000000\n1414903159\t22.940000\n1414903759\t22.940000\n1414904360\t23.000000\n1414904960\t23.000000\n1414905561\t23.000000\n1414906161\t23.000000\n1414906762\t23.000000\n1414907362\t23.060000\n1414907963\t23.000000\n1414908563\t22.940000\n1414909164\t22.940000\n1414909764\t22.940000\n1414910365\t22.940000\n1414910966\t22.940000\n1414911566\t23.000000\n1414912167\t23.000000\n1414912767\t23.000000\n1414913368\t22.940000\n1414913968\t22.880000\n1414914569\t22.940000\n1414915169\t23.000000\n1414915770\t23.000000\n1414916370\t22.940000\n1414916971\t22.940000\n1414917572\t22.880000\n1414918172\t22.940000\n1414918773\t22.940000\n1414919373\t22.880000\n1414919974\t22.880000\n1414920574\t22.750000\n1414921175\t21.940000\n1414921775\t21.310000\n1414922376\t20.620000\n1414922977\t20.310000\n1414923577\t20.120000\n1414924178\t20.000000\n1414924778\t19.940000\n1414925379\t19.940000\n1414925979\t19.880000\n1414926580\t20.120000\n1414927180\t20.810000\n1414927781\t21.190000\n1414928381\t21.380000\n1414928982\t21.560000\n1414929583\t21.690000\n1414930183\t21.750000\n1414930784\t21.810000\n1414931384\t21.880000\n1414931985\t21.940000\n1414932585\t22.000000\n1414933186\t22.000000\n1414933786\t21.940000\n1414934387\t22.060000\n1414934987\t21.940000\n1414935588\t22.060000\n1414936189\t22.190000\n1414936789\t22.250000\n1414937390\t22.310000\n1414937990\t22.380000\n1414938591\t22.380000\n1414939191\t22.440000\n1414939792\t22.440000\n1414940392\t22.310000\n1414940993\t22.440000\n1414941594\t22.440000\n1414942194\t22.440000\n1414942795\t22.440000\n1414943395\t22.500000\n1414943996\t22.500000\n1414944596\t22.560000\n1414945197\t22.620000\n1414945797\t22.560000\n1414946398\t22.560000\n1414946999\t22.500000\n1414947599\t22.560000\n1414948200\t22.560000\n1414948800\t22.560000\n1414949401\t22.560000\n1414950001\t22.620000\n1414950602\t22.620000\n1414951202\t22.620000\n1414951803\t22.620000\n1414952403\t22.620000\n1414953004\t22.690000\n1414953604\t22.690000\n1414954205\t22.750000\n1414954806\t22.750000\n1414955406\t22.750000\n1414956007\t22.750000\n1414956607\t22.750000\n1414957208\t22.810000\n1414957808\t22.810000\n1414958409\t22.810000\n1414959009\t22.810000\n1414959610\t22.810000\n1414960210\t22.810000\n1414960811\t22.880000\n1414961411\t22.940000\n1414962012\t22.940000\n1414962612\t23.000000\n1414963213\t23.000000\n1414963814\t23.000000\n1414964414\t23.000000\n1414965015\t23.000000\n1414965615\t23.000000\n1414966216\t22.940000\n1414966816\t22.880000\n1414967417\t22.880000\n1414968017\t22.810000\n1414968618\t22.750000\n1414969219\t22.750000\n1414969819\t22.750000\n1414970420\t22.690000\n1414971020\t22.560000\n1414971621\t22.560000\n1414972221\t22.560000\n1414972822\t22.620000\n1414973422\t22.620000\n1414974023\t22.620000\n1414974623\t22.620000\n1414975224\t22.690000\n1414975824\t22.750000\n1414976425\t22.690000\n1414977026\t22.620000\n1414977626\t22.560000\n1414978227\t22.500000\n1414978827\t22.560000\n1414979428\t22.620000\n1414980028\t22.690000\n1414980629\t22.620000\n1414981229\t22.560000\n1414981830\t22.560000\n1414982430\t22.560000\n1414983031\t22.560000\n1414983632\t22.560000\n1414984232\t22.560000\n1414984833\t22.560000\n1414985433\t22.560000\n1414986034\t22.560000\n1414986634\t22.560000\n1414987235\t22.560000\n1414987835\t22.560000\n1414988436\t22.620000\n1414989037\t22.620000\n1414989637\t22.690000\n1414990238\t22.620000\n1414990838\t22.690000\n1414991439\t22.560000\n1414992039\t22.620000\n1414992640\t22.620000\n1414993240\t22.620000\n1414993841\t22.620000\n1414994441\t22.620000\n1414995042\t22.750000\n1414995642\t22.750000\n1414996243\t22.750000\n1414996844\t22.750000\n1414997444\t22.750000\n1414998045\t22.690000\n1414998645\t22.690000\n1414999246\t22.750000\n1414999846\t22.620000\n1415000447\t22.620000\n1415001047\t22.620000\n1415001648\t22.620000\n1415002249\t22.690000\n1415002849\t22.620000\n1415003450\t22.620000\n1415004050\t22.620000\n1415004651\t22.560000\n1415005251\t22.560000\n1415005852\t22.560000\n1415006452\t22.440000\n1415007053\t22.500000\n1415007654\t22.500000\n1415008254\t22.440000\n1415008855\t22.380000\n1415009455\t22.380000\n1415010056\t22.310000\n1415010656\t22.310000\n1415011257\t22.310000\n1415011857\t22.310000\n1415012473\t22.250000\n1415013073\t22.250000\n1415013674\t22.380000\n1415014275\t22.310000\n1415014875\t22.500000\n1415015476\t22.560000\n1415016076\t22.690000\n1415016677\t22.750000\n1415017277\t22.620000\n1415017878\t22.690000\n1415018479\t22.690000\n1415019079\t22.690000\n1415019680\t22.750000\n1415020280\t22.810000\n1415020881\t22.810000\n1415021481\t22.810000\n1415022082\t22.880000\n1415022683\t22.880000\n1415023283\t22.940000\n1415023884\t22.880000\n1415024484\t22.880000\n1415025085\t22.940000\n1415025685\t22.940000\n1415026286\t22.940000\n1415026886\t23.000000\n1415027487\t23.000000\n1415028087\t23.000000\n1415028688\t23.000000\n1415029289\t23.000000\n1415029889\t23.060000\n1415030505\t23.120000\n1415031105\t23.060000\n1415031706\t23.120000\n1415032306\t23.060000\n1415032907\t23.060000\n1415033507\t23.060000\n1415034108\t23.060000\n1415034708\t23.120000\n1415035309\t23.120000\n1415035910\t23.120000\n1415036510\t23.190000\n1415037111\t23.190000\n1415037711\t23.190000\n1415038312\t23.120000\n1415038912\t23.120000\n1415039513\t23.120000\n1415040114\t23.060000\n1415040714\t23.060000\n1415041315\t23.000000\n1415041915\t23.000000\n1415042516\t23.000000\n1415043116\t22.940000\n1415043717\t23.000000\n1415044317\t23.060000\n1415044918\t23.060000\n1415045518\t23.120000\n1415046119\t23.060000\n1415046720\t23.000000\n1415047320\t23.060000\n1415047921\t23.060000\n1415048521\t23.060000\n1415049122\t23.060000\n1415049737\t23.060000\n1415050338\t23.060000\n1415050938\t23.120000\n1415051539\t23.120000\n1415052140\t23.120000\n1415052740\t23.120000\n1415053341\t23.120000\n1415053941\t23.120000\n1415054542\t23.060000\n1415055142\t23.060000\n1415055743\t23.060000\n1415056343\t23.000000\n1415056944\t23.060000\n1415057545\t23.060000\n1415058145\t23.060000\n1415058746\t23.120000\n1415059346\t23.120000\n1415059947\t23.190000\n1415060547\t23.190000\n1415061148\t23.190000\n1415061748\t23.190000\n1415062349\t23.190000\n1415062950\t23.120000\n1415063550\t23.190000\n1415064151\t23.250000\n1415064751\t23.250000\n1415065352\t23.250000\n1415065952\t23.250000\n1415066553\t23.250000\n1415067153\t23.250000\n1415067754\t23.250000\n1415068354\t23.250000\n1415068955\t23.250000\n1415069555\t23.250000\n1415070171\t23.310000\n1415070772\t23.380000\n1415071372\t23.310000\n1415071973\t23.310000\n1415072573\t23.380000\n1415073174\t23.310000\n1415073774\t23.190000\n1415074375\t23.190000\n1415074976\t23.310000\n1415075576\t23.250000\n1415076177\t23.250000\n1415076777\t23.190000\n1415077378\t23.120000\n1415077978\t23.120000\n1415078579\t23.060000\n1415079179\t23.120000\n1415079780\t23.000000\n1415080380\t23.000000\n1415080981\t22.810000\n1415081582\t22.810000\n1415082182\t22.750000\n1415082783\t22.750000\n1415083383\t22.750000\n1415083984\t22.750000\n1415084584\t22.880000\n1415085185\t22.880000\n1415085785\t22.880000\n1415086386\t22.880000\n1415086987\t22.880000\n1415087587\t22.810000\n1415088188\t22.750000\n1415088788\t22.880000\n1415089389\t22.750000\n1415089989\t22.810000\n1415090605\t22.750000\n1415091205\t22.750000\n1415091806\t22.750000\n1415092407\t22.690000\n1415093007\t22.750000\n1415093608\t22.750000\n1415094208\t22.690000\n1415094809\t22.620000\n1415095409\t22.620000\n1415096010\t22.560000\n1415096610\t22.500000\n1415097211\t22.440000\n1415097812\t22.440000\n1415098412\t22.440000\n1415099013\t22.500000\n1415099613\t22.500000\n1415100214\t22.560000\n1415100814\t22.620000\n1415101415\t22.440000\n1415102015\t22.620000\n1415102616\t22.750000\n1415103216\t22.940000\n1415103817\t23.000000\n1415104418\t23.000000\n1415105018\t23.000000\n1415105619\t23.060000\n1415106219\t23.060000\n1415106820\t23.120000\n1415107420\t23.190000\n1415108021\t23.190000\n1415108621\t23.190000\n1415109222\t23.250000\n1415109822\t23.250000\n1415110423\t23.190000\n1415111039\t23.190000\n1415111639\t23.120000\n1415112240\t23.120000\n1415112840\t23.190000\n1415113441\t23.190000\n1415114041\t23.190000\n1415114642\t23.120000\n1415115242\t23.120000\n1415115843\t23.190000\n1415116443\t23.250000\n1415117044\t23.310000\n1415117645\t23.380000\n1415118245\t23.380000\n1415118846\t23.380000\n1415119446\t23.380000\n1415120047\t23.380000\n1415120647\t23.310000\n1415121248\t23.310000\n1415121848\t23.310000\n1415122449\t23.380000\n1415123050\t23.310000\n1415123650\t23.310000\n1415124251\t23.310000\n1415124851\t23.380000\n1415125452\t23.310000\n1415126052\t23.380000\n1415126653\t23.380000\n1415127253\t23.440000\n1415127854\t23.380000\n1415128455\t23.380000\n1415129055\t23.440000\n1415129656\t23.380000\n1415130271\t23.310000\n1415130872\t23.380000\n1415131472\t23.440000\n1415132073\t23.440000\n1415132673\t23.380000\n1415133274\t23.440000\n1415133874\t23.440000\n1415134475\t23.440000\n1415135076\t23.440000\n1415135676\t23.500000\n1415136277\t23.500000\n1415136877\t23.500000\n1415137478\t23.500000\n1415138078\t23.440000\n1415138679\t23.440000\n1415139279\t23.500000\n1415139880\t23.440000\n1415140481\t23.440000\n1415141081\t23.500000\n1415141682\t23.500000\n1415142282\t23.500000\n1415142883\t23.440000\n1415143483\t23.500000\n1415144084\t23.500000\n1415144684\t23.500000\n1415145285\t23.500000\n1415145885\t23.500000\n1415146486\t23.500000\n1415147086\t23.500000\n1415147687\t23.500000\n1415148287\t23.500000\n1415148903\t23.500000\n1415149503\t23.500000\n1415150104\t23.440000\n1415150705\t23.500000\n1415151305\t23.440000\n1415151906\t23.440000\n1415152506\t23.380000\n1415153107\t23.310000\n1415153707\t23.250000\n1415154308\t23.190000\n1415154908\t23.120000\n1415155509\t23.120000\n1415156109\t23.060000\n1415156710\t22.940000\n1415157311\t22.940000\n1415157911\t22.880000\n1415158512\t22.880000\n1415159112\t22.810000\n1415159713\t22.750000\n1415160313\t22.750000\n1415160914\t22.750000\n1415161514\t22.750000\n1415162115\t22.750000\n1415162715\t22.690000\n1415163316\t22.620000\n1415163917\t22.620000\n1415164517\t22.560000\n1415165118\t22.560000\n1415165718\t22.500000\n1415166319\t22.500000\n1415166919\t22.500000\n1415167535\t22.500000\n1415168135\t22.440000\n1415168736\t22.500000\n1415169336\t22.440000\n1415169937\t22.440000\n1415170538\t22.380000\n1415171138\t22.380000\n1415171739\t22.310000\n1415172339\t22.310000\n1415172940\t22.310000\n1415173540\t22.250000\n1415174141\t22.190000\n1415174741\t22.120000\n1415175342\t22.120000\n1415175942\t22.060000\n1415176543\t22.060000\n1415177143\t22.060000\n1415177744\t22.060000\n1415178345\t22.120000\n1415178945\t22.060000\n1415179546\t22.000000\n1415180146\t21.940000\n1415180747\t22.000000\n1415181347\t21.940000\n1415181948\t21.940000\n1415182548\t21.880000\n1415183149\t21.810000\n1415183749\t21.810000\n1415184350\t21.750000\n1415184950\t21.810000\n1415185551\t21.880000\n1415186152\t21.880000\n1415186767\t21.810000\n1415187368\t21.810000\n1415187968\t21.810000\n1415188569\t21.880000\n1415189169\t21.880000\n1415189770\t21.880000\n1415190370\t21.880000\n1415190971\t21.880000\n1415191571\t21.880000\n1415192172\t21.880000\n1415192773\t21.880000\n1415193373\t21.810000\n1415193974\t21.880000\n1415194574\t21.880000\n1415195175\t21.810000\n1415195775\t21.750000\n1415196376\t21.690000\n1415196976\t21.690000\n1415197577\t21.750000\n1415198178\t21.690000\n1415198778\t21.690000\n1415199379\t21.690000\n1415199979\t21.690000\n1415200580\t21.690000\n1415201180\t21.620000\n1415201781\t21.690000\n1415202381\t21.620000\n1415202982\t21.620000\n1415203597\t21.690000\n1415204198\t21.690000\n1415204799\t21.620000\n1415205399\t21.620000\n1415206000\t21.560000\n1415206600\t21.560000\n1415207201\t21.500000\n1415207801\t21.500000\n1415208402\t21.500000\n1415209002\t21.440000\n1415209603\t21.000000\n1415210203\t21.120000\n1415210804\t21.190000\n1415211405\t21.250000\n1415212005\t21.250000\n1415212606\t21.250000\n1415213206\t21.310000\n1415213807\t21.310000\n1415214407\t21.380000\n1415215008\t21.250000\n1415215608\t21.250000\n1415216209\t21.250000\n1415216810\t21.310000\n1415217410\t21.250000\n1415218011\t21.190000\n1415218611\t21.190000\n1415219212\t21.190000\n1415219812\t21.120000\n1415220413\t21.060000\n1415221013\t21.060000\n1415221614\t21.060000\n1415222214\t21.060000\n1415222830\t21.060000\n1415223430\t21.060000\n1415224031\t21.060000\n1415224631\t21.120000\n1415225232\t21.120000\n1415225833\t21.120000\n1415226433\t21.120000\n1415227034\t21.060000\n1415227634\t21.120000\n1415228235\t21.120000\n1415228835\t21.060000\n1415229436\t21.060000\n1415230036\t21.120000\n1415230637\t21.120000\n1415231237\t21.060000\n1415231838\t21.060000\n1415232438\t21.060000\n1415233039\t21.060000\n1415233640\t21.060000\n1415234240\t21.060000\n1415234841\t21.000000\n1415235441\t21.000000\n1415236042\t21.000000\n1415236642\t21.000000\n1415237243\t21.000000\n1415237844\t20.940000\n1415238444\t20.940000\n1415239045\t20.940000\n1415239660\t20.880000\n1415240261\t20.810000\n1415240861\t20.750000\n1415241462\t20.750000\n1415242062\t20.620000\n1415242663\t20.620000\n1415243263\t20.620000\n1415243864\t20.560000\n1415244465\t20.560000\n1415245065\t20.620000\n1415245666\t20.620000\n1415246266\t20.620000\n1415246867\t20.560000\n1415247467\t20.560000\n1415248068\t20.500000\n1415248668\t20.440000\n1415249269\t20.440000\n1415249869\t20.380000\n1415250470\t20.380000\n1415251070\t20.440000\n1415251671\t20.440000\n1415252271\t20.500000\n1415252872\t20.440000\n1415253473\t20.440000\n1415254073\t20.310000\n1415254674\t20.190000\n1415255289\t20.190000\n1415255890\t20.120000\n1415256490\t20.060000\n1415257091\t20.060000\n1415257691\t20.120000\n1415258292\t20.190000\n1415258892\t20.310000\n1415259493\t20.380000\n1415260094\t20.440000\n1415260694\t20.440000\n1415261295\t20.500000\n1415261895\t20.560000\n1415262496\t20.560000\n1415263096\t20.560000\n1415263697\t20.560000\n1415264297\t20.560000\n1415264898\t20.500000\n1415265498\t20.500000\n1415266099\t20.560000\n1415266699\t20.560000\n1415267300\t20.560000\n1415267901\t20.560000\n1415268501\t20.500000\n1415269102\t20.500000\n1415269702\t20.500000\n1415270303\t20.500000\n1415270903\t20.500000\n1415271504\t20.500000\n1415272104\t20.500000\n1415272720\t20.500000\n1415273321\t20.500000\n1415273921\t20.500000\n1415274522\t20.500000\n1415275122\t20.500000\n1415275723\t20.560000\n1415276323\t20.500000\n1415276924\t20.560000\n1415277524\t20.560000\n1415278125\t20.560000\n1415278725\t20.560000\n1415279326\t20.560000\n1415279926\t20.560000\n1415280527\t20.560000\n1415281128\t20.500000\n1415281728\t20.560000\n1415282329\t20.560000\n1415282929\t20.500000\n1415283530\t20.500000\n1415284130\t20.500000\n1415284731\t20.500000\n1415285331\t20.500000\n1415285932\t20.440000\n1415286532\t20.440000\n1415287133\t20.440000\n1415287733\t20.500000\n1415288334\t20.500000\n1415288935\t20.500000\n1415289535\t20.500000\n1415290136\t20.500000\n1415290751\t20.500000\n1415291352\t20.500000\n1415291952\t20.500000\n1415292553\t20.560000\n1415293153\t20.500000\n1415293754\t20.500000\n1415294354\t20.440000\n1415294955\t20.500000\n1415295555\t20.500000\n1415296156\t20.500000\n1415296756\t20.500000\n1415297357\t20.500000\n1415297958\t20.500000\n1415298558\t20.500000\n1415299159\t20.500000\n1415299759\t20.500000\n1415300360\t20.500000\n1415300960\t20.440000\n1415301561\t20.500000\n1415302161\t20.500000\n1415302762\t20.500000\n1415303363\t20.500000\n1415303963\t20.500000\n1415304564\t20.500000\n1415305164\t20.440000\n1415305765\t20.500000\n1415306365\t20.440000\n1415306966\t20.500000\n1415307566\t20.500000\n1415308182\t20.500000\n1415308783\t20.440000\n1415309383\t20.440000\n1415309984\t20.440000\n1415310584\t20.440000\n1415311185\t20.500000\n1415311785\t20.500000\n1415312386\t20.500000\n1415312986\t20.500000\n1415313587\t20.500000\n1415314188\t20.440000\n1415314788\t20.440000\n1415315389\t20.440000\n1415315989\t20.500000\n1415316590\t20.500000\n1415317190\t20.500000\n1415317791\t20.440000\n1415318391\t20.500000\n1415318992\t20.440000\n1415319592\t20.440000\n1415320193\t20.440000\n1415320793\t20.440000\n1415321394\t20.440000\n1415321995\t20.440000\n1415322595\t20.440000\n1415323196\t20.440000\n1415323796\t20.440000\n1415324397\t20.380000\n1415324997\t20.440000\n1415325598\t20.440000\n1415326198\t20.440000\n1415326814\t20.440000\n1415327415\t20.440000\n1415328015\t20.380000\n1415328616\t20.380000\n1415329216\t20.380000\n1415329817\t20.380000\n1415330417\t20.380000\n1415331018\t20.380000\n1415331618\t20.380000\n1415332219\t20.380000\n1415332819\t20.380000\n1415333420\t20.380000\n1415334021\t20.380000\n1415334621\t20.380000\n1415335222\t20.380000\n1415335822\t20.380000\n1415336423\t20.380000\n1415337023\t20.380000\n1415337624\t20.380000\n1415338224\t20.380000\n1415338825\t20.310000\n1415339425\t20.310000\n1415340026\t20.310000\n1415340626\t20.380000\n1415341227\t20.310000\n1415341828\t20.310000\n1415342428\t20.310000\n1415343029\t20.310000\n1415343629\t20.250000\n1415344230\t20.250000\n1415344830\t20.250000\n1415345446\t20.250000\n1415346046\t20.190000\n1415346647\t20.120000\n1415347248\t20.120000\n1415347848\t20.120000\n1415348449\t20.120000\n1415349049\t20.120000\n1415349650\t20.060000\n1415350250\t20.060000\n1415350851\t20.000000\n1415351451\t20.000000\n1415352052\t20.000000\n1415352652\t20.000000\n1415353253\t20.000000\n1415353854\t20.000000\n1415354454\t19.940000\n1415355055\t19.940000\n1415355655\t19.940000\n1415356256\t19.940000\n1415356856\t19.940000\n1415357457\t19.940000\n1415358057\t19.940000\n1415358658\t19.940000\n1415359259\t19.940000\n1415359859\t19.940000\n1415360460\t19.940000\n1415361060\t19.940000\n1415361661\t19.940000\n1415362261\t19.940000\n1415362862\t19.880000\n1415363462\t19.940000\n1415364063\t19.880000\n1415364664\t19.880000\n1415365279\t19.810000\n1415365880\t19.880000\n1415366480\t19.880000\n1415367081\t19.880000\n1415367681\t19.880000\n1415368282\t19.880000\n1415368882\t19.880000\n1415369483\t19.880000\n1415370083\t19.880000\n1415370684\t19.880000\n1415371284\t19.880000\n1415371885\t19.810000\n1415372486\t19.810000\n1415373086\t19.810000\n1415373687\t19.810000\n1415374287\t19.810000\n1415374888\t19.810000\n1415375488\t19.810000\n1415376089\t19.810000\n1415376690\t19.810000\n1415377290\t19.810000\n1415377891\t19.810000\n1415378491\t19.880000\n1415379092\t19.810000\n1415379692\t19.810000\n1415380293\t19.810000\n1415380893\t19.810000\n1415381494\t19.810000\n1415382095\t19.810000\n1415382695\t19.810000\n1415383296\t19.810000\n1415383911\t19.810000\n1415384512\t19.810000\n1415385112\t19.810000\n1415385713\t19.810000\n1415386313\t19.810000\n1415386914\t19.810000\n1415387515\t19.810000\n1415388115\t19.880000\n1415388716\t19.880000\n1415389316\t19.880000\n1415389917\t19.880000\n1415390517\t19.880000\n1415391118\t19.880000\n1415391718\t19.880000\n1415392319\t19.880000\n1415392919\t19.880000\n1415393520\t19.880000\n1415394121\t19.880000\n1415394721\t19.880000\n1415395322\t19.880000\n1415395922\t19.880000\n1415396523\t19.880000\n1415397123\t19.940000\n1415397724\t19.940000\n1415398324\t19.880000\n1415398925\t19.880000\n1415399526\t19.880000\n1415400126\t19.880000\n1415400727\t19.880000\n1415401327\t19.880000\n1415401943\t19.880000\n1415402543\t19.940000\n1415403144\t19.880000\n1415403744\t19.940000\n1415404345\t19.880000\n1415404945\t19.880000\n1415405546\t19.880000\n1415406147\t19.880000\n1415406747\t19.880000\n1415407348\t19.880000\n1415407948\t19.880000\n1415408549\t19.880000\n1415409149\t19.880000\n1415409750\t19.880000\n1415410350\t19.880000\n1415410951\t19.940000\n1415411551\t19.940000\n1415412152\t19.940000\n1415412752\t19.880000\n1415413353\t19.880000\n1415413953\t19.880000\n1415414554\t19.880000\n1415415154\t19.880000\n1415415755\t19.880000\n1415416356\t19.880000\n1415416956\t19.810000\n1415417557\t19.810000\n1415418157\t19.810000\n1415418758\t19.810000\n1415419358\t19.810000\n1415419974\t19.810000\n1415420574\t19.880000\n1415421175\t19.810000\n1415421776\t19.880000\n1415422376\t19.810000\n1415422977\t19.880000\n1415423577\t19.880000\n1415424178\t19.880000\n1415424778\t19.880000\n1415425379\t19.810000\n1415425979\t19.880000\n1415426580\t19.880000\n1415427180\t19.880000\n1415427781\t19.880000\n1415428382\t19.880000\n1415428982\t19.880000\n1415429583\t19.880000\n1415430183\t19.810000\n1415430784\t19.880000\n1415431384\t19.880000\n1415431985\t19.810000\n1415432585\t19.880000\n1415433186\t19.880000\n1415433787\t19.880000\n1415434387\t19.880000\n1415434988\t19.880000\n1415435588\t19.810000\n1415436189\t19.810000\n1415436789\t19.810000\n1415437390\t19.810000\n1415437990\t19.810000\n1415438591\t19.880000\n1415439206\t19.810000\n1415439807\t19.880000\n1415440407\t19.880000\n1415441008\t19.810000\n1415441609\t19.880000\n1415442209\t19.880000\n1415442810\t19.810000\n1415443410\t19.880000\n1415444011\t19.880000\n1415444611\t19.880000\n1415445212\t19.810000\n1415445812\t19.880000\n1415446413\t19.880000\n1415447013\t19.880000\n1415447614\t19.880000\n1415448215\t19.880000\n1415448815\t19.940000\n1415449416\t19.940000\n1415450016\t19.940000\n1415450617\t19.940000\n1415451217\t19.940000\n1415451818\t19.940000\n1415452418\t19.940000\n1415453019\t19.940000\n1415453620\t19.940000\n1415454220\t19.940000\n1415454821\t19.940000\n1415455421\t20.000000\n1415456022\t20.000000\n1415456622\t20.000000\n1415457223\t20.000000\n1415457823\t20.000000\n1415458424\t19.940000\n1415459024\t19.880000\n1415459625\t19.880000\n1415460241\t19.880000\n1415460841\t19.880000\n1415461442\t19.940000\n1415462042\t20.000000\n1415462643\t20.000000\n1415463243\t20.000000\n1415463844\t19.940000\n1415464444\t19.940000\n1415465045\t19.880000\n1415465645\t19.880000\n1415466246\t19.880000\n1415466847\t19.880000\n1415467447\t19.880000\n1415468048\t19.940000\n1415468648\t19.940000\n1415469249\t19.940000\n1415469849\t20.000000\n1415470450\t20.000000\n1415471050\t20.060000\n1415471651\t20.060000\n1415472251\t20.060000\n1415472852\t20.060000\n1415473452\t20.120000\n1415474053\t20.120000\n1415474653\t20.120000\n1415475254\t20.120000\n1415475855\t20.120000\n1415476455\t20.060000\n1415477056\t20.060000\n1415477656\t20.000000\n1415478257\t19.880000\n1415478857\t19.880000\n1415479458\t19.810000\n1415480058\t19.880000\n1415480659\t19.880000\n1415481275\t19.940000\n1415481875\t19.940000\n1415482476\t19.940000\n1415483076\t19.880000\n1415483677\t19.880000\n1415484277\t19.880000\n1415484878\t19.880000\n1415485478\t19.940000\n1415486079\t19.940000\n1415486680\t19.940000\n1415487280\t19.940000\n1415487881\t19.940000\n1415488481\t20.000000\n1415489082\t20.120000\n1415489682\t20.190000\n1415490283\t20.190000\n1415490883\t20.190000\n1415491484\t20.250000\n1415492084\t20.250000\n1415492685\t20.250000\n1415493285\t20.250000\n1415493886\t20.250000\n1415494487\t20.250000\n1415495087\t20.310000\n1415495688\t20.250000\n1415496288\t20.250000\n1415496889\t20.310000\n1415497489\t20.250000\n1415498090\t20.310000\n1415498690\t20.310000\n1415499291\t20.310000\n1415499891\t20.310000\n1415500507\t20.310000\n1415501108\t20.250000\n1415501708\t20.310000\n1415502309\t20.310000\n1415502909\t20.310000\n1415503510\t20.380000\n1415504110\t20.380000\n1415504711\t20.380000\n1415505311\t20.380000\n1415505912\t20.380000\n1415506512\t20.380000\n1415507113\t20.380000\n1415507713\t20.380000\n1415508314\t20.440000\n1415508915\t20.380000\n1415509515\t20.380000\n1415510116\t20.380000\n1415510716\t20.380000\n1415511317\t20.440000\n1415511917\t20.500000\n1415512518\t20.500000\n1415513118\t20.500000\n1415513719\t20.500000\n1415514319\t20.560000\n1415514920\t20.560000\n1415515521\t20.560000\n1415516136\t20.560000\n1415516737\t20.560000\n1415517337\t20.560000\n1415517938\t20.560000\n1415518538\t20.560000\n1415519139\t20.500000\n1415519739\t20.500000\n1415520340\t20.560000\n1415520940\t20.560000\n1415521541\t20.560000\n1415522142\t20.560000\n1415522742\t20.560000\n1415523343\t20.560000\n1415523943\t20.560000\n1415524544\t20.560000\n1415525144\t20.620000\n1415525745\t20.620000\n1415526345\t20.620000\n1415526946\t20.560000\n1415527547\t20.560000\n1415528147\t20.560000\n1415528748\t20.560000\n1415529348\t20.500000\n1415529949\t20.500000\n1415530549\t20.500000\n1415531150\t20.440000\n1415531750\t20.440000\n1415532351\t20.500000\n1415532952\t20.440000\n1415533552\t20.440000\n1415534153\t20.500000\n1415534753\t20.500000\n1415535369\t20.500000\n1415535969\t20.560000\n1415536570\t20.560000\n1415537170\t20.560000\n1415537771\t20.560000\n1415538371\t20.560000\n1415538972\t20.560000\n1415539573\t20.500000\n1415540173\t20.500000\n1415540774\t20.500000\n1415541374\t20.560000\n1415541975\t20.620000\n1415542575\t20.560000\n1415543176\t20.620000\n1415543776\t20.620000\n1415544377\t20.620000\n1415544978\t20.620000\n1415545578\t20.690000\n1415546179\t20.690000\n1415546779\t20.750000\n1415547380\t20.750000\n1415547980\t20.750000\n1415548581\t20.750000\n1415549181\t20.750000\n1415549782\t20.750000\n1415550383\t20.750000\n1415550983\t20.750000\n1415551584\t20.750000\n1415552184\t20.810000\n1415552785\t20.810000\n1415553385\t20.810000\n1415553986\t20.810000\n1415554601\t20.810000\n1415555202\t20.810000\n1415555802\t20.810000\n1415556403\t20.810000\n1415557004\t20.880000\n1415557604\t20.880000\n1415558205\t20.880000\n1415558805\t20.810000\n1415559406\t20.810000\n1415560006\t20.750000\n1415560607\t20.810000\n1415561207\t20.880000\n1415561808\t20.880000\n1415562408\t20.880000\n1415563009\t20.880000\n1415563609\t20.940000\n1415564210\t20.940000\n1415564810\t20.940000\n1415565411\t20.940000\n1415566012\t21.000000\n1415566612\t20.940000\n1415567213\t20.940000\n1415567813\t20.940000\n1415568414\t20.940000\n1415569014\t20.940000\n1415569615\t20.940000\n1415570231\t21.000000\n1415570831\t21.000000\n1415571432\t21.000000\n1415572032\t21.000000\n1415572633\t21.000000\n1415573233\t21.000000\n1415573834\t21.000000\n1415574434\t21.000000\n1415575035\t21.000000\n1415575635\t21.060000\n1415576236\t21.060000\n1415576837\t21.060000\n1415577437\t21.060000\n1415578038\t21.060000\n1415578638\t21.060000\n1415579239\t21.060000\n1415579839\t21.120000\n1415580440\t21.060000\n1415581040\t21.120000\n1415581641\t21.120000\n1415582241\t21.120000\n1415582842\t21.120000\n1415583443\t21.120000\n1415584043\t21.190000\n1415584644\t21.120000\n1415585244\t21.190000\n1415585845\t21.190000\n1415586445\t21.190000\n1415587061\t21.190000\n1415587661\t21.120000\n1415588262\t21.190000\n1415588863\t21.190000\n1415589463\t21.190000\n1415590064\t21.190000\n1415590664\t21.190000\n1415591265\t21.190000\n1415591865\t21.190000\n1415592466\t21.190000\n1415593066\t21.190000\n1415593667\t21.190000\n1415594267\t21.190000\n1415594868\t21.250000\n1415595468\t21.250000\n1415596069\t21.250000\n1415596670\t21.250000\n1415597270\t21.250000\n1415597871\t21.250000\n1415598471\t21.310000\n1415599072\t21.250000\n1415599672\t21.310000\n1415600273\t21.310000\n1415600873\t21.310000\n1415601474\t21.310000\n1415602074\t21.310000\n1415602675\t21.310000\n1415603276\t21.380000\n1415603876\t21.310000\n1415604477\t21.310000\n1415605077\t21.310000\n1415605693\t21.310000\n1415606293\t21.310000\n1415606894\t21.310000\n1415607494\t21.310000\n1415608095\t21.380000\n1415608696\t21.380000\n1415609296\t21.380000\n1415609897\t21.310000\n1415610497\t21.380000\n1415611098\t21.310000\n1415611698\t21.380000\n1415612299\t21.380000\n1415612899\t21.380000\n1415613500\t21.380000\n1415614101\t21.440000\n1415614701\t21.440000\n1415615302\t21.500000\n1415615902\t21.500000\n1415616503\t21.440000\n1415617103\t21.500000\n1415617704\t21.500000\n1415618304\t21.560000\n1415618905\t21.560000\n1415619505\t21.500000\n1415620106\t21.500000\n1415620707\t21.500000\n1415621307\t21.500000\n1415621923\t21.500000\n1415622523\t21.560000\n1415623124\t21.500000\n1415623724\t21.500000\n1415624325\t21.500000\n1415624925\t21.500000\n1415625526\t21.560000\n1415626126\t21.560000\n1415626727\t21.620000\n1415627328\t21.620000\n1415627928\t21.620000\n1415628529\t21.620000\n1415629129\t21.620000\n1415629730\t21.620000\n1415630330\t21.620000\n1415630931\t21.620000\n1415631531\t21.620000\n1415632132\t21.620000\n1415632732\t21.620000\n1415633333\t21.620000\n1415633933\t21.620000\n1415634534\t21.690000\n1415635134\t21.690000\n1415635735\t21.690000\n1415636336\t21.690000\n1415636936\t21.690000\n1415637537\t21.750000\n1415638152\t21.750000\n1415638753\t21.750000\n1415639353\t21.750000\n1415639954\t21.750000\n1415640554\t21.750000\n1415641155\t21.750000\n1415641755\t21.690000\n1415642356\t21.620000\n1415642956\t21.690000\n1415643557\t21.440000\n1415644158\t21.560000\n1415644758\t21.500000\n1415645359\t21.250000\n1415645959\t21.440000\n1415646560\t21.560000\n1415647160\t21.620000\n1415647761\t21.690000\n1415648361\t21.750000\n1415648962\t21.750000\n1415649562\t21.750000\n1415650163\t21.750000\n1415650764\t21.750000\n1415651364\t21.750000\n1415651965\t21.750000\n1415652565\t21.810000\n1415653166\t21.750000\n1415653766\t21.810000\n1415654367\t21.810000\n1415654967\t21.810000\n1415655568\t21.810000\n1415656183\t21.880000\n1415656784\t21.810000\n1415657385\t21.810000\n1415657985\t21.810000\n1415658586\t21.810000\n1415659186\t21.810000\n1415659787\t21.810000\n1415660387\t21.880000\n1415660988\t21.880000\n1415661588\t21.880000\n1415662189\t21.940000\n1415662789\t22.000000\n1415663390\t22.000000\n1415663991\t21.940000\n1415664591\t22.000000\n1415665192\t21.940000\n1415665792\t21.880000\n1415666393\t21.880000\n1415666993\t21.880000\n1415667594\t21.880000\n1415668194\t21.880000\n1415668795\t21.880000\n1415669395\t21.880000\n1415669996\t21.880000\n1415670597\t21.880000\n1415671197\t21.810000\n1415671798\t21.880000\n1415672398\t21.880000\n1415672999\t21.880000\n1415673599\t21.880000\n1415674200\t21.880000\n1415674815\t21.940000\n1415675416\t21.880000\n1415676017\t21.880000\n1415676617\t21.880000\n1415677218\t21.880000\n1415677818\t21.940000\n1415678419\t21.880000\n1415679019\t21.880000\n1415679620\t21.880000\n1415680220\t21.880000\n1415680821\t21.880000\n1415681422\t21.880000\n1415682022\t21.880000\n1415682623\t21.880000\n1415683223\t21.880000\n1415683824\t21.880000\n1415684424\t21.940000\n1415685025\t21.880000\n1415685625\t21.880000\n1415686226\t21.880000\n1415686827\t21.880000\n1415687427\t21.810000\n1415688028\t21.810000\n1415688628\t21.880000\n1415689229\t21.810000\n1415689829\t21.810000\n1415690430\t21.810000\n1415691030\t21.810000\n1415691646\t21.810000\n1415692246\t21.880000\n1415692847\t21.880000\n1415693448\t21.940000\n1415694048\t21.880000\n1415694649\t21.880000\n1415695249\t21.880000\n1415695850\t21.810000\n1415696450\t21.810000\n1415697051\t21.810000\n1415697651\t21.810000\n1415698252\t21.750000\n1415698852\t21.810000\n1415699453\t21.810000\n1415700053\t21.810000\n1415700654\t21.880000\n1415701255\t21.810000\n1415701855\t21.880000\n1415702456\t21.880000\n1415703056\t21.880000\n1415703657\t21.810000\n1415704257\t21.810000\n1415704858\t21.880000\n1415705458\t21.880000\n1415706059\t21.880000\n1415706660\t21.880000\n1415707260\t21.880000\n1415707861\t21.810000\n1415708461\t21.880000\n1415709062\t21.880000\n1415709662\t21.880000\n1415710278\t21.940000\n1415710878\t21.940000\n1415711479\t21.940000\n1415712079\t22.000000\n1415712680\t22.060000\n1415713280\t22.060000\n1415713881\t22.120000\n1415714482\t22.060000\n1415715082\t22.120000\n1415715683\t22.120000\n1415716283\t22.120000\n1415716884\t22.120000\n1415717287\t22.120000\n1415721323\t22.250000\n1415721924\t22.250000\n1415722524\t22.190000\n1415723125\t22.250000\n1415723726\t22.250000\n1415724326\t22.250000\n1415724927\t22.250000\n1415725527\t22.250000\n1415726128\t22.250000\n1415726728\t22.250000\n1415727329\t22.250000\n1415727930\t22.250000\n1415728530\t22.250000\n1415729131\t22.250000\n1415729731\t22.250000\n1415730332\t22.250000\n1415730932\t22.250000\n1415731533\t22.190000\n1415732133\t22.250000\n1415732734\t22.250000\n1415733335\t22.250000\n1415733935\t22.250000\n1415734536\t22.250000\n1415735136\t22.190000\n1415735737\t22.190000\n1415736337\t22.250000\n1415736938\t22.250000\n1415737538\t22.250000\n1415738154\t22.250000\n1415738754\t22.250000\n1415739355\t22.250000\n1415739956\t22.250000\n1415740556\t22.250000\n1415741157\t22.250000\n1415741757\t22.250000\n1415742358\t22.250000\n1415742958\t22.250000\n1415743559\t22.250000\n1415744159\t22.250000\n1415744760\t22.250000\n1415745361\t22.250000\n1415745961\t22.250000\n1415746562\t22.190000\n1415747162\t22.190000\n1415747763\t22.190000\n1415748363\t22.250000\n1415748964\t22.250000\n1415749565\t22.250000\n1415750165\t22.250000\n1415750766\t22.250000\n1415751366\t22.190000\n1415751967\t22.250000\n1415752567\t22.250000\n1415753168\t22.190000\n1415753768\t22.190000\n1415754369\t22.250000\n1415754969\t22.190000\n1415755570\t22.190000\n1415756171\t22.190000\n1415756771\t22.190000\n1415757372\t22.190000\n1415757972\t22.190000\n1415758588\t22.190000\n1415759188\t22.190000\n1415759789\t22.190000\n1415760389\t22.190000\n1415760990\t22.250000\n1415761591\t22.250000\n1415762191\t22.190000\n1415762792\t22.190000\n1415763392\t22.250000\n1415763993\t22.190000\n1415764593\t22.250000\n1415765194\t22.250000\n1415765794\t22.250000\n1415766395\t22.190000\n1415766995\t22.250000\n1415767596\t22.190000\n1415768197\t22.190000\n1415768797\t22.190000\n1415769398\t22.190000\n1415769998\t22.190000\n1415770599\t22.190000\n1415771199\t22.190000\n1415771800\t22.190000\n1415772400\t22.190000\n1415773001\t22.190000\n1415773602\t22.190000\n1415774202\t22.190000\n1415774803\t22.250000\n1415775403\t22.250000\n1415776004\t22.190000\n1415776604\t22.190000\n1415777205\t22.190000\n1415777805\t22.190000\n1415778421\t22.190000\n1415779021\t22.190000\n1415779622\t22.120000\n1415780223\t22.190000\n1415780823\t22.190000\n1415781424\t22.190000\n1415782024\t22.190000\n1415782625\t22.120000\n1415783225\t22.120000\n1415783826\t22.190000\n1415784426\t22.190000\n1415785027\t22.120000\n1415785628\t22.120000\n1415786228\t22.060000\n1415786829\t22.060000\n1415787429\t22.120000\n1415788030\t22.060000\n1415788630\t22.060000\n1415789231\t22.060000\n1415789831\t22.060000\n1415790432\t22.000000\n1415791032\t22.000000\n1415791633\t21.940000\n1415792233\t21.940000\n1415792834\t22.000000\n1415793435\t21.940000\n1415794035\t21.940000\n1415794636\t21.940000\n1415795236\t21.940000\n1415795837\t21.940000\n1415796437\t21.940000\n1415797038\t21.940000\n1415797653\t21.940000\n1415798254\t21.940000\n1415798854\t21.380000\n1415799455\t20.810000\n1415800056\t21.250000\n1415800656\t21.440000\n1415801257\t21.560000\n1415801857\t21.690000\n1415802458\t21.690000\n1415803058\t21.690000\n1415803659\t21.690000\n1415804259\t21.690000\n1415804860\t21.690000\n1415805460\t21.620000\n1415806061\t21.500000\n1415806661\t21.500000\n1415807262\t21.560000\n1415807862\t21.500000\n1415808463\t21.500000\n1415809064\t21.440000\n1415809664\t21.500000\n1415810265\t21.500000\n1415810865\t21.440000\n1415811466\t21.380000\n1415812066\t21.380000\n1415812667\t21.380000\n1415813267\t21.380000\n1415813868\t21.380000\n1415814468\t21.440000\n1415815069\t21.440000\n1415815670\t21.500000\n1415816285\t21.500000\n1415816886\t21.560000\n1415817486\t21.500000\n1415818087\t21.500000\n1415818687\t21.500000\n1415819288\t21.500000\n1415819888\t21.500000\n1415820489\t21.440000\n1415821089\t21.380000\n1415821690\t21.440000\n1415822291\t21.380000\n1415822891\t21.310000\n1415823492\t21.310000\n1415824092\t21.310000\n1415824693\t21.310000\n1415825293\t21.250000\n1415825894\t21.250000\n1415826494\t21.190000\n1415827095\t21.060000\n1415827695\t21.000000\n1415828296\t21.000000\n1415828896\t20.940000\n1415829497\t20.880000\n1415830097\t20.940000\n1415830698\t20.940000\n1415831299\t20.940000\n1415831899\t20.940000\n1415832500\t21.000000\n1415833100\t21.000000\n1415833701\t20.940000\n1415834316\t21.000000\n1415834917\t21.060000\n1415835517\t21.120000\n1415836118\t21.120000\n1415836719\t21.120000\n1415837319\t21.120000\n1415837920\t21.120000\n1415838520\t21.060000\n1415839121\t21.060000\n1415839721\t21.060000\n1415840322\t21.060000\n1415840922\t21.060000\n1415841523\t21.000000\n1415842123\t21.000000\n1415842724\t21.060000\n1415843324\t21.000000\n1415843925\t21.000000\n1415844525\t21.000000\n1415845126\t20.940000\n1415845726\t20.940000\n1415846327\t20.940000\n1415846928\t21.000000\n1415847528\t21.000000\n1415848129\t21.060000\n1415848729\t21.060000\n1415849330\t21.060000\n1415849930\t21.060000\n1415850531\t21.060000\n1415851131\t21.120000\n1415851747\t21.120000\n1415852347\t21.120000\n1415852948\t21.120000\n1415853548\t21.120000\n1415854149\t21.120000\n1415854749\t21.120000\n1415855350\t21.120000\n1415855950\t21.060000\n1415856551\t21.120000\n1415857152\t21.120000\n1415857752\t21.060000\n1415858353\t21.060000\n1415858953\t21.060000\n1415859554\t21.060000\n1415860154\t21.000000\n1415860755\t21.000000\n1415861355\t21.000000\n1415861956\t21.000000\n1415862556\t20.940000\n1415863157\t20.880000\n1415863757\t20.810000\n1415864358\t20.750000\n1415864959\t20.690000\n1415865559\t20.750000\n1415866160\t20.690000\n1415866760\t20.620000\n1415867361\t20.620000\n1415867961\t20.690000\n1415868562\t20.690000\n1415869162\t20.690000\n1415869763\t20.620000\n1415870378\t20.690000\n1415870979\t20.750000\n1415871579\t20.750000\n1415872180\t20.690000\n1415872780\t20.560000\n1415873381\t20.560000\n1415873982\t20.560000\n1415874582\t20.500000\n1415875183\t20.500000\n1415875783\t20.690000\n1415876384\t20.880000\n1415876984\t20.940000\n1415877585\t21.000000\n1415878185\t21.060000\n1415878786\t21.060000\n1415879386\t21.060000\n1415879987\t21.000000\n1415880587\t21.000000\n1415881188\t21.060000\n1415881789\t21.000000\n1415882389\t21.060000\n1415882990\t21.060000\n1415883590\t21.060000\n1415884191\t21.000000\n1415884791\t21.000000\n1415885392\t20.940000\n1415885992\t21.060000\n1415886593\t21.000000\n1415887193\t20.940000\n1415887794\t20.940000\n1415888395\t20.940000\n1415889010\t20.940000\n1415889611\t20.940000\n1415890211\t20.940000\n1415890812\t20.940000\n1415891412\t21.000000\n1415892013\t21.000000\n1415892613\t21.000000\n1415893214\t21.000000\n1415893814\t21.000000\n1415894415\t21.000000\n1415895015\t21.000000\n1415895616\t21.000000\n1415896216\t21.000000\n1415896817\t21.000000\n1415897417\t21.000000\n1415898018\t21.060000\n1415898619\t21.000000\n1415899219\t21.000000\n1415899820\t21.000000\n1415900420\t21.060000\n1415901021\t21.060000\n1415901621\t21.060000\n1415902222\t21.060000\n1415902822\t21.060000\n1415903423\t21.060000\n1415904024\t21.060000\n1415904624\t21.060000\n1415905224\t21.120000\n1415905825\t21.120000\n1415906426\t21.120000\n1415907041\t21.190000\n1415907642\t21.250000\n1415908242\t21.250000\n1415908843\t21.310000\n1415909443\t21.250000\n1415910044\t21.250000\n1415910644\t21.190000\n1415911245\t21.250000\n1415911845\t21.250000\n1415912446\t21.190000\n1415913046\t21.250000\n1415913647\t21.250000\n1415914247\t21.190000\n1415914848\t21.250000\n1415915449\t21.250000\n1415916049\t21.250000\n1415916650\t21.190000\n1415917250\t21.250000\n1415917851\t21.250000\n1415918451\t21.250000\n1415919052\t21.310000\n1415919652\t21.250000\n1415920253\t21.250000\n1415920853\t21.310000\n1415921454\t21.380000\n1415922054\t21.440000\n1415922655\t21.380000\n1415923255\t21.380000\n1415923856\t21.380000\n1415924457\t21.380000\n1415925072\t21.380000\n1415925673\t21.380000\n1415926273\t21.380000\n1415926874\t21.380000\n1415927474\t21.380000\n1415928075\t21.380000\n1415928675\t21.380000\n1415929276\t21.310000\n1415929877\t21.310000\n1415930477\t21.310000\n1415931078\t21.380000\n1415931678\t21.310000\n1415932279\t21.310000\n1415932879\t21.310000\n1415933480\t21.310000\n1415934080\t21.310000\n1415934681\t21.310000\n1415935281\t21.310000\n1415935882\t21.310000\n1415936482\t21.310000\n1415937083\t21.380000\n1415937684\t21.310000\n1415938284\t21.310000\n1415938885\t21.380000\n1415939485\t21.380000\n1415940086\t21.310000\n1415940686\t21.310000\n1415941287\t21.310000\n1415941887\t21.310000\n1415942488\t21.310000\n1415943089\t21.250000\n1415943704\t21.310000\n1415944305\t21.380000\n1415944905\t21.310000\n1415945506\t21.310000\n1415946106\t21.310000\n1415946707\t21.250000\n1415947307\t21.250000\n1415947908\t21.190000\n1415948509\t21.250000\n1415949109\t21.190000\n1415949710\t21.190000\n1415950310\t21.190000\n1415950911\t21.250000\n1415951511\t21.190000\n1415952112\t21.190000\n1415952712\t21.120000\n1415953313\t21.190000\n1415953913\t21.120000\n1415954514\t21.060000\n1415955114\t21.120000\n1415955715\t21.060000\n1415956315\t21.120000\n1415956916\t21.120000\n1415957517\t21.120000\n1415958117\t21.190000\n1415958718\t21.120000\n1415959318\t21.190000\n1415959919\t21.250000\n1415960519\t21.310000\n1415961135\t21.250000\n1415961735\t21.250000\n1415962336\t21.250000\n1415962936\t21.250000\n1415963537\t21.250000\n1415964137\t21.250000\n1415964738\t21.250000\n1415965338\t20.440000\n1415965939\t20.380000\n1415966540\t20.500000\n1415967140\t20.560000\n1415967741\t20.620000\n1415968341\t20.690000\n1415968942\t20.810000\n1415969542\t20.880000\n1415970143\t20.880000\n1415970743\t20.940000\n1415971344\t20.940000\n1415971945\t20.940000\n1415972545\t21.000000\n1415973146\t21.000000\n1415973746\t21.000000\n1415974347\t21.060000\n1415974947\t21.060000\n1415975548\t21.060000\n1415976148\t21.060000\n1415976749\t21.120000\n1415977349\t21.120000\n1415977950\t21.060000\n1415978550\t21.120000\n1415979151\t21.060000\n1415979767\t21.060000\n1415980367\t21.060000\n1415980968\t21.060000\n1415981568\t21.120000\n1415982169\t21.060000\n1415982769\t21.060000\n1415983370\t21.060000\n1415983970\t21.060000\n1415984571\t21.060000\n1415985171\t21.060000\n1415985772\t21.120000\n1415986372\t21.060000\n1415986973\t21.120000\n1415987573\t20.810000\n1415988174\t20.880000\n1415988775\t21.000000\n1415989375\t21.000000\n1415989976\t21.060000\n1415990576\t21.060000\n1415991177\t21.120000\n1415991777\t21.120000\n1415992378\t21.120000\n1415992978\t21.060000\n1415993579\t21.000000\n1415994179\t20.940000\n1415994780\t20.940000\n1415995381\t20.940000\n1415995981\t20.940000\n1415996582\t20.880000\n1415997182\t20.940000\n1415997798\t20.940000\n1415998398\t20.940000\n1415998999\t20.940000\n1415999599\t20.940000\n1416000200\t21.000000\n1416000800\t21.000000\n1416001401\t21.000000\n1416002001\t21.000000\n1416002602\t21.000000\n1416003203\t20.940000\n1416003803\t20.940000\n1416004404\t20.940000\n1416005004\t20.940000\n1416005605\t20.940000\n1416006205\t20.880000\n1416006806\t20.880000\n1416007406\t20.880000\n1416008007\t20.940000\n1416008607\t20.940000\n1416009208\t20.940000\n1416009809\t21.000000\n1416010409\t21.000000\n1416011010\t21.000000\n1416011610\t21.000000\n1416012211\t21.000000\n1416012811\t20.940000\n1416013412\t20.940000\n1416014012\t20.940000\n1416014613\t21.000000\n1416015213\t21.060000\n1416015814\t21.000000\n1416016429\t21.000000\n1416017030\t21.000000\n1416017630\t21.000000\n1416018231\t21.000000\n1416018832\t21.000000\n1416019432\t20.940000\n1416020033\t21.000000\n1416020633\t21.000000\n1416021234\t21.000000\n1416021834\t20.940000\n1416022435\t20.940000\n1416023035\t20.940000\n1416023636\t20.940000\n1416024236\t20.940000\n1416024837\t20.880000\n1416025438\t20.810000\n1416026038\t20.810000\n1416026639\t20.810000\n1416027239\t20.810000\n1416027840\t20.880000\n1416028440\t20.880000\n1416029041\t20.880000\n1416029641\t20.940000\n1416030242\t20.880000\n1416030842\t20.810000\n1416031443\t20.810000\n1416032043\t20.810000\n1416032644\t20.750000\n1416033259\t20.810000\n1416033860\t20.750000\n1416034461\t20.750000\n1416035061\t20.690000\n1416035662\t20.620000\n1416036262\t20.620000\n1416036863\t20.560000\n1416037463\t20.620000\n1416038064\t20.560000\n1416038664\t20.560000\n1416039265\t20.560000\n1416039865\t20.440000\n1416040466\t20.500000\n1416041067\t20.500000\n1416041667\t20.500000\n1416042268\t20.440000\n1416042868\t20.500000\n1416043469\t20.500000\n1416044069\t20.560000\n1416044670\t20.560000\n1416045270\t20.500000\n1416045871\t20.560000\n1416046471\t20.500000\n1416047072\t20.560000\n1416047672\t20.500000\n1416048273\t20.500000\n1416048874\t20.500000\n1416049474\t20.500000\n1416050075\t20.500000\n1416050675\t20.500000\n1416051276\t20.560000\n1416051876\t20.560000\n1416052492\t20.560000\n1416053092\t20.620000\n1416053693\t20.560000\n1416054293\t20.560000\n1416054894\t20.560000\n1416055495\t20.560000\n1416056095\t20.620000\n1416056696\t20.560000\n1416057296\t20.620000\n1416057897\t20.620000\n1416058497\t20.560000\n1416059098\t20.620000\n1416059698\t20.620000\n1416060299\t20.620000\n1416060899\t20.620000\n1416061500\t20.560000\n1416062101\t20.620000\n1416062701\t20.620000\n1416063302\t20.620000\n1416063902\t20.560000\n1416064503\t20.560000\n1416065103\t20.560000\n1416065704\t20.560000\n1416066304\t20.560000\n1416066905\t20.500000\n1416067506\t20.500000\n1416068106\t20.500000\n1416068707\t20.500000\n1416069322\t20.440000\n1416069923\t20.440000\n1416070523\t20.440000\n1416071124\t20.440000\n1416071724\t20.500000\n1416072325\t20.440000\n1416072925\t20.440000\n1416073526\t20.440000\n1416074126\t20.440000\n1416074727\t20.500000\n1416075327\t20.500000\n1416075928\t20.500000\n1416076528\t20.440000\n1416077129\t20.440000\n1416077730\t20.500000\n1416078330\t20.560000\n1416078931\t20.560000\n1416079531\t20.560000\n1416080132\t20.500000\n1416080732\t20.500000\n1416081333\t20.500000\n1416081933\t20.560000\n1416082534\t20.560000\n1416083134\t20.560000\n1416083735\t20.500000\n1416084335\t20.500000\n1416084936\t20.440000\n1416085537\t20.440000\n1416086137\t20.500000\n1416086753\t20.440000\n1416087353\t20.380000\n1416087954\t20.380000\n1416088554\t20.380000\n1416089155\t20.380000\n1416089755\t20.440000\n1416090356\t20.380000\n1416090956\t20.440000\n1416091557\t20.440000\n1416092157\t20.380000\n1416092758\t20.380000\n1416093358\t20.380000\n1416093959\t20.310000\n1416094559\t20.310000\n1416095160\t20.190000\n1416095761\t20.190000\n1416096361\t20.190000\n1416096962\t20.190000\n1416097562\t20.310000\n1416098163\t20.440000\n1416098763\t20.440000\n1416099364\t20.500000\n1416099964\t20.560000\n1416100565\t20.560000\n1416101165\t20.620000\n1416101766\t20.620000\n1416102366\t20.560000\n1416102967\t20.620000\n1416103583\t20.620000\n1416104183\t20.620000\n1416104784\t20.620000\n1416105384\t20.620000\n1416105985\t20.560000\n1416106585\t20.560000\n1416107186\t20.560000\n1416107786\t20.500000\n1416108387\t20.500000\n1416108987\t20.500000\n1416109588\t20.560000\n1416110188\t20.560000\n1416110789\t20.560000\n1416111389\t20.560000\n1416111990\t20.500000\n1416112590\t20.500000\n1416113191\t20.440000\n1416113792\t20.500000\n1416114392\t20.440000\n1416114993\t20.380000\n1416115593\t20.440000\n1416116194\t20.440000\n1416116794\t20.440000\n1416117395\t20.440000\n1416117995\t20.310000\n1416118596\t20.310000\n1416119196\t20.380000\n1416119797\t20.440000\n1416120398\t20.440000\n1416120998\t20.440000\n1416121599\t20.440000\n1416122199\t20.500000\n1416122800\t20.560000\n1416123415\t20.560000\n1416124016\t20.560000\n1416124616\t20.500000\n1416125217\t20.440000\n1416125817\t20.440000\n1416126418\t20.380000\n1416127019\t20.380000\n1416127619\t20.380000\n1416128220\t20.310000\n1416128820\t20.310000\n1416129421\t20.310000\n1416130021\t20.380000\n1416130622\t20.440000\n1416131222\t20.440000\n1416131823\t20.380000\n1416132423\t20.380000\n1416133024\t20.380000\n1416133625\t20.380000\n1416134225\t20.310000\n1416134826\t20.250000\n1416135426\t20.190000\n1416136027\t20.190000\n1416136627\t20.190000\n1416137228\t20.190000\n1416137828\t20.190000\n1416138429\t20.190000\n1416139029\t20.120000\n1416139630\t20.120000\n1416140230\t20.060000\n1416140831\t20.060000\n1416141432\t20.120000\n1416142032\t20.060000\n1416142633\t20.060000\n1416143233\t20.060000\n1416143834\t20.120000\n1416144449\t19.190000\n1416145050\t19.560000\n1416145650\t19.750000\n1416146251\t19.750000\n1416146851\t19.880000\n1416147452\t20.000000\n1416148052\t20.000000\n1416148653\t20.060000\n1416149254\t20.000000\n1416149854\t20.000000\n1416150455\t20.060000\n1416151055\t20.060000\n1416151656\t20.060000\n1416152256\t20.120000\n1416152857\t20.190000\n1416153457\t20.120000\n1416154058\t20.190000\n1416154658\t20.190000\n1416155259\t20.120000\n1416155859\t20.060000\n1416156460\t20.000000\n1416157061\t20.000000\n1416157661\t20.000000\n1416158262\t19.940000\n1416158862\t19.880000\n1416159463\t19.880000\n1416160063\t20.000000\n1416160664\t19.940000\n1416161264\t19.880000\n1416161865\t19.880000\n1416162465\t19.810000\n1416163066\t19.880000\n1416163666\t19.940000\n1416164267\t19.880000\n1416164882\t19.880000\n1416165483\t19.880000\n1416166083\t19.810000\n1416166684\t19.940000\n1416167285\t19.880000\n1416167885\t19.810000\n1416168486\t19.810000\n1416169086\t19.750000\n1416169687\t19.750000\n1416170287\t19.690000\n1416170888\t19.750000\n1416171488\t19.750000\n1416172089\t19.620000\n1416172689\t19.690000\n1416173290\t19.750000\n1416173890\t19.750000\n1416174491\t19.750000\n1416175092\t19.690000\n1416175692\t19.690000\n1416176293\t19.690000\n1416176893\t19.690000\n1416177494\t19.690000\n1416178094\t19.620000\n1416178695\t19.560000\n1416179295\t19.560000\n1416179896\t19.560000\n1416180496\t19.560000\n1416181097\t19.620000\n1416181698\t19.560000\n1416182298\t19.500000\n1416182899\t19.500000\n1416183514\t19.560000\n1416184115\t19.620000\n1416184715\t19.620000\n1416185316\t19.560000\n1416185916\t19.620000\n1416186517\t19.560000\n1416187117\t19.560000\n1416187718\t19.560000\n1416188318\t19.620000\n1416188919\t19.500000\n1416189519\t19.440000\n1416190120\t19.440000\n1416190720\t19.380000\n1416191321\t19.440000\n1416191922\t19.440000\n1416192522\t19.380000\n1416193123\t19.310000\n1416193723\t19.310000\n1416194324\t19.310000\n1416194924\t19.250000\n1416195525\t19.190000\n1416196125\t19.120000\n1416196726\t19.190000\n1416197327\t19.190000\n1416197927\t19.250000\n1416198527\t19.190000\n1416199128\t19.190000\n1416199729\t19.190000\n1416200329\t19.120000\n1416200930\t19.190000\n1416201530\t19.250000\n1416202146\t19.250000\n1416202746\t19.310000\n1416203347\t19.310000\n1416203947\t19.310000\n1416204548\t19.250000\n1416205148\t19.310000\n1416205749\t19.310000\n1416206349\t19.250000\n1416206950\t19.250000\n1416207551\t19.250000\n1416208151\t19.190000\n1416208752\t19.190000\n1416209352\t19.120000\n1416209953\t19.060000\n1416210553\t19.060000\n1416211154\t19.120000\n1416211754\t19.120000\n1416212355\t19.060000\n1416212955\t19.060000\n1416213556\t19.060000\n1416214156\t19.120000\n1416214757\t19.120000\n1416215358\t19.060000\n1416215958\t19.060000\n1416216559\t19.060000\n1416217159\t19.000000\n1416217760\t19.000000\n1416218360\t19.000000\n1416218961\t18.940000\n1416219561\t18.940000\n1416220177\t18.880000\n1416220777\t18.880000\n1416221378\t18.880000\n1416221978\t18.810000\n1416222579\t18.810000\n1416223179\t18.810000\n1416223780\t18.750000\n1416224381\t18.750000\n1416224981\t18.810000\n1416225582\t18.750000\n1416226182\t18.810000\n1416226783\t18.750000\n1416227383\t18.750000\n1416227984\t18.750000\n1416228584\t18.810000\n1416229185\t18.810000\n1416229785\t18.810000\n1416230386\t18.810000\n1416230986\t18.810000\n1416231587\t18.750000\n1416232188\t18.750000\n1416232788\t18.750000\n1416233389\t18.690000\n1416233989\t18.690000\n1416234590\t18.750000\n1416235190\t18.750000\n1416235791\t18.750000\n1416236391\t18.810000\n1416236992\t18.750000\n1416237592\t18.810000\n1416238208\t18.880000\n1416238808\t18.880000\n1416239409\t18.560000\n1416240009\t18.750000\n1416240610\t18.750000\n1416241211\t18.750000\n1416241811\t18.750000\n1416242412\t18.810000\n1416243012\t18.810000\n1416243613\t18.750000\n1416244213\t18.750000\n1416244814\t18.810000\n1416245414\t18.750000\n1416246015\t18.750000\n1416246615\t17.880000\n1416247216\t18.250000\n1416247817\t18.440000\n1416248417\t18.560000\n1416249018\t18.560000\n1416249618\t18.690000\n1416250219\t18.690000\n1416250819\t18.750000\n1416251420\t18.810000\n1416252020\t18.750000\n1416252621\t18.750000\n1416253221\t18.810000\n1416253822\t18.810000\n1416254422\t18.880000\n1416255023\t18.810000\n1416255623\t18.880000\n1416256224\t18.880000\n1416256839\t18.880000\n1416257440\t18.880000\n1416258041\t18.940000\n1416258641\t18.940000\n1416259242\t18.940000\n1416259842\t19.000000\n1416260443\t19.000000\n1416261043\t19.060000\n1416261644\t19.060000\n1416262244\t19.000000\n1416262845\t19.000000\n1416263445\t19.120000\n1416264046\t19.120000\n1416264646\t19.120000\n1416265247\t19.120000\n1416265847\t19.120000\n1416266448\t19.120000\n1416267048\t19.190000\n1416267649\t19.190000\n1416268250\t19.250000\n1416268850\t19.250000\n1416269451\t19.250000\n1416270051\t19.310000\n1416270652\t19.310000\n1416271252\t19.310000\n1416271853\t19.310000\n1416272453\t19.310000\n1416273054\t19.310000\n1416273669\t19.250000\n1416274270\t19.310000\n1416274870\t19.310000\n1416275471\t19.310000\n1416276072\t19.310000\n1416276672\t19.380000\n1416277273\t19.380000\n1416277873\t19.380000\n1416278474\t19.380000\n1416279074\t19.440000\n1416279675\t19.440000\n1416280275\t19.440000\n1416280876\t19.500000\n1416281476\t19.560000\n1416282077\t19.560000\n1416282678\t19.500000\n1416283278\t19.500000\n1416283879\t19.560000\n1416284479\t19.560000\n1416285080\t19.560000\n1416285680\t19.560000\n1416286281\t19.560000\n1416286881\t19.620000\n1416287482\t19.560000\n1416288082\t19.560000\n1416288683\t19.620000\n1416289283\t19.620000\n1416289884\t19.690000\n1416290484\t19.690000\n1416291085\t19.690000\n1416291685\t19.690000\n1416292301\t19.690000\n1416292901\t19.690000\n1416293502\t19.690000\n1416294103\t19.690000\n1416294703\t19.620000\n1416295304\t19.620000\n1416295904\t19.560000\n1416296505\t19.620000\n1416297105\t19.620000\n1416297706\t19.620000\n1416298306\t19.620000\n1416298907\t19.620000\n1416299507\t19.560000\n1416300108\t19.560000\n1416300709\t19.560000\n1416301309\t19.500000\n1416301910\t19.500000\n1416302510\t19.500000\n1416303111\t19.500000\n1416303711\t19.440000\n1416304312\t19.440000\n1416304912\t19.440000\n1416305513\t19.440000\n1416306113\t19.380000\n1416306714\t19.380000\n1416307314\t19.380000\n1416307915\t19.440000\n1416308516\t19.440000\n1416309116\t19.500000\n1416309717\t19.440000\n1416310317\t19.500000\n1416310918\t19.440000\n1416311533\t19.500000\n1416312134\t19.500000\n1416312734\t19.560000\n1416313335\t19.560000\n1416313936\t19.560000\n1416314536\t19.500000\n1416315137\t19.500000\n1416315737\t19.440000\n1416316338\t19.440000\n1416316938\t19.440000\n1416317539\t19.380000\n1416318139\t19.440000\n1416318740\t19.440000\n1416319340\t19.380000\n1416319941\t19.440000\n1416320541\t19.500000\n1416321142\t19.500000\n1416321742\t19.500000\n1416322343\t19.440000\n1416322944\t19.440000\n1416323544\t19.440000\n1416324145\t19.440000\n1416324745\t19.440000\n1416325346\t19.440000\n1416325946\t19.440000\n1416326547\t19.440000\n1416327147\t19.440000\n1416327763\t19.500000\n1416328363\t19.440000\n1416328964\t19.500000\n1416329564\t19.440000\n1416330165\t19.500000\n1416330766\t19.500000\n1416331366\t19.500000\n1416331967\t19.500000\n1416332567\t19.500000\n1416333168\t19.500000\n1416333768\t19.500000\n1416334369\t19.500000\n1416334969\t19.060000\n1416335570\t19.250000\n1416336170\t19.310000\n1416336771\t19.440000\n1416337371\t19.440000\n1416337972\t19.440000\n1416338573\t19.440000\n1416339173\t19.380000\n1416339774\t19.380000\n1416340374\t19.440000\n1416340975\t19.440000\n1416341575\t19.440000\n1416342176\t19.440000\n1416342776\t19.440000\n1416343377\t19.500000\n1416343992\t19.560000\n1416344593\t19.500000\n1416345194\t19.500000\n1416345794\t19.500000\n1416346395\t19.560000\n1416346995\t19.500000\n1416347596\t19.500000\n1416348196\t19.440000\n1416348797\t19.380000\n1416349397\t19.380000\n1416349998\t19.380000\n1416350598\t19.380000\n1416351199\t19.440000\n1416351799\t19.440000\n1416352400\t19.440000\n1416353000\t19.440000\n1416353601\t19.500000\n1416354202\t19.500000\n1416354802\t19.440000\n1416355403\t19.440000\n1416356003\t19.440000\n1416356604\t19.380000\n1416357204\t19.380000\n1416357805\t19.380000\n1416358405\t19.380000\n1416359006\t19.380000\n1416359606\t19.440000\n1416360207\t19.440000\n1416360807\t19.440000\n1416361423\t19.440000\n1416362023\t19.380000\n1416362624\t19.440000\n1416363224\t19.380000\n1416363825\t19.380000\n1416364426\t19.380000\n1416365026\t19.310000\n1416365627\t19.310000\n1416366227\t19.310000\n1416366828\t19.310000\n1416367428\t19.310000\n1416368029\t19.250000\n1416368629\t19.250000\n1416369230\t19.310000\n1416369830\t19.310000\n1416370431\t19.380000\n1416371031\t19.380000\n1416371632\t19.380000\n1416372233\t19.380000\n1416372833\t19.310000\n1416373434\t19.310000\n1416374034\t19.310000\n1416374635\t19.310000\n1416375235\t19.250000\n1416375836\t19.250000\n1416376436\t19.250000\n1416377037\t19.250000\n1416377637\t19.250000\n1416378238\t19.250000\n1416378854\t19.310000\n1416379454\t19.310000\n1416380055\t19.310000\n1416380655\t19.310000\n1416381256\t19.310000\n1416381856\t19.250000\n1416382457\t19.190000\n1416383057\t19.120000\n1416383658\t19.120000\n1416384258\t19.120000\n1416384859\t19.060000\n1416385459\t19.120000\n1416386060\t19.120000\n1416386660\t19.190000\n1416387261\t19.250000\n1416387862\t19.250000\n1416388462\t19.250000\n1416389063\t19.250000\n1416389663\t19.190000\n1416390264\t19.120000\n1416390864\t19.060000\n1416391465\t19.060000\n1416392065\t19.060000\n1416392666\t19.060000\n1416393266\t19.000000\n1416393867\t18.940000\n1416394467\t18.940000\n1416395068\t18.940000\n1416395669\t18.810000\n1416396269\t18.880000\n1416396870\t18.880000\n1416397470\t18.880000\n1416398086\t18.880000\n1416398686\t18.690000\n1416399287\t18.750000\n1416399887\t18.810000\n1416400488\t18.810000\n1416401088\t18.750000\n1416401689\t18.810000\n1416402289\t18.810000\n1416402890\t18.810000\n1416403491\t18.880000\n1416404091\t18.940000\n1416404692\t18.940000\n1416405292\t19.000000\n1416405893\t19.060000\n1416406493\t19.120000\n1416407094\t19.190000\n1416407694\t19.190000\n1416408295\t19.190000\n1416408895\t19.250000\n1416409496\t19.250000\n1416410097\t19.310000\n1416410697\t19.310000\n1416411298\t19.310000\n1416411898\t19.310000\n1416412499\t19.310000\n1416413099\t19.310000\n1416413700\t19.310000\n1416414300\t19.310000\n1416414901\t19.310000\n1416415501\t19.380000\n1416416102\t19.440000\n1416416717\t19.380000\n1416417318\t19.380000\n1416417918\t19.380000\n1416418519\t19.380000\n1416419119\t19.380000\n1416419720\t19.310000\n1416420321\t19.310000\n1416420921\t19.250000\n1416421522\t19.250000\n1416422122\t19.310000\n1416422723\t19.250000\n1416423323\t19.310000\n1416423924\t19.250000\n1416424524\t19.310000\n1416425125\t19.380000\n1416425725\t19.380000\n1416426326\t19.380000\n1416426927\t19.310000\n1416427527\t19.380000\n1416428128\t19.380000\n1416428728\t19.380000\n1416429329\t19.380000\n1416429929\t19.440000\n1416430530\t19.440000\n1416431130\t19.440000\n1416431731\t19.440000\n1416432331\t19.440000\n1416432932\t19.500000\n1416433533\t19.440000\n1416434133\t19.440000\n1416434734\t19.440000\n1416435334\t19.440000\n1416435950\t19.440000\n1416436550\t19.500000\n1416437151\t19.500000\n1416437751\t19.500000\n1416438352\t19.500000\n1416438952\t19.500000\n1416439553\t19.560000\n1416440153\t19.560000\n1416440754\t19.560000\n1416441354\t19.560000\n1416441955\t19.560000\n1416442555\t19.560000\n1416443156\t19.560000\n1416443757\t19.500000\n1416444357\t19.560000\n1416444958\t19.500000\n1416445558\t19.560000\n1416446159\t19.560000\n1416446759\t19.560000\n1416447360\t19.560000\n1416447960\t19.560000\n1416448561\t19.560000\n1416449161\t19.560000\n1416449762\t19.620000\n1416450363\t19.620000\n1416450963\t19.620000\n1416451564\t19.690000\n1416452164\t19.620000\n1416452765\t19.690000\n1416453365\t19.620000\n1416453966\t19.690000\n1416454581\t19.690000\n1416455182\t19.690000\n1416455782\t19.690000\n1416456383\t19.690000\n1416456983\t19.750000\n1416457584\t19.750000\n1416458185\t19.750000\n1416458785\t19.750000\n1416459386\t19.750000\n1416459986\t19.750000\n1416460587\t19.750000\n1416461187\t19.750000\n1416461788\t19.750000\n1416462388\t19.750000\n1416462989\t19.810000\n1416463589\t19.750000\n1416464190\t19.810000\n1416464790\t19.750000\n1416465391\t19.750000\n1416465992\t19.750000\n1416466592\t19.750000\n1416467193\t19.750000\n1416467793\t19.690000\n1416468394\t19.690000\n1416468994\t19.690000\n1416469595\t19.690000\n1416470195\t19.690000\n1416470796\t19.690000\n1416471396\t19.750000\n1416471997\t19.690000\n1416472613\t19.690000\n1416473213\t19.690000\n1416473814\t19.500000\n1416474414\t19.560000\n1416475015\t19.620000\n1416475615\t19.690000\n1416476216\t19.690000\n1416476816\t19.690000\n1416477417\t19.690000\n1416478017\t19.690000\n1416478618\t19.690000\n1416479219\t19.690000\n1416479819\t19.690000\n1416480420\t19.750000\n1416481020\t19.690000\n1416481621\t19.750000\n1416482221\t19.750000\n1416482822\t19.750000\n1416483422\t19.750000\n1416484023\t19.750000\n1416484623\t19.810000\n1416485224\t19.690000\n1416485824\t18.940000\n1416486425\t19.250000\n1416487025\t19.380000\n1416487626\t19.500000\n1416488227\t19.560000\n1416488827\t19.620000\n1416489428\t19.620000\n1416490028\t19.690000\n1416490629\t19.750000\n1416491229\t19.690000\n1416491845\t19.750000\n1416492445\t19.750000\n1416493046\t19.750000\n1416493646\t19.750000\n1416494247\t19.750000\n1416494847\t19.750000\n1416495448\t19.810000\n1416496049\t19.810000\n1416496649\t19.750000\n1416497250\t19.810000\n1416497850\t19.810000\n1416498451\t19.810000\n1416499051\t19.750000\n1416499652\t19.750000\n1416500252\t19.750000\n1416500853\t19.750000\n1416501453\t19.750000\n1416502054\t19.810000\n1416502654\t19.750000\n1416503255\t19.750000\n1416503855\t19.810000\n1416504456\t19.750000\n1416505056\t19.750000\n1416505657\t19.750000\n1416506258\t19.750000\n1416506858\t19.750000\n1416507459\t19.750000\n1416508059\t19.750000\n1416508660\t19.750000\n1416509260\t19.750000\n1416509876\t19.750000\n1416510476\t19.750000\n1416511077\t19.750000\n1416511678\t19.750000\n1416512278\t19.810000\n1416512879\t19.810000\n1416513479\t19.750000\n1416514080\t19.750000\n1416514680\t19.750000\n1416515281\t19.750000\n1416515881\t19.750000\n1416516482\t19.750000\n1416517082\t19.810000\n1416517683\t19.750000\n1416518283\t19.810000\n1416518884\t19.810000\n1416519485\t19.810000\n1416520085\t19.810000\n1416520686\t19.810000\n1416521286\t19.810000\n1416521887\t19.810000\n1416522487\t19.810000\n1416523088\t19.880000\n1416523688\t19.810000\n1416524289\t19.810000\n1416524890\t19.810000\n1416525490\t19.880000\n1416526106\t19.940000\n1416526706\t19.940000\n1416527307\t19.880000\n1416527907\t19.940000\n1416528508\t19.880000\n1416529108\t19.940000\n1416529709\t19.940000\n1416530309\t19.940000\n1416530910\t19.880000\n1416531510\t19.880000\n1416532111\t19.880000\n1416532711\t19.880000\n1416533312\t19.880000\n1416533913\t19.880000\n1416534513\t19.880000\n1416535114\t19.810000\n1416535714\t19.880000\n1416536315\t19.880000\n1416536915\t19.810000\n1416537516\t19.880000\n1416538116\t19.880000\n1416538717\t19.880000\n1416539317\t19.810000\n1416539918\t19.880000\n1416540518\t19.810000\n1416541119\t19.880000\n1416541720\t19.880000\n1416542320\t19.880000\n1416542921\t19.880000\n1416543521\t19.880000\n1416544122\t19.940000\n1416544722\t19.940000\n1416545323\t19.940000\n1416545923\t19.940000\n1416546524\t19.940000\n1416547124\t19.940000\n1416547725\t19.940000\n1416548325\t19.940000\n1416548926\t19.940000\n1416549527\t19.940000\n1416550127\t20.000000\n1416550743\t19.940000\n1416551343\t20.000000\n1416551944\t20.000000\n1416552544\t19.940000\n1416553145\t20.000000\n1416553745\t19.940000\n1416554346\t19.940000\n1416554946\t19.940000\n1416555547\t19.940000\n1416556148\t19.940000\n1416556748\t19.940000\n1416557349\t19.940000\n1416557949\t20.000000\n1416558550\t20.000000\n1416559150\t19.940000\n1416559751\t19.940000\n1416560351\t19.940000\n1416560952\t19.940000\n1416561553\t19.940000\n1416562153\t19.940000\n1416562754\t19.940000\n1416563354\t19.940000\n1416563955\t19.940000\n1416564555\t19.940000\n1416565156\t20.000000\n1416565756\t20.000000\n1416566357\t19.940000\n1416566957\t19.940000\n1416567558\t19.940000\n1416568158\t19.940000\n1416568759\t19.940000\n1416569360\t20.000000\n1416569960\t19.940000\n1416570576\t19.940000\n1416571176\t20.000000\n1416571777\t20.000000\n1416572377\t20.000000\n1416572978\t20.000000\n1416573578\t20.000000\n1416574179\t20.000000\n1416574779\t20.000000\n1416575380\t20.000000\n1416575981\t20.000000\n1416576581\t20.060000\n1416577182\t20.000000\n1416577782\t20.000000\n1416578383\t20.000000\n1416578983\t20.000000\n1416579584\t20.060000\n1416580184\t20.060000\n1416580785\t20.060000\n1416581385\t20.060000\n1416581986\t20.060000\n1416582587\t20.000000\n1416583187\t20.000000\n1416583788\t20.000000\n1416584388\t20.000000\n1416584989\t20.000000\n1416585589\t20.000000\n1416586190\t20.000000\n1416586790\t20.000000\n1416587391\t20.000000\n1416587991\t20.000000\n1416588592\t20.000000\n1416589207\t20.000000\n1416589808\t20.000000\n1416590409\t20.000000\n1416591009\t20.000000\n1416591610\t20.000000\n1416592210\t20.000000\n1416592811\t20.000000\n1416593411\t20.000000\n1416594012\t20.000000\n1416594612\t20.060000\n1416595213\t20.000000\n1416595813\t20.060000\n1416596414\t20.060000\n1416597014\t20.060000\n1416597615\t20.000000\n1416598215\t20.000000\n1416598816\t20.000000\n1416599416\t20.000000\n1416600017\t20.000000\n1416600617\t20.060000\n1416601218\t20.060000\n1416601819\t20.060000\n1416602419\t20.060000\n1416603020\t20.060000\n1416603620\t20.000000\n1416604221\t20.000000\n1416604821\t20.000000\n1416605422\t20.060000\n1416606022\t20.060000\n1416606623\t20.000000\n1416607223\t20.000000\n1416607839\t20.000000\n1416608439\t20.060000\n1416609040\t20.060000\n1416609641\t20.000000\n1416610241\t20.060000\n1416610842\t20.060000\n1416611442\t20.000000\n1416612043\t20.000000\n1416612643\t20.060000\n1416613244\t20.060000\n1416613844\t20.060000\n1416614445\t20.060000\n1416615045\t20.060000\n1416615646\t20.060000\n1416616246\t20.060000\n1416616847\t20.060000\n1416617448\t20.060000\n1416618048\t20.060000\n1416618649\t20.060000\n1416619249\t20.060000\n1416619850\t20.060000\n1416620450\t20.060000\n1416621051\t20.060000\n1416621651\t20.000000\n1416622252\t20.060000\n1416622852\t20.060000\n1416623453\t20.000000\n1416624053\t20.000000\n1416624654\t20.000000\n1416625254\t20.000000\n1416625855\t20.060000\n1416626470\t20.060000\n1416627071\t20.060000\n1416627672\t20.060000\n1416628272\t20.060000\n1416628873\t20.060000\n1416629473\t20.060000\n1416630074\t20.060000\n1416630674\t20.060000\n1416631275\t20.060000\n1416631875\t20.060000\n1416632476\t20.060000\n1416633076\t20.060000\n1416633677\t20.060000\n1416634278\t20.060000\n1416634878\t20.060000\n1416635479\t20.060000\n1416636079\t20.060000\n1416636680\t20.060000\n1416637280\t20.000000\n1416637881\t20.000000\n1416638481\t20.000000\n1416639082\t20.060000\n1416639682\t20.060000\n1416640283\t20.060000\n1416640884\t20.060000\n1416641484\t20.060000\n1416642085\t20.060000\n1416642685\t20.060000\n1416643286\t20.000000\n1416643886\t20.000000\n1416644487\t20.060000\n1416645102\t20.000000\n1416645703\t20.000000\n1416646303\t20.000000\n1416646904\t19.500000\n1416647505\t18.560000\n1416648105\t19.120000\n1416648706\t19.380000\n1416649306\t19.500000\n1416649907\t19.620000\n1416650507\t19.620000\n1416651108\t19.690000\n1416651708\t19.750000\n1416652309\t19.810000\n1416652909\t19.810000\n1416653510\t19.810000\n1416654110\t19.810000\n1416654711\t19.810000\n1416655311\t19.810000\n1416655912\t19.810000\n1416656513\t19.810000\n1416657113\t19.880000\n1416657714\t19.880000\n1416658314\t19.880000\n1416658915\t19.880000\n1416659515\t19.880000\n1416660116\t19.310000\n1416660716\t19.500000\n1416661317\t19.690000\n1416661917\t19.750000\n1416662518\t19.810000\n1416663118\t19.880000\n1416663734\t19.880000\n1416664334\t19.940000\n1416664935\t19.940000\n1416665536\t20.000000\n1416666136\t20.000000\n1416666737\t20.000000\n1416667337\t20.000000\n1416667938\t20.000000\n1416668538\t20.000000\n1416669139\t20.060000\n1416669739\t20.060000\n1416670340\t20.060000\n1416670940\t20.060000\n1416671541\t20.060000\n1416672141\t20.060000\n1416672742\t20.060000\n1416673343\t20.060000\n1416673943\t20.120000\n1416674544\t18.810000\n1416675144\t19.120000\n1416675745\t19.380000\n1416676345\t19.560000\n1416676946\t19.620000\n1416677546\t19.690000\n1416678147\t19.750000\n1416678747\t19.750000\n1416679348\t19.750000\n1416679948\t19.750000\n1416680549\t19.810000\n1416681150\t19.750000\n1416681750\t19.810000\n1416682366\t19.810000\n1416682966\t19.810000\n1416683567\t19.810000\n1416684167\t19.810000\n1416684768\t19.810000\n1416685368\t19.810000\n1416685969\t19.810000\n1416686569\t19.810000\n1416687170\t19.810000\n1416687771\t19.810000\n1416688371\t19.810000\n1416688972\t19.810000\n1416689572\t19.750000\n1416690173\t19.810000\n1416690773\t19.810000\n1416691374\t19.810000\n1416691974\t19.810000\n1416692575\t19.750000\n1416693175\t19.750000\n1416693776\t19.750000\n1416694376\t19.750000\n1416694977\t19.810000\n1416695577\t19.750000\n1416696178\t19.810000\n1416696778\t19.810000\n1416697379\t19.750000\n1416697980\t19.750000\n1416698580\t19.880000\n1416699181\t19.810000\n1416699781\t19.880000\n1416700397\t19.880000\n1416700997\t19.880000\n1416701598\t19.810000\n1416702198\t19.880000\n1416702799\t19.810000\n1416703399\t19.810000\n1416704000\t19.810000\n1416704600\t19.810000\n1416705201\t19.810000\n1416705801\t19.810000\n1416706402\t19.810000\n1416707003\t19.880000\n1416707603\t19.810000\n1416708204\t19.880000\n1416708804\t19.880000\n1416709405\t19.880000\n1416710005\t19.810000\n1416710606\t19.810000\n1416711206\t19.810000\n1416711807\t19.810000\n1416712407\t19.810000\n1416713008\t19.810000\n1416713608\t19.810000\n1416714209\t19.810000\n1416714810\t19.810000\n1416715410\t19.750000\n1416716026\t19.750000\n1416716626\t19.810000\n1416717227\t19.810000\n1416717827\t19.810000\n1416718428\t19.810000\n1416719028\t19.810000\n1416719629\t19.810000\n1416720229\t19.810000\n1416720830\t19.810000\n1416721430\t19.810000\n1416722031\t19.810000\n1416722632\t19.880000\n1416723232\t19.810000\n1416723833\t19.810000\n1416724433\t19.880000\n1416725034\t19.810000\n1416725634\t19.880000\n1416726235\t19.880000\n1416726835\t19.880000\n1416727436\t19.880000\n1416728036\t19.880000\n1416728637\t19.880000\n1416729237\t19.880000\n1416729838\t19.880000\n1416730438\t19.810000\n1416731039\t19.810000\n1416731640\t19.810000\n1416732240\t19.810000\n1416732841\t19.810000\n1416733441\t19.810000\n1416734057\t19.810000\n1416734657\t19.810000\n1416735258\t19.810000\n1416735858\t19.810000\n1416736459\t19.810000\n1416737059\t19.810000\n1416737660\t19.810000\n1416738260\t19.810000\n1416738861\t19.810000\n1416739461\t19.810000\n1416740062\t19.810000\n1416740663\t19.810000\n1416741263\t19.880000\n1416741864\t19.690000\n1416742464\t19.690000\n1416743065\t19.750000\n1416743665\t19.750000\n1416744266\t19.810000\n1416744866\t19.810000\n1416745467\t19.810000\n1416746067\t19.810000\n1416746668\t19.810000\n1416747269\t19.810000\n1416747869\t19.810000\n1416748470\t19.810000\n1416749070\t19.810000\n1416749671\t19.810000\n1416750271\t19.880000\n1416750872\t19.880000\n1416751472\t19.810000\n1416752073\t19.810000\n1416752688\t18.310000\n1416753289\t18.940000\n1416753889\t19.250000\n1416754490\t19.380000\n1416755090\t19.500000\n1416755691\t19.560000\n1416756292\t19.620000\n1416756892\t19.620000\n1416757493\t19.690000\n1416758093\t19.690000\n1416758694\t19.690000\n1416759294\t19.690000\n1416759895\t19.750000\n1416760495\t19.750000\n1416761096\t19.690000\n1416761696\t19.750000\n1416762297\t19.750000\n1416762898\t19.750000\n1416763498\t19.810000\n1416764099\t19.750000\n1416764699\t19.750000\n1416765300\t19.750000\n1416765900\t19.750000\n1416766501\t19.750000\n1416767101\t19.750000\n1416767702\t19.750000\n1416768302\t19.810000\n1416768903\t19.810000\n1416769504\t19.750000\n1416770104\t19.810000\n1416770720\t19.810000\n1416771320\t19.750000\n1416771921\t19.750000\n1416772521\t19.750000\n1416773122\t19.810000\n1416773722\t19.810000\n1416774323\t19.810000\n1416774923\t19.810000\n1416775524\t19.750000\n1416776124\t19.810000\n1416776725\t19.750000\n1416777325\t19.810000\n1416777926\t19.810000\n1416778526\t19.750000\n1416779127\t19.810000\n1416779727\t19.810000\n1416780328\t19.810000\n1416780928\t19.810000\n1416781529\t19.810000\n1416782130\t19.880000\n1416782730\t19.810000\n1416783331\t19.810000\n1416783931\t19.810000\n1416784532\t19.750000\n1416785132\t19.810000\n1416785733\t19.880000\n1416786333\t19.810000\n1416786934\t19.880000\n1416787534\t19.810000\n1416788150\t19.880000\n1416788750\t19.940000\n1416789351\t19.940000\n1416789951\t19.940000\n1416790552\t19.940000\n1416791152\t19.940000\n1416791753\t19.940000\n1416792353\t19.940000\n1416792954\t19.940000\n1416793555\t19.940000\n1416794155\t19.940000\n1416794756\t19.940000\n1416795356\t20.000000\n1416795957\t20.000000\n1416796557\t20.000000\n1416797158\t20.000000\n1416797758\t20.000000\n1416798359\t20.000000\n1416798959\t20.060000\n1416799560\t20.000000\n1416800160\t20.000000\n1416800761\t20.000000\n1416801362\t20.000000\n1416801962\t20.000000\n1416802563\t20.000000\n1416803163\t20.000000\n1416803764\t19.940000\n1416804364\t19.940000\n1416804965\t19.940000\n1416805565\t19.940000\n1416806181\t20.000000\n1416806781\t19.880000\n1416807382\t19.940000\n1416807982\t19.880000\n1416808583\t19.880000\n1416809183\t19.880000\n1416809784\t19.940000\n1416810385\t19.880000\n1416810985\t19.880000\n1416811586\t19.880000\n1416812186\t19.940000\n1416812787\t20.000000\n1416813387\t20.000000\n1416813988\t20.000000\n1416814588\t20.060000\n1416815189\t20.060000\n1416815789\t20.060000\n1416816390\t20.060000\n1416816990\t20.120000\n1416817591\t20.120000\n1416818192\t20.120000\n1416818792\t20.120000\n1416819393\t20.190000\n1416819993\t20.190000\n1416820594\t20.190000\n1416821194\t20.190000\n1416821795\t20.120000\n1416822395\t20.120000\n1416823011\t20.120000\n1416823611\t20.120000\n1416824212\t20.120000\n1416824812\t20.120000\n1416825413\t20.120000\n1416826013\t20.120000\n1416826614\t20.120000\n1416827215\t20.120000\n1416827815\t20.120000\n1416828416\t20.120000\n1416829016\t20.190000\n1416829617\t20.120000\n1416830217\t20.120000\n1416830818\t20.060000\n1416831418\t20.000000\n1416832019\t19.940000\n1416832620\t20.000000\n1416833220\t20.060000\n1416833821\t20.120000\n1416834421\t20.120000\n1416835022\t20.060000\n1416835622\t20.000000\n1416836223\t19.940000\n1416836823\t19.940000\n1416837424\t19.940000\n1416838024\t19.880000\n1416838625\t19.940000\n1416839225\t19.880000\n1416839826\t19.690000\n1416840427\t19.620000\n1416841027\t19.620000\n1416841643\t19.560000\n1416842243\t19.500000\n1416842844\t19.500000\n1416843444\t19.380000\n1416844045\t19.440000\n1416844645\t19.440000\n1416845246\t19.440000\n1416845846\t19.440000\n1416846447\t19.440000\n1416847047\t19.440000\n1416847648\t19.380000\n1416848248\t19.380000\n1416848849\t19.380000\n1416849450\t19.380000\n1416850050\t19.440000\n1416850651\t19.310000\n1416851251\t19.310000\n1416851852\t19.310000\n1416852452\t19.310000\n1416853053\t19.310000\n1416853653\t19.380000\n1416854254\t19.440000\n1416854854\t19.500000\n1416855455\t19.500000\n1416856056\t19.560000\n1416856656\t19.560000\n1416857257\t19.620000\n1416857857\t19.620000\n1416858458\t19.620000\n1416859058\t19.560000\n1416859659\t19.500000\n1416860259\t19.560000\n1416860875\t19.500000\n1416861475\t19.440000\n1416862076\t19.560000\n1416862676\t19.620000\n1416863277\t19.690000\n1416863877\t19.690000\n1416864478\t19.620000\n1416865079\t19.500000\n1416865679\t19.560000\n1416866280\t19.560000\n1416866880\t19.690000\n1416867481\t19.750000\n1416868081\t19.690000\n1416868682\t19.750000\n1416869282\t19.810000\n1416869883\t19.810000\n1416870483\t19.810000\n1416871084\t19.750000\n1416871684\t19.880000\n1416872285\t19.880000\n1416872885\t19.940000\n1416873486\t19.940000\n1416874087\t19.880000\n1416874687\t19.940000\n1416875288\t20.000000\n1416875888\t20.000000\n1416876489\t20.060000\n1416877089\t20.060000\n1416877690\t20.060000\n1416878305\t20.120000\n1416878906\t20.120000\n1416879507\t20.120000\n1416880107\t20.120000\n1416880708\t20.190000\n1416881308\t20.120000\n1416881909\t20.120000\n1416882509\t20.120000\n1416883110\t20.060000\n1416883710\t20.060000\n1416884311\t20.120000\n1416884911\t20.120000\n1416885512\t20.120000\n1416886112\t20.190000\n1416886713\t20.190000\n1416887313\t20.190000\n1416887914\t20.190000\n1416888514\t20.190000\n1416889115\t20.190000\n1416889716\t20.250000\n1416890316\t20.250000\n1416890917\t20.250000\n1416891517\t20.250000\n1416892118\t20.250000\n1416892718\t20.250000\n1416893319\t20.250000\n1416893919\t20.250000\n1416894520\t20.250000\n1416895120\t20.190000\n1416895721\t20.190000\n1416896336\t20.120000\n1416896937\t20.120000\n1416897537\t20.120000\n1416898138\t20.190000\n1416898739\t20.190000\n1416899339\t20.190000\n1416899939\t20.120000\n1416900540\t20.120000\n1416901141\t20.190000\n1416901741\t20.120000\n1416902342\t20.190000\n1416902942\t20.120000\n1416903543\t20.120000\n1416904143\t20.120000\n1416904744\t20.120000\n1416905344\t20.120000\n1416905945\t20.120000\n1416906545\t20.120000\n1416907146\t20.120000\n1416907747\t20.120000\n1416908347\t20.120000\n1416908948\t20.120000\n1416909548\t20.120000\n1416910149\t20.120000\n1416910749\t20.120000\n1416911350\t20.120000\n1416911950\t20.120000\n1416912551\t20.120000\n1416913151\t20.120000\n1416913752\t20.120000\n1416914353\t20.120000\n1416914953\t20.190000\n1416915554\t20.120000\n1416916154\t20.120000\n1416916755\t20.120000\n1416917370\t20.120000\n1416917971\t20.120000\n1416918571\t20.120000\n1416919172\t20.120000\n1416919773\t20.120000\n1416920373\t20.120000\n1416920974\t20.190000\n1416921574\t20.190000\n1416922175\t20.190000\n1416922775\t20.190000\n1416923376\t20.190000\n1416923976\t20.250000\n1416924577\t20.250000\n1416925177\t20.250000\n1416925778\t20.250000\n1416926378\t20.250000\n1416926979\t20.250000\n1416927579\t20.250000\n1416928180\t20.250000\n1416928781\t20.250000\n1416929381\t20.250000\n1416929982\t20.250000\n1416930582\t20.250000\n1416931183\t20.250000\n1416931783\t20.250000\n1416932384\t20.250000\n1416932984\t20.250000\n1416933585\t20.250000\n1416934186\t20.190000\n1416934786\t20.190000\n1416935387\t20.190000\n1416935987\t20.250000\n1416936588\t20.250000\n1416937188\t20.190000\n1416937789\t20.190000\n1416938404\t20.190000\n1416939005\t20.190000\n1416939605\t20.190000\n1416940206\t20.190000\n1416940807\t20.190000\n1416941407\t20.190000\n1416942008\t20.120000\n1416942608\t20.190000\n1416943209\t20.190000\n1416943809\t20.190000\n1416944410\t20.120000\n1416945010\t20.190000\n1416945611\t20.190000\n1416946211\t20.120000\n1416946812\t20.190000\n1416947412\t20.190000\n1416948013\t20.120000\n1416948613\t20.120000\n1416949214\t20.120000\n1416949814\t20.120000\n1416950415\t20.120000\n1416951016\t20.120000\n1416951616\t20.120000\n1416952217\t20.060000\n1416952817\t20.060000\n1416953418\t20.060000\n1416954018\t20.060000\n1416954619\t20.060000\n1416955219\t20.060000\n1416955820\t20.000000\n1416956420\t20.000000\n1416957021\t20.060000\n1416957637\t20.000000\n1416958237\t20.060000\n1416958838\t20.060000\n1416959438\t20.060000\n1416960039\t20.000000\n1416960639\t20.000000\n1416961240\t20.000000\n1416961840\t20.000000\n1416962441\t20.000000\n1416963041\t20.000000\n1416963642\t20.000000\n1416964242\t20.000000\n1416964843\t19.940000\n1416965443\t19.940000\n1416966044\t19.940000\n1416966645\t19.880000\n1416967245\t19.880000\n1416967846\t19.880000\n1416968446\t19.880000\n1416969047\t19.810000\n1416969647\t19.880000\n1416970248\t19.880000\n1416970848\t19.880000\n1416971449\t19.880000\n1416972050\t19.880000\n1416972650\t19.880000\n1416973251\t19.880000\n1416973851\t19.880000\n1416974452\t19.880000\n1416975052\t19.810000\n1416975653\t19.810000\n1416976253\t19.810000\n1416976869\t19.810000\n1416977469\t19.810000\n1416978070\t19.810000\n1416978670\t19.810000\n1416979271\t19.810000\n1416979872\t19.810000\n1416980472\t19.810000\n1416981073\t19.810000\n1416981673\t19.810000\n1416982274\t19.810000\n1416982874\t19.810000\n1416983475\t19.810000\n1416984075\t19.810000\n1416984676\t19.810000\n1416985277\t19.810000\n1416985877\t19.810000\n1416986478\t19.810000\n1416987078\t19.750000\n1416987679\t19.750000\n1416988279\t19.750000\n1416988880\t19.750000\n1416989480\t19.750000\n1416990081\t19.750000\n1416990681\t19.690000\n1416991282\t19.690000\n1416991882\t19.690000\n1416992483\t19.620000\n1416993083\t19.620000\n1416993684\t19.690000\n1416994284\t19.620000\n1416994900\t19.620000\n1416995501\t19.620000\n1416996101\t19.560000\n1416996702\t19.560000\n1416997302\t19.560000\n1416997903\t19.560000\n1416998503\t19.560000\n1416999104\t19.560000\n1416999704\t19.560000\n1417000305\t19.560000\n1417000905\t19.560000\n1417001506\t19.620000\n1417002107\t19.620000\n1417002707\t19.560000\n1417003308\t19.560000\n1417003908\t19.560000\n1417004509\t19.560000\n1417005109\t19.560000\n1417005710\t19.560000\n1417006310\t19.560000\n1417006911\t19.560000\n1417007511\t19.500000\n1417008112\t19.500000\n1417008712\t19.500000\n1417009313\t19.500000\n1417009913\t19.500000\n1417010514\t19.500000\n1417011114\t19.500000\n1417011715\t19.500000\n1417012315\t19.500000\n1417012916\t19.440000\n1417013532\t19.500000\n1417014132\t19.500000\n1417014733\t19.440000\n1417015333\t19.500000\n1417015934\t19.440000\n1417016534\t19.500000\n1417017135\t19.500000\n1417017735\t19.500000\n1417018336\t19.500000\n1417018936\t19.560000\n1417019537\t19.560000\n1417020137\t19.560000\n1417020738\t19.560000\n1417021339\t19.500000\n1417021939\t19.560000\n1417022540\t19.500000\n1417023140\t19.500000\n1417023741\t19.500000\n1417024341\t19.500000\n1417024942\t19.500000\n1417025542\t19.500000\n1417026143\t19.500000\n1417026743\t19.440000\n1417027344\t19.500000\n1417027944\t19.500000\n1417028545\t19.500000\n1417029146\t19.500000\n1417029746\t19.500000\n1417030347\t19.440000\n1417030947\t19.500000\n1417031548\t19.500000\n1417032148\t19.500000\n1417032764\t19.440000\n1417033364\t19.440000\n1417033965\t19.440000\n1417034566\t19.440000\n1417035166\t19.500000\n1417035767\t19.440000\n1417036367\t19.500000\n1417036968\t19.440000\n1417037568\t19.440000\n1417038169\t19.440000\n1417038769\t19.440000\n1417039370\t19.440000\n1417039970\t19.440000\n1417040571\t19.440000\n1417041171\t19.440000\n1417041772\t19.440000\n1417042373\t19.440000\n1417042973\t19.440000\n1417043574\t19.440000\n1417044174\t19.440000\n1417044775\t19.500000\n1417045375\t19.500000\n1417045976\t19.440000\n1417046576\t19.440000\n1417047177\t19.440000\n1417047777\t19.440000\n1417048378\t19.440000\n1417048978\t19.440000\n1417049579\t19.440000\n1417050179\t19.440000\n1417050795\t19.440000\n1417051395\t19.440000\n1417051996\t19.440000\n1417052597\t19.440000\n1417053197\t19.440000\n1417053798\t19.440000\n1417054398\t19.440000\n1417054999\t19.440000\n1417055599\t19.440000\n1417056200\t19.440000\n1417056800\t19.380000\n1417057401\t19.380000\n1417058001\t19.380000\n1417058602\t19.380000\n1417059202\t19.380000\n1417059803\t19.380000\n1417060404\t19.380000\n1417061004\t19.380000\n1417061605\t19.310000\n1417062205\t19.310000\n1417062806\t18.810000\n1417063406\t19.380000\n1417064007\t19.620000\n1417064607\t19.810000\n1417065208\t19.940000\n1417065809\t20.060000\n1417066409\t20.060000\n1417067010\t20.120000\n1417067610\t20.120000\n1417068211\t20.190000\n1417068826\t20.190000\n1417069427\t20.250000\n1417070027\t20.250000\n1417070628\t20.250000\n1417071228\t20.250000\n1417071829\t20.250000\n1417072430\t20.250000\n1417073030\t20.250000\n1417073631\t20.250000\n1417074231\t20.250000\n1417074832\t20.250000\n1417075432\t20.250000\n1417076033\t20.250000\n1417076633\t20.310000\n1417077234\t20.310000\n1417077834\t20.310000\n1417078435\t20.310000\n1417079036\t20.310000\n1417079636\t20.310000\n1417080237\t20.310000\n1417080837\t20.310000\n1417081438\t20.380000\n1417082038\t20.310000\n1417082639\t20.310000\n1417083239\t20.310000\n1417083840\t20.310000\n1417084440\t20.310000\n1417085041\t20.310000\n1417085642\t20.310000\n1417086242\t20.310000\n1417086843\t20.310000\n1417087443\t20.310000\n1417088059\t20.310000\n1417088659\t20.310000\n1417089260\t20.310000\n1417089860\t20.310000\n1417090461\t20.310000\n1417091061\t20.310000\n1417091662\t20.380000\n1417092262\t20.380000\n1417092863\t20.380000\n1417093463\t20.380000\n1417094064\t20.380000\n1417094664\t20.380000\n1417095265\t20.310000\n1417095866\t20.380000\n1417096466\t20.380000\n1417097067\t20.310000\n1417097667\t20.310000\n1417098268\t20.310000\n1417098868\t20.310000\n1417099469\t20.310000\n1417100069\t20.310000\n1417100670\t20.310000\n1417101270\t20.310000\n1417101871\t20.310000\n1417102472\t20.310000\n1417103072\t20.310000\n1417103673\t20.310000\n1417104273\t20.310000\n1417104874\t20.310000\n1417105489\t20.310000\n1417106090\t20.310000\n1417106690\t20.310000\n1417107291\t20.310000\n1417107891\t20.380000\n1417108492\t20.310000\n1417109093\t20.310000\n1417109693\t20.310000\n1417110294\t20.310000\n1417110894\t20.310000\n1417111495\t20.310000\n1417112095\t20.310000\n1417112696\t20.310000\n1417113296\t20.310000\n1417113897\t20.310000\n1417114497\t20.380000\n1417115098\t20.380000\n1417115698\t20.380000\n1417116299\t20.380000\n1417116900\t20.380000\n1417117500\t20.380000\n1417118101\t20.380000\n1417118701\t20.380000\n1417119302\t20.380000\n1417119902\t20.380000\n1417120503\t20.380000\n1417121103\t20.380000\n1417121704\t20.380000\n1417122304\t20.380000\n1417122905\t20.380000\n1417123506\t20.380000\n1417124121\t20.380000\n1417124722\t20.380000\n1417125322\t20.380000\n1417125923\t20.380000\n1417126523\t20.380000\n1417127124\t20.380000\n1417127724\t20.380000\n1417128325\t20.380000\n1417128925\t20.380000\n1417129526\t20.380000\n1417130126\t20.380000\n1417130727\t20.440000\n1417131327\t20.440000\n1417131928\t20.440000\n1417132529\t20.440000\n1417133129\t20.440000\n1417133730\t20.440000\n1417134330\t20.440000\n1417134931\t20.440000\n1417135531\t20.440000\n1417136132\t20.380000\n1417136732\t20.440000\n1417137333\t20.440000\n1417137933\t20.440000\n1417138534\t20.440000\n1417139134\t20.440000\n1417139735\t20.440000\n1417140336\t20.440000\n1417140936\t20.440000\n1417141552\t20.440000\n1417142152\t20.440000\n1417142753\t20.500000\n1417143353\t20.440000\n1417143954\t20.440000\n1417144554\t20.440000\n1417145155\t20.440000\n1417145755\t20.440000\n1417146356\t20.440000\n1417146957\t20.440000\n1417147557\t20.440000\n1417148158\t20.440000\n1417148758\t20.440000\n1417149359\t20.440000\n1417149959\t20.440000\n1417150560\t20.440000\n1417151160\t20.440000\n1417151761\t20.440000\n1417152361\t20.440000\n1417152962\t20.440000\n1417153563\t20.440000\n1417154163\t20.500000\n1417154764\t20.440000\n1417155364\t20.500000\n1417155965\t20.440000\n1417156565\t20.440000\n1417157166\t20.440000\n1417157766\t20.440000\n1417158367\t20.440000\n1417158967\t20.440000\n1417159568\t20.440000\n1417160184\t20.440000\n1417160784\t20.440000\n1417161385\t20.440000\n1417161985\t20.440000\n1417162586\t20.440000\n1417163186\t20.440000\n1417163787\t20.440000\n1417164387\t20.500000\n1417164988\t20.440000\n1417165588\t20.440000\n1417166189\t20.500000\n1417166789\t20.440000\n1417167390\t20.440000\n1417167991\t20.440000\n1417168591\t20.440000\n1417169192\t20.500000\n1417169792\t20.440000\n1417170393\t20.440000\n1417170993\t20.440000\n1417171594\t20.440000\n1417172194\t20.440000\n1417172795\t20.440000\n1417173395\t20.440000\n1417173996\t20.440000\n1417174596\t20.440000\n1417175197\t20.440000\n1417175798\t20.440000\n1417176398\t20.440000\n1417176999\t20.500000\n1417177599\t20.500000\n1417178200\t20.440000\n1417178815\t20.500000\n1417179416\t20.500000\n1417180016\t20.500000\n1417180617\t20.440000\n1417181218\t20.500000\n1417181818\t20.500000\n1417182419\t20.500000\n1417183019\t20.500000\n1417183620\t20.440000\n1417184220\t20.440000\n1417184821\t20.440000\n1417185421\t20.500000\n1417186022\t20.440000\n1417186622\t20.500000\n1417187223\t20.440000\n1417187823\t20.440000\n1417188424\t20.440000\n1417189025\t20.440000\n1417189625\t20.440000\n1417190226\t20.440000\n1417190826\t20.440000\n1417191427\t20.440000\n1417192027\t20.440000\n1417192628\t20.440000\n1417193228\t20.440000\n1417193829\t20.440000\n1417194429\t20.440000\n1417195030\t20.440000\n1417195630\t20.440000\n1417196231\t20.440000\n1417196847\t20.440000\n1417197447\t20.440000\n1417198048\t20.440000\n1417198648\t20.440000\n1417199249\t20.380000\n1417199849\t20.440000\n1417200450\t20.380000\n1417201050\t20.380000\n1417201651\t20.380000\n1417202251\t20.380000\n1417202852\t20.380000\n1417203453\t20.310000\n1417204053\t20.310000\n1417204654\t20.310000\n1417205254\t20.310000\n1417205855\t20.310000\n1417206455\t20.310000\n1417207056\t20.310000\n1417207656\t20.310000\n1417208257\t20.310000\n1417208857\t20.310000\n1417209458\t20.250000\n1417210058\t20.310000\n1417210659\t20.310000\n1417211260\t20.310000\n1417211860\t20.250000\n1417212461\t20.250000\n1417213061\t20.250000\n1417213662\t20.250000\n1417214262\t20.250000\n1417214863\t20.250000\n1417215463\t20.250000\n1417216079\t20.250000\n1417216679\t20.250000\n1417217280\t20.310000\n1417217881\t20.250000\n1417218481\t20.310000\n1417219082\t20.250000\n1417219682\t20.310000\n1417220283\t20.310000\n1417220883\t20.310000\n1417221484\t20.310000\n1417222084\t20.310000\n1417222685\t20.310000\n1417223285\t20.310000\n1417223886\t20.310000\n1417224486\t20.310000\n1417225087\t20.310000\n1417225688\t20.310000\n1417226288\t20.310000\n1417226889\t20.310000\n1417227489\t20.310000\n1417228090\t20.310000\n1417228690\t20.310000\n1417229291\t20.310000\n1417229891\t20.310000\n1417230492\t20.310000\n1417231092\t20.310000\n1417231693\t20.310000\n1417232308\t20.310000\n1417232909\t20.310000\n1417233510\t20.310000\n1417234110\t20.310000\n1417234711\t20.310000\n1417235311\t20.310000\n1417235912\t20.310000\n1417236512\t20.310000\n1417237113\t20.310000\n1417237713\t20.310000\n1417238314\t20.310000\n1417238914\t20.310000\n1417239515\t20.310000\n1417240115\t20.310000\n1417240716\t20.310000\n1417241316\t20.310000\n1417241917\t20.310000\n1417242518\t20.310000\n1417243118\t20.310000\n1417243719\t20.310000\n1417244319\t20.310000\n1417244920\t20.310000\n1417245520\t20.310000\n1417246121\t20.310000\n1417246721\t20.310000\n1417247322\t20.310000\n1417247922\t20.310000\n1417248538\t20.250000\n1417249138\t20.310000\n1417249739\t20.250000\n1417250339\t20.250000\n1417250940\t20.250000\n1417251541\t20.250000\n1417252141\t20.250000\n1417252742\t20.250000\n1417253342\t20.250000\n1417253943\t20.250000\n1417254543\t20.190000\n1417255144\t20.250000\n1417255744\t20.190000\n1417256345\t20.190000\n1417256945\t20.250000\n1417257546\t20.250000\n1417258147\t20.190000\n1417258747\t20.190000\n1417259347\t20.190000\n1417259948\t20.250000\n1417260548\t20.190000\n1417261149\t20.190000\n1417261750\t20.190000\n1417262350\t20.190000\n1417262951\t20.190000\n1417263551\t20.190000\n1417264152\t20.190000\n1417264752\t20.190000\n1417265353\t20.120000\n1417265968\t20.190000\n1417266569\t20.120000\n1417267169\t20.120000\n1417267770\t20.120000\n1417268370\t20.120000\n1417268971\t20.120000\n1417269572\t20.120000\n1417270172\t20.120000\n1417270773\t20.120000\n1417271373\t20.120000\n1417271974\t20.120000\n1417272574\t20.120000\n1417273175\t20.060000\n1417273775\t20.060000\n1417274376\t20.120000\n1417274977\t20.120000\n1417275577\t20.120000\n1417276178\t20.120000\n1417276778\t20.120000\n1417277379\t20.120000\n1417277979\t20.120000\n1417278580\t20.120000\n1417279180\t20.120000\n1417279781\t20.120000\n1417280381\t20.060000\n1417280982\t20.120000\n1417281583\t20.000000\n1417282183\t19.500000\n1417282784\t19.380000\n1417283384\t17.690000\n1417283985\t18.250000\n1417284600\t18.500000\n1417285201\t18.620000\n1417285801\t18.620000\n1417286402\t18.690000\n1417287002\t18.750000\n1417287603\t18.750000\n1417288203\t18.750000\n1417288804\t18.810000\n1417289405\t18.750000\n1417290005\t18.750000\n1417290606\t18.750000\n1417291206\t18.810000\n1417291807\t18.810000\n1417292407\t18.810000\n1417293008\t18.810000\n1417293608\t18.810000\n1417294209\t18.810000\n1417294809\t18.810000\n1417295410\t18.810000\n1417296010\t18.810000\n1417296611\t18.810000\n1417297212\t18.810000\n1417297812\t18.810000\n1417298413\t18.810000\n1417299013\t18.810000\n1417299614\t18.810000\n1417300214\t18.810000\n1417300815\t18.810000\n1417301415\t18.810000\n1417302016\t18.810000\n1417302616\t18.810000\n1417303217\t18.810000\n1417303832\t18.880000\n1417304433\t18.880000\n1417305033\t18.880000\n1417305634\t18.810000\n1417306235\t18.880000\n1417306835\t18.810000\n1417307436\t18.810000\n1417308036\t18.880000\n1417308637\t18.810000\n1417309237\t18.810000\n1417309838\t18.880000\n1417310438\t18.810000\n1417311039\t18.810000\n1417311639\t18.810000\n1417312240\t18.810000\n1417312840\t18.810000\n1417313441\t18.810000\n1417314041\t18.810000\n1417314642\t18.810000\n1417315242\t18.810000\n1417315843\t18.810000\n1417316444\t18.810000\n1417317044\t18.810000\n1417317645\t18.810000\n1417318245\t18.750000\n1417318846\t18.750000\n1417319446\t18.750000\n1417320047\t18.750000\n1417320647\t18.750000\n1417321248\t18.750000\n1417321848\t18.750000\n1417322449\t18.690000\n1417323049\t18.690000\n1417323650\t18.690000\n1417324250\t18.690000\n1417324851\t18.750000\n1417325467\t18.690000\n1417326067\t18.690000\n1417326668\t18.690000\n1417327268\t18.690000\n1417327869\t18.690000\n1417328469\t18.690000\n1417329070\t18.690000\n1417329670\t18.690000\n1417330271\t18.690000\n1417330871\t18.690000\n1417331472\t18.690000\n1417332072\t18.690000\n1417332673\t18.690000\n1417333274\t18.690000\n1417333874\t18.690000\n1417334475\t18.690000\n1417335075\t18.690000\n1417335676\t18.690000\n1417336276\t18.690000\n1417336877\t18.690000\n1417337477\t18.690000\n1417338078\t18.690000\n1417338679\t18.620000\n1417339279\t18.620000\n1417339880\t18.620000\n1417340480\t18.620000\n1417341081\t18.620000\n1417341681\t18.620000\n1417342282\t18.620000\n1417342882\t18.620000\n1417343483\t18.620000\n1417344084\t18.620000\n1417344684\t18.560000\n1417345285\t18.560000\n1417345900\t18.620000\n1417346501\t18.560000\n1417347101\t18.620000\n1417347702\t18.560000\n1417348302\t18.560000\n1417348903\t18.560000\n1417349503\t18.560000\n1417350104\t18.560000\n1417350705\t18.560000\n1417351305\t18.560000\n1417351906\t18.560000\n1417352506\t18.560000\n1417353107\t18.560000\n1417353707\t18.560000\n1417354308\t18.250000\n1417354908\t18.440000\n1417355509\t18.310000\n1417356109\t18.440000\n1417356710\t18.500000\n1417357311\t18.500000\n1417357911\t18.500000\n1417358512\t18.500000\n1417359112\t18.500000\n1417359713\t18.500000\n1417360313\t18.500000\n1417360914\t18.500000\n1417361514\t18.440000\n1417362115\t18.440000\n1417362715\t18.500000\n1417363316\t18.500000\n1417363916\t18.500000\n1417364517\t18.500000\n1417365132\t18.500000\n1417365733\t18.500000\n1417366334\t18.500000\n1417366934\t18.500000\n1417367535\t18.440000\n1417368135\t18.440000\n1417368736\t18.440000\n1417369336\t18.440000\n1417369937\t18.440000\n1417370537\t18.440000\n1417371138\t18.440000\n1417371738\t18.440000\n1417372339\t18.440000\n1417372939\t18.440000\n1417373540\t18.440000\n1417374140\t18.440000\n1417374741\t18.440000\n1417375342\t18.380000\n1417375942\t18.380000\n1417376543\t18.380000\n1417377143\t18.380000\n1417377744\t18.380000\n1417378344\t18.380000\n1417378945\t18.380000\n1417379545\t18.380000\n1417380146\t18.380000\n1417380746\t18.310000\n1417381347\t18.310000\n1417381947\t18.310000\n1417382548\t18.310000\n1417383149\t18.310000\n1417383764\t18.310000\n1417384365\t18.250000\n1417384965\t18.310000\n1417385566\t18.310000\n1417386166\t18.310000\n1417386767\t18.250000\n1417387367\t18.250000\n1417387968\t18.250000\n1417388568\t18.250000\n1417389169\t18.250000\n1417389769\t18.310000\n1417390370\t18.310000\n1417390971\t18.310000\n1417391571\t18.310000\n1417392172\t18.310000\n1417392772\t18.250000\n1417393373\t18.310000\n1417393973\t18.250000\n1417394574\t18.250000\n1417395174\t18.250000\n1417395775\t18.250000\n1417396375\t18.250000\n1417396976\t18.250000\n1417397576\t18.190000\n1417398177\t18.190000\n1417398777\t18.190000\n1417399378\t18.190000\n1417399979\t18.190000\n1417400579\t18.190000\n1417401180\t18.190000\n1417401780\t18.190000\n1417402396\t18.190000\n1417402996\t18.190000\n1417403597\t18.190000\n1417404197\t18.190000\n1417404798\t18.250000\n1417405398\t18.190000\n1417405999\t18.190000\n1417406600\t18.190000\n1417407200\t18.190000\n1417407801\t18.120000\n1417408401\t18.120000\n1417409002\t18.120000\n1417409602\t18.120000\n1417410203\t18.190000\n1417410803\t18.120000\n1417411404\t18.120000\n1417412004\t18.120000\n1417412605\t18.120000\n1417413205\t18.120000\n1417413806\t18.120000\n1417414407\t18.120000\n1417415007\t18.120000\n1417415608\t18.190000\n1417416208\t18.120000\n1417416809\t18.120000\n1417417409\t18.120000\n1417418010\t18.120000\n1417418610\t18.120000\n1417419211\t18.060000\n1417419811\t18.060000\n1417420427\t18.060000\n1417421028\t18.060000\n1417421628\t17.810000\n1417422229\t17.940000\n1417422829\t17.940000\n1417423430\t18.000000\n1417424030\t18.000000\n1417424631\t18.060000\n1417425231\t18.060000\n1417425832\t18.060000\n1417426432\t18.060000\n1417427033\t18.060000\n1417427634\t18.060000\n1417428234\t18.060000\n1417428835\t18.060000\n1417429435\t18.060000\n1417430036\t18.060000\n1417430636\t18.120000\n1417431237\t18.120000\n1417431837\t18.120000\n1417432438\t18.120000\n1417433038\t18.120000\n1417433639\t18.120000\n1417434239\t18.120000\n1417434840\t18.120000\n1417435441\t18.120000\n1417436041\t18.120000\n1417436642\t18.120000\n1417437242\t18.120000\n1417437843\t18.120000\n1417438443\t18.120000\n1417439059\t18.120000\n1417439659\t18.120000\n1417440260\t18.120000\n1417440860\t18.060000\n1417441461\t18.060000\n1417442061\t18.060000\n1417442662\t18.060000\n1417443262\t18.060000\n1417443863\t18.060000\n1417444464\t18.060000\n1417445064\t18.120000\n1417445665\t18.120000\n1417446265\t18.120000\n1417446866\t18.060000\n1417447466\t18.120000\n1417448067\t18.060000\n1417448667\t18.060000\n1417449268\t18.120000\n1417449868\t18.120000\n1417450469\t18.120000\n1417451069\t18.120000\n1417451670\t18.120000\n1417452270\t18.120000\n1417452871\t18.060000\n1417453472\t18.120000\n1417454072\t18.060000\n1417454673\t18.060000\n1417455273\t18.060000\n1417455874\t18.060000\n1417456474\t18.060000\n1417457075\t18.000000\n1417457690\t18.060000\n1417458291\t18.060000\n1417458891\t18.060000\n1417459492\t18.060000\n1417460092\t18.000000\n1417460693\t18.060000\n1417461293\t18.000000\n1417461894\t18.000000\n1417462495\t18.060000\n1417463095\t18.060000\n1417463696\t18.060000\n1417464296\t18.060000\n1417464897\t18.060000\n1417465497\t18.060000\n1417466098\t18.060000\n1417466698\t18.060000\n1417467299\t18.060000\n1417467899\t18.060000\n1417468500\t18.060000\n1417469100\t18.060000\n1417469701\t18.060000\n1417470302\t18.060000\n1417470902\t18.060000\n1417471503\t18.060000\n1417472103\t18.060000\n1417472704\t18.000000\n1417473304\t18.060000\n1417473905\t18.060000\n1417474505\t18.060000\n1417475106\t18.000000\n1417475706\t18.060000\n1417476322\t18.060000\n1417476922\t18.120000\n1417477523\t18.120000\n1417478124\t18.060000\n1417478724\t18.060000\n1417479325\t18.120000\n1417479925\t18.060000\n1417480526\t18.060000\n1417481126\t18.000000\n1417481727\t17.940000\n1417482327\t18.000000\n1417482928\t18.060000\n1417483528\t18.060000\n1417484129\t18.060000\n1417484729\t17.880000\n1417485330\t17.880000\n1417485930\t17.940000\n1417486531\t18.000000\n1417487131\t18.000000\n1417487732\t17.940000\n1417488333\t17.810000\n1417488933\t17.810000\n1417489534\t17.750000\n1417490134\t17.810000\n1417490735\t17.810000\n1417491335\t17.750000\n1417491936\t17.750000\n1417492536\t17.620000\n1417493137\t17.620000\n1417493753\t17.810000\n1417494353\t17.690000\n1417494954\t17.560000\n1417495554\t17.620000\n1417496155\t17.620000\n1417496755\t17.690000\n1417497356\t17.750000\n1417497956\t17.690000\n1417498557\t17.690000\n1417499157\t17.750000\n1417499758\t17.690000\n1417500358\t17.560000\n1417500959\t17.500000\n1417501560\t17.440000\n1417502160\t17.380000\n1417502761\t17.440000\n1417503361\t17.380000\n1417503962\t17.310000\n1417504562\t17.310000\n1417505163\t17.380000\n1417505763\t17.380000\n1417506364\t17.380000\n1417506964\t17.310000\n1417507565\t17.310000\n1417508165\t17.310000\n1417508766\t17.250000\n1417509366\t17.250000\n1417509967\t17.190000\n1417510568\t17.250000\n1417511168\t17.190000\n1417511784\t17.120000\n1417512384\t17.120000\n1417512985\t17.120000\n1417513585\t17.060000\n1417514186\t17.060000\n1417514786\t17.120000\n1417515387\t17.120000\n1417515987\t17.120000\n1417516588\t17.190000\n1417517189\t17.120000\n1417517789\t17.120000\n1417518390\t17.120000\n1417518990\t17.120000\n1417519591\t17.120000\n1417520191\t17.120000\n1417520792\t17.120000\n1417521392\t17.190000\n1417521993\t17.190000\n1417522593\t17.250000\n1417523194\t17.310000\n1417523794\t17.310000\n1417524395\t17.380000\n1417524996\t17.500000\n1417525596\t17.560000\n1417526197\t17.560000\n1417526797\t17.560000\n1417527398\t17.620000\n1417527998\t17.620000\n1417528599\t17.560000\n1417529199\t17.620000\n1417529800\t17.620000\n1417530400\t17.620000\n1417531016\t17.620000\n1417531616\t17.620000\n1417532217\t17.500000\n1417532818\t17.440000\n1417533418\t17.500000\n1417534019\t17.440000\n1417534619\t17.380000\n1417535220\t17.380000\n1417535820\t17.310000\n1417536421\t17.310000\n1417537021\t17.310000\n1417537622\t17.310000\n1417538222\t17.310000\n1417538823\t17.250000\n1417539423\t17.250000\n1417540024\t17.250000\n1417540624\t17.310000\n1417541225\t17.190000\n1417541826\t17.120000\n1417542426\t17.120000\n1417543027\t17.060000\n1417543627\t17.120000\n1417544228\t17.190000\n1417544828\t17.250000\n1417545429\t17.250000\n1417546029\t17.250000\n1417546630\t17.310000\n1417547230\t17.380000\n1417547831\t17.310000\n1417548432\t17.310000\n1417549047\t17.440000\n1417549648\t17.440000\n1417550248\t17.500000\n1417550849\t17.500000\n1417551449\t17.500000\n1417552050\t17.560000\n1417552650\t17.560000\n1417553251\t17.560000\n1417553852\t17.620000\n1417554452\t17.620000\n1417555053\t17.620000\n1417555653\t17.620000\n1417556254\t17.620000\n1417556854\t17.560000\n1417557455\t17.560000\n1417558055\t17.560000\n1417558656\t17.560000\n1417559256\t17.560000\n1417559857\t17.560000\n1417560457\t17.620000\n1417561058\t17.620000\n1417561658\t17.620000\n1417562259\t17.620000\n1417562860\t17.620000\n1417563460\t17.620000\n1417564061\t17.620000\n1417564661\t17.560000\n1417565262\t17.620000\n1417565862\t17.620000\n1417566463\t17.620000\n1417567063\t17.690000\n1417567679\t17.690000\n1417568280\t17.690000\n1417568880\t17.690000\n1417569481\t17.690000\n1417570081\t17.690000\n1417570682\t17.690000\n1417571282\t17.690000\n1417571883\t17.690000\n1417572483\t17.690000\n1417573084\t17.690000\n1417573684\t17.690000\n1417574285\t17.690000\n1417574886\t17.690000\n1417575486\t17.690000\n1417576087\t17.690000\n1417576687\t17.690000\n1417577288\t17.690000\n1417577888\t17.690000\n1417578489\t17.690000\n1417579089\t17.690000\n1417579690\t17.690000\n1417580290\t17.690000\n1417580891\t17.690000\n1417581491\t17.690000\n1417582092\t17.690000\n1417582692\t17.690000\n1417583293\t17.690000\n1417583893\t17.690000\n1417584494\t17.690000\n1417585095\t17.690000\n1417585710\t17.690000\n1417586311\t17.690000\n1417586911\t17.690000\n1417587512\t17.690000\n1417588112\t17.690000\n1417588713\t17.690000\n1417589313\t17.690000\n1417589914\t17.690000\n1417590514\t17.690000\n1417591115\t17.690000\n1417591715\t17.690000\n1417592316\t17.690000\n1417592917\t17.690000\n1417593517\t17.690000\n1417594118\t17.690000\n1417594718\t17.690000\n1417595319\t17.690000\n1417595919\t17.620000\n1417596520\t17.690000\n1417597120\t17.620000\n1417597721\t17.690000\n1417598321\t17.690000\n1417598922\t17.690000\n1417599522\t17.690000\n1417600123\t17.690000\n1417600724\t17.690000\n1417601324\t17.690000\n1417601925\t17.620000\n1417602525\t17.620000\n1417603141\t17.620000\n1417603741\t17.620000\n1417604342\t17.560000\n1417604942\t17.620000\n1417605543\t17.690000\n1417606143\t17.690000\n1417606744\t17.690000\n1417607345\t17.690000\n1417607945\t17.690000\n1417608546\t17.690000\n1417609146\t17.690000\n1417609747\t17.690000\n1417610347\t17.750000\n1417610948\t17.750000\n1417611548\t17.690000\n1417612149\t17.690000\n1417612749\t17.690000\n1417613350\t17.560000\n1417613950\t17.560000\n1417614551\t17.560000\n1417615151\t17.560000\n1417615752\t17.620000\n1417616353\t17.560000\n1417616953\t17.440000\n1417617554\t17.440000\n1417618154\t17.440000\n1417618755\t17.380000\n1417619355\t17.380000\n1417619956\t17.380000\n1417620556\t17.310000\n1417621157\t17.310000\n1417621772\t17.310000\n1417622373\t17.440000\n1417622974\t17.310000\n1417623574\t17.250000\n1417624175\t17.250000\n1417624775\t17.250000\n1417625376\t17.310000\n1417625976\t17.380000\n1417626577\t17.440000\n1417627177\t17.440000\n1417627778\t17.310000\n1417628378\t17.310000\n1417628979\t17.250000\n1417629579\t17.250000\n1417630180\t17.250000\n1417630780\t17.190000\n1417631381\t17.120000\n1417631982\t17.060000\n1417632582\t17.060000\n1417633183\t17.120000\n1417633783\t17.250000\n1417634384\t17.190000\n1417634984\t17.190000\n1417635585\t17.250000\n1417636185\t17.190000\n1417636786\t17.120000\n1417637386\t17.000000\n1417637987\t16.940000\n1417638587\t16.880000\n1417639188\t16.940000\n1417639789\t16.940000\n1417640404\t17.000000\n1417641005\t17.000000\n1417641605\t16.940000\n1417642206\t16.940000\n1417642806\t16.940000\n1417643407\t16.880000\n1417644007\t16.880000\n1417644608\t16.880000\n1417645208\t16.940000\n1417645809\t17.000000\n1417646410\t16.940000\n1417647010\t16.940000\n1417647611\t17.000000\n1417648211\t17.060000\n1417648812\t17.060000\n1417649412\t17.120000\n1417650013\t17.060000\n1417650613\t17.000000\n1417651214\t17.060000\n1417651814\t17.120000\n1417652415\t17.120000\n1417653015\t17.190000\n1417653616\t17.250000\n1417654216\t17.250000\n1417654817\t17.250000\n1417655418\t17.250000\n1417656018\t17.310000\n1417656619\t17.250000\n1417657219\t17.250000\n1417657820\t17.250000\n1417658420\t17.250000\n1417659036\t17.310000\n1417659636\t17.440000\n1417660237\t17.380000\n1417660837\t17.250000\n1417661438\t17.380000\n1417662038\t17.440000\n1417662639\t17.380000\n1417663240\t17.440000\n1417663840\t17.310000\n1417664441\t17.310000\n1417665041\t17.250000\n1417665642\t17.250000\n1417666242\t17.250000\n1417666843\t17.250000\n1417667443\t17.310000\n1417668044\t17.380000\n1417668644\t17.380000\n1417669245\t17.440000\n1417669845\t17.440000\n1417670446\t17.380000\n1417671047\t17.380000\n1417671647\t17.440000\n1417672248\t17.440000\n1417672848\t17.440000\n1417673449\t17.500000\n1417674049\t17.500000\n1417674650\t17.500000\n1417675250\t17.500000\n1417675851\t17.500000\n1417676451\t17.560000\n1417677052\t17.560000\n1417677667\t17.500000\n1417678268\t17.500000\n1417678868\t17.500000\n1417679469\t17.500000\n1417680070\t17.500000\n1417680670\t17.560000\n1417681271\t17.560000\n1417681871\t17.500000\n1417682472\t17.440000\n1417683072\t17.500000\n1417683673\t17.500000\n1417684273\t17.560000\n1417684874\t17.560000\n1417685474\t17.500000\n1417686075\t17.560000\n1417686675\t17.560000\n1417687276\t17.620000\n1417687876\t17.620000\n1417688477\t17.620000\n1417689078\t17.690000\n1417689678\t17.690000\n1417690279\t17.690000\n1417690879\t17.750000\n1417691480\t17.750000\n1417692080\t17.750000\n1417692681\t17.750000\n1417693281\t17.810000\n1417693882\t17.810000\n1417694482\t17.810000\n1417695083\t17.880000\n1417695684\t17.880000\n1417696284\t17.880000\n1417696885\t17.880000\n1417697485\t17.880000\n1417698101\t17.880000\n1417698701\t17.880000\n1417699302\t17.880000\n1417699902\t17.880000\n1417700503\t17.940000\n1417701103\t17.940000\n1417701704\t17.940000\n1417702304\t17.940000\n1417702905\t17.940000\n1417703506\t17.880000\n1417704106\t17.810000\n1417704707\t17.940000\n1417705307\t17.940000\n1417705908\t17.940000\n1417706508\t18.060000\n1417707109\t18.060000\n1417707709\t18.060000\n1417708310\t18.000000\n1417708910\t18.060000\n1417709511\t18.060000\n1417710111\t18.060000\n1417710712\t18.060000\n1417711313\t18.060000\n1417711913\t18.060000\n1417712514\t18.060000\n1417713114\t18.120000\n1417713715\t18.120000\n1417714315\t18.120000\n1417714916\t18.120000\n1417715516\t18.120000\n1417716117\t18.120000\n1417716717\t18.120000\n1417717318\t18.120000\n1417717918\t18.120000\n1417718534\t18.190000\n1417719134\t18.120000\n1417719735\t18.190000\n1417720336\t18.190000\n1417720936\t18.190000\n1417721537\t18.120000\n1417722137\t18.190000\n1417722738\t17.440000\n1417723338\t17.750000\n1417723939\t17.940000\n1417724539\t18.000000\n1417725140\t18.060000\n1417725740\t18.060000\n1417726341\t18.120000\n1417726942\t18.120000\n1417727542\t18.120000\n1417728143\t18.060000\n1417728743\t18.060000\n1417729344\t18.060000\n1417729944\t18.060000\n1417730545\t18.000000\n1417731145\t18.000000\n1417731746\t18.060000\n1417732346\t18.120000\n1417732947\t18.120000\n1417733548\t18.190000\n1417734148\t18.120000\n1417734749\t18.190000\n1417735349\t18.190000\n1417735950\t18.250000\n1417736550\t18.250000\n1417737151\t18.250000\n1417737751\t18.060000\n1417738352\t18.000000\n1417738967\t17.940000\n1417739568\t17.940000\n1417740168\t18.000000\n1417740769\t18.000000\n1417741369\t18.000000\n1417741970\t18.060000\n1417742570\t18.190000\n1417743171\t18.190000\n1417743772\t18.250000\n1417744372\t18.250000\n1417744973\t18.250000\n1417745573\t18.190000\n1417746174\t18.190000\n1417746774\t18.250000\n1417747375\t18.190000\n1417747975\t18.120000\n1417748576\t18.120000\n1417749176\t18.060000\n1417749777\t18.000000\n1417750378\t17.810000\n1417750978\t17.750000\n1417751579\t17.750000\n1417752179\t17.750000\n1417752780\t17.690000\n1417753380\t17.690000\n1417753981\t17.750000\n1417754581\t17.810000\n1417755182\t17.880000\n1417755782\t17.880000\n1417756383\t17.880000\n1417756984\t17.940000\n1417757584\t17.940000\n1417758200\t18.000000\n1417758800\t17.940000\n1417759401\t17.940000\n1417760001\t18.000000\n1417760602\t18.000000\n1417761202\t18.000000\n1417761803\t18.000000\n1417762403\t18.000000\n1417763004\t18.060000\n1417763604\t18.120000\n1417764205\t18.120000\n1417764806\t18.060000\n1417765406\t18.120000\n1417766007\t18.120000\n1417766607\t18.120000\n1417767208\t18.120000\n1417767808\t18.120000\n1417768409\t18.000000\n1417769009\t17.940000\n1417769610\t17.940000\n1417770210\t17.880000\n1417770811\t17.880000\n1417771411\t17.880000\n1417772012\t17.750000\n1417772613\t17.690000\n1417773213\t17.750000\n1417773814\t17.750000\n1417774414\t17.810000\n1417775015\t17.690000\n1417775615\t17.620000\n1417776231\t17.620000\n1417776831\t17.560000\n1417777432\t17.440000\n1417778032\t17.440000\n1417778633\t17.440000\n1417779233\t17.560000\n1417779834\t17.560000\n1417780434\t17.690000\n1417781035\t17.810000\n1417781635\t17.810000\n1417782236\t17.880000\n1417782837\t17.940000\n1417783437\t17.940000\n1417784038\t17.940000\n1417784638\t17.940000\n1417785239\t17.940000\n1417785839\t17.940000\n1417786440\t17.940000\n1417787040\t18.000000\n1417787641\t18.000000\n1417788241\t18.000000\n1417788842\t18.060000\n1417789442\t18.000000\n1417790043\t18.000000\n1417790643\t18.060000\n1417791244\t18.060000\n1417791845\t18.060000\n1417792445\t18.000000\n1417793046\t18.000000\n1417793646\t18.000000\n1417794247\t18.000000\n1417794847\t18.000000\n1417795463\t18.000000\n1417796063\t18.000000\n1417796664\t18.060000\n1417797264\t18.000000\n1417797865\t18.060000\n1417798466\t18.060000\n1417799066\t18.000000\n1417799667\t18.060000\n1417800267\t18.000000\n1417800868\t18.000000\n1417801468\t18.000000\n1417802069\t18.060000\n1417802669\t18.060000\n1417803270\t18.060000\n1417803870\t18.060000\n1417804471\t18.060000\n1417805071\t18.060000\n1417805672\t18.060000\n1417806273\t18.060000\n1417806873\t18.060000\n1417807473\t18.120000\n1417808074\t18.120000\n1417808675\t18.120000\n1417809275\t18.120000\n1417809876\t18.120000\n1417810476\t18.120000\n1417811077\t18.120000\n1417811677\t18.120000\n1417812278\t18.120000\n1417812878\t18.120000\n1417813479\t18.120000\n1417814094\t18.120000\n1417814695\t18.120000\n1417815296\t18.120000\n1417815896\t18.190000\n1417816497\t18.120000\n1417817097\t18.120000\n1417817698\t18.120000\n1417818298\t18.120000\n1417818899\t18.120000\n1417819499\t18.120000\n1417820100\t18.120000\n1417820700\t18.120000\n1417821301\t18.190000\n1417821901\t18.190000\n1417822502\t18.190000\n1417823102\t18.190000\n1417823703\t18.190000\n1417824304\t18.190000\n1417824904\t18.190000\n1417825505\t18.190000\n1417826105\t18.190000\n1417826706\t18.190000\n1417827306\t18.250000\n1417827907\t18.190000\n1417828507\t18.250000\n1417829108\t18.250000\n1417829708\t18.250000\n1417830309\t18.250000\n1417830909\t18.190000\n1417831525\t18.250000\n1417832126\t18.250000\n1417832726\t18.250000\n1417833327\t18.250000\n1417833927\t18.250000\n1417834528\t18.310000\n1417835128\t18.310000\n1417835729\t18.310000\n1417836329\t18.310000\n1417836930\t18.310000\n1417837530\t18.310000\n1417838131\t18.310000\n1417838731\t18.310000\n1417839332\t18.310000\n1417839932\t18.310000\n1417840533\t18.310000\n1417841134\t18.310000\n1417841734\t18.310000\n1417842335\t18.380000\n1417842935\t18.380000\n1417843536\t18.380000\n1417844136\t18.380000\n1417844737\t18.380000\n1417845337\t18.310000\n1417845938\t18.310000\n1417846538\t18.380000\n1417847139\t18.310000\n1417847739\t18.380000\n1417848340\t18.380000\n1417848941\t18.380000\n1417849556\t18.380000\n1417850157\t18.380000\n1417850757\t18.380000\n1417851358\t18.380000\n1417851958\t18.380000\n1417852559\t18.440000\n1417853159\t18.380000\n1417853760\t18.380000\n1417854360\t18.380000\n1417854961\t18.380000\n1417855561\t18.380000\n1417856162\t18.380000\n1417856762\t18.380000\n1417857363\t18.380000\n1417857964\t18.380000\n1417858564\t18.380000\n1417859165\t18.380000\n1417859765\t18.380000\n1417860366\t18.380000\n1417860966\t18.380000\n1417861567\t18.380000\n1417862167\t18.380000\n1417862768\t18.380000\n1417863368\t18.380000\n1417863969\t18.380000\n1417864570\t18.380000\n1417865170\t18.380000\n1417865771\t18.380000\n1417866371\t18.440000\n1417866987\t18.440000\n1417867587\t18.440000\n1417868188\t18.440000\n1417868788\t18.440000\n1417869389\t18.440000\n1417869989\t18.500000\n1417870590\t18.500000\n1417871191\t18.440000\n1417871791\t18.500000\n1417872392\t18.500000\n1417872992\t18.500000\n1417873593\t18.500000\n1417874193\t18.500000\n1417874794\t18.500000\n1417875394\t18.500000\n1417875995\t18.500000\n1417876595\t18.500000\n1417877196\t18.500000\n1417877796\t18.500000\n1417878397\t18.440000\n1417878997\t18.500000\n1417879598\t18.500000\n1417880198\t18.500000\n1417880799\t18.500000\n1417881400\t18.500000\n1417882000\t18.500000\n1417882601\t18.500000\n1417883201\t18.500000\n1417883802\t18.500000\n1417884402\t18.500000\n1417885018\t18.440000\n1417885618\t18.500000\n1417886219\t18.440000\n1417886819\t18.440000\n1417887420\t18.380000\n1417888020\t18.310000\n1417888621\t18.250000\n1417889221\t18.250000\n1417889822\t18.190000\n1417890423\t18.190000\n1417891023\t18.250000\n1417891624\t18.250000\n1417892224\t18.190000\n1417892825\t18.250000\n1417893425\t18.190000\n1417894026\t18.190000\n1417894626\t18.190000\n1417895227\t18.190000\n1417895827\t18.190000\n1417896428\t18.250000\n1417897028\t18.310000\n1417897629\t18.310000\n1417898230\t18.310000\n1417898830\t18.250000\n1417899431\t18.310000\n1417900031\t18.310000\n1417900632\t18.310000\n1417901232\t18.310000\n1417901833\t18.310000\n1417902448\t18.310000\n1417903049\t18.310000\n1417903649\t18.310000\n1417904250\t18.250000\n1417904850\t18.310000\n1417905451\t18.190000\n1417906051\t18.120000\n1417906652\t18.060000\n1417907252\t18.060000\n1417907853\t18.060000\n1417908453\t18.190000\n1417909054\t18.190000\n1417909654\t18.250000\n1417910255\t18.250000\n1417910855\t18.250000\n1417911456\t18.310000\n1417912056\t18.250000\n1417912657\t18.310000\n1417913257\t18.310000\n1417913858\t18.190000\n1417914459\t18.190000\n1417915059\t18.190000\n1417915660\t18.190000\n1417916260\t18.000000\n1417916861\t17.940000\n1417917461\t18.000000\n1417918062\t18.000000\n1417918662\t17.940000\n1417919263\t17.940000\n1417919863\t18.000000\n1417920479\t17.940000\n1417921080\t17.880000\n1417921680\t17.810000\n1417922281\t17.750000\n1417922881\t17.690000\n1417923482\t17.560000\n1417924082\t17.500000\n1417924683\t17.440000\n1417925283\t17.310000\n1417925884\t17.190000\n1417926484\t17.120000\n1417927085\t17.120000\n1417927686\t17.120000\n1417928286\t17.060000\n1417928887\t17.060000\n1417929487\t17.000000\n1417930088\t17.000000\n1417930688\t17.060000\n1417931289\t17.060000\n1417931889\t17.120000\n1417932490\t17.120000\n1417933090\t17.120000\n1417933691\t17.190000\n1417934292\t17.250000\n1417934892\t17.310000\n1417935493\t17.310000\n1417936093\t17.250000\n1417936694\t17.250000\n1417937294\t17.120000\n1417937895\t17.190000\n1417938510\t17.120000\n1417939111\t17.190000\n1417939711\t17.250000\n1417940312\t17.250000\n1417940912\t17.190000\n1417941513\t17.190000\n1417942114\t17.190000\n1417942714\t17.120000\n1417943315\t17.060000\n1417943915\t17.000000\n1417944516\t17.000000\n1417945116\t16.940000\n1417945717\t16.880000\n1417946317\t16.810000\n1417946918\t16.690000\n1417947518\t16.620000\n1417948119\t16.620000\n1417948720\t16.560000\n1417949320\t16.500000\n1417949921\t16.440000\n1417950521\t16.500000\n1417951122\t16.190000\n1417951722\t16.310000\n1417952323\t16.380000\n1417952923\t16.440000\n1417953524\t16.500000\n1417954125\t16.440000\n1417954725\t16.440000\n1417955326\t16.440000\n1417955926\t16.380000\n1417956527\t16.310000\n1417957127\t16.310000\n1417957743\t16.250000\n1417958343\t16.250000\n1417958944\t16.310000\n1417959544\t16.310000\n1417960145\t16.310000\n1417960746\t16.380000\n1417961346\t16.440000\n1417961947\t16.440000\n1417962547\t16.560000\n1417963148\t16.560000\n1417963748\t16.500000\n1417964349\t16.500000\n1417964949\t16.500000\n1417965550\t16.440000\n1417966150\t16.380000\n1417966751\t16.310000\n1417967352\t16.310000\n1417967952\t16.190000\n1417968553\t16.060000\n1417969153\t16.120000\n1417969754\t16.060000\n1417970354\t16.120000\n1417970955\t16.190000\n1417971555\t16.190000\n1417972156\t16.190000\n1417972757\t16.190000\n1417973357\t16.120000\n1417973958\t16.120000\n1417974558\t16.120000\n1417975159\t16.120000\n1417975759\t16.120000\n1417976375\t16.120000\n1417976975\t16.060000\n1417977576\t16.000000\n1417978176\t15.940000\n1417978777\t15.940000\n1417979377\t16.000000\n1417979978\t15.940000\n1417980579\t16.060000\n1417981179\t16.060000\n1417981780\t16.120000\n1417982380\t16.120000\n1417982981\t16.190000\n1417983581\t16.190000\n1417984182\t16.120000\n1417984782\t16.120000\n1417985383\t16.060000\n1417985983\t16.060000\n1417986584\t16.060000\n1417987185\t16.120000\n1417987785\t16.120000\n1417988386\t16.120000\n1417988986\t16.250000\n1417989587\t16.380000\n1417990187\t16.310000\n1417990788\t16.250000\n1417991388\t16.250000\n1417991989\t16.190000\n1417992590\t16.250000\n1417993190\t16.250000\n1417993791\t16.190000\n1417994406\t16.250000\n1417995007\t16.250000\n1417995607\t16.310000\n1417996208\t16.310000\n1417996808\t16.380000\n1417997409\t16.380000\n1417998009\t16.440000\n1417998610\t16.500000\n1417999210\t16.440000\n1417999811\t16.500000\n1418000411\t16.440000\n1418001012\t16.440000\n1418001613\t16.440000\n1418002213\t16.380000\n1418002814\t16.440000\n1418003414\t16.380000\n1418004015\t16.500000\n1418004615\t16.440000\n1418005216\t16.440000\n1418005816\t16.440000\n1418006417\t16.380000\n1418007017\t16.440000\n1418007618\t16.380000\n1418008218\t16.380000\n1418008819\t16.440000\n1418009419\t16.440000\n1418010020\t16.440000\n1418010620\t16.440000\n1418011221\t16.500000\n1418011837\t16.500000\n1418012437\t16.620000\n1418013038\t16.690000\n1418013638\t16.620000\n1418014239\t16.560000\n1418014839\t16.560000\n1418015440\t16.620000\n1418016040\t16.690000\n1418016641\t16.690000\n1418017241\t16.690000\n1418017842\t16.750000\n1418018443\t16.810000\n1418019043\t16.810000\n1418019644\t16.880000\n1418020244\t16.880000\n1418020845\t16.880000\n1418021445\t16.940000\n1418022046\t16.940000\n1418022646\t16.880000\n1418023247\t16.810000\n1418023847\t16.750000\n1418024448\t16.620000\n1418025048\t16.620000\n1418025649\t16.560000\n1418026249\t16.560000\n1418026850\t16.560000\n1418027450\t16.560000\n1418028051\t16.500000\n1418028651\t16.560000\n1418029267\t16.560000\n1418029868\t16.620000\n1418030468\t16.690000\n1418031069\t16.690000\n1418031669\t16.690000\n1418032270\t16.810000\n1418032870\t16.810000\n1418033471\t17.000000\n1418034071\t16.940000\n1418034672\t16.940000\n1418035272\t17.000000\n1418035873\t17.060000\n1418036473\t17.000000\n1418037074\t17.000000\n1418037674\t17.060000\n1418038275\t17.120000\n1418038876\t17.120000\n1418039476\t17.120000\n1418040077\t17.190000\n1418040677\t17.190000\n1418041278\t17.190000\n1418041878\t17.190000\n1418042479\t17.120000\n1418043079\t17.060000\n1418043680\t17.120000\n1418044280\t17.120000\n1418044881\t16.440000\n1418045481\t17.000000\n1418046082\t17.250000\n1418046683\t17.440000\n1418047283\t17.690000\n1418047884\t17.750000\n1418048499\t17.810000\n1418049100\t17.940000\n1418049700\t18.000000\n1418050301\t18.060000\n1418050901\t18.120000\n1418051502\t18.250000\n1418052102\t18.380000\n1418052703\t18.440000\n1418053303\t18.500000\n1418053904\t18.500000\n1418054504\t18.560000\n1418055105\t18.560000\n1418055706\t18.620000\n1418056306\t18.620000\n1418056907\t18.620000\n1418057507\t18.620000\n1418058108\t18.620000\n1418058708\t18.620000\n1418059309\t18.750000\n1418059909\t18.750000\n1418060510\t18.690000\n1418061110\t18.750000\n1418061711\t18.880000\n1418062312\t18.940000\n1418062912\t19.000000\n1418063513\t19.000000\n1418064113\t19.000000\n1418064714\t18.940000\n1418065314\t18.940000\n1418065915\t18.880000\n1418066515\t18.880000\n1418067131\t18.880000\n1418067731\t18.940000\n1418068332\t19.000000\n1418068933\t19.000000\n1418069533\t19.060000\n1418070134\t19.060000\n1418070734\t19.000000\n1418071335\t19.060000\n1418071935\t19.060000\n1418072536\t19.120000\n1418073136\t19.120000\n1418073737\t19.120000\n1418074337\t19.190000\n1418074938\t19.190000\n1418075538\t19.190000\n1418076139\t19.190000\n1418076739\t19.120000\n1418077340\t19.060000\n1418077940\t19.190000\n1418078541\t19.190000\n1418079142\t19.120000\n1418079742\t19.060000\n1418080343\t19.120000\n1418080943\t19.250000\n1418081544\t19.310000\n1418082144\t19.310000\n1418082745\t19.190000\n1418083345\t19.120000\n1418083946\t19.060000\n1418084546\t19.000000\n1418085147\t19.000000\n1418085762\t19.120000\n1418086363\t19.190000\n1418086963\t19.190000\n1418087564\t19.120000\n1418088165\t19.250000\n1418088765\t19.310000\n1418089366\t19.380000\n1418089966\t19.440000\n1418090567\t19.500000\n1418091167\t19.500000\n1418091768\t19.500000\n1418092368\t19.560000\n1418092969\t19.500000\n1418093569\t19.440000\n1418094170\t19.380000\n1418094771\t19.380000\n1418095371\t19.380000\n1418095972\t19.310000\n1418096572\t19.380000\n1418097173\t19.380000\n1418097773\t19.440000\n1418098374\t19.440000\n1418098974\t19.500000\n1418099575\t19.560000\n1418100175\t19.560000\n1418100776\t19.620000\n1418101376\t19.560000\n1418101977\t19.620000\n1418102577\t19.620000\n1418103178\t19.620000\n1418103778\t19.620000\n1418104379\t19.620000\n1418104980\t19.620000\n1418105580\t19.560000\n1418106181\t19.500000\n1418106796\t19.500000\n1418107397\t19.440000\n1418107997\t19.500000\n1418108598\t19.500000\n1418109198\t19.500000\n1418109799\t19.500000\n1418110399\t19.500000\n1418111000\t19.560000\n1418111600\t19.500000\n1418112201\t19.440000\n1418112802\t19.380000\n1418113402\t19.380000\n1418114003\t19.380000\n1418114603\t19.440000\n1418115204\t19.500000\n1418115804\t19.560000\n1418116405\t19.620000\n1418117005\t19.620000\n1418117606\t19.620000\n1418118206\t19.620000\n1418118807\t19.620000\n1418119407\t19.560000\n1418120008\t19.500000\n1418120609\t19.500000\n1418121209\t19.500000\n1418121810\t19.500000\n1418122410\t19.500000\n1418123011\t19.500000\n1418123611\t19.500000\n1418124212\t19.560000\n1418124812\t19.560000\n1418125413\t19.620000\n1418126013\t19.620000\n1418126614\t19.620000\n1418127215\t19.690000\n1418127830\t19.620000\n1418128431\t19.620000\n1418129031\t19.690000\n1418129632\t19.750000\n1418130232\t19.750000\n1418130833\t19.810000\n1418131433\t19.810000\n1418132034\t19.810000\n1418132634\t19.810000\n1418133235\t19.810000\n1418133836\t19.880000\n1418134436\t19.810000\n1418135037\t19.880000\n1418135637\t19.810000\n1418136238\t19.880000\n1418136838\t19.880000\n1418137439\t19.880000\n1418138039\t19.880000\n1418138640\t19.880000\n1418139240\t19.880000\n1418139841\t19.880000\n1418140442\t19.940000\n1418141042\t19.940000\n1418141643\t19.880000\n1418142243\t19.880000\n1418142844\t19.810000\n1418143444\t19.750000\n1418144045\t19.690000\n1418144645\t19.620000\n1418145246\t19.500000\n1418145846\t19.440000\n1418146447\t19.440000\n1418147048\t19.380000\n1418147663\t19.310000\n1418148264\t19.310000\n1418148864\t19.440000\n1418149465\t19.440000\n1418150065\t19.560000\n1418150666\t19.620000\n1418151266\t19.620000\n1418151867\t19.690000\n1418152468\t19.620000\n1418153068\t19.560000\n1418153669\t19.560000\n1418154269\t19.560000\n1418154870\t19.500000\n1418155470\t19.500000\n1418156071\t19.500000\n1418156671\t19.440000\n1418157272\t19.380000\n1418157872\t19.380000\n1418158473\t19.440000\n1418159073\t19.440000\n1418159674\t19.380000\n1418160275\t19.310000\n1418160875\t19.310000\n1418161476\t19.310000\n1418162076\t19.250000\n1418162677\t19.250000\n1418163277\t19.190000\n1418163878\t19.120000\n1418164478\t19.060000\n1418165079\t18.940000\n1418165679\t18.750000\n1418166295\t18.690000\n1418166895\t18.500000\n1418167496\t18.440000\n1418168096\t18.440000\n1418168697\t18.500000\n1418169297\t18.440000\n1418169898\t18.310000\n1418170499\t18.190000\n1418171099\t18.120000\n1418171700\t18.190000\n1418172300\t18.060000\n1418172901\t17.940000\n1418173501\t17.880000\n1418174102\t17.810000\n1418174702\t17.750000\n1418175303\t17.750000\n1418175903\t17.810000\n1418176504\t17.750000\n1418177104\t17.620000\n1418177705\t17.560000\n1418178306\t17.500000\n1418178906\t17.500000\n1418179507\t17.500000\n1418180107\t17.560000\n1418180708\t17.560000\n1418181308\t17.500000\n1418181909\t17.440000\n1418182509\t17.380000\n1418183110\t17.440000\n1418183725\t17.380000\n1418184326\t17.380000\n1418184926\t17.380000\n1418185527\t17.380000\n1418186128\t17.310000\n1418186728\t17.250000\n1418187329\t17.250000\n1418187929\t17.310000\n1418188530\t17.380000\n1418189130\t17.310000\n1418189731\t17.310000\n1418190331\t17.310000\n1418190932\t17.310000\n1418191532\t17.380000\n1418192133\t17.380000\n1418192733\t17.380000\n1418193334\t17.380000\n1418193934\t17.310000\n1418194535\t17.440000\n1418195135\t17.250000\n1418195736\t17.250000\n1418196336\t17.310000\n1418196937\t17.250000\n1418197538\t17.190000\n1418198138\t17.120000\n1418198739\t17.120000\n1418199339\t17.190000\n1418199940\t17.190000\n1418200540\t17.190000\n1418201156\t17.310000\n1418201756\t17.380000\n1418202357\t17.190000\n1418202957\t17.120000\n1418203558\t17.120000\n1418204158\t17.060000\n1418204759\t17.000000\n1418205360\t16.940000\n1418205960\t16.940000\n1418206561\t16.880000\n1418207161\t16.940000\n1418207762\t16.880000\n1418208362\t16.880000\n1418208963\t16.810000\n1418209563\t16.810000\n1418210164\t16.880000\n1418210764\t16.880000\n1418211365\t16.880000\n1418211966\t16.940000\n1418212566\t17.000000\n1418213167\t16.940000\n1418213767\t16.940000\n1418214368\t17.060000\n1418214968\t16.750000\n1418215569\t16.810000\n1418216169\t16.620000\n1418216770\t16.810000\n1418217370\t16.940000\n1418217971\t17.120000\n1418218571\t17.190000\n1418219172\t17.190000\n1418219788\t17.250000\n1418220388\t17.440000\n1418220989\t17.690000\n1418221589\t17.750000\n1418222190\t17.620000\n1418222790\t17.690000\n1418223391\t17.750000\n1418223991\t17.690000\n1418224592\t17.690000\n1418225192\t17.620000\n1418225793\t17.560000\n1418226394\t17.500000\n1418226994\t17.440000\n1418227595\t17.620000\n1418228195\t17.560000\n1418228796\t17.620000\n1418229396\t17.560000\n1418229997\t17.690000\n1418230597\t17.620000\n1418231198\t17.500000\n1418231798\t17.500000\n1418232399\t17.620000\n1418233000\t17.620000\n1418233600\t17.560000\n1418234201\t17.560000\n1418234801\t17.380000\n1418235402\t17.310000\n1418236002\t17.310000\n1418236603\t17.250000\n1418237203\t17.250000\n1418237804\t17.380000\n1418238419\t17.440000\n1418239020\t17.440000\n1418239620\t17.440000\n1418240221\t17.500000\n1418240821\t17.560000\n1418241422\t17.690000\n1418242022\t17.560000\n1418242623\t17.500000\n1418243224\t17.560000\n1418243824\t17.560000\n1418244425\t17.500000\n1418245025\t17.560000\n1418245626\t17.810000\n1418246226\t17.750000\n1418246827\t17.750000\n1418247427\t17.810000\n1418248028\t17.690000\n1418248628\t17.750000\n1418249229\t17.620000\n1418249829\t17.560000\n1418250430\t17.690000\n1418251030\t17.810000\n1418251631\t17.810000\n1418252231\t17.750000\n1418252832\t17.690000\n1418253433\t17.690000\n1418254033\t17.620000\n1418254649\t17.500000\n1418255249\t17.440000\n1418255850\t17.620000\n1418256450\t17.690000\n1418257051\t17.690000\n1418257651\t17.690000\n1418258252\t17.620000\n1418258852\t17.690000\n1418259453\t17.560000\n1418260053\t17.560000\n1418260654\t17.440000\n1418261254\t17.380000\n1418261855\t17.440000\n1418262456\t17.560000\n1418263056\t17.620000\n1418263657\t17.560000\n1418264257\t17.560000\n1418264858\t17.620000\n1418265458\t17.620000\n1418266059\t17.620000\n1418266659\t17.620000\n1418267260\t17.560000\n1418267860\t17.440000\n1418268461\t17.310000\n1418269061\t17.380000\n1418269662\t17.380000\n1418270262\t17.310000\n1418270863\t17.120000\n1418271463\t17.120000\n1418272064\t17.120000\n1418272680\t17.060000\n1418273280\t17.000000\n1418273881\t17.000000\n1418274481\t17.120000\n1418275082\t17.120000\n1418275682\t17.120000\n1418276283\t17.250000\n1418276883\t17.380000\n1418277484\t17.560000\n1418278084\t17.560000\n1418278685\t17.620000\n1418279285\t17.750000\n1418279886\t17.810000\n1418280486\t17.880000\n1418281087\t17.940000\n1418281687\t17.940000\n1418282288\t18.000000\n1418282888\t17.940000\n1418283489\t17.940000\n1418284089\t18.060000\n1418284690\t18.060000\n1418285290\t18.060000\n1418285891\t18.060000\n1418286491\t18.120000\n1418287092\t18.000000\n1418287693\t17.940000\n1418288293\t18.000000\n1418288894\t18.000000\n1418289494\t18.000000\n1418290095\t18.000000\n1418290710\t18.060000\n1418291311\t18.120000\n1418291911\t18.000000\n1418292512\t17.810000\n1418293112\t17.560000\n1418293713\t17.440000\n1418294313\t17.380000\n1418294914\t17.380000\n1418295514\t17.440000\n1418296115\t17.380000\n1418296715\t17.500000\n1418297316\t17.380000\n1418297916\t17.250000\n1418298517\t17.250000\n1418299118\t17.190000\n1418299718\t17.120000\n1418300319\t17.190000\n1418300919\t17.250000\n1418301520\t17.190000\n1418302120\t17.060000\n1418302721\t17.060000\n1418303321\t17.120000\n1418303922\t17.190000\n1418304522\t17.250000\n1418305123\t17.310000\n1418305723\t17.380000\n1418306324\t17.250000\n1418306924\t17.500000\n1418307540\t17.750000\n1418308140\t17.940000\n1418308741\t18.000000\n1418309341\t18.120000\n1418309942\t18.250000\n1418310542\t18.310000\n1418311143\t18.380000\n1418311744\t18.310000\n1418312344\t18.310000\n1418312945\t18.190000\n1418313545\t18.000000\n1418314146\t18.000000\n1418314746\t18.000000\n1418315347\t18.120000\n1418315947\t18.120000\n1418316548\t18.250000\n1418317148\t18.310000\n1418317749\t18.190000\n1418318350\t18.120000\n1418318950\t18.310000\n1418319551\t18.250000\n1418320151\t18.190000\n1418320752\t18.190000\n1418321352\t18.190000\n1418321953\t18.310000\n1418322553\t18.380000\n1418323154\t18.500000\n1418323754\t18.560000\n1418324355\t18.690000\n1418324955\t18.690000\n1418325556\t18.750000\n1418326156\t18.810000\n1418326772\t18.810000\n1418327373\t18.810000\n1418327973\t18.880000\n1418328574\t18.810000\n1418329174\t18.690000\n1418329775\t18.560000\n1418330375\t18.500000\n1418330976\t18.440000\n1418331576\t18.380000\n1418332177\t18.440000\n1418332778\t18.380000\n1418333378\t18.380000\n1418333979\t18.250000\n1418334579\t18.250000\n1418335180\t18.310000\n1418335780\t18.310000\n1418336381\t18.380000\n1418336981\t18.380000\n1418337582\t18.380000\n1418338182\t18.380000\n1418338783\t18.380000\n1418339383\t18.440000\n1418339984\t18.440000\n1418340585\t18.560000\n1418341185\t18.560000\n1418341786\t18.500000\n1418342386\t18.560000\n1418342987\t18.500000\n1418343587\t18.380000\n1418344188\t18.380000\n1418344788\t18.380000\n1418345389\t18.380000\n1418346004\t18.380000\n1418346605\t18.380000\n1418347205\t18.440000\n1418347806\t18.440000\n1418348407\t18.500000\n1418349007\t18.500000\n1418349608\t18.560000\n1418350208\t18.620000\n1418350809\t18.620000\n1418351409\t18.560000\n1418352010\t18.560000\n1418352610\t18.500000\n1418353211\t18.500000\n1418353811\t18.380000\n1418354412\t18.190000\n1418355012\t18.190000\n1418355613\t18.120000\n1418356214\t18.120000\n1418356814\t18.060000\n1418357415\t18.250000\n1418358015\t18.310000\n1418358616\t18.440000\n1418359216\t18.440000\n1418359817\t18.560000\n1418360417\t18.560000\n1418361018\t18.560000\n1418361618\t18.620000\n1418362219\t18.750000\n1418362819\t18.750000\n1418363435\t18.690000\n1418364035\t18.690000\n1418364636\t18.690000\n1418365237\t18.750000\n1418365837\t18.810000\n1418366438\t18.810000\n1418367038\t18.810000\n1418367639\t18.880000\n1418368239\t18.940000\n1418368840\t18.880000\n1418369440\t18.880000\n1418370041\t18.880000\n1418370641\t18.880000\n1418371242\t18.880000\n1418371842\t18.810000\n1418372443\t18.880000\n1418373044\t18.880000\n1418373644\t18.940000\n1418374245\t18.940000\n1418374845\t19.000000\n1418375446\t19.000000\n1418376046\t18.940000\n1418376647\t18.940000\n1418377247\t18.940000\n1418377848\t18.940000\n1418378448\t18.880000\n1418379049\t18.810000\n1418379650\t18.810000\n1418380250\t18.810000\n1418380851\t18.750000\n1418381466\t18.750000\n1418382067\t18.810000\n1418382667\t18.880000\n1418383268\t18.880000\n1418383868\t18.810000\n1418384469\t18.880000\n1418385070\t18.940000\n1418385670\t19.000000\n1418386271\t18.940000\n1418386871\t18.880000\n1418387472\t18.880000\n1418388072\t18.810000\n1418388673\t18.750000\n1418389273\t18.690000\n1418389874\t18.750000\n1418390474\t18.750000\n1418391075\t18.810000\n1418391675\t18.880000\n1418392276\t19.000000\n1418392877\t19.060000\n1418393477\t19.120000\n1418394078\t19.120000\n1418394678\t19.190000\n1418395279\t19.190000\n1418395879\t19.250000\n1418396480\t19.250000\n1418397080\t19.310000\n1418397681\t19.310000\n1418398281\t19.310000\n1418398882\t19.380000\n1418399482\t19.380000\n1418400098\t19.380000\n1418400699\t19.440000\n1418401299\t19.440000\n1418401900\t19.440000\n1418402500\t19.440000\n1418403101\t19.440000\n1418403701\t19.440000\n1418404302\t19.440000\n1418404902\t19.440000\n1418405503\t19.440000\n1418406103\t19.500000\n1418406704\t19.500000\n1418407304\t19.500000\n1418407905\t19.500000\n1418408506\t19.500000\n1418409106\t19.560000\n1418409707\t19.620000\n1418410307\t19.620000\n1418410908\t19.620000\n1418411508\t19.560000\n1418412109\t19.560000\n1418412709\t19.560000\n1418413310\t19.560000\n1418413910\t19.560000\n1418414511\t19.560000\n1418415112\t19.560000\n1418415712\t19.560000\n1418416313\t19.560000\n1418416913\t19.560000\n1418417514\t19.560000\n1418418114\t19.560000\n1418418730\t19.560000\n1418419330\t19.560000\n1418419931\t19.560000\n1418420531\t19.620000\n1418421132\t19.560000\n1418421733\t19.560000\n1418422333\t19.620000\n1418422934\t19.620000\n1418423534\t19.620000\n1418424135\t19.620000\n1418424735\t19.620000\n1418425336\t19.620000\n1418425936\t19.620000\n1418426537\t19.620000\n1418427137\t19.690000\n1418427738\t19.690000\n1418428338\t19.690000\n1418428939\t19.620000\n1418429539\t19.620000\n1418430140\t19.620000\n1418430740\t19.690000\n1418431341\t19.620000\n1418431941\t19.620000\n1418432542\t19.690000\n1418433143\t19.620000\n1418433743\t19.620000\n1418434344\t19.620000\n1418434944\t19.620000\n1418435545\t19.620000\n1418436145\t19.690000\n1418436746\t19.690000\n1418437361\t19.690000\n1418437962\t19.690000\n1418438563\t19.690000\n1418439163\t19.690000\n1418439764\t19.690000\n1418440364\t19.750000\n1418440965\t19.750000\n1418441565\t19.750000\n1418442166\t19.750000\n1418442766\t19.750000\n1418443367\t19.750000\n1418443967\t19.750000\n1418444568\t19.750000\n1418445168\t19.750000\n1418445769\t19.750000\n1418446369\t19.750000\n1418446970\t19.750000\n1418447571\t19.810000\n1418448171\t19.810000\n1418448772\t19.810000\n1418449372\t19.810000\n1418449973\t19.810000\n1418450573\t19.810000\n1418451174\t19.810000\n1418451774\t19.810000\n1418452375\t19.810000\n1418452975\t19.810000\n1418453576\t19.810000\n1418454176\t19.810000\n1418454777\t19.810000\n1418455378\t19.810000\n1418455993\t19.810000\n1418456594\t19.750000\n1418457194\t19.750000\n1418457795\t19.690000\n1418458395\t19.620000\n1418458996\t19.560000\n1418459596\t19.500000\n1418460197\t19.440000\n1418460797\t19.440000\n1418461398\t19.380000\n1418461998\t19.380000\n1418462599\t19.500000\n1418463200\t19.440000\n1418463800\t19.500000\n1418464401\t19.560000\n1418465001\t19.560000\n1418465602\t19.620000\n1418466202\t19.690000\n1418466803\t18.500000\n1418467403\t18.250000\n1418468004\t18.190000\n1418468604\t18.060000\n1418469205\t17.940000\n1418469805\t17.940000\n1418470406\t17.880000\n1418471006\t17.810000\n1418471607\t17.810000\n1418472207\t17.750000\n1418472808\t17.620000\n1418473409\t17.690000\n1418474009\t17.690000\n1418474610\t17.620000\n1418475225\t17.620000\n1418475826\t17.560000\n1418476426\t17.500000\n1418477027\t17.500000\n1418477627\t17.440000\n1418478228\t17.440000\n1418478828\t17.440000\n1418479429\t17.380000\n1418480029\t17.310000\n1418480630\t17.310000\n1418481231\t17.250000\n1418481831\t17.250000\n1418482432\t17.310000\n1418483032\t17.380000\n1418483633\t17.380000\n1418484233\t17.380000\n1418484834\t17.440000\n1418485434\t16.190000\n1418486035\t15.690000\n1418486635\t16.380000\n1418487236\t16.690000\n1418487836\t16.810000\n1418488437\t17.000000\n1418489037\t17.120000\n1418489638\t17.190000\n1418490238\t17.250000\n1418490839\t17.310000\n1418491440\t17.380000\n1418492040\t17.310000\n1418492641\t17.310000\n1418493241\t17.310000\n1418493842\t17.380000\n1418494442\t17.380000\n1418495043\t17.440000\n1418495658\t17.440000\n1418496259\t17.380000\n1418496859\t17.380000\n1418497460\t17.440000\n1418498060\t17.440000\n1418498661\t17.440000\n1418499262\t17.500000\n1418499862\t17.500000\n1418500463\t17.500000\n1418501063\t17.500000\n1418501664\t17.440000\n1418502264\t17.500000\n1418502865\t17.560000\n1418503465\t17.500000\n1418504066\t17.560000\n1418504666\t17.560000\n1418505267\t17.560000\n1418505867\t17.560000\n1418506468\t17.560000\n1418507069\t17.560000\n1418507669\t17.560000\n1418508270\t17.560000\n1418508870\t17.500000\n1418509471\t17.500000\n1418510071\t17.500000\n1418510672\t17.560000\n1418511272\t17.560000\n1418511873\t17.560000\n1418512473\t17.620000\n1418513074\t17.560000\n1418513674\t17.560000\n1418514275\t17.560000\n1418514875\t17.560000\n1418515476\t17.500000\n1418516077\t17.560000\n1418516692\t17.500000\n1418517293\t17.560000\n1418517893\t17.560000\n1418518494\t17.560000\n1418519094\t17.560000\n1418519695\t17.560000\n1418520295\t17.560000\n1418520896\t17.560000\n1418521496\t17.560000\n1418522097\t17.620000\n1418522697\t17.560000\n1418523298\t17.440000\n1418523898\t17.380000\n1418524499\t17.380000\n1418525100\t17.380000\n1418525700\t17.440000\n1418526301\t17.560000\n1418526901\t17.500000\n1418527502\t17.560000\n1418528102\t17.560000\n1418528703\t17.560000\n1418529303\t17.560000\n1418529904\t17.560000\n1418530504\t17.560000\n1418531105\t17.500000\n1418531705\t17.500000\n1418532306\t17.380000\n1418532906\t17.380000\n1418533507\t17.440000\n1418534108\t17.500000\n1418534708\t17.500000\n1418535309\t17.500000\n1418535909\t17.560000\n1418536525\t17.560000\n1418537125\t17.560000\n1418537726\t17.560000\n1418538326\t17.560000\n1418538927\t17.560000\n1418539527\t17.560000\n1418540128\t17.500000\n1418540728\t17.560000\n1418541329\t17.560000\n1418541929\t17.560000\n1418542530\t17.560000\n1418543131\t17.500000\n1418543731\t17.500000\n1418544332\t17.500000\n1418544932\t17.560000\n1418545533\t17.500000\n1418546133\t17.500000\n1418546734\t17.380000\n1418547334\t17.190000\n1418547935\t17.060000\n1418548535\t17.000000\n1418549136\t16.940000\n1418549736\t16.940000\n1418550337\t16.940000\n1418550937\t16.940000\n1418551538\t16.880000\n1418552138\t16.880000\n1418552739\t16.810000\n1418553340\t16.810000\n1418553940\t16.810000\n1418554541\t16.810000\n1418555156\t16.810000\n1418555757\t16.690000\n1418556357\t16.620000\n1418556958\t16.620000\n1418557558\t16.620000\n1418558159\t16.560000\n1418558759\t16.560000\n1418559360\t16.500000\n1418559961\t16.440000\n1418560561\t16.440000\n1418561162\t16.500000\n1418561762\t16.440000\n1418562363\t16.440000\n1418562963\t16.440000\n1418563564\t16.500000\n1418564164\t16.560000\n1418564765\t16.560000\n1418565365\t16.620000\n1418565966\t16.620000\n1418566566\t16.560000\n1418567167\t16.500000\n1418567768\t16.500000\n1418568368\t16.500000\n1418568969\t16.380000\n1418569569\t16.380000\n1418570170\t16.310000\n1418570770\t16.310000\n1418571371\t16.310000\n1418571971\t16.310000\n1418572572\t16.310000\n1418573172\t16.250000\n1418573788\t16.250000\n1418574389\t16.250000\n1418574989\t16.190000\n1418575590\t16.190000\n1418576190\t16.120000\n1418576791\t16.250000\n1418577391\t16.310000\n1418577992\t16.440000\n1418578592\t16.560000\n1418579193\t16.690000\n1418579793\t16.750000\n1418580394\t16.690000\n1418580994\t16.380000\n1418581595\t16.380000\n1418582195\t16.380000\n1418582796\t16.250000\n1418583397\t16.190000\n1418583997\t16.190000\n1418584598\t16.060000\n1418585198\t16.060000\n1418585799\t16.000000\n1418586399\t16.000000\n1418587000\t16.060000\n1418587600\t16.120000\n1418588201\t16.190000\n1418588801\t16.250000\n1418589402\t16.190000\n1418590017\t16.250000\n1418590618\t16.120000\n1418591218\t16.190000\n1418591819\t16.250000\n1418592419\t16.250000\n1418593020\t16.120000\n1418593621\t16.060000\n1418594221\t16.000000\n1418594822\t15.940000\n1418595422\t15.940000\n1418596023\t15.750000\n1418596623\t15.690000\n1418597224\t15.690000\n1418597824\t15.620000\n1418598425\t15.560000\n1418599025\t15.500000\n1418599626\t15.500000\n1418600227\t15.560000\n1418600827\t15.560000\n1418601428\t15.560000\n1418602028\t15.560000\n1418602629\t15.560000\n1418603229\t15.620000\n1418603830\t15.620000\n1418604430\t15.500000\n1418605031\t15.440000\n1418605632\t15.380000\n1418606232\t15.380000\n1418606833\t15.310000\n1418607433\t15.380000\n1418608049\t15.380000\n1418608649\t15.380000\n1418609250\t15.440000\n1418609850\t15.440000\n1418610451\t15.440000\n1418611051\t15.440000\n1418611652\t15.440000\n1418612252\t15.440000\n1418612853\t15.440000\n1418613454\t15.440000\n1418614054\t15.440000\n1418614655\t15.440000\n1418615255\t15.440000\n1418615856\t15.440000\n1418616456\t15.380000\n1418617057\t15.310000\n1418617657\t15.250000\n1418618258\t15.310000\n1418618858\t15.310000\n1418619459\t15.380000\n1418620059\t15.380000\n1418620660\t15.310000\n1418621260\t15.310000\n1418621861\t15.380000\n1418622461\t15.380000\n1418623062\t15.440000\n1418623662\t15.440000\n1418624263\t15.380000\n1418624863\t15.310000\n1418625464\t15.310000\n1418626064\t15.310000\n1418626680\t15.250000\n1418627281\t15.250000\n1418627881\t15.250000\n1418628482\t15.250000\n1418629082\t15.310000\n1418629683\t15.440000\n1418630283\t15.440000\n1418630884\t15.500000\n1418631484\t15.560000\n1418632085\t15.560000\n1418632685\t15.560000\n1418633286\t15.620000\n1418633886\t15.560000\n1418634487\t15.440000\n1418635087\t15.310000\n1418635688\t15.250000\n1418636289\t15.190000\n1418636889\t15.190000\n1418637490\t15.250000\n1418638090\t15.250000\n1418638691\t15.190000\n1418639291\t15.120000\n1418639892\t15.120000\n1418640492\t15.250000\n1418641093\t15.250000\n1418641693\t15.310000\n1418642309\t15.380000\n1418642910\t15.250000\n1418643510\t15.250000\n1418644111\t15.250000\n1418644711\t15.250000\n1418645312\t15.250000\n1418645912\t15.380000\n1418646513\t15.440000\n1418647113\t15.500000\n1418647714\t15.560000\n1418648314\t15.560000\n1418648915\t15.500000\n1418649516\t15.500000\n1418650116\t15.560000\n1418650717\t15.560000\n1418651317\t15.560000\n1418651918\t15.560000\n1418652518\t15.560000\n1418653119\t15.560000\n1418653719\t15.560000\n1418654320\t15.620000\n1418654921\t15.690000\n1418655521\t15.750000\n1418656122\t15.750000\n1418656722\t15.690000\n1418657323\t15.690000\n1418657923\t15.690000\n1418658524\t15.690000\n1418659124\t15.620000\n1418659725\t15.560000\n1418660325\t15.500000\n1418660926\t15.560000\n1418661542\t15.620000\n1418662142\t15.620000\n1418662743\t15.620000\n1418663343\t15.620000\n1418663944\t15.620000\n1418664544\t15.620000\n1418665145\t15.620000\n1418665745\t15.690000\n1418666346\t15.560000\n1418666946\t15.500000\n1418667547\t15.440000\n1418668147\t15.440000\n1418668748\t15.380000\n1418669349\t15.380000\n1418669949\t15.440000\n1418670550\t15.310000\n1418671150\t15.310000\n1418671751\t15.250000\n1418672351\t15.190000\n1418672952\t15.190000\n1418673552\t15.250000\n1418674153\t15.310000\n1418674754\t15.310000\n1418675354\t15.250000\n1418675955\t15.120000\n1418676555\t15.190000\n1418677156\t15.190000\n1418677756\t15.250000\n1418678357\t15.310000\n1418678957\t15.500000\n1418679558\t15.500000\n1418680173\t15.560000\n1418680774\t15.560000\n1418681374\t15.500000\n1418681975\t15.560000\n1418682575\t15.620000\n1418683176\t15.750000\n1418683776\t15.750000\n1418684377\t15.810000\n1418684977\t15.810000\n1418685578\t15.750000\n1418686178\t15.810000\n1418686779\t15.810000\n1418687379\t15.880000\n1418687980\t15.940000\n1418688581\t15.940000\n1418689181\t15.880000\n1418689782\t15.880000\n1418690382\t15.940000\n1418690983\t16.000000\n1418691583\t16.000000\n1418692184\t16.000000\n1418692784\t16.000000\n1418693385\t16.000000\n1418693985\t16.000000\n1418694586\t15.940000\n1418695186\t16.000000\n1418695787\t15.940000\n1418696387\t16.060000\n1418696988\t16.120000\n1418697589\t16.120000\n1418698204\t16.190000\n1418698805\t16.190000\n1418699405\t16.120000\n1418700006\t16.190000\n1418700606\t16.120000\n1418701207\t16.120000\n1418701807\t16.120000\n1418702408\t16.190000\n1418703008\t16.190000\n1418703609\t16.190000\n1418704210\t16.190000\n1418704810\t16.060000\n1418705411\t16.000000\n1418706011\t16.060000\n1418706612\t16.060000\n1418707212\t16.000000\n1418707813\t15.940000\n1418708413\t15.940000\n1418709014\t16.000000\n1418709614\t16.000000\n1418710215\t16.000000\n1418710815\t16.000000\n1418711416\t16.060000\n1418712016\t16.060000\n1418712617\t15.880000\n1418713218\t15.810000\n1418713818\t15.750000\n1418714419\t15.750000\n1418715034\t15.690000\n1418715635\t15.690000\n1418716235\t15.750000\n1418716836\t15.880000\n1418717436\t16.000000\n1418718037\t15.940000\n1418718637\t15.880000\n1418719238\t15.940000\n1418719838\t15.940000\n1418720439\t15.880000\n1418721039\t15.750000\n1418721640\t15.690000\n1418722241\t15.690000\n1418722841\t15.690000\n1418723442\t15.690000\n1418724042\t15.690000\n1418724643\t15.560000\n1418725243\t15.560000\n1418725844\t15.560000\n1418726444\t15.440000\n1418727045\t15.380000\n1418727645\t15.310000\n1418728246\t15.250000\n1418728846\t15.250000\n1418729447\t15.310000\n1418730048\t15.310000\n1418730648\t15.250000\n1418731249\t15.190000\n1418731849\t15.190000\n1418732450\t15.250000\n1418733050\t15.190000\n1418733651\t15.190000\n1418734266\t15.120000\n1418734867\t15.190000\n1418735468\t15.190000\n1418736068\t15.120000\n1418736669\t15.060000\n1418737269\t15.000000\n1418737870\t15.000000\n1418738470\t15.120000\n1418739071\t15.190000\n1418739671\t15.120000\n1418740272\t15.190000\n1418740872\t15.190000\n1418741473\t15.250000\n1418742073\t15.190000\n1418742674\t15.060000\n1418743274\t15.060000\n1418743875\t14.940000\n1418744476\t14.940000\n1418745076\t15.000000\n1418745677\t15.120000\n1418746277\t15.060000\n1418746878\t15.190000\n1418747478\t15.190000\n1418748079\t15.250000\n1418748679\t15.310000\n1418749280\t15.380000\n1418749880\t15.440000\n1418750481\t15.440000\n1418751082\t15.380000\n1418751697\t15.440000\n1418752298\t15.560000\n1418752898\t15.690000\n1418753499\t15.750000\n1418754099\t15.750000\n1418754700\t15.880000\n1418755300\t15.880000\n1418755901\t16.000000\n1418756501\t15.940000\n1418757102\t15.940000\n1418757703\t16.000000\n1418758303\t16.060000\n1418758904\t16.000000\n1418759504\t15.880000\n1418760105\t15.940000\n1418760705\t15.940000\n1418761306\t15.940000\n1418761906\t16.060000\n1418762507\t16.120000\n1418763107\t16.190000\n1418763708\t16.190000\n1418764308\t16.250000\n1418764909\t16.310000\n1418765509\t16.310000\n1418766110\t16.310000\n1418766710\t16.310000\n1418767311\t16.310000\n1418767912\t16.310000\n1418768512\t16.380000\n1418769113\t16.310000\n1418769713\t16.380000\n1418770329\t16.380000\n1418770929\t16.380000\n1418771530\t16.380000\n1418772130\t16.440000\n1418772731\t16.440000\n1418773331\t16.500000\n1418773932\t16.500000\n1418774533\t16.500000\n1418775133\t16.500000\n1418775734\t16.560000\n1418776334\t16.500000\n1418776935\t16.500000\n1418777535\t16.500000\n1418778136\t16.500000\n1418778736\t16.560000\n1418779337\t16.560000\n1418779937\t16.500000\n1418780538\t16.560000\n1418781138\t16.560000\n1418781739\t16.560000\n1418782339\t16.560000\n1418782940\t16.560000\n1418783540\t16.560000\n1418784141\t16.620000\n1418784742\t16.620000\n1418785342\t16.620000\n1418785943\t16.620000\n1418786543\t16.620000\n1418787144\t16.620000\n1418787744\t16.690000\n1418788360\t16.620000\n1418788960\t16.690000\n1418789561\t16.690000\n1418790161\t16.690000\n1418790762\t16.750000\n1418791363\t16.690000\n1418791963\t16.690000\n1418792564\t16.690000\n1418793164\t16.690000\n1418793765\t16.690000\n1418794365\t16.690000\n1418794966\t16.750000\n1418795566\t16.750000\n1418796167\t16.750000\n1418796767\t16.750000\n1418797368\t16.750000\n1418797968\t16.750000\n1418798569\t16.750000\n1418799169\t16.750000\n1418799770\t16.750000\n1418800370\t16.750000\n1418800971\t16.750000\n1418801571\t16.750000\n1418802172\t16.750000\n1418802773\t16.750000\n1418803373\t16.810000\n1418803974\t16.750000\n1418804574\t16.750000\n1418805175\t16.750000\n1418805775\t16.750000\n1418806391\t16.810000\n1418806991\t16.750000\n1418807592\t16.810000\n1418808192\t16.810000\n1418808793\t16.810000\n1418809394\t16.810000\n1418809994\t16.750000\n1418810595\t16.810000\n1418811195\t16.810000\n1418811796\t16.810000\n1418812396\t16.810000\n1418812997\t16.810000\n1418813597\t16.750000\n1418814198\t16.750000\n1418814798\t16.750000\n1418815399\t16.750000\n1418815999\t16.810000\n1418816600\t16.810000\n1418817201\t16.750000\n1418817801\t16.750000\n1418818402\t16.750000\n1418819002\t16.810000\n1418819603\t16.810000\n1418820203\t16.810000\n1418820804\t16.750000\n1418821404\t16.880000\n1418822005\t16.880000\n1418822605\t17.000000\n1418823206\t17.000000\n1418823806\t17.000000\n1418824407\t17.000000\n1418825008\t17.060000\n1418825623\t17.060000\n1418826224\t16.880000\n1418826824\t16.620000\n1418827425\t16.810000\n1418828025\t16.880000\n1418828626\t16.880000\n1418829226\t16.940000\n1418829827\t16.940000\n1418830427\t16.940000\n1418831028\t16.880000\n1418831628\t16.940000\n1418832229\t16.940000\n1418832830\t16.880000\n1418833430\t16.880000\n1418834031\t16.880000\n1418834631\t16.880000\n1418835232\t16.880000\n1418835832\t16.810000\n1418836433\t16.810000\n1418837033\t16.880000\n1418837634\t16.810000\n1418838234\t16.810000\n1418838835\t16.810000\n1418839435\t16.810000\n1418840036\t16.810000\n1418840636\t16.810000\n1418841237\t16.880000\n1418841838\t16.880000\n1418842438\t16.880000\n1418843039\t16.880000\n1418843639\t16.810000\n1418844255\t16.810000\n1418844855\t16.810000\n1418845456\t16.810000\n1418846056\t16.810000\n1418846657\t16.810000\n1418847257\t16.810000\n1418847858\t16.750000\n1418848458\t16.750000\n1418849059\t16.750000\n1418849660\t16.810000\n1418850260\t16.750000\n1418850861\t16.810000\n1418851461\t16.810000\n1418852062\t16.750000\n1418852662\t16.750000\n1418853263\t16.750000\n1418853863\t16.750000\n1418854464\t16.750000\n1418855064\t16.810000\n1418855665\t16.810000\n1418856265\t16.810000\n1418856866\t16.750000\n1418857467\t16.750000\n1418858067\t16.750000\n1418858668\t16.810000\n1418859268\t16.810000\n1418859869\t16.810000\n1418860469\t16.750000\n1418861070\t16.810000\n1418861685\t16.750000\n1418862286\t16.750000\n1418862886\t16.750000\n1418863487\t16.750000\n1418864087\t16.750000\n1418864688\t16.750000\n1418865289\t16.750000\n1418865889\t16.750000\n1418866490\t16.750000\n1418867090\t16.750000\n1418867691\t16.750000\n1418868291\t16.690000\n1418868892\t16.690000\n1418869492\t16.690000\n1418870093\t16.690000\n1418870693\t16.690000\n1418871294\t16.690000\n1418871894\t16.620000\n1418872495\t16.560000\n1418873096\t16.500000\n1418873696\t16.440000\n1418874297\t16.310000\n1418874897\t16.380000\n1418875498\t16.380000\n1418876098\t16.380000\n1418876699\t16.380000\n1418877314\t16.250000\n1418877915\t16.250000\n1418878515\t16.250000\n1418879116\t16.250000\n1418879717\t16.310000\n1418880317\t16.250000\n1418880918\t16.190000\n1418881518\t16.120000\n1418882119\t16.060000\n1418882719\t16.000000\n1418883320\t15.940000\n1418883920\t16.060000\n1418884521\t16.120000\n1418885122\t16.120000\n1418885722\t16.250000\n1418886323\t16.250000\n1418886923\t16.310000\n1418887524\t16.310000\n1418888124\t16.310000\n1418888725\t16.380000\n1418889325\t16.310000\n1418889926\t16.120000\n1418890526\t16.120000\n1418891127\t16.120000\n1418891727\t16.060000\n1418892328\t16.120000\n1418892928\t16.190000\n1418893529\t16.060000\n1418894129\t16.060000\n1418894730\t15.940000\n1418895331\t15.940000\n1418895931\t15.940000\n1418896532\t15.940000\n1418897132\t15.940000\n1418897733\t15.940000\n1418898333\t15.940000\n1418898949\t15.940000\n1418899549\t15.880000\n1418900150\t15.880000\n1418900750\t15.880000\n1418901351\t15.810000\n1418901951\t15.810000\n1418902552\t15.880000\n1418903153\t15.940000\n1418903753\t16.060000\n1418904354\t16.120000\n1418904954\t16.190000\n1418905555\t16.060000\n1418906155\t15.940000\n1418906756\t15.880000\n1418907356\t15.940000\n1418907957\t16.000000\n1418908557\t16.060000\n1418909158\t16.060000\n1418909759\t16.060000\n1418910359\t16.060000\n1418910960\t16.060000\n1418911560\t16.120000\n1418912161\t16.190000\n1418912761\t16.310000\n1418913362\t16.380000\n1418913962\t16.440000\n1418914563\t16.380000\n1418915163\t16.380000\n1418915764\t16.380000\n1418916364\t16.380000\n1418916965\t16.440000\n1418917565\t16.560000\n1418918166\t16.620000\n1418918767\t16.620000\n1418919382\t16.620000\n1418919983\t16.620000\n1418920583\t16.620000\n1418921184\t16.690000\n1418921784\t16.690000\n1418922385\t16.750000\n1418922985\t16.810000\n1418923586\t16.810000\n1418924186\t16.880000\n1418924787\t16.880000\n1418925387\t16.810000\n1418925988\t16.880000\n1418926589\t16.880000\n1418927189\t16.880000\n1418927790\t16.880000\n1418928390\t16.880000\n1418928991\t16.940000\n1418929591\t16.880000\n1418930192\t16.880000\n1418930792\t16.810000\n1418931393\t16.750000\n1418931993\t16.750000\n1418932594\t16.620000\n1418933194\t16.690000\n1418933795\t16.750000\n1418934395\t16.750000\n1418934996\t16.810000\n1418935596\t16.880000\n1418936197\t16.880000\n1418936797\t16.750000\n1418937398\t16.750000\n1418938014\t16.750000\n1418938614\t16.810000\n1418939215\t16.750000\n1418939815\t16.880000\n1418940416\t16.880000\n1418941016\t17.000000\n1418941617\t17.000000\n1418942217\t17.060000\n1418942818\t17.060000\n1418943418\t17.060000\n1418944019\t17.120000\n1418944620\t17.120000\n1418945220\t17.120000\n1418945821\t17.190000\n1418946421\t17.120000\n1418947022\t17.190000\n1418947622\t17.190000\n1418948223\t17.190000\n1418948823\t17.190000\n1418949424\t17.250000\n1418950024\t17.250000\n1418950625\t17.250000\n1418951225\t17.250000\n1418951826\t17.250000\n1418952427\t17.310000\n1418953027\t17.310000\n1418953628\t17.310000\n1418954228\t17.310000\n1418954829\t17.310000\n1418955429\t17.380000\n1418956045\t17.380000\n1418956645\t17.380000\n1418957246\t17.440000\n1418957846\t17.380000\n1418958447\t17.380000\n1418959047\t17.440000\n1418959648\t17.380000\n1418960248\t17.440000\n1418960849\t17.440000\n1418961449\t17.440000\n1418962050\t17.440000\n1418962650\t17.440000\n1418963251\t17.440000\n1418963852\t17.500000\n1418964452\t17.310000\n1418965053\t17.380000\n1418965653\t17.250000\n1418966254\t17.250000\n1418966854\t17.060000\n1418967455\t16.940000\n1418968055\t16.880000\n1418968656\t16.880000\n1418969256\t16.880000\n1418969857\t16.810000\n1418970457\t16.810000\n1418971058\t16.810000\n1418971659\t16.810000\n1418972259\t16.880000\n1418972860\t16.880000\n1418973460\t16.880000\n1418974061\t16.880000\n1418974676\t16.880000\n1418975277\t16.880000\n1418975877\t16.880000\n1418976478\t16.880000\n1418977078\t16.810000\n1418977679\t16.810000\n1418978279\t16.690000\n1418978880\t16.690000\n1418979481\t16.690000\n1418980081\t16.620000\n1418980682\t16.620000\n1418981282\t16.690000\n1418981883\t16.690000\n1418982483\t16.690000\n1418983084\t16.620000\n1418983684\t16.620000\n1418984285\t16.620000\n1418984885\t16.620000\n1418985486\t16.620000\n1418986086\t16.620000\n1418986687\t16.560000\n1418987287\t16.500000\n1418987888\t16.500000\n1418988489\t16.560000\n1418989089\t16.560000\n1418989690\t16.560000\n1418990290\t16.560000\n1418990891\t16.500000\n1418991491\t16.560000\n1418992107\t16.560000\n1418992707\t16.560000\n1418993308\t16.500000\n1418993909\t16.560000\n1418994509\t16.620000\n1418995110\t16.750000\n1418995710\t16.750000\n1418996311\t16.690000\n1418996911\t16.690000\n1418997512\t16.690000\n1418998112\t16.690000\n1418998713\t16.810000\n1418999313\t16.810000\n1418999914\t16.810000\n1419000514\t16.750000\n1419001115\t16.690000\n1419001715\t16.690000\n1419002316\t16.690000\n1419002916\t16.620000\n1419003517\t16.690000\n1419004118\t16.560000\n1419004718\t16.500000\n1419005319\t16.500000\n1419005919\t16.440000\n1419006520\t16.500000\n1419007120\t16.500000\n1419007721\t16.500000\n1419008321\t16.440000\n1419008922\t16.380000\n1419009522\t16.380000\n1419010123\t16.440000\n1419010738\t16.440000\n1419011339\t16.500000\n1419011940\t16.500000\n1419012540\t16.440000\n1419013141\t16.500000\n1419013741\t16.500000\n1419014342\t16.440000\n1419014942\t16.380000\n1419015543\t16.440000\n1419016143\t16.440000\n1419016744\t16.440000\n1419017344\t16.380000\n1419017945\t16.380000\n1419018545\t16.380000\n1419019146\t16.440000\n1419019747\t16.500000\n1419020347\t16.560000\n1419020948\t16.560000\n1419021548\t16.500000\n1419022149\t16.560000\n1419022749\t16.500000\n1419023350\t16.620000\n1419023950\t16.810000\n1419024551\t16.880000\n1419025151\t16.880000\n1419025752\t16.880000\n1419026352\t16.880000\n1419026953\t16.880000\n1419027554\t16.940000\n1419028154\t16.880000\n1419028770\t16.940000\n1419029370\t16.810000\n1419029971\t16.810000\n1419030571\t16.810000\n1419031172\t16.810000\n1419031772\t16.750000\n1419032373\t16.690000\n1419032973\t16.690000\n1419033574\t16.750000\n1419034175\t16.880000\n1419034775\t16.880000\n1419035376\t16.810000\n1419035976\t16.750000\n1419036577\t16.690000\n1419037177\t16.620000\n1419037778\t16.690000\n1419038378\t16.690000\n1419038979\t16.750000\n1419039579\t16.690000\n1419040180\t16.750000\n1419040780\t16.690000\n1419041381\t16.620000\n1419041981\t16.620000\n1419042582\t16.560000\n1419043182\t16.620000\n1419043783\t16.750000\n1419044384\t16.880000\n1419044984\t16.880000\n1419045585\t16.880000\n1419046200\t16.880000\n1419046801\t16.880000\n1419047401\t17.000000\n1419048002\t17.060000\n1419048602\t17.120000\n1419049203\t17.250000\n1419049803\t17.190000\n1419050404\t17.190000\n1419051005\t17.250000\n1419051605\t17.310000\n1419052206\t17.380000\n1419052806\t17.310000\n1419053407\t17.250000\n1419054007\t17.250000\n1419054608\t17.310000\n1419055208\t17.310000\n1419055809\t17.250000\n1419056409\t17.310000\n1419057010\t17.380000\n1419057611\t17.440000\n1419058211\t17.440000\n1419058812\t17.440000\n1419059412\t17.500000\n1419060013\t17.500000\n1419060613\t17.500000\n1419061214\t17.500000\n1419061814\t17.500000\n1419062415\t17.560000\n1419063016\t17.500000\n1419063631\t17.500000\n1419064232\t17.560000\n1419064832\t17.560000\n1419065433\t17.560000\n1419066033\t17.560000\n1419066634\t17.560000\n1419067234\t17.560000\n1419067835\t17.560000\n1419068435\t17.560000\n1419069036\t17.560000\n1419069636\t17.560000\n1419070237\t17.560000\n1419070837\t17.620000\n1419071438\t17.620000\n1419072039\t17.620000\n1419072639\t17.620000\n1419073240\t17.620000\n1419073840\t17.690000\n1419074441\t17.620000\n1419075041\t17.620000\n1419075642\t17.620000\n1419076242\t17.690000\n1419076843\t17.620000\n1419077443\t17.620000\n1419078044\t17.690000\n1419078644\t17.620000\n1419079245\t17.620000\n1419079845\t17.690000\n1419080446\t17.690000\n1419081047\t17.690000\n1419081647\t17.690000\n1419082263\t17.750000\n1419082863\t17.690000\n1419083464\t17.690000\n1419084064\t17.750000\n1419084665\t17.690000\n1419085265\t17.690000\n1419085866\t17.750000\n1419086466\t17.690000\n1419087067\t17.750000\n1419087667\t17.690000\n1419088268\t17.690000\n1419088868\t17.690000\n1419089469\t17.690000\n1419090069\t17.690000\n1419090670\t17.690000\n1419091270\t17.690000\n1419091871\t17.690000\n1419092471\t17.690000\n1419093072\t17.690000\n1419093672\t17.690000\n1419094273\t17.690000\n1419094874\t17.690000\n1419095474\t17.690000\n1419096075\t17.690000\n1419096675\t17.690000\n1419097276\t17.690000\n1419097891\t17.690000\n1419098492\t17.190000\n1419099092\t17.310000\n1419099693\t17.440000\n1419100293\t17.500000\n1419100894\t17.500000\n1419101495\t17.560000\n1419102095\t17.560000\n1419102696\t17.560000\n1419103296\t17.560000\n1419103897\t17.560000\n1419104497\t17.560000\n1419105098\t17.560000\n1419105698\t17.560000\n1419106299\t17.560000\n1419106899\t17.560000\n1419107500\t17.620000\n1419108100\t17.560000\n1419108701\t17.560000\n1419109301\t17.560000\n1419109902\t17.560000\n1419110503\t17.560000\n1419111103\t17.560000\n1419111704\t17.560000\n1419112304\t17.500000\n1419112905\t17.500000\n1419113505\t17.560000\n1419114106\t17.500000\n1419114706\t17.500000\n1419115322\t17.500000\n1419115922\t17.560000\n1419116523\t17.500000\n1419117123\t17.500000\n1419117724\t17.500000\n1419118325\t17.500000\n1419118925\t17.500000\n1419119526\t17.500000\n1419120126\t17.500000\n1419120727\t17.440000\n1419121327\t17.440000\n1419121928\t17.440000\n1419122528\t17.440000\n1419123129\t17.440000\n1419123729\t17.440000\n1419124330\t17.440000\n1419124930\t17.440000\n1419125531\t17.440000\n1419126131\t17.440000\n1419126732\t17.440000\n1419127333\t17.440000\n1419127933\t17.440000\n1419128534\t17.440000\n1419129134\t17.440000\n1419129735\t17.380000\n1419130335\t17.440000\n1419130936\t17.440000\n1419131536\t17.380000\n1419132152\t17.380000\n1419132752\t17.380000\n1419133353\t17.380000\n1419133953\t17.380000\n1419134554\t17.380000\n1419135154\t17.380000\n1419135755\t17.380000\n1419136356\t17.380000\n1419136956\t17.380000\n1419137557\t17.310000\n1419138157\t17.380000\n1419138758\t17.310000\n1419139358\t17.310000\n1419139959\t17.380000\n1419140559\t17.310000\n1419141160\t17.250000\n1419141760\t17.250000\n1419142361\t17.250000\n1419142961\t17.250000\n1419143562\t17.310000\n1419144162\t17.250000\n1419144763\t17.250000\n1419145364\t17.250000\n1419145964\t17.250000\n1419146565\t17.190000\n1419147165\t17.190000\n1419147766\t17.190000\n1419148366\t17.190000\n1419148967\t17.190000\n1419149567\t17.190000\n1419150183\t17.190000\n1419150783\t17.190000\n1419151384\t17.120000\n1419151985\t17.120000\n1419152585\t17.060000\n1419153186\t17.120000\n1419153786\t17.120000\n1419154387\t17.120000\n1419154987\t17.120000\n1419155588\t17.060000\n1419156188\t17.120000\n1419156789\t17.120000\n1419157389\t17.120000\n1419157990\t17.120000\n1419158590\t17.120000\n1419159191\t17.120000\n1419159792\t17.190000\n1419160392\t17.120000\n1419160993\t17.120000\n1419161593\t17.000000\n1419162194\t16.940000\n1419162794\t16.940000\n1419163395\t17.000000\n1419163995\t17.000000\n1419164596\t17.060000\n1419165196\t17.060000\n1419165797\t17.060000\n1419166397\t17.060000\n1419166998\t17.000000\n1419167599\t17.000000\n1419168214\t17.000000\n1419168815\t17.000000\n1419169415\t17.060000\n1419170016\t17.060000\n1419170616\t17.060000\n1419171217\t17.060000\n1419171817\t17.060000\n1419172418\t17.120000\n1419173018\t17.060000\n1419173619\t17.060000\n1419174220\t17.060000\n1419174820\t17.060000\n1419175421\t17.060000\n1419176021\t17.060000\n1419176622\t17.060000\n1419177222\t17.060000\n1419177823\t17.060000\n1419178423\t17.060000\n1419179024\t17.060000\n1419179624\t17.060000\n1419180225\t17.060000\n1419180825\t17.060000\n1419181426\t16.440000\n1419182027\t16.690000\n1419182627\t16.750000\n1419183228\t16.880000\n1419183828\t16.880000\n1419184429\t16.880000\n1419185029\t16.940000\n1419185630\t16.940000\n1419186230\t16.190000\n1419186831\t16.500000\n1419187446\t16.620000\n1419188047\t16.690000\n1419188648\t16.750000\n1419189248\t16.810000\n1419189849\t16.810000\n1419190449\t16.880000\n1419191050\t16.880000\n1419191650\t16.880000\n1419192251\t16.880000\n1419192851\t16.880000\n1419193452\t16.880000\n1419194052\t16.880000\n1419194653\t16.940000\n1419195253\t16.880000\n1419195854\t16.940000\n1419196455\t16.940000\n1419197055\t16.940000\n1419197656\t16.940000\n1419198256\t16.940000\n1419198857\t16.940000\n1419199457\t16.940000\n1419200058\t16.940000\n1419200658\t16.880000\n1419201259\t16.940000\n1419201859\t16.940000\n1419202460\t16.940000\n1419203060\t16.940000\n1419203661\t16.940000\n1419204261\t17.000000\n1419204862\t17.000000\n1419205478\t16.940000\n1419206078\t17.000000\n1419206679\t17.000000\n1419207279\t17.000000\n1419207880\t17.000000\n1419208480\t17.000000\n1419209081\t17.000000\n1419209681\t17.060000\n1419210282\t17.000000\n1419210882\t17.060000\n1419211483\t17.000000\n1419212084\t17.060000\n1419212684\t17.060000\n1419213285\t17.060000\n1419213885\t17.060000\n1419214485\t17.060000\n1419215086\t17.060000\n1419215686\t17.060000\n1419216287\t17.060000\n1419216888\t17.060000\n1419217488\t17.060000\n1419218089\t17.120000\n1419218689\t17.120000\n1419219290\t17.120000\n1419219890\t17.120000\n1419220491\t17.120000\n1419221091\t17.060000\n1419221692\t17.120000\n1419222293\t17.120000\n1419222893\t17.120000\n1419223494\t17.120000\n1419224109\t17.120000\n1419224710\t17.120000\n1419225310\t17.120000\n1419225911\t17.120000\n1419226511\t17.120000\n1419227112\t17.120000\n1419227712\t17.120000\n1419228313\t17.120000\n1419228914\t17.120000\n1419229514\t17.120000\n1419230115\t17.190000\n1419230715\t17.120000\n1419231316\t17.120000\n1419231916\t17.190000\n1419232517\t17.120000\n1419233117\t17.120000\n1419233718\t17.120000\n1419234318\t17.120000\n1419234919\t17.120000\n1419235519\t17.190000\n1419236120\t17.120000\n1419236721\t17.120000\n1419237321\t17.120000\n1419237922\t17.190000\n1419238522\t17.120000\n1419239123\t17.120000\n1419239723\t17.120000\n1419240324\t17.190000\n1419240924\t17.190000\n1419241525\t17.190000\n1419242125\t17.120000\n1419242741\t16.940000\n1419243341\t16.880000\n1419243942\t17.000000\n1419244543\t17.060000\n1419245143\t17.060000\n1419245744\t17.060000\n1419246344\t17.120000\n1419246945\t17.120000\n1419247545\t17.060000\n1419248146\t17.120000\n1419248746\t17.120000\n1419249347\t17.060000\n1419249947\t17.060000\n1419250548\t17.000000\n1419251149\t17.060000\n1419251749\t17.120000\n1419252350\t17.120000\n1419252950\t17.120000\n1419253551\t17.190000\n1419254151\t17.190000\n1419254752\t17.120000\n1419255352\t17.000000\n1419255953\t17.000000\n1419256553\t17.000000\n1419257154\t17.120000\n1419257755\t17.190000\n1419258355\t17.190000\n1419258955\t17.250000\n1419259556\t17.250000\n1419260157\t17.250000\n1419260757\t17.250000\n1419261373\t17.310000\n1419261973\t17.310000\n1419262574\t17.310000\n1419263174\t17.310000\n1419263775\t17.310000\n1419264375\t17.310000\n1419264976\t17.250000\n1419265576\t17.190000\n1419266177\t17.190000\n1419266777\t17.060000\n1419267378\t17.190000\n1419267978\t17.250000\n1419268579\t17.250000\n1419269180\t17.310000\n1419269780\t17.310000\n1419270381\t17.310000\n1419270981\t16.810000\n1419271582\t16.940000\n1419272182\t16.620000\n1419272783\t16.750000\n1419273383\t16.940000\n1419273984\t17.060000\n1419274584\t17.120000\n1419275185\t17.120000\n1419275785\t17.190000\n1419276386\t17.120000\n1419276986\t17.190000\n1419277587\t17.190000\n1419278187\t17.190000\n1419278788\t17.190000\n1419279404\t17.120000\n1419280004\t17.120000\n1419280605\t17.190000\n1419281205\t17.190000\n1419281806\t17.190000\n1419282406\t17.190000\n1419283007\t17.190000\n1419283607\t17.190000\n1419284208\t17.190000\n1419284808\t17.190000\n1419285409\t17.190000\n1419286009\t17.190000\n1419286610\t17.190000\n1419287211\t17.190000\n1419287811\t17.190000\n1419288412\t17.190000\n1419289012\t17.190000\n1419289613\t17.190000\n1419290213\t17.190000\n1419290814\t17.190000\n1419291414\t17.190000\n1419292015\t17.190000\n1419292615\t17.190000\n1419293216\t17.190000\n1419293816\t17.250000\n1419294417\t17.250000\n1419295018\t17.250000\n1419295618\t17.250000\n1419296219\t17.250000\n1419296819\t17.250000\n1419297420\t17.190000\n1419298020\t17.120000\n1419298621\t17.190000\n1419299221\t17.120000\n1419299822\t17.060000\n1419300437\t17.000000\n1419301038\t16.940000\n1419301638\t17.000000\n1419302239\t17.000000\n1419302839\t16.940000\n1419303440\t17.000000\n1419304041\t17.060000\n1419304641\t17.000000\n1419305242\t17.000000\n1419305842\t17.060000\n1419306443\t17.060000\n1419307043\t17.000000\n1419307644\t17.000000\n1419308244\t17.000000\n1419308845\t17.060000\n1419309445\t17.000000\n1419310046\t17.000000\n1419310646\t17.120000\n1419311247\t17.190000\n1419311847\t17.120000\n1419312448\t17.120000\n1419313048\t17.060000\n1419313649\t17.060000\n1419314250\t17.060000\n1419314850\t17.120000\n1419315451\t17.060000\n1419316051\t17.190000\n1419316652\t17.120000\n1419317252\t17.060000\n1419317853\t17.120000\n1419318453\t17.120000\n1419319054\t17.190000\n1419319655\t17.190000\n1419320255\t17.190000\n1419320856\t17.250000\n1419321471\t17.250000\n1419322072\t17.190000\n1419322672\t17.250000\n1419323273\t17.190000\n1419323873\t17.250000\n1419324474\t17.250000\n1419325074\t17.250000\n1419325675\t17.120000\n1419326276\t17.120000\n1419326876\t17.120000\n1419327477\t17.120000\n1419328077\t17.060000\n1419328678\t17.060000\n1419329278\t17.060000\n1419329879\t17.190000\n1419330479\t17.250000\n1419331080\t17.250000\n1419331681\t17.190000\n1419332281\t17.250000\n1419332882\t17.250000\n1419333482\t17.250000\n1419334083\t17.310000\n1419334683\t17.310000\n1419335284\t17.310000\n1419335884\t17.310000\n1419336485\t17.310000\n1419337086\t17.310000\n1419337686\t17.190000\n1419338287\t17.120000\n1419338887\t17.120000\n1419339488\t17.120000\n1419340088\t17.060000\n1419340689\t17.190000\n1419341289\t17.310000\n1419341905\t17.380000\n1419342506\t17.440000\n1419343106\t17.440000\n1419343707\t17.440000\n1419344307\t17.440000\n1419344908\t17.440000\n1419345508\t17.500000\n1419346109\t17.440000\n1419346709\t17.500000\n1419347310\t17.500000\n1419347910\t17.500000\n1419348511\t17.440000\n1419349112\t17.310000\n1419349712\t17.380000\n1419350313\t17.440000\n1419350913\t17.440000\n1419351514\t17.500000\n1419352114\t17.440000\n1419352715\t17.440000\n1419353315\t17.310000\n1419353916\t17.380000\n1419354517\t17.380000\n1419355117\t17.440000\n1419355718\t17.500000\n1419356318\t17.440000\n1419356919\t17.440000\n1419357519\t17.380000\n1419358120\t17.380000\n1419358720\t17.380000\n1419359321\t17.500000\n1419359922\t17.500000\n1419360537\t17.500000\n1419361138\t17.500000\n1419361738\t17.500000\n1419362339\t17.500000\n1419362939\t17.500000\n1419363540\t17.500000\n1419364140\t17.560000\n1419364741\t17.500000\n1419365341\t17.500000\n1419365942\t17.500000\n1419366543\t17.500000\n1419367143\t17.500000\n1419367744\t17.560000\n1419368344\t17.500000\n1419368945\t17.560000\n1419369545\t17.560000\n1419370146\t17.560000\n1419370746\t17.560000\n1419371347\t17.560000\n1419371947\t17.560000\n1419372548\t17.560000\n1419373149\t17.560000\n1419373749\t17.560000\n1419374350\t17.560000\n1419374950\t17.500000\n1419375551\t17.560000\n1419376151\t17.560000\n1419376752\t17.560000\n1419377352\t17.560000\n1419377968\t17.560000\n1419378568\t17.560000\n1419379169\t17.560000\n1419379769\t17.560000\n1419380370\t17.560000\n1419380971\t17.560000\n1419381571\t17.560000\n1419382172\t17.560000\n1419382772\t17.560000\n1419383373\t17.560000\n1419383973\t17.560000\n1419384574\t17.560000\n1419385174\t17.560000\n1419385775\t17.560000\n1419386376\t17.560000\n1419386976\t17.560000\n1419387577\t17.560000\n1419388177\t17.500000\n1419388778\t17.500000\n1419389378\t17.500000\n1419389979\t17.500000\n1419390579\t17.500000\n1419391180\t17.500000\n1419391780\t17.500000\n1419392381\t17.500000\n1419392981\t17.500000\n1419393582\t17.500000\n1419394183\t17.500000\n1419394783\t17.500000\n1419395384\t17.500000\n1419395999\t17.500000\n1419396600\t17.500000\n1419397200\t17.500000\n1419397801\t17.500000\n1419398401\t17.500000\n1419399002\t17.500000\n1419399603\t17.500000\n1419400203\t17.500000\n1419400804\t17.500000\n1419401404\t17.500000\n1419402005\t17.500000\n1419402605\t17.500000\n1419403206\t17.500000\n1419403806\t17.440000\n1419404407\t17.440000\n1419405007\t17.440000\n1419405608\t17.440000\n1419406209\t17.380000\n1419406809\t17.440000\n1419407410\t17.380000\n1419408010\t17.380000\n1419408611\t17.380000\n1419409211\t17.380000\n1419409812\t17.380000\n1419410413\t17.380000\n1419411013\t17.310000\n1419411614\t17.310000\n1419412214\t17.380000\n1419412815\t17.310000\n1419413415\t17.310000\n1419414016\t17.310000\n1419414616\t17.310000\n1419415232\t17.310000\n1419415833\t17.310000\n1419416433\t17.310000\n1419417034\t17.310000\n1419417634\t17.310000\n1419418235\t17.250000\n1419418835\t17.250000\n1419419436\t17.310000\n1419420036\t17.250000\n1419420637\t17.190000\n1419421238\t17.190000\n1419421838\t17.190000\n1419422439\t17.190000\n1419423039\t17.190000\n1419423640\t17.190000\n1419424240\t17.190000\n1419424841\t17.120000\n1419425441\t17.120000\n1419426042\t17.190000\n1419426643\t17.120000\n1419427243\t17.120000\n1419427844\t17.120000\n1419428444\t17.120000\n1419429045\t17.120000\n1419429645\t17.120000\n1419430246\t17.060000\n1419430846\t17.060000\n1419431447\t17.060000\n1419432047\t17.000000\n1419432648\t17.000000\n1419433249\t17.000000\n1419433849\t17.000000\n1419434465\t17.000000\n1419435065\t16.940000\n1419435666\t16.940000\n1419436266\t16.940000\n1419436867\t16.940000\n1419437467\t16.880000\n1419438068\t16.880000\n1419438668\t16.810000\n1419439269\t16.810000\n1419439869\t16.750000\n1419440470\t16.750000\n1419441071\t16.750000\n1419441671\t16.690000\n1419442272\t16.690000\n1419442872\t16.560000\n1419443473\t16.500000\n1419444073\t16.500000\n1419444674\t16.500000\n1419445274\t16.440000\n1419445875\t16.440000\n1419446475\t16.440000\n1419447076\t16.500000\n1419447677\t16.440000\n1419448277\t16.440000\n1419448878\t16.310000\n1419449478\t16.310000\n1419450079\t16.380000\n1419450679\t16.380000\n1419451280\t16.310000\n1419451880\t16.380000\n1419452496\t16.380000\n1419453097\t16.380000\n1419453697\t16.310000\n1419454298\t16.380000\n1419454898\t16.310000\n1419455499\t16.310000\n1419456099\t16.310000\n1419456700\t16.250000\n1419457300\t16.250000\n1419457901\t16.250000\n1419458502\t16.310000\n1419459102\t16.310000\n1419459703\t16.310000\n1419460303\t16.250000\n1419460904\t16.250000\n1419461504\t16.250000\n1419462105\t16.310000\n1419462705\t16.250000\n1419463306\t16.310000\n1419463907\t16.310000\n1419464507\t16.250000\n1419465108\t16.250000\n1419465708\t16.250000\n1419466309\t16.250000\n1419466909\t16.250000\n1419467510\t16.250000\n1419468110\t16.190000\n1419468711\t16.190000\n1419469311\t16.190000\n1419469912\t16.190000\n1419470528\t16.190000\n1419471128\t16.250000\n1419471729\t16.190000\n1419472329\t16.190000\n1419472930\t16.120000\n1419473530\t16.190000\n1419474131\t16.190000\n1419474731\t16.120000\n1419475332\t16.120000\n1419475933\t16.120000\n1419476533\t16.120000\n1419477134\t16.120000\n1419477734\t16.120000\n1419478335\t16.120000\n1419478935\t16.120000\n1419479536\t16.120000\n1419480136\t16.120000\n1419480737\t16.060000\n1419481337\t16.120000\n1419481938\t16.060000\n1419482539\t16.060000\n1419483139\t16.060000\n1419483740\t16.120000\n1419484340\t16.060000\n1419484941\t16.000000\n1419485541\t16.060000\n1419486142\t16.000000\n1419486742\t16.000000\n1419487343\t16.000000\n1419487944\t16.000000\n1419488544\t16.000000\n1419489145\t15.940000\n1419489745\t15.940000\n1419490361\t15.940000\n1419490961\t15.940000\n1419491562\t15.880000\n1419492162\t15.880000\n1419492763\t15.880000\n1419493364\t15.880000\n1419493964\t15.810000\n1419494565\t15.810000\n1419495165\t15.750000\n1419495766\t15.810000\n1419496366\t15.810000\n1419496967\t15.750000\n1419497568\t15.750000\n1419498168\t15.690000\n1419498769\t15.750000\n1419499369\t15.690000\n1419499970\t15.690000\n1419500570\t15.620000\n1419501171\t15.620000\n1419501771\t15.620000\n1419502372\t15.620000\n1419502972\t15.560000\n1419503573\t15.560000\n1419504173\t15.560000\n1419504774\t15.560000\n1419505374\t15.560000\n1419505975\t15.500000\n1419506575\t15.500000\n1419507176\t15.500000\n1419507777\t15.500000\n1419508377\t15.500000\n1419508993\t15.500000\n1419509593\t15.500000\n1419510194\t15.500000\n1419510794\t15.500000\n1419511395\t15.440000\n1419511995\t15.440000\n1419512596\t15.440000\n1419513196\t15.440000\n1419513797\t15.440000\n1419514398\t15.440000\n1419514998\t15.440000\n1419515599\t15.380000\n1419516199\t15.380000\n1419516800\t15.380000\n1419517400\t15.380000\n1419518001\t15.380000\n1419518601\t15.310000\n1419519202\t15.380000\n1419519802\t15.310000\n1419520403\t15.310000\n1419521004\t15.310000\n1419521604\t15.310000\n1419522205\t15.310000\n1419522805\t15.250000\n1419523406\t15.250000\n1419524006\t15.250000\n1419524607\t15.250000\n1419525207\t15.250000\n1419525808\t15.190000\n1419526408\t15.190000\n1419527009\t15.190000\n1419527625\t15.190000\n1419528225\t15.120000\n1419528826\t15.190000\n1419529426\t15.120000\n1419530027\t15.120000\n1419530627\t15.120000\n1419531228\t15.060000\n1419531828\t15.060000\n1419532429\t15.060000\n1419533029\t15.000000\n1419533630\t15.000000\n1419534231\t15.000000\n1419534831\t15.000000\n1419535432\t15.000000\n1419536032\t14.940000\n1419536633\t14.940000\n1419537233\t14.880000\n1419537834\t14.810000\n1419538434\t14.750000\n1419539035\t14.750000\n1419539636\t14.750000\n1419540236\t14.810000\n1419540837\t14.750000\n1419541437\t14.750000\n1419542038\t14.750000\n1419542638\t14.750000\n1419543239\t14.750000\n1419543839\t14.750000\n1419544440\t14.690000\n1419545040\t14.620000\n1419545641\t14.620000\n1419546241\t14.620000\n1419546857\t14.690000\n1419547457\t14.620000\n1419548058\t14.620000\n1419548659\t14.620000\n1419549259\t14.620000\n1419549860\t14.620000\n1419550460\t14.620000\n1419551061\t14.620000\n1419551661\t14.560000\n1419552262\t14.560000\n1419552862\t14.560000\n1419553463\t14.560000\n1419554063\t14.500000\n1419554664\t14.440000\n1419555265\t14.440000\n1419555865\t14.440000\n1419556466\t14.380000\n1419557066\t14.440000\n1419557667\t14.440000\n1419558267\t14.380000\n1419558868\t14.310000\n1419559468\t14.310000\n1419560069\t14.310000\n1419560670\t14.310000\n1419561270\t14.310000\n1419561871\t14.310000\n1419562471\t14.310000\n1419563072\t14.250000\n1419563672\t14.060000\n1419564273\t14.000000\n1419564873\t14.000000\n1419565474\t14.120000\n1419566089\t14.120000\n1419566690\t14.060000\n1419567290\t14.060000\n1419567891\t14.060000\n1419568492\t14.060000\n1419569092\t14.120000\n1419569693\t14.190000\n1419570293\t14.190000\n1419570894\t14.120000\n1419571494\t14.120000\n1419572095\t14.120000\n1419572695\t14.120000\n1419573296\t14.120000\n1419573896\t14.120000\n1419574497\t14.120000\n1419575098\t14.120000\n1419575698\t14.120000\n1419576299\t14.060000\n1419576899\t14.120000\n1419577500\t14.120000\n1419578100\t14.060000\n1419578701\t14.060000\n1419579301\t14.060000\n1419579902\t14.060000\n1419580502\t14.060000\n1419581103\t14.060000\n1419581704\t14.000000\n1419582304\t14.060000\n1419582905\t14.000000\n1419583505\t13.940000\n1419584121\t14.000000\n1419584721\t14.000000\n1419585322\t13.940000\n1419585922\t13.940000\n1419586523\t13.940000\n1419587123\t13.880000\n1419587724\t13.810000\n1419588324\t13.880000\n1419588925\t13.880000\n1419589526\t13.940000\n1419590126\t13.880000\n1419590727\t13.940000\n1419591327\t13.940000\n1419591928\t13.880000\n1419592528\t13.810000\n1419593129\t13.810000\n1419593729\t13.810000\n1419594330\t13.880000\n1419594930\t13.880000\n1419595531\t13.940000\n1419596132\t13.880000\n1419596732\t13.940000\n1419597333\t13.940000\n1419597933\t13.750000\n1419598534\t13.750000\n1419599134\t13.880000\n1419599735\t13.880000\n1419600335\t13.880000\n1419600936\t13.880000\n1419601536\t13.810000\n1419602137\t13.880000\n1419602738\t13.940000\n1419603353\t13.940000\n1419603954\t13.940000\n1419604554\t13.940000\n1419605155\t13.880000\n1419605755\t13.940000\n1419606356\t13.940000\n1419606957\t13.940000\n1419607557\t13.940000\n1419608158\t14.000000\n1419608758\t14.000000\n1419609359\t14.000000\n1419609959\t13.940000\n1419610560\t13.940000\n1419611160\t13.940000\n1419611761\t14.000000\n1419612361\t13.940000\n1419612962\t14.000000\n1419613563\t14.000000\n1419614163\t14.000000\n1419614764\t14.000000\n1419615364\t14.000000\n1419615965\t13.190000\n1419616565\t13.500000\n1419617166\t13.690000\n1419617766\t13.810000\n1419618367\t13.810000\n1419618967\t13.810000\n1419619568\t13.880000\n1419620169\t13.880000\n1419620769\t13.940000\n1419621370\t13.880000\n1419621970\t13.940000\n1419622586\t13.940000\n1419623186\t13.940000\n1419623787\t13.940000\n1419624387\t13.880000\n1419624988\t13.940000\n1419625588\t13.940000\n1419626189\t13.940000\n1419626790\t13.940000\n1419627390\t13.940000\n1419627991\t13.940000\n1419628591\t13.880000\n1419629192\t13.940000\n1419629792\t13.880000\n1419630393\t13.940000\n1419630993\t13.940000\n1419631594\t13.940000\n1419632194\t13.880000\n1419632795\t13.940000\n1419633395\t13.940000\n1419633996\t13.940000\n1419634596\t13.940000\n1419635197\t13.940000\n1419635798\t13.940000\n1419636398\t13.940000\n1419636999\t13.940000\n1419637599\t13.940000\n1419638200\t13.940000\n1419638800\t13.940000\n1419639401\t13.940000\n1419640001\t13.940000\n1419640602\t13.940000\n1419641202\t13.940000\n1419641818\t13.940000\n1419642419\t13.940000\n1419643019\t13.940000\n1419643620\t13.940000\n1419644220\t13.880000\n1419644821\t13.880000\n1419645421\t13.810000\n1419646022\t13.880000\n1419646622\t13.880000\n1419647223\t13.880000\n1419647824\t13.880000\n1419648424\t13.880000\n1419649025\t13.810000\n1419649625\t13.810000\n1419650226\t13.810000\n1419650826\t13.810000\n1419651427\t13.810000\n1419652027\t13.750000\n1419652628\t13.810000\n1419653229\t13.810000\n1419653829\t13.750000\n1419654430\t13.750000\n1419655030\t13.750000\n1419655631\t13.750000\n1419656231\t13.690000\n1419656832\t13.690000\n1419657432\t13.690000\n1419658033\t13.690000\n1419658633\t13.690000\n1419659234\t13.750000\n1419659835\t13.690000\n1419660435\t13.690000\n1419661051\t13.690000\n1419661651\t13.620000\n1419662252\t13.620000\n1419662852\t13.620000\n1419663453\t13.620000\n1419664053\t13.560000\n1419664654\t13.560000\n1419665254\t13.560000\n1419665855\t13.500000\n1419666456\t13.500000\n1419667056\t13.500000\n1419667657\t13.440000\n1419668257\t13.440000\n1419668858\t13.500000\n1419669458\t13.440000\n1419670059\t13.440000\n1419670659\t13.440000\n1419671260\t13.380000\n1419671861\t13.380000\n1419672461\t13.380000\n1419673062\t13.380000\n1419673662\t13.380000\n1419674263\t13.380000\n1419674863\t13.380000\n1419675464\t13.380000\n1419676064\t13.380000\n1419676665\t13.310000\n1419677265\t13.310000\n1419677866\t13.310000\n1419678466\t13.310000\n1419679067\t13.310000\n1419679668\t13.310000\n1419680283\t13.310000\n1419680884\t13.310000\n1419681484\t13.310000\n1419682085\t13.310000\n1419682685\t13.310000\n1419683286\t13.310000\n1419683886\t13.310000\n1419684487\t13.310000\n1419685088\t13.310000\n1419685688\t13.310000\n1419686289\t13.250000\n1419686889\t13.250000\n1419687490\t13.250000\n1419688090\t13.310000\n1419688691\t13.250000\n1419689291\t13.250000\n1419689892\t13.250000\n1419690493\t13.250000\n1419691093\t13.250000\n1419691694\t13.190000\n1419692294\t13.190000\n1419692895\t13.190000\n1419693495\t13.120000\n1419694096\t13.190000\n1419694696\t13.190000\n1419695297\t13.190000\n1419695897\t13.120000\n1419696498\t13.190000\n1419697098\t13.120000\n1419697699\t13.120000\n1419698299\t13.060000\n1419698900\t13.060000\n1419699500\t13.060000\n1419700101\t13.000000\n1419700702\t13.060000\n1419701302\t13.000000\n1419701903\t13.000000\n1419702518\t13.000000\n1419703119\t12.940000\n1419703719\t12.940000\n1419704320\t12.940000\n1419704920\t12.940000\n1419705521\t12.880000\n1419706121\t12.880000\n1419706722\t12.880000\n1419707323\t12.880000\n1419707923\t12.810000\n1419708524\t12.810000\n1419709124\t12.810000\n1419709725\t12.750000\n1419710325\t12.750000\n1419710926\t12.750000\n1419711526\t12.750000\n1419712127\t12.750000\n1419712728\t12.750000\n1419713328\t12.690000\n1419713929\t12.690000\n1419714529\t12.620000\n1419715130\t12.620000\n1419715730\t12.690000\n1419716331\t12.620000\n1419716931\t12.560000\n1419717532\t12.560000\n1419718133\t12.560000\n1419718733\t12.560000\n1419719334\t12.560000\n1419719934\t12.500000\n1419720535\t12.500000\n1419721135\t12.500000\n1419721736\t12.440000\n1419722337\t12.440000\n1419722937\t12.500000\n1419723553\t12.440000\n1419724153\t12.440000\n1419724754\t12.440000\n1419725354\t12.440000\n1419725955\t12.380000\n1419726555\t12.380000\n1419727156\t12.380000\n1419727757\t12.310000\n1419728357\t12.310000\n1419728958\t12.310000\n1419729558\t12.310000\n1419730159\t12.310000\n1419730759\t12.250000\n1419731360\t12.190000\n1419731960\t12.250000\n1419732561\t12.250000\n1419733162\t12.190000\n1419733762\t12.190000\n1419734363\t12.120000\n1419734963\t12.120000\n1419735564\t12.120000\n1419736164\t12.120000\n1419736765\t12.120000\n1419737365\t12.060000\n1419737966\t12.060000\n1419738567\t12.060000\n1419739167\t12.000000\n1419739768\t12.000000\n1419740368\t11.940000\n1419740969\t11.940000\n1419741569\t11.940000\n1419742170\t11.940000\n1419742770\t11.880000\n1419743386\t11.940000\n1419743986\t11.880000\n1419744587\t11.880000\n1419745188\t11.810000\n1419745788\t11.880000\n1419746389\t11.810000\n1419746989\t11.810000\n1419747590\t11.810000\n1419748190\t11.810000\n1419748791\t11.750000\n1419749392\t11.750000\n1419749992\t11.750000\n1419750593\t11.750000\n1419751193\t11.750000\n1419751794\t11.690000\n1419752394\t11.690000\n1419752995\t11.620000\n1419753595\t11.690000\n1419754196\t11.620000\n1419754796\t11.620000\n1419755397\t11.620000\n1419755998\t11.620000\n1419756598\t11.560000\n1419757199\t11.560000\n1419757799\t11.560000\n1419758400\t11.560000\n1419759000\t11.560000\n1419759601\t11.500000\n1419760201\t11.500000\n1419760802\t11.500000\n1419761402\t11.500000\n1419762003\t11.500000\n1419762603\t11.500000\n1419763219\t11.500000\n1419763820\t11.500000\n1419764420\t11.310000\n1419765021\t11.380000\n1419765621\t11.440000\n1419766222\t11.440000\n1419766822\t11.440000\n1419767423\t11.440000\n1419768023\t11.440000\n1419768624\t11.440000\n1419769224\t11.440000\n1419769825\t11.440000\n1419770426\t11.440000\n1419771026\t11.440000\n1419771627\t11.440000\n1419772227\t11.440000\n1419772828\t11.440000\n1419773428\t11.440000\n1419774029\t11.440000\n1419774629\t11.440000\n1419775230\t11.440000\n1419775831\t11.380000\n1419776431\t11.380000\n1419777032\t11.380000\n1419777632\t11.380000\n1419778233\t11.310000\n1419778833\t11.380000\n1419779434\t11.380000\n1419780034\t11.310000\n1419780635\t11.250000\n1419781235\t11.310000\n1419781851\t11.310000\n1419782452\t11.250000\n1419783052\t11.250000\n1419783653\t11.250000\n1419784253\t11.250000\n1419784854\t11.190000\n1419785454\t11.190000\n1419786055\t11.190000\n1419786655\t11.190000\n1419787256\t11.120000\n1419787856\t11.120000\n1419788457\t11.120000\n1419789057\t11.120000\n1419789658\t11.060000\n1419790258\t11.060000\n1419790859\t11.060000\n1419791459\t11.060000\n1419792060\t11.060000\n1419792661\t11.000000\n1419793261\t11.000000\n1419793862\t11.000000\n1419794462\t10.940000\n1419795063\t10.940000\n1419795663\t10.940000\n1419796264\t10.940000\n1419796864\t10.880000\n1419797465\t10.880000\n1419798066\t10.880000\n1419798666\t10.880000\n1419799267\t10.880000\n1419799882\t10.810000\n1419800483\t10.810000\n1419801083\t10.810000\n1419801684\t10.810000\n1419802284\t10.750000\n1419802885\t10.750000\n1419803485\t10.750000\n1419804086\t10.750000\n1419804687\t10.690000\n1419805287\t10.750000\n1419805888\t10.690000\n1419806488\t10.690000\n1419807089\t10.690000\n1419807689\t10.690000\n1419808290\t10.620000\n1419808890\t10.690000\n1419809491\t10.620000\n1419810092\t10.620000\n1419810692\t10.620000\n1419811293\t10.560000\n1419811893\t10.560000\n1419812494\t10.560000\n1419813094\t10.560000\n1419813695\t10.500000\n1419814295\t10.500000\n1419814896\t10.500000\n1419815496\t10.500000\n1419816097\t10.500000\n1419816698\t10.440000\n1419817298\t10.500000\n1419817914\t10.440000\n1419818514\t10.440000\n1419819115\t10.440000\n1419819715\t10.440000\n1419820316\t10.440000\n1419820916\t10.440000\n1419821517\t10.440000\n1419822117\t10.440000\n1419822718\t10.440000\n1419823318\t10.440000\n1419823919\t10.440000\n1419824519\t10.440000\n1419825120\t10.380000\n1419825720\t10.380000\n1419826321\t10.380000\n1419826922\t10.380000\n1419827522\t10.380000\n1419828123\t10.380000\n1419828723\t10.380000\n1419829324\t10.310000\n1419829924\t10.310000\n1419830525\t10.310000\n1419831125\t10.380000\n1419831726\t10.380000\n1419832326\t10.380000\n1419832927\t10.380000\n1419833528\t10.380000\n1419834128\t10.380000\n1419834729\t10.380000\n1419835344\t10.380000\n1419835945\t10.380000\n1419836545\t10.380000\n1419837146\t10.380000\n1419837746\t10.380000\n1419838347\t10.380000\n1419838947\t10.380000\n1419839548\t10.380000\n1419840149\t10.380000\n1419840749\t10.380000\n1419841350\t10.380000\n1419841950\t10.380000\n1419842551\t10.380000\n1419843151\t10.380000\n1419843752\t10.380000\n1419844352\t10.380000\n1419844953\t10.380000\n1419845553\t10.380000\n1419846154\t10.380000\n1419846755\t10.380000\n1419847355\t10.440000\n1419847956\t10.440000\n1419848556\t10.380000\n1419849157\t10.440000\n1419849757\t10.440000\n1419850358\t10.440000\n1419850958\t10.380000\n1419851559\t10.380000\n1419852159\t10.380000\n1419852760\t10.380000\n1419853376\t10.380000\n1419853976\t10.380000\n1419854577\t10.380000\n1419855177\t10.440000\n1419855778\t10.380000\n1419856378\t10.440000\n1419856979\t10.440000\n1419857579\t10.440000\n1419858180\t10.380000\n1419858781\t10.440000\n1419859381\t10.440000\n1419859982\t10.440000\n1419860582\t10.440000\n1419861183\t10.380000\n1419861783\t10.440000\n1419862384\t10.440000\n1419862985\t10.440000\n1419863585\t10.440000\n1419864186\t10.440000\n1419864786\t10.500000\n1419865387\t10.560000\n1419865987\t10.500000\n1419866588\t10.560000\n1419867188\t10.560000\n1419867789\t10.560000\n1419868389\t10.560000\n1419868990\t10.500000\n1419869591\t10.440000\n1419870191\t10.440000\n1419870792\t10.440000\n1419871407\t10.440000\n1419872008\t10.440000\n1419872608\t10.500000\n1419873209\t10.440000\n1419873809\t10.380000\n1419874410\t10.380000\n1419875010\t10.440000\n1419875611\t10.620000\n1419876212\t10.750000\n1419876812\t10.750000\n1419877413\t10.750000\n1419878013\t10.690000\n1419878614\t10.750000\n1419879214\t10.750000\n1419879815\t10.750000\n1419880415\t10.750000\n1419881016\t10.750000\n1419881617\t10.750000\n1419882217\t10.750000\n1419882818\t10.750000\n1419883418\t10.750000\n1419884019\t10.750000\n1419884619\t10.810000\n1419885220\t10.810000\n1419885820\t10.810000\n1419886421\t10.810000\n1419887021\t10.810000\n1419887622\t10.750000\n1419888237\t10.750000\n1419888838\t10.690000\n1419889438\t10.620000\n1419890039\t10.560000\n1419890640\t10.560000\n1419891240\t10.500000\n1419891841\t10.500000\n1419892441\t10.500000\n1419893042\t10.500000\n1419893642\t10.440000\n1419894243\t10.440000\n1419894843\t10.440000\n1419895444\t10.440000\n1419896044\t10.440000\n1419896645\t10.500000\n1419897245\t10.440000\n1419897846\t10.560000\n1419898447\t10.560000\n1419899047\t10.560000\n1419899648\t10.620000\n1419900248\t10.620000\n1419900849\t10.690000\n1419901449\t10.690000\n1419902050\t10.690000\n1419902650\t10.690000\n1419903251\t10.690000\n1419903851\t10.690000\n1419904452\t10.750000\n1419905067\t10.750000\n1419905668\t10.810000\n1419906269\t10.880000\n1419906869\t10.880000\n1419907470\t10.940000\n1419908070\t10.940000\n1419908671\t10.940000\n1419909271\t10.940000\n1419909872\t10.940000\n1419910472\t10.940000\n1419911073\t10.940000\n1419911673\t10.880000\n1419912274\t10.880000\n1419912874\t10.880000\n1419913475\t10.880000\n1419914076\t10.880000\n1419914676\t10.880000\n1419915277\t10.940000\n1419915877\t10.880000\n1419916478\t10.880000\n1419917078\t10.940000\n1419917679\t10.940000\n1419918279\t10.940000\n1419918880\t10.940000\n1419919480\t11.000000\n1419920081\t11.000000\n1419920682\t11.000000\n1419921282\t11.000000\n1419921898\t10.940000\n1419922498\t10.940000\n1419923099\t10.940000\n1419923699\t10.940000\n1419924300\t10.940000\n1419924900\t11.000000\n1419925501\t11.060000\n1419926101\t11.120000\n1419926702\t11.120000\n1419927303\t11.190000\n1419927903\t11.190000\n1419928504\t11.250000\n1419929104\t11.250000\n1419929705\t11.250000\n1419930305\t11.250000\n1419930906\t11.190000\n1419931506\t11.190000\n1419932107\t11.120000\n1419932707\t11.060000\n1419933308\t11.120000\n1419933909\t11.060000\n1419934509\t11.060000\n1419935110\t11.060000\n1419935710\t11.120000\n1419936311\t11.190000\n1419936911\t11.120000\n1419937527\t11.060000\n1419938127\t11.120000\n1419938728\t11.190000\n1419939328\t11.250000\n1419939929\t11.250000\n1419940529\t11.250000\n1419941130\t11.190000\n1419941731\t11.190000\n1419942331\t11.190000\n1419942932\t11.190000\n1419943532\t11.190000\n1419944133\t11.250000\n1419944733\t11.310000\n1419945334\t11.250000\n1419945934\t11.250000\n1419946535\t11.250000\n1419947135\t11.250000\n1419947736\t11.250000\n1419948336\t11.250000\n1419948937\t11.250000\n1419949537\t11.310000\n1419950138\t11.250000\n1419950739\t11.250000\n1419951339\t11.310000\n1419951940\t11.380000\n1419952540\t11.310000\n1419953141\t11.310000\n1419953741\t11.310000\n1419954342\t11.380000\n1419954957\t11.440000\n1419955558\t11.380000\n1419956158\t11.380000\n1419956759\t11.380000\n1419957360\t11.440000\n1419957960\t11.380000\n1419958561\t11.380000\n1419959161\t11.380000\n1419959762\t11.440000\n1419960362\t11.440000\n1419960963\t11.440000\n1419961563\t11.440000\n1419962164\t11.500000\n1419962764\t11.500000\n1419963365\t11.500000\n1419963965\t11.500000\n1419964566\t11.560000\n1419965166\t11.560000\n1419965767\t11.560000\n1419966368\t11.560000\n1419966968\t11.560000\n1419967569\t11.560000\n1419968169\t11.560000\n1419968770\t11.620000\n1419969370\t11.620000\n1419969971\t11.690000\n1419970571\t11.690000\n1419971172\t11.690000\n1419971787\t11.750000\n1419972388\t11.750000\n1419972988\t11.750000\n1419973589\t11.690000\n1419974190\t11.620000\n1419974790\t11.690000\n1419975391\t11.810000\n1419975991\t11.810000\n1419976592\t11.810000\n1419977192\t11.810000\n1419977793\t11.750000\n1419978393\t11.750000\n1419978994\t11.750000\n1419979595\t11.750000\n1419980195\t11.810000\n"
  },
  {
    "path": "temperature_outdoor_2014.tsv",
    "content": "1388530986\t4.380000\n1388531586\t4.250000\n1388532187\t4.190000\n1388532787\t4.060000\n1388533388\t4.060000\n1388533988\t4.060000\n1388534589\t4.060000\n1388535189\t4.060000\n1388535790\t4.060000\n1388536406\t3.810000\n1388537006\t3.620000\n1388537607\t3.500000\n1388538207\t3.620000\n1388538808\t3.620000\n1388539408\t3.620000\n1388540009\t3.560000\n1388540609\t3.620000\n1388541210\t3.620000\n1388541810\t3.500000\n1388542411\t3.380000\n1388543012\t3.440000\n1388543612\t3.380000\n1388544213\t3.310000\n1388544813\t3.250000\n1388545414\t3.310000\n1388546014\t3.380000\n1388546615\t3.380000\n1388547215\t3.250000\n1388547816\t3.250000\n1388548417\t3.250000\n1388549017\t3.190000\n1388549618\t3.120000\n1388550218\t3.120000\n1388550819\t3.060000\n1388551419\t2.880000\n1388552020\t2.880000\n1388552620\t2.750000\n1388553221\t2.500000\n1388553821\t2.440000\n1388554422\t2.250000\n1388555022\t2.120000\n1388555638\t2.120000\n1388556238\t2.060000\n1388556839\t1.940000\n1388557440\t1.880000\n1388558040\t1.810000\n1388558641\t1.750000\n1388559241\t1.750000\n1388559842\t1.690000\n1388560442\t1.560000\n1388561043\t1.500000\n1388561643\t1.250000\n1388562244\t1.250000\n1388562845\t1.250000\n1388563445\t1.250000\n1388564046\t1.190000\n1388564646\t1.190000\n1388565247\t1.250000\n1388565847\t1.310000\n1388566448\t1.440000\n1388567048\t1.380000\n1388567649\t1.380000\n1388568249\t1.440000\n1388568850\t1.440000\n1388569450\t1.380000\n1388570051\t1.380000\n1388570652\t1.380000\n1388571252\t1.310000\n1388571853\t1.440000\n1388572453\t1.440000\n1388573054\t1.500000\n1388573669\t1.620000\n1388574270\t1.750000\n1388574870\t1.620000\n1388575471\t1.620000\n1388576072\t1.620000\n1388576672\t1.690000\n1388577273\t1.750000\n1388577873\t1.690000\n1388578474\t1.690000\n1388579074\t1.750000\n1388579675\t1.810000\n1388580275\t1.880000\n1388580876\t1.810000\n1388581476\t1.750000\n1388582077\t1.750000\n1388582678\t1.690000\n1388583278\t1.620000\n1388583879\t1.620000\n1388584479\t1.620000\n1388585080\t1.690000\n1388585680\t1.690000\n1388586281\t1.620000\n1388586881\t1.690000\n1388587482\t1.690000\n1388588082\t1.690000\n1388588683\t1.690000\n1388589283\t1.690000\n1388589884\t1.690000\n1388590485\t1.690000\n1388591085\t1.750000\n1388591686\t1.690000\n1388592301\t1.690000\n1388592902\t1.620000\n1388593502\t1.620000\n1388594103\t1.620000\n1388594704\t1.690000\n1388595304\t1.750000\n1388595905\t1.810000\n1388596505\t1.880000\n1388597106\t1.940000\n1388597706\t1.940000\n1388598307\t2.000000\n1388598907\t2.000000\n1388599508\t2.120000\n1388600109\t2.120000\n1388600709\t2.120000\n1388601310\t2.190000\n1388601910\t2.190000\n1388602511\t2.250000\n1388603111\t2.250000\n1388603712\t2.310000\n1388604312\t2.310000\n1388604913\t2.310000\n1388605514\t2.380000\n1388606114\t2.310000\n1388606715\t2.310000\n1388607315\t2.380000\n1388607916\t2.380000\n1388608516\t2.380000\n1388609117\t2.440000\n1388609717\t2.440000\n1388610318\t2.500000\n1388610933\t2.500000\n1388611534\t2.500000\n1388612134\t2.500000\n1388612735\t2.500000\n1388613336\t2.500000\n1388613936\t2.560000\n1388614537\t2.500000\n1388615137\t2.560000\n1388615738\t2.560000\n1388616338\t2.560000\n1388616939\t2.560000\n1388617539\t2.560000\n1388618140\t2.560000\n1388618741\t2.560000\n1388619341\t2.620000\n1388619942\t2.620000\n1388620542\t2.620000\n1388621143\t2.690000\n1388621743\t2.690000\n1388622344\t2.690000\n1388622944\t2.690000\n1388623545\t2.690000\n1388624145\t2.690000\n1388624746\t2.690000\n1388625347\t2.690000\n1388625947\t2.690000\n1388626548\t2.690000\n1388627163\t2.690000\n1388627764\t2.690000\n1388628364\t2.690000\n1388628965\t2.750000\n1388629565\t2.750000\n1388630166\t2.750000\n1388630767\t2.750000\n1388631367\t2.750000\n1388631968\t2.810000\n1388632568\t2.750000\n1388633169\t2.750000\n1388633769\t2.750000\n1388634370\t2.750000\n1388634970\t2.750000\n1388635571\t2.750000\n1388636171\t2.750000\n1388636772\t2.750000\n1388637372\t2.750000\n1388637973\t2.750000\n1388638574\t2.690000\n1388639174\t2.690000\n1388639775\t2.690000\n1388640375\t2.750000\n1388640976\t2.750000\n1388641591\t2.750000\n1388642192\t2.750000\n1388642793\t2.810000\n1388643393\t2.810000\n1388643994\t2.810000\n1388644594\t2.880000\n1388645195\t2.880000\n1388645795\t2.880000\n1388646396\t2.880000\n1388646996\t2.880000\n1388647597\t2.880000\n1388648198\t2.880000\n1388648798\t2.880000\n1388649399\t2.810000\n1388649999\t2.880000\n1388650600\t2.880000\n1388651200\t2.940000\n1388651801\t2.940000\n1388652401\t2.940000\n1388653002\t3.000000\n1388653603\t3.000000\n1388654203\t2.940000\n1388654804\t3.000000\n1388655404\t3.000000\n1388656005\t3.000000\n1388656605\t3.000000\n1388657206\t3.060000\n1388657806\t3.060000\n1388658407\t3.060000\n1388659007\t3.060000\n1388659608\t3.060000\n1388660209\t3.060000\n1388660809\t3.060000\n1388661425\t3.120000\n1388662025\t3.120000\n1388662626\t3.060000\n1388663226\t3.120000\n1388663827\t3.190000\n1388664427\t3.310000\n1388665028\t3.440000\n1388665628\t3.440000\n1388666229\t3.440000\n1388666830\t3.380000\n1388667430\t3.380000\n1388668031\t3.310000\n1388668631\t3.310000\n1388669232\t3.440000\n1388669832\t3.440000\n1388670433\t3.560000\n1388671033\t3.560000\n1388671634\t3.560000\n1388672235\t3.560000\n1388672835\t3.440000\n1388673436\t3.440000\n1388674036\t3.500000\n1388674637\t3.500000\n1388675237\t3.500000\n1388675838\t3.620000\n1388676438\t3.560000\n1388677039\t3.560000\n1388677639\t3.620000\n1388678240\t3.690000\n1388678841\t3.750000\n1388679441\t3.810000\n1388680042\t3.880000\n1388680657\t4.000000\n1388681258\t4.000000\n1388681858\t4.060000\n1388682459\t4.060000\n1388683059\t4.000000\n1388683660\t4.060000\n1388684260\t4.060000\n1388684861\t4.000000\n1388685462\t4.000000\n1388686062\t4.000000\n1388686663\t4.000000\n1388687263\t3.940000\n1388687864\t4.000000\n1388688464\t3.940000\n1388689065\t3.880000\n1388689665\t3.940000\n1388690266\t3.940000\n1388690866\t3.940000\n1388691467\t4.000000\n1388692067\t4.060000\n1388692668\t4.000000\n1388693268\t4.060000\n1388693869\t4.060000\n1388694470\t4.060000\n1388695070\t4.060000\n1388695671\t3.940000\n1388696271\t3.880000\n1388696872\t3.880000\n1388697472\t3.750000\n1388698073\t3.750000\n1388698673\t3.750000\n1388699274\t3.690000\n1388699875\t3.690000\n1388700475\t3.690000\n1388701076\t3.620000\n1388701691\t3.560000\n1388702292\t3.560000\n1388702892\t3.500000\n1388703493\t3.440000\n1388704093\t3.440000\n1388704694\t3.380000\n1388705294\t3.310000\n1388705895\t3.250000\n1388706495\t3.250000\n1388707096\t3.190000\n1388707697\t3.190000\n1388708297\t3.250000\n1388708898\t3.310000\n1388709498\t3.310000\n1388710099\t3.310000\n1388710699\t3.310000\n1388711300\t3.380000\n1388711900\t3.380000\n1388712501\t3.440000\n1388713101\t3.440000\n1388713702\t3.440000\n1388714303\t3.440000\n1388714903\t3.440000\n1388715504\t3.500000\n1388716104\t3.500000\n1388716705\t3.500000\n1388717305\t3.500000\n1388717906\t3.500000\n1388718507\t3.500000\n1388719107\t3.500000\n1388719708\t3.560000\n1388720308\t3.500000\n1388720909\t3.560000\n1388721509\t3.560000\n1388722110\t3.560000\n1388722725\t3.560000\n1388723326\t3.560000\n1388723926\t3.560000\n1388724527\t3.560000\n1388725127\t3.500000\n1388725728\t3.500000\n1388726328\t3.560000\n1388726929\t3.500000\n1388727530\t3.560000\n1388728130\t3.560000\n1388728731\t3.560000\n1388729331\t3.620000\n1388729932\t3.620000\n1388730532\t3.620000\n1388731133\t3.620000\n1388731733\t3.690000\n1388732334\t3.690000\n1388732935\t3.690000\n1388733535\t3.750000\n1388734136\t3.690000\n1388734736\t3.750000\n1388735337\t3.810000\n1388735937\t3.810000\n1388736538\t3.810000\n1388737138\t3.750000\n1388737739\t3.810000\n1388738340\t3.880000\n1388738940\t3.880000\n1388739541\t3.880000\n1388740141\t3.940000\n1388740742\t3.940000\n1388741357\t4.000000\n1388741958\t3.940000\n1388742558\t4.000000\n1388743159\t4.000000\n1388743759\t4.000000\n1388744360\t4.060000\n1388744960\t4.060000\n1388745561\t4.120000\n1388746161\t4.120000\n1388746762\t4.250000\n1388747363\t4.310000\n1388747963\t4.310000\n1388748564\t4.310000\n1388749164\t4.310000\n1388749765\t4.380000\n1388750365\t4.380000\n1388750966\t4.380000\n1388751566\t4.380000\n1388752167\t4.440000\n1388752768\t4.500000\n1388753368\t4.500000\n1388753969\t4.560000\n1388754569\t4.560000\n1388755170\t4.560000\n1388755770\t4.560000\n1388756371\t4.560000\n1388756971\t4.560000\n1388757572\t4.560000\n1388758173\t4.560000\n1388758773\t4.500000\n1388759374\t4.560000\n1388759989\t4.560000\n1388760590\t4.560000\n1388761190\t4.560000\n1388761791\t4.560000\n1388762391\t4.560000\n1388762992\t4.500000\n1388763592\t4.560000\n1388764193\t4.620000\n1388764793\t4.620000\n1388765394\t4.620000\n1388765995\t4.560000\n1388766595\t4.560000\n1388767196\t4.380000\n1388767796\t4.310000\n1388768397\t4.060000\n1388768997\t3.940000\n1388769598\t3.940000\n1388770198\t4.060000\n1388770799\t4.060000\n1388771399\t4.000000\n1388772000\t4.190000\n1388772601\t4.250000\n1388773201\t4.250000\n1388773802\t4.310000\n1388774402\t4.380000\n1388775003\t4.440000\n1388775603\t4.440000\n1388776204\t4.310000\n1388776804\t4.250000\n1388777405\t4.250000\n1388778006\t4.120000\n1388778606\t4.120000\n1388779222\t4.190000\n1388779822\t4.190000\n1388780423\t4.190000\n1388781023\t4.310000\n1388781624\t4.310000\n1388782224\t4.380000\n1388782825\t4.380000\n1388783426\t4.440000\n1388784026\t4.440000\n1388784627\t4.500000\n1388785227\t4.560000\n1388785828\t4.560000\n1388786428\t4.560000\n1388787029\t4.560000\n1388787629\t4.620000\n1388788230\t4.690000\n1388788831\t4.690000\n1388789431\t4.690000\n1388790032\t4.750000\n1388790632\t4.810000\n1388791233\t4.810000\n1388791833\t4.810000\n1388792434\t4.880000\n1388793034\t4.880000\n1388793635\t4.940000\n1388794236\t4.940000\n1388794836\t4.940000\n1388795437\t5.000000\n1388796037\t4.940000\n1388796638\t5.000000\n1388797238\t5.000000\n1388797839\t5.060000\n1388798454\t5.000000\n1388799055\t5.000000\n1388799655\t5.000000\n1388800256\t5.060000\n1388800856\t5.060000\n1388801457\t5.060000\n1388802057\t5.120000\n1388802658\t5.120000\n1388803259\t5.120000\n1388803859\t5.120000\n1388804460\t5.120000\n1388805060\t5.060000\n1388805661\t4.880000\n1388806261\t4.940000\n1388806862\t5.000000\n1388807462\t5.000000\n1388808063\t5.000000\n1388808663\t5.000000\n1388809264\t5.060000\n1388809864\t5.060000\n1388810465\t5.060000\n1388811066\t5.120000\n1388811666\t5.060000\n1388812267\t5.060000\n1388812867\t5.120000\n1388813468\t5.060000\n1388814068\t5.120000\n1388814669\t5.190000\n1388815269\t5.190000\n1388815885\t5.190000\n1388816486\t5.190000\n1388817086\t5.120000\n1388817687\t5.190000\n1388818287\t5.190000\n1388818888\t5.190000\n1388819488\t5.190000\n1388820089\t5.250000\n1388820689\t5.250000\n1388821290\t5.250000\n1388821890\t5.250000\n1388822491\t5.190000\n1388823092\t5.120000\n1388823692\t5.060000\n1388824293\t5.060000\n1388824893\t5.060000\n1388825494\t5.060000\n1388826094\t5.000000\n1388826695\t5.000000\n1388827295\t5.060000\n1388827896\t5.120000\n1388828497\t5.190000\n1388829097\t5.250000\n1388829698\t5.310000\n1388830298\t5.380000\n1388830899\t5.440000\n1388831499\t5.500000\n1388832100\t5.750000\n1388832700\t6.000000\n1388833301\t6.060000\n1388833902\t6.190000\n1388834502\t6.000000\n1388835103\t6.060000\n1388835718\t5.940000\n1388836319\t5.940000\n1388836919\t5.880000\n1388837520\t5.810000\n1388838120\t5.810000\n1388838721\t5.880000\n1388839321\t5.880000\n1388839922\t5.880000\n1388840523\t5.940000\n1388841123\t5.810000\n1388841724\t5.810000\n1388842324\t5.750000\n1388842925\t5.750000\n1388843525\t5.690000\n1388844126\t5.690000\n1388844726\t5.690000\n1388845327\t5.690000\n1388845928\t5.690000\n1388846528\t5.620000\n1388847129\t5.620000\n1388847729\t5.560000\n1388848330\t5.500000\n1388848930\t5.440000\n1388849531\t5.440000\n1388850132\t5.250000\n1388850732\t5.310000\n1388851333\t5.310000\n1388851933\t5.250000\n1388852534\t5.250000\n1388853134\t5.250000\n1388853735\t5.310000\n1388854335\t5.440000\n1388854951\t5.380000\n1388855551\t5.310000\n1388856152\t5.250000\n1388856752\t5.190000\n1388857353\t5.060000\n1388857954\t4.940000\n1388858554\t4.940000\n1388859155\t4.880000\n1388859755\t4.880000\n1388860356\t4.940000\n1388860956\t4.880000\n1388861557\t4.880000\n1388862158\t4.940000\n1388862758\t4.810000\n1388863359\t4.810000\n1388863959\t4.940000\n1388864560\t5.120000\n1388865160\t5.190000\n1388865761\t5.190000\n1388866361\t5.190000\n1388866962\t5.060000\n1388867562\t5.000000\n1388868163\t5.000000\n1388868764\t4.880000\n1388869364\t4.880000\n1388869965\t4.750000\n1388870565\t4.620000\n1388871166\t4.380000\n1388871766\t4.190000\n1388872382\t4.060000\n1388872982\t4.120000\n1388873583\t4.120000\n1388874183\t4.120000\n1388874784\t4.060000\n1388875385\t4.190000\n1388875985\t4.120000\n1388876586\t3.940000\n1388877186\t3.940000\n1388877787\t3.810000\n1388878387\t3.690000\n1388878988\t3.500000\n1388879588\t3.310000\n1388880189\t3.250000\n1388880790\t3.190000\n1388881390\t2.750000\n1388881991\t2.810000\n1388882591\t2.750000\n1388883192\t2.750000\n1388883792\t2.690000\n1388884393\t2.440000\n1388884993\t2.250000\n1388885594\t2.190000\n1388886195\t2.060000\n1388886795\t2.060000\n1388887396\t2.000000\n1388887996\t1.810000\n1388888597\t1.880000\n1388889197\t1.810000\n1388889798\t1.750000\n1388890398\t1.690000\n1388890999\t1.620000\n1388891615\t1.560000\n1388892215\t1.380000\n1388892816\t1.380000\n1388893416\t1.310000\n1388894017\t1.310000\n1388894617\t1.190000\n1388895218\t1.190000\n1388895818\t1.060000\n1388896419\t1.060000\n1388897019\t1.060000\n1388897620\t1.060000\n1388898221\t1.120000\n1388898821\t1.250000\n1388899422\t1.310000\n1388900022\t1.380000\n1388900623\t1.380000\n1388901223\t1.440000\n1388901824\t1.310000\n1388902424\t1.310000\n1388903025\t1.440000\n1388903625\t1.500000\n1388904226\t1.500000\n1388904827\t1.440000\n1388905427\t1.440000\n1388906028\t1.440000\n1388906628\t1.500000\n1388907229\t1.500000\n1388907829\t1.440000\n1388908430\t1.440000\n1388909030\t1.500000\n1388909631\t1.560000\n1388910246\t1.560000\n1388910847\t1.690000\n1388911447\t1.810000\n1388912048\t1.810000\n1388912649\t1.880000\n1388913249\t1.940000\n1388913850\t1.940000\n1388914450\t2.000000\n1388915051\t2.060000\n1388915651\t2.060000\n1388916252\t2.190000\n1388916852\t1.940000\n1388917453\t1.940000\n1388918054\t1.940000\n1388918654\t1.940000\n1388919255\t2.000000\n1388919855\t1.880000\n1388920456\t1.940000\n1388921056\t1.880000\n1388921657\t2.000000\n1388922257\t2.000000\n1388922858\t1.940000\n1388923458\t2.060000\n1388924059\t2.120000\n1388924660\t2.000000\n1388925260\t2.060000\n1388925861\t2.060000\n1388926476\t2.000000\n1388927077\t2.000000\n1388927677\t2.000000\n1388928278\t1.940000\n1388928878\t1.940000\n1388929479\t2.000000\n1388930079\t2.000000\n1388930680\t2.000000\n1388931281\t2.060000\n1388931881\t2.120000\n1388932482\t2.190000\n1388933082\t2.310000\n1388933683\t2.380000\n1388934283\t2.440000\n1388934884\t2.500000\n1388935484\t2.560000\n1388936085\t2.620000\n1388936685\t2.690000\n1388937286\t2.690000\n1388937887\t2.750000\n1388938487\t2.750000\n1388939088\t2.810000\n1388939688\t2.880000\n1388940289\t2.880000\n1388940889\t2.880000\n1388941490\t2.940000\n1388942090\t2.940000\n1388942691\t2.940000\n1388943292\t2.940000\n1388943892\t2.880000\n1388944493\t2.940000\n1388945093\t2.940000\n1388945694\t2.940000\n1388946309\t3.000000\n1388946910\t3.120000\n1388947510\t3.190000\n1388948111\t3.190000\n1388948712\t3.190000\n1388949312\t3.190000\n1388949913\t3.250000\n1388950513\t3.190000\n1388951114\t3.250000\n1388951714\t3.250000\n1388952315\t3.310000\n1388952915\t3.310000\n1388953516\t3.310000\n1388954116\t3.250000\n1388954717\t3.250000\n1388955318\t3.250000\n1388955918\t3.250000\n1388956519\t3.250000\n1388957119\t3.310000\n1388957720\t3.250000\n1388958320\t3.250000\n1388958921\t3.250000\n1388959522\t3.250000\n1388960122\t3.250000\n1388960723\t3.190000\n1388961323\t3.190000\n1388961924\t3.120000\n1388962524\t3.120000\n1388963125\t3.120000\n1388963740\t3.120000\n1388964341\t3.060000\n1388964941\t3.060000\n1388965542\t3.000000\n1388966143\t2.940000\n1388966743\t2.940000\n1388967344\t2.940000\n1388967944\t3.000000\n1388968545\t3.000000\n1388969145\t3.000000\n1388969746\t3.000000\n1388970346\t3.060000\n1388970947\t3.060000\n1388971548\t3.060000\n1388972148\t3.060000\n1388972749\t3.060000\n1388973349\t3.060000\n1388973950\t3.060000\n1388974550\t3.060000\n1388975151\t3.060000\n1388975751\t3.060000\n1388976352\t3.060000\n1388976953\t3.060000\n1388977553\t3.060000\n1388978154\t3.060000\n1388978754\t3.060000\n1388979355\t3.060000\n1388979955\t3.120000\n1388980556\t3.120000\n1388981156\t3.120000\n1388981757\t3.060000\n1388982358\t3.120000\n1388982958\t3.060000\n1388983574\t3.000000\n1388984174\t3.000000\n1388984775\t3.000000\n1388985375\t3.000000\n1388985976\t3.060000\n1388986576\t3.060000\n1388987177\t2.940000\n1388987777\t2.810000\n1388988378\t2.750000\n1388988979\t2.690000\n1388989579\t2.750000\n1388990180\t2.810000\n1388990780\t2.880000\n1388991381\t2.940000\n1388991981\t3.000000\n1388992582\t3.060000\n1388993182\t3.060000\n1388993783\t3.120000\n1388994384\t3.190000\n1388994984\t3.310000\n1388995585\t3.310000\n1388996185\t3.380000\n1388996786\t3.440000\n1388997386\t3.500000\n1388997987\t3.560000\n1388998587\t3.620000\n1388999188\t3.620000\n1388999789\t3.560000\n1389000389\t3.500000\n1389000990\t3.560000\n1389001590\t3.560000\n1389002191\t3.620000\n1389002791\t3.560000\n1389003407\t3.560000\n1389004007\t3.560000\n1389004608\t3.440000\n1389005208\t3.380000\n1389005809\t3.620000\n1389006410\t3.810000\n1389007010\t3.690000\n1389007611\t3.620000\n1389008211\t3.750000\n1389008812\t4.000000\n1389009412\t4.060000\n1389010013\t3.810000\n1389010613\t3.810000\n1389011214\t3.750000\n1389011814\t3.560000\n1389012415\t3.310000\n1389013015\t3.190000\n1389013616\t3.190000\n1389014217\t3.190000\n1389014817\t3.120000\n1389015418\t3.060000\n1389016018\t3.000000\n1389016619\t2.940000\n1389017219\t2.940000\n1389017820\t2.940000\n1389018420\t2.940000\n1389019021\t2.940000\n1389019621\t2.880000\n1389020222\t2.880000\n1389020822\t2.880000\n1389021423\t2.940000\n1389022039\t2.880000\n1389022639\t2.810000\n1389023240\t2.940000\n1389023840\t3.060000\n1389024441\t3.060000\n1389025041\t3.120000\n1389025642\t3.120000\n1389026242\t3.190000\n1389026843\t3.310000\n1389027444\t3.440000\n1389028044\t3.500000\n1389028645\t3.560000\n1389029245\t3.620000\n1389029846\t3.620000\n1389030446\t3.690000\n1389031047\t3.750000\n1389031647\t3.810000\n1389032248\t3.880000\n1389032849\t3.940000\n1389033449\t3.940000\n1389034050\t4.000000\n1389034650\t4.000000\n1389035251\t4.000000\n1389035851\t4.060000\n1389036452\t4.060000\n1389037053\t4.060000\n1389037653\t4.060000\n1389038254\t4.120000\n1389038854\t4.190000\n1389039470\t4.190000\n1389040070\t4.250000\n1389040671\t4.310000\n1389041271\t4.380000\n1389041872\t4.440000\n1389042473\t4.500000\n1389043073\t4.560000\n1389043674\t4.620000\n1389044274\t4.690000\n1389044875\t4.690000\n1389045475\t4.690000\n1389046076\t4.690000\n1389046676\t4.750000\n1389047277\t4.750000\n1389047878\t4.750000\n1389048478\t4.810000\n1389049079\t4.880000\n1389049679\t4.880000\n1389050280\t4.880000\n1389050880\t4.880000\n1389051481\t4.880000\n1389052081\t4.810000\n1389052682\t4.750000\n1389053283\t4.810000\n1389053883\t4.880000\n1389054484\t5.000000\n1389055084\t5.060000\n1389055685\t5.000000\n1389056285\t5.000000\n1389056886\t4.940000\n1389057486\t4.880000\n1389058087\t5.000000\n1389058703\t5.060000\n1389059303\t5.190000\n1389059904\t5.190000\n1389060504\t5.250000\n1389061105\t5.120000\n1389061705\t5.060000\n1389062306\t5.190000\n1389062906\t5.310000\n1389063507\t5.500000\n1389064107\t5.560000\n1389064708\t5.560000\n1389065308\t5.500000\n1389065909\t5.500000\n1389066510\t5.440000\n1389067110\t5.500000\n1389067711\t5.560000\n1389068311\t5.620000\n1389068912\t5.690000\n1389069512\t5.750000\n1389070113\t5.810000\n1389070713\t5.940000\n1389071314\t5.940000\n1389071914\t6.000000\n1389072515\t5.880000\n1389073116\t5.880000\n1389073716\t5.880000\n1389074317\t5.940000\n1389074917\t6.000000\n1389075518\t6.120000\n1389076118\t6.060000\n1389076719\t6.190000\n1389077319\t6.190000\n1389077920\t6.190000\n1389078536\t6.250000\n1389079136\t6.250000\n1389079737\t6.250000\n1389080337\t6.310000\n1389080938\t6.250000\n1389081538\t6.310000\n1389082139\t6.310000\n1389082739\t6.310000\n1389083340\t6.310000\n1389083941\t6.120000\n1389084541\t6.120000\n1389085142\t6.190000\n1389085742\t6.310000\n1389086343\t6.500000\n1389086943\t6.500000\n1389087544\t6.500000\n1389088144\t6.560000\n1389088745\t6.620000\n1389089345\t6.690000\n1389089946\t6.690000\n1389090547\t6.690000\n1389091147\t6.750000\n1389091748\t7.060000\n1389092348\t7.190000\n1389092949\t7.250000\n1389093549\t7.250000\n1389094150\t7.440000\n1389094751\t7.440000\n1389095351\t7.500000\n1389095967\t7.560000\n1389096567\t7.500000\n1389097168\t7.560000\n1389097768\t7.440000\n1389098369\t7.440000\n1389098969\t7.440000\n1389099570\t7.500000\n1389100170\t7.560000\n1389100771\t7.500000\n1389101372\t7.380000\n1389101972\t7.380000\n1389102573\t7.440000\n1389103173\t7.500000\n1389103774\t7.380000\n1389104374\t7.190000\n1389104975\t7.190000\n1389105575\t7.190000\n1389106176\t7.190000\n1389106777\t7.190000\n1389107377\t7.120000\n1389107978\t7.060000\n1389108578\t7.190000\n1389109179\t7.250000\n1389109779\t7.250000\n1389110380\t7.190000\n1389110980\t7.310000\n1389111581\t7.380000\n1389112181\t7.380000\n1389112782\t7.250000\n1389113383\t7.250000\n1389113983\t7.060000\n1389114584\t7.000000\n1389115184\t6.940000\n1389115785\t7.000000\n1389116385\t7.000000\n1389116986\t6.940000\n1389117586\t6.810000\n1389118202\t6.810000\n1389118803\t6.750000\n1389119403\t6.750000\n1389120004\t6.750000\n1389120604\t6.880000\n1389121205\t6.880000\n1389121805\t6.880000\n1389122406\t6.940000\n1389123007\t7.000000\n1389123607\t7.000000\n1389124208\t7.060000\n1389124808\t7.000000\n1389125409\t7.000000\n1389126009\t6.940000\n1389126610\t6.940000\n1389127210\t6.940000\n1389127811\t6.940000\n1389128412\t6.940000\n1389129012\t6.940000\n1389129613\t7.000000\n1389130213\t7.000000\n1389130814\t7.000000\n1389131414\t6.940000\n1389132015\t6.940000\n1389132615\t6.940000\n1389133216\t7.000000\n1389133816\t6.940000\n1389134417\t7.000000\n1389135018\t7.000000\n1389135618\t6.880000\n1389136219\t6.810000\n1389136819\t6.810000\n1389137420\t6.750000\n1389138035\t6.750000\n1389138636\t6.750000\n1389139236\t6.750000\n1389139837\t6.750000\n1389140438\t6.810000\n1389141038\t6.810000\n1389141639\t6.750000\n1389142239\t6.750000\n1389142840\t6.750000\n1389143440\t6.810000\n1389144041\t6.750000\n1389144641\t6.690000\n1389145242\t6.500000\n1389145842\t6.380000\n1389146443\t6.250000\n1389147044\t6.120000\n1389147644\t6.000000\n1389148245\t5.940000\n1389148845\t5.880000\n1389149446\t5.880000\n1389150046\t5.810000\n1389150647\t5.810000\n1389151247\t5.750000\n1389151848\t5.750000\n1389152449\t5.750000\n1389153049\t5.810000\n1389153650\t5.750000\n1389154250\t5.810000\n1389154851\t5.810000\n1389155451\t5.750000\n1389156052\t5.810000\n1389156652\t5.750000\n1389157253\t5.810000\n1389157854\t5.940000\n1389158469\t6.060000\n1389159070\t6.060000\n1389159670\t6.120000\n1389160271\t6.120000\n1389160871\t6.120000\n1389161472\t6.120000\n1389162072\t6.120000\n1389162673\t6.060000\n1389163273\t6.000000\n1389163874\t6.000000\n1389164474\t6.060000\n1389165075\t6.060000\n1389165676\t6.120000\n1389166276\t6.060000\n1389166877\t6.060000\n1389167477\t6.120000\n1389168078\t6.060000\n1389168678\t6.120000\n1389169279\t6.060000\n1389169879\t6.120000\n1389170480\t6.250000\n1389171080\t6.310000\n1389171681\t6.380000\n1389172282\t6.380000\n1389172882\t6.560000\n1389173483\t6.690000\n1389174083\t6.750000\n1389174684\t6.880000\n1389175284\t6.750000\n1389175885\t6.810000\n1389176485\t6.810000\n1389177086\t6.880000\n1389177702\t7.000000\n1389178302\t7.120000\n1389178903\t7.120000\n1389179503\t7.190000\n1389180104\t7.250000\n1389180704\t7.120000\n1389181305\t7.060000\n1389181905\t7.060000\n1389182506\t7.060000\n1389183106\t7.060000\n1389183707\t7.000000\n1389184308\t7.000000\n1389184908\t7.060000\n1389185509\t7.120000\n1389186109\t7.060000\n1389186710\t7.060000\n1389187310\t7.060000\n1389187911\t7.060000\n1389188511\t7.060000\n1389189112\t7.060000\n1389189712\t7.000000\n1389190313\t7.000000\n1389190914\t6.940000\n1389191514\t6.880000\n1389192115\t6.810000\n1389192715\t6.810000\n1389193316\t6.810000\n1389193916\t6.810000\n1389194517\t6.810000\n1389195117\t6.810000\n1389195718\t6.810000\n1389196334\t6.810000\n1389196934\t6.810000\n1389197535\t6.880000\n1389198135\t6.880000\n1389198736\t6.880000\n1389199336\t6.940000\n1389199937\t7.000000\n1389200537\t6.940000\n1389201138\t7.000000\n1389201738\t7.000000\n1389202339\t7.060000\n1389202940\t7.120000\n1389203540\t7.060000\n1389204141\t7.060000\n1389204741\t7.060000\n1389205342\t7.120000\n1389205942\t7.120000\n1389206543\t7.190000\n1389207144\t7.190000\n1389207744\t7.190000\n1389208345\t7.190000\n1389208945\t7.250000\n1389209546\t7.190000\n1389210146\t7.190000\n1389210747\t7.190000\n1389211347\t7.250000\n1389211948\t7.250000\n1389212549\t7.190000\n1389213149\t7.190000\n1389213750\t7.190000\n1389214350\t7.190000\n1389214966\t7.120000\n1389215566\t7.060000\n1389216167\t7.060000\n1389216767\t7.120000\n1389217368\t7.120000\n1389217968\t7.120000\n1389218569\t7.120000\n1389219169\t7.120000\n1389219770\t7.190000\n1389220371\t7.060000\n1389220971\t7.060000\n1389221572\t7.120000\n1389222172\t7.060000\n1389222773\t7.120000\n1389223373\t7.060000\n1389223974\t7.060000\n1389224574\t7.120000\n1389225175\t7.060000\n1389225776\t7.060000\n1389226376\t7.000000\n1389226977\t7.000000\n1389227577\t6.940000\n1389228178\t6.940000\n1389228778\t6.880000\n1389229379\t6.810000\n1389229979\t6.810000\n1389230580\t6.810000\n1389231181\t6.880000\n1389231781\t6.810000\n1389232382\t6.810000\n1389232982\t6.750000\n1389233583\t6.750000\n1389234198\t6.690000\n1389234799\t6.690000\n1389235399\t6.750000\n1389236000\t6.750000\n1389236600\t6.810000\n1389237201\t6.810000\n1389237802\t6.750000\n1389238402\t6.750000\n1389239003\t6.690000\n1389239603\t6.690000\n1389240204\t6.690000\n1389240804\t6.620000\n1389241405\t6.560000\n1389242005\t6.500000\n1389242606\t6.560000\n1389243206\t6.560000\n1389243807\t6.500000\n1389244408\t6.500000\n1389245008\t6.500000\n1389245609\t6.500000\n1389246209\t6.440000\n1389246810\t6.500000\n1389247410\t6.560000\n1389248011\t6.560000\n1389248611\t6.560000\n1389249212\t6.560000\n1389249812\t6.560000\n1389250413\t6.620000\n1389251013\t6.560000\n1389251614\t6.620000\n1389252229\t6.620000\n1389252830\t6.560000\n1389253431\t6.620000\n1389254031\t6.620000\n1389254632\t6.620000\n1389255232\t6.560000\n1389255833\t6.560000\n1389256433\t6.500000\n1389257034\t6.500000\n1389257634\t6.500000\n1389258235\t6.500000\n1389258835\t6.560000\n1389259436\t6.560000\n1389260036\t6.560000\n1389260637\t6.620000\n1389261238\t6.690000\n1389261838\t6.690000\n1389262439\t6.620000\n1389263039\t6.690000\n1389263640\t6.750000\n1389264240\t6.750000\n1389264841\t6.690000\n1389265441\t6.690000\n1389266042\t6.690000\n1389266642\t6.620000\n1389267243\t6.620000\n1389267843\t6.620000\n1389268444\t6.620000\n1389269044\t6.620000\n1389269645\t6.620000\n1389270246\t6.620000\n1389270861\t6.500000\n1389271462\t6.440000\n1389272062\t6.440000\n1389272663\t6.380000\n1389273263\t6.380000\n1389273864\t6.310000\n1389274465\t6.310000\n1389275065\t6.250000\n1389275666\t6.190000\n1389276266\t6.120000\n1389276867\t6.060000\n1389277467\t6.060000\n1389278068\t6.000000\n1389278668\t5.940000\n1389279269\t5.940000\n1389279869\t5.880000\n1389280470\t5.810000\n1389281070\t5.810000\n1389281671\t5.750000\n1389282272\t5.750000\n1389282872\t5.690000\n1389283473\t5.620000\n1389284073\t5.620000\n1389284674\t5.620000\n1389285274\t5.560000\n1389285875\t5.500000\n1389286475\t5.500000\n1389287076\t5.440000\n1389287676\t5.380000\n1389288277\t5.310000\n1389288877\t5.310000\n1389289478\t5.250000\n1389290079\t5.190000\n1389290694\t5.120000\n1389291295\t5.000000\n1389291895\t4.940000\n1389292496\t4.880000\n1389293096\t4.750000\n1389293697\t4.690000\n1389294297\t4.620000\n1389294898\t4.560000\n1389295499\t4.440000\n1389296099\t4.310000\n1389296700\t4.190000\n1389297300\t4.060000\n1389297901\t4.000000\n1389298501\t3.940000\n1389299102\t3.750000\n1389299702\t3.620000\n1389300303\t3.500000\n1389300904\t3.440000\n1389301504\t3.310000\n1389302105\t3.190000\n1389302705\t3.250000\n1389303306\t3.060000\n1389303906\t3.000000\n1389304507\t3.060000\n1389305107\t2.880000\n1389305708\t2.940000\n1389306309\t2.810000\n1389306909\t2.750000\n1389307510\t2.690000\n1389308110\t2.750000\n1389308711\t2.750000\n1389309311\t2.810000\n1389309927\t2.810000\n1389310527\t2.750000\n1389311128\t2.880000\n1389311728\t2.940000\n1389312329\t3.000000\n1389312930\t3.060000\n1389313530\t2.940000\n1389314131\t2.620000\n1389314731\t2.440000\n1389315332\t2.440000\n1389315932\t2.310000\n1389316533\t2.060000\n1389317133\t2.060000\n1389317734\t2.000000\n1389318335\t1.940000\n1389318935\t1.880000\n1389319536\t1.810000\n1389320136\t1.750000\n1389320737\t1.690000\n1389321337\t1.690000\n1389321938\t1.620000\n1389322538\t1.620000\n1389323139\t1.560000\n1389323739\t1.560000\n1389324340\t1.620000\n1389324940\t1.690000\n1389325541\t1.690000\n1389326142\t1.690000\n1389326742\t1.750000\n1389327358\t1.750000\n1389327958\t1.810000\n1389328559\t1.810000\n1389329159\t1.810000\n1389329760\t1.750000\n1389330361\t1.690000\n1389330961\t1.560000\n1389331562\t1.500000\n1389332162\t1.440000\n1389332763\t1.310000\n1389333363\t1.190000\n1389333964\t0.940000\n1389334564\t0.880000\n1389335165\t0.810000\n1389335765\t0.560000\n1389336366\t0.560000\n1389336967\t0.440000\n1389337567\t0.250000\n1389338168\t0.190000\n1389338768\t0.120000\n1389339369\t0.000000\n1389339969\t0.060000\n1389340570\t-0.120000\n1389341170\t-0.120000\n1389341771\t-0.250000\n1389342372\t-0.380000\n1389342972\t-0.560000\n1389343573\t-0.560000\n1389344173\t-0.620000\n1389344774\t-0.690000\n1389345374\t-0.750000\n1389345990\t-0.750000\n1389346590\t-0.750000\n1389347191\t-0.810000\n1389347792\t-0.750000\n1389348392\t-0.940000\n1389348993\t-0.880000\n1389349593\t-0.880000\n1389350194\t-0.940000\n1389350794\t-1.000000\n1389351395\t-1.120000\n1389351995\t-1.120000\n1389352596\t-1.060000\n1389353197\t-1.250000\n1389353797\t-1.310000\n1389354398\t-1.380000\n1389354998\t-1.500000\n1389355599\t-1.440000\n1389356199\t-1.380000\n1389356800\t-1.440000\n1389357400\t-1.440000\n1389358001\t-1.500000\n1389358601\t-1.380000\n1389359202\t-1.440000\n1389359802\t-1.310000\n1389360403\t-1.380000\n1389361004\t-1.380000\n1389361604\t-1.560000\n1389362205\t-1.620000\n1389362805\t-1.620000\n1389363406\t-1.620000\n1389364006\t-1.620000\n1389364607\t-1.620000\n1389365222\t-1.750000\n1389365823\t-1.750000\n1389366423\t-1.880000\n1389367024\t-1.810000\n1389367624\t-1.560000\n1389368225\t-1.880000\n1389368826\t-1.750000\n1389369426\t-1.750000\n1389370027\t-1.750000\n1389370627\t-1.880000\n1389371228\t-1.810000\n1389371828\t-1.880000\n1389372429\t-1.880000\n1389373029\t-1.880000\n1389373630\t-1.940000\n1389374231\t-1.940000\n1389374831\t-2.000000\n1389375432\t-2.000000\n1389376032\t-1.940000\n1389376633\t-1.810000\n1389377233\t-1.810000\n1389377834\t-1.810000\n1389378434\t-1.690000\n1389379035\t-1.690000\n1389379636\t-1.620000\n1389380236\t-1.620000\n1389380837\t-1.810000\n1389381452\t-1.810000\n1389382053\t-2.000000\n1389382653\t-1.810000\n1389383254\t-1.880000\n1389383854\t-1.940000\n1389384455\t-1.750000\n1389385056\t-1.500000\n1389385656\t-1.380000\n1389386257\t-1.310000\n1389386857\t-1.560000\n1389387458\t-1.250000\n1389388058\t-1.380000\n1389388659\t-1.310000\n1389389259\t-1.310000\n1389389860\t-1.440000\n1389390461\t-1.500000\n1389391061\t-1.380000\n1389391662\t-1.440000\n1389392262\t-1.380000\n1389392863\t-1.440000\n1389393463\t-1.380000\n1389394064\t-1.440000\n1389394664\t-1.310000\n1389395265\t-1.500000\n1389395865\t-1.380000\n1389396466\t-1.500000\n1389397067\t-1.560000\n1389397667\t-1.560000\n1389398283\t-1.560000\n1389398883\t-1.500000\n1389399484\t-1.500000\n1389400084\t-1.380000\n1389400685\t-1.500000\n1389401285\t-1.440000\n1389401886\t-1.500000\n1389402486\t-1.560000\n1389403087\t-1.620000\n1389403688\t-1.500000\n1389404288\t-1.500000\n1389404889\t-1.380000\n1389405489\t-1.380000\n1389406090\t-1.440000\n1389406690\t-1.380000\n1389407291\t-1.310000\n1389407891\t-1.440000\n1389408492\t-1.440000\n1389409093\t-1.380000\n1389409693\t-1.380000\n1389410294\t-1.310000\n1389410894\t-1.310000\n1389411495\t-1.310000\n1389412095\t-1.380000\n1389412696\t-1.440000\n1389413296\t-1.310000\n1389413897\t-1.380000\n1389414497\t-1.440000\n1389415098\t-1.440000\n1389415699\t-1.560000\n1389416299\t-1.620000\n1389416900\t-1.620000\n1389417515\t-1.620000\n1389418116\t-1.620000\n1389418716\t-1.810000\n1389419317\t-1.810000\n1389419917\t-1.940000\n1389420518\t-2.060000\n1389421119\t-2.120000\n1389421719\t-2.190000\n1389422320\t-2.120000\n1389422920\t-2.190000\n1389423521\t-2.250000\n1389424121\t-2.380000\n1389424722\t-2.440000\n1389425322\t-2.440000\n1389425923\t-2.620000\n1389426524\t-2.690000\n1389427124\t-2.880000\n1389427725\t-3.000000\n1389428325\t-2.940000\n1389428926\t-2.940000\n1389429526\t-3.060000\n1389430127\t-2.940000\n1389430727\t-2.940000\n1389431328\t-3.000000\n1389431928\t-3.060000\n1389432529\t-3.060000\n1389433130\t-3.120000\n1389433730\t-3.120000\n1389434331\t-3.250000\n1389434946\t-3.190000\n1389435547\t-3.060000\n1389436147\t-3.120000\n1389436748\t-3.190000\n1389437348\t-3.060000\n1389437949\t-2.940000\n1389438549\t-2.940000\n1389439150\t-2.880000\n1389439751\t-2.880000\n1389440351\t-2.620000\n1389440952\t-2.620000\n1389441552\t-2.560000\n1389442153\t-2.500000\n1389442753\t-2.500000\n1389443354\t-2.560000\n1389443954\t-2.750000\n1389444555\t-2.750000\n1389445156\t-2.940000\n1389445756\t-3.120000\n1389446357\t-3.190000\n1389446957\t-3.190000\n1389447558\t-3.250000\n1389448158\t-3.310000\n1389448759\t-3.310000\n1389449359\t-3.310000\n1389449960\t-3.250000\n1389450561\t-3.250000\n1389451161\t-3.310000\n1389451762\t-3.380000\n1389452362\t-3.440000\n1389452963\t-3.440000\n1389453563\t-3.500000\n1389454164\t-3.500000\n1389454779\t-3.500000\n1389455380\t-3.620000\n1389455980\t-3.620000\n1389456581\t-3.560000\n1389457182\t-3.560000\n1389457782\t-3.560000\n1389458383\t-3.440000\n1389458983\t-3.440000\n1389459584\t-3.310000\n1389460184\t-3.310000\n1389460785\t-3.380000\n1389461386\t-3.380000\n1389461986\t-3.440000\n1389462587\t-3.440000\n1389463187\t-3.380000\n1389463788\t-3.500000\n1389464388\t-3.500000\n1389464989\t-3.560000\n1389465589\t-3.620000\n1389466190\t-3.620000\n1389466790\t-3.620000\n1389467391\t-3.620000\n1389467991\t-3.880000\n1389468592\t-3.810000\n1389469193\t-3.810000\n1389469793\t-3.810000\n1389470394\t-3.940000\n1389470994\t-3.940000\n1389471610\t-4.000000\n1389472210\t-3.940000\n1389472811\t-3.940000\n1389473411\t-4.060000\n1389474012\t-4.120000\n1389474613\t-4.060000\n1389475213\t-4.120000\n1389475814\t-4.380000\n1389476414\t-4.250000\n1389477015\t-4.190000\n1389477615\t-4.250000\n1389478216\t-4.310000\n1389478817\t-4.500000\n1389479417\t-4.500000\n1389480018\t-4.440000\n1389480618\t-4.560000\n1389481219\t-4.440000\n1389481819\t-4.440000\n1389482420\t-4.440000\n1389483020\t-4.440000\n1389483621\t-4.380000\n1389484221\t-4.810000\n1389484822\t-4.750000\n1389485423\t-4.500000\n1389486023\t-4.310000\n1389486624\t-4.380000\n1389487224\t-4.310000\n1389487825\t-4.560000\n1389488425\t-4.560000\n1389489026\t-4.310000\n1389489626\t-4.560000\n1389490227\t-4.690000\n1389490828\t-4.560000\n1389491443\t-4.620000\n1389492044\t-4.620000\n1389492644\t-4.500000\n1389493245\t-4.560000\n1389493845\t-4.440000\n1389494446\t-4.560000\n1389495047\t-5.190000\n1389495647\t-5.380000\n1389496248\t-5.500000\n1389496848\t-5.620000\n1389497449\t-5.380000\n1389498049\t-5.060000\n1389498650\t-5.120000\n1389499250\t-4.810000\n1389499851\t-4.750000\n1389500452\t-5.000000\n1389501052\t-5.620000\n1389501653\t-5.810000\n1389502253\t-5.620000\n1389502854\t-5.310000\n1389503454\t-5.440000\n1389504055\t-5.690000\n1389504655\t-5.310000\n1389505256\t-5.250000\n1389505856\t-5.380000\n1389506457\t-5.250000\n1389507058\t-5.250000\n1389507658\t-5.120000\n1389508259\t-5.190000\n1389508859\t-5.120000\n1389509460\t-5.190000\n1389510060\t-5.440000\n1389510661\t-6.060000\n1389511261\t-6.120000\n1389511862\t-6.310000\n1389512463\t-6.250000\n1389513078\t-6.060000\n1389513679\t-6.310000\n1389514279\t-6.120000\n1389514880\t-6.120000\n1389515480\t-6.620000\n1389516081\t-6.560000\n1389516681\t-6.440000\n1389517282\t-6.000000\n1389517882\t-5.750000\n1389518483\t-5.620000\n1389519083\t-5.560000\n1389519684\t-5.500000\n1389520285\t-6.250000\n1389520885\t-6.190000\n1389521486\t-6.120000\n1389522086\t-6.310000\n1389522687\t-6.380000\n1389523287\t-6.560000\n1389523888\t-6.620000\n1389524488\t-7.060000\n1389525089\t-7.190000\n1389525690\t-7.190000\n1389526290\t-7.190000\n1389526891\t-7.190000\n1389527491\t-7.250000\n1389528092\t-7.120000\n1389528692\t-7.120000\n1389529293\t-7.380000\n1389529893\t-7.560000\n1389530494\t-7.620000\n1389531095\t-7.500000\n1389531695\t-7.440000\n1389532296\t-7.250000\n1389532896\t-7.500000\n1389533497\t-7.500000\n1389534112\t-7.500000\n1389534713\t-7.810000\n1389535313\t-7.940000\n1389535914\t-8.120000\n1389536515\t-8.250000\n1389537115\t-8.380000\n1389537716\t-8.380000\n1389538316\t-8.380000\n1389538917\t-8.310000\n1389539517\t-8.250000\n1389540118\t-8.310000\n1389540718\t-8.250000\n1389541319\t-8.250000\n1389541920\t-8.250000\n1389542520\t-8.310000\n1389543121\t-8.380000\n1389543721\t-8.310000\n1389544322\t-8.310000\n1389544922\t-8.250000\n1389545523\t-8.250000\n1389546123\t-8.310000\n1389546724\t-8.380000\n1389547324\t-8.620000\n1389547925\t-8.750000\n1389548526\t-8.940000\n1389549126\t-9.120000\n1389549727\t-9.380000\n1389550327\t-9.500000\n1389550928\t-9.560000\n1389551528\t-9.620000\n1389552129\t-9.690000\n1389552729\t-9.880000\n1389553330\t-9.750000\n1389553945\t-9.750000\n1389554546\t-10.120000\n1389555147\t-10.120000\n1389555747\t-10.190000\n1389556348\t-10.250000\n1389556948\t-10.380000\n1389557549\t-10.500000\n1389558149\t-10.500000\n1389558750\t-10.560000\n1389559350\t-10.560000\n1389559951\t-10.560000\n1389560552\t-10.750000\n1389561152\t-10.690000\n1389561753\t-11.000000\n1389562353\t-11.250000\n1389562954\t-11.500000\n1389563554\t-11.620000\n1389564155\t-11.810000\n1389564755\t-11.880000\n1389565356\t-12.000000\n1389565956\t-12.190000\n1389566557\t-12.250000\n1389567158\t-12.690000\n1389567758\t-12.810000\n1389568359\t-13.000000\n1389568959\t-12.250000\n1389569560\t-11.940000\n1389570160\t-12.000000\n1389570761\t-12.690000\n1389571361\t-12.880000\n1389571962\t-13.190000\n1389572563\t-13.380000\n1389573178\t-13.880000\n1389573779\t-13.880000\n1389574379\t-13.940000\n1389574980\t-13.810000\n1389575580\t-13.500000\n1389576181\t-13.750000\n1389576781\t-13.690000\n1389577382\t-14.000000\n1389577982\t-13.880000\n1389578583\t-13.560000\n1389579184\t-13.250000\n1389579784\t-13.750000\n1389580385\t-15.310000\n1389580985\t-14.380000\n1389581586\t-13.810000\n1389582186\t-13.620000\n1389582787\t-14.810000\n1389583387\t-14.620000\n1389583988\t-14.500000\n1389584589\t-14.310000\n1389585189\t-14.810000\n1389585790\t-15.000000\n1389586390\t-15.000000\n1389586991\t-14.880000\n1389587591\t-15.250000\n1389588192\t-15.190000\n1389588792\t-15.120000\n1389589393\t-15.250000\n1389589994\t-15.310000\n1389590594\t-15.120000\n1389591195\t-15.120000\n1389591810\t-15.060000\n1389592411\t-14.440000\n1389593011\t-14.380000\n1389593612\t-14.750000\n1389594212\t-14.380000\n1389594813\t-14.440000\n1389595413\t-14.440000\n1389596014\t-14.620000\n1389596615\t-14.440000\n1389597215\t-14.750000\n1389597816\t-14.810000\n1389598416\t-15.120000\n1389599017\t-14.560000\n1389599617\t-14.440000\n1389600218\t-15.500000\n1389600818\t-15.120000\n1389601419\t-15.060000\n1389602019\t-14.880000\n1389602620\t-14.380000\n1389603221\t-13.810000\n1389603821\t-14.310000\n1389604422\t-13.750000\n1389605022\t-13.380000\n1389605623\t-13.560000\n1389606223\t-12.940000\n1389606824\t-13.500000\n1389607425\t-12.810000\n1389608025\t-13.310000\n1389608626\t-13.690000\n1389609226\t-13.750000\n1389609827\t-13.120000\n1389610427\t-12.560000\n1389611043\t-12.310000\n1389611643\t-11.750000\n1389612244\t-11.190000\n1389612844\t-10.940000\n1389613445\t-10.690000\n1389614046\t-10.560000\n1389614646\t-10.560000\n1389615247\t-10.940000\n1389615847\t-10.380000\n1389616448\t-10.190000\n1389617048\t-10.380000\n1389617649\t-10.310000\n1389618249\t-10.190000\n1389618850\t-10.250000\n1389619450\t-10.380000\n1389620051\t-10.440000\n1389620652\t-10.380000\n1389621252\t-10.380000\n1389621853\t-10.380000\n1389622453\t-10.560000\n1389623054\t-10.560000\n1389623654\t-10.690000\n1389624255\t-10.620000\n1389624855\t-10.380000\n1389625456\t-10.250000\n1389626056\t-10.250000\n1389626657\t-10.250000\n1389627258\t-10.120000\n1389627858\t-9.940000\n1389628459\t-9.750000\n1389629059\t-9.810000\n1389629660\t-9.750000\n1389630260\t-9.690000\n1389630876\t-9.500000\n1389631476\t-8.940000\n1389632077\t-8.560000\n1389632678\t-8.380000\n1389633278\t-8.250000\n1389633879\t-8.190000\n1389634479\t-8.120000\n1389635080\t-8.060000\n1389635680\t-8.000000\n1389636281\t-8.060000\n1389636881\t-7.940000\n1389637482\t-7.810000\n1389638083\t-7.690000\n1389638683\t-7.690000\n1389639284\t-7.620000\n1389639884\t-7.560000\n1389640485\t-7.500000\n1389641085\t-7.440000\n1389641686\t-7.380000\n1389642286\t-7.380000\n1389642887\t-7.250000\n1389643487\t-7.250000\n1389644088\t-7.250000\n1389644689\t-7.190000\n1389645289\t-7.120000\n1389645890\t-7.120000\n1389646490\t-7.060000\n1389647091\t-7.000000\n1389647691\t-6.940000\n1389648292\t-6.880000\n1389648892\t-6.810000\n1389649508\t-6.810000\n1389650109\t-6.750000\n1389650709\t-6.810000\n1389651310\t-6.690000\n1389651910\t-6.690000\n1389652511\t-6.690000\n1389653111\t-6.690000\n1389653712\t-6.690000\n1389654312\t-6.620000\n1389654913\t-6.560000\n1389655514\t-6.560000\n1389656114\t-6.560000\n1389656715\t-6.500000\n1389657315\t-6.500000\n1389657916\t-6.380000\n1389658516\t-6.380000\n1389659117\t-6.380000\n1389659717\t-6.250000\n1389660318\t-6.190000\n1389660919\t-6.120000\n1389661519\t-6.120000\n1389662120\t-6.120000\n1389662720\t-6.190000\n1389663321\t-6.120000\n1389663921\t-6.190000\n1389664522\t-6.190000\n1389665122\t-6.190000\n1389665723\t-6.190000\n1389666323\t-6.120000\n1389666924\t-6.190000\n1389667524\t-6.190000\n1389668125\t-6.190000\n1389668741\t-6.120000\n1389669341\t-6.120000\n1389669942\t-6.060000\n1389670542\t-6.000000\n1389671143\t-6.000000\n1389671743\t-5.940000\n1389672344\t-5.940000\n1389672944\t-5.940000\n1389673545\t-5.940000\n1389674146\t-5.880000\n1389674746\t-5.880000\n1389675347\t-5.880000\n1389675947\t-5.880000\n1389676548\t-5.880000\n1389677148\t-5.810000\n1389677749\t-5.750000\n1389678349\t-5.750000\n1389678950\t-5.690000\n1389679551\t-5.560000\n1389680151\t-5.500000\n1389680752\t-5.380000\n1389681352\t-5.310000\n1389681953\t-5.250000\n1389682553\t-5.250000\n1389683154\t-5.310000\n1389683754\t-5.310000\n1389684355\t-5.310000\n1389684956\t-5.250000\n1389685556\t-5.120000\n1389686157\t-5.060000\n1389686757\t-5.060000\n1389687358\t-4.940000\n1389687958\t-4.880000\n1389688574\t-4.750000\n1389689174\t-4.690000\n1389689775\t-4.690000\n1389690376\t-4.620000\n1389690976\t-4.560000\n1389691577\t-4.560000\n1389692177\t-4.500000\n1389692778\t-4.440000\n1389693378\t-4.380000\n1389693979\t-4.380000\n1389694579\t-4.380000\n1389695180\t-4.440000\n1389695781\t-4.440000\n1389696381\t-4.440000\n1389696982\t-4.440000\n1389697582\t-4.440000\n1389701067\t-4.310000\n1389701668\t-4.380000\n1389702269\t-4.380000\n1389702869\t-4.380000\n1389703470\t-4.380000\n1389704070\t-4.380000\n1389704671\t-4.310000\n1389705271\t-4.310000\n1389705872\t-4.250000\n1389706472\t-4.250000\n1389707073\t-4.250000\n1389707673\t-4.310000\n1389708274\t-4.310000\n1389708874\t-4.310000\n1389709475\t-4.380000\n1389710075\t-4.380000\n1389710676\t-4.380000\n1389711277\t-4.380000\n1389711877\t-4.380000\n1389712478\t-4.380000\n1389713078\t-4.380000\n1389713679\t-4.380000\n1389714279\t-4.380000\n1389714880\t-4.440000\n1389715480\t-4.440000\n1389716081\t-4.440000\n1389716682\t-4.500000\n1389717282\t-4.500000\n1389717883\t-4.500000\n1389718483\t-4.440000\n1389719084\t-4.500000\n1389719684\t-4.440000\n1389720285\t-4.440000\n1389720885\t-4.440000\n1389721486\t-4.440000\n1389722086\t-4.380000\n1389722702\t-4.380000\n1389723303\t-4.380000\n1389723903\t-4.380000\n1389724504\t-4.440000\n1389725104\t-4.500000\n1389725705\t-4.440000\n1389726305\t-4.500000\n1389726906\t-4.440000\n1389727506\t-4.440000\n1389728107\t-4.380000\n1389728708\t-4.310000\n1389729308\t-4.310000\n1389729909\t-4.310000\n1389730509\t-4.310000\n1389731110\t-4.310000\n1389731710\t-4.310000\n1389732311\t-4.310000\n1389732912\t-4.310000\n1389733512\t-4.380000\n1389734113\t-4.380000\n1389734713\t-4.380000\n1389735314\t-4.380000\n1389735914\t-4.380000\n1389736515\t-4.380000\n1389737115\t-4.380000\n1389737716\t-4.440000\n1389738316\t-4.440000\n1389738917\t-4.440000\n1389739518\t-4.500000\n1389740118\t-4.500000\n1389740719\t-4.500000\n1389741319\t-4.500000\n1389741920\t-4.500000\n1389742520\t-4.440000\n1389743121\t-4.380000\n1389743721\t-4.310000\n1389744337\t-4.310000\n1389744937\t-4.380000\n1389745538\t-4.380000\n1389746138\t-4.500000\n1389746739\t-4.500000\n1389747340\t-4.560000\n1389747940\t-4.560000\n1389748541\t-4.560000\n1389749141\t-4.560000\n1389749742\t-4.560000\n1389750342\t-4.560000\n1389750943\t-4.560000\n1389751543\t-4.560000\n1389752144\t-4.560000\n1389752745\t-4.500000\n1389753345\t-4.500000\n1389753946\t-4.500000\n1389754546\t-4.500000\n1389755147\t-4.560000\n1389755747\t-4.560000\n1389756348\t-4.560000\n1389756948\t-4.690000\n1389757549\t-4.690000\n1389758149\t-4.750000\n1389758750\t-4.690000\n1389759351\t-4.750000\n1389759951\t-4.750000\n1389760552\t-4.750000\n1389761152\t-4.750000\n1389761753\t-4.750000\n1389762353\t-4.810000\n1389762954\t-4.810000\n1389763554\t-4.810000\n1389764155\t-4.810000\n1389764771\t-4.880000\n1389765371\t-4.810000\n1389765972\t-4.810000\n1389766572\t-4.750000\n1389767173\t-4.810000\n1389767773\t-4.810000\n1389768374\t-4.880000\n1389768974\t-4.880000\n1389769575\t-4.940000\n1389770175\t-4.940000\n1389770776\t-4.940000\n1389771376\t-4.880000\n1389771977\t-4.810000\n1389772578\t-4.750000\n1389773178\t-4.690000\n1389773779\t-4.620000\n1389774379\t-4.560000\n1389774980\t-4.500000\n1389775580\t-4.380000\n1389776181\t-4.310000\n1389776781\t-4.250000\n1389777382\t-4.120000\n1389777983\t-4.120000\n1389778583\t-4.120000\n1389779184\t-4.000000\n1389779784\t-4.000000\n1389780385\t-3.810000\n1389780985\t-3.750000\n1389781586\t-3.750000\n1389782186\t-3.750000\n1389782802\t-3.750000\n1389783403\t-3.810000\n1389784003\t-3.940000\n1389784604\t-3.880000\n1389785204\t-3.880000\n1389785805\t-3.940000\n1389786405\t-4.000000\n1389787006\t-4.000000\n1389787606\t-4.060000\n1389788207\t-4.120000\n1389788808\t-4.190000\n1389789408\t-4.190000\n1389790009\t-4.190000\n1389790609\t-4.190000\n1389791210\t-4.310000\n1389791810\t-4.380000\n1389792411\t-4.440000\n1389793011\t-4.380000\n1389793612\t-4.380000\n1389794213\t-4.380000\n1389794813\t-4.500000\n1389795414\t-4.560000\n1389796014\t-4.620000\n1389796615\t-4.620000\n1389797215\t-4.620000\n1389797816\t-4.690000\n1389798416\t-4.690000\n1389799017\t-4.620000\n1389799618\t-4.620000\n1389800218\t-4.500000\n1389800819\t-4.440000\n1389801419\t-4.440000\n1389802035\t-4.440000\n1389802635\t-4.500000\n1389803236\t-4.440000\n1389803837\t-4.440000\n1389804437\t-4.380000\n1389805038\t-4.380000\n1389805638\t-4.380000\n1389806239\t-4.310000\n1389806839\t-4.380000\n1389807440\t-4.380000\n1389808040\t-4.380000\n1389808641\t-4.310000\n1389809242\t-4.310000\n1389809842\t-4.250000\n1389810443\t-4.250000\n1389811043\t-4.190000\n1389811644\t-4.190000\n1389812244\t-4.190000\n1389812845\t-4.190000\n1389813445\t-4.120000\n1389814046\t-4.120000\n1389814647\t-4.120000\n1389815247\t-4.060000\n1389815848\t-4.060000\n1389816448\t-4.120000\n1389817049\t-4.060000\n1389817649\t-4.120000\n1389818250\t-4.120000\n1389818850\t-4.120000\n1389819451\t-4.190000\n1389820052\t-4.190000\n1389820652\t-4.190000\n1389821253\t-4.190000\n1389821868\t-4.190000\n1389822469\t-4.190000\n1389823069\t-4.190000\n1389823670\t-4.190000\n1389824270\t-4.190000\n1389824871\t-4.250000\n1389825472\t-4.250000\n1389826072\t-4.310000\n1389826673\t-4.310000\n1389827273\t-4.310000\n1389827874\t-4.250000\n1389828474\t-4.250000\n1389829075\t-4.250000\n1389829676\t-4.190000\n1389830276\t-4.250000\n1389830877\t-4.190000\n1389831477\t-4.190000\n1389832078\t-4.250000\n1389832678\t-4.190000\n1389833279\t-4.120000\n1389833879\t-4.190000\n1389834480\t-4.120000\n1389835080\t-4.060000\n1389835681\t-4.060000\n1389836281\t-4.060000\n1389836882\t-4.060000\n1389837483\t-4.000000\n1389838083\t-4.060000\n1389838684\t-4.000000\n1389839284\t-4.000000\n1389839885\t-3.940000\n1389840500\t-3.940000\n1389841101\t-3.940000\n1389841701\t-3.940000\n1389842302\t-3.940000\n1389842903\t-3.940000\n1389843503\t-3.940000\n1389844104\t-3.940000\n1389844704\t-4.000000\n1389845305\t-3.940000\n1389845905\t-4.000000\n1389846506\t-4.000000\n1389847106\t-4.000000\n1389847707\t-4.000000\n1389848308\t-4.000000\n1389848908\t-4.000000\n1389849509\t-4.000000\n1389850109\t-3.940000\n1389850710\t-3.940000\n1389851310\t-3.940000\n1389851911\t-3.880000\n1389852512\t-3.810000\n1389853112\t-3.810000\n1389853713\t-3.750000\n1389854313\t-3.690000\n1389854914\t-3.620000\n1389855514\t-3.620000\n1389856115\t-3.620000\n1389856715\t-3.690000\n1389857316\t-3.690000\n1389857917\t-3.690000\n1389858517\t-3.810000\n1389859118\t-3.810000\n1389859733\t-3.810000\n1389860334\t-3.810000\n1389860934\t-3.750000\n1389861535\t-3.620000\n1389862135\t-3.560000\n1389862736\t-3.500000\n1389863336\t-3.440000\n1389863937\t-3.190000\n1389864537\t-3.120000\n1389865138\t-2.940000\n1389865739\t-2.810000\n1389866339\t-2.690000\n1389866940\t-2.750000\n1389867540\t-2.690000\n1389868141\t-2.620000\n1389868741\t-2.560000\n1389869342\t-2.440000\n1389869942\t-2.440000\n1389870543\t-2.440000\n1389871144\t-2.440000\n1389871744\t-2.440000\n1389872345\t-2.380000\n1389872945\t-2.380000\n1389873546\t-2.440000\n1389874146\t-2.440000\n1389874747\t-2.500000\n1389875347\t-2.620000\n1389875948\t-2.560000\n1389876564\t-2.690000\n1389877164\t-3.000000\n1389877765\t-3.120000\n1389878365\t-3.250000\n1389878966\t-3.440000\n1389879566\t-3.440000\n1389880167\t-3.500000\n1389880767\t-3.690000\n1389881368\t-3.620000\n1389881968\t-3.690000\n1389882569\t-3.750000\n1389883170\t-3.810000\n1389883770\t-3.940000\n1389884371\t-4.000000\n1389884971\t-4.060000\n1389885572\t-4.000000\n1389886172\t-4.120000\n1389886773\t-4.120000\n1389887373\t-4.190000\n1389887974\t-4.190000\n1389888575\t-4.250000\n1389889175\t-4.380000\n1389889776\t-4.380000\n1389890376\t-4.560000\n1389890977\t-4.500000\n1389891577\t-4.560000\n1389892178\t-4.560000\n1389892778\t-4.620000\n1389893379\t-4.560000\n1389893995\t-4.620000\n1389894595\t-4.560000\n1389895196\t-4.500000\n1389895796\t-4.380000\n1389896397\t-4.310000\n1389896997\t-4.120000\n1389897598\t-4.060000\n1389898198\t-4.060000\n1389898799\t-4.000000\n1389899400\t-3.940000\n1389900000\t-3.810000\n1389900601\t-3.810000\n1389901201\t-3.810000\n1389901802\t-3.810000\n1389902402\t-3.750000\n1389903003\t-3.750000\n1389903603\t-3.750000\n1389904204\t-3.750000\n1389904804\t-3.750000\n1389905405\t-3.750000\n1389906006\t-3.750000\n1389906606\t-3.810000\n1389907207\t-3.810000\n1389907807\t-3.940000\n1389908408\t-4.000000\n1389909008\t-4.060000\n1389909609\t-4.120000\n1389910209\t-4.250000\n1389910810\t-4.310000\n1389911411\t-4.310000\n1389912011\t-4.440000\n1389912612\t-4.500000\n1389913212\t-4.560000\n1389913828\t-4.690000\n1389914428\t-4.810000\n1389915029\t-4.880000\n1389915629\t-5.060000\n1389916230\t-5.120000\n1389916830\t-5.120000\n1389917431\t-5.120000\n1389918031\t-5.190000\n1389918632\t-5.120000\n1389919232\t-5.120000\n1389919833\t-5.190000\n1389920433\t-5.310000\n1389921034\t-5.310000\n1389921635\t-5.440000\n1389922235\t-5.500000\n1389922836\t-5.560000\n1389923436\t-5.560000\n1389924037\t-5.690000\n1389924637\t-5.620000\n1389925238\t-5.440000\n1389925838\t-5.310000\n1389926439\t-5.250000\n1389927040\t-5.250000\n1389927640\t-5.310000\n1389928241\t-5.380000\n1389928841\t-5.500000\n1389929442\t-5.500000\n1389930042\t-5.500000\n1389930658\t-5.560000\n1389931258\t-5.560000\n1389931859\t-5.690000\n1389932459\t-5.810000\n1389933060\t-5.880000\n1389933661\t-5.810000\n1389934261\t-5.810000\n1389934862\t-5.750000\n1389935462\t-5.810000\n1389936063\t-5.810000\n1389936663\t-5.940000\n1389937264\t-5.880000\n1389937864\t-5.880000\n1389938465\t-5.880000\n1389939066\t-5.940000\n1389939666\t-6.000000\n1389940267\t-6.000000\n1389940867\t-6.120000\n1389941468\t-6.060000\n1389942068\t-6.060000\n1389942669\t-6.060000\n1389943269\t-6.120000\n1389943870\t-6.190000\n1389944471\t-6.250000\n1389945071\t-6.250000\n1389945672\t-6.310000\n1389946272\t-6.310000\n1389946873\t-6.310000\n1389947473\t-6.310000\n1389948074\t-6.250000\n1389948674\t-6.190000\n1389949275\t-6.120000\n1389949875\t-6.120000\n1389950491\t-6.060000\n1389951092\t-6.000000\n1389951692\t-5.940000\n1389952293\t-6.000000\n1389952893\t-5.940000\n1389953494\t-5.810000\n1389954094\t-5.750000\n1389954695\t-5.750000\n1389955295\t-5.940000\n1389955896\t-5.940000\n1389956496\t-5.880000\n1389957097\t-5.810000\n1389957698\t-5.750000\n1389958298\t-5.750000\n1389958899\t-5.750000\n1389959499\t-5.880000\n1389960100\t-6.120000\n1389960700\t-6.250000\n1389961301\t-6.380000\n1389961901\t-6.440000\n1389962502\t-6.560000\n1389963102\t-6.750000\n1389963703\t-6.880000\n1389964304\t-6.880000\n1389964904\t-6.940000\n1389965505\t-6.880000\n1389966105\t-6.750000\n1389966706\t-6.620000\n1389967306\t-6.620000\n1389967907\t-6.620000\n1389968508\t-6.620000\n1389969108\t-6.620000\n1389969724\t-6.620000\n1389970324\t-6.560000\n1389970925\t-6.560000\n1389971525\t-6.500000\n1389972126\t-6.500000\n1389972726\t-6.380000\n1389973327\t-6.250000\n1389973928\t-6.190000\n1389974528\t-6.120000\n1389975129\t-6.120000\n1389975729\t-6.310000\n1389976330\t-6.120000\n1389976930\t-6.120000\n1389977531\t-6.120000\n1389978131\t-6.060000\n1389978732\t-6.060000\n1389979333\t-6.060000\n1389979933\t-6.250000\n1389980534\t-6.440000\n1389981134\t-6.560000\n1389981735\t-6.620000\n1389982335\t-6.560000\n1389982936\t-6.440000\n1389983536\t-6.250000\n1389984137\t-6.250000\n1389984738\t-6.310000\n1389985338\t-6.250000\n1389985939\t-6.310000\n1389986539\t-6.190000\n1389987140\t-6.190000\n1389987755\t-6.190000\n1389988356\t-6.120000\n1389988956\t-6.060000\n1389989557\t-6.060000\n1389990158\t-6.000000\n1389990758\t-5.880000\n1389991359\t-5.690000\n1389991959\t-5.620000\n1389992560\t-5.690000\n1389993160\t-5.690000\n1389993761\t-5.690000\n1389994361\t-5.620000\n1389994962\t-5.690000\n1389995563\t-5.560000\n1389996163\t-5.440000\n1389996764\t-5.500000\n1389997364\t-5.560000\n1389997965\t-5.500000\n1389998565\t-5.560000\n1389999166\t-5.620000\n1389999766\t-5.620000\n1390000367\t-5.810000\n1390000967\t-5.880000\n1390001568\t-5.690000\n1390002169\t-5.620000\n1390002769\t-5.560000\n1390003370\t-5.560000\n1390003970\t-5.620000\n1390004571\t-5.690000\n1390005171\t-5.690000\n1390005772\t-5.750000\n1390006387\t-5.750000\n1390006988\t-5.750000\n1390007589\t-5.750000\n1390008189\t-5.750000\n1390008790\t-5.750000\n1390009390\t-5.750000\n1390009991\t-5.750000\n1390010591\t-5.750000\n1390011192\t-5.750000\n1390011793\t-5.940000\n1390012393\t-5.880000\n1390012994\t-5.750000\n1390013594\t-5.690000\n1390014195\t-5.750000\n1390014795\t-5.690000\n1390015396\t-5.620000\n1390015996\t-5.440000\n1390016597\t-5.310000\n1390017197\t-5.190000\n1390017798\t-5.190000\n1390018399\t-5.190000\n1390018999\t-5.060000\n1390019600\t-5.120000\n1390020200\t-5.060000\n1390020801\t-5.000000\n1390021401\t-5.000000\n1390022002\t-4.940000\n1390022602\t-4.880000\n1390023203\t-4.810000\n1390023803\t-4.750000\n1390024404\t-4.750000\n1390025005\t-4.750000\n1390025620\t-4.810000\n1390026221\t-4.810000\n1390026821\t-4.810000\n1390027422\t-4.810000\n1390028022\t-4.810000\n1390028623\t-4.810000\n1390029224\t-4.880000\n1390029824\t-4.880000\n1390030425\t-4.810000\n1390031025\t-4.810000\n1390031626\t-4.880000\n1390032226\t-4.880000\n1390032827\t-4.810000\n1390033427\t-4.690000\n1390034028\t-4.500000\n1390034629\t-4.500000\n1390035229\t-4.380000\n1390035830\t-4.380000\n1390036430\t-4.250000\n1390037031\t-4.250000\n1390037631\t-4.440000\n1390038232\t-4.310000\n1390038832\t-4.440000\n1390039433\t-4.440000\n1390040034\t-4.620000\n1390040634\t-4.620000\n1390041235\t-4.620000\n1390041835\t-4.690000\n1390042436\t-4.880000\n1390043036\t-5.000000\n1390043652\t-4.940000\n1390044252\t-4.880000\n1390044853\t-4.880000\n1390045453\t-4.810000\n1390046054\t-4.810000\n1390046655\t-4.690000\n1390047255\t-4.620000\n1390047856\t-4.620000\n1390048456\t-4.620000\n1390049057\t-4.500000\n1390049657\t-4.500000\n1390050258\t-4.500000\n1390050858\t-4.500000\n1390051459\t-4.500000\n1390052060\t-4.500000\n1390052660\t-4.560000\n1390053261\t-4.690000\n1390053861\t-4.940000\n1390054462\t-5.000000\n1390055062\t-5.250000\n1390055663\t-5.500000\n1390056263\t-5.560000\n1390056864\t-5.560000\n1390057465\t-5.310000\n1390058065\t-5.060000\n1390058666\t-5.250000\n1390059266\t-5.310000\n1390059867\t-5.500000\n1390060467\t-5.560000\n1390061068\t-5.620000\n1390061669\t-5.690000\n1390062269\t-5.750000\n1390062885\t-5.500000\n1390063485\t-5.380000\n1390064086\t-5.440000\n1390064686\t-5.440000\n1390065287\t-5.620000\n1390065887\t-5.810000\n1390066488\t-5.810000\n1390067089\t-5.750000\n1390067689\t-5.810000\n1390068290\t-5.750000\n1390068890\t-5.690000\n1390069491\t-5.620000\n1390070091\t-5.750000\n1390070692\t-5.560000\n1390071293\t-5.380000\n1390071893\t-5.440000\n1390072494\t-5.440000\n1390073094\t-5.380000\n1390073695\t-5.310000\n1390074295\t-5.250000\n1390074896\t-5.120000\n1390075496\t-5.000000\n1390076097\t-4.810000\n1390076698\t-4.690000\n1390077298\t-4.690000\n1390077899\t-4.750000\n1390078499\t-4.750000\n1390079100\t-4.690000\n1390079700\t-4.620000\n1390080301\t-4.560000\n1390080901\t-4.560000\n1390081502\t-4.440000\n1390082118\t-4.500000\n1390082718\t-4.440000\n1390083319\t-4.310000\n1390083919\t-4.250000\n1390084520\t-4.250000\n1390085120\t-4.190000\n1390085721\t-4.250000\n1390086322\t-4.120000\n1390086922\t-4.060000\n1390087523\t-4.060000\n1390088123\t-4.000000\n1390088724\t-3.940000\n1390089324\t-3.880000\n1390089925\t-3.940000\n1390090525\t-3.810000\n1390091126\t-3.810000\n1390091726\t-3.810000\n1390092327\t-3.750000\n1390092928\t-3.690000\n1390093528\t-3.750000\n1390094129\t-3.620000\n1390094729\t-3.620000\n1390095330\t-3.620000\n1390095930\t-3.620000\n1390096531\t-3.620000\n1390097131\t-3.560000\n1390097732\t-3.560000\n1390098332\t-3.500000\n1390098933\t-3.560000\n1390099534\t-3.500000\n1390100134\t-3.560000\n1390100735\t-3.560000\n1390101335\t-3.560000\n1390101951\t-3.500000\n1390102551\t-3.500000\n1390103152\t-3.560000\n1390103752\t-3.560000\n1390104353\t-3.500000\n1390104953\t-3.500000\n1390105554\t-3.500000\n1390106155\t-3.500000\n1390106755\t-3.500000\n1390107356\t-3.500000\n1390107956\t-3.500000\n1390108557\t-3.560000\n1390109157\t-3.560000\n1390109758\t-3.560000\n1390110358\t-3.560000\n1390110959\t-3.560000\n1390111559\t-3.620000\n1390112160\t-3.620000\n1390112761\t-3.560000\n1390113361\t-3.560000\n1390113962\t-3.560000\n1390114562\t-3.500000\n1390115163\t-3.620000\n1390115763\t-3.560000\n1390116364\t-3.560000\n1390116964\t-3.500000\n1390117565\t-3.500000\n1390118166\t-3.500000\n1390118766\t-3.440000\n1390119367\t-3.440000\n1390119967\t-3.440000\n1390120583\t-3.380000\n1390121183\t-3.310000\n1390121784\t-3.310000\n1390122384\t-3.250000\n1390122985\t-3.250000\n1390123586\t-3.190000\n1390124186\t-3.190000\n1390124787\t-3.120000\n1390125387\t-3.120000\n1390125988\t-3.120000\n1390126588\t-3.060000\n1390127189\t-3.000000\n1390127789\t-3.060000\n1390128390\t-2.940000\n1390128991\t-2.880000\n1390129591\t-2.940000\n1390130192\t-2.880000\n1390130792\t-2.810000\n1390131393\t-2.750000\n1390131993\t-2.750000\n1390132594\t-2.620000\n1390133194\t-2.690000\n1390133795\t-2.810000\n1390134395\t-2.810000\n1390134996\t-2.880000\n1390135597\t-2.810000\n1390136197\t-2.810000\n1390136798\t-2.810000\n1390137398\t-2.810000\n1390137999\t-2.880000\n1390138599\t-2.940000\n1390139200\t-2.880000\n1390139800\t-2.940000\n1390140401\t-3.000000\n1390141002\t-3.000000\n1390141602\t-3.000000\n1390142203\t-3.060000\n1390142818\t-3.060000\n1390143419\t-3.060000\n1390144019\t-3.000000\n1390144620\t-3.000000\n1390145220\t-3.000000\n1390145821\t-3.000000\n1390146422\t-3.000000\n1390147022\t-3.000000\n1390147623\t-3.000000\n1390148223\t-3.060000\n1390148824\t-3.120000\n1390149424\t-3.190000\n1390150025\t-3.190000\n1390150625\t-3.190000\n1390151226\t-3.250000\n1390151827\t-3.190000\n1390152427\t-3.190000\n1390153028\t-3.190000\n1390153628\t-3.250000\n1390154229\t-3.250000\n1390154829\t-3.310000\n1390155430\t-3.310000\n1390156030\t-3.250000\n1390156631\t-3.310000\n1390157232\t-3.310000\n1390157832\t-3.310000\n1390158433\t-3.250000\n1390159033\t-3.250000\n1390159634\t-3.250000\n1390160234\t-3.250000\n1390160835\t-3.250000\n1390161435\t-3.250000\n1390162036\t-3.250000\n1390162637\t-3.190000\n1390163252\t-3.190000\n1390163853\t-3.190000\n1390164453\t-3.190000\n1390165054\t-3.190000\n1390165654\t-3.190000\n1390166255\t-3.190000\n1390166855\t-3.190000\n1390167456\t-3.190000\n1390168056\t-3.190000\n1390168657\t-3.250000\n1390169257\t-3.250000\n1390169858\t-3.310000\n1390170458\t-3.380000\n1390171059\t-3.380000\n1390171660\t-3.440000\n1390172260\t-3.440000\n1390172861\t-3.380000\n1390173461\t-3.310000\n1390174062\t-3.380000\n1390174662\t-3.380000\n1390175263\t-3.380000\n1390175863\t-3.380000\n1390176464\t-3.380000\n1390177065\t-3.380000\n1390177665\t-3.380000\n1390178266\t-3.310000\n1390178866\t-3.310000\n1390179467\t-3.310000\n1390180067\t-3.310000\n1390180668\t-3.250000\n1390181268\t-3.190000\n1390181869\t-3.250000\n1390182470\t-3.250000\n1390183070\t-3.250000\n1390183686\t-3.310000\n1390184286\t-3.310000\n1390184887\t-3.310000\n1390185487\t-3.310000\n1390186088\t-3.310000\n1390186688\t-3.310000\n1390187289\t-3.310000\n1390187890\t-3.310000\n1390188490\t-3.310000\n1390189091\t-3.310000\n1390189691\t-3.250000\n1390190292\t-3.250000\n1390190892\t-3.250000\n1390191493\t-3.250000\n1390192093\t-3.190000\n1390192694\t-3.250000\n1390193295\t-3.250000\n1390193895\t-3.250000\n1390194496\t-3.250000\n1390195096\t-3.250000\n1390195697\t-3.250000\n1390196297\t-3.250000\n1390196898\t-3.250000\n1390197498\t-3.250000\n1390198099\t-3.250000\n1390198699\t-3.250000\n1390199300\t-3.250000\n1390199901\t-3.250000\n1390200501\t-3.250000\n1390201102\t-3.250000\n1390201702\t-3.310000\n1390202303\t-3.250000\n1390202903\t-3.190000\n1390203519\t-3.120000\n1390204119\t-3.190000\n1390204720\t-3.060000\n1390205321\t-3.000000\n1390205921\t-2.940000\n1390206522\t-2.810000\n1390207122\t-2.750000\n1390207723\t-2.690000\n1390208323\t-2.560000\n1390208924\t-2.440000\n1390209524\t-2.310000\n1390210125\t-2.190000\n1390210725\t-2.380000\n1390211326\t-2.620000\n1390211926\t-2.690000\n1390212527\t-2.620000\n1390213127\t-2.620000\n1390213728\t-2.560000\n1390214328\t-2.500000\n1390214929\t-2.310000\n1390215530\t-2.120000\n1390216130\t-2.000000\n1390216731\t-2.000000\n1390217331\t-2.060000\n1390217932\t-2.120000\n1390218532\t-2.060000\n1390219133\t-2.120000\n1390219733\t-2.190000\n1390220349\t-2.250000\n1390220949\t-2.250000\n1390221550\t-2.440000\n1390222150\t-2.620000\n1390222751\t-2.440000\n1390223352\t-2.750000\n1390223952\t-3.000000\n1390224553\t-2.940000\n1390225153\t-2.880000\n1390225754\t-2.880000\n1390226354\t-2.940000\n1390226955\t-2.940000\n1390227555\t-3.000000\n1390228156\t-3.060000\n1390228756\t-3.060000\n1390229357\t-3.120000\n1390229957\t-3.250000\n1390230558\t-3.250000\n1390231158\t-3.310000\n1390231759\t-3.310000\n1390232359\t-3.440000\n1390232960\t-3.500000\n1390233560\t-3.690000\n1390234161\t-3.810000\n1390234762\t-4.190000\n1390235362\t-4.380000\n1390235963\t-4.440000\n1390236563\t-4.560000\n1390237164\t-4.620000\n1390237764\t-4.750000\n1390238365\t-4.880000\n1390238980\t-4.940000\n1390239581\t-5.060000\n1390240181\t-5.120000\n1390240782\t-5.190000\n1390241382\t-5.310000\n1390241983\t-5.440000\n1390242583\t-5.440000\n1390243184\t-5.440000\n1390243785\t-5.500000\n1390244385\t-5.560000\n1390244986\t-5.690000\n1390245586\t-5.620000\n1390246187\t-5.560000\n1390246787\t-5.440000\n1390247388\t-5.310000\n1390247988\t-5.190000\n1390248589\t-5.000000\n1390249189\t-4.880000\n1390249790\t-4.750000\n1390250390\t-4.690000\n1390250991\t-4.620000\n1390251592\t-4.560000\n1390252192\t-4.560000\n1390252793\t-4.500000\n1390253393\t-4.440000\n1390253994\t-4.440000\n1390254594\t-4.440000\n1390255195\t-4.310000\n1390255795\t-4.250000\n1390256396\t-4.250000\n1390256996\t-4.190000\n1390257597\t-4.250000\n1390258198\t-4.190000\n1390258813\t-4.060000\n1390259414\t-4.060000\n1390260014\t-4.060000\n1390260615\t-4.060000\n1390261215\t-4.060000\n1390261816\t-4.000000\n1390262416\t-3.940000\n1390263017\t-3.940000\n1390263618\t-4.000000\n1390264218\t-4.000000\n1390264819\t-4.000000\n1390265419\t-4.060000\n1390266020\t-4.060000\n1390266620\t-4.000000\n1390267221\t-4.000000\n1390267821\t-4.000000\n1390268422\t-4.060000\n1390269022\t-3.940000\n1390269623\t-4.000000\n1390270223\t-4.250000\n1390270824\t-4.440000\n1390271424\t-4.560000\n1390272025\t-4.560000\n1390272625\t-4.560000\n1390273226\t-4.500000\n1390273826\t-4.500000\n1390274427\t-4.500000\n1390275027\t-4.440000\n1390275628\t-4.440000\n1390276243\t-4.440000\n1390276844\t-4.380000\n1390277444\t-4.500000\n1390278045\t-4.500000\n1390278645\t-4.620000\n1390279246\t-4.750000\n1390279846\t-5.000000\n1390280447\t-5.120000\n1390281048\t-5.190000\n1390281648\t-5.310000\n1390282249\t-5.440000\n1390282849\t-5.500000\n1390283450\t-5.620000\n1390284050\t-5.750000\n1390284651\t-5.880000\n1390285251\t-5.940000\n1390285852\t-5.940000\n1390286452\t-6.000000\n1390287053\t-6.000000\n1390287653\t-6.000000\n1390288254\t-6.000000\n1390288855\t-6.060000\n1390289455\t-6.120000\n1390290056\t-6.120000\n1390290656\t-6.060000\n1390291257\t-6.000000\n1390291857\t-5.940000\n1390292458\t-5.940000\n1390293058\t-5.880000\n1390293659\t-5.750000\n1390294259\t-5.620000\n1390294875\t-5.500000\n1390295476\t-5.310000\n1390296076\t-5.190000\n1390296677\t-5.120000\n1390297277\t-5.000000\n1390297878\t-4.810000\n1390298478\t-4.750000\n1390299079\t-4.560000\n1390299679\t-4.560000\n1390300280\t-4.440000\n1390300880\t-4.310000\n1390301481\t-4.120000\n1390302081\t-4.120000\n1390302682\t-3.940000\n1390303283\t-3.940000\n1390303883\t-3.880000\n1390304484\t-3.810000\n1390305084\t-3.750000\n1390305685\t-3.620000\n1390306285\t-3.500000\n1390306886\t-3.500000\n1390307486\t-3.440000\n1390308087\t-3.380000\n1390308687\t-3.380000\n1390309288\t-3.380000\n1390309888\t-3.440000\n1390310489\t-3.560000\n1390311090\t-3.880000\n1390311690\t-4.060000\n1390312291\t-3.940000\n1390312891\t-4.060000\n1390313507\t-4.190000\n1390314107\t-4.380000\n1390314708\t-4.690000\n1390315308\t-4.880000\n1390315909\t-5.060000\n1390316509\t-5.060000\n1390317110\t-5.120000\n1390317711\t-5.190000\n1390318311\t-5.120000\n1390318912\t-5.120000\n1390319512\t-5.000000\n1390320113\t-4.940000\n1390320713\t-4.810000\n1390321314\t-4.750000\n1390321914\t-4.560000\n1390322515\t-4.440000\n1390323116\t-4.310000\n1390323716\t-4.250000\n1390324317\t-4.120000\n1390324917\t-4.060000\n1390325518\t-4.190000\n1390326118\t-4.190000\n1390326719\t-4.120000\n1390327319\t-4.120000\n1390327920\t-4.060000\n1390328521\t-4.000000\n1390329121\t-3.940000\n1390329722\t-4.000000\n1390330322\t-3.940000\n1390330923\t-3.940000\n1390331538\t-3.940000\n1390332139\t-3.940000\n1390332739\t-3.940000\n1390333340\t-3.940000\n1390333940\t-3.940000\n1390334541\t-3.940000\n1390335141\t-3.940000\n1390335742\t-3.880000\n1390336343\t-3.880000\n1390336943\t-3.880000\n1390337544\t-3.810000\n1390338144\t-3.810000\n1390338745\t-3.810000\n1390339345\t-3.810000\n1390339946\t-3.880000\n1390340546\t-3.880000\n1390341147\t-3.940000\n1390341747\t-3.940000\n1390342348\t-4.000000\n1390342948\t-4.000000\n1390343549\t-4.060000\n1390344149\t-4.060000\n1390344750\t-4.060000\n1390345351\t-4.060000\n1390345951\t-4.120000\n1390346552\t-4.120000\n1390347152\t-4.120000\n1390347753\t-4.190000\n1390348353\t-4.250000\n1390348954\t-4.250000\n1390349569\t-4.250000\n1390350170\t-4.310000\n1390350771\t-4.250000\n1390351371\t-4.310000\n1390351972\t-4.250000\n1390352572\t-4.310000\n1390353173\t-4.310000\n1390353773\t-4.310000\n1390354374\t-4.380000\n1390354974\t-4.440000\n1390355575\t-4.440000\n1390356175\t-4.440000\n1390356776\t-4.500000\n1390357376\t-4.560000\n1390357977\t-4.560000\n1390358578\t-4.560000\n1390359178\t-4.620000\n1390359779\t-4.620000\n1390360379\t-4.620000\n1390360980\t-4.620000\n1390361580\t-4.620000\n1390362181\t-4.620000\n1390362781\t-4.620000\n1390363382\t-4.690000\n1390363982\t-4.620000\n1390364583\t-4.620000\n1390365183\t-4.690000\n1390365784\t-4.690000\n1390366384\t-4.690000\n1390366985\t-4.690000\n1390367586\t-4.750000\n1390368201\t-4.750000\n1390368802\t-4.750000\n1390369402\t-4.810000\n1390370003\t-4.750000\n1390370603\t-4.750000\n1390371204\t-4.810000\n1390371804\t-4.750000\n1390372405\t-4.810000\n1390373005\t-4.880000\n1390373606\t-4.880000\n1390374207\t-4.880000\n1390374807\t-4.880000\n1390375408\t-4.810000\n1390376008\t-4.810000\n1390376609\t-4.810000\n1390377209\t-4.810000\n1390377810\t-4.750000\n1390378410\t-4.690000\n1390379011\t-4.690000\n1390379611\t-4.560000\n1390380212\t-4.500000\n1390380813\t-4.440000\n1390381413\t-4.310000\n1390382014\t-4.190000\n1390382614\t-4.060000\n1390383215\t-3.880000\n1390383815\t-3.940000\n1390384416\t-3.880000\n1390385016\t-3.750000\n1390385617\t-3.620000\n1390386217\t-3.440000\n1390386833\t-3.440000\n1390387434\t-3.380000\n1390388034\t-3.380000\n1390388635\t-3.440000\n1390389235\t-3.500000\n1390389836\t-3.620000\n1390390436\t-3.560000\n1390391037\t-3.560000\n1390391637\t-3.560000\n1390392238\t-3.560000\n1390392838\t-3.440000\n1390393439\t-3.500000\n1390394040\t-3.620000\n1390394640\t-3.750000\n1390395241\t-3.880000\n1390395841\t-3.940000\n1390396442\t-4.120000\n1390397042\t-4.250000\n1390397643\t-4.310000\n1390398243\t-4.310000\n1390398844\t-4.380000\n1390399444\t-4.440000\n1390400045\t-4.560000\n1390400646\t-4.750000\n1390401246\t-4.750000\n1390401847\t-4.810000\n1390402447\t-4.880000\n1390403048\t-4.940000\n1390403648\t-5.000000\n1390404249\t-5.120000\n1390404849\t-5.120000\n1390405465\t-5.190000\n1390406065\t-5.190000\n1390406666\t-5.250000\n1390407266\t-5.250000\n1390407867\t-5.310000\n1390408467\t-5.310000\n1390409068\t-5.380000\n1390409668\t-5.440000\n1390410269\t-5.500000\n1390410870\t-5.560000\n1390411470\t-5.560000\n1390412071\t-5.620000\n1390412671\t-5.620000\n1390413272\t-5.750000\n1390413872\t-5.810000\n1390414473\t-5.880000\n1390415073\t-5.940000\n1390415674\t-6.060000\n1390416274\t-6.000000\n1390416875\t-6.060000\n1390417476\t-6.000000\n1390418076\t-6.060000\n1390418677\t-6.060000\n1390419277\t-6.310000\n1390419878\t-6.620000\n1390420478\t-6.940000\n1390421079\t-6.880000\n1390421679\t-7.000000\n1390422280\t-7.250000\n1390422880\t-7.380000\n1390423481\t-7.380000\n1390424081\t-7.500000\n1390424682\t-7.750000\n1390425298\t-7.750000\n1390425898\t-7.750000\n1390426499\t-7.690000\n1390427099\t-7.690000\n1390427700\t-7.620000\n1390428300\t-7.620000\n1390428901\t-7.500000\n1390429501\t-7.500000\n1390430102\t-7.620000\n1390430702\t-7.560000\n1390431303\t-7.440000\n1390431904\t-7.500000\n1390432504\t-7.500000\n1390433105\t-7.500000\n1390433705\t-7.310000\n1390434306\t-7.190000\n1390434906\t-7.190000\n1390435507\t-7.120000\n1390436107\t-7.000000\n1390436708\t-7.000000\n1390437308\t-7.250000\n1390437909\t-7.380000\n1390438510\t-7.440000\n1390439110\t-7.380000\n1390439711\t-7.380000\n1390440311\t-7.380000\n1390440912\t-7.500000\n1390441512\t-7.500000\n1390442113\t-7.310000\n1390442713\t-7.250000\n1390443314\t-7.120000\n1390443929\t-6.940000\n1390444530\t-7.380000\n1390445130\t-7.620000\n1390445731\t-7.560000\n1390446331\t-7.560000\n1390446932\t-7.380000\n1390447533\t-7.440000\n1390448133\t-7.250000\n1390448734\t-7.500000\n1390449334\t-7.500000\n1390449935\t-7.500000\n1390450535\t-7.500000\n1390451136\t-7.620000\n1390451736\t-7.880000\n1390452337\t-7.750000\n1390452937\t-7.880000\n1390453538\t-7.750000\n1390454138\t-7.620000\n1390454739\t-7.880000\n1390455340\t-7.620000\n1390455940\t-7.560000\n1390456541\t-7.620000\n1390457141\t-7.500000\n1390457742\t-7.440000\n1390458342\t-7.560000\n1390458943\t-7.810000\n1390459543\t-8.000000\n1390460144\t-8.120000\n1390460744\t-8.380000\n1390461345\t-8.250000\n1390461945\t-8.190000\n1390462546\t-8.190000\n1390463162\t-8.310000\n1390463762\t-8.500000\n1390464363\t-8.620000\n1390464963\t-8.810000\n1390465564\t-8.750000\n1390466164\t-8.750000\n1390466765\t-8.750000\n1390467365\t-8.620000\n1390467966\t-9.560000\n1390468566\t-9.190000\n1390469167\t-8.690000\n1390469767\t-8.120000\n1390470368\t-8.000000\n1390470969\t-7.750000\n1390471569\t-7.500000\n1390472170\t-7.120000\n1390472770\t-6.940000\n1390473371\t-6.810000\n1390473971\t-7.120000\n1390474572\t-7.120000\n1390475172\t-6.940000\n1390475773\t-6.810000\n1390476373\t-6.750000\n1390476974\t-6.810000\n1390477574\t-6.560000\n1390478175\t-6.690000\n1390478775\t-6.500000\n1390479376\t-6.560000\n1390479977\t-6.810000\n1390480577\t-6.810000\n1390481178\t-6.880000\n1390481778\t-6.690000\n1390482394\t-6.620000\n1390482994\t-6.620000\n1390483595\t-6.620000\n1390484195\t-6.620000\n1390484796\t-6.690000\n1390485397\t-6.690000\n1390485997\t-6.750000\n1390486598\t-6.690000\n1390487198\t-6.690000\n1390487799\t-6.750000\n1390488399\t-6.810000\n1390489000\t-6.880000\n1390489600\t-6.880000\n1390490201\t-6.880000\n1390490802\t-6.880000\n1390491402\t-6.810000\n1390492003\t-6.810000\n1390492603\t-6.750000\n1390493204\t-6.690000\n1390493804\t-6.620000\n1390494405\t-6.560000\n1390495005\t-6.500000\n1390495606\t-6.380000\n1390496207\t-6.250000\n1390496807\t-6.190000\n1390497408\t-6.190000\n1390498008\t-6.120000\n1390498609\t-6.000000\n1390499224\t-5.880000\n1390499825\t-5.750000\n1390500425\t-5.620000\n1390501026\t-5.560000\n1390501627\t-5.500000\n1390502227\t-5.440000\n1390502828\t-5.440000\n1390503428\t-5.380000\n1390504029\t-5.380000\n1390504629\t-5.440000\n1390505230\t-5.380000\n1390505830\t-5.310000\n1390506431\t-5.250000\n1390507031\t-5.250000\n1390507632\t-5.250000\n1390508232\t-5.190000\n1390508833\t-5.190000\n1390509433\t-5.190000\n1390510034\t-5.120000\n1390510635\t-5.120000\n1390511235\t-5.060000\n1390511836\t-5.060000\n1390512436\t-5.000000\n1390513037\t-5.000000\n1390513637\t-5.000000\n1390514238\t-5.000000\n1390514838\t-5.000000\n1390515439\t-5.000000\n1390516039\t-5.000000\n1390516640\t-5.000000\n1390517240\t-4.940000\n1390517856\t-5.000000\n1390518457\t-4.940000\n1390519057\t-4.940000\n1390519658\t-4.880000\n1390520258\t-4.880000\n1390520859\t-4.880000\n1390521459\t-4.880000\n1390522060\t-4.810000\n1390522660\t-4.810000\n1390523261\t-4.880000\n1390523861\t-4.810000\n1390524462\t-4.810000\n1390525062\t-4.880000\n1390525663\t-4.880000\n1390526263\t-4.810000\n1390526864\t-4.810000\n1390527465\t-4.810000\n1390528065\t-4.810000\n1390528666\t-4.810000\n1390529266\t-4.810000\n1390529867\t-4.810000\n1390530467\t-4.810000\n1390531068\t-4.810000\n1390531668\t-4.750000\n1390532269\t-4.750000\n1390532870\t-4.810000\n1390533470\t-4.810000\n1390534071\t-4.810000\n1390534671\t-4.810000\n1390535272\t-4.810000\n1390535872\t-4.810000\n1390536488\t-4.810000\n1390537088\t-4.750000\n1390537689\t-4.810000\n1390538289\t-4.810000\n1390538890\t-4.810000\n1390539491\t-4.810000\n1390540091\t-4.750000\n1390540692\t-4.750000\n1390541292\t-4.750000\n1390541893\t-4.690000\n1390542493\t-4.690000\n1390543094\t-4.690000\n1390543694\t-4.690000\n1390544295\t-4.690000\n1390544895\t-4.620000\n1390545496\t-4.620000\n1390546096\t-4.620000\n1390546697\t-4.620000\n1390547298\t-4.620000\n1390547898\t-4.690000\n1390548499\t-4.620000\n1390549099\t-4.620000\n1390549700\t-4.560000\n1390550300\t-4.560000\n1390550901\t-4.500000\n1390551501\t-4.440000\n1390552102\t-4.310000\n1390552702\t-4.250000\n1390553303\t-4.190000\n1390553918\t-4.060000\n1390554519\t-4.000000\n1390555120\t-3.940000\n1390555720\t-3.810000\n1390556321\t-3.750000\n1390556921\t-3.620000\n1390557522\t-3.560000\n1390558122\t-3.500000\n1390558723\t-3.380000\n1390559323\t-3.250000\n1390559924\t-3.250000\n1390560524\t-3.190000\n1390561125\t-3.060000\n1390561726\t-3.060000\n1390562326\t-2.940000\n1390562927\t-3.060000\n1390563527\t-3.060000\n1390564128\t-2.940000\n1390564728\t-3.000000\n1390565329\t-2.940000\n1390565929\t-3.000000\n1390566530\t-3.060000\n1390567130\t-3.060000\n1390567731\t-3.000000\n1390568331\t-3.190000\n1390568932\t-3.310000\n1390569533\t-3.310000\n1390570133\t-3.500000\n1390570734\t-3.500000\n1390571334\t-3.500000\n1390571935\t-3.620000\n1390572535\t-3.690000\n1390573136\t-3.750000\n1390573751\t-3.750000\n1390574352\t-3.810000\n1390574952\t-3.940000\n1390575553\t-3.940000\n1390576154\t-3.940000\n1390576754\t-4.000000\n1390577355\t-4.060000\n1390577955\t-4.060000\n1390578556\t-4.060000\n1390579156\t-4.060000\n1390579757\t-4.060000\n1390580357\t-4.060000\n1390580958\t-4.120000\n1390581558\t-4.190000\n1390582159\t-4.190000\n1390582759\t-4.190000\n1390583360\t-4.190000\n1390583960\t-4.250000\n1390584561\t-4.250000\n1390585161\t-4.310000\n1390585762\t-4.310000\n1390586363\t-4.440000\n1390586963\t-4.440000\n1390587564\t-4.380000\n1390588164\t-4.440000\n1390588765\t-4.440000\n1390589365\t-4.560000\n1390589966\t-4.620000\n1390590566\t-4.620000\n1390591167\t-4.750000\n1390591767\t-4.750000\n1390592368\t-4.750000\n1390592969\t-4.750000\n1390593569\t-4.690000\n1390594170\t-4.810000\n1390594785\t-4.880000\n1390595386\t-4.940000\n1390595986\t-4.940000\n1390596587\t-4.940000\n1390597187\t-5.000000\n1390597788\t-5.000000\n1390598388\t-5.060000\n1390598989\t-5.060000\n1390599589\t-5.060000\n1390600190\t-5.120000\n1390600790\t-5.190000\n1390601391\t-5.190000\n1390601992\t-5.190000\n1390602592\t-5.120000\n1390603193\t-5.120000\n1390603793\t-5.120000\n1390604394\t-5.190000\n1390604994\t-5.190000\n1390605595\t-5.310000\n1390606195\t-5.380000\n1390606796\t-5.310000\n1390607396\t-5.250000\n1390607997\t-5.750000\n1390608598\t-6.250000\n1390609198\t-6.620000\n1390609799\t-6.880000\n1390610399\t-6.880000\n1390611000\t-6.750000\n1390611600\t-6.560000\n1390612201\t-6.380000\n1390612801\t-6.560000\n1390613402\t-6.500000\n1390614002\t-6.690000\n1390614603\t-6.560000\n1390615203\t-6.440000\n1390615819\t-6.250000\n1390616420\t-6.120000\n1390617020\t-5.940000\n1390617621\t-5.880000\n1390618221\t-5.810000\n1390618822\t-5.690000\n1390619422\t-5.560000\n1390620023\t-5.440000\n1390620623\t-5.440000\n1390621224\t-5.440000\n1390621824\t-5.440000\n1390622425\t-5.380000\n1390623026\t-5.380000\n1390623626\t-5.380000\n1390624227\t-5.310000\n1390624827\t-5.310000\n1390625428\t-5.250000\n1390626028\t-5.310000\n1390626629\t-5.310000\n1390627229\t-5.310000\n1390627830\t-5.310000\n1390628430\t-5.250000\n1390629031\t-5.250000\n1390629631\t-5.310000\n1390630232\t-5.380000\n1390630832\t-5.380000\n1390631433\t-5.310000\n1390632034\t-5.380000\n1390632634\t-5.380000\n1390633235\t-5.380000\n1390633850\t-5.440000\n1390634451\t-5.380000\n1390635051\t-5.380000\n1390635652\t-5.310000\n1390636252\t-5.250000\n1390636853\t-5.190000\n1390637453\t-5.120000\n1390638054\t-5.060000\n1390638655\t-5.060000\n1390639255\t-4.940000\n1390639856\t-4.810000\n1390640456\t-4.810000\n1390641057\t-4.750000\n1390641657\t-4.690000\n1390642258\t-4.750000\n1390642858\t-4.560000\n1390643459\t-4.380000\n1390644060\t-4.190000\n1390644660\t-4.060000\n1390645261\t-3.750000\n1390645861\t-3.690000\n1390646462\t-3.500000\n1390647062\t-3.500000\n1390647663\t-3.560000\n1390648263\t-3.500000\n1390648864\t-3.560000\n1390649464\t-3.560000\n1390650065\t-3.440000\n1390650665\t-3.190000\n1390651266\t-3.380000\n1390651867\t-3.620000\n1390652467\t-3.560000\n1390653068\t-3.560000\n1390653683\t-3.690000\n1390654284\t-3.750000\n1390654884\t-3.750000\n1390655485\t-3.750000\n1390656085\t-3.810000\n1390656686\t-3.690000\n1390657287\t-3.880000\n1390657887\t-3.880000\n1390658488\t-4.000000\n1390659088\t-4.060000\n1390659689\t-4.060000\n1390660289\t-4.190000\n1390660890\t-4.250000\n1390661490\t-4.310000\n1390662091\t-4.380000\n1390662691\t-4.380000\n1390663292\t-4.380000\n1390663892\t-4.500000\n1390664493\t-4.500000\n1390665094\t-4.500000\n1390665694\t-4.500000\n1390666295\t-4.560000\n1390666895\t-4.560000\n1390667496\t-4.560000\n1390668096\t-4.560000\n1390668697\t-4.560000\n1390669297\t-4.560000\n1390669898\t-4.560000\n1390670498\t-4.560000\n1390671099\t-4.560000\n1390671700\t-4.500000\n1390672315\t-4.500000\n1390672916\t-4.560000\n1390673516\t-4.500000\n1390674117\t-4.560000\n1390674717\t-4.560000\n1390675318\t-4.560000\n1390675918\t-4.560000\n1390676519\t-4.560000\n1390677119\t-4.500000\n1390677720\t-4.500000\n1390678320\t-4.500000\n1390678921\t-4.500000\n1390679522\t-4.500000\n1390680122\t-4.500000\n1390680723\t-4.500000\n1390681323\t-4.560000\n1390681924\t-4.500000\n1390682524\t-4.500000\n1390683125\t-4.560000\n1390683725\t-4.560000\n1390684326\t-4.560000\n1390684926\t-4.500000\n1390685527\t-4.560000\n1390686128\t-4.560000\n1390686728\t-4.500000\n1390687329\t-4.560000\n1390687929\t-4.500000\n1390688530\t-4.500000\n1390689130\t-4.500000\n1390689731\t-4.440000\n1390690331\t-4.310000\n1390690947\t-4.380000\n1390691547\t-4.250000\n1390692148\t-4.190000\n1390692748\t-4.190000\n1390693349\t-4.120000\n1390693949\t-4.120000\n1390694550\t-4.060000\n1390695151\t-4.000000\n1390695751\t-4.000000\n1390696352\t-4.000000\n1390696952\t-4.000000\n1390697553\t-4.000000\n1390698153\t-4.000000\n1390698754\t-3.940000\n1390699354\t-4.000000\n1390699955\t-3.940000\n1390700555\t-3.940000\n1390701156\t-3.880000\n1390701757\t-3.880000\n1390702357\t-3.810000\n1390702958\t-3.880000\n1390703558\t-3.810000\n1390704159\t-3.810000\n1390704759\t-3.810000\n1390705360\t-3.750000\n1390705960\t-3.750000\n1390706561\t-3.750000\n1390707162\t-3.750000\n1390707762\t-3.750000\n1390708363\t-3.750000\n1390708963\t-3.810000\n1390709564\t-3.810000\n1390710179\t-3.810000\n1390710780\t-3.810000\n1390711380\t-3.810000\n1390711981\t-3.810000\n1390712582\t-3.810000\n1390713182\t-3.810000\n1390713783\t-3.810000\n1390714383\t-3.810000\n1390714984\t-3.810000\n1390715584\t-3.810000\n1390716185\t-3.750000\n1390716785\t-3.750000\n1390717386\t-3.750000\n1390717987\t-3.750000\n1390718587\t-3.690000\n1390719188\t-3.690000\n1390719788\t-3.750000\n1390720389\t-3.620000\n1390720989\t-3.620000\n1390721590\t-3.620000\n1390722190\t-3.560000\n1390722791\t-3.500000\n1390723392\t-3.440000\n1390723992\t-3.380000\n1390724593\t-3.250000\n1390725193\t-3.120000\n1390725794\t-3.120000\n1390726394\t-3.000000\n1390726995\t-2.940000\n1390727610\t-2.880000\n1390728211\t-2.880000\n1390728811\t-2.750000\n1390729412\t-2.750000\n1390730013\t-2.750000\n1390730613\t-2.810000\n1390731214\t-2.690000\n1390731814\t-2.810000\n1390732415\t-2.810000\n1390733015\t-2.810000\n1390733616\t-2.620000\n1390734216\t-2.380000\n1390734817\t-2.380000\n1390735417\t-2.810000\n1390736018\t-3.120000\n1390736619\t-3.060000\n1390737219\t-3.060000\n1390737820\t-3.060000\n1390738420\t-3.000000\n1390739021\t-2.750000\n1390739621\t-2.440000\n1390740222\t-2.560000\n1390740823\t-2.440000\n1390741423\t-2.810000\n1390742024\t-3.000000\n1390742624\t-3.000000\n1390743225\t-3.190000\n1390743825\t-3.190000\n1390744426\t-3.250000\n1390745041\t-3.120000\n1390745642\t-3.250000\n1390746242\t-3.620000\n1390746843\t-3.880000\n1390747443\t-4.120000\n1390748044\t-4.190000\n1390748644\t-4.250000\n1390749245\t-4.190000\n1390749846\t-4.190000\n1390750446\t-4.190000\n1390751047\t-4.120000\n1390751647\t-3.940000\n1390752248\t-3.940000\n1390752848\t-3.880000\n1390753449\t-3.810000\n1390754049\t-3.880000\n1390754650\t-3.810000\n1390755251\t-3.810000\n1390755851\t-3.880000\n1390756452\t-3.880000\n1390757052\t-3.810000\n1390757653\t-3.810000\n1390758253\t-3.810000\n1390758854\t-3.810000\n1390759454\t-3.810000\n1390760055\t-3.810000\n1390760655\t-3.810000\n1390761256\t-3.810000\n1390761857\t-3.810000\n1390762457\t-3.880000\n1390763058\t-4.000000\n1390763658\t-3.940000\n1390764274\t-3.940000\n1390764874\t-3.810000\n1390765475\t-3.880000\n1390766075\t-3.810000\n1390766676\t-3.750000\n1390767276\t-3.750000\n1390767877\t-3.690000\n1390768478\t-3.620000\n1390769078\t-3.560000\n1390769679\t-3.620000\n1390770279\t-3.750000\n1390770880\t-3.810000\n1390771480\t-3.810000\n1390772081\t-3.810000\n1390772681\t-3.810000\n1390773282\t-3.810000\n1390773882\t-3.810000\n1390774483\t-3.750000\n1390775083\t-3.750000\n1390775684\t-3.750000\n1390776284\t-3.810000\n1390776885\t-3.810000\n1390777486\t-3.810000\n1390778086\t-3.750000\n1390778687\t-3.750000\n1390779287\t-3.690000\n1390779888\t-3.620000\n1390780488\t-3.620000\n1390781089\t-3.560000\n1390781689\t-3.500000\n1390782290\t-3.440000\n1390782905\t-3.440000\n1390783506\t-3.440000\n1390784107\t-3.310000\n1390784707\t-3.190000\n1390785308\t-3.000000\n1390785908\t-2.940000\n1390786509\t-2.880000\n1390787109\t-2.750000\n1390787710\t-2.690000\n1390788310\t-2.690000\n1390788911\t-2.690000\n1390789512\t-2.690000\n1390790112\t-2.620000\n1390790713\t-2.620000\n1390791313\t-2.620000\n1390791914\t-2.560000\n1390792514\t-2.560000\n1390793115\t-2.620000\n1390793715\t-2.620000\n1390794316\t-2.620000\n1390794916\t-2.560000\n1390795517\t-2.560000\n1390796117\t-2.620000\n1390796718\t-2.690000\n1390797319\t-2.620000\n1390797919\t-2.620000\n1390798520\t-2.620000\n1390799120\t-2.620000\n1390799721\t-2.620000\n1390800321\t-2.620000\n1390800922\t-2.690000\n1390801522\t-2.690000\n1390802138\t-2.690000\n1390802739\t-2.690000\n1390803339\t-2.690000\n1390803940\t-2.690000\n1390804540\t-2.750000\n1390805141\t-2.750000\n1390805741\t-2.750000\n1390806342\t-2.750000\n1390806942\t-2.750000\n1390807543\t-2.750000\n1390808143\t-2.690000\n1390808744\t-2.690000\n1390809344\t-2.620000\n1390809945\t-2.560000\n1390810546\t-2.500000\n1390811146\t-2.380000\n1390811747\t-2.310000\n1390812347\t-2.190000\n1390812948\t-2.060000\n1390813548\t-2.000000\n1390814149\t-1.940000\n1390814749\t-1.880000\n1390815350\t-1.810000\n1390815951\t-1.810000\n1390816551\t-1.810000\n1390817152\t-1.690000\n1390817752\t-1.620000\n1390818353\t-1.560000\n1390818953\t-1.440000\n1390819554\t-1.310000\n1390820154\t-1.250000\n1390820755\t-0.940000\n1390821370\t-0.810000\n1390821971\t-1.000000\n1390822571\t-1.120000\n1390823172\t-1.060000\n1390823773\t-0.880000\n1390824373\t-1.060000\n1390824974\t-1.190000\n1390825574\t-1.310000\n1390826175\t-1.310000\n1390826775\t-1.380000\n1390827376\t-1.440000\n1390827976\t-1.500000\n1390828577\t-1.560000\n1390829177\t-1.560000\n1390829778\t-1.500000\n1390830379\t-1.560000\n1390830979\t-1.560000\n1390831580\t-1.690000\n1390832180\t-1.750000\n1390832781\t-1.750000\n1390833381\t-1.810000\n1390833982\t-1.810000\n1390834582\t-1.880000\n1390835183\t-1.880000\n1390835783\t-1.880000\n1390836384\t-1.810000\n1390836984\t-1.880000\n1390837585\t-1.940000\n1390838186\t-1.940000\n1390838786\t-1.880000\n1390839402\t-1.880000\n1390840002\t-1.810000\n1390840603\t-1.810000\n1390841203\t-1.810000\n1390841804\t-1.810000\n1390842404\t-1.810000\n1390843005\t-1.810000\n1390843605\t-1.750000\n1390844206\t-1.750000\n1390844806\t-1.690000\n1390845407\t-1.620000\n1390846008\t-1.620000\n1390846608\t-1.620000\n1390847209\t-1.560000\n1390847809\t-1.500000\n1390848410\t-1.440000\n1390849010\t-1.440000\n1390849611\t-1.440000\n1390850211\t-1.380000\n1390850812\t-1.380000\n1390851412\t-1.440000\n1390852013\t-1.440000\n1390852614\t-1.440000\n1390853214\t-1.440000\n1390853815\t-1.500000\n1390854415\t-1.440000\n1390855016\t-1.440000\n1390855616\t-1.440000\n1390856217\t-1.440000\n1390856817\t-1.440000\n1390857418\t-1.440000\n1390858018\t-1.440000\n1390858634\t-1.440000\n1390859234\t-1.500000\n1390859835\t-1.500000\n1390860436\t-1.500000\n1390861036\t-1.500000\n1390861637\t-1.500000\n1390862237\t-1.500000\n1390862838\t-1.500000\n1390863438\t-1.560000\n1390864039\t-1.500000\n1390864639\t-1.560000\n1390865240\t-1.560000\n1390865840\t-1.500000\n1390866441\t-1.500000\n1390867041\t-1.500000\n1390867642\t-1.440000\n1390868242\t-1.440000\n1390868843\t-1.440000\n1390869443\t-1.440000\n1390870044\t-1.440000\n1390870645\t-1.380000\n1390871245\t-1.310000\n1390871846\t-1.310000\n1390872446\t-1.380000\n1390873047\t-1.380000\n1390873647\t-1.380000\n1390874248\t-1.380000\n1390874848\t-1.440000\n1390875449\t-1.440000\n1390876049\t-1.440000\n1390876665\t-1.440000\n1390877265\t-1.440000\n1390877866\t-1.500000\n1390878467\t-1.500000\n1390879067\t-1.500000\n1390879668\t-1.500000\n1390880268\t-1.440000\n1390880869\t-1.500000\n1390881469\t-1.500000\n1390882070\t-1.440000\n1390882670\t-1.440000\n1390883271\t-1.380000\n1390883871\t-1.380000\n1390884472\t-1.380000\n1390885072\t-1.310000\n1390885673\t-1.310000\n1390886274\t-1.380000\n1390886874\t-1.380000\n1390887475\t-1.440000\n1390888075\t-1.440000\n1390888676\t-1.440000\n1390889276\t-1.380000\n1390889877\t-1.380000\n1390890477\t-1.310000\n1390891078\t-1.250000\n1390891678\t-1.310000\n1390892279\t-1.250000\n1390892880\t-1.250000\n1390893480\t-1.310000\n1390894081\t-1.310000\n1390894681\t-1.250000\n1390895282\t-1.250000\n1390895897\t-1.190000\n1390896498\t-1.250000\n1390897098\t-1.190000\n1390897699\t-1.120000\n1390898299\t-1.000000\n1390898900\t-0.940000\n1390899501\t-0.810000\n1390900101\t-0.690000\n1390900702\t-0.560000\n1390901302\t-0.560000\n1390901903\t-0.500000\n1390902503\t-0.560000\n1390903104\t-0.620000\n1390903704\t-0.620000\n1390904305\t-0.440000\n1390904906\t-0.440000\n1390905506\t-0.380000\n1390906107\t-0.380000\n1390906707\t-0.190000\n1390907308\t-0.190000\n1390907908\t0.000000\n1390908509\t0.060000\n1390909109\t0.060000\n1390909710\t0.060000\n1390910310\t0.060000\n1390910911\t0.190000\n1390911511\t0.250000\n1390912112\t0.190000\n1390912712\t0.120000\n1390913328\t0.120000\n1390913929\t0.120000\n1390914529\t0.060000\n1390915130\t0.060000\n1390915730\t0.000000\n1390916331\t-0.060000\n1390916931\t-0.190000\n1390917532\t-0.380000\n1390918132\t-0.380000\n1390918733\t-0.440000\n1390919334\t-0.560000\n1390919934\t-0.620000\n1390920535\t-0.620000\n1390921135\t-0.690000\n1390921736\t-0.690000\n1390922336\t-0.690000\n1390922937\t-0.690000\n1390923537\t-0.620000\n1390924138\t-0.620000\n1390924739\t-0.560000\n1390925339\t-0.620000\n1390925940\t-0.560000\n1390926540\t-0.500000\n1390927141\t-0.500000\n1390927741\t-0.500000\n1390928342\t-0.500000\n1390928942\t-0.500000\n1390929543\t-0.500000\n1390930143\t-0.810000\n1390930744\t-1.060000\n1390931344\t-1.310000\n1390931960\t-1.440000\n1390932561\t-1.500000\n1390933161\t-1.620000\n1390933762\t-1.690000\n1390934362\t-1.810000\n1390934963\t-1.880000\n1390935563\t-1.880000\n1390936164\t-1.940000\n1390936764\t-1.940000\n1390937365\t-1.880000\n1390937965\t-1.940000\n1390938566\t-2.060000\n1390939167\t-2.000000\n1390939767\t-2.060000\n1390940368\t-2.120000\n1390940968\t-2.120000\n1390941569\t-2.000000\n1390942169\t-2.000000\n1390942770\t-2.000000\n1390943370\t-1.880000\n1390943971\t-1.810000\n1390944571\t-1.810000\n1390945172\t-1.810000\n1390945772\t-1.810000\n1390946373\t-1.810000\n1390946974\t-1.810000\n1390947574\t-1.810000\n1390948175\t-1.750000\n1390948775\t-1.810000\n1390949376\t-1.810000\n1390949976\t-2.000000\n1390950577\t-2.000000\n1390951177\t-2.060000\n1390951793\t-2.120000\n1390952393\t-2.120000\n1390952994\t-2.120000\n1390953595\t-2.120000\n1390954195\t-2.120000\n1390954796\t-2.060000\n1390955396\t-2.120000\n1390955997\t-2.120000\n1390956597\t-2.120000\n1390957198\t-2.060000\n1390957798\t-2.060000\n1390958399\t-2.060000\n1390958999\t-2.000000\n1390959600\t-2.000000\n1390960200\t-2.000000\n1390960801\t-2.000000\n1390961401\t-2.000000\n1390962002\t-2.060000\n1390962603\t-2.120000\n1390963203\t-2.120000\n1390963804\t-2.190000\n1390964404\t-2.250000\n1390965005\t-2.310000\n1390965605\t-2.310000\n1390966206\t-2.380000\n1390966806\t-2.380000\n1390967407\t-2.440000\n1390968007\t-2.500000\n1390968608\t-2.500000\n1390969209\t-2.560000\n1390969809\t-2.560000\n1390970410\t-2.620000\n1390971025\t-2.690000\n1390971626\t-2.690000\n1390972226\t-2.690000\n1390972827\t-2.750000\n1390973427\t-2.810000\n1390974028\t-2.880000\n1390974629\t-2.880000\n1390975229\t-2.940000\n1390975830\t-3.000000\n1390976430\t-3.000000\n1390977031\t-3.000000\n1390977631\t-3.000000\n1390978232\t-2.940000\n1390978832\t-3.000000\n1390979433\t-2.940000\n1390980033\t-2.880000\n1390980634\t-2.750000\n1390981234\t-2.750000\n1390981835\t-2.690000\n1390982435\t-2.560000\n1390983036\t-2.500000\n1390983637\t-2.380000\n1390984237\t-2.380000\n1390984838\t-2.250000\n1390985438\t-2.310000\n1390986039\t-2.250000\n1390986639\t-2.250000\n1390987240\t-2.190000\n1390987840\t-2.190000\n1390988441\t-2.060000\n1390989041\t-2.120000\n1390989657\t-2.120000\n1390990258\t-2.000000\n1390990858\t-1.940000\n1390991459\t-1.940000\n1390992059\t-2.000000\n1390992660\t-1.880000\n1390993260\t-1.880000\n1390993861\t-1.880000\n1390994461\t-1.810000\n1390995062\t-1.750000\n1390995662\t-1.690000\n1390996263\t-1.620000\n1390996863\t-1.750000\n1390997464\t-1.620000\n1390998064\t-1.750000\n1390998665\t-1.880000\n1390999265\t-2.310000\n1390999866\t-2.690000\n1391000466\t-2.810000\n1391001067\t-2.940000\n1391001667\t-2.940000\n1391002268\t-2.560000\n1391002869\t-2.440000\n1391003469\t-2.190000\n1391004070\t-2.190000\n1391004670\t-2.380000\n1391005271\t-2.440000\n1391005886\t-2.500000\n1391006487\t-2.690000\n1391007087\t-2.810000\n1391007688\t-2.940000\n1391008289\t-3.060000\n1391008889\t-3.120000\n1391009490\t-3.190000\n1391010090\t-3.310000\n1391010691\t-3.440000\n1391011291\t-3.500000\n1391011892\t-3.560000\n1391012492\t-3.560000\n1391013093\t-3.500000\n1391013693\t-3.500000\n1391014294\t-3.500000\n1391014894\t-3.500000\n1391015495\t-3.500000\n1391016096\t-3.440000\n1391016696\t-3.380000\n1391017297\t-3.440000\n1391017897\t-3.380000\n1391018498\t-3.310000\n1391019098\t-3.310000\n1391019699\t-3.310000\n1391020299\t-3.310000\n1391020900\t-3.310000\n1391021500\t-3.310000\n1391022101\t-3.380000\n1391022702\t-3.310000\n1391023302\t-3.310000\n1391023918\t-3.310000\n1391024518\t-3.310000\n1391025119\t-3.250000\n1391025719\t-3.250000\n1391026320\t-3.250000\n1391026920\t-3.250000\n1391027521\t-3.190000\n1391028121\t-3.190000\n1391028722\t-3.190000\n1391029322\t-3.250000\n1391029923\t-3.250000\n1391030523\t-3.250000\n1391031124\t-3.190000\n1391031725\t-3.190000\n1391032325\t-3.060000\n1391032926\t-3.120000\n1391033526\t-3.060000\n1391034127\t-3.060000\n1391034727\t-3.060000\n1391035328\t-3.060000\n1391035928\t-3.120000\n1391036529\t-3.190000\n1391037129\t-3.190000\n1391037730\t-3.190000\n1391038330\t-3.190000\n1391038931\t-3.250000\n1391039532\t-3.250000\n1391040132\t-3.310000\n1391040733\t-3.310000\n1391041333\t-3.380000\n1391041934\t-3.380000\n1391042534\t-3.440000\n1391043135\t-3.560000\n1391043735\t-3.560000\n1391044351\t-3.560000\n1391044952\t-3.560000\n1391045552\t-3.620000\n1391046153\t-3.620000\n1391046753\t-3.810000\n1391047354\t-3.810000\n1391047954\t-3.810000\n1391048555\t-3.880000\n1391049155\t-3.880000\n1391049756\t-3.940000\n1391050357\t-4.000000\n1391050957\t-4.060000\n1391051558\t-4.060000\n1391052158\t-4.060000\n1391052759\t-4.120000\n1391053360\t-4.190000\n1391053960\t-4.190000\n1391054561\t-4.190000\n1391055161\t-4.190000\n1391055762\t-4.190000\n1391056362\t-4.250000\n1391056963\t-4.250000\n1391057563\t-4.310000\n1391058164\t-4.380000\n1391058764\t-4.380000\n1391059365\t-4.380000\n1391059965\t-4.380000\n1391060566\t-4.310000\n1391061167\t-4.380000\n1391061767\t-4.310000\n1391062368\t-4.380000\n1391062968\t-4.380000\n1391063569\t-4.440000\n1391064169\t-4.500000\n1391064770\t-4.440000\n1391065370\t-4.440000\n1391065986\t-4.440000\n1391066587\t-4.440000\n1391067187\t-4.380000\n1391067788\t-4.310000\n1391068388\t-4.250000\n1391068989\t-4.190000\n1391069589\t-4.120000\n1391070190\t-4.060000\n1391070790\t-4.000000\n1391071391\t-3.940000\n1391071991\t-3.940000\n1391072592\t-3.880000\n1391073192\t-3.750000\n1391073793\t-3.620000\n1391074394\t-3.440000\n1391074994\t-3.250000\n1391075595\t-3.250000\n1391076195\t-3.250000\n1391076796\t-3.190000\n1391077396\t-3.120000\n1391077997\t-3.190000\n1391078597\t-3.120000\n1391079198\t-3.120000\n1391079798\t-3.000000\n1391080399\t-2.750000\n1391080999\t-2.560000\n1391081600\t-2.620000\n1391082201\t-2.560000\n1391082801\t-2.690000\n1391083402\t-2.810000\n1391084002\t-2.880000\n1391084603\t-2.880000\n1391085203\t-2.620000\n1391085804\t-2.560000\n1391086404\t-2.440000\n1391087020\t-2.500000\n1391087621\t-2.690000\n1391088221\t-2.750000\n1391088822\t-2.690000\n1391089422\t-2.810000\n1391090023\t-2.940000\n1391090623\t-3.000000\n1391091224\t-2.940000\n1391091824\t-2.940000\n1391092425\t-3.000000\n1391093025\t-3.060000\n1391093626\t-3.120000\n1391094226\t-3.190000\n1391094827\t-3.190000\n1391095427\t-3.190000\n1391096028\t-3.190000\n1391096629\t-3.190000\n1391097229\t-3.250000\n1391097830\t-3.250000\n1391098430\t-3.250000\n1391099031\t-3.250000\n1391099631\t-3.190000\n1391100232\t-3.250000\n1391100832\t-3.250000\n1391101433\t-3.250000\n1391102033\t-3.250000\n1391102634\t-3.250000\n1391103234\t-3.310000\n1391103835\t-3.310000\n1391104435\t-3.310000\n1391105036\t-3.310000\n1391105652\t-3.310000\n1391106252\t-3.310000\n1391106853\t-3.380000\n1391107453\t-3.380000\n1391108054\t-3.380000\n1391108654\t-3.380000\n1391109255\t-3.380000\n1391109855\t-3.380000\n1391110456\t-3.380000\n1391111056\t-3.380000\n1391111657\t-3.310000\n1391112257\t-3.380000\n1391112858\t-3.380000\n1391113459\t-3.380000\n1391114059\t-3.310000\n1391114660\t-3.310000\n1391115260\t-3.310000\n1391115861\t-3.380000\n1391116461\t-3.380000\n1391117062\t-3.380000\n1391117662\t-3.380000\n1391118263\t-3.440000\n1391118863\t-3.440000\n1391119464\t-3.440000\n1391120064\t-3.440000\n1391120665\t-3.440000\n1391121265\t-3.440000\n1391121866\t-3.440000\n1391122466\t-3.440000\n1391123067\t-3.440000\n1391123668\t-3.440000\n1391124283\t-3.440000\n1391124884\t-3.440000\n1391125484\t-3.500000\n1391126085\t-3.500000\n1391126685\t-3.500000\n1391127286\t-3.500000\n1391127886\t-3.560000\n1391128487\t-3.500000\n1391129087\t-3.500000\n1391129688\t-3.500000\n1391130289\t-3.560000\n1391130889\t-3.560000\n1391131490\t-3.620000\n1391132090\t-3.620000\n1391132691\t-3.620000\n1391133291\t-3.690000\n1391133892\t-3.690000\n1391134492\t-3.750000\n1391135093\t-3.690000\n1391135693\t-3.690000\n1391136294\t-3.690000\n1391136894\t-3.690000\n1391137495\t-3.750000\n1391138096\t-3.690000\n1391138696\t-3.690000\n1391139297\t-3.690000\n1391139897\t-3.690000\n1391140498\t-3.620000\n1391141098\t-3.690000\n1391141699\t-3.690000\n1391142299\t-3.690000\n1391142915\t-3.620000\n1391143515\t-3.620000\n1391144116\t-3.560000\n1391144716\t-3.500000\n1391145317\t-3.500000\n1391145918\t-3.440000\n1391146518\t-3.500000\n1391147119\t-3.500000\n1391147719\t-3.500000\n1391148320\t-3.440000\n1391148920\t-3.380000\n1391149521\t-3.380000\n1391150121\t-3.310000\n1391150722\t-3.250000\n1391151323\t-3.190000\n1391151923\t-3.250000\n1391152524\t-3.250000\n1391153124\t-3.250000\n1391153725\t-3.250000\n1391154325\t-3.190000\n1391154926\t-3.190000\n1391155526\t-3.120000\n1391156126\t-3.120000\n1391156727\t-3.060000\n1391157328\t-3.000000\n1391157928\t-2.940000\n1391158529\t-2.880000\n1391159129\t-2.810000\n1391159730\t-2.750000\n1391160330\t-2.750000\n1391160946\t-2.690000\n1391161546\t-2.620000\n1391162147\t-2.560000\n1391162747\t-2.380000\n1391163348\t-2.250000\n1391163948\t-2.380000\n1391164549\t-2.440000\n1391165149\t-2.500000\n1391165750\t-2.440000\n1391166351\t-2.440000\n1391166951\t-2.310000\n1391167552\t-2.310000\n1391168152\t-2.380000\n1391168753\t-2.500000\n1391169353\t-2.560000\n1391169954\t-2.560000\n1391170554\t-2.560000\n1391171155\t-2.620000\n1391171755\t-2.750000\n1391172356\t-2.750000\n1391172957\t-2.750000\n1391173557\t-2.810000\n1391174157\t-2.810000\n1391174758\t-2.880000\n1391175358\t-2.940000\n1391175959\t-3.060000\n1391176559\t-3.060000\n1391177160\t-3.120000\n1391177760\t-3.190000\n1391178361\t-3.190000\n1391178976\t-3.190000\n1391179577\t-3.250000\n1391180177\t-3.310000\n1391180778\t-3.310000\n1391181379\t-3.380000\n1391181979\t-3.380000\n1391182580\t-3.310000\n1391183180\t-3.380000\n1391183781\t-3.440000\n1391184381\t-3.500000\n1391184982\t-3.500000\n1391185583\t-3.560000\n1391186183\t-3.690000\n1391186784\t-3.690000\n1391187384\t-3.750000\n1391187985\t-3.810000\n1391188585\t-3.880000\n1391189186\t-3.940000\n1391189786\t-3.940000\n1391190387\t-4.000000\n1391190987\t-4.000000\n1391191588\t-4.000000\n1391192188\t-4.000000\n1391192789\t-4.060000\n1391193390\t-4.060000\n1391193990\t-4.060000\n1391194591\t-4.060000\n1391195191\t-4.120000\n1391195792\t-4.120000\n1391196392\t-4.120000\n1391197008\t-4.190000\n1391197608\t-4.190000\n1391198209\t-4.190000\n1391198809\t-4.190000\n1391199410\t-4.190000\n1391200011\t-4.190000\n1391200611\t-4.120000\n1391201211\t-4.120000\n1391201812\t-4.120000\n1391202412\t-4.060000\n1391203013\t-4.060000\n1391203613\t-4.000000\n1391204214\t-4.000000\n1391204814\t-4.000000\n1391205415\t-3.940000\n1391206015\t-3.880000\n1391206616\t-3.880000\n1391207217\t-3.810000\n1391207817\t-3.810000\n1391208418\t-3.750000\n1391209018\t-3.690000\n1391209619\t-3.690000\n1391210219\t-3.620000\n1391210820\t-3.560000\n1391211420\t-3.500000\n1391212021\t-3.500000\n1391212621\t-3.500000\n1391213222\t-3.440000\n1391213837\t-3.440000\n1391214438\t-3.440000\n1391215038\t-3.380000\n1391215639\t-3.380000\n1391216239\t-3.310000\n1391216840\t-3.310000\n1391217440\t-3.310000\n1391218041\t-3.250000\n1391218641\t-3.250000\n1391219242\t-3.250000\n1391219842\t-3.250000\n1391220443\t-3.250000\n1391221044\t-3.190000\n1391221644\t-3.190000\n1391222245\t-3.120000\n1391222845\t-3.120000\n1391223446\t-3.120000\n1391224046\t-3.120000\n1391224647\t-3.060000\n1391225247\t-3.060000\n1391225848\t-3.060000\n1391226448\t-3.120000\n1391227049\t-3.060000\n1391227649\t-3.060000\n1391228250\t-3.060000\n1391228851\t-3.060000\n1391229451\t-3.060000\n1391230052\t-3.060000\n1391230652\t-3.060000\n1391231268\t-3.060000\n1391231868\t-3.060000\n1391232469\t-3.060000\n1391233069\t-3.060000\n1391233670\t-3.060000\n1391234270\t-3.000000\n1391234871\t-3.000000\n1391235472\t-3.000000\n1391236072\t-2.940000\n1391236673\t-2.940000\n1391237273\t-2.940000\n1391237874\t-2.940000\n1391238474\t-2.880000\n1391239075\t-2.880000\n1391239675\t-2.810000\n1391240276\t-2.750000\n1391240877\t-2.690000\n1391241477\t-2.560000\n1391242078\t-2.500000\n1391242678\t-2.440000\n1391243279\t-2.380000\n1391243879\t-2.190000\n1391244480\t-2.120000\n1391245080\t-2.000000\n1391245681\t-1.810000\n1391246281\t-1.620000\n1391246882\t-1.500000\n1391247483\t-1.380000\n1391248083\t-1.250000\n1391248684\t-1.190000\n1391249284\t-1.000000\n1391249885\t-0.880000\n1391250485\t-0.940000\n1391251101\t-0.810000\n1391251701\t-0.810000\n1391252302\t-0.690000\n1391252902\t-0.620000\n1391253503\t-0.500000\n1391254104\t-0.440000\n1391254704\t-0.440000\n1391255305\t-0.380000\n1391255905\t-0.310000\n1391256506\t-0.310000\n1391257106\t-0.190000\n1391257707\t-0.120000\n1391258307\t-0.060000\n1391258908\t0.000000\n1391259509\t0.060000\n1391260109\t0.120000\n1391260710\t0.190000\n1391261310\t0.120000\n1391261911\t0.250000\n1391262511\t0.310000\n1391263112\t0.310000\n1391263712\t0.310000\n1391264313\t0.310000\n1391264914\t0.310000\n1391265514\t0.380000\n1391266115\t0.380000\n1391266715\t0.380000\n1391267315\t0.310000\n1391267916\t0.380000\n1391268517\t0.380000\n1391269117\t0.380000\n1391269718\t0.440000\n1391270333\t0.440000\n1391270934\t0.440000\n1391271534\t0.500000\n1391272135\t0.560000\n1391272735\t0.500000\n1391273336\t0.500000\n1391273936\t0.620000\n1391274537\t0.620000\n1391275137\t0.560000\n1391275738\t0.560000\n1391276338\t0.620000\n1391276939\t0.690000\n1391277540\t0.620000\n1391278140\t0.690000\n1391278741\t0.690000\n1391279341\t0.690000\n1391279942\t0.690000\n1391280542\t0.750000\n1391281143\t0.690000\n1391281743\t0.690000\n1391282344\t0.620000\n1391282944\t0.690000\n1391283545\t0.690000\n1391284146\t0.750000\n1391284746\t0.690000\n1391285347\t0.690000\n1391285947\t0.690000\n1391286548\t0.690000\n1391287148\t0.690000\n1391287749\t0.750000\n1391288349\t0.690000\n1391288950\t0.690000\n1391289566\t0.690000\n1391290166\t0.750000\n1391290767\t0.690000\n1391291367\t0.690000\n1391291968\t0.690000\n1391292568\t0.690000\n1391293169\t0.690000\n1391293769\t0.690000\n1391294370\t0.690000\n1391294971\t0.690000\n1391295571\t0.690000\n1391296172\t0.690000\n1391296772\t0.690000\n1391297373\t0.750000\n1391297973\t0.750000\n1391298574\t0.750000\n1391299174\t0.750000\n1391299775\t0.750000\n1391300375\t0.750000\n1391300976\t0.750000\n1391301576\t0.690000\n1391302177\t0.690000\n1391302777\t0.750000\n1391303378\t0.690000\n1391303978\t0.750000\n1391304579\t0.750000\n1391305180\t0.690000\n1391305780\t0.690000\n1391306381\t0.750000\n1391306981\t0.750000\n1391307582\t0.750000\n1391308197\t0.750000\n1391308798\t0.750000\n1391309398\t0.810000\n1391309999\t0.810000\n1391310599\t0.880000\n1391311200\t0.880000\n1391311800\t0.880000\n1391312401\t0.880000\n1391313002\t0.940000\n1391313602\t0.940000\n1391314203\t0.940000\n1391314803\t0.880000\n1391315404\t0.880000\n1391316004\t0.810000\n1391316605\t0.810000\n1391317205\t0.810000\n1391317806\t0.880000\n1391318406\t0.880000\n1391319007\t0.880000\n1391319608\t0.810000\n1391320208\t0.810000\n1391320809\t0.880000\n1391321409\t0.880000\n1391322010\t0.880000\n1391322610\t0.940000\n1391323211\t0.940000\n1391323811\t0.880000\n1391324412\t0.940000\n1391325012\t1.000000\n1391325628\t1.000000\n1391326229\t1.190000\n1391326829\t1.250000\n1391327430\t1.310000\n1391328030\t1.310000\n1391328631\t1.440000\n1391329231\t1.560000\n1391329832\t1.750000\n1391330432\t1.810000\n1391331033\t1.880000\n1391331633\t1.940000\n1391332234\t2.000000\n1391332834\t2.120000\n1391333435\t2.120000\n1391334036\t2.250000\n1391334636\t2.250000\n1391335237\t2.310000\n1391335837\t2.500000\n1391336438\t2.620000\n1391337038\t2.620000\n1391337639\t2.750000\n1391338239\t2.810000\n1391338840\t2.880000\n1391339441\t3.000000\n1391340041\t3.120000\n1391340642\t3.000000\n1391341242\t2.940000\n1391341843\t3.120000\n1391342443\t3.060000\n1391343044\t3.060000\n1391343644\t2.880000\n1391344260\t2.940000\n1391344860\t2.940000\n1391345461\t2.940000\n1391346062\t2.880000\n1391346662\t2.690000\n1391347263\t2.620000\n1391347863\t2.620000\n1391348464\t2.500000\n1391349064\t2.500000\n1391349665\t2.500000\n1391350265\t2.250000\n1391350866\t1.940000\n1391351467\t1.940000\n1391352067\t1.810000\n1391352668\t1.810000\n1391353268\t1.750000\n1391353869\t1.750000\n1391354469\t1.690000\n1391355070\t1.620000\n1391355670\t1.620000\n1391356271\t1.620000\n1391356871\t1.560000\n1391357472\t1.560000\n1391358072\t1.560000\n1391358673\t1.620000\n1391359273\t1.620000\n1391359874\t1.620000\n1391360475\t1.620000\n1391361075\t1.620000\n1391361676\t1.620000\n1391362291\t1.620000\n1391362892\t1.620000\n1391363492\t1.620000\n1391364093\t1.620000\n1391364693\t1.560000\n1391365294\t1.560000\n1391365894\t1.500000\n1391366495\t1.560000\n1391367096\t1.560000\n1391367696\t1.560000\n1391368297\t1.560000\n1391368897\t1.560000\n1391369498\t1.560000\n1391370098\t1.560000\n1391370699\t1.500000\n1391371299\t1.620000\n1391371900\t1.620000\n1391372500\t1.620000\n1391373101\t1.560000\n1391373701\t1.560000\n1391374302\t1.500000\n1391374903\t1.440000\n1391375503\t1.690000\n1391376104\t1.560000\n1391376704\t1.500000\n1391377305\t1.440000\n1391377905\t1.380000\n1391378506\t1.310000\n1391379106\t1.250000\n1391379707\t1.250000\n1391380307\t1.310000\n1391380908\t1.380000\n1391381523\t1.380000\n1391382124\t1.250000\n1391382725\t1.250000\n1391383325\t1.190000\n1391383926\t1.120000\n1391384526\t0.940000\n1391385127\t0.810000\n1391385727\t0.620000\n1391386328\t0.690000\n1391386928\t0.750000\n1391387529\t0.620000\n1391388129\t0.440000\n1391388730\t0.440000\n1391389330\t0.500000\n1391389931\t0.560000\n1391390532\t0.620000\n1391391132\t0.750000\n1391391733\t0.810000\n1391392333\t0.810000\n1391392934\t0.880000\n1391393534\t0.880000\n1391394135\t0.880000\n1391394735\t0.810000\n1391395336\t0.810000\n1391395936\t0.750000\n1391396537\t0.880000\n1391397138\t1.060000\n1391397738\t1.190000\n1391398339\t1.250000\n1391398939\t1.190000\n1391399540\t1.190000\n1391400140\t1.250000\n1391400756\t1.250000\n1391401356\t1.250000\n1391401957\t1.310000\n1391402557\t1.310000\n1391403158\t1.380000\n1391403759\t1.310000\n1391404359\t1.310000\n1391404960\t1.380000\n1391405560\t1.380000\n1391406161\t1.440000\n1391406761\t1.560000\n1391407362\t1.810000\n1391407962\t1.880000\n1391408563\t1.880000\n1391409164\t1.810000\n1391409764\t1.810000\n1391410365\t1.810000\n1391410965\t1.750000\n1391411566\t1.690000\n1391412166\t1.690000\n1391412767\t1.560000\n1391413367\t1.560000\n1391413968\t1.690000\n1391414568\t2.000000\n1391415169\t2.190000\n1391415770\t2.120000\n1391416370\t2.190000\n1391416971\t2.500000\n1391417571\t2.880000\n1391418172\t2.810000\n1391418772\t2.690000\n1391419373\t2.810000\n1391419988\t2.880000\n1391420589\t2.880000\n1391421190\t3.380000\n1391421790\t3.690000\n1391422391\t3.880000\n1391422991\t3.940000\n1391423592\t3.750000\n1391424192\t3.750000\n1391424793\t3.940000\n1391425393\t3.940000\n1391425994\t4.000000\n1391426594\t4.060000\n1391427195\t3.750000\n1391427795\t3.620000\n1391428396\t3.690000\n1391428996\t3.620000\n1391429597\t3.690000\n1391430198\t3.690000\n1391430798\t3.810000\n1391431399\t3.880000\n1391431999\t3.620000\n1391432600\t3.690000\n1391433200\t3.440000\n1391433801\t3.250000\n1391434401\t3.440000\n1391435002\t3.500000\n1391435602\t3.500000\n1391436203\t3.500000\n1391436803\t3.690000\n1391437404\t3.500000\n1391438005\t3.310000\n1391438605\t3.190000\n1391439221\t2.940000\n1391439821\t2.810000\n1391440422\t2.620000\n1391441022\t2.620000\n1391441623\t2.690000\n1391442223\t2.500000\n1391442824\t2.500000\n1391443424\t2.380000\n1391444025\t2.250000\n1391444626\t2.190000\n1391445226\t2.310000\n1391445827\t2.120000\n1391446427\t2.060000\n1391447028\t2.000000\n1391447628\t2.120000\n1391448229\t2.190000\n1391448829\t2.000000\n1391449430\t2.060000\n1391450030\t2.060000\n1391450631\t2.000000\n1391451231\t2.060000\n1391451832\t2.060000\n1391452433\t2.000000\n1391453033\t2.000000\n1391453634\t1.940000\n1391454234\t1.810000\n1391454835\t1.940000\n1391455435\t2.060000\n1391456036\t2.000000\n1391456636\t2.000000\n1391457237\t2.060000\n1391457837\t2.000000\n1391458453\t1.880000\n1391459054\t1.690000\n1391459654\t1.560000\n1391460255\t1.440000\n1391460855\t1.310000\n1391461456\t1.120000\n1391462056\t1.060000\n1391462657\t1.000000\n1391463257\t1.060000\n1391463858\t1.120000\n1391464458\t1.120000\n1391465059\t1.190000\n1391465660\t1.250000\n1391466260\t1.250000\n1391466861\t1.000000\n1391467461\t0.880000\n1391468062\t0.690000\n1391468662\t0.500000\n1391469263\t0.250000\n1391469863\t0.190000\n1391470464\t0.190000\n1391471064\t0.060000\n1391471665\t0.120000\n1391472265\t0.120000\n1391472866\t0.190000\n1391473467\t0.190000\n1391474067\t0.250000\n1391474667\t0.250000\n1391475268\t0.250000\n1391475869\t0.190000\n1391476484\t0.190000\n1391477085\t0.060000\n1391477685\t0.000000\n1391478286\t-0.120000\n1391478886\t-0.060000\n1391479487\t0.000000\n1391480087\t-0.120000\n1391480688\t-0.310000\n1391481288\t-0.310000\n1391481889\t-0.250000\n1391482490\t-0.250000\n1391483090\t-0.310000\n1391483691\t-0.380000\n1391484291\t-0.380000\n1391484892\t-0.380000\n1391485492\t-0.380000\n1391486093\t-0.250000\n1391486693\t-0.250000\n1391487294\t-0.190000\n1391487895\t-0.120000\n1391488495\t0.000000\n1391489096\t0.060000\n1391489696\t0.060000\n1391490297\t0.120000\n1391490897\t0.190000\n1391491498\t0.250000\n1391492098\t0.310000\n1391492699\t0.380000\n1391493314\t0.440000\n1391493915\t0.500000\n1391494516\t0.560000\n1391495116\t0.620000\n1391495717\t0.620000\n1391496317\t0.690000\n1391496918\t0.690000\n1391497518\t0.750000\n1391498119\t0.750000\n1391498719\t0.750000\n1391499320\t0.810000\n1391499920\t0.880000\n1391500521\t0.940000\n1391501121\t1.000000\n1391501722\t1.060000\n1391502322\t1.120000\n1391502923\t1.190000\n1391503524\t1.120000\n1391504124\t1.120000\n1391504725\t1.250000\n1391505325\t1.250000\n1391505926\t1.310000\n1391506526\t1.440000\n1391507127\t1.500000\n1391507727\t1.690000\n1391508328\t1.940000\n1391508928\t1.940000\n1391509529\t2.000000\n1391510130\t2.310000\n1391510730\t2.440000\n1391511331\t2.310000\n1391511931\t2.250000\n1391512532\t2.250000\n1391513132\t2.310000\n1391513733\t2.310000\n1391514333\t2.190000\n1391514934\t2.000000\n1391515535\t2.000000\n1391516150\t2.000000\n1391516751\t1.880000\n1391517351\t1.940000\n1391517952\t1.810000\n1391518552\t1.620000\n1391519153\t1.690000\n1391519754\t1.620000\n1391520354\t1.620000\n1391520955\t1.620000\n1391521555\t1.560000\n1391522156\t1.560000\n1391522756\t1.500000\n1391523357\t1.440000\n1391523957\t1.440000\n1391524558\t1.380000\n1391525158\t1.380000\n1391525759\t1.310000\n1391526360\t1.250000\n1391526960\t1.190000\n1391527561\t1.120000\n1391528161\t1.060000\n1391528762\t1.060000\n1391529362\t1.060000\n1391529963\t1.060000\n1391530563\t1.000000\n1391531164\t1.000000\n1391531764\t1.000000\n1391532365\t0.940000\n1391532966\t0.940000\n1391533566\t0.940000\n1391534167\t0.940000\n1391534767\t0.940000\n1391535368\t0.880000\n1391535983\t0.880000\n1391536584\t0.880000\n1391537184\t0.880000\n1391537785\t0.880000\n1391538385\t0.880000\n1391538986\t0.880000\n1391539587\t0.880000\n1391540187\t0.880000\n1391540788\t0.810000\n1391541388\t0.810000\n1391541989\t0.810000\n1391542589\t0.810000\n1391543190\t0.810000\n1391543790\t0.810000\n1391544391\t0.810000\n1391544991\t0.810000\n1391545592\t0.810000\n1391546192\t0.750000\n1391546793\t0.750000\n1391547393\t0.750000\n1391547994\t0.750000\n1391548595\t0.750000\n1391549195\t0.750000\n1391549796\t0.750000\n1391550396\t0.690000\n1391550997\t0.750000\n1391551597\t0.750000\n1391552198\t0.690000\n1391552798\t0.690000\n1391553399\t0.690000\n1391554000\t0.690000\n1391554600\t0.620000\n1391555201\t0.690000\n1391555816\t0.690000\n1391556417\t0.620000\n1391557017\t0.690000\n1391557618\t0.690000\n1391558218\t0.620000\n1391558819\t0.620000\n1391559419\t0.560000\n1391560020\t0.560000\n1391560620\t0.440000\n1391561221\t0.440000\n1391561822\t0.440000\n1391562422\t0.440000\n1391563023\t0.500000\n1391563623\t0.440000\n1391564224\t0.380000\n1391564824\t0.380000\n1391565425\t0.440000\n1391566025\t0.440000\n1391566626\t0.440000\n1391567226\t0.440000\n1391567827\t0.500000\n1391568428\t0.500000\n1391569028\t0.440000\n1391569629\t0.440000\n1391570229\t0.440000\n1391570830\t0.310000\n1391571430\t0.380000\n1391572031\t0.380000\n1391572631\t0.380000\n1391573232\t0.440000\n1391573832\t0.310000\n1391574433\t0.310000\n1391575049\t0.250000\n1391575649\t0.190000\n1391576250\t0.250000\n1391576850\t0.250000\n1391577451\t0.250000\n1391578051\t0.250000\n1391578652\t0.310000\n1391579252\t0.310000\n1391579853\t0.250000\n1391580454\t0.250000\n1391581054\t0.310000\n1391581655\t0.310000\n1391582255\t0.190000\n1391582856\t0.120000\n1391583456\t0.190000\n1391584057\t0.190000\n1391584657\t0.250000\n1391585258\t0.310000\n1391585858\t0.380000\n1391586459\t0.310000\n1391587060\t0.380000\n1391587660\t0.380000\n1391588261\t0.500000\n1391588861\t0.500000\n1391589462\t0.690000\n1391590062\t0.810000\n1391590663\t0.940000\n1391591263\t1.060000\n1391591864\t1.190000\n1391592464\t1.310000\n1391593065\t1.310000\n1391593665\t1.250000\n1391594266\t1.310000\n1391594882\t1.310000\n1391595482\t1.310000\n1391596083\t1.310000\n1391596683\t1.380000\n1391597284\t1.560000\n1391597884\t1.690000\n1391598485\t1.690000\n1391599085\t1.810000\n1391599686\t1.940000\n1391600287\t1.940000\n1391600887\t1.880000\n1391601488\t1.750000\n1391602088\t1.690000\n1391602689\t1.500000\n1391603289\t1.810000\n1391603890\t1.810000\n1391604490\t2.190000\n1391605091\t2.310000\n1391605692\t1.880000\n1391606292\t1.620000\n1391606893\t1.500000\n1391608094\t1.310000\n1391608694\t1.190000\n1391609295\t1.060000\n1391609895\t0.940000\n1391610496\t0.880000\n1391611096\t0.810000\n1391611697\t0.750000\n1391612297\t0.620000\n1391612898\t0.560000\n1391613514\t0.500000\n1391614114\t0.380000\n1391614715\t0.310000\n1391615315\t0.380000\n1391615916\t0.310000\n1391616516\t0.250000\n1391617117\t0.190000\n1391617717\t0.060000\n1391618318\t-0.060000\n1391618918\t0.000000\n1391619519\t0.000000\n1391620119\t0.060000\n1391620720\t0.000000\n1391621321\t-0.060000\n1391621921\t0.000000\n1391622522\t0.060000\n1391623122\t0.060000\n1391623723\t0.060000\n1391624323\t0.060000\n1391624924\t0.060000\n1391625524\t0.000000\n1391626125\t0.060000\n1391626725\t0.000000\n1391627326\t0.000000\n1391627926\t0.060000\n1391628527\t0.060000\n1391629127\t0.060000\n1391629728\t0.060000\n1391630329\t0.060000\n1391630929\t0.060000\n1391631530\t0.060000\n1391632130\t0.060000\n1391632746\t0.120000\n1391633346\t0.190000\n1391633947\t0.190000\n1391634547\t0.190000\n1391635148\t0.190000\n1391635748\t0.190000\n1391636349\t0.190000\n1391636950\t0.190000\n1391637550\t0.190000\n1391638151\t0.190000\n1391638751\t0.190000\n1391639352\t0.190000\n1391639952\t0.250000\n1391640553\t0.250000\n1391641153\t0.250000\n1391641754\t0.250000\n1391642355\t0.250000\n1391642955\t0.250000\n1391643556\t0.250000\n1391644156\t0.190000\n1391644757\t0.190000\n1391645357\t0.190000\n1391645958\t0.190000\n1391646558\t0.190000\n1391647159\t0.190000\n1391647759\t0.190000\n1391648360\t0.190000\n1391648961\t0.190000\n1391649561\t0.250000\n1391650162\t0.190000\n1391650777\t0.190000\n1391651378\t0.190000\n1391651978\t0.190000\n1391652579\t0.190000\n1391653179\t0.190000\n1391653780\t0.190000\n1391654380\t0.190000\n1391654981\t0.190000\n1391655581\t0.190000\n1391656182\t0.190000\n1391656783\t0.250000\n1391657383\t0.250000\n1391657984\t0.250000\n1391658584\t0.250000\n1391659185\t0.250000\n1391659785\t0.250000\n1391660386\t0.250000\n1391660986\t0.250000\n1391661587\t0.250000\n1391662187\t0.250000\n1391662788\t0.250000\n1391663388\t0.190000\n1391663989\t0.250000\n1391664590\t0.190000\n1391665190\t0.190000\n1391665791\t0.190000\n1391666391\t0.190000\n1391666992\t0.190000\n1391667592\t0.190000\n1391668208\t0.250000\n1391668808\t0.250000\n1391669409\t0.250000\n1391670009\t0.190000\n1391670610\t0.250000\n1391671210\t0.250000\n1391671811\t0.310000\n1391672412\t0.380000\n1391673012\t0.440000\n1391673613\t0.500000\n1391674213\t0.500000\n1391674814\t0.560000\n1391675414\t0.560000\n1391676015\t0.690000\n1391676615\t0.750000\n1391677216\t0.880000\n1391677816\t0.940000\n1391678417\t0.940000\n1391679017\t1.060000\n1391679618\t1.190000\n1391680218\t1.310000\n1391680819\t1.380000\n1391681420\t1.380000\n1391682020\t1.310000\n1391682621\t1.250000\n1391683221\t1.190000\n1391683822\t1.380000\n1391684422\t1.310000\n1391685023\t1.380000\n1391685623\t1.380000\n1391686224\t1.310000\n1391686824\t1.380000\n1391687440\t1.440000\n1391688040\t1.500000\n1391688641\t1.440000\n1391689242\t1.440000\n1391689842\t1.440000\n1391690443\t1.380000\n1391691043\t1.250000\n1391691644\t1.380000\n1391692244\t1.500000\n1391692845\t1.500000\n1391693445\t1.440000\n1391694046\t1.440000\n1391694647\t1.380000\n1391695247\t1.310000\n1391695848\t1.120000\n1391696448\t1.060000\n1391696843\t1.060000\n1391701047\t0.620000\n1391701647\t0.620000\n1391702248\t0.560000\n1391702848\t0.560000\n1391703449\t0.500000\n1391704050\t0.440000\n1391704650\t0.440000\n1391705251\t0.440000\n1391705851\t0.440000\n1391706452\t0.440000\n1391707052\t0.440000\n1391707653\t0.440000\n1391708253\t0.380000\n1391708854\t0.440000\n1391709454\t0.440000\n1391710055\t0.440000\n1391710670\t0.440000\n1391711271\t0.440000\n1391711871\t0.440000\n1391712472\t0.440000\n1391713072\t0.440000\n1391713673\t0.500000\n1391714273\t0.500000\n1391714874\t0.560000\n1391715474\t0.560000\n1391716075\t0.560000\n1391716675\t0.560000\n1391717276\t0.620000\n1391717876\t0.620000\n1391718477\t0.690000\n1391719078\t0.620000\n1391719678\t0.620000\n1391720279\t0.690000\n1391720879\t0.690000\n1391721480\t0.690000\n1391722080\t0.810000\n1391722681\t0.810000\n1391723281\t0.880000\n1391723882\t0.940000\n1391724482\t0.940000\n1391725083\t0.940000\n1391725683\t1.000000\n1391726284\t1.060000\n1391726884\t1.060000\n1391727485\t1.120000\n1391728085\t1.120000\n1391728686\t1.250000\n1391729287\t1.190000\n1391729887\t1.250000\n1391730488\t1.190000\n1391731088\t1.310000\n1391731689\t1.250000\n1391732304\t1.310000\n1391732905\t1.380000\n1391733505\t1.310000\n1391734106\t1.500000\n1391734706\t1.500000\n1391735307\t1.560000\n1391735907\t1.560000\n1391736508\t1.560000\n1391737108\t1.560000\n1391737709\t1.560000\n1391738309\t1.560000\n1391738910\t1.620000\n1391739511\t1.690000\n1391740111\t1.620000\n1391740712\t1.620000\n1391741312\t1.690000\n1391741913\t1.690000\n1391742513\t1.690000\n1391743114\t1.880000\n1391743714\t1.810000\n1391744315\t1.810000\n1391744915\t1.810000\n1391745516\t1.880000\n1391746116\t1.880000\n1391746717\t1.880000\n1391747317\t1.880000\n1391747918\t1.750000\n1391748518\t1.690000\n1391749119\t1.750000\n1391749719\t1.690000\n1391750320\t1.810000\n1391750921\t1.750000\n1391751521\t1.940000\n1391752122\t1.810000\n1391752722\t1.810000\n1391753323\t1.880000\n1391753938\t1.880000\n1391754539\t1.750000\n1391755139\t1.810000\n1391755739\t1.690000\n1391756340\t1.560000\n1391756941\t1.690000\n1391757541\t1.690000\n1391758142\t1.690000\n1391758742\t1.750000\n1391759343\t1.690000\n1391759943\t1.750000\n1391760544\t1.810000\n1391761144\t1.810000\n1391761745\t1.810000\n1391762345\t1.880000\n1391762946\t1.880000\n1391763546\t1.940000\n1391764147\t1.940000\n1391764747\t1.940000\n1391765348\t2.000000\n1391765948\t2.060000\n1391766549\t2.120000\n1391767150\t2.250000\n1391767750\t2.380000\n1391768351\t2.440000\n1391768951\t2.560000\n1391769552\t2.620000\n1391770152\t2.750000\n1391770753\t2.880000\n1391771353\t2.940000\n1391771954\t3.060000\n1391772554\t3.250000\n1391773155\t3.250000\n1391773755\t3.310000\n1391774356\t3.440000\n1391774956\t3.500000\n1391775572\t3.380000\n1391776173\t3.190000\n1391776773\t3.060000\n1391777373\t2.940000\n1391777974\t2.810000\n1391778575\t2.810000\n1391779175\t2.690000\n1391779776\t2.620000\n1391780376\t2.560000\n1391780977\t2.440000\n1391781577\t2.380000\n1391782178\t2.310000\n1391782778\t2.250000\n1391783379\t2.190000\n1391783979\t2.060000\n1391784580\t1.940000\n1391785180\t1.810000\n1391785781\t1.690000\n1391786381\t1.500000\n1391786982\t1.250000\n1391787582\t1.190000\n1391788183\t1.120000\n1391788783\t1.060000\n1391789384\t1.060000\n1391789984\t1.000000\n1391790585\t1.060000\n1391791185\t1.060000\n1391791786\t1.060000\n1391792386\t1.120000\n1391792987\t1.120000\n1391793588\t1.120000\n1391794203\t1.190000\n1391794804\t1.250000\n1391795404\t1.250000\n1391796005\t1.250000\n1391796605\t1.310000\n1391797206\t1.250000\n1391797806\t1.310000\n1391798407\t1.310000\n1391799007\t1.250000\n1391799608\t1.310000\n1391800208\t1.310000\n1391800809\t1.310000\n1391801409\t1.380000\n1391802010\t1.380000\n1391802610\t1.380000\n1391803211\t1.440000\n1391803812\t1.440000\n1391804412\t1.500000\n1391805013\t1.560000\n1391805613\t1.620000\n1391806214\t1.690000\n1391806814\t1.750000\n1391807415\t1.750000\n1391808015\t1.880000\n1391808616\t1.810000\n1391809216\t1.810000\n1391809817\t1.810000\n1391810417\t1.810000\n1391811018\t1.810000\n1391811618\t1.810000\n1391812219\t1.750000\n1391812835\t1.750000\n1391813435\t1.810000\n1391814036\t1.880000\n1391814636\t1.940000\n1391815237\t1.940000\n1391815837\t1.940000\n1391816438\t2.000000\n1391817038\t2.120000\n1391817639\t2.120000\n1391818239\t2.120000\n1391818840\t2.190000\n1391819440\t2.250000\n1391820041\t2.190000\n1391820641\t2.190000\n1391821242\t2.190000\n1391821842\t2.250000\n1391822443\t2.250000\n1391823044\t2.250000\n1391823644\t2.310000\n1391824245\t2.380000\n1391824845\t2.250000\n1391825446\t2.250000\n1391826046\t2.380000\n1391826647\t2.310000\n1391827247\t2.310000\n1391827848\t2.440000\n1391828448\t2.440000\n1391829049\t2.500000\n1391829649\t2.620000\n1391830250\t2.620000\n1391830850\t2.690000\n1391831451\t2.810000\n1391832066\t2.880000\n1391832667\t2.880000\n1391833267\t2.940000\n1391833868\t2.940000\n1391834468\t2.940000\n1391835069\t3.000000\n1391835670\t2.940000\n1391836270\t2.880000\n1391836871\t2.880000\n1391837471\t2.810000\n1391838072\t2.810000\n1391838672\t2.750000\n1391839273\t2.750000\n1391839873\t2.810000\n1391840474\t2.810000\n1391841074\t2.690000\n1391841675\t2.750000\n1391842275\t2.690000\n1391842876\t2.690000\n1391843476\t2.690000\n1391844077\t2.690000\n1391844678\t2.750000\n1391845278\t2.690000\n1391845878\t2.750000\n1391846479\t2.750000\n1391847080\t2.810000\n1391847695\t2.880000\n1391848296\t2.940000\n1391848896\t2.880000\n1391849497\t3.000000\n1391850097\t3.060000\n1391850698\t3.250000\n1391851298\t3.250000\n1391851899\t3.250000\n1391852499\t3.250000\n1391853100\t3.250000\n1391853701\t3.310000\n1391854301\t3.440000\n1391854902\t3.560000\n1391855502\t3.500000\n1391856103\t3.690000\n1391856703\t3.620000\n1391857304\t3.690000\n1391857904\t3.810000\n1391858505\t3.880000\n1391859105\t3.880000\n1391859706\t3.880000\n1391860306\t3.880000\n1391860907\t3.880000\n1391861508\t3.880000\n1391862108\t4.000000\n1391862709\t3.940000\n1391863309\t4.000000\n1391863910\t4.120000\n1391864510\t4.060000\n1391865126\t4.000000\n1391865726\t3.940000\n1391866327\t4.000000\n1391866927\t3.940000\n1391867528\t3.880000\n1391868128\t3.940000\n1391868729\t4.060000\n1391869329\t4.120000\n1391869930\t4.250000\n1391870530\t4.190000\n1391871131\t4.190000\n1391871732\t4.000000\n1391872332\t3.690000\n1391872933\t3.380000\n1391873533\t3.250000\n1391874134\t2.940000\n1391874734\t2.620000\n1391875335\t2.440000\n1391875935\t2.310000\n1391876536\t1.940000\n1391877136\t1.810000\n1391877737\t1.690000\n1391878337\t1.690000\n1391878938\t1.750000\n1391879539\t1.620000\n1391880139\t1.380000\n1391880740\t1.250000\n1391881340\t1.190000\n1391881941\t0.940000\n1391882556\t0.810000\n1391883157\t0.750000\n1391883757\t0.750000\n1391884358\t0.810000\n1391884959\t0.940000\n1391885559\t1.060000\n1391886160\t0.940000\n1391886760\t0.880000\n1391887361\t0.940000\n1391887961\t1.120000\n1391888562\t1.380000\n1391889162\t1.620000\n1391889763\t1.620000\n1391890363\t1.620000\n1391890964\t1.620000\n1391891564\t1.620000\n1391892165\t1.560000\n1391892766\t1.620000\n1391893366\t1.690000\n1391893967\t1.690000\n1391894567\t1.750000\n1391895167\t1.810000\n1391895768\t1.810000\n1391896368\t1.940000\n1391896969\t1.940000\n1391897569\t2.000000\n1391898170\t2.060000\n1391898771\t2.060000\n1391899371\t2.060000\n1391899972\t2.060000\n1391900572\t2.060000\n1391901188\t2.060000\n1391901788\t2.060000\n1391902389\t2.120000\n1391902989\t2.060000\n1391903590\t2.060000\n1391904190\t2.120000\n1391904791\t2.120000\n1391905391\t2.060000\n1391905992\t2.120000\n1391906592\t2.120000\n1391907193\t2.120000\n1391907793\t2.120000\n1391908394\t2.120000\n1391908994\t2.120000\n1391909595\t2.120000\n1391910196\t2.120000\n1391910796\t2.060000\n1391911397\t2.120000\n1391911997\t2.120000\n1391912598\t2.060000\n1391913198\t2.120000\n1391913799\t2.120000\n1391914399\t2.120000\n1391915000\t2.190000\n1391915600\t2.190000\n1391916201\t2.190000\n1391916801\t2.190000\n1391917402\t2.190000\n1391918002\t2.190000\n1391918603\t2.190000\n1391919203\t2.190000\n1391919819\t2.190000\n1391920419\t2.120000\n1391921020\t2.120000\n1391921621\t2.120000\n1391922221\t2.060000\n1391922822\t2.120000\n1391923422\t2.120000\n1391924023\t2.120000\n1391924623\t2.190000\n1391925224\t2.120000\n1391925824\t2.120000\n1391926425\t2.120000\n1391927025\t2.000000\n1391927626\t2.000000\n1391928226\t1.940000\n1391928827\t1.880000\n1391929427\t1.880000\n1391930028\t1.880000\n1391930629\t1.880000\n1391931229\t1.880000\n1391931830\t1.810000\n1391932430\t1.810000\n1391933031\t1.750000\n1391933631\t1.810000\n1391934232\t1.810000\n1391934832\t1.810000\n1391935433\t2.000000\n1391936048\t2.060000\n1391936649\t2.120000\n1391937249\t2.120000\n1391937850\t2.120000\n1391938450\t2.190000\n1391939051\t2.190000\n1391939651\t2.250000\n1391940252\t2.310000\n1391940853\t2.440000\n1391941453\t2.620000\n1391942054\t2.690000\n1391942654\t2.690000\n1391943255\t2.750000\n1391943855\t2.690000\n1391944456\t2.560000\n1391945056\t2.560000\n1391945657\t2.440000\n1391946257\t2.440000\n1391946858\t2.380000\n1391947458\t2.380000\n1391948059\t2.310000\n1391948659\t2.380000\n1391949260\t2.310000\n1391949860\t2.310000\n1391950461\t2.250000\n1391951061\t2.250000\n1391951662\t2.250000\n1391952263\t2.250000\n1391952878\t2.440000\n1391953479\t3.060000\n1391954079\t3.120000\n1391954680\t2.940000\n1391955280\t2.750000\n1391955881\t2.690000\n1391956481\t2.620000\n1391957082\t2.620000\n1391957682\t2.620000\n1391958283\t2.620000\n1391958883\t2.560000\n1391959484\t2.440000\n1391960084\t2.440000\n1391960685\t2.440000\n1391961286\t2.500000\n1391961886\t2.500000\n1391962487\t2.560000\n1391963087\t2.560000\n1391963688\t2.500000\n1391964288\t2.560000\n1391964889\t2.620000\n1391965489\t2.690000\n1391966090\t2.750000\n1391966690\t2.750000\n1391967291\t2.750000\n1391967891\t2.750000\n1391968492\t2.750000\n1391969093\t2.690000\n1391969693\t2.500000\n1391970294\t2.500000\n1391970894\t2.620000\n1391971495\t2.620000\n1391972110\t2.750000\n1391972711\t2.810000\n1391973311\t2.810000\n1391973912\t2.880000\n1391974512\t2.810000\n1391975113\t2.810000\n1391975713\t2.810000\n1391976314\t2.810000\n1391976914\t2.880000\n1391977515\t2.880000\n1391978115\t2.880000\n1391978716\t2.880000\n1391979317\t2.880000\n1391979917\t2.750000\n1391980518\t2.620000\n1391981118\t2.440000\n1391981719\t2.310000\n1391982319\t2.190000\n1391982920\t2.120000\n1391983520\t2.120000\n1391984121\t2.120000\n1391984721\t2.060000\n1391985322\t2.060000\n1391985922\t2.060000\n1391986523\t2.000000\n1391987124\t2.120000\n1391987724\t2.190000\n1391988325\t2.190000\n1391988925\t2.060000\n1391989526\t2.000000\n1391990141\t2.000000\n1391990742\t1.880000\n1391991342\t1.880000\n1391991943\t1.940000\n1391992543\t2.060000\n1391993144\t2.120000\n1391993744\t2.250000\n1391994345\t2.250000\n1391994945\t2.310000\n1391995546\t2.310000\n1391996146\t2.380000\n1391996747\t2.380000\n1391997347\t2.440000\n1391997948\t2.380000\n1391998549\t2.380000\n1391999149\t2.440000\n1391999750\t2.440000\n1392000350\t2.440000\n1392000951\t2.440000\n1392001551\t2.500000\n1392002152\t2.560000\n1392002752\t2.560000\n1392003353\t2.500000\n1392003953\t2.500000\n1392004554\t2.440000\n1392005154\t2.440000\n1392005770\t2.500000\n1392006370\t2.440000\n1392006971\t2.380000\n1392007571\t2.380000\n1392008172\t2.310000\n1392008772\t2.380000\n1392009373\t2.380000\n1392009973\t2.500000\n1392010574\t2.500000\n1392011175\t2.440000\n1392011775\t2.440000\n1392012376\t2.380000\n1392012976\t2.380000\n1392013577\t2.380000\n1392014177\t2.440000\n1392014778\t2.380000\n1392015378\t2.500000\n1392015979\t2.620000\n1392016579\t2.620000\n1392017180\t2.620000\n1392017780\t2.810000\n1392018381\t2.940000\n1392018981\t3.000000\n1392019582\t2.940000\n1392020182\t2.810000\n1392020783\t2.880000\n1392021384\t2.880000\n1392021984\t3.060000\n1392022584\t3.440000\n1392023185\t3.560000\n1392023801\t3.690000\n1392024401\t3.810000\n1392025002\t4.060000\n1392025602\t4.120000\n1392026203\t4.000000\n1392026803\t4.000000\n1392027404\t4.120000\n1392028004\t4.000000\n1392028605\t4.000000\n1392029205\t4.060000\n1392029806\t4.310000\n1392030406\t4.500000\n1392031007\t4.690000\n1392031607\t4.880000\n1392032208\t4.940000\n1392032808\t4.690000\n1392033409\t4.620000\n1392034009\t4.620000\n1392034610\t4.750000\n1392035210\t4.750000\n1392035811\t4.750000\n1392036411\t4.750000\n1392037012\t4.810000\n1392037613\t4.750000\n1392038213\t4.750000\n1392038814\t4.750000\n1392039414\t4.620000\n1392040015\t4.500000\n1392040615\t4.380000\n1392041216\t4.310000\n1392041816\t4.190000\n1392042432\t4.060000\n1392043032\t4.000000\n1392043633\t3.880000\n1392044234\t3.810000\n1392044834\t3.690000\n1392045435\t3.620000\n1392046035\t3.560000\n1392046636\t3.440000\n1392047236\t3.440000\n1392047837\t3.440000\n1392048437\t3.380000\n1392049038\t3.310000\n1392049638\t3.250000\n1392050239\t3.190000\n1392050839\t3.190000\n1392051440\t3.190000\n1392052040\t3.190000\n1392052641\t3.250000\n1392053241\t3.250000\n1392053842\t3.250000\n1392054442\t3.310000\n1392055043\t3.310000\n1392055643\t3.190000\n1392056244\t3.190000\n1392056845\t3.190000\n1392057445\t3.250000\n1392058045\t3.250000\n1392058661\t3.250000\n1392059262\t3.310000\n1392059862\t3.380000\n1392060463\t3.380000\n1392061063\t3.380000\n1392061664\t3.250000\n1392062264\t3.190000\n1392062865\t3.190000\n1392063465\t3.190000\n1392064066\t3.310000\n1392064666\t3.250000\n1392065267\t3.250000\n1392065867\t3.190000\n1392066468\t3.120000\n1392067068\t3.120000\n1392067669\t3.060000\n1392068269\t3.000000\n1392068870\t2.750000\n1392069471\t2.560000\n1392070071\t2.380000\n1392070672\t2.250000\n1392071272\t2.120000\n1392071873\t2.060000\n1392072473\t2.000000\n1392073074\t2.000000\n1392073674\t1.940000\n1392074275\t1.690000\n1392074875\t1.500000\n1392075476\t1.500000\n1392076076\t1.440000\n1392076692\t1.250000\n1392077292\t1.120000\n1392077893\t1.000000\n1392078493\t0.940000\n1392079094\t0.880000\n1392079694\t0.810000\n1392080295\t0.750000\n1392080895\t0.750000\n1392081496\t0.750000\n1392082097\t0.750000\n1392082697\t0.810000\n1392083298\t0.750000\n1392083898\t0.690000\n1392084499\t0.810000\n1392085099\t0.940000\n1392085700\t1.000000\n1392086300\t1.120000\n1392086901\t1.190000\n1392087501\t1.250000\n1392088102\t1.250000\n1392088702\t1.310000\n1392089303\t1.250000\n1392089903\t1.250000\n1392090504\t1.190000\n1392091104\t1.120000\n1392091705\t1.120000\n1392092305\t0.940000\n1392092906\t0.810000\n1392093507\t0.750000\n1392094107\t0.750000\n1392094723\t0.810000\n1392095323\t0.810000\n1392095924\t0.880000\n1392096524\t0.940000\n1392097125\t0.940000\n1392097725\t0.810000\n1392098326\t0.810000\n1392098926\t0.750000\n1392099527\t0.810000\n1392100127\t0.810000\n1392100728\t0.880000\n1392101328\t0.880000\n1392101929\t0.750000\n1392102529\t0.810000\n1392103130\t0.810000\n1392103731\t0.880000\n1392104331\t1.060000\n1392104932\t1.060000\n1392105532\t1.120000\n1392106133\t1.190000\n1392106733\t1.250000\n1392107334\t1.310000\n1392107934\t1.500000\n1392108535\t1.440000\n1392109135\t1.500000\n1392109736\t1.500000\n1392110336\t1.560000\n1392110937\t1.750000\n1392111538\t1.940000\n1392112138\t2.060000\n1392112739\t2.060000\n1392113354\t2.250000\n1392113955\t2.190000\n1392114555\t2.310000\n1392115156\t2.310000\n1392115756\t2.440000\n1392116357\t2.380000\n1392116957\t2.380000\n1392117558\t2.380000\n1392118158\t2.380000\n1392118759\t2.440000\n1392119359\t2.560000\n1392119960\t2.690000\n1392120560\t2.750000\n1392121161\t2.750000\n1392121761\t2.880000\n1392122362\t3.000000\n1392122962\t2.940000\n1392123563\t2.940000\n1392124163\t3.000000\n1392124764\t2.940000\n1392125365\t2.940000\n1392125965\t2.880000\n1392126566\t2.810000\n1392127166\t2.810000\n1392127767\t2.810000\n1392128367\t2.690000\n1392128968\t2.690000\n1392129568\t2.620000\n1392130169\t2.560000\n1392130769\t2.440000\n1392131370\t2.380000\n1392131970\t2.310000\n1392132586\t2.190000\n1392133186\t2.120000\n1392133787\t2.120000\n1392134387\t2.060000\n1392134988\t1.940000\n1392135589\t1.880000\n1392136189\t1.880000\n1392136790\t1.810000\n1392137390\t1.750000\n1392137990\t1.750000\n1392138591\t1.690000\n1392139192\t1.560000\n1392139792\t1.440000\n1392140393\t1.440000\n1392140993\t1.380000\n1392141594\t1.310000\n1392142194\t1.250000\n1392142795\t1.190000\n1392143395\t1.120000\n1392143996\t1.120000\n1392144596\t1.190000\n1392145197\t1.250000\n1392145797\t1.310000\n1392146398\t1.310000\n1392146998\t1.310000\n1392147599\t1.310000\n1392148199\t1.310000\n1392148800\t1.250000\n1392149400\t1.250000\n1392150001\t1.310000\n1392150601\t1.310000\n1392151202\t1.310000\n1392151802\t1.310000\n1392152418\t1.310000\n1392153019\t1.310000\n1392153619\t1.310000\n1392154220\t1.310000\n1392154820\t1.310000\n1392155421\t1.250000\n1392156021\t1.310000\n1392156622\t1.310000\n1392157222\t1.250000\n1392157823\t1.310000\n1392158423\t1.250000\n1392159024\t1.250000\n1392159624\t1.250000\n1392160225\t1.250000\n1392160826\t1.250000\n1392161426\t1.310000\n1392162027\t1.250000\n1392162627\t1.250000\n1392163228\t1.250000\n1392163828\t1.190000\n1392164429\t1.120000\n1392165029\t1.120000\n1392165630\t1.120000\n1392166230\t1.120000\n1392166831\t1.120000\n1392167431\t1.190000\n1392168032\t1.190000\n1392168632\t1.120000\n1392169233\t1.190000\n1392169848\t1.190000\n1392170449\t1.190000\n1392171050\t1.190000\n1392171650\t1.120000\n1392172251\t1.190000\n1392172851\t1.120000\n1392173452\t1.120000\n1392174052\t1.120000\n1392174653\t1.060000\n1392175253\t1.120000\n1392175854\t1.060000\n1392176454\t1.000000\n1392177055\t0.940000\n1392177655\t1.060000\n1392178256\t1.060000\n1392178856\t1.060000\n1392179457\t1.060000\n1392180058\t1.060000\n1392180658\t1.060000\n1392181259\t1.000000\n1392181859\t1.060000\n1392182460\t1.060000\n1392183060\t1.060000\n1392183661\t1.060000\n1392184261\t1.060000\n1392184862\t1.060000\n1392185462\t0.940000\n1392186063\t1.000000\n1392186664\t1.060000\n1392187264\t1.060000\n1392187865\t1.120000\n1392188465\t1.120000\n1392189066\t1.120000\n1392189681\t1.190000\n1392190282\t1.250000\n1392190882\t1.310000\n1392191483\t1.310000\n1392192083\t1.380000\n1392192684\t1.380000\n1392193284\t1.380000\n1392193885\t1.440000\n1392194485\t1.500000\n1392195086\t1.500000\n1392195687\t1.500000\n1392196287\t1.500000\n1392196888\t1.560000\n1392197488\t1.620000\n1392198089\t1.750000\n1392198689\t1.810000\n1392199290\t1.880000\n1392199890\t2.000000\n1392200491\t2.060000\n1392201091\t2.190000\n1392201692\t2.380000\n1392202293\t2.500000\n1392202893\t2.500000\n1392203494\t2.560000\n1392204094\t2.560000\n1392204695\t2.560000\n1392205295\t2.620000\n1392205896\t2.750000\n1392206496\t2.880000\n1392207097\t2.940000\n1392207697\t3.060000\n1392208298\t3.060000\n1392208914\t3.000000\n1392209514\t3.000000\n1392210115\t2.940000\n1392210715\t3.000000\n1392211316\t3.120000\n1392211916\t3.190000\n1392212517\t3.190000\n1392213117\t3.060000\n1392213718\t3.060000\n1392214318\t3.060000\n1392214919\t3.060000\n1392215519\t3.060000\n1392216120\t3.000000\n1392216720\t2.940000\n1392217321\t2.810000\n1392217922\t2.750000\n1392218522\t2.690000\n1392219123\t2.620000\n1392219723\t2.440000\n1392220324\t2.190000\n1392220924\t1.940000\n1392221524\t1.810000\n1392222125\t1.810000\n1392222726\t1.880000\n1392223326\t2.000000\n1392223942\t2.190000\n1392224542\t2.190000\n1392225143\t2.250000\n1392225743\t2.250000\n1392226344\t2.120000\n1392226944\t2.120000\n1392227545\t2.120000\n1392228145\t2.060000\n1392228746\t2.120000\n1392229346\t2.060000\n1392229947\t2.120000\n1392230547\t2.120000\n1392231148\t2.120000\n1392231748\t2.190000\n1392232349\t2.120000\n1392232949\t2.190000\n1392233550\t2.190000\n1392234151\t2.120000\n1392234751\t2.000000\n1392235352\t1.940000\n1392235952\t1.940000\n1392236553\t1.940000\n1392237153\t1.880000\n1392237754\t1.750000\n1392238354\t1.560000\n1392238955\t1.380000\n1392239555\t1.250000\n1392240156\t1.120000\n1392240756\t0.880000\n1392241357\t0.750000\n1392241972\t0.560000\n1392242573\t0.560000\n1392243174\t0.380000\n1392243774\t0.250000\n1392244375\t0.250000\n1392244975\t0.250000\n1392245576\t0.190000\n1392246176\t0.120000\n1392246777\t0.060000\n1392247377\t-0.060000\n1392247978\t-0.120000\n1392248578\t-0.060000\n1392249179\t-0.060000\n1392249779\t-0.250000\n1392250380\t-0.310000\n1392250980\t-0.440000\n1392251581\t-0.500000\n1392252182\t-0.440000\n1392252782\t-0.440000\n1392253383\t-0.440000\n1392253983\t-0.560000\n1392254584\t-0.440000\n1392255184\t-0.310000\n1392255785\t-0.120000\n1392256385\t0.000000\n1392256986\t0.000000\n1392257586\t0.060000\n1392258187\t0.060000\n1392258787\t0.120000\n1392259388\t0.060000\n1392259988\t0.000000\n1392260589\t0.000000\n1392261204\t0.060000\n1392261805\t0.120000\n1392262406\t0.120000\n1392263006\t0.190000\n1392263607\t0.190000\n1392264207\t0.190000\n1392264808\t0.250000\n1392265408\t0.250000\n1392266009\t0.380000\n1392266609\t0.380000\n1392267210\t0.310000\n1392267810\t0.250000\n1392268411\t0.250000\n1392269011\t0.380000\n1392269612\t0.380000\n1392270212\t0.440000\n1392270813\t0.500000\n1392271414\t0.500000\n1392272014\t0.620000\n1392272615\t0.620000\n1392273215\t0.690000\n1392273816\t0.750000\n1392274416\t0.750000\n1392275017\t0.750000\n1392275617\t0.810000\n1392276218\t0.810000\n1392276818\t0.880000\n1392277434\t0.940000\n1392278034\t0.940000\n1392278635\t1.060000\n1392279236\t1.060000\n1392279836\t1.120000\n1392280437\t1.250000\n1392281037\t1.380000\n1392281638\t1.440000\n1392282238\t1.500000\n1392282839\t1.620000\n1392283439\t1.690000\n1392284040\t1.810000\n1392284640\t1.940000\n1392285241\t2.000000\n1392285841\t2.060000\n1392286442\t2.060000\n1392287042\t2.060000\n1392287643\t2.060000\n1392288243\t1.940000\n1392288844\t1.810000\n1392289445\t1.750000\n1392290045\t1.690000\n1392290646\t1.620000\n1392291246\t1.690000\n1392291847\t1.750000\n1392292447\t1.810000\n1392293048\t1.940000\n1392293648\t2.190000\n1392294249\t2.380000\n1392294849\t2.310000\n1392295450\t2.250000\n1392296065\t2.120000\n1392296666\t2.120000\n1392297267\t2.560000\n1392297867\t2.500000\n1392298468\t2.380000\n1392299068\t2.310000\n1392299669\t2.380000\n1392300269\t2.310000\n1392300870\t2.250000\n1392301470\t2.250000\n1392302071\t2.250000\n1392302671\t2.250000\n1392303272\t2.190000\n1392303872\t2.190000\n1392304473\t2.120000\n1392305073\t2.190000\n1392305674\t2.120000\n1392306274\t2.120000\n1392306875\t2.120000\n1392307476\t2.120000\n1392308076\t2.120000\n1392308677\t2.060000\n1392309277\t2.060000\n1392309878\t2.060000\n1392310478\t2.120000\n1392311079\t2.120000\n1392311679\t2.060000\n1392312280\t2.120000\n1392312880\t2.120000\n1392313481\t2.120000\n1392314081\t2.120000\n1392314697\t2.190000\n1392315297\t2.190000\n1392315898\t2.120000\n1392316499\t2.190000\n1392317099\t2.120000\n1392317700\t1.880000\n1392318300\t1.750000\n1392318901\t1.810000\n1392319501\t1.880000\n1392320102\t1.940000\n1392320702\t2.000000\n1392321303\t2.060000\n1392321903\t1.940000\n1392322504\t2.060000\n1392323104\t2.190000\n1392323705\t2.190000\n1392324305\t2.120000\n1392324906\t2.000000\n1392325506\t1.750000\n1392326107\t1.620000\n1392326707\t1.750000\n1392327308\t1.810000\n1392327908\t1.560000\n1392328509\t1.440000\n1392329110\t1.380000\n1392329710\t1.250000\n1392330311\t1.250000\n1392330911\t1.250000\n1392331512\t1.190000\n1392332112\t1.250000\n1392332713\t1.190000\n1392333328\t1.120000\n1392333929\t1.060000\n1392334529\t1.120000\n1392335130\t1.060000\n1392335730\t1.060000\n1392336331\t1.000000\n1392336932\t1.000000\n1392337532\t0.940000\n1392338133\t0.880000\n1392338733\t0.810000\n1392339334\t0.880000\n1392339934\t0.810000\n1392340535\t0.810000\n1392341135\t0.810000\n1392341736\t0.810000\n1392342336\t0.880000\n1392342937\t0.810000\n1392343537\t0.810000\n1392344138\t0.810000\n1392344738\t0.750000\n1392345339\t0.690000\n1392345939\t0.690000\n1392346540\t0.690000\n1392347141\t0.690000\n1392347741\t0.750000\n1392348342\t0.750000\n1392348942\t0.690000\n1392349543\t0.750000\n1392350143\t0.750000\n1392350744\t0.810000\n1392351344\t0.880000\n1392351960\t0.880000\n1392352560\t0.880000\n1392353161\t0.940000\n1392353761\t0.940000\n1392354362\t0.940000\n1392354962\t0.940000\n1392355563\t0.940000\n1392356164\t0.940000\n1392356764\t1.000000\n1392357365\t1.000000\n1392357965\t1.000000\n1392358566\t1.000000\n1392359166\t1.000000\n1392359767\t1.000000\n1392360367\t1.000000\n1392360968\t1.000000\n1392361568\t0.940000\n1392362169\t1.060000\n1392362769\t1.060000\n1392363370\t1.060000\n1392363970\t1.060000\n1392364571\t1.120000\n1392365171\t1.250000\n1392365772\t1.250000\n1392366372\t1.440000\n1392366973\t1.620000\n1392367573\t1.620000\n1392368174\t1.620000\n1392368774\t1.750000\n1392369375\t1.880000\n1392369990\t1.880000\n1392370591\t1.940000\n1392371192\t2.060000\n1392371792\t2.190000\n1392372393\t2.440000\n1392372993\t2.690000\n1392373594\t2.810000\n1392374194\t2.810000\n1392374795\t2.750000\n1392375395\t2.750000\n1392375996\t2.750000\n1392376596\t2.690000\n1392377197\t2.750000\n1392377797\t2.880000\n1392378398\t2.880000\n1392378998\t2.940000\n1392379599\t2.940000\n1392380199\t3.060000\n1392380800\t3.190000\n1392381400\t3.380000\n1392382001\t3.380000\n1392382601\t3.500000\n1392383202\t3.560000\n1392383802\t3.500000\n1392384403\t3.310000\n1392385003\t3.190000\n1392385604\t3.250000\n1392386204\t3.310000\n1392386820\t3.440000\n1392387420\t3.380000\n1392388021\t3.500000\n1392388622\t3.560000\n1392389222\t3.250000\n1392389823\t3.120000\n1392390423\t3.120000\n1392391024\t3.060000\n1392391624\t3.000000\n1392392225\t2.940000\n1392392825\t2.750000\n1392393426\t2.560000\n1392394026\t2.500000\n1392394627\t2.560000\n1392395227\t2.620000\n1392395828\t2.620000\n1392396428\t2.500000\n1392397029\t2.560000\n1392397629\t2.560000\n1392398230\t2.440000\n1392398831\t2.120000\n1392399431\t1.940000\n1392400032\t1.940000\n1392400632\t1.940000\n1392401233\t1.940000\n1392401833\t1.940000\n1392402434\t1.880000\n1392403034\t1.940000\n1392403635\t2.000000\n1392404235\t2.000000\n1392404851\t2.000000\n1392405451\t2.060000\n1392406052\t1.940000\n1392406653\t1.690000\n1392407253\t1.500000\n1392407854\t1.500000\n1392408454\t1.560000\n1392409055\t1.690000\n1392409655\t1.500000\n1392410256\t1.310000\n1392410856\t1.120000\n1392411457\t0.940000\n1392412057\t0.940000\n1392412658\t0.940000\n1392413258\t1.000000\n1392413859\t1.120000\n1392414460\t1.190000\n1392415060\t1.250000\n1392415661\t1.250000\n1392416261\t1.250000\n1392416862\t1.440000\n1392417462\t1.440000\n1392418063\t1.250000\n1392418663\t1.190000\n1392419264\t1.000000\n1392419864\t0.880000\n1392420465\t0.880000\n1392421065\t0.940000\n1392421666\t1.190000\n1392422266\t1.120000\n1392422867\t0.940000\n1392423482\t1.000000\n1392424083\t1.000000\n1392424683\t0.880000\n1392425284\t0.750000\n1392425884\t0.690000\n1392426485\t0.620000\n1392427085\t0.560000\n1392427686\t0.500000\n1392428286\t0.500000\n1392428887\t0.620000\n1392429487\t0.690000\n1392430088\t0.620000\n1392430689\t0.560000\n1392431289\t0.500000\n1392431890\t0.440000\n1392432490\t0.440000\n1392433091\t0.560000\n1392433691\t0.620000\n1392434292\t0.620000\n1392434892\t0.690000\n1392435493\t0.620000\n1392436093\t0.690000\n1392436694\t0.690000\n1392437294\t0.690000\n1392437895\t0.690000\n1392438495\t0.690000\n1392439096\t0.690000\n1392439712\t0.690000\n1392440312\t0.620000\n1392440913\t0.690000\n1392441513\t0.690000\n1392442114\t0.690000\n1392442714\t0.750000\n1392443315\t0.810000\n1392443915\t0.880000\n1392444516\t0.880000\n1392445116\t1.000000\n1392445717\t1.060000\n1392446317\t1.120000\n1392446918\t1.190000\n1392447518\t1.250000\n1392448119\t1.310000\n1392448720\t1.380000\n1392449320\t1.380000\n1392449921\t1.440000\n1392450521\t1.440000\n1392451122\t1.560000\n1392451722\t1.620000\n1392452323\t1.620000\n1392452923\t1.750000\n1392453524\t1.620000\n1392454124\t1.500000\n1392454725\t1.500000\n1392455340\t1.380000\n1392455941\t1.250000\n1392456541\t1.120000\n1392457142\t1.190000\n1392457742\t1.250000\n1392458343\t1.380000\n1392458944\t1.500000\n1392459544\t1.690000\n1392460145\t1.810000\n1392460745\t1.880000\n1392461346\t1.940000\n1392461946\t2.000000\n1392462547\t2.000000\n1392463147\t2.000000\n1392463748\t2.060000\n1392464348\t2.120000\n1392464949\t2.120000\n1392465549\t2.060000\n1392466150\t2.000000\n1392466751\t1.940000\n1392467351\t1.810000\n1392467952\t1.750000\n1392468552\t1.750000\n1392469153\t1.750000\n1392469753\t1.810000\n1392470354\t1.810000\n1392470954\t1.880000\n1392471555\t1.940000\n1392472155\t2.000000\n1392472756\t2.000000\n1392473356\t2.060000\n1392473957\t2.120000\n1392474572\t2.120000\n1392475173\t2.190000\n1392475773\t2.250000\n1392476374\t2.190000\n1392476974\t2.250000\n1392477575\t2.310000\n1392478175\t2.310000\n1392478776\t2.310000\n1392479376\t2.310000\n1392479977\t2.310000\n1392480578\t2.310000\n1392481178\t2.310000\n1392481779\t2.310000\n1392482379\t2.310000\n1392482980\t2.440000\n1392483580\t2.500000\n1392484181\t2.500000\n1392484781\t2.560000\n1392485382\t2.500000\n1392485982\t2.500000\n1392486583\t2.560000\n1392487183\t2.620000\n1392487784\t2.690000\n1392488384\t2.690000\n1392488985\t2.620000\n1392489585\t2.690000\n1392490186\t2.690000\n1392490786\t2.690000\n1392491387\t2.620000\n1392491987\t2.620000\n1392492603\t2.560000\n1392493204\t2.690000\n1392493804\t2.620000\n1392494405\t2.620000\n1392495005\t2.620000\n1392495606\t2.620000\n1392496206\t2.560000\n1392496807\t2.690000\n1392497407\t2.750000\n1392498008\t2.880000\n1392498608\t2.880000\n1392499209\t2.880000\n1392499809\t2.810000\n1392500410\t2.690000\n1392501010\t2.690000\n1392501611\t2.750000\n1392502211\t2.750000\n1392502812\t2.750000\n1392503412\t2.810000\n1392504013\t2.880000\n1392504613\t3.000000\n1392505214\t3.190000\n1392505814\t3.250000\n1392506415\t3.310000\n1392507015\t3.250000\n1392507616\t3.250000\n1392508217\t3.310000\n1392508817\t3.380000\n1392509418\t3.440000\n1392510018\t3.380000\n1392510619\t3.440000\n1392511234\t3.500000\n1392511835\t3.500000\n1392512435\t3.440000\n1392513036\t3.440000\n1392513636\t3.440000\n1392514237\t3.560000\n1392514837\t3.560000\n1392515438\t3.500000\n1392516038\t3.560000\n1392516639\t3.560000\n1392517240\t3.690000\n1392517840\t3.750000\n1392518441\t3.690000\n1392519041\t3.750000\n1392519642\t3.750000\n1392520242\t3.690000\n1392520843\t3.810000\n1392521443\t3.750000\n1392522044\t3.690000\n1392522644\t3.620000\n1392523245\t3.690000\n1392523845\t3.690000\n1392524446\t3.560000\n1392525046\t3.500000\n1392525647\t3.500000\n1392526247\t3.500000\n1392526848\t3.440000\n1392527448\t3.500000\n1392528049\t3.440000\n1392528649\t3.440000\n1392529250\t3.560000\n1392529866\t3.560000\n1392530466\t3.500000\n1392531067\t3.500000\n1392531667\t3.500000\n1392532268\t3.560000\n1392532868\t3.560000\n1392533469\t3.560000\n1392534069\t3.620000\n1392534670\t3.690000\n1392535270\t3.810000\n1392535871\t3.880000\n1392536471\t4.000000\n1392537072\t4.060000\n1392537673\t4.120000\n1392538273\t4.190000\n1392538874\t4.250000\n1392539474\t4.380000\n1392540075\t4.440000\n1392540675\t4.440000\n1392541276\t4.440000\n1392541876\t4.500000\n1392542477\t4.500000\n1392543077\t4.500000\n1392543678\t4.560000\n1392544278\t4.620000\n1392544879\t4.560000\n1392545479\t4.620000\n1392546095\t4.690000\n1392546695\t4.880000\n1392547296\t5.060000\n1392547896\t5.250000\n1392548497\t5.690000\n1392549098\t5.940000\n1392549698\t6.000000\n1392550299\t5.940000\n1392550899\t6.060000\n1392551500\t6.380000\n1392552100\t6.310000\n1392552701\t6.120000\n1392553301\t5.880000\n1392553902\t5.810000\n1392554502\t6.310000\n1392555103\t6.120000\n1392555704\t6.000000\n1392556304\t5.880000\n1392556905\t5.810000\n1392557505\t5.810000\n1392558106\t5.880000\n1392558706\t6.120000\n1392559307\t6.000000\n1392559907\t5.880000\n1392560508\t5.750000\n1392561108\t5.380000\n1392561709\t5.250000\n1392562309\t5.190000\n1392562910\t5.120000\n1392563525\t5.060000\n1392564126\t5.000000\n1392564727\t5.000000\n1392565327\t4.940000\n1392565928\t4.940000\n1392566528\t4.880000\n1392567129\t4.810000\n1392567729\t4.810000\n1392568330\t4.750000\n1392568930\t4.690000\n1392569531\t4.690000\n1392570131\t4.690000\n1392570732\t4.690000\n1392571332\t4.620000\n1392571933\t4.560000\n1392572533\t4.440000\n1392573134\t4.380000\n1392573735\t4.310000\n1392574335\t4.250000\n1392574936\t4.250000\n1392575536\t4.190000\n1392576137\t4.190000\n1392576737\t4.190000\n1392577338\t4.120000\n1392577938\t4.060000\n1392578539\t4.000000\n1392579139\t4.000000\n1392579740\t3.940000\n1392580340\t3.940000\n1392580941\t3.940000\n1392581541\t3.940000\n1392582142\t3.880000\n1392582742\t3.880000\n1392583343\t3.880000\n1392583943\t3.880000\n1392584544\t3.880000\n1392585160\t3.810000\n1392585760\t3.810000\n1392586361\t3.810000\n1392586961\t3.750000\n1392587562\t3.750000\n1392588162\t3.750000\n1392588763\t3.750000\n1392589363\t3.690000\n1392589964\t3.690000\n1392590564\t3.620000\n1392591165\t3.690000\n1392591765\t3.690000\n1392592366\t3.750000\n1392592966\t3.810000\n1392593567\t3.750000\n1392594168\t3.750000\n1392594768\t3.690000\n1392595369\t3.690000\n1392595969\t3.620000\n1392596570\t3.560000\n1392597170\t3.440000\n1392597771\t3.380000\n1392598371\t3.250000\n1392598972\t3.190000\n1392599572\t3.190000\n1392600173\t3.190000\n1392600773\t3.120000\n1392601374\t3.000000\n1392601974\t3.000000\n1392602575\t2.940000\n1392603175\t2.880000\n1392603776\t2.880000\n1392604376\t2.880000\n1392604977\t2.940000\n1392605592\t2.880000\n1392606193\t2.940000\n1392606794\t2.810000\n1392607394\t2.810000\n1392607995\t2.810000\n1392608595\t2.880000\n1392609196\t2.880000\n1392609796\t2.810000\n1392610397\t2.880000\n1392610997\t2.880000\n1392611598\t2.940000\n1392612198\t2.940000\n1392612799\t3.000000\n1392613399\t3.000000\n1392614000\t3.000000\n1392614600\t3.000000\n1392615201\t3.000000\n1392615801\t3.060000\n1392616402\t3.060000\n1392617003\t3.060000\n1392617603\t3.060000\n1392618204\t3.060000\n1392618804\t3.060000\n1392619405\t3.120000\n1392620005\t3.120000\n1392620606\t3.190000\n1392621206\t3.250000\n1392621807\t3.250000\n1392622422\t3.310000\n1392623023\t3.380000\n1392623623\t3.380000\n1392624224\t3.500000\n1392624824\t3.500000\n1392625425\t3.620000\n1392626025\t3.750000\n1392626626\t3.810000\n1392627226\t3.940000\n1392627827\t4.060000\n1392628427\t4.190000\n1392629028\t4.250000\n1392629628\t4.310000\n1392630229\t4.440000\n1392630830\t4.440000\n1392631430\t4.500000\n1392632031\t4.440000\n1392632631\t5.120000\n1392633232\t4.940000\n1392633832\t4.880000\n1392634433\t5.060000\n1392635033\t5.120000\n1392635634\t5.380000\n1392636234\t5.250000\n1392636835\t5.440000\n1392637435\t5.380000\n1392638036\t5.620000\n1392638636\t5.620000\n1392639237\t5.690000\n1392639837\t5.690000\n1392640438\t5.620000\n1392641039\t5.880000\n1392641654\t5.940000\n1392642255\t6.000000\n1392642855\t6.060000\n1392643456\t6.250000\n1392644056\t6.250000\n1392644657\t6.310000\n1392645257\t6.310000\n1392645858\t6.440000\n1392646458\t5.880000\n1392647059\t5.500000\n1392647659\t5.310000\n1392648260\t5.190000\n1392648861\t5.120000\n1392649461\t5.120000\n1392650062\t5.250000\n1392650662\t4.940000\n1392651263\t4.940000\n1392651863\t4.810000\n1392652464\t4.620000\n1392653064\t4.500000\n1392653665\t4.190000\n1392654265\t4.000000\n1392654866\t3.880000\n1392655466\t3.810000\n1392656067\t3.690000\n1392656667\t3.500000\n1392657268\t3.500000\n1392657868\t3.440000\n1392658469\t3.440000\n1392659069\t3.310000\n1392659685\t3.250000\n1392660285\t3.060000\n1392660886\t3.000000\n1392661486\t3.000000\n1392662087\t2.810000\n1392662688\t2.810000\n1392663288\t2.880000\n1392663889\t2.810000\n1392664489\t2.750000\n1392665090\t2.560000\n1392665690\t2.440000\n1392666291\t2.310000\n1392666891\t2.380000\n1392667492\t2.310000\n1392668092\t2.310000\n1392668693\t2.310000\n1392669293\t2.250000\n1392669894\t2.190000\n1392670494\t2.250000\n1392671095\t2.310000\n1392671695\t2.250000\n1392672296\t2.190000\n1392672896\t2.060000\n1392673497\t2.060000\n1392674097\t1.940000\n1392674698\t1.880000\n1392675299\t1.750000\n1392675899\t1.690000\n1392676500\t1.690000\n1392677100\t1.620000\n1392677701\t1.560000\n1392678316\t1.560000\n1392678917\t1.560000\n1392679517\t1.560000\n1392680118\t1.560000\n1392680718\t1.500000\n1392681319\t1.380000\n1392681919\t1.380000\n1392682520\t1.310000\n1392683121\t1.190000\n1392683721\t1.120000\n1392684322\t1.190000\n1392684922\t1.120000\n1392685523\t1.120000\n1392686123\t1.120000\n1392686724\t1.120000\n1392687324\t1.000000\n1392687925\t1.060000\n1392688525\t1.000000\n1392689126\t0.880000\n1392689726\t0.810000\n1392690327\t0.750000\n1392690927\t0.750000\n1392691528\t0.560000\n1392692129\t0.560000\n1392692729\t0.440000\n1392693330\t0.440000\n1392693930\t0.310000\n1392694531\t0.250000\n1392695131\t0.120000\n1392695732\t0.120000\n1392696332\t0.120000\n1392696933\t0.060000\n1392697533\t0.060000\n1392698149\t-0.060000\n1392698749\t-0.190000\n1392699350\t-0.190000\n1392699950\t-0.190000\n1392700551\t-0.250000\n1392701151\t-0.380000\n1392701752\t-0.380000\n1392702352\t-0.440000\n1392702953\t-0.500000\n1392703554\t-0.560000\n1392704154\t-0.690000\n1392704755\t-0.750000\n1392705355\t-0.750000\n1392705956\t-0.810000\n1392706556\t-0.750000\n1392707157\t-0.690000\n1392707757\t-0.560000\n1392708358\t-0.500000\n1392708959\t-0.310000\n1392709559\t-0.060000\n1392710160\t0.190000\n1392710760\t0.310000\n1392711361\t0.560000\n1392711961\t0.560000\n1392712562\t0.620000\n1392713162\t0.750000\n1392713763\t0.880000\n1392714363\t0.940000\n1392714964\t1.060000\n1392715564\t1.120000\n1392716180\t1.310000\n1392716780\t1.440000\n1392717381\t1.560000\n1392717981\t1.620000\n1392718582\t1.750000\n1392719182\t1.880000\n1392719783\t1.940000\n1392720383\t2.060000\n1392720984\t2.190000\n1392721585\t2.310000\n1392722185\t2.380000\n1392722786\t2.440000\n1392723386\t2.500000\n1392723987\t2.690000\n1392724587\t2.750000\n1392725188\t2.810000\n1392725788\t2.750000\n1392726389\t2.750000\n1392726989\t2.750000\n1392727590\t2.620000\n1392728190\t2.560000\n1392728791\t2.560000\n1392729391\t2.380000\n1392729992\t2.310000\n1392730592\t2.310000\n1392731193\t2.190000\n1392731794\t2.190000\n1392732409\t2.120000\n1392733010\t2.060000\n1392733610\t2.060000\n1392734211\t2.000000\n1392734811\t1.940000\n1392735412\t1.880000\n1392736012\t1.880000\n1392736613\t1.880000\n1392737213\t1.810000\n1392737814\t1.690000\n1392738414\t1.620000\n1392739015\t1.500000\n1392739615\t1.500000\n1392740216\t1.440000\n1392740816\t1.440000\n1392741417\t1.440000\n1392742018\t1.310000\n1392742618\t1.310000\n1392743219\t1.250000\n1392743819\t1.190000\n1392744420\t1.060000\n1392745020\t1.000000\n1392745621\t0.880000\n1392746221\t0.810000\n1392746822\t0.810000\n1392747422\t0.620000\n1392748023\t0.560000\n1392748623\t0.560000\n1392749224\t0.560000\n1392749824\t0.560000\n1392750425\t0.560000\n1392751026\t0.620000\n1392751641\t0.620000\n1392752242\t0.620000\n1392752842\t0.690000\n1392753443\t0.620000\n1392754043\t0.560000\n1392754644\t0.500000\n1392755244\t0.440000\n1392755845\t0.440000\n1392756445\t0.380000\n1392757046\t0.380000\n1392757646\t0.310000\n1392758247\t0.380000\n1392758847\t0.250000\n1392759448\t0.310000\n1392760049\t0.000000\n1392760649\t0.000000\n1392761250\t0.060000\n1392761850\t0.060000\n1392762451\t0.120000\n1392763051\t0.190000\n1392763652\t0.060000\n1392764252\t0.120000\n1392764853\t0.060000\n1392765453\t0.000000\n1392766054\t-0.120000\n1392766654\t-0.060000\n1392767255\t0.060000\n1392767855\t0.000000\n1392768456\t-0.060000\n1392769057\t-0.120000\n1392769672\t-0.060000\n1392770273\t0.000000\n1392770873\t-0.060000\n1392771474\t-0.120000\n1392772074\t-0.120000\n1392772675\t-0.250000\n1392773275\t-0.250000\n1392773876\t-0.250000\n1392774476\t-0.310000\n1392775077\t-0.190000\n1392775677\t-0.310000\n1392776278\t-0.310000\n1392776879\t-0.380000\n1392777479\t-0.380000\n1392778079\t-0.250000\n1392778680\t-0.310000\n1392779281\t-0.310000\n1392779881\t-0.250000\n1392780482\t-0.120000\n1392781082\t-0.250000\n1392781683\t-0.310000\n1392782283\t-0.310000\n1392782884\t-0.380000\n1392783484\t-0.440000\n1392784085\t-0.440000\n1392784700\t-0.560000\n1392785301\t-0.690000\n1392785901\t-0.690000\n1392786502\t-0.810000\n1392787103\t-0.880000\n1392787703\t-0.880000\n1392788304\t-0.940000\n1392788904\t-0.940000\n1392789505\t-1.000000\n1392790105\t-1.000000\n1392790706\t-1.060000\n1392791306\t-1.060000\n1392791907\t-1.000000\n1392792507\t-1.060000\n1392793108\t-1.000000\n1392793708\t-0.880000\n1392794309\t-1.000000\n1392794909\t-1.000000\n1392795510\t-0.940000\n1392796110\t-0.690000\n1392796711\t-0.560000\n1392797311\t-0.500000\n1392797912\t-0.440000\n1392798513\t-0.310000\n1392799113\t-0.250000\n1392799714\t-0.250000\n1392800314\t-0.060000\n1392800915\t-0.060000\n1392801515\t-0.250000\n1392802116\t-0.060000\n1392802716\t0.120000\n1392803332\t0.120000\n1392803932\t0.120000\n1392804533\t0.190000\n1392805133\t0.440000\n1392805734\t0.250000\n1392806334\t0.190000\n1392806935\t0.250000\n1392807535\t0.560000\n1392808136\t0.750000\n1392808736\t0.880000\n1392809337\t0.880000\n1392809937\t0.810000\n1392810538\t0.500000\n1392811139\t0.500000\n1392811739\t0.310000\n1392812340\t0.190000\n1392812940\t0.250000\n1392813541\t0.310000\n1392814141\t0.310000\n1392814742\t0.380000\n1392815342\t0.440000\n1392815943\t0.560000\n1392816543\t0.690000\n1392817144\t0.810000\n1392817744\t0.810000\n1392818345\t0.750000\n1392818945\t0.750000\n1392819546\t0.620000\n1392820146\t0.690000\n1392820762\t0.690000\n1392821362\t0.560000\n1392821963\t0.560000\n1392822564\t0.500000\n1392823164\t0.500000\n1392823765\t0.380000\n1392824365\t0.440000\n1392824966\t0.310000\n1392825566\t0.310000\n1392826167\t0.310000\n1392826767\t0.250000\n1392827368\t0.250000\n1392827969\t0.190000\n1392828569\t0.120000\n1392829170\t0.060000\n1392829770\t0.000000\n1392830371\t-0.060000\n1392830971\t-0.190000\n1392831572\t-0.250000\n1392832172\t-0.310000\n1392832773\t-0.380000\n1392833373\t-0.440000\n1392833974\t-0.500000\n1392834574\t-0.500000\n1392835175\t-0.560000\n1392835776\t-0.560000\n1392836376\t-0.560000\n1392836977\t-0.620000\n1392837577\t-0.690000\n1392838178\t-0.690000\n1392838778\t-0.690000\n1392839379\t-0.690000\n1392839994\t-0.690000\n1392840595\t-0.690000\n1392841195\t-0.620000\n1392841796\t-0.620000\n1392842396\t-0.620000\n1392842997\t-0.620000\n1392843597\t-0.560000\n1392844198\t-0.620000\n1392844798\t-0.620000\n1392845399\t-0.620000\n1392845999\t-0.620000\n1392846600\t-0.560000\n1392847200\t-0.560000\n1392847801\t-0.560000\n1392848401\t-0.560000\n1392849002\t-0.560000\n1392849603\t-0.560000\n1392850203\t-0.560000\n1392850804\t-0.560000\n1392851404\t-0.560000\n1392852005\t-0.560000\n1392852605\t-0.620000\n1392853206\t-0.620000\n1392853806\t-0.620000\n1392854407\t-0.620000\n1392855007\t-0.690000\n1392855608\t-0.690000\n1392856208\t-0.690000\n1392856809\t-0.750000\n1392857424\t-0.750000\n1392858025\t-0.810000\n1392858625\t-0.810000\n1392859226\t-0.810000\n1392859826\t-0.810000\n1392860427\t-0.750000\n1392861027\t-0.750000\n1392861628\t-0.810000\n1392862228\t-0.810000\n1392862829\t-0.810000\n1392863429\t-0.810000\n1392864030\t-0.810000\n1392864630\t-0.810000\n1392865231\t-0.810000\n1392865832\t-0.810000\n1392866432\t-0.750000\n1392867033\t-0.750000\n1392867633\t-0.750000\n1392868234\t-0.750000\n1392868834\t-0.750000\n1392869435\t-0.690000\n1392870035\t-0.690000\n1392870636\t-0.690000\n1392871237\t-0.690000\n1392871837\t-0.690000\n1392872438\t-0.690000\n1392873038\t-0.690000\n1392873639\t-0.620000\n1392874239\t-0.690000\n1392874840\t-0.620000\n1392875455\t-0.690000\n1392876056\t-0.620000\n1392876656\t-0.620000\n1392877257\t-0.560000\n1392877857\t-0.560000\n1392878458\t-0.560000\n1392879058\t-0.500000\n1392879659\t-0.380000\n1392880260\t-0.310000\n1392880860\t-0.190000\n1392881460\t-0.060000\n1392882061\t0.060000\n1392882661\t0.190000\n1392883262\t0.310000\n1392883863\t0.380000\n1392884463\t0.560000\n1392885064\t0.620000\n1392885664\t0.620000\n1392886265\t0.690000\n1392886865\t0.810000\n1392887466\t0.880000\n1392896449\t1.060000\n1392897049\t1.060000\n1392897650\t1.120000\n1392898250\t1.310000\n1392898851\t1.250000\n1392899451\t1.440000\n1392900052\t1.440000\n1392900653\t1.250000\n1392901253\t1.120000\n1392901854\t1.310000\n1392902454\t1.000000\n1392903055\t0.810000\n1392903655\t0.620000\n1392904256\t0.620000\n1392904871\t0.810000\n1392905472\t0.560000\n1392906072\t0.310000\n1392906673\t0.190000\n1392907273\t0.120000\n1392907874\t0.060000\n1392908474\t0.000000\n1392909075\t-0.060000\n1392909675\t-0.190000\n1392910276\t-0.310000\n1392910876\t-0.380000\n1392911477\t-0.440000\n1392912078\t-0.560000\n1392912678\t-0.560000\n1392913279\t-0.620000\n1392913879\t-0.620000\n1392914480\t-0.620000\n1392915080\t-0.620000\n1392915681\t-0.620000\n1392916281\t-0.690000\n1392916882\t-0.690000\n1392917482\t-0.690000\n1392918083\t-0.750000\n1392918683\t-0.750000\n1392919284\t-0.810000\n1392919884\t-0.880000\n1392920485\t-0.880000\n1392921085\t-0.880000\n1392921686\t-0.810000\n1392922287\t-0.810000\n1392922887\t-0.810000\n1392923488\t-0.750000\n1392924088\t-0.750000\n1392924689\t-0.690000\n1392925289\t-0.690000\n1392925890\t-0.690000\n1392926490\t-0.620000\n1392927106\t-0.560000\n1392927706\t-0.500000\n1392928307\t-0.500000\n1392928908\t-0.440000\n1392929508\t-0.380000\n1392930109\t-0.380000\n1392930709\t-0.380000\n1392931310\t-0.380000\n1392931910\t-0.380000\n1392932511\t-0.310000\n1392933111\t-0.310000\n1392933712\t-0.310000\n1392934312\t-0.310000\n1392934913\t-0.310000\n1392935513\t-0.250000\n1392936114\t-0.250000\n1392936714\t-0.250000\n1392937315\t-0.250000\n1392937916\t-0.190000\n1392938516\t-0.190000\n1392939117\t-0.190000\n1392939717\t-0.190000\n1392940318\t-0.190000\n1392940918\t-0.120000\n1392941519\t-0.120000\n1392942119\t-0.060000\n1392942720\t-0.060000\n1392943320\t0.000000\n1392943921\t0.060000\n1392944521\t0.120000\n1392945122\t0.120000\n1392945722\t0.190000\n1392946323\t0.250000\n1392946923\t0.310000\n1392947524\t0.380000\n1392948125\t0.440000\n1392948740\t0.440000\n1392949341\t0.440000\n1392949941\t0.500000\n1392950542\t0.500000\n1392951142\t0.560000\n1392951743\t0.560000\n1392952343\t0.620000\n1392952944\t0.620000\n1392953544\t0.620000\n1392954145\t0.620000\n1392954746\t0.620000\n1392955346\t0.620000\n1392955947\t0.620000\n1392956547\t0.690000\n1392957148\t0.690000\n1392957748\t0.690000\n1392958349\t0.750000\n1392958949\t0.750000\n1392959550\t0.810000\n1392960150\t0.810000\n1392960751\t0.880000\n1392961351\t0.880000\n1392961952\t0.940000\n1392962552\t0.940000\n1392963153\t0.940000\n1392963754\t1.000000\n1392964354\t0.940000\n1392964955\t1.000000\n1392965555\t1.000000\n1392966156\t1.060000\n1392966756\t1.060000\n1392967357\t1.120000\n1392967957\t1.190000\n1392968558\t1.190000\n1392969158\t1.310000\n1392969759\t1.380000\n1392970374\t1.440000\n1392970975\t1.500000\n1392971575\t1.620000\n1392972176\t1.690000\n1392972776\t1.750000\n1392973377\t1.880000\n1392973977\t1.940000\n1392974578\t2.000000\n1392975179\t2.060000\n1392975779\t2.120000\n1392976380\t2.250000\n1392976980\t2.380000\n1392977581\t2.560000\n1392978181\t2.750000\n1392978782\t3.000000\n1392979382\t2.940000\n1392979983\t2.940000\n1392980583\t3.060000\n1392981184\t3.120000\n1392981784\t3.310000\n1392982385\t3.380000\n1392982985\t3.500000\n1392983586\t3.500000\n1392984186\t3.560000\n1392984787\t3.560000\n1392985387\t3.440000\n1392985988\t3.500000\n1392986588\t3.380000\n1392987189\t3.500000\n1392987789\t3.500000\n1392988390\t3.440000\n1392988991\t3.620000\n1392989591\t3.620000\n1392990192\t3.560000\n1392990792\t3.440000\n1392991393\t3.310000\n1392992008\t3.250000\n1392992609\t3.190000\n1392993209\t3.310000\n1392993810\t3.190000\n1392994410\t3.250000\n1392995011\t3.190000\n1392995611\t3.250000\n1392996212\t3.380000\n1392996812\t3.380000\n1392997413\t3.310000\n1392998014\t3.120000\n1392998614\t3.060000\n1392999215\t3.000000\n1392999815\t2.940000\n1393000416\t2.880000\n1393001016\t2.810000\n1393001617\t2.750000\n1393002217\t2.750000\n1393002818\t2.810000\n1393003418\t2.750000\n1393004019\t2.620000\n1393004619\t2.500000\n1393005220\t2.750000\n1393005820\t2.880000\n1393006421\t3.060000\n1393007021\t3.120000\n1393007622\t3.190000\n1393008222\t3.120000\n1393008823\t3.120000\n1393009424\t3.120000\n1393010024\t3.120000\n1393010625\t3.190000\n1393011225\t3.310000\n1393011826\t3.250000\n1393012426\t3.060000\n1393013027\t2.880000\n1393013627\t2.810000\n1393014243\t2.750000\n1393014843\t2.690000\n1393015444\t2.750000\n1393016044\t2.810000\n1393016645\t2.560000\n1393017245\t2.380000\n1393017846\t2.310000\n1393018446\t2.190000\n1393019047\t2.120000\n1393019648\t2.060000\n1393020248\t1.940000\n1393020849\t1.810000\n1393021449\t1.880000\n1393022050\t1.810000\n1393022650\t1.690000\n1393023251\t1.690000\n1393023851\t1.880000\n1393024452\t2.120000\n1393025052\t2.190000\n1393025653\t2.190000\n1393026253\t2.250000\n1393026854\t2.250000\n1393027454\t2.190000\n1393028055\t2.190000\n1393028655\t2.120000\n1393029256\t2.060000\n1393029856\t2.060000\n1393030457\t2.000000\n1393031057\t2.000000\n1393031658\t2.000000\n1393032259\t1.940000\n1393032859\t1.880000\n1393033460\t1.750000\n1393034060\t1.620000\n1393034661\t1.620000\n1393035276\t1.620000\n1393035877\t1.620000\n1393036477\t1.440000\n1393037078\t1.310000\n1393037678\t1.440000\n1393038279\t1.440000\n1393038879\t1.440000\n1393039480\t1.440000\n1393040080\t1.380000\n1393040681\t1.380000\n1393041281\t1.310000\n1393041882\t1.190000\n1393042482\t1.190000\n1393043083\t1.060000\n1393043683\t1.000000\n1393044284\t0.940000\n1393044884\t0.880000\n1393045485\t1.000000\n1393046086\t1.120000\n1393046686\t1.690000\n1393047287\t1.940000\n1393047887\t1.880000\n1393048488\t1.690000\n1393049088\t1.440000\n1393049689\t1.310000\n1393050289\t1.190000\n1393050890\t1.060000\n1393051490\t1.000000\n1393052091\t1.120000\n1393052691\t1.120000\n1393053292\t1.250000\n1393053908\t1.380000\n1393054508\t1.750000\n1393055109\t1.810000\n1393055709\t2.000000\n1393056310\t2.500000\n1393056910\t3.000000\n1393057511\t3.190000\n1393058111\t3.060000\n1393058712\t3.380000\n1393059312\t3.620000\n1393059913\t3.310000\n1393060513\t3.380000\n1393061114\t3.940000\n1393061714\t4.310000\n1393062315\t4.190000\n1393062915\t4.000000\n1393063516\t4.380000\n1393064116\t4.380000\n1393064717\t4.440000\n1393065317\t4.560000\n1393065918\t4.690000\n1393066519\t4.880000\n1393067119\t4.940000\n1393067720\t5.060000\n1393068320\t4.940000\n1393068921\t5.190000\n1393069521\t5.120000\n1393070122\t4.940000\n1393070722\t4.810000\n1393071338\t5.000000\n1393071938\t5.060000\n1393072539\t4.880000\n1393073139\t5.000000\n1393073740\t5.310000\n1393074340\t5.380000\n1393074941\t5.880000\n1393075542\t5.500000\n1393076142\t5.120000\n1393076743\t5.060000\n1393077343\t4.880000\n1393077944\t4.810000\n1393078544\t4.810000\n1393079145\t4.880000\n1393079745\t4.750000\n1393080346\t4.880000\n1393080946\t4.690000\n1393081547\t4.560000\n1393082147\t4.440000\n1393082748\t4.380000\n1393083349\t4.310000\n1393083949\t4.310000\n1393084550\t4.250000\n1393085150\t4.120000\n1393085751\t4.120000\n1393086351\t4.120000\n1393086952\t4.120000\n1393087552\t4.120000\n1393088153\t4.120000\n1393088753\t4.060000\n1393089354\t4.060000\n1393089969\t4.060000\n1393090570\t4.120000\n1393091170\t4.120000\n1393091771\t4.190000\n1393092371\t4.250000\n1393092972\t4.310000\n1393093573\t4.310000\n1393094173\t4.380000\n1393094774\t4.380000\n1393095374\t4.440000\n1393095975\t4.380000\n1393096575\t4.310000\n1393097176\t4.250000\n1393097776\t4.250000\n1393098377\t4.310000\n1393098977\t4.380000\n1393099578\t4.380000\n1393100178\t4.380000\n1393100779\t4.310000\n1393101379\t4.310000\n1393101980\t4.310000\n1393102580\t4.310000\n1393103181\t4.500000\n1393103781\t4.560000\n1393104382\t4.560000\n1393104982\t4.500000\n1393105583\t4.560000\n1393106184\t4.690000\n1393106784\t4.690000\n1393107385\t4.690000\n1393107985\t4.620000\n1393108601\t4.620000\n1393109201\t4.620000\n1393109802\t4.690000\n1393110402\t4.690000\n1393111003\t4.750000\n1393111603\t4.750000\n1393112204\t4.810000\n1393112804\t4.810000\n1393113405\t4.810000\n1393114005\t4.810000\n1393114606\t4.810000\n1393115206\t4.750000\n1393115807\t4.750000\n1393116407\t4.750000\n1393117008\t4.690000\n1393117608\t4.500000\n1393118209\t4.440000\n1393118810\t4.440000\n1393119410\t4.560000\n1393120011\t4.560000\n1393120611\t4.500000\n1393121212\t4.380000\n1393121812\t4.380000\n1393122413\t4.440000\n1393123028\t4.380000\n1393123629\t4.440000\n1393124229\t4.380000\n1393124830\t4.440000\n1393125430\t4.560000\n1393126031\t4.500000\n1393126631\t4.620000\n1393127232\t4.750000\n1393127832\t4.750000\n1393128433\t4.750000\n1393129033\t4.810000\n1393129634\t4.750000\n1393130234\t4.810000\n1393130835\t4.750000\n1393131435\t4.810000\n1393132036\t4.880000\n1393132637\t4.940000\n1393133237\t4.880000\n1393133838\t4.940000\n1393134438\t4.940000\n1393135039\t4.940000\n1393135639\t5.000000\n1393136240\t5.000000\n1393136840\t4.940000\n1393137441\t4.940000\n1393138041\t5.000000\n1393138642\t5.060000\n1393139242\t5.120000\n1393139843\t5.120000\n1393140444\t5.190000\n1393141044\t5.250000\n1393141660\t5.380000\n1393142260\t5.500000\n1393142861\t5.560000\n1393143461\t5.560000\n1393144062\t5.620000\n1393144662\t5.750000\n1393145263\t5.810000\n1393145863\t5.880000\n1393146464\t5.880000\n1393147064\t6.000000\n1393147665\t6.120000\n1393148265\t6.250000\n1393148866\t6.500000\n1393149466\t6.690000\n1393150067\t6.750000\n1393150668\t6.810000\n1393151268\t7.000000\n1393151869\t7.060000\n1393152469\t7.060000\n1393153070\t7.190000\n1393153670\t7.440000\n1393154271\t7.310000\n1393154871\t7.190000\n1393155472\t7.190000\n1393156072\t7.120000\n1393156673\t7.060000\n1393157273\t7.060000\n1393157874\t7.060000\n1393158474\t7.060000\n1393159075\t7.120000\n1393159675\t7.060000\n1393160291\t7.190000\n1393160891\t7.310000\n1393161492\t7.310000\n1393162093\t7.190000\n1393162693\t7.000000\n1393163294\t7.000000\n1393163894\t6.940000\n1393164495\t6.810000\n1393165095\t6.690000\n1393165696\t6.560000\n1393166296\t6.500000\n1393166897\t6.560000\n1393167497\t6.380000\n1393168098\t6.250000\n1393168698\t6.120000\n1393169299\t6.120000\n1393169899\t6.060000\n1393170500\t6.000000\n1393171100\t6.000000\n1393171701\t5.940000\n1393172301\t5.940000\n1393172902\t5.880000\n1393173502\t5.810000\n1393174103\t5.810000\n1393174703\t5.810000\n1393175304\t5.880000\n1393175920\t5.940000\n1393176520\t6.000000\n1393177121\t6.000000\n1393177721\t6.000000\n1393178322\t6.000000\n1393178922\t5.940000\n1393179523\t6.000000\n1393180123\t5.880000\n1393180724\t6.000000\n1393181324\t6.190000\n1393181925\t6.310000\n1393182525\t6.380000\n1393183126\t6.500000\n1393183726\t6.560000\n1393184327\t6.620000\n1393184927\t6.440000\n1393185528\t6.440000\n1393186128\t6.440000\n1393186729\t6.500000\n1393187329\t6.440000\n1393187930\t6.440000\n1393188530\t6.500000\n1393189131\t6.500000\n1393189732\t6.500000\n1393190332\t6.560000\n1393190933\t6.500000\n1393191533\t6.500000\n1393192134\t6.440000\n1393192734\t6.500000\n1393193335\t6.560000\n1393193935\t6.620000\n1393194551\t6.690000\n1393195151\t6.620000\n1393195752\t6.620000\n1393196352\t6.620000\n1393196953\t6.620000\n1393197553\t6.560000\n1393198154\t6.560000\n1393198755\t6.560000\n1393199355\t6.560000\n1393199956\t6.560000\n1393200556\t6.500000\n1393201157\t6.500000\n1393201757\t6.500000\n1393202358\t6.560000\n1393202958\t6.560000\n1393203559\t6.560000\n1393204159\t6.620000\n1393204760\t6.620000\n1393205360\t6.690000\n1393205961\t6.690000\n1393206561\t6.620000\n1393207162\t6.620000\n1393207762\t6.690000\n1393208363\t6.690000\n1393208963\t6.690000\n1393209564\t6.690000\n1393210164\t6.690000\n1393210765\t6.690000\n1393211365\t6.750000\n1393211966\t6.810000\n1393212581\t6.810000\n1393213182\t6.810000\n1393213782\t6.880000\n1393214383\t7.000000\n1393214983\t6.940000\n1393215584\t7.000000\n1393216185\t6.940000\n1393216785\t6.940000\n1393217386\t7.000000\n1393217986\t6.940000\n1393218587\t6.940000\n1393219187\t6.940000\n1393219788\t6.880000\n1393220388\t6.940000\n1393220989\t6.940000\n1393221589\t7.000000\n1393222190\t6.940000\n1393222790\t6.940000\n1393223391\t6.940000\n1393223991\t6.880000\n1393224592\t6.880000\n1393225192\t6.940000\n1393225793\t6.940000\n1393226394\t7.000000\n1393226994\t7.060000\n1393227595\t7.060000\n1393228195\t7.120000\n1393228796\t7.120000\n1393229396\t7.250000\n1393229997\t7.310000\n1393230597\t7.440000\n1393231213\t7.440000\n1393231813\t7.500000\n1393232414\t7.620000\n1393233014\t7.750000\n1393233615\t7.810000\n1393234216\t7.940000\n1393234816\t7.880000\n1393235417\t7.880000\n1393236017\t7.810000\n1393236618\t7.880000\n1393237218\t8.000000\n1393237819\t8.060000\n1393238419\t8.060000\n1393239020\t8.060000\n1393239620\t8.310000\n1393240221\t8.560000\n1393240822\t8.690000\n1393241422\t8.750000\n1393242023\t8.880000\n1393242623\t8.880000\n1393243224\t9.000000\n1393243824\t9.190000\n1393244425\t9.250000\n1393245025\t9.440000\n1393245626\t9.620000\n1393246227\t9.750000\n1393246827\t9.880000\n1393247428\t10.000000\n1393248043\t10.120000\n1393248644\t10.060000\n1393249244\t10.060000\n1393249845\t10.190000\n1393250445\t10.250000\n1393251046\t10.120000\n1393251646\t10.060000\n1393252247\t10.000000\n1393252847\t9.880000\n1393253448\t9.750000\n1393254048\t9.620000\n1393254649\t9.310000\n1393255250\t9.060000\n1393255850\t8.880000\n1393256451\t8.620000\n1393257051\t8.440000\n1393257652\t8.190000\n1393258252\t7.880000\n1393258853\t7.750000\n1393259453\t7.440000\n1393260054\t7.250000\n1393260654\t7.060000\n1393261255\t6.940000\n1393261855\t6.750000\n1393262456\t6.690000\n1393263056\t6.440000\n1393263657\t6.310000\n1393264258\t6.190000\n1393264858\t6.060000\n1393265459\t6.000000\n1393266074\t6.190000\n1393266675\t6.000000\n1393267275\t5.940000\n1393267876\t5.940000\n1393268476\t5.940000\n1393269077\t5.810000\n1393269677\t5.690000\n1393270278\t5.690000\n1393270878\t5.620000\n1393271479\t5.440000\n1393272079\t5.500000\n1393272680\t5.440000\n1393273280\t5.310000\n1393273881\t5.190000\n1393274481\t5.120000\n1393275082\t5.000000\n1393275682\t5.000000\n1393276283\t4.940000\n1393276884\t4.810000\n1393277484\t4.750000\n1393278085\t4.690000\n1393278685\t4.620000\n1393279286\t4.560000\n1393279886\t4.500000\n1393280487\t4.440000\n1393281087\t4.440000\n1393281688\t4.380000\n1393282303\t4.310000\n1393282904\t4.310000\n1393283504\t4.190000\n1393284105\t4.190000\n1393284705\t4.190000\n1393285306\t4.190000\n1393285907\t4.190000\n1393286507\t4.120000\n1393287108\t4.060000\n1393287708\t3.940000\n1393288309\t3.880000\n1393288909\t3.880000\n1393289510\t3.880000\n1393290110\t3.880000\n1393290711\t3.810000\n1393291311\t3.810000\n1393291912\t3.750000\n1393292512\t3.620000\n1393293113\t3.560000\n1393293713\t3.500000\n1393294314\t3.500000\n1393294914\t3.380000\n1393295515\t3.380000\n1393296115\t3.310000\n1393296716\t3.310000\n1393297316\t3.380000\n1393297917\t3.310000\n1393298518\t3.250000\n1393299118\t3.250000\n1393299719\t3.190000\n1393300319\t3.250000\n1393300920\t3.250000\n1393301535\t3.190000\n1393302136\t3.190000\n1393302736\t3.120000\n1393303337\t3.120000\n1393303937\t3.060000\n1393304538\t3.060000\n1393305138\t3.120000\n1393305739\t3.120000\n1393306339\t3.060000\n1393306940\t3.000000\n1393307525\t3.000000\n1393308126\t2.810000\n1393308726\t2.750000\n1393309327\t2.750000\n1393309927\t2.690000\n1393310528\t2.620000\n1393311128\t2.620000\n1393311729\t2.620000\n1393312329\t2.750000\n1393312930\t2.750000\n1393313530\t2.810000\n1393314131\t2.940000\n1393314731\t3.060000\n1393315332\t3.250000\n1393315932\t3.440000\n1393316533\t3.620000\n1393317133\t3.810000\n1393317734\t4.000000\n1393318334\t3.940000\n1393318935\t3.940000\n1393319535\t4.060000\n1393320136\t4.310000\n1393320736\t4.380000\n1393321352\t4.560000\n1393321952\t4.380000\n1393322553\t4.690000\n1393323153\t4.880000\n1393323754\t4.940000\n1393324354\t5.310000\n1393324955\t5.500000\n1393325555\t5.810000\n1393326156\t5.750000\n1393326756\t5.810000\n1393327357\t5.250000\n1393327957\t5.750000\n1393328558\t6.000000\n1393329158\t5.880000\n1393329759\t6.190000\n1393330359\t6.310000\n1393330960\t6.250000\n1393331560\t6.120000\n1393332161\t6.190000\n1393332761\t6.250000\n1393333362\t6.500000\n1393333962\t6.750000\n1393334563\t6.880000\n1393335163\t6.810000\n1393335764\t7.000000\n1393336364\t7.060000\n1393336965\t7.000000\n1393337565\t7.190000\n1393338166\t7.380000\n1393338766\t7.120000\n1393339367\t7.000000\n1393339967\t6.940000\n1393340568\t6.810000\n1393341169\t6.560000\n1393341784\t6.380000\n1393342384\t6.190000\n1393342985\t5.880000\n1393343585\t5.500000\n1393344186\t5.310000\n1393344786\t4.690000\n1393345387\t4.310000\n1393345987\t4.120000\n1393346588\t3.810000\n1393347188\t3.750000\n1393347789\t4.000000\n1393348389\t4.190000\n1393348990\t4.250000\n1393349590\t4.310000\n1393350191\t4.250000\n1393350791\t4.250000\n1393351392\t4.190000\n1393351992\t4.060000\n1393352593\t4.000000\n1393353193\t3.940000\n1393353794\t3.940000\n1393354394\t3.750000\n1393354995\t3.620000\n1393355595\t3.620000\n1393356196\t3.500000\n1393356796\t3.560000\n1393357397\t3.560000\n1393357997\t3.560000\n1393358598\t3.500000\n1393359198\t3.440000\n1393359814\t3.380000\n1393360414\t3.310000\n1393361015\t3.250000\n1393361615\t3.190000\n1393362216\t3.190000\n1393362816\t3.250000\n1393363417\t3.250000\n1393364017\t3.250000\n1393364618\t3.250000\n1393365218\t3.310000\n1393365819\t3.250000\n1393366419\t3.250000\n1393367020\t3.250000\n1393367620\t3.250000\n1393368221\t3.250000\n1393368821\t3.250000\n1393369422\t3.310000\n1393370022\t3.250000\n1393370623\t3.310000\n1393371223\t3.310000\n1393371824\t3.310000\n1393372424\t3.310000\n1393373025\t3.310000\n1393373625\t3.250000\n1393374226\t3.190000\n1393374826\t3.250000\n1393375427\t3.250000\n1393376027\t3.190000\n1393376628\t3.190000\n1393377228\t3.190000\n1393377844\t3.190000\n1393378444\t3.250000\n1393379045\t3.250000\n1393379645\t3.250000\n1393380246\t3.250000\n1393380846\t3.250000\n1393381447\t3.190000\n1393382047\t3.250000\n1393382648\t3.190000\n1393383248\t3.120000\n1393383849\t3.190000\n1393384449\t3.120000\n1393385050\t3.120000\n1393385650\t3.060000\n1393386251\t3.060000\n1393386851\t3.000000\n1393387452\t3.000000\n1393388052\t2.940000\n1393388653\t2.940000\n1393389253\t2.940000\n1393389854\t2.940000\n1393390454\t2.880000\n1393391055\t2.810000\n1393391655\t2.750000\n1393392256\t2.750000\n1393392856\t2.750000\n1393393457\t2.750000\n1393394072\t2.750000\n1393394673\t2.690000\n1393395273\t2.750000\n1393395874\t2.690000\n1393396474\t2.620000\n1393397075\t2.690000\n1393397675\t2.620000\n1393398276\t2.750000\n1393398876\t2.810000\n1393399477\t2.750000\n1393400077\t2.750000\n1393400678\t2.690000\n1393401278\t2.690000\n1393401879\t2.810000\n1393402479\t2.880000\n1393403080\t3.060000\n1393403680\t3.190000\n1393404281\t3.250000\n1393404881\t3.310000\n1393405482\t3.380000\n1393406082\t3.440000\n1393406683\t3.440000\n1393407283\t3.500000\n1393407884\t3.500000\n1393408484\t3.690000\n1393409085\t3.810000\n1393409685\t3.810000\n1393410301\t3.940000\n1393410901\t4.060000\n1393411502\t3.940000\n1393412102\t4.060000\n1393412703\t4.060000\n1393413303\t4.120000\n1393413904\t4.250000\n1393414504\t4.250000\n1393415105\t4.250000\n1393415705\t4.190000\n1393416306\t4.190000\n1393416906\t4.250000\n1393417507\t4.120000\n1393418107\t4.000000\n1393418708\t4.120000\n1393419308\t4.190000\n1393419909\t4.190000\n1393420509\t4.190000\n1393421110\t4.060000\n1393421710\t4.060000\n1393422311\t4.000000\n1393422911\t4.000000\n1393423512\t3.880000\n1393424112\t3.880000\n1393424713\t3.810000\n1393427771\t3.560000\n1393428372\t3.440000\n1393428972\t3.380000\n1393429588\t3.310000\n1393430188\t3.190000\n1393430789\t3.060000\n1393431389\t3.000000\n1393431990\t3.000000\n1393432590\t2.940000\n1393433191\t2.940000\n1393433791\t2.880000\n1393434392\t2.810000\n1393434992\t2.810000\n1393435593\t2.750000\n1393436193\t2.750000\n1393436794\t2.690000\n1393437394\t2.690000\n1393437995\t2.690000\n1393438595\t2.620000\n1393439196\t2.620000\n1393439796\t2.560000\n1393440397\t2.500000\n1393440997\t2.500000\n1393441598\t2.440000\n1393442198\t2.440000\n1393442799\t2.380000\n1393443399\t2.440000\n1393444000\t2.380000\n1393444600\t2.440000\n1393445201\t2.380000\n1393445801\t2.310000\n1393446402\t2.380000\n1393447002\t2.380000\n1393447603\t2.380000\n1393448203\t2.310000\n1393448804\t2.310000\n1393449404\t2.310000\n1393450020\t2.310000\n1393450620\t2.310000\n1393451221\t2.310000\n1393451821\t2.310000\n1393452422\t2.310000\n1393453022\t2.310000\n1393453623\t2.310000\n1393454223\t2.250000\n1393454824\t2.250000\n1393455424\t2.250000\n1393456025\t2.250000\n1393456627\t2.190000\n1393457228\t2.190000\n1393457828\t2.190000\n1393458429\t2.120000\n1393459029\t2.120000\n1393459630\t2.190000\n1393460230\t2.190000\n1393460831\t2.120000\n1393461431\t2.120000\n1393462032\t2.120000\n1393462632\t2.190000\n1393463233\t2.120000\n1393463833\t2.120000\n1393464434\t2.120000\n1393465034\t2.060000\n1393465635\t2.120000\n1393466235\t2.060000\n1393466836\t2.120000\n1393467436\t2.120000\n1393468037\t2.120000\n1393468637\t2.120000\n1393469238\t2.060000\n1393469838\t2.000000\n1393470439\t2.060000\n1393471054\t2.060000\n1393471655\t2.060000\n1393472255\t2.000000\n1393472856\t2.060000\n1393473456\t2.060000\n1393474057\t2.000000\n1393474657\t2.000000\n1393475258\t2.000000\n1393475858\t1.940000\n1393476459\t2.000000\n1393477059\t2.000000\n1393477660\t2.060000\n1393478260\t2.060000\n1393478861\t2.060000\n1393479461\t2.000000\n1393480062\t2.000000\n1393480662\t2.060000\n1393481263\t2.000000\n1393481863\t2.000000\n1393482463\t2.000000\n1393483064\t2.000000\n1393483664\t2.060000\n1393484265\t2.060000\n1393484865\t2.000000\n1393485466\t2.060000\n1393486067\t2.120000\n1393486667\t2.190000\n1393487268\t2.250000\n1393487868\t2.250000\n1393488484\t2.310000\n1393489084\t2.380000\n1393489684\t2.440000\n1393490285\t2.440000\n1393490885\t2.440000\n1393491486\t2.440000\n1393492086\t2.560000\n1393492687\t2.560000\n1393493288\t2.560000\n1393493888\t2.560000\n1393494489\t2.560000\n1393495089\t2.620000\n1393495690\t2.620000\n1393496290\t2.620000\n1393496890\t2.690000\n1393497491\t2.750000\n1393498091\t2.810000\n1393498692\t2.880000\n1393499292\t2.940000\n1393499893\t2.880000\n1393500493\t2.940000\n1393501094\t3.190000\n1393501694\t3.120000\n1393502295\t3.120000\n1393502895\t3.380000\n1393503496\t3.620000\n1393504096\t3.810000\n1393504697\t4.250000\n1393505297\t4.120000\n1393505898\t3.940000\n1393506513\t3.880000\n1393507114\t3.880000\n1393507714\t3.620000\n1393508315\t3.560000\n1393508915\t3.560000\n1393509516\t3.560000\n1393510116\t3.620000\n1393510717\t3.560000\n1393511318\t3.440000\n1393511918\t3.380000\n1393512519\t3.380000\n1393513119\t3.380000\n1393513720\t3.380000\n1393514320\t3.380000\n1393514921\t3.380000\n1393515521\t3.250000\n1393516122\t3.190000\n1393516722\t3.120000\n1393517323\t3.120000\n1393517923\t3.060000\n1393518524\t3.060000\n1393519124\t3.060000\n1393519725\t3.000000\n1393520325\t3.000000\n1393520926\t3.000000\n1393521526\t3.060000\n1393522127\t3.000000\n1393522742\t3.000000\n1393523343\t3.000000\n1393523943\t3.000000\n1393524544\t3.000000\n1393525144\t3.000000\n1393525745\t2.940000\n1393526345\t2.940000\n1393526946\t2.940000\n1393527546\t2.940000\n1393528147\t2.940000\n1393528747\t2.940000\n1393529348\t2.940000\n1393529948\t2.880000\n1393530549\t2.880000\n1393531149\t2.880000\n1393531750\t2.880000\n1393532350\t2.880000\n1393532951\t2.880000\n1393533551\t2.880000\n1393534152\t2.940000\n1393534752\t2.880000\n1393535353\t2.880000\n1393535953\t2.880000\n1393536554\t2.880000\n1393537154\t2.810000\n1393537755\t2.810000\n1393538355\t2.750000\n1393538971\t2.750000\n1393539571\t2.750000\n1393540172\t2.750000\n1393540772\t2.750000\n1393541373\t2.750000\n1393541973\t2.750000\n1393542574\t2.750000\n1393543174\t2.690000\n1393543775\t2.690000\n1393544375\t2.620000\n1393544976\t2.620000\n1393545576\t2.620000\n1393546177\t2.620000\n1393546777\t2.560000\n1393547378\t2.500000\n1393547978\t2.560000\n1393548579\t2.500000\n1393549179\t2.440000\n1393549780\t2.440000\n1393550380\t2.380000\n1393550981\t2.380000\n1393551581\t2.380000\n1393552182\t2.380000\n1393552782\t2.310000\n1393553383\t2.310000\n1393553983\t2.310000\n1393554584\t2.310000\n1393555199\t2.310000\n1393555800\t2.310000\n1393556400\t2.310000\n1393557001\t2.310000\n1393557601\t2.250000\n1393558202\t2.250000\n1393558802\t2.190000\n1393559403\t2.250000\n1393560003\t2.190000\n1393560604\t2.190000\n1393561204\t2.190000\n1393561805\t2.190000\n1393562406\t2.190000\n1393563006\t2.120000\n1393563606\t2.190000\n1393564207\t2.190000\n1393564807\t2.190000\n1393565408\t2.120000\n1393566008\t2.060000\n1393566609\t2.060000\n1393567209\t2.060000\n1393567810\t2.120000\n1393568410\t2.120000\n1393569011\t2.120000\n1393569611\t2.190000\n1393570212\t2.190000\n1393570812\t2.120000\n1393571413\t2.190000\n1393572013\t2.190000\n1393572629\t2.190000\n1393573229\t2.190000\n1393573830\t2.250000\n1393574430\t2.250000\n1393575031\t2.250000\n1393575631\t2.310000\n1393576232\t2.310000\n1393576832\t2.380000\n1393577433\t2.440000\n1393578033\t2.440000\n1393578634\t2.620000\n1393579234\t2.750000\n1393579835\t2.750000\n1393580435\t2.750000\n1393581036\t2.810000\n1393581636\t2.880000\n1393582237\t2.940000\n1393582837\t3.000000\n1393583438\t3.120000\n1393584038\t3.310000\n1393584639\t3.310000\n1393585239\t3.380000\n1393585840\t3.690000\n1393586440\t3.560000\n1393587041\t3.690000\n1393587641\t3.940000\n1393588257\t4.560000\n1393588857\t4.310000\n1393589458\t4.440000\n1393590058\t4.560000\n1393590659\t5.000000\n1393591259\t5.120000\n1393591860\t5.120000\n1393592460\t4.940000\n1393593061\t4.880000\n1393593661\t4.880000\n1393594262\t4.810000\n1393594862\t4.880000\n1393595463\t4.750000\n1393596063\t4.750000\n1393596664\t4.620000\n1393597264\t4.440000\n1393597865\t4.380000\n1393598465\t4.310000\n1393599066\t4.310000\n1393599666\t4.190000\n1393600267\t4.120000\n1393600867\t4.060000\n1393601468\t4.190000\n1393602068\t4.190000\n1393602669\t4.120000\n1393603269\t4.060000\n1393603870\t3.940000\n1393604485\t3.880000\n1393605086\t3.880000\n1393605686\t3.880000\n1393606287\t3.940000\n1393606887\t3.940000\n1393607488\t3.810000\n1393608088\t3.750000\n1393608689\t3.690000\n1393609289\t3.690000\n1393609890\t3.690000\n1393610490\t3.620000\n1393611091\t3.620000\n1393611691\t3.560000\n1393612292\t3.560000\n1393612892\t3.500000\n1393613493\t3.500000\n1393614093\t3.500000\n1393614694\t3.380000\n1393615294\t3.250000\n1393615895\t3.250000\n1393616495\t3.250000\n1393617096\t3.190000\n1393617696\t3.120000\n1393618297\t3.060000\n1393618897\t3.000000\n1393619498\t2.940000\n1393620098\t2.940000\n1393620699\t2.940000\n1393621300\t2.810000\n1393621915\t2.880000\n1393622516\t2.810000\n1393623116\t2.750000\n1393623717\t2.750000\n1393624317\t2.690000\n1393624918\t2.690000\n1393625518\t2.750000\n1393626119\t2.690000\n1393626719\t2.620000\n1393627320\t2.620000\n1393627920\t2.560000\n1393628521\t2.560000\n1393629121\t2.620000\n1393629722\t2.620000\n1393630322\t2.620000\n1393630923\t2.560000\n1393631523\t2.500000\n1393632124\t2.440000\n1393632724\t2.380000\n1393633325\t2.380000\n1393633925\t2.310000\n1393634526\t2.250000\n1393635126\t2.190000\n1393635727\t2.120000\n1393636327\t2.120000\n1393636928\t2.000000\n1393637528\t1.940000\n1393638129\t1.620000\n1393638744\t1.560000\n1393639345\t1.500000\n1393639945\t1.440000\n1393640546\t1.440000\n1393641146\t1.440000\n1393641747\t1.440000\n1393642347\t1.500000\n1393642948\t1.440000\n1393643548\t1.440000\n1393644149\t1.380000\n1393644749\t1.440000\n1393645350\t1.500000\n1393645950\t1.500000\n1393646551\t1.500000\n1393647151\t1.500000\n1393647752\t1.440000\n1393648352\t1.500000\n1393648953\t1.560000\n1393649553\t1.560000\n1393650154\t1.560000\n1393650754\t1.560000\n1393651355\t1.560000\n1393651955\t1.560000\n1393652556\t1.560000\n1393653156\t1.560000\n1393653757\t1.500000\n1393654357\t1.500000\n1393654958\t1.500000\n1393655573\t1.500000\n1393656174\t1.500000\n1393656774\t1.620000\n1393657375\t1.620000\n1393657975\t1.560000\n1393658576\t1.620000\n1393659176\t1.690000\n1393659777\t1.750000\n1393660377\t1.750000\n1393660978\t1.810000\n1393661578\t1.880000\n1393662179\t1.880000\n1393662779\t2.000000\n1393663380\t2.120000\n1393663980\t2.120000\n1393664581\t2.250000\n1393665181\t2.190000\n1393665782\t2.250000\n1393666382\t2.190000\n1393666983\t2.250000\n1393667583\t2.190000\n1393668184\t2.120000\n1393668784\t2.120000\n1393669385\t2.250000\n1393669985\t2.250000\n1393670586\t2.250000\n1393671186\t2.310000\n1393671787\t2.310000\n1393672387\t2.310000\n1393673003\t2.310000\n1393673603\t2.380000\n1393674204\t2.440000\n1393674804\t2.500000\n1393675405\t2.690000\n1393676005\t2.620000\n1393676606\t2.750000\n1393677206\t2.880000\n1393677807\t2.940000\n1393678407\t3.000000\n1393679008\t2.940000\n1393679608\t3.000000\n1393680209\t2.940000\n1393680809\t2.940000\n1393681410\t3.000000\n1393682010\t2.940000\n1393682611\t2.810000\n1393683211\t2.750000\n1393683812\t2.690000\n1393684412\t2.620000\n1393685013\t2.620000\n1393685613\t2.620000\n1393686214\t2.620000\n1393686814\t2.560000\n1393687415\t2.560000\n1393688015\t2.500000\n1393688616\t2.440000\n1393689216\t2.440000\n1393689817\t2.380000\n1393690432\t2.380000\n1393691033\t2.310000\n1393691633\t2.250000\n1393692234\t2.190000\n1393692834\t2.190000\n1393693435\t2.190000\n1393694035\t2.120000\n1393694636\t2.120000\n1393695236\t2.120000\n1393695837\t2.120000\n1393696437\t2.120000\n1393697038\t2.120000\n1393697638\t2.190000\n1393698239\t2.120000\n1393698839\t2.120000\n1393699440\t2.120000\n1393700040\t2.120000\n1393700641\t2.120000\n1393701241\t2.120000\n1393701842\t2.120000\n1393702442\t2.120000\n1393703043\t2.120000\n1393703643\t2.060000\n1393704244\t2.060000\n1393704844\t2.120000\n1393705445\t2.060000\n1393706045\t2.000000\n1393706646\t2.000000\n1393707246\t2.000000\n1393707847\t2.000000\n1393708447\t1.940000\n1393709063\t2.000000\n1393709664\t1.940000\n1393710264\t1.880000\n1393710865\t1.880000\n1393711465\t1.810000\n1393712066\t1.810000\n1393712666\t1.810000\n1393713267\t1.880000\n1393713867\t1.810000\n1393714468\t1.810000\n1393715068\t1.750000\n1393715669\t1.810000\n1393716269\t1.750000\n1393716870\t1.810000\n1393717470\t1.750000\n1393718071\t1.750000\n1393718671\t1.750000\n1393719272\t1.750000\n1393719872\t1.750000\n1393720473\t1.750000\n1393721074\t1.810000\n1393721674\t1.750000\n1393722275\t1.750000\n1393722875\t1.750000\n1393723476\t1.750000\n1393724076\t1.750000\n1393724677\t1.750000\n1393725277\t1.750000\n1393725878\t1.750000\n1393726493\t1.750000\n1393727094\t1.690000\n1393727694\t1.620000\n1393728295\t1.620000\n1393728895\t1.620000\n1393729496\t1.620000\n1393730096\t1.560000\n1393730697\t1.560000\n1393731297\t1.500000\n1393731898\t1.560000\n1393732498\t1.500000\n1393733099\t1.500000\n1393733699\t1.440000\n1393734300\t1.440000\n1393734900\t1.380000\n1393735501\t1.380000\n1393736101\t1.310000\n1393736702\t1.380000\n1393737302\t1.380000\n1393737903\t1.380000\n1393738503\t1.380000\n1393739104\t1.310000\n1393739704\t1.310000\n1393740305\t1.250000\n1393740905\t1.250000\n1393741506\t1.310000\n1393742106\t1.310000\n1393742707\t1.380000\n1393743323\t1.440000\n1393743923\t1.440000\n1393744524\t1.440000\n1393745124\t1.440000\n1393745725\t1.500000\n1393746325\t1.500000\n1393746926\t1.560000\n1393747526\t1.690000\n1393748127\t1.690000\n1393748727\t1.690000\n1393749328\t1.750000\n1393749928\t1.810000\n1393750529\t1.810000\n1393751129\t2.000000\n1393751730\t2.000000\n1393752330\t2.060000\n1393752931\t2.060000\n1393753531\t2.060000\n1393754132\t2.120000\n1393754732\t2.120000\n1393755333\t2.120000\n1393755933\t2.120000\n1393756534\t2.190000\n1393757135\t2.190000\n1393757750\t2.250000\n1393758351\t2.190000\n1393758951\t2.250000\n1393759552\t2.190000\n1393760152\t2.310000\n1393760753\t2.310000\n1393761353\t2.380000\n1393761954\t2.310000\n1393762554\t2.310000\n1393763155\t2.310000\n1393763755\t2.250000\n1393764356\t2.440000\n1393764956\t2.380000\n1393765557\t2.440000\n1393766157\t2.560000\n1393766758\t2.620000\n1393767358\t2.560000\n1393767959\t2.500000\n1393768560\t2.500000\n1393769160\t2.440000\n1393769761\t2.440000\n1393770361\t2.500000\n1393770962\t2.560000\n1393771562\t2.620000\n1393772163\t2.620000\n1393772763\t2.560000\n1393774039\t2.440000\n1393774640\t2.440000\n1393775240\t2.380000\n1393775841\t2.310000\n1393776442\t2.310000\n1393777042\t2.380000\n1393777643\t2.380000\n1393778243\t2.310000\n1393778844\t2.310000\n1393779444\t2.310000\n1393780045\t2.250000\n1393780645\t2.250000\n1393781261\t2.120000\n1393781862\t2.060000\n1393782462\t1.810000\n1393783063\t1.620000\n1393783663\t1.440000\n1393784264\t1.310000\n1393784864\t1.310000\n1393785465\t1.250000\n1393786065\t1.060000\n1393786666\t1.060000\n1393787266\t1.120000\n1393787867\t1.120000\n1393788467\t1.190000\n1393789068\t1.190000\n1393789669\t1.250000\n1393790269\t1.250000\n1393790870\t1.190000\n1393791470\t1.250000\n1393792071\t1.250000\n1393792671\t1.310000\n1393793272\t1.310000\n1393793872\t1.310000\n1393794473\t1.310000\n1393795074\t1.380000\n1393795674\t1.310000\n1393796275\t1.380000\n1393796875\t1.440000\n1393797476\t1.440000\n1393798076\t1.440000\n1393798677\t1.440000\n1393799277\t1.440000\n1393799878\t1.440000\n1393800479\t1.500000\n1393801079\t1.500000\n1393801680\t1.560000\n1393802280\t1.500000\n1393802881\t1.500000\n1393803481\t1.500000\n1393804097\t1.440000\n1393804697\t1.500000\n1393805298\t1.500000\n1393805899\t1.500000\n1393806499\t1.500000\n1393807100\t1.500000\n1393807700\t1.560000\n1393808301\t1.560000\n1393808901\t1.560000\n1393809502\t1.500000\n1393810102\t1.500000\n1393810703\t1.500000\n1393811304\t1.440000\n1393811904\t1.500000\n1393812505\t1.500000\n1393813105\t1.560000\n1393813706\t1.560000\n1393814306\t1.620000\n1393814907\t1.620000\n1393815507\t1.620000\n1393816108\t1.620000\n1393816709\t1.620000\n1393817309\t1.560000\n1393817910\t1.500000\n1393818510\t1.310000\n1393819111\t1.310000\n1393819711\t1.250000\n1393820312\t1.250000\n1393820912\t1.310000\n1393821513\t1.310000\n1393822114\t1.310000\n1393822714\t1.440000\n1393823315\t1.440000\n1393823915\t1.380000\n1393824516\t1.190000\n1393825116\t1.190000\n1393825717\t1.190000\n1393826317\t1.190000\n1393826918\t1.190000\n1393827534\t1.250000\n1393828134\t1.250000\n1393828735\t1.310000\n1393829335\t1.310000\n1393829936\t1.310000\n1393830536\t1.380000\n1393831137\t1.500000\n1393831737\t1.620000\n1393832338\t1.880000\n1393832939\t2.000000\n1393833539\t2.310000\n1393834140\t2.750000\n1393834740\t3.120000\n1393835341\t3.310000\n1393835941\t3.250000\n1393836542\t3.310000\n1393837143\t3.810000\n1393837743\t3.750000\n1393838344\t3.690000\n1393838944\t3.810000\n1393839545\t3.880000\n1393840145\t3.880000\n1393840746\t3.940000\n1393841346\t3.750000\n1393841947\t3.810000\n1393842548\t4.000000\n1393843148\t4.310000\n1393843749\t4.380000\n1393844349\t4.440000\n1393844950\t4.690000\n1393845550\t5.190000\n1393846151\t4.750000\n1393846751\t4.440000\n1393847352\t4.500000\n1393847967\t4.060000\n1393848568\t3.810000\n1393849169\t3.620000\n1393849769\t3.620000\n1393850370\t3.560000\n1393850970\t3.440000\n1393851571\t3.500000\n1393852171\t3.310000\n1393852772\t3.440000\n1393853372\t3.310000\n1393853973\t3.250000\n1393854574\t3.310000\n1393855174\t3.310000\n1393855775\t3.380000\n1393856375\t3.500000\n1393856976\t3.560000\n1393857576\t3.310000\n1393858177\t3.190000\n1393858777\t3.060000\n1393859378\t3.000000\n1393859979\t2.940000\n1393860579\t2.940000\n1393861180\t2.880000\n1393861780\t2.880000\n1393862381\t2.750000\n1393862981\t2.690000\n1393863582\t2.620000\n1393864183\t2.690000\n1393864783\t2.690000\n1393865384\t2.690000\n1393865984\t2.750000\n1393866585\t2.750000\n1393867200\t2.750000\n1393867801\t2.690000\n1393868401\t2.690000\n1393869002\t2.690000\n1393869603\t2.690000\n1393870203\t2.620000\n1393870804\t2.560000\n1393871404\t2.620000\n1393872005\t2.620000\n1393872605\t2.620000\n1393873206\t2.620000\n1393873806\t2.620000\n1393874407\t2.620000\n1393875008\t2.620000\n1393875608\t2.560000\n1393876209\t2.560000\n1393876809\t2.560000\n1393877410\t2.560000\n1393878010\t2.500000\n1393878611\t2.500000\n1393879211\t2.500000\n1393879812\t2.500000\n1393880413\t2.500000\n1393881013\t2.380000\n1393881614\t2.310000\n1393882214\t2.190000\n1393882815\t2.190000\n1393883430\t2.190000\n1393884031\t2.190000\n1393884631\t2.250000\n1393885232\t2.250000\n1393885832\t2.250000\n1393886433\t2.310000\n1393887034\t2.310000\n1393887634\t2.310000\n1393888235\t2.310000\n1393888835\t2.310000\n1393889436\t2.250000\n1393890036\t2.190000\n1393890637\t2.190000\n1393891237\t2.190000\n1393891838\t2.250000\n1393892438\t2.250000\n1393893039\t2.250000\n1393893640\t2.250000\n1393894240\t2.250000\n1393894841\t2.310000\n1393895441\t2.310000\n1393896042\t2.440000\n1393896642\t2.440000\n1393897243\t2.440000\n1393897843\t2.440000\n1393898444\t2.440000\n1393899060\t2.380000\n1393899660\t2.380000\n1393900261\t2.310000\n1393900861\t2.310000\n1393901462\t2.310000\n1393902062\t2.310000\n1393902663\t2.310000\n1393903263\t2.250000\n1393903864\t2.250000\n1393904465\t2.250000\n1393905065\t2.250000\n1393905666\t2.250000\n1393906266\t2.190000\n1393906867\t2.120000\n1393907467\t2.120000\n1393908068\t2.120000\n1393908669\t2.120000\n1393909269\t2.060000\n1393909870\t2.120000\n1393910470\t2.120000\n1393911071\t2.060000\n1393911671\t2.120000\n1393912272\t2.120000\n1393912872\t2.120000\n1393913473\t2.190000\n1393914074\t2.190000\n1393914674\t2.190000\n1393915275\t2.310000\n1393915875\t2.310000\n1393916476\t2.380000\n1393917076\t2.440000\n1393917677\t2.500000\n1393918292\t2.620000\n1393918893\t2.750000\n1393919493\t2.940000\n1393920094\t3.060000\n1393920695\t3.060000\n1393921295\t3.190000\n1393921896\t3.250000\n1393922496\t3.440000\n1393923097\t3.620000\n1393923697\t3.750000\n1393924298\t4.000000\n1393924899\t4.190000\n1393925499\t4.120000\n1393926100\t4.190000\n1393926700\t4.380000\n1393927301\t4.500000\n1393927901\t4.560000\n1393928502\t4.620000\n1393929102\t4.560000\n1393929703\t4.620000\n1393930304\t4.560000\n1393930904\t4.690000\n1393931505\t4.620000\n1393932105\t4.560000\n1393932706\t4.560000\n1393933306\t4.810000\n1393933907\t5.000000\n1393934507\t5.190000\n1393935108\t5.440000\n1393935708\t5.690000\n1393936309\t5.940000\n1393936910\t6.120000\n1393937510\t6.190000\n1393938126\t6.440000\n1393938726\t6.620000\n1393939327\t6.310000\n1393939927\t6.060000\n1393940528\t6.190000\n1393941128\t6.440000\n1393941729\t6.620000\n1393942330\t6.810000\n1393942930\t6.880000\n1393943531\t6.620000\n1393944131\t6.440000\n1393944732\t6.060000\n1393945332\t5.940000\n1393945933\t5.620000\n1393946534\t5.310000\n1393947134\t5.060000\n1393947735\t4.880000\n1393948335\t4.690000\n1393948936\t4.440000\n1393949536\t4.060000\n1393950137\t3.880000\n1393950737\t3.560000\n1393951338\t3.310000\n1393951939\t3.250000\n1393952539\t3.120000\n1393953140\t3.000000\n1393953740\t3.000000\n1393954341\t2.940000\n1393954941\t3.000000\n1393955542\t3.000000\n1393956142\t3.000000\n1393956758\t2.940000\n1393957358\t3.000000\n1393957959\t3.000000\n1393958559\t3.060000\n1393959160\t3.000000\n1393959761\t3.060000\n1393960361\t3.060000\n1393960962\t3.060000\n1393961562\t3.060000\n1393962163\t3.060000\n1393962763\t3.120000\n1393963364\t3.190000\n1393963964\t3.250000\n1393964565\t3.190000\n1393965166\t3.190000\n1393965766\t3.190000\n1393966367\t3.120000\n1393966967\t3.120000\n1393967568\t3.060000\n1393968168\t3.060000\n1393968769\t3.060000\n1393969369\t3.000000\n1393969970\t2.940000\n1393970571\t2.880000\n1393971171\t2.810000\n1393971772\t2.690000\n1393972372\t2.440000\n1393972988\t2.190000\n1393973588\t1.880000\n1393974189\t1.690000\n1393974790\t1.500000\n1393975390\t1.440000\n1393975991\t1.310000\n1393976591\t1.190000\n1393977192\t1.000000\n1393977792\t1.000000\n1393978393\t0.940000\n1393978994\t0.940000\n1393979594\t0.810000\n1393980195\t0.690000\n1393980795\t0.690000\n1393981396\t0.750000\n1393981996\t0.880000\n1393982597\t1.060000\n1393983197\t1.060000\n1393983798\t1.190000\n1393984399\t1.120000\n1393984999\t1.120000\n1393985600\t1.190000\n1393986200\t1.310000\n1393986801\t1.440000\n1393987401\t1.440000\n1393988002\t1.440000\n1393988602\t1.380000\n1393989203\t1.440000\n1393989819\t1.440000\n1393990419\t1.440000\n1393991020\t1.500000\n1393991620\t1.560000\n1393992221\t1.560000\n1393992821\t1.500000\n1393993422\t1.560000\n1393994022\t1.560000\n1393994623\t1.560000\n1393995224\t1.560000\n1393995824\t1.560000\n1393996425\t1.620000\n1393997025\t1.560000\n1393997626\t1.560000\n1393998226\t1.620000\n1393998827\t1.690000\n1393999427\t1.690000\n1394000028\t1.810000\n1394000628\t1.880000\n1394001229\t1.880000\n1394001830\t1.880000\n1394002430\t1.940000\n1394003031\t2.000000\n1394003631\t2.120000\n1394004232\t2.120000\n1394004832\t2.190000\n1394005433\t2.310000\n1394006033\t2.500000\n1394006634\t2.560000\n1394007235\t2.560000\n1394007835\t2.620000\n1394008451\t2.690000\n1394009051\t2.690000\n1394009652\t2.620000\n1394010252\t2.620000\n1394010853\t2.690000\n1394011454\t2.750000\n1394012054\t2.750000\n1394012655\t2.750000\n1394013255\t2.750000\n1394013856\t2.690000\n1394014456\t2.690000\n1394015057\t2.690000\n1394015657\t2.620000\n1394016258\t2.690000\n1394016858\t2.690000\n1394017459\t2.620000\n1394018060\t2.620000\n1394018660\t2.620000\n1394019261\t2.620000\n1394019861\t2.750000\n1394020462\t2.690000\n1394021062\t2.750000\n1394021663\t2.810000\n1394022264\t3.000000\n1394022864\t3.190000\n1394023465\t3.190000\n1394024065\t3.190000\n1394024666\t3.120000\n1394025266\t3.190000\n1394025867\t3.310000\n1394026482\t3.380000\n1394027083\t3.560000\n1394027684\t3.560000\n1394028284\t3.620000\n1394028885\t3.690000\n1394029485\t3.880000\n1394030086\t4.060000\n1394030686\t4.690000\n1394031287\t4.500000\n1394031887\t4.250000\n1394032488\t3.940000\n1394033088\t3.940000\n1394033689\t3.690000\n1394034290\t3.120000\n1394034890\t2.880000\n1394035491\t2.620000\n1394036091\t2.380000\n1394036692\t2.190000\n1394037292\t2.060000\n1394037893\t2.060000\n1394038494\t2.060000\n1394039094\t2.060000\n1394039695\t1.940000\n1394040295\t1.810000\n1394040896\t1.940000\n1394041496\t2.000000\n1394042097\t1.940000\n1394042697\t1.940000\n1394043298\t1.940000\n1394043899\t1.750000\n1394044499\t1.560000\n1394045115\t1.500000\n1394045715\t1.440000\n1394046316\t1.380000\n1394046916\t1.440000\n1394047517\t1.440000\n1394048117\t1.500000\n1394048718\t1.500000\n1394049319\t1.310000\n1394049919\t0.880000\n1394050520\t0.560000\n1394051120\t0.500000\n1394051721\t0.310000\n1394052321\t0.060000\n1394052922\t-0.060000\n1394053523\t-0.120000\n1394054123\t-0.060000\n1394054724\t-0.120000\n1394055324\t-0.120000\n1394055925\t0.060000\n1394056525\t0.060000\n1394057126\t0.000000\n1394057726\t0.250000\n1394058327\t0.250000\n1394058928\t0.190000\n1394059528\t0.120000\n1394060129\t-0.250000\n1394060729\t-0.310000\n1394061330\t-0.380000\n1394061930\t-0.380000\n1394062546\t-0.380000\n1394063146\t-0.440000\n1394063747\t-0.380000\n1394064348\t-0.380000\n1394064948\t-0.810000\n1394065549\t-0.750000\n1394066149\t-0.750000\n1394066750\t-0.620000\n1394067350\t-0.440000\n1394067951\t-0.380000\n1394068551\t-0.690000\n1394069152\t-0.560000\n1394069752\t-0.310000\n1394070353\t-0.250000\n1394070954\t-0.310000\n1394071554\t-0.380000\n1394072155\t-0.190000\n1394072755\t0.000000\n1394073356\t0.250000\n1394073956\t0.380000\n1394074557\t0.440000\n1394075157\t0.620000\n1394075758\t0.690000\n1394076359\t0.750000\n1394076959\t0.750000\n1394077560\t0.750000\n1394078160\t0.750000\n1394078761\t0.810000\n1394079361\t0.810000\n1394079962\t0.620000\n1394080578\t0.500000\n1394081178\t0.440000\n1394081779\t0.380000\n1394082379\t0.310000\n1394082980\t0.190000\n1394083580\t0.250000\n1394084181\t0.380000\n1394084781\t0.310000\n1394085382\t0.380000\n1394085982\t0.440000\n1394086583\t0.560000\n1394087184\t0.750000\n1394087784\t0.880000\n1394088385\t1.000000\n1394088985\t1.310000\n1394089586\t1.380000\n1394090186\t1.380000\n1394090787\t1.440000\n1394091387\t1.690000\n1394091988\t1.940000\n1394092588\t1.940000\n1394093189\t1.940000\n1394093790\t2.120000\n1394094390\t2.560000\n1394094991\t2.940000\n1394095591\t3.120000\n1394096192\t3.190000\n1394096792\t3.380000\n1394097393\t3.310000\n1394098008\t3.190000\n1394098609\t3.190000\n1394099209\t3.190000\n1394099810\t3.190000\n1394100411\t3.560000\n1394101011\t3.750000\n1394101612\t4.190000\n1394102212\t4.250000\n1394102813\t4.750000\n1394103413\t4.750000\n1394104014\t4.810000\n1394104614\t5.310000\n1394105215\t5.250000\n1394105815\t5.190000\n1394106416\t5.560000\n1394107017\t5.620000\n1394107617\t5.750000\n1394108218\t5.750000\n1394108818\t6.060000\n1394109419\t6.440000\n1394110019\t6.250000\n1394110620\t6.250000\n1394111220\t6.250000\n1394111821\t6.190000\n1394112422\t6.190000\n1394113022\t6.120000\n1394113623\t6.190000\n1394114223\t6.310000\n1394114839\t6.560000\n1394115439\t6.940000\n1394116040\t7.190000\n1394116640\t7.060000\n1394117241\t6.940000\n1394117842\t7.120000\n1394118442\t7.060000\n1394119043\t6.620000\n1394119643\t6.440000\n1394120244\t6.380000\n1394120844\t6.310000\n1394121445\t6.250000\n1394122045\t6.060000\n1394122646\t5.810000\n1394123246\t5.560000\n1394123847\t5.500000\n1394124448\t5.440000\n1394125048\t5.380000\n1394125649\t5.250000\n1394126249\t5.190000\n1394126850\t5.310000\n1394127450\t5.310000\n1394128051\t5.380000\n1394128652\t5.310000\n1394129252\t5.380000\n1394129853\t5.440000\n1394130453\t5.440000\n1394131054\t5.560000\n1394131654\t5.690000\n1394132270\t5.810000\n1394132871\t5.880000\n1394133471\t5.880000\n1394134072\t5.940000\n1394134672\t5.940000\n1394135273\t5.750000\n1394135873\t5.690000\n1394136474\t5.690000\n1394137074\t5.690000\n1394137675\t5.750000\n1394138276\t5.880000\n1394138876\t5.880000\n1394139477\t5.880000\n1394140077\t5.810000\n1394140678\t5.810000\n1394141278\t5.810000\n1394141879\t5.750000\n1394142479\t5.690000\n1394143080\t5.620000\n1394143681\t5.500000\n1394144281\t5.380000\n1394144882\t5.250000\n1394145482\t5.250000\n1394146083\t5.380000\n1394146683\t5.440000\n1394147284\t5.560000\n1394147884\t5.620000\n1394148485\t5.620000\n1394149086\t5.620000\n1394149686\t5.690000\n1394150287\t5.620000\n1394150887\t5.620000\n1394151503\t5.620000\n1394152103\t5.620000\n1394152704\t5.620000\n1394153304\t5.620000\n1394153905\t5.690000\n1394154506\t5.690000\n1394155106\t5.690000\n1394155707\t5.690000\n1394156307\t5.690000\n1394156908\t5.500000\n1394157508\t5.440000\n1394158109\t5.500000\n1394158709\t5.500000\n1394159310\t5.560000\n1394159911\t5.560000\n1394160511\t5.560000\n1394161112\t5.620000\n1394161712\t5.690000\n1394162313\t5.750000\n1394162913\t5.880000\n1394163514\t5.880000\n1394164114\t5.880000\n1394164715\t5.810000\n1394165316\t5.810000\n1394165916\t5.750000\n1394166517\t5.810000\n1394167117\t5.810000\n1394167718\t5.690000\n1394168318\t5.560000\n1394168919\t5.690000\n1394169519\t5.880000\n1394170120\t5.940000\n1394170720\t6.190000\n1394171321\t6.190000\n1394171922\t6.380000\n1394172537\t6.380000\n1394173138\t6.500000\n1394173738\t6.500000\n1394174339\t6.560000\n1394174939\t6.750000\n1394175540\t6.880000\n1394176140\t7.060000\n1394176741\t7.120000\n1394177342\t7.250000\n1394177942\t7.380000\n1394178543\t7.440000\n1394179143\t7.620000\n1394179744\t7.690000\n1394180344\t7.880000\n1394180945\t7.940000\n1394181545\t8.000000\n1394182146\t8.000000\n1394182747\t8.250000\n1394183347\t8.380000\n1394183948\t8.560000\n1394184548\t8.560000\n1394185149\t8.750000\n1394185749\t8.690000\n1394186350\t8.810000\n1394186950\t8.880000\n1394187551\t9.000000\n1394188152\t9.190000\n1394188752\t9.380000\n1394189353\t9.250000\n1394189953\t9.250000\n1394190554\t9.250000\n1394191154\t9.310000\n1394191755\t9.380000\n1394192356\t9.310000\n1394192956\t9.310000\n1394193557\t9.500000\n1394194172\t9.690000\n1394194773\t9.810000\n1394195373\t9.810000\n1394195974\t10.120000\n1394196575\t10.060000\n1394197175\t10.000000\n1394197776\t10.120000\n1394198376\t10.060000\n1394198977\t10.000000\n1394199577\t10.190000\n1394200178\t10.190000\n1394200778\t10.250000\n1394201379\t10.250000\n1394201979\t10.250000\n1394202580\t10.000000\n1394203181\t9.940000\n1394203781\t9.880000\n1394204382\t9.810000\n1394204982\t9.810000\n1394205583\t9.750000\n1394206183\t9.690000\n1394206784\t9.750000\n1394207384\t9.620000\n1394207985\t9.620000\n1394208585\t9.440000\n1394209186\t9.440000\n1394209787\t9.380000\n1394210387\t9.380000\n1394210988\t9.310000\n1394211588\t9.250000\n1394212189\t9.250000\n1394212789\t9.250000\n1394213390\t9.190000\n1394214005\t9.250000\n1394214606\t9.310000\n1394215206\t9.250000\n1394215807\t9.310000\n1394216408\t9.310000\n1394217008\t9.380000\n1394217609\t9.380000\n1394218209\t9.310000\n1394218810\t9.120000\n1394219410\t8.810000\n1394220011\t8.690000\n1394220612\t8.500000\n1394221212\t8.310000\n1394221813\t8.310000\n1394222413\t8.250000\n1394223014\t8.190000\n1394223614\t8.190000\n1394224215\t8.190000\n1394224815\t8.120000\n1394225416\t8.000000\n1394226017\t7.940000\n1394226617\t7.880000\n1394227218\t7.750000\n1394227818\t7.690000\n1394228419\t7.560000\n1394229019\t7.500000\n1394229620\t7.440000\n1394230220\t7.380000\n1394230821\t6.690000\n1394231422\t6.440000\n1394232022\t6.440000\n1394232623\t6.310000\n1394233223\t6.190000\n1394233824\t6.060000\n1394234424\t5.750000\n1394235040\t5.500000\n1394235640\t5.310000\n1394236241\t5.120000\n1394236842\t4.880000\n1394237442\t4.750000\n1394238043\t4.620000\n1394238643\t4.440000\n1394239244\t4.440000\n1394239844\t4.440000\n1394240445\t4.500000\n1394241045\t4.560000\n1394241646\t4.810000\n1394242247\t4.750000\n1394242847\t4.810000\n1394243448\t4.880000\n1394244048\t4.940000\n1394244649\t4.940000\n1394245249\t4.690000\n1394245850\t4.620000\n1394246450\t4.560000\n1394247051\t4.440000\n1394247652\t4.190000\n1394248252\t4.120000\n1394248853\t4.000000\n1394249453\t4.000000\n1394250054\t3.940000\n1394250654\t3.880000\n1394251255\t3.880000\n1394251870\t3.880000\n1394252471\t3.880000\n1394253072\t3.750000\n1394253672\t3.690000\n1394254273\t3.560000\n1394254873\t3.560000\n1394255474\t3.560000\n1394256074\t3.380000\n1394256675\t3.380000\n1394257275\t3.380000\n1394257876\t3.440000\n1394258476\t3.440000\n1394259077\t3.440000\n1394259678\t3.440000\n1394260278\t3.560000\n1394260879\t3.620000\n1394261479\t3.690000\n1394262080\t3.880000\n1394262680\t4.060000\n1394263281\t4.250000\n1394263881\t4.440000\n1394264482\t4.690000\n1394265083\t4.940000\n1394265683\t5.000000\n1394266284\t5.190000\n1394266884\t5.310000\n1394267485\t5.560000\n1394268085\t5.810000\n1394268701\t6.000000\n1394269301\t6.060000\n1394269902\t6.120000\n1394270503\t6.500000\n1394271103\t6.620000\n1394271704\t6.810000\n1394272304\t6.880000\n1394272905\t7.120000\n1394273505\t7.190000\n1394274106\t7.380000\n1394274706\t7.440000\n1394275307\t7.440000\n1394275908\t7.620000\n1394276508\t7.750000\n1394277109\t7.810000\n1394277709\t8.060000\n1394278310\t7.940000\n1394278910\t8.060000\n1394279511\t8.120000\n1394280111\t8.060000\n1394280712\t8.190000\n1394281312\t8.380000\n1394281913\t8.560000\n1394282514\t8.620000\n1394283114\t8.440000\n1394283715\t8.620000\n1394284315\t8.620000\n1394284916\t8.690000\n1394285531\t8.810000\n1394286132\t8.750000\n1394286733\t9.000000\n1394287333\t8.940000\n1394287934\t8.810000\n1394288534\t8.940000\n1394289135\t8.810000\n1394289735\t8.750000\n1394290336\t8.690000\n1394290937\t8.250000\n1394291537\t8.000000\n1394292138\t7.620000\n1394292738\t7.310000\n1394293339\t7.000000\n1394293939\t6.810000\n1394294540\t6.620000\n1394295141\t6.310000\n1394295741\t6.190000\n1394296342\t6.120000\n1394296942\t6.060000\n1394297543\t5.940000\n1394298143\t5.810000\n1394298744\t5.690000\n1394299344\t5.560000\n1394299945\t5.500000\n1394300545\t5.500000\n1394301146\t5.500000\n1394301747\t5.380000\n1394302347\t5.310000\n1394302948\t5.310000\n1394303548\t5.310000\n1394304149\t5.250000\n1394304749\t5.190000\n1394305365\t5.060000\n1394305966\t5.000000\n1394306566\t5.000000\n1394307167\t5.060000\n1394307767\t4.940000\n1394308368\t5.000000\n1394308968\t5.000000\n1394309569\t4.940000\n1394310169\t4.810000\n1394310770\t4.940000\n1394311370\t5.000000\n1394311971\t5.000000\n1394312572\t4.940000\n1394313172\t4.940000\n1394313773\t5.000000\n1394314373\t5.060000\n1394314974\t5.120000\n1394315574\t5.120000\n1394316175\t5.120000\n1394316775\t5.120000\n1394317376\t5.120000\n1394317976\t5.060000\n1394318577\t5.120000\n1394319178\t5.120000\n1394319778\t5.120000\n1394320379\t5.120000\n1394320979\t5.120000\n1394321580\t5.060000\n1394322180\t5.120000\n1394322781\t5.190000\n1394323397\t5.250000\n1394323997\t5.190000\n1394324598\t5.190000\n1394325198\t5.060000\n1394325799\t5.120000\n1394326399\t5.120000\n1394327000\t5.060000\n1394327600\t5.120000\n1394328201\t5.120000\n1394328802\t5.190000\n1394329402\t5.250000\n1394330003\t5.310000\n1394330603\t5.310000\n1394331204\t5.250000\n1394331804\t5.310000\n1394332405\t5.310000\n1394333005\t5.310000\n1394333606\t5.500000\n1394334207\t5.560000\n1394334807\t5.690000\n1394335408\t5.560000\n1394336008\t5.560000\n1394336609\t5.750000\n1394337209\t5.750000\n1394337810\t5.560000\n1394338411\t5.440000\n1394339011\t5.310000\n1394339612\t5.310000\n1394340212\t5.560000\n1394340813\t5.500000\n1394341413\t5.500000\n1394342014\t5.440000\n1394342629\t5.440000\n1394343230\t5.250000\n1394343831\t5.190000\n1394344431\t5.060000\n1394345032\t5.060000\n1394345632\t5.120000\n1394346233\t5.190000\n1394346833\t5.310000\n1394347434\t5.500000\n1394348034\t5.690000\n1394348635\t5.810000\n1394349236\t6.000000\n1394349836\t6.120000\n1394350437\t6.250000\n1394351037\t6.440000\n1394351638\t6.620000\n1394352238\t6.880000\n1394352839\t7.060000\n1394353440\t7.380000\n1394354040\t7.500000\n1394354641\t7.500000\n1394355241\t7.620000\n1394355842\t7.880000\n1394356442\t8.120000\n1394357043\t8.310000\n1394357659\t8.440000\n1394358259\t8.690000\n1394358860\t9.000000\n1394359460\t9.000000\n1394360061\t9.250000\n1394360661\t9.310000\n1394361262\t9.440000\n1394361862\t9.620000\n1394362463\t9.750000\n1394363063\t10.060000\n1394363664\t10.250000\n1394364265\t10.380000\n1394364865\t10.750000\n1394365466\t10.810000\n1394366066\t11.000000\n1394366667\t11.120000\n1394367267\t11.440000\n1394367868\t11.620000\n1394368468\t11.690000\n1394369069\t11.810000\n1394369670\t11.940000\n1394370270\t12.000000\n1394370871\t12.310000\n1394371471\t12.560000\n1394372072\t12.690000\n1394372672\t12.690000\n1394373273\t12.940000\n1394373873\t13.060000\n1394374474\t13.120000\n1394375074\t13.440000\n1394375675\t13.500000\n1394376276\t13.440000\n1394376891\t13.310000\n1394377492\t13.060000\n1394378092\t12.940000\n1394378693\t12.750000\n1394379293\t12.690000\n1394379894\t12.690000\n1394380495\t12.620000\n1394381095\t12.500000\n1394381696\t12.190000\n1394382296\t11.940000\n1394382897\t11.620000\n1394383497\t11.440000\n1394384098\t11.250000\n1394384699\t11.000000\n1394385299\t10.750000\n1394385900\t10.690000\n1394386500\t10.560000\n1394387101\t10.440000\n1394387701\t10.310000\n1394388302\t10.120000\n1394388903\t10.000000\n1394389503\t9.940000\n1394390104\t9.810000\n1394390704\t9.880000\n1394391305\t9.880000\n1394391905\t9.880000\n1394392506\t9.750000\n1394393106\t9.560000\n1394393707\t9.440000\n1394394323\t9.380000\n1394394923\t9.250000\n1394395524\t9.190000\n1394396124\t9.060000\n1394396725\t9.060000\n1394397325\t8.810000\n1394397926\t8.560000\n1394398526\t8.440000\n1394399127\t8.440000\n1394399727\t8.440000\n1394400328\t8.500000\n1394400929\t8.440000\n1394401529\t8.380000\n1394402130\t8.310000\n1394402730\t8.190000\n1394403331\t8.190000\n1394403931\t8.190000\n1394404532\t8.120000\n1394405133\t8.000000\n1394405733\t7.940000\n1394406334\t7.810000\n1394406934\t7.750000\n1394407535\t7.690000\n1394408135\t7.620000\n1394408736\t7.620000\n1394409336\t7.560000\n1394409937\t7.560000\n1394410538\t7.440000\n1394411138\t7.310000\n1394411739\t7.500000\n1394412339\t7.620000\n1394412955\t7.690000\n1394413555\t7.620000\n1394414156\t7.560000\n1394414756\t7.560000\n1394415357\t7.690000\n1394415958\t7.690000\n1394416558\t7.750000\n1394417159\t7.750000\n1394417759\t7.620000\n1394418360\t7.560000\n1394418960\t7.500000\n1394419561\t7.500000\n1394420161\t7.500000\n1394420762\t7.500000\n1394421363\t7.500000\n1394421963\t7.500000\n1394422564\t7.500000\n1394423164\t7.440000\n1394423765\t7.380000\n1394424365\t7.380000\n1394424966\t7.440000\n1394425566\t7.380000\n1394426167\t7.380000\n1394426768\t7.310000\n1394427368\t7.310000\n1394427969\t7.310000\n1394428569\t7.250000\n1394429170\t7.190000\n1394429785\t7.120000\n1394430386\t7.190000\n1394430987\t7.120000\n1394431587\t7.120000\n1394432188\t7.060000\n1394432788\t7.060000\n1394433389\t7.060000\n1394433989\t7.060000\n1394434590\t7.060000\n1394435191\t7.120000\n1394435791\t7.120000\n1394436392\t7.190000\n1394436992\t7.190000\n1394437593\t7.190000\n1394438193\t7.190000\n1394438794\t7.380000\n1394439394\t7.440000\n1394439995\t7.560000\n1394440596\t7.560000\n1394441196\t7.620000\n1394441797\t7.620000\n1394442397\t7.560000\n1394442998\t7.750000\n1394443598\t7.810000\n1394444199\t7.940000\n1394444799\t7.880000\n1394445400\t8.000000\n1394446001\t7.940000\n1394446601\t8.190000\n1394447202\t8.380000\n1394447802\t8.310000\n1394448403\t8.000000\n1394449003\t7.750000\n1394449604\t7.560000\n1394450219\t7.380000\n1394450820\t7.310000\n1394451420\t7.120000\n1394452021\t6.880000\n1394452622\t6.940000\n1394453222\t6.810000\n1394453823\t6.810000\n1394454423\t6.750000\n1394455024\t6.690000\n1394455624\t6.620000\n1394456225\t6.620000\n1394456825\t6.690000\n1394457426\t6.620000\n1394458026\t6.810000\n1394458627\t6.810000\n1394459228\t6.880000\n1394459828\t6.690000\n1394460429\t6.810000\n1394461029\t6.810000\n1394461630\t7.060000\n1394462230\t6.880000\n1394462831\t7.440000\n1394463432\t6.940000\n1394464032\t6.810000\n1394464633\t6.750000\n1394465233\t6.880000\n1394465834\t6.880000\n1394466434\t6.750000\n1394467035\t6.690000\n1394467635\t6.560000\n1394468251\t6.250000\n1394468852\t6.000000\n1394469452\t5.620000\n1394470053\t5.380000\n1394470653\t5.190000\n1394471254\t5.000000\n1394471854\t4.880000\n1394472455\t4.620000\n1394473055\t4.440000\n1394473656\t4.440000\n1394474257\t4.500000\n1394474857\t4.500000\n1394475458\t4.380000\n1394476058\t4.250000\n1394476659\t4.120000\n1394477259\t4.120000\n1394477860\t4.000000\n1394478461\t3.940000\n1394479061\t3.810000\n1394479662\t3.750000\n1394480262\t3.750000\n1394480863\t3.560000\n1394481463\t3.560000\n1394482064\t3.440000\n1394482664\t3.380000\n1394483265\t3.380000\n1394483866\t3.310000\n1394484466\t3.250000\n1394485067\t3.190000\n1394485682\t3.060000\n1394486283\t2.940000\n1394486883\t2.810000\n1394487484\t2.750000\n1394488084\t2.190000\n1394488685\t2.440000\n1394489286\t2.690000\n1394489886\t2.440000\n1394490487\t2.190000\n1394491087\t2.190000\n1394491688\t2.060000\n1394492288\t2.060000\n1394492889\t1.810000\n1394493489\t1.810000\n1394494090\t1.440000\n1394494691\t1.690000\n1394495291\t1.750000\n1394495892\t1.940000\n1394496492\t2.000000\n1394497093\t1.940000\n1394497693\t1.810000\n1394498294\t1.940000\n1394498894\t2.120000\n1394499495\t2.250000\n1394500096\t2.380000\n1394500696\t2.060000\n1394501297\t1.810000\n1394501897\t1.560000\n1394502498\t1.690000\n1394503098\t1.940000\n1394503714\t1.810000\n1394504315\t1.380000\n1394504915\t1.310000\n1394505516\t1.190000\n1394506116\t1.440000\n1394506717\t1.500000\n1394507317\t1.310000\n1394507918\t1.250000\n1394508518\t1.190000\n1394509119\t0.750000\n1394509720\t0.750000\n1394510320\t0.810000\n1394510921\t0.620000\n1394511521\t0.750000\n1394512122\t0.560000\n1394512722\t0.620000\n1394513323\t0.560000\n1394513923\t0.380000\n1394514524\t0.250000\n1394515124\t0.120000\n1394515725\t0.250000\n1394516326\t0.310000\n1394516926\t0.440000\n1394517527\t0.310000\n1394518127\t0.250000\n1394518728\t0.310000\n1394519328\t0.560000\n1394519929\t0.810000\n1394520529\t1.000000\n1394521130\t1.250000\n1394521731\t1.380000\n1394522331\t1.560000\n1394522947\t1.620000\n1394523547\t1.750000\n1394524148\t1.940000\n1394524748\t2.120000\n1394525349\t2.380000\n1394525949\t2.560000\n1394526550\t2.810000\n1394527151\t3.190000\n1394527751\t3.440000\n1394528352\t3.750000\n1394528952\t4.120000\n1394529553\t4.440000\n1394530153\t4.810000\n1394530754\t5.120000\n1394531355\t5.440000\n1394531955\t5.750000\n1394532556\t6.060000\n1394533156\t6.310000\n1394533757\t6.750000\n1394534357\t7.060000\n1394534958\t7.810000\n1394535558\t8.120000\n1394536159\t8.310000\n1394536759\t8.690000\n1394537360\t8.560000\n1394537961\t8.810000\n1394538561\t8.750000\n1394539162\t8.940000\n1394539762\t9.250000\n1394540363\t9.250000\n1394540963\t8.880000\n1394541564\t8.940000\n1394542179\t9.250000\n1394542780\t9.250000\n1394543380\t9.190000\n1394543981\t9.000000\n1394544581\t9.060000\n1394545182\t8.940000\n1394545783\t8.940000\n1394546383\t9.120000\n1394546984\t9.440000\n1394547584\t9.750000\n1394548185\t9.810000\n1394548785\t9.750000\n1394549386\t9.620000\n1394549986\t9.440000\n1394550587\t9.250000\n1394551188\t8.880000\n1394551788\t8.750000\n1394552389\t8.690000\n1394552989\t8.560000\n1394553590\t8.190000\n1394554190\t7.620000\n1394554791\t7.250000\n1394555391\t6.810000\n1394555992\t6.440000\n1394556592\t6.190000\n1394557193\t5.880000\n1394557794\t5.560000\n1394558394\t5.440000\n1394558995\t5.120000\n1394559595\t4.940000\n1394560196\t4.690000\n1394560796\t4.620000\n1394561412\t4.560000\n1394562012\t4.440000\n1394562613\t4.310000\n1394563214\t4.310000\n1394563814\t4.120000\n1394564415\t4.000000\n1394565015\t3.940000\n1394565616\t3.940000\n1394566216\t3.810000\n1394566817\t3.620000\n1394567417\t3.690000\n1394568018\t3.620000\n1394568619\t3.310000\n1394569219\t3.310000\n1394569820\t3.190000\n1394570420\t3.190000\n1394571021\t3.190000\n1394571621\t3.060000\n1394572222\t3.060000\n1394572823\t3.060000\n1394573423\t3.190000\n1394574024\t3.120000\n1394574624\t3.000000\n1394575225\t3.120000\n1394575825\t3.120000\n1394576426\t3.310000\n1394577026\t3.120000\n1394577627\t3.120000\n1394578227\t3.000000\n1394578828\t2.880000\n1394579428\t2.940000\n1394580029\t3.060000\n1394580645\t3.190000\n1394581245\t3.000000\n1394581846\t2.750000\n1394582446\t2.750000\n1394583047\t2.750000\n1394583647\t2.750000\n1394584248\t2.750000\n1394584848\t2.620000\n1394585449\t2.620000\n1394586049\t2.560000\n1394586650\t2.620000\n1394587251\t2.620000\n1394587851\t2.560000\n1394588452\t2.500000\n1394589052\t2.310000\n1394589653\t2.380000\n1394590253\t2.380000\n1394590854\t2.500000\n1394591454\t2.500000\n1394592055\t2.560000\n1394592656\t2.810000\n1394593256\t2.690000\n1394593857\t2.620000\n1394594457\t2.440000\n1394595058\t2.440000\n1394595658\t2.440000\n1394596259\t2.250000\n1394596874\t2.250000\n1394597475\t2.380000\n1394598075\t2.310000\n1394598676\t2.190000\n1394599276\t1.940000\n1394599877\t2.060000\n1394600478\t2.060000\n1394601078\t2.000000\n1394601679\t1.880000\n1394602279\t1.940000\n1394602880\t1.880000\n1394603480\t2.000000\n1394604081\t2.000000\n1394604681\t2.120000\n1394605282\t2.250000\n1394605883\t2.440000\n1394606483\t2.620000\n1394607084\t2.810000\n1394607684\t2.880000\n1394608285\t3.060000\n1394608885\t3.250000\n1394609486\t3.250000\n1394610086\t3.380000\n1394610687\t3.620000\n1394611287\t3.940000\n1394611888\t4.250000\n1394612488\t4.440000\n1394613089\t4.750000\n1394613689\t5.060000\n1394614290\t5.440000\n1394614890\t5.810000\n1394615491\t6.060000\n1394616091\t6.250000\n1394616692\t6.560000\n1394617293\t7.060000\n1394617908\t7.120000\n1394618509\t7.310000\n1394619109\t7.560000\n1394619710\t7.750000\n1394620310\t8.060000\n1394620911\t8.250000\n1394621511\t8.750000\n1394622112\t8.810000\n1394622712\t8.880000\n1394623313\t9.190000\n1394623913\t9.380000\n1394624514\t9.380000\n1394625114\t9.690000\n1394625715\t9.810000\n1394626316\t10.190000\n1394626916\t10.500000\n1394627517\t10.440000\n1394628117\t10.380000\n1394628718\t10.380000\n1394629318\t10.620000\n1394629919\t10.880000\n1394630519\t11.190000\n1394631120\t11.190000\n1394631721\t10.620000\n1394632321\t10.120000\n1394632922\t9.690000\n1394633522\t9.500000\n1394634123\t9.440000\n1394634723\t9.690000\n1394635324\t9.810000\n1394635924\t10.120000\n1394636525\t9.810000\n1394637126\t10.120000\n1394637726\t10.310000\n1394638327\t10.380000\n1394638927\t10.620000\n1394639528\t10.500000\n1394640143\t10.500000\n1394640744\t10.380000\n1394641344\t10.190000\n1394641945\t9.810000\n1394642546\t9.500000\n1394643146\t9.060000\n1394643747\t8.880000\n1394644347\t8.620000\n1394644948\t8.250000\n1394645548\t8.380000\n1394646149\t8.440000\n1394646749\t8.310000\n1394647350\t8.120000\n1394647951\t7.880000\n1394648551\t7.620000\n1394649152\t7.380000\n1394649752\t7.250000\n1394650353\t7.060000\n1394650953\t6.750000\n1394651554\t6.500000\n1394652154\t6.310000\n1394652755\t6.190000\n1394653356\t6.120000\n1394653956\t6.000000\n1394654557\t5.810000\n1394655157\t5.620000\n1394655758\t5.500000\n1394656358\t5.250000\n1394656959\t5.000000\n1394657559\t4.940000\n1394658160\t4.750000\n1394658761\t4.690000\n1394659361\t4.500000\n1394659977\t4.310000\n1394660577\t4.120000\n1394661178\t4.120000\n1394661778\t4.060000\n1394662379\t4.060000\n1394662979\t3.880000\n1394663580\t3.750000\n1394664181\t3.750000\n1394664781\t3.750000\n1394665382\t3.690000\n1394665982\t3.560000\n1394666583\t3.380000\n1394667183\t3.250000\n1394667784\t3.190000\n1394668385\t3.190000\n1394668985\t2.880000\n1394669586\t2.560000\n1394670186\t2.750000\n1394670787\t2.810000\n1394671387\t2.810000\n1394671988\t2.560000\n1394672588\t2.500000\n1394673189\t2.690000\n1394673789\t2.620000\n1394674390\t2.500000\n1394675006\t2.440000\n1394675606\t2.440000\n1394676207\t2.310000\n1394676807\t2.250000\n1394677408\t2.060000\n1394678008\t2.060000\n1394678609\t2.060000\n1394679209\t2.060000\n1394679810\t1.940000\n1394680411\t1.940000\n1394681011\t1.810000\n1394681612\t1.810000\n1394682212\t1.620000\n1394682813\t1.560000\n1394683413\t1.620000\n1394684014\t1.620000\n1394684614\t1.500000\n1394685215\t1.440000\n1394685815\t1.380000\n1394686416\t1.380000\n1394687016\t1.310000\n1394687617\t1.190000\n1394688218\t1.190000\n1394688818\t1.250000\n1394689419\t1.250000\n1394690019\t1.310000\n1394690620\t1.440000\n1394691220\t1.500000\n1394691821\t1.620000\n1394692421\t1.810000\n1394693022\t1.940000\n1394693637\t2.120000\n1394694238\t2.310000\n1394694839\t2.560000\n1394695439\t2.750000\n1394696040\t3.000000\n1394696640\t3.310000\n1394697241\t3.560000\n1394697841\t3.810000\n1394698442\t4.120000\n1394699042\t4.440000\n1394699643\t4.690000\n1394700244\t4.750000\n1394700844\t5.000000\n1394701445\t5.250000\n1394702045\t5.560000\n1394702646\t5.690000\n1394703246\t6.000000\n1394703847\t6.310000\n1394704447\t6.560000\n1394705048\t6.690000\n1394705649\t6.880000\n1394706249\t7.000000\n1394706850\t7.380000\n1394707450\t7.880000\n1394708051\t7.810000\n1394708651\t8.500000\n1394709252\t8.500000\n1394709852\t8.880000\n1394710453\t8.750000\n1394711053\t8.810000\n1394711654\t8.810000\n1394712254\t9.190000\n1394712855\t9.000000\n1394713471\t9.190000\n1394714071\t9.310000\n1394714672\t9.620000\n1394715272\t9.810000\n1394715873\t10.000000\n1394716473\t9.940000\n1394717074\t10.000000\n1394717675\t10.120000\n1394718275\t10.190000\n1394718876\t10.380000\n1394719476\t10.310000\n1394720077\t10.310000\n1394720677\t10.440000\n1394721278\t10.310000\n1394721878\t10.190000\n1394722479\t10.250000\n1394723079\t10.190000\n1394723680\t10.120000\n1394724281\t10.060000\n1394724881\t9.880000\n1394725482\t9.620000\n1394726082\t9.620000\n1394726683\t9.560000\n1394727283\t9.190000\n1394727884\t8.880000\n1394728485\t8.560000\n1394729085\t8.380000\n1394729686\t8.060000\n1394730286\t8.000000\n1394730902\t7.810000\n1394731502\t7.690000\n1394732103\t7.560000\n1394732703\t7.380000\n1394733304\t7.250000\n1394733905\t7.190000\n1394734505\t7.190000\n1394735106\t7.060000\n1394735706\t6.940000\n1394736307\t6.810000\n1394736907\t6.750000\n1394737508\t6.560000\n1394738108\t6.440000\n1394738709\t6.310000\n1394739309\t6.250000\n1394739910\t6.310000\n1394740511\t6.190000\n1394741111\t6.120000\n1394741712\t6.120000\n1394742312\t6.120000\n1394742913\t6.120000\n1394743513\t6.060000\n1394744114\t6.060000\n1394744714\t5.810000\n1394745315\t5.620000\n1394745931\t5.440000\n1394746531\t5.440000\n1394747132\t5.190000\n1394747732\t5.120000\n1394748333\t5.000000\n1394748933\t4.880000\n1394749534\t4.880000\n1394750134\t4.810000\n1394750735\t4.750000\n1394751336\t4.620000\n1394751936\t4.500000\n1394752537\t4.440000\n1394753137\t4.380000\n1394753738\t4.310000\n1394754338\t4.060000\n1394754939\t3.810000\n1394755539\t3.560000\n1394756140\t3.500000\n1394756740\t3.500000\n1394757341\t3.310000\n1394757941\t3.310000\n1394758542\t3.190000\n1394759142\t2.750000\n1394759743\t2.750000\n1394760344\t2.810000\n1394760944\t2.750000\n1394761545\t2.440000\n1394762145\t2.310000\n1394762746\t2.440000\n1394763361\t2.500000\n1394763962\t2.440000\n1394764562\t2.440000\n1394765163\t2.310000\n1394765764\t2.060000\n1394766364\t1.880000\n1394766965\t2.120000\n1394767565\t2.190000\n1394768166\t2.000000\n1394768766\t2.060000\n1394769367\t1.810000\n1394769967\t1.810000\n1394770568\t1.560000\n1394771168\t1.560000\n1394771769\t1.690000\n1394772370\t1.620000\n1394772970\t2.000000\n1394773571\t2.190000\n1394774171\t2.250000\n1394774772\t2.190000\n1394775372\t2.310000\n1394775973\t2.250000\n1394776573\t2.440000\n1394777174\t2.440000\n1394777774\t2.500000\n1394778375\t2.750000\n1394778976\t3.000000\n1394779576\t3.190000\n1394780177\t3.560000\n1394780777\t3.690000\n1394781378\t3.620000\n1394781978\t4.310000\n1394782594\t4.750000\n1394783194\t4.810000\n1394783795\t4.940000\n1394784395\t5.310000\n1394784996\t5.690000\n1394785597\t6.060000\n1394786197\t6.500000\n1394786798\t6.880000\n1394787398\t7.060000\n1394787999\t7.440000\n1394788599\t7.940000\n1394789200\t8.190000\n1394789800\t8.440000\n1394790401\t8.620000\n1394791002\t8.750000\n1394791602\t8.880000\n1394792203\t9.060000\n1394792803\t9.310000\n1394793404\t9.310000\n1394794004\t9.500000\n1394794605\t9.940000\n1394795205\t9.880000\n1394795806\t9.810000\n1394796407\t9.810000\n1394797007\t10.060000\n1394797608\t9.940000\n1394798208\t10.120000\n1394798824\t9.500000\n1394799424\t9.440000\n1394800025\t10.060000\n1394800625\t10.060000\n1394801226\t10.000000\n1394801827\t9.940000\n1394802427\t10.120000\n1394803028\t10.060000\n1394803628\t10.120000\n1394804229\t10.120000\n1394804829\t10.060000\n1394805430\t10.000000\n1394806030\t10.000000\n1394806631\t9.690000\n1394807232\t9.440000\n1394807832\t9.190000\n1394808433\t9.060000\n1394809033\t8.810000\n1394809634\t8.560000\n1394810234\t8.380000\n1394810835\t8.250000\n1394811435\t8.060000\n1394812036\t8.000000\n1394812636\t7.620000\n1394813237\t7.060000\n1394813838\t6.940000\n1394814438\t6.810000\n1394815039\t6.690000\n1394815654\t6.440000\n1394816255\t6.440000\n1394816855\t6.380000\n1394817456\t5.880000\n1394818056\t5.440000\n1394818657\t5.250000\n1394819257\t5.120000\n1394819858\t5.000000\n1394820458\t4.940000\n1394821059\t4.880000\n1394821660\t4.750000\n1394822260\t4.750000\n1394822861\t4.620000\n1394823461\t4.560000\n1394824062\t4.560000\n1394824662\t4.560000\n1394825263\t4.620000\n1394825864\t4.690000\n1394826464\t4.750000\n1394827065\t4.750000\n1394827665\t4.750000\n1394828266\t4.750000\n1394828866\t4.690000\n1394829467\t4.690000\n1394830068\t4.690000\n1394830668\t4.690000\n1394831269\t4.750000\n1394831869\t4.810000\n1394832470\t4.810000\n1394833085\t4.810000\n1394833686\t4.880000\n1394834286\t4.940000\n1394834887\t4.940000\n1394835488\t5.000000\n1394836088\t5.060000\n1394836689\t5.060000\n1394837289\t5.120000\n1394837890\t5.120000\n1394838490\t5.120000\n1394839091\t5.060000\n1394839691\t5.120000\n1394840292\t5.310000\n1394840893\t5.310000\n1394841493\t5.310000\n1394842094\t5.380000\n1394842694\t5.310000\n1394843295\t5.120000\n1394843895\t5.000000\n1394844496\t4.940000\n1394845097\t4.750000\n1394845697\t4.690000\n1394846298\t4.620000\n1394846898\t4.560000\n1394847499\t4.380000\n1394848099\t4.250000\n1394848700\t4.120000\n1394849300\t3.810000\n1394849901\t3.620000\n1394850502\t3.440000\n1394851102\t3.310000\n1394851718\t3.250000\n1394852318\t3.120000\n1394852919\t2.880000\n1394853519\t2.620000\n1394854120\t2.560000\n1394854720\t2.560000\n1394855321\t2.560000\n1394855922\t2.380000\n1394856522\t2.380000\n1394857123\t2.250000\n1394857723\t2.190000\n1394858324\t2.120000\n1394858924\t2.190000\n1394859525\t2.250000\n1394860125\t2.310000\n1394860726\t2.380000\n1394861327\t2.440000\n1394861927\t2.560000\n1394862528\t2.690000\n1394863128\t2.810000\n1394863729\t2.880000\n1394864329\t2.940000\n1394864930\t2.810000\n1394865530\t2.750000\n1394866131\t2.620000\n1394866732\t2.620000\n1394867332\t2.620000\n1394867933\t2.620000\n1394868533\t2.750000\n1394869149\t3.190000\n1394869749\t3.120000\n1394870350\t3.060000\n1394870950\t3.000000\n1394871551\t3.310000\n1394872151\t3.560000\n1394872752\t4.000000\n1394873353\t3.940000\n1394873953\t3.940000\n1394874554\t3.880000\n1394875154\t4.120000\n1394875755\t4.190000\n1394876355\t4.060000\n1394876956\t4.250000\n1394877556\t4.310000\n1394878157\t4.560000\n1394878758\t4.620000\n1394879358\t4.880000\n1394879959\t5.000000\n1394880559\t5.120000\n1394881160\t4.810000\n1394881760\t5.250000\n1394882361\t5.440000\n1394882961\t5.060000\n1394883562\t5.000000\n1394884163\t5.440000\n1394884763\t5.250000\n1394885364\t5.000000\n1394885964\t5.120000\n1394886565\t5.190000\n1394887165\t5.690000\n1394887766\t5.500000\n1394888382\t5.380000\n1394888982\t5.560000\n1394889583\t5.440000\n1394890183\t5.880000\n1394890784\t6.310000\n1394891384\t6.560000\n1394891985\t6.380000\n1394892585\t6.250000\n1394893186\t6.250000\n1394893786\t6.250000\n1394894387\t6.380000\n1394894988\t5.690000\n1394895588\t6.000000\n1394896189\t6.190000\n1394896789\t6.190000\n1394897390\t6.060000\n1394897990\t6.060000\n1394898591\t5.690000\n1394899192\t5.440000\n1394899792\t5.190000\n1394900393\t4.940000\n1394900993\t4.750000\n1394901594\t4.500000\n1394902194\t4.380000\n1394902795\t4.190000\n1394903395\t4.000000\n1394903996\t3.500000\n1394904596\t3.380000\n1394905212\t3.310000\n1394905813\t3.190000\n1394906413\t3.060000\n1394907014\t3.000000\n1394907614\t4.190000\n1394908215\t4.310000\n1394908815\t4.120000\n1394909416\t3.940000\n1394910016\t3.690000\n1394910617\t3.690000\n1394911217\t3.190000\n1394911818\t2.940000\n1394912418\t2.810000\n1394913019\t2.690000\n1394913620\t2.560000\n1394914220\t2.810000\n1394914821\t3.310000\n1394915421\t3.690000\n1394916022\t3.380000\n1394916622\t2.310000\n1394917223\t2.000000\n1394917823\t1.750000\n1394918424\t1.620000\n1394919025\t1.560000\n1394919625\t1.690000\n1394920226\t1.690000\n1394920826\t1.560000\n1394921427\t1.500000\n1394922027\t1.440000\n1394922643\t1.380000\n1394923244\t1.380000\n1394923844\t1.380000\n1394924445\t1.190000\n1394925045\t1.120000\n1394925646\t1.000000\n1394926246\t0.880000\n1394926847\t0.690000\n1394927448\t0.620000\n1394928048\t0.500000\n1394928649\t0.310000\n1394929249\t0.250000\n1394929850\t0.060000\n1394930450\t0.060000\n1394931051\t0.060000\n1394931651\t0.000000\n1394932252\t-0.120000\n1394932852\t-0.120000\n1394933453\t-0.250000\n1394934054\t-0.380000\n1394934654\t-0.500000\n1394935255\t-0.690000\n1394935855\t-0.940000\n1394936456\t-1.120000\n1394937056\t-1.310000\n1394937657\t-1.500000\n1394938257\t-1.120000\n1394938858\t-1.120000\n1394939459\t-1.190000\n1394940059\t-1.250000\n1394940660\t-1.380000\n1394941275\t-1.500000\n1394941876\t-1.750000\n1394942476\t-1.810000\n1394943077\t-2.000000\n1394943677\t-2.120000\n1394944278\t-1.940000\n1394944879\t-2.000000\n1394945479\t-2.190000\n1394946080\t-2.060000\n1394946680\t-2.120000\n1394947281\t-2.000000\n1394947881\t-2.060000\n1394948482\t-2.060000\n1394949082\t-1.810000\n1394949683\t-1.620000\n1394950284\t-1.380000\n1394950884\t-1.310000\n1394951485\t-1.060000\n1394952085\t-1.060000\n1394952686\t-1.060000\n1394953286\t-0.750000\n1394953887\t-0.310000\n1394954487\t0.000000\n1394955088\t0.310000\n1394955689\t0.560000\n1394956289\t0.810000\n1394956890\t1.060000\n1394957490\t1.310000\n1394958106\t1.620000\n1394958706\t1.750000\n1394959307\t1.880000\n1394959907\t2.120000\n1394960508\t2.380000\n1394961108\t2.310000\n1394961709\t2.810000\n1394962310\t2.880000\n1394962910\t2.940000\n1394963511\t3.250000\n1394964111\t3.190000\n1394964712\t3.310000\n1394965312\t3.500000\n1394965913\t3.690000\n1394966513\t4.000000\n1394967114\t3.940000\n1394967714\t4.250000\n1394968315\t4.190000\n1394968916\t4.440000\n1394969516\t4.310000\n1394970117\t4.440000\n1394970717\t4.440000\n1394971318\t4.380000\n1394971918\t4.560000\n1394972519\t4.750000\n1394973120\t5.000000\n1394973720\t4.940000\n1394974321\t5.190000\n1394974921\t5.190000\n1394975522\t5.060000\n1394976122\t5.120000\n1394976738\t4.940000\n1394977338\t4.880000\n1394977939\t4.880000\n1394978540\t4.690000\n1394979140\t4.620000\n1394979741\t4.620000\n1394980341\t4.560000\n1394980942\t4.690000\n1394981542\t4.440000\n1394982143\t4.380000\n1394982743\t4.310000\n1394983344\t4.190000\n1394983945\t4.060000\n1394984545\t3.940000\n1394985146\t3.810000\n1394985746\t3.690000\n1394986347\t3.500000\n1394986947\t3.380000\n1394987548\t3.190000\n1394988148\t3.000000\n1394988749\t2.750000\n1394989350\t2.560000\n1394989950\t2.440000\n1394990551\t2.190000\n1394991151\t2.060000\n1394991752\t1.880000\n1394992352\t1.750000\n1394992953\t1.500000\n1394993553\t1.560000\n1394994154\t1.310000\n1394994755\t1.310000\n1394995355\t1.310000\n1394995971\t1.060000\n1394996571\t1.060000\n1394997172\t1.250000\n1394997772\t1.310000\n1394998373\t1.250000\n1394998973\t1.250000\n1394999574\t1.120000\n1395000175\t1.060000\n1395000775\t1.120000\n1395001376\t1.190000\n1395001976\t1.250000\n1395002577\t1.310000\n1395003177\t1.310000\n1395003778\t1.380000\n1395004378\t1.440000\n1395004979\t1.500000\n1395005580\t1.620000\n1395006180\t1.690000\n1395006781\t1.690000\n1395007381\t1.690000\n1395007982\t1.690000\n1395008582\t1.690000\n1395009183\t1.690000\n1395009783\t1.690000\n1395010384\t1.500000\n1395010985\t1.380000\n1395011585\t1.250000\n1395012186\t1.190000\n1395012786\t1.120000\n1395013387\t1.060000\n1395013987\t0.880000\n1395014588\t0.880000\n1395015188\t1.000000\n1395015789\t1.000000\n1395016404\t1.120000\n1395017005\t1.250000\n1395017605\t1.310000\n1395018206\t1.380000\n1395018807\t1.380000\n1395019407\t1.380000\n1395020008\t1.380000\n1395020608\t1.380000\n1395021209\t1.380000\n1395021809\t1.380000\n1395022410\t1.500000\n1395023010\t1.560000\n1395023611\t1.620000\n1395024212\t1.500000\n1395024812\t1.380000\n1395025413\t1.500000\n1395026013\t1.560000\n1395026614\t1.880000\n1395027214\t2.120000\n1395027815\t2.310000\n1395028415\t2.440000\n1395029016\t2.810000\n1395029616\t3.250000\n1395030217\t3.060000\n1395030818\t3.380000\n1395031418\t3.190000\n1395032019\t3.250000\n1395032619\t3.120000\n1395033220\t3.190000\n1395033820\t3.190000\n1395034421\t2.940000\n1395035021\t2.940000\n1395035622\t3.000000\n1395036222\t2.940000\n1395036823\t3.060000\n1395037438\t3.060000\n1395038039\t3.120000\n1395038640\t3.380000\n1395039240\t3.620000\n1395039841\t3.880000\n1395040441\t4.000000\n1395041042\t4.250000\n1395041642\t4.310000\n1395042243\t4.500000\n1395042843\t4.690000\n1395043444\t4.880000\n1395044044\t5.060000\n1395044645\t5.380000\n1395045245\t5.560000\n1395045846\t5.560000\n1395046446\t5.880000\n1395047047\t5.810000\n1395047648\t5.940000\n1395048248\t5.750000\n1395048849\t5.560000\n1395049449\t5.440000\n1395050050\t5.620000\n1395050650\t6.000000\n1395051251\t6.060000\n1395051851\t5.500000\n1395052452\t5.380000\n1395053053\t5.000000\n1395053653\t5.060000\n1395054254\t5.060000\n1395054854\t5.120000\n1395055455\t5.620000\n1395056070\t5.880000\n1395056671\t6.000000\n1395057272\t6.060000\n1395057872\t6.190000\n1395058473\t6.380000\n1395059073\t6.250000\n1395059674\t6.440000\n1395060274\t6.500000\n1395060875\t6.380000\n1395061475\t6.000000\n1395062076\t5.940000\n1395062676\t6.000000\n1395063277\t6.000000\n1395063877\t6.060000\n1395064478\t6.190000\n1395065079\t6.440000\n1395065679\t6.310000\n1395066280\t6.310000\n1395066880\t6.690000\n1395067481\t6.690000\n1395068081\t6.310000\n1395068682\t6.190000\n1395069282\t6.310000\n1395069883\t6.250000\n1395070484\t6.310000\n1395071084\t6.060000\n1395071700\t5.750000\n1395072300\t5.560000\n1395072901\t5.750000\n1395073501\t5.620000\n1395074102\t5.190000\n1395074702\t5.000000\n1395075303\t4.690000\n1395075903\t4.620000\n1395076504\t4.440000\n1395077105\t4.440000\n1395077705\t4.310000\n1395078306\t4.120000\n1395078906\t3.940000\n1395079507\t3.750000\n1395080107\t3.560000\n1395080708\t2.750000\n1395081308\t2.620000\n1395081909\t2.250000\n1395082510\t1.880000\n1395083110\t1.620000\n1395083711\t1.880000\n1395084311\t2.000000\n1395084912\t1.560000\n1395085512\t1.380000\n1395086113\t1.310000\n1395086713\t0.940000\n1395087314\t0.750000\n1395087914\t0.750000\n1395088515\t0.810000\n1395089116\t0.880000\n1395089716\t0.690000\n1395090317\t0.690000\n1395090917\t0.500000\n1395091518\t0.440000\n1395092133\t0.310000\n1395092734\t0.250000\n1395093334\t0.250000\n1395093935\t0.250000\n1395094535\t0.120000\n1395095136\t0.190000\n1395095736\t0.250000\n1395096337\t0.380000\n1395096937\t0.310000\n1395097538\t0.250000\n1395098138\t0.250000\n1395098739\t0.190000\n1395099340\t0.120000\n1395099940\t0.000000\n1395100541\t-0.060000\n1395101141\t-0.380000\n1395101742\t-0.310000\n1395102342\t-0.250000\n1395102943\t-0.380000\n1395103543\t-0.690000\n1395104144\t-0.620000\n1395104745\t-0.500000\n1395105345\t-0.500000\n1395105946\t-0.560000\n1395106546\t-0.810000\n1395107147\t-0.810000\n1395107747\t-1.000000\n1395108348\t-0.940000\n1395108948\t-0.940000\n1395109549\t-0.810000\n1395110164\t-0.750000\n1395110765\t-0.750000\n1395111365\t-0.810000\n1395111966\t-0.750000\n1395112566\t-0.880000\n1395113167\t-0.940000\n1395113767\t-0.940000\n1395114368\t-0.880000\n1395114968\t-0.810000\n1395115569\t-0.880000\n1395116169\t-0.810000\n1395116770\t-0.880000\n1395117370\t-1.120000\n1395117971\t-1.060000\n1395118571\t-1.060000\n1395119172\t-1.000000\n1395119772\t-0.620000\n1395120373\t-0.440000\n1395120973\t-0.250000\n1395121574\t-0.120000\n1395122174\t0.060000\n1395122775\t0.310000\n1395123376\t0.560000\n1395123976\t0.690000\n1395124577\t1.000000\n1395125177\t1.120000\n1395125778\t1.250000\n1395126378\t1.560000\n1395126979\t1.940000\n1395127594\t1.810000\n1395128195\t2.120000\n1395128796\t2.500000\n1395129396\t2.880000\n1395129997\t3.250000\n1395130597\t3.500000\n1395131198\t3.880000\n1395131798\t3.940000\n1395132399\t4.190000\n1395132999\t4.440000\n1395133600\t4.690000\n1395134200\t4.750000\n1395134801\t4.940000\n1395135402\t5.190000\n1395136002\t5.500000\n1395136603\t5.620000\n1395137203\t5.810000\n1395137804\t5.880000\n1395138404\t5.810000\n1395139005\t6.000000\n1395139605\t6.250000\n1395140206\t6.500000\n1395140806\t6.500000\n1395141407\t6.810000\n1395142008\t6.940000\n1395142608\t7.060000\n1395143209\t7.310000\n1395143809\t7.380000\n1395144410\t7.250000\n1395145010\t7.560000\n1395145611\t7.380000\n1395146226\t7.620000\n1395146827\t7.380000\n1395147427\t7.060000\n1395148028\t7.060000\n1395148629\t7.120000\n1395149229\t7.310000\n1395149830\t7.560000\n1395150430\t7.620000\n1395151031\t8.060000\n1395151631\t7.880000\n1395152232\t7.120000\n1395152832\t6.620000\n1395153433\t6.310000\n1395154033\t6.120000\n1395154634\t6.120000\n1395155234\t6.250000\n1395155835\t6.060000\n1395156436\t5.940000\n1395157036\t5.620000\n1395157637\t5.440000\n1395158237\t5.310000\n1395158838\t5.250000\n1395159438\t5.060000\n1395160039\t4.940000\n1395160639\t4.750000\n1395161240\t4.560000\n1395161856\t4.380000\n1395162456\t4.310000\n1395163057\t4.190000\n1395163657\t4.000000\n1395164258\t3.690000\n1395164858\t3.380000\n1395165459\t2.880000\n1395166059\t2.620000\n1395166660\t2.440000\n1395167260\t2.380000\n1395167861\t2.310000\n1395168462\t2.190000\n1395169062\t1.880000\n1395169663\t1.690000\n1395170263\t1.560000\n1395170864\t1.380000\n1395171464\t1.250000\n1395172065\t1.060000\n1395172665\t1.120000\n1395173266\t0.810000\n1395173866\t0.810000\n1395174467\t0.310000\n1395175068\t0.500000\n1395175668\t0.380000\n1395176284\t0.440000\n1395176884\t0.440000\n1395177485\t0.380000\n1395178085\t0.310000\n1395178686\t0.120000\n1395179287\t-0.120000\n1395179887\t-0.440000\n1395180488\t-0.690000\n1395181088\t-0.500000\n1395181689\t-0.690000\n1395182289\t-1.190000\n1395182890\t-1.000000\n1395183490\t-0.810000\n1395184091\t-0.880000\n1395184692\t-0.690000\n1395185292\t-0.880000\n1395185893\t-0.620000\n1395186493\t-0.560000\n1395187094\t-0.810000\n1395187694\t-0.880000\n1395188295\t-0.940000\n1395188895\t-0.810000\n1395189496\t-1.000000\n1395190096\t-0.940000\n1395190697\t-0.810000\n1395191298\t-0.750000\n1395191898\t-1.120000\n1395192499\t-0.880000\n1395193099\t-1.060000\n1395193700\t-1.000000\n1395194300\t-0.940000\n1395194916\t-0.810000\n1395195516\t-1.310000\n1395196117\t-1.380000\n1395196718\t-1.190000\n1395197318\t-1.000000\n1395197919\t-1.060000\n1395198519\t-1.380000\n1395199120\t-1.440000\n1395199720\t-1.380000\n1395200321\t-1.250000\n1395200921\t-1.380000\n1395201522\t-1.750000\n1395202123\t-1.560000\n1395202723\t-1.560000\n1395203324\t-1.620000\n1395203924\t-1.560000\n1395204525\t-1.620000\n1395205125\t-1.500000\n1395205726\t-1.310000\n1395206327\t-1.500000\n1395206927\t-1.250000\n1395207528\t-1.000000\n1395208128\t-0.940000\n1395208729\t-0.690000\n1395209329\t-0.690000\n1395209930\t-0.690000\n1395210530\t-0.620000\n1395211131\t-0.440000\n1395211732\t-0.250000\n1395212332\t-0.310000\n1395212933\t-0.120000\n1395213533\t-0.190000\n1395214134\t-0.120000\n1395214749\t-0.120000\n1395215350\t-0.120000\n1395215950\t0.120000\n1395216551\t0.120000\n1395217151\t0.310000\n1395217752\t0.190000\n1395218353\t0.060000\n1395218953\t-0.060000\n1395219554\t-0.310000\n1395220154\t-0.440000\n1395220755\t-0.380000\n1395221355\t-0.380000\n1395221956\t-0.440000\n1395222556\t-0.060000\n1395223157\t0.060000\n1395223757\t0.380000\n1395224358\t0.620000\n1395224959\t0.880000\n1395225559\t0.940000\n1395226160\t1.310000\n1395226760\t1.440000\n1395227361\t1.560000\n1395227961\t1.750000\n1395228562\t1.810000\n1395229162\t1.690000\n1395229763\t1.880000\n1395230364\t1.810000\n1395230964\t1.880000\n1395231565\t2.000000\n1395232165\t2.190000\n1395232781\t2.250000\n1395233381\t2.250000\n1395233982\t2.310000\n1395234582\t2.500000\n1395235183\t2.560000\n1395235783\t2.500000\n1395236384\t2.500000\n1395236985\t2.500000\n1395237585\t2.380000\n1395238186\t2.380000\n1395238786\t2.310000\n1395239387\t2.250000\n1395239987\t2.190000\n1395240588\t2.060000\n1395241188\t2.190000\n1395241789\t2.120000\n1395242390\t2.190000\n1395242990\t2.190000\n1395243591\t2.250000\n1395244191\t2.190000\n1395244792\t2.060000\n1395245392\t1.940000\n1395245993\t1.620000\n1395246593\t1.560000\n1395247194\t1.500000\n1395247795\t1.380000\n1395248395\t1.310000\n1395249011\t1.250000\n1395249611\t1.120000\n1395250212\t1.000000\n1395250812\t1.000000\n1395251413\t0.940000\n1395252013\t0.690000\n1395252614\t0.500000\n1395253215\t0.500000\n1395253815\t0.310000\n1395254416\t0.310000\n1395255016\t0.250000\n1395255617\t0.250000\n1395256217\t0.250000\n1395256818\t0.190000\n1395257418\t0.120000\n1395258019\t0.120000\n1395258620\t0.120000\n1395259220\t0.060000\n1395259821\t0.060000\n1395260421\t0.000000\n1395261022\t0.000000\n1395261622\t0.000000\n1395262223\t0.000000\n1395262823\t0.000000\n1395263424\t0.000000\n1395264024\t0.060000\n1395264625\t0.000000\n1395265225\t0.000000\n1395265826\t0.000000\n1395266426\t-0.060000\n1395267027\t0.060000\n1395267628\t0.060000\n1395268243\t0.120000\n1395268844\t0.190000\n1395269444\t0.190000\n1395270045\t0.190000\n1395270645\t0.190000\n1395271246\t0.250000\n1395271846\t0.250000\n1395272447\t0.190000\n1395273048\t0.310000\n1395273648\t0.310000\n1395274249\t0.310000\n1395274849\t0.190000\n1395275450\t0.250000\n1395276050\t0.190000\n1395276651\t0.120000\n1395277251\t0.190000\n1395277852\t0.310000\n1395278452\t0.250000\n1395279053\t0.190000\n1395279653\t0.250000\n1395280254\t0.310000\n1395280854\t0.310000\n1395281455\t0.310000\n1395282056\t0.250000\n1395282656\t0.250000\n1395283257\t0.310000\n1395283857\t0.250000\n1395284458\t0.250000\n1395285058\t0.250000\n1395285659\t0.250000\n1395286259\t0.250000\n1395286860\t0.250000\n1395287476\t0.250000\n1395288076\t0.250000\n1395288677\t0.250000\n1395289277\t0.250000\n1395289878\t0.250000\n1395290478\t0.310000\n1395291079\t0.380000\n1395291679\t0.380000\n1395292280\t0.440000\n1395292880\t0.500000\n1395293481\t0.560000\n1395294082\t0.690000\n1395294682\t0.690000\n1395295283\t0.810000\n1395295883\t0.880000\n1395296484\t0.940000\n1395297084\t1.000000\n1395297685\t1.190000\n1395298285\t1.250000\n1395298886\t1.310000\n1395299486\t1.440000\n1395300087\t1.560000\n1395300687\t1.620000\n1395301288\t1.690000\n1395301889\t1.750000\n1395302489\t1.880000\n1395303090\t1.940000\n1395303690\t2.000000\n1395304291\t2.190000\n1395304891\t2.310000\n1395305492\t2.310000\n1395306107\t2.500000\n1395306708\t2.690000\n1395307309\t2.810000\n1395307909\t3.000000\n1395308510\t3.190000\n1395309110\t3.250000\n1395309711\t3.500000\n1395310311\t3.810000\n1395310912\t4.310000\n1395311512\t4.440000\n1395312113\t4.440000\n1395312713\t4.690000\n1395313314\t4.500000\n1395313914\t4.500000\n1395314515\t4.750000\n1395315116\t5.120000\n1395315716\t5.690000\n1395316317\t6.000000\n1395316917\t6.250000\n1395317518\t6.560000\n1395318118\t6.810000\n1395318719\t7.120000\n1395319319\t7.560000\n1395319920\t7.880000\n1395320520\t8.000000\n1395321121\t8.190000\n1395321721\t8.380000\n1395322322\t8.440000\n1395322922\t8.500000\n1395323523\t8.500000\n1395324139\t8.620000\n1395324739\t8.750000\n1395325340\t8.750000\n1395325940\t8.810000\n1395326541\t8.690000\n1395327141\t8.620000\n1395327742\t8.620000\n1395328343\t8.560000\n1395328943\t8.440000\n1395329544\t8.380000\n1395330144\t8.380000\n1395330745\t8.190000\n1395331345\t8.120000\n1395331946\t7.940000\n1395332546\t7.810000\n1395333147\t7.880000\n1395333748\t7.880000\n1395334348\t7.880000\n1395334949\t7.810000\n1395335549\t7.880000\n1395336150\t7.940000\n1395336750\t7.750000\n1395337351\t7.810000\n1395337951\t8.000000\n1395338552\t8.000000\n1395339153\t8.190000\n1395339753\t8.310000\n1395340354\t8.380000\n1395340954\t8.310000\n1395341555\t8.380000\n1395342155\t8.620000\n1395342756\t8.810000\n1395343371\t9.000000\n1395343972\t9.000000\n1395344573\t9.120000\n1395345173\t9.250000\n1395345774\t9.250000\n1395346374\t9.250000\n1395346975\t9.120000\n1395347575\t8.940000\n1395348176\t9.000000\n1395348776\t8.810000\n1395349377\t8.880000\n1395349977\t8.750000\n1395350578\t8.810000\n1395351178\t8.810000\n1395351779\t8.810000\n1395352379\t8.810000\n1395352980\t8.750000\n1395353581\t8.810000\n1395354181\t8.940000\n1395354782\t8.880000\n1395355382\t8.940000\n1395355983\t9.060000\n1395356583\t9.310000\n1395357184\t9.500000\n1395357784\t9.750000\n1395358385\t9.810000\n1395358985\t9.880000\n1395359586\t10.000000\n1395360187\t10.060000\n1395360787\t10.190000\n1395361403\t10.250000\n1395362003\t10.120000\n1395362604\t10.120000\n1395363204\t10.120000\n1395363805\t10.000000\n1395364406\t9.880000\n1395365006\t9.750000\n1395365607\t9.690000\n1395366207\t9.620000\n1395366808\t9.440000\n1395367408\t9.500000\n1395368009\t9.500000\n1395368609\t9.380000\n1395369210\t9.310000\n1395369811\t9.250000\n1395370411\t9.060000\n1395371012\t8.810000\n1395371612\t8.750000\n1395372213\t9.060000\n1395372813\t9.000000\n1395373414\t9.000000\n1395374015\t8.810000\n1395374615\t8.940000\n1395375216\t8.810000\n1395375816\t8.620000\n1395376417\t8.690000\n1395377017\t8.750000\n1395377618\t8.690000\n1395378218\t8.620000\n1395378819\t8.690000\n1395379420\t8.560000\n1395380020\t8.620000\n1395380621\t8.560000\n1395381236\t8.440000\n1395381837\t8.250000\n1395382437\t8.190000\n1395383038\t8.120000\n1395383638\t8.060000\n1395384239\t8.060000\n1395384840\t7.940000\n1395385440\t8.060000\n1395386041\t8.000000\n1395386641\t8.120000\n1395387242\t8.000000\n1395387842\t8.120000\n1395388443\t7.940000\n1395389043\t8.000000\n1395389644\t8.060000\n1395390245\t8.060000\n1395390845\t8.310000\n1395391446\t8.620000\n1395392046\t8.690000\n1395392647\t8.810000\n1395393247\t8.940000\n1395393848\t8.940000\n1395394448\t8.750000\n1395395049\t8.380000\n1395395649\t8.120000\n1395396250\t8.120000\n1395396865\t8.500000\n1395397466\t8.500000\n1395398067\t8.690000\n1395398667\t9.060000\n1395399268\t8.880000\n1395399868\t9.310000\n1395400469\t8.940000\n1395401069\t8.750000\n1395401670\t8.750000\n1395402270\t9.000000\n1395402871\t9.120000\n1395403472\t9.620000\n1395404072\t9.750000\n1395404673\t9.810000\n1395405273\t9.810000\n1395405874\t9.380000\n1395406474\t9.250000\n1395407075\t9.380000\n1395407675\t9.310000\n1395408276\t9.380000\n1395408876\t9.310000\n1395409477\t9.500000\n1395410077\t9.440000\n1395410678\t9.440000\n1395411278\t9.380000\n1395411879\t9.310000\n1395412480\t9.060000\n1395413080\t9.190000\n1395413681\t8.810000\n1395414281\t8.810000\n1395414897\t8.750000\n1395415497\t8.620000\n1395416098\t8.810000\n1395416699\t8.250000\n1395417299\t8.060000\n1395417900\t7.810000\n1395418500\t7.620000\n1395419101\t7.500000\n1395419701\t7.250000\n1395420302\t7.060000\n1395420902\t6.880000\n1395421503\t6.690000\n1395422103\t6.620000\n1395422704\t6.620000\n1395423305\t6.500000\n1395423905\t6.440000\n1395424506\t6.380000\n1395425106\t6.250000\n1395425707\t6.060000\n1395426307\t6.000000\n1395426908\t5.940000\n1395427508\t5.810000\n1395428109\t5.810000\n1395428710\t5.750000\n1395429310\t5.560000\n1395429911\t5.620000\n1395430511\t5.560000\n1395431112\t5.560000\n1395431712\t5.500000\n1395432313\t5.440000\n1395432913\t5.380000\n1395433529\t5.250000\n1395434130\t5.190000\n1395434730\t5.190000\n1395435331\t5.120000\n1395435931\t5.120000\n1395436532\t5.000000\n1395437132\t4.880000\n1395437733\t4.750000\n1395438333\t4.750000\n1395438934\t4.620000\n1395439534\t4.560000\n1395440135\t4.500000\n1395440736\t4.440000\n1395441336\t4.380000\n1395441937\t4.380000\n1395442537\t4.560000\n1395443138\t4.750000\n1395443738\t4.690000\n1395444339\t4.750000\n1395444939\t4.750000\n1395445540\t4.690000\n1395446141\t4.500000\n1395446741\t4.310000\n1395447342\t4.250000\n1395447942\t4.120000\n1395448543\t4.190000\n1395449143\t4.190000\n1395449744\t4.190000\n1395450345\t4.120000\n1395450945\t4.060000\n1395451546\t4.000000\n1395452146\t3.880000\n1395452747\t3.810000\n1395453347\t3.880000\n1395453948\t4.060000\n1395454563\t4.060000\n1395455164\t4.190000\n1395455765\t4.250000\n1395456365\t4.380000\n1395456966\t4.380000\n1395457566\t4.310000\n1395458167\t4.310000\n1395458767\t4.310000\n1395459368\t4.190000\n1395459968\t4.060000\n1395460569\t3.940000\n1395461170\t3.810000\n1395461770\t3.810000\n1395462371\t4.000000\n1395462971\t4.120000\n1395463572\t4.190000\n1395464172\t4.250000\n1395464773\t4.250000\n1395465374\t4.380000\n1395465974\t4.380000\n1395466575\t4.380000\n1395467175\t4.500000\n1395467776\t4.560000\n1395468376\t4.690000\n1395468977\t4.690000\n1395469577\t4.810000\n1395470178\t5.000000\n1395470778\t5.250000\n1395471379\t5.380000\n1395471979\t5.500000\n1395472580\t5.690000\n1395473181\t5.620000\n1395473781\t5.690000\n1395474382\t5.750000\n1395474982\t5.940000\n1395475598\t6.190000\n1395476198\t6.500000\n1395476799\t6.690000\n1395477399\t6.940000\n1395478000\t7.380000\n1395478601\t7.750000\n1395479201\t8.190000\n1395479802\t8.190000\n1395480402\t8.310000\n1395481003\t8.560000\n1395481603\t8.120000\n1395482204\t8.380000\n1395482804\t8.880000\n1395483405\t8.380000\n1395484005\t8.560000\n1395484606\t8.620000\n1395485206\t8.810000\n1395485807\t8.440000\n1395486407\t8.380000\n1395487008\t8.690000\n1395487609\t8.620000\n1395488209\t8.620000\n1395488810\t9.190000\n1395489410\t9.750000\n1395490011\t9.560000\n1395490611\t10.060000\n1395491212\t10.060000\n1395491812\t10.440000\n1395492428\t9.880000\n1395493029\t10.560000\n1395493629\t9.880000\n1395494230\t9.750000\n1395494830\t10.250000\n1395495431\t10.620000\n1395496031\t10.750000\n1395496632\t10.500000\n1395497232\t10.250000\n1395497833\t10.250000\n1395498434\t10.440000\n1395499034\t10.310000\n1395499635\t10.380000\n1395500235\t10.440000\n1395500836\t10.380000\n1395501436\t10.190000\n1395502037\t10.120000\n1395502637\t10.250000\n1395503238\t10.000000\n1395503839\t10.000000\n1395504439\t9.810000\n1395505040\t9.560000\n1395505640\t9.250000\n1395506241\t9.000000\n1395506841\t8.560000\n1395507442\t8.120000\n1395508042\t7.690000\n1395508643\t7.250000\n1395509244\t6.940000\n1395509844\t6.750000\n1395510460\t6.560000\n1395511060\t6.380000\n1395511661\t6.250000\n1395512261\t6.060000\n1395512862\t5.810000\n1395513462\t5.560000\n1395514063\t5.440000\n1395514664\t5.310000\n1395515264\t5.250000\n1395515865\t5.120000\n1395516465\t5.000000\n1395517066\t4.880000\n1395517666\t4.690000\n1395518267\t4.500000\n1395518867\t4.440000\n1395519468\t4.380000\n1395520069\t4.310000\n1395520669\t4.190000\n1395521270\t4.120000\n1395521870\t3.940000\n1395522471\t3.880000\n1395523071\t3.880000\n1395523672\t3.940000\n1395524272\t4.060000\n1395524873\t4.250000\n1395525473\t4.310000\n1395526074\t4.440000\n1395526675\t4.500000\n1395527275\t4.500000\n1395527876\t4.560000\n1395528476\t4.500000\n1395529077\t4.560000\n1395529692\t4.500000\n1395530293\t4.500000\n1395530893\t4.560000\n1395531494\t4.560000\n1395532095\t4.560000\n1395532695\t4.500000\n1395533296\t4.310000\n1395533896\t4.190000\n1395534497\t4.120000\n1395535097\t4.060000\n1395535698\t4.060000\n1395536298\t4.060000\n1395536899\t4.060000\n1395537500\t4.060000\n1395538100\t4.000000\n1395538701\t3.940000\n1395539301\t3.940000\n1395539902\t3.940000\n1395540502\t3.880000\n1395541103\t3.880000\n1395541703\t3.880000\n1395542304\t3.880000\n1395542905\t3.810000\n1395543505\t3.810000\n1395544106\t3.880000\n1395544706\t3.810000\n1395545307\t3.810000\n1395545907\t3.810000\n1395546508\t3.750000\n1395547108\t3.690000\n1395547709\t3.620000\n1395548309\t3.500000\n1395548910\t3.440000\n1395549525\t3.380000\n1395550126\t3.310000\n1395550727\t3.250000\n1395551327\t3.190000\n1395551928\t3.120000\n1395552528\t3.000000\n1395553129\t2.940000\n1395553729\t3.000000\n1395554330\t3.060000\n1395554930\t3.190000\n1395555531\t3.380000\n1395556132\t3.500000\n1395556732\t3.690000\n1395557333\t3.880000\n1395557933\t4.310000\n1395558534\t4.940000\n1395559134\t5.190000\n1395559735\t5.120000\n1395560335\t5.310000\n1395560936\t5.690000\n1395561536\t6.060000\n1395562137\t6.120000\n1395562738\t5.810000\n1395563338\t5.560000\n1395563939\t5.750000\n1395564539\t7.000000\n1395565140\t6.060000\n1395565740\t5.880000\n1395566356\t6.000000\n1395566956\t6.690000\n1395567557\t5.880000\n1395568157\t6.690000\n1395568758\t6.440000\n1395569359\t5.560000\n1395569959\t5.560000\n1395570560\t5.940000\n1395571160\t6.560000\n1395571761\t7.060000\n1395572361\t6.940000\n1395572962\t7.060000\n1395573562\t6.810000\n1395574163\t6.690000\n1395574764\t7.380000\n1395575364\t7.880000\n1395575965\t8.560000\n1395576565\t8.880000\n1395577166\t8.880000\n1395577766\t8.440000\n1395578367\t9.000000\n1395578967\t8.810000\n1395579568\t9.060000\n1395580169\t8.750000\n1395580769\t8.250000\n1395581370\t7.810000\n1395581970\t8.620000\n1395582571\t8.940000\n1395583171\t8.940000\n1395583772\t8.620000\n1395584373\t8.060000\n1395584988\t8.810000\n1395585589\t8.250000\n1395586189\t8.810000\n1395586790\t8.880000\n1395587390\t8.500000\n1395587991\t8.560000\n1395588591\t8.440000\n1395589192\t8.000000\n1395589793\t8.120000\n1395590393\t8.620000\n1395590994\t8.810000\n1395591594\t8.690000\n1395592195\t8.440000\n1395592795\t8.060000\n1395593396\t7.940000\n1395593996\t7.560000\n1395594597\t6.880000\n1395595198\t6.500000\n1395595798\t6.380000\n1395596399\t6.190000\n1395596999\t5.940000\n1395597600\t5.690000\n1395598200\t5.620000\n1395598801\t5.380000\n1395599401\t5.190000\n1395600002\t5.000000\n1395600602\t4.880000\n1395601203\t4.750000\n1395601804\t4.620000\n1395602404\t4.250000\n1395603005\t4.060000\n1395603605\t3.560000\n1395604206\t3.750000\n1395604821\t3.810000\n1395605422\t3.750000\n1395606022\t3.620000\n1395606623\t3.560000\n1395607224\t3.440000\n1395607824\t3.380000\n1395608425\t3.310000\n1395609025\t3.250000\n1395609626\t3.190000\n1395610226\t3.120000\n1395610827\t3.060000\n1395611428\t3.000000\n1395612028\t2.940000\n1395612629\t2.880000\n1395613229\t2.810000\n1395613830\t2.690000\n1395614430\t2.560000\n1395615031\t2.560000\n1395615631\t2.560000\n1395616232\t2.440000\n1395616832\t2.250000\n1395617433\t2.310000\n1395618034\t2.310000\n1395618634\t2.120000\n1395619235\t2.190000\n1395619835\t1.940000\n1395620436\t1.810000\n1395621036\t1.940000\n1395621637\t2.000000\n1395622237\t1.750000\n1395622838\t1.560000\n1395623453\t1.620000\n1395624054\t1.560000\n1395624655\t1.250000\n1395625255\t1.440000\n1395625856\t1.620000\n1395626456\t1.560000\n1395627057\t1.560000\n1395627657\t1.560000\n1395628258\t1.500000\n1395628858\t1.500000\n1395629459\t1.250000\n1395630060\t1.310000\n1395630660\t1.000000\n1395631261\t0.880000\n1395631861\t0.690000\n1395632462\t1.060000\n1395633062\t1.190000\n1395633663\t1.060000\n1395634263\t1.120000\n1395634864\t1.310000\n1395635464\t1.500000\n1395636065\t1.560000\n1395636666\t1.750000\n1395637266\t1.880000\n1395637867\t1.880000\n1395638467\t1.940000\n1395639068\t2.000000\n1395639668\t2.120000\n1395640269\t2.190000\n1395640870\t2.500000\n1395641470\t2.620000\n1395642071\t2.880000\n1395642671\t3.000000\n1395643287\t3.190000\n1395643887\t3.500000\n1395644488\t3.620000\n1395645088\t3.880000\n1395645689\t3.940000\n1395646290\t4.190000\n1395646890\t4.440000\n1395647491\t4.690000\n1395648091\t4.940000\n1395648692\t5.120000\n1395649292\t5.310000\n1395649893\t5.500000\n1395650493\t5.750000\n1395651094\t5.940000\n1395651695\t5.880000\n1395652295\t5.880000\n1395652896\t6.000000\n1395653496\t6.120000\n1395654097\t6.120000\n1395654697\t6.380000\n1395655298\t6.810000\n1395655898\t6.750000\n1395656499\t7.190000\n1395657100\t7.380000\n1395657700\t7.500000\n1395658301\t7.250000\n1395658901\t7.060000\n1395659502\t7.310000\n1395660117\t7.380000\n1395660718\t7.940000\n1395661318\t8.310000\n1395661919\t8.310000\n1395662519\t8.000000\n1395663120\t7.940000\n1395663720\t7.940000\n1395664321\t7.940000\n1395664922\t8.000000\n1395665522\t8.310000\n1395666123\t8.440000\n1395666723\t8.190000\n1395667324\t8.120000\n1395667924\t8.250000\n1395668525\t8.310000\n1395669126\t8.310000\n1395669726\t9.000000\n1395670327\t9.500000\n1395670927\t8.810000\n1395671528\t8.250000\n1395672128\t8.940000\n1395672729\t9.500000\n1395673329\t8.880000\n1395673930\t8.250000\n1395674531\t8.250000\n1395675131\t8.000000\n1395675732\t8.440000\n1395676332\t8.690000\n1395676933\t8.440000\n1395677533\t8.560000\n1395678134\t8.500000\n1395678734\t8.380000\n1395679350\t8.250000\n1395679951\t7.880000\n1395680551\t7.250000\n1395681152\t6.620000\n1395681752\t6.310000\n1395682353\t6.000000\n1395682953\t5.620000\n1395683554\t5.380000\n1395684154\t5.060000\n1395684755\t4.440000\n1395685356\t4.310000\n1395685956\t3.880000\n1395686557\t3.750000\n1395687157\t3.500000\n1395687758\t3.120000\n1395688358\t2.940000\n1395688959\t2.500000\n1395689559\t2.310000\n1395690160\t2.380000\n1395690760\t2.310000\n1395691361\t2.380000\n1395691962\t2.250000\n1395692562\t2.060000\n1395693163\t2.060000\n1395693763\t2.120000\n1395694364\t2.060000\n1395694964\t1.940000\n1395695565\t2.000000\n1395696166\t2.060000\n1395696766\t1.880000\n1395697367\t1.810000\n1395697967\t1.880000\n1395698568\t1.810000\n1395699183\t1.810000\n1395699784\t1.750000\n1395700384\t1.810000\n1395700985\t1.750000\n1395701585\t1.620000\n1395702186\t1.440000\n1395702787\t1.560000\n1395703387\t1.500000\n1395703988\t1.440000\n1395704588\t1.380000\n1395705189\t1.250000\n1395705789\t1.120000\n1395706390\t1.120000\n1395706990\t1.000000\n1395707591\t0.810000\n1395708192\t0.750000\n1395708792\t0.620000\n1395709393\t0.620000\n1395709993\t0.560000\n1395710594\t0.560000\n1395711194\t0.560000\n1395711795\t0.560000\n1395712395\t0.440000\n1395712996\t0.500000\n1395713596\t0.310000\n1395714197\t0.310000\n1395714798\t0.310000\n1395715398\t0.190000\n1395715999\t0.380000\n1395716614\t0.250000\n1395717215\t0.190000\n1395717815\t0.060000\n1395718416\t0.120000\n1395719016\t0.120000\n1395719617\t0.250000\n1395720217\t0.000000\n1395720818\t-0.120000\n1395721418\t-0.120000\n1395722019\t0.000000\n1395722620\t0.060000\n1395723220\t0.000000\n1395723821\t0.000000\n1395724421\t0.000000\n1395725022\t0.000000\n1395725622\t0.060000\n1395726223\t0.060000\n1395726823\t0.190000\n1395727424\t0.440000\n1395728024\t0.620000\n1395728625\t0.940000\n1395729226\t1.250000\n1395729826\t1.380000\n1395730427\t1.560000\n1395731042\t1.810000\n1395731643\t2.120000\n1395732243\t2.440000\n1395732844\t2.940000\n1395733444\t3.310000\n1395734045\t3.750000\n1395734645\t3.940000\n1395735246\t4.380000\n1395735847\t4.690000\n1395736447\t4.810000\n1395737048\t5.190000\n1395737648\t5.500000\n1395738249\t5.810000\n1395738849\t6.000000\n1395739450\t6.060000\n1395740050\t6.380000\n1395740651\t6.750000\n1395741251\t6.690000\n1395741852\t6.690000\n1395742453\t6.880000\n1395743053\t7.190000\n1395743654\t7.250000\n1395744254\t7.560000\n1395744855\t7.560000\n1395745455\t7.880000\n1395746071\t7.940000\n1395746671\t8.060000\n1395747272\t8.120000\n1395747872\t8.310000\n1395748473\t8.440000\n1395749074\t8.620000\n1395749674\t8.000000\n1395750275\t7.750000\n1395750875\t7.560000\n1395751476\t7.620000\n1395752076\t7.940000\n1395752677\t7.810000\n1395753277\t8.060000\n1395753878\t8.060000\n1395754479\t8.060000\n1395755079\t8.060000\n1395755680\t7.690000\n1395756280\t7.690000\n1395756881\t7.690000\n1395757481\t7.500000\n1395758082\t7.690000\n1395758682\t7.810000\n1395759283\t8.250000\n1395759884\t8.380000\n1395760484\t8.500000\n1395761085\t8.310000\n1395761685\t7.810000\n1395762286\t7.440000\n1395762886\t7.190000\n1395763487\t6.940000\n1395764088\t6.750000\n1395764703\t6.620000\n1395765304\t6.310000\n1395765904\t6.060000\n1395766505\t5.880000\n1395767105\t5.620000\n1395767706\t5.440000\n1395768306\t5.310000\n1395768907\t5.250000\n1395769508\t5.120000\n1395770108\t5.000000\n1395770709\t4.880000\n1395771309\t4.810000\n1395771910\t4.750000\n1395772510\t4.620000\n1395773111\t4.560000\n1395773711\t4.500000\n1395774312\t4.440000\n1395774912\t4.310000\n1395775513\t4.250000\n1395776114\t4.120000\n1395776714\t4.120000\n1395777315\t4.000000\n1395777915\t4.000000\n1395778516\t4.000000\n1395779116\t3.940000\n1395779717\t3.940000\n1395780317\t3.940000\n1395780918\t3.880000\n1395781519\t3.810000\n1395782119\t3.880000\n1395782720\t3.940000\n1395783320\t4.000000\n1395783921\t4.190000\n1395784536\t4.190000\n1395785137\t4.190000\n1395785737\t4.060000\n1395786338\t3.940000\n1395786938\t3.880000\n1395787539\t3.880000\n1395788139\t4.000000\n1395788740\t4.000000\n1395789341\t4.060000\n1395789941\t4.310000\n1395790542\t4.440000\n1395791142\t4.380000\n1395791743\t4.250000\n1395792343\t4.120000\n1395792944\t3.940000\n1395793544\t3.810000\n1395794145\t3.620000\n1395794746\t3.560000\n1395795346\t3.440000\n1395795947\t3.380000\n1395796547\t3.380000\n1395797148\t3.380000\n1395797748\t3.380000\n1395798349\t3.440000\n1395798949\t3.500000\n1395799550\t3.500000\n1395800150\t3.500000\n1395800751\t3.440000\n1395801351\t3.440000\n1395801952\t3.380000\n1395802552\t3.440000\n1395803168\t3.500000\n1395803768\t3.500000\n1395804369\t3.440000\n1395804969\t3.500000\n1395805570\t3.500000\n1395806171\t3.560000\n1395806771\t3.560000\n1395807372\t3.500000\n1395807972\t3.440000\n1395808573\t3.310000\n1395809173\t3.000000\n1395809774\t2.750000\n1395810374\t2.500000\n1395810975\t2.120000\n1395811575\t1.940000\n1395812176\t1.690000\n1395812776\t1.750000\n1395813377\t1.880000\n1395813978\t1.880000\n1395814578\t2.000000\n1395815179\t2.000000\n1395815779\t1.880000\n1395816380\t1.620000\n1395816980\t1.500000\n1395817581\t1.500000\n1395818181\t1.440000\n1395818782\t1.440000\n1395819383\t1.440000\n1395819983\t1.380000\n1395820584\t1.440000\n1395821184\t1.560000\n1395821785\t1.620000\n1395822400\t1.620000\n1395823001\t1.690000\n1395823601\t1.560000\n1395824202\t1.620000\n1395824803\t1.620000\n1395825403\t1.620000\n1395826004\t1.620000\n1395826604\t1.620000\n1395827205\t1.620000\n1395827805\t1.690000\n1395828406\t1.750000\n1395829006\t1.880000\n1395829607\t2.000000\n1395830208\t1.880000\n1395830808\t2.060000\n1395831409\t2.250000\n1395832009\t2.380000\n1395832610\t2.500000\n1395833210\t2.690000\n1395833811\t2.940000\n1395834411\t3.250000\n1395835012\t3.310000\n1395835612\t3.380000\n1395836213\t3.440000\n1395836814\t3.500000\n1395837414\t3.440000\n1395838030\t3.500000\n1395838630\t3.500000\n1395839231\t3.620000\n1395839831\t3.750000\n1395840432\t3.880000\n1395841032\t4.060000\n1395841633\t4.310000\n1395842234\t4.440000\n1395842834\t4.500000\n1395843435\t4.620000\n1395844035\t4.750000\n1395844636\t4.620000\n1395845236\t4.620000\n1395845837\t4.620000\n1395846437\t4.500000\n1395847038\t4.440000\n1395847639\t4.310000\n1395848239\t4.310000\n1395848840\t4.250000\n1395849440\t4.190000\n1395850041\t4.120000\n1395850641\t4.120000\n1395851242\t4.120000\n1395851842\t4.120000\n1395852443\t4.120000\n1395853043\t4.060000\n1395853644\t4.000000\n1395854260\t3.940000\n1395854860\t3.880000\n1395855461\t3.880000\n1395856061\t3.750000\n1395856662\t3.810000\n1395857262\t3.750000\n1395857863\t3.690000\n1395858463\t3.690000\n1395859064\t3.690000\n1395859665\t3.690000\n1395860265\t3.690000\n1395860866\t3.690000\n1395861466\t3.620000\n1395862067\t3.620000\n1395862667\t3.690000\n1395863268\t3.560000\n1395863869\t3.560000\n1395864469\t3.560000\n1395865070\t3.560000\n1395865670\t3.500000\n1395866271\t3.440000\n1395866871\t3.380000\n1395867472\t3.380000\n1395868072\t3.310000\n1395868673\t3.310000\n1395869273\t3.250000\n1395869874\t3.250000\n1395870474\t3.250000\n1395871075\t3.250000\n1395871676\t3.250000\n1395872276\t3.190000\n1395872877\t3.120000\n1395873477\t3.060000\n1395874093\t3.060000\n1395874693\t3.000000\n1395875294\t2.940000\n1395875894\t2.880000\n1395876495\t2.810000\n1395877095\t2.750000\n1395877696\t2.690000\n1395878297\t2.620000\n1395878897\t2.500000\n1395879498\t2.310000\n1395880098\t2.120000\n1395880699\t2.120000\n1395881299\t2.120000\n1395881900\t2.060000\n1395882500\t2.000000\n1395883101\t1.940000\n1395883701\t1.940000\n1395884302\t1.750000\n1395884902\t1.690000\n1395885503\t1.500000\n1395886104\t1.560000\n1395886704\t1.690000\n1395887305\t1.750000\n1395887905\t1.750000\n1395888506\t1.750000\n1395889106\t1.810000\n1395889722\t1.750000\n1395890322\t1.750000\n1395890923\t1.810000\n1395891523\t1.750000\n1395892124\t1.810000\n1395892724\t1.750000\n1395893325\t1.750000\n1395893925\t1.750000\n1395894526\t1.750000\n1395895127\t1.750000\n1395895727\t1.750000\n1395896328\t1.750000\n1395896928\t1.750000\n1395897529\t1.810000\n1395898129\t1.810000\n1395898730\t1.880000\n1395899331\t1.940000\n1395899931\t2.000000\n1395900532\t2.060000\n1395901132\t2.060000\n1395901733\t2.250000\n1395902333\t2.250000\n1395902934\t2.310000\n1395903534\t2.440000\n1395904135\t2.810000\n1395904736\t2.880000\n1395905336\t3.190000\n1395905937\t3.380000\n1395906537\t3.620000\n1395907138\t4.000000\n1395907738\t4.310000\n1395908339\t4.250000\n1395908939\t4.500000\n1395909540\t4.750000\n1395910140\t4.060000\n1395910756\t3.940000\n1395911357\t4.620000\n1395911957\t5.310000\n1395912558\t5.500000\n1395913158\t5.750000\n1395913759\t6.000000\n1395914359\t6.120000\n1395914960\t6.380000\n1395915560\t6.690000\n1395916161\t6.880000\n1395916762\t7.120000\n1395917362\t7.310000\n1395917963\t7.560000\n1395918563\t7.620000\n1395919164\t7.620000\n1395919764\t8.060000\n1395920365\t8.120000\n1395920965\t8.380000\n1395921566\t8.440000\n1395922166\t8.440000\n1395922767\t8.620000\n1395923368\t8.940000\n1395923968\t9.190000\n1395924569\t9.000000\n1395925169\t9.250000\n1395925770\t9.310000\n1395926370\t9.380000\n1395926971\t9.380000\n1395927572\t9.690000\n1395928172\t9.810000\n1395928773\t9.940000\n1395929373\t9.880000\n1395929989\t10.000000\n1395930589\t10.190000\n1395931190\t10.310000\n1395931790\t10.190000\n1395932391\t10.190000\n1395932992\t10.060000\n1395933592\t10.060000\n1395934193\t10.060000\n1395934793\t10.000000\n1395935394\t9.940000\n1395935994\t9.810000\n1395936595\t9.620000\n1395937195\t9.440000\n1395937796\t9.120000\n1395938397\t8.880000\n1395938997\t8.500000\n1395939598\t8.060000\n1395940198\t7.560000\n1395940799\t7.060000\n1395941399\t6.750000\n1395942000\t6.500000\n1395942600\t6.310000\n1395943201\t6.060000\n1395943801\t6.000000\n1395944402\t5.880000\n1395945002\t5.810000\n1395945603\t5.940000\n1395946204\t5.750000\n1395946804\t5.560000\n1395947405\t5.380000\n1395948005\t5.380000\n1395948606\t5.500000\n1395949206\t5.560000\n1395949822\t5.500000\n1395950422\t5.380000\n1395951023\t5.250000\n1395951624\t5.120000\n1395952224\t4.940000\n1395952825\t4.690000\n1395953425\t4.620000\n1395954026\t4.560000\n1395954626\t4.500000\n1395955227\t4.440000\n1395955827\t4.310000\n1395956428\t4.120000\n1395957028\t3.940000\n1395957629\t3.880000\n1395958230\t3.810000\n1395958830\t3.750000\n1395959431\t3.690000\n1395960031\t3.620000\n1395960632\t3.500000\n1395961232\t3.380000\n1395961833\t3.190000\n1395962433\t3.060000\n1395963034\t3.060000\n1395963634\t2.940000\n1395964235\t2.810000\n1395964836\t2.690000\n1395965436\t2.500000\n1395966037\t2.440000\n1395966637\t2.380000\n1395967253\t2.250000\n1395967853\t2.190000\n1395968454\t2.120000\n1395969054\t2.000000\n1395969655\t2.000000\n1395970255\t1.940000\n1395970856\t1.880000\n1395971457\t1.690000\n1395972057\t1.620000\n1395972658\t1.620000\n1395973258\t1.560000\n1395973859\t1.500000\n1395974459\t1.500000\n1395975060\t1.190000\n1395975660\t1.120000\n1395976261\t1.060000\n1395976862\t0.880000\n1395977462\t0.750000\n1395978063\t0.690000\n1395978663\t0.560000\n1395979264\t0.560000\n1395979864\t0.440000\n1395980465\t0.440000\n1395981065\t0.440000\n1395981666\t0.440000\n1395982266\t0.250000\n1395982867\t0.310000\n1395983468\t0.380000\n1395984083\t0.440000\n1395984684\t0.500000\n1395985284\t0.620000\n1395985885\t0.810000\n1395986485\t1.060000\n1395987086\t1.250000\n1395987686\t1.380000\n1395988287\t1.560000\n1395988888\t1.620000\n1395989488\t1.810000\n1395990089\t2.120000\n1395990689\t2.380000\n1395991290\t2.620000\n1395991890\t2.880000\n1395992491\t3.190000\n1395993091\t3.500000\n1395993692\t3.810000\n1395994292\t4.120000\n1395994893\t4.500000\n1395995494\t4.690000\n1395996094\t5.060000\n1395996695\t5.380000\n1395997295\t5.690000\n1395997896\t6.000000\n1395998496\t6.440000\n1395999097\t6.690000\n1395999697\t7.000000\n1396000298\t7.310000\n1396000898\t7.500000\n1396001499\t7.620000\n1396002115\t7.880000\n1396002715\t8.120000\n1396003316\t8.380000\n1396003916\t8.620000\n1396004517\t8.940000\n1396005117\t9.250000\n1396005718\t9.310000\n1396006318\t9.500000\n1396006919\t9.750000\n1396007520\t10.000000\n1396008120\t10.060000\n1396008721\t10.190000\n1396009321\t10.500000\n1396009922\t10.620000\n1396010522\t10.880000\n1396011123\t10.940000\n1396011723\t10.880000\n1396012324\t11.120000\n1396012925\t11.380000\n1396013525\t11.440000\n1396014126\t11.440000\n1396014726\t11.880000\n1396015327\t11.750000\n1396015927\t12.060000\n1396016528\t11.940000\n1396017128\t12.000000\n1396017729\t11.940000\n1396018344\t12.000000\n1396018945\t11.810000\n1396019546\t11.880000\n1396020146\t11.940000\n1396020747\t11.880000\n1396021347\t11.810000\n1396021948\t11.750000\n1396022548\t11.620000\n1396023149\t11.620000\n1396023749\t11.380000\n1396024350\t11.120000\n1396024951\t10.750000\n1396025551\t10.380000\n1396026152\t9.810000\n1396026752\t9.310000\n1396027353\t8.880000\n1396027953\t8.440000\n1396028554\t8.060000\n1396029154\t7.810000\n1396029755\t7.620000\n1396030356\t7.380000\n1396030956\t6.940000\n1396031557\t6.620000\n1396032157\t6.380000\n1396032758\t6.060000\n1396033358\t5.880000\n1396033959\t5.690000\n1396034559\t5.560000\n1396035160\t5.310000\n1396035761\t4.940000\n1396036361\t4.620000\n1396036962\t4.560000\n1396037562\t4.380000\n1396038178\t3.880000\n1396038778\t3.880000\n1396039379\t3.810000\n1396039979\t3.810000\n1396040580\t3.750000\n1396041180\t3.120000\n1396041781\t3.190000\n1396042382\t2.810000\n1396042982\t2.880000\n1396043583\t2.620000\n1396044183\t2.500000\n1396044784\t2.380000\n1396045384\t2.620000\n1396045985\t2.690000\n1396046585\t2.310000\n1396047186\t2.120000\n1396047786\t2.060000\n1396048387\t2.310000\n1396048988\t2.440000\n1396049588\t2.500000\n1396050189\t2.500000\n1396050789\t2.380000\n1396051390\t2.190000\n1396051990\t2.060000\n1396052591\t1.750000\n1396053191\t1.940000\n1396053792\t1.940000\n1396054392\t1.940000\n1396054993\t2.000000\n1396055593\t1.810000\n1396056209\t1.380000\n1396056809\t1.380000\n1396057410\t1.440000\n1396058011\t1.380000\n1396058611\t1.190000\n1396059212\t1.190000\n1396059812\t1.310000\n1396060413\t1.190000\n1396061013\t1.190000\n1396061614\t1.060000\n1396062214\t0.880000\n1396062815\t1.000000\n1396063415\t0.940000\n1396064016\t0.940000\n1396064617\t0.810000\n1396065217\t0.690000\n1396065818\t0.750000\n1396066418\t0.690000\n1396067019\t0.440000\n1396067619\t0.500000\n1396068220\t0.310000\n1396068821\t0.310000\n1396069421\t0.310000\n1396070022\t0.120000\n1396070622\t-0.060000\n1396071223\t0.380000\n1396071823\t0.750000\n1396072424\t0.750000\n1396073024\t0.810000\n1396073640\t1.000000\n1396074240\t1.120000\n1396074841\t1.380000\n1396075442\t1.560000\n1396076042\t1.880000\n1396076643\t2.310000\n1396077243\t2.750000\n1396077844\t3.120000\n1396078444\t3.500000\n1396079045\t3.940000\n1396079645\t4.440000\n1396080246\t4.940000\n1396080847\t5.440000\n1396081447\t6.000000\n1396082048\t6.440000\n1396082648\t7.000000\n1396083249\t7.380000\n1396083849\t8.060000\n1396084450\t8.810000\n1396085050\t9.310000\n1396085651\t9.440000\n1396086252\t10.000000\n1396086852\t10.440000\n1396087453\t10.250000\n1396088053\t10.380000\n1396088669\t10.620000\n1396089269\t11.000000\n1396089870\t11.440000\n1396090470\t12.000000\n1396091071\t12.190000\n1396091671\t12.190000\n1396092272\t12.440000\n1396092873\t12.560000\n1396093473\t12.560000\n1396094074\t12.620000\n1396094674\t12.750000\n1396095275\t13.000000\n1396095875\t13.310000\n1396096476\t13.690000\n1396097076\t13.750000\n1396097677\t13.750000\n1396098278\t13.880000\n1396098878\t14.120000\n1396099479\t14.190000\n1396100079\t14.380000\n1396100680\t14.380000\n1396101280\t14.500000\n1396101881\t14.750000\n1396102481\t14.620000\n1396103082\t14.690000\n1396103683\t14.810000\n1396104283\t14.880000\n1396104884\t14.810000\n1396105484\t14.880000\n1396106085\t14.940000\n1396106685\t14.810000\n1396107301\t14.620000\n1396107901\t14.560000\n1396108502\t14.440000\n1396109103\t14.060000\n1396109703\t13.880000\n1396110304\t13.560000\n1396110904\t13.560000\n1396111505\t13.310000\n1396112105\t12.690000\n1396112706\t12.310000\n1396113307\t11.690000\n1396113907\t11.250000\n1396114508\t11.000000\n1396115108\t10.940000\n1396115709\t10.620000\n1396116309\t10.310000\n1396116910\t9.750000\n1396117510\t9.560000\n1396118111\t9.190000\n1396118711\t8.940000\n1396119312\t8.750000\n1396119912\t8.560000\n1396120513\t8.310000\n1396121114\t8.120000\n1396121714\t7.750000\n1396122315\t7.620000\n1396122915\t7.380000\n1396123516\t7.310000\n1396124116\t7.000000\n1396124717\t6.880000\n1396125317\t6.690000\n1396125918\t6.440000\n1396126533\t6.440000\n1396127134\t6.250000\n1396127735\t6.120000\n1396128335\t6.060000\n1396128936\t5.940000\n1396129536\t5.620000\n1396130137\t5.440000\n1396130737\t5.380000\n1396131338\t5.560000\n1396131938\t5.310000\n1396132539\t5.190000\n1396133139\t5.190000\n1396133740\t5.060000\n1396134341\t5.250000\n1396134941\t5.380000\n1396135542\t5.310000\n1396136142\t5.060000\n1396136743\t5.060000\n1396137343\t4.880000\n1396137944\t4.190000\n1396138544\t3.940000\n1396139145\t4.190000\n1396139745\t4.310000\n1396140346\t4.310000\n1396140946\t4.380000\n1396141547\t4.190000\n1396142148\t3.880000\n1396142748\t3.880000\n1396143349\t4.060000\n1396143964\t3.940000\n1396144565\t3.880000\n1396145165\t3.940000\n1396145766\t3.880000\n1396146366\t3.810000\n1396146967\t3.690000\n1396147568\t3.500000\n1396148168\t3.560000\n1396148769\t3.560000\n1396149369\t3.500000\n1396149970\t3.500000\n1396150570\t3.440000\n1396151171\t3.440000\n1396151771\t3.500000\n1396152372\t3.690000\n1396152972\t3.750000\n1396153573\t3.810000\n1396154174\t3.810000\n1396154774\t3.810000\n1396155375\t3.810000\n1396155975\t3.940000\n1396156576\t3.940000\n1396157176\t4.120000\n1396157777\t4.380000\n1396158392\t4.690000\n1396158993\t5.000000\n1396159593\t5.120000\n1396160194\t5.190000\n1396160794\t5.310000\n1396161395\t5.380000\n1396161996\t5.500000\n1396162596\t5.620000\n1396163197\t6.060000\n1396163797\t6.250000\n1396164398\t6.380000\n1396164998\t6.310000\n1396165599\t6.750000\n1396166200\t6.880000\n1396166800\t6.940000\n1396167401\t7.120000\n1396168001\t7.440000\n1396168602\t7.620000\n1396169202\t8.000000\n1396169803\t8.310000\n1396170403\t8.500000\n1396171004\t8.690000\n1396171605\t8.940000\n1396172205\t9.120000\n1396172806\t9.310000\n1396173406\t9.380000\n1396174007\t9.560000\n1396174607\t9.620000\n1396175223\t9.940000\n1396175823\t9.880000\n1396176424\t10.060000\n1396177024\t10.250000\n1396177625\t10.440000\n1396178226\t10.310000\n1396178826\t10.620000\n1396179427\t10.940000\n1396180027\t11.190000\n1396180628\t11.810000\n1396181228\t12.060000\n1396181829\t11.310000\n1396182429\t11.690000\n1396183030\t12.120000\n1396183630\t12.500000\n1396184231\t12.250000\n1396184832\t11.880000\n1396185432\t12.000000\n1396186033\t11.750000\n1396186633\t11.750000\n1396187234\t11.560000\n1396187834\t11.880000\n1396188435\t11.750000\n1396189035\t11.440000\n1396189636\t11.440000\n1396190237\t12.060000\n1396190837\t12.250000\n1396191438\t12.000000\n1396192038\t11.810000\n1396192639\t11.880000\n1396193239\t11.750000\n1396193840\t11.690000\n1396194455\t11.500000\n1396195056\t11.250000\n1396195656\t11.250000\n1396196257\t11.060000\n1396196858\t11.060000\n1396197458\t10.690000\n1396198059\t10.380000\n1396198659\t10.000000\n1396199260\t9.620000\n1396199860\t9.000000\n1396200461\t8.690000\n1396201061\t8.620000\n1396201662\t8.500000\n1396202262\t8.310000\n1396202863\t8.190000\n1396203464\t8.060000\n1396204064\t7.940000\n1396204665\t7.880000\n1396205265\t7.690000\n1396205866\t7.750000\n1396206466\t7.690000\n1396207067\t7.620000\n1396207667\t7.440000\n1396208268\t7.500000\n1396208869\t7.440000\n1396209469\t7.380000\n1396210070\t7.190000\n1396210685\t7.120000\n1396211286\t7.190000\n1396211886\t7.250000\n1396212487\t7.250000\n1396213087\t7.120000\n1396213688\t7.000000\n1396214289\t6.880000\n1396214889\t6.810000\n1396215490\t6.810000\n1396216090\t6.620000\n1396216691\t6.690000\n1396217291\t6.560000\n1396217892\t6.500000\n1396218492\t6.310000\n1396219093\t6.190000\n1396219693\t6.060000\n1396220294\t6.060000\n1396220895\t5.880000\n1396221495\t6.060000\n1396222096\t5.940000\n1396222696\t5.880000\n1396223297\t5.880000\n1396223897\t5.810000\n1396224498\t5.620000\n1396225098\t5.500000\n1396225699\t5.380000\n1396226299\t5.190000\n1396226900\t5.190000\n1396227500\t5.000000\n1396228101\t5.000000\n1396228701\t5.000000\n1396229302\t4.940000\n1396229918\t4.940000\n1396230518\t4.880000\n1396231119\t5.120000\n1396231719\t5.250000\n1396232320\t4.810000\n1396232920\t4.750000\n1396233521\t4.880000\n1396234121\t4.500000\n1396234722\t4.620000\n1396235322\t4.690000\n1396235923\t4.620000\n1396236524\t4.440000\n1396237124\t4.250000\n1396237725\t4.190000\n1396238325\t4.120000\n1396238926\t4.380000\n1396239526\t4.440000\n1396240127\t4.440000\n1396240727\t4.380000\n1396241328\t4.380000\n1396241928\t4.250000\n1396242529\t4.310000\n1396243130\t4.250000\n1396243730\t4.190000\n1396244331\t4.190000\n1396244931\t4.120000\n1396245532\t4.000000\n1396246132\t4.060000\n1396246733\t4.120000\n1396247333\t4.190000\n1396247949\t4.250000\n1396248550\t4.380000\n1396249150\t4.500000\n1396249751\t4.560000\n1396250351\t4.690000\n1396250952\t5.000000\n1396251552\t5.190000\n1396252153\t5.310000\n1396252754\t5.500000\n1396253354\t5.500000\n1396253955\t5.750000\n1396254555\t5.880000\n1396255156\t5.940000\n1396255756\t5.880000\n1396256357\t6.310000\n1396256957\t6.000000\n1396257558\t6.190000\n1396258158\t5.750000\n1396258759\t6.190000\n1396259360\t6.310000\n1396259960\t5.500000\n1396260561\t5.120000\n1396261161\t5.810000\n1396261762\t6.750000\n1396262362\t6.060000\n1396262963\t5.620000\n1396263563\t7.000000\n1396264164\t6.500000\n1396264764\t6.120000\n1396265380\t6.690000\n1396265981\t7.250000\n1396266581\t7.190000\n1396267182\t7.440000\n1396267782\t7.690000\n1396268383\t7.440000\n1396268983\t7.190000\n1396269584\t7.380000\n1396270184\t8.190000\n1396270785\t7.940000\n1396271386\t7.750000\n1396271986\t8.560000\n1396272587\t8.500000\n1396273187\t8.690000\n1396273788\t8.940000\n1396274388\t8.940000\n1396274989\t9.310000\n1396275589\t8.500000\n1396276190\t8.880000\n1396276791\t8.310000\n1396277391\t8.310000\n1396277992\t9.560000\n1396278592\t10.000000\n1396279193\t9.560000\n1396279793\t9.190000\n1396280394\t9.190000\n1396280994\t9.250000\n1396281595\t9.120000\n1396282196\t8.690000\n1396282811\t8.560000\n1396283412\t7.940000\n1396284012\t7.500000\n1396284613\t7.120000\n1396285213\t7.000000\n1396285814\t7.060000\n1396286414\t6.440000\n1396287015\t6.060000\n1396287615\t5.810000\n1396288216\t5.620000\n1396288817\t5.500000\n1396289417\t5.250000\n1396290018\t5.120000\n1396290618\t4.750000\n1396291219\t4.690000\n1396291819\t4.750000\n1396292420\t4.500000\n1396293020\t4.310000\n1396293621\t4.250000\n1396294222\t4.060000\n1396294822\t3.750000\n1396295423\t3.690000\n1396296023\t3.310000\n1396296624\t3.310000\n1396297224\t3.120000\n1396297825\t3.000000\n1396298425\t2.940000\n1396299026\t2.750000\n1396299626\t2.620000\n1396300227\t2.690000\n1396300828\t2.750000\n1396301443\t2.620000\n1396302044\t2.690000\n1396302644\t2.560000\n1396303245\t2.620000\n1396303845\t2.620000\n1396304446\t2.620000\n1396305046\t2.500000\n1396305647\t2.380000\n1396306248\t2.310000\n1396306848\t2.310000\n1396307449\t2.190000\n1396308049\t1.940000\n1396308650\t1.880000\n1396309250\t1.620000\n1396309851\t1.500000\n1396310451\t1.500000\n1396311052\t1.500000\n1396311653\t1.190000\n1396312253\t1.440000\n1396312854\t1.120000\n1396313454\t0.560000\n1396314055\t0.750000\n1396314655\t0.880000\n1396315256\t1.120000\n1396315856\t1.120000\n1396316457\t1.060000\n1396317057\t0.880000\n1396317658\t1.000000\n1396318259\t1.380000\n1396318874\t1.560000\n1396319475\t1.560000\n1396320075\t1.620000\n1396320676\t1.810000\n1396321276\t1.810000\n1396321877\t1.750000\n1396322478\t1.620000\n1396323078\t1.500000\n1396323679\t1.380000\n1396324279\t1.310000\n1396324880\t1.250000\n1396325480\t1.190000\n1396326081\t1.000000\n1396326681\t0.940000\n1396327282\t0.880000\n1396327882\t1.060000\n1396328483\t1.000000\n1396329084\t1.060000\n1396329684\t1.190000\n1396330285\t1.310000\n1396330885\t1.440000\n1396331486\t1.690000\n1396332086\t1.810000\n1396332687\t1.880000\n1396333287\t2.000000\n1396333888\t2.060000\n1396334488\t2.190000\n1396335089\t2.250000\n1396335689\t2.380000\n1396336290\t2.440000\n1396336890\t2.690000\n1396337491\t2.750000\n1396338091\t3.250000\n1396338692\t3.250000\n1396339292\t3.500000\n1396339893\t3.500000\n1396340509\t3.750000\n1396341109\t4.120000\n1396341710\t4.380000\n1396342310\t4.620000\n1396342911\t4.750000\n1396343511\t4.750000\n1396344112\t5.000000\n1396344712\t5.690000\n1396345313\t5.750000\n1396345914\t6.250000\n1396346514\t4.810000\n1396347115\t5.880000\n1396347715\t4.940000\n1396348316\t5.500000\n1396348916\t6.060000\n1396349517\t6.380000\n1396350117\t6.250000\n1396350718\t6.310000\n1396351318\t5.810000\n1396351919\t6.880000\n1396352520\t6.440000\n1396353120\t6.620000\n1396353721\t6.440000\n1396354321\t7.620000\n1396354922\t6.750000\n1396355522\t6.120000\n1396356123\t7.810000\n1396356724\t8.310000\n1396357324\t7.880000\n1396357925\t6.380000\n1396358525\t6.190000\n1396359126\t7.880000\n1396359741\t7.880000\n1396360342\t6.880000\n1396360942\t6.000000\n1396361543\t5.880000\n1396362143\t6.500000\n1396362744\t7.620000\n1396363345\t8.120000\n1396363945\t8.000000\n1396364546\t6.810000\n1396365146\t6.060000\n1396365747\t7.060000\n1396366347\t7.120000\n1396366948\t6.940000\n1396367548\t6.810000\n1396368149\t6.440000\n1396368749\t6.500000\n1396369350\t6.380000\n1396369951\t5.880000\n1396370551\t5.560000\n1396371152\t5.310000\n1396371752\t4.810000\n1396372353\t4.500000\n1396372953\t4.190000\n1396373554\t3.810000\n1396374154\t3.380000\n1396374755\t3.380000\n1396375356\t3.060000\n1396375956\t2.880000\n1396376557\t2.690000\n1396377157\t2.560000\n1396377758\t2.500000\n1396378358\t2.310000\n1396378959\t2.190000\n1396379575\t2.120000\n1396380175\t1.940000\n1396380776\t1.500000\n1396381376\t1.120000\n1396381977\t1.190000\n1396382577\t1.190000\n1396383178\t0.880000\n1396383778\t1.060000\n1396384379\t1.120000\n1396384980\t1.000000\n1396385580\t0.310000\n1396386181\t0.120000\n1396386781\t0.380000\n1396387382\t0.190000\n1396387982\t0.060000\n1396388583\t0.060000\n1396389183\t0.000000\n1396389784\t-0.060000\n1396390385\t-0.060000\n1396390985\t-0.060000\n1396391586\t0.060000\n1396392186\t0.310000\n1396392787\t0.250000\n1396393387\t0.310000\n1396393988\t0.380000\n1396394588\t0.310000\n1396395189\t0.250000\n1396395790\t0.310000\n1396396390\t0.190000\n1396397006\t0.250000\n1396397606\t0.120000\n1396398207\t-0.060000\n1396398807\t-0.120000\n1396399408\t0.000000\n1396400008\t0.060000\n1396400609\t-0.060000\n1396401210\t-0.380000\n1396401810\t-0.560000\n1396402411\t-0.380000\n1396403011\t-0.120000\n1396403612\t-0.250000\n1396404212\t-0.380000\n1396404813\t-0.310000\n1396405413\t-0.310000\n1396406014\t-0.380000\n1396406614\t-0.440000\n1396407215\t-0.440000\n1396407815\t-0.560000\n1396408416\t-0.620000\n1396409017\t-0.620000\n1396409617\t-0.620000\n1396410218\t-0.560000\n1396410818\t-0.750000\n1396411419\t-0.690000\n1396412019\t-0.620000\n1396412620\t-0.620000\n1396413220\t-0.810000\n1396413821\t-0.690000\n1396414421\t-0.690000\n1396415022\t-0.620000\n1396415638\t-0.560000\n1396416238\t-0.380000\n1396416839\t-0.250000\n1396417439\t-0.190000\n1396418040\t0.000000\n1396418640\t0.120000\n1396419241\t0.380000\n1396419841\t0.560000\n1396420442\t0.690000\n1396421042\t0.940000\n1396421643\t1.120000\n1396422244\t1.310000\n1396422844\t1.620000\n1396423445\t1.880000\n1396424045\t2.310000\n1396424646\t2.750000\n1396425246\t3.120000\n1396425847\t3.500000\n1396426447\t3.940000\n1396427048\t4.120000\n1396427648\t4.560000\n1396428249\t4.880000\n1396428850\t5.190000\n1396429450\t5.560000\n1396430051\t5.880000\n1396430651\t6.250000\n1396431252\t6.380000\n1396431867\t6.620000\n1396432468\t6.880000\n1396433068\t7.060000\n1396433669\t7.120000\n1396434269\t7.250000\n1396434870\t7.000000\n1396435470\t7.310000\n1396436071\t8.000000\n1396436672\t7.750000\n1396437272\t8.250000\n1396437873\t9.190000\n1396438473\t9.500000\n1396439074\t8.190000\n1396439674\t8.940000\n1396440275\t8.190000\n1396440875\t7.620000\n1396441476\t7.880000\n1396442077\t7.810000\n1396442677\t8.000000\n1396443278\t8.560000\n1396443878\t8.880000\n1396444479\t9.310000\n1396445079\t8.940000\n1396445680\t9.120000\n1396446280\t9.500000\n1396446881\t9.500000\n1396447496\t9.440000\n1396448097\t9.120000\n1396448698\t9.690000\n1396449298\t9.560000\n1396449899\t9.560000\n1396450499\t9.310000\n1396451100\t9.380000\n1396451700\t9.250000\n1396452301\t9.190000\n1396452901\t9.000000\n1396453502\t8.940000\n1396454102\t9.000000\n1396454703\t8.810000\n1396455303\t8.310000\n1396455904\t7.880000\n1396456505\t7.750000\n1396457105\t7.560000\n1396457706\t7.120000\n1396458306\t6.810000\n1396458907\t6.380000\n1396459507\t5.940000\n1396460108\t5.560000\n1396460708\t5.310000\n1396461309\t5.000000\n1396461910\t4.750000\n1396462510\t4.560000\n1396463111\t4.310000\n1396463711\t4.060000\n1396464312\t3.940000\n1396464912\t3.690000\n1396465513\t3.560000\n1396466113\t3.380000\n1396466729\t3.190000\n1396467330\t3.000000\n1396467930\t3.000000\n1396468531\t2.880000\n1396469131\t2.810000\n1396469732\t2.690000\n1396470332\t2.560000\n1396470933\t2.500000\n1396471534\t2.310000\n1396472134\t2.190000\n1396472735\t1.880000\n1396473335\t1.940000\n1396473936\t1.750000\n1396474536\t1.750000\n1396475137\t1.500000\n1396475737\t1.310000\n1396476338\t1.250000\n1396476939\t1.250000\n1396477539\t1.060000\n1396478139\t0.810000\n1396478740\t0.810000\n1396479341\t0.880000\n1396479941\t0.750000\n1396480542\t0.750000\n1396481142\t0.560000\n1396481743\t0.750000\n1396482343\t0.880000\n1396482944\t0.940000\n1396483544\t0.940000\n1396484145\t1.000000\n1396484761\t1.120000\n1396485361\t1.120000\n1396485962\t1.060000\n1396486562\t1.120000\n1396487163\t1.120000\n1396487763\t1.120000\n1396488364\t1.190000\n1396488964\t1.380000\n1396489565\t1.310000\n1396490166\t1.380000\n1396490766\t1.380000\n1396491367\t1.440000\n1396491967\t1.440000\n1396492568\t1.310000\n1396493168\t1.250000\n1396493769\t1.310000\n1396494369\t1.440000\n1396494970\t1.500000\n1396495570\t1.620000\n1396496171\t1.690000\n1396496772\t1.690000\n1396497372\t1.620000\n1396497973\t1.750000\n1396498573\t1.690000\n1396499174\t1.620000\n1396499774\t1.750000\n1396500375\t1.620000\n1396500975\t1.620000\n1396501576\t1.880000\n1396502177\t1.940000\n1396502777\t2.120000\n1396503378\t2.310000\n1396503978\t2.310000\n1396504594\t2.560000\n1396505194\t2.880000\n1396505795\t3.250000\n1396506395\t3.440000\n1396506996\t3.380000\n1396507596\t3.560000\n1396508197\t3.880000\n1396508798\t4.190000\n1396509398\t4.380000\n1396509999\t4.690000\n1396510599\t4.940000\n1396511200\t5.190000\n1396511800\t5.380000\n1396512401\t5.690000\n1396513001\t6.000000\n1396513602\t6.250000\n1396514203\t6.250000\n1396514803\t6.880000\n1396515404\t7.620000\n1396516004\t6.880000\n1396516605\t6.940000\n1396517205\t7.620000\n1396517806\t7.380000\n1396518406\t7.120000\n1396519007\t7.190000\n1396519607\t6.880000\n1396520208\t7.880000\n1396520809\t7.620000\n1396521409\t7.620000\n1396522025\t7.810000\n1396522625\t7.500000\n1396523226\t7.190000\n1396523826\t7.560000\n1396524427\t7.690000\n1396525027\t7.810000\n1396525628\t7.880000\n1396526229\t8.120000\n1396526829\t8.310000\n1396527430\t7.880000\n1396528030\t8.880000\n1396528631\t8.380000\n1396529231\t8.250000\n1396529832\t7.810000\n1396530432\t8.190000\n1396531033\t8.190000\n1396531634\t8.000000\n1396532234\t8.560000\n1396532835\t8.690000\n1396533435\t8.000000\n1396534036\t8.060000\n1396534636\t8.750000\n1396535237\t8.620000\n1396535837\t8.250000\n1396536438\t8.440000\n1396537038\t8.380000\n1396537639\t8.440000\n1396538240\t8.620000\n1396538840\t8.810000\n1396539441\t8.560000\n1396540041\t8.560000\n1396540657\t8.560000\n1396541257\t8.560000\n1396541858\t8.500000\n1396542458\t8.310000\n1396543059\t8.120000\n1396543659\t7.940000\n1396544260\t7.690000\n1396544861\t7.250000\n1396545461\t6.810000\n1396546062\t6.310000\n1396546662\t5.880000\n1396547263\t5.500000\n1396547863\t5.250000\n1396548464\t4.880000\n1396549064\t4.620000\n1396549665\t4.440000\n1396550265\t4.250000\n1396550866\t4.000000\n1396551466\t3.810000\n1396552067\t3.690000\n1396552668\t3.500000\n1396553268\t3.440000\n1396553869\t3.190000\n1396554469\t3.120000\n1396555070\t3.060000\n1396555670\t2.750000\n1396556271\t2.690000\n1396556886\t2.690000\n1396557487\t2.250000\n1396558088\t1.880000\n1396558688\t1.500000\n1396559289\t1.380000\n1396559889\t1.060000\n1396560490\t1.380000\n1396561090\t1.060000\n1396561691\t1.000000\n1396562291\t0.940000\n1396562892\t0.940000\n1396563493\t0.560000\n1396564093\t0.120000\n1396564694\t0.000000\n1396565294\t-0.060000\n1396565895\t-0.250000\n1396566495\t-0.310000\n1396567096\t-0.060000\n1396567696\t-0.060000\n1396568297\t0.310000\n1396568898\t0.060000\n1396569498\t-0.120000\n1396570099\t-0.120000\n1396570699\t0.190000\n1396571300\t0.000000\n1396571900\t-0.250000\n1396572501\t-0.250000\n1396573101\t-0.250000\n1396573702\t-0.690000\n1396574302\t-1.120000\n1396574903\t-0.810000\n1396575504\t-0.690000\n1396576104\t-0.620000\n1396576720\t-0.880000\n1396577320\t-1.060000\n1396577921\t-1.190000\n1396578521\t-1.060000\n1396579122\t-1.310000\n1396579722\t-1.440000\n1396580323\t-1.750000\n1396580923\t-1.380000\n1396581524\t-1.190000\n1396582124\t-1.120000\n1396582725\t-1.380000\n1396583325\t-1.750000\n1396583926\t-2.120000\n1396584527\t-1.880000\n1396585127\t-1.940000\n1396585728\t-2.250000\n1396586328\t-2.310000\n1396586929\t-1.620000\n1396587529\t-1.620000\n1396588130\t-1.810000\n1396588730\t-1.380000\n1396589331\t-1.440000\n1396589931\t-1.250000\n1396590532\t-1.060000\n1396591133\t-1.060000\n1396591733\t-1.190000\n1396592334\t-0.940000\n1396592949\t-0.500000\n1396593550\t0.000000\n1396594150\t0.440000\n1396594751\t0.880000\n1396595351\t1.310000\n1396595952\t1.810000\n1396596553\t2.190000\n1396597153\t2.440000\n1396597754\t2.690000\n1396598354\t2.940000\n1396598955\t3.310000\n1396599555\t3.750000\n1396600156\t4.120000\n1396600756\t4.500000\n1396601357\t4.810000\n1396601957\t5.000000\n1396602558\t5.120000\n1396603158\t5.380000\n1396603759\t5.560000\n1396604360\t5.940000\n1396604960\t6.120000\n1396605561\t6.500000\n1396606161\t6.690000\n1396606762\t6.750000\n1396607377\t6.500000\n1396607978\t6.880000\n1396608578\t7.000000\n1396609179\t7.060000\n1396609780\t7.440000\n1396610380\t7.380000\n1396610981\t7.440000\n1396611581\t7.620000\n1396612182\t7.690000\n1396612782\t8.190000\n1396613383\t8.250000\n1396613983\t8.190000\n1396614584\t8.120000\n1396618916\t8.810000\n1396619517\t8.880000\n1396620117\t9.440000\n1396620718\t9.250000\n1396621318\t9.880000\n1396621919\t9.060000\n1396622519\t9.000000\n1396623120\t9.120000\n1396623720\t9.500000\n1396624321\t9.620000\n1396624921\t9.620000\n1396625522\t9.310000\n1396626122\t9.190000\n1396626723\t9.120000\n1396627324\t9.060000\n1396627924\t8.810000\n1396628525\t8.620000\n1396629125\t8.560000\n1396629726\t8.500000\n1396630326\t8.440000\n1396630927\t7.940000\n1396631527\t7.440000\n1396632128\t6.810000\n1396632728\t6.310000\n1396633329\t5.880000\n1396633929\t5.500000\n1396634545\t5.190000\n1396635145\t4.940000\n1396635746\t4.620000\n1396636346\t4.440000\n1396636947\t4.190000\n1396637547\t4.000000\n1396638148\t3.810000\n1396638748\t3.810000\n1396639349\t3.440000\n1396639949\t3.440000\n1396640550\t3.310000\n1396641150\t3.250000\n1396641751\t3.190000\n1396642351\t3.060000\n1396642952\t2.940000\n1396643552\t2.750000\n1396644153\t2.690000\n1396644754\t2.690000\n1396645354\t2.620000\n1396645955\t2.500000\n1396646555\t2.190000\n1396647156\t2.120000\n1396647756\t2.190000\n1396648357\t2.310000\n1396648957\t2.440000\n1396649558\t2.440000\n1396650158\t2.440000\n1396650759\t2.310000\n1396651359\t2.000000\n1396651960\t1.810000\n1396652560\t1.750000\n1396653161\t1.750000\n1396653761\t1.690000\n1396654362\t1.560000\n1396654962\t1.060000\n1396655563\t0.940000\n1396656178\t0.690000\n1396656779\t0.620000\n1396657379\t0.880000\n1396657980\t0.880000\n1396658580\t0.750000\n1396659181\t0.620000\n1396659781\t0.500000\n1396660382\t0.380000\n1396660982\t0.380000\n1396661583\t0.310000\n1396662184\t0.190000\n1396662784\t0.190000\n1396663385\t0.190000\n1396663985\t0.060000\n1396664586\t-0.060000\n1396665186\t-0.060000\n1396665787\t-0.120000\n1396666387\t-0.190000\n1396666988\t-0.250000\n1396667588\t-0.440000\n1396668189\t-0.500000\n1396668789\t-0.440000\n1396669390\t-0.380000\n1396669991\t-0.500000\n1396670591\t-0.440000\n1396671192\t-0.620000\n1396671792\t-0.750000\n1396672393\t-0.560000\n1396672993\t-0.560000\n1396673594\t-0.440000\n1396674194\t-0.380000\n1396674795\t-0.250000\n1396675395\t-0.250000\n1396675996\t-0.120000\n1396676596\t0.060000\n1396677197\t0.190000\n1396677812\t0.250000\n1396678413\t0.500000\n1396679014\t0.620000\n1396679614\t0.880000\n1396680215\t1.120000\n1396680815\t1.380000\n1396681416\t1.620000\n1396682016\t1.880000\n1396682617\t2.190000\n1396683217\t2.620000\n1396683818\t3.060000\n1396684418\t3.440000\n1396685019\t3.750000\n1396685619\t4.190000\n1396686220\t4.560000\n1396686820\t5.000000\n1396687421\t5.380000\n1396688021\t5.940000\n1396688622\t6.120000\n1396689222\t6.190000\n1396689823\t6.750000\n1396690424\t7.190000\n1396691024\t7.500000\n1396691625\t7.440000\n1396692225\t7.750000\n1396692826\t8.380000\n1396693426\t8.690000\n1396694027\t8.690000\n1396694627\t8.940000\n1396695228\t9.500000\n1396695828\t9.310000\n1396696429\t9.440000\n1396697029\t9.620000\n1396697645\t9.880000\n1396698245\t9.620000\n1396698846\t9.750000\n1396699447\t10.190000\n1396700047\t11.000000\n1396700648\t11.310000\n1396701248\t11.060000\n1396701849\t11.060000\n1396702449\t11.440000\n1396703050\t11.690000\n1396703650\t11.880000\n1396704251\t11.880000\n1396704851\t11.560000\n1396705452\t11.440000\n1396706052\t11.620000\n1396706653\t12.120000\n1396707254\t12.190000\n1396707854\t11.880000\n1396708455\t11.620000\n1396709055\t11.190000\n1396709656\t11.120000\n1396710256\t10.940000\n1396710857\t10.810000\n1396711457\t10.560000\n1396712058\t10.250000\n1396712658\t10.060000\n1396713259\t9.880000\n1396713859\t9.690000\n1396714460\t9.560000\n1396715075\t9.380000\n1396715676\t9.250000\n1396716276\t9.060000\n1396716877\t9.000000\n1396717478\t8.880000\n1396718078\t8.810000\n1396718679\t8.690000\n1396719279\t8.560000\n1396719880\t8.440000\n1396720480\t8.310000\n1396721081\t8.310000\n1396721681\t8.190000\n1396722282\t8.250000\n1396722882\t8.120000\n1396723483\t8.190000\n1396724083\t8.250000\n1396724684\t8.250000\n1396725285\t8.190000\n1396725885\t8.000000\n1396726486\t7.940000\n1396727086\t7.940000\n1396727687\t7.940000\n1396728287\t7.880000\n1396728888\t7.810000\n1396729488\t7.750000\n1396730089\t7.690000\n1396730689\t7.560000\n1396731290\t7.560000\n1396731890\t7.500000\n1396732491\t7.500000\n1396733106\t7.440000\n1396733707\t7.440000\n1396734307\t7.440000\n1396734908\t7.310000\n1396735509\t7.060000\n1396736109\t7.000000\n1396736710\t6.810000\n1396737310\t6.690000\n1396737911\t6.620000\n1396738511\t6.620000\n1396739112\t6.560000\n1396739712\t6.560000\n1396740313\t6.500000\n1396740913\t6.500000\n1396741514\t6.500000\n1396742114\t6.500000\n1396742715\t6.500000\n1396743315\t6.440000\n1396743916\t6.500000\n1396744516\t6.500000\n1396745117\t6.500000\n1396745718\t6.500000\n1396746318\t6.560000\n1396746919\t6.620000\n1396747519\t6.620000\n1396748120\t6.620000\n1396748720\t6.620000\n1396749336\t6.620000\n1396749936\t6.620000\n1396750537\t6.620000\n1396751138\t6.620000\n1396751738\t6.690000\n1396752339\t6.690000\n1396752939\t6.690000\n1396753540\t6.750000\n1396754140\t6.750000\n1396754741\t6.750000\n1396755341\t6.750000\n1396755942\t6.750000\n1396756542\t6.750000\n1396757143\t6.750000\n1396757743\t6.750000\n1396758344\t6.690000\n1396758944\t6.690000\n1396759545\t6.620000\n1396760145\t6.620000\n1396760746\t6.620000\n1396761347\t6.620000\n1396761947\t6.690000\n1396762548\t6.620000\n1396763148\t6.690000\n1396763764\t6.690000\n1396764364\t6.690000\n1396764965\t6.750000\n1396765565\t6.750000\n1396766166\t6.750000\n1396766766\t6.690000\n1396767367\t6.690000\n1396767967\t6.690000\n1396768568\t6.810000\n1396769168\t7.060000\n1396769769\t7.060000\n1396770369\t7.190000\n1396770970\t7.750000\n1396771571\t7.620000\n1396772171\t7.690000\n1396772772\t7.560000\n1396773372\t8.120000\n1396773973\t8.560000\n1396774573\t9.060000\n1396775174\t8.940000\n1396775774\t9.190000\n1396776375\t8.880000\n1396776975\t8.690000\n1396777576\t8.500000\n1396778176\t8.560000\n1396778777\t8.500000\n1396779377\t8.500000\n1396779978\t8.750000\n1396780578\t8.940000\n1396781194\t9.000000\n1396781795\t8.880000\n1396782395\t8.880000\n1396782996\t9.120000\n1396783596\t8.750000\n1396784197\t9.060000\n1396784797\t9.190000\n1396785398\t9.380000\n1396785998\t9.500000\n1396786599\t9.440000\n1396787199\t9.500000\n1396787800\t9.810000\n1396788400\t9.750000\n1396789001\t9.500000\n1396789601\t9.500000\n1396790202\t9.250000\n1396790802\t9.000000\n1396791403\t9.120000\n1396792004\t9.310000\n1396792604\t9.250000\n1396793205\t9.190000\n1396793805\t9.060000\n1396794406\t9.000000\n1396794838\t9.000000\n1396795454\t8.750000\n1396795966\t8.750000\n1396796031\t8.750000\n1396796632\t8.940000\n1396797248\t8.940000\n1396797848\t8.880000\n1396798449\t8.940000\n1396799049\t9.120000\n1396799650\t9.060000\n1396800250\t9.000000\n1396800851\t8.940000\n1396801451\t8.940000\n1396802052\t8.880000\n1396802652\t8.750000\n1396803253\t8.690000\n1396803853\t8.690000\n1396804454\t8.560000\n1396805055\t8.500000\n1396805655\t8.380000\n1396806256\t8.310000\n1396806856\t8.250000\n1396807457\t8.250000\n1396808057\t8.250000\n1396808658\t8.190000\n1396809258\t8.060000\n1396809859\t8.000000\n1396810459\t8.000000\n1396811060\t8.000000\n1396811660\t8.000000\n1396812261\t8.000000\n1396812861\t8.000000\n1396813462\t8.000000\n1396814062\t8.000000\n1396814663\t8.000000\n1396815263\t8.000000\n1396815864\t8.000000\n1396816465\t7.940000\n1396817065\t7.940000\n1396817666\t7.940000\n1396818266\t7.940000\n1396818867\t8.000000\n1396819482\t7.940000\n1396820083\t7.940000\n1396820683\t7.940000\n1396821284\t7.940000\n1396821884\t7.940000\n1396822485\t7.940000\n1396823085\t7.940000\n1396823686\t7.880000\n1396824286\t7.810000\n1396824887\t7.810000\n1396825487\t7.810000\n1396826088\t7.880000\n1396826689\t7.880000\n1396827289\t7.810000\n1396827890\t7.880000\n1396828490\t7.880000\n1396829091\t7.880000\n1396829691\t7.880000\n1396830292\t7.880000\n1396830892\t7.880000\n1396831493\t7.940000\n1396832093\t7.940000\n1396832694\t7.940000\n1396833294\t7.940000\n1396833895\t7.940000\n1396834495\t7.940000\n1396835096\t7.940000\n1396835696\t8.000000\n1396836297\t8.000000\n1396836897\t8.000000\n1396837498\t8.000000\n1396838098\t8.000000\n1396838699\t8.060000\n1396839299\t8.060000\n1396839900\t8.120000\n1396840515\t8.120000\n1396841116\t8.190000\n1396841716\t8.250000\n1396842317\t8.310000\n1396842917\t8.440000\n1396843518\t8.500000\n1396844118\t8.620000\n1396844719\t8.750000\n1396845319\t8.810000\n1396845920\t8.880000\n1396846520\t8.940000\n1396847121\t9.000000\n1396847721\t9.120000\n1396848322\t9.250000\n1396848922\t9.500000\n1396849523\t9.690000\n1396850123\t9.690000\n1396850724\t9.750000\n1396851325\t9.880000\n1396851925\t9.810000\n1396852526\t9.880000\n1396853126\t9.940000\n1396853727\t10.000000\n1396854327\t10.000000\n1396854928\t10.060000\n1396855528\t10.060000\n1396856129\t10.440000\n1396856729\t10.620000\n1396857330\t11.060000\n1396857930\t11.060000\n1396858531\t11.000000\n1396859131\t11.250000\n1396859732\t11.190000\n1396860332\t11.310000\n1396860933\t11.500000\n1396861533\t11.620000\n1396862149\t11.380000\n1396862750\t11.440000\n1396863350\t11.190000\n1396863951\t11.250000\n1396864551\t11.310000\n1396865152\t11.190000\n1396865752\t11.190000\n1396866353\t11.250000\n1396866953\t11.250000\n1396867554\t11.190000\n1396868154\t11.120000\n1396868755\t11.250000\n1396869355\t11.190000\n1396869956\t11.310000\n1396870556\t11.250000\n1396871157\t11.190000\n1396871757\t11.000000\n1396872358\t11.060000\n1396872958\t11.120000\n1396873559\t10.940000\n1396874159\t11.000000\n1396874760\t11.000000\n1396875361\t10.940000\n1396875961\t10.940000\n1396876562\t10.810000\n1396877162\t10.810000\n1396877763\t10.690000\n1396878363\t10.620000\n1396878964\t10.560000\n1396879564\t10.690000\n1396880165\t10.560000\n1396880765\t10.560000\n1396881366\t10.560000\n1396881966\t10.560000\n1396882567\t10.560000\n1396883182\t10.500000\n1396883783\t10.500000\n1396884383\t10.440000\n1396884984\t10.500000\n1396885585\t10.560000\n1396886185\t10.560000\n1396886786\t10.560000\n1396887386\t10.560000\n1396887987\t10.560000\n1396888587\t10.500000\n1396889188\t10.380000\n1396889788\t10.250000\n1396890389\t10.190000\n1396890989\t10.190000\n1396891590\t10.190000\n1396892190\t10.120000\n1396892791\t10.120000\n1396893391\t10.060000\n1396893992\t9.940000\n1396894592\t9.940000\n1396895193\t9.750000\n1396895793\t9.250000\n1396896394\t9.120000\n1396896994\t8.940000\n1396897595\t8.620000\n1396898195\t8.310000\n1396898796\t8.120000\n1396899396\t7.940000\n1396899997\t7.690000\n1396900598\t7.690000\n1396901198\t7.620000\n1396901799\t7.500000\n1396902399\t7.500000\n1396903000\t7.440000\n1396903600\t7.120000\n1396904201\t7.000000\n1396904816\t6.880000\n1396905417\t6.690000\n1396906017\t6.690000\n1396906618\t6.560000\n1396907218\t6.500000\n1396907819\t6.440000\n1396908419\t6.060000\n1396909020\t6.060000\n1396909620\t6.060000\n1396910221\t5.880000\n1396910821\t5.750000\n1396911422\t5.880000\n1396912022\t5.500000\n1396912623\t5.690000\n1396913224\t5.690000\n1396913824\t5.440000\n1396914425\t5.250000\n1396915025\t5.250000\n1396915626\t5.250000\n1396916226\t5.190000\n1396916827\t5.120000\n1396917427\t5.120000\n1396918028\t5.000000\n1396918628\t5.060000\n1396919229\t5.000000\n1396919829\t5.000000\n1396920430\t5.000000\n1396921030\t5.000000\n1396921631\t4.880000\n1396922231\t4.880000\n1396922847\t4.880000\n1396923447\t4.880000\n1396924048\t4.940000\n1396924649\t4.880000\n1396925249\t4.940000\n1396925850\t5.000000\n1396926450\t4.940000\n1396927051\t4.940000\n1396927651\t4.940000\n1396928252\t4.940000\n1396928852\t4.880000\n1396929453\t4.810000\n1396930053\t4.810000\n1396930654\t4.880000\n1396931254\t4.880000\n1396931855\t4.810000\n1396932455\t4.810000\n1396933056\t4.940000\n1396933656\t4.940000\n1396934257\t4.940000\n1396934857\t5.120000\n1396935458\t5.120000\n1396936058\t5.250000\n1396936659\t5.250000\n1396937259\t5.380000\n1396937860\t5.440000\n1396938460\t5.560000\n1396939061\t5.440000\n1396939662\t5.560000\n1396940262\t5.560000\n1396940863\t5.620000\n1396941478\t5.750000\n1396942079\t5.690000\n1396942679\t5.690000\n1396943280\t5.810000\n1396943880\t5.880000\n1396944481\t5.810000\n1396945081\t5.810000\n1396945682\t5.940000\n1396946282\t6.060000\n1396946883\t6.000000\n1396947483\t6.000000\n1396948084\t6.060000\n1396948684\t6.000000\n1396949285\t6.120000\n1396949885\t6.120000\n1396950486\t6.120000\n1396951087\t6.120000\n1396951687\t6.250000\n1396952288\t6.250000\n1396952888\t6.190000\n1396953489\t6.190000\n1396954089\t6.250000\n1396954690\t6.310000\n1396955290\t6.250000\n1396955891\t6.250000\n1396956491\t6.250000\n1396957092\t6.190000\n1396957707\t6.060000\n1396958308\t6.120000\n1396958909\t6.060000\n1396959509\t6.000000\n1396960110\t6.120000\n1396960710\t6.120000\n1396961311\t6.250000\n1396961911\t6.250000\n1396962512\t6.250000\n1396963112\t6.310000\n1396963713\t6.250000\n1396964313\t6.120000\n1396964914\t6.060000\n1396965514\t6.000000\n1396966115\t5.940000\n1396966715\t5.880000\n1396967316\t5.880000\n1396967916\t5.880000\n1396968517\t5.880000\n1396969117\t5.810000\n1396969718\t5.810000\n1396970318\t5.750000\n1396970919\t5.690000\n1396971519\t5.690000\n1396972120\t5.690000\n1396972720\t5.620000\n1396973321\t5.690000\n1396973921\t5.690000\n1396974522\t5.620000\n1396975123\t5.560000\n1396975723\t5.620000\n1396976339\t5.560000\n1396976939\t5.500000\n1396977540\t5.500000\n1396978140\t5.380000\n1396978741\t5.440000\n1396979341\t5.380000\n1396979942\t5.380000\n1396980542\t5.310000\n1396981143\t5.250000\n1396981743\t5.250000\n1396982344\t5.250000\n1396982944\t5.190000\n1396983545\t5.190000\n1396984145\t5.190000\n1396984746\t5.190000\n1396985346\t5.190000\n1396985947\t5.250000\n1396986547\t5.190000\n1396987148\t5.190000\n1396987748\t5.190000\n1396988349\t5.250000\n1396988949\t5.250000\n1396989550\t5.190000\n1396990150\t5.190000\n1396990751\t5.190000\n1396991367\t5.190000\n1396991967\t5.190000\n1396992568\t5.190000\n1396993168\t5.190000\n1396993769\t5.190000\n1396994369\t5.190000\n1396994970\t5.190000\n1396995570\t5.120000\n1396996171\t5.120000\n1396996771\t5.120000\n1396997372\t5.120000\n1396997972\t5.060000\n1396998573\t4.940000\n1396999173\t4.880000\n1396999774\t4.750000\n1397000374\t4.690000\n1397000975\t4.560000\n1397001576\t4.440000\n1397002176\t4.380000\n1397002777\t4.250000\n1397003377\t4.120000\n1397003978\t4.060000\n1397004578\t4.000000\n1397005179\t4.000000\n1397005779\t3.880000\n1397006380\t3.880000\n1397006980\t3.810000\n1397007581\t3.750000\n1397008181\t3.750000\n1397008782\t3.750000\n1397009397\t3.750000\n1397009998\t3.690000\n1397010598\t3.750000\n1397011199\t3.750000\n1397011799\t3.690000\n1397012400\t3.690000\n1397013001\t3.690000\n1397013601\t3.690000\n1397014202\t3.690000\n1397014802\t3.620000\n1397015403\t3.500000\n1397016003\t3.500000\n1397016604\t3.380000\n1397017204\t3.310000\n1397017805\t3.120000\n1397018405\t3.060000\n1397019006\t3.060000\n1397019606\t3.060000\n1397020207\t3.000000\n1397020807\t2.940000\n1397021408\t2.880000\n1397022008\t2.880000\n1397022609\t2.810000\n1397023209\t2.750000\n1397023810\t2.750000\n1397024410\t2.810000\n1397025011\t2.750000\n1397025611\t2.750000\n1397026212\t2.750000\n1397026812\t2.620000\n1397027413\t2.690000\n1397028028\t2.620000\n1397028629\t2.620000\n1397029229\t2.690000\n1397029830\t2.750000\n1397030430\t2.750000\n1397031031\t2.690000\n1397031631\t2.690000\n1397032232\t2.750000\n1397032832\t2.810000\n1397033433\t2.750000\n1397034033\t2.750000\n1397034634\t2.690000\n1397035234\t2.690000\n1397035835\t2.690000\n1397036436\t2.750000\n1397037036\t2.690000\n1397037637\t2.750000\n1397038237\t2.750000\n1397038838\t2.750000\n1397039438\t2.810000\n1397040039\t2.880000\n1397040639\t2.750000\n1397041240\t2.750000\n1397041840\t2.940000\n1397042441\t2.880000\n1397043041\t3.000000\n1397043642\t3.000000\n1397044242\t3.120000\n1397044843\t3.190000\n1397045443\t3.250000\n1397046059\t3.250000\n1397046659\t3.380000\n1397047260\t3.440000\n1397047860\t3.500000\n1397048461\t3.440000\n1397049062\t3.440000\n1397049662\t3.440000\n1397050263\t3.500000\n1397050863\t3.690000\n1397051464\t4.000000\n1397052064\t4.310000\n1397052665\t4.250000\n1397053265\t4.250000\n1397053866\t4.120000\n1397054466\t4.060000\n1397055067\t4.060000\n1397055667\t4.120000\n1397056268\t4.120000\n1397056868\t4.120000\n1397057469\t4.190000\n1397058069\t4.060000\n1397058670\t3.880000\n1397059270\t3.750000\n1397059871\t3.560000\n1397060472\t3.620000\n1397061072\t3.690000\n1397061673\t3.750000\n1397062273\t3.750000\n1397062874\t3.810000\n1397063489\t3.880000\n1397064090\t3.810000\n1397064690\t3.810000\n1397065291\t3.750000\n1397065891\t3.750000\n1397066492\t3.750000\n1397067092\t3.690000\n1397067693\t3.690000\n1397068293\t3.560000\n1397068894\t3.440000\n1397069494\t3.440000\n1397070095\t3.380000\n1397070695\t3.380000\n1397071296\t3.250000\n1397071896\t3.190000\n1397072497\t3.190000\n1397073097\t3.120000\n1397073698\t3.060000\n1397074298\t3.060000\n1397074899\t3.000000\n1397075500\t2.940000\n1397076100\t2.940000\n1397076701\t2.880000\n1397077301\t2.810000\n1397077902\t2.750000\n1397078517\t2.750000\n1397079118\t2.690000\n1397079718\t2.690000\n1397080319\t2.620000\n1397080919\t2.620000\n1397081520\t2.560000\n1397082120\t2.560000\n1397082721\t2.560000\n1397083321\t2.560000\n1397083922\t2.560000\n1397084522\t2.560000\n1397085123\t2.500000\n1397085723\t2.560000\n1397086324\t2.500000\n1397086925\t2.500000\n1397087525\t2.500000\n1397088125\t2.440000\n1397088726\t2.440000\n1397089327\t2.380000\n1397089927\t2.310000\n1397090528\t2.250000\n1397091128\t2.120000\n1397091729\t2.060000\n1397092329\t2.060000\n1397092930\t1.940000\n1397093530\t1.880000\n1397094131\t1.810000\n1397094731\t1.750000\n1397095332\t1.560000\n1397095932\t1.440000\n1397096533\t1.310000\n1397097148\t1.190000\n1397097749\t1.250000\n1397098349\t1.120000\n1397098950\t1.060000\n1397099550\t0.940000\n1397100151\t0.880000\n1397100752\t0.750000\n1397101352\t0.620000\n1397101953\t0.560000\n1397102553\t0.620000\n1397103154\t0.560000\n1397103754\t0.440000\n1397104355\t0.500000\n1397104955\t0.620000\n1397105556\t0.620000\n1397106156\t0.690000\n1397106757\t0.810000\n1397107357\t0.940000\n1397107958\t1.060000\n1397108558\t1.190000\n1397109159\t1.380000\n1397109759\t1.620000\n1397110360\t1.750000\n1397110961\t1.940000\n1397111561\t2.120000\n1397112162\t2.380000\n1397112762\t2.620000\n1397113363\t2.810000\n1397113963\t3.000000\n1397114579\t3.310000\n1397115179\t3.560000\n1397115780\t3.810000\n1397116380\t4.190000\n1397116981\t4.440000\n1397117581\t4.690000\n1397118182\t5.060000\n1397118782\t5.120000\n1397119383\t5.500000\n1397119983\t5.880000\n1397120584\t6.060000\n1397121184\t6.310000\n1397121785\t6.620000\n1397122385\t6.880000\n1397122986\t7.060000\n1397123586\t7.310000\n1397124187\t7.310000\n1397124787\t7.310000\n1397125388\t7.810000\n1397125988\t8.000000\n1397126589\t8.000000\n1397127190\t7.940000\n1397127790\t8.060000\n1397128391\t8.310000\n1397128991\t8.500000\n1397129592\t8.880000\n1397130192\t8.750000\n1397130793\t8.750000\n1397131408\t8.620000\n1397132009\t8.500000\n1397132609\t8.750000\n1397133210\t8.690000\n1397133810\t8.810000\n1397134411\t8.690000\n1397135011\t8.440000\n1397135612\t8.500000\n1397136212\t8.310000\n1397136813\t8.000000\n1397137413\t8.120000\n1397138014\t8.000000\n1397138614\t7.810000\n1397139215\t7.750000\n1397139815\t7.690000\n1397140416\t7.750000\n1397141016\t7.690000\n1397141617\t7.810000\n1397142218\t7.880000\n1397142818\t7.810000\n1397143418\t7.690000\n1397144019\t7.620000\n1397144619\t7.560000\n1397145220\t7.500000\n1397145821\t7.440000\n1397146421\t7.440000\n1397147022\t7.380000\n1397147622\t7.250000\n1397148238\t7.120000\n1397148838\t7.120000\n1397149439\t7.120000\n1397150039\t7.060000\n1397150640\t7.000000\n1397151240\t7.000000\n1397151841\t6.940000\n1397152441\t6.880000\n1397153042\t6.810000\n1397153642\t6.750000\n1397154243\t6.620000\n1397154843\t6.560000\n1397155444\t6.500000\n1397156045\t6.440000\n1397156645\t6.380000\n1397157246\t6.380000\n1397157846\t6.380000\n1397158446\t6.310000\n1397159047\t6.310000\n1397159648\t6.310000\n1397160248\t6.250000\n1397160849\t6.310000\n1397161449\t6.310000\n1397162050\t6.310000\n1397162650\t6.310000\n1397163251\t6.310000\n1397163851\t6.310000\n1397164467\t6.250000\n1397165067\t6.190000\n1397165668\t6.190000\n1397166268\t6.190000\n1397166869\t6.190000\n1397167469\t6.120000\n1397168070\t6.120000\n1397168670\t6.120000\n1397169271\t6.120000\n1397169871\t6.190000\n1397170472\t6.120000\n1397171072\t6.190000\n1397171673\t6.190000\n1397172274\t6.120000\n1397172874\t6.120000\n1397173475\t6.060000\n1397174075\t6.060000\n1397174676\t6.000000\n1397175276\t5.940000\n1397175877\t5.940000\n1397176477\t5.940000\n1397177078\t5.940000\n1397177678\t5.940000\n1397178279\t5.880000\n1397178894\t5.880000\n1397179495\t5.880000\n1397180095\t5.880000\n1397180696\t5.880000\n1397181296\t5.810000\n1397181897\t5.810000\n1397182497\t5.750000\n1397183098\t5.750000\n1397183698\t5.750000\n1397184299\t5.750000\n1397184899\t5.750000\n1397185500\t5.690000\n1397186100\t5.620000\n1397186701\t5.560000\n1397187301\t5.560000\n1397187902\t5.500000\n1397188503\t5.500000\n1397189103\t5.500000\n1397189704\t5.440000\n1397190304\t5.500000\n1397190905\t5.560000\n1397191505\t5.620000\n1397192106\t5.690000\n1397192706\t5.690000\n1397193307\t5.810000\n1397193907\t5.810000\n1397194508\t5.880000\n1397195123\t5.940000\n1397195724\t6.000000\n1397196324\t6.120000\n1397196925\t6.190000\n1397197525\t6.250000\n1397198126\t6.250000\n1397198726\t6.310000\n1397199327\t6.310000\n1397199927\t6.310000\n1397200528\t6.310000\n1397201128\t6.380000\n1397201729\t6.500000\n1397202330\t6.690000\n1397202930\t6.810000\n1397203531\t7.120000\n1397204131\t7.250000\n1397204732\t7.000000\n1397205332\t6.940000\n1397205933\t6.940000\n1397206533\t7.060000\n1397207134\t7.500000\n1397207734\t7.810000\n1397208335\t8.000000\n1397208935\t8.310000\n1397209536\t8.690000\n1397210136\t9.120000\n1397210737\t8.880000\n1397211338\t8.880000\n1397211938\t9.120000\n1397212539\t8.880000\n1397213139\t9.310000\n1397213740\t9.620000\n1397214340\t10.190000\n1397214941\t9.690000\n1397215541\t9.880000\n1397216157\t9.620000\n1397216757\t10.310000\n1397217358\t10.560000\n1397217958\t9.880000\n1397218559\t10.310000\n1397219159\t10.620000\n1397219760\t10.750000\n1397220360\t10.500000\n1397220961\t10.310000\n1397221561\t10.750000\n1397222162\t10.750000\n1397222763\t11.000000\n1397223363\t11.000000\n1397223963\t10.940000\n1397224564\t11.120000\n1397225164\t11.310000\n1397225765\t11.120000\n1397226366\t11.250000\n1397226966\t11.190000\n1397227567\t11.310000\n1397228167\t11.380000\n1397228768\t11.310000\n1397229368\t11.190000\n1397229969\t11.250000\n1397230569\t11.310000\n1397231170\t11.440000\n1397231770\t11.500000\n1397232371\t11.560000\n1397232971\t11.310000\n1397233572\t11.190000\n1397234172\t11.060000\n1397234773\t11.250000\n1397235388\t11.120000\n1397235989\t10.880000\n1397236590\t10.690000\n1397237190\t10.440000\n1397237791\t9.940000\n1397238391\t9.500000\n1397238992\t9.060000\n1397239592\t8.750000\n1397240193\t8.380000\n1397240793\t8.190000\n1397241394\t8.060000\n1397241994\t7.880000\n1397242595\t7.620000\n1397243195\t7.440000\n1397243796\t7.250000\n1397244396\t7.120000\n1397244997\t6.940000\n1397245597\t6.810000\n1397246198\t6.690000\n1397246798\t6.500000\n1397247399\t6.380000\n1397247999\t6.120000\n1397248600\t6.060000\n1397249201\t6.060000\n1397249801\t6.000000\n1397250402\t6.000000\n1397251002\t5.940000\n1397251603\t5.880000\n1397252218\t5.620000\n1397252819\t5.380000\n1397253419\t5.310000\n1397254020\t5.120000\n1397254620\t5.060000\n1397255221\t5.060000\n1397255821\t4.880000\n1397256422\t4.880000\n1397257022\t4.810000\n1397257623\t4.810000\n1397258224\t4.750000\n1397258824\t4.620000\n1397259424\t4.620000\n1397260025\t4.500000\n1397260626\t4.380000\n1397261226\t4.380000\n1397261827\t4.380000\n1397262427\t4.190000\n1397263028\t4.120000\n1397263628\t4.120000\n1397264229\t4.120000\n1397264829\t4.060000\n1397265430\t4.000000\n1397266030\t3.940000\n1397266631\t3.880000\n1397267231\t3.940000\n1397267832\t3.690000\n1397268432\t3.500000\n1397269033\t3.380000\n1397269633\t3.250000\n1397270249\t3.310000\n1397270849\t3.250000\n1397271450\t3.060000\n1397272050\t3.120000\n1397272651\t3.000000\n1397273252\t3.000000\n1397273852\t2.940000\n1397274453\t3.000000\n1397275053\t3.060000\n1397275654\t3.120000\n1397276254\t3.190000\n1397276855\t3.190000\n1397277455\t3.380000\n1397278056\t3.500000\n1397278656\t3.620000\n1397279257\t3.810000\n1397279857\t4.060000\n1397280458\t4.500000\n1397281059\t4.880000\n1397281659\t5.250000\n1397282260\t5.560000\n1397282860\t5.690000\n1397283461\t5.810000\n1397284061\t5.940000\n1397284662\t6.000000\n1397285262\t5.940000\n1397285863\t5.880000\n1397286463\t6.190000\n1397287079\t6.440000\n1397287679\t6.810000\n1397288280\t7.190000\n1397288880\t7.500000\n1397289481\t7.500000\n1397290081\t7.750000\n1397290682\t7.880000\n1397291282\t8.310000\n1397291883\t8.560000\n1397292483\t8.620000\n1397293084\t8.810000\n1397293685\t9.000000\n1397294285\t9.000000\n1397294886\t9.120000\n1397295486\t9.380000\n1397296087\t9.560000\n1397296687\t9.810000\n1397297288\t10.000000\n1397297888\t10.120000\n1397298489\t10.190000\n1397299089\t10.500000\n1397299690\t10.380000\n1397300290\t10.440000\n1397300891\t10.560000\n1397301491\t10.440000\n1397302092\t10.380000\n1397302692\t10.560000\n1397303293\t10.620000\n1397303908\t10.750000\n1397304509\t10.940000\n1397305109\t10.940000\n1397305710\t11.380000\n1397306310\t11.810000\n1397306911\t11.060000\n1397307511\t11.000000\n1397308112\t10.940000\n1397308712\t10.880000\n1397309313\t10.880000\n1397309913\t11.120000\n1397310514\t10.940000\n1397311114\t10.620000\n1397311715\t10.440000\n1397312315\t10.380000\n1397312916\t10.120000\n1397313516\t10.120000\n1397314117\t9.880000\n1397314717\t9.750000\n1397315318\t9.500000\n1397315918\t9.380000\n1397316519\t9.310000\n1397317119\t9.190000\n1397317720\t9.120000\n1397318321\t8.940000\n1397318921\t8.880000\n1397319522\t8.690000\n1397320122\t8.560000\n1397320723\t8.500000\n1397321338\t8.310000\n1397321939\t7.940000\n1397322539\t7.690000\n1397323140\t7.560000\n1397323740\t7.500000\n1397324341\t7.380000\n1397324941\t7.250000\n1397325542\t7.190000\n1397326142\t7.000000\n1397326743\t6.940000\n1397327343\t6.810000\n1397327944\t6.690000\n1397328544\t6.560000\n1397329145\t6.440000\n1397329746\t6.380000\n1397330346\t6.440000\n1397330947\t6.380000\n1397331547\t6.380000\n1397332148\t6.380000\n1397332748\t6.440000\n1397333349\t6.440000\n1397333949\t6.440000\n1397334550\t6.500000\n1397335150\t6.500000\n1397335751\t6.440000\n1397336351\t6.500000\n1397336952\t6.440000\n1397337567\t6.440000\n1397338168\t6.440000\n1397338768\t6.440000\n1397339369\t6.440000\n1397339969\t6.440000\n1397340570\t6.440000\n1397341170\t6.440000\n1397341771\t6.500000\n1397342371\t6.440000\n1397342972\t6.440000\n1397343572\t6.440000\n1397344173\t6.440000\n1397344773\t6.440000\n1397345374\t6.440000\n1397345974\t6.440000\n1397346575\t6.440000\n1397347175\t6.440000\n1397347776\t6.380000\n1397348376\t6.380000\n1397348977\t6.380000\n1397349578\t6.440000\n1397350178\t6.440000\n1397350779\t6.500000\n1397351379\t6.500000\n1397351995\t6.500000\n1397352595\t6.560000\n1397353196\t6.560000\n1397353796\t6.560000\n1397354397\t6.620000\n1397354997\t6.620000\n1397355598\t6.620000\n1397356198\t6.690000\n1397356799\t6.690000\n1397357399\t6.620000\n1397358000\t6.620000\n1397358601\t6.620000\n1397359201\t6.690000\n1397359802\t6.690000\n1397360402\t6.690000\n1397361003\t6.690000\n1397361603\t6.750000\n1397362204\t6.620000\n1397362804\t6.620000\n1397363405\t6.620000\n1397364005\t6.690000\n1397364606\t6.750000\n1397365206\t6.810000\n1397365807\t6.810000\n1397366407\t6.880000\n1397367008\t6.940000\n1397367608\t6.940000\n1397368209\t6.940000\n1397368809\t7.060000\n1397369410\t7.120000\n1397370025\t7.250000\n1397370626\t7.380000\n1397371226\t7.750000\n1397371827\t7.880000\n1397372427\t7.810000\n1397373028\t7.880000\n1397373628\t7.940000\n1397374229\t7.940000\n1397374829\t8.190000\n1397375430\t8.440000\n1397376031\t8.620000\n1397376631\t8.750000\n1397377232\t8.810000\n1397377832\t8.940000\n1397378433\t8.880000\n1397379033\t8.810000\n1397379634\t9.620000\n1397380234\t9.380000\n1397380835\t9.380000\n1397381435\t9.440000\n1397382036\t9.940000\n1397382636\t9.810000\n1397383237\t10.190000\n1397383837\t9.880000\n1397384438\t10.380000\n1397385038\t10.620000\n1397385639\t10.310000\n1397386240\t10.500000\n1397386840\t10.880000\n1397387441\t10.380000\n1397388056\t10.440000\n1397388657\t10.250000\n1397389257\t10.620000\n1397389858\t10.940000\n1397390458\t10.940000\n1397391059\t11.000000\n1397391659\t10.940000\n1397392260\t11.190000\n1397392860\t11.440000\n1397393461\t12.060000\n1397394061\t11.810000\n1397394662\t12.060000\n1397395262\t12.000000\n1397395863\t12.190000\n1397396464\t12.000000\n1397397064\t11.940000\n1397397665\t12.060000\n1397398265\t12.250000\n1397398866\t12.310000\n1397399466\t12.120000\n1397400067\t12.060000\n1397400667\t12.380000\n1397401268\t12.120000\n1397401868\t12.120000\n1397402469\t12.120000\n1397403069\t12.060000\n1397403670\t12.190000\n1397404285\t12.060000\n1397404886\t11.880000\n1397405487\t11.750000\n1397406087\t11.690000\n1397406688\t11.560000\n1397407288\t11.380000\n1397407889\t11.250000\n1397408489\t10.690000\n1397409090\t10.380000\n1397409690\t10.000000\n1397410291\t9.750000\n1397410891\t9.880000\n1397411492\t9.620000\n1397412092\t9.500000\n1397412693\t9.440000\n1397413293\t9.250000\n1397413894\t9.120000\n1397414495\t8.810000\n1397415095\t8.560000\n1397415696\t8.560000\n1397416296\t8.310000\n1397416897\t8.190000\n1397417497\t8.060000\n1397418098\t7.940000\n1397418698\t7.810000\n1397419299\t7.750000\n1397419899\t7.620000\n1397420515\t7.620000\n1397421115\t7.500000\n1397421716\t7.380000\n1397422316\t7.310000\n1397422917\t7.190000\n1397423517\t7.060000\n1397424118\t6.940000\n1397424718\t6.810000\n1397425319\t6.690000\n1397425919\t6.560000\n1397426520\t6.440000\n1397427121\t6.310000\n1397427721\t6.310000\n1397428322\t6.190000\n1397428922\t6.000000\n1397429523\t5.940000\n1397430123\t5.810000\n1397430724\t5.750000\n1397431324\t5.690000\n1397431925\t5.500000\n1397432525\t5.440000\n1397433126\t5.310000\n1397433726\t5.310000\n1397434327\t5.250000\n1397434927\t5.120000\n1397435528\t5.000000\n1397436129\t4.810000\n1397436729\t4.810000\n1397437330\t4.750000\n1397437930\t4.620000\n1397438531\t4.620000\n1397439146\t4.500000\n1397439747\t4.380000\n1397440347\t4.380000\n1397440948\t4.250000\n1397441548\t4.190000\n1397442149\t4.120000\n1397442749\t4.060000\n1397443350\t4.000000\n1397443950\t3.940000\n1397444551\t3.810000\n1397445152\t3.810000\n1397445752\t3.880000\n1397446353\t3.880000\n1397446953\t3.810000\n1397447554\t3.810000\n1397448154\t3.690000\n1397448755\t3.560000\n1397449355\t3.440000\n1397449956\t3.440000\n1397450556\t3.310000\n1397451157\t3.620000\n1397451757\t3.560000\n1397452358\t3.620000\n1397452958\t3.690000\n1397453559\t3.880000\n1397454159\t4.000000\n1397454760\t4.190000\n1397455360\t4.380000\n1397455961\t4.690000\n1397456576\t4.880000\n1397457177\t5.060000\n1397457778\t5.250000\n1397458378\t5.500000\n1397458979\t5.690000\n1397459579\t6.060000\n1397460180\t6.310000\n1397460780\t6.620000\n1397461381\t6.880000\n1397461981\t7.190000\n1397462582\t7.620000\n1397463182\t7.810000\n1397463783\t8.120000\n1397464383\t8.440000\n1397464984\t8.810000\n1397465584\t9.120000\n1397466185\t9.310000\n1397466785\t9.560000\n1397467386\t9.690000\n1397467986\t9.880000\n1397468587\t10.000000\n1397469188\t10.250000\n1397469788\t10.380000\n1397470389\t10.690000\n1397471004\t10.690000\n1397471605\t11.060000\n1397472205\t11.250000\n1397472806\t11.690000\n1397473406\t11.620000\n1397474007\t11.810000\n1397474607\t11.440000\n1397475208\t11.060000\n1397475808\t11.750000\n1397476409\t11.940000\n1397477010\t12.120000\n1397477610\t12.190000\n1397478211\t11.940000\n1397478811\t11.880000\n1397479412\t11.880000\n1397480012\t11.810000\n1397480613\t12.250000\n1397481213\t12.310000\n1397481814\t11.940000\n1397482414\t11.810000\n1397483015\t13.690000\n1397483615\t12.380000\n1397484216\t11.880000\n1397484816\t11.750000\n1397485417\t10.620000\n1397486017\t10.500000\n1397486618\t11.620000\n1397487218\t11.500000\n1397487834\t11.000000\n1397488434\t10.690000\n1397489035\t11.120000\n1397489635\t10.380000\n1397490236\t10.500000\n1397490837\t9.940000\n1397491437\t9.940000\n1397492038\t10.190000\n1397492638\t11.000000\n1397493239\t10.690000\n1397493839\t10.440000\n1397494440\t11.190000\n1397495040\t10.810000\n1397495641\t11.120000\n1397496241\t10.810000\n1397496842\t11.250000\n1397497442\t11.310000\n1397498043\t10.690000\n1397498643\t10.440000\n1397499244\t10.250000\n1397499844\t9.940000\n1397500445\t9.880000\n1397501045\t9.690000\n1397501646\t9.440000\n1397502247\t9.120000\n1397502847\t8.940000\n1397503448\t8.940000\n1397504048\t8.810000\n1397504664\t9.060000\n1397505264\t8.940000\n1397505865\t9.000000\n1397506465\t9.000000\n1397507066\t8.940000\n1397507666\t8.620000\n1397508267\t8.190000\n1397508867\t7.880000\n1397509468\t7.750000\n1397510068\t7.750000\n1397510669\t7.810000\n1397511269\t7.810000\n1397511870\t7.940000\n1397512470\t8.000000\n1397513071\t8.060000\n1397513672\t7.880000\n1397514272\t7.880000\n1397514873\t7.940000\n1397515473\t8.000000\n1397516074\t7.750000\n1397516674\t7.620000\n1397517275\t7.310000\n1397517875\t7.120000\n1397518476\t6.880000\n1397519076\t6.750000\n1397519677\t6.560000\n1397520277\t6.440000\n1397520878\t6.250000\n1397521478\t6.250000\n1397522094\t6.190000\n1397522694\t6.310000\n1397523295\t6.250000\n1397523895\t6.190000\n1397524496\t6.120000\n1397525096\t6.060000\n1397525697\t5.940000\n1397526297\t5.810000\n1397526898\t5.810000\n1397527498\t5.810000\n1397528099\t5.810000\n1397528699\t5.940000\n1397529300\t5.940000\n1397529901\t5.880000\n1397530501\t5.880000\n1397531102\t5.880000\n1397531702\t5.940000\n1397532303\t5.750000\n1397532903\t5.620000\n1397533504\t5.690000\n1397534104\t5.620000\n1397534705\t5.560000\n1397535305\t5.560000\n1397535906\t5.560000\n1397536506\t5.500000\n1397537107\t5.620000\n1397537707\t5.620000\n1397538308\t5.690000\n1397538908\t5.750000\n1397539524\t5.880000\n1397540125\t6.000000\n1397540725\t6.000000\n1397541326\t6.060000\n1397541926\t6.440000\n1397542527\t6.690000\n1397543127\t6.620000\n1397543728\t6.810000\n1397544328\t6.940000\n1397544929\t6.810000\n1397545529\t6.880000\n1397546130\t6.880000\n1397546730\t7.500000\n1397547331\t7.940000\n1397547931\t7.380000\n1397548532\t7.560000\n1397549132\t7.810000\n1397549733\t8.060000\n1397550333\t8.060000\n1397550934\t8.250000\n1397551534\t8.250000\n1397552135\t8.810000\n1397552736\t9.000000\n1397553336\t8.940000\n1397553937\t8.940000\n1397554537\t9.310000\n1397555138\t9.440000\n1397555738\t9.620000\n1397556339\t10.060000\n1397556939\t9.940000\n1397557540\t10.380000\n1397558155\t10.440000\n1397558756\t10.440000\n1397559356\t10.620000\n1397559957\t10.940000\n1397560557\t10.810000\n1397561158\t10.940000\n1397561758\t10.940000\n1397562359\t10.880000\n1397562960\t11.380000\n1397563560\t11.440000\n1397564161\t11.810000\n1397564761\t11.880000\n1397565362\t11.560000\n1397565962\t12.190000\n1397566563\t11.500000\n1397567163\t10.690000\n1397567764\t10.620000\n1397568364\t11.880000\n1397568965\t10.940000\n1397569565\t12.310000\n1397570166\t12.500000\n1397570766\t11.810000\n1397571367\t11.250000\n1397571967\t11.000000\n1397572568\t11.190000\n1397573169\t11.560000\n1397573769\t11.060000\n1397574370\t10.560000\n1397574970\t11.940000\n1397575571\t12.440000\n1397576171\t12.750000\n1397576787\t11.560000\n1397577387\t12.440000\n1397577988\t11.620000\n1397578588\t11.060000\n1397579189\t11.440000\n1397579789\t11.690000\n1397580390\t10.810000\n1397580990\t10.620000\n1397581591\t11.060000\n1397582191\t10.810000\n1397582792\t10.500000\n1397583392\t10.310000\n1397583993\t9.940000\n1397584593\t9.560000\n1397585194\t9.060000\n1397585794\t8.690000\n1397586395\t8.310000\n1397586996\t8.120000\n1397587596\t7.940000\n1397588197\t7.690000\n1397588797\t7.500000\n1397589398\t7.310000\n1397589998\t7.120000\n1397590599\t7.000000\n1397591199\t6.750000\n1397591800\t6.560000\n1397592400\t6.440000\n1397593001\t6.310000\n1397593601\t6.250000\n1397594202\t6.250000\n1397594803\t6.120000\n1397595403\t5.940000\n1397596004\t5.750000\n1397596619\t5.620000\n1397597220\t5.500000\n1397597820\t5.380000\n1397598421\t5.190000\n1397599021\t5.000000\n1397599622\t4.880000\n1397600222\t4.880000\n1397600823\t4.810000\n1397601423\t4.690000\n1397602024\t4.560000\n1397602624\t4.060000\n1397603225\t3.750000\n1397603825\t3.440000\n1397604426\t3.690000\n1397605026\t3.440000\n1397605627\t3.560000\n1397606227\t3.690000\n1397606828\t3.120000\n1397607428\t3.190000\n1397608029\t3.190000\n1397608630\t2.880000\n1397609230\t2.750000\n1397609831\t2.750000\n1397610431\t2.500000\n1397611032\t2.500000\n1397611632\t2.560000\n1397612233\t2.250000\n1397612833\t1.940000\n1397613434\t1.380000\n1397614034\t0.880000\n1397614635\t0.810000\n1397615250\t0.940000\n1397615851\t1.120000\n1397616451\t0.880000\n1397617052\t0.500000\n1397617653\t0.750000\n1397618253\t0.060000\n1397618854\t0.190000\n1397619454\t0.250000\n1397620055\t0.120000\n1397620655\t0.000000\n1397621256\t0.060000\n1397621856\t0.120000\n1397622457\t0.250000\n1397623057\t-0.120000\n1397623658\t-0.120000\n1397624258\t0.250000\n1397624859\t0.560000\n1397625459\t0.750000\n1397626060\t1.000000\n1397626660\t1.250000\n1397627261\t1.560000\n1397627861\t1.810000\n1397628462\t2.380000\n1397629062\t2.690000\n1397629663\t2.940000\n1397630263\t3.380000\n1397630864\t3.560000\n1397631464\t3.940000\n1397632065\t4.250000\n1397632665\t4.690000\n1397633266\t5.250000\n1397633866\t5.560000\n1397634482\t5.810000\n1397635082\t6.190000\n1397635683\t6.690000\n1397636283\t7.120000\n1397636884\t7.310000\n1397637484\t7.560000\n1397638085\t8.000000\n1397638686\t8.310000\n1397639286\t8.380000\n1397639887\t8.620000\n1397640487\t8.940000\n1397641088\t9.190000\n1397641688\t9.880000\n1397642289\t10.060000\n1397642889\t9.810000\n1397643490\t10.250000\n1397644090\t10.440000\n1397644691\t10.440000\n1397645291\t10.190000\n1397645892\t10.000000\n1397646492\t10.690000\n1397647093\t11.060000\n1397647693\t11.500000\n1397648294\t11.880000\n1397648894\t11.940000\n1397649495\t12.060000\n1397650095\t12.310000\n1397650696\t11.810000\n1397651296\t12.250000\n1397651897\t12.620000\n1397652498\t12.560000\n1397653113\t12.690000\n1397653714\t12.190000\n1397654314\t12.380000\n1397654915\t12.750000\n1397655515\t12.810000\n1397656116\t12.810000\n1397656716\t12.880000\n1397657317\t12.690000\n1397657917\t12.620000\n1397658518\t12.620000\n1397659118\t12.750000\n1397659719\t13.000000\n1397660319\t12.750000\n1397660920\t12.380000\n1397661520\t12.810000\n1397662121\t12.810000\n1397662721\t12.560000\n1397663322\t12.560000\n1397663923\t13.000000\n1397664523\t13.060000\n1397665124\t12.250000\n1397665724\t11.750000\n1397666325\t11.380000\n1397666925\t11.060000\n1397667526\t10.810000\n1397668126\t10.750000\n1397668727\t10.620000\n1397669327\t10.440000\n1397669928\t10.120000\n1397670528\t9.940000\n1397671129\t9.690000\n1397671744\t9.500000\n1397672345\t9.380000\n1397672945\t9.310000\n1397673546\t9.250000\n1397674146\t9.060000\n1397674747\t8.880000\n1397675347\t8.690000\n1397675948\t8.620000\n1397676548\t8.380000\n1397677149\t8.310000\n1397677750\t8.060000\n1397678350\t7.940000\n1397678951\t7.810000\n1397679551\t7.690000\n1397680152\t7.440000\n1397680752\t7.500000\n1397681353\t7.440000\n1397681953\t7.440000\n1397682554\t7.440000\n1397683154\t7.380000\n1397683755\t7.250000\n1397684355\t7.190000\n1397684956\t7.190000\n1397685556\t7.250000\n1397686157\t7.190000\n1397686757\t7.190000\n1397687358\t7.120000\n1397687958\t7.120000\n1397688574\t7.060000\n1397689174\t7.000000\n1397689775\t6.810000\n1397690375\t6.750000\n1397690976\t6.690000\n1397691577\t6.560000\n1397692177\t6.500000\n1397692778\t6.500000\n1397693378\t6.440000\n1397693979\t6.440000\n1397694579\t6.380000\n1397695180\t6.310000\n1397695780\t6.250000\n1397696381\t6.190000\n1397696981\t6.120000\n1397697582\t6.060000\n1397698182\t6.060000\n1397698783\t6.000000\n1397699383\t5.810000\n1397699984\t5.810000\n1397700584\t5.810000\n1397701185\t5.690000\n1397701785\t5.620000\n1397702386\t5.440000\n1397702986\t5.380000\n1397703587\t5.380000\n1397704187\t5.500000\n1397704788\t5.440000\n1397705388\t5.380000\n1397705989\t5.310000\n1397706604\t5.310000\n1397707205\t5.250000\n1397707805\t5.190000\n1397708406\t5.190000\n1397709007\t5.380000\n1397709607\t5.620000\n1397710208\t5.620000\n1397710808\t5.560000\n1397711409\t5.560000\n1397712009\t5.620000\n1397712610\t5.690000\n1397713210\t5.810000\n1397713811\t6.190000\n1397714411\t6.500000\n1397715012\t6.620000\n1397715612\t6.560000\n1397716213\t6.380000\n1397716813\t6.880000\n1397717414\t7.250000\n1397718014\t7.560000\n1397718615\t7.940000\n1397719215\t8.500000\n1397719816\t8.810000\n1397720416\t8.690000\n1397721017\t9.000000\n1397721618\t9.440000\n1397722218\t9.690000\n1397722819\t9.500000\n1397723419\t9.440000\n1397724035\t9.690000\n1397724635\t9.940000\n1397725236\t10.000000\n1397725836\t10.380000\n1397726437\t11.250000\n1397727037\t11.380000\n1397727638\t11.310000\n1397728239\t12.000000\n1397728839\t11.940000\n1397729440\t12.190000\n1397730040\t12.310000\n1397730641\t12.500000\n1397731241\t12.440000\n1397731842\t12.440000\n1397732442\t12.380000\n1397733043\t12.810000\n1397733643\t12.690000\n1397734244\t12.440000\n1397734844\t12.560000\n1397735445\t12.380000\n1397736045\t12.500000\n1397736646\t12.440000\n1397737246\t12.500000\n1397737862\t12.250000\n1397738462\t12.060000\n1397739063\t11.880000\n1397739663\t11.880000\n1397740264\t11.810000\n1397740865\t11.880000\n1397741465\t11.880000\n1397742066\t11.880000\n1397742666\t12.250000\n1397743267\t12.880000\n1397743867\t13.560000\n1397744468\t13.560000\n1397745068\t13.120000\n1397745669\t13.000000\n1397746269\t13.060000\n1397746870\t13.120000\n1397747470\t12.810000\n1397748071\t12.750000\n1397748671\t12.690000\n1397749272\t12.500000\n1397749873\t12.310000\n1397750473\t11.880000\n1397751074\t11.940000\n1397751674\t12.120000\n1397752275\t11.940000\n1397752875\t11.440000\n1397753476\t11.000000\n1397754076\t10.440000\n1397754677\t9.940000\n1397755277\t9.500000\n1397755878\t9.380000\n1397756493\t9.310000\n1397757094\t9.120000\n1397757694\t9.000000\n1397758295\t8.940000\n1397758895\t8.810000\n1397759496\t8.750000\n1397760096\t8.560000\n1397760697\t8.560000\n1397761297\t8.440000\n1397761898\t8.380000\n1397762498\t8.250000\n1397763099\t8.190000\n1397763699\t8.190000\n1397764300\t8.120000\n1397764901\t8.120000\n1397765501\t8.120000\n1397766102\t8.060000\n1397766702\t8.060000\n1397767303\t8.060000\n1397767903\t8.060000\n1397768504\t8.060000\n1397769104\t8.000000\n1397769705\t8.000000\n1397770305\t7.940000\n1397770906\t7.880000\n1397771506\t7.880000\n1397772107\t7.880000\n1397772707\t7.880000\n1397773308\t7.880000\n1397773909\t7.880000\n1397774524\t7.810000\n1397775125\t7.810000\n1397775725\t7.810000\n1397776326\t7.750000\n1397776926\t7.690000\n1397777527\t7.620000\n1397778127\t7.560000\n1397778728\t7.560000\n1397779328\t7.560000\n1397779929\t7.440000\n1397780529\t7.440000\n1397781130\t7.440000\n1397781730\t7.440000\n1397782331\t7.380000\n1397782932\t7.310000\n1397783532\t7.190000\n1397784133\t7.120000\n1397784733\t7.060000\n1397785334\t7.060000\n1397785934\t7.120000\n1397786535\t7.120000\n1397787135\t7.000000\n1397787736\t6.940000\n1397788336\t6.810000\n1397788937\t6.690000\n1397789537\t6.500000\n1397790138\t6.310000\n1397790738\t6.250000\n1397791339\t6.120000\n1397791939\t6.000000\n1397792555\t5.810000\n1397793155\t5.690000\n1397793756\t5.620000\n1397794356\t5.750000\n1397794957\t5.810000\n1397795558\t5.880000\n1397796158\t6.000000\n1397796759\t6.000000\n1397797359\t6.190000\n1397797960\t6.500000\n1397798560\t6.750000\n1397799161\t7.120000\n1397799761\t7.250000\n1397800362\t7.380000\n1397800962\t7.560000\n1397801563\t7.440000\n1397802163\t7.620000\n1397802764\t7.690000\n1397803364\t7.810000\n1397803965\t7.750000\n1397804565\t7.940000\n1397805166\t7.810000\n1397805766\t7.750000\n1397806367\t7.810000\n1397806967\t8.250000\n1397807568\t8.060000\n1397808168\t8.120000\n1397808769\t7.880000\n1397809369\t8.120000\n1397809985\t8.380000\n1397810585\t8.560000\n1397811186\t8.440000\n1397811787\t9.000000\n1397812387\t9.880000\n1397812988\t10.120000\n1397813588\t10.560000\n1397814189\t10.750000\n1397814789\t10.810000\n1397815390\t11.060000\n1397815990\t10.620000\n1397816591\t11.690000\n1397817191\t11.250000\n1397817792\t11.310000\n1397818392\t11.690000\n1397818993\t11.750000\n1397819594\t11.750000\n1397820194\t12.060000\n1397820795\t12.060000\n1397821395\t12.190000\n1397821996\t12.060000\n1397822596\t12.310000\n1397823197\t12.440000\n1397823797\t11.810000\n1397824398\t12.500000\n1397824998\t12.810000\n1397825599\t13.250000\n1397826199\t13.310000\n1397826800\t13.440000\n1397827400\t14.190000\n1397828001\t14.380000\n1397828616\t14.380000\n1397829217\t14.060000\n1397829817\t14.380000\n1397830418\t14.440000\n1397831018\t13.560000\n1397831619\t13.310000\n1397832219\t13.380000\n1397832820\t13.060000\n1397833420\t13.000000\n1397834021\t13.380000\n1397834621\t14.190000\n1397835222\t15.060000\n1397835823\t14.060000\n1397836423\t12.880000\n1397837024\t12.500000\n1397837624\t12.620000\n1397838225\t12.120000\n1397838825\t13.500000\n1397839426\t13.250000\n1397840026\t12.500000\n1397840627\t12.250000\n1397841227\t12.120000\n1397841828\t11.880000\n1397842428\t11.380000\n1397843029\t10.750000\n1397843629\t10.750000\n1397844245\t10.560000\n1397844845\t10.500000\n1397845446\t10.380000\n1397846046\t10.000000\n1397846647\t9.690000\n1397847247\t9.440000\n1397847848\t9.250000\n1397848448\t9.120000\n1397849049\t8.940000\n1397849649\t8.690000\n1397850250\t8.500000\n1397850850\t8.380000\n1397851451\t8.310000\n1397852052\t8.060000\n1397852652\t7.940000\n1397853253\t7.810000\n1397853853\t7.620000\n1397854454\t7.620000\n1397855054\t7.380000\n1397855655\t7.190000\n1397856255\t7.120000\n1397856856\t7.120000\n1397857456\t7.190000\n1397858057\t7.120000\n1397858658\t7.120000\n1397859258\t7.000000\n1397859859\t6.810000\n1397860459\t6.750000\n1397861075\t6.560000\n1397861675\t6.310000\n1397862276\t6.500000\n1397862876\t6.620000\n1397863477\t6.560000\n1397864077\t6.620000\n1397864678\t6.690000\n1397865278\t6.690000\n1397865879\t6.810000\n1397866479\t6.940000\n1397867080\t7.060000\n1397867680\t7.120000\n1397868281\t7.190000\n1397868882\t7.190000\n1397869482\t7.250000\n1397870083\t7.250000\n1397870683\t7.190000\n1397871284\t7.120000\n1397871884\t7.060000\n1397872485\t7.120000\n1397873085\t7.190000\n1397873686\t7.120000\n1397874286\t7.120000\n1397874887\t7.120000\n1397875487\t7.120000\n1397876088\t7.120000\n1397876688\t7.000000\n1397877289\t7.000000\n1397877889\t6.810000\n1397878490\t6.750000\n1397879105\t6.810000\n1397879706\t6.690000\n1397880307\t6.620000\n1397880907\t6.690000\n1397881508\t6.440000\n1397882108\t6.380000\n1397882709\t6.560000\n1397883309\t6.190000\n1397883910\t6.500000\n1397884510\t6.060000\n1397885111\t6.310000\n1397885711\t6.560000\n1397886312\t6.750000\n1397886912\t6.690000\n1397887513\t6.690000\n1397888113\t6.620000\n1397888714\t7.060000\n1397889314\t7.310000\n1397889915\t7.690000\n1397890515\t7.250000\n1397891116\t7.380000\n1397891717\t7.120000\n1397892317\t7.250000\n1397892918\t7.620000\n1397893518\t7.750000\n1397894119\t7.810000\n1397894734\t7.810000\n1397895335\t8.000000\n1397895935\t8.120000\n1397896536\t8.500000\n1397897136\t8.060000\n1397897737\t10.000000\n1397898337\t9.620000\n1397898938\t9.000000\n1397899538\t9.940000\n1397900139\t10.190000\n1397900739\t10.690000\n1397901340\t11.060000\n1397901940\t11.250000\n1397902541\t11.310000\n1397903142\t11.690000\n1397903742\t12.060000\n1397904343\t12.120000\n1397904943\t12.500000\n1397905544\t12.690000\n1397906144\t12.940000\n1397906745\t13.380000\n1397907345\t13.560000\n1397907946\t13.690000\n1397908546\t13.810000\n1397909146\t14.250000\n1397909747\t14.060000\n1397910348\t14.690000\n1397910948\t14.620000\n1397911549\t14.940000\n1397912164\t15.560000\n1397912765\t15.810000\n1397913365\t15.940000\n1397913966\t15.560000\n1397914566\t15.500000\n1397915167\t15.500000\n1397915767\t15.940000\n1397916368\t16.440000\n1397916968\t16.060000\n1397917569\t16.440000\n1397918169\t16.690000\n1397918770\t16.380000\n1397919371\t16.440000\n1397919971\t16.440000\n1397920572\t16.440000\n1397921172\t16.440000\n1397921773\t16.440000\n1397922373\t16.250000\n1397922974\t16.500000\n1397923574\t16.500000\n1397924175\t16.560000\n1397924775\t17.060000\n1397925376\t16.810000\n1397925976\t16.810000\n1397926577\t16.000000\n1397927177\t15.750000\n1397927778\t15.690000\n1397928378\t15.500000\n1397928979\t15.190000\n1397929579\t14.560000\n1397930180\t14.060000\n1397930795\t13.750000\n1397931396\t13.120000\n1397931996\t12.690000\n1397932597\t12.560000\n1397933198\t12.500000\n1397933798\t12.440000\n1397934398\t11.620000\n1397934999\t11.120000\n1397935600\t10.880000\n1397936200\t10.560000\n1397936801\t10.310000\n1397937401\t10.060000\n1397938002\t9.940000\n1397938602\t9.620000\n1397939203\t9.380000\n1397939803\t9.250000\n1397940404\t9.000000\n1397941004\t8.620000\n1397941605\t8.620000\n1397942205\t8.500000\n1397942806\t8.440000\n1397943406\t8.250000\n1397944007\t8.120000\n1397944607\t7.690000\n1397945208\t7.620000\n1397945808\t7.440000\n1397946424\t7.500000\n1397947024\t7.310000\n1397947625\t7.250000\n1397948226\t7.060000\n1397948826\t6.940000\n1397949427\t6.880000\n1397950027\t6.690000\n1397950628\t6.380000\n1397951228\t6.250000\n1397951828\t6.250000\n1397952429\t6.190000\n1397953029\t6.190000\n1397953630\t5.940000\n1397954231\t5.250000\n1397954831\t5.440000\n1397955432\t5.500000\n1397956032\t5.190000\n1397956633\t4.940000\n1397957233\t5.000000\n1397957834\t4.560000\n1397958434\t4.810000\n1397959035\t4.810000\n1397959635\t4.380000\n1397960236\t4.250000\n1397960836\t4.380000\n1397961437\t4.250000\n1397962037\t4.310000\n1397962638\t4.560000\n1397963238\t4.310000\n1397963854\t3.940000\n1397964455\t3.690000\n1397965055\t3.620000\n1397965656\t3.750000\n1397966256\t3.940000\n1397966857\t3.880000\n1397967457\t3.810000\n1397968058\t3.750000\n1397968658\t3.560000\n1397969259\t3.250000\n1397969859\t3.500000\n1397970460\t4.060000\n1397971060\t4.190000\n1397971661\t4.250000\n1397972261\t4.690000\n1397972862\t5.060000\n1397973463\t5.560000\n1397974063\t5.940000\n1397974664\t6.380000\n1397975264\t6.750000\n1397975865\t7.060000\n1397976465\t7.310000\n1397977066\t7.750000\n1397977666\t8.120000\n1397978267\t8.690000\n1397978867\t9.250000\n1397979468\t9.810000\n1397980068\t10.440000\n1397980669\t10.810000\n1397981269\t11.380000\n1397981870\t11.750000\n1397982470\t12.120000\n1397983086\t12.380000\n1397983686\t12.750000\n1397984287\t12.940000\n1397984887\t13.120000\n1397985488\t13.440000\n1397986088\t13.620000\n1397986689\t13.880000\n1397987289\t14.000000\n1397987890\t14.190000\n1397988490\t14.620000\n1397989091\t14.880000\n1397989692\t15.190000\n1397990292\t15.250000\n1397990893\t15.560000\n1397991493\t15.560000\n1397992094\t15.940000\n1397992694\t16.060000\n1397993294\t16.250000\n1397993895\t16.440000\n1397994496\t16.690000\n1397995096\t16.620000\n1397995697\t16.880000\n1397996297\t16.810000\n1397996898\t17.190000\n1397997498\t17.190000\n1397998099\t17.120000\n1397998699\t17.250000\n1397999300\t17.560000\n1397999900\t17.500000\n1398000501\t17.690000\n1398001101\t17.690000\n1398001702\t18.190000\n1398002302\t17.880000\n1398002918\t17.940000\n1398003518\t17.940000\n1398004119\t17.880000\n1398004719\t18.120000\n1398005320\t18.190000\n1398005921\t18.120000\n1398006521\t18.190000\n1398007122\t18.310000\n1398007722\t18.250000\n1398008323\t18.440000\n1398008923\t18.500000\n1398009524\t18.380000\n1398010124\t18.310000\n1398010725\t18.310000\n1398011325\t18.810000\n1398011926\t19.190000\n1398012527\t18.750000\n1398013127\t17.500000\n1398013728\t16.810000\n1398014328\t16.440000\n1398014929\t16.190000\n1398015529\t15.880000\n1398016129\t15.310000\n1398016730\t15.000000\n1398017331\t14.440000\n1398017931\t13.880000\n1398018532\t13.380000\n1398019132\t12.940000\n1398019733\t12.500000\n1398020348\t12.120000\n1398020949\t11.880000\n1398021549\t11.620000\n1398022150\t11.310000\n1398022750\t11.120000\n1398023351\t10.940000\n1398023951\t10.810000\n1398024552\t10.560000\n1398025152\t10.380000\n1398025753\t10.120000\n1398026353\t10.060000\n1398026954\t10.060000\n1398027554\t9.810000\n1398028155\t9.500000\n1398028755\t9.380000\n1398029356\t9.310000\n1398029956\t9.190000\n1398030557\t9.000000\n1398031158\t8.940000\n1398031758\t8.810000\n1398032359\t8.880000\n1398032959\t8.880000\n1398033560\t8.810000\n1398034160\t8.500000\n1398034761\t8.380000\n1398035361\t8.500000\n1398035962\t8.560000\n1398036562\t8.250000\n1398037163\t8.060000\n1398037763\t8.060000\n1398038364\t8.120000\n1398038979\t8.190000\n1398039580\t8.060000\n1398040181\t7.940000\n1398040781\t7.690000\n1398041382\t7.620000\n1398041982\t7.620000\n1398042583\t7.380000\n1398043183\t7.560000\n1398043784\t7.500000\n1398044384\t7.380000\n1398044985\t7.190000\n1398045585\t6.880000\n1398046186\t6.750000\n1398046786\t6.690000\n1398047387\t6.560000\n1398047987\t6.500000\n1398048588\t6.500000\n1398049188\t6.560000\n1398049789\t6.310000\n1398050389\t6.380000\n1398050990\t6.380000\n1398051590\t6.440000\n1398052191\t6.500000\n1398052792\t6.440000\n1398053392\t6.440000\n1398053993\t6.560000\n1398054593\t6.620000\n1398055194\t6.620000\n1398055794\t6.690000\n1398056410\t6.690000\n1398057010\t6.690000\n1398057611\t6.750000\n1398058211\t6.880000\n1398058812\t7.000000\n1398059412\t7.120000\n1398060013\t7.440000\n1398060613\t7.500000\n1398061214\t7.810000\n1398061814\t8.060000\n1398062415\t8.250000\n1398063015\t8.440000\n1398063616\t8.690000\n1398064216\t9.060000\n1398064817\t9.440000\n1398065417\t9.940000\n1398066018\t10.380000\n1398066618\t10.810000\n1398067219\t11.120000\n1398067819\t11.500000\n1398068420\t11.880000\n1398069020\t12.250000\n1398069621\t12.690000\n1398070221\t12.940000\n1398070822\t13.380000\n1398071422\t13.560000\n1398072023\t13.940000\n1398072623\t14.250000\n1398073224\t14.380000\n1398073839\t14.810000\n1398074440\t15.120000\n1398075041\t15.380000\n1398075641\t15.560000\n1398076242\t15.690000\n1398076842\t16.120000\n1398077443\t16.310000\n1398078043\t16.310000\n1398078644\t16.880000\n1398079244\t17.000000\n1398079845\t16.750000\n1398080445\t17.000000\n1398081046\t17.000000\n1398081646\t17.500000\n1398082247\t17.380000\n1398082847\t17.750000\n1398083448\t18.120000\n1398084048\t18.440000\n1398084649\t18.500000\n1398085250\t18.560000\n1398085850\t18.500000\n1398086451\t18.750000\n1398087051\t18.880000\n1398087652\t18.940000\n1398088252\t19.060000\n1398088853\t19.000000\n1398089453\t19.120000\n1398090054\t19.310000\n1398090654\t19.310000\n1398091255\t19.440000\n1398091855\t19.440000\n1398092471\t19.440000\n1398093072\t19.380000\n1398093672\t19.440000\n1398094273\t19.500000\n1398094873\t19.310000\n1398095474\t19.310000\n1398096074\t19.380000\n1398096675\t19.380000\n1398097275\t19.560000\n1398097876\t20.120000\n1398098476\t20.380000\n1398099077\t19.880000\n1398099677\t18.880000\n1398100278\t18.060000\n1398100878\t17.500000\n1398101479\t17.190000\n1398102079\t16.940000\n1398102680\t16.440000\n1398103280\t15.940000\n1398103881\t15.440000\n1398104481\t15.000000\n1398105082\t14.690000\n1398105682\t14.440000\n1398106283\t14.120000\n1398106883\t13.810000\n1398107484\t13.560000\n1398108085\t13.250000\n1398108685\t12.750000\n1398109286\t12.560000\n1398109886\t12.060000\n1398110502\t12.060000\n1398111102\t12.060000\n1398111703\t11.880000\n1398112303\t11.620000\n1398112904\t11.560000\n1398113504\t11.500000\n1398114105\t11.310000\n1398114705\t11.250000\n1398115306\t11.060000\n1398115906\t10.750000\n1398116507\t10.690000\n1398117107\t10.190000\n1398117708\t10.380000\n1398118308\t10.310000\n1398118909\t10.250000\n1398119509\t10.190000\n1398120110\t10.120000\n1398120710\t10.000000\n1398121311\t9.880000\n1398121912\t9.500000\n1398122512\t9.190000\n1398123113\t8.250000\n1398123713\t7.690000\n1398124314\t8.190000\n1398124914\t8.000000\n1398125515\t8.000000\n1398126115\t7.690000\n1398126716\t7.940000\n1398127316\t7.810000\n1398127917\t7.750000\n1398128532\t7.380000\n1398129133\t7.310000\n1398129733\t7.380000\n1398130334\t7.310000\n1398130934\t7.250000\n1398131535\t7.060000\n1398132135\t6.940000\n1398132736\t6.690000\n1398133337\t6.500000\n1398133937\t6.440000\n1398134538\t6.440000\n1398135138\t6.440000\n1398135739\t6.250000\n1398136339\t6.000000\n1398136940\t6.000000\n1398137540\t5.940000\n1398138141\t5.880000\n1398138741\t6.000000\n1398139342\t6.060000\n1398139942\t6.060000\n1398140543\t6.060000\n1398141143\t6.060000\n1398141744\t6.000000\n1398142344\t6.250000\n1398142945\t6.440000\n1398143546\t6.620000\n1398144146\t6.810000\n1398144747\t7.060000\n1398145347\t7.120000\n1398145948\t7.560000\n1398146563\t8.120000\n1398147164\t8.750000\n1398147764\t9.250000\n1398148365\t9.690000\n1398148965\t10.060000\n1398149566\t10.440000\n1398150166\t10.940000\n1398150767\t11.310000\n1398151367\t11.810000\n1398151968\t12.250000\n1398152568\t12.560000\n1398153169\t12.880000\n1398153769\t13.250000\n1398154370\t13.620000\n1398154971\t13.880000\n1398155571\t14.120000\n1398156172\t14.380000\n1398156772\t14.560000\n1398157373\t14.750000\n1398157973\t15.000000\n1398158574\t15.190000\n1398159174\t15.250000\n1398159775\t15.560000\n1398160375\t15.440000\n1398160976\t15.620000\n1398161577\t15.880000\n1398162177\t16.000000\n1398162778\t16.310000\n1398163378\t16.560000\n1398163979\t16.750000\n1398164579\t16.620000\n1398165195\t16.880000\n1398165795\t16.940000\n1398166396\t17.060000\n1398166996\t17.120000\n1398167597\t17.310000\n1398168197\t17.560000\n1398168798\t17.560000\n1398169398\t17.690000\n1398169999\t17.940000\n1398170599\t18.190000\n1398171200\t18.380000\n1398171800\t18.120000\n1398172401\t18.310000\n1398173001\t18.620000\n1398173602\t18.620000\n1398174203\t18.810000\n1398174803\t18.810000\n1398175404\t18.690000\n1398176004\t18.940000\n1398176605\t18.940000\n1398177205\t19.000000\n1398177806\t18.810000\n1398178406\t18.880000\n1398179007\t19.000000\n1398179607\t18.750000\n1398180223\t19.000000\n1398180823\t18.810000\n1398181424\t18.440000\n1398182024\t18.750000\n1398182625\t18.750000\n1398183225\t18.620000\n1398183826\t19.250000\n1398184426\t19.810000\n1398185027\t19.560000\n1398185627\t19.190000\n1398186228\t17.880000\n1398186828\t17.060000\n1398187429\t16.380000\n1398188029\t16.440000\n1398188630\t16.310000\n1398189230\t15.940000\n1398189831\t15.620000\n1398190432\t15.000000\n1398191032\t14.310000\n1398191633\t13.880000\n1398192233\t13.440000\n1398192834\t13.120000\n1398193434\t12.810000\n1398194035\t12.500000\n1398194635\t12.250000\n1398195236\t11.880000\n1398195836\t11.500000\n1398196437\t11.250000\n1398197037\t11.120000\n1398197638\t11.060000\n1398198253\t10.880000\n1398198854\t10.750000\n1398199454\t10.440000\n1398200055\t10.190000\n1398200655\t9.940000\n1398201256\t9.810000\n1398201857\t9.750000\n1398202457\t9.690000\n1398203057\t9.690000\n1398203658\t9.560000\n1398204259\t9.500000\n1398204859\t9.250000\n1398205460\t9.120000\n1398206060\t9.060000\n1398206661\t8.940000\n1398207261\t8.690000\n1398207862\t8.620000\n1398208462\t8.690000\n1398209063\t8.440000\n1398209663\t7.690000\n1398210264\t7.380000\n1398210864\t7.560000\n1398211465\t7.560000\n1398212066\t7.560000\n1398212666\t7.620000\n1398213267\t7.500000\n1398213867\t7.440000\n1398214468\t7.310000\n1398215083\t7.060000\n1398215684\t7.000000\n1398216284\t6.620000\n1398216885\t6.500000\n1398217485\t6.440000\n1398218086\t6.380000\n1398218686\t6.380000\n1398219287\t6.250000\n1398219887\t6.190000\n1398220488\t6.000000\n1398221088\t6.000000\n1398221689\t6.000000\n1398222289\t5.810000\n1398222890\t5.620000\n1398223491\t5.690000\n1398224091\t5.750000\n1398224692\t5.750000\n1398225292\t5.880000\n1398225893\t5.810000\n1398226493\t5.690000\n1398227094\t5.810000\n1398227694\t5.880000\n1398228295\t5.940000\n1398228895\t6.000000\n1398229496\t6.120000\n1398230096\t6.250000\n1398230697\t6.310000\n1398231297\t6.500000\n1398231913\t6.690000\n1398232514\t6.880000\n1398233114\t7.060000\n1398233715\t7.380000\n1398234315\t7.690000\n1398234916\t7.880000\n1398235516\t8.060000\n1398236117\t8.250000\n1398236717\t8.500000\n1398237318\t8.940000\n1398237918\t9.250000\n1398238519\t9.500000\n1398239119\t9.560000\n1398239720\t9.560000\n1398240320\t9.940000\n1398240921\t10.380000\n1398241521\t10.560000\n1398242122\t10.810000\n1398242722\t11.120000\n1398243323\t11.190000\n1398243923\t11.310000\n1398244524\t11.500000\n1398245124\t11.690000\n1398245725\t11.620000\n1398246325\t11.810000\n1398246926\t12.000000\n1398247526\t12.120000\n1398248127\t11.940000\n1398248727\t12.120000\n1398249328\t12.190000\n1398249943\t12.060000\n1398250544\t12.310000\n1398251145\t12.560000\n1398251745\t12.380000\n1398252346\t12.440000\n1398252946\t12.560000\n1398253547\t12.690000\n1398254147\t12.690000\n1398254748\t12.940000\n1398255348\t13.060000\n1398255949\t13.000000\n1398256549\t13.120000\n1398257150\t13.380000\n1398257750\t13.380000\n1398258351\t13.310000\n1398258951\t13.380000\n1398259552\t13.310000\n1398260153\t13.500000\n1398260753\t13.620000\n1398261353\t13.380000\n1398261954\t13.690000\n1398262555\t13.690000\n1398263155\t13.690000\n1398263756\t13.620000\n1398264356\t13.880000\n1398264957\t13.810000\n1398265557\t13.620000\n1398266158\t13.690000\n1398266758\t14.060000\n1398267374\t14.190000\n1398267974\t14.000000\n1398268575\t14.120000\n1398269175\t14.000000\n1398269776\t14.060000\n1398270376\t14.750000\n1398270977\t15.380000\n1398271577\t14.810000\n1398272178\t14.560000\n1398272778\t13.440000\n1398273379\t12.620000\n1398273979\t12.060000\n1398274580\t11.810000\n1398275180\t11.560000\n1398275781\t11.380000\n1398276381\t10.750000\n1398276982\t9.880000\n1398277582\t9.250000\n1398278183\t8.810000\n1398278783\t8.440000\n1398279384\t8.190000\n1398279984\t7.940000\n1398280585\t7.690000\n1398281186\t7.440000\n1398281786\t7.250000\n1398282387\t7.000000\n1398282987\t6.940000\n1398283588\t6.750000\n1398284203\t6.560000\n1398284804\t6.440000\n1398285404\t6.190000\n1398286005\t6.000000\n1398286605\t5.880000\n1398287206\t5.750000\n1398287806\t5.620000\n1398288407\t5.500000\n1398289007\t5.310000\n1398289608\t5.120000\n1398290208\t5.000000\n1398290809\t4.940000\n1398291409\t4.940000\n1398292010\t4.940000\n1398292610\t4.750000\n1398293211\t4.750000\n1398293811\t4.440000\n1398294412\t4.190000\n1398295012\t4.120000\n1398295613\t4.120000\n1398296213\t4.060000\n1398296814\t3.810000\n1398297415\t3.560000\n1398298015\t3.440000\n1398298616\t3.250000\n1398299216\t3.310000\n1398299817\t3.190000\n1398300417\t3.190000\n1398301018\t3.190000\n1398301618\t3.250000\n1398302219\t2.810000\n1398302834\t2.690000\n1398303435\t2.500000\n1398304035\t2.750000\n1398304636\t2.620000\n1398305236\t2.380000\n1398305837\t2.500000\n1398306437\t2.620000\n1398307038\t2.560000\n1398307638\t2.560000\n1398308239\t2.500000\n1398308839\t2.190000\n1398309440\t2.120000\n1398310040\t2.250000\n1398310641\t2.250000\n1398311241\t2.310000\n1398311842\t2.250000\n1398312443\t2.250000\n1398313043\t2.120000\n1398313644\t2.250000\n1398314244\t2.500000\n1398314845\t2.560000\n1398315445\t2.620000\n1398316046\t2.620000\n1398316646\t2.810000\n1398317247\t2.880000\n1398317847\t3.000000\n1398318448\t3.190000\n1398319048\t3.250000\n1398319664\t3.620000\n1398320264\t3.880000\n1398320865\t4.190000\n1398321466\t4.500000\n1398322066\t4.810000\n1398322667\t5.060000\n1398323267\t5.440000\n1398323868\t5.880000\n1398324468\t6.310000\n1398325069\t6.690000\n1398325669\t7.120000\n1398326270\t7.440000\n1398326870\t7.810000\n1398327471\t8.310000\n1398328071\t8.560000\n1398328672\t8.750000\n1398329272\t9.060000\n1398329873\t9.560000\n1398330473\t9.620000\n1398331074\t10.060000\n1398331674\t10.120000\n1398332275\t10.500000\n1398332875\t10.500000\n1398333476\t10.690000\n1398334076\t10.810000\n1398334677\t10.940000\n1398335277\t11.380000\n1398335878\t11.250000\n1398336479\t11.810000\n1398337094\t11.940000\n1398337695\t12.000000\n1398338295\t12.120000\n1398338896\t12.310000\n1398339496\t12.750000\n1398340097\t12.940000\n1398340697\t12.750000\n1398341298\t13.250000\n1398341898\t13.190000\n1398342499\t13.620000\n1398343099\t13.750000\n1398343700\t13.810000\n1398344300\t13.810000\n1398344901\t13.940000\n1398345501\t14.380000\n1398346102\t14.060000\n1398346702\t14.310000\n1398347303\t14.380000\n1398347903\t14.380000\n1398348504\t14.440000\n1398349104\t14.750000\n1398349705\t14.620000\n1398350305\t14.940000\n1398350906\t14.810000\n1398351507\t14.620000\n1398352107\t14.810000\n1398352708\t14.940000\n1398353308\t14.810000\n1398353924\t15.120000\n1398354524\t14.620000\n1398355125\t14.380000\n1398355725\t14.310000\n1398356326\t14.500000\n1398356926\t16.000000\n1398357527\t16.500000\n1398358127\t15.750000\n1398358728\t15.190000\n1398359328\t14.190000\n1398359929\t13.380000\n1398360530\t12.620000\n1398361130\t12.120000\n1398361731\t11.810000\n1398362331\t11.310000\n1398362932\t10.380000\n1398363532\t9.620000\n1398364132\t9.060000\n1398364733\t8.560000\n1398365334\t8.250000\n1398365934\t8.000000\n1398366535\t7.880000\n1398367135\t7.690000\n1398367736\t7.500000\n1398368336\t7.250000\n1398368937\t6.620000\n1398369537\t6.380000\n1398370138\t6.000000\n1398370738\t5.940000\n1398371354\t5.810000\n1398371954\t5.690000\n1398372555\t5.750000\n1398373156\t5.750000\n1398373756\t5.380000\n1398374357\t5.000000\n1398374957\t4.940000\n1398375558\t4.690000\n1398376158\t4.440000\n1398376759\t4.560000\n1398377359\t4.560000\n1398377960\t4.120000\n1398378560\t4.310000\n1398379161\t4.000000\n1398379761\t3.880000\n1398380362\t3.440000\n1398380962\t3.560000\n1398381563\t3.500000\n1398382163\t3.690000\n1398382764\t3.500000\n1398383365\t3.500000\n1398383965\t3.380000\n1398384566\t3.380000\n1398385166\t3.250000\n1398385767\t3.250000\n1398386367\t3.120000\n1398386968\t3.250000\n1398387568\t2.500000\n1398388169\t2.310000\n1398388784\t2.310000\n1398389385\t2.560000\n1398389985\t2.440000\n1398390586\t2.690000\n1398391186\t2.190000\n1398391787\t2.310000\n1398392387\t2.060000\n1398392988\t1.880000\n1398393588\t1.940000\n1398394189\t1.940000\n1398394789\t1.940000\n1398395390\t1.000000\n1398395991\t1.440000\n1398396591\t1.250000\n1398397192\t1.190000\n1398397792\t1.380000\n1398398393\t1.380000\n1398398993\t1.620000\n1398399594\t1.620000\n1398400194\t1.380000\n1398400795\t1.690000\n1398401395\t1.810000\n1398401996\t2.120000\n1398402596\t2.310000\n1398403197\t2.500000\n1398403797\t2.750000\n1398404398\t3.000000\n1398404998\t3.310000\n1398405599\t3.750000\n1398406199\t4.190000\n1398406800\t4.690000\n1398407400\t5.000000\n1398408001\t5.310000\n1398408601\t5.690000\n1398409217\t6.060000\n1398409817\t6.560000\n1398410418\t7.000000\n1398411018\t7.500000\n1398411619\t7.810000\n1398412220\t8.380000\n1398412820\t8.690000\n1398413421\t8.940000\n1398414021\t9.190000\n1398414622\t9.560000\n1398415222\t9.690000\n1398415823\t9.940000\n1398416423\t10.250000\n1398417024\t10.440000\n1398417624\t10.560000\n1398418225\t10.810000\n1398418825\t11.000000\n1398419426\t10.750000\n1398420026\t11.310000\n1398420627\t11.440000\n1398421227\t11.560000\n1398421828\t11.750000\n1398422428\t12.000000\n1398423029\t12.120000\n1398423629\t12.190000\n1398424230\t12.500000\n1398424830\t12.810000\n1398425431\t12.880000\n1398426031\t12.560000\n1398426632\t12.380000\n1398427232\t13.000000\n1398427848\t13.500000\n1398428449\t13.810000\n1398429049\t14.000000\n1398429650\t14.060000\n1398430250\t14.250000\n1398430851\t14.250000\n1398431451\t14.500000\n1398432052\t14.690000\n1398432652\t14.940000\n1398433253\t15.120000\n1398433853\t15.250000\n1398434454\t15.500000\n1398435054\t15.620000\n1398435655\t15.750000\n1398436255\t15.880000\n1398436856\t15.750000\n1398437457\t15.750000\n1398438057\t16.000000\n1398438658\t15.880000\n1398439258\t16.000000\n1398439859\t16.060000\n1398440459\t16.000000\n1398441060\t16.190000\n1398441660\t16.190000\n1398442261\t16.060000\n1398442861\t17.190000\n1398443462\t18.120000\n1398444062\t16.560000\n1398444663\t17.190000\n1398445264\t16.750000\n1398445864\t16.190000\n1398446465\t15.500000\n1398447065\t14.750000\n1398447666\t14.250000\n1398448281\t14.120000\n1398448882\t13.810000\n1398449482\t13.310000\n1398450083\t12.620000\n1398450683\t11.940000\n1398451284\t11.440000\n1398451884\t10.880000\n1398452485\t10.440000\n1398453086\t10.060000\n1398453686\t9.810000\n1398454287\t9.560000\n1398454887\t9.310000\n1398455488\t9.120000\n1398456088\t9.000000\n1398456689\t8.940000\n1398457289\t8.750000\n1398457890\t8.620000\n1398458490\t8.440000\n1398459091\t8.190000\n1398459691\t7.880000\n1398460292\t7.880000\n1398460892\t7.810000\n1398461493\t7.880000\n1398462093\t7.810000\n1398462694\t7.500000\n1398463294\t7.500000\n1398463895\t7.500000\n1398464495\t7.310000\n1398465096\t7.250000\n1398465696\t7.380000\n1398466297\t7.380000\n1398466912\t7.310000\n1398467513\t7.190000\n1398468114\t7.120000\n1398468714\t7.000000\n1398469315\t6.750000\n1398469915\t6.120000\n1398470516\t5.940000\n1398471116\t5.940000\n1398471717\t5.940000\n1398472317\t6.000000\n1398472918\t5.560000\n1398473518\t5.190000\n1398474119\t5.060000\n1398474719\t4.880000\n1398475320\t5.000000\n1398475920\t5.190000\n1398476521\t5.120000\n1398477121\t5.000000\n1398477722\t4.880000\n1398478322\t4.690000\n1398478923\t4.500000\n1398479523\t4.000000\n1398480124\t4.190000\n1398480724\t3.940000\n1398481325\t3.690000\n1398481926\t3.880000\n1398482526\t3.690000\n1398483127\t3.750000\n1398483727\t3.880000\n1398484328\t3.620000\n1398484928\t3.810000\n1398485544\t3.940000\n1398486144\t3.940000\n1398486745\t4.000000\n1398487345\t4.120000\n1398487946\t4.250000\n1398488546\t4.500000\n1398489147\t4.690000\n1398489747\t4.880000\n1398490348\t5.120000\n1398490948\t5.380000\n1398491549\t5.690000\n1398492149\t6.060000\n1398492750\t6.620000\n1398493350\t7.190000\n1398493951\t7.690000\n1398494552\t8.190000\n1398495152\t8.620000\n1398495753\t9.310000\n1398496353\t9.810000\n1398496953\t10.380000\n1398497554\t11.000000\n1398498155\t11.380000\n1398498755\t11.810000\n1398499355\t12.250000\n1398499956\t12.750000\n1398500556\t13.120000\n1398501157\t13.380000\n1398501758\t13.750000\n1398502358\t14.060000\n1398502974\t14.310000\n1398503574\t14.440000\n1398504175\t14.620000\n1398504775\t14.750000\n1398505376\t15.000000\n1398505976\t15.120000\n1398506577\t15.380000\n1398507177\t15.500000\n1398507778\t15.500000\n1398508378\t15.810000\n1398508979\t15.940000\n1398509579\t15.750000\n1398510180\t16.000000\n1398510780\t16.310000\n1398511381\t16.620000\n1398511981\t16.560000\n1398512582\t17.060000\n1398513182\t17.250000\n1398513783\t17.250000\n1398514384\t17.310000\n1398514984\t17.250000\n1398515585\t17.500000\n1398516185\t17.620000\n1398516786\t17.690000\n1398517386\t18.190000\n1398517987\t18.120000\n1398518587\t18.250000\n1398519188\t18.440000\n1398519788\t18.380000\n1398520389\t18.380000\n1398521004\t18.250000\n1398521605\t18.500000\n1398522205\t18.310000\n1398522806\t18.440000\n1398523406\t18.690000\n1398524007\t18.750000\n1398524607\t18.560000\n1398525208\t18.810000\n1398525808\t18.500000\n1398526409\t18.500000\n1398527009\t18.620000\n1398527610\t18.500000\n1398528210\t18.060000\n1398528811\t18.000000\n1398529411\t18.810000\n1398649613\t9.810000\n1398650213\t9.750000\n1398650814\t9.690000\n1398651414\t9.060000\n1398652015\t9.190000\n1398652615\t8.690000\n1398653216\t9.000000\n1398653817\t8.880000\n1398654417\t8.120000\n1398655018\t8.000000\n1398655618\t8.120000\n1398656219\t8.120000\n1398656819\t8.120000\n1398657420\t8.120000\n1398658020\t8.250000\n1398658636\t8.310000\n1398659236\t8.310000\n1398659837\t8.500000\n1398660437\t8.750000\n1398661038\t9.120000\n1398661638\t9.560000\n1398662239\t9.940000\n1398662839\t10.310000\n1398663440\t10.560000\n1398664040\t10.940000\n1398664641\t11.380000\n1398665241\t11.880000\n1398665842\t12.440000\n1398666443\t13.000000\n1398667043\t13.380000\n1398667644\t13.750000\n1398668244\t14.190000\n1398668845\t14.810000\n1398669445\t15.060000\n1398670046\t15.440000\n1398670646\t16.000000\n1398671247\t16.380000\n1398671847\t16.500000\n1398672448\t17.190000\n1398673048\t17.380000\n1398673649\t17.690000\n1398674249\t18.000000\n1398674850\t18.440000\n1398675450\t18.690000\n1398676051\t18.940000\n1398676651\t19.250000\n1398677252\t19.310000\n1398677852\t19.620000\n1398678453\t19.880000\n1398679053\t20.190000\n1398679654\t20.060000\n1398680269\t20.060000\n1398680870\t20.120000\n1398681470\t20.120000\n1398682071\t20.380000\n1398682672\t20.690000\n1398683272\t20.750000\n1398683873\t21.000000\n1398684473\t21.060000\n1398685074\t21.000000\n1398685674\t21.190000\n1398686275\t21.250000\n1398686875\t21.250000\n1398687476\t21.380000\n1398688076\t21.440000\n1398688677\t21.750000\n1398689277\t21.750000\n1398689878\t21.250000\n1398690478\t21.440000\n1398691079\t21.690000\n1398691679\t21.620000\n1398692280\t21.620000\n1398692880\t21.620000\n1398693481\t21.440000\n1398694082\t21.440000\n1398694682\t21.380000\n1398695283\t21.310000\n1398695883\t21.060000\n1398696484\t21.690000\n1398697084\t21.380000\n1398697685\t21.810000\n1398698285\t22.120000\n1398698886\t21.620000\n1398699168\t21.620000\n1398700384\t21.620000\n1398700985\t21.750000\n1398701585\t21.750000\n1398702186\t22.560000\n1398702786\t22.940000\n1398703387\t22.690000\n1398703987\t22.060000\n1398704588\t21.690000\n1398705188\t21.060000\n1398705789\t20.620000\n1398706389\t19.810000\n1398706990\t19.380000\n1398707590\t18.690000\n1398708191\t18.250000\n1398708806\t18.000000\n1398709407\t17.560000\n1398710007\t17.250000\n1398710608\t16.810000\n1398711209\t16.440000\n1398711809\t16.190000\n1398712410\t15.940000\n1398713010\t15.750000\n1398713611\t15.310000\n1398714211\t15.060000\n1398714812\t15.000000\n1398715412\t14.880000\n1398716013\t14.560000\n1398716613\t14.250000\n1398717214\t14.000000\n1398717814\t13.690000\n1398718415\t13.500000\n1398719015\t13.380000\n1398719616\t13.250000\n1398720216\t13.060000\n1398720817\t13.060000\n1398721417\t12.940000\n1398722018\t12.690000\n1398722618\t12.500000\n1398723219\t12.500000\n1398723819\t12.440000\n1398724420\t12.250000\n1398725020\t12.060000\n1398725621\t12.060000\n1398726222\t11.940000\n1398726822\t11.880000\n1398727423\t11.620000\n1398728023\t11.500000\n1398728624\t11.250000\n1398729224\t11.190000\n1398729825\t11.060000\n1398730440\t10.940000\n1398731041\t10.810000\n1398731641\t10.810000\n1398732242\t10.690000\n1398732842\t10.500000\n1398733443\t10.310000\n1398734043\t10.190000\n1398734644\t9.940000\n1398735244\t9.880000\n1398735845\t9.880000\n1398736445\t9.690000\n1398737046\t9.560000\n1398737646\t9.440000\n1398738247\t9.380000\n1398738847\t9.380000\n1398739448\t9.310000\n1398740048\t9.120000\n1398740649\t8.940000\n1398741250\t9.060000\n1398741850\t9.120000\n1398742451\t9.060000\n1398743051\t9.250000\n1398743652\t9.380000\n1398744252\t9.940000\n1398744853\t9.810000\n1398745453\t9.560000\n1398746054\t9.750000\n1398746654\t9.750000\n1398747255\t9.940000\n1398747855\t10.250000\n1398748456\t10.380000\n1398749056\t10.380000\n1398749657\t10.440000\n1398750257\t10.690000\n1398750858\t10.940000\n1398751473\t11.190000\n1398752074\t11.560000\n1398752674\t11.750000\n1398753275\t11.880000\n1398753875\t11.880000\n1398754476\t12.250000\n1398755076\t12.690000\n1398755677\t13.190000\n1398756277\t13.560000\n1398756878\t13.620000\n1398757478\t13.750000\n1398758079\t13.810000\n1398758679\t14.190000\n1398759280\t14.500000\n1398759880\t14.880000\n1398760481\t15.560000\n1398761081\t15.560000\n1398761682\t15.750000\n1398762283\t15.940000\n1398762883\t16.060000\n1398763484\t16.190000\n1398764084\t16.120000\n1398764685\t16.310000\n1398765285\t16.810000\n1398765886\t16.190000\n1398766486\t16.810000\n1398767087\t16.810000\n1398767687\t15.880000\n1398768288\t16.190000\n1398768888\t16.060000\n1398769489\t16.250000\n1398770089\t16.060000\n1398770690\t16.000000\n1398771290\t16.190000\n1398771891\t15.500000\n1398772506\t16.120000\n1398773107\t16.000000\n1398773708\t16.250000\n1398774308\t15.380000\n1398774909\t15.000000\n1398775509\t14.560000\n1398776110\t14.750000\n1398776710\t14.620000\n1398777311\t14.440000\n1398777911\t14.120000\n1398778512\t13.880000\n1398779112\t13.620000\n1398779713\t13.190000\n1398780313\t13.060000\n1398780914\t13.310000\n1398781514\t13.310000\n1398782115\t13.190000\n1398782715\t13.190000\n1398783316\t13.250000\n1398783916\t14.060000\n1398784517\t13.620000\n1398785117\t13.500000\n1398785718\t13.190000\n1398786318\t13.500000\n1398786919\t13.060000\n1398787520\t12.750000\n1398788120\t12.380000\n1398788721\t12.060000\n1398789321\t11.620000\n1398789922\t11.250000\n1398790522\t10.940000\n1398791123\t10.310000\n1398791723\t10.310000\n1398792339\t9.940000\n1398792939\t9.940000\n1398793540\t9.620000\n1398794140\t10.000000\n1398794741\t10.120000\n1398795341\t10.120000\n1398795942\t10.120000\n1398796542\t10.190000\n1398797143\t9.940000\n1398797743\t10.000000\n1398798344\t10.000000\n1398798944\t9.880000\n1398799545\t9.620000\n1398800145\t9.500000\n1398800746\t9.310000\n1398801346\t9.310000\n1398801947\t9.310000\n1398802547\t9.190000\n1398803148\t9.250000\n1398803748\t8.380000\n1398804349\t8.440000\n1398804949\t8.440000\n1398805550\t8.310000\n1398806151\t8.190000\n1398806751\t7.750000\n1398807352\t7.380000\n1398807952\t7.500000\n1398808553\t7.380000\n1398809153\t7.380000\n1398809754\t7.190000\n1398810354\t7.000000\n1398810955\t6.810000\n1398811555\t6.810000\n1398812156\t6.750000\n1398812771\t6.560000\n1398813372\t6.560000\n1398813972\t5.440000\n1398814573\t5.750000\n1398815173\t5.750000\n1398815774\t5.810000\n1398816374\t5.750000\n1398816975\t5.620000\n1398817575\t5.500000\n1398818176\t5.250000\n1398818776\t5.310000\n1398819377\t4.810000\n1398819977\t4.810000\n1398820578\t4.810000\n1398821178\t4.810000\n1398821779\t4.310000\n1398822379\t4.310000\n1398822980\t4.560000\n1398823580\t4.500000\n1398824181\t4.380000\n1398824781\t4.560000\n1398825382\t4.440000\n1398825983\t4.440000\n1398826598\t4.440000\n1398827199\t4.440000\n1398827799\t4.380000\n1398828400\t4.500000\n1398829000\t4.620000\n1398829601\t4.620000\n1398830201\t4.810000\n1398830802\t4.940000\n1398831402\t5.120000\n1398832003\t5.310000\n1398832603\t5.500000\n1398833204\t5.620000\n1398833804\t5.750000\n1398834405\t6.060000\n1398835005\t6.380000\n1398835606\t6.620000\n1398836206\t6.750000\n1398836807\t6.750000\n1398837407\t7.000000\n1398838008\t6.940000\n1398838608\t7.250000\n1398839209\t7.440000\n1398839809\t7.750000\n1398840410\t7.690000\n1398841010\t7.940000\n1398841611\t8.120000\n1398842211\t8.500000\n1398842812\t8.690000\n1398843413\t9.000000\n1398844028\t9.120000\n1398844629\t9.620000\n1398845229\t9.690000\n1398845830\t10.120000\n1398846430\t10.310000\n1398847031\t10.560000\n1398847631\t10.690000\n1398848232\t11.060000\n1398848832\t11.310000\n1398849433\t10.940000\n1398850033\t11.060000\n1398850634\t11.120000\n1398851234\t11.880000\n1398851835\t10.880000\n1398852435\t11.060000\n1398853036\t12.120000\n1398853636\t12.310000\n1398854237\t12.560000\n1398854837\t12.690000\n1398855438\t13.190000\n1398856039\t13.310000\n1398856639\t13.190000\n1398857240\t13.190000\n1398857840\t14.000000\n1398858441\t13.620000\n1398859041\t12.810000\n1398859642\t12.940000\n1398860242\t13.880000\n1398860843\t14.380000\n1398861443\t13.880000\n1398862044\t13.250000\n1398862659\t13.880000\n1398863260\t13.560000\n1398863860\t13.310000\n1398864461\t13.500000\n1398865061\t13.880000\n1398865662\t13.880000\n1398866262\t13.500000\n1398866863\t13.440000\n1398867463\t14.310000\n1398868064\t13.620000\n1398868664\t13.440000\n1398869265\t13.190000\n1398869865\t13.060000\n1398870466\t13.000000\n1398871067\t12.750000\n1398871667\t12.690000\n1398872268\t13.120000\n1398872868\t12.940000\n1398873469\t12.560000\n1398874069\t12.440000\n1398874670\t12.060000\n1398875270\t12.060000\n1398875871\t11.880000\n1398876471\t12.940000\n1398877072\t11.690000\n1398877672\t11.120000\n1398878273\t10.940000\n1398878873\t11.060000\n1398879489\t10.940000\n1398880089\t10.750000\n1398880690\t10.440000\n1398881290\t10.190000\n1398881891\t9.810000\n1398882491\t6.190000\n1398883092\t6.120000\n1398883692\t6.120000\n1398884293\t5.940000\n1398884893\t6.250000\n1398885494\t6.190000\n1398886094\t5.620000\n1398886695\t5.500000\n1398887295\t5.690000\n1398887896\t5.750000\n1398888496\t5.880000\n1398889097\t5.380000\n1398889697\t5.190000\n1398890298\t4.690000\n1398890898\t4.190000\n1398891499\t3.810000\n1398892099\t3.880000\n1398892700\t3.500000\n1398893300\t3.250000\n1398893901\t2.940000\n1398894501\t2.750000\n1398895102\t2.750000\n1398895717\t2.690000\n1398896318\t2.750000\n1398896918\t2.940000\n1398897519\t2.940000\n1398898119\t3.250000\n1398898720\t3.000000\n1398899320\t2.810000\n1398899921\t2.620000\n1398900522\t2.810000\n1398901122\t2.750000\n1398901723\t2.750000\n1398902323\t2.690000\n1398902924\t2.560000\n1398903524\t2.690000\n1398904125\t2.560000\n1398904725\t2.440000\n1398905326\t2.380000\n1398905926\t2.310000\n1398906527\t2.380000\n1398907127\t2.250000\n1398907728\t2.190000\n1398908328\t2.250000\n1398908929\t2.250000\n1398909529\t2.250000\n1398910130\t2.380000\n1398910730\t2.620000\n1398911346\t2.560000\n1398911947\t2.440000\n1398912547\t2.560000\n1398913148\t2.440000\n1398913748\t2.440000\n1398914349\t2.380000\n1398914949\t2.310000\n1398915550\t2.440000\n1398916150\t2.310000\n1398916751\t2.380000\n1398917351\t2.500000\n1398917952\t2.560000\n1398918552\t2.500000\n1398919153\t2.560000\n1398919753\t2.620000\n1398920354\t2.750000\n1398920954\t2.940000\n1398921555\t3.000000\n1398922155\t3.120000\n1398922756\t3.190000\n1398923356\t3.440000\n1398923957\t3.620000\n1398924557\t3.880000\n1398925158\t3.810000\n1398925774\t3.880000\n1398926374\t4.120000\n1398926975\t4.310000\n1398927575\t4.380000\n1398928176\t4.560000\n1398928776\t4.250000\n1398929377\t4.810000\n1398929977\t4.620000\n1398930578\t5.060000\n1398931178\t5.000000\n1398931779\t5.440000\n1398932379\t6.000000\n1398932980\t5.380000\n1398933580\t5.250000\n1398934181\t5.380000\n1398934781\t6.310000\n1398935382\t6.060000\n1398935983\t7.120000\n1398936583\t7.000000\n1398937184\t6.060000\n1398937784\t6.500000\n1398938385\t6.940000\n1398938985\t6.620000\n1398939586\t6.500000\n1398940186\t6.880000\n1398940787\t6.880000\n1398941387\t6.190000\n1398941988\t6.310000\n1398942588\t7.190000\n1398943204\t7.250000\n1398943804\t7.310000\n1398944405\t7.440000\n1398945005\t7.500000\n1398945606\t6.880000\n1398946206\t7.560000\n1398946807\t8.500000\n1398947408\t8.190000\n1398948008\t7.250000\n1398948609\t8.380000\n1398949209\t8.880000\n1398949810\t7.810000\n1398950410\t9.060000\n1398951011\t8.810000\n1398951611\t8.000000\n1398952212\t8.940000\n1398952812\t8.560000\n1398953413\t8.310000\n1398954013\t7.880000\n1398954614\t8.940000\n1398955214\t9.310000\n1398955815\t9.380000\n1398956415\t9.190000\n1398957016\t9.190000\n1398957616\t9.620000\n1398958217\t10.000000\n1398958818\t10.380000\n1398959418\t9.560000\n1398960019\t9.940000\n1398960619\t11.250000\n1398961220\t12.380000\n1398961835\t11.310000\n1398962436\t10.690000\n1398963036\t12.190000\n1398963637\t11.560000\n1398964237\t10.880000\n1398964838\t10.310000\n1398965438\t10.000000\n1398966039\t9.060000\n1398966639\t8.620000\n1398967240\t8.810000\n1398967841\t8.880000\n1398968441\t8.810000\n1398969042\t8.250000\n1398969642\t7.560000\n1398970243\t7.190000\n1398970843\t6.500000\n1398971444\t6.000000\n1398972044\t6.060000\n1398972645\t5.880000\n1398973245\t5.750000\n1398973846\t5.500000\n1398974446\t5.190000\n1398975047\t5.000000\n1398975648\t4.620000\n1398976248\t4.440000\n1398976849\t4.060000\n1398977449\t3.750000\n1398978065\t3.500000\n1398978665\t3.250000\n1398979266\t2.810000\n1398979866\t2.750000\n1398980467\t2.620000\n1398981068\t2.560000\n1398981668\t2.440000\n1398982269\t2.440000\n1398982869\t2.310000\n1398983470\t2.440000\n1398984070\t2.440000\n1398984671\t2.250000\n1398985271\t2.000000\n1398985872\t1.880000\n1398986472\t1.810000\n1398987073\t1.810000\n1398987673\t1.690000\n1398988274\t1.690000\n1398988875\t1.560000\n1398989475\t1.690000\n1398990076\t1.620000\n1398990676\t1.190000\n1398991277\t1.560000\n1398991877\t1.500000\n1398992478\t1.380000\n1398993078\t1.250000\n1398993679\t1.250000\n1398994279\t1.560000\n1398994895\t1.690000\n1398995496\t1.560000\n1398996096\t1.440000\n1398996697\t0.940000\n1398997297\t0.940000\n1398997898\t1.060000\n1398998498\t1.120000\n1398999099\t1.000000\n1398999699\t0.440000\n1399000300\t0.560000\n1399000900\t0.380000\n1399001501\t0.440000\n1399002101\t0.560000\n1399002702\t0.560000\n1399003302\t0.310000\n1399003903\t0.560000\n1399004504\t0.940000\n1399005104\t1.120000\n1399005705\t1.310000\n1399006305\t1.810000\n1399006906\t2.190000\n1399007506\t2.310000\n1399008107\t2.750000\n1399008707\t3.000000\n1399009308\t3.250000\n1399009908\t3.560000\n1399010509\t3.810000\n1399011124\t4.120000\n1399011725\t4.440000\n1399012326\t4.940000\n1399012926\t5.190000\n1399013527\t5.560000\n1399014127\t5.690000\n1399014728\t6.000000\n1399015328\t6.310000\n1399015929\t6.690000\n1399016529\t6.880000\n1399017130\t7.060000\n1399017730\t7.310000\n1399018331\t7.440000\n1399018931\t7.500000\n1399019532\t7.690000\n1399020133\t8.060000\n1399020733\t8.690000\n1399021334\t8.190000\n1399021934\t8.750000\n1399022535\t8.880000\n1399023135\t8.940000\n1399023736\t9.190000\n1399024336\t9.750000\n1399024937\t9.250000\n1399025552\t9.120000\n1399026153\t9.690000\n1399026753\t9.310000\n1399027354\t9.690000\n1399027955\t9.880000\n1399028555\t9.940000\n1399029156\t9.690000\n1399029756\t9.810000\n1399030357\t9.810000\n1399030957\t10.250000\n1399031558\t10.880000\n1399032158\t10.690000\n1399032759\t10.690000\n1399033360\t10.690000\n1399033960\t10.620000\n1399034561\t11.250000\n1399035161\t11.880000\n1399035762\t12.060000\n1399036362\t10.940000\n1399036963\t10.500000\n1399037563\t11.060000\n1399038164\t10.310000\n1399038764\t10.380000\n1399039365\t11.250000\n1399039965\t11.500000\n1399040566\t11.250000\n1399041166\t10.750000\n1399041767\t10.310000\n1399042367\t11.060000\n1399042968\t11.250000\n1399043569\t11.810000\n1399044169\t11.000000\n1399044785\t11.190000\n1399045385\t10.560000\n1399045986\t10.190000\n1399046586\t10.190000\n1399047187\t10.190000\n1399047787\t10.250000\n1399048388\t10.310000\n1399048988\t10.310000\n1399049589\t10.380000\n1399050190\t10.250000\n1399050790\t10.440000\n1399051391\t10.560000\n1399051991\t10.380000\n1399052592\t10.060000\n1399053192\t9.750000\n1399053793\t9.560000\n1399054393\t9.380000\n1399054994\t9.060000\n1399055595\t8.940000\n1399056195\t8.750000\n1399056796\t8.440000\n1399057396\t8.380000\n1399057997\t8.310000\n1399058597\t8.310000\n1399059198\t8.000000\n1399059798\t7.560000\n1399060399\t7.500000\n1399060999\t7.310000\n1399061615\t7.120000\n1399062215\t7.060000\n1399062816\t6.810000\n1399063417\t6.620000\n1399064017\t6.120000\n1399064618\t5.750000\n1399065218\t5.380000\n1399065819\t5.380000\n1399066419\t5.440000\n1399067020\t5.380000\n1399067620\t5.310000\n1399068221\t5.190000\n1399068821\t4.690000\n1399069422\t4.560000\n1399070022\t4.380000\n1399070623\t4.060000\n1399071223\t4.000000\n1399071824\t4.310000\n1399072425\t3.940000\n1399073025\t3.940000\n1399073626\t3.810000\n1399074226\t4.250000\n1399074827\t4.440000\n1399075427\t4.190000\n1399076028\t4.120000\n1399076628\t4.190000\n1399077244\t4.000000\n1399077844\t3.880000\n1399078445\t4.060000\n1399079046\t4.120000\n1399079646\t3.810000\n1399080247\t3.940000\n1399080847\t4.060000\n1399081448\t4.000000\n1399082048\t3.620000\n1399082649\t3.750000\n1399083249\t3.750000\n1399083850\t3.750000\n1399084450\t3.380000\n1399085051\t3.310000\n1399085651\t3.560000\n1399086252\t3.440000\n1399086853\t3.310000\n1399087453\t3.250000\n1399088054\t3.120000\n1399088654\t2.560000\n1399089255\t2.440000\n1399089855\t2.190000\n1399090456\t3.000000\n1399091056\t2.750000\n1399091657\t2.690000\n1399092257\t2.940000\n1399092858\t3.310000\n1399093458\t3.000000\n1399094059\t3.560000\n1399094659\t4.000000\n1399095260\t4.500000\n1399095860\t4.620000\n1399096461\t5.250000\n1399097062\t5.810000\n1399097677\t5.940000\n1399098278\t6.000000\n1399098878\t6.250000\n1399099479\t6.690000\n1399100079\t7.000000\n1399100680\t7.060000\n1399101280\t7.310000\n1399101881\t8.060000\n1399102481\t8.250000\n1399103082\t8.440000\n1399103682\t8.620000\n1399104283\t9.250000\n1399104884\t8.940000\n1399105484\t9.500000\n1399106085\t9.190000\n1399106685\t8.880000\n1399107286\t9.310000\n1399107886\t9.880000\n1399108487\t9.560000\n1399109087\t10.060000\n1399109688\t10.440000\n1399110288\t10.500000\n1399110889\t11.250000\n1399111489\t11.310000\n1399112090\t11.190000\n1399112690\t11.000000\n1399113291\t10.560000\n1399113891\t10.560000\n1399114492\t10.690000\n1399115093\t10.250000\n1399115693\t10.440000\n1399116294\t10.880000\n1399116894\t10.750000\n1399117495\t10.750000\n1399118095\t11.380000\n1399118711\t11.560000\n1399119311\t11.750000\n1399119912\t11.310000\n1399120512\t12.120000\n1399121113\t12.250000\n1399121714\t12.500000\n1399122314\t12.310000\n1399122915\t12.060000\n1399123515\t11.750000\n1399124116\t12.060000\n1399124716\t11.880000\n1399125317\t11.500000\n1399125917\t11.250000\n1399126518\t11.310000\n1399127118\t11.250000\n1399127719\t10.690000\n1399128320\t10.000000\n1399128920\t9.750000\n1399129521\t10.120000\n1399130121\t10.690000\n1399130722\t10.810000\n1399131322\t11.120000\n1399131923\t10.810000\n1399132523\t10.250000\n1399133124\t9.940000\n1399133724\t9.880000\n1399134325\t9.880000\n1399134925\t10.250000\n1399135526\t10.250000\n1399136126\t10.060000\n1399136727\t10.250000\n1399137328\t10.440000\n1399137928\t10.620000\n1399138544\t10.060000\n1399139144\t10.500000\n1399139745\t9.810000\n1399140345\t9.380000\n1399140946\t9.190000\n1399141546\t9.060000\n1399142147\t8.690000\n1399142747\t8.380000\n1399143348\t8.190000\n1399143948\t7.940000\n1399144549\t7.750000\n1399145150\t7.620000\n1399145750\t7.440000\n1399146351\t7.440000\n1399146951\t7.380000\n1399147552\t7.000000\n1399148152\t6.880000\n1399148753\t6.620000\n1399149353\t6.380000\n1399149954\t6.120000\n1399150554\t5.120000\n1399151155\t4.940000\n1399151755\t4.560000\n1399152356\t4.560000\n1399152957\t4.620000\n1399153557\t4.690000\n1399154158\t4.810000\n1399154758\t5.190000\n1399155359\t5.310000\n1399155959\t5.310000\n1399156560\t5.190000\n1399157175\t5.190000\n1399157776\t5.060000\n1399158376\t5.000000\n1399158977\t4.810000\n1399159577\t4.690000\n1399160178\t4.620000\n1399160779\t4.500000\n1399161379\t4.440000\n1399161980\t4.250000\n1399162580\t4.000000\n1399163181\t3.880000\n1399163781\t3.690000\n1399164382\t3.690000\n1399164982\t3.620000\n1399165583\t3.380000\n1399166183\t3.190000\n1399166784\t3.190000\n1399167385\t3.120000\n1399167985\t3.120000\n1399168585\t3.000000\n1399169186\t2.940000\n1399169787\t2.750000\n1399170387\t2.690000\n1399170988\t2.500000\n1399171588\t2.380000\n1399172189\t2.310000\n1399172789\t2.440000\n1399173390\t2.380000\n1399173990\t2.310000\n1399174591\t2.250000\n1399175191\t2.120000\n1399175792\t2.250000\n1399176408\t2.310000\n1399177008\t2.380000\n1399177609\t2.440000\n1399178209\t2.620000\n1399178810\t2.750000\n1399179410\t2.880000\n1399180011\t2.940000\n1399180611\t3.190000\n1399181212\t3.250000\n1399181812\t3.500000\n1399182413\t3.750000\n1399183014\t3.940000\n1399183614\t4.190000\n1399184215\t4.620000\n1399184815\t5.000000\n1399185416\t5.000000\n1399186016\t5.250000\n1399186617\t5.750000\n1399187217\t5.880000\n1399187818\t6.250000\n1399188418\t6.380000\n1399189019\t6.690000\n1399189620\t6.690000\n1399190220\t6.560000\n1399190821\t7.060000\n1399191421\t7.060000\n1399192022\t7.250000\n1399192622\t7.620000\n1399193223\t7.500000\n1399193838\t8.190000\n1399194439\t8.000000\n1399195039\t8.250000\n1399195640\t8.810000\n1399196240\t9.120000\n1399196841\t9.250000\n1399197442\t9.380000\n1399198042\t9.310000\n1399198643\t10.000000\n1399199243\t10.000000\n1399199844\t10.500000\n1399200444\t10.120000\n1399201045\t9.620000\n1399201645\t9.190000\n1399202246\t8.810000\n1399202846\t9.500000\n1399203447\t9.880000\n1399204047\t10.310000\n1399204648\t10.810000\n1399205248\t10.560000\n1399205849\t9.500000\n1399206449\t10.000000\n1399207050\t10.250000\n1399207651\t10.380000\n1399208251\t9.250000\n1399208852\t10.190000\n1399209452\t10.500000\n1399210053\t10.560000\n1399210653\t10.500000\n1399211254\t9.750000\n1399211854\t9.810000\n1399212470\t10.250000\n1399213071\t10.060000\n1399213671\t10.750000\n1399214272\t11.500000\n1399214872\t11.560000\n1399215473\t10.380000\n1399216073\t9.940000\n1399216674\t10.190000\n1399217274\t11.000000\n1399217875\t11.060000\n1399218475\t10.440000\n1399219076\t9.880000\n1399219676\t9.690000\n1399220277\t10.440000\n1399220877\t14.310000\n1399221478\t15.500000\n1399222079\t13.310000\n1399222679\t11.620000\n1399223280\t11.000000\n1399223880\t10.250000\n1399224481\t9.940000\n1399225081\t10.310000\n1399225682\t9.750000\n1399226282\t9.120000\n1399226883\t8.810000\n1399227483\t8.500000\n1399228084\t8.120000\n1399228700\t7.940000\n1399229300\t7.810000\n1399229901\t7.620000\n1399230501\t7.500000\n1399231102\t7.380000\n1399231702\t6.810000\n1399232303\t6.560000\n1399232903\t6.000000\n1399233504\t5.880000\n1399234104\t5.620000\n1399234705\t5.690000\n1399235305\t5.120000\n1399235906\t5.310000\n1399236506\t5.250000\n1399237107\t5.120000\n1399237708\t5.190000\n1399238308\t4.880000\n1399238909\t4.940000\n1399239509\t4.750000\n1399240110\t4.690000\n1399240710\t4.380000\n1399241311\t2.690000\n1399241911\t3.190000\n1399242512\t3.120000\n1399243112\t3.060000\n1399243713\t3.310000\n1399244328\t3.440000\n1399244929\t3.190000\n1399245529\t3.190000\n1399246130\t3.000000\n1399246731\t2.250000\n1399247331\t2.190000\n1399247932\t1.440000\n1399248532\t1.250000\n1399249133\t1.620000\n1399249733\t1.810000\n1399250334\t1.750000\n1399250934\t1.940000\n1399251535\t1.690000\n1399252135\t0.560000\n1399252736\t0.060000\n1399253337\t0.500000\n1399253937\t0.620000\n1399254538\t1.120000\n1399255138\t1.250000\n1399255739\t1.190000\n1399256339\t1.190000\n1399256940\t1.120000\n1399257540\t1.000000\n1399258141\t0.940000\n1399258741\t0.880000\n1399259342\t0.940000\n1399259942\t0.810000\n1399260543\t0.750000\n1399261144\t0.880000\n1399261744\t0.310000\n1399262345\t0.560000\n1399262960\t0.750000\n1399263561\t0.620000\n1399264161\t0.880000\n1399264762\t0.560000\n1399265362\t0.620000\n1399265963\t1.000000\n1399266563\t1.310000\n1399267164\t1.750000\n1399267764\t2.190000\n1399268365\t2.560000\n1399268965\t3.190000\n1399269566\t3.620000\n1399270166\t4.060000\n1399270767\t4.560000\n1399271367\t5.120000\n1399271968\t5.690000\n1399272569\t6.380000\n1399273169\t7.190000\n1399273770\t8.000000\n1399274370\t7.940000\n1399274971\t8.380000\n1399275571\t7.940000\n1399276172\t8.190000\n1399276772\t8.940000\n1399277373\t9.440000\n1399277973\t9.620000\n1399278574\t9.810000\n1399279174\t10.190000\n1399279775\t10.880000\n1399280375\t11.120000\n1399280844\t11.120000\n1399280909\t11.120000\n1399284145\t11.120000\n1399284202\t11.120000\n1399284605\t11.120000\n1399285236\t12.250000\n1399285426\t12.250000\n1399286057\t12.620000\n1399286657\t12.380000\n1399287025\t12.380000\n1399287655\t12.310000\n1399288256\t12.810000\n1399288856\t11.380000\n1399289457\t11.310000\n1399290057\t12.250000\n1399290658\t12.380000\n1399291258\t11.810000\n1399291859\t12.500000\n1399292459\t12.310000\n1399293060\t11.620000\n1399293660\t12.380000\n1399294261\t12.310000\n1399294862\t11.940000\n1399295462\t12.810000\n1399296063\t13.190000\n1399296663\t12.190000\n1399297279\t12.940000\n1399297879\t12.560000\n1399298480\t13.120000\n1399299080\t12.690000\n1399299681\t13.560000\n1399300281\t13.620000\n1399300882\t12.560000\n1399301482\t12.310000\n1399302083\t13.120000\n1399302683\t12.440000\n1399303284\t12.060000\n1399303885\t12.120000\n1399304485\t11.560000\n1399305086\t13.120000\n1399305688\t13.310000\n1399306289\t13.750000\n1399306890\t16.250000\n1399307490\t17.190000\n1399308091\t17.060000\n1399308691\t14.060000\n1399309292\t12.440000\n1399309892\t10.880000\n1399310493\t10.310000\n1399311093\t10.120000\n1399311694\t10.560000\n1399312294\t10.620000\n1399312895\t9.940000\n1399313495\t9.500000\n1399314096\t9.250000\n1399314697\t9.120000\n1399315297\t8.750000\n1399315898\t8.250000\n1399316498\t8.000000\n1399317099\t7.810000\n1399317699\t7.560000\n1399318300\t7.190000\n1399318900\t6.940000\n1399319501\t6.750000\n1399320101\t6.690000\n1399320702\t6.500000\n1399321302\t6.060000\n1399321918\t5.940000\n1399322518\t5.940000\n1399323119\t6.000000\n1399323719\t5.750000\n1399324320\t5.750000\n1399324920\t5.500000\n1399325521\t5.120000\n1399326121\t5.060000\n1399326722\t4.880000\n1399327323\t5.060000\n1399327923\t5.380000\n1399328524\t5.500000\n1399329124\t5.440000\n1399329725\t5.380000\n1399330325\t5.190000\n1399330926\t5.190000\n1399331526\t5.120000\n1399332127\t5.120000\n1399332727\t5.060000\n1399333328\t4.880000\n1399333928\t5.000000\n1399334529\t5.000000\n1399335129\t4.880000\n1399335730\t4.880000\n1399336330\t4.940000\n1399336931\t4.940000\n1399337532\t4.940000\n1399338132\t5.000000\n1399338733\t4.880000\n1399339333\t4.560000\n1399339934\t4.620000\n1399340534\t4.620000\n1399341135\t4.690000\n1399341735\t4.810000\n1399342351\t4.750000\n1399342951\t4.810000\n1399343552\t4.810000\n1399344152\t4.750000\n1399344753\t4.810000\n1399345353\t4.880000\n1399345954\t4.940000\n1399346554\t5.000000\n1399347155\t5.000000\n1399347755\t5.060000\n1399348356\t5.190000\n1399348956\t5.250000\n1399349557\t5.380000\n1399350157\t5.500000\n1399350758\t5.620000\n1399351359\t5.810000\n1399351959\t6.000000\n1399352560\t6.060000\n1399353160\t6.250000\n1399353761\t6.380000\n1399354361\t6.750000\n1399354962\t6.940000\n1399355562\t6.940000\n1399356163\t6.940000\n1399356763\t7.120000\n1399357364\t7.380000\n1399357964\t7.560000\n1399358565\t7.750000\n1399359165\t8.060000\n1399359766\t8.440000\n1399360366\t8.690000\n1399360967\t8.750000\n1399361567\t9.120000\n1399362183\t9.620000\n1399362783\t9.690000\n1399363384\t9.560000\n1399363985\t9.310000\n1399364585\t9.250000\n1399365186\t9.060000\n1399365786\t8.750000\n1399366387\t8.190000\n1399366987\t7.810000\n1399367588\t7.810000\n1399368188\t8.120000\n1399368789\t8.190000\n1399369389\t8.120000\n1399369990\t8.060000\n1399370590\t8.060000\n1399371191\t8.120000\n1399371792\t8.440000\n1399372392\t8.750000\n1399372993\t8.940000\n1399373593\t9.120000\n1399374194\t9.560000\n1399374794\t9.620000\n1399375395\t9.940000\n1399375995\t10.250000\n1399376596\t10.120000\n1399377196\t10.000000\n1399377797\t9.940000\n1399378398\t10.250000\n1399378998\t10.120000\n1399379122\t10.120000\n1399379737\t9.810000\n1399380338\t9.690000\n1399380938\t9.750000\n1399381539\t9.620000\n1399382140\t9.560000\n1399382740\t9.880000\n1399383341\t9.880000\n1399383941\t9.750000\n1399384542\t9.620000\n1399385142\t9.250000\n1399385743\t9.120000\n1399386343\t8.940000\n1399386944\t8.750000\n1399387544\t8.500000\n1399388145\t7.940000\n1399388745\t8.060000\n1399389346\t7.940000\n1399389947\t7.810000\n1399390547\t7.690000\n1399391148\t7.690000\n1399391748\t7.620000\n1399392349\t7.560000\n1399392949\t7.310000\n1399393550\t7.000000\n1399394150\t6.940000\n1399394751\t6.940000\n1399395351\t6.880000\n1399395952\t6.810000\n1399396552\t6.690000\n1399397153\t6.560000\n1399397768\t6.440000\n1399398369\t6.380000\n1399398969\t6.310000\n1399399570\t6.190000\n1399400171\t6.000000\n1399400771\t5.880000\n1399401372\t5.500000\n1399401972\t5.310000\n1399402573\t5.250000\n1399403173\t5.190000\n1399403774\t5.060000\n1399404374\t4.940000\n1399404975\t4.810000\n1399405575\t4.690000\n1399406176\t4.620000\n1399406776\t4.500000\n1399407377\t4.380000\n1399407977\t4.310000\n1399408578\t4.190000\n1399409179\t4.250000\n1399409779\t4.120000\n1399410380\t4.000000\n1399410980\t4.000000\n1399411581\t4.060000\n1399412181\t4.000000\n1399412782\t3.940000\n1399413382\t4.000000\n1399413983\t3.940000\n1399414583\t3.940000\n1399415184\t3.750000\n1399415784\t3.810000\n1399416385\t3.750000\n1399416986\t3.750000\n1399417586\t3.810000\n1399418187\t3.750000\n1399418802\t3.750000\n1399419403\t3.880000\n1399420003\t3.880000\n1399420604\t3.810000\n1399421204\t3.690000\n1399421805\t3.750000\n1399422405\t3.690000\n1399423006\t3.620000\n1399423606\t3.620000\n1399424207\t3.690000\n1399424807\t3.690000\n1399425408\t3.620000\n1399426009\t3.620000\n1399426609\t3.620000\n1399427210\t3.620000\n1399427810\t3.560000\n1399428411\t3.560000\n1399429011\t3.560000\n1399429612\t3.560000\n1399430212\t3.560000\n1399430813\t3.500000\n1399431413\t3.560000\n1399432014\t3.560000\n1399432614\t3.560000\n1399433215\t3.500000\n1399433815\t3.500000\n1399434416\t3.500000\n1399435017\t3.440000\n1399435617\t3.440000\n1399436233\t3.380000\n1399436833\t3.380000\n1399437434\t3.440000\n1399438034\t3.440000\n1399438635\t3.500000\n1399439235\t3.560000\n1399439836\t3.560000\n1399440436\t3.620000\n1399441037\t3.620000\n1399441637\t3.620000\n1399442238\t3.750000\n1399442839\t3.750000\n1399443439\t3.880000\n1399444040\t3.880000\n1399444640\t3.940000\n1399445241\t4.060000\n1399445841\t4.120000\n1399446442\t4.060000\n1399447042\t4.060000\n1399447643\t4.060000\n1399448243\t4.060000\n1399448844\t4.060000\n1399449445\t4.250000\n1399450045\t4.190000\n1399450646\t4.190000\n1399451246\t4.190000\n1399451847\t4.120000\n1399452447\t4.250000\n1399453063\t4.190000\n1399453663\t4.190000\n1399454264\t4.250000\n1399454864\t4.380000\n1399455465\t4.500000\n1399456065\t4.560000\n1399456666\t4.690000\n1399457267\t4.750000\n1399457867\t4.810000\n1399458468\t4.880000\n1399459068\t4.940000\n1399459669\t4.940000\n1399460269\t4.940000\n1399460870\t5.000000\n1399461470\t5.000000\n1399462071\t5.000000\n1399462671\t4.940000\n1399463272\t4.940000\n1399463873\t4.880000\n1399464473\t4.940000\n1399465074\t5.000000\n1399465674\t5.000000\n1399466275\t5.060000\n1399466875\t5.120000\n1399467476\t5.190000\n1399468076\t5.310000\n1399468677\t5.380000\n1399469278\t5.440000\n1399469878\t5.440000\n1399470479\t5.560000\n1399471094\t5.620000\n1399471695\t5.620000\n1399472295\t5.690000\n1399472896\t5.750000\n1399473496\t5.750000\n1399474097\t5.750000\n1399474697\t5.810000\n1399475298\t5.880000\n1399475898\t5.880000\n1399476499\t5.880000\n1399477099\t5.940000\n1399477700\t5.940000\n1399478301\t5.940000\n1399478901\t5.880000\n1399479502\t5.880000\n1399480102\t5.880000\n1399480703\t5.880000\n1399481303\t5.880000\n1399481904\t5.880000\n1399482504\t5.880000\n1399483105\t5.940000\n1399483705\t5.940000\n1399484306\t5.940000\n1399484906\t5.940000\n1399485507\t5.940000\n1399486107\t5.940000\n1399486708\t5.940000\n1399487308\t5.940000\n1399487924\t5.880000\n1399488525\t5.940000\n1399489125\t5.880000\n1399489726\t5.880000\n1399490326\t5.880000\n1399490927\t5.880000\n1399491527\t5.880000\n1399492128\t5.880000\n1399492728\t5.880000\n1399493329\t5.880000\n1399493929\t5.810000\n1399494530\t5.810000\n1399495130\t5.880000\n1399495731\t5.810000\n1399496331\t5.810000\n1399496932\t5.810000\n1399497532\t5.750000\n1399498133\t5.750000\n1399498734\t5.690000\n1399499334\t5.750000\n1399499935\t5.690000\n1399500535\t5.690000\n1399501136\t5.690000\n1399501736\t5.690000\n1399502337\t5.690000\n1399502952\t5.620000\n1399503553\t5.620000\n1399504153\t5.620000\n1399504754\t5.620000\n1399505354\t5.620000\n1399505955\t5.560000\n1399506556\t5.500000\n1399507156\t5.440000\n1399507757\t5.440000\n1399508357\t5.310000\n1399508958\t5.250000\n1399509558\t5.190000\n1399510159\t5.190000\n1399510759\t5.060000\n1399511360\t4.940000\n1399511960\t4.880000\n1399512561\t4.810000\n1399513161\t4.810000\n1399513762\t4.750000\n1399514362\t4.620000\n1399514963\t4.560000\n1399515563\t4.500000\n1399516164\t4.440000\n1399516765\t4.500000\n1399517365\t4.440000\n1399517966\t4.440000\n1399518566\t4.440000\n1399519167\t4.500000\n1399519767\t4.560000\n1399520368\t4.560000\n1399520968\t4.560000\n1399521584\t4.560000\n1399522185\t4.560000\n1399522785\t4.500000\n1399523386\t4.560000\n1399523986\t4.560000\n1399524587\t4.560000\n1399525187\t4.620000\n1399525788\t4.690000\n1399526388\t4.750000\n1399526989\t4.880000\n1399527589\t5.060000\n1399528190\t5.120000\n1399528790\t5.190000\n1399529391\t5.190000\n1399529991\t5.250000\n1399530592\t5.440000\n1399531192\t5.500000\n1399531793\t5.620000\n1399532394\t5.690000\n1399532994\t5.750000\n1399533595\t5.880000\n1399534195\t6.060000\n1399534796\t6.060000\n1399535396\t6.120000\n1399535997\t6.060000\n1399536597\t6.120000\n1399537198\t6.120000\n1399537798\t6.250000\n1399538414\t6.250000\n1399539014\t6.310000\n1399539615\t6.250000\n1399540216\t6.310000\n1399540816\t6.380000\n1399541417\t6.620000\n1399542017\t6.880000\n1399542618\t6.940000\n1399543218\t6.940000\n1399543819\t7.120000\n1399544419\t7.120000\n1399545020\t7.060000\n1399545620\t6.940000\n1399546221\t7.120000\n1399546821\t7.310000\n1399547422\t7.310000\n1399548022\t7.310000\n1399548623\t7.560000\n1399549224\t7.880000\n1399549824\t7.940000\n1399550425\t8.120000\n1399551025\t8.310000\n1399551626\t8.250000\n1399552226\t8.060000\n1399552827\t8.060000\n1399553427\t8.000000\n1399554028\t7.940000\n1399554628\t8.250000\n1399555229\t8.440000\n1399555829\t9.000000\n1399556430\t9.190000\n1399557046\t9.250000\n1399557646\t9.000000\n1399558247\t8.940000\n1399558847\t8.940000\n1399559448\t8.880000\n1399560048\t8.880000\n1399560649\t9.000000\n1399561249\t9.000000\n1399561850\t9.120000\n1399562450\t9.060000\n1399563051\t8.620000\n1399563651\t8.620000\n1399564252\t8.880000\n1399564852\t8.880000\n1399565453\t8.560000\n1399566053\t8.380000\n1399566654\t8.250000\n1399567254\t8.060000\n1399567855\t8.000000\n1399568456\t8.120000\n1399569056\t8.190000\n1399569657\t8.190000\n1399570257\t8.060000\n1399570858\t8.000000\n1399571458\t7.880000\n1399572059\t7.690000\n1399572659\t7.560000\n1399573260\t7.380000\n1399573860\t7.250000\n1399574461\t7.190000\n1399575061\t7.120000\n1399575677\t7.060000\n1399576277\t7.000000\n1399576878\t6.940000\n1399577478\t6.880000\n1399578079\t6.810000\n1399578680\t6.810000\n1399579280\t6.750000\n1399579881\t6.690000\n1399580481\t6.690000\n1399581082\t6.690000\n1399581682\t6.690000\n1399582283\t6.620000\n1399582883\t6.620000\n1399583484\t6.620000\n1399584084\t6.560000\n1399584685\t6.560000\n1399585285\t6.560000\n1399585886\t6.500000\n1399586486\t6.500000\n1399587087\t6.500000\n1399587688\t6.500000\n1399588288\t6.500000\n1399588889\t6.500000\n1399589489\t6.500000\n1399590090\t6.380000\n1399590690\t6.380000\n1399591291\t6.380000\n1399591891\t6.380000\n1399592507\t6.380000\n1399593107\t6.380000\n1399593708\t6.380000\n1399594308\t6.380000\n1399594909\t6.380000\n1399595509\t6.440000\n1399596110\t6.440000\n1399596710\t6.440000\n1399597311\t6.440000\n1399597912\t6.440000\n1399598512\t6.440000\n1399599113\t6.440000\n1399599713\t6.440000\n1399600314\t6.500000\n1399600914\t6.500000\n1399601515\t6.500000\n1399602115\t6.560000\n1399602716\t6.560000\n1399603316\t6.560000\n1399603917\t6.560000\n1399604517\t6.560000\n1399605118\t6.560000\n1399605719\t6.560000\n1399606319\t6.560000\n1399606920\t6.560000\n1399607520\t6.620000\n1399608121\t6.620000\n1399608721\t6.690000\n1399609322\t6.690000\n1399609937\t6.750000\n1399610538\t6.880000\n1399611138\t6.940000\n1399611739\t7.000000\n1399612339\t7.060000\n1399612940\t7.250000\n1399613541\t7.440000\n1399614141\t7.440000\n1399614742\t7.440000\n1399615342\t7.500000\n1399615943\t7.500000\n1399616543\t7.560000\n1399617144\t7.620000\n1399617744\t7.620000\n1399618345\t7.620000\n1399618945\t7.690000\n1399619546\t7.810000\n1399620146\t7.880000\n1399620747\t7.880000\n1399621347\t7.880000\n1399621948\t7.880000\n1399622548\t7.940000\n1399623149\t7.810000\n1399623749\t7.750000\n1399624350\t7.750000\n1399624950\t7.880000\n1399625551\t8.120000\n1399626152\t8.310000\n1399626752\t8.880000\n1399627353\t8.810000\n1399627953\t8.940000\n1399628569\t9.060000\n1399629169\t9.120000\n1399629770\t9.440000\n1399630370\t9.380000\n1399630971\t9.620000\n1399631571\t9.250000\n1399632172\t8.940000\n1399632773\t8.690000\n1399633373\t8.690000\n1399633974\t8.880000\n1399634574\t9.120000\n1399635174\t9.250000\n1399635775\t9.500000\n1399636376\t10.190000\n1399636976\t10.060000\n1399637577\t9.750000\n1399638177\t9.810000\n1399638778\t10.380000\n1399639378\t10.190000\n1399639979\t10.060000\n1399640579\t10.250000\n1399641180\t10.120000\n1399641780\t11.250000\n1399642381\t10.120000\n1399642982\t10.500000\n1399643582\t11.190000\n1399644183\t11.690000\n1399644783\t11.940000\n1399645399\t11.190000\n1399645999\t11.190000\n1399646600\t11.000000\n1399647200\t11.310000\n1399647801\t12.060000\n1399648401\t11.690000\n1399649002\t11.310000\n1399649602\t12.250000\n1399650203\t11.750000\n1399650803\t11.880000\n1399651404\t13.440000\n1399652004\t14.440000\n1399652605\t13.000000\n1399653206\t11.690000\n1399653806\t11.000000\n1399654407\t10.810000\n1399655007\t12.560000\n1399655608\t13.440000\n1399656208\t13.310000\n1399656809\t11.500000\n1399657409\t10.880000\n1399658010\t10.380000\n1399658610\t10.120000\n1399659211\t10.000000\n1399659811\t9.620000\n1399660412\t9.310000\n1399661012\t9.120000\n1399661613\t8.810000\n1399662214\t8.620000\n1399662829\t8.560000\n1399663430\t8.500000\n1399664030\t8.440000\n1399664631\t8.500000\n1399665231\t8.500000\n1399665832\t8.500000\n1399666432\t8.440000\n1399667033\t8.310000\n1399667633\t8.310000\n1399668234\t8.310000\n1399668834\t8.250000\n1399669435\t8.310000\n1399670035\t8.310000\n1399670636\t8.310000\n1399671237\t8.190000\n1399671837\t8.120000\n1399672438\t8.060000\n1399673038\t8.060000\n1399673639\t8.120000\n1399674239\t8.120000\n1399674840\t8.190000\n1399675440\t8.120000\n1399676041\t8.120000\n1399676641\t8.120000\n1399677242\t8.120000\n1399677842\t8.120000\n1399678443\t8.060000\n1399679043\t8.060000\n1399679644\t8.000000\n1399680244\t8.000000\n1399680860\t8.000000\n1399681460\t7.940000\n1399682061\t7.940000\n1399682661\t7.810000\n1399683262\t7.750000\n1399683862\t7.690000\n1399684463\t7.620000\n1399685063\t7.620000\n1399685664\t7.620000\n1399686264\t7.690000\n1399686865\t7.560000\n1399687466\t7.560000\n1399688066\t7.560000\n1399688667\t7.560000\n1399689267\t7.560000\n1399689868\t7.560000\n1399690468\t7.560000\n1399691069\t7.560000\n1399691669\t7.620000\n1399692270\t7.690000\n1399692870\t7.620000\n1399693471\t7.690000\n1399694071\t7.810000\n1399694672\t7.880000\n1399695272\t7.880000\n1399695873\t7.940000\n1399696473\t8.000000\n1399697074\t8.060000\n1399697675\t8.060000\n1399698290\t8.120000\n1399698891\t8.120000\n1399699491\t8.120000\n1399700092\t8.120000\n1399700692\t8.250000\n1399701293\t8.380000\n1399701893\t8.440000\n1399702494\t8.500000\n1399703094\t8.560000\n1399703695\t8.810000\n1399704295\t9.310000\n1399704896\t9.380000\n1399705496\t9.310000\n1399706097\t9.120000\n1399706698\t9.000000\n1399707298\t9.060000\n1399707899\t9.250000\n1399708499\t9.310000\n1399709100\t9.380000\n1399709700\t9.690000\n1399710301\t9.560000\n1399710901\t9.810000\n1399711502\t9.810000\n1399712102\t9.940000\n1399712703\t10.000000\n1399713304\t10.000000\n1399713904\t10.120000\n1399714505\t9.880000\n1399715105\t9.810000\n1399715706\t9.810000\n1399716306\t10.250000\n1399716907\t10.500000\n1399717522\t10.560000\n1399718123\t10.380000\n1399718723\t10.500000\n1399719324\t10.880000\n1399719924\t10.940000\n1399720525\t11.060000\n1399721126\t11.560000\n1399721726\t12.060000\n1399722327\t11.690000\n1399722927\t11.190000\n1399723528\t11.560000\n1399724128\t11.880000\n1399724729\t11.940000\n1399725329\t11.880000\n1399725930\t11.810000\n1399726530\t11.560000\n1399727131\t11.500000\n1399727731\t11.310000\n1399728332\t11.190000\n1399728932\t11.440000\n1399729533\t11.560000\n1399730134\t11.940000\n1399730734\t12.750000\n1399731335\t11.940000\n1399731935\t12.000000\n1399732536\t12.560000\n1399733136\t12.250000\n1399733737\t12.060000\n1399734337\t11.750000\n1399734953\t11.750000\n1399735553\t11.750000\n1399736154\t11.560000\n1399736754\t11.380000\n1399737355\t11.500000\n1399737956\t11.690000\n1399738556\t12.060000\n1399739157\t11.380000\n1399739757\t10.940000\n1399740358\t10.750000\n1399740958\t10.560000\n1399741559\t10.440000\n1399742159\t10.310000\n1399742760\t10.380000\n1399743360\t10.940000\n1399743961\t11.190000\n1399744561\t10.500000\n1399745162\t10.120000\n1399745762\t9.880000\n1399746363\t9.560000\n1399746964\t9.250000\n1399747564\t9.000000\n1399748165\t8.880000\n1399748765\t8.690000\n1399749366\t8.500000\n1399749981\t8.380000\n1399750582\t8.250000\n1399751182\t8.190000\n1399751783\t8.060000\n1399752383\t7.940000\n1399752984\t8.000000\n1399753584\t7.880000\n1399754185\t7.810000\n1399754786\t7.690000\n1399755386\t7.690000\n1399755987\t7.810000\n1399756587\t7.690000\n1399757188\t7.750000\n1399757788\t7.810000\n1399758389\t7.690000\n1399758989\t7.560000\n1399759590\t7.380000\n1399760190\t7.060000\n1399760791\t6.940000\n1399761391\t6.810000\n1399761992\t6.940000\n1399762592\t7.060000\n1399763193\t7.190000\n1399763793\t7.310000\n1399764394\t7.310000\n1399764994\t7.310000\n1399765595\t7.440000\n1399766195\t7.440000\n1399766796\t7.440000\n1399767412\t7.440000\n1399768012\t7.500000\n1399768613\t7.560000\n1399769213\t7.620000\n1399769814\t7.690000\n1399770414\t7.750000\n1399771015\t7.750000\n1399771615\t7.750000\n1399772216\t7.810000\n1399772816\t7.880000\n1399773417\t7.880000\n1399774017\t7.880000\n1399774618\t7.880000\n1399775218\t7.880000\n1399775819\t7.880000\n1399776420\t7.940000\n1399777020\t7.940000\n1399777621\t7.940000\n1399778221\t7.940000\n1399778822\t7.940000\n1399779422\t8.060000\n1399780023\t8.060000\n1399780623\t8.060000\n1399781224\t8.060000\n1399781824\t8.060000\n1399782425\t8.120000\n1399783025\t8.120000\n1399783626\t8.190000\n1399784226\t8.250000\n1399784827\t8.310000\n1399785427\t8.310000\n1399786028\t8.440000\n1399786628\t8.500000\n1399787229\t8.560000\n1399787844\t8.620000\n1399788445\t8.810000\n1399789046\t9.000000\n1399789646\t9.000000\n1399790247\t8.880000\n1399790847\t8.880000\n1399791448\t8.880000\n1399792048\t8.810000\n1399792649\t9.000000\n1399793249\t9.060000\n1399793850\t9.000000\n1399794450\t9.000000\n1399795051\t8.940000\n1399795652\t9.060000\n1399796252\t9.060000\n1399796853\t8.940000\n1399797453\t8.940000\n1399798054\t9.000000\n1399798654\t9.120000\n1399799255\t9.120000\n1399799855\t9.250000\n1399800456\t9.310000\n1399801056\t9.380000\n1399801657\t9.500000\n1399802257\t9.750000\n1399802858\t9.810000\n1399803458\t9.690000\n1399804059\t9.620000\n1399804659\t9.440000\n1399805260\t9.440000\n1399805860\t9.500000\n1399806476\t9.560000\n1399807076\t9.560000\n1399807677\t9.620000\n1399808278\t9.560000\n1399808878\t9.750000\n1399809478\t9.620000\n1399810079\t9.880000\n1399810680\t9.940000\n1399811280\t10.000000\n1399811881\t9.880000\n1399812481\t9.750000\n1399813082\t9.690000\n1399813682\t9.620000\n1399814283\t9.620000\n1399814883\t9.940000\n1399815484\t10.120000\n1399816084\t10.120000\n1399816685\t10.060000\n1399817285\t9.880000\n1399817886\t10.000000\n1399818487\t10.120000\n1399819087\t10.250000\n1399819688\t10.060000\n1399820288\t9.810000\n1399820889\t10.000000\n1399821489\t10.120000\n1399822090\t10.120000\n1399822705\t10.250000\n1399823306\t10.250000\n1399823906\t10.120000\n1399824507\t9.880000\n1399825107\t9.810000\n1399825708\t9.750000\n1399826308\t9.620000\n1399826909\t9.560000\n1399827510\t9.560000\n1399828110\t9.560000\n1399828711\t9.500000\n1399829311\t9.500000\n1399829912\t9.500000\n1399830512\t9.440000\n1399831113\t9.380000\n1399831713\t9.310000\n1399832314\t9.250000\n1399832914\t9.190000\n1399833515\t9.190000\n1399834116\t9.060000\n1399834716\t9.000000\n1399835317\t9.000000\n1399835917\t8.940000\n1399836518\t8.940000\n1399837118\t8.880000\n1399837719\t8.880000\n1399838319\t8.810000\n1399838920\t8.810000\n1399839520\t8.750000\n1399840121\t8.750000\n1399840721\t8.690000\n1399841322\t8.690000\n1399841938\t8.690000\n1399842538\t8.690000\n1399843139\t8.690000\n1399843739\t8.690000\n1399844340\t8.690000\n1399844940\t8.690000\n1399845541\t8.620000\n1399846141\t8.620000\n1399846742\t8.560000\n1399847342\t8.560000\n1399847943\t8.560000\n1399848543\t8.560000\n1399849144\t8.500000\n1399849744\t8.500000\n1399850345\t8.440000\n1399850945\t8.440000\n1399851546\t8.380000\n1399852147\t8.380000\n1399852747\t8.380000\n1399853348\t8.380000\n1399853948\t8.380000\n1399854549\t8.380000\n1399855149\t8.380000\n1399855750\t8.380000\n1399856350\t8.380000\n1399856951\t8.310000\n1399857551\t8.310000\n1399858152\t8.310000\n1399858752\t8.250000\n1399859353\t8.250000\n1399859969\t8.250000\n1399860569\t8.190000\n1399861170\t8.190000\n1399861770\t8.190000\n1399862371\t8.190000\n1399862971\t8.190000\n1399863572\t8.120000\n1399864172\t8.120000\n1399864773\t8.120000\n1399865373\t8.120000\n1399865974\t8.060000\n1399866574\t8.060000\n1399867175\t8.060000\n1399867775\t8.060000\n1399868376\t8.060000\n1399868976\t8.060000\n1399869577\t8.060000\n1399870177\t8.120000\n1399870778\t8.120000\n1399871379\t8.120000\n1399871979\t8.120000\n1399872580\t8.190000\n1399873180\t8.250000\n1399873781\t8.380000\n1399874381\t8.310000\n1399874982\t8.380000\n1399875582\t8.380000\n1399876183\t8.500000\n1399876783\t8.620000\n1399877384\t8.690000\n1399877999\t8.500000\n1399878600\t8.560000\n1399879200\t8.620000\n1399879801\t8.690000\n1399880401\t8.880000\n1399881002\t9.060000\n1399881602\t9.190000\n1399882203\t9.440000\n1399882804\t9.690000\n1399883404\t9.690000\n1399884005\t9.690000\n1399884605\t9.440000\n1399885206\t9.380000\n1399885806\t9.440000\n1399886407\t9.560000\n1399887007\t9.500000\n1399887608\t9.440000\n1399888208\t9.440000\n1399888809\t9.380000\n1399889410\t9.380000\n1399890010\t9.380000\n1399890611\t9.380000\n1399891211\t9.500000\n1399891812\t9.500000\n1399892412\t9.690000\n1399893013\t9.690000\n1399893613\t9.750000\n1399894214\t10.060000\n1399894814\t10.000000\n1399895415\t10.060000\n1399896015\t9.940000\n1399896631\t10.060000\n1399897232\t9.940000\n1399897832\t9.880000\n1399898433\t10.000000\n1399899033\t10.310000\n1399899634\t10.190000\n1399900234\t10.060000\n1399900835\t10.060000\n1399901435\t10.190000\n1399902036\t10.310000\n1399902637\t10.380000\n1399903237\t10.310000\n1399903838\t10.190000\n1399904438\t10.190000\n1399905039\t10.190000\n1399905639\t10.310000\n1399906240\t10.250000\n1399906840\t10.190000\n1399907441\t10.310000\n1399908041\t10.380000\n1399908642\t10.310000\n1399909242\t10.250000\n1399909843\t10.190000\n1399910444\t10.190000\n1399911044\t10.380000\n1399911645\t10.500000\n1399912245\t10.310000\n1399912846\t10.310000\n1399913446\t10.190000\n1399914047\t10.120000\n1399914662\t10.060000\n1399915263\t10.000000\n1399915864\t10.000000\n1399916464\t10.000000\n1399917065\t9.940000\n1399917665\t9.940000\n1399918266\t9.940000\n1399918866\t9.810000\n1399919467\t9.810000\n1399920067\t9.750000\n1399920668\t9.690000\n1399921268\t9.620000\n1399921869\t9.560000\n1399922469\t9.500000\n1399923070\t9.440000\n1399923671\t9.380000\n1399924271\t9.380000\n1399924871\t9.380000\n1399925472\t9.250000\n1399926073\t9.250000\n1399926673\t9.250000\n1399927274\t9.250000\n1399927874\t9.250000\n1399928475\t9.250000\n1399929075\t9.250000\n1399929676\t9.190000\n1399930276\t9.190000\n1399930877\t9.120000\n1399931477\t9.060000\n1399932078\t9.000000\n1399932678\t9.000000\n1399933279\t8.940000\n1399933894\t8.880000\n1399934495\t8.880000\n1399935095\t8.810000\n1399935696\t8.810000\n1399936297\t8.810000\n1399936897\t8.810000\n1399937498\t8.810000\n1399938098\t8.810000\n1399938699\t8.810000\n1399939299\t8.750000\n1399939900\t8.750000\n1399940500\t8.750000\n1399941101\t8.690000\n1399941701\t8.750000\n1399942302\t8.690000\n1399942903\t8.690000\n1399943503\t8.690000\n1399944104\t8.690000\n1399944704\t8.690000\n1399945305\t8.690000\n1399945905\t8.690000\n1399946506\t8.620000\n1399947106\t8.560000\n1399947707\t8.560000\n1399948307\t8.500000\n1399948908\t8.500000\n1399949509\t8.440000\n1399950109\t8.440000\n1399950710\t8.440000\n1399951310\t8.440000\n1399951911\t8.440000\n1399952526\t8.440000\n1399953127\t8.500000\n1399953727\t8.500000\n1399954328\t8.500000\n1399954928\t8.500000\n1399955529\t8.560000\n1399956129\t8.500000\n1399956730\t8.560000\n1399957330\t8.560000\n1399957931\t8.560000\n1399958531\t8.560000\n1399959132\t8.620000\n1399959732\t8.620000\n1399960333\t8.690000\n1399960933\t8.620000\n1399961534\t8.620000\n1399962134\t8.620000\n1399962735\t8.750000\n1399963336\t9.000000\n1399963936\t9.440000\n1399964537\t9.440000\n1399965137\t9.380000\n1399965738\t9.440000\n1399966338\t9.690000\n1399966939\t10.060000\n1399967539\t10.190000\n1399968140\t10.380000\n1399968755\t10.620000\n1399969356\t10.500000\n1399969956\t10.750000\n1399970557\t10.750000\n1399971157\t10.810000\n1399971758\t11.000000\n1399972358\t11.190000\n1399972959\t11.380000\n1399973559\t11.620000\n1399974160\t11.690000\n1399974761\t11.880000\n1399975361\t12.190000\n1399975962\t12.250000\n1399976562\t12.190000\n1399977163\t12.060000\n1399977763\t12.690000\n1399978364\t12.880000\n1399978964\t13.120000\n1399979565\t13.500000\n1399980165\t13.560000\n1399980766\t13.620000\n1399981367\t13.750000\n1399981967\t13.880000\n1399982568\t14.750000\n1399983168\t14.690000\n1399983769\t14.380000\n1399984369\t14.380000\n1399984970\t14.000000\n1399985570\t13.380000\n1399986171\t13.190000\n1399986786\t13.120000\n1399987387\t13.310000\n1399987987\t14.250000\n1399988588\t15.060000\n1399989188\t15.310000\n1399989789\t14.750000\n1399990389\t14.750000\n1399990990\t15.250000\n1399991590\t15.060000\n1399992191\t15.440000\n1399992791\t15.500000\n1399993392\t15.060000\n1399993992\t14.440000\n1399994593\t14.440000\n1399995193\t14.310000\n1399995794\t14.190000\n1399996395\t14.620000\n1399996995\t15.250000\n1399997596\t16.120000\n1399998196\t16.380000\n1399998797\t16.940000\n1399999397\t19.120000\n1399999998\t18.500000\n1400000598\t17.940000\n1400001199\t17.250000\n1400001799\t16.940000\n1400002400\t16.620000\n1400003000\t16.310000\n1400003601\t15.940000\n1400004202\t14.250000\n1400004802\t13.440000\n1400005418\t12.940000\n1400006018\t12.620000\n1400006619\t12.380000\n1400007219\t12.190000\n1400007820\t12.000000\n1400008420\t11.810000\n1400009021\t11.690000\n1400009621\t11.560000\n1400010222\t11.310000\n1400010822\t11.190000\n1400011423\t11.000000\n1400012024\t10.940000\n1400012624\t10.750000\n1400013225\t10.500000\n1400013825\t10.380000\n1400014426\t10.120000\n1400015026\t9.750000\n1400015627\t9.560000\n1400016227\t9.440000\n1400016828\t9.190000\n1400017428\t9.060000\n1400018029\t9.000000\n1400018629\t9.190000\n1400019230\t9.380000\n1400019831\t9.310000\n1400020431\t9.310000\n1400021032\t9.250000\n1400021632\t9.380000\n1400022233\t9.000000\n1400022833\t9.120000\n1400023449\t9.060000\n1400024049\t8.690000\n1400024650\t8.750000\n1400025250\t8.560000\n1400025851\t8.620000\n1400026452\t8.560000\n1400027052\t8.690000\n1400027653\t8.560000\n1400028253\t8.620000\n1400028854\t8.560000\n1400029454\t8.380000\n1400030055\t8.250000\n1400030655\t8.060000\n1400031256\t8.060000\n1400031856\t8.060000\n1400032457\t8.250000\n1400033058\t8.190000\n1400033658\t8.250000\n1400034258\t8.250000\n1400034859\t7.940000\n1400035460\t8.000000\n1400036060\t7.880000\n1400036661\t7.940000\n1400037261\t8.190000\n1400037862\t8.310000\n1400038462\t8.380000\n1400039063\t8.500000\n1400039663\t8.440000\n1400040264\t8.620000\n1400040864\t8.620000\n1400041465\t8.880000\n1400042065\t9.060000\n1400042681\t9.250000\n1400043281\t9.310000\n1400043882\t9.380000\n1400044483\t9.500000\n1400045083\t9.750000\n1400045684\t9.750000\n1400046284\t9.750000\n1400046885\t9.560000\n1400047485\t9.500000\n1400048086\t9.440000\n1400048686\t9.560000\n1400049287\t9.750000\n1400049887\t10.500000\n1400050488\t10.750000\n1400051088\t10.620000\n1400051689\t10.620000\n1400052289\t10.940000\n1400052890\t10.940000\n1400053490\t10.880000\n1400054091\t10.440000\n1400054691\t10.880000\n1400055292\t11.120000\n1400055893\t10.620000\n1400056493\t9.880000\n1400057094\t10.190000\n1400057694\t10.380000\n1400058295\t10.620000\n1400058895\t10.120000\n1400059496\t9.620000\n1400060096\t9.190000\n1400060712\t9.310000\n1400061312\t10.120000\n1400061913\t10.380000\n1400062513\t11.310000\n1400063114\t12.060000\n1400063714\t12.000000\n1400064315\t12.380000\n1400064916\t13.250000\n1400065516\t13.060000\n1400066117\t12.810000\n1400066717\t12.560000\n1400067318\t12.500000\n1400067918\t12.310000\n1400068519\t12.690000\n1400069119\t12.440000\n1400069720\t13.310000\n1400070320\t12.880000\n1400070921\t13.060000\n1400071521\t13.190000\n1400072122\t13.250000\n1400072723\t13.190000\n1400073323\t14.750000\n1400073924\t14.310000\n1400074524\t13.810000\n1400075125\t13.940000\n1400075725\t13.560000\n1400076326\t13.500000\n1400076926\t13.250000\n1400077527\t14.380000\n1400078142\t14.690000\n1400078743\t14.440000\n1400079343\t14.620000\n1400079944\t14.500000\n1400080545\t15.000000\n1400081145\t15.500000\n1400081746\t14.620000\n1400082346\t14.750000\n1400082947\t15.060000\n1400083547\t15.440000\n1400084148\t17.190000\n1400084748\t19.560000\n1400085349\t20.060000\n1400085949\t19.560000\n1400086550\t18.380000\n1400087151\t17.310000\n1400087751\t16.690000\n1400088352\t16.120000\n1400088952\t15.690000\n1400089553\t15.120000\n1400090153\t13.940000\n1400090754\t13.880000\n1400091354\t12.940000\n1400091955\t12.440000\n1400092555\t12.120000\n1400093156\t11.810000\n1400093757\t11.500000\n1400094357\t11.250000\n1400094973\t10.880000\n1400095573\t10.620000\n1400096174\t10.380000\n1400096774\t10.120000\n1400097375\t9.880000\n1400097975\t9.750000\n1400098576\t9.620000\n1400099176\t9.310000\n1400099777\t8.940000\n1400100377\t8.940000\n1400100978\t8.880000\n1400101578\t8.810000\n1400102179\t8.690000\n1400102779\t8.560000\n1400103380\t8.500000\n1400103980\t8.690000\n1400104581\t8.810000\n1400105182\t8.750000\n1400105782\t8.940000\n1400106383\t8.690000\n1400106983\t8.560000\n1400107584\t8.500000\n1400108184\t8.500000\n1400108785\t8.560000\n1400109385\t8.560000\n1400109986\t8.440000\n1400110586\t8.310000\n1400111187\t8.310000\n1400111803\t8.060000\n1400112403\t8.120000\n1400113004\t8.120000\n1400113604\t8.000000\n1400114205\t8.000000\n1400114805\t7.750000\n1400115406\t7.560000\n1400116006\t7.620000\n1400116607\t7.690000\n1400117207\t7.810000\n1400117808\t7.750000\n1400118408\t7.560000\n1400119009\t7.380000\n1400119609\t7.380000\n1400120210\t7.190000\n1400120811\t6.940000\n1400121411\t6.810000\n1400122012\t6.620000\n1400122612\t6.880000\n1400123213\t6.940000\n1400123813\t7.190000\n1400124414\t7.310000\n1400125014\t7.310000\n1400125615\t7.310000\n1400126215\t7.380000\n1400126816\t7.500000\n1400127417\t7.690000\n1400128017\t7.880000\n1400128618\t7.810000\n1400129218\t7.690000\n1400129834\t8.120000\n1400130434\t8.250000\n1400131035\t8.250000\n1400131635\t8.380000\n1400132236\t8.500000\n1400132836\t8.560000\n1400133437\t8.440000\n1400134038\t8.810000\n1400134638\t9.000000\n1400135239\t9.120000\n1400135839\t9.250000\n1400136440\t9.750000\n1400137040\t10.750000\n1400137641\t10.690000\n1400138241\t10.620000\n1400138842\t11.190000\n1400139442\t11.060000\n1400140043\t11.000000\n1400140643\t11.060000\n1400141244\t11.120000\n1400141844\t10.940000\n1400142445\t11.190000\n1400143045\t10.940000\n1400143646\t10.940000\n1400144246\t11.500000\n1400144847\t12.310000\n1400145447\t12.690000\n1400146048\t13.000000\n1400146664\t13.120000\n1400147264\t13.250000\n1400147865\t13.190000\n1400148465\t13.810000\n1400149066\t13.750000\n1400149666\t13.690000\n1400150267\t13.750000\n1400150867\t14.190000\n1400151468\t13.880000\n1400152068\t14.500000\n1400152669\t14.380000\n1400153269\t14.880000\n1400153870\t14.560000\n1400154471\t15.000000\n1400155071\t15.380000\n1400155672\t15.560000\n1400156272\t15.690000\n1400156873\t15.500000\n1400157473\t16.060000\n1400158074\t16.120000\n1400158674\t16.380000\n1400159275\t16.440000\n1400159875\t16.810000\n1400160476\t15.880000\n1400161076\t15.690000\n1400161677\t16.310000\n1400162277\t16.690000\n1400162878\t16.690000\n1400163478\t16.560000\n1400164079\t16.250000\n1400164680\t16.690000\n1400165280\t15.940000\n1400165881\t16.120000\n1400166481\t16.380000\n1400167097\t16.810000\n1400167697\t16.560000\n1400168298\t16.750000\n1400168898\t16.940000\n1400169499\t16.940000\n1400170099\t17.120000\n1400170700\t17.500000\n1400171301\t16.880000\n1400171901\t16.690000\n1400172502\t16.120000\n1400173102\t15.690000\n1400173703\t15.880000\n1400174303\t16.380000\n1400174904\t16.000000\n1400175504\t15.500000\n1400176105\t15.190000\n1400176705\t15.000000\n1400177306\t14.750000\n1400177906\t14.440000\n1400178507\t14.120000\n1400179107\t13.880000\n1400179708\t13.690000\n1400180308\t13.440000\n1400180909\t13.190000\n1400181510\t13.000000\n1400182110\t12.810000\n1400182711\t12.750000\n1400183311\t12.620000\n1400183911\t12.560000\n1400184512\t12.440000\n1400185113\t12.440000\n1400185713\t12.310000\n1400186314\t12.250000\n1400186929\t12.250000\n1400187530\t12.190000\n1400188130\t12.190000\n1400188731\t12.120000\n1400189331\t12.120000\n1400189932\t12.060000\n1400190532\t12.060000\n1400191133\t12.000000\n1400191733\t12.000000\n1400192334\t11.880000\n1400192934\t11.810000\n1400193535\t11.750000\n1400194135\t11.560000\n1400194736\t11.440000\n1400195337\t11.310000\n1400195937\t11.250000\n1400196538\t11.060000\n1400197138\t10.940000\n1400197739\t10.810000\n1400198339\t10.690000\n1400198940\t10.690000\n1400199540\t10.560000\n1400200141\t10.440000\n1400200741\t10.440000\n1400201342\t10.310000\n1400201943\t10.250000\n1400202543\t10.120000\n1400203144\t10.060000\n1400203744\t9.940000\n1400204345\t9.880000\n1400204945\t9.810000\n1400205546\t9.750000\n1400206146\t9.690000\n1400206762\t9.560000\n1400207362\t9.620000\n1400207963\t9.690000\n1400208563\t9.810000\n1400209164\t9.810000\n1400209765\t9.880000\n1400210365\t9.940000\n1400210966\t10.060000\n1400211566\t10.120000\n1400212167\t10.120000\n1400212767\t10.190000\n1400213368\t10.250000\n1400213968\t10.380000\n1400214569\t10.440000\n1400215169\t10.690000\n1400215770\t10.810000\n1400216370\t10.940000\n1400216971\t10.880000\n1400217571\t11.000000\n1400218172\t11.250000\n1400218772\t11.500000\n1400219373\t11.750000\n1400219973\t11.810000\n1400220574\t11.810000\n1400221175\t12.120000\n1400221775\t12.560000\n1400222376\t12.440000\n1400222976\t12.560000\n1400223577\t12.620000\n1400224177\t13.380000\n1400224778\t12.880000\n1400225393\t13.750000\n1400225994\t13.500000\n1400226594\t13.560000\n1400227195\t14.060000\n1400227795\t14.620000\n1400228396\t14.380000\n1400228996\t14.250000\n1400229597\t14.880000\n1400230198\t15.380000\n1400230798\t15.380000\n1400231399\t15.750000\n1400231999\t15.380000\n1400232600\t16.000000\n1400233200\t16.000000\n1400233801\t15.940000\n1400234401\t16.750000\n1400235002\t16.440000\n1400235602\t16.690000\n1400236203\t16.750000\n1400236803\t17.120000\n1400237404\t17.060000\n1400238005\t17.250000\n1400238605\t17.500000\n1400239206\t17.750000\n1400239806\t18.000000\n1400240407\t17.940000\n1400241007\t18.000000\n1400241623\t18.120000\n1400242223\t17.690000\n1400242824\t18.000000\n1400243424\t17.880000\n1400244025\t18.190000\n1400244625\t18.500000\n1400245226\t18.310000\n1400245827\t18.310000\n1400246427\t18.560000\n1400247028\t18.620000\n1400247628\t18.750000\n1400248229\t19.500000\n1400248829\t19.940000\n1400249430\t19.880000\n1400250030\t19.310000\n1400250631\t19.440000\n1400251231\t19.880000\n1400251832\t20.000000\n1400252433\t19.940000\n1400253033\t19.880000\n1400253634\t19.880000\n1400254234\t20.000000\n1400254835\t20.250000\n1400255435\t20.060000\n1400256036\t20.380000\n1400256636\t21.310000\n1400257237\t23.380000\n1400257837\t23.750000\n1400258453\t24.560000\n1400259054\t22.750000\n1400259654\t22.440000\n1400260255\t21.310000\n1400260855\t20.310000\n1400261456\t20.250000\n1400262056\t20.310000\n1400262657\t20.440000\n1400263257\t19.810000\n1400263858\t19.690000\n1400264458\t19.120000\n1400265059\t18.250000\n1400265659\t17.690000\n1400266260\t17.310000\n1400266861\t16.940000\n1400267461\t16.560000\n1400268062\t16.250000\n1400268662\t16.000000\n1400269263\t15.690000\n1400269863\t15.500000\n1400270464\t15.250000\n1400271064\t14.810000\n1400271665\t14.380000\n1400272265\t14.310000\n1400272866\t14.000000\n1400273466\t13.810000\n1400274067\t13.560000\n1400274668\t13.500000\n1400275268\t13.690000\n1400275869\t13.560000\n1400276469\t13.440000\n1400277085\t13.380000\n1400277685\t13.190000\n1400278286\t13.000000\n1400278886\t13.120000\n1400279487\t13.000000\n1400280087\t12.560000\n1400280688\t12.560000\n1400281288\t12.440000\n1400282978\t12.500000\n1400283578\t12.310000\n1400284179\t12.440000\n1400284779\t12.250000\n1400285380\t12.120000\n1400285980\t12.000000\n1400286581\t12.060000\n1400287181\t11.880000\n1400287782\t11.620000\n1400288382\t11.440000\n1400288983\t11.310000\n1400289583\t11.440000\n1400290184\t11.250000\n1400290784\t11.060000\n1400291385\t10.690000\n1400291986\t10.810000\n1400292586\t11.120000\n1400293187\t10.940000\n1400293787\t10.880000\n1400294388\t10.380000\n1400294988\t10.560000\n1400295589\t10.500000\n1400296189\t10.250000\n1400296805\t10.310000\n1400297405\t10.750000\n1400298006\t10.880000\n1400298606\t10.940000\n1400299207\t11.000000\n1400299807\t11.060000\n1400300408\t11.000000\n1400301008\t11.000000\n1400301609\t11.250000\n1400302209\t11.440000\n1400302810\t11.560000\n1400303410\t11.750000\n1400304011\t11.940000\n1400304611\t12.060000\n1400305212\t12.250000\n1400305812\t12.500000\n1400306413\t12.690000\n1400307013\t13.060000\n1400307614\t13.380000\n1400308215\t13.880000\n1400308815\t14.310000\n1400309416\t14.750000\n1400310016\t15.250000\n1400310617\t15.560000\n1400311217\t15.940000\n1400311818\t16.190000\n1400312418\t16.310000\n1400313019\t16.560000\n1400313619\t16.690000\n1400314220\t17.120000\n1400314820\t17.120000\n1400315421\t17.380000\n1400316021\t17.690000\n1400316622\t17.880000\n1400317223\t18.000000\n1400317823\t18.060000\n1400318439\t18.250000\n1400319039\t18.380000\n1400319640\t18.380000\n1400320240\t18.560000\n1400320841\t18.690000\n1400321441\t18.880000\n1400322042\t19.000000\n1400322642\t19.120000\n1400323243\t19.310000\n1400323843\t19.500000\n1400324444\t19.810000\n1400325044\t19.380000\n1400325645\t19.880000\n1400326246\t19.620000\n1400326846\t19.880000\n1400327447\t20.000000\n1400328047\t20.250000\n1400328648\t20.310000\n1400329248\t20.060000\n1400329849\t19.940000\n1400330449\t19.880000\n1400331050\t20.000000\n1400331650\t20.120000\n1400332251\t20.620000\n1400332851\t19.620000\n1400333452\t20.310000\n1400334052\t20.190000\n1400334653\t20.310000\n1400335253\t20.620000\n1400335854\t20.250000\n1400336455\t20.500000\n1400337055\t20.560000\n1400337655\t20.620000\n1400338256\t20.500000\n1400338857\t20.690000\n1400339472\t20.940000\n1400340073\t20.880000\n1400340673\t20.690000\n1400341274\t21.060000\n1400341874\t21.190000\n1400342475\t21.380000\n1400343075\t22.380000\n1400343676\t24.310000\n1400344276\t25.380000\n1400344877\t25.060000\n1400345477\t24.000000\n1400346078\t23.810000\n1400346678\t23.620000\n1400347279\t22.880000\n1400347879\t22.560000\n1400348480\t21.380000\n1400349080\t20.940000\n1400349681\t21.120000\n1400350281\t21.060000\n1400350882\t20.250000\n1400351482\t19.560000\n1400352083\t19.190000\n1400352684\t18.750000\n1400353284\t18.120000\n1400353885\t17.750000\n1400354485\t17.440000\n1400355086\t17.000000\n1400355701\t16.620000\n1400356302\t16.440000\n1400356902\t16.250000\n1400357503\t15.810000\n1400358103\t15.620000\n1400358704\t15.500000\n1400359304\t15.310000\n1400359905\t15.250000\n1400360505\t15.310000\n1400361106\t14.880000\n1400361706\t14.940000\n1400362307\t14.380000\n1400362907\t14.440000\n1400363508\t14.440000\n1400364108\t14.060000\n1400364709\t14.000000\n1400365310\t13.750000\n1400365910\t13.750000\n1400366511\t13.120000\n1400367111\t13.060000\n1400367712\t13.060000\n1400368312\t13.060000\n1400368913\t13.190000\n1400369513\t13.060000\n1400370114\t12.500000\n1400370714\t12.380000\n1400371315\t12.310000\n1400371915\t12.250000\n1400372516\t12.060000\n1400373131\t12.060000\n1400373732\t11.880000\n1400374332\t11.690000\n1400374933\t11.620000\n1400375533\t11.560000\n1400376134\t11.560000\n1400376735\t11.380000\n1400377335\t11.380000\n1400377936\t10.940000\n1400378536\t10.750000\n1400379137\t10.940000\n1400379737\t10.940000\n1400380338\t10.940000\n1400380938\t11.060000\n1400381539\t10.810000\n1400382139\t11.000000\n1400382740\t11.250000\n1400383340\t11.000000\n1400383941\t10.500000\n1400384541\t11.000000\n1400385142\t11.190000\n1400385742\t11.380000\n1400386343\t11.310000\n1400386943\t11.440000\n1400387544\t11.690000\n1400388144\t11.810000\n1400388745\t12.000000\n1400389345\t12.060000\n1400389946\t12.120000\n1400390547\t12.310000\n1400391162\t12.560000\n1400391763\t12.880000\n1400392363\t13.190000\n1400392964\t13.500000\n1400393564\t13.880000\n1400394165\t14.310000\n1400394765\t14.750000\n1400395366\t15.500000\n1400395966\t16.060000\n1400396567\t16.620000\n1400397167\t17.000000\n1400397768\t17.500000\n1400398368\t17.810000\n1400398969\t18.000000\n1400399569\t18.120000\n1400400170\t18.380000\n1400400770\t18.690000\n1400401371\t18.940000\n1400401971\t19.310000\n1400402572\t19.620000\n1400403172\t19.880000\n1400403773\t20.000000\n1400404374\t20.000000\n1400404974\t19.810000\n1400405575\t19.880000\n1400406175\t20.060000\n1400406776\t20.190000\n1400407376\t21.000000\n1400407977\t21.310000\n1400408577\t21.310000\n1400409193\t21.380000\n1400409793\t21.250000\n1400410394\t21.310000\n1400410994\t21.380000\n1400411595\t21.500000\n1400412195\t21.620000\n1400412796\t21.880000\n1400413396\t22.120000\n1400413997\t22.250000\n1400414597\t22.560000\n1400415198\t22.620000\n1400415799\t22.690000\n1400416399\t22.250000\n1400417000\t22.440000\n1400417600\t22.120000\n1400418201\t21.880000\n1400418801\t21.750000\n1400419402\t21.560000\n1400420002\t21.560000\n1400420603\t21.500000\n1400421203\t21.190000\n1400421804\t20.940000\n1400422404\t20.620000\n1400423005\t20.250000\n1400423605\t20.190000\n1400424206\t20.620000\n1400424806\t20.750000\n1400425407\t20.620000\n1400426022\t20.690000\n1400426623\t20.750000\n1400427223\t21.190000\n1400427824\t20.750000\n1400428424\t20.250000\n1400429025\t20.000000\n1400429625\t19.940000\n1400430226\t19.750000\n1400430826\t19.310000\n1400431427\t18.880000\n1400432027\t18.560000\n1400432628\t18.310000\n1400433229\t18.060000\n1400433829\t17.810000\n1400434430\t17.560000\n1400435030\t17.190000\n1400435631\t16.810000\n1400436231\t16.560000\n1400436832\t16.440000\n1400437432\t16.310000\n1400438033\t16.310000\n1400438633\t15.940000\n1400439234\t15.440000\n1400439834\t15.190000\n1400440435\t15.190000\n1400441035\t15.000000\n1400441651\t14.810000\n1400442251\t15.000000\n1400442852\t14.750000\n1400443452\t14.690000\n1400444053\t14.690000\n1400444653\t14.560000\n1400445254\t14.380000\n1400445854\t14.250000\n1400446455\t14.190000\n1400447055\t14.190000\n1400447656\t14.120000\n1400448257\t13.940000\n1400448857\t13.750000\n1400449458\t13.380000\n1400450058\t13.060000\n1400450659\t13.120000\n1400451259\t13.000000\n1400451860\t12.810000\n1400452460\t12.750000\n1400453061\t12.620000\n1400453661\t12.810000\n1400454262\t12.810000\n1400454862\t12.690000\n1400455463\t12.440000\n1400456063\t12.310000\n1400456664\t12.190000\n1400457264\t12.060000\n1400457865\t11.940000\n1400458465\t11.810000\n1400459066\t11.620000\n1400459681\t11.560000\n1400460282\t11.190000\n1400460882\t11.190000\n1400461483\t11.500000\n1400462084\t11.060000\n1400462684\t10.690000\n1400463285\t10.750000\n1400463885\t10.620000\n1400464486\t10.560000\n1400465086\t10.560000\n1400465687\t10.380000\n1400466287\t10.310000\n1400466888\t10.120000\n1400467488\t10.190000\n1400468089\t10.500000\n1400468689\t10.620000\n1400469290\t10.880000\n1400469890\t10.620000\n1400470491\t10.810000\n1400471091\t10.750000\n1400471692\t10.560000\n1400472293\t10.940000\n1400472893\t11.120000\n1400473494\t11.380000\n1400474094\t11.380000\n1400474695\t11.440000\n1400475295\t11.620000\n1400475896\t11.810000\n1400476496\t11.940000\n1400477097\t12.190000\n1400477712\t12.440000\n1400478313\t12.500000\n1400478913\t12.690000\n1400479514\t12.880000\n1400480114\t12.940000\n1400480715\t13.120000\n1400481315\t13.310000\n1400481916\t13.440000\n1400482516\t13.440000\n1400483117\t13.560000\n1400483717\t13.690000\n1400484318\t13.750000\n1400484918\t13.750000\n1400485519\t13.750000\n1400486119\t13.750000\n1400486720\t13.690000\n1400487320\t13.560000\n1400487921\t13.690000\n1400488521\t13.940000\n1400489122\t14.120000\n1400489722\t13.940000\n1400490323\t14.060000\n1400490923\t14.060000\n1400491524\t13.810000\n1400492125\t13.810000\n1400492725\t13.880000\n1400493341\t14.000000\n1400493941\t13.940000\n1400494542\t14.000000\n1400495142\t14.060000\n1400495743\t14.250000\n1400496343\t14.310000\n1400496944\t14.500000\n1400497544\t14.560000\n1400498145\t14.560000\n1400498745\t14.750000\n1400499346\t15.000000\n1400499946\t15.120000\n1400500547\t15.190000\n1400501147\t15.380000\n1400501748\t15.380000\n1400502348\t15.560000\n1400502949\t15.750000\n1400503549\t15.690000\n1400504150\t15.750000\n1400504750\t15.620000\n1400505351\t15.750000\n1400505951\t15.880000\n1400506552\t15.810000\n1400507152\t15.880000\n1400507753\t16.060000\n1400508353\t16.380000\n1400508954\t16.690000\n1400509555\t16.750000\n1400510155\t16.500000\n1400510771\t16.750000\n1400511371\t17.060000\n1400511972\t17.620000\n1400512572\t17.380000\n1400513173\t17.560000\n1400513773\t17.440000\n1400514374\t17.250000\n1400514974\t17.250000\n1400515575\t17.250000\n1400516175\t17.190000\n1400516776\t17.060000\n1400517376\t17.060000\n1400517977\t17.000000\n1400518577\t16.880000\n1400519178\t16.620000\n1400519778\t16.500000\n1400520379\t16.620000\n1400520979\t16.880000\n1400521580\t18.190000\n1400522181\t16.880000\n1400522781\t16.250000\n1400523382\t16.060000\n1400523982\t16.000000\n1400524583\t15.810000\n1400525183\t15.620000\n1400525784\t15.440000\n1400526384\t15.190000\n1400526985\t15.060000\n1400527585\t14.940000\n1400528201\t14.810000\n1400528801\t14.690000\n1400529402\t14.560000\n1400530002\t14.440000\n1400530603\t14.500000\n1400531203\t14.500000\n1400531804\t14.500000\n1400532404\t14.620000\n1400533005\t14.500000\n1400533605\t14.380000\n1400534206\t14.250000\n1400534807\t14.060000\n1400535407\t13.940000\n1400536008\t13.940000\n1400536608\t13.810000\n1400537209\t13.620000\n1400537809\t13.620000\n1400538410\t13.690000\n1400539010\t13.620000\n1400539611\t13.620000\n1400540211\t13.620000\n1400540812\t13.620000\n1400541412\t13.500000\n1400542013\t13.440000\n1400542613\t13.380000\n1400543214\t13.310000\n1400543814\t13.250000\n1400544430\t13.060000\n1400545030\t12.940000\n1400545631\t12.940000\n1400546232\t12.880000\n1400546832\t12.880000\n1400547432\t12.940000\n1400548033\t13.060000\n1400548634\t13.060000\n1400549234\t13.120000\n1400549835\t13.060000\n1400550435\t13.120000\n1400551036\t13.120000\n1400551636\t13.190000\n1400552237\t13.190000\n1400552837\t13.190000\n1400553438\t13.190000\n1400554038\t13.250000\n1400554639\t13.250000\n1400555239\t13.310000\n1400555840\t13.310000\n1400556440\t13.440000\n1400557041\t13.440000\n1400557641\t13.500000\n1400558242\t13.620000\n1400558842\t13.750000\n1400559443\t13.750000\n1400560043\t13.810000\n1400560644\t13.940000\n1400561244\t14.000000\n1400561860\t13.940000\n1400562461\t13.940000\n1400563061\t14.000000\n1400563662\t14.000000\n1400564262\t14.120000\n1400564863\t14.250000\n1400565463\t14.250000\n1400566064\t14.380000\n1400566664\t14.620000\n1400567265\t14.750000\n1400567865\t14.880000\n1400568466\t15.120000\n1400569066\t15.380000\n1400569667\t15.560000\n1400570267\t15.190000\n1400570868\t14.810000\n1400571468\t15.000000\n1400572069\t15.440000\n1400572669\t15.120000\n1400573270\t15.120000\n1400573870\t15.620000\n1400574471\t15.810000\n1400575071\t15.690000\n1400575672\t15.880000\n1400576272\t16.250000\n1400576873\t16.620000\n1400577473\t16.880000\n1400578074\t16.880000\n1400578674\t16.500000\n1400579290\t16.500000\n1400579890\t16.190000\n1400580491\t16.190000\n1400581091\t16.690000\n1400581692\t17.380000\n1400582292\t17.190000\n1400582893\t17.120000\n1400583494\t17.190000\n1400584094\t17.060000\n1400584695\t17.620000\n1400585295\t17.560000\n1400585896\t17.500000\n1400586496\t17.310000\n1400587097\t16.940000\n1400587697\t16.560000\n1400588298\t16.440000\n1400588898\t16.690000\n1400589499\t16.880000\n1400590099\t16.880000\n1400590700\t17.000000\n1400591300\t16.810000\n1400591901\t16.940000\n1400592501\t17.560000\n1400593102\t17.440000\n1400593702\t17.440000\n1400594303\t17.440000\n1400594903\t17.500000\n1400595504\t18.000000\n1400596104\t18.000000\n1400596705\t18.310000\n1400597320\t17.940000\n1400597921\t17.880000\n1400598521\t18.000000\n1400599122\t17.940000\n1400599722\t19.120000\n1400600323\t19.500000\n1400600923\t19.440000\n1400601524\t19.500000\n1400602125\t19.000000\n1400602725\t18.250000\n1400603326\t17.380000\n1400603926\t17.120000\n1400604527\t17.310000\n1400605127\t17.380000\n1400605728\t17.310000\n1400606328\t17.190000\n1400606929\t17.060000\n1400607529\t17.000000\n1400608130\t16.880000\n1400608730\t16.810000\n1400609331\t16.690000\n1400609931\t16.620000\n1400610532\t16.500000\n1400611132\t16.380000\n1400611733\t16.310000\n1400612333\t16.250000\n1400612934\t16.120000\n1400613549\t16.000000\n1400614150\t15.880000\n1400614750\t15.810000\n1400615351\t15.690000\n1400615951\t15.560000\n1400616552\t15.380000\n1400617152\t15.380000\n1400617753\t15.310000\n1400618353\t15.250000\n1400618954\t15.190000\n1400619554\t15.190000\n1400620155\t15.120000\n1400620755\t15.060000\n1400621356\t15.000000\n1400621957\t14.940000\n1400622557\t14.810000\n1400623158\t14.880000\n1400623758\t14.750000\n1400624359\t14.750000\n1400624959\t14.690000\n1400625560\t14.690000\n1400626160\t14.620000\n1400626761\t14.620000\n1400627361\t14.560000\n1400627962\t14.560000\n1400628562\t14.440000\n1400629163\t14.190000\n1400629763\t14.190000\n1400630379\t14.310000\n1400630979\t14.250000\n1400631580\t14.250000\n1400632180\t14.250000\n1400632781\t14.250000\n1400633381\t14.250000\n1400633982\t14.120000\n1400634582\t14.120000\n1400635183\t14.060000\n1400635783\t14.060000\n1400636384\t13.810000\n1400636984\t13.750000\n1400637585\t13.690000\n1400638185\t13.690000\n1400638786\t13.750000\n1400639386\t13.750000\n1400639987\t13.690000\n1400640587\t13.620000\n1400641188\t13.620000\n1400641788\t13.620000\n1400642389\t13.560000\n1400642989\t13.560000\n1400643590\t13.690000\n1400644191\t13.690000\n1400644791\t13.750000\n1400645392\t13.810000\n1400645992\t13.940000\n1400646608\t14.000000\n1400647208\t14.060000\n1400647809\t14.060000\n1400648409\t14.190000\n1400649010\t14.380000\n1400649610\t14.380000\n1400650211\t14.440000\n1400650811\t14.620000\n1400651412\t14.940000\n1400652012\t15.000000\n1400652613\t15.310000\n1400653213\t15.690000\n1400653814\t16.120000\n1400654414\t16.560000\n1400655015\t16.880000\n1400655615\t17.250000\n1400656216\t17.560000\n1400656816\t17.810000\n1400657417\t18.000000\n1400658018\t18.310000\n1400658618\t18.440000\n1400659219\t18.810000\n1400659819\t18.940000\n1400660420\t19.250000\n1400661020\t19.250000\n1400661621\t19.250000\n1400662221\t19.750000\n1400662822\t19.940000\n1400663422\t20.060000\n1400664038\t20.060000\n1400664638\t20.560000\n1400665239\t20.880000\n1400665839\t20.810000\n1400666440\t20.880000\n1400667040\t20.940000\n1400667641\t21.060000\n1400668242\t21.440000\n1400668842\t21.560000\n1400669443\t21.690000\n1400670043\t21.880000\n1400670643\t21.940000\n1400671244\t22.250000\n1400671845\t22.440000\n1400672445\t22.690000\n1400673046\t22.810000\n1400673646\t22.810000\n1400674247\t23.000000\n1400674847\t23.120000\n1400675448\t23.380000\n1400676048\t23.310000\n1400676649\t23.690000\n1400677249\t23.750000\n1400677850\t23.690000\n1400678450\t23.690000\n1400679051\t23.620000\n1400679651\t23.690000\n1400680252\t23.750000\n1400680852\t23.620000\n1400681453\t23.560000\n1400682053\t23.750000\n1400682654\t23.880000\n1400683254\t24.060000\n1400683870\t24.060000\n1400684470\t23.880000\n1400685071\t23.690000\n1400685672\t23.880000\n1400686272\t24.250000\n1400686873\t24.380000\n1400687473\t24.440000\n1400688074\t23.380000\n1400688674\t24.560000\n1400689275\t27.310000\n1400689875\t28.000000\n1400690476\t28.310000\n1400691076\t26.190000\n1400691677\t23.560000\n1400692277\t23.310000\n1400692878\t23.250000\n1400693478\t22.380000\n1400694079\t21.880000\n1400694679\t21.440000\n1400695280\t21.190000\n1400695881\t21.000000\n1400696481\t20.750000\n1400697082\t20.380000\n1400697682\t20.250000\n1400698283\t20.060000\n1400698883\t19.810000\n1400699484\t19.620000\n1400700084\t19.440000\n1400700685\t18.940000\n1400701285\t18.750000\n1400701886\t18.440000\n1400702486\t18.190000\n1400703087\t18.060000\n1400703687\t18.060000\n1400704288\t17.940000\n1400704903\t17.810000\n1400705504\t17.810000\n1400706104\t17.620000\n1400706705\t17.620000\n1400707306\t17.620000\n1400707906\t17.440000\n1400708507\t17.190000\n1400709107\t17.120000\n1400709708\t16.940000\n1400710308\t16.690000\n1400710909\t16.620000\n1400711509\t16.560000\n1400712110\t16.380000\n1400712710\t16.190000\n1400713311\t16.440000\n1400713911\t16.500000\n1400714512\t16.500000\n1400715112\t16.440000\n1400715713\t16.310000\n1400716313\t16.250000\n1400716914\t16.190000\n1400717514\t16.060000\n1400718115\t16.060000\n1400718715\t15.810000\n1400719316\t15.810000\n1400719917\t15.880000\n1400720517\t15.750000\n1400721118\t15.750000\n1400721733\t15.940000\n1400722334\t15.940000\n1400722934\t15.940000\n1400723535\t15.940000\n1400724135\t15.810000\n1400724736\t15.750000\n1400725336\t15.690000\n1400725937\t15.750000\n1400726537\t15.810000\n1400727138\t15.940000\n1400727738\t16.000000\n1400728339\t16.120000\n1400728939\t16.120000\n1400729540\t16.060000\n1400730141\t16.000000\n1400730741\t16.000000\n1400731342\t16.060000\n1400731942\t16.190000\n1400732543\t16.310000\n1400733143\t16.440000\n1400733744\t16.500000\n1400734344\t16.750000\n1400734945\t17.060000\n1400735545\t17.310000\n1400736146\t17.380000\n1400736746\t17.560000\n1400737347\t17.750000\n1400737947\t17.940000\n1400738548\t18.250000\n1400739148\t18.620000\n1400739749\t19.060000\n1400740349\t19.620000\n1400740965\t20.190000\n1400741565\t20.500000\n1400742166\t20.810000\n1400742767\t21.060000\n1400743367\t21.380000\n1400743968\t21.880000\n1400744568\t22.120000\n1400745169\t22.620000\n1400745769\t22.880000\n1400746370\t23.000000\n1400746970\t23.250000\n1400747571\t23.310000\n1400748171\t23.690000\n1400748772\t24.120000\n1400749372\t24.250000\n1400749973\t24.500000\n1400750573\t24.310000\n1400751174\t24.560000\n1400751774\t24.620000\n1400752375\t24.750000\n1400752975\t24.940000\n1400753576\t25.250000\n1400754177\t25.440000\n1400754777\t25.620000\n1400755378\t25.560000\n1400755978\t25.810000\n1400756579\t26.000000\n1400757179\t26.190000\n1400757780\t26.190000\n1400758380\t26.190000\n1400758996\t26.250000\n1400759596\t26.440000\n1400760197\t26.620000\n1400760797\t26.810000\n1400761398\t26.880000\n1400761998\t26.750000\n1400762599\t27.250000\n1400763199\t27.000000\n1400763800\t26.750000\n1400764400\t27.690000\n1400765001\t27.560000\n1400765601\t26.620000\n1400766202\t26.500000\n1400766802\t27.250000\n1400767403\t27.310000\n1400768003\t27.440000\n1400768604\t27.250000\n1400769204\t26.810000\n1400769805\t27.000000\n1400770405\t27.060000\n1400771006\t26.810000\n1400771606\t26.500000\n1400772207\t26.940000\n1400772807\t26.620000\n1400773408\t26.250000\n1400774008\t25.500000\n1400774609\t26.380000\n1400775210\t27.620000\n1400775810\t29.690000\n1400776426\t29.690000\n1400777026\t29.310000\n1400777627\t26.750000\n1400778227\t27.380000\n1400778828\t26.940000\n1400779428\t26.940000\n1400780029\t26.690000\n1400780629\t26.440000\n1400781230\t26.120000\n1400781830\t25.620000\n1400782431\t24.750000\n1400783031\t24.310000\n1400783632\t23.810000\n1400784233\t23.690000\n1400784833\t23.380000\n1400785434\t23.000000\n1400786034\t22.620000\n1400786635\t22.190000\n1400787235\t21.750000\n1400787836\t21.440000\n1400788436\t21.120000\n1400789037\t20.940000\n1400789637\t20.620000\n1400790238\t20.560000\n1400790838\t20.620000\n1400791439\t20.500000\n1400792039\t20.310000\n1400792640\t20.250000\n1400793240\t20.190000\n1400793841\t20.060000\n1400794457\t19.940000\n1400795057\t19.620000\n1400795658\t19.380000\n1400796258\t19.060000\n1400796859\t18.940000\n1400797459\t18.810000\n1400798060\t18.500000\n1400798660\t18.310000\n1400799261\t18.120000\n1400799861\t18.000000\n1400800462\t18.060000\n1400801062\t17.880000\n1400801663\t17.750000\n1400802263\t17.620000\n1400802864\t17.310000\n1400803464\t17.250000\n1400804065\t17.250000\n1400804666\t17.250000\n1400805266\t17.190000\n1400805867\t17.120000\n1400806467\t17.060000\n1400807068\t17.000000\n1400807668\t16.940000\n1400808269\t16.810000\n1400808869\t16.880000\n1400809470\t16.750000\n1400810070\t16.750000\n1400810671\t16.560000\n1400811286\t16.500000\n1400811887\t16.310000\n1400812487\t16.250000\n1400813088\t16.310000\n1400813688\t16.380000\n1400814289\t16.380000\n1400814889\t16.380000\n1400815490\t16.500000\n1400816090\t16.440000\n1400816691\t16.560000\n1400817291\t16.620000\n1400817892\t16.690000\n1400818492\t16.750000\n1400819093\t16.810000\n1400819693\t16.940000\n1400820294\t17.060000\n1400820894\t17.190000\n1400821495\t17.310000\n1400822095\t17.440000\n1400822696\t17.560000\n1400823296\t17.750000\n1400823897\t17.940000\n1400824497\t18.190000\n1400825098\t18.440000\n1400825698\t18.750000\n1400826299\t19.250000\n1400826900\t19.500000\n1400827500\t19.810000\n1400828116\t20.500000\n1400828716\t21.190000\n1400829317\t21.120000\n1400829917\t21.690000\n1400830518\t21.940000\n1400831118\t22.500000\n1400831719\t22.810000\n1400832319\t22.810000\n1400832920\t23.250000\n1400833520\t23.380000\n1400834121\t23.810000\n1400834721\t24.250000\n1400835322\t24.380000\n1400835922\t24.810000\n1400836523\t25.060000\n1400837123\t25.440000\n1400837724\t25.690000\n1400838324\t25.880000\n1400838925\t26.060000\n1400839525\t26.310000\n1400840126\t26.380000\n1400840726\t26.620000\n1400841327\t26.690000\n1400841927\t26.880000\n1400842528\t27.060000\n1400843128\t27.250000\n1400843729\t27.310000\n1400844329\t27.190000\n1400844930\t27.190000\n1400845545\t26.810000\n1400846146\t26.310000\n1400846746\t27.120000\n1400847347\t27.620000\n1400847947\t27.810000\n1400848548\t27.940000\n1400849148\t27.940000\n1400849749\t27.690000\n1400850349\t27.880000\n1400850950\t28.000000\n1400851551\t27.940000\n1400852151\t28.060000\n1400852752\t27.690000\n1400853352\t27.690000\n1400853953\t27.500000\n1400854553\t27.500000\n1400855154\t27.560000\n1400855754\t27.500000\n1400856355\t27.500000\n1400856955\t27.500000\n1400857556\t27.250000\n1400858156\t27.000000\n1400858757\t26.620000\n1400859357\t26.620000\n1400859958\t27.000000\n1400860558\t27.060000\n1400861159\t27.380000\n1400861759\t29.190000\n1400862360\t31.120000\n1400862960\t31.250000\n1400863576\t30.690000\n1400864176\t29.690000\n1400864777\t28.810000\n1400865377\t28.250000\n1400865978\t27.880000\n1400866578\t27.620000\n1400867179\t27.190000\n1400867779\t26.380000\n1400868380\t25.500000\n1400868980\t24.620000\n1400869581\t23.810000\n1400870181\t23.440000\n1400870782\t23.120000\n1400871383\t22.880000\n1400871983\t22.500000\n1400872584\t22.120000\n1400873184\t21.880000\n1400873785\t21.690000\n1400874385\t21.440000\n1400874986\t21.250000\n1400875586\t21.000000\n1400876187\t20.880000\n1400876787\t20.690000\n1400877388\t20.560000\n1400877988\t20.310000\n1400878589\t20.190000\n1400879190\t19.690000\n1400879805\t19.380000\n1400880406\t19.380000\n1400881006\t19.190000\n1400881607\t19.250000\n1400882207\t19.120000\n1400882808\t19.000000\n1400883408\t18.940000\n1400884009\t18.880000\n1400884609\t18.500000\n1400885210\t18.380000\n1400885810\t18.190000\n1400886411\t18.060000\n1400887011\t17.940000\n1400887612\t17.560000\n1400888212\t17.310000\n1400888813\t17.250000\n1400889413\t17.120000\n1400890014\t17.190000\n1400890614\t17.120000\n1400891215\t17.190000\n1400891815\t17.120000\n1400892416\t17.060000\n1400893016\t16.940000\n1400893617\t16.940000\n1400894217\t16.880000\n1400894833\t16.620000\n1400895433\t16.440000\n1400896034\t16.620000\n1400896634\t16.620000\n1400897235\t16.380000\n1400897836\t16.120000\n1400898436\t16.120000\n1400899037\t16.060000\n1400899637\t16.250000\n1400900238\t16.000000\n1400900838\t16.060000\n1400901439\t16.250000\n1400902039\t16.250000\n1400902640\t16.380000\n1400903240\t16.690000\n1400903841\t17.000000\n1400904441\t16.940000\n1400905042\t16.880000\n1400905642\t16.750000\n1400906243\t17.000000\n1400906843\t17.190000\n1400907444\t17.690000\n1400908044\t17.750000\n1400908645\t17.940000\n1400909245\t17.940000\n1400909846\t17.940000\n1400910446\t18.000000\n1400911047\t18.120000\n1400911648\t18.060000\n1400912248\t18.560000\n1400912849\t18.690000\n1400913464\t19.380000\n1400914065\t19.620000\n1400914665\t19.880000\n1400915266\t20.190000\n1400915866\t20.690000\n1400916467\t21.060000\n1400917067\t21.380000\n1400917668\t21.620000\n1400918268\t22.060000\n1400918869\t22.060000\n1400919469\t22.620000\n1400920070\t22.310000\n1400920670\t22.560000\n1400921271\t22.500000\n1400921871\t22.880000\n1400922472\t23.120000\n1400923073\t23.120000\n1400923673\t23.310000\n1400924274\t23.250000\n1400924874\t23.440000\n1400925475\t23.690000\n1400926075\t23.880000\n1400926676\t24.190000\n1400927276\t24.250000\n1400927877\t24.440000\n1400928477\t24.750000\n1400929078\t25.000000\n1400929678\t24.810000\n1400930279\t25.120000\n1400930894\t25.440000\n1400931495\t25.690000\n1400932095\t25.750000\n1400932696\t26.120000\n1400933296\t26.310000\n1400933897\t26.560000\n1400934497\t26.190000\n1400935098\t26.690000\n1400935699\t26.560000\n1400936299\t26.310000\n1400936900\t26.440000\n1400937500\t26.620000\n1400938101\t26.560000\n1400938701\t24.000000\n1400939302\t22.940000\n1400939902\t22.810000\n1400940503\t22.620000\n1400941103\t22.560000\n1400941704\t22.190000\n1400942304\t22.060000\n1400942905\t22.060000\n1400943505\t22.560000\n1400944106\t22.690000\n1400944706\t22.690000\n1400945307\t22.690000\n1400945907\t22.440000\n1400946508\t22.500000\n1400947123\t22.940000\n1400947724\t23.190000\n1400948324\t23.120000\n1400948925\t22.000000\n1400949525\t21.000000\n1400950126\t20.380000\n1400950726\t20.120000\n1400951327\t19.880000\n1400951928\t19.560000\n1400952528\t18.940000\n1400953129\t18.810000\n1400953729\t18.500000\n1400954330\t18.500000\n1400954930\t18.620000\n1400955531\t18.880000\n1400956131\t18.620000\n1400956732\t18.500000\n1400957332\t18.310000\n1400957933\t18.250000\n1400958533\t18.310000\n1400959134\t18.120000\n1400959734\t18.000000\n1400960335\t17.880000\n1400960935\t17.690000\n1400961536\t17.560000\n1400962136\t17.620000\n1400962737\t17.560000\n1400963338\t17.620000\n1400963938\t17.560000\n1400964539\t17.380000\n1400965154\t17.380000\n1400965755\t17.380000\n1400966355\t17.500000\n1400966956\t17.500000\n1400967556\t17.440000\n1400968157\t17.440000\n1400968757\t17.380000\n1400969358\t17.380000\n1400969958\t17.250000\n1400970559\t17.060000\n1400971159\t16.940000\n1400971760\t16.940000\n1400972360\t16.880000\n1400972961\t16.620000\n1400973561\t16.500000\n1400974162\t16.620000\n1400974763\t16.500000\n1400975363\t16.500000\n1400975964\t16.500000\n1400976564\t16.060000\n1400977165\t15.940000\n1400977765\t16.120000\n1400978366\t16.120000\n1400978966\t15.880000\n1400979567\t15.690000\n1400980167\t15.310000\n1400980768\t15.310000\n1400981368\t15.250000\n1400981969\t15.120000\n1400982569\t15.190000\n1400983185\t15.060000\n1400983785\t15.120000\n1400984386\t15.060000\n1400984986\t14.880000\n1400985587\t14.940000\n1400986187\t14.940000\n1400986788\t15.000000\n1400987388\t14.750000\n1400987989\t14.750000\n1400988589\t14.560000\n1400989190\t14.500000\n1400989791\t14.440000\n1400990391\t14.310000\n1400990992\t14.380000\n1400991592\t14.060000\n1400992192\t14.380000\n1400992793\t14.190000\n1400993394\t14.380000\n1400993994\t14.190000\n1400994595\t14.120000\n1400995195\t14.380000\n1400995796\t14.250000\n1400996396\t14.620000\n1400996997\t14.880000\n1400997597\t15.060000\n1400998198\t15.310000\n1400998798\t15.250000\n1400999399\t15.440000\n1400999999\t15.620000\n1401000615\t15.880000\n1401001215\t16.060000\n1401001816\t16.380000\n1401002416\t16.690000\n1401003017\t17.120000\n1401003617\t17.250000\n1401004218\t17.690000\n1401004819\t17.500000\n1401005419\t17.810000\n1401006019\t18.000000\n1401006620\t18.190000\n1401007220\t17.880000\n1401007821\t18.310000\n1401008422\t18.250000\n1401009022\t18.500000\n1401009623\t18.190000\n1401010223\t18.690000\n1401010824\t18.880000\n1401011424\t18.120000\n1401012025\t18.750000\n1401012625\t17.750000\n1401013226\t18.310000\n1401013826\t18.250000\n1401014427\t18.440000\n1401015027\t18.500000\n1401015628\t18.250000\n1401016228\t18.620000\n1401016829\t19.000000\n1401017429\t19.440000\n1401018030\t20.190000\n1401018645\t20.190000\n1401019246\t20.190000\n1401019846\t20.190000\n1401020447\t20.120000\n1401021047\t20.190000\n1401021648\t20.190000\n1401022248\t20.250000\n1401022849\t20.310000\n1401023449\t20.620000\n1401024050\t20.380000\n1401024650\t20.560000\n1401025251\t20.560000\n1401025852\t20.620000\n1401026452\t20.440000\n1401027053\t20.440000\n1401027653\t20.560000\n1401028254\t20.620000\n1401028854\t20.500000\n1401029455\t20.440000\n1401030055\t20.500000\n1401030656\t20.440000\n1401031256\t20.690000\n1401031857\t20.940000\n1401032457\t20.880000\n1401033058\t21.190000\n1401033673\t21.120000\n1401034274\t21.500000\n1401034874\t22.810000\n1401035475\t23.120000\n1401036075\t22.880000\n1401036676\t22.560000\n1401037276\t22.250000\n1401037877\t21.120000\n1401038478\t21.310000\n1401039078\t21.440000\n1401039679\t21.250000\n1401040279\t21.060000\n1401040880\t20.560000\n1401041480\t19.750000\n1401042081\t19.250000\n1401042681\t18.880000\n1401043282\t18.560000\n1401043882\t18.120000\n1401044483\t17.810000\n1401045083\t17.380000\n1401045684\t17.120000\n1401046284\t16.810000\n1401046885\t16.500000\n1401047485\t16.250000\n1401048086\t16.060000\n1401048686\t15.940000\n1401049287\t15.750000\n1401049902\t15.620000\n1401050503\t15.440000\n1401051103\t15.310000\n1401051704\t15.250000\n1401052305\t15.190000\n1401052905\t15.120000\n1401053506\t14.880000\n1401054106\t14.750000\n1401054707\t14.690000\n1401055307\t14.560000\n1401055908\t14.440000\n1401056508\t14.310000\n1401057109\t14.250000\n1401057709\t14.060000\n1401058310\t13.810000\n1401058910\t13.750000\n1401059511\t13.690000\n1401060111\t13.500000\n1401060712\t13.440000\n1401061312\t13.250000\n1401061913\t13.060000\n1401062513\t13.060000\n1401063114\t12.810000\n1401063714\t12.750000\n1401064315\t12.690000\n1401064915\t12.500000\n1401065516\t12.500000\n1401066117\t12.560000\n1401066717\t12.250000\n1401067318\t12.500000\n1401067918\t12.440000\n1401068519\t12.060000\n1401069119\t11.750000\n1401069735\t11.560000\n1401070335\t11.440000\n1401070936\t11.560000\n1401071536\t11.500000\n1401072137\t11.500000\n1401072737\t11.440000\n1401073338\t11.560000\n1401073938\t11.620000\n1401074539\t11.560000\n1401075139\t11.500000\n1401075740\t11.690000\n1401076340\t11.620000\n1401076941\t11.690000\n1401077541\t11.810000\n1401078142\t12.120000\n1401078742\t12.250000\n1401079343\t12.440000\n1401079943\t12.500000\n1401080544\t12.690000\n1401081144\t12.880000\n1401081745\t13.120000\n1401082346\t13.250000\n1401082946\t13.380000\n1401083547\t13.750000\n1401084147\t13.810000\n1401084748\t14.000000\n1401085348\t14.810000\n1401085949\t14.690000\n1401086549\t14.880000\n1401087150\t14.940000\n1401087750\t15.250000\n1401088351\t15.310000\n1401088951\t15.120000\n1401089552\t14.750000\n1401090152\t14.690000\n1401090768\t14.810000\n1401091368\t14.810000\n1401091969\t14.880000\n1401092570\t15.250000\n1401093170\t15.310000\n1401093771\t15.440000\n1401094371\t15.810000\n1401094972\t16.310000\n1401095572\t16.000000\n1401096173\t15.620000\n1401096773\t16.810000\n1401097374\t16.250000\n1401097974\t16.560000\n1401098575\t16.620000\n1401099175\t17.310000\n1401099776\t17.120000\n1401100376\t17.500000\n1401100977\t17.750000\n1401101577\t17.620000\n1401102178\t18.500000\n1401102778\t18.750000\n1401103379\t18.940000\n1401103979\t19.310000\n1401104580\t19.310000\n1401105180\t19.880000\n1401105781\t19.750000\n1401106381\t20.190000\n1401106982\t20.380000\n1401107597\t20.440000\n1401108198\t20.380000\n1401108799\t20.440000\n1401109399\t20.810000\n1401110000\t21.380000\n1401110600\t21.250000\n1401111201\t21.620000\n1401111801\t21.690000\n1401112402\t22.000000\n1401113002\t22.060000\n1401113603\t21.560000\n1401114203\t21.500000\n1401114804\t21.380000\n1401115404\t20.940000\n1401116005\t20.500000\n1401116605\t20.250000\n1401117206\t20.060000\n1401117806\t19.750000\n1401118407\t19.690000\n1401119007\t20.250000\n1401119608\t21.000000\n1401120208\t20.440000\n1401120809\t22.620000\n1401121409\t23.940000\n1401122010\t25.880000\n1401122610\t25.750000\n1401123211\t24.560000\n1401123811\t23.500000\n1401124412\t22.810000\n1401125012\t22.380000\n1401125613\t21.750000\n1401126229\t21.310000\n1401126829\t20.500000\n1401127429\t19.250000\n1401128030\t18.310000\n1401128631\t17.690000\n1401129231\t17.190000\n1401129832\t16.810000\n1401130432\t16.310000\n1401131033\t15.880000\n1401131633\t15.380000\n1401132234\t14.750000\n1401132834\t14.310000\n1401133435\t13.940000\n1401134035\t13.620000\n1401134636\t13.440000\n1401135236\t13.000000\n1401135837\t13.060000\n1401136437\t12.940000\n1401137038\t12.250000\n1401137638\t12.060000\n1401138239\t11.940000\n1401138839\t11.940000\n1401139440\t11.810000\n1401140040\t11.810000\n1401140641\t11.440000\n1401141242\t11.440000\n1401141842\t11.310000\n1401142442\t11.190000\n1401143043\t11.000000\n1401143659\t10.750000\n1401144259\t10.750000\n1401144860\t10.620000\n1401145460\t10.750000\n1401146061\t10.750000\n1401146661\t10.690000\n1401147262\t10.810000\n1401147862\t10.440000\n1401148463\t10.310000\n1401149063\t10.440000\n1401149664\t10.440000\n1401150264\t10.250000\n1401150865\t9.880000\n1401151465\t10.060000\n1401152066\t9.750000\n1401152666\t9.750000\n1401153267\t9.940000\n1401153867\t9.810000\n1401154468\t9.810000\n1401155068\t9.810000\n1401155669\t9.940000\n1401156269\t9.940000\n1401156870\t9.750000\n1401157470\t9.560000\n1401158071\t9.440000\n1401158671\t9.620000\n1401159272\t9.440000\n1401159873\t9.440000\n1401160488\t9.560000\n1401161089\t9.500000\n1401161689\t9.620000\n1401162290\t9.500000\n1401162890\t9.560000\n1401163491\t9.690000\n1401164091\t9.620000\n1401164692\t9.620000\n1401165292\t9.690000\n1401165893\t9.810000\n1401166493\t10.000000\n1401167094\t9.940000\n1401167694\t10.000000\n1401168295\t10.060000\n1401168895\t10.190000\n1401169496\t10.190000\n1401170096\t10.380000\n1401170697\t10.440000\n1401171297\t10.560000\n1401171898\t10.690000\n1401172498\t11.000000\n1401173099\t11.000000\n1401173699\t11.380000\n1401174300\t11.500000\n1401174900\t11.560000\n1401175501\t11.940000\n1401176101\t11.190000\n1401176702\t11.380000\n1401177317\t11.310000\n1401177918\t11.750000\n1401178519\t12.000000\n1401179119\t11.750000\n1401179720\t12.120000\n1401180320\t12.120000\n1401180921\t12.380000\n1401181521\t12.380000\n1401182122\t12.190000\n1401182722\t12.190000\n1401183323\t12.440000\n1401183923\t12.500000\n1401184524\t12.380000\n1401185124\t12.810000\n1401185725\t13.190000\n1401186325\t12.880000\n1401186926\t12.810000\n1401187526\t12.880000\n1401188127\t13.620000\n1401188727\t13.880000\n1401189328\t13.560000\n1401189928\t13.560000\n1401190529\t13.440000\n1401191129\t13.750000\n1401191730\t14.560000\n1401192330\t14.500000\n1401192931\t14.440000\n1401193531\t15.250000\n1401194132\t15.620000\n1401194732\t15.500000\n1401195333\t15.500000\n1401195948\t15.560000\n1401196549\t15.560000\n1401197150\t15.880000\n1401197750\t15.620000\n1401198351\t15.560000\n1401198951\t15.500000\n1401199552\t15.250000\n1401200152\t15.560000\n1401200753\t15.440000\n1401201353\t15.190000\n1401201954\t15.310000\n1401202554\t15.000000\n1401203155\t14.940000\n1401203755\t14.810000\n1401204356\t14.880000\n1401204956\t14.940000\n1401205557\t14.750000\n1401206157\t14.810000\n1401206758\t14.880000\n1401207358\t16.880000\n1401207959\t18.940000\n1401208559\t19.560000\n1401209160\t19.190000\n1401209760\t18.940000\n1401210361\t17.500000\n1401210961\t16.690000\n1401211562\t15.940000\n1401212162\t15.620000\n1401212778\t15.500000\n1401213378\t13.940000\n1401213979\t12.940000\n1401214579\t12.250000\n1401215180\t11.880000\n1401215781\t11.440000\n1401216381\t11.120000\n1401216982\t10.880000\n1401217582\t10.440000\n1401218183\t10.560000\n1401218783\t10.310000\n1401219384\t9.750000\n1401219984\t9.560000\n1401220585\t9.250000\n1401221185\t9.000000\n1401221786\t9.000000\n1401222386\t8.750000\n1401222987\t8.690000\n1401223587\t8.560000\n1401224188\t8.440000\n1401224788\t8.310000\n1401225389\t8.310000\n1401225989\t8.310000\n1401226590\t8.250000\n1401227191\t8.190000\n1401227791\t8.190000\n1401228392\t8.000000\n1401228992\t7.940000\n1401229608\t8.000000\n1401230208\t7.880000\n1401230809\t7.690000\n1401231409\t7.310000\n1401232010\t7.120000\n1401232610\t7.190000\n1401233211\t7.250000\n1401233811\t7.310000\n1401234412\t7.060000\n1401235012\t7.000000\n1401235613\t6.810000\n1401236213\t6.810000\n1401236814\t6.880000\n1401237414\t6.690000\n1401238015\t6.500000\n1401238615\t6.500000\n1401239216\t6.440000\n1401239816\t6.440000\n1401240417\t6.250000\n1401241017\t6.250000\n1401241618\t6.060000\n1401242218\t6.250000\n1401242819\t6.060000\n1401243420\t6.000000\n1401244020\t6.000000\n1401244621\t5.880000\n1401245221\t5.880000\n1401245822\t5.940000\n1401246422\t6.060000\n1401247038\t5.940000\n1401247638\t6.060000\n1401248239\t6.060000\n1401248839\t6.190000\n1401249440\t6.190000\n1401250040\t6.310000\n1401250641\t6.440000\n1401251241\t6.620000\n1401251842\t6.690000\n1401252442\t6.750000\n1401253043\t6.810000\n1401253643\t7.190000\n1401254244\t7.380000\n1401254844\t7.560000\n1401255445\t7.810000\n1401256045\t7.940000\n1401256646\t8.190000\n1401257246\t8.440000\n1401257847\t8.880000\n1401258447\t9.310000\n1401259048\t9.750000\n1401259648\t9.810000\n1401260249\t9.690000\n1401260849\t9.880000\n1401261450\t10.620000\n1401262065\t10.310000\n1401262666\t11.250000\n1401263267\t12.310000\n1401263867\t12.500000\n1401264468\t12.440000\n1401265068\t12.380000\n1401265669\t13.000000\n1401266269\t13.310000\n1401266870\t12.060000\n1401267470\t12.880000\n1401268071\t13.250000\n1401268671\t13.310000\n1401269272\t12.750000\n1401269872\t13.500000\n1401270473\t13.690000\n1401271073\t14.250000\n1401271674\t13.750000\n1401272274\t13.810000\n1401272875\t14.000000\n1401273475\t14.440000\n1401274076\t14.500000\n1401274676\t13.810000\n1401275277\t14.190000\n1401275877\t14.620000\n1401276478\t14.190000\n1401277079\t14.750000\n1401277679\t14.880000\n1401278280\t15.060000\n1401278880\t15.190000\n1401279481\t14.750000\n1401280096\t15.560000\n1401280697\t15.500000\n1401281297\t15.440000\n1401281898\t15.440000\n1401282498\t15.380000\n1401283099\t15.310000\n1401283699\t15.440000\n1401284300\t15.060000\n1401284900\t15.060000\n1401285501\t15.000000\n1401286101\t15.250000\n1401286702\t15.060000\n1401287302\t14.810000\n1401287903\t14.810000\n1401288503\t14.750000\n1401289104\t14.620000\n1401289704\t14.690000\n1401290305\t14.750000\n1401290905\t15.000000\n1401291506\t15.190000\n1401292106\t15.190000\n1401292707\t15.060000\n1401293308\t15.380000\n1401293908\t18.000000\n1401294509\t20.060000\n1401295109\t19.620000\n1401295710\t18.810000\n1401296310\t18.380000\n1401296911\t17.810000\n1401297526\t16.810000\n1401298127\t16.000000\n1401298727\t15.440000\n1401299328\t15.940000\n1401299928\t14.000000\n1401300529\t13.060000\n1401301129\t12.440000\n1401301730\t12.250000\n1401302330\t11.940000\n1401302931\t11.560000\n1401303531\t11.310000\n1401304132\t11.000000\n1401304732\t10.880000\n1401305333\t10.810000\n1401305933\t10.500000\n1401306534\t10.120000\n1401307134\t10.060000\n1401307735\t9.940000\n1401308335\t9.940000\n1401308936\t9.810000\n1401309536\t9.750000\n1401310137\t9.620000\n1401310737\t9.440000\n1401311338\t9.380000\n1401311938\t9.310000\n1401312554\t9.190000\n1401313154\t9.190000\n1401313755\t9.000000\n1401314355\t8.880000\n1401314956\t8.750000\n1401315557\t8.690000\n1401316157\t8.500000\n1401316758\t8.380000\n1401317358\t8.380000\n1401317959\t8.310000\n1401318559\t8.190000\n1401319160\t8.250000\n1401319760\t8.060000\n1401320361\t8.060000\n1401320961\t7.810000\n1401321562\t7.880000\n1401322162\t7.810000\n1401322763\t7.750000\n1401323363\t7.560000\n1401323964\t7.690000\n1401324564\t7.690000\n1401325165\t7.560000\n1401325765\t7.500000\n1401326366\t7.310000\n1401326966\t7.380000\n1401327567\t7.310000\n1401328167\t7.190000\n1401328783\t7.250000\n1401329383\t7.120000\n1401329984\t7.190000\n1401330584\t7.310000\n1401331185\t7.310000\n1401331786\t7.310000\n1401332386\t7.190000\n1401332987\t7.190000\n1401333587\t7.120000\n1401334188\t7.190000\n1401334788\t7.250000\n1401335389\t7.250000\n1401335989\t7.310000\n1401336590\t7.500000\n1401337190\t7.560000\n1401337791\t7.690000\n1401338391\t7.880000\n1401338992\t8.000000\n1401339592\t8.190000\n1401340193\t8.380000\n1401340793\t8.620000\n1401341394\t8.810000\n1401341994\t9.060000\n1401342595\t9.380000\n1401343195\t9.620000\n1401343796\t10.000000\n1401344396\t10.620000\n1401344997\t11.190000\n1401345597\t11.810000\n1401346198\t12.190000\n1401346798\t12.560000\n1401347414\t13.000000\n1401348015\t13.380000\n1401348615\t13.880000\n1401349216\t14.000000\n1401349816\t14.190000\n1401350417\t14.500000\n1401351017\t14.750000\n1401351618\t14.940000\n1401352218\t15.310000\n1401352819\t15.690000\n1401353419\t16.060000\n1401354020\t16.440000\n1401354620\t16.440000\n1401355221\t16.690000\n1401355821\t16.810000\n1401356422\t16.620000\n1401357022\t16.810000\n1401357623\t17.120000\n1401358223\t17.440000\n1401358824\t17.750000\n1401359424\t17.750000\n1401360025\t17.880000\n1401360625\t17.880000\n1401361226\t18.000000\n1401361826\t18.500000\n1401362427\t18.560000\n1401363028\t18.560000\n1401363643\t18.810000\n1401364244\t19.000000\n1401364844\t19.190000\n1401365445\t19.250000\n1401366045\t19.190000\n1401366646\t19.620000\n1401367246\t19.810000\n1401367847\t19.500000\n1401368447\t19.880000\n1401369048\t19.750000\n1401369648\t20.060000\n1401370249\t20.190000\n1401370849\t19.810000\n1401371450\t20.120000\n1401372050\t20.060000\n1401372651\t20.250000\n1401373252\t20.250000\n1401373852\t19.940000\n1401374453\t20.000000\n1401375053\t20.060000\n1401375654\t20.000000\n1401376254\t19.380000\n1401376855\t19.750000\n1401377455\t19.750000\n1401378056\t19.620000\n1401378656\t19.620000\n1401379257\t19.500000\n1401379857\t20.380000\n1401380458\t23.750000\n1401381073\t25.500000\n1401381674\t25.190000\n1401382274\t24.250000\n1401382875\t23.380000\n1401383475\t22.690000\n1401384076\t22.190000\n1401384676\t20.500000\n1401385277\t20.560000\n1401385878\t20.750000\n1401386478\t19.000000\n1401387079\t17.880000\n1401387679\t17.250000\n1401388280\t16.810000\n1401388880\t16.380000\n1401389481\t15.940000\n1401390081\t15.620000\n1401390682\t15.190000\n1401391282\t15.060000\n1401391883\t14.810000\n1401392483\t14.440000\n1401393084\t14.250000\n1401393684\t14.000000\n1401394285\t13.810000\n1401394885\t13.500000\n1401395486\t13.310000\n1401396087\t13.250000\n1401396687\t13.000000\n1401397288\t12.880000\n1401397888\t12.690000\n1401398489\t12.310000\n1401399089\t12.380000\n1401399705\t11.940000\n1401400305\t11.690000\n1401400906\t11.440000\n1401401506\t11.250000\n1401402107\t10.560000\n1401402707\t10.120000\n1401403308\t10.190000\n1401403908\t10.310000\n1401404509\t10.120000\n1401405109\t9.750000\n1401405710\t9.560000\n1401406310\t9.500000\n1401406911\t9.440000\n1401407511\t9.380000\n1401408112\t9.380000\n1401408712\t9.380000\n1401409313\t9.380000\n1401409913\t9.560000\n1401410514\t9.690000\n1401411114\t9.310000\n1401411715\t8.810000\n1401412315\t8.560000\n1401412916\t8.440000\n1401413516\t8.500000\n1401414117\t9.000000\n1401414717\t8.750000\n1401415318\t8.690000\n1401415918\t9.060000\n1401416519\t9.190000\n1401417134\t8.440000\n1401417735\t8.190000\n1401418335\t8.250000\n1401418936\t8.120000\n1401419537\t7.750000\n1401420137\t7.750000\n1401420738\t8.060000\n1401421338\t8.250000\n1401421939\t8.120000\n1401422539\t8.440000\n1401423140\t8.750000\n1401423740\t9.000000\n1401424341\t8.940000\n1401424941\t9.000000\n1401425542\t9.500000\n1401426142\t9.440000\n1401426743\t9.500000\n1401427343\t9.810000\n1401427944\t10.250000\n1401428544\t10.620000\n1401429145\t10.810000\n1401429746\t10.940000\n1401430346\t11.190000\n1401430947\t11.810000\n1401431547\t12.120000\n1401432148\t12.380000\n1401432748\t12.560000\n1401433349\t12.750000\n1401433949\t13.120000\n1401434565\t13.560000\n1401435165\t13.690000\n1401435766\t13.750000\n1401436366\t13.880000\n1401436967\t13.940000\n1401437567\t13.940000\n1401438168\t14.190000\n1401438768\t14.440000\n1401439369\t14.690000\n1401439969\t14.940000\n1401440570\t16.120000\n1401441170\t16.440000\n1401441771\t16.940000\n1401442371\t16.380000\n1401442972\t16.060000\n1401443572\t16.440000\n1401444173\t16.380000\n1401444773\t15.880000\n1401445374\t15.560000\n1401445974\t15.440000\n1401446575\t15.310000\n1401447176\t15.060000\n1401447776\t14.940000\n1401448377\t14.810000\n1401448977\t14.750000\n1401449578\t14.690000\n1401450178\t14.620000\n1401450779\t14.500000\n1401451379\t14.810000\n1401451980\t14.620000\n1401452595\t14.560000\n1401453196\t14.500000\n1401453796\t14.620000\n1401454397\t14.310000\n1401454997\t14.310000\n1401455598\t13.940000\n1401456198\t13.750000\n1401456799\t13.880000\n1401457399\t14.120000\n1401458000\t14.000000\n1401458601\t13.940000\n1401459201\t13.880000\n1401459802\t13.940000\n1401460402\t13.940000\n1401461003\t14.250000\n1401461603\t14.380000\n1401462204\t14.500000\n1401462804\t14.500000\n1401463405\t14.500000\n1401464005\t14.500000\n1401464606\t14.310000\n1401465206\t14.250000\n1401465807\t14.310000\n1401466407\t13.940000\n1401467008\t13.560000\n1401467608\t13.500000\n1401468209\t13.620000\n1401468810\t13.560000\n1401469410\t13.380000\n1401470011\t13.380000\n1401470611\t13.380000\n1401471212\t13.250000\n1401471812\t13.250000\n1401472428\t13.190000\n1401473028\t13.060000\n1401473629\t12.880000\n1401474229\t12.690000\n1401474830\t12.690000\n1401475430\t12.620000\n1401476031\t12.560000\n1401476631\t12.500000\n1401477232\t12.560000\n1401477832\t12.500000\n1401478433\t12.440000\n1401479033\t12.380000\n1401479634\t12.310000\n1401480235\t12.190000\n1401480835\t12.250000\n1401481436\t12.190000\n1401482036\t12.120000\n1401482637\t12.000000\n1401483237\t12.000000\n1401483838\t11.940000\n1401484438\t12.060000\n1401485039\t11.810000\n1401485639\t11.560000\n1401486240\t11.380000\n1401486840\t11.250000\n1401487441\t11.120000\n1401488041\t11.000000\n1401488642\t11.060000\n1401489242\t11.000000\n1401489843\t11.060000\n1401490443\t11.000000\n1401491044\t10.940000\n1401491644\t10.810000\n1401492260\t10.750000\n1401492861\t10.810000\n1401493461\t10.620000\n1401494062\t10.500000\n1401494662\t10.380000\n1401495263\t10.440000\n1401495863\t10.380000\n1401496464\t10.380000\n1401497064\t10.380000\n1401497665\t10.310000\n1401498265\t10.380000\n1401498866\t10.310000\n1401499466\t10.250000\n1401500067\t10.060000\n1401500667\t10.060000\n1401501268\t10.060000\n1401501869\t10.120000\n1401502469\t10.060000\n1401503070\t10.060000\n1401503670\t10.120000\n1401504271\t10.120000\n1401504871\t10.190000\n1401505472\t10.250000\n1401506072\t10.440000\n1401506673\t10.560000\n1401507273\t10.750000\n1401507874\t10.690000\n1401508474\t10.690000\n1401509075\t10.620000\n1401509675\t10.690000\n1401510276\t10.880000\n1401510876\t11.190000\n1401511492\t11.310000\n1401512093\t11.380000\n1401512693\t11.500000\n1401513294\t11.620000\n1401513894\t11.880000\n1401514495\t12.310000\n1401515095\t12.380000\n1401515696\t12.380000\n1401516296\t12.560000\n1401516897\t12.750000\n1401517497\t12.880000\n1401518098\t13.120000\n1401518698\t13.310000\n1401519299\t13.380000\n1401519899\t13.560000\n1401520500\t14.000000\n1401521100\t14.560000\n1401521701\t14.310000\n1401522301\t14.060000\n1401522902\t14.120000\n1401523503\t14.940000\n1401524103\t14.620000\n1401524704\t14.250000\n1401525304\t14.380000\n1401525905\t15.880000\n1401526505\t15.380000\n1401527106\t15.620000\n1401527706\t16.500000\n1401528307\t16.380000\n1401528922\t17.250000\n1401529523\t17.120000\n1401530123\t17.120000\n1401530724\t17.060000\n1401531324\t16.690000\n1401531925\t16.750000\n1401532526\t17.500000\n1401533126\t18.190000\n1401533727\t18.000000\n1401534327\t18.500000\n1401534928\t18.190000\n1401535528\t18.120000\n1401536129\t18.190000\n1401536729\t18.690000\n1401537330\t18.250000\n1401537930\t18.750000\n1401538531\t19.000000\n1401539131\t18.690000\n1401539732\t19.000000\n1401540332\t19.120000\n1401540933\t19.380000\n1401541534\t19.440000\n1401542134\t20.120000\n1401542735\t20.000000\n1401543335\t19.810000\n1401543936\t19.380000\n1401544536\t19.690000\n1401545137\t19.560000\n1401545737\t19.810000\n1401546338\t19.940000\n1401546953\t19.810000\n1401547554\t19.810000\n1401548154\t19.690000\n1401548755\t19.750000\n1401549356\t19.810000\n1401549956\t20.120000\n1401550557\t20.310000\n1401551157\t20.380000\n1401551758\t20.440000\n1401552358\t20.750000\n1401552959\t23.250000\n1401553559\t26.060000\n1401554160\t26.810000\n1401554760\t26.250000\n1401555361\t25.060000\n1401555961\t24.250000\n1401556562\t23.560000\n1401557162\t22.500000\n1401557763\t20.940000\n1401558364\t21.750000\n1401558964\t21.380000\n1401559565\t19.690000\n1401560165\t18.310000\n1401560766\t17.810000\n1401561366\t17.440000\n1401561967\t17.250000\n1401562567\t16.810000\n1401563168\t16.310000\n1401563768\t16.190000\n1401564369\t16.000000\n1401564970\t15.500000\n1401565570\t15.190000\n1401566186\t14.940000\n1401566786\t14.440000\n1401567387\t14.440000\n1401567987\t14.380000\n1401568588\t13.750000\n1401569188\t13.690000\n1401569789\t13.560000\n1401570389\t13.310000\n1401570990\t12.880000\n1401571590\t13.060000\n1401572191\t12.750000\n1401572791\t12.120000\n1401573392\t11.810000\n1401573992\t12.120000\n1401574593\t11.940000\n1401575194\t11.810000\n1401575794\t11.440000\n1401576395\t11.560000\n1401576995\t11.560000\n1401577596\t11.500000\n1401578196\t10.940000\n1401578797\t11.060000\n1401579397\t10.810000\n1401579998\t10.940000\n1401580598\t10.940000\n1401581199\t11.120000\n1401581799\t11.060000\n1401582400\t10.880000\n1401583000\t10.620000\n1401583601\t10.620000\n1401584217\t10.500000\n1401584817\t9.500000\n1401585418\t9.750000\n1401586018\t10.000000\n1401586619\t9.690000\n1401587219\t9.880000\n1401587820\t9.940000\n1401588420\t9.380000\n1401589021\t9.190000\n1401589621\t9.060000\n1401590222\t8.750000\n1401590822\t9.000000\n1401591423\t9.190000\n1401592024\t9.500000\n1401592624\t9.500000\n1401593225\t9.560000\n1401593825\t9.690000\n1401594426\t9.620000\n1401595026\t9.690000\n1401595627\t9.880000\n1401596227\t10.120000\n1401596828\t10.440000\n1401597428\t10.560000\n1401598029\t10.880000\n1401598629\t11.190000\n1401599230\t11.500000\n1401599830\t11.750000\n1401600431\t12.000000\n1401601032\t12.440000\n1401601632\t12.750000\n1401602233\t13.120000\n1401602848\t13.440000\n1401603449\t13.940000\n1401604049\t14.620000\n1401604650\t15.310000\n1401605250\t15.940000\n1401605851\t16.500000\n1401606451\t16.750000\n1401607052\t17.190000\n1401607652\t17.500000\n1401608253\t17.810000\n1401608853\t18.060000\n1401609454\t18.310000\n1401610055\t18.440000\n1401610655\t18.810000\n1401611256\t19.000000\n1401611856\t19.120000\n1401612457\t19.440000\n1401613057\t19.560000\n1401613658\t19.500000\n1401614258\t19.810000\n1401614859\t19.880000\n1401615459\t19.880000\n1401616060\t20.310000\n1401616660\t20.380000\n1401617261\t20.380000\n1401617861\t20.690000\n1401618462\t20.810000\n1401619063\t20.940000\n1401619663\t20.810000\n1401620264\t20.810000\n1401620864\t21.060000\n1401621480\t21.060000\n1401622080\t21.380000\n1401622681\t21.440000\n1401623281\t21.500000\n1401623882\t21.620000\n1401624482\t22.060000\n1401625083\t21.880000\n1401625684\t22.060000\n1401626284\t22.310000\n1401626885\t22.560000\n1401627485\t22.880000\n1401628086\t22.690000\n1401628686\t22.880000\n1401629287\t22.810000\n1401629887\t22.940000\n1401630488\t22.940000\n1401631088\t22.940000\n1401631689\t22.940000\n1401632289\t22.880000\n1401632890\t22.750000\n1401633490\t22.690000\n1401634091\t22.560000\n1401634691\t22.500000\n1401635292\t22.440000\n1401635893\t22.310000\n1401636493\t22.500000\n1401637094\t22.620000\n1401637694\t22.620000\n1401638295\t22.810000\n1401638895\t23.310000\n1401639496\t26.250000\n1401640111\t29.000000\n1401640712\t28.940000\n1401641312\t28.120000\n1401641913\t27.310000\n1401642513\t26.380000\n1401643114\t25.560000\n1401643714\t24.000000\n1401644315\t23.060000\n1401644915\t23.880000\n1401645516\t23.000000\n1401646117\t21.620000\n1401646717\t20.810000\n1401647318\t20.310000\n1401647918\t19.940000\n1401648519\t19.560000\n1401649119\t19.120000\n1401649720\t18.750000\n1401650320\t18.310000\n1401650921\t18.120000\n1401651521\t17.880000\n1401652122\t17.560000\n1401652722\t17.310000\n1401653323\t17.190000\n1401653923\t16.940000\n1401654524\t16.750000\n1401655124\t16.500000\n1401655725\t16.250000\n1401656326\t16.000000\n1401656926\t15.880000\n1401657526\t15.560000\n1401658142\t15.440000\n1401658742\t15.250000\n1401659343\t14.940000\n1401659944\t14.940000\n1401660544\t14.810000\n1401661145\t14.250000\n1401661745\t14.060000\n1401662346\t13.690000\n1401662946\t13.620000\n1401663547\t13.560000\n1401664147\t13.560000\n1401664748\t13.380000\n1401665348\t13.440000\n1401665949\t13.310000\n1401666549\t13.120000\n1401667150\t12.940000\n1401667750\t12.750000\n1401668351\t12.310000\n1401668952\t12.250000\n1401669552\t12.310000\n1401670153\t12.060000\n1401670753\t12.120000\n1401671354\t12.120000\n1401671954\t12.060000\n1401672555\t12.000000\n1401673155\t11.880000\n1401673756\t11.750000\n1401674356\t11.560000\n1401674957\t11.620000\n1401675558\t11.620000\n1401676158\t11.560000\n1401676774\t11.500000\n1401677374\t11.440000\n1401677975\t11.310000\n1401678575\t11.310000\n1401679176\t11.190000\n1401679776\t11.190000\n1401680377\t11.250000\n1401680977\t11.310000\n1401681578\t11.310000\n1401682178\t11.440000\n1401682779\t11.500000\n1401683379\t11.560000\n1401683980\t11.750000\n1401684581\t12.060000\n1401685181\t12.250000\n1401685782\t12.500000\n1401686382\t12.620000\n1401686983\t12.750000\n1401687583\t12.880000\n1401688184\t13.120000\n1401688784\t13.250000\n1401689385\t13.560000\n1401689986\t14.000000\n1401690586\t14.560000\n1401691187\t15.060000\n1401691787\t15.500000\n1401692388\t15.880000\n1401692988\t16.120000\n1401693589\t16.250000\n1401694189\t16.560000\n1401694790\t16.750000\n1401695405\t17.000000\n1401696006\t17.190000\n1401696606\t17.500000\n1401697207\t17.620000\n1401697807\t17.880000\n1401698408\t18.000000\n1401699008\t18.190000\n1401699609\t18.440000\n1401700210\t18.810000\n1401700810\t18.880000\n1401701411\t19.060000\n1401702011\t19.120000\n1401702612\t19.310000\n1401703212\t19.440000\n1401703813\t19.750000\n1401704413\t19.940000\n1401705014\t20.000000\n1401705614\t20.000000\n1401706215\t20.120000\n1401706816\t20.000000\n1401707416\t20.000000\n1401708017\t20.060000\n1401708617\t20.500000\n1401709218\t20.560000\n1401709818\t20.750000\n1401710419\t20.810000\n1401711019\t20.810000\n1401711635\t20.940000\n1401712235\t21.120000\n1401712836\t21.190000\n1401713436\t21.310000\n1401714037\t21.190000\n1401714638\t21.500000\n1401715238\t21.380000\n1401715839\t21.560000\n1401716439\t21.560000\n1401717040\t21.620000\n1401717640\t21.620000\n1401718241\t21.500000\n1401718841\t21.620000\n1401719442\t21.500000\n1401720042\t21.310000\n1401720643\t21.560000\n1401721243\t21.500000\n1401721844\t21.440000\n1401722444\t21.440000\n1401723045\t21.690000\n1401723646\t21.750000\n1401724246\t21.750000\n1401724847\t21.880000\n1401725447\t23.060000\n1401726048\t26.690000\n1401726648\t28.750000\n1401727249\t28.620000\n1401727849\t27.560000\n1401728450\t26.120000\n1401729050\t25.250000\n1401729651\t24.940000\n1401730267\t22.880000\n1401730867\t22.500000\n1401731468\t23.190000\n1401732068\t21.750000\n1401732669\t20.560000\n1401733269\t19.690000\n1401733870\t19.310000\n1401734470\t18.880000\n1401735071\t18.620000\n1401735671\t18.190000\n1401736272\t17.810000\n1401736872\t17.690000\n1401737473\t17.380000\n1401738073\t17.060000\n1401738674\t16.750000\n1401739274\t16.560000\n1401739875\t16.380000\n1401740476\t16.120000\n1401741076\t15.940000\n1401741677\t15.810000\n1401742277\t15.560000\n1401742878\t15.440000\n1401743478\t15.190000\n1401744079\t15.000000\n1401744679\t14.880000\n1401745280\t14.750000\n1401745880\t14.620000\n1401746481\t14.500000\n1401747081\t14.310000\n1401747682\t14.190000\n1401748282\t14.060000\n1401748898\t13.880000\n1401749499\t13.690000\n1401750099\t13.440000\n1401750700\t13.250000\n1401751300\t13.250000\n1401751901\t12.940000\n1401752501\t13.000000\n1401753102\t12.880000\n1401753702\t12.560000\n1401754303\t12.560000\n1401754903\t12.380000\n1401755504\t12.190000\n1401756104\t12.000000\n1401756705\t11.750000\n1401757305\t11.690000\n1401757906\t11.500000\n1401758507\t11.500000\n1401759107\t11.310000\n1401759708\t11.250000\n1401760308\t11.120000\n1401760909\t11.000000\n1401761509\t11.000000\n1401762110\t10.940000\n1401762710\t10.940000\n1401763311\t11.000000\n1401763911\t11.000000\n1401764512\t10.880000\n1401765112\t10.880000\n1401765728\t10.940000\n1401766328\t10.940000\n1401766929\t10.940000\n1401767529\t11.250000\n1401768130\t11.500000\n1401768730\t11.620000\n1401769331\t11.750000\n1401769931\t12.120000\n1401770532\t12.310000\n1401771133\t12.380000\n1401771733\t12.380000\n1401772334\t12.560000\n1401772934\t12.880000\n1401773535\t13.250000\n1401774135\t13.380000\n1401774736\t13.690000\n1401775336\t13.810000\n1401775937\t14.000000\n1401776537\t14.620000\n1401777138\t14.620000\n1401777738\t14.620000\n1401778339\t14.440000\n1401778939\t14.500000\n1401779540\t15.190000\n1401780140\t15.120000\n1401780741\t15.060000\n1401781342\t14.880000\n1401781942\t14.810000\n1401782543\t14.880000\n1401783143\t14.880000\n1401783759\t14.750000\n1401784359\t14.810000\n1401784960\t15.120000\n1401785560\t14.940000\n1401786161\t14.880000\n1401786761\t14.940000\n1401787362\t15.000000\n1401787962\t15.000000\n1401788563\t15.120000\n1401789164\t15.250000\n1401789764\t15.380000\n1401790365\t15.250000\n1401790965\t15.190000\n1401791566\t15.380000\n1401792166\t15.500000\n1401792767\t15.750000\n1401793367\t16.120000\n1401793968\t16.250000\n1401794568\t16.440000\n1401795169\t16.620000\n1401795769\t16.750000\n1401796370\t16.750000\n1401796970\t16.810000\n1401797571\t16.940000\n1401798171\t17.060000\n1401798772\t16.880000\n1401799372\t16.690000\n1401799973\t16.810000\n1401800573\t16.690000\n1401801174\t16.620000\n1401801775\t16.620000\n1401802390\t16.750000\n1401802991\t16.810000\n1401803591\t16.940000\n1401804192\t16.940000\n1401804792\t16.690000\n1401805393\t16.560000\n1401805993\t16.440000\n1401806594\t16.250000\n1401807194\t16.060000\n1401807795\t15.940000\n1401808395\t15.810000\n1401808996\t15.690000\n1401809597\t15.560000\n1401810197\t15.560000\n1401810798\t15.310000\n1401811398\t15.120000\n1401811999\t14.810000\n1401812599\t14.620000\n1401813200\t14.500000\n1401813800\t14.560000\n1401814401\t14.500000\n1401815001\t14.500000\n1401815602\t14.440000\n1401816202\t14.190000\n1401816803\t14.000000\n1401817404\t13.880000\n1401818004\t13.810000\n1401818605\t13.750000\n1401819205\t13.690000\n1401819806\t13.620000\n1401820406\t13.560000\n1401821022\t13.440000\n1401821622\t13.440000\n1401822223\t13.380000\n1401822823\t13.310000\n1401823424\t13.310000\n1401824024\t13.120000\n1401824625\t13.190000\n1401825226\t13.120000\n1401825826\t13.120000\n1401826426\t12.940000\n1401827027\t12.940000\n1401827627\t12.880000\n1401828228\t12.940000\n1401828829\t12.940000\n1401829429\t13.000000\n1401830030\t13.060000\n1401830630\t13.000000\n1401831231\t12.940000\n1401831831\t13.000000\n1401832432\t13.060000\n1401833032\t13.060000\n1401833633\t13.000000\n1401834233\t13.060000\n1401834834\t13.120000\n1401835434\t13.060000\n1401836035\t13.060000\n1401836635\t13.120000\n1401837236\t13.120000\n1401837836\t13.120000\n1401838452\t13.120000\n1401839053\t13.190000\n1401839653\t13.250000\n1401840254\t13.310000\n1401840854\t13.310000\n1401841455\t13.380000\n1401842055\t13.380000\n1401842656\t13.380000\n1401843256\t13.310000\n1401843857\t13.310000\n1401844457\t13.250000\n1401845058\t13.190000\n1401845658\t13.190000\n1401846259\t13.120000\n1401846860\t13.060000\n1401847460\t12.940000\n1401848061\t13.000000\n1401848661\t12.940000\n1401849262\t12.880000\n1401849862\t12.880000\n1401850463\t12.940000\n1401851063\t12.940000\n1401851664\t12.940000\n1401852264\t12.880000\n1401852865\t12.940000\n1401853465\t12.880000\n1401854066\t12.880000\n1401854666\t13.060000\n1401855267\t13.310000\n1401855868\t13.440000\n1401856468\t13.560000\n1401857084\t13.620000\n1401857684\t13.620000\n1401858285\t13.620000\n1401858885\t13.690000\n1401859486\t13.690000\n1401860086\t13.880000\n1401860687\t13.880000\n1401861287\t13.940000\n1401861888\t13.880000\n1401862488\t13.810000\n1401863089\t13.940000\n1401863690\t14.060000\n1401864290\t14.120000\n1401864891\t14.120000\n1401865491\t14.120000\n1401866092\t14.120000\n1401866692\t14.380000\n1401867293\t14.690000\n1401867893\t15.560000\n1401868494\t15.940000\n1401869094\t15.750000\n1401869695\t15.750000\n1401870296\t16.000000\n1401870896\t16.000000\n1401871497\t15.750000\n1401872097\t15.620000\n1401872698\t15.500000\n1401873298\t15.310000\n1401873899\t15.250000\n1401874499\t15.250000\n1401875100\t15.310000\n1401875700\t15.310000\n1401876301\t15.500000\n1401876916\t15.690000\n1401877517\t15.810000\n1401878117\t15.810000\n1401878718\t15.690000\n1401879319\t15.750000\n1401879919\t15.690000\n1401880520\t16.500000\n1401881120\t16.440000\n1401881721\t16.250000\n1401882321\t16.560000\n1401882922\t16.440000\n1401883522\t17.120000\n1401884123\t17.000000\n1401884723\t16.750000\n1401885324\t16.810000\n1401885924\t16.620000\n1401886525\t16.190000\n1401887125\t16.120000\n1401887726\t16.380000\n1401888327\t16.690000\n1401888927\t17.120000\n1401889528\t17.690000\n1401890128\t18.120000\n1401890729\t18.500000\n1401891329\t19.000000\n1401891930\t19.560000\n1401892530\t18.560000\n1401893131\t18.000000\n1401893731\t18.500000\n1401894332\t18.560000\n1401894932\t18.750000\n1401895533\t19.120000\n1401896134\t19.440000\n1401896734\t19.620000\n1401897350\t19.120000\n1401897950\t18.500000\n1401898551\t18.250000\n1401899151\t18.120000\n1401899752\t19.190000\n1401900352\t19.690000\n1401900953\t19.750000\n1401901553\t18.620000\n1401902154\t17.440000\n1401902754\t16.940000\n1401903355\t16.750000\n1401903955\t16.620000\n1401904556\t16.500000\n1401905157\t16.440000\n1401905757\t16.250000\n1401906358\t16.060000\n1401906958\t16.000000\n1401907559\t15.810000\n1401908159\t15.690000\n1401908760\t15.560000\n1401909360\t15.380000\n1401909961\t15.310000\n1401910561\t15.120000\n1401911162\t15.060000\n1401911763\t15.060000\n1401912363\t14.940000\n1401912964\t14.880000\n1401913564\t14.810000\n1401914165\t14.810000\n1401914765\t14.810000\n1401915366\t14.810000\n1401915966\t14.810000\n1401916582\t14.810000\n1401917182\t14.810000\n1401917783\t14.810000\n1401918383\t14.750000\n1401918984\t14.750000\n1401919584\t14.620000\n1401920185\t14.620000\n1401920786\t14.560000\n1401921386\t14.620000\n1401921987\t14.560000\n1401922587\t14.500000\n1401923188\t14.500000\n1401923788\t14.500000\n1401924389\t14.560000\n1401924989\t14.620000\n1401925590\t14.560000\n1401926190\t14.620000\n1401926791\t14.560000\n1401927391\t14.440000\n1401927992\t14.380000\n1401928592\t14.440000\n1401929193\t14.380000\n1401929794\t14.310000\n1401930394\t14.380000\n1401930995\t14.380000\n1401931595\t14.380000\n1401932196\t14.310000\n1401932796\t14.380000\n1401933397\t14.380000\n1401933997\t14.380000\n1401934613\t14.380000\n1401935213\t14.380000\n1401935814\t14.310000\n1401936414\t14.250000\n1401937015\t14.250000\n1401937615\t14.310000\n1401938216\t14.380000\n1401938817\t14.380000\n1401939417\t14.500000\n1401940018\t14.620000\n1401940618\t14.690000\n1401941219\t14.810000\n1401941819\t14.750000\n1401942420\t14.750000\n1401943020\t15.000000\n1401943621\t15.250000\n1401944221\t15.190000\n1401944822\t15.310000\n1401945423\t15.310000\n1401946023\t15.310000\n1401946624\t15.310000\n1401947224\t15.560000\n1401947825\t15.620000\n1401948425\t15.690000\n1401949026\t16.060000\n1401949626\t16.440000\n1401950227\t16.310000\n1401950827\t16.120000\n1401951428\t15.940000\n1401952028\t15.810000\n1401952629\t15.880000\n1401953230\t16.440000\n1401953845\t16.500000\n1401954446\t16.810000\n1401955046\t16.810000\n1401955647\t16.750000\n1401956247\t16.810000\n1401956848\t16.690000\n1401957448\t16.560000\n1401958049\t16.440000\n1401958649\t16.500000\n1401959250\t16.500000\n1401959850\t16.380000\n1401960451\t16.440000\n1401961051\t16.620000\n1401961652\t16.620000\n1401962252\t16.620000\n1401962853\t16.620000\n1401963454\t16.690000\n1401964054\t16.810000\n1401964655\t16.620000\n1401965255\t16.690000\n1401965856\t16.940000\n1401966456\t17.440000\n1401967057\t17.380000\n1401967657\t17.620000\n1401968258\t18.000000\n1401968858\t18.380000\n1401969459\t18.620000\n1401970059\t18.440000\n1401970660\t17.750000\n1401971261\t17.880000\n1401971861\t18.190000\n1401972477\t18.560000\n1401973077\t18.690000\n1401973678\t18.940000\n1401974278\t19.060000\n1401974879\t18.750000\n1401975479\t19.120000\n1401976080\t19.380000\n1401976680\t18.690000\n1401977281\t18.500000\n1401977881\t19.000000\n1401978482\t19.000000\n1401979083\t18.310000\n1401979683\t18.000000\n1401980284\t17.880000\n1401980884\t17.690000\n1401981485\t17.560000\n1401982085\t17.310000\n1401982686\t17.120000\n1401983286\t17.120000\n1401983887\t17.120000\n1401984487\t17.000000\n1401985088\t17.250000\n1401985688\t16.940000\n1401986289\t16.810000\n1401986889\t16.750000\n1401987490\t19.810000\n1401988090\t21.380000\n1401988691\t18.500000\n1401989291\t17.560000\n1401989907\t17.810000\n1401990508\t18.690000\n1401991108\t18.380000\n1401991709\t18.060000\n1401992309\t17.690000\n1401992910\t17.310000\n1401993510\t17.060000\n1401994111\t16.810000\n1401994711\t16.560000\n1401995312\t16.380000\n1401995912\t16.250000\n1401996513\t16.000000\n1401997113\t15.880000\n1401997714\t15.620000\n1401998314\t15.500000\n1401998915\t15.380000\n1401999515\t15.250000\n1402000116\t15.060000\n1402000716\t14.940000\n1402001317\t14.880000\n1402001918\t14.810000\n1402002518\t14.690000\n1402003119\t14.560000\n1402003719\t14.560000\n1402004320\t14.500000\n1402004920\t14.440000\n1402005521\t14.310000\n1402006121\t14.190000\n1402006722\t14.060000\n1402007337\t14.000000\n1402007938\t14.060000\n1402008538\t14.120000\n1402009139\t14.060000\n1402009739\t14.120000\n1402010340\t14.060000\n1402010941\t14.060000\n1402011541\t14.000000\n1402012142\t14.060000\n1402012742\t14.000000\n1402013343\t13.940000\n1402013943\t13.940000\n1402014544\t13.810000\n1402015144\t13.880000\n1402015745\t13.940000\n1402016345\t13.940000\n1402016946\t13.940000\n1402017546\t13.880000\n1402018147\t13.940000\n1402018748\t14.000000\n1402019348\t13.880000\n1402019949\t13.940000\n1402020549\t13.940000\n1402021150\t13.940000\n1402021750\t13.940000\n1402022351\t13.940000\n1402022951\t13.810000\n1402023552\t13.750000\n1402024152\t13.620000\n1402024768\t13.810000\n1402025368\t13.810000\n1402025969\t13.810000\n1402026569\t14.060000\n1402027170\t14.250000\n1402027771\t14.440000\n1402028371\t14.690000\n1402028972\t14.940000\n1402029572\t14.940000\n1402030173\t14.940000\n1402030773\t15.000000\n1402031374\t15.060000\n1402031974\t15.120000\n1402032575\t15.440000\n1402033175\t15.380000\n1402033776\t15.380000\n1402034376\t15.560000\n1402034977\t15.750000\n1402035578\t15.880000\n1402036178\t15.880000\n1402036779\t16.060000\n1402037379\t16.500000\n1402037980\t16.380000\n1402038580\t16.500000\n1402039181\t16.560000\n1402039781\t17.380000\n1402040382\t16.690000\n1402040998\t17.190000\n1402041598\t17.810000\n1402042199\t18.750000\n1402042799\t17.000000\n1402043400\t18.310000\n1402044000\t18.560000\n1402044601\t18.750000\n1402045201\t19.000000\n1402045802\t18.750000\n1402046402\t18.880000\n1402047003\t19.190000\n1402047603\t19.500000\n1402048204\t19.250000\n1402048804\t19.560000\n1402049405\t19.880000\n1402050005\t19.880000\n1402050606\t19.380000\n1402051206\t19.380000\n1402051807\t19.560000\n1402052407\t19.810000\n1402053008\t20.500000\n1402053609\t19.690000\n1402054209\t19.750000\n1402054810\t19.620000\n1402055410\t19.440000\n1402056011\t19.880000\n1402056611\t19.940000\n1402057212\t20.000000\n1402057812\t19.690000\n1402058413\t19.750000\n1402059028\t19.810000\n1402059629\t19.940000\n1402060229\t20.250000\n1402060830\t20.880000\n1402061430\t20.940000\n1402062031\t20.560000\n1402062631\t19.750000\n1402063232\t19.750000\n1402063832\t19.940000\n1402064433\t20.000000\n1402065034\t20.250000\n1402065634\t20.380000\n1402066235\t20.560000\n1402066835\t20.250000\n1402067436\t20.310000\n1402068036\t20.310000\n1402068637\t20.060000\n1402069237\t20.380000\n1402069838\t21.000000\n1402070438\t20.560000\n1402071039\t20.190000\n1402071639\t19.810000\n1402072240\t19.880000\n1402072840\t20.810000\n1402073441\t20.500000\n1402074041\t19.690000\n1402074642\t19.380000\n1402075243\t19.250000\n1402075858\t19.880000\n1402076459\t19.190000\n1402077059\t18.620000\n1402077660\t18.440000\n1402078260\t18.120000\n1402078861\t17.940000\n1402079461\t17.750000\n1402080062\t17.560000\n1402080662\t17.440000\n1402081263\t17.310000\n1402081863\t17.190000\n1402082464\t17.120000\n1402083065\t16.810000\n1402083665\t16.250000\n1402084266\t15.940000\n1402084866\t15.810000\n1402085467\t14.940000\n1402086067\t14.940000\n1402086668\t15.060000\n1402087268\t15.190000\n1402087869\t15.060000\n1402088469\t14.750000\n1402089070\t14.690000\n1402089670\t14.000000\n1402090271\t13.810000\n1402090871\t13.690000\n1402091472\t13.620000\n1402092073\t13.440000\n1402092673\t13.940000\n1402093289\t14.190000\n1402093889\t13.880000\n1402094490\t13.690000\n1402095090\t14.000000\n1402095691\t13.880000\n1402096291\t14.000000\n1402096892\t14.060000\n1402097492\t14.060000\n1402098093\t14.000000\n1402098693\t14.060000\n1402099294\t14.000000\n1402099894\t13.880000\n1402100495\t13.690000\n1402101095\t13.620000\n1402101696\t13.500000\n1402102297\t13.440000\n1402102897\t13.120000\n1402103498\t12.880000\n1402104098\t12.690000\n1402104699\t12.750000\n1402105299\t12.620000\n1402105900\t12.750000\n1402106500\t12.880000\n1402107101\t12.810000\n1402107701\t12.750000\n1402108302\t12.690000\n1402108902\t12.880000\n1402109503\t12.940000\n1402110104\t12.880000\n1402110704\t13.000000\n1402111320\t13.250000\n1402111920\t13.440000\n1402112521\t13.560000\n1402113121\t13.620000\n1402113722\t13.560000\n1402114322\t13.560000\n1402114923\t13.750000\n1402115523\t13.810000\n1402116124\t14.060000\n1402116724\t14.500000\n1402117325\t14.620000\n1402117925\t14.810000\n1402118526\t14.880000\n1402119127\t14.940000\n1402119727\t15.000000\n1402120328\t15.000000\n1402120928\t14.810000\n1402121529\t14.750000\n1402122129\t14.750000\n1402122730\t14.750000\n1402123330\t14.940000\n1402123931\t15.000000\n1402124531\t15.060000\n1402125132\t15.060000\n1402125733\t15.310000\n1402126333\t15.690000\n1402126934\t16.060000\n1402127534\t16.250000\n1402128135\t16.060000\n1402128735\t15.880000\n1402129351\t16.190000\n1402129951\t16.380000\n1402130552\t15.940000\n1402131152\t16.250000\n1402131753\t16.560000\n1402132353\t17.880000\n1402132954\t17.940000\n1402133554\t18.190000\n1402134155\t18.250000\n1402134755\t17.190000\n1402135356\t17.310000\n1402135956\t16.560000\n1402136557\t16.250000\n1402137157\t16.000000\n1402137758\t15.750000\n1402138359\t15.250000\n1402138959\t14.810000\n1402139560\t14.620000\n1402140160\t14.810000\n1402140761\t15.380000\n1402141361\t16.380000\n1402141962\t17.060000\n1402142562\t17.190000\n1402143163\t17.500000\n1402143763\t17.500000\n1402144364\t17.060000\n1402144965\t17.500000\n1402145565\t18.310000\n1402146165\t19.060000\n1402146766\t19.620000\n1402147382\t19.310000\n1402147982\t19.190000\n1402148583\t18.500000\n1402149183\t18.940000\n1402149784\t18.810000\n1402150384\t18.310000\n1402150985\t18.810000\n1402151585\t18.810000\n1402152186\t19.810000\n1402152786\t19.060000\n1402153387\t18.310000\n1402153987\t18.880000\n1402154588\t18.810000\n1402155188\t18.310000\n1402155789\t18.440000\n1402156390\t19.190000\n1402156990\t19.440000\n1402157591\t18.560000\n1402158191\t18.000000\n1402158792\t17.620000\n1402159392\t17.620000\n1402159993\t17.940000\n1402160593\t18.120000\n1402161194\t18.690000\n1402161794\t17.500000\n1402162395\t17.120000\n1402162995\t17.620000\n1402163596\t17.810000\n1402164197\t17.380000\n1402164812\t17.120000\n1402165413\t17.000000\n1402166013\t17.310000\n1402166614\t17.060000\n1402167214\t16.690000\n1402167815\t16.750000\n1402168415\t16.500000\n1402169016\t16.060000\n1402169616\t15.750000\n1402170217\t15.440000\n1402170817\t15.120000\n1402171418\t14.940000\n1402172018\t14.810000\n1402172619\t14.560000\n1402173220\t14.310000\n1402173820\t14.190000\n1402174421\t14.060000\n1402175021\t14.000000\n1402175622\t13.880000\n1402176222\t13.620000\n1402176823\t13.440000\n1402177423\t13.190000\n1402178024\t13.190000\n1402178624\t13.060000\n1402179225\t12.880000\n1402179825\t13.000000\n1402180426\t12.620000\n1402181026\t12.620000\n1402181627\t12.560000\n1402182227\t12.500000\n1402182843\t12.440000\n1402183444\t12.440000\n1402184044\t12.380000\n1402184645\t12.380000\n1402185245\t12.380000\n1402185846\t12.310000\n1402186446\t12.310000\n1402187047\t12.310000\n1402187647\t12.250000\n1402188248\t12.250000\n1402188848\t12.060000\n1402189449\t12.120000\n1402190049\t12.190000\n1402190650\t12.190000\n1402191250\t12.060000\n1402191851\t12.000000\n1402192451\t12.060000\n1402193052\t12.060000\n1402193652\t12.060000\n1402194253\t12.060000\n1402194853\t12.120000\n1402195454\t12.120000\n1402196055\t12.250000\n1402196655\t12.380000\n1402197256\t12.500000\n1402197856\t12.690000\n1402198457\t12.750000\n1402199057\t12.880000\n1402199658\t13.000000\n1402200273\t13.120000\n1402200874\t13.310000\n1402201474\t13.440000\n1402202075\t13.440000\n1402202675\t13.690000\n1402203276\t13.940000\n1402203877\t14.190000\n1402204477\t14.380000\n1402205078\t14.690000\n1402205678\t14.810000\n1402206279\t15.120000\n1402206879\t15.310000\n1402207480\t15.620000\n1402208080\t15.880000\n1402208681\t16.380000\n1402209281\t16.440000\n1402209882\t16.440000\n1402210482\t16.750000\n1402211083\t17.250000\n1402211684\t17.310000\n1402212284\t17.560000\n1402212885\t17.880000\n1402213485\t17.940000\n1402214086\t18.120000\n1402214686\t18.440000\n1402215287\t18.440000\n1402215887\t18.750000\n1402216488\t19.060000\n1402217088\t19.310000\n1402217689\t19.500000\n1402218289\t19.750000\n1402218890\t20.120000\n1402219505\t20.250000\n1402220106\t20.310000\n1402220706\t20.880000\n1402221307\t20.810000\n1402221908\t20.880000\n1402222508\t20.880000\n1402223109\t21.060000\n1402223709\t21.120000\n1402224310\t21.310000\n1402224910\t21.000000\n1402225511\t21.440000\n1402226111\t21.620000\n1402226712\t21.750000\n1402227313\t21.880000\n1402227913\t22.060000\n1402228514\t21.880000\n1402229114\t21.810000\n1402229715\t21.940000\n1402230315\t22.060000\n1402230916\t22.000000\n1402231516\t22.250000\n1402232117\t22.440000\n1402232717\t22.620000\n1402233318\t22.810000\n1402233918\t22.810000\n1402234519\t23.000000\n1402235119\t23.000000\n1402235720\t23.190000\n1402236320\t23.250000\n1402236921\t23.250000\n1402237522\t23.380000\n1402238137\t23.500000\n1402238738\t23.440000\n1402239338\t23.690000\n1402239939\t23.500000\n1402240539\t23.620000\n1402241140\t23.880000\n1402241740\t24.310000\n1402242341\t24.560000\n1402242941\t23.940000\n1402243542\t24.440000\n1402244143\t25.620000\n1402244743\t27.560000\n1402245344\t27.500000\n1402245944\t27.380000\n1402246545\t27.000000\n1402247145\t26.690000\n1402247746\t25.750000\n1402248346\t25.250000\n1402248947\t24.440000\n1402249547\t24.250000\n1402250148\t23.940000\n1402250748\t22.620000\n1402251349\t21.940000\n1402251950\t21.500000\n1402252550\t21.250000\n1402253151\t20.940000\n1402253751\t20.560000\n1402254352\t20.120000\n1402254952\t19.810000\n1402255553\t19.620000\n1402256168\t19.380000\n1402256769\t19.060000\n1402257369\t18.690000\n1402257970\t18.500000\n1402258570\t18.440000\n1402259171\t18.440000\n1402259772\t18.380000\n1402260372\t18.250000\n1402260973\t18.000000\n1402261573\t17.880000\n1402262174\t17.810000\n1402262774\t17.880000\n1402263375\t17.690000\n1402263975\t17.560000\n1402264576\t16.880000\n1402265176\t16.750000\n1402265777\t16.620000\n1402266377\t16.500000\n1402266978\t16.810000\n1402267578\t16.690000\n1402268179\t16.500000\n1402268780\t16.500000\n1402269380\t16.560000\n1402269981\t16.620000\n1402270581\t16.500000\n1402271182\t16.250000\n1402271782\t16.060000\n1402272383\t15.880000\n1402272983\t15.750000\n1402273584\t15.620000\n1402274184\t15.500000\n1402274785\t15.190000\n1402275385\t15.250000\n1402275986\t15.310000\n1402276586\t15.190000\n1402277187\t15.060000\n1402277803\t15.060000\n1402278403\t14.880000\n1402279004\t14.750000\n1402279604\t14.880000\n1402280205\t15.060000\n1402280805\t15.060000\n1402281406\t15.120000\n1402282006\t15.060000\n1402282607\t15.060000\n1402283207\t15.000000\n1402283808\t14.690000\n1402284408\t14.810000\n1402285009\t14.940000\n1402285609\t15.120000\n1402286210\t15.250000\n1402286811\t15.380000\n1402287411\t15.380000\n1402288012\t15.380000\n1402288612\t15.500000\n1402289213\t15.620000\n1402289813\t15.690000\n1402290414\t15.880000\n1402291014\t16.250000\n1402291615\t16.560000\n1402292215\t16.690000\n1402292816\t16.620000\n1402293416\t16.690000\n1402294017\t16.880000\n1402294617\t17.000000\n1402295218\t17.120000\n1402295818\t17.000000\n1402296419\t17.440000\n1402297019\t17.750000\n1402297635\t18.120000\n1402298236\t18.120000\n1402298836\t18.500000\n1402299437\t19.000000\n1402300037\t18.880000\n1402300638\t19.380000\n1402301238\t19.500000\n1402301839\t19.620000\n1402302439\t20.060000\n1402303040\t19.940000\n1402303640\t20.000000\n1402304241\t20.250000\n1402304841\t20.120000\n1402305442\t20.500000\n1402306042\t20.620000\n1402306643\t20.750000\n1402307244\t20.620000\n1402307844\t20.880000\n1402308445\t20.940000\n1402309045\t21.120000\n1402309646\t21.310000\n1402310246\t21.560000\n1402310847\t21.810000\n1402311447\t21.880000\n1402312048\t22.000000\n1402312648\t22.250000\n1402313249\t22.440000\n1402313849\t22.560000\n1402314450\t22.880000\n1402315050\t22.880000\n1402315651\t22.880000\n1402316267\t23.000000\n1402316867\t23.310000\n1402317468\t23.380000\n1402318068\t23.310000\n1402318669\t23.750000\n1402319269\t23.750000\n1402319870\t23.750000\n1402320470\t23.620000\n1402321071\t23.750000\n1402321671\t23.880000\n1402322272\t24.060000\n1402322873\t23.810000\n1402323473\t24.120000\n1402324074\t24.060000\n1402324674\t24.000000\n1402325275\t24.380000\n1402325875\t24.500000\n1402326476\t24.310000\n1402327076\t24.620000\n1402327677\t24.940000\n1402328277\t25.440000\n1402328878\t25.250000\n1402329478\t25.440000\n1402330079\t25.750000\n1402330680\t27.560000\n1402331280\t28.880000\n1402331881\t29.620000\n1402332481\t28.880000\n1402333082\t28.440000\n1402333682\t27.690000\n1402334283\t27.250000\n1402334883\t26.560000\n1402335499\t26.120000\n1402336099\t25.500000\n1402336700\t25.000000\n1402337300\t23.880000\n1402337901\t23.440000\n1402338501\t22.940000\n1402339102\t22.310000\n1402339702\t22.120000\n1402340303\t21.880000\n1402340903\t21.440000\n1402341504\t21.190000\n1402342104\t21.060000\n1402342705\t21.060000\n1402343305\t20.750000\n1402343906\t20.620000\n1402344506\t20.060000\n1402345107\t20.060000\n1402345707\t19.940000\n1402346308\t19.620000\n1402346908\t19.810000\n1402347509\t19.620000\n1402348110\t19.750000\n1402348710\t19.750000\n1402349311\t19.750000\n1402349911\t19.620000\n1402350512\t19.500000\n1402351112\t19.190000\n1402351713\t19.060000\n1402352313\t18.940000\n1402352929\t18.620000\n1402353529\t18.560000\n1402354130\t18.250000\n1402354731\t18.250000\n1402355331\t18.060000\n1402355932\t18.060000\n1402356532\t18.060000\n1402357133\t17.940000\n1402357733\t17.880000\n1402358334\t17.810000\n1402358934\t17.440000\n1402359535\t17.310000\n1402360135\t17.250000\n1402360736\t17.190000\n1402361336\t17.000000\n1402361937\t16.810000\n1402362538\t16.690000\n1402363138\t16.560000\n1402363739\t16.440000\n1402364339\t16.440000\n1402364940\t16.380000\n1402365540\t16.190000\n1402366141\t16.190000\n1402366741\t16.190000\n1402367342\t16.060000\n1402367942\t16.000000\n1402368543\t15.880000\n1402369143\t15.880000\n1402369744\t15.880000\n1402370344\t15.940000\n1402370945\t16.060000\n1402371561\t16.060000\n1402372161\t16.120000\n1402372762\t16.120000\n1402373362\t16.190000\n1402373963\t16.250000\n1402374563\t16.250000\n1402375164\t16.310000\n1402375764\t16.440000\n1402376365\t16.560000\n1402376965\t16.750000\n1402377566\t16.810000\n1402378166\t17.000000\n1402378767\t17.190000\n1402379367\t17.380000\n1402379968\t17.560000\n1402380569\t17.810000\n1402381169\t18.120000\n1402381770\t18.690000\n1402382370\t19.250000\n1402382971\t19.690000\n1402383571\t19.940000\n1402384172\t20.190000\n1402384772\t20.440000\n1402385373\t20.560000\n1402385973\t20.810000\n1402386574\t21.000000\n1402387174\t20.690000\n1402387775\t20.810000\n1402388375\t21.310000\n1402388976\t21.310000\n1402389577\t21.380000\n1402390192\t21.690000\n1402390793\t21.440000\n1402391393\t21.750000\n1402391994\t22.060000\n1402392594\t22.440000\n1402393195\t22.440000\n1402393795\t22.690000\n1402394396\t22.500000\n1402394996\t22.810000\n1402395597\t23.060000\n1402396198\t23.250000\n1402396798\t22.940000\n1402397399\t23.120000\n1402397999\t23.380000\n1402398600\t23.620000\n1402399200\t23.880000\n1402399801\t23.940000\n1402400401\t23.940000\n1402401002\t23.880000\n1402401602\t24.250000\n1402402203\t24.560000\n1402402803\t24.380000\n1402403404\t24.810000\n1402404004\t25.120000\n1402404605\t25.380000\n1402405206\t25.500000\n1402405806\t25.560000\n1402406407\t25.620000\n1402407022\t25.810000\n1402407623\t25.750000\n1402408223\t25.750000\n1402408824\t25.750000\n1402409424\t25.880000\n1402410025\t26.000000\n1402410625\t25.940000\n1402411226\t25.750000\n1402411827\t25.880000\n1402412427\t25.880000\n1402413028\t26.000000\n1402413628\t25.940000\n1402414229\t26.120000\n1402414829\t26.120000\n1402415430\t26.120000\n1402416030\t26.250000\n1402416631\t27.250000\n1402417231\t30.620000\n1402417832\t33.120000\n1402418432\t33.120000\n1402419033\t32.120000\n1402419634\t31.000000\n1402420234\t29.940000\n1402420835\t28.810000\n1402421435\t27.250000\n1402422036\t26.190000\n1402422636\t26.000000\n1402423237\t26.190000\n1402423837\t25.190000\n1402424438\t24.500000\n1402425053\t24.060000\n1402425654\t23.810000\n1402426255\t23.310000\n1402426855\t22.750000\n1402427456\t22.440000\n1402428056\t22.120000\n1402428657\t21.750000\n1402429257\t21.500000\n1402429858\t21.310000\n1402430458\t20.690000\n1402431059\t20.440000\n1402431659\t20.120000\n1402432260\t19.500000\n1402432860\t19.250000\n1402433461\t19.120000\n1402434061\t19.060000\n1402434662\t19.120000\n1402435263\t19.120000\n1402435863\t19.000000\n1402436464\t18.810000\n1402437064\t18.620000\n1402437665\t18.560000\n1402438265\t18.500000\n1402438866\t18.380000\n1402439466\t18.380000\n1402440067\t18.310000\n1402440667\t17.880000\n1402441268\t17.620000\n1402441868\t17.440000\n1402442469\t17.250000\n1402443085\t17.000000\n1402443685\t16.750000\n1402444286\t16.620000\n1402444886\t16.560000\n1402445487\t16.750000\n1402446087\t16.880000\n1402446688\t16.750000\n1402447289\t16.940000\n1402447889\t16.810000\n1402448490\t16.750000\n1402449090\t16.750000\n1402449691\t16.750000\n1402450291\t16.880000\n1402450892\t16.940000\n1402451492\t16.940000\n1402452093\t17.000000\n1402452693\t17.060000\n1402453294\t16.880000\n1402453894\t16.810000\n1402454495\t17.060000\n1402455095\t17.380000\n1402455696\t17.500000\n1402456297\t17.560000\n1402456897\t17.620000\n1402457498\t17.690000\n1402458098\t17.880000\n1402458699\t18.060000\n1402459299\t18.190000\n1402459900\t18.310000\n1402460500\t18.440000\n1402461101\t18.560000\n1402461716\t18.620000\n1402462317\t18.620000\n1402462918\t18.560000\n1402463518\t18.750000\n1402464119\t18.810000\n1402464719\t19.060000\n1402465320\t19.250000\n1402465920\t19.500000\n1402466521\t19.190000\n1402467121\t18.880000\n1402467722\t18.750000\n1402468322\t18.810000\n1402468923\t19.190000\n1402469523\t19.310000\n1402470124\t19.690000\n1402470725\t19.690000\n1402471325\t19.880000\n1402471926\t20.120000\n1402472526\t20.250000\n1402473127\t20.810000\n1402473727\t20.690000\n1402474328\t21.440000\n1402474928\t22.000000\n1402475529\t22.810000\n1402476129\t22.310000\n1402476730\t22.380000\n1402477330\t23.190000\n1402477931\t22.810000\n1402478531\t23.060000\n1402479132\t23.190000\n1402479747\t23.500000\n1402480348\t23.190000\n1402480948\t22.940000\n1402481549\t22.880000\n1402482149\t24.250000\n1402482750\t23.880000\n1402483351\t23.690000\n1402483951\t23.500000\n1402484552\t22.560000\n1402485152\t21.750000\n1402485753\t20.690000\n1402486353\t19.690000\n1402486954\t19.190000\n1402487554\t19.120000\n1402488155\t19.000000\n1402488755\t19.120000\n1402489356\t19.120000\n1402489956\t19.310000\n1402490557\t19.380000\n1402491158\t19.310000\n1402491758\t19.440000\n1402492359\t19.500000\n1402492959\t19.620000\n1402493560\t20.000000\n1402494160\t19.880000\n1402494761\t19.880000\n1402495361\t19.750000\n1402495962\t19.620000\n1402496562\t19.690000\n1402497163\t19.940000\n1402497764\t19.940000\n1402498364\t19.750000\n1402498980\t19.690000\n1402499580\t20.060000\n1402500181\t19.940000\n1402500781\t19.880000\n1402501382\t19.880000\n1402501982\t19.940000\n1402502583\t20.000000\n1402503183\t20.000000\n1402503784\t20.380000\n1402504384\t20.120000\n1402504985\t21.940000\n1402505585\t23.310000\n1402506186\t23.940000\n1402506786\t23.750000\n1402507387\t22.940000\n1402507987\t22.560000\n1402508588\t22.380000\n1402509188\t22.560000\n1402509789\t22.250000\n1402510390\t21.940000\n1402510990\t21.560000\n1402511591\t21.380000\n1402512191\t21.060000\n1402512792\t20.880000\n1402513392\t20.560000\n1402513993\t20.250000\n1402514593\t20.000000\n1402515194\t19.690000\n1402515794\t19.440000\n1402516410\t19.120000\n1402517010\t19.000000\n1402517611\t18.690000\n1402518211\t18.310000\n1402518812\t17.880000\n1402519413\t17.560000\n1402520013\t17.500000\n1402520614\t17.250000\n1402521214\t17.190000\n1402521815\t17.000000\n1402522415\t16.810000\n1402523016\t16.500000\n1402523616\t16.120000\n1402524217\t16.060000\n1402524817\t15.750000\n1402525418\t15.440000\n1402526018\t15.120000\n1402526619\t14.750000\n1402527219\t14.620000\n1402527820\t14.440000\n1402528420\t14.690000\n1402529021\t14.620000\n1402529622\t14.560000\n1402530222\t14.560000\n1402530823\t14.560000\n1402531423\t14.440000\n1402532024\t14.120000\n1402532624\t14.310000\n1402533225\t14.310000\n1402533825\t14.310000\n1402534441\t14.060000\n1402535041\t13.750000\n1402535642\t13.750000\n1402536242\t13.690000\n1402536843\t13.500000\n1402537443\t13.620000\n1402538044\t13.690000\n1402538645\t13.500000\n1402539245\t13.560000\n1402539846\t13.440000\n1402540446\t13.250000\n1402541047\t13.310000\n1402541647\t13.380000\n1402542248\t13.500000\n1402542848\t13.690000\n1402543449\t13.690000\n1402544049\t13.810000\n1402544650\t13.940000\n1402545250\t14.000000\n1402545851\t14.190000\n1402546451\t14.380000\n1402547052\t14.560000\n1402547653\t14.880000\n1402548253\t15.120000\n1402548854\t15.190000\n1402549454\t15.190000\n1402550055\t15.190000\n1402550655\t15.560000\n1402551271\t16.060000\n1402551871\t15.810000\n1402552472\t16.060000\n1402553072\t17.060000\n1402553673\t17.120000\n1402554273\t16.310000\n1402554874\t16.310000\n1402555475\t16.500000\n1402556075\t17.310000\n1402556676\t18.250000\n1402557276\t17.880000\n1402557877\t18.190000\n1402558477\t18.810000\n1402559078\t19.060000\n1402559678\t19.380000\n1402560279\t19.560000\n1402560879\t19.750000\n1402561480\t19.810000\n1402562080\t19.880000\n1402562681\t20.120000\n1402563281\t20.190000\n1402563882\t20.250000\n1402564483\t20.690000\n1402565083\t20.810000\n1402565684\t21.000000\n1402566284\t20.560000\n1402566885\t20.810000\n1402567485\t20.940000\n1402568086\t20.940000\n1402568701\t20.880000\n1402569302\t21.120000\n1402569902\t21.120000\n1402570503\t21.440000\n1402571103\t21.560000\n1402571704\t21.560000\n1402572305\t21.750000\n1402572905\t21.940000\n1402573506\t22.060000\n1402574106\t21.690000\n1402574707\t22.000000\n1402575307\t22.060000\n1402575908\t22.120000\n1402576508\t21.940000\n1402577109\t22.190000\n1402577709\t22.190000\n1402578310\t21.940000\n1402578910\t21.940000\n1402579511\t22.000000\n1402580111\t22.000000\n1402580712\t22.000000\n1402581313\t22.000000\n1402581913\t21.940000\n1402582514\t22.000000\n1402583114\t22.000000\n1402583715\t22.250000\n1402584315\t21.560000\n1402584916\t22.120000\n1402585516\t22.060000\n1402586117\t22.250000\n1402586717\t22.620000\n1402587333\t21.690000\n1402587934\t21.560000\n1402588534\t22.500000\n1402589134\t22.880000\n1402589735\t24.310000\n1402590336\t25.500000\n1402590936\t21.880000\n1402591537\t20.380000\n1402592137\t21.380000\n1402592738\t23.060000\n1402593338\t21.750000\n1402593939\t20.560000\n1402594539\t20.880000\n1402595140\t20.250000\n1402595740\t19.940000\n1402596341\t19.560000\n1402596942\t19.310000\n1402597542\t19.120000\n1402598143\t19.000000\n1402598743\t18.880000\n1402599344\t18.620000\n1402599944\t18.560000\n1402600545\t18.190000\n1402601145\t17.750000\n1402601746\t17.750000\n1402602346\t17.560000\n1402602947\t17.440000\n1402603547\t17.380000\n1402604148\t17.060000\n1402604748\t16.880000\n1402605349\t17.000000\n1402605965\t17.000000\n1402606565\t16.880000\n1402607166\t16.940000\n1402607766\t16.690000\n1402608367\t16.750000\n1402608967\t16.380000\n1402609568\t15.940000\n1402610168\t15.810000\n1402610769\t15.620000\n1402611369\t15.310000\n1402611970\t15.500000\n1402612570\t15.310000\n1402613171\t15.120000\n1402613771\t15.250000\n1402614372\t15.120000\n1402614973\t15.000000\n1402615573\t14.940000\n1402616174\t14.940000\n1402616774\t14.560000\n1402617375\t14.250000\n1402617975\t14.060000\n1402618576\t13.940000\n1402619176\t13.940000\n1402619777\t13.880000\n1402620377\t13.750000\n1402620978\t13.560000\n1402621578\t13.440000\n1402622179\t13.250000\n1402622779\t13.120000\n1402623380\t13.000000\n1402623995\t12.940000\n1402624596\t12.940000\n1402625197\t12.940000\n1402625797\t12.940000\n1402626398\t12.940000\n1402626998\t12.940000\n1402627599\t13.000000\n1402628199\t13.060000\n1402628800\t13.120000\n1402629400\t13.310000\n1402630001\t13.250000\n1402630601\t13.310000\n1402631202\t13.560000\n1402631802\t13.810000\n1402632403\t14.190000\n1402633003\t14.310000\n1402633604\t14.310000\n1402634204\t14.560000\n1402634805\t14.750000\n1402635406\t14.620000\n1402636006\t14.810000\n1402636607\t14.500000\n1402637207\t13.690000\n1402637808\t13.750000\n1402638408\t13.690000\n1402639009\t13.880000\n1402639609\t13.810000\n1402640210\t14.060000\n1402640810\t14.380000\n1402641411\t14.380000\n1402642011\t14.560000\n1402642627\t14.940000\n1402643227\t15.250000\n1402643828\t15.250000\n1402644429\t15.810000\n1402645029\t15.880000\n1402645630\t16.000000\n1402646230\t16.310000\n1402646831\t16.310000\n1402647431\t16.560000\n1402648032\t17.000000\n1402648632\t17.000000\n1402649233\t17.120000\n1402649833\t17.500000\n1402650434\t17.750000\n1402651034\t17.690000\n1402651635\t17.500000\n1402652236\t17.120000\n1402652836\t17.620000\n1402653437\t17.690000\n1402654037\t17.000000\n1402654638\t17.380000\n1402655238\t17.120000\n1402655839\t16.810000\n1402656439\t18.750000\n1402657040\t19.000000\n1402657640\t18.380000\n1402658241\t18.190000\n1402658841\t19.190000\n1402659442\t18.880000\n1402660042\t19.310000\n1402660643\t19.690000\n1402661243\t20.000000\n1402661859\t18.440000\n1402662460\t18.690000\n1402663060\t18.000000\n1402663661\t18.750000\n1402664261\t18.560000\n1402664862\t17.810000\n1402665462\t18.190000\n1402666063\t18.190000\n1402666663\t18.750000\n1402667264\t19.440000\n1402667864\t19.000000\n1402668465\t19.000000\n1402669065\t18.310000\n1402669666\t18.190000\n1402670266\t18.060000\n1402670867\t17.880000\n1402671467\t17.500000\n1402672068\t17.120000\n1402672668\t17.250000\n1402673269\t16.560000\n1402673870\t16.440000\n1402674470\t16.310000\n1402675071\t16.060000\n1402675671\t16.190000\n1402676272\t16.500000\n1402676872\t16.310000\n1402677473\t16.060000\n1402678073\t15.940000\n1402678674\t15.810000\n1402679274\t15.620000\n1402679875\t15.380000\n1402680475\t15.250000\n1402681076\t15.190000\n1402681692\t15.060000\n1402682292\t14.810000\n1402682893\t14.560000\n1402683493\t14.380000\n1402684094\t14.440000\n1402684694\t14.380000\n1402685295\t14.310000\n1402685895\t14.250000\n1402686496\t14.120000\n1402687096\t14.120000\n1402687697\t14.120000\n1402688297\t14.000000\n1402688898\t13.940000\n1402689498\t13.810000\n1402690099\t13.690000\n1402690700\t13.810000\n1402691300\t13.690000\n1402691901\t13.690000\n1402692501\t13.690000\n1402693102\t13.620000\n1402693702\t13.560000\n1402694303\t13.500000\n1402694903\t13.380000\n1402695504\t13.190000\n1402696104\t13.120000\n1402696705\t13.120000\n1402697305\t12.940000\n1402697906\t12.880000\n1402698506\t12.880000\n1402699107\t12.810000\n1402699708\t12.750000\n1402700308\t12.500000\n1402700909\t12.440000\n1402701509\t12.310000\n1402702110\t12.190000\n1402702725\t12.060000\n1402703326\t12.000000\n1402703926\t12.060000\n1402704527\t12.060000\n1402705127\t11.940000\n1402705728\t11.810000\n1402706329\t11.810000\n1402706929\t11.810000\n1402707530\t11.690000\n1402708130\t11.440000\n1402708731\t11.560000\n1402709331\t11.690000\n1402709932\t11.620000\n1402710532\t11.690000\n1402711133\t11.500000\n1402711733\t11.380000\n1402712334\t11.120000\n1402712934\t11.060000\n1402713535\t11.120000\n1402714136\t11.190000\n1402714736\t10.940000\n1402715337\t11.000000\n1402715937\t10.940000\n1402716538\t10.880000\n1402717138\t10.940000\n1402717739\t10.940000\n1402718339\t10.940000\n1402718940\t10.940000\n1402719540\t10.940000\n1402720141\t11.060000\n1402720741\t11.000000\n1402721357\t11.120000\n1402721957\t11.250000\n1402722558\t11.310000\n1402723159\t11.500000\n1402723759\t11.560000\n1402724360\t11.750000\n1402724960\t11.880000\n1402725561\t12.120000\n1402726161\t12.310000\n1402726762\t12.620000\n1402727362\t13.120000\n1402727963\t13.560000\n1402728563\t13.810000\n1402729164\t14.120000\n1402729765\t14.620000\n1402730365\t15.000000\n1402730966\t15.250000\n1402731566\t15.190000\n1402732167\t15.310000\n1402732767\t15.620000\n1402733368\t15.810000\n1402733968\t15.620000\n1402734569\t15.690000\n1402735169\t16.000000\n1402735770\t16.440000\n1402736370\t16.560000\n1402736971\t16.810000\n1402737587\t17.000000\n1402738187\t17.120000\n1402738788\t17.060000\n1402739388\t17.250000\n1402739989\t17.250000\n1402740589\t17.620000\n1402741190\t17.500000\n1402741790\t17.690000\n1402742391\t17.250000\n1402742991\t17.190000\n1402743592\t17.690000\n1402744192\t18.190000\n1402744793\t18.380000\n1402745393\t18.060000\n1402745994\t18.500000\n1402746595\t18.620000\n1402747195\t18.690000\n1402747796\t18.620000\n1402748396\t18.810000\n1402748997\t18.940000\n1402749597\t19.250000\n1402750198\t19.060000\n1402750798\t19.310000\n1402751399\t19.060000\n1402751999\t19.380000\n1402752600\t19.440000\n1402753200\t19.500000\n1402753801\t19.560000\n1402754401\t19.440000\n1402755002\t19.560000\n1402755603\t19.440000\n1402756218\t19.190000\n1402756819\t19.060000\n1402757419\t18.940000\n1402758020\t18.940000\n1402758620\t18.690000\n1402759221\t18.750000\n1402759821\t19.000000\n1402760422\t18.940000\n1402761022\t19.060000\n1402761623\t19.120000\n1402762223\t20.190000\n1402762824\t23.690000\n1402763424\t26.690000\n1402764025\t27.060000\n1402764626\t26.380000\n1402765226\t25.310000\n1402765827\t24.380000\n1402766427\t23.190000\n1402767028\t21.000000\n1402767628\t19.940000\n1402768229\t19.000000\n1402768829\t19.250000\n1402769430\t18.120000\n1402770030\t17.620000\n1402770631\t17.250000\n1402771231\t16.880000\n1402771832\t16.620000\n1402772432\t16.120000\n1402773033\t15.690000\n1402773634\t15.380000\n1402774249\t15.060000\n1402774850\t14.940000\n1402775450\t14.750000\n1402776051\t14.620000\n1402776651\t14.380000\n1402777252\t14.120000\n1402777852\t13.940000\n1402778453\t13.440000\n1402779053\t13.190000\n1402779654\t12.940000\n1402780254\t12.940000\n1402780855\t12.440000\n1402781456\t12.500000\n1402782056\t12.190000\n1402782656\t12.000000\n1402783257\t11.500000\n1402783858\t10.940000\n1402784458\t11.190000\n1402785059\t11.310000\n1402785659\t11.190000\n1402786260\t10.560000\n1402786860\t10.810000\n1402787461\t10.560000\n1402788061\t10.380000\n1402788662\t10.310000\n1402789262\t10.380000\n1402789863\t10.250000\n1402790463\t9.940000\n1402791079\t10.000000\n1402791680\t9.880000\n1402792280\t9.940000\n1402792881\t9.810000\n1402793481\t9.380000\n1402794082\t9.500000\n1402794682\t9.440000\n1402795283\t8.190000\n1402795883\t7.880000\n1402796484\t7.500000\n1402797084\t7.060000\n1402797685\t7.440000\n1402798285\t8.500000\n1402798886\t8.620000\n1402799487\t8.620000\n1402800087\t7.690000\n1402800688\t7.060000\n1402801288\t7.000000\n1402801889\t7.000000\n1402802489\t7.190000\n1402803090\t7.560000\n1402803690\t8.060000\n1402804291\t8.500000\n1402804891\t8.750000\n1402805492\t9.060000\n1402806092\t9.380000\n1402806693\t9.690000\n1402807294\t9.940000\n1402807894\t10.380000\n1402808495\t10.880000\n1402809095\t11.250000\n1402809696\t11.690000\n1402810311\t12.120000\n1402810912\t12.560000\n1402811512\t13.190000\n1402812113\t13.620000\n1402812713\t14.060000\n1402813314\t14.500000\n1402813915\t15.000000\n1402814515\t15.620000\n1402815116\t15.880000\n1402815716\t15.810000\n1402816317\t16.310000\n1402816917\t16.940000\n1402817518\t17.310000\n1402818118\t17.500000\n1402818719\t17.810000\n1402819319\t18.120000\n1402819920\t18.310000\n1402820520\t18.500000\n1402821121\t18.810000\n1402821722\t19.060000\n1402822322\t19.250000\n1402822923\t19.250000\n1402823523\t19.560000\n1402824124\t19.880000\n1402824724\t19.810000\n1402825325\t20.000000\n1402825925\t19.880000\n1402826526\t20.560000\n1402827126\t20.810000\n1402827727\t20.500000\n1402828342\t20.500000\n1402828943\t20.880000\n1402829543\t21.940000\n1402830144\t21.000000\n1402830745\t21.440000\n1402831345\t22.060000\n1402831946\t21.500000\n1402832546\t21.060000\n1402833147\t20.690000\n1402833747\t20.560000\n1402834348\t20.380000\n1402834948\t20.380000\n1402835549\t21.120000\n1402836149\t22.310000\n1402836750\t22.190000\n1402837350\t22.190000\n1402837951\t23.440000\n1402838551\t22.380000\n1402839152\t21.250000\n1402839752\t20.750000\n1402840353\t20.690000\n1402840953\t20.380000\n1402841554\t21.250000\n1402842154\t21.190000\n1402842755\t19.880000\n1402843356\t20.060000\n1402843956\t20.500000\n1402844557\t19.940000\n1402845157\t19.440000\n1402845758\t19.120000\n1402846373\t19.500000\n1402846974\t19.440000\n1402847574\t19.120000\n1402848175\t19.120000\n1402848775\t19.440000\n1402849376\t19.940000\n1402849976\t24.750000\n1402850577\t23.440000\n1402851177\t20.500000\n1402851778\t20.190000\n1402852378\t21.120000\n1402852979\t20.060000\n1402853579\t19.880000\n1402854180\t19.620000\n1402854781\t20.500000\n1402855381\t20.310000\n1402855982\t19.560000\n1402856582\t19.310000\n1402857183\t19.000000\n1402857783\t18.880000\n1402858384\t18.690000\n1402858984\t18.310000\n1402859585\t18.000000\n1402860185\t17.810000\n1402860786\t17.500000\n1402861386\t17.440000\n1402861987\t17.560000\n1402862587\t17.380000\n1402863188\t17.190000\n1402863788\t16.940000\n1402864404\t16.690000\n1402865004\t16.560000\n1402865605\t16.500000\n1402866205\t16.310000\n1402866806\t16.000000\n1402867406\t15.810000\n1402868007\t15.690000\n1402868608\t15.500000\n1402869208\t15.380000\n1402869809\t15.190000\n1402870409\t15.120000\n1402871010\t14.940000\n1402871610\t14.810000\n1402872211\t14.620000\n1402872811\t14.620000\n1402873412\t14.750000\n1402874012\t15.000000\n1402874613\t15.000000\n1402875213\t14.940000\n1402875814\t14.880000\n1402876415\t14.810000\n1402877015\t14.620000\n1402877616\t14.620000\n1402878216\t14.440000\n1402878817\t14.380000\n1402879417\t14.250000\n1402880018\t14.190000\n1402880618\t14.120000\n1402881219\t14.190000\n1402881834\t14.120000\n1402882435\t13.880000\n1402883036\t13.810000\n1402883636\t13.440000\n1402884237\t13.060000\n1402884837\t12.560000\n1402885438\t12.750000\n1402886038\t12.560000\n1402886639\t12.500000\n1402887239\t12.310000\n1402887840\t12.250000\n1402888440\t12.620000\n1402889041\t12.690000\n1402889641\t12.810000\n1402890242\t12.310000\n1402890843\t12.060000\n1402891443\t11.880000\n1402892044\t12.120000\n1402892644\t12.000000\n1402893245\t11.940000\n1402893845\t11.750000\n1402894446\t11.310000\n1402895046\t11.190000\n1402895647\t11.250000\n1402896247\t11.500000\n1402896848\t11.500000\n1402897448\t11.440000\n1402898049\t11.810000\n1402898649\t12.000000\n1402899250\t11.940000\n1402899866\t12.250000\n1402900466\t12.690000\n1402901067\t12.440000\n1402901667\t13.380000\n1402902268\t13.380000\n1402902868\t14.060000\n1402903469\t14.000000\n1402904069\t14.440000\n1402904670\t14.880000\n1402905270\t15.690000\n1402905871\t15.620000\n1402906471\t15.000000\n1402907072\t15.940000\n1402907672\t15.750000\n1402908273\t15.560000\n1402908873\t15.690000\n1402909474\t15.500000\n1402910075\t16.690000\n1402910675\t17.250000\n1402911276\t16.940000\n1402911876\t17.940000\n1402912477\t18.750000\n1402913077\t16.750000\n1402913678\t17.500000\n1402914278\t17.940000\n1402914879\t17.620000\n1402915479\t17.810000\n1402916080\t18.120000\n1402916681\t18.310000\n1402917281\t17.940000\n1402917882\t18.190000\n1402918497\t18.250000\n1402919098\t17.940000\n1402919698\t18.440000\n1402920299\t18.190000\n1402920899\t18.750000\n1402921500\t18.810000\n1402922100\t19.560000\n1402922701\t18.440000\n1402923301\t19.250000\n1402923902\t18.190000\n1402924503\t19.190000\n1402925103\t18.500000\n1402925704\t19.000000\n1402926304\t19.120000\n1402926905\t19.380000\n1402927505\t18.940000\n1402928106\t19.190000\n1402928706\t18.690000\n1402929307\t18.690000\n1402929907\t18.440000\n1402930508\t19.000000\n1402931108\t18.690000\n1402931709\t18.620000\n1402932309\t18.500000\n1402932910\t18.380000\n1402933511\t19.810000\n1402934111\t20.250000\n1402934712\t20.310000\n1402935312\t18.810000\n1402935913\t21.250000\n1402936528\t22.380000\n1402937129\t22.940000\n1402937729\t24.190000\n1402938330\t23.190000\n1402938930\t23.620000\n1402939531\t21.690000\n1402940131\t20.880000\n1402940732\t19.500000\n1402941332\t19.380000\n1402941933\t19.060000\n1402942534\t18.310000\n1402943134\t17.620000\n1402943735\t17.000000\n1402944335\t16.750000\n1402944936\t16.690000\n1402945536\t16.250000\n1402946137\t16.060000\n1402946737\t15.810000\n1402947338\t15.620000\n1402947938\t15.440000\n1402948539\t15.190000\n1402949139\t14.940000\n1402949740\t14.880000\n1402950341\t14.810000\n1402950941\t14.500000\n1402951542\t14.060000\n1402952142\t13.810000\n1402952743\t13.690000\n1402953343\t13.690000\n1402953944\t13.560000\n1402954544\t13.380000\n1402955160\t13.250000\n1402955760\t13.250000\n1402956361\t13.060000\n1402956962\t12.940000\n1402957562\t12.690000\n1402958163\t12.560000\n1402958763\t12.620000\n1402959364\t12.560000\n1402959964\t12.560000\n1402960565\t12.500000\n1402961165\t12.380000\n1402961766\t12.380000\n1402962366\t12.440000\n1402962967\t12.440000\n1402963567\t12.380000\n1402964168\t12.190000\n1402964768\t12.310000\n1402965369\t12.250000\n1402965969\t12.000000\n1402966570\t11.880000\n1402967171\t11.880000\n1402967771\t11.750000\n1402968372\t11.810000\n1402968972\t11.810000\n1402969573\t11.810000\n1402970173\t11.560000\n1402970774\t11.380000\n1402971374\t11.380000\n1402971975\t11.250000\n1402972575\t11.190000\n1402973176\t11.310000\n1402973791\t11.380000\n1402974392\t11.380000\n1402974993\t11.310000\n1402975593\t11.060000\n1402976194\t11.000000\n1402976794\t11.310000\n1402977395\t11.440000\n1402977995\t11.440000\n1402978596\t11.440000\n1402979196\t11.190000\n1402979797\t11.120000\n1402980397\t11.310000\n1402980998\t11.620000\n1402981598\t11.810000\n1402982199\t11.560000\n1402982800\t11.810000\n1402983400\t11.810000\n1402984001\t11.940000\n1402984601\t11.940000\n1402985202\t12.000000\n1402985802\t12.190000\n1402986403\t12.620000\n1402987003\t12.810000\n1402987604\t13.060000\n1402988204\t13.560000\n1402988805\t13.940000\n1402989405\t13.940000\n1402990006\t14.000000\n1402990607\t14.190000\n1402991207\t14.440000\n1402991823\t14.120000\n1402992423\t14.440000\n1402993024\t14.690000\n1402993624\t14.880000\n1402994225\t14.620000\n1402994825\t15.000000\n1402995426\t14.690000\n1402996026\t14.560000\n1402996627\t15.120000\n1402997228\t15.380000\n1402997828\t15.380000\n1402998429\t16.060000\n1402999029\t16.060000\n1402999630\t16.250000\n1403000230\t16.380000\n1403000831\t16.620000\n1403001431\t16.940000\n1403002032\t17.000000\n1403002632\t17.190000\n1403003233\t16.440000\n1403003833\t17.000000\n1403004434\t17.060000\n1403005034\t17.120000\n1403005635\t17.560000\n1403006236\t18.120000\n1403006836\t17.690000\n1403007437\t17.940000\n1403008037\t18.310000\n1403008638\t18.560000\n1403009238\t18.500000\n1403009839\t18.500000\n1403010439\t18.120000\n1403011055\t18.120000\n1403011655\t18.250000\n1403012256\t18.190000\n1403012857\t17.690000\n1403013457\t17.690000\n1403014058\t17.500000\n1403014658\t17.750000\n1403015259\t17.560000\n1403015859\t17.690000\n1403016460\t17.750000\n1403017060\t17.880000\n1403017661\t17.880000\n1403018261\t17.940000\n1403018862\t17.560000\n1403019462\t17.620000\n1403020063\t17.250000\n1403020664\t16.880000\n1403021264\t16.560000\n1403021865\t16.440000\n1403022465\t18.190000\n1403023066\t18.940000\n1403023666\t19.310000\n1403024267\t17.000000\n1403024867\t16.690000\n1403025468\t16.440000\n1403026068\t16.190000\n1403026669\t16.000000\n1403027269\t15.810000\n1403027870\t15.750000\n1403028470\t15.560000\n1403029071\t15.500000\n1403029687\t15.440000\n1403030287\t15.310000\n1403030888\t15.310000\n1403031488\t15.310000\n1403032089\t15.060000\n1403032689\t14.810000\n1403033290\t14.560000\n1403033890\t14.500000\n1403034491\t14.380000\n1403035091\t14.250000\n1403035692\t14.060000\n1403036292\t13.880000\n1403036893\t13.880000\n1403037493\t13.750000\n1403038094\t13.560000\n1403038695\t13.310000\n1403039295\t13.120000\n1403039896\t13.190000\n1403040496\t13.120000\n1403041097\t13.000000\n1403041697\t13.000000\n1403042298\t13.060000\n1403042898\t13.060000\n1403043499\t13.060000\n1403044099\t13.060000\n1403044700\t13.060000\n1403045300\t13.000000\n1403045901\t12.690000\n1403046502\t12.560000\n1403047102\t12.380000\n1403047718\t12.380000\n1403048318\t12.310000\n1403048919\t11.940000\n1403049519\t12.060000\n1403050120\t11.500000\n1403050720\t11.380000\n1403051321\t12.120000\n1403051921\t12.880000\n1403052522\t12.440000\n1403053122\t12.380000\n1403053723\t12.310000\n1403054323\t11.940000\n1403054924\t10.940000\n1403055524\t10.560000\n1403056125\t10.380000\n1403056725\t9.940000\n1403057326\t9.750000\n1403057927\t9.880000\n1403058527\t10.120000\n1403059128\t9.940000\n1403059728\t10.000000\n1403060329\t10.620000\n1403060929\t11.440000\n1403061530\t11.750000\n1403062130\t11.810000\n1403062731\t12.000000\n1403063331\t12.000000\n1403063932\t12.190000\n1403064532\t12.380000\n1403065148\t12.750000\n1403065748\t13.310000\n1403066349\t13.940000\n1403066950\t14.190000\n1403067550\t14.380000\n1403068151\t14.620000\n1403068751\t14.810000\n1403069352\t15.060000\n1403069952\t15.250000\n1403070553\t15.500000\n1403071153\t15.880000\n1403071754\t16.000000\n1403072354\t16.190000\n1403072955\t16.690000\n1403073555\t17.000000\n1403074156\t16.940000\n1403074756\t16.690000\n1403075357\t17.560000\n1403075957\t18.250000\n1403076558\t17.000000\n1403077159\t18.060000\n1403077759\t17.940000\n1403078360\t18.380000\n1403078960\t17.810000\n1403079561\t17.690000\n1403080161\t17.880000\n1403080762\t18.000000\n1403081362\t19.250000\n1403081963\t18.560000\n1403082563\t19.120000\n1403083164\t19.810000\n1403083764\t18.750000\n1403084365\t19.190000\n1403084965\t19.940000\n1403085581\t20.440000\n1403086182\t19.250000\n1403086782\t19.690000\n1403087383\t19.810000\n1403087983\t21.000000\n1403088584\t20.690000\n1403089184\t20.310000\n1403089785\t20.250000\n1403090385\t21.000000\n1403090986\t21.060000\n1403091586\t20.380000\n1403092187\t22.060000\n1403092787\t21.940000\n1403093388\t21.560000\n1403093988\t21.380000\n1403094589\t21.880000\n1403095189\t21.690000\n1403095790\t21.310000\n1403096391\t22.250000\n1403096991\t22.310000\n1403097592\t22.750000\n1403098192\t23.060000\n1403098793\t22.380000\n1403099393\t21.560000\n1403099994\t22.060000\n1403100594\t22.690000\n1403101195\t22.690000\n1403101795\t22.560000\n1403102396\t22.560000\n1403102996\t22.620000\n1403103597\t22.250000\n1403104198\t22.060000\n1403104798\t22.880000\n1403105398\t23.190000\n1403106014\t23.060000\n1403106615\t22.560000\n1403107215\t23.380000\n1403107816\t24.380000\n1403108416\t24.750000\n1403109017\t26.940000\n1403109617\t27.690000\n1403110218\t27.250000\n1403110818\t25.690000\n1403111419\t24.750000\n1403112019\t23.560000\n1403112620\t23.000000\n1403113220\t22.250000\n1403113821\t21.940000\n1403114421\t21.500000\n1403115022\t21.310000\n1403115622\t20.940000\n1403116223\t20.690000\n1403116824\t20.440000\n1403117424\t19.560000\n1403118025\t19.190000\n1403118625\t19.060000\n1403119226\t19.000000\n1403119826\t18.880000\n1403120427\t18.380000\n1403121027\t18.060000\n1403121628\t18.000000\n1403122228\t17.690000\n1403122844\t17.560000\n1403123444\t17.250000\n1403124045\t17.000000\n1403124646\t16.690000\n1403125246\t16.560000\n1403125847\t16.440000\n1403126447\t16.500000\n1403127048\t16.250000\n1403127648\t16.000000\n1403128249\t15.940000\n1403128849\t15.620000\n1403129450\t15.620000\n1403130050\t15.560000\n1403130651\t15.120000\n1403131251\t15.000000\n1403131852\t14.880000\n1403132453\t14.500000\n1403133053\t14.500000\n1403133654\t14.560000\n1403134254\t14.500000\n1403134855\t13.940000\n1403135455\t13.880000\n1403136056\t14.000000\n1403136656\t13.880000\n1403137257\t13.560000\n1403137857\t13.440000\n1403138458\t12.880000\n1403139059\t13.060000\n1403139659\t13.060000\n1403140260\t13.000000\n1403140860\t13.250000\n1403141476\t12.750000\n1403142076\t13.000000\n1403142677\t13.000000\n1403143277\t13.120000\n1403143878\t13.250000\n1403144478\t13.310000\n1403145079\t13.190000\n1403145679\t12.880000\n1403146280\t13.190000\n1403146880\t12.810000\n1403147481\t13.120000\n1403148081\t13.120000\n1403148682\t13.250000\n1403149283\t13.440000\n1403149883\t13.250000\n1403150484\t12.880000\n1403151084\t13.250000\n1403151685\t13.060000\n1403152285\t13.440000\n1403152886\t13.560000\n1403153486\t13.620000\n1403154087\t13.690000\n1403154687\t13.690000\n1403155288\t13.810000\n1403155888\t13.750000\n1403156489\t13.690000\n1403157089\t13.500000\n1403157690\t13.250000\n1403158291\t13.250000\n1403158906\t12.810000\n1403159507\t12.750000\n1403160107\t12.690000\n1403160708\t13.060000\n1403161308\t13.560000\n1403161909\t13.750000\n1403162509\t14.060000\n1403163110\t14.000000\n1403163710\t13.880000\n1403164311\t13.810000\n1403164911\t13.440000\n1403165512\t13.310000\n1403166113\t13.190000\n1403166713\t13.120000\n1403167314\t12.940000\n1403167914\t12.810000\n1403168515\t12.880000\n1403169115\t12.560000\n1403169716\t12.310000\n1403170316\t12.560000\n1403170917\t12.880000\n1403171517\t13.060000\n1403172118\t13.690000\n1403172718\t13.940000\n1403173319\t13.750000\n1403173920\t14.000000\n1403174520\t14.190000\n1403175121\t13.880000\n1403175736\t14.000000\n1403176337\t14.190000\n1403176937\t14.060000\n1403177538\t13.750000\n1403178138\t13.620000\n1403178739\t13.500000\n1403179339\t13.690000\n1403179940\t13.690000\n1403180541\t13.750000\n1403181141\t14.250000\n1403181742\t15.380000\n1403182342\t15.750000\n1403182943\t16.500000\n1403183543\t15.940000\n1403184144\t16.190000\n1403184744\t15.810000\n1403185345\t15.440000\n1403185945\t15.380000\n1403186546\t15.440000\n1403187146\t15.440000\n1403187747\t16.060000\n1403188348\t16.120000\n1403188948\t16.000000\n1403189548\t16.120000\n1403190149\t16.250000\n1403190750\t16.560000\n1403191350\t16.500000\n1403191951\t16.750000\n1403192551\t16.940000\n1403193152\t16.810000\n1403193752\t17.690000\n1403194368\t18.620000\n1403194968\t22.560000\n1403195569\t25.750000\n1403196169\t23.810000\n1403196770\t21.500000\n1403197370\t18.190000\n1403197971\t16.310000\n1403198571\t16.310000\n1403199172\t16.000000\n1403199772\t15.690000\n1403200373\t14.440000\n1403200974\t13.940000\n1403201574\t14.810000\n1403202175\t14.810000\n1403202775\t14.380000\n1403203376\t13.810000\n1403203976\t13.440000\n1403204577\t13.380000\n1403205177\t13.060000\n1403205778\t12.810000\n1403206378\t12.750000\n1403206979\t12.940000\n1403207579\t12.690000\n1403208180\t12.810000\n1403208781\t12.940000\n1403209381\t12.940000\n1403209982\t12.620000\n1403210582\t12.690000\n1403211183\t12.750000\n1403211783\t12.690000\n1403212399\t12.440000\n1403212999\t12.120000\n1403213600\t12.000000\n1403214200\t11.880000\n1403214801\t11.810000\n1403215401\t11.690000\n1403216002\t11.690000\n1403216602\t11.690000\n1403217203\t11.620000\n1403217803\t11.620000\n1403218404\t11.560000\n1403219004\t11.560000\n1403219605\t11.500000\n1403220205\t11.500000\n1403220806\t11.190000\n1403221407\t11.000000\n1403222007\t10.690000\n1403222608\t10.500000\n1403223208\t10.380000\n1403223809\t10.190000\n1403224409\t10.060000\n1403225010\t9.940000\n1403225610\t9.880000\n1403226211\t9.750000\n1403226811\t9.690000\n1403227412\t9.620000\n1403228012\t9.500000\n1403228613\t9.380000\n1403229214\t9.120000\n1403229829\t8.810000\n1403230430\t8.810000\n1403231030\t8.690000\n1403231631\t8.620000\n1403232231\t8.620000\n1403232832\t8.500000\n1403233432\t8.310000\n1403234033\t8.190000\n1403234633\t8.190000\n1403235234\t8.440000\n1403235835\t8.690000\n1403236435\t8.690000\n1403237036\t8.620000\n1403237636\t9.000000\n1403238237\t9.190000\n1403238837\t9.060000\n1403239438\t9.060000\n1403240038\t8.940000\n1403240639\t9.190000\n1403241239\t9.250000\n1403241840\t9.310000\n1403242440\t9.560000\n1403243041\t9.750000\n1403243642\t9.750000\n1403244242\t10.000000\n1403244843\t10.190000\n1403245443\t10.500000\n1403246044\t11.060000\n1403246644\t11.250000\n1403247245\t11.440000\n1403247845\t11.500000\n1403248461\t12.060000\n1403249062\t12.000000\n1403249662\t12.120000\n1403250263\t12.190000\n1403250863\t11.940000\n1403251464\t12.940000\n1403252064\t13.310000\n1403252665\t12.690000\n1403253265\t13.060000\n1403253866\t13.500000\n1403254466\t13.560000\n1403255067\t13.440000\n1403255667\t14.060000\n1403256268\t13.690000\n1403256869\t14.560000\n1403257469\t13.940000\n1403258070\t14.120000\n1403258670\t15.000000\n1403259271\t15.190000\n1403259871\t13.810000\n1403260472\t13.440000\n1403261072\t13.380000\n1403261673\t13.880000\n1403262273\t13.560000\n1403262874\t14.060000\n1403263474\t15.310000\n1403264075\t14.500000\n1403264675\t14.690000\n1403265276\t14.380000\n1403265877\t14.120000\n1403266477\t14.250000\n1403267093\t14.810000\n1403267693\t15.190000\n1403268294\t14.250000\n1403268894\t14.190000\n1403269495\t14.560000\n1403270095\t14.750000\n1403270696\t14.120000\n1403271296\t14.380000\n1403271897\t14.620000\n1403272498\t14.810000\n1403273098\t14.690000\n1403273699\t14.380000\n1403274299\t14.560000\n1403274900\t14.440000\n1403275500\t14.440000\n1403276101\t14.190000\n1403276701\t13.750000\n1403277302\t14.250000\n1403277902\t14.620000\n1403278503\t14.690000\n1403279103\t13.810000\n1403279704\t13.810000\n1403280304\t14.250000\n1403280905\t14.060000\n1403281506\t13.880000\n1403282106\t14.120000\n1403282707\t14.310000\n1403283307\t14.310000\n1403283908\t13.940000\n1403284508\t13.690000\n1403285124\t13.560000\n1403285724\t13.690000\n1403286325\t13.500000\n1403286925\t13.560000\n1403287526\t14.380000\n1403288126\t14.310000\n1403288727\t13.880000\n1403289327\t13.880000\n1403289928\t13.500000\n1403290528\t13.500000\n1403291129\t13.120000\n1403291729\t12.690000\n1403292330\t12.560000\n1403292930\t12.380000\n1403293531\t12.060000\n1403294131\t11.940000\n1403294732\t11.750000\n1403295333\t11.620000\n1403295933\t11.500000\n1403296534\t11.190000\n1403297134\t10.880000\n1403297735\t10.810000\n1403298335\t10.750000\n1403298936\t10.000000\n1403299536\t9.940000\n1403300137\t9.750000\n1403300737\t10.060000\n1403301338\t10.310000\n1403301938\t9.880000\n1403302539\t9.560000\n1403303155\t9.560000\n1403303755\t9.810000\n1403304356\t9.380000\n1403304956\t9.190000\n1403305557\t9.500000\n1403306157\t9.310000\n1403306758\t9.750000\n1403307358\t9.750000\n1403307959\t9.250000\n1403308559\t9.000000\n1403309160\t8.880000\n1403309760\t9.120000\n1403310361\t9.310000\n1403310962\t9.560000\n1403311562\t9.060000\n1403312163\t8.690000\n1403312763\t8.810000\n1403313364\t8.620000\n1403313964\t8.500000\n1403314565\t8.940000\n1403315165\t9.060000\n1403315766\t8.940000\n1403316366\t9.190000\n1403316967\t9.310000\n1403317567\t9.560000\n1403318168\t9.560000\n1403318768\t9.620000\n1403319369\t9.810000\n1403319970\t9.880000\n1403320570\t9.880000\n1403321186\t9.810000\n1403321786\t9.880000\n1403322387\t9.810000\n1403322987\t9.880000\n1403323588\t9.940000\n1403324188\t10.190000\n1403324789\t10.440000\n1403325389\t10.250000\n1403325990\t10.380000\n1403326590\t10.440000\n1403327191\t10.620000\n1403327791\t10.810000\n1403328392\t10.620000\n1403328992\t10.380000\n1403329593\t10.690000\n1403330193\t10.810000\n1403330794\t11.310000\n1403331395\t11.620000\n1403331995\t11.690000\n1403332596\t11.310000\n1403333196\t12.000000\n1403333797\t12.250000\n1403334397\t12.310000\n1403334998\t12.940000\n1403335598\t12.810000\n1403336214\t13.190000\n1403336814\t13.310000\n1403337415\t13.250000\n1403338015\t13.440000\n1403338616\t12.310000\n1403339216\t13.620000\n1403339817\t14.000000\n1403340417\t13.940000\n1403341018\t12.940000\n1403341619\t13.120000\n1403342219\t12.620000\n1403342820\t13.310000\n1403343420\t13.310000\n1403344021\t14.120000\n1403344621\t14.120000\n1403345222\t14.380000\n1403345822\t13.440000\n1403346423\t13.940000\n1403347023\t14.940000\n1403347624\t15.380000\n1403348224\t13.750000\n1403348825\t14.000000\n1403349426\t14.060000\n1403350026\t15.310000\n1403350627\t15.440000\n1403351227\t14.750000\n1403351828\t15.250000\n1403352428\t14.750000\n1403353029\t15.690000\n1403353629\t15.060000\n1403354230\t14.250000\n1403354845\t14.750000\n1403355446\t14.310000\n1403356046\t14.690000\n1403356647\t14.620000\n1403357247\t14.560000\n1403357848\t14.750000\n1403358449\t14.310000\n1403359049\t14.380000\n1403359650\t14.560000\n1403360250\t14.500000\n1403360851\t14.750000\n1403361451\t14.500000\n1403362052\t13.940000\n1403362652\t14.060000\n1403363253\t14.250000\n1403363853\t14.250000\n1403364454\t14.880000\n1403365054\t16.120000\n1403365655\t14.380000\n1403366256\t14.060000\n1403366856\t14.250000\n1403367457\t14.750000\n1403368057\t14.750000\n1403368658\t14.250000\n1403369258\t14.120000\n1403369859\t14.060000\n1403370459\t13.880000\n1403371060\t13.620000\n1403371660\t13.500000\n1403372261\t13.440000\n1403372862\t13.250000\n1403373477\t13.250000\n1403374078\t13.060000\n1403374678\t13.000000\n1403375279\t12.940000\n1403375879\t13.250000\n1403376480\t13.440000\n1403377080\t13.190000\n1403377681\t12.880000\n1403378281\t12.500000\n1403378882\t12.060000\n1403379482\t11.880000\n1403380083\t11.690000\n1403380683\t11.560000\n1403381284\t11.250000\n1403381884\t10.750000\n1403382485\t10.440000\n1403383086\t9.940000\n1403383686\t9.690000\n1403384287\t9.620000\n1403384887\t9.380000\n1403385488\t9.190000\n1403386088\t9.000000\n1403386689\t9.000000\n1403387289\t8.880000\n1403387890\t8.500000\n1403388490\t8.060000\n1403389106\t7.940000\n1403389706\t7.940000\n1403390307\t7.940000\n1403390907\t8.000000\n1403391508\t7.940000\n1403392109\t7.620000\n1403392709\t7.380000\n1403393310\t7.310000\n1403393910\t6.880000\n1403394511\t6.810000\n1403395111\t6.690000\n1403395712\t6.690000\n1403396312\t6.750000\n1403396913\t7.120000\n1403397513\t7.120000\n1403398114\t7.060000\n1403398715\t7.190000\n1403399315\t7.310000\n1403399916\t7.440000\n1403400516\t7.500000\n1403401117\t7.500000\n1403401717\t7.500000\n1403402318\t7.380000\n1403402918\t7.380000\n1403403519\t7.440000\n1403404119\t7.690000\n1403404720\t7.380000\n1403405320\t7.120000\n1403405921\t7.120000\n1403406521\t7.310000\n1403407137\t7.250000\n1403407737\t7.310000\n1403408338\t7.440000\n1403408939\t7.380000\n1403409539\t7.440000\n1403410140\t7.440000\n1403410740\t7.690000\n1403411341\t8.060000\n1403411941\t8.560000\n1403412542\t9.380000\n1403413142\t9.880000\n1403413743\t10.250000\n1403414343\t10.750000\n1403414944\t10.690000\n1403415544\t10.880000\n1403416145\t10.190000\n1403416745\t10.250000\n1403417346\t10.940000\n1403417946\t11.810000\n1403418547\t10.500000\n1403419147\t10.880000\n1403419748\t11.440000\n1403420349\t11.000000\n1403420949\t11.440000\n1403421550\t11.380000\n1403422150\t10.380000\n1403422751\t10.060000\n1403423351\t10.810000\n1403423952\t11.560000\n1403424552\t12.120000\n1403425153\t13.120000\n1403425768\t12.690000\n1403426369\t12.190000\n1403426969\t12.380000\n1403427570\t11.880000\n1403428170\t12.810000\n1403428771\t13.380000\n1403429372\t14.310000\n1403429972\t11.440000\n1403430573\t11.190000\n1403431173\t12.560000\n1403431774\t13.250000\n1403432374\t11.560000\n1403432975\t12.000000\n1403433575\t13.060000\n1403434176\t13.690000\n1403434776\t13.440000\n1403435377\t13.940000\n1403435977\t14.750000\n1403436578\t14.250000\n1403437179\t13.620000\n1403437779\t12.810000\n1403438380\t12.560000\n1403438980\t12.750000\n1403439581\t14.060000\n1403440181\t14.060000\n1403440782\t14.380000\n1403441382\t15.440000\n1403441983\t14.000000\n1403442598\t13.310000\n1403443199\t14.560000\n1403443799\t13.380000\n1403444400\t13.940000\n1403445000\t15.000000\n1403445601\t15.310000\n1403446202\t13.940000\n1403446802\t12.750000\n1403447402\t14.190000\n1403448003\t14.000000\n1403448604\t11.750000\n1403449204\t12.500000\n1403449805\t12.750000\n1403450405\t12.690000\n1403451006\t12.250000\n1403451606\t11.500000\n1403452207\t12.060000\n1403452807\t12.190000\n1403453408\t11.880000\n1403454009\t14.380000\n1403454609\t19.880000\n1403455210\t21.810000\n1403455810\t19.750000\n1403456411\t18.500000\n1403457011\t18.250000\n1403457612\t17.380000\n1403458212\t15.880000\n1403458813\t15.560000\n1403459413\t14.690000\n1403460014\t14.440000\n1403460614\t13.690000\n1403461230\t13.440000\n1403461830\t13.120000\n1403462431\t12.880000\n1403463032\t11.880000\n1403463632\t11.440000\n1403464233\t11.120000\n1403464833\t11.000000\n1403465434\t10.940000\n1403466034\t10.880000\n1403466635\t10.190000\n1403467235\t9.940000\n1403467836\t9.940000\n1403468436\t10.060000\n1403469037\t10.190000\n1403469637\t9.620000\n1403470238\t9.810000\n1403470839\t9.940000\n1403471439\t9.940000\n1403472040\t9.440000\n1403472640\t9.190000\n1403473241\t9.120000\n1403473841\t8.810000\n1403474442\t8.190000\n1403475042\t8.560000\n1403475643\t8.060000\n1403476243\t7.940000\n1403476844\t8.120000\n1403477444\t7.880000\n1403478045\t7.940000\n1403478646\t8.000000\n1403479246\t7.190000\n1403479847\t7.190000\n1403480447\t7.120000\n1403481063\t6.690000\n1403481663\t6.940000\n1403482264\t7.000000\n1403482864\t6.190000\n1403483465\t6.750000\n1403484065\t7.120000\n1403484666\t6.810000\n1403485266\t6.500000\n1403485867\t6.880000\n1403486468\t6.690000\n1403487068\t6.380000\n1403487669\t7.120000\n1403488269\t7.380000\n1403488870\t7.620000\n1403489470\t7.880000\n1403490071\t7.940000\n1403490671\t7.500000\n1403491272\t7.440000\n1403491872\t7.500000\n1403492473\t7.750000\n1403493073\t7.880000\n1403493674\t8.000000\n1403494275\t8.120000\n1403494875\t8.120000\n1403495476\t7.940000\n1403496076\t8.250000\n1403496677\t8.500000\n1403497277\t8.750000\n1403497878\t8.880000\n1403498478\t9.000000\n1403499079\t9.120000\n1403499679\t9.380000\n1403500280\t9.560000\n1403500880\t9.690000\n1403501481\t9.810000\n1403502082\t10.250000\n1403502697\t10.560000\n1403503298\t10.560000\n1403503898\t10.810000\n1403504499\t11.060000\n1403505099\t11.500000\n1403505700\t12.120000\n1403506300\t12.380000\n1403506901\t12.940000\n1403507501\t13.250000\n1403508102\t13.380000\n1403508702\t13.250000\n1403509303\t13.940000\n1403509904\t14.560000\n1403510504\t14.120000\n1403511105\t14.690000\n1403511705\t14.380000\n1403512306\t14.190000\n1403512906\t13.500000\n1403513507\t13.880000\n1403514107\t15.500000\n1403514708\t15.000000\n1403515308\t14.190000\n1403515909\t14.250000\n1403516509\t15.250000\n1403517110\t15.560000\n1403517711\t15.310000\n1403518311\t15.750000\n1403518912\t16.000000\n1403519512\t15.750000\n1403520113\t16.440000\n1403520728\t16.560000\n1403521329\t16.500000\n1403521929\t16.190000\n1403522530\t14.380000\n1403523130\t14.440000\n1403523731\t16.120000\n1403524331\t16.250000\n1403524932\t15.560000\n1403525533\t15.060000\n1403526133\t16.440000\n1403526734\t16.750000\n1403527334\t16.000000\n1403527935\t16.560000\n1403528535\t16.750000\n1403529136\t17.250000\n1403529736\t17.120000\n1403530337\t16.880000\n1403530937\t17.380000\n1403531538\t17.440000\n1403532139\t17.620000\n1403532739\t15.250000\n1403533340\t13.380000\n1403533940\t12.940000\n1403534541\t12.940000\n1403535141\t13.310000\n1403535742\t14.000000\n1403536342\t13.750000\n1403536943\t13.310000\n1403537543\t12.380000\n1403538144\t12.810000\n1403538759\t14.000000\n1403539360\t14.310000\n1403539960\t15.000000\n1403540561\t17.500000\n1403541161\t15.310000\n1403541762\t14.690000\n1403542363\t14.380000\n1403542963\t13.440000\n1403543564\t12.560000\n1403544164\t12.500000\n1403544765\t12.440000\n1403545365\t12.500000\n1403545966\t12.690000\n1403546566\t12.880000\n1403547167\t12.440000\n1403547767\t12.250000\n1403548368\t12.120000\n1403548969\t12.060000\n1403549569\t11.750000\n1403550170\t11.690000\n1403550770\t11.620000\n1403551371\t11.500000\n1403551971\t11.440000\n1403552572\t11.440000\n1403553172\t11.120000\n1403553773\t11.000000\n1403554373\t10.810000\n1403554974\t10.750000\n1403555589\t10.310000\n1403556190\t10.250000\n1403556790\t10.120000\n1403557391\t9.940000\n1403557991\t9.880000\n1403558592\t9.810000\n1403559192\t9.810000\n1403559793\t9.940000\n1403560394\t10.000000\n1403560994\t10.120000\n1403561595\t10.250000\n1403562195\t10.380000\n1403562796\t10.440000\n1403563396\t10.440000\n1403563997\t10.440000\n1403564597\t10.500000\n1403565198\t10.560000\n1403565798\t10.620000\n1403566399\t10.620000\n1403566999\t10.620000\n1403567600\t10.690000\n1403568200\t10.690000\n1403568801\t10.620000\n1403569401\t10.620000\n1403570002\t10.440000\n1403570602\t10.380000\n1403571203\t10.190000\n1403571804\t10.060000\n1403572404\t10.190000\n1403573020\t10.250000\n1403573620\t10.120000\n1403574221\t10.120000\n1403574821\t9.940000\n1403575422\t9.620000\n1403576022\t9.380000\n1403576623\t9.560000\n1403577223\t9.500000\n1403577824\t9.440000\n1403578424\t9.380000\n1403579025\t9.380000\n1403579626\t9.440000\n1403580226\t9.380000\n1403580826\t9.190000\n1403581427\t9.310000\n1403582028\t9.620000\n1403582628\t9.750000\n1403583229\t9.940000\n1403583829\t10.250000\n1403584430\t10.440000\n1403585030\t10.500000\n1403585631\t10.690000\n1403586231\t10.940000\n1403586832\t11.120000\n1403587432\t11.380000\n1403588033\t11.620000\n1403588633\t11.810000\n1403589234\t11.810000\n1403589835\t12.000000\n1403590435\t12.310000\n1403591051\t12.620000\n1403591651\t13.060000\n1403592252\t13.500000\n1403592852\t14.060000\n1403593453\t14.690000\n1403594053\t14.880000\n1403594654\t15.250000\n1403595254\t15.750000\n1403595855\t15.810000\n1403596455\t15.940000\n1403597056\t16.060000\n1403597656\t16.060000\n1403598257\t15.940000\n1403598857\t16.250000\n1403599458\t17.190000\n1403600058\t17.310000\n1403600659\t17.060000\n1403601259\t17.940000\n1403601860\t18.120000\n1403602461\t18.440000\n1403603061\t18.120000\n1403603662\t18.880000\n1403604262\t19.060000\n1403604863\t19.060000\n1403605463\t19.250000\n1403606064\t19.500000\n1403606664\t19.560000\n1403607265\t19.620000\n1403607865\t19.060000\n1403608466\t18.000000\n1403609066\t17.940000\n1403609682\t19.060000\n1403610282\t19.500000\n1403610883\t18.500000\n1403611483\t18.500000\n1403612084\t19.810000\n1403612685\t19.750000\n1403613285\t20.500000\n1403613886\t19.880000\n1403614486\t19.500000\n1403615087\t19.310000\n1403615687\t19.250000\n1403616288\t19.620000\n1403616888\t19.690000\n1403617489\t20.190000\n1403618089\t19.750000\n1403618690\t19.690000\n1403619290\t20.120000\n1403619891\t20.440000\n1403620492\t20.000000\n1403621092\t19.620000\n1403621693\t19.190000\n1403622293\t19.250000\n1403622894\t19.880000\n1403623494\t20.060000\n1403624095\t20.060000\n1403624695\t20.250000\n1403625296\t19.120000\n1403625896\t18.880000\n1403626497\t20.440000\n1403627112\t25.060000\n1403627713\t27.440000\n1403628313\t25.620000\n1403628914\t25.560000\n1403629514\t25.500000\n1403630115\t24.440000\n1403630715\t22.940000\n1403631316\t21.060000\n1403631916\t20.250000\n1403632517\t19.310000\n1403633118\t19.250000\n1403633718\t18.560000\n1403634319\t18.060000\n1403634919\t17.750000\n1403635520\t17.620000\n1403636120\t17.440000\n1403636721\t17.000000\n1403637321\t16.690000\n1403637922\t16.560000\n1403638522\t16.380000\n1403639123\t16.120000\n1403639723\t15.940000\n1403640324\t15.690000\n1403640924\t15.440000\n1403641525\t15.060000\n1403642125\t15.060000\n1403642726\t14.750000\n1403643326\t14.440000\n1403643927\t14.190000\n1403644528\t13.940000\n1403645143\t13.690000\n1403645744\t13.620000\n1403646344\t13.380000\n1403646945\t13.060000\n1403647545\t12.880000\n1403648146\t12.810000\n1403648746\t12.810000\n1403649347\t12.690000\n1403649947\t12.620000\n1403650548\t12.500000\n1403651148\t12.310000\n1403651749\t12.000000\n1403652350\t11.880000\n1403652950\t11.620000\n1403653551\t11.440000\n1403654151\t11.500000\n1403654752\t11.440000\n1403655352\t11.250000\n1403655953\t11.120000\n1403656553\t11.120000\n1403657154\t10.940000\n1403657754\t11.000000\n1403658355\t10.880000\n1403658955\t10.500000\n1403659556\t10.440000\n1403660156\t10.310000\n1403660757\t10.310000\n1403661357\t10.310000\n1403661958\t10.000000\n1403662559\t9.940000\n1403663174\t9.810000\n1403663775\t9.880000\n1403664375\t10.060000\n1403664976\t10.120000\n1403665576\t10.250000\n1403666177\t10.310000\n1403666777\t10.190000\n1403667378\t10.190000\n1403667978\t10.380000\n1403668579\t10.940000\n1403669179\t10.880000\n1403669780\t11.000000\n1403670381\t11.380000\n1403670981\t11.440000\n1403671582\t11.500000\n1403672182\t11.750000\n1403672783\t12.250000\n1403673383\t12.620000\n1403673984\t12.880000\n1403674584\t12.940000\n1403675185\t12.940000\n1403675785\t13.120000\n1403676386\t13.500000\n1403676986\t13.560000\n1403677602\t13.560000\n1403678202\t14.060000\n1403678803\t14.440000\n1403679404\t14.560000\n1403680004\t15.060000\n1403680605\t15.310000\n1403681205\t15.880000\n1403681806\t16.000000\n1403682406\t16.310000\n1403683007\t16.250000\n1403683607\t16.440000\n1403684208\t16.690000\n1403684808\t16.620000\n1403685409\t16.880000\n1403686009\t17.000000\n1403686610\t17.120000\n1403687210\t17.190000\n1403687811\t17.440000\n1403688411\t17.380000\n1403689012\t17.690000\n1403689613\t17.810000\n1403690213\t18.250000\n1403690814\t18.380000\n1403691414\t18.440000\n1403692015\t17.940000\n1403692615\t18.190000\n1403693216\t18.440000\n1403693816\t18.690000\n1403694417\t18.620000\n1403695017\t18.310000\n1403695618\t18.810000\n1403696234\t18.880000\n1403696834\t19.310000\n1403697435\t19.620000\n1403698035\t19.310000\n1403698636\t19.440000\n1403699236\t19.810000\n1403699837\t20.060000\n1403700437\t20.620000\n1403701038\t20.190000\n1403701638\t19.310000\n1403702239\t18.620000\n1403702839\t17.380000\n1403703440\t16.500000\n1403704040\t15.620000\n1403704641\t14.500000\n1403705241\t14.440000\n1403705842\t14.560000\n1403706443\t15.060000\n1403707043\t15.190000\n1403707644\t15.810000\n1403708244\t16.190000\n1403708845\t15.620000\n1403709445\t15.560000\n1403710046\t15.380000\n1403710646\t15.250000\n1403711247\t15.440000\n1403711847\t15.690000\n1403712448\t15.560000\n1403713049\t15.380000\n1403713649\t15.060000\n1403714250\t15.120000\n1403714850\t17.500000\n1403715466\t16.750000\n1403716066\t16.560000\n1403716667\t16.060000\n1403717267\t15.500000\n1403717868\t15.190000\n1403718468\t14.940000\n1403719069\t14.500000\n1403719669\t14.120000\n1403720270\t13.750000\n1403720870\t13.690000\n1403721471\t13.750000\n1403722072\t14.000000\n1403722672\t14.000000\n1403723273\t13.940000\n1403723873\t13.810000\n1403724474\t13.810000\n1403725074\t13.620000\n1403725675\t13.440000\n1403726275\t13.250000\n1403726876\t13.380000\n1403727476\t13.310000\n1403728077\t13.120000\n1403728677\t13.250000\n1403729278\t13.250000\n1403729878\t13.120000\n1403730479\t12.620000\n1403731079\t12.310000\n1403731680\t12.380000\n1403732280\t12.380000\n1403732881\t12.310000\n1403733482\t12.190000\n1403734097\t11.880000\n1403734698\t11.880000\n1403735298\t11.940000\n1403735899\t11.940000\n1403736499\t11.500000\n1403737100\t11.620000\n1403737700\t11.750000\n1403738301\t11.620000\n1403738901\t11.620000\n1403739502\t11.620000\n1403740102\t11.620000\n1403740703\t11.500000\n1403741304\t11.380000\n1403741904\t11.500000\n1403742505\t11.500000\n1403743105\t11.500000\n1403743706\t11.310000\n1403744306\t11.310000\n1403744907\t11.250000\n1403745507\t11.190000\n1403746108\t11.310000\n1403746708\t11.380000\n1403747309\t11.190000\n1403747909\t11.190000\n1403748510\t11.120000\n1403749111\t11.060000\n1403749711\t11.060000\n1403750312\t11.060000\n1403750912\t10.940000\n1403751513\t11.120000\n1403752113\t11.250000\n1403752729\t11.190000\n1403753329\t11.190000\n1403753930\t11.120000\n1403754530\t11.120000\n1403755131\t11.120000\n1403755731\t11.120000\n1403756332\t11.190000\n1403756933\t11.380000\n1403757533\t11.500000\n1403758134\t11.620000\n1403758734\t11.500000\n1403759335\t11.620000\n1403759935\t11.690000\n1403760536\t11.810000\n1403761136\t12.000000\n1403761737\t12.190000\n1403762337\t12.380000\n1403762938\t12.560000\n1403763538\t12.810000\n1403764139\t13.000000\n1403764739\t13.690000\n1403765340\t14.000000\n1403765940\t14.060000\n1403766541\t14.000000\n1403767142\t14.440000\n1403767742\t14.880000\n1403768343\t15.190000\n1403768943\t15.060000\n1403769559\t15.250000\n1403770159\t15.810000\n1403770760\t15.750000\n1403771360\t16.060000\n1403771961\t16.380000\n1403772561\t16.690000\n1403773162\t16.500000\n1403773763\t16.940000\n1403774363\t17.000000\n1403774964\t17.250000\n1403775564\t17.120000\n1403776165\t17.250000\n1403776765\t17.440000\n1403777366\t17.560000\n1403777966\t17.690000\n1403778567\t17.880000\n1403779167\t17.750000\n1403779768\t17.690000\n1403780368\t18.060000\n1403780969\t18.190000\n1403781569\t18.380000\n1403782170\t18.620000\n1403782770\t18.500000\n1403783371\t18.560000\n1403783972\t18.690000\n1403784572\t18.620000\n1403785173\t18.690000\n1403785773\t18.880000\n1403786374\t18.940000\n1403786974\t18.880000\n1403787575\t19.190000\n1403788190\t19.380000\n1403788791\t19.560000\n1403789391\t19.620000\n1403789992\t19.560000\n1403790592\t19.620000\n1403791193\t19.750000\n1403791793\t19.690000\n1403792394\t19.250000\n1403792994\t19.190000\n1403793595\t19.560000\n1403794196\t19.440000\n1403794796\t19.880000\n1403795397\t20.000000\n1403795997\t20.060000\n1403796598\t19.940000\n1403797198\t19.250000\n1403797799\t19.250000\n1403798399\t19.120000\n1403799000\t19.690000\n1403799600\t19.810000\n1403800201\t18.940000\n1403800801\t18.310000\n1403801402\t17.940000\n1403802003\t17.620000\n1403802603\t17.500000\n1403803204\t17.380000\n1403803804\t17.190000\n1403804405\t17.000000\n1403805005\t16.940000\n1403805606\t16.940000\n1403806206\t16.880000\n1403806822\t16.690000\n1403807422\t16.560000\n1403808023\t16.310000\n1403808623\t16.250000\n1403809224\t16.060000\n1403809824\t15.940000\n1403810425\t15.810000\n1403811026\t15.690000\n1403811626\t15.440000\n1403812227\t15.310000\n1403812827\t15.190000\n1403813428\t15.120000\n1403814028\t14.810000\n1403814629\t14.690000\n1403815229\t14.380000\n1403815830\t14.380000\n1403816431\t14.310000\n1403817031\t14.190000\n1403817632\t14.120000\n1403818232\t14.000000\n1403818832\t13.940000\n1403819433\t13.810000\n1403820034\t13.810000\n1403820634\t13.750000\n1403821235\t13.690000\n1403821835\t13.620000\n1403822436\t13.440000\n1403823036\t13.250000\n1403823637\t13.190000\n1403824237\t13.190000\n1403824838\t13.120000\n1403825453\t13.120000\n1403826054\t13.120000\n1403826654\t12.940000\n1403827255\t13.060000\n1403827855\t12.940000\n1403828456\t12.940000\n1403829057\t12.690000\n1403829657\t12.380000\n1403830258\t12.310000\n1403830858\t12.500000\n1403831459\t12.620000\n1403832059\t12.500000\n1403832660\t12.440000\n1403833260\t12.380000\n1403833861\t12.120000\n1403834461\t12.120000\n1403835062\t12.120000\n1403835662\t12.120000\n1403836263\t12.190000\n1403836863\t12.120000\n1403837464\t12.120000\n1403838065\t12.380000\n1403838665\t12.500000\n1403839266\t12.620000\n1403839866\t12.690000\n1403840467\t12.690000\n1403841067\t12.690000\n1403841668\t12.750000\n1403842268\t12.810000\n1403842869\t12.880000\n1403843484\t12.940000\n1403844085\t13.000000\n1403844685\t13.120000\n1403845286\t13.440000\n1403845886\t13.620000\n1403846487\t13.750000\n1403847087\t14.120000\n1403847688\t14.380000\n1403848289\t14.560000\n1403848889\t14.310000\n1403849490\t14.060000\n1403850090\t14.440000\n1403850691\t14.500000\n1403851291\t14.690000\n1403851892\t15.380000\n1403852492\t15.620000\n1403853093\t16.380000\n1403853693\t17.250000\n1403854294\t16.380000\n1403854894\t16.380000\n1403855495\t17.000000\n1403856096\t16.120000\n1403856696\t15.560000\n1403857297\t14.690000\n1403857897\t14.560000\n1403858498\t14.500000\n1403859098\t14.690000\n1403859699\t14.690000\n1403860299\t14.560000\n1403860900\t14.380000\n1403861515\t14.250000\n1403862116\t14.310000\n1403862716\t14.310000\n1403863317\t13.750000\n1403863917\t12.940000\n1403864518\t12.810000\n1403865118\t13.120000\n1403865719\t13.380000\n1403866320\t13.500000\n1403866920\t13.810000\n1403867521\t14.120000\n1403868121\t14.440000\n1403868722\t14.620000\n1403869322\t15.060000\n1403869923\t15.620000\n1403870523\t16.120000\n1403871124\t16.750000\n1403871724\t16.750000\n1403872325\t17.120000\n1403872925\t16.620000\n1403873526\t16.440000\n1403874126\t16.310000\n1403874727\t16.440000\n1403875327\t16.690000\n1403875928\t16.880000\n1403876529\t17.190000\n1403877129\t16.690000\n1403877730\t17.000000\n1403878345\t16.880000\n1403878946\t16.620000\n1403879546\t16.310000\n1403880147\t16.190000\n1403880747\t16.120000\n1403881348\t16.380000\n1403881948\t16.380000\n1403882549\t16.120000\n1403883149\t16.000000\n1403883750\t16.000000\n1403884351\t15.880000\n1403884951\t15.500000\n1403885552\t15.250000\n1403886152\t15.120000\n1403886753\t14.940000\n1403887353\t14.810000\n1403887954\t14.620000\n1403888554\t14.620000\n1403889155\t14.380000\n1403889755\t14.500000\n1403890356\t14.500000\n1403890956\t14.560000\n1403891557\t15.000000\n1403892157\t15.310000\n1403892758\t14.810000\n1403893358\t14.620000\n1403893959\t14.500000\n1403894560\t14.310000\n1403895175\t14.440000\n1403895776\t14.620000\n1403896376\t14.620000\n1403896977\t14.560000\n1403897577\t14.310000\n1403898178\t14.060000\n1403898778\t13.940000\n1403899379\t13.560000\n1403899979\t13.380000\n1403900580\t13.060000\n1403901180\t13.120000\n1403901781\t13.000000\n1403902381\t13.120000\n1403902982\t13.060000\n1403903583\t12.940000\n1403904183\t12.750000\n1403904784\t12.690000\n1403905384\t12.560000\n1403905985\t12.500000\n1403906585\t12.500000\n1403907186\t12.500000\n1403907786\t12.380000\n1403908387\t12.310000\n1403908987\t12.380000\n1403909588\t12.440000\n1403910188\t12.560000\n1403910789\t12.560000\n1403911390\t12.620000\n1403911990\t12.560000\n1403912591\t12.500000\n1403913191\t12.500000\n1403913792\t12.380000\n1403914392\t12.440000\n1403914993\t12.500000\n1403915593\t12.440000\n1403916209\t12.440000\n1403916809\t12.380000\n1403917410\t12.250000\n1403918010\t12.190000\n1403918611\t12.250000\n1403919212\t12.120000\n1403919812\t12.060000\n1403920413\t12.060000\n1403921013\t12.060000\n1403921614\t12.060000\n1403922214\t12.000000\n1403922815\t11.940000\n1403923415\t12.120000\n1403924016\t12.120000\n1403924616\t11.940000\n1403925217\t12.060000\n1403925817\t12.060000\n1403926418\t12.000000\n1403927019\t12.120000\n1403927619\t12.310000\n1403928220\t12.440000\n1403928820\t12.440000\n1403929421\t12.560000\n1403930021\t12.750000\n1403930622\t12.750000\n1403931222\t12.880000\n1403931823\t13.060000\n1403932423\t13.310000\n1403933024\t13.250000\n1403933624\t13.380000\n1403934225\t13.560000\n1403934825\t13.560000\n1403935441\t13.500000\n1403936041\t13.440000\n1403936642\t13.440000\n1403937243\t13.500000\n1403937843\t13.560000\n1403938444\t13.620000\n1403939044\t13.620000\n1403939645\t13.620000\n1403940245\t13.690000\n1403940846\t13.620000\n1403941446\t13.750000\n1403942047\t14.120000\n1403942647\t14.750000\n1403943248\t15.000000\n1403943849\t15.120000\n1403944449\t15.120000\n1403945050\t15.120000\n1403945650\t14.810000\n1403946251\t14.560000\n1403946851\t14.500000\n1403947452\t14.690000\n1403948052\t14.810000\n1403948653\t14.940000\n1403949253\t15.190000\n1403949854\t15.250000\n1403950454\t15.190000\n1403951055\t15.120000\n1403951670\t15.000000\n1403952271\t14.880000\n1403952872\t14.560000\n1403953472\t14.310000\n1403954073\t14.060000\n1403954673\t13.810000\n1403955274\t13.690000\n1403955874\t13.620000\n1403956475\t13.690000\n1403957075\t13.940000\n1403957676\t13.940000\n1403958276\t13.810000\n1403958877\t13.690000\n1403959478\t13.500000\n1403960078\t13.440000\n1403960679\t13.310000\n1403961279\t13.310000\n1403961880\t13.310000\n1403962480\t13.440000\n1403963081\t13.500000\n1403963681\t13.440000\n1403964282\t13.500000\n1403964882\t13.310000\n1403965483\t13.120000\n1403966083\t13.120000\n1403966684\t13.060000\n1403967284\t13.000000\n1403967885\t12.940000\n1403968485\t12.810000\n1403969086\t12.750000\n1403969687\t12.690000\n1403970287\t12.560000\n1403970903\t12.620000\n1403971503\t12.500000\n1403972104\t12.380000\n1403972704\t12.120000\n1403973305\t12.000000\n1403973905\t11.880000\n1403974506\t11.690000\n1403975106\t11.620000\n1403975707\t11.620000\n1403976308\t11.560000\n1403976908\t11.380000\n1403977509\t11.380000\n1403978109\t11.250000\n1403978710\t11.120000\n1403979310\t11.120000\n1403979911\t11.060000\n1403980511\t11.000000\n1403981112\t11.000000\n1403981712\t11.000000\n1403982313\t11.190000\n1403982913\t11.190000\n1403983514\t11.250000\n1403984115\t11.250000\n1403984715\t11.380000\n1403985316\t11.500000\n1403985916\t11.500000\n1403986517\t11.560000\n1403987117\t11.620000\n1403987718\t11.690000\n1403988318\t11.750000\n1403988919\t11.750000\n1403989534\t11.810000\n1403990135\t11.880000\n1403990735\t11.880000\n1403991336\t11.880000\n1403991937\t11.880000\n1403992537\t11.940000\n1403993138\t11.940000\n1403993738\t12.000000\n1403994339\t12.060000\n1403994939\t12.060000\n1403995540\t12.060000\n1403996140\t12.060000\n1403996741\t12.120000\n1403997341\t12.120000\n1403997942\t12.120000\n1403998543\t12.120000\n1403999143\t12.120000\n1403999744\t12.120000\n1404000344\t12.120000\n1404000945\t12.190000\n1404001545\t12.190000\n1404002146\t12.250000\n1404002746\t12.190000\n1404003347\t12.250000\n1404003947\t12.250000\n1404004548\t12.310000\n1404005148\t12.250000\n1404005749\t12.310000\n1404006349\t12.310000\n1404006950\t12.380000\n1404007550\t12.380000\n1404008166\t12.380000\n1404008767\t12.440000\n1404009367\t12.440000\n1404009968\t12.500000\n1404010568\t12.500000\n1404011169\t12.500000\n1404011769\t12.500000\n1404012370\t12.500000\n1404012970\t12.500000\n1404013571\t12.560000\n1404014171\t12.620000\n1404014772\t12.750000\n1404015372\t12.880000\n1404015973\t13.000000\n1404016573\t13.060000\n1404017174\t13.060000\n1404017774\t13.000000\n1404018375\t13.060000\n1404018976\t13.190000\n1404019576\t13.440000\n1404020176\t13.560000\n1404020777\t13.750000\n1404021378\t13.940000\n1404021978\t13.810000\n1404022579\t13.940000\n1404023179\t14.000000\n1404023780\t14.190000\n1404024380\t14.620000\n1404024981\t14.880000\n1404025581\t14.810000\n1404026182\t15.000000\n1404026797\t15.250000\n1404027398\t15.380000\n1404027998\t15.500000\n1404028599\t15.310000\n1404029200\t15.060000\n1404029800\t15.060000\n1404030401\t15.500000\n1404031001\t15.500000\n1404031602\t15.620000\n1404032202\t16.250000\n1404032803\t16.440000\n1404033403\t18.190000\n1404034004\t18.060000\n1404034604\t18.310000\n1404035205\t17.310000\n1404035805\t17.750000\n1404036406\t17.120000\n1404037007\t16.880000\n1404037607\t17.060000\n1404038208\t16.940000\n1404038808\t17.000000\n1404039409\t17.060000\n1404040009\t17.310000\n1404040610\t18.560000\n1404041210\t18.250000\n1404041811\t18.060000\n1404042411\t18.440000\n1404043012\t18.440000\n1404043612\t18.060000\n1404044213\t18.310000\n1404044813\t18.190000\n1404045429\t17.810000\n1404046030\t17.440000\n1404046630\t17.060000\n1404047231\t16.750000\n1404047831\t16.380000\n1404048432\t15.940000\n1404049032\t15.620000\n1404049633\t15.620000\n1404050233\t15.690000\n1404050834\t16.310000\n1404051434\t17.620000\n1404052035\t18.310000\n1404052635\t18.620000\n1404053236\t18.060000\n1404053836\t18.000000\n1404054437\t17.940000\n1404055037\t17.880000\n1404055638\t18.380000\n1404056238\t17.750000\n1404056839\t17.690000\n1404057440\t17.880000\n1404058040\t17.500000\n1404058641\t17.250000\n1404059241\t16.690000\n1404059842\t16.500000\n1404060442\t16.500000\n1404061043\t16.500000\n1404061643\t16.810000\n1404062244\t16.620000\n1404062844\t16.440000\n1404063460\t16.380000\n1404064061\t16.310000\n1404064661\t16.250000\n1404065262\t16.190000\n1404065862\t16.060000\n1404066463\t16.000000\n1404067063\t15.880000\n1404067664\t15.750000\n1404068264\t15.620000\n1404068865\t15.440000\n1404069466\t15.250000\n1404070066\t15.060000\n1404070667\t14.880000\n1404071267\t14.880000\n1404071868\t14.810000\n1404072468\t14.750000\n1404073069\t14.560000\n1404073669\t14.500000\n1404074270\t14.440000\n1404074870\t14.380000\n1404075471\t14.310000\n1404076071\t14.250000\n1404076672\t14.250000\n1404077272\t14.120000\n1404077873\t14.120000\n1404078473\t13.940000\n1404079074\t14.000000\n1404079674\t13.940000\n1404080275\t13.750000\n1404080875\t13.810000\n1404081491\t13.810000\n1404082092\t13.810000\n1404082692\t13.810000\n1404083293\t13.880000\n1404083893\t13.810000\n1404084494\t13.810000\n1404085094\t13.810000\n1404085695\t13.690000\n1404086295\t13.690000\n1404086896\t13.620000\n1404087496\t13.620000\n1404088097\t13.620000\n1404088698\t13.620000\n1404089298\t13.690000\n1404089899\t13.690000\n1404090499\t13.620000\n1404091100\t13.620000\n1404091700\t13.620000\n1404092301\t13.560000\n1404092901\t13.560000\n1404093502\t13.620000\n1404094102\t13.500000\n1404094703\t13.500000\n1404095303\t13.440000\n1404095904\t13.380000\n1404096504\t13.190000\n1404097105\t13.060000\n1404097706\t12.940000\n1404098306\t12.810000\n1404098907\t12.750000\n1404099507\t12.620000\n1404100123\t12.440000\n1404100723\t12.380000\n1404101324\t12.380000\n1404101924\t12.380000\n1404102525\t12.310000\n1404103125\t12.250000\n1404103726\t12.250000\n1404104326\t12.250000\n1404104927\t12.310000\n1404105528\t12.310000\n1404106128\t12.380000\n1404106729\t12.380000\n1404107329\t12.310000\n1404107930\t12.380000\n1404108530\t12.440000\n1404109131\t12.560000\n1404109731\t12.560000\n1404110332\t12.440000\n1404110932\t12.500000\n1404111533\t12.560000\n1404112133\t12.620000\n1404112734\t12.750000\n1404113334\t12.620000\n1404113935\t12.620000\n1404114535\t12.690000\n1404115136\t12.880000\n1404115736\t13.120000\n1404116337\t13.060000\n1404116938\t13.120000\n1404117553\t13.250000\n1404118154\t13.310000\n1404118754\t13.560000\n1404119355\t13.620000\n1404119955\t13.690000\n1404120556\t13.560000\n1404121156\t13.620000\n1404121757\t14.000000\n1404122357\t14.190000\n1404122958\t14.190000\n1404123558\t14.120000\n1404124159\t14.310000\n1404124759\t14.690000\n1404125360\t14.690000\n1404125961\t14.940000\n1404126561\t15.000000\n1404127162\t15.120000\n1404127762\t15.250000\n1404128363\t15.810000\n1404128963\t16.190000\n1404129564\t16.310000\n1404130164\t16.500000\n1404130765\t16.880000\n1404131365\t16.810000\n1404131966\t16.750000\n1404132566\t16.940000\n1404133167\t17.310000\n1404133767\t17.000000\n1404134368\t16.880000\n1404134969\t17.250000\n1404135584\t17.560000\n1404136185\t17.500000\n1404136785\t17.000000\n1404137386\t16.560000\n1404137986\t16.190000\n1404138587\t16.440000\n1404139187\t16.620000\n1404139788\t16.690000\n1404140388\t16.880000\n1404140989\t16.750000\n1404141589\t16.620000\n1404142190\t16.690000\n1404142791\t17.750000\n1404143391\t18.380000\n1404143992\t17.750000\n1404144592\t17.310000\n1404145193\t16.620000\n1404145793\t16.940000\n1404146394\t18.060000\n1404146994\t22.190000\n1404147595\t22.690000\n1404148195\t19.250000\n1404148796\t17.250000\n1404149396\t17.120000\n1404149997\t17.310000\n1404150597\t17.120000\n1404151198\t16.620000\n1404151798\t16.250000\n1404152399\t15.880000\n1404153000\t15.560000\n1404153600\t15.440000\n1404154216\t15.250000\n1404154816\t15.190000\n1404155417\t15.120000\n1404156017\t14.880000\n1404156618\t14.880000\n1404157218\t14.750000\n1404157819\t14.620000\n1404158419\t14.380000\n1404159020\t14.250000\n1404159620\t14.060000\n1404160221\t13.940000\n1404160821\t13.810000\n1404161422\t13.500000\n1404162022\t13.440000\n1404162623\t13.500000\n1404163224\t13.560000\n1404163824\t13.560000\n1404164425\t13.380000\n1404165025\t13.250000\n1404165626\t13.310000\n1404166226\t13.250000\n1404166827\t13.000000\n1404167427\t12.940000\n1404168028\t13.000000\n1404168628\t13.000000\n1404169229\t13.060000\n1404169830\t13.060000\n1404170430\t13.120000\n1404171031\t13.060000\n1404171646\t13.060000\n1404172247\t13.060000\n1404172847\t13.060000\n1404173448\t12.940000\n1404174048\t13.000000\n1404174649\t12.940000\n1404175250\t12.880000\n1404175850\t12.880000\n1404176451\t12.940000\n1404177051\t12.940000\n1404177652\t13.000000\n1404178252\t13.000000\n1404178853\t12.880000\n1404179453\t12.880000\n1404180054\t12.880000\n1404180654\t12.690000\n1404181255\t12.810000\n1404181855\t12.940000\n1404182456\t12.880000\n1404183057\t12.880000\n1404183657\t13.000000\n1404184258\t12.940000\n1404184858\t13.000000\n1404185459\t13.060000\n1404186059\t13.060000\n1404186660\t13.120000\n1404187260\t13.250000\n1404187861\t13.440000\n1404188461\t13.560000\n1404189077\t13.620000\n1404189677\t13.810000\n1404190278\t13.880000\n1404190878\t13.940000\n1404191479\t13.940000\n1404192079\t14.060000\n1404192680\t14.060000\n1404193280\t14.120000\n1404193881\t14.250000\n1404194482\t14.380000\n1404195082\t14.310000\n1404195683\t14.380000\n1404196283\t14.500000\n1404196884\t14.690000\n1404197484\t14.880000\n1404198085\t15.000000\n1404198685\t15.190000\n1404199286\t15.440000\n1404199886\t15.500000\n1404200487\t15.690000\n1404201088\t15.690000\n1404201688\t15.440000\n1404202289\t15.690000\n1404202889\t15.750000\n1404203490\t16.190000\n1404204090\t16.690000\n1404204691\t16.500000\n1404205291\t16.500000\n1404205892\t16.620000\n1404206507\t17.310000\n1404207108\t17.190000\n1404207708\t16.810000\n1404208309\t17.500000\n1404208909\t17.810000\n1404209510\t18.000000\n1404210111\t18.000000\n1404210711\t18.810000\n1404211312\t18.880000\n1404211912\t19.250000\n1404212513\t18.940000\n1404213113\t19.690000\n1404213714\t19.000000\n1404214314\t18.380000\n1404214915\t18.440000\n1404215515\t19.810000\n1404216116\t18.750000\n1404216716\t19.380000\n1404217317\t19.190000\n1404217917\t18.940000\n1404218518\t19.060000\n1404219118\t20.190000\n1404219719\t20.380000\n1404220320\t19.190000\n1404220920\t19.750000\n1404221521\t19.190000\n1404222121\t18.060000\n1404222722\t16.940000\n1404223322\t16.750000\n1404223923\t16.810000\n1404224523\t16.380000\n1404225124\t17.060000\n1404225739\t17.500000\n1404226340\t17.880000\n1404226941\t18.750000\n1404227541\t19.060000\n1404228142\t18.940000\n1404228742\t18.750000\n1404229343\t18.310000\n1404229943\t18.000000\n1404230544\t19.060000\n1404231144\t19.880000\n1404231745\t21.880000\n1404232345\t23.810000\n1404232946\t21.380000\n1404233546\t25.060000\n1404234147\t22.190000\n1404234747\t19.940000\n1404235348\t19.500000\n1404235949\t18.250000\n1404236549\t17.880000\n1404237150\t17.440000\n1404237750\t17.120000\n1404238351\t17.000000\n1404238951\t16.750000\n1404239552\t16.500000\n1404240152\t16.310000\n1404240753\t16.190000\n1404241353\t16.060000\n1404241954\t15.940000\n1404242554\t15.880000\n1404243155\t15.750000\n1404243756\t15.620000\n1404244371\t15.500000\n1404244972\t15.380000\n1404245572\t15.250000\n1404246173\t15.120000\n1404246773\t15.060000\n1404247374\t14.940000\n1404247974\t14.880000\n1404248575\t14.810000\n1404249175\t14.690000\n1404249776\t14.620000\n1404250377\t14.500000\n1404250977\t14.190000\n1404251578\t14.000000\n1404252178\t14.000000\n1404252779\t14.000000\n1404253379\t13.940000\n1404253980\t13.810000\n1404254580\t13.690000\n1404255181\t13.560000\n1404255781\t13.440000\n1404256382\t13.310000\n1404256982\t13.250000\n1404257583\t13.190000\n1404258183\t13.250000\n1404258784\t13.000000\n1404259385\t12.810000\n1404259985\t12.690000\n1404260586\t12.380000\n1404261186\t12.310000\n1404261787\t11.940000\n1404262387\t12.000000\n1404263003\t11.750000\n1404263603\t11.500000\n1404264204\t10.750000\n1404264804\t10.440000\n1404265405\t10.810000\n1404266005\t10.880000\n1404266606\t11.190000\n1404267207\t10.810000\n1404267807\t10.810000\n1404268408\t10.500000\n1404269008\t10.380000\n1404269609\t10.310000\n1404270209\t10.190000\n1404270810\t10.060000\n1404271410\t10.000000\n1404272011\t9.750000\n1404272611\t9.940000\n1404273212\t10.120000\n1404273813\t10.060000\n1404274413\t10.120000\n1404275014\t10.620000\n1404275614\t10.690000\n1404276215\t10.810000\n1404276815\t11.250000\n1404277416\t11.750000\n1404278016\t12.060000\n1404278617\t12.500000\n1404279217\t13.000000\n1404279818\t13.190000\n1404280433\t13.500000\n1404281034\t13.750000\n1404281634\t14.060000\n1404282235\t14.440000\n1404282835\t14.940000\n1404283436\t15.440000\n1404284036\t15.880000\n1404284637\t16.250000\n1404285237\t16.560000\n1404285838\t17.440000\n1404286438\t17.380000\n1404287039\t17.310000\n1404287639\t16.380000\n1404288240\t17.380000\n1404288841\t17.750000\n1404289441\t17.940000\n1404290042\t18.060000\n1404290642\t18.310000\n1404291243\t18.500000\n1404291843\t18.750000\n1404292444\t19.250000\n1404293044\t19.620000\n1404293645\t19.120000\n1404294245\t19.500000\n1404294846\t19.940000\n1404295446\t19.810000\n1404296047\t20.690000\n1404296647\t20.120000\n1404297248\t19.880000\n1404297848\t19.750000\n1404298464\t20.190000\n1404299064\t20.190000\n1404299665\t20.810000\n1404300266\t20.690000\n1404300866\t20.500000\n1404301467\t21.060000\n1404302067\t21.000000\n1404302668\t20.810000\n1404303268\t21.120000\n1404303869\t20.560000\n1404304469\t20.750000\n1404305070\t21.120000\n1404305670\t20.750000\n1404306271\t20.440000\n1404306871\t21.380000\n1404307472\t21.310000\n1404308072\t21.880000\n1404308673\t22.250000\n1404309274\t21.380000\n1404309874\t20.380000\n1404310475\t19.940000\n1404311075\t20.500000\n1404311676\t21.120000\n1404312276\t21.000000\n1404312877\t20.310000\n1404313477\t19.810000\n1404314078\t19.500000\n1404314678\t19.380000\n1404315279\t19.060000\n1404315880\t17.880000\n1404316480\t16.620000\n1404317081\t17.060000\n1404317681\t18.380000\n1404318282\t17.380000\n1404318882\t17.060000\n1404319483\t17.380000\n1404320098\t21.120000\n1404320699\t22.250000\n1404321299\t20.560000\n1404321900\t18.620000\n1404322500\t18.060000\n1404323101\t17.620000\n1404323701\t16.940000\n1404324302\t16.560000\n1404324903\t16.380000\n1404325503\t16.120000\n1404326104\t15.880000\n1404326704\t15.750000\n1404327305\t15.880000\n1404327905\t15.750000\n1404328506\t15.940000\n1404329106\t16.060000\n1404329707\t15.690000\n1404330307\t15.560000\n1404330908\t15.440000\n1404331508\t15.190000\n1404332109\t15.060000\n1404332709\t14.940000\n1404333310\t14.810000\n1404333910\t14.810000\n1404334511\t14.560000\n1404335111\t14.440000\n1404335712\t14.310000\n1404336313\t14.060000\n1404336913\t14.060000\n1404337514\t14.120000\n1404338114\t14.120000\n1404338715\t14.000000\n1404339315\t13.880000\n1404339931\t13.560000\n1404340531\t13.120000\n1404341132\t13.000000\n1404341732\t13.190000\n1404342333\t13.190000\n1404342933\t13.120000\n1404343534\t13.060000\n1404344134\t13.060000\n1404344735\t13.060000\n1404345335\t13.060000\n1404345936\t13.000000\n1404346537\t13.000000\n1404347137\t12.940000\n1404347738\t13.060000\n1404348338\t13.120000\n1404348939\t13.120000\n1404349539\t13.120000\n1404350140\t13.060000\n1404350740\t13.000000\n1404351341\t12.940000\n1404351941\t12.880000\n1404352542\t12.880000\n1404353142\t12.750000\n1404353743\t12.690000\n1404354343\t12.690000\n1404354944\t12.620000\n1404355544\t12.810000\n1404356145\t12.880000\n1404356746\t13.000000\n1404357346\t13.060000\n1404357947\t13.120000\n1404358562\t13.250000\n1404359163\t13.250000\n1404359763\t13.310000\n1404360364\t13.560000\n1404360964\t13.750000\n1404361565\t14.000000\n1404362165\t14.120000\n1404362766\t14.310000\n1404363366\t14.440000\n1404363967\t14.750000\n1404364568\t15.190000\n1404365168\t15.190000\n1404365769\t14.940000\n1404366369\t15.190000\n1404366970\t15.310000\n1404367570\t15.250000\n1404368171\t15.380000\n1404368771\t15.500000\n1404369372\t15.560000\n1404369972\t15.560000\n1404370573\t15.690000\n1404371173\t15.810000\n1404371774\t15.810000\n1404372374\t15.940000\n1404372975\t16.000000\n1404373575\t16.060000\n1404374176\t16.060000\n1404374776\t16.440000\n1404375377\t16.620000\n1404375978\t16.620000\n1404376578\t16.690000\n1404377194\t16.310000\n1404377794\t16.120000\n1404378395\t16.000000\n1404378995\t16.120000\n1404379596\t16.560000\n1404380196\t16.620000\n1404380797\t17.060000\n1404381397\t16.690000\n1404381998\t16.620000\n1404382598\t16.880000\n1404383199\t16.750000\n1404383800\t16.500000\n1404384400\t16.620000\n1404385001\t16.310000\n1404385601\t15.940000\n1404386202\t15.690000\n1404386802\t15.440000\n1404387403\t15.500000\n1404388003\t15.560000\n1404388604\t15.810000\n1404389204\t16.060000\n1404389805\t16.190000\n1404390405\t16.190000\n1404391006\t16.440000\n1404391606\t17.120000\n1404392207\t18.250000\n1404392807\t17.620000\n1404393408\t17.310000\n1404394009\t18.060000\n1404394609\t18.500000\n1404395210\t18.440000\n1404395810\t19.060000\n1404396426\t18.880000\n1404397026\t18.880000\n1404397627\t18.560000\n1404398227\t18.810000\n1404398828\t19.000000\n1404399428\t19.000000\n1404400029\t19.310000\n1404400629\t18.940000\n1404401230\t19.310000\n1404401831\t19.060000\n1404402431\t18.810000\n1404403032\t19.620000\n1404403632\t19.620000\n1404404233\t19.060000\n1404404833\t18.620000\n1404405434\t18.310000\n1404406034\t18.440000\n1404406635\t18.060000\n1404407235\t17.810000\n1404407836\t18.380000\n1404408436\t18.620000\n1404409037\t18.060000\n1404409637\t18.120000\n1404410238\t17.880000\n1404410838\t17.560000\n1404411439\t17.750000\n1404412039\t17.690000\n1404412640\t17.310000\n1404413240\t16.940000\n1404413841\t16.620000\n1404414457\t16.440000\n1404415057\t16.190000\n1404415658\t15.940000\n1404416258\t15.750000\n1404416859\t15.560000\n1404417459\t15.380000\n1404418060\t15.250000\n1404418660\t15.060000\n1404419261\t14.940000\n1404419861\t14.810000\n1404420462\t14.620000\n1404421062\t14.500000\n1404421663\t14.440000\n1404422263\t14.380000\n1404422864\t14.250000\n1404423465\t14.000000\n1404424065\t13.810000\n1404424666\t13.880000\n1404425266\t14.000000\n1404425867\t13.880000\n1404426467\t13.810000\n1404427068\t13.750000\n1404427668\t13.750000\n1404428269\t13.620000\n1404428869\t13.560000\n1404429470\t13.560000\n1404430070\t13.440000\n1404430671\t13.440000\n1404431271\t13.440000\n1404431887\t13.380000\n1404432487\t13.310000\n1404433088\t13.310000\n1404433688\t13.250000\n1404434289\t13.190000\n1404434890\t13.060000\n1404435490\t13.060000\n1404436091\t12.940000\n1404436691\t12.810000\n1404437292\t12.750000\n1404437892\t12.560000\n1404438493\t12.380000\n1404439093\t12.120000\n1404439694\t11.880000\n1404440294\t12.000000\n1404440895\t12.120000\n1404441495\t11.940000\n1404442096\t12.000000\n1404442697\t12.000000\n1404443297\t12.190000\n1404443898\t12.060000\n1404444498\t11.880000\n1404445099\t12.250000\n1404445699\t12.380000\n1404446300\t12.620000\n1404446900\t12.750000\n1404447501\t13.000000\n1404448101\t13.310000\n1404448717\t13.440000\n1404449317\t13.560000\n1404449918\t13.810000\n1404450518\t14.060000\n1404451119\t14.250000\n1404451719\t14.380000\n1404452320\t14.620000\n1404452920\t14.810000\n1404453521\t15.000000\n1404454121\t15.250000\n1404454722\t15.560000\n1404455322\t15.440000\n1404455923\t15.560000\n1404456523\t15.690000\n1404457124\t15.750000\n1404457725\t15.880000\n1404458325\t16.500000\n1404458926\t16.380000\n1404459526\t16.690000\n1404460127\t16.560000\n1404460727\t17.310000\n1404461328\t17.000000\n1404461928\t18.310000\n1404462529\t17.120000\n1404463129\t18.190000\n1404463730\t18.310000\n1404464330\t18.190000\n1404464931\t18.620000\n1404465546\t18.940000\n1404466147\t18.940000\n1404466747\t18.810000\n1404467348\t19.120000\n1404467948\t19.190000\n1404468549\t19.500000\n1404469149\t19.810000\n1404469750\t19.500000\n1404470351\t20.190000\n1404470951\t20.500000\n1404471552\t20.060000\n1404472152\t20.310000\n1404472753\t19.880000\n1404473353\t20.440000\n1404473954\t20.620000\n1404474554\t20.880000\n1404475155\t20.880000\n1404475755\t20.940000\n1404476356\t21.060000\n1404476956\t21.120000\n1404477557\t21.440000\n1404478157\t21.750000\n1404478758\t21.880000\n1404479359\t21.940000\n1404479959\t22.060000\n1404480560\t21.750000\n1404481160\t22.120000\n1404481761\t22.120000\n1404482361\t22.120000\n1404482962\t22.250000\n1404483562\t22.380000\n1404484178\t22.250000\n1404484778\t22.190000\n1404485379\t21.940000\n1404485979\t21.440000\n1404486580\t21.000000\n1404487180\t22.060000\n1404487781\t22.440000\n1404488381\t21.620000\n1404488982\t22.380000\n1404489582\t22.810000\n1404490183\t23.190000\n1404490783\t24.060000\n1404491384\t25.940000\n1404491985\t25.500000\n1404492585\t26.690000\n1404493186\t25.880000\n1404493786\t24.500000\n1404494387\t24.690000\n1404494987\t23.940000\n1404495588\t21.880000\n1404496188\t21.380000\n1404496789\t22.120000\n1404497389\t21.810000\n1404497990\t21.440000\n1404498590\t21.250000\n1404499191\t21.060000\n1404499791\t20.620000\n1404500392\t20.310000\n1404500993\t19.810000\n1404501593\t19.560000\n1404502209\t19.380000\n1404502809\t19.060000\n1404503410\t18.940000\n1404504010\t18.620000\n1404504611\t18.060000\n1404505211\t17.940000\n1404505812\t17.810000\n1404506412\t17.620000\n1404507013\t17.380000\n1404507613\t16.560000\n1404508214\t16.440000\n1404508814\t16.500000\n1404509415\t16.380000\n1404510015\t16.120000\n1404510616\t16.250000\n1404511216\t16.060000\n1404511817\t15.940000\n1404512417\t15.620000\n1404513018\t15.560000\n1404513618\t15.690000\n1404514219\t15.560000\n1404514820\t15.440000\n1404515420\t15.120000\n1404516021\t15.120000\n1404516621\t14.940000\n1404517222\t14.880000\n1404517822\t14.690000\n1404518423\t14.690000\n1404519023\t14.690000\n1404519639\t14.750000\n1404520239\t14.690000\n1404520840\t14.620000\n1404521440\t14.560000\n1404522041\t14.620000\n1404522641\t14.690000\n1404523242\t14.750000\n1404523842\t14.880000\n1404524443\t14.810000\n1404525044\t14.940000\n1404525644\t14.880000\n1404526245\t14.880000\n1404526845\t14.880000\n1404527446\t14.810000\n1404528046\t14.690000\n1404528647\t14.620000\n1404529247\t14.620000\n1404529848\t14.620000\n1404530448\t14.810000\n1404531049\t15.000000\n1404531649\t15.000000\n1404532250\t14.880000\n1404532850\t14.940000\n1404533451\t15.120000\n1404534051\t15.250000\n1404534652\t15.440000\n1404535252\t15.620000\n1404535853\t15.810000\n1404536453\t16.000000\n1404537054\t16.190000\n1404537669\t16.440000\n1404538270\t16.620000\n1404538870\t16.880000\n1404539471\t17.120000\n1404540071\t17.380000\n1404540672\t17.690000\n1404541273\t18.060000\n1404541873\t18.620000\n1404542474\t19.190000\n1404543074\t19.690000\n1404543675\t19.940000\n1404544275\t19.810000\n1404544876\t20.440000\n1404545476\t21.000000\n1404546077\t21.440000\n1404546677\t21.750000\n1404547278\t22.060000\n1404547878\t22.380000\n1404548479\t21.810000\n1404549079\t21.690000\n1404549680\t21.690000\n1404550280\t21.880000\n1404550881\t22.310000\n1404551481\t23.000000\n1404552082\t22.880000\n1404552683\t22.750000\n1404553283\t23.810000\n1404553884\t24.190000\n1404554484\t23.750000\n1404555085\t24.810000\n1404555700\t25.120000\n1404556301\t24.120000\n1404556901\t24.000000\n1404557502\t24.940000\n1404558102\t25.440000\n1404558703\t25.380000\n1404559303\t25.690000\n1404559904\t24.250000\n1404560504\t23.750000\n1404561105\t23.750000\n1404561705\t23.810000\n1404562306\t23.810000\n1404562906\t23.750000\n1404563507\t23.810000\n1404564107\t24.310000\n1404564708\t24.880000\n1404565308\t25.880000\n1404565909\t26.060000\n1404566510\t26.060000\n1404567110\t25.440000\n1404567711\t25.810000\n1404568311\t25.250000\n1404568912\t24.810000\n1404569512\t25.120000\n1404570113\t25.620000\n1404570713\t25.750000\n1404571329\t25.690000\n1404571929\t24.810000\n1404572530\t25.000000\n1404573130\t25.500000\n1404573731\t25.380000\n1404574331\t25.060000\n1404574932\t25.120000\n1404575532\t25.560000\n1404576133\t25.380000\n1404576733\t25.440000\n1404577334\t26.310000\n1404577935\t29.060000\n1404578535\t29.810000\n1404579136\t29.440000\n1404579736\t28.500000\n1404580337\t25.750000\n1404580937\t26.560000\n1404581538\t25.690000\n1404582138\t24.190000\n1404582739\t23.440000\n1404583339\t23.750000\n1404583940\t23.000000\n1404584540\t22.560000\n1404585141\t22.310000\n1404585741\t22.120000\n1404586342\t21.880000\n1404586942\t21.690000\n1404587543\t21.380000\n1404588143\t21.060000\n1404588759\t20.880000\n1404589360\t20.620000\n1404589960\t20.440000\n1404590561\t20.250000\n1404591161\t20.000000\n1404591762\t19.880000\n1404592362\t19.690000\n1404592963\t19.620000\n1404593563\t19.380000\n1404594164\t19.120000\n1404594764\t18.940000\n1404595365\t18.750000\n1404595965\t18.560000\n1404596566\t18.560000\n1404597166\t18.440000\n1404597767\t18.310000\n1404598368\t18.190000\n1404598968\t18.120000\n1404599568\t17.940000\n1404600169\t17.620000\n1404600769\t17.620000\n1404601370\t17.500000\n1404601970\t17.500000\n1404602571\t17.500000\n1404603172\t17.380000\n1404603772\t17.060000\n1404604373\t17.000000\n1404604973\t16.940000\n1404605574\t16.880000\n1404606189\t16.940000\n1404606790\t16.810000\n1404607390\t16.620000\n1404607991\t16.560000\n1404608591\t16.500000\n1404609192\t16.560000\n1404609792\t16.620000\n1404610393\t16.560000\n1404610993\t16.380000\n1404611594\t16.190000\n1404612194\t16.120000\n1404612795\t16.000000\n1404613395\t16.000000\n1404613996\t16.000000\n1404614596\t16.120000\n1404615197\t16.190000\n1404615798\t16.190000\n1404616398\t16.250000\n1404616999\t16.310000\n1404617599\t16.380000\n1404618200\t16.500000\n1404618800\t16.620000\n1404619401\t16.750000\n1404620001\t16.810000\n1404620602\t17.060000\n1404621202\t17.190000\n1404621803\t17.250000\n1404622403\t17.250000\n1404623004\t17.380000\n1404623619\t17.560000\n1404624220\t17.690000\n1404624820\t17.880000\n1404625421\t18.310000\n1404626021\t18.440000\n1404626622\t18.560000\n1404627223\t18.810000\n1404627823\t19.120000\n1404628424\t19.190000\n1404629024\t19.440000\n1404629625\t19.380000\n1404630225\t19.310000\n1404630826\t19.440000\n1404631426\t19.620000\n1404632027\t19.810000\n1404632627\t20.060000\n1404633228\t20.620000\n1404633828\t20.810000\n1404634429\t20.810000\n1404635029\t21.120000\n1404635630\t20.810000\n1404636230\t20.750000\n1404636831\t21.690000\n1404637431\t21.880000\n1404638032\t21.880000\n1404638632\t22.880000\n1404639233\t23.310000\n1404639833\t23.500000\n1404640434\t23.750000\n1404641034\t23.940000\n1404641650\t23.940000\n1404642251\t23.940000\n1404642851\t24.060000\n1404643452\t24.000000\n1404644052\t24.190000\n1404644653\t24.250000\n1404645253\t24.620000\n1404645854\t24.750000\n1404646454\t24.810000\n1404647055\t24.810000\n1404647655\t24.000000\n1404648256\t24.500000\n1404648856\t24.940000\n1404649457\t25.440000\n1404650057\t25.560000\n1404650658\t25.810000\n1404651258\t25.810000\n1404651859\t25.810000\n1404652459\t25.750000\n1404653060\t25.690000\n1404653660\t25.690000\n1404654261\t25.880000\n1404654861\t26.120000\n1404655462\t26.190000\n1404656062\t26.120000\n1404656663\t26.380000\n1404657264\t26.440000\n1404657864\t26.440000\n1404658465\t26.310000\n1404659080\t26.380000\n1404659681\t26.380000\n1404660281\t26.000000\n1404660882\t26.250000\n1404661482\t26.120000\n1404662083\t26.380000\n1404662683\t26.380000\n1404663284\t27.060000\n1404663884\t29.190000\n1404664485\t31.120000\n1404665085\t31.750000\n1404665686\t31.000000\n1404666287\t30.060000\n1404666887\t28.000000\n1404667488\t25.880000\n1404668088\t24.940000\n1404668689\t24.440000\n1404669289\t24.880000\n1404669890\t24.750000\n1404670490\t24.120000\n1404671091\t23.500000\n1404671691\t23.000000\n1404672292\t22.560000\n1404672892\t22.310000\n1404673493\t22.060000\n1404674094\t21.750000\n1404674694\t21.440000\n1404675295\t21.250000\n1404675895\t21.060000\n1404676496\t20.940000\n1404677111\t20.750000\n1404677712\t20.620000\n1404678312\t20.620000\n1404678913\t20.500000\n1404679513\t20.440000\n1404680114\t20.380000\n1404680714\t20.310000\n1404681315\t20.190000\n1404681915\t20.120000\n1404682516\t20.190000\n1404683116\t20.060000\n1404683717\t20.000000\n1404684317\t19.880000\n1404684918\t19.880000\n1404685518\t19.810000\n1404686119\t19.750000\n1404686719\t19.690000\n1404687320\t19.560000\n1404687920\t19.440000\n1404688521\t19.310000\n1404689121\t19.190000\n1404689722\t19.000000\n1404690323\t18.810000\n1404690923\t18.750000\n1404691524\t18.690000\n1404692124\t18.560000\n1404692725\t18.380000\n1404693325\t18.250000\n1404693926\t18.250000\n1404694526\t18.120000\n1404695142\t18.060000\n1404695742\t17.880000\n1404696343\t17.810000\n1404696943\t17.750000\n1404697544\t17.690000\n1404698144\t17.620000\n1404698745\t17.500000\n1404699346\t17.310000\n1404699946\t17.380000\n1404700547\t17.440000\n1404701147\t17.380000\n1404701748\t17.440000\n1404702348\t17.500000\n1404702949\t17.500000\n1404703549\t17.560000\n1404704150\t17.620000\n1404704750\t17.690000\n1404705351\t17.750000\n1404705951\t17.810000\n1404706552\t17.940000\n1404707152\t18.060000\n1404707753\t18.060000\n1404708354\t18.190000\n1404708954\t18.310000\n1404709555\t18.380000\n1404710155\t18.500000\n1404710756\t18.560000\n1404711356\t18.690000\n1404711957\t18.880000\n1404712557\t19.060000\n1404713158\t19.250000\n1404713758\t19.440000\n1404714359\t19.690000\n1404714959\t20.060000\n1404715560\t20.440000\n1404716160\t20.880000\n1404716776\t21.310000\n1404717376\t21.560000\n1404717977\t21.750000\n1404718577\t22.000000\n1404719178\t22.250000\n1404719778\t22.620000\n1404720379\t22.880000\n1404720980\t23.190000\n1404721580\t23.310000\n1404722181\t23.690000\n1404722781\t23.880000\n1404723382\t24.190000\n1404723982\t24.440000\n1404724583\t24.620000\n1404725183\t24.810000\n1404725784\t25.000000\n1404726384\t25.120000\n1404726985\t25.310000\n1404727585\t25.560000\n1404728186\t25.810000\n1404728786\t26.000000\n1404729387\t26.120000\n1404729987\t26.190000\n1404730588\t26.310000\n1404731189\t26.560000\n1404731789\t26.690000\n1404732390\t26.880000\n1404732990\t27.000000\n1404733591\t27.190000\n1404734191\t27.250000\n1404734792\t27.380000\n1404735392\t27.620000\n1404735993\t27.880000\n1404736593\t28.120000\n1404737209\t28.120000\n1404737809\t28.380000\n1404738410\t28.440000\n1404739011\t28.440000\n1404739611\t28.560000\n1404740212\t28.620000\n1404740812\t28.500000\n1404741413\t28.620000\n1404742013\t28.560000\n1404742614\t28.690000\n1404743214\t28.750000\n1404743815\t28.620000\n1404744415\t28.190000\n1404745016\t28.440000\n1404745616\t27.810000\n1404746217\t27.940000\n1404746817\t27.810000\n1404747418\t27.690000\n1404748019\t27.500000\n1404748619\t27.500000\n1404749220\t27.310000\n1404749820\t27.380000\n1404750421\t27.440000\n1404751021\t26.810000\n1404751622\t26.000000\n1404752222\t25.560000\n1404752823\t25.250000\n1404753423\t25.060000\n1404754024\t24.880000\n1404754624\t24.810000\n1404755225\t24.750000\n1404755825\t24.560000\n1404756441\t23.810000\n1404757041\t23.190000\n1404757642\t23.060000\n1404758243\t22.750000\n1404758843\t22.500000\n1404759444\t22.380000\n1404760044\t22.380000\n1404760645\t22.500000\n1404761245\t22.250000\n1404761846\t22.120000\n1404762446\t21.880000\n1404763047\t21.560000\n1404763647\t21.440000\n1404764248\t21.310000\n1404764848\t21.310000\n1404765449\t21.000000\n1404766049\t21.060000\n1404766650\t20.620000\n1404767250\t20.380000\n1404767851\t20.380000\n1404768451\t20.440000\n1404769052\t20.310000\n1404769652\t20.250000\n1404770253\t20.250000\n1404770853\t20.250000\n1404771454\t20.120000\n1404772054\t20.060000\n1404772655\t20.000000\n1404773255\t19.940000\n1404773871\t19.880000\n1404774472\t19.810000\n1404775072\t19.690000\n1404775673\t19.690000\n1404776273\t19.690000\n1404776874\t19.440000\n1404777474\t19.440000\n1404778075\t19.440000\n1404778675\t19.250000\n1404779276\t19.190000\n1404779876\t19.120000\n1404780477\t19.000000\n1404781077\t18.880000\n1404781678\t18.750000\n1404782278\t18.560000\n1404782879\t18.500000\n1404783479\t18.620000\n1404784080\t18.500000\n1404784680\t18.560000\n1404785281\t18.500000\n1404785881\t18.560000\n1404786482\t18.380000\n1404787082\t18.500000\n1404787683\t18.500000\n1404788283\t18.500000\n1404788884\t18.560000\n1404789484\t18.620000\n1404790085\t18.690000\n1404790685\t18.750000\n1404791286\t18.810000\n1404791901\t18.880000\n1404792502\t18.940000\n1404793102\t19.060000\n1404793703\t19.190000\n1404794304\t19.310000\n1404794904\t19.380000\n1404795505\t19.500000\n1404796105\t19.620000\n1404796706\t19.690000\n1404797306\t19.810000\n1404797907\t19.880000\n1404798507\t20.060000\n1404799108\t20.190000\n1404799708\t20.380000\n1404800309\t20.560000\n1404800909\t21.000000\n1404801510\t21.380000\n1404802111\t21.880000\n1404802711\t22.310000\n1404803312\t22.690000\n1404803912\t23.060000\n1404804513\t23.500000\n1404805113\t23.690000\n1404805714\t23.940000\n1404806314\t24.380000\n1404806915\t23.880000\n1404807515\t24.750000\n1404808116\t25.000000\n1404808716\t25.250000\n1404809317\t25.310000\n1404809932\t25.620000\n1404810533\t25.880000\n1404811133\t26.250000\n1404811734\t26.500000\n1404812334\t26.620000\n1404812935\t26.750000\n1404813535\t26.750000\n1404814136\t27.000000\n1404814736\t27.060000\n1404815337\t26.940000\n1404815937\t27.250000\n1404816538\t27.380000\n1404817139\t27.310000\n1404817739\t27.380000\n1404818340\t27.500000\n1404818940\t27.440000\n1404819541\t26.880000\n1404820141\t26.690000\n1404820742\t27.940000\n1404821342\t28.250000\n1404821943\t28.250000\n1404822543\t28.620000\n1404823144\t28.750000\n1404823744\t29.060000\n1404824345\t29.190000\n1404824945\t29.190000\n1404825546\t28.500000\n1404826146\t29.000000\n1404826747\t28.620000\n1404827348\t28.500000\n1404827963\t28.560000\n1404828563\t28.560000\n1404829164\t27.440000\n1404829765\t26.880000\n1404830365\t28.120000\n1404830966\t27.810000\n1404831566\t27.620000\n1404832167\t27.560000\n1404832767\t27.440000\n1404833368\t27.560000\n1404833968\t27.750000\n1404834569\t27.750000\n1404835169\t27.750000\n1404835770\t27.750000\n1404836370\t28.940000\n1404836971\t31.560000\n1404837571\t32.620000\n1404838172\t32.120000\n1404838772\t31.750000\n1404839373\t30.880000\n1404839973\t30.310000\n1404840574\t29.560000\n1404841174\t28.120000\n1404841775\t27.750000\n1404842375\t27.940000\n1404842976\t27.120000\n1404843576\t26.310000\n1404844177\t25.750000\n1404844777\t25.440000\n1404845378\t25.060000\n1404845994\t24.810000\n1404846594\t24.560000\n1404847195\t24.190000\n1404847795\t23.940000\n1404848396\t23.620000\n1404848996\t23.380000\n1404849597\t23.310000\n1404850197\t23.060000\n1404850798\t22.880000\n1404851398\t22.690000\n1404851999\t22.560000\n1404852599\t22.440000\n1404853200\t22.440000\n1404853800\t22.310000\n1404854401\t22.060000\n1404855001\t22.000000\n1404855602\t21.880000\n1404856202\t21.750000\n1404856803\t21.560000\n1404857403\t21.440000\n1404858004\t21.310000\n1404858604\t21.120000\n1404859205\t21.060000\n1404859806\t20.940000\n1404860406\t20.880000\n1404861007\t20.620000\n1404861607\t20.620000\n1404862208\t20.500000\n1404862823\t20.380000\n1404863424\t20.380000\n1404864024\t20.310000\n1404864625\t20.310000\n1404865225\t20.250000\n1404865826\t20.190000\n1404866426\t20.120000\n1404867027\t20.000000\n1404867627\t20.000000\n1404868228\t19.940000\n1404868828\t19.940000\n1404869429\t19.880000\n1404870029\t19.690000\n1404870630\t19.750000\n1404871230\t19.690000\n1404871831\t19.690000\n1404872432\t19.690000\n1404873032\t19.620000\n1404873633\t19.560000\n1404874233\t19.620000\n1404874834\t19.560000\n1404875434\t19.560000\n1404876035\t19.560000\n1404876635\t19.440000\n1404877236\t19.500000\n1404877836\t19.440000\n1404878437\t19.440000\n1404879037\t19.560000\n1404879638\t19.620000\n1404880239\t19.690000\n1404880839\t19.750000\n1404881455\t19.750000\n1404882055\t19.810000\n1404882656\t19.940000\n1404883256\t20.000000\n1404883857\t20.120000\n1404884457\t20.250000\n1404885058\t20.440000\n1404885658\t20.560000\n1404886259\t20.750000\n1404886859\t20.940000\n1404887460\t21.440000\n1404888060\t21.810000\n1404888661\t22.310000\n1404889261\t22.690000\n1404889862\t23.060000\n1404890462\t23.310000\n1404891063\t23.560000\n1404891663\t23.750000\n1404892264\t24.000000\n1404892865\t24.310000\n1404893465\t24.500000\n1404894066\t24.750000\n1404894666\t25.060000\n1404895267\t25.190000\n1404895867\t25.380000\n1404896468\t25.560000\n1404897068\t25.810000\n1404897669\t26.120000\n1404898269\t26.250000\n1404898870\t26.500000\n1404899485\t26.560000\n1404900086\t26.690000\n1404900686\t26.690000\n1404901287\t26.750000\n1404901887\t26.810000\n1404902488\t26.940000\n1404903088\t27.060000\n1404903689\t27.000000\n1404904289\t27.190000\n1404904890\t27.310000\n1404905491\t27.250000\n1404906091\t27.310000\n1404906692\t27.500000\n1404907292\t27.440000\n1404907893\t27.500000\n1404908493\t27.620000\n1404909094\t27.880000\n1404909694\t27.810000\n1404910295\t27.940000\n1404910895\t27.880000\n1404911496\t28.000000\n1404912096\t28.000000\n1404912697\t28.000000\n1404913297\t27.940000\n1404913898\t27.880000\n1404914513\t27.750000\n1404915114\t27.880000\n1404915714\t27.810000\n1404916315\t27.690000\n1404916915\t27.620000\n1404917516\t27.440000\n1404918116\t27.500000\n1404918717\t27.560000\n1404919318\t27.380000\n1404919918\t27.440000\n1404920519\t27.440000\n1404921119\t27.380000\n1404921720\t27.500000\n1404922320\t27.690000\n1404922921\t29.620000\n1404923521\t32.810000\n1404924122\t34.380000\n1404924722\t33.810000\n1404925323\t32.810000\n1404925924\t31.810000\n1404926524\t31.000000\n1404927125\t29.690000\n1404927725\t28.000000\n1404928326\t28.190000\n1404928926\t28.500000\n1404929527\t26.880000\n1404930127\t25.940000\n1404930728\t25.500000\n1404931328\t25.190000\n1404931929\t24.880000\n1404932529\t24.620000\n1404933145\t24.190000\n1404933745\t24.000000\n1404934346\t23.750000\n1404934946\t23.440000\n1404935547\t23.250000\n1404936147\t23.060000\n1404936748\t22.750000\n1404937348\t22.440000\n1404937949\t22.250000\n1404938549\t22.120000\n1404939150\t22.000000\n1404939751\t21.750000\n1404940351\t21.560000\n1404940952\t21.440000\n1404941552\t21.250000\n1404942153\t21.000000\n1404942753\t20.690000\n1404943354\t20.560000\n1404943954\t20.190000\n1404944555\t20.120000\n1404945155\t19.560000\n1404945756\t19.620000\n1404946356\t19.310000\n1404946957\t19.560000\n1404947557\t19.620000\n1404948158\t19.310000\n1404948758\t19.120000\n1404949359\t18.880000\n1404949974\t18.750000\n1404950575\t18.250000\n1404951175\t18.120000\n1404951776\t18.060000\n1404952377\t17.940000\n1404952977\t18.000000\n1404953578\t17.750000\n1404954178\t17.690000\n1404954779\t17.380000\n1404955379\t17.380000\n1404955980\t17.440000\n1404956580\t17.440000\n1404957181\t17.310000\n1404957781\t17.250000\n1404958382\t17.190000\n1404958982\t16.940000\n1404959583\t16.940000\n1404960183\t16.880000\n1404960784\t16.810000\n1404961384\t16.940000\n1404961985\t16.810000\n1404962585\t16.810000\n1404963186\t16.690000\n1404963786\t16.810000\n1404964387\t16.880000\n1404964987\t17.120000\n1404965588\t17.440000\n1404966188\t17.620000\n1404966789\t17.880000\n1404967404\t18.060000\n1404968005\t18.310000\n1404968605\t18.440000\n1404969206\t18.690000\n1404969806\t18.940000\n1404970407\t19.060000\n1404971008\t19.250000\n1404971608\t19.440000\n1404972209\t19.690000\n1404972809\t19.940000\n1404973410\t20.310000\n1404974010\t20.810000\n1404974611\t21.310000\n1404975211\t21.810000\n1404975812\t22.250000\n1404976412\t22.620000\n1404977013\t23.000000\n1404977613\t23.250000\n1404978214\t23.560000\n1404978815\t23.880000\n1404979415\t24.190000\n1404980016\t24.440000\n1404980616\t24.620000\n1404981217\t24.810000\n1404981817\t24.940000\n1404982418\t25.190000\n1404983018\t25.500000\n1404983619\t25.810000\n1404984219\t25.940000\n1404984820\t26.060000\n1404985420\t26.250000\n1404986036\t26.440000\n1404986636\t26.380000\n1404987237\t26.440000\n1404987837\t26.750000\n1404988438\t26.690000\n1404989038\t26.880000\n1404989639\t26.940000\n1404990239\t26.940000\n1404990840\t27.120000\n1404991440\t27.190000\n1404992041\t27.000000\n1404992641\t27.310000\n1404993242\t27.310000\n1404993842\t27.560000\n1404994443\t27.810000\n1404995044\t27.560000\n1404995644\t27.250000\n1404996245\t28.190000\n1404996845\t28.380000\n1404997446\t28.500000\n1404998046\t28.810000\n1404998647\t28.690000\n1404999247\t27.190000\n1404999848\t26.560000\n1405000448\t26.440000\n1405001049\t26.440000\n1405001649\t26.190000\n1405002250\t25.940000\n1405002850\t25.880000\n1405003451\t25.810000\n1405004067\t25.380000\n1405004667\t25.190000\n1405005268\t24.940000\n1405005868\t24.940000\n1405006469\t24.620000\n1405007069\t24.000000\n1405007670\t23.750000\n1405008270\t23.120000\n1405008871\t23.120000\n1405009471\t23.120000\n1405010072\t23.120000\n1405010672\t23.250000\n1405011273\t23.250000\n1405011874\t23.190000\n1405012474\t23.310000\n1405013075\t23.440000\n1405013675\t23.120000\n1405014276\t23.380000\n1405014876\t22.880000\n1405015477\t22.500000\n1405016077\t22.440000\n1405016678\t22.120000\n1405017278\t22.060000\n1405017879\t21.810000\n1405018479\t21.690000\n1405019080\t21.560000\n1405019680\t21.310000\n1405020281\t21.380000\n1405020881\t21.310000\n1405021482\t21.120000\n1405022082\t20.940000\n1405022698\t20.620000\n1405023299\t20.310000\n1405023899\t20.310000\n1405024500\t20.060000\n1405025100\t19.940000\n1405025701\t19.940000\n1405026301\t20.060000\n1405026902\t20.000000\n1405027502\t20.000000\n1405028103\t19.880000\n1405028703\t19.500000\n1405029304\t19.190000\n1405029904\t18.810000\n1405030505\t18.810000\n1405031105\t18.750000\n1405031706\t18.620000\n1405032306\t18.560000\n1405032907\t18.250000\n1405033507\t18.250000\n1405034108\t18.060000\n1405034709\t17.880000\n1405035309\t17.880000\n1405035910\t17.940000\n1405036510\t17.940000\n1405037111\t17.880000\n1405037711\t18.000000\n1405038312\t18.000000\n1405038912\t17.560000\n1405039513\t17.440000\n1405040113\t17.250000\n1405040714\t16.940000\n1405041329\t16.810000\n1405041930\t16.750000\n1405042530\t16.690000\n1405043131\t16.750000\n1405043731\t16.810000\n1405044332\t16.940000\n1405044932\t16.810000\n1405045533\t16.560000\n1405046133\t16.620000\n1405046734\t16.690000\n1405047334\t16.750000\n1405047935\t16.750000\n1405048536\t16.810000\n1405049136\t16.940000\n1405049737\t17.000000\n1405050337\t16.810000\n1405050938\t17.060000\n1405051538\t17.000000\n1405052139\t17.000000\n1405052739\t16.880000\n1405053340\t16.880000\n1405053940\t16.880000\n1405054541\t16.940000\n1405055141\t16.940000\n1405055742\t17.120000\n1405056342\t17.310000\n1405056943\t17.380000\n1405057558\t17.560000\n1405058159\t17.750000\n1405058759\t18.000000\n1405059360\t18.190000\n1405059961\t18.440000\n1405060561\t18.810000\n1405061162\t19.190000\n1405061762\t19.560000\n1405062363\t19.880000\n1405062963\t20.120000\n1405063564\t20.440000\n1405064164\t20.750000\n1405064765\t21.060000\n1405065365\t21.310000\n1405065966\t21.500000\n1405066566\t21.750000\n1405067167\t21.880000\n1405067767\t22.060000\n1405068368\t22.250000\n1405068968\t22.440000\n1405069569\t22.440000\n1405070169\t22.380000\n1405070770\t22.380000\n1405071370\t22.690000\n1405071971\t22.750000\n1405072571\t22.940000\n1405073172\t23.000000\n1405073773\t23.000000\n1405074373\t23.120000\n1405074974\t23.250000\n1405075589\t23.250000\n1405076190\t23.250000\n1405076790\t23.190000\n1405077391\t23.120000\n1405077991\t23.190000\n1405078592\t23.120000\n1405079192\t23.250000\n1405079793\t23.620000\n1405080393\t23.500000\n1405080994\t23.620000\n1405081594\t23.190000\n1405082195\t22.940000\n1405082795\t23.310000\n1405083396\t23.310000\n1405083996\t22.940000\n1405084597\t23.440000\n1405085197\t23.810000\n1405085798\t23.560000\n1405086398\t23.380000\n1405086999\t23.620000\n1405087599\t23.620000\n1405088200\t23.940000\n1405088800\t23.690000\n1405089401\t23.750000\n1405090001\t24.000000\n1405090602\t23.880000\n1405091202\t23.880000\n1405091803\t23.810000\n1405092404\t23.750000\n1405093004\t24.060000\n1405093620\t24.000000\n1405094220\t24.250000\n1405094821\t24.250000\n1405095421\t25.120000\n1405096022\t28.380000\n1405096622\t31.120000\n1405097223\t31.060000\n1405097823\t29.940000\n1405098424\t28.940000\n1405099024\t28.060000\n1405099625\t27.380000\n1405100225\t25.380000\n1405100826\t24.560000\n1405101426\t25.440000\n1405102027\t24.380000\n1405102628\t22.940000\n1405103228\t22.310000\n1405103829\t21.810000\n1405104429\t21.310000\n1405105030\t21.250000\n1405105630\t20.940000\n1405106231\t20.380000\n1405106831\t20.190000\n1405107432\t19.880000\n1405108032\t19.250000\n1405108633\t18.810000\n1405109233\t18.560000\n1405109834\t18.440000\n1405110434\t18.250000\n1405111035\t18.000000\n1405111635\t17.620000\n1405112236\t17.440000\n1405112836\t17.440000\n1405113452\t17.190000\n1405114052\t16.940000\n1405114653\t16.690000\n1405115253\t16.310000\n1405115854\t16.190000\n1405116454\t16.380000\n1405117055\t16.000000\n1405117655\t15.560000\n1405118255\t15.560000\n1405118856\t15.310000\n1405119457\t15.440000\n1405120057\t15.440000\n1405120658\t15.190000\n1405121258\t15.190000\n1405121859\t15.310000\n1405122459\t14.940000\n1405123060\t14.560000\n1405123660\t14.440000\n1405124261\t14.000000\n1405124861\t13.940000\n1405125462\t13.750000\n1405126062\t13.810000\n1405126663\t13.940000\n1405127263\t14.000000\n1405127879\t13.690000\n1405128479\t13.690000\n1405129080\t13.620000\n1405129680\t13.750000\n1405130281\t13.560000\n1405130882\t13.690000\n1405131482\t13.880000\n1405132083\t13.750000\n1405132683\t13.500000\n1405133284\t13.560000\n1405133884\t13.120000\n1405134485\t13.000000\n1405135085\t12.620000\n1405135686\t12.810000\n1405136286\t13.120000\n1405136887\t13.190000\n1405137487\t13.380000\n1405138088\t13.690000\n1405138688\t14.000000\n1405139289\t14.250000\n1405139889\t14.500000\n1405140490\t14.620000\n1405141090\t14.810000\n1405141691\t15.000000\n1405142291\t15.190000\n1405142892\t15.380000\n1405143493\t15.560000\n1405144093\t15.810000\n1405144694\t16.000000\n1405145294\t16.250000\n1405145895\t16.500000\n1405146495\t16.880000\n1405147111\t17.380000\n1405147711\t17.880000\n1405148312\t18.250000\n1405148912\t18.560000\n1405149513\t19.060000\n1405150113\t19.380000\n1405150714\t19.500000\n1405151314\t19.880000\n1405151915\t19.880000\n1405152515\t20.250000\n1405153116\t20.560000\n1405153717\t20.620000\n1405154317\t20.940000\n1405154918\t21.310000\n1405155518\t21.750000\n1405156119\t21.750000\n1405156719\t22.060000\n1405157320\t22.000000\n1405157920\t21.940000\n1405158521\t22.440000\n1405159121\t22.560000\n1405159722\t22.690000\n1405160322\t22.560000\n1405160923\t22.690000\n1405161523\t22.560000\n1405162124\t22.500000\n1405162724\t22.560000\n1405163325\t22.750000\n1405163925\t22.940000\n1405164541\t23.000000\n1405165141\t22.880000\n1405165742\t23.120000\n1405166343\t23.250000\n1405166943\t23.190000\n1405167544\t23.380000\n1405168144\t23.380000\n1405168745\t23.440000\n1405169345\t23.810000\n1405169946\t23.940000\n1405170546\t24.190000\n1405171147\t24.000000\n1405171747\t24.190000\n1405172348\t24.000000\n1405172948\t23.940000\n1405173549\t23.750000\n1405174149\t23.750000\n1405174750\t23.620000\n1405175350\t23.810000\n1405175951\t23.810000\n1405176551\t23.810000\n1405177152\t23.940000\n1405177752\t24.000000\n1405178353\t23.750000\n1405178954\t23.560000\n1405179554\t23.440000\n1405180155\t23.440000\n1405180755\t23.620000\n1405181371\t23.440000\n1405181971\t23.810000\n1405182572\t24.690000\n1405183172\t25.310000\n1405183773\t25.750000\n1405184373\t25.620000\n1405184974\t24.690000\n1405185574\t23.560000\n1405186175\t23.120000\n1405186775\t22.310000\n1405187376\t21.750000\n1405187977\t21.500000\n1405188577\t21.190000\n1405189178\t20.940000\n1405189778\t20.620000\n1405190379\t20.440000\n1405190979\t20.250000\n1405191580\t20.000000\n1405192180\t19.690000\n1405192781\t19.380000\n1405193381\t19.310000\n1405193982\t19.190000\n1405194582\t19.000000\n1405195183\t18.810000\n1405195783\t18.750000\n1405196384\t18.560000\n1405196984\t18.380000\n1405197585\t18.310000\n1405198186\t18.250000\n1405198801\t18.250000\n1405199402\t18.250000\n1405200002\t18.250000\n1405200603\t18.120000\n1405201203\t18.120000\n1405201804\t18.060000\n1405202404\t18.060000\n1405203005\t18.000000\n1405203605\t17.940000\n1405204206\t17.810000\n1405204806\t17.810000\n1405205407\t17.750000\n1405206007\t17.690000\n1405206608\t17.620000\n1405207208\t17.440000\n1405207809\t17.310000\n1405208409\t17.250000\n1405209010\t17.120000\n1405209610\t17.060000\n1405210211\t17.000000\n1405210811\t17.060000\n1405211412\t17.120000\n1405212012\t17.190000\n1405212613\t17.190000\n1405213214\t17.190000\n1405213814\t17.190000\n1405214415\t17.250000\n1405215030\t17.310000\n1405215631\t17.250000\n1405216231\t17.250000\n1405216832\t17.190000\n1405217432\t17.190000\n1405218033\t17.190000\n1405218633\t17.190000\n1405219234\t17.190000\n1405219834\t17.190000\n1405220435\t17.250000\n1405221035\t17.250000\n1405221636\t17.250000\n1405222236\t17.250000\n1405222837\t17.250000\n1405223437\t17.250000\n1405224038\t17.310000\n1405224638\t17.380000\n1405225239\t17.620000\n1405225840\t17.690000\n1405226440\t17.560000\n1405227041\t17.620000\n1405227641\t17.690000\n1405228242\t17.810000\n1405228842\t18.000000\n1405229443\t18.060000\n1405230043\t18.120000\n1405230644\t18.250000\n1405231244\t18.310000\n1405231845\t18.250000\n1405232445\t18.440000\n1405233061\t18.620000\n1405233661\t19.000000\n1405234262\t19.000000\n1405234862\t18.880000\n1405235463\t19.000000\n1405236063\t19.250000\n1405236664\t19.560000\n1405237264\t19.810000\n1405237865\t19.690000\n1405238466\t19.880000\n1405239066\t20.060000\n1405239667\t20.250000\n1405240267\t20.620000\n1405240868\t20.440000\n1405241468\t20.000000\n1405242069\t19.810000\n1405242669\t19.560000\n1405243270\t19.620000\n1405243870\t19.940000\n1405244471\t20.190000\n1405245071\t20.620000\n1405245672\t20.560000\n1405246272\t20.750000\n1405246873\t21.000000\n1405247473\t21.060000\n1405248074\t20.810000\n1405248675\t20.690000\n1405249275\t21.000000\n1405249876\t21.750000\n1405250476\t21.310000\n1405251092\t21.620000\n1405251692\t21.940000\n1405252293\t22.440000\n1405252893\t22.190000\n1405253494\t21.940000\n1405254094\t22.560000\n1405254695\t23.440000\n1405255295\t22.500000\n1405255896\t22.560000\n1405256496\t23.560000\n1405257097\t22.750000\n1405257697\t22.560000\n1405258298\t22.440000\n1405258899\t22.620000\n1405259499\t22.310000\n1405260100\t23.440000\n1405260700\t22.940000\n1405261301\t22.380000\n1405261901\t22.380000\n1405262502\t22.440000\n1405263102\t22.500000\n1405263703\t22.620000\n1405264303\t22.380000\n1405264904\t22.060000\n1405265504\t21.750000\n1405266105\t21.500000\n1405266705\t21.380000\n1405267306\t21.440000\n1405267906\t21.690000\n1405268507\t22.620000\n1405269123\t25.810000\n1405269723\t22.560000\n1405270324\t22.250000\n1405270924\t21.940000\n1405271525\t21.690000\n1405272125\t21.620000\n1405272726\t21.380000\n1405273326\t21.250000\n1405273927\t21.250000\n1405274527\t21.380000\n1405275128\t21.250000\n1405275728\t21.380000\n1405276329\t21.440000\n1405276929\t21.060000\n1405277530\t20.940000\n1405278130\t20.810000\n1405278731\t20.440000\n1405279331\t20.250000\n1405279932\t20.120000\n1405280532\t20.000000\n1405281133\t19.810000\n1405281734\t19.750000\n1405282334\t19.560000\n1405282935\t19.440000\n1405283535\t19.380000\n1405284136\t19.380000\n1405284736\t19.310000\n1405285337\t19.190000\n1405285937\t19.060000\n1405286538\t19.000000\n1405287153\t18.940000\n1405287754\t18.880000\n1405288354\t18.750000\n1405288955\t18.690000\n1405289555\t18.620000\n1405290156\t18.500000\n1405290756\t18.380000\n1405291357\t18.380000\n1405291957\t18.380000\n1405292558\t18.380000\n1405293158\t18.310000\n1405293759\t18.310000\n1405294359\t18.250000\n1405294960\t18.190000\n1405295560\t18.190000\n1405296161\t18.120000\n1405296761\t18.060000\n1405297362\t18.060000\n1405297963\t18.060000\n1405298563\t18.120000\n1405299164\t18.060000\n1405299764\t18.060000\n1405300365\t18.060000\n1405300965\t18.060000\n1405301566\t18.060000\n1405302166\t18.000000\n1405302767\t18.000000\n1405303367\t17.940000\n1405303983\t17.940000\n1405304583\t17.880000\n1405305184\t17.880000\n1405305784\t17.880000\n1405306385\t17.880000\n1405306985\t17.810000\n1405307586\t17.880000\n1405308186\t17.750000\n1405308787\t17.690000\n1405309387\t17.690000\n1405309988\t17.690000\n1405310588\t17.560000\n1405311189\t17.380000\n1405311789\t17.440000\n1405312390\t17.690000\n1405312990\t17.560000\n1405313591\t17.500000\n1405314192\t17.620000\n1405314792\t17.620000\n1405315393\t17.620000\n1405315993\t17.620000\n1405316594\t17.690000\n1405317194\t17.940000\n1405317795\t18.060000\n1405318395\t18.120000\n1405318996\t18.560000\n1405319596\t18.750000\n1405320197\t19.120000\n1405320797\t19.380000\n1405321413\t19.810000\n1405322013\t20.060000\n1405322614\t20.250000\n1405323214\t20.560000\n1405323815\t20.810000\n1405324415\t20.940000\n1405325016\t20.940000\n1405325617\t21.750000\n1405326217\t21.690000\n1405326818\t22.060000\n1405327418\t21.500000\n1405328019\t21.380000\n1405328619\t21.690000\n1405329220\t22.310000\n1405329820\t21.620000\n1405330421\t22.190000\n1405331021\t21.810000\n1405331622\t21.120000\n1405332222\t20.500000\n1405332823\t19.690000\n1405333423\t19.940000\n1405334024\t20.810000\n1405334624\t20.560000\n1405335225\t20.000000\n1405335825\t20.000000\n1405336426\t20.310000\n1405337026\t19.750000\n1405337627\t19.000000\n1405338227\t17.120000\n1405338843\t17.380000\n1405339444\t17.380000\n1405340044\t17.500000\n1405340645\t18.440000\n1405341245\t19.060000\n1405341846\t19.190000\n1405342446\t19.120000\n1405343047\t19.120000\n1405343647\t19.310000\n1405344248\t19.440000\n1405344848\t19.620000\n1405345449\t19.560000\n1405346049\t18.880000\n1405346650\t18.380000\n1405347250\t18.190000\n1405347851\t18.120000\n1405348451\t18.250000\n1405349052\t18.500000\n1405349652\t19.000000\n1405350253\t18.880000\n1405350854\t18.690000\n1405351454\t18.190000\n1405352055\t17.690000\n1405352655\t17.810000\n1405353256\t17.940000\n1405353856\t17.940000\n1405354457\t17.880000\n1405355057\t17.940000\n1405355658\t17.810000\n1405356258\t18.000000\n1405356874\t18.120000\n1405357474\t18.190000\n1405358075\t18.250000\n1405358675\t18.190000\n1405359276\t18.060000\n1405359876\t17.940000\n1405360477\t17.940000\n1405361077\t17.940000\n1405361678\t17.880000\n1405362279\t17.880000\n1405362879\t17.810000\n1405363479\t17.690000\n1405364080\t17.620000\n1405364681\t17.560000\n1405365281\t17.380000\n1405365882\t17.310000\n1405366482\t17.250000\n1405367083\t17.120000\n1405367683\t17.000000\n1405368284\t16.880000\n1405368884\t16.810000\n1405369485\t16.690000\n1405370085\t16.620000\n1405370686\t16.440000\n1405371286\t16.380000\n1405371887\t16.250000\n1405372487\t16.190000\n1405373088\t16.120000\n1405373689\t16.060000\n1405374289\t15.940000\n1405374905\t15.880000\n1405375505\t15.620000\n1405376106\t15.560000\n1405376706\t15.500000\n1405377307\t15.560000\n1405377907\t15.690000\n1405378508\t15.560000\n1405379108\t15.560000\n1405379709\t15.620000\n1405380309\t15.500000\n1405380910\t15.380000\n1405381510\t15.120000\n1405382111\t14.940000\n1405382712\t15.000000\n1405383312\t15.060000\n1405383913\t15.190000\n1405384513\t15.120000\n1405385114\t15.250000\n1405385714\t15.310000\n1405386315\t15.380000\n1405386915\t15.310000\n1405387516\t15.190000\n1405388116\t15.190000\n1405388717\t15.060000\n1405389317\t14.690000\n1405389918\t14.500000\n1405390518\t14.380000\n1405391119\t14.310000\n1405391719\t14.060000\n1405392320\t13.940000\n1405392920\t14.120000\n1405393536\t14.120000\n1405394137\t13.940000\n1405394737\t13.940000\n1405395338\t13.880000\n1405395938\t14.000000\n1405396539\t14.310000\n1405397139\t14.750000\n1405397740\t15.000000\n1405398340\t15.310000\n1405398941\t15.440000\n1405399541\t15.500000\n1405400142\t15.560000\n1405400742\t15.880000\n1405401343\t16.000000\n1405401943\t16.000000\n1405402544\t16.120000\n1405403144\t16.560000\n1405403745\t17.060000\n1405404346\t17.500000\n1405404946\t17.380000\n1405405547\t17.380000\n1405406147\t17.380000\n1405406748\t17.810000\n1405407348\t18.190000\n1405407949\t18.380000\n1405408549\t18.810000\n1405409165\t19.190000\n1405409765\t19.060000\n1405410366\t18.940000\n1405410966\t19.190000\n1405411567\t19.500000\n1405412167\t19.810000\n1405412768\t20.000000\n1405413368\t20.440000\n1405413969\t20.690000\n1405414569\t20.620000\n1405415170\t20.880000\n1405415770\t20.750000\n1405416371\t21.060000\n1405416972\t21.380000\n1405417572\t21.380000\n1405418173\t21.440000\n1405418773\t21.190000\n1405419374\t21.560000\n1405419974\t21.810000\n1405420575\t21.620000\n1405421175\t21.250000\n1405421776\t22.060000\n1405422376\t22.440000\n1405422977\t21.620000\n1405423577\t20.620000\n1405424178\t20.000000\n1405424779\t20.440000\n1405425379\t20.560000\n1405425980\t20.120000\n1405426580\t19.810000\n1405427181\t19.620000\n1405427796\t19.310000\n1405428397\t18.810000\n1405428997\t18.750000\n1405429598\t19.120000\n1405430198\t19.310000\n1405430799\t19.690000\n1405431399\t20.310000\n1405432000\t20.440000\n1405432600\t19.810000\n1405433201\t19.440000\n1405433801\t19.750000\n1405434402\t20.000000\n1405435003\t19.940000\n1405435603\t19.810000\n1405436204\t19.310000\n1405436804\t19.750000\n1405437405\t19.940000\n1405438005\t20.120000\n1405438606\t21.000000\n1405439206\t21.810000\n1405439807\t21.120000\n1405440407\t20.940000\n1405441008\t22.880000\n1405441608\t24.750000\n1405442209\t24.380000\n1405442810\t22.810000\n1405443425\t21.500000\n1405444026\t21.810000\n1405444626\t20.940000\n1405445227\t20.940000\n1405445827\t21.380000\n1405446428\t21.000000\n1405447028\t20.440000\n1405447629\t20.190000\n1405448229\t20.000000\n1405448830\t19.690000\n1405449430\t19.380000\n1405450031\t19.190000\n1405450631\t19.000000\n1405451232\t18.880000\n1405451832\t18.620000\n1405452433\t18.440000\n1405453033\t18.380000\n1405453634\t18.440000\n1405454234\t18.440000\n1405454835\t18.440000\n1405455435\t18.440000\n1405456036\t18.440000\n1405456636\t18.380000\n1405457237\t18.310000\n1405457837\t18.250000\n1405458438\t18.190000\n1405459038\t18.120000\n1405459639\t18.000000\n1405460239\t17.940000\n1405460855\t17.940000\n1405461456\t17.880000\n1405462056\t17.880000\n1405462657\t17.880000\n1405463257\t17.880000\n1405463858\t17.810000\n1405464458\t17.750000\n1405465059\t17.750000\n1405465659\t17.690000\n1405466260\t17.750000\n1405466860\t17.690000\n1405467461\t17.560000\n1405468061\t17.500000\n1405468662\t17.440000\n1405469262\t17.500000\n1405469863\t17.380000\n1405470463\t17.310000\n1405471064\t17.190000\n1405471664\t16.940000\n1405472265\t16.750000\n1405472865\t16.500000\n1405473466\t16.380000\n1405474067\t16.250000\n1405474667\t16.120000\n1405475268\t16.120000\n1405475868\t16.190000\n1405476469\t16.120000\n1405477069\t16.250000\n1405477670\t16.120000\n1405478285\t16.120000\n1405478886\t16.190000\n1405479486\t16.120000\n1405480087\t16.190000\n1405480687\t16.250000\n1405481288\t16.310000\n1405481888\t16.250000\n1405482489\t16.190000\n1405483089\t16.190000\n1405483690\t16.250000\n1405484290\t16.250000\n1405484891\t16.310000\n1405485492\t16.310000\n1405486092\t16.310000\n1405486693\t16.310000\n1405487293\t16.440000\n1405487894\t16.440000\n1405488494\t16.620000\n1405489095\t16.690000\n1405489695\t16.750000\n1405490296\t16.750000\n1405490896\t16.880000\n1405491497\t17.120000\n1405492097\t17.440000\n1405492698\t17.750000\n1405493298\t18.000000\n1405493899\t18.500000\n1405494499\t18.190000\n1405495115\t18.500000\n1405495715\t18.310000\n1405496316\t18.940000\n1405496917\t19.120000\n1405497517\t19.560000\n1405498118\t19.380000\n1405498718\t19.690000\n1405499319\t19.620000\n1405499919\t20.060000\n1405500520\t20.440000\n1405501120\t20.060000\n1405501721\t20.560000\n1405502321\t20.500000\n1405502922\t20.810000\n1405503522\t20.560000\n1405504123\t20.750000\n1405504723\t21.380000\n1405505324\t21.380000\n1405505924\t21.120000\n1405506525\t20.880000\n1405507125\t21.560000\n1405507726\t21.560000\n1405508327\t20.880000\n1405508927\t21.940000\n1405509528\t22.250000\n1405510128\t21.500000\n1405510728\t21.440000\n1405511329\t21.810000\n1405511930\t21.440000\n1405512530\t21.750000\n1405513131\t21.500000\n1405513746\t21.560000\n1405514347\t21.560000\n1405514947\t21.440000\n1405515548\t21.940000\n1405516148\t21.440000\n1405516749\t21.810000\n1405517349\t22.060000\n1405517950\t22.500000\n1405518550\t22.750000\n1405519151\t22.810000\n1405519751\t22.940000\n1405520352\t22.880000\n1405520952\t23.060000\n1405521553\t23.310000\n1405522153\t23.250000\n1405522754\t23.310000\n1405523354\t23.310000\n1405523955\t23.560000\n1405524555\t23.560000\n1405525156\t23.620000\n1405525756\t24.060000\n1405526357\t23.880000\n1405526957\t24.000000\n1405527558\t24.690000\n1405528158\t26.250000\n1405528759\t27.060000\n1405529359\t26.250000\n1405529960\t25.620000\n1405530561\t25.190000\n1405531161\t25.000000\n1405531762\t24.250000\n1405532362\t24.000000\n1405532978\t23.380000\n1405533578\t22.810000\n1405534179\t22.060000\n1405534779\t21.620000\n1405535380\t21.060000\n1405535980\t20.690000\n1405536581\t20.310000\n1405537181\t20.000000\n1405537782\t19.620000\n1405538382\t19.250000\n1405538983\t19.000000\n1405539583\t18.750000\n1405540184\t18.560000\n1405540784\t18.190000\n1405541385\t17.880000\n1405541986\t17.560000\n1405542586\t17.380000\n1405543187\t17.190000\n1405543787\t17.060000\n1405544388\t16.880000\n1405544988\t16.690000\n1405545589\t16.750000\n1405546189\t16.500000\n1405546790\t16.380000\n1405547390\t16.500000\n1405547991\t16.440000\n1405548591\t16.440000\n1405549192\t15.880000\n1405549792\t15.810000\n1405550393\t15.810000\n1405550993\t15.620000\n1405551594\t15.120000\n1405552195\t15.560000\n1405552810\t15.310000\n1405553411\t14.880000\n1405554011\t14.940000\n1405554612\t14.750000\n1405555212\t14.810000\n1405555813\t14.690000\n1405556413\t14.440000\n1405557014\t14.620000\n1405557614\t14.380000\n1405558215\t14.380000\n1405558815\t14.250000\n1405559416\t14.190000\n1405560016\t14.060000\n1405560617\t14.000000\n1405561217\t13.810000\n1405561818\t13.560000\n1405562419\t13.440000\n1405563019\t13.380000\n1405563620\t13.500000\n1405564220\t13.380000\n1405564821\t13.380000\n1405565421\t13.380000\n1405566022\t13.440000\n1405566622\t13.940000\n1405567223\t14.060000\n1405567823\t14.310000\n1405568424\t14.440000\n1405569024\t14.500000\n1405569625\t14.560000\n1405570225\t14.750000\n1405570826\t14.880000\n1405571426\t14.880000\n1405572042\t15.060000\n1405572642\t15.000000\n1405573243\t15.000000\n1405573843\t15.120000\n1405574444\t15.310000\n1405575044\t15.440000\n1405575645\t15.690000\n1405576246\t15.810000\n1405576846\t16.120000\n1405577447\t16.440000\n1405578047\t16.750000\n1405578648\t17.060000\n1405579248\t17.310000\n1405579849\t17.750000\n1405580449\t17.940000\n1405581050\t17.750000\n1405581650\t18.560000\n1405582251\t18.940000\n1405582851\t19.190000\n1405583452\t18.310000\n1405584052\t19.000000\n1405584653\t19.620000\n1405585253\t19.500000\n1405585854\t19.810000\n1405586454\t19.620000\n1405587055\t19.560000\n1405587655\t20.060000\n1405588256\t20.190000\n1405588856\t20.190000\n1405589472\t20.000000\n1405590072\t20.690000\n1405590673\t20.500000\n1405591273\t20.810000\n1405591874\t20.940000\n1405592474\t21.190000\n1405593075\t21.310000\n1405593675\t21.380000\n1405594276\t21.250000\n1405594876\t21.620000\n1405595477\t21.690000\n1405596078\t22.250000\n1405596678\t21.880000\n1405597279\t22.000000\n1405597879\t21.940000\n1405598480\t22.190000\n1405599080\t22.560000\n1405599681\t22.940000\n1405600281\t22.500000\n1405600882\t21.880000\n1405601482\t22.120000\n1405602083\t22.560000\n1405602683\t21.880000\n1405603284\t22.810000\n1405603884\t22.620000\n1405604485\t22.620000\n1405605086\t22.880000\n1405605686\t22.690000\n1405606287\t22.880000\n1405606887\t22.750000\n1405607503\t23.000000\n1405608103\t22.880000\n1405608704\t23.060000\n1405609304\t23.120000\n1405609905\t22.880000\n1405610505\t22.620000\n1405611106\t22.690000\n1405611706\t22.810000\n1405612307\t22.250000\n1405612907\t22.060000\n1405613508\t21.120000\n1405614108\t20.690000\n1405614709\t20.880000\n1405615309\t20.880000\n1405615910\t20.500000\n1405616511\t20.310000\n1405617111\t20.620000\n1405617712\t21.000000\n1405618312\t20.250000\n1405618913\t20.120000\n1405619513\t21.190000\n1405620114\t22.250000\n1405620714\t21.440000\n1405621315\t21.120000\n1405621915\t20.500000\n1405622516\t20.120000\n1405623116\t19.810000\n1405623717\t19.310000\n1405624317\t18.940000\n1405624918\t18.500000\n1405625533\t18.380000\n1405626134\t18.060000\n1405626734\t17.620000\n1405627335\t17.500000\n1405627936\t16.940000\n1405628536\t16.750000\n1405629137\t16.620000\n1405629737\t16.690000\n1405630338\t16.620000\n1405630938\t16.250000\n1405631539\t16.060000\n1405632139\t15.940000\n1405632740\t15.810000\n1405633340\t15.880000\n1405633941\t16.190000\n1405634541\t16.000000\n1405635142\t16.060000\n1405635742\t15.940000\n1405636343\t16.060000\n1405636943\t16.120000\n1405637544\t15.880000\n1405638144\t15.560000\n1405638745\t15.440000\n1405639345\t15.440000\n1405639946\t15.440000\n1405640546\t15.380000\n1405641147\t15.120000\n1405641747\t15.120000\n1405642348\t14.940000\n1405642948\t14.940000\n1405643564\t14.940000\n1405644165\t14.940000\n1405644765\t14.940000\n1405645366\t14.620000\n1405645966\t14.560000\n1405646567\t14.250000\n1405647167\t14.310000\n1405647768\t14.500000\n1405648368\t14.500000\n1405648969\t14.560000\n1405649569\t14.500000\n1405650170\t14.440000\n1405650770\t14.380000\n1405651371\t14.620000\n1405651971\t14.750000\n1405652572\t14.880000\n1405653172\t14.440000\n1405653773\t14.560000\n1405654374\t14.690000\n1405654974\t14.810000\n1405655575\t15.000000\n1405656175\t15.120000\n1405656776\t15.190000\n1405657376\t15.250000\n1405657977\t15.310000\n1405658577\t15.560000\n1405659178\t15.750000\n1405659778\t16.000000\n1405660394\t16.250000\n1405660994\t16.690000\n1405661595\t16.940000\n1405662195\t17.190000\n1405662796\t17.380000\n1405663396\t17.810000\n1405663997\t17.810000\n1405664597\t18.120000\n1405665198\t18.620000\n1405665798\t18.880000\n1405666399\t19.120000\n1405666999\t19.060000\n1405667600\t18.880000\n1405668200\t19.560000\n1405668801\t19.310000\n1405669402\t19.750000\n1405670002\t19.750000\n1405670603\t20.190000\n1405671203\t20.440000\n1405671804\t20.190000\n1405672404\t20.810000\n1405673005\t21.380000\n1405673605\t21.060000\n1405674206\t20.940000\n1405674806\t20.620000\n1405675407\t21.250000\n1405676008\t21.750000\n1405676608\t22.120000\n1405677209\t21.690000\n1405677809\t21.620000\n1405678410\t22.190000\n1405679025\t21.940000\n1405679626\t21.810000\n1405680226\t21.750000\n1405680827\t22.000000\n1405681427\t22.380000\n1405682028\t22.250000\n1405682628\t23.120000\n1405683229\t22.750000\n1405683829\t23.120000\n1405684430\t23.190000\n1405685030\t23.250000\n1405685631\t23.120000\n1405686232\t22.440000\n1405686832\t23.380000\n1405687433\t22.690000\n1405688033\t22.810000\n1405688634\t23.120000\n1405689234\t23.380000\n1405689835\t23.440000\n1405690435\t23.560000\n1405691036\t23.310000\n1405691636\t23.380000\n1405692237\t23.440000\n1405692837\t23.620000\n1405693438\t23.310000\n1405694038\t23.880000\n1405694639\t23.560000\n1405695239\t23.810000\n1405695840\t24.060000\n1405696455\t23.750000\n1405697056\t23.880000\n1405697656\t23.880000\n1405698257\t23.880000\n1405698857\t23.940000\n1405699458\t24.120000\n1405700058\t24.250000\n1405700659\t26.880000\n1405701259\t28.060000\n1405701860\t28.000000\n1405702460\t27.690000\n1405703061\t26.310000\n1405703662\t25.690000\n1405704262\t25.620000\n1405704863\t25.940000\n1405705463\t25.440000\n1405706064\t24.940000\n1405706664\t23.940000\n1405707265\t23.000000\n1405707865\t22.620000\n1405708466\t22.120000\n1405709066\t21.880000\n1405709667\t21.620000\n1405710267\t21.250000\n1405710868\t20.880000\n1405711469\t20.620000\n1405712069\t20.250000\n1405712670\t19.750000\n1405713270\t19.500000\n1405713871\t19.190000\n1405714486\t18.940000\n1405715087\t18.620000\n1405715687\t18.500000\n1405716288\t18.380000\n1405716888\t18.120000\n1405717489\t17.940000\n1405718089\t17.690000\n1405718690\t17.560000\n1405719290\t17.380000\n1405719891\t17.500000\n1405720491\t17.190000\n1405721092\t17.000000\n1405721692\t16.810000\n1405722293\t16.620000\n1405722893\t16.380000\n1405723494\t16.060000\n1405724094\t15.940000\n1405724695\t15.750000\n1405725296\t15.620000\n1405725896\t15.750000\n1405726497\t15.690000\n1405727097\t15.750000\n1405727698\t15.500000\n1405728298\t15.310000\n1405728899\t15.190000\n1405729514\t15.690000\n1405730115\t15.560000\n1405730715\t15.940000\n1405731316\t15.880000\n1405731916\t15.810000\n1405732517\t15.250000\n1405733117\t15.560000\n1405733718\t15.750000\n1405734318\t15.690000\n1405734919\t15.440000\n1405735520\t14.940000\n1405736120\t14.560000\n1405736721\t14.380000\n1405737321\t14.690000\n1405737922\t14.810000\n1405738522\t14.750000\n1405739123\t14.750000\n1405739723\t14.880000\n1405740324\t15.380000\n1405740924\t15.380000\n1405741525\t15.440000\n1405742125\t15.620000\n1405742726\t15.310000\n1405743326\t15.250000\n1405743927\t15.250000\n1405744527\t15.440000\n1405745128\t15.620000\n1405745728\t15.810000\n1405746329\t16.060000\n1405746944\t16.310000\n1405747545\t16.690000\n1405748145\t16.690000\n1405748746\t16.810000\n1405749347\t17.310000\n1405749947\t17.690000\n1405750548\t18.000000\n1405751148\t18.000000\n1405751749\t18.120000\n1405752349\t18.560000\n1405752950\t18.810000\n1405753550\t19.190000\n1405754151\t19.440000\n1405754751\t20.190000\n1405755352\t20.620000\n1405755952\t20.880000\n1405756553\t20.750000\n1405757153\t20.940000\n1405757754\t21.000000\n1405758354\t21.000000\n1405758955\t20.940000\n1405759556\t21.060000\n1405760156\t21.310000\n1405760757\t21.560000\n1405761357\t21.940000\n1405761958\t22.500000\n1405762558\t22.380000\n1405763159\t22.690000\n1405763759\t23.000000\n1405764360\t23.310000\n1405764960\t23.690000\n1405765576\t23.810000\n1405766176\t24.000000\n1405766777\t24.060000\n1405767377\t24.120000\n1405767978\t23.060000\n1405768578\t22.810000\n1405769179\t22.880000\n1405769779\t23.560000\n1405770380\t24.620000\n1405770981\t24.690000\n1405771581\t24.250000\n1405772182\t24.380000\n1405772782\t23.880000\n1405773383\t23.120000\n1405773983\t22.750000\n1405774584\t22.750000\n1405775184\t22.620000\n1405775785\t22.810000\n1405776385\t22.810000\n1405776986\t23.120000\n1405777586\t22.620000\n1405778187\t22.440000\n1405778787\t22.380000\n1405779388\t22.380000\n1405779988\t23.120000\n1405780589\t24.000000\n1405781190\t23.940000\n1405781805\t23.690000\n1405782406\t23.380000\n1405783006\t23.190000\n1405783607\t23.620000\n1405784207\t23.250000\n1405784808\t23.060000\n1405785408\t23.000000\n1405786009\t23.120000\n1405786609\t23.440000\n1405787210\t24.190000\n1405787810\t25.060000\n1405788411\t28.000000\n1405789011\t28.560000\n1405789612\t28.190000\n1405790212\t26.380000\n1405790813\t26.120000\n1405791413\t23.880000\n1405792014\t23.940000\n1405792614\t23.940000\n1405793215\t23.000000\n1405793815\t22.310000\n1405794416\t22.120000\n1405795016\t21.940000\n1405795617\t21.500000\n1405796218\t21.380000\n1405796818\t21.060000\n1405797419\t20.810000\n1405798019\t20.500000\n1405798620\t20.190000\n1405799220\t19.880000\n1405799836\t19.810000\n1405800436\t19.690000\n1405801037\t19.500000\n1405801637\t19.380000\n1405802238\t19.120000\n1405802838\t18.940000\n1405803439\t18.690000\n1405804040\t18.560000\n1405804640\t18.560000\n1405805241\t18.310000\n1405805841\t18.250000\n1405806442\t18.310000\n1405807042\t18.120000\n1405807643\t18.120000\n1405808243\t17.690000\n1405808844\t17.440000\n1405809444\t17.620000\n1405810045\t17.690000\n1405810645\t17.620000\n1405811246\t17.250000\n1405811847\t17.250000\n1405812447\t16.880000\n1405813048\t16.940000\n1405813648\t16.810000\n1405814249\t16.750000\n1405814849\t16.560000\n1405815450\t16.000000\n1405816050\t16.120000\n1405816651\t15.750000\n1405817251\t15.190000\n1405817867\t15.500000\n1405818467\t15.940000\n1405819068\t15.940000\n1405819668\t16.120000\n1405820269\t15.810000\n1405820869\t15.190000\n1405821470\t15.500000\n1405822070\t15.620000\n1405822671\t15.690000\n1405823271\t15.940000\n1405823872\t16.250000\n1405824472\t16.560000\n1405825073\t16.690000\n1405825673\t16.880000\n1405826274\t16.940000\n1405826875\t17.060000\n1405827475\t17.120000\n1405828076\t17.190000\n1405828676\t17.120000\n1405829277\t17.190000\n1405829877\t17.310000\n1405830478\t17.250000\n1405831078\t17.310000\n1405831679\t17.380000\n1405832279\t17.310000\n1405832880\t17.310000\n1405833480\t17.380000\n1405834081\t17.500000\n1405834682\t17.560000\n1405835297\t17.690000\n1405835898\t17.750000\n1405836498\t17.810000\n1405837099\t17.880000\n1405837699\t18.000000\n1405838300\t18.000000\n1405838900\t18.120000\n1405839501\t18.250000\n1405840101\t18.440000\n1405840702\t18.560000\n1405841302\t18.750000\n1405841903\t18.940000\n1405842503\t19.250000\n1405843104\t19.880000\n1405843704\t20.120000\n1405844305\t20.380000\n1405844905\t20.380000\n1405845506\t21.060000\n1405846106\t21.120000\n1405846707\t21.940000\n1405847307\t21.620000\n1405847908\t22.250000\n1405848508\t22.310000\n1405849109\t22.250000\n1405849709\t22.560000\n1405850310\t22.750000\n1405850911\t22.440000\n1405851511\t22.120000\n1405852112\t22.750000\n1405852712\t22.810000\n1405853328\t22.880000\n1405853928\t22.940000\n1405854529\t23.000000\n1405855129\t23.250000\n1405855730\t23.380000\n1405856330\t23.560000\n1405856931\t23.560000\n1405857531\t23.690000\n1405858132\t24.000000\n1405858732\t24.000000\n1405859333\t24.120000\n1405859933\t24.440000\n1405860534\t24.440000\n1405861135\t24.690000\n1405861735\t24.810000\n1405862336\t25.000000\n1405862936\t25.060000\n1405863537\t25.190000\n1405864137\t25.190000\n1405864738\t25.250000\n1405865338\t25.440000\n1405865939\t25.250000\n1405866539\t25.310000\n1405867140\t25.380000\n1405867740\t25.440000\n1405868341\t25.380000\n1405868941\t25.500000\n1405869542\t25.440000\n1405870142\t25.440000\n1405870743\t25.560000\n1405871358\t25.880000\n1405871959\t25.880000\n1405872560\t26.000000\n1405873160\t26.880000\n1405873761\t30.190000\n1405874361\t32.000000\n1405874962\t31.810000\n1405875562\t31.060000\n1405876163\t29.880000\n1405876763\t29.190000\n1405877364\t28.750000\n1405877964\t28.190000\n1405878565\t27.810000\n1405879165\t27.310000\n1405879766\t26.120000\n1405880366\t25.190000\n1405880967\t24.620000\n1405881567\t24.190000\n1405882168\t23.810000\n1405882768\t23.560000\n1405883369\t23.250000\n1405883969\t22.880000\n1405884570\t22.620000\n1405885170\t22.310000\n1405885771\t21.880000\n1405886371\t21.620000\n1405886972\t21.380000\n1405887572\t21.190000\n1405888173\t21.060000\n1405888788\t20.940000\n1405889389\t20.440000\n1405889990\t20.310000\n1405890590\t19.810000\n1405891191\t19.880000\n1405891791\t19.750000\n1405892392\t19.690000\n1405892992\t19.310000\n1405893593\t19.190000\n1405894193\t19.120000\n1405894794\t19.060000\n1405895394\t18.880000\n1405895995\t18.500000\n1405896595\t18.250000\n1405897196\t18.250000\n1405897796\t18.060000\n1405898397\t18.000000\n1405898997\t17.940000\n1405899598\t18.060000\n1405900198\t17.880000\n1405900799\t17.940000\n1405901399\t17.750000\n1405902000\t17.060000\n1405902600\t16.940000\n1405903201\t16.880000\n1405903801\t16.440000\n1405904402\t16.690000\n1405905002\t16.500000\n1405905618\t16.500000\n1405906219\t16.560000\n1405906819\t16.690000\n1405907420\t16.250000\n1405908020\t16.120000\n1405908621\t16.190000\n1405909221\t15.940000\n1405909822\t15.750000\n1405910422\t15.620000\n1405911023\t15.690000\n1405911623\t15.500000\n1405912224\t15.620000\n1405912824\t15.750000\n1405913425\t15.750000\n1405914025\t15.810000\n1405914626\t15.940000\n1405915226\t15.880000\n1405915827\t16.060000\n1405916427\t15.880000\n1405917028\t16.000000\n1405917628\t16.250000\n1405918229\t16.620000\n1405918829\t17.000000\n1405919430\t17.310000\n1405920030\t17.810000\n1405920631\t18.000000\n1405921231\t18.250000\n1405921832\t18.500000\n1405922432\t18.690000\n1405923033\t18.940000\n1405923633\t19.190000\n1405924249\t19.560000\n1405924849\t20.000000\n1405925450\t20.310000\n1405926051\t20.690000\n1405926651\t21.060000\n1405927252\t21.310000\n1405927852\t21.560000\n1405928453\t21.810000\n1405929053\t22.000000\n1405929654\t22.310000\n1405930254\t22.380000\n1405930855\t22.440000\n1405931455\t22.750000\n1405932056\t22.810000\n1405932656\t23.060000\n1405933257\t23.060000\n1405933857\t23.060000\n1405934458\t23.120000\n1405935058\t23.380000\n1405935659\t23.500000\n1405936259\t23.560000\n1405936860\t23.750000\n1405937460\t23.880000\n1405938061\t24.060000\n1405938661\t24.250000\n1405939262\t24.310000\n1405939862\t24.500000\n1405940463\t24.750000\n1405941064\t24.750000\n1405941664\t24.880000\n1405942265\t25.060000\n1405942865\t25.120000\n1405943466\t25.250000\n1405944066\t25.500000\n1405944667\t25.560000\n1405945282\t25.620000\n1405945883\t25.880000\n1405946483\t26.060000\n1405947084\t26.190000\n1405947684\t26.250000\n1405948285\t26.440000\n1405948885\t26.560000\n1405949486\t26.500000\n1405950086\t26.620000\n1405950687\t26.750000\n1405951288\t26.810000\n1405951888\t26.810000\n1405952489\t26.880000\n1405953089\t27.000000\n1405953690\t27.060000\n1405954290\t27.120000\n1405954891\t27.250000\n1405955491\t27.190000\n1405956092\t27.190000\n1405956692\t27.250000\n1405957293\t27.440000\n1405957893\t27.560000\n1405958494\t27.810000\n1405959094\t28.000000\n1405959695\t26.810000\n1405960295\t25.880000\n1405960896\t25.500000\n1405961511\t25.000000\n1405962112\t24.560000\n1405962712\t24.310000\n1405963313\t24.120000\n1405963913\t23.940000\n1405964514\t23.810000\n1405965114\t23.620000\n1405965715\t23.440000\n1405966315\t23.250000\n1405966916\t23.190000\n1405967516\t23.120000\n1405968117\t23.190000\n1405968717\t23.120000\n1405969318\t23.000000\n1405969919\t22.750000\n1405970519\t22.560000\n1405971120\t22.440000\n1405971720\t22.250000\n1405972321\t22.000000\n1405972921\t21.810000\n1405973522\t21.620000\n1405974122\t21.380000\n1405974723\t21.250000\n1405975323\t21.120000\n1405975924\t20.940000\n1405976524\t20.880000\n1405977125\t20.690000\n1405977726\t20.560000\n1405978326\t20.440000\n1405978927\t20.190000\n1405979527\t19.940000\n1405980143\t19.810000\n1405980743\t19.440000\n1405981344\t19.120000\n1405981944\t19.190000\n1405982545\t19.250000\n1405983145\t18.940000\n1405983746\t19.060000\n1405984346\t18.810000\n1405984947\t18.620000\n1405985547\t18.690000\n1405986148\t18.380000\n1405986748\t18.440000\n1405987349\t18.190000\n1405987949\t18.060000\n1405988550\t17.500000\n1405989150\t17.810000\n1405989751\t17.620000\n1405990351\t17.500000\n1405990952\t17.190000\n1405991553\t16.940000\n1405992153\t17.250000\n1405992754\t17.060000\n1405993354\t17.190000\n1405993955\t16.940000\n1405994555\t17.060000\n1405995156\t17.120000\n1405995756\t17.120000\n1405996357\t16.810000\n1405996957\t16.500000\n1405997573\t16.310000\n1405998173\t16.310000\n1405998774\t16.000000\n1405999374\t15.940000\n1405999975\t15.940000\n1406000575\t16.250000\n1406001176\t16.380000\n1406001776\t16.620000\n1406002377\t16.810000\n1406002977\t16.940000\n1406003578\t17.060000\n1406004179\t17.190000\n1406004779\t17.560000\n1406005380\t17.880000\n1406005980\t18.250000\n1406006581\t18.560000\n1406007181\t18.750000\n1406007782\t19.060000\n1406008382\t19.310000\n1406008983\t19.500000\n1406009583\t19.750000\n1406010184\t20.000000\n1406010784\t20.440000\n1406011385\t20.940000\n1406011985\t21.310000\n1406012586\t21.620000\n1406013186\t22.000000\n1406013787\t22.250000\n1406014387\t22.620000\n1406015003\t22.880000\n1406015603\t23.250000\n1406016204\t23.560000\n1406016804\t23.750000\n1406017405\t23.880000\n1406018005\t24.060000\n1406018606\t24.380000\n1406019206\t24.620000\n1406019807\t24.880000\n1406020407\t24.940000\n1406021008\t25.000000\n1406021608\t25.190000\n1406022209\t25.310000\n1406022809\t25.620000\n1406023410\t25.690000\n1406024011\t25.880000\n1406024611\t25.880000\n1406025212\t26.120000\n1406025812\t26.000000\n1406026413\t26.190000\n1406027013\t25.750000\n1406027614\t26.250000\n1406028214\t26.500000\n1406028815\t26.440000\n1406029415\t26.560000\n1406030016\t26.880000\n1406030616\t27.060000\n1406031217\t27.000000\n1406031817\t27.060000\n1406032418\t27.440000\n1406033018\t27.440000\n1406033634\t27.500000\n1406034234\t27.620000\n1406034835\t27.810000\n1406035435\t27.690000\n1406036036\t27.750000\n1406036636\t27.940000\n1406037237\t28.000000\n1406037837\t28.060000\n1406038438\t28.060000\n1406039039\t28.120000\n1406039639\t28.060000\n1406040240\t28.060000\n1406040840\t28.120000\n1406041441\t28.190000\n1406042041\t28.000000\n1406042642\t27.940000\n1406043242\t28.000000\n1406043843\t28.120000\n1406044443\t28.250000\n1406045044\t28.310000\n1406045644\t28.560000\n1406046245\t27.620000\n1406046845\t27.750000\n1406047446\t31.000000\n1406048046\t31.190000\n1406048647\t29.120000\n1406049247\t28.500000\n1406049848\t26.750000\n1406050448\t27.810000\n1406051064\t27.620000\n1406051665\t27.940000\n1406052265\t27.620000\n1406052866\t26.750000\n1406053466\t26.000000\n1406054067\t25.500000\n1406054667\t25.190000\n1406055268\t24.690000\n1406055868\t24.440000\n1406056469\t24.190000\n1406057069\t23.940000\n1406057670\t23.690000\n1406058270\t23.440000\n1406058871\t23.000000\n1406059471\t22.810000\n1406060072\t22.500000\n1406060672\t22.380000\n1406061273\t21.810000\n1406061873\t21.620000\n1406062474\t21.380000\n1406063074\t21.120000\n1406063675\t20.880000\n1406064275\t20.560000\n1406064876\t20.560000\n1406065477\t20.620000\n1406066077\t20.380000\n1406066677\t19.810000\n1406067278\t19.940000\n1406067878\t19.620000\n1406068494\t19.750000\n1406069095\t19.250000\n1406069695\t19.440000\n1406070296\t19.310000\n1406070896\t19.380000\n1406071497\t19.120000\n1406072097\t18.940000\n1406072698\t18.940000\n1406073298\t18.880000\n1406073899\t18.880000\n1406074499\t18.500000\n1406075100\t18.380000\n1406075700\t18.060000\n1406076301\t18.060000\n1406076901\t17.380000\n1406077502\t17.250000\n1406078103\t17.440000\n1406078703\t17.500000\n1406079304\t17.440000\n1406079904\t17.440000\n1406080505\t17.310000\n1406081105\t17.190000\n1406081706\t16.940000\n1406082306\t16.940000\n1406082907\t16.880000\n1406083507\t16.750000\n1406084108\t16.750000\n1406084708\t16.750000\n1406085309\t16.560000\n1406085910\t16.620000\n1406086525\t16.690000\n1406087126\t16.620000\n1406087726\t16.690000\n1406088327\t16.750000\n1406088927\t16.810000\n1406089528\t17.000000\n1406090128\t17.000000\n1406090729\t16.880000\n1406091329\t17.250000\n1406091930\t17.440000\n1406092530\t17.690000\n1406093131\t17.940000\n1406093731\t18.120000\n1406094332\t18.440000\n1406094932\t18.690000\n1406095533\t19.060000\n1406096133\t19.690000\n1406096734\t20.000000\n1406097335\t20.500000\n1406097935\t21.120000\n1406098536\t21.690000\n1406099136\t22.060000\n1406099737\t22.440000\n1406100337\t22.750000\n1406100938\t23.060000\n1406101538\t23.250000\n1406102139\t23.500000\n1406102739\t23.690000\n1406103340\t23.940000\n1406103940\t24.120000\n1406104556\t24.500000\n1406105156\t24.810000\n1406105757\t24.880000\n1406106357\t25.250000\n1406106958\t25.380000\n1406107558\t25.620000\n1406108159\t25.750000\n1406108759\t25.940000\n1406109360\t25.940000\n1406109960\t26.120000\n1406110561\t26.190000\n1406111161\t26.190000\n1406111762\t26.190000\n1406112363\t26.440000\n1406112963\t26.440000\n1406113564\t26.620000\n1406114164\t26.690000\n1406114765\t26.690000\n1406115365\t26.940000\n1406115966\t27.060000\n1406116566\t27.060000\n1406117167\t27.190000\n1406117767\t27.250000\n1406118368\t27.310000\n1406118968\t27.560000\n1406119569\t27.620000\n1406120169\t27.620000\n1406120770\t27.750000\n1406121371\t27.750000\n1406121986\t27.940000\n1406122587\t27.940000\n1406123187\t28.000000\n1406123788\t28.000000\n1406124388\t28.000000\n1406124989\t28.060000\n1406125589\t28.000000\n1406126190\t28.120000\n1406126790\t28.120000\n1406127391\t28.380000\n1406127991\t28.310000\n1406128592\t28.060000\n1406129192\t28.310000\n1406129793\t28.380000\n1406130393\t28.310000\n1406130994\t28.560000\n1406131595\t28.500000\n1406132195\t28.940000\n1406132796\t31.380000\n1406133396\t33.940000\n1406133997\t34.120000\n1406134597\t33.380000\n1406135198\t32.380000\n1406135798\t31.560000\n1406136399\t30.810000\n1406136999\t30.310000\n1406137600\t29.940000\n1406138200\t29.880000\n1406138801\t29.440000\n1406139401\t28.000000\n1406140017\t26.940000\n1406140617\t26.250000\n1406141218\t25.810000\n1406141818\t25.310000\n1406142419\t24.940000\n1406143020\t24.500000\n1406143620\t24.000000\n1406144221\t23.560000\n1406144821\t23.310000\n1406145422\t23.190000\n1406146022\t22.810000\n1406146623\t22.500000\n1406147223\t22.120000\n1406147824\t21.810000\n1406148424\t21.690000\n1406149025\t21.560000\n1406149625\t21.250000\n1406150226\t21.190000\n1406150826\t20.880000\n1406151427\t20.750000\n1406152028\t20.560000\n1406152628\t20.380000\n1406153229\t20.310000\n1406153829\t20.060000\n1406154430\t19.940000\n1406155030\t19.810000\n1406155631\t19.500000\n1406156231\t19.500000\n1406156832\t18.310000\n1406157432\t19.000000\n1406158048\t18.880000\n1406158648\t19.000000\n1406159249\t18.690000\n1406159849\t18.500000\n1406160450\t18.560000\n1406161050\t18.380000\n1406161651\t18.310000\n1406162251\t18.250000\n1406162852\t18.120000\n1406163452\t17.940000\n1406164053\t17.940000\n1406164653\t17.880000\n1406165254\t17.310000\n1406165854\t17.190000\n1406166455\t17.250000\n1406167056\t17.440000\n1406167656\t17.250000\n1406168256\t17.060000\n1406168857\t17.120000\n1406169457\t16.940000\n1406170058\t16.810000\n1406170659\t17.000000\n1406171259\t16.940000\n1406171860\t16.940000\n1406172460\t16.560000\n1406173061\t16.810000\n1406173676\t17.000000\n1406174277\t17.000000\n1406174877\t17.190000\n1406175478\t17.250000\n1406176078\t17.310000\n1406176679\t17.560000\n1406177279\t17.690000\n1406177880\t17.810000\n1406178480\t18.060000\n1406179081\t18.120000\n1406179681\t18.380000\n1406180282\t18.620000\n1406180882\t18.880000\n1406181483\t19.190000\n1406182083\t19.690000\n1406182684\t20.190000\n1406183284\t20.750000\n1406183885\t21.380000\n1406184486\t21.880000\n1406185086\t22.250000\n1406185687\t22.620000\n1406186287\t23.060000\n1406186888\t23.500000\n1406187488\t23.750000\n1406188089\t24.060000\n1406188689\t24.440000\n1406189290\t24.750000\n1406189890\t25.060000\n1406190491\t25.310000\n1406191106\t25.440000\n1406191707\t25.620000\n1406192307\t25.810000\n1406192908\t26.120000\n1406193508\t26.380000\n1406194109\t26.560000\n1406194709\t27.060000\n1406195310\t27.120000\n1406195911\t27.250000\n1406196511\t27.560000\n1406197112\t27.690000\n1406197712\t28.060000\n1406198313\t28.190000\n1406198913\t28.380000\n1406199514\t28.440000\n1406200114\t28.500000\n1406200715\t28.620000\n1406201315\t28.810000\n1406201916\t28.940000\n1406202516\t28.940000\n1406203117\t29.120000\n1406203717\t29.380000\n1406204318\t29.500000\n1406204919\t29.560000\n1406205519\t29.690000\n1406206120\t29.880000\n1406206720\t30.000000\n1406207321\t29.940000\n1406207921\t30.060000\n1406208537\t30.190000\n1406209137\t30.190000\n1406209738\t30.120000\n1406210338\t30.190000\n1406210939\t30.190000\n1406211539\t30.250000\n1406212140\t30.310000\n1406212740\t30.380000\n1406213341\t30.310000\n1406213942\t30.380000\n1406214542\t30.500000\n1406215143\t30.560000\n1406215743\t30.750000\n1406216344\t30.310000\n1406216944\t29.620000\n1406217545\t29.500000\n1406218145\t29.940000\n1406218746\t29.940000\n1406219346\t32.750000\n1406219947\t32.250000\n1406220547\t33.880000\n1406221148\t33.310000\n1406221749\t32.620000\n1406222349\t31.750000\n1406222950\t31.190000\n1406223550\t30.810000\n1406224151\t30.440000\n1406224751\t30.190000\n1406225352\t29.620000\n1406225967\t28.500000\n1406226568\t27.560000\n1406227168\t27.000000\n1406227769\t26.500000\n1406228369\t26.060000\n1406228970\t25.690000\n1406229571\t25.060000\n1406230171\t24.620000\n1406230772\t24.310000\n1406231372\t23.880000\n1406231973\t23.620000\n1406232573\t23.560000\n1406233174\t23.620000\n1406233774\t23.440000\n1406234375\t23.310000\n1406234975\t23.190000\n1406235576\t22.940000\n1406236176\t22.620000\n1406236777\t22.560000\n1406237377\t22.440000\n1406237978\t22.310000\n1406238578\t22.190000\n1406239179\t22.120000\n1406239780\t21.880000\n1406240380\t21.690000\n1406240981\t21.690000\n1406241581\t21.500000\n1406242182\t21.380000\n1406242782\t20.620000\n1406243383\t20.440000\n1406243998\t20.060000\n1406244599\t20.120000\n1406245199\t20.060000\n1406245800\t19.750000\n1406246400\t19.880000\n1406247001\t19.750000\n1406247601\t19.810000\n1406248202\t19.690000\n1406248802\t19.620000\n1406249403\t19.190000\n1406250004\t19.060000\n1406250604\t18.880000\n1406251205\t18.940000\n1406251805\t18.810000\n1406252406\t18.750000\n1406253006\t18.620000\n1406253607\t18.440000\n1406254207\t18.250000\n1406254808\t18.000000\n1406255408\t18.120000\n1406256009\t17.750000\n1406256609\t17.940000\n1406257210\t17.810000\n1406257810\t17.690000\n1406258411\t17.620000\n1406259011\t17.500000\n1406259612\t17.560000\n1406260213\t17.620000\n1406260813\t17.810000\n1406261429\t17.750000\n1406262029\t17.810000\n1406262630\t17.690000\n1406263230\t17.940000\n1406263831\t18.190000\n1406264431\t18.440000\n1406265032\t18.750000\n1406265632\t18.880000\n1406266233\t19.060000\n1406266833\t19.380000\n1406267434\t19.560000\n1406268034\t19.940000\n1406268635\t20.190000\n1406269236\t20.560000\n1406269836\t21.060000\n1406270437\t21.560000\n1406271037\t22.060000\n1406271638\t22.500000\n1406272238\t22.940000\n1406272839\t23.310000\n1406273439\t23.750000\n1406274040\t24.120000\n1406274640\t24.310000\n1406275241\t24.750000\n1406275856\t25.190000\n1406276457\t25.500000\n1406277057\t25.750000\n1406277658\t25.880000\n1406278258\t26.250000\n1406278859\t26.560000\n1406279459\t26.620000\n1406280060\t26.940000\n1406280660\t27.190000\n1406281261\t27.310000\n1406281861\t27.380000\n1406282462\t27.560000\n1406283062\t27.810000\n1406283663\t27.880000\n1406284264\t27.940000\n1406284864\t28.000000\n1406285465\t28.190000\n1406286065\t28.250000\n1406286666\t28.380000\n1406287266\t28.560000\n1406287867\t28.810000\n1406288467\t28.940000\n1406289068\t29.000000\n1406289669\t29.120000\n1406290269\t29.250000\n1406290870\t29.380000\n1406291470\t29.500000\n1406292071\t29.750000\n1406292671\t30.000000\n1406293272\t30.060000\n1406293887\t29.880000\n1406294488\t30.190000\n1406295088\t30.250000\n1406295689\t30.310000\n1406296289\t30.310000\n1406296890\t30.380000\n1406297490\t30.440000\n1406298091\t30.500000\n1406298691\t30.060000\n1406299292\t30.560000\n1406299892\t30.810000\n1406300493\t30.690000\n1406301093\t30.880000\n1406301694\t30.750000\n1406302295\t30.560000\n1406302895\t30.880000\n1406303496\t31.060000\n1406304096\t29.810000\n1406304697\t29.440000\n1406305297\t30.880000\n1406305898\t33.440000\n1406306498\t34.250000\n1406307099\t33.620000\n1406307699\t30.500000\n1406308300\t29.560000\n1406308900\t30.440000\n1406309501\t30.190000\n1406310101\t29.690000\n1406310702\t29.750000\n1406311302\t29.560000\n1406311918\t28.880000\n1406312519\t27.940000\n1406313119\t27.250000\n1406313720\t26.810000\n1406314320\t26.440000\n1406314921\t26.120000\n1406315521\t25.810000\n1406316122\t25.620000\n1406316722\t25.380000\n1406317323\t25.120000\n1406317923\t24.750000\n1406318524\t24.310000\n1406319124\t23.880000\n1406319725\t23.690000\n1406320325\t23.560000\n1406320926\t23.380000\n1406321526\t22.810000\n1406322127\t22.500000\n1406322727\t22.310000\n1406323328\t22.440000\n1406323928\t22.060000\n1406324529\t21.810000\n1406325130\t21.500000\n1406325730\t21.120000\n1406326330\t21.000000\n1406326931\t20.880000\n1406327531\t20.620000\n1406328132\t20.810000\n1406328732\t20.690000\n1406329348\t20.380000\n1406329949\t19.880000\n1406330549\t19.750000\n1406331150\t19.880000\n1406331750\t19.750000\n1406332351\t19.560000\n1406332951\t19.560000\n1406333552\t19.560000\n1406334152\t19.500000\n1406334753\t19.560000\n1406335353\t19.560000\n1406335954\t19.250000\n1406336554\t19.000000\n1406337155\t18.750000\n1406337755\t18.750000\n1406338356\t18.620000\n1406338956\t18.440000\n1406339557\t18.060000\n1406340157\t18.250000\n1406340758\t18.250000\n1406341358\t17.880000\n1406341959\t17.690000\n1406342559\t17.500000\n1406343160\t17.440000\n1406343761\t17.380000\n1406344361\t17.500000\n1406344962\t17.500000\n1406345562\t17.620000\n1406346162\t17.750000\n1406346763\t17.810000\n1406347364\t17.810000\n1406347964\t17.810000\n1406348565\t18.000000\n1406349165\t18.060000\n1406349781\t18.250000\n1406350381\t18.380000\n1406350982\t18.440000\n1406351582\t18.690000\n1406352183\t18.880000\n1406352783\t19.060000\n1406353384\t19.440000\n1406353984\t19.690000\n1406354585\t20.000000\n1406355186\t20.310000\n1406355786\t20.750000\n1406356387\t21.310000\n1406356987\t21.810000\n1406357588\t22.310000\n1406358188\t22.810000\n1406358789\t23.250000\n1406359389\t23.690000\n1406359990\t24.120000\n1406360590\t24.500000\n1406361191\t24.810000\n1406361791\t25.060000\n1406362392\t25.380000\n1406362992\t25.560000\n1406363593\t25.750000\n1406364193\t25.940000\n1406364794\t26.250000\n1406365394\t26.500000\n1406365995\t26.690000\n1406366595\t26.940000\n1406367196\t27.190000\n1406367796\t27.310000\n1406368397\t27.500000\n1406368997\t27.810000\n1406369613\t27.880000\n1406370214\t28.120000\n1406370814\t28.120000\n1406371415\t28.310000\n1406372015\t28.380000\n1406372616\t28.620000\n1406373216\t28.560000\n1406373817\t28.940000\n1406374417\t29.120000\n1406375018\t28.810000\n1406375618\t28.750000\n1406376219\t29.190000\n1406376819\t29.380000\n1406377420\t29.500000\n1406378020\t29.750000\n1406378621\t29.750000\n1406379221\t29.940000\n1406379822\t30.060000\n1406380422\t30.310000\n1406381023\t30.310000\n1406381623\t30.120000\n1406382224\t30.190000\n1406382824\t30.000000\n1406383425\t30.060000\n1406384025\t29.880000\n1406384626\t29.810000\n1406385226\t29.880000\n1406385827\t29.880000\n1406386427\t29.810000\n1406387028\t29.310000\n1406387628\t29.500000\n1406388244\t29.620000\n1406388844\t29.120000\n1406389445\t29.190000\n1406390045\t29.380000\n1406390646\t29.250000\n1406391247\t28.880000\n1406391847\t28.810000\n1406392448\t31.120000\n1406393048\t33.120000\n1406393649\t33.120000\n1406394249\t30.310000\n1406394850\t30.440000\n1406395450\t28.750000\n1406396051\t27.560000\n1406396651\t26.940000\n1406397252\t26.440000\n1406397852\t26.000000\n1406398453\t25.620000\n1406399053\t25.380000\n1406399654\t25.190000\n1406400254\t25.000000\n1406400855\t24.810000\n1406401455\t24.750000\n1406402056\t24.310000\n1406402656\t23.880000\n1406403257\t23.810000\n1406403857\t23.560000\n1406404458\t23.380000\n1406405058\t23.120000\n1406405659\t23.000000\n1406406274\t22.500000\n1406406875\t22.380000\n1406407475\t22.440000\n1406408076\t22.060000\n1406408676\t22.060000\n1406409277\t21.810000\n1406409878\t21.750000\n1406410478\t21.500000\n1406411079\t21.310000\n1406411679\t20.810000\n1406412280\t20.750000\n1406412880\t20.750000\n1406413481\t20.560000\n1406414081\t20.500000\n1406414682\t20.560000\n1406415282\t20.060000\n1406415883\t20.310000\n1406416483\t19.880000\n1406417084\t19.880000\n1406417684\t19.560000\n1406418285\t19.560000\n1406418885\t19.500000\n1406419486\t19.560000\n1406420086\t19.310000\n1406420687\t19.440000\n1406421287\t19.440000\n1406421888\t19.190000\n1406422488\t19.000000\n1406423089\t18.690000\n1406423689\t19.060000\n1406424305\t19.190000\n1406424905\t19.120000\n1406425506\t19.120000\n1406426107\t19.120000\n1406426707\t19.000000\n1406427308\t19.000000\n1406427908\t19.000000\n1406428509\t18.880000\n1406429109\t18.880000\n1406429710\t19.000000\n1406430310\t19.190000\n1406430911\t19.120000\n1406431511\t19.060000\n1406432112\t19.250000\n1406432712\t19.440000\n1406433313\t19.690000\n1406433913\t19.810000\n1406434514\t19.810000\n1406435114\t19.940000\n1406435715\t20.120000\n1406436315\t20.000000\n1406436916\t20.060000\n1406437517\t20.190000\n1406438117\t20.690000\n1406438718\t21.060000\n1406439318\t20.940000\n1406439919\t20.940000\n1406440519\t20.810000\n1406441120\t20.750000\n1406441735\t20.810000\n1406442336\t20.940000\n1406442936\t20.940000\n1406443537\t21.000000\n1406444137\t21.000000\n1406444738\t21.190000\n1406445338\t22.000000\n1406445939\t22.440000\n1406446539\t22.690000\n1406447140\t22.940000\n1406447740\t23.440000\n1406448341\t23.750000\n1406448942\t24.000000\n1406449542\t24.250000\n1406450143\t24.500000\n1406450743\t24.690000\n1406451344\t24.880000\n1406451944\t25.190000\n1406452545\t25.380000\n1406453145\t25.500000\n1406453746\t25.250000\n1406454346\t25.380000\n1406454947\t25.810000\n1406455547\t26.000000\n1406456148\t26.440000\n1406456748\t26.500000\n1406457349\t26.620000\n1406457964\t26.880000\n1406458565\t27.000000\n1406459165\t27.250000\n1406459766\t27.500000\n1406460367\t27.440000\n1406460967\t28.120000\n1406461568\t28.440000\n1406462168\t28.120000\n1406462769\t28.440000\n1406463369\t28.190000\n1406463970\t28.380000\n1406464570\t28.120000\n1406465171\t28.560000\n1406465771\t28.250000\n1406466372\t28.940000\n1406466972\t29.120000\n1406467573\t29.310000\n1406468173\t28.690000\n1406468774\t29.310000\n1406469374\t28.310000\n1406469975\t28.690000\n1406470575\t28.440000\n1406471176\t27.940000\n1406471776\t28.120000\n1406472377\t27.690000\n1406472977\t27.000000\n1406473578\t26.690000\n1406474179\t26.750000\n1406474779\t26.440000\n1406475380\t26.000000\n1406475995\t25.500000\n1406476596\t25.190000\n1406477196\t25.000000\n1406477797\t24.810000\n1406478397\t24.620000\n1406478998\t24.250000\n1406479598\t23.500000\n1406480199\t23.440000\n1406480799\t23.310000\n1406481400\t22.880000\n1406482000\t21.880000\n1406482601\t21.120000\n1406483201\t20.690000\n1406483802\t20.440000\n1406484402\t20.250000\n1406485003\t19.940000\n1406485604\t19.880000\n1406486204\t19.810000\n1406486805\t19.620000\n1406487405\t19.380000\n1406488006\t20.000000\n1406488606\t19.560000\n1406489207\t19.690000\n1406489807\t19.880000\n1406490408\t20.000000\n1406491008\t20.000000\n1406491609\t20.190000\n1406492209\t20.060000\n1406492810\t19.880000\n1406493425\t19.940000\n1406494026\t19.940000\n1406494626\t19.880000\n1406495227\t19.750000\n1406495827\t19.500000\n1406496428\t19.440000\n1406497029\t19.310000\n1406497629\t19.310000\n1406498230\t19.190000\n1406498830\t19.310000\n1406499431\t19.060000\n1406500031\t18.880000\n1406500632\t19.000000\n1406501232\t18.880000\n1406501833\t18.880000\n1406502433\t18.560000\n1406503034\t18.750000\n1406503634\t18.560000\n1406504235\t18.310000\n1406504835\t18.310000\n1406505436\t18.250000\n1406506036\t18.310000\n1406506637\t18.190000\n1406507238\t18.000000\n1406507838\t17.690000\n1406508439\t17.060000\n1406509054\t17.440000\n1406509655\t17.000000\n1406510255\t17.190000\n1406510856\t17.560000\n1406511456\t17.750000\n1406512057\t17.500000\n1406512657\t17.500000\n1406513258\t17.380000\n1406513858\t17.440000\n1406514459\t17.060000\n1406515059\t17.440000\n1406515660\t17.310000\n1406516260\t17.250000\n1406516861\t16.690000\n1406517461\t16.190000\n1406518062\t16.380000\n1406518662\t16.810000\n1406519263\t17.120000\n1406519863\t17.190000\n1406520464\t17.380000\n1406521065\t17.440000\n1406521665\t17.060000\n1406522266\t17.250000\n1406522866\t17.120000\n1406523467\t17.560000\n1406524067\t17.810000\n1406524668\t18.000000\n1406525268\t18.310000\n1406525869\t18.560000\n1406526484\t18.500000\n1406527085\t18.560000\n1406527685\t18.940000\n1406528286\t19.250000\n1406528886\t19.620000\n1406529487\t19.560000\n1406530087\t19.620000\n1406530688\t19.880000\n1406531288\t19.620000\n1406531889\t19.940000\n1406532489\t20.560000\n1406533090\t20.810000\n1406533690\t21.060000\n1406534291\t21.440000\n1406534891\t21.810000\n1406535492\t22.190000\n1406536093\t21.690000\n1406536693\t21.880000\n1406537294\t22.190000\n1406537894\t22.690000\n1406538495\t22.810000\n1406539095\t23.380000\n1406539696\t23.250000\n1406540296\t23.500000\n1406540897\t23.560000\n1406541497\t23.940000\n1406542098\t24.120000\n1406542698\t24.190000\n1406543299\t24.440000\n1406543899\t24.500000\n1406544515\t24.810000\n1406545115\t24.810000\n1406545716\t25.000000\n1406546316\t25.380000\n1406546917\t25.620000\n1406547517\t25.810000\n1406548118\t26.060000\n1406548718\t26.000000\n1406549319\t26.250000\n1406549920\t26.190000\n1406550520\t26.690000\n1406551121\t26.620000\n1406551721\t26.620000\n1406552322\t27.120000\n1406552922\t26.500000\n1406553523\t27.190000\n1406554123\t26.380000\n1406554724\t27.120000\n1406555324\t27.560000\n1406555925\t27.500000\n1406556525\t26.940000\n1406557126\t27.310000\n1406557726\t26.940000\n1406558327\t26.880000\n1406558928\t27.000000\n1406559528\t27.310000\n1406560129\t27.060000\n1406560744\t27.620000\n1406561345\t26.940000\n1406561945\t27.120000\n1406562546\t27.560000\n1406563146\t27.310000\n1406563747\t27.880000\n1406564347\t27.120000\n1406564948\t29.000000\n1406565548\t30.440000\n1406566149\t30.120000\n1406566749\t28.940000\n1406567350\t28.500000\n1406567950\t28.190000\n1406568551\t27.690000\n1406569151\t27.560000\n1406569752\t27.380000\n1406570352\t27.310000\n1406570953\t27.310000\n1406571553\t26.560000\n1406572154\t25.560000\n1406572754\t25.120000\n1406573355\t24.810000\n1406573955\t24.500000\n1406574556\t24.060000\n1406575156\t23.750000\n1406575757\t23.560000\n1406576357\t23.250000\n1406576958\t22.880000\n1406577558\t22.500000\n1406578174\t22.310000\n1406578774\t22.250000\n1406579375\t21.940000\n1406579975\t21.810000\n1406580576\t21.620000\n1406581176\t21.500000\n1406581777\t21.310000\n1406582377\t20.750000\n1406582978\t20.380000\n1406583579\t20.380000\n1406584179\t20.380000\n1406584780\t20.060000\n1406585380\t20.250000\n1406585981\t20.310000\n1406586581\t19.880000\n1406587182\t19.500000\n1406587782\t19.750000\n1406588383\t19.750000\n1406588983\t19.750000\n1406589584\t19.190000\n1406590184\t19.250000\n1406590785\t19.120000\n1406591385\t19.250000\n1406591986\t19.250000\n1406592586\t19.250000\n1406593187\t19.060000\n1406593787\t18.880000\n1406594403\t18.620000\n1406595003\t18.500000\n1406595604\t18.310000\n1406596204\t18.310000\n1406596805\t17.620000\n1406597405\t17.440000\n1406598006\t17.440000\n1406598606\t17.500000\n1406599207\t17.940000\n1406599807\t17.940000\n1406600408\t18.060000\n1406601008\t18.190000\n1406601609\t18.250000\n1406602209\t18.190000\n1406602810\t17.750000\n1406603410\t17.620000\n1406604011\t17.750000\n1406604611\t17.810000\n1406605212\t17.810000\n1406605812\t17.810000\n1406606413\t17.810000\n1406607014\t18.000000\n1406607614\t18.120000\n1406608215\t18.120000\n1406608815\t18.120000\n1406609416\t18.250000\n1406610016\t18.500000\n1406610617\t18.690000\n1406611232\t19.000000\n1406611833\t19.440000\n1406612433\t19.880000\n1406613034\t20.310000\n1406613634\t20.500000\n1406614235\t20.620000\n1406614835\t20.880000\n1406615436\t20.810000\n1406616036\t21.120000\n1406616637\t21.560000\n1406617237\t22.000000\n1406617838\t22.500000\n1406618438\t22.560000\n1406619039\t23.060000\n1406619639\t23.310000\n1406620240\t23.500000\n1406620840\t23.690000\n1406621441\t24.000000\n1406622041\t24.250000\n1406622642\t24.380000\n1406623243\t24.310000\n1406623843\t24.440000\n1406624444\t24.620000\n1406625044\t25.190000\n1406625645\t25.310000\n1406626245\t25.500000\n1406626846\t25.880000\n1406627446\t25.940000\n1406628062\t25.560000\n1406628662\t25.810000\n1406629263\t26.060000\n1406629863\t25.620000\n1406630464\t26.380000\n1406631064\t26.560000\n1406631665\t26.310000\n1406632266\t26.560000\n1406632866\t26.880000\n1406633467\t26.560000\n1406634067\t26.940000\n1406634668\t27.000000\n1406635268\t27.250000\n1406635869\t26.750000\n1406636469\t26.940000\n1406637070\t27.250000\n1406637670\t27.310000\n1406638271\t27.380000\n1406638871\t27.880000\n1406639472\t27.940000\n1406640072\t27.880000\n1406640673\t27.940000\n1406641273\t28.060000\n1406641874\t28.060000\n1406642474\t28.000000\n1406643075\t28.250000\n1406643676\t28.190000\n1406644276\t28.250000\n1406644877\t28.440000\n1406645477\t28.620000\n1406646078\t28.310000\n1406646693\t28.560000\n1406647294\t28.500000\n1406647894\t28.560000\n1406648495\t28.750000\n1406649095\t28.810000\n1406649696\t28.380000\n1406650296\t27.750000\n1406650897\t27.940000\n1406651497\t30.060000\n1406652098\t30.810000\n1406652698\t30.500000\n1406653299\t30.380000\n1406653900\t29.620000\n1406654500\t29.250000\n1406655101\t29.120000\n1406655701\t28.810000\n1406656302\t28.310000\n1406656902\t28.190000\n1406657503\t28.380000\n1406658103\t27.500000\n1406658704\t26.750000\n1406659304\t26.060000\n1406659905\t25.750000\n1406660505\t25.000000\n1406661106\t24.810000\n1406661706\t24.560000\n1406662307\t23.880000\n1406662907\t22.880000\n1406663508\t22.880000\n1406664109\t22.620000\n1406664724\t22.620000\n1406665325\t22.310000\n1406665925\t22.060000\n1406666526\t22.060000\n1406667126\t21.940000\n1406667727\t21.810000\n1406668327\t21.690000\n1406668928\t21.310000\n1406669528\t20.620000\n1406670129\t20.620000\n1406670729\t20.620000\n1406671330\t20.560000\n1406671930\t20.500000\n1406672531\t20.250000\n1406673132\t20.120000\n1406673732\t19.880000\n1406674333\t19.690000\n1406674933\t19.620000\n1406675534\t19.250000\n1406676134\t19.380000\n1406676735\t19.250000\n1406677335\t18.810000\n1406677936\t18.810000\n1406678536\t18.750000\n1406679137\t18.750000\n1406679738\t18.750000\n1406680353\t18.190000\n1406680954\t17.940000\n1406681554\t18.000000\n1406682155\t17.620000\n1406682755\t16.940000\n1406683356\t16.620000\n1406683956\t16.690000\n1406684557\t16.940000\n1406685157\t16.620000\n1406685758\t16.620000\n1406686358\t16.690000\n1406686959\t16.250000\n1406687559\t16.190000\n1406688160\t16.120000\n1406688760\t16.190000\n1406689361\t16.250000\n1406689962\t16.310000\n1406690562\t16.500000\n1406691163\t16.690000\n1406691763\t16.690000\n1406692364\t16.750000\n1406692964\t16.880000\n1406693565\t16.940000\n1406694165\t17.190000\n1406694766\t17.380000\n1406695366\t17.560000\n1406695967\t17.750000\n1406696567\t18.060000\n1406697168\t18.380000\n1406697783\t18.500000\n1406698384\t18.690000\n1406698984\t18.810000\n1406699584\t19.060000\n1406700185\t19.190000\n1406700785\t19.380000\n1406701386\t19.690000\n1406701986\t19.880000\n1406702587\t19.940000\n1406703188\t20.380000\n1406703788\t20.880000\n1406704389\t21.190000\n1406704989\t21.250000\n1406705590\t21.120000\n1406706190\t21.620000\n1406706791\t21.620000\n1406707391\t22.190000\n1406707992\t22.440000\n1406708592\t22.310000\n1406709193\t22.060000\n1406709793\t22.060000\n1406710394\t22.310000\n1406710994\t22.560000\n1406711595\t22.940000\n1406712210\t23.120000\n1406712811\t23.500000\n1406713411\t23.440000\n1406714012\t23.380000\n1406714612\t23.500000\n1406715213\t23.620000\n1406715813\t23.560000\n1406716414\t23.620000\n1406717015\t23.940000\n1406717615\t24.060000\n1406718216\t24.500000\n1406718816\t25.560000\n1406719417\t25.940000\n1406720017\t25.880000\n1406720618\t26.060000\n1406721218\t25.560000\n1406721819\t26.060000\n1406722419\t25.750000\n1406723020\t26.060000\n1406723620\t25.560000\n1406724221\t25.380000\n1406724821\t25.000000\n1406725422\t24.880000\n1406726022\t25.310000\n1406726623\t25.120000\n1406727223\t24.690000\n1406727824\t24.620000\n1406728439\t24.560000\n1406729040\t24.560000\n1406729640\t24.250000\n1406730241\t24.060000\n1406730841\t24.060000\n1406731442\t23.750000\n1406732042\t23.440000\n1406732643\t23.250000\n1406733243\t23.250000\n1406733844\t23.190000\n1406734444\t23.000000\n1406735045\t22.690000\n1406735645\t22.560000\n1406736246\t22.690000\n1406736847\t22.880000\n1406737447\t24.880000\n1406738048\t27.440000\n1406738648\t25.440000\n1406739249\t24.310000\n1406739849\t23.940000\n1406740450\t23.560000\n1406741050\t23.380000\n1406741651\t23.120000\n1406742251\t22.880000\n1406742852\t22.690000\n1406743452\t22.440000\n1406744053\t22.380000\n1406744653\t22.000000\n1406745254\t21.810000\n1406745854\t21.560000\n1406746455\t21.250000\n1406747056\t21.060000\n1406747656\t20.880000\n1406748257\t20.690000\n1406748872\t20.690000\n1406749473\t20.560000\n1406750073\t20.500000\n1406750674\t20.440000\n1406751274\t20.310000\n1406751875\t20.120000\n1406752475\t20.000000\n1406753076\t19.880000\n1406753676\t19.560000\n1406754277\t19.310000\n1406754877\t19.250000\n1406755478\t19.120000\n1406756079\t19.190000\n1406756679\t19.380000\n1406757280\t19.250000\n1406757880\t18.810000\n1406758481\t18.500000\n1406759081\t18.440000\n1406759682\t18.190000\n1406760282\t18.060000\n1406760883\t18.190000\n1406761483\t18.380000\n1406762084\t18.190000\n1406762684\t18.250000\n1406763285\t18.120000\n1406763885\t18.060000\n1406764486\t17.940000\n1406765086\t17.750000\n1406765687\t17.190000\n1406766287\t17.000000\n1406766888\t17.250000\n1406767488\t17.250000\n1406768089\t17.310000\n1406768689\t17.250000\n1406769305\t17.190000\n1406769905\t17.000000\n1406770506\t17.000000\n1406771106\t17.000000\n1406771707\t16.940000\n1406772307\t16.940000\n1406772908\t16.880000\n1406773508\t16.810000\n1406774109\t16.560000\n1406774710\t16.250000\n1406775310\t16.060000\n1406775910\t16.250000\n1406776511\t16.310000\n1406777112\t16.000000\n1406777712\t15.940000\n1406778313\t15.880000\n1406778913\t15.940000\n1406779514\t16.060000\n1406780114\t15.940000\n1406780715\t16.000000\n1406781315\t16.120000\n1406781916\t16.380000\n1406782516\t16.750000\n1406783117\t17.120000\n1406783717\t17.380000\n1406784318\t17.560000\n1406784918\t17.810000\n1406785519\t18.060000\n1406786119\t18.310000\n1406786720\t18.620000\n1406787321\t18.940000\n1406787936\t19.190000\n1406788537\t19.380000\n1406789137\t19.810000\n1406789738\t20.000000\n1406790338\t19.560000\n1406790939\t19.560000\n1406791539\t19.880000\n1406792140\t20.750000\n1406792740\t20.250000\n1406793341\t20.620000\n1406793941\t20.690000\n1406794542\t21.310000\n1406795142\t21.560000\n1406795743\t20.810000\n1406796343\t21.380000\n1406796944\t21.560000\n1406797544\t22.060000\n1406798145\t22.250000\n1406798745\t22.560000\n1406799346\t22.500000\n1406799946\t22.500000\n1406800547\t22.560000\n1406801148\t22.880000\n1406801748\t22.880000\n1406802349\t23.190000\n1406802949\t23.250000\n1406803550\t23.120000\n1406804150\t23.060000\n1406804751\t23.380000\n1406805351\t23.620000\n1406805952\t23.440000\n1406806567\t23.750000\n1406807168\t23.560000\n1406807768\t23.810000\n1406808369\t23.810000\n1406808970\t24.000000\n1406809570\t23.940000\n1406810171\t23.690000\n1406810771\t24.120000\n1406811372\t24.440000\n1406811972\t24.190000\n1406812573\t24.250000\n1406813173\t24.380000\n1406813774\t24.060000\n1406814374\t24.190000\n1406814975\t24.000000\n1406815575\t24.120000\n1406816176\t23.940000\n1406816776\t22.810000\n1406817377\t22.560000\n1406817977\t22.560000\n1406818578\t22.690000\n1406819178\t22.810000\n1406819779\t23.380000\n1406820379\t23.940000\n1406820980\t24.000000\n1406821580\t24.120000\n1406822181\t23.940000\n1406822782\t23.940000\n1406823382\t24.060000\n1406823983\t22.940000\n1406824598\t26.440000\n1406825199\t25.560000\n1406825799\t24.310000\n1406826400\t24.750000\n1406827000\t24.500000\n1406827601\t24.440000\n1406828201\t24.060000\n1406828802\t23.250000\n1406829402\t23.000000\n1406830003\t22.440000\n1406830603\t21.880000\n1406831204\t21.380000\n1406831804\t20.940000\n1406832405\t20.560000\n1406833005\t20.000000\n1406833606\t19.750000\n1406834206\t19.500000\n1406834807\t19.190000\n1406835407\t18.940000\n1406836008\t18.560000\n1406836608\t18.310000\n1406837209\t18.120000\n1406837809\t18.250000\n1406838410\t18.380000\n1406839010\t18.310000\n1406839611\t18.190000\n1406840211\t18.000000\n1406840812\t17.940000\n1406841428\t17.750000\n1406842028\t17.620000\n1406842629\t17.620000\n1406843229\t17.440000\n1406843830\t17.310000\n1406844430\t17.310000\n1406845030\t17.250000\n1406845631\t17.190000\n1406846232\t17.060000\n1406846832\t17.000000\n1406847433\t17.000000\n1406848033\t16.880000\n1406848634\t16.810000\n1406849234\t16.810000\n1406849835\t16.560000\n1406850435\t16.500000\n1406851036\t16.440000\n1406851636\t16.440000\n1406852237\t16.380000\n1406852837\t16.310000\n1406853438\t16.310000\n1406854038\t16.250000\n1406854639\t16.250000\n1406855240\t16.120000\n1406855840\t15.940000\n1406856441\t15.940000\n1406857041\t15.750000\n1406857642\t15.500000\n1406858242\t15.690000\n1406858843\t15.750000\n1406859458\t15.810000\n1406860059\t15.750000\n1406860659\t15.750000\n1406861260\t15.750000\n1406861860\t15.750000\n1406862461\t15.810000\n1406863061\t15.810000\n1406863662\t15.880000\n1406864262\t15.880000\n1406864863\t16.000000\n1406865463\t16.120000\n1406866064\t16.190000\n1406866664\t16.310000\n1406867265\t16.440000\n1406867866\t16.560000\n1406868466\t16.750000\n1406869067\t16.940000\n1406869667\t17.120000\n1406870268\t17.310000\n1406870868\t17.560000\n1406871469\t17.750000\n1406872069\t18.060000\n1406872670\t18.380000\n1406873270\t18.810000\n1406873871\t19.380000\n1406874471\t19.500000\n1406875072\t19.690000\n1406875672\t20.250000\n1406876273\t20.940000\n1406876888\t20.880000\n1406877489\t20.440000\n1406878090\t20.500000\n1406878690\t20.380000\n1406879291\t20.750000\n1406879891\t20.810000\n1406880492\t20.940000\n1406881092\t20.750000\n1406881693\t20.880000\n1406882293\t21.190000\n1406882894\t21.440000\n1406883494\t21.190000\n1406884095\t21.190000\n1406884695\t21.750000\n1406885296\t22.120000\n1406885896\t21.690000\n1406886497\t22.190000\n1406887097\t22.810000\n1406887698\t22.810000\n1406888298\t22.560000\n1406888899\t21.880000\n1406889499\t21.750000\n1406890100\t22.500000\n1406890700\t23.000000\n1406891301\t22.500000\n1406891902\t23.250000\n1406892502\t24.000000\n1406893103\t24.120000\n1406893703\t23.940000\n1406894304\t23.190000\n1406894904\t23.190000\n1406895520\t23.380000\n1406896120\t23.880000\n1406896721\t24.440000\n1406897321\t23.620000\n1406897922\t24.250000\n1406898522\t23.620000\n1406899123\t23.690000\n1406899723\t24.060000\n1406900324\t24.560000\n1406900924\t24.750000\n1406901525\t25.250000\n1406902125\t24.940000\n1406902726\t25.500000\n1406903326\t24.880000\n1406903927\t25.060000\n1406904528\t24.810000\n1406905128\t24.690000\n1406905729\t25.500000\n1406906329\t25.380000\n1406906930\t25.120000\n1406907530\t25.060000\n1406908131\t25.620000\n1406908731\t25.690000\n1406909332\t25.120000\n1406909932\t25.690000\n1406910533\t26.310000\n1406911133\t26.620000\n1406911734\t26.060000\n1406912334\t25.810000\n1406912935\t24.940000\n1406913551\t24.750000\n1406914151\t24.440000\n1406914752\t24.120000\n1406915352\t23.880000\n1406915953\t23.440000\n1406916553\t23.250000\n1406917154\t22.690000\n1406917754\t22.190000\n1406918355\t21.810000\n1406918955\t21.500000\n1406919556\t21.250000\n1406920156\t20.880000\n1406920757\t20.750000\n1406921357\t20.310000\n1406921958\t20.190000\n1406922558\t20.120000\n1406923159\t20.000000\n1406923759\t20.000000\n1406924360\t19.000000\n1406924960\t19.190000\n1406925561\t19.120000\n1406926162\t19.060000\n1406926762\t18.810000\n1406927363\t18.810000\n1406927963\t18.500000\n1406928564\t18.440000\n1406929164\t18.310000\n1406929765\t18.060000\n1406930365\t18.000000\n1406930966\t17.880000\n1406931581\t17.750000\n1406932182\t17.750000\n1406932782\t17.560000\n1406933383\t17.440000\n1406933983\t17.000000\n1406934584\t17.000000\n1406935184\t16.560000\n1406935785\t16.560000\n1406936386\t16.560000\n1406936986\t16.500000\n1406937587\t16.380000\n1406938187\t16.310000\n1406938788\t16.060000\n1406939388\t15.810000\n1406939989\t15.380000\n1406940589\t15.690000\n1406941190\t15.250000\n1406941790\t15.250000\n1406942391\t15.310000\n1406942991\t14.940000\n1406943592\t14.620000\n1406944192\t15.060000\n1406944793\t14.810000\n1406945393\t14.750000\n1406945994\t14.690000\n1406946594\t14.750000\n1406947195\t14.620000\n1406947796\t14.690000\n1406948396\t14.750000\n1406948997\t14.560000\n1406949612\t14.500000\n1406950213\t14.440000\n1406950813\t14.310000\n1406951414\t14.560000\n1406952014\t14.620000\n1406952615\t14.620000\n1406953215\t14.620000\n1406953816\t14.940000\n1406954416\t15.190000\n1406955017\t15.380000\n1406955617\t15.560000\n1406956218\t15.810000\n1406956819\t16.120000\n1406957419\t16.380000\n1406958020\t16.690000\n1406958620\t16.940000\n1406959221\t17.190000\n1406959821\t17.560000\n1406960422\t18.000000\n1406961022\t18.500000\n1406961623\t19.060000\n1406962223\t19.560000\n1406962824\t20.190000\n1406963424\t20.750000\n1406964025\t21.190000\n1406964625\t21.620000\n1406965226\t22.060000\n1406965827\t22.620000\n1406966427\t22.940000\n1406967028\t23.310000\n1406967628\t23.560000\n1406968244\t23.940000\n1406968844\t24.190000\n1406969445\t24.440000\n1406970045\t24.190000\n1406970646\t24.750000\n1406971246\t25.250000\n1406971847\t25.190000\n1406972447\t25.440000\n1406973048\t25.000000\n1406973648\t25.500000\n1406974249\t25.500000\n1406974849\t24.940000\n1406975450\t25.440000\n1406976050\t25.810000\n1406976651\t25.940000\n1406977251\t26.190000\n1406977852\t26.440000\n1406978452\t26.000000\n1406979053\t25.940000\n1406979654\t26.750000\n1406980254\t26.500000\n1406980855\t26.120000\n1406981455\t26.000000\n1406982056\t25.750000\n1406982656\t25.880000\n1406983257\t26.120000\n1406983857\t26.440000\n1406984458\t26.750000\n1406985058\t26.810000\n1406985674\t26.880000\n1406986274\t26.940000\n1406986875\t26.620000\n1406987475\t26.310000\n1406988076\t26.190000\n1406988677\t26.000000\n1406989277\t26.060000\n1406989878\t26.060000\n1406990478\t26.190000\n1406991079\t26.500000\n1406991679\t26.560000\n1406992280\t26.190000\n1406992880\t26.000000\n1406993481\t26.250000\n1406994081\t25.880000\n1406994682\t26.310000\n1406995282\t26.060000\n1406995883\t26.380000\n1406996483\t27.060000\n1406997084\t29.380000\n1406997684\t30.190000\n1406998285\t29.940000\n1406998885\t29.310000\n1406999486\t28.500000\n1407000086\t27.560000\n1407000687\t26.880000\n1407001287\t26.440000\n1407001888\t25.810000\n1407002488\t25.440000\n1407003089\t25.060000\n1407003705\t24.560000\n1407004305\t24.000000\n1407004906\t23.750000\n1407005506\t23.250000\n1407006107\t22.880000\n1407006707\t22.500000\n1407007308\t22.190000\n1407007908\t22.000000\n1407008509\t21.810000\n1407009109\t21.560000\n1407009710\t21.250000\n1407010310\t21.060000\n1407010911\t20.810000\n1407011511\t20.690000\n1407012112\t20.560000\n1407012712\t20.500000\n1407013313\t20.440000\n1407013913\t20.380000\n1407014514\t20.380000\n1407015114\t20.440000\n1407015715\t20.440000\n1407016316\t20.380000\n1407016916\t20.380000\n1407017517\t20.310000\n1407018117\t20.250000\n1407018718\t20.120000\n1407019318\t20.120000\n1407019919\t20.190000\n1407020519\t20.190000\n1407021135\t20.190000\n1407021735\t20.190000\n1407022336\t20.190000\n1407022936\t20.190000\n1407023537\t20.310000\n1407024137\t20.380000\n1407024738\t20.310000\n1407025338\t20.380000\n1407025939\t20.380000\n1407026539\t20.310000\n1407027140\t20.250000\n1407027740\t20.250000\n1407028341\t20.120000\n1407028941\t20.000000\n1407029542\t19.940000\n1407030142\t19.880000\n1407030743\t19.810000\n1407031344\t19.750000\n1407031944\t19.810000\n1407032545\t19.880000\n1407033145\t19.810000\n1407033746\t19.750000\n1407034346\t19.750000\n1407034947\t19.690000\n1407035547\t19.560000\n1407036148\t19.560000\n1407036748\t19.620000\n1407037349\t19.500000\n1407037949\t19.500000\n1407038550\t19.560000\n1407039165\t19.620000\n1407039766\t19.690000\n1407040366\t19.750000\n1407040967\t19.810000\n1407041567\t19.810000\n1407042168\t19.750000\n1407042768\t19.750000\n1407043369\t19.690000\n1407043969\t20.060000\n1407044570\t20.380000\n1407045170\t20.620000\n1407045771\t20.810000\n1407046372\t20.750000\n1407046972\t20.750000\n1407047573\t20.940000\n1407048173\t21.440000\n1407048774\t21.440000\n1407049374\t22.190000\n1407049975\t22.120000\n1407050575\t22.500000\n1407051176\t22.810000\n1407051776\t23.120000\n1407052377\t23.500000\n1407052977\t23.940000\n1407053578\t23.620000\n1407054178\t23.620000\n1407054779\t23.500000\n1407055379\t23.250000\n1407055980\t23.380000\n1407056595\t23.440000\n1407057196\t23.690000\n1407057796\t23.880000\n1407058397\t24.120000\n1407058997\t24.250000\n1407059598\t24.750000\n1407060198\t25.190000\n1407060799\t25.690000\n1407061399\t26.000000\n1407062000\t26.250000\n1407062600\t26.560000\n1407063201\t27.000000\n1407063801\t27.310000\n1407064402\t27.060000\n1407065003\t27.380000\n1407065603\t27.440000\n1407066203\t27.440000\n1407066804\t27.810000\n1407067404\t27.440000\n1407068005\t28.120000\n1407068605\t28.310000\n1407069206\t28.500000\n1407069806\t28.690000\n1407070407\t28.880000\n1407071008\t29.190000\n1407071608\t29.310000\n1407072209\t29.620000\n1407072809\t29.750000\n1407073425\t29.880000\n1407074025\t30.000000\n1407074626\t30.000000\n1407075226\t30.000000\n1407075827\t30.060000\n1407076427\t30.190000\n1407077028\t30.190000\n1407077628\t30.250000\n1407078229\t30.380000\n1407078829\t30.440000\n1407079430\t30.560000\n1407080031\t29.060000\n1407080631\t28.380000\n1407081232\t28.560000\n1407081832\t28.310000\n1407082433\t28.120000\n1407083033\t28.000000\n1407083634\t28.060000\n1407084234\t29.440000\n1407084835\t30.750000\n1407085435\t30.750000\n1407086036\t30.250000\n1407086636\t29.690000\n1407087237\t29.250000\n1407087837\t28.880000\n1407088438\t28.500000\n1407089038\t28.000000\n1407089639\t27.000000\n1407090240\t26.440000\n1407090840\t26.060000\n1407091456\t25.690000\n1407092056\t25.440000\n1407092657\t25.190000\n1407093257\t24.940000\n1407093858\t24.690000\n1407094458\t24.500000\n1407095059\t24.310000\n1407095659\t24.060000\n1407096260\t23.880000\n1407096860\t23.620000\n1407097461\t23.500000\n1407098061\t23.380000\n1407098662\t23.250000\n1407099263\t23.060000\n1407099863\t22.880000\n1407100464\t22.810000\n1407101064\t22.690000\n1407101665\t22.560000\n1407102265\t22.500000\n1407102866\t22.440000\n1407103466\t22.310000\n1407104067\t22.250000\n1407104667\t22.000000\n1407105268\t21.690000\n1407105868\t21.380000\n1407106469\t21.120000\n1407107069\t21.060000\n1407107670\t20.880000\n1407108285\t20.880000\n1407108886\t20.880000\n1407109486\t20.880000\n1407110087\t20.880000\n1407110687\t20.810000\n1407111288\t20.810000\n1407111889\t20.750000\n1407112489\t20.750000\n1407113090\t20.750000\n1407113690\t20.810000\n1407114291\t20.690000\n1407114891\t20.620000\n1407115492\t20.500000\n1407116092\t20.440000\n1407116693\t20.560000\n1407117293\t20.380000\n1407117894\t20.380000\n1407118494\t20.250000\n1407119095\t20.190000\n1407119695\t20.250000\n1407120296\t20.250000\n1407120896\t20.190000\n1407121497\t20.310000\n1407122097\t20.310000\n1407122698\t20.310000\n1407123298\t20.250000\n1407123899\t20.380000\n1407124499\t20.560000\n1407125115\t20.560000\n1407125715\t20.620000\n1407126316\t20.750000\n1407126916\t20.750000\n1407127517\t20.810000\n1407128117\t21.120000\n1407128718\t21.250000\n1407129319\t21.440000\n1407129919\t21.620000\n1407130520\t21.810000\n1407131120\t22.000000\n1407131721\t22.250000\n1407132321\t22.500000\n1407132922\t22.810000\n1407133522\t23.120000\n1407134123\t23.500000\n1407134723\t23.880000\n1407135324\t24.250000\n1407135924\t24.690000\n1407136525\t25.000000\n1407137125\t25.440000\n1407137726\t25.880000\n1407138326\t26.310000\n1407138927\t26.620000\n1407139528\t27.060000\n1407140128\t27.380000\n1407140729\t27.750000\n1407141329\t27.940000\n1407141930\t28.310000\n1407142530\t28.620000\n1407143131\t28.880000\n1407143746\t29.120000\n1407144347\t29.440000\n1407144947\t29.560000\n1407145548\t29.620000\n1407146149\t29.810000\n1407146749\t29.940000\n1407147350\t30.120000\n1407147950\t30.250000\n1407148551\t30.440000\n1407149151\t30.690000\n1407149752\t30.880000\n1407150352\t30.750000\n1407150953\t31.190000\n1407151553\t31.380000\n1407152154\t31.690000\n1407152754\t31.810000\n1407153355\t31.750000\n1407153955\t31.880000\n1407154556\t31.810000\n1407155157\t31.750000\n1407155757\t31.620000\n1407156358\t30.940000\n1407156958\t29.940000\n1407157559\t29.560000\n1407158159\t29.250000\n1407158760\t29.000000\n1407159360\t29.060000\n1407159961\t29.120000\n1407160561\t29.190000\n1407161162\t29.190000\n1407161762\t29.000000\n1407162363\t28.940000\n1407162964\t29.120000\n1407163564\t29.620000\n1408688732\t12.880000\n1408689333\t13.060000\n1408689933\t13.250000\n1408690534\t13.440000\n1408691134\t13.750000\n1408691735\t13.940000\n1408692335\t14.250000\n1408692936\t14.310000\n1408693536\t14.750000\n1408694137\t15.250000\n1408694738\t15.310000\n1408695338\t15.620000\n1408695954\t15.190000\n1408696554\t15.440000\n1408697155\t15.310000\n1408697755\t15.060000\n1408698356\t15.750000\n1408698956\t15.750000\n1408699557\t16.120000\n1408700157\t16.620000\n1408700758\t16.440000\n1408701358\t16.250000\n1408701959\t17.440000\n1408702560\t16.560000\n1408703160\t17.190000\n1408703761\t17.000000\n1408704361\t16.190000\n1408704962\t16.310000\n1408705562\t16.560000\n1408706163\t16.500000\n1408706763\t17.620000\n1408707364\t17.190000\n1408707964\t16.880000\n1408708565\t16.380000\n1408709165\t16.620000\n1408709766\t16.810000\n1408710367\t17.380000\n1408710967\t17.620000\n1408711568\t17.810000\n1408712168\t17.440000\n1408712769\t16.500000\n1408713369\t16.190000\n1408713970\t16.810000\n1408714570\t17.440000\n1408715171\t17.560000\n1408715771\t16.880000\n1408716372\t17.060000\n1408716973\t17.810000\n1408717573\t18.250000\n1408718189\t17.310000\n1408718789\t17.500000\n1408719390\t17.500000\n1408719990\t17.120000\n1408720591\t17.750000\n1408721191\t17.560000\n1408721792\t16.880000\n1408722392\t16.690000\n1408722993\t16.500000\n1408723594\t16.310000\n1408724194\t16.380000\n1408724795\t16.500000\n1408725395\t16.500000\n1408725996\t16.250000\n1408726596\t16.120000\n1408727197\t16.000000\n1408727797\t15.810000\n1408728398\t15.750000\n1408728998\t15.620000\n1408729599\t15.440000\n1408730199\t15.310000\n1408730800\t15.120000\n1408731401\t15.000000\n1408732001\t14.940000\n1408732602\t14.880000\n1408733202\t14.810000\n1408733803\t14.690000\n1408734403\t14.560000\n1408735004\t14.500000\n1408735604\t14.440000\n1408736205\t14.310000\n1408736806\t14.190000\n1408737406\t14.000000\n1408738007\t14.000000\n1408738607\t14.000000\n1408739208\t13.880000\n1408739808\t13.750000\n1408740409\t13.810000\n1408741024\t13.810000\n1408741625\t13.690000\n1408742225\t13.560000\n1408742826\t13.560000\n1408743426\t13.500000\n1408744027\t13.380000\n1408744627\t13.440000\n1408745228\t13.310000\n1408745828\t13.440000\n1408746429\t13.310000\n1408747030\t13.310000\n1408747630\t13.310000\n1408748231\t13.250000\n1408748831\t13.190000\n1408749432\t13.190000\n1408750032\t13.060000\n1408750633\t13.060000\n1408751233\t13.060000\n1408751834\t12.880000\n1408752435\t12.880000\n1408753035\t12.880000\n1408753636\t12.810000\n1408754236\t12.810000\n1408754837\t12.620000\n1408755437\t12.500000\n1408756038\t12.560000\n1408756638\t12.500000\n1408757239\t12.310000\n1408757839\t12.190000\n1408758440\t12.120000\n1408759041\t12.250000\n1408759641\t12.250000\n1408760242\t12.060000\n1408760842\t12.060000\n1408761458\t12.060000\n1408762058\t12.000000\n1408762659\t12.060000\n1408763259\t12.060000\n1408763860\t12.000000\n1408764460\t12.060000\n1408765061\t12.120000\n1408765661\t12.120000\n1408766262\t12.060000\n1408766863\t12.190000\n1408767463\t12.190000\n1408768064\t12.250000\n1408768664\t12.250000\n1408769265\t12.190000\n1408769865\t12.310000\n1408770466\t12.380000\n1408771066\t12.500000\n1408771667\t12.560000\n1408772267\t12.620000\n1408772868\t12.810000\n1408773469\t12.880000\n1408774069\t13.000000\n1408774670\t13.120000\n1408775270\t13.250000\n1408775871\t13.380000\n1408776471\t13.380000\n1408777072\t13.440000\n1408777672\t13.560000\n1408778273\t13.810000\n1408778873\t14.000000\n1408779474\t14.060000\n1408780089\t14.060000\n1408780690\t14.250000\n1408781291\t14.380000\n1408781891\t14.500000\n1408782492\t14.620000\n1408783092\t14.880000\n1408783693\t14.940000\n1408784293\t15.500000\n1408784894\t15.380000\n1408785494\t15.310000\n1408786095\t15.250000\n1408786695\t15.120000\n1408787296\t14.940000\n1408787896\t14.940000\n1408788497\t15.000000\n1408789098\t15.250000\n1408789698\t15.190000\n1408790299\t15.000000\n1408790899\t14.750000\n1408791500\t14.500000\n1408792100\t14.380000\n1408792701\t14.440000\n1408793301\t14.690000\n1408793902\t14.940000\n1408794502\t15.120000\n1408795103\t15.060000\n1408795703\t15.000000\n1408796304\t15.190000\n1408796904\t15.310000\n1408797505\t15.310000\n1408798105\t15.440000\n1408798721\t15.310000\n1408799322\t15.500000\n1408799922\t15.560000\n1408800523\t13.940000\n1408801123\t13.440000\n1408801724\t13.380000\n1408802324\t13.500000\n1408802925\t13.690000\n1408803525\t13.940000\n1408804126\t13.940000\n1408804726\t14.060000\n1408805327\t14.250000\n1408805928\t14.120000\n1408806528\t14.190000\n1408807129\t14.500000\n1408807729\t14.940000\n1408808330\t14.810000\n1408808930\t14.810000\n1408809531\t14.880000\n1408810131\t14.940000\n1408810732\t14.560000\n1408811332\t14.250000\n1408811933\t14.120000\n1408812534\t14.060000\n1408813134\t14.000000\n1408813735\t13.940000\n1408814335\t13.940000\n1408814936\t13.880000\n1408815536\t13.810000\n1408816137\t13.690000\n1408816737\t13.620000\n1408817353\t13.500000\n1408817953\t13.440000\n1408818554\t13.250000\n1408819155\t13.190000\n1408819755\t13.060000\n1408820355\t12.940000\n1408820956\t12.880000\n1408821556\t12.810000\n1408822157\t12.750000\n1408822757\t12.620000\n1408823358\t12.560000\n1408823958\t12.620000\n1408824559\t12.620000\n1408825159\t12.560000\n1408825760\t12.560000\n1408826360\t12.500000\n1408826961\t12.440000\n1408827562\t12.440000\n1408828162\t12.380000\n1408828763\t12.190000\n1408829363\t12.190000\n1408829964\t12.250000\n1408830564\t12.380000\n1408831165\t12.190000\n1408831765\t12.060000\n1408832366\t11.940000\n1408832966\t11.810000\n1408833567\t11.750000\n1408834167\t11.560000\n1408834768\t11.500000\n1408835384\t11.500000\n1408835984\t11.500000\n1408836585\t11.500000\n1408837185\t11.380000\n1408837786\t11.310000\n1408838386\t11.310000\n1408838987\t11.250000\n1408839587\t11.310000\n1408840188\t11.250000\n1408840788\t11.190000\n1408841389\t11.120000\n1408841990\t11.060000\n1408842590\t11.000000\n1408843191\t10.940000\n1408843791\t10.880000\n1408844392\t10.880000\n1408844992\t10.880000\n1408845593\t10.810000\n1408846193\t10.750000\n1408846794\t10.620000\n1408847394\t10.620000\n1408847995\t10.560000\n1408848595\t10.440000\n1408849196\t10.440000\n1408849796\t10.440000\n1408850397\t10.440000\n1408850998\t10.440000\n1408851598\t10.380000\n1408852199\t10.440000\n1408852799\t10.380000\n1408853415\t10.380000\n1408854015\t10.380000\n1408854616\t10.380000\n1408855216\t10.380000\n1408855817\t10.380000\n1408856417\t10.620000\n1408857018\t10.810000\n1408857618\t11.000000\n1408858219\t11.250000\n1408858820\t11.440000\n1408859420\t11.560000\n1408860021\t11.690000\n1408860621\t11.940000\n1408861222\t12.000000\n1408861822\t12.120000\n1408862423\t12.310000\n1408863023\t12.500000\n1408863624\t12.690000\n1408864224\t13.190000\n1408864825\t13.190000\n1408865425\t13.620000\n1408866026\t13.880000\n1408866626\t14.060000\n1408867227\t13.940000\n1408867828\t14.310000\n1408868428\t14.500000\n1408869029\t15.190000\n1408869629\t14.750000\n1408870230\t13.940000\n1408870830\t13.620000\n1408871446\t14.690000\n1408872046\t14.690000\n1408872647\t14.190000\n1408873247\t15.060000\n1408873848\t15.810000\n1408874449\t15.810000\n1408875049\t15.940000\n1408875650\t15.500000\n1408876250\t15.880000\n1408876851\t15.380000\n1408877451\t15.060000\n1408878052\t15.560000\n1408878652\t15.810000\n1408879253\t16.940000\n1408879853\t16.620000\n1408880454\t17.120000\n1408881055\t16.620000\n1408881655\t16.690000\n1408882256\t16.940000\n1408882856\t17.060000\n1408883457\t16.940000\n1408884057\t18.060000\n1408884658\t18.120000\n1408885258\t18.060000\n1408885859\t17.880000\n1408886459\t17.810000\n1408887060\t18.250000\n1408887660\t17.380000\n1408888261\t17.250000\n1408888862\t17.750000\n1408889462\t17.310000\n1408890062\t17.310000\n1408890678\t17.880000\n1408891279\t17.810000\n1408891879\t16.940000\n1408892480\t17.060000\n1408893080\t16.880000\n1408893681\t16.690000\n1408894281\t16.560000\n1408894882\t16.310000\n1408895482\t16.120000\n1408896083\t15.880000\n1408896683\t16.750000\n1408897284\t16.620000\n1408897884\t17.190000\n1408898485\t17.810000\n1408899085\t17.690000\n1408899686\t17.440000\n1408900287\t16.690000\n1408900887\t16.000000\n1408901488\t15.500000\n1408902088\t15.000000\n1408902689\t14.810000\n1408903289\t14.500000\n1408903890\t14.440000\n1408904490\t14.380000\n1408905091\t14.250000\n1408905691\t14.060000\n1408906292\t14.000000\n1408906892\t13.750000\n1408907493\t13.690000\n1408908094\t13.620000\n1408908694\t13.620000\n1408909310\t13.310000\n1408909910\t13.190000\n1408910511\t13.120000\n1408911111\t13.060000\n1408911712\t12.940000\n1408912312\t13.060000\n1408912913\t12.880000\n1408913513\t12.810000\n1408914114\t12.620000\n1408914714\t12.440000\n1408915315\t12.440000\n1408915916\t12.500000\n1408916516\t12.310000\n1408917117\t12.060000\n1408917717\t12.120000\n1408918318\t12.060000\n1408918918\t11.750000\n1408919519\t11.810000\n1408920119\t11.690000\n1408920720\t11.560000\n1408921320\t11.560000\n1408921921\t11.380000\n1408922521\t11.060000\n1408923122\t11.000000\n1408923723\t10.880000\n1408924323\t10.810000\n1408924924\t10.690000\n1408925524\t10.620000\n1408926125\t10.620000\n1408926740\t10.690000\n1408927341\t10.500000\n1408927941\t10.440000\n1408928542\t10.120000\n1408929142\t10.060000\n1408929743\t9.810000\n1408930344\t9.810000\n1408930944\t9.750000\n1408931545\t9.190000\n1408932145\t9.440000\n1408932746\t9.250000\n1408933346\t9.380000\n1408933947\t9.440000\n1408934547\t9.190000\n1408935148\t8.940000\n1408935748\t8.880000\n1408936349\t9.000000\n1408936949\t9.190000\n1408937550\t8.690000\n1408938150\t9.190000\n1408938751\t9.440000\n1408939351\t9.440000\n1408939952\t9.190000\n1408940553\t9.000000\n1408941153\t8.940000\n1408941754\t9.000000\n1408942354\t9.440000\n1408942955\t9.690000\n1408943555\t9.810000\n1408944156\t10.120000\n1408944771\t10.380000\n1408945372\t10.500000\n1408945972\t10.690000\n1408946573\t11.060000\n1408947173\t11.380000\n1408947774\t11.750000\n1408948374\t12.000000\n1408948975\t12.250000\n1408949576\t12.560000\n1408950176\t12.620000\n1408950777\t12.940000\n1408951377\t13.190000\n1408951978\t13.560000\n1408952578\t14.250000\n1408953179\t14.750000\n1408953779\t14.940000\n1408954380\t14.620000\n1408954980\t14.440000\n1408955581\t14.250000\n1408956181\t14.690000\n1408956782\t15.190000\n1408957382\t14.620000\n1408957983\t14.620000\n1408958584\t14.690000\n1408959184\t14.690000\n1408959785\t14.690000\n1408960385\t14.750000\n1408960986\t14.940000\n1408961586\t15.500000\n1408962187\t15.440000\n1408962802\t15.940000\n1408963403\t15.940000\n1408964003\t15.620000\n1408964604\t15.810000\n1408965205\t16.190000\n1408965805\t15.750000\n1408966406\t15.690000\n1408967006\t16.120000\n1408967607\t16.690000\n1408968207\t17.000000\n1408968808\t17.250000\n1408969408\t17.440000\n1408970009\t17.810000\n1408970609\t18.000000\n1408971210\t17.310000\n1408971810\t17.190000\n1408972411\t16.380000\n1408973012\t15.810000\n1408973612\t15.500000\n1408974213\t15.310000\n1408974813\t15.380000\n1408975414\t16.620000\n1408976014\t16.190000\n1408976615\t15.690000\n1408977215\t15.380000\n1408977816\t15.440000\n1408978416\t16.120000\n1408979017\t15.880000\n1408979618\t16.120000\n1408980233\t15.560000\n1408980834\t15.750000\n1408981434\t16.560000\n1408982035\t16.000000\n1408982635\t15.620000\n1408983236\t15.380000\n1408983836\t15.440000\n1408984437\t15.500000\n1408985037\t15.560000\n1408985638\t15.440000\n1408986238\t15.380000\n1408986839\t15.810000\n1408987439\t15.940000\n1408988040\t15.810000\n1408988640\t15.440000\n1408989241\t15.190000\n1408989842\t14.880000\n1408990442\t14.250000\n1408991043\t13.940000\n1408991643\t13.750000\n1408992244\t13.690000\n1408992844\t13.620000\n1408993445\t13.560000\n1408994045\t13.620000\n1408994646\t13.560000\n1408995247\t13.500000\n1408995847\t13.380000\n1408996448\t13.380000\n1408997048\t13.190000\n1408997649\t13.060000\n1408998249\t13.060000\n1408998865\t13.060000\n1408999465\t13.060000\n1409000066\t13.000000\n1409000666\t13.000000\n1409001267\t12.940000\n1409001868\t12.880000\n1409002468\t12.750000\n1409003069\t12.690000\n1409003669\t12.440000\n1409004270\t12.440000\n1409004870\t12.250000\n1409005471\t12.190000\n1409006071\t12.000000\n1409006672\t11.940000\n1409007272\t11.250000\n1409007873\t10.810000\n1409008474\t11.000000\n1409009074\t11.250000\n1409009675\t11.190000\n1409010275\t10.880000\n1409010876\t10.810000\n1409011476\t10.690000\n1409012077\t10.440000\n1409012677\t10.440000\n1409013278\t10.380000\n1409013878\t10.380000\n1409014479\t10.190000\n1409015079\t10.250000\n1409015680\t10.120000\n1409016280\t9.690000\n1409016896\t8.880000\n1409017497\t8.500000\n1409018097\t8.250000\n1409018698\t8.250000\n1409019298\t8.440000\n1409019899\t8.120000\n1409020499\t7.880000\n1409021100\t7.620000\n1409021700\t7.560000\n1409022301\t7.500000\n1409022902\t7.310000\n1409023502\t7.190000\n1409024103\t7.250000\n1409024703\t7.440000\n1409025304\t7.690000\n1409025904\t7.810000\n1409026505\t7.690000\n1409027105\t7.620000\n1409027706\t7.690000\n1409028306\t7.690000\n1409028907\t7.810000\n1409029507\t8.000000\n1409030108\t7.810000\n1409030708\t8.060000\n1409031309\t8.310000\n1409031909\t8.560000\n1409032510\t8.880000\n1409033111\t9.120000\n1409033711\t9.440000\n1409034327\t9.750000\n1409034927\t10.060000\n1409035528\t10.500000\n1409036128\t10.880000\n1409036729\t11.060000\n1409037329\t11.310000\n1409037930\t11.810000\n1409038530\t12.190000\n1409039131\t12.560000\n1409039732\t13.190000\n1409040332\t13.560000\n1409040933\t13.690000\n1409041533\t13.880000\n1409042134\t14.190000\n1409042734\t14.940000\n1409043335\t15.120000\n1409043935\t15.380000\n1409044536\t15.560000\n1409045136\t15.940000\n1409045737\t16.250000\n1409046337\t16.690000\n1409046938\t16.750000\n1409047538\t16.690000\n1409048139\t16.690000\n1409048740\t17.120000\n1409049340\t17.500000\n1409049941\t17.120000\n1409050541\t17.310000\n1409051142\t17.190000\n1409051742\t17.750000\n1409052343\t17.620000\n1409052943\t17.560000\n1409053559\t17.440000\n1409054160\t17.940000\n1409054760\t17.940000\n1409055361\t17.380000\n1409055961\t17.440000\n1409056562\t18.120000\n1409057162\t18.750000\n1409057763\t19.120000\n1409058363\t18.810000\n1409058964\t18.500000\n1409059565\t18.190000\n1409060165\t18.120000\n1409060766\t18.000000\n1409061366\t18.060000\n1409061967\t18.380000\n1409062567\t18.750000\n1409063168\t18.190000\n1409063768\t18.940000\n1409064369\t19.940000\n1409064969\t19.880000\n1409065570\t20.000000\n1409066170\t18.500000\n1409066771\t17.500000\n1409067371\t17.440000\n1409067972\t17.560000\n1409068573\t17.190000\n1409069173\t16.690000\n1409069774\t16.500000\n1409070374\t16.250000\n1409070975\t16.190000\n1409071575\t16.120000\n1409072191\t16.060000\n1409072791\t16.000000\n1409073392\t16.000000\n1409073992\t15.940000\n1409074593\t15.880000\n1409075194\t16.000000\n1409075794\t16.190000\n1409076395\t15.880000\n1409076995\t15.620000\n1409077596\t15.500000\n1409078196\t15.380000\n1409078797\t15.310000\n1409079397\t15.190000\n1409079998\t15.120000\n1409080598\t15.060000\n1409081199\t15.000000\n1409081799\t14.940000\n1409082400\t14.880000\n1409083000\t14.880000\n1409083601\t14.690000\n1409084202\t14.620000\n1409084802\t14.500000\n1409085403\t14.440000\n1409086003\t14.380000\n1409086604\t14.310000\n1409087204\t14.190000\n1409087805\t14.060000\n1409088405\t13.940000\n1409089006\t13.880000\n1409089606\t13.810000\n1409090207\t13.750000\n1409090822\t13.750000\n1409091423\t13.560000\n1409092023\t13.500000\n1409092624\t13.380000\n1409093224\t13.190000\n1409093825\t13.060000\n1409094425\t12.940000\n1409095026\t12.880000\n1409095626\t12.810000\n1409096227\t12.750000\n1409096828\t12.690000\n1409097428\t12.560000\n1409098029\t12.560000\n1409098629\t12.440000\n1409099230\t12.380000\n1409099830\t12.380000\n1409100431\t12.250000\n1409101031\t12.250000\n1409101632\t12.190000\n1409102233\t12.120000\n1409102833\t12.060000\n1409103434\t12.000000\n1409104034\t11.940000\n1409104635\t11.940000\n1409105235\t11.880000\n1409105836\t11.750000\n1409106436\t11.750000\n1409107037\t11.690000\n1409107637\t11.620000\n1409108238\t11.560000\n1409108838\t11.500000\n1409109439\t11.500000\n1409110039\t11.380000\n1409110640\t11.310000\n1409111240\t11.250000\n1409111841\t11.190000\n1409112457\t11.120000\n1409113057\t11.120000\n1409113658\t11.120000\n1409114258\t11.190000\n1409114859\t11.250000\n1409115459\t11.380000\n1409116060\t11.500000\n1409116660\t11.620000\n1409117261\t11.810000\n1409117861\t11.940000\n1409118462\t12.060000\n1409119062\t12.250000\n1409119663\t12.500000\n1409120263\t12.690000\n1409120864\t12.940000\n1409121465\t13.190000\n1409122065\t13.380000\n1409122666\t13.690000\n1409123266\t14.060000\n1409123867\t14.380000\n1409124467\t14.690000\n1409125068\t15.120000\n1409125668\t15.380000\n1409126269\t15.750000\n1409126869\t15.880000\n1409127470\t16.250000\n1409128071\t16.560000\n1409128671\t16.750000\n1409129272\t17.060000\n1409129872\t17.310000\n1409130473\t17.500000\n1409131073\t17.810000\n1409131674\t17.810000\n1409132274\t18.190000\n1409132890\t18.440000\n1409133491\t18.440000\n1409134091\t18.620000\n1409134692\t18.750000\n1409135292\t18.810000\n1409135893\t18.880000\n1409136493\t19.250000\n1409137094\t19.380000\n1409137694\t19.310000\n1409138295\t19.690000\n1409138895\t19.500000\n1409139496\t19.810000\n1409140096\t19.940000\n1409140697\t20.440000\n1409141298\t20.060000\n1409141898\t20.120000\n1409142499\t19.500000\n1409143099\t20.190000\n1409143700\t19.940000\n1409144300\t19.750000\n1409144901\t18.810000\n1409145501\t20.380000\n1409146102\t19.750000\n1409146702\t19.810000\n1409147303\t19.940000\n1409147903\t19.620000\n1409148504\t20.000000\n1409149105\t19.940000\n1409149705\t20.310000\n1409150306\t20.060000\n1409150906\t19.440000\n1409151507\t19.810000\n1409152122\t20.120000\n1409152723\t20.060000\n1409153323\t20.250000\n1409153924\t19.440000\n1409154524\t20.310000\n1409155125\t20.380000\n1409155725\t19.810000\n1409156326\t19.940000\n1409156927\t20.560000\n1409157527\t20.120000\n1409158128\t19.940000\n1409158728\t19.810000\n1409159329\t20.060000\n1409159929\t19.880000\n1409160530\t19.620000\n1409161130\t19.190000\n1409161731\t18.690000\n1409162332\t18.120000\n1409162932\t17.500000\n1409163533\t16.940000\n1409164133\t16.560000\n1409164734\t16.380000\n1409165334\t16.190000\n1409165935\t15.810000\n1409166535\t15.310000\n1409167136\t14.440000\n1409167736\t14.060000\n1409168337\t14.060000\n1409168937\t13.620000\n1409169538\t13.750000\n1409170138\t13.750000\n1409170739\t13.810000\n1409171355\t13.560000\n1409171955\t13.190000\n1409172556\t12.440000\n1409173156\t12.000000\n1409173757\t12.500000\n1409174357\t12.380000\n1409174958\t12.000000\n1409175558\t12.190000\n1409176159\t11.690000\n1409176759\t11.310000\n1409177360\t11.190000\n1409177961\t11.310000\n1409178561\t10.940000\n1409179161\t10.310000\n1409179762\t10.060000\n1409180363\t10.060000\n1409180963\t10.380000\n1409181564\t10.250000\n1409182164\t10.060000\n1409182765\t9.750000\n1409183365\t9.500000\n1409183966\t9.380000\n1409184566\t9.310000\n1409185167\t9.250000\n1409185767\t9.620000\n1409186368\t9.120000\n1409186969\t9.560000\n1409187569\t10.060000\n1409188170\t9.250000\n1409188770\t9.000000\n1409189386\t8.690000\n1409189986\t8.880000\n1409190587\t9.560000\n1409191187\t9.120000\n1409191788\t8.750000\n1409192388\t9.060000\n1409192989\t9.560000\n1409193590\t9.560000\n1409194190\t8.880000\n1409194791\t8.880000\n1409195391\t9.250000\n1409195992\t9.000000\n1409196592\t8.880000\n1409197193\t8.880000\n1409197793\t8.880000\n1409198394\t8.880000\n1409198994\t8.750000\n1409199595\t8.440000\n1409200195\t8.190000\n1409200796\t8.250000\n1409201396\t8.500000\n1409201997\t8.560000\n1409202598\t8.690000\n1409203198\t8.940000\n1409203799\t9.250000\n1409204399\t9.560000\n1409205000\t9.810000\n1409205600\t10.120000\n1409206201\t10.560000\n1409206801\t11.060000\n1409207402\t11.620000\n1409208017\t11.880000\n1409208618\t12.250000\n1409209218\t12.560000\n1409209819\t12.810000\n1409210419\t13.190000\n1409211020\t13.440000\n1409211621\t13.750000\n1409212221\t14.190000\n1409212822\t14.440000\n1409213422\t14.810000\n1409214023\t15.060000\n1409214623\t15.440000\n1409215224\t15.690000\n1409215824\t16.000000\n1409216425\t16.190000\n1409217026\t16.440000\n1409217626\t16.750000\n1409218227\t17.000000\n1409218827\t17.310000\n1409219428\t17.190000\n1409220028\t17.750000\n1409220629\t17.810000\n1409221229\t18.060000\n1409221830\t17.940000\n1409222430\t18.250000\n1409223031\t18.310000\n1409223631\t18.690000\n1409224232\t18.810000\n1409224832\t18.880000\n1409225433\t18.120000\n1409226034\t18.000000\n1409226649\t18.190000\n1409227250\t18.620000\n1409227850\t17.690000\n1409228451\t18.560000\n1409229051\t19.250000\n1409229652\t19.440000\n1409230252\t19.750000\n1409230853\t19.190000\n1409231453\t19.060000\n1409232054\t19.880000\n1409232655\t20.060000\n1409233255\t20.060000\n1409233856\t20.190000\n1409234456\t20.560000\n1409235057\t19.310000\n1409235657\t19.440000\n1409236258\t20.060000\n1409236858\t19.440000\n1409237459\t20.310000\n1409238059\t20.440000\n1409238660\t20.060000\n1409239260\t20.620000\n1409239861\t20.620000\n1409240462\t20.810000\n1409241062\t20.620000\n1409241663\t20.440000\n1409242263\t20.810000\n1409242864\t20.440000\n1409243464\t20.190000\n1409244065\t20.000000\n1409244665\t19.750000\n1409245266\t20.120000\n1409245881\t19.940000\n1409246482\t19.500000\n1409247083\t19.120000\n1409247683\t18.750000\n1409248284\t18.310000\n1409248884\t17.810000\n1409249485\t17.380000\n1409250085\t17.000000\n1409250686\t16.690000\n1409251286\t16.310000\n1409251887\t16.000000\n1409252487\t14.940000\n1409253088\t14.880000\n1409253688\t14.440000\n1409254289\t14.560000\n1409254889\t14.690000\n1409255490\t14.250000\n1409256090\t14.500000\n1409256691\t14.500000\n1409257292\t14.500000\n1409257892\t14.060000\n1409258493\t13.880000\n1409259093\t13.560000\n1409259694\t13.250000\n1409260294\t13.310000\n1409260895\t13.380000\n1409261495\t12.940000\n1409262096\t12.810000\n1409262711\t12.440000\n1409263312\t12.440000\n1409263912\t12.620000\n1409264513\t12.750000\n1409265113\t11.880000\n1409265714\t11.620000\n1409266315\t11.690000\n1409266915\t12.000000\n1409267516\t12.000000\n1409268116\t11.880000\n1409268717\t11.880000\n1409269317\t11.440000\n1409269918\t11.500000\n1409270518\t11.500000\n1409271119\t11.380000\n1409271719\t11.310000\n1409272320\t10.750000\n1409272920\t10.810000\n1409273521\t10.750000\n1409274121\t10.560000\n1409274722\t10.440000\n1409275322\t9.880000\n1409275923\t9.440000\n1409276524\t9.310000\n1409277124\t9.690000\n1409277725\t9.560000\n1409278325\t9.380000\n1409278926\t9.310000\n1409279526\t9.380000\n1409280127\t9.500000\n1409280727\t9.880000\n1409281343\t9.620000\n1409281944\t9.750000\n1409282544\t10.120000\n1409283145\t9.750000\n1409283745\t9.620000\n1409284346\t9.750000\n1409284946\t9.750000\n1409285547\t9.500000\n1409286147\t9.560000\n1409286748\t9.690000\n1409287348\t9.810000\n1409287949\t9.750000\n1409288549\t9.620000\n1409289150\t10.000000\n1409289751\t9.940000\n1409290351\t10.120000\n1409290952\t10.440000\n1409291552\t10.440000\n1409292153\t10.750000\n1409292753\t10.810000\n1409293354\t11.060000\n1409293954\t11.500000\n1409294555\t11.810000\n1409295155\t12.120000\n1409295756\t12.310000\n1409296356\t12.500000\n1409296957\t12.810000\n1409297557\t13.190000\n1409298158\t13.810000\n1409298759\t14.750000\n1409299359\t15.440000\n1409299975\t15.940000\n1409300575\t16.190000\n1409301176\t16.190000\n1409301776\t16.190000\n1409302377\t16.380000\n1409302977\t16.690000\n1409303578\t16.940000\n1409304178\t17.060000\n1409304779\t17.000000\n1409305379\t17.120000\n1409305980\t17.190000\n1409306581\t17.620000\n1409307181\t18.190000\n1409307782\t17.690000\n1409308382\t17.310000\n1409308983\t17.440000\n1409309583\t17.810000\n1409310184\t18.380000\n1409310784\t17.750000\n1409311385\t18.120000\n1409311985\t18.310000\n1409312586\t18.120000\n1409313187\t18.940000\n1409313787\t18.690000\n1409314388\t18.620000\n1409314988\t18.750000\n1409315589\t18.500000\n1409316189\t17.810000\n1409316790\t17.190000\n1409317390\t16.880000\n1409318006\t16.810000\n1409318606\t16.620000\n1409319207\t16.750000\n1409319808\t17.000000\n1409320408\t17.190000\n1409321009\t17.310000\n1409321609\t17.310000\n1409322210\t17.310000\n1409322810\t17.250000\n1409323411\t17.250000\n1409324011\t17.250000\n1409324612\t17.380000\n1409325212\t17.690000\n1409325813\t17.440000\n1409326414\t17.190000\n1409327014\t16.940000\n1409327614\t16.690000\n1409328215\t16.620000\n1409328816\t16.620000\n1409329416\t16.560000\n1409330017\t16.500000\n1409330617\t16.440000\n1409331218\t16.380000\n1409331818\t16.310000\n1409332419\t16.250000\n1409333019\t16.690000\n1409333620\t16.560000\n1409334220\t16.250000\n1409334821\t15.940000\n1409335421\t15.750000\n1409336037\t15.560000\n1409336637\t15.440000\n1409337238\t15.250000\n1409337838\t15.120000\n1409338439\t14.880000\n1409339040\t14.750000\n1409339640\t14.500000\n1409340241\t14.380000\n1409340841\t14.310000\n1409341442\t14.250000\n1409342042\t14.190000\n1409342643\t14.190000\n1409343243\t14.060000\n1409343844\t14.060000\n1409344444\t14.060000\n1409345045\t14.000000\n1409345646\t13.940000\n1409346246\t13.810000\n1409346847\t13.810000\n1409347447\t13.810000\n1409348048\t13.810000\n1409348648\t13.750000\n1409349249\t13.620000\n1409349849\t13.620000\n1409350450\t13.440000\n1409351050\t13.380000\n1409351651\t13.380000\n1409352251\t13.380000\n1409352852\t13.440000\n1409353452\t13.500000\n1409354053\t13.440000\n1409354668\t13.380000\n1409355269\t13.380000\n1409355870\t13.310000\n1409356470\t13.250000\n1409357071\t13.250000\n1409357671\t13.190000\n1409358272\t13.120000\n1409358872\t12.940000\n1409359473\t12.750000\n1409360073\t12.560000\n1409360674\t12.560000\n1409361274\t12.440000\n1409361875\t12.380000\n1409362475\t12.380000\n1409363076\t12.440000\n1409363677\t12.380000\n1409364277\t12.250000\n1409364878\t12.250000\n1409365478\t12.120000\n1409366079\t12.060000\n1409366679\t12.000000\n1409367280\t12.000000\n1409367880\t11.880000\n1409368481\t11.810000\n1409369081\t11.880000\n1409369682\t11.880000\n1409370283\t11.940000\n1409370883\t12.000000\n1409371484\t12.060000\n1409372099\t12.060000\n1409372700\t12.120000\n1409373300\t12.250000\n1409373901\t12.310000\n1409374501\t12.310000\n1409375102\t12.380000\n1409375702\t12.380000\n1409376303\t12.310000\n1409376903\t12.380000\n1409377504\t12.380000\n1409378105\t12.380000\n1409378705\t12.440000\n1409379306\t12.500000\n1409379906\t12.690000\n1409380507\t12.690000\n1409381107\t12.880000\n1409381708\t13.060000\n1409382308\t13.310000\n1409382909\t13.620000\n1409383509\t13.620000\n1409384110\t13.750000\n1409384710\t14.000000\n1409385311\t13.940000\n1409385912\t13.940000\n1409386512\t14.060000\n1409387113\t14.060000\n1409387713\t14.120000\n1409388314\t14.310000\n1409388914\t14.380000\n1409389515\t14.250000\n1409390130\t14.380000\n1409390731\t14.500000\n1409391331\t15.500000\n1409391932\t15.120000\n1409392532\t15.250000\n1409393133\t14.880000\n1409393734\t15.500000\n1409394334\t15.880000\n1409394935\t16.250000\n1409395535\t16.190000\n1409396136\t16.690000\n1409396736\t16.880000\n1409397337\t16.940000\n1409397937\t17.190000\n1409398538\t17.120000\n1409399138\t17.000000\n1409399739\t17.120000\n1409400339\t17.190000\n1409400940\t17.190000\n1409401541\t17.310000\n1409402141\t17.440000\n1409402742\t17.440000\n1409403342\t17.310000\n1409403943\t17.440000\n1409404543\t17.310000\n1409405144\t17.380000\n1409405744\t17.620000\n1409406345\t18.000000\n1409406945\t17.940000\n1409407546\t18.120000\n1409408146\t17.940000\n1409408762\t17.810000\n1409409363\t17.310000\n1409409963\t17.060000\n1409410564\t17.310000\n1409411164\t17.690000\n1409411765\t17.940000\n1409412365\t17.880000\n1409412966\t17.810000\n1409413566\t17.810000\n1409414167\t17.750000\n1409414767\t17.440000\n1409415368\t17.250000\n1409415968\t17.190000\n1409416569\t16.940000\n1409417169\t16.620000\n1409417770\t16.440000\n1409418370\t16.120000\n1409418971\t15.810000\n1409419571\t15.560000\n1409420172\t15.310000\n1409420773\t15.000000\n1409421373\t14.690000\n1409421974\t14.500000\n1409422574\t14.190000\n1409423175\t13.940000\n1409423775\t13.750000\n1409424376\t13.440000\n1409424976\t13.310000\n1409425577\t13.120000\n1409426177\t13.120000\n1409426793\t13.000000\n1409427393\t12.880000\n1409427994\t12.750000\n1409428594\t12.690000\n1409429195\t12.620000\n1409429796\t12.620000\n1409430396\t12.620000\n1409430997\t12.690000\n1409431597\t12.750000\n1409432198\t12.750000\n1409432798\t12.810000\n1409433399\t12.810000\n1409433999\t12.940000\n1409434600\t13.000000\n1409435200\t13.060000\n1409435801\t13.190000\n1409436401\t13.250000\n1409437002\t13.250000\n1409437603\t13.190000\n1409438203\t13.120000\n1409438804\t13.120000\n1409439404\t13.060000\n1409440005\t13.000000\n1409440605\t12.880000\n1409441206\t12.690000\n1409441806\t12.620000\n1409442407\t12.500000\n1409443007\t12.440000\n1409443608\t12.310000\n1409444208\t12.250000\n1409444824\t12.120000\n1409445425\t12.120000\n1409446025\t12.060000\n1409446626\t12.060000\n1409447226\t12.000000\n1409447827\t11.880000\n1409448427\t11.880000\n1409449028\t11.880000\n1409449628\t11.810000\n1409450229\t11.690000\n1409450829\t11.750000\n1409451430\t11.690000\n1409452030\t11.620000\n1409452631\t11.620000\n1409453232\t11.560000\n1409453832\t11.440000\n1409454433\t11.500000\n1409455033\t11.440000\n1409455634\t11.380000\n1409456234\t11.310000\n1409456835\t11.380000\n1409457435\t11.380000\n1409458036\t11.380000\n1409458637\t11.440000\n1409459237\t11.500000\n1409459838\t11.560000\n1409460438\t11.690000\n1409461039\t11.750000\n1409461639\t11.880000\n1409462240\t11.880000\n1409462855\t11.940000\n1409463456\t12.060000\n1409464056\t12.190000\n1409464657\t12.380000\n1409465257\t12.440000\n1409465858\t12.440000\n1409466458\t12.500000\n1409467059\t12.500000\n1409467659\t12.560000\n1409468260\t12.690000\n1409468860\t12.940000\n1409469461\t13.120000\n1409470062\t13.380000\n1409470662\t13.620000\n1409471263\t13.750000\n1409471863\t14.190000\n1409472464\t14.560000\n1409473064\t15.310000\n1409473665\t15.560000\n1409474265\t16.060000\n1409474866\t16.190000\n1409475466\t16.310000\n1409476067\t16.310000\n1409476667\t16.620000\n1409477268\t16.690000\n1409477869\t16.690000\n1409478469\t16.690000\n1409479070\t17.000000\n1409479670\t17.310000\n1409480271\t18.000000\n1409480886\t17.690000\n1409481487\t18.000000\n1409482087\t18.120000\n1409482688\t17.380000\n1409483288\t17.310000\n1409483889\t17.000000\n1409484490\t16.750000\n1409485090\t17.560000\n1409485691\t17.380000\n1409486291\t17.190000\n1409486892\t17.120000\n1409487492\t17.060000\n1409488093\t17.690000\n1409488693\t17.560000\n1409489294\t17.380000\n1409489894\t17.120000\n1409490495\t17.060000\n1409491096\t17.000000\n1409491696\t17.060000\n1409492297\t17.190000\n1409492897\t17.310000\n1409493498\t17.500000\n1409494098\t17.310000\n1409494699\t17.190000\n1409495299\t17.120000\n1409495900\t17.060000\n1409496500\t16.810000\n1409497101\t16.500000\n1409497701\t16.310000\n1409498302\t16.190000\n1409498902\t16.120000\n1409499503\t16.060000\n1409500104\t16.120000\n1409500704\t16.120000\n1409501305\t16.120000\n1409501905\t15.940000\n1409502506\t15.810000\n1409503121\t15.690000\n1409503722\t15.560000\n1409504322\t15.250000\n1409504923\t15.190000\n1409505523\t15.190000\n1409506124\t14.880000\n1409506724\t14.750000\n1409507325\t14.440000\n1409507926\t14.190000\n1409508526\t14.120000\n1409509127\t14.000000\n1409509727\t14.000000\n1409510328\t14.060000\n1409510928\t14.000000\n1409511529\t14.000000\n1409512129\t14.000000\n1409512730\t13.940000\n1409513330\t13.750000\n1409513931\t13.560000\n1409514531\t13.310000\n1409515132\t13.120000\n1409515732\t12.880000\n1409516333\t12.690000\n1409516933\t12.620000\n1409517534\t12.440000\n1409518135\t12.250000\n1409518735\t12.060000\n1409519336\t12.000000\n1409519936\t11.810000\n1409520537\t11.810000\n1409521137\t11.620000\n1409521738\t11.500000\n1409522338\t11.310000\n1409522954\t11.250000\n1409523554\t11.120000\n1409524155\t10.810000\n1409524755\t10.880000\n1409525356\t10.620000\n1409525957\t10.440000\n1409526557\t10.380000\n1409527158\t10.120000\n1409527758\t10.000000\n1409528359\t9.690000\n1409528959\t9.560000\n1409529560\t9.560000\n1409530160\t9.250000\n1409530761\t9.310000\n1409531361\t9.380000\n1409531962\t9.000000\n1409532563\t9.190000\n1409533163\t9.190000\n1409533764\t9.120000\n1409534364\t9.190000\n1409534965\t9.250000\n1409535565\t9.250000\n1409536166\t9.310000\n1409536766\t9.560000\n1409537367\t9.690000\n1409537967\t9.750000\n1409538568\t9.880000\n1409539169\t10.000000\n1409539769\t9.880000\n1409540370\t10.060000\n1409540970\t10.250000\n1409541571\t10.500000\n1409542171\t10.690000\n1409542787\t10.940000\n1409543387\t11.000000\n1409543988\t11.120000\n1409544588\t11.250000\n1409545189\t11.380000\n1409545789\t11.500000\n1409546390\t11.620000\n1409546991\t11.810000\n1409547591\t11.880000\n1409548191\t11.940000\n1409548792\t11.940000\n1409549393\t11.940000\n1409549993\t12.000000\n1409550594\t12.000000\n1409551194\t12.000000\n1409551795\t12.310000\n1409552395\t12.380000\n1409552996\t12.380000\n1409553596\t12.440000\n1409554197\t12.440000\n1409554797\t12.310000\n1409555398\t12.310000\n1409555998\t12.440000\n1409556599\t12.620000\n1409557199\t12.750000\n1409557800\t12.810000\n1409558400\t12.880000\n1409559001\t13.000000\n1409559602\t13.120000\n1409560202\t13.250000\n1409560818\t13.310000\n1409561418\t13.440000\n1409562019\t13.750000\n1409562619\t14.250000\n1409563220\t14.810000\n1409563820\t14.940000\n1409564421\t14.690000\n1409565021\t15.190000\n1409565622\t15.250000\n1409566222\t15.940000\n1409566823\t16.440000\n1409567423\t16.440000\n1409568024\t16.750000\n1409568625\t16.500000\n1409569225\t16.120000\n1409569826\t16.190000\n1409570426\t16.120000\n1409571027\t16.940000\n1409571627\t17.120000\n1409572228\t17.750000\n1409572828\t18.000000\n1409573429\t17.060000\n1409574029\t17.190000\n1409574630\t16.940000\n1409575231\t16.620000\n1409575831\t16.560000\n1409576432\t16.560000\n1409577032\t16.750000\n1409577633\t17.380000\n1409578233\t16.880000\n1409578834\t17.620000\n1409579449\t17.380000\n1409580050\t17.060000\n1409580650\t16.940000\n1409581251\t17.120000\n1409581851\t17.000000\n1409582452\t17.690000\n1409583053\t17.380000\n1409583653\t18.060000\n1409584254\t18.380000\n1409584854\t18.380000\n1409585455\t18.120000\n1409586055\t18.690000\n1409586656\t18.690000\n1409587256\t18.620000\n1409587857\t18.440000\n1409588457\t18.250000\n1409589058\t18.060000\n1409589658\t18.250000\n1409590259\t17.940000\n1409590860\t17.310000\n1409591460\t17.190000\n1409592061\t16.620000\n1409592661\t16.120000\n1409593262\t15.560000\n1409593862\t15.250000\n1409594463\t15.000000\n1409595063\t14.750000\n1409595664\t14.500000\n1409596264\t14.380000\n1409596865\t14.190000\n1409597465\t14.060000\n1409598066\t13.880000\n1409598682\t13.810000\n1409599282\t13.620000\n1409599883\t13.560000\n1409600483\t13.500000\n1409601084\t13.380000\n1409601684\t13.310000\n1409602285\t13.250000\n1409602885\t13.190000\n1409603486\t13.190000\n1409604086\t13.120000\n1409604687\t13.060000\n1409605287\t13.000000\n1409605888\t12.880000\n1409606489\t12.880000\n1409607089\t12.750000\n1409607690\t12.620000\n1409608290\t12.440000\n1409608891\t12.380000\n1409609491\t12.310000\n1409610092\t12.190000\n1409610692\t12.120000\n1409611293\t12.060000\n1409611893\t11.880000\n1409612494\t11.880000\n1409613095\t11.500000\n1409613695\t11.440000\n1409614296\t11.250000\n1409614896\t11.060000\n1409615497\t11.000000\n1409616097\t11.060000\n1409616713\t11.000000\n1409617313\t11.120000\n1409617914\t11.310000\n1409618514\t11.380000\n1409619115\t11.440000\n1409619715\t10.500000\n1409620316\t10.560000\n1409620917\t10.810000\n1409621517\t11.060000\n1409622118\t11.120000\n1409622718\t11.250000\n1409623319\t11.250000\n1409623919\t11.250000\n1409624520\t11.310000\n1409625120\t11.380000\n1409625721\t11.440000\n1409626321\t11.440000\n1409626922\t11.310000\n1409627523\t11.310000\n1409628123\t11.310000\n1409628724\t11.500000\n1409629324\t11.380000\n1409629925\t11.440000\n1409630525\t11.440000\n1409631126\t11.380000\n1409631726\t11.440000\n1409632327\t11.380000\n1409632927\t11.380000\n1409633528\t11.500000\n1409634129\t11.690000\n1409634729\t11.810000\n1409635330\t12.060000\n1409635930\t12.120000\n1409636546\t12.190000\n1409637146\t12.380000\n1409637747\t12.560000\n1409638347\t12.880000\n1409638948\t13.060000\n1409639548\t13.120000\n1409640149\t13.310000\n1409640750\t13.500000\n1409641350\t13.500000\n1409641951\t14.000000\n1409642551\t14.500000\n1409643152\t14.620000\n1409643752\t14.810000\n1409644353\t15.250000\n1409644953\t15.500000\n1409645554\t15.380000\n1409646154\t15.500000\n1409646755\t16.620000\n1409647355\t16.690000\n1409647956\t16.940000\n1409648556\t17.250000\n1409649157\t17.380000\n1409649757\t18.060000\n1409650358\t18.060000\n1409650958\t18.690000\n1409651559\t18.690000\n1409652160\t18.500000\n1409652760\t18.190000\n1409653361\t18.250000\n1409653976\t18.560000\n1409654577\t19.060000\n1409655177\t19.500000\n1409655778\t19.190000\n1409656378\t19.310000\n1409656979\t19.250000\n1409657579\t18.940000\n1409658180\t19.560000\n1409658780\t19.620000\n1409659381\t19.310000\n1409659982\t19.380000\n1409660582\t19.560000\n1409661183\t19.690000\n1409661783\t20.190000\n1409662384\t20.500000\n1409662984\t20.310000\n1409663585\t20.000000\n1409664185\t20.120000\n1409664786\t20.750000\n1409665386\t20.880000\n1409665987\t20.190000\n1409666587\t20.620000\n1409667188\t20.560000\n1409667789\t20.810000\n1409668389\t20.940000\n1409668990\t21.120000\n1409669590\t20.500000\n1409670191\t21.060000\n1409670791\t21.060000\n1409671392\t21.120000\n1409671992\t20.620000\n1409672608\t20.380000\n1409673208\t19.500000\n1409673809\t19.310000\n1409674410\t19.250000\n1409675010\t19.000000\n1409675611\t18.880000\n1409676211\t18.810000\n1409676812\t18.750000\n1409677412\t18.750000\n1409678013\t18.940000\n1409678613\t18.750000\n1409679214\t18.560000\n1409679814\t18.250000\n1409680415\t17.940000\n1409681016\t17.690000\n1409681616\t17.440000\n1409682217\t17.250000\n1409682817\t17.060000\n1409683418\t16.940000\n1409684018\t16.690000\n1409684619\t16.440000\n1409685219\t16.120000\n1409685820\t15.880000\n1409686420\t15.690000\n1409687021\t15.690000\n1409687621\t15.560000\n1409688222\t15.500000\n1409688823\t15.440000\n1409689423\t15.440000\n1409690024\t15.310000\n1409690639\t15.310000\n1409691240\t15.120000\n1409691840\t14.940000\n1409692441\t14.940000\n1409693041\t14.690000\n1409693642\t14.560000\n1409694242\t14.380000\n1409694843\t14.310000\n1409695444\t14.060000\n1409696044\t14.000000\n1409696645\t14.000000\n1409697245\t13.810000\n1409697846\t13.690000\n1409698446\t13.500000\n1409699047\t13.560000\n1409699647\t13.620000\n1409700248\t13.560000\n1409700848\t13.500000\n1409701449\t13.310000\n1409702049\t13.250000\n1409702650\t13.190000\n1409703250\t13.190000\n1409703851\t13.120000\n1409704452\t13.060000\n1409705052\t13.000000\n1409705653\t12.940000\n1409706268\t12.880000\n1409706869\t12.940000\n1409707469\t12.690000\n1409708070\t12.440000\n1409708670\t12.310000\n1409709271\t12.440000\n1409709871\t12.440000\n1409710472\t12.310000\n1409711072\t12.190000\n1409711673\t12.000000\n1409712273\t12.060000\n1409712874\t11.880000\n1409713475\t12.000000\n1409714075\t11.940000\n1409714676\t11.880000\n1409715276\t11.750000\n1409715877\t11.880000\n1409716477\t11.940000\n1409717078\t12.060000\n1409717678\t12.060000\n1409718279\t12.190000\n1409718879\t12.310000\n1409719480\t12.440000\n1409720080\t12.500000\n1409720681\t12.560000\n1409721282\t12.690000\n1409721882\t12.810000\n1409722483\t13.060000\n1409723083\t13.000000\n1409723699\t13.120000\n1409724299\t13.380000\n1409724900\t14.060000\n1409725500\t14.560000\n1409726101\t14.880000\n1409726701\t15.060000\n1409727302\t15.190000\n1409727902\t15.380000\n1409728503\t15.310000\n1409729103\t15.440000\n1409729704\t15.560000\n1409730305\t15.500000\n1409730905\t15.560000\n1409731506\t15.690000\n1409732106\t15.810000\n1409732707\t16.000000\n1409733307\t16.310000\n1409733908\t16.190000\n1409734508\t16.250000\n1409735109\t16.310000\n1409735709\t16.440000\n1409736310\t16.620000\n1409736910\t16.810000\n1409737511\t16.880000\n1409738111\t16.940000\n1409738712\t17.250000\n1409739313\t17.750000\n1409739913\t17.380000\n1409740514\t17.500000\n1409741114\t17.620000\n1409741715\t18.440000\n1409742330\t18.880000\n1409742931\t18.880000\n1409743531\t19.190000\n1409744132\t18.250000\n1409744732\t18.880000\n1409745333\t19.620000\n1409745933\t19.000000\n1409746534\t18.880000\n1409747135\t19.810000\n1409747735\t20.440000\n1409748336\t20.500000\n1409748936\t20.690000\n1409749537\t20.560000\n1409750137\t20.880000\n1409750738\t21.250000\n1409751338\t21.190000\n1409751939\t21.440000\n1409752539\t21.620000\n1409753140\t21.690000\n1409753741\t21.880000\n1409754341\t22.000000\n1409754942\t21.750000\n1409755542\t22.120000\n1409756143\t22.060000\n1409756743\t21.940000\n1409757344\t21.810000\n1409757944\t21.750000\n1409758545\t21.750000\n1409759145\t21.690000\n1409759746\t21.500000\n1409760361\t21.440000\n1409760962\t21.120000\n1409761562\t20.940000\n1409762163\t20.940000\n1409762763\t21.120000\n1409763364\t20.880000\n1409763965\t20.620000\n1409764565\t20.120000\n1409765166\t19.620000\n1409765766\t19.060000\n1409766367\t18.560000\n1409766967\t18.060000\n1409767568\t17.750000\n1409768168\t17.560000\n1409768769\t17.380000\n1409769369\t17.310000\n1409769970\t17.250000\n1409770571\t17.120000\n1409771171\t16.940000\n1409771772\t16.380000\n1409772372\t16.250000\n1409772973\t16.120000\n1409773573\t16.060000\n1409774174\t15.880000\n1409774774\t15.810000\n1409775375\t15.690000\n1409775975\t15.560000\n1409776576\t15.440000\n1409777177\t15.380000\n1409777777\t15.250000\n1409778393\t15.120000\n1409778993\t14.940000\n1409779594\t14.810000\n1409780194\t14.560000\n1409780795\t14.560000\n1409781395\t14.440000\n1409781996\t14.500000\n1409782596\t14.380000\n1409783197\t14.250000\n1409783797\t14.060000\n1409784398\t13.880000\n1409784998\t13.810000\n1409785599\t13.750000\n1409786200\t13.690000\n1409786800\t13.620000\n1409787401\t13.620000\n1409788001\t13.560000\n1409788602\t13.560000\n1409789202\t13.560000\n1409789803\t13.560000\n1409790403\t13.620000\n1409791004\t13.500000\n1409791604\t13.440000\n1409792205\t13.500000\n1409792805\t13.440000\n1409793406\t13.190000\n1409794006\t12.940000\n1409794607\t12.620000\n1409795208\t12.440000\n1409795808\t12.190000\n1409796409\t12.380000\n1409797024\t12.250000\n1409797625\t12.250000\n1409798225\t12.120000\n1409798826\t11.880000\n1409799426\t11.810000\n1409800027\t11.750000\n1409800627\t11.380000\n1409801228\t11.120000\n1409801828\t11.250000\n1409802429\t11.380000\n1409803029\t11.440000\n1409803630\t11.380000\n1409804230\t11.560000\n1409804831\t11.560000\n1409805431\t11.380000\n1409806032\t11.380000\n1409806632\t11.560000\n1409807233\t11.620000\n1409807834\t11.690000\n1409808434\t11.810000\n1409809035\t12.000000\n1409809635\t12.250000\n1409810236\t12.440000\n1409810836\t12.620000\n1409811437\t12.880000\n1409812037\t13.440000\n1409812638\t14.000000\n1409813238\t14.620000\n1409813839\t15.060000\n1409814439\t15.620000\n1409815055\t16.120000\n1409815656\t16.310000\n1409816256\t16.560000\n1409816857\t17.060000\n1409817457\t17.620000\n1409818058\t17.940000\n1409818658\t18.310000\n1409819259\t18.560000\n1409819859\t18.690000\n1409820460\t19.190000\n1409821060\t19.620000\n1409821661\t19.880000\n1409822261\t20.190000\n1409822862\t20.060000\n1409823463\t20.310000\n1409824063\t20.440000\n1409824664\t20.690000\n1409825264\t20.690000\n1409825865\t21.000000\n1409826465\t21.000000\n1409827066\t21.190000\n1409827666\t21.310000\n1409828267\t21.380000\n1409828867\t21.690000\n1409829468\t21.750000\n1409830068\t21.940000\n1409830669\t22.000000\n1409831269\t22.250000\n1409831870\t22.310000\n1409832471\t22.560000\n1409833086\t22.560000\n1409833687\t22.880000\n1409834287\t22.810000\n1409834888\t22.750000\n1409835488\t22.750000\n1409836089\t23.000000\n1409836689\t22.940000\n1409837290\t22.810000\n1409837890\t22.880000\n1409838491\t22.880000\n1409839092\t23.250000\n1409839692\t23.120000\n1409840293\t23.120000\n1409840893\t23.310000\n1409841494\t23.190000\n1409842094\t23.060000\n1409842695\t22.810000\n1409843295\t23.190000\n1409843896\t22.750000\n1409844496\t23.000000\n1409845097\t22.880000\n1409845698\t22.690000\n1409846298\t22.560000\n1409846899\t22.500000\n1409847499\t22.440000\n1409848100\t22.190000\n1409848700\t22.440000\n1409849301\t22.620000\n1409849901\t22.310000\n1409850502\t22.060000\n1409851102\t21.810000\n1409851718\t21.310000\n1409852319\t20.620000\n1409852919\t20.000000\n1409853520\t19.500000\n1409854120\t19.060000\n1409854721\t18.750000\n1409855321\t18.500000\n1409855922\t18.310000\n1409856522\t18.120000\n1409857123\t17.940000\n1409857723\t17.750000\n1409858324\t17.500000\n1409858925\t17.120000\n1409859525\t16.810000\n1409860126\t16.620000\n1409860726\t16.440000\n1409861327\t16.060000\n1409861927\t15.880000\n1409862528\t15.940000\n1409863128\t15.810000\n1409863729\t15.690000\n1409864330\t15.560000\n1409864930\t15.380000\n1409865531\t15.190000\n1409866131\t14.880000\n1409866732\t14.810000\n1409867332\t14.000000\n1409867933\t14.120000\n1409868533\t14.060000\n1409869134\t13.810000\n1409869734\t14.000000\n1409870350\t13.750000\n1409870950\t14.000000\n1409871551\t13.940000\n1409872152\t14.060000\n1409872752\t14.060000\n1409873353\t13.620000\n1409873953\t13.620000\n1409874554\t13.690000\n1409875154\t13.620000\n1409875755\t13.620000\n1409876355\t13.560000\n1409876956\t13.440000\n1409877556\t13.440000\n1409878157\t13.190000\n1409878757\t13.190000\n1409879358\t13.190000\n1409879958\t13.250000\n1409880559\t13.310000\n1409881160\t13.310000\n1409881760\t13.190000\n1409882361\t13.000000\n1409882961\t12.380000\n1409883562\t12.440000\n1409884162\t12.440000\n1409884763\t12.440000\n1409885363\t12.250000\n1409885964\t12.190000\n1409886564\t12.190000\n1409887165\t12.060000\n1409887765\t11.940000\n1409888366\t11.750000\n1409888966\t11.500000\n1409889567\t11.500000\n1409890182\t11.440000\n1409890783\t11.250000\n1409891384\t11.190000\n1409891984\t11.190000\n1409892585\t11.190000\n1409893185\t11.440000\n1409893786\t11.310000\n1409894386\t11.440000\n1409894987\t11.690000\n1409895587\t11.940000\n1409896188\t12.120000\n1409896788\t12.250000\n1409897389\t12.560000\n1409897989\t12.810000\n1409898590\t13.250000\n1409899191\t13.690000\n1409899791\t13.940000\n1409900392\t14.310000\n1409900992\t14.500000\n1409901593\t14.500000\n1409902193\t14.440000\n1409902794\t14.940000\n1409903394\t15.440000\n1409903995\t15.810000\n1409904595\t16.190000\n1409905196\t16.380000\n1409905796\t16.690000\n1409906397\t16.940000\n1409906998\t17.120000\n1409907598\t17.250000\n1409908199\t17.620000\n1409908799\t17.940000\n1409909400\t18.310000\n1409910000\t18.690000\n1409910601\t18.810000\n1409911216\t18.620000\n1409911817\t18.190000\n1409912417\t18.690000\n1409913018\t18.880000\n1409913619\t19.120000\n1409914219\t19.620000\n1409914820\t19.380000\n1409915420\t19.190000\n1409916021\t19.620000\n1409916621\t19.560000\n1409917222\t19.250000\n1409917822\t19.690000\n1409918423\t19.810000\n1409919023\t19.560000\n1409919624\t20.250000\n1409920224\t20.380000\n1409920825\t20.880000\n1409921426\t21.250000\n1409922026\t21.500000\n1409922627\t21.310000\n1409923227\t21.690000\n1409923828\t21.810000\n1409924428\t21.940000\n1409925029\t22.120000\n1409925629\t21.940000\n1409926230\t22.190000\n1409926830\t22.440000\n1409927431\t22.500000\n1409928031\t22.560000\n1409928632\t22.500000\n1409929233\t21.690000\n1409929833\t21.190000\n1409930434\t20.690000\n1409931049\t21.310000\n1409931650\t21.940000\n1409932250\t21.810000\n1409932851\t20.620000\n1409933451\t20.690000\n1409934052\t21.120000\n1409934653\t21.190000\n1409935253\t21.000000\n1409935854\t20.750000\n1409936454\t20.500000\n1409937055\t20.190000\n1409937655\t19.940000\n1409938256\t19.190000\n1409938856\t18.690000\n1409939457\t18.120000\n1409940057\t17.690000\n1409940658\t17.440000\n1409941258\t17.190000\n1409941859\t16.810000\n1409942460\t16.250000\n1409943060\t16.120000\n1409943661\t16.060000\n1409944261\t15.810000\n1409944862\t15.440000\n1409945462\t15.250000\n1409946063\t14.940000\n1409946663\t14.810000\n1409947264\t14.810000\n1409947864\t14.690000\n1409948465\t14.440000\n1409949065\t13.880000\n1409949681\t14.000000\n1409950282\t13.620000\n1409950882\t13.120000\n1409951483\t13.440000\n1409952083\t13.190000\n1409952684\t13.250000\n1409953284\t13.190000\n1409953885\t12.750000\n1409954485\t12.940000\n1409955086\t13.000000\n1409955686\t12.810000\n1409956287\t12.620000\n1409956888\t12.560000\n1409957488\t12.560000\n1409958089\t12.440000\n1409958689\t12.310000\n1409959290\t12.310000\n1409959890\t12.120000\n1409960491\t11.810000\n1409961091\t11.750000\n1409961692\t11.620000\n1409962292\t11.310000\n1409962893\t11.190000\n1409963494\t11.310000\n1409964094\t11.250000\n1409964695\t11.310000\n1409965295\t11.120000\n1409965896\t11.120000\n1409966496\t11.060000\n1409967097\t11.000000\n1409967697\t10.620000\n1409968313\t10.690000\n1409968913\t10.750000\n1409969514\t10.380000\n1409970114\t10.060000\n1409970715\t10.120000\n1409971316\t10.380000\n1409971916\t10.310000\n1409972517\t10.500000\n1409973117\t10.690000\n1409973718\t10.440000\n1409974318\t10.310000\n1409974919\t10.380000\n1409975519\t10.000000\n1409976120\t8.500000\n1409976720\t9.190000\n1409977321\t9.120000\n1409977921\t8.690000\n1409978522\t8.560000\n1409979123\t8.940000\n1409979723\t8.560000\n1409980324\t9.060000\n1409980924\t9.880000\n1409981525\t10.190000\n1409982125\t10.380000\n1409982726\t10.620000\n1409983326\t10.810000\n1409983927\t11.000000\n1409984527\t11.190000\n1409985128\t11.500000\n1409985728\t11.690000\n1409986329\t12.060000\n1409986944\t12.440000\n1409987545\t12.880000\n1409988146\t13.310000\n1409988746\t13.750000\n1409989347\t14.190000\n1409989947\t14.690000\n1409990548\t15.120000\n1409991148\t15.620000\n1409991749\t16.000000\n1409992349\t16.310000\n1409992950\t16.620000\n1409993550\t16.940000\n1409994151\t17.190000\n1409994752\t17.380000\n1409995352\t17.560000\n1409995953\t17.620000\n1409996553\t17.880000\n1409997154\t18.060000\n1409997754\t18.250000\n1409998355\t18.500000\n1409998955\t18.750000\n1409999556\t18.880000\n1410000156\t19.190000\n1410000757\t19.310000\n1410001357\t19.310000\n1410001958\t19.500000\n1410002558\t19.560000\n1410003159\t20.060000\n1410003759\t20.000000\n1410004360\t20.250000\n1410004976\t20.380000\n1410005576\t20.750000\n1410006177\t20.750000\n1410006777\t20.310000\n1410007378\t20.190000\n1410007978\t20.060000\n1410008579\t20.310000\n1410009179\t20.620000\n1410009780\t20.880000\n1410010380\t21.060000\n1410010981\t21.120000\n1410011581\t20.940000\n1410012182\t20.690000\n1410012782\t20.120000\n1410013383\t19.810000\n1410013983\t19.750000\n1410014584\t19.620000\n1410015184\t19.560000\n1410015785\t19.440000\n1410016386\t19.310000\n1410016986\t19.310000\n1410017587\t19.310000\n1410018187\t19.380000\n1410018788\t19.250000\n1410019388\t19.120000\n1410019989\t19.000000\n1410020589\t18.880000\n1410021190\t19.190000\n1410021790\t19.440000\n1410022406\t19.440000\n1410023006\t19.250000\n1410023607\t19.000000\n1410024207\t18.750000\n1410024808\t18.380000\n1410025408\t18.120000\n1410026009\t17.880000\n1410026609\t17.750000\n1410027210\t17.500000\n1410027811\t17.380000\n1410028411\t17.310000\n1410029012\t17.120000\n1410029612\t17.000000\n1410030213\t16.810000\n1410030813\t16.620000\n1410031414\t16.440000\n1410032014\t16.190000\n1410032615\t16.060000\n1410033215\t15.880000\n1410033816\t15.690000\n1410034416\t15.440000\n1410035017\t15.310000\n1410035617\t15.190000\n1410036218\t15.060000\n1410036819\t14.940000\n1410037419\t14.810000\n1410038020\t14.560000\n1410038620\t14.440000\n1410039221\t14.440000\n1410039836\t14.190000\n1410040437\t14.120000\n1410041037\t14.000000\n1410041638\t13.940000\n1410042238\t13.880000\n1410042839\t13.810000\n1410043440\t13.810000\n1410044040\t13.690000\n1410044641\t13.560000\n1410045241\t13.440000\n1410045842\t13.250000\n1410046442\t13.120000\n1410047043\t13.190000\n1410047643\t13.190000\n1410048244\t13.060000\n1410048844\t13.060000\n1410049445\t12.940000\n1410050046\t12.880000\n1410050646\t12.940000\n1410051247\t12.810000\n1410051847\t12.810000\n1410052448\t12.940000\n1410053048\t13.190000\n1410053649\t13.250000\n1410054249\t13.310000\n1410054850\t13.380000\n1410055450\t13.380000\n1410056051\t13.440000\n1410056651\t13.560000\n1410057252\t13.620000\n1410057853\t13.750000\n1410058468\t13.750000\n1410059069\t13.810000\n1410059669\t13.880000\n1410060270\t13.940000\n1410060870\t13.940000\n1410061471\t14.000000\n1410062071\t14.060000\n1410062672\t14.000000\n1410063272\t14.000000\n1410063873\t14.000000\n1410064473\t14.120000\n1410065074\t14.120000\n1410065675\t14.250000\n1410066275\t14.380000\n1410066876\t14.440000\n1410067476\t14.560000\n1410068077\t14.560000\n1410068677\t14.690000\n1410069278\t14.750000\n1410069878\t14.690000\n1410070479\t14.690000\n1410071079\t15.000000\n1410071680\t15.120000\n1410072280\t15.120000\n1410072881\t15.060000\n1410073482\t15.120000\n1410074082\t15.380000\n1410074683\t15.560000\n1410075283\t15.750000\n1410075884\t16.060000\n1410076484\t16.310000\n1410077085\t16.560000\n1410077701\t16.880000\n1410078301\t17.120000\n1410078902\t17.440000\n1410079502\t17.620000\n1410080103\t17.880000\n1410080703\t18.190000\n1410081304\t18.380000\n1410081904\t18.560000\n1410082505\t18.690000\n1410083105\t18.880000\n1410083706\t18.940000\n1410084306\t19.000000\n1410084907\t19.250000\n1410085507\t19.310000\n1410086108\t19.440000\n1410086709\t19.750000\n1410087309\t20.250000\n1410087910\t20.440000\n1410088510\t20.310000\n1410089111\t20.380000\n1410089711\t20.440000\n1410090312\t20.560000\n1410090912\t20.750000\n1410091513\t21.250000\n1410092113\t20.560000\n1410092714\t20.750000\n1410093314\t20.310000\n1410093915\t20.940000\n1410094516\t20.440000\n1410095116\t21.500000\n1410095717\t21.310000\n1410096332\t20.940000\n1410096933\t21.310000\n1410097533\t22.120000\n1410098134\t22.440000\n1410098734\t22.690000\n1410099335\t22.880000\n1410099935\t22.940000\n1410100536\t22.810000\n1410101136\t22.310000\n1410101737\t22.500000\n1410102338\t22.440000\n1410102938\t22.310000\n1410103539\t22.060000\n1410104139\t22.000000\n1410104740\t21.810000\n1410105340\t21.620000\n1410105941\t21.380000\n1410106541\t21.120000\n1410107142\t20.810000\n1410107742\t20.620000\n1410108343\t20.380000\n1410108944\t19.620000\n1410109544\t19.120000\n1410110145\t18.750000\n1410110745\t18.190000\n1410111346\t17.810000\n1410111946\t17.440000\n1410112547\t17.190000\n1410113147\t17.000000\n1410113748\t16.750000\n1410114348\t16.620000\n1410114964\t16.560000\n1410115565\t16.500000\n1410116165\t16.250000\n1410116766\t16.060000\n1410117366\t15.880000\n1410117967\t15.750000\n1410118567\t15.620000\n1410119168\t15.560000\n1410119768\t15.500000\n1410120369\t15.440000\n1410120969\t15.310000\n1410121570\t15.190000\n1410122170\t15.060000\n1410122771\t15.000000\n1410123371\t15.000000\n1410123972\t14.940000\n1410124573\t14.880000\n1410125173\t14.750000\n1410125774\t14.690000\n1410126374\t14.560000\n1410126975\t14.500000\n1410127575\t14.310000\n1410128176\t14.250000\n1410128776\t14.250000\n1410129377\t14.190000\n1410129977\t14.120000\n1410130578\t14.060000\n1410131178\t13.940000\n1410131779\t13.810000\n1410132394\t13.810000\n1410132995\t13.690000\n1410133595\t13.690000\n1410134196\t13.750000\n1410134796\t13.810000\n1410135397\t13.810000\n1410135997\t13.810000\n1410136598\t13.750000\n1410137198\t13.750000\n1410137799\t13.810000\n1410138399\t13.690000\n1410139000\t13.750000\n1410139601\t13.620000\n1410140201\t13.620000\n1410140802\t13.560000\n1410141402\t13.560000\n1410142003\t13.560000\n1410142603\t13.560000\n1410143204\t13.560000\n1410143804\t13.500000\n1410144405\t13.500000\n1410145006\t13.500000\n1410145606\t13.560000\n1410146207\t13.560000\n1410146807\t13.620000\n1410147408\t13.560000\n1410148008\t13.560000\n1410148609\t13.560000\n1410149209\t13.560000\n1410149810\t13.560000\n1410150410\t13.620000\n1410151026\t13.750000\n1410151626\t13.750000\n1410152227\t13.620000\n1410152828\t13.750000\n1410153428\t13.940000\n1410154029\t14.250000\n1410154629\t14.500000\n1410155230\t14.620000\n1410155830\t14.690000\n1410156431\t14.690000\n1410157031\t14.810000\n1410157632\t15.000000\n1410158232\t15.060000\n1410158833\t15.120000\n1410159433\t15.120000\n1410160034\t15.060000\n1410160634\t15.190000\n1410161235\t15.190000\n1410161836\t15.120000\n1410162436\t15.120000\n1410163037\t15.380000\n1410163637\t15.500000\n1410164238\t15.560000\n1410164838\t15.620000\n1410165439\t15.750000\n1410166039\t16.000000\n1410166640\t15.940000\n1410167240\t15.880000\n1410167856\t15.880000\n1410168457\t15.880000\n1410169057\t16.000000\n1410169658\t16.120000\n1410170258\t16.120000\n1410170859\t16.120000\n1410171459\t16.190000\n1410172060\t16.380000\n1410172660\t16.500000\n1410173261\t16.310000\n1410173861\t16.190000\n1410174462\t16.190000\n1410175062\t16.120000\n1410175663\t16.060000\n1410176264\t16.060000\n1410176864\t16.060000\n1410177465\t16.120000\n1410178065\t16.060000\n1410178666\t16.060000\n1410179266\t16.060000\n1410179867\t16.060000\n1410180467\t16.060000\n1410181068\t16.120000\n1410181668\t16.060000\n1410182269\t16.000000\n1410182870\t16.000000\n1410183470\t15.940000\n1410184071\t15.940000\n1410184671\t16.000000\n1410185287\t15.940000\n1410185887\t15.940000\n1410186488\t15.940000\n1410187088\t15.880000\n1410187689\t15.940000\n1410188289\t16.000000\n1410188890\t16.000000\n1410189490\t16.000000\n1410190091\t15.940000\n1410190691\t15.880000\n1410191292\t15.810000\n1410191892\t15.750000\n1410192493\t15.750000\n1410193093\t15.810000\n1410193694\t15.810000\n1410194295\t15.880000\n1410194895\t16.000000\n1410195496\t16.120000\n1410196096\t16.060000\n1410196697\t15.750000\n1410197297\t15.440000\n1410197898\t15.250000\n1410198498\t15.060000\n1410199099\t15.060000\n1410199699\t15.000000\n1410200300\t14.880000\n1410200901\t14.750000\n1410201501\t14.560000\n1410202117\t14.500000\n1410202717\t14.440000\n1410203318\t14.190000\n1410203918\t14.000000\n1410204519\t14.000000\n1410205119\t13.880000\n1410205720\t13.750000\n1410206320\t13.750000\n1410206921\t13.310000\n1410207522\t12.620000\n1410208122\t12.620000\n1410208723\t12.810000\n1410209323\t13.060000\n1410209924\t13.060000\n1410210524\t13.120000\n1410211125\t13.190000\n1410211725\t13.120000\n1410212326\t13.120000\n1410212926\t13.120000\n1410213527\t13.120000\n1410214127\t13.000000\n1410214728\t13.120000\n1410215328\t12.810000\n1410215929\t12.750000\n1410216530\t12.940000\n1410217130\t12.880000\n1410217731\t13.060000\n1410218331\t13.190000\n1410218932\t13.190000\n1410219532\t13.250000\n1410220148\t13.250000\n1410220748\t13.190000\n1410221349\t13.250000\n1410221949\t13.120000\n1410222550\t13.250000\n1410223151\t12.940000\n1410223751\t13.120000\n1410224352\t13.120000\n1410224952\t13.060000\n1410225553\t13.000000\n1410226153\t12.620000\n1410226754\t12.750000\n1410227354\t12.880000\n1410227955\t12.880000\n1410228555\t12.880000\n1410229156\t12.940000\n1410229757\t13.000000\n1410230357\t12.880000\n1410230958\t12.810000\n1410231558\t12.620000\n1410232159\t12.500000\n1410232759\t12.440000\n1410233360\t12.310000\n1410233960\t12.060000\n1410234561\t11.810000\n1410235161\t11.810000\n1410235762\t11.750000\n1410236362\t11.560000\n1410236963\t11.380000\n1410237564\t11.380000\n1410238164\t11.440000\n1410238780\t11.440000\n1410239380\t11.500000\n1410239981\t11.620000\n1410240581\t11.880000\n1410241182\t12.000000\n1410241782\t12.250000\n1410242383\t12.310000\n1410242983\t12.380000\n1410243584\t12.380000\n1410244185\t12.440000\n1410244785\t12.620000\n1410245386\t12.750000\n1410245986\t12.880000\n1410246587\t13.120000\n1410247187\t13.380000\n1410247788\t13.620000\n1410248388\t13.940000\n1410248989\t14.250000\n1410249589\t14.500000\n1410250190\t14.190000\n1410250791\t14.120000\n1410251391\t14.310000\n1410251992\t14.560000\n1410252592\t14.880000\n1410253193\t15.000000\n1410253793\t15.250000\n1410254394\t15.560000\n1410254994\t16.250000\n1410255595\t16.120000\n1410256195\t15.560000\n1410256796\t15.750000\n1410257411\t16.120000\n1410258012\t15.620000\n1410258612\t15.500000\n1410259213\t15.380000\n1410259814\t15.190000\n1410260414\t15.060000\n1410261015\t14.880000\n1410261615\t15.440000\n1410262216\t16.310000\n1410262816\t15.810000\n1410263417\t15.620000\n1410264017\t16.120000\n1410264618\t16.690000\n1410265218\t16.620000\n1410265819\t15.880000\n1410266419\t15.500000\n1410267020\t15.250000\n1410267621\t14.940000\n1410268221\t14.690000\n1410268822\t14.810000\n1410269422\t14.880000\n1410270023\t15.000000\n1410270623\t14.750000\n1410271224\t14.310000\n1410271824\t14.310000\n1410272425\t14.190000\n1410273025\t14.190000\n1410273626\t14.310000\n1410274226\t14.380000\n1410274827\t14.310000\n1410275428\t14.310000\n1410276028\t14.310000\n1410276629\t14.380000\n1410277244\t14.310000\n1410277845\t14.250000\n1410278445\t14.250000\n1410279046\t14.120000\n1410279646\t14.060000\n1410280247\t13.940000\n1410280847\t13.940000\n1410281448\t13.880000\n1410282048\t13.810000\n1410282649\t13.810000\n1410283249\t13.750000\n1410283850\t13.690000\n1410284451\t13.620000\n1410285051\t13.620000\n1410285652\t13.620000\n1410286252\t13.500000\n1410286853\t13.440000\n1410287453\t13.440000\n1410288054\t13.440000\n1410288654\t13.250000\n1410289255\t13.060000\n1410289855\t12.940000\n1410290456\t12.810000\n1410291057\t12.750000\n1410291657\t12.560000\n1410292258\t12.560000\n1410292858\t12.500000\n1410293459\t12.440000\n1410294059\t12.310000\n1410294660\t12.310000\n1410295260\t12.310000\n1410295861\t12.190000\n1410296461\t12.190000\n1410297062\t12.060000\n1410297662\t11.940000\n1410298278\t11.750000\n1410298878\t11.750000\n1410299479\t11.940000\n1410300079\t11.940000\n1410300680\t11.940000\n1410301281\t11.880000\n1410301881\t11.810000\n1410302482\t11.810000\n1410303082\t11.810000\n1410303683\t11.690000\n1410304283\t11.620000\n1410304884\t11.620000\n1410305484\t11.560000\n1410306085\t11.440000\n1410306685\t11.120000\n1410307286\t11.060000\n1410307886\t10.940000\n1410308487\t11.060000\n1410309088\t11.250000\n1410309688\t11.250000\n1410310289\t11.250000\n1410310889\t11.120000\n1410311490\t10.810000\n1410312090\t10.060000\n1410312691\t9.560000\n1410313291\t9.880000\n1410313892\t10.120000\n1410314492\t9.940000\n1410315093\t9.880000\n1410315693\t10.000000\n1410316294\t9.810000\n1410316895\t9.190000\n1410317495\t9.560000\n1410318096\t9.620000\n1410318711\t9.560000\n1410319312\t9.560000\n1410319912\t9.620000\n1410320513\t9.560000\n1410321113\t9.380000\n1410321714\t9.380000\n1410322314\t9.380000\n1410322915\t9.380000\n1410323515\t9.190000\n1410324116\t8.880000\n1410324717\t9.060000\n1410325317\t9.190000\n1410325918\t9.560000\n1410326518\t9.940000\n1410327119\t10.190000\n1410327719\t10.380000\n1410328320\t10.560000\n1410328920\t10.750000\n1410329521\t11.000000\n1410330121\t11.310000\n1410330722\t11.500000\n1410331322\t11.560000\n1410331923\t11.810000\n1410332523\t12.250000\n1410333124\t12.440000\n1410333724\t12.750000\n1410334325\t13.060000\n1410334926\t13.250000\n1410335526\t13.380000\n1410336127\t13.380000\n1410336727\t13.380000\n1410337343\t13.620000\n1410337943\t13.560000\n1410338544\t13.620000\n1410339144\t13.880000\n1410339745\t14.440000\n1410340345\t15.250000\n1410340946\t15.810000\n1410341547\t16.120000\n1410342147\t15.750000\n1410342748\t15.120000\n1410343348\t15.440000\n1410343949\t15.880000\n1410344549\t15.810000\n1410345150\t15.250000\n1410345750\t15.690000\n1410346351\t16.310000\n1410346951\t16.560000\n1410347552\t16.690000\n1410348152\t16.940000\n1410348753\t17.190000\n1410349353\t17.310000\n1410349954\t17.440000\n1410350555\t17.620000\n1410351155\t17.810000\n1410351756\t17.880000\n1410352356\t17.940000\n1410352957\t18.250000\n1410353557\t18.310000\n1410354158\t18.560000\n1410354758\t18.690000\n1410355359\t18.810000\n1410355975\t18.750000\n1410356575\t18.940000\n1410357176\t18.940000\n1410357776\t19.000000\n1410358377\t18.060000\n1410358977\t18.810000\n1410359578\t19.060000\n1410360178\t19.310000\n1410360779\t18.690000\n1410361379\t18.000000\n1410361980\t17.940000\n1410362581\t18.440000\n1410363181\t18.560000\n1410363782\t18.620000\n1410364382\t18.620000\n1410364983\t18.500000\n1410365583\t18.380000\n1410366184\t18.190000\n1410366784\t18.060000\n1410367385\t18.060000\n1410367986\t18.060000\n1410368586\t17.880000\n1410369187\t17.440000\n1410369787\t17.060000\n1410370388\t16.810000\n1410370988\t16.560000\n1410371589\t16.380000\n1410372189\t16.120000\n1410372790\t15.940000\n1410373390\t15.690000\n1410373991\t15.380000\n1410374591\t15.250000\n1410375207\t15.190000\n1410375807\t15.000000\n1410376408\t14.810000\n1410377009\t14.690000\n1410377609\t14.500000\n1410378210\t14.440000\n1410378810\t14.310000\n1410379411\t14.380000\n1410380011\t14.310000\n1410380612\t14.190000\n1410381212\t14.120000\n1410381813\t14.060000\n1410382413\t13.940000\n1410383014\t13.690000\n1410383615\t13.500000\n1410384215\t13.440000\n1410384816\t13.310000\n1410385416\t13.000000\n1410386017\t13.120000\n1410386617\t13.060000\n1410387218\t13.060000\n1410387818\t12.940000\n1410388419\t12.750000\n1410389019\t12.620000\n1410389620\t12.440000\n1410390220\t12.440000\n1410390821\t12.250000\n1410391421\t11.880000\n1410392022\t11.750000\n1410392622\t11.750000\n1410393238\t11.620000\n1410393838\t11.500000\n1410394439\t11.440000\n1410395039\t11.310000\n1410395640\t11.250000\n1410396241\t11.060000\n1410396841\t10.690000\n1410397442\t10.690000\n1410398042\t10.620000\n1410398643\t10.560000\n1410399243\t10.620000\n1410399844\t10.250000\n1410400444\t9.750000\n1410401045\t9.620000\n1410401645\t9.310000\n1410402246\t9.750000\n1410402846\t9.690000\n1410403447\t9.750000\n1410404047\t9.690000\n1410404648\t9.560000\n1410405249\t9.060000\n1410405849\t9.120000\n1410406450\t8.810000\n1410407050\t8.690000\n1410407651\t8.500000\n1410408251\t8.750000\n1410408852\t8.690000\n1410409452\t8.440000\n1410410053\t8.620000\n1410410653\t8.500000\n1410411254\t8.690000\n1410411869\t8.560000\n1410412470\t9.060000\n1410413071\t8.750000\n1410413671\t8.750000\n1410414272\t8.880000\n1410414872\t9.000000\n1410415473\t9.310000\n1410416073\t9.440000\n1410416674\t9.560000\n1410417274\t9.940000\n1410417875\t10.380000\n1410418475\t10.690000\n1410419076\t10.940000\n1410419676\t11.250000\n1410420277\t11.560000\n1410420878\t11.880000\n1410421478\t11.880000\n1410422079\t12.310000\n1410422679\t12.810000\n1410423280\t13.250000\n1410423880\t13.690000\n1410424481\t14.000000\n1410425081\t14.380000\n1410425682\t14.750000\n1410426282\t15.120000\n1410426883\t15.440000\n1410427484\t15.810000\n1410428084\t16.000000\n1410428685\t16.310000\n1410429285\t16.440000\n1410429886\t16.620000\n1410430486\t16.810000\n1410431102\t16.940000\n1410431702\t17.060000\n1410432303\t17.250000\n1410432903\t17.440000\n1410433504\t17.620000\n1410434104\t17.690000\n1410434705\t17.810000\n1410435305\t17.810000\n1410435906\t17.750000\n1410436507\t17.940000\n1410437107\t18.060000\n1410437708\t18.190000\n1410438308\t18.190000\n1410438909\t18.440000\n1410439509\t18.560000\n1410440110\t18.690000\n1410440710\t18.880000\n1410441311\t19.060000\n1410441911\t19.250000\n1410442512\t19.560000\n1410443112\t19.560000\n1410443713\t19.690000\n1410444314\t19.750000\n1410444914\t20.060000\n1410445515\t20.060000\n1410446115\t20.000000\n1410446716\t20.000000\n1410447316\t20.190000\n1410447917\t20.190000\n1410448517\t20.440000\n1410449118\t20.310000\n1410449734\t19.940000\n1410450334\t19.810000\n1410450935\t19.440000\n1410451535\t19.250000\n1410452136\t18.940000\n1410452736\t18.620000\n1410453337\t18.250000\n1410453937\t18.000000\n1410454538\t17.750000\n1410455138\t17.440000\n1410455739\t17.000000\n1410456339\t16.560000\n1410456940\t16.310000\n1410457541\t16.000000\n1410458141\t15.810000\n1410458742\t15.690000\n1410459342\t15.500000\n1410459943\t15.250000\n1410460543\t15.060000\n1410461144\t14.880000\n1410461744\t14.620000\n1410462345\t14.440000\n1410462945\t14.380000\n1410463546\t14.120000\n1410464147\t14.060000\n1410464747\t13.940000\n1410465348\t13.880000\n1410465948\t13.880000\n1410466549\t13.750000\n1410467149\t13.690000\n1410467750\t13.500000\n1410468350\t13.440000\n1410468966\t13.380000\n1410469566\t13.310000\n1410470167\t13.190000\n1410470768\t13.120000\n1410471368\t13.120000\n1410471969\t13.000000\n1410472569\t12.750000\n1410473170\t12.690000\n1410473770\t12.620000\n1410474371\t12.440000\n1410474971\t12.380000\n1410475572\t12.310000\n1410476172\t12.310000\n1410476773\t12.250000\n1410477374\t11.940000\n1410477974\t11.940000\n1410478575\t11.810000\n1410479175\t11.620000\n1410479776\t11.690000\n1410480376\t11.560000\n1410480977\t11.380000\n1410481577\t11.250000\n1410482178\t11.120000\n1410482778\t11.250000\n1410483379\t11.120000\n1410483979\t11.060000\n1410484580\t11.000000\n1410485181\t10.810000\n1410485781\t10.500000\n1410486382\t10.560000\n1410486997\t10.690000\n1410487598\t10.620000\n1410488198\t10.620000\n1410488799\t10.620000\n1410489399\t10.500000\n1410490000\t10.380000\n1410490600\t10.380000\n1410491201\t9.690000\n1410491802\t9.810000\n1410492402\t10.000000\n1410493003\t10.120000\n1410493603\t10.120000\n1410494204\t10.120000\n1410494804\t10.120000\n1410495405\t10.120000\n1410496005\t9.690000\n1410496606\t9.810000\n1410497206\t10.000000\n1410497807\t10.000000\n1410498408\t10.060000\n1410499008\t10.120000\n1410499609\t10.190000\n1410500209\t10.190000\n1410500810\t10.310000\n1410501410\t10.500000\n1410502011\t10.690000\n1410502611\t10.940000\n1410503212\t11.190000\n1410503812\t11.690000\n1410504413\t12.000000\n1410505028\t12.120000\n1410505629\t12.310000\n1410506229\t12.560000\n1410506830\t13.000000\n1410507431\t13.380000\n1410508031\t13.690000\n1410508632\t14.310000\n1410509232\t14.810000\n1410509833\t15.000000\n1410510433\t15.560000\n1410511034\t16.120000\n1410511634\t16.940000\n1410512235\t17.310000\n1410512835\t17.500000\n1410513436\t17.440000\n1410514036\t17.120000\n1410514637\t17.190000\n1410515237\t17.250000\n1410515838\t17.250000\n1410516438\t17.310000\n1410517039\t17.500000\n1410517639\t17.690000\n1410518240\t17.880000\n1410518841\t18.000000\n1410519441\t18.500000\n1410520042\t18.380000\n1410520642\t18.560000\n1410521243\t18.620000\n1410521843\t18.560000\n1410522444\t18.620000\n1410523044\t18.750000\n1410523660\t18.810000\n1410524260\t18.690000\n1410524861\t18.940000\n1410525461\t18.880000\n1410526062\t19.060000\n1410526662\t19.060000\n1410527263\t19.190000\n1410527863\t19.060000\n1410528464\t18.620000\n1410529065\t18.690000\n1410529665\t18.440000\n1410530266\t18.120000\n1410530866\t18.060000\n1410531467\t17.880000\n1410532067\t17.750000\n1410532668\t17.750000\n1410533268\t17.620000\n1410533869\t17.560000\n1410534469\t17.750000\n1410535070\t17.690000\n1410535670\t17.620000\n1410536271\t17.380000\n1410536871\t17.190000\n1410537472\t17.000000\n1410538073\t16.880000\n1410538673\t16.750000\n1410539274\t16.620000\n1410539874\t16.500000\n1410540475\t16.380000\n1410541075\t16.310000\n1410541676\t16.190000\n1410542291\t16.000000\n1410542892\t15.880000\n1410543492\t15.810000\n1410544093\t15.690000\n1410544693\t15.560000\n1410545294\t15.500000\n1410545894\t15.440000\n1410546495\t15.380000\n1410547096\t15.250000\n1410547696\t15.190000\n1410548297\t15.060000\n1410548897\t15.000000\n1410549498\t14.940000\n1410550098\t14.880000\n1410550699\t14.810000\n1410551299\t14.880000\n1410551900\t14.810000\n1410552500\t14.880000\n1410553101\t14.880000\n1410553701\t14.810000\n1410554302\t14.810000\n1410554903\t14.690000\n1410555503\t14.560000\n1410556104\t14.310000\n1410556704\t14.190000\n1410557305\t14.190000\n1410557905\t14.060000\n1410558506\t13.940000\n1410559106\t13.880000\n1410559707\t13.880000\n1410560322\t13.750000\n1410560923\t13.620000\n1410561524\t13.620000\n1410562124\t13.690000\n1410562725\t13.620000\n1410563325\t13.620000\n1410563926\t13.620000\n1410564526\t13.690000\n1410565127\t13.690000\n1410565727\t13.690000\n1410566328\t13.620000\n1410566928\t13.620000\n1410567529\t13.560000\n1410568129\t13.500000\n1410568730\t13.500000\n1410569330\t13.380000\n1410569931\t13.310000\n1410570531\t13.190000\n1410571132\t13.250000\n1410571733\t13.250000\n1410572333\t13.250000\n1410572934\t13.120000\n1410573534\t12.940000\n1410574135\t12.810000\n1410574735\t12.690000\n1410575336\t12.620000\n1410575951\t12.560000\n1410576552\t12.560000\n1410577152\t12.560000\n1410577753\t12.620000\n1410578353\t12.690000\n1410578954\t12.750000\n1410579555\t12.810000\n1410580155\t12.810000\n1410580756\t12.810000\n1410581356\t12.750000\n1410581957\t12.620000\n1410582557\t12.690000\n1410583158\t12.690000\n1410583758\t12.690000\n1410584359\t12.810000\n1410584959\t12.810000\n1410585560\t12.750000\n1410586160\t12.750000\n1410586761\t12.810000\n1410587362\t12.750000\n1410587962\t12.810000\n1410588563\t12.810000\n1410589163\t13.000000\n1410589764\t13.060000\n1410590364\t13.000000\n1410590965\t13.060000\n1410591565\t13.250000\n1410592166\t13.310000\n1410592766\t13.440000\n1410593367\t13.380000\n1410593968\t13.380000\n1410594583\t13.500000\n1410595184\t13.440000\n1410595784\t13.500000\n1410596385\t13.750000\n1410596985\t13.880000\n1410597586\t14.190000\n1410598186\t14.810000\n1410598787\t15.190000\n1410599387\t15.500000\n1410599988\t15.380000\n1410600589\t15.690000\n1410601189\t15.620000\n1410601790\t16.120000\n1410602390\t16.560000\n1410602991\t15.880000\n1410603591\t15.440000\n1410604192\t15.880000\n1410604792\t16.500000\n1410605393\t16.500000\n1410605993\t16.810000\n1410606594\t16.880000\n1410607194\t16.940000\n1410607795\t17.120000\n1410608395\t17.190000\n1410608996\t17.250000\n1410609597\t17.310000\n1410610197\t17.380000\n1410610798\t17.560000\n1410611398\t17.620000\n1410611999\t17.380000\n1410612599\t17.620000\n1410613215\t17.750000\n1410613815\t18.000000\n1410614416\t18.060000\n1410615016\t18.250000\n1410615617\t18.500000\n1410616217\t18.620000\n1410616818\t18.750000\n1410617418\t18.620000\n1410618019\t18.750000\n1410618620\t18.880000\n1410619220\t18.880000\n1410619821\t18.560000\n1410620421\t18.750000\n1410621022\t18.750000\n1410621622\t18.690000\n1410622223\t18.690000\n1410622823\t18.560000\n1410623424\t18.440000\n1410624024\t18.250000\n1410624625\t18.060000\n1410625225\t17.880000\n1410625826\t17.750000\n1410626426\t17.440000\n1410627027\t17.190000\n1410627627\t16.750000\n1410628228\t16.250000\n1410628829\t16.000000\n1410629429\t15.620000\n1410630030\t15.380000\n1410630630\t15.120000\n1410631246\t14.940000\n1410631846\t14.810000\n1410632447\t14.560000\n1410633047\t14.380000\n1410633648\t14.190000\n1410634248\t14.000000\n1410634849\t13.620000\n1410635450\t13.560000\n1410636050\t13.440000\n1410636651\t13.560000\n1410637251\t13.380000\n1410637852\t13.380000\n1410638452\t13.060000\n1410639053\t12.880000\n1410639653\t12.810000\n1410640254\t12.690000\n1410640854\t12.380000\n1410641455\t11.880000\n1410642055\t11.940000\n1410642656\t11.940000\n1410643256\t12.000000\n1410643857\t11.810000\n1410644458\t11.690000\n1410645058\t11.620000\n1410645659\t11.500000\n1410646259\t11.250000\n1410646860\t11.190000\n1410647460\t11.120000\n1410648061\t10.750000\n1410648661\t10.620000\n1410649262\t10.440000\n1410649877\t10.620000\n1410650478\t10.500000\n1410651078\t10.560000\n1410651679\t10.310000\n1410652279\t10.440000\n1410652880\t10.500000\n1410653481\t10.250000\n1410654081\t10.190000\n1410654682\t9.940000\n1410655282\t10.000000\n1410655883\t9.690000\n1410656483\t9.190000\n1410657084\t8.690000\n1410657684\t8.620000\n1410658285\t8.620000\n1410658885\t8.880000\n1410659486\t8.880000\n1410660086\t9.000000\n1410660687\t9.120000\n1410661288\t8.690000\n1410661888\t8.880000\n1410662489\t8.620000\n1410663089\t7.750000\n1410663690\t7.690000\n1410664290\t7.810000\n1410664891\t7.750000\n1410665491\t8.120000\n1410666092\t8.440000\n1410666692\t8.500000\n1410667293\t8.440000\n1410667894\t8.310000\n1410668494\t8.500000\n1410669110\t8.620000\n1410669710\t8.750000\n1410670311\t8.560000\n1410670911\t8.500000\n1410671512\t8.380000\n1410672112\t8.880000\n1410672713\t8.810000\n1410673313\t8.940000\n1410673914\t9.060000\n1410674514\t9.440000\n1410675115\t9.750000\n1410675715\t10.060000\n1410676316\t10.310000\n1410676917\t10.690000\n1410677517\t10.810000\n1410678118\t11.190000\n1410678718\t11.440000\n1410679319\t11.690000\n1410679919\t12.000000\n1410680520\t12.190000\n1410681120\t12.310000\n1410681721\t12.620000\n1410682321\t12.880000\n1410682922\t13.880000\n1410683522\t14.250000\n1410684123\t13.810000\n1410684723\t14.060000\n1410685324\t14.560000\n1410685925\t14.880000\n1410686525\t15.190000\n1410687126\t15.440000\n1410687726\t15.690000\n1410688327\t15.810000\n1410688927\t16.000000\n1410689528\t16.060000\n1410690143\t16.310000\n1410690744\t16.500000\n1410691344\t16.500000\n1410691945\t16.620000\n1410692546\t16.810000\n1410693146\t16.940000\n1410693747\t17.120000\n1410694347\t17.250000\n1410694948\t17.380000\n1410695548\t17.380000\n1410696149\t17.500000\n1410696749\t17.620000\n1410697350\t17.810000\n1410697950\t18.000000\n1410698551\t18.000000\n1410699151\t18.000000\n1410699752\t18.190000\n1410700352\t18.250000\n1410700953\t18.440000\n1410701554\t18.500000\n1410702154\t18.750000\n1410702755\t18.880000\n1410703355\t19.000000\n1410703956\t19.000000\n1410704556\t18.940000\n1410705157\t19.000000\n1410705757\t19.000000\n1410706358\t19.000000\n1410706958\t18.940000\n1410707559\t18.940000\n1410708159\t18.810000\n1410708760\t18.620000\n1410709361\t18.500000\n1410709961\t18.440000\n1410710577\t18.190000\n1410711177\t18.000000\n1410711778\t17.880000\n1410712378\t17.620000\n1410712979\t17.380000\n1410713579\t16.940000\n1410714180\t16.310000\n1410714780\t15.880000\n1410715381\t15.500000\n1410715981\t15.190000\n1410716582\t14.810000\n1410717183\t14.690000\n1410717783\t14.560000\n1410718384\t14.380000\n1410718984\t14.190000\n1410719585\t13.940000\n1410720185\t13.690000\n1410720786\t13.380000\n1410721386\t13.250000\n1410721987\t13.120000\n1410722587\t13.060000\n1410723188\t12.690000\n1410723788\t12.500000\n1410724389\t11.880000\n1410724990\t12.120000\n1410725590\t12.310000\n1410726191\t12.250000\n1410726791\t12.060000\n1410727392\t11.810000\n1410727992\t11.690000\n1410728593\t11.620000\n1410729193\t11.560000\n1410729794\t11.560000\n1410730409\t11.380000\n1410731010\t11.250000\n1410731611\t11.000000\n1410732211\t10.880000\n1410732812\t10.810000\n1410733412\t10.690000\n1410734013\t10.560000\n1410734613\t10.310000\n1410735214\t10.190000\n1410735814\t9.940000\n1410736415\t9.750000\n1410737015\t9.620000\n1410737616\t9.560000\n1410738216\t9.190000\n1410738817\t9.120000\n1410739417\t9.060000\n1410740018\t9.060000\n1410740619\t9.060000\n1410741219\t9.250000\n1410741820\t9.120000\n1410742420\t8.500000\n1410743021\t8.500000\n1410743621\t8.440000\n1410744222\t8.620000\n1410744822\t8.500000\n1410745423\t8.690000\n1410746023\t8.310000\n1410746624\t8.440000\n1410747224\t7.940000\n1410747825\t7.880000\n1410748441\t7.620000\n1410749041\t7.690000\n1410749642\t7.620000\n1410750242\t7.620000\n1410750843\t7.810000\n1410751443\t6.810000\n1410752044\t6.690000\n1410752644\t6.750000\n1410753245\t6.750000\n1410753845\t6.250000\n1410754446\t6.250000\n1410755046\t6.750000\n1410755647\t7.250000\n1410756247\t7.190000\n1410756848\t6.690000\n1410757448\t7.060000\n1410758049\t7.060000\n1410758650\t7.000000\n1410759250\t7.250000\n1410759851\t7.440000\n1410760451\t7.690000\n1410761052\t8.060000\n1410761652\t8.060000\n1410762253\t8.310000\n1410762853\t8.690000\n1410763454\t9.000000\n1410764054\t9.310000\n1410764655\t9.750000\n1410765255\t10.120000\n1410765856\t10.500000\n1410766456\t10.940000\n1410767072\t11.500000\n1410767673\t12.120000\n1410768273\t12.560000\n1410768874\t13.000000\n1410769474\t13.380000\n1410770075\t13.560000\n1410770675\t13.750000\n1410771276\t13.940000\n1410771876\t14.060000\n1410772477\t14.190000\n1410773077\t14.060000\n1410773678\t14.440000\n1410774279\t14.940000\n1410774879\t15.560000\n1410775480\t15.880000\n1410776080\t16.000000\n1410776681\t16.120000\n1410777281\t16.500000\n1410777882\t16.440000\n1410778482\t16.380000\n1410779083\t16.190000\n1410779683\t16.440000\n1410780284\t16.750000\n1410780884\t17.190000\n1410781485\t17.440000\n1410782085\t17.690000\n1410782686\t17.810000\n1410783287\t17.940000\n1410783887\t18.120000\n1410784488\t18.190000\n1410785103\t18.440000\n1410785704\t18.500000\n1410786304\t18.310000\n1410786905\t18.120000\n1410787505\t18.060000\n1410788106\t18.190000\n1410788706\t18.310000\n1410789307\t18.120000\n1410789907\t18.620000\n1410790508\t18.690000\n1410791109\t18.620000\n1410791709\t18.880000\n1410792310\t19.000000\n1410792910\t18.940000\n1410793511\t18.690000\n1410794111\t18.810000\n1410794712\t18.810000\n1410795312\t18.690000\n1410795913\t18.620000\n1410796513\t18.440000\n1410797114\t18.190000\n1410797714\t17.940000\n1410798315\t17.690000\n1410798915\t17.440000\n1410799516\t17.190000\n1410800116\t16.750000\n1410800717\t16.310000\n1410801317\t15.880000\n1410801918\t15.560000\n1410802518\t15.310000\n1410803134\t15.120000\n1410803734\t14.810000\n1410804335\t14.440000\n1410804936\t14.120000\n1410805536\t13.940000\n1410806137\t13.880000\n1410806737\t13.690000\n1410807338\t13.560000\n1410807938\t13.310000\n1410808539\t13.250000\n1410809139\t12.940000\n1410809740\t13.000000\n1410810341\t12.880000\n1410810941\t12.810000\n1410811542\t12.690000\n1410812142\t12.440000\n1410812743\t12.000000\n1410813343\t12.060000\n1410813944\t12.060000\n1410814544\t11.940000\n1410815145\t11.880000\n1410815745\t11.810000\n1410816346\t11.750000\n1410816946\t11.310000\n1410817547\t11.380000\n1410818147\t11.190000\n1410818748\t10.880000\n1410819348\t11.000000\n1410819949\t10.880000\n1410820565\t10.880000\n1410821165\t10.750000\n1410821766\t10.810000\n1410822366\t10.690000\n1410822967\t10.620000\n1410823567\t10.440000\n1410824168\t10.380000\n1410824768\t10.310000\n1410825369\t9.940000\n1410825969\t9.940000\n1410826570\t9.750000\n1410827170\t9.310000\n1410827771\t9.120000\n1410828371\t9.190000\n1410828972\t9.440000\n1410829573\t9.690000\n1410830173\t9.620000\n1410830774\t9.500000\n1410831374\t9.500000\n1410831975\t9.310000\n1410832575\t9.120000\n1410833176\t9.060000\n1410833776\t8.880000\n1410834377\t9.060000\n1410834977\t9.000000\n1410835578\t8.940000\n1410836179\t9.060000\n1410836779\t9.000000\n1410837380\t9.060000\n1410837980\t9.190000\n1410838596\t9.190000\n1410839196\t8.810000\n1410839797\t8.620000\n1410840397\t8.560000\n1410840998\t8.440000\n1410841599\t8.310000\n1410842199\t8.310000\n1410842800\t8.310000\n1410843400\t7.940000\n1410844001\t7.940000\n1410844601\t8.380000\n1410845202\t8.560000\n1410845802\t8.500000\n1410846403\t8.190000\n1410847003\t8.310000\n1410847604\t8.310000\n1410848204\t8.880000\n1410848805\t9.120000\n1410849406\t9.380000\n1410850006\t9.560000\n1410850607\t9.750000\n1410851207\t10.120000\n1410851808\t10.690000\n1410852408\t11.190000\n1410853009\t11.500000\n1410853609\t11.880000\n1410854210\t12.250000\n1410854825\t12.810000\n1410855426\t13.190000\n1410856026\t13.620000\n1410856627\t14.000000\n1410857228\t14.250000\n1410857828\t14.560000\n1410858429\t14.880000\n1410859029\t15.310000\n1410859630\t15.620000\n1410860230\t15.810000\n1410860831\t16.120000\n1410861431\t16.380000\n1410862032\t16.620000\n1410862632\t16.750000\n1410863233\t16.940000\n1410863834\t17.060000\n1410864434\t17.250000\n1410865035\t17.560000\n1410865635\t17.690000\n1410866236\t17.880000\n1410866836\t18.060000\n1410867437\t18.120000\n1410868037\t17.880000\n1410868638\t18.000000\n1410869239\t18.250000\n1410869839\t18.310000\n1410870440\t18.500000\n1410871040\t18.380000\n1410871641\t18.310000\n1410872241\t18.120000\n1410872842\t18.250000\n1410873457\t18.380000\n1410874058\t18.440000\n1410874658\t18.120000\n1410875259\t17.940000\n1410875860\t18.250000\n1410876460\t18.620000\n1410877061\t18.940000\n1410877661\t18.060000\n1410878262\t18.120000\n1410878862\t18.190000\n1410879463\t18.310000\n1410880063\t18.440000\n1410880664\t18.560000\n1410881264\t18.560000\n1410881865\t18.560000\n1410882465\t18.250000\n1410883066\t18.060000\n1410883666\t17.810000\n1410884267\t17.500000\n1410884868\t17.250000\n1410885468\t16.880000\n1410886069\t16.500000\n1410886669\t15.940000\n1410887270\t15.500000\n1410887870\t15.120000\n1410888471\t14.810000\n1410889071\t14.560000\n1410889672\t14.380000\n1410890287\t13.940000\n1410890888\t13.620000\n1410891488\t13.440000\n1410892089\t13.380000\n1410892689\t13.000000\n1410893290\t12.880000\n1410893891\t12.690000\n1410894491\t12.380000\n1410895092\t12.310000\n1410895692\t12.060000\n1410896293\t11.810000\n1410896893\t11.620000\n1410897494\t11.750000\n1410898094\t11.560000\n1410898695\t11.620000\n1410899295\t11.440000\n1410899896\t11.310000\n1410900496\t11.250000\n1410901097\t11.250000\n1410901698\t10.880000\n1410902298\t10.690000\n1410902899\t10.690000\n1410903499\t10.560000\n1410904100\t10.500000\n1410904700\t10.440000\n1410905301\t10.560000\n1410905901\t10.250000\n1410906502\t10.120000\n1410907117\t10.120000\n1410907718\t10.120000\n1410908318\t10.120000\n1410908919\t9.880000\n1410909520\t9.190000\n1410910120\t9.380000\n1410910721\t9.560000\n1410911321\t9.380000\n1410911922\t8.810000\n1410912522\t8.440000\n1410913123\t8.190000\n1410913723\t7.940000\n1410914324\t8.060000\n1410914924\t7.750000\n1410915525\t7.810000\n1410916125\t7.810000\n1410916726\t7.690000\n1410917327\t7.250000\n1410917927\t7.380000\n1410918528\t7.310000\n1410919128\t7.380000\n1410919729\t7.120000\n1410920329\t7.190000\n1410920930\t7.060000\n1410921530\t7.060000\n1410922131\t7.000000\n1410922731\t6.810000\n1410923332\t6.750000\n1410923932\t6.810000\n1410924533\t6.750000\n1410925133\t6.620000\n1410925749\t6.560000\n1410926349\t6.440000\n1410926950\t6.000000\n1410927550\t6.500000\n1410928151\t6.440000\n1410928752\t6.620000\n1410929352\t6.440000\n1410929953\t6.380000\n1410930553\t6.440000\n1410931154\t6.560000\n1410931754\t6.500000\n1410932355\t6.750000\n1410932955\t7.120000\n1410933556\t7.310000\n1410934156\t7.690000\n1410934757\t7.810000\n1410935358\t8.190000\n1410935958\t8.120000\n1410936559\t8.620000\n1410937159\t9.000000\n1410937760\t9.250000\n1410938360\t9.620000\n1410938961\t10.060000\n1410939561\t10.440000\n1410940162\t10.880000\n1410940762\t11.190000\n1410941363\t11.380000\n1410941963\t11.690000\n1410942564\t11.750000\n1410943165\t11.750000\n1410943780\t12.190000\n1410944381\t12.880000\n1410944981\t13.310000\n1410945582\t13.380000\n1410946182\t13.880000\n1410946783\t14.310000\n1410947383\t14.310000\n1410947984\t14.310000\n1410948584\t14.620000\n1410949185\t15.250000\n1410949786\t15.380000\n1410950386\t15.880000\n1410950987\t16.000000\n1410951587\t16.250000\n1410952188\t15.940000\n1410952788\t15.810000\n1410953389\t15.880000\n1410953989\t15.940000\n1410954590\t15.940000\n1410955190\t15.940000\n1410955791\t16.190000\n1410956391\t16.500000\n1410956992\t16.690000\n1410957592\t17.060000\n1410958193\t16.690000\n1410958794\t16.440000\n1410959394\t17.190000\n1410959995\t17.250000\n1410960595\t17.500000\n1410961196\t17.810000\n1410961796\t17.940000\n1410962412\t18.060000\n1410963012\t17.750000\n1410963613\t17.000000\n1410964213\t17.310000\n1410964814\t16.880000\n1410965414\t17.440000\n1410966015\t17.810000\n1410966616\t17.880000\n1410967216\t17.810000\n1410967817\t17.690000\n1410968417\t17.560000\n1410969018\t17.440000\n1410969618\t17.310000\n1410970219\t17.120000\n1410970819\t16.880000\n1410971420\t16.690000\n1410972020\t16.310000\n1410972621\t15.810000\n1410973222\t15.310000\n1410973822\t15.060000\n1410974423\t14.810000\n1410975023\t14.440000\n1410975624\t14.250000\n1410976224\t14.120000\n1410976825\t14.120000\n1410977425\t14.060000\n1410978026\t13.940000\n1410978626\t13.810000\n1410979227\t13.620000\n1410979827\t13.380000\n1410980428\t13.120000\n1410981029\t12.940000\n1410981644\t12.810000\n1410982245\t12.750000\n1410982845\t12.620000\n1410983446\t12.440000\n1410984046\t12.380000\n1410984647\t12.190000\n1410985247\t12.060000\n1410985848\t12.000000\n1410986448\t11.940000\n1410987049\t11.880000\n1410987649\t11.880000\n1410988250\t11.880000\n1410988850\t11.810000\n1410989451\t11.810000\n1410990051\t11.620000\n1410990652\t11.500000\n1410991252\t11.440000\n1410991853\t11.500000\n1410992453\t11.380000\n1410993054\t11.250000\n1410993655\t11.190000\n1410994255\t11.190000\n1410994856\t11.190000\n1410995456\t11.060000\n1410996057\t10.940000\n1410996657\t10.880000\n1410997258\t10.880000\n1410997858\t10.880000\n1410998459\t11.000000\n1410999059\t11.060000\n1410999675\t10.880000\n1411000276\t10.880000\n1411000876\t10.690000\n1411001477\t10.380000\n1411002077\t10.310000\n1411002678\t10.000000\n1411003278\t9.620000\n1411003879\t9.560000\n1411004479\t9.560000\n1411005080\t9.440000\n1411005680\t9.310000\n1411006281\t9.250000\n1411006882\t8.810000\n1411007482\t8.880000\n1411008083\t8.880000\n1411008683\t8.750000\n1411009284\t8.380000\n1411009884\t8.560000\n1411010485\t8.380000\n1411011085\t8.310000\n1411011686\t8.500000\n1411012287\t8.440000\n1411012887\t8.310000\n1411013488\t8.500000\n1411014088\t8.750000\n1411014689\t8.810000\n1411015289\t8.880000\n1411015890\t8.880000\n1411016490\t9.000000\n1411017091\t9.060000\n1411017706\t9.060000\n1411018307\t9.120000\n1411018907\t9.190000\n1411019508\t9.190000\n1411020109\t9.310000\n1411020709\t9.310000\n1411021310\t9.440000\n1411021910\t9.560000\n1411022511\t9.620000\n1411023111\t9.690000\n1411023712\t9.880000\n1411024312\t10.060000\n1411024913\t10.120000\n1411025513\t10.310000\n1411026114\t10.440000\n1411026714\t10.500000\n1411027315\t10.620000\n1411027915\t10.750000\n1411028516\t10.940000\n1411029116\t11.060000\n1411029717\t10.940000\n1411030317\t11.190000\n1411030918\t11.440000\n1411031518\t11.750000\n1411032119\t11.940000\n1411032720\t11.940000\n1411033320\t12.000000\n1411033921\t12.060000\n1411034521\t12.380000\n1411035122\t12.500000\n1411035722\t12.690000\n1411036323\t12.690000\n1411036938\t12.940000\n1411037539\t13.250000\n1411038139\t13.250000\n1411038740\t13.560000\n1411039340\t14.190000\n1411039941\t14.380000\n1411040541\t14.620000\n1411041142\t15.120000\n1411041743\t15.380000\n1411042343\t15.690000\n1411042944\t15.190000\n1411043544\t15.690000\n1411044145\t16.120000\n1411044745\t16.380000\n1411045346\t16.690000\n1411045947\t16.810000\n1411046547\t17.000000\n1411047148\t17.000000\n1411047748\t17.120000\n1411048349\t17.440000\n1411048949\t17.560000\n1411049550\t17.690000\n1411050150\t17.750000\n1411050751\t17.750000\n1411051351\t17.750000\n1411051952\t17.690000\n1411052552\t17.750000\n1411053153\t17.620000\n1411053753\t17.560000\n1411054354\t17.380000\n1411054969\t17.310000\n1411055570\t17.190000\n1411056170\t17.000000\n1411056771\t16.810000\n1411057371\t16.560000\n1411057972\t16.310000\n1411058573\t15.940000\n1411059173\t15.310000\n1411059774\t14.880000\n1411060374\t14.620000\n1411060975\t14.310000\n1411061575\t14.060000\n1411062176\t13.810000\n1411062776\t13.500000\n1411063377\t13.250000\n1411063977\t13.250000\n1411064578\t13.120000\n1411065178\t13.000000\n1411065779\t12.940000\n1411066380\t12.810000\n1411066980\t12.750000\n1411067581\t12.690000\n1411068181\t12.380000\n1411068782\t12.060000\n1411069382\t11.750000\n1411069983\t11.620000\n1411070583\t11.620000\n1411071184\t11.500000\n1411071784\t11.380000\n1411072385\t11.250000\n1411072985\t11.120000\n1411073586\t11.000000\n1411074187\t10.810000\n1411074787\t10.810000\n1411075388\t10.560000\n1411075988\t10.500000\n1411076604\t10.440000\n1411077204\t10.310000\n1411077805\t10.190000\n1411078405\t10.190000\n1411079006\t10.120000\n1411079606\t10.190000\n1411080207\t10.250000\n1411080807\t10.310000\n1411081408\t10.310000\n1411082009\t9.940000\n1411082609\t9.500000\n1411083210\t9.500000\n1411083810\t9.380000\n1411084411\t9.380000\n1411085011\t9.310000\n1411085612\t9.250000\n1411086212\t9.060000\n1411086813\t8.560000\n1411087413\t8.380000\n1411088014\t8.310000\n1411088614\t8.190000\n1411089215\t8.250000\n1411089815\t7.690000\n1411090416\t7.380000\n1411091016\t7.880000\n1411091617\t8.000000\n1411092218\t8.060000\n1411092818\t8.000000\n1411093419\t8.000000\n1411094019\t7.940000\n1411094620\t7.940000\n1411095220\t7.750000\n1411095821\t7.810000\n1411096421\t7.750000\n1411097037\t7.690000\n1411097637\t7.750000\n1411098238\t7.810000\n1411098838\t7.880000\n1411099439\t8.000000\n1411100039\t8.060000\n1411100640\t8.120000\n1411101241\t8.120000\n1411101841\t7.750000\n1411102442\t8.190000\n1411103042\t8.440000\n1411103643\t8.500000\n1411104243\t8.250000\n1411104844\t8.500000\n1411105444\t8.750000\n1411106045\t8.940000\n1411106645\t9.060000\n1411107246\t9.060000\n1411107847\t9.000000\n1411108447\t9.250000\n1411109048\t9.690000\n1411109648\t9.940000\n1411110249\t10.190000\n1411110849\t10.250000\n1411111450\t10.310000\n1411112050\t10.620000\n1411112651\t10.880000\n1411113251\t10.810000\n1411113852\t11.120000\n1411114453\t11.380000\n1411115053\t11.500000\n1411115654\t11.620000\n1411116254\t11.560000\n1411116870\t11.380000\n1411117470\t11.690000\n1411118071\t11.750000\n1411118671\t11.750000\n1411119272\t12.000000\n1411119872\t12.380000\n1411120473\t12.620000\n1411121074\t13.190000\n1411121674\t13.750000\n1411122275\t13.810000\n1411122875\t14.120000\n1411123476\t14.250000\n1411124076\t14.440000\n1411124677\t14.880000\n1411125277\t15.060000\n1411125878\t15.250000\n1411126478\t15.380000\n1411127079\t15.620000\n1411127680\t15.940000\n1411128280\t16.060000\n1411128881\t16.250000\n1411129481\t16.380000\n1411130082\t16.500000\n1411130682\t16.620000\n1411131283\t16.750000\n1411131883\t16.880000\n1411132484\t17.060000\n1411133084\t17.120000\n1411133685\t17.310000\n1411134285\t17.440000\n1411134886\t17.500000\n1411135501\t17.690000\n1411136102\t17.750000\n1411136703\t17.810000\n1411137303\t17.810000\n1411137904\t17.750000\n1411138504\t17.750000\n1411139105\t17.690000\n1411139705\t17.560000\n1411140306\t17.440000\n1411140906\t17.310000\n1411141507\t17.120000\n1411142107\t16.880000\n1411142708\t16.560000\n1411143308\t16.310000\n1411143909\t16.060000\n1411144510\t15.690000\n1411145110\t15.250000\n1411145711\t14.880000\n1411146311\t14.500000\n1411146912\t14.120000\n1411147512\t13.940000\n1411148113\t13.750000\n1411148713\t13.500000\n1411149314\t13.190000\n1411149914\t13.060000\n1411150515\t12.690000\n1411151116\t12.620000\n1411151716\t12.310000\n1411152317\t12.310000\n1411152917\t12.250000\n1411153518\t12.000000\n1411154118\t11.880000\n1411154734\t11.750000\n1411155334\t11.690000\n1411155935\t11.560000\n1411156535\t11.380000\n1411157136\t11.250000\n1411157736\t11.120000\n1411158337\t11.060000\n1411158938\t11.000000\n1411159538\t10.940000\n1411160139\t10.810000\n1411160739\t10.560000\n1411161340\t10.440000\n1411161940\t10.190000\n1411162541\t10.120000\n1411163141\t10.060000\n1411163742\t10.000000\n1411164342\t10.060000\n1411164943\t9.810000\n1411165544\t9.620000\n1411166144\t9.690000\n1411166745\t9.560000\n1411167345\t9.440000\n1411167946\t9.380000\n1411168546\t9.190000\n1411169147\t9.000000\n1411169747\t8.810000\n1411170348\t8.690000\n1411170948\t8.750000\n1411171549\t8.810000\n1411172149\t8.620000\n1411172750\t8.690000\n1411173365\t8.560000\n1411173966\t8.750000\n1411174566\t8.190000\n1411175167\t8.250000\n1411175768\t8.310000\n1411176368\t8.560000\n1411176969\t8.060000\n1411177569\t8.060000\n1411178170\t8.120000\n1411178770\t8.250000\n1411179371\t8.440000\n1411179971\t8.380000\n1411180572\t8.250000\n1411181172\t8.120000\n1411181773\t7.810000\n1411182373\t8.000000\n1411182974\t8.250000\n1411183574\t8.310000\n1411184175\t8.620000\n1411184776\t8.380000\n1411185376\t8.310000\n1411185977\t8.440000\n1411186577\t8.500000\n1411187178\t8.690000\n1411187778\t8.690000\n1411188379\t9.000000\n1411188979\t9.060000\n1411189580\t9.190000\n1411190181\t9.380000\n1411190781\t9.440000\n1411191382\t9.500000\n1411191997\t9.690000\n1411192598\t9.810000\n1411193198\t9.940000\n1411193799\t10.060000\n1411194399\t10.120000\n1411195000\t10.190000\n1411195600\t10.310000\n1411196201\t10.440000\n1411196801\t10.690000\n1411197402\t10.880000\n1411198003\t11.000000\n1411198603\t11.190000\n1411199204\t11.440000\n1411199804\t11.620000\n1411200405\t11.810000\n1411201005\t11.880000\n1411201606\t12.000000\n1411202206\t12.000000\n1411202807\t12.190000\n1411203407\t12.310000\n1411204008\t12.440000\n1411204608\t12.560000\n1411205209\t12.690000\n1411205810\t12.810000\n1411206410\t12.750000\n1411207011\t12.810000\n1411207611\t12.940000\n1411208212\t13.000000\n1411208812\t13.000000\n1411209413\t13.000000\n1411210013\t13.000000\n1411210629\t13.250000\n1411211229\t13.190000\n1411211830\t13.380000\n1411212431\t13.500000\n1411213031\t13.810000\n1411213632\t13.810000\n1411214232\t13.940000\n1411214833\t14.000000\n1411215433\t14.120000\n1411216034\t14.380000\n1411216634\t14.380000\n1411217235\t14.810000\n1411217835\t14.810000\n1411218436\t14.750000\n1411219036\t14.880000\n1411219637\t15.250000\n1411220237\t15.620000\n1411220838\t16.000000\n1411221439\t15.810000\n1411222039\t16.000000\n1411222640\t16.000000\n1411223240\t16.380000\n1411223841\t16.380000\n1411224441\t16.190000\n1411225042\t16.060000\n1411225642\t16.060000\n1411226243\t16.060000\n1411226843\t15.880000\n1411227444\t15.690000\n1411228044\t15.560000\n1411228645\t15.500000\n1411229260\t15.250000\n1411229861\t14.940000\n1411230461\t14.750000\n1411231062\t14.500000\n1411231662\t14.120000\n1411232263\t13.690000\n1411232864\t13.380000\n1411233464\t13.250000\n1411234065\t13.060000\n1411234665\t12.880000\n1411235266\t12.750000\n1411235866\t12.560000\n1411236467\t12.380000\n1411237067\t12.250000\n1411237668\t12.190000\n1411238268\t12.060000\n1411238869\t11.940000\n1411239469\t11.810000\n1411240070\t11.690000\n1411240671\t11.620000\n1411241271\t11.500000\n1411241872\t11.380000\n1411242472\t11.250000\n1411243073\t11.000000\n1411243673\t10.940000\n1411244274\t10.620000\n1411244874\t10.380000\n1411245475\t10.440000\n1411246090\t10.190000\n1411246691\t10.120000\n1411247292\t10.060000\n1411247892\t10.060000\n1411248493\t10.060000\n1411249093\t9.940000\n1411249694\t9.940000\n1411250294\t9.810000\n1411250895\t9.620000\n1411251495\t9.560000\n1411252096\t9.500000\n1411252696\t9.310000\n1411253297\t9.380000\n1411253897\t9.310000\n1411254498\t9.190000\n1411255099\t9.120000\n1411255699\t9.060000\n1411256300\t8.810000\n1411256900\t8.620000\n1411257501\t8.810000\n1411258101\t8.690000\n1411258702\t8.560000\n1411259302\t8.310000\n1411259903\t8.250000\n1411260503\t8.190000\n1411261104\t8.120000\n1411261704\t8.000000\n1411262305\t8.000000\n1411262920\t7.810000\n1411263521\t7.940000\n1411264122\t7.940000\n1411264722\t7.880000\n1411265323\t7.750000\n1411265923\t7.750000\n1411266524\t7.620000\n1411267124\t7.620000\n1411267725\t7.560000\n1411268325\t7.560000\n1411268926\t7.440000\n1411269526\t7.380000\n1411270127\t7.310000\n1411270728\t7.310000\n1411271328\t7.000000\n1411271929\t6.940000\n1411272529\t6.810000\n1411273130\t7.000000\n1411273730\t7.000000\n1411274331\t6.940000\n1411274931\t6.810000\n1411275532\t6.940000\n1411276132\t7.000000\n1411276733\t7.120000\n1411277333\t7.190000\n1411277934\t7.500000\n1411278535\t7.620000\n1411279135\t7.810000\n1411279735\t7.940000\n1411280336\t7.940000\n1411280952\t8.310000\n1411281552\t8.440000\n1411282153\t8.620000\n1411282753\t8.880000\n1411283354\t9.000000\n1411283954\t9.310000\n1411284555\t9.810000\n1411285155\t10.560000\n1411285756\t10.810000\n1411286356\t11.120000\n1411286957\t11.440000\n1411287557\t11.750000\n1411288158\t11.690000\n1411288759\t11.750000\n1411289359\t11.750000\n1411289960\t11.810000\n1411290560\t11.810000\n1411291161\t11.810000\n1411291761\t12.000000\n1411292362\t11.940000\n1411292962\t11.940000\n1411293563\t12.060000\n1411294163\t12.060000\n1411294764\t11.810000\n1411295365\t11.690000\n1411295965\t11.380000\n1411296581\t11.310000\n1411297181\t11.310000\n1411297782\t11.310000\n1411298382\t11.380000\n1411298983\t11.560000\n1411299583\t11.690000\n1411300184\t11.750000\n1411300784\t11.940000\n1411301385\t12.060000\n1411301985\t12.060000\n1411302586\t12.060000\n1411303186\t12.120000\n1411303787\t12.190000\n1411304388\t12.190000\n1411304988\t12.380000\n1411305589\t12.380000\n1411306189\t12.310000\n1411306790\t12.310000\n1411307390\t12.310000\n1411307991\t12.310000\n1411308591\t12.380000\n1411309192\t12.310000\n1411309792\t12.190000\n1411310393\t12.190000\n1411310993\t12.120000\n1411311594\t12.060000\n1411312194\t12.060000\n1411312810\t12.060000\n1411313411\t12.000000\n1411314011\t11.940000\n1411314612\t11.880000\n1411315212\t11.880000\n1411315813\t11.880000\n1411316413\t11.940000\n1411317014\t12.060000\n1411317614\t12.000000\n1411318215\t11.880000\n1411318815\t11.750000\n1411319416\t11.750000\n1411320017\t11.690000\n1411320617\t11.620000\n1411321218\t11.620000\n1411321818\t11.500000\n1411322419\t11.310000\n1411323019\t11.120000\n1411323620\t10.880000\n1411324220\t10.810000\n1411324821\t10.690000\n1411325421\t10.620000\n1411326022\t10.560000\n1411326622\t10.560000\n1411327223\t10.500000\n1411327823\t10.380000\n1411328424\t10.380000\n1411329025\t10.250000\n1411329625\t10.250000\n1411330226\t10.250000\n1411330826\t10.190000\n1411331442\t10.060000\n1411332042\t9.690000\n1411332643\t9.560000\n1411333243\t9.500000\n1411333844\t9.440000\n1411334445\t9.440000\n1411335045\t9.440000\n1411335646\t9.380000\n1411336246\t9.310000\n1411336847\t9.250000\n1411337447\t9.190000\n1411338048\t9.120000\n1411338648\t9.120000\n1411339249\t9.000000\n1411339849\t8.940000\n1411340450\t8.880000\n1411341050\t8.880000\n1411341651\t8.810000\n1411342251\t8.810000\n1411342852\t8.810000\n1411343452\t8.810000\n1411344053\t8.690000\n1411344653\t8.750000\n1411345254\t8.750000\n1411345855\t8.750000\n1411346455\t8.690000\n1411347056\t8.620000\n1411347656\t8.620000\n1411348257\t8.620000\n1411348857\t8.560000\n1411349458\t8.560000\n1411350073\t8.560000\n1411350674\t8.620000\n1411351275\t8.620000\n1411351875\t8.620000\n1411352476\t8.620000\n1411353076\t8.690000\n1411353677\t8.620000\n1411354277\t8.690000\n1411354878\t8.810000\n1411355478\t8.880000\n1411356079\t8.880000\n1411356679\t8.940000\n1411357280\t8.880000\n1411357881\t8.810000\n1411358481\t8.750000\n1411359082\t8.620000\n1411359682\t8.500000\n1411360283\t8.380000\n1411360883\t8.310000\n1411361484\t8.250000\n1411362084\t8.190000\n1411362685\t8.060000\n1411363285\t8.060000\n1411363886\t8.120000\n1411364486\t8.120000\n1411365087\t8.120000\n1411365687\t8.120000\n1411366303\t8.120000\n1411366904\t8.060000\n1411367504\t8.060000\n1411368105\t7.940000\n1411368705\t7.810000\n1411369306\t7.810000\n1411369906\t7.750000\n1411370507\t7.690000\n1411371107\t7.620000\n1411371708\t7.620000\n1411372308\t7.500000\n1411372909\t7.500000\n1411373509\t7.310000\n1411374110\t7.250000\n1411374711\t7.250000\n1411375311\t7.380000\n1411375912\t7.500000\n1411376512\t7.440000\n1411377113\t7.440000\n1411377713\t7.500000\n1411378314\t7.440000\n1411378914\t7.380000\n1411379515\t7.250000\n1411380116\t7.250000\n1411380716\t7.310000\n1411381317\t7.120000\n1411381917\t7.190000\n1411382518\t7.120000\n1411383118\t7.060000\n1411383719\t7.190000\n1411384319\t7.440000\n1411384920\t7.560000\n1411385535\t8.000000\n1411386136\t8.250000\n1411386736\t8.190000\n1411387337\t8.440000\n1411387938\t8.750000\n1411388538\t8.810000\n1411389139\t9.060000\n1411389739\t9.190000\n1411390340\t9.750000\n1411390940\t9.940000\n1411391541\t10.190000\n1411392141\t10.000000\n1411392742\t10.250000\n1411393342\t10.560000\n1411393943\t10.750000\n1411394543\t10.620000\n1411395144\t10.810000\n1411395745\t10.810000\n1411396345\t10.940000\n1411396946\t10.810000\n1411397546\t10.810000\n1411398147\t10.750000\n1411398747\t10.560000\n1411399348\t10.310000\n1411399948\t10.250000\n1411400549\t10.190000\n1411401149\t10.000000\n1411401750\t9.810000\n1411402350\t9.560000\n1411402951\t9.250000\n1411403552\t8.940000\n1411404152\t8.440000\n1411404768\t8.060000\n1411405368\t7.880000\n1411405969\t7.620000\n1411406569\t7.440000\n1411407170\t7.380000\n1411407770\t7.250000\n1411408371\t7.250000\n1411408971\t7.250000\n1411409572\t7.190000\n1411410173\t7.120000\n1411410773\t6.940000\n1411411374\t6.880000\n1411411974\t6.940000\n1411412575\t6.880000\n1411413175\t6.810000\n1411413776\t6.690000\n1411414376\t6.440000\n1411414977\t6.380000\n1411415577\t6.310000\n1411416178\t6.120000\n1411416778\t6.060000\n1411417379\t6.060000\n1411417979\t6.000000\n1411418580\t6.000000\n1411419181\t5.750000\n1411419781\t5.560000\n1411420381\t5.310000\n1411420982\t5.250000\n1411421583\t5.190000\n1411422183\t5.120000\n1411422784\t5.060000\n1411423399\t5.060000\n1411424000\t5.060000\n1411424600\t5.190000\n1411425201\t5.060000\n1411425801\t4.620000\n1411426402\t4.440000\n1411427002\t4.380000\n1411427603\t4.380000\n1411428203\t4.310000\n1411428804\t4.440000\n1411429404\t4.440000\n1411430005\t4.560000\n1411430606\t4.440000\n1411431206\t4.500000\n1411431807\t4.250000\n1411432407\t4.190000\n1411433008\t4.250000\n1411433608\t4.120000\n1411434209\t4.060000\n1411434809\t4.120000\n1411435410\t4.190000\n1411436010\t4.190000\n1411436611\t4.190000\n1411437212\t4.120000\n1411437812\t4.120000\n1411438413\t3.880000\n1411439013\t3.380000\n1411439614\t3.380000\n1411440214\t3.620000\n1411440830\t3.560000\n1411441430\t3.310000\n1411442031\t3.310000\n1411442631\t3.310000\n1411443232\t2.500000\n1411443833\t2.690000\n1411444433\t2.810000\n1411445034\t2.560000\n1411445634\t2.560000\n1411446235\t3.000000\n1411446835\t3.060000\n1411447436\t2.750000\n1411448036\t2.310000\n1411448637\t2.560000\n1411449237\t2.440000\n1411449838\t2.560000\n1411450439\t2.880000\n1411451039\t2.810000\n1411451640\t2.690000\n1411452240\t2.940000\n1411452841\t2.620000\n1411453441\t2.380000\n1411454042\t2.940000\n1411454642\t3.440000\n1411455243\t3.750000\n1411455843\t4.000000\n1411456444\t4.380000\n1411457045\t4.750000\n1411457645\t5.120000\n1411458246\t5.440000\n1411458846\t5.690000\n1411459447\t6.120000\n1411460047\t6.440000\n1411460663\t6.620000\n1411461263\t6.880000\n1411461864\t7.120000\n1411462464\t7.500000\n1411463065\t7.750000\n1411463665\t7.750000\n1411464266\t8.060000\n1411464867\t8.120000\n1411465467\t8.000000\n1411466068\t8.190000\n1411466668\t8.380000\n1411467269\t8.000000\n1411467869\t8.250000\n1411468470\t8.380000\n1411469070\t8.500000\n1411469671\t8.940000\n1411470272\t8.690000\n1411470872\t8.810000\n1411471473\t8.810000\n1411472073\t9.000000\n1411472674\t9.250000\n1411473274\t9.120000\n1411473875\t9.250000\n1411474475\t8.940000\n1411475076\t8.810000\n1411475676\t9.250000\n1411476277\t9.060000\n1411476877\t9.440000\n1411477478\t9.810000\n1411478078\t9.250000\n1411478679\t9.000000\n1411479280\t8.940000\n1411479880\t9.060000\n1411480481\t9.120000\n1411481096\t9.120000\n1411481697\t9.000000\n1411482297\t8.940000\n1411482898\t8.810000\n1411483498\t8.690000\n1411484099\t8.500000\n1411484699\t8.380000\n1411485300\t8.190000\n1411485900\t8.120000\n1411486501\t8.000000\n1411487101\t7.880000\n1411487702\t7.750000\n1411488303\t7.690000\n1411488903\t7.560000\n1411489504\t7.500000\n1411490104\t7.440000\n1411490705\t7.310000\n1411491305\t7.250000\n1411491906\t7.190000\n1411492506\t7.120000\n1411493107\t7.000000\n1411493707\t6.940000\n1411494308\t7.000000\n1411494909\t6.940000\n1411495509\t6.880000\n1411496110\t6.810000\n1411496710\t6.620000\n1411497311\t6.560000\n1411497911\t6.690000\n1411498512\t6.690000\n1411499112\t6.690000\n1411499713\t6.690000\n1411500313\t6.620000\n1411500914\t6.620000\n1411501530\t6.620000\n1411502130\t6.560000\n1411502731\t6.560000\n1411503331\t6.560000\n1411503932\t6.440000\n1411504532\t6.380000\n1411505133\t6.500000\n1411505733\t6.560000\n1411506334\t6.560000\n1411506934\t6.560000\n1411507535\t6.500000\n1411508135\t6.380000\n1411508736\t6.310000\n1411509336\t6.380000\n1411509937\t6.250000\n1411510538\t6.250000\n1411511138\t6.310000\n1411511739\t6.250000\n1411512339\t6.190000\n1411512940\t6.120000\n1411513540\t6.190000\n1411514141\t6.250000\n1411514741\t6.190000\n1411515342\t6.250000\n1411515942\t6.250000\n1411516543\t6.250000\n1411517143\t6.190000\n1411517744\t6.190000\n1411518345\t6.250000\n1411518945\t6.310000\n1411519546\t6.310000\n1411520161\t6.310000\n1411520762\t6.310000\n1411521362\t6.310000\n1411521963\t6.310000\n1411522563\t6.190000\n1411523164\t6.190000\n1411523764\t6.250000\n1411524365\t6.310000\n1411524965\t6.250000\n1411525566\t6.310000\n1411526166\t6.310000\n1411526767\t6.310000\n1411527368\t6.310000\n1411527968\t6.380000\n1411528569\t6.250000\n1411529169\t6.310000\n1411529770\t6.310000\n1411530370\t6.250000\n1411530971\t6.250000\n1411531571\t6.310000\n1411532172\t6.250000\n1411532772\t6.310000\n1411533373\t6.310000\n1411533974\t6.310000\n1411534574\t6.310000\n1411535175\t6.310000\n1411535775\t6.310000\n1411536376\t6.440000\n1411536976\t6.440000\n1411537577\t6.440000\n1411538177\t6.500000\n1411538793\t6.500000\n1411539393\t6.500000\n1411539994\t6.560000\n1411540594\t6.620000\n1411541195\t6.620000\n1411541796\t6.750000\n1411542396\t6.810000\n1411542997\t7.000000\n1411543597\t7.060000\n1411544198\t7.060000\n1411544798\t7.190000\n1411545399\t7.190000\n1411545999\t7.310000\n1411546600\t7.440000\n1411547200\t7.500000\n1411547801\t7.560000\n1411548402\t7.620000\n1411549002\t7.810000\n1411549603\t7.810000\n1411550203\t7.810000\n1411550804\t7.940000\n1411551404\t7.940000\n1411552005\t8.000000\n1411552605\t8.000000\n1411553206\t8.060000\n1411553806\t8.120000\n1411554407\t8.190000\n1411555007\t8.250000\n1411555608\t8.380000\n1411556208\t8.440000\n1411556809\t8.690000\n1411557425\t8.690000\n1411558025\t8.620000\n1411558626\t8.750000\n1411559226\t8.940000\n1411559827\t9.250000\n1411560427\t9.310000\n1411561028\t9.440000\n1411561628\t9.250000\n1411562229\t9.250000\n1411562829\t9.310000\n1411563430\t9.380000\n1411564030\t9.380000\n1411564631\t9.310000\n1411565232\t9.120000\n1411565832\t8.940000\n1411566433\t9.120000\n1411567033\t9.120000\n1411567634\t9.120000\n1411568234\t9.120000\n1411568835\t9.190000\n1411569435\t9.120000\n1411570036\t9.000000\n1411570636\t8.940000\n1411571237\t8.810000\n1411571837\t8.750000\n1411572438\t8.690000\n1411573039\t8.690000\n1411573639\t8.620000\n1411574240\t8.620000\n1411574840\t8.560000\n1411575441\t8.560000\n1411576056\t8.500000\n1411576657\t8.560000\n1411577257\t8.500000\n1411577858\t8.500000\n1411578458\t8.440000\n1411579059\t8.440000\n1411579660\t8.380000\n1411580260\t8.380000\n1411580861\t8.380000\n1411581461\t8.380000\n1411582062\t8.310000\n1411582662\t8.310000\n1411583263\t8.310000\n1411583863\t8.310000\n1411584464\t8.250000\n1411585065\t8.250000\n1411585665\t8.310000\n1411586266\t8.250000\n1411586866\t8.310000\n1411587467\t8.250000\n1411588067\t8.250000\n1411588668\t8.250000\n1411589268\t8.250000\n1411589869\t8.250000\n1411590469\t8.310000\n1411591070\t8.310000\n1411591670\t8.310000\n1411592271\t8.250000\n1411592871\t8.250000\n1411593472\t8.250000\n1411594073\t8.250000\n1411594673\t8.250000\n1411595289\t8.250000\n1411595889\t8.250000\n1411596490\t8.250000\n1411597090\t8.190000\n1411597691\t8.190000\n1411598291\t8.190000\n1411598892\t8.190000\n1411599492\t8.120000\n1411600093\t8.120000\n1411600693\t8.120000\n1411601294\t8.120000\n1411601895\t8.120000\n1411602495\t8.120000\n1411603096\t8.120000\n1411603696\t8.120000\n1411604297\t8.120000\n1411604897\t8.060000\n1411605498\t8.120000\n1411606098\t8.120000\n1411606699\t8.120000\n1411607299\t8.120000\n1411607900\t8.060000\n1411608501\t8.120000\n1411609101\t8.120000\n1411609702\t8.000000\n1411610302\t8.000000\n1411610903\t8.000000\n1411611503\t8.000000\n1411612104\t8.060000\n1411612704\t8.000000\n1411613320\t8.060000\n1411613920\t8.000000\n1411614521\t8.000000\n1411615122\t8.060000\n1411615722\t8.060000\n1411616323\t8.000000\n1411616923\t8.000000\n1411617524\t8.000000\n1411618124\t7.940000\n1411618725\t7.940000\n1411619325\t7.940000\n1411619926\t7.880000\n1411620526\t7.880000\n1411621127\t7.810000\n1411621727\t7.880000\n1411622328\t7.940000\n1411622928\t7.940000\n1411623529\t7.880000\n1411624130\t7.880000\n1411624730\t7.940000\n1411625331\t7.880000\n1411625931\t7.810000\n1411626532\t7.880000\n1411627132\t8.000000\n1411627733\t8.060000\n1411628333\t8.060000\n1411628934\t8.060000\n1411629534\t8.060000\n1411630135\t8.060000\n1411630750\t8.250000\n1411631351\t8.310000\n1411631952\t8.440000\n1411632552\t8.620000\n1411633153\t8.560000\n1411633753\t8.690000\n1411634354\t8.810000\n1411634954\t9.250000\n1411635555\t9.310000\n1411636155\t9.380000\n1411636756\t9.440000\n1411637356\t9.690000\n1411637957\t9.810000\n1411638557\t9.620000\n1411639158\t9.880000\n1411639759\t10.620000\n1411640359\t10.690000\n1411640960\t10.690000\n1411641560\t10.500000\n1411642161\t10.620000\n1411642761\t11.310000\n1411643362\t11.560000\n1411643962\t10.810000\n1411644563\t10.940000\n1411645163\t10.750000\n1411645764\t10.620000\n1411646364\t11.000000\n1411646965\t11.310000\n1411647565\t11.310000\n1411648166\t11.250000\n1411648766\t11.250000\n1411649382\t11.380000\n1411649983\t11.250000\n1411650583\t11.190000\n1411651184\t11.690000\n1411651784\t12.000000\n1411652385\t12.000000\n1411652985\t12.500000\n1411653586\t12.250000\n1411654186\t11.880000\n1411654787\t11.750000\n1411655387\t11.750000\n1411655988\t11.690000\n1411656589\t11.750000\n1411657189\t11.750000\n1411657790\t11.750000\n1411658390\t11.690000\n1411658991\t11.560000\n1411659591\t11.620000\n1411660192\t11.560000\n1411660792\t11.380000\n1411661393\t11.250000\n1411661993\t11.120000\n1411662594\t11.000000\n1411663194\t10.810000\n1411663795\t10.690000\n1411664396\t10.440000\n1411664996\t10.190000\n1411665597\t9.940000\n1411666197\t9.940000\n1411666798\t9.810000\n1411667398\t9.560000\n1411668014\t9.250000\n1411668614\t9.120000\n1411669215\t8.810000\n1411669815\t8.810000\n1411670416\t8.560000\n1411671016\t8.310000\n1411671617\t8.120000\n1411672217\t8.060000\n1411672818\t7.940000\n1411673419\t7.690000\n1411674019\t7.750000\n1411674620\t7.500000\n1411675220\t7.560000\n1411675821\t7.440000\n1411676421\t7.440000\n1411677022\t7.500000\n1411677622\t7.190000\n1411678223\t6.940000\n1411678823\t7.000000\n1411679424\t7.000000\n1411680025\t6.880000\n1411680625\t6.750000\n1411681226\t6.880000\n1411681826\t6.880000\n1411682427\t6.750000\n1411683027\t6.690000\n1411683628\t6.560000\n1411684228\t6.560000\n1411684844\t6.690000\n1411685444\t6.880000\n1411686045\t7.060000\n1411686645\t7.000000\n1411687246\t7.120000\n1411687846\t7.060000\n1411688447\t7.060000\n1411689047\t7.060000\n1411689648\t6.880000\n1411690249\t6.880000\n1411690849\t6.880000\n1411691450\t6.750000\n1411692050\t6.810000\n1411692651\t6.380000\n1411693251\t6.440000\n1411693852\t6.120000\n1411694452\t6.000000\n1411695053\t6.190000\n1411695653\t5.940000\n1411696254\t5.810000\n1411696854\t6.060000\n1411697455\t6.000000\n1411698056\t6.000000\n1411698656\t6.120000\n1411699257\t6.190000\n1411699857\t6.120000\n1411700458\t6.250000\n1411701058\t5.750000\n1411701659\t5.500000\n1411702259\t6.000000\n1411702860\t6.250000\n1411703475\t6.120000\n1411704076\t5.880000\n1411704676\t5.940000\n1411705277\t5.940000\n1411705877\t6.000000\n1411706478\t6.250000\n1411707079\t6.310000\n1411707679\t6.440000\n1411708280\t6.750000\n1411708880\t7.060000\n1411709481\t7.380000\n1411710081\t7.750000\n1411710682\t8.310000\n1411711282\t8.560000\n1411711883\t8.810000\n1411712483\t9.060000\n1411713084\t9.250000\n1411713685\t9.560000\n1411714285\t9.690000\n1411714886\t9.810000\n1411715486\t10.060000\n1411716087\t10.250000\n1411716687\t10.560000\n1411717288\t10.880000\n1411717888\t11.060000\n1411718489\t11.250000\n1411719089\t11.750000\n1411719690\t11.690000\n1411720290\t12.060000\n1411720891\t12.380000\n1411721506\t12.940000\n1411722107\t12.940000\n1411722708\t12.750000\n1411723308\t13.190000\n1411723909\t13.380000\n1411724509\t13.190000\n1411725110\t13.310000\n1411725710\t13.440000\n1411726311\t13.440000\n1411726911\t13.440000\n1411727512\t13.440000\n1411728112\t13.440000\n1411728713\t13.560000\n1411729313\t13.750000\n1411729914\t13.750000\n1411730514\t13.690000\n1411731115\t13.690000\n1411731716\t13.810000\n1411732316\t14.000000\n1411732917\t14.060000\n1411733517\t14.250000\n1411734118\t14.440000\n1411734718\t14.560000\n1411735319\t14.500000\n1411735919\t14.880000\n1411736520\t15.060000\n1411737120\t15.060000\n1411737721\t15.380000\n1411738322\t15.380000\n1411738937\t15.310000\n1411739538\t15.500000\n1411740138\t15.750000\n1411740739\t15.750000\n1411741339\t15.940000\n1411741940\t15.880000\n1411742540\t16.000000\n1411743141\t16.000000\n1411743741\t15.940000\n1411744342\t16.000000\n1411744942\t15.940000\n1411745543\t16.000000\n1411746143\t16.120000\n1411746744\t15.940000\n1411747344\t15.940000\n1411747945\t15.810000\n1411748546\t15.690000\n1411749146\t15.750000\n1411749747\t15.810000\n1411750347\t15.620000\n1411750948\t15.380000\n1411751548\t15.380000\n1411752149\t15.250000\n1411752749\t15.060000\n1411753350\t14.880000\n1411753951\t14.620000\n1411754551\t14.500000\n1411755152\t14.380000\n1411755752\t14.190000\n1411756353\t14.060000\n1411756953\t13.880000\n1411757569\t13.880000\n1411758169\t13.750000\n1411758770\t13.620000\n1411759370\t13.500000\n1411759971\t13.380000\n1411760571\t13.120000\n1411761172\t13.000000\n1411761772\t12.880000\n1411762373\t12.690000\n1411762973\t12.560000\n1411763574\t12.440000\n1411764174\t12.380000\n1411764775\t12.380000\n1411765376\t12.190000\n1411765976\t12.120000\n1411766577\t11.880000\n1411767177\t11.810000\n1411767778\t11.690000\n1411768378\t11.560000\n1411768979\t11.440000\n1411769579\t11.440000\n1411770180\t11.310000\n1411770780\t11.310000\n1411771381\t11.190000\n1411771982\t11.120000\n1411772582\t11.060000\n1411773183\t11.120000\n1411773783\t11.120000\n1411774384\t11.000000\n1411774984\t11.060000\n1411775585\t11.060000\n1411776200\t11.120000\n1411776801\t11.060000\n1411777401\t11.120000\n1411778002\t11.120000\n1411778603\t11.120000\n1411779203\t11.060000\n1411779804\t11.000000\n1411780404\t11.120000\n1411781005\t11.000000\n1411781605\t11.000000\n1411782206\t11.120000\n1411782806\t11.060000\n1411783407\t11.000000\n1411784007\t10.940000\n1411784608\t11.120000\n1411785208\t11.120000\n1411785809\t11.060000\n1411786410\t10.880000\n1411787010\t10.750000\n1411787611\t10.880000\n1411788211\t10.810000\n1411788812\t10.750000\n1411789412\t10.690000\n1411790013\t10.620000\n1411790613\t10.560000\n1411791214\t10.620000\n1411791814\t10.690000\n1411792415\t10.620000\n1411793015\t10.500000\n1411793616\t10.560000\n1411794216\t10.690000\n1411794832\t10.690000\n1411795433\t10.880000\n1411796033\t10.810000\n1411796634\t10.880000\n1411797234\t10.940000\n1411797835\t11.120000\n1411798435\t11.440000\n1411799036\t11.750000\n1411799636\t11.880000\n1411800237\t12.060000\n1411800837\t12.190000\n1411801438\t12.560000\n1411802039\t12.620000\n1411802639\t12.880000\n1411803240\t13.060000\n1411803840\t13.190000\n1411804441\t13.380000\n1411805041\t13.750000\n1411805642\t13.810000\n1411806242\t14.000000\n1411806843\t14.120000\n1411807443\t14.310000\n1411808044\t14.560000\n1411808644\t14.620000\n1411809245\t14.500000\n1411809845\t14.620000\n1411810446\t14.560000\n1411811047\t14.440000\n1411811647\t15.190000\n1411812248\t15.060000\n1411812848\t14.750000\n1411813464\t14.810000\n1411814064\t14.940000\n1411814665\t15.120000\n1411815265\t15.060000\n1411815866\t15.120000\n1411816466\t15.310000\n1411817067\t15.620000\n1411817668\t15.690000\n1411818268\t15.690000\n1411818869\t15.940000\n1411819469\t16.000000\n1411820070\t16.250000\n1411820670\t16.310000\n1411821271\t15.690000\n1411821871\t15.620000\n1411822472\t15.380000\n1411823072\t15.810000\n1411823673\t15.750000\n1411824274\t15.940000\n1411824874\t16.310000\n1411825475\t16.380000\n1411826075\t16.000000\n1411826676\t16.120000\n1411827276\t16.190000\n1411827877\t16.060000\n1411828477\t16.190000\n1411829078\t16.250000\n1411829678\t16.000000\n1411830279\t15.880000\n1411830879\t15.810000\n1411831480\t15.750000\n1411832080\t15.620000\n1411832696\t15.500000\n1411833297\t15.310000\n1411833897\t15.120000\n1411834498\t14.750000\n1411835098\t14.440000\n1411835699\t14.250000\n1411836299\t14.060000\n1411836900\t13.940000\n1411837500\t13.750000\n1411838101\t13.750000\n1411838701\t13.560000\n1411839302\t13.380000\n1411839903\t13.440000\n1411840503\t13.310000\n1411841104\t13.190000\n1411841704\t13.120000\n1411842305\t13.060000\n1411842905\t13.060000\n1411843506\t12.940000\n1411844106\t12.750000\n1411844707\t12.810000\n1411845307\t12.690000\n1411845908\t12.560000\n1411846508\t12.440000\n1411847109\t12.440000\n1411847709\t12.440000\n1411848310\t12.440000\n1411848911\t12.380000\n1411849511\t12.310000\n1411850112\t12.380000\n1411850712\t12.310000\n1411851313\t12.380000\n1411851913\t12.310000\n1411852529\t12.310000\n1411853129\t12.310000\n1411853730\t12.380000\n1411854330\t12.380000\n1411854931\t12.380000\n1411855532\t12.310000\n1411856132\t12.310000\n1411856733\t12.190000\n1411857333\t12.250000\n1411857934\t12.310000\n1411858534\t12.310000\n1411859135\t12.310000\n1411859735\t12.380000\n1411860336\t12.380000\n1411860936\t12.440000\n1411861537\t12.500000\n1411862137\t12.500000\n1411862738\t12.500000\n1411863339\t12.560000\n1411863939\t12.750000\n1411864540\t12.690000\n1411865140\t12.750000\n1411865741\t12.750000\n1411866341\t12.810000\n1411866942\t12.810000\n1411867542\t12.750000\n1411868143\t12.810000\n1411868744\t12.750000\n1411869344\t12.620000\n1411869945\t12.620000\n1411870545\t12.690000\n1411871146\t12.620000\n1411871746\t12.620000\n1411872347\t12.690000\n1411872947\t12.690000\n1411873548\t12.560000\n1411874163\t12.500000\n1411874764\t12.560000\n1411875365\t12.560000\n1411875965\t12.440000\n1411876566\t12.380000\n1411877166\t12.440000\n1411877767\t12.380000\n1411878367\t12.500000\n1411878968\t12.440000\n1411879568\t12.310000\n1411880169\t12.380000\n1411880769\t12.310000\n1411881370\t12.310000\n1411881970\t12.310000\n1411882571\t12.380000\n1411883171\t12.440000\n1411883772\t12.560000\n1411884372\t12.560000\n1411884973\t12.620000\n1411885573\t12.500000\n1411886174\t12.500000\n1411886775\t12.500000\n1411887375\t12.440000\n1411887976\t12.500000\n1411888576\t12.690000\n1411889177\t12.880000\n1411889777\t13.000000\n1411890378\t13.190000\n1411890978\t13.560000\n1411891579\t13.810000\n1411892179\t13.940000\n1411892780\t13.940000\n1411893380\t14.310000\n1411893996\t14.380000\n1411894596\t14.310000\n1411895197\t14.880000\n1411895798\t15.120000\n1411896398\t15.250000\n1411896999\t15.060000\n1411897599\t15.380000\n1411898200\t15.250000\n1411898800\t15.500000\n1411899401\t15.380000\n1411900001\t15.310000\n1411900602\t15.190000\n1411901202\t15.880000\n1411901803\t16.250000\n1411902403\t16.380000\n1411903004\t16.440000\n1411903605\t16.440000\n1411904205\t16.310000\n1411904806\t16.000000\n1411905406\t15.880000\n1411906007\t15.880000\n1411906607\t15.690000\n1411907208\t15.810000\n1411907808\t15.880000\n1411908409\t15.810000\n1411909009\t16.000000\n1411909610\t16.940000\n1411910211\t16.250000\n1411910811\t16.310000\n1411911412\t16.000000\n1411912012\t16.000000\n1411912613\t16.250000\n1411913228\t16.380000\n1411913829\t16.440000\n1411914429\t16.750000\n1411915030\t16.690000\n1411915630\t16.440000\n1411916231\t16.500000\n1411916832\t16.310000\n1411917432\t16.690000\n1411918033\t16.560000\n1411918633\t16.250000\n1411919234\t15.810000\n1411919834\t15.500000\n1411920435\t15.250000\n1411921035\t15.060000\n1411921636\t14.810000\n1411922236\t14.690000\n1411922837\t14.440000\n1411923438\t14.380000\n1411924038\t14.310000\n1411924639\t14.250000\n1411925239\t14.120000\n1411925840\t14.060000\n1411926440\t14.000000\n1411927041\t13.880000\n1411927641\t13.750000\n1411928242\t13.690000\n1411928843\t13.690000\n1411929443\t13.560000\n1411930044\t13.500000\n1411930644\t13.500000\n1411931245\t13.500000\n1411931860\t13.380000\n1411932461\t13.380000\n1411933061\t13.440000\n1411933662\t13.440000\n1411934262\t13.500000\n1411934863\t13.620000\n1411935463\t13.690000\n1411936064\t13.810000\n1411936664\t13.880000\n1411937265\t13.880000\n1411937865\t13.880000\n1411938466\t13.940000\n1411939066\t13.940000\n1411939667\t14.000000\n1411940267\t14.060000\n1411940868\t14.060000\n1411941469\t14.120000\n1411942069\t14.120000\n1411942670\t14.250000\n1411943270\t14.310000\n1411943871\t14.380000\n1411944471\t14.440000\n1411945072\t14.440000\n1411945672\t14.440000\n1411946273\t14.440000\n1411946873\t14.440000\n1411947474\t14.440000\n1411948074\t14.380000\n1411948675\t14.310000\n1411949275\t14.310000\n1411949891\t14.250000\n1411950492\t14.250000\n1411951092\t14.250000\n1411951693\t14.190000\n1411952293\t14.190000\n1411952894\t14.190000\n1411953494\t14.120000\n1411954095\t14.060000\n1411954695\t13.940000\n1411955296\t13.880000\n1411955896\t13.880000\n1411956497\t13.880000\n1411957098\t13.750000\n1411957698\t13.750000\n1411958299\t13.690000\n1411958899\t13.690000\n1411959500\t13.690000\n1411960100\t13.690000\n1411960701\t13.810000\n1411961301\t13.620000\n1411961902\t13.440000\n1411962502\t13.380000\n1411963103\t13.250000\n1411963703\t13.120000\n1411964304\t12.940000\n1411964905\t12.940000\n1411965505\t12.880000\n1411966106\t12.690000\n1411966706\t12.560000\n1411967307\t12.440000\n1411967922\t12.440000\n1411968523\t12.380000\n1411969123\t12.440000\n1411969724\t12.810000\n1411970324\t13.060000\n1411970925\t13.380000\n1411971526\t13.500000\n1411972126\t13.690000\n1411972727\t13.750000\n1411973327\t13.940000\n1411973928\t14.000000\n1411974528\t14.190000\n1411975129\t14.310000\n1411975729\t14.560000\n1411976330\t14.750000\n1411976930\t14.750000\n1411977531\t15.000000\n1411978131\t15.000000\n1411978732\t15.250000\n1411979332\t15.190000\n1411979933\t15.380000\n1411980533\t15.620000\n1411981134\t16.000000\n1411981734\t16.000000\n1411982335\t15.940000\n1411982936\t15.380000\n1411983536\t15.500000\n1411984137\t15.560000\n1411984752\t15.810000\n1411985353\t16.120000\n1411985953\t16.120000\n1411986554\t16.250000\n1411987154\t16.250000\n1411987755\t16.440000\n1411988355\t16.500000\n1411988956\t16.500000\n1411989556\t16.560000\n1411990157\t16.750000\n1411990757\t16.750000\n1411991358\t16.810000\n1411991959\t16.810000\n1411992559\t17.190000\n1411993160\t17.060000\n1411993760\t17.060000\n1411994361\t16.940000\n1411994961\t16.940000\n1411995562\t17.120000\n1411996162\t17.060000\n1411996763\t17.440000\n1411997363\t17.060000\n1411997964\t17.060000\n1411998564\t17.190000\n1411999165\t17.000000\n1411999765\t17.120000\n1412000366\t17.120000\n1412000967\t17.060000\n1412001567\t17.000000\n1412002168\t16.810000\n1412002768\t16.690000\n1412003384\t16.560000\n1412003984\t16.440000\n1412004585\t16.190000\n1412005185\t15.880000\n1412005786\t15.690000\n1412006386\t15.380000\n1412006987\t14.940000\n1412007587\t14.620000\n1412008188\t14.190000\n1412008789\t13.810000\n1412009389\t13.120000\n1412009990\t12.500000\n1412010590\t12.310000\n1412011191\t12.120000\n1412011791\t11.750000\n1412012392\t11.750000\n1412012992\t11.500000\n1412013593\t11.250000\n1412014193\t10.690000\n1412014794\t10.060000\n1412015395\t9.810000\n1412015995\t9.750000\n1412016596\t9.880000\n1412017196\t10.120000\n1412017797\t10.120000\n1412018397\t10.380000\n1412018998\t10.190000\n1412019598\t10.060000\n1412020199\t10.120000\n1412020799\t9.440000\n1412021400\t9.560000\n1412022000\t9.690000\n1412022616\t9.500000\n1412023217\t9.190000\n1412023817\t9.620000\n1412024418\t9.380000\n1412025018\t9.380000\n1412025619\t9.060000\n1412026219\t8.500000\n1412026820\t8.250000\n1412027420\t8.620000\n1412028021\t7.940000\n1412028621\t8.060000\n1412029222\t8.380000\n1412029822\t8.250000\n1412030423\t8.310000\n1412031024\t7.620000\n1412031624\t7.560000\n1412032225\t7.620000\n1412032825\t7.560000\n1412033426\t7.190000\n1412034026\t7.310000\n1412034627\t7.190000\n1412035227\t7.000000\n1412035828\t6.880000\n1412036428\t6.750000\n1412037029\t7.000000\n1412037629\t6.880000\n1412038230\t6.250000\n1412038831\t6.500000\n1412039431\t6.440000\n1412040047\t6.690000\n1412040647\t6.440000\n1412041248\t5.750000\n1412041848\t6.000000\n1412042449\t6.000000\n1412043049\t5.560000\n1412043650\t5.940000\n1412044250\t5.880000\n1412044851\t5.440000\n1412045451\t5.620000\n1412046052\t5.620000\n1412046653\t5.440000\n1412047253\t5.380000\n1412047854\t4.940000\n1412048454\t4.750000\n1412049055\t4.880000\n1412049655\t4.310000\n1412050256\t4.440000\n1412050856\t4.810000\n1412051457\t4.880000\n1412052057\t4.560000\n1412052658\t4.310000\n1412053258\t4.000000\n1412053859\t3.440000\n1412054460\t3.310000\n1412055060\t3.440000\n1412055661\t4.380000\n1412056261\t4.620000\n1412056862\t4.750000\n1412057462\t4.560000\n1412058063\t5.000000\n1412058663\t5.250000\n1412059279\t5.440000\n1412059880\t5.690000\n1412060480\t5.940000\n1412061081\t6.190000\n1412061681\t6.560000\n1412062282\t7.060000\n1412062882\t7.440000\n1412063483\t7.810000\n1412064083\t8.190000\n1412064684\t8.750000\n1412065285\t9.120000\n1412065885\t9.440000\n1412066486\t9.690000\n1412067086\t10.000000\n1412067687\t10.190000\n1412068287\t10.380000\n1412068888\t10.380000\n1412069488\t10.560000\n1412070089\t10.560000\n1412070689\t10.750000\n1412071290\t11.000000\n1412071890\t11.120000\n1412072491\t11.250000\n1412073092\t11.380000\n1412073692\t11.690000\n1412074293\t11.690000\n1412074893\t11.810000\n1412075494\t11.940000\n1412076094\t12.120000\n1412076695\t12.250000\n1412077295\t12.440000\n1412077896\t12.690000\n1412078511\t12.880000\n1412079112\t12.880000\n1412079712\t13.060000\n1412080313\t13.060000\n1412080913\t13.060000\n1412081514\t13.190000\n1412082115\t13.380000\n1412082715\t13.440000\n1412083316\t13.690000\n1412083916\t13.880000\n1412084517\t13.940000\n1412085117\t13.690000\n1412085718\t14.060000\n1412086318\t14.060000\n1412086919\t14.120000\n1412087519\t14.190000\n1412088120\t13.880000\n1412088720\t13.810000\n1412089321\t13.620000\n1412089921\t13.310000\n1412090522\t13.060000\n1412091123\t13.190000\n1412091723\t13.000000\n1412092324\t12.560000\n1412092924\t12.000000\n1412093525\t11.500000\n1412094125\t11.190000\n1412094726\t10.750000\n1412095326\t10.380000\n1412095927\t10.250000\n1412096527\t10.060000\n1412097143\t9.810000\n1412097743\t9.500000\n1412098344\t9.190000\n1412098945\t9.060000\n1412099545\t9.000000\n1412100146\t8.690000\n1412100746\t8.190000\n1412101347\t8.250000\n1412101947\t8.250000\n1412102548\t8.000000\n1412103148\t7.810000\n1412103749\t7.560000\n1412104349\t7.310000\n1412104950\t7.190000\n1412105550\t6.880000\n1412106151\t6.880000\n1412106752\t7.000000\n1412107352\t6.880000\n1412107953\t6.880000\n1412108553\t6.690000\n1412109154\t5.880000\n1412109754\t5.880000\n1412110355\t6.060000\n1412110955\t5.880000\n1412111556\t6.120000\n1412112156\t5.880000\n1412112757\t6.000000\n1412113357\t6.000000\n1412113958\t5.560000\n1412114558\t5.500000\n1412115174\t5.500000\n1412115775\t4.880000\n1412116375\t5.060000\n1412116976\t5.190000\n1412117576\t5.250000\n1412118177\t5.120000\n1412118777\t4.810000\n1412119378\t4.690000\n1412119978\t4.560000\n1412120579\t4.750000\n1412121179\t4.620000\n1412121780\t4.500000\n1412122381\t4.310000\n1412122981\t4.190000\n1412123582\t3.880000\n1412124182\t3.750000\n1412124783\t3.750000\n1412125383\t3.560000\n1412125984\t3.560000\n1412126584\t3.380000\n1412127185\t3.060000\n1412127785\t3.000000\n1412128386\t3.000000\n1412128986\t2.810000\n1412129587\t2.690000\n1412130188\t2.310000\n1412130788\t2.560000\n1412131389\t2.690000\n1412131989\t2.560000\n1412132590\t2.440000\n1412133190\t2.620000\n1412133806\t2.250000\n1412134406\t2.440000\n1412135007\t2.440000\n1412135607\t2.190000\n1412136208\t2.250000\n1412136809\t2.380000\n1412137409\t2.310000\n1412138010\t2.440000\n1412138610\t2.380000\n1412139211\t2.380000\n1412139811\t2.310000\n1412140412\t2.060000\n1412141012\t2.190000\n1412141613\t1.940000\n1412142213\t2.190000\n1412142814\t2.250000\n1412143415\t2.380000\n1412144015\t2.440000\n1412144616\t2.690000\n1412145216\t2.940000\n1412145817\t3.120000\n1412146417\t3.380000\n1412147018\t3.620000\n1412147618\t4.000000\n1412148219\t4.380000\n1412148819\t4.810000\n1412149420\t5.250000\n1412150020\t5.750000\n1412150621\t6.000000\n1412151237\t6.560000\n1412151837\t6.940000\n1412152438\t7.940000\n1412153038\t8.250000\n1412153639\t8.250000\n1412154239\t8.620000\n1412154840\t9.500000\n1412155440\t9.940000\n1412156041\t10.190000\n1412156641\t10.500000\n1412157242\t10.750000\n1412157842\t11.120000\n1412158443\t11.440000\n1412159044\t11.560000\n1412159644\t11.940000\n1412160245\t11.440000\n1412160845\t12.060000\n1412161446\t12.310000\n1412162046\t12.620000\n1412162647\t13.060000\n1412163247\t12.620000\n1412163848\t12.690000\n1412164448\t12.310000\n1412165049\t12.250000\n1412165649\t13.060000\n1412166250\t13.190000\n1412166850\t12.750000\n1412167451\t13.190000\n1412168051\t13.380000\n1412168652\t13.620000\n1412169253\t13.810000\n1412169868\t13.940000\n1412170469\t13.940000\n1412171069\t14.060000\n1412171670\t14.250000\n1412172270\t14.190000\n1412172871\t14.310000\n1412173471\t14.310000\n1412174072\t14.310000\n1412174672\t14.310000\n1412175273\t14.190000\n1412175873\t14.000000\n1412176474\t13.810000\n1412177074\t13.500000\n1412177675\t13.310000\n1412178276\t12.880000\n1412178876\t12.560000\n1412179477\t11.940000\n1412180077\t11.380000\n1412180678\t11.000000\n1412181278\t10.690000\n1412181879\t10.310000\n1412182479\t10.000000\n1412183080\t9.810000\n1412183680\t9.500000\n1412184281\t9.250000\n1412184882\t8.940000\n1412185482\t8.620000\n1412186083\t8.620000\n1412186683\t8.560000\n1412187284\t8.310000\n1412187884\t8.250000\n1412188500\t7.940000\n1412189100\t7.810000\n1412189701\t7.620000\n1412190301\t7.560000\n1412190902\t7.440000\n1412191502\t7.310000\n1412192103\t7.310000\n1412192704\t7.250000\n1412193304\t7.120000\n1412193905\t7.250000\n1412194505\t7.250000\n1412195106\t7.310000\n1412195706\t7.440000\n1412196307\t7.380000\n1412196907\t7.250000\n1412197508\t7.310000\n1412198109\t7.310000\n1412198709\t7.500000\n1412199310\t7.560000\n1412199910\t7.690000\n1412200511\t7.750000\n1412201111\t7.810000\n1412201712\t7.880000\n1412202312\t7.940000\n1412202913\t7.880000\n1412203513\t7.940000\n1412204114\t8.060000\n1412204714\t8.120000\n1412205315\t8.190000\n1412205915\t8.120000\n1412206531\t8.060000\n1412207131\t8.060000\n1412207732\t8.120000\n1412208333\t8.190000\n1412208933\t8.250000\n1412209533\t8.380000\n1412210134\t8.500000\n1412210735\t8.560000\n1412211335\t8.690000\n1412211936\t8.810000\n1412212536\t8.880000\n1412213137\t8.940000\n1412213737\t9.000000\n1412214338\t9.120000\n1412214938\t9.120000\n1412215539\t9.190000\n1412216139\t9.250000\n1412216740\t9.310000\n1412217340\t9.440000\n1412217941\t9.440000\n1412218542\t9.440000\n1412219142\t9.500000\n1412219743\t9.500000\n1412220343\t9.560000\n1412220944\t9.560000\n1412221544\t9.620000\n1412222145\t9.620000\n1412222745\t9.690000\n1412223346\t9.690000\n1412223946\t9.750000\n1412224547\t9.750000\n1412225162\t9.810000\n1412225763\t9.810000\n1412226364\t9.810000\n1412226964\t9.880000\n1412227565\t9.940000\n1412228165\t10.000000\n1412228766\t10.000000\n1412229366\t10.060000\n1412229967\t10.190000\n1412230567\t10.190000\n1412231168\t10.250000\n1412231768\t10.380000\n1412232369\t10.560000\n1412232969\t10.750000\n1412233570\t10.810000\n1412234170\t10.810000\n1412234771\t10.810000\n1412235371\t10.880000\n1412235972\t11.000000\n1412236572\t11.120000\n1412237173\t11.440000\n1412237774\t11.690000\n1412238374\t11.750000\n1412238975\t11.940000\n1412239575\t12.000000\n1412240176\t12.000000\n1412240776\t12.000000\n1412241377\t12.000000\n1412241977\t12.060000\n1412242578\t12.060000\n1412243178\t12.060000\n1412243779\t12.000000\n1412244380\t11.940000\n1412244995\t12.000000\n1412245596\t12.000000\n1412246196\t12.120000\n1412246797\t12.310000\n1412247397\t12.380000\n1412247998\t12.310000\n1412248598\t12.380000\n1412249199\t12.500000\n1412249799\t12.620000\n1412250400\t12.750000\n1412251000\t12.880000\n1412251601\t13.060000\n1412252202\t13.060000\n1412252802\t13.120000\n1412253403\t13.060000\n1412254003\t13.060000\n1412254604\t13.190000\n1412255204\t13.120000\n1412255805\t13.120000\n1412256405\t13.060000\n1412257006\t13.060000\n1412257606\t13.060000\n1412258207\t13.120000\n1412258808\t13.060000\n1412259408\t13.060000\n1412260009\t13.060000\n1412260609\t13.060000\n1412261210\t13.190000\n1412261810\t13.190000\n1412262411\t13.190000\n1412263011\t13.120000\n1412263612\t13.060000\n1412264212\t12.940000\n1412264813\t12.940000\n1412265413\t12.880000\n1412266014\t12.880000\n1412266630\t12.880000\n1412267230\t12.810000\n1412267831\t12.750000\n1412268431\t12.750000\n1412269032\t12.750000\n1412269632\t12.750000\n1412270233\t12.690000\n1412270833\t12.690000\n1412271434\t12.620000\n1412272034\t12.620000\n1412272635\t12.620000\n1412273236\t12.560000\n1412273836\t12.560000\n1412274437\t12.560000\n1412275037\t12.620000\n1412275638\t12.620000\n1412276238\t12.620000\n1412276839\t12.620000\n1412277439\t12.690000\n1412278040\t12.620000\n1412278640\t12.560000\n1412279241\t12.560000\n1412279841\t12.560000\n1412280442\t12.560000\n1412281042\t12.560000\n1412281643\t12.560000\n1412282243\t12.560000\n1412282844\t12.560000\n1412283445\t12.500000\n1412284045\t12.560000\n1412284646\t12.620000\n1412285246\t12.620000\n1412285847\t12.560000\n1412286447\t12.560000\n1412287048\t12.620000\n1412287663\t12.620000\n1412288264\t12.620000\n1412288864\t12.560000\n1412289465\t12.620000\n1412290065\t12.620000\n1412290666\t12.620000\n1412291266\t12.620000\n1412291867\t12.620000\n1412292468\t12.620000\n1412293068\t12.620000\n1412293669\t12.620000\n1412294269\t12.620000\n1412294870\t12.560000\n1412295470\t12.560000\n1412296071\t12.620000\n1412296671\t12.500000\n1412297272\t12.500000\n1412297872\t12.500000\n1412298473\t12.500000\n1412299073\t12.500000\n1412299674\t12.500000\n1412300275\t12.560000\n1412300875\t12.560000\n1412301476\t12.560000\n1412302076\t12.560000\n1412302677\t12.620000\n1412303277\t12.620000\n1412303878\t12.620000\n1412304478\t12.620000\n1412305079\t12.620000\n1412305694\t12.690000\n1412306295\t12.690000\n1412306895\t12.690000\n1412307496\t12.880000\n1412308097\t12.750000\n1412308697\t12.620000\n1412309298\t12.560000\n1412309898\t12.560000\n1412310499\t12.560000\n1412311099\t12.560000\n1412311700\t12.440000\n1412312300\t12.380000\n1412312901\t12.250000\n1412313501\t12.190000\n1412314102\t11.940000\n1412314703\t11.690000\n1412315303\t11.620000\n1412315904\t11.500000\n1412316504\t11.310000\n1412317105\t11.380000\n1412317705\t11.440000\n1412318306\t11.500000\n1412318906\t11.810000\n1412319507\t12.190000\n1412320107\t12.000000\n1412320708\t11.880000\n1412321309\t11.940000\n1412321909\t11.940000\n1412322510\t12.000000\n1412323110\t12.060000\n1412323711\t11.940000\n1412324311\t12.120000\n1412324927\t12.500000\n1412325527\t12.750000\n1412326128\t12.310000\n1412326728\t12.190000\n1412327329\t12.000000\n1412327929\t12.190000\n1412328530\t12.440000\n1412329131\t12.310000\n1412329731\t12.560000\n1412330332\t13.190000\n1412330932\t13.190000\n1412331533\t13.250000\n1412332133\t13.620000\n1412332734\t13.190000\n1412333334\t13.500000\n1412333935\t13.940000\n1412334535\t13.880000\n1412335136\t14.000000\n1412335736\t14.310000\n1412336337\t14.000000\n1412336937\t14.440000\n1412337538\t14.620000\n1412338139\t14.560000\n1412338739\t14.440000\n1412339340\t14.190000\n1412339940\t14.750000\n1412340541\t15.250000\n1412341141\t15.120000\n1412341742\t15.000000\n1412342342\t15.190000\n1412342943\t15.380000\n1412343558\t15.440000\n1412344159\t15.440000\n1412344760\t15.560000\n1412345360\t15.750000\n1412345961\t15.690000\n1412346561\t15.750000\n1412347162\t16.000000\n1412347762\t15.560000\n1412348363\t15.500000\n1412348963\t15.440000\n1412349564\t15.440000\n1412350164\t15.250000\n1412350765\t14.810000\n1412351366\t14.500000\n1412351966\t14.000000\n1412352567\t13.440000\n1412353167\t13.120000\n1412353768\t12.880000\n1412354368\t12.690000\n1412354969\t12.500000\n1412355569\t12.120000\n1412356170\t11.880000\n1412356770\t11.690000\n1412357371\t11.560000\n1412357971\t11.380000\n1412358572\t11.310000\n1412359172\t11.250000\n1412359773\t11.250000\n1412360373\t11.190000\n1412360974\t11.000000\n1412361590\t10.750000\n1412362190\t10.940000\n1412362791\t10.810000\n1412363391\t10.620000\n1412363992\t10.500000\n1412364592\t10.620000\n1412365193\t10.500000\n1412365794\t10.560000\n1412366394\t10.810000\n1412366995\t10.880000\n1412367595\t10.560000\n1412368196\t10.560000\n1412368796\t10.620000\n1412369397\t10.690000\n1412369997\t10.750000\n1412370598\t10.810000\n1412371198\t10.880000\n1412371799\t11.060000\n1412372400\t11.060000\n1412373000\t11.190000\n1412373601\t11.060000\n1412374201\t11.190000\n1412374802\t11.310000\n1412375402\t11.380000\n1412376003\t11.380000\n1412376603\t11.380000\n1412377204\t11.250000\n1412377804\t11.310000\n1412378405\t11.250000\n1412379005\t11.250000\n1412379606\t11.120000\n1412380206\t10.940000\n1412380822\t11.000000\n1412381423\t11.000000\n1412382023\t10.940000\n1412382624\t10.810000\n1412383224\t10.880000\n1412383825\t10.880000\n1412384425\t10.880000\n1412385026\t10.560000\n1412385626\t10.250000\n1412386227\t10.250000\n1412386827\t10.310000\n1412387428\t10.500000\n1412388029\t10.440000\n1412388629\t10.250000\n1412389230\t10.440000\n1412389830\t10.310000\n1412390431\t10.380000\n1412391031\t10.310000\n1412391632\t10.310000\n1412392232\t10.380000\n1412392833\t10.440000\n1412393433\t10.620000\n1412394034\t10.750000\n1412394634\t10.810000\n1412395235\t10.880000\n1412395836\t10.940000\n1412396436\t11.000000\n1412397037\t11.060000\n1412397637\t11.120000\n1412398238\t11.120000\n1412398838\t11.120000\n1412399439\t11.120000\n1412400054\t11.250000\n1412400655\t11.310000\n1412401255\t11.380000\n1412401856\t11.440000\n1412402457\t11.560000\n1412403057\t11.560000\n1412403658\t11.690000\n1412404258\t11.690000\n1412404859\t11.810000\n1412405459\t11.940000\n1412406060\t12.000000\n1412406660\t12.120000\n1412407261\t12.250000\n1412407861\t12.500000\n1412408462\t12.690000\n1412409062\t12.940000\n1412409663\t13.310000\n1412410264\t13.440000\n1412410864\t13.560000\n1412411465\t13.690000\n1412412065\t13.750000\n1412412666\t14.000000\n1412413266\t14.310000\n1412413867\t14.380000\n1412414467\t14.440000\n1412415068\t14.750000\n1412415668\t14.880000\n1412416269\t15.000000\n1412416870\t14.940000\n1412417470\t15.000000\n1412418071\t15.060000\n1412418686\t15.000000\n1412419287\t15.060000\n1412419887\t15.120000\n1412420488\t15.190000\n1412421088\t15.310000\n1412421689\t15.440000\n1412422289\t15.560000\n1412422890\t15.750000\n1412423490\t15.810000\n1412424091\t15.880000\n1412424691\t15.940000\n1412425292\t16.190000\n1412425893\t16.380000\n1412426493\t16.380000\n1412427094\t16.310000\n1412427694\t16.250000\n1412428295\t16.190000\n1412428895\t16.120000\n1412429496\t16.060000\n1412430096\t15.940000\n1412430697\t15.810000\n1412431297\t15.690000\n1412431898\t15.560000\n1412432499\t15.440000\n1412433099\t15.310000\n1412433700\t15.250000\n1412434300\t15.190000\n1412434901\t15.120000\n1412435501\t15.060000\n1412436117\t15.060000\n1412436717\t15.000000\n1412437318\t15.060000\n1412437918\t15.190000\n1412438519\t15.060000\n1412439120\t14.880000\n1412439720\t14.750000\n1412440321\t14.560000\n1412440921\t14.440000\n1412441522\t14.380000\n1412442122\t14.310000\n1412442723\t14.250000\n1412443323\t14.120000\n1412443924\t14.000000\n1412444525\t14.000000\n1412445125\t14.000000\n1412445726\t14.000000\n1412446326\t13.940000\n1412446927\t13.940000\n1412447527\t13.880000\n1412448128\t13.810000\n1412448728\t13.810000\n1412449329\t13.750000\n1412449929\t13.810000\n1412450530\t13.810000\n1412451131\t13.810000\n1412451731\t13.750000\n1412452332\t13.750000\n1412452932\t13.690000\n1412453533\t13.620000\n1412454133\t13.560000\n1412454734\t13.500000\n1412455349\t13.440000\n1412455950\t13.560000\n1412456550\t13.560000\n1412457151\t13.560000\n1412457752\t13.500000\n1412458352\t13.500000\n1412458953\t13.440000\n1412459553\t13.440000\n1412460154\t13.560000\n1412460754\t13.560000\n1412461355\t13.560000\n1412461955\t13.560000\n1412462556\t13.500000\n1412463157\t13.500000\n1412463757\t13.440000\n1412464358\t13.380000\n1412464958\t13.380000\n1412465559\t13.310000\n1412466159\t13.190000\n1412466760\t13.060000\n1412467360\t13.000000\n1412467961\t12.940000\n1412468561\t12.940000\n1412469162\t12.940000\n1412469762\t12.940000\n1412470363\t12.810000\n1412470964\t12.750000\n1412471564\t12.750000\n1412472165\t12.620000\n1412472765\t12.500000\n1412473381\t12.500000\n1412473981\t12.500000\n1412474582\t12.380000\n1412475182\t12.310000\n1412475783\t12.380000\n1412476383\t12.310000\n1412476984\t12.380000\n1412477584\t12.310000\n1412478185\t12.190000\n1412478786\t12.120000\n1412479386\t12.060000\n1412479987\t12.000000\n1412480587\t11.940000\n1412481188\t11.750000\n1412481788\t11.750000\n1412482389\t11.750000\n1412482989\t11.620000\n1412483590\t11.620000\n1412484191\t11.560000\n1412484791\t11.620000\n1412485392\t11.690000\n1412485992\t11.690000\n1412486593\t11.750000\n1412487193\t11.750000\n1412487794\t11.810000\n1412488394\t11.880000\n1412488995\t11.880000\n1412489596\t12.000000\n1412490196\t12.060000\n1412490797\t12.120000\n1412491412\t12.250000\n1412492013\t12.560000\n1412492613\t12.560000\n1412493214\t12.560000\n1412493814\t12.690000\n1412494415\t12.750000\n1412495015\t12.880000\n1412495616\t12.940000\n1412496217\t13.060000\n1412496817\t13.190000\n1412497418\t13.310000\n1412498018\t13.620000\n1412498619\t13.940000\n1412499219\t14.060000\n1412499820\t14.440000\n1412500420\t14.440000\n1412501021\t14.310000\n1412501622\t14.190000\n1412502222\t14.310000\n1412502823\t14.500000\n1412503423\t14.690000\n1412504024\t14.880000\n1412504624\t14.940000\n1412505225\t15.000000\n1412505825\t15.000000\n1412506426\t15.060000\n1412507027\t15.000000\n1412507627\t15.190000\n1412508228\t15.190000\n1412508828\t15.190000\n1412509429\t15.310000\n1412510029\t15.810000\n1412510645\t15.750000\n1412511245\t15.120000\n1412511846\t14.810000\n1412512446\t14.940000\n1412513047\t15.310000\n1412513648\t15.250000\n1412514248\t15.250000\n1412514849\t15.120000\n1412515449\t15.060000\n1412516050\t15.000000\n1412516650\t14.750000\n1412517251\t14.810000\n1412517851\t14.940000\n1412518452\t14.810000\n1412519053\t14.940000\n1412519653\t14.810000\n1412520254\t14.620000\n1412520854\t14.500000\n1412521455\t14.310000\n1412522055\t14.190000\n1412522656\t14.060000\n1412523256\t13.940000\n1412523857\t13.810000\n1412524457\t13.750000\n1412525058\t13.620000\n1412525658\t13.500000\n1412526259\t13.380000\n1412526860\t13.310000\n1412527460\t13.250000\n1412528061\t13.190000\n1412528661\t13.120000\n1412529262\t13.000000\n1412529862\t12.880000\n1412530478\t12.810000\n1412531078\t12.690000\n1412531679\t12.620000\n1412532280\t12.560000\n1412532880\t12.620000\n1412533481\t12.620000\n1412534081\t12.560000\n1412534682\t12.500000\n1412535282\t12.440000\n1412535883\t12.440000\n1412536483\t12.380000\n1412537084\t12.310000\n1412537684\t12.380000\n1412538285\t12.310000\n1412538885\t12.250000\n1412539486\t12.250000\n1412540086\t12.250000\n1412540687\t12.310000\n1412541288\t12.380000\n1412541888\t12.380000\n1412542489\t12.440000\n1412543089\t12.380000\n1412543690\t12.310000\n1412544290\t12.250000\n1412544891\t12.120000\n1412545491\t12.060000\n1412546092\t12.000000\n1412546692\t11.940000\n1412547293\t11.880000\n1412547893\t11.810000\n1412548494\t11.750000\n1412549110\t11.750000\n1412549710\t11.690000\n1412550311\t11.690000\n1412550911\t11.620000\n1412551512\t11.620000\n1412552112\t11.560000\n1412552713\t11.380000\n1412553313\t11.250000\n1412553914\t11.250000\n1412554514\t11.120000\n1412555115\t11.060000\n1412555715\t10.940000\n1412556316\t10.880000\n1412556917\t10.810000\n1412557517\t10.750000\n1412558118\t10.750000\n1412558718\t10.750000\n1412559319\t10.500000\n1412559919\t10.440000\n1412560520\t10.310000\n1412561120\t10.250000\n1412561721\t10.190000\n1412562321\t10.060000\n1412562922\t9.750000\n1412563523\t9.500000\n1412564123\t9.310000\n1412564724\t9.250000\n1412565324\t9.060000\n1412565925\t9.060000\n1412566525\t9.000000\n1412567126\t8.810000\n1412567726\t8.880000\n1412568342\t8.880000\n1412568942\t8.750000\n1412569543\t8.500000\n1412570143\t8.250000\n1412570744\t8.190000\n1412571345\t8.120000\n1412571945\t8.250000\n1412572546\t8.440000\n1412573146\t8.620000\n1412573747\t8.810000\n1412574347\t9.060000\n1412574948\t9.250000\n1412575548\t9.380000\n1412576149\t9.440000\n1412576749\t9.560000\n1412577350\t9.690000\n1412577951\t9.750000\n1412578551\t9.880000\n1412579152\t9.880000\n1412579752\t9.880000\n1412580353\t9.940000\n1412580953\t9.940000\n1412581554\t9.940000\n1412582154\t9.940000\n1412582755\t10.060000\n1412583355\t10.250000\n1412583956\t10.310000\n1412584556\t10.380000\n1412585157\t10.380000\n1412585773\t10.440000\n1412586373\t10.440000\n1412586974\t10.440000\n1412587574\t10.380000\n1412588175\t10.440000\n1412588775\t10.620000\n1412589376\t11.060000\n1412589976\t11.250000\n1412590577\t11.310000\n1412591177\t11.560000\n1412591778\t11.380000\n1412592379\t11.380000\n1412592979\t11.500000\n1412593580\t11.380000\n1412594180\t11.310000\n1412594781\t11.060000\n1412595381\t10.620000\n1412595982\t10.440000\n1412596583\t10.310000\n1412597183\t10.440000\n1412597784\t10.440000\n1412598384\t10.310000\n1412598985\t10.250000\n1412599585\t10.560000\n1412600186\t10.380000\n1412600786\t10.190000\n1412601387\t10.120000\n1412601987\t10.120000\n1412602588\t10.060000\n1412603189\t9.940000\n1412603804\t9.940000\n1412604405\t9.810000\n1412605005\t9.750000\n1412605606\t9.690000\n1412606206\t9.620000\n1412606807\t9.560000\n1412608380\t9.380000\n1412608980\t9.380000\n1412609596\t9.310000\n1412610196\t9.250000\n1412610797\t9.190000\n1412611397\t9.190000\n1412611998\t9.120000\n1412612599\t9.060000\n1412613199\t9.120000\n1412613800\t9.060000\n1412614400\t9.060000\n1412615001\t9.060000\n1412615601\t9.000000\n1412616202\t8.940000\n1412616802\t8.940000\n1412617403\t8.940000\n1412618004\t8.940000\n1412618604\t8.940000\n1412619205\t8.940000\n1412619805\t9.000000\n1412620406\t9.000000\n1412621006\t8.880000\n1412621607\t8.810000\n1412622207\t8.690000\n1412622808\t8.620000\n1412623409\t8.500000\n1412624009\t8.440000\n1412624610\t8.310000\n1412625210\t8.250000\n1412625811\t8.250000\n1412626411\t8.310000\n1412627012\t8.380000\n1412627612\t8.440000\n1412628213\t8.500000\n1412628814\t8.440000\n1412629414\t8.440000\n1412630015\t8.440000\n1412630615\t8.440000\n1412631216\t8.380000\n1412631816\t8.380000\n1412632432\t8.380000\n1412633032\t8.440000\n1412633633\t8.440000\n1412634233\t8.500000\n1412634834\t8.380000\n1412635434\t8.440000\n1412636035\t8.380000\n1412636635\t8.380000\n1412637236\t8.440000\n1412637836\t8.380000\n1412638437\t8.440000\n1412639038\t8.440000\n1412639638\t8.310000\n1412640239\t8.190000\n1412640839\t8.250000\n1412641440\t8.250000\n1412642040\t8.250000\n1412642641\t8.190000\n1412643241\t8.120000\n1412643842\t8.000000\n1412644442\t8.000000\n1412645043\t8.000000\n1412645644\t8.060000\n1412646244\t8.120000\n1412646845\t8.190000\n1412647445\t8.060000\n1412648046\t7.880000\n1412648646\t7.810000\n1412649247\t7.940000\n1412649847\t7.940000\n1412650448\t8.060000\n1412651048\t8.060000\n1412651649\t8.120000\n1412652250\t8.060000\n1412652850\t8.000000\n1412653466\t8.000000\n1412654066\t8.000000\n1412654667\t8.120000\n1412655267\t8.120000\n1412655868\t8.190000\n1412656468\t8.120000\n1412657069\t8.120000\n1412657670\t8.120000\n1412658270\t8.190000\n1412658871\t8.250000\n1412659471\t8.190000\n1412660072\t8.190000\n1412660672\t8.190000\n1412661273\t8.250000\n1412661873\t8.250000\n1412662474\t8.250000\n1412663074\t8.310000\n1412663675\t8.380000\n1412664276\t8.500000\n1412664876\t8.560000\n1412665477\t8.500000\n1412666077\t8.560000\n1412666678\t8.750000\n1412667278\t8.750000\n1412667879\t8.620000\n1412668479\t8.560000\n1412669080\t8.810000\n1412669680\t9.120000\n1412670281\t9.190000\n1412670811\t9.190000\n1412671441\t9.440000\n1412672042\t9.310000\n1412672642\t9.250000\n1412673243\t9.250000\n1412673843\t9.310000\n1412674444\t9.380000\n1412675045\t9.560000\n1412675645\t9.620000\n1412676246\t9.440000\n1412676846\t9.060000\n1412677447\t9.190000\n1412678047\t9.440000\n1412678648\t9.440000\n1412679248\t9.310000\n1412679849\t9.380000\n1412680464\t9.810000\n1412681065\t10.310000\n1412681665\t10.120000\n1412682266\t10.250000\n1412682867\t9.940000\n1412683467\t10.310000\n1412684068\t10.310000\n1412684668\t10.060000\n1412685269\t10.120000\n1412685869\t10.250000\n1412686470\t10.250000\n1412687070\t10.060000\n1412687671\t9.750000\n1412688271\t9.750000\n1412688872\t9.750000\n1412689473\t9.690000\n1412690073\t9.620000\n1412690674\t9.560000\n1412691274\t9.560000\n1412691875\t9.620000\n1412692475\t9.620000\n1412693076\t9.560000\n1412693677\t9.560000\n1412694277\t9.560000\n1412694878\t9.620000\n1412695478\t9.560000\n1412696079\t9.560000\n1412696679\t9.500000\n1412697280\t9.440000\n1412697880\t9.440000\n1412698481\t9.440000\n1412699082\t9.500000\n1412699682\t9.500000\n1412700283\t9.620000\n1412700883\t9.690000\n1412701484\t9.750000\n1412702099\t9.810000\n1412702700\t9.880000\n1412703300\t9.940000\n1412703901\t10.000000\n1412704501\t10.060000\n1412705102\t10.060000\n1412705703\t10.120000\n1412706303\t10.190000\n1412706904\t10.190000\n1412707504\t10.250000\n1412708105\t10.190000\n1412708705\t10.190000\n1412709306\t10.190000\n1412709906\t10.190000\n1412710507\t10.250000\n1412711108\t10.250000\n1412711708\t10.250000\n1412712309\t10.310000\n1412712909\t10.310000\n1412713510\t10.380000\n1412714110\t10.440000\n1412714711\t10.440000\n1412715311\t10.500000\n1412715912\t10.560000\n1412716512\t10.620000\n1412717113\t10.690000\n1412717713\t10.750000\n1412718314\t10.810000\n1412718915\t10.880000\n1412719515\t10.880000\n1412720116\t10.940000\n1412720716\t11.000000\n1412721317\t11.120000\n1412721917\t11.190000\n1412722518\t11.310000\n1412723118\t11.380000\n1412723719\t11.380000\n1412724319\t11.440000\n1412724935\t11.440000\n1412725536\t11.440000\n1412726136\t11.500000\n1412726737\t11.500000\n1412727337\t11.560000\n1412727938\t11.560000\n1412728538\t11.690000\n1412729139\t11.690000\n1412729739\t11.690000\n1412730340\t11.690000\n1412730941\t11.750000\n1412731541\t11.810000\n1412732142\t11.810000\n1412732742\t11.810000\n1412733343\t11.750000\n1412733943\t11.810000\n1412734544\t11.810000\n1412735144\t11.750000\n1412735745\t11.750000\n1412736346\t11.690000\n1412736946\t11.690000\n1412737547\t11.620000\n1412738147\t11.440000\n1412738748\t11.250000\n1412739348\t11.190000\n1412739949\t11.190000\n1412740549\t11.190000\n1412741150\t11.120000\n1412741751\t10.940000\n1412742351\t10.810000\n1412742952\t10.690000\n1412743552\t10.620000\n1412744153\t10.500000\n1412744753\t10.380000\n1412745354\t10.250000\n1412745954\t10.120000\n1412746555\t10.060000\n1412747170\t10.000000\n1412747771\t9.940000\n1412748371\t9.940000\n1412748972\t9.940000\n1412749573\t9.880000\n1412750173\t9.940000\n1412750774\t10.120000\n1412751374\t10.310000\n1412751975\t10.440000\n1412752575\t10.750000\n1412753176\t11.060000\n1412753776\t11.190000\n1412754377\t11.310000\n1412754977\t11.560000\n1412755578\t11.880000\n1412756178\t12.190000\n1412756779\t12.250000\n1412757379\t12.060000\n1412757980\t12.560000\n1412758580\t12.250000\n1412759181\t12.620000\n1412759782\t12.880000\n1412760382\t12.940000\n1412760983\t12.560000\n1412761583\t12.440000\n1412762184\t12.310000\n1412762784\t12.750000\n1412763385\t13.250000\n1412763985\t14.000000\n1412764586\t13.380000\n1412765186\t13.250000\n1412765802\t13.120000\n1412766402\t13.000000\n1412767003\t13.440000\n1412767603\t13.620000\n1412768204\t13.940000\n1412768805\t13.560000\n1412769405\t13.940000\n1412770006\t14.000000\n1412770606\t14.000000\n1412771207\t14.120000\n1412771807\t13.880000\n1412772408\t13.940000\n1412773008\t13.940000\n1412773609\t13.690000\n1412774210\t13.560000\n1412774810\t13.440000\n1412775411\t13.250000\n1412776011\t12.810000\n1412776612\t12.500000\n1412777212\t13.250000\n1412777813\t13.560000\n1412778413\t13.250000\n1412779014\t13.560000\n1412779614\t13.380000\n1412780215\t12.940000\n1412780815\t13.190000\n1412781416\t13.190000\n1412782017\t12.880000\n1412782617\t12.560000\n1412783218\t12.310000\n1412783818\t12.060000\n1412784419\t11.810000\n1412785019\t11.620000\n1412785620\t11.440000\n1412786220\t11.190000\n1412786821\t10.940000\n1412787422\t10.810000\n1412788022\t10.750000\n1412788638\t10.620000\n1412789238\t10.560000\n1412789839\t10.440000\n1412790439\t10.310000\n1412791040\t10.250000\n1412791640\t10.380000\n1412792241\t10.380000\n1412792842\t10.380000\n1412793442\t10.380000\n1412794043\t10.310000\n1412794643\t10.190000\n1412795244\t10.060000\n1412795844\t9.940000\n1412796445\t9.940000\n1412797045\t9.810000\n1412797646\t9.750000\n1412798246\t9.690000\n1412798847\t9.620000\n1412799448\t9.500000\n1412800048\t9.500000\n1412800649\t9.440000\n1412801249\t9.380000\n1412801850\t9.250000\n1412802450\t9.190000\n1412803051\t9.120000\n1412803651\t9.060000\n1412804252\t8.940000\n1412804852\t8.880000\n1412805453\t8.380000\n1412806054\t8.250000\n1412806654\t8.310000\n1412807255\t8.310000\n1412807855\t8.250000\n1412808456\t8.250000\n1412809056\t8.190000\n1412809657\t8.120000\n1412810257\t8.060000\n1412810858\t7.940000\n1412811473\t8.000000\n1412812074\t8.060000\n1412812675\t7.880000\n1412813275\t7.880000\n1412813876\t7.880000\n1412814476\t7.690000\n1412815077\t7.560000\n1412815677\t7.250000\n1412816278\t6.880000\n1412816878\t6.880000\n1412817479\t6.810000\n1412818080\t6.690000\n1412818680\t6.690000\n1412819281\t6.620000\n1412819881\t6.560000\n1412820482\t6.500000\n1412821082\t6.440000\n1412821683\t6.440000\n1412822283\t6.560000\n1412822884\t6.690000\n1412823484\t6.940000\n1412824085\t7.190000\n1412824686\t7.310000\n1412825286\t7.560000\n1412825887\t7.750000\n1412826487\t7.750000\n1412827088\t7.880000\n1412827688\t7.940000\n1412828289\t8.060000\n1412828889\t8.120000\n1412829490\t8.250000\n1412830091\t8.440000\n1412830706\t8.560000\n1412831307\t8.690000\n1412831907\t8.750000\n1412832508\t8.880000\n1412833108\t8.940000\n1412833709\t9.000000\n1412834309\t9.120000\n1412834910\t9.250000\n1412835510\t9.380000\n1412836111\t9.500000\n1412836712\t9.620000\n1412837312\t9.750000\n1412837913\t9.880000\n1412838513\t9.940000\n1412839114\t10.120000\n1412839714\t10.380000\n1412840315\t10.500000\n1412840915\t10.620000\n1412841516\t10.810000\n1412842116\t11.000000\n1412842717\t11.060000\n1412843317\t11.190000\n1412843918\t11.440000\n1412844518\t11.500000\n1412845119\t11.620000\n1412845720\t11.810000\n1412846320\t12.000000\n1412846921\t11.880000\n1412847521\t12.380000\n1412848122\t12.440000\n1412848737\t12.500000\n1412849338\t12.560000\n1412849938\t12.750000\n1412850539\t12.810000\n1412851140\t12.940000\n1412851740\t13.190000\n1412852341\t13.380000\n1412852941\t13.440000\n1412853542\t13.380000\n1412854142\t13.380000\n1412854743\t13.560000\n1412855343\t13.810000\n1412855944\t14.000000\n1412856544\t14.190000\n1412857145\t14.120000\n1412857746\t13.880000\n1412858346\t13.750000\n1412858947\t14.000000\n1412859547\t14.190000\n1412860148\t14.380000\n1412860748\t14.810000\n1412861349\t15.060000\n1412861950\t15.440000\n1412862550\t15.250000\n1412863151\t14.750000\n1412863751\t14.560000\n1412864352\t14.440000\n1412864952\t14.250000\n1412865553\t14.440000\n1412866153\t14.190000\n1412866754\t14.380000\n1412867354\t14.500000\n1412867970\t14.000000\n1412868570\t13.620000\n1412869171\t13.310000\n1412869771\t13.060000\n1412870372\t12.690000\n1412870973\t12.620000\n1412871573\t12.620000\n1412872174\t12.560000\n1412872774\t12.500000\n1412873375\t12.250000\n1412873975\t11.940000\n1412874576\t11.750000\n1412875176\t11.560000\n1412875777\t11.380000\n1412876377\t11.190000\n1412876978\t11.120000\n1412877579\t11.000000\n1412878179\t10.810000\n1412878780\t10.750000\n1412879380\t10.620000\n1412879981\t10.560000\n1412880581\t10.500000\n1412881182\t10.440000\n1412881782\t10.500000\n1412882383\t10.620000\n1412882983\t10.690000\n1412883584\t10.750000\n1412884185\t10.810000\n1412884785\t10.880000\n1412885386\t10.880000\n1412885986\t10.690000\n1412886602\t10.620000\n1412887202\t10.690000\n1412887803\t10.750000\n1412888403\t10.560000\n1412889004\t10.310000\n1412889604\t10.250000\n1412890205\t10.000000\n1412890806\t10.000000\n1412891406\t9.880000\n1412892007\t9.810000\n1412892607\t9.690000\n1412893208\t9.620000\n1412893808\t9.560000\n1412894409\t9.380000\n1412895009\t9.250000\n1412895610\t9.310000\n1412896210\t9.500000\n1412896811\t9.750000\n1412897412\t9.880000\n1412898012\t10.000000\n1412898613\t10.060000\n1412899213\t10.060000\n1412899814\t10.000000\n1412900414\t10.000000\n1412901015\t10.000000\n1412901615\t9.940000\n1412902216\t9.940000\n1412902817\t9.940000\n1412903417\t10.000000\n1412904033\t10.060000\n1412904633\t10.060000\n1412905234\t10.120000\n1412905834\t10.120000\n1412906435\t10.190000\n1412907035\t10.310000\n1412907636\t10.250000\n1412908236\t10.250000\n1412908837\t10.190000\n1412909437\t10.120000\n1412910038\t10.120000\n1412910639\t10.190000\n1412911239\t10.250000\n1412911840\t10.190000\n1412912440\t10.190000\n1412913041\t10.060000\n1412913641\t10.000000\n1412914242\t10.000000\n1412914842\t10.120000\n1412915443\t10.120000\n1412916043\t10.190000\n1412916644\t10.190000\n1412917245\t10.190000\n1412917845\t10.190000\n1412918446\t10.120000\n1412919046\t10.250000\n1412919647\t10.250000\n1412920247\t10.380000\n1412920848\t10.560000\n1412921448\t10.750000\n1412922064\t10.940000\n1412922664\t11.060000\n1412923265\t11.190000\n1412923866\t11.310000\n1412924466\t11.380000\n1412925067\t11.380000\n1412925667\t11.380000\n1412926268\t11.380000\n1412926868\t11.620000\n1412927469\t11.810000\n1412928069\t11.880000\n1412928670\t11.940000\n1412929270\t12.060000\n1412929871\t12.560000\n1412930472\t12.810000\n1412931072\t13.060000\n1412931673\t13.440000\n1412932273\t13.750000\n1412932874\t13.810000\n1412933474\t13.940000\n1412934075\t14.060000\n1412934675\t13.940000\n1412935276\t14.120000\n1412935877\t14.250000\n1412936477\t14.620000\n1412937078\t14.560000\n1412937678\t14.620000\n1412938279\t14.880000\n1412938879\t14.690000\n1412939480\t14.560000\n1412940095\t14.810000\n1412940696\t15.190000\n1412941296\t15.120000\n1412941897\t15.190000\n1412942498\t15.120000\n1412943098\t14.810000\n1412943699\t14.750000\n1412944299\t14.880000\n1412944900\t14.750000\n1412945500\t14.620000\n1412946101\t14.500000\n1412946701\t14.690000\n1412947302\t14.500000\n1412947902\t14.560000\n1412948503\t14.750000\n1412949103\t14.750000\n1412949704\t14.620000\n1412950305\t14.620000\n1412950905\t14.560000\n1412951506\t14.750000\n1412952106\t14.190000\n1412952707\t14.060000\n1412953307\t13.880000\n1412953908\t13.810000\n1412954508\t13.810000\n1412955109\t13.810000\n1412955709\t13.620000\n1412956310\t13.310000\n1412956910\t13.000000\n1412957511\t12.940000\n1412958111\t12.690000\n1412958727\t12.560000\n1412959328\t12.440000\n1412959928\t12.310000\n1412960529\t12.190000\n1412961129\t12.060000\n1412961730\t11.940000\n1412962330\t11.880000\n1412962931\t11.750000\n1412963531\t11.620000\n1412964132\t11.620000\n1412964732\t11.560000\n1412965333\t11.500000\n1412965934\t11.440000\n1412966534\t11.440000\n1412967135\t11.380000\n1412967735\t11.250000\n1412968336\t11.250000\n1412968936\t11.310000\n1412969537\t11.310000\n1412970137\t11.250000\n1412970738\t11.310000\n1412971339\t11.310000\n1412971939\t11.190000\n1412972540\t11.120000\n1412973140\t11.060000\n1412973741\t11.060000\n1412974341\t11.000000\n1412974942\t10.750000\n1412975542\t10.690000\n1412976143\t10.690000\n1412976743\t10.620000\n1412977359\t10.620000\n1412977960\t10.620000\n1412978560\t10.560000\n1412979161\t10.500000\n1412979761\t10.560000\n1412980362\t10.560000\n1412980962\t10.620000\n1412981563\t10.690000\n1412982164\t10.690000\n1412982764\t10.620000\n1412983365\t10.620000\n1412983965\t10.810000\n1412984566\t10.880000\n1412985166\t10.810000\n1412985767\t10.690000\n1412986367\t10.690000\n1412986968\t10.690000\n1412987568\t10.690000\n1412988169\t10.690000\n1412988770\t10.620000\n1412989370\t10.560000\n1412989971\t10.500000\n1412990571\t10.440000\n1412991172\t10.310000\n1412991772\t10.250000\n1412992373\t10.250000\n1412992973\t10.310000\n1412993574\t10.310000\n1412994174\t10.250000\n1412994775\t10.120000\n1412995375\t10.120000\n1412995991\t10.250000\n1412996591\t10.440000\n1412997192\t10.440000\n1412997793\t10.380000\n1412998393\t10.440000\n1412998994\t10.500000\n1412999594\t10.500000\n1413000195\t10.560000\n1413000795\t10.690000\n1413001396\t10.750000\n1413001996\t10.500000\n1413002597\t10.500000\n1413003198\t10.380000\n1413003798\t10.310000\n1413004399\t10.250000\n1413004999\t10.190000\n1413005600\t10.190000\n1413006200\t10.060000\n1413006801\t10.120000\n1413007401\t10.190000\n1413008002\t10.310000\n1413008602\t10.440000\n1413009203\t10.620000\n1413009804\t10.810000\n1413010404\t11.060000\n1413011005\t11.250000\n1413011605\t11.690000\n1413012206\t11.810000\n1413012806\t11.810000\n1413013407\t11.620000\n1413014007\t11.560000\n1413014623\t11.750000\n1413015224\t11.940000\n1413015824\t12.250000\n1413016425\t12.440000\n1413017025\t12.560000\n1413017626\t12.810000\n1413018226\t12.690000\n1413018827\t13.060000\n1413019427\t13.560000\n1413020028\t13.250000\n1413020629\t13.250000\n1413021229\t13.620000\n1413021830\t13.810000\n1413022430\t14.000000\n1413023031\t14.190000\n1413023631\t14.000000\n1413024232\t14.250000\n1413024832\t14.120000\n1413025433\t14.750000\n1413026033\t14.380000\n1413026634\t13.810000\n1413027235\t14.190000\n1413027835\t14.440000\n1413028436\t14.560000\n1413029036\t14.750000\n1413029637\t14.620000\n1413030237\t14.880000\n1413030838\t15.060000\n1413031438\t15.060000\n1413032039\t15.000000\n1413032639\t14.940000\n1413033240\t15.190000\n1413033856\t15.440000\n1413034456\t15.190000\n1413035057\t14.190000\n1413035657\t14.250000\n1413036258\t13.940000\n1413036858\t13.880000\n1413037459\t13.750000\n1413038059\t13.690000\n1413038660\t14.190000\n1413039261\t14.310000\n1413039861\t14.190000\n1413040462\t14.060000\n1413041062\t13.750000\n1413041663\t13.380000\n1413042263\t13.000000\n1413042864\t12.620000\n1413043464\t12.190000\n1413044065\t11.880000\n1413044666\t11.690000\n1413045266\t11.380000\n1413045867\t11.310000\n1413046467\t11.120000\n1413047068\t11.000000\n1413047668\t10.500000\n1413048269\t10.250000\n1413048869\t9.880000\n1413049470\t9.880000\n1413050071\t9.810000\n1413050671\t9.880000\n1413051287\t9.750000\n1413051887\t9.440000\n1413052488\t9.250000\n1413053088\t9.250000\n1413053689\t9.190000\n1413054289\t9.250000\n1413054890\t9.120000\n1413055490\t9.120000\n1413056091\t9.120000\n1413056692\t8.620000\n1413057292\t8.620000\n1413057893\t8.690000\n1413058493\t8.620000\n1413059094\t8.620000\n1413059694\t8.690000\n1413060295\t8.500000\n1413060895\t8.560000\n1413061496\t8.120000\n1413062096\t7.940000\n1413062697\t7.940000\n1413063298\t7.880000\n1413063898\t8.000000\n1413064499\t7.880000\n1413065099\t7.810000\n1413065700\t7.810000\n1413066300\t7.940000\n1413066901\t8.000000\n1413067501\t8.000000\n1413068102\t8.060000\n1413068702\t7.940000\n1413069303\t8.060000\n1413069903\t8.120000\n1413070504\t8.060000\n1413071105\t8.000000\n1413071705\t7.690000\n1413072306\t7.440000\n1413072921\t7.560000\n1413073522\t7.620000\n1413074122\t7.690000\n1413074723\t7.810000\n1413075323\t7.940000\n1413075924\t8.000000\n1413076525\t8.000000\n1413077125\t8.120000\n1413077726\t8.060000\n1413078326\t7.940000\n1413078927\t8.000000\n1413079527\t8.060000\n1413080128\t8.060000\n1413080728\t8.120000\n1413081329\t8.120000\n1413081929\t8.060000\n1413082530\t8.190000\n1413083130\t8.250000\n1413083731\t8.120000\n1413084332\t8.190000\n1413084932\t8.190000\n1413085533\t8.120000\n1413086133\t8.190000\n1413086734\t8.000000\n1413087334\t8.120000\n1413087935\t8.190000\n1413088535\t8.250000\n1413089136\t8.310000\n1413089736\t8.380000\n1413090337\t8.380000\n1413090938\t8.500000\n1413091538\t8.560000\n1413092139\t8.620000\n1413092739\t8.690000\n1413093355\t8.810000\n1413093955\t8.940000\n1413094556\t9.120000\n1413095156\t9.190000\n1413095757\t9.380000\n1413096357\t9.440000\n1413096958\t9.560000\n1413097558\t9.750000\n1413098159\t9.810000\n1413098760\t9.880000\n1413099360\t9.880000\n1413099961\t9.940000\n1413100561\t10.060000\n1413101162\t10.120000\n1413101762\t10.310000\n1413102363\t10.380000\n1413102963\t10.310000\n1413103564\t10.440000\n1413104164\t10.440000\n1413104765\t10.440000\n1413105366\t10.500000\n1413105966\t10.440000\n1413106567\t10.440000\n1413107167\t10.500000\n1413107768\t10.560000\n1413108368\t10.620000\n1413108969\t10.620000\n1413109569\t10.690000\n1413110170\t10.750000\n1413110770\t10.750000\n1413111371\t10.750000\n1413111987\t10.750000\n1413112587\t10.750000\n1413113188\t10.750000\n1413113788\t10.810000\n1413114389\t10.810000\n1413114989\t11.000000\n1413115590\t11.190000\n1413116190\t11.250000\n1413116791\t11.380000\n1413117391\t11.560000\n1413117992\t11.500000\n1413118593\t11.380000\n1413119193\t11.310000\n1413119794\t11.380000\n1413120394\t11.380000\n1413120995\t11.380000\n1413121595\t11.500000\n1413122196\t11.500000\n1413122796\t11.500000\n1413123397\t11.380000\n1413123997\t11.310000\n1413124598\t11.250000\n1413125199\t11.190000\n1413125799\t11.190000\n1413126400\t11.060000\n1413127000\t11.060000\n1413127601\t11.060000\n1413128201\t11.000000\n1413128802\t11.000000\n1413129402\t11.060000\n1413130003\t11.060000\n1413130604\t11.000000\n1413131219\t11.000000\n1413131820\t10.940000\n1413132420\t10.940000\n1413133021\t10.940000\n1413133621\t10.940000\n1413134222\t10.940000\n1413134822\t10.880000\n1413135423\t10.750000\n1413136023\t10.620000\n1413136624\t10.560000\n1413137224\t10.560000\n1413137825\t10.500000\n1413138426\t10.380000\n1413139026\t10.310000\n1413139627\t10.120000\n1413140227\t10.060000\n1413140828\t10.190000\n1413141428\t10.250000\n1413142029\t10.250000\n1413142629\t10.250000\n1413143230\t10.190000\n1413143830\t10.190000\n1413144431\t10.060000\n1413145032\t10.060000\n1413145632\t9.880000\n1413146233\t9.690000\n1413146833\t9.620000\n1413147434\t9.500000\n1413148034\t9.310000\n1413148635\t9.190000\n1413149235\t9.060000\n1413149851\t9.000000\n1413150452\t9.000000\n1413151052\t8.880000\n1413151653\t8.690000\n1413152253\t8.690000\n1413152854\t8.810000\n1413153454\t8.810000\n1413154055\t9.000000\n1413154655\t9.190000\n1413155256\t9.310000\n1413155856\t9.310000\n1413156457\t9.250000\n1413157057\t9.190000\n1413157658\t9.190000\n1413158258\t9.250000\n1413158859\t9.250000\n1413159459\t9.310000\n1413160060\t9.380000\n1413160661\t9.380000\n1413161261\t9.440000\n1413161862\t9.380000\n1413162462\t9.120000\n1413163063\t9.060000\n1413163663\t9.060000\n1413164264\t9.000000\n1413164864\t9.060000\n1413165465\t9.060000\n1413166065\t9.120000\n1413166666\t9.190000\n1413167281\t9.250000\n1413167882\t9.250000\n1413168482\t9.250000\n1413169083\t9.250000\n1413169684\t9.060000\n1413170284\t9.000000\n1413170885\t8.880000\n1413171485\t8.750000\n1413172086\t8.560000\n1413172686\t8.440000\n1413173287\t8.380000\n1413173887\t8.500000\n1413174488\t8.620000\n1413175088\t8.690000\n1413175689\t8.690000\n1413176290\t8.750000\n1413176890\t8.750000\n1413177491\t8.810000\n1413178091\t8.810000\n1413178692\t8.880000\n1413179292\t8.880000\n1413179893\t8.940000\n1413180493\t9.000000\n1413181094\t9.000000\n1413181694\t9.120000\n1413182295\t9.190000\n1413182896\t9.250000\n1413183496\t9.380000\n1413184097\t9.310000\n1413184697\t9.440000\n1413185298\t9.620000\n1413185913\t9.750000\n1413186514\t9.810000\n1413187115\t9.940000\n1413187715\t10.060000\n1413188316\t10.000000\n1413188916\t10.120000\n1413189517\t10.190000\n1413190117\t10.190000\n1413190718\t10.310000\n1413191319\t10.120000\n1413191919\t10.120000\n1413192520\t10.250000\n1413193120\t10.380000\n1413193721\t10.440000\n1413194321\t10.380000\n1413194922\t10.500000\n1413195522\t10.560000\n1413196123\t10.620000\n1413196724\t10.880000\n1413197324\t11.000000\n1413197925\t10.880000\n1413198525\t10.750000\n1413199126\t10.560000\n1413199726\t10.560000\n1413200327\t10.620000\n1413200927\t10.750000\n1413201528\t10.880000\n1413202128\t11.000000\n1413202729\t11.120000\n1413203330\t11.310000\n1413203930\t11.440000\n1413204546\t11.250000\n1413205146\t11.190000\n1413205747\t11.190000\n1413206347\t11.190000\n1413206948\t11.500000\n1413207548\t11.310000\n1413208149\t11.440000\n1413208750\t11.620000\n1413209350\t11.620000\n1413209951\t11.500000\n1413210551\t11.060000\n1413211152\t10.810000\n1413211752\t10.750000\n1413212353\t10.620000\n1413212953\t10.500000\n1413213554\t10.500000\n1413214154\t10.440000\n1413214755\t10.250000\n1413215355\t10.190000\n1413215956\t10.060000\n1413216557\t9.880000\n1413217157\t9.750000\n1413217758\t9.560000\n1413218358\t9.250000\n1413218959\t9.000000\n1413219559\t8.810000\n1413220160\t8.560000\n1413220760\t8.440000\n1413221361\t8.190000\n1413221961\t8.120000\n1413222562\t8.060000\n1413223178\t7.750000\n1413223778\t7.620000\n1413224379\t7.560000\n1413224979\t7.500000\n1413225580\t7.440000\n1413226180\t7.440000\n1413226781\t7.120000\n1413227381\t7.250000\n1413227982\t7.250000\n1413228582\t7.500000\n1413229183\t7.690000\n1413229784\t7.750000\n1413230384\t7.880000\n1413230985\t8.000000\n1413231585\t8.000000\n1413232186\t8.060000\n1413232786\t8.060000\n1413233387\t8.060000\n1413233987\t8.000000\n1413234588\t8.000000\n1413235188\t7.940000\n1413235789\t8.000000\n1413236390\t7.750000\n1413236990\t7.880000\n1413237591\t7.880000\n1413238191\t7.880000\n1413238792\t7.750000\n1413239392\t7.750000\n1413239993\t7.750000\n1413240593\t7.810000\n1413241194\t7.810000\n1413241809\t7.880000\n1413242410\t7.750000\n1413243010\t7.620000\n1413243611\t7.620000\n1413244212\t7.690000\n1413244812\t7.620000\n1413245413\t7.750000\n1413246013\t7.810000\n1413246614\t7.810000\n1413247214\t7.880000\n1413247815\t7.940000\n1413248415\t7.940000\n1413249016\t7.880000\n1413249616\t7.940000\n1413250217\t7.940000\n1413250818\t8.000000\n1413251418\t8.000000\n1413252019\t8.000000\n1413252619\t7.940000\n1413253220\t7.940000\n1413253820\t8.000000\n1413254421\t8.060000\n1413255021\t8.060000\n1413255622\t7.940000\n1413256223\t7.940000\n1413256823\t7.880000\n1413257424\t7.810000\n1413258024\t7.880000\n1413258625\t7.880000\n1413259225\t7.940000\n1413259841\t7.940000\n1413260441\t7.940000\n1413261042\t7.940000\n1413261642\t7.810000\n1413262243\t7.880000\n1413262843\t7.880000\n1413263444\t7.880000\n1413264045\t7.750000\n1413264645\t7.750000\n1413265246\t7.560000\n1413265846\t7.690000\n1413266447\t7.440000\n1413267047\t7.440000\n1413267648\t7.500000\n1413268248\t7.440000\n1413268849\t7.500000\n1413269450\t7.500000\n1413270050\t7.620000\n1413270651\t7.750000\n1413271251\t8.000000\n1413271852\t8.060000\n1413272452\t8.310000\n1413273053\t8.250000\n1413273653\t8.380000\n1413274254\t8.440000\n1413274870\t8.500000\n1413275470\t8.560000\n1413276071\t8.750000\n1413276671\t9.000000\n1413277272\t9.250000\n1413277872\t9.380000\n1413278473\t9.500000\n1413279073\t9.560000\n1413279674\t9.690000\n1413280275\t9.750000\n1413280875\t9.380000\n1413281476\t9.620000\n1413282076\t9.750000\n1413282677\t9.810000\n1413283277\t10.060000\n1413283878\t10.060000\n1413284478\t10.060000\n1413285079\t10.250000\n1413285679\t10.310000\n1413286280\t10.310000\n1413286881\t10.250000\n1413287481\t10.310000\n1413288082\t10.440000\n1413288682\t10.560000\n1413289283\t10.560000\n1413289883\t10.880000\n1413290484\t10.560000\n1413291084\t10.620000\n1413291685\t10.620000\n1413292285\t10.690000\n1413292886\t10.620000\n1413293502\t10.620000\n1413294102\t10.500000\n1413294703\t10.560000\n1413295303\t10.500000\n1413295904\t10.440000\n1413296504\t10.380000\n1413297105\t10.380000\n1413297705\t10.310000\n1413298306\t10.190000\n1413298906\t10.120000\n1413299507\t10.060000\n1413300108\t10.000000\n1413300708\t9.940000\n1413301309\t9.880000\n1413301909\t9.750000\n1413302510\t9.690000\n1413303110\t9.620000\n1413303711\t9.500000\n1413304311\t9.440000\n1413304912\t9.310000\n1413305513\t9.250000\n1413306113\t9.190000\n1413306714\t9.120000\n1413307314\t9.120000\n1413307915\t9.060000\n1413308515\t9.000000\n1413309116\t8.880000\n1413309716\t8.810000\n1413310317\t8.810000\n1413310917\t8.690000\n1413311518\t8.620000\n1413312133\t8.560000\n1413312734\t8.500000\n1413313335\t8.440000\n1413313935\t8.380000\n1413314536\t8.380000\n1413315136\t8.380000\n1413315737\t8.380000\n1413316337\t8.310000\n1413316938\t8.310000\n1413317538\t8.250000\n1413318139\t8.250000\n1413318740\t8.250000\n1413319340\t8.250000\n1413319941\t8.250000\n1413320541\t8.190000\n1413321142\t8.190000\n1413321742\t8.120000\n1413322343\t8.120000\n1413322943\t8.060000\n1413323544\t8.060000\n1413324145\t8.000000\n1413324745\t8.000000\n1413325346\t7.940000\n1413325946\t7.880000\n1413326547\t7.880000\n1413327147\t7.810000\n1413327748\t7.810000\n1413328348\t7.750000\n1413328949\t7.690000\n1413329549\t7.620000\n1413330150\t7.620000\n1413330751\t7.620000\n1413331366\t7.620000\n1413331967\t7.620000\n1413332567\t7.560000\n1413333168\t7.620000\n1413333768\t7.560000\n1413334369\t7.620000\n1413334969\t7.620000\n1413335570\t7.620000\n1413336170\t7.620000\n1413336771\t7.560000\n1413337371\t7.620000\n1413337972\t7.620000\n1413338573\t7.560000\n1413339173\t7.620000\n1413339774\t7.560000\n1413340374\t7.560000\n1413340975\t7.560000\n1413341575\t7.560000\n1413342176\t7.560000\n1413342776\t7.560000\n1413343377\t7.560000\n1413343977\t7.620000\n1413344578\t7.690000\n1413345179\t7.750000\n1413345779\t7.750000\n1413346380\t7.750000\n1413346980\t7.690000\n1413347581\t7.690000\n1413348181\t7.690000\n1413348782\t7.620000\n1413349382\t7.620000\n1413349998\t7.620000\n1413350598\t7.620000\n1413351199\t7.620000\n1413351800\t7.690000\n1413352400\t7.690000\n1413353001\t7.750000\n1413353601\t7.750000\n1413354202\t7.810000\n1413354802\t7.810000\n1413355403\t7.880000\n1413356003\t7.940000\n1413356604\t8.060000\n1413357204\t8.120000\n1413357805\t8.190000\n1413358406\t8.250000\n1413359006\t8.310000\n1413359607\t8.310000\n1413360207\t8.440000\n1413360808\t8.560000\n1413361408\t8.690000\n1413362009\t8.880000\n1413362609\t9.060000\n1413363210\t9.190000\n1413363810\t9.120000\n1413364411\t9.380000\n1413365011\t9.380000\n1413365612\t9.620000\n1413366213\t9.380000\n1413366813\t9.310000\n1413367414\t9.560000\n1413368014\t9.810000\n1413368615\t9.940000\n1413369230\t10.060000\n1413369831\t10.190000\n1413370432\t10.190000\n1413371032\t10.060000\n1413371633\t10.000000\n1413372233\t10.190000\n1413372834\t10.380000\n1413373434\t10.380000\n1413374035\t10.120000\n1413374635\t10.120000\n1413375236\t10.000000\n1413375837\t9.880000\n1413376437\t9.750000\n1413377038\t10.250000\n1413377638\t10.380000\n1413378239\t10.310000\n1413378839\t10.250000\n1413379440\t9.940000\n1413380040\t9.500000\n1413380641\t9.380000\n1413381241\t9.060000\n1413381842\t9.000000\n1413382442\t9.000000\n1413383043\t8.880000\n1413383644\t8.750000\n1413384244\t8.560000\n1413384845\t8.440000\n1413385445\t8.380000\n1413386046\t8.250000\n1413386646\t8.190000\n1413387247\t8.190000\n1413387862\t7.940000\n1413388463\t7.750000\n1413389064\t7.690000\n1413389664\t7.440000\n1413390265\t7.380000\n1413390865\t7.310000\n1413391466\t7.310000\n1413392066\t7.190000\n1413392667\t7.120000\n1413393267\t7.120000\n1413393868\t7.120000\n1413394468\t7.120000\n1413395069\t6.940000\n1413395670\t6.880000\n1413396270\t6.750000\n1413396871\t6.750000\n1413397471\t6.620000\n1413398072\t6.500000\n1413398672\t6.500000\n1413399273\t6.380000\n1413399873\t6.310000\n1413400474\t6.190000\n1413401074\t6.120000\n1413401675\t6.120000\n1413402276\t6.000000\n1413402876\t6.000000\n1413403477\t5.880000\n1413404077\t5.810000\n1413404678\t5.690000\n1413405278\t5.690000\n1413405879\t5.500000\n1413406479\t5.500000\n1413407095\t5.440000\n1413407696\t5.380000\n1413408296\t5.310000\n1413408897\t5.190000\n1413409497\t5.190000\n1413410098\t5.120000\n1413410698\t5.190000\n1413411299\t5.120000\n1413411899\t5.120000\n1413412500\t5.060000\n1413413101\t5.060000\n1413413701\t5.060000\n1413414302\t5.120000\n1413414902\t5.120000\n1413415503\t5.060000\n1413416103\t5.000000\n1413416704\t5.000000\n1413417304\t4.880000\n1413417905\t4.880000\n1413418506\t4.810000\n1413419106\t4.810000\n1413419707\t4.750000\n1413420307\t4.750000\n1413420908\t4.620000\n1413421508\t4.620000\n1413422109\t4.620000\n1413422709\t4.500000\n1413423310\t4.440000\n1413423911\t4.440000\n1413424511\t4.380000\n1413425112\t4.380000\n1413425712\t4.440000\n1413426328\t4.440000\n1413426928\t4.380000\n1413427529\t4.380000\n1413428129\t4.380000\n1413428730\t4.440000\n1413429330\t4.440000\n1413429931\t4.380000\n1413430532\t4.380000\n1413431132\t4.310000\n1413431733\t4.310000\n1413432333\t4.310000\n1413432934\t4.310000\n1413433534\t4.250000\n1413434135\t4.250000\n1413434735\t4.190000\n1413435336\t4.250000\n1413435936\t4.190000\n1413436537\t4.190000\n1413437138\t4.190000\n1413437738\t4.190000\n1413438339\t4.250000\n1413438939\t4.190000\n1413439555\t4.250000\n1413440155\t4.380000\n1413440756\t4.440000\n1413441356\t4.500000\n1413441957\t4.500000\n1413442558\t4.620000\n1413443158\t4.810000\n1413443759\t4.940000\n1413444359\t5.000000\n1413444960\t5.060000\n1413445560\t5.190000\n1413446161\t5.060000\n1413446761\t5.120000\n1413447362\t5.120000\n1413447962\t5.190000\n1413448563\t5.310000\n1413449163\t5.560000\n1413449764\t5.750000\n1413450364\t5.810000\n1413450965\t5.690000\n1413451566\t5.810000\n1413452166\t6.060000\n1413452767\t6.190000\n1413453367\t6.380000\n1413453968\t6.620000\n1413454568\t6.500000\n1413455169\t6.440000\n1413455770\t6.440000\n1413456370\t6.560000\n1413456971\t6.750000\n1413457571\t7.060000\n1413458172\t7.380000\n1413458772\t7.120000\n1413459373\t7.060000\n1413459973\t7.060000\n1413460574\t7.120000\n1413461190\t7.250000\n1413461790\t7.250000\n1413462391\t7.500000\n1413462991\t7.620000\n1413463592\t7.620000\n1413464192\t7.560000\n1413464793\t7.440000\n1413465393\t7.380000\n1413465994\t7.250000\n1413466594\t7.190000\n1413467195\t7.120000\n1413467795\t7.190000\n1413468396\t7.250000\n1413468996\t7.190000\n1413469597\t7.120000\n1413470198\t7.120000\n1413470798\t7.060000\n1413471399\t7.000000\n1413471999\t7.000000\n1413472600\t7.000000\n1413473200\t6.940000\n1413473801\t6.940000\n1413474401\t6.880000\n1413475002\t6.880000\n1413475602\t6.880000\n1413476203\t6.810000\n1413476804\t6.750000\n1413477404\t6.810000\n1413478005\t6.810000\n1413478605\t6.810000\n1413479206\t6.810000\n1413479821\t6.810000\n1413480422\t6.810000\n1413481022\t6.810000\n1413481623\t6.750000\n1413482223\t6.810000\n1413482824\t6.810000\n1413483424\t6.750000\n1413484025\t6.750000\n1413484625\t6.750000\n1413485226\t6.690000\n1413485827\t6.690000\n1413486427\t6.560000\n1413487028\t6.500000\n1413487628\t6.500000\n1413488229\t6.500000\n1413488829\t6.560000\n1413489430\t6.500000\n1413490030\t6.500000\n1413490631\t6.250000\n1413491231\t6.060000\n1413491832\t5.880000\n1413492432\t5.750000\n1413493033\t5.690000\n1413493634\t5.690000\n1413494234\t5.620000\n1413494835\t5.560000\n1413495435\t5.560000\n1413496051\t5.440000\n1413496651\t5.440000\n1413497252\t5.440000\n1413497853\t5.380000\n1413498468\t5.310000\n1413499069\t5.250000\n1413499669\t5.120000\n1413500270\t5.000000\n1413500870\t4.810000\n1413501471\t4.810000\n1413502071\t4.750000\n1413502672\t4.690000\n1413503272\t4.560000\n1413503873\t4.560000\n1413504473\t4.620000\n1413505074\t4.810000\n1413505674\t5.000000\n1413506275\t5.000000\n1413506876\t5.000000\n1413507476\t4.940000\n1413508077\t4.880000\n1413508677\t4.880000\n1413509278\t4.620000\n1413509878\t4.560000\n1413510479\t4.620000\n1413511079\t4.750000\n1413511680\t4.810000\n1413512280\t4.810000\n1413512881\t4.810000\n1413513481\t4.880000\n1413514082\t4.880000\n1413514682\t4.810000\n1413515283\t4.810000\n1413515883\t4.750000\n1413516484\t4.750000\n1413517085\t4.750000\n1413517685\t4.750000\n1413518286\t4.750000\n1413518886\t4.810000\n1413519487\t4.810000\n1413520087\t4.810000\n1413520688\t4.810000\n1413521288\t4.810000\n1413521889\t4.810000\n1413522489\t4.750000\n1413523090\t4.750000\n1413523691\t4.690000\n1413524291\t4.690000\n1413524892\t4.690000\n1413525492\t4.690000\n1413526093\t4.810000\n1413526693\t4.880000\n1413527294\t5.000000\n1413527895\t5.060000\n1413528495\t5.190000\n1413529096\t5.310000\n1413529696\t5.500000\n1413530297\t5.690000\n1413530897\t5.880000\n1413531498\t6.000000\n1413532098\t6.380000\n1413532699\t6.440000\n1413533314\t6.440000\n1413533915\t6.620000\n1413534516\t6.690000\n1413535116\t6.690000\n1413535717\t6.560000\n1413536317\t6.620000\n1413536918\t6.690000\n1413537518\t6.620000\n1413538119\t6.690000\n1413538719\t6.810000\n1413539320\t6.940000\n1413539921\t7.120000\n1413540521\t7.060000\n1413541122\t7.120000\n1413541722\t7.250000\n1413542323\t7.440000\n1413542923\t7.690000\n1413543524\t7.880000\n1413544124\t8.000000\n1413544725\t8.500000\n1413545325\t9.060000\n1413545926\t9.060000\n1413546526\t8.560000\n1413547127\t8.620000\n1413547727\t8.310000\n1413548328\t8.190000\n1413548944\t8.380000\n1413549544\t8.310000\n1413550145\t8.500000\n1413550745\t8.500000\n1413551346\t8.380000\n1413551946\t8.310000\n1413552547\t8.000000\n1413553147\t8.000000\n1413553748\t7.690000\n1413554348\t7.690000\n1413554949\t7.560000\n1413555549\t7.380000\n1413556150\t7.250000\n1413556751\t7.060000\n1413557351\t6.810000\n1413557952\t6.620000\n1413558552\t6.880000\n1413559153\t6.810000\n1413559753\t6.750000\n1413560354\t6.560000\n1413560954\t6.440000\n1413561555\t6.380000\n1413562155\t6.250000\n1413562756\t6.120000\n1413563357\t6.060000\n1413563957\t6.000000\n1413564558\t5.880000\n1413565158\t5.750000\n1413565759\t5.620000\n1413566359\t5.500000\n1413566960\t5.440000\n1413567560\t5.380000\n1413568176\t5.440000\n1413568777\t5.310000\n1413569377\t5.120000\n1413569978\t5.060000\n1413570578\t5.000000\n1413571179\t4.810000\n1413571779\t4.810000\n1413572380\t4.560000\n1413572980\t4.500000\n1413573581\t4.380000\n1413574181\t4.310000\n1413574782\t4.190000\n1413575383\t4.120000\n1413575983\t4.000000\n1413576584\t3.880000\n1413577184\t3.810000\n1413577785\t3.750000\n1413578385\t3.690000\n1413578986\t3.620000\n1413579586\t3.380000\n1413580187\t3.310000\n1413580787\t3.440000\n1413581388\t3.380000\n1413581989\t3.250000\n1413582589\t3.190000\n1413583190\t2.880000\n1413583790\t3.000000\n1413584391\t2.940000\n1413584991\t2.810000\n1413585607\t2.750000\n1413586207\t2.690000\n1413586808\t2.380000\n1413587408\t2.500000\n1413588009\t2.440000\n1413588609\t2.120000\n1413589210\t2.060000\n1413589810\t2.060000\n1413590411\t2.120000\n1413591012\t2.000000\n1413591612\t2.000000\n1413592213\t2.000000\n1413592813\t1.750000\n1413593414\t1.690000\n1413594014\t1.380000\n1413594615\t1.690000\n1413595215\t1.560000\n1413595816\t1.750000\n1413596417\t1.810000\n1413597017\t1.810000\n1413597618\t1.880000\n1413598218\t1.940000\n1413598819\t1.940000\n1413599419\t1.560000\n1413600020\t1.750000\n1413600620\t1.690000\n1413601221\t1.810000\n1413601821\t1.940000\n1413602437\t2.060000\n1413603038\t2.000000\n1413603638\t2.060000\n1413604239\t1.810000\n1413604839\t1.940000\n1413605440\t2.060000\n1413606040\t2.190000\n1413606641\t2.000000\n1413607241\t2.120000\n1413607842\t2.250000\n1413608442\t2.380000\n1413609043\t2.190000\n1413609643\t2.060000\n1413610244\t2.380000\n1413610844\t2.190000\n1413611445\t2.190000\n1413612046\t2.060000\n1413612646\t2.000000\n1413613247\t2.060000\n1413613847\t2.310000\n1413614448\t2.440000\n1413615048\t2.620000\n1413615649\t2.810000\n1413616249\t3.060000\n1413616850\t3.310000\n1413617450\t3.620000\n1413618051\t4.120000\n1413618652\t4.620000\n1413619252\t4.810000\n1413619853\t5.250000\n1413620468\t5.620000\n1413621069\t5.880000\n1413621669\t6.380000\n1413622270\t6.690000\n1413622870\t6.880000\n1413623471\t6.880000\n1413624071\t7.120000\n1413624672\t7.060000\n1413625272\t7.250000\n1413625873\t7.250000\n1413626474\t7.190000\n1413627074\t7.250000\n1413627675\t7.560000\n1413628275\t7.440000\n1413628876\t7.380000\n1413629476\t7.440000\n1413630077\t7.440000\n1413630677\t7.560000\n1413631278\t7.500000\n1413631878\t7.440000\n1413632479\t7.380000\n1413633079\t7.380000\n1413633680\t7.440000\n1413634281\t7.560000\n1413634881\t7.690000\n1413635482\t7.620000\n1413636082\t7.620000\n1413636683\t7.560000\n1413637283\t7.500000\n1413637884\t7.560000\n1413638499\t7.560000\n1413639100\t7.620000\n1413639701\t7.560000\n1413640301\t7.690000\n1413640902\t7.690000\n1413641502\t7.750000\n1413642103\t7.810000\n1413642703\t7.810000\n1413643304\t7.810000\n1413643905\t7.880000\n1413644505\t7.880000\n1413645106\t7.880000\n1413645706\t7.880000\n1413646307\t7.880000\n1413646907\t7.880000\n1413647508\t7.880000\n1413648108\t7.940000\n1413648709\t7.880000\n1413649309\t7.940000\n1413649910\t7.940000\n1413650511\t7.940000\n1413651111\t8.000000\n1413651712\t8.000000\n1413652312\t8.000000\n1413652913\t8.000000\n1413653513\t8.000000\n1413654114\t8.060000\n1413654714\t8.060000\n1413655315\t8.060000\n1413655915\t8.120000\n1413656531\t8.120000\n1413657131\t8.190000\n1413657732\t8.250000\n1413658333\t8.250000\n1413658933\t8.310000\n1413659534\t8.380000\n1413660134\t8.440000\n1413660735\t8.440000\n1413661335\t8.500000\n1413661936\t8.560000\n1413662536\t8.560000\n1413663137\t8.690000\n1413663737\t8.620000\n1413664338\t8.750000\n1413664938\t8.750000\n1413665539\t8.810000\n1413666140\t8.810000\n1413666740\t8.810000\n1413667341\t8.880000\n1413667941\t8.880000\n1413668542\t8.940000\n1413669142\t9.000000\n1413669743\t9.060000\n1413670343\t9.120000\n1413670944\t9.120000\n1413671544\t9.190000\n1413672145\t9.250000\n1413672745\t9.250000\n1413673346\t9.310000\n1413673946\t9.310000\n1413674547\t9.310000\n1413675163\t9.380000\n1413675763\t9.380000\n1413676364\t9.440000\n1413676964\t9.560000\n1413677565\t9.620000\n1413678165\t9.690000\n1413678766\t9.750000\n1413679366\t9.750000\n1413679967\t9.810000\n1413680568\t9.810000\n1413681168\t9.880000\n1413681769\t9.880000\n1413682369\t9.940000\n1413682970\t9.940000\n1413683570\t10.060000\n1413684171\t10.120000\n1413684771\t10.190000\n1413685372\t10.250000\n1413685973\t10.380000\n1413686573\t10.380000\n1413687174\t10.500000\n1413687774\t10.620000\n1413688375\t10.750000\n1413688975\t11.000000\n1413689576\t11.190000\n1413690176\t11.380000\n1413690777\t11.500000\n1413691378\t11.560000\n1413691978\t11.810000\n1413692579\t12.000000\n1413693179\t12.190000\n1413693780\t12.190000\n1413694395\t12.310000\n1413694996\t12.500000\n1413695596\t12.500000\n1413696197\t12.500000\n1413696798\t12.560000\n1413697398\t12.690000\n1413697999\t12.690000\n1413698599\t12.690000\n1413699200\t12.810000\n1413699800\t12.810000\n1413700401\t12.940000\n1413701001\t13.000000\n1413701602\t13.120000\n1413702202\t13.380000\n1413702803\t13.750000\n1413703404\t13.750000\n1413704004\t13.750000\n1413704605\t14.060000\n1413705205\t14.190000\n1413705806\t14.190000\n1413706406\t14.310000\n1413707007\t14.380000\n1413707607\t14.440000\n1413708208\t14.560000\n1413708808\t14.560000\n1413709409\t14.560000\n1413710009\t14.750000\n1413710610\t14.750000\n1413711211\t15.000000\n1413711811\t15.000000\n1413712427\t14.880000\n1413713027\t14.940000\n1413713628\t15.000000\n1413714228\t15.060000\n1413714829\t15.120000\n1413715429\t15.190000\n1413716030\t15.190000\n1413716631\t15.310000\n1413717231\t15.310000\n1413717832\t15.120000\n1413718432\t15.190000\n1413719033\t15.250000\n1413719633\t15.310000\n1413720234\t15.440000\n1413720834\t15.620000\n1413721435\t15.940000\n1413722035\t15.810000\n1413722636\t15.750000\n1413723237\t15.690000\n1413723837\t15.560000\n1413724438\t15.620000\n1413725038\t15.500000\n1413725639\t15.560000\n1413726239\t15.440000\n1413726840\t15.380000\n1413727440\t15.310000\n1413728041\t15.250000\n1413728641\t15.190000\n1413729242\t15.190000\n1413729842\t15.000000\n1413730443\t14.880000\n1413731044\t14.880000\n1413731659\t14.690000\n1413732260\t14.500000\n1413732860\t14.380000\n1413733461\t14.250000\n1413734061\t14.380000\n1413734662\t14.310000\n1413735262\t14.190000\n1413735863\t14.190000\n1413736463\t14.120000\n1413737064\t13.940000\n1413737665\t13.880000\n1413738265\t13.880000\n1413738866\t13.810000\n1413739466\t13.880000\n1413740067\t13.810000\n1413740667\t13.750000\n1413741268\t13.690000\n1413741868\t13.690000\n1413742469\t13.690000\n1413743069\t13.690000\n1413743670\t13.690000\n1413744270\t13.620000\n1413744871\t13.560000\n1413745471\t13.620000\n1413746072\t13.560000\n1413746672\t13.560000\n1413747273\t13.620000\n1413747889\t13.620000\n1413748489\t13.620000\n1413749090\t13.500000\n1413749690\t13.380000\n1413750291\t13.190000\n1413750891\t13.120000\n1413751492\t12.940000\n1413752092\t12.750000\n1413752693\t12.690000\n1413753294\t12.620000\n1413753894\t12.620000\n1413754495\t12.620000\n1413755095\t12.560000\n1413755696\t12.440000\n1413756296\t12.380000\n1413756897\t12.250000\n1413757497\t12.310000\n1413758098\t12.380000\n1413758698\t12.380000\n1413759299\t12.500000\n1413759899\t12.500000\n1413760500\t12.500000\n1413761100\t12.500000\n1413761701\t12.440000\n1413762301\t12.380000\n1413762902\t12.380000\n1413763503\t12.310000\n1413764103\t12.310000\n1413764704\t12.310000\n1413765304\t12.310000\n1413765905\t12.310000\n1413766520\t12.440000\n1413767121\t12.440000\n1413767721\t12.380000\n1413768322\t12.440000\n1413768923\t12.440000\n1413769523\t12.440000\n1413770124\t12.380000\n1413770724\t12.380000\n1413771325\t12.380000\n1413771925\t12.440000\n1413772526\t12.500000\n1413773126\t12.440000\n1413773727\t12.500000\n1413774327\t12.560000\n1413774928\t12.500000\n1413775528\t12.500000\n1413776129\t12.500000\n1413776730\t12.440000\n1413777330\t12.310000\n1413777931\t12.190000\n1413778531\t12.120000\n1413779132\t12.060000\n1413779732\t11.940000\n1413780333\t11.940000\n1413780933\t12.000000\n1413781534\t12.060000\n1413782134\t12.060000\n1413782735\t12.000000\n1413783336\t12.000000\n1413783936\t12.000000\n1413784552\t12.000000\n1413785152\t11.940000\n1413785753\t12.000000\n1413786353\t12.000000\n1413786954\t12.060000\n1413787554\t12.060000\n1413788155\t12.000000\n1413788755\t12.000000\n1413789356\t12.000000\n1413789956\t12.060000\n1413790557\t12.190000\n1413791158\t12.250000\n1413791758\t12.250000\n1413792359\t12.380000\n1413792959\t12.500000\n1413793560\t12.620000\n1413794160\t12.620000\n1413794761\t12.690000\n1413795361\t12.690000\n1413795962\t12.810000\n1413796563\t12.880000\n1413797163\t12.880000\n1413797764\t12.880000\n1413798364\t12.940000\n1413798965\t12.940000\n1413799565\t12.880000\n1413800166\t12.750000\n1413800766\t12.620000\n1413801367\t12.500000\n1413801968\t12.310000\n1413802583\t12.380000\n1413803184\t12.440000\n1413803784\t12.440000\n1413804385\t12.500000\n1413804985\t12.620000\n1413805586\t12.810000\n1413806186\t12.940000\n1413806787\t12.880000\n1413807388\t12.750000\n1413807988\t12.690000\n1413808589\t12.620000\n1413809189\t12.690000\n1413809790\t12.560000\n1413810390\t12.120000\n1413810991\t11.940000\n1413811591\t11.880000\n1413812192\t11.620000\n1413812792\t11.440000\n1413813393\t11.380000\n1413813993\t11.250000\n1413814594\t11.060000\n1413815195\t11.060000\n1413815795\t11.000000\n1413816396\t10.810000\n1413816996\t10.690000\n1413817597\t10.560000\n1413818197\t10.380000\n1413818798\t10.310000\n1413819398\t10.060000\n1413819999\t9.940000\n1413820599\t9.940000\n1413821200\t9.880000\n1413821816\t9.810000\n1413822416\t9.690000\n1413823017\t9.620000\n1413823617\t9.560000\n1413824218\t9.560000\n1413824818\t9.440000\n1413825419\t9.380000\n1413826019\t9.380000\n1413826620\t9.310000\n1413827221\t9.250000\n1413827821\t9.250000\n1413828422\t9.250000\n1413829022\t9.190000\n1413829623\t9.000000\n1413830223\t8.810000\n1413830824\t8.810000\n1413831424\t8.750000\n1413832025\t8.940000\n1413832625\t8.880000\n1413833226\t8.810000\n1413833827\t8.690000\n1413834427\t8.690000\n1413835028\t8.620000\n1413835628\t8.560000\n1413836229\t8.500000\n1413836829\t8.440000\n1413837430\t8.500000\n1413838030\t8.500000\n1413838631\t8.440000\n1413839231\t8.500000\n1413839832\t8.310000\n1413840433\t8.250000\n1413841033\t8.120000\n1413841634\t8.190000\n1413842249\t8.190000\n1413842850\t8.250000\n1413843450\t8.250000\n1413844051\t8.250000\n1413844651\t8.190000\n1413845252\t8.060000\n1413845852\t8.000000\n1413846453\t8.060000\n1413847054\t8.060000\n1413847654\t8.120000\n1413848255\t8.060000\n1413848855\t7.880000\n1413849456\t7.880000\n1413850056\t7.940000\n1413850657\t8.000000\n1413851257\t8.060000\n1413851858\t8.000000\n1413852459\t7.880000\n1413853059\t7.880000\n1413853660\t7.880000\n1413854260\t7.750000\n1413854861\t7.810000\n1413855461\t7.620000\n1413856062\t7.690000\n1413856662\t7.690000\n1413857263\t7.750000\n1413857864\t7.690000\n1413858464\t7.690000\n1413859065\t7.500000\n1413859665\t7.500000\n1413860266\t7.380000\n1413860866\t7.310000\n1413861467\t7.250000\n1413862082\t7.250000\n1413862683\t7.190000\n1413863283\t7.190000\n1413863884\t7.120000\n1413864485\t7.120000\n1413865085\t7.190000\n1413865686\t7.120000\n1413866286\t7.060000\n1413866887\t7.060000\n1413867487\t7.120000\n1413868088\t7.060000\n1413868688\t7.190000\n1413869289\t7.120000\n1413869890\t7.060000\n1413870490\t7.060000\n1413871091\t7.120000\n1413871691\t7.060000\n1413872292\t7.000000\n1413872892\t7.000000\n1413873493\t7.060000\n1413874093\t7.120000\n1413874694\t7.000000\n1413875295\t7.060000\n1413875895\t7.120000\n1413876496\t7.120000\n1413877096\t7.120000\n1413877697\t7.120000\n1413878297\t7.060000\n1413878898\t7.120000\n1413879498\t7.120000\n1413880099\t7.120000\n1413880699\t7.060000\n1413881300\t7.190000\n1413881900\t7.190000\n1413882516\t7.190000\n1413883116\t7.250000\n1413883717\t7.380000\n1413884318\t7.440000\n1413884918\t7.500000\n1413885519\t7.500000\n1413886119\t7.500000\n1413886720\t7.500000\n1413887320\t7.620000\n1413887921\t7.690000\n1413888521\t7.750000\n1413889122\t7.750000\n1413889722\t7.620000\n1413890323\t7.690000\n1413890923\t7.750000\n1413891524\t7.750000\n1413892125\t7.810000\n1413892725\t7.880000\n1413893326\t7.880000\n1413893926\t7.880000\n1413894527\t7.880000\n1413895127\t7.880000\n1413895728\t7.940000\n1413896328\t7.940000\n1413896929\t7.940000\n1413897529\t7.940000\n1413898130\t7.940000\n1413898730\t7.940000\n1413899331\t7.940000\n1413899932\t7.940000\n1413900532\t7.940000\n1413901133\t8.000000\n1413901733\t8.000000\n1413902349\t8.000000\n1413902949\t8.000000\n1413903550\t8.000000\n1413904150\t8.000000\n1413904751\t8.000000\n1413905351\t8.000000\n1413905952\t8.000000\n1413906552\t8.000000\n1413907153\t8.000000\n1413907753\t8.000000\n1413908354\t7.940000\n1413908955\t8.000000\n1413909555\t7.940000\n1413910156\t7.940000\n1413910756\t7.940000\n1413911357\t7.940000\n1413911957\t7.940000\n1413912558\t7.940000\n1413913158\t8.000000\n1413913759\t8.000000\n1413914359\t7.940000\n1413914960\t8.000000\n1413915561\t8.000000\n1413916161\t7.940000\n1413916762\t8.000000\n1413917362\t7.940000\n1413917963\t7.880000\n1413918563\t7.940000\n1413919164\t7.940000\n1413919764\t8.000000\n1413920380\t8.060000\n1413920981\t8.060000\n1413921581\t8.120000\n1413922182\t8.120000\n1413922782\t8.060000\n1413923383\t8.000000\n1413923983\t7.940000\n1413924584\t7.880000\n1413925184\t7.810000\n1413925785\t7.810000\n1413926386\t7.750000\n1413926986\t7.690000\n1413927587\t7.620000\n1413928187\t7.560000\n1413928788\t7.560000\n1413929388\t7.500000\n1413929989\t7.440000\n1413930589\t7.440000\n1413931190\t7.380000\n1413931791\t7.380000\n1413932391\t7.380000\n1413932992\t7.380000\n1413933592\t7.310000\n1413934193\t7.310000\n1413934793\t7.310000\n1413935394\t7.250000\n1413935994\t7.250000\n1413936595\t7.190000\n1413937196\t7.190000\n1413937796\t7.190000\n1413938397\t7.120000\n1413938997\t7.120000\n1413939613\t7.060000\n1413940213\t7.000000\n1413940814\t6.940000\n1413941414\t6.940000\n1413942015\t6.940000\n1413942616\t6.940000\n1413943216\t6.940000\n1413943817\t6.810000\n1413944417\t6.750000\n1413945018\t6.690000\n1413945618\t6.690000\n1413946219\t6.690000\n1413946819\t6.750000\n1413947420\t6.690000\n1413948020\t6.690000\n1413948621\t6.560000\n1413949222\t6.500000\n1413949822\t6.440000\n1413950423\t6.380000\n1413951023\t6.310000\n1413951624\t6.250000\n1413952224\t6.250000\n1413952825\t6.120000\n1413953425\t6.060000\n1413954026\t5.940000\n1413954627\t5.880000\n1413955227\t5.750000\n1413955828\t5.620000\n1413956428\t5.620000\n1413957029\t5.560000\n1413957629\t5.440000\n1413958245\t5.380000\n1413958845\t5.310000\n1413959446\t5.250000\n1413960046\t5.250000\n1413960647\t5.250000\n1413961247\t5.250000\n1413961848\t5.190000\n1413962449\t5.190000\n1413963049\t5.120000\n1413963650\t5.190000\n1413964250\t5.190000\n1413964851\t5.060000\n1413965451\t5.060000\n1413966052\t5.000000\n1413966652\t5.120000\n1413967253\t5.060000\n1413967853\t5.000000\n1413968454\t5.190000\n1413969054\t5.120000\n1413969655\t5.120000\n1413970256\t5.120000\n1413970856\t5.250000\n1413971457\t5.380000\n1413972057\t5.380000\n1413972658\t5.620000\n1413973258\t5.620000\n1413973874\t5.690000\n1413974474\t5.690000\n1413975075\t5.810000\n1413975676\t5.690000\n1413976276\t5.750000\n1413976877\t5.940000\n1413977477\t5.940000\n1413978078\t6.000000\n1413978678\t6.000000\n1413979279\t6.060000\n1413979879\t6.000000\n1413980480\t5.940000\n1413981080\t5.750000\n1413981681\t5.750000\n1413982281\t5.750000\n1413982882\t5.750000\n1413983483\t5.560000\n1413984083\t5.880000\n1413984684\t5.940000\n1413985284\t5.940000\n1413985885\t5.750000\n1413986485\t6.000000\n1413987086\t6.190000\n1413987686\t6.060000\n1413988287\t5.750000\n1413988887\t5.380000\n1413989488\t5.120000\n1413990089\t5.000000\n1413990689\t4.880000\n1413991290\t4.750000\n1413991890\t4.690000\n1413992491\t4.690000\n1413993106\t4.620000\n1413993707\t4.500000\n1413994307\t4.440000\n1413994908\t4.310000\n1413995508\t4.250000\n1413996109\t4.250000\n1413996710\t4.250000\n1413997310\t4.120000\n1413997911\t4.060000\n1413998511\t4.120000\n1413999112\t4.060000\n1413999712\t4.060000\n1414000313\t4.000000\n1414000913\t4.120000\n1414001514\t4.190000\n1414002114\t4.120000\n1414002715\t4.120000\n1414003316\t4.000000\n1414003916\t3.810000\n1414004517\t3.690000\n1414005117\t3.620000\n1414005718\t3.620000\n1414006318\t3.620000\n1414006919\t3.500000\n1414007519\t3.380000\n1414008120\t3.440000\n1414008721\t3.380000\n1414009321\t3.380000\n1414009922\t3.250000\n1414010522\t3.190000\n1414011123\t3.190000\n1414011723\t3.190000\n1414012339\t3.250000\n1414012939\t3.500000\n1414013540\t3.690000\n1414014141\t3.690000\n1414014741\t3.690000\n1414015342\t3.690000\n1414015942\t3.750000\n1414016543\t3.750000\n1414017143\t3.690000\n1414017744\t3.750000\n1414018344\t3.750000\n1414018945\t3.750000\n1414019546\t3.690000\n1414020146\t3.500000\n1414020747\t3.380000\n1414021347\t3.190000\n1414021948\t3.380000\n1414022548\t3.560000\n1414023149\t3.690000\n1414023749\t3.750000\n1414024350\t3.620000\n1414024950\t3.750000\n1414025551\t3.750000\n1414026151\t3.750000\n1414026752\t3.750000\n1414027352\t3.750000\n1414027968\t3.750000\n1414028569\t3.750000\n1414029169\t3.810000\n1414029770\t3.810000\n1414030370\t3.750000\n1414030971\t3.750000\n1414031571\t3.620000\n1414032172\t3.690000\n1414032772\t3.690000\n1414033373\t3.690000\n1414033973\t3.690000\n1414034574\t3.690000\n1414035174\t3.690000\n1414035775\t3.620000\n1414036376\t3.620000\n1414036976\t3.690000\n1414037577\t3.620000\n1414038177\t3.690000\n1414038778\t3.750000\n1414039378\t3.750000\n1414039979\t3.810000\n1414040579\t3.750000\n1414041180\t3.620000\n1414041780\t3.620000\n1414042381\t3.690000\n1414042982\t3.690000\n1414043582\t3.750000\n1414044198\t3.810000\n1414044798\t3.940000\n1414045399\t3.940000\n1414045999\t4.060000\n1414046600\t4.190000\n1414047200\t4.250000\n1414047801\t4.310000\n1414048401\t4.250000\n1414049002\t4.500000\n1414049603\t4.750000\n1414050203\t4.750000\n1414050804\t4.940000\n1414051404\t5.310000\n1414052005\t5.560000\n1414052605\t5.560000\n1414053206\t5.310000\n1414053806\t5.310000\n1414054407\t5.310000\n1414055007\t5.310000\n1414055608\t5.310000\n1414056209\t5.250000\n1414056809\t5.250000\n1414057410\t5.190000\n1414058010\t5.250000\n1414058611\t5.250000\n1414059211\t5.250000\n1414059812\t5.250000\n1414060412\t5.310000\n1414061013\t5.440000\n1414061614\t5.560000\n1414062214\t5.690000\n1414062815\t5.750000\n1414063430\t5.750000\n1414064031\t5.690000\n1414064631\t5.690000\n1414065232\t5.750000\n1414065832\t5.560000\n1414066433\t5.500000\n1414067033\t5.560000\n1414067634\t5.620000\n1414068234\t5.750000\n1414068835\t5.750000\n1414069436\t5.690000\n1414070036\t5.620000\n1414070637\t5.620000\n1414071237\t5.620000\n1414071838\t5.620000\n1414072438\t5.500000\n1414073039\t5.440000\n1414073639\t5.380000\n1414074240\t5.380000\n1414074840\t5.380000\n1414075441\t5.380000\n1414076042\t5.310000\n1414076642\t5.250000\n1414077243\t5.190000\n1414077843\t5.190000\n1414078444\t5.190000\n1414079044\t5.060000\n1414079645\t5.000000\n1414080245\t4.940000\n1414080846\t4.880000\n1414081462\t4.810000\n1414082062\t4.810000\n1414082663\t4.750000\n1414083263\t4.690000\n1414083864\t4.690000\n1414084464\t4.750000\n1414085065\t4.750000\n1414085665\t4.750000\n1414086266\t4.750000\n1414086867\t4.750000\n1414087467\t4.750000\n1414088068\t4.750000\n1414088668\t4.750000\n1414089269\t4.750000\n1414089869\t4.750000\n1414090470\t4.690000\n1414091070\t4.620000\n1414091671\t4.620000\n1414092272\t4.620000\n1414092872\t4.560000\n1414093473\t4.500000\n1414094073\t4.440000\n1414094674\t4.440000\n1414095274\t4.380000\n1414095875\t4.380000\n1414096475\t4.380000\n1414097091\t4.310000\n1414097692\t4.310000\n1414098292\t4.310000\n1414098893\t4.310000\n1414099493\t4.310000\n1414100094\t4.380000\n1414100694\t4.440000\n1414101295\t4.500000\n1414101895\t4.500000\n1414102496\t4.500000\n1414103096\t4.500000\n1414103697\t4.500000\n1414104297\t4.500000\n1414104898\t4.560000\n1414105499\t4.560000\n1414106099\t4.620000\n1414106700\t4.620000\n1414107300\t4.620000\n1414107901\t4.690000\n1414108501\t4.690000\n1414109102\t4.750000\n1414109702\t4.750000\n1414110303\t4.750000\n1414110903\t4.750000\n1414111504\t4.750000\n1414112105\t4.810000\n1414112705\t4.810000\n1414113306\t4.810000\n1414113906\t4.810000\n1414114522\t4.880000\n1414115122\t4.940000\n1414115723\t5.000000\n1414116323\t5.000000\n1414116924\t5.060000\n1414117524\t5.120000\n1414118125\t5.120000\n1414118725\t5.190000\n1414119326\t5.190000\n1414119926\t5.190000\n1414120527\t5.250000\n1414121128\t5.250000\n1414121728\t5.310000\n1414122329\t5.380000\n1414122929\t5.440000\n1414123530\t5.500000\n1414124130\t5.500000\n1414124731\t5.560000\n1414125332\t5.560000\n1414125932\t5.620000\n1414126533\t5.620000\n1414127133\t5.690000\n1414127734\t5.750000\n1414128334\t5.750000\n1414128935\t5.880000\n1414129535\t5.880000\n1414130136\t5.940000\n1414130736\t6.000000\n1414131337\t6.000000\n1414131937\t6.120000\n1414132538\t6.190000\n1414133154\t6.190000\n1414133754\t6.250000\n1414134355\t6.310000\n1414134955\t6.310000\n1414135556\t6.380000\n1414136156\t6.440000\n1414136757\t6.500000\n1414137357\t6.560000\n1414137958\t6.690000\n1414138558\t6.810000\n1414139159\t6.880000\n1414139760\t6.940000\n1414140360\t6.940000\n1414140961\t7.060000\n1414141561\t7.190000\n1414142162\t7.380000\n1414142762\t7.620000\n1414143363\t7.690000\n1414143964\t7.750000\n1414144564\t7.880000\n1414145165\t8.060000\n1414145765\t8.500000\n1414146366\t8.500000\n1414146966\t8.690000\n1414147567\t8.560000\n1414148167\t8.500000\n1414148768\t8.690000\n1414149368\t8.750000\n1414149969\t8.750000\n1414150570\t8.620000\n1414151170\t8.620000\n1414151771\t8.690000\n1414152371\t8.690000\n1414152987\t8.880000\n1414153587\t8.940000\n1414154188\t9.000000\n1414154788\t9.000000\n1414155389\t9.000000\n1414155989\t9.060000\n1414156590\t9.060000\n1414157191\t9.060000\n1414157791\t9.060000\n1414158392\t9.060000\n1414158992\t9.060000\n1414159593\t9.000000\n1414160193\t8.940000\n1414160794\t8.880000\n1414161394\t8.940000\n1414161995\t8.940000\n1414162595\t8.880000\n1414163196\t8.940000\n1414163797\t8.940000\n1414164397\t9.000000\n1414164998\t9.000000\n1414165598\t9.060000\n1414166199\t9.120000\n1414166799\t9.190000\n1414167400\t9.250000\n1414168000\t9.250000\n1414168601\t9.310000\n1414169201\t9.310000\n1414169802\t9.380000\n1414170403\t9.440000\n1414171003\t9.500000\n1414171619\t9.560000\n1414172219\t9.620000\n1414172820\t9.690000\n1414173420\t9.750000\n1414174021\t9.750000\n1414174621\t9.750000\n1414175222\t9.810000\n1414175823\t9.880000\n1414176423\t9.880000\n1414177024\t9.940000\n1414177624\t10.000000\n1414178225\t9.940000\n1414178825\t10.060000\n1414179426\t10.060000\n1414180026\t10.060000\n1414180627\t10.060000\n1414181227\t10.060000\n1414181828\t10.060000\n1414182428\t10.060000\n1414183029\t10.060000\n1414183630\t10.060000\n1414184230\t10.060000\n1414184831\t10.000000\n1414185431\t10.000000\n1414186032\t10.060000\n1414186632\t10.060000\n1414187248\t10.060000\n1414187848\t10.060000\n1414188449\t10.000000\n1414189049\t9.940000\n1414189650\t10.000000\n1414190250\t10.000000\n1414190851\t10.000000\n1414191451\t10.000000\n1414192052\t10.060000\n1414192652\t10.000000\n1414193253\t10.060000\n1414193854\t10.060000\n1414194454\t10.060000\n1414195055\t10.060000\n1414195655\t10.060000\n1414196256\t10.060000\n1414196856\t10.060000\n1414197457\t10.060000\n1414198057\t10.060000\n1414198658\t10.060000\n1414199259\t10.120000\n1414199859\t10.060000\n1414200460\t10.060000\n1414201060\t10.060000\n1414201661\t10.000000\n1414202261\t10.000000\n1414202862\t10.000000\n1414203462\t9.940000\n1414204063\t9.880000\n1414204664\t9.880000\n1414205264\t9.880000\n1414205880\t9.880000\n1414206480\t9.810000\n1414207081\t9.810000\n1414207681\t9.810000\n1414208282\t9.810000\n1414208882\t9.810000\n1414209483\t9.810000\n1414210083\t9.750000\n1414210684\t9.750000\n1414211284\t9.750000\n1414211885\t9.690000\n1414212486\t9.690000\n1414213086\t9.690000\n1414213687\t9.620000\n1414214287\t9.620000\n1414214888\t9.560000\n1414215488\t9.560000\n1414216089\t9.500000\n1414216689\t9.500000\n1414217290\t9.500000\n1414217890\t9.440000\n1414218491\t9.440000\n1414219091\t9.440000\n1414219692\t9.440000\n1414220292\t9.440000\n1414220893\t9.500000\n1414221494\t9.500000\n1414222094\t9.500000\n1414222695\t9.500000\n1414223295\t9.500000\n1414223911\t9.500000\n1414224511\t9.560000\n1414225112\t9.620000\n1414225712\t9.690000\n1414226313\t9.750000\n1414226914\t9.750000\n1414227514\t9.810000\n1414228115\t9.880000\n1414228715\t9.880000\n1414229316\t9.880000\n1414229916\t10.000000\n1414230517\t10.120000\n1414231117\t10.380000\n1414231718\t10.250000\n1414232319\t10.190000\n1414232919\t10.250000\n1414233520\t10.310000\n1414234120\t10.500000\n1414234721\t10.560000\n1414235321\t10.500000\n1414235922\t10.620000\n1414236522\t10.620000\n1414237123\t10.620000\n1414237724\t10.810000\n1414238324\t10.750000\n1414238925\t10.690000\n1414239525\t10.750000\n1414240126\t10.880000\n1414240726\t10.940000\n1414241327\t10.940000\n1414241927\t10.940000\n1414242528\t11.120000\n1414243129\t11.120000\n1414243729\t11.120000\n1414244330\t11.190000\n1414244930\t11.060000\n1414245531\t11.120000\n1414246146\t11.000000\n1414246747\t10.940000\n1414247347\t10.810000\n1414247948\t10.750000\n1414248549\t10.690000\n1414249149\t10.620000\n1414249750\t10.560000\n1414250350\t10.380000\n1414250951\t10.380000\n1414251551\t10.250000\n1414252152\t10.060000\n1414252752\t10.120000\n1414253353\t10.120000\n1414253953\t10.120000\n1414254554\t9.940000\n1414255154\t9.880000\n1414255755\t9.940000\n1414256356\t9.880000\n1414256956\t9.940000\n1414257557\t9.880000\n1414258157\t10.000000\n1414258758\t10.120000\n1414259358\t10.120000\n1414259959\t10.060000\n1414260559\t10.120000\n1414261160\t10.190000\n1414261760\t10.190000\n1414262361\t10.190000\n1414262962\t10.190000\n1414263562\t10.250000\n1414264163\t10.250000\n1414264763\t10.250000\n1414265364\t10.250000\n1414265979\t10.190000\n1414266580\t10.120000\n1414267180\t10.120000\n1414267781\t10.120000\n1414268381\t10.190000\n1414268982\t10.190000\n1414269582\t10.190000\n1414270183\t10.190000\n1414270784\t10.120000\n1414271384\t9.880000\n1414271985\t9.810000\n1414272585\t9.750000\n1414273186\t9.620000\n1414273786\t9.500000\n1414274387\t9.380000\n1414274987\t9.310000\n1414275588\t9.310000\n1414276188\t9.380000\n1414276789\t9.310000\n1414277390\t9.250000\n1414277990\t9.190000\n1414278591\t9.250000\n1414279191\t9.250000\n1414279792\t9.120000\n1414280392\t9.190000\n1414280993\t8.940000\n1414285208\t8.880000\n1414285212\t8.560000\n1414285809\t8.810000\n1414285812\t8.560000\n1414286409\t8.810000\n1414286413\t8.560000\n1414287010\t8.880000\n1414287013\t8.500000\n1414287610\t8.810000\n1414287614\t8.560000\n1414288211\t8.560000\n1414288214\t8.690000\n1414288815\t8.690000\n1414289415\t8.750000\n1414290016\t8.690000\n1414290616\t8.690000\n1414291217\t8.690000\n1414291817\t8.690000\n1414292418\t8.620000\n1414293019\t8.690000\n1414293619\t8.690000\n1414294220\t8.750000\n1414294820\t8.750000\n1414295421\t8.750000\n1414296021\t8.690000\n1414296622\t8.750000\n1414297222\t8.750000\n1414297823\t8.880000\n1414298424\t9.000000\n1414299024\t9.120000\n1414299625\t9.250000\n1414300225\t9.310000\n1414300841\t9.380000\n1414301441\t9.500000\n1414302042\t9.500000\n1414302642\t9.560000\n1414303243\t9.690000\n1414303843\t9.810000\n1414304444\t9.880000\n1414305045\t10.000000\n1414305645\t10.000000\n1414306246\t9.880000\n1414306846\t9.880000\n1414307447\t9.940000\n1414308047\t10.060000\n1414308648\t10.190000\n1414309248\t10.250000\n1414309849\t10.380000\n1414310450\t10.560000\n1414311050\t10.810000\n1414311651\t10.940000\n1414312251\t11.190000\n1414312852\t11.380000\n1414313452\t11.440000\n1414314053\t11.250000\n1414314653\t11.440000\n1414315254\t11.810000\n1414315855\t12.060000\n1414316455\t12.000000\n1414317056\t12.120000\n1414317656\t12.190000\n1414318257\t12.250000\n1414318872\t12.310000\n1414319473\t12.310000\n1414320073\t12.560000\n1414320674\t12.750000\n1414321275\t12.810000\n1414321875\t12.750000\n1414322476\t12.750000\n1414323076\t12.940000\n1414323677\t12.750000\n1414324277\t12.690000\n1414324878\t12.620000\n1414325478\t12.620000\n1414326079\t12.690000\n1414326679\t12.750000\n1414327280\t12.750000\n1414327881\t12.750000\n1414328481\t12.690000\n1414329082\t12.690000\n1414329682\t12.690000\n1414330283\t12.690000\n1414330883\t12.690000\n1414331484\t12.560000\n1414332084\t12.620000\n1414332685\t12.500000\n1414333285\t12.380000\n1414333886\t12.380000\n1414334486\t12.380000\n1414335087\t12.310000\n1414335688\t12.380000\n1414336288\t12.380000\n1414336889\t12.380000\n1414337504\t12.190000\n1414338105\t12.060000\n1414338705\t12.060000\n1414339306\t12.060000\n1414339906\t12.000000\n1414340507\t12.000000\n1414341107\t12.000000\n1414341708\t12.060000\n1414342309\t12.060000\n1414342909\t12.060000\n1414343510\t12.060000\n1414344110\t11.940000\n1414344711\t11.880000\n1414345311\t12.000000\n1414345912\t11.940000\n1414346512\t11.940000\n1414347113\t11.880000\n1414347713\t11.940000\n1414348314\t11.940000\n1414348914\t11.880000\n1414349515\t11.940000\n1414350115\t11.940000\n1414350716\t11.940000\n1414351317\t11.880000\n1414351917\t11.940000\n1414352518\t11.940000\n1414353118\t11.940000\n1414353719\t12.000000\n1414354319\t12.000000\n1414354920\t12.120000\n1414355535\t12.120000\n1414356136\t12.120000\n1414356736\t12.190000\n1414357337\t12.250000\n1414357938\t12.380000\n1414358538\t12.380000\n1414359139\t12.440000\n1414359739\t12.500000\n1414360340\t12.500000\n1414360940\t12.560000\n1414361541\t12.620000\n1414362141\t12.620000\n1414362742\t12.690000\n1414363343\t12.690000\n1414363943\t12.690000\n1414364544\t12.690000\n1414365144\t12.750000\n1414365745\t12.750000\n1414366345\t12.690000\n1414366946\t12.690000\n1414367546\t12.750000\n1414368147\t12.750000\n1414368747\t12.810000\n1414369348\t12.880000\n1414369948\t12.880000\n1414370564\t12.810000\n1414371165\t12.810000\n1414371765\t12.750000\n1414372366\t12.690000\n1414372966\t12.690000\n1414373567\t12.690000\n1414374167\t12.690000\n1414374768\t12.620000\n1414375368\t12.560000\n1414375969\t12.440000\n1414376569\t12.310000\n1414377170\t12.250000\n1414377771\t12.250000\n1414378371\t12.250000\n1414378972\t12.190000\n1414379572\t12.250000\n1414380173\t12.190000\n1414380773\t12.250000\n1414381374\t12.310000\n1414381974\t12.310000\n1414382575\t12.310000\n1414383175\t12.310000\n1414383776\t12.380000\n1414384376\t12.380000\n1414384977\t12.440000\n1414385578\t12.440000\n1414386178\t12.440000\n1414386779\t12.440000\n1414387379\t12.500000\n1414387980\t12.500000\n1414388580\t12.560000\n1414389181\t12.560000\n1414389796\t12.560000\n1414390397\t12.500000\n1414390997\t12.560000\n1414391598\t12.560000\n1414392199\t12.620000\n1414392799\t12.620000\n1414393400\t12.620000\n1414394000\t12.750000\n1414394601\t12.940000\n1414395201\t13.000000\n1414395802\t13.190000\n1414396402\t13.190000\n1414397003\t13.250000\n1414397603\t13.250000\n1414398204\t13.380000\n1414398805\t13.440000\n1414399405\t13.560000\n1414400006\t13.810000\n1414400606\t14.060000\n1414401207\t14.190000\n1414401807\t14.500000\n1414402408\t14.500000\n1414403009\t14.560000\n1414403609\t14.560000\n1414404210\t14.620000\n1414404810\t14.560000\n1414405411\t14.560000\n1414406011\t14.560000\n1414406612\t14.690000\n1414407212\t14.560000\n1414407828\t14.690000\n1414408428\t14.500000\n1414409029\t14.440000\n1414409629\t14.440000\n1414410230\t14.690000\n1414410831\t14.750000\n1414411431\t14.880000\n1414412032\t14.620000\n1414412632\t14.500000\n1414413233\t14.500000\n1414413833\t14.500000\n1414414434\t14.440000\n1414415034\t14.620000\n1414415635\t14.560000\n1414416235\t14.620000\n1414416836\t14.620000\n1414417437\t14.560000\n1414418037\t14.620000\n1414418638\t14.560000\n1414419238\t14.560000\n1414419839\t14.380000\n1414420439\t14.310000\n1414421040\t14.310000\n1414421640\t14.310000\n1414422241\t14.250000\n1414422842\t14.190000\n1414423442\t14.120000\n1414424058\t14.120000\n1414424658\t14.060000\n1414425259\t14.120000\n1414425859\t14.120000\n1414426460\t14.060000\n1414427060\t14.120000\n1414427661\t14.120000\n1414428261\t13.880000\n1414428862\t13.880000\n1414429462\t13.880000\n1414430063\t13.880000\n1414430663\t13.880000\n1414431264\t13.940000\n1414431864\t14.000000\n1414432465\t13.940000\n1414433066\t13.810000\n1414433666\t13.750000\n1414434267\t13.750000\n1414434867\t13.750000\n1414435468\t13.690000\n1414436068\t13.690000\n1414436669\t13.690000\n1414437269\t13.690000\n1414437870\t13.620000\n1414438471\t13.690000\n1414439071\t13.750000\n1414439672\t13.810000\n1414440272\t13.750000\n1414440873\t13.750000\n1414441473\t13.810000\n1414442074\t13.750000\n1414442689\t13.750000\n1414443290\t13.810000\n1414443890\t13.940000\n1414444491\t13.940000\n1414445092\t13.940000\n1414445692\t13.940000\n1414446293\t13.940000\n1414446893\t13.880000\n1414447494\t13.880000\n1414448094\t13.940000\n1414448695\t13.880000\n1414449295\t13.690000\n1414449896\t13.500000\n1414450497\t13.560000\n1414451097\t13.500000\n1414451698\t13.560000\n1414452298\t13.620000\n1414452899\t13.690000\n1414453499\t13.810000\n1414454100\t13.880000\n1414454700\t13.940000\n1414455301\t13.940000\n1414455901\t13.940000\n1414456502\t14.000000\n1414457103\t14.060000\n1414457703\t14.060000\n1414458304\t14.190000\n1414458904\t14.060000\n1414459505\t14.120000\n1414460105\t14.120000\n1414460706\t14.190000\n1414461306\t14.190000\n1414461922\t14.190000\n1414462523\t14.190000\n1414463123\t14.190000\n1414463724\t14.250000\n1414464324\t14.310000\n1414464925\t14.310000\n1414465525\t14.250000\n1414466126\t14.190000\n1414466726\t14.190000\n1414467327\t14.190000\n1414467927\t14.120000\n1414468528\t14.120000\n1414469129\t14.060000\n1414469729\t13.940000\n1414470330\t13.940000\n1414470930\t13.940000\n1414471531\t14.000000\n1414472131\t14.000000\n1414472732\t14.000000\n1414473332\t14.000000\n1414473933\t13.940000\n1414474534\t13.940000\n1414475134\t14.000000\n1414475735\t13.940000\n1414476335\t13.940000\n1414476936\t14.000000\n1414477536\t14.000000\n1414478137\t14.000000\n1414478737\t14.000000\n1414479338\t14.000000\n1414479938\t14.000000\n1414480539\t13.940000\n1414481155\t13.880000\n1414481755\t13.810000\n1414482356\t14.000000\n1414482956\t14.060000\n1414483557\t14.060000\n1414484157\t14.250000\n1414484758\t14.310000\n1414485358\t14.380000\n1414485959\t14.440000\n1414486560\t14.620000\n1414487160\t14.620000\n1414487761\t14.690000\n1414488361\t14.690000\n1414488962\t14.690000\n1414489562\t14.690000\n1414490163\t14.620000\n1414490763\t14.500000\n1414491364\t14.440000\n1414491965\t14.380000\n1414492565\t14.380000\n1414493166\t14.380000\n1414493766\t14.380000\n1414494367\t14.380000\n1414494967\t14.380000\n1414495568\t14.380000\n1414496168\t14.440000\n1414496769\t14.440000\n1414497370\t14.500000\n1414497970\t14.560000\n1414498571\t14.560000\n1414499186\t14.560000\n1414499787\t14.500000\n1414500387\t14.620000\n1414500988\t14.620000\n1414501588\t14.750000\n1414502189\t14.750000\n1414502789\t14.690000\n1414503390\t14.750000\n1414503990\t14.810000\n1414504591\t14.810000\n1414505192\t14.750000\n1414505792\t14.620000\n1414506393\t14.560000\n1414506993\t14.380000\n1414507594\t14.250000\n1414508194\t14.060000\n1414508795\t13.940000\n1414509395\t13.810000\n1414509996\t13.690000\n1414510596\t13.690000\n1414511197\t13.620000\n1414511797\t13.750000\n1414512398\t13.620000\n1414512998\t13.620000\n1414513599\t13.620000\n1414514200\t13.620000\n1414514800\t13.690000\n1414515416\t13.690000\n1414516016\t13.620000\n1414516617\t13.620000\n1414517217\t13.620000\n1414517818\t13.690000\n1414518418\t13.690000\n1414519019\t13.620000\n1414519620\t13.620000\n1414520220\t13.620000\n1414520821\t13.560000\n1414521421\t13.560000\n1414522022\t13.440000\n1414522622\t13.440000\n1414523223\t13.380000\n1414523823\t13.380000\n1414524424\t13.250000\n1414525025\t13.250000\n1414525625\t13.190000\n1414526226\t13.120000\n1414526826\t13.120000\n1414527427\t13.060000\n1414528027\t13.000000\n1414528628\t13.000000\n1414529228\t12.940000\n1414529829\t12.810000\n1414530430\t12.750000\n1414531030\t12.690000\n1414531631\t12.560000\n1414532231\t12.440000\n1414532832\t12.380000\n1414533447\t12.250000\n1414534048\t12.190000\n1414534648\t12.120000\n1414535249\t12.060000\n1414535849\t11.940000\n1414536450\t11.880000\n1414537050\t11.690000\n1414537651\t11.620000\n1414538252\t11.560000\n1414538852\t11.440000\n1414539453\t11.380000\n1414540053\t11.310000\n1414540654\t11.250000\n1414541254\t11.190000\n1414541855\t11.060000\n1414542455\t11.000000\n1414543056\t10.940000\n1414543656\t10.940000\n1414544257\t10.810000\n1414544858\t10.690000\n1414545458\t10.560000\n1414546059\t10.500000\n1414546659\t10.500000\n1414547260\t10.560000\n1414547860\t10.620000\n1414548461\t10.620000\n1414549061\t10.690000\n1414549662\t10.620000\n1414550262\t10.690000\n1414550863\t10.620000\n1414551464\t10.620000\n1414552079\t10.560000\n1414552680\t10.500000\n1414553280\t10.500000\n1414553881\t10.500000\n1414554481\t10.500000\n1414555082\t10.440000\n1414555683\t10.380000\n1414556283\t10.310000\n1414556884\t10.310000\n1414557484\t10.380000\n1414558085\t10.380000\n1414558685\t10.440000\n1414559286\t10.440000\n1414559887\t10.440000\n1414560487\t10.440000\n1414561088\t10.440000\n1414561688\t10.500000\n1414562289\t10.500000\n1414562889\t10.440000\n1414563490\t10.440000\n1414564090\t10.440000\n1414564691\t10.500000\n1414565291\t10.500000\n1414565892\t10.560000\n1414566493\t10.620000\n1414567093\t10.690000\n1414567694\t10.750000\n1414568294\t10.880000\n1414568895\t10.940000\n1414569495\t10.940000\n1414570111\t11.310000\n1414570712\t11.690000\n1414571312\t11.750000\n1414571913\t11.750000\n1414572513\t11.750000\n1414573114\t11.620000\n1414573714\t11.620000\n1414574315\t11.750000\n1414574915\t11.810000\n1414575516\t11.940000\n1414576116\t12.380000\n1414576717\t12.500000\n1414577318\t12.500000\n1414577918\t12.190000\n1414578519\t12.440000\n1414579119\t12.560000\n1414579720\t12.880000\n1414580320\t13.000000\n1414580921\t12.690000\n1414581521\t12.620000\n1414582122\t12.560000\n1414582722\t12.750000\n1414583323\t12.310000\n1414583923\t12.000000\n1414584524\t11.880000\n1414585125\t11.620000\n1414585725\t11.620000\n1414586326\t11.690000\n1414586926\t11.310000\n1414587527\t10.940000\n1414588127\t10.620000\n1414588743\t10.440000\n1414589343\t10.380000\n1414589944\t10.250000\n1414590545\t10.190000\n1414591145\t10.190000\n1414591746\t9.940000\n1414592346\t9.690000\n1414592947\t9.560000\n1414593547\t9.500000\n1414594148\t9.310000\n1414594748\t9.000000\n1414595349\t8.940000\n1414595950\t8.560000\n1414596550\t8.440000\n1414597151\t8.190000\n1414597751\t7.940000\n1414598352\t7.810000\n1414598952\t7.690000\n1414599553\t7.620000\n1414600154\t7.500000\n1414600754\t7.190000\n1414601355\t7.120000\n1414601955\t7.000000\n1414602556\t6.810000\n1414603156\t6.810000\n1414603757\t6.620000\n1414604358\t6.500000\n1414604958\t6.440000\n1414605559\t6.440000\n1414606159\t6.500000\n1414606760\t6.500000\n1414607360\t6.310000\n1414607961\t6.120000\n1414608576\t6.190000\n1414609177\t6.190000\n1414609777\t6.190000\n1414610378\t6.060000\n1414610979\t6.060000\n1414611579\t6.000000\n1414612180\t5.810000\n1414612780\t5.810000\n1414613381\t5.810000\n1414613981\t5.750000\n1414614582\t5.620000\n1414615183\t5.310000\n1414615783\t5.310000\n1414616384\t5.310000\n1414616984\t5.380000\n1414617585\t5.560000\n1414618185\t5.560000\n1414618786\t5.380000\n1414619386\t4.880000\n1414619987\t4.690000\n1414620588\t4.560000\n1414621188\t4.620000\n1414621789\t4.690000\n1414622389\t4.620000\n1414622990\t4.500000\n1414623590\t4.500000\n1414624191\t4.120000\n1414624806\t4.310000\n1414625407\t4.560000\n1414626008\t4.190000\n1414626608\t4.000000\n1414627209\t4.000000\n1414627809\t4.380000\n1414628410\t4.500000\n1414629010\t3.940000\n1414629611\t3.810000\n1414630211\t3.940000\n1414630812\t4.120000\n1414631412\t4.250000\n1414632013\t3.940000\n1414632613\t3.880000\n1414633214\t3.810000\n1414633815\t3.750000\n1414634415\t3.380000\n1414635016\t3.380000\n1414635616\t3.440000\n1414636217\t3.380000\n1414636817\t3.120000\n1414637418\t2.620000\n1414638018\t2.120000\n1414638619\t2.310000\n1414639220\t2.620000\n1414639820\t2.500000\n1414640421\t2.690000\n1414641021\t2.690000\n1414641622\t2.190000\n1414642222\t2.500000\n1414642823\t2.190000\n1414643423\t2.440000\n1414644024\t2.250000\n1414644625\t2.380000\n1414645225\t2.500000\n1414645841\t2.310000\n1414646441\t1.880000\n1414647042\t1.810000\n1414647642\t1.440000\n1414648243\t1.310000\n1414648843\t1.620000\n1414649444\t1.750000\n1414650044\t1.380000\n1414650645\t1.500000\n1414651246\t1.500000\n1414651846\t1.560000\n1414652447\t1.750000\n1414653047\t2.000000\n1414653648\t2.120000\n1414654248\t2.060000\n1414654849\t2.310000\n1414655449\t2.440000\n1414656050\t2.750000\n1414656650\t3.060000\n1414657251\t3.440000\n1414657851\t3.750000\n1414658452\t3.880000\n1414659052\t4.120000\n1414659653\t4.380000\n1414660254\t4.560000\n1414660854\t4.880000\n1414661455\t4.940000\n1414662055\t5.190000\n1414662656\t5.560000\n1414663256\t5.750000\n1414663857\t5.750000\n1414664457\t5.750000\n1414665073\t5.500000\n1414665674\t5.380000\n1414666274\t5.560000\n1414666875\t6.000000\n1414667475\t6.250000\n1414668076\t6.310000\n1414668676\t6.380000\n1414669277\t6.620000\n1414669877\t6.690000\n1414670478\t6.880000\n1414671079\t7.060000\n1414671679\t7.120000\n1414672280\t6.940000\n1414672880\t7.380000\n1414673481\t7.560000\n1414674081\t7.810000\n1414674682\t7.750000\n1414675282\t7.620000\n1414675883\t7.440000\n1414676484\t7.250000\n1414677084\t7.380000\n1414677685\t7.310000\n1414678285\t7.250000\n1414678886\t6.880000\n1414679486\t6.560000\n1414680087\t6.250000\n1414680687\t6.000000\n1414681288\t5.810000\n1414681888\t5.440000\n1414682489\t5.120000\n1414683105\t4.810000\n1414683705\t4.690000\n1414684306\t4.250000\n1414684906\t4.190000\n1414685507\t4.060000\n1414686107\t3.940000\n1414686708\t3.810000\n1414687308\t3.690000\n1414687909\t3.440000\n1414688509\t3.380000\n1414689110\t3.310000\n1414689710\t3.310000\n1414690311\t3.250000\n1414690912\t3.120000\n1414691512\t2.690000\n1414692113\t2.440000\n1414692713\t2.310000\n1414693314\t2.440000\n1414693914\t2.310000\n1414694515\t2.440000\n1414695115\t2.620000\n1414695716\t2.560000\n1414696317\t2.440000\n1414696917\t2.250000\n1414697518\t2.250000\n1414698118\t2.380000\n1414698719\t2.250000\n1414699319\t2.190000\n1414699920\t2.310000\n1414700520\t2.190000\n1414701121\t2.190000\n1414701737\t2.250000\n1414702337\t2.250000\n1414702938\t2.250000\n1414703538\t2.190000\n1414704139\t2.250000\n1414704739\t2.250000\n1414705340\t2.250000\n1414705940\t2.190000\n1414706541\t2.120000\n1414707141\t2.250000\n1414707742\t2.120000\n1414708342\t2.380000\n1414708943\t2.440000\n1414709543\t2.560000\n1414710144\t2.380000\n1414710745\t2.250000\n1414711345\t2.250000\n1414711945\t2.310000\n1414712546\t2.250000\n1414713147\t2.310000\n1414713747\t2.380000\n1414714348\t2.380000\n1414714948\t2.440000\n1414715549\t2.500000\n1414716149\t2.440000\n1414716750\t2.440000\n1414717350\t2.250000\n1414717951\t2.060000\n1414718552\t2.190000\n1414719152\t1.810000\n1414719768\t1.880000\n1414720368\t1.940000\n1414720969\t2.120000\n1414721569\t2.190000\n1414722170\t2.380000\n1414722770\t2.250000\n1414723371\t2.120000\n1414723971\t2.000000\n1414724572\t1.880000\n1414725173\t1.750000\n1414725773\t1.620000\n1414726374\t1.440000\n1414726974\t1.250000\n1414727575\t0.810000\n1414728175\t1.060000\n1414728776\t1.000000\n1414729376\t1.000000\n1414729977\t0.880000\n1414730577\t0.810000\n1414731178\t0.880000\n1414731778\t0.690000\n1414732379\t0.750000\n1414732980\t0.750000\n1414733580\t0.500000\n1414734181\t0.500000\n1414734781\t0.440000\n1414735382\t0.500000\n1414735982\t0.440000\n1414736598\t0.310000\n1414737198\t0.250000\n1414737799\t0.000000\n1414738399\t0.190000\n1414739000\t0.310000\n1414739601\t0.500000\n1414740201\t0.620000\n1414740802\t0.620000\n1414741402\t0.940000\n1414742003\t1.190000\n1414742603\t1.440000\n1414743204\t1.620000\n1414743804\t1.690000\n1414744405\t1.940000\n1414745006\t2.250000\n1414745606\t2.500000\n1414746207\t2.750000\n1414746807\t3.000000\n1414747408\t3.250000\n1414748008\t3.500000\n1414748609\t3.690000\n1414749209\t4.000000\n1414749810\t4.250000\n1414750410\t4.500000\n1414751011\t4.880000\n1414751612\t5.190000\n1414752212\t5.310000\n1414752813\t5.560000\n1414753413\t5.810000\n1414754014\t6.000000\n1414754614\t6.120000\n1414755215\t6.310000\n1414755830\t6.440000\n1414756431\t6.560000\n1414757031\t6.810000\n1414757632\t6.690000\n1414758233\t6.500000\n1414758833\t6.380000\n1414759434\t6.380000\n1414760034\t6.440000\n1414760635\t6.620000\n1414761235\t6.750000\n1414761836\t6.620000\n1414762436\t6.560000\n1414763037\t6.500000\n1414763637\t6.440000\n1414764238\t6.250000\n1414764838\t6.060000\n1414765439\t5.810000\n1414766039\t5.560000\n1414766640\t5.380000\n1414767240\t5.310000\n1414767841\t5.380000\n1414768441\t5.310000\n1414769042\t5.190000\n1414769643\t5.060000\n1414770243\t5.000000\n1414770844\t4.880000\n1414771444\t4.750000\n1414772045\t4.690000\n1414772645\t4.620000\n1414773246\t4.620000\n1414773846\t4.620000\n1414774462\t4.620000\n1414775063\t4.620000\n1414775663\t4.620000\n1414776264\t4.620000\n1414776864\t4.620000\n1414777465\t4.620000\n1414778065\t4.620000\n1414778666\t4.620000\n1414779266\t4.620000\n1414779867\t4.690000\n1414780468\t4.690000\n1414781068\t4.750000\n1414781669\t4.750000\n1414782269\t4.690000\n1414782870\t4.620000\n1414783470\t4.620000\n1414784071\t4.560000\n1414784671\t4.560000\n1414785272\t4.560000\n1414785873\t4.620000\n1414786473\t4.620000\n1414787074\t4.690000\n1414787674\t4.620000\n1414788275\t4.620000\n1414788875\t4.690000\n1414789476\t4.690000\n1414790076\t4.690000\n1414790677\t4.560000\n1414791277\t4.560000\n1414791878\t4.620000\n1414792494\t4.560000\n1414793094\t4.620000\n1414793695\t4.620000\n1414794295\t4.690000\n1414794896\t4.690000\n1414795496\t4.690000\n1414796097\t4.690000\n1414796697\t4.690000\n1414797298\t4.620000\n1414797898\t4.620000\n1414798499\t4.620000\n1414799099\t4.620000\n1414799700\t4.690000\n1414800301\t4.690000\n1414800901\t4.750000\n1414801502\t4.750000\n1414802102\t4.690000\n1414802703\t4.690000\n1414803303\t4.690000\n1414803904\t4.690000\n1414804504\t4.750000\n1414805105\t4.750000\n1414805705\t4.810000\n1414806306\t4.880000\n1414806906\t4.880000\n1414807507\t4.880000\n1414808107\t4.880000\n1414808708\t4.880000\n1414809309\t4.940000\n1414809909\t4.940000\n1414810525\t4.940000\n1414811125\t5.000000\n1414811726\t5.000000\n1414812326\t5.000000\n1414812927\t5.000000\n1414813527\t5.000000\n1414814128\t5.000000\n1414814729\t5.000000\n1414815329\t5.000000\n1414815930\t5.000000\n1414816530\t5.000000\n1414817131\t5.000000\n1414817731\t5.000000\n1414818332\t5.060000\n1414818932\t5.060000\n1414819533\t5.060000\n1414820134\t5.060000\n1414820734\t5.060000\n1414821335\t5.060000\n1414821935\t5.120000\n1414822536\t5.120000\n1414823136\t5.120000\n1414823737\t5.190000\n1414824337\t5.190000\n1414824938\t5.250000\n1414825538\t5.310000\n1414826139\t5.380000\n1414826740\t5.380000\n1414827340\t5.440000\n1414827941\t5.500000\n1414828541\t5.560000\n1414829157\t5.690000\n1414829757\t5.750000\n1414830358\t5.940000\n1414830958\t6.000000\n1414831559\t6.060000\n1414832159\t6.190000\n1414832760\t6.250000\n1414833360\t6.310000\n1414833961\t6.380000\n1414834562\t6.440000\n1414835162\t6.560000\n1414835763\t6.620000\n1414836363\t6.620000\n1414836964\t6.750000\n1414837564\t6.750000\n1414838165\t6.810000\n1414838765\t6.940000\n1414839366\t7.000000\n1414839967\t7.000000\n1414840567\t7.120000\n1414841168\t7.190000\n1414841768\t7.250000\n1414842369\t7.310000\n1414842969\t7.310000\n1414843570\t7.380000\n1414844170\t7.440000\n1414844771\t7.560000\n1414845371\t7.560000\n1414845972\t7.690000\n1414846573\t7.690000\n1414847188\t7.880000\n1414847789\t7.880000\n1414848389\t7.880000\n1414848990\t7.880000\n1414849590\t7.880000\n1414850191\t7.940000\n1414850791\t8.000000\n1414851392\t8.060000\n1414851992\t8.120000\n1414852593\t8.190000\n1414853193\t8.190000\n1414853794\t8.440000\n1414854395\t8.380000\n1414854995\t8.440000\n1414855596\t8.440000\n1414856196\t8.380000\n1414856797\t8.500000\n1414857397\t8.500000\n1414857998\t8.560000\n1414858598\t8.620000\n1414859199\t8.620000\n1414859799\t8.690000\n1414860400\t8.690000\n1414861000\t8.810000\n1414861601\t8.810000\n1414862202\t8.880000\n1414862802\t9.000000\n1414863403\t8.940000\n1414864003\t9.060000\n1414864604\t9.060000\n1414865204\t9.120000\n1414865820\t9.250000\n1414866420\t9.250000\n1414867021\t9.310000\n1414867621\t9.380000\n1414868222\t9.380000\n1414868822\t9.310000\n1414869423\t9.440000\n1414870023\t9.500000\n1414870624\t9.560000\n1414871225\t9.560000\n1414871825\t9.690000\n1414872426\t9.690000\n1414873026\t9.810000\n1414873627\t9.880000\n1414874227\t9.940000\n1414874828\t9.940000\n1414875428\t10.000000\n1414876029\t10.000000\n1414876629\t10.000000\n1414877230\t10.060000\n1414877831\t10.060000\n1414878431\t10.120000\n1414879032\t10.190000\n1414879632\t10.250000\n1414880233\t10.310000\n1414880833\t10.380000\n1414881434\t10.380000\n1414882034\t10.440000\n1414882635\t10.500000\n1414883235\t10.560000\n1414883836\t10.620000\n1414884451\t10.560000\n1414885052\t10.620000\n1414885653\t10.560000\n1414886253\t10.620000\n1414886854\t10.810000\n1414887454\t10.810000\n1414888055\t10.810000\n1414888655\t10.690000\n1414889256\t10.690000\n1414889856\t10.750000\n1414890457\t10.880000\n1414891057\t10.810000\n1414891658\t10.750000\n1414892259\t10.750000\n1414892859\t10.690000\n1414893460\t10.620000\n1414894060\t10.620000\n1414894661\t10.750000\n1414895261\t10.880000\n1414895862\t10.940000\n1414896462\t10.940000\n1414897063\t11.000000\n1414897663\t11.120000\n1414898264\t11.190000\n1414898865\t11.250000\n1414899465\t11.380000\n1414900066\t11.440000\n1414900666\t11.500000\n1414901267\t11.560000\n1414901867\t11.690000\n1414902468\t11.690000\n1414903084\t11.750000\n1414903684\t11.810000\n1414904285\t11.750000\n1414904885\t11.750000\n1414905486\t11.810000\n1414906086\t11.750000\n1414906687\t11.810000\n1414907287\t11.880000\n1414907888\t11.940000\n1414908488\t11.940000\n1414909089\t11.940000\n1414909689\t12.000000\n1414910290\t12.000000\n1414910890\t11.940000\n1414911491\t11.940000\n1414912092\t12.000000\n1414912692\t12.060000\n1414913293\t12.250000\n1414913893\t12.250000\n1414914494\t12.380000\n1414915094\t12.500000\n1414915695\t12.440000\n1414916295\t12.620000\n1414916896\t12.560000\n1414917497\t12.620000\n1414918097\t12.750000\n1414918698\t12.880000\n1414919298\t12.940000\n1414919899\t13.000000\n1414920514\t13.060000\n1414921115\t13.190000\n1414921715\t13.380000\n1414922316\t13.500000\n1414922917\t13.690000\n1414923517\t13.690000\n1414924118\t13.940000\n1414924718\t14.120000\n1414925319\t14.120000\n1414925919\t14.060000\n1414926520\t14.000000\n1414927120\t13.880000\n1414927721\t13.880000\n1414928321\t13.940000\n1414928922\t14.060000\n1414929523\t14.250000\n1414930123\t14.500000\n1414930724\t14.690000\n1414931324\t14.810000\n1414931925\t14.560000\n1414932525\t14.500000\n1414933126\t14.560000\n1414933726\t14.380000\n1414934327\t14.310000\n1414934927\t13.880000\n1414935528\t13.750000\n1414936129\t13.500000\n1414936729\t13.440000\n1414937330\t13.750000\n1414937930\t13.750000\n1414938531\t13.560000\n1414939131\t13.250000\n1414939747\t12.940000\n1414940347\t12.440000\n1414940948\t12.120000\n1414941549\t11.940000\n1414942149\t11.750000\n1414942750\t11.690000\n1414943350\t11.500000\n1414943951\t11.380000\n1414944551\t11.190000\n1414945152\t11.060000\n1414945752\t11.060000\n1414946353\t11.060000\n1414946953\t11.060000\n1414947554\t11.060000\n1414948155\t11.060000\n1414948755\t10.940000\n1414949356\t11.000000\n1414949956\t11.060000\n1414950557\t11.120000\n1414951157\t11.120000\n1414951758\t11.190000\n1414952358\t11.190000\n1414952959\t11.060000\n1414953559\t11.000000\n1414954160\t11.000000\n1414954760\t11.000000\n1414955361\t11.000000\n1414955962\t11.190000\n1414956562\t11.250000\n1414957163\t11.250000\n1414957778\t11.120000\n1414958379\t11.060000\n1414958979\t11.060000\n1414959580\t11.000000\n1414960180\t10.880000\n1414960781\t10.810000\n1414961381\t10.940000\n1414961982\t10.880000\n1414962582\t10.810000\n1414963183\t10.690000\n1414963784\t10.560000\n1414964384\t10.500000\n1414964985\t10.440000\n1414965585\t10.620000\n1414966186\t10.750000\n1414966786\t11.060000\n1414967387\t11.250000\n1414967987\t11.310000\n1414968588\t11.380000\n1414969189\t11.440000\n1414969789\t11.500000\n1414970390\t11.620000\n1414970990\t11.750000\n1414971591\t11.750000\n1414972191\t11.690000\n1414972792\t11.620000\n1414973392\t11.620000\n1414973993\t11.690000\n1414974608\t11.690000\n1414975209\t11.690000\n1414975809\t11.690000\n1414976410\t11.620000\n1414977011\t11.500000\n1414977611\t11.560000\n1414978212\t11.560000\n1414978812\t11.620000\n1414979413\t11.690000\n1414980013\t11.750000\n1414980614\t11.690000\n1414981214\t11.810000\n1414981815\t11.880000\n1414982415\t11.880000\n1414983016\t11.810000\n1414983617\t11.810000\n1414984217\t11.810000\n1414984818\t11.810000\n1414985418\t11.750000\n1414986019\t11.810000\n1414986619\t11.750000\n1414987220\t11.750000\n1414987820\t11.690000\n1414988421\t11.620000\n1414989022\t11.500000\n1414989622\t11.440000\n1414990223\t11.380000\n1414990823\t11.310000\n1414991424\t11.310000\n1414992024\t11.310000\n1414992625\t11.380000\n1414993240\t11.440000\n1414993841\t11.500000\n1414994441\t11.500000\n1414995042\t11.560000\n1414995642\t11.620000\n1414996243\t11.690000\n1414996844\t11.750000\n1414997444\t11.880000\n1414998045\t11.880000\n1414998645\t12.000000\n1414999246\t12.120000\n1414999846\t12.190000\n1415000447\t12.250000\n1415001047\t12.310000\n1415001648\t12.250000\n1415002249\t12.310000\n1415002849\t12.310000\n1415003450\t12.310000\n1415004050\t12.380000\n1415004651\t12.440000\n1415005251\t12.440000\n1415005852\t12.560000\n1415006452\t12.560000\n1415007053\t12.560000\n1415007654\t12.440000\n1415008254\t12.500000\n1415008855\t12.620000\n1415009455\t12.560000\n1415010071\t12.500000\n1415010671\t12.440000\n1415011272\t12.440000\n1415011872\t12.500000\n1415012473\t12.560000\n1415013073\t12.560000\n1415013674\t12.500000\n1415014275\t12.500000\n1415014875\t12.440000\n1415015476\t12.310000\n1415016076\t12.380000\n1415016677\t12.250000\n1415017277\t12.440000\n1415017878\t12.560000\n1415018479\t12.500000\n1415019079\t12.440000\n1415019680\t12.250000\n1415020280\t12.310000\n1415020881\t12.310000\n1415021481\t12.250000\n1415022082\t12.250000\n1415022683\t12.250000\n1415023283\t12.250000\n1415023884\t12.190000\n1415024484\t12.060000\n1415025085\t11.940000\n1415025685\t11.810000\n1415026286\t11.810000\n1415026886\t11.690000\n1415027487\t11.620000\n1415028102\t11.500000\n1415028703\t11.440000\n1415029304\t11.310000\n1415029904\t11.310000\n1415030505\t11.250000\n1415031105\t11.250000\n1415031706\t11.120000\n1415032306\t11.060000\n1415032907\t10.940000\n1415033507\t10.940000\n1415034108\t10.810000\n1415034708\t10.750000\n1415035309\t10.690000\n1415035910\t10.500000\n1415036510\t10.440000\n1415037111\t10.250000\n1415037711\t10.190000\n1415038312\t10.250000\n1415038912\t10.250000\n1415039513\t10.190000\n1415040114\t10.190000\n1415040714\t10.250000\n1415041315\t10.250000\n1415041915\t10.310000\n1415042516\t10.310000\n1415043116\t10.440000\n1415043717\t10.380000\n1415044317\t10.250000\n1415044918\t10.190000\n1415045518\t10.250000\n1415046119\t10.250000\n1415046720\t10.380000\n1415047320\t10.440000\n1415047921\t10.440000\n1415048536\t10.440000\n1415049137\t10.310000\n1415049737\t10.190000\n1415050338\t10.060000\n1415050938\t10.000000\n1415051539\t9.880000\n1415052140\t9.810000\n1415052740\t9.750000\n1415053341\t9.690000\n1415053941\t9.560000\n1415054542\t9.560000\n1415055142\t9.560000\n1415055743\t9.690000\n1415056343\t9.690000\n1415056944\t9.750000\n1415057545\t9.750000\n1415058145\t9.750000\n1415058746\t9.690000\n1415059346\t9.690000\n1415059947\t9.620000\n1415060547\t9.620000\n1415061148\t9.690000\n1415061748\t9.750000\n1415062349\t9.750000\n1415062950\t9.810000\n1415063550\t9.750000\n1415064151\t9.750000\n1415064751\t9.690000\n1415065352\t9.690000\n1415065952\t9.690000\n1415066553\t9.690000\n1415067153\t9.690000\n1415067769\t9.750000\n1415068369\t9.810000\n1415068970\t9.880000\n1415069570\t9.880000\n1415070171\t10.000000\n1415070772\t10.000000\n1415071372\t10.000000\n1415071973\t10.120000\n1415072573\t10.120000\n1415073174\t10.190000\n1415073774\t10.310000\n1415074375\t10.310000\n1415074976\t10.250000\n1415075576\t10.310000\n1415076177\t10.380000\n1415076777\t10.380000\n1415077378\t10.440000\n1415077978\t10.440000\n1415078579\t10.440000\n1415079179\t10.440000\n1415079780\t10.560000\n1415080380\t10.560000\n1415080981\t10.690000\n1415081582\t10.750000\n1415082182\t10.810000\n1415082783\t10.810000\n1415083383\t10.880000\n1415083984\t11.000000\n1415084584\t11.060000\n1415085185\t11.120000\n1415085785\t11.120000\n1415086386\t11.120000\n1415086987\t11.250000\n1415087587\t11.310000\n1415088203\t11.440000\n1415088803\t11.560000\n1415089404\t11.620000\n1415090004\t11.690000\n1415090605\t11.750000\n1415091205\t11.880000\n1415091806\t12.000000\n1415092407\t11.940000\n1415093007\t12.000000\n1415093608\t12.250000\n1415094208\t12.310000\n1415094809\t12.310000\n1415095409\t12.190000\n1415096010\t12.120000\n1415096610\t12.120000\n1415097211\t12.060000\n1415097812\t12.190000\n1415098412\t12.250000\n1415099013\t12.250000\n1415099613\t12.250000\n1415100214\t12.250000\n1415100814\t12.310000\n1415101415\t12.190000\n1415102015\t11.750000\n1415102616\t10.880000\n1415103216\t10.810000\n1415103817\t10.810000\n1415104418\t10.810000\n1415105018\t10.880000\n1415105619\t11.120000\n1415106219\t11.120000\n1415106820\t11.120000\n1415107420\t11.190000\n1415108021\t11.060000\n1415108636\t11.060000\n1415109237\t11.060000\n1415109837\t11.000000\n1415110438\t10.880000\n1415111039\t10.690000\n1415111639\t10.620000\n1415112240\t10.620000\n1415112840\t10.620000\n1415113441\t10.500000\n1415114041\t10.500000\n1415114642\t9.500000\n1415115242\t8.940000\n1415115843\t9.000000\n1415116443\t9.000000\n1415117044\t9.000000\n1415117645\t8.880000\n1415118245\t8.940000\n1415118846\t8.880000\n1415119446\t8.940000\n1415120047\t8.810000\n1415120647\t8.810000\n1415121248\t8.810000\n1415121848\t8.750000\n1415122449\t8.620000\n1415123050\t8.560000\n1415123650\t8.440000\n1415124251\t8.380000\n1415124851\t8.190000\n1415125452\t8.120000\n1415126052\t8.060000\n1415126653\t7.880000\n1415127253\t7.750000\n1415127869\t7.750000\n1415128470\t7.560000\n1415129070\t7.380000\n1415129671\t7.440000\n1415130271\t7.440000\n1415130872\t7.380000\n1415131472\t7.310000\n1415132073\t7.060000\n1415132673\t7.190000\n1415133274\t7.190000\n1415133874\t7.120000\n1415134475\t7.060000\n1415135076\t7.120000\n1415135676\t7.000000\n1415136277\t7.060000\n1415136877\t6.940000\n1415137478\t7.000000\n1415138078\t6.940000\n1415138679\t7.060000\n1415139279\t6.880000\n1415139880\t6.690000\n1415140481\t6.620000\n1415141081\t6.500000\n1415141682\t6.440000\n1415142282\t6.380000\n1415142883\t6.250000\n1415143483\t6.120000\n1415144084\t6.060000\n1415144684\t5.940000\n1415145285\t5.810000\n1415145885\t5.690000\n1415146501\t5.750000\n1415147101\t5.620000\n1415147702\t5.560000\n1415148302\t5.380000\n1415148903\t5.310000\n1415149503\t5.560000\n1415150104\t5.810000\n1415150705\t5.750000\n1415151305\t5.880000\n1415151906\t6.000000\n1415152506\t5.880000\n1415153107\t5.810000\n1415153707\t5.690000\n1415154308\t5.500000\n1415154908\t5.380000\n1415155509\t5.380000\n1415156109\t5.310000\n1415156710\t5.250000\n1415157311\t5.250000\n1415157911\t5.250000\n1415158512\t5.250000\n1415159112\t5.190000\n1415159713\t5.190000\n1415160313\t5.120000\n1415160914\t5.190000\n1415161514\t5.120000\n1415162115\t5.000000\n1415162715\t5.000000\n1415163316\t4.940000\n1415163917\t4.940000\n1415164517\t4.880000\n1415165118\t4.810000\n1415165733\t4.750000\n1415166334\t4.750000\n1415166934\t4.750000\n1415167535\t4.750000\n1415168135\t4.750000\n1415168736\t4.690000\n1415169336\t4.620000\n1415169937\t4.690000\n1415170538\t4.690000\n1415171138\t4.690000\n1415171739\t4.620000\n1415172339\t4.690000\n1415172940\t4.620000\n1415173540\t4.620000\n1415174141\t4.560000\n1415174741\t4.500000\n1415175342\t4.560000\n1415175942\t4.560000\n1415176543\t4.560000\n1415177143\t4.560000\n1415177744\t4.620000\n1415178345\t4.620000\n1415178945\t4.620000\n1415179546\t4.620000\n1415180146\t4.620000\n1415180747\t4.690000\n1415181347\t4.620000\n1415181948\t4.620000\n1415182548\t4.620000\n1415183149\t4.620000\n1415183749\t4.620000\n1415184365\t4.620000\n1415184965\t4.690000\n1415185566\t4.690000\n1415186167\t4.690000\n1415186767\t4.690000\n1415187368\t4.690000\n1415187968\t4.620000\n1415188569\t4.620000\n1415189169\t4.690000\n1415189770\t4.560000\n1415190370\t4.620000\n1415190971\t4.620000\n1415191571\t4.560000\n1415192172\t4.690000\n1415192773\t4.560000\n1415193373\t4.560000\n1415193974\t4.500000\n1415194574\t4.500000\n1415195175\t4.440000\n1415195775\t4.380000\n1415196376\t4.310000\n1415196976\t4.250000\n1415197577\t4.250000\n1415198178\t4.190000\n1415198778\t4.190000\n1415199379\t4.190000\n1415199979\t4.120000\n1415200580\t4.120000\n1415201195\t4.120000\n1415201796\t4.060000\n1415202396\t4.060000\n1415202997\t4.060000\n1415203597\t4.000000\n1415204198\t3.940000\n1415204799\t3.880000\n1415205399\t3.810000\n1415206000\t3.690000\n1415206600\t3.690000\n1415207201\t3.560000\n1415207801\t3.620000\n1415208402\t3.500000\n1415209002\t3.500000\n1415209603\t3.500000\n1415210203\t3.440000\n1415210804\t3.440000\n1415211405\t3.380000\n1415212005\t3.380000\n1415212606\t3.380000\n1415213206\t3.380000\n1415213807\t3.310000\n1415214407\t3.380000\n1415215008\t3.310000\n1415215608\t3.310000\n1415216209\t3.250000\n1415216810\t3.250000\n1415217410\t3.190000\n1415218011\t3.190000\n1415218611\t3.120000\n1415219212\t3.060000\n1415219812\t3.060000\n1415220428\t3.060000\n1415221028\t3.060000\n1415221629\t3.060000\n1415222229\t3.000000\n1415222830\t3.000000\n1415223430\t3.000000\n1415224031\t3.000000\n1415224631\t3.000000\n1415225232\t3.000000\n1415225833\t3.000000\n1415226433\t2.880000\n1415227034\t2.810000\n1415227634\t2.810000\n1415228235\t2.810000\n1415228835\t2.810000\n1415229436\t2.750000\n1415230036\t2.750000\n1415230637\t2.750000\n1415231237\t2.690000\n1415231838\t2.690000\n1415232438\t2.620000\n1415233039\t2.560000\n1415233640\t2.560000\n1415234240\t2.560000\n1415234841\t2.500000\n1415235441\t2.500000\n1415236042\t2.440000\n1415236642\t2.440000\n1415237243\t2.440000\n1415237844\t2.380000\n1415238459\t2.310000\n1415239060\t2.250000\n1415239660\t2.250000\n1415240261\t2.250000\n1415240861\t2.250000\n1415241462\t2.190000\n1415242062\t2.120000\n1415242663\t2.060000\n1415243263\t2.000000\n1415243864\t2.000000\n1415244465\t2.000000\n1415245065\t1.940000\n1415245666\t1.940000\n1415246266\t1.880000\n1415246867\t1.880000\n1415247467\t1.810000\n1415248068\t1.810000\n1415248668\t1.810000\n1415249269\t1.810000\n1415249869\t1.750000\n1415250470\t1.810000\n1415251070\t1.750000\n1415251671\t1.750000\n1415252271\t1.750000\n1415252872\t1.750000\n1415253488\t1.690000\n1415254088\t1.690000\n1415254689\t1.560000\n1415255289\t1.380000\n1415255890\t1.060000\n1415256490\t0.940000\n1415257091\t0.810000\n1415257691\t0.750000\n1415258292\t0.690000\n1415258892\t0.940000\n1415259493\t0.880000\n1415260094\t0.810000\n1415260694\t0.810000\n1415261295\t0.880000\n1415261895\t0.690000\n1415262496\t0.750000\n1415263096\t0.620000\n1415263697\t0.750000\n1415264297\t0.690000\n1415264898\t0.690000\n1415265498\t0.560000\n1415266099\t0.620000\n1415266699\t0.810000\n1415267300\t0.750000\n1415267901\t0.750000\n1415268501\t0.880000\n1415269102\t0.940000\n1415269702\t1.000000\n1415270303\t1.000000\n1415270903\t1.060000\n1415271504\t1.000000\n1415272119\t1.060000\n1415272720\t1.250000\n1415273321\t1.310000\n1415273921\t1.380000\n1415274522\t1.440000\n1415275122\t1.440000\n1415275723\t1.440000\n1415276323\t1.380000\n1415276924\t1.560000\n1415277524\t1.440000\n1415278125\t1.440000\n1415278725\t1.500000\n1415279326\t1.560000\n1415279926\t1.500000\n1415280527\t1.560000\n1415281128\t1.560000\n1415281728\t1.560000\n1415282329\t1.440000\n1415282929\t1.250000\n1415283530\t1.250000\n1415284130\t1.250000\n1415284731\t1.250000\n1415285331\t1.190000\n1415285932\t1.060000\n1415286532\t1.000000\n1415287133\t1.060000\n1415287733\t1.120000\n1415288334\t1.120000\n1415288950\t1.060000\n1415289550\t1.060000\n1415290151\t1.060000\n1415290751\t0.940000\n1415291352\t0.940000\n1415291952\t0.940000\n1415292553\t1.000000\n1415293153\t1.060000\n1415293754\t1.120000\n1415294354\t1.190000\n1415294955\t1.060000\n1415295555\t1.060000\n1415296156\t1.120000\n1415296756\t1.120000\n1415297357\t1.190000\n1415297958\t1.060000\n1415298558\t1.060000\n1415299159\t1.120000\n1415299759\t1.120000\n1415300360\t1.120000\n1415300960\t1.060000\n1415301561\t1.120000\n1415302161\t1.000000\n1415302762\t1.060000\n1415303363\t1.060000\n1415303963\t1.000000\n1415304564\t1.000000\n1415305164\t1.000000\n1415305780\t1.060000\n1415306380\t1.060000\n1415306981\t1.060000\n1415307581\t1.060000\n1415308182\t1.060000\n1415308783\t1.060000\n1415309383\t1.000000\n1415309984\t1.060000\n1415310584\t1.060000\n1415311185\t0.940000\n1415311785\t0.940000\n1415312386\t0.940000\n1415312986\t1.060000\n1415313587\t1.000000\n1415314188\t0.940000\n1415314788\t0.940000\n1415315389\t0.880000\n1415315989\t0.810000\n1415316590\t0.810000\n1415317190\t0.810000\n1415317791\t0.810000\n1415318391\t0.880000\n1415318992\t0.880000\n1415319592\t1.060000\n1415320193\t1.190000\n1415320793\t1.120000\n1415321394\t1.250000\n1415321995\t1.120000\n1415322595\t1.120000\n1415323196\t1.000000\n1415323796\t1.000000\n1415324397\t1.000000\n1415325012\t1.060000\n1415325613\t1.060000\n1415326213\t1.120000\n1415326814\t1.120000\n1415327415\t1.250000\n1415328015\t1.190000\n1415328616\t1.000000\n1415329216\t1.060000\n1415329817\t1.120000\n1415330417\t1.250000\n1415331018\t1.310000\n1415331618\t1.310000\n1415332219\t1.380000\n1415332819\t1.380000\n1415333420\t1.380000\n1415334021\t1.440000\n1415334621\t1.440000\n1415335222\t1.500000\n1415335822\t1.440000\n1415336423\t1.440000\n1415337023\t1.310000\n1415337624\t1.250000\n1415338224\t1.250000\n1415338825\t1.310000\n1415339425\t1.380000\n1415340026\t1.380000\n1415340626\t1.440000\n1415341227\t1.440000\n1415341828\t1.500000\n1415342428\t1.440000\n1415343044\t1.440000\n1415343644\t1.500000\n1415344245\t1.500000\n1415344845\t1.560000\n1415345446\t1.560000\n1415346046\t1.560000\n1415346647\t1.560000\n1415347248\t1.620000\n1415347848\t1.690000\n1415348449\t1.750000\n1415349049\t1.810000\n1415349650\t1.750000\n1415350250\t1.750000\n1415350851\t1.810000\n1415351451\t2.000000\n1415352052\t2.000000\n1415352652\t1.940000\n1415353253\t2.000000\n1415353854\t2.000000\n1415354454\t1.940000\n1415355055\t1.940000\n1415355655\t1.940000\n1415356256\t1.940000\n1415356856\t1.940000\n1415357457\t2.000000\n1415358057\t2.000000\n1415358658\t1.880000\n1415359259\t2.000000\n1415359859\t2.060000\n1415360460\t2.000000\n1415361060\t2.000000\n1415361661\t2.000000\n1415362261\t2.060000\n1415362877\t2.000000\n1415363477\t1.940000\n1415364078\t1.940000\n1415364679\t1.940000\n1415365279\t1.880000\n1415365880\t1.880000\n1415366480\t1.880000\n1415367081\t1.810000\n1415367681\t1.750000\n1415368282\t1.750000\n1415368882\t1.690000\n1415369483\t1.750000\n1415370083\t1.750000\n1415370684\t1.690000\n1415371284\t1.690000\n1415371885\t1.690000\n1415372486\t1.690000\n1415373086\t1.620000\n1415373687\t1.620000\n1415374287\t1.690000\n1415374888\t1.620000\n1415375488\t1.560000\n1415376089\t1.560000\n1415376690\t1.560000\n1415377290\t1.560000\n1415377891\t1.500000\n1415378491\t1.500000\n1415379092\t1.560000\n1415379692\t1.560000\n1415380293\t1.560000\n1415380893\t1.560000\n1415381494\t1.560000\n1415382110\t1.560000\n1415382710\t1.560000\n1415383311\t1.560000\n1415383911\t1.620000\n1415384512\t1.620000\n1415385112\t1.620000\n1415385713\t1.620000\n1415386313\t1.620000\n1415386914\t1.620000\n1415387515\t1.690000\n1415388115\t1.750000\n1415388716\t1.690000\n1415389316\t1.690000\n1415389917\t1.690000\n1415390517\t1.690000\n1415391118\t1.690000\n1415391718\t1.690000\n1415392319\t1.620000\n1415392919\t1.620000\n1415393520\t1.620000\n1415394121\t1.620000\n1415394721\t1.690000\n1415395322\t1.690000\n1415395922\t1.690000\n1415396523\t1.750000\n1415397123\t1.750000\n1415397724\t1.750000\n1415398324\t1.750000\n1415398925\t1.750000\n1415399541\t1.750000\n1415400141\t1.690000\n1415400742\t1.690000\n1415401342\t1.750000\n1415401943\t1.690000\n1415402543\t1.690000\n1415403144\t1.810000\n1415403744\t1.810000\n1415404345\t1.810000\n1415404945\t1.750000\n1415405546\t1.810000\n1415406147\t1.810000\n1415406747\t1.880000\n1415407348\t1.880000\n1415407948\t1.880000\n1415408549\t1.940000\n1415409149\t1.940000\n1415409750\t1.940000\n1415410350\t1.940000\n1415410951\t2.000000\n1415411551\t2.000000\n1415412152\t1.940000\n1415412752\t1.940000\n1415413353\t2.000000\n1415413953\t1.940000\n1415414554\t1.940000\n1415415154\t1.880000\n1415415755\t1.880000\n1415416356\t1.880000\n1415416956\t1.940000\n1415417557\t2.000000\n1415418172\t2.000000\n1415418773\t2.000000\n1415419373\t2.060000\n1415419974\t2.120000\n1415420574\t2.190000\n1415421175\t2.190000\n1415421776\t2.190000\n1415422376\t2.190000\n1415422977\t2.190000\n1415423577\t2.190000\n1415424178\t2.250000\n1415424778\t2.190000\n1415425379\t2.190000\n1415425979\t2.250000\n1415426580\t2.250000\n1415427180\t2.310000\n1415427781\t2.250000\n1415428382\t2.310000\n1415428982\t2.380000\n1415429583\t2.440000\n1415430183\t2.500000\n1415430784\t2.560000\n1415431384\t2.560000\n1415431985\t2.690000\n1415432585\t2.810000\n1415433186\t2.940000\n1415433787\t3.060000\n1415434387\t3.120000\n1415434988\t3.250000\n1415435588\t3.440000\n1415436189\t3.560000\n1415436804\t3.620000\n1415437405\t3.750000\n1415438005\t3.880000\n1415438606\t4.000000\n1415439206\t4.000000\n1415439807\t4.250000\n1415440407\t4.310000\n1415441008\t4.310000\n1415441609\t4.440000\n1415442209\t4.500000\n1415442810\t4.500000\n1415443410\t4.620000\n1415444011\t4.690000\n1415444611\t4.750000\n1415445212\t4.940000\n1415445812\t5.120000\n1415446413\t5.120000\n1415447013\t5.310000\n1415447614\t5.380000\n1415448215\t5.310000\n1415448815\t5.310000\n1415449416\t5.380000\n1415450016\t5.310000\n1415450617\t5.500000\n1415451217\t5.620000\n1415451818\t5.690000\n1415452418\t5.690000\n1415453019\t5.690000\n1415453620\t5.750000\n1415454220\t5.690000\n1415454821\t5.750000\n1415455421\t5.810000\n1415456022\t5.880000\n1415456622\t6.000000\n1415457223\t6.060000\n1415457838\t6.000000\n1415458439\t5.940000\n1415459039\t6.060000\n1415459640\t6.060000\n1415460241\t6.060000\n1415460841\t6.000000\n1415461442\t6.000000\n1415462042\t6.000000\n1415462643\t6.060000\n1415463243\t6.060000\n1415463844\t6.060000\n1415464444\t6.120000\n1415465045\t6.190000\n1415465645\t6.250000\n1415466246\t6.190000\n1415466847\t6.250000\n1415467447\t6.310000\n1415468048\t6.310000\n1415468648\t6.310000\n1415469249\t6.380000\n1415469849\t6.310000\n1415470450\t6.250000\n1415471050\t6.250000\n1415471651\t6.310000\n1415472251\t6.310000\n1415472852\t6.310000\n1415473452\t6.190000\n1415474053\t6.120000\n1415474653\t6.060000\n1415475254\t6.120000\n1415475855\t6.190000\n1415476455\t6.310000\n1415477056\t6.440000\n1415477656\t6.560000\n1415478272\t6.560000\n1415478872\t6.500000\n1415479473\t6.500000\n1415480073\t6.560000\n1415480674\t6.560000\n1415481275\t6.620000\n1415481875\t6.620000\n1415482476\t6.620000\n1415483076\t6.690000\n1415483677\t6.690000\n1415484277\t6.690000\n1415484878\t6.690000\n1415485478\t6.750000\n1415486079\t6.810000\n1415486680\t6.750000\n1415487280\t6.810000\n1415487881\t6.810000\n1415488481\t6.810000\n1415489082\t6.750000\n1415489682\t6.690000\n1415490283\t6.690000\n1415490883\t6.620000\n1415491484\t6.620000\n1415492084\t6.690000\n1415492685\t6.620000\n1415493285\t6.560000\n1415493886\t6.620000\n1415494487\t6.560000\n1415495087\t6.500000\n1415495688\t6.500000\n1415496288\t6.560000\n1415496889\t6.560000\n1415497489\t6.620000\n1415498105\t6.690000\n1415498705\t6.690000\n1415499306\t6.690000\n1415499906\t6.690000\n1415500507\t6.810000\n1415501108\t6.750000\n1415501708\t6.620000\n1415502309\t6.560000\n1415502909\t6.690000\n1415503510\t6.750000\n1415504110\t6.810000\n1415504711\t6.810000\n1415505311\t6.880000\n1415505912\t6.810000\n1415506512\t6.690000\n1415507113\t6.690000\n1415507713\t6.620000\n1415508314\t6.750000\n1415508915\t6.750000\n1415509515\t6.750000\n1415510116\t6.750000\n1415510716\t6.750000\n1415511317\t6.750000\n1415511917\t6.690000\n1415512518\t6.690000\n1415513118\t6.620000\n1415513719\t6.620000\n1415514334\t6.620000\n1415514935\t6.810000\n1415515536\t6.810000\n1415516136\t6.810000\n1415516737\t6.690000\n1415517337\t6.620000\n1415517938\t6.500000\n1415518538\t6.440000\n1415519139\t6.440000\n1415519739\t6.500000\n1415520340\t6.620000\n1415520940\t6.750000\n1415521541\t6.940000\n1415522142\t7.120000\n1415522742\t7.310000\n1415523343\t7.440000\n1415523943\t7.560000\n1415524544\t7.810000\n1415525144\t7.940000\n1415525745\t8.060000\n1415526345\t8.250000\n1415526946\t8.440000\n1415527547\t8.620000\n1415528147\t8.750000\n1415528748\t8.690000\n1415529348\t8.690000\n1415529949\t8.690000\n1415530549\t8.690000\n1415531150\t8.690000\n1415531750\t8.690000\n1415532351\t8.750000\n1415532967\t8.690000\n1415533567\t8.750000\n1415534168\t8.750000\n1415534768\t8.690000\n1415535369\t8.750000\n1415535969\t8.690000\n1415536570\t8.500000\n1415537170\t8.500000\n1415537771\t8.560000\n1415538371\t8.690000\n1415538972\t8.560000\n1415539573\t8.440000\n1415540173\t8.310000\n1415540774\t8.250000\n1415541374\t8.190000\n1415541975\t8.250000\n1415542575\t8.120000\n1415543176\t8.060000\n1415543776\t8.000000\n1415544377\t7.940000\n1415544978\t7.940000\n1415545578\t7.810000\n1415546179\t7.690000\n1415546779\t7.620000\n1415547380\t7.620000\n1415547980\t7.560000\n1415548581\t7.440000\n1415549181\t7.440000\n1415549782\t7.380000\n1415550383\t7.380000\n1415550983\t7.310000\n1415551584\t7.310000\n1415552199\t7.380000\n1415552800\t7.380000\n1415553400\t7.190000\n1415554001\t6.940000\n1415554601\t6.690000\n1415555202\t6.440000\n1415555802\t6.310000\n1415556403\t6.310000\n1415557004\t6.310000\n1415557604\t6.310000\n1415558205\t6.440000\n1415558805\t6.440000\n1415559406\t6.750000\n1415560006\t6.880000\n1415560607\t6.940000\n1415561207\t6.940000\n1415561808\t6.940000\n1415562408\t6.940000\n1415563009\t6.940000\n1415563609\t6.940000\n1415564210\t6.690000\n1415564810\t6.560000\n1415565411\t6.440000\n1415566012\t6.440000\n1415566612\t6.380000\n1415567213\t6.310000\n1415567828\t6.190000\n1415568429\t6.120000\n1415569029\t6.310000\n1415569630\t6.440000\n1415570231\t6.500000\n1415570831\t6.380000\n1415571432\t6.440000\n1415572032\t6.440000\n1415572633\t6.440000\n1415573233\t6.440000\n1415573834\t6.440000\n1415574434\t6.440000\n1415575035\t6.500000\n1415575635\t6.560000\n1415576236\t6.560000\n1415576837\t6.560000\n1415577437\t6.560000\n1415578038\t6.560000\n1415578638\t6.620000\n1415579239\t6.690000\n1415579839\t6.690000\n1415580440\t6.690000\n1415581040\t6.750000\n1415581641\t6.750000\n1415582241\t6.810000\n1415582842\t6.810000\n1415583443\t6.810000\n1415584043\t6.810000\n1415584659\t6.810000\n1415585259\t6.810000\n1415585860\t6.810000\n1415586460\t6.880000\n1415587061\t6.810000\n1415587661\t6.810000\n1415588262\t6.810000\n1415588863\t6.880000\n1415589463\t6.880000\n1415590064\t6.880000\n1415590664\t6.880000\n1415591265\t6.940000\n1415591865\t6.940000\n1415592466\t6.940000\n1415593066\t6.940000\n1415593667\t7.000000\n1415594267\t7.000000\n1415594868\t7.000000\n1415595468\t6.940000\n1415596069\t6.940000\n1415596670\t7.000000\n1415597270\t7.000000\n1415597871\t7.000000\n1415598471\t7.060000\n1415599072\t7.060000\n1415599672\t7.060000\n1415600273\t7.060000\n1415600873\t7.120000\n1415601474\t7.060000\n1415602074\t7.120000\n1415602675\t7.190000\n1415603291\t7.190000\n1415603891\t7.250000\n1415604492\t7.250000\n1415605092\t7.310000\n1415605693\t7.310000\n1415606293\t7.380000\n1415606894\t7.380000\n1415607494\t7.500000\n1415608095\t7.560000\n1415608696\t7.620000\n1415609296\t7.690000\n1415609897\t7.810000\n1415610497\t7.880000\n1415611098\t7.880000\n1415611698\t8.000000\n1415612299\t7.940000\n1415612899\t8.000000\n1415613500\t8.060000\n1415614101\t8.120000\n1415614701\t8.250000\n1415615302\t8.440000\n1415615902\t8.560000\n1415616503\t8.560000\n1415617103\t8.440000\n1415617704\t8.560000\n1415618304\t8.560000\n1415618905\t8.620000\n1415619505\t8.750000\n1415620121\t8.810000\n1415620722\t8.940000\n1415621322\t9.060000\n1415621923\t9.120000\n1415622523\t9.190000\n1415623124\t9.000000\n1415623724\t8.810000\n1415624325\t8.810000\n1415624925\t8.810000\n1415625526\t8.810000\n1415626126\t8.810000\n1415626727\t8.750000\n1415627328\t8.750000\n1415627928\t8.690000\n1415628529\t8.690000\n1415629129\t8.690000\n1415629730\t8.690000\n1415630330\t8.620000\n1415630931\t8.620000\n1415631531\t8.620000\n1415632132\t8.690000\n1415632732\t8.560000\n1415633333\t8.500000\n1415633933\t8.440000\n1415634534\t8.380000\n1415635134\t8.310000\n1415635750\t8.310000\n1415636351\t8.310000\n1415636951\t8.310000\n1415637552\t8.310000\n1415638152\t8.380000\n1415638753\t8.380000\n1415639353\t8.380000\n1415639954\t8.380000\n1415640554\t8.380000\n1415641155\t8.310000\n1415641755\t8.440000\n1415642356\t8.500000\n1415642956\t8.500000\n1415643557\t8.440000\n1415644158\t8.380000\n1415644758\t8.380000\n1415645359\t8.310000\n1415645959\t8.250000\n1415646560\t8.190000\n1415647160\t8.190000\n1415647761\t8.190000\n1415648361\t8.120000\n1415648962\t8.190000\n1415649562\t8.120000\n1415650163\t8.120000\n1415650764\t8.190000\n1415651364\t8.190000\n1415651965\t8.120000\n1415652565\t8.120000\n1415653166\t8.190000\n1415653781\t8.190000\n1415654382\t8.250000\n1415654982\t8.310000\n1415655583\t8.310000\n1415656183\t8.310000\n1415656784\t8.380000\n1415657385\t8.380000\n1415657985\t8.440000\n1415658586\t8.440000\n1415659186\t8.500000\n1415659787\t8.500000\n1415660387\t8.500000\n1415660988\t8.500000\n1415661588\t8.560000\n1415662189\t8.500000\n1415662789\t8.440000\n1415663390\t8.440000\n1415663991\t8.500000\n1415664591\t8.500000\n1415665192\t8.500000\n1415665792\t8.560000\n1415666393\t8.560000\n1415666993\t8.560000\n1415667594\t8.560000\n1415668194\t8.560000\n1415668795\t8.560000\n1415669395\t8.500000\n1415669996\t8.620000\n1415670597\t8.620000\n1415671197\t8.620000\n1415671798\t8.620000\n1415672413\t8.620000\n1415673014\t8.690000\n1415673614\t8.690000\n1415674215\t8.690000\n1415674815\t8.690000\n1415675416\t8.620000\n1415676017\t8.690000\n1415676617\t8.690000\n1415677218\t8.690000\n1415677818\t8.750000\n1415678419\t8.750000\n1415679019\t8.750000\n1415679620\t8.750000\n1415680220\t8.750000\n1415680821\t8.750000\n1415681422\t8.750000\n1415682022\t8.750000\n1415682623\t8.810000\n1415683223\t8.810000\n1415683824\t8.810000\n1415684424\t8.810000\n1415685025\t8.810000\n1415685625\t8.750000\n1415686226\t8.810000\n1415686827\t8.880000\n1415687427\t8.940000\n1415688028\t8.880000\n1415688628\t8.880000\n1415689244\t8.810000\n1415689844\t8.750000\n1415690445\t8.810000\n1415691045\t8.940000\n1415691646\t8.940000\n1415692246\t8.880000\n1415692847\t8.810000\n1415693448\t8.880000\n1415694048\t8.880000\n1415694649\t8.940000\n1415695249\t9.000000\n1415695850\t9.190000\n1415696450\t9.310000\n1415697051\t9.310000\n1415697651\t9.380000\n1415698252\t9.310000\n1415698852\t9.250000\n1415699453\t9.250000\n1415700053\t9.250000\n1415700654\t9.500000\n1415701255\t9.620000\n1415701855\t9.560000\n1415702456\t9.560000\n1415703056\t9.620000\n1415703657\t9.440000\n1415704257\t9.440000\n1415704858\t9.440000\n1415705458\t9.500000\n1415706059\t9.500000\n1415706660\t9.500000\n1415707260\t9.560000\n1415707861\t9.560000\n1415708476\t9.560000\n1415709077\t9.440000\n1415709677\t9.380000\n1415710278\t9.380000\n1415710878\t9.380000\n1415711479\t9.380000\n1415712079\t9.380000\n1415712680\t9.380000\n1415713280\t9.310000\n1415713881\t9.310000\n1415714482\t9.250000\n1415715082\t9.250000\n1415715683\t9.190000\n1415716283\t9.120000\n1415716884\t9.120000\n1415717287\t9.120000\n1415718470\t9.000000\n1415718566\t9.000000\n1415721323\t8.620000\n1415721924\t8.440000\n1415722524\t8.310000\n1415723125\t8.310000\n1415723726\t8.190000\n1415724326\t7.940000\n1415724927\t7.810000\n1415725527\t7.690000\n1415726128\t7.620000\n1415726743\t7.620000\n1415727344\t7.560000\n1415727945\t7.440000\n1415728545\t7.380000\n1415729146\t7.250000\n1415729746\t7.120000\n1415730347\t7.250000\n1415730947\t7.380000\n1415731548\t7.500000\n1415732148\t7.560000\n1415732749\t7.500000\n1415733350\t7.440000\n1415733950\t7.190000\n1415734551\t7.000000\n1415735151\t6.810000\n1415735752\t6.750000\n1415736352\t6.500000\n1415736953\t6.380000\n1415737553\t6.120000\n1415738154\t6.190000\n1415738754\t6.250000\n1415739355\t6.250000\n1415739956\t6.060000\n1415740556\t6.060000\n1415741157\t6.060000\n1415741757\t6.000000\n1415742358\t5.880000\n1415742958\t5.940000\n1415743559\t6.060000\n1415744159\t6.000000\n1415744760\t5.690000\n1415745361\t5.560000\n1415745961\t5.440000\n1415746562\t5.440000\n1415747162\t5.310000\n1415747763\t5.000000\n1415748363\t4.560000\n1415748964\t4.880000\n1415749565\t4.880000\n1415750165\t4.810000\n1415750766\t4.560000\n1415751381\t4.560000\n1415751982\t4.750000\n1415752582\t4.810000\n1415753183\t4.750000\n1415753783\t4.810000\n1415754384\t4.690000\n1415754984\t4.380000\n1415755585\t4.500000\n1415756186\t4.560000\n1415756786\t4.560000\n1415757387\t4.380000\n1415757987\t4.310000\n1415758588\t4.440000\n1415759188\t4.620000\n1415759789\t4.810000\n1415760389\t4.810000\n1415760990\t5.000000\n1415761591\t4.940000\n1415762191\t5.000000\n1415762792\t5.120000\n1415763392\t5.190000\n1415763993\t5.310000\n1415764593\t5.310000\n1415765194\t5.380000\n1415765794\t5.380000\n1415766395\t5.310000\n1415766995\t5.310000\n1415767596\t5.380000\n1415768197\t5.310000\n1415768797\t5.310000\n1415769398\t5.380000\n1415769998\t5.560000\n1415770599\t5.620000\n1415771199\t5.620000\n1415771800\t5.500000\n1415772400\t5.560000\n1415773016\t5.620000\n1415773617\t5.690000\n1415774217\t5.750000\n1415774818\t5.810000\n1415775418\t5.810000\n1415776019\t5.810000\n1415776619\t5.940000\n1415777220\t5.880000\n1415777820\t5.880000\n1415778421\t5.880000\n1415779021\t5.810000\n1415779622\t5.940000\n1415780223\t6.000000\n1415780823\t6.000000\n1415781424\t6.120000\n1415782024\t6.250000\n1415782625\t6.250000\n1415783225\t6.250000\n1415783826\t6.380000\n1415784426\t6.560000\n1415785027\t6.560000\n1415785628\t6.380000\n1415786228\t6.500000\n1415786829\t6.620000\n1415787429\t6.560000\n1415788030\t6.380000\n1415788630\t6.380000\n1415789231\t6.310000\n1415789831\t6.440000\n1415790432\t6.380000\n1415791032\t6.380000\n1415791633\t6.440000\n1415792233\t6.500000\n1415792834\t6.500000\n1415793435\t6.560000\n1415794050\t6.560000\n1415794651\t6.560000\n1415795251\t6.500000\n1415795852\t6.560000\n1415796452\t6.560000\n1415797053\t6.560000\n1415797653\t6.560000\n1415798254\t6.560000\n1415798854\t6.560000\n1415799455\t6.560000\n1415800056\t6.500000\n1415800656\t6.500000\n1415801257\t6.500000\n1415801857\t6.500000\n1415802458\t6.500000\n1415803058\t6.560000\n1415803659\t6.620000\n1415804259\t6.620000\n1415804860\t6.620000\n1415805460\t6.690000\n1415806061\t6.750000\n1415806661\t6.810000\n1415807262\t6.810000\n1415807862\t6.810000\n1415808463\t6.880000\n1415809064\t6.810000\n1415809664\t6.810000\n1415810265\t6.810000\n1415810865\t6.810000\n1415811466\t6.810000\n1415812066\t6.810000\n1415812667\t6.810000\n1415813282\t6.810000\n1415813883\t6.810000\n1415814484\t6.880000\n1415815084\t6.810000\n1415815685\t6.810000\n1415816285\t6.880000\n1415816886\t6.880000\n1415817486\t6.880000\n1415818087\t6.940000\n1415818687\t6.880000\n1415819288\t6.940000\n1415819888\t6.880000\n1415820489\t6.940000\n1415821089\t6.940000\n1415821690\t6.940000\n1415822291\t6.940000\n1415822891\t6.940000\n1415823492\t6.940000\n1415824092\t6.880000\n1415824693\t6.880000\n1415825293\t6.810000\n1415825894\t6.750000\n1415826494\t6.620000\n1415827095\t6.560000\n1415827695\t6.500000\n1415828296\t6.440000\n1415828896\t6.440000\n1415829497\t6.380000\n1415830097\t6.310000\n1415830698\t6.310000\n1415831314\t6.250000\n1415831914\t6.250000\n1415832515\t6.250000\n1415833115\t6.250000\n1415833716\t6.250000\n1415834316\t6.190000\n1415834917\t6.120000\n1415835517\t6.120000\n1415836118\t6.120000\n1415836719\t6.060000\n1415837319\t6.060000\n1415837920\t6.120000\n1415838520\t6.060000\n1415839121\t6.120000\n1415839721\t6.120000\n1415840322\t6.120000\n1415840922\t6.120000\n1415841523\t6.190000\n1415842123\t6.120000\n1415842724\t6.120000\n1415843324\t6.190000\n1415843925\t6.190000\n1415844525\t6.190000\n1415845126\t6.190000\n1415845726\t6.190000\n1415846327\t6.190000\n1415846928\t6.190000\n1415847528\t6.190000\n1415848129\t6.190000\n1415848744\t6.190000\n1415849345\t6.190000\n1415849945\t6.190000\n1415850546\t6.250000\n1415851146\t6.250000\n1415851747\t6.310000\n1415852347\t6.310000\n1415852948\t6.310000\n1415853548\t6.310000\n1415854149\t6.310000\n1415854749\t6.310000\n1415855350\t6.310000\n1415855950\t6.380000\n1415856551\t6.380000\n1415857152\t6.380000\n1415857752\t6.440000\n1415858353\t6.440000\n1415858953\t6.500000\n1415859554\t6.500000\n1415860154\t6.500000\n1415860755\t6.500000\n1415861355\t6.560000\n1415861956\t6.560000\n1415862556\t6.560000\n1415863157\t6.620000\n1415863757\t6.620000\n1415864358\t6.690000\n1415864959\t6.690000\n1415865559\t6.690000\n1415866160\t6.750000\n1415866760\t6.750000\n1415867376\t6.750000\n1415867976\t6.690000\n1415868577\t6.690000\n1415869177\t6.690000\n1415869778\t6.690000\n1415870378\t6.750000\n1415870979\t6.750000\n1415871579\t6.810000\n1415872180\t6.880000\n1415872780\t6.940000\n1415873381\t6.810000\n1415873982\t6.810000\n1415874582\t6.750000\n1415875183\t6.690000\n1415875783\t6.690000\n1415876384\t6.690000\n1415876984\t6.690000\n1415877585\t6.690000\n1415878185\t6.750000\n1415878786\t6.810000\n1415879386\t6.810000\n1415879987\t6.750000\n1415880587\t6.750000\n1415881188\t6.750000\n1415881789\t6.750000\n1415882389\t6.750000\n1415882990\t6.810000\n1415883590\t6.810000\n1415884191\t6.750000\n1415884791\t6.810000\n1415885407\t6.810000\n1415886007\t6.750000\n1415886608\t6.750000\n1415887208\t6.810000\n1415887809\t6.810000\n1415888410\t6.810000\n1415889010\t6.810000\n1415889611\t6.810000\n1415890211\t6.880000\n1415890812\t6.880000\n1415891412\t6.880000\n1415892013\t6.880000\n1415892613\t6.880000\n1415893214\t6.880000\n1415893814\t6.880000\n1415894415\t6.880000\n1415895015\t6.880000\n1415895616\t6.940000\n1415896216\t6.940000\n1415896817\t7.000000\n1415897417\t7.000000\n1415898018\t7.000000\n1415898619\t7.000000\n1415899219\t7.000000\n1415899820\t7.060000\n1415900420\t7.060000\n1415901021\t7.060000\n1415901621\t7.060000\n1415902222\t7.060000\n1415902822\t7.060000\n1415903423\t7.060000\n1415904039\t7.000000\n1415904639\t7.000000\n1415905240\t7.000000\n1415905840\t6.940000\n1415906441\t6.940000\n1415907041\t7.000000\n1415907642\t6.940000\n1415908242\t6.940000\n1415908843\t6.940000\n1415909443\t6.940000\n1415910044\t7.000000\n1415910644\t7.000000\n1415911245\t6.940000\n1415911845\t6.940000\n1415912446\t6.940000\n1415913046\t6.940000\n1415913647\t6.940000\n1415914247\t6.940000\n1415914848\t6.880000\n1415915449\t6.810000\n1415916049\t6.810000\n1415916650\t6.810000\n1415917250\t6.810000\n1415917851\t6.750000\n1415918451\t6.750000\n1415919052\t6.750000\n1415919652\t6.750000\n1415920253\t6.750000\n1415920853\t6.750000\n1415921469\t6.750000\n1415922070\t6.750000\n1415922670\t6.750000\n1415923270\t6.750000\n1415923871\t6.750000\n1415924472\t6.750000\n1415925072\t6.750000\n1415925673\t6.750000\n1415926273\t6.750000\n1415926874\t6.750000\n1415927474\t6.690000\n1415928075\t6.690000\n1415928675\t6.690000\n1415929276\t6.690000\n1415929877\t6.690000\n1415930477\t6.690000\n1415931078\t6.690000\n1415931678\t6.690000\n1415932279\t6.750000\n1415932879\t6.690000\n1415933480\t6.690000\n1415934080\t6.690000\n1415934681\t6.750000\n1415935281\t6.750000\n1415935882\t6.690000\n1415936482\t6.750000\n1415937083\t6.750000\n1415937684\t6.750000\n1415938284\t6.690000\n1415938885\t6.690000\n1415939485\t6.690000\n1415940101\t6.620000\n1415940701\t6.560000\n1415941302\t6.560000\n1415941902\t6.560000\n1415942503\t6.560000\n1415943104\t6.500000\n1415943704\t6.560000\n1415944305\t6.560000\n1415944905\t6.500000\n1415945506\t6.500000\n1415946106\t6.500000\n1415946707\t6.500000\n1415947307\t6.500000\n1415947908\t6.500000\n1415948509\t6.500000\n1415949109\t6.500000\n1415949710\t6.500000\n1415950310\t6.500000\n1415950911\t6.500000\n1415951511\t6.500000\n1415952112\t6.500000\n1415952712\t6.500000\n1415953313\t6.500000\n1415953913\t6.560000\n1415954514\t6.560000\n1415955114\t6.560000\n1415955715\t6.560000\n1415956315\t6.560000\n1415956916\t6.620000\n1415957517\t6.560000\n1415958132\t6.620000\n1415958733\t6.620000\n1415959333\t6.690000\n1415959934\t6.750000\n1415960534\t6.750000\n1415961135\t6.750000\n1415961735\t6.880000\n1415962336\t6.880000\n1415962936\t6.940000\n1415963537\t7.000000\n1415964137\t7.060000\n1415964738\t7.060000\n1415965338\t7.060000\n1415965939\t7.060000\n1415966540\t7.060000\n1415967140\t7.000000\n1415967741\t7.000000\n1415968341\t7.000000\n1415968942\t7.000000\n1415969542\t7.000000\n1415970143\t7.000000\n1415970743\t7.000000\n1415971344\t7.000000\n1415971945\t6.940000\n1415972545\t6.940000\n1415973146\t6.880000\n1415973746\t6.810000\n1415974347\t6.810000\n1415974947\t6.750000\n1415975548\t6.690000\n1415976163\t6.750000\n1415976764\t6.690000\n1415977364\t6.620000\n1415977965\t6.620000\n1415978565\t6.620000\n1415979166\t6.620000\n1415979767\t6.620000\n1415980367\t6.560000\n1415980968\t6.560000\n1415981568\t6.560000\n1415982169\t6.560000\n1415982769\t6.560000\n1415983370\t6.500000\n1415983970\t6.500000\n1415984571\t6.500000\n1415985171\t6.560000\n1415985772\t6.500000\n1415986372\t6.440000\n1415986973\t6.440000\n1415987573\t6.440000\n1415988174\t6.380000\n1415988775\t6.380000\n1415989375\t6.380000\n1415989976\t6.380000\n1415990576\t6.380000\n1415991177\t6.440000\n1415991777\t6.380000\n1415992378\t6.380000\n1415992978\t6.310000\n1415993579\t6.250000\n1415994179\t6.250000\n1415994795\t6.190000\n1415995396\t6.190000\n1415995996\t6.120000\n1415996597\t6.190000\n1415997197\t6.120000\n1415997798\t6.120000\n1415998398\t6.120000\n1415998999\t6.120000\n1415999599\t6.120000\n1416000200\t6.120000\n1416000800\t6.120000\n1416001401\t6.060000\n1416002001\t6.060000\n1416002602\t6.060000\n1416003203\t6.060000\n1416003803\t6.060000\n1416004404\t6.060000\n1416005004\t6.060000\n1416005605\t6.060000\n1416006205\t6.060000\n1416006806\t6.060000\n1416007406\t6.060000\n1416008007\t6.060000\n1416008607\t6.060000\n1416009208\t6.060000\n1416009809\t6.060000\n1416010409\t6.060000\n1416011010\t6.120000\n1416011610\t6.120000\n1416012211\t6.120000\n1416012826\t6.120000\n1416013427\t6.120000\n1416014027\t6.120000\n1416014628\t6.120000\n1416015228\t6.120000\n1416015829\t6.120000\n1416016429\t6.120000\n1416017030\t6.120000\n1416017630\t6.060000\n1416018231\t6.060000\n1416018832\t6.060000\n1416019432\t6.120000\n1416020033\t6.120000\n1416020633\t6.120000\n1416021234\t6.120000\n1416021834\t6.120000\n1416022435\t6.120000\n1416023035\t6.060000\n1416023636\t6.060000\n1416024236\t6.120000\n1416024837\t6.060000\n1416025438\t6.060000\n1416026038\t6.060000\n1416026639\t6.000000\n1416027239\t6.000000\n1416027840\t6.060000\n1416028440\t6.060000\n1416029041\t6.060000\n1416029641\t6.060000\n1416030242\t6.000000\n1416030842\t6.000000\n1416031458\t6.000000\n1416032058\t5.940000\n1416032659\t5.940000\n1416033259\t5.940000\n1416033860\t5.880000\n1416034461\t5.880000\n1416035061\t5.880000\n1416035662\t5.880000\n1416036262\t5.810000\n1416036863\t5.810000\n1416037463\t5.810000\n1416038064\t5.810000\n1416038664\t5.810000\n1416039265\t5.810000\n1416039865\t5.810000\n1416040466\t5.810000\n1416041067\t5.810000\n1416041667\t5.810000\n1416042268\t5.810000\n1416042868\t5.810000\n1416043469\t5.880000\n1416044069\t5.880000\n1416044670\t5.880000\n1416045270\t5.940000\n1416045871\t5.940000\n1416046471\t5.940000\n1416047072\t6.000000\n1416047672\t6.000000\n1416048273\t6.000000\n1416048889\t6.000000\n1416049489\t6.000000\n1416050090\t6.000000\n1416050690\t6.000000\n1416051291\t6.060000\n1416051891\t6.060000\n1416052492\t6.060000\n1416053092\t6.120000\n1416053693\t6.190000\n1416054293\t6.120000\n1416054894\t6.120000\n1416055495\t6.120000\n1416056095\t6.190000\n1416056696\t6.190000\n1416057296\t6.120000\n1416057897\t6.120000\n1416058497\t6.060000\n1416059098\t6.060000\n1416059698\t6.060000\n1416060299\t6.060000\n1416060899\t6.060000\n1416061500\t6.000000\n1416062101\t6.000000\n1416062701\t6.000000\n1416063302\t6.000000\n1416063902\t5.940000\n1416064503\t5.940000\n1416065103\t5.940000\n1416065719\t5.940000\n1416066319\t5.940000\n1416066920\t5.940000\n1416067521\t5.940000\n1416068121\t5.940000\n1416068722\t5.940000\n1416069322\t5.880000\n1416069923\t5.880000\n1416070523\t5.810000\n1416071124\t5.880000\n1416071724\t5.810000\n1416072325\t5.810000\n1416072925\t5.810000\n1416073526\t5.810000\n1416074126\t5.810000\n1416074727\t5.810000\n1416075327\t5.810000\n1416075928\t5.810000\n1416076528\t5.750000\n1416077129\t5.690000\n1416077730\t5.690000\n1416078330\t5.690000\n1416078931\t5.690000\n1416079531\t5.620000\n1416080132\t5.690000\n1416080732\t5.620000\n1416081333\t5.690000\n1416081933\t5.690000\n1416082534\t5.620000\n1416083134\t5.690000\n1416083735\t5.690000\n1416084350\t5.750000\n1416084951\t5.750000\n1416085552\t5.750000\n1416086152\t5.810000\n1416086753\t5.880000\n1416087353\t5.880000\n1416087954\t5.810000\n1416088554\t5.880000\n1416089155\t5.940000\n1416089755\t5.940000\n1416090356\t5.880000\n1416090956\t5.940000\n1416091557\t5.940000\n1416092157\t6.000000\n1416092758\t6.000000\n1416093358\t5.940000\n1416093959\t5.940000\n1416094559\t5.880000\n1416095160\t5.810000\n1416095761\t5.810000\n1416096361\t5.810000\n1416096962\t5.750000\n1416097562\t5.750000\n1416098163\t5.810000\n1416098763\t5.750000\n1416099364\t5.750000\n1416099964\t5.750000\n1416100580\t5.750000\n1416101180\t5.750000\n1416101781\t5.690000\n1416102381\t5.750000\n1416102982\t5.690000\n1416103583\t5.690000\n1416104183\t5.750000\n1416104784\t5.690000\n1416105384\t5.750000\n1416105985\t5.750000\n1416106585\t5.690000\n1416107186\t5.750000\n1416107786\t5.750000\n1416108387\t5.750000\n1416108987\t5.750000\n1416109588\t5.750000\n1416110188\t5.750000\n1416110789\t5.750000\n1416111389\t5.750000\n1416111990\t5.810000\n1416112590\t5.750000\n1416113191\t5.750000\n1416113792\t5.690000\n1416114392\t5.750000\n1416114993\t5.690000\n1416115593\t5.690000\n1416116194\t5.620000\n1416116794\t5.620000\n1416117395\t5.690000\n1416117995\t5.690000\n1416118596\t5.690000\n1416119196\t5.620000\n1416119812\t5.620000\n1416120413\t5.620000\n1416121013\t5.620000\n1416121614\t5.690000\n1416122214\t5.620000\n1416122815\t5.690000\n1416123415\t5.690000\n1416124016\t5.690000\n1416124616\t5.810000\n1416125217\t5.810000\n1416125817\t5.880000\n1416126418\t5.880000\n1416127019\t5.880000\n1416127619\t5.810000\n1416128220\t5.810000\n1416128820\t5.880000\n1416129421\t5.880000\n1416130021\t5.880000\n1416130622\t5.810000\n1416131222\t5.810000\n1416131823\t5.880000\n1416132423\t5.810000\n1416133024\t5.810000\n1416133625\t5.810000\n1416134225\t5.810000\n1416134826\t5.810000\n1416135426\t5.810000\n1416136027\t5.810000\n1416136627\t5.810000\n1416137228\t5.810000\n1416137828\t5.810000\n1416138429\t5.810000\n1416139029\t5.750000\n1416139630\t5.750000\n1416140230\t5.810000\n1416140846\t5.750000\n1416141447\t5.750000\n1416142047\t5.750000\n1416142648\t5.690000\n1416143248\t5.690000\n1416143849\t5.690000\n1416144449\t5.690000\n1416145050\t5.690000\n1416145650\t5.690000\n1416146251\t5.750000\n1416146851\t5.690000\n1416147452\t5.620000\n1416148052\t5.690000\n1416148653\t5.620000\n1416149254\t5.620000\n1416149854\t5.690000\n1416150455\t5.620000\n1416151055\t5.690000\n1416151656\t5.690000\n1416152256\t5.620000\n1416152857\t5.620000\n1416153457\t5.620000\n1416154058\t5.620000\n1416154658\t5.560000\n1416155259\t5.620000\n1416155859\t5.620000\n1416156460\t5.620000\n1416157061\t5.620000\n1416157661\t5.620000\n1416158262\t5.560000\n1416158862\t5.560000\n1416159463\t5.560000\n1416160063\t5.560000\n1416160664\t5.560000\n1416161279\t5.560000\n1416161880\t5.500000\n1416162480\t5.500000\n1416163081\t5.500000\n1416163681\t5.500000\n1416164282\t5.440000\n1416164882\t5.440000\n1416165483\t5.440000\n1416166083\t5.380000\n1416166684\t5.380000\n1416167285\t5.380000\n1416167885\t5.380000\n1416168486\t5.380000\n1416169086\t5.380000\n1416169687\t5.440000\n1416170287\t5.380000\n1416170888\t5.310000\n1416171488\t5.310000\n1416172089\t5.310000\n1416172689\t5.250000\n1416173290\t5.250000\n1416173890\t5.250000\n1416174491\t5.250000\n1416175092\t5.250000\n1416175692\t5.190000\n1416176293\t5.120000\n1416176893\t5.120000\n1416177494\t5.190000\n1416178094\t5.190000\n1416178695\t5.120000\n1416179295\t5.120000\n1416179911\t5.060000\n1416180511\t5.060000\n1416181112\t5.000000\n1416181713\t5.060000\n1416182313\t5.060000\n1416182914\t5.000000\n1416183514\t5.000000\n1416184115\t5.000000\n1416184715\t4.940000\n1416185316\t4.940000\n1416185916\t4.880000\n1416186517\t4.940000\n1416187117\t4.880000\n1416187718\t4.880000\n1416188318\t4.810000\n1416188919\t4.880000\n1416189519\t4.880000\n1416190120\t4.880000\n1416190720\t4.880000\n1416191321\t4.810000\n1416191922\t4.750000\n1416192522\t4.810000\n1416193123\t4.750000\n1416193723\t4.750000\n1416194324\t4.750000\n1416194924\t4.750000\n1416195525\t4.750000\n1416196125\t4.750000\n1416196726\t4.750000\n1416197327\t4.810000\n1416197927\t4.750000\n1416198543\t4.810000\n1416199143\t4.810000\n1416199744\t4.810000\n1416200344\t4.810000\n1416200945\t4.750000\n1416201545\t4.750000\n1416202146\t4.810000\n1416202746\t4.810000\n1416203347\t4.750000\n1416203947\t4.810000\n1416204548\t4.810000\n1416205148\t4.750000\n1416205749\t4.810000\n1416206349\t4.810000\n1416206950\t4.810000\n1416207551\t4.810000\n1416208151\t4.810000\n1416208752\t4.750000\n1416209352\t4.750000\n1416209953\t4.750000\n1416210553\t4.690000\n1416211154\t4.690000\n1416211754\t4.690000\n1416212355\t4.620000\n1416212955\t4.560000\n1416213556\t4.560000\n1416214156\t4.560000\n1416214757\t4.560000\n1416215358\t4.560000\n1416215958\t4.500000\n1416216574\t4.500000\n1416217174\t4.440000\n1416217775\t4.380000\n1416218375\t4.380000\n1416218976\t4.380000\n1416219576\t4.380000\n1416220177\t4.310000\n1416220777\t4.310000\n1416221378\t4.250000\n1416221978\t4.190000\n1416222579\t4.190000\n1416223179\t4.250000\n1416223780\t4.250000\n1416224381\t4.190000\n1416224981\t4.190000\n1416225582\t4.190000\n1416226182\t4.190000\n1416226783\t4.190000\n1416227383\t4.190000\n1416227984\t4.190000\n1416228584\t4.190000\n1416229185\t4.190000\n1416229785\t4.190000\n1416230386\t4.190000\n1416230986\t4.250000\n1416231587\t4.190000\n1416232188\t4.250000\n1416232788\t4.250000\n1416233389\t4.310000\n1416233989\t4.310000\n1416234590\t4.310000\n1416235205\t4.250000\n1416235806\t4.310000\n1416236406\t4.250000\n1416237007\t4.250000\n1416237607\t4.250000\n1416238208\t4.250000\n1416238808\t4.250000\n1416239409\t4.250000\n1416240009\t4.250000\n1416240610\t4.250000\n1416241211\t4.250000\n1416241811\t4.310000\n1416242412\t4.310000\n1416243012\t4.380000\n1416243613\t4.380000\n1416244213\t4.440000\n1416244814\t4.500000\n1416245414\t4.560000\n1416246015\t4.620000\n1416246615\t4.690000\n1416247216\t4.690000\n1416247817\t4.750000\n1416248417\t4.750000\n1416249018\t4.750000\n1416249618\t4.810000\n1416250219\t4.810000\n1416250819\t4.880000\n1416251420\t4.940000\n1416252020\t4.940000\n1416252621\t5.000000\n1416253221\t4.940000\n1416253837\t4.940000\n1416254437\t5.000000\n1416255038\t5.000000\n1416255638\t5.060000\n1416256239\t5.060000\n1416256839\t5.120000\n1416257440\t5.060000\n1416258041\t5.120000\n1416258641\t5.120000\n1416259242\t5.120000\n1416259842\t5.120000\n1416260443\t5.190000\n1416261043\t5.190000\n1416261644\t5.190000\n1416262244\t5.250000\n1416262845\t5.190000\n1416263445\t5.190000\n1416264046\t5.250000\n1416264646\t5.250000\n1416265247\t5.310000\n1416265847\t5.310000\n1416266448\t5.310000\n1416267048\t5.250000\n1416267649\t5.310000\n1416268250\t5.250000\n1416268850\t5.250000\n1416269451\t5.250000\n1416270051\t5.250000\n1416270667\t5.250000\n1416271267\t5.250000\n1416271868\t5.310000\n1416272468\t5.310000\n1416273069\t5.310000\n1416273669\t5.310000\n1416274270\t5.310000\n1416274870\t5.310000\n1416275471\t5.380000\n1416276072\t5.380000\n1416276672\t5.310000\n1416277273\t5.310000\n1416277873\t5.310000\n1416278474\t5.310000\n1416279074\t5.310000\n1416279675\t5.310000\n1416280275\t5.310000\n1416280876\t5.250000\n1416281476\t5.250000\n1416282077\t5.310000\n1416282678\t5.310000\n1416283278\t5.310000\n1416283879\t5.310000\n1416284479\t5.250000\n1416285080\t5.310000\n1416285680\t5.250000\n1416286281\t5.250000\n1416286881\t5.250000\n1416287482\t5.250000\n1416288082\t5.250000\n1416288698\t5.250000\n1416289298\t5.250000\n1416289899\t5.190000\n1416290499\t5.190000\n1416291100\t5.190000\n1416291700\t5.190000\n1416292301\t5.190000\n1416292901\t5.190000\n1416293502\t5.190000\n1416294103\t5.190000\n1416294703\t5.190000\n1416295304\t5.190000\n1416295904\t5.190000\n1416296505\t5.190000\n1416297105\t5.190000\n1416297706\t5.190000\n1416298306\t5.190000\n1416298907\t5.190000\n1416299507\t5.190000\n1416300108\t5.250000\n1416300709\t5.190000\n1416301309\t5.190000\n1416301910\t5.120000\n1416302510\t5.120000\n1416303111\t5.120000\n1416303711\t5.060000\n1416304312\t5.060000\n1416304912\t5.000000\n1416305513\t5.000000\n1416306113\t5.000000\n1416306714\t5.000000\n1416307314\t5.000000\n1416307915\t5.000000\n1416308531\t5.000000\n1416309131\t5.000000\n1416309732\t4.940000\n1416310332\t4.940000\n1416310933\t4.940000\n1416311533\t4.940000\n1416312134\t4.940000\n1416312734\t5.000000\n1416313335\t5.060000\n1416313936\t5.120000\n1416314536\t5.060000\n1416315137\t5.060000\n1416315737\t5.060000\n1416316338\t5.060000\n1416316938\t5.000000\n1416317539\t4.940000\n1416318139\t4.940000\n1416318740\t4.810000\n1416319340\t4.810000\n1416319941\t4.750000\n1416320541\t4.690000\n1416321142\t4.690000\n1416321742\t4.690000\n1416322343\t4.690000\n1416322944\t4.690000\n1416323544\t4.690000\n1416324145\t4.620000\n1416324745\t4.620000\n1416325361\t4.620000\n1416325961\t4.620000\n1416326562\t4.620000\n1416327162\t4.620000\n1416327763\t4.620000\n1416328363\t4.620000\n1416328964\t4.620000\n1416329564\t4.620000\n1416330165\t4.560000\n1416330766\t4.560000\n1416331366\t4.440000\n1416331967\t4.500000\n1416332567\t4.500000\n1416333168\t4.440000\n1416333768\t4.440000\n1416334369\t4.440000\n1416334969\t4.440000\n1416335570\t4.440000\n1416336170\t4.440000\n1416336771\t4.440000\n1416337371\t4.380000\n1416337972\t4.380000\n1416338573\t4.380000\n1416339173\t4.380000\n1416339774\t4.380000\n1416340389\t4.380000\n1416340990\t4.380000\n1416341590\t4.380000\n1416342191\t4.440000\n1416342791\t4.380000\n1416343392\t4.440000\n1416343992\t4.440000\n1416344593\t4.500000\n1416345194\t4.440000\n1416345794\t4.440000\n1416346395\t4.380000\n1416346995\t4.380000\n1416347596\t4.440000\n1416348196\t4.380000\n1416348797\t4.380000\n1416349397\t4.380000\n1416349998\t4.310000\n1416350598\t4.250000\n1416351199\t4.250000\n1416351799\t4.250000\n1416352400\t4.310000\n1416353000\t4.380000\n1416353601\t4.380000\n1416354202\t4.380000\n1416354802\t4.440000\n1416355403\t4.380000\n1416356003\t4.380000\n1416356604\t4.440000\n1416357204\t4.440000\n1416357805\t4.440000\n1416358405\t4.380000\n1416359021\t4.380000\n1416359621\t4.380000\n1416360222\t4.380000\n1416360822\t4.380000\n1416361423\t4.380000\n1416362023\t4.380000\n1416362624\t4.380000\n1416363224\t4.380000\n1416363825\t4.440000\n1416364426\t4.380000\n1416365026\t4.380000\n1416365627\t4.380000\n1416366227\t4.440000\n1416366828\t4.440000\n1416367428\t4.440000\n1416368029\t4.440000\n1416368629\t4.380000\n1416369230\t4.310000\n1416369830\t4.310000\n1416370431\t4.310000\n1416371031\t4.250000\n1416371632\t4.250000\n1416372233\t4.190000\n1416372833\t4.250000\n1416373434\t4.190000\n1416374034\t4.190000\n1416374635\t4.190000\n1416375250\t4.120000\n1416375851\t4.060000\n1416376451\t4.000000\n1416377052\t3.940000\n1416377652\t3.940000\n1416378253\t3.880000\n1416378854\t3.880000\n1416379454\t3.810000\n1416380055\t3.810000\n1416380655\t3.810000\n1416381256\t3.750000\n1416381856\t3.750000\n1416382457\t3.690000\n1416383057\t3.690000\n1416383658\t3.750000\n1416384258\t3.750000\n1416384859\t3.750000\n1416385459\t3.750000\n1416386060\t3.810000\n1416386660\t3.880000\n1416387261\t3.940000\n1416387862\t4.060000\n1416388462\t4.120000\n1416389063\t4.120000\n1416389663\t4.120000\n1416390264\t4.120000\n1416390864\t4.120000\n1416391465\t4.120000\n1416392065\t4.120000\n1416392666\t4.190000\n1416393266\t4.120000\n1416393867\t4.120000\n1416394482\t4.060000\n1416395083\t4.060000\n1416395684\t4.060000\n1416396284\t4.120000\n1416396885\t4.060000\n1416397485\t4.060000\n1416398086\t4.120000\n1416398686\t4.000000\n1416399287\t4.060000\n1416399887\t4.250000\n1416400488\t4.060000\n1416401088\t4.060000\n1416401689\t3.940000\n1416402289\t3.810000\n1416402890\t3.750000\n1416403491\t3.750000\n1416404091\t3.750000\n1416404692\t3.620000\n1416405292\t3.560000\n1416405893\t3.560000\n1416406493\t3.440000\n1416407094\t3.310000\n1416407694\t3.250000\n1416408295\t3.310000\n1416408895\t3.250000\n1416409496\t3.060000\n1416410097\t3.120000\n1416410697\t3.190000\n1416411298\t3.190000\n1416411898\t3.190000\n1416412499\t3.120000\n1416413099\t3.120000\n1416413715\t3.120000\n1416414315\t3.190000\n1416414916\t3.120000\n1416415516\t3.060000\n1416416117\t3.000000\n1416416717\t3.000000\n1416417318\t3.000000\n1416417918\t3.000000\n1416418519\t3.060000\n1416419119\t3.060000\n1416419720\t3.060000\n1416420321\t3.060000\n1416420921\t3.060000\n1416421522\t3.060000\n1416422122\t3.060000\n1416422723\t3.060000\n1416423323\t3.060000\n1416423924\t3.000000\n1416424524\t3.000000\n1416425125\t3.000000\n1416425725\t2.940000\n1416426326\t2.940000\n1416426927\t2.940000\n1416427527\t2.880000\n1416428128\t2.880000\n1416428728\t2.880000\n1416429329\t2.880000\n1416429929\t2.880000\n1416430530\t2.880000\n1416431130\t2.880000\n1416431731\t2.880000\n1416432346\t2.880000\n1416432947\t2.880000\n1416433548\t2.880000\n1416434148\t2.880000\n1416434749\t2.880000\n1416435349\t2.880000\n1416435950\t2.880000\n1416436550\t2.880000\n1416437151\t2.880000\n1416437751\t2.880000\n1416438352\t2.880000\n1416438952\t2.880000\n1416439553\t2.940000\n1416440153\t2.940000\n1416440754\t2.940000\n1416441354\t2.940000\n1416441955\t2.940000\n1416442555\t2.940000\n1416443156\t2.940000\n1416443757\t2.940000\n1416444357\t2.940000\n1416444958\t2.940000\n1416445558\t2.940000\n1416446159\t2.940000\n1416446759\t2.940000\n1416447360\t2.940000\n1416447960\t2.940000\n1416448561\t2.880000\n1416449161\t2.880000\n1416449762\t2.940000\n1416450363\t2.940000\n1416450978\t2.880000\n1416451579\t2.880000\n1416452179\t2.940000\n1416452780\t2.940000\n1416453380\t2.880000\n1416453981\t3.000000\n1416454581\t2.940000\n1416455182\t2.940000\n1416455782\t2.940000\n1416456383\t2.940000\n1416456983\t2.940000\n1416457584\t2.940000\n1416458185\t2.940000\n1416458785\t2.940000\n1416459386\t3.000000\n1416459986\t2.940000\n1416460587\t3.000000\n1416461187\t3.000000\n1416461788\t3.000000\n1416462388\t3.000000\n1416462989\t3.000000\n1416463589\t3.060000\n1416464190\t3.000000\n1416464790\t3.060000\n1416465391\t3.060000\n1416465992\t3.120000\n1416466592\t3.120000\n1416467193\t3.120000\n1416467793\t3.190000\n1416468394\t3.190000\n1416469009\t3.250000\n1416469610\t3.250000\n1416470210\t3.310000\n1416470811\t3.310000\n1416471411\t3.310000\n1416472012\t3.310000\n1416472613\t3.310000\n1416473213\t3.380000\n1416473814\t3.380000\n1416474414\t3.310000\n1416475015\t3.380000\n1416475615\t3.380000\n1416476216\t3.380000\n1416476816\t3.440000\n1416477417\t3.500000\n1416478017\t3.500000\n1416478618\t3.500000\n1416479219\t3.500000\n1416479819\t3.560000\n1416480420\t3.500000\n1416481020\t3.560000\n1416481621\t3.620000\n1416482221\t3.690000\n1416482822\t3.620000\n1416483422\t3.690000\n1416484023\t3.690000\n1416484623\t3.620000\n1416485224\t3.690000\n1416485824\t3.620000\n1416486425\t3.620000\n1416487025\t3.560000\n1416487626\t3.500000\n1416488242\t3.560000\n1416488842\t3.560000\n1416489443\t3.560000\n1416490043\t3.560000\n1416490644\t3.560000\n1416491244\t3.560000\n1416491845\t3.560000\n1416492445\t3.560000\n1416493046\t3.560000\n1416493646\t3.560000\n1416494247\t3.500000\n1416494847\t3.500000\n1416495448\t3.560000\n1416496049\t3.500000\n1416496649\t3.560000\n1416497250\t3.500000\n1416497850\t3.500000\n1416498451\t3.500000\n1416499051\t3.560000\n1416499652\t3.560000\n1416500252\t3.620000\n1416500853\t3.620000\n1416501453\t3.620000\n1416502054\t3.620000\n1416502654\t3.690000\n1416503255\t3.690000\n1416503855\t3.690000\n1416504456\t3.750000\n1416505056\t3.750000\n1416505657\t3.750000\n1416506273\t3.750000\n1416506873\t3.750000\n1416507474\t3.810000\n1416508074\t3.810000\n1416508675\t3.880000\n1416509275\t3.880000\n1416509876\t3.940000\n1416510476\t3.940000\n1416511077\t3.940000\n1416511678\t4.000000\n1416512278\t4.000000\n1416512879\t4.000000\n1416513479\t4.060000\n1416514080\t4.060000\n1416514680\t4.060000\n1416515281\t4.060000\n1416515881\t4.060000\n1416516482\t4.060000\n1416517082\t4.120000\n1416517683\t4.120000\n1416518283\t4.120000\n1416518884\t4.060000\n1416519485\t4.120000\n1416520085\t4.120000\n1416520686\t4.120000\n1416521286\t4.120000\n1416521887\t4.190000\n1416522487\t4.190000\n1416523088\t4.190000\n1416523688\t4.190000\n1416524289\t4.190000\n1416524890\t4.250000\n1416525490\t4.250000\n1416526106\t4.250000\n1416526706\t4.250000\n1416527307\t4.250000\n1416527907\t4.250000\n1416528508\t4.250000\n1416529108\t4.250000\n1416529709\t4.250000\n1416530309\t4.250000\n1416530910\t4.250000\n1416531510\t4.250000\n1416532111\t4.250000\n1416532711\t4.250000\n1416533312\t4.310000\n1416533913\t4.310000\n1416534513\t4.310000\n1416535114\t4.250000\n1416535714\t4.250000\n1416536315\t4.310000\n1416536915\t4.310000\n1416537516\t4.250000\n1416538116\t4.310000\n1416538717\t4.310000\n1416539317\t4.310000\n1416539918\t4.310000\n1416540518\t4.310000\n1416541119\t4.310000\n1416541720\t4.250000\n1416542320\t4.310000\n1416542921\t4.310000\n1416543521\t4.250000\n1416544122\t4.310000\n1416544722\t4.310000\n1416545323\t4.250000\n1416545923\t4.250000\n1416546524\t4.250000\n1416547124\t4.250000\n1416547740\t4.250000\n1416548340\t4.250000\n1416548941\t4.250000\n1416549542\t4.250000\n1416550142\t4.250000\n1416550743\t4.250000\n1416551343\t4.250000\n1416551944\t4.250000\n1416552544\t4.190000\n1416553145\t4.250000\n1416553745\t4.250000\n1416554346\t4.250000\n1416554946\t4.310000\n1416555547\t4.250000\n1416556148\t4.250000\n1416556748\t4.250000\n1416557349\t4.250000\n1416557949\t4.310000\n1416558550\t4.380000\n1416559150\t4.380000\n1416559751\t4.440000\n1416560351\t4.380000\n1416560952\t4.440000\n1416561553\t4.440000\n1416562153\t4.380000\n1416562754\t4.440000\n1416563354\t4.380000\n1416563955\t4.380000\n1416564555\t4.380000\n1416565156\t4.380000\n1416565756\t4.440000\n1416566357\t4.380000\n1416566972\t4.380000\n1416567573\t4.380000\n1416568173\t4.380000\n1416568774\t4.380000\n1416569375\t4.440000\n1416569975\t4.310000\n1416570576\t4.250000\n1416571176\t4.310000\n1416571777\t4.310000\n1416572377\t4.310000\n1416572978\t4.310000\n1416573578\t4.440000\n1416574179\t4.310000\n1416574779\t4.310000\n1416575380\t4.250000\n1416575981\t4.190000\n1416576581\t4.120000\n1416577182\t4.120000\n1416577782\t4.120000\n1416578383\t4.000000\n1416578983\t4.000000\n1416579584\t4.000000\n1416580184\t3.940000\n1416580785\t3.940000\n1416581385\t4.000000\n1416581986\t3.880000\n1416582587\t3.880000\n1416583187\t3.940000\n1416583788\t3.940000\n1416584388\t3.880000\n1416584989\t3.940000\n1416585589\t3.880000\n1416586205\t3.880000\n1416586805\t3.880000\n1416587406\t3.880000\n1416588006\t3.750000\n1416588607\t3.690000\n1416589207\t3.690000\n1416589808\t3.620000\n1416590409\t3.560000\n1416591009\t3.500000\n1416591610\t3.500000\n1416592210\t3.500000\n1416592811\t3.500000\n1416593411\t3.560000\n1416594012\t3.500000\n1416594612\t3.500000\n1416595213\t3.560000\n1416595813\t3.500000\n1416596414\t3.500000\n1416597014\t3.440000\n1416597615\t3.310000\n1416598215\t3.250000\n1416598816\t3.190000\n1416599416\t3.190000\n1416600017\t3.190000\n1416600617\t3.190000\n1416601218\t3.120000\n1416601819\t3.190000\n1416602419\t3.250000\n1416603020\t3.190000\n1416603620\t3.120000\n1416604221\t3.120000\n1416604836\t3.000000\n1416605437\t3.000000\n1416606037\t2.940000\n1416606638\t3.000000\n1416607238\t3.000000\n1416607839\t3.000000\n1416608439\t3.000000\n1416609040\t2.880000\n1416609641\t2.750000\n1416610241\t2.750000\n1416610842\t2.620000\n1416611442\t2.810000\n1416612043\t2.810000\n1416612643\t2.690000\n1416613244\t2.880000\n1416613844\t2.940000\n1416614445\t2.940000\n1416615045\t3.000000\n1416615646\t3.000000\n1416616246\t2.810000\n1416616847\t2.560000\n1416617448\t2.690000\n1416618048\t2.810000\n1416618649\t2.750000\n1416619249\t2.690000\n1416619850\t2.750000\n1416620450\t2.750000\n1416621051\t2.750000\n1416621651\t2.750000\n1416622252\t2.750000\n1416622852\t2.750000\n1416623468\t2.750000\n1416624068\t2.810000\n1416624669\t2.880000\n1416625269\t2.880000\n1416625870\t2.810000\n1416626470\t2.810000\n1416627071\t2.750000\n1416627672\t2.810000\n1416628272\t2.810000\n1416628873\t2.750000\n1416629473\t2.750000\n1416630074\t2.810000\n1416630674\t2.750000\n1416631275\t2.810000\n1416631875\t2.810000\n1416632476\t2.750000\n1416633076\t2.810000\n1416633677\t2.810000\n1416634278\t2.750000\n1416634878\t2.810000\n1416635479\t2.880000\n1416636079\t2.880000\n1416636680\t2.810000\n1416637280\t2.940000\n1416637881\t2.940000\n1416638481\t2.880000\n1416639082\t2.940000\n1416639682\t3.000000\n1416640283\t3.000000\n1416640884\t3.000000\n1416641499\t3.060000\n1416642100\t3.060000\n1416642700\t3.120000\n1416643301\t3.190000\n1416643901\t3.250000\n1416644502\t3.310000\n1416645102\t3.310000\n1416645703\t3.310000\n1416646303\t3.380000\n1416646904\t3.380000\n1416647505\t3.440000\n1416648105\t3.440000\n1416648706\t3.560000\n1416649306\t3.690000\n1416649907\t3.690000\n1416650507\t3.690000\n1416651108\t3.690000\n1416651708\t3.750000\n1416652309\t3.880000\n1416652909\t3.750000\n1416653510\t3.880000\n1416654110\t3.750000\n1416654711\t3.880000\n1416655311\t3.940000\n1416655912\t3.940000\n1416656513\t3.940000\n1416657113\t3.880000\n1416657714\t3.810000\n1416658314\t3.810000\n1416658915\t3.750000\n1416659515\t3.690000\n1416660116\t3.690000\n1416660731\t3.690000\n1416661332\t4.120000\n1416661932\t3.880000\n1416662533\t3.810000\n1416663133\t3.750000\n1416663734\t3.690000\n1416664334\t3.560000\n1416664935\t3.500000\n1416665536\t3.500000\n1416666136\t3.440000\n1416666737\t3.380000\n1416667337\t3.060000\n1416667938\t2.940000\n1416668538\t2.880000\n1416669139\t3.000000\n1416669739\t3.000000\n1416670340\t3.120000\n1416670940\t3.060000\n1416671541\t2.940000\n1416672141\t2.940000\n1416672742\t2.880000\n1416673343\t2.810000\n1416673943\t2.880000\n1416674544\t2.880000\n1416675144\t2.750000\n1416675745\t2.560000\n1416676345\t2.310000\n1416676946\t2.380000\n1416677546\t2.190000\n1416678147\t2.120000\n1416678762\t2.060000\n1416679363\t2.120000\n1416679963\t2.250000\n1416680564\t2.310000\n1416681165\t2.310000\n1416681765\t2.250000\n1416682366\t2.310000\n1416682966\t2.310000\n1416683567\t2.310000\n1416684167\t2.380000\n1416684768\t2.310000\n1416685368\t2.310000\n1416685969\t2.380000\n1416686569\t2.380000\n1416687170\t2.440000\n1416687771\t2.380000\n1416688371\t2.380000\n1416688972\t2.380000\n1416689572\t2.500000\n1416690173\t2.500000\n1416690773\t2.380000\n1416691374\t2.380000\n1416691974\t2.310000\n1416692575\t2.310000\n1416693175\t2.440000\n1416693776\t2.500000\n1416694376\t2.620000\n1416694977\t2.620000\n1416695577\t2.560000\n1416696178\t2.560000\n1416696778\t2.560000\n1416697394\t2.560000\n1416697995\t2.500000\n1416698595\t2.440000\n1416699196\t2.440000\n1416699796\t2.500000\n1416700397\t2.440000\n1416700997\t2.380000\n1416701598\t2.440000\n1416702198\t2.380000\n1416702799\t2.310000\n1416703399\t2.310000\n1416704000\t2.310000\n1416704600\t2.380000\n1416705201\t2.310000\n1416705801\t2.310000\n1416706402\t2.380000\n1416707003\t2.380000\n1416707603\t2.440000\n1416708204\t2.440000\n1416708804\t2.440000\n1416709405\t2.380000\n1416710005\t2.310000\n1416710606\t2.310000\n1416711206\t2.310000\n1416711807\t2.250000\n1416712407\t2.310000\n1416713023\t2.310000\n1416713623\t2.310000\n1416714224\t2.380000\n1416714825\t2.380000\n1416715425\t2.440000\n1416716026\t2.380000\n1416716626\t2.440000\n1416717227\t2.500000\n1416717827\t2.500000\n1416718428\t2.500000\n1416719028\t2.500000\n1416719629\t2.560000\n1416720229\t2.620000\n1416720830\t2.690000\n1416721430\t2.750000\n1416722031\t2.690000\n1416722632\t2.690000\n1416723232\t2.750000\n1416723833\t2.750000\n1416724433\t2.750000\n1416725034\t2.750000\n1416725634\t2.750000\n1416726235\t2.750000\n1416726835\t2.750000\n1416727436\t2.810000\n1416728036\t2.880000\n1416728637\t2.880000\n1416729237\t2.880000\n1416729838\t3.000000\n1416730453\t3.060000\n1416731054\t3.190000\n1416731655\t3.250000\n1416732255\t3.310000\n1416732856\t3.440000\n1416733456\t3.560000\n1416734057\t3.620000\n1416734657\t3.620000\n1416735258\t3.690000\n1416735858\t3.810000\n1416736459\t3.940000\n1416737059\t4.000000\n1416737660\t4.120000\n1416738260\t4.310000\n1416738861\t4.380000\n1416739461\t4.500000\n1416740062\t4.690000\n1416740663\t4.810000\n1416741263\t4.810000\n1416741864\t4.880000\n1416742464\t5.000000\n1416743065\t5.060000\n1416743665\t5.120000\n1416744266\t5.250000\n1416744866\t5.380000\n1416745467\t5.380000\n1416746067\t5.620000\n1416746668\t5.440000\n1416747269\t5.250000\n1416747869\t5.120000\n1416748470\t5.000000\n1416749085\t5.060000\n1416749686\t4.880000\n1416750286\t4.690000\n1416750887\t4.500000\n1416751487\t4.500000\n1416752088\t4.690000\n1416752688\t4.750000\n1416753289\t4.750000\n1416753889\t4.750000\n1416754490\t4.880000\n1416755090\t4.940000\n1416755691\t4.940000\n1416756292\t4.940000\n1416756892\t5.060000\n1416757493\t5.000000\n1416758093\t5.000000\n1416758694\t4.940000\n1416759294\t5.060000\n1416759895\t5.190000\n1416760495\t5.380000\n1416761096\t5.440000\n1416761696\t5.380000\n1416762297\t5.500000\n1416762898\t5.620000\n1416763498\t5.560000\n1416764099\t5.620000\n1416764699\t5.690000\n1416765300\t5.810000\n1416765900\t5.690000\n1416766501\t5.750000\n1416767101\t5.810000\n1416767717\t5.750000\n1416768317\t5.880000\n1416768918\t5.940000\n1416769519\t6.000000\n1416770119\t6.120000\n1416770720\t6.060000\n1416771320\t6.120000\n1416771921\t6.000000\n1416772521\t5.940000\n1416773122\t5.940000\n1416773722\t6.000000\n1416774323\t5.880000\n1416774923\t6.000000\n1416775524\t6.060000\n1416776124\t5.940000\n1416776725\t6.000000\n1416777325\t5.940000\n1416777926\t6.000000\n1416778526\t6.000000\n1416779127\t5.940000\n1416779727\t6.000000\n1416780328\t6.060000\n1416780928\t6.120000\n1416781529\t6.060000\n1416782130\t6.120000\n1416782730\t6.120000\n1416783331\t6.190000\n1416783931\t6.190000\n1416784547\t6.250000\n1416785147\t6.250000\n1416785748\t6.120000\n1416786348\t6.120000\n1416786949\t6.120000\n1416787549\t6.060000\n1416788150\t5.940000\n1416788750\t5.940000\n1416789351\t5.880000\n1416789951\t5.940000\n1416790552\t5.880000\n1416791152\t5.880000\n1416791753\t5.880000\n1416792353\t5.940000\n1416792954\t5.940000\n1416793555\t6.000000\n1416794155\t6.000000\n1416794756\t6.000000\n1416795356\t6.000000\n1416795957\t6.060000\n1416796557\t6.060000\n1416797158\t6.060000\n1416797758\t6.060000\n1416798359\t6.060000\n1416798959\t6.190000\n1416799560\t6.190000\n1416800160\t6.190000\n1416800761\t6.120000\n1416801362\t6.250000\n1416801962\t6.250000\n1416802578\t6.310000\n1416803178\t6.310000\n1416803779\t6.380000\n1416804379\t6.440000\n1416804980\t6.380000\n1416805580\t6.380000\n1416806181\t6.380000\n1416806781\t6.440000\n1416807382\t6.440000\n1416807982\t6.440000\n1416808583\t6.380000\n1416809183\t6.310000\n1416809784\t6.190000\n1416810385\t6.120000\n1416810985\t6.060000\n1416811586\t6.060000\n1416812186\t6.060000\n1416812787\t5.940000\n1416813387\t6.000000\n1416813988\t5.940000\n1416814588\t5.940000\n1416815189\t5.940000\n1416815789\t6.000000\n1416816390\t5.940000\n1416816990\t5.880000\n1416817591\t5.940000\n1416818192\t5.940000\n1416818792\t5.880000\n1416819393\t5.880000\n1416820008\t5.940000\n1416820609\t5.880000\n1416821209\t5.880000\n1416821810\t5.880000\n1416822410\t5.880000\n1416823011\t5.810000\n1416823611\t5.810000\n1416824212\t5.810000\n1416824812\t5.810000\n1416825413\t5.750000\n1416826013\t5.690000\n1416826614\t5.690000\n1416827215\t5.690000\n1416827815\t5.560000\n1416828416\t5.560000\n1416829016\t5.620000\n1416829617\t5.620000\n1416830217\t5.690000\n1416830818\t5.750000\n1416831418\t5.810000\n1416832019\t5.810000\n1416832620\t5.810000\n1416833220\t5.750000\n1416833821\t5.750000\n1416834421\t5.750000\n1416835022\t5.750000\n1416835622\t5.750000\n1416836223\t5.750000\n1416836823\t5.750000\n1416837424\t5.750000\n1416838024\t5.810000\n1416838640\t5.810000\n1416839240\t5.880000\n1416839841\t5.940000\n1416840442\t5.940000\n1416841042\t5.940000\n1416841643\t5.940000\n1416842243\t6.000000\n1416842844\t6.000000\n1416843444\t6.060000\n1416844045\t6.120000\n1416844645\t6.120000\n1416845246\t6.120000\n1416845846\t6.120000\n1416846447\t6.190000\n1416847047\t6.250000\n1416847648\t6.310000\n1416848248\t6.380000\n1416848849\t6.380000\n1416849450\t6.440000\n1416850050\t6.440000\n1416850651\t6.380000\n1416851251\t6.250000\n1416851852\t6.120000\n1416852452\t6.000000\n1416853053\t6.000000\n1416853653\t5.940000\n1416854254\t5.810000\n1416854854\t5.750000\n1416855455\t5.690000\n1416856056\t5.620000\n1416856656\t5.560000\n1416857272\t5.560000\n1416857872\t5.620000\n1416858473\t5.620000\n1416859073\t5.690000\n1416859674\t5.690000\n1416860274\t5.620000\n1416860875\t5.690000\n1416861475\t5.880000\n1416862076\t5.880000\n1416862676\t5.940000\n1416863277\t5.940000\n1416863877\t5.940000\n1416864478\t5.880000\n1416865079\t5.810000\n1416865679\t5.750000\n1416866280\t5.690000\n1416866880\t5.690000\n1416867481\t5.620000\n1416868081\t5.750000\n1416868682\t5.810000\n1416869282\t5.810000\n1416869883\t5.880000\n1416870483\t5.880000\n1416871084\t5.940000\n1416871684\t5.940000\n1416872285\t5.880000\n1416872885\t5.810000\n1416873486\t5.750000\n1416874087\t5.690000\n1416874702\t5.620000\n1416875303\t5.560000\n1416875903\t5.500000\n1416876504\t5.500000\n1416877104\t5.440000\n1416877705\t5.380000\n1416878305\t5.310000\n1416878906\t5.250000\n1416879507\t5.250000\n1416880107\t5.190000\n1416880708\t5.190000\n1416881308\t5.120000\n1416881909\t5.190000\n1416882509\t5.120000\n1416883110\t5.120000\n1416883710\t5.060000\n1416884311\t5.000000\n1416884911\t4.940000\n1416885512\t4.940000\n1416886112\t4.880000\n1416886713\t4.750000\n1416887313\t4.440000\n1416887914\t4.120000\n1416888514\t3.880000\n1416889115\t3.500000\n1416889716\t3.250000\n1416890316\t3.250000\n1416890917\t3.120000\n1416891517\t3.000000\n1416892118\t2.750000\n1416892718\t2.690000\n1416893334\t2.560000\n1416893934\t2.380000\n1416894535\t2.190000\n1416895135\t2.120000\n1416895736\t2.060000\n1416896336\t2.060000\n1416896937\t2.060000\n1416897537\t1.940000\n1416898138\t2.000000\n1416898739\t2.000000\n1416899339\t1.940000\n1416899939\t2.000000\n1416900540\t2.000000\n1416901141\t1.940000\n1416901741\t1.940000\n1416902342\t1.880000\n1416902942\t2.000000\n1416903543\t2.120000\n1416904143\t2.190000\n1416904744\t2.250000\n1416905344\t2.380000\n1416905945\t2.560000\n1416906545\t2.810000\n1416907146\t3.000000\n1416907747\t3.190000\n1416908347\t3.380000\n1416908948\t3.500000\n1416909548\t3.620000\n1416910149\t3.810000\n1416910749\t4.000000\n1416911350\t4.190000\n1416911950\t4.440000\n1416912551\t4.620000\n1416913166\t4.810000\n1416913767\t4.940000\n1416914368\t5.000000\n1416914968\t5.060000\n1416915569\t5.190000\n1416916169\t5.310000\n1416916770\t5.440000\n1416917370\t5.500000\n1416917971\t5.620000\n1416918571\t5.620000\n1416919172\t5.690000\n1416919773\t5.620000\n1416920373\t5.620000\n1416920974\t5.560000\n1416921574\t5.500000\n1416922175\t5.440000\n1416922775\t5.310000\n1416923376\t5.120000\n1416923976\t4.940000\n1416924577\t4.690000\n1416925177\t4.500000\n1416925778\t4.500000\n1416926378\t4.440000\n1416926979\t4.250000\n1416927579\t4.190000\n1416928180\t4.000000\n1416928781\t3.940000\n1416929381\t3.940000\n1416929982\t3.810000\n1416930582\t3.690000\n1416931183\t3.500000\n1416931783\t3.380000\n1416932384\t3.190000\n1416932984\t3.190000\n1416933585\t3.380000\n1416934186\t3.380000\n1416934801\t3.380000\n1416935402\t3.380000\n1416936002\t3.120000\n1416936603\t3.060000\n1416937203\t2.940000\n1416937804\t2.750000\n1416938404\t2.560000\n1416939005\t2.500000\n1416939605\t2.560000\n1416940206\t2.250000\n1416940807\t2.250000\n1416941407\t2.250000\n1416942008\t2.190000\n1416942608\t2.060000\n1416943209\t2.120000\n1416943809\t1.880000\n1416944410\t1.940000\n1416945010\t1.940000\n1416945611\t1.940000\n1416946211\t1.500000\n1416946812\t1.380000\n1416947412\t1.560000\n1416948013\t1.690000\n1416948613\t1.620000\n1416949214\t1.380000\n1416949814\t1.250000\n1416950415\t1.250000\n1416951016\t1.440000\n1416951616\t1.380000\n1416952217\t1.190000\n1416952817\t0.750000\n1416953418\t0.750000\n1416954033\t0.500000\n1416954634\t0.500000\n1416955234\t0.500000\n1416955835\t0.690000\n1416956435\t0.690000\n1416957036\t0.440000\n1416957637\t0.190000\n1416958237\t0.310000\n1416958838\t0.440000\n1416959438\t0.310000\n1416960039\t0.250000\n1416960639\t0.190000\n1416961240\t0.250000\n1416961840\t0.380000\n1416962441\t0.250000\n1416963041\t0.380000\n1416963642\t0.620000\n1416964242\t0.750000\n1416964843\t0.940000\n1416965443\t1.000000\n1416966044\t0.690000\n1416966645\t0.810000\n1416967245\t0.940000\n1416967846\t1.060000\n1416968446\t1.060000\n1416969047\t1.060000\n1416969647\t1.060000\n1416970248\t1.060000\n1416970848\t1.060000\n1416971449\t1.000000\n1416972050\t1.060000\n1416972650\t1.000000\n1416973266\t1.190000\n1416973866\t1.310000\n1416974467\t1.310000\n1416975067\t1.380000\n1416975668\t1.440000\n1416976268\t1.440000\n1416976869\t1.440000\n1416977469\t1.380000\n1416978070\t1.190000\n1416978670\t0.810000\n1416979271\t0.440000\n1416979872\t0.440000\n1416980472\t0.500000\n1416981073\t0.500000\n1416981673\t0.310000\n1416982274\t0.310000\n1416982874\t0.310000\n1416983475\t0.380000\n1416984075\t0.380000\n1416984676\t-0.120000\n1416985277\t0.120000\n1416985877\t0.190000\n1416986478\t0.120000\n1416987078\t0.190000\n1416987679\t0.060000\n1416988279\t-0.190000\n1416988880\t-0.190000\n1416989480\t-0.120000\n1416990081\t-0.190000\n1416990681\t-0.120000\n1416991282\t-0.120000\n1416991897\t-0.060000\n1416992498\t-0.250000\n1416993098\t-0.310000\n1416993699\t-0.500000\n1416994300\t-0.060000\n1416994900\t0.310000\n1416995501\t0.560000\n1416996101\t0.690000\n1416996702\t0.500000\n1416997302\t0.310000\n1416997903\t0.380000\n1416998503\t0.440000\n1416999104\t0.560000\n1416999704\t0.880000\n1417000305\t0.940000\n1417000905\t1.000000\n1417001506\t0.940000\n1417002107\t0.940000\n1417002707\t0.880000\n1417003308\t1.060000\n1417003908\t1.000000\n1417004509\t0.940000\n1417005109\t1.060000\n1417005710\t1.060000\n1417006310\t1.060000\n1417006911\t1.060000\n1417007511\t1.120000\n1417008112\t1.120000\n1417008712\t1.120000\n1417009313\t1.060000\n1417009928\t1.120000\n1417010529\t1.120000\n1417011129\t1.190000\n1417011730\t1.190000\n1417012330\t1.190000\n1417012931\t1.190000\n1417013532\t1.190000\n1417014132\t1.250000\n1417014733\t1.310000\n1417015333\t1.310000\n1417015934\t1.310000\n1417016534\t1.310000\n1417017135\t1.380000\n1417017735\t1.440000\n1417018336\t1.380000\n1417018936\t1.380000\n1417019537\t1.440000\n1417020137\t1.500000\n1417020738\t1.440000\n1417021339\t1.440000\n1417021939\t1.440000\n1417022540\t1.440000\n1417023140\t1.440000\n1417023741\t1.500000\n1417024341\t1.500000\n1417024942\t1.560000\n1417025542\t1.560000\n1417026143\t1.560000\n1417026743\t1.620000\n1417027344\t1.620000\n1417027944\t1.620000\n1417028545\t1.690000\n1417029161\t1.690000\n1417029761\t1.690000\n1417030362\t1.690000\n1417030962\t1.750000\n1417031563\t1.750000\n1417032163\t1.690000\n1417032764\t1.690000\n1417033364\t1.690000\n1417033965\t1.690000\n1417034566\t1.620000\n1417035166\t1.620000\n1417035767\t1.620000\n1417036367\t1.620000\n1417036968\t1.620000\n1417037568\t1.690000\n1417038169\t1.690000\n1417038769\t1.690000\n1417039370\t1.620000\n1417039970\t1.690000\n1417040571\t1.690000\n1417041171\t1.620000\n1417041772\t1.560000\n1417042373\t1.560000\n1417042973\t1.500000\n1417043574\t1.500000\n1417044174\t1.560000\n1417044775\t1.560000\n1417045375\t1.500000\n1417045976\t1.440000\n1417046576\t1.500000\n1417047177\t1.440000\n1417047792\t1.440000\n1417048393\t1.380000\n1417048993\t1.380000\n1417049594\t1.440000\n1417050194\t1.380000\n1417050795\t1.250000\n1417051395\t1.250000\n1417051996\t1.190000\n1417052597\t1.190000\n1417053197\t1.250000\n1417053798\t1.250000\n1417054398\t1.310000\n1417054999\t1.310000\n1417055599\t1.310000\n1417056200\t1.310000\n1417056800\t1.310000\n1417057401\t1.310000\n1417058001\t1.310000\n1417058602\t1.250000\n1417059202\t1.190000\n1417059803\t1.250000\n1417060404\t1.250000\n1417061004\t1.250000\n1417061605\t1.120000\n1417062205\t1.190000\n1417062806\t1.120000\n1417063406\t1.000000\n1417064007\t1.000000\n1417064607\t1.000000\n1417065208\t0.940000\n1417065824\t0.940000\n1417066424\t0.940000\n1417067025\t0.810000\n1417067625\t0.940000\n1417068226\t1.060000\n1417068826\t0.880000\n1417069427\t0.880000\n1417070027\t1.000000\n1417070628\t0.810000\n1417071228\t0.940000\n1417071829\t1.060000\n1417072430\t1.120000\n1417073030\t1.000000\n1417073631\t1.060000\n1417074231\t1.060000\n1417074832\t1.000000\n1417075432\t1.000000\n1417076033\t1.000000\n1417076633\t1.060000\n1417077234\t1.060000\n1417077834\t1.190000\n1417078435\t1.190000\n1417079036\t1.120000\n1417079636\t1.190000\n1417080237\t1.310000\n1417080837\t1.310000\n1417081438\t1.310000\n1417082038\t1.380000\n1417082639\t1.440000\n1417083239\t1.380000\n1417083840\t1.500000\n1417084455\t1.690000\n1417085056\t1.690000\n1417085657\t1.690000\n1417086257\t1.620000\n1417086858\t1.620000\n1417087458\t1.750000\n1417088059\t1.810000\n1417088659\t1.940000\n1417089260\t1.880000\n1417089860\t2.000000\n1417090461\t2.000000\n1417091061\t1.940000\n1417091662\t1.940000\n1417092262\t2.000000\n1417092863\t2.000000\n1417093463\t2.000000\n1417094064\t1.940000\n1417094664\t1.940000\n1417095265\t1.880000\n1417095866\t1.810000\n1417096466\t1.810000\n1417097067\t1.810000\n1417097667\t1.750000\n1417098268\t1.810000\n1417098868\t1.750000\n1417099469\t1.750000\n1417100069\t1.810000\n1417100670\t1.810000\n1417101270\t1.810000\n1417101871\t1.810000\n1417102472\t1.810000\n1417103087\t1.880000\n1417103688\t1.880000\n1417104288\t1.880000\n1417104889\t1.880000\n1417105489\t1.880000\n1417106090\t1.940000\n1417106690\t1.940000\n1417107291\t2.000000\n1417107891\t2.000000\n1417108492\t2.000000\n1417109093\t2.000000\n1417109693\t2.060000\n1417110294\t2.060000\n1417110894\t2.120000\n1417111495\t2.120000\n1417112095\t2.120000\n1417112696\t2.190000\n1417113296\t2.190000\n1417113897\t2.250000\n1417114497\t2.310000\n1417115098\t2.310000\n1417115698\t2.310000\n1417116299\t2.310000\n1417116900\t2.310000\n1417117500\t2.310000\n1417118101\t2.310000\n1417118701\t2.380000\n1417119302\t2.440000\n1417119902\t2.500000\n1417120518\t2.500000\n1417121118\t2.500000\n1417121719\t2.500000\n1417122319\t2.500000\n1417122920\t2.440000\n1417123521\t2.310000\n1417124121\t2.250000\n1417124722\t2.120000\n1417125322\t2.120000\n1417125923\t2.190000\n1417126523\t2.190000\n1417127124\t2.120000\n1417127724\t2.120000\n1417128325\t2.000000\n1417128925\t2.000000\n1417129526\t2.060000\n1417130126\t2.120000\n1417130727\t2.120000\n1417131327\t2.190000\n1417131928\t2.190000\n1417132529\t2.190000\n1417133129\t2.120000\n1417133730\t2.190000\n1417134330\t2.190000\n1417134931\t2.190000\n1417135531\t2.190000\n1417136132\t2.190000\n1417136732\t2.120000\n1417137333\t2.190000\n1417137948\t2.190000\n1417138549\t2.190000\n1417139149\t2.120000\n1417139750\t2.120000\n1417140351\t2.060000\n1417140951\t2.060000\n1417141552\t2.120000\n1417142152\t2.120000\n1417142753\t2.120000\n1417143353\t2.190000\n1417143954\t2.190000\n1417144554\t2.120000\n1417145155\t2.120000\n1417145755\t2.060000\n1417146356\t2.000000\n1417146957\t2.000000\n1417147557\t2.000000\n1417148158\t2.000000\n1417148758\t2.000000\n1417149359\t2.000000\n1417149959\t2.000000\n1417150560\t2.000000\n1417151160\t2.060000\n1417151761\t2.120000\n1417152361\t2.190000\n1417152962\t2.190000\n1417153563\t2.250000\n1417154163\t2.310000\n1417154764\t2.310000\n1417155364\t2.310000\n1417155965\t2.310000\n1417156565\t2.310000\n1417157181\t2.310000\n1417157781\t2.310000\n1417158382\t2.310000\n1417158982\t2.310000\n1417159583\t2.310000\n1417160184\t2.310000\n1417160784\t2.380000\n1417161385\t2.380000\n1417161985\t2.440000\n1417162586\t2.500000\n1417163186\t2.500000\n1417163787\t2.620000\n1417164387\t2.690000\n1417164988\t2.690000\n1417165588\t2.690000\n1417166189\t2.750000\n1417166789\t2.810000\n1417167390\t2.810000\n1417167991\t2.940000\n1417168591\t3.000000\n1417169192\t3.120000\n1417169792\t3.190000\n1417170393\t3.250000\n1417170993\t3.250000\n1417171594\t3.250000\n1417172194\t3.380000\n1417172795\t3.560000\n1417173395\t3.690000\n1417173996\t3.750000\n1417174596\t3.560000\n1417175212\t3.440000\n1417175813\t3.440000\n1417176413\t3.380000\n1417177014\t3.380000\n1417177614\t3.380000\n1417178215\t3.310000\n1417178815\t3.250000\n1417179416\t3.120000\n1417180016\t3.120000\n1417180617\t3.060000\n1417181218\t3.000000\n1417181818\t2.810000\n1417182419\t2.620000\n1417183019\t2.500000\n1417183620\t2.500000\n1417184220\t2.440000\n1417184821\t2.250000\n1417185421\t2.120000\n1417186022\t2.000000\n1417186622\t1.880000\n1417187223\t1.810000\n1417187823\t1.620000\n1417188424\t1.380000\n1417189025\t1.190000\n1417189625\t1.250000\n1417190226\t1.310000\n1417190826\t1.500000\n1417191427\t1.440000\n1417192027\t1.500000\n1417192628\t1.560000\n1417193243\t1.620000\n1417193844\t1.560000\n1417194444\t1.440000\n1417195045\t1.440000\n1417195645\t1.440000\n1417196246\t1.500000\n1417196847\t1.500000\n1417197447\t1.500000\n1417198048\t1.560000\n1417198648\t1.560000\n1417199249\t1.560000\n1417199849\t1.560000\n1417200450\t1.560000\n1417201050\t1.560000\n1417201651\t1.620000\n1417202251\t1.560000\n1417202852\t1.560000\n1417203453\t1.560000\n1417204053\t1.560000\n1417204654\t1.560000\n1417205254\t1.620000\n1417205855\t1.560000\n1417206455\t1.560000\n1417207056\t1.560000\n1417207656\t1.560000\n1417208257\t1.620000\n1417208857\t1.690000\n1417209458\t1.690000\n1417210058\t1.620000\n1417210659\t1.620000\n1417211260\t1.560000\n1417211860\t1.560000\n1417212476\t1.620000\n1417213076\t1.620000\n1417213677\t1.620000\n1417214277\t1.620000\n1417214878\t1.620000\n1417215478\t1.620000\n1417216079\t1.620000\n1417216679\t1.690000\n1417217280\t1.620000\n1417217881\t1.560000\n1417218481\t1.620000\n1417219082\t1.620000\n1417219682\t1.620000\n1417220283\t1.620000\n1417220883\t1.620000\n1417221484\t1.560000\n1417222084\t1.500000\n1417222685\t1.500000\n1417223285\t1.500000\n1417223886\t1.440000\n1417224486\t1.440000\n1417225087\t1.440000\n1417225688\t1.440000\n1417226288\t1.500000\n1417226889\t1.500000\n1417227489\t1.500000\n1417228090\t1.440000\n1417228690\t1.500000\n1417229306\t1.500000\n1417229906\t1.440000\n1417230507\t1.440000\n1417231107\t1.500000\n1417231708\t1.440000\n1417232308\t1.440000\n1417232909\t1.440000\n1417233510\t1.500000\n1417234110\t1.440000\n1417234711\t1.500000\n1417235311\t1.500000\n1417235912\t1.500000\n1417236512\t1.440000\n1417237113\t1.440000\n1417237713\t1.440000\n1417238314\t1.380000\n1417238914\t1.440000\n1417239515\t1.380000\n1417240115\t1.380000\n1417240716\t1.380000\n1417241316\t1.310000\n1417241917\t1.310000\n1417242518\t1.310000\n1417243118\t1.310000\n1417243719\t1.310000\n1417244319\t1.250000\n1417244920\t1.250000\n1417245535\t1.250000\n1417246136\t1.190000\n1417246736\t1.250000\n1417247337\t1.190000\n1417247937\t1.250000\n1417248538\t1.310000\n1417249138\t1.250000\n1417249739\t1.310000\n1417250339\t1.310000\n1417250940\t1.380000\n1417251541\t1.380000\n1417252141\t1.380000\n1417252742\t1.500000\n1417253342\t1.560000\n1417253943\t1.560000\n1417254543\t1.560000\n1417255144\t1.560000\n1417255744\t1.560000\n1417256345\t1.560000\n1417256945\t1.560000\n1417257546\t1.500000\n1417258147\t1.560000\n1417258747\t1.500000\n1417259347\t1.560000\n1417259948\t1.560000\n1417260548\t1.560000\n1417261149\t1.560000\n1417261750\t1.560000\n1417262350\t1.560000\n1417262951\t1.560000\n1417263566\t1.560000\n1417264167\t1.560000\n1417264767\t1.620000\n1417265368\t1.620000\n1417265968\t1.620000\n1417266569\t1.690000\n1417267169\t1.690000\n1417267770\t1.690000\n1417268370\t1.750000\n1417268971\t1.690000\n1417269572\t1.750000\n1417270172\t1.690000\n1417270773\t1.690000\n1417271373\t1.690000\n1417271974\t1.690000\n1417272574\t1.690000\n1417273175\t1.690000\n1417273775\t1.620000\n1417274376\t1.560000\n1417274977\t1.500000\n1417275577\t1.500000\n1417276178\t1.560000\n1417276778\t1.500000\n1417277379\t1.380000\n1417277979\t1.120000\n1417278580\t1.000000\n1417279180\t0.880000\n1417279781\t0.810000\n1417280381\t0.810000\n1417280982\t0.810000\n1417281598\t0.750000\n1417282198\t0.690000\n1417282799\t0.620000\n1417283399\t0.810000\n1417284000\t0.940000\n1417284600\t1.000000\n1417285201\t1.060000\n1417285801\t1.120000\n1417286402\t1.120000\n1417287002\t1.120000\n1417287603\t1.120000\n1417288203\t1.120000\n1417288804\t1.120000\n1417289405\t1.190000\n1417290005\t1.120000\n1417290606\t1.190000\n1417291206\t1.190000\n1417291807\t1.190000\n1417292407\t1.120000\n1417293008\t1.120000\n1417293608\t1.120000\n1417294209\t1.190000\n1417294809\t1.190000\n1417295410\t1.190000\n1417296010\t1.250000\n1417296611\t1.250000\n1417297212\t1.190000\n1417297812\t1.190000\n1417298413\t1.190000\n1417299013\t1.190000\n1417299614\t1.250000\n1417300229\t1.190000\n1417300830\t1.120000\n1417301430\t1.060000\n1417302031\t1.000000\n1417302631\t1.000000\n1417303232\t1.000000\n1417303832\t1.000000\n1417304433\t1.000000\n1417305033\t1.060000\n1417305634\t1.120000\n1417306235\t1.060000\n1417306835\t1.060000\n1417307436\t1.060000\n1417308036\t1.000000\n1417308637\t1.000000\n1417309237\t1.000000\n1417309838\t1.000000\n1417310438\t0.940000\n1417311039\t0.810000\n1417311639\t0.750000\n1417312240\t0.560000\n1417312840\t0.500000\n1417313441\t0.380000\n1417314041\t0.250000\n1417314642\t0.190000\n1417315242\t0.000000\n1417315843\t0.060000\n1417316444\t0.000000\n1417317044\t-0.060000\n1417317645\t-0.120000\n1417318245\t-0.120000\n1417318846\t-0.120000\n1417319446\t-0.250000\n1417320047\t-0.440000\n1417320647\t-0.500000\n1417321263\t-0.620000\n1417321863\t-0.620000\n1417322464\t-0.500000\n1417323064\t-0.380000\n1417323665\t-0.310000\n1417324265\t-0.190000\n1417324866\t-0.060000\n1417325467\t-0.060000\n1417326067\t-0.060000\n1417326668\t-0.120000\n1417327268\t0.000000\n1417327869\t0.060000\n1417328469\t0.060000\n1417329070\t0.190000\n1417329670\t0.250000\n1417330271\t0.250000\n1417330871\t0.250000\n1417331472\t0.250000\n1417332072\t0.310000\n1417332673\t0.440000\n1417333274\t0.500000\n1417333874\t0.560000\n1417334475\t0.560000\n1417335075\t0.620000\n1417335676\t0.620000\n1417336276\t0.690000\n1417336877\t0.690000\n1417337477\t0.750000\n1417338078\t0.750000\n1417338679\t0.750000\n1417339279\t0.750000\n1417339880\t0.810000\n1417340480\t0.810000\n1417341081\t0.810000\n1417341681\t0.880000\n1417342297\t0.880000\n1417342897\t0.880000\n1417343498\t0.880000\n1417344099\t0.880000\n1417344699\t0.940000\n1417345300\t1.000000\n1417345900\t1.000000\n1417346501\t1.000000\n1417347101\t1.000000\n1417347702\t1.000000\n1417348302\t1.000000\n1417348903\t1.000000\n1417349503\t1.060000\n1417350104\t1.000000\n1417350705\t1.000000\n1417351305\t0.940000\n1417351906\t0.940000\n1417352506\t0.940000\n1417353107\t1.000000\n1417353707\t0.880000\n1417354308\t0.750000\n1417354908\t0.620000\n1417355509\t0.620000\n1417356109\t0.690000\n1417356710\t0.690000\n1417357311\t0.750000\n1417357911\t0.750000\n1417358512\t0.690000\n1417359112\t0.690000\n1417359713\t0.690000\n1417360313\t0.750000\n1417360914\t0.690000\n1417361514\t0.750000\n1417362130\t0.750000\n1417362730\t0.750000\n1417363331\t0.750000\n1417363931\t0.690000\n1417364532\t0.500000\n1417365132\t0.190000\n1417365733\t0.000000\n1417366334\t-0.120000\n1417366934\t-0.250000\n1417367535\t-0.380000\n1417368135\t-0.500000\n1417368736\t-0.620000\n1417369336\t-0.810000\n1417369937\t-0.810000\n1417370537\t-0.940000\n1417371138\t-0.880000\n1417371738\t-1.000000\n1417372339\t-1.060000\n1417372939\t-1.190000\n1417373540\t-1.250000\n1417374140\t-1.380000\n1417374741\t-1.440000\n1417375342\t-1.380000\n1417375942\t-1.440000\n1417376543\t-1.500000\n1417377143\t-1.560000\n1417377744\t-1.620000\n1417378344\t-1.560000\n1417378945\t-1.620000\n1417379545\t-1.690000\n1417380161\t-1.690000\n1417380761\t-1.750000\n1417381362\t-1.620000\n1417381962\t-1.750000\n1417382563\t-1.750000\n1417383164\t-1.750000\n1417383764\t-1.690000\n1417384365\t-1.440000\n1417384965\t-1.310000\n1417385566\t-1.190000\n1417386166\t-1.190000\n1417386767\t-1.120000\n1417387367\t-1.000000\n1417387968\t-1.000000\n1417388568\t-0.940000\n1417389169\t-0.810000\n1417389769\t-0.810000\n1417390370\t-0.750000\n1417390971\t-0.810000\n1417391571\t-0.940000\n1417392172\t-0.940000\n1417392772\t-0.940000\n1417393373\t-0.940000\n1417393973\t-1.000000\n1417394574\t-1.000000\n1417395174\t-1.000000\n1417395775\t-1.000000\n1417396375\t-0.940000\n1417396976\t-0.880000\n1417397576\t-0.750000\n1417398177\t-0.690000\n1417398792\t-0.620000\n1417399393\t-0.690000\n1417399994\t-0.750000\n1417400594\t-0.690000\n1417401195\t-0.620000\n1417401795\t-0.750000\n1417402396\t-0.750000\n1417402996\t-0.750000\n1417403597\t-0.690000\n1417404197\t-0.690000\n1417404798\t-0.750000\n1417405398\t-0.810000\n1417405999\t-0.810000\n1417406600\t-0.810000\n1417407200\t-0.810000\n1417407801\t-0.750000\n1417408401\t-0.750000\n1417409002\t-0.750000\n1417409602\t-0.810000\n1417410203\t-0.880000\n1417410803\t-0.880000\n1417411404\t-0.880000\n1417412004\t-0.880000\n1417412605\t-0.810000\n1417413205\t-0.880000\n1417413806\t-1.000000\n1417414407\t-1.060000\n1417415007\t-1.120000\n1417415608\t-1.120000\n1417416208\t-1.060000\n1417416809\t-0.940000\n1417417424\t-0.940000\n1417418025\t-0.940000\n1417418625\t-0.940000\n1417419226\t-0.940000\n1417419826\t-0.940000\n1417420427\t-0.940000\n1417421028\t-0.880000\n1417421628\t-0.810000\n1417422229\t-0.750000\n1417422829\t-0.560000\n1417423430\t-0.380000\n1417424030\t-0.250000\n1417424631\t-0.250000\n1417425231\t-0.190000\n1417425832\t0.000000\n1417426432\t0.190000\n1417427033\t0.310000\n1417427634\t0.500000\n1417428234\t0.560000\n1417428835\t0.620000\n1417429435\t0.620000\n1417430036\t0.690000\n1417430636\t0.690000\n1417431237\t0.750000\n1417431837\t0.880000\n1417432438\t0.750000\n1417433038\t0.690000\n1417433639\t0.690000\n1417434239\t0.690000\n1417434840\t0.620000\n1417435456\t0.620000\n1417436056\t0.620000\n1417436657\t0.620000\n1417437257\t0.620000\n1417437858\t0.560000\n1417438458\t0.620000\n1417439059\t0.560000\n1417439659\t0.500000\n1417440260\t0.500000\n1417440860\t0.500000\n1417441461\t0.500000\n1417442061\t0.380000\n1417442662\t0.380000\n1417443262\t0.380000\n1417443863\t0.440000\n1417444464\t0.440000\n1417445064\t0.440000\n1417445665\t0.440000\n1417446265\t0.440000\n1417446866\t0.440000\n1417447466\t0.440000\n1417448067\t0.440000\n1417448667\t0.440000\n1417449268\t0.440000\n1417449868\t0.440000\n1417450469\t0.440000\n1417451069\t0.440000\n1417451670\t0.500000\n1417452270\t0.500000\n1417452871\t0.500000\n1417453472\t0.440000\n1417454072\t0.500000\n1417454688\t0.500000\n1417455288\t0.500000\n1417455889\t0.500000\n1417456489\t0.440000\n1417457090\t0.440000\n1417457690\t0.440000\n1417458291\t0.440000\n1417458891\t0.440000\n1417459492\t0.440000\n1417460092\t0.440000\n1417460693\t0.440000\n1417461293\t0.380000\n1417461894\t0.380000\n1417462495\t0.440000\n1417463095\t0.380000\n1417463696\t0.380000\n1417464296\t0.380000\n1417464897\t0.380000\n1417465497\t0.440000\n1417466098\t0.440000\n1417466698\t0.440000\n1417467299\t0.440000\n1417467899\t0.440000\n1417468500\t0.500000\n1417469100\t0.440000\n1417469701\t0.500000\n1417470302\t0.440000\n1417470902\t0.440000\n1417471503\t0.500000\n1417472103\t0.500000\n1417472719\t0.500000\n1417473319\t0.500000\n1417473920\t0.560000\n1417474520\t0.560000\n1417475121\t0.560000\n1417475721\t0.620000\n1417476322\t0.560000\n1417476922\t0.560000\n1417477523\t0.560000\n1417478124\t0.560000\n1417478724\t0.620000\n1417479325\t0.620000\n1417479925\t0.690000\n1417480526\t0.690000\n1417481126\t0.690000\n1417481727\t0.690000\n1417482327\t0.620000\n1417482928\t0.690000\n1417483528\t0.620000\n1417484129\t0.690000\n1417484729\t0.690000\n1417485330\t0.690000\n1417485930\t0.690000\n1417486531\t0.690000\n1417487131\t0.690000\n1417487732\t0.690000\n1417488333\t0.690000\n1417488933\t0.690000\n1417489534\t0.690000\n1417490149\t0.620000\n1417490750\t0.620000\n1417491350\t0.620000\n1417491951\t0.620000\n1417492551\t0.620000\n1417493152\t0.560000\n1417493753\t0.560000\n1417494353\t0.560000\n1417494954\t0.500000\n1417495554\t0.440000\n1417496155\t0.440000\n1417496755\t0.440000\n1417497356\t0.440000\n1417497956\t0.440000\n1417498557\t0.440000\n1417499157\t0.440000\n1417499758\t0.380000\n1417500358\t0.380000\n1417500959\t0.380000\n1417501560\t0.380000\n1417502160\t0.380000\n1417502761\t0.380000\n1417503361\t0.380000\n1417503962\t0.380000\n1417504562\t0.380000\n1417505163\t0.380000\n1417505763\t0.440000\n1417506364\t0.440000\n1417506964\t0.440000\n1417507565\t0.440000\n1417508180\t0.440000\n1417508781\t0.440000\n1417509381\t0.560000\n1417509982\t0.560000\n1417510583\t0.560000\n1417511183\t0.620000\n1417511784\t0.690000\n1417512384\t0.690000\n1417512985\t0.690000\n1417513585\t0.690000\n1417514186\t0.750000\n1417514786\t0.810000\n1417515387\t0.810000\n1417515987\t0.880000\n1417516588\t0.880000\n1417517189\t0.880000\n1417517789\t0.940000\n1417518390\t0.940000\n1417518990\t0.940000\n1417519591\t0.940000\n1417520191\t0.940000\n1417520792\t0.940000\n1417521392\t0.940000\n1417521993\t0.940000\n1417522593\t0.940000\n1417523194\t0.940000\n1417523794\t0.940000\n1417524395\t0.940000\n1417524996\t0.940000\n1417525596\t0.880000\n1417526197\t0.880000\n1417526797\t0.810000\n1417527413\t0.810000\n1417528013\t0.810000\n1417528614\t0.750000\n1417529214\t0.690000\n1417529815\t0.690000\n1417530415\t0.690000\n1417531016\t0.620000\n1417531616\t0.690000\n1417532217\t0.750000\n1417532818\t0.690000\n1417533418\t0.690000\n1417534019\t0.690000\n1417534619\t0.690000\n1417535220\t0.690000\n1417535820\t0.560000\n1417536421\t0.500000\n1417537021\t0.310000\n1417537622\t0.190000\n1417538222\t0.120000\n1417538823\t0.000000\n1417539423\t-0.060000\n1417540024\t-0.060000\n1417540624\t0.000000\n1417541225\t0.000000\n1417541826\t0.120000\n1417542426\t0.190000\n1417543027\t0.250000\n1417543627\t0.310000\n1417544228\t0.380000\n1417544828\t0.310000\n1417545444\t0.310000\n1417546044\t0.380000\n1417546645\t0.440000\n1417547245\t0.440000\n1417547846\t0.500000\n1417548447\t0.500000\n1417549047\t0.560000\n1417549648\t0.500000\n1417550248\t0.500000\n1417550849\t0.560000\n1417551449\t0.500000\n1417552050\t0.620000\n1417552650\t0.690000\n1417553251\t0.690000\n1417553852\t0.810000\n1417554452\t0.880000\n1417555053\t0.880000\n1417555653\t0.940000\n1417556254\t1.000000\n1417556854\t1.000000\n1417557455\t1.060000\n1417558055\t1.060000\n1417558656\t1.060000\n1417559256\t1.060000\n1417559857\t1.120000\n1417560457\t1.120000\n1417561058\t1.190000\n1417561658\t1.060000\n1417562259\t1.000000\n1417562860\t0.880000\n1417563475\t0.810000\n1417564076\t0.810000\n1417564676\t0.940000\n1417565277\t1.060000\n1417565877\t1.060000\n1417566478\t1.060000\n1417567079\t1.060000\n1417567679\t1.060000\n1417568280\t1.060000\n1417568880\t1.000000\n1417569481\t1.000000\n1417570081\t0.940000\n1417570682\t1.000000\n1417571282\t0.810000\n1417571883\t0.750000\n1417572483\t0.750000\n1417573084\t0.690000\n1417573684\t0.750000\n1417574285\t0.750000\n1417574886\t0.500000\n1417575486\t0.310000\n1417576087\t0.120000\n1417576687\t0.120000\n1417577288\t0.190000\n1417577888\t0.250000\n1417578489\t0.310000\n1417579089\t0.380000\n1417579690\t0.310000\n1417580290\t0.250000\n1417580891\t0.190000\n1417581491\t0.000000\n1417582092\t0.060000\n1417582707\t0.190000\n1417583308\t0.310000\n1417583909\t0.380000\n1417584509\t0.440000\n1417585110\t0.440000\n1417585710\t0.310000\n1417586311\t0.310000\n1417586911\t0.380000\n1417587512\t0.310000\n1417588112\t0.250000\n1417588713\t0.060000\n1417589313\t0.120000\n1417589914\t0.000000\n1417590514\t-0.060000\n1417591115\t-0.120000\n1417591715\t-0.060000\n1417592316\t-0.060000\n1417592917\t0.060000\n1417593517\t0.120000\n1417594118\t0.120000\n1417594718\t0.060000\n1417595319\t0.190000\n1417595919\t0.250000\n1417596520\t0.310000\n1417597120\t0.380000\n1417597721\t0.500000\n1417598321\t0.560000\n1417598922\t0.620000\n1417599522\t0.560000\n1417600138\t0.620000\n1417600739\t1.000000\n1417601339\t1.000000\n1417601940\t1.120000\n1417602540\t1.190000\n1417603141\t1.250000\n1417603741\t1.310000\n1417604342\t1.440000\n1417604942\t1.500000\n1417605543\t1.560000\n1417606143\t1.500000\n1417606744\t1.620000\n1417607345\t1.750000\n1417607945\t1.810000\n1417608546\t2.000000\n1417609146\t2.190000\n1417609747\t2.120000\n1417610347\t2.000000\n1417610948\t1.940000\n1417611548\t1.940000\n1417612149\t2.060000\n1417612749\t2.060000\n1417613350\t2.000000\n1417613950\t1.940000\n1417614551\t1.690000\n1417615151\t1.560000\n1417615752\t1.380000\n1417616353\t1.380000\n1417616953\t1.440000\n1417617554\t1.380000\n1417618154\t1.250000\n1417618770\t1.250000\n1417619370\t1.190000\n1417619971\t1.060000\n1417620571\t1.060000\n1417621172\t0.940000\n1417621772\t0.940000\n1417622373\t0.810000\n1417622974\t0.810000\n1417623574\t0.810000\n1417624175\t0.810000\n1417624775\t0.750000\n1417625376\t0.690000\n1417625976\t0.560000\n1417626577\t0.750000\n1417627177\t0.940000\n1417627778\t1.190000\n1417628378\t1.310000\n1417628979\t1.440000\n1417629579\t1.690000\n1417630180\t1.810000\n1417630780\t1.940000\n1417631381\t1.940000\n1417631982\t1.880000\n1417632582\t1.940000\n1417633183\t1.940000\n1417633783\t1.940000\n1417634384\t1.810000\n1417634984\t1.810000\n1417635585\t1.810000\n1417636185\t1.880000\n1417636801\t1.880000\n1417637401\t1.880000\n1417638002\t1.880000\n1417638603\t1.810000\n1417639203\t1.940000\n1417639804\t2.060000\n1417640404\t2.250000\n1417641005\t2.310000\n1417641605\t2.380000\n1417642206\t2.500000\n1417642806\t2.500000\n1417643407\t2.500000\n1417644007\t2.500000\n1417644608\t2.380000\n1417645208\t2.310000\n1417645809\t2.440000\n1417646410\t2.380000\n1417647010\t2.440000\n1417647611\t2.440000\n1417648211\t2.440000\n1417648812\t2.440000\n1417649412\t2.440000\n1417650013\t2.500000\n1417650613\t2.440000\n1417651214\t2.500000\n1417651814\t2.440000\n1417652415\t2.440000\n1417653015\t2.440000\n1417653616\t2.500000\n1417654216\t2.500000\n1417654817\t2.500000\n1417655433\t2.560000\n1417656033\t2.560000\n1417656634\t2.620000\n1417657234\t2.690000\n1417657835\t2.750000\n1417658435\t2.750000\n1417659036\t2.810000\n1417659636\t2.810000\n1417660237\t2.810000\n1417660837\t2.940000\n1417661438\t3.060000\n1417662038\t3.000000\n1417662639\t3.000000\n1417663240\t3.000000\n1417663840\t2.940000\n1417664441\t2.940000\n1417665041\t3.000000\n1417665642\t3.060000\n1417666242\t3.120000\n1417666843\t3.190000\n1417667443\t3.250000\n1417668044\t3.310000\n1417668644\t3.310000\n1417669245\t3.250000\n1417669845\t3.310000\n1417670446\t3.380000\n1417671047\t3.380000\n1417671647\t3.380000\n1417672248\t3.380000\n1417672848\t3.440000\n1417673449\t3.440000\n1417674064\t3.500000\n1417674665\t3.440000\n1417675265\t3.500000\n1417675866\t3.500000\n1417676466\t3.440000\n1417677067\t3.440000\n1417677667\t3.440000\n1417678268\t3.440000\n1417678868\t3.500000\n1417679469\t3.560000\n1417680070\t3.560000\n1417680670\t3.690000\n1417681271\t3.690000\n1417681871\t3.810000\n1417682472\t3.880000\n1417683072\t3.940000\n1417683673\t4.060000\n1417684273\t4.000000\n1417684874\t4.060000\n1417685474\t4.060000\n1417686075\t4.120000\n1417686675\t4.190000\n1417687276\t4.310000\n1417687876\t4.380000\n1417688477\t4.440000\n1417689078\t4.500000\n1417689678\t4.560000\n1417690279\t4.560000\n1417690879\t4.560000\n1417691480\t4.620000\n1417692080\t4.690000\n1417692681\t4.690000\n1417693281\t4.690000\n1417693897\t4.690000\n1417694497\t4.690000\n1417695098\t4.750000\n1417695699\t4.750000\n1417696299\t4.690000\n1417696900\t4.690000\n1417697500\t4.690000\n1417698101\t4.620000\n1417698701\t4.690000\n1417699302\t4.690000\n1417699902\t4.560000\n1417700503\t4.560000\n1417701103\t4.620000\n1417701704\t4.620000\n1417702304\t4.620000\n1417702905\t4.620000\n1417703506\t4.560000\n1417704106\t4.560000\n1417704707\t4.560000\n1417705307\t4.620000\n1417705908\t4.560000\n1417706508\t4.500000\n1417707109\t4.500000\n1417707709\t4.560000\n1417708310\t4.500000\n1417708910\t4.440000\n1417709511\t4.500000\n1417710111\t4.440000\n1417710712\t4.310000\n1417711313\t4.380000\n1417711913\t4.380000\n1417712514\t4.380000\n1417713114\t4.380000\n1417713715\t4.310000\n1417714315\t4.190000\n1417714931\t4.120000\n1417715531\t4.060000\n1417716132\t4.060000\n1417716732\t4.000000\n1417717333\t3.940000\n1417717933\t3.940000\n1417718534\t3.940000\n1417719134\t3.940000\n1417719735\t3.940000\n1417720336\t3.880000\n1417720936\t3.880000\n1417721537\t3.880000\n1417722137\t3.940000\n1417722738\t3.940000\n1417723338\t3.940000\n1417723939\t3.940000\n1417724539\t3.880000\n1417725140\t3.880000\n1417725740\t3.880000\n1417726341\t3.810000\n1417726942\t3.810000\n1417727542\t3.750000\n1417728143\t3.750000\n1417728743\t3.690000\n1417729344\t3.620000\n1417729944\t3.560000\n1417730545\t3.500000\n1417731145\t3.440000\n1417731746\t3.380000\n1417732346\t3.380000\n1417732947\t3.310000\n1417733548\t3.310000\n1417734148\t3.250000\n1417734749\t3.190000\n1417735364\t3.190000\n1417735965\t3.190000\n1417736565\t3.060000\n1417737166\t3.060000\n1417737766\t2.940000\n1417738367\t2.880000\n1417738967\t2.750000\n1417739568\t2.690000\n1417740168\t2.620000\n1417740769\t2.620000\n1417741369\t2.560000\n1417741970\t2.560000\n1417742570\t2.560000\n1417743171\t2.560000\n1417743772\t2.500000\n1417744372\t2.500000\n1417744973\t2.440000\n1417745573\t2.380000\n1417746174\t2.310000\n1417746774\t2.380000\n1417747375\t2.310000\n1417747975\t2.250000\n1417748576\t2.120000\n1417749176\t2.060000\n1417749777\t1.940000\n1417750378\t1.750000\n1417750978\t1.690000\n1417751579\t1.560000\n1417752179\t1.500000\n1417752780\t1.310000\n1417753380\t1.250000\n1417753981\t1.190000\n1417754596\t1.060000\n1417755197\t0.880000\n1417755797\t0.810000\n1417756398\t0.750000\n1417756999\t0.690000\n1417757599\t0.690000\n1417758200\t0.620000\n1417758800\t0.500000\n1417759401\t0.440000\n1417760001\t0.440000\n1417760602\t0.500000\n1417761202\t0.500000\n1417761803\t0.560000\n1417762403\t0.500000\n1417763004\t0.500000\n1417763604\t0.620000\n1417764205\t0.620000\n1417764806\t0.620000\n1417765406\t0.690000\n1417766007\t0.690000\n1417766607\t0.690000\n1417767208\t0.620000\n1417767808\t0.690000\n1417768409\t0.690000\n1417769009\t0.810000\n1417769610\t0.880000\n1417770210\t0.940000\n1417770811\t0.940000\n1417771411\t1.000000\n1417772012\t1.000000\n1417772613\t1.000000\n1417773228\t1.060000\n1417773829\t1.120000\n1417774429\t1.250000\n1417775030\t1.250000\n1417775630\t1.310000\n1417776231\t1.310000\n1417776831\t1.310000\n1417777432\t1.380000\n1417778032\t1.380000\n1417778633\t1.440000\n1417779233\t1.440000\n1417779834\t1.440000\n1417780434\t1.500000\n1417781035\t1.560000\n1417781635\t1.560000\n1417782236\t1.690000\n1417782837\t1.750000\n1417783437\t1.750000\n1417784038\t1.750000\n1417784638\t1.690000\n1417785239\t1.690000\n1417785839\t1.690000\n1417786440\t1.690000\n1417787040\t1.690000\n1417787641\t1.620000\n1417788241\t1.620000\n1417788842\t1.620000\n1417789442\t1.560000\n1417790043\t1.620000\n1417790643\t1.620000\n1417791244\t1.620000\n1417791860\t1.690000\n1417792460\t1.620000\n1417793061\t1.620000\n1417793661\t1.620000\n1417794262\t1.620000\n1417794862\t1.690000\n1417795463\t1.690000\n1417796063\t1.690000\n1417796664\t1.690000\n1417797264\t1.690000\n1417797865\t1.690000\n1417798466\t1.690000\n1417799066\t1.690000\n1417799667\t1.690000\n1417800267\t1.690000\n1417800868\t1.690000\n1417801468\t1.690000\n1417802069\t1.690000\n1417802669\t1.690000\n1417803270\t1.750000\n1417803870\t1.750000\n1417804471\t1.750000\n1417805071\t1.750000\n1417805672\t1.750000\n1417806273\t1.810000\n1417806873\t1.810000\n1417807473\t1.810000\n1417808074\t1.880000\n1417808675\t1.880000\n1417809275\t1.880000\n1417809876\t1.880000\n1417810491\t1.940000\n1417811092\t1.880000\n1417811692\t1.940000\n1417812293\t1.880000\n1417812893\t1.940000\n1417813494\t1.940000\n1417814094\t1.940000\n1417814695\t2.000000\n1417815296\t2.000000\n1417815896\t2.060000\n1417816497\t2.000000\n1417817097\t2.000000\n1417817698\t2.000000\n1417818298\t2.000000\n1417818899\t2.000000\n1417819499\t2.000000\n1417820100\t2.060000\n1417820700\t2.060000\n1417821301\t2.060000\n1417821901\t2.120000\n1417822502\t2.120000\n1417823102\t2.120000\n1417823703\t2.120000\n1417824304\t2.120000\n1417824904\t2.120000\n1417825505\t2.120000\n1417826105\t2.190000\n1417826706\t2.190000\n1417827306\t2.190000\n1417827907\t2.250000\n1417828522\t2.250000\n1417829123\t2.310000\n1417829723\t2.310000\n1417830324\t2.380000\n1417830924\t2.380000\n1417831525\t2.380000\n1417832126\t2.310000\n1417832726\t2.380000\n1417833327\t2.380000\n1417833927\t2.380000\n1417834528\t2.380000\n1417835128\t2.440000\n1417835729\t2.440000\n1417836329\t2.440000\n1417836930\t2.440000\n1417837530\t2.440000\n1417838131\t2.500000\n1417838731\t2.560000\n1417839332\t2.560000\n1417839932\t2.560000\n1417840533\t2.620000\n1417841134\t2.750000\n1417841734\t2.750000\n1417842335\t2.810000\n1417842935\t2.880000\n1417843536\t2.880000\n1417844136\t2.940000\n1417844737\t2.940000\n1417845337\t2.940000\n1417845938\t3.000000\n1417846553\t3.060000\n1417847154\t3.120000\n1417847755\t3.120000\n1417848355\t3.120000\n1417848956\t3.190000\n1417849556\t3.190000\n1417850157\t3.190000\n1417850757\t3.250000\n1417851358\t3.500000\n1417851958\t3.560000\n1417852559\t3.690000\n1417853159\t3.810000\n1417853760\t3.940000\n1417854360\t3.940000\n1417854961\t3.940000\n1417855561\t4.000000\n1417856162\t3.940000\n1417856762\t3.940000\n1417857363\t3.940000\n1417857964\t3.880000\n1417858564\t3.880000\n1417859165\t3.810000\n1417859765\t3.750000\n1417860366\t3.750000\n1417860966\t3.750000\n1417861567\t3.750000\n1417862167\t3.750000\n1417862768\t3.690000\n1417863368\t3.560000\n1417863984\t3.500000\n1417864585\t3.440000\n1417865185\t3.440000\n1417865786\t3.440000\n1417866386\t3.440000\n1417866987\t3.440000\n1417867587\t3.380000\n1417868188\t3.380000\n1417868788\t3.380000\n1417869389\t3.380000\n1417869989\t3.310000\n1417870590\t3.120000\n1417871191\t2.940000\n1417871791\t2.690000\n1417872392\t2.500000\n1417872992\t2.310000\n1417873593\t2.000000\n1417874193\t1.810000\n1417874794\t1.440000\n1417875394\t1.310000\n1417875995\t1.190000\n1417876595\t1.000000\n1417877196\t1.000000\n1417877796\t0.810000\n1417878397\t0.810000\n1417878997\t0.690000\n1417879598\t0.620000\n1417880198\t0.560000\n1417880799\t0.500000\n1417881400\t0.380000\n1417882015\t0.380000\n1417882616\t0.250000\n1417883216\t0.250000\n1417883817\t0.120000\n1417884417\t0.060000\n1417885018\t0.120000\n1417885618\t-0.120000\n1417886219\t-0.060000\n1417886819\t0.000000\n1417887420\t0.000000\n1417888020\t0.060000\n1417888621\t0.060000\n1417889221\t0.060000\n1417889822\t0.120000\n1417890423\t0.190000\n1417891023\t0.120000\n1417891624\t0.250000\n1417892224\t0.250000\n1417892825\t0.310000\n1417893425\t0.440000\n1417894026\t0.500000\n1417894626\t0.440000\n1417895227\t0.380000\n1417895827\t0.380000\n1417896428\t0.380000\n1417897028\t0.380000\n1417897629\t0.440000\n1417898230\t0.440000\n1417898830\t0.380000\n1417899446\t0.440000\n1417900046\t0.250000\n1417900647\t0.120000\n1417901247\t0.000000\n1417901848\t-0.060000\n1417902448\t-0.190000\n1417903049\t-0.120000\n1417903649\t0.060000\n1417904250\t0.190000\n1417904850\t0.440000\n1417905451\t0.690000\n1417906051\t0.880000\n1417906652\t1.000000\n1417907252\t1.000000\n1417907853\t0.940000\n1417908453\t0.690000\n1417909054\t0.560000\n1417909654\t0.380000\n1417910255\t0.250000\n1417910855\t0.120000\n1417911456\t0.000000\n1417912056\t-0.060000\n1417912657\t-0.120000\n1417913257\t-0.250000\n1417913858\t-0.120000\n1417914459\t-0.120000\n1417915059\t-0.120000\n1417915660\t-0.060000\n1417916260\t-0.060000\n1417916861\t0.000000\n1417917476\t-0.120000\n1417918077\t-0.120000\n1417918677\t0.060000\n1417919278\t0.120000\n1417919878\t0.190000\n1417920479\t0.310000\n1417921080\t0.440000\n1417921680\t0.500000\n1417922281\t0.560000\n1417922881\t0.690000\n1417923482\t0.940000\n1417924082\t1.060000\n1417924683\t1.250000\n1417925283\t1.440000\n1417925884\t1.620000\n1417926484\t1.750000\n1417927085\t1.880000\n1417927686\t2.000000\n1417928286\t2.120000\n1417928887\t2.250000\n1417929487\t2.310000\n1417930088\t2.250000\n1417930688\t2.310000\n1417931289\t2.380000\n1417931889\t2.380000\n1417932490\t2.380000\n1417933090\t2.440000\n1417933691\t2.440000\n1417934292\t2.500000\n1417934892\t2.500000\n1417935508\t2.500000\n1417936108\t2.620000\n1417936709\t2.690000\n1417937309\t2.810000\n1417937910\t2.750000\n1417938510\t2.810000\n1417939111\t2.810000\n1417939711\t2.880000\n1417940312\t2.880000\n1417940912\t2.940000\n1417941513\t2.940000\n1417942114\t3.000000\n1417942714\t3.120000\n1417943315\t3.190000\n1417943915\t3.190000\n1417944516\t3.250000\n1417945116\t3.310000\n1417945717\t3.500000\n1417946317\t3.880000\n1417946918\t4.060000\n1417947518\t4.250000\n1417948119\t4.500000\n1417948720\t4.500000\n1417949320\t4.620000\n1417949921\t4.690000\n1417950521\t4.750000\n1417951122\t4.940000\n1417951722\t5.000000\n1417952323\t5.000000\n1417952923\t5.000000\n1417953524\t4.940000\n1417954140\t5.000000\n1417954740\t5.060000\n1417955341\t5.060000\n1417955941\t5.000000\n1417956542\t4.940000\n1417957142\t4.880000\n1417957743\t4.940000\n1417958343\t4.940000\n1417958944\t4.880000\n1417959544\t4.880000\n1417960145\t4.810000\n1417960746\t4.810000\n1417961346\t4.810000\n1417961947\t4.810000\n1417962547\t4.750000\n1417963148\t4.750000\n1417963748\t4.810000\n1417964349\t4.810000\n1417964949\t4.880000\n1417965550\t4.940000\n1417966150\t5.000000\n1417966751\t5.060000\n1417967352\t5.000000\n1417967952\t5.060000\n1417968553\t5.060000\n1417969153\t5.060000\n1417969754\t5.060000\n1417970354\t5.000000\n1417970955\t5.060000\n1417971555\t5.000000\n1417972156\t5.060000\n1417972757\t5.000000\n1417973372\t5.060000\n1417973973\t5.060000\n1417974573\t5.060000\n1417975174\t5.060000\n1417975774\t5.000000\n1417976375\t5.000000\n1417976975\t4.940000\n1417977576\t4.940000\n1417978176\t4.940000\n1417978777\t4.880000\n1417979377\t4.880000\n1417979978\t4.880000\n1417980579\t4.880000\n1417981179\t4.880000\n1417981780\t4.810000\n1417982380\t4.810000\n1417982981\t4.810000\n1417983581\t4.810000\n1417984182\t4.810000\n1417984782\t4.880000\n1417985383\t4.810000\n1417985983\t4.750000\n1417986584\t4.750000\n1417987185\t4.750000\n1417987785\t4.810000\n1417988386\t4.880000\n1417988986\t4.880000\n1417989587\t4.880000\n1417990187\t4.940000\n1417990788\t4.880000\n1417991388\t4.810000\n1417991989\t4.880000\n1417992605\t4.810000\n1417993205\t4.810000\n1417993806\t4.880000\n1417994406\t4.880000\n1417995007\t4.940000\n1417995607\t4.940000\n1417996208\t4.940000\n1417996808\t4.940000\n1417997409\t4.880000\n1417998009\t4.810000\n1417998610\t4.750000\n1417999210\t4.750000\n1417999811\t4.750000\n1418000411\t4.750000\n1418001012\t4.750000\n1418001613\t4.750000\n1418002213\t4.940000\n1418002814\t4.880000\n1418003414\t4.750000\n1418004015\t4.560000\n1418004615\t4.500000\n1418005216\t4.380000\n1418005816\t4.250000\n1418006417\t4.190000\n1418007017\t4.060000\n1418007618\t4.000000\n1418008218\t3.880000\n1418008834\t3.810000\n1418009434\t3.750000\n1418010035\t3.560000\n1418010635\t3.560000\n1418011236\t3.440000\n1418011837\t3.380000\n1418012437\t3.310000\n1418013038\t3.250000\n1418013638\t3.250000\n1418014239\t3.190000\n1418014839\t3.120000\n1418015440\t3.060000\n1418016040\t3.000000\n1418016641\t2.940000\n1418017241\t2.810000\n1418017842\t2.810000\n1418018443\t2.690000\n1418019043\t2.620000\n1418019644\t2.560000\n1418020244\t2.500000\n1418020845\t2.500000\n1418021445\t2.440000\n1418022046\t2.380000\n1418022646\t2.440000\n1418023247\t2.440000\n1418023847\t2.310000\n1418024448\t2.310000\n1418025048\t2.380000\n1418025649\t2.380000\n1418026264\t2.380000\n1418026865\t2.440000\n1418027465\t2.500000\n1418028066\t2.500000\n1418028666\t2.560000\n1418029267\t2.750000\n1418029868\t2.810000\n1418030468\t2.880000\n1418031069\t3.000000\n1418031669\t3.120000\n1418032270\t3.310000\n1418032870\t3.380000\n1418033471\t3.560000\n1418034071\t3.750000\n1418034672\t3.880000\n1418035272\t3.940000\n1418035873\t3.880000\n1418036473\t3.880000\n1418037074\t3.940000\n1418037674\t3.940000\n1418038275\t3.940000\n1418038876\t4.000000\n1418039476\t4.060000\n1418040077\t4.060000\n1418040677\t4.060000\n1418041278\t4.060000\n1418041878\t3.810000\n1418042479\t3.810000\n1418043079\t3.940000\n1418043680\t4.000000\n1418044280\t3.690000\n1418044896\t3.620000\n1418045496\t3.560000\n1418046097\t3.620000\n1418046698\t3.750000\n1418047298\t3.880000\n1418047899\t3.940000\n1418048499\t3.940000\n1418049100\t3.940000\n1418049700\t3.810000\n1418050301\t3.620000\n1418050901\t3.440000\n1418051502\t3.310000\n1418052102\t3.120000\n1418052703\t3.000000\n1418053303\t3.000000\n1418053904\t3.000000\n1418054504\t2.940000\n1418055105\t2.880000\n1418055706\t2.810000\n1418056306\t2.810000\n1418056907\t2.940000\n1418057507\t2.880000\n1418058108\t2.750000\n1418058708\t2.810000\n1418059309\t2.750000\n1418059909\t2.810000\n1418060510\t2.750000\n1418061110\t2.750000\n1418061711\t2.500000\n1418062312\t2.310000\n1418062912\t2.250000\n1418063528\t2.250000\n1418064128\t2.190000\n1418064729\t2.310000\n1418065329\t2.440000\n1418065930\t2.500000\n1418066530\t2.500000\n1418067131\t2.440000\n1418067731\t2.440000\n1418068332\t2.250000\n1418068933\t2.250000\n1418069533\t2.250000\n1418070134\t2.310000\n1418070734\t2.380000\n1418071335\t2.380000\n1418071935\t2.310000\n1418072536\t2.120000\n1418073136\t2.120000\n1418073737\t2.190000\n1418074337\t2.120000\n1418074938\t2.120000\n1418075538\t2.000000\n1418076139\t2.060000\n1418076739\t2.120000\n1418077340\t2.250000\n1418077940\t2.120000\n1418078541\t2.120000\n1418079142\t2.190000\n1418079742\t2.250000\n1418080343\t2.250000\n1418080943\t2.120000\n1418081544\t2.190000\n1418082159\t2.380000\n1418082760\t2.380000\n1418083360\t2.310000\n1418083961\t2.380000\n1418084561\t2.380000\n1418085162\t2.440000\n1418085762\t2.250000\n1418086363\t2.000000\n1418086963\t2.060000\n1418087564\t2.120000\n1418088165\t2.000000\n1418088765\t1.880000\n1418089366\t1.880000\n1418089966\t2.060000\n1418090567\t2.250000\n1418091167\t2.380000\n1418091768\t2.440000\n1418092368\t2.500000\n1418092969\t2.500000\n1418093569\t2.560000\n1418094170\t2.620000\n1418094771\t2.690000\n1418095371\t2.620000\n1418095972\t2.620000\n1418096572\t2.560000\n1418097173\t2.560000\n1418097773\t2.560000\n1418098374\t2.380000\n1418098974\t2.380000\n1418099575\t2.380000\n1418100175\t2.380000\n1418100776\t2.380000\n1418101376\t2.250000\n1418101977\t2.310000\n1418102577\t2.310000\n1418103193\t2.380000\n1418103793\t2.380000\n1418104394\t2.380000\n1418104995\t2.440000\n1418105595\t2.380000\n1418106196\t2.250000\n1418106796\t2.060000\n1418107397\t2.000000\n1418107997\t2.000000\n1418108598\t2.000000\n1418109198\t2.000000\n1418109799\t1.940000\n1418110399\t1.810000\n1418111000\t1.690000\n1418111600\t1.690000\n1418112201\t1.690000\n1418112802\t1.750000\n1418113402\t1.750000\n1418114003\t1.810000\n1418114603\t1.810000\n1418115204\t1.880000\n1418115804\t2.000000\n1418116405\t2.190000\n1418117005\t2.190000\n1418117606\t2.190000\n1418118206\t2.380000\n1418118807\t2.500000\n1418119407\t2.500000\n1418120008\t2.560000\n1418120609\t2.620000\n1418121209\t2.690000\n1418121810\t2.810000\n1418122410\t2.880000\n1418123011\t3.000000\n1418123626\t3.120000\n1418124227\t3.120000\n1418124827\t3.120000\n1418125428\t3.120000\n1418126028\t3.250000\n1418126629\t3.190000\n1418127230\t3.120000\n1418127830\t3.000000\n1418128431\t2.880000\n1418129031\t2.880000\n1418129632\t2.750000\n1418130232\t2.750000\n1418130833\t2.690000\n1418131433\t2.620000\n1418132034\t2.560000\n1418132634\t2.440000\n1418133235\t2.120000\n1418133836\t1.940000\n1418134436\t1.750000\n1418135037\t1.620000\n1418135637\t1.500000\n1418136238\t1.380000\n1418136838\t1.440000\n1418137439\t1.380000\n1418138039\t1.380000\n1418138640\t1.500000\n1418139240\t1.310000\n1418139841\t1.250000\n1418140442\t1.060000\n1418141042\t0.940000\n1418141643\t0.880000\n1418142243\t1.000000\n1418142844\t1.120000\n1418143444\t1.250000\n1418144060\t1.500000\n1418144660\t1.500000\n1418145261\t1.560000\n1418145861\t1.690000\n1418146462\t1.880000\n1418147063\t2.060000\n1418147663\t2.120000\n1418148264\t2.000000\n1418148864\t1.810000\n1418149465\t1.750000\n1418150065\t1.500000\n1418150666\t1.380000\n1418151266\t1.380000\n1418151867\t1.440000\n1418152468\t1.560000\n1418153068\t1.750000\n1418153669\t1.810000\n1418154269\t1.880000\n1418154870\t1.810000\n1418155470\t1.880000\n1418156071\t1.880000\n1418156671\t1.880000\n1418157272\t1.940000\n1418157872\t1.940000\n1418158473\t1.880000\n1418159073\t1.690000\n1418159674\t1.620000\n1418160275\t1.560000\n1418160875\t1.560000\n1418161476\t1.620000\n1418162076\t1.620000\n1418162692\t1.690000\n1418163292\t1.690000\n1418163893\t1.750000\n1418164493\t1.810000\n1418165094\t1.940000\n1418165694\t2.000000\n1418166295\t2.190000\n1418166895\t2.250000\n1418167496\t2.310000\n1418168096\t2.380000\n1418168697\t2.380000\n1418169297\t2.440000\n1418169898\t2.500000\n1418170499\t2.500000\n1418171099\t2.620000\n1418171700\t2.690000\n1418172300\t2.810000\n1418172901\t2.880000\n1418173501\t2.880000\n1418174102\t2.750000\n1418174702\t2.810000\n1418175303\t2.810000\n1418175903\t2.810000\n1418176504\t2.880000\n1418177104\t3.060000\n1418177705\t3.060000\n1418178306\t3.060000\n1418178906\t3.120000\n1418179507\t3.190000\n1418180107\t3.250000\n1418180723\t3.250000\n1418181323\t3.380000\n1418181924\t3.380000\n1418182524\t3.380000\n1418183125\t3.310000\n1418183725\t3.250000\n1418184326\t3.190000\n1418184926\t3.060000\n1418185527\t3.000000\n1418186128\t2.940000\n1418186728\t2.880000\n1418187329\t2.880000\n1418187929\t2.810000\n1418188530\t2.880000\n1418189130\t2.880000\n1418189731\t2.880000\n1418190331\t2.810000\n1418190932\t2.750000\n1418191532\t2.690000\n1418192133\t2.690000\n1418192733\t2.620000\n1418193334\t2.620000\n1418193934\t2.620000\n1418194535\t2.620000\n1418195135\t2.620000\n1418195736\t2.620000\n1418196336\t2.560000\n1418196937\t2.560000\n1418197538\t2.560000\n1418198153\t2.560000\n1418198754\t2.560000\n1418199354\t2.560000\n1418199955\t2.560000\n1418200555\t2.560000\n1418201156\t2.620000\n1418201756\t2.690000\n1418202357\t2.750000\n1418202957\t2.810000\n1418203558\t2.750000\n1418204158\t2.810000\n1418204759\t2.810000\n1418205360\t2.810000\n1418205960\t2.880000\n1418206561\t2.880000\n1418207161\t2.940000\n1418207762\t3.000000\n1418208362\t2.940000\n1418208963\t2.940000\n1418209563\t2.880000\n1418210164\t2.810000\n1418210764\t2.810000\n1418211365\t2.810000\n1418211966\t2.810000\n1418212566\t2.810000\n1418213167\t2.810000\n1418213767\t2.750000\n1418214368\t2.690000\n1418214968\t2.690000\n1418215569\t2.620000\n1418216169\t2.560000\n1418216785\t2.560000\n1418217385\t2.500000\n1418217986\t2.500000\n1418218586\t2.500000\n1418219187\t2.500000\n1418219788\t2.560000\n1418220388\t2.560000\n1418220989\t2.560000\n1418221589\t2.560000\n1418222190\t2.560000\n1418222790\t2.560000\n1418223391\t2.620000\n1418223991\t2.620000\n1418224592\t2.690000\n1418225192\t2.750000\n1418225793\t2.750000\n1418226394\t2.810000\n1418226994\t2.810000\n1418227595\t2.750000\n1418228195\t2.810000\n1418228796\t2.810000\n1418229396\t2.940000\n1418229997\t3.120000\n1418230597\t3.060000\n1418231198\t3.000000\n1418231798\t2.880000\n1418232399\t2.750000\n1418233000\t2.690000\n1418233600\t2.690000\n1418234201\t2.620000\n1418234801\t2.750000\n1418235417\t2.690000\n1418236017\t2.620000\n1418236618\t2.690000\n1418237218\t2.620000\n1418237819\t2.560000\n1418238419\t2.560000\n1418239020\t2.560000\n1418239620\t2.560000\n1418240221\t2.560000\n1418240821\t2.500000\n1418241422\t2.500000\n1418242022\t2.560000\n1418242623\t2.620000\n1418243224\t2.690000\n1418243824\t2.690000\n1418244425\t2.810000\n1418245025\t2.880000\n1418245626\t2.440000\n1418246226\t2.750000\n1418246827\t2.940000\n1418247427\t3.120000\n1418248028\t3.310000\n1418248628\t3.380000\n1418249229\t3.500000\n1418249829\t3.620000\n1418250430\t3.750000\n1418251030\t3.500000\n1418251631\t3.560000\n1418252231\t3.500000\n1418252832\t3.440000\n1418253448\t3.380000\n1418254048\t3.380000\n1418254649\t3.560000\n1418255249\t3.750000\n1418255850\t3.620000\n1418256450\t3.500000\n1418257051\t3.500000\n1418257651\t3.560000\n1418258252\t3.750000\n1418258852\t3.750000\n1418259453\t3.940000\n1418260053\t3.750000\n1418260654\t3.750000\n1418261254\t3.620000\n1418261855\t3.560000\n1418262456\t3.560000\n1418263056\t3.380000\n1418263657\t3.310000\n1418264257\t3.190000\n1418264858\t3.190000\n1418265458\t3.380000\n1418266059\t3.440000\n1418266659\t3.380000\n1418267260\t3.440000\n1418267860\t3.440000\n1418268461\t3.500000\n1418269061\t3.500000\n1418269677\t3.380000\n1418270277\t3.440000\n1418270878\t3.620000\n1418271478\t3.690000\n1418272079\t3.620000\n1418272680\t3.560000\n1418273280\t3.620000\n1418273881\t3.500000\n1418274481\t3.380000\n1418275082\t3.440000\n1418275682\t3.250000\n1418276283\t3.190000\n1418276883\t3.120000\n1418277484\t2.880000\n1418278084\t2.880000\n1418278685\t2.810000\n1418279285\t2.750000\n1418279886\t2.810000\n1418280486\t2.620000\n1418281087\t2.690000\n1418281687\t2.690000\n1418282288\t2.620000\n1418282888\t2.690000\n1418283489\t2.620000\n1418284089\t2.560000\n1418284690\t2.560000\n1418285290\t2.500000\n1418285891\t2.620000\n1418286491\t2.690000\n1418287092\t2.750000\n1418287708\t2.750000\n1418288308\t2.620000\n1418288909\t2.690000\n1418289509\t2.880000\n1418290110\t2.750000\n1418290710\t2.880000\n1418291311\t2.940000\n1418291911\t2.880000\n1418292512\t3.000000\n1418293112\t3.120000\n1418293713\t3.190000\n1418294313\t3.250000\n1418294914\t3.310000\n1418295514\t3.380000\n1418296115\t3.500000\n1418296715\t3.500000\n1418297316\t3.560000\n1418297916\t3.560000\n1418298517\t3.560000\n1418299118\t3.560000\n1418299718\t3.500000\n1418300319\t3.500000\n1418300919\t3.500000\n1418301520\t3.440000\n1418302120\t3.310000\n1418302721\t3.190000\n1418303321\t3.060000\n1418303922\t2.940000\n1418304537\t2.750000\n1418305138\t2.620000\n1418305738\t2.560000\n1418306339\t2.380000\n1418306939\t2.250000\n1418307540\t2.120000\n1418308140\t2.060000\n1418308741\t2.120000\n1418309341\t2.190000\n1418309942\t2.250000\n1418310542\t2.310000\n1418311143\t2.250000\n1418311744\t2.190000\n1418312344\t2.380000\n1418312945\t2.440000\n1418313545\t2.560000\n1418314146\t2.440000\n1418314746\t2.250000\n1418315347\t2.190000\n1418315947\t2.190000\n1418316548\t2.310000\n1418317148\t2.380000\n1418317749\t2.500000\n1418318350\t2.500000\n1418318950\t2.310000\n1418319551\t2.190000\n1418320151\t2.120000\n1418320752\t2.060000\n1418321352\t2.000000\n1418321953\t1.940000\n1418322553\t1.880000\n1418323154\t1.810000\n1418323769\t1.880000\n1418324370\t2.000000\n1418324970\t2.060000\n1418325571\t2.190000\n1418326171\t2.190000\n1418326772\t2.120000\n1418327373\t2.120000\n1418327973\t2.120000\n1418328574\t2.190000\n1418329174\t2.190000\n1418329775\t2.120000\n1418330375\t2.120000\n1418330976\t2.120000\n1418331576\t2.060000\n1418332177\t2.060000\n1418332778\t2.060000\n1418333378\t2.060000\n1418333979\t2.060000\n1418334579\t2.120000\n1418335180\t2.060000\n1418335780\t2.120000\n1418336381\t2.190000\n1418336981\t2.060000\n1418337582\t2.120000\n1418338182\t2.120000\n1418338783\t2.250000\n1418339383\t2.250000\n1418339984\t2.250000\n1418340585\t2.250000\n1418341185\t2.250000\n1418341786\t2.250000\n1418342401\t2.250000\n1418343002\t2.250000\n1418343602\t2.310000\n1418344203\t2.310000\n1418344803\t2.310000\n1418345404\t2.310000\n1418346004\t2.380000\n1418346605\t2.380000\n1418347205\t2.250000\n1418347806\t2.190000\n1418348407\t2.250000\n1418349007\t2.310000\n1418349608\t2.380000\n1418350208\t2.250000\n1418350809\t2.250000\n1418351409\t2.250000\n1418352010\t2.310000\n1418352610\t2.380000\n1418353211\t2.500000\n1418353811\t2.690000\n1418354412\t2.810000\n1418355012\t2.810000\n1418355613\t2.810000\n1418356214\t2.880000\n1418356814\t2.940000\n1418357415\t2.880000\n1418358015\t2.810000\n1418358616\t2.750000\n1418359216\t2.750000\n1418359817\t2.620000\n1418360417\t2.500000\n1418361033\t2.500000\n1418361633\t2.440000\n1418362234\t2.500000\n1418362834\t2.500000\n1418363435\t2.500000\n1418364035\t2.440000\n1418364636\t2.440000\n1418365237\t2.440000\n1418365837\t2.440000\n1418366438\t2.440000\n1418367038\t2.380000\n1418367639\t2.380000\n1418368239\t2.380000\n1418368840\t2.380000\n1418369440\t2.380000\n1418370041\t2.380000\n1418370641\t2.380000\n1418371242\t2.440000\n1418371842\t2.440000\n1418372443\t2.500000\n1418373044\t2.500000\n1418373644\t2.440000\n1418374245\t2.500000\n1418374845\t2.560000\n1418375446\t2.620000\n1418376046\t2.690000\n1418376647\t2.810000\n1418377247\t2.880000\n1418377848\t2.940000\n1418378464\t3.000000\n1418379064\t3.120000\n1418379665\t3.190000\n1418380265\t3.120000\n1418380866\t3.190000\n1418381466\t3.190000\n1418382067\t3.060000\n1418382667\t3.060000\n1418383268\t3.000000\n1418383868\t3.000000\n1418384469\t3.000000\n1418385070\t3.060000\n1418385670\t3.120000\n1418386271\t3.120000\n1418386871\t2.940000\n1418387472\t2.880000\n1418388072\t2.810000\n1418388673\t2.750000\n1418389273\t2.620000\n1418389874\t2.380000\n1418390474\t2.310000\n1418391075\t2.120000\n1418391675\t2.060000\n1418392276\t1.880000\n1418392877\t1.750000\n1418393477\t1.690000\n1418394078\t1.750000\n1418394678\t1.810000\n1418395279\t1.880000\n1418395879\t1.880000\n1418396480\t1.750000\n1418397095\t1.690000\n1418397696\t1.560000\n1418398296\t1.440000\n1418398897\t1.310000\n1418399497\t1.060000\n1418400098\t1.000000\n1418400699\t1.000000\n1418401299\t0.940000\n1418401900\t0.880000\n1418402500\t0.810000\n1418403101\t0.750000\n1418403701\t0.750000\n1418404302\t0.750000\n1418404902\t0.810000\n1418405503\t0.810000\n1418406103\t0.750000\n1418406704\t0.810000\n1418407304\t0.810000\n1418407905\t0.880000\n1418408506\t0.940000\n1418409106\t1.000000\n1418409707\t1.000000\n1418410307\t1.060000\n1418410908\t1.000000\n1418411508\t1.060000\n1418412109\t1.060000\n1418412709\t1.060000\n1418413310\t1.060000\n1418413910\t1.120000\n1418414511\t1.000000\n1418415112\t1.000000\n1418415727\t1.060000\n1418416328\t1.000000\n1418416928\t1.000000\n1418417529\t0.940000\n1418418129\t1.000000\n1418418730\t0.940000\n1418419330\t0.880000\n1418419931\t0.880000\n1418420531\t0.880000\n1418421132\t0.810000\n1418421733\t0.750000\n1418422333\t0.750000\n1418422934\t0.750000\n1418423534\t0.750000\n1418424135\t0.750000\n1418424735\t0.690000\n1418425336\t0.690000\n1418425936\t0.750000\n1418426537\t0.750000\n1418427137\t0.690000\n1418427738\t0.620000\n1418428338\t0.620000\n1418428939\t0.620000\n1418429539\t0.620000\n1418430140\t0.690000\n1418430740\t0.690000\n1418431341\t0.750000\n1418431941\t0.690000\n1418432542\t0.810000\n1418433143\t0.810000\n1418433743\t0.880000\n1418434359\t0.880000\n1418434959\t0.880000\n1418435560\t0.880000\n1418436160\t0.940000\n1418436761\t0.880000\n1418437361\t0.880000\n1418437962\t0.880000\n1418438563\t0.810000\n1418439163\t0.810000\n1418439764\t0.620000\n1418440364\t0.500000\n1418440965\t0.250000\n1418441565\t0.120000\n1418442166\t0.120000\n1418442766\t0.000000\n1418443367\t-0.120000\n1418443967\t-0.060000\n1418444568\t-0.120000\n1418445168\t-0.190000\n1418445769\t-0.190000\n1418446369\t-0.250000\n1418446970\t-0.310000\n1418447571\t-0.440000\n1418448171\t-0.440000\n1418448772\t-0.500000\n1418449372\t-0.380000\n1418449973\t-0.440000\n1418450573\t-0.440000\n1418451174\t-0.440000\n1418451774\t-0.310000\n1418452375\t-0.190000\n1418452990\t-0.190000\n1418453591\t-0.060000\n1418454191\t-0.120000\n1418454792\t-0.060000\n1418455393\t-0.120000\n1418455993\t-0.250000\n1418456594\t-0.250000\n1418457194\t-0.190000\n1418457795\t0.000000\n1418458395\t0.250000\n1418458996\t0.380000\n1418459596\t0.500000\n1418460197\t0.500000\n1418460797\t0.560000\n1418461398\t0.620000\n1418461998\t0.880000\n1418462599\t1.060000\n1418463200\t1.060000\n1418463800\t1.120000\n1418464401\t1.190000\n1418465001\t1.380000\n1418465602\t1.310000\n1418466202\t1.250000\n1418466803\t1.250000\n1418467403\t1.060000\n1418468004\t1.060000\n1418468604\t1.120000\n1418469205\t1.310000\n1418469805\t1.380000\n1418470406\t1.380000\n1418471006\t1.440000\n1418471622\t1.500000\n1418472223\t1.560000\n1418472823\t1.620000\n1418473424\t1.620000\n1418474024\t1.620000\n1418474625\t1.690000\n1418475225\t1.620000\n1418475826\t1.690000\n1418476426\t1.750000\n1418477027\t1.750000\n1418477627\t1.810000\n1418478228\t1.880000\n1418478828\t2.060000\n1418479429\t2.250000\n1418480029\t2.310000\n1418480630\t2.440000\n1418481231\t2.440000\n1418481831\t2.380000\n1418482432\t2.310000\n1418483032\t2.190000\n1418483633\t2.190000\n1418484233\t2.190000\n1418484834\t2.190000\n1418485434\t2.060000\n1418486035\t2.060000\n1418486635\t2.000000\n1418487236\t2.000000\n1418487836\t2.120000\n1418488437\t2.060000\n1418489037\t2.060000\n1418489638\t2.060000\n1418490238\t2.060000\n1418490839\t2.120000\n1418491455\t2.000000\n1418492055\t1.880000\n1418492656\t2.000000\n1418493256\t2.000000\n1418493857\t2.060000\n1418494457\t2.120000\n1418495058\t1.940000\n1418495658\t1.880000\n1418496259\t1.750000\n1418496859\t1.750000\n1418497460\t1.750000\n1418498060\t1.880000\n1418498661\t1.620000\n1418499262\t1.560000\n1418499862\t1.500000\n1418500463\t1.500000\n1418501063\t1.440000\n1418501664\t1.310000\n1418502264\t1.190000\n1418502865\t1.250000\n1418503465\t1.190000\n1418504066\t1.060000\n1418504666\t0.880000\n1418505267\t0.810000\n1418505867\t0.690000\n1418506468\t0.690000\n1418507069\t0.810000\n1418507669\t0.880000\n1418508270\t1.000000\n1418508870\t1.120000\n1418509471\t1.060000\n1418510071\t1.120000\n1418510672\t1.120000\n1418511272\t0.940000\n1418511873\t0.810000\n1418512473\t0.750000\n1418513089\t0.880000\n1418513689\t1.120000\n1418514290\t1.120000\n1418514890\t1.060000\n1418515491\t1.000000\n1418516092\t0.810000\n1418516692\t1.000000\n1418517293\t0.880000\n1418517893\t0.690000\n1418518494\t0.500000\n1418519094\t0.440000\n1418519695\t0.310000\n1418520295\t0.120000\n1418520896\t-0.120000\n1418521496\t-0.190000\n1418522097\t-0.250000\n1418522697\t-0.440000\n1418523298\t-0.190000\n1418523898\t-0.120000\n1418524499\t-0.120000\n1418525100\t-0.120000\n1418525700\t-0.250000\n1418526301\t-0.440000\n1418526901\t-0.500000\n1418527502\t-0.500000\n1418528102\t-0.560000\n1418528703\t-0.500000\n1418529303\t-0.500000\n1418529904\t-0.560000\n1418530504\t-0.620000\n1418531105\t-0.690000\n1418531705\t-0.560000\n1418532306\t-0.380000\n1418532922\t-0.440000\n1418533522\t-0.560000\n1418534123\t-0.620000\n1418534723\t-0.810000\n1418535324\t-0.940000\n1418535924\t-1.060000\n1418536525\t-1.060000\n1418537125\t-0.880000\n1418537726\t-0.810000\n1418538326\t-0.620000\n1418538927\t-0.750000\n1418539527\t-0.750000\n1418540128\t-0.690000\n1418540728\t-0.810000\n1418541329\t-0.880000\n1418541929\t-0.940000\n1418542530\t-0.880000\n1418543131\t-0.810000\n1418543731\t-0.560000\n1418544332\t-0.560000\n1418544932\t-0.620000\n1418545533\t-0.380000\n1418546133\t-0.120000\n1418546734\t0.380000\n1418547334\t0.620000\n1418547935\t0.880000\n1418548535\t1.000000\n1418549136\t1.190000\n1418549736\t1.310000\n1418550337\t1.560000\n1418550937\t1.690000\n1418551553\t1.750000\n1418552154\t1.750000\n1418552754\t1.880000\n1418553355\t1.940000\n1418553955\t1.940000\n1418554556\t1.940000\n1418555156\t2.000000\n1418555757\t1.940000\n1418556357\t1.940000\n1418556958\t1.940000\n1418557558\t2.000000\n1418558159\t2.000000\n1418558759\t2.060000\n1418559360\t2.250000\n1418559961\t2.310000\n1418560561\t2.380000\n1418561162\t2.310000\n1418561762\t2.310000\n1418562363\t2.380000\n1418562963\t2.560000\n1418563564\t2.500000\n1418564164\t2.500000\n1418564765\t2.380000\n1418565365\t2.310000\n1418565966\t2.310000\n1418566566\t2.440000\n1418567167\t2.560000\n1418567768\t2.560000\n1418568368\t2.690000\n1418568969\t2.880000\n1418569569\t2.940000\n1418570185\t3.060000\n1418570785\t3.120000\n1418571386\t3.060000\n1418571986\t3.060000\n1418572587\t3.060000\n1418573187\t3.060000\n1418573788\t3.060000\n1418574389\t3.060000\n1418574989\t3.120000\n1418575590\t3.120000\n1418576190\t3.060000\n1418576791\t3.000000\n1418577391\t2.940000\n1418577992\t2.810000\n1418578592\t2.440000\n1418579193\t2.190000\n1418579793\t2.120000\n1418580394\t2.060000\n1418580994\t2.250000\n1418581595\t2.690000\n1418582195\t2.880000\n1418582796\t3.250000\n1418583397\t3.250000\n1418583997\t3.310000\n1418584598\t3.250000\n1418585198\t3.380000\n1418585799\t3.380000\n1418586414\t3.310000\n1418587015\t3.500000\n1418587615\t3.620000\n1418588216\t3.620000\n1418588816\t3.690000\n1418589417\t3.750000\n1418590017\t3.810000\n1418590618\t3.810000\n1418591218\t3.620000\n1418591819\t3.560000\n1418592419\t3.560000\n1418593020\t3.810000\n1418593621\t3.810000\n1418594221\t3.940000\n1418594822\t4.000000\n1418595422\t3.750000\n1418596023\t3.810000\n1418596623\t3.690000\n1418597224\t3.690000\n1418597824\t3.690000\n1418598425\t3.620000\n1418599025\t3.620000\n1418599626\t3.620000\n1418600227\t3.560000\n1418600827\t3.560000\n1418601428\t3.500000\n1418602028\t3.560000\n1418602629\t3.500000\n1418603229\t3.500000\n1418603830\t3.500000\n1418604430\t3.620000\n1418605046\t3.560000\n1418605647\t3.620000\n1418606247\t3.620000\n1418606848\t3.690000\n1418607448\t3.690000\n1418608049\t3.690000\n1418608649\t3.690000\n1418609250\t3.690000\n1418609850\t3.690000\n1418610451\t3.690000\n1418611051\t3.750000\n1418611652\t3.750000\n1418612252\t3.810000\n1418612853\t3.810000\n1418613454\t3.810000\n1418614054\t3.810000\n1418614655\t3.810000\n1418615255\t3.880000\n1418615856\t3.940000\n1418616456\t3.940000\n1418617057\t4.000000\n1418617657\t4.060000\n1418618258\t4.060000\n1418618858\t4.120000\n1418619459\t4.120000\n1418620059\t4.120000\n1418620660\t4.120000\n1418621260\t4.060000\n1418621861\t4.060000\n1418622461\t4.000000\n1418623077\t4.000000\n1418623677\t4.000000\n1418624278\t4.000000\n1418624878\t4.060000\n1418625479\t4.060000\n1418626079\t4.120000\n1418626680\t4.190000\n1418627281\t4.250000\n1418627881\t4.380000\n1418628482\t4.380000\n1418629082\t4.380000\n1418629683\t4.310000\n1418630283\t4.380000\n1418630884\t4.380000\n1418631484\t4.380000\n1418632085\t4.380000\n1418632685\t4.380000\n1418633286\t4.380000\n1418633886\t4.500000\n1418634487\t4.620000\n1418635087\t4.690000\n1418635688\t4.750000\n1418636289\t4.810000\n1418636889\t4.810000\n1418637490\t4.810000\n1418638090\t4.880000\n1418638706\t4.880000\n1418639306\t4.810000\n1418639907\t4.750000\n1418640507\t4.620000\n1418641108\t4.500000\n1418641708\t4.380000\n1418642309\t4.250000\n1418642910\t4.060000\n1418643510\t3.940000\n1418644111\t3.880000\n1418644711\t3.810000\n1418645312\t3.810000\n1418645912\t3.880000\n1418646513\t3.880000\n1418647113\t3.880000\n1418647714\t3.880000\n1418648314\t4.000000\n1418648915\t4.060000\n1418649516\t4.120000\n1418650116\t4.120000\n1418650717\t4.060000\n1418651317\t4.060000\n1418651918\t4.000000\n1418652518\t3.810000\n1418653119\t3.690000\n1418653719\t3.560000\n1418654320\t3.500000\n1418654921\t3.500000\n1418655521\t3.310000\n1418656122\t3.250000\n1418656722\t3.190000\n1418657323\t3.250000\n1418657938\t3.190000\n1418658539\t3.190000\n1418659139\t3.190000\n1418659740\t3.120000\n1418660340\t3.190000\n1418660941\t3.120000\n1418661542\t3.120000\n1418662142\t3.120000\n1418662743\t3.120000\n1418663343\t3.190000\n1418663944\t3.060000\n1418664544\t3.060000\n1418665145\t3.060000\n1418665745\t3.060000\n1418666346\t3.120000\n1418666946\t3.120000\n1418667547\t3.120000\n1418668147\t3.060000\n1418668748\t3.000000\n1418669349\t3.000000\n1418669949\t2.940000\n1418670550\t2.940000\n1418671150\t3.000000\n1418671751\t3.060000\n1418672351\t3.190000\n1418672952\t3.250000\n1418673552\t3.310000\n1418674153\t3.310000\n1418674754\t3.310000\n1418675354\t3.380000\n1418675955\t3.310000\n1418676555\t3.190000\n1418677171\t3.190000\n1418677771\t3.250000\n1418678372\t3.310000\n1418678972\t3.380000\n1418679573\t3.310000\n1418680173\t3.250000\n1418680774\t3.190000\n1418681374\t3.060000\n1418681975\t2.940000\n1418682575\t2.880000\n1418683176\t2.750000\n1418683776\t2.750000\n1418684377\t2.560000\n1418684977\t2.560000\n1418685578\t2.560000\n1418686178\t2.620000\n1418686779\t2.750000\n1418687379\t2.750000\n1418687980\t2.690000\n1418688581\t2.620000\n1418689181\t2.500000\n1418689782\t2.440000\n1418690382\t2.190000\n1418690983\t2.190000\n1418691583\t2.000000\n1418692184\t1.940000\n1418692784\t1.940000\n1418693385\t1.810000\n1418693985\t1.750000\n1418694586\t1.560000\n1418695201\t1.500000\n1418695802\t1.500000\n1418696402\t1.440000\n1418697003\t1.440000\n1418697604\t1.500000\n1418698204\t1.440000\n1418698805\t1.440000\n1418699405\t1.440000\n1418700006\t1.380000\n1418700606\t1.310000\n1418701207\t1.310000\n1418701807\t1.120000\n1418702408\t0.940000\n1418703008\t0.940000\n1418703609\t0.880000\n1418704210\t0.940000\n1418704810\t0.940000\n1418705411\t0.880000\n1418706011\t0.810000\n1418706612\t0.750000\n1418707212\t0.750000\n1418707813\t0.750000\n1418708413\t0.690000\n1418709014\t0.690000\n1418709614\t0.690000\n1418710215\t0.440000\n1418710815\t0.310000\n1418711431\t0.250000\n1418712031\t0.190000\n1418712632\t0.440000\n1418713233\t0.560000\n1418713833\t0.620000\n1418714434\t0.620000\n1418715034\t0.690000\n1418715635\t0.690000\n1418716235\t0.690000\n1418716836\t0.620000\n1418717436\t0.560000\n1418718037\t0.500000\n1418718637\t0.560000\n1418719238\t0.560000\n1418719838\t0.620000\n1418720439\t0.690000\n1418721039\t0.810000\n1418721640\t0.880000\n1418722241\t1.000000\n1418722841\t1.190000\n1418723442\t1.310000\n1418724042\t1.310000\n1418724643\t1.380000\n1418725243\t1.500000\n1418725844\t1.310000\n1418726444\t1.310000\n1418727045\t1.500000\n1418727645\t1.560000\n1418728246\t1.440000\n1418728846\t1.380000\n1418729447\t1.440000\n1418730048\t1.690000\n1418730663\t1.620000\n1418731264\t1.810000\n1418731864\t1.810000\n1418732465\t1.690000\n1418733065\t1.620000\n1418733666\t1.560000\n1418734266\t1.500000\n1418734867\t1.440000\n1418735468\t1.440000\n1418736068\t1.380000\n1418736669\t1.380000\n1418737269\t1.380000\n1418737870\t1.440000\n1418738470\t1.440000\n1418739071\t1.440000\n1418739671\t1.440000\n1418740272\t1.440000\n1418740872\t1.440000\n1418741473\t1.500000\n1418742073\t1.500000\n1418742674\t1.560000\n1418743274\t1.500000\n1418743875\t1.500000\n1418744476\t1.440000\n1418745076\t1.500000\n1418745677\t1.560000\n1418746277\t1.500000\n1418746878\t1.560000\n1418747478\t1.500000\n1418748079\t1.500000\n1418748679\t1.500000\n1418749295\t1.500000\n1418749896\t1.500000\n1418750496\t1.500000\n1418751097\t1.440000\n1418751697\t1.380000\n1418752298\t1.310000\n1418752898\t1.190000\n1418753499\t1.120000\n1418754099\t1.120000\n1418754700\t1.060000\n1418755300\t0.940000\n1418755901\t0.810000\n1418756501\t0.810000\n1418757102\t0.750000\n1418757703\t0.750000\n1418758303\t0.690000\n1418758904\t0.750000\n1418759504\t0.810000\n1418760105\t0.690000\n1418760705\t0.750000\n1418761306\t0.690000\n1418761906\t0.620000\n1418762507\t0.560000\n1418763107\t0.500000\n1418763708\t0.560000\n1418764308\t0.620000\n1418764909\t0.560000\n1418765509\t0.440000\n1418766110\t0.440000\n1418766725\t0.440000\n1418767326\t0.500000\n1418767927\t0.560000\n1418768527\t0.380000\n1418769128\t0.250000\n1418769728\t0.310000\n1418770329\t0.440000\n1418770929\t0.620000\n1418771530\t0.750000\n1418772130\t0.810000\n1418772731\t0.940000\n1418773331\t0.940000\n1418773932\t0.940000\n1418774533\t0.940000\n1418775133\t1.060000\n1418775734\t1.000000\n1418776334\t1.000000\n1418776935\t1.000000\n1418777535\t1.120000\n1418778136\t1.250000\n1418778736\t1.250000\n1418779337\t1.250000\n1418779937\t1.310000\n1418780538\t1.250000\n1418781138\t1.310000\n1418781739\t1.310000\n1418782339\t1.310000\n1418782940\t1.250000\n1418783540\t1.250000\n1418784141\t1.250000\n1418784757\t1.310000\n1418785357\t1.310000\n1418785958\t1.310000\n1418786558\t1.250000\n1418787159\t1.250000\n1418787759\t1.250000\n1418788360\t1.190000\n1418788960\t1.060000\n1418789561\t1.120000\n1418790161\t1.060000\n1418790762\t1.060000\n1418791363\t1.120000\n1418791963\t1.120000\n1418792564\t1.120000\n1418793164\t1.190000\n1418793765\t1.120000\n1418794365\t1.120000\n1418794966\t1.120000\n1418795566\t1.120000\n1418796167\t1.060000\n1418796767\t1.120000\n1418797368\t1.190000\n1418797968\t1.190000\n1418798569\t1.190000\n1418799169\t1.120000\n1418799770\t1.000000\n1418800370\t0.940000\n1418800971\t0.810000\n1418801571\t0.620000\n1418802172\t0.560000\n1418802773\t0.500000\n1418803388\t0.380000\n1418803989\t0.310000\n1418804589\t0.310000\n1418805190\t0.380000\n1418805790\t0.440000\n1418806391\t0.440000\n1418806991\t0.440000\n1418807592\t0.380000\n1418808192\t0.440000\n1418808793\t0.310000\n1418809394\t0.250000\n1418809994\t0.120000\n1418810595\t0.120000\n1418811195\t0.000000\n1418811796\t0.120000\n1418812396\t0.310000\n1418812997\t0.380000\n1418813597\t0.380000\n1418814198\t0.380000\n1418814798\t0.440000\n1418815399\t0.500000\n1418815999\t0.560000\n1418816600\t0.560000\n1418817201\t0.560000\n1418817801\t0.560000\n1418818402\t0.500000\n1418819002\t0.440000\n1418819603\t0.440000\n1418820203\t0.440000\n1418820804\t0.310000\n1418821404\t0.250000\n1418822020\t0.120000\n1418822620\t-0.120000\n1418823221\t-0.380000\n1418823822\t-0.560000\n1418824422\t-0.750000\n1418825023\t-0.810000\n1418825623\t-0.940000\n1418826224\t-1.000000\n1418826824\t-1.120000\n1418827425\t-1.250000\n1418828025\t-1.440000\n1418828626\t-1.750000\n1418829226\t-1.620000\n1418829827\t-1.880000\n1418830427\t-1.940000\n1418831028\t-2.000000\n1418831628\t-2.000000\n1418832229\t-2.000000\n1418832830\t-2.250000\n1418833430\t-2.250000\n1418834031\t-2.310000\n1418834631\t-2.690000\n1418835232\t-2.560000\n1418835832\t-2.500000\n1418836433\t-2.440000\n1418837033\t-2.690000\n1418837634\t-2.750000\n1418838234\t-2.940000\n1418838835\t-2.880000\n1418839435\t-2.880000\n1418840036\t-2.940000\n1418840651\t-3.120000\n1418841252\t-3.190000\n1418841853\t-3.000000\n1418842453\t-3.060000\n1418843054\t-3.060000\n1418843654\t-3.190000\n1418844255\t-3.120000\n1418844855\t-3.250000\n1418845456\t-2.940000\n1418846056\t-2.880000\n1418846657\t-2.620000\n1418847257\t-2.560000\n1418847858\t-2.440000\n1418848458\t-2.310000\n1418849059\t-2.190000\n1418849660\t-2.190000\n1418850260\t-2.120000\n1418850861\t-2.060000\n1418851461\t-2.120000\n1418852062\t-2.060000\n1418852662\t-2.060000\n1418853263\t-2.120000\n1418853863\t-2.060000\n1418854464\t-2.060000\n1418855064\t-2.060000\n1418855665\t-2.000000\n1418856265\t-2.120000\n1418856866\t-2.190000\n1418857467\t-2.120000\n1418858067\t-2.380000\n1418858668\t-2.250000\n1418859283\t-2.310000\n1418859884\t-2.380000\n1418860484\t-2.190000\n1418861085\t-2.250000\n1418861685\t-2.250000\n1418862286\t-2.560000\n1418862886\t-2.620000\n1418863487\t-2.690000\n1418864087\t-2.620000\n1418864688\t-2.440000\n1418865289\t-2.440000\n1418865889\t-2.380000\n1418866490\t-2.380000\n1418867090\t-2.250000\n1418867691\t-2.190000\n1418868291\t-2.060000\n1418868892\t-1.810000\n1418869492\t-1.560000\n1418870093\t-1.380000\n1418870693\t-1.250000\n1418871294\t-1.000000\n1418871894\t-0.750000\n1418872495\t-0.560000\n1418873096\t-0.380000\n1418873696\t-0.310000\n1418874312\t-0.190000\n1418874912\t-0.120000\n1418875513\t-0.120000\n1418876113\t-0.120000\n1418876714\t-0.060000\n1418877314\t0.120000\n1418877915\t0.190000\n1418878515\t0.250000\n1418879116\t0.250000\n1418879717\t0.380000\n1418880317\t0.440000\n1418880918\t0.500000\n1418881518\t0.620000\n1418882119\t0.690000\n1418882719\t0.750000\n1418883320\t0.880000\n1418883920\t0.810000\n1418884521\t0.880000\n1418885122\t0.940000\n1418885722\t0.940000\n1418886323\t1.000000\n1418886923\t1.060000\n1418887524\t1.120000\n1418888124\t1.120000\n1418888725\t1.250000\n1418889325\t1.440000\n1418889926\t1.690000\n1418890526\t1.750000\n1418891127\t1.810000\n1418891727\t1.940000\n1418892328\t2.060000\n1418892928\t2.190000\n1418893544\t2.500000\n1418894144\t2.690000\n1418894745\t2.750000\n1418895346\t2.810000\n1418895946\t3.000000\n1418896547\t3.120000\n1418897147\t3.190000\n1418897748\t3.440000\n1418898348\t3.440000\n1418898949\t3.500000\n1418899549\t3.560000\n1418900150\t3.620000\n1418900750\t3.620000\n1418901351\t3.690000\n1418901951\t3.690000\n1418902552\t3.690000\n1418903153\t3.750000\n1418903753\t3.810000\n1418904354\t3.880000\n1418904954\t3.880000\n1418905555\t4.000000\n1418906155\t4.060000\n1418906756\t4.120000\n1418907356\t4.060000\n1418907957\t4.060000\n1418908557\t4.000000\n1418909158\t4.120000\n1418909759\t4.060000\n1418910359\t4.060000\n1418910960\t4.060000\n1418911560\t4.060000\n1418912161\t4.000000\n1418912761\t3.880000\n1418913362\t3.750000\n1418913962\t3.500000\n1418914578\t3.560000\n1418915178\t3.750000\n1418915779\t3.810000\n1418916379\t3.940000\n1418916980\t3.690000\n1418917581\t3.500000\n1418918181\t3.310000\n1418918782\t3.310000\n1418919382\t3.310000\n1418919983\t3.310000\n1418920583\t3.250000\n1418921184\t3.190000\n1418921784\t3.120000\n1418922385\t3.060000\n1418922985\t3.190000\n1418923586\t3.190000\n1418924186\t3.250000\n1418924787\t3.250000\n1418925387\t3.310000\n1418925988\t3.440000\n1418926589\t3.440000\n1418927189\t3.500000\n1418927790\t3.500000\n1418928390\t3.440000\n1418928991\t3.440000\n1418929591\t3.440000\n1418930192\t3.380000\n1418930792\t3.380000\n1418931393\t3.310000\n1418931993\t3.500000\n1418932594\t3.690000\n1418933194\t3.620000\n1418933795\t3.500000\n1418934410\t3.500000\n1418935011\t3.500000\n1418935611\t3.500000\n1418936212\t3.810000\n1418936812\t4.000000\n1418937413\t4.060000\n1418938014\t4.060000\n1418938614\t4.000000\n1418939215\t3.880000\n1418939815\t3.810000\n1418940416\t3.810000\n1418941016\t3.690000\n1418941617\t3.690000\n1418942217\t3.750000\n1418942818\t3.750000\n1418943418\t3.620000\n1418944019\t3.690000\n1418944620\t3.690000\n1418945220\t3.750000\n1418945821\t3.750000\n1418946421\t3.750000\n1418947022\t3.810000\n1418947622\t3.750000\n1418948223\t3.750000\n1418948823\t3.690000\n1418949424\t3.690000\n1418950024\t3.620000\n1418950625\t3.620000\n1418951225\t3.690000\n1418951826\t3.810000\n1418952442\t3.880000\n1418953042\t3.940000\n1418953643\t3.940000\n1418954243\t4.000000\n1418954844\t4.060000\n1418955444\t4.060000\n1418956045\t4.190000\n1418956645\t4.250000\n1418957246\t4.500000\n1418957846\t4.310000\n1418958447\t4.120000\n1418959047\t4.380000\n1418959648\t4.440000\n1418960248\t4.500000\n1418960849\t4.500000\n1418961449\t4.620000\n1418962050\t4.690000\n1418962650\t4.750000\n1418963251\t4.810000\n1418963852\t4.810000\n1418964452\t5.000000\n1418965053\t5.000000\n1418965653\t5.000000\n1418966254\t5.190000\n1418966854\t5.310000\n1418967455\t5.380000\n1418968055\t5.310000\n1418968656\t5.250000\n1418969256\t5.190000\n1418969857\t5.190000\n1418970457\t5.060000\n1418971073\t5.000000\n1418971674\t5.060000\n1418972274\t5.060000\n1418972875\t5.120000\n1418973475\t5.120000\n1418974076\t5.190000\n1418974676\t5.190000\n1418975277\t5.250000\n1418975877\t5.190000\n1418976478\t5.120000\n1418977078\t5.120000\n1418977679\t5.190000\n1418978279\t5.120000\n1418978880\t5.250000\n1418979481\t5.190000\n1418980081\t5.250000\n1418980682\t5.310000\n1418981282\t5.440000\n1418981883\t5.380000\n1418982483\t5.380000\n1418983084\t5.380000\n1418983684\t5.440000\n1418984285\t5.380000\n1418984885\t5.500000\n1418985486\t5.440000\n1418986086\t5.500000\n1418986687\t5.250000\n1418987287\t5.500000\n1418987888\t5.440000\n1418988504\t5.380000\n1418989104\t5.440000\n1418989705\t5.500000\n1418990305\t5.250000\n1418990906\t5.250000\n1418991506\t5.500000\n1418992107\t5.380000\n1418992707\t5.380000\n1418993308\t5.380000\n1418993909\t5.190000\n1418994509\t5.060000\n1418995110\t4.940000\n1418995710\t4.690000\n1418996311\t4.560000\n1418996911\t4.310000\n1418997512\t4.310000\n1418998112\t4.250000\n1418998713\t4.190000\n1418999313\t4.060000\n1418999914\t4.000000\n1419000514\t4.060000\n1419001115\t4.120000\n1419001715\t4.060000\n1419002316\t4.060000\n1419002916\t4.000000\n1419003517\t3.940000\n1419004118\t3.880000\n1419004718\t3.810000\n1419005319\t3.750000\n1419005919\t3.750000\n1419006520\t3.690000\n1419007135\t3.620000\n1419007736\t3.620000\n1419008336\t3.690000\n1419008937\t3.690000\n1419009537\t3.690000\n1419010138\t3.560000\n1419010738\t3.440000\n1419011339\t3.380000\n1419011940\t3.380000\n1419012540\t3.310000\n1419013141\t3.380000\n1419013741\t3.310000\n1419014342\t3.310000\n1419014942\t3.380000\n1419015543\t3.190000\n1419016143\t3.250000\n1419016744\t3.190000\n1419017344\t3.120000\n1419017945\t3.060000\n1419018545\t3.000000\n1419019146\t2.940000\n1419019747\t2.880000\n1419020347\t2.880000\n1419020948\t2.940000\n1419021548\t2.880000\n1419022149\t2.810000\n1419022749\t2.810000\n1419023350\t2.690000\n1419023950\t2.560000\n1419024551\t2.560000\n1419025151\t2.500000\n1419025767\t2.560000\n1419026367\t2.750000\n1419026968\t2.940000\n1419027569\t3.060000\n1419028169\t3.440000\n1419028770\t3.560000\n1419029370\t3.750000\n1419029971\t3.620000\n1419030571\t3.690000\n1419031172\t3.880000\n1419031772\t4.000000\n1419032373\t3.810000\n1419032973\t3.940000\n1419033574\t3.880000\n1419034175\t3.810000\n1419034775\t3.620000\n1419035376\t3.440000\n1419035976\t3.380000\n1419036577\t3.380000\n1419037177\t3.190000\n1419037778\t3.250000\n1419038378\t3.310000\n1419038979\t3.310000\n1419039579\t3.250000\n1419040180\t3.120000\n1419040780\t3.060000\n1419041381\t3.190000\n1419041981\t3.250000\n1419042582\t3.500000\n1419043198\t3.880000\n1419043798\t4.000000\n1419044399\t4.120000\n1419044999\t4.190000\n1419045600\t4.120000\n1419046200\t4.060000\n1419046801\t4.120000\n1419047401\t4.000000\n1419048002\t3.880000\n1419048602\t3.940000\n1419049203\t3.940000\n1419049803\t4.060000\n1419050404\t4.190000\n1419051005\t4.310000\n1419051605\t4.310000\n1419052206\t4.380000\n1419052806\t4.060000\n1419053407\t3.810000\n1419054007\t3.620000\n1419054608\t3.380000\n1419055208\t3.190000\n1419055809\t3.000000\n1419056409\t2.750000\n1419057010\t2.620000\n1419057611\t2.500000\n1419058211\t2.620000\n1419058812\t2.560000\n1419059412\t2.440000\n1419060013\t2.250000\n1419060628\t2.190000\n1419061229\t2.120000\n1419061829\t2.000000\n1419062430\t2.000000\n1419063031\t2.000000\n1419063631\t2.120000\n1419064232\t2.190000\n1419064832\t2.250000\n1419065433\t2.380000\n1419066033\t2.500000\n1419066634\t2.560000\n1419067234\t2.560000\n1419067835\t2.690000\n1419068435\t2.880000\n1419069036\t2.940000\n1419069636\t3.120000\n1419070237\t3.190000\n1419070837\t3.190000\n1419071438\t3.060000\n1419072039\t2.940000\n1419072639\t3.060000\n1419073240\t3.060000\n1419073840\t3.060000\n1419074441\t3.440000\n1419075041\t3.560000\n1419075642\t3.500000\n1419076242\t3.560000\n1419076843\t3.690000\n1419077443\t3.620000\n1419078044\t3.620000\n1419078659\t3.560000\n1419079260\t3.500000\n1419079860\t3.380000\n1419080461\t3.310000\n1419081062\t3.250000\n1419081662\t2.940000\n1419082263\t2.810000\n1419082863\t2.560000\n1419083464\t2.190000\n1419084064\t2.120000\n1419084665\t1.940000\n1419085265\t1.810000\n1419085866\t1.810000\n1419086466\t1.690000\n1419087067\t1.440000\n1419087667\t1.500000\n1419088268\t1.250000\n1419088868\t1.120000\n1419089469\t1.120000\n1419090069\t1.000000\n1419090670\t0.690000\n1419091270\t0.560000\n1419091871\t0.440000\n1419092471\t0.190000\n1419093072\t0.120000\n1419093672\t0.120000\n1419094273\t0.060000\n1419094874\t-0.060000\n1419095489\t-0.250000\n1419096090\t-0.250000\n1419096690\t-0.440000\n1419097291\t-0.440000\n1419097891\t-0.560000\n1419098492\t-0.620000\n1419099092\t-0.690000\n1419099693\t-0.690000\n1419100293\t-0.940000\n1419100894\t-0.940000\n1419101495\t-1.120000\n1419102095\t-1.190000\n1419102696\t-1.120000\n1419103296\t-1.190000\n1419103897\t-1.120000\n1419104497\t-1.250000\n1419105098\t-1.310000\n1419105698\t-1.440000\n1419106299\t-1.560000\n1419106899\t-1.500000\n1419107500\t-1.690000\n1419108100\t-1.750000\n1419108701\t-2.000000\n1419109301\t-1.880000\n1419109902\t-1.750000\n1419110503\t-1.620000\n1419111103\t-1.620000\n1419111719\t-1.620000\n1419112319\t-1.560000\n1419112920\t-1.750000\n1419113520\t-2.060000\n1419114121\t-2.120000\n1419114721\t-2.250000\n1419115322\t-2.250000\n1419115922\t-2.310000\n1419116523\t-2.310000\n1419117123\t-2.250000\n1419117724\t-2.310000\n1419118325\t-2.250000\n1419118925\t-2.190000\n1419119526\t-2.120000\n1419120126\t-2.060000\n1419120727\t-2.120000\n1419121327\t-2.060000\n1419121928\t-1.940000\n1419122528\t-1.810000\n1419123129\t-1.880000\n1419123729\t-2.000000\n1419124330\t-1.940000\n1419124930\t-1.940000\n1419125531\t-1.940000\n1419126131\t-1.880000\n1419126732\t-1.940000\n1419127333\t-1.810000\n1419127933\t-1.750000\n1419128534\t-1.880000\n1419129134\t-1.810000\n1419129750\t-1.810000\n1419130350\t-1.810000\n1419130951\t-1.940000\n1419131551\t-2.120000\n1419132152\t-2.060000\n1419132752\t-1.940000\n1419133353\t-2.000000\n1419133953\t-2.060000\n1419134554\t-2.060000\n1419135154\t-2.060000\n1419135755\t-2.190000\n1419136356\t-2.310000\n1419136956\t-2.310000\n1419137557\t-2.250000\n1419138157\t-2.120000\n1419138758\t-2.310000\n1419139358\t-2.560000\n1419139959\t-2.880000\n1419140559\t-3.000000\n1419141160\t-2.560000\n1419141760\t-2.500000\n1419142361\t-2.440000\n1419142961\t-2.380000\n1419143562\t-2.310000\n1419144162\t-2.190000\n1419144763\t-2.310000\n1419145364\t-2.440000\n1419145964\t-2.750000\n1419146580\t-2.620000\n1419147180\t-2.690000\n1419147781\t-2.560000\n1419148381\t-2.690000\n1419148982\t-2.500000\n1419149582\t-2.500000\n1419150183\t-2.620000\n1419150783\t-2.620000\n1419151384\t-2.310000\n1419151985\t-2.060000\n1419152585\t-1.880000\n1419153186\t-1.690000\n1419153786\t-1.620000\n1419154387\t-1.500000\n1419154987\t-1.250000\n1419155588\t-1.120000\n1419156188\t-1.000000\n1419156789\t-0.940000\n1419157389\t-0.690000\n1419157990\t-0.620000\n1419158590\t-0.500000\n1419159191\t-0.620000\n1419159792\t-0.690000\n1419160392\t-0.750000\n1419160993\t-0.810000\n1419161593\t-0.750000\n1419162194\t-0.810000\n1419162794\t-0.620000\n1419163395\t-0.690000\n1419163995\t-0.750000\n1419164596\t-0.940000\n1419165211\t-0.880000\n1419165812\t-0.750000\n1419166412\t-0.810000\n1419167013\t-0.880000\n1419167614\t-0.810000\n1419168214\t-0.810000\n1419168815\t-1.000000\n1419169415\t-0.940000\n1419170016\t-0.940000\n1419170616\t-0.940000\n1419171217\t-0.880000\n1419171817\t-0.940000\n1419172418\t-0.940000\n1419173018\t-1.000000\n1419173619\t-1.060000\n1419174220\t-1.120000\n1419174820\t-1.310000\n1419175421\t-1.250000\n1419176021\t-1.250000\n1419176622\t-1.380000\n1419177222\t-1.380000\n1419177823\t-1.380000\n1419178423\t-1.440000\n1419179024\t-1.690000\n1419179624\t-1.810000\n1419180225\t-1.750000\n1419180825\t-1.620000\n1419181426\t-1.620000\n1419182027\t-1.620000\n1419182627\t-1.620000\n1419183228\t-1.690000\n1419183843\t-1.620000\n1419184444\t-1.500000\n1419185044\t-1.380000\n1419185645\t-1.440000\n1419186245\t-1.440000\n1419186846\t-1.440000\n1419187446\t-1.440000\n1419188047\t-1.380000\n1419188648\t-1.250000\n1419189248\t-1.190000\n1419189849\t-1.120000\n1419190449\t-0.940000\n1419191050\t-0.880000\n1419191650\t-0.750000\n1419192251\t-0.750000\n1419192851\t-0.690000\n1419193452\t-0.620000\n1419194052\t-0.560000\n1419194653\t-0.440000\n1419195253\t-0.250000\n1419195854\t-0.250000\n1419196455\t-0.120000\n1419197055\t-0.060000\n1419197656\t0.000000\n1419198256\t0.060000\n1419198857\t0.120000\n1419199457\t0.190000\n1419200058\t0.120000\n1419200658\t0.190000\n1419201259\t0.190000\n1419201859\t0.250000\n1419202460\t0.310000\n1419203075\t0.440000\n1419203676\t0.500000\n1419204276\t0.500000\n1419204877\t0.560000\n1419205478\t0.690000\n1419206078\t0.620000\n1419206679\t0.560000\n1419207279\t0.690000\n1419207880\t0.690000\n1419208480\t0.810000\n1419209081\t0.810000\n1419209681\t0.880000\n1419210282\t0.880000\n1419210882\t0.940000\n1419211483\t0.880000\n1419212084\t1.000000\n1419212684\t1.060000\n1419213285\t1.060000\n1419213885\t1.060000\n1419214485\t1.060000\n1419215086\t1.120000\n1419215686\t1.190000\n1419216287\t1.190000\n1419216888\t1.250000\n1419217488\t1.310000\n1419218089\t1.250000\n1419218689\t1.250000\n1419219290\t1.250000\n1419219890\t1.380000\n1419220506\t1.380000\n1419221106\t1.620000\n1419221707\t1.880000\n1419222308\t1.880000\n1419222908\t1.940000\n1419223509\t1.940000\n1419224109\t1.560000\n1419224710\t1.440000\n1419225310\t1.620000\n1419225911\t1.440000\n1419226511\t1.310000\n1419227112\t1.190000\n1419227712\t1.190000\n1419228313\t1.190000\n1419228914\t1.120000\n1419229514\t1.120000\n1419230115\t1.190000\n1419230715\t1.120000\n1419231316\t1.120000\n1419231916\t1.120000\n1419232517\t1.120000\n1419233117\t1.120000\n1419233718\t1.060000\n1419234318\t1.120000\n1419234919\t1.060000\n1419235519\t1.060000\n1419236120\t0.940000\n1419236721\t1.060000\n1419237321\t0.940000\n1419237922\t1.250000\n1419238522\t1.250000\n1419239138\t1.620000\n1419239738\t1.880000\n1419240339\t2.060000\n1419240939\t2.380000\n1419241540\t2.750000\n1419242140\t3.500000\n1419242741\t4.000000\n1419243341\t4.380000\n1419243942\t4.560000\n1419244543\t4.620000\n1419245143\t4.620000\n1419245744\t4.620000\n1419246344\t4.440000\n1419246945\t4.310000\n1419247545\t4.310000\n1419248146\t4.440000\n1419248746\t4.440000\n1419249347\t4.440000\n1419249947\t4.380000\n1419250548\t4.380000\n1419251149\t4.310000\n1419251749\t4.190000\n1419252350\t4.120000\n1419252950\t4.120000\n1419253551\t3.940000\n1419254151\t3.750000\n1419254752\t3.750000\n1419255352\t3.690000\n1419255953\t3.500000\n1419256553\t3.250000\n1419257154\t3.120000\n1419257770\t3.000000\n1419258370\t3.060000\n1419258970\t2.810000\n1419259571\t2.750000\n1419260172\t2.620000\n1419260772\t2.750000\n1419261373\t2.750000\n1419261973\t2.690000\n1419262574\t2.560000\n1419263174\t2.380000\n1419263775\t2.120000\n1419264375\t1.880000\n1419264976\t1.810000\n1419265576\t1.690000\n1419266177\t1.440000\n1419266777\t1.380000\n1419267378\t1.310000\n1419267978\t1.310000\n1419268579\t1.250000\n1419269180\t1.120000\n1419269780\t1.060000\n1419270381\t1.000000\n1419270981\t0.620000\n1419271582\t0.560000\n1419272182\t0.620000\n1419272783\t0.620000\n1419273383\t0.620000\n1419273984\t0.500000\n1419274584\t0.380000\n1419275185\t0.310000\n1419275800\t0.190000\n1419276401\t0.250000\n1419277001\t0.250000\n1419277602\t-0.120000\n1419278202\t-0.190000\n1419278803\t-0.380000\n1419279404\t-0.380000\n1419280004\t-0.380000\n1419280605\t-0.620000\n1419281205\t-0.620000\n1419281806\t-0.560000\n1419282406\t-0.440000\n1419283007\t-0.560000\n1419283607\t-0.380000\n1419284208\t-0.310000\n1419284808\t-0.380000\n1419285409\t-0.440000\n1419286009\t-0.500000\n1419286610\t-0.750000\n1419287211\t-0.810000\n1419287811\t-0.810000\n1419288412\t-0.690000\n1419289012\t-0.250000\n1419289613\t0.190000\n1419290213\t0.060000\n1419290814\t0.060000\n1419291414\t-0.500000\n1419292015\t0.250000\n1419292615\t0.940000\n1419293216\t1.190000\n1419293816\t1.000000\n1419294417\t0.690000\n1419295018\t0.560000\n1419295618\t0.940000\n1419296234\t1.380000\n1419296834\t1.310000\n1419297435\t1.560000\n1419298035\t1.620000\n1419298636\t1.690000\n1419299236\t1.750000\n1419299837\t2.060000\n1419300437\t1.810000\n1419301038\t2.000000\n1419301638\t2.120000\n1419302239\t2.120000\n1419302839\t2.250000\n1419303440\t2.250000\n1419304041\t2.310000\n1419304641\t2.310000\n1419305242\t2.190000\n1419305842\t2.440000\n1419306443\t2.190000\n1419307043\t2.440000\n1419307644\t2.500000\n1419308244\t2.620000\n1419308845\t2.880000\n1419309445\t3.000000\n1419310046\t3.000000\n1419310646\t3.250000\n1419311247\t3.060000\n1419311847\t3.060000\n1419312448\t3.120000\n1419313048\t3.190000\n1419313649\t3.440000\n1419314250\t3.440000\n1419314850\t3.190000\n1419315451\t3.120000\n1419316051\t3.060000\n1419316652\t3.060000\n1419317252\t3.000000\n1419317868\t2.940000\n1419318468\t2.810000\n1419319069\t2.560000\n1419319670\t2.560000\n1419320270\t2.560000\n1419320871\t2.380000\n1419321471\t2.500000\n1419322072\t2.440000\n1419322672\t2.690000\n1419323273\t2.690000\n1419323873\t2.620000\n1419324474\t2.620000\n1419325074\t2.810000\n1419325675\t2.750000\n1419326276\t2.810000\n1419326876\t2.880000\n1419327477\t3.000000\n1419328077\t2.940000\n1419328678\t3.000000\n1419329278\t3.250000\n1419329879\t3.380000\n1419330479\t3.560000\n1419331080\t3.810000\n1419331681\t4.000000\n1419332281\t4.060000\n1419332882\t4.060000\n1419333482\t4.120000\n1419334083\t4.060000\n1419334683\t4.190000\n1419335284\t4.250000\n1419335884\t4.310000\n1419336485\t4.380000\n1419337086\t4.440000\n1419337686\t4.380000\n1419338302\t4.380000\n1419338902\t4.190000\n1419339503\t4.000000\n1419340103\t3.560000\n1419340704\t3.440000\n1419341304\t3.120000\n1419341905\t3.000000\n1419342506\t2.750000\n1419343106\t2.620000\n1419343707\t2.560000\n1419344307\t2.500000\n1419344908\t2.310000\n1419345508\t2.250000\n1419346109\t2.060000\n1419346709\t1.940000\n1419347310\t1.940000\n1419347910\t2.120000\n1419348511\t2.190000\n1419349112\t2.250000\n1419349712\t2.120000\n1419350313\t2.000000\n1419350913\t1.940000\n1419351514\t1.940000\n1419352114\t1.880000\n1419352715\t2.000000\n1419353315\t2.190000\n1419353916\t2.060000\n1419354517\t1.880000\n1419355117\t1.750000\n1419355718\t2.060000\n1419356318\t2.060000\n1419356919\t1.750000\n1419357534\t1.690000\n1419358135\t1.690000\n1419358735\t1.880000\n1419359336\t1.810000\n1419359937\t1.750000\n1419360537\t1.750000\n1419361138\t1.810000\n1419361738\t1.810000\n1419362339\t1.690000\n1419362939\t1.560000\n1419363540\t1.500000\n1419364140\t1.500000\n1419364741\t1.380000\n1419365341\t1.310000\n1419365942\t1.000000\n1419366543\t0.880000\n1419367143\t0.810000\n1419367744\t0.880000\n1419368344\t1.060000\n1419368945\t1.120000\n1419369545\t1.190000\n1419370146\t1.190000\n1419370746\t1.190000\n1419371347\t1.190000\n1419371947\t1.190000\n1419372548\t1.190000\n1419373149\t1.120000\n1419373749\t1.000000\n1419374350\t0.940000\n1419374965\t0.880000\n1419375566\t0.880000\n1419376166\t0.810000\n1419376767\t0.620000\n1419377367\t0.500000\n1419377968\t0.440000\n1419378568\t0.310000\n1419379169\t0.000000\n1419379769\t-0.120000\n1419380370\t0.000000\n1419380971\t0.000000\n1419381571\t-0.060000\n1419382172\t-0.060000\n1419382772\t-0.060000\n1419383373\t-0.120000\n1419383973\t-0.190000\n1419384574\t-0.060000\n1419385174\t-0.190000\n1419385775\t-0.250000\n1419386376\t-0.250000\n1419386976\t-0.500000\n1419387577\t-0.310000\n1419388177\t-0.440000\n1419388778\t-0.500000\n1419389378\t-0.690000\n1419389979\t-0.810000\n1419390579\t-0.880000\n1419391180\t-0.940000\n1419391780\t-0.940000\n1419392396\t-1.250000\n1419392996\t-1.310000\n1419393597\t-1.250000\n1419394198\t-1.310000\n1419394798\t-1.440000\n1419395399\t-1.310000\n1419395999\t-1.250000\n1419396600\t-1.120000\n1419397200\t-1.000000\n1419397801\t-0.880000\n1419398401\t-0.810000\n1419399002\t-0.750000\n1419399603\t-0.750000\n1419400203\t-0.620000\n1419400804\t-0.620000\n1419401404\t-0.690000\n1419402005\t-0.810000\n1419402605\t-0.880000\n1419403206\t-1.060000\n1419403806\t-1.120000\n1419404407\t-1.310000\n1419405007\t-1.500000\n1419405608\t-1.690000\n1419406209\t-1.880000\n1419406809\t-1.810000\n1419407410\t-1.690000\n1419408010\t-1.620000\n1419408611\t-1.560000\n1419409211\t-1.440000\n1419409812\t-1.380000\n1419410413\t-1.310000\n1419411013\t-1.120000\n1419411629\t-1.000000\n1419412229\t-0.940000\n1419412830\t-0.880000\n1419413430\t-0.880000\n1419414031\t-0.880000\n1419414631\t-0.940000\n1419415232\t-1.060000\n1419415833\t-1.120000\n1419416433\t-1.250000\n1419417034\t-1.380000\n1419417634\t-1.440000\n1419418235\t-1.310000\n1419418835\t-1.380000\n1419419436\t-1.560000\n1419420036\t-1.810000\n1419420637\t-1.940000\n1419421238\t-2.000000\n1419421838\t-2.060000\n1419422439\t-2.060000\n1419423039\t-2.250000\n1419423640\t-2.310000\n1419424240\t-2.380000\n1419424841\t-2.690000\n1419425441\t-2.690000\n1419426042\t-2.690000\n1419426643\t-2.810000\n1419427243\t-2.810000\n1419427844\t-3.000000\n1419428444\t-3.060000\n1419429045\t-3.060000\n1419429645\t-3.250000\n1419430246\t-3.250000\n1419430861\t-3.250000\n1419431462\t-3.250000\n1419432062\t-3.060000\n1419432663\t-3.060000\n1419433264\t-3.000000\n1419433864\t-3.060000\n1419434465\t-3.190000\n1419435065\t-3.310000\n1419435666\t-3.380000\n1419436266\t-3.500000\n1419436867\t-3.560000\n1419437467\t-3.620000\n1419438068\t-3.810000\n1419438668\t-3.810000\n1419439269\t-3.810000\n1419439869\t-3.810000\n1419440470\t-3.810000\n1419441071\t-3.750000\n1419441671\t-3.500000\n1419442272\t-3.190000\n1419442872\t-3.000000\n1419443473\t-3.000000\n1419444073\t-2.880000\n1419444674\t-2.750000\n1419445274\t-2.690000\n1419445875\t-2.620000\n1419446475\t-2.620000\n1419447076\t-2.690000\n1419447677\t-2.690000\n1419448277\t-2.690000\n1419448878\t-2.690000\n1419449493\t-2.620000\n1419450094\t-2.690000\n1419450694\t-2.750000\n1419451295\t-2.810000\n1419451895\t-2.810000\n1419452496\t-2.940000\n1419453097\t-3.060000\n1419453697\t-3.190000\n1419454298\t-3.310000\n1419454898\t-3.560000\n1419455499\t-3.750000\n1419456099\t-3.880000\n1419456700\t-3.940000\n1419457300\t-4.060000\n1419457901\t-4.190000\n1419458502\t-4.380000\n1419459102\t-4.500000\n1419459703\t-4.560000\n1419460303\t-4.620000\n1419460904\t-4.690000\n1419461504\t-4.810000\n1419462105\t-4.880000\n1419462705\t-4.940000\n1419463306\t-5.060000\n1419463907\t-5.060000\n1419464507\t-5.120000\n1419465108\t-5.190000\n1419465708\t-5.250000\n1419466309\t-5.310000\n1419466924\t-5.380000\n1419467525\t-5.380000\n1419468125\t-5.440000\n1419468726\t-5.500000\n1419469326\t-5.560000\n1419469927\t-5.690000\n1419470528\t-5.690000\n1419471128\t-5.750000\n1419471729\t-5.810000\n1419472329\t-5.880000\n1419472930\t-5.940000\n1419473530\t-6.000000\n1419474131\t-6.060000\n1419474731\t-6.120000\n1419475332\t-6.190000\n1419475933\t-6.310000\n1419476533\t-6.310000\n1419477134\t-6.440000\n1419477734\t-6.440000\n1419478335\t-6.560000\n1419478935\t-6.560000\n1419479536\t-6.690000\n1419480136\t-6.750000\n1419480737\t-6.810000\n1419481337\t-6.940000\n1419481938\t-7.000000\n1419482539\t-7.060000\n1419483139\t-7.000000\n1419483740\t-7.120000\n1419484340\t-7.250000\n1419484941\t-7.310000\n1419485541\t-7.380000\n1419486142\t-7.560000\n1419486757\t-7.620000\n1419487358\t-7.750000\n1419487959\t-7.810000\n1419488559\t-7.880000\n1419489160\t-8.000000\n1419489760\t-8.000000\n1419490361\t-8.060000\n1419490961\t-8.120000\n1419491562\t-8.190000\n1419492162\t-8.000000\n1419492763\t-7.750000\n1419493364\t-7.940000\n1419493964\t-7.690000\n1419494565\t-7.750000\n1419495165\t-8.060000\n1419495766\t-7.750000\n1419496366\t-7.810000\n1419496967\t-8.000000\n1419497568\t-8.000000\n1419498168\t-8.000000\n1419498769\t-8.190000\n1419499369\t-8.120000\n1419499970\t-7.940000\n1419500570\t-7.810000\n1419501171\t-7.500000\n1419501771\t-7.560000\n1419502372\t-7.380000\n1419502972\t-7.440000\n1419503573\t-7.250000\n1419504173\t-7.060000\n1419504774\t-7.060000\n1419505374\t-6.940000\n1419505990\t-7.190000\n1419506590\t-7.120000\n1419507191\t-6.880000\n1419507792\t-6.750000\n1419508392\t-6.750000\n1419508993\t-6.810000\n1419509593\t-6.880000\n1419510194\t-6.880000\n1419510794\t-6.880000\n1419511395\t-6.880000\n1419511995\t-6.810000\n1419512596\t-6.880000\n1419513196\t-7.000000\n1419513797\t-7.060000\n1419514398\t-7.190000\n1419514998\t-7.310000\n1419515599\t-7.500000\n1419516199\t-7.620000\n1419516800\t-7.810000\n1419517400\t-8.000000\n1419518001\t-8.120000\n1419518601\t-8.190000\n1419519202\t-8.440000\n1419519802\t-8.500000\n1419520403\t-8.690000\n1419521004\t-8.810000\n1419521604\t-8.690000\n1419522205\t-8.750000\n1419522805\t-8.750000\n1419523406\t-9.000000\n1419524006\t-9.060000\n1419524622\t-8.940000\n1419525222\t-8.940000\n1419525823\t-9.000000\n1419526424\t-9.060000\n1419527024\t-9.120000\n1419527625\t-9.190000\n1419528225\t-9.310000\n1419528826\t-9.380000\n1419529426\t-9.440000\n1419530027\t-9.380000\n1419530627\t-9.310000\n1419531228\t-9.440000\n1419531828\t-9.440000\n1419532429\t-9.380000\n1419533029\t-9.500000\n1419533630\t-9.690000\n1419534231\t-9.690000\n1419534831\t-9.620000\n1419535432\t-9.750000\n1419536032\t-9.620000\n1419536633\t-9.750000\n1419537233\t-9.690000\n1419537834\t-9.690000\n1419538434\t-9.620000\n1419539035\t-9.750000\n1419539636\t-9.810000\n1419540236\t-9.880000\n1419540837\t-9.880000\n1419541437\t-9.880000\n1419542038\t-9.940000\n1419542638\t-10.000000\n1419543254\t-10.060000\n1419543854\t-10.000000\n1419544455\t-10.060000\n1419545055\t-9.940000\n1419545656\t-9.940000\n1419546256\t-10.060000\n1419546857\t-10.060000\n1419547457\t-10.000000\n1419548058\t-10.060000\n1419548659\t-10.000000\n1419549259\t-9.940000\n1419549860\t-10.000000\n1419550460\t-9.810000\n1419551061\t-9.750000\n1419551661\t-9.620000\n1419552262\t-9.690000\n1419552862\t-9.690000\n1419553463\t-9.690000\n1419554063\t-9.690000\n1419554664\t-9.620000\n1419555265\t-9.500000\n1419555865\t-9.560000\n1419556466\t-9.560000\n1419557066\t-9.690000\n1419557667\t-9.690000\n1419558267\t-9.690000\n1419558868\t-9.620000\n1419559468\t-9.560000\n1419560069\t-9.690000\n1419560670\t-9.690000\n1419561270\t-9.440000\n1419561871\t-9.380000\n1419562486\t-9.310000\n1419563087\t-9.310000\n1419563687\t-9.060000\n1419564288\t-8.940000\n1419564888\t-8.940000\n1419565489\t-8.940000\n1419566089\t-8.880000\n1419566690\t-8.940000\n1419567290\t-8.690000\n1419567891\t-8.620000\n1419568492\t-8.560000\n1419569092\t-8.560000\n1419569693\t-8.620000\n1419570293\t-8.560000\n1419570894\t-8.500000\n1419571494\t-8.620000\n1419572095\t-8.620000\n1419572695\t-8.690000\n1419573296\t-8.620000\n1419573896\t-8.560000\n1419574497\t-8.440000\n1419575098\t-8.440000\n1419575698\t-8.560000\n1419576299\t-8.750000\n1419576899\t-8.690000\n1419577500\t-8.620000\n1419578100\t-8.750000\n1419578701\t-8.810000\n1419579301\t-8.880000\n1419579902\t-8.810000\n1419580502\t-8.750000\n1419581118\t-8.560000\n1419581719\t-8.500000\n1419582319\t-8.560000\n1419582920\t-8.560000\n1419583520\t-8.380000\n1419584121\t-8.190000\n1419584721\t-7.560000\n1419585322\t-7.310000\n1419585922\t-7.000000\n1419586523\t-6.690000\n1419587123\t-6.380000\n1419587724\t-6.190000\n1419588324\t-6.060000\n1419588925\t-5.880000\n1419589526\t-5.620000\n1419590126\t-5.380000\n1419590727\t-5.120000\n1419591327\t-4.690000\n1419591928\t-4.440000\n1419592528\t-4.000000\n1419593129\t-3.750000\n1419593729\t-3.560000\n1419594330\t-3.380000\n1419594930\t-3.120000\n1419595531\t-3.190000\n1419596132\t-3.120000\n1419596732\t-3.060000\n1419597333\t-2.940000\n1419597933\t-2.940000\n1419598534\t-2.750000\n1419599134\t-2.750000\n1419599750\t-2.690000\n1419600350\t-2.620000\n1419600951\t-2.750000\n1419601551\t-2.880000\n1419602152\t-2.940000\n1419602753\t-3.060000\n1419603353\t-3.120000\n1419603954\t-3.120000\n1419604554\t-3.190000\n1419605155\t-3.250000\n1419605755\t-3.380000\n1419606356\t-3.440000\n1419606957\t-3.500000\n1419607557\t-3.690000\n1419608158\t-3.940000\n1419608758\t-3.880000\n1419609359\t-3.940000\n1419609959\t-3.940000\n1419610560\t-4.190000\n1419611160\t-4.190000\n1419611761\t-4.120000\n1419612361\t-4.060000\n1419612962\t-3.880000\n1419613563\t-3.750000\n1419614163\t-3.690000\n1419614764\t-3.750000\n1419615364\t-3.810000\n1419615965\t-3.810000\n1419616565\t-3.880000\n1419617166\t-3.940000\n1419617766\t-3.690000\n1419618367\t-3.690000\n1419618982\t-3.690000\n1419619583\t-3.750000\n1419620184\t-3.810000\n1419620784\t-3.750000\n1419621385\t-3.940000\n1419621985\t-3.880000\n1419622586\t-3.810000\n1419623186\t-3.880000\n1419623787\t-3.880000\n1419624387\t-3.940000\n1419624988\t-3.940000\n1419625588\t-4.000000\n1419626189\t-4.000000\n1419626790\t-4.060000\n1419627390\t-4.000000\n1419627991\t-3.940000\n1419628591\t-3.880000\n1419629192\t-3.810000\n1419629792\t-3.750000\n1419630393\t-3.810000\n1419630993\t-3.940000\n1419631594\t-4.000000\n1419632194\t-4.000000\n1419632795\t-4.060000\n1419633395\t-4.120000\n1419633996\t-4.120000\n1419634596\t-4.190000\n1419635197\t-4.190000\n1419635798\t-4.250000\n1419636398\t-4.310000\n1419636999\t-4.560000\n1419637599\t-4.810000\n1419638215\t-4.880000\n1419638815\t-4.750000\n1419639416\t-4.750000\n1419640016\t-4.750000\n1419640617\t-4.810000\n1419641217\t-5.000000\n1419641818\t-5.250000\n1419642419\t-5.560000\n1419643019\t-5.750000\n1419643620\t-5.880000\n1419644220\t-6.120000\n1419644821\t-6.120000\n1419645421\t-6.190000\n1419646022\t-6.500000\n1419646622\t-6.440000\n1419647223\t-6.690000\n1419647824\t-6.500000\n1419648424\t-6.560000\n1419649025\t-6.750000\n1419649625\t-6.500000\n1419650226\t-6.440000\n1419650826\t-6.310000\n1419651427\t-6.310000\n1419652027\t-6.380000\n1419652628\t-6.560000\n1419653229\t-6.880000\n1419653829\t-7.060000\n1419654430\t-6.940000\n1419655030\t-7.120000\n1419655631\t-7.440000\n1419656231\t-7.880000\n1419656832\t-7.810000\n1419657432\t-7.940000\n1419658048\t-8.060000\n1419658648\t-8.190000\n1419659249\t-8.250000\n1419659850\t-8.120000\n1419660450\t-8.060000\n1419661051\t-8.120000\n1419661651\t-8.250000\n1419662252\t-8.690000\n1419662852\t-9.000000\n1419663453\t-8.810000\n1419664053\t-8.810000\n1419664654\t-8.620000\n1419665254\t-8.690000\n1419665855\t-8.880000\n1419666456\t-8.880000\n1419667056\t-9.060000\n1419667657\t-9.250000\n1419668257\t-9.940000\n1419668858\t-9.500000\n1419669458\t-9.750000\n1419670059\t-9.560000\n1419670659\t-9.810000\n1419671260\t-9.690000\n1419671861\t-9.440000\n1419672461\t-9.440000\n1419673062\t-9.000000\n1419673662\t-8.690000\n1419674263\t-8.690000\n1419674863\t-8.690000\n1419675464\t-8.620000\n1419676064\t-8.310000\n1419676680\t-8.250000\n1419677280\t-8.190000\n1419677881\t-8.000000\n1419678481\t-8.000000\n1419679082\t-7.880000\n1419679683\t-7.810000\n1419680283\t-7.620000\n1419680884\t-7.500000\n1419681484\t-7.380000\n1419682085\t-7.500000\n1419682685\t-7.500000\n1419683286\t-7.380000\n1419683886\t-7.380000\n1419684487\t-7.500000\n1419685088\t-7.310000\n1419685688\t-7.250000\n1419686289\t-7.380000\n1419686889\t-7.690000\n1419687490\t-7.940000\n1419688090\t-8.000000\n1419688691\t-8.250000\n1419689291\t-8.250000\n1419689892\t-8.440000\n1419690493\t-8.560000\n1419691093\t-8.690000\n1419691694\t-8.750000\n1419692294\t-8.880000\n1419692895\t-8.940000\n1419693495\t-9.060000\n1419694096\t-9.190000\n1419694696\t-9.250000\n1419695297\t-9.250000\n1419695897\t-9.190000\n1419696498\t-9.500000\n1419697098\t-9.750000\n1419697699\t-10.120000\n1419698314\t-10.560000\n1419698915\t-10.690000\n1419699515\t-10.750000\n1419700116\t-10.620000\n1419700717\t-10.560000\n1419701317\t-10.500000\n1419701918\t-11.000000\n1419702518\t-11.060000\n1419703119\t-11.440000\n1419703719\t-10.810000\n1419704320\t-10.690000\n1419704920\t-10.620000\n1419705521\t-10.880000\n1419706121\t-10.880000\n1419706722\t-11.060000\n1419707323\t-10.940000\n1419707923\t-11.000000\n1419708524\t-11.250000\n1419709124\t-11.560000\n1419709725\t-11.810000\n1419710325\t-12.000000\n1419710926\t-12.060000\n1419711526\t-11.880000\n1419712127\t-11.620000\n1419712728\t-11.620000\n1419713328\t-11.500000\n1419713929\t-11.440000\n1419714529\t-11.250000\n1419715130\t-11.310000\n1419715730\t-11.500000\n1419716331\t-11.440000\n1419716931\t-11.750000\n1419717532\t-12.380000\n1419718133\t-12.000000\n1419718733\t-12.120000\n1419719334\t-12.250000\n1419719949\t-12.620000\n1419720550\t-12.750000\n1419721150\t-12.620000\n1419721751\t-12.690000\n1419722352\t-12.750000\n1419722952\t-12.810000\n1419723553\t-12.810000\n1419724153\t-12.810000\n1419724754\t-13.060000\n1419725354\t-13.250000\n1419725955\t-13.250000\n1419726555\t-13.380000\n1419727156\t-13.440000\n1419727757\t-13.620000\n1419728357\t-13.690000\n1419728958\t-13.560000\n1419729558\t-13.880000\n1419730159\t-13.940000\n1419730759\t-13.940000\n1419731360\t-13.810000\n1419731960\t-13.560000\n1419732561\t-13.620000\n1419733162\t-13.750000\n1419733762\t-13.750000\n1419734363\t-13.810000\n1419734963\t-13.880000\n1419735564\t-13.940000\n1419736164\t-14.060000\n1419736765\t-14.120000\n1419737365\t-14.190000\n1419737966\t-14.120000\n1419738567\t-14.120000\n1419739167\t-14.120000\n1419739783\t-14.060000\n1419740383\t-13.940000\n1419740984\t-13.880000\n1419741584\t-13.810000\n1419742185\t-13.880000\n1419742785\t-13.810000\n1419743386\t-13.880000\n1419743986\t-13.940000\n1419744587\t-14.060000\n1419745188\t-13.880000\n1419745788\t-13.810000\n1419746389\t-13.880000\n1419746989\t-13.810000\n1419747590\t-13.810000\n1419748190\t-13.810000\n1419748791\t-13.690000\n1419749392\t-13.690000\n1419749992\t-13.750000\n1419750593\t-13.750000\n1419751193\t-13.690000\n1419751794\t-13.690000\n1419752394\t-13.690000\n1419752995\t-13.750000\n1419753595\t-13.690000\n1419754196\t-13.750000\n1419754796\t-13.810000\n1419755397\t-13.560000\n1419755998\t-13.500000\n1419756598\t-13.310000\n1419757199\t-13.190000\n1419757799\t-13.190000\n1419758400\t-13.060000\n1419759000\t-12.880000\n1419759616\t-12.620000\n1419760216\t-12.440000\n1419760817\t-12.380000\n1419761417\t-12.190000\n1419762018\t-12.000000\n1419762618\t-11.810000\n1419763219\t-11.440000\n1419763820\t-11.190000\n1419764420\t-11.060000\n1419765021\t-10.880000\n1419765621\t-10.560000\n1419766222\t-10.380000\n1419766822\t-10.190000\n1419767423\t-10.190000\n1419768023\t-10.250000\n1419768624\t-10.190000\n1419769224\t-10.310000\n1419769825\t-10.310000\n1419770426\t-10.380000\n1419771026\t-10.380000\n1419771627\t-10.440000\n1419772227\t-10.500000\n1419772828\t-10.690000\n1419773428\t-10.750000\n1419774029\t-10.810000\n1419774629\t-11.000000\n1419775230\t-11.060000\n1419775831\t-11.190000\n1419776431\t-11.310000\n1419777032\t-11.250000\n1419777632\t-11.310000\n1419778248\t-11.310000\n1419778848\t-11.440000\n1419779449\t-11.500000\n1419780049\t-11.560000\n1419780650\t-12.000000\n1419781250\t-12.190000\n1419781851\t-12.120000\n1419782452\t-12.060000\n1419783052\t-12.060000\n1419783653\t-12.000000\n1419784253\t-12.060000\n1419784854\t-12.250000\n1419785454\t-12.380000\n1419786055\t-12.060000\n1419786655\t-12.190000\n1419787256\t-12.380000\n1419787856\t-12.500000\n1419788457\t-12.380000\n1419789057\t-12.440000\n1419789658\t-12.750000\n1419790258\t-12.940000\n1419790859\t-13.000000\n1419791459\t-13.120000\n1419792060\t-13.690000\n1419792661\t-13.310000\n1419793261\t-13.440000\n1419793862\t-13.500000\n1419794462\t-13.310000\n1419795063\t-13.440000\n1419795663\t-13.750000\n1419796279\t-13.690000\n1419796879\t-13.750000\n1419797480\t-13.880000\n1419798081\t-14.120000\n1419798681\t-13.810000\n1419799282\t-13.750000\n1419799882\t-13.810000\n1419800483\t-13.690000\n1419801083\t-14.440000\n1419801684\t-14.250000\n1419802284\t-14.250000\n1419802885\t-14.060000\n1419803485\t-13.880000\n1419804086\t-13.690000\n1419804687\t-13.880000\n1419805287\t-14.060000\n1419805888\t-13.880000\n1419806488\t-14.190000\n1419807089\t-14.560000\n1419807689\t-14.440000\n1419808290\t-14.060000\n1419808890\t-13.880000\n1419809491\t-14.250000\n1419810092\t-13.940000\n1419810692\t-13.810000\n1419811293\t-13.810000\n1419811893\t-13.620000\n1419812494\t-13.560000\n1419813094\t-13.620000\n1419813695\t-13.880000\n1419814310\t-13.940000\n1419814911\t-13.810000\n1419815511\t-13.940000\n1419816112\t-13.690000\n1419816713\t-13.880000\n1419817313\t-13.750000\n1419817914\t-13.810000\n1419818514\t-13.690000\n1419819115\t-13.250000\n1419819715\t-13.190000\n1419820316\t-13.060000\n1419820916\t-13.120000\n1419821517\t-13.190000\n1419822117\t-12.940000\n1419822718\t-12.880000\n1419823318\t-12.750000\n1419823919\t-12.750000\n1419824519\t-12.750000\n1419825120\t-12.620000\n1419825720\t-12.620000\n1419826321\t-12.560000\n1419826922\t-12.690000\n1419827522\t-12.810000\n1419828123\t-12.940000\n1419828723\t-12.810000\n1419829324\t-12.560000\n1419829924\t-12.310000\n1419830525\t-12.120000\n1419831125\t-11.940000\n1419831726\t-11.560000\n1419832341\t-10.750000\n1419832942\t-10.310000\n1419833543\t-10.190000\n1419834143\t-10.060000\n1419834744\t-10.190000\n1419835344\t-10.060000\n1419835945\t-10.000000\n1419836545\t-9.810000\n1419837146\t-9.810000\n1419837746\t-9.940000\n1419838347\t-10.000000\n1419838947\t-10.190000\n1419839548\t-10.190000\n1419840149\t-10.190000\n1419840749\t-10.060000\n1419841350\t-9.940000\n1419841950\t-9.750000\n1419842551\t-9.500000\n1419843151\t-9.440000\n1419843752\t-9.190000\n1419844352\t-9.000000\n1419844953\t-8.690000\n1419845553\t-8.440000\n1419846154\t-8.250000\n1419846755\t-8.000000\n1419847355\t-7.750000\n1419847956\t-7.500000\n1419848556\t-7.250000\n1419849157\t-7.000000\n1419849757\t-6.810000\n1419850373\t-6.120000\n1419850973\t-5.810000\n1419851574\t-5.750000\n1419852175\t-5.440000\n1419852775\t-5.440000\n1419853376\t-5.380000\n1419853976\t-5.190000\n1419854577\t-5.190000\n1419855177\t-5.120000\n1419855778\t-5.120000\n1419856378\t-5.120000\n1419856979\t-5.060000\n1419857579\t-5.060000\n1419858180\t-5.190000\n1419858781\t-5.190000\n1419859381\t-5.120000\n1419859982\t-5.190000\n1419860582\t-5.120000\n1419861183\t-5.120000\n1419861783\t-5.190000\n1419862384\t-5.190000\n1419862985\t-5.250000\n1419863585\t-5.250000\n1419864186\t-5.380000\n1419864786\t-5.380000\n1419865387\t-5.380000\n1419865987\t-5.310000\n1419866588\t-5.310000\n1419867188\t-5.190000\n1419867789\t-4.880000\n1419868404\t-4.810000\n1419869005\t-4.690000\n1419869606\t-4.690000\n1419870206\t-4.690000\n1419870807\t-4.620000\n1419871407\t-4.500000\n1419872008\t-4.440000\n1419872608\t-4.380000\n1419873209\t-4.310000\n1419873809\t-4.250000\n1419874410\t-4.190000\n1419875010\t-4.060000\n1419875611\t-4.120000\n1419876212\t-4.190000\n1419876812\t-4.120000\n1419877413\t-4.060000\n1419878013\t-4.060000\n1419878614\t-4.060000\n1419879214\t-4.000000\n1419879815\t-3.940000\n1419880415\t-3.810000\n1419881016\t-3.750000\n1419881617\t-3.690000\n1419882217\t-3.690000\n1419882818\t-3.440000\n1419883418\t-3.440000\n1419884019\t-3.380000\n1419884619\t-3.380000\n1419885235\t-3.500000\n1419885835\t-3.440000\n1419886436\t-3.250000\n1419887036\t-3.190000\n1419887637\t-3.060000\n1419888237\t-3.000000\n1419888838\t-2.880000\n1419889438\t-2.810000\n1419890039\t-2.620000\n1419890640\t-2.560000\n1419891240\t-2.310000\n1419891841\t-2.250000\n1419892441\t-2.120000\n1419893042\t-2.060000\n1419893642\t-1.810000\n1419894243\t-1.690000\n1419894843\t-1.620000\n1419895444\t-1.440000\n1419896044\t-1.440000\n1419896645\t-1.380000\n1419897245\t-1.380000\n1419897846\t-1.190000\n1419898447\t-1.190000\n1419899047\t-1.120000\n1419899648\t-1.190000\n1419900248\t-1.000000\n1419900849\t-1.060000\n1419901449\t-0.940000\n1419902065\t-0.810000\n1419902665\t-0.880000\n1419903266\t-0.810000\n1419903866\t-0.620000\n1419904467\t-0.380000\n1419905067\t-0.380000\n1419905668\t-0.250000\n1419906269\t-0.060000\n1419906869\t-0.060000\n1419907470\t0.000000\n1419908070\t0.000000\n1419908671\t0.000000\n1419909271\t0.000000\n1419909872\t0.000000\n1419910472\t0.000000\n1419911073\t0.060000\n1419911673\t0.000000\n1419912274\t0.190000\n1419912874\t0.190000\n1419913475\t0.380000\n1419914076\t0.380000\n1419914676\t0.500000\n1419915277\t0.500000\n1419915877\t0.440000\n1419916478\t0.500000\n1419917078\t0.440000\n1419917679\t0.560000\n1419918279\t0.620000\n1419918895\t0.690000\n1419919495\t0.750000\n1419920096\t0.690000\n1419920697\t0.690000\n1419921297\t0.620000\n1419921898\t0.620000\n1419922498\t0.500000\n1419923099\t0.440000\n1419923699\t0.440000\n1419924300\t0.440000\n1419924900\t0.500000\n1419925501\t0.560000\n1419926101\t0.620000\n1419926702\t0.560000\n1419927303\t0.810000\n1419927903\t0.880000\n1419928504\t0.880000\n1419929104\t0.880000\n1419929705\t0.880000\n1419930305\t0.880000\n1419930906\t0.750000\n1419931506\t0.690000\n1419932107\t0.560000\n1419932707\t0.750000\n1419933308\t0.690000\n1419933909\t0.750000\n1419934524\t1.000000\n1419935125\t1.000000\n1419935725\t1.000000\n1419936326\t1.060000\n1419936926\t1.060000\n1419937527\t1.120000\n1419938127\t1.250000\n1419938728\t1.250000\n1419939328\t1.190000\n1419939929\t1.190000\n1419940529\t1.190000\n1419941130\t1.120000\n1419941731\t1.190000\n1419942331\t1.250000\n1419942932\t1.310000\n1419943532\t1.310000\n1419944133\t1.380000\n1419944733\t1.310000\n1419945334\t1.310000\n1419945934\t1.250000\n1419946535\t1.250000\n1419947135\t1.310000\n1419947736\t1.190000\n1419948336\t1.120000\n1419948937\t1.250000\n1419949537\t1.310000\n1419950138\t1.250000\n1419950739\t1.120000\n1419951354\t1.190000\n1419951955\t1.250000\n1419952555\t1.250000\n1419953156\t1.250000\n1419953756\t1.310000\n1419954357\t1.380000\n1419954957\t1.310000\n1419955558\t1.250000\n1419956158\t1.250000\n1419956759\t1.190000\n1419957360\t1.120000\n1419957960\t1.120000\n1419958561\t1.120000\n1419959161\t1.120000\n1419959762\t1.120000\n1419960362\t1.120000\n1419960963\t1.120000\n1419961563\t1.060000\n1419962164\t1.060000\n1419962764\t1.060000\n1419963365\t1.120000\n1419963965\t1.120000\n1419964566\t1.120000\n1419965166\t1.120000\n1419965767\t1.120000\n1419966368\t1.060000\n1419966968\t1.060000\n1419967569\t1.120000\n1419968169\t1.060000\n1419968770\t1.120000\n1419969385\t1.190000\n1419969986\t1.190000\n1419970586\t1.250000\n1419971187\t1.380000\n1419971787\t1.380000\n1419972388\t1.310000\n1419972988\t1.250000\n1419973589\t1.310000\n1419974190\t1.380000\n1419974790\t1.500000\n1419975391\t1.500000\n1419975991\t1.440000\n1419976592\t1.500000\n1419977192\t1.500000\n1419977793\t1.560000\n1419978393\t1.620000\n1419978994\t1.620000\n1419979595\t1.620000\n1419980195\t1.750000\n"
  },
  {
    "path": "tokyo-metro.json",
    "content": "{\n    \"C\": {\n        \"color\": \"#149848\", \n        \"transfers\": [\n            [\n                \"C3\", \n                \"F15\"\n            ], \n            [\n                \"C4\", \n                \"Z2\"\n            ], \n            [\n                \"C4\", \n                \"G2\"\n            ], \n            [\n                \"C7\", \n                \"M14\"\n            ], \n            [\n                \"C7\", \n                \"N6\"\n            ], \n            [\n                \"C7\", \n                \"G6\"\n            ], \n            [\n                \"C8\", \n                \"M15\"\n            ], \n            [\n                \"C8\", \n                \"H6\"\n            ], \n            [\n                \"C9\", \n                \"H7\"\n            ], \n            [\n                \"C9\", \n                \"Y18\"\n            ], \n            [\n                \"C11\", \n                \"T9\"\n            ], \n            [\n                \"C11\", \n                \"M18\"\n            ], \n            [\n                \"C11\", \n                \"Z8\"\n            ], \n            [\n                \"C12\", \n                \"M19\"\n            ], \n            [\n                \"C18\", \n                \"H21\"\n            ]\n        ], \n        \"travel_times\": [\n            [\n                \"C1\", \n                \"C2\", \n                2\n            ], \n            [\n                \"C2\", \n                \"C3\", \n                2\n            ], \n            [\n                \"C3\", \n                \"C4\", \n                1\n            ], \n            [\n                \"C4\", \n                \"C5\", \n                2\n            ], \n            [\n                \"C5\", \n                \"C6\", \n                2\n            ], \n            [\n                \"C6\", \n                \"C7\", \n                2\n            ], \n            [\n                \"C7\", \n                \"C8\", \n                1\n            ], \n            [\n                \"C8\", \n                \"C9\", \n                3\n            ], \n            [\n                \"C9\", \n                \"C10\", \n                1\n            ], \n            [\n                \"C10\", \n                \"C11\", \n                2\n            ], \n            [\n                \"C11\", \n                \"C12\", \n                2\n            ], \n            [\n                \"C12\", \n                \"C13\", \n                2\n            ], \n            [\n                \"C13\", \n                \"C14\", \n                2\n            ], \n            [\n                \"C14\", \n                \"C15\", \n                2\n            ], \n            [\n                \"C15\", \n                \"C16\", \n                2\n            ], \n            [\n                \"C16\", \n                \"C17\", \n                3\n            ], \n            [\n                \"C17\", \n                \"C18\", \n                3\n            ], \n            [\n                \"C18\", \n                \"C19\", \n                3\n            ]\n        ]\n    }, \n    \"G\": {\n        \"color\": \"#f59230\", \n        \"transfers\": [\n            [\n                \"G1\", \n                \"Z1\"\n            ], \n            [\n                \"G1\", \n                \"F16\"\n            ], \n            [\n                \"G2\", \n                \"Z2\"\n            ], \n            [\n                \"G2\", \n                \"C4\"\n            ], \n            [\n                \"G4\", \n                \"Z3\"\n            ], \n            [\n                \"G5\", \n                \"M13\"\n            ], \n            [\n                \"G5\", \n                \"Y16\"\n            ], \n            [\n                \"G5\", \n                \"Z4\"\n            ], \n            [\n                \"G5\", \n                \"N7\"\n            ], \n            [\n                \"G6\", \n                \"N6\"\n            ], \n            [\n                \"G6\", \n                \"M14\"\n            ], \n            [\n                \"G6\", \n                \"C7\"\n            ], \n            [\n                \"G9\", \n                \"M16\"\n            ], \n            [\n                \"G9\", \n                \"H8\"\n            ], \n            [\n                \"G11\", \n                \"T10\"\n            ], \n            [\n                \"G12\", \n                \"Z9\"\n            ], \n            [\n                \"G15\", \n                \"H16\"\n            ], \n            [\n                \"G16\", \n                \"H17\"\n            ]\n        ], \n        \"travel_times\": [\n            [\n                \"G1\", \n                \"G2\", \n                2\n            ], \n            [\n                \"G2\", \n                \"G3\", \n                1\n            ], \n            [\n                \"G3\", \n                \"G4\", \n                2\n            ], \n            [\n                \"G4\", \n                \"G5\", \n                2\n            ], \n            [\n                \"G5\", \n                \"G6\", \n                2\n            ], \n            [\n                \"G6\", \n                \"G7\", \n                2\n            ], \n            [\n                \"G7\", \n                \"G8\", \n                2\n            ], \n            [\n                \"G8\", \n                \"G9\", \n                2\n            ], \n            [\n                \"G9\", \n                \"G10\", \n                1\n            ], \n            [\n                \"G10\", \n                \"G11\", \n                2\n            ], \n            [\n                \"G11\", \n                \"G12\", \n                2\n            ], \n            [\n                \"G12\", \n                \"G13\", \n                1\n            ], \n            [\n                \"G13\", \n                \"G14\", \n                2\n            ], \n            [\n                \"G14\", \n                \"G15\", \n                2\n            ], \n            [\n                \"G15\", \n                \"G16\", \n                1\n            ], \n            [\n                \"G16\", \n                \"G17\", \n                2\n            ], \n            [\n                \"G17\", \n                \"G18\", \n                1\n            ], \n            [\n                \"G18\", \n                \"G19\", \n                2\n            ]\n        ]\n    }, \n    \"F\": {\n        \"color\": \"#b96528\", \n        \"transfers\": [\n            [\n                \"F1\", \n                \"Y1\"\n            ], \n            [\n                \"F2\", \n                \"Y2\"\n            ], \n            [\n                \"F3\", \n                \"Y3\"\n            ], \n            [\n                \"F4\", \n                \"Y4\"\n            ], \n            [\n                \"F5\", \n                \"Y5\"\n            ], \n            [\n                \"F6\", \n                \"Y6\"\n            ], \n            [\n                \"F7\", \n                \"Y7\"\n            ], \n            [\n                \"F8\", \n                \"Y8\"\n            ], \n            [\n                \"F9\", \n                \"Y9\"\n            ], \n            [\n                \"F9\", \n                \"M25\"\n            ], \n            [\n                \"F13\", \n                \"M9\"\n            ], \n            [\n                \"F15\", \n                \"C3\"\n            ], \n            [\n                \"F16\", \n                \"Z1\"\n            ], \n            [\n                \"F16\", \n                \"G1\"\n            ]\n        ], \n        \"travel_times\": [\n            [\n                \"F1\", \n                \"F2\", \n                3\n            ], \n            [\n                \"F2\", \n                \"F3\", \n                2\n            ], \n            [\n                \"F3\", \n                \"F4\", \n                3\n            ], \n            [\n                \"F4\", \n                \"F5\", \n                2\n            ], \n            [\n                \"F5\", \n                \"F6\", \n                2\n            ], \n            [\n                \"F6\", \n                \"F7\", \n                2\n            ], \n            [\n                \"F7\", \n                \"F8\", \n                2\n            ], \n            [\n                \"F8\", \n                \"F9\", \n                2\n            ], \n            [\n                \"F9\", \n                \"F10\", \n                3\n            ], \n            [\n                \"F10\", \n                \"F11\", \n                2\n            ], \n            [\n                \"F11\", \n                \"F12\", \n                2\n            ], \n            [\n                \"F12\", \n                \"F13\", \n                2\n            ], \n            [\n                \"F13\", \n                \"F14\", \n                3\n            ], \n            [\n                \"F14\", \n                \"F15\", \n                2\n            ], \n            [\n                \"F15\", \n                \"F16\", \n                2\n            ]\n        ]\n    }, \n    \"H\": {\n        \"color\": \"#9cacb5\", \n        \"transfers\": [\n            [\n                \"H6\", \n                \"M15\"\n            ], \n            [\n                \"H6\", \n                \"C8\"\n            ], \n            [\n                \"H7\", \n                \"Y18\"\n            ], \n            [\n                \"H7\", \n                \"C9\"\n            ], \n            [\n                \"H8\", \n                \"M16\"\n            ], \n            [\n                \"H8\", \n                \"G9\"\n            ], \n            [\n                \"H12\", \n                \"T11\"\n            ], \n            [\n                \"H16\", \n                \"G15\"\n            ], \n            [\n                \"H17\", \n                \"G16\"\n            ], \n            [\n                \"H21\", \n                \"C18\"\n            ]\n        ], \n        \"travel_times\": [\n            [\n                \"H1\", \n                \"H2\", \n                3\n            ], \n            [\n                \"H2\", \n                \"H3\", \n                3\n            ], \n            [\n                \"H3\", \n                \"H4\", \n                3\n            ], \n            [\n                \"H4\", \n                \"H5\", \n                3\n            ], \n            [\n                \"H5\", \n                \"H6\", \n                2\n            ], \n            [\n                \"H6\", \n                \"H7\", \n                3\n            ], \n            [\n                \"H7\", \n                \"H8\", \n                1\n            ], \n            [\n                \"H8\", \n                \"H9\", \n                2\n            ], \n            [\n                \"H9\", \n                \"H10\", \n                2\n            ], \n            [\n                \"H10\", \n                \"H11\", \n                2\n            ], \n            [\n                \"H11\", \n                \"H12\", \n                1\n            ], \n            [\n                \"H12\", \n                \"H13\", \n                3\n            ], \n            [\n                \"H13\", \n                \"H14\", \n                1\n            ], \n            [\n                \"H14\", \n                \"H15\", \n                2\n            ], \n            [\n                \"H15\", \n                \"H16\", \n                2\n            ], \n            [\n                \"H16\", \n                \"H17\", \n                1\n            ], \n            [\n                \"H17\", \n                \"H18\", \n                2\n            ], \n            [\n                \"H18\", \n                \"H19\", \n                2\n            ], \n            [\n                \"H19\", \n                \"H20\", \n                2\n            ], \n            [\n                \"H20\", \n                \"H21\", \n                3\n            ]\n        ]\n    }, \n    \"M\": {\n        \"color\": \"#ff0000\", \n        \"transfers\": [\n            [\n                \"M9\", \n                \"F13\"\n            ], \n            [\n                \"M12\", \n                \"N8\"\n            ], \n            [\n                \"M13\", \n                \"G5\"\n            ], \n            [\n                \"M13\", \n                \"Y16\"\n            ], \n            [\n                \"M13\", \n                \"Z4\"\n            ], \n            [\n                \"M13\", \n                \"N7\"\n            ], \n            [\n                \"M14\", \n                \"C7\"\n            ], \n            [\n                \"M14\", \n                \"G6\"\n            ], \n            [\n                \"M14\", \n                \"N6\"\n            ], \n            [\n                \"M15\", \n                \"H6\"\n            ], \n            [\n                \"M15\", \n                \"C8\"\n            ], \n            [\n                \"M16\", \n                \"G9\"\n            ], \n            [\n                \"M16\", \n                \"H8\"\n            ], \n            [\n                \"M18\", \n                \"T9\"\n            ], \n            [\n                \"M18\", \n                \"C11\"\n            ], \n            [\n                \"M18\", \n                \"Z8\"\n            ], \n            [\n                \"M19\", \n                \"C12\"\n            ], \n            [\n                \"M22\", \n                \"N11\"\n            ], \n            [\n                \"M25\", \n                \"Y9\"\n            ], \n            [\n                \"M25\", \n                \"F9\"\n            ]\n        ], \n        \"travel_times\": [\n            [\n                \"M1\", \n                \"M2\", \n                2\n            ], \n            [\n                \"M2\", \n                \"M3\", \n                2\n            ], \n            [\n                \"M3\", \n                \"M4\", \n                2\n            ], \n            [\n                \"M4\", \n                \"M5\", \n                2\n            ], \n            [\n                \"M5\", \n                \"M6\", \n                2\n            ], \n            [\n                \"M6\", \n                \"M7\", \n                2\n            ], \n            [\n                \"M7\", \n                \"M8\", \n                2\n            ], \n            [\n                \"M8\", \n                \"M9\", \n                2\n            ], \n            [\n                \"M9\", \n                \"M10\", \n                1\n            ], \n            [\n                \"M10\", \n                \"M11\", \n                2\n            ], \n            [\n                \"M11\", \n                \"M12\", \n                2\n            ], \n            [\n                \"M12\", \n                \"M13\", \n                3\n            ], \n            [\n                \"M13\", \n                \"M14\", \n                2\n            ], \n            [\n                \"M14\", \n                \"M15\", \n                1\n            ], \n            [\n                \"M15\", \n                \"M16\", \n                3\n            ], \n            [\n                \"M16\", \n                \"M17\", \n                2\n            ], \n            [\n                \"M17\", \n                \"M18\", \n                2\n            ], \n            [\n                \"M18\", \n                \"M19\", \n                2\n            ], \n            [\n                \"M19\", \n                \"M20\", \n                1\n            ], \n            [\n                \"M20\", \n                \"M21\", \n                2\n            ], \n            [\n                \"M21\", \n                \"M22\", \n                2\n            ], \n            [\n                \"M22\", \n                \"M23\", \n                3\n            ], \n            [\n                \"M23\", \n                \"M24\", \n                2\n            ], \n            [\n                \"M24\", \n                \"M25\", \n                3\n            ], \n            [\n                \"m3\", \n                \"m4\", \n                2\n            ], \n            [\n                \"m4\", \n                \"m5\", \n                2\n            ], \n            [\n                \"m5\", \n                \"M6\", \n                2\n            ]\n        ]\n    }, \n    \"N\": {\n        \"color\": \"#1aaca9\", \n        \"transfers\": [\n            [\n                \"N1\", \n                \"T1\"\n            ], \n            [\n                \"N2\", \n                \"T2\"\n            ], \n            [\n                \"N3\", \n                \"T3\"\n            ], \n            [\n                \"N6\", \n                \"G6\"\n            ], \n            [\n                \"N6\", \n                \"M14\"\n            ], \n            [\n                \"N6\", \n                \"C7\"\n            ], \n            [\n                \"N7\", \n                \"Y16\"\n            ], \n            [\n                \"N7\", \n                \"Z4\"\n            ], \n            [\n                \"N7\", \n                \"G5\"\n            ], \n            [\n                \"N7\", \n                \"M13\"\n            ], \n            [\n                \"N8\", \n                \"M12\"\n            ], \n            [\n                \"N9\", \n                \"Y14\"\n            ], \n            [\n                \"N10\", \n                \"Y13\"\n            ], \n            [\n                \"N10\", \n                \"T6\"\n            ], \n            [\n                \"N11\", \n                \"M22\"\n            ]\n        ], \n        \"travel_times\": [\n            [\n                \"N1\", \n                \"N2\", \n                2\n            ], \n            [\n                \"N2\", \n                \"N3\", \n                2\n            ], \n            [\n                \"N3\", \n                \"N4\", \n                2\n            ], \n            [\n                \"N4\", \n                \"N5\", \n                2\n            ], \n            [\n                \"N5\", \n                \"N6\", \n                2\n            ], \n            [\n                \"N6\", \n                \"N7\", \n                2\n            ], \n            [\n                \"N7\", \n                \"N8\", \n                2\n            ], \n            [\n                \"N8\", \n                \"N9\", \n                2\n            ], \n            [\n                \"N9\", \n                \"N10\", \n                2\n            ], \n            [\n                \"N10\", \n                \"N11\", \n                2\n            ], \n            [\n                \"N11\", \n                \"N12\", \n                3\n            ], \n            [\n                \"N12\", \n                \"N13\", \n                2\n            ], \n            [\n                \"N13\", \n                \"N14\", \n                2\n            ], \n            [\n                \"N14\", \n                \"N15\", \n                3\n            ], \n            [\n                \"N15\", \n                \"N16\", \n                1\n            ], \n            [\n                \"N16\", \n                \"N17\", \n                3\n            ], \n            [\n                \"N17\", \n                \"N18\", \n                2\n            ], \n            [\n                \"N18\", \n                \"N19\", \n                2\n            ]\n        ]\n    }, \n    \"T\": {\n        \"color\": \"#1aa7d8\", \n        \"transfers\": [\n            [\n                \"T6\", \n                \"N10\"\n            ], \n            [\n                \"T6\", \n                \"Y13\"\n            ], \n            [\n                \"T7\", \n                \"Z6\"\n            ], \n            [\n                \"T9\", \n                \"M18\"\n            ], \n            [\n                \"T9\", \n                \"C11\"\n            ], \n            [\n                \"T9\", \n                \"Z8\"\n            ], \n            [\n                \"T10\", \n                \"G11\"\n            ], \n            [\n                \"T11\", \n                \"H12\"\n            ]\n        ], \n        \"travel_times\": [\n            [\n                \"T1\", \n                \"T2\", \n                0\n            ], \n            [\n                \"T2\", \n                \"T3\", \n                3\n            ], \n            [\n                \"T3\", \n                \"T4\", \n                6\n            ], \n            [\n                \"T4\", \n                \"T5\", \n                9\n            ], \n            [\n                \"T5\", \n                \"T6\", \n                11\n            ], \n            [\n                \"T6\", \n                \"T7\", \n                13\n            ], \n            [\n                \"T7\", \n                \"T8\", \n                14\n            ], \n            [\n                \"T8\", \n                \"T9\", \n                16\n            ], \n            [\n                \"T9\", \n                \"T10\", \n                18\n            ], \n            [\n                \"T10\", \n                \"T11\", \n                20\n            ], \n            [\n                \"T11\", \n                \"T12\", \n                21\n            ], \n            [\n                \"T12\", \n                \"T13\", \n                24\n            ], \n            [\n                \"T13\", \n                \"T14\", \n                26\n            ], \n            [\n                \"T14\", \n                \"T15\", \n                27\n            ], \n            [\n                \"T15\", \n                \"T16\", \n                30\n            ], \n            [\n                \"T16\", \n                \"T17\", \n                33\n            ], \n            [\n                \"T17\", \n                \"T18\", \n                35\n            ], \n            [\n                \"T18\", \n                \"T19\", \n                37\n            ], \n            [\n                \"T19\", \n                \"T20\", \n                39\n            ], \n            [\n                \"T20\", \n                \"T21\", \n                41\n            ], \n            [\n                \"T21\", \n                \"T22\", \n                43\n            ], \n            [\n                \"T22\", \n                \"T23\", \n                46\n            ], \n            [\n                \"T23\", \n                \"T24\", \n                49\n            ]\n        ]\n    }, \n    \"Y\": {\n        \"color\": \"#ede7c3\", \n        \"transfers\": [\n            [\n                \"Y1\", \n                \"F1\"\n            ], \n            [\n                \"Y2\", \n                \"F2\"\n            ], \n            [\n                \"Y3\", \n                \"F3\"\n            ], \n            [\n                \"Y4\", \n                \"F4\"\n            ], \n            [\n                \"Y5\", \n                \"F5\"\n            ], \n            [\n                \"Y6\", \n                \"F6\"\n            ], \n            [\n                \"Y7\", \n                \"F7\"\n            ], \n            [\n                \"Y8\", \n                \"F8\"\n            ], \n            [\n                \"Y9\", \n                \"F9\"\n            ], \n            [\n                \"Y9\", \n                \"M25\"\n            ], \n            [\n                \"Y13\", \n                \"T6\"\n            ], \n            [\n                \"Y13\", \n                \"N10\"\n            ], \n            [\n                \"Y14\", \n                \"N9\"\n            ], \n            [\n                \"Y16\", \n                \"Z4\"\n            ], \n            [\n                \"Y16\", \n                \"N7\"\n            ], \n            [\n                \"Y16\", \n                \"G5\"\n            ], \n            [\n                \"Y16\", \n                \"M13\"\n            ], \n            [\n                \"Y18\", \n                \"H7\"\n            ], \n            [\n                \"Y18\", \n                \"C9\"\n            ]\n        ], \n        \"travel_times\": [\n            [\n                \"Y1\", \n                \"Y2\", \n                4\n            ], \n            [\n                \"Y2\", \n                \"Y3\", \n                2\n            ], \n            [\n                \"Y3\", \n                \"Y4\", \n                3\n            ], \n            [\n                \"Y4\", \n                \"Y5\", \n                2\n            ], \n            [\n                \"Y5\", \n                \"Y6\", \n                2\n            ], \n            [\n                \"Y6\", \n                \"Y7\", \n                2\n            ], \n            [\n                \"Y7\", \n                \"Y8\", \n                2\n            ], \n            [\n                \"Y8\", \n                \"Y9\", \n                3\n            ], \n            [\n                \"Y9\", \n                \"Y10\", \n                2\n            ], \n            [\n                \"Y10\", \n                \"Y11\", \n                2\n            ], \n            [\n                \"Y11\", \n                \"Y12\", \n                2\n            ], \n            [\n                \"Y12\", \n                \"Y13\", \n                3\n            ], \n            [\n                \"Y13\", \n                \"Y14\", \n                2\n            ], \n            [\n                \"Y14\", \n                \"Y15\", \n                2\n            ], \n            [\n                \"Y15\", \n                \"Y16\", \n                1\n            ], \n            [\n                \"Y16\", \n                \"Y17\", \n                2\n            ], \n            [\n                \"Y17\", \n                \"Y18\", \n                2\n            ], \n            [\n                \"Y18\", \n                \"Y19\", \n                2\n            ], \n            [\n                \"Y19\", \n                \"Y20\", \n                2\n            ], \n            [\n                \"Y20\", \n                \"Y21\", \n                2\n            ], \n            [\n                \"Y21\", \n                \"Y22\", \n                2\n            ], \n            [\n                \"Y22\", \n                \"Y23\", \n                3\n            ], \n            [\n                \"Y23\", \n                \"Y24\", \n                2\n            ]\n        ]\n    }, \n    \"Z\": {\n        \"color\": \"#a384bf\", \n        \"transfers\": [\n            [\n                \"Z1\", \n                \"F16\"\n            ], \n            [\n                \"Z1\", \n                \"G1\"\n            ], \n            [\n                \"Z2\", \n                \"C4\"\n            ], \n            [\n                \"Z2\", \n                \"G2\"\n            ], \n            [\n                \"Z3\", \n                \"G4\"\n            ], \n            [\n                \"Z4\", \n                \"Y16\"\n            ], \n            [\n                \"Z4\", \n                \"N7\"\n            ], \n            [\n                \"Z4\", \n                \"M13\"\n            ], \n            [\n                \"Z4\", \n                \"G5\"\n            ], \n            [\n                \"Z6\", \n                \"T7\"\n            ], \n            [\n                \"Z8\", \n                \"M18\"\n            ], \n            [\n                \"Z8\", \n                \"C11\"\n            ], \n            [\n                \"Z8\", \n                \"T9\"\n            ], \n            [\n                \"Z9\", \n                \"G12\"\n            ]\n        ], \n        \"travel_times\": [\n            [\n                \"Z1\", \n                \"Z2\", \n                3\n            ], \n            [\n                \"Z2\", \n                \"Z3\", \n                2\n            ], \n            [\n                \"Z3\", \n                \"Z4\", \n                2\n            ], \n            [\n                \"Z4\", \n                \"Z5\", \n                2\n            ], \n            [\n                \"Z5\", \n                \"Z6\", \n                2\n            ], \n            [\n                \"Z6\", \n                \"Z7\", \n                2\n            ], \n            [\n                \"Z7\", \n                \"Z8\", \n                2\n            ], \n            [\n                \"Z8\", \n                \"Z9\", \n                2\n            ], \n            [\n                \"Z9\", \n                \"Z10\", \n                3\n            ], \n            [\n                \"Z10\", \n                \"Z11\", \n                3\n            ], \n            [\n                \"Z11\", \n                \"Z12\", \n                3\n            ], \n            [\n                \"Z12\", \n                \"Z13\", \n                2\n            ], \n            [\n                \"Z13\", \n                \"Z14\", \n                2\n            ]\n        ]\n    }\n}"
  }
]