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Repository: anthropics/courses
Branch: master
Commit: f4dbb137d7b0
Files: 110
Total size: 62.0 MB

Directory structure:
gitextract_dd700m32/

├── .gitignore
├── LICENSE
├── README.md
├── anthropic_api_fundamentals/
│   ├── 01_getting_started.ipynb
│   ├── 02_messages_format.ipynb
│   ├── 03_models.ipynb
│   ├── 04_parameters.ipynb
│   ├── 05_Streaming.ipynb
│   ├── 06_vision.ipynb
│   └── README.md
├── prompt_engineering_interactive_tutorial/
│   ├── AmazonBedrock/
│   │   ├── CONTRIBUTING.md
│   │   ├── LICENSE
│   │   ├── README.md
│   │   ├── anthropic/
│   │   │   ├── 00_Tutorial_How-To.ipynb
│   │   │   ├── 01_Basic_Prompt_Structure.ipynb
│   │   │   ├── 02_Being_Clear_and_Direct.ipynb
│   │   │   ├── 03_Assigning_Roles_Role_Prompting.ipynb
│   │   │   ├── 04_Separating_Data_and_Instructions.ipynb
│   │   │   ├── 05_Formatting_Output_and_Speaking_for_Claude.ipynb
│   │   │   ├── 06_Precognition_Thinking_Step_by_Step.ipynb
│   │   │   ├── 07_Using_Examples _Few-Shot_Prompting.ipynb
│   │   │   ├── 08_Avoiding_Hallucinations.ipynb
│   │   │   ├── 09_Complex_Prompts_from_Scratch.ipynb
│   │   │   ├── 10_1_Appendix_Chaining_Prompts.ipynb
│   │   │   ├── 10_2_Appendix_Tool_Use.ipynb
│   │   │   ├── 10_3_Appendix_Empirical_Performance_Evaluations.ipynb
│   │   │   └── 10_4_Appendix_Search_and_Retrieval.ipynb
│   │   ├── boto3/
│   │   │   ├── 00_Tutorial_How-To.ipynb
│   │   │   ├── 01_Basic_Prompt_Structure.ipynb
│   │   │   ├── 02_Being_Clear_and_Direct.ipynb
│   │   │   ├── 03_Assigning_Roles_Role_Prompting.ipynb
│   │   │   ├── 04_Separating_Data_and_Instructions.ipynb
│   │   │   ├── 05_Formatting_Output_and_Speaking_for_Claude.ipynb
│   │   │   ├── 06_Precognition_Thinking_Step_by_Step.ipynb
│   │   │   ├── 07_Using_Examples_Few-Shot_Prompting.ipynb
│   │   │   ├── 08_Avoiding_Hallucinations.ipynb
│   │   │   ├── 09_Complex_Prompts_from_Scratch.ipynb
│   │   │   ├── 10_1_Appendix_Chaining_Prompts.ipynb
│   │   │   ├── 10_2_Appendix_Tool_Use.ipynb
│   │   │   ├── 10_3_Appendix_Empirical_Performance_Eval.ipynb
│   │   │   └── 10_4_Appendix_Search_and_Retrieval.ipynb
│   │   ├── cloudformation/
│   │   │   └── workshop-v1-final-cfn.yml
│   │   ├── requirements.txt
│   │   └── utils/
│   │       ├── __init__.py
│   │       └── hints.py
│   ├── Anthropic 1P/
│   │   ├── 00_Tutorial_How-To.ipynb
│   │   ├── 01_Basic_Prompt_Structure.ipynb
│   │   ├── 02_Being_Clear_and_Direct.ipynb
│   │   ├── 03_Assigning_Roles_Role_Prompting.ipynb
│   │   ├── 04_Separating_Data_and_Instructions.ipynb
│   │   ├── 05_Formatting_Output_and_Speaking_for_Claude.ipynb
│   │   ├── 06_Precognition_Thinking_Step_by_Step.ipynb
│   │   ├── 07_Using_Examples_Few-Shot_Prompting.ipynb
│   │   ├── 08_Avoiding_Hallucinations.ipynb
│   │   ├── 09_Complex_Prompts_from_Scratch.ipynb
│   │   ├── 10.1_Appendix_Chaining Prompts.ipynb
│   │   ├── 10.2_Appendix_Tool Use.ipynb
│   │   ├── 10.3_Appendix_Search & Retrieval.ipynb
│   │   └── hints.py
│   └── README.md
├── prompt_evaluations/
│   ├── 01_intro_to_evals/
│   │   └── 01_intro_to_evals.ipynb
│   ├── 02_workbench_evals/
│   │   └── 02_workbench_evals.ipynb
│   ├── 03_code_graded_evals/
│   │   └── 03_code_graded.ipynb
│   ├── 04_code_graded_classification_evals/
│   │   └── 04_code_graded_classification_evals.ipynb
│   ├── 05_prompt_foo_code_graded_animals/
│   │   ├── README.md
│   │   ├── animal_legs_tests.csv
│   │   ├── lesson.ipynb
│   │   ├── package.json
│   │   ├── promptfooconfig.yaml
│   │   ├── prompts.py
│   │   └── transform.py
│   ├── 06_prompt_foo_code_graded_classification/
│   │   ├── README.md
│   │   ├── dataset.csv
│   │   ├── lesson.ipynb
│   │   ├── promptfooconfig.yaml
│   │   └── prompts.py
│   ├── 07_prompt_foo_custom_graders/
│   │   ├── README.md
│   │   ├── count.py
│   │   ├── lesson.ipynb
│   │   └── promptfooconfig.yaml
│   ├── 08_prompt_foo_model_graded/
│   │   ├── README.md
│   │   ├── lesson.ipynb
│   │   └── promptfooconfig.yaml
│   ├── 09_custom_model_graded_prompt_foo/
│   │   ├── README.md
│   │   ├── articles/
│   │   │   ├── article1.txt
│   │   │   ├── article2.txt
│   │   │   ├── article3.txt
│   │   │   ├── article4.txt
│   │   │   ├── article5.txt
│   │   │   ├── article6.txt
│   │   │   ├── article7.txt
│   │   │   └── article8.txt
│   │   ├── custom_llm_eval.py
│   │   ├── lesson.ipynb
│   │   ├── promptfooconfig.yaml
│   │   └── prompts.py
│   └── README.md
├── real_world_prompting/
│   ├── 01_prompting_recap.ipynb
│   ├── 02_medical_prompt.ipynb
│   ├── 03_prompt_engineering.ipynb
│   ├── 04_call_summarizer.ipynb
│   ├── 05_customer_support_ai.ipynb
│   └── README.md
└── tool_use/
    ├── 01_tool_use_overview.ipynb
    ├── 02_your_first_simple_tool.ipynb
    ├── 03_structured_outputs.ipynb
    ├── 04_complete_workflow.ipynb
    ├── 05_tool_choice.ipynb
    ├── 06_chatbot_with_multiple_tools.ipynb
    └── README.md

================================================
FILE CONTENTS
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================================================
FILE: README.md
================================================
# Anthropic courses

Welcome to Anthropic's educational courses. This repository currently contains five courses.  We suggest completing the courses in the following order:

1. [Anthropic API fundamentals](./anthropic_api_fundamentals/README.md) - teaches the essentials of working with the Claude SDK: getting an API key, working with model parameters, writing multimodal prompts, streaming responses, etc.
2. [Prompt engineering interactive tutorial](./prompt_engineering_interactive_tutorial/README.md) - a comprehensive step-by-step guide to key prompting techniques. [[AWS Workshop version](https://catalog.us-east-1.prod.workshops.aws/workshops/0644c9e9-5b82-45f2-8835-3b5aa30b1848/en-US)]
3. [Real world prompting](./real_world_prompting/README.md) - learn how to incorporate prompting techniques into complex, real world prompts. [[Google Vertex version](https://github.com/anthropics/courses/tree/vertex/real_world_prompting)] 
4. [Prompt evaluations](./prompt_evaluations/README.md) - learn how to write production prompt evaluations to measure the quality of your prompts.
5. [Tool use](./tool_use/README.md) - teaches everything you need to know to implement tool use successfully in your workflows with Claude.

**Please note that these courses often favor our lowest-cost model, Claude 3 Haiku, to keep API costs down for students following along with the materials. Feel free to use other Claude models if you prefer.**

================================================
FILE: anthropic_api_fundamentals/01_getting_started.ipynb
================================================
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "vscode": {
     "languageId": "python"
    }
   },
   "source": [
    "# Getting started with the Claude SDK"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Lesson goals\n",
    "In this first lesson, you'll learn how to:\n",
    "* install the necessary packages and authenticate with the API\n",
    "* make your first request to the Claude AI assistant "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "vscode": {
     "languageId": "python"
    }
   },
   "source": [
    "## Installing the SDK\n",
    "\n",
    "Before diving into the SDK, make sure you have Python installed on your system. \n",
    "\n",
    "The Claude Python SDK requires Python 3.7.1 or later. \n",
    "\n",
    "You can check your current Python version by running the following command in your terminal:\n",
    "\n",
    "```\n",
    "python --version\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "vscode": {
     "languageId": "python"
    }
   },
   "source": [
    "If you don't have Python installed or your version is older than 3.7.1, please visit the [official Python website](https://www.python.org) and follow the installation instructions for your operating system."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With Python ready, you can now install the Anthropic package using pip "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Use this command if installing the package from inside a notebook\n",
    "%pip install anthropic \n",
    "#Use this command to install the package from the command line\n",
    "# pip install anthropic"
   ]
  },
  {
   "attachments": {
    "signup.png": {
     "image/png": 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AAAB0jnMTpXmHvu/qbfsgpjQXAgBD2QEMQJFzd9pcEtPb1j07ientd+Z9AAAAAO+MzDucxpxrmzIXAgBD2QEMwI9ipSwAAAAAAPfMDmAAiii0AgAAAHMyx1zG/EYMwC1QAAagyK0eSXSr4wIAAAC+T0ppljmD+Y0YgFugAAxAkZxzpJTerJ7tJlKnz05X2Pb1+yzm0n4AAAAAp3LOV8lXXDsXAgAlFIABKNJNcPpWz54+myrm0n4AAAAAx/p2AH91vqL0uwFgKAVgAIrc6orUWx0XAAAA8H1OdwDPxfxGDMAtUAAGoIgVqQAAAMCczDGXMb8RA3ALFt89AACY0hwncwAAAAAAMBU7gAEoknOOlNKb45O64uvps0tipuoHAAAA0Gds3uHaOY2P+gHAUP8BAAD//+zd61dTZ74H8O/OHRJyIyIQIFzlIoJgFWKpokwvaLWdrrr0zJlOO53Oq9Mza03fzXlxZv6JWTPtWTNnzlqzVk9Xz6zVOmo7WuutRatWEUdRIAgICBIgN0JISPZ5gUS2iYoxAinfz5sZnv3snWdvE0p+v+f3PEwAExFRQua/hMT7MvJg22L6JOs8JoOJiIiIiIiI6EGCICxpvCKZ1yYiInpSTAATEVFCmGglIiIiIiIiolQhimJKxjJSb8RERLQSMAFMREQJ4YxUIiIiIiIiIkoV8SqAU0HqjZiIiFYCJoCJiCghqThrloiIiIiIiIhWJ1YAExHRasIEMBERJSQVZ80SERERERER0eqVirGM1BsxERGtBEwAExFRQlJx1iwRERERERERrV6MZRAR0WohW+4BEBERERERERERERFRLKasiYgoEawAJiKihKTisklEREREREREtHqlYiwj9UZMREQrARPARESUEC6bRERERERERESpJBVjGak3YiIiWgmYACYiooSk4qxZIiIiIiIiIlqdBEFIyVhG6o2YiIhWAiaAiYgoIak4a5aIiIiIiIiIVidRFFMylpF6IyYiopWACWAiIkrI/KxZURSlM2jnv0wtaJv/ghXTL1l9Hng9IiIiIiIiIqJ4khF3WMpYCKMdRESUCCaAiYgoIQtnzcadQRunLaZfsvo8pB8RERERERER0ULJijssdSyEiIjoSciWewBERERERERERERERERERJQcrAAmIqKECFxymYiIiIiIiIhSCGMZRES0WjABTERECYm71BERERERERER0QqVirGM1BsxERGtBEwAExFRQuZnzYqi+NgZtIvts/C6T3MtIiIiIiIiIqJ4khXDWKpYCCMgRESUCCaAiYgoIQtnzS5mBu1iZ9km81pERERERERERAslK+6wVLEQRkCIiCgRTAATEVFCWIVLRLS8CgsLUVJSDK1WG21zudzo6OiAy+VaxpEREREREa1MqRjLSL0RExHRSsAEMBERJYRVuKnDbDbDZiuAzWaDxbIGOp0WaWlpEAQZAoFp+P3TcDqdGBoaRH//AEZHRxEOh5d72D9YKpUKWVlZqK5eL2kfGRlFX1/fqkncWSwWlJWVIT8/T9Le0+OAw+GA2+1+qutrtVpUVVXBbDYlHOQJhyPw+bxwuz3weNxwu93w+aYW/fsvOzsbRUVFMBj00bbZ2Vl0d/dgeHgYoVAooXHNKysrw+7du7B27dpo261bfRgcHFw17yMiIiIioieRirGM1BsxERGtBEwAExER/QDJZDLo9Xps3rwZlZUVsNlsyMnJgclkQlpaOjQaNQRBwMzMDAKBAFwuF0ZHRzEwMICbN2/i0qVLGB6+g0gksty38oOjVqtRUlKCAwcOSNrPnz8Pr9e7KhJ3giCgrKwMb7zxBgoLbZJjV6504NChQ2hvb3+q19Dr9di5cwfKy8shk8kSukY4HIbf74fP54PP58Pk5CQGBm7j2rVr6Ovre2zwqKAgHy+99CKKioqibX6/H5999jmcTudTJ4BNJiOKi4uRl3c/iS6KItLSNE91XSIiIiIiWjlYAUxERIlgApiIiBIyX1EniuLc/7+XCBEfOD7fB1jwpUUQ7p/3mD4Pvlb0Z1GM24eAtLQ05OfnY9OmTdi9exdKSkqgVqvj9lUqldDpdLBYLCgtLcXmzZsxNDSEgoICXLhwAd3dPXC73awITiK5XA6z2YyamhpJ++joqGQp3x8yvV6P9eur0NjYEHPPOp0Ovb29uHHjBgKBQMKvodFoUFJSgg0bNkAulz/tkAEAwWAQg4ODaGs7i4sXL6KjowMej+ehEyWMRiPKyspQVVUVbfP5fPj22zYoFPwznIiIiIhoOSQj7pBILORJ4iUP9iMiInpSjDwREVFCFla+xauCi9t2/+Ci+8TrF/35MWNYbearfisqytHS0oJdu3ZBo9E80ZdGlUqFoqIiFBQU4LnnnsPBgwdx7tx3XBaakmo+KRov4b127VpUVFQgLy8PPT09yzC6h1OpVCguLobNZkNzczN+//vf49y5c0+9XDURERERES2dZMUdnjgWspg+cV6P0Q4iIkoEE8BERJQQzkRdeXQ6HXbu3IE333wTFRUVcftEIhGEw+FoMlcmk0Emk0Eul0v+TeVyOWpqalBWVoaPPvoIR458AafTyUQ7PTW5XI7a2hpJVeyDKirKUVdXB4fDkfT3nCiKi57MIAgCBEGIWUJaLpcjL8+Kt9/+GcbHx9He3o7Z2dmkjpOIiIiIiJJr/u/7VJN6IyYiopWACWAiIkoIE4Erz44dO/DjH7+BdevWxT0eDocxPj6O3t5e9PX1IRCYQW5uDqxWK/Lz86HX62PO0Wg02LdvH6anAzh48OBTLclLBMzti1teXo41a9Y8tI/NZkNNzQYcPXo06dW1LpcLw8PDi0oCazQaZGZaoNfroVTG/tm8bt06vPTSS/B4POjq6krqOImIiIiIKLlEUUzJWEbqjZiIiFYCJoCJiCghMXsA3/OwvXHitT1pn8WetxqVlpZi69atKC0tialWDAaD+Oqr4zh58iT6+/swPR3AzMwMRFGEUqmEUqlEfn4+Ghsb0dTUBJutIHquIAjIyspCa+sr8Pl8OHLkyFLfGv3ANDQ0ori4+JGfWaVSCZutEA0NDTh69GhSX7+9vR1//vN/w+v1PravIAhQKBQoKChAS8tO2O12mEym6HGZTIb6+nqcO3eOCWAiIiIiohSRjLjDs4xpPNhndUc7iIgoUUwAExFRQhLaAziB/XISvfZqolKp0Nraig0bqqFWq6PtkUgETqcTn3/+Ob755lvcunULU1NTcZ/V2NgYBgcH0d3djdbWVjQ0bIkeUygUKCsrw+bNz+HSpUsYGRlZkvuiHx6j0Yj6+jrk5ORE24LBIIaHh2G1WqFQKKKBjvz8PNjtjThx4gRCoVDSxjA1NYXBwcEnqiweGRnB5OQkgsEg9uzZA7lcHj2Wm5sDk8kEmUyGSCSStHESEREREdGzkay4w7OMaUhiLjG9iYiIHo8JYCIiSshqr7hdKWQyGbZs2YKGhi2wWCzRdlEU4fV68fHHH+Prr09gZGTkkUm06elp9Pf3w+12IxAIIC0tDVVVlVAo5v5USE9PR0lJCWpqNsRNAGu1WmRkZMRc0+/3R19XJpNBpVIhIyMDWq1Wsu9wOBzG1JQPd++OPfae1Wo1DAYDzGYzTCYT0tPTEQgEMDk5iYmJCbhcrmiFcyIEQYBGo4HRaITRaITBYIBer0coFITPNwWPxwO32w2Xy/XIJbEFQYBSqYTRaJRUZRsMBhgMhpj+Go0GZrMZ2dnZca/n9/vh9Xofe1+CIECtVkefj9lshlKphN/vx+TkxL1n5Mbs7OyST5yor6+DzWZDWlpatM3j8eCLL76A3b4V5eXroscyMjJQVlaGyspKXL16dVkneUxNTaGzsxM2mw1NTS/AYsmMHlOr1TAajdBqtYuqKl4pdDodtFpt3IoEr9eL6enpRz5zpVKJjIwMmM1mmM0m6PUGBIMzcLnc0c/hwyaczJPJZLBYLDGrFoRCIbjd7kXvqyyTyaDT6ZCeni5p9/v98Pv93J+ZiIiIiKJSMZaReiMmIqKVgAlgIiKiFCUIAlQqFXbv3oX8/PxoshaYS3y0t1/BoUOHMDnpWnRlosvlwrlz56BSqbBjRzOUSlX02MTEhOTnhdatW4cXXmiStHV1dePSpUvw+/2wWq0oLCzEmjVrYDDoodNl3EsA3x/vzZtdD11iWiaTIT09DVVV61FYWIisrCxkZmYiMzMTOp0W09PTGB8fh9PphNPphMPRC4fDgfHx8SdKHBqNRhQXF6O0tBQ5OXOVnSaTCQaDAaFQEF6vF273XIJraGgIN2/ehMPRGzfhLJfLkZW1Bq+88ookMaXRaFBQYIt57fz8fLS0tKCmZkPcsV29ehVtbWcxMzMT97hcLofJZEJlZQVstkJYLJboM1KpVJia8t17RuNwOsdw82YXbt26BY/Hs+jnk6j5ZPj27dsle/8Gg0EMDQ3h6NFj8PmmsHbt2mgCWCaTISsrCzt27MD169eXPYk3MzODiYlxTExMSBLAgiAgIyMDOp0uJRLAMpns3mSOGuTm5mJh/CsSEdHV1YWOjg5MT0/HPV+r1aKwsPDeZyQbmZkWWCyZMBqN0YkYTuc4xsbGMDQ0hH/+858YHx+Pu+eyQqHA1q125OTkQKlURtsnJiZx/vz5RS+rnZ2djfr6ehQXF0naT548hZ6enmV/7xARERERERERLTUmgImIKCGrecnllWI+wVhXVwedThdtj0QiGB0dxd///ne43Z4nXpbW6/Xi2LFj6OnpkSx1G4lE4PP5YvoLgoDq6vV45513JO3Hjh2D1+uBXK5Ac3MzGhq2SJb+XWhychJa7Ym4CWC1Wo3s7LWoqlqP119/DdXV1ZIK0geFQiFcvnwZx49/jYsXL2B4+M5Dk6YL76GgoAB1dXXYsaMZtbW10Ov1D+0fiUQwOTmJ7777Dl9/fQLXrl3D+Pi4JNEkl8uRnZ2D/fsPIDPT/MjXB4DCwkIUFhY+9Pinn/4fvv/+Utx70Wq1sFqtqK+vx+7du1BVVfXIme3BYBBnzpzB8eNf4+rVDoyNjSEYTN4yyw+a30f3wefqcrlw5coVDAwMYHZ2Fi0tO2GxZEaTgQaDAXZ7Iz755BOMjY3FTSIuJVEERDF1l3mWy+UoKirC66+/hubmZsnnMRwOo6enByMjdxCJRGJ+x88n5CsrK9HS0gK7vVGyH/KDQqEQBgcHcfDgQZw/fwEDAwPw+/2S68rlchQWFmHPnlcl1xodHYVWq0V3d/ei/luzcWMt9u17Exs2zE2eEEUR09PTaG+/kpIVHkRERET07KRiLCP1RkxERCsBE8BERJQwQRAgimL0f+O1PUmfZBxbTTQaNWpqaqBWqyVJjunpaTgcDpw5cyahyjdRFDEzM4MbN2481fgUCgUaG+2orl6P2trahK6hVCpRVFSEV199Fa+9thfp6emSexVFMfpemG9XKpXYsmULSkpKsH79enz66afo7Ox8aCJcJpPBaDTi7bffxvbt2x6Z1Fp4TmZmJlpbW9Hc3IwPP/wIx44dw+jo6JK/D9VqNdavX4/XXtuL5ubmmOT4wvHMPyOVSoWWlhZUVlbi6NGjOHz4MG7d6ntme9impaXh5ZdfliyHHYlEMDQ0jFOnTkMURQwNDeHq1auwWq1Yu3YtgLl/y5ycHGzduvXehILlq7BVqVQwm83IysqStIuiiMnJySfaU3ipCYIAhUKB3NxcvPvuu7DbG6PLkIuiGK3E/vDDD/H995dinrMgCLBYLNizZw927WpFQUFBTGI1EonEfA6Liorwq1/9Ct988w0++eQTdHRclUwiCQaD+Mc//oGtW+0wGAzR94bJZMLzz2/FX//615ik8YPUajVqa2tRVHS/+jcUCuHGjRvo6urC1NTU0z08IiIiIvrBSXZM4pnHO5b6ARER0Q+C7PFdiIiI4pv/MrIwOP9g25P0Scax1USt1mDDhg2SpVOBuWrarq6uR+75uxQKCwuxe/euhJO/AFBSUox9+97ET37yL3H3Kw2FQpiair/H51yC9hV88MGvkZGR8dBKQJ1Oh/feew8tLTsXlfxdSBAEpKen4+c/fyeajF9qNTU1+OlP/xWtra1xK6MDgRn4/f641bO5ubk4cOAA3nrrrZj9U5Nlfonk3bt3QavVRtunp6dx61Yvrly5Em07deo0BgcHJedrNBrs3bsnZo/ppVZevg5btmyOeY/4/dNwu93w+/3LNLLHk8vlsFqt+N3vfovm5u2SPahDoRAcDgd+85v/wLfftsVNsisUCrz77rs4cGA/bDZb3H2DfT4fgsFgzO9iQRDwwgsv4P33/z3md0E4HEZnZydu3uySJIZVKhVyc3Nht9uh0WgeeW+VlRUoLi6WrIIQCARw+PCRuCsWEBERERElOybxzOMdrAEmIqIEsAKYiIgSwmU1l59cLofFYpEs0wzM7ac7Onp3mUZ1X35+frSiLxE6nQ6NjXZs375d0u71enH69BmcOnUKvb1z+++qVCpYrVbs3bsHmzdvjia45pcefuutn+JPf/pzzL6mOp0OmzbVo7W1VZKcDAaDcDgc+Oqrr9DRcRWTk5NIS0u7l5RqhN1uj1apAoBer8frr78Gj8eDc+fOAZj7wu71enHlyhXJsscKhQImkxE2m3Qf4ImJCdy9exc+X/yKxYGBfoTD0kS3wWDASy+9KEmsRSIReL1eHD58BG1tbRgeHkIoNAutVouysjLs2fMqNm7cCJVqbj9ntVqN6upq7NnzKj7++H8f/Y+SAKPRiIaGhpj3qsPhwIULFyVVx52dnejp6cG6deuiCV+FQoGKigqUl6+D2+1+6opOtVoNs9kcM3EiHo1Gg8xMM2pqatDU1ISqqqqYPoODtzE5OflUY3qW0tPTUVNTg/ff/zcUFxdLJil4vV6cP38eH330X+jr64s7kSItLQ11dXXYtm2bJHHs8/lw/fp1HDp0GJ2dnQgEApDL5cjLy0NTUxN27GiWfEZKSorx/PPPY2RkBA6HQ/Iax48fR3FxkeRzkp6ejr1796C9vf2h+xEDQFPTC7Ba86I/z87Owul04syZMys6KU9EREREyyfV4hkCa4CJiCgBTAATEVFCVmPF7Uojl8thMBhivrxOTfkxOjq6TKO6T6GY+zMjEAhgYOA2bty4AZfLBa/Xg1BoVvIeCgQCuH37tuR8u92OpqbnYTQaAdzf1/Mvf/kfnD17FkNDQ5iamkIkEoFMJsPo6Cju3LmDcDgMu90OvV4PQRBgMBjw4osv4uzZc7h+/bokmaTT6VBeXgGv14OpqblqwUgkgitXOvDll1+gq6sbHo8HoVAIcrkcAwMD6O7uRm9vL/bv3w+r1Qpgbknoqqoq5OXlQSaTIRKJIBQK4fbt2/jjH/8oSXzq9Xo899wm/PKXv5Tcb1dXF44c+QLd3d1xn6fL5UIgIN3/t7W1FRs3bowmr8PhMMbGxvCHP/wRHR0duHv3LmZmZhCJRCCXyzE6Ooq+vj588MGvUVlZCY1GA0EQYLVa0dzcjIsXv4fD4UjqUtAWiwU/+lGL5BmEQiF0d/fg8uXLkr4zMzNob29HRUVFNKktCAJUKhW2bduOvr5+3Lp166nGs2nTJvz2t/+5qP2EZTIZVCoV9Ho9TCZTTJV0MBjE8ePH0dXV9VRjelZMJhO2brVj3759KC0tjSb9AeDu3bs4efIkPvvsc/T19cVdMWBuH+tsvP32z5CZaY5O6HC5XDhz5ht8+umnuH37Nrxeb3QJ6LGxMYyMjMDpdOIXv3g3WpWuVCrR1NSEwcFBDA8PSz6H7e3t6O3thc1miz5jlUqF2tpaFBba4PP5EAgEJGMTBAFZWVmora2V7LHtdrvR1tYGl8v1zJY0JyIiIqLUlmrxjNQaLRERrRRMABMRUcIete9uvH1rEjn/SY+tJoIgIC0tLSYBHAzOwOPxLNOopPr7B9DW1oYLFy5gZGQE09PTmJmZiUm+RSIRzMzcT25qtVps3LgRZWVl0aRTKBTC6dNncPr0afT390uqFSORCPx+PxwOBw4fPoLMzEzU19dDJpNBoVBg7dps7Ny5E4ODg5LEk9frxdmzZ9HT0xN9jqIo4s6dO+jt7ZX0nU/q+nw+yOUyWK1W7N+/P3o8IyMDa9ZYkJGhg9vtgSiK8Pv96Onpkdyr0WhEXl4eHuT1ejEwMICbN28+9rnOL6tst9uRm5u7IDHnxokTJ3HmzBl4PB5JAiwcDsPtdsPn8+Fvf/sb3nvvvehyvmq1GjZbIbZt24a+vuTtBazT6VBaWoKqqirJ+/T27du4caMT4+PjMed0dFxFXV0dKiuroFLdr9JtaNiCU6dOYXh4WPJeeVJmsxlms/nxHRehra0N3313Hk6nMynXS6acnBxs2/YCWltbUVVVFZ2QAQB9ff34+uvjOHbsK/T09Dw0GZ6RocP69VWorq6WnH/t2jV8+eWX6OzslJw7P0mjv78fbW1tKCsrw8svvxQ9np2djQ0bqtHefhnXr3dG291uNy5fbkdpaSnKy8sBzCXfMzIy0Nhox9DQMO7cuSMZm0KhgN3eiNzcnGg1tyiKcDqdOHHixKIS/ERERES0uj1tTGKp4h2s/yUiokT8PwAAAP//7N1rUFznmSfw/+luGvpONyBoJCRAQiB0QQIZ2SDHlnwZlR2NU5WxZ1KZVGXWNVOZ+bixa6dmP2wlTm2yyVZNXLPZfLFTo5KUlBPHY3tjW7Y8UjC6ICGBuIr7/aZu6Bs0faH7nP2AaXPUzaUPCCzx/1WpsN/3nNPvOX0aqd/nPM/LADARESm2XBA20bo1tL4kScLcXHzJVrVasylr0d4vFArh2rVreP/999HT05PUvZCVlYXc3FzZuq+iKGJsbAw5OTmyUrH3EwQBHo8HgUAQBsN8NqFGo8aRI0fw3nt/xOLkaL/fL1uDFpjPPNTrdbBa02G32xOWCjYYDHC55GV/BUGIBRe93gcbgBcEAXa7HXa7XbbubzgcgtPpRGFh4bITCrOzAXg8Htjt9ti9YjQacOTIEZw7d27dxpmba0dFRYXs/ZIkCa2trWhra08YpHM4HOjo6MTo6AgKCgpi7dnZ2Th48CB6e3vjssU3kiiK8Pl8aG9vx3/8x/tLZs9upp07d+Ho0cfw/PPPobi4WFaKvaurC599dhGXL1/GwMDAsp9Lk8mMvXv3yu6xSCSCmZkZpKSk4NChQ0vuazQaMTIygrm5OWg0GgiCAI1GjdzcXOzatUsWAJYkCY2NjSgrO4TCwkLZZ+748Wpcu3YNDocjdr8srL194sRJWVnq6ekZ9PT0oLOzi3/3EBEREdEDs5r5Dv57lIiINhsDwEREtGmUflniF6l584Eob1y2psGgR3b2tk0a1VdcLhdu376Nvr6+pN+znJwcmExGWZtarcb+/aUoKMiHKC5/PLvdDlH8KrgoCAJyc+1IS9MlfqJaEJCRkYHt27cjJycHGRk2mM1mmEymhMF0tVqNrKysuHaj0QSj0RTXvt5UKhXy8vLixmYwGFBefgT79+9f8Rhms1l276SmpsayKcPh8Jo/ZykpKSgoKERFxVFZu8fjQVtbOwYHBxPuF41G0dHRgaamZuTn58cyhwVBwNGjR9HS0oLR0dENLe8biUQQDocxMzODe/fuob29HZcvX0Zzc0tcaeLNZjQa8cwzz6CwsBD5+V+tMx2JRNDb24sPPvgQly9fXlWZeL1ej9zcXFmbKIooKCjA6dOnV9xfp9PFvU8WiwWZmfGfnaGhIXR0dKC8vDxWWh0ACgsLsXdvEQYGBuByuQDM36uFhYXYv79UFpweHx9Dff0trv1LRERERKuyWfMOyb4uZ0CIiEgJBoCJiEiR+8sO08aLRqOYnJyMC7Do9Xrk5ORs0qi+MjY2Dq/Xq6gUa05ODoxGeQA4JSUFx44dUzQWQRBgNpuRnm6BVpuCUCgc69NoNLDb7aiursbJkydRUlIc99qrpVarZGvdPigqlQo7d+5EWpo8AGw2m3H8+HFFx1xYU9pisSAQCKy5hG5WVhZKSoqxc2eerL2vrw9TU5NIS0tDWlpawn29Xi8GBgYQCoVk2xQX78XevUW4c+cOPB6PonH5/X64XG7ZAwJLkSQJkUjky31cGB4exp07Tbh27RrC4fCK+28Gu92O7du3y35HR6NRuN1u/Pu/n8G1a9cwPT29qmPp9XpZMBaYz5Dfu3cv9u7dq2h8ZrMZWVmZce3RaBRtbe1obm5Bbm5ubPwajQaVlZXo6OiE2+2GJEkwm0149tlnYDAYYttFIhEMDg7i9u1bisZFRERERFvHwzaf8XCNloiIvi4YACYiIkWYhbv5wuEwenp68cwz8jLQRqMJ27fvgEql2tAsyfu53S4Eg4GVN0wgO3sbDAaDrE2SpDUHJbdt2wa9Xh8LAKtUKmRmZuK1117D0aMVsmzChddc+HM/QRBkpXU3kiAI2L49F1qtVta+1mskSRJ27NgOl2sKgYDy4wiCgNLSUhw+fDhuciUSieDAgQPIy8tbYu95O3fugtfrkwWAtVotDhw4gJaWVly/fl3R2BoaGnD27Dn4/f5lt5svsT6HyclJ+P0ziEQejjVlEz2AEAqF0d3dg8bGxqSyY3U6XdzDJJIkQRRFxX8H6HQ6WCzpCX8/dXV1oampCU8//ZTss1hRUYHa2itoa2tDNBqF1WrDs88+KysVPV86vAOjo2OKxkVEREREW8fDNp/xcI2WiIi+LhgAJiIixRZK6S7+CSCubfHPpfZbr76tJBgMorGxIS4T0WpNR1nZIRQVFaG7u3vTgsDzgVNl+4bDYVkgU5IkBAIB3LxZv6YAp8fjlY0pOzsbr7zyCiorH0sYTJ2dncXQ0DBmZ/1x95fRaEJJSbHisaxVKBSSvbeiKGJqyoXm5mbFxwwGAwiH5xS/bwt0Oh1KS0tRUlIS11deXo6ysrIV70u1Wp1w/eX9+/fjwIEDuHnzpqJ7weebRl9fH7xe76q2X0uwczOEw2FoNBrZwwk6XRrKy4/g9ddfw69+9X8xNDS0qt8LohhFKBSStU1PT2NwcAgOh0PxGHt7e5GamopAQP6ASCgUQm9vLxoaGlBdXR1rNxqN2L+/FK2trXC73aioKEdGRobsHDs6OnDnjnw9byIiIiKiRNZ7TuKBz3ds9AUiIqJHAgPARESk2MKXkft/bmbfVjI3N4ehoWEMDw/DaDTG1oNVqVTIycnBX//1K/j5z3+R9BqlWq0W+fn5+P73vw+dLg0LXzf9/hncudOEd999d71PJc7ExARmZmZi/y8IAiKRCM6fP5+w7PVqeb1eWeanzWbDyZMnoNVqYw8wBAIB1NfX4+LFzzEyMoyZGT9EMSoLiqpUKuzbtw9vvPFjZSe4hNVWIhNFEcPDI7LgnEqlwuSkE7/5zW9k1y4ZoijC4/GsubzxoUMHsXdvUVxQHZgv5Z0osLtaZrP5y1LQe3H37t2k95ckEdFodM3Z5F9Xo6OjaGpqwr59+1BcPP+AgiAISE1NxbFjxxCNRvHb3/4ulk27nNnZAMbHx7Ft21driodCIVy5UosLFz5VPMZAIBAXWAbmf48PDAzg2rXrqKqqkq3/fPDgITQ3t6C/vx9PPvmkLPg7MzODjo4OdHd3Kx4TEREREW0d6z0n8cDnO5I+QyIiIgaAiYhIofuzfRcsfnp1pbZk91tpm60WBF7Iin3//Q9gs9mwc+fOWJ/RaERlZSWeeuopXL16ddUBQY1Gg7y8Hfje9/4WVVVPyAJ4PT29qK/fmPU1x8bG49YpValUMBoNuHv3blJlbJei1WqRkZGBnJwc2T11924HLl78HLW1tZiZmUkYbE5JSUF2dvaax7BYamoqUlMTr4l7P1EUMTg4GBdE02g0SE3VoqNjZNM+D2q1GuXlFdi9e/cDWVtLrVZj9+7deOyxxxQFgB91oVAItbW1uHv3Ll588UUcPHgQgiBAEAQYjUYcO3YMoijigw8+RENDA+bm5pY81uysHyMjIygrK4u1mUwmqNVqTE5OxmXwrgev14vOzk50dnbKMsh37NiOiopyZGVlYd++fbJ9Ojs70dXVvS6/F4iIiIjo0beWeYfFbes9p7FUGzOAiYhICQaAiYhIkZWyb1fT9qD32wokScLVq1dx+HAZjEYTbDYrgPkg2bZt2/DKKy8jPT0dV65cwcTExLIZfwaDAUVFRXjuuWdx/PhxmEym2BfOSCQCh8OBtra2DTmv8fFx+Hw+2ZdqrVaLU6dOYWBgEMPDw8tmARsMBlgsFtn6sQvHDQaDkCQJqampMJvNcdmoExMTGBwchM/nW/L4er0e2dnbEvQIK2bxiqKIubn4DFubLQOZmZnL7/wlSZIwODiIQCAgu0YZGRl47rnn0NXVHetbitlshtlslgX5o9EoRkdHEYlEltxvJfn5+SgpKUZGRkasTRRFuN1uhEKhpD+rKpUKVqsVqampsfPMzs7GwYMHkZ29DffuKS9F/Kia/6y2Ixqdz3YuKyuLZcxaLBY88cQTEAQBGo0a9fW3lsz4npnxY2hoSNaWlpaG0tJSHDp0CDdu3Fh2HBqNBtnZ2bHqBMD8PTY9PQ2Xy5Vwn0gkgtHRUdTU1MgCwDqdDuXl5SgqKoLZbJYd786dO+jt7d2yfw8QERERUXLWa95ho+dCiIiIksEAMBER0UNMkiRMTU3h88//E3Z7LsrLj8QCmhqNBkeOHEF6ejqsViuam5vgcDjh9XoxPT2NaDQKvV4PvV6PzMwMFBYW4rHHKlFdXQWLxSJ7ncHBQdy+fSsuGPSguN1u9PX1weFwxDJtU1JSUFVVhba2dnzxxRcYHx9PmL2Ynp6O8vJy7NtXApPJBGD+Ok1Pz+C9996LlcSORqOYm5uDKIqycrImkwlGo3HJrHK1Wo28vB0oL6+I69Pp0qDT6Zc9t3A4DJ9vOu6JcbvdjrKyMvT29sLhcMSt8RuNRhGJRCBJEkRRhNPpRHd3N+x2e+z9slgs+MY3voGWllbcunULbrc7LugvCAIyMjJQVVWFgoJ86HQ6AEAkEsXk5CR+97vfrSkA/MQTjyMvbyc0mvl/Zs5f+2n86U9/gs83nXT5bq1WiyNHDqOsrCw21rS0NOTn70JFRQU+/vgTxWN9lDkcDtTU1CAcDkMQVDh06KAsCFxVVQWNJgWiKOH27dsJg8DT09Po6OjE5OQkbDZbbP99+0rx3HPPweVyob+/P+H9YjAYsGfPHjz99FNIS0uL3euTk5NobLyzZAAYADweD+rqbuDb3/42rFYr1Go1ACA3Nzdu2/HxCdy9e3dNaxITEREREX2dMQxMRERKMABMRESKLQTIEgXKkulbvI3Svq3u1q1bKC7ei9xcO3bs2CELLBYUFOA73/kbVFZWoru7G8PDwxgbG0M4HEZmZgaysrJQXFyM0tJS5OTkxB3b5XKhpqYGNTVfrHlt2NWam5tDXV0ddu3ahRMnTsSyP00mE15++a9gMOhRX38LTqfzy6xSESkpWhgMBpSWluKb3/wmDh06GAuGRyIR1NfX46OP/hS7ZwKBABwOB3w+H9LT02OvvXt3IY4erYDT6YTP54Pf70c4HIZGo/ky8zcbTz75JI4fr44bt91uR0lJMXp7e3Hv3r2E5xYOh+F2uxAMBmWBsYwMG44fr0ZaWipaWlrh8/lkgbXR0VH09vbG2sLhMD777GIscJySkgK1Wo3s7Gy8+up/gdlsRnt7G9xuz5eBcglabSpMJhPKysrw8st/hZ07d8aCaz6fD1euXFH8ni28P5WVx7BtW1asPRQKobe3F2+99TZmZ2eT/sympqait7cXu3btkl2vrKwsPPnkN3Dp0mVFmcVbwdTUFGpraxEMBpGa+nfYvXs3UlI0sffqiSceh16vQzgcRmtrK8LhsOw6+v1+dHR0oKbmC5w6dQp6ve7LBwjm71VJknDhwgVMTk4iGAxCFMXY5yQ/Px/PPvsMnn/++dh7JooS6uvr0dW1/Fq9oVAIQ0NDqKurw8mTJ6HXzz9UkaikeH19PYaGhpctZU1EREREtNhq5hY2om/VcyHrfQGIiGhLYACYiIgUW/gyslypotX0JSonnWzfVhcOh3Hp0iVYrVa88MILMJvNsQxMYD6r9fDhMhw+XLbMUeQkSUIwGERNTQ0uXbqMsbGxBzH0JbW0tGL79h3Ys2ePbD3ZvLw8vPrqqzhx4gQ6OjowMXEPoVAQmZmZKC0txZ49e2AwGGLHEUURPp8PH330EVwut+z8fD4f2tra8fjjj0Otns9uzM3Nxbe+9S2UlJSgqakJd+924N69ezCbzSgqKkJ1dTXKyg7BYDDEZQ8XFhbipZdegiAIePvt3yQ8L1EU4ffPYmBgEHv3FsUCsMB8APn06dM4ffp03H5/+MO7+NWvfiUrTX39+nWUlBTDbrcjNzf3y7K+GuzevRs//OF/RXt7O7q7ezA5OQlJEpGTk4PS0lLs3r1bdn9EIhGMjY3h448/UZz9u5Bxnp//VVYxMP8AwRdf1CoK/gLz9/a1a9fwne/8DWw2W6ycsNlsxoED+1FQUIDu7u41ZS0/yrxeL65evQqv14vXXnsNO3fmQavVQhAE6PV6lJeXw2w242c/+1/o6+uLlUhf4Ha7cebMGRw4cAAFBQXQaucfqti2bRv+8i9Po6rqCTQ3t2B4eAihUBhmswl79uxBSUkJrFarbCw+nw+tra1obW1dcdyzs7P48MP/h6NHj0Kn0yUM/s7NzeH69esYHx9f41UiIiIioq1kNXMLG9G36rmQZc+GiIgoMQaAiYhIkYXJ+PvL2CZqW+02i4+7lv22qqGhYZw5cwb9/f347ne/i8LCwjUdLxKJ4NNPP8Pvf/8HdHcvn7H3IIiiiBs3biAzMwM/+MEPZOv5ajQaFBUVYc+ePbIvxiqVKu5e8Hg8ePfdd/HnP9dgdnZW1jc2NoazZ8/i4MEDMBqNsWCu1WrF448/jmPHjkGSJNl9trBNMBiE3+9HRkaG7DUtFgvsdvuy5zY5OYl33nkH//zP/00WAE6WKIr45JMLyMrKwksvvSRbazUlJQWHDh3CgQMHYm2CIMT+LDY4OIT33/8AdXV1SZdoXvx6L774ItLTvyofLkkSnE4nPv/8c8UPbCw8iHDlyhVkZ2djx44dsT6TyYTTp0/j17/+NaanpxUdfysIBAJobGzET37yBl5//XUUFxfHsuNTU1NRXFyMn/70f+JHP/ox2traYmXSgfnfAxMTEzh79iz+4R/+Hnl5ebH7JyUlBTk5OcjOzpa9v4nuMUmS8Mknn+Djjz+G2+3GSkKhEBoaGtDb2wuz2RzLAl4QjUbR3t6Ovr4++P1+xdeGiIiIiLYeJfMOK22jdL/VzIVwtoOIiJRQrbwJERFRvMVBsYX/Xqpttdusx35bmSRJ8Hg8+Pzz/8Qbb/wEf/zjH+Oy+VYjGAyisbER//Iv/x1vvfUW+vv7FQcF18rj8eCTTy7gjTd+gqamJtl6tgvBWLVaHfuz+EtyJBJBT08vzp07h3fe+T0CgUDc8YPBIDo6OvDmm2/i3r17sfNcfGyNRoOUlBSkpKRAo9FAkiS0tbXjl798E//6r7+E3++PC36t9BV9ZmYGV69exUcffQyPx7Ome9fhcOD8+d/i3/7t/6Czs1PWJwiC7PrcHyAPh+fQ0NCI8+fP4cKFC4rfZ61Wi/z8fBw+XCYL1DmdTjQ1Na/L+qx//nMNJiYmZNfKYDDgxImnkZmZuaZA+lYQiUTQ1dWFN998Ezdv3kQoFIr1aTQa5OTk4LXXfojq6moYjUbZvtFoFDU1Nfj5z3+BS5cuy7LQE30O77/PJicncebMGXz44YcYGRlZ9f0uiiIuXvwcTqcz4fl8+ulnqwomExEREREtpmTeYaVtHuhcyAZcEyIievQwA5iIiBTb6DVxVrP/VheNipienkZHRwemp6fR2dmJyspK7Nu3D1lZWdBqtQn3E0URbrcbPT09aGhoQF1dHfr7BzA7O7tpwV9gPvA0NTWFa9euYnx8HMePH0dVVRXy8nZAp9PJyi8vCAaDGBwcws2bN1BXdwN9fX1LBokkScLMzAxqamrgcrlRXV2NY8cqsX379rhjS5KEkZER3Lx5E7W1tWhrawcAvP3226ioqEBhYSEyMjJWdV6iKMLj8eD8+fNoaWlBZWUlCgsLYLPZYDabZdnOK4lEIhgfH8fFixcxNDSE6upqVFdXxd7vRNnxgUAA3d3duHLlChoaGjE4OCAL6iXLYrHg5MmTMJlMsus2v47r9XUpzzw+Po7W1jbk5e1EdvY2AIBarYbNZkNVVRV8Ph+mpqbW/DqPslAojPb2uzh37jz8fj+OHz8eC9hrNBoUFhbie9/7W+j1etTW1sLj8QCYv/f9fj+amprgcrnQ2tqK6uoqFBUVwWw2J7zHwuEwnE4nbt26jdraL9DV1Q2n05n0Wr11dXU4deovsH379ljZ8kgkAofDgRs3bjDzm4iIiIiS9nVZA3g1YwOYAUxERMowAExERIolWptmvfuS3Z/mhUIh9Pf3w+Vyobu7B7m5ubDbc2C12mAw6JGWlgZBEBAMBhEMBuF2u+FwODE+Po7h4eGk1/utr7+FX/zif8vahoaGMDExseZzEUURXq8Pzc3NmJqaQltbK2y2DFit6bBabbBYzFCp1PB4PPB43PB6fXA4HBgY6Mfo6CjC4eUDTqIowuVyo66uDuPj42hoaEBOTjYsFgtMJjNSU7WYmfHD4/FgZGQEPT3dGB4ewezsLFQqFT799FO0tbUjKysLNpsVarUa/f0DK55XNBrFwMAAXC4X+vr6kJmZCYPBAJ1OFyvPu1hPT7esNO9ikUgETqcT09PTmJiYQFPTHZjNFlitVthsNhiNxljQeeEa3bs3gZ6eXjidzjUHaGdnZ9HQ0ACn0ykLAI+OjuLu3Y41HXtBOBzGZ599FisJvECSRHR2dsVdm6mpKbzzzju4dOkSBOGrMfX39y95HddbR0cnzp49B5vNFmubm5tDS0tLwoz0ZDU23kEgEIDRaIq1ud0ujI8v/bkLBAJobm5GKBREff2tuIdC5ubmMDDQj3A4HLev3+9HV1cXPB4Purq6Yp8Tq9UGm80GtVqFmZkZuN0eeL0euN1uDAwMoq+vD+FwWNHv7IV1thffV36/H3V1N+BwOLj2MxERERElba3zDg+iL5ltiIiIVkPwuJ3824SIiJIyOjqGymNVmz2MhFJSUlBUVASfzycrF7zVCYIAg8EQW0tTp1sIAIcQDAbg8Xjh9/sfmmsmCAL0ej2sVissFgtUKtWXwU0PZmdn13QegiAgNTUVZrMZJpMpFgD2euev0XIBJ61WC41GA1GMIhgMLbndRhAEAWazGVar9b4AsAeBQIATCrRmgiBAq9XGHjRQqVTw+/1wu92YmZlZl+DsiRMn8E//9I/YvXs3AEAUJQwNDeKnP/0ZGhsbGQAmIiIiolUxGo1wuVwPZdWgH//of+DVV/9us4dBREQPGWYAExGRYiwB/fBYKHU8MzOz2UNZFwslaf1+P0ZGRtb92AuZ0cmuXRsOhxNmTm4GSZLg9Xrh9Xo3eyj0iJIkCaFQCBMTE+uS7b+YIAjQaDR46qmnZKXVA4FZ9PcPoLm5+aF5YIWIiIiIvp4elhLQRERESjAATEREirEENBERPQhqtRo5OTkoLz8Ci8USa3c4HLh+/RpCoc3NsCciIiKih9/DUgKaMx9ERKSEauVNiIiIEhMEIe5norbV9C13zGT6iIjo4afX63Dq1F/AbDbHfr9LkoSxsTFcuXJ1k0dHRERERI+CZOYdNnW+Yy0nSUREWxYzgImISLHlsnU3q4+IiB5ugiDAaDTihRdegF6vj7VPTEygtbUNTqdzE0dHRERERI+KZOYdNnW+Q8nJERHRlscMYCIiUiTRE66J+pfqW2qbpZ6kXe6JWiIienSYTCaUlR2G3W6HWq2Otff19eH27dtc+5eIiIiI1kUycxOJttuwuZA1nSUREW1VzAAmIiJFVsq+TXZNm6X6uAYwEdHWkpmZiaeffgparTbWNj09ja6ubnR1dW3iyIiIiIjoUZLsvMP9223UXAhnPoiISAkGgImIiIiI6GtBo9HAZDLCYrGgr68/1j44OIDW1hb4fL5NHB0RERER0cZjBjARESnBADARESkmCAIkSYr9XI+++7dJ9nWJiOjhJQgCfD4famq+kLWPjIww+5eIiIiI1pXSeYeNmO8gIiJaKwaAiYhIMaVlmldTwllp2SQiInp4zc3Nob9/AP39A5s9FCIiIiJ6xK1XuebV9iXzurK2JbcmIiJammqzB0BERA8vQRDifiZqW/zzQfUREREREREREa3Wes1JPOj5Ds58EBGREswAJiIixe5/snXxk6ob3UdEREREREREtFrrNSfxwOdClJwcERFtecwAJiIixZbLxE2mjxnARERERERERLSRlM47bPR8B2c+iIhICQaAiYhIsfVaE4cZwERERERERES0kZTOO2z0fAdnPoiISAkGgImIaNMsl8GrtI+IiIiIiIiIaCWbNbeQ7HwHZ0CIiEgJBoCJiEix1XxpYbCWiIiIiIiIiB4ma53v4FwIERFtNgaAiYhIseVKMK+mTPOD6CMiIiIiIiIiWsla5yQ2ar6DMyBERKQEA8BERKRYwtJE97Wt1zar3Y+IiIiIiIiIaCVfxzkNloAmIqL1wgAwEREplvDJ1Pva1mub1e5HRERERERERLSSr+OcRuIMYM59EBFR8hgAJiIixRKte3N/WzLbrKWPiIiIiIiIiGi11mtO4kHPdwjMASYiIgX+PwAAAP//7N3LboMwEAVQIfX/f9ldUSWp484ML4ees6mKh8A290KsAAagrLfvzeuxzMyWNQAAAICovTKJo/MOyQcAFQpgAMoib+BW39L1di8AAABwlCPzij0/WzoCQIUCGICyyBu43tIFAAAA7kIWAsAnUAADMCVflgAAAICjzJg79O5pvrsE4BMogAEoW3+aqPsTRYm1x5nqGgAAAEBWNnc4O++QfABQoQAGoGx9MrX7hGpi7XGmugYAAACQlc0dzs47mneAAShQAANQFnkKda+ZzBwAAABA1pk5hywEgCMpgAEoizyDutdMZg4AAAAg68ycQxYCwJEUwACU7bUnzuizs9cFAAAA2OLqvOPpmHeAAShQAANQtteeOKPPzl4XAAAAYIur8w4A2EoBDAAAAAAAE1IJA1ChAAagLPITzHvNZOYAAAAAjnB6FhKaAoBnCmAAyiI/TbTXTGYOAAAA4AinZyGhKQB4pgAGoGx9WvXxb+9YZG30mZE1AAAAgKxI7nBl3iH5AKDi6+obAOBzrU+rvv69Yg0AAAAgK5I7XJl3SD4AqPAGMAAAAAAATEkFDECeAhgAAAAAAADgJhTAAAAAAAAwocUuwAAUKIABKFuW919C1rXezGitMgMAAABQkc0drs5CACBCAQxAWWvv96FZ13ozo7XKDAAAAEBFNnc4Owtp9gAGoEABDAAAAAAAAHATCmAAAAAAAACAm1AAA1D2szfNaC2w783jzPJmpnc9e+IAAAAAW3Rzi9Ha2VlI90oAMKYABqDsZ2+a0Vpg35vnvW3en/96PXsAAwAAAFt0c4vR2tlZyPDuAaBPAQwAAAAAAFNSAQOQpwAGAAAAAAAAuAkFMAAAAAAATMkewADkKYABKFuW5df/vWOR8/6aiZ4HAAAAUHF1ptE91r9VABj6uvoGAPhcrbXh/9Fje54HAAAAUFHJKw7PQvq3CgBD3gAGAAAAAIApqYAByFMAAwAAAAAAANyEAhiAKdnfFwAAAPhP+nsAy0cAyFMAA1AWKWkVuQAAAMBdyEIA+AQKYADKWvt7H5rIzJ7nAQAAABzl7Cyk2QMYgIJvAAAA///s3VlsnPd57/Hv7PtGcThch5u4ytrFyJZla3EsOd4SIDuQomhO2l4X6OnlAXLuC3Q5QHOSmzYFehGfpq6dRIocy7Jly7asnRJFcRd3iuSQw9k4+7mgPDFDypZkyZLl3+eS/M///b/vO4YN/vw8jwJgEREREREREREREREREZFHhAJgEREREREREREREREREZFHhAJgEREREREREREREREREZFHhAJgEREREREREREREREREZFHhPlBH0BEREREvjpaW1upqanBbrczPz9PT08P8Xj8QR9LRERERERERETkkaEAWERE5EvKbrfT0dGO2+3GYDAyNjbK5OQU6XT6Mz9rtVppamqivHwDRqOJyclJJicnSSaTX8DJ5auso6OD3bt3U1YW4Nq1PkZHRxUAi4iIiIiIiIiI3EMKgEVERL6kXC4Xhw4doq6uDrPZzNmzZzlx4gQDA4MUi8VP/azdbmPPnifYunUrNpuNEydOcOJEXAGw3HdlZQHq68MEg0GWlmJYLJYHfSQREREREREREZFHigJgERGRLymz2Ux1dQ2NjU1YLGb8fj+pVIqZmRssLS196mdNJjMVFRU0NDTgcDjo7r6sIE5ERERERERERETkEWB80AcQERGRe6OsrIzdu3eze/dujEb9K15ERERERERERETkq0h/HRYREXmENDc38/TTT9HQUP+gjyIiIiIiIiIiIiIiD4ACYBERkUeI2WymtbWVl156CYfDcV+uYTQacblc96zK2Gw2Y7PZPnWNwWDAZDJhs9kwGAx3fS2bzYbdbsds/nJMwTCZTLhcLmw26+e67/vBaDRisVgeqtbhVqsVh8PxUJ1JRERERERERETki/bl+OuniIiI3Dav18vWrVt55plnOHr0KLlc7nPtZ7VaaWpqor29jWCwgkDAj81mJx6PEYlEmJmZoa+vn+HhYYrF4prPP/bYY2zfvg2Hw0EymeI///M/cTgcdHR0sHFjM8FgEIvFQiSyQF9fHx999BGJRIJisUh5+QY6Ojro7NxEIBDAZDIyPx9hamqK7u5url+/Tj6fv+XZ7XY7NTXVbNmyhXA4jMvlxmg0kslkmJ+fo79/gMuXLxOJRO7omRgMBkKhEN/4xnOlsPG9904xODjA8nJ63c+EQiE2b95MU1Mj6XSG69ev8+677656PxaLhWAwyKZNm2hpacHj8WC1WikU8sTjCaampujt7aW3t5dMJrPmGm63m8cee4zNmx/DYDDQ03OVnp6eW97frl27aG9vx+l0MDs7x9GjR0mlUqVn19XVRUdHO5lMlsnJSd544w1aWlpobW2hri6M3+9jdHSU3//+GHNzc3f0DD+NzWZj48aNdHXtwmq1AnD69Gn6+wdIJBKldWbzyizrrVu30tDQgN/vw2Qyk8tliUajDA0Nc+HCBebn51c9Z4/Hw6ZNnWzZsgWAyckpzp8/z8TExC3PtHXrFrZu3YrdbieZTHLkyFEWFxc/9fsnIiIiIiIiIiLyICgAFhEReUR0d3djMplLoeqzz36dwcFBBgcH1w0Lb0dFRZBt27azc+dOmpqa8Pt9uN1uTCYTmUyGWGwlBO7tvcapU+9x8eKlNYFzOBxm//79+Hw+otEob7zxBk8//RQ7d+6ivj6M1+vFZDKRSCTo6Ghnw4Yy3nrrBF6vl927d9PVtYuGhgbcbjcA8XicSCRCbW0t77zzDleuXKFQKKw5u8vloqOjg2eeeYaWlo2EQiGs1pVK2nw+TywWo7Ozk6amRl5//Td3HObZ7Xba29tpbGzEaDSSTCaJRFbC6fU0Njby9NNP0dnZSSQSYXFxcVVVr8VioaWlhX379tHZ2UltbQ0OhwOj0UixWLwZWs/T1tZGdXU1b7/9NsvLy6tCd4fDQWtrK88++2ypQntsbOyWAfDGjRvZv38ffr+fwcEh3nrrrdKeFouFzs4Onn32WVKpFL29vfT09PDSSy/R0rKRiooKnE4nFy5c5N1337tnAbDFYmHTpk08++zX2bZtG8Vike7ubrLZ3Kr3Y7PZCIfDvPDCC7S2tlBZWYnT6cRoNFIoFEgmk0xOTtHS0sLvfvdbxsfHyWSyABgMK9+PQ4cOATA9PcP8/DyTk5Pr/k8MTqeTLVu28Nxzz2E0GhkfH+c3v/ntumtFREREREREREQeNAXAIiIij4hLl7pZWopiNBpob2+nubmZw4cP88orrzA9PX3HlYpGo5HHH3+cw4cP09DQQD6fZ3FxkZmZGbLZLD6fj0AgQHNzM6FQCK/XQyq1TE9Pz6p9rFYrHo+nFPTu3v019u8/gNPpJBqNEo/H8fv9+Hw+Ojo6CAQCLC+nqa6uoqurC4/Hw9zcHDMzM3i9XsrKyqivr8fr9VEsFkvB3SfZbDZaW1s5fPgQe/fuxWAwEIlEWFhYIJ/P43Q6CQQCbNq0idraWpLJJMePv0UkElk3TP5TxWKRRCLBwMAgmzdvxmw2097ezuXLl9cNgA0GA42NDTQ1NeHxeIhEIly7dq10LZPJRFNTI888c5CDBw/idDpZXl5menqaWCyG1WrD7/dTUVFBMBikurqaeDzGhQsXicfjn3hnBux2G16vF6PRiN1ux2S6datum81Wejdut2tVIG0wGLDbHXi9XqxWKzU1NRw+fJgnn9yD0WgkHo8TjUaJRObvWRWsyWSira2Nr3/9GR5//HGMRiPXrl3jzTePMzg4yPLyMrASEtfV1XL48GEOHz6E0WhkcXGRkZER0uk0NpuNQCBAS8tGGhrqyWTSHDv2BuPj4+RyOZLJFGNjYxQKBbxeLw0NK5XiTqdzVYXxxyorK6mrC1NeXs7S0hIzMzMsLS3d1ndFRERERERERETki6YAWERE5BGRzWa4dKkbk8lEZWUlPp+PZ545yMBAP++9d4qFhYXb3stoNBAMlnPw4EEaGxvJZrMMDg5y7tx5JibGSSQS1NfX097eQUdHO+Xl5WzZsoXFxeiaAPiT7HY73/zmN5mdnePs2bNMTk5is1lpbW1jx47tbNiwgaqqKl566SWcTgexWIyTJ08yMnKddDpNXV0djz++m+rqagIBP52dnfT19a0KgA0GA+FwmIMHD/DEE0+Qz+eZmJjk7NkzDAwMksmkKS8vp7NzpQWw3+/ne9/7HtFolA8++JBoNHpbzygej3P+/HleeOF5TCYTDQ0NhEKhUgXqJ7ndbmpqaikrKyOdTjM9Pc3g4GApOK2srOTAgYM8/fTT2O12otEo3d3d9PcPMDU1hcfjpqmpiba2NhobG2lsbOC73/0uyWSKq1evlto23y8Wi4Wqqiqee+4w09MzTExMMDU1SSKRZHb2xrqh6Z0yGo3U19fz/PPfYPfu3TfD3z5effVVzpw5U3qmK+23K9i7dy+HDq1UOk9NTXH+/AX6+q6xtBTD5/PS2trKrl27CAaDPPfcc8TjCY4fP8709DS5XI65uXl6enrYuXMnNpuNuro6QqEQQ0NDa87W1NREZWUlAEtLS5w9e07VvyIiIiIiIiIi8tBSACwiIvIImZ+f4+zZc9TVhTl06FlsNhsvv/wyN27Mcv78ebLZ7G3tYzSa6OzcVKqsHBoa4ve/P8bJkydLa06f/ojKykr+/M//nAMH9uN2u2lqasRkMn1mRegvf/lLBgYGSq2pq6qqWFxc5Lvf/Q4AjY0NjIyM8Jvf/IY33vjDqnPPzs7yrW99k3A4jM/npbq6atXedrudZ545yN69ezGbzUxMTPIf//EfnDp1atU+586d5/nnI7z88st4vV6+//3vMz09Q3d3921VdqZSKQYHB5mZuUFtbQ3BYJDKyipcLhexWGzV2oaGBoLBIGazmRs3bnDlSk/pLEajkQMHDvDkk0+W2mSfPn2af/iHf1zVTttms9HV1cVf/uVPqKqqoqOjg+eeO0wsFqO/v/8zz/t5mEwmbDYbs7Oz/OxnP6Ovr69UjXsvGAwGAoEA3/ved9m1axd2u50rV3p49dVXOXXq/VVrrVYrO3fu5MUXX8Rms5FKpfiv/3qVt99+m8XFxdK699//gKmpKX74wx/icrl4/vlvMD8/z40bNygUCiwvL3Pq1Ck2bdpUaiddU1OzJgA2Go00Nq6E+4VCgYWFBS5duqQAWEREREREREREHlq37gkoIiIiX0qjo6McOXKEyclJCoUC9fX17N+/n+bm5tveI5fL8c477/C3f/s/+Yu/+DE//en/5r333luzbmZmhuvXR1hYWMBisRAIBAiFQphMpnX3XV5e5r//+78ZGxtbNZd4bm6O999fHfSdOXOGCxcurAmtz549y+zsyrxZj8dDZeXqALi5uYn6+npcLhfz8/O8//4pTp48uWafsbEx3nzzOAMDAxSLRWpqaqirqyvNGr4d6XSa06dPk0ymMBgM1NbWUldXt2ZdS0sL5eUbbt7rPN3d3aXfeb1eWlpaqKgIksvlGBwc5N/+7ZdrZimn02muXLnMK6+8UvrZtm3bqaiouO3zfh6Li4v8y7/8jGvXrt3z8NfhcPBXf/WXdHV14fV6uXz5Mq+++l988MEHa9bX1FTT3NyM1+sllUrx/vvvc+LEiVXh78fnPXLkKFeu9JBOpwkGg4TDYQKBALDyXTx9+iOSySTFYpH6+npqampWtcGGle9YTU0Nfr+PpaUlhodHmJ+fv2f3LyIiIiIiIiIicq8pABYREXnE5PN5xsfH+fd///dSa+Ddu79GV1cXGzZsuKN9MpkM6XSabDa7blVssVgkGl1iaWkJWKkU9Xq9a0K0j+VyOfr6+kmn02t+vrQULYVxxWKRmZkbzM9H1uwxOztLKrWyzmw2Y7fbVv2+qam5dJ+xWIzBwaFbnj2RSDA0NEyxWCy1jv44ILwdmUyGDz54n2RypQVybW0t4XB41RqDwUBrawsbNmy42f55alWVaXNzM36/H4PBQCwWY3R0lEhk7X0DRKNL9Pf3E4/HKRaLeL0eqqur8Pl8t33mu1EoFIjH41y7dm1VcP95GQwQDJbzk5/8hJ07d+JyuThz5gyvvfYa589fWPe91dTUUFNTA6yE4r29veueqVgsllqXp9NpDAYDlZUhqqoqS/cUi8Xo6ekhHo/jdDqpqqokGAyu2qetrY2ysjIMBsPN6u0rqv4VEREREREREZGHmlpAi4iIPIKSySTd3d384Q9vcuDAfjweD3v2PMH8/DzHjh27o72MRiNer5eKigpCoRAbNmzAbrdhtdqw2Wy0tbWtqkK9VfUvrIRukUhkTYvoYrFIPl9YFfil0+l1g71cLkc+ny+Ftn8aNpeVBXA6nQA3578eprGxcd3z+P0+tm3bXtrD7/fhcDg+44n8UT6fZ3h4mMnJKcrKyqiqqqS2thaLxVKqOK6uriYUCmG32xkfH2dwcHBVBe2GDWWlEDsej3Pjxo1bttAuFAokEklmZmZoaGgoBe5Op/O2ZxffjUwmQyQSIZVK3dPwMxwO84Mf/IBwOIzb7cZgMHD27FkuXeq+5Vxjj8eL1+sFwOVycfDgQSorq9Ztb261Wti1a1fp++ByuXC7PaXfFwoFzp07T1tb281q8koaGhq4ceNGaU17ezuBQIBiscj09AxXr169Z/cvIiIiIiIiIiJyPygAFhEReQQVCgUWF6McPXqU2tpaOjs7qK2t5fHHdzM5Ocn169dva5+amhp27txJU1MTgYAfr9eL2+3GYrFgNpsxm824XC5sNttnb3ZTNpv9zBBxpQq4cFdho8vlxmq1AuB2u+ns7Fy3LTOAxWJZVT3rcDhKn70dxWKRZDLF1atXqaurvTkHOERlZSVjY2MYDAba29vx+XwYjUbGxyfo61s9r9flWnmesDJXeGFh4VOvmctluXHjBuFwGJPJhMPhuKPnfzcKhQLpdPqeV776fD46OztL918sFnG5XNjt9jVzlD/mcDhKIb3FYqGlpaU0n/dPGY1GAoFAKeC32+3Y7fbS74vFIt3d3Rw+fIiqqioqKytpamri9OnTwMq84Y0bN+Lz+VhYWGBsbEztn0VERERERERE5KGnAFhEROQRlc/nGRoa4q233sLn89LY2EhbWxv79j3NkSNHPvWzRqORcLiOAwcOsnfvXqqqKkmn00QiERKJBNFolGw2Ry6Xpbq6msrKylKI96AZjX+sCo7H44yNjZFMJm+53mAwlILNoaFhEonEHV/z4sUL7Nq1k4qKCoLBCpqbm0sB8ObNm/F4PCwvLzM+Ps7o6Oia63+sWCyuG2R+UrHIqjW3arf9ZWA0Gsnn88zMzBAMBjEajezYsYPJyUlOnXp/3ff2yarvbDbL0NAQiUTiluH0J9/v+Pg40ejqWcE3btzg+vXrhMNhysrKCIfrcDqdLC8vU1NTQygUwmaz0d/fz/Dw0LqVxiIiIiIiIiIiIg8TBcAiIiKPsGKxyHvvvUddXR0+n49gMMiOHTtIJBK4XC6MRuO6nzObzezbt4/Dhw9RVlbGzMwNrl7toa+vj/n5CKlUkuXlNOl0mgMH9rNv3747mp17P6VSqVJINzc3x/HjbzEyMnLL9UajgUJhJSCMxWLMzs7e8TUHBgaZnp6msbGRYDDIxo0bOXnyJA6Hg5aWFpxOF5OTk4yNja2pbE2lkuRyOWClQtXn83/qtcxmM+Xl5aV3t7y8TDa70ir7TzNQo9GIwbD+O4aVdt23+g58EVKpFNevj3LmzBn2799HKBSivb2dxcVF5ubm6e7uXtMOO51Ol2ZIJ5NJ3nnnJENDQ6Vn+Kc++X6TyeSaCt5CocCVKz20tbXR2tpKRUUFtbW1DA8Ps3nzZtxuF8VikdHRUYaGhu/DUxAREREREREREbm3FACLiIg84hKJBCdOvMWGDWU89dRTVFVV8e1vf5vZ2VnM5rX/KWAwGLDZbOzevRuPx0M+n+fDDz/k17/+NZOTk2vWt7a2kkgkHpoAOBqNlmbs5nI55ubmuHTp0n29ZiKRYGBgkJaWFiorK6mvD+P1eqmpqaG8fAMWi5nBwcE11b8ACwsLpUDT7XaXKmFv1dLY4XBQWVmJ0WikWCwSi8VIJlfm5RaLRXK5Pwamdrt93Xf88V4ulxObzb7u778IMzMzvP7665w4cYJ0Os3zzz9PKFTBtm3biccTzMzMMDU1teoziUSceDwOQD5fYGlpiZ6enlVzle9Ub28v09PTbNy4Eb8/QHt7O+Pj42zZsgWn00kikWB0dGzNWURERERERERERB5GD67kQ0RERL4wg4NDvP/+B/T3D1AsrlR+VlZWYjKZ1qw1mUyUlZWV2jovLi4yPDy8bvhrMpkIhUIEg8Ev4jZuy/Xro6U5um63m3A4fMs2yQaDAbPZjMViwWKx3KyYvbuWyr29V5mcnCw9v8cee4wdO3ZgtVopFAoMDg4wNrY2AB4aGmZpaQkAj8dDXV0tTqdz3Ws4HA5qaqrx+XwYDAZSqRRTU9NEo1FgpSXy3NxsqeWxz+fD6XSsu5fP58Pv92O339/5wZ9mcTFKb28v2WyWX//613R3XyIej+N0Oti5cwcvv/zSmu/o9PQMMzMzwB9n9H5a+3GTyVR6vyaTad33Ozk5yfj4OPF4nEAgQGdnJw6Hg87ODhwOB4ODQ0xMTKypRhYREREREREREXkYKQAWERH5ijh37hxvv/02i4uLn7quUCiQTK60JS4Wi/h8PsrLy3G5XGvWdnV10dragtVqvV/HvmN9fX1MTU2Tz+epqKhg376n2bz5sXUrYWtqavibv/kbfv7z/8svfvFznn/++buuZF4JCSfJ5XJ4vV527tzBjh3bsVqtTExMMDExSSKxdqbt3Nwc16+Psri4iMViYePGjfzgB99fs85kMtHW1sb3v/+D0s+uXOlhdna2VC2cTi8zMTFRCoBbW1upra1b834MBgMHDx6koaHxru71fsjlcvzqV6/Q3d1NNpslEAjwta99jUOHDq1qUz02Nsbw8Ai5XA6Xy8nBgwfYsWM7brd7zZ5Op5O//uu/5p/+6R/5xS9+zo9+9CMqKyvXvf7g4CAjI9dxuZy0tbWyZ88TpTbpfX3XGB8fv2/3LiIiIiIiIiIici+pBbSIiMhXRDKZ5Pz581RUVPCd73z7lpWuHwfA16+P0t7ehtVqpatrF7lclu7ubmZn5wgGy2ltbWXPnj00NDRQLBbvunL2XovFYpw4cQKfz0tXVxc1NTX8+Mc/5t1332VoaJhIJILVaqW5uYmuri62bt2Ky+ViamqKmZmZNTN6b9fKPNsRJiYmqK6uZs+ePdhsNsxmMz09PczMzJSC2U8qFAocP/4mXq+Xp57ai9/vZ9++fZjNZvr7+5mcnMLjcbNxYwtbt24hHK6jUCgwNTXFkSNHVrWVTqczzMzMkEot43a7cLlcHD58CL/fT0/PFZLJJH5/gM2bN7Njxw7KygLk8/l1K8G/aMVikampKY4dewOHw8mOHdsJhUK8+OILjIyMMDg4SCaTIZFIcPbsWSorQxw6dAi3280Pf/hDGhoauXbtWmmGc21tLV1du9i1axder5dIJEIkMk8kEln3+oODQ4yOXmfLls03/xn5DjabjXg8ztDQMHNzc1/k4xAREREREREREblrCoBFRES+IorFItPT03z44Yc0NzexY8eOW67NZDKcOHGC8vINVFVVEQ6HcblcbNu2jUQiidPpoLy8nHg8zsjICMFgkFAo9AXeza3l83l6e3txu11YrVa2bdtGS0sLHo+HxcVFUqkUJpOJQCBAKBTC4XAQjUZ5/fXXGRoaIpvN3tV1C4UCIyMjjIyMUF9fj9/vL/28p+dqKZhcz+joGH/4wx+wWCzs3fskwWCQ/fv3s3nzZmKxGDabjUAgQCAQwGQyMTs7y69+9QqXL18mkUisOsPCwiKvvfYaL7zwPD6fj4aGBrxeL9u2bSWbzWK32wmFQgwMDJDJpKmtrV23evZByGazXLlyhfLycvx+H01NTYTDYb73ve/yr//6b0xMTJDL5RgdHeX48bdwuVw89dRT1NfX43Q62b59W+l5eL1eqqqq8Hg8xGIxjh9/i4sXL5XmLf+pubk5RkfHWFhYIBAIUFVVBcDAwAAzMzNkMpkv7DmIiIiIiIiIiIh8HgqARUREvkIymQzDw8McO3aMcDhcChT/VC6X4/Tp03g8Hp544nHC4TDV1dXU1NRQLBbJZrP09/fzzjvv4PX6ePzx3Q9NAAwQj8e5ePESRqORfL5Ac3MTtbW11NXVldbk83mi0ShXrlzh0qVu3nnnZGl28N0aH59geHiEJ554AqvVWqpqHRsbIx6P3/JzmUyGa9euYbGYKRaLdHR0UFkZoqysrLSmUCiQSCTo7+/no48+4tSpU8RisTVVxcvLyxw7dgyPx83WrVsJhUKEQiEqKyspFouk02muXr3Km2++ydat2x6q9wawtLTE2bNn8fv9BAIB/H4/u3btYmxsjKNHf8/U1BSpVIr+/n5+97sjGI0mWlo2Ul5evqq988eV7N3d3XR3r7zf9eZYfyyTyTA+Ps7w8MiqNuDd3d2q/hURERERERERkS8VBcAiIiJfUsvLy5w9e5aJiXFMJhMjI9fJZD67ejUej3P27Dlqa39PKBTCbDbR399HMvnH+bTFYpHZ2VmOHj3K3Nwsra1tlJWVYbfbyWazLC1FOX/+PBcvXiIcrsNkMjI6ujLHNhqNrgolx8fHeffdd3G5XCQSCTKZzLqtkFOpJCdPnsRmswEwNTV9y3u4cuUKuVyeYrHAwMDgumsWFhb46KMzLC3F2Lp1C1VV1TgcdoxGI9lsjmQywfT0DN3dl+juvkw2m133XHdiaWmJ+fk5lpeXS3N3L126RCQSKc3pvZVUKsXly1dYWooxMjJCU1MTDocdi8VCPp9neXmZ2dk5rl69yrlz54jH4+ueN5/PMzU1xW9/+zvGxyeor68nEPBjtVpJp9MsLCxy+vSHXL58hUKhSLFYuNkCe3pVlWs2m+XatWs4nQ7S6Qyjo9c/17P52NDQEKdOncLr9XL9+vVV37uPTU1NcerUKSwWcymgNhgMq+Y4JxIJLl++TCqVYvv27dTV1eJyuTGbTeTzeZLJFAsLES5dusTly1eIxWKf+Q4WFhaYnp4CtlMsFkkmk/T29n7m3GwREREREREREZGHiWFxYfbz/aVTRES+ciYmJvna7j0P+hjrslgstLS0sLS0RD6ff9DHeWQYjUZcLhcej4dUKsXi4uLnDku/SAaDAZfLhc/nxWKxkEymiEajt2wHfLccDgeHDx/mz/7sR7jdbpaXl/n7v//7m4Ft4rM3+MR5rVYrfr8fl8tJJpNlaWmJRCJxx99rs9mM1+vF5XIRj8eJRqOfGYR+GTmdTrxeLzabjUwmU2r3fbsMBgMdHR1861vfZP/+/eTzeS5evMg///P/YWJi4j6eXERERERE7je3200kEmF+fv5BH+WO/fSn/4uf/I8fP+hjiIjIl4wqgEVEROQzFQoFYrEYsVjsQR/lrhSLReLx+Ke2Yb5bBoMBg8GAyWSitbWVxx57DI/HQyaTYWRkhMuXr9xR+PvxedPpNDMzM5/7fLlcjkgkQiQS+dx7PcySyeS61cSfxWg0YjQasVqtdHR0sHXrVmClwv6NN94gGo3e66OKiIiIiIiIiIjcVwqARURERO6SwWDA4/Hgcrlobm7iwIEDbN++HVhptf3aa6/fVSgpXwyTyYTf7ycUCrFt2zaefHIPfr//5jzgCc6cOUsicWfhvYiIiIiIiIiIyIOmAFhERETkLtntdl588UV2795NWVkAt9uNw+EgFotx4cIFTp8+vWqurjw8jEYjXq+Xv/u7v6OiIojT6cTlclEoFJiamuL//b9XSCaTX6pW5yIiIiIiIiIiIqAAWEREROSuGY1GAoEAtbU1eDwe0uk0w8PDnDlzhrfffudL2zL7q+Djtt21tTUEg0EKhQJLS0v09vZy/Phxzp+/QC6Xe9DHFBERERERERERuWMKgEVERETuUjab5cKFCzcrRQvEYnFmZ28wMjLC6OjYgz6efIpCoUAqleLIkaM4HHYSiQTR6BITExP09fWpdbeIiIiIiIiIiHxp/X8AAAD//+zdzY4c1QGG4a+qf6Zn2uMZBoONBUkAIViETaQsciXcFxdDuAwSJAgEggTYxh57PH89/VdVJwuDoiwiYWug6M7zrHr57Vqn31NdAjAAwAv6KQB/8cUXmc/nWSwWadu271n8DKWUzOfzfPTRRymlZDab+btuAAAAALaCAAwA8IJ+Coez2azvKbyArutycnLS9wwAAAAAuFZ13wMAAAAAAAAAuB4CMAAAAAAAAMCWEIABAAAAAAAAtoQADAAAAAAAALAlBGAAAAAAAACALSEAAwAAAAAAAGwJARgAAAAAAABgSwjAAAAAAAAAAFtCAAYAAAAAAADYEgIwAAAAAAAAwJYQgAEAAAAAAAC2hAAMAAAAAAAAsCWGfQ8AAH5hdZVMxynTcbrdUdqdYdpRna6uU6q+xwEAAPCiqpJUpWTQdBmsmtTzJvV8lVyskqZNSt8LAYA+CMAAsI2qKhkP0u3vZH0wSTmYpLs5STsdp90dphkN0w0EYAAAgE1WJanakkHTZrhsMpitU8+WqU4XGZ7NMzhfppqvk7breyoA8CsSgAFg2wzrdPs7aW9N09w9yNWd/bRVUi2bZNUkF4uUpkspxW1wAACADVaSpE6auk47rJPpMOVokuqtlzM5ucr4/nmGjy5Sny6ehWAA4P+CAAwA26KqnsXfW9Ms330l528cplq3SdNmcHyRwYPT5NF5ytNZuotlulWTFAUYAABgY1VVqmGdenec+nA3eXk/5e5h1ncOM9/fydUf72Rydpjp148z+NfJszNi5xwIANtOAAaALVHtDrN+8yhX79zK/MYkVdNl/OWDlM8fpH10nvWq+fF6uCd/AQAAtkIpKes27Xqe9mKRfPc0+du3GR5OU79zO817r2VxdCPt+69l+uo0k0/up5yvXAYGgC0nAAPANjiY5OrdVzJ//TDdIBl+9zj1p9+nuXeaLNYpbeeADwAAsM1+OvOVpDu9Svf3b1PfO0n9zu10b9/OxZ2DLP8yzv4n91M9niWN9wIDwLYSgAFgw1V7o//E37ZN9c/jlM/upX06S1k2fc8DAADgV1a6Lpl36R6eJ7NV8mSW6v3Xs7y1n+r91zL99EFqERgAtpYADACbrKqyfusoi7sH6Zo21VcPUz67l3J80fcyAAAAelbWbfJ0lmrZJG2X+k+/z+LlaUZvH2W8alKfzPueCAD8AgRgANhUwzrdrWmu/nCUdlCl+vo45fP74i8AAAD/pVwtk68fpR7UyZ/fzOLOzdRny4yWbarZqu95AMA1q/seAAC8gKpK2Rtn+d6rWd6cpDo+S/nyQcqj876XAQAA8BtUFuu0n93P4JvjrKpk8buX0t6+kQyqvqcBANdMAAaATTSu097ay/kbhylNl+ofP6R6ctn3KgAAAH7L2i7Vp9+lOpllfjjJ8vZ+Mh33vQoAuGYCMABsoG5vnOaNl5JSMv7qYbp7T9PN133PAgAA4LeslDTHlxl99TCD83nao720r+73vQoAuGYCMABsmrpKc2Mnl3dvJiUpX/6QXHlnEwAAAD9P983jlNN5loe7mb9yIxn4mRgAtolvdgDYNHujlJd20yUZPjxL++QyZd32vQoAAIAN0Z1dpT4+T+ardNNRcrTb9yQA4BoJwACwYcpklO5gkjRtBveeJst1UkrfswAAANgQpe1SPblMfT5PNxmlOxCAAWCbCMAAsGG6yTDtjZ2kaZMfzpJW/AUAAOD5VKez5HKRsjNIe3On7zkAwDUSgAFgw3TjQdq9UdJ2KSeXKV3X9yQAAAA2TLlcpsxX6UaDNHujvucAANdIAAaADdMOBlmPh0lX0l0sEw8AAwAA8JzKYp2ybNMN6qx3BGAA2CbDvgcAAM+nDKp0gzqlJN2q8f5fAAAAnlvXdCltl9TPzpgAwPbwzQ4AG6YkKdWPn8RfAAAAXkQpSUpKkq7qewwAcJ0EYAAA+B8+/PDDfPzxX/PBBx/0PQUAAK6fO8UAsJX+DQAA///s3VlQneed5/HvOQc4rAc4LILDvktGIATakKw92ixZipKWY2fiVByPb1KTmr7oqfFU5aKX6al29Vykq3rSSV90pqenPRU7TtuWZWvFi9CCJEACsUjsyzGIfTsczj4XSIxlQMIxsizN73Ml1/u8z/u8L/8Lyj/+z6MAWERERERkEdnZ2RQWFpKQEP+4lyIiIiIiIiIiIrIkCoBFRERERERERERERERERJ4SCoBFRERERERERERERERERJ4SCoBFRERERERERERERERERJ4SCoBFRERERERERERERERERJ4SCoBFRERERERERERERERERJ4SCoBFRERERERERERERERERJ4SQY97ASIiIiLy6AQHB1NQUMDGjRsICQmhouJj2tra8Hq9y/oMm83G+vXrCQoKoq2tjdbWVkZHR5ftGSIiIiIiIiIiIrI0CoBFREREnmIZGRkcOLCfAwcOAJCens7f/M0bjI+PL9szzGYzOTk5/OhH/47Q0FBOnjzJyMiIAmAREREREREREZHHQAGwiIiIyFMsMTGRgoIC8vLy8Hg8GI0mQkPNTEwYCAQCy/IMo9FITEwMq1atIjw8nLq6OsLCQpdlbhEREREREREREflqFACLiIiIPMXGx8ex2+18/nkfEKCpqQmPx7ts4a+IiIiIiIiIiIh8uygAFhEREXmKtbS08OGHH+F0zhASEsLx48eZnJx83MsSERERERERERGRR0QBsIiIiMhTzO12U1VVRVVV1eNeioiIiIiIiIiIiHwDjI97ASIiIiIiIiIiIiIiIiIisjzUASwiIiLLLiwsDJ/Ph9frxe/3P3BsSEgIwcHBuFwuvF7vN7TCR8toNGI2mzEYDDidzmU7b9dkMhEaGorBYMDhcPx/d45vWFgYQUFBeDweZmZmHvdyREREREREREREvpUUAIuIiMhXEhERwfPPHyIjI5OQkGA++ugkN27cwGazsWHDBrKzs0hNTcNggJGRUerr67hy5QpdXd1zc0RHR7Np0yaKi4tITrYRFhbK9PQ0drud7u5uzp+vZHBwcC48tlgsbNq0ibKyMoKCTFy5coWamhoGB4ceuFar1Upp6VrKy8sBuHDhIrW1tYyOji77d8nOzqaoqIjs7GwSExOIiYkBDAwNDdLX109XVxcNDQ10dnYueH90dDRlZWVs2bIZp3OGq1evcuXKFQKBACUlJZSVlZGRkY7FYgFgcnKK1tZWqqqqaG1tZWpqasF5IyIi2LBhA88+u4XpaSc3blzn/PlKXC7Xsn+DpcrJyWHDhvXk5ubidnvo7e3h3XffY3p6+r5QOywsjNzcXMrLy8nMzCA6OpqgoGA8HjfDwyNz79/e3j7vjwcsFgvl5bM1YzKZqKqarZmhoaXUTCnl5ZsAsNmSl/8DiIiIiIiIiIiIPEIKgEVEROQrMZvNbN26lXXr1hEWFkZraxtOp5NDhw6xdetWkpOTiIuLm+tSLS1dS3Z2DidPnuTmzZukpqZy5MhhtmzZQk5ODrGxsQQHB+PxeBgeHubOnTvYbDZOnPiQjo4O/H4/BoOByMhIjh79LqGhoVitcQwNDT80AE5KWsHBgwfZvXs3fr+fmzcblrVr1mAwEBoaSnl5OTt27KC4uAibzUZ0dDTh4eEATE5OMjIywp07d7hy5SqnT5/mxo0b8zqjw8PDKS4u4tixY0xMTDA97aC3t4fy8s3s2LGdVatWkZiYSGhoKDB7tq/dbqekpISKigoqKyvp6+ubt8bQUDNFRas5duwY4+PjBAIBLl+uemwBcFZWFocPH2bv3j3ExcXR0tLCzZv1930Pg8GAzWbj2WefZfv2bRQWFpKUlERoaChGoxG/34/D4cBut1NWVsrZs+e4ePECo6Njcz9fo9FIZGQUR48exWw2Y7VaGRoaemgAnJycxKFDB9m1axd+v5/o6OhH+j1ERERERERERESWmwJgERER+UruhbGxsbGEhYWRn59HcnIS+/fvw2QKoquri56eHmJiYkhKSmLNmjUkJq4gMjICj8fDgQMH+MEPXsBoNDI8PEx3dzfBwcFYrVZSUlJITk4mLi4Ot9vD8ePHsdvtOJ1OmpqaCAQCWCwWSkvXUllZSW1t7aJbTJtMJpKTZ7uSo6Oj6e/vp7u7e9FO2T9GSEgImzdv5sc/fpmysnWEhpoZHx+nq6uLiYkJ/H4/ERERpKamkpKSQlpaGtHR0fh8Xurq6u+by2g0EhYWRmxsLEFBQVitVvbv3893v/tdUlJSGB+f4Pbt27hcbuLirCQkJJCRkUFGRgYpKTbMZjMffvghIyMji84LBsLDwzEYDMv2Db6KtLQ0Dh8+zOHDh7HZkmlubub06dOcO1eBy+WaC29TUlLYu3cvx44dY/XqQrxeL0NDQ7S3d+B2uwgPDyc+Pp7c3Fzy8/NJT0/HZDJRWVnJ8PAwANPT01+qmVLOn6/k+vXri9ZMUNBszaxfv36uZh62hbmIiIiIiIiIiMi3jQJgERER+Vq2bt3K6Ogovb12Ll26RFNTE0FBQWRlZbF9+zaKi4tJTk5i3759GAxGDh9+noGBAa5cucKNG3UMDg4SFhZKfn4B+/btJS8vj7S0NPbv30d3dzd2ux23201vby/19fVYLBbS0tLIzMwkKiqK8fHxBddlsVjIzMwgNTUVn8/H5ctVDAwMLNs5w0ajkdjYWF599aesW7cOk8lEU1MT1dU13LrVPLfuxMQVbNmymfLyclJTU9m3by9er4f6+puLdiMHBQWRl5fHypUr8Xg8XL16lfr6m7S0tDA5OUl+fh6FhYWsWbMGm81GSUkJfn+A4eFhTp069a0LLU0mE1arlcOHD/PCC8dISEigsbGRd955h7feevu+buTw8HC2b9/GSy+9SEFBAdPT09TX11NXV0djYxOTk5MkJCTwzDOrWLNmDYWFhaxfvx6fz8fExAQXLlzA7XZ/oWZusmXL5rs1k7HkmvF6vVy+fJkdO3ZgtVq/qU8lIiIiIiIiIiLytSkAFhERka8lIyOD5uZmfvObf6S+/v6u1traGl577TX27dtHcnIyL7/8IyYmJvj1r39DRUXFfd2qFRUfU1NTzRtvvEFycjLp6enYbDYMBgOBQAC3283Zs+coKprdZjknJ5ucnBxqamoWXFd6ehqFhYUYjUacTicff1yxaPD3xzCbzaSnp5Ofnz+3HfNvf/s/+eCDD+Ztr3zq1Cl+/vP/wIsvvkhcXBxFRcWEhpqZmXEtGAKHhYWxa9cunE4nv/71r3nnnXfuO0O5oqICgJ/+9Kf88IcvkZeXx6pVKzl69LtUVlYyOTm5bO/5dRmNRqxWK0eOHOG11/49UVEWGhpu8q//+ibvvvsuHo/nvvEFBQVs27adlStX4nQ6aWxs5M/+7D9ht9vvGxsREUFZWdndekli48aN3Lhxg46Odjo7uwDu1sxZiopWk5ycTE5ODtnZ2dTW1i641rS09LmacbvdVFRUsHbtWgXAIiIiIiIiIiLyRDE+7gWIiIjIk626upr33z/OzZs3F7hWQ3V1zVwgOTMzw1tvvc1nn33G6OjofWOdTicXL16ioaGB6elp4uLiSEhIICQkBACPx0NFRcXcObY5OTkUFBQsuq709AxWry6a6wy9fLlqWbd/vrfmv/3b/85f//V/4/XX/wtnzpxZ8GzdmZkZLl26TF1dPSaTiehoC/n5+RiND/5V7PTp05w4cYLu7p4Fr7/55pt8/PEnDA+PEB4eTk5OLhs3bnzovN+kuLg4Dh9+ntdf/89YrVYaGxv51a/+gffee29e+AuwY8d2SkrW4Pf7aW1t5a/+6r/S3d09b6zD4aCmpoa//Mu/YHx8HIPBwPr16yksXD03xu12c+7cuS/UTO4DayYjI4PCwtX4fD7Gx8e5dOnysteMiIiIiIiIiIjIo/bt+b+DIiIi8kRqb++go6NjwU5Wv9/PnTt36O21A7OBXHX1Naanpxcd39nZidPpxGg0EhMTTVxc3Ny14eFh6urqGB0dJSMjg7y8vLmA+IvCw8PIyEgnKyuTqakpPv30M6amppZ1a2SXy8Xt27f56KOPOHHiBI2NjQ8MC4eHhxgbmw29w8LCKCgowGQyLTj2XsfzP//z/6Kzs2vRraJdLhenTp2kuvoaADEx0WzYsOGxnfH7ZSkpKXzve9/jZz/7GSEhIVy7do1f/vKXXLhwYcHwNzY2lpycXBITExkZGeHGjRs0NjYs+nObnp7m0qXL9Pb24na7yc3NJSsrk6Cg2U1uvlwzmZmzNRMcHDxvrvDwcDIzM8jKymRycpLPPjuPw+FY9NuLiIiIiIiIiIh8W2kLaBEREflaPv/8c/r6+ha97nLN4HROA+Dz+Whra8ftnt8lC7PB5/DwMG63G5g9C/eLYZ3P5+PSpUsUF69h5coC0tPTyMnJpqmp+b55MjMzyc7Oxmw2Mzg4yLlz5+bmvCc+Pp6srKwld8sODw/T19eHw+EAZsNFl8u1YMfvQjwez9z5wyaTiYiIyEXH+nw+envt9PX1PXD+QCBAR0cn/f39AERGRvLMM89gNBrx+XxLWldwcDAJCQmkpaUtaTxAT08PQ0ND877pF6WlpbN16zZefPFFLBYLVVVV/OpX/0B1dfWiW1RnZWWRkBBPUFAQ4+MTdHR0MjOz+Pv7/X4cDgednZ1kZmYSGRlJQkIi0dHRDA8PA7Pf8uLFSxQXF1NQMFszubk582omKyuTrKwszGYzAwMDVFTM1ozyXxERERERERERedIoABYREZGvxeFwMD09veh1vz+A3z+bogUCARwOx9x/L8Tj8Xyh69Iwr5v16tVrPP+8nfz8PFJSUiguLp4X5uXnF5CTk4vH46Gvr4/q6uq58PWelSsLeOWVVxbsIF7I5cuX+fDDj+jo6Jh3zWAwEBMTQ2JiIklJSSQkxBMVFUVIiBmz2YzZHMKKFStYu3bt3D1G4/x3++I36OjoeGDAes/ExASjo2O4XC5CQkJISlqxpPe5JyIigvXr1/Mnf/L9Jd/z9ttvc+HCxbmQ9cuKi4tJSkoiOTmZrKxMRkdHefvt33Pt2rUHnk+8YsUKIiIiALBaY9m69VlMpgcH9Eajaa4T3Gg0EhkZSXS05b61Xb16lcOHD5OXl0dKSipFRUWL1EzOF2qmZskhuoiIiIiIiIiIyLeJAmARERH5Wvx+/7JurfxFBgPzQlK73U5LSwvFxcUkJydTVFTM73//zlxYFxISQn5+HhkZ6YyNjVFff5PBwcF5c69YkcS2bdsIDQ1d0lomJiY4f77yS+szYLFY2Lx5891w0XY3AE4gKioKs9lMSEgIZrOZ0NDQua2JH8br9dLZ2TkvtF6Ix+NhfHyM8fFxEhISiIiIICgoCK/Xu6Tti81mM5mZmezYsWNJawO4cuUK1dXVi14vKCiY2+LaYDBgMpmIj4/HbDbf/QOAhevFYomaC+RjY2PZvHkzK1eufOBaDAYD8fHxc9tph4aaCQ8Pv2/MvZopKlqNzTZbM++884cv1Uw+6ekZjI6OLlozIiIiIiIiIiIiTwIFwCIiIvJE8fl8XL9+g7KyMkpLS8nLmz0z9t421ElJK8jMzMJqtVJfX8/FixcXnGdoaIirV68REjL/PNiFtLa2zm3/DLPbUyckxLN16zZeeeUn5OXlEQgEmJqaYnp6mpkZF06nE6/Xi9frxWw2k5i4gvj4uIc+6/91Si8tWHe7PbhcrrmwdbGzhRe+143dbqeqqmrJ99jtn+NyLd6dHBQUxNjYGA7HNBER4URFRfHKKz+hp6eH8+fPMzY2tuB9wcHBc1tyO51OhoeHGR8ff+h6hoaG5v7d19eP13t/5+5szVynrKyUtWvXLlAzSWRlZWK1xlJXV7dozYiIiIiIiIiIiDwJFACLiIjIE6e+vo729nZKS0tJSEigrKyMDz74AICiomJSUmz4fD7sdvuinao1NTX84he/WHQb5i+bmpq6L7i0WCzs2rWL119/HYvFwvj4OK2trTQ3N9PdPXtG7vT09N0tsh0kJSVx9OhR9uzZ89BnmUwmbDbbkjqGDQYDkZGRWCzR+P1+3G43LpdrSd2/MNvZfO7cOWpra5c0HmBkZOSBWzn7fD5qamqor79JQUE+u3fvJikpiddee42xsTGuXr3KzMzMvPump51zXc937tzh1KlTVFVdeeh6DAbmthUfGBhY8EzqurrZmlm7du3dminlgw9OALNbVttsNrxeL3a7nZqamiV9BxERERERERERkW8jBcAiIiLyxOnu7qG1tY3R0VFiY2PZtGnTXABcUlKCzZbCwMAAzc23Fj2ndnJy8oEh5sPEx8dz9OhRLBYLfr+ff/mX/81bb71FV1fXguPz8nIZGRlZ0txBQUFkZ2cRHPzwX9XMZjNWaywWSxQej2fR7trF+Hw+RkdHGR0d/Ur3PcjIyChnzpzld7/7HevWrSM3N5ecnBzWri3hxRd/gMPhoLa2dl5IPTExMddZPDXloLn5FmfOnFmWNXV3d9PWdq9mrGzcuGkuAF67tgSbzXa3ZpoXrRkREREREREREZEngfFxL0BERETkj3Hr1i0aGhqIiYmhrKyM0NBQYmJiWLVqJfHxcbS3t3+lrtavwmQyERMTQ2FhIQaDgbq6eiorK+nt7V30HpvNRmJi4pLmDw4OJjs7m+DgkIeOTUxMJCYmFoPBgNPppKOjY8ndv49KZeV5Ghoa8Hq9NDQ08MYbbzA1NYXf72fPnj0cOnSI7Ozseff19PQwOTkBQHS0hfT0tGVdV3PzLRobG4mNjaGsrHSuZlauXEVcXBzt7R1cv35jWZ8pIiIiIiIiIiLyTVMALCIiIk+k27dv09DQgMlkIj4+jnXryti0aSMJCQkAtLd3cPPmzUfy7JCQEGJjYwkPD8dgMNw979aBz+db9J7s7BzS0pYWaBqNRqKioti7d+8DQ2ODwcDmzeUUFj4DzHbQVldXP/YAeGZmBo/HPXcm8rVr1fzd3/0dY2NjhIWFceDAAQ4dOkRc3P3nIXd3d9Pb24vD4cBqtVJYWEhiYuIDt+k2GAzk5eVRXl7Otm3byM7OXvQM5Nk/GmjEZDIRF/fFmokHoL29jfr6+uX7ECIiIiIiIiIiIo+BAmARERF5Ig0ODtLS0kp/fz/h4eFs376dHTt2YLVasdvttLS0LHnL5a/K4/EwMTHB5OQkgUCAlBQbMTE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
Download .txt
gitextract_dd700m32/

├── .gitignore
├── LICENSE
├── README.md
├── anthropic_api_fundamentals/
│   ├── 01_getting_started.ipynb
│   ├── 02_messages_format.ipynb
│   ├── 03_models.ipynb
│   ├── 04_parameters.ipynb
│   ├── 05_Streaming.ipynb
│   ├── 06_vision.ipynb
│   └── README.md
├── prompt_engineering_interactive_tutorial/
│   ├── AmazonBedrock/
│   │   ├── CONTRIBUTING.md
│   │   ├── LICENSE
│   │   ├── README.md
│   │   ├── anthropic/
│   │   │   ├── 00_Tutorial_How-To.ipynb
│   │   │   ├── 01_Basic_Prompt_Structure.ipynb
│   │   │   ├── 02_Being_Clear_and_Direct.ipynb
│   │   │   ├── 03_Assigning_Roles_Role_Prompting.ipynb
│   │   │   ├── 04_Separating_Data_and_Instructions.ipynb
│   │   │   ├── 05_Formatting_Output_and_Speaking_for_Claude.ipynb
│   │   │   ├── 06_Precognition_Thinking_Step_by_Step.ipynb
│   │   │   ├── 07_Using_Examples _Few-Shot_Prompting.ipynb
│   │   │   ├── 08_Avoiding_Hallucinations.ipynb
│   │   │   ├── 09_Complex_Prompts_from_Scratch.ipynb
│   │   │   ├── 10_1_Appendix_Chaining_Prompts.ipynb
│   │   │   ├── 10_2_Appendix_Tool_Use.ipynb
│   │   │   ├── 10_3_Appendix_Empirical_Performance_Evaluations.ipynb
│   │   │   └── 10_4_Appendix_Search_and_Retrieval.ipynb
│   │   ├── boto3/
│   │   │   ├── 00_Tutorial_How-To.ipynb
│   │   │   ├── 01_Basic_Prompt_Structure.ipynb
│   │   │   ├── 02_Being_Clear_and_Direct.ipynb
│   │   │   ├── 03_Assigning_Roles_Role_Prompting.ipynb
│   │   │   ├── 04_Separating_Data_and_Instructions.ipynb
│   │   │   ├── 05_Formatting_Output_and_Speaking_for_Claude.ipynb
│   │   │   ├── 06_Precognition_Thinking_Step_by_Step.ipynb
│   │   │   ├── 07_Using_Examples_Few-Shot_Prompting.ipynb
│   │   │   ├── 08_Avoiding_Hallucinations.ipynb
│   │   │   ├── 09_Complex_Prompts_from_Scratch.ipynb
│   │   │   ├── 10_1_Appendix_Chaining_Prompts.ipynb
│   │   │   ├── 10_2_Appendix_Tool_Use.ipynb
│   │   │   ├── 10_3_Appendix_Empirical_Performance_Eval.ipynb
│   │   │   └── 10_4_Appendix_Search_and_Retrieval.ipynb
│   │   ├── cloudformation/
│   │   │   └── workshop-v1-final-cfn.yml
│   │   ├── requirements.txt
│   │   └── utils/
│   │       ├── __init__.py
│   │       └── hints.py
│   ├── Anthropic 1P/
│   │   ├── 00_Tutorial_How-To.ipynb
│   │   ├── 01_Basic_Prompt_Structure.ipynb
│   │   ├── 02_Being_Clear_and_Direct.ipynb
│   │   ├── 03_Assigning_Roles_Role_Prompting.ipynb
│   │   ├── 04_Separating_Data_and_Instructions.ipynb
│   │   ├── 05_Formatting_Output_and_Speaking_for_Claude.ipynb
│   │   ├── 06_Precognition_Thinking_Step_by_Step.ipynb
│   │   ├── 07_Using_Examples_Few-Shot_Prompting.ipynb
│   │   ├── 08_Avoiding_Hallucinations.ipynb
│   │   ├── 09_Complex_Prompts_from_Scratch.ipynb
│   │   ├── 10.1_Appendix_Chaining Prompts.ipynb
│   │   ├── 10.2_Appendix_Tool Use.ipynb
│   │   ├── 10.3_Appendix_Search & Retrieval.ipynb
│   │   └── hints.py
│   └── README.md
├── prompt_evaluations/
│   ├── 01_intro_to_evals/
│   │   └── 01_intro_to_evals.ipynb
│   ├── 02_workbench_evals/
│   │   └── 02_workbench_evals.ipynb
│   ├── 03_code_graded_evals/
│   │   └── 03_code_graded.ipynb
│   ├── 04_code_graded_classification_evals/
│   │   └── 04_code_graded_classification_evals.ipynb
│   ├── 05_prompt_foo_code_graded_animals/
│   │   ├── README.md
│   │   ├── animal_legs_tests.csv
│   │   ├── lesson.ipynb
│   │   ├── package.json
│   │   ├── promptfooconfig.yaml
│   │   ├── prompts.py
│   │   └── transform.py
│   ├── 06_prompt_foo_code_graded_classification/
│   │   ├── README.md
│   │   ├── dataset.csv
│   │   ├── lesson.ipynb
│   │   ├── promptfooconfig.yaml
│   │   └── prompts.py
│   ├── 07_prompt_foo_custom_graders/
│   │   ├── README.md
│   │   ├── count.py
│   │   ├── lesson.ipynb
│   │   └── promptfooconfig.yaml
│   ├── 08_prompt_foo_model_graded/
│   │   ├── README.md
│   │   ├── lesson.ipynb
│   │   └── promptfooconfig.yaml
│   ├── 09_custom_model_graded_prompt_foo/
│   │   ├── README.md
│   │   ├── articles/
│   │   │   ├── article1.txt
│   │   │   ├── article2.txt
│   │   │   ├── article3.txt
│   │   │   ├── article4.txt
│   │   │   ├── article5.txt
│   │   │   ├── article6.txt
│   │   │   ├── article7.txt
│   │   │   └── article8.txt
│   │   ├── custom_llm_eval.py
│   │   ├── lesson.ipynb
│   │   ├── promptfooconfig.yaml
│   │   └── prompts.py
│   └── README.md
├── real_world_prompting/
│   ├── 01_prompting_recap.ipynb
│   ├── 02_medical_prompt.ipynb
│   ├── 03_prompt_engineering.ipynb
│   ├── 04_call_summarizer.ipynb
│   ├── 05_customer_support_ai.ipynb
│   └── README.md
└── tool_use/
    ├── 01_tool_use_overview.ipynb
    ├── 02_your_first_simple_tool.ipynb
    ├── 03_structured_outputs.ipynb
    ├── 04_complete_workflow.ipynb
    ├── 05_tool_choice.ipynb
    ├── 06_chatbot_with_multiple_tools.ipynb
    └── README.md
Download .txt
SYMBOL INDEX (7 symbols across 4 files)

FILE: prompt_evaluations/05_prompt_foo_code_graded_animals/prompts.py
  function simple_prompt (line 1) | def simple_prompt(animal_statement):
  function better_prompt (line 9) | def better_prompt(animal_statement):
  function chain_of_thought_prompt (line 17) | def chain_of_thought_prompt(animal_statement):

FILE: prompt_evaluations/05_prompt_foo_code_graded_animals/transform.py
  function get_transform (line 1) | def get_transform(output, context):

FILE: prompt_evaluations/06_prompt_foo_code_graded_classification/prompts.py
  function basic_prompt (line 1) | def basic_prompt(complaint):
  function improved_prompt (line 13) | def improved_prompt(complaint):

FILE: prompt_evaluations/07_prompt_foo_custom_graders/count.py
  function get_assert (line 3) | def get_assert(output, context):
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    "preview": "# Welcome to Anthropic's Prompt Engineering Interactive Tutorial\n\n## Course introduction and goals\n\nThis course is inten"
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    "preview": "description: \"Animal Legs Eval\"\n\nprompts:\n  - prompts.py:simple_prompt\n  - prompts.py:better_prompt\n  - prompts.py:chain"
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    "chars": 1286,
    "preview": "def simple_prompt(animal_statement):\n    return f\"\"\"You will be provided a statement about an animal and your job is to "
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    "preview": "To get started, set your ANTHROPIC_API_KEY environment variable\n\nThen run:\n```\npromptfoo eval\n```\n\nAfterwards, you can v"
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    "preview": "complaint,__expected\nThe app crashes every time I try to upload a photo,contains-all:Software Bug\nMy printer isn't recog"
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]

// ... and 36 more files (download for full content)

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